From 940502a398a0f160b125cb79d251cfd37f7ea724 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Mon, 25 Apr 2022 16:41:10 +0200 Subject: [PATCH 001/217] merge_final script: added option for additional tile ID path to select tiles; clean-up --- scripts/python/merge_final_cat.py | 82 ++++++++++++++++++++----------- 1 file changed, 54 insertions(+), 28 deletions(-) diff --git a/scripts/python/merge_final_cat.py b/scripts/python/merge_final_cat.py index 7f62ae250..630297482 100755 --- a/scripts/python/merge_final_cat.py +++ b/scripts/python/merge_final_cat.py @@ -28,8 +28,8 @@ class param: """General class to store (default) variables - """ + """ def __init__(self, **kwds): self.__dict__.update(kwds) @@ -49,10 +49,10 @@ def params_default(): Returns ------- - p_def: class param + class param parameter values - """ + """ p_def = param( input_path = '.', input_name_base = 'final_cat', @@ -72,12 +72,11 @@ def parse_options(p_def): Returns ------- - options: tuple - Command line options - args: str - Command line str - """ + list + command line options + command line str + """ usage = "%prog [OPTIONS]" parser = OptionParser(usage=usage) @@ -90,7 +89,6 @@ def parse_options(p_def): default=p_def.input_path, help=f'input path, default=\'{p_def.input_path}\'' ) - parser.add_option( '-n', '--input_name_base', @@ -99,6 +97,14 @@ def parse_options(p_def): default=p_def.input_name_base, help=f'input name base, default=\'{p_def.input_name_base}\'' ) + parser.add_option( + '-l', + '--list_tile_ID_path', + dest='tile_ID_list_path', + type='string', + default=None, + help=f'tile ID list, default: Use all data in input files\'' + ) # Control parser.add_option( @@ -142,10 +148,10 @@ def check_options(options): Returns ------- - erg: bool + bool Result of option check. False if invalid option value. - """ + """ return True @@ -161,10 +167,10 @@ def update_param(p_def, options): Returns ------- - param: class param + class param updated paramter values - """ + """ param = copy.copy(p_def) # Update keys in param according to options values @@ -194,10 +200,10 @@ def read_param_file(path, verbose=False): Returns ------- - param_list: list of str + list of str parameter names - """ + """ param_list = [] if path: @@ -250,10 +256,10 @@ def get_data(path, hdu_num, param_list): Returns ------- - data: numpy array + numpy array data columns - """ + """ hdu_list = fits.open(path) hdu = hdu_list[hdu_num] @@ -290,21 +296,42 @@ def main(argv=None): param.param_list = read_param_file(param.param_path, verbose=param.verbose) + # read (optional) input tile ID file + if param.tile_ID_list_path: + tile_ID_list = cfis.read_list(param.tile_ID_list_path) + + # find input catalogue FITS files l = os.listdir(path=path) ext = 'fits' lpath = [] for this_l in l: - if this_l.endswith(ext): - lpath.append(os.path.join(path, this_l)) + + add_this_l = False + + # mark to add if correct extension, matches input pattern, not `.npy` file + if ( + this_l.endswith(ext) + and (f'{param.input_name_base}' in this_l) + and ('.npy' not in this_l) + ): + add_this_l = True + + # unmark to add if no in (optional) input tile ID file + if param.tile_ID_list_path: + nix, niy = cfis.get_tile_number(this_l) + tile_ID = f'{nix}.{niy}' + if tile_ID not in tile_ID_list: + add_this_l = False + if add_this_l: + lpath.append(os.path.join(path, this_l)) if param.verbose: - print(f'{len(lpath)} files files found in input path') + print(f'{len(lpath)} files files to merge found') count = 0 - # Determine number of columns and keys + # Determine number of columns and keys from first catalogue file d_tmp = get_data(lpath[0], param.hdu_num, param.param_list) - d = np.zeros(d_tmp.shape, dtype=d_tmp.dtype) for key in d_tmp.dtype.names: d[key] = d_tmp[key] @@ -312,12 +339,11 @@ def main(argv=None): if param.verbose: print(f'File \'{lpath[0]}\' copied ({count}/{len(lpath)})') - for idx in lpath[1:]: - if (f'{param.input_name_base}' not in idx) | ('.npy' in idx): - continue + # merge remaining catalogue files + for fname in lpath[1:]: try: - d_tmp = get_data(idx, param.hdu_num, param.param_list) + d_tmp = get_data(fname, param.hdu_num, param.param_list) dd = np.zeros(d_tmp.shape, dtype=d.dtype) for key in d_tmp.dtype.names: @@ -325,11 +351,11 @@ def main(argv=None): count = count + 1 if param.verbose: - print(f'File \'{idx}\' copied ({count}/{len(lpath)})') + print(f'File \'{fname}\' copied ({count}/{len(lpath)})') d = np.concatenate((d, dd)) except: - print(f'Error while adding file \'{idx}\', {len(dd)} objects not in final cat') + print(f'Error while adding file \'{fname}\', {len(dd)} objects not in final cat') # Save merged catalogue as numpy binary file if param.verbose: From bfc6ebbedd70e1ab4c5e61660ecefc650843e882 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Tue, 24 May 2022 09:04:35 +0200 Subject: [PATCH 002/217] added tiles 2022/05 and HST North fields (updates) --- auxdir/CFIS/tiles_202205/tiles_CFIS_r.txt | 18754 ++++++++++ auxdir/CFIS/tiles_202205/tiles_CFIS_u.txt | 32627 ++++++++++++++++++ auxdir/CFIS/tiles_202205/tiles_HSC_g.txt | 13163 +++++++ auxdir/CFIS/tiles_202205/tiles_PS_i.txt | 22168 ++++++++++++ auxdir/CFIS/tiles_202205/tiles_WISHES_z.txt | 1080 + auxdir/CFIS/tiles_202205/tiles_g.txt | 1 + auxdir/CFIS/tiles_202205/tiles_i.txt | 1 + auxdir/CFIS/tiles_202205/tiles_r.txt | 1 + auxdir/CFIS/tiles_202205/tiles_u.txt | 1 + auxdir/CFIS/tiles_202205/tiles_z.txt | 1 + scripts/jupyter/plot_spectro_areas.ipynb | 211 +- 11 files changed, 87981 insertions(+), 27 deletions(-) create mode 100644 auxdir/CFIS/tiles_202205/tiles_CFIS_r.txt create mode 100644 auxdir/CFIS/tiles_202205/tiles_CFIS_u.txt create mode 100644 auxdir/CFIS/tiles_202205/tiles_HSC_g.txt create mode 100644 auxdir/CFIS/tiles_202205/tiles_PS_i.txt create 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a/auxdir/CFIS/tiles_202205/tiles_r.txt b/auxdir/CFIS/tiles_202205/tiles_r.txt new file mode 120000 index 000000000..00220a571 --- /dev/null +++ b/auxdir/CFIS/tiles_202205/tiles_r.txt @@ -0,0 +1 @@ +tiles_CFIS_r.txt \ No newline at end of file diff --git a/auxdir/CFIS/tiles_202205/tiles_u.txt b/auxdir/CFIS/tiles_202205/tiles_u.txt new file mode 120000 index 000000000..91e7d278e --- /dev/null +++ b/auxdir/CFIS/tiles_202205/tiles_u.txt @@ -0,0 +1 @@ +tiles_CFIS_u.txt \ No newline at end of file diff --git a/auxdir/CFIS/tiles_202205/tiles_z.txt b/auxdir/CFIS/tiles_202205/tiles_z.txt new file mode 120000 index 000000000..db14006aa --- /dev/null +++ b/auxdir/CFIS/tiles_202205/tiles_z.txt @@ -0,0 +1 @@ +tiles_WISHES_z.txt \ No newline at end of file diff --git a/scripts/jupyter/plot_spectro_areas.ipynb b/scripts/jupyter/plot_spectro_areas.ipynb index 7d4f5aed1..8d8118573 100644 --- a/scripts/jupyter/plot_spectro_areas.ipynb +++ b/scripts/jupyter/plot_spectro_areas.ipynb @@ -9,9 +9,33 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning: cannot import _healpy_pixel_lib module\n" + ] + }, + { + "ename": "ImportError", + "evalue": "dlopen(/Users/mkilbing/anaconda3/envs/shapepipe/lib/python3.8/site-packages/healpy/_healpy_sph_transform_lib.cpython-38-darwin.so, 2): Symbol not found: _aligned_alloc\n Referenced from: /Users/mkilbing/anaconda3/envs/shapepipe/lib/python3.8/site-packages/healpy/.dylibs/libstdc++.6.dylib (which was built for Mac OS X 11.3)\n Expected in: /usr/lib/libSystem.B.dylib\n in /Users/mkilbing/anaconda3/envs/shapepipe/lib/python3.8/site-packages/healpy/.dylibs/libstdc++.6.dylib", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mImportError\u001b[0m Traceback (most recent call last)", + "Input \u001b[0;32mIn [3]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mastropy\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m units \u001b[38;5;28;01mas\u001b[39;00m u\n\u001b[1;32m 10\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mpandas\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mpd\u001b[39;00m\n\u001b[0;32m---> 12\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mskymapper\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mskm\u001b[39;00m\n", + "File \u001b[0;32m~/anaconda3/envs/shapepipe/lib/python3.8/site-packages/skymapper/__init__.py:39\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 36\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m meta\u001b[38;5;241m.\u001b[39m\u001b[38;5;21m__prepare__\u001b[39m(name, bases)\n\u001b[1;32m 37\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mtype\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;21m__new__\u001b[39m(metaclass, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtemporary_class\u001b[39m\u001b[38;5;124m'\u001b[39m, (), {})\n\u001b[0;32m---> 39\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmap\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;241m*\u001b[39m\n\u001b[1;32m 40\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mprojection\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;241m*\u001b[39m\n\u001b[1;32m 41\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m survey\n", + "File \u001b[0;32m~/anaconda3/envs/shapepipe/lib/python3.8/site-packages/skymapper/map.py:6\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mre\u001b[39;00m\u001b[38;5;241m,\u001b[39m \u001b[38;5;21;01mpickle\u001b[39;00m\n\u001b[1;32m 5\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mscipy\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01minterpolate\u001b[39;00m\n\u001b[0;32m----> 6\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m healpix\n\u001b[1;32m 7\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m survey_register\n\u001b[1;32m 8\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlines\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Line2D\n", + "File \u001b[0;32m~/anaconda3/envs/shapepipe/lib/python3.8/site-packages/skymapper/healpix.py:1\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mhealpy\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mhp\u001b[39;00m\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mnumpy\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mnp\u001b[39;00m\n\u001b[1;32m 4\u001b[0m \u001b[38;5;66;03m# python 3 compatible\u001b[39;00m\n", + "File \u001b[0;32m~/anaconda3/envs/shapepipe/lib/python3.8/site-packages/healpy/__init__.py:67\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 26\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mversion\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m __version__\n\u001b[1;32m 28\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpixelfunc\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m (\n\u001b[1;32m 29\u001b[0m ma,\n\u001b[1;32m 30\u001b[0m mask_good,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 64\u001b[0m get_map_size,\n\u001b[1;32m 65\u001b[0m )\n\u001b[0;32m---> 67\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01msphtfunc\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m (\n\u001b[1;32m 68\u001b[0m anafast,\n\u001b[1;32m 69\u001b[0m map2alm,\n\u001b[1;32m 70\u001b[0m alm2map,\n\u001b[1;32m 71\u001b[0m Alm,\n\u001b[1;32m 72\u001b[0m synalm,\n\u001b[1;32m 73\u001b[0m synfast,\n\u001b[1;32m 74\u001b[0m smoothing,\n\u001b[1;32m 75\u001b[0m smoothalm,\n\u001b[1;32m 76\u001b[0m almxfl,\n\u001b[1;32m 77\u001b[0m alm2cl,\n\u001b[1;32m 78\u001b[0m pixwin,\n\u001b[1;32m 79\u001b[0m alm2map_der1,\n\u001b[1;32m 80\u001b[0m gauss_beam,\n\u001b[1;32m 81\u001b[0m bl2beam,\n\u001b[1;32m 82\u001b[0m beam2bl,\n\u001b[1;32m 83\u001b[0m check_max_nside,\n\u001b[1;32m 84\u001b[0m map2alm_spin,\n\u001b[1;32m 85\u001b[0m alm2map_spin,\n\u001b[1;32m 86\u001b[0m blm_gauss\n\u001b[1;32m 87\u001b[0m )\n\u001b[1;32m 89\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_query_disc\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m query_disc, query_strip, query_polygon, boundaries\n\u001b[1;32m 90\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_pixelfunc\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m ringinfo, pix2ring\n", + "File \u001b[0;32m~/anaconda3/envs/shapepipe/lib/python3.8/site-packages/healpy/sphtfunc.py:33\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 30\u001b[0m DATAURL \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhttps://healpy.github.io/healpy-data/\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 31\u001b[0m DATAURL_MIRROR \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhttps://github.com/healpy/healpy-data/releases/download/\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m---> 33\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m _healpy_sph_transform_lib \u001b[38;5;28;01mas\u001b[39;00m sphtlib\n\u001b[1;32m 34\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m _sphtools \u001b[38;5;28;01mas\u001b[39;00m _sphtools\n\u001b[1;32m 35\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m cookbook \u001b[38;5;28;01mas\u001b[39;00m cb\n", + "\u001b[0;31mImportError\u001b[0m: dlopen(/Users/mkilbing/anaconda3/envs/shapepipe/lib/python3.8/site-packages/healpy/_healpy_sph_transform_lib.cpython-38-darwin.so, 2): Symbol not found: _aligned_alloc\n Referenced from: /Users/mkilbing/anaconda3/envs/shapepipe/lib/python3.8/site-packages/healpy/.dylibs/libstdc++.6.dylib (which was built for Mac OS X 11.3)\n Expected in: /usr/lib/libSystem.B.dylib\n in /Users/mkilbing/anaconda3/envs/shapepipe/lib/python3.8/site-packages/healpy/.dylibs/libstdc++.6.dylib" + ] + } + ], "source": [ "import os\n", "import sys\n", @@ -45,7 +69,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -87,7 +111,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -180,19 +204,27 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3DHST-AEGIS: 207967 objects in total, 41200/207967 = 19.8% potentially in UNIONS footprint\n", + "3DHST-GOODS-N: 207967 objects in total, 38279/207967 = 18.4% potentially in UNIONS footprint\n" + ] + } + ], "source": [ "surveys = []\n", "\n", - "#use = ['Test', '3DHST-AEGIS', '3DHST-GOODS-N', 'DEEP2+3', 'AGES',\n", - "# 'HectoMap-groups', 'DECaLS-groups']\n", + "use = ['3DHST-AEGIS', '3DHST-GOODS-N']\n", "\n", - "use = ['DEEP2+3', 'AGES', 'HectoMap-groups',\n", - " 'CMASSLOWZ12-N', 'CMASSLOWZ12-S', 'eBOSSLRG14-N', 'eBOSSLRG14-S', 'NYUVAGC-N', \n", - " 'eBOSSLRGCMASS16-N', 'eBOSSLRGCMASS16-S', 'eBOSSELG16-N',\n", - " 'eBOSSQSO16-N', 'eBOSSQSO16-S']\n", + "#use = ['DEEP2+3', 'AGES', 'HectoMap-groups',\n", + "# 'CMASSLOWZ12-N', 'CMASSLOWZ12-S', 'eBOSSLRG14-N', 'eBOSSLRG14-S', 'NYUVAGC-N', \n", + "# 'eBOSSLRGCMASS16-N', 'eBOSSLRGCMASS16-S', 'eBOSSELG16-N',\n", + "# 'eBOSSQSO16-N', 'eBOSSQSO16-S']\n", "\n", "if 'Test' in use:\n", " surveys.append(Survey.from_array('Test', 'orange',\n", @@ -284,9 +316,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3DHST-GOODS-N 3DHST-GOODS-N\t\t 0/38279 = 0.00% objects not matched\n" + ] + } + ], "source": [ "fraction = {}\n", "fraction['N'] = {} # np.zeros(shape=(len(surveys), len(surveys)))\n", @@ -327,9 +367,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
3DHST-GOODS-N
3DHST-GOODS-N0.00
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "df_N = pd.DataFrame(fraction['N'])\n", "df_N.style.background_gradient(cmap='coolwarm').set_precision(2)" @@ -337,9 +400,25 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "df_S = pd.DataFrame(fraction['S'])\n", "df_S.style.background_gradient(cmap='coolwarm').set_precision(2)" @@ -362,9 +441,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "32627 image files found in input file '/Users/mkilbing/astro/repositories/github/shapepipe/auxdir/CFIS/tiles_202205/tiles_u.txt'\n", + "18754 image files found in input file '/Users/mkilbing/astro/repositories/github/shapepipe/auxdir/CFIS/tiles_202205/tiles_r.txt'\n", + "22168 image files found in input file '/Users/mkilbing/astro/repositories/github/shapepipe/auxdir/CFIS/tiles_202205/tiles_i.txt'\n", + "1080 image files found in input file '/Users/mkilbing/astro/repositories/github/shapepipe/auxdir/CFIS/tiles_202205/tiles_z.txt'\n" + ] + } + ], "source": [ "# Variables\n", "unit = 'deg'\n", @@ -377,7 +467,7 @@ "\n", "# Input tiles ID files\n", "sp_home = '{}/astro/repositories/github/shapepipe'.format(os.environ['HOME'])\n", - "tiles_dir = '{}/aux/CFIS/tiles_202011'.format(sp_home)\n", + "tiles_dir = '{}/auxdir/CFIS/tiles_202205'.format(sp_home)\n", "tiles_ID = {}\n", "for band in bands:\n", " tiles_ID[band] = '{}/tiles_{}.txt'.format(tiles_dir, band)\n", @@ -402,9 +492,28 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3DHST-AEGIS\n", + " 214.08deg_52.18deg_215.81deg_53.61deg\n", + " 6 u-band images in overlap area found\n", + " 6 r-band images in overlap area found\n", + " 6 i-band images in overlap area found\n", + " 0 z-band images in overlap area found\n", + "3DHST-GOODS-N\n", + " 188.42deg_61.59deg_190.06deg_62.89deg\n", + " 3 u-band images in overlap area found\n", + " 1 r-band images in overlap area found\n", + " 3 i-band images in overlap area found\n", + " 0 z-band images in overlap area found\n" + ] + } + ], "source": [ "import imp\n", "imp.reload(cfis)\n", @@ -437,6 +546,26 @@ " ''.format(len(images_overlap[s.name][band]), band))" ] }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'CFIS.175.305.r.fits'" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "images_overlap['3DHST-GOODS-N']['r'][0].name" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -446,9 +575,18 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3DHST-AEGIS: 6 common tiles in uri\n", + "3DHST-GOODS-N: 1 common tiles in uri\n" + ] + } + ], "source": [ "ID = {}\n", "for s in surveys:\n", @@ -494,9 +632,28 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3DHST-AEGIS\n" + ] + }, + { + "ename": "NameError", + "evalue": "name 'skm' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Input \u001b[0;32mIn [16]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 42\u001b[0m lat_2 \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m30\u001b[39m\n\u001b[1;32m 44\u001b[0m \u001b[38;5;66;03m## Projection\u001b[39;00m\n\u001b[0;32m---> 45\u001b[0m proj \u001b[38;5;241m=\u001b[39m \u001b[43mskm\u001b[49m\u001b[38;5;241m.\u001b[39mAlbers(lon_0, lat_0, lat_1, lat_2)\n\u001b[1;32m 47\u001b[0m \u001b[38;5;66;03m## Create map\u001b[39;00m\n\u001b[1;32m 48\u001b[0m \u001b[38;5;28mmap\u001b[39m \u001b[38;5;241m=\u001b[39m skm\u001b[38;5;241m.\u001b[39mMap(proj)\n", + "\u001b[0;31mNameError\u001b[0m: name 'skm' is not defined" + ] + } + ], "source": [ "# Image size\n", "size = cfis.size[image_type] / 2\n", From 0be42472502d8302499ac75d315038b9d55312ea Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Tue, 24 May 2022 09:05:04 +0200 Subject: [PATCH 003/217] plot areas --- scripts/jupyter/plot_spectro_areas.ipynb | 149 ++++++++++++++++++++--- 1 file changed, 131 insertions(+), 18 deletions(-) diff --git a/scripts/jupyter/plot_spectro_areas.ipynb b/scripts/jupyter/plot_spectro_areas.ipynb index 7d4f5aed1..e236dbba7 100644 --- a/scripts/jupyter/plot_spectro_areas.ipynb +++ b/scripts/jupyter/plot_spectro_areas.ipynb @@ -9,9 +9,51 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Collecting skymapper\n", + " Downloading skymapper-0.4.2-py2.py3-none-any.whl (41 kB)\n", + "\u001b[2K \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m41.9/41.9 KB\u001b[0m \u001b[31m9.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hCollecting healpy\n", + " Downloading healpy-1.15.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (23.7 MB)\n", + "\u001b[2K \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m23.7/23.7 MB\u001b[0m \u001b[31m37.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0mm eta \u001b[36m0:00:01\u001b[0m[36m0:00:01\u001b[0m\n", + "\u001b[?25hRequirement already satisfied: scipy in /automnt/n08data/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages (from skymapper) (1.5.4)\n", + "Requirement already satisfied: matplotlib in /automnt/n08data/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages (from skymapper) (3.3.4)\n", + "Requirement already satisfied: numpy in /automnt/n08data/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages (from skymapper) (1.19.5)\n", + "Requirement already satisfied: astropy in /automnt/n08data/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages (from healpy->skymapper) (4.1)\n", + "Requirement already satisfied: cycler>=0.10 in /automnt/n08data/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages (from matplotlib->skymapper) (0.11.0)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in /automnt/n08data/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages (from matplotlib->skymapper) (1.3.2)\n", + "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /automnt/n08data/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages (from matplotlib->skymapper) (3.0.7)\n", + "Requirement already satisfied: pillow>=6.2.0 in /automnt/n08data/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages (from matplotlib->skymapper) (8.2.0)\n", + "Requirement already satisfied: python-dateutil>=2.1 in /automnt/n08data/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages (from matplotlib->skymapper) (2.8.2)\n", + "Requirement already satisfied: six>=1.5 in /automnt/n08data/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages (from python-dateutil>=2.1->matplotlib->skymapper) (1.16.0)\n", + "Installing collected packages: healpy, skymapper\n", + "Successfully installed healpy-1.15.2 skymapper-0.4.2\n" + ] + } + ], + "source": [ + "!pip install skymapper" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Warning: surveys missing because pymangle is not installed\n" + ] + } + ], "source": [ "import os\n", "import sys\n", @@ -45,7 +87,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -87,7 +129,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -180,19 +222,29 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3DHST-GOODS-N: 207967 objects in total, 38279/207967 = 18.4% potentially in UNIONS footprint\n" + ] + } + ], "source": [ "surveys = []\n", "\n", "#use = ['Test', '3DHST-AEGIS', '3DHST-GOODS-N', 'DEEP2+3', 'AGES',\n", "# 'HectoMap-groups', 'DECaLS-groups']\n", "\n", - "use = ['DEEP2+3', 'AGES', 'HectoMap-groups',\n", - " 'CMASSLOWZ12-N', 'CMASSLOWZ12-S', 'eBOSSLRG14-N', 'eBOSSLRG14-S', 'NYUVAGC-N', \n", - " 'eBOSSLRGCMASS16-N', 'eBOSSLRGCMASS16-S', 'eBOSSELG16-N',\n", - " 'eBOSSQSO16-N', 'eBOSSQSO16-S']\n", + "#use = ['DEEP2+3', 'AGES', 'HectoMap-groups',\n", + "# 'CMASSLOWZ12-N', 'CMASSLOWZ12-S', 'eBOSSLRG14-N', 'eBOSSLRG14-S', 'NYUVAGC-N', \n", + "# 'eBOSSLRGCMASS16-N', 'eBOSSLRGCMASS16-S', 'eBOSSELG16-N',\n", + "# 'eBOSSQSO16-N', 'eBOSSQSO16-S']\n", + "\n", + "use = ['3DHST-GOODS-N']\n", "\n", "if 'Test' in use:\n", " surveys.append(Survey.from_array('Test', 'orange',\n", @@ -284,9 +336,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3DHST-GOODS-N 3DHST-GOODS-N\t\t 0/38279 = 0.00% objects not matched\n" + ] + } + ], "source": [ "fraction = {}\n", "fraction['N'] = {} # np.zeros(shape=(len(surveys), len(surveys)))\n", @@ -327,9 +387,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
3DHST-GOODS-N
3DHST-GOODS-N0.00
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "df_N = pd.DataFrame(fraction['N'])\n", "df_N.style.background_gradient(cmap='coolwarm').set_precision(2)" @@ -337,9 +420,25 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "df_S = pd.DataFrame(fraction['S'])\n", "df_S.style.background_gradient(cmap='coolwarm').set_precision(2)" @@ -362,9 +461,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "CfisError", + "evalue": "No entries in file name list", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mCfisError\u001b[0m Traceback (most recent call last)", + "Input \u001b[0;32mIn [11]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 22\u001b[0m images \u001b[38;5;241m=\u001b[39m {}\n\u001b[1;32m 23\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m band \u001b[38;5;129;01min\u001b[39;00m bands:\n\u001b[0;32m---> 24\u001b[0m images[band] \u001b[38;5;241m=\u001b[39m \u001b[43mcfis\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_image_list\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtiles_ID\u001b[49m\u001b[43m[\u001b[49m\u001b[43mband\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mband\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mimage_type\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minput_format\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mID_only\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mverbose\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/.conda/envs/shapepipe/lib/python3.8/site-packages/shapepipe/utilities/cfis.py:952\u001b[0m, in \u001b[0;36mget_image_list\u001b[0;34m(inp, band, image_type, col, input_format, verbose)\u001b[0m\n\u001b[1;32m 949\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m CfisError(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mImage type \u001b[39m\u001b[38;5;130;01m\\'\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00mimage_type\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\'\u001b[39;00m\u001b[38;5;124m not supported\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 951\u001b[0m \u001b[38;5;66;03m# Create list of objects, coordinate lists can be empty\u001b[39;00m\n\u001b[0;32m--> 952\u001b[0m image_list \u001b[38;5;241m=\u001b[39m \u001b[43mcreate_image_list\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 953\u001b[0m \u001b[43m \u001b[49m\u001b[43mfile_list\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 954\u001b[0m \u001b[43m \u001b[49m\u001b[43mra_list\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 955\u001b[0m \u001b[43m \u001b[49m\u001b[43mdec_list\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 956\u001b[0m \u001b[43m \u001b[49m\u001b[43mexp_time\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mexp_time_list\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 957\u001b[0m \u001b[43m \u001b[49m\u001b[43mvalid\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mvalid_list\u001b[49m\n\u001b[1;32m 958\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 960\u001b[0m \u001b[38;5;66;03m# Filter file list to match CFIS image pattern\u001b[39;00m\n\u001b[1;32m 961\u001b[0m img_list \u001b[38;5;241m=\u001b[39m []\n", + "File \u001b[0;32m~/.conda/envs/shapepipe/lib/python3.8/site-packages/shapepipe/utilities/cfis.py:834\u001b[0m, in \u001b[0;36mcreate_image_list\u001b[0;34m(fname, ra, dec, exp_time, valid)\u001b[0m\n\u001b[1;32m 832\u001b[0m nd \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlen\u001b[39m(dec)\n\u001b[1;32m 833\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m nf \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[0;32m--> 834\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m CfisError(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mNo entries in file name list\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 835\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (nf \u001b[38;5;241m!=\u001b[39m nr \u001b[38;5;129;01mor\u001b[39;00m nf \u001b[38;5;241m!=\u001b[39m nd) \u001b[38;5;129;01mand\u001b[39;00m nr \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m0\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m nd \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m 836\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m CfisError(\n\u001b[1;32m 837\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mLists fname, ra, dec have not same length (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mnf\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m, \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mnr\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m, \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mnd\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m)\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m 838\u001b[0m )\n", + "\u001b[0;31mCfisError\u001b[0m: No entries in file name list" + ] + } + ], "source": [ "# Variables\n", "unit = 'deg'\n", From e6d4e6aeda2021e7edfd8d227f38c9c1de132d42 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Tue, 24 May 2022 13:16:43 +0200 Subject: [PATCH 004/217] job_sp: config dir fix --- example/hst_north/config.mask | 76 + example/hst_north/config_Gie_vos.ini | 102 + example/hst_north/config_GitFeGie_symlink.ini | 144 + example/hst_north/config_GitFeGie_vos.ini | 149 + example/hst_north/config_Git_ui.ini | 89 + example/hst_north/config_MCCD.ini | 120 + example/hst_north/config_MaMa.ini | 105 + example/hst_north/config_MsPl_mccd.ini | 101 + example/hst_north/config_MsPl_psfex.ini | 101 + example/hst_north/config_Pl_mccd.ini | 85 + example/hst_north/config_Pl_psfex.ini | 85 + example/hst_north/config_Rc.ini | 69 + example/hst_north/config_exp_SpMh.ini | 84 + .../config_get_tiles_vos_headers.ini | 95 + example/hst_north/config_make_cat_mccd.ini | 79 + example/hst_north/config_make_cat_psfex.ini | 79 + .../config_merge_sep_cats_template.ini | 75 + example/hst_north/config_stats.ini | 56 + example/hst_north/config_tile.mask | 79 + example/hst_north/config_tile_MiViSmVi.ini | 181 + example/hst_north/config_tile_Ng_template.ini | 99 + example/hst_north/config_tile_PiViSmVi.ini | 188 + example/hst_north/config_tile_Sx_exp_mccd.ini | 317 + .../hst_north/config_tile_Sx_exp_psfex.ini | 248 + example/hst_north/config_tile_Uz.ini | 70 + example/hst_north/default.conv | 5 + example/hst_north/default.param | 69 + example/hst_north/default.psfex | 85 + example/hst_north/default_exp.sex | 133 + example/hst_north/default_tile.sex | 133 + example/hst_north/final_cat.param | 96 + .../mask_default/MEGAPRIME_star_i_13.8.reg | 24 + .../mask_default/Messier_catalog.npy | Bin 0 -> 4209 bytes .../mask_default/Messier_catalog_updated.npy | Bin 0 -> 4209 bytes example/hst_north/mask_default/default.ww | 40 + example/hst_north/mask_default/halo_mask.reg | 50 + example/hst_north/star_selection.setools | 104 + example/hst_north/tiles_all_order.txt | 12621 ++++++++++++++++ scripts/jupyter/plot_spectro_areas.ipynb | 325 +- scripts/sh/job_sp.bash | 9 +- .../modules/get_images_package/__init__.py | 4 +- 41 files changed, 16460 insertions(+), 114 deletions(-) create mode 100644 example/hst_north/config.mask create mode 100644 example/hst_north/config_Gie_vos.ini create mode 100644 example/hst_north/config_GitFeGie_symlink.ini create mode 100644 example/hst_north/config_GitFeGie_vos.ini create mode 100644 example/hst_north/config_Git_ui.ini create mode 100644 example/hst_north/config_MCCD.ini create mode 100644 example/hst_north/config_MaMa.ini create mode 100644 example/hst_north/config_MsPl_mccd.ini create mode 100644 example/hst_north/config_MsPl_psfex.ini create mode 100644 example/hst_north/config_Pl_mccd.ini create mode 100644 example/hst_north/config_Pl_psfex.ini create mode 100644 example/hst_north/config_Rc.ini create mode 100644 example/hst_north/config_exp_SpMh.ini create mode 100644 example/hst_north/config_get_tiles_vos_headers.ini create mode 100644 example/hst_north/config_make_cat_mccd.ini create mode 100644 example/hst_north/config_make_cat_psfex.ini create mode 100644 example/hst_north/config_merge_sep_cats_template.ini create mode 100644 example/hst_north/config_stats.ini create mode 100644 example/hst_north/config_tile.mask create mode 100644 example/hst_north/config_tile_MiViSmVi.ini create mode 100644 example/hst_north/config_tile_Ng_template.ini create mode 100644 example/hst_north/config_tile_PiViSmVi.ini create mode 100644 example/hst_north/config_tile_Sx_exp_mccd.ini create mode 100644 example/hst_north/config_tile_Sx_exp_psfex.ini create mode 100644 example/hst_north/config_tile_Uz.ini create mode 100644 example/hst_north/default.conv create mode 100644 example/hst_north/default.param create mode 100644 example/hst_north/default.psfex create mode 100644 example/hst_north/default_exp.sex create mode 100644 example/hst_north/default_tile.sex create mode 100644 example/hst_north/final_cat.param create mode 100644 example/hst_north/mask_default/MEGAPRIME_star_i_13.8.reg create mode 100644 example/hst_north/mask_default/Messier_catalog.npy create mode 100644 example/hst_north/mask_default/Messier_catalog_updated.npy create mode 100644 example/hst_north/mask_default/default.ww create mode 100644 example/hst_north/mask_default/halo_mask.reg create mode 100644 example/hst_north/star_selection.setools create mode 100644 example/hst_north/tiles_all_order.txt diff --git a/example/hst_north/config.mask b/example/hst_north/config.mask new file mode 100644 index 000000000..a1f6fbb4b --- /dev/null +++ b/example/hst_north/config.mask @@ -0,0 +1,76 @@ +# Mask module configuration file + +## Paths to executables +[PROGRAM_PATH] + +WW_PATH = ww +WW_CONFIG_FILE = $SP_CONFIG/mask_default/default.ww + +# Indicate cds client executable if no external star catalogue is available +# (e.g. no internet access on run nodes) +CDSCLIENT_PATH = findgsc2.2 + + +## Border mask +[BORDER_PARAMETERS] + +BORDER_MAKE = True + +BORDER_WIDTH = 50 +BORDER_FLAG_VALUE = 4 + + +## Halo mask +[HALO_PARAMETERS] + +HALO_MAKE = True + +HALO_MASKMODEL_PATH = $SP_CONFIG/mask_default/halo_mask.reg +HALO_MAG_LIM = 13. +HALO_SCALE_FACTOR = 0.05 +HALO_MAG_PIVOT = 13.8 +HALO_FLAG_VALUE = 2 +HALO_REG_FILE = halo.reg + + +## Diffraction spike mask +[SPIKE_PARAMETERS] + +SPIKE_MAKE = True + +SPIKE_MASKMODEL_PATH = $SP_CONFIG/mask_default/MEGAPRIME_star_i_13.8.reg +SPIKE_MAG_LIM = 18. +SPIKE_SCALE_FACTOR = 0.3 +SPIKE_MAG_PIVOT = 13.8 +SPIKE_FLAG_VALUE = 128 +SPIKE_REG_FILE = spike.reg + + +## Messier mask +[MESSIER_PARAMETERS] + +MESSIER_MAKE = True + +MESSIER_CAT_PATH = $SP_CONFIG/mask_default/Messier_catalog_updated.npy +MESSIER_SIZE_PLUS = 0. +MESSIER_FLAG_VALUE = 16 + + +# -------------------------- Missing data parameters ------------------------------ +[MD_PARAMETERS] + +MD_MAKE = False + +MD_THRESH_FLAG = 0.3 +MD_THRESH_REMOVE = 0.75 +MD_REMOVE = False + + +# ----------------------------- Other parameters ---------------------------------- +[OTHER] + +TEMP_DIRECTORY = .temp + +KEEP_REG_FILE = False +KEEP_INDIVIDUAL_MASK = False + diff --git a/example/hst_north/config_Gie_vos.ini b/example/hst_north/config_Gie_vos.ini new file mode 100644 index 000000000..745a39b7b --- /dev/null +++ b/example/hst_north/config_Gie_vos.ini @@ -0,0 +1,102 @@ +# ShapePipe configuration file for: get images + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = False + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_Gie + +# Add date and time to RUN_NAME, optional, default: False +RUN_DATETIME = True + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = get_images_runner + +# Parallel processing mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names +INPUT_DIR = $SP_RUN + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 1 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options + +# Get exposures +[GET_IMAGES_RUNNER] + +INPUT_DIR = last:find_exposures_runner + +FILE_PATTERN = exp_numbers + +FILE_EXT = .txt + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -000-000 + + +# Paths + +# Output path (optional, default is [FILE]:OUTPUT_DIR +# OUTPUT_PATH = input_images + +# Input path where original images are stored. Can be local path or vos url. +# Single string or list of strings +INPUT_PATH = vos:cfis/pitcairn, vos:cfis/weights, vos:cfis/flags +# LSB images: +#INPUT_PATH = vos:cfis/lsb_individual, vos:cfis/weights, vos:cfis/flags + +# Input file pattern including tile number as dummy template +INPUT_FILE_PATTERN = 000000, 000000.weight, 000000.flag +# LSB images +#INPUT_FILE_PATTERN = 000000s, 000000p.weight, 000000p.flag + +# Input file extensions +INPUT_FILE_EXT = .fits.fz, .fits.fz, .fits.fz + +# Input numbering scheme, python regexp +INPUT_NUMBERING = \d{6} + +# Output file pattern without number +OUTPUT_FILE_PATTERN = image-, weight-, flag- + +# Method to retrieve images, one in 'vos', 'symlink' +RETRIEVE = vos + +# If RETRIEVE=vos, number of attempts to download +# Optional, default=3 +N_TRY = 3 + +# Retrieve command options, optional +RETRIEVE_OPTIONS = --certfile=$VM_HOME/.ssl/cadcproxy.pem + diff --git a/example/hst_north/config_GitFeGie_symlink.ini b/example/hst_north/config_GitFeGie_symlink.ini new file mode 100644 index 000000000..bc39a1e02 --- /dev/null +++ b/example/hst_north/config_GitFeGie_symlink.ini @@ -0,0 +1,144 @@ +# ShapePipe configuration file for: get images + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = False + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_GitFeGie + +# Add date and time to RUN_NAME, optional, default: False +RUN_DATETIME = True + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = get_images_runner, find_exposures_runner, get_images_runner + +# Parallel processing mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names +INPUT_DIR = $SP_RUN + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 1 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options + +# Get tiles +[GET_IMAGES_RUNNER_RUN_1] + +FILE_PATTERN = tile_numbers + +FILE_EXT = .txt + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = + +# Paths + +# Input path where original images are stored. Can be local path or vos url. +# Single string or list of strings +INPUT_PATH = $HOME/astro/data/CFIS/tiles_DR2, $HOME/astro/data/CFIS/tiles_DR2 + +# Input file pattern including tile number as dummy template +INPUT_FILE_PATTERN = CFIS.000.000.r, CFIS.000.000.r.weight + +# Input file extensions +INPUT_FILE_EXT = .fits, .fits.fz + +# Input numbering scheme, python regexp +INPUT_NUMBERING = \d{3}\.\d{3} + +# Output file pattern without number +OUTPUT_FILE_PATTERN = CFIS_image-, CFIS_weight- + +# Copy/download method, one in 'vos', 'symlink' +RETRIEVE = symlink + +# Copy command options, optional +RETRIEVE_OPTIONS = -L + + +[FIND_EXPOSURES_RUNNER] + +INPUT_MODULE = get_images_runner_run_1 + +FILE_PATTERN = CFIS_image + +FILE_EXT = .fits + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -000-000 + + +# Get exposures +[GET_IMAGES_RUNNER_RUN_2] + +INPUT_MODULE = find_exposures_runner + +FILE_PATTERN = exp_numbers + +FILE_EXT = .txt + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -000-000 + + +# Paths + +# Output path (optional, default is [FILE]:OUTPUT_DIR +# OUTPUT_PATH = input_images + +# Input path where original images are stored. Can be local path or vos url. +# Single string or list of strings +INPUT_PATH = $HOME/astro/data/CFIS/pitcairn_DR2, $HOME/astro/data/CFIS/weights_DR2, $HOME/astro/data/CFIS/flags_DR2 + +# Input file pattern including tile number as dummy template +INPUT_FILE_PATTERN = 000000, 000000.weight, 000000.flag + +# Input file extensions +INPUT_FILE_EXT = .fits.fz, .fits.fz, .fits.fz + +# Input numbering scheme, python regexp +INPUT_NUMBERING = \d{6} + +# Output file pattern without number +OUTPUT_FILE_PATTERN = image-, weight-, flag- + +# Method to retrieve images, one in 'vos', 'symlink' +RETRIEVE = symlink + +# If RETRIEVE=vos, number of attempts to download +# Optional, default=3 +N_TRY = 3 + +# Retrieve command options, optional +RETRIEVE_OPTIONS = -L diff --git a/example/hst_north/config_GitFeGie_vos.ini b/example/hst_north/config_GitFeGie_vos.ini new file mode 100644 index 000000000..f5962a7ba --- /dev/null +++ b/example/hst_north/config_GitFeGie_vos.ini @@ -0,0 +1,149 @@ +# ShapePipe configuration file for: get images + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = False + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_GitFeGie + +# Add date and time to RUN_NAME, optional, default: False +RUN_DATETIME = True + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = get_images_runner, find_exposures_runner, get_images_runner + +# Parallel processing mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names +INPUT_DIR = $SP_RUN + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 1 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options + +# Get tiles +[GET_IMAGES_RUNNER_RUN_1] + +FILE_PATTERN = tile_numbers + +FILE_EXT = .txt + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = + +# Paths + +# Input path where original images are stored. Can be local path or vos url. +# Single string or list of strings +INPUT_PATH = vos:cfis/tiles_DR4, vos:cfis/tiles_DR4 + +# Input file pattern including tile number as dummy template +INPUT_FILE_PATTERN = CFIS.000.000.r, CFIS.000.000.r.weight + +# Input file extensions +INPUT_FILE_EXT = .fits, .fits.fz + +# Input numbering scheme, python regexp +INPUT_NUMBERING = \d{3}\.\d{3} + +# Output file pattern without number +OUTPUT_FILE_PATTERN = CFIS_image-, CFIS_weight- + +# Copy/download method, one in 'vos', 'symlink' +RETRIEVE = vos + +# Copy command options, optional +RETRIEVE_OPTIONS = --certfile=$VM_HOME/.ssl/cadcproxy.pem + + +[FIND_EXPOSURES_RUNNER] + +INPUT_MODULE = get_images_runner_run_1 + +FILE_PATTERN = CFIS_image + +FILE_EXT = .fits + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -000-000 + + +# Get exposures +[GET_IMAGES_RUNNER_RUN_2] + +INPUT_DIR = last:find_exposures_runner + +FILE_PATTERN = exp_numbers + +FILE_EXT = .txt + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -000-000 + + +# Paths + +# Output path (optional, default is [FILE]:OUTPUT_DIR +# OUTPUT_PATH = input_images + +# Input path where original images are stored. Can be local path or vos url. +# Single string or list of strings +INPUT_PATH = vos:cfis/pitcairn, vos:cfis/weights, vos:cfis/flags +# LSB images: +#INPUT_PATH = vos:cfis/lsb_individual, vos:cfis/weights, vos:cfis/flags + +# Input file pattern including tile number as dummy template +INPUT_FILE_PATTERN = 000000, 000000.weight, 000000.flag +# LSB images +#INPUT_FILE_PATTERN = 000000s, 000000p.weight, 000000p.flag + +# Input file extensions +INPUT_FILE_EXT = .fits.fz, .fits.fz, .fits.fz + +# Input numbering scheme, python regexp +INPUT_NUMBERING = \d{6} + +# Output file pattern without number +OUTPUT_FILE_PATTERN = image-, weight-, flag- + +# Method to retrieve images, one in 'vos', 'symlink' +RETRIEVE = vos + +# If RETRIEVE=vos, number of attempts to download +# Optional, default=3 +N_TRY = 3 + +# Retrieve command options, optional +RETRIEVE_OPTIONS = --certfile=$VM_HOME/.ssl/cadcproxy.pem + diff --git a/example/hst_north/config_Git_ui.ini b/example/hst_north/config_Git_ui.ini new file mode 100644 index 000000000..50edbb4bf --- /dev/null +++ b/example/hst_north/config_Git_ui.ini @@ -0,0 +1,89 @@ +# ShapePipe configuration file for: get images + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = False + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_Git_uiz + +# Add date and time to RUN_NAME, optional, default: False +RUN_DATETIME = True + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = get_images_runner + +# Parallel processing mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names +INPUT_DIR = $SP_RUN + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 1 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options + +# Get tiles +[GET_IMAGES_RUNNER] + +FILE_PATTERN = tile_numbers + +FILE_EXT = .txt + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = + +# Paths + +# Input path where original images are stored. Can be local path or vos url. +# Single string or list of strings +INPUT_PATH = vos:cfis/tiles_DR4, vos:cfis/tiles_DR4, vos:cfis/panstarrs/DR3/tiles, vos:cfis/panstarrs/DR3/tiles + +# Input file pattern including tile number as dummy template +INPUT_FILE_PATTERN = CFIS.000.000.u, CFIS.000.000.u.weight, PS-DR3.000.000.i, PS-DR3.000.000.i.weight + +# Input file extensions +INPUT_FILE_EXT = .fits, .fits.fz, .fits, .fits + +# Input numbering scheme, python regexp +INPUT_NUMBERING = \d{3}\.\d{3} + +# Output file pattern without number +OUTPUT_FILE_PATTERN = UNIONS_u_image-, UNIONS_u_weight-, UNIONS_i_image-, UNIONS_i_weight- + +# Copy/download method, one in 'vos', 'symlink' +RETRIEVE = vos + +# Copy command options, optional +RETRIEVE_OPTIONS = --certfile=$VM_HOME/.ssl/cadcproxy.pem + +CHECK_EXISTING_DIR = $SP_RUN/output/ diff --git a/example/hst_north/config_MCCD.ini b/example/hst_north/config_MCCD.ini new file mode 100644 index 000000000..bf5e6852e --- /dev/null +++ b/example/hst_north/config_MCCD.ini @@ -0,0 +1,120 @@ +# Configuration file for the MCCD method + +[INPUTS] +INPUT_DIR = . +PREPROCESSED_OUTPUT_DIR = ./output +OUTPUT_DIR = ./output +INPUT_REGEX_FILE_PATTERN = star_split_ratio_80-*-*.fits +INPUT_SEPARATOR = - +MIN_N_STARS = 20 +OUTLIER_STD_MAX = 100. +USE_SNR_WEIGHTS = False + +[INSTANCE] +N_COMP_LOC = 8 +D_COMP_GLOB = 8 +KSIG_LOC = 0.00 +KSIG_GLOB = 0.00 +FILTER_PATH = None +D_HYB_LOC = 2 +MIN_D_COMP_GLOB = None +RMSE_THRESH = 1.25 +CCD_STAR_THRESH = 0.15 +FP_GEOMETRY = CFIS + +[FIT] +LOC_MODEL = hybrid +PSF_SIZE = 6.2 +PSF_SIZE_TYPE = R2 +N_EIGENVECTS = 5 +N_ITER_RCA = 1 +N_ITER_GLOB = 2 +N_ITER_LOC = 2 +NB_SUBITER_S_LOC = 300 +NB_SUBITER_A_LOC = 400 +NB_SUBITER_S_GLOB = 100 +NB_SUBITER_A_GLOB = 200 + +[VALIDATION] +VAL_DATA_INPUT_DIR = . +VAL_PREPROCESSED_OUTPUT_DIR = ./output +VAL_MODEL_INPUT_DIR = ./output +VAL_OUTPUT_DIR = ./output +VAL_REGEX_FILE_PATTERN = star_split_ratio_20-*-*.fits +VAL_SEPARATOR = - +APPLY_DEGRADATION = True +MCCD_DEBUG = False +GLOBAL_POL_INTERP = False + + +# Parameter description: +# +# +# [INPUTS] +# INPUT_DIR : (Required) Must be a valid directory containing the input +# MCCD files. +# INPUT_REGEX_FILE_PATTERN : File pattern of the input files to use. It should +# follow regex (regular expression) standards. +# INPUT_SEPARATOR : Separator of the different fields in the filename, +# ie sexcat[SEP]catalog_id[SEP]CCD_id.fits +# MIN_N_STARS : Minimum number of stars to keep a CCD for the training. +# OUTLIER_STD_MAX : Maximum standard deviation used for the outlier rejection. +# Should not be too low as a hihg quantity of low quality +# stars will be rejected. ie 9 is a conservative rejection. +# USE_SNR_WEIGHTS : Boolean to determine if the SNR weighting strategy will +# be used. +# For now, it needs the SNR estimations from SExtractor. +# PREPROCESSED_OUTPUT_DIR : (Required) Must be a valid directory to write the +# preprocessed input files. +# OUTPUT_DIR : (Required) Must be a valid directory to write the output files. +# The constructed models will be saved. +# +# +# [INSTANCE] +# N_COMP_LOC : Number of components of the Local model. If LOC_MODEL is poly, +# will be the max degree D of the polynomial. +# D_COMP_GLOB : Max degree of the global polynomial model. +# KSIG_LOC : Denoising parameter of the local model. +# ie 1 is a normal denoising, 3 is a hard denoising. +# KSIG_GLOB : Denoising parameter of the global model. +# ie 1 is a normal denoising, 3 is a hard denoising. +# FILTER_PATH : Path for predefined filters. +# +# +# [FIT] +# LOC_MODEL : Defines the type of local model to use, it can be: 'rca', +# 'poly' or 'hybrid'. +# When the poly model is used, N_COMP_LOC should be used +# as the D_LOC (max degree of the poly model) +# PSF_SIZE : First guess of the PSF size. A size estimation is done anyways. +# PSF_SIZE_TYPE : Type of the size information. It can be: fwhm, R2, sigma +# N_EIGENVECTS : Number of eigenvectors to keep for the graph constraint +# construction. +# N_ITER_RCA : Number of global epochs in the algorithm. Alternation between +# global and local estimations. +# N_ITER_GLOB : Number of epochs for each global optimization. Alternations +# between A_GLOB and S_GLOB. +# N_ITER_LOC : Number of epochs for each local optimization. Alternations +# between the different A_LOC and S_LOC. +# NB_SUBITER_S_LOC : Iterations for the optimization algorithm over S_LOC. +# NB_SUBITER_A_LOC : Iterations for the optimization algorithm over A_LOC. +# NB_SUBITER_S_GLOB : Iterations for the optimization algorithm over S_GLOB. +# NB_SUBITER_A_GLOB : Iterations for the optimization algorithm over A_GLOB. +# +# +# [VALIDATION] +# MODEL_INPUT_DIR : (Required) Must be a valid directory which contains the +# saved trained models. +# VAL_DATA_INPUT_DIR : (Required) Must be a valid directory which contains the +# validation input data (test dataset). +# VAL_REGEX_FILE_PATTERN : Same as INPUT_REGEX_FILE_PATTERN but for validation. +# VAL_SEPARATOR : Same as INPUT_SEPARATOR but for validation. +# VAL_OUTPUT_DIR : (Required) Must be a valid directory where to save the +# validation outputs, test PSFs and interpolated PSFs. +# APPLY_DEGRADATION : Whether the PSF models should be degraded +# (sampling/shifts/flux) to match stars; use True if you +# plan on making pixel-based comparisons (residuals etc.). +# MCCD_DEBUG : Debug mode. Returns the local and global contributions. +# GLOBAL_POL_INTERP : Uses polynomial interpolation for the global model +# instead of RBF kernel interpolation. +# diff --git a/example/hst_north/config_MaMa.ini b/example/hst_north/config_MaMa.ini new file mode 100644 index 000000000..102a9aa5e --- /dev/null +++ b/example/hst_north/config_MaMa.ini @@ -0,0 +1,105 @@ +# ShapePipe configuration file for masking of tiles and exposures + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = True + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_MaMa + +# Add date and time to RUN_NAME, optional, default: False +; RUN_DATETIME = False + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = mask_runner, mask_runner + +# Parallel processing mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names +INPUT_DIR = . + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 4 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options + +### Mask tiles +[MASK_RUNNER_RUN_1] + +# Input directory, containing input files, single string or list of names +INPUT_DIR = last:get_images_runner_run_1, last:uncompress_fits_runner + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -000-000 + +# Input file pattern(s), list of strings with length matching number of expected input file types +# Cannot contain wild cards +FILE_PATTERN = CFIS_image, CFIS_weight + +# FILE_EXT (optional) list of string extensions to identify input files +FILE_EXT = .fits, .fits + +# Path of mask config file +MASK_CONFIG_PATH = $SP_CONFIG/config_tile.mask + +# External mask file flag, use if True, otherwise ignore +USE_EXT_FLAG = False + +# External star catalogue flag, use external cat if True, +# obtain from online catalogue if False +USE_EXT_STAR = False + +# File name suffix for the output flag files (optional) +PREFIX = pipeline + +### Mask exposures +[MASK_RUNNER_RUN_2] + +# Parent module +INPUT_DIR = last:split_exp_runner + +# Update numbering convention, accounting for HDU number of +# single-exposure single-HDU files +NUMBERING_SCHEME = -0000000-0 + +# Path of mask config file +MASK_CONFIG_PATH = $SP_CONFIG/config.mask + +# External mask file flag, use if True, otherwise ignore +USE_EXT_FLAG = True + +# External star catalogue flag, use external cat if True, +# obtain from online catalogue if False +USE_EXT_STAR = False + +# File name suffix for the output flag files (optional) +PREFIX = pipeline diff --git a/example/hst_north/config_MsPl_mccd.ini b/example/hst_north/config_MsPl_mccd.ini new file mode 100644 index 000000000..495062878 --- /dev/null +++ b/example/hst_north/config_MsPl_mccd.ini @@ -0,0 +1,101 @@ +# ShapePipe configuration file for post-processing. +# merge star cat and PSF plots. + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = True + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_MsPl + +# Add date and time to RUN_NAME, optional, default: False +RUN_DATETIME = False + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = merge_starcat_runner, mccd_plots_runner + +# Parallel processing mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names +INPUT_DIR = $SP_RUN/psf_validation_ind + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 4 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options +[MERGE_STARCAT_RUNNER] + +INPUT_DIR = psf_validation_ind + +PSF_MODEL = mccd + +NUMBERING_SCHEME = -0000000 + +# Input file pattern(s), list of strings with length matching number of expected input file types +# Cannot contain wild cards +FILE_PATTERN = validation_psf + +# FILE_EXT (optional) list of string extensions to identify input files +FILE_EXT = .fits + + +[MCCD_PLOTS_RUNNER] + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -0000000 + +FILE_PATTERN = full_starcat +FILE_EXT = .fits + +PLOT_MEANSHAPES = True +X_GRID = 5 +Y_GRID = 10 + +# Optional: max values for elliptity and residual ellipticities +MAX_E = 0.05 +MAX_DE = 0.005 + +PSF = mccd +PLOT_HISTOGRAMS = True +REMOVE_OUTLIERS = False + +# X_GRID, Y_GRID: correspond to the number of bins in each direction of each +# CCD from the focal plane. Ex: each CCD will be binned in 5x10 regular grids. +# +# REMOVE_OUTLIERS: Remove validated stars that are outliers in terms of shape +# before drawing the plots. + +PLOT_RHO_STATS = True +RHO_STATS_STYLE = HSC + +RHO_STATS_YLIM_L = 1e-10, 4e-5 +RHO_STATS_YLIM_R = 1e-8, 4e-5 diff --git a/example/hst_north/config_MsPl_psfex.ini b/example/hst_north/config_MsPl_psfex.ini new file mode 100644 index 000000000..7fcb3ba20 --- /dev/null +++ b/example/hst_north/config_MsPl_psfex.ini @@ -0,0 +1,101 @@ +# ShapePipe configuration file for post-processing. +# merge star cat and PSF plots. + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = True + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_MsPl + +# Add date and time to RUN_NAME, optional, default: False +RUN_DATETIME = False + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = merge_starcat_runner, mccd_plots_runner + +# Parallel processing mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names +INPUT_DIR = $SP_RUN/psf_validation_ind + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 4 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options +[MERGE_STARCAT_RUNNER] + +INPUT_DIR = psf_validation_ind + +PSF_MODEL = psfex + +NUMBERING_SCHEME = -0000000-0 + +# Input file pattern(s), list of strings with length matching number of expected input file types +# Cannot contain wild cards +FILE_PATTERN = validation_psf + +# FILE_EXT (optional) list of string extensions to identify input files +FILE_EXT = .fits + + +[MCCD_PLOTS_RUNNER] + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -0000000 + +FILE_PATTERN = full_starcat +FILE_EXT = .fits + +PLOT_MEANSHAPES = True +X_GRID = 5 +Y_GRID = 10 + +# Optional: max values for elliptity and residual ellipticities +MAX_E = 0.05 +MAX_DE = 0.005 + +PSF = psfex +PLOT_HISTOGRAMS = True +REMOVE_OUTLIERS = False + +# X_GRID, Y_GRID: correspond to the number of bins in each direction of each +# CCD from the focal plane. Ex: each CCD will be binned in 5x10 regular grids. +# +# REMOVE_OUTLIERS: Remove validated stars that are outliers in terms of shape +# before drawing the plots. + +PLOT_RHO_STATS = True +RHO_STATS_STYLE = HSC + +RHO_STATS_YLIM_L = 1e-10, 4e-5 +RHO_STATS_YLIM_R = 1e-8, 4e-5 diff --git a/example/hst_north/config_Pl_mccd.ini b/example/hst_north/config_Pl_mccd.ini new file mode 100644 index 000000000..2739b8cde --- /dev/null +++ b/example/hst_north/config_Pl_mccd.ini @@ -0,0 +1,85 @@ +# ShapePipe configuration file for post-processing. +# merge star cat and PSF plots. + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = True + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_Pl + +# Add date and time to RUN_NAME, optional, default: False +RUN_DATETIME = True + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = mccd_plots_runner + +# Parallel processing mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names +INPUT_DIR = . + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 4 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options +[MCCD_PLOTS_RUNNER] + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -0000000 + +FILE_PATTERN = full_starcat +FILE_EXT = .fits + +PSF = mccd +PLOT_MEANSHAPES = True +X_GRID = 5 +Y_GRID = 10 + +# Optional: max values for elliptity and residual ellipticities +MAX_E = 0.05 +MAX_DE = 0.005 + +PLOT_HISTOGRAMS = True +REMOVE_OUTLIERS = False + +# X_GRID, Y_GRID: correspond to the number of bins in each direction of each +# CCD from the focal plane. Ex: each CCD will be binned in 5x10 regular grids. +# +# REMOVE_OUTLIERS: Remove validated stars that are outliers in terms of shape +# before drawing the plots. + +PLOT_RHO_STATS = True +RHO_STATS_STYLE = HSC + +RHO_STATS_YLIM_L = 1e-10, 4e-5 +RHO_STATS_YLIM_R = 1e-8, 4e-5 diff --git a/example/hst_north/config_Pl_psfex.ini b/example/hst_north/config_Pl_psfex.ini new file mode 100644 index 000000000..bf1a062c1 --- /dev/null +++ b/example/hst_north/config_Pl_psfex.ini @@ -0,0 +1,85 @@ +# ShapePipe configuration file for post-processing. +# merge star cat and PSF plots. + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = True + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_Pl + +# Add date and time to RUN_NAME, optional, default: False +RUN_DATETIME = True + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = mccd_plots_runner + +# Parallel processing mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names +INPUT_DIR = . + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 4 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options +[MCCD_PLOTS_RUNNER] + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -0000000 + +FILE_PATTERN = full_starcat +FILE_EXT = .fits + +PSF = psfex +PLOT_MEANSHAPES = True +X_GRID = 5 +Y_GRID = 10 + +# Optional: max values for elliptity and residual ellipticities +MAX_E = 0.05 +MAX_DE = 0.005 + +PLOT_HISTOGRAMS = True +REMOVE_OUTLIERS = False + +# X_GRID, Y_GRID: correspond to the number of bins in each direction of each +# CCD from the focal plane. Ex: each CCD will be binned in 5x10 regular grids. +# +# REMOVE_OUTLIERS: Remove validated stars that are outliers in terms of shape +# before drawing the plots. + +PLOT_RHO_STATS = True +RHO_STATS_STYLE = HSC + +RHO_STATS_YLIM_L = 1e-10, 4e-5 +RHO_STATS_YLIM_R = 1e-8, 4e-5 diff --git a/example/hst_north/config_Rc.ini b/example/hst_north/config_Rc.ini new file mode 100644 index 000000000..024641a04 --- /dev/null +++ b/example/hst_north/config_Rc.ini @@ -0,0 +1,69 @@ +# ShapePipe configuration file for: create random catalogue + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = True + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_Rc + +# Add date and time to RUN_NAME, optional, default: False +RUN_DATETIME = False + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = random_cat_runner + +# Parallel processing mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names +INPUT_DIR = . + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 24 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options +[RANDOM_CAT_RUNNER] + +#INPUT_DIR = last:get_images_runner, last:mask_runner +INPUT_DIR = last:get_images_runner, $SP_RUN/output/run_sp_combined_flag:mask_runner + +FILE_PATTERN = CFIS_image, pipeline_flag + +NUMBERING_SCHEME = 000-000 + +# Number of random objects +N_RANDOM = 50000 + +# N_RANDOM is per square degrees if True +DENSITY = True + +TILE_LIST = $SP_CONFIG/tiles_all_order.txt diff --git a/example/hst_north/config_exp_SpMh.ini b/example/hst_north/config_exp_SpMh.ini new file mode 100644 index 000000000..c5057ac1c --- /dev/null +++ b/example/hst_north/config_exp_SpMh.ini @@ -0,0 +1,84 @@ +# ShapePipe configuration file for single-exposures, +# split images, merge headers + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = True + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_exp_SpMh + +# Add date and time to RUN_NAME, optional, default: True +; RUN_DATETIME = False + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = split_exp_runner, merge_headers_runner + +# Run mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names with length matching FILE_PATTERN +INPUT_DIR = . + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 4 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options + +[SPLIT_EXP_RUNNER] + +INPUT_DIR = last:get_images_runner_run_2 + +# Matches compressed single-exposure files +FILE_EXT = .fitsfz, .fitsfz, .fitsfz + +NUMBERING_SCHEME = -0000000 + +# OUTPUT_SUFFIX, actually file name prefixes. +# Expected keyword "flag" will lead to a behavior where the data are save as int. +# The code also expects the image data to use the "image" suffix +# (default value in the pipeline). +OUTPUT_SUFFIX = image, weight, flag + +# Number of HDUs/CCDs of mosaic +N_HDU = 40 + + +[MERGE_HEADERS_RUNNER] + +FILE_PATTERN = headers + +FILE_EXT = .npy + +# Single-exposure numbering scheme +NUMBERING_SCHEME = -0000000 + +OUTPUT_PATH = $SP_RUN/output diff --git a/example/hst_north/config_get_tiles_vos_headers.ini b/example/hst_north/config_get_tiles_vos_headers.ini new file mode 100644 index 000000000..e28347ebf --- /dev/null +++ b/example/hst_north/config_get_tiles_vos_headers.ini @@ -0,0 +1,95 @@ +# ShapePipe configuration file for: get images + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = False + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_Git + +# Add date and time to RUN_NAME, optional, default: False +RUN_DATETIME = True + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = get_images_runner + +# Parallel processing mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names +INPUT_DIR = $SP_RUN + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 1 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options +[GET_IMAGES_RUNNER] + +FILE_PATTERN = tile_numbers + +FILE_EXT = .txt + + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = + + +# Paths + +# Output path (optional, default is [FILE]:OUTPUT_DIR +# OUTPUT_PATH = input_images + +# Input path where original images are stored. Can be local path or vos url. +# Single string or list of strings +INPUT_PATH = vos:cfis/tiles_DR3 + +# Input file pattern including tile number as dummy template +INPUT_FILE_PATTERN = CFIS.000.000.r + +# Input file extensions +INPUT_FILE_EXT = .fits + +# Input numbering scheme, python regexp +INPUT_NUMBERING = \d{3}\.\d{3} + +# Output file pattern without number +OUTPUT_FILE_PATTERN = CFIS_image- +#, CFIS_weight- + +# Copy/download method, one in 'vos', 'symlink' +RETRIEVE = vos + +# If RETRIEVE=vos, number of attempts to download +# Optional, default=3 +N_TRY = 3 + +# Copy command options, optional +RETRIEVE_OPTIONS = --head diff --git a/example/hst_north/config_make_cat_mccd.ini b/example/hst_north/config_make_cat_mccd.ini new file mode 100644 index 000000000..eb3900fdf --- /dev/null +++ b/example/hst_north/config_make_cat_mccd.ini @@ -0,0 +1,79 @@ +# ShapePipe post-run configuration file: create final catalogs + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = True + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_Mc + +# Add date and time to RUN_NAME, optional, default: True +; RUN_DATETIME = False + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = make_cat_runner + +# Parallel processing mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names with length matching FILE_PATTERN +INPUT_DIR = last:sextractor_runner_run_1, last:spread_model_runner, last:mccd_interp_runner, last:merge_sep_cats_runner + +# Output directory +OUTPUT_DIR = ./output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 8 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options + +[MAKE_CAT_RUNNER] + +# Input file pattern(s), list of strings with length matching number of expected input file types +# Cannot contain wild cards +FILE_PATTERN = sexcat, sexcat_sm, galaxy_psf, ngmix +#, galsim + +# FILE_EXT (optional) list of string extensions to identify input files +FILE_EXT = .fits, .fits, .sqlite, .fits +#, .fits + +# Numbering convention, string that exemplifies a numbering pattern. +# Matches input single exposures (with 'p' removed) +# Needs to be given in this section, will be updated in module +# sections below +NUMBERING_SCHEME = -000-000 + +SM_DO_CLASSIFICATION = True +SM_STAR_STRESH = 0.003 +SM_GAL_THRESH = 0.01 + +TILE_LIST = $SP_CONFIG/tiles_all_order.txt + +SHAPE_MEASUREMENT_TYPE = ngmix +#, galsim diff --git a/example/hst_north/config_make_cat_psfex.ini b/example/hst_north/config_make_cat_psfex.ini new file mode 100644 index 000000000..a3f4b763e --- /dev/null +++ b/example/hst_north/config_make_cat_psfex.ini @@ -0,0 +1,79 @@ +# ShapePipe post-run configuration file: create final catalogs + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = True + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_Mc + +# Add date and time to RUN_NAME, optional, default: True +; RUN_DATETIME = False + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = make_cat_runner + +# Parallel processing mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names with length matching FILE_PATTERN +INPUT_DIR = . + +# Output directory +OUTPUT_DIR = ./output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 8 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options + +[MAKE_CAT_RUNNER] + +# Input directory, containing input files, single string or list of names with length matching FILE_PATTERN +INPUT_DIR = last:sextractor_runner_run_1, last:spread_model_runner, last:psfex_interp_runner, last:merge_sep_cats_runner + +# Input file pattern(s), list of strings with length matching number of expected input file types +# Cannot contain wild cards +FILE_PATTERN = sexcat, sexcat_sm, galaxy_psf, ngmix + +# FILE_EXT (optional) list of string extensions to identify input files +FILE_EXT = .fits, .fits, .sqlite, .fits + +# Numbering convention, string that exemplifies a numbering pattern. +# Matches input single exposures (with 'p' removed) +# Needs to be given in this section, will be updated in module +# sections below +NUMBERING_SCHEME = -000-000 + +SM_DO_CLASSIFICATION = True +SM_STAR_THRESH = 0.003 +SM_GAL_THRESH = 0.01 + +TILE_LIST = $SP_CONFIG/tiles_all_order.txt + +SHAPE_MEASUREMENT_TYPE = ngmix diff --git a/example/hst_north/config_merge_sep_cats_template.ini b/example/hst_north/config_merge_sep_cats_template.ini new file mode 100644 index 000000000..e14e5fe74 --- /dev/null +++ b/example/hst_north/config_merge_sep_cats_template.ini @@ -0,0 +1,75 @@ +# ShapePipe post-run configuration file: merge separated catalogues + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = True + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_Ms + +# Add date and time to RUN_NAME, optional, default: True +; RUN_DATETIME = False + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = merge_sep_cats_runner + +# Parallel processing mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names with length matching FILE_PATTERN +INPUT_DIR = ./output/run_sp_tile_ngmix_Ng1u/ngmix_runner/output +#, ./output/run_sp_tile_ngmix_Ng1u/galsim_shapes_v2_runner/output + +# Output directory +OUTPUT_DIR = ./output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 8 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options + +[MERGE_SEP_CATS_RUNNER] + +# Input file pattern(s), list of strings with length matching number of expected input file types +# Cannot contain wild cards +FILE_PATTERN = ngmix +#, galsim + +# FILE_EXT (optional) list of string extensions to identify input files +FILE_EXT = .fits +#, .fits + +# Numbering convention, string that exemplifies a numbering pattern. +NUMBERING_SCHEME = -000-000 + +# WARNING (optional, default is 'error'). Use 'always'/'ignore' to +# display/ignore warnings, and not raise error +WARNING = always + +# Maximum number of separated catalogues per input +N_SPLIT_MAX = X diff --git a/example/hst_north/config_stats.ini b/example/hst_north/config_stats.ini new file mode 100644 index 000000000..e537cbd74 --- /dev/null +++ b/example/hst_north/config_stats.ini @@ -0,0 +1,56 @@ +[ALL] +nbins = 50 + +[0] +# Nb objects full cat +fname = 0_nb_obj +xlabel = number / CCD +xmin = 0 +xmax = 3000 +title = all objects + +[1] +# Nb objects not masked +fname = 1_nb_nonmasked +xlabel = number / CCD +xmax = 210 +title = non-masked objects + +[2] +# Nb stars +fname = 2_nb_stars +xlabel = number / CCD +xmax = 210 +title = stars + +[3] +# stars/deg^2 +plot = False + +[4] +# Mean star fwhm selected (arcsec) +fname = 3_mean_fhwm_star +xlabel = FHWM mean (arcsec) +xmax = 1.1 +title = stars + +[5] +# Standard deviation fwhm star selected (arcsec) +fname = 4_std_fhwm_star +xlabel = FHWM standard deviation (arcsec) +title = stars + +[6] +# Mode fwhm used (arcsec) +fname = 5_mode_fhwm_star +xlabel = FHWM mode (arcsec) +xmax = 1.1 +title = stars + +[7] +# Min fwhm cut (arcesec) +plot = False + +[8] +# Max fwhm cut (arcsec) +plot = False diff --git a/example/hst_north/config_tile.mask b/example/hst_north/config_tile.mask new file mode 100644 index 000000000..d3eed92fb --- /dev/null +++ b/example/hst_north/config_tile.mask @@ -0,0 +1,79 @@ +# ----------------------------- Path ---------------------------------- +[PROGRAM_PATH] + +WW_PATH = ww +WW_CONFIG_FILE = $SP_CONFIG/mask_default/default.ww + +# Indicate cds client executable if no external star catalogue is available +# (e.g. no internet access on run nodes) +CDSCLIENT_PATH = findgsc2.2 + +# ----------------------------- Border parameters ---------------------------------- +[BORDER_PARAMETERS] + +BORDER_MAKE = False + +BORDER_WIDTH = 0 +BORDER_FLAG_VALUE = 4 + + +# ----------------------------- Halo parameters ---------------------------------- +[HALO_PARAMETERS] + +HALO_MAKE = True + +HALO_MASKMODEL_PATH = $SP_CONFIG/mask_default/halo_mask.reg +HALO_MAG_LIM = 13. +HALO_SCALE_FACTOR = 0.05 +HALO_MAG_PIVOT = 13.8 +HALO_FLAG_VALUE = 2 +HALO_REG_FILE = halo.reg + + +# ------------------------- Diffraction pike parameters ------------------------------ +[SPIKE_PARAMETERS] + +SPIKE_MAKE = True + +SPIKE_MASKMODEL_PATH = $SP_CONFIG/mask_default/MEGAPRIME_star_i_13.8.reg +SPIKE_MAG_LIM = 18. +SPIKE_SCALE_FACTOR = 0.3 +SPIKE_MAG_PIVOT = 13.8 +SPIKE_FLAG_VALUE = 128 +SPIKE_REG_FILE = spike.reg + + +# ---------------------------- Messier parameters --------------------------------- +[MESSIER_PARAMETERS] + +MESSIER_MAKE = True + +MESSIER_CAT_PATH = $SP_CONFIG/mask_default/Messier_catalog_updated.npy +MESSIER_PIXEL_SCALE = 0.187 +MESSIER_SIZE_PLUS = 0. +MESSIER_FLAG_VALUE = 16 + + +# -------------------------------- External flag ---------------------------------- +[EXTERNAL_FLAG] + +EF_MAKE = False + + +# -------------------------- Missing data parameters ------------------------------ +[MD_PARAMETERS] + +MD_MAKE = False + +MD_THRESH_FLAG = 0.3 +MD_THRESH_REMOVE = 0.75 +MD_REMOVE = False + + +# ----------------------------- Other parameters ---------------------------------- +[OTHER] + +KEEP_REG_FILE = False +KEEP_INDIVIDUAL_MASK = False + +TEMP_DIRECTORY = .temp_tiles diff --git a/example/hst_north/config_tile_MiViSmVi.ini b/example/hst_north/config_tile_MiViSmVi.ini new file mode 100644 index 000000000..ddddbebcf --- /dev/null +++ b/example/hst_north/config_tile_MiViSmVi.ini @@ -0,0 +1,181 @@ +# ShapePipe configuration file for tiles, from detection up to shape measurement. +# MCCD PSF model. + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = True + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_MiViSmVi + +# Add date and time to RUN_NAME, optional, default: False +; RUN_DATETIME = False + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = mccd_interp_runner, + vignetmaker_runner, spread_model_runner, + vignetmaker_runner + +# Parallel processing mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names +INPUT_DIR = . + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 12 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options + +[MCCD_INTERP_RUNNER] + +INPUT_DIR = last:sextractor_runner_run_1 + +FILE_PATTERN = sexcat + +FILE_EXT = .fits + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -000-000 + +# Run mode for psfex interpolation: +# CLASSIC: 'classical' run, interpolate to object positions +# MULTI-EPOCH: interpolate for multi-epoch images +# VALIDATION: validation for single-epoch images +MODE = MULTI-EPOCH + +# Column names of position parameters +POSITION_PARAMS = XWIN_WORLD,YWIN_WORLD + +# If True, measure and store ellipticity of the PSF +GET_SHAPES = True + +PSF_MODEL_DIR = mccd_fit_val_runner + +PSF_MODEL_PATTERN = fitted_model + +PSF_MODEL_SEPARATOR = - + +# Multi-epoch mode: Path to file with single-exposure WCS header information +ME_LOG_WCS = $SP_RUN/output/log_exp_headers.sqlite + + +[VIGNETMAKER_RUNNER_RUN_1] + +# Create vignets for tiles weights + +INPUT_DIR = last:sextractor_runner_run_1, last:uncompress_fits_runner + +FILE_PATTERN = sexcat, CFIS_weight + +FILE_EXT = .fits, .fits + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -000-000 + +MASKING = False +MASK_VALUE = 0 + +# Run mode for psfex interpolation: +# CLASSIC: 'classical' run, interpolate to object positions +# MULTI-EPOCH: interpolate for multi-epoch images +# VALIDATION: validation for single-epoch images +MODE = CLASSIC + +# Coordinate frame type, one in PIX (pixel frame), SPHE (spherical coordinates) +COORD = PIX +POSITION_PARAMS = XWIN_IMAGE,YWIN_IMAGE + +# Vignet size in pixels +STAMP_SIZE = 51 + +# Output file name prefix, file name is _vignet.fits +PREFIX = weight + + +[SPREAD_MODEL_RUNNER] + +INPUT_DIR = last:sextractor_runner_run_1, last:mccd_interp_runner, last:vignetmaker_runner_run_1 + +FILE_PATTERN = sexcat, galaxy_psf, weight_vignet + +FILE_EXT = .fits, .sqlite, .fits + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -000-000 + +# Pixel scale in arcsec +PIXEL_SCALE = 0.186 + +# Output mode: +# new: create a new catalog with: [number, mag, sm, sm_err] +# add: create a copy of the input SExtractor with the column sm and sm_err +OUTPUT_MODE = new + + +[VIGNETMAKER_RUNNER_RUN_2] + +# Create multi-epoch vignets for tiles corresponding to +# positions on single-exposures + +INPUT_DIR = last:sextractor_runner_run_1 + +FILE_PATTERN = sexcat + +FILE_EXT = .fits + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -000-000 + +MASKING = False +MASK_VALUE = 0 + +# Run mode for psfex interpolation: +# CLASSIC: 'classical' run, interpolate to object positions +# MULTI-EPOCH: interpolate for multi-epoch images +# VALIDATION: validation for single-epoch images +MODE = MULTI-EPOCH + +# Coordinate frame type, one in PIX (pixel frame), SPHE (spherical coordinates) +COORD = SPHE +POSITION_PARAMS = XWIN_WORLD,YWIN_WORLD + +# Vignet size in pixels +STAMP_SIZE = 51 + +# Output file name prefix, file name is vignet.fits +PREFIX = + +# Additional parameters for path and file pattern corresponding to single-exposure +# run outputs +ME_IMAGE_DIR = split_exp_runner, split_exp_runner, split_exp_runner, sextractor_runner_run_2 +ME_IMAGE_PATTERN = flag, image, weight, sexcat_background +ME_LOG_WCS = $SP_RUN/output/log_exp_headers.sqlite diff --git a/example/hst_north/config_tile_Ng_template.ini b/example/hst_north/config_tile_Ng_template.ini new file mode 100644 index 000000000..f9d733d71 --- /dev/null +++ b/example/hst_north/config_tile_Ng_template.ini @@ -0,0 +1,99 @@ +# ShapePipe configuration file for tiles: ngmix + KSB + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = True + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_tile_ngmix_NgXu + +# Add date and time to RUN_NAME, optional, default: False +RUN_DATETIME = False + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = ngmix_runner + +# Parallel processing mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names +INPUT_DIR = . + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 1 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options + +# Model-fitting shapes with ngmix +[NGMIX_RUNNER] + +INPUT_DIR = last:sextractor_runner_run_1,last:X_interp_runner,last:vignetmaker_runner_run_2 + +FILE_PATTERN = sexcat, image_vignet, background_vignet, galaxy_psf, weight_vignet, flag_vignet + +FILE_EXT = .fits, .sqlite, .sqlite, .sqlite, .sqlite, .sqlite + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -000-000 + +# Multi-epoch mode: Path to file with single-exposure WCS header information +LOG_WCS = $SP_RUN/output/log_exp_headers.sqlite + +# Magnitude zero-point +MAG_ZP = 30.0 + +# Pixel scale in arcsec +PIXEL_SCALE = 0.186 + +ID_OBJ_MIN = X +ID_OBJ_MAX = X + + +# Moment-based (KSB) shapes with galsim +[GALSIM_SHAPES_V2_RUNNER] + +INPUT_DIR = last:sextractor_runner_run_2, last:vignetmaker_runner_run_1, last:X_interp_runner,last:vignetmaker_runner_run_2 + +FILE_PATTERN = sexcat, weight_vignet, image_vignet, background_vignet, galaxy_psf, weight_vignet, flag_vignet + +FILE_EXT = .fits, .fits, .sqlite, .sqlite, .sqlite, .sqlite, .sqlite + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -000-000 + +# Multi-epoch mode: Path to file with single-exposure WCS header information +LOG_WCS = $SP_RUN/output/log_exp_headers.sqlite + +# Magnitude zero-point +MAG_ZP = 30.0 + +ID_OBJ_MIN = X +ID_OBJ_MAX = X diff --git a/example/hst_north/config_tile_PiViSmVi.ini b/example/hst_north/config_tile_PiViSmVi.ini new file mode 100644 index 000000000..5a7329542 --- /dev/null +++ b/example/hst_north/config_tile_PiViSmVi.ini @@ -0,0 +1,188 @@ +# ShapePipe configuration file for tile, from detection up to shape measurement. +# PSFEx PSF model. + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = True + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_tile_PsViSmVi + +# Add date and time to RUN_NAME, optional, default: False +; RUN_DATETIME = False + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +#MODULE = psfex_interp_runner, + +MODULE = psfex_interp_runner, vignetmaker_runner, spread_model_runner, + vignetmaker_runner + +# Parallel processing mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names +INPUT_DIR = . + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 16 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options + +[PSFEX_INTERP_RUNNER] + +INPUT_DIR = last:sextractor_runner_run_1 + +FILE_PATTERN = sexcat + +FILE_EXT = .fits + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -000-000 + +# Run mode for psfex interpolation: +# CLASSIC: 'classical' run, interpolate to object positions +# MULTI-EPOCH: interpolate for multi-epoch images +# VALIDATION: validation for single-epoch images +MODE = MULTI-EPOCH + +# Column names of position parameters +POSITION_PARAMS = XWIN_WORLD,YWIN_WORLD + +# If True, measure and store ellipticity of the PSF +GET_SHAPES = True + +# Number of stars threshold +STAR_THRESH = 20 + +# chi^2 threshold +CHI2_THRESH = 2 + +# Multi-epoch mode parameters + +ME_DOT_PSF_DIR = psfex_runner + +# Input psf file pattern +ME_DOT_PSF_PATTERN = star_split_ratio_80 + +# Multi-epoch mode: Path to file with single-exposure WCS header information +ME_LOG_WCS = $SP_RUN/output/log_exp_headers.sqlite + + +# Create vignets for tiles weights +[VIGNETMAKER_RUNNER_RUN_1] + +INPUT_DIR = last:sextractor_runner_run_1, last:uncompress_fits_runner + +FILE_PATTERN = sexcat, CFIS_weight + +FILE_EXT = .fits, .fits + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -000-000 + +MASKING = False +MASK_VALUE = 0 + +# Run mode for psfex interpolation: +# CLASSIC: 'classical' run, interpolate to object positions +# MULTI-EPOCH: interpolate for multi-epoch images +# VALIDATION: validation for single-epoch images +MODE = CLASSIC + +# Coordinate frame type, one in PIX (pixel frame), SPHE (spherical coordinates) +COORD = PIX +POSITION_PARAMS = XWIN_IMAGE,YWIN_IMAGE + +# Vignet size in pixels +STAMP_SIZE = 51 + +# Output file name prefix, file name is _vignet.fits +PREFIX = weight + + +[SPREAD_MODEL_RUNNER] + +INPUT_DIR = last:sextractor_runner_run_1, last:psfex_interp_runner, last:vignetmaker_runner_run_1 + +FILE_PATTERN = sexcat, galaxy_psf, weight_vignet + +FILE_EXT = .fits, .sqlite, .fits + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -000-000 + +# Pixel scale in arcsec +PIXEL_SCALE = 0.186 + +# Output mode: +# new: create a new catalog with: [number, mag, sm, sm_err] +# add: create a copy of the input SExtractor with the column sm and sm_err +OUTPUT_MODE = new + + +[VIGNETMAKER_RUNNER_RUN_2] + +# Create multi-epoch vignets for tiles corresponding to +# positions on single-exposures + +INPUT_DIR = last:sextractor_runner_run_1 + +FILE_PATTERN = sexcat + +FILE_EXT = .fits + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -000-000 + +MASKING = False +MASK_VALUE = 0 + +# Run mode for psfex interpolation: +# CLASSIC: 'classical' run, interpolate to object positions +# MULTI-EPOCH: interpolate for multi-epoch images +# VALIDATION: validation for single-epoch images +MODE = MULTI-EPOCH + +# Coordinate frame type, one in PIX (pixel frame), SPHE (spherical coordinates) +COORD = SPHE +POSITION_PARAMS = XWIN_WORLD,YWIN_WORLD + +# Vignet size in pixels +STAMP_SIZE = 51 + +# Output file name prefix, file name is vignet.fits +PREFIX = + +# Additional parameters for path and file pattern corresponding to single-exposure +# run outputs +ME_IMAGE_DIR = split_exp_runner, split_exp_runner, split_exp_runner, sextractor_runner_run_2 +ME_IMAGE_PATTERN = flag, image, weight, background +ME_LOG_WCS = $SP_RUN/output/log_exp_headers.sqlite diff --git a/example/hst_north/config_tile_Sx_exp_mccd.ini b/example/hst_north/config_tile_Sx_exp_mccd.ini new file mode 100644 index 000000000..6c287fcbc --- /dev/null +++ b/example/hst_north/config_tile_Sx_exp_mccd.ini @@ -0,0 +1,317 @@ +# ShapePipe configuration file for single-exposures, MCCD PSF model. +# Process exposures after masking, from star detection to PSF model. + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = True + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_tile_Sx_exp_SxSePsf + +# Add date and time to RUN_NAME, optional, default: True +; RUN_DATETIME = False + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = sextractor_runner, sextractor_runner, setools_runner, + mccd_preprocessing_runner, mccd_fit_val_runner, + merge_starcat_runner, mccd_plots_runner, + mccd_interp_runner + +# Run mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names with length matching FILE_PATTERN +INPUT_DIR = . + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 4 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options + +## Detection on tile +[SEXTRACTOR_RUNNER_RUN_1] + +INPUT_DIR = last:get_images_runner_run_1, last:uncompress_fits_runner, last:mask_runner_run_1 + +FILE_PATTERN = CFIS_image, CFIS_weight, pipeline_flag + +FILE_EXT = .fits, .fits, .fits + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -000-000 + +# SExtractor executable path +EXEC_PATH = sex + +# SExtractor configuration files +DOT_SEX_FILE = $SP_CONFIG/default_tile.sex +DOT_PARAM_FILE = $SP_CONFIG/default.param +DOT_CONV_FILE = $SP_CONFIG/default.conv + +# Use input weight image if True +WEIGHT_IMAGE = True + +# Use input flag image if True +FLAG_IMAGE = True + +# Use input PSF file if True +PSF_FILE = False + +# Use distinct image for detection (SExtractor in +# dual-image mode) if True +DETECTION_IMAGE = False + +# Distinct weight image for detection (SExtractor +# in dual-image mode) +DETECTION_WEIGHT = False + +ZP_FROM_HEADER = False + +BKG_FROM_HEADER = False + +# Type of image check (optional), default not used, can be a list of +# BACKGROUND, BACKGROUND_RMS, INIBACKGROUND, +# MINIBACK_RMS, -BACKGROUND, #FILTERED, +# OBJECTS, -OBJECTS, SEGMENTATION, APERTURES +#CHECKIMAGE = BACKGROUND + +# File name suffix for the output sextractor files (optional) +SUFFIX = sexcat + +## Post-processing + +# Necessary for tiles, to enable multi-exposure processing +MAKE_POST_PROCESS = True + +# Multi-epoch mode: Path to file with single-exposure WCS header information +LOG_WCS = $SP_RUN/output/log_exp_headers.sqlite + +# World coordinate keywords, SExtractor output. Format: KEY_X,KEY_Y +WORLD_POSITION = XWIN_WORLD,YWIN_WORLD + +# Number of pixels in x,y of a CCD. Format: Nx,Ny +CCD_SIZE = 33,2080,1,4612 + + +## Detection on single exposures +[SEXTRACTOR_RUNNER_RUN_2] + +INPUT_DIR = last:split_exp_runner, last:mask_runner_run_2 + +# Input from two modules +INPUT_MODULE = split_exp_runner, mask_runner_run_2 + +# Read pipeline flag files created by mask module +FILE_PATTERN = image, weight, pipeline_flag + +NUMBERING_SCHEME = -0000000-0 + +# SExtractor executable path +EXEC_PATH = sex + +# SExtractor configuration files +DOT_SEX_FILE = $SP_CONFIG/default_exp.sex +DOT_PARAM_FILE = $SP_CONFIG//default.param +DOT_CONV_FILE = $SP_CONFIG/default.conv + +# Use input weight image if True +WEIGHT_IMAGE = True + +# Use input flag image if True +FLAG_IMAGE = True + +# Use input PSF file if True +PSF_FILE = False + +# Use distinct image for detection (SExtractor in +# dual-image mode) if True. +DETECTION_IMAGE = False + +# Distinct weight image for detection (SExtractor +# in dual-image mode) if True +DETECTION_WEIGHT = False + +# Se to True if photometry zero-point is to be read from exposure image header +ZP_FROM_HEADER = True + +# If ZP_FROM_HEADER is True, zero-point key name +ZP_KEY = PHOTZP + +# Background information from image header. +# If BKG_FROM_HEADER is True, background value will be read from header. +# In that case, the value of BACK_TYPE will be set atomatically to MANUAL. +# This is used e.g. for the LSB images. +BKG_FROM_HEADER = False +# LSB images: +# BKG_FROM_HEADER = True + +# If BKG_FROM_HEADER is True, background value key name +# LSB images: +#BKG_KEY = IMMODE + +# Type of image check (optional), default not used, can be a list of +# BACKGROUND, BACKGROUND_RMS, INIBACKGROUND, MINIBACK_RMS, -BACKGROUND, +# FILTERED, OBJECTS, -OBJECTS, SEGMENTATION, APERTURES +CHECKIMAGE = BACKGROUND + +# File name suffix for the output sextractor files (optional) SUFFIX = tile +SUFFIX = sexcat + +## Post-processing + +# Not required for single exposures +MAKE_POST_PROCESS = FALSE + + +[SETOOLS_RUNNER] + +INPUT_MODULE = sextractor_runner_run_2 + +# Note: Make sure this doe not match the SExtractor background images +# (sexcat_background*) +FILE_PATTERN = sexcat + +NUMBERING_SCHEME = -0000000-0 + +# SETools config file +SETOOLS_CONFIG_PATH = $SP_CONFIG/star_selection.setools + + +[MCCD_PREPROCESSING_RUNNER] + +# Path to MCCD config file +CONFIG_PATH = $SP_CONFIG/config_MCCD.ini + +MODE = FIT_VALIDATION + +VERBOSE = False + +INPUT_DIR = last:setools_runner + +# Input are individual CCDs, thus single-exposure single-HDU images +NUMBERING_SCHEME = -0000000-0 + +FILE_PATTERN = star_split_ratio_80, star_split_ratio_20 + +FILE_EXT = .fits, .fits + + +[MCCD_FIT_VAL_RUNNER] + +# Path to MCCD config file +CONFIG_PATH = $SP_CONFIG/config_MCCD.ini + +MODE = FIT_VALIDATION + +VERBOSE = False + +NUMBERING_SCHEME = -0000000 + + +[MERGE_STARCAT_RUNNER] + +INPUT_DIR = last:mccd_fit_val_runner + +# Path to MCCD config file +CONFIG_PATH = $SP_CONFIG/config_MCCD.ini + +MODE = FIT_VALIDATION + +VERBOSE = False + +PSF_MODEL = mccd + +NUMBERING_SCHEME = -0000000 + + +[MCCD_PLOTS_RUNNER] + +# Path to MCCD config file +CONFIG_PATH = $SP_CONFIG/config_MCCD.ini + +MODE = FIT_VALIDATION + +VERBOSE = False + +# Now MCCD has created a focal-plane PSF model, including all CCDS per images, +# thus single-exposure files +NUMBERING_SCHEME = -0000000 + +PSF = mccd + +PLOT_MEANSHAPES = True + +# X_GRID, Y_GRID: correspond to the number of bins in each direction of each +# CCD from the focal plane. Ex: each CCD will be binned in 5x10 regular grids. +X_GRID = 5 +Y_GRID = 10 + +PLOT_HISTOGRAMS = True + +# REMOVE_OUTLIERS: Remove validated stars that are outliers in terms of shape +# before drawing the plots. +REMOVE_OUTLIERS = False + +PLOT_RHO_STATS = False + +# RHO_STATS_STYLE: can be 'HSC' or 'DES' +RHO_STATS_STYLE = HSC + + +[MCCD_INTERP_RUNNER] + +# MODE: Define the way the MCCD interpolation will run. +# CLASSIC for classical run. +# MULTI-EPOCH for multi epoch. +MODE = CLASSIC + +# Position parameter names +# for multi-epoch XWIN_WORLD,YWIN_WORLD +# For classical XWIN_IMAGE,YWIN_IMAGE: +POSITION_PARAMS = XWIN_IMAGE,YWIN_IMAGE + +# Get PSF shapes calculated and saved on the output dict +GET_SHAPES = True + +# Directory with PSF models +PSF_MODEL_DIR = /Users/tliaudat/Documents/PhD/codes/venv_p3/MCCD_pipeline_integration/test_val_data/fitted_model/ + +# PSF model patterns +PSF_MODEL_PATTERN = fitted_model + +# PSF model separator +PSF_MODEL_SEPARATOR = - + +# For multi-epoch purposes +ME_LOG_WCS = $SP_RUN/output/log_exp_headers.sqlite + + + diff --git a/example/hst_north/config_tile_Sx_exp_psfex.ini b/example/hst_north/config_tile_Sx_exp_psfex.ini new file mode 100644 index 000000000..1271eb012 --- /dev/null +++ b/example/hst_north/config_tile_Sx_exp_psfex.ini @@ -0,0 +1,248 @@ +# ShapePipe configuration file for single-exposures. PSFex PSF model. +# Process exposures after masking, from star detection to PSF model. + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = True + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_tile_Sx_exp_SxSePsf + +# Add date and time to RUN_NAME, optional, default: True +; RUN_DATETIME = False + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = sextractor_runner, sextractor_runner, setools_runner, psfex_runner, psfex_interp_runner + + +# Run mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names with length matching FILE_PATTERN +INPUT_DIR = . + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 40 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options + +[SEXTRACTOR_RUNNER_RUN_1] + +INPUT_MODULE = get_images_runner_run_1, uncompress_fits_runner, mask_runner_run_1 + +INPUT_DIR = last:get_images_runner_run_1, last:uncompress_fits_runner, last:mask_runner_run_1 + +FILE_PATTERN = CFIS_image, CFIS_weight, pipeline_flag + +FILE_EXT = .fits, .fits, .fits + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -000-000 + +# SExtractor executable path +EXEC_PATH = sex + +# SExtractor configuration files +DOT_SEX_FILE = $SP_CONFIG/default_tile.sex +DOT_PARAM_FILE = $SP_CONFIG/default.param +DOT_CONV_FILE = $SP_CONFIG/default.conv + +# Use input weight image if True +WEIGHT_IMAGE = True + +# Use input flag image if True +FLAG_IMAGE = True + +# Use input PSF file if True +PSF_FILE = False + +# Use distinct image for detection (SExtractor in +# dual-image mode) if True +DETECTION_IMAGE = False + +# Distinct weight image for detection (SExtractor +# in dual-image mode) +DETECTION_WEIGHT = False + +ZP_FROM_HEADER = False + +BKG_FROM_HEADER = False + +# Type of image check (optional), default not used, can be a list of +# BACKGROUND, BACKGROUND_RMS, INIBACKGROUND, +# MINIBACK_RMS, -BACKGROUND, #FILTERED, +# OBJECTS, -OBJECTS, SEGMENTATION, APERTURES +CHECKIMAGE = BACKGROUND + +# File name suffix for the output sextractor files (optional) +SUFFIX = sexcat + +## Post-processing + +# Necessary for tiles, to enable multi-exposure processing +MAKE_POST_PROCESS = True + +# Multi-epoch mode: Path to file with single-exposure WCS header information +LOG_WCS = $SP_RUN/output/log_exp_headers.sqlite + +# World coordinate keywords, SExtractor output. Format: KEY_X,KEY_Y +WORLD_POSITION = XWIN_WORLD,YWIN_WORLD + +# Number of pixels in x,y of a CCD. Format: Nx,Ny +CCD_SIZE = 33,2080,1,4612 + + +[SEXTRACTOR_RUNNER_RUN_2] + +# Somehow this works but not +# - omitting +# - $SP_RUN/output +#INPUT_DIR = . + +# Input from two modules +INPUT_MODULE = split_exp_runner, mask_runner + +# Read pipeline flag files created by mask module +FILE_PATTERN = image, weight, pipeline_flag + +NUMBERING_SCHEME = -0000000-0 + +# SExtractor executable path +EXEC_PATH = sex + +# SExtractor configuration files +DOT_SEX_FILE = $SP_CONFIG/default_exp.sex +DOT_PARAM_FILE = $SP_CONFIG//default.param +DOT_CONV_FILE = $SP_CONFIG/default.conv + +# Use input weight image if True +WEIGHT_IMAGE = True + +# Use input flag image if True +FLAG_IMAGE = True + +# Use input PSF file if True +PSF_FILE = False + +# Use distinct image for detection (SExtractor in +# dual-image mode) if True. +DETECTION_IMAGE = False + +# Distinct weight image for detection (SExtractor +# in dual-image mode) +DETECTION_WEIGHT = False + +# True if photometry zero-point is to be read from exposure image header +ZP_FROM_HEADER = True + +# If ZP_FROM_HEADER is True, zero-point key name +ZP_KEY = PHOTZP + +# Background information from image header. +# If BKG_FROM_HEADER is True, background value will be read from header. +# In that case, the value of BACK_TYPE will be set atomatically to MANUAL. +# This is used e.g. for the LSB images. +BKG_FROM_HEADER = False +# LSB images: +# BKG_FROM_HEADER = True + +# If BKG_FROM_HEADER is True, background value key name +# LSB images: +#BKG_KEY = IMMODE + +# Type of image check (optional), default not used, can be a list of +# BACKGROUND, BACKGROUND_RMS, INIBACKGROUND, MINIBACK_RMS, -BACKGROUND, +# FILTERED, OBJECTS, -OBJECTS, SEGMENTATION, APERTURES +CHECKIMAGE = BACKGROUND + +# File name suffix for the output sextractor files (optional) SUFFIX = tile +SUFFIX = sexcat + +## Post-processing + +# Not required for single exposures +MAKE_POST_PROCESS = FALSE + + +[SETOOLS_RUNNER] + +INPUT_MODULE = sextractor_runner_run_2 + +# Note: Make sure this doe not match the SExtractor background images +# (sexcat_background*) +FILE_PATTERN = sexcat + +NUMBERING_SCHEME = -0000000-0 + +# SETools config file +SETOOLS_CONFIG_PATH = $SP_CONFIG/star_selection.setools + + +[PSFEX_RUNNER] + +# Use 80% sample for PSF model +FILE_PATTERN = star_split_ratio_80 + +NUMBERING_SCHEME = -0000000-0 + +# Path to executable for the PSF model (optional) +EXEC_PATH = psfex + +# Default psfex configuration file +DOT_PSFEX_FILE = $SP_CONFIG/default.psfex + + +[PSFEX_INTERP_RUNNER] + +# Use 20% sample for PSF validation +FILE_PATTERN = star_split_ratio_80, star_split_ratio_20, psfex_cat + +FILE_EXT = .psf, .fits, .cat + +NUMBERING_SCHEME = -0000000-0 + +# Run mode for psfex interpolation: +# CLASSIC: 'classical' run, interpolate to object positions +# MULTI-EPOCH: interpolate for multi-epoch images +# VALIDATION: validation for single-epoch images +MODE = VALIDATION + +# Column names of position parameters +POSITION_PARAMS = XWIN_IMAGE,YWIN_IMAGE + +# If True, measure and store ellipticity of the PSF (using moments) +GET_SHAPES = True + +# Minimum number of stars per CCD for PSF model to be computed +STAR_THRESH = 22 + +# Maximum chi^2 for PSF model to be computed on CCD +CHI2_THRESH = 2 diff --git a/example/hst_north/config_tile_Uz.ini b/example/hst_north/config_tile_Uz.ini new file mode 100644 index 000000000..aef899d0f --- /dev/null +++ b/example/hst_north/config_tile_Uz.ini @@ -0,0 +1,70 @@ +# ShapePipe configuration file for: uncompress FITS image + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = True + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_Uz + +# Add date and time to RUN_NAME, optional, default: False +RUN_DATETIME = True + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = uncompress_fits_runner + +# Parallel processing mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names +INPUT_DIR = . + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 1 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options +[UNCOMPRESS_FITS_RUNNER] + +INPUT_DIR = last:get_images_runner_run_1 +#INPUT_MODULE = get_images_runner_run_1 + +FILE_PATTERN = CFIS_weight + +FILE_EXT = .fitsfz + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -000-000 + +# Input HDU of image data, optional, default=0 +HDU_DATA = 1 + +# Output file pattern +OUTPUT_PATTERN = CFIS_weight diff --git a/example/hst_north/default.conv b/example/hst_north/default.conv new file mode 100644 index 000000000..2590b9cba --- /dev/null +++ b/example/hst_north/default.conv @@ -0,0 +1,5 @@ +CONV NORM +# 3x3 ``all-ground'' convolution mask with FWHM = 2 pixels. +1 2 1 +2 4 2 +1 2 1 diff --git a/example/hst_north/default.param b/example/hst_north/default.param new file mode 100644 index 000000000..6521a94d5 --- /dev/null +++ b/example/hst_north/default.param @@ -0,0 +1,69 @@ +NUMBER #Running object number +EXT_NUMBER #FITS extension number + +FLUX_AUTO #Flux within a Kron-like elliptical aperture [count] +FLUXERR_AUTO #RMS error for AUTO flux [count] +MAG_AUTO #Kron-like elliptical aperture magnitude [mag] +MAGERR_AUTO #RMS error for AUTO magnitude [mag] +FLUX_WIN #Gaussian-weighted flux [count] +FLUXERR_WIN #RMS error for WIN flux [count] +MAG_WIN #Gaussian-weighted magnitude [mag] +MAGERR_WIN #RMS error for MAG_WIN [mag] +FLUX_APER(1) +FLUXERR_APER(1) + +FLUX_RADIUS #Fraction-of-light radii [pixel] + +SNR_WIN #Gaussian-weighted SNR + +BACKGROUND #Background at centroid position [count] +THRESHOLD #Detection threshold above background [count] + +X_IMAGE #Object position along x [pixel] +Y_IMAGE #Object position along y [pixel] + +X_WORLD #Barycenter position along world x axis [deg] +Y_WORLD #Barycenter position along world y axis [deg] + +X2_IMAGE #Variance along x [pixel**2] +Y2_IMAGE #Variance along y [pixel**2] +XY_IMAGE #Covariance between x and y [pixel**2] +ERRX2_IMAGE #Variance of position along x [pixel**2] +ERRY2_IMAGE #Variance of position along y [pixel**2] +ERRXY_IMAGE #Covariance of position between x and y [pixel**2] + +XWIN_IMAGE #Windowed position estimate along x [pixel] +YWIN_IMAGE #Windowed position estimate along y [pixel] + +XWIN_WORLD #Windowed position along world x axis [deg] +YWIN_WORLD #Windowed position along world y axis [deg] + +X2WIN_IMAGE #Windowed variance along x [pixel**2] +Y2WIN_IMAGE #Windowed variance along y [pixel**2] +XYWIN_IMAGE #Windowed covariance between x and y [pixel**2] +ERRX2WIN_IMAGE #Variance of windowed pos along x [pixel**2] +ERRY2WIN_IMAGE #Variance of windowed pos along y [pixel**2] +ERRXYWIN_IMAGE #Covariance of windowed pos between x and y [pixel**2] + +MU_THRESHOLD #Analysis threshold above background [mag * arcsec**(-2)] +MU_MAX #Peak surface brightness above background [mag * arcsec**(-2)] + +FLAGS #Extraction flags +FLAGS_WIN #Flags for WINdowed parameters + +#!!! REQUIRE FLAG_IMAGE !!! +IMAFLAGS_ISO #FLAG-image flags OR'ed over the iso. profile !!! REQUIRE FLAG_IMAGE !!! + +FWHM_IMAGE #FWHM assuming a gaussian core [pixel] +FWHM_WORLD #FWHM assuming a gaussian core [deg] +ELONGATION #A_IMAGE/B_IMAGE +ELLIPTICITY #1 - B_IMAGE/A_IMAGE + +VIGNET(51,51) #Pixel data around detection [count] + +#VECTOR_ASSOC #ASSOCiated parameter vector +#NUMBER_ASSOC #Number of ASSOCiated IDs + +#SPREAD_MODEL +#SPREADERR_MODEL +#FWHMPSF_IMAGE diff --git a/example/hst_north/default.psfex b/example/hst_north/default.psfex new file mode 100644 index 000000000..15af2dc29 --- /dev/null +++ b/example/hst_north/default.psfex @@ -0,0 +1,85 @@ +# Default configuration file for PSFEx 3.17.1 +# EB 2017-11-30 +# + +#-------------------------------- PSF model ---------------------------------- + +BASIS_TYPE PIXEL # NONE, PIXEL, GAUSS-LAGUERRE or FILE +BASIS_NUMBER 20 # Basis number or parameter +BASIS_NAME basis.fits # Basis filename (FITS data-cube) +BASIS_SCALE 1.0 # Gauss-Laguerre beta parameter +NEWBASIS_TYPE NONE # Create new basis: NONE, PCA_INDEPENDENT + # or PCA_COMMON +NEWBASIS_NUMBER 8 # Number of new basis vectors +PSF_SAMPLING 1. # Sampling step in pixel units (0.0 = auto) +PSF_PIXELSIZE 1.0 # Effective pixel size in pixel step units +PSF_ACCURACY 0.01 # Accuracy to expect from PSF "pixel" values +PSF_SIZE 51,51 # Image size of the PSF model +PSF_RECENTER N # Allow recentering of PSF-candidates Y/N ? +MEF_TYPE INDEPENDENT # INDEPENDENT or COMMON + +#------------------------- Point source measurements ------------------------- + +CENTER_KEYS XWIN_IMAGE,YWIN_IMAGE # Catalogue parameters for source pre-centering +PHOTFLUX_KEY FLUX_AUTO # Catalogue parameter for photometric norm. +PHOTFLUXERR_KEY FLUXERR_AUTO # Catalogue parameter for photometric error + +#----------------------------- PSF variability ------------------------------- + +PSFVAR_KEYS XWIN_IMAGE,YWIN_IMAGE # Catalogue or FITS (preceded by :) params +PSFVAR_GROUPS 1,1 # Group tag for each context key +PSFVAR_DEGREES 2 # Polynom degree for each group +PSFVAR_NSNAP 9 # Number of PSF snapshots per axis +HIDDENMEF_TYPE COMMON # INDEPENDENT or COMMON +STABILITY_TYPE EXPOSURE # EXPOSURE or SEQUENCE + +#----------------------------- Sample selection ------------------------------ + +SAMPLE_AUTOSELECT N # Automatically select the FWHM (Y/N) ? + +BADPIXEL_FILTER N # Filter bad-pixels in samples (Y/N) ? +BADPIXEL_NMAX 0 # Maximum number of bad pixels allowed + +#----------------------- PSF homogeneisation kernel -------------------------- + +HOMOBASIS_TYPE NONE # NONE or GAUSS-LAGUERRE +HOMOBASIS_NUMBER 10 # Kernel basis number or parameter +HOMOBASIS_SCALE 1.0 # GAUSS-LAGUERRE beta parameter +HOMOPSF_PARAMS 2.0, 3.0 # Moffat parameters of the idealised PSF +HOMOKERNEL_DIR # Where to write kernels (empty=same as input) +HOMOKERNEL_SUFFIX .homo.fits # Filename extension for homogenisation kernels + +#----------------------------- Output catalogs ------------------------------- + +OUTCAT_TYPE FITS_LDAC # NONE, ASCII_HEAD, ASCII, FITS_LDAC + +#------------------------------- Check-plots ---------------------------------- + +CHECKPLOT_DEV PNG # NULL, XWIN, TK, PS, PSC, XFIG, PNG, + # JPEG, AQT, PDF or SVG +CHECKPLOT_RES 0 # Check-plot resolution (0 = default) +CHECKPLOT_ANTIALIAS Y # Anti-aliasing using convert (Y/N) ? +CHECKPLOT_TYPE NONE # FWHM,ELLIPTICITY,COUNTS, COUNT_FRACTION, CHI2, RESIDUALS +CHECKPLOT_TYPE FWHM,ELLIPTICITY,COUNTS, COUNT_FRACTION, CHI2, RESIDUALS + # or NONE +CHECKPLOT_NAME fwhm, ellipticity, counts, countfrac, chi2, resi + +#------------------------------ Check-Images --------------------------------- + +# Note: Check-image types can be set the ShapePipe config file, psfex_runner section +####### +#CHECKIMAGE_TYPE NONE # CHI,PROTOTYPES,SAMPLES,RESIDUALS,SNAPSHOTS + # or MOFFAT,-MOFFAT,-SYMMETRICAL +#CHECKIMAGE_NAME chi.fits,proto.fits,samp.fits,resi.fits,snap.fits + # Check-image filenames +#CHECKIMAGE_CUBE N # Save check-images as datacubes (Y/N) ? + +#----------------------------- Miscellaneous --------------------------------- + +PSF_SUFFIX .psf # Filename extension for output PSF filename +VERBOSE_TYPE NORMAL # can be QUIET,NORMAL,LOG or FULL +WRITE_XML N # Write XML file (Y/N)? + +NTHREADS 1 # Number of simultaneous threads for + # the SMP version of PSFEx + # 0 = automatic diff --git a/example/hst_north/default_exp.sex b/example/hst_north/default_exp.sex new file mode 100644 index 000000000..b87275ecb --- /dev/null +++ b/example/hst_north/default_exp.sex @@ -0,0 +1,133 @@ +# Default configuration file for SExtractor 2.19.5 +# EB 2017-11-30 +# + +#-------------------------------- Catalog ------------------------------------ + +CATALOG_TYPE FITS_LDAC + +PARAMETERS_NAME default.param + +#------------------------------- Extraction ---------------------------------- + +DETECT_TYPE CCD # CCD (linear) or PHOTO (with gamma correction) +DETECT_MINAREA 5 # min. # of pixels above threshold +DETECT_MAXAREA 0 # max. # of pixels above threshold (0=unlimited) +THRESH_TYPE RELATIVE # threshold type: RELATIVE (in sigmas) + # or ABSOLUTE (in ADUs) +DETECT_THRESH 1.5 # or , in mag.arcsec-2 +ANALYSIS_THRESH 1.5 # or , in mag.arcsec-2 + +FILTER Y # apply filter for detection (Y or N)? +FILTER_NAME default.conv +FILTER_THRESH # Threshold[s] for retina filtering + +DEBLEND_NTHRESH 32 # Number of deblending sub-thresholds +DEBLEND_MINCONT 0.001 # Minimum contrast parameter for deblending + +CLEAN Y # Clean spurious detections? (Y or N)? +CLEAN_PARAM 1.0 # Cleaning efficiency + +MASK_TYPE CORRECT # type of detection MASKing: can be one of + # NONE, BLANK or CORRECT + +#-------------------------------- WEIGHTing ---------------------------------- + +WEIGHT_TYPE MAP_WEIGHT # type of WEIGHTing: NONE, BACKGROUND, + # MAP_RMS, MAP_VAR or MAP_WEIGHT +RESCALE_WEIGHTS Y # Rescale input weights/variances (Y/N)? +WEIGHT_IMAGE weight.fits # weight-map filename +WEIGHT_GAIN Y # modulate gain (E/ADU) with weights? (Y/N) +WEIGHT_THRESH # weight threshold[s] for bad pixels + +#-------------------------------- FLAGging ----------------------------------- + +FLAG_IMAGE flag.fits # filename for an input FLAG-image +FLAG_TYPE OR # flag pixel combination: OR, AND, MIN, MAX + # or MOST + +#------------------------------ Photometry ----------------------------------- + +PHOT_APERTURES 5 # MAG_APER aperture diameter(s) in pixels +PHOT_AUTOPARAMS 2.5, 3.5 # MAG_AUTO parameters: , +PHOT_PETROPARAMS 2.0, 3.5 # MAG_PETRO parameters: , + # +PHOT_AUTOAPERS 0.0,0.0 # , minimum apertures + # for MAG_AUTO and MAG_PETRO +PHOT_FLUXFRAC 0.5 # flux fraction[s] used for FLUX_RADIUS + +SATUR_KEY SATURATE # keyword for saturation level (in ADUs) + +MAG_ZEROPOINT 30.0 # magnitude zero-point +MAG_GAMMA 4.0 # gamma of emulsion (for photographic scans) + +GAIN_KEY GAIN # keyword for detector gain in e-/ADU +PIXEL_SCALE 0. # size of pixel in arcsec (0=use FITS WCS info) + +#------------------------- Star/Galaxy Separation ---------------------------- + +SEEING_FWHM 0.6 # stellar FWHM in arcsec +STARNNW_NAME default.nnw + +#------------------------------ Background ----------------------------------- + +BACK_TYPE AUTO # AUTO or MANUAL +BACK_VALUE 0.0 # Default background value in MANUAL mode +BACK_SIZE 64 # Background mesh: or , +BACK_FILTERSIZE 3 # Background filter: or , + +BACKPHOTO_TYPE GLOBAL # can be GLOBAL or LOCAL +BACKPHOTO_THICK 24 # thickness of the background LOCAL annulus +BACK_FILTTHRESH 0.0 # Threshold above which the background- + # map filter operates + +#------------------------------ Check Image ---------------------------------- + +####### +## AG : This parameter is set in pipeline config file. +####### +# CHECKIMAGE_TYPE NONE #BACKGROUND_RMS,BACKGROUND +# can be NONE, BACKGROUND, BACKGROUND_RMS, + # MINIBACKGROUND, MINIBACK_RMS, -BACKGROUND, + # FILTERED, OBJECTS, -OBJECTS, SEGMENTATION, + # or APERTURES +# CHECKIMAGE_NAME check.fits,back.fits +# Filename for the check-image + +#--------------------- Memory (change with caution!) ------------------------- + +MEMORY_OBJSTACK 3000 # number of objects in stack +MEMORY_PIXSTACK 300000 # number of pixels in stack +MEMORY_BUFSIZE 1024 # number of lines in buffer + +#------------------------------- ASSOCiation --------------------------------- + +ASSOC_NAME sky.list # name of the ASCII file to ASSOCiate +ASSOC_DATA 2,3,4 # columns of the data to replicate (0=all) +ASSOC_PARAMS 2,3,4 # columns of xpos,ypos[,mag] +ASSOCCOORD_TYPE PIXEL # ASSOC coordinates: PIXEL or WORLD +ASSOC_RADIUS 2.0 # cross-matching radius (pixels) +ASSOC_TYPE NEAREST # ASSOCiation method: FIRST, NEAREST, MEAN, + # MAG_MEAN, SUM, MAG_SUM, MIN or MAX +ASSOCSELEC_TYPE MATCHED # ASSOC selection type: ALL, MATCHED or -MATCHED + +#----------------------------- Miscellaneous --------------------------------- + +VERBOSE_TYPE NORMAL # can be QUIET, NORMAL or FULL +HEADER_SUFFIX .head # Filename extension for additional headers +WRITE_XML N # Write XML file (Y/N)? + +NTHREADS 1 # 1 single thread + +FITS_UNSIGNED N # Treat FITS integer values as unsigned (Y/N)? +INTERP_MAXXLAG 16 # Max. lag along X for 0-weight interpolation +INTERP_MAXYLAG 16 # Max. lag along Y for 0-weight interpolation +INTERP_TYPE ALL # Interpolation type: NONE, VAR_ONLY or ALL + +#--------------------------- Experimental Stuff ----------------------------- + +#PSF_NAME default.psf # File containing the PSF model +#PSF_NMAX 1 # Max.number of PSFs fitted simultaneously +#PATTERN_TYPE RINGS-HARMONIC # can RINGS-QUADPOLE, RINGS-OCTOPOLE, + # RINGS-HARMONICS or GAUSS-LAGUERRE +#SOM_NAME default.som # File containing Self-Organizing Map weights diff --git a/example/hst_north/default_tile.sex b/example/hst_north/default_tile.sex new file mode 100644 index 000000000..ff3b25213 --- /dev/null +++ b/example/hst_north/default_tile.sex @@ -0,0 +1,133 @@ +# Default configuration file for SExtractor 2.19.5 +# EB 2017-11-30 +# + +#-------------------------------- Catalog ------------------------------------ + +CATALOG_TYPE FITS_LDAC + +PARAMETERS_NAME default.param + +#------------------------------- Extraction ---------------------------------- + +DETECT_TYPE CCD # CCD (linear) or PHOTO (with gamma correction) +DETECT_MINAREA 5 # min. # of pixels above threshold +DETECT_MAXAREA 0 # max. # of pixels above threshold (0=unlimited) +THRESH_TYPE RELATIVE # threshold type: RELATIVE (in sigmas) + # or ABSOLUTE (in ADUs) +DETECT_THRESH 1.5 # or , in mag.arcsec-2 +ANALYSIS_THRESH 1.5 # or , in mag.arcsec-2 + +FILTER Y # apply filter for detection (Y or N)? +FILTER_NAME default.conv +FILTER_THRESH # Threshold[s] for retina filtering + +DEBLEND_NTHRESH 32 # Number of deblending sub-thresholds +DEBLEND_MINCONT 0.0005 # Minimum contrast parameter for deblending + +CLEAN Y # Clean spurious detections? (Y or N)? +CLEAN_PARAM 1.0 # Cleaning efficiency + +MASK_TYPE CORRECT # type of detection MASKing: can be one of + # NONE, BLANK or CORRECT + +#-------------------------------- WEIGHTing ---------------------------------- + +WEIGHT_TYPE MAP_WEIGHT # type of WEIGHTing: NONE, BACKGROUND, + # MAP_RMS, MAP_VAR or MAP_WEIGHT +RESCALE_WEIGHTS Y # Rescale input weights/variances (Y/N)? +WEIGHT_IMAGE weight.fits # weight-map filename +WEIGHT_GAIN Y # modulate gain (E/ADU) with weights? (Y/N) +WEIGHT_THRESH # weight threshold[s] for bad pixels + +#-------------------------------- FLAGging ----------------------------------- + +FLAG_IMAGE flag.fits # filename for an input FLAG-image +FLAG_TYPE OR # flag pixel combination: OR, AND, MIN, MAX + # or MOST + +#------------------------------ Photometry ----------------------------------- + +PHOT_APERTURES 5 # MAG_APER aperture diameter(s) in pixels +PHOT_AUTOPARAMS 2.5, 3.5 # MAG_AUTO parameters: , +PHOT_PETROPARAMS 2.0, 3.5 # MAG_PETRO parameters: , + # +PHOT_AUTOAPERS 0.0,0.0 # , minimum apertures + # for MAG_AUTO and MAG_PETRO +PHOT_FLUXFRAC 0.5 # flux fraction[s] used for FLUX_RADIUS + +SATUR_KEY SATURATE # keyword for saturation level (in ADUs) + +MAG_ZEROPOINT 30.0 # magnitude zero-point +MAG_GAMMA 4.0 # gamma of emulsion (for photographic scans) + +GAIN_KEY GAIN # keyword for detector gain in e-/ADU +PIXEL_SCALE 0. # size of pixel in arcsec (0=use FITS WCS info) + +#------------------------- Star/Galaxy Separation ---------------------------- + +SEEING_FWHM 0.6 # stellar FWHM in arcsec +STARNNW_NAME default.nnw + +#------------------------------ Background ----------------------------------- + +BACK_TYPE MANUAL # AUTO or MANUAL +BACK_VALUE 0.0 # Default background value in MANUAL mode +BACK_SIZE 64 # Background mesh: or , +BACK_FILTERSIZE 3 # Background filter: or , + +BACKPHOTO_TYPE GLOBAL # can be GLOBAL or LOCAL +BACKPHOTO_THICK 24 # thickness of the background LOCAL annulus +BACK_FILTTHRESH 0.0 # Threshold above which the background- + # map filter operates + +#------------------------------ Check Image ---------------------------------- + +####### +## AG : This parameter is set in pipeline config file. +####### +# CHECKIMAGE_TYPE NONE #BACKGROUND_RMS,BACKGROUND +# can be NONE, BACKGROUND, BACKGROUND_RMS, + # MINIBACKGROUND, MINIBACK_RMS, -BACKGROUND, + # FILTERED, OBJECTS, -OBJECTS, SEGMENTATION, + # or APERTURES +# CHECKIMAGE_NAME check.fits,back.fits +# Filename for the check-image + +#--------------------- Memory (change with caution!) ------------------------- + +MEMORY_OBJSTACK 3000 # number of objects in stack +MEMORY_PIXSTACK 300000 # number of pixels in stack +MEMORY_BUFSIZE 1024 # number of lines in buffer + +#------------------------------- ASSOCiation --------------------------------- + +ASSOC_NAME sky.list # name of the ASCII file to ASSOCiate +ASSOC_DATA 2,3,4 # columns of the data to replicate (0=all) +ASSOC_PARAMS 2,3,4 # columns of xpos,ypos[,mag] +ASSOCCOORD_TYPE PIXEL # ASSOC coordinates: PIXEL or WORLD +ASSOC_RADIUS 2.0 # cross-matching radius (pixels) +ASSOC_TYPE NEAREST # ASSOCiation method: FIRST, NEAREST, MEAN, + # MAG_MEAN, SUM, MAG_SUM, MIN or MAX +ASSOCSELEC_TYPE MATCHED # ASSOC selection type: ALL, MATCHED or -MATCHED + +#----------------------------- Miscellaneous --------------------------------- + +VERBOSE_TYPE NORMAL # can be QUIET, NORMAL or FULL +HEADER_SUFFIX .head # Filename extension for additional headers +WRITE_XML N # Write XML file (Y/N)? + +NTHREADS 1 # 1 single thread + +FITS_UNSIGNED N # Treat FITS integer values as unsigned (Y/N)? +INTERP_MAXXLAG 16 # Max. lag along X for 0-weight interpolation +INTERP_MAXYLAG 16 # Max. lag along Y for 0-weight interpolation +INTERP_TYPE ALL # Interpolation type: NONE, VAR_ONLY or ALL + +#--------------------------- Experimental Stuff ----------------------------- + +#PSF_NAME default.psf # File containing the PSF model +#PSF_NMAX 1 # Max.number of PSFs fitted simultaneously +#PATTERN_TYPE RINGS-HARMONIC # can RINGS-QUADPOLE, RINGS-OCTOPOLE, + # RINGS-HARMONICS or GAUSS-LAGUERRE +#SOM_NAME default.som # File containing Self-Organizing Map weights diff --git a/example/hst_north/final_cat.param b/example/hst_north/final_cat.param new file mode 100644 index 000000000..9bbbec7a0 --- /dev/null +++ b/example/hst_north/final_cat.param @@ -0,0 +1,96 @@ +# coordinates +XWIN_WORLD +YWIN_WORLD + +# tile ID, for plot of tile-dependent additive bias. +# Can maybe be removed. +TILE_ID + +# flags +FLAGS +IMAFLAGS_ISO +NGMIX_MCAL_FLAGS + +# PSF ellipticity +NGMIX_ELL_PSFo_NOSHEAR + +# spread class +SPREAD_CLASS + +# spread model flag and error +SPREAD_MODEL +SPREADERR_MODEL + +# Number of epochs (exposures) +N_EPOCH +NGMIX_N_EPOCH + +## Shape measurement outputs +## Ngmix: model fitting + +# galaxy ellipticity +NGMIX_ELL_1M +NGMIX_ELL_1P +NGMIX_ELL_2M +NGMIX_ELL_2P +NGMIX_ELL_NOSHEAR +#NGMIX_ELL_ERR_1M +#NGMIX_ELL_ERR_1P +#NGMIX_ELL_ERR_2M +#NGMIX_ELL_ERR_2P +NGMIX_ELL_ERR_NOSHEAR + +# flags +NGMIX_FLAGS_1M +NGMIX_FLAGS_1P +NGMIX_FLAGS_2M +NGMIX_FLAGS_2P +NGMIX_FLAGS_NOSHEAR + +# size and error +NGMIX_T_1M +NGMIX_T_1P +NGMIX_T_2M +NGMIX_T_2P +NGMIX_T_NOSHEAR +NGMIX_T_ERR_1M +NGMIX_T_ERR_1P +NGMIX_T_ERR_2M +NGMIX_T_ERR_2P +NGMIX_T_ERR_NOSHEAR +NGMIX_Tpsf_1M +NGMIX_Tpsf_1P +NGMIX_Tpsf_2M +NGMIX_Tpsf_2P +NGMIX_Tpsf_NOSHEAR + +# flux and error +NGMIX_FLUX_1M +NGMIX_FLUX_1P +NGMIX_FLUX_2M +NGMIX_FLUX_2P +NGMIX_FLUX_NOSHEAR +NGMIX_FLUX_ERR_1M +NGMIX_FLUX_ERR_1P +NGMIX_FLUX_ERR_2M +NGMIX_FLUX_ERR_2P +NGMIX_FLUX_ERR_NOSHEAR + +# Flag for multiple objects due to overlapping +# tiles +FLAG_TILING + +# magnitude, mainly for plots +MAG_AUTO + +# SNR from SExtractor, used for cuts on GALSIM shapes +SNR_WIN + +# PSF size measured on original image +NGMIX_T_PSFo_NOSHEAR + +# PSF size measured on reconvolved image +# NGMIX_Tpsf_NOSHEAR + +# ngmix moment failure flag +NGMIX_MOM_FAIL diff --git a/example/hst_north/mask_default/MEGAPRIME_star_i_13.8.reg b/example/hst_north/mask_default/MEGAPRIME_star_i_13.8.reg new file mode 100644 index 000000000..4e4164aaf --- /dev/null +++ b/example/hst_north/mask_default/MEGAPRIME_star_i_13.8.reg @@ -0,0 +1,24 @@ +-11.5 68 +-6 186.5 +7 188 +10 64.5 +31 55 +50 38.5 +56.5 11.5 +188 8 +192 -4 +59.5 -11.5 +45 -33 +13.5 -64 +5 -154 +-6 -155 +-11 -64.5 +-40 -44.5 +-51.5 -30.5 +-62.5 -22.5 +-68 -9.5 +-177 -2 +-176 3 +-78 12.5 +-67.5 14.5 +-38.5 50 diff --git a/example/hst_north/mask_default/Messier_catalog.npy 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+WEIGHT_MAX 1000. # Pixels above those thresholds will be flagged +WEIGHT_OUTFLAGS 1 # FLAG values for thresholded pixels + +#---------------------------------- Flags ------------------------------------- + +FLAG_NAMES flagin.fits # Filename(s) of the input FLAG map(s) + +FLAG_WMASKS 0xff # Bits which will nullify the WEIGHT-map pixels +FLAG_MASKS 0x01 # Bits which will be converted as output FLAGs +FLAG_OUTFLAGS 2 # Translation of the FLAG_MASKS bits + +#---------------------------------- Polygons ---------------------------------- + +POLY_NAMES "" # Filename(s) of input DS9 regions +POLY_OUTFLAGS # FLAG values for polygon masks +POLY_OUTWEIGHTS 0.0 # Weight values for polygon masks +POLY_INTERSECT Y # Use inclusive OR for polygon intersects (Y/N)? + +#---------------------------------- Output ------------------------------------ + +OUTWEIGHT_NAME "w.fits" # Output WEIGHT-map filename +OUTFLAG_NAME flag.fits # Output FLAG-map filename + +#----------------------------- Miscellaneous --------------------------------- + +GETAREA N # Compute area for flags and weights (Y/N)? +GETAREA_WEIGHT 0.0 # Weight threshold for area computation +GETAREA_FLAGS 1 # Bit mask for flag pixels not counted in area +MEMORY_BUFSIZE 256 # Buffer size in lines +VERBOSE_TYPE NORMAL # can be QUIET, NORMAL or FULL +WRITE_XML N # Write XML file (Y/N)? +XML_NAME ww.xml # Filename for XML output +XSL_URL file:///usr/local/share/weightwatcher/ww.xsl + # Filename for XSL style-sheet +NTHREADS 1 # 1 single thread \ No newline at end of file diff --git a/example/hst_north/mask_default/halo_mask.reg b/example/hst_north/mask_default/halo_mask.reg new file mode 100644 index 000000000..c44f25167 --- /dev/null +++ b/example/hst_north/mask_default/halo_mask.reg @@ -0,0 +1,50 @@ + 274.66813 -1.25966 + 272.54579 32.47406 + 266.21222 65.67579 + 255.76731 97.82190 + 241.37579 128.40544 + 223.26462 156.94408 + 201.71942 182.98775 + 177.07997 206.12573 + 149.73486 225.99312 + 120.11532 242.27660 + 88.68848 254.71937 + 55.94996 263.12519 + 22.41606 267.36151 + -11.38436 267.36151 + -44.91826 263.12519 + -77.65678 254.71937 +-109.08362 242.27660 +-138.70315 225.99312 +-166.04827 206.12573 +-190.68772 182.98775 +-212.23292 156.94408 +-230.34409 128.40544 +-244.73561 97.82190 +-255.18052 65.67579 +-261.51409 32.47406 +-263.63643 -1.25966 +-261.51409 -34.99339 +-255.18052 -68.19511 +-244.73561 -100.34123 +-230.34409 -130.92476 +-212.23292 -159.46341 +-190.68772 -185.50708 +-166.04827 -208.64506 +-138.70315 -228.51245 +-109.08362 -244.79593 + -77.65678 -257.23870 + -44.91826 -265.64452 + -11.38436 -269.88084 + 22.41606 -269.88084 + 55.94996 -265.64452 + 88.68848 -257.23870 + 120.11532 -244.79593 + 149.73486 -228.51245 + 177.07997 -208.64506 + 201.71942 -185.50708 + 223.26462 -159.46341 + 241.37579 -130.92476 + 255.76731 -100.34123 + 266.21222 -68.19511 + 272.54579 -34.99339 diff --git a/example/hst_north/star_selection.setools b/example/hst_north/star_selection.setools new file mode 100644 index 000000000..424457853 --- /dev/null +++ b/example/hst_north/star_selection.setools @@ -0,0 +1,104 @@ +## SETools configuration file for star/galaxy separation based on size/mag properties + +[MASK:preselect] +MAG_AUTO > 0 +MAG_AUTO < 21 +FWHM_IMAGE > 0.3 / 0.187 +FWHM_IMAGE < 1.5 / 0.187 +FLAGS == 0 +IMAFLAGS_ISO == 0 +NO_SAVE + +[MASK:flag] +FLAGS == 0 +IMAFLAGS_ISO == 0 +NO_SAVE + + +[MASK:star_selection] +# Star selection using the FWHM mode +MAG_AUTO > 18. +MAG_AUTO < 22. +FWHM_IMAGE <= mode(FWHM_IMAGE{preselect}) + 0.2 +FWHM_IMAGE >= mode(FWHM_IMAGE{preselect}) - 0.2 +FLAGS == 0 +IMAFLAGS_ISO == 0 +#CLASS_STAR != 0 + +[MASK:fwhm_mag_cut] +FWHM_IMAGE > 0 +FWHM_IMAGE < 40 +MAG_AUTO < 35 +FLAGS == 0 +IMAFLAGS_ISO == 0 +NO_SAVE + +# Split the 'star_selection' sample into +# two random sub-samples with ratio 80/20 +[RAND_SPLIT:star_split] +RATIO = 20 +MASK = star_selection + +# The following selection is only used for plotting + +[PLOT:size_mag] +TYPE = plot +FORMAT = png +X_1 = FWHM_IMAGE{fwhm_mag_cut} +Y_1 = MAG_AUTO{fwhm_mag_cut} +X_2 = FWHM_IMAGE{star_selection} +Y_2 = MAG_AUTO{star_selection} +MARKER_1 = + +MARKER_2 = . +MARKERSIZE_1 = 3 +MARKERSIZE_2 = 3 +LABEL_1 = All +LABEL_2 = "Stars, mean FWHM: @mean(FWHM_IMAGE{star_selection})*0.187@ arcsec" +TITLE = "Stellar locus" +XLABEL = "FWHM (pix)" +YLABEL = Mag + +[PLOT:hist_mag_stars] +TYPE = hist +FORMAT = png +Y = MAG_AUTO{star_selection} +BIN = 20 +LABEL = "stars" +XLABEL = "Magnitude" +YLABEL = "Number" +TITLE = "Magnitude of stars" + +[PLOT:fwhm_field] +TYPE = scatter +FORMAT = png +X = X_IMAGE{star_selection} +Y = Y_IMAGE{star_selection} +SCATTER = FWHM_IMAGE{star_selection}*0.186 +MARKER = . +LABEL = "FWHM (arcsec)" +TITLE = "FWHM of stars" +XLABEL = "X (pix)" +YLABEL = "Y (pix)" + +[PLOT:mag_star_field] +TYPE = scatter +FORMAT = png +X = X_IMAGE{star_selection} +Y = Y_IMAGE{star_selection} +SCATTER = MAG_AUTO{star_selection} +MARKER = . +LABEL = "Magnitude" +TITLE = "Magnitude of stars" +XLABEL = "X (pix)" +YLABEL = "Y (pix)" + +[STAT:star_stat] +"Nb objects full cat" = len(FWHM_IMAGE) +"Nb objects not masked" = len(FWHM_IMAGE{flag}) +"Nb stars" = len(FWHM_IMAGE{star_selection}) +"stars/deg^2" = len(FWHM_IMAGE{star_selection})/4612./0.187*3600.*1./2048./0.187*3600. +"Mean star fwhm selected (arcsec)" = mean(FWHM_IMAGE{star_selection})*0.187 +"Standard deviation fwhm star selected (arcsec)" = std(FWHM_IMAGE{star_selection})*0.187 +"Mode fwhm used (arcsec)" = mode(FWHM_IMAGE{preselect})*0.187 +"Min fwhm cut (arcesec)" = mode(FWHM_IMAGE{preselect})*0.187-0.1*0.187 +"Max fwhm cut (arcsec)" = mode(FWHM_IMAGE{preselect})*0.187+0.1*0.187 diff --git a/example/hst_north/tiles_all_order.txt b/example/hst_north/tiles_all_order.txt new file mode 100644 index 000000000..6641559b4 --- /dev/null +++ b/example/hst_north/tiles_all_order.txt @@ -0,0 +1,12621 @@ +245.292 +230.293 +240.292 +247.291 +257.286 +245.290 +270.282 +271.283 +261.283 +264.286 +243.291 +249.289 +260.285 +253.289 +267.282 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skymapper-0.4.2-py2.py3-none-any.whl (41 kB)\n", - "\u001b[2K \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m41.9/41.9 KB\u001b[0m \u001b[31m9.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", - "\u001b[?25hCollecting healpy\n", - " Downloading healpy-1.15.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (23.7 MB)\n", - "\u001b[2K \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m23.7/23.7 MB\u001b[0m \u001b[31m37.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0mm eta \u001b[36m0:00:01\u001b[0m[36m0:00:01\u001b[0m\n", - "\u001b[?25hRequirement already satisfied: scipy in /automnt/n08data/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages (from skymapper) (1.5.4)\n", - "Requirement already satisfied: matplotlib in /automnt/n08data/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages (from skymapper) (3.3.4)\n", - "Requirement already satisfied: numpy in /automnt/n08data/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages (from skymapper) (1.19.5)\n", - "Requirement already satisfied: astropy in /automnt/n08data/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages (from healpy->skymapper) (4.1)\n", - "Requirement already satisfied: cycler>=0.10 in /automnt/n08data/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages (from matplotlib->skymapper) (0.11.0)\n", - "Requirement already satisfied: kiwisolver>=1.0.1 in /automnt/n08data/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages (from matplotlib->skymapper) (1.3.2)\n", - "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /automnt/n08data/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages (from matplotlib->skymapper) (3.0.7)\n", - "Requirement already satisfied: pillow>=6.2.0 in /automnt/n08data/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages (from matplotlib->skymapper) (8.2.0)\n", - "Requirement already satisfied: python-dateutil>=2.1 in /automnt/n08data/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages (from matplotlib->skymapper) (2.8.2)\n", - "Requirement already satisfied: six>=1.5 in /automnt/n08data/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages (from python-dateutil>=2.1->matplotlib->skymapper) (1.16.0)\n", - "Installing collected packages: healpy, skymapper\n", - "Successfully installed healpy-1.15.2 skymapper-0.4.2\n" - ] - } - ], - "source": [ - "!pip install skymapper" - ] - }, - { - "cell_type": "code", - "execution_count": 4, + "execution_count": 1, "metadata": {}, "outputs": [ { @@ -87,7 +53,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -95,6 +61,7 @@ "# - 3DHST (AEGIS and GOODS-N)\n", "# http://monoceros.astro.yale.edu/RELEASE_V4.1.5/3dhst.v4.1.5.master.fits.gz\n", "# (Need to first register at https://3dhst.research.yale.edu/signup.php)\n", + "# GOODS-N also goods_n.fits\n", "# - DEEP2, DEEP3:\n", "# deep.ps.uci.edu/deep3/zcat_archive/alldeep.egs.uniq.2012jun13.fits.gz\n", "# - SDSS\n", @@ -129,7 +96,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -222,14 +189,16 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "3DHST-GOODS-N: 207967 objects in total, 38279/207967 = 18.4% potentially in UNIONS footprint\n" + "3DHST-AEGIS: 207967 objects in total, 41200/207967 = 19.8% potentially in UNIONS footprint\n", + "3DHST-GOODS-N: 207967 objects in total, 38279/207967 = 18.4% potentially in UNIONS footprint\n", + "GOODS-N: 39432 objects in total, 39432/39432 = 100.0% potentially in UNIONS footprint\n" ] } ], @@ -244,7 +213,7 @@ "# 'eBOSSLRGCMASS16-N', 'eBOSSLRGCMASS16-S', 'eBOSSELG16-N',\n", "# 'eBOSSQSO16-N', 'eBOSSQSO16-S']\n", "\n", - "use = ['3DHST-GOODS-N']\n", + "use = ['3DHST-GOODS-N', '3DHST-AEGIS', 'GOODS-N']\n", "\n", "if 'Test' in use:\n", " surveys.append(Survey.from_array('Test', 'orange',\n", @@ -257,6 +226,11 @@ " surveys.append(Survey.from_fits('3DHST-GOODS-N', 'blue',\n", " '{}/3dhst.v4.1.5.master.fits'.format(cat_home), \n", " dec_min=60))\n", + "if 'GOODS-N' in use:\n", + " surveys.append(Survey.from_fits('GOODS-N', 'blue',\n", + " '{}/goods_n.fits'.format(cat_home),\n", + " key_ra='RAJ2000', key_dec='DEJ2000',\n", + " dec_min=60))\n", "if 'DEEP2+3' in use:\n", " surveys.append(Survey.from_fits('DEEP2+3', 'magenta',\n", " '{}/alldeep.egs.uniq.2012jun13.fits'.format(cat_home),\n", @@ -336,17 +310,9 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "3DHST-GOODS-N 3DHST-GOODS-N\t\t 0/38279 = 0.00% objects not matched\n" - ] - } - ], + "outputs": [], "source": [ "fraction = {}\n", "fraction['N'] = {} # np.zeros(shape=(len(surveys), len(surveys)))\n", @@ -387,30 +353,19 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 7, "metadata": {}, "outputs": [ { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
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" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" + "ename": "NameError", + "evalue": "name 'fraction' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Input \u001b[0;32mIn [8]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m df_S \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mDataFrame(\u001b[43mfraction\u001b[49m[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mS\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[1;32m 2\u001b[0m df_S\u001b[38;5;241m.\u001b[39mstyle\u001b[38;5;241m.\u001b[39mbackground_gradient(cmap\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcoolwarm\u001b[39m\u001b[38;5;124m'\u001b[39m)\u001b[38;5;241m.\u001b[39mset_precision(\u001b[38;5;241m2\u001b[39m)\n", + "\u001b[0;31mNameError\u001b[0m: name 'fraction' is not defined" + ] } ], "source": [ @@ -453,7 +404,9 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "tags": [] + }, "source": [ "### Set-up\n", "Define optical bands, paths, and load image IDs." @@ -461,20 +414,18 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 18, "metadata": {}, "outputs": [ { - "ename": "CfisError", - "evalue": "No entries in file name list", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mCfisError\u001b[0m Traceback (most recent call last)", - "Input \u001b[0;32mIn [11]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 22\u001b[0m images \u001b[38;5;241m=\u001b[39m {}\n\u001b[1;32m 23\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m band \u001b[38;5;129;01min\u001b[39;00m bands:\n\u001b[0;32m---> 24\u001b[0m images[band] \u001b[38;5;241m=\u001b[39m \u001b[43mcfis\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_image_list\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtiles_ID\u001b[49m\u001b[43m[\u001b[49m\u001b[43mband\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mband\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mimage_type\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minput_format\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mID_only\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mverbose\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m~/.conda/envs/shapepipe/lib/python3.8/site-packages/shapepipe/utilities/cfis.py:952\u001b[0m, in \u001b[0;36mget_image_list\u001b[0;34m(inp, band, image_type, col, input_format, verbose)\u001b[0m\n\u001b[1;32m 949\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m CfisError(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mImage type \u001b[39m\u001b[38;5;130;01m\\'\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00mimage_type\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\'\u001b[39;00m\u001b[38;5;124m not supported\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 951\u001b[0m \u001b[38;5;66;03m# Create list of objects, coordinate lists can be empty\u001b[39;00m\n\u001b[0;32m--> 952\u001b[0m image_list \u001b[38;5;241m=\u001b[39m \u001b[43mcreate_image_list\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 953\u001b[0m \u001b[43m \u001b[49m\u001b[43mfile_list\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 954\u001b[0m \u001b[43m \u001b[49m\u001b[43mra_list\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 955\u001b[0m \u001b[43m \u001b[49m\u001b[43mdec_list\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 956\u001b[0m \u001b[43m \u001b[49m\u001b[43mexp_time\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mexp_time_list\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 957\u001b[0m \u001b[43m \u001b[49m\u001b[43mvalid\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mvalid_list\u001b[49m\n\u001b[1;32m 958\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 960\u001b[0m \u001b[38;5;66;03m# Filter file list to match CFIS image pattern\u001b[39;00m\n\u001b[1;32m 961\u001b[0m img_list \u001b[38;5;241m=\u001b[39m []\n", - "File \u001b[0;32m~/.conda/envs/shapepipe/lib/python3.8/site-packages/shapepipe/utilities/cfis.py:834\u001b[0m, in \u001b[0;36mcreate_image_list\u001b[0;34m(fname, ra, dec, exp_time, valid)\u001b[0m\n\u001b[1;32m 832\u001b[0m nd \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlen\u001b[39m(dec)\n\u001b[1;32m 833\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m nf \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[0;32m--> 834\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m CfisError(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mNo entries in file name list\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 835\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (nf \u001b[38;5;241m!=\u001b[39m nr \u001b[38;5;129;01mor\u001b[39;00m nf \u001b[38;5;241m!=\u001b[39m nd) \u001b[38;5;129;01mand\u001b[39;00m nr \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m0\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m nd \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m 836\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m CfisError(\n\u001b[1;32m 837\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mLists fname, ra, dec have not same length (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mnf\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m, \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mnr\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m, \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mnd\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m)\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m 838\u001b[0m )\n", - "\u001b[0;31mCfisError\u001b[0m: No entries in file name list" + "name": "stdout", + "output_type": "stream", + "text": [ + "32627 image files found in input file '/home/mkilbing/astro/repositories/github/shapepipe/auxdir/CFIS/tiles_202205/tiles_u.txt'\n", + "13163 image files found in input file '/home/mkilbing/astro/repositories/github/shapepipe/auxdir/CFIS/tiles_202205/tiles_g.txt'\n", + "18754 image files found in input file '/home/mkilbing/astro/repositories/github/shapepipe/auxdir/CFIS/tiles_202205/tiles_r.txt'\n", + "22168 image files found in input file '/home/mkilbing/astro/repositories/github/shapepipe/auxdir/CFIS/tiles_202205/tiles_i.txt'\n", + "1080 image files found in input file '/home/mkilbing/astro/repositories/github/shapepipe/auxdir/CFIS/tiles_202205/tiles_z.txt'\n" ] } ], @@ -482,15 +433,15 @@ "# Variables\n", "unit = 'deg'\n", "image_type = 'tile'\n", - "bands = ['u', 'r', 'i', 'z']\n", - "colors = ['b', 'r', 'darkred', 'm']\n", + "bands = ['u', 'g', 'r', 'i', 'z']\n", + "colors = ['b', 'g', 'r', 'darkred', 'm']\n", "\n", "# Padding around search area in plot\n", "d = 0.5\n", "\n", "# Input tiles ID files\n", "sp_home = '{}/astro/repositories/github/shapepipe'.format(os.environ['HOME'])\n", - "tiles_dir = '{}/aux/CFIS/tiles_202011'.format(sp_home)\n", + "tiles_dir = '{}/auxdir/CFIS/tiles_202205'.format(sp_home)\n", "tiles_ID = {}\n", "for band in bands:\n", " tiles_ID[band] = '{}/tiles_{}.txt'.format(tiles_dir, band)\n", @@ -515,9 +466,37 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 19, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3DHST-AEGIS\n", + " 214.08deg_52.18deg_215.81deg_53.61deg\n", + " 6 u-band images in overlap area found\n", + " 0 g-band images in overlap area found\n", + " 6 r-band images in overlap area found\n", + " 6 i-band images in overlap area found\n", + " 0 z-band images in overlap area found\n", + "3DHST-GOODS-N\n", + " 188.42deg_61.59deg_190.06deg_62.89deg\n", + " 3 u-band images in overlap area found\n", + " 0 g-band images in overlap area found\n", + " 1 r-band images in overlap area found\n", + " 3 i-band images in overlap area found\n", + " 0 z-band images in overlap area found\n", + "GOODS-N\n", + " 188.40deg_61.58deg_190.06deg_62.89deg\n", + " 4 u-band images in overlap area found\n", + " 0 g-band images in overlap area found\n", + " 1 r-band images in overlap area found\n", + " 4 i-band images in overlap area found\n", + " 0 z-band images in overlap area found\n" + ] + } + ], "source": [ "import imp\n", "imp.reload(cfis)\n", @@ -559,9 +538,19 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 28, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3DHST-AEGIS: 6 common tiles in uri\n", + "3DHST-GOODS-N: 1 common tiles in uri\n", + "GOODS-N: 1 common tiles in uri\n" + ] + } + ], "source": [ "ID = {}\n", "for s in surveys:\n", @@ -607,9 +596,97 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 52, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3DHST-AEGIS\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages/skymapper/map.py:198: UserWarning: Matplotlib is currently using module://matplotlib_inline.backend_inline, which is a non-GUI backend, so cannot show the figure.\n", + " self.fig.show()\n", + "/home/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages/skymapper/projection.py:464: RuntimeWarning: invalid value encountered in arcsin\n", + " lat = np.arcsin((self.C - (rho * self.n)**2)/(2*self.n)) / DEG2RAD\n" + ] + }, + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3DHST-GOODS-N\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages/skymapper/map.py:198: UserWarning: Matplotlib is currently using module://matplotlib_inline.backend_inline, which is a non-GUI backend, so cannot show the figure.\n", + " self.fig.show()\n", + "/home/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages/skymapper/projection.py:464: RuntimeWarning: invalid value encountered in arcsin\n", + " lat = np.arcsin((self.C - (rho * self.n)**2)/(2*self.n)) / DEG2RAD\n" + ] + }, + { + "data": { + "image/png": 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22UxIdaAgGCSx++7sOuccJi9ZAmY0fPnLlP3971Q/+CDW0UHzwoUkJ05kx0UXAVD18MPeIIk+kYzFMLWFSQloJAkpmu5ys3PV1dRndKCoT3WgAGj4yld6bbPzwgsB2H7ZZT2Wx/bZh23XXOPt1wGzZtM+//Cum4PO0ZICAWj+2MdIJCCQ+r8M9w1E3hJUHyfPcOddRj8FKJEMdXUhbrmllmjUuP76bVx88WTM4Nlny1mxYjOPPFLNhg1hamqSfPObO5k8uXt8vosvnkxHhzFuXJLLL9/O2rVhbrutFoAvf7mB8nLHF784lXnz2jnmmFZOOql7xAnnui/6icTQFLSS8XjuABWPQySSc1vd/MhgUxvUKKe73OLNmBHn6qvrcc77411xRT2LF9ez774xZs2KE4k4yssd5eVJqqt7zmeydGk911yzjVjM2/aXv6zhyivr+dGP6rnrrhqCQcekSQmSSZg+ved0xw8+WMWTT3pVjBdeuNsQfFJw8TiBHFV8FoupK7wMK519IgX44x8rOeGEFgC++tUGAJ54Yhy/+U0VZ53V1JVuw4Yw1147galTvVJVa6tRVua6Xk+bluCeezbR0QHf+Mbu/OxnW0gkup/nDaRuGYeqmSrZ0UGgrCzrOovHcaEQuseRQmioIylatvNFvfgKk/63e/TRSk49taXH+traBK2tPb9Cs2fHWL58K4kEbNkSpLo6SVOT0dgYYPx4r7SVSHiBKBRy7NgR4KqrJvHww1WUlTmiUSOR8ILZUMhbxReL4UKhrBed9OpIkcGiEpRIhqYm48c/nsTLL0e4/fYaFi5spqYmSUWFd6G+9dZaNm0KsnNnkMWL69m8Ocj994/n7LMbufnmCYAXgHbfPcG55+7iRz+ajHNeG9Tf/17GypXVRKPGwoXNTJyY5OKLtwOwdWuQa66ZyJtvhrtKUoMtGYvlr+LL0QYVj0MwqEYoGVw24iZXK8Bxxx3nVqxYMdzZKKltq1YxZcGCrOvKV62iPce6VavKWbCgvceyhoYGamtrS51FGYF2rllD9Zw5hCore60Lvf02zS0tBGfPJpxRymptNf797wgHHxwdqqyKz7W3t+OcoyLHc35z5sx51Dl3WjH7VBXfKDcK7z+khJLxeO7noFJVfNnE40YopJNLug1Gs4EClMgYlu85KMsToLwOfgpQMrgUoEYKM1wy2Xe63puJ5OYclqPBy+JxyBG8YjHLtUqkZBSgRohAKISLx/tOmEFVfNJfnd3Ms4nHjXBYJ5f0pG7mY5SFQiT7EaBE+q2jA5ezBKUqPhl8ObuZm9muPrY1YJNzbr/SZkmyCYRCuESi74QiJWLxeM6RJGIx6zWKhkip5XsOar1z7rB8G5vZ6hLnR3KwUIhkLFb8dmqDkv7K8zRuPG75hukTKYl8VXyfLGD7QtJICfS3BKU2KBkM6mYumYZ0qCPn3Ia+Ni4kjZRGf0tQIoNBbVAyFPoc6sjMmoDMM7ER+DvwHQWpodHfXnyq4pPBoG7mMhQKGYvvOuBd4D68jhGfAaYCa4E7gWMHK3PSzUIhEh0dRW+nKj4ZLLr5kUylruIrJECd7Jw7Iu39bWa2yjm3xMx+WNLcSE6BUAiXr4pPw0v7VnOzVyVWVQU33ljD/PkdPP10OUcd1cb991czdWqcJUt2Dnc2RQZkuKZ8T5rZp4HfpN5/Km2d7s+HSL7noFwo5M3hoMnlfCGZhBNP3JNdu4zGxiDxuAGOcDhBLNb9P7rrrhpIzba0cGEL73tf8SVkkdGskAd1zwLOAbYCW1KvzzazCuBrg5g3SZO3DSoU8p5ZEV8IBGDr1gDbt4fo7nhpPYJT57JO5523x1BlryiaN0yGU58Byjm3wTm30Dk32Tk3JfX63865Nufc00ORSemjBBUMenVI4hvf+c4OoPA2wPb2AN/73kQSie5tYjF45pkIt95aM0i57D/FLck0GN3MC+nFtx9wK7C7c+5AMzsY+A/n3BUlzckY5Trn+4au39nuWvM+BxUOY4mE6luHWGazXywGra0BamqSTJ+eoLIyRktLZlc3BzkmUV+5soaVK2sARyAAyaQRCDjM4LzzGjEzysv98V9W55vCOee6/2DOdV/E05b3WNbXNpnp+9omx3Ez95kvf+P22mtYStOFNFrcDnwP+DmAc26Nmd0HKECVwLo772TiIYdkP1kyNLzyCjv/+c9ey4P19biKCpJZJp1reTPMutd6lq6a2tqozpxUrPO4hZyE2dIWuqwUBmu/BRy2sTFAeYXjluW1tLYFCFgSMGbOjLFpU5C29iCdTbOHdd0yGN1ByWW8Jvu6zlGEkt6yCw5OkkgGGFeR4OxzdvG/q8s57vhWAoGef4aGV1/FzKg54IDcHwK6b4aCwZzpIq++SkM0SjgUIpzRvhl9NcI2OnruL/P/kmvdYKZL//6UOl26fOsy06W97rrIm3X/D9LTdabpR7oe++46ZJY06e/T85l+g5z207R+PeGaGiI1Q1+SLyRAjXPOvZARPdXgUSITDjqIye9/f0Fpc82oG9q4EVdeTmKP3u0Y9c+Vs++RmlG3vz796am8/nqYlpZg6pqUEUxS16gnN5biaHmCV2fAaoM/3Oalu/Zv3u+qqgTBoFfKWvOPv3PVVTuomXfEgIciKgdCBx9MOBwmkrGzMsqZkjFTs4xOHQ0NuW9kBlkhAarezOaQ+saY2aeATYOaKylOqopPSu+Tn2ziooumAEYolCAW6/yi9lV6y12Vl5ulbdf5Ot9+vd/NzV6ebrxxArOJcOZZe/BO2Qyi0QBTp8b45CebOfXUFioqHDNm6DyR4rhEgkABPYSHq5v5BcBtwP5m9g6wETi75DmRfnOhENbWlnWdGrOLF40aZ565Oy+/XE4w6Bg3LklLi6UFp0zZglG2Kr1itst8nW9Z72NGo15V4+bNYX7+8wksXz6xa92cOR3st18HN99cn2dfIh4Xj/u3BJUayugEM6sEAs65psHPlhQlFMpZgups51SgKkwyCcuX1/LSS14bXTxuRKMQDjvi8c4G5MzOr/mCUXqpqOfvQMCRTA7ePyYYdCQSRuZEzOvXl7F5c0jnhRTEJRL+C1Bm9u0cywFwzl03SHmSIrlQiNBbb/WcXC71fxq/vRx7I+o9w5taFtq1i1BLS/f2ua5SGQ28vV73tZ6MSqpS7K9EeV29OsycOXHq3gqz774xGhoCnPufU6mri7DHHnHCdNAZSByGi4FXJjE6G4S8z2apZZ1p0z+5pf30rpobzOAEjkTCC6SBQIJksucFpqUlyD77zOIzn2lg6dLiR7FQYBs7nHNYoO9HZoe6m3l16vdc4H3Ab1PvFwJPljQXMiDJmho65s7ttdycIxg2Ei5IyNJuo52j67baue57/ozuppmve1yT+khb8Ou0vJZ63+mfyzmvw4NX0PTWREJxYvEAoaA3EMcktjMJh20Cr7uJS4Wczl5Uju6wRNqy/K+zl6wye/CVxiRewmHslb4wT5emhdX1lK/K/gxdYuLErMtB3cxlaOQMUM65ywHM7A/AvM6qPTO7DHhgSHInhTEjMW1a1lUd2yO07RYjWNV9RYlXVREfg734ViVn9gwvnRfufvUb6E8niIEo7HizU783cGyefXT+TnLHD96kPd9u00raIkOtkKGOZgDpg4R1ADMHJTdScuEwqbHg5A9/eJPCg0q2IkKSwko+LuP3QKUHloHug7R9Bdh//7154IFK6uuN7du7Lwdr13ZXCba0GPG4Sk0y9Arpxfcr4AUzewjvrP44cPeg5kpKJhh0aJg+2L49wOc/n228u8xSRadsHR8KuZ9L37ZUNwal2F/2bePxAIsWTelKU1aWZMaMGOvWlQEwblwjiUQZ0Wg5l15az3/+p/pISXbDMtSRc26pmf03cHRq0eecc6tLmgsZNCpBec45Zyp1dZ2dSDJHeHBEIkk6OjrfQ++glaSsDKLRQoNUf5Sq2jBbe1dh3dmj0UBXcAJobQ3SGZg/8AE9mCtDq6D5GZxzLwIvDnJepAi//30ltbV9N55s3x5g3boI48d3d5Joa0tQUTE+74hBwzSaUI/jZ+uM15mv9E5FmR31zFyvdZ/+dBNvvRXi9dcjvPhiGaFQ58XXS9vRka0bbc8HZ6PRAX6oPpXij52ks79hqUty991XxXHHteEcvPlmmIkTvfOve5QuSx8KrsdPdzrLujz9ffq+MtOp9+DQi74apsyV95nOOUdra5TKSi9tY2OAY49to6ys/6WqfN3MX3TOzcu3cSFpZHDU1iZYUPBQM6093jU0NFFbOzzPNfRHZq1BlrEsu36nP/OTzOi4mJm+ri5INBqgsTHApZdO5t13O0tYnVfBBN3VeulXxs6Lf4LewaBX7rOsS1J4dWGxpapAP7bJPE4i9bpzX976cDhBNOrYsSPIoYe287vfVXDEEe3sv388fei2jGHkXNfr7mW904LLsX1mOhlq2+goaFgr5xyNje3U1npp16wpY6AD3OQrQR1gZmvyrDegZmCHF+lb5sWpVBer9743QWcXvqeeeqdr+YUXTuJ3v6vGuSBz57bz7rshmpqC9C6RFDLsUfq6zsA0mNWEnYoNUulpA/T+rMYdd0zkjjt6ts0tXw7r128cWFZlVMgc6ige99rAByJfgNq/gO01sJeMOjfcsJ0bbthOezuUp2o27ruvkksu2W2Ae+5PYOpPNB5oBE+v2nQZy3sKhZK9lokAJBI24Em+8z0H9ebAdi0yspWnVbuvXl2RO2FJZHZfz9W7sFD5ti3mIeFc1ZPe8spKdRGV7BKJnm3F/TEUdQ0iI95ZZzWmXuWrshhIdUZ6D0LoXcVWjPQAlC1PmcfKlZ9sx++5z8bGMO997wyuvbaGjg5EehhodbwClEgBDj00xh//+Bbr1r3BbrvF6HnhH5xhi/ovV7VcMQE018PGvQNpe3uAW26ZyAEHzOLUU6cWcQwZzUrRVpwzQJnZPmZ2VJblR6fmhxIZU2bNihMIwNatYcDSurMX8k0cmmEYEkQIdo3hVIpjFlcN+Prr5USjfgnUMtLlK0HdAGR7bLwttU5kTFq0aCvTpnUwaVKSior0fkL5AsLQXLQThLCu6XfzPZzbl2wlr+yfLxhMsvvuMU45pYm1a98Y0HMvIuny9bGY6Zzr1c3cOfd3M5s5eFkS8bfzz2/h/PO7B1FtaAhw553VPPtsOQ0NQTZuLKNnB4VSjRDR936SRAh2DZ2Zmb57kNi+26H6Gn3CEw4n+NOf3mH6dHXoldLLF6DyPTo82F2apA8auNM/amuTfPvbjXz72409lr/1VpDbbx/P1KkJbrxxAvH4QJt8+wpyjjgRAj3m18g2okRmPgoLRgAzZsTYbbcYr74aoaoqyZNPvkP6NGQinUpxjcoXoP5mZuc7525PX2hmnwf+MfBDi4xue+2VYMmSnQB89au7eOKJMs4/P/u0KP3Te4DbJOG0NqhCR7foO/ABfOUrO/nudxv6kU+R/skXoC4EHjKzs+gOSIcDEbwRzWUYaeiXkWf//TOfGRpo1V/vbeNEsD6fn+9f1d4ZZ+wqJnMiA5bvQd0twAfM7MPAganFjzrnnhiSnElequLryTnXNdSKSw26lzlNtUskuqav7lyXTM1FEkh75D0Zi2HBYI/tXTIJZr2GcylGTU2SY45p4cknx6WWePsyc2n/z0JKM7lHK/dKULEc6QqRfZvq6gQzZoy+USNa33mH15cvJ97czPtvuomXFi/GOce2Z5/lyNtuY+eaNWx/8UXat2yhet99OfC73+3advUll5BoayM8fjyHXHopLXV1vHbzzZBIsP/Xv07VzJkArPrqV5l67LHM/PSnu7bd8uSThGtrmXjwwUP9kYs3jHfD+QaLPc4594Rz7s9m9oZzbmPauk8451YOTRZFurXU1fH6LbeQjEZ53/XXs/rii8GMrc88w1F33knTxo3UrVyJBQLsfcYZ7P7BD3Ztu/rSS0nGYgTLyzlsyRIaX3+df91+O2bGvuefT83cuSSiUZ770peYduKJzD7zzK5t3338cconT2bS/Pn9zntlpeMXv9hKa6vR3g6xmBEOO6qrHa++GuHhhyv5xjcaeOGFCu69t5JYDF54oYq+RybvXtbdBlXoKBTdaU46qYl99umgtjZBS0uQyZOTtLU1M39+kkMOGZ2PTI6bPp15V17JC9/8JgCHXn45yXic5y+4gOrZs6mePZu9Tj+df151FTNOP73HtodedhkWDPKP//N/AFh3550ctGgRAK/ddBOHXnYZG+67j0mHH04yFuuxbXt9/RB8upEvXxXfT4DOkcofTHsNcDGgADWMxmoVX+WMGcy/+mpeuPBCAA674gqS8TgvpO5Y33zwQQ78wQ8IhMOs/9WvegSoeUuX4pzzghqw/pe/ZP7VV5OMx1nzox8x78or2XDvvex5yim9Jl6LNzcTHzeOUhg3zuHtqvsYhxzSwSGHeL3vTjqplZNO8kagP+WUMGvXlmXsIXfg6S5BQfYg1f1+/Pg406YlOPPMXcycGScYpNcI+a2trQSDQSAzD6NM2hdq8xNPMPW447rXOUdLXR3j9923xyYtdXW8ct11lE+eDECssZGyiRO7Xjdt3IiLxZh4yCE0bdgw+J9hFMp3W5SvFXWMXh79Q1V83TY9/jh7HH88AHuccAL/+P73+du3vsVeCxf2SNe0YQPPf+1rhCq8TqiJtjYC4TChigoSbW00vv464N1Vd97xJjs6uqoBh+Ou4KCDWsk+mkN2vdugOoNUz+GPzJLst1+cRx99l7POaiYY1DnV6a3/+i/2PPXUrvfvpp1f6apmzeKIn/4U5xxtW7cSLC8nEY2S7OggWF7O5j//mYbXXmPdihXUPfQQ0e3b+eeVV/LmytS9/Vi9yyxCvhJUtrFccr0XGVppV9O3H3uMw6+5BoB/33EHR997Ly4e5+/f+x7vv+EGXDKJBQJUzZrFguXLeemyy2jbsoXw+PF0NDbikknCNTXUP/88zW+8Qf3zzxNramLPj36UtT/7GbXveY93vOTQt8E8/HBt1+uKigQnn9zMQw9lznLTHXyShAn06iThPftUXR2npSVEMmkEAsYbbwxwqOlRINbUxMvXXMPONWv41+23s9fChYSrqwlXVXWleeu3v+06v9q2bGHjr3/N7LPP5vWbb8YCAVwiQfmUKcw+91xWX3IJOMc+n/sc4/fbD5JJtj73HM0bNlA2aRLv+c53sECAuocewsU10G5f8p2hs83st3hnd+drUu9nDXrOJK+xevMVa2ri5WXLaHjlFdatWMGep51GpLaWYGro8Wknnsg/fvADcI49jjuOts2b2Xj//V0XFPA6RFTsvjtzzj2XNUuXArD/V75C1SzvtN7+4os0b9xI2aRJHHzRRQDUPfIIFhz6SR7XrHmDLVsCPPBANSee2MZBB3WwYEEHc+dG2WuvBFVVSV56KcIPfziJ9evLSRIkQJzq6iShUJLLL6/nt7+t4vOfb6SsDHbsCDJrVoyKis6Hdce2cHU1hy1Z0mPZvCuv7PH+iJtv7uocU7H77hzwjW9ggQAHp6qKLdV5pvaAA5i3dCk4RyAS6dp+6oc+hDv6aACCZV5V6YxPfGJAHW7GCsusa+9aYfahfBs65/46KDkqgeOOO86tWLFiuLNRkG2rVjFlwYKit1u1qryIGXV7amhooLa2tl/bij8lk/CXv1Tw0MpKFsRu5Kyfn1XU9qtWleMcHHlk9jaosrJR3gYlOW17/nmmHHFEQWnTry2Z16g5c+Y86pw7rZhj5+tm3hWAzGxKatm2YnYuIkMjEIDjjmvj2A82svF+DTskw2+wRzM3M1tsZvXA68C/zGybmV068MOKyGBIxuP9qooMBNRJQkqrFOdTvl58FwIfBN7nnJvknJsAHAEcZWbfGvihRaTU+hugQiFHIqE2EfGXfAHqXOCz6Q/oOuc2AGen1kmJ5GoHFClWsqMDCxXfOy8cdqhTmfhNvgAVds71etw51Q41rOMXm9lHzWypmY34x9stGByW7svSW2qEpF6SSe8nfV0i4f2ki8eHv5rM9bMEFQ5DPN67BKWeZjKcJ3W+W62Ofq4rmJnVAivwxvpzwP8HvA38EpiKN3HNbc65GzM2PQZ4HjgSeKYUeRkugVCIZDyeelpfBktdXYhbbqmlvT3ADTds5eKLJ2MGzzxTwZ13bmLjxjArV1YTCMAZZzTxwQ+2dW17ySWTicWM8vIkS5ZsZ+3aMLfdVosZfPGLDey3X4xYDL74xal85CMtnHlm9zyfqSH8MPMCWD8KN0VJxuM9xhUsVDjsegVcye2dd0IsX15Lc3OAm27ayuLFk3AOnn22gttu28KaNWW8+GIZW7aE2HffDr773Z1d215yyWTa2oyamiSXXLKduroQy5dPIJGAr399J3vv7RVlv/a13fjQh9o444xs88aODflKIIeY2a4sP03AQcUcxMyONbO7sqy6Efi9c25/4BDgNSAOfMc5dwCwALjAzN6TsV0COCuVfkSzYFAP7A2BGTPiXH11d4XAFVfUs3hxPXPndjBzZpwXXyznBz/YwQ9/uJ1Vq3pOhbZ0aT3Llm3raqO5++4arrpqG0uW1HP33d5Ds/fcM56TT24h8z7jwQereeopb+SKCy/cbRA/ocelBrotlqr4ijN9epwrr6zv6ql2+eXbWbx4O3PmxJg1K8bHPtbM5ZdvZ++9Yyxc2Nxj28WL6/nJT7bR2upt/Itf1PC9721n0aLt3HWXdz7dd181hx0WJRrtWYL93e8qefZZ7/y86KLJg/wph1++buaDektvZuPxSkLnpY7XgVcyawA2pZY1mdlrwHTg1bS8XTyYeRtKFgqR7Met63BXJY0Gjz9eyfHHezPjfuQjrXz/+1MA7wKSbsOGMNdeO4GpU73/U1ubEYlAJOJobTXWrvVqvPfaK8bGjd7reNwrNQUCritoDXbpCQbWSSJbFZ/kl14D+sQT4zjuuNYey956K8zcuT0Hin3rrRDXXTeRSZO886mhIcDkycmu1xs3hojFjEMPbWfDhkiPbaNRo6PDO8CuXSO+haNPwznWyWxgG/ALMzsEb86pbzrnuubSTk0tfxhedV7BYrEYDQ0NpcvpINrV2kp0+3bKimyHam4uo6Eh2mt5Z5uBZZkaovN9a2sr4XA4a9pc2+RLm2tbP0oP7I89VsmPf+w92rdiRQ333ruJeBy+//0pXH/9NpzzLkCzZsVYvnwrl102iS1bgowfn6SpyUgkjPHjkzz3XAUbNkRYtaqCpqYAJ5/cws9+VssBB3RQVuZoazPicWhpGfy/TzIW61cnCa8p1P//v1Lo7JTknOvxOt/vXOvi8RZaWrxL1sqVFVx22Waamrzv8p/+VMGCBZvYtau5xzYTJsCSJfVcc81E1q1rwizAtm0NAJgFeOyxOOvXJ3nqqSC7dnUwf/4u7r67hv3268BsJ9FogoaGdtrawkNynWtsbiZc4HEaG7tnlc51jSrGoAYoM3sebxjkKmCimb2UWvUDYDveCOlfd849b2Y3AouAS1LbVuGNon6hc66omdLC4fCIGSkhOHEiocpKKorMb3V1ObW1vUeSKOTLFwqFCIfDWb98yVSg7O8X1q+am40bb5zAmjXN/PSnSU46qYWKigDR6E6iUTjqqA6+9a0KnIMFC97hX/+KsnJlNWecsYsVK2oBCAZ3Ula2g9NP38XFF4/HDD73uTr23juGmfHSSxHq6iKEwy184xveF7W+PsiNN05k3boA0ExLS0tBAT4z2Bfyd3fO0dzURLSjg+bm5qL+V7t2BWltbaehoaXH8ra2NgKBwKgaSaKQv3u+32ZGc3OA66+fyCuvjONXv5rMqac2U1MTYeLESFfaP/xhd5Yt20ZlZRVbt4b49a/Hc845u1i+fEKqdG3ss0+SL3whxDXX7Itz8PnPN7LffkmSySTPPVfG+vURZs8ez6JFEAiE2bYtxLXXTuDdd6O0tVVSW9uzdDYYYlVVRV1PO9NWVWW/RhUj51BHpWRmxwLnOefOS1s2FVjlnJuZen80sMg5d6qZhYHfAf/jnLuu2OONpKGOmt98k0A4zLhpxU0F/txz5b2GpSmUhjoqvVLelWemgfwl2fQ0O1avJtHWxm5HHVVQqbfT1q0Bnn66gk98YvQHqKGSTHoPQHdKJLySaufUUGbd1b7RKIBRVtbz/965TbqWFiMY9KqRq6oG//pdzHBsQzbU0WBzzm02s7fMbK5zbi1wPPCqed+cO4DX+hOcRppAKIRT96kRzy/VnEEgUFZGOFzckyC5uthL/2VM6NwVaLL9a7z43/sfkK05sbJy7Pyjhnu8/a8D95pZBNgAfA44CjgH+GdaleAPnXOPDU8WB5cFgyQ7iu+1PwKae2Q4ONevIOlto5NKSqcUNzxDEqCcc38B/pJl+UvA4RmLn2YMfVMs9RxUsXS3K6XkVSXppBJ/Gf39FH1OVXziB/G4Za1OEumvQR3NXIaGBYP9KkGpik+y6ueJEYuZSlDiOwpQwywQDverBKUqPsmqnydGLJa9QV5kOClADTMLBnGxwX+WQSSfeNwIhXTXI1kMY3WNAtQws2CwX0MdqYpPSkltUOJHClDDzPo5lamq+CSrfrdBoRKU+I4ClB+oOCSl0s87F5WgxI8UoPxAxSHxAd0nSabhHl9TAWqECgQ0Ea+IDC6XSBAYxqK1AtQIFQxqgjkpnVw3ysM9tqAML5dI9Gv6FihNxZAClB/04yIQDqMJ5kRkULl+ToBZKgpQftCPW41g0KERkkRkMCUHUIIqBQWoESoUUglKhsZwN5TL8HHx+LC2QQ33dBsCxJqb2bZqVVHbtL8Tov6NJPHa4ntKNDY3E6uq6i65qZ1h1OjYuZNIbW3R51P01QhmsI2eU7+0p6aCKY9ESpZH6YdCv6slTpeMxag98MACMthbKS4rClA+MO2EE4repnljiPJyx5Q9iq/nC2tGXclQ5soxgykLes7S3N7uvS8vLx+ObMkYpyq+ESochkRCJR8pDRWixY8UoEaoYNChMWZFZDRTgBqhQiGVoERkdFOAGqFCIXUzl9JRRz3xIwWoESoUcsRiKkGJiP8kk5ryfUwLBlXFJyL+lEh47eQDpQA1QoVCGotPRPwpkSjN9C0KUCOURpIQEb+Kx1WCGtM03YaI+FUiYZRiCD+NJCEiIkVxrvsn/X1HB0Sj0NZmJSlBKUCNYO3txqpVxQ9B09xcRmWlt51GEBDwSuPV1a7X+dTR4V1kIhENdTQYhnI4zGKOVUhas+4f772juTlCdXUZZvDe93bk3rhAClAj2Ic/3Nav7RoaotTWtvedUMa89vYoAOXlupORvjU0dFBbGy3Z/tQGJSIivqQAJSI5acp3GU4KUCIi4ksKUCIi4ksKUCKSl6Z8l+GiACUiIr6kACUiIr6kACUiIr6kACUiIr6kACUiIr6kACUiIr6kACUiIr6kACUiIr6kACUiIr6kACUiIr6kACUiIr6kACUiIr6kACUiIr6kACUiIr6kACUiIr6kACUiIr6kACUiIr6kACUiIr6kACUieWnKdxkuClAiIuJLClAiIuJLClAiIuJLNhrrl83sNWD9cOdDRES6zHHOHVDMBqMyQImIyMinKj4REfElBSgREfElBSgREfElBSjJycw+amZLzUznieSlc0WKUej5opNpFDGzO81sq5m9nLH8m2b2spm9YmYXpi0/2czWmtm/zWxRll0eA/wNOHJwcy5DLc+58q3UefKymf3azMpTy7OeQ2l0roxi/Thfsi5PU9D5ogA1utwFnJy+wMwOBM4H3g8cApxmZvuaWRBYDnwUeA/wWTN7T8b+EsBZwGuDnG8ZenfR+1yZDnwDONw5dyAQBD6T6xzK2J/OldHtLgo/X7Iuz9hfQedLqCRZF19wzj1pZjMzFh8ArHLOtQKY2V+BjwNPAf92zm1ILb8fOB14NW1/Fw9FvmXo5ThXwLsmVJhZDBgHvEvuc+jHafvTuTKKFXm+5Fveub+CzheVoEa/l4FjzGySmY0DTgH2AqYDb6Wlezu1TMYo59w7wE+AOmAT0Oic+wO5zyEZw3KdL3nOo6IpQI1yzrnXgGXA48Dvgf8F4oBlSz6EWROfMbMJeKXoWcA0oNLMzs5zDskYlut8ybW8P8dQgBoDnHN3OOfmOeeOAXYA6/BKTOl3wXuSUQyXMecEYKNzbptzLgasBD4AOc8hGdtynS85z6NiKUCNAWa2W+r3DOATwK/xetDsa2azzCyC14j52+HLpfhAHbDAzMaZmQHHk2rEznEOydiW63zJeR4VS50kRhEz+zVwLDDZzN4GFjvn7gAeNLNJQAy4wDm3M5X+a8D/4PWyudM598rw5FyGWq5zxcx+A7yIV4W3GrgttUnWc0jGhmLOF+dcNM95VNxxNVisiIj4kar4RETElxSgRETElxSgRETElxSgRETElxSgRETElxSgRAbAzBJm9lJq1Ob/MrPaPGlvNLN3CpmSwsyONbNGM3ssx/q7zOxT/czz0Wb2aubI1CJ+owAlMjBtzrlDU6M27wAuyJYoFZQ+jjf+4TEF7vsp59wppclmN+fcU3jj6Yn4mgKUSOk8R+4Bdz+MN+jqrcBni92xeW5OlXweBXZLWzffzP5qZv8ws/8xsz1Sy99nZmvM7Dkzu0YlJhlpFKBESiA1v9bx5B4u6rN4wwM9hDefUrjIQ3wcmAschDc30wdSxw0DPwU+5ZybD9wJLE1t8wvgy865I/Hm3xEZURSgRAamwsxeArYDE/FG/O4hNdbhKcDDzrldwPPAiUUe5xjg1865hHPuXeCJ1PK5wIHA46l8XAzsmWoLq3bOPZtKd1+RxxMZdhqLT2Rg2pxzh5pZDfA7vDaomzLSnAzUAP/0xs5kHNAKPFrksbKNS2bAK6lSUvdCb8oDkRFNJSiREnDONeJNc/3dLNV3nwW+4Jyb6ZybiTdPzompyf8K9STedNrBVBvTh1PL1wJTzOxI8Kr8zOy9qcFcm8xsQSpd5pTbIr6nEpRIiTjnVpvZ/+IFkkbgcOBq4CTgS2npWszsaWChmbUBhzvnLu1j9w8BxwH/BP4F/DW1r45Ud/ObUqW4EHAD8ArweeB2M2sB/gI0luqzigwFjWYu4kNmdizwXefcaQPYR5Vzrjn1ehGwh3Pum6n3M4HfpbrHi/iSqvhE/KkDODDXg7oFOrXzIWLgaOAK8B7UBf4LqB94NkUGj0pQIiLiSypBiYiILylAiYiILylAiYiILylAiYiILylAiYiILylAiYiIL/3/4LXjIErMo7YAAAAASUVORK5CYII=\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "GOODS-N\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages/skymapper/map.py:198: UserWarning: Matplotlib is currently using module://matplotlib_inline.backend_inline, which is a non-GUI backend, so cannot show the figure.\n", + " self.fig.show()\n", + "/home/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages/skymapper/projection.py:464: RuntimeWarning: invalid value encountered in arcsin\n", + " lat = np.arcsin((self.C - (rho * self.n)**2)/(2*self.n)) / DEG2RAD\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "# Image size\n", "size = cfis.size[image_type] / 2\n", @@ -678,6 +755,16 @@ " map.plot(cx, cy, '-', color=color, linewidth=lw)\n", "\n", " dxy = dxy + 0.05\n", + " \n", + " # Image IDs\n", + " dxy = 0\n", + " for band, color in zip(bands, colors):\n", + " nimg = len(images_overlap[s.name][band])\n", + " if nimg > 0 and nimg < n_tiles_thres:\n", + " for i, img in enumerate(images_overlap[s.name][band]):\n", + " text = f'{img.get_ID()}-{band}'\n", + " map.text(img.ra.value + dxy, img.dec.value + dxy, text, fontsize='x-small', color=color, ma='center')\n", + " dxy = dxy + 0.05\n", "\n", " # Spectroscopic objects\n", " if len(s._ra > n_sp_max):\n", @@ -693,8 +780,10 @@ " map.grid(sep=sep)\n", " \n", " #ra_min_max = ra_all.min(), ra_all.max()\n", - " ra_min_max = s._min_ra, s._max_ra\n", - " dec_min_max = dec_all.min(), dec_all.max()\n", + " dra = 0.25 / np.cos(lat_0 / 180 * np.pi)\n", + " ddec = 0.25\n", + " ra_min_max = s._min_ra - dra, s._max_ra + dra\n", + " dec_min_max = dec_all.min() - ddec, dec_all.max() + ddec\n", "\n", " map.ax.set_xlabel('R.A. [deg]')\n", " map.ax.set_ylabel('DEC [deg]')\n", @@ -706,6 +795,26 @@ " plt.show()" ] }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'000.180'" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "images['u'][1].get_ID()" + ] + }, { "cell_type": "code", "execution_count": null, diff --git a/scripts/sh/job_sp.bash b/scripts/sh/job_sp.bash index 6cbb687e7..e677ad110 100755 --- a/scripts/sh/job_sp.bash +++ b/scripts/sh/job_sp.bash @@ -117,6 +117,7 @@ while [ $# -gt 0 ]; do shift done + ## Check options if [ "$psf" != "psfex" ] && [ "$psf" != "mccd" ]; then echo "PSF (option -p) needs to be 'psfex' or 'mccd'" @@ -145,8 +146,8 @@ export PATH="$PATH:$VM_HOME/bin" export SP_RUN=`pwd` # Config file path -export SP_CONFIG=$SP_RUN/cfis -export SP_CONFIG_MOD=$SP_RUN/cfis_mod +export SP_CONFIG=$SP_RUN/config_dir +export SP_CONFIG_MOD=$SP_RUN/config_dir_mod ## Other variables @@ -300,8 +301,8 @@ if [[ $do_job != 0 ]]; then if [[ $config_dir == *"vos:"* ]]; then command_sp "$VCP $config_dir ." "Retrieve shapepipe config files" else - if [[ ! -L cfis ]]; then - command_sp "ln -s $config_dir cfis" "Retrieve shapepipe config files" + if [[ ! -L config_dir ]]; then + command_sp "ln -s $config_dir config_dir" "Retrieve shapepipe config files" fi fi diff --git a/shapepipe/modules/get_images_package/__init__.py b/shapepipe/modules/get_images_package/__init__.py index 8544168ab..7fe1e0f7d 100644 --- a/shapepipe/modules/get_images_package/__init__.py +++ b/shapepipe/modules/get_images_package/__init__.py @@ -44,8 +44,8 @@ INPUT_NUMBERING : str Input numbering scheme, python regexp CHECK_EXISTING_DIR : str, optional - If given, check this directory for existing images, which will then not be - downloaded + If given, check this directory including all subdirectories for existing + images, which will then not be downloaded N_EXPECTED : int, optional If ``CHECK_EXISTING_DIR`` is given, this option specifies the number of expected images; the default value is ``1`` From 126a1ebcb8ec4e9994b8aac46504286464db5ec5 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Tue, 24 May 2022 15:57:59 +0200 Subject: [PATCH 005/217] split exp package: Added test to check number of HDUs, can detect not completely downloaded/corrupt image --- example/hst_north/config_Gie_vos.ini | 1 + example/hst_north/config_exp_SpMh.ini | 2 +- example/hst_north/config_tile_Uz.ini | 1 - scripts/sh/post_proc_sp.bash | 2 +- scripts/sh/prepare_tiles_for_final.bash | 117 ------------------ .../modules/get_images_package/__init__.py | 8 ++ .../modules/split_exp_package/split_exp.py | 26 +++- 7 files changed, 35 insertions(+), 122 deletions(-) delete mode 100755 scripts/sh/prepare_tiles_for_final.bash diff --git a/example/hst_north/config_Gie_vos.ini b/example/hst_north/config_Gie_vos.ini index 745a39b7b..53b81bbb7 100644 --- a/example/hst_north/config_Gie_vos.ini +++ b/example/hst_north/config_Gie_vos.ini @@ -100,3 +100,4 @@ N_TRY = 3 # Retrieve command options, optional RETRIEVE_OPTIONS = --certfile=$VM_HOME/.ssl/cadcproxy.pem +CHECK_EXISTING_DIR = $SP_RUN/output diff --git a/example/hst_north/config_exp_SpMh.ini b/example/hst_north/config_exp_SpMh.ini index c5057ac1c..50f99cf8d 100644 --- a/example/hst_north/config_exp_SpMh.ini +++ b/example/hst_north/config_exp_SpMh.ini @@ -45,7 +45,7 @@ OUTPUT_DIR = $SP_RUN/output [JOB] # Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial -SMP_BATCH_SIZE = 4 +SMP_BATCH_SIZE = 6 # Timeout value (optional), default is None, i.e. no timeout limit applied TIMEOUT = 96:00:00 diff --git a/example/hst_north/config_tile_Uz.ini b/example/hst_north/config_tile_Uz.ini index aef899d0f..f961d2917 100644 --- a/example/hst_north/config_tile_Uz.ini +++ b/example/hst_north/config_tile_Uz.ini @@ -54,7 +54,6 @@ TIMEOUT = 96:00:00 [UNCOMPRESS_FITS_RUNNER] INPUT_DIR = last:get_images_runner_run_1 -#INPUT_MODULE = get_images_runner_run_1 FILE_PATTERN = CFIS_weight diff --git a/scripts/sh/post_proc_sp.bash b/scripts/sh/post_proc_sp.bash index fe61d842d..cfc407161 100755 --- a/scripts/sh/post_proc_sp.bash +++ b/scripts/sh/post_proc_sp.bash @@ -79,7 +79,7 @@ shapepipe_run -c $SP_CONFIG/config_MsPl_$psf.ini # Galaxies ## Prepare output directory with links to all 'final_cat' result files -prepare_tiles_for_final +combine_run_results ## Merge final output files to single mother catalog input_final=output/run_sp_combined/make_catalog_runner/output diff --git a/scripts/sh/prepare_tiles_for_final.bash b/scripts/sh/prepare_tiles_for_final.bash deleted file mode 100755 index 027a62b1f..000000000 --- a/scripts/sh/prepare_tiles_for_final.bash +++ /dev/null @@ -1,117 +0,0 @@ -#!/usr/bin/env bash - -# Name: prepare_tiles_for_final.bash -# Description: Create shapepipe run directory with -# links to all `final_cat` fits files -# Author: Martin Kilbinger -# Date: 06/2020 -# Version: 0.1 - -# Command line arguments - -## Default values -cat='final' - -## Help string -usage="Usage: $(basename "$0") [OPTIONS] -\n\nOptions:\n - -h\tthis message\n - -c, --cat TYPE\n - \tCatalogue type, one in ['final'|'flag'], default='$cat'\n -" - -## Parse command line -while [ $# -gt 0 ]; do - case "$1" in - -h) - echo -ne $usage - exit 0 - ;; - -c|--cat) - cat="$2" - shift - ;; - *) - echo -ne $usage - exit 1 - ;; - esac - shift -done - - -## Functions -function link_s () { - target=$1 - link_name=$2 - - if [ -e "$link_name" ]; then - echo "link with name $link_name already exists, skipping..." - else - echo "create link $target <- $link_name" - ln -s $target $link_name - fi -} - -## Check options -if [ "$cat" != "final" ] && [ "$cat" != "flag" ]; then - echo "cat (option -c) needs to be 'final' or 'flag'" - exit 2 -fi - - -### Start ### - -pwd=`pwd` -out_base="output" - -if [ "$cat" == "final" ]; then - run_dir="run_sp_combined" - INPUT="$pwd/$out_base/run_sp_Mc_*" -else - run_dir="run_sp_combined_flag" - INPUT="$pwd/$out_base/run_sp_tile_Ma_*" -fi - -log_path="$pwd/$out_base/log_run_sp.txt" -OUTPUT="$pwd/$out_base/$run_dir" -mkdir -p $OUTPUT - -# Directories and file patterns to create/link -if [ "$cat" == "final" ]; then - DIRS=( - "make_catalog_runner" - ) - PATTERNS=( - "final_cat-*" - ) -else - DIRS=( - "mask_runner" - ) - PATTERNS=( - "pipeline_flag-*" - ) -fi - -# Create links -for n in "${!PATTERNS[@]}"; do - pattern=${PATTERNS[$n]} - dir=$OUTPUT/${DIRS[$n]}/output - echo $n $pattern $dir - mkdir -p $dir - FILES=(`find $INPUT -name "$pattern"`) - n_files=${#FILES[@]} - i=0 - for file in ${FILES[@]}; do - target=$file - link_name=$dir/`basename $file` - link_s $target $link_name - ((i=i+1)) - done - echo " $n_files target files, $i links created/skipped" -done - -# Update log file -modules=`echo ${DIRS[@]} | tr ' ' ,` -echo "./$out_base/$run_dir $modules" >> $log_path diff --git a/shapepipe/modules/get_images_package/__init__.py b/shapepipe/modules/get_images_package/__init__.py index 7fe1e0f7d..10def7a5b 100644 --- a/shapepipe/modules/get_images_package/__init__.py +++ b/shapepipe/modules/get_images_package/__init__.py @@ -23,6 +23,14 @@ ``NUMBERING_SCHEME`` are used. For (2), additional config entries are to be specified, see below. +For the retrieval of images in ``vos`` mode, failure and incomplete download +is not uncommon. In that case, use the config entry ``CHECK_EXISTING_DIR`` +to prevent multiple downloads of the same image, see below. + +To combine the results of multiple calls to this module, use the +script ``combine_run_results``. This script also updates the pipeline +run log file to allow for consistent use of subsequent module calls. + Module-specific config file entries =================================== diff --git a/shapepipe/modules/split_exp_package/split_exp.py b/shapepipe/modules/split_exp_package/split_exp.py index 2dd1a5875..c99ececde 100644 --- a/shapepipe/modules/split_exp_package/split_exp.py +++ b/shapepipe/modules/split_exp_package/split_exp.py @@ -100,29 +100,50 @@ def create_hdus( Save WCS information if ``True`` """ + # Initialise array to store headers of all HDUs header_file = np.zeros(self._n_hdu, dtype='O') + hdu_list = fits.open(exp_path) + + # Check completeness of HDUs + if len(hdu_list) <= self._n_hdu: + raise TypeError( + f'Only {len(hdu_list)} out of requested {self._n_hdu} HDUs ' + + f'found in image {exp_path}. File might be corrupt or not ' + 'completely downloaded.' + ) + + # Loop over HDUs = CCDs for idx in range(1, self._n_hdu + 1): - h = fits.getheader(exp_path, idx) + # Get HDU header + h = hdu_list[idx].header + + # Transform between astrometry systems if requested if transf_coord: stp.pv_to_sip(h) - d = fits.getdata(exp_path, idx) + # Get CCD image data + d = hdu_list[idx].data + + # Transform (bool) to int type if requested if transf_int: d = d.astype(np.int16) + # Set output file name file_name = ( f'{self._output_dir}/{output_suffix}' + f'{self._file_number_string}-{str(idx-1)}.fits' ) + # Write HDU to output file new_file = file_io.FITSCatalogue( file_name, open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite ) new_file.save_as_fits(data=d, image=True, image_header=h) + # Save header to array if requested if save_header: try: w = WCS(h) @@ -131,6 +152,7 @@ def create_hdus( raise header_file[idx - 1] = {'WCS': w, 'header': h.tostring()} + # Save header array if requested if save_header: file_name = ( f'{self._output_dir}/headers{self._file_number_string}.npy' From 38e7e42d5e9fe771c45f0e02269110a80c1ede45 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Wed, 25 May 2022 14:30:30 +0200 Subject: [PATCH 006/217] Added (test) cfg files --- example/hst_north/config_tile_ViSmVi.ini | 147 ++++++++ .../hst_north/config_tile_exp_mccd_interp.ini | 321 ++++++++++++++++++ scripts/sh/combine_run_results.bash | 131 +++++++ 3 files changed, 599 insertions(+) create mode 100644 example/hst_north/config_tile_ViSmVi.ini create mode 100644 example/hst_north/config_tile_exp_mccd_interp.ini create mode 100755 scripts/sh/combine_run_results.bash diff --git a/example/hst_north/config_tile_ViSmVi.ini b/example/hst_north/config_tile_ViSmVi.ini new file mode 100644 index 000000000..4bdc5f87a --- /dev/null +++ b/example/hst_north/config_tile_ViSmVi.ini @@ -0,0 +1,147 @@ +# ShapePipe configuration file for tiles, from detection up to shape measurement. +# MCCD PSF model. + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = True + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_MiViSmVi + +# Add date and time to RUN_NAME, optional, default: False +; RUN_DATETIME = False + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = vignetmaker_runner, spread_model_runner, + vignetmaker_runner + +# Parallel processing mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names +INPUT_DIR = . + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 12 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options + +[VIGNETMAKER_RUNNER_RUN_1] + +# Create vignets for tiles weights + +INPUT_DIR = last:sextractor_runner_run_1, last:uncompress_fits_runner + +FILE_PATTERN = sexcat, CFIS_weight + +FILE_EXT = .fits, .fits + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -000-000 + +MASKING = False +MASK_VALUE = 0 + +# Run mode for psfex interpolation: +# CLASSIC: 'classical' run, interpolate to object positions +# MULTI-EPOCH: interpolate for multi-epoch images +# VALIDATION: validation for single-epoch images +MODE = CLASSIC + +# Coordinate frame type, one in PIX (pixel frame), SPHE (spherical coordinates) +COORD = PIX +POSITION_PARAMS = XWIN_IMAGE,YWIN_IMAGE + +# Vignet size in pixels +STAMP_SIZE = 51 + +# Output file name prefix, file name is _vignet.fits +PREFIX = weight + + +[SPREAD_MODEL_RUNNER] + +INPUT_DIR = last:sextractor_runner_run_1, last:mccd_interp_runner, last:vignetmaker_runner_run_1 + +FILE_PATTERN = sexcat, galaxy_psf, weight_vignet + +FILE_EXT = .fits, .sqlite, .fits + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -000-000 + +# Pixel scale in arcsec +PIXEL_SCALE = 0.186 + +# Output mode: +# new: create a new catalog with: [number, mag, sm, sm_err] +# add: create a copy of the input SExtractor with the column sm and sm_err +OUTPUT_MODE = new + + +[VIGNETMAKER_RUNNER_RUN_2] + +# Create multi-epoch vignets for tiles corresponding to +# positions on single-exposures + +INPUT_DIR = last:sextractor_runner_run_1 + +FILE_PATTERN = sexcat + +FILE_EXT = .fits + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -000-000 + +MASKING = False +MASK_VALUE = 0 + +# Run mode for psfex interpolation: +# CLASSIC: 'classical' run, interpolate to object positions +# MULTI-EPOCH: interpolate for multi-epoch images +# VALIDATION: validation for single-epoch images +MODE = MULTI-EPOCH + +# Coordinate frame type, one in PIX (pixel frame), SPHE (spherical coordinates) +COORD = SPHE +POSITION_PARAMS = XWIN_WORLD,YWIN_WORLD + +# Vignet size in pixels +STAMP_SIZE = 51 + +# Output file name prefix, file name is vignet.fits +PREFIX = + +# Additional parameters for path and file pattern corresponding to single-exposure +# run outputs +ME_IMAGE_DIR = split_exp_runner, split_exp_runner, split_exp_runner, sextractor_runner_run_2 +ME_IMAGE_PATTERN = flag, image, weight, background +ME_LOG_WCS = $SP_RUN/output/log_exp_headers.sqlite diff --git a/example/hst_north/config_tile_exp_mccd_interp.ini b/example/hst_north/config_tile_exp_mccd_interp.ini new file mode 100644 index 000000000..1332ed369 --- /dev/null +++ b/example/hst_north/config_tile_exp_mccd_interp.ini @@ -0,0 +1,321 @@ +# ShapePipe configuration file for single-exposures, MCCD PSF model. +# Process exposures after masking, from star detection to PSF model. + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = True + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_exp_mccd_interp + +# Add date and time to RUN_NAME, optional, default: True +; RUN_DATETIME = False + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = mccd_interp_runner + +# Run mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names with length matching FILE_PATTERN +INPUT_DIR = . + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 4 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options + +## Detection on tile +[SEXTRACTOR_RUNNER_RUN_1] + +INPUT_DIR = last:get_images_runner_run_1, last:uncompress_fits_runner, last:mask_runner_run_1 + +FILE_PATTERN = CFIS_image, CFIS_weight, pipeline_flag + +FILE_EXT = .fits, .fits, .fits + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -000-000 + +# SExtractor executable path +EXEC_PATH = sex + +# SExtractor configuration files +DOT_SEX_FILE = $SP_CONFIG/default_tile.sex +DOT_PARAM_FILE = $SP_CONFIG/default.param +DOT_CONV_FILE = $SP_CONFIG/default.conv + +# Use input weight image if True +WEIGHT_IMAGE = True + +# Use input flag image if True +FLAG_IMAGE = True + +# Use input PSF file if True +PSF_FILE = False + +# Use distinct image for detection (SExtractor in +# dual-image mode) if True +DETECTION_IMAGE = False + +# Distinct weight image for detection (SExtractor +# in dual-image mode) +DETECTION_WEIGHT = False + +ZP_FROM_HEADER = False + +BKG_FROM_HEADER = False + +# Type of image check (optional), default not used, can be a list of +# BACKGROUND, BACKGROUND_RMS, INIBACKGROUND, +# MINIBACK_RMS, -BACKGROUND, #FILTERED, +# OBJECTS, -OBJECTS, SEGMENTATION, APERTURES +#CHECKIMAGE = BACKGROUND + +# File name suffix for the output sextractor files (optional) +SUFFIX = sexcat + +## Post-processing + +# Necessary for tiles, to enable multi-exposure processing +MAKE_POST_PROCESS = True + +# Multi-epoch mode: Path to file with single-exposure WCS header information +LOG_WCS = $SP_RUN/output/log_exp_headers.sqlite + +# World coordinate keywords, SExtractor output. Format: KEY_X,KEY_Y +WORLD_POSITION = XWIN_WORLD,YWIN_WORLD + +# Number of pixels in x,y of a CCD. Format: Nx,Ny +CCD_SIZE = 33,2080,1,4612 + + +## Detection on single exposures +[SEXTRACTOR_RUNNER_RUN_2] + +INPUT_DIR = last:split_exp_runner, last:mask_runner_run_2 + +# Input from two modules +INPUT_MODULE = split_exp_runner, mask_runner_run_2 + +# Read pipeline flag files created by mask module +FILE_PATTERN = image, weight, pipeline_flag + +NUMBERING_SCHEME = -0000000-0 + +# SExtractor executable path +EXEC_PATH = sex + +# SExtractor configuration files +DOT_SEX_FILE = $SP_CONFIG/default_exp.sex +DOT_PARAM_FILE = $SP_CONFIG//default.param +DOT_CONV_FILE = $SP_CONFIG/default.conv + +# Use input weight image if True +WEIGHT_IMAGE = True + +# Use input flag image if True +FLAG_IMAGE = True + +# Use input PSF file if True +PSF_FILE = False + +# Use distinct image for detection (SExtractor in +# dual-image mode) if True. +DETECTION_IMAGE = False + +# Distinct weight image for detection (SExtractor +# in dual-image mode) if True +DETECTION_WEIGHT = False + +# Se to True if photometry zero-point is to be read from exposure image header +ZP_FROM_HEADER = True + +# If ZP_FROM_HEADER is True, zero-point key name +ZP_KEY = PHOTZP + +# Background information from image header. +# If BKG_FROM_HEADER is True, background value will be read from header. +# In that case, the value of BACK_TYPE will be set atomatically to MANUAL. +# This is used e.g. for the LSB images. +BKG_FROM_HEADER = False +# LSB images: +# BKG_FROM_HEADER = True + +# If BKG_FROM_HEADER is True, background value key name +# LSB images: +#BKG_KEY = IMMODE + +# Type of image check (optional), default not used, can be a list of +# BACKGROUND, BACKGROUND_RMS, INIBACKGROUND, MINIBACK_RMS, -BACKGROUND, +# FILTERED, OBJECTS, -OBJECTS, SEGMENTATION, APERTURES +CHECKIMAGE = BACKGROUND + +# File name suffix for the output sextractor files (optional) SUFFIX = tile +SUFFIX = sexcat + +## Post-processing + +# Not required for single exposures +MAKE_POST_PROCESS = FALSE + + +[SETOOLS_RUNNER] + +INPUT_MODULE = sextractor_runner_run_2 + +# Note: Make sure this doe not match the SExtractor background images +# (sexcat_background*) +FILE_PATTERN = sexcat + +NUMBERING_SCHEME = -0000000-0 + +# SETools config file +SETOOLS_CONFIG_PATH = $SP_CONFIG/star_selection.setools + + +[MCCD_PREPROCESSING_RUNNER] + +# Path to MCCD config file +CONFIG_PATH = $SP_CONFIG/config_MCCD.ini + +MODE = FIT_VALIDATION + +VERBOSE = False + +INPUT_DIR = last:setools_runner + +# Input are individual CCDs, thus single-exposure single-HDU images +NUMBERING_SCHEME = -0000000-0 + +FILE_PATTERN = star_split_ratio_80, star_split_ratio_20 + +FILE_EXT = .fits, .fits + + +[MCCD_FIT_VAL_RUNNER] + +# Path to MCCD config file +CONFIG_PATH = $SP_CONFIG/config_MCCD.ini + +MODE = FIT_VALIDATION + +VERBOSE = False + +NUMBERING_SCHEME = -0000000 + + +[MERGE_STARCAT_RUNNER] + +INPUT_DIR = last:mccd_fit_val_runner + +# Path to MCCD config file +CONFIG_PATH = $SP_CONFIG/config_MCCD.ini + +MODE = FIT_VALIDATION + +VERBOSE = False + +PSF_MODEL = mccd + +NUMBERING_SCHEME = -0000000 + + +[MCCD_PLOTS_RUNNER] + +# Path to MCCD config file +CONFIG_PATH = $SP_CONFIG/config_MCCD.ini + +MODE = FIT_VALIDATION + +VERBOSE = False + +# Now MCCD has created a focal-plane PSF model, including all CCDS per images, +# thus single-exposure files +NUMBERING_SCHEME = -0000000 + +PSF = mccd + +PLOT_MEANSHAPES = True + +# X_GRID, Y_GRID: correspond to the number of bins in each direction of each +# CCD from the focal plane. Ex: each CCD will be binned in 5x10 regular grids. +X_GRID = 5 +Y_GRID = 10 + +PLOT_HISTOGRAMS = True + +# REMOVE_OUTLIERS: Remove validated stars that are outliers in terms of shape +# before drawing the plots. +REMOVE_OUTLIERS = False + +PLOT_RHO_STATS = False + +# RHO_STATS_STYLE: can be 'HSC' or 'DES' +RHO_STATS_STYLE = HSC + + +[MCCD_INTERP_RUNNER] + +INPUT_DIR = last:setools_runner + +FILE_PATTERN = star_split_ratio_20 + +FILE_EXT = .fits + + +# MODE: Define the way the MCCD interpolation will run. +# CLASSIC for classical run. +# MULTI-EPOCH for multi epoch. +MODE = CLASSIC + +# Position parameter names +# for multi-epoch XWIN_WORLD,YWIN_WORLD +# For classical XWIN_IMAGE,YWIN_IMAGE: +POSITION_PARAMS = XWIN_IMAGE,YWIN_IMAGE + +# Get PSF shapes calculated and saved on the output dict +GET_SHAPES = True + +# Directory with PSF models +PSF_MODEL_DIR = /Users/tliaudat/Documents/PhD/codes/venv_p3/MCCD_pipeline_integration/test_val_data/fitted_model/ + +# PSF model patterns +PSF_MODEL_PATTERN = fitted_model + +# PSF model separator +PSF_MODEL_SEPARATOR = - + +# For multi-epoch purposes +ME_LOG_WCS = $SP_RUN/output/log_exp_headers.sqlite + + + diff --git a/scripts/sh/combine_run_results.bash b/scripts/sh/combine_run_results.bash new file mode 100755 index 000000000..d90c38fd7 --- /dev/null +++ b/scripts/sh/combine_run_results.bash @@ -0,0 +1,131 @@ +#!/usr/bin/env bash + +# Name: combine_run_outputs.bash +# Description: Combine the output results of different ShapePipe runs. +# Create shapepipe run directory with +# links to all `final_cat` fits files. +# In addition, the pipieline run log file is updated. +# Author: Martin Kilbinger +# Date: 06/2020 +# Version: 0.2 (05/2022) + +# Command line arguments + +## Default values +cat='final' + +## Help string +usage="Usage: $(basename "$0") [OPTIONS] +\n\nOptions:\n + -h\tthis message\n + -c, --cat TYPE\n + \tcatalogue type, one in ['final'|'flag'|'image'], default='$cat'\n +" + +## Parse command line +while [ $# -gt 0 ]; do + case "$1" in + -h) + echo -ne $usage + exit 0 + ;; + -c|--cat) + cat="$2" + shift + ;; + *) + echo -ne $usage + exit 1 + ;; + esac + shift +done + + +## Functions +function link_s () { + target=$1 + link_name=$2 + + if [ -e "$link_name" ]; then + echo "link with name $link_name already exists, skipping..." + else + echo "create link $target <- $link_name" + ln -s $target $link_name + fi +} + +## Check options +if [ "$cat" != "final" ] && [ "$cat" != "flag" ] && [ "$cat" != "image" ]; then + echo "cat (option -c) needs to be in ['final'|'flag'|'image']" + exit 2 +fi + + +### Start ### + +pwd=`pwd` +out_base="output" + +if [ "$cat" == "final" ]; then + run_dir="run_sp_combined" + INPUT="$pwd/$out_base/run_sp_Mc_*" +elif [ "$cat" == "flag" ]; then + run_dir="run_sp_combined_flag" + INPUT="$pwd/$out_base/run_sp_tile_Ma_*" +elif [ "$cat" == "image" ]; then + run_dir="run_sp_combined_image" + INPUT="$pwd/$out_base/run_sp_*Gie_*" +fi + +log_path="$pwd/$out_base/log_run_sp.txt" +OUTPUT="$pwd/$out_base/$run_dir" +mkdir -p $OUTPUT + +# Directories and file patterns to create/link +if [ "$cat" == "final" ]; then + DIRS=( + "make_catalog_runner" + ) + PATTERNS=( + "final_cat-*" + ) +elif [ "$cat" == "flag" ]; then + DIRS=( + "mask_runner" + ) + PATTERNS=( + "pipeline_flag-*" + ) +elif [ "$cat" == "image" ]; then + DIRS=( + "get_images_runner_run_1" + "get_images_runner_run_2" + ) + PATTERNS=( + "CFIS_[iw]*.fits*" + "[iwf]*-*.fitsfz" + ) +fi + +# Create links +for n in "${!PATTERNS[@]}"; do + pattern=${PATTERNS[$n]} + dir=$OUTPUT/${DIRS[$n]}/output + echo $n $pattern $dir + mkdir -p $dir + FILES=(`find $INPUT -name "$pattern"`) + n_files=${#FILES[@]} + i=0 + for file in ${FILES[@]}; do + target=$file + link_name=$dir/`basename $file` + link_s $target $link_name + ((i=i+1)) + done + echo " $n_files target files, $i links created/skipped" +done + +# Update log file +modules=`echo ${DIRS[@]} | perl -ane 's/_run_\d{1}//g; print' | tr ' ' ,` +echo "./$out_base/$run_dir $modules" >> $log_path From 1224f4d071607198824ddd0ed01741ad4074f304 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Wed, 25 May 2022 14:30:52 +0200 Subject: [PATCH 007/217] HST North processing --- example/hst_north/config_tile_MiViSmVi.ini | 2 +- scripts/jupyter/plot_spectro_areas.ipynb | 231 ++------------------- 2 files changed, 21 insertions(+), 212 deletions(-) diff --git a/example/hst_north/config_tile_MiViSmVi.ini b/example/hst_north/config_tile_MiViSmVi.ini index ddddbebcf..3c76f7127 100644 --- a/example/hst_north/config_tile_MiViSmVi.ini +++ b/example/hst_north/config_tile_MiViSmVi.ini @@ -177,5 +177,5 @@ PREFIX = # Additional parameters for path and file pattern corresponding to single-exposure # run outputs ME_IMAGE_DIR = split_exp_runner, split_exp_runner, split_exp_runner, sextractor_runner_run_2 -ME_IMAGE_PATTERN = flag, image, weight, sexcat_background +ME_IMAGE_PATTERN = flag, image, weight, background ME_LOG_WCS = $SP_RUN/output/log_exp_headers.sqlite diff --git a/scripts/jupyter/plot_spectro_areas.ipynb b/scripts/jupyter/plot_spectro_areas.ipynb index b40431285..c030835c1 100644 --- a/scripts/jupyter/plot_spectro_areas.ipynb +++ b/scripts/jupyter/plot_spectro_areas.ipynb @@ -9,17 +9,9 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Warning: surveys missing because pymangle is not installed\n" - ] - } - ], + "outputs": [], "source": [ "import os\n", "import sys\n", @@ -53,7 +45,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -96,7 +88,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -189,19 +181,9 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "3DHST-AEGIS: 207967 objects in total, 41200/207967 = 19.8% potentially in UNIONS footprint\n", - "3DHST-GOODS-N: 207967 objects in total, 38279/207967 = 18.4% potentially in UNIONS footprint\n", - "GOODS-N: 39432 objects in total, 39432/39432 = 100.0% potentially in UNIONS footprint\n" - ] - } - ], + "outputs": [], "source": [ "surveys = []\n", "\n", @@ -353,21 +335,9 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'fraction' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "Input \u001b[0;32mIn [7]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m df_N \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mDataFrame(\u001b[43mfraction\u001b[49m[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mN\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[1;32m 2\u001b[0m df_N\u001b[38;5;241m.\u001b[39mstyle\u001b[38;5;241m.\u001b[39mbackground_gradient(cmap\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcoolwarm\u001b[39m\u001b[38;5;124m'\u001b[39m)\u001b[38;5;241m.\u001b[39mset_precision(\u001b[38;5;241m2\u001b[39m)\n", - "\u001b[0;31mNameError\u001b[0m: name 'fraction' is not defined" - ] - } - ], + "outputs": [], "source": [ "df_N = pd.DataFrame(fraction['N'])\n", "df_N.style.background_gradient(cmap='coolwarm').set_precision(2)" @@ -375,21 +345,9 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'fraction' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "Input \u001b[0;32mIn [8]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m df_S \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mDataFrame(\u001b[43mfraction\u001b[49m[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mS\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[1;32m 2\u001b[0m df_S\u001b[38;5;241m.\u001b[39mstyle\u001b[38;5;241m.\u001b[39mbackground_gradient(cmap\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcoolwarm\u001b[39m\u001b[38;5;124m'\u001b[39m)\u001b[38;5;241m.\u001b[39mset_precision(\u001b[38;5;241m2\u001b[39m)\n", - "\u001b[0;31mNameError\u001b[0m: name 'fraction' is not defined" - ] - } - ], + "outputs": [], "source": [ "df_S = pd.DataFrame(fraction['S'])\n", "df_S.style.background_gradient(cmap='coolwarm').set_precision(2)" @@ -414,21 +372,9 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "32627 image files found in input file '/home/mkilbing/astro/repositories/github/shapepipe/auxdir/CFIS/tiles_202205/tiles_u.txt'\n", - "13163 image files found in input file '/home/mkilbing/astro/repositories/github/shapepipe/auxdir/CFIS/tiles_202205/tiles_g.txt'\n", - "18754 image files found in input file '/home/mkilbing/astro/repositories/github/shapepipe/auxdir/CFIS/tiles_202205/tiles_r.txt'\n", - "22168 image files found in input file '/home/mkilbing/astro/repositories/github/shapepipe/auxdir/CFIS/tiles_202205/tiles_i.txt'\n", - "1080 image files found in input file '/home/mkilbing/astro/repositories/github/shapepipe/auxdir/CFIS/tiles_202205/tiles_z.txt'\n" - ] - } - ], + "outputs": [], "source": [ "# Variables\n", "unit = 'deg'\n", @@ -466,37 +412,9 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "3DHST-AEGIS\n", - " 214.08deg_52.18deg_215.81deg_53.61deg\n", - " 6 u-band images in overlap area found\n", - " 0 g-band images in overlap area found\n", - " 6 r-band images in overlap area found\n", - " 6 i-band images in overlap area found\n", - " 0 z-band images in overlap area found\n", - "3DHST-GOODS-N\n", - " 188.42deg_61.59deg_190.06deg_62.89deg\n", - " 3 u-band images in overlap area found\n", - " 0 g-band images in overlap area found\n", - " 1 r-band images in overlap area found\n", - " 3 i-band images in overlap area found\n", - " 0 z-band images in overlap area found\n", - "GOODS-N\n", - " 188.40deg_61.58deg_190.06deg_62.89deg\n", - " 4 u-band images in overlap area found\n", - " 0 g-band images in overlap area found\n", - " 1 r-band images in overlap area found\n", - " 4 i-band images in overlap area found\n", - " 0 z-band images in overlap area found\n" - ] - } - ], + "outputs": [], "source": [ "import imp\n", "imp.reload(cfis)\n", @@ -538,19 +456,9 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "3DHST-AEGIS: 6 common tiles in uri\n", - "3DHST-GOODS-N: 1 common tiles in uri\n", - "GOODS-N: 1 common tiles in uri\n" - ] - } - ], + "outputs": [], "source": [ "ID = {}\n", "for s in surveys:\n", @@ -596,97 +504,9 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "3DHST-AEGIS\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages/skymapper/map.py:198: UserWarning: Matplotlib is currently using module://matplotlib_inline.backend_inline, which is a non-GUI backend, so cannot show the figure.\n", - " self.fig.show()\n", - "/home/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages/skymapper/projection.py:464: RuntimeWarning: invalid value encountered in arcsin\n", - " lat = np.arcsin((self.C - (rho * self.n)**2)/(2*self.n)) / DEG2RAD\n" - ] - }, - { - "data": { - "image/png": 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\n", 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Image size\n", "size = cfis.size[image_type] / 2\n", @@ -797,20 +617,9 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'000.180'" - ] - }, - "execution_count": 48, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "images['u'][1].get_ID()" ] From f1e2230b211f6ab206936b16b2d5eb0d6e84e610 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Mon, 30 May 2022 14:08:14 +0200 Subject: [PATCH 008/217] typo in doc string --- scripts/python/merge_final_cat.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/scripts/python/merge_final_cat.py b/scripts/python/merge_final_cat.py index 630297482..1b274deb0 100755 --- a/scripts/python/merge_final_cat.py +++ b/scripts/python/merge_final_cat.py @@ -103,7 +103,7 @@ def parse_options(p_def): dest='tile_ID_list_path', type='string', default=None, - help=f'tile ID list, default: Use all data in input files\'' + help=f'tile ID list, default: Use all data in input files' ) # Control From c46f1411c802ed3b6e4680e8510a0247dc538b06 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Thu, 2 Jun 2022 11:45:50 +0200 Subject: [PATCH 009/217] config files updated, no TILING_FLAG --- example/cfis/config_make_cat_mccd.ini | 4 +- example/cfis/config_make_cat_psfex.ini | 2 - example/cfis/final_cat.param | 4 - example/hst_north/config_MsPl_psfex.ini | 101 ------ example/hst_north/config_Pl_psfex.ini | 85 ----- example/hst_north/config_make_cat_mccd.ini | 4 +- example/hst_north/config_make_cat_psfex.ini | 79 ----- .../hst_north/config_tile_Sx_exp_psfex.ini | 248 --------------- example/hst_north/default.psfex | 85 ----- example/hst_north/final_cat.param | 4 - scripts/jupyter/plot_spectro_areas.ipynb | 290 ++++++++++++++++-- 11 files changed, 260 insertions(+), 646 deletions(-) delete mode 100644 example/hst_north/config_MsPl_psfex.ini delete mode 100644 example/hst_north/config_Pl_psfex.ini delete mode 100644 example/hst_north/config_make_cat_psfex.ini delete mode 100644 example/hst_north/config_tile_Sx_exp_psfex.ini delete mode 100644 example/hst_north/default.psfex diff --git a/example/cfis/config_make_cat_mccd.ini b/example/cfis/config_make_cat_mccd.ini index eb3900fdf..5aa33d272 100644 --- a/example/cfis/config_make_cat_mccd.ini +++ b/example/cfis/config_make_cat_mccd.ini @@ -70,10 +70,8 @@ FILE_EXT = .fits, .fits, .sqlite, .fits NUMBERING_SCHEME = -000-000 SM_DO_CLASSIFICATION = True -SM_STAR_STRESH = 0.003 +SM_STAR_THRESH = 0.003 SM_GAL_THRESH = 0.01 -TILE_LIST = $SP_CONFIG/tiles_all_order.txt - SHAPE_MEASUREMENT_TYPE = ngmix #, galsim diff --git a/example/cfis/config_make_cat_psfex.ini b/example/cfis/config_make_cat_psfex.ini index a3f4b763e..fdf5414b5 100644 --- a/example/cfis/config_make_cat_psfex.ini +++ b/example/cfis/config_make_cat_psfex.ini @@ -74,6 +74,4 @@ SM_DO_CLASSIFICATION = True SM_STAR_THRESH = 0.003 SM_GAL_THRESH = 0.01 -TILE_LIST = $SP_CONFIG/tiles_all_order.txt - SHAPE_MEASUREMENT_TYPE = ngmix diff --git a/example/cfis/final_cat.param b/example/cfis/final_cat.param index 9bbbec7a0..6372a13e8 100644 --- a/example/cfis/final_cat.param +++ b/example/cfis/final_cat.param @@ -76,10 +76,6 @@ NGMIX_FLUX_ERR_2M NGMIX_FLUX_ERR_2P NGMIX_FLUX_ERR_NOSHEAR -# Flag for multiple objects due to overlapping -# tiles -FLAG_TILING - # magnitude, mainly for plots MAG_AUTO diff --git a/example/hst_north/config_MsPl_psfex.ini b/example/hst_north/config_MsPl_psfex.ini deleted file mode 100644 index 7fcb3ba20..000000000 --- a/example/hst_north/config_MsPl_psfex.ini +++ /dev/null @@ -1,101 +0,0 @@ -# ShapePipe configuration file for post-processing. -# merge star cat and PSF plots. - - -## Default ShapePipe options -[DEFAULT] - -# verbose mode (optional), default: True, print messages on terminal -VERBOSE = True - -# Name of run (optional) default: shapepipe_run -RUN_NAME = run_sp_MsPl - -# Add date and time to RUN_NAME, optional, default: False -RUN_DATETIME = False - - -## ShapePipe execution options -[EXECUTION] - -# Module name, single string or comma-separated list of valid module runner names -MODULE = merge_starcat_runner, mccd_plots_runner - -# Parallel processing mode, SMP or MPI -MODE = SMP - - -## ShapePipe file handling options -[FILE] - -# Log file master name, optional, default: shapepipe -LOG_NAME = log_sp - -# Runner log file name, optional, default: shapepipe_runs -RUN_LOG_NAME = log_run_sp - -# Input directory, containing input files, single string or list of names -INPUT_DIR = $SP_RUN/psf_validation_ind - -# Output directory -OUTPUT_DIR = $SP_RUN/output - - -## ShapePipe job handling options -[JOB] - -# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial -SMP_BATCH_SIZE = 4 - -# Timeout value (optional), default is None, i.e. no timeout limit applied -TIMEOUT = 96:00:00 - - -## Module options -[MERGE_STARCAT_RUNNER] - -INPUT_DIR = psf_validation_ind - -PSF_MODEL = psfex - -NUMBERING_SCHEME = -0000000-0 - -# Input file pattern(s), list of strings with length matching number of expected input file types -# Cannot contain wild cards -FILE_PATTERN = validation_psf - -# FILE_EXT (optional) list of string extensions to identify input files -FILE_EXT = .fits - - -[MCCD_PLOTS_RUNNER] - -# NUMBERING_SCHEME (optional) string with numbering pattern for input files -NUMBERING_SCHEME = -0000000 - -FILE_PATTERN = full_starcat -FILE_EXT = .fits - -PLOT_MEANSHAPES = True -X_GRID = 5 -Y_GRID = 10 - -# Optional: max values for elliptity and residual ellipticities -MAX_E = 0.05 -MAX_DE = 0.005 - -PSF = psfex -PLOT_HISTOGRAMS = True -REMOVE_OUTLIERS = False - -# X_GRID, Y_GRID: correspond to the number of bins in each direction of each -# CCD from the focal plane. Ex: each CCD will be binned in 5x10 regular grids. -# -# REMOVE_OUTLIERS: Remove validated stars that are outliers in terms of shape -# before drawing the plots. - -PLOT_RHO_STATS = True -RHO_STATS_STYLE = HSC - -RHO_STATS_YLIM_L = 1e-10, 4e-5 -RHO_STATS_YLIM_R = 1e-8, 4e-5 diff --git a/example/hst_north/config_Pl_psfex.ini b/example/hst_north/config_Pl_psfex.ini deleted file mode 100644 index bf1a062c1..000000000 --- a/example/hst_north/config_Pl_psfex.ini +++ /dev/null @@ -1,85 +0,0 @@ -# ShapePipe configuration file for post-processing. -# merge star cat and PSF plots. - - -## Default ShapePipe options -[DEFAULT] - -# verbose mode (optional), default: True, print messages on terminal -VERBOSE = True - -# Name of run (optional) default: shapepipe_run -RUN_NAME = run_sp_Pl - -# Add date and time to RUN_NAME, optional, default: False -RUN_DATETIME = True - - -## ShapePipe execution options -[EXECUTION] - -# Module name, single string or comma-separated list of valid module runner names -MODULE = mccd_plots_runner - -# Parallel processing mode, SMP or MPI -MODE = SMP - - -## ShapePipe file handling options -[FILE] - -# Log file master name, optional, default: shapepipe -LOG_NAME = log_sp - -# Runner log file name, optional, default: shapepipe_runs -RUN_LOG_NAME = log_run_sp - -# Input directory, containing input files, single string or list of names -INPUT_DIR = . - -# Output directory -OUTPUT_DIR = $SP_RUN/output - - -## ShapePipe job handling options -[JOB] - -# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial -SMP_BATCH_SIZE = 4 - -# Timeout value (optional), default is None, i.e. no timeout limit applied -TIMEOUT = 96:00:00 - - -## Module options -[MCCD_PLOTS_RUNNER] - -# NUMBERING_SCHEME (optional) string with numbering pattern for input files -NUMBERING_SCHEME = -0000000 - -FILE_PATTERN = full_starcat -FILE_EXT = .fits - -PSF = psfex -PLOT_MEANSHAPES = True -X_GRID = 5 -Y_GRID = 10 - -# Optional: max values for elliptity and residual ellipticities -MAX_E = 0.05 -MAX_DE = 0.005 - -PLOT_HISTOGRAMS = True -REMOVE_OUTLIERS = False - -# X_GRID, Y_GRID: correspond to the number of bins in each direction of each -# CCD from the focal plane. Ex: each CCD will be binned in 5x10 regular grids. -# -# REMOVE_OUTLIERS: Remove validated stars that are outliers in terms of shape -# before drawing the plots. - -PLOT_RHO_STATS = True -RHO_STATS_STYLE = HSC - -RHO_STATS_YLIM_L = 1e-10, 4e-5 -RHO_STATS_YLIM_R = 1e-8, 4e-5 diff --git a/example/hst_north/config_make_cat_mccd.ini b/example/hst_north/config_make_cat_mccd.ini index eb3900fdf..5aa33d272 100644 --- a/example/hst_north/config_make_cat_mccd.ini +++ b/example/hst_north/config_make_cat_mccd.ini @@ -70,10 +70,8 @@ FILE_EXT = .fits, .fits, .sqlite, .fits NUMBERING_SCHEME = -000-000 SM_DO_CLASSIFICATION = True -SM_STAR_STRESH = 0.003 +SM_STAR_THRESH = 0.003 SM_GAL_THRESH = 0.01 -TILE_LIST = $SP_CONFIG/tiles_all_order.txt - SHAPE_MEASUREMENT_TYPE = ngmix #, galsim diff --git a/example/hst_north/config_make_cat_psfex.ini b/example/hst_north/config_make_cat_psfex.ini deleted file mode 100644 index a3f4b763e..000000000 --- a/example/hst_north/config_make_cat_psfex.ini +++ /dev/null @@ -1,79 +0,0 @@ -# ShapePipe post-run configuration file: create final catalogs - - -## Default ShapePipe options -[DEFAULT] - -# verbose mode (optional), default: True, print messages on terminal -VERBOSE = True - -# Name of run (optional) default: shapepipe_run -RUN_NAME = run_sp_Mc - -# Add date and time to RUN_NAME, optional, default: True -; RUN_DATETIME = False - - -## ShapePipe execution options -[EXECUTION] - -# Module name, single string or comma-separated list of valid module runner names -MODULE = make_cat_runner - -# Parallel processing mode, SMP or MPI -MODE = SMP - - -## ShapePipe file handling options -[FILE] - -# Log file master name, optional, default: shapepipe -LOG_NAME = log_sp - -# Runner log file name, optional, default: shapepipe_runs -RUN_LOG_NAME = log_run_sp - -# Input directory, containing input files, single string or list of names with length matching FILE_PATTERN -INPUT_DIR = . - -# Output directory -OUTPUT_DIR = ./output - - -## ShapePipe job handling options -[JOB] - -# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial -SMP_BATCH_SIZE = 8 - -# Timeout value (optional), default is None, i.e. no timeout limit applied -TIMEOUT = 96:00:00 - - -## Module options - -[MAKE_CAT_RUNNER] - -# Input directory, containing input files, single string or list of names with length matching FILE_PATTERN -INPUT_DIR = last:sextractor_runner_run_1, last:spread_model_runner, last:psfex_interp_runner, last:merge_sep_cats_runner - -# Input file pattern(s), list of strings with length matching number of expected input file types -# Cannot contain wild cards -FILE_PATTERN = sexcat, sexcat_sm, galaxy_psf, ngmix - -# FILE_EXT (optional) list of string extensions to identify input files -FILE_EXT = .fits, .fits, .sqlite, .fits - -# Numbering convention, string that exemplifies a numbering pattern. -# Matches input single exposures (with 'p' removed) -# Needs to be given in this section, will be updated in module -# sections below -NUMBERING_SCHEME = -000-000 - -SM_DO_CLASSIFICATION = True -SM_STAR_THRESH = 0.003 -SM_GAL_THRESH = 0.01 - -TILE_LIST = $SP_CONFIG/tiles_all_order.txt - -SHAPE_MEASUREMENT_TYPE = ngmix diff --git a/example/hst_north/config_tile_Sx_exp_psfex.ini b/example/hst_north/config_tile_Sx_exp_psfex.ini deleted file mode 100644 index 1271eb012..000000000 --- a/example/hst_north/config_tile_Sx_exp_psfex.ini +++ /dev/null @@ -1,248 +0,0 @@ -# ShapePipe configuration file for single-exposures. PSFex PSF model. -# Process exposures after masking, from star detection to PSF model. - - -## Default ShapePipe options -[DEFAULT] - -# verbose mode (optional), default: True, print messages on terminal -VERBOSE = True - -# Name of run (optional) default: shapepipe_run -RUN_NAME = run_sp_tile_Sx_exp_SxSePsf - -# Add date and time to RUN_NAME, optional, default: True -; RUN_DATETIME = False - - -## ShapePipe execution options -[EXECUTION] - -# Module name, single string or comma-separated list of valid module runner names -MODULE = sextractor_runner, sextractor_runner, setools_runner, psfex_runner, psfex_interp_runner - - -# Run mode, SMP or MPI -MODE = SMP - - -## ShapePipe file handling options -[FILE] - -# Log file master name, optional, default: shapepipe -LOG_NAME = log_sp - -# Runner log file name, optional, default: shapepipe_runs -RUN_LOG_NAME = log_run_sp - -# Input directory, containing input files, single string or list of names with length matching FILE_PATTERN -INPUT_DIR = . - -# Output directory -OUTPUT_DIR = $SP_RUN/output - - -## ShapePipe job handling options -[JOB] - -# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial -SMP_BATCH_SIZE = 40 - -# Timeout value (optional), default is None, i.e. no timeout limit applied -TIMEOUT = 96:00:00 - - -## Module options - -[SEXTRACTOR_RUNNER_RUN_1] - -INPUT_MODULE = get_images_runner_run_1, uncompress_fits_runner, mask_runner_run_1 - -INPUT_DIR = last:get_images_runner_run_1, last:uncompress_fits_runner, last:mask_runner_run_1 - -FILE_PATTERN = CFIS_image, CFIS_weight, pipeline_flag - -FILE_EXT = .fits, .fits, .fits - -# NUMBERING_SCHEME (optional) string with numbering pattern for input files -NUMBERING_SCHEME = -000-000 - -# SExtractor executable path -EXEC_PATH = sex - -# SExtractor configuration files -DOT_SEX_FILE = $SP_CONFIG/default_tile.sex -DOT_PARAM_FILE = $SP_CONFIG/default.param -DOT_CONV_FILE = $SP_CONFIG/default.conv - -# Use input weight image if True -WEIGHT_IMAGE = True - -# Use input flag image if True -FLAG_IMAGE = True - -# Use input PSF file if True -PSF_FILE = False - -# Use distinct image for detection (SExtractor in -# dual-image mode) if True -DETECTION_IMAGE = False - -# Distinct weight image for detection (SExtractor -# in dual-image mode) -DETECTION_WEIGHT = False - -ZP_FROM_HEADER = False - -BKG_FROM_HEADER = False - -# Type of image check (optional), default not used, can be a list of -# BACKGROUND, BACKGROUND_RMS, INIBACKGROUND, -# MINIBACK_RMS, -BACKGROUND, #FILTERED, -# OBJECTS, -OBJECTS, SEGMENTATION, APERTURES -CHECKIMAGE = BACKGROUND - -# File name suffix for the output sextractor files (optional) -SUFFIX = sexcat - -## Post-processing - -# Necessary for tiles, to enable multi-exposure processing -MAKE_POST_PROCESS = True - -# Multi-epoch mode: Path to file with single-exposure WCS header information -LOG_WCS = $SP_RUN/output/log_exp_headers.sqlite - -# World coordinate keywords, SExtractor output. Format: KEY_X,KEY_Y -WORLD_POSITION = XWIN_WORLD,YWIN_WORLD - -# Number of pixels in x,y of a CCD. Format: Nx,Ny -CCD_SIZE = 33,2080,1,4612 - - -[SEXTRACTOR_RUNNER_RUN_2] - -# Somehow this works but not -# - omitting -# - $SP_RUN/output -#INPUT_DIR = . - -# Input from two modules -INPUT_MODULE = split_exp_runner, mask_runner - -# Read pipeline flag files created by mask module -FILE_PATTERN = image, weight, pipeline_flag - -NUMBERING_SCHEME = -0000000-0 - -# SExtractor executable path -EXEC_PATH = sex - -# SExtractor configuration files -DOT_SEX_FILE = $SP_CONFIG/default_exp.sex -DOT_PARAM_FILE = $SP_CONFIG//default.param -DOT_CONV_FILE = $SP_CONFIG/default.conv - -# Use input weight image if True -WEIGHT_IMAGE = True - -# Use input flag image if True -FLAG_IMAGE = True - -# Use input PSF file if True -PSF_FILE = False - -# Use distinct image for detection (SExtractor in -# dual-image mode) if True. -DETECTION_IMAGE = False - -# Distinct weight image for detection (SExtractor -# in dual-image mode) -DETECTION_WEIGHT = False - -# True if photometry zero-point is to be read from exposure image header -ZP_FROM_HEADER = True - -# If ZP_FROM_HEADER is True, zero-point key name -ZP_KEY = PHOTZP - -# Background information from image header. -# If BKG_FROM_HEADER is True, background value will be read from header. -# In that case, the value of BACK_TYPE will be set atomatically to MANUAL. -# This is used e.g. for the LSB images. -BKG_FROM_HEADER = False -# LSB images: -# BKG_FROM_HEADER = True - -# If BKG_FROM_HEADER is True, background value key name -# LSB images: -#BKG_KEY = IMMODE - -# Type of image check (optional), default not used, can be a list of -# BACKGROUND, BACKGROUND_RMS, INIBACKGROUND, MINIBACK_RMS, -BACKGROUND, -# FILTERED, OBJECTS, -OBJECTS, SEGMENTATION, APERTURES -CHECKIMAGE = BACKGROUND - -# File name suffix for the output sextractor files (optional) SUFFIX = tile -SUFFIX = sexcat - -## Post-processing - -# Not required for single exposures -MAKE_POST_PROCESS = FALSE - - -[SETOOLS_RUNNER] - -INPUT_MODULE = sextractor_runner_run_2 - -# Note: Make sure this doe not match the SExtractor background images -# (sexcat_background*) -FILE_PATTERN = sexcat - -NUMBERING_SCHEME = -0000000-0 - -# SETools config file -SETOOLS_CONFIG_PATH = $SP_CONFIG/star_selection.setools - - -[PSFEX_RUNNER] - -# Use 80% sample for PSF model -FILE_PATTERN = star_split_ratio_80 - -NUMBERING_SCHEME = -0000000-0 - -# Path to executable for the PSF model (optional) -EXEC_PATH = psfex - -# Default psfex configuration file -DOT_PSFEX_FILE = $SP_CONFIG/default.psfex - - -[PSFEX_INTERP_RUNNER] - -# Use 20% sample for PSF validation -FILE_PATTERN = star_split_ratio_80, star_split_ratio_20, psfex_cat - -FILE_EXT = .psf, .fits, .cat - -NUMBERING_SCHEME = -0000000-0 - -# Run mode for psfex interpolation: -# CLASSIC: 'classical' run, interpolate to object positions -# MULTI-EPOCH: interpolate for multi-epoch images -# VALIDATION: validation for single-epoch images -MODE = VALIDATION - -# Column names of position parameters -POSITION_PARAMS = XWIN_IMAGE,YWIN_IMAGE - -# If True, measure and store ellipticity of the PSF (using moments) -GET_SHAPES = True - -# Minimum number of stars per CCD for PSF model to be computed -STAR_THRESH = 22 - -# Maximum chi^2 for PSF model to be computed on CCD -CHI2_THRESH = 2 diff --git a/example/hst_north/default.psfex b/example/hst_north/default.psfex deleted file mode 100644 index 15af2dc29..000000000 --- a/example/hst_north/default.psfex +++ /dev/null @@ -1,85 +0,0 @@ -# Default configuration file for PSFEx 3.17.1 -# EB 2017-11-30 -# - -#-------------------------------- PSF model ---------------------------------- - -BASIS_TYPE PIXEL # NONE, PIXEL, GAUSS-LAGUERRE or FILE -BASIS_NUMBER 20 # Basis number or parameter -BASIS_NAME basis.fits # Basis filename (FITS data-cube) -BASIS_SCALE 1.0 # Gauss-Laguerre beta parameter -NEWBASIS_TYPE NONE # Create new basis: NONE, PCA_INDEPENDENT - # or PCA_COMMON -NEWBASIS_NUMBER 8 # Number of new basis vectors -PSF_SAMPLING 1. # Sampling step in pixel units (0.0 = auto) -PSF_PIXELSIZE 1.0 # Effective pixel size in pixel step units -PSF_ACCURACY 0.01 # Accuracy to expect from PSF "pixel" values -PSF_SIZE 51,51 # Image size of the PSF model -PSF_RECENTER N # Allow recentering of PSF-candidates Y/N ? -MEF_TYPE INDEPENDENT # INDEPENDENT or COMMON - -#------------------------- Point source measurements ------------------------- - -CENTER_KEYS XWIN_IMAGE,YWIN_IMAGE # Catalogue parameters for source pre-centering -PHOTFLUX_KEY FLUX_AUTO # Catalogue parameter for photometric norm. -PHOTFLUXERR_KEY FLUXERR_AUTO # Catalogue parameter for photometric error - -#----------------------------- PSF variability ------------------------------- - -PSFVAR_KEYS XWIN_IMAGE,YWIN_IMAGE # Catalogue or FITS (preceded by :) params -PSFVAR_GROUPS 1,1 # Group tag for each context key -PSFVAR_DEGREES 2 # Polynom degree for each group -PSFVAR_NSNAP 9 # Number of PSF snapshots per axis -HIDDENMEF_TYPE COMMON # INDEPENDENT or COMMON -STABILITY_TYPE EXPOSURE # EXPOSURE or SEQUENCE - -#----------------------------- Sample selection ------------------------------ - -SAMPLE_AUTOSELECT N # Automatically select the FWHM (Y/N) ? - -BADPIXEL_FILTER N # Filter bad-pixels in samples (Y/N) ? -BADPIXEL_NMAX 0 # Maximum number of bad pixels allowed - -#----------------------- PSF homogeneisation kernel -------------------------- - -HOMOBASIS_TYPE NONE # NONE or GAUSS-LAGUERRE -HOMOBASIS_NUMBER 10 # Kernel basis number or parameter -HOMOBASIS_SCALE 1.0 # GAUSS-LAGUERRE beta parameter -HOMOPSF_PARAMS 2.0, 3.0 # Moffat parameters of the idealised PSF -HOMOKERNEL_DIR # Where to write kernels (empty=same as input) -HOMOKERNEL_SUFFIX .homo.fits # Filename extension for homogenisation kernels - -#----------------------------- Output catalogs ------------------------------- - -OUTCAT_TYPE FITS_LDAC # NONE, ASCII_HEAD, ASCII, FITS_LDAC - -#------------------------------- Check-plots ---------------------------------- - -CHECKPLOT_DEV PNG # NULL, XWIN, TK, PS, PSC, XFIG, PNG, - # JPEG, AQT, PDF or SVG -CHECKPLOT_RES 0 # Check-plot resolution (0 = default) -CHECKPLOT_ANTIALIAS Y # Anti-aliasing using convert (Y/N) ? -CHECKPLOT_TYPE NONE # FWHM,ELLIPTICITY,COUNTS, COUNT_FRACTION, CHI2, RESIDUALS -CHECKPLOT_TYPE FWHM,ELLIPTICITY,COUNTS, COUNT_FRACTION, CHI2, RESIDUALS - # or NONE -CHECKPLOT_NAME fwhm, ellipticity, counts, countfrac, chi2, resi - -#------------------------------ Check-Images --------------------------------- - -# Note: Check-image types can be set the ShapePipe config file, psfex_runner section -####### -#CHECKIMAGE_TYPE NONE # CHI,PROTOTYPES,SAMPLES,RESIDUALS,SNAPSHOTS - # or MOFFAT,-MOFFAT,-SYMMETRICAL -#CHECKIMAGE_NAME chi.fits,proto.fits,samp.fits,resi.fits,snap.fits - # Check-image filenames -#CHECKIMAGE_CUBE N # Save check-images as datacubes (Y/N) ? - -#----------------------------- Miscellaneous --------------------------------- - -PSF_SUFFIX .psf # Filename extension for output PSF filename -VERBOSE_TYPE NORMAL # can be QUIET,NORMAL,LOG or FULL -WRITE_XML N # Write XML file (Y/N)? - -NTHREADS 1 # Number of simultaneous threads for - # the SMP version of PSFEx - # 0 = automatic diff --git a/example/hst_north/final_cat.param b/example/hst_north/final_cat.param index 9bbbec7a0..6372a13e8 100644 --- a/example/hst_north/final_cat.param +++ b/example/hst_north/final_cat.param @@ -76,10 +76,6 @@ NGMIX_FLUX_ERR_2M NGMIX_FLUX_ERR_2P NGMIX_FLUX_ERR_NOSHEAR -# Flag for multiple objects due to overlapping -# tiles -FLAG_TILING - # magnitude, mainly for plots MAG_AUTO diff --git a/scripts/jupyter/plot_spectro_areas.ipynb b/scripts/jupyter/plot_spectro_areas.ipynb index c030835c1..ebff848ba 100644 --- a/scripts/jupyter/plot_spectro_areas.ipynb +++ b/scripts/jupyter/plot_spectro_areas.ipynb @@ -9,9 +9,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Warning: surveys missing because pymangle is not installed\n" + ] + } + ], "source": [ "import os\n", "import sys\n", @@ -45,7 +53,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -88,7 +96,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -181,9 +189,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3DHST-AEGIS: 207967 objects in total, 41200/207967 = 19.8% potentially in UNIONS footprint\n", + "3DHST-GOODS-N: 207967 objects in total, 38279/207967 = 18.4% potentially in UNIONS footprint\n", + "GOODS-N: 39432 objects in total, 39432/39432 = 100.0% potentially in UNIONS footprint\n", + "HectoMap-groups: 3547 objects in total, 3547/3547 = 100.0% potentially in UNIONS footprint\n" + ] + } + ], "source": [ "surveys = []\n", "\n", @@ -195,7 +214,7 @@ "# 'eBOSSLRGCMASS16-N', 'eBOSSLRGCMASS16-S', 'eBOSSELG16-N',\n", "# 'eBOSSQSO16-N', 'eBOSSQSO16-S']\n", "\n", - "use = ['3DHST-GOODS-N', '3DHST-AEGIS', 'GOODS-N']\n", + "use = ['3DHST-GOODS-N', '3DHST-AEGIS', 'GOODS-N', 'HectoMap-groups']\n", "\n", "if 'Test' in use:\n", " surveys.append(Survey.from_array('Test', 'orange',\n", @@ -292,9 +311,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3DHST-GOODS-N 3DHST-GOODS-N\t\t 0/38279 = 0.00% objects not matched\n", + "3DHST-GOODS-N GOODS-N\t\t 7983/38279 = 20.85% objects not matched\n", + "GOODS-N 3DHST-GOODS-N\t\t 8736/39432 = 22.15% objects not matched\n", + "GOODS-N GOODS-N\t\t 0/39432 = 0.00% objects not matched\n" + ] + } + ], "source": [ "fraction = {}\n", "fraction['N'] = {} # np.zeros(shape=(len(surveys), len(surveys)))\n", @@ -335,9 +365,41 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
3DHST-GOODS-N GOODS-N
3DHST-GOODS-N0.000.22
GOODS-N0.210.00
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "df_N = pd.DataFrame(fraction['N'])\n", "df_N.style.background_gradient(cmap='coolwarm').set_precision(2)" @@ -345,9 +407,25 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "df_S = pd.DataFrame(fraction['S'])\n", "df_S.style.background_gradient(cmap='coolwarm').set_precision(2)" @@ -372,9 +450,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "18754 image files found in input file '/home/mkilbing/astro/repositories/github/shapepipe/auxdir/CFIS/tiles_202205/tiles_r.txt'\n" + ] + } + ], "source": [ "# Variables\n", "unit = 'deg'\n", @@ -382,6 +468,10 @@ "bands = ['u', 'g', 'r', 'i', 'z']\n", "colors = ['b', 'g', 'r', 'darkred', 'm']\n", "\n", + "# for output of subset of bands\n", + "#bands = ['r']\n", + "#colors = ['r']\n", + "\n", "# Padding around search area in plot\n", "d = 0.5\n", "\n", @@ -412,9 +502,28 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3DHST-AEGIS\n", + " 214.08deg_52.18deg_215.81deg_53.61deg\n", + " 6 r-band images in overlap area found\n", + "3DHST-GOODS-N\n", + " 188.42deg_61.59deg_190.06deg_62.89deg\n", + " 1 r-band images in overlap area found\n", + "GOODS-N\n", + " 188.40deg_61.58deg_190.06deg_62.89deg\n", + " 1 r-band images in overlap area found\n", + "HectoMap-groups\n", + " 200.04deg_42.00deg_249.81deg_44.50deg\n", + " 320 r-band images in overlap area found\n" + ] + } + ], "source": [ "import imp\n", "imp.reload(cfis)\n", @@ -456,9 +565,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3DHST-AEGIS: 6 common tiles in r\n", + "3DHST-GOODS-N: 1 common tiles in r\n", + "GOODS-N: 1 common tiles in r\n", + "HectoMap-groups: 320 common tiles in r\n" + ] + } + ], "source": [ "ID = {}\n", "for s in surveys:\n", @@ -504,9 +624,124 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 20, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3DHST-AEGIS\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages/skymapper/map.py:198: UserWarning: Matplotlib is currently using module://matplotlib_inline.backend_inline, which is a non-GUI backend, so cannot show the figure.\n", + " self.fig.show()\n", + "/home/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages/skymapper/projection.py:464: RuntimeWarning: invalid value encountered in arcsin\n", + " lat = np.arcsin((self.C - (rho * self.n)**2)/(2*self.n)) / DEG2RAD\n" + ] + }, + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3DHST-GOODS-N\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages/skymapper/map.py:198: UserWarning: Matplotlib is currently using module://matplotlib_inline.backend_inline, which is a non-GUI backend, so cannot show the figure.\n", + " self.fig.show()\n", + "/home/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages/skymapper/projection.py:464: RuntimeWarning: invalid value encountered in arcsin\n", + " lat = np.arcsin((self.C - (rho * self.n)**2)/(2*self.n)) / DEG2RAD\n" + ] + }, + { + "data": { + "image/png": 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\n", 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ArcF332XHLbfw8SOP5MMvfIHhP/oRDgg+/TRvffazDL3zToLr10NlJYHLLuP4+fNZde21NG3fTtnatZRdeSWJcJhwRQXhN9+k9L77cEA4GiX++utsOu88Kg4+mIJDDoF99tmdiXjcuyQH6ME4hYlE/7qqf+/xx9tqVbtWraJhyxZ2vfIKby9ZwkEXXdSWrmzCBI6/+25WXXcdTdu3EywuJp6c5j5YVOTN5VZQQKCggHhTE5GqKv753/9NxSGHeDvoTrtnJ9uom3nXKECJdFG0ro435s2jevVq1i1axNiZM3Ef/SjhujoA/jZ2LI1bthA04+ALL6R+4ULWbdzIoVOn8srdd0MwSKCggOJRoxhzzz08fe+9FK1cyYELF9I0dy4rRowg0dzMYYkEBcOHM/3ww4mNHctrw4djKZffZQ8/TNFLL9E8dSp155zTcYY7OWlGo0Y47M+TZrSujjduvZUPX3uNtxYuZP+zziJcXk64tBSAaffei3OOl7//fSZ99as0bdvGO0uXMvHcc1k7f77Xwy4ep3jUKCZ+9ausvOYacI4Dv/ENqv7xD9595BHikQhjzjiDwuHDmXLllRAIsGnZsj06qeSkk6p/LObfsvYjBSjJj05Ommb+vXkfLitj6o03tls29YYb4IorADj4W9+i5Pe/x446ivphw4hedRXjr7oKnn6aj27ZQu2557ZtNwz4VFMT8ZNPpmrCBEaWlRG65RYARn73u+zYbz+2PvAAxONM/da32HbJJRCJQCCAC4VoOO00GjubYrzTk6Z/a1DhsjKmzpnTbtnRc+e2e29mHHvbbQAUFxVx6GWXYYEAR86e3e4gqjz0UI6+6SZvypFwGOccQ484wttHcvDcQLKtc9znPtcnB188blkH7Zf2OrwHZWa1nfyrM7O39mZmZQDp5KQZCrm21qt+IW1eqJLf/Y6GM8/cvS6RIF5ejiU7Obh4AucgOn482+fPh2iU4PbtxMsqSFTVwI4qEhUV4BzxxgixxiiusJDArl1UzruN4v97wttHUc8H0E0k+sE9qC5ovRdlgQAWDLa7NxUIhQgkg5GZEUg28aXfR0rfrjO5dv9XN/OuyVaDWu+cm5ptYzNb2cv5kcEq7QceDHpXm/2hOcTq6hg+bx4Fq1dTsWgR/5z6Wd5eO5oFVx/AnXfu4KXP/ZzhTVto3lJL5S9+yB9vaOKw5x/kuSMu5LrADRQVO1xBAfFRo5jz4eXM/LfbCQYhdN/X2frwq9Tf8zgFiWbqvvE56upHcdEL93J0UzMXlTzIYWN2/4Tjce+iPxDwKlm53pbycw2qM1u2hFiwoJL6+gA//el2rr12OM7B3/5WzH33bWPixCgbNoQ555x9eeaZ9ygs3P09r7lmBE1NRnl5gtmzq9i0KcT8+UOJx+HSSz+kqMhxxRWjmDKlheOOa+K00xoz5qErnSS8Y7rHX3vQyBagPp/D9rmkEemyUMgRjUIvVBD6nCsrY2dKk99ogCd/hLvCO3Edt+w8YjG49NJ9uPeobTT/rZJlR11NRUWcXf9xXbuT5iV3D8W5OcyaNYK5E3Zy130jmPPHo4jFjBtuGM4lp37IPvvECASg4TOfpjll2oaHHy5jn31ifOxjTXz3u/twzz3bcsp/f74vMmZMjJtu2snll48C4Prrq4jF4Dvf2YeJE6MkEvA//1POCSc07bHtddftJBiEH/7Qe05t8eIKfvCDKpyDu+8eyoUX1tDcbGzfHmTs2PbV+ccfL2HYsDgnntjM1VeP4Oqr670VnQSrRMK7gJDcdFhUzrlOp9zMJY1Id4RC3tXmQPHkkyWcckoDAN/+djXz5u1g2rRmfv3r9s9JbdgQ5pJLRlFc7AWM5mbviru42NHUZOy3X5yf/3wrc+bsZP78oYA3hUNr01FrTaiwMPcu6f05QLVKjQtPPz2EGTO82s7ChRWcd14N4bAjEGj/HTdtCnHppaPaLhBqawMMG5Zg+PAENTUB9tsvxv/+7wfceONOFi6saLdtS4sRjXofWl+fchrtb89H+FynsTx5ryn9/tN7ZrbMzCbujUzKANTJlaZ3D6r/Bqi0W1L87nclnHlmQ9u6RAIqKuI0N3vfsfURp/HjoyxYsJ1oFLZtC1JR4Z0sd+0KUFHh3bdqaWl9dsmxa1eAW28dxhNPlFJU5GhoCNDSknbSzMFAuqp/7LFSzjzTq9GsWlXEwoUVvPJKEUuWtA8yEybEuPvu7QBs3x6ksNDR0uKVb1GRIxCAwkJHeXmCxkbv/+Cmm4axbFkpodDu0aIG0oWU3+TSi+8O4H3gfwADvozXivFPYDFwcl9lTgawTjtJ0L86SaSoqzPmzRvO6tUFLFpUwcyZ9VRWJtpqRf/1X5V88EGQ6uog1167k61bgzz0UDnnnlvTVisKh2GffeJ87Wu1zJ07HDO4+OJqXn65kEceKSMSMT796XqGDUvwox/tAmDHjiC33TaMzZvD7ZoNO5MeTPuTujrj1luH8dprhSxcWMFZZ9VTVpagtNT7Qq3NnFdeOZKvfrWWbduCLF26u6wDAS/YjxzplfWsWSNxDr7+9Rr+8Y9Cli0ro7nZOP30BoYNS/C9731IMOjYvj3EbbcNZd26MLW1we6NkSidss4K1sxWOOeOT1u23Dk3zcxedc717mBVvWDGjBlu0aJFec1DdXU1lZWVec2Dn+1YvpyR06a1vS9avpzm449vq1m9914IM9ra/lWe3bfuZz9j8gUXtL0vWr6crYcc0laeS5eWceaZ9ZSXD9yTbOojC633gVovgMxo6/rdOmZvQYGXrrUZz2sibL/PpiYjEIB43BGN1lBRUbHHcZ1u+fIizVycwaRJk37rnJuZvjyXin3CzL5oZoHkvy+mrBu4R7TsVc676dT2PhjsZ93M+7H+3pyai9QW5dZA09pMl/pcUkHB7rkcW5v4Cgv3DE7g3RcsLHRtNWPpfbkEqHOArwLbgW3Jv881s2Lgkj7MmwwmwSCWEpHCYQb8SdMvQqHdNQURP+n0HlSyp95ZHax+vnezI4OVS7vpFAw6ujPSjHRdMOgUoHqgKxMWStfk0ovvIDP7i5m9kXx/hJnN6vusyaASCqXVoHTS3Fu8Z85U1uI/uTTxLQR+CEQBnHOv4fXkkw4457r0dLmACwbTalCDr/uuc7B1697v7x0Mes9RifhNLr+GIc65l9KW6fa19K5wuF0NqnUkCch9nLP+atWqAAcdtD8HHjiBE08cx6RJ47nnntK99vnhsO5BiT/l8hzUTjObRLLHnpl9AfigT3Mlg0JqTdMFg1jKTaf0kST6Y4107txyFi8eniWFw3u0MJ1x++0juf32kRm3euutd3p1RGzdg+odA/1CKh9yCVDfAe4DDjGzLcA7wLnZNxnc1MS3W+uPNtNo0SQSbX18XSiEteweVy4Q6LMJZPea7ds7Owa6d4z09qgP/W7keL9KJLzjWnpNrr34TjWzEiDgnKvr+2zJQLF+yRIqDj10j+WxxkbeXrKk7QGVQH09FokQH767xlH/Toh1b0ZxQH1zM2XJadLbab1q7ekFQU/3k2H7bx4G1U+k16Bar7K7n9/zD3Qce3Qzp5/hjTdX9847uFiM8smTM6YPFBSwbvHitvfhd99l18svt5Vn48YwjcC613x+IyrT/9FeXBaPRCgaOZKS/fffI11NfT3RkhIqp0zp6reSLDoMUGb2vQ6WA+Ccu6OP8tTvqQa1W8Whh2Z9sr5VYNcugjt2ED344LZlO18sYvL0Zpxz1NbWUlFRkWUP+fHee/DHPw6hqCjBlClR9t/fJQcbNa69dhjPU94nn/v8K/CTV8Aszo1ff4wTT2wmNu5EKisdb7/tVbE2bw4yYkSck05qXz1KH0miankRzsHk6RrhIJtIVRXNO3dSkXKMtgprpJM+ka0G1TrM8sHAR4DHku/PAv7al5mSQSitm3kqPwf8k08eT09qQz3lXJCFi0dy/+Jm3uaAjGnWr39nL+dqYErE4wRCmoR8b+qwtJ1z1wOY2Z+Ao1ub9szsOuDXeyV3/ZRulnadKyigYN06ArW13gIzRr1ZQJG1kEgkiDY1UVRSkrZRLzXv9cDH2Eg+AxRAJWsIUceYDn7ORcvb92mypj3nRpLOuVhM95j2slwuBw4AWlLetwDj+yQ3Mmi5oiLqP/vZdsu2uyImTWsmkUgQqa+nubxvmsu6a86cCp6lktye1ug7YyinjA9Y28HEAlWHb6SkJO2iqbq6z/M10Lh4vG26eNk7cglQvwBeMrNleHd4zwYe6NNcDQB+bZKS3vHkk0N44IGh5Lv2BBCjgECWRxOPOGI8kGDmzFrKy6GyMsof/lDIb38baRsYVTqXiMUIZeqoI30ml158c83s98BJyUVfd86t7Nts9W9q4hv4PvGJRh57bAuf/vS+eDWo/AWqBGGCdNYDL8ATT1SmvN/FN75RyoMPVvVhzgYWF4thPbgHpdNC1+VU2s65V4BX+jgvMgg98UQJI0ZkHhV23bowa9YUkEjEaWkJUFTkryY+gB/9qBqA++8v4/33w+QjUMUJY3R9ZN0XXyzlhBOK+OY3a2lpCfDmm151qi96bKefnHt72d4Q3F5EorQSN2TP47CpKU5xcTn19QGOP77j3pAjR2oE5K7I1s38Fefc0dk2ziXNYOTnXmd+M2JEvMMJ3FqXx+NxGhsbKSvLmMwXvvENr3PHmjUhvvzl0dTX7717FXHCBLs1+liAbdsKmDNnBBUVLfzqV1s58ECdQDvy4Rs1lI6rJFxWu8e66uo6KiuDmpCwl2WrQR1qZq9lWW+A/x5MEcmjQw+N8eqrm5k1q5ylS7MNc9R74p3cg8pFTU0Bn/zkAYBj4sQIf/rTB/nsHOlLLh7vUROfdF220j4kh+11uZWBalDyqU81s3Rp+lh7HY291zNxwj0OULsZGzYUceCBE/T8VBoXjRJQN/O9KttzUO/uzYyIDCQnnNDC+vUb2y2LxeD228u5777erVklejVAAcQpK9Md/XQJ1aD2uvw+wDGAqQbVewZKr8hQCK66as/7Fz3V/XtQmZWUJFi16r1e29+A4RzW2yP1Sla6HBDJkXOu3UnKJacHSR9dIBGNet3MAoG2oXHikQgAtY2FbelCNJEgTCLlZ+j1xjNcF64dvV58vRegGhp0WhB/yNaL70BgH+fcC2nLTwLed86t7+vMieRLw6ZNrF2wgERLCx+5805WzpoFZmx//nlOXLKEuvXr2bRsGRYMMu7zn2efk05q23bVddfhYjECBQVMveEGqlev5u3FiyEQYPKFFzJlyijeecvx79HPs2HIp/lH6CJKShIUF8cZuvl37IyMZiMnZclde44gRldrmTFOOqmOs89u4rDDmrj44n0oKIhTUxPk/vu3d3Ff3deweTP/XLCAWGMjx911FytnzwZgxwsvMH3RIj5ctYqqlStp2rqV8oMOYsqVV7Ztu/Kaa4g3NREuK+PIa6+lfuNG1i5YAIkEh1xyCaUTJgDw4sUXM/rjH2fCl77Utu3WZ5+loLKSYUce2avfRw0nvSvbpdJPgKszLG9KrjurD/IzIKiTRP9XcsABHDNvHi9dcQUAU2+8kUQsxkuXXUbpuHG8+5vfMOWqqwiEQmx48MF2AerouXNx8XjbyXb9gw9yzI9/TCIa5dXrr+f//u9g1v3sZxRUnIpL1DP+i1vatn334Xcp2qeZutHjmDu3kr/+tYze7lhx3HH13Hvvlnajb//lL/mZg7Rk7FiOvvlmXrr8cgCmzplDIhZjxXe+Q9mECZRNmMABZ5/NazfdxAFpQ2EdNWcOZsYrP/whAG/ffz9HzJoFzvHmT37CUdddx/oHH2TktGlttd1Wkaoq/Ub7gWztCOOdc3t0M3fO/QONxSe9JBiEeCd9Qf1yD+r9P/2JfU85BYB9Tz2Vl//zP/n7977H2LPaX6vVbdjAS5df3jYsTqK5GQsGCRYVEW9upnr1agCKRo8m3px81qu5ua0ZEODAA+Pcf38VdLlm1LmXXvLhcD0pwWLrU08xesaMtvcuHqdh0ybKDzyw3Sb1Gzey4tJLCRYVARCtraWgooKCykqiNTXUbdgA8ThDp0zZa6OQ++RQHTCyBaiiLOt8eIT7h2pQKTr5xQaDuc3mmo/ybL3n1Pr3lt/9jrEzZwKwbtEiTvrlL/nXBx7gn/feC3hjtQGUjhvH8fPnk4hGadq+nXBFBZEPP6R5507CFRVUvfwyDe+9x4Zf/IItf/gDkaoqVt9xB1t+/3vv81KmEq6o6P1phSdN8vfEhO89/jj7J8sZ2l8YpCqbMIHj774b5xxN27cTLC4mHokQj0QIFhez9ZlnqF67lrcWLWLTo48SqaritZtu4t1HHvF2oN+o72W7rPi7mV3knFuYutDMLgBe7ttsyWARCkE8bvRFTaEnonV1vDFvHtWrV7Nu0SLGzpxJwbBhBAu9Tg5jTj+dl6+6Cpxjv1NPpWnrVt556CEmnnsua+fPB7yZbItHjWLSeefxxi23AHDwt75F6fjxAOx69VXq33mHwuHDOeJqrzX9vcceazdi9iuvvMeKFQU8+mgxRxzRzGGHxXnnnTDPPFPA449XAOnP5cQ477xq/t//a6SgIMHq1SFeeaWAmpowM2fWM2lSgoqKhG8GM4/W1fHGrbdS/frrvLVwIfufdRbh8nJCKVOrbP7tbznm1lsBaNq2jXeWLm0rZzPDJRJeOX/ta6y85hpwjskXXED5QQeBc2x/8UXq16+ncPhwpnz/+1ggwLvLlu3R7Cf+Yx01n5jZPsAyvOk1WgPSsUABcLZzbuteyWE3zJgxwy1atChvn9/Y2EgwGKSwsLDzxAPcjhdfZOT06R2uX726gAMOiGZ97iYajRKJRCgtLe2LLPZr//u/JVx99QhmVtzOT17+QoeVgsWLy9uGYwKo7sczwLa2ULiUmmZqz0rn3B5NeumtGi6RALMu1cx3LF/e4ezQreWpoY66Z9KkSb91zs1MX57tQd1twAlm9nFgSnLxb51zT/VRHnNmZmcA/wpc45zr/TYQ2WtCIUcs5r8aVE84t7v1qPUcmv74TCzW1hOd1l7qLclZ11KnwIhEvFpmRwMYfOlLDXzpSw2sW1w7aFqsWoNKpmeSLBjM2KUkPRDpeab+IVs38xnOuaecc0+b2Ubn3Dsp6z7nnHukpx9uZpXAIrwA6IBvAJuBnwOjgQRwn3PurrRNPwqsAKYDLyD9ltdJIvuZ1a/39DZtCnHPPZVEIsadd+5g1qwRmMELLxSzePEHbNhQwLJlpQQC8IUv1HHSSbtnsr322hHEYkZBgeOGG3ayZk0BixZVYAYXXVTNwQdHiUTgm98czWmnNfDv/17Xtm0s5gW2QAAiEaOwcOAE93SbN4dYsKCSxsYAd921ndmzvVE4XnihmEWLtrFqVSErVxaybVuIyZNbuPLKD9u2veaaETQ1GeXlCWbPrmLjxhALFgwlkYBLLvmQCRO8e4bf+tY+fPzjjXzxi3UZ8yD5k+0y4raUvx9OWzerKx9iZieb2ZIMq+4C/uCcOwQ4ElgDxID/cM4dCkwDvmNmh6VtFwfOSabfQzQapaamhtraWmpra6mrq2v3r76+nvr6ehoaGmhoaKCxsZGmpiaamppobm6mubmZSCTS7l9LSwstLS1Eo1FisRixWIx4PE48HieRSJBIJHDOtf3z4wnVj3LtJOFHBxwQ45ZbduKc93994407mT17J4cc0sL48TFWrizkqqt2cfXVVaxY0b7P0dy5O7n55h1tNayf/7ycefN2cMMNO1myxBuD+Ze/rGDmzHrSO6A98kgZzz3n9VO64opR3iCmA/R4Gzs2xs0372x7P2dOFbNnV3HggVEmTIhy9tn1zJlTxbhxUT7zmfp2215//U5uu20HTU1e2SxZUsHVV1cxa1YVDzzQWsZlHHdcE9G0fiOPPVbCCy94ZXzVVSP78BsOXs65tnNnR7J1krAO/s70vsvMrByvJnQ+gHOuBe9+VzXwQXJZnZmtAcYAb7Zu65zLGiDD4TDl5eVt3ZNzfU39u7XQMqVNv2+XnqahoYFwOEx4EE4P3db8kmzfr29spKiubo91ra+xWIj6eqO5Od5uXer+WlpaiMViRKPRPfafab/59Oc/lzBjRgMAp57ayH/+p3dyu/bane3SbdgQ5o47hjJ6tPe9m5uNUMhr8mxutra5mfbdN86GDd5xFIkYgYAjGHSEQt6xVlSUINHDifT6g9T/2qeeGsKMGY1t7+Nx2LQpzOTJ7aPMu++GuOOOYW3zjdXUBBg6NNH294YNYaJRmDKlmfXrw20XmQDNzXEikTjRaJSGhqh3gZq8F9oq9Xff3NxMY2Mjzc1xGhqaM55b0rfJtH6wyPU3m+2odh38nel9d0wEdgD3m9mReB0xLnfONbQmMLPxwFS85rwusS7eAO1NrR0kBmOASg/kxcXFFCefB8r04ywoCJDym894YRCLxWhpaSEUCmW8mMjnj905iERCVCe7xT36aIjrr6+iutpxzz0jWLBgDbGY16R3003VxONes2ZlJdx44w5uuWUY69bVUVQU4N13a4nHoagowF//GmXjxhjPPx+kvj7BiSfW8sADFRx0UJSCgl1s2+bYtq2JXbvC7Nqxg/pkq0GmH76ZEYkYdXW7m7Dq6ura0vSHk2RLy+4yfvjhELNne2UM8Je/DGH69C1UV7evQQ0dCjfcsJN587wyDgQCbNvm7cMswO9/H2PDhgTPPRekri7BtGmNLFlSweTJUUKhJmKxeLIFxWs5aW0xSS/jQCCAmREMBgkGQ4TD4Q4vnvx4UeVn2QLURDN7DK+21Po3yfcTctm5ma0ACoFSYJiZrUquugqoAo4GLnXOrTCzu4AfANckty3Fa1q8wjnX+yNsSp9I/+EFAwFCWa7uhwwJEosFKCrq+NmclpYWwuEwJSldj/2grs6YN28469YV8ZvflDBzZj2jRlUyerTXZvnpTxdy882TcQ7OOKOR5ubhPPRQOeeeW8P8+UMBKCtzTJ6c4KKLgixYMAkzuPjiD5kwIQgkWLkyzMaNYSZOLOf66x0QZufOILfdNpSamhbKy4soL9lOfUlJW6tBpsAdDhdTXLy7BhqNRikrK8vrhVwu6uqMW28dxtq1Q/j1r0s466x6hg+vZMyY3e3CTz01iltv3cGQIZVs2xZk6dLdZWwGoZAxeXKCCy8Mcfvt3v/HRRfVcNBBCRKJOC++WMD69WHGjy/l6qvjyUAW4vbbR7FlS4Tm5iGUlDTSWFTEkCFDMuazsLAweVFaSEGB/wN+f5Gtm/nHsm3onHs25w8xOxk43zl3fsqy0cBy59z45PuTgB845840szDwBPBH59wduX5Oq3x3M6+rq6O4uDjriXmwyNY1F2DXrgA7dgQ5+OCOA1QkEiEej3d4chjsmrZvZ/vzzzPuc5/rMM1A6maeLrXXJHg9JwMB77V1XWunvdbek+mNG63bpIpEDDOHc15HFHUz7zvd6WbeFoDMbGRy2Y7eypBzbquZvWdmBzvn/gmcArxp3uXcz4A13QlO0r/sflBXusvFYnuMqD6YpFcAWwNNpp7kHV0zZkq7u3ekakT50mEvPvNca2Y7gbXAW2a2w8xm9+LnXwr8Mjm1/FHATcCJwFeBGWa2KvnvU734mXuFn5tN/KQ/9+Lzi0RLy14ba05kb8p2VF+B9zDsR1qfgTKzicC9ZvZd59yduX6Ic+4Z4JkMy1fhjU6R6nn6Yl5s8SXVoHouMchrUDJwZXsO6mvAV1If0HXObQDOTa4T6bFQyHU6mrlkl4hGOw1Q/aCjXr+nMu592QJU2Dm3M31h8j7U4Os/3QV6UDd3gQDJoY6yU3l2zEWjA/45KF/o5BhsfYRAek+2ANXSzXUi7WR7zkZxp+cSsVin96BUzr2gkypSPG4Eg6pG9aZsR/WRZpbp+SMj+1xRg55qULtZKOQNxaMr/D6jJj5/iMU67iUo3ZOtm7kqq9JjgWDQm3dHv9y+k0hodG4fiMetbQgq6R06a/QR1aA8xWPGUPWPf2S9wo+8WcCOjlqNnaM5OQ9FUXfm12qtOgzg/4+mbdsoGjWKHcuXd5gmvKmEHcvbRhGjpr6eqObX6pJAJ0OXxWKoia+XKUD1gf4wttneUjxqFMWjRmVNU0gRI7M8fd/c7K0rKlLLcndFV5czctruFvvwABpJwi+8GlS+czGwqDgl7wZw5cZX0ocEkt6lGtRu2WaO6MogzwpQIoNAKOSIRtvP1jsYdOUEmWlqjFyn6qmvr6euzmsCrKmJZdzfYJJt1PaujOiuACV5Nxh+x105QeYypUhXt2lpiVFV1UBxsbespqamV7+fX2WaPyzTuo5eA2mdTzpK29LSQiRSRlGRo7w80W6ddJ8C1CDTlRNkV0+U3Z2crb6+kOrqSMZ1AE1NTQQCgbZ7Uf1RpgkWU9elv2aac6ir26S+lpWVMWRIARUVu2cv1T2o3hMMBnEuSEFBArNBcMW1lwzIABWLxdpNzra3J7bz69VpZ1XrXE52mU6UPZ2crbS0iMrKjoNPYWEhgUCAwu704hNgdxOf9B1vJAkFp940IANUMBikuLg461VmX9PVae4aGgIsX95xD71IxHvwuaCga734BkEP85wNGZLglVeK2pqf6usLKS1Vr8hc5HIc1dcXEosVcMABjR0nki4bkAHKzDRZYD9yyinZf9RNTc3JGtReytAgUF0dyVprla7xyrOh84TSJXr8XEREfEkBSnxvMHfXFRnMFKBERMSXFKBERMSXFKBERMSXFKDE93QPSmRwUoCSfkHDxogMPgpQIiLiSwpQIiLiSwpQIiLiSwpQ4nvqJCEyOClASb+gThIig48ClIiI+JIClIiI+JIClIiI+JIClPiec073oEQGIQUoERHxJQUoERHxJQUoERHxJQUoERHxJQUo6RfUSUJk8FGAEhERX1KAEhERX1KAEhERX1KAEt/TaOYig5MClPQL6iQhMvgoQImIiC8pQImIiC8pQImIiC8pQInvqZOEyOCkACX9gjpJiAw+ClAiIuJLClAiIuJLClAiIuJLClDie5ryXWRwUoASERFfUoASERFfUoASERFfUoASERFfUoASERFfUoASERFfUoASERFfUoASERFfUoASERFfUoASERFfUoASERFfUoASERFf6pcByszOMLO5ZtYv8y8iIp3L6wnezCrN7DdmttbM1pjZ9OTyxWa23cze6GDTjwJ/B6bvtcyKiMhetVcClJmdbGZLMqy6C/iDc+4Q4EhgTXL5EuD0LLuMA+ekpBcRkQEmlK8PNrNyvJrQ+QDOuRagJfn3X81sfEfbOudmZdt3NBqlurq6t7KaUev8ROmvAPX19YRCobblHaVNn+ModXln22h+JBHpK845nHNtf+fymmva1PTp26fLW4ACJgI7gPvN7EjgZeBy51xDT3f8/PPPrz3mmGPW93Q/IiKyV0zKtNCyRa+eMrMVQCFQCgwDNiVXXQVUAcuBE51zK8zsLqDWOXdNctvxwBPOuSl9lkEREfGtPq1BOeeOB+8eFHC+c+781nVmNhrY7JxbkVz0G+AHfZkfERHpP/LWi885txV4z8wOTi46BXgzX/kRERF/yfdzRJcCvzSz14CjgJsAzGwp8CJwsJltNrML8pdFERHJhz69ByUiItJd+a5BDVoaDaP3qUx7l8qz96lMu0aFlKOORrcws8vN7A0zW21mV3SWPsWgHw2jG2V6upn908zeNrNMHWoGdZlmKc/vJsvyDTNbamZFyeUZyznFoC5P6FaZZlyeYtCXaVcoQOVuCWmjW5jZFOAi4Di8kTBmmtnkjtKn0WgYXShTMwsCC4AzgMOAr5jZYWn7G+xluoQ9y3MMcBlwbPKRjSDw5U6O3VaDvTyha2WacXna/lSmXZDPB3X7lQ5GtzgUWO6cawQws2eBs4Ef93Q0jMGgi2X6HPC2c25DcvlDwGdI6fk52Ms0yzEXAorNLAoMAd4ny7Gbsr9BXZ7Q5TLNtrx1f4O+TLtCNaieeQP4qJkNN7MhwKeA/fOcp/6uozIdA7yXkm5zcplk4ZzbAtyG95D8B0CNc+5P6Njtto7KNEtZSzcpQPWAc24NMA94EvgD8CoQy2um+rksZZpp8EF1Qe2EmQ3Fq2lOAPYDSszsXB273ddRmXa0PH857f8UoHrIOfcz59zRzrmPAruAdfnOU3/XQZlupv0V/ljSmk8ko1OBd5xzO5xzUeAR4ATQsdsDHZVph2Ut3aMA1UNmNir5egDwOWBpfnPU/3VQpn8HJpvZBDMrwLv5/Fj+ctlvbAKmmdkQ84bAP4XkDXodu93WUZl2WNbSPQpQOcoyusXDZvYm8DjwHefch52kl6SulKlzLgZcAvwR70f/K+fc6rxk3KcylWdyrMvfAK8Ar+P95u9LbpLx2JXdulKmnZS1dINGkhAREV9SDUpERHxJAUpERHxJAUpERHxJAUpERHxJAUpERHxJAUqkl5hZ3MxWJUeyftzMKrOkvcvMtlgO0y6Y2clmVmNmv+tg/RIz+0I383ySmb2ZZdR9kbxRgBLpPU3OuaOSI1nvAr6TKVEyKJ2NN7bgR3Pc93POuU/1TjZ3c849hzcOn4jvKECJ9I0X6Xgw24/jDdZ6L/CVru7YPPOTNZ/fAqNS1h1jZs+a2ctm9kcz2ze5/CNm9pqZvWhmt6rGJP2BApRIL0vOXXUKHQ/F9BW8YYWW4c3DFO7iR5wNHAwcjjen0wnJzw0DdwNfcM4dAywG5ia3uR+42Dk3HW9OIhHfU4AS6T3FZrYKqAKG4Y0U3k5yHMFPAY8652qBFcBpXfycjwJLnXNx59z7wFPJ5QcDU4Ank/mYBYxN3gsrc879LZnuf7r4eSJ5oQkLRXpPk3PuKDOrAJ7Auwf107Q0pwMVwOveeKIMARqB33bxszKNUWbA6mQtafdCbxoIkX5HNSiRXuacq8Gb+vvKDM13XwEudM6Nd86Nx5s76LTkpIG5+iveFOPB5D2mjyeX/xMYaWbTwWvyM7N/SQ4CW2dm05Lp0qchF/El1aBE+oBzbqWZvYoXSGqAY4FbgE8C30xJ12BmzwNnmVkTcKxzbnYnu18GzMAbMfst4NnkvlqS3c1/mqzFhYCfAKuBC4CFZtYAPAPU9NZ3FekrGs1cxOfM7GTgSufczB7so9Q5V5/8+wfAvs65y5PvxwNPJLvHi/iGmvhE/K8FmNLRg7o5OrP1IWLgJOBG8B7UxZsPamfPsynSu1SDEhERX1INSkREfEkBSkREfEkBSkREfEkBSkREfEkBSkREfOn/AyRw1Ehl3YPWAAAAAElFTkSuQmCC\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "HectoMap-groups\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/mkilbing/.conda/envs/shapepipe/lib/python3.8/site-packages/skymapper/map.py:198: UserWarning: Matplotlib is currently using module://matplotlib_inline.backend_inline, which is a non-GUI backend, so cannot show the figure.\n", + " self.fig.show()\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "# Image size\n", "size = cfis.size[image_type] / 2\n", @@ -515,7 +750,7 @@ "n_sp_max = 20000\n", "\n", "# Image threshold for plotting options\n", - "n_tiles_thres = 100\n", + "n_tiles_thres = 50\n", "\n", "separation = size * np.sqrt(2) * u.deg\n", "\n", @@ -609,21 +844,12 @@ " map.ax.set_ylabel('DEC [deg]')\n", " map.title(s.name)\n", "\n", - " map.focus(np.array(ra_min_max), np.array(dec_min_max), pad=0.25)\n", + " map.focus(np.array(ra_min_max), np.array(dec_min_max), pad=0.75) # pad=0.25\n", "\n", " map.savefig('{}_spherical.pdf'.format(s.name))\n", " plt.show()" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "images['u'][1].get_ID()" - ] - }, { "cell_type": "code", "execution_count": null, From 17a43b3908cc129955e6a8b723979bd2a66d587a Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Wed, 8 Jun 2022 08:17:03 +0200 Subject: [PATCH 010/217] verbose = False in mccd config test --- example/hst_north/config_MsPl_mccd.ini | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/example/hst_north/config_MsPl_mccd.ini b/example/hst_north/config_MsPl_mccd.ini index 495062878..4233679e2 100644 --- a/example/hst_north/config_MsPl_mccd.ini +++ b/example/hst_north/config_MsPl_mccd.ini @@ -6,7 +6,7 @@ [DEFAULT] # verbose mode (optional), default: True, print messages on terminal -VERBOSE = True +VERBOSE = False # Name of run (optional) default: shapepipe_run RUN_NAME = run_sp_MsPl From a0f29b3f5c6b07cd0eaf467fed8b38cb636b49a4 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Wed, 8 Jun 2022 08:32:54 +0200 Subject: [PATCH 011/217] added config file to merge UNIONS with HSC star cat --- .../hst_north/config_match_valstarcat_HSC.ini | 107 ++++++++++++++++++ 1 file changed, 107 insertions(+) create mode 100644 example/hst_north/config_match_valstarcat_HSC.ini diff --git a/example/hst_north/config_match_valstarcat_HSC.ini b/example/hst_north/config_match_valstarcat_HSC.ini new file mode 100644 index 000000000..760d67e4f --- /dev/null +++ b/example/hst_north/config_match_valstarcat_HSC.ini @@ -0,0 +1,107 @@ +# ShapePipe configuration file: match with external catalogue + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = True + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_match_ext + +# Add date and time to RUN_NAME, optional, default: True +RUN_DATETIME = False + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = match_external_runner + +# Parallel processing mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names with length matching FILE_PATTERN +INPUT_DIR = . + + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 8 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options + +[MATCH_EXTERNAL_RUNNER] + +INPUT_MODULE = last:merge_starcat_runner + +# Input file pattern(s), list of strings with length matching number of expected input file types +# Cannot contain wild cards +FILE_PATTERN = full_starcat + +# FILE_EXT (optional) list of string extensions to identify input files +FILE_EXT = .fits + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -0000000 + +# Distance tolerance in arcsec +TOLERANCE = 0.5 + +# Internal data + +# Column names for matching: ra, dec +COL_MATCH = RA, DEC + +# HDU number, optional, default = 2 +HDU = 2 + +# Processing mode, 'CLASSIC' or 'MULTI-EPOCH' +MODE = CLASSIC + +# External data + +# File path +EXTERNAL_CAT_PATH = /n17data/mkilbing/astro/data/CFIS/imaging_surveys/HECTOMAP_stars.fits + +# Column names for matching: ra, dec +EXTERNAL_COL_MATCH = ira, idec + +# Column(s) to copy to matched catalogue +#EXTERNAL_COL_COPY = CFIS_ID, RA, Dec, CFIS_U_MAG_AUTO, CFIS_U_MAGERR_AUTO, CFIS_R_MAG_AUTO, CFIS_R_MAGERR_AUTO, HSC_G_MAG_AUTO, HSC_G_MAGERR_AUTO, PS_i_stk_kron, PS_i_stk_kron_err, PS_z_stk_kron, PS_z_stk_kron_err, CFIS_R_StarGal +EXTERNAL_COL_COPY = ira, idec, imag_psf, imag_psf_err, object_id + +# HDU number, optional, default = 1 +EXTERNAL_HDU = 1 + +# Output file pattern, optional, default = 'cat_matched' +OUTPUT_FILE_PATTERN = fullstarcat_matched + +# Optional, float, can be 'nan': If not None, output not only matched objects but all, +# and mark non-matched objects with MARK_NON_MATCHED +MARK_NON_MATCHED = -99 + +# Optional, bool, add distance to output catalogue +OUTPUT_DISTANCE = True From 4ba611c1db1ffc5dd129e2b2497dbda004d5f010 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Tue, 28 Jun 2022 11:47:41 +0200 Subject: [PATCH 012/217] started to implement healpix mask output --- .../modules/random_cat_package/random_cat.py | 36 ++++++++++++++++++- shapepipe/modules/random_cat_runner.py | 13 +++++++ 2 files changed, 48 insertions(+), 1 deletion(-) diff --git a/shapepipe/modules/random_cat_package/random_cat.py b/shapepipe/modules/random_cat_package/random_cat.py index bb9f18bb5..5067322e2 100644 --- a/shapepipe/modules/random_cat_package/random_cat.py +++ b/shapepipe/modules/random_cat_package/random_cat.py @@ -10,9 +10,13 @@ import os import re -import astropy.io.fits as fits import numpy as np + +import astropy.io.fits as fits from astropy import wcs +from astropy.table import Table + +from reproject import reproject_to_healpix from shapepipe.pipeline import file_io from shapepipe.utilities import cfis @@ -57,6 +61,33 @@ def __init__( self._density = density self._w_log = w_log + def save_as_healpix(self, hdu_mask, header): + """Save As Healpix. + + Save mask as healpix FITS file. + + Parameters + ---------- + hdu_mask : HDU list + HDU with 2D pixel mask image + header : FITS header + image header with WCS information + + """ + mask_1d, footprint = reproject_to_healpix( + (hdu_mask, header), + 'galactic', + nside=self._nside_out + ) + + t = Table() + t['flux'] = mask_1d + t.meta['ORDERING'] = 'RING' + t.meta['COORDSYS'] = 'G' + t.meta['NSIDE'] = 128 + t.meta['INDXSCHM'] = 'IMPLICIT' + t.write() + def process(self): """Process. @@ -84,6 +115,9 @@ def process(self): hdu_mask = fits.open(self._input_mask_path) mask = hdu_mask[0].data + # Save mask in healpix format (if option is set) + self._save_as_healpix(hdu_mask, header) + # Number of pixels n_pix_x = mask.data.shape[0] n_pix_y = mask.data.shape[1] diff --git a/shapepipe/modules/random_cat_runner.py b/shapepipe/modules/random_cat_runner.py index aad957c21..2801f1abd 100644 --- a/shapepipe/modules/random_cat_runner.py +++ b/shapepipe/modules/random_cat_runner.py @@ -43,6 +43,19 @@ def random_cat_runner( else: density = False + # Get healpix output options + save_mask_as_healpix = config.getboolean( + module_config_sec, + 'SAVE_MASK_AS_HEALPIX' + ) + if save_mask_as_healpix: + healpix_options = {} + for option_trunc in ['FILE_BASE', 'OUT_NSIDE']: + option = f'HEALPIX_OUT_{option_trunc}' + healpix_options[option] = config.get( + module_config_sec, + option + ) # Create rand cat class instance rand_cat_inst = RandomCat( input_image_name, From 02bc376b9efc36ef28ae80e029d21020be3ccc43 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Wed, 29 Jun 2022 07:49:38 +0200 Subject: [PATCH 013/217] healpix options for random/mask --- .../modules/random_cat_package/random_cat.py | 40 +++++++++++++++---- shapepipe/modules/random_cat_runner.py | 17 ++++++-- 2 files changed, 45 insertions(+), 12 deletions(-) diff --git a/shapepipe/modules/random_cat_package/random_cat.py b/shapepipe/modules/random_cat_package/random_cat.py index 5067322e2..a0c0bf61b 100644 --- a/shapepipe/modules/random_cat_package/random_cat.py +++ b/shapepipe/modules/random_cat_package/random_cat.py @@ -33,33 +33,44 @@ class RandomCat(): Path to input image file input_mask_path : str Path to input mask file - output_path : str - Output file path for random catalogue + output_dir : str + output directory + file_number_pattern : str + shapepipe image ID string + output_file_pattern : str + Output file pattern (base name) for random catalogue n_rand : float Number of random objects on output density : bool ``n_rand`` is interpreted per square degrees if ``True`` w_log : logging.Logger Logging instance - + healpix_options : dict + Parameters for healpix output mask file """ def __init__( self, input_image_path, input_mask_path, - output_path, + output_dir, + file_number_string, + output_file_pattern, n_rand, density, w_log, + healpix_options, ): self._input_image_path = input_image_path self._input_mask_path = input_mask_path - self._output_path = output_path + self._output_dir = output_dir + self._file_number_string = file_number_string + self._output_file_pattern = output_file_pattern self._n_rand = n_rand self._density = density self._w_log = w_log + self._healpix_options = healpix_options def save_as_healpix(self, hdu_mask, header): """Save As Healpix. @@ -74,19 +85,27 @@ def save_as_healpix(self, hdu_mask, header): image header with WCS information """ + if not self._healpix_options: + return + mask_1d, footprint = reproject_to_healpix( (hdu_mask, header), 'galactic', - nside=self._nside_out + nside=self._healpix_options['OUT_NSIDE'] ) t = Table() t['flux'] = mask_1d t.meta['ORDERING'] = 'RING' t.meta['COORDSYS'] = 'G' - t.meta['NSIDE'] = 128 + t.meta['NSIDE'] = self._healpix_options['OUT_NSIDE'] t.meta['INDXSCHM'] = 'IMPLICIT' - t.write() + + output_path = ( + f'{output_dir}/{self._healpix_options["FILE_BASE"]}-' + + f'{file_number_string}.fits' + ) + t.write(output_path) def process(self): """Process. @@ -189,10 +208,15 @@ def process(self): y_rand = [] # Tile ID + output_path = ( + f'{output_dir}/{output_file_pattern}-' + + f'{file_number_string}.fits' + ) file_name = os.path.split(self._output_path)[1] file_base = os.path.splitext(file_name)[0] tile_ID_str = re.split('-', file_base)[1:] tile_id = float('.'.join(tile_ID_str)) + print('MKDEBUG', tile_id, file_number_string) tile_id_array = np.ones(n_obj) * tile_id # Write to output diff --git a/shapepipe/modules/random_cat_runner.py b/shapepipe/modules/random_cat_runner.py index 2801f1abd..7aad692a6 100644 --- a/shapepipe/modules/random_cat_runner.py +++ b/shapepipe/modules/random_cat_runner.py @@ -31,7 +31,13 @@ def random_cat_runner( input_mask_name = input_file_list[1] # Set output file name - output_path = f'{run_dirs["output"]}/random_cat-{file_number_string}.fits' + if config.has_option(module_config_sec, 'OUTPUT_FILE_PATTERN'): + output_file_pattern = config.get( + module_config_sec, + 'OUTPUT_FILE_PATTERN' + ) + else: + output_file_pattern = 'random_cat' # Get number of random objects requested on output n_rand = config.getfloat(module_config_sec, 'N_RANDOM') @@ -52,7 +58,7 @@ def random_cat_runner( healpix_options = {} for option_trunc in ['FILE_BASE', 'OUT_NSIDE']: option = f'HEALPIX_OUT_{option_trunc}' - healpix_options[option] = config.get( + healpix_options[option_trunc] = config.get( module_config_sec, option ) @@ -60,10 +66,13 @@ def random_cat_runner( rand_cat_inst = RandomCat( input_image_name, input_mask_name, - output_path, + run_dirs['output'], + file_number_string, + output_file_pattern, n_rand, density, - w_log + w_log, + healpix_options, ) # Run processing From e6ce7dc2acff74143f468eab290c5d1af60b156f Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Wed, 7 Sep 2022 09:49:15 +0200 Subject: [PATCH 014/217] Update shapepipe/modules/random_cat_package/random_cat.py Co-authored-by: Samuel Farrens --- shapepipe/modules/random_cat_package/random_cat.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/shapepipe/modules/random_cat_package/random_cat.py b/shapepipe/modules/random_cat_package/random_cat.py index a0c0bf61b..d475bd8d9 100644 --- a/shapepipe/modules/random_cat_package/random_cat.py +++ b/shapepipe/modules/random_cat_package/random_cat.py @@ -34,7 +34,7 @@ class RandomCat(): input_mask_path : str Path to input mask file output_dir : str - output directory + Output directory file_number_pattern : str shapepipe image ID string output_file_pattern : str From f24d0d2cbfe8808a5976cb0c16781e5a1d8efea1 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Wed, 7 Sep 2022 09:49:24 +0200 Subject: [PATCH 015/217] Update shapepipe/modules/random_cat_package/random_cat.py Co-authored-by: Samuel Farrens --- shapepipe/modules/random_cat_package/random_cat.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/shapepipe/modules/random_cat_package/random_cat.py b/shapepipe/modules/random_cat_package/random_cat.py index d475bd8d9..7c42458bf 100644 --- a/shapepipe/modules/random_cat_package/random_cat.py +++ b/shapepipe/modules/random_cat_package/random_cat.py @@ -46,7 +46,7 @@ class RandomCat(): w_log : logging.Logger Logging instance healpix_options : dict - Parameters for healpix output mask file + Parameters for HEALPix output mask file """ def __init__( From 302cf9af18b742f2d33053c5a67223bde33dfaf9 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Wed, 7 Sep 2022 09:49:36 +0200 Subject: [PATCH 016/217] Update shapepipe/modules/random_cat_package/random_cat.py Co-authored-by: Samuel Farrens --- shapepipe/modules/random_cat_package/random_cat.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/shapepipe/modules/random_cat_package/random_cat.py b/shapepipe/modules/random_cat_package/random_cat.py index 7c42458bf..7b7bb7eb1 100644 --- a/shapepipe/modules/random_cat_package/random_cat.py +++ b/shapepipe/modules/random_cat_package/random_cat.py @@ -36,7 +36,7 @@ class RandomCat(): output_dir : str Output directory file_number_pattern : str - shapepipe image ID string + ShapePipe image ID string output_file_pattern : str Output file pattern (base name) for random catalogue n_rand : float From 91d33a65afb25f96f3756a5d8e04990c437e6ba1 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Wed, 7 Sep 2022 09:49:45 +0200 Subject: [PATCH 017/217] Update shapepipe/modules/random_cat_package/random_cat.py Co-authored-by: Samuel Farrens --- shapepipe/modules/random_cat_package/random_cat.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/shapepipe/modules/random_cat_package/random_cat.py b/shapepipe/modules/random_cat_package/random_cat.py index 7b7bb7eb1..64f35889b 100644 --- a/shapepipe/modules/random_cat_package/random_cat.py +++ b/shapepipe/modules/random_cat_package/random_cat.py @@ -82,7 +82,7 @@ def save_as_healpix(self, hdu_mask, header): hdu_mask : HDU list HDU with 2D pixel mask image header : FITS header - image header with WCS information + Image header with WCS information """ if not self._healpix_options: From 2ebc645800fc05514a3606b4681a615a1e809a7d Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Wed, 7 Sep 2022 09:52:41 +0200 Subject: [PATCH 018/217] Modifications for PR review --- shapepipe/modules/random_cat_package/random_cat.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/shapepipe/modules/random_cat_package/random_cat.py b/shapepipe/modules/random_cat_package/random_cat.py index 64f35889b..2f24a3970 100644 --- a/shapepipe/modules/random_cat_package/random_cat.py +++ b/shapepipe/modules/random_cat_package/random_cat.py @@ -79,9 +79,9 @@ def save_as_healpix(self, hdu_mask, header): Parameters ---------- - hdu_mask : HDU list + hdu_mask : class HDUList HDU with 2D pixel mask image - header : FITS header + header : class Header Image header with WCS information """ @@ -216,7 +216,6 @@ def process(self): file_base = os.path.splitext(file_name)[0] tile_ID_str = re.split('-', file_base)[1:] tile_id = float('.'.join(tile_ID_str)) - print('MKDEBUG', tile_id, file_number_string) tile_id_array = np.ones(n_obj) * tile_id # Write to output From b9fbc4bb8554efe775383c88c2b5f5a339f644b9 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Thu, 8 Sep 2022 15:52:44 +0200 Subject: [PATCH 019/217] comments from PR review --- shapepipe/modules/mask_package/mask.py | 2 +- shapepipe/modules/setools_package/setools.py | 2 +- shapepipe/pipeline/file_io.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/shapepipe/modules/mask_package/mask.py b/shapepipe/modules/mask_package/mask.py index 5c5aaa528..6e38f45f5 100644 --- a/shapepipe/modules/mask_package/mask.py +++ b/shapepipe/modules/mask_package/mask.py @@ -234,7 +234,7 @@ def _set_parameters(self): self._header = img.get_header() img_shape = img.get_data().shape img.close() - del(img) + del img self._wcs = wcs.WCS(self._header) diff --git a/shapepipe/modules/setools_package/setools.py b/shapepipe/modules/setools_package/setools.py index c6dc47286..78feae3d1 100644 --- a/shapepipe/modules/setools_package/setools.py +++ b/shapepipe/modules/setools_package/setools.py @@ -653,7 +653,7 @@ def _make_rand_split(self): n_keep = int(np.ceil(cat_size * ratio)) mask_ratio = [] mask_left = list(range(0, cat_size)) - while(len(mask_ratio) != n_keep): + while len(mask_ratio) != n_keep: idx = np.random.randint(0, len(mask_left)) mask_ratio.append(mask_left.pop(idx)) mask_ratio = np.array(mask_ratio) diff --git a/shapepipe/pipeline/file_io.py b/shapepipe/pipeline/file_io.py index ea0ad33b4..a4f54badd 100644 --- a/shapepipe/pipeline/file_io.py +++ b/shapepipe/pipeline/file_io.py @@ -551,7 +551,7 @@ def create(self, ext_name=None, s_hdu=True, sex_cat_path=None): self._cat_data = fits.HDUList([primary_hdu, secondary_hdu]) self._cat_data.writeto(self.fullpath, overwrite=True) sex_cat.close() - del(sex_cat) + del sex_cat else: raise BaseCatalogue.catalogueFileNotFound(sex_cat_path) else: From c83a43e40f9ebb271cde5eef155d45d2e9bc3f22 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Mon, 16 Oct 2023 18:06:55 +0200 Subject: [PATCH 020/217] wcs notebook to compare different WCS conventions --- scripts/jupyter/wcs.ipynb | 542 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 542 insertions(+) create mode 100644 scripts/jupyter/wcs.ipynb diff --git a/scripts/jupyter/wcs.ipynb b/scripts/jupyter/wcs.ipynb new file mode 100644 index 000000000..7a194e1bb --- /dev/null +++ b/scripts/jupyter/wcs.ipynb @@ -0,0 +1,542 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "871d80f3-6570-4303-aeb3-f1ded8fb9d09", + "metadata": {}, + "source": [ + "# WCS issues" + ] + }, + { + "cell_type": "markdown", + "id": "26bf7743-4ad1-4275-884f-d9b68a0beb98", + "metadata": {}, + "source": [ + "## PV polynomials" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "a76aedde-b4b5-448e-902b-256952e99671", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "from copy import copy\n", + "\n", + "from astropy.io import fits\n", + "from astropy.wcs import WCS\n", + "import sip_tpv as stp\n", + "from esutil import wcsutil\n", + "\n", + "from cs_util import canfar" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "43982ec7-8172-4951-96dc-1601f6759cf1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Target file 2105209p.fits.fz exists, skipping download.\n" + ] + } + ], + "source": [ + "# Get image\n", + "\n", + "id = \"2105209\"\n", + "image_name = f\"{id}p.fits.fz\"\n", + "vos_dir = f\"vos:cfis/pitcairn/\"\n", + "canfar.download(f\"{vos_dir}/{image_name}\", image_name, verbose=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cf4c69a6-60f2-4e0f-adb6-7791bd6a839d", + "metadata": {}, + "outputs": [], + "source": [ + "# Open file\n", + "dat = fits.open(image_name)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "3a7b5e25-3c79-4771-80f1-fc4f9bdab252", + "metadata": {}, + "outputs": [], + "source": [ + "# Get main image header\n", + "header_0 = dat[0].header" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "71197a6c-2da6-4fec-a195-2f59db937f27", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: FITSFixedWarning: RADECSYS= 'FK5 ' / Coordinate system for equinox (FK4/FK5/GAPPT) \n", + "the RADECSYS keyword is deprecated, use RADESYSa. [astropy.wcs.wcs]\n", + "WARNING: FITSFixedWarning: The WCS transformation has more axes (2) than the image it is associated with (0) [astropy.wcs.wcs]\n", + "WARNING: FITSFixedWarning: 'datfix' made the change 'Invalid parameter values: MJD-OBS and DATE-OBS are inconsistent'. [astropy.wcs.wcs]\n" + ] + } + ], + "source": [ + "# Get WCS, warning might be raised\n", + "wcs_0 = WCS(header_0)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "5a62ffcf-3e9d-4a46-ad46-313d75f057e3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Show PV polynomials: empty with standard \"TAN\" convention\n", + "wcs_0.wcs.get_pv()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "73ce8d14-a3b2-4676-9717-6a932a5dc826", + "metadata": {}, + "outputs": [], + "source": [ + "# Get header of CCD extension\n", + "header_1 = fits.getheader(image_name, 1)\n", + "header_2 = fits.getheader(image_name, 2)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "f14e151e-5a8f-4eaa-87e0-0ef3187c4719", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ERROR 6 in wcsset() at line 2594 of file cextern/wcslib/C/wcs.c:\n", + "PV1_5 : Unrecognized coordinate transformation parameter.\n", + "\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: FITSFixedWarning: 'celfix' made the change 'PV1_5 : Unrecognized coordinate transformation parameter'. [astropy.wcs.wcs]\n" + ] + } + ], + "source": [ + "# Try to get WCS: will raise error\n", + "try:\n", + " wcs_1 = WCS(header_1)\n", + "except Exception as e:\n", + " print(e)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "1da0a4bf-098b-4ab5-871f-869aaaf398b8", + "metadata": {}, + "outputs": [], + "source": [ + "# Change convention\n", + "header_0[\"CTYPE1\"] = \"RA-TPV\"\n", + "header_0[\"CTYPE2\"] = \"DEC-TPV\"\n", + "\n", + "header_1[\"CTYPE1\"] = \"RA-TPV\"\n", + "header_1[\"CTYPE2\"] = \"DEC-TPV\"" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "11ccbb22-a684-480e-9f54-392338fa5b26", + "metadata": {}, + "outputs": [], + "source": [ + "wcs_0_tpv = WCS(header_0)\n", + "wcs_1_tpv = WCS(header_1)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "511bf40f-0e96-472c-bd92-327d1401c55e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Show PV polynomials: from main header still empty\n", + "wcs_0_tpv.wcs.get_pv()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "df253e8f-4e46-4f42-bc62-aae431deb7b6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[(1, 0, -0.006879527402639),\n", + " (1, 1, 1.01650122237),\n", + " (1, 2, 0.007779393963485),\n", + " (1, 3, 0.0),\n", + " (1, 4, 0.001658429411009),\n", + " (1, 5, 0.001232870290071),\n", + " (1, 6, 0.0006421933266491),\n", + " (1, 7, -0.02501061777044),\n", + " (1, 8, -0.001885796980293),\n", + " (1, 9, -0.02476149608525),\n", + " (1, 10, -0.0005079512200027),\n", + " (2, 0, -0.006116094003451),\n", + " (2, 1, 1.01486402431),\n", + " (2, 2, 0.007783886945903),\n", + " (2, 3, 0.0),\n", + " (2, 4, 0.001436380491668),\n", + " (2, 5, 0.001297612914507),\n", + " (2, 6, 0.0006046712116443),\n", + " (2, 7, -0.02474775482412),\n", + " (2, 8, -0.001916401228446),\n", + " (2, 9, -0.02480256398885),\n", + " (2, 10, -0.0004942902025637)]" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Show PV polynomials: now not empty\n", + "wcs_1_tpv.wcs.get_pv()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "12636f27-ebd0-4fd1-a373-fb2a1c316d00", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/mkilbing/.conda/envs/shapepipe/lib/python3.9/site-packages/sip_tpv/reverse.py:77: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n", + "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n", + " apcoeffs, r, rank, s = np.linalg.lstsq(a, b)\n", + "/home/mkilbing/.conda/envs/shapepipe/lib/python3.9/site-packages/sip_tpv/reverse.py:82: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n", + "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n", + " bpcoeffs, r, rank, s = np.linalg.lstsq(a, b)\n" + ] + } + ], + "source": [ + "header_1_sip = fits.getheader(image_name, 1)\n", + "\n", + "# Transform header from PV to SIP\n", + "stp.pv_to_sip(header_1_sip)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "15897199-88d8-4c94-a504-406419431b36", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "DEC--TAN-SIP\n", + "DEC-TPV\n" + ] + } + ], + "source": [ + "# Check key words\n", + "print(header_1_sip[\"CTYPE2\"])\n", + "print(header_1[\"CTYPE2\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "140fcdcc-eba6-48e3-aaca-20aad00ed8e9", + "metadata": {}, + "outputs": [], + "source": [ + "wcs_1_sip = WCS(header_1_sip)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "4cc2169b-ae94-40dc-967d-bb7df9e316c1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wcs_1_sip.wcs.get_pv()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "5a1daffb-ec3f-40b7-a8b2-6071e8132065", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "4644 2112\n" + ] + } + ], + "source": [ + "n_pix_x, n_pix_y = dat[1].data.shape\n", + "print(n_pix_x, n_pix_y)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "163c68e5-8dc4-4b6b-a893-10b01b8cbb7d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[2000. 1500.]\n", + " [2322. 1500.]\n", + " [2000. 1056.]\n", + " [2322. 1056.]]\n", + "[2000. 2322. 2000. 2322.]\n", + "[1500. 1500. 1056. 1056.]\n" + ] + } + ], + "source": [ + "# Define some coordinate pairs\n", + "x = np.array([2000, n_pix_x/2])\n", + "y = np.array([1500, n_pix_y/2])\n", + "xx, yy = np.meshgrid(x, y)\n", + "pixargs = np.vstack([xx.reshape(-1), yy.reshape(-1)]).T\n", + "print(pixargs)\n", + "print(pixargs[:,0])\n", + "print(pixargs[:,1])" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "01ac1dda-5e82-4202-b4bb-65ace2054bce", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[205.70844802, 49.69450748],\n", + " [205.72490131, 49.69446538],\n", + " [205.70815285, 49.71724671],\n", + " [205.72460613, 49.71720461]])" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Transform to world coordinates using PV\n", + "wcs_1_tpv.all_pix2world(pixargs, 1)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "0f306759-05f1-497f-beb3-f572edfec9a5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[205.96952336, 49.69219154],\n", + " [205.99483982, 49.69195117],\n", + " [205.96933441, 49.7148398 ],\n", + " [205.9946501 , 49.7145905 ]])" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Transform to world coordinates using SIP: different results\n", + "wcs_1_sip.all_pix2world(pixargs, 1)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "fb696e11-c066-4297-96c6-acc5245b2716", + "metadata": {}, + "outputs": [], + "source": [ + "# Transform sip back to pv\n", + "header_1_tpv_back = copy(header_1_sip)\n", + "stp.sip_to_pv(header_1_tpv_back)\n", + "wcs_1_tpv_back = WCS(header_1_tpv_back)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "209e5bfa-f4f5-4070-9a3b-9057ee69c697", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[205.96952336, 49.69219154],\n", + " [205.99483982, 49.69195117],\n", + " [205.96933441, 49.7148398 ],\n", + " [205.9946501 , 49.7145905 ]])" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Transform to world coordinates: same as SIP\n", + "wcs_1_tpv_back.all_pix2world(pixargs, 1)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "49f45f87-dc7d-4187-ba7d-597370a3d20b", + "metadata": {}, + "outputs": [], + "source": [ + "# Compare with Erin Shepdon's utils\n", + "header_1[\"CTYPE1\"] = \"RA- -TPV\"\n", + "header_1[\"CTYPE2\"] = \"DEC- -TPV\"\n", + "wcs1_tpv_es = wcsutil.WCS(header_1)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "dcee6113-fd9f-4c06-a5ae-e8703ff12b15", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(array([205.96952336, 205.99483982, 205.96933441, 205.9946501 ]),\n", + " array([49.69219154, 49.69195117, 49.7148398 , 49.7145905 ]))" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Transform to world coordinates: same as SIP\n", + "wcs1_tpv_es.image2sky(pixargs[:,0], pixargs[:,1])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3f75ed37-6ac1-48b4-b2fd-590c2e209224", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "shapepipe", + "language": "python", + "name": "shapepipe" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 04a5315e66800f85f4c874473877661630f40d4b Mon Sep 17 00:00:00 2001 From: Samuel Farrens Date: Thu, 7 Sep 2023 17:42:12 +0200 Subject: [PATCH 021/217] fixed bug in install_shapepipe --- install_shapepipe | 37 ++++++++++++++++++++++--------------- 1 file changed, 22 insertions(+), 15 deletions(-) diff --git a/install_shapepipe b/install_shapepipe index c370d91d0..56fa9be00 100755 --- a/install_shapepipe +++ b/install_shapepipe @@ -200,26 +200,28 @@ check_conda() { echo -ne "${RED}ERROR: Found Conda version $CONDA_VERSION but require 4.0.0 or greater.${NC}\n" exit 1 fi - # Check Conda minor version - if [ "$CONDA_VERSION_MINOR" -gt 4 ] + # Look for conda.sh file + if [ -f "$CONDA_PREFIX_1$CONDA_SH" ] then - if [ -f "$CONDA_PREFIX_1$CONDA_SH" ] - then - source "$CONDA_PREFIX_1$CONDA_SH" - elif [ -f "$CONDA_PREFIX$CONDA_SH" ] - then - source "$CONDA_PREFIX$CONDA_SH" - else - echo -ne "${RED}ERROR: Could not find $CONDA_SH in \$CONDA_PREFIX.${NC}\n" - echo -ne "${RED}Activate the base/root Conda environment and try again.${NC}\n" - exit 1 - fi - CONDA_ACTIVATE="conda activate" - CONDA_DEACTIVATE="conda deactivate" + source "$CONDA_PREFIX_1$CONDA_SH" + elif [ -f "$CONDA_PREFIX$CONDA_SH" ] + then + source "$CONDA_PREFIX$CONDA_SH" else + echo -ne "${RED}ERROR: Could not find $CONDA_SH in \$CONDA_PREFIX.${NC}\n" + echo -ne "${RED}Activate the base/root Conda environment and try again.${NC}\n" + exit 1 + fi + # Set environment activation command + if [ "$USE_CONDA_SOURCE" == TRUE ] + then CONDA_ACTIVATE="source activate" CONDA_DEACTIVATE="source deactivate" + else + CONDA_ACTIVATE="conda activate" + CONDA_DEACTIVATE="conda deactivate" fi + } # Check if a binary executable is already installed in the conda environment @@ -464,6 +466,7 @@ Options:\n \t--pipe-dir\t set the path to the ShapePipe base directory (default is \$PWD)\n \t--build-dir\t set the path to the ShapePipe build (default is \$PWD/build)\n \t--env-name\t set the name of the conda environment (default is shapepipe)\n +\t--use-conda-source\t use conda source instead of the default conda activate to activate the shapepipe environment\n \t--develop\t option to install additional development packages\n \t--vos\t\t option to install virtual observatory software\n \t--no-env\t do not build Conda environment\n @@ -525,6 +528,10 @@ case $i in ENV_NAME="${i#*=}" shift ;; + --use-conda-source) + USE_CONDA_SOURCE=TRUE + shift + ;; --develop) DEVELOP=TRUE shift From 757ef7fad45be8e4315462c66a6642ba70e01b2c Mon Sep 17 00:00:00 2001 From: sfarrens Date: Wed, 8 Nov 2023 17:34:20 +0100 Subject: [PATCH 022/217] Added development environment. --- .github/workflows/ci-dev.yml | 50 +++++++++++++++++++ .../{ci-tests.yml => ci-release.yml} | 1 - environment-dev.yml | 37 ++++++++++++++ environment.yml | 6 +++ install_shapepipe | 34 +++++++++++-- 5 files changed, 123 insertions(+), 5 deletions(-) create mode 100644 .github/workflows/ci-dev.yml rename .github/workflows/{ci-tests.yml => ci-release.yml} (98%) create mode 100644 environment-dev.yml diff --git a/.github/workflows/ci-dev.yml b/.github/workflows/ci-dev.yml new file mode 100644 index 000000000..a260f6c9d --- /dev/null +++ b/.github/workflows/ci-dev.yml @@ -0,0 +1,50 @@ +name: CI + +on: + pull_request: + branches: + - develop + +jobs: + + test-full: + name: Full Test Suite + runs-on: ${{ matrix.os }} + + strategy: + fail-fast: false + matrix: + os: [ubuntu-latest, macos-latest] + python-version: [3.8] + + steps: + - uses: actions/checkout@v2 + + - name: Install Linux dependencies + if: runner.os == 'Linux' + run: sudo apt-get install libopenblas-dev + + - name: Install macOS Dependencies + shell: bash -l {0} + if: runner.os == 'macOS' + run: | + brew install libomp + + - name: Set up conda + uses: conda-incubator/setup-miniconda@v2 + with: + auto-update-conda: true + python-version: ${{ matrix.python-version }} + auto-activate-base: true + + - name: Install package + shell: bash -l {0} + run: | + ./install_shapepipe --env-dev --develop + + - name: Run tests + shell: bash -l {0} + run: | + conda activate shapepipe + python setup.py test + shapepipe_run -c example/config.ini diff --git a/.github/workflows/ci-tests.yml b/.github/workflows/ci-release.yml similarity index 98% rename from .github/workflows/ci-tests.yml rename to .github/workflows/ci-release.yml index cc4ae4e93..ef1f6a013 100644 --- a/.github/workflows/ci-tests.yml +++ b/.github/workflows/ci-release.yml @@ -5,7 +5,6 @@ on: branches: - main - master - - develop jobs: diff --git a/environment-dev.yml b/environment-dev.yml new file mode 100644 index 000000000..b5325d02c --- /dev/null +++ b/environment-dev.yml @@ -0,0 +1,37 @@ +# ShapePipe Development Environment +# --------------------------------- +# This environment should only be used for development and testing of +# ShapePipe (i.e. nothing that could be published). Packages need only +# specify the minimum compatible versions. This environment can updated +# as needed. +name: shapepipe-dev +channels: + - conda-forge +dependencies: + - python=3.11 + - pip>=21.2.4 + - astropy>=5.0 + - autoconf>=2.71 + - automake>=1.16 + - cmake>=3.27 + - galsim>=2.5 + - joblib>=1.3 + - libtool>=2.4 + - matplotlib>=3.8 + - numba>=0.57 + - pandas>=2.1 + - pyqt5-sip>=12.12 + - pyqtgraph>=0.13 + - reproject>=0.12 + - sqlitedict>=2.1 + - termcolor>=2.3 + - tqdm>=4.66 + - treecorr>=4.3 + - pip: + - mccd==1.2.3 + - modopt==1.6.0 + - sip_tpv==1.1 + - sf_tools==2.0.4 + - git+https://github.com/CEA-COSMIC/pysap@develop + - git+https://github.com/aguinot/ngmix@stable_version + - git+https://github.com/tobias-liaudat/Stile@v0.1 diff --git a/environment.yml b/environment.yml index 9279402ef..ec8fae7a1 100644 --- a/environment.yml +++ b/environment.yml @@ -1,3 +1,9 @@ +# ShapePipe Production Environment +# -------------------------------- +# This environment should be used for any production runs of ShapePipe +# (i.e. anything that could be published). All packages are pinned to +# specific versions to maximise the reproducibility of the results. +# This environment should be updated for each release of ShapePipe. name: shapepipe channels: - conda-forge diff --git a/install_shapepipe b/install_shapepipe index 56fa9be00..4c3f512c6 100755 --- a/install_shapepipe +++ b/install_shapepipe @@ -81,6 +81,8 @@ NC='\033[0m' PIPE_DIR=$PWD BUILD_DIR=$PIPE_DIR/build ENV_NAME='shapepipe' +ENV_DEV=FALSE +USE_CONDA_SOURCE=FALSE BUILD_ENV=TRUE DEVELOP=FALSE VOS=FALSE @@ -258,6 +260,14 @@ check_binary2() { echo "" } +# Check the environment name +check_env_name() { +if [ "$ENV_DEV" == TRUE ] +then + ENV_NAME='shapepipe-dev' +fi +} + # Check if a python site-package is installed correctly in the conda environment check_site_pkg() { if compgen -G "$CONDA_PREFIX/lib/python3.*/site-packages/$1*" > /dev/null @@ -343,7 +353,9 @@ package_report() { echo 'Package Report' echo '' packages - python -m piplist + echo 'Python Package Check List:' + echo '' + site-packages echo '' exit_code } @@ -410,6 +422,7 @@ astromatic_setup() { # Function to uninstall ShapePipe and dependencies uninstall() { + check_env_name read -p "Uninstall $ENV_NAME environment [y/N]: " response response=${response:-n} if [ $response == "y" ] @@ -465,8 +478,9 @@ Options:\n \t--uninstall\t uninstall ShapePipe\n \t--pipe-dir\t set the path to the ShapePipe base directory (default is \$PWD)\n \t--build-dir\t set the path to the ShapePipe build (default is \$PWD/build)\n -\t--env-name\t set the name of the conda environment (default is shapepipe)\n -\t--use-conda-source\t use conda source instead of the default conda activate to activate the shapepipe environment\n +\t--env-name\t set the name of the Conda environment (default is shapepipe)\n +\t--env-dev\t use the developers Conda environment instead of the standard production environment\n +\t--use-conda-source\t use 'conda source' instead of the default 'conda activate' to activate the shapepipe environment\n \t--develop\t option to install additional development packages\n \t--vos\t\t option to install virtual observatory software\n \t--no-env\t do not build Conda environment\n @@ -528,6 +542,10 @@ case $i in ENV_NAME="${i#*=}" shift ;; + --env-dev) + ENV_DEV=TRUE + shift + ;; --use-conda-source) USE_CONDA_SOURCE=TRUE shift @@ -620,6 +638,9 @@ start # Check if conda is installed check_conda +# Check the Conda environment name +check_env_name + # Find the operating system case "$OSTYPE" in darwin*) @@ -652,7 +673,12 @@ setup if [ "$BUILD_ENV" == TRUE ] then report_progress 'ShapePipe Environment' - conda env create -f environment.yml -n $ENV_NAME + if [ "$ENV_DEV" == TRUE ] + then + conda env create -f environment-dev.yml -n $ENV_NAME + else + conda env create -f environment.yml -n $ENV_NAME + fi fi # Activate conda environment From d331171728891660662eb3c682029738afee4356 Mon Sep 17 00:00:00 2001 From: Samuel Farrens Date: Thu, 30 Nov 2023 17:48:04 +0100 Subject: [PATCH 023/217] added BigMac depdendency for macOS --- .github/workflows/ci-dev.yml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.github/workflows/ci-dev.yml b/.github/workflows/ci-dev.yml index a260f6c9d..984a9e7d6 100644 --- a/.github/workflows/ci-dev.yml +++ b/.github/workflows/ci-dev.yml @@ -28,7 +28,8 @@ jobs: shell: bash -l {0} if: runner.os == 'macOS' run: | - brew install libomp + brew tap sfarrens/sf + brew install bigmac libomp - name: Set up conda uses: conda-incubator/setup-miniconda@v2 From e335922cdbf5de302ff2f98c5c89bf0667fb4f16 Mon Sep 17 00:00:00 2001 From: sfarrens Date: Fri, 1 Dec 2023 10:05:55 +0100 Subject: [PATCH 024/217] activate dev environment --- .github/workflows/ci-dev.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci-dev.yml b/.github/workflows/ci-dev.yml index 984a9e7d6..9e666f776 100644 --- a/.github/workflows/ci-dev.yml +++ b/.github/workflows/ci-dev.yml @@ -46,6 +46,6 @@ jobs: - name: Run tests shell: bash -l {0} run: | - conda activate shapepipe + conda activate shapepipe-dev python setup.py test shapepipe_run -c example/config.ini From 2a7fab4824cf109933976d7bd428fb3af739fd26 Mon Sep 17 00:00:00 2001 From: sfarrens Date: Fri, 1 Dec 2023 13:11:59 +0100 Subject: [PATCH 025/217] added cs_util to dev env --- environment-dev.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/environment-dev.yml b/environment-dev.yml index b5325d02c..cd2977ab8 100644 --- a/environment-dev.yml +++ b/environment-dev.yml @@ -28,6 +28,7 @@ dependencies: - tqdm>=4.66 - treecorr>=4.3 - pip: + - cs_util==0.0.5 - mccd==1.2.3 - modopt==1.6.0 - sip_tpv==1.1 From 155f2fe10de7aa22b20ef6f5657403c9d0c32b54 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Fri, 23 Feb 2024 09:21:42 +0000 Subject: [PATCH 026/217] added COSMOS tile list --- auxdir/CFIS/tiles_202402/tiles_COSMOS.txt | 10 ++++++++++ 1 file changed, 10 insertions(+) create mode 100644 auxdir/CFIS/tiles_202402/tiles_COSMOS.txt diff --git a/auxdir/CFIS/tiles_202402/tiles_COSMOS.txt b/auxdir/CFIS/tiles_202402/tiles_COSMOS.txt new file mode 100644 index 000000000..671b879d7 --- /dev/null +++ b/auxdir/CFIS/tiles_202402/tiles_COSMOS.txt @@ -0,0 +1,10 @@ +299.183 +300.183 +301.183 +299.184 +300.184 +301.184 +299.185 +300.185 +301.185 + From c56dae0132597036fe12a982ce05cbecf93eeccf Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Fri, 23 Feb 2024 14:19:38 +0100 Subject: [PATCH 027/217] Added (back) from v1 exp mccd ini file --- example/cfis/config_exp_mccd.ini | 244 +++++++++++++++++++++++++++++++ 1 file changed, 244 insertions(+) create mode 100644 example/cfis/config_exp_mccd.ini diff --git a/example/cfis/config_exp_mccd.ini b/example/cfis/config_exp_mccd.ini new file mode 100644 index 000000000..268ad3f91 --- /dev/null +++ b/example/cfis/config_exp_mccd.ini @@ -0,0 +1,244 @@ +# ShapePipe configuration file for single-exposures, MCCD PSF model. +# Process exposures after masking, from star detection to PSF model. + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = True + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_exp_SxSePsf + +# Add date and time to RUN_NAME, optional, default: True +; RUN_DATETIME = False + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = sextractor_runner, setools_runner, + mccd_preprocessing_runner, mccd_fit_val_runner, + mccd_merge_starcat_runner, mccd_plots_runner + +# Run mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names with length matching FILE_PATTERN +INPUT_DIR = . + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 1 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options + +[SEXTRACTOR_RUNNER] + +# Somehow this works but not +# - omitting +# - $SP_RUN/output +#INPUT_DIR = . + +# Input from two modules +INPUT_MODULE = split_exp_runner, mask_runner + +# Read pipeline flag files created by mask module +FILE_PATTERN = image, weight, pipeline_flag + +NUMBERING_SCHEME = -0000000-0 + +# SExtractor executable path +EXEC_PATH = sex + +# SExtractor configuration files +DOT_SEX_FILE = $SP_CONFIG/default_exp.sex +DOT_PARAM_FILE = $SP_CONFIG//default.param +DOT_CONV_FILE = $SP_CONFIG/default.conv + +# Use input weight image if True +WEIGHT_IMAGE = True + +# Use input flag image if True +FLAG_IMAGE = True + +# Use input PSF file if True +PSF_FILE = False + +# Use distinct image for detection (SExtractor in +# dual-image mode) if True. +DETECTION_IMAGE = False + +# Distinct weight image for detection (SExtractor +# in dual-image mode) +DETECTION_WEIGHT = False + +# True if photometry zero-point is to be read from exposure image header +ZP_FROM_HEADER = True + +# If ZP_FROM_HEADER is True, zero-point key name +ZP_KEY = PHOTZP + +# Background information from image header. +# If BKG_FROM_HEADER is True, background value will be read from header. +# In that case, the value of BACK_TYPE will be set atomatically to MANUAL. +# This is used e.g. for the LSB images. +BKG_FROM_HEADER = False +# LSB images: +# BKG_FROM_HEADER = True + +# If BKG_FROM_HEADER is True, background value key name +# LSB images: +#BKG_KEY = IMMODE + +# Type of image check (optional), default not used, can be a list of +# BACKGROUND, BACKGROUND_RMS, INIBACKGROUND, MINIBACK_RMS, -BACKGROUND, +# FILTERED, OBJECTS, -OBJECTS, SEGMENTATION, APERTURES +CHECKIMAGE = BACKGROUND + +# File name suffix for the output sextractor files (optional) SUFFIX = tile +SUFFIX = sexcat + +## Post-processing + +# Not required for single exposures +MAKE_POST_PROCESS = FALSE + + +[SETOOLS_RUNNER] + +INPUT_MODULE = sextractor_runner + +# Note: Make sure this doe not match the SExtractor background images +# (sexcat_background*) +FILE_PATTERN = sexcat_sexcat + +NUMBERING_SCHEME = -0000000-0 + +# SETools config file +SETOOLS_CONFIG_PATH = $SP_CONFIG/star_selection.setools + + +[MCCD_PREPROCESSING_RUNNER] + +# Path to MCCD config file +CONFIG_PATH = $SP_CONFIG/config_MCCD.ini + +MODE = FIT_VALIDATION + +VERBOSE = False + +INPUT_DIR = last:setools_runner + +# Input are individual CCDs, thus single-exposure single-HDU images +NUMBERING_SCHEME = -0000000-0 + +FILE_PATTERN = star_split_ratio_80, star_split_ratio_20 + +FILE_EXT = .fits, .fits + + +[MCCD_FIT_VAL_RUNNER] + +# Path to MCCD config file +CONFIG_PATH = $SP_CONFIG/config_MCCD.ini + +MODE = FIT_VALIDATION + +VERBOSE = False + +NUMBERING_SCHEME = -0000000 + + +[MCCD_MERGE_STARCAT_RUNNER] + +# Path to MCCD config file +CONFIG_PATH = $SP_CONFIG/config_MCCD.ini + +MODE = FIT_VALIDATION + +VERBOSE = False + +NUMBERING_SCHEME = -0000000 + + +[MCCD_PLOTS_RUNNER] + +# Path to MCCD config file +CONFIG_PATH = $SP_CONFIG/config_MCCD.ini + +MODE = FIT_VALIDATION + +VERBOSE = False + +# Now MCCD has created a focal-plane PSF model, including all CCDS per images, +# thus single-exposure files +NUMBERING_SCHEME = -0000000 + +PLOT_MEANSHAPES = True + +# X_GRID, Y_GRID: correspond to the number of bins in each direction of each +# CCD from the focal plane. Ex: each CCD will be binned in 5x10 regular grids. +X_GRID = 5 +Y_GRID = 10 + +PLOT_HISTOGRAMS = True + +# REMOVE_OUTLIERS: Remove validated stars that are outliers in terms of shape +# before drawing the plots. +REMOVE_OUTLIERS = False + +PLOT_RHO_STATS = True + +# RHO_STATS_STYLE: can be 'HSC' or 'DES' +RHO_STATS_STYLE = HSC + + +[MCCD_INTERP_RUNNER] + +# MODE: Define the way the MCCD interpolation will run. +# CLASSIC for classical run. +# MULTI-EPOCH for multi epoch. +MODE = CLASSIC + +# Position parameter names +# for multi-epoch XWIN_WORLD,YWIN_WORLD +# For classical XWIN_IMAGE,YWIN_IMAGE: +POSITION_PARAMS = XWIN_IMAGE,YWIN_IMAGE + +# Get PSF shapes calculated and saved on the output dict +GET_SHAPES = True + +# Directory with PSF models +PSF_MODEL_DIR = /Users/tliaudat/Documents/PhD/codes/venv_p3/MCCD_pipeline_integration/test_val_data/fitted_model/ + +# PSF model patterns +PSF_MODEL_PATTERN = fitted_model + +# PSF model separator +PSF_MODEL_SEPARATOR = - + +# For multi-epoch purposes +ME_LOG_WCS = $SP_RUN/output/log_exp_headers.sqlite From 33b5b75f6f7252f01b78fc52c82fa43311b3449e Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Wed, 6 Mar 2024 10:16:41 +0100 Subject: [PATCH 028/217] Added COSMOS tile list --- auxdir/CFIS/tiles_202402/tiles_COSMOS.txt | 1 - auxdir/CFIS/tiles_cuts.txt | 12055 -------------------- environment.yml | 1 + example/cfis/config_exp_mccd.ini | 4 +- scripts/python/get_number_objects.py | 97 +- scripts/sh/job_sp_canfar.bash | 2 +- 6 files changed, 13 insertions(+), 12147 deletions(-) delete mode 100644 auxdir/CFIS/tiles_cuts.txt diff --git a/auxdir/CFIS/tiles_202402/tiles_COSMOS.txt b/auxdir/CFIS/tiles_202402/tiles_COSMOS.txt index 671b879d7..ff9d7e4cf 100644 --- a/auxdir/CFIS/tiles_202402/tiles_COSMOS.txt +++ b/auxdir/CFIS/tiles_202402/tiles_COSMOS.txt @@ -7,4 +7,3 @@ 299.185 300.185 301.185 - diff --git a/auxdir/CFIS/tiles_cuts.txt b/auxdir/CFIS/tiles_cuts.txt deleted file mode 100644 index b1c181630..000000000 --- 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a/example/cfis/config_exp_mccd.ini +++ b/example/cfis/config_exp_mccd.ini @@ -21,7 +21,7 @@ RUN_NAME = run_sp_exp_SxSePsf # Module name, single string or comma-separated list of valid module runner names MODULE = sextractor_runner, setools_runner, mccd_preprocessing_runner, mccd_fit_val_runner, - mccd_merge_starcat_runner, mccd_plots_runner + merge_starcat_runner, mccd_plots_runner # Run mode, SMP or MPI MODE = SMP @@ -129,7 +129,7 @@ MAKE_POST_PROCESS = FALSE [SETOOLS_RUNNER] -INPUT_MODULE = sextractor_runner +INPUT_MODULE = last:sextractor_runner # Note: Make sure this doe not match the SExtractor background images # (sexcat_background*) diff --git a/scripts/python/get_number_objects.py b/scripts/python/get_number_objects.py index 0f3ae41b1..073512d9f 100755 --- a/scripts/python/get_number_objects.py +++ b/scripts/python/get_number_objects.py @@ -177,94 +177,6 @@ class param return param -def read_param_file(path, verbose=False): - """Return parameter list read from file - - Parameters - ---------- - path: str - input file name - verbose: bool, optional, default=False - verbose output if True - - Returns - ------- - list of str - parameter names - - """ - param_list = [] - - if path: - - with open(path) as f: - for line in f: - if line.startswith('#'): - continue - entry = line.rstrip() - if not entry or entry == '': - continue - param_list.append(entry) - - if verbose: - if len(param_list) > 0: - print(f'Copying {len(param_list)} columns', end='') - else: - print('Copying all columns', end='') - print(' into merged catalogue') - - # Check for multiples - multiples = [] - for param in param_list: - if param_list.count(param) > 1: - multiples.append(param) - - if len(multiples) > 0: - print('The following parameters are more than one times ' - 'in the parameter file: ', end='') - for m in multiples: - print(m, end=' ') - print() - raise ValueError('Multiple identical keys found') - - return param_list - - -def get_data(path, hdu_num, param_list): - """Return data of selected columns from FITS file. - - Parameters - ---------- - path: str - input file name - hdu_num: int - HDU number - param_list: list of str - parameters to be extracted. If none, copy - all columns - - Returns - ------- - numpy array - data columns - - """ - hdu_list = fits.open(path) - hdu = hdu_list[hdu_num] - - if param_list: - cols = [] - for p in param_list: - cols.append(hdu.columns[p]) - coldefs = fits.ColDefs(cols) - hdu_new = fits.BinTableHDU.from_columns(coldefs) - d = hdu_new.data - else: - d = hdu.data - - return d - - def main(argv=None): # Set default parameters @@ -289,18 +201,26 @@ def main(argv=None): # For v2 module = "sextractor_runner" + + # Get all sextractor output directories all_dir = get_all_dirs(run_log_file, module) paths = [] + + # Find tile runs for path in all_dir: if "run_sp_tile_Sx" in path: paths.append(path) paths = sorted(paths) + + # Get latest run last_dir = paths[-1] + # Get all output SExtractor catalogues file_list = glob.glob(f'{last_dir}/{pattern}*.fits') if len(file_list) == 0: raise ValueError(f'No files {last_dir}/{pattern}*.fits found') + # Add up number of objects over all catalogues n_obj = 0 hdu_no = -1 for fpath in file_list: @@ -308,6 +228,7 @@ def main(argv=None): header = hdu_list[-1].header n_obj += int(header['NAXIS2']) + # Compute average n_obj = int(n_obj / len(file_list)) print(n_obj) diff --git a/scripts/sh/job_sp_canfar.bash b/scripts/sh/job_sp_canfar.bash index f2b9c03d1..7836a4f61 100755 --- a/scripts/sh/job_sp_canfar.bash +++ b/scripts/sh/job_sp_canfar.bash @@ -62,7 +62,7 @@ usage="Usage: $(basename "$0") [OPTIONS] [TILE_ID] \tmax number of objects per parallel shape module call, \n \tdefault: unlimited; has precedent over --nsh_step\n TILE_ID_i\n - \ttile ID(s), e.g. 283.247 214.242\n + \ttile ID(s), e.g. 283.247 214.242, only with '-j 1'\n " ## Help if no arguments From fde8fe9a00f3c221f4d3d5d8fbed41c6cef04975 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Wed, 6 Mar 2024 11:03:58 +0100 Subject: [PATCH 029/217] Added DR5 tile list file --- auxdir/CFIS/tiles_202402/tiles_all.txt | 20859 +++++++++++++++++++++++ 1 file changed, 20859 insertions(+) create mode 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+662.193 +663.182 +663.183 +663.184 +663.185 +663.186 +663.187 +663.188 +663.189 +663.190 +663.191 +664.183 +664.184 +664.185 +664.186 +664.187 +664.188 +664.189 +665.185 +665.186 +665.187 From 21deebc692952574b2641628d8ad4cb64cb72551 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Wed, 3 Apr 2024 09:29:32 +0200 Subject: [PATCH 030/217] env-dev updated to min versions on canfar (docker image SP 1.1) --- environment-dev.yml | 30 +++++++++++++++--------------- 1 file changed, 15 insertions(+), 15 deletions(-) diff --git a/environment-dev.yml b/environment-dev.yml index cd2977ab8..703c19172 100644 --- a/environment-dev.yml +++ b/environment-dev.yml @@ -8,29 +8,29 @@ name: shapepipe-dev channels: - conda-forge dependencies: - - python=3.11 - - pip>=21.2.4 - - astropy>=5.0 + - python>=3.9.18 + - pip>=23.3.1 + - astropy>=5.1.1 - autoconf>=2.71 - - automake>=1.16 - - cmake>=3.27 - - galsim>=2.5 - - joblib>=1.3 + - automake>=1.16.5 + - cmake>=3.27.7 + - galsim>=2.5.1 + - joblib>=1.3.2 - libtool>=2.4 - - matplotlib>=3.8 - - numba>=0.57 + - matplotlib>=3.8.1 + - numba>=0.58.1 - pandas>=2.1 - - pyqt5-sip>=12.12 - - pyqtgraph>=0.13 + - pyqt5-sip>=12.13 + - pyqtgraph>=0.13.3 - reproject>=0.12 - sqlitedict>=2.1 - termcolor>=2.3 - - tqdm>=4.66 - - treecorr>=4.3 + - tqdm>=4.66.1 + - treecorr>=4.3.3 - pip: - cs_util==0.0.5 - - mccd==1.2.3 - - modopt==1.6.0 + - mccd==1.2.4 + - modopt==1.6.1 - sip_tpv==1.1 - sf_tools==2.0.4 - git+https://github.com/CEA-COSMIC/pysap@develop From f2a5a069497fb071e8489452ebd52d8fc9cdf55c Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Wed, 10 Apr 2024 16:32:13 +0200 Subject: [PATCH 031/217] minor changes --- install_shapepipe | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/install_shapepipe b/install_shapepipe index e169f4859..85deab531 100755 --- a/install_shapepipe +++ b/install_shapepipe @@ -119,7 +119,7 @@ check_conda() { CONDA_VERSION_MAJOR=$(cut -d'.' -f1 <<<$CONDA_VERSION) CONDA_VERSION_MINOR=$(cut -d'.' -f2 <<<$CONDA_VERSION) CONDA_VERSION_PATCH=$(cut -d'.' -f3 <<<$CONDA_VERSION) - CONDA_SH=/opt/conda/etc/profile.d/conda.sh + CONDA_SH=/etc/profile.d/conda.sh # Check Conda major version if [ "$CONDA_VERSION_MAJOR" -lt 4 ] then @@ -127,14 +127,14 @@ check_conda() { exit 1 fi # Look for conda.sh file - if [ -f "$CONDA_PREFIX_1$CONDA_SH" ] + if [ -f "/opt/conda/$CONDA_SH" ] then - source "$CONDA_PREFIX_1$CONDA_SH" + source "/opt/conda/$CONDA_SH" elif [ -f "$CONDA_PREFIX$CONDA_SH" ] then source "$CONDA_PREFIX$CONDA_SH" else - echo -ne "${RED}ERROR: Could not find $CONDA_SH in \$CONDA_PREFIX.${NC}\n" + echo -ne "${RED}ERROR: Could not find $CONDA_SH in /opt/conda or \$CONDA_PREFIX.${NC}\n" echo -ne "${RED}Activate the base/root Conda environment and try again.${NC}\n" exit 1 fi From df90225251145505f3ea5a1c0738af394d3dc269 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Tue, 14 May 2024 08:14:25 +0000 Subject: [PATCH 032/217] Improved error msg for empty process list and -e flag --- shapepipe/pipeline/file_handler.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/shapepipe/pipeline/file_handler.py b/shapepipe/pipeline/file_handler.py index 66baf12e6..2d7bb90ce 100644 --- a/shapepipe/pipeline/file_handler.py +++ b/shapepipe/pipeline/file_handler.py @@ -1136,7 +1136,11 @@ def _format_process_list( process_list.append(process_items) if len(process_list) == 0: - raise ValueError("Empty process list") + msg = "Empty process list" + if self._exclusive is not None: + if len(number_list) > 0: + msg = f"{msg}. No input file found matching exclusive ID" + raise ValueError(msg return process_list From b7cf7ad69419b96ae392202571562d305ba6dd03 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Mon, 20 May 2024 10:16:32 +0000 Subject: [PATCH 033/217] canfar job descr and summary updated --- docs/source/pipeline_canfar.md | 30 ++++++++++++++----- shapepipe/utilities/summary.py | 55 +++++++++++++++++++--------------- 2 files changed, 54 insertions(+), 31 deletions(-) diff --git a/docs/source/pipeline_canfar.md b/docs/source/pipeline_canfar.md index 36a1a2025..cb60c4e71 100644 --- a/docs/source/pipeline_canfar.md +++ b/docs/source/pipeline_canfar.md @@ -21,6 +21,8 @@ ln -s ~/shapepipe/auxdir/CFIS/tiles_202106/tiles_$patch.txt tile_numbers.txt ### Create and link to central image storage directory mkdir -p ~/cosmostat/v2/data_tiles/$patch ln -s ~/cosmostat/v2/data_tiles/$patch data_tiles +mkdir -p ~/cosmostat/v2/data_exp/$patch +ln -s ~/cosmostat/v2/data_tiles/$patch data_exp ### Download and move tiles ln -s ~/shapepipe/example/cfis @@ -28,9 +30,8 @@ mkdir -p output export SP_RUN=`pwd` shapepipe_run -c cfis/config_Git_vos.ini -mv -i output/run_sp_Git_*/get_images_runner/output/CFIS.???.???.*fits* data_tiles -rm -rf output/run_sp_tiles_Git_* -update_run_log_file.py +ls -l data_tiles/ | wc; mv -i output/run_sp_Git_*/get_images_runner/output/CFIS.???.???.*fits* data_tiles; ls -l data_tiles/ | wc +rm -rf output/run_sp_Git_*; update_run_log_file.py # repeat the above block ### Find exposures; this run can be stopped after Fe @@ -42,7 +43,8 @@ shapepipe_run -c cfis/config_Gie_vos.ini mv -i output/run_sp_Gie_*/get_images_runner/output/*.fits*fz data_exp rm -rf output/run_sp_Gie_* update_run_log_file.py -# repeat the above +# repeat the above; or: +while true; do shapepipe_run -c cfis/config_Gie_vos.ini; ls -l data_exp/ | wc; mv -i output/run_sp_Gie_*/get_images_runner/output/*.fits*fz data_exp; ls -l data_exp/ | wc; rm -rf output/run_sp_Git_*; update_run_log_file.py; done ### Create links (and re-run Fe, not necessary) job_sp_canfar.bash -p $psf `cat tile_numbers.txt` -j 1 -r symlink @@ -51,15 +53,21 @@ job_sp_canfar.bash -p $psf `cat tile_numbers.txt` -j 1 -r symlink job_sp_canfar.bash -p $psf -n $N_SMP -j 2 # Mask tiles + +## Run repeatedly if necessary job_sp_canfar.bash -p $psf -n $N_SMP -j 4 -# If not finshed: -combine_runs.bash -p psfex -c flag -mv output/run_sp_combined_flag output/run_sp_exp_Ma +## Combine all runs +combine_runs.bash -c flag_tile # Mask exposures + +## Run repeatedly if necessary job_sp_canfar.bash -p $psf -n $N_SMP -j 8 +# Combine all runs +combine_runs.bash -c flag_exp + # Tile detection curl_canfar_local.sh -j 16 -f tile_numbers.txt -k tile -p $psf -N $N_SMP @@ -89,7 +97,15 @@ combine_runs.bash -c final -p psfex merge_final_cat -i output/run_sp_combined_final/make_catalog_runner/output -p cfis/final_cat.param -v +# Star catalogue +combine_runs.bash -p $psf -c psf +shapepipe_run -c $SP_CONFIG/config_MsPl_$psf.ini + # Delete jobs SSL=~/.ssl/cadcproxy.pem SESSION=https://ws-uv.canfar.net/skaha/v0/session for ID in `cat session_IDs.txt`; do echo $ID; curl -X DELETE -E $SSL $SESSION/$ID; done + +# Run in terminal in parallel (-e needs to be last arg) +cat all.txt | xargs -P 16 -n 1 init_run_exclusive_canfar.sh -j 64 -p psfex -k tile -f summary/missing_job_64_all.txt -n -e + diff --git a/shapepipe/utilities/summary.py b/shapepipe/utilities/summary.py index 8a1776905..1a5f1efec 100755 --- a/shapepipe/utilities/summary.py +++ b/shapepipe/utilities/summary.py @@ -252,8 +252,11 @@ def print_stats_header(self): Print overall header information for stats output. """ + #logging.info( + #"module expected found miss_expl" + #+ " missing uniq_miss fr_found" logging.info( - "module expected found miss_expl" + "module expected found" + " missing uniq_miss fr_found" ) logging.info("=" * 100) @@ -297,7 +300,7 @@ def print_stats( logging.info( f"{module:30s} {n_expected:9d} {n_found:9d}" - + f" {n_missing_explained:9d} {n_missing:9d}" + + f" {n_missing:9d}" + f" {n_missing_per_mult:9.1f} {fraction_found:9.1%}" ) @@ -357,9 +360,16 @@ def write_IDs_to_file(self, output_path, IDs): """ IDs_dot = self.replace_dash_dot_if_tile(IDs) - with open(output_path, "w") as f_out: - for ID in IDs_dot: - print(ID, file=f_out) + if len(IDs_dot) > 0: + #print("MKDEBUG writing", output_path, len(IDs_dot)) + # Write IDs to file + with open(output_path, "w") as f_out: + for ID in IDs_dot: + print(ID, file=f_out) + elif os.path.exists(output_path): + # Remove preivous obsolete ID file + #print("MKDEBUG removing ", output_path) + os.unlink(output_path) def output_missing( self, @@ -404,19 +414,20 @@ def output_missing( missing_IDs.append(ID) n_all = len(missing_IDs) + #print("MKDEBUG ", module, len(IDs), n_all, len(list_expected)) missing_IDs_unique = self.get_unique(missing_IDs) - n_unique = len(missing_IDs_unique) - if n_unique > 0: - if not self._output_path_missing_IDs: - output_path = ( - f"{self._path_main}/summary/missing_job_{self._bit}" - + f"_{module}.txt" - ) - else: - output_path = self._output_path_missing_IDs[idx] - #print("MKDEBUG", missing_IDs_unique) - self.write_IDs_to_file(output_path, missing_IDs_unique) + if not self._output_path_missing_IDs: + # Default name using bit and module + output_path = ( + f"{self._path_main}/summary/missing_job_{self._bit}" + + f"_{module}.txt" + ) + else: + # User-defined name (e.g. ngmix_runner_X) + output_path = self._output_path_missing_IDs[idx] + #print("MKDEBUG output_missing", module, output_path, len(missing_IDs_unique)) + self.write_IDs_to_file(output_path, missing_IDs_unique) return missing_IDs_unique @@ -427,12 +438,7 @@ def output_missing_job(self): missing_IDs_all = set(self._missing_IDs_job) - if len(missing_IDs_all) > 0: - self.write_IDs_to_file(output_path, missing_IDs_all) - else: - #logging.warning("no missing IDs in output_missing_job") - if os.path.exists(output_path): - os.unlink(output_path) + self.write_IDs_to_file(output_path, missing_IDs_all) @classmethod def get_last_full_path(self, base_and_subdir, matches): @@ -675,7 +681,7 @@ def get_par_runtime(par_runtime, key, kind="n"): combined_key == "list_3*n_shdus+n_exposures" and combined_key not in par_runtime ): - print("{combined_key} not set, TBD") + print(f"{combined_key} not set, TBD") return [] return par_runtime[combined_key] @@ -692,6 +698,7 @@ def print_par_runtime(par_runtime, verbose=True): if not key.startswith("list"): logging.info(f"{key:30s} {value:6d}") else: - logging.info(f"{key:29s} {len(value):6d} entries") + #logging.info(f"{key:30s} {len(value):6d} entries") + pass logging.info("===========") logging.info("") From df983c4daf95bf904ffbdc42269beb326125a1a4 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Mon, 20 May 2024 10:18:10 +0000 Subject: [PATCH 034/217] fixed err msg --- shapepipe/pipeline/file_handler.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/shapepipe/pipeline/file_handler.py b/shapepipe/pipeline/file_handler.py index 2d7bb90ce..03c9c76ab 100644 --- a/shapepipe/pipeline/file_handler.py +++ b/shapepipe/pipeline/file_handler.py @@ -1140,7 +1140,7 @@ def _format_process_list( if self._exclusive is not None: if len(number_list) > 0: msg = f"{msg}. No input file found matching exclusive ID" - raise ValueError(msg + raise ValueError(msg) return process_list From cca5694d24037b69c6f1f23f28f601550d62beda Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Mon, 20 May 2024 10:18:30 +0000 Subject: [PATCH 035/217] config files updated --- example/cfis/config_Fe.ini | 72 ++++++++++++++++++ example/cfis/config_Gie_symlink.ini | 97 +++++++++++++++++++++++++ example/cfis/config_exp_Ma_onthefly.ini | 3 + example/cfis/config_exp_Sp.ini | 74 +++++++++++++++++++ example/cfis/config_tile_Sx.ini | 2 +- 5 files changed, 247 insertions(+), 1 deletion(-) create mode 100644 example/cfis/config_Fe.ini create mode 100644 example/cfis/config_Gie_symlink.ini create mode 100644 example/cfis/config_exp_Sp.ini diff --git a/example/cfis/config_Fe.ini b/example/cfis/config_Fe.ini new file mode 100644 index 000000000..240c3a747 --- /dev/null +++ b/example/cfis/config_Fe.ini @@ -0,0 +1,72 @@ +# ShapePipe configuration file for: find exposures + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = False + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_Fe + +# Add date and time to RUN_NAME, optional, default: False +RUN_DATETIME = True + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = find_exposures_runner + +# Parallel processing mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names +INPUT_DIR = $SP_RUN + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 1 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options + +# Get tiles +[FIND_EXPOSURES_RUNNER] + +INPUT_DIR = run_sp_Git:get_images_runner_run_1 + +FILE_PATTERN = CFIS_image + +FILE_EXT = .fits + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -000-000 + +# Column number of exposure name in FITS header +COLNUM = 3 + +# Prefix to remove from exposure name +EXP_PREFIX = p + diff --git a/example/cfis/config_Gie_symlink.ini b/example/cfis/config_Gie_symlink.ini new file mode 100644 index 000000000..e6fa49f4c --- /dev/null +++ b/example/cfis/config_Gie_symlink.ini @@ -0,0 +1,97 @@ +# ShapePipe configuration file for: get images + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = False + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_Gie + +# Add date and time to RUN_NAME, optional, default: False +RUN_DATETIME = True + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = get_images_runner + +# Parallel processing mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names +INPUT_DIR = $SP_RUN + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 1 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options + +# Get exposures +[GET_IMAGES_RUNNER] + +INPUT_DIR = last:find_exposures_runner + +FILE_PATTERN = exp_numbers + +FILE_EXT = .txt + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -000-000 + + +# Paths + +# Output path (optional, default is [FILE]:OUTPUT_DIR +# OUTPUT_PATH = input_images + +# Input path where original images are stored. Can be local path or vos url. +# Single string or list of strings +INPUT_PATH = $SP_RUN/data_exp, $SP_RUN/data_exp, $SP_RUN/data_exp + +# Input file pattern including tile number as dummy template +INPUT_FILE_PATTERN = 000000, 000000.weight, 000000.flag + +# Input file extensions +INPUT_FILE_EXT = .fits.fz, .fits.fz, .fits.fz + +# Input numbering scheme, python regexp +INPUT_NUMBERING = \d{6} + +# Output file pattern without number +OUTPUT_FILE_PATTERN = image-, weight-, flag- + +# Method to retrieve images, one in 'vos', 'symlink' +RETRIEVE = symlink + +# If RETRIEVE=vos, number of attempts to download +# Optional, default=3 +N_TRY = 3 + +# Retrieve command options, optional +RETRIEVE_OPTIONS = --certfile=$HOME/.ssl/cadcproxy.pem diff --git a/example/cfis/config_exp_Ma_onthefly.ini b/example/cfis/config_exp_Ma_onthefly.ini index 5f629500d..a2ff95fe6 100644 --- a/example/cfis/config_exp_Ma_onthefly.ini +++ b/example/cfis/config_exp_Ma_onthefly.ini @@ -74,3 +74,6 @@ USE_EXT_STAR = False # File name suffix for the output flag files (optional) PREFIX = pipeline + +# Path to check for existing output mask files +CHECK_EXISTING_DIR = $SP_RUN/output/run_sp_Ma_exp/mask_runner/output diff --git a/example/cfis/config_exp_Sp.ini b/example/cfis/config_exp_Sp.ini new file mode 100644 index 000000000..491b17bdf --- /dev/null +++ b/example/cfis/config_exp_Sp.ini @@ -0,0 +1,74 @@ +# ShapePipe configuration file for single-exposures, +# split images + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = True + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_exp_Sp + +# Add date and time to RUN_NAME, optional, default: True +; RUN_DATETIME = False + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = split_exp_runner + +# Run mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names with length matching FILE_PATTERN +INPUT_DIR = . + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 8 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options + +[SPLIT_EXP_RUNNER] + +INPUT_DIR = last:get_images_runner_run_2 + +FILE_PATTERN = image, weight, flag + +# Matches compressed single-exposure files +FILE_EXT = .fitsfz, .fitsfz, .fitsfz + +NUMBERING_SCHEME = -0000000 + +# OUTPUT_SUFFIX, actually file name prefixes. +# Expected keyword "flag" will lead to a behavior where the data are saved as int. +# The code also expects the image data to use the "image" suffix +# (default value in the pipeline). +OUTPUT_SUFFIX = image, weight, flag + +# Number of HDUs/CCDs of mosaic +N_HDU = 40 diff --git a/example/cfis/config_tile_Sx.ini b/example/cfis/config_tile_Sx.ini index a079c2488..42b3a09a9 100644 --- a/example/cfis/config_tile_Sx.ini +++ b/example/cfis/config_tile_Sx.ini @@ -45,7 +45,7 @@ OUTPUT_DIR = $SP_RUN/output [JOB] # Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial -SMP_BATCH_SIZE = 2 +SMP_BATCH_SIZE = 16 # Timeout value (optional), default is None, i.e. no timeout limit applied TIMEOUT = 96:00:00 From 6b2f4989260692ed54aaf18bb79da6ad7ef8319e Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Mon, 20 May 2024 10:18:54 +0000 Subject: [PATCH 036/217] summary updated --- scripts/python/summary_params_pre_v2.py | 17 +++++++---------- scripts/python/summary_run.py | 12 +++++++++++- 2 files changed, 18 insertions(+), 11 deletions(-) diff --git a/scripts/python/summary_params_pre_v2.py b/scripts/python/summary_params_pre_v2.py index dc16b59a2..6d16e4270 100644 --- a/scripts/python/summary_params_pre_v2.py +++ b/scripts/python/summary_params_pre_v2.py @@ -92,21 +92,18 @@ def set_jobs_v2_pre_v2(patch, verbose): 2, ["run_sp_Uz", "run_sp_exp_SpMh", "run_sp_exp_SpMh"], ["uncompress_fits_runner", "merge_headers_runner", "split_exp_runner"], - ["tile_IDs", 0, "3*n_shdus+n_exposures"], + #["tile_IDs", 0, "3*n_shdus+n_exposures"], + ["tile_IDs", 0, "exposures"], + n_mult=[1, 1, 121], path_main=path_main, path_left="output", verbose=verbose, ) - run_dir_mask_tiles = "run_sp_tile_Ma" - run_dir_mask_exp = "run_sp_exp_Ma" - mask_module_tiles = "mask_runner" - mask_module_exp = "mask_runner" - jobs["4"] = job_data( 4, - run_dir_mask_tiles, - [mask_module_tiles], + ["run_sp_Ma_tile"], + ["mask_runner"], ["tile_IDs"], path_main=path_main, path_left="output", @@ -115,8 +112,8 @@ def set_jobs_v2_pre_v2(patch, verbose): jobs["8"] = job_data( 8, - run_dir_mask_exp, - [mask_module_exp], + ["run_sp_Ma_exp"], + ["mask_runner"], ["shdus"], path_main=path_main, path_left="output", diff --git a/scripts/python/summary_run.py b/scripts/python/summary_run.py index 331764b24..5b2ff671d 100755 --- a/scripts/python/summary_run.py +++ b/scripts/python/summary_run.py @@ -12,6 +12,11 @@ def main(argv=None): patch = argv[1] + if len(argv) == 3: + job_exclusive = argv[2] + else: + job_exclusive = None + verbose = False jobs, list_tile_IDs_dot = set_jobs_v2_pre_v2(patch, verbose) @@ -27,7 +32,10 @@ def main(argv=None): jobs[key].print_intro() jobs[key].check_numbers(par_runtime=par_runtime, indices=[0, 1]) - all_exposures = get_all_exposures(jobs[key]._paths_in_dir[1], verbose=True) + all_exposures = get_all_exposures( + jobs[key]._paths_in_dir[1], + verbose=True + ) par_runtime["n_exposures"] = len(all_exposures) par_runtime["list_exposures"] = all_exposures @@ -43,6 +51,8 @@ def main(argv=None): _ = keys.pop(0) for key in keys: + if job_exclusive and key != job_exclusive: + continue jobs[key].print_intro() jobs[key].check_numbers(par_runtime=par_runtime) From 86816d606e8d8d04e324b18ff7ef05f2fa2c1b28 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Mon, 20 May 2024 10:20:26 +0000 Subject: [PATCH 037/217] spread model: added check on non-positive object size --- .../spread_model_package/spread_model.py | 34 +++++++++++-------- 1 file changed, 19 insertions(+), 15 deletions(-) diff --git a/shapepipe/modules/spread_model_package/spread_model.py b/shapepipe/modules/spread_model_package/spread_model.py index 9d4bd76ea..98deb4aa5 100644 --- a/shapepipe/modules/spread_model_package/spread_model.py +++ b/shapepipe/modules/spread_model_package/spread_model.py @@ -223,23 +223,27 @@ def process(self): psf_cat_id_ccd['SHAPES']['SIGMA_PSF_HSM'] ) - obj_vign_tmp = obj_vign[idx] - obj_flux_tmp = 1. obj_sigma_tmp = np.mean(sigma_list) - obj_weight_tmp = weigh_vign[idx] - obj_model_tmp, obj_psf_tmp = get_model( - obj_sigma_tmp, - obj_flux_tmp, - obj_vign_tmp.shape, - self._pixel_scale - ) + if obj_sigma_tmp > 0: + obj_vign_tmp = obj_vign[idx] + obj_flux_tmp = 1. + obj_weight_tmp = weigh_vign[idx] + obj_model_tmp, obj_psf_tmp = get_model( + obj_sigma_tmp, + obj_flux_tmp, + obj_vign_tmp.shape, + self._pixel_scale + ) - obj_sm, obj_sm_err = get_sm( - obj_vign_tmp, - obj_psf_tmp, - obj_model_tmp, - obj_weight_tmp - ) + obj_sm, obj_sm_err = get_sm( + obj_vign_tmp, + obj_psf_tmp, + obj_model_tmp, + obj_weight_tmp + ) + else: + # size < 0, something is not right with this object + obj_sm, obj_sm_err = -1.0, -1.0 spread_model_final.append(obj_sm) spread_model_err_final.append(obj_sm_err) From 1e5f83d2e94dc71992d13e6468d2bea825a727a2 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Mon, 20 May 2024 10:30:08 +0000 Subject: [PATCH 038/217] no change --- shapepipe/modules/mask_package/mask.py | 1 - 1 file changed, 1 deletion(-) diff --git a/shapepipe/modules/mask_package/mask.py b/shapepipe/modules/mask_package/mask.py index fc40d1f30..23ca9f034 100644 --- a/shapepipe/modules/mask_package/mask.py +++ b/shapepipe/modules/mask_package/mask.py @@ -321,7 +321,6 @@ def make_mask(self): if ( os.path.exists(f"{self._check_existing_dir}//{output_file_name}") ): - print("MKDEBUG skipping ", output_file_name) return None, None if self._config['MD']['make']: From 182ff223f32074ff2567acb1905fdf1fd1929d81 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Mon, 20 May 2024 10:30:34 +0000 Subject: [PATCH 039/217] added checks --- .../modules/merge_sep_cats_package/merge_sep_cats.py | 12 ++++++++++++ .../modules/sextractor_package/sextractor_script.py | 6 ++++++ 2 files changed, 18 insertions(+) diff --git a/shapepipe/modules/merge_sep_cats_package/merge_sep_cats.py b/shapepipe/modules/merge_sep_cats_package/merge_sep_cats.py index 4c82d1a8c..f5c1941b5 100644 --- a/shapepipe/modules/merge_sep_cats_package/merge_sep_cats.py +++ b/shapepipe/modules/merge_sep_cats_package/merge_sep_cats.py @@ -122,10 +122,22 @@ def process(self): cat = file_io.FITSCatalogue(cat_path, SEx_catalogue=True) cat.open() + list_ext_name_n = cat.get_ext_name() + if len(list_ext_name_n) < 6: + raise IndexError( + f"Input ngmix catalogue {cat_path} has only" + + f" {len(list_ext_name_n)} HDUs, required are 6" + ) for hdu_ind, ext_name in enumerate(list_ext_name): if ext_name == 'PRIMARY': continue + if not ext_name in data: + raise IndexError( + f"Extension {ext_name} not found in file " + + f"{cat_path}" + ) for col_name in list_col_name: + #print("MKDEBUG ", cat_path, ext_name, col_name) data[ext_name][col_name] += list( cat.get_data(hdu_ind)[col_name] ) diff --git a/shapepipe/modules/sextractor_package/sextractor_script.py b/shapepipe/modules/sextractor_package/sextractor_script.py index 45f44cb49..5e41b8c96 100644 --- a/shapepipe/modules/sextractor_package/sextractor_script.py +++ b/shapepipe/modules/sextractor_package/sextractor_script.py @@ -105,6 +105,12 @@ def make_post_process(cat_path, f_wcs_path, pos_params, ccd_size): for idx, exp in enumerate(exp_list): pos_tmp = np.ones(len(obj_id), dtype='int32') * -1 for idx_j in range(n_hdu): + if exp not in f_wcs: + raise KeyError( + f"Exposure {exp} used in image {cat_path} but not" + + f" found in header file {f_wcs_path. Make sure this" + + " file is complete." + ) w = f_wcs[exp][idx_j]['WCS'] pix_tmp = w.all_world2pix( cat.get_data()[pos_params[0]], From 9827d2979b1c55dafc8b6b6df0860bf283334cf6 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Mon, 20 May 2024 10:30:51 +0000 Subject: [PATCH 040/217] scripts updated --- scripts/sh/combine_runs.bash | 3 ++- scripts/sh/curl_canfar_local.sh | 10 ++++++---- scripts/sh/job_sp_canfar.bash | 6 ------ scripts/sh/stats_jobs_canfar.sh | 4 ++-- 4 files changed, 10 insertions(+), 13 deletions(-) diff --git a/scripts/sh/combine_runs.bash b/scripts/sh/combine_runs.bash index 3b8a27824..3354da8b1 100755 --- a/scripts/sh/combine_runs.bash +++ b/scripts/sh/combine_runs.bash @@ -142,7 +142,8 @@ elif [ "$cat" == "psf" ]; then # v1 #run_in="$pwf/$out_base/run_sp_exp_Pi_*" # v2 - run_in="$pwd/exp_runs/*/$out_base/run_sp_exp_Pi_*" + #run_in="$pwd/exp_runs/*/$out_base/run_sp_exp_Pi_*" + run_in="$pwd/exp_runs/*/$out_base/run_sp_exp_SxSePsfPi_*" pattern="validation_psf-*" if [ "$psf" == "psfex" ]; then diff --git a/scripts/sh/curl_canfar_local.sh b/scripts/sh/curl_canfar_local.sh index 3c2c73658..5839b16e1 100755 --- a/scripts/sh/curl_canfar_local.sh +++ b/scripts/sh/curl_canfar_local.sh @@ -36,7 +36,7 @@ usage="Usage: $(basename "$0") -j JOB -[e ID |-f file_IDs] -k KIND [OPTIONS] -k, --kind KIND\n \timage kind, allowed are 'tile' and 'exp'\n -N, --N_SMP N_SMOp\n - \tnumber of jobs (SMP mode only), default from original config files\n + \tnumber of jobs (SMP mode only), default=$N_SMP\n -V, --version\n \tversion of docker image, default='$version'\n -C, --command_remote\n @@ -144,6 +144,7 @@ function call_curl() { # Add session and image IDs to log files function update_session_logs() { + #echo "MKDEBUG $my_session $ID" echo $my_session >> session_IDs.txt echo "$my_session $ID" >> session_image_IDs.txt @@ -161,7 +162,7 @@ function submit_batch() { } batch=20 -sleep=300 +sleep=150 ((n_thresh=batch_max-batch)) @@ -176,7 +177,7 @@ if [ "$dry_run" == 2 ]; then # Submit file (dry run = 2) for ID in `cat $file_IDs`; do arg=$(set_arg) - echo curl -E $SSL $SESSION?$RESOURCES -d \"image=$IMAGE:$version\" -d \"name=${NAME}\" -d \"cmd=$cmd_remote\" --data-urlencode \"args=$arg\" + echo curl -b -E $SSL $SESSION?$RESOURCES -d \"image=$IMAGE:$version\" -d \"name=${NAME}\" -d \"cmd=$cmd_remote\" --data-urlencode \"args=$arg\" done else @@ -235,7 +236,8 @@ else # Submit image arg=$(set_arg) - session=`curl -E $SSL $SESSION?$RESOURCES -d "image=$IMAGE:$version" -d "name=${NAME}" -d "cmd=$cmd_remote" --data-urlencode "args=$arg" &> /dev/null` + my_session=`curl -E $SSL $SESSION?$RESOURCES -d "image=$IMAGE:$version" -d "name=${NAME}" -d "cmd=$cmd_remote" --data-urlencode "args=$arg" &> /dev/null` + echo curl -E $SSL $SESSION?$RESOURCES -d "image=$IMAGE:$version" -d "name=${NAME}" -d "cmd=$cmd_remote" --data-urlencode "args=$arg" update_session_logs fi diff --git a/scripts/sh/job_sp_canfar.bash b/scripts/sh/job_sp_canfar.bash index 3ba748c69..84dacf8ed 100755 --- a/scripts/sh/job_sp_canfar.bash +++ b/scripts/sh/job_sp_canfar.bash @@ -325,12 +325,6 @@ if [[ $do_job != 0 ]]; then -1 \ $exclusive - #if [[ ! -d "data_tiles" ]]; then - #echo "Directory or link 'data_tiles' does not exist, exiting" - #exit 1 - #fi - #command_cfg_shapepipe "config_Git_vos.ini" "Retrieve tiles" -1 $n_exclusive - ### Retrieve and save star catalogues for masking if [ "$star_cat_for_mask" == "save" ]; then #### For tiles diff --git a/scripts/sh/stats_jobs_canfar.sh b/scripts/sh/stats_jobs_canfar.sh index 3c1332f59..fbfbbf7fa 100755 --- a/scripts/sh/stats_jobs_canfar.sh +++ b/scripts/sh/stats_jobs_canfar.sh @@ -22,7 +22,7 @@ SESSION=https://ws-uv.canfar.net/skaha/v0/session mode="count" ## Help string -usage="Usage: $(basename "$0") -j JOB -[e ID |-f file_IDs] -k KIND [OPTIONS] +usage="Usage: $(basename "$0") [OPTIONS] \n\nOptions:\n -h\tthis message\n -m, --mode MODE\n @@ -87,4 +87,4 @@ fi # Remove temporary files -rm -f $tmpfile_jobs $tmpfile_ids +#rm -f $tmpfile_jobs $tmpfile_ids From a872dfdd369e9909d5023e6d5060af991db94356 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Tue, 21 May 2024 15:21:39 +0000 Subject: [PATCH 041/217] split exp runner: added checks and err msg for data integrity --- .../modules/split_exp_package/split_exp.py | 23 +++++++++++++++++-- 1 file changed, 21 insertions(+), 2 deletions(-) diff --git a/shapepipe/modules/split_exp_package/split_exp.py b/shapepipe/modules/split_exp_package/split_exp.py index 2dd1a5875..58d215c62 100644 --- a/shapepipe/modules/split_exp_package/split_exp.py +++ b/shapepipe/modules/split_exp_package/split_exp.py @@ -102,13 +102,31 @@ def create_hdus( """ header_file = np.zeros(self._n_hdu, dtype='O') + hdu_list = fits.open(exp_path) + if len(hdu_list) != self._n_hdu + 1: + raise ValueError( + f"Image {exp_path} has {len(hdu_list)} + 1 HDUs," + + " expected were {self._n_hdu} + 1" + ) + for idx in range(1, self._n_hdu + 1): - h = fits.getheader(exp_path, idx) + #h = fits.getheader(exp_path, idx) + h = hdu_list[idx].header if transf_coord: stp.pv_to_sip(h) - d = fits.getdata(exp_path, idx) + #d = fits.getdata(exp_path, idx) + try: + d = hdu_list[idx].data + except TypeError as e: + msg = ( + f"Error retrieving data of HDU #{idx} of image {exp_path}." + + f" Check if image file is complete." + ) + print(msg, e) + raise + if transf_int: d = d.astype(np.int16) @@ -131,6 +149,7 @@ def create_hdus( raise header_file[idx - 1] = {'WCS': w, 'header': h.tostring()} + if save_header: file_name = ( f'{self._output_dir}/headers{self._file_number_string}.npy' From d445932b33cc2505561fcfea6a67afa701bf285a Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Tue, 21 May 2024 15:22:00 +0000 Subject: [PATCH 042/217] added Mh cfg file --- example/cfis/config_exp_Mh.ini | 65 ++++++++++++++++++++++++++++++++++ 1 file changed, 65 insertions(+) create mode 100644 example/cfis/config_exp_Mh.ini diff --git a/example/cfis/config_exp_Mh.ini b/example/cfis/config_exp_Mh.ini new file mode 100644 index 000000000..59f6edc56 --- /dev/null +++ b/example/cfis/config_exp_Mh.ini @@ -0,0 +1,65 @@ +# ShapePipe configuration file for single-exposures, +# merge headers + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = True + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_exp_Mh + +# Add date and time to RUN_NAME, optional, default: True +; RUN_DATETIME = False + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = merge_headers_runner + +# Run mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names with length matching FILE_PATTERN +INPUT_DIR = . + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 16 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options + +[MERGE_HEADERS_RUNNER] + +FILE_PATTERN = headers + +FILE_EXT = .npy + +# Single-exposure numbering scheme +NUMBERING_SCHEME = -0000000 + +OUTPUT_PATH = $SP_RUN/output From f91cc104c41492fd467b7c34aa024d686c6f1ca9 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Tue, 21 May 2024 15:22:42 +0000 Subject: [PATCH 043/217] summary v1.2: split_exp using exposures, no longer shdu --- scripts/python/summary_params_pre_v2.py | 8 -------- shapepipe/utilities/summary.py | 26 +++++++++++-------------- 2 files changed, 11 insertions(+), 23 deletions(-) diff --git a/scripts/python/summary_params_pre_v2.py b/scripts/python/summary_params_pre_v2.py index 6d16e4270..5ffa849b8 100644 --- a/scripts/python/summary_params_pre_v2.py +++ b/scripts/python/summary_params_pre_v2.py @@ -22,13 +22,6 @@ def update_par_runtime_after_find_exp(par_runtime, all_exposures): par_runtime["n_shdus"] = get_par_runtime(par_runtime, "exposures") * n_CCD par_runtime["list_shdus"] = get_all_shdus(all_exposures, n_CCD) - ## For split_exposure_runner, the output is image, weight,flag per single-HDU image - ## and a header per exposure. - par_runtime["n_3*n_shdus+n_exposures"] = ( - 3 * get_par_runtime(par_runtime, "shdus") - + get_par_runtime(par_runtime, "exposures") - ) - return par_runtime @@ -92,7 +85,6 @@ def set_jobs_v2_pre_v2(patch, verbose): 2, ["run_sp_Uz", "run_sp_exp_SpMh", "run_sp_exp_SpMh"], ["uncompress_fits_runner", "merge_headers_runner", "split_exp_runner"], - #["tile_IDs", 0, "3*n_shdus+n_exposures"], ["tile_IDs", 0, "exposures"], n_mult=[1, 1, 121], path_main=path_main, diff --git a/shapepipe/utilities/summary.py b/shapepipe/utilities/summary.py index 1a5f1efec..315df4a18 100755 --- a/shapepipe/utilities/summary.py +++ b/shapepipe/utilities/summary.py @@ -15,7 +15,7 @@ from tqdm import tqdm -print("summaary v1.1") +print("summaary v1.2") def get_IDs_from_file(path): @@ -361,14 +361,12 @@ def write_IDs_to_file(self, output_path, IDs): """ IDs_dot = self.replace_dash_dot_if_tile(IDs) if len(IDs_dot) > 0: - #print("MKDEBUG writing", output_path, len(IDs_dot)) # Write IDs to file with open(output_path, "w") as f_out: for ID in IDs_dot: print(ID, file=f_out) elif os.path.exists(output_path): # Remove preivous obsolete ID file - #print("MKDEBUG removing ", output_path) os.unlink(output_path) def output_missing( @@ -393,9 +391,16 @@ def output_missing( ## Extract image IDs from names IDs = [] - pattern = re.compile( - r"(?:\d{3}-\d{3}|\d{7}-\d+|\d{7})" - ) + if module != "split_exp_runner": + pattern = re.compile( + r"(?:\d{3}-\d{3}|\d{7}-\d+|\d{7})" + ) + else: + # split_exp_runner: input is exp, output is shdu (images) and exp + # (header); ignore hdu number + pattern = re.compile( + r"(?:\d{3}-\d{3}|\d{7})" + ) for name, path in zip(names_in_dir, paths_in_dir): match = pattern.search(name) if match: @@ -403,7 +408,6 @@ def output_missing( else: raise ValueError(f"No ID found in {name}") - ## Count occurences ID_counts = Counter(IDs) @@ -414,7 +418,6 @@ def output_missing( missing_IDs.append(ID) n_all = len(missing_IDs) - #print("MKDEBUG ", module, len(IDs), n_all, len(list_expected)) missing_IDs_unique = self.get_unique(missing_IDs) if not self._output_path_missing_IDs: @@ -426,7 +429,6 @@ def output_missing( else: # User-defined name (e.g. ngmix_runner_X) output_path = self._output_path_missing_IDs[idx] - #print("MKDEBUG output_missing", module, output_path, len(missing_IDs_unique)) self.write_IDs_to_file(output_path, missing_IDs_unique) return missing_IDs_unique @@ -677,12 +679,6 @@ def get_par_runtime(par_runtime, key, kind="n"): """ combined_key = f"{kind}_{key}" - if ( - combined_key == "list_3*n_shdus+n_exposures" - and combined_key not in par_runtime - ): - print(f"{combined_key} not set, TBD") - return [] return par_runtime[combined_key] From 4c9f938301cdbc9f63df19bde013e7760228a752 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Tue, 28 May 2024 10:12:35 +0200 Subject: [PATCH 044/217] Added script to convert pix to world coordinates of PSF measurements --- scripts/python/convert_psf_pix2world.py | 331 ++++++++++++++++++++++++ 1 file changed, 331 insertions(+) create mode 100644 scripts/python/convert_psf_pix2world.py diff --git a/scripts/python/convert_psf_pix2world.py b/scripts/python/convert_psf_pix2world.py new file mode 100644 index 000000000..35d98778d --- /dev/null +++ b/scripts/python/convert_psf_pix2world.py @@ -0,0 +1,331 @@ +import sys +import os +import re +import glob +from tqdm import tqdm +from joblib import Parallel, delayed +import gc + +import numpy as np +from astropy.io import fits +import galsim + +from cs_util import args as cs_args +from cs_util import logging + + +def transform_shape(mom_list, jac): + scale, shear, theta, flip = jac.getDecomposition() + + sig_tmp = mom_list[2] * scale + shape = galsim.Shear(g1=mom_list[0], g2=mom_list[1]) + if flip: + print("FLIP!") + shape = galsim.Shear(g1=-shape.g1, g2=shape.g2) + shape = galsim.Shear(g=shape.g, beta=shape.beta + theta) + shape = shear + shape + + return shape.g1, shape.g2, sig_tmp + + +class Convert(object): + + def __init__(self): + + self.params_default() + + def set_params_from_command_line(self, args): + """Set Params From Command line. + + Only use when calling using python from command line. + Does not work from ipython or jupyter. + + """ + # Read command line options + options = cs_args.parse_options( + self._params, + self._short_options, + self._types, + self._help_strings, + ) + self._params = options + + # Save calling command + logging.log_command(args) + + def params_default(self): + + self._params = { + "input_base_dir": ".", + "output_base_dir": "./star_cat", + "mode": "merge", + "sub_dir_pattern" : "run_sp_exp_202", + "file_pattern_psfint": "validation_psf", + "sub_dir_psfint": "psfex_interp_runner/output/", + } + + self._short_options = { + "input_base_dir": "-i", + "mode": "-m", + "sub_dir_pattern" : "-s", + } + + self._types = {} + + self._help_strings = { + "input_base_dir" : ( + "input base dir, runs are expected in" + + " /P/output;" + " default is {}" + ), + "sub_dir_pattern" : ( + "First subdir name of PSF interpolation, default is {}" + ), + "mode" : ( + "run mode, allowed are 'create', 'merge', 'test'; default is" + + " '{}':" + ) + } + + self._dt = [ + ("X", float), + ("Y", float), + ("RA", float), + ("DEC", float), + ("E1_PSF_HSM", float), + ("E2_PSF_HSM", float), + ("SIGMA_PSF_HSM", float), + ("FLAG_PSF_HSM", float), + ("E1_STAR_HSM", float), + ("E2_STAR_HSM", float), + ("SIGMA_STAR_HSM", float), + ("FLAG_STAR_HSM", float), + ("CCD_NB", int), + ] + + def run(self): + + if self._params["mode"] == "test": + patch_nums = ["3", "4"] + else: + n_patch = 7 + patch_nums = [idx for idx in np.arange(n_patch) + 1] + + do_parallel = True + + # Loop over patches + for patch in patch_nums: + + output_dir = f"{self._params['output_base_dir']}/P{patch}" + if not os.path.isdir(output_dir): + os.makedirs(output_dir, exist_ok=False) + + print("Running patch:", patch) + + patch_dir = f"{self._params['input_base_dir']}/P{patch}/output/" + subdirs = f"{patch_dir}/{self._params['sub_dir_pattern']}*" + exp_run_dirs = glob.glob(subdirs) + n_exp_runs = len(exp_run_dirs) + print( + f"Found {n_exp_runs} input single-exposure runs for patch" + + f" {patch_dir} ({subdirs})" + ) + + if self._params["mode"] == "test": + exp_run_dirs = exp_run_dirs[:2] + n_exp_runs = len(exp_run_dirs) + print( + f"test mode: only using {n_exp_runs} input single-exposure" + + f" runs" + ) + + # Loop over exposure runs + if not do_parallel: + for idx_exp, exp_run_dir in tqdm( + enumerate(exp_run_dirs), total=n_exp_runs, + disable=self._params["verbose"], + ): + self.transform_exposure( + output_dir, idx_exp, exp_run_dir + ) + else: + res = Parallel(n_jobs=-1, backend="loky")( + delayed(self.transform_exposure)( + output_dir, idx_exp, exp_run_dir + ) + for idx_exp, exp_run_dir in tqdm( + enumerate(exp_run_dirs), + total=n_exp_runs, + disable=self._params["verbose"], + ) + ) + + def transform_exposure(self, output_dir, idx, exp_run_dir): + """Transform exposures. + + Transform shapes for exposures for a given run (input exp run dir). + + """ + output_path = f"{output_dir}/psf_cat_{idx}.fits" + if os.path.exists(output_path): + print(f"Skipping transform_exposure, file {output_path} exists") + return + + mccd_dir = f"{exp_run_dir}/{self._params['sub_dir_psfint']}" + try: + all_files = os.listdir(mccd_dir) + if self._params["verbose"]: + print(f"Found {len(all_files)} files in {mccd_dir}") + except Exception: + if self._params["verbose"]: + print(f"Found zero PSFEx files in {mccd_dir}, skipping") + return + + cat_list = [] + for file_name in all_files: + if self._params["file_pattern_psfint"] not in file_name: + continue + + tmp = re.findall(r"\d+", file_name) + exp_name, ccd_id = int(tmp[0]), int(tmp[1]) + if self._params["verbose"]: + print("Match found ", exp_name, ccd_id) + + psfex_file_path = f"{mccd_dir}/{file_name}" + + try: + psf_file = fits.open(psfex_file_path, memmap=False) + psfex_file = psf_file[2].data + header_file = psf_file[1].data + except Exception: + continue + + new_e1_psf = np.zeros_like(psfex_file["RA"]) + new_e2_psf = np.zeros_like(psfex_file["RA"]) + new_sig_psf = np.zeros_like(psfex_file["RA"]) + new_e1_star = np.zeros_like(psfex_file["RA"]) + new_e2_star = np.zeros_like(psfex_file["RA"]) + new_sig_star = np.zeros_like(psfex_file["RA"]) + + header = fits.Header.fromstring( + "\n".join(header_file[0][0]), sep="\n" + ) + wcs = galsim.AstropyWCS(header=header) + + k = 0 + for ind, obj in enumerate(psfex_file): + try: + # jac = wcs.jacobian(world_pos=galsim.CelestialCoord( + # ra=obj["RA"]*galsim.degrees, + # dec=obj["DEC"]*galsim.degrees + # )) + jac = wcs.jacobian( + image_pos=galsim.PositionD( + obj["X"], + obj["Y"], + ) + ) + except Exception: + continue + g1_psf_tmp, g2_psf_tmp, sig_psf_tmp = transform_shape( + [ + obj["E1_PSF_HSM"], + obj["E2_PSF_HSM"], + obj["SIGMA_PSF_HSM"], + ], + jac, + ) + + new_e1_psf[ind] = g1_psf_tmp + new_e2_psf[ind] = g2_psf_tmp + new_sig_psf[ind] = sig_psf_tmp + + g1_star_tmp, g2_star_tmp, sig_star_tmp = transform_shape( + [ + obj["E1_STAR_HSM"], + obj["E2_STAR_HSM"], + obj["SIGMA_STAR_HSM"], + ], + jac, + ) + new_e1_star[ind] = g1_star_tmp + new_e2_star[ind] = g2_star_tmp + new_sig_star[ind] = sig_star_tmp + k += 1 + + exp_cat = np.array( + list( + map( + tuple, + np.array( + [ + psfex_file["X"], + psfex_file["Y"], + psfex_file["RA"], + psfex_file["DEC"], + new_e1_psf, + new_e2_psf, + new_sig_psf, + psfex_file["FLAG_PSF_HSM"], + new_e1_star, + new_e2_star, + new_sig_star, + psfex_file["FLAG_STAR_HSM"], + np.ones_like(psfex_file["RA"], dtype=int) + * ccd_id, + ] + ).T.tolist(), + ) + ), + dtype=self._dt, + ) + cat_list.append(exp_cat) + + psf_file.close() + del psf_file + gc.collect() + + if len(cat_list) == 0: + return + + # Finalize catalogue + patch_cat = np.concatenate(cat_list) + hdul = fits.HDUList() + hdul.append(fits.PrimaryHDU()) + hdul.append(fits.BinTableHDU(patch_cat)) + + # Write catalogue + hdul.writeto( + output_path, + overwrite=True, + ) + + del cat_list + del hdul + gc.collect() + + +def run_convert(*args): + + # Create instance + obj = Convert() + + obj.set_params_from_command_line(args) + + obj.run() + + +def main(argv=None): + """Main + + Main program + """ + if argv is None: + argv = sys.argv[1:] + run_convert(*argv) + + return 0 + + +if __name__ == "__main__": + sys.exit(main(sys.argv)) From 89622db29e9bdc2b912d8b5e64a84fc521f7cfbc Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Thu, 30 May 2024 09:12:35 +0000 Subject: [PATCH 045/217] merge sep module: fixed cat handling if not sufficient HDUs on input --- .../merge_sep_cats_package/merge_sep_cats.py | 10 +++++---- shapepipe/pipeline/file_io.py | 21 +++++++++++-------- 2 files changed, 18 insertions(+), 13 deletions(-) diff --git a/shapepipe/modules/merge_sep_cats_package/merge_sep_cats.py b/shapepipe/modules/merge_sep_cats_package/merge_sep_cats.py index f5c1941b5..1cc3c2131 100644 --- a/shapepipe/modules/merge_sep_cats_package/merge_sep_cats.py +++ b/shapepipe/modules/merge_sep_cats_package/merge_sep_cats.py @@ -86,8 +86,6 @@ def process(self): cat0 = file_io.FITSCatalogue(input_file, SEx_catalogue=True) cat0.open() list_ext_name = cat0.get_ext_name() - list_col_name = cat0.get_col_names() - # Inupt ngmix files sometimes have not all sheared versions # (HDUs 1 - 5 = 1M, 1P, 2M, 2P, NOSHEAR) due to IO errors @@ -97,8 +95,12 @@ def process(self): + f" {len(list_ext_name)} HDUs, required are 6" ) - # MKDEBUG: Some input ngmix catalogues have multiple of 5 HDUs - # if reprocessed and not deleted but appended + list_col_name = cat0.get_col_names() + + # Some older input ngmix catalogues have multiple of 5 HDUs + # if reprocessed and not deleted but appended. + # The following log message should be replaced by raising + # and error in future if len(list_ext_name) > 6: wmsg = f"Cropping input HDUs from {len(list_ext_name)} to 5" self._w_log.info(wmsg) diff --git a/shapepipe/pipeline/file_io.py b/shapepipe/pipeline/file_io.py index 52e847147..2aa87959f 100644 --- a/shapepipe/pipeline/file_io.py +++ b/shapepipe/pipeline/file_io.py @@ -419,14 +419,17 @@ class FITSCatalogue(BaseCatalogue): ---------- fullpath : str Full path to file - hdu_no : int - HDU number - open_mode : OpenMode - File opening mode - memmap : Bool - Option to use memory mapping - SEx_catalogue : bool - Option to specify if the input is a SExtractor catalogue + hdu_no : int, optional + HDU number; default is ``None``, in which case + it will be set to 1 (2) if SEx_catalogue is ``False`` + (``True``) + open_mode : OpenMode, optional + File opening mode, default is ``BaseCatalogue.OpenMode.ReadOnly`` + memmap : bool, optional + Option to use memory mapping, default is ``False`` + SEx_catalogue : bool, optional + Option to specify if the input is a SExtractor catalogue; + default is ``False`` """ @@ -449,7 +452,7 @@ def __init__( self._SEx_catalogue = SEx_catalogue # HDU number of the underlying .FITS table if hdu_no is None: - # Default is 1 (or 2 if you are using ) + # Set to default value if not given by user if SEx_catalogue: self._hdu_no = 2 else: From badca6903c705eaa5b4cb0ab6a4484c351bb4956 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Thu, 30 May 2024 09:15:06 +0000 Subject: [PATCH 046/217] summary: split Ms and Mh; writing/reading list_exp to file for sped-up --- docs/source/pipeline_canfar.md | 7 ++++- scripts/python/summary_params_pre_v2.py | 42 ++++++++++--------------- scripts/python/summary_run.py | 18 ++++++++--- scripts/sh/job_sp_canfar.bash | 42 +++++++++++++++++-------- shapepipe/utilities/summary.py | 27 +++++++++++++++- 5 files changed, 90 insertions(+), 46 deletions(-) diff --git a/docs/source/pipeline_canfar.md b/docs/source/pipeline_canfar.md index cb60c4e71..948bcd4eb 100644 --- a/docs/source/pipeline_canfar.md +++ b/docs/source/pipeline_canfar.md @@ -86,9 +86,14 @@ curl_canfar_local.sh -j 64 -f tile_numbers.txt -k tile -p $psf -N $N_SMP # Tile shape measurement curl_canfar_local.sh -j 128 -f tile_numbers.txt -k tile -p $psf -N 8 -# Merge subcatalogues, and create final cat +# Merge subcatalogues curl_canfar_local.sh -j 256 -f tile_numbers.txt -k tile -p $psf -N $N_SMP +# Create final cat +curl_canfar_local.sh -j 512 -f tile_numbers.txt -k tile -p $psf -N $N_SMP +# Run in parallel +cat mc.txt | xargs -I {} -P 16 bash -c 'init_run_exclusive_canfar.sh -p psfex -j 512 -e {} --n_smp 1 -k tile' + # Combine all final cats in common output dir as links combine_runs.bash -c final -p psfex diff --git a/scripts/python/summary_params_pre_v2.py b/scripts/python/summary_params_pre_v2.py index 5ffa849b8..d640c8ab1 100644 --- a/scripts/python/summary_params_pre_v2.py +++ b/scripts/python/summary_params_pre_v2.py @@ -3,27 +3,6 @@ import os from shapepipe.utilities.summary import * -def init_par_runtime(list_tile_IDs): - - # Numbers updated at runtime - par_runtime = {} - - par_runtime["n_tile_IDs"] = len(list_tile_IDs) - par_runtime["list_tile_IDs"] = list_tile_IDs - - return par_runtime - - -def update_par_runtime_after_find_exp(par_runtime, all_exposures): - - n_CCD = 40 - - # Single-HDU single exposure images - par_runtime["n_shdus"] = get_par_runtime(par_runtime, "exposures") * n_CCD - par_runtime["list_shdus"] = get_all_shdus(all_exposures, n_CCD) - - return par_runtime - def set_jobs_v2_pre_v2(patch, verbose): """ Return information about shapepipe jobs @@ -198,8 +177,8 @@ def set_jobs_v2_pre_v2(patch, verbose): jobs["256"] = job_data( "256", - ["run_sp_Ms", "run_sp_Mc"], - ["merge_sep_cats_runner", "make_cat_runner"], + ["run_sp_Ms"], + ["merge_sep_cats_runner"], "tile_IDs", path_main=path_main, path_left="tile_runs", @@ -207,9 +186,20 @@ def set_jobs_v2_pre_v2(patch, verbose): verbose=verbose, ) - # Post-processing jobs["512"] = job_data( "512", + ["run_sp_Mc"], + ["make_cat_runner"], + "tile_IDs", + path_main=path_main, + path_left="tile_runs", + output_subdirs=[f"{tile_ID}/output" for tile_ID in list_tile_IDs_dot], + verbose=verbose, + ) + + # Post-processing + jobs["1024"] = job_data( + "1024", ["run_sp_combined_final"], ["make_catalog_runner"], "tile_IDs", @@ -218,8 +208,8 @@ def set_jobs_v2_pre_v2(patch, verbose): verbose=verbose, ) - jobs["1024"] = job_data( - "1024", + jobs["2048"] = job_data( + "2048", "run_sp_combined_psf", ["psfex_interp_runner"], "shdus", diff --git a/scripts/python/summary_run.py b/scripts/python/summary_run.py index 5b2ff671d..5e92b659e 100755 --- a/scripts/python/summary_run.py +++ b/scripts/python/summary_run.py @@ -28,7 +28,16 @@ def main(argv=None): job_data.print_stats_header() - for key in "1": + exp_IDs_path = "exp_numbers.txt" + if os.path.exists(exp_IDs_path): + # Read exposure ID list if file exists + all_exposures = get_IDs_from_file(exp_IDs_path) + par_runtime = update_par_runtime_after_find_exp(par_runtime, all_exposures) + + if not os.path.exists(exp_IDs_path) or not job_exclusive or job_exclusive == "1": + # Run job 1 if exposure ID list file does not exist or + # job_exclusive is 1 or not set + key = "1" jobs[key].print_intro() jobs[key].check_numbers(par_runtime=par_runtime, indices=[0, 1]) @@ -36,13 +45,12 @@ def main(argv=None): jobs[key]._paths_in_dir[1], verbose=True ) - par_runtime["n_exposures"] = len(all_exposures) - par_runtime["list_exposures"] = all_exposures + par_runtime = update_par_runtime_after_find_exp(par_runtime, all_exposures) + + jobs[key].write_IDs_to_file("exp_numbers.txt", all_exposures) jobs[key].check_numbers(par_runtime, indices=[2]) - par_runtime = update_par_runtime_after_find_exp(par_runtime, all_exposures) - print_par_runtime(par_runtime, verbose=verbose) diff --git a/scripts/sh/job_sp_canfar.bash b/scripts/sh/job_sp_canfar.bash index 84dacf8ed..88ceae36c 100755 --- a/scripts/sh/job_sp_canfar.bash +++ b/scripts/sh/job_sp_canfar.bash @@ -315,7 +315,7 @@ fi ## Retrieve config files and images (online if retrieve=vos) ## Retrieve and save star catalogues for masking (if star_cat_for_mask=save) -(( do_job= $job & 1 )) +(( do_job = $job & 1 )) if [[ $do_job != 0 ]]; then ### Retrieve files @@ -343,7 +343,7 @@ if [[ $do_job != 0 ]]; then fi ## Prepare images (offline) -(( do_job= $job & 2 )) +(( do_job = $job & 2 )) if [[ $do_job != 0 ]]; then ### Uncompress tile weights @@ -359,7 +359,7 @@ if [[ $do_job != 0 ]]; then fi ## Mask tiles: add star, halo, and Messier object masks (online if "star_cat_for_mask" is "onthefly") -(( do_job= $job & 4 )) +(( do_job = $job & 4 )) if [[ $do_job != 0 ]]; then ### Mask tiles @@ -372,7 +372,7 @@ if [[ $do_job != 0 ]]; then fi ## Mask exposures: add star, halo, and Messier object masks (online if "star_cat_for_mask" is "onthefly") -(( do_job= $job & 8 )) +(( do_job = $job & 8 )) if [[ $do_job != 0 ]]; then ### Mask exposures @@ -386,7 +386,7 @@ fi ## Remaining exposure processing (offline) -(( do_job= $job & 16 )) +(( do_job = $job & 16 )) if [[ $do_job != 0 ]]; then ### Object detection on tiles @@ -399,7 +399,7 @@ if [[ $do_job != 0 ]]; then fi ## Exposure processing (offline) -(( do_job= $job & 32 )) +(( do_job = $job & 32 )) if [[ $do_job != 0 ]]; then ### Star detection, selection, PSF model. setools can exit with an error for CCD with insufficient stars, @@ -415,7 +415,7 @@ if [[ $do_job != 0 ]]; then fi ## Process tiles up to shape measurement -(( do_job= $job & 64 )) +(( do_job = $job & 64 )) if [[ $do_job != 0 ]]; then ### PSF model letter: 'P' (psfex) or 'M' (mccd) @@ -430,7 +430,7 @@ if [[ $do_job != 0 ]]; then fi ## Shape measurement (offline) -(( do_job= $job & 128 )) +(( do_job = $job & 128 )) if [[ $do_job != 0 ]]; then ### Prepare config files @@ -483,7 +483,7 @@ if [[ $do_job != 0 ]]; then fi ## Create final catalogues (offline) -(( do_job= $job & 256 )) +(( do_job = $job & 256 )) if [[ $do_job != 0 ]]; then cat $SP_CONFIG/config_merge_sep_cats_template.ini | \ @@ -497,12 +497,28 @@ if [[ $do_job != 0 ]]; then "Run shapepipe (tile: merge sep cats)" \ "$VERBOSE" \ "$ID" +fi + +(( do_job = $job & 512 )) +if [[ $do_job != 0 ]]; then ### Merge all relevant information into final catalogue - command_sp \ - "shapepipe_run -c $SP_CONFIG/config_make_cat_$psf.ini" \ + command_cfg_shapepipe \ + "config_make_cat_$psf.ini" \ "Run shapepipe (tile: create final cat $psf)" \ - "$VERBOSE" \ - "$ID" + $n_smp \ + $exclusive + +fi + +# MKDEBUG: Putting Mh at the end for now, could be integrated before 16. +(( do_job = $job & 1024 )) +if [[ $do_job != 0 ]]; then + + command_cfg_shapepipe \ + "config_exp_Mh.ini" \ + "Run shapepipe (merge exp headers)" \ + $n_smp \ + $exclusive fi diff --git a/shapepipe/utilities/summary.py b/shapepipe/utilities/summary.py index 315df4a18..8977a5d66 100755 --- a/shapepipe/utilities/summary.py +++ b/shapepipe/utilities/summary.py @@ -18,6 +18,31 @@ print("summaary v1.2") +def init_par_runtime(list_tile_IDs): + + # Numbers updated at runtime + par_runtime = {} + + par_runtime["n_tile_IDs"] = len(list_tile_IDs) + par_runtime["list_tile_IDs"] = list_tile_IDs + + return par_runtime + + +def update_par_runtime_after_find_exp(par_runtime, all_exposures): + + # Single-exposure images + par_runtime["n_exposures"] = len(all_exposures) + par_runtime["list_exposures"] = all_exposures + + # Single-HDU single exposure images + n_CCD = 40 + par_runtime["n_shdus"] = get_par_runtime(par_runtime, "exposures") * n_CCD + par_runtime["list_shdus"] = get_all_shdus(all_exposures, n_CCD) + + return par_runtime + + def get_IDs_from_file(path): """Get IDs From File. @@ -257,7 +282,7 @@ def print_stats_header(self): #+ " missing uniq_miss fr_found" logging.info( "module expected found" - + " missing uniq_miss fr_found" + + " missing uniq_miss fr_found" ) logging.info("=" * 100) From fd6bb215865d622d0eede42b3868edd2b32ace25 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Thu, 30 May 2024 09:16:21 +0000 Subject: [PATCH 047/217] improved log and error msg --- shapepipe/modules/merge_headers_runner.py | 2 ++ shapepipe/modules/psfex_interp_package/psfex_interp.py | 2 +- shapepipe/modules/sextractor_package/sextractor_script.py | 2 +- 3 files changed, 4 insertions(+), 2 deletions(-) diff --git a/shapepipe/modules/merge_headers_runner.py b/shapepipe/modules/merge_headers_runner.py index 9e692bba7..9f64d6788 100644 --- a/shapepipe/modules/merge_headers_runner.py +++ b/shapepipe/modules/merge_headers_runner.py @@ -38,5 +38,7 @@ def merge_headers_runner( # Merge header files merge_headers(input_file_list, output_dir) + w_log.info(f"Merged {len(input_file_list)} input file headers") + # No return objects return None, None diff --git a/shapepipe/modules/psfex_interp_package/psfex_interp.py b/shapepipe/modules/psfex_interp_package/psfex_interp.py index 74064c296..1a3a0e50d 100644 --- a/shapepipe/modules/psfex_interp_package/psfex_interp.py +++ b/shapepipe/modules/psfex_interp_package/psfex_interp.py @@ -579,7 +579,7 @@ def _interpolate_me(self): if key_ne not in cat.get_data().dtype.names: raise KeyError( f'Key {key_ne} not found in input galaxy catalogue' - + f'{self._galcat_path}, needed for' + + f' {self._galcat_path}, needed for' + ' PSF interpolation to multi-epoch data; run previous module' + ' (SExtractor) in multi-epoch mode' ) diff --git a/shapepipe/modules/sextractor_package/sextractor_script.py b/shapepipe/modules/sextractor_package/sextractor_script.py index 5e41b8c96..3720c00bc 100644 --- a/shapepipe/modules/sextractor_package/sextractor_script.py +++ b/shapepipe/modules/sextractor_package/sextractor_script.py @@ -108,7 +108,7 @@ def make_post_process(cat_path, f_wcs_path, pos_params, ccd_size): if exp not in f_wcs: raise KeyError( f"Exposure {exp} used in image {cat_path} but not" - + f" found in header file {f_wcs_path. Make sure this" + + f" found in header file {f_wcs_path}. Make sure this" + " file is complete." ) w = f_wcs[exp][idx_j]['WCS'] From 760c35180d8ba381161a7949eaa27e3ded4a7809 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Thu, 30 May 2024 09:27:32 +0000 Subject: [PATCH 048/217] tile processing: using all split exp inputs, not only last --- example/cfis/config_exp_Mh.ini | 2 ++ example/cfis/config_tile_PiViSmVi_canfar.ini | 2 +- 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/example/cfis/config_exp_Mh.ini b/example/cfis/config_exp_Mh.ini index 59f6edc56..2ad16ef0d 100644 --- a/example/cfis/config_exp_Mh.ini +++ b/example/cfis/config_exp_Mh.ini @@ -55,6 +55,8 @@ TIMEOUT = 96:00:00 [MERGE_HEADERS_RUNNER] +INPUT_DIR = last:split_exp_runner + FILE_PATTERN = headers FILE_EXT = .npy diff --git a/example/cfis/config_tile_PiViSmVi_canfar.ini b/example/cfis/config_tile_PiViSmVi_canfar.ini index 51900b525..0ce5fe056 100644 --- a/example/cfis/config_tile_PiViSmVi_canfar.ini +++ b/example/cfis/config_tile_PiViSmVi_canfar.ini @@ -183,6 +183,6 @@ PREFIX = # Additional parameters for path and file pattern corresponding to single-exposure # run outputs -ME_IMAGE_DIR = last:split_exp_runner, last:split_exp_runner, last:split_exp_runner, all:sextractor_runner +ME_IMAGE_DIR = all:split_exp_runner, all:split_exp_runner, all:split_exp_runner, all:sextractor_runner ME_IMAGE_PATTERN = flag, image, weight, background ME_LOG_WCS = $SP_RUN/output/log_exp_headers.sqlite From 79abdc8713bae064aa4a923fd7ad4771fb6b44e4 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Thu, 30 May 2024 09:28:08 +0000 Subject: [PATCH 049/217] convert psf script err msg --- scripts/python/convert_psf_pix2world.py | 11 ++++++++--- 1 file changed, 8 insertions(+), 3 deletions(-) mode change 100644 => 100755 scripts/python/convert_psf_pix2world.py diff --git a/scripts/python/convert_psf_pix2world.py b/scripts/python/convert_psf_pix2world.py old mode 100644 new mode 100755 index 35d98778d..f7fba4da8 --- a/scripts/python/convert_psf_pix2world.py +++ b/scripts/python/convert_psf_pix2world.py @@ -1,3 +1,5 @@ +#! /usr/bin/env python3 + import sys import os import re @@ -109,7 +111,8 @@ def run(self): patch_nums = ["3", "4"] else: n_patch = 7 - patch_nums = [idx for idx in np.arange(n_patch) + 1] + #patch_nums = [idx for idx in np.arange(n_patch) + 1] + patch_nums = [1, 3] do_parallel = True @@ -127,7 +130,8 @@ def run(self): exp_run_dirs = glob.glob(subdirs) n_exp_runs = len(exp_run_dirs) print( - f"Found {n_exp_runs} input single-exposure runs for patch" + pl = 's' if n_exp_runs > 1 else '' + f"Found {n_exp_runs} input single-exposure run{pl} for patch" + f" {patch_dir} ({subdirs})" ) @@ -175,7 +179,8 @@ def transform_exposure(self, output_dir, idx, exp_run_dir): try: all_files = os.listdir(mccd_dir) if self._params["verbose"]: - print(f"Found {len(all_files)} files in {mccd_dir}") + pl = "s" if len(all_files) > 1 else "" + print(f"Found {len(all_files)} file{pl} in {mccd_dir}") except Exception: if self._params["verbose"]: print(f"Found zero PSFEx files in {mccd_dir}, skipping") From 03e8150d5c8fa2e1ebe02514672b3e76faccf7d7 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Thu, 30 May 2024 09:30:02 +0000 Subject: [PATCH 050/217] local Mh handling; 256 512 split --- scripts/sh/init_run_exclusive_canfar.sh | 69 +++++++++++++++++++++++-- 1 file changed, 64 insertions(+), 5 deletions(-) diff --git a/scripts/sh/init_run_exclusive_canfar.sh b/scripts/sh/init_run_exclusive_canfar.sh index dbaac2444..57cc81344 100755 --- a/scripts/sh/init_run_exclusive_canfar.sh +++ b/scripts/sh/init_run_exclusive_canfar.sh @@ -11,13 +11,17 @@ kind=-1 dry_run=0 nsh_jobs=8 dir=`pwd` + +# mh_local is 0 (1) if merge_header_runner is run on all exposures, +# which is standard so far (run on exposures of given tile only; new) +mh_local=1 VERBOSE=1 # TODO: psf ## Help string -usage="Usage: $(basename "$0") -j JOB -e ID -k KIND [OPTIONS] +usage="Usage: $(basename "$0") -j JOB -e ID -k KIND [OPTIONS] \n\nOptions:\n -h\tthis message\n -j, --job JOB\tRUnning JOB, bit-coded\n @@ -162,8 +166,22 @@ fi cd output -if [ ! -f log_exp_headers.sqlite ]; then - command "ln -s $dir/output/log_exp_headers.sqlite" $dry_run +if [ "$mh_local" == "1" ]; then + if [ -L log_exp_headers.sqlite ]; then + # Local Mh and symlink -> remove previous link to + # (potentially incomplete) global mh file + command "rm log_exp_headers.sqlite" $dry_run + #echo "MKDEBUG not rm hm file" + ls -l log_exp_headers.sqlite + else + echo "no mh link found" + fi +else + if [ ! -f log_exp_headers.sqlite ]; then + # Global Mh and file does not exist -> symlink to + # gllobal mh file + command "ln -s $dir/output/log_exp_headers.sqlite" $dry_run + fi fi @@ -172,8 +190,41 @@ for dir in $dir/output/run_sp_*; do command "ln -sf $dir" $dry_run done +(( do_job = $job & 16 )) +if [ "$mh_local" == "1" ] && [ $do_job != 0 ]; then + + if [ "$ID" == "-1" ]; then + echo "ID needs to be given (option -e) for mh_local and job&16" + exit 6 + fi + + echo "Creating local mh file" + + # Remove previous Sextractor run and (local) split_exp dir + command "rm -rf run_sp_tile_Sx_*" $dry_run + command "rm -rf run_sp_exp_Sp" $dry_run + + # Create new split exp run dir + new_dir="run_sp_exp_Sp//split_exp_runner/output" + command "mkdir -p $new_dir" $dry_run + + # Link to all header files of exposures used for the current tile + IDs=`echo $ID | tr "." "-"` + for exp_ID in `cat run_sp_GitFeGie_*/find_exposures_runner/output/exp_numbers-$IDs.txt` ; do + x=`echo $exp_ID | tr -d p ` + command "ln -s ../../../run_sp_exp_SpMh_2024-01-28_07-40-12/split_exp_runner/output/headers-$x.npy $new_dir/headers-$x.npy" $dry_run + done + + # Run merge_headers_runner on local exposure selection + cd .. + command "update_runs_log_file.py" $dry_run + export SP_RUN=`pwd` + command "shapepipe_run -c cfis/config_exp_Mh.ini" $dry_run + cd output +fi + # Update links to exposure run directories, which were created in job 32 -(( do_job= $job & 64 )) +(( do_job = $job & 64 )) if [[ $do_job != 0 ]]; then if [ "$kind" == "tile" ]; then cd ../../.. @@ -193,15 +244,23 @@ if [[ $do_job != 0 ]]; then fi fi -(( do_job= $job & 256 )) +(( do_job = $job & 256 )) if [[ $do_job != 0 ]]; then # Remove previous runs of this job rm -rf run_sp_Ms_20??_* + +fi + +(( do_job = $job & 512 )) +if [[ $do_job != 0 ]]; then + + # Remove previous runs of this job rm -rf run_sp_Mc_20??_* fi + cd .. # Update log file From 01fea37d9d0a9c3f80f348aa119546efcc22ce61 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Mon, 3 Jun 2024 12:09:32 +0000 Subject: [PATCH 051/217] psf converting from val input to merge stars working (not yet plotting) --- example/cfis/config_MsPl_psfex_conv.ini | 101 ++++++++++++++++++ scripts/python/convert_psf_pix2world.py | 10 +- scripts/sh/combine_runs.bash | 11 +- .../modules/merge_starcat_package/__init__.py | 5 +- .../merge_starcat_package/merge_starcat.py | 18 +++- 5 files changed, 134 insertions(+), 11 deletions(-) create mode 100644 example/cfis/config_MsPl_psfex_conv.ini diff --git a/example/cfis/config_MsPl_psfex_conv.ini b/example/cfis/config_MsPl_psfex_conv.ini new file mode 100644 index 000000000..840be689d --- /dev/null +++ b/example/cfis/config_MsPl_psfex_conv.ini @@ -0,0 +1,101 @@ +# ShapePipe configuration file for post-processing. +# merge star cat and PSF plots. + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = True + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_MsPl + +# Add date and time to RUN_NAME, optional, default: False +RUN_DATETIME = False + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = merge_starcat_runner, mccd_plots_runner + +# Parallel processing mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names +INPUT_DIR = $SP_RUN/output + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 4 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options +[MERGE_STARCAT_RUNNER] + +INPUT_DIR = last:psfex_interp_runner + +PSF_MODEL = psfex + +NUMBERING_SCHEME = -0-0 + +# Input file pattern(s), list of strings with length matching number of expected input file types +# Cannot contain wild cards +FILE_PATTERN = validation_psf_conv + +# FILE_EXT (optional) list of string extensions to identify input files +FILE_EXT = .fits + + +[MCCD_PLOTS_RUNNER] + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -0000000 + +FILE_PATTERN = full_starcat +FILE_EXT = .fits + +PLOT_MEANSHAPES = True +X_GRID = 5 +Y_GRID = 10 + +# Optional: max values for elliptity and residual ellipticities +MAX_E = 0.05 +MAX_DE = 0.005 + +PSF = psfex +PLOT_HISTOGRAMS = True +REMOVE_OUTLIERS = False + +# X_GRID, Y_GRID: correspond to the number of bins in each direction of each +# CCD from the focal plane. Ex: each CCD will be binned in 5x10 regular grids. +# +# REMOVE_OUTLIERS: Remove validated stars that are outliers in terms of shape +# before drawing the plots. + +PLOT_RHO_STATS = True +RHO_STATS_STYLE = HSC + +RHO_STATS_YLIM_L = 1e-10, 4e-5 +RHO_STATS_YLIM_R = 1e-8, 4e-5 diff --git a/scripts/python/convert_psf_pix2world.py b/scripts/python/convert_psf_pix2world.py index f7fba4da8..0e563ee06 100755 --- a/scripts/python/convert_psf_pix2world.py +++ b/scripts/python/convert_psf_pix2world.py @@ -59,7 +59,7 @@ def params_default(self): self._params = { "input_base_dir": ".", - "output_base_dir": "./star_cat", + "output_base_dir": "./psf_conv_all", "mode": "merge", "sub_dir_pattern" : "run_sp_exp_202", "file_pattern_psfint": "validation_psf", @@ -150,12 +150,12 @@ def run(self): disable=self._params["verbose"], ): self.transform_exposure( - output_dir, idx_exp, exp_run_dir + output_dir, patch, idx_exp, exp_run_dir ) else: res = Parallel(n_jobs=-1, backend="loky")( delayed(self.transform_exposure)( - output_dir, idx_exp, exp_run_dir + output_dir, patch, idx_exp, exp_run_dir ) for idx_exp, exp_run_dir in tqdm( enumerate(exp_run_dirs), @@ -164,13 +164,13 @@ def run(self): ) ) - def transform_exposure(self, output_dir, idx, exp_run_dir): + def transform_exposure(self, output_dir, patch, idx, exp_run_dir): """Transform exposures. Transform shapes for exposures for a given run (input exp run dir). """ - output_path = f"{output_dir}/psf_cat_{idx}.fits" + output_path = f"{output_dir}/validation_psf-{patch}-{idx}.fits" if os.path.exists(output_path): print(f"Skipping transform_exposure, file {output_path} exists") return diff --git a/scripts/sh/combine_runs.bash b/scripts/sh/combine_runs.bash index 3354da8b1..504b67c37 100755 --- a/scripts/sh/combine_runs.bash +++ b/scripts/sh/combine_runs.bash @@ -20,7 +20,7 @@ usage="Usage: $(basename "$0") [OPTIONS] \tPSF model, allowed are 'psfex', 'mccd', 'setools', default='$psf'\n -c, --cat TYPE\n \tCatalogue type, allowed are 'final', 'flag_tile', 'flag_exp', \n - \t'psf', 'image', default='$cat'\n + \t'psf', 'psf_conv', 'image', default='$cat'\n " ## Parse command line @@ -52,8 +52,9 @@ if [ "$cat" != "final" ] \ && [ "$cat" != "flag_tile" ] \ && [ "$cat" != "flag_exp" ] \ && [ "$cat" != "psf" ] \ + && [ "$cat" != "psf_conv" ] \ && [ "$cat" != "image" ]; then - echo "cat (option -c) needs to be 'final', 'flag_tile', 'flag_exp', 'psf', or 'image'" + echo "cat (option -c) needs to be 'final', 'flag_tile', 'flag_exp', 'psf', 'psf_conv' or 'image'" exit 2 fi @@ -154,6 +155,12 @@ elif [ "$cat" == "psf" ]; then module="mccd_interp_runner" fi +elif [ "$cat" == "psf_conv" ]; then + + run_in="$pwd/psf_conv_all/P?" + pattern="validation_psf_conv-*" + module="psfex_interp_runner" + else echo "Invalid catalogue type $cat" diff --git a/shapepipe/modules/merge_starcat_package/__init__.py b/shapepipe/modules/merge_starcat_package/__init__.py index c75a9c863..d7657b46a 100644 --- a/shapepipe/modules/merge_starcat_package/__init__.py +++ b/shapepipe/modules/merge_starcat_package/__init__.py @@ -21,7 +21,10 @@ =================================== PSF_MODEL : str - PSF model used; options are ``psfex`` or ``mccd`` + PSF model used; options are ``psfex`` or ``mccd``, ``setools'' +HDU : int, optional + HDU number of input catalogue table, default is ``1`` for ``mccd`` + and ``2`` for ``psfex`` and ``setools`` """ diff --git a/shapepipe/modules/merge_starcat_package/merge_starcat.py b/shapepipe/modules/merge_starcat_package/merge_starcat.py index 924c46aab..005366300 100644 --- a/shapepipe/modules/merge_starcat_package/merge_starcat.py +++ b/shapepipe/modules/merge_starcat_package/merge_starcat.py @@ -560,9 +560,21 @@ def process(self): flag_star += list(data_j['FLAG_STAR_HSM']) # misc - mag += list(data_j['MAG']) - snr += list(data_j['SNR']) - psfex_acc += list(data_j['ACCEPTED']) + + # MKDEBUG: The following columns do not exist (yet) + # for psf converted (pix2wcs) files. + try: + mag += list(data_j['MAG']) + except: + mag += list(np.zeros_like(data_j["X"])) + try: + snr += list(data_j['SNR']) + except: + snr += list(np.zeros_like(data_j["X"])) + try: + psfex_acc += list(data_j['ACCEPTED']) + except: + psfex_acc += list(np.zeros_like(data_j["X"])) # CCD number ccd_nb += [ From 1af8b49d3978c3638a203276737b2d19d5babaeb Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Mon, 3 Jun 2024 14:21:45 +0000 Subject: [PATCH 052/217] summary script fixed bitwise & type --- scripts/python/summary_run.py | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/scripts/python/summary_run.py b/scripts/python/summary_run.py index 5e92b659e..0039ff628 100755 --- a/scripts/python/summary_run.py +++ b/scripts/python/summary_run.py @@ -34,7 +34,11 @@ def main(argv=None): all_exposures = get_IDs_from_file(exp_IDs_path) par_runtime = update_par_runtime_after_find_exp(par_runtime, all_exposures) - if not os.path.exists(exp_IDs_path) or not job_exclusive or job_exclusive == "1": + if ( + not os.path.exists(exp_IDs_path) + or not job_exclusive + or int(job_exclusive) & 1 + ): # Run job 1 if exposure ID list file does not exist or # job_exclusive is 1 or not set key = "1" @@ -59,7 +63,7 @@ def main(argv=None): _ = keys.pop(0) for key in keys: - if job_exclusive and key != job_exclusive: + if job_exclusive and not int(key) & int(job_exclusive): continue jobs[key].print_intro() jobs[key].check_numbers(par_runtime=par_runtime) From 5468a5c6d1181186d13efd5276dca181c613842e Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Mon, 3 Jun 2024 14:22:29 +0000 Subject: [PATCH 053/217] init canfar script: added DISPLAY to avoid setools qt bug --- scripts/sh/init_run_exclusive_canfar.sh | 3 +++ 1 file changed, 3 insertions(+) diff --git a/scripts/sh/init_run_exclusive_canfar.sh b/scripts/sh/init_run_exclusive_canfar.sh index 57cc81344..620e81b06 100755 --- a/scripts/sh/init_run_exclusive_canfar.sh +++ b/scripts/sh/init_run_exclusive_canfar.sh @@ -272,6 +272,9 @@ pwd echo -n "environment: " echo $CONDA_PREFIX +# To avoid (new?) qt error with setools (-j 32) +export DISPLAY=:1.0 + command "job_sp_canfar.bash -p psfex -j $job -e $ID --n_smp $N_SMP" $dry_run cd $dir From 6bf14e0526232ec9869c6dd088162c895b328325 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Mon, 3 Jun 2024 14:22:46 +0000 Subject: [PATCH 054/217] trying job name --- scripts/sh/curl_canfar_local.sh | 14 +++++++++----- 1 file changed, 9 insertions(+), 5 deletions(-) diff --git a/scripts/sh/curl_canfar_local.sh b/scripts/sh/curl_canfar_local.sh index 5839b16e1..28351b61c 100755 --- a/scripts/sh/curl_canfar_local.sh +++ b/scripts/sh/curl_canfar_local.sh @@ -155,7 +155,8 @@ function submit_batch() { for ID in `cat $path`; do my_arg=$(set_arg) - my_session=`curl -E $SSL $SESSION?$RESOURCES -d "image=$IMAGE:$version" -d "name=${NAME}" -d "cmd=$cmd_remote" --data-urlencode "args=$my_arg" &> /dev/null` + MY_NAME="SP_P${patch}_J${job}_${ID}" + my_session=`curl -E $SSL $SESSION?$RESOURCES -d "image=$IMAGE:$version" -d "name=${MY_NAME}" -d "cmd=$cmd_remote" --data-urlencode "args=$my_arg" &> /dev/null` update_session_logs done @@ -174,17 +175,19 @@ if [ "$dry_run" == 2 ]; then if [ "$ID" == "-1" ]; then + MY_NAME="SP_P${patch}_J${job}_${ID}" + # Submit file (dry run = 2) for ID in `cat $file_IDs`; do arg=$(set_arg) - echo curl -b -E $SSL $SESSION?$RESOURCES -d \"image=$IMAGE:$version\" -d \"name=${NAME}\" -d \"cmd=$cmd_remote\" --data-urlencode \"args=$arg\" + echo curl -b -E $SSL $SESSION?$RESOURCES -d \"image=$IMAGE:$version\" -d \"name=${MY_NAME}\" -d \"cmd=$cmd_remote\" --data-urlencode \"args=$arg\" done else # Submit image (dry run = 2) arg=$(set_arg) - echo curl -E $SSL $SESSION?$RESOURCES -d \"image=$IMAGE:$version\" -d \"name=${NAME}\" -d \"cmd=$cmd_remote\" --data-urlencode \"args=$arg\" + echo curl -E $SSL $SESSION?$RESOURCES -d \"image=$IMAGE:$version\" -d \"name=${MY_NAME}\" -d \"cmd=$cmd_remote\" --data-urlencode \"args=$arg\" fi @@ -236,8 +239,9 @@ else # Submit image arg=$(set_arg) - my_session=`curl -E $SSL $SESSION?$RESOURCES -d "image=$IMAGE:$version" -d "name=${NAME}" -d "cmd=$cmd_remote" --data-urlencode "args=$arg" &> /dev/null` - echo curl -E $SSL $SESSION?$RESOURCES -d "image=$IMAGE:$version" -d "name=${NAME}" -d "cmd=$cmd_remote" --data-urlencode "args=$arg" + MY_NAME="SP_P${patch}_J${job}_${ID}" + my_session=`curl -E $SSL $SESSION?$RESOURCES -d "image=$IMAGE:$version" -d "name=${MY_NAME}" -d "cmd=$cmd_remote" --data-urlencode "args=$arg" &> /dev/null` + echo curl -E $SSL $SESSION?$RESOURCES -d "image=$IMAGE:$version" -d "name=${MY_NAME}" -d "cmd=$cmd_remote" --data-urlencode "args=$arg" update_session_logs fi From da379f16afd7e715912b7760dfb0b41f1f72ee48 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Mon, 3 Jun 2024 14:23:14 +0000 Subject: [PATCH 055/217] merge starcat mod: added input HDU number --- shapepipe/modules/merge_starcat_runner.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/shapepipe/modules/merge_starcat_runner.py b/shapepipe/modules/merge_starcat_runner.py index 5d0b43f6d..d1f388a96 100644 --- a/shapepipe/modules/merge_starcat_runner.py +++ b/shapepipe/modules/merge_starcat_runner.py @@ -37,6 +37,12 @@ def merge_starcat_runner( + f'needs to be one of {allowed_psf_models}' ) + # Get input catalogue HDU number + if config.has_option(module_config_sec, 'HDU'): + hdu = config.getint(module_config_sec, 'HDU') + else: + hdu = 1 + # Set output directory output_dir = run_dirs['output'] @@ -49,7 +55,7 @@ def merge_starcat_runner( MSC = merge_starcat.MergeStarCatSetools # Create instance of merge class - merge_inst = MSC(input_file_list, output_dir, w_log) + merge_inst = MSC(input_file_list, output_dir, w_log, hdu_table=hdu) # Run processing merge_inst.process() From 6c4029b70bacf5c82ffa7adf3762589c3ac0e98c Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Tue, 11 Jun 2024 07:56:06 +0000 Subject: [PATCH 056/217] get IDs of running jobs --- docs/source/pipeline_canfar.md | 22 ++++++++++++++++++++-- scripts/sh/stats_jobs_canfar.sh | 4 ++++ 2 files changed, 24 insertions(+), 2 deletions(-) diff --git a/docs/source/pipeline_canfar.md b/docs/source/pipeline_canfar.md index 948bcd4eb..235c5f1de 100644 --- a/docs/source/pipeline_canfar.md +++ b/docs/source/pipeline_canfar.md @@ -106,11 +106,29 @@ merge_final_cat -i output/run_sp_combined_final/make_catalog_runner/output -p cf combine_runs.bash -p $psf -c psf shapepipe_run -c $SP_CONFIG/config_MsPl_$psf.ini -# Delete jobs +# Convert star cat to WCS +## Convert all input validation psf files and create directories par patch +## psf_conv_all/P? +cd star_cat +convert_psf_pix2world.py -i .. -s run_sp_combined_psf + +# Combine previously created files within one SP run dir +combine_runs.bash -p psfex -c psf_conv + +# Merge all converted star catalogues and create final-starcat.fits +shapepipe_run -c ~/shapepipe/example/cfis/config_Ms_psfex_conv.ini + + +# Extra stuff + +## Delete jobs SSL=~/.ssl/cadcproxy.pem SESSION=https://ws-uv.canfar.net/skaha/v0/session for ID in `cat session_IDs.txt`; do echo $ID; curl -X DELETE -E $SSL $SESSION/$ID; done -# Run in terminal in parallel (-e needs to be last arg) +## Run in terminal in parallel (-e needs to be last arg) cat all.txt | xargs -P 16 -n 1 init_run_exclusive_canfar.sh -j 64 -p psfex -k tile -f summary/missing_job_64_all.txt -n -e +## Get missing jobs that are not currently running +stats_jobs_canfar.sh +grep -F -v -f jobs_running.txt summary/missing_job_128_ngmix_runner_3.txt | wc > all3.txt diff --git a/scripts/sh/stats_jobs_canfar.sh b/scripts/sh/stats_jobs_canfar.sh index fbfbbf7fa..166292a06 100755 --- a/scripts/sh/stats_jobs_canfar.sh +++ b/scripts/sh/stats_jobs_canfar.sh @@ -10,6 +10,7 @@ ## Temporary files tmpfile_jobs="jobinfo.txt" tmpfile_ids="ids.txt" +tmpfile_running="jobs_running.txt" ## curl options SSL=~/.ssl/cadcproxy.pem @@ -64,6 +65,9 @@ curl -E $SSL $SESSION &> /dev/null > $tmpfile_jobs # Get headless job IDs cat $tmpfile_jobs | grep headless -B 4 -A 12 | grep \"id | perl -F\" -ane 'print "$F[3]\n"' > $tmpfile_ids +# Get running job info +cat $tmpfile_jobs | grep Running -A 1 | grep name | perl -F\- -ane 'chomp; $F[4] =~ s/[",]//g; print "$F[3].$F[4]"' > $tmpfile_running + # Number of jobs n_headless=`cat $tmpfile_ids | wc -l` From 38719f579249b163209d3a0b2a7df958382354ae Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Tue, 11 Jun 2024 07:57:00 +0000 Subject: [PATCH 057/217] merge star cats w/o plotting; psf conv stars --- example/cfis/config_Ms_psfex.ini | 2 + ...sfex_conv.ini => config_Ms_psfex_conv.ini} | 39 ++----------------- example/cfis/config_Pl_psfex.ini | 2 + 3 files changed, 7 insertions(+), 36 deletions(-) rename example/cfis/{config_MsPl_psfex_conv.ini => config_Ms_psfex_conv.ini} (63%) diff --git a/example/cfis/config_Ms_psfex.ini b/example/cfis/config_Ms_psfex.ini index 5a105e773..5698ee6dd 100644 --- a/example/cfis/config_Ms_psfex.ini +++ b/example/cfis/config_Ms_psfex.ini @@ -66,3 +66,5 @@ FILE_PATTERN = validation_psf # FILE_EXT (optional) list of string extensions to identify input files FILE_EXT = .fits + +HDU = 2 diff --git a/example/cfis/config_MsPl_psfex_conv.ini b/example/cfis/config_Ms_psfex_conv.ini similarity index 63% rename from example/cfis/config_MsPl_psfex_conv.ini rename to example/cfis/config_Ms_psfex_conv.ini index 840be689d..9c8b763e5 100644 --- a/example/cfis/config_MsPl_psfex_conv.ini +++ b/example/cfis/config_Ms_psfex_conv.ini @@ -1,5 +1,5 @@ # ShapePipe configuration file for post-processing. -# merge star cat and PSF plots. +# merge star cat (converted to WCS) ## Default ShapePipe options @@ -9,7 +9,7 @@ VERBOSE = True # Name of run (optional) default: shapepipe_run -RUN_NAME = run_sp_MsPl +RUN_NAME = run_sp_Ms # Add date and time to RUN_NAME, optional, default: False RUN_DATETIME = False @@ -19,7 +19,7 @@ RUN_DATETIME = False [EXECUTION] # Module name, single string or comma-separated list of valid module runner names -MODULE = merge_starcat_runner, mccd_plots_runner +MODULE = merge_starcat_runner # Parallel processing mode, SMP or MPI MODE = SMP @@ -66,36 +66,3 @@ FILE_PATTERN = validation_psf_conv # FILE_EXT (optional) list of string extensions to identify input files FILE_EXT = .fits - - -[MCCD_PLOTS_RUNNER] - -# NUMBERING_SCHEME (optional) string with numbering pattern for input files -NUMBERING_SCHEME = -0000000 - -FILE_PATTERN = full_starcat -FILE_EXT = .fits - -PLOT_MEANSHAPES = True -X_GRID = 5 -Y_GRID = 10 - -# Optional: max values for elliptity and residual ellipticities -MAX_E = 0.05 -MAX_DE = 0.005 - -PSF = psfex -PLOT_HISTOGRAMS = True -REMOVE_OUTLIERS = False - -# X_GRID, Y_GRID: correspond to the number of bins in each direction of each -# CCD from the focal plane. Ex: each CCD will be binned in 5x10 regular grids. -# -# REMOVE_OUTLIERS: Remove validated stars that are outliers in terms of shape -# before drawing the plots. - -PLOT_RHO_STATS = True -RHO_STATS_STYLE = HSC - -RHO_STATS_YLIM_L = 1e-10, 4e-5 -RHO_STATS_YLIM_R = 1e-8, 4e-5 diff --git a/example/cfis/config_Pl_psfex.ini b/example/cfis/config_Pl_psfex.ini index c561f15a5..08ca41edd 100644 --- a/example/cfis/config_Pl_psfex.ini +++ b/example/cfis/config_Pl_psfex.ini @@ -60,6 +60,8 @@ NUMBERING_SCHEME = -0000000 FILE_PATTERN = full_starcat FILE_EXT = .fits +HDU = 1 + PSF = psfex PLOT_MEANSHAPES = True X_GRID = 5 From e9e76af67d3325c92a283326f4e986fde40c378e Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Tue, 11 Jun 2024 07:58:06 +0000 Subject: [PATCH 058/217] curl&init scrips: remove -k kind options, determined automatically according to -j job --- scripts/sh/curl_canfar_local.sh | 43 ++++------- scripts/sh/init_run_exclusive_canfar.sh | 97 +++++++++++++++++-------- 2 files changed, 83 insertions(+), 57 deletions(-) diff --git a/scripts/sh/curl_canfar_local.sh b/scripts/sh/curl_canfar_local.sh index 28351b61c..af4b4399b 100755 --- a/scripts/sh/curl_canfar_local.sh +++ b/scripts/sh/curl_canfar_local.sh @@ -14,7 +14,6 @@ job=-1 ID=-1 file_IDs=-1 N_SMP=1 -kind=-1 version="1.1" cmd_remote="shapepipe/scripts/sh/init_run_exclusive_canfar.sh" batch_max=200 @@ -33,8 +32,6 @@ usage="Usage: $(basename "$0") -j JOB -[e ID |-f file_IDs] -k KIND [OPTIONS] \tfile containing IDs\n -p, --psf MODEL\n \tPSF model, one in ['psfex'|'mccd'], default='$psf'\n - -k, --kind KIND\n - \timage kind, allowed are 'tile' and 'exp'\n -N, --N_SMP N_SMOp\n \tnumber of jobs (SMP mode only), default=$N_SMP\n -V, --version\n @@ -49,8 +46,8 @@ usage="Usage: $(basename "$0") -j JOB -[e ID |-f file_IDs] -k KIND [OPTIONS] ## Help if no arguments if [ -z $1 ]; then - echo -ne $usage - exit 1 + echo -ne $usage + exit 1 fi ## Parse command line @@ -76,10 +73,6 @@ while [ $# -gt 0 ]; do N_SMP="$2" shift ;; - -k|--kind) - kind="$2" - shift - ;; -b|--batch_max) batch_max="$2" shift @@ -103,11 +96,6 @@ if [ "$ID" == "-1" ] && [ "$file_IDs" == "-1" ]; then exit 3 fi -if [ "kind" == "-1" ]; then - echo "No image kind indicated, use option -k" - exit 4 -fi - if [ "$dry_run" != 0 ] && [ "$dry_run" != 1 ] && [ "$dry_run" != 2 ]; then echo "Invalid dry_run option, allowed are 0, 1, and 2" exit 5 @@ -123,15 +111,11 @@ else fi RESOURCES="ram=4&cores=$N_SMP" - -# TODO: dir as command line argument to this script dir=`pwd` -#arg="-j $job -e $ID -N $N_SMP -k $kind $arg_dry_run -d $dir" - # Return argument for local script to be called via curl function set_arg() { - my_arg="-j $job -e $ID -N $N_SMP -k $kind $arg_dry_run -d $dir" + my_arg="-j $job -e $ID -N $N_SMP $arg_dry_run -d $dir" echo $my_arg } @@ -155,8 +139,9 @@ function submit_batch() { for ID in `cat $path`; do my_arg=$(set_arg) - MY_NAME="SP_P${patch}_J${job}_${ID}" - my_session=`curl -E $SSL $SESSION?$RESOURCES -d "image=$IMAGE:$version" -d "name=${MY_NAME}" -d "cmd=$cmd_remote" --data-urlencode "args=$my_arg" &> /dev/null` + IDt=`echo $ID | tr "." "-"` + MY_NAME="SP-${patch}-J${job}-${IDt}" + my_session=`curl -E $SSL "$SESSION?$RESOURCES" -d "image=$IMAGE:$version" -d "name=${MY_NAME}" -d "cmd=$cmd_remote" --data-urlencode "args=$my_arg" &> /dev/null` update_session_logs done @@ -175,19 +160,22 @@ if [ "$dry_run" == 2 ]; then if [ "$ID" == "-1" ]; then - MY_NAME="SP_P${patch}_J${job}_${ID}" # Submit file (dry run = 2) for ID in `cat $file_IDs`; do + IDt=`echo $ID | tr "." "-"` + MY_NAME="SP-${patch}-J${job}-${IDt}" arg=$(set_arg) - echo curl -b -E $SSL $SESSION?$RESOURCES -d \"image=$IMAGE:$version\" -d \"name=${MY_NAME}\" -d \"cmd=$cmd_remote\" --data-urlencode \"args=$arg\" + echo curl -E $SSL \"$SESSION?$RESOURCES\" -d \"image=$IMAGE:$version\" -d \"name=${MY_NAME}\" -d \"cmd=$cmd_remote\" --data-urlencode \"args=$arg\" done else # Submit image (dry run = 2) arg=$(set_arg) - echo curl -E $SSL $SESSION?$RESOURCES -d \"image=$IMAGE:$version\" -d \"name=${MY_NAME}\" -d \"cmd=$cmd_remote\" --data-urlencode \"args=$arg\" + IDt=`echo $ID | tr "." "-"` + MY_NAME="SP-${patch}-J${job}-${IDt}" + echo curl -E $SSL "$SESSION?$RESOURCES" -d \"image=$IMAGE:$version\" -d \"name=${MY_NAME}\" -d \"cmd=$cmd_remote\" --data-urlencode \"args=$arg\" fi @@ -239,9 +227,10 @@ else # Submit image arg=$(set_arg) - MY_NAME="SP_P${patch}_J${job}_${ID}" - my_session=`curl -E $SSL $SESSION?$RESOURCES -d "image=$IMAGE:$version" -d "name=${MY_NAME}" -d "cmd=$cmd_remote" --data-urlencode "args=$arg" &> /dev/null` - echo curl -E $SSL $SESSION?$RESOURCES -d "image=$IMAGE:$version" -d "name=${MY_NAME}" -d "cmd=$cmd_remote" --data-urlencode "args=$arg" + IDt=`echo $ID | tr "." "-"` + MY_NAME="SP-${patch}-J${job}-${IDt}" + my_session=`curl -E $SSL "$SESSION?$RESOURCES" -d "image=$IMAGE:$version" -d "name=${MY_NAME}" -d "cmd=$cmd_remote" --data-urlencode "args=$arg" &> /dev/null` + echo curl -E $SSL "$SESSION?$RESOURCES" -d "image=$IMAGE:$version" -d "name=${MY_NAME}" -d "cmd=$cmd_remote" --data-urlencode "args=$arg" update_session_logs fi diff --git a/scripts/sh/init_run_exclusive_canfar.sh b/scripts/sh/init_run_exclusive_canfar.sh index 620e81b06..893b67f1c 100755 --- a/scripts/sh/init_run_exclusive_canfar.sh +++ b/scripts/sh/init_run_exclusive_canfar.sh @@ -7,7 +7,6 @@ job=-1 ID=-1 N_SMP=1 -kind=-1 dry_run=0 nsh_jobs=8 dir=`pwd` @@ -29,8 +28,6 @@ usage="Usage: $(basename "$0") -j JOB -e ID -k KIND [OPTIONS] \timage ID\n -p, --psf MODEL\n \tPSF model, one in ['psfex'|'mccd'], default='$psf'\n - -k, --kind KIND\n - \timage kind, allowed are 'tile' and 'exp'\n -N, --N_SMP N_SMOp\n \tnumber of jobs (SMP mode only), default from original config files\n -d, --directory\n @@ -41,8 +38,8 @@ usage="Usage: $(basename "$0") -j JOB -e ID -k KIND [OPTIONS] ## Help if no arguments if [ -z $1 ]; then - echo -ne $usage - exit 1 + echo -ne $usage + exit 1 fi ## Parse command line @@ -64,10 +61,6 @@ while [ $# -gt 0 ]; do N_SMP="$2" shift ;; - -k|--kind) - kind="$2" - shift - ;; -d|--directory) dir="$2" shift @@ -90,11 +83,6 @@ if [ "$exclusive" == "-1" ]; then exit 3 fi -if [ "$kind" == "-1" ]; then - echo "No image kind indicated, use option -k" - exit 4 -fi - # Functions ## Print string, executes command, and prints return value. @@ -135,6 +123,46 @@ function command () { echo "start init_run_exclusive_canfar" +# Set kind +job_to_test=16 +kind="none" + +# loop over possible job numbers +while [ $job_to_test -le 1024 ]; do + + (( do_job = $job & $job_to_test )) + if [[ $do_job != 0 ]]; then + + if [ $job_to_test == 32 ]; then + if [ "$kind" == "tile" ]; then + echo "Error: Invalid job $job. mixing tile and exp kinds" + exit 6 + fi + + # job=32 -> set kind to exp + kind="exp" + else + if [ "$kind" == "exp" ]; then + echo "Error: Invalid job $job. mixing tile and exp kinds" + exit 6 + fi + + # job != 32 -> set kind to tile + kind="tile" + fi + + fi + + # Multiply job number by two to get next biwise number + job_to_test=$((job_to_test * 2)) +done + +if [ "$kind" == "none" ]; then + echo "Error: invalid job $job" + exit 5 +fi + + if [ "$dry_run" == 1 ]; then echo "in dry run mode" fi @@ -160,23 +188,14 @@ fi cd $ID pwd + if [ ! -d "output" ]; then command "mkdir output" $dry_run fi cd output -if [ "$mh_local" == "1" ]; then - if [ -L log_exp_headers.sqlite ]; then - # Local Mh and symlink -> remove previous link to - # (potentially incomplete) global mh file - command "rm log_exp_headers.sqlite" $dry_run - #echo "MKDEBUG not rm hm file" - ls -l log_exp_headers.sqlite - else - echo "no mh link found" - fi -else +if [ "$mh_local" == "0" ]; then if [ ! -f log_exp_headers.sqlite ]; then # Global Mh and file does not exist -> symlink to # gllobal mh file @@ -185,19 +204,37 @@ else fi -# Update links to global run directories (GiFeGie, Uz, Ma?, combined_flag?) -for dir in $dir/output/run_sp_*; do - command "ln -sf $dir" $dry_run +# Update links to global run directories (GiFeGie, Uz) +for my_dir in $dir/output/run_sp_[GU]*; do + command "ln -sf $my_dir" $dry_run done +# Combined flags +command "ln -sf $dir/output/run_sp_Ma_tile" $dry_run +command "ln -sf $dir/output/run_sp_Ma_exp" $dry_run +# exp Sp +command "ln -sf $dir/output/run_sp_exp_SpMh" $dry_run + (( do_job = $job & 16 )) if [ "$mh_local" == "1" ] && [ $do_job != 0 ]; then + # Remove previous Sx runs + command "rm -rf $dir/output/run_tile_Sx_*" $dry_run + if [ "$ID" == "-1" ]; then echo "ID needs to be given (option -e) for mh_local and job&16" exit 6 fi + if [ -L log_exp_headers.sqlite ]; then + # Local Mh and symlink -> remove previous link to + # (potentially incomplete) global mh file + echo "Removing previous mh sym link" + command "rm log_exp_headers.sqlite" $dry_run + else + echo "no mh link found" + fi + echo "Creating local mh file" # Remove previous Sextractor run and (local) split_exp dir @@ -212,7 +249,7 @@ if [ "$mh_local" == "1" ] && [ $do_job != 0 ]; then IDs=`echo $ID | tr "." "-"` for exp_ID in `cat run_sp_GitFeGie_*/find_exposures_runner/output/exp_numbers-$IDs.txt` ; do x=`echo $exp_ID | tr -d p ` - command "ln -s ../../../run_sp_exp_SpMh_2024-01-28_07-40-12/split_exp_runner/output/headers-$x.npy $new_dir/headers-$x.npy" $dry_run + command "ln -s $dir/output/run_sp_exp_SpMh/split_exp_runner/output/headers-$x.npy $new_dir/headers-$x.npy" $dry_run done # Run merge_headers_runner on local exposure selection @@ -236,7 +273,7 @@ if [[ $do_job != 0 ]]; then if [ "$n_32" != "1" ]; then n_remove="$(($n_32-1))" echo "removing $n_remove duplicate old job-32 runs" - rm -rf `ls -rt1d run_sp_tile_Sx_* | head -$n_remove` + command "rm -rf `ls -rt1d run_sp_tile_Sx_* | head -$n_remove`" $dry_run fi # Remove previous runs of this job From af5f1dbd6edc98f37d65e455ce661bbc11628946 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Tue, 11 Jun 2024 07:58:39 +0000 Subject: [PATCH 059/217] minor bug fixes, messages --- scripts/python/convert_psf_pix2world.py | 15 ++++++++------- 1 file changed, 8 insertions(+), 7 deletions(-) diff --git a/scripts/python/convert_psf_pix2world.py b/scripts/python/convert_psf_pix2world.py index 0e563ee06..9a771dc7f 100755 --- a/scripts/python/convert_psf_pix2world.py +++ b/scripts/python/convert_psf_pix2world.py @@ -59,7 +59,7 @@ def params_default(self): self._params = { "input_base_dir": ".", - "output_base_dir": "./psf_conv_all", + "output_base_dir": ".", "mode": "merge", "sub_dir_pattern" : "run_sp_exp_202", "file_pattern_psfint": "validation_psf", @@ -112,7 +112,7 @@ def run(self): else: n_patch = 7 #patch_nums = [idx for idx in np.arange(n_patch) + 1] - patch_nums = [1, 3] + patch_nums = [1, 3, 4] do_parallel = True @@ -130,8 +130,7 @@ def run(self): exp_run_dirs = glob.glob(subdirs) n_exp_runs = len(exp_run_dirs) print( - pl = 's' if n_exp_runs > 1 else '' - f"Found {n_exp_runs} input single-exposure run{pl} for patch" + f"Found {n_exp_runs} input single-exposure run(s) for patch" + f" {patch_dir} ({subdirs})" ) @@ -170,7 +169,10 @@ def transform_exposure(self, output_dir, patch, idx, exp_run_dir): Transform shapes for exposures for a given run (input exp run dir). """ - output_path = f"{output_dir}/validation_psf-{patch}-{idx}.fits" + output_path = ( + f"{output_dir}/{self._params['file_pattern_psfint']}_conv" + + f"-{patch}-{idx}.fits" + ) if os.path.exists(output_path): print(f"Skipping transform_exposure, file {output_path} exists") return @@ -179,8 +181,7 @@ def transform_exposure(self, output_dir, patch, idx, exp_run_dir): try: all_files = os.listdir(mccd_dir) if self._params["verbose"]: - pl = "s" if len(all_files) > 1 else "" - print(f"Found {len(all_files)} file{pl} in {mccd_dir}") + print(f"Found {len(all_files)} file(s) in {mccd_dir}") except Exception: if self._params["verbose"]: print(f"Found zero PSFEx files in {mccd_dir}, skipping") From b2ceed25fe0e56cd06e8ed7f9efdd30b7cb76d76 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Tue, 11 Jun 2024 07:59:06 +0000 Subject: [PATCH 060/217] combine run for psf_conv updated input dir --- scripts/sh/combine_runs.bash | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/scripts/sh/combine_runs.bash b/scripts/sh/combine_runs.bash index 504b67c37..be1b4f04e 100755 --- a/scripts/sh/combine_runs.bash +++ b/scripts/sh/combine_runs.bash @@ -157,7 +157,7 @@ elif [ "$cat" == "psf" ]; then elif [ "$cat" == "psf_conv" ]; then - run_in="$pwd/psf_conv_all/P?" + run_in="$pwd/../P?" pattern="validation_psf_conv-*" module="psfex_interp_runner" From d61e4c52698decd36387a9c5592c87e8ef6f0baa Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Tue, 11 Jun 2024 07:59:53 +0000 Subject: [PATCH 061/217] merge star cat: set SExcat to False, so output in HDU 1 --- shapepipe/modules/merge_starcat_package/merge_starcat.py | 7 +++++-- shapepipe/modules/split_exp_package/split_exp.py | 2 +- 2 files changed, 6 insertions(+), 3 deletions(-) diff --git a/shapepipe/modules/merge_starcat_package/merge_starcat.py b/shapepipe/modules/merge_starcat_package/merge_starcat.py index 005366300..e0aa9eaa7 100644 --- a/shapepipe/modules/merge_starcat_package/merge_starcat.py +++ b/shapepipe/modules/merge_starcat_package/merge_starcat.py @@ -582,10 +582,11 @@ def process(self): ] * len(data_j['RA']) # Prepare output FITS catalogue + # MKDEBUG: SEx_cat=True -> False output = file_io.FITSCatalogue( f'{self._output_dir}/full_starcat-0000000.fits', open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite, - SEx_catalogue=True + SEx_catalogue=False, ) # Collect columns @@ -610,11 +611,13 @@ def process(self): } # Write file + # MKDEBUG for psf conv (pix2WCS) files do not write as SExtractorCat; + # we do not want to copy the first input data content to HDU #1. output.save_as_fits( data, overwrite=True, - sex_cat_path=self._input_file_list[0][0], ) + #sex_cat_path=self._input_file_list[0][0], class MergeStarCatSetools(object): diff --git a/shapepipe/modules/split_exp_package/split_exp.py b/shapepipe/modules/split_exp_package/split_exp.py index 58d215c62..3af708af7 100644 --- a/shapepipe/modules/split_exp_package/split_exp.py +++ b/shapepipe/modules/split_exp_package/split_exp.py @@ -106,7 +106,7 @@ def create_hdus( if len(hdu_list) != self._n_hdu + 1: raise ValueError( f"Image {exp_path} has {len(hdu_list)} + 1 HDUs," - + " expected were {self._n_hdu} + 1" + + f" expected were {self._n_hdu} + 1" ) for idx in range(1, self._n_hdu + 1): From e679935d4f7d3c0f706b530b89fb1e5889b44e81 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Tue, 11 Jun 2024 13:19:40 +0200 Subject: [PATCH 062/217] added gfortran to Docker; pytest to env --- Dockerfile | 1 + environment.yml | 2 +- 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/Dockerfile b/Dockerfile index 0a5e34764..7d2785ab2 100644 --- a/Dockerfile +++ b/Dockerfile @@ -18,6 +18,7 @@ RUN apt-get update --allow-releaseinfo-change && \ apt-get install automake -y && \ apt-get install autoconf -y && \ apt-get install gcc-9 g++-9 -y && \ + apt-get install gfortran -y && \ apt-get install locales -y && \ apt-get install libgl1-mesa-glx -y && \ apt-get install xterm -y && \ diff --git a/environment.yml b/environment.yml index 548c7e618..78082bbf8 100644 --- a/environment.yml +++ b/environment.yml @@ -17,7 +17,7 @@ dependencies: - numba - numpy==1.22 - pip: - - cs_util + - cs_util==0.1 - modopt - PyQt5 - pyqtgraph From 65d4a68445f239817a0c26574da5b263cfde2df5 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 14 Jun 2024 18:03:31 +0200 Subject: [PATCH 063/217] rho stats using shear_psf_leakage --- example/cfis/config_Pl_psfex.ini | 6 +- .../mccd_package/mccd_plot_utilities.py | 950 +++++++++--------- 2 files changed, 496 insertions(+), 460 deletions(-) diff --git a/example/cfis/config_Pl_psfex.ini b/example/cfis/config_Pl_psfex.ini index 08ca41edd..7685ae93e 100644 --- a/example/cfis/config_Pl_psfex.ini +++ b/example/cfis/config_Pl_psfex.ini @@ -35,7 +35,7 @@ LOG_NAME = log_sp RUN_LOG_NAME = log_run_sp # Input directory, containing input files, single string or list of names -INPUT_DIR = . +INPUT_DIR = $SP_RUN/output # Output directory OUTPUT_DIR = $SP_RUN/output @@ -60,7 +60,7 @@ NUMBERING_SCHEME = -0000000 FILE_PATTERN = full_starcat FILE_EXT = .fits -HDU = 1 +HDU = 2 PSF = psfex PLOT_MEANSHAPES = True @@ -84,7 +84,7 @@ REMOVE_OUTLIERS = False # before drawing the plots. PLOT_RHO_STATS = True -RHO_STATS_STYLE = HSC +RHO_STATS_STYLE = UNIONS RHO_STATS_YLIM_L = 1e-10, 4e-5 RHO_STATS_YLIM_R = 1e-8, 4e-5 diff --git a/shapepipe/modules/mccd_package/mccd_plot_utilities.py b/shapepipe/modules/mccd_package/mccd_plot_utilities.py index 1d3eb9f14..907709f20 100644 --- a/shapepipe/modules/mccd_package/mccd_plot_utilities.py +++ b/shapepipe/modules/mccd_package/mccd_plot_utilities.py @@ -21,11 +21,13 @@ from astropy.io import fits from stile.sys_tests import BaseCorrelationFunctionSysTest +from shear_psf_leakage.rho_tau_stat import RhoStat + # Define the backend for matplotlib -mpl.use('agg') +mpl.use("agg") # MegaCam -> plt.subplot correspondance, as given by: -''' 'COMMENT Unique detector IDs for MegaCam', +""" 'COMMENT Unique detector IDs for MegaCam', 'COMMENT (North on top, East to the left)', 'COMMENT --------------------------', 'COMMENT ba ba ba ba ba ba ba ba ba', @@ -40,7 +42,7 @@ 'COMMENT 27 28 29 30 31 32 33 34 35', 'COMMENT ab ab ab ab ab ab ab ab ab', 'COMMENT __________________________' -''' +""" def megacam_pos(index): @@ -136,12 +138,7 @@ def megacam_flip_2(xbins, ybins, ccd_nb, nb_pixel): def mean_shapes_plot( - ccd_maps, - filename, - title='', - colorbar_ampl=1.0, - wind=None, - cmap='bwr' + ccd_maps, filename, title="", colorbar_ampl=1.0, wind=None, cmap="bwr" ): r"""Mean Shapes Plot. @@ -166,8 +163,10 @@ def mean_shapes_plot( """ # colorbar amplitude if wind is None: - vmax = max( - np.nanmax(ccd_maps), np.abs(np.nanmin(ccd_maps))) * colorbar_ampl + vmax = ( + max(np.nanmax(ccd_maps), np.abs(np.nanmin(ccd_maps))) + * colorbar_ampl + ) vmin = -vmax * colorbar_ampl else: vmin, vmax = wind[0] * colorbar_ampl, wind[1] * colorbar_ampl @@ -176,24 +175,20 @@ def mean_shapes_plot( fig, axes = plt.subplots(nrows=4, ncols=11, figsize=(18, 12), dpi=400) # remove corner axes (above and below ears) for j in [0, 10, -1, -11]: - axes.flat[j].axis('off') + axes.flat[j].axis("off") for ccd_nb, ccd_map in enumerate(ccd_maps): ax = axes.flat[megacam_pos(ccd_nb)] im = ax.imshow( - ccd_map.T, - cmap=cmap, - interpolation='Nearest', - vmin=vmin, - vmax=vmax + ccd_map.T, cmap=cmap, interpolation="Nearest", vmin=vmin, vmax=vmax ) ax.set_xticks([]) ax.set_yticks([]) - ax.set_title(f'rmse={np.sqrt(np.nanmean(ccd_map ** 2)):.3e}', size=8) + ax.set_title(f"rmse={np.sqrt(np.nanmean(ccd_map ** 2)):.3e}", size=8) plt.suptitle(title, size=20) # TODO: fix title fig.subplots_adjust(right=0.8) cbar_ax = fig.add_axes([0.85, 0.15, 0.05, 0.7]) fig.colorbar(im, cax=cbar_ax) - plt.savefig(f'{filename}.png') + plt.savefig(f"{filename}.png") plt.close() @@ -206,7 +201,7 @@ def plot_meanshapes( remove_outliers=False, plot_meanshapes=True, plot_histograms=True, - psf_model_type='mccd', + psf_model_type="mccd", max_e=None, max_de=None, min_r2=None, @@ -260,38 +255,43 @@ def plot_meanshapes( starcat = fits.open(starcat_path, memmap=False) auto_colorbar = False - colorbar_ampl = 1. + colorbar_ampl = 1.0 loc2glob = mccd_utils.Loc2Glob() # MegaCam: each CCD is 2048x4612 - grid = np.linspace(0, loc2glob.x_npix, nb_pixel[0] + 1), \ - np.linspace(0, loc2glob.y_npix, nb_pixel[1] + 1) + grid = np.linspace(0, loc2glob.x_npix, nb_pixel[0] + 1), np.linspace( + 0, loc2glob.y_npix, nb_pixel[1] + 1 + ) # Flag mask - star_flags = starcat[hdu_no].data['FLAG_STAR_HSM'] - psf_flags = starcat[hdu_no].data['FLAG_PSF_HSM'] + star_flags = starcat[hdu_no].data["FLAG_STAR_HSM"] + psf_flags = starcat[hdu_no].data["FLAG_PSF_HSM"] flagmask = np.abs(star_flags - 1) * np.abs(psf_flags - 1) # convert sigma to R^2's - all_star_shapes = np.array([ - starcat[hdu_no].data['E1_STAR_HSM'], - starcat[hdu_no].data['E2_STAR_HSM'], - 2. * starcat[hdu_no].data['SIGMA_STAR_HSM'] ** 2 - ]) - all_psf_shapes = np.array([ - starcat[hdu_no].data['E1_PSF_HSM'], - starcat[hdu_no].data['E2_PSF_HSM'], - 2. * starcat[hdu_no].data['SIGMA_PSF_HSM'] ** 2 - ]) - all_CCDs = starcat[hdu_no].data['CCD_NB'] - all_X = starcat[hdu_no].data['X'] - all_Y = starcat[hdu_no].data['Y'] + all_star_shapes = np.array( + [ + starcat[hdu_no].data["E1_STAR_HSM"], + starcat[hdu_no].data["E2_STAR_HSM"], + 2.0 * starcat[hdu_no].data["SIGMA_STAR_HSM"] ** 2, + ] + ) + all_psf_shapes = np.array( + [ + starcat[hdu_no].data["E1_PSF_HSM"], + starcat[hdu_no].data["E2_PSF_HSM"], + 2.0 * starcat[hdu_no].data["SIGMA_PSF_HSM"] ** 2, + ] + ) + all_CCDs = starcat[hdu_no].data["CCD_NB"] + all_X = starcat[hdu_no].data["X"] + all_Y = starcat[hdu_no].data["Y"] # Remove stars/PSFs where the measured size is zero # Sometimes the HSM shape measurement gives objects with measured # size equals to zero without an error Flag. - bad_stars = (abs(all_star_shapes[2, :]) < 0.1) - bad_psfs = (abs(all_psf_shapes[2, :]) < 0.1) + bad_stars = abs(all_star_shapes[2, :]) < 0.1 + bad_psfs = abs(all_psf_shapes[2, :]) < 0.1 size_mask = np.abs(bad_stars) * np.abs(bad_psfs) # Remove outlier stars/PSFs all_star_shapes = all_star_shapes[:, ~size_mask] @@ -304,8 +304,8 @@ def plot_meanshapes( # Remove stars/PSFs where the measured size is zero # Sometimes the HSM shape measurement gives objects with measured # size equals to zero without an error Flag. - bad_stars = (abs(all_star_shapes[2, :]) < 0.1) - bad_psfs = (abs(all_psf_shapes[2, :]) < 0.1) + bad_stars = abs(all_star_shapes[2, :]) < 0.1 + bad_psfs = abs(all_psf_shapes[2, :]) < 0.1 size_mask = np.abs(bad_stars) * np.abs(bad_psfs) # Remove outlier stars/PSFs all_star_shapes = all_star_shapes[:, ~size_mask] @@ -316,14 +316,13 @@ def plot_meanshapes( flagmask = flagmask[~size_mask] if remove_outliers: - shape_std_max = 5. + shape_std_max = 5.0 # Outlier rejection based on the size - R2_thresh = ( - shape_std_max * np.std(all_star_shapes[2, :]) - + np.mean(all_star_shapes[2, :]) + R2_thresh = shape_std_max * np.std(all_star_shapes[2, :]) + np.mean( + all_star_shapes[2, :] ) - bad_stars = (abs(all_star_shapes[2, :]) > R2_thresh) - w_log.info(f'Nb of outlier stars: {np.sum(bad_stars):d}') + bad_stars = abs(all_star_shapes[2, :]) > R2_thresh + w_log.info(f"Nb of outlier stars: {np.sum(bad_stars):d}") # Remove outlier PSFs all_star_shapes = all_star_shapes[:, ~bad_stars] all_psf_shapes = all_psf_shapes[:, ~bad_stars] @@ -351,17 +350,17 @@ def plot_meanshapes( for ccd_nb, ccd_map in enumerate(ccd_maps): # handle different input catalogue types - if psf_model_type == 'mccd': + if psf_model_type == "mccd": - ccd_mask = ( - ((all_CCDs.astype(int) == ccd_nb) * flagmask).astype(bool) + ccd_mask = ((all_CCDs.astype(int) == ccd_nb) * flagmask).astype( + bool ) # Calculate shift to go from global coordinates to local # coordinates x_shift, y_shift = loc2glob.shift_coord(ccd_nb) - elif psf_model_type == 'psfex': + elif psf_model_type == "psfex": ccd_mask = ((all_CCDs == str(ccd_nb)) * flagmask).astype(bool) @@ -370,14 +369,14 @@ def plot_meanshapes( else: - raise ValueError(f'Invalid psf model type {psf_model_type}') + raise ValueError(f"Invalid psf model type {psf_model_type}") star_shapes = all_star_shapes[:, ccd_mask] psf_shapes = all_psf_shapes[:, ccd_mask] xs_loc, ys_loc = all_X[ccd_mask] - x_shift, all_Y[ccd_mask] - y_shift - if psf_model_type == 'mccd': + if psf_model_type == "mccd": # swap axes to match CCD orientation and origin convention ys_loc = loc2glob.y_npix - ys_loc + 1 @@ -385,7 +384,7 @@ def plot_meanshapes( xbins = np.digitize(xs_loc, grid[0]) ybins = np.digitize(ys_loc, grid[1]) - if psf_model_type == 'psfex': + if psf_model_type == "psfex": xbins, ybins = megacam_flip(xbins, ybins, ccd_nb, nb_pixel) for xb in range(nb_pixel[0]): @@ -407,38 +406,32 @@ def plot_meanshapes( else: vmax = max( np.nanmax(ccd_maps[:, :, 0]), - np.abs(np.nanmin(ccd_maps[:, :, 0])) + np.abs(np.nanmin(ccd_maps[:, :, 0])), ) vmin = -vmax wind = [vmin, vmax] title = ( - f'e_1 (stars), std={np.nanstd(ccd_maps[:, 0, 0]):.5e}\n' - + f'vmax={np.nanmax(abs(ccd_maps[:, 0, 0])):.4e}' + f"e_1 (stars), std={np.nanstd(ccd_maps[:, 0, 0]):.5e}\n" + + f"vmax={np.nanmax(abs(ccd_maps[:, 0, 0])):.4e}" ) mean_shapes_plot( - ccd_maps[:, 0, 0], - output_path + 'e1s', - title, - wind=wind + ccd_maps[:, 0, 0], output_path + "e1s", title, wind=wind ) title = ( - f'e_1 (model), std={np.nanstd(ccd_maps[:, 1, 0]):.5e}\n' - + f'vmax={np.nanmax(abs(ccd_maps[:, 1, 0])):.4e}' + f"e_1 (model), std={np.nanstd(ccd_maps[:, 1, 0]):.5e}\n" + + f"vmax={np.nanmax(abs(ccd_maps[:, 1, 0])):.4e}" ) mean_shapes_plot( - ccd_maps[:, 1, 0], - output_path + 'e1m', - title, - wind=wind + ccd_maps[:, 1, 0], output_path + "e1m", title, wind=wind ) if auto_colorbar: wind = None e1_res = ccd_maps[:, 0, 0] - ccd_maps[:, 1, 0] e1_res = e1_res[~np.isnan(e1_res)] - rmse_e1 = np.sqrt(np.mean(e1_res ** 2)) - w_log.info(f'Bins: e1 residual RMSE: {rmse_e1:.6f}\n') + rmse_e1 = np.sqrt(np.mean(e1_res**2)) + w_log.info(f"Bins: e1 residual RMSE: {rmse_e1:.6f}\n") if max_de: vmax = max_de else: @@ -446,15 +439,15 @@ def plot_meanshapes( vmin = -vmax wind = [vmin, vmax] title = ( - f'e_1 res, rmse={rmse_e1:.5e}\nvmax={vmax:.4e} , ' - + f'std={np.nanstd(ccd_maps[:, 0, 0] - ccd_maps[:, 1, 0]):.5e}' + f"e_1 res, rmse={rmse_e1:.5e}\nvmax={vmax:.4e} , " + + f"std={np.nanstd(ccd_maps[:, 0, 0] - ccd_maps[:, 1, 0]):.5e}" ) mean_shapes_plot( ccd_maps[:, 0, 0] - ccd_maps[:, 1, 0], - output_path + 'e1res', + output_path + "e1res", title, wind=wind, - colorbar_ampl=colorbar_ampl + colorbar_ampl=colorbar_ampl, ) # e_2 @@ -463,39 +456,33 @@ def plot_meanshapes( else: vmax = max( np.nanmax(ccd_maps[:, :, 1]), - np.abs(np.nanmin(ccd_maps[:, :, 1])) + np.abs(np.nanmin(ccd_maps[:, :, 1])), ) vmin = -vmax wind = [vmin, vmax] title = ( - f'e_2 (stars), std={np.nanstd(ccd_maps[:, 0, 1]):.5e}\n' - + f'vmax={np.nanmax(abs(ccd_maps[:, 0, 1])):.4e}' + f"e_2 (stars), std={np.nanstd(ccd_maps[:, 0, 1]):.5e}\n" + + f"vmax={np.nanmax(abs(ccd_maps[:, 0, 1])):.4e}" ) mean_shapes_plot( - ccd_maps[:, 0, 1], - output_path + 'e2s', - title, - wind=wind + ccd_maps[:, 0, 1], output_path + "e2s", title, wind=wind ) title = ( - f'e_2 (model), std={np.nanstd(ccd_maps[:, 1, 1]):.5e}\n' - + f'vmax={np.nanmax(abs(ccd_maps[:, 1, 1])):.4e}' + f"e_2 (model), std={np.nanstd(ccd_maps[:, 1, 1]):.5e}\n" + + f"vmax={np.nanmax(abs(ccd_maps[:, 1, 1])):.4e}" ) mean_shapes_plot( - ccd_maps[:, 1, 1], - output_path + 'e2m', - title, - wind=wind + ccd_maps[:, 1, 1], output_path + "e2m", title, wind=wind ) if auto_colorbar: wind = None - colorbar_ampl = 1. + colorbar_ampl = 1.0 e2_res = ccd_maps[:, 0, 1] - ccd_maps[:, 1, 1] e2_res = e2_res[~np.isnan(e2_res)] - rmse_e2 = np.sqrt(np.mean(e2_res ** 2)) - w_log.info(f'Bins: e2 residual RMSE: {rmse_e2:.6f}\n') + rmse_e2 = np.sqrt(np.mean(e2_res**2)) + w_log.info(f"Bins: e2 residual RMSE: {rmse_e2:.6f}\n") if max_de: vmax = max_de else: @@ -503,15 +490,15 @@ def plot_meanshapes( vmin = -vmax wind = [vmin, vmax] title = ( - f'e_2 res, rmse={rmse_e2:.5e}\nvmax={vmax:.4e} , ' - + f'std={np.nanstd(ccd_maps[:, 0, 1] - ccd_maps[:, 1, 1]):.5e}' + f"e_2 res, rmse={rmse_e2:.5e}\nvmax={vmax:.4e} , " + + f"std={np.nanstd(ccd_maps[:, 0, 1] - ccd_maps[:, 1, 1]):.5e}" ) mean_shapes_plot( ccd_maps[:, 0, 1] - ccd_maps[:, 1, 1], - output_path + 'e2res', + output_path + "e2res", title, wind=wind, - colorbar_ampl=colorbar_ampl + colorbar_ampl=colorbar_ampl, ) # R^2 @@ -526,47 +513,48 @@ def plot_meanshapes( wind = [vmin, vmax] colorbar_ampl = 1 title = ( - f'R_2 (stars), std={np.nanstd(ccd_maps[:, 0, 2]):.5e}\n' - + f'vmax={np.nanmax(abs(ccd_maps[:, 0, 2])):.4e}' + f"R_2 (stars), std={np.nanstd(ccd_maps[:, 0, 2]):.5e}\n" + + f"vmax={np.nanmax(abs(ccd_maps[:, 0, 2])):.4e}" ) mean_shapes_plot( ccd_maps[:, 0, 2], - output_path + 'R2s', + output_path + "R2s", title, wind=wind, - cmap='Reds' + cmap="Reds", ) title = ( - f'R_2 (model), std={np.nanstd(ccd_maps[:, 1, 2]):.5e}\n' - + f'vmax={np.nanmax(abs(ccd_maps[:, 1, 2])):.4e}' + f"R_2 (model), std={np.nanstd(ccd_maps[:, 1, 2]):.5e}\n" + + f"vmax={np.nanmax(abs(ccd_maps[:, 1, 2])):.4e}" ) mean_shapes_plot( ccd_maps[:, 1, 2], - output_path + 'R2m', + output_path + "R2m", title, wind=wind, - cmap='Reds' + cmap="Reds", ) if auto_colorbar: wind = [ 0, - np.nanmax(np.abs( - (ccd_maps[:, 0, 2] - ccd_maps[:, 1, 2]) / ccd_maps[:, 0, 2] - )) + np.nanmax( + np.abs( + (ccd_maps[:, 0, 2] - ccd_maps[:, 1, 2]) + / ccd_maps[:, 0, 2] + ) + ), ] - colorbar_ampl = 1. + colorbar_ampl = 1.0 R2_res = (ccd_maps[:, 0, 2] - ccd_maps[:, 1, 2]) / ccd_maps[:, 0, 2] R2_res = R2_res[~np.isnan(R2_res)] - rmse_r2 = np.sqrt(np.mean(R2_res ** 2)) + rmse_r2 = np.sqrt(np.mean(R2_res**2)) w_log.info(f"Bins: R2 residual RMSE: {rmse_r2:.6f}\n") if max_dr2: vmax = max_dr2 else: vmax = np.nanmax( - abs( - (ccd_maps[:, 0, 2] - ccd_maps[:, 1, 2]) / ccd_maps[:, 0, 2] - ) + abs((ccd_maps[:, 0, 2] - ccd_maps[:, 1, 2]) / ccd_maps[:, 0, 2]) ) wind = [0, vmax] std_title = np.nanstd( @@ -580,26 +568,23 @@ def plot_meanshapes( title = "Outliers removed\n" + title mean_shapes_plot( - np.abs( - (ccd_maps[:, 0, 2] - ccd_maps[:, 1, 2]) - / ccd_maps[:, 0, 2] - ), - output_path + 'R2res', + np.abs((ccd_maps[:, 0, 2] - ccd_maps[:, 1, 2]) / ccd_maps[:, 0, 2]), + output_path + "R2res", title, wind=wind, colorbar_ampl=colorbar_ampl, - cmap='Reds' + cmap="Reds", ) # nstars wind = (0, np.max(ccd_maps[:, 0, 3])) - title = f'Number of stars\nTotal={np.nansum(ccd_maps[:, 0, 3]):.0f}' + title = f"Number of stars\nTotal={np.nansum(ccd_maps[:, 0, 3]):.0f}" mean_shapes_plot( ccd_maps[:, 0, 3], - f'{output_path}nstar', + f"{output_path}nstar", title, wind=wind, - cmap='magma' + cmap="magma", ) # Histograms @@ -610,19 +595,19 @@ def plot_meanshapes( all_star_shapes[0, :], bins=hist_bins, range=[-0.2, 0.2], - label='stars', - alpha=0.5 + label="stars", + alpha=0.5, ) plt.hist( all_psf_shapes[0, :], bins=hist_bins, range=[-0.2, 0.2], - label='PSFs', - alpha=0.5 + label="PSFs", + alpha=0.5, ) - plt.legend(loc='best', fontsize=16) - plt.title('e1', fontsize=24) - plt.savefig(f'{output_path}e1_hist.png') + plt.legend(loc="best", fontsize=16) + plt.title("e1", fontsize=24) + plt.savefig(f"{output_path}e1_hist.png") plt.close() plt.figure(figsize=(12, 6), dpi=300) @@ -631,12 +616,12 @@ def plot_meanshapes( data_hist, bins=hist_bins, range=[np.min(data_hist), np.max(data_hist)], - label='err(star - psf)', - alpha=0.5 + label="err(star - psf)", + alpha=0.5, ) - plt.legend(loc='best', fontsize=16) - plt.title('e1 err', fontsize=24) - plt.savefig(output_path + 'err_e1_hist.png') + plt.legend(loc="best", fontsize=16) + plt.title("e1 err", fontsize=24) + plt.savefig(output_path + "err_e1_hist.png") plt.close() plt.figure(figsize=(12, 6), dpi=300) @@ -644,19 +629,19 @@ def plot_meanshapes( all_star_shapes[1, :], bins=hist_bins, range=[-0.2, 0.2], - label='stars', - alpha=0.5 + label="stars", + alpha=0.5, ) plt.hist( all_psf_shapes[1, :], bins=hist_bins, range=[-0.2, 0.2], - label='PSFs', - alpha=0.5 + label="PSFs", + alpha=0.5, ) - plt.legend(loc='best', fontsize=16) - plt.title('e2', fontsize=24) - plt.savefig(output_path + 'e2_hist.png') + plt.legend(loc="best", fontsize=16) + plt.title("e2", fontsize=24) + plt.savefig(output_path + "e2_hist.png") plt.close() plt.figure(figsize=(12, 6), dpi=300) @@ -665,12 +650,12 @@ def plot_meanshapes( data_hist, bins=hist_bins, range=[np.min(data_hist), np.max(data_hist)], - label='err(star - psf)', - alpha=0.5 + label="err(star - psf)", + alpha=0.5, ) - plt.legend(loc='best', fontsize=16) - plt.title('e2 err', fontsize=24) - plt.savefig(output_path + 'err_e2_hist.png') + plt.legend(loc="best", fontsize=16) + plt.title("e2 err", fontsize=24) + plt.savefig(output_path + "err_e2_hist.png") plt.close() plt.figure(figsize=(12, 6), dpi=300) @@ -680,36 +665,35 @@ def plot_meanshapes( all_star_shapes[2, :], bins=hist_bins, range=wind, - label='stars', - alpha=0.5 + label="stars", + alpha=0.5, ) plt.hist( all_psf_shapes[2, :], bins=hist_bins, range=wind, - label='PSFs', - alpha=0.5 + label="PSFs", + alpha=0.5, ) - plt.legend(loc='best', fontsize=16) - plt.title('R2', fontsize=24) - plt.savefig(output_path + 'R2_hist.png') + plt.legend(loc="best", fontsize=16) + plt.title("R2", fontsize=24) + plt.savefig(output_path + "R2_hist.png") plt.close() plt.figure(figsize=(12, 6), dpi=300) data_hist = ( - (all_star_shapes[2, :] - all_psf_shapes[2, :]) - / all_star_shapes[2, :] - ) + all_star_shapes[2, :] - all_psf_shapes[2, :] + ) / all_star_shapes[2, :] plt.hist( data_hist, bins=hist_bins, range=[np.min(data_hist), np.max(data_hist)], - label='err(star - psf)/star', - alpha=0.5 + label="err(star - psf)/star", + alpha=0.5, ) - plt.legend(loc='best', fontsize=16) - plt.title('R2 err', fontsize=24) - plt.savefig(output_path + 'err_R2_hist.png') + plt.legend(loc="best", fontsize=16) + plt.title("R2 err", fontsize=24) + plt.savefig(output_path + "err_R2_hist.png") plt.close() starcat.close() @@ -720,15 +704,15 @@ def neg_dash( x_in, y_in, yerr_in, - plot_name='', + plot_name="", vertical_lines=True, - xlabel='', - ylabel='', - rho_nb='', + xlabel="", + ylabel="", + rho_nb="", ylim=None, semilogx=False, semilogy=False, - **kwargs + **kwargs, ): r"""Neg Dash. @@ -770,14 +754,19 @@ def neg_dash( # catch and separate errorbar-specific keywords from Lines2D ones safekwargs = dict(kwargs) errbkwargs = dict() - if 'linestyle' in kwargs.keys(): + if "linestyle" in kwargs.keys(): print( - 'Warning: linestyle was provided but that would kind of defeat' - + 'the purpose, so I will just ignore it. Sorry.' + "Warning: linestyle was provided but that would kind of defeat" + + "the purpose, so I will just ignore it. Sorry." ) - del safekwargs['linestyle'] + del safekwargs["linestyle"] for errorbar_kword in [ - 'fmt', 'ecolor', 'elinewidth', 'capsize', 'barsabove', 'errorevery' + "fmt", + "ecolor", + "elinewidth", + "capsize", + "barsabove", + "errorevery", ]: if errorbar_kword in kwargs.keys(): # posfmt = '-'+kwargs['fmt'] @@ -795,7 +784,7 @@ def neg_dash( x[:first_change], y[:first_change], yerr=yerr[:first_change], - linestyle='-', + linestyle="-", **errbkwargs, ) if vertical_lines: @@ -803,14 +792,14 @@ def neg_dash( x[first_change - 1], 0, y[first_change - 1], - linestyle='-', + linestyle="-", **safekwargs, ) plt.vlines( x[first_change], 0, np.abs(y[first_change]), - linestyle='--', + linestyle="--", **safekwargs, ) else: @@ -818,7 +807,7 @@ def neg_dash( x[:first_change], np.abs(y[:first_change]), yerr=yerr[:first_change], - linestyle='--', + linestyle="--", **errbkwargs, ) if vertical_lines: @@ -826,14 +815,14 @@ def neg_dash( x[first_change - 1], 0, np.abs(y[first_change - 1]), - linestyle='--', + linestyle="--", **safekwargs, ) plt.vlines( x[first_change], 0, y[first_change], - linestyle='-', + linestyle="-", **safekwargs, ) x = x[first_change:] @@ -843,18 +832,19 @@ def neg_dash( first_change = np.argmax(current_sign * y < 0) # one last time when `first_change'==0 ie no more changes: if rho_nb: - lab = fr'$\rho_{rho_nb}(\theta)$' + lab = rf"$\rho_{rho_nb}(\theta)$" else: - lab = '' + lab = "" if current_sign > 0: - plt.errorbar(x, y, yerr=yerr, linestyle='-', label=lab, **errbkwargs) + plt.errorbar(x, y, yerr=yerr, linestyle="-", label=lab, **errbkwargs) else: - plt.errorbar(x, np.abs(y), yerr=yerr, linestyle='--', label=lab, - **errbkwargs) + plt.errorbar( + x, np.abs(y), yerr=yerr, linestyle="--", label=lab, **errbkwargs + ) if semilogx: - plt.xscale('log') + plt.xscale("log") if semilogy: - plt.yscale('log') + plt.yscale("log") if ylim is not None: plt.ylim(ylim) plt.xlabel(xlabel) @@ -872,11 +862,7 @@ class new_BaseCorrelationFunctionSysTest(BaseCorrelationFunctionSysTest): """ def make_catalogue( - self, - data, - config=None, - use_as_k=None, - use_chip_coords=False + self, data, config=None, use_as_k=None, use_chip_coords=False ): """Make Catalogue. @@ -911,43 +897,45 @@ def make_catalogue( catalog_kwargs = {} fields = data.dtype.names - if 'ra' in fields and 'dec' in fields: + if "ra" in fields and "dec" in fields: if not use_chip_coords: - catalog_kwargs['ra'] = data['ra'] - catalog_kwargs['dec'] = data['dec'] - elif 'x' in fields and 'y' in fields: - catalog_kwargs['x'] = data['x'] - catalog_kwargs['y'] = data['y'] + catalog_kwargs["ra"] = data["ra"] + catalog_kwargs["dec"] = data["dec"] + elif "x" in fields and "y" in fields: + catalog_kwargs["x"] = data["x"] + catalog_kwargs["y"] = data["y"] else: raise ValueError( "Chip coordinates requested, but 'x' and 'y' fields" - "not found in data") - elif 'x' in fields and 'y' in fields: - catalog_kwargs['x'] = data['x'] - catalog_kwargs['y'] = data['y'] + "not found in data" + ) + elif "x" in fields and "y" in fields: + catalog_kwargs["x"] = data["x"] + catalog_kwargs["y"] = data["y"] else: raise ValueError( "Data must contain (ra,dec) or (x,y) in order to do" - "correlation function tests.") - if 'g1' in fields and 'g2' in fields: - catalog_kwargs['g1'] = data['g1'] - catalog_kwargs['g2'] = data['g2'] - if 'w' in fields: - catalog_kwargs['w'] = data['w'] + "correlation function tests." + ) + if "g1" in fields and "g2" in fields: + catalog_kwargs["g1"] = data["g1"] + catalog_kwargs["g2"] = data["g2"] + if "w" in fields: + catalog_kwargs["w"] = data["w"] if use_as_k: if use_as_k in fields: - catalog_kwargs['k'] = data[use_as_k] - elif 'k' in fields: - catalog_kwargs['k'] = data['k'] + catalog_kwargs["k"] = data[use_as_k] + elif "k" in fields: + catalog_kwargs["k"] = data["k"] # Quirk of length-1 formatted arrays: the fields will be floats, not # arrays, which would break the Catalog init. try: len(data) except Exception: - if not hasattr(data, 'len') and isinstance(data, np.ndarray): + if not hasattr(data, "len") and isinstance(data, np.ndarray): for key in catalog_kwargs: catalog_kwargs[key] = np.array([catalog_kwargs[key]]) - catalog_kwargs['config'] = config + catalog_kwargs["config"] = config return treecorr.Catalog(**catalog_kwargs) @@ -959,19 +947,13 @@ class Rho1SysTest(new_BaseCorrelationFunctionSysTest): """ - short_name = 'rho1' - long_name = 'Rho1 statistics (Auto-correlation of star-PSF shapes)' - objects_list = ['star PSF'] - required_quantities = [('ra', 'dec', 'g1', 'g2', 'psf_g1', 'psf_g2', 'w')] + short_name = "rho1" + long_name = "Rho1 statistics (Auto-correlation of star-PSF shapes)" + objects_list = ["star PSF"] + required_quantities = [("ra", "dec", "g1", "g2", "psf_g1", "psf_g2", "w")] def __call__( - self, - data, - data2=None, - random=None, - random2=None, - config=None, - **kwargs + self, data, data2=None, random=None, random2=None, config=None, **kwargs ): """Call Method. @@ -996,28 +978,28 @@ def __call__( """ new_data = data.copy() - new_data['g1'] = new_data['g1'] - new_data['psf_g1'] - new_data['g2'] = new_data['g2'] - new_data['psf_g2'] + new_data["g1"] = new_data["g1"] - new_data["psf_g1"] + new_data["g2"] = new_data["g2"] - new_data["psf_g2"] if data2 is not None: new_data2 = data2.copy() - new_data2['g1'] = new_data2['g1'] - new_data2['psf_g1'] - new_data2['g2'] = new_data2['g2'] - new_data2['psf_g2'] + new_data2["g1"] = new_data2["g1"] - new_data2["psf_g1"] + new_data2["g2"] = new_data2["g2"] - new_data2["psf_g2"] else: new_data2 = data2 if random is not None: new_random = random.copy() - new_random['g1'] = new_random['g1'] - new_random['psf_g1'] - new_random['g2'] = new_random['g2'] - new_random['psf_g2'] + new_random["g1"] = new_random["g1"] - new_random["psf_g1"] + new_random["g2"] = new_random["g2"] - new_random["psf_g2"] else: new_random = random if random2 is not None: new_random2 = random2.copy() - new_random2['g1'] = new_random2['g1'] - new_random2['psf_g1'] - new_random2['g2'] = new_random2['g2'] - new_random2['psf_g2'] + new_random2["g1"] = new_random2["g1"] - new_random2["psf_g1"] + new_random2["g2"] = new_random2["g2"] - new_random2["psf_g2"] else: new_random2 = random2 return self.getCF( - 'gg', + "gg", new_data, new_data2, new_random, @@ -1035,19 +1017,13 @@ class DESRho2SysTest(new_BaseCorrelationFunctionSysTest): """ - short_name = 'rho2des' - long_name = 'Rho2 statistics (as defined in DES shape catalogue papers)' - objects_list = ['star PSF'] - required_quantities = [('ra', 'dec', 'g1', 'g2', 'psf_g1', 'psf_g2', 'w')] + short_name = "rho2des" + long_name = "Rho2 statistics (as defined in DES shape catalogue papers)" + objects_list = ["star PSF"] + required_quantities = [("ra", "dec", "g1", "g2", "psf_g1", "psf_g2", "w")] def __call__( - self, - data, - data2=None, - random=None, - random2=None, - config=None, - **kwargs + self, data, data2=None, random=None, random2=None, config=None, **kwargs ): """Call Method. @@ -1072,31 +1048,31 @@ def __call__( """ new_data = np.rec.fromarrays( - [data['ra'], data['dec'], data['g1'], data['g2'], data['w']], - names=['ra', 'dec', 'g1', 'g2', 'w'], + [data["ra"], data["dec"], data["g1"], data["g2"], data["w"]], + names=["ra", "dec", "g1", "g2", "w"], ) if data2 is None: data2 = data new_data2 = np.rec.fromarrays( [ - data2['ra'], - data2['dec'], - data2['g1'] - data2['psf_g1'], - data2['g2'] - data2['psf_g2'], - data2['w'] + data2["ra"], + data2["dec"], + data2["g1"] - data2["psf_g1"], + data2["g2"] - data2["psf_g2"], + data2["w"], ], - names=['ra', 'dec', 'g1', 'g2', 'w'], + names=["ra", "dec", "g1", "g2", "w"], ) if random is not None: new_random = np.rec.fromarrays( [ - random['ra'], - random['dec'], - random['g1'], - random['g2'], - random['w'] + random["ra"], + random["dec"], + random["g1"], + random["g2"], + random["w"], ], - names=['ra', 'dec', 'g1', 'g2', 'w'], + names=["ra", "dec", "g1", "g2", "w"], ) else: @@ -1106,24 +1082,24 @@ def __call__( if random2 is not None: new_random2 = np.rec.fromarrays( [ - data2['ra'], - data2['dec'], - data2['g1'] - data2['psf_g1'], - data2['g2'] - data2['psf_g2'], - data2['w'] + data2["ra"], + data2["dec"], + data2["g1"] - data2["psf_g1"], + data2["g2"] - data2["psf_g2"], + data2["w"], ], - names=['ra', 'dec', 'g1', 'g2', 'w'], + names=["ra", "dec", "g1", "g2", "w"], ) else: new_random2 = random2 return self.getCF( - 'gg', + "gg", new_data, new_data2, new_random, new_random2, config=config, - **kwargs + **kwargs, ) @@ -1134,24 +1110,16 @@ class DESRho3SysTest(new_BaseCorrelationFunctionSysTest): """ - short_name = 'rho3' + short_name = "rho3" long_name = ( - 'Rho3 statistics (Auto-correlation of star shapes weighted by ' - + 'the residual size)' + "Rho3 statistics (Auto-correlation of star shapes weighted by " + + "the residual size)" ) - objects_list = ['star PSF'] - required_quantities = [ - ('ra', 'dec', 'sigma', 'g1', 'g2', 'psf_sigma', 'w') - ] + objects_list = ["star PSF"] + required_quantities = [("ra", "dec", "sigma", "g1", "g2", "psf_sigma", "w")] def __call__( - self, - data, - data2=None, - random=None, - random2=None, - config=None, - **kwargs + self, data, data2=None, random=None, random2=None, config=None, **kwargs ): """Call Method. @@ -1176,24 +1144,33 @@ def __call__( """ new_data = np.rec.fromarrays( - [data['ra'], data['dec'], - data['g1'] * (data['sigma'] - data[ - 'psf_sigma']) / data['sigma'], - data['g2'] * (data['sigma'] - data[ - 'psf_sigma']) / data['sigma'], - data['w']], - names=['ra', 'dec', 'g1', 'g2', 'w'] + [ + data["ra"], + data["dec"], + data["g1"] + * (data["sigma"] - data["psf_sigma"]) + / data["sigma"], + data["g2"] + * (data["sigma"] - data["psf_sigma"]) + / data["sigma"], + data["w"], + ], + names=["ra", "dec", "g1", "g2", "w"], ) if data2 is not None: new_data2 = np.rec.fromarrays( [ - data2['ra'], data2['dec'], - data2['g1'] * (data2['sigma'] - data2['psf_sigma']) - / data2['sigma'], - data2['g2'] * (data2['sigma'] - data2['psf_sigma']) - / data2['sigma'], - data2['w']], - names=['ra', 'dec', 'g1', 'g2', 'w'] + data2["ra"], + data2["dec"], + data2["g1"] + * (data2["sigma"] - data2["psf_sigma"]) + / data2["sigma"], + data2["g2"] + * (data2["sigma"] - data2["psf_sigma"]) + / data2["sigma"], + data2["w"], + ], + names=["ra", "dec", "g1", "g2", "w"], ) else: @@ -1201,14 +1178,17 @@ def __call__( if random is not None: new_random = np.rec.fromarrays( [ - random['ra'], random['dec'], - random['g1'] * (random['sigma'] - random['psf_sigma']) - / random['sigma'], - random['g2'] * (random['sigma'] - random['psf_sigma']) - / random['sigma'], - random['w'] + random["ra"], + random["dec"], + random["g1"] + * (random["sigma"] - random["psf_sigma"]) + / random["sigma"], + random["g2"] + * (random["sigma"] - random["psf_sigma"]) + / random["sigma"], + random["w"], ], - names=['ra', 'dec', 'g1', 'g2', 'w'] + names=["ra", "dec", "g1", "g2", "w"], ) else: new_random = random @@ -1216,27 +1196,30 @@ def __call__( if random2 is not None: new_random2 = np.rec.fromarrays( [ - random2['ra'], random2['dec'], - random2['g1'] * (random2['sigma'] - random2['psf_sigma']) - / random2['sigma'], - random2['g2'] * (random2['sigma'] - random2['psf_sigma']) - / random2['sigma'], - random2['w'] + random2["ra"], + random2["dec"], + random2["g1"] + * (random2["sigma"] - random2["psf_sigma"]) + / random2["sigma"], + random2["g2"] + * (random2["sigma"] - random2["psf_sigma"]) + / random2["sigma"], + random2["w"], ], - names=['ra', 'dec', 'g1', 'g2', 'w'] + names=["ra", "dec", "g1", "g2", "w"], ) else: new_random2 = random2 return self.getCF( - 'gg', + "gg", new_data, new_data2, new_random, new_random2, config=config, - **kwargs + **kwargs, ) @@ -1247,24 +1230,18 @@ class DESRho4SysTest(new_BaseCorrelationFunctionSysTest): """ - short_name = 'rho4' + short_name = "rho4" long_name = ( - 'Rho4 statistics (Correlation of residual star shapes weighted ' - + 'by residual size)' + "Rho4 statistics (Correlation of residual star shapes weighted " + + "by residual size)" ) - objects_list = ['star PSF'] - required_quantities = [( - 'ra', 'dec', 'g1', 'g2', 'sigma', 'psf_g1', 'psf_g2', 'psf_sigma', 'w' - )] + objects_list = ["star PSF"] + required_quantities = [ + ("ra", "dec", "g1", "g2", "sigma", "psf_g1", "psf_g2", "psf_sigma", "w") + ] def __call__( - self, - data, - data2=None, - random=None, - random2=None, - config=None, - **kwargs + self, data, data2=None, random=None, random2=None, config=None, **kwargs ): """Call Method. @@ -1290,38 +1267,40 @@ def __call__( """ new_data = np.rec.fromarrays( [ - data['ra'], - data['dec'], - data['g1'] - data['psf_g1'], - data['g2'] - data['psf_g2'], - data['w'] + data["ra"], + data["dec"], + data["g1"] - data["psf_g1"], + data["g2"] - data["psf_g2"], + data["w"], ], - names=['ra', 'dec', 'g1', 'g2', 'w'], + names=["ra", "dec", "g1", "g2", "w"], ) if data2 is None: data2 = data new_data2 = np.rec.fromarrays( [ - data2['ra'], - data2['dec'], - data2['g1'] * (data2['sigma'] - data2['psf_sigma']) - / data2['sigma'], - data2['g2'] * (data2['sigma'] - data2['psf_sigma']) - / data2['sigma'], - data2['w'] + data2["ra"], + data2["dec"], + data2["g1"] + * (data2["sigma"] - data2["psf_sigma"]) + / data2["sigma"], + data2["g2"] + * (data2["sigma"] - data2["psf_sigma"]) + / data2["sigma"], + data2["w"], ], - names=['ra', 'dec', 'g1', 'g2', 'w'], + names=["ra", "dec", "g1", "g2", "w"], ) if random is not None: new_random = np.rec.fromarrays( [ - random['ra'], - random['dec'], - random['g1'] - random['psf_g1'], - random['g2'] - random['psf_g2'], - random['w'] + random["ra"], + random["dec"], + random["g1"] - random["psf_g1"], + random["g2"] - random["psf_g2"], + random["w"], ], - names=['ra', 'dec', 'g1', 'g2', 'w'], + names=["ra", "dec", "g1", "g2", "w"], ) else: new_random = random @@ -1330,25 +1309,28 @@ def __call__( if random2 is not None: new_random2 = np.rec.fromarrays( [ - random2['ra'], random2['dec'], - random2['g1'] * (random2['sigma'] - random2['psf_sigma']) - / random2['sigma'], - random2['g2'] * (random2['sigma'] - random2['psf_sigma']) - / random2['sigma'], - random2['w'] + random2["ra"], + random2["dec"], + random2["g1"] + * (random2["sigma"] - random2["psf_sigma"]) + / random2["sigma"], + random2["g2"] + * (random2["sigma"] - random2["psf_sigma"]) + / random2["sigma"], + random2["w"], ], - names=['ra', 'dec', 'g1', 'g2', 'w'] + names=["ra", "dec", "g1", "g2", "w"], ) else: new_random2 = random2 return self.getCF( - 'gg', + "gg", new_data, new_data2, new_random, new_random2, config=config, - **kwargs + **kwargs, ) @@ -1359,24 +1341,16 @@ class DESRho5SysTest(new_BaseCorrelationFunctionSysTest): """ - short_name = 'rho5' + short_name = "rho5" long_name = ( - 'Rho5 statistics (Correlation of star and PSF shapes weighted by ' - 'residual size)' + "Rho5 statistics (Correlation of star and PSF shapes weighted by " + "residual size)" ) - objects_list = ['star PSF'] - required_quantities = [ - ('ra', 'dec', 'sigma', 'g1', 'g2', 'psf_sigma', 'w') - ] + objects_list = ["star PSF"] + required_quantities = [("ra", "dec", "sigma", "g1", "g2", "psf_sigma", "w")] def __call__( - self, - data, - data2=None, - random=None, - random2=None, - config=None, - **kwargs + self, data, data2=None, random=None, random2=None, config=None, **kwargs ): """Call Method. @@ -1402,34 +1376,36 @@ def __call__( """ new_data = np.rec.fromarrays( - [data['ra'], data['dec'], data['g1'], data['g2'], data['w']], - names=['ra', 'dec', 'g1', 'g2', 'w'], + [data["ra"], data["dec"], data["g1"], data["g2"], data["w"]], + names=["ra", "dec", "g1", "g2", "w"], ) if data2 is None: data2 = data new_data2 = np.rec.fromarrays( [ - data2['ra'], - data2['dec'], - data2['g1'] * (data2['sigma'] - data2['psf_sigma']) - / data2['sigma'], - data2['g2'] * (data2['sigma'] - data2['psf_sigma']) - / data2['sigma'], - data2['w'] + data2["ra"], + data2["dec"], + data2["g1"] + * (data2["sigma"] - data2["psf_sigma"]) + / data2["sigma"], + data2["g2"] + * (data2["sigma"] - data2["psf_sigma"]) + / data2["sigma"], + data2["w"], ], - names=['ra', 'dec', 'g1', 'g2', 'w'], + names=["ra", "dec", "g1", "g2", "w"], ) if random is not None: new_random = np.rec.fromarrays( [ - random['ra'], - random['dec'], - random['g1'], - random['g2'], - random['w'] + random["ra"], + random["dec"], + random["g1"], + random["g2"], + random["w"], ], - names=['ra', 'dec', 'g1', 'g2', 'w'], + names=["ra", "dec", "g1", "g2", "w"], ) else: new_random = random @@ -1438,38 +1414,67 @@ def __call__( if random2 is not None: new_random2 = np.rec.fromarrays( [ - random2['ra'], - random2['dec'], - random2['g1'] * (random2['sigma'] - random2['psf_sigma']) - / random2['sigma'], - random2['g2'] * (random2['sigma'] - random2['psf_sigma']) - / random2['sigma'], - random2['w'] + random2["ra"], + random2["dec"], + random2["g1"] + * (random2["sigma"] - random2["psf_sigma"]) + / random2["sigma"], + random2["g2"] + * (random2["sigma"] - random2["psf_sigma"]) + / random2["sigma"], + random2["w"], ], - names=['ra', 'dec', 'g1', 'g2', 'w'], + names=["ra", "dec", "g1", "g2", "w"], ) else: new_random2 = random2 return self.getCF( - 'gg', + "gg", new_data, new_data2, new_random, new_random2, config=config, - **kwargs + **kwargs, ) +def get_params_rho(): + + params = {} + + params["patch_number"] = 50 + + params["ra_col"] = "RA" + params["dec_col"] = "DEC" + + pass + # params["dec_col"] = "DEC" + params["e1_PSF_col"] = "E1_PSF_HSM" + params["e2_PSF_col"] = "E2_PSF_HSM" + params["e1_star_col"] = "E1_STAR_HSM" + params["e2_star_col"] = "E2_STAR_HSM" + params["PSF_size"] = "SIGMA_PSF_HSM" + params["star_size"] = "SIGMA_STAR_HSM" + params["PSF_flag"] = "FLAG_PSF_HSM" + params["star_flag"] = "FLAG_STAR_HSM" + params["ra_units"] = "deg" + params["dec_units"] = "deg" + + params["w_col"] = None + + return params + + def rho_stats( starcat_path, output_path, - rho_def='HSC', + rho_def="HSC", hdu_no=2, ylim_l=None, ylim_r=None, - print_fun=lambda x: print(x) + print_fun=lambda x: print(x), ): """Rho Statistics. @@ -1491,58 +1496,57 @@ def rho_stats( Output message function; default is ``print`` """ - # Read starcat - starcat = fits.open(starcat_path, memmap=False) - - rho_stats_fun = None - - # Convert HSM flags to 0/1 weights - star_flags = starcat[hdu_no].data['FLAG_STAR_HSM'] - psf_flags = starcat[hdu_no].data['FLAG_PSF_HSM'] - w = np.abs(star_flags - 1) * np.abs(psf_flags - 1) - - # Convert to Stile-compatible and change sigmas to R^2 (up to constant) - stilecat = np.rec.fromarrays( - [ - w, - starcat[hdu_no].data['RA'], - starcat[hdu_no].data['DEC'], - starcat[hdu_no].data['E1_STAR_HSM'], - starcat[hdu_no].data['E2_STAR_HSM'], - starcat[hdu_no].data['SIGMA_STAR_HSM'] ** 2, - starcat[hdu_no].data['E1_PSF_HSM'], - starcat[hdu_no].data['E2_PSF_HSM'], - starcat[hdu_no].data['SIGMA_PSF_HSM'] ** 2 - ], - names=[ - 'w', - 'ra', - 'dec', - 'g1', - 'g2', - 'sigma', - 'psf_g1', - 'psf_g2', - 'psf_sigma' - ], - ) + if rho_def != "UNIONS": + # Read starcat + starcat = fits.open(starcat_path, memmap=False) + rho_stats_fun = None + # Convert HSM flags to 0/1 weights + star_flags = starcat[hdu_no].data["FLAG_STAR_HSM"] + psf_flags = starcat[hdu_no].data["FLAG_PSF_HSM"] + w = np.abs(star_flags - 1) * np.abs(psf_flags - 1) + + # Convert to Stile-compatible and change sigmas to R^2 (up to constant) + stilecat = np.rec.fromarrays( + [ + w, + starcat[hdu_no].data["RA"], + starcat[hdu_no].data["DEC"], + starcat[hdu_no].data["E1_STAR_HSM"], + starcat[hdu_no].data["E2_STAR_HSM"], + starcat[hdu_no].data["SIGMA_STAR_HSM"] ** 2, + starcat[hdu_no].data["E1_PSF_HSM"], + starcat[hdu_no].data["E2_PSF_HSM"], + starcat[hdu_no].data["SIGMA_PSF_HSM"] ** 2, + ], + names=[ + "w", + "ra", + "dec", + "g1", + "g2", + "sigma", + "psf_g1", + "psf_g2", + "psf_sigma", + ], + ) # TreeCorr config: TreeCorrConfig = { - 'ra_units': 'degrees', - 'dec_units': 'degrees', - 'max_sep': 3e2, - 'min_sep': 5e-1, - 'sep_units': 'arcmin', - 'nbins': 32 + "ra_units": "degrees", + "dec_units": "degrees", + "max_sep": 3e2, + "min_sep": 5e-1, + "sep_units": "arcmin", + "nbins": 32, } # Ininitialize all 5 rho stats - if rho_def == 'HSC': + if rho_def == "HSC": rho_stats_fun = [ - stile.CorrelationFunctionSysTest(f'Rho{j}') for j in range(1, 6) + stile.CorrelationFunctionSysTest(f"Rho{j}") for j in range(1, 6) ] - elif rho_def == 'DES': + elif rho_def == "DES": rho_stats_fun = [ Rho1SysTest(), DESRho2SysTest(), @@ -1550,36 +1554,68 @@ def rho_stats( DESRho4SysTest(), DESRho5SysTest(), ] + elif rho_def == "UNIONS": + rho_stat_handler = RhoStat( + output=out_path, + treecorr_config=TreeCorrConfig, + verbose=True, + ) + + # Set parameters + params = get_params_rho() + rho_stat_handler.catalogs.set_params(params, out_path) + + # Build catalogues + mask = True + square_size = True + ver = "id" + rho_stat_handler.build_cat_to_compute_rho( + starcat_path, + catalog_id=ver, + square_size=square_size, + mask=mask, + hdu=hdu_no, + ) + + # Compute and save rho stats + def only_p(corrs): + return np.array([corr.xip for corr in corrs]).flatten() + + rho_stat_handler.compute_rho_stats( + ver, out_base, save_cov=True, func=only_p, var_method="bootstrap" + ) + + if rho_def == "UNIONS": + return for rho in rho_stats_fun: print_fun(rho.required_quantities) # Compute them! - print_fun(' > Computing rho statistics...') + print_fun(" > Computing rho statistics...") start = time.time() rho_results = [ - rho_stat(stilecat, config=TreeCorrConfig) - for rho_stat in rho_stats_fun + rho_stat(stilecat, config=TreeCorrConfig) for rho_stat in rho_stats_fun ] - print_fun(f' > Done in {time.time() - start}s.') - np.save(output_path + 'rho_stat_results.npy', np.array(rho_results)) + print_fun(f" > Done in {time.time() - start}s.") + np.save(output_path + "rho_stat_results.npy", np.array(rho_results)) # Plots ylims = [ylim_l, ylim_r, ylim_l, ylim_l, ylim_r] - colors = ['blue', 'red', 'green', 'orange', 'cyan'] - markers = ['o', 'd', 'v', '^', 's'] + colors = ["blue", "red", "green", "orange", "cyan"] + markers = ["o", "d", "v", "^", "s"] - xlabel = r'$\theta$ [arcmin]' - ylabel = r'$\rho$-statistics' + xlabel = r"$\theta$ [arcmin]" + ylabel = r"$\rho$-statistics" capsize = 3 alpha = 0.7 for j, rhores in enumerate(rho_results): neg_dash( - rhores['meanr'], - rhores['xip'], - rhores['sigma_xip'], - f'{output_path}/rho_{j+1}.png', + rhores["meanr"], + rhores["xip"], + rhores["sigma_xip"], + f"{output_path}/rho_{j+1}.png", semilogx=True, semilogy=True, color=colors[j], @@ -1588,15 +1624,15 @@ def rho_stats( alpha=alpha, ylim=ylims[j], xlabel=xlabel, - ylabel=ylabel + ylabel=ylabel, ) for j, rhores in enumerate(rho_results): if j in [0, 2, 3]: neg_dash( - rhores['meanr'], - rhores['xip'], - rhores['sigma_xip'], + rhores["meanr"], + rhores["xip"], + rhores["sigma_xip"], semilogx=True, semilogy=True, rho_nb=j + 1, @@ -1606,18 +1642,18 @@ def rho_stats( alpha=alpha, ylim=ylims[j], xlabel=xlabel, - ylabel=ylabel + ylabel=ylabel, ) plt.legend() - plt.savefig(f'{output_path}/lefthand_rhos.pdf') + plt.savefig(f"{output_path}/lefthand_rhos.pdf") plt.close() for j, rhores in enumerate(rho_results): if j in [1, 4]: neg_dash( - rhores['meanr'], - rhores['xip'], - rhores['sigma_xip'], + rhores["meanr"], + rhores["xip"], + rhores["sigma_xip"], semilogx=True, semilogy=True, rho_nb=j + 1, @@ -1627,10 +1663,10 @@ def rho_stats( alpha=alpha, ylim=ylims[j], xlabel=xlabel, - ylabel=ylabel + ylabel=ylabel, ) plt.legend() - plt.savefig(f'{output_path}/righthand_rhos.pdf') + plt.savefig(f"{output_path}/righthand_rhos.pdf") plt.close() starcat.close() From 69d78fb7f4dc42df4cec97bec02644793f8ac7c4 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 14 Jun 2024 16:05:50 +0000 Subject: [PATCH 064/217] canfar doc updated --- docs/source/pipeline_canfar.md | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/docs/source/pipeline_canfar.md b/docs/source/pipeline_canfar.md index 235c5f1de..9885efeef 100644 --- a/docs/source/pipeline_canfar.md +++ b/docs/source/pipeline_canfar.md @@ -70,7 +70,7 @@ combine_runs.bash -c flag_exp # Tile detection -curl_canfar_local.sh -j 16 -f tile_numbers.txt -k tile -p $psf -N $N_SMP +curl_canfar_local.sh -j 16 -f tile_numbers.txt -p $psf -N $N_SMP # Exposure detection @@ -78,21 +78,21 @@ curl_canfar_local.sh -j 16 -f tile_numbers.txt -k tile -p $psf -N $N_SMP ~/shapepipe/scripts/python/summary_run.py cp summary/missing_job_32_sextractor.txt all.txt -curl_canfar_local.sh -j 32 -f all.txt -k exp -p $psf -N $N_SMP +curl_canfar_local.sh -j 32 -f all.txt -p $psf -N $N_SMP # Tile preparation -curl_canfar_local.sh -j 64 -f tile_numbers.txt -k tile -p $psf -N $N_SMP +curl_canfar_local.sh -j 64 -f tile_numbers.txt -p $psf -N $N_SMP # Tile shape measurement -curl_canfar_local.sh -j 128 -f tile_numbers.txt -k tile -p $psf -N 8 +curl_canfar_local.sh -j 128 -f tile_numbers.txt -p $psf -N 8 # Merge subcatalogues -curl_canfar_local.sh -j 256 -f tile_numbers.txt -k tile -p $psf -N $N_SMP +curl_canfar_local.sh -j 256 -f tile_numbers.txt -p $psf -N $N_SMP # Create final cat -curl_canfar_local.sh -j 512 -f tile_numbers.txt -k tile -p $psf -N $N_SMP +curl_canfar_local.sh -j 512 -f tile_numbers.txt -p $psf -N $N_SMP # Run in parallel -cat mc.txt | xargs -I {} -P 16 bash -c 'init_run_exclusive_canfar.sh -p psfex -j 512 -e {} --n_smp 1 -k tile' +cat mc.txt | xargs -I {} -P 16 bash -c 'init_run_exclusive_canfar.sh -p psfex -j 512 -e {} --n_smp 1' # Combine all final cats in common output dir as links combine_runs.bash -c final -p psfex @@ -127,8 +127,8 @@ SESSION=https://ws-uv.canfar.net/skaha/v0/session for ID in `cat session_IDs.txt`; do echo $ID; curl -X DELETE -E $SSL $SESSION/$ID; done ## Run in terminal in parallel (-e needs to be last arg) -cat all.txt | xargs -P 16 -n 1 init_run_exclusive_canfar.sh -j 64 -p psfex -k tile -f summary/missing_job_64_all.txt -n -e +cat all.txt | xargs -P 16 -n 1 init_run_exclusive_canfar.sh -j 64 -p psfex -f summary/missing_job_64_all.txt -n -e ## Get missing jobs that are not currently running stats_jobs_canfar.sh -grep -F -v -f jobs_running.txt summary/missing_job_128_ngmix_runner_3.txt | wc > all3.txt +grep -F -v -f jobs_running.txt summary/missing_job_128_ngmix_runner_3.txt > all3.txt From 2f1126075a3aa24614d73e81be692d814b3875be Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 14 Jun 2024 16:06:39 +0000 Subject: [PATCH 065/217] cleaned up rho stats code --- .../mccd_package/mccd_plot_utilities.py | 27 ++++++++++++------- shapepipe/modules/mccd_plots_runner.py | 8 +++--- 2 files changed, 20 insertions(+), 15 deletions(-) diff --git a/shapepipe/modules/mccd_package/mccd_plot_utilities.py b/shapepipe/modules/mccd_package/mccd_plot_utilities.py index 1d3eb9f14..e23f54879 100644 --- a/shapepipe/modules/mccd_package/mccd_plot_utilities.py +++ b/shapepipe/modules/mccd_package/mccd_plot_utilities.py @@ -1496,23 +1496,30 @@ def rho_stats( rho_stats_fun = None + if len(starcat) <= hdu_no: + raise IndexError( + f"Input file {starcat_path} does not have HDU #{hdu_no}" + ) + data = starcat[hdu_no].data + # Convert HSM flags to 0/1 weights - star_flags = starcat[hdu_no].data['FLAG_STAR_HSM'] - psf_flags = starcat[hdu_no].data['FLAG_PSF_HSM'] + star_flags = data['FLAG_STAR_HSM'] + psf_flags = data['FLAG_PSF_HSM'] w = np.abs(star_flags - 1) * np.abs(psf_flags - 1) + # Convert to Stile-compatible and change sigmas to R^2 (up to constant) stilecat = np.rec.fromarrays( [ w, - starcat[hdu_no].data['RA'], - starcat[hdu_no].data['DEC'], - starcat[hdu_no].data['E1_STAR_HSM'], - starcat[hdu_no].data['E2_STAR_HSM'], - starcat[hdu_no].data['SIGMA_STAR_HSM'] ** 2, - starcat[hdu_no].data['E1_PSF_HSM'], - starcat[hdu_no].data['E2_PSF_HSM'], - starcat[hdu_no].data['SIGMA_PSF_HSM'] ** 2 + data['RA'], + data['DEC'], + data['E1_STAR_HSM'], + data['E2_STAR_HSM'], + data['SIGMA_STAR_HSM'] ** 2, + data['E1_PSF_HSM'], + data['E2_PSF_HSM'], + data['SIGMA_PSF_HSM'] ** 2 ], names=[ 'w', diff --git a/shapepipe/modules/mccd_plots_runner.py b/shapepipe/modules/mccd_plots_runner.py index 1c80505b7..71afe8669 100644 --- a/shapepipe/modules/mccd_plots_runner.py +++ b/shapepipe/modules/mccd_plots_runner.py @@ -152,11 +152,9 @@ def mccd_plots_runner( if plot_rho_stats: if has_stile is False or has_treecorr is False: msg = ( - '[!] In order to calculate the Rho stats the packages ' - + '_stile_ and _treecorr_ have to be correctly imported.' - + ' This was not the case, so the rho stat calculation is' - + 'aborted. For the next time make sure both of the' - + 'packages are installed.' + '[!] To calculate the rho stats the packages ' + + 'stile and treecorr are required. However, ' + + f' treecorr: {has_treecorr}, stile: {has_stile}.' ) warnings.warn(msg) w_log.info(msg) From a92236b42166c238a6b956d18a99242ac1e3806a Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 14 Jun 2024 16:06:56 +0000 Subject: [PATCH 066/217] rho stats testing --- example/cfis/config_Pl_psfex.ini | 13 ++++++++----- 1 file changed, 8 insertions(+), 5 deletions(-) diff --git a/example/cfis/config_Pl_psfex.ini b/example/cfis/config_Pl_psfex.ini index 08ca41edd..b78d0d42f 100644 --- a/example/cfis/config_Pl_psfex.ini +++ b/example/cfis/config_Pl_psfex.ini @@ -35,7 +35,7 @@ LOG_NAME = log_sp RUN_LOG_NAME = log_run_sp # Input directory, containing input files, single string or list of names -INPUT_DIR = . +INPUT_DIR = $SP_RUN/output # Output directory OUTPUT_DIR = $SP_RUN/output @@ -60,10 +60,12 @@ NUMBERING_SCHEME = -0000000 FILE_PATTERN = full_starcat FILE_EXT = .fits -HDU = 1 +HDU = 2 PSF = psfex -PLOT_MEANSHAPES = True + +# was True +PLOT_MEANSHAPES = False X_GRID = 5 Y_GRID = 10 @@ -74,7 +76,8 @@ MIN_R2 = 4.5 MAX_R2 = 7 MAX_DR2 = 0.03 -PLOT_HISTOGRAMS = True +# was True +PLOT_HISTOGRAMS = False REMOVE_OUTLIERS = False # X_GRID, Y_GRID: correspond to the number of bins in each direction of each @@ -84,7 +87,7 @@ REMOVE_OUTLIERS = False # before drawing the plots. PLOT_RHO_STATS = True -RHO_STATS_STYLE = HSC +RHO_STATS_STYLE = DES RHO_STATS_YLIM_L = 1e-10, 4e-5 RHO_STATS_YLIM_R = 1e-8, 4e-5 From 67a5d44ef004013b74c74702abe886e7d56df252 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 14 Jun 2024 16:07:45 +0000 Subject: [PATCH 067/217] added -p psf to curl and init scripts (to test\!); -m MH --- scripts/sh/curl_canfar_local.sh | 14 ++++++++--- scripts/sh/curl_canfar_monitor_local.sh | 4 ++-- scripts/sh/init_canfar_remote.sh | 13 ---------- scripts/sh/init_run_canfar.sh | 21 ---------------- scripts/sh/init_run_exclusive_canfar.sh | 32 ++++++++++++++++++++----- scripts/sh/job_sp_canfar.bash | 1 + 6 files changed, 40 insertions(+), 45 deletions(-) delete mode 100755 scripts/sh/init_canfar_remote.sh delete mode 100755 scripts/sh/init_run_canfar.sh diff --git a/scripts/sh/curl_canfar_local.sh b/scripts/sh/curl_canfar_local.sh index af4b4399b..12e46cd35 100755 --- a/scripts/sh/curl_canfar_local.sh +++ b/scripts/sh/curl_canfar_local.sh @@ -11,6 +11,7 @@ NAME=shapepipe ## Default values job=-1 +psf="psfex" ID=-1 file_IDs=-1 N_SMP=1 @@ -19,8 +20,6 @@ cmd_remote="shapepipe/scripts/sh/init_run_exclusive_canfar.sh" batch_max=200 dry_run=0 -# TODO psf - ## Help string usage="Usage: $(basename "$0") -j JOB -[e ID |-f file_IDs] -k KIND [OPTIONS] \n\nOptions:\n @@ -61,6 +60,10 @@ while [ $# -gt 0 ]; do job="$2" shift ;; + -p|--psf) + job="$2" + shift + ;; -e|--exclusive) ID="$2" shift @@ -95,6 +98,11 @@ if [ "$ID" == "-1" ] && [ "$file_IDs" == "-1" ]; then echo "No image ID(s) indicated, use option -e ID or -f file_IDs" exit 3 fi + +if [ "$psf" != "psfex" ] && [ "$psf" != "mccd" ]; then + echo "PSF (option -p) needs to be 'psfex' or 'mccd'" + exit 4 +fi if [ "$dry_run" != 0 ] && [ "$dry_run" != 1 ] && [ "$dry_run" != 2 ]; then echo "Invalid dry_run option, allowed are 0, 1, and 2" @@ -115,7 +123,7 @@ dir=`pwd` # Return argument for local script to be called via curl function set_arg() { - my_arg="-j $job -e $ID -N $N_SMP $arg_dry_run -d $dir" + my_arg="-j $job -p $psf -e $ID -N $N_SMP $arg_dry_run -d $dir" echo $my_arg } diff --git a/scripts/sh/curl_canfar_monitor_local.sh b/scripts/sh/curl_canfar_monitor_local.sh index 793d80262..d2b115c1f 100755 --- a/scripts/sh/curl_canfar_monitor_local.sh +++ b/scripts/sh/curl_canfar_monitor_local.sh @@ -9,7 +9,7 @@ type=$1 echo "type=$type" -for session_ID in `cat session_IDs.txt`; do +for session_ID in `cat ids.txt`; do cmd="curl -E $SSL $SESSION/$session_ID?view=$type" echo $cmd $cmd @@ -18,7 +18,7 @@ done exit 0 while [ 1 ]; do - session_ID=`tail -n 1 session_IDs.txt` + session_ID=`tail -n 1 ids.txt` cmd="curl -E $SSL $SESSION/$session_ID?view=$type" echo $cmd $cmd diff --git a/scripts/sh/init_canfar_remote.sh b/scripts/sh/init_canfar_remote.sh deleted file mode 100755 index 8229aff23..000000000 --- a/scripts/sh/init_canfar_remote.sh +++ /dev/null @@ -1,13 +0,0 @@ -#!/bin/bash - -echo "start init canfar" - -#echo init_canfar > ~/init_canfar.log -#date >> ~/init_canfar.log - -. /opt/conda/etc/profile.d/conda.sh - -source activate shapepipe - -echo "end init canfar" - diff --git a/scripts/sh/init_run_canfar.sh b/scripts/sh/init_run_canfar.sh deleted file mode 100755 index 1945d69fc..000000000 --- a/scripts/sh/init_run_canfar.sh +++ /dev/null @@ -1,21 +0,0 @@ -#!/bin/bash - -echo "start init canfar" - -#echo init_canfar > ~/init_canfar.log -#date >> ~/init_canfar.log - -. /opt/conda/etc/profile.d/conda.sh - -conda activate shapepipe - -cd cosmostat/P3_v2/psfex - -tile_ID=$1 -n_SMP=$2 -echo "tile_ID=$tile_ID n_SMP=$n_SMP" - -job_sp $tile_ID -p psfex -j 8 -n $n_SMP - -echo "end init canfar" - diff --git a/scripts/sh/init_run_exclusive_canfar.sh b/scripts/sh/init_run_exclusive_canfar.sh index 893b67f1c..75583e5ce 100755 --- a/scripts/sh/init_run_exclusive_canfar.sh +++ b/scripts/sh/init_run_exclusive_canfar.sh @@ -13,12 +13,10 @@ dir=`pwd` # mh_local is 0 (1) if merge_header_runner is run on all exposures, # which is standard so far (run on exposures of given tile only; new) -mh_local=1 +mh_local=0 VERBOSE=1 -# TODO: psf - ## Help string usage="Usage: $(basename "$0") -j JOB -e ID -k KIND [OPTIONS] \n\nOptions:\n @@ -28,6 +26,8 @@ usage="Usage: $(basename "$0") -j JOB -e ID -k KIND [OPTIONS] \timage ID\n -p, --psf MODEL\n \tPSF model, one in ['psfex'|'mccd'], default='$psf'\n + -m, --mh_local MH\n + \tmerged header file local (MH=0) or global (MH=1); default is $MH\n -N, --N_SMP N_SMOp\n \tnumber of jobs (SMP mode only), default from original config files\n -d, --directory\n @@ -57,6 +57,14 @@ while [ $# -gt 0 ]; do ID="$2" shift ;; + -p|--psf) + psf="$2" + shift + ;; + -m|--mh_local) + mh_local="$2" + shift + ;; -N|--N_SMP) N_SMP="$2" shift @@ -72,7 +80,7 @@ while [ $# -gt 0 ]; do shift done -# Check options +## Check options if [ "$job" == "-1" ]; then echo "No job indicated, use option -j" exit 2 @@ -83,6 +91,16 @@ if [ "$exclusive" == "-1" ]; then exit 3 fi +if [ "$psf" != "psfex" ] && [ "$psf" != "mccd" ]; then + echo "PSF (option -p) needs to be 'psfex' or 'mccd'" + exit 4 +fi + +if [ "$mh_local" != "0" ] && [ "$mh_local" != "1" ]; then + echo "MH (option -m) needs to be 0 or 1" + exit 5 +fi + # Functions ## Print string, executes command, and prints return value. @@ -237,8 +255,7 @@ if [ "$mh_local" == "1" ] && [ $do_job != 0 ]; then echo "Creating local mh file" - # Remove previous Sextractor run and (local) split_exp dir - command "rm -rf run_sp_tile_Sx_*" $dry_run + # Remove previous (local) split_exp dir command "rm -rf run_sp_exp_Sp" $dry_run # Create new split exp run dir @@ -258,6 +275,9 @@ if [ "$mh_local" == "1" ] && [ $do_job != 0 ]; then export SP_RUN=`pwd` command "shapepipe_run -c cfis/config_exp_Mh.ini" $dry_run cd output + + # Remove previous Sextractor run + command "rm -rf run_sp_tile_Sx_*" $dry_run fi # Update links to exposure run directories, which were created in job 32 diff --git a/scripts/sh/job_sp_canfar.bash b/scripts/sh/job_sp_canfar.bash index 88ceae36c..7c7b50681 100755 --- a/scripts/sh/job_sp_canfar.bash +++ b/scripts/sh/job_sp_canfar.bash @@ -164,6 +164,7 @@ export VCP="vcp --certfile=$CERTFILE" # Print string, executes command, and prints return value. function command () { + echo "MKDEBUG job_sp_canfar command ($1)" cmd=$1 str=$2 From 5109bed8cfb0b1bd2fd15cc2e329f3b7ea864cc4 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 14 Jun 2024 17:11:11 +0000 Subject: [PATCH 068/217] cgf file INPUT updated --- example/cfis/config_Pl_mccd.ini | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/example/cfis/config_Pl_mccd.ini b/example/cfis/config_Pl_mccd.ini index a666d09dd..844246019 100644 --- a/example/cfis/config_Pl_mccd.ini +++ b/example/cfis/config_Pl_mccd.ini @@ -35,7 +35,7 @@ LOG_NAME = log_sp RUN_LOG_NAME = log_run_sp # Input directory, containing input files, single string or list of names -INPUT_DIR = . +INPUT_DIR = $SP_RUN/output # Output directory OUTPUT_DIR = $SP_RUN/output From 5226a0af3971ae440a91358d3cbeb087700c9198 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Sat, 15 Jun 2024 18:04:59 +0000 Subject: [PATCH 069/217] rho stats plots added UNIONS option (shear_psf_leakage) --- environment.yml | 9 ++++---- example/cfis/config_Pl_psfex.ini | 1 + .../mccd_package/mccd_plot_utilities.py | 22 +++++++++++++------ shapepipe/modules/mccd_plots_runner.py | 6 ++--- 4 files changed, 24 insertions(+), 14 deletions(-) diff --git a/environment.yml b/environment.yml index 548c7e618..34bb57f71 100644 --- a/environment.yml +++ b/environment.yml @@ -6,22 +6,23 @@ dependencies: - pip>=21.2.4 - astromatic-psfex==3.21.1 - astromatic-source-extractor==2.25.0 - - astropy==5.1 + - astropy==5.2 - automake - autoconf - cmake - galsim - joblib - libtool - - matplotlib - - numba - - numpy==1.22 + - matplotlib==3.8.4 + - numba==0.58.1 + - numpy==1.26.4 - pip: - cs_util - modopt - PyQt5 - pyqtgraph - reproject + - shear_psf_leakage - skaha - sip_tpv - sf_tools diff --git a/example/cfis/config_Pl_psfex.ini b/example/cfis/config_Pl_psfex.ini index 37d490777..8f078597f 100644 --- a/example/cfis/config_Pl_psfex.ini +++ b/example/cfis/config_Pl_psfex.ini @@ -57,6 +57,7 @@ TIMEOUT = 96:00:00 # NUMBERING_SCHEME (optional) string with numbering pattern for input files NUMBERING_SCHEME = -0000000 +#FILE_PATTERN = test FILE_PATTERN = full_starcat FILE_EXT = .fits diff --git a/shapepipe/modules/mccd_package/mccd_plot_utilities.py b/shapepipe/modules/mccd_package/mccd_plot_utilities.py index 907709f20..6c074cf67 100644 --- a/shapepipe/modules/mccd_package/mccd_plot_utilities.py +++ b/shapepipe/modules/mccd_package/mccd_plot_utilities.py @@ -5,7 +5,7 @@ It can also plot the rho statistics provided that the required packages are installed. -:Author: Tobias Liaudat +:Authors: Tobias Liaudat, Martin Kilbinger """ @@ -1448,9 +1448,6 @@ def get_params_rho(): params["ra_col"] = "RA" params["dec_col"] = "DEC" - - pass - # params["dec_col"] = "DEC" params["e1_PSF_col"] = "E1_PSF_HSM" params["e2_PSF_col"] = "E2_PSF_HSM" params["e1_star_col"] = "E1_STAR_HSM" @@ -1556,19 +1553,21 @@ def rho_stats( ] elif rho_def == "UNIONS": rho_stat_handler = RhoStat( - output=out_path, + output=output_path, treecorr_config=TreeCorrConfig, - verbose=True, + verbose=False, ) # Set parameters params = get_params_rho() - rho_stat_handler.catalogs.set_params(params, out_path) + rho_stat_handler.catalogs.set_params(params, output_path) # Build catalogues mask = True square_size = True ver = "id" + out_base = f"rho_stats_{ver}.fits" + # TODO: deal with flags rho_stat_handler.build_cat_to_compute_rho( starcat_path, catalog_id=ver, @@ -1585,6 +1584,15 @@ def only_p(corrs): ver, out_base, save_cov=True, func=only_p, var_method="bootstrap" ) + rho_stat_handler.plot_rho_stats( + [out_base], + ["b"], + [ver], + abs=False, + savefig='rho_stats.png', + legend="outside", + ) + if rho_def == "UNIONS": return diff --git a/shapepipe/modules/mccd_plots_runner.py b/shapepipe/modules/mccd_plots_runner.py index 71afe8669..7c7644d44 100644 --- a/shapepipe/modules/mccd_plots_runner.py +++ b/shapepipe/modules/mccd_plots_runner.py @@ -158,10 +158,10 @@ def mccd_plots_runner( ) warnings.warn(msg) w_log.info(msg) - elif rho_stat_plot_style != 'HSC' and rho_stat_plot_style != 'DES': + elif rho_stat_plot_style not in ("HSC", "DES", "UNIONS"): msg = ( - 'The rho stat definition should be HSC or DES. An unknown' - + ' definition was used. Rho stat calculation aborted.' + f"Invalid flag RHO_STAT_STYLE={rho_stat_plot_style}, allowed" + + " are 'HSC', 'DES', 'UNIONS'." ) warnings.warn(msg) w_log.info(msg) From 5a3e89ab2d1622d07099a0000fc25d16f5119437 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Sun, 16 Jun 2024 15:11:58 +0000 Subject: [PATCH 070/217] plot rho stats for converted star cat --- docs/source/pipeline_canfar.md | 3 +- example/cfis/config_Pl_psfex.ini | 2 +- example/cfis/config_Pl_psfex_conv.ini | 93 +++++++++++++++++++++++++++ 3 files changed, 96 insertions(+), 2 deletions(-) create mode 100644 example/cfis/config_Pl_psfex_conv.ini diff --git a/docs/source/pipeline_canfar.md b/docs/source/pipeline_canfar.md index 9885efeef..6f4f4f3e0 100644 --- a/docs/source/pipeline_canfar.md +++ b/docs/source/pipeline_canfar.md @@ -104,7 +104,8 @@ merge_final_cat -i output/run_sp_combined_final/make_catalog_runner/output -p cf # Star catalogue combine_runs.bash -p $psf -c psf -shapepipe_run -c $SP_CONFIG/config_MsPl_$psf.ini +shapepipe_run -c $SP_CONFIG/config_Ms_$psf.ini +shapepipe_run -c $SP_CONFIG/config_Pl_$psf.ini # Convert star cat to WCS ## Convert all input validation psf files and create directories par patch diff --git a/example/cfis/config_Pl_psfex.ini b/example/cfis/config_Pl_psfex.ini index 8f078597f..932263a18 100644 --- a/example/cfis/config_Pl_psfex.ini +++ b/example/cfis/config_Pl_psfex.ini @@ -12,7 +12,7 @@ VERBOSE = True RUN_NAME = run_sp_Pl # Add date and time to RUN_NAME, optional, default: False -RUN_DATETIME = True +RUN_DATETIME = False ## ShapePipe execution options diff --git a/example/cfis/config_Pl_psfex_conv.ini b/example/cfis/config_Pl_psfex_conv.ini new file mode 100644 index 000000000..de2c0679d --- /dev/null +++ b/example/cfis/config_Pl_psfex_conv.ini @@ -0,0 +1,93 @@ +# ShapePipe configuration file for post-processing. +# merge star cat and PSF plots. + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = True + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_Pl + +# Add date and time to RUN_NAME, optional, default: False +RUN_DATETIME = False + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = mccd_plots_runner + +# Parallel processing mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names +INPUT_DIR = $SP_RUN/output + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 4 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options +[MCCD_PLOTS_RUNNER] + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -0000000 + +FILE_PATTERN = full_starcat +FILE_EXT = .fits + +HDU = 1 + +PSF = psfex + +# was True +PLOT_MEANSHAPES = False +X_GRID = 5 +Y_GRID = 10 + +# Optional: max values for elliptity and residual ellipticities +MAX_E = 0.1 +MAX_DE = 0.01 +MIN_R2 = 4.5 +MAX_R2 = 7 +MAX_DR2 = 0.03 + +# was True +PLOT_HISTOGRAMS = False +REMOVE_OUTLIERS = False + +# X_GRID, Y_GRID: correspond to the number of bins in each direction of each +# CCD from the focal plane. Ex: each CCD will be binned in 5x10 regular grids. +# +# REMOVE_OUTLIERS: Remove validated stars that are outliers in terms of shape +# before drawing the plots. + +PLOT_RHO_STATS = True +RHO_STATS_STYLE = UNIONS + +RHO_STATS_YLIM_L = 1e-10, 4e-5 +RHO_STATS_YLIM_R = 1e-8, 4e-5 From f5468d796eaf3cba1320de55fbdbc0d7707023a2 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Wed, 19 Jun 2024 09:14:50 +0200 Subject: [PATCH 071/217] ran black; pipeline canfar minor update --- docs/source/conf.py | 99 +-- docs/source/pipeline_canfar.md | 2 +- environment.yml | 2 +- scripts/python/canfar_avail_results.py | 184 +++-- scripts/python/canfar_run_analyse.py | 156 ++-- scripts/python/cfis_field_select.py | 402 +++++++--- scripts/python/convert_psf_pix2world.py | 697 +++++++++++++++--- scripts/python/create_sample_results.py | 140 ++-- scripts/python/create_star_cat.py | 78 +- scripts/python/get_number_objects.py | 112 +-- scripts/python/link_to_exp_for_tile.py | 70 +- scripts/python/merge_final_cat.py | 138 ++-- scripts/python/stats_global.py | 190 +++-- scripts/python/summary_params_pre_v2.py | 23 +- scripts/python/summary_run.py | 18 +- scripts/python/update_runs_log_file.py | 65 +- scripts/python/vignets2image.py | 39 +- setup.py | 39 +- shapepipe/__init__.py | 2 +- shapepipe/info.py | 48 +- shapepipe/modules/__init__.py | 6 +- shapepipe/modules/execute_example_runner.py | 16 +- .../find_exposures_package/__init__.py | 2 +- .../find_exposures_package/find_exposures.py | 22 +- shapepipe/modules/find_exposures_runner.py | 14 +- .../modules/get_images_package/__init__.py | 2 +- .../modules/get_images_package/get_images.py | 95 ++- shapepipe/modules/get_images_runner.py | 57 +- .../modules/make_cat_package/__init__.py | 2 +- .../modules/make_cat_package/make_cat.py | 284 +++---- shapepipe/modules/make_cat_runner.py | 52 +- shapepipe/modules/mask_package/__init__.py | 2 +- shapepipe/modules/mask_package/mask.py | 584 ++++++++------- shapepipe/modules/mask_runner.py | 62 +- .../match_external_package/__init__.py | 2 +- .../match_external_package/match_external.py | 30 +- shapepipe/modules/match_external_runner.py | 55 +- shapepipe/modules/mccd_fit_runner.py | 26 +- shapepipe/modules/mccd_fit_val_runner.py | 33 +- shapepipe/modules/mccd_interp_runner.py | 83 +-- shapepipe/modules/mccd_package/__init__.py | 6 +- .../mccd_package/mccd_interpolation_script.py | 265 ++++--- .../mccd_package/mccd_plot_utilities.py | 4 +- .../mccd_package/shapepipe_auxiliary_mccd.py | 172 +++-- shapepipe/modules/mccd_plots_runner.py | 72 +- .../modules/mccd_preprocessing_runner.py | 48 +- shapepipe/modules/mccd_val_runner.py | 28 +- .../modules/merge_headers_package/__init__.py | 2 +- .../merge_headers_package/merge_headers.py | 8 +- shapepipe/modules/merge_headers_runner.py | 20 +- .../merge_sep_cats_package/__init__.py | 2 +- .../merge_sep_cats_package/merge_sep_cats.py | 27 +- shapepipe/modules/merge_sep_cats_runner.py | 25 +- .../modules/merge_starcat_package/__init__.py | 2 +- .../merge_starcat_package/merge_starcat.py | 325 ++++---- shapepipe/modules/merge_starcat_runner.py | 34 +- shapepipe/modules/module_decorator.py | 32 +- shapepipe/modules/module_runners.py | 20 +- shapepipe/modules/ngmix_package/__init__.py | 2 +- shapepipe/modules/ngmix_package/ngmix.py | 438 +++++------ shapepipe/modules/ngmix_runner.py | 36 +- .../modules/pastecat_package/__init__.py | 2 +- .../modules/pastecat_package/pastecat.py | 18 +- shapepipe/modules/pastecat_runner.py | 50 +- .../modules/psfex_interp_package/__init__.py | 2 +- .../psfex_interp_package/psfex_interp.py | 376 +++++----- shapepipe/modules/psfex_interp_runner.py | 45 +- shapepipe/modules/psfex_package/__init__.py | 2 +- .../modules/psfex_package/psfex_script.py | 35 +- shapepipe/modules/psfex_runner.py | 46 +- .../python_example_package/__init__.py | 2 +- .../python_example_package/python_example.py | 6 +- shapepipe/modules/python_example_runner.py | 36 +- .../modules/random_cat_package/__init__.py | 2 +- .../modules/random_cat_package/random_cat.py | 51 +- shapepipe/modules/random_cat_runner.py | 35 +- shapepipe/modules/serial_example_runner.py | 18 +- shapepipe/modules/setools_package/__init__.py | 2 +- shapepipe/modules/setools_package/setools.py | 521 ++++++------- shapepipe/modules/setools_runner.py | 14 +- .../modules/sextractor_package/__init__.py | 2 +- .../sextractor_package/sextractor_script.py | 171 ++--- shapepipe/modules/sextractor_runner.py | 70 +- .../modules/split_exp_package/__init__.py | 2 +- .../modules/split_exp_package/split_exp.py | 44 +- shapepipe/modules/split_exp_runner.py | 20 +- .../modules/spread_model_package/__init__.py | 2 +- .../spread_model_package/spread_model.py | 78 +- shapepipe/modules/spread_model_runner.py | 34 +- .../uncompress_fits_package/__init__.py | 2 +- .../uncompress_fits.py | 8 +- shapepipe/modules/uncompress_fits_runner.py | 22 +- .../modules/vignetmaker_package/__init__.py | 2 +- .../vignetmaker_package/vignetmaker.py | 61 +- shapepipe/modules/vignetmaker_runner.py | 57 +- shapepipe/pipeline/__init__.py | 26 +- shapepipe/pipeline/args.py | 58 +- shapepipe/pipeline/config.py | 56 +- shapepipe/pipeline/dependency_handler.py | 83 ++- shapepipe/pipeline/execute.py | 20 +- shapepipe/pipeline/file_handler.py | 389 +++++----- shapepipe/pipeline/file_io.py | 299 ++++---- shapepipe/pipeline/job_handler.py | 122 ++- shapepipe/pipeline/mpi_run.py | 20 +- shapepipe/pipeline/run_log.py | 32 +- shapepipe/pipeline/shared.py | 14 +- shapepipe/pipeline/str_handler.py | 192 ++--- shapepipe/pipeline/timeout.py | 3 +- shapepipe/pipeline/worker_handler.py | 66 +- shapepipe/run.py | 93 +-- shapepipe/tests/test_get_images.py | 10 +- shapepipe/tests/test_pipeline.py | 8 +- shapepipe/tests/test_utilities.py | 8 +- shapepipe/utilities/__init__.py | 2 +- shapepipe/utilities/cfis.py | 374 +++++----- shapepipe/utilities/file_system.py | 4 +- shapepipe/utilities/galaxy.py | 16 +- shapepipe/utilities/summary.py | 52 +- 118 files changed, 5026 insertions(+), 4260 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index a191341a1..ab410f0db 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -14,18 +14,19 @@ # import os import sys -sys.path.insert(0, os.path.abspath('../..')) + +sys.path.insert(0, os.path.abspath("../..")) # -- Project information ----------------------------------------------------- -project = 'ShapePipe' -copyright = '2022, CosmoStat' -author = 'CosmoStat' +project = "ShapePipe" +copyright = "2022, CosmoStat" +author = "CosmoStat" # The short X.Y version -version = '1.0' +version = "1.0" # The full version, including alpha/beta/rc tags -release = '1.0.1' +release = "1.0.1" # -- General configuration --------------------------------------------------- @@ -38,34 +39,34 @@ # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ - 'sphinx.ext.autodoc', - 'sphinx.ext.autosummary', - 'sphinx.ext.coverage', - 'sphinx.ext.doctest', - 'sphinx.ext.ifconfig', - 'sphinx.ext.intersphinx', - 'sphinx.ext.mathjax', - 'sphinx.ext.napoleon', - 'sphinx.ext.todo', - 'sphinx.ext.viewcode', - 'sphinxcontrib.bibtex', - 'myst_parser', - 'numpydoc', + "sphinx.ext.autodoc", + "sphinx.ext.autosummary", + "sphinx.ext.coverage", + "sphinx.ext.doctest", + "sphinx.ext.ifconfig", + "sphinx.ext.intersphinx", + "sphinx.ext.mathjax", + "sphinx.ext.napoleon", + "sphinx.ext.todo", + "sphinx.ext.viewcode", + "sphinxcontrib.bibtex", + "myst_parser", + "numpydoc", ] # Include module names for objects add_module_names = False # Include init in class documentation. -autoclass_content = 'class' +autoclass_content = "class" # Audodoc options autodoc_default_options = { - 'member-order': 'bysource', - 'private-members': True, - 'special-members': '__call__', - 'show-inheritance': True, - 'exclude-members': 'urand,randint' + "member-order": "bysource", + "private-members": True, + "special-members": "__call__", + "show-inheritance": True, + "exclude-members": "urand,randint", } # Generate summaries @@ -77,56 +78,56 @@ # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # -source_suffix = ['.rst', '.md'] +source_suffix = [".rst", ".md"] # The master toctree document. -master_doc = 'index' +master_doc = "index" # If true, sectionauthor and moduleauthor directives will be shown in the # output. They are ignored by default. show_authors = True # The name of the Pygments (syntax highlighting) style to use. -pygments_style = 'default' +pygments_style = "default" # If true, `todo` and `todoList` produce output, else they produce nothing. todo_include_todos = True # -- Options for Markdown files ---------------------------------------------- -myst_enable_extensions = ['html_image'] +myst_enable_extensions = ["html_image"] # -- Options for HTML output ------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # -html_theme = 'sphinx_book_theme' +html_theme = "sphinx_book_theme" # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. # html_theme_options = { - 'repository_url': 'https://github.com/CosmoStat/shapepipe', - 'use_repository_button': True, - 'use_issues_button': True, - 'use_download_button': False, - 'use_fullscreen_button': False, - 'use_edit_page_button': True, - 'path_to_docs': 'docs/source', - 'extra_navbar': "

", + "repository_url": "https://github.com/CosmoStat/shapepipe", + "use_repository_button": True, + "use_issues_button": True, + "use_download_button": False, + "use_fullscreen_button": False, + "use_edit_page_button": True, + "path_to_docs": "docs/source", + "extra_navbar": "

", } html_collapsible_definitions = True html_awesome_headerlinks = True # The name for this set of Sphinx documents. If None, it defaults to # " v documentation". -html_title = '{0} v{1}'.format(project, version) +html_title = "{0} v{1}".format(project, version) # If not '', a 'Last updated on:' timestamp is inserted at every page bottom, # using the given strftime format. -html_last_updated_fmt = '%d %b, %Y' +html_last_updated_fmt = "%d %b, %Y" # If true, SmartyPants will be used to convert quotes and dashes to # typographically correct entities. @@ -142,21 +143,21 @@ # -- Options for HTMLHelp output --------------------------------------------- # Output file base name for HTML help builder. -htmlhelp_basename = 'ShapePipedoc' +htmlhelp_basename = "ShapePipedoc" # -- Intersphinx Mapping ---------------------------------------------- # Refer to the package libraries for type definitions intersphinx_mapping = { - 'python': ('http://docs.python.org/3', None), - 'numpy': ('https://numpy.org/doc/stable/', None), - 'scipy': ('https://docs.scipy.org/doc/scipy/reference', None), - 'matplotlib': ('https://matplotlib.org', None), - 'astropy': ('http://docs.astropy.org/en/latest/', None), + "python": ("http://docs.python.org/3", None), + "numpy": ("https://numpy.org/doc/stable/", None), + "scipy": ("https://docs.scipy.org/doc/scipy/reference", None), + "matplotlib": ("https://matplotlib.org", None), + "astropy": ("http://docs.astropy.org/en/latest/", None), } # -- BibTeX Setting ---------------------------------------------- -bibtex_bibfiles = ['refs.bib'] -bibtex_default_style = 'unsrt' -bibtex_reference_style = 'author_year' +bibtex_bibfiles = ["refs.bib"] +bibtex_default_style = "unsrt" +bibtex_reference_style = "author_year" diff --git a/docs/source/pipeline_canfar.md b/docs/source/pipeline_canfar.md index 6f4f4f3e0..468c5bd5f 100644 --- a/docs/source/pipeline_canfar.md +++ b/docs/source/pipeline_canfar.md @@ -111,7 +111,7 @@ shapepipe_run -c $SP_CONFIG/config_Pl_$psf.ini ## Convert all input validation psf files and create directories par patch ## psf_conv_all/P? cd star_cat -convert_psf_pix2world.py -i .. -s run_sp_combined_psf +convert_psf_pix2world.py -i .. -v -p mccd # Combine previously created files within one SP run dir combine_runs.bash -p psfex -c psf_conv diff --git a/environment.yml b/environment.yml index 34bb57f71..10682d1e0 100644 --- a/environment.yml +++ b/environment.yml @@ -1,4 +1,4 @@ -name: shapepipe +name: shapepipe_v1.4 channels: - conda-forge dependencies: diff --git a/scripts/python/canfar_avail_results.py b/scripts/python/canfar_avail_results.py index c44c90e31..62fbf0564 100755 --- a/scripts/python/canfar_avail_results.py +++ b/scripts/python/canfar_avail_results.py @@ -38,10 +38,10 @@ def params_default(): """ p_def = cfis.param( - input_IDs = '.', - input_path = 'vos:cfis/cosmostat/kilbinger/results', - psf = 'mccd', - extension = 'tgz', + input_IDs=".", + input_path="vos:cfis/cosmostat/kilbinger/results", + psf="mccd", + extension="tgz", ) return p_def @@ -63,25 +63,78 @@ def parse_options(p_def): Command line string """ - usage = "%prog [OPTIONS]" + usage = "%prog [OPTIONS]" parser = OptionParser(usage=usage) # I/O - parser.add_option('-i', '--input_IDs', dest='input_IDs', type='string', default=p_def.input_IDs, - help='input tile ID file(s) or directory path, default=\'{}\''.format(p_def.input_IDs)) - parser.add_option('', '--input_path', dest='input_path', type='string', default=p_def.input_path, - help='input path, local or vos url, default=\'{}\''.format(p_def.input_path)) - parser.add_option('-o', '--output_not_avail', dest='output_not_avail', type='string', - help='output file for not-available IDs, default no output') - - parser.add_option('-p', '--psf', dest='psf', type='string', default=p_def.psf, - help='PSF model, one in [\'psfex\'|\'mccd\'], default=\'{}\''.format(p_def.psf)) - - parser.add_option('-f', '--final_only', dest='final_only', action='store_true', help='only check final catalogues') - parser.add_option('-m', '--mask_only', dest='mask_only', action='store_true', help='only check mask files (pipeline_flag)') - parser.add_option('-x', '--extension', dest='extension', type='string', default=p_def.extension, - help=f'file extension, default=\'{p_def.extension}\'') - parser.add_option('-v', '--verbose', dest='verbose', action='store_true', help='verbose output') + parser.add_option( + "-i", + "--input_IDs", + dest="input_IDs", + type="string", + default=p_def.input_IDs, + help="input tile ID file(s) or directory path, default='{}'".format( + p_def.input_IDs + ), + ) + parser.add_option( + "", + "--input_path", + dest="input_path", + type="string", + default=p_def.input_path, + help="input path, local or vos url, default='{}'".format( + p_def.input_path + ), + ) + parser.add_option( + "-o", + "--output_not_avail", + dest="output_not_avail", + type="string", + help="output file for not-available IDs, default no output", + ) + + parser.add_option( + "-p", + "--psf", + dest="psf", + type="string", + default=p_def.psf, + help="PSF model, one in ['psfex'|'mccd'], default='{}'".format( + p_def.psf + ), + ) + + parser.add_option( + "-f", + "--final_only", + dest="final_only", + action="store_true", + help="only check final catalogues", + ) + parser.add_option( + "-m", + "--mask_only", + dest="mask_only", + action="store_true", + help="only check mask files (pipeline_flag)", + ) + parser.add_option( + "-x", + "--extension", + dest="extension", + type="string", + default=p_def.extension, + help=f"file extension, default='{p_def.extension}'", + ) + parser.add_option( + "-v", + "--verbose", + dest="verbose", + action="store_true", + help="verbose output", + ) options, args = parser.parse_args() @@ -102,12 +155,12 @@ def check_options(options): Result of option check. False if invalid option value. """ - if options.psf not in ['psfex', 'mccd']: - print('Invalid PSF model \'{}\''.format(options.psf)) + if options.psf not in ["psfex", "mccd"]: + print("Invalid PSF model '{}'".format(options.psf)) return False if options.final_only and options.mask_only: - print('One one of the options \'-f\' or \'-m\' can be given') + print("One one of the options '-f' or '-m' can be given") return False return True @@ -163,25 +216,32 @@ def read_input_files(input_path, verbose=False): """ if os.path.isdir(input_path): - input_files = glob.glob('{}/*'.format(input_path)) + input_files = glob.glob("{}/*".format(input_path)) else: - input_files = cfis.my_string_split(input_path, stop=True, sep=' ') + input_files = cfis.my_string_split(input_path, stop=True, sep=" ") ID_files = [] for f in input_files: if os.path.isdir(f): if verbose: - print('Skipping directory \'{}\''.format(f)) + print("Skipping directory '{}'".format(f)) else: ID_files.append(f) if verbose: - print('{} input files found'.format(len(ID_files))) + print("{} input files found".format(len(ID_files))) return ID_files -def check_results(ID_files, input_path, result_base_names, n_complete, extension, verbose=False): +def check_results( + ID_files, + input_path, + result_base_names, + n_complete, + extension, + verbose=False, +): """Count the number of result files uploaded to vos for each input ID file. Parameters @@ -207,11 +267,11 @@ def check_results(ID_files, input_path, result_base_names, n_complete, extension IDs that are not available on vos """ - m = re.match('vos:', input_path) + m = re.match("vos:", input_path) if m: ls_tmp = dir_list(input_path) else: - ls_tmp = glob.glob(f'{input_path}/*') + ls_tmp = glob.glob(f"{input_path}/*") ls_out = [os.path.basename(path) for path in ls_tmp] n_found = {} @@ -222,7 +282,7 @@ def check_results(ID_files, input_path, result_base_names, n_complete, extension for ID_list in ID_files: with open(ID_list) as f: if verbose: - print('Checking ID list file {}...'.format(ID_list)) + print("Checking ID list file {}...".format(ID_list)) n_found[ID_list] = {} n_IDs[ID_list] = 0 @@ -231,14 +291,14 @@ def check_results(ID_files, input_path, result_base_names, n_complete, extension ID = line.rstrip() n_found[ID_list][ID] = 0 - if extension == 'fits': - ID_fname = ID.replace('.', '-') - ID_fname = f'-{ID_fname}' + if extension == "fits": + ID_fname = ID.replace(".", "-") + ID_fname = f"-{ID_fname}" else: - ID_fname = f'_{ID}' + ID_fname = f"_{ID}" # Count how many result files are available for base in result_base_names: - name = '{}{}.{}'.format(base, ID_fname, extension) + name = "{}{}.{}".format(base, ID_fname, extension) if name in ls_out: n_found[ID_list][ID] = n_found[ID_list][ID] + 1 n_IDs[ID_list] = n_IDs[ID_list] + 1 @@ -265,7 +325,14 @@ def output_summary(n_found, n_IDs, n_complete): for ID_list in n_found.keys(): nf = sum(value == n_complete for value in n_found[ID_list].values()) - print('{}: {}/{} ({:.1f}%) complete'.format(os.path.basename(ID_list), nf, n_IDs[ID_list], nf/n_IDs[ID_list]*100)) + print( + "{}: {}/{} ({:.1f}%) complete".format( + os.path.basename(ID_list), + nf, + n_IDs[ID_list], + nf / n_IDs[ID_list] * 100, + ) + ) def output_IDs(ID_list, output): @@ -279,7 +346,7 @@ def output_IDs(ID_list, output): output file name """ - f = open(output, 'w') + f = open(output, "w") for ID in ID_list: print(ID, file=f) f.close() @@ -301,52 +368,57 @@ def main(argv=None): # Save calling command cfis.log_command(argv) if param.verbose: - cfis.log_command(argv, name='sys.stdout') - + cfis.log_command(argv, name="sys.stdout") ### Start main program ### if param.verbose: - print('Start of program {}'.format(os.path.basename(argv[0]))) + print("Start of program {}".format(os.path.basename(argv[0]))) ID_files = read_input_files(param.input_IDs, verbose=param.verbose) if param.final_only: - result_base_names = ['final_cat'] + result_base_names = ["final_cat"] elif param.mask_only: - result_base_names = ['pipeline_flag'] + result_base_names = ["pipeline_flag"] else: result_base_names = [] types = [ - 'final_cat', - 'pipeline_flag', - 'logs', - 'setools_mask', - 'setools_stat', - 'setools_plot', + "final_cat", + "pipeline_flag", + "logs", + "setools_mask", + "setools_stat", + "setools_plot", ] for t in types: result_base_names.append(t) - if param.psf == 'psfex': - result_base_names.append('psfex_interp_exp') - elif param.psf == 'mccd': - result_base_names.append('mccd_fit_val_runner') + if param.psf == "psfex": + result_base_names.append("psfex_interp_exp") + elif param.psf == "mccd": + result_base_names.append("mccd_fit_val_runner") n_complete = len(result_base_names) - n_found, n_IDs, IDs_not_avail = check_results(ID_files, param.input_path, result_base_names, n_complete, param.extension, verbose=param.verbose) + n_found, n_IDs, IDs_not_avail = check_results( + ID_files, + param.input_path, + result_base_names, + n_complete, + param.extension, + verbose=param.verbose, + ) output_summary(n_found, n_IDs, n_complete) if param.output_not_avail: output_IDs(IDs_not_avail, param.output_not_avail) - ### End main program if param.verbose: - print('End of program {}'.format(os.path.basename(argv[0]))) + print("End of program {}".format(os.path.basename(argv[0]))) return 0 diff --git a/scripts/python/canfar_run_analyse.py b/scripts/python/canfar_run_analyse.py index f43ef69bc..72da60474 100755 --- a/scripts/python/canfar_run_analyse.py +++ b/scripts/python/canfar_run_analyse.py @@ -19,8 +19,7 @@ class param: - """General class to store (default) variables - """ + """General class to store (default) variables""" def __init__(self, **kwds): self.__dict__.update(kwds) @@ -46,7 +45,7 @@ def params_default(): """ p_def = param( - input_job = 'job_tile.sh', + input_job="job_tile.sh", ) return p_def @@ -68,16 +67,33 @@ def parse_options(p_def): Command line string """ - usage = "%prog [OPTIONS]" + usage = "%prog [OPTIONS]" parser = OptionParser(usage=usage) # I/O - parser.add_option('-i', '--input_job', dest='input_job', type='string', default=p_def.input_job, - help='input job file, default=\'{}\''.format(p_def.input_job)) - parser.add_option('-o', '--output_fail', dest='output_fail', type='string', - help='output file for failed jobs, none if not given') + parser.add_option( + "-i", + "--input_job", + dest="input_job", + type="string", + default=p_def.input_job, + help="input job file, default='{}'".format(p_def.input_job), + ) + parser.add_option( + "-o", + "--output_fail", + dest="output_fail", + type="string", + help="output file for failed jobs, none if not given", + ) - parser.add_option('-v', '--verbose', dest='verbose', action='store_true', help='verbose output') + parser.add_option( + "-v", + "--verbose", + dest="verbose", + action="store_true", + help="verbose output", + ) options, args = parser.parse_args() @@ -159,61 +175,83 @@ def update_param(p_def, options): def get_status(tile_num): - base_name = 'log_canfar_sp_' - #base_name = 'log_sp_tile_' + base_name = "log_canfar_sp_" + # base_name = 'log_sp_tile_' - log_name = '{}{}.log'.format(base_name, tile_num) - out_name = '{}{}.out'.format(base_name, tile_num) - err_name = '{}{}.err'.format(base_name, tile_num) + log_name = "{}{}.log".format(base_name, tile_num) + out_name = "{}{}.out".format(base_name, tile_num) + err_name = "{}{}.err".format(base_name, tile_num) - status = res_unk, 'unknown status' + status = res_unk, "unknown status" if not os.path.exists(log_name): - status = res_wait, 'waiting for submission' + status = res_wait, "waiting for submission" else: if os.path.exists(out_name): final_cat_found = False with open(out_name) as out_file: for line in out_file: - m = re.match('Upload.*final_cat_*', line) + m = re.match("Upload.*final_cat_*", line) if m: final_cat_found = True - status = res_ok, 'successful upload of final_cat' + status = res_ok, "successful upload of final_cat" # TODO: check next line for upload success if final_cat_found == False: - status = res_unk, 'Failed before final_cat' + status = res_unk, "Failed before final_cat" # Look for known errors in error log file with open(err_name) as err_file: for line_err in err_file: - mm = re.search('NodeNotFound', line_err) + mm = re.search("NodeNotFound", line_err) if mm: - status = status + (fail_vos_not_found, 'vos file not found') + status = status + ( + fail_vos_not_found, + "vos file not found", + ) break - mm = re.search('Empty or corrupt FITS file', line_err) + mm = re.search("Empty or corrupt FITS file", line_err) if mm: - status = status + (fail_corrupt_fits, 'corrupt input FITS file') + status = status + ( + fail_corrupt_fits, + "corrupt input FITS file", + ) break - mm = re.search('ERROR:: HTTPSConnectionPool.*Max retries', line_err) + mm = re.search( + "ERROR:: HTTPSConnectionPool.*Max retries", line_err + ) if mm: - status = status + (fail_time_out, 'vos time out') + status = status + (fail_time_out, "vos time out") break - mm = re.search('ERROR:: __str__ returned non-string', line_err) + mm = re.search( + "ERROR:: __str__ returned non-string", line_err + ) if mm: - status = status + (fail_connection, 'Connection/HTTP error') + status = status + ( + fail_connection, + "Connection/HTTP error", + ) break - mm = re.search('ERROR:: 503 Server Error', line_err) + mm = re.search("ERROR:: 503 Server Error", line_err) if mm: - status = status + (fail_server, 'server connection error') + status = status + ( + fail_server, + "server connection error", + ) break - mm = re.search('ERROR:: \[Errno 14\] vos', line_err) + mm = re.search("ERROR:: \[Errno 14\] vos", line_err) if mm: - status = status + (fail_transient, 'TransientException') + status = status + ( + fail_transient, + "TransientException", + ) break - mm = re.search('Connection aborted', line_err) + mm = re.search("Connection aborted", line_err) if mm: - status = status + (fail_vos_no_resp, 'vos no response') + status = status + ( + fail_vos_no_resp, + "vos no response", + ) break if len(status) == 2: @@ -222,53 +260,59 @@ def get_status(tile_num): module_last = None with open(out_name) as out_file: for line in out_file: - mmm = re.search('\- Module: (.*)', line) + mmm = re.search("\- Module: (.*)", line) if mmm: module_last = mmm[1] - mmm = re.search('A total of (\d+) errors were recorded.', line) + mmm = re.search( + "A total of (\d+) errors were recorded.", line + ) if mmm and int(mmm[1]) != 0: - status = status + (fail_res_err_mod, '{} errors recorded, last module was {}'.format(mmm[1], module_last)) + status = status + ( + fail_res_err_mod, + "{} errors recorded, last module was {}".format( + mmm[1], module_last + ), + ) break if len(status) == 2: - status = status + (fail_unknown, 'unknown error') - + status = status + (fail_unknown, "unknown error") else: log_file = open(log_name) lines = log_file.readlines() log_file.close() for line in lines: - if re.match('.*aborted', line): - status = res_abort, 'job aborted by user' + if re.match(".*aborted", line): + status = res_abort, "job aborted by user" return status for line in lines: - if re.match('.*executing', line): - status = res_wait, 'job running' + if re.match(".*executing", line): + status = res_wait, "job running" return status - status = res_subm, 'job submitted, not started yet' + status = res_subm, "job submitted, not started yet" return status def output(status): - print('## Issues') + print("## Issues") n_issue = 0 for tile_num in sorted(status.keys()): if status[tile_num][0] == res_noout or status[tile_num][0] == res_unk: - print(' ', tile_num, status[tile_num]) + print(" ", tile_num, status[tile_num]) n_issue = n_issue + 1 if n_issue == 0: - print(' none') + print(" none") hist = Counter(status.values()) - print('## Summary') - print('# Nb: status (code)') + print("## Summary") + print("# Nb: status (code)") for s in hist: - print('{:6d}: {} ({})'.format(hist[s], s[1], int(s[0])), end='') + print("{:6d}: {} ({})".format(hist[s], s[1], int(s[0])), end="") if len(s) == 4: - print('; {} ({})'.format(s[3], int(s[2])), end='') + print("; {} ({})".format(s[3], int(s[2])), end="") print() @@ -276,11 +320,14 @@ def output_failed(output_fail, status): if output_fail: - with open(output_fail, 'w') as f_out: + with open(output_fail, "w") as f_out: for tile_num in status.keys(): - if status[tile_num][0] == res_noout or status[tile_num][0] == res_unk: + if ( + status[tile_num][0] == res_noout + or status[tile_num][0] == res_unk + ): print(tile_num, file=f_out) - + def main(argv=None): @@ -295,7 +342,6 @@ def main(argv=None): param = update_param(p_def, options) - ### Start main program ### job_tile_path = param.input_job @@ -303,7 +349,7 @@ def main(argv=None): status = {} with open(job_tile_path) as job_file: for line in job_file: - m = re.match('(\d{3}\.\d{3})', line) + m = re.match("(\d{3}\.\d{3})", line) if m: tile_num = m[0] diff --git a/scripts/python/cfis_field_select.py b/scripts/python/cfis_field_select.py index efe961ca7..08f79d804 100755 --- a/scripts/python/cfis_field_select.py +++ b/scripts/python/cfis_field_select.py @@ -51,17 +51,23 @@ def get_images_used_in_tiles(images, band, image_type): try: hdu = fits.open(img.name) - hist = hdu[0].header['HISTORY'] + hist = hdu[0].header["HISTORY"] except: - raise cfis.CfisError('Error while reading tile FITS file {}'.format(img.name)) + raise cfis.CfisError( + "Error while reading tile FITS file {}".format(img.name) + ) for h in hist: - temp = h.split(' ') + temp = h.split(" ") - pattern = r'(.*)p\.{1}.*' + pattern = r"(.*)p\.{1}.*" m = re.search(pattern, temp[3]) if not m: - raise cfis.CfisError('re match \'{}\' failed for filename \'{}\''.format(pattern, temp[3])) + raise cfis.CfisError( + "re match '{}' failed for filename '{}'".format( + pattern, temp[3] + ) + ) exp_name = m.group(1) exp_list.append(exp_name) @@ -71,7 +77,9 @@ def get_images_used_in_tiles(images, band, image_type): return exp_list_uniq -def get_coord_at_image(number, band, image_type, images, no_cuts=False, verbose=False): +def get_coord_at_image( + number, band, image_type, images, no_cuts=False, verbose=False +): """Return coordinate of image with given number. Parameters @@ -97,18 +105,22 @@ def get_coord_at_image(number, band, image_type, images, no_cuts=False, verbose= img_found = None - if image_type == 'tile': + if image_type == "tile": nix, niy = cfis.my_string_split(number, num=2, stop=True) tile_name = cfis.get_tile_name(nix, niy, band) if verbose == True: - print('Looking for coordinates for tile with numbers ({},{})'.format(nix, niy)) + print( + "Looking for coordinates for tile with numbers ({},{})".format( + nix, niy + ) + ) - ra, dec = cfis.get_tile_coord_from_nixy(nix, niy) + ra, dec = cfis.get_tile_coord_from_nixy(nix, niy) img_found = cfis.image(tile_name, ra, dec) - elif image_type == 'exposure': - ra = [] + elif image_type == "exposure": + ra = [] dec = [] for img in images: m = re.findall(number, img.name) @@ -117,18 +129,19 @@ def get_coord_at_image(number, band, image_type, images, no_cuts=False, verbose= img_found = img else: - raise cfis.CfisError('Image type \'{}\' not implemented yet'.format(image_type)) + raise cfis.CfisError( + "Image type '{}' not implemented yet".format(image_type) + ) return img_found - def test_tile_number(): - #ra = Angle(180, unit=units.deg) - #dec = Angle(35, unit=units.deg) - ra = Angle('10:44:00.0 hours') - dec = Angle('30:00:00 degrees') + # ra = Angle(180, unit=units.deg) + # dec = Angle(35, unit=units.deg) + ra = Angle("10:44:00.0 hours") + dec = Angle("30:00:00 degrees") print(ra, dec) print(ra.deg, dec.deg) @@ -153,11 +166,11 @@ def params_default(): """ p_def = cfis.param( - input = '.', - input_format = 'full', - mode = 'c', - band = 'r', - image_type = 'tile', + input=".", + input_format="full", + mode="c", + band="r", + image_type="tile", ) return p_def @@ -179,53 +192,147 @@ def parse_options(p_def): Command line string """ - usage = "%prog [OPTIONS]" + usage = "%prog [OPTIONS]" parser = OptionParser(usage=usage) # I/O - parser.add_option('-i', '--input', dest='input', type='string', default=p_def.input, - help='input image list, can be ascii file or directory path') - parser.add_option('-c', '--column', dest='col', type='string', default=None, - help='column name if input is file, default=file has only one column)') - parser.add_option('', '--input_format', dest='input_format', type='string', - default=p_def.input_format, - help='input format, one of \'full\', \'ID_only\', default=\'{}\''.format(p_def.input_format)) - parser.add_option('-o', '--outbase', dest='outbase', type='string', default=None, - help='output file name base (\'.txt\' is added), default=stdout') - parser.add_option('', '--plot', dest='plot', action='store_true', - help='create plots') - parser.add_option('', '--out_base_name', dest='out_base_name', action='store_true', - help='output base names, not entire path if input is directory') - parser.add_option('', '--out_name_only', dest='out_name_only', action='store_true', - help='output only file names, not coordinates and metainfo') - parser.add_option('', '--out_ID_only', dest='out_ID_only', action='store_true', - help='output only file IDs, not full file names') - parser.add_option('', '--interactive', dest='interactive', action='store_true', - help='interactive mode (showing plots, recommended for call from jupyer notebook)') - parser.add_option('-s', '--short', dest='short', action='store_true', help='short output') + parser.add_option( + "-i", + "--input", + dest="input", + type="string", + default=p_def.input, + help="input image list, can be ascii file or directory path", + ) + parser.add_option( + "-c", + "--column", + dest="col", + type="string", + default=None, + help="column name if input is file, default=file has only one column)", + ) + parser.add_option( + "", + "--input_format", + dest="input_format", + type="string", + default=p_def.input_format, + help="input format, one of 'full', 'ID_only', default='{}'".format( + p_def.input_format + ), + ) + parser.add_option( + "-o", + "--outbase", + dest="outbase", + type="string", + default=None, + help="output file name base ('.txt' is added), default=stdout", + ) + parser.add_option( + "", "--plot", dest="plot", action="store_true", help="create plots" + ) + parser.add_option( + "", + "--out_base_name", + dest="out_base_name", + action="store_true", + help="output base names, not entire path if input is directory", + ) + parser.add_option( + "", + "--out_name_only", + dest="out_name_only", + action="store_true", + help="output only file names, not coordinates and metainfo", + ) + parser.add_option( + "", + "--out_ID_only", + dest="out_ID_only", + action="store_true", + help="output only file IDs, not full file names", + ) + parser.add_option( + "", + "--interactive", + dest="interactive", + action="store_true", + help="interactive mode (showing plots, recommended for call from jupyer notebook)", + ) + parser.add_option( + "-s", "--short", dest="short", action="store_true", help="short output" + ) # Job control - parser.add_option('', '--no_cuts', dest='no_cuts', action='store_true', - help='output all exposures, no cuts (default: cut short and invalid exposures)') + parser.add_option( + "", + "--no_cuts", + dest="no_cuts", + action="store_true", + help="output all exposures, no cuts (default: cut short and invalid exposures)", + ) # Field and image options - parser.add_option('-b', '--band', dest='band', type='string', default=p_def.band, - help='band, one of \'r\' (default)|\'u\'') - parser.add_option('-t', '--type', dest='image_type', type='string', default=p_def.image_type, - help='image type, one of \'tile\' (default)|\'weight\'|\'weight.fz\'|\'exposure\'|\'exposure_weight\'' - '|\'exposure_weight.fz\'|\'exposure_flag\'|\'exposure_flag.fz\'|\'cat\'') - - parser.add_option('', '--coord', dest='coord', type='string', default=None, - help='(white-space or \'_\' separated) string of input coordinates, as astropy.coordinates.Angle') - parser.add_option('', '--number', dest='number', type='string', default=None, - help='input image number') - parser.add_option('', '--area', dest='area', type='string', default=None, - help='area corner coordinates ra0_dec0_ra1_dec1') - parser.add_option('', '--tile', dest='tile', action='store_true', - help='return exposures used in input tile(s)') + parser.add_option( + "-b", + "--band", + dest="band", + type="string", + default=p_def.band, + help="band, one of 'r' (default)|'u'", + ) + parser.add_option( + "-t", + "--type", + dest="image_type", + type="string", + default=p_def.image_type, + help="image type, one of 'tile' (default)|'weight'|'weight.fz'|'exposure'|'exposure_weight'" + "|'exposure_weight.fz'|'exposure_flag'|'exposure_flag.fz'|'cat'", + ) + + parser.add_option( + "", + "--coord", + dest="coord", + type="string", + default=None, + help="(white-space or '_' separated) string of input coordinates, as astropy.coordinates.Angle", + ) + parser.add_option( + "", + "--number", + dest="number", + type="string", + default=None, + help="input image number", + ) + parser.add_option( + "", + "--area", + dest="area", + type="string", + default=None, + help="area corner coordinates ra0_dec0_ra1_dec1", + ) + parser.add_option( + "", + "--tile", + dest="tile", + action="store_true", + help="return exposures used in input tile(s)", + ) # Monitoring - parser.add_option('-v', '--verbose', dest='verbose', action='store_true', help='verbose output') + parser.add_option( + "-v", + "--verbose", + dest="verbose", + action="store_true", + help="verbose output", + ) options, args = parser.parse_args() @@ -246,34 +353,51 @@ def check_options(options): Result of option check. False if invalid option value. """ - if int(options.number != None) + int(options.coord != None) \ - + int(options.area != None) + int(options.tile != None) > 1: - raise cfis.CfisError('Only one option out of \'--number\', \'--coord\', \'--area\', \'--tile\' can be given') - - if options.image_type != 'exposure' and options.no_cuts == True: - raise cfis.CfisError('option \'--no_cuts\' only possible for image_type=exposure') - - if options.input in ['{}.txt'.format(options.outbase), '{}.pdf',format(options.outbase)]: - raise cfis.CfisError('Output base same as input, latter will be overwritten!') - - if options.input_format not in ['full', 'ID_only']: - raise cfis.CfisError('input_format needs to be one of \'fulll\', \'ID_only\'') - - see_help = 'See option \'-h\' for help.' + if ( + int(options.number != None) + + int(options.coord != None) + + int(options.area != None) + + int(options.tile != None) + > 1 + ): + raise cfis.CfisError( + "Only one option out of '--number', '--coord', '--area', '--tile' can be given" + ) + + if options.image_type != "exposure" and options.no_cuts == True: + raise cfis.CfisError( + "option '--no_cuts' only possible for image_type=exposure" + ) + + if options.input in [ + "{}.txt".format(options.outbase), + "{}.pdf", + format(options.outbase), + ]: + raise cfis.CfisError( + "Output base same as input, latter will be overwritten!" + ) + + if options.input_format not in ["full", "ID_only"]: + raise cfis.CfisError( + "input_format needs to be one of 'fulll', 'ID_only'" + ) + + see_help = "See option '-h' for help." return True def update_param(p_def, options): """Return default parameter, updated and complemented according to options. - + Parameters ---------- p_def: class param parameter values optiosn: tuple command line options - + Returns ------- param: class param @@ -294,7 +418,7 @@ def update_param(p_def, options): # Do extra stuff if necessary if param.outbase is not None: - param.fout = open('{}.txt'.format(param.outbase), 'w') + param.fout = open("{}.txt".format(param.outbase), "w") else: param.fout = sys.stdout @@ -323,70 +447,117 @@ def run_mode(images, param): if param.coord: # Image number search: Return name of image(s) covering input coordinate - images_found = cfis.find_image_at_coord(images, param.coord, param.band, param.image_type, - no_cuts=param.no_cuts, input_format=param.input_format, - verbose=param.verbose) + images_found = cfis.find_image_at_coord( + images, + param.coord, + param.band, + param.image_type, + no_cuts=param.no_cuts, + input_format=param.input_format, + verbose=param.verbose, + ) if len(images_found) > 0: if not param.short: images_found[0].print_header(file=param.fout) for img in images_found: - img.print(file=param.fout, base_name=param.out_base_name, name_only=param.out_name_only, ID_only=param.out_ID_only) + img.print( + file=param.fout, + base_name=param.out_base_name, + name_only=param.out_name_only, + ID_only=param.out_ID_only, + ) ex = 0 elif param.number: # Coordinate search: Return coordinate covered by image with input number/file name - img_found = get_coord_at_image(param.number, param.band, param.image_type, images, no_cuts=param.no_cuts, verbose=param.verbose) + img_found = get_coord_at_image( + param.number, + param.band, + param.image_type, + images, + no_cuts=param.no_cuts, + verbose=param.verbose, + ) if img_found != None: if not param.short: img_found.print_header(file=param.fout) - img_found.print(file=param.fout, base_name=param.out_base_name, name_only=param.out_name_only, ID_only=param.out_ID_only) + img_found.print( + file=param.fout, + base_name=param.out_base_name, + name_only=param.out_name_only, + ID_only=param.out_ID_only, + ) ex = 0 else: if param.verbose: - print('No image found, try with --no_cuts', file=sys.stderr) + print("No image found, try with --no_cuts", file=sys.stderr) elif param.area: # Area search: Return images within input area angles = cfis.get_Angle_arr(param.area, num=4, verbose=param.verbose) - images_found = cfis.find_images_in_area(images, angles, param.band, param.image_type, no_cuts=param.no_cuts, verbose=param.verbose) + images_found = cfis.find_images_in_area( + images, + angles, + param.band, + param.image_type, + no_cuts=param.no_cuts, + verbose=param.verbose, + ) if len(images_found) > 0: if not param.short: images_found[0].print_header(file=param.fout) for img in images_found: - img.print(file=param.fout, base_name=param.out_base_name, name_only=param.out_name_only, ID_only=param.out_ID_only) + img.print( + file=param.fout, + base_name=param.out_base_name, + name_only=param.out_name_only, + ID_only=param.out_ID_only, + ) if param.plot == True: if param.verbose == True: - print('Creating plots') - ra_c, dec_c, radius = cfis.plot_area(images_found, angles, param.image_type, param.outbase, param.interactive, show_numbers=True) + print("Creating plots") + ra_c, dec_c, radius = cfis.plot_area( + images_found, + angles, + param.image_type, + param.outbase, + param.interactive, + show_numbers=True, + ) if param.verbose: - print('RA_c[deg] DEC_c[deg] radius[argmin] = {:.2f} {:.2f} {:.2f}'.format(ra_c.deg, dec_c.deg, radius*60)) + print( + "RA_c[deg] DEC_c[deg] radius[argmin] = {:.2f} {:.2f} {:.2f}".format( + ra_c.deg, dec_c.deg, radius * 60 + ) + ) ex = 0 elif param.tile: # Search exposures used in input tile(s) - images_found = get_images_used_in_tiles(images, param.band, param.image_type) + images_found = get_images_used_in_tiles( + images, param.band, param.image_type + ) if len(images_found) > 0: for img in images_found: print(img, file=param.fout) ex = 0 - else: - raise cfis.CfisError('One of \'--coord\', \'--number\', ' - '\'--area\', \'--tile\' needs to be specified') + raise cfis.CfisError( + "One of '--coord', '--number', " + "'--area', '--tile' needs to be specified" + ) return ex def main(argv=None): - """Main program. - """ + """Main program.""" - # Set default parameters p_def = params_default() @@ -399,54 +570,57 @@ def main(argv=None): param = update_param(p_def, options) - # Save calling command cfis.log_command(argv) if param.verbose: - cfis.log_command(argv, name='sys.stdout') - + cfis.log_command(argv, name="sys.stdout") if param.verbose and not param.short: - print('Start of program {}'.format(os.path.basename(argv[0]))) - + print("Start of program {}".format(os.path.basename(argv[0]))) ### Start main program ### if param.tile: # For search of exposures in tiles, image list from directory needs to be tiles - image_type = 'tile' + image_type = "tile" else: image_type = param.image_type - images = cfis.get_image_list(param.input, param.band, image_type, col=param.col, - input_format=param.input_format, verbose=param.verbose) - + images = cfis.get_image_list( + param.input, + param.band, + image_type, + col=param.col, + input_format=param.input_format, + verbose=param.verbose, + ) # Check wether images have been found, if necessary if param.number: if images is None: - raise cfis.CfisError('Input list file \'{}\' not found, neither ' - 'existing file nor directory'.format(param.input)) + raise cfis.CfisError( + "Input list file '{}' not found, neither " + "existing file nor directory".format(param.input) + ) if len(images) == 0: - raise cfis.CfisError('No corresponding image files found in input \'{}\''.format(param.input)) - + raise cfis.CfisError( + "No corresponding image files found in input '{}'".format( + param.input + ) + ) # Run ex = run_mode(images, param) - if param.outbase is not None: param.fout.close() - ### End main program if param.verbose and not param.short: - print('End of program {}'.format(os.path.basename(argv[0]))) + print("End of program {}".format(os.path.basename(argv[0]))) return ex - if __name__ == "__main__": sys.exit(main(sys.argv)) - diff --git a/scripts/python/convert_psf_pix2world.py b/scripts/python/convert_psf_pix2world.py index 9a771dc7f..bfe136236 100755 --- a/scripts/python/convert_psf_pix2world.py +++ b/scripts/python/convert_psf_pix2world.py @@ -17,11 +17,31 @@ def transform_shape(mom_list, jac): + """Transform Shape. + + Transform shape (ellipticity and size) using a Jacobian. + + Parameters + ---------- + mom_list : list + input moment measurements; each list element contains + first and second ellipticity component and size + jac : galsim.JacobianWCS + Jacobian transformation matrix information + + Returns + ------- + list + transformed shape parameters, which are + first and second ellipticity component and size + + """ scale, shear, theta, flip = jac.getDecomposition() sig_tmp = mom_list[2] * scale shape = galsim.Shear(g1=mom_list[0], g2=mom_list[1]) if flip: + # The following output is not observed print("FLIP!") shape = galsim.Shear(g1=-shape.g1, g2=shape.g2) shape = galsim.Shear(g=shape.g, beta=shape.beta + theta) @@ -30,6 +50,304 @@ def transform_shape(mom_list, jac): return shape.g1, shape.g2, sig_tmp +class Loc2Glob(object): + r"""Change from local to global coordinates. + + Class to pass from local coordinates to global coordinates under + CFIS (CFHT) MegaCam instrument. The geometrical informcation of the + instrument is encoded in this function. + + Parameters + ---------- + x_gap : int + Gap between the CCDs along the horizontal direction; + default is ``70`` (MegaCam value) + y_gap : int + Gap between the CCDs along the vertical direction; + Default is ``425`` (MegaCam value) + x_npix : int + Number of pixels per CCD along the horizontal direction; + default is ``2048`` (MegaCam value) + y_npix : int + Number of pixels per CCD along the vertical direction; + default to ``4612`` (MegaCam value) + ccd_tot : int + Total number of CCDs; + default to ``40`` (MegaCam value) + + Notes + ----- + This is the geometry of MegaCam. Watch out with the conventions ba,ab that means where + is the local coordinate system origin for each CCD. + For more info check out MegaCam's instrument webpage. + + Examples + -------- + 'COMMENT (North on top, East to the left)', + 'COMMENT --------------------------', + 'COMMENT ba ba ba ba ba ba ba ba ba', + 'COMMENT 00 01 02 03 04 05 06 07 08', + 'COMMENT --------------------------------', + 'COMMENT ba ba ba ba ba ba ba ba ba ba ba', + 'COMMENT 36 09 10 11 12 13 14 15 16 17 37', + 'COMMENT --------------*-----------------', + 'COMMENT 38 18 19 20 21 22 23 24 25 26 39', + 'COMMENT ab ab ab ab ab ab ab ab ab ab ab', + 'COMMENT --------------------------------', + 'COMMENT 27 28 29 30 31 32 33 34 35', + 'COMMENT ab ab ab ab ab ab ab ab ab', + 'COMMENT __________________________' + """ + + def __init__( + self, x_gap=70, y_gap=425, x_npix=2048, y_npix=4612, ccd_tot=40 + ): + r"""Initialize with instrument geometry.""" + self.x_gap = x_gap + self.y_gap = y_gap + self.x_npix = x_npix + self.y_npix = y_npix + self.ccd_tot = ccd_tot + + def loc2glob_img_coord(self, ccd_n, x_coor, y_coor): + """loc2glob Img Coord. + + Go from the local to the global img (pixel) coordinate system. + + Global system with (0,0) in the intersection of ccds [12,13,21,22]. + + Parameters + ---------- + ccd_n: int + CCD number of the considered positions + x_coor: float + Local coordinate system hotizontal value + y_coor: float + Local coordinate system vertical value + + Returns + ------- + glob_x_coor: float + Horizontal position in global coordinate system + glob_y_coor: float + Vertical position in global coordinate system + + """ + # Flip axes + x_coor, y_coor = self.flip_coord(ccd_n, x_coor, y_coor) + + # Calculate the shift + x_shift, y_shift = self.shift_coord(ccd_n) + + # Return new coordinates + return x_coor + x_shift, y_coor + y_shift + + def flip_coord(self, ccd_n, x_coor, y_coor): + r"""Change of coordinate convention. + + So that all of them are coherent on the global coordinate system. + So that the origin is on the south-west corner. + Positive: South to North ; West to East. + """ + if ccd_n < 18 or ccd_n in [36, 37]: + x_coor = self.x_npix - x_coor + 1 + y_coor = self.y_npix - y_coor + 1 + else: + pass + + return x_coor, y_coor + + def x_coord_range(self): + r"""Return range of the x coordinate.""" + max_x = self.x_npix * 6 + self.x_gap * 5 + min_x = self.x_npix * (-5) + self.x_gap * (-5) + return min_x, max_x + + def y_coord_range(self): + r"""Return range of the y coordinate.""" + max_y = self.y_npix * 2 + self.y_gap * 1 + min_y = self.y_npix * (-2) + self.y_gap * (-2) + return min_y, max_y + + def shift_coord(self, ccd_n): + r"""Provide the shifting. + + It is needed to go from the local coordinate + system origin to the global coordinate system origin. + """ + if ccd_n < 9: + # first row + x_shift = (ccd_n - 4) * (self.x_gap + self.x_npix) + y_shift = self.y_gap + self.y_npix + return x_shift, y_shift + + elif ccd_n < 18: + # second row, non-ears + x_shift = (ccd_n - 13) * (self.x_gap + self.x_npix) + y_shift = 0.0 + return x_shift, y_shift + + elif ccd_n < 27: + # third row non-ears + x_shift = (ccd_n - 22) * (self.x_gap + self.x_npix) + y_shift = -1.0 * (self.y_gap + self.y_npix) + return x_shift, y_shift + + elif ccd_n < 36: + # fourth row + x_shift = (ccd_n - 31) * (self.x_gap + self.x_npix) + y_shift = -2.0 * (self.y_gap + self.y_npix) + return x_shift, y_shift + + elif ccd_n < 37: + # ccd= 36 ears, second row + x_shift = (-5.0) * (self.x_gap + self.x_npix) + y_shift = 0.0 + return x_shift, y_shift + + elif ccd_n < 38: + # ccd= 37 ears, second row + x_shift = 5.0 * (self.x_gap + self.x_npix) + y_shift = 0.0 + return x_shift, y_shift + + elif ccd_n < 39: + # ccd= 38 ears, third row + x_shift = (-5.0) * (self.x_gap + self.x_npix) + y_shift = -1.0 * (self.y_gap + self.y_npix) + return x_shift, y_shift + + elif ccd_n < 40: + # ccd= 39 ears, third row + x_shift = 5.0 * (self.x_gap + self.x_npix) + y_shift = -1.0 * (self.y_gap + self.y_npix) + return x_shift, y_shift + + +class Glob2CCD(object): + r"""Get the CCD ID number from the global coordinate position. + + The Loc2Glob() object as input is the one that defines the instrument's + geometry. + + Parameters + ---------- + loc2glob: Loc2Glob object + Object with the desired focal plane geometry. + with_gaps: bool + If add the gaps to the CCD area. + """ + + def __init__(self, loc2glob, with_gaps=True): + # Save loc2glob object + self.loc2glob = loc2glob + self.with_gaps = with_gaps + self.ccd_list = np.arange(self.loc2glob.ccd_tot) + # Init edges defininf the CCDs + self.edge_x_list, self.edge_y_list = self.build_all_edges() + + def build_all_edges(self): + """Build the edges for all the CCDs in the focal plane.""" + edge_xy_list = [] + for idx in (0, 1): + edge_list = np.array( + [self.build_edge(ccd_n)[idx] for ccd_n in self.ccd_list] + ) + edge_xy_list.append(edge_list) + + return edge_xy_list + + def build_edge(self, ccd_n): + """Build the edges of the `ccd_n` in global coordinates.""" + if self.with_gaps: + corners = np.array( + [ + [-self.loc2glob.x_gap / 2, -self.loc2glob.y_gap / 2], + [ + self.loc2glob.x_npix + self.loc2glob.x_gap / 2, + -self.loc2glob.y_gap / 2, + ], + [ + -self.loc2glob.x_gap / 2, + self.loc2glob.y_npix + self.loc2glob.y_gap / 2, + ], + [ + self.loc2glob.x_npix + self.loc2glob.x_gap / 2, + self.loc2glob.y_npix + self.loc2glob.y_gap / 2, + ], + ] + ) + else: + corners = np.array( + [ + [0, 0], + [self.loc2glob.x_npix, 0], + [0, self.loc2glob.y_npix], + [self.loc2glob.x_npix, self.loc2glob.y_npix], + ] + ) + + glob_corners = np.array( + [ + self.loc2glob.loc2glob_img_coord(ccd_n, pos[0], pos[1]) + for pos in corners + ] + ) + + edge_xy = [] + for idx in (0, 1): + edge = np.array( + [np.min(glob_corners[:, idx]), np.max(glob_corners[:, idx])] + ) + edge_xy.append(edge) + + return edge_xy + + def is_inside(self, x, y, edge_x, edge_y): + """Is the position inside the edges. + + Return True if the position is within the rectangle + defined by the edges. + + Parameters + ---------- + x: float + Horizontal position in global coordinate system. + y: float + Vertical position in global coordinate system. + edge_x: np.ndarray + Edge defined as `np.array([min_x, max_x])`. + edge_y: np.ndarray + Edge defined as `np.array([min_y, max_y])`. + """ + if ( + (x > edge_x[0]) + and (x < edge_x[1]) + and (y > edge_y[0]) + and (y < edge_y[1]) + ): + return True + else: + return False + + def get_ccd_n(self, x, y): + """Returns the CCD number from the position `(x, y)`. + + Returns `None` if the position is not found. + """ + bool_list = np.array( + [ + self.is_inside(x, y, edge_x, edge_y) + for edge_x, edge_y in zip(self.edge_x_list, self.edge_y_list) + ] + ) + + try: + return self.ccd_list[bool_list][0] + except Exception: + return None + + class Convert(object): def __init__(self): @@ -61,34 +379,31 @@ def params_default(self): "input_base_dir": ".", "output_base_dir": ".", "mode": "merge", - "sub_dir_pattern" : "run_sp_exp_202", + "psf": "psfex", "file_pattern_psfint": "validation_psf", - "sub_dir_psfint": "psfex_interp_runner/output/", } self._short_options = { "input_base_dir": "-i", "mode": "-m", - "sub_dir_pattern" : "-s", + "psf": "-p", } self._types = {} self._help_strings = { - "input_base_dir" : ( + "input_base_dir": ( "input base dir, runs are expected in" + " /P/output;" " default is {}" ), - "sub_dir_pattern" : ( - "First subdir name of PSF interpolation, default is {}" + "mode": ( + "run mode, allowed are 'merge', 'test'; default is" + " '{}'" ), - "mode" : ( - "run mode, allowed are 'create', 'merge', 'test'; default is" - + " '{}':" - ) + "psf": "PSF model, allowed are 'psfex' and 'mccd'; default is {}", } + # Output column names with types self._dt = [ ("X", float), ("Y", float), @@ -105,13 +420,41 @@ def params_default(self): ("CCD_NB", int), ] + # Extra columns for MCCD:737 + self._dt_mccd = self._dt.copy() + self._dt_mccd.append(("GLOB_X", float)) + self._dt_mccd.append(("GLOB_Y", float)) + + def update_params(self): + """Update Params. + + Update parameters. + + """ + if self._params["psf"] == "psfex": + self._params["sub_dir_pattern"] = "run_sp_exp_202" + self._params["sub_dir_psfint"] = "psfex_interp_runner" + elif self._params["psf"] == "mccd": + self._params["sub_dir_pattern"] = "run_sp_exp_SxSePsf_202" + self._params["sub_dir_psfint"] = "mccd_fit_val_runner" + self._params["sub_dir_setools"] = "setools_runner/output/mask" + else: + raise ValueError(f"Invalid PSF model {self._params['psf']}") + self._params["sub_dir_psfint"] = ( + f"{self._params['sub_dir_psfint']}/output" + ) + def run(self): + """Run. + + Main processing function. + """ if self._params["mode"] == "test": patch_nums = ["3", "4"] else: - n_patch = 7 - #patch_nums = [idx for idx in np.arange(n_patch) + 1] + n_patch = 7 + # patch_nums = [idx for idx in np.arange(n_patch) + 1] patch_nums = [1, 3, 4] do_parallel = True @@ -145,28 +488,29 @@ def run(self): # Loop over exposure runs if not do_parallel: for idx_exp, exp_run_dir in tqdm( - enumerate(exp_run_dirs), total=n_exp_runs, - disable=self._params["verbose"], + enumerate(exp_run_dirs), + total=n_exp_runs, + disable=self._params["verbose"], ): - self.transform_exposure( + self.transform_exposures( output_dir, patch, idx_exp, exp_run_dir ) else: res = Parallel(n_jobs=-1, backend="loky")( - delayed(self.transform_exposure)( + delayed(self.transform_exposures)( output_dir, patch, idx_exp, exp_run_dir ) for idx_exp, exp_run_dir in tqdm( - enumerate(exp_run_dirs), - total=n_exp_runs, - disable=self._params["verbose"], + enumerate(exp_run_dirs), + total=n_exp_runs, + disable=self._params["verbose"], ) ) - def transform_exposure(self, output_dir, patch, idx, exp_run_dir): + def transform_exposures(self, output_dir, patch, idx, exp_run_dir): """Transform exposures. - Transform shapes for exposures for a given run (input exp run dir). + Transform shapes for exposure for a given run (input exp run dir). """ output_path = ( @@ -174,17 +518,17 @@ def transform_exposure(self, output_dir, patch, idx, exp_run_dir): + f"-{patch}-{idx}.fits" ) if os.path.exists(output_path): - print(f"Skipping transform_exposure, file {output_path} exists") + print(f"Skipping transform_exposures, file {output_path} exists") return - mccd_dir = f"{exp_run_dir}/{self._params['sub_dir_psfint']}" + psf_dir = f"{exp_run_dir}/{self._params['sub_dir_psfint']}" try: - all_files = os.listdir(mccd_dir) + all_files = os.listdir(psf_dir) if self._params["verbose"]: - print(f"Found {len(all_files)} file(s) in {mccd_dir}") + print(f"Found {len(all_files)} file(s) in {psf_dir}") except Exception: if self._params["verbose"]: - print(f"Found zero PSFEx files in {mccd_dir}, skipping") + print(f"Found zero PSFEx files in {psf_dir}, skipping") return cat_list = [] @@ -193,103 +537,245 @@ def transform_exposure(self, output_dir, patch, idx, exp_run_dir): continue tmp = re.findall(r"\d+", file_name) - exp_name, ccd_id = int(tmp[0]), int(tmp[1]) + + if self._params["psf"] == "psfex": + exp_name, ccd_id = int(tmp[0]), int(tmp[1]) + elif self._params["psf"] == "mccd": + exp_name = int(tmp[0]) + ccd_id = -1 + if self._params["verbose"]: print("Match found ", exp_name, ccd_id) - psfex_file_path = f"{mccd_dir}/{file_name}" + psf_file_path = f"{psf_dir}/{file_name}" try: - psf_file = fits.open(psfex_file_path, memmap=False) - psfex_file = psf_file[2].data - header_file = psf_file[1].data + if self._params["psf"] == "psfex": + psf_file_hdus = fits.open(psf_file_path, memmap=False) + psf_file = psf_file_hdus[2].data + header_file = psf_file_hdus[1].data + psf_file_hdus.close() + mod = "RA" + else: + psf_file = fits.getdata(psf_file_path, 1, memmap=True) + mod = "RA_LIST" except Exception: continue - new_e1_psf = np.zeros_like(psfex_file["RA"]) - new_e2_psf = np.zeros_like(psfex_file["RA"]) - new_sig_psf = np.zeros_like(psfex_file["RA"]) - new_e1_star = np.zeros_like(psfex_file["RA"]) - new_e2_star = np.zeros_like(psfex_file["RA"]) - new_sig_star = np.zeros_like(psfex_file["RA"]) + new_e1_psf = np.zeros_like(psf_file[mod]) + new_e2_psf = np.zeros_like(psf_file[mod]) + new_sig_psf = np.zeros_like(psf_file[mod]) + new_e1_star = np.zeros_like(psf_file[mod]) + new_e2_star = np.zeros_like(psf_file[mod]) + new_sig_star = np.zeros_like(psf_file[mod]) - header = fits.Header.fromstring( - "\n".join(header_file[0][0]), sep="\n" - ) - wcs = galsim.AstropyWCS(header=header) - - k = 0 - for ind, obj in enumerate(psfex_file): - try: - # jac = wcs.jacobian(world_pos=galsim.CelestialCoord( - # ra=obj["RA"]*galsim.degrees, - # dec=obj["DEC"]*galsim.degrees - # )) - jac = wcs.jacobian( - image_pos=galsim.PositionD( - obj["X"], - obj["Y"], + if self._params["psf"] == "psfex": + header = fits.Header.fromstring( + "\n".join(header_file[0][0]), sep="\n" + ) + wcs = galsim.AstropyWCS(header=header) + + k = 0 + for ind, obj in enumerate(psf_file): + try: + # jac = wcs.jacobian(world_pos=galsim.CelestialCoord( + # ra=obj["RA"]*galsim.degrees, + # dec=obj["DEC"]*galsim.degrees + # )) + jac = wcs.jacobian( + image_pos=galsim.PositionD( + obj["X"], + obj["Y"], + ) ) + except Exception: + continue + g1_psf_tmp, g2_psf_tmp, sig_psf_tmp = transform_shape( + [ + obj["E1_PSF_HSM"], + obj["E2_PSF_HSM"], + obj["SIGMA_PSF_HSM"], + ], + jac, ) - except Exception: - continue - g1_psf_tmp, g2_psf_tmp, sig_psf_tmp = transform_shape( - [ - obj["E1_PSF_HSM"], - obj["E2_PSF_HSM"], - obj["SIGMA_PSF_HSM"], - ], - jac, - ) - new_e1_psf[ind] = g1_psf_tmp - new_e2_psf[ind] = g2_psf_tmp - new_sig_psf[ind] = sig_psf_tmp + new_e1_psf[ind] = g1_psf_tmp + new_e2_psf[ind] = g2_psf_tmp + new_sig_psf[ind] = sig_psf_tmp + + g1_star_tmp, g2_star_tmp, sig_star_tmp = transform_shape( + [ + obj["E1_STAR_HSM"], + obj["E2_STAR_HSM"], + obj["SIGMA_STAR_HSM"], + ], + jac, + ) + new_e1_star[ind] = g1_star_tmp + new_e2_star[ind] = g2_star_tmp + new_sig_star[ind] = sig_star_tmp + k += 1 + + exp_cat = np.array( + list( + map( + tuple, + np.array( + [ + psf_file["X"], + psf_file["Y"], + psf_file["RA"], + psf_file["DEC"], + new_e1_psf, + new_e2_psf, + new_sig_psf, + psf_file["FLAG_PSF_HSM"], + new_e1_star, + new_e2_star, + new_sig_star, + psf_file["FLAG_STAR_HSM"], + np.ones_like(psf_file["RA"], dtype=int) + * ccd_id, + ] + ).T.tolist(), + ) + ), + dtype=self._dt, + ) + cat_list.append(exp_cat) - g1_star_tmp, g2_star_tmp, sig_star_tmp = transform_shape( + else: + l2g = Loc2Glob() + g2c = Glob2CCD(l2g) + new_ccd_id = np.array( [ - obj["E1_STAR_HSM"], - obj["E2_STAR_HSM"], - obj["SIGMA_STAR_HSM"], - ], - jac, + int( + g2c.get_ccd_n( + psf_file["GLOB_POSITION_IMG_LIST"][ii, 0], + psf_file["GLOB_POSITION_IMG_LIST"][ii, 1], + ) + ) + for ii in range(len(psf_file)) + ] ) - new_e1_star[ind] = g1_star_tmp - new_e2_star[ind] = g2_star_tmp - new_sig_star[ind] = sig_star_tmp - k += 1 - - exp_cat = np.array( - list( - map( - tuple, - np.array( - [ - psfex_file["X"], - psfex_file["Y"], - psfex_file["RA"], - psfex_file["DEC"], - new_e1_psf, - new_e2_psf, - new_sig_psf, - psfex_file["FLAG_PSF_HSM"], - new_e1_star, - new_e2_star, - new_sig_star, - psfex_file["FLAG_STAR_HSM"], - np.ones_like(psfex_file["RA"], dtype=int) - * ccd_id, - ] - ).T.tolist(), + + new_x = np.zeros_like(psf_file[mod]) + new_y = np.zeros_like(psf_file[mod]) + new_flag_psf = np.zeros_like(psf_file[mod]) + new_flag_star = np.zeros_like(psf_file[mod]) + for ccd_id in range(40): + m_ccd_id = new_ccd_id == ccd_id + if sum(m_ccd_id) == 0: + continue + + x_shift, y_shift = l2g.shift_coord(ccd_id) + + new_x[m_ccd_id] = ( + psf_file["GLOB_POSITION_IMG_LIST"][:, 0][m_ccd_id] + - x_shift ) - ), - dtype=self._dt, - ) - cat_list.append(exp_cat) + new_y[m_ccd_id] = ( + psf_file["GLOB_POSITION_IMG_LIST"][:, 1][m_ccd_id] + - y_shift + ) + + header_file_path = ( + self._params["sub_dir_setools"] + + self._params["file_pattern_psfint"] + + f"{exp_name}-{ccd_id}.fits" + ) + try: + header_file = fits.getdata(header_file_path, 1) + except Exception: + continue + header = fits.Header.fromstring( + "\n".join(header_file[0][0]), sep="\n" + ) + wcs = galsim.AstropyWCS(header=header) + + g1_psf_tmp_l = [] + g2_psf_tmp_l = [] + sig_psf_tmp_l = [] + g1_star_tmp_l = [] + g2_star_tmp_l = [] + sig_star_tmp_l = [] + flag_psf_tmp_l = [] + flag_star_tmp_l = [] + + for obj in psf_file[m_ccd_id]: + try: + jac = wcs.jacobian( + world_pos=galsim.CelestialCoord( + ra=obj["RA_LIST"] * galsim.degrees, + dec=obj["DEC_LIST"] * galsim.degrees, + ) + ) + except Exception: + flag_star_tmp_l.append(16) + flag_psf_tmp_l.append(16) + g1_psf_tmp_l.append(0) + g2_psf_tmp_l.append(0) + sig_psf_tmp_l.append(0) + g1_star_tmp_l.append(0) + g2_star_tmp_l.append(0) + sig_star_tmp_l.append(0) + continue + g1_psf_tmp, g2_psf_tmp, sig_psf_tmp = transform_shape( + obj["PSF_MOM_LIST"], jac + ) + + g1_psf_tmp_l.append(g1_psf_tmp) + g2_psf_tmp_l.append(g2_psf_tmp) + sig_psf_tmp_l.append(sig_psf_tmp) + flag_psf_tmp_l.append(obj["PSF_MOM_LIST"][3]) + + g1_star_tmp, g2_star_tmp, sig_star_tmp = ( + transform_shape(obj["STAR_MOM_LIST"], jac) + ) + g1_star_tmp_l.append(g1_star_tmp) + g2_star_tmp_l.append(g2_star_tmp) + sig_star_tmp_l.append(sig_star_tmp) + flag_star_tmp_l.append(obj["STAR_MOM_LIST"][3]) + + new_e1_psf[m_ccd_id] = g1_psf_tmp_l + new_e2_psf[m_ccd_id] = g2_psf_tmp_l + new_sig_psf[m_ccd_id] = sig_psf_tmp_l + new_flag_psf[m_ccd_id] = flag_psf_tmp_l + new_e1_star[m_ccd_id] = g1_star_tmp_l + new_e2_star[m_ccd_id] = g2_star_tmp_l + new_sig_star[m_ccd_id] = sig_star_tmp_l + new_flag_star[m_ccd_id] = flag_star_tmp_l + + exp_cat = np.array( + list( + map( + tuple, + np.array( + [ + new_x, + new_y, + psf_file["RA_LIST"], + psf_file["DEC_LIST"], + new_e1_psf, + new_e2_psf, + new_sig_psf, + psf_file["PSF_MOM_LIST"][:, 3], + new_e1_star, + new_e2_star, + new_sig_star, + psf_file["STAR_MOM_LIST"][:, 3], + new_ccd_id, + psf_file["GLOB_POSITION_IMG_LIST"][:, 0], + psf_file["GLOB_POSITION_IMG_LIST"][:, 1], + ] + ).T.tolist(), + ) + ), + dtype=self._dt_mccd, + ) + cat_list.append(exp_cat) - psf_file.close() del psf_file - gc.collect() if len(cat_list) == 0: return @@ -317,6 +803,7 @@ def run_convert(*args): obj = Convert() obj.set_params_from_command_line(args) + obj.update_params() obj.run() diff --git a/scripts/python/create_sample_results.py b/scripts/python/create_sample_results.py index 25e00ec39..0e0223ffe 100755 --- a/scripts/python/create_sample_results.py +++ b/scripts/python/create_sample_results.py @@ -34,9 +34,7 @@ def params_default(): parameter values """ - p_def = cfis.param( - psf = 'mccd' - ) + p_def = cfis.param(psf="mccd") return p_def @@ -57,49 +55,49 @@ def parse_options(p_def): Command line string """ - usage = "%prog [OPTIONS]" + usage = "%prog [OPTIONS]" parser = OptionParser(usage=usage) # I/O parser.add_option( - '', - '--input_IDs', - dest='input_IDs', - type='string', - help='input tile ID file specifying sample' + "", + "--input_IDs", + dest="input_IDs", + type="string", + help="input tile ID file specifying sample", ) parser.add_option( - '-i', - '--input_dir', - dest='input_dir', - type='string', - help='input directory name' + "-i", + "--input_dir", + dest="input_dir", + type="string", + help="input directory name", ) parser.add_option( - '-o', - '--output_dir', - dest='output_dir', - type='string', - help='output directory name' + "-o", + "--output_dir", + dest="output_dir", + type="string", + help="output directory name", ) # Misc parser.add_option( - '-p', - '--psf', - dest='psf', - type='string', + "-p", + "--psf", + dest="psf", + type="string", default=p_def.psf, - help=f'PSF model, one in [\'psfex\'|\'mccd\'], default=\'{p_def.psf}\'' + help=f"PSF model, one in ['psfex'|'mccd'], default='{p_def.psf}'", ) # Control parser.add_option( - '-v', - '--verbose', - dest='verbose', - action='store_true', - help='verbose output' + "-v", + "--verbose", + dest="verbose", + action="store_true", + help="verbose output", ) options, args = parser.parse_args() @@ -122,13 +120,13 @@ def check_options(options): """ if options.input_IDs is None: - print('No input ID file list given (option \'--input_IDs\')') + print("No input ID file list given (option '--input_IDs')") return False if options.input_dir is None: - print('No input directory name given (option \'--input_dir\')') + print("No input directory name given (option '--input_dir')") return False if options.output_dir is None: - print('No output directory name given (option \'--output_dir\')') + print("No output directory name given (option '--output_dir')") return False return True @@ -184,7 +182,7 @@ def read_ID_list(input_ID_path, verbose=False): """ if verbose: - print('Reading input ID list...') + print("Reading input ID list...") input_IDs = [] with open(input_ID_path) as f: @@ -192,12 +190,14 @@ def read_ID_list(input_ID_path, verbose=False): input_IDs.append(line.rstrip()) if verbose: - print('{} IDs found in input file'.format(len(input_IDs))) + print("{} IDs found in input file".format(len(input_IDs))) return input_IDs -def create_links(input_dir, output_dir, input_IDs, result_base_names, verbose=False): +def create_links( + input_dir, output_dir, input_IDs, result_base_names, verbose=False +): """Create symbolic links to result files corresponding to (sub-)sample. Parameters @@ -215,7 +215,7 @@ def create_links(input_dir, output_dir, input_IDs, result_base_names, verbose=Fa """ if verbose: - print('Creating links...') + print("Creating links...") n_total = {} n_created = 0 @@ -223,16 +223,16 @@ def create_links(input_dir, output_dir, input_IDs, result_base_names, verbose=Fa for ID in input_IDs: n_total[ID] = 0 for base in result_base_names: - name = '{}_{}.tgz'.format(base, ID) - src = '{}/{}'.format(os.path.abspath(input_dir), name) - link_name = '{}/{}'.format(output_dir, name) + name = "{}_{}.tgz".format(base, ID) + src = "{}/{}".format(os.path.abspath(input_dir), name) + link_name = "{}/{}".format(output_dir, name) - #if verbose: - #print('Creating link {} <- {}'.format(src, link_name)) + # if verbose: + # print('Creating link {} <- {}'.format(src, link_name)) if not os.path.exists(src): - #raise IOError('Source file \'{}\' does not exist'.format(src)) - print('Source file \'{}\' does not exist, skipping'.format(src)) + # raise IOError('Source file \'{}\' does not exist'.format(src)) + print("Source file '{}' does not exist, skipping".format(src)) elif not os.path.exists(link_name): os.symlink(src, link_name) n_created = n_created + 1 @@ -243,11 +243,15 @@ def create_links(input_dir, output_dir, input_IDs, result_base_names, verbose=Fa n_expected = len(input_IDs) * len(result_base_names) if verbose: - print('{:5d} links created'.format(n_created)) - print('{:5d} links existed already'.format(n_existed)) - print('{:5d}/{} links available now'.format(n_created + n_existed, n_expected)) + print("{:5d} links created".format(n_created)) + print("{:5d} links existed already".format(n_existed)) + print( + "{:5d}/{} links available now".format( + n_created + n_existed, n_expected + ) + ) n_tot = sum(n_total.values()) - print('{:5d} as cross-check'.format(n_tot)) + print("{:5d} as cross-check".format(n_tot)) def main(argv=None): @@ -267,42 +271,50 @@ def main(argv=None): # Save calling command cfis.log_command(argv) if param.verbose: - cfis.log_command(argv, name='sys.stdout') - + cfis.log_command(argv, name="sys.stdout") ### Start main program ### if param.verbose: - print('Start of program {}'.format(os.path.basename(argv[0]))) + print("Start of program {}".format(os.path.basename(argv[0]))) input_IDs = read_ID_list(param.input_IDs, verbose=param.verbose) result_base_names = [ - 'final_cat', - 'logs', - 'setools_mask', - 'setools_stat', - 'setools_plot', - 'pipeline_flag', + "final_cat", + "logs", + "setools_mask", + "setools_stat", + "setools_plot", + "pipeline_flag", ] - if param.psf == 'psfex': - result_base_names.append('psfex_interp_exp') - elif param.psf == 'mccd': - result_base_names.append('mccd_fit_val_runner') + if param.psf == "psfex": + result_base_names.append("psfex_interp_exp") + elif param.psf == "mccd": + result_base_names.append("mccd_fit_val_runner") if os.path.isdir(param.output_dir): if param.verbose: - print('Directory {} already exists, continuing...'.format(param.output_dir)) + print( + "Directory {} already exists, continuing...".format( + param.output_dir + ) + ) else: mkdir(param.output_dir) - create_links(param.input_dir, param.output_dir, input_IDs, result_base_names, verbose=param.verbose) - + create_links( + param.input_dir, + param.output_dir, + input_IDs, + result_base_names, + verbose=param.verbose, + ) ### End main program if param.verbose: - print('End of program {}'.format(os.path.basename(argv[0]))) + print("End of program {}".format(os.path.basename(argv[0]))) return 0 diff --git a/scripts/python/create_star_cat.py b/scripts/python/create_star_cat.py index 2c87d3f8d..f990942f7 100755 --- a/scripts/python/create_star_cat.py +++ b/scripts/python/create_star_cat.py @@ -45,16 +45,16 @@ def _get_wcs(header): """ final_wcs = WCS(naxis=2) - final_wcs.wcs.ctype = [header['CTYPE1'], header['CTYPE2']] + final_wcs.wcs.ctype = [header["CTYPE1"], header["CTYPE2"]] try: - final_wcs.wcs.cunit = [header['CUNIT1'], header['CUNIT2']] + final_wcs.wcs.cunit = [header["CUNIT1"], header["CUNIT2"]] except: - final_wcs.wcs.cunit = ['deg', 'deg'] - final_wcs.wcs.crpix = [header['CRPIX1'], header['CRPIX2']] - final_wcs.wcs.crval = [header['CRVAL1'], header['CRVAL2']] + final_wcs.wcs.cunit = ["deg", "deg"] + final_wcs.wcs.crpix = [header["CRPIX1"], header["CRPIX2"]] + final_wcs.wcs.crval = [header["CRVAL1"], header["CRVAL2"]] final_wcs.wcs.cd = [ - [header['CD1_1'], header['CD1_2']], - [header['CD2_1'], header['CD2_2']] + [header["CD1_1"], header["CD1_2"]], + [header["CD2_1"], header["CD2_2"]], ] return final_wcs @@ -79,17 +79,17 @@ def _get_image_radius(center, wcs): """ if center is None: - raise ValueError('center cannot be None') + raise ValueError("center cannot be None") else: if type(center) is np.ndarray: return SphereDist(center, np.zeros(2), wcs) / 60.0 else: - raise TypeError('center has to be a numpy.ndarray') + raise TypeError("center has to be a numpy.ndarray") def SphereDist(position1, position2, wcs): """Sphere Dist. - + Compute distance between two points on the sphere. Parameters @@ -105,11 +105,10 @@ def SphereDist(position1, position2, wcs): distance (in degrees) """ - if ( - (type(position1) is not np.ndarray) - & (type(position2) is not np.ndarray) + if (type(position1) is not np.ndarray) & ( + type(position2) is not np.ndarray ): - raise ValueError('Positions need to be of type numpy.ndarray') + raise ValueError("Positions need to be of type numpy.ndarray") rad2deg = np.pi / 180.0 p1 = rad2deg * np.hstack(wcs.all_pix2world(position1[0], position1[1], 1)) @@ -120,10 +119,13 @@ def SphereDist(position1, position2, wcs): dLat = dTheta[1] dist = 2 * np.arcsin( - np.sqrt(np.sin(dLat/2.0)**2 + np.cos(p1[1])*np.cos(p2[1])*np.sin(dLong/2.0)**2) + np.sqrt( + np.sin(dLat / 2.0) ** 2 + + np.cos(p1[1]) * np.cos(p2[1]) * np.sin(dLong / 2.0) ** 2 + ) ) - return dist*(180./np.pi)*3600. + return dist * (180.0 / np.pi) * 3600.0 def find_stars(position, output_name, radius=None): @@ -145,16 +147,16 @@ def find_stars(position, output_name, radius=None): # check ra dec types - if dec > 0.: - sign = '+' + if dec > 0.0: + sign = "+" else: - sign = '' + sign = "" - cmd_line = f'findgsc2.2 {ra} {sign}{dec} -r {radius} -n 1000000' + cmd_line = f"findgsc2.2 {ra} {sign}{dec} -r {radius} -n 1000000" CDS_stdout, CDS_stderr = execute(cmd_line) - output_file = open(output_name, 'w') + output_file = open(output_name, "w") output_file.write(CDS_stdout) output_file.close() @@ -164,38 +166,36 @@ def main(input_dir, output_dir, kind): file_list = os.listdir(input_dir) for f in file_list: - if 'image' not in f: + if "image" not in f: continue - if kind == 'exp': + if kind == "exp": list_ind = range(1, 41) else: list_ind = [0] for ind in list_ind: - if kind == 'exp': - exp_suff = '-{}'.format(ind-1) + if kind == "exp": + exp_suff = "-{}".format(ind - 1) else: - exp_suff = '' + exp_suff = "" - img_number = re.split('image', os.path.splitext(f)[0])[1] - output_name = f'{output_dir}/star_cat{img_number}{exp_suff}.cat' + img_number = re.split("image", os.path.splitext(f)[0])[1] + output_name = f"{output_dir}/star_cat{img_number}{exp_suff}.cat" if os.path.isfile(output_name): continue - h = fits.getheader(input_dir + '/' + f, ind) + h = fits.getheader(input_dir + "/" + f, ind) w = _get_wcs(h) - img_shape = (h['NAXIS2'], h['NAXIS1']) - img_center = np.array([img_shape[1]/2., img_shape[0]/2.]) + img_shape = (h["NAXIS2"], h["NAXIS1"]) + img_center = np.array([img_shape[1] / 2.0, img_shape[0] / 2.0]) wcs_center = w.all_pix2world([img_center], 1)[0] astropy_center = SkyCoord( - ra=wcs_center[0], - dec=wcs_center[1], - unit='deg' + ra=wcs_center[0], dec=wcs_center[1], unit="deg" ) rad = _get_image_radius(img_center, w) @@ -203,29 +203,29 @@ def main(input_dir, output_dir, kind): find_stars( np.array([astropy_center.ra.value, astropy_center.dec.value]), output_name, - rad + rad, ) return 0 -if __name__ == '__main__': +if __name__ == "__main__": argv = sys.argv try: input_path = argv[1] except: - input_path = '.' + input_path = "." try: output_path = argv[2] except: - output_path = '.' + output_path = "." try: kind = argv[3] except: - kind = '' + kind = "" main(input_path, output_path, kind) diff --git a/scripts/python/get_number_objects.py b/scripts/python/get_number_objects.py index 0f3ae41b1..232810ffd 100755 --- a/scripts/python/get_number_objects.py +++ b/scripts/python/get_number_objects.py @@ -14,15 +14,16 @@ import copy import glob -from optparse import OptionParser +from optparse import OptionParser from astropy.io import fits from shapepipe.pipeline.run_log import get_last_dir, get_all_dirs -from shapepipe.utilities import cfis +from shapepipe.utilities import cfis class param: """General class to store (default) variables""" + def __init__(self, **kwds): self.__dict__.update(kwds) @@ -43,8 +44,8 @@ class param """ p_def = param( - input_path='.', - input_name_base='final_cat', + input_path=".", + input_name_base="final_cat", hdu_num=1, ) @@ -66,60 +67,60 @@ def parse_options(p_def): command line str """ - usage = "%prog [OPTIONS]" + usage = "%prog [OPTIONS]" parser = OptionParser(usage=usage) # IO parser.add_option( - '-i', - '--input_path', - dest='input_path', - type='string', + "-i", + "--input_path", + dest="input_path", + type="string", default=p_def.input_path, - help=f'input path, default=\'{p_def.input_path}\'' + help=f"input path, default='{p_def.input_path}'", ) parser.add_option( - '-n', - '--input_name_base', - dest='input_name_base', - type='string', + "-n", + "--input_name_base", + dest="input_name_base", + type="string", default=p_def.input_name_base, - help=f'input name base, default=\'{p_def.input_name_base}\'' + help=f"input name base, default='{p_def.input_name_base}'", ) parser.add_option( - '-l', - '--list_tile_ID_path', - dest='tile_ID_list_path', - type='string', + "-l", + "--list_tile_ID_path", + dest="tile_ID_list_path", + type="string", default=None, - help=f'tile ID list, default: Use all data in input files' + help=f"tile ID list, default: Use all data in input files", ) # Control parser.add_option( - '-p', - '--param_path', - dest='param_path', - type='string', + "-p", + "--param_path", + dest="param_path", + type="string", default=None, - help='parameter file path, default=None' + help="parameter file path, default=None", ) parser.add_option( - '', - '--hdu_num', - dest='hdu_num', - type='int', + "", + "--hdu_num", + dest="hdu_num", + type="int", default=p_def.hdu_num, - help=f'input HDU number, default=\'{p_def.hdu_num}\'' + help=f"input HDU number, default='{p_def.hdu_num}'", ) parser.add_option( - '-v', - '--verbose', - dest='verbose', - action='store_true', - help='verbose output' + "-v", + "--verbose", + dest="verbose", + action="store_true", + help="verbose output", ) options, args = parser.parse_args() @@ -199,19 +200,19 @@ def read_param_file(path, verbose=False): with open(path) as f: for line in f: - if line.startswith('#'): - continue + if line.startswith("#"): + continue entry = line.rstrip() - if not entry or entry == '': + if not entry or entry == "": continue param_list.append(entry) if verbose: - if len(param_list) > 0: - print(f'Copying {len(param_list)} columns', end='') + if len(param_list) > 0: + print(f"Copying {len(param_list)} columns", end="") else: - print('Copying all columns', end='') - print(' into merged catalogue') + print("Copying all columns", end="") + print(" into merged catalogue") # Check for multiples multiples = [] @@ -220,15 +221,18 @@ def read_param_file(path, verbose=False): multiples.append(param) if len(multiples) > 0: - print('The following parameters are more than one times ' - 'in the parameter file: ', end='') + print( + "The following parameters are more than one times " + "in the parameter file: ", + end="", + ) for m in multiples: - print(m, end=' ') + print(m, end=" ") print() - raise ValueError('Multiple identical keys found') + raise ValueError("Multiple identical keys found") return param_list - + def get_data(path, hdu_num, param_list): """Return data of selected columns from FITS file. @@ -255,7 +259,7 @@ def get_data(path, hdu_num, param_list): if param_list: cols = [] for p in param_list: - cols.append(hdu.columns[p]) + cols.append(hdu.columns[p]) coldefs = fits.ColDefs(cols) hdu_new = fits.BinTableHDU.from_columns(coldefs) d = hdu_new.data @@ -281,11 +285,11 @@ def main(argv=None): # Save command line arguments to log file f_log = cfis.log_command(argv, close_no_return=False) - pattern = 'sexcat' - run_log_file = 'output/log_run_sp.txt' + pattern = "sexcat" + run_log_file = "output/log_run_sp.txt" # For v1 - #module = 'sextractor_runner_run_1' + # module = 'sextractor_runner_run_1' # For v2 module = "sextractor_runner" @@ -297,16 +301,16 @@ def main(argv=None): paths = sorted(paths) last_dir = paths[-1] - file_list = glob.glob(f'{last_dir}/{pattern}*.fits') + file_list = glob.glob(f"{last_dir}/{pattern}*.fits") if len(file_list) == 0: - raise ValueError(f'No files {last_dir}/{pattern}*.fits found') + raise ValueError(f"No files {last_dir}/{pattern}*.fits found") n_obj = 0 hdu_no = -1 for fpath in file_list: hdu_list = fits.open(fpath) header = hdu_list[-1].header - n_obj += int(header['NAXIS2']) + n_obj += int(header["NAXIS2"]) n_obj = int(n_obj / len(file_list)) diff --git a/scripts/python/link_to_exp_for_tile.py b/scripts/python/link_to_exp_for_tile.py index 929c90940..069121740 100755 --- a/scripts/python/link_to_exp_for_tile.py +++ b/scripts/python/link_to_exp_for_tile.py @@ -20,9 +20,8 @@ class param: - """General class to store (default) variables + """General class to store (default) variables""" - """ def __init__(self, **kwds): self.__dict__.update(kwds) @@ -35,7 +34,7 @@ def var_list(self, **kwds): def params_default(): """Params Default. - + Set default parameter values. Returns @@ -45,8 +44,8 @@ class param """ p_def = param( - tile_base_dir = '.', - exp_base_dir = '.', + tile_base_dir=".", + exp_base_dir=".", ) return p_def @@ -54,7 +53,7 @@ class param def parse_options(p_def): """Parse Options. - + Parse command line options. Parameters @@ -69,39 +68,39 @@ def parse_options(p_def): command line str """ - usage = "%prog [OPTIONS]" + usage = "%prog [OPTIONS]" parser = OptionParser(usage=usage) # IO parser.add_option( - '-i', - '--input_tile_dir', - dest='tile_base_dir', - type='string', + "-i", + "--input_tile_dir", + dest="tile_base_dir", + type="string", default=p_def.tile_base_dir, - help=f'input tile base directory, default=\'{p_def.tile_base_dir}\'' + help=f"input tile base directory, default='{p_def.tile_base_dir}'", ) parser.add_option( - '-t', - '--tile_ID', - dest='tile_ID', - type='string', + "-t", + "--tile_ID", + dest="tile_ID", + type="string", help=f"input tile ID", ) parser.add_option( - '-I', - '--input_exp_dir', - dest='exp_base_dir', - type='string', + "-I", + "--input_exp_dir", + dest="exp_base_dir", + type="string", default=p_def.exp_base_dir, - help=f'input exposure base directory, default=\'{p_def.exp_base_dir}\'' + help=f"input exposure base directory, default='{p_def.exp_base_dir}'", ) parser.add_option( - '-v', - '--verbose', - dest='verbose', - action='store_true', - help='verbose output' + "-v", + "--verbose", + dest="verbose", + action="store_true", + help="verbose output", ) options, args = parser.parse_args() @@ -111,7 +110,7 @@ def parse_options(p_def): def check_options(options): """Check Options. - + Check command line options. Parameters @@ -130,7 +129,7 @@ def check_options(options): def update_param(p_def, options): """Update Param. - + Return default parameter, updated and complemented according to options. Parameters @@ -163,7 +162,7 @@ class param return param -# TODO: move to cs_util +# TODO: move to cs_util def matching_subdirs(base_dir, pattern): # Find all matching subdirectories @@ -218,7 +217,7 @@ def get_exp_IDs(tile_base_dir, tile_ID, verbose=False): for line in f_in: name = line.strip() # Remove any letter - ID = re.sub("[a-zA-Z]", "", name) + ID = re.sub("[a-zA-Z]", "", name) exp_IDs.append(ID) if verbose: @@ -236,7 +235,7 @@ def get_exp_single_HDU_IDs(exp_IDs, n_CPU): return exp_shdu_IDs - + def get_paths(exp_base_dir, exp_shdu_IDs, pattern): number = {} @@ -259,7 +258,7 @@ def get_paths(exp_base_dir, exp_shdu_IDs, pattern): + f" not {n_subdirs}" ) print(msg) - # More than one match: sort according to name = creation time + # More than one match: sort according to name = creation time subdirs = sorted(subdirs) if n_subdirs == 0: continue @@ -283,9 +282,9 @@ def create_links_paths(tile_base_dir, tile_ID, paths, verbose=False): src_existing = os.readlink(dst) if src_existing == src: if verbose: - #print("link {src} <- {dst}") + # print("link {src} <- {dst}") f"Warning: {src} <- {dst} already exists, no link created" - #) + # ) continue else: idx = 1 @@ -328,13 +327,12 @@ def main(argv=None): exp_shdu_IDs = get_exp_single_HDU_IDs(exp_IDs, n_CPU) # Note: psfex P3 is mostly run_sp_exp_SxSePsf - patterns = ["run_sp_exp_SxSePsfPi"] #, "run_sp_exp_Pi"] + patterns = ["run_sp_exp_SxSePsfPi"] # , "run_sp_exp_Pi"] for pattern in patterns: paths, number = get_paths(exp_base_dir, exp_shdu_IDs, pattern) create_links_paths(tile_base_dir, tile_ID, paths, verbose=verbose) - return 0 diff --git a/scripts/python/merge_final_cat.py b/scripts/python/merge_final_cat.py index 076f5c935..e634cd723 100755 --- a/scripts/python/merge_final_cat.py +++ b/scripts/python/merge_final_cat.py @@ -24,9 +24,8 @@ class param: - """General class to store (default) variables + """General class to store (default) variables""" - """ def __init__(self, **kwds): self.__dict__.update(kwds) @@ -39,7 +38,7 @@ def var_list(self, **kwds): def params_default(): """Params Default. - + Set default parameter values. Returns @@ -49,9 +48,9 @@ class param """ p_def = param( - input_path = '.', - input_name_base = 'final_cat', - hdu_num = 1, + input_path=".", + input_name_base="final_cat", + hdu_num=1, ) return p_def @@ -59,7 +58,7 @@ class param def parse_options(p_def): """Parse Options. - + Parse command line options. Parameters @@ -74,60 +73,60 @@ def parse_options(p_def): command line str """ - usage = "%prog [OPTIONS]" + usage = "%prog [OPTIONS]" parser = OptionParser(usage=usage) # IO parser.add_option( - '-i', - '--input_path', - dest='input_path', - type='string', + "-i", + "--input_path", + dest="input_path", + type="string", default=p_def.input_path, - help=f'input path, default=\'{p_def.input_path}\'' + help=f"input path, default='{p_def.input_path}'", ) parser.add_option( - '-n', - '--input_name_base', - dest='input_name_base', - type='string', + "-n", + "--input_name_base", + dest="input_name_base", + type="string", default=p_def.input_name_base, - help=f'input name base, default=\'{p_def.input_name_base}\'' + help=f"input name base, default='{p_def.input_name_base}'", ) parser.add_option( - '-l', - '--list_tile_ID_path', - dest='tile_ID_list_path', - type='string', + "-l", + "--list_tile_ID_path", + dest="tile_ID_list_path", + type="string", default=None, - help=f'tile ID list, default: Use all data in input files' + help=f"tile ID list, default: Use all data in input files", ) # Control parser.add_option( - '-p', - '--param_path', - dest='param_path', - type='string', + "-p", + "--param_path", + dest="param_path", + type="string", default=None, - help='parameter file path, default=None' + help="parameter file path, default=None", ) parser.add_option( - '', - '--hdu_num', - dest='hdu_num', - type='int', + "", + "--hdu_num", + dest="hdu_num", + type="int", default=p_def.hdu_num, - help=f'input HDU number, default=\'{p_def.hdu_num}\'' + help=f"input HDU number, default='{p_def.hdu_num}'", ) parser.add_option( - '-v', - '--verbose', - dest='verbose', - action='store_true', - help='verbose output' + "-v", + "--verbose", + dest="verbose", + action="store_true", + help="verbose output", ) options, args = parser.parse_args() @@ -137,7 +136,7 @@ def parse_options(p_def): def check_options(options): """Check Options. - + Check command line options. Parameters @@ -156,7 +155,7 @@ def check_options(options): def update_param(p_def, options): """Update Param. - + Return default parameter, updated and complemented according to options. Parameters @@ -191,7 +190,7 @@ class param def read_param_file(path, verbose=False): """Read Param File. - + Return parameter list read from file. Parameters @@ -213,19 +212,19 @@ def read_param_file(path, verbose=False): with open(path) as f: for line in f: - if line.startswith('#'): - continue + if line.startswith("#"): + continue entry = line.rstrip() - if not entry or entry == '': + if not entry or entry == "": continue param_list.append(entry) if verbose: - if len(param_list) > 0: - print(f'Copying {len(param_list)} columns', end='') + if len(param_list) > 0: + print(f"Copying {len(param_list)} columns", end="") else: - print('Copying all columns', end='') - print(' into merged catalogue') + print("Copying all columns", end="") + print(" into merged catalogue") # Check for multiples multiples = [] @@ -234,19 +233,22 @@ def read_param_file(path, verbose=False): multiples.append(param) if len(multiples) > 0: - print('The following parameters are more than one times ' - 'in the parameter file: ', end='') + print( + "The following parameters are more than one times " + "in the parameter file: ", + end="", + ) for m in multiples: - print(m, end=' ') + print(m, end=" ") print() - raise ValueError('Multiple identical keys found') + raise ValueError("Multiple identical keys found") return param_list - + def get_data(path, hdu_num, param_list): """Get Data. - + Return data of selected columns from FITS file. Parameters @@ -271,7 +273,7 @@ def get_data(path, hdu_num, param_list): if param_list: cols = [] for p in param_list: - cols.append(hdu.columns[p]) + cols.append(hdu.columns[p]) coldefs = fits.ColDefs(cols) hdu_new = fits.BinTableHDU.from_columns(coldefs) d = hdu_new.data @@ -307,7 +309,7 @@ def main(argv=None): # find input catalogue FITS files l = os.listdir(path=path) - ext = 'fits' + ext = "fits" lpath = [] for this_l in l: @@ -316,22 +318,22 @@ def main(argv=None): # mark to add if correct extension, matches input pattern, if ( this_l.endswith(ext) - and (f'{param.input_name_base}' in this_l) - and ('.npy' not in this_l) + and (f"{param.input_name_base}" in this_l) + and (".npy" not in this_l) ): add_this_l = True # unmark to add if no in (optional) input tile ID file - if param.tile_ID_list_path: + if param.tile_ID_list_path: nix, niy = cfis.get_tile_number(this_l) - tile_ID = f'{nix}.{niy}' + tile_ID = f"{nix}.{niy}" if tile_ID not in tile_ID_list: add_this_l = False if add_this_l: lpath.append(os.path.join(path, this_l)) if param.verbose: - print(f'{len(lpath)} files files to merge found') + print(f"{len(lpath)} files files to merge found") count = 0 @@ -342,7 +344,7 @@ def main(argv=None): d[key] = d_tmp[key] count = count + 1 if param.verbose: - print(f'File \'{lpath[0]}\' copied ({count}/{len(lpath)})') + print(f"File '{lpath[0]}' copied ({count}/{len(lpath)})") # merge remaining catalogue files for fname in lpath[1:]: @@ -356,21 +358,21 @@ def main(argv=None): count = count + 1 if param.verbose: - print(f'File \'{fname}\' copied ({count}/{len(lpath)})') + print(f"File '{fname}' copied ({count}/{len(lpath)})") d = np.concatenate((d, dd)) except: print( - f'Error while adding file \'{fname}\', {len(dd)} objects' - ' not in final cat' + f"Error while adding file '{fname}', {len(dd)} objects" + " not in final cat" ) # Save merged catalogue as numpy binary file if param.verbose: - print('Saving merged catalogue') - np.save(f'{param.input_name_base}.npy', d) + print("Saving merged catalogue") + np.save(f"{param.input_name_base}.npy", d) - msg = f'{count} catalog files merged with success' + msg = f"{count} catalog files merged with success" if param.verbose: print(msg) print(msg, file=f_log) diff --git a/scripts/python/stats_global.py b/scripts/python/stats_global.py index 950abba78..b3a6964b7 100755 --- a/scripts/python/stats_global.py +++ b/scripts/python/stats_global.py @@ -40,9 +40,9 @@ def params_default(): """ p_def = cfis.param( - input_dir = '.', - output_dir = '.', - pattern = 'star_stat-', + input_dir=".", + output_dir=".", + pattern="star_stat-", ) return p_def @@ -64,23 +64,49 @@ def parse_options(p_def): Command line string """ - usage = "%prog [OPTIONS]" + usage = "%prog [OPTIONS]" parser = OptionParser(usage=usage) # I/O - parser.add_option('-i', '--input_dir', dest='input_dir', type='string', \ - default=p_def.input_dir, \ - help='input directory, default=\'{}\''.format(p_def.input_dir)) - parser.add_option('-o', '--output_dir', dest='output_dir', type='string', \ - default=p_def.output_dir, \ - help='output directory, default=\'{}\''.format(p_def.output_dir)) - parser.add_option('-c', '--config', dest='config', type='string', \ - help='configuration file, default=none') - parser.add_option('-p', '--pattern', dest='pattern', type='string', \ - default=p_def.pattern, \ - help='input file pattern, default=\'{}\''.format(p_def.pattern)) - - parser.add_option('-v', '--verbose', dest='verbose', action='store_true', help='verbose output') + parser.add_option( + "-i", + "--input_dir", + dest="input_dir", + type="string", + default=p_def.input_dir, + help="input directory, default='{}'".format(p_def.input_dir), + ) + parser.add_option( + "-o", + "--output_dir", + dest="output_dir", + type="string", + default=p_def.output_dir, + help="output directory, default='{}'".format(p_def.output_dir), + ) + parser.add_option( + "-c", + "--config", + dest="config", + type="string", + help="configuration file, default=none", + ) + parser.add_option( + "-p", + "--pattern", + dest="pattern", + type="string", + default=p_def.pattern, + help="input file pattern, default='{}'".format(p_def.pattern), + ) + + parser.add_option( + "-v", + "--verbose", + dest="verbose", + action="store_true", + help="verbose output", + ) options, args = parser.parse_args() @@ -106,14 +132,14 @@ def check_options(options): def update_param(p_def, options): """Return default parameter, updated and complemented according to options. - + Parameters ---------- p_def: class param parameter values options: tuple command line options - + Returns ------- param: class param @@ -152,8 +178,11 @@ def get_stats_file_list(param): """ # Full paths - paths = glob.glob('{}/output/*/setools_runner/output/stat/{}*'. - format(param.input_dir, param.pattern)) + paths = glob.glob( + "{}/output/*/setools_runner/output/stat/{}*".format( + param.input_dir, param.pattern + ) + ) # File names w/o directories names = [] @@ -170,8 +199,11 @@ def get_stats_file_list(param): paths_unq.append(paths[i]) if param.verbose: - print('{} files in total, {} unique files found'. - format(len(paths), len(paths_unq))) + print( + "{} files in total, {} unique files found".format( + len(paths), len(paths_unq) + ) + ) return paths_unq @@ -196,11 +228,11 @@ def gather_values(paths, verbose=False): for path in paths: with open(path) as f: lines = f.readlines() - for line in lines: + for line in lines: m = re.search("#", line) if m: continue - m = re.search('(.*) = (\S*)', line) + m = re.search("(.*) = (\S*)", line) if m: key = m[1] val = float(m[2]) @@ -210,13 +242,14 @@ def gather_values(paths, verbose=False): values[key].append(val) else: if verbose: - print('NaN found in file \'{}\', key \'{}\'' - .format(path, key)) + print( + "NaN found in file '{}', key '{}'".format(path, key) + ) if verbose: - print('{} keys created'.format(len(values))) + print("{} keys created".format(len(values))) for key in values: - print('#{{values[{}]}} = {}'.format(key, len(values[key]))) + print("#{{values[{}]}} = {}".format(key, len(values[key]))) return values @@ -239,12 +272,12 @@ def compute_histograms(values, config=None, verbose=False): histograms for all keys """ - if config and config.has_option('ALL', 'nbins'): - nbins_global = config.getint('ALL', 'nbins') + if config and config.has_option("ALL", "nbins"): + nbins_global = config.getint("ALL", "nbins") else: nbins_global = 50 - print('nbins_global = {}'.format(nbins_global)) + print("nbins_global = {}".format(nbins_global)) hists = {} i = 0 @@ -252,22 +285,22 @@ def compute_histograms(values, config=None, verbose=False): si = str(i) - if config and config.has_option(si, 'nbins'): - nbins = config.getint(si, 'nbins') + if config and config.has_option(si, "nbins"): + nbins = config.getint(si, "nbins") else: nbins = nbins_global try: hists[key] = np.histogram(values[key], bins=nbins) except ValueError as err: - print('Skipping histogram #{}: {}'.format(i, err)) + print("Skipping histogram #{}: {}".format(i, err)) i = i + 1 return hists -def plot_histograms(hists, config=None, output_dir='.', verbose=False): +def plot_histograms(hists, config=None, output_dir=".", verbose=False): """Create histogram plots. Parameters @@ -285,9 +318,9 @@ def plot_histograms(hists, config=None, output_dir='.', verbose=False): fig, (ax) = plt.subplots() plt.tight_layout() - if config and config.has_option('ALL', 'fontsize'): - fontsize = config.getint('ALL', 'fontsize') - plt.rcParams.update({'font.size': fontsize}) + if config and config.has_option("ALL", "fontsize"): + fontsize = config.getint("ALL", "fontsize") + plt.rcParams.update({"font.size": fontsize}) xlim_fac = 0.05 @@ -296,11 +329,13 @@ def plot_histograms(hists, config=None, output_dir='.', verbose=False): si = str(i) - if config and \ - config.has_option(si, 'plot') and \ - config.getboolean(si, 'plot') == False: + if ( + config + and config.has_option(si, "plot") + and config.getboolean(si, "plot") == False + ): if verbose: - print('Skipping histogram #{} {}'.format(i, key)) + print("Skipping histogram #{} {}".format(i, key)) else: @@ -314,12 +349,12 @@ def plot_histograms(hists, config=None, output_dir='.', verbose=False): # Overwrite limits if found in config file. # If not stretch bin boundaries - if config and config.has_option(si, 'xmin'): - xmin = config.getfloat(si, 'xmin') + if config and config.has_option(si, "xmin"): + xmin = config.getfloat(si, "xmin") else: xmin = min(bins) - if config and config.has_option(si, 'xmax'): - xmax = config.getfloat(si, 'xmax') + if config and config.has_option(si, "xmax"): + xmax = config.getfloat(si, "xmax") else: xmax = max(bins) @@ -327,19 +362,19 @@ def plot_histograms(hists, config=None, output_dir='.', verbose=False): # If limits from bin boundaries: extend by small # amount - if config and config.has_option(si, 'xmin'): + if config and config.has_option(si, "xmin"): xxmin = xmin else: xxmin = xmin - dx * xlim_fac - if config and config.has_option(si, 'xmax'): + if config and config.has_option(si, "xmax"): xxmax = xmax else: xxmax = xmax + dx * xlim_fac plt.xlim(xxmin, xxmax) - if config and config.has_option(si, 'xlabel'): - xlabel = config.get(si, 'xlabel') + if config and config.has_option(si, "xlabel"): + xlabel = config.get(si, "xlabel") else: xlabel = key plt.xlabel(xlabel) @@ -347,28 +382,33 @@ def plot_histograms(hists, config=None, output_dir='.', verbose=False): ymin = min(freq) ymax = max(freq) plt.ylim(ymin, ymax) - ylabel = 'frequency' + ylabel = "frequency" plt.ylabel(ylabel) - if config and config.has_option(si, 'title'): - plt.title(config.get(si, 'title')) + if config and config.has_option(si, "title"): + plt.title(config.get(si, "title")) - if config and config.has_option(si, 'fname'): - file_base = config.getexpanded(si, 'fname') + if config and config.has_option(si, "fname"): + file_base = config.getexpanded(si, "fname") else: - file_base = 'hist_{}'.format(i) + file_base = "hist_{}".format(i) if verbose: - print('Creating files \'{}.*\''.format(file_base)) - - plt.savefig('{}/{}.png'.format(output_dir, file_base), bbox_inches='tight') - np.savetxt('{}/{}.txt'.format(output_dir, file_base), np.transpose([bins, freq]), - fmt='%10g', header='[{}] [{}]'.format(xlabel, ylabel)), + print("Creating files '{}.*'".format(file_base)) + + plt.savefig( + "{}/{}.png".format(output_dir, file_base), bbox_inches="tight" + ) + np.savetxt( + "{}/{}.txt".format(output_dir, file_base), + np.transpose([bins, freq]), + fmt="%10g", + header="[{}] [{}]".format(xlabel, ylabel), + ), i = i + 1 - def get_config(config_path, verbose=False): """Return configuration file values. @@ -391,10 +431,12 @@ def get_config(config_path, verbose=False): from shapepipe.pipeline.config import CustomParser if verbose: - print('Reading configuration file \'{}\''.format(config_path)) + print("Reading configuration file '{}'".format(config_path)) if not os.path.exists(config_path): - raise OSError('Configuration file \'{}\' does not exist'.format(config_path)) + raise OSError( + "Configuration file '{}' does not exist".format(config_path) + ) conf = CustomParser() conf.read(config_path) @@ -419,13 +461,12 @@ def main(argv=None): # Save calling command cfis.log_command(argv) if param.verbose: - cfis.log_command(argv, name='sys.stdout') - + cfis.log_command(argv, name="sys.stdout") ### Start main program ### if param.verbose: - print('Start of program {}'.format(os.path.basename(argv[0]))) + print("Start of program {}".format(os.path.basename(argv[0]))) files = get_stats_file_list(param) @@ -436,22 +477,23 @@ def main(argv=None): hists = compute_histograms(values, config=config, verbose=param.verbose) if os.path.isfile(param.output_dir): - raise OSError('Output path \'{}\' is a regular file' - ''.format(param.output_dir)) + raise OSError( + "Output path '{}' is a regular file" "".format(param.output_dir) + ) if not os.path.isdir(param.output_dir): os.mkdir(param.output_dir) - plot_histograms(hists, config=config, output_dir=param.output_dir, - verbose=param.verbose) + plot_histograms( + hists, config=config, output_dir=param.output_dir, verbose=param.verbose + ) ### End main program if param.verbose: - print('End of program {}'.format(os.path.basename(argv[0]))) + print("End of program {}".format(os.path.basename(argv[0]))) return 0 if __name__ == "__main__": sys.exit(main(sys.argv)) - diff --git a/scripts/python/summary_params_pre_v2.py b/scripts/python/summary_params_pre_v2.py index d640c8ab1..411053b3e 100644 --- a/scripts/python/summary_params_pre_v2.py +++ b/scripts/python/summary_params_pre_v2.py @@ -5,9 +5,7 @@ def set_jobs_v2_pre_v2(patch, verbose): - """ Return information about shapepipe jobs - - """ + """Return information about shapepipe jobs""" print(f"Set job info for patch {patch}") # Main input and output directory @@ -20,7 +18,7 @@ def set_jobs_v2_pre_v2(patch, verbose): log_file_name = f"{path}/summary_log.txt" handlers = [ logging.FileHandler(log_file_name, mode="w"), - logging.StreamHandler() + logging.StreamHandler(), ] logging.basicConfig( level=logging.INFO, format="%(message)s", handlers=handlers @@ -37,7 +35,7 @@ def set_jobs_v2_pre_v2(patch, verbose): jobs = {} # Set the first job (retrieve images) - + # With "CFIS_" only the linked images are counted. The original # ones do not match the IDdash pattern. # If images were downloaded in several runs: @@ -46,8 +44,8 @@ def set_jobs_v2_pre_v2(patch, verbose): # - remove previous output dirs since only last is searched jobs["1"] = job_data( 1, - "run_sp_GitFeGie", - [ + "run_sp_GitFeGie", + [ "get_images_runner_run_1", "find_exposures_runner", "get_images_runner_run_2", @@ -111,7 +109,7 @@ def set_jobs_v2_pre_v2(patch, verbose): "run_sp_exp_SxSePsf", "run_sp_exp_SxSePsf", "run_sp_exp_SxSePsf", - #"run_sp_exp_Pi" + # "run_sp_exp_Pi" ], [ "sextractor_runner", @@ -129,7 +127,7 @@ def set_jobs_v2_pre_v2(patch, verbose): ) # For P3 - #jobs["33"] = job_data( + # jobs["33"] = job_data( # 33, # "run_sp_exp_Pi", # ["psfex_interp_runner"], @@ -139,7 +137,7 @@ def set_jobs_v2_pre_v2(patch, verbose): # output_subdirs="shdus", # path_right="output", # verbose=verbose, - #) + # ) jobs["64"] = job_data( "64", @@ -161,7 +159,8 @@ def set_jobs_v2_pre_v2(patch, verbose): n_sh = 8 run_dirs = [f"run_sp_tile_ngmix_Ng{idx+1}u" for idx in range(n_sh)] output_path_missing_IDs = [ - f"{path_main}/summary/missing_job_128_ngmix_runner_{idx+1}.txt" for idx in range(n_sh) + f"{path_main}/summary/missing_job_128_ngmix_runner_{idx+1}.txt" + for idx in range(n_sh) ] jobs["128"] = job_data( "128", @@ -217,5 +216,5 @@ def set_jobs_v2_pre_v2(patch, verbose): path_left="output", verbose=verbose, ) - + return jobs, list_tile_IDs_dot diff --git a/scripts/python/summary_run.py b/scripts/python/summary_run.py index 0039ff628..f24d6574d 100755 --- a/scripts/python/summary_run.py +++ b/scripts/python/summary_run.py @@ -20,19 +20,21 @@ def main(argv=None): verbose = False jobs, list_tile_IDs_dot = set_jobs_v2_pre_v2(patch, verbose) - + list_tile_IDs = job_data.replace_dot_dash(list_tile_IDs_dot) - + # Numbers updated at runtime par_runtime = init_par_runtime(list_tile_IDs) - + job_data.print_stats_header() exp_IDs_path = "exp_numbers.txt" if os.path.exists(exp_IDs_path): # Read exposure ID list if file exists all_exposures = get_IDs_from_file(exp_IDs_path) - par_runtime = update_par_runtime_after_find_exp(par_runtime, all_exposures) + par_runtime = update_par_runtime_after_find_exp( + par_runtime, all_exposures + ) if ( not os.path.exists(exp_IDs_path) @@ -46,10 +48,11 @@ def main(argv=None): jobs[key].check_numbers(par_runtime=par_runtime, indices=[0, 1]) all_exposures = get_all_exposures( - jobs[key]._paths_in_dir[1], - verbose=True + jobs[key]._paths_in_dir[1], verbose=True + ) + par_runtime = update_par_runtime_after_find_exp( + par_runtime, all_exposures ) - par_runtime = update_par_runtime_after_find_exp(par_runtime, all_exposures) jobs[key].write_IDs_to_file("exp_numbers.txt", all_exposures) @@ -57,7 +60,6 @@ def main(argv=None): print_par_runtime(par_runtime, verbose=verbose) - # Get all keys after "1" keys = sorted(jobs.keys(), key=int) _ = keys.pop(0) diff --git a/scripts/python/update_runs_log_file.py b/scripts/python/update_runs_log_file.py index a08890117..6cd1fde63 100644 --- a/scripts/python/update_runs_log_file.py +++ b/scripts/python/update_runs_log_file.py @@ -4,24 +4,25 @@ import sys import os + # TODO: move to cs_util -def matching_subdirs(base_dir, pattern, tail=False): - - # Find all matching subdirectories - subdirs = [] - for entry in os.listdir(base_dir): - full_path = os.path.join(base_dir, entry) +def matching_subdirs(base_dir, pattern, tail=False): + + # Find all matching subdirectories + subdirs = [] + for entry in os.listdir(base_dir): + full_path = os.path.join(base_dir, entry) if os.path.isdir(full_path): found = False # Look for pattern at start or end - if pattern in entry: + if pattern in entry: # Get full path or last part ("tail") if not tail: path = full_path else: - head, tail = os.path.split(full_path) + head, tail = os.path.split(full_path) path = tail # Remove postfix in case of multiple runs of same module @@ -29,11 +30,11 @@ def matching_subdirs(base_dir, pattern, tail=False): # Append to result subdirs.append(path) - - # Sort according to creation date + + # Sort according to creation date if not tail: - subdirs.sort(key=os.path.getctime) - + subdirs.sort(key=os.path.getctime) + return subdirs @@ -50,36 +51,36 @@ def get_module_runs(subdirs): def update_log_file(module_runs, log_name): - with open(log_name, "w") as f_out: + with open(log_name, "w") as f_out: for key in module_runs: print(key, file=f_out, end=" ") print(",".join(module_runs[key]), file=f_out) -def main(argv=None): - - # Set default parameters - #p_def = params_default() - - # Command line options - #options, args = parse_options(p_def) - - #if check_options(options) is False: - #return 1 - - #param = update_param(p_def, options) - +def main(argv=None): + + # Set default parameters + # p_def = params_default() + + # Command line options + # options, args = parse_options(p_def) + + # if check_options(options) is False: + # return 1 + + # param = update_param(p_def, options) + base_dir = "./output" pattern = "run_sp_" log_name = f"{base_dir}/log_run_sp.txt" subdirs = matching_subdirs(base_dir, pattern) module_runs = get_module_runs(subdirs) - #save_prev(log_name) + # save_prev(log_name) update_log_file(module_runs, log_name) - - return 0 - - -if __name__ == "__main__": + + return 0 + + +if __name__ == "__main__": sys.exit(main(sys.argv)) diff --git a/scripts/python/vignets2image.py b/scripts/python/vignets2image.py index 7fb444246..60933173c 100755 --- a/scripts/python/vignets2image.py +++ b/scripts/python/vignets2image.py @@ -35,48 +35,47 @@ def map_vignet(img_arr, dtype): ys = img_arr[0].shape[1] nx = int(np.sqrt(n_obj)) - if nx*nx != n_obj: + if nx * nx != n_obj: nx += 1 ny = nx - img_map=np.ones((xs*nx,ys*ny), dtype=dtype) + img_map = np.ones((xs * nx, ys * ny), dtype=dtype) - ii=0 - jj=0 + ii = 0 + jj = 0 for i in range(n_obj): - if jj>nx-1: - jj=0 - ii+=1 - img_map[ii*xs:(ii+1)*xs,jj*ys:(jj+1)*ys]=img_arr[i] - jj+=1 + if jj > nx - 1: + jj = 0 + ii += 1 + img_map[ii * xs : (ii + 1) * xs, jj * ys : (jj + 1) * ys] = img_arr[i] + jj += 1 return img_map, nx - def main(argv=None): - path = '.' - pattern = 'UNIONS_' - prefix_out = 'img_' + path = "." + pattern = "UNIONS_" + prefix_out = "img_" - files = glob.glob('{}/{}*.fits'.format(path, pattern)) + files = glob.glob("{}/{}*.fits".format(path, pattern)) for input_path in files: - output_path = '{}{}'.format(prefix_out, os.path.basename(input_path)) + output_path = "{}{}".format(prefix_out, os.path.basename(input_path)) hdu = fits.open(input_path) - image, nx = map_vignet(hdu[2].data['VIGNET'], 'float32') - print('file = {}, nx = {}'.format(input_path, nx)) + image, nx = map_vignet(hdu[2].data["VIGNET"], "float32") + print("file = {}, nx = {}".format(input_path, nx)) - fout = io.FITSCatalog(output_path, open_mode=io.BaseCatalog.OpenMode.ReadWrite) + fout = io.FITSCatalog( + output_path, open_mode=io.BaseCatalog.OpenMode.ReadWrite + ) fout.save_as_fits(image, image=True) return 0 - if __name__ == "__main__": sys.exit(main(sys.argv)) - diff --git a/setup.py b/setup.py index e5610581e..0d4c5c4c9 100644 --- a/setup.py +++ b/setup.py @@ -5,7 +5,7 @@ package_info = {} infopath = os.path.abspath( - os.path.join(os.path.dirname(__file__), 'shapepipe', 'info.py') + os.path.join(os.path.dirname(__file__), "shapepipe", "info.py") ) with open(infopath) as open_file: exec(open_file.read(), package_info) @@ -15,8 +15,8 @@ def find_scripts(): scripts = [] - scripts_dir = package_info['__scripts_dir__'] - valid_extensions = package_info['__scripts_ext__'] + scripts_dir = package_info["__scripts_dir__"] + valid_extensions = package_info["__scripts_ext__"] sub_dirs = ( os.path.join(scripts_dir, sub_dir) @@ -25,26 +25,29 @@ def find_scripts(): ) for sub_dir in sub_dirs: - scripts.extend([ - os.path.join(sub_dir, val) for val in os.listdir(sub_dir) - if os.path.isfile(os.path.join(sub_dir, val)) - and '__init__' not in val - and val.endswith(valid_extensions) - ]) + scripts.extend( + [ + os.path.join(sub_dir, val) + for val in os.listdir(sub_dir) + if os.path.isfile(os.path.join(sub_dir, val)) + and "__init__" not in val + and val.endswith(valid_extensions) + ] + ) return scripts setup( - name=package_info['__name__'], - author=package_info['__author__'], - author_email=package_info['__email__'], - version=package_info['__version__'], + name=package_info["__name__"], + author=package_info["__author__"], + author_email=package_info["__email__"], + version=package_info["__version__"], packages=find_packages(), scripts=find_scripts(), - setup_requires=package_info['__setups__'], - install_requires=package_info['__installs__'], - description='Galaxy shape measurement pipeline.', - long_description=package_info['__about__'], - tests_require=package_info['__tests__'], + setup_requires=package_info["__setups__"], + install_requires=package_info["__installs__"], + description="Galaxy shape measurement pipeline.", + long_description=package_info["__about__"], + tests_require=package_info["__tests__"], ) diff --git a/shapepipe/__init__.py b/shapepipe/__init__.py index 88d7a1dfd..1957a353f 100644 --- a/shapepipe/__init__.py +++ b/shapepipe/__init__.py @@ -6,7 +6,7 @@ """ -__all__ = ['modules', 'pipeline', 'utilities'] +__all__ = ["modules", "pipeline", "utilities"] from . import * from .info import __about__, __version__ diff --git a/shapepipe/info.py b/shapepipe/info.py index d230bcd7f..7ce7f1d77 100644 --- a/shapepipe/info.py +++ b/shapepipe/info.py @@ -16,28 +16,24 @@ # Package Info version_info = (1, 0, 1) -__version__ = '.'.join(str(c) for c in version_info) -__name__ = 'shapepipe' -__author__ = 'Samuel Farrens' -__email__ = 'samuel.farrens@cea.fr' +__version__ = ".".join(str(c) for c in version_info) +__name__ = "shapepipe" +__author__ = "Samuel Farrens" +__email__ = "samuel.farrens@cea.fr" __about__ = ( - 'ShapePipe is a shape measurement pipeline developed with the' - + 'CosmoStat lab at CEA Paris-Saclay.' + "ShapePipe is a shape measurement pipeline developed with the" + + "CosmoStat lab at CEA Paris-Saclay." ) -__setups__ = ['pytest-runner'] -__installs__ = [ - 'joblib>=0.13', - 'modopt>=1.2', - 'numpy>=1.14' -] +__setups__ = ["pytest-runner"] +__installs__ = ["joblib>=0.13", "modopt>=1.2", "numpy>=1.14"] __tests__ = [ - 'pytest', - 'pytest-cov', - 'pytest-pycodestyle', - 'pytest-pydocstyle', + "pytest", + "pytest-cov", + "pytest-pycodestyle", + "pytest-pydocstyle", ] -__scripts_dir__ = 'scripts' -__scripts_ext__ = ('.py', '.sh', '.bash') +__scripts_dir__ = "scripts" +__scripts_ext__ = (".py", ".sh", ".bash") def shapepipe_logo(colour=False): @@ -48,7 +44,7 @@ def shapepipe_logo(colour=False): str logo string """ - shape = r''' + shape = r""" _______ __ __ _______ _______ _______ _______ ___ _______ _______ | || | | || _ || || || || | | || | | _____|| |_| || |_| || _ || ___|| _ || | | _ || ___| @@ -56,12 +52,12 @@ def shapepipe_logo(colour=False): |_____ || || || ___|| ___|| ___|| | | ___|| ___| _____| || _ || _ || | | |___ | | | | | | | |___ |_______||__| |__||__| |__||___| |_______||___| |___| |___| |_______| - ''' + """ if not import_fail and colour: - shape = colored(shape, 'cyan', attrs=['bold']) + shape = colored(shape, "cyan", attrs=["bold"]) - logo = r''' + logo = r""" ------------------------------------------------------------------------------- {} @@ -82,7 +78,9 @@ def shapepipe_logo(colour=False): Version: {} ------------------------------------------------------------------------------- - '''.format(shape, __version__) + """.format( + shape, __version__ + ) return logo @@ -95,8 +93,8 @@ def line(): str a horizontal line """ - line = r''' + line = r""" ------------------------------------------------------------------------------- - ''' + """ return line diff --git a/shapepipe/modules/__init__.py b/shapepipe/modules/__init__.py index c440b44cf..5f3847899 100644 --- a/shapepipe/modules/__init__.py +++ b/shapepipe/modules/__init__.py @@ -11,8 +11,6 @@ # Get a list of all files and directories in the modules directory modules_dir = os.listdir(os.path.dirname(os.path.abspath(__file__))) # List all ShapePipe module packages -__all__ = [dir for dir in modules_dir if dir.endswith('_package')] +__all__ = [dir for dir in modules_dir if dir.endswith("_package")] # List all ShapePipe module runners -__module_list__ = [ - file for file in modules_dir if file.endswith('_runner.py') -] +__module_list__ = [file for file in modules_dir if file.endswith("_runner.py")] diff --git a/shapepipe/modules/execute_example_runner.py b/shapepipe/modules/execute_example_runner.py index d1555ea5d..2872d608c 100644 --- a/shapepipe/modules/execute_example_runner.py +++ b/shapepipe/modules/execute_example_runner.py @@ -11,12 +11,12 @@ @module_runner( - input_module='python_example_runner', - version='1.0', - file_pattern='pyex_output', - file_ext='.cat', - executes='head', - run_method='parallel', + input_module="python_example_runner", + version="1.0", + file_pattern="pyex_output", + file_ext=".cat", + executes="head", + run_method="parallel", ) def execute_example_runner( input_file_list, @@ -27,14 +27,14 @@ def execute_example_runner( w_log, ): """Define The Execute Example Runner.""" - command_line = f'head {input_file_list[0]}' + command_line = f"head {input_file_list[0]}" output_file_name = ( f'{run_dirs["output"]}/head_output{file_number_string}.txt' ) stdout, stderr = execute(command_line) - text_file = open(output_file_name, 'w') + text_file = open(output_file_name, "w") text_file.write(stdout) return stdout, stderr diff --git a/shapepipe/modules/find_exposures_package/__init__.py b/shapepipe/modules/find_exposures_package/__init__.py index 00653bf0b..6bb5d6344 100644 --- a/shapepipe/modules/find_exposures_package/__init__.py +++ b/shapepipe/modules/find_exposures_package/__init__.py @@ -32,4 +32,4 @@ Prefix of exposures """ -__all__ = ['find_exposures.py'] +__all__ = ["find_exposures.py"] diff --git a/shapepipe/modules/find_exposures_package/find_exposures.py b/shapepipe/modules/find_exposures_package/find_exposures.py index a3c8f7928..eab72801e 100644 --- a/shapepipe/modules/find_exposures_package/find_exposures.py +++ b/shapepipe/modules/find_exposures_package/find_exposures.py @@ -12,7 +12,7 @@ import astropy.io.fits as fits -class FindExposures(): +class FindExposures: """Find Exposures. This class finds exposures that are used for a given tile. @@ -49,7 +49,7 @@ def process(self): exp_list_uniq = self.get_exposure_list() # Write list to output ascii file - f_out = open(self._output_path, 'w') + f_out = open(self._output_path, "w") if len(exp_list_uniq) > 0: for exp in exp_list_uniq: print(exp, file=f_out) @@ -70,13 +70,13 @@ def get_exposure_list(self): try: # Get history from tiles FITS header hdu = fits.open(self._img_tile_path) - hist = hdu[0].header['HISTORY'] + hist = hdu[0].header["HISTORY"] except Exception: # Key word not found -> raise error self._w_log.info( - 'Error while reading tile image FITS file ' - + f'{self._img_tile_path}, continuing...' + "Error while reading tile image FITS file " + + f"{self._img_tile_path}, continuing..." ) exp_list = [] @@ -85,14 +85,14 @@ def get_exposure_list(self): # History entries have format as the following example: # "input image 2243881p.fits 6 extension(s)" for _hist in hist: - temp = _hist.split(' ') + temp = _hist.split(" ") - pattern = r'(.*)\.{1}.*' + pattern = r"(.*)\.{1}.*" pattern_match = re.search(pattern, temp[self._colnum]) if not pattern_match: raise IndexError( - f're match \'{pattern}\' failed for filename' - + f' \'{temp[self._colnum]}\'' + f"re match '{pattern}' failed for filename" + + f" '{temp[self._colnum]}'" ) exp_name = pattern_match.group(1) @@ -108,7 +108,7 @@ def get_exposure_list(self): # For log output n_exp_uniq = len(exp_list_uniq) n_duplicate = len(exp_list) - n_exp_uniq - self._w_log.info(f'Found {n_exp_uniq} exposures used in tile') - self._w_log.info(f'{n_duplicate} duplicates were removed') + self._w_log.info(f"Found {n_exp_uniq} exposures used in tile") + self._w_log.info(f"{n_duplicate} duplicates were removed") return exp_list_uniq diff --git a/shapepipe/modules/find_exposures_runner.py b/shapepipe/modules/find_exposures_runner.py index a7ea6b0be..a54d59dae 100644 --- a/shapepipe/modules/find_exposures_runner.py +++ b/shapepipe/modules/find_exposures_runner.py @@ -11,11 +11,11 @@ @module_runner( - version='1.1', - file_pattern=['image'], - file_ext='.fits', - depends=['numpy', 'astropy', 'sip_tpv'], - numbering_scheme='_0', + version="1.1", + file_pattern=["image"], + file_ext=".fits", + depends=["numpy", "astropy", "sip_tpv"], + numbering_scheme="_0", ) def find_exposures_runner( input_file_list, @@ -33,10 +33,10 @@ def find_exposures_runner( output_path = f'{run_dirs["output"]}/exp_numbers{file_number_string}.txt' # Give column number for exposure name in fits header - colnum = config.getint(module_config_sec, 'COLNUM') + colnum = config.getint(module_config_sec, "COLNUM") # Give the prefix of exposures - exp_prefix = config.get(module_config_sec, 'EXP_PREFIX') + exp_prefix = config.get(module_config_sec, "EXP_PREFIX") # Create find exposures class instance find_exp_inst = find_exposures.FindExposures( input_file_name, diff --git a/shapepipe/modules/get_images_package/__init__.py b/shapepipe/modules/get_images_package/__init__.py index 2c0b6b69c..d887b9f78 100644 --- a/shapepipe/modules/get_images_package/__init__.py +++ b/shapepipe/modules/get_images_package/__init__.py @@ -52,4 +52,4 @@ """ -__all__ = ['get_images.py'] +__all__ = ["get_images.py"] diff --git a/shapepipe/modules/get_images_package/get_images.py b/shapepipe/modules/get_images_package/get_images.py index d465d0719..631a876f2 100644 --- a/shapepipe/modules/get_images_package/get_images.py +++ b/shapepipe/modules/get_images_package/get_images.py @@ -58,12 +58,12 @@ def in2out_pattern(number): """ # replace dots ('.') with dashes ('-') to avoid confusion # with file extension delimiters - number_final = re.sub(r'\.', '-', number) + number_final = re.sub(r"\.", "-", number) # remove letters in number - number_final = re.sub('[a-zA-Z]', '', number_final) + number_final = re.sub("[a-zA-Z]", "", number_final) # make robust for more generalized file names - number_final = re.sub(r'_', '', number_final) + number_final = re.sub(r"_", "", number_final) return number_final @@ -149,12 +149,12 @@ def process(self, input_dir, output_dir): # List of unique input images flat_list = [item for sublist in all_image_numbers for item in sublist] - self._w_log.info(f'Number of total image IDs = {len(flat_list)}') + self._w_log.info(f"Number of total image IDs = {len(flat_list)}") # Get unique number list image_number_list = list(set(flat_list)) self._w_log.info( - f'Number of unique image IDs = {len(image_number_list)}' + f"Number of unique image IDs = {len(image_number_list)}" ) # Create array to make it compatible with input dir @@ -165,36 +165,31 @@ def process(self, input_dir, output_dir): # Check consistency of list lengths if any( - len(lst) != nitem for lst in [ + len(lst) != nitem + for lst in [ input_dir, self._input_file_pattern, self._input_file_ext, - self._output_file_pattern + self._output_file_pattern, ] ): raise ValueError( - f'Lists INPUT_PATH ({len(input_dir)}), ' - + f'INPUT_FILE_PATTERN ({len(self._input_file_pattern)}), ' - + f'INPUT_FILE_EXT ({len(self._input_file_ext)}), ' - + f'OUTPUT_FILE_PATTERN ({len(self._output_file_pattern)}) ' - + 'need to have equal length' + f"Lists INPUT_PATH ({len(input_dir)}), " + + f"INPUT_FILE_PATTERN ({len(self._input_file_pattern)}), " + + f"INPUT_FILE_EXT ({len(self._input_file_ext)}), " + + f"OUTPUT_FILE_PATTERN ({len(self._output_file_pattern)}) " + + "need to have equal length" ) # Assemble input and output file lists all_inputs = self.get_file_list( - image_number_list, - input_dir, - use_output_file_pattern=False + image_number_list, input_dir, use_output_file_pattern=False ) all_outputs_orig = self.get_file_list( - image_number_list, - output_dir, - use_output_file_pattern=False + image_number_list, output_dir, use_output_file_pattern=False ) all_outputs_renamed = self.get_file_list( - image_number_list, - output_dir, - use_output_file_pattern=True + image_number_list, output_dir, use_output_file_pattern=True ) # Retrieve files @@ -242,24 +237,22 @@ def get_file_list( # Keep initial dot in extension x = in_ext[1:] - x2 = re.sub(r'\.', '', x) + x2 = re.sub(r"\.", "", x) ext_final = in_ext[0] + x2 - fbase = ( - f'{self._output_file_pattern[idx]}{number_final}' - ) + fbase = f"{self._output_file_pattern[idx]}{number_final}" else: fbase = re.sub(self._input_numbering, number, in_pattern) ext_final = in_ext if ( use_output_file_pattern - and self._output_file_pattern[idx] == '*' + and self._output_file_pattern[idx] == "*" ): # retrieve all input files to output dir, do not append # extension fpath = in_path else: - fpath = f'{in_path}/{fbase}{ext_final}' + fpath = f"{in_path}/{fbase}{ext_final}" list_files_per_type.append(fpath) list_all_files.append(list_files_per_type) @@ -280,40 +273,38 @@ def retrieve(self, all_inputs, all_outputs_orig, all_outputs_renamed): """ for in_per_type, out_per_type_orig, out_per_type_renamed in zip( - all_inputs, - all_outputs_orig, - all_outputs_renamed + all_inputs, all_outputs_orig, all_outputs_renamed ): for idx in range(len(in_per_type)): if self._check_existing_dir: out_base = os.path.basename(out_per_type_orig[idx]) path = glob.glob( - f'{self._check_existing_dir}/**/{out_base}', + f"{self._check_existing_dir}/**/{out_base}", recursive=True, ) if path: if len(path) == self._n_expected: self._w_log.info( - f'{path[0]} found, skipping download' + f"{path[0]} found, skipping download" ) continue else: self._w_log.info( - f'{len(path)} instead of {self._n_expected} ' - + 'existing files found at' - + f' {self._check_existing_dir}' - + ', downloading images' + f"{len(path)} instead of {self._n_expected} " + + "existing files found at" + + f" {self._check_existing_dir}" + + ", downloading images" ) else: self._w_log.info( - 'No existing images found at' - + f' {self._check_existing_dir},' - + ' downloading images' + "No existing images found at" + + f" {self._check_existing_dir}," + + " downloading images" ) self.retrieve_one( in_per_type[idx], out_per_type_orig[idx], - out_per_type_renamed[idx] + out_per_type_renamed[idx], ) def retrieve_one(self, in_path, out_path_orig, out_path_renamed): @@ -329,17 +320,17 @@ def retrieve_one(self, in_path, out_path_orig, out_path_renamed): Output path """ - if self._retrieve_method == 'vos': + if self._retrieve_method == "vos": sys.argv = [] - sys.argv.append('vcp') + sys.argv.append("vcp") if self._retrieve_options: - for opt in self._retrieve_options.split(' '): + for opt in self._retrieve_options.split(" "): sys.argv.append(opt) sys.argv.append(in_path) sys.argv.append(out_path_orig) - log_cmd = ' '.join(sys.argv) - vcp = vosHandler('vcp') + log_cmd = " ".join(sys.argv) + vcp = vosHandler("vcp") self._w_log.info(log_cmd) # Download file from VOSpace @@ -348,15 +339,15 @@ def retrieve_one(self, in_path, out_path_orig, out_path_renamed): try: vcp() self._w_log.info( - 'Success of command vcp after ' - + f'{attempt}/{self._n_try} attempts' + "Success of command vcp after " + + f"{attempt}/{self._n_try} attempts" ) break except Exception: attempt += 1 self._w_log.info( - 'Error with command vcp, attempt ' - + f'{attempt}/{self._n_try}' + "Error with command vcp, attempt " + + f"{attempt}/{self._n_try}" ) sys.argv = None @@ -365,14 +356,14 @@ def retrieve_one(self, in_path, out_path_orig, out_path_renamed): # link name in ShapePipe numbering format os.symlink(out_path_orig, out_path_renamed) - elif self._retrieve_method == 'symlink': + elif self._retrieve_method == "symlink": src = in_path # Get all input file names if INPUT_FILE_PATTERN contains '*' all_src = glob.glob(src) if len(all_src) == 0: raise IndexError( - f'No input file found corresponding to \'{src}\'' + f"No input file found corresponding to '{src}'" ) dst = out_path_renamed @@ -380,7 +371,7 @@ def retrieve_one(self, in_path, out_path_orig, out_path_renamed): if os.path.isdir(dst): # OUTPUT_FILE_PATTERN is '*', so dst is not regular file # but directory. Append input file name - dst_name = f'{dst}/{os.path.basename(src)}' + dst_name = f"{dst}/{os.path.basename(src)}" else: # dst is regular file dst_name = dst diff --git a/shapepipe/modules/get_images_runner.py b/shapepipe/modules/get_images_runner.py index 2f5dbd1eb..fb25e0e8b 100644 --- a/shapepipe/modules/get_images_runner.py +++ b/shapepipe/modules/get_images_runner.py @@ -11,10 +11,10 @@ @module_runner( - version='1.1', - depends=['numpy'], - run_method='serial', - numbering_scheme='_0', + version="1.1", + depends=["numpy"], + run_method="serial", + numbering_scheme="_0", ) def get_images_runner( input_file_list, @@ -28,57 +28,48 @@ def get_images_runner( # Read config file section # Copy/download method - retrieve_method = config.get(module_config_sec, 'RETRIEVE') - retrieve_ok = ['vos', 'symlink'] + retrieve_method = config.get(module_config_sec, "RETRIEVE") + retrieve_ok = ["vos", "symlink"] if retrieve_method not in retrieve_ok: raise ValueError( - f'key RETRIEVE={retrieve_method} is invalid, ' - + f'must be in {retrieve_ok}' + f"key RETRIEVE={retrieve_method} is invalid, " + + f"must be in {retrieve_ok}" ) - if config.has_option(module_config_sec, 'RETRIEVE_OPTIONS'): + if config.has_option(module_config_sec, "RETRIEVE_OPTIONS"): retrieve_options = config.getexpanded( - module_config_sec, - 'RETRIEVE_OPTIONS' + module_config_sec, "RETRIEVE_OPTIONS" ) else: retrieve_options = None - if config.has_option(module_config_sec, 'N_TRY'): - n_try = config.getint(module_config_sec, 'N_TRY') + if config.has_option(module_config_sec, "N_TRY"): + n_try = config.getint(module_config_sec, "N_TRY") else: n_try = 3 # Paths - input_dir = config.getlist(module_config_sec, 'INPUT_PATH') - input_file_pattern = config.getlist( - module_config_sec, - 'INPUT_FILE_PATTERN' - ) - input_file_ext = config.getlist( - module_config_sec, - 'INPUT_FILE_EXT' - ) + input_dir = config.getlist(module_config_sec, "INPUT_PATH") + input_file_pattern = config.getlist(module_config_sec, "INPUT_FILE_PATTERN") + input_file_ext = config.getlist(module_config_sec, "INPUT_FILE_EXT") output_file_pattern = config.getlist( - module_config_sec, - 'OUTPUT_FILE_PATTERN' + module_config_sec, "OUTPUT_FILE_PATTERN" ) - input_numbering = config.get(module_config_sec, 'INPUT_NUMBERING') + input_numbering = config.get(module_config_sec, "INPUT_NUMBERING") - if config.has_option(module_config_sec, 'OUTPUT_PATH'): - output_dir = config.getexpanded(module_config_sec, 'OUTPUT_PATH') + if config.has_option(module_config_sec, "OUTPUT_PATH"): + output_dir = config.getexpanded(module_config_sec, "OUTPUT_PATH") else: - output_dir = run_dirs['output'] + output_dir = run_dirs["output"] # Flags to check for already retrieved files - if config.has_option(module_config_sec, 'CHECK_EXISTING_DIR'): + if config.has_option(module_config_sec, "CHECK_EXISTING_DIR"): check_existing_dir = config.getexpanded( - module_config_sec, - 'CHECK_EXISTING_DIR' + module_config_sec, "CHECK_EXISTING_DIR" ) - if config.has_option(module_config_sec, 'N_EXPECTED'): - n_expected = config.getint(module_config_sec, 'N_EXPECTED') + if config.has_option(module_config_sec, "N_EXPECTED"): + n_expected = config.getint(module_config_sec, "N_EXPECTED") else: n_expected = 1 else: diff --git a/shapepipe/modules/make_cat_package/__init__.py b/shapepipe/modules/make_cat_package/__init__.py index 53d802a9d..1bd1cee5b 100644 --- a/shapepipe/modules/make_cat_package/__init__.py +++ b/shapepipe/modules/make_cat_package/__init__.py @@ -52,4 +52,4 @@ """ -__all__ = ['make_cat'] +__all__ = ["make_cat"] diff --git a/shapepipe/modules/make_cat_package/make_cat.py b/shapepipe/modules/make_cat_package/make_cat.py index 4e30e3552..e9b246a74 100644 --- a/shapepipe/modules/make_cat_package/make_cat.py +++ b/shapepipe/modules/make_cat_package/make_cat.py @@ -37,9 +37,7 @@ def prepare_final_cat_file(output_path, file_number_string): Output FITS file """ - output_name = ( - f'{output_path}/final_cat{file_number_string}.fits' - ) + output_name = f"{output_path}/final_cat{file_number_string}.fits" return file_io.FITSCatalogue( output_name, @@ -91,19 +89,23 @@ def save_sextractor_data(final_cat_file, sexcat_path, remove_vignet=True): sexcat_file.open() data = np.copy(sexcat_file.get_data()) if remove_vignet: - data = remove_field_name(data, 'VIGNET') + data = remove_field_name(data, "VIGNET") - final_cat_file.save_as_fits(data, ext_name='RESULTS') + final_cat_file.save_as_fits(data, ext_name="RESULTS") cat_size = len(data) - tile_id = float('.'.join( - re.split('-', os.path.splitext(os.path.split(sexcat_path)[1])[0])[1:] - )) + tile_id = float( + ".".join( + re.split("-", os.path.splitext(os.path.split(sexcat_path)[1])[0])[ + 1: + ] + ) + ) tile_id_array = np.ones(cat_size) * tile_id final_cat_file.open() - final_cat_file.add_col('TILE_ID', tile_id_array) + final_cat_file.add_col("TILE_ID", tile_id_array) sexcat_file.close() @@ -142,21 +144,21 @@ def save_sm_data( sexcat_sm_file = file_io.FITSCatalogue(sexcat_sm_path, SEx_catalogue=True) sexcat_sm_file.open() - sm = np.copy(sexcat_sm_file.get_data()['SPREAD_MODEL']) - sm_err = np.copy(sexcat_sm_file.get_data()['SPREADERR_MODEL']) + sm = np.copy(sexcat_sm_file.get_data()["SPREAD_MODEL"]) + sm_err = np.copy(sexcat_sm_file.get_data()["SPREADERR_MODEL"]) sexcat_sm_file.close() - final_cat_file.add_col('SPREAD_MODEL', sm) - final_cat_file.add_col('SPREADERR_MODEL', sm_err) + final_cat_file.add_col("SPREAD_MODEL", sm) + final_cat_file.add_col("SPREADERR_MODEL", sm_err) if do_classif: - obj_flag = np.ones_like(sm, dtype='int16') * 2 + obj_flag = np.ones_like(sm, dtype="int16") * 2 classif = sm + 2.0 * sm_err obj_flag[np.where(np.abs(classif) < star_thresh)] = 0 obj_flag[np.where(classif > gal_thresh)] = 1 - final_cat_file.add_col('SPREAD_CLASS', obj_flag) + final_cat_file.add_col("SPREAD_CLASS", obj_flag) final_cat_file.close() @@ -179,7 +181,7 @@ def __init__(self, final_cat_file): def process( self, - mode='', + mode="", cat_path=None, moments=False, ): @@ -198,17 +200,17 @@ def process( self._output_dict = {} self.final_cat_file.open() - self._obj_id = np.copy(self.final_cat_file.get_data()['NUMBER']) + self._obj_id = np.copy(self.final_cat_file.get_data()["NUMBER"]) - if mode == 'ngmix': + if mode == "ngmix": self._save_ngmix_data(cat_path, moments) - elif mode == 'galsim': + elif mode == "galsim": self._save_galsim_shapes(cat_path) - elif mode == 'psf': + elif mode == "psf": self._save_psf_data(cat_path) else: raise ValueError( - f'Invalid process mode ({mode}) for ' + f"Invalid process mode ({mode}) for " + '``make_cat.Savecatalogue``. Options are "ngmix", ' + '"galsim" or "psf".' ) @@ -234,9 +236,9 @@ def _update_dict(self, key_string, value): self._output_dict = { **self._output_dict, **{ - f'{key_string}{key_end}': np.copy(value) + f"{key_string}{key_end}": np.copy(value) for key_end in self._key_ends - } + }, } def _add2dict(self, key, value, index=None): @@ -270,55 +272,55 @@ def _save_ngmix_data(self, ngmix_cat_path, moments=False): Path to NGMIX catalogue """ - self._key_ends = ['1M', '1P', '2M', '2P', 'NOSHEAR'] + self._key_ends = ["1M", "1P", "2M", "2P", "NOSHEAR"] ngmix_cat_file = file_io.FITSCatalogue(ngmix_cat_path) ngmix_cat_file.open() - ngmix_n_epoch = ngmix_cat_file.get_data()['n_epoch_model'] - ngmix_mom_fail = ngmix_cat_file.get_data()['moments_fail'] + ngmix_n_epoch = ngmix_cat_file.get_data()["n_epoch_model"] + ngmix_mom_fail = ngmix_cat_file.get_data()["moments_fail"] if moments: - m = 'm' + m = "m" else: - m = '' + m = "" - ngmix_mcal_flags = ngmix_cat_file.get_data()['mcal_flags'] - ngmix_id = ngmix_cat_file.get_data()['id'] + ngmix_mcal_flags = ngmix_cat_file.get_data()["mcal_flags"] + ngmix_id = ngmix_cat_file.get_data()["id"] - self._add2dict('NGMIX_N_EPOCH', np.zeros(len(self._obj_id))) - self._add2dict('NGMIX_MOM_FAIL', np.zeros(len(self._obj_id))) + self._add2dict("NGMIX_N_EPOCH", np.zeros(len(self._obj_id))) + self._add2dict("NGMIX_MOM_FAIL", np.zeros(len(self._obj_id))) - prefix = f'NGMIX{m}' + prefix = f"NGMIX{m}" for key_str in ( - f'{prefix}_T_', - f'{prefix}_Tpsf_', - f'{prefix}_SNR_', - f'{prefix}_FLUX_', - f'{prefix}_MAG_', - f'{prefix}_FLAGS_', - f'{prefix}_T_PSFo_', + f"{prefix}_T_", + f"{prefix}_Tpsf_", + f"{prefix}_SNR_", + f"{prefix}_FLUX_", + f"{prefix}_MAG_", + f"{prefix}_FLAGS_", + f"{prefix}_T_PSFo_", ): self._update_dict(key_str, np.zeros(len(self._obj_id))) - for key_str in (f'NGMIX{m}_FLUX_ERR_', f'NGMIX{m}_MAG_ERR_'): + for key_str in (f"NGMIX{m}_FLUX_ERR_", f"NGMIX{m}_MAG_ERR_"): self._update_dict(key_str, np.ones(len(self._obj_id)) * -1) for key_str in ( - f'NGMIX{m}_ELL_', - f'NGMIX{m}_ELL_ERR_', - f'NGMIX{m}_ELL_PSFo_' + f"NGMIX{m}_ELL_", + f"NGMIX{m}_ELL_ERR_", + f"NGMIX{m}_ELL_PSFo_", ): self._update_dict(key_str, np.ones((len(self._obj_id), 2)) * -10.0) self._update_dict( - f'NGMIX{m}_T_ERR_', + f"NGMIX{m}_T_ERR_", np.ones(len(self._obj_id)) * 1e30, ) - self._add2dict(f'NGMIX{m}_MCAL_FLAGS', np.zeros(len(self._obj_id))) + self._add2dict(f"NGMIX{m}_MCAL_FLAGS", np.zeros(len(self._obj_id))) for idx, _ in enumerate(self._obj_id): for key in self._key_ends: - x = self._output_dict[f'NGMIX{m}_ELL_{key}'][idx] - if np.all(x != np.array([-10., -10.])): + x = self._output_dict[f"NGMIX{m}_ELL_{key}"][idx] + if np.all(x != np.array([-10.0, -10.0])): print(x) for idx, id_tmp in enumerate(self._obj_id): @@ -329,61 +331,61 @@ def _save_ngmix_data(self, ngmix_cat_path, moments=False): ncf_data = ngmix_cat_file.get_data(key) - g = (ncf_data['g1'][ind[0]], ncf_data['g2'][ind[0]]) + g = (ncf_data["g1"][ind[0]], ncf_data["g2"][ind[0]]) g_err = ( - ncf_data['g1_err'][ind[0]], - ncf_data['g2_err'][ind[0]] + ncf_data["g1_err"][ind[0]], + ncf_data["g2_err"][ind[0]], ) - self._add2dict(f'NGMIX{m}_ELL_{key}', g, idx) - self._add2dict(f'NGMIX{m}_ELL_ERR_{key}', g_err, idx) + self._add2dict(f"NGMIX{m}_ELL_{key}", g, idx) + self._add2dict(f"NGMIX{m}_ELL_ERR_{key}", g_err, idx) - t = ncf_data['T'][ind[0]] - t_err = ncf_data['T_err'][ind[0]] - tpsf = ncf_data['Tpsf'][ind[0]] - self._add2dict(f'NGMIX{m}_T_{key}', t, idx) - self._add2dict(f'NGMIX{m}_T_ERR_{key}', t_err, idx) - self._add2dict(f'NGMIX{m}_Tpsf_{key}', tpsf, idx) + t = ncf_data["T"][ind[0]] + t_err = ncf_data["T_err"][ind[0]] + tpsf = ncf_data["Tpsf"][ind[0]] + self._add2dict(f"NGMIX{m}_T_{key}", t, idx) + self._add2dict(f"NGMIX{m}_T_ERR_{key}", t_err, idx) + self._add2dict(f"NGMIX{m}_Tpsf_{key}", tpsf, idx) - s2n = ncf_data['s2n'][ind[0]] - self._add2dict(f'NGMIX{m}_SNR_{key}', s2n, idx) + s2n = ncf_data["s2n"][ind[0]] + self._add2dict(f"NGMIX{m}_SNR_{key}", s2n, idx) - flux = ncf_data['flux'][ind[0]] - flux_err = ncf_data['flux_err'][ind[0]] - self._add2dict(f'NGMIX{m}_FLUX_{key}', flux, idx) - self._add2dict(f'NGMIX{m}_FLUX_ERR_{key}', flux_err, idx) + flux = ncf_data["flux"][ind[0]] + flux_err = ncf_data["flux_err"][ind[0]] + self._add2dict(f"NGMIX{m}_FLUX_{key}", flux, idx) + self._add2dict(f"NGMIX{m}_FLUX_ERR_{key}", flux_err, idx) - mag = ncf_data['mag'][ind[0]] - mag_err = ncf_data['mag_err'][ind[0]] - self._add2dict(f'NGMIX{m}_MAG_{key}', mag, idx) - self._add2dict(f'NGMIX{m}_MAG_ERR_{key}', mag_err, idx) + mag = ncf_data["mag"][ind[0]] + mag_err = ncf_data["mag_err"][ind[0]] + self._add2dict(f"NGMIX{m}_MAG_{key}", mag, idx) + self._add2dict(f"NGMIX{m}_MAG_ERR_{key}", mag_err, idx) - flags = ncf_data['flags'][ind[0]] - self._add2dict(f'NGMIX{m}_FLAGS_{key}', flags, idx) + flags = ncf_data["flags"][ind[0]] + self._add2dict(f"NGMIX{m}_FLAGS_{key}", flags, idx) g_psf = ( - ncf_data['g1_psfo_ngmix'][ind[0]], - ncf_data['g2_psfo_ngmix'][ind[0]] + ncf_data["g1_psfo_ngmix"][ind[0]], + ncf_data["g2_psfo_ngmix"][ind[0]], ) - self._add2dict(f'NGMIX{m}_ELL_PSFo_{key}', g_psf, idx) + self._add2dict(f"NGMIX{m}_ELL_PSFo_{key}", g_psf, idx) - t_psfo = ncf_data['T_psfo_ngmix'][ind[0]] - self._add2dict(f'NGMIX{m}_T_PSFo_{key}', t_psfo, idx) + t_psfo = ncf_data["T_psfo_ngmix"][ind[0]] + self._add2dict(f"NGMIX{m}_T_PSFo_{key}", t_psfo, idx) self._add2dict( - f'NGMIX{m}_MCAL_FLAGS', + f"NGMIX{m}_MCAL_FLAGS", ngmix_mcal_flags[ind[0]], idx, ) if not moments: self._add2dict( - f'NGMIX{m}_N_EPOCH', + f"NGMIX{m}_N_EPOCH", ngmix_n_epoch[ind[0]], idx, ) self._add2dict( - f'NGMIX{m}_MOM_FAIL', + f"NGMIX{m}_MOM_FAIL", ngmix_mom_fail[ind[0]], idx, ) @@ -406,27 +408,27 @@ def _save_galsim_shapes(self, galsim_cat_path): self._key_ends = galsim_cat_file.get_ext_name()[1:] - galsim_id = galsim_cat_file.get_data()['id'] + galsim_id = galsim_cat_file.get_data()["id"] for key_str in ( - 'GALSIM_GAL_SIGMA_', - 'GALSIM_PSF_SIGMA_', - 'GALSIM_FLUX_', - 'GALSIM_MAG_', + "GALSIM_GAL_SIGMA_", + "GALSIM_PSF_SIGMA_", + "GALSIM_FLUX_", + "GALSIM_MAG_", ): self._update_dict(key_str, np.zeros(len(self._obj_id))) - for key_str in ('GALSIM_FLUX_ERR_', 'GALSIM_MAG_ERR_', 'GALSIM_RES_'): + for key_str in ("GALSIM_FLUX_ERR_", "GALSIM_MAG_ERR_", "GALSIM_RES_"): self._update_dict(key_str, np.ones(len(self._obj_id)) * -1) for key_str in ( - 'GALSIM_GAL_ELL_', - 'GALSIM_GAL_ELL_ERR_', - 'GALSIM_GAL_ELL_UNCORR_', - 'GALSIM_PSF_ELL_' + "GALSIM_GAL_ELL_", + "GALSIM_GAL_ELL_ERR_", + "GALSIM_GAL_ELL_UNCORR_", + "GALSIM_PSF_ELL_", ): self._update_dict(key_str, np.ones((len(self._obj_id), 2)) * -10.0) self._update_dict( - 'GALSIM_FLAGS_', - np.ones(len(self._obj_id), dtype='int16'), + "GALSIM_FLAGS_", + np.ones(len(self._obj_id), dtype="int16"), ) for idx, id_tmp in enumerate(self._obj_id): @@ -437,69 +439,69 @@ def _save_galsim_shapes(self, galsim_cat_path): gcf_data = galsim_cat_file.get_data(key) - if key == 'ORIGINAL_PSF': + if key == "ORIGINAL_PSF": uncorr_g = ( - gcf_data['gal_uncorr_g1'][ind[0]], - gcf_data['gal_uncorr_g2'][ind[0]] + gcf_data["gal_uncorr_g1"][ind[0]], + gcf_data["gal_uncorr_g2"][ind[0]], ) - psf_sig = gcf_data['gal_sigma'][ind[0]] - self._add2dict(f'GALSIM_PSF_ELL_{key}', uncorr_g, idx) - self._add2dict(f'GALSIM_PSF_SIGMA_{key}', psf_sig, idx) + psf_sig = gcf_data["gal_sigma"][ind[0]] + self._add2dict(f"GALSIM_PSF_ELL_{key}", uncorr_g, idx) + self._add2dict(f"GALSIM_PSF_SIGMA_{key}", psf_sig, idx) else: g = ( - gcf_data['gal_g1'][ind[0]], - gcf_data['gal_g2'][ind[0]] + gcf_data["gal_g1"][ind[0]], + gcf_data["gal_g2"][ind[0]], ) g_err = ( - gcf_data['gal_g1_err'][ind[0]], - gcf_data['gal_g2_err'][ind[0]] + gcf_data["gal_g1_err"][ind[0]], + gcf_data["gal_g2_err"][ind[0]], ) - self._add2dict(f'GALSIM_GAL_ELL_{key}', g, idx) - self._add2dict(f'GALSIM_GAL_ELL_ERR_{key}', g_err, idx) + self._add2dict(f"GALSIM_GAL_ELL_{key}", g, idx) + self._add2dict(f"GALSIM_GAL_ELL_ERR_{key}", g_err, idx) uncorr_g = ( - gcf_data['gal_uncorr_g1'][ind[0]], - gcf_data['gal_uncorr_g2'][ind[0]], + gcf_data["gal_uncorr_g1"][ind[0]], + gcf_data["gal_uncorr_g2"][ind[0]], ) self._add2dict( - f'GALSIM_GAL_ELL_UNCORR_{key}', + f"GALSIM_GAL_ELL_UNCORR_{key}", uncorr_g, idx, ) - sigma = gcf_data['gal_sigma'][ind[0]] - self._add2dict(f'GALSIM_GAL_SIGMA_{key}', sigma, idx) + sigma = gcf_data["gal_sigma"][ind[0]] + self._add2dict(f"GALSIM_GAL_SIGMA_{key}", sigma, idx) psf_g = ( - gcf_data['psf_g1'][ind[0]], - gcf_data['psf_g2'][ind[0]] + gcf_data["psf_g1"][ind[0]], + gcf_data["psf_g2"][ind[0]], ) - psf_sigma = gcf_data['psf_sigma'][ind[0]] - self._add2dict(f'GALSIM_PSF_ELL_{key}', psf_g, idx) + psf_sigma = gcf_data["psf_sigma"][ind[0]] + self._add2dict(f"GALSIM_PSF_ELL_{key}", psf_g, idx) self._add2dict( - f'GALSIM_PSF_SIGMA_{key}', + f"GALSIM_PSF_SIGMA_{key}", psf_sigma, idx, ) - flux = gcf_data['gal_flux'][ind[0]] - flux_err = gcf_data['gal_flux_err'][ind[0]] - self._add2dict(f'GALSIM_FLUX_{key}', flux, idx) - self._add2dict(f'GALSIM_FLUX_ERR_{key}', flux_err, idx) + flux = gcf_data["gal_flux"][ind[0]] + flux_err = gcf_data["gal_flux_err"][ind[0]] + self._add2dict(f"GALSIM_FLUX_{key}", flux, idx) + self._add2dict(f"GALSIM_FLUX_ERR_{key}", flux_err, idx) - mag = gcf_data['gal_mag'][ind[0]] - mag_err = gcf_data['gal_mag_err'][ind[0]] - self._add2dict(f'GALSIM_MAG_{key}', mag, idx) - self._add2dict(f'GALSIM_MAG_ERR_{key}', mag_err, idx) + mag = gcf_data["gal_mag"][ind[0]] + mag_err = gcf_data["gal_mag_err"][ind[0]] + self._add2dict(f"GALSIM_MAG_{key}", mag, idx) + self._add2dict(f"GALSIM_MAG_ERR_{key}", mag_err, idx) - flags = gcf_data['gal_flag'][ind[0]] - self._add2dict(f'GALSIM_FLAGS_{key}', flags, idx) + flags = gcf_data["gal_flag"][ind[0]] + self._add2dict(f"GALSIM_FLAGS_{key}", flags, idx) - res = gcf_data['gal_resolution'][ind[0]] - self._add2dict(f'GALSIM_RES_{key}', res, idx) + res = gcf_data["gal_resolution"][ind[0]] + self._add2dict(f"GALSIM_RES_{key}", res, idx) galsim_cat_file.close() @@ -516,53 +518,51 @@ def _save_psf_data(self, galaxy_psf_path): """ galaxy_psf_cat = SqliteDict(galaxy_psf_path) - max_epoch = np.max(self.final_cat_file.get_data()['N_EPOCH']) + 1 + max_epoch = np.max(self.final_cat_file.get_data()["N_EPOCH"]) + 1 self._output_dict = { - f'PSF_ELL_{idx + 1}': np.ones((len(self._obj_id), 2)) * -10. + f"PSF_ELL_{idx + 1}": np.ones((len(self._obj_id), 2)) * -10.0 for idx in range(max_epoch) } self._output_dict = { **self._output_dict, **{ - f'PSF_FWHM_{idx + 1}': np.zeros(len(self._obj_id)) + f"PSF_FWHM_{idx + 1}": np.zeros(len(self._obj_id)) for idx in range(max_epoch) - } + }, } self._output_dict = { **self._output_dict, **{ - f'PSF_FLAG_{idx + 1}': np.ones( - len(self._obj_id), dtype='int16' - ) + f"PSF_FLAG_{idx + 1}": np.ones(len(self._obj_id), dtype="int16") for idx in range(max_epoch) - } + }, } for idx, id_tmp in enumerate(self._obj_id): - if galaxy_psf_cat[str(id_tmp)] == 'empty': + if galaxy_psf_cat[str(id_tmp)] == "empty": continue for epoch, key in enumerate(galaxy_psf_cat[str(id_tmp)].keys()): gpc_data = galaxy_psf_cat[str(id_tmp)][key] - if gpc_data['SHAPES']['FLAG_PSF_HSM'] != 0: + if gpc_data["SHAPES"]["FLAG_PSF_HSM"] != 0: continue e_psf = ( - gpc_data['SHAPES']['E1_PSF_HSM'], - gpc_data['SHAPES']['E2_PSF_HSM'] + gpc_data["SHAPES"]["E1_PSF_HSM"], + gpc_data["SHAPES"]["E2_PSF_HSM"], ) - self._add2dict(f'PSF_ELL_{epoch + 1}', e_psf, idx) + self._add2dict(f"PSF_ELL_{epoch + 1}", e_psf, idx) psf_fwhm = galaxy.sigma_to_fwhm( - gpc_data['SHAPES']['SIGMA_PSF_HSM'] + gpc_data["SHAPES"]["SIGMA_PSF_HSM"] ) - self._add2dict(f'PSF_FWHM_{epoch + 1}', psf_fwhm, idx) + self._add2dict(f"PSF_FWHM_{epoch + 1}", psf_fwhm, idx) - flag_psf = gpc_data['SHAPES']['FLAG_PSF_HSM'] - self._add2dict(f'PSF_FLAG_{epoch + 1}', flag_psf, idx) + flag_psf = gpc_data["SHAPES"]["FLAG_PSF_HSM"] + self._add2dict(f"PSF_FLAG_{epoch + 1}", flag_psf, idx) galaxy_psf_cat.close() diff --git a/shapepipe/modules/make_cat_runner.py b/shapepipe/modules/make_cat_runner.py index 8b6351e2e..f36209f42 100644 --- a/shapepipe/modules/make_cat_runner.py +++ b/shapepipe/modules/make_cat_runner.py @@ -11,21 +11,21 @@ @module_runner( - version='1.1', + version="1.1", input_module=[ - 'sextractor_runner', - 'spread_model_runner', - 'psfex_interp_runner', - 'ngmix_runner', + "sextractor_runner", + "spread_model_runner", + "psfex_interp_runner", + "ngmix_runner", ], file_pattern=[ - 'tile_sexcat', - 'sexcat_sm', - 'galaxy_psf', - 'ngmix', + "tile_sexcat", + "sexcat_sm", + "galaxy_psf", + "ngmix", ], - file_ext=['.fits', '.fits', '.sqlite', '.fits'], - depends=['numpy', 'sqlitedict'], + file_ext=[".fits", ".fits", ".sqlite", ".fits"], + depends=["numpy", "sqlitedict"], ) def make_cat_runner( input_file_list, @@ -49,11 +49,11 @@ def make_cat_runner( # Fetch classification options do_classif = config.getboolean( module_config_sec, - 'SM_DO_CLASSIFICATION', + "SM_DO_CLASSIFICATION", ) if do_classif: - star_thresh = config.getfloat(module_config_sec, 'SM_STAR_THRESH') - gal_thresh = config.getfloat(module_config_sec, 'SM_GAL_THRESH') + star_thresh = config.getfloat(module_config_sec, "SM_STAR_THRESH") + gal_thresh = config.getfloat(module_config_sec, "SM_GAL_THRESH") else: star_thresh = None gal_thresh = None @@ -61,32 +61,32 @@ def make_cat_runner( # Fetch shape measurement type shape_type_list = config.getlist( module_config_sec, - 'SHAPE_MEASUREMENT_TYPE', + "SHAPE_MEASUREMENT_TYPE", ) for shape_type in shape_type_list: - if shape_type.lower() not in ['ngmix', 'galsim']: + if shape_type.lower() not in ["ngmix", "galsim"]: raise ValueError( - 'SHAPE_MEASUREMENT_TYPE must be in [ngmix, galsim]' + "SHAPE_MEASUREMENT_TYPE must be in [ngmix, galsim]" ) # Fetch PSF data option - if config.has_option(module_config_sec, 'SAVE_PSF_DATA'): - save_psf = config.getboolean(module_config_sec, 'SAVE_PSF_DATA') + if config.has_option(module_config_sec, "SAVE_PSF_DATA"): + save_psf = config.getboolean(module_config_sec, "SAVE_PSF_DATA") else: save_psf = False # Set final output file final_cat_file = make_cat.prepare_final_cat_file( - run_dirs['output'], + run_dirs["output"], file_number_string, ) # Save SExtractor data - w_log.info('Save SExtractor data') + w_log.info("Save SExtractor data") make_cat.save_sextractor_data(final_cat_file, tile_sexcat_path) # Save spread-model data - w_log.info('Save spread-model data') + w_log.info("Save spread-model data") make_cat.save_sm_data( final_cat_file, sexcat_sm_path, @@ -97,15 +97,15 @@ def make_cat_runner( # Save shape data sc_inst = make_cat.SaveCatalogue(final_cat_file) - w_log.info('Save shape measurement data') + w_log.info("Save shape measurement data") for shape_type in shape_type_list: - w_log.info(f'Save {shape_type.lower()} data') + w_log.info(f"Save {shape_type.lower()} data") cat_path = ( - shape2_cat_path if shape_type == 'galsim' else shape1_cat_path + shape2_cat_path if shape_type == "galsim" else shape1_cat_path ) sc_inst.process(shape_type.lower(), cat_path) if save_psf: - sc_inst.process('psf', galaxy_psf_path) + sc_inst.process("psf", galaxy_psf_path) # No return objects return None, None diff --git a/shapepipe/modules/mask_package/__init__.py b/shapepipe/modules/mask_package/__init__.py index ccd55fa9a..bdfece65b 100644 --- a/shapepipe/modules/mask_package/__init__.py +++ b/shapepipe/modules/mask_package/__init__.py @@ -182,4 +182,4 @@ """ -__all__ = ['mask'] +__all__ = ["mask"] diff --git a/shapepipe/modules/mask_package/mask.py b/shapepipe/modules/mask_package/mask.py index 23ca9f034..dfd68e4e3 100644 --- a/shapepipe/modules/mask_package/mask.py +++ b/shapepipe/modules/mask_package/mask.py @@ -65,7 +65,7 @@ def __init__( output_dir, w_log, path_external_flag=None, - outname_base='flag', + outname_base="flag", check_existing_dir=None, star_cat_path=None, hdu=0, @@ -78,10 +78,10 @@ def __init__( self._weight_fullpath = weight_path # Input image prefix - if (image_prefix.lower() != 'none') and (image_prefix != ''): - self._img_prefix = f'{image_prefix}_' + if (image_prefix.lower() != "none") and (image_prefix != ""): + self._img_prefix = f"{image_prefix}_" else: - self._img_prefix = '' + self._img_prefix = "" # File number identified self._img_number = image_num @@ -119,7 +119,6 @@ def __init__( # Set error flag self._err = False - def _get_config(self): """Get Config. @@ -134,141 +133,136 @@ def _get_config(self): """ if self._config_filepath is None: - raise ValueError('No path to config file given') + raise ValueError("No path to config file given") if not os.path.exists(self._config_filepath): - raise IOError( - f'Config file "{self._config_filepath}" not found' - ) + raise IOError(f'Config file "{self._config_filepath}" not found') conf = CustomParser() conf.read(self._config_filepath) self._config = { - 'PATH': {}, - 'BORDER': {}, - 'HALO': {}, - 'SPIKE': {}, - 'MESSIER': {}, - 'NGC': {}, - 'MD': {}, + "PATH": {}, + "BORDER": {}, + "HALO": {}, + "SPIKE": {}, + "MESSIER": {}, + "NGC": {}, + "MD": {}, } - if conf.has_option('PROGRAM_PATH', 'WW_PATH'): - self._config['PATH']['WW'] = ( - conf.getexpanded('PROGRAM_PATH', 'WW_PATH') + if conf.has_option("PROGRAM_PATH", "WW_PATH"): + self._config["PATH"]["WW"] = conf.getexpanded( + "PROGRAM_PATH", "WW_PATH" ) else: - self._config['PATH']['WW'] = 'ww' - self._config['PATH']['WW_configfile'] = ( - conf.getexpanded('PROGRAM_PATH', 'WW_CONFIG_FILE') + self._config["PATH"]["WW"] = "ww" + self._config["PATH"]["WW_configfile"] = conf.getexpanded( + "PROGRAM_PATH", "WW_CONFIG_FILE" ) - if conf.has_option('PROGRAM_PATH', 'CDSCLIENT_PATH'): - self._config['PATH']['CDSclient'] = ( - conf.getexpanded('PROGRAM_PATH', 'CDSCLIENT_PATH') + if conf.has_option("PROGRAM_PATH", "CDSCLIENT_PATH"): + self._config["PATH"]["CDSclient"] = conf.getexpanded( + "PROGRAM_PATH", "CDSCLIENT_PATH" ) elif self._star_cat_path is not None: - self._config['PATH']['star_cat'] = self._star_cat_path + self._config["PATH"]["star_cat"] = self._star_cat_path else: raise ValueError( - 'Either [PROGRAM_PATH]:CDSCLIENT_PATH in the mask config file ' - + ' or a star catalogue as module input needs to be present' + "Either [PROGRAM_PATH]:CDSCLIENT_PATH in the mask config file " + + " or a star catalogue as module input needs to be present" ) - self._config['PATH']['temp_dir'] = self._get_temp_dir_path( - conf.getexpanded('OTHER', 'TEMP_DIRECTORY') + self._config["PATH"]["temp_dir"] = self._get_temp_dir_path( + conf.getexpanded("OTHER", "TEMP_DIRECTORY") ) - self._config['BORDER']['make'] = ( - conf.getboolean('BORDER_PARAMETERS', 'BORDER_MAKE') + self._config["BORDER"]["make"] = conf.getboolean( + "BORDER_PARAMETERS", "BORDER_MAKE" ) - if self._config['BORDER']['make']: - self._config['BORDER']['width'] = ( - conf.getint('BORDER_PARAMETERS', 'BORDER_WIDTH') + if self._config["BORDER"]["make"]: + self._config["BORDER"]["width"] = conf.getint( + "BORDER_PARAMETERS", "BORDER_WIDTH" ) - self._config['BORDER']['flag'] = ( - conf.get('BORDER_PARAMETERS', 'BORDER_FLAG_VALUE') + self._config["BORDER"]["flag"] = conf.get( + "BORDER_PARAMETERS", "BORDER_FLAG_VALUE" ) - for mask_shape in ['HALO', 'SPIKE']: + for mask_shape in ["HALO", "SPIKE"]: - self._config[mask_shape]['make'] = conf.getboolean( - f'{mask_shape}_PARAMETERS', - f'{mask_shape}_MAKE', + self._config[mask_shape]["make"] = conf.getboolean( + f"{mask_shape}_PARAMETERS", + f"{mask_shape}_MAKE", ) - self._config[mask_shape]['individual'] = ( - conf.getboolean('OTHER', 'KEEP_INDIVIDUAL_MASK') + self._config[mask_shape]["individual"] = conf.getboolean( + "OTHER", "KEEP_INDIVIDUAL_MASK" ) - if self._config[mask_shape]['make']: + if self._config[mask_shape]["make"]: - self._config[mask_shape]['maskmodel_path'] = conf.getexpanded( - f'{mask_shape}_PARAMETERS', - f'{mask_shape}_MASKMODEL_PATH', + self._config[mask_shape]["maskmodel_path"] = conf.getexpanded( + f"{mask_shape}_PARAMETERS", + f"{mask_shape}_MASKMODEL_PATH", ) - self._config[mask_shape]['mag_lim'] = conf.getfloat( - f'{mask_shape}_PARAMETERS', - f'{mask_shape}_MAG_LIM', + self._config[mask_shape]["mag_lim"] = conf.getfloat( + f"{mask_shape}_PARAMETERS", + f"{mask_shape}_MAG_LIM", ) - self._config[mask_shape]['scale_factor'] = conf.getfloat( - f'{mask_shape}_PARAMETERS', - f'{mask_shape}_SCALE_FACTOR', + self._config[mask_shape]["scale_factor"] = conf.getfloat( + f"{mask_shape}_PARAMETERS", + f"{mask_shape}_SCALE_FACTOR", ) - self._config[mask_shape]['mag_pivot'] = conf.getfloat( - f'{mask_shape}_PARAMETERS', - f'{mask_shape}_MAG_PIVOT', + self._config[mask_shape]["mag_pivot"] = conf.getfloat( + f"{mask_shape}_PARAMETERS", + f"{mask_shape}_MAG_PIVOT", ) - self._config[mask_shape]['flag'] = conf.getint( - f'{mask_shape}_PARAMETERS', - f'{mask_shape}_FLAG_VALUE', + self._config[mask_shape]["flag"] = conf.getint( + f"{mask_shape}_PARAMETERS", + f"{mask_shape}_FLAG_VALUE", ) - if conf.getboolean('OTHER', 'KEEP_REG_FILE'): + if conf.getboolean("OTHER", "KEEP_REG_FILE"): reg_file = conf.getexpanded( - f'{mask_shape}_PARAMETERS', - f'{mask_shape}_REG_FILE', + f"{mask_shape}_PARAMETERS", + f"{mask_shape}_REG_FILE", ) - self._config[mask_shape]['reg_file'] = ( + self._config[mask_shape]["reg_file"] = ( f'{self._config["PATH"]["temp_dir"]}/' + f'{re.split(".reg", reg_file)[0]}' - + f'{self._img_number}.reg' + + f"{self._img_number}.reg" ) else: - self._config[mask_shape]['reg_file'] = None + self._config[mask_shape]["reg_file"] = None - for mask_type in ['MESSIER', 'NGC']: + for mask_type in ["MESSIER", "NGC"]: - self._config[mask_type]['make'] = conf.getboolean( - f'{mask_type}_PARAMETERS', - f'{mask_type}_MAKE' + self._config[mask_type]["make"] = conf.getboolean( + f"{mask_type}_PARAMETERS", f"{mask_type}_MAKE" ) - if self._config[mask_type]['make']: - self._config[mask_type]['cat_path'] = conf.getexpanded( - f'{mask_type}_PARAMETERS', - f'{mask_type}_CAT_PATH', + if self._config[mask_type]["make"]: + self._config[mask_type]["cat_path"] = conf.getexpanded( + f"{mask_type}_PARAMETERS", + f"{mask_type}_CAT_PATH", ) - self._config[mask_type]['size_plus'] = conf.getfloat( - f'{mask_type}_PARAMETERS', - f'{mask_type}_SIZE_PLUS', + self._config[mask_type]["size_plus"] = conf.getfloat( + f"{mask_type}_PARAMETERS", + f"{mask_type}_SIZE_PLUS", ) - self._config[mask_type]['flag'] = conf.getint( - f'{mask_type}_PARAMETERS', - f'{mask_type}_FLAG_VALUE', + self._config[mask_type]["flag"] = conf.getint( + f"{mask_type}_PARAMETERS", + f"{mask_type}_FLAG_VALUE", ) - self._config['MD']['make'] = ( - conf.getboolean('MD_PARAMETERS', 'MD_MAKE') - ) + self._config["MD"]["make"] = conf.getboolean("MD_PARAMETERS", "MD_MAKE") - if self._config['MD']['make']: - self._config['MD']['thresh_flag'] = ( - conf.getfloat('MD_PARAMETERS', 'MD_THRESH_FLAG') + if self._config["MD"]["make"]: + self._config["MD"]["thresh_flag"] = conf.getfloat( + "MD_PARAMETERS", "MD_THRESH_FLAG" ) - self._config['MD']['thresh_remove'] = ( - conf.getfloat('MD_PARAMETERS', 'MD_THRESH_REMOVE') + self._config["MD"]["thresh_remove"] = conf.getfloat( + "MD_PARAMETERS", "MD_THRESH_REMOVE" ) - self._config['MD']['remove'] = ( - conf.getboolean('MD_PARAMETERS', 'MD_REMOVE') + self._config["MD"]["remove"] = conf.getboolean( + "MD_PARAMETERS", "MD_REMOVE" ) def _set_image_coordinates(self): @@ -293,9 +287,9 @@ def _set_image_coordinates(self): pix_center = [img_shape[1] / 2.0, img_shape[0] / 2.0] wcs_center = self._wcs.all_pix2world([pix_center], 1)[0] self._fieldcenter = {} - self._fieldcenter['pix'] = np.array(pix_center) - self._fieldcenter['wcs'] = ( - SkyCoord(ra=wcs_center[0], dec=wcs_center[1], unit='deg') + self._fieldcenter["pix"] = np.array(pix_center) + self._fieldcenter["wcs"] = SkyCoord( + ra=wcs_center[0], dec=wcs_center[1], unit="deg" ) # Get the four corners of the image @@ -315,77 +309,77 @@ def make_mask(self): """ output_file_name = ( - f'{self._img_prefix}' - + f'{self._outname_base}{self._img_number}.fits' + f"{self._img_prefix}" + + f"{self._outname_base}{self._img_number}.fits" ) - if ( - os.path.exists(f"{self._check_existing_dir}//{output_file_name}") - ): + if os.path.exists(f"{self._check_existing_dir}//{output_file_name}"): return None, None - if self._config['MD']['make']: + if self._config["MD"]["make"]: self.missing_data() - if self._config['HALO']['make'] or self._config['SPIKE']['make']: + if self._config["HALO"]["make"] or self._config["SPIKE"]["make"]: stars = self.find_stars( - np.array([ - self._fieldcenter['wcs'].ra.value, - self._fieldcenter['wcs'].dec.value - ]), + np.array( + [ + self._fieldcenter["wcs"].ra.value, + self._fieldcenter["wcs"].dec.value, + ] + ), radius=self._img_radius, ) if not self._err: - for _type in ('HALO', 'SPIKE'): - if self._config[_type]['make']: + for _type in ("HALO", "SPIKE"): + if self._config[_type]["make"]: self._create_mask( stars=stars, types=_type, - mag_limit=self._config[_type]['mag_lim'], - scale_factor=self._config[_type]['scale_factor'], - mag_pivot=self._config[_type]['mag_pivot'], + mag_limit=self._config[_type]["mag_lim"], + scale_factor=self._config[_type]["scale_factor"], + mag_pivot=self._config[_type]["mag_pivot"], ) if not self._err: mask_name = [] - if self._config['HALO']['make'] and self._config['SPIKE']['make']: - self._exec_WW(types='ALL') + if self._config["HALO"]["make"] and self._config["SPIKE"]["make"]: + self._exec_WW(types="ALL") mask_name.append( f'{self._config["PATH"]["temp_dir"]}halo_spike_flag' - + f'{self._img_number}.fits' + + f"{self._img_number}.fits" ) mask_name.append(None) else: - for _type in ('HALO', 'SPIKE'): - if self._config[_type]['make']: + for _type in ("HALO", "SPIKE"): + if self._config[_type]["make"]: self._exec_WW(types=_type) mask_name.append( f'{self._config["PATH"]["temp_dir"]}' - + f'{_type.lower()}_flag{self._img_number}.fits' + + f"{_type.lower()}_flag{self._img_number}.fits" ) else: mask_name.append(None) masks_internal = {} if not self._err: - if self._config['BORDER']['make']: - masks_internal['BORDER'] = self.mask_border( - width=self._config['BORDER']['width'] + if self._config["BORDER"]["make"]: + masks_internal["BORDER"] = self.mask_border( + width=self._config["BORDER"]["width"] ) if not self._err: - for _type in ('MESSIER', 'NGC'): - if self._config[_type]['make']: + for _type in ("MESSIER", "NGC"): + if self._config[_type]["make"]: masks_internal[_type] = self.mask_dso( - self._config[_type]['cat_path'], - size_plus=self._config[_type]['size_plus'], - flag_value=self._config[_type]['flag'], + self._config[_type]["cat_path"], + size_plus=self._config[_type]["size_plus"], + flag_value=self._config[_type]["flag"], obj_type=_type, ) if not self._err: try: - im_pass = self._config['MD']['im_remove'] + im_pass = self._config["MD"]["im_remove"] except Exception: im_pass = True @@ -401,19 +395,19 @@ def make_mask(self): path_external_flag=path_external_flag, ) - if not self._config['HALO']['individual']: + if not self._config["HALO"]["individual"]: if mask_name[0] is not None: - self._rm_fits1_stdout, self._rm_fits1_stderr = ( - execute(f'rm {mask_name[0]}') + self._rm_fits1_stdout, self._rm_fits1_stderr = execute( + f"rm {mask_name[0]}" ) if mask_name[1] is not None: - self._rm_fits2_stdout, self._rm_fits2_stderr = ( - execute(f'rm {mask_name[1]}') + self._rm_fits2_stdout, self._rm_fits2_stderr = execute( + f"rm {mask_name[1]}" ) output_file_name = ( - f'{self._output_dir}/{self._img_prefix}' - + f'{self._outname_base}{self._img_number}.fits' + f"{self._output_dir}/{self._img_prefix}" + + f"{self._outname_base}{self._img_number}.fits" ) self._mask_to_file( @@ -422,32 +416,30 @@ def make_mask(self): ) # Handle stdout / stderr - general_stdout = f'\nCDSClient\n{self._CDS_stdout}' - general_stderr = '' - if self._CDS_stderr != '': - general_stderr += f'\nCDSClient\n{self._CDS_stderr}' - if hasattr(self, '_WW_stdout') or hasattr(self, '_WW_stdout'): - general_stdout += f'\n\nWeightWatcher\n{self._WW_stdout}' - if self._WW_stderr != '': - general_stderr += f'\n\nWeightWatcher\n{self._WW_stderr}' - if hasattr(self, '_rm_reg_stderr') or hasattr(self, '_rm_reg_stdout'): - general_stdout += f'\n\nrm reg file\n{self._rm_reg_stdout}' - if self._rm_reg_stderr != '': - general_stderr += f'\n\nrm reg file\n{self._rm_reg_stderr}' - if ( - hasattr(self, '_rm_fits1_stderr') - or hasattr(self, '_rm_fits1_stdout') + general_stdout = f"\nCDSClient\n{self._CDS_stdout}" + general_stderr = "" + if self._CDS_stderr != "": + general_stderr += f"\nCDSClient\n{self._CDS_stderr}" + if hasattr(self, "_WW_stdout") or hasattr(self, "_WW_stdout"): + general_stdout += f"\n\nWeightWatcher\n{self._WW_stdout}" + if self._WW_stderr != "": + general_stderr += f"\n\nWeightWatcher\n{self._WW_stderr}" + if hasattr(self, "_rm_reg_stderr") or hasattr(self, "_rm_reg_stdout"): + general_stdout += f"\n\nrm reg file\n{self._rm_reg_stdout}" + if self._rm_reg_stderr != "": + general_stderr += f"\n\nrm reg file\n{self._rm_reg_stderr}" + if hasattr(self, "_rm_fits1_stderr") or hasattr( + self, "_rm_fits1_stdout" ): - general_stdout += f'\n\nrm fits1 file\n{self._rm_fits1_stdout}' - if self._rm_fits1_stderr != '': - general_stderr += f'\n\nrm fits1 file\n{self._rm_fits1_stderr}' - if ( - hasattr(self, '_rm_fits2_stderr') - or hasattr(self, '_rm_fits2_stdout') + general_stdout += f"\n\nrm fits1 file\n{self._rm_fits1_stdout}" + if self._rm_fits1_stderr != "": + general_stderr += f"\n\nrm fits1 file\n{self._rm_fits1_stderr}" + if hasattr(self, "_rm_fits2_stderr") or hasattr( + self, "_rm_fits2_stdout" ): - general_stdout += f'\n\nrm fits2 file\n{self._rm_fits2_stdout}' - if self._rm_fits2_stderr != '': - general_stderr += f'\n\nrm fits2 file\n{self._rm_fits2_stderr}' + general_stdout += f"\n\nrm fits2 file\n{self._rm_fits2_stdout}" + if self._rm_fits2_stderr != "": + general_stderr += f"\n\nrm fits2 file\n{self._rm_fits2_stderr}" return general_stdout, general_stderr @@ -475,35 +467,35 @@ def find_stars(self, position, radius): For invalid configuration options """ - if 'CDSclient' in self._config['PATH']: + if "CDSclient" in self._config["PATH"]: ra = position[0] dec = position[1] if dec > 0.0: - sign = '+' + sign = "+" else: - sign = '' + sign = "" cmd_line = ( f'{self._config["PATH"]["CDSclient"]} {ra} {sign}{dec} ' - + f'-r {radius} -n 1000000' + + f"-r {radius} -n 1000000" ) self._CDS_stdout, self._CDS_stderr = execute(cmd_line) - elif 'star_cat' in self._config['PATH']: - f = open(self._config['PATH']['star_cat'], 'r') + elif "star_cat" in self._config["PATH"]: + f = open(self._config["PATH"]["star_cat"], "r") self._CDS_stdout = f.read() - self._CDS_stderr = '' + self._CDS_stderr = "" f.close() else: raise ValueError( - 'Either [PROGRAM_PATH]:CDSCLIENT_PATH in the mask config file ' - + ' or a star catalogue as module input needs to be present' + "Either [PROGRAM_PATH]:CDSCLIENT_PATH in the mask config file " + + " or a star catalogue as module input needs to be present" ) - if self._CDS_stderr != '': + if self._CDS_stderr != "": self._err = True return None @@ -533,15 +525,15 @@ def mask_border(self, width=100, flag_value=4): """ if width is None: - raise ValueError('Width for border mask not provided') + raise ValueError("Width for border mask not provided") # Note that python image array is [y, x] flag = np.zeros( ( - int(self._fieldcenter['pix'][1] * 2), - int(self._fieldcenter['pix'][0] * 2) + int(self._fieldcenter["pix"][1] * 2), + int(self._fieldcenter["pix"][0] * 2), ), - dtype='uint16', + dtype="uint16", ) flag[0:width, :] = flag_value @@ -556,7 +548,7 @@ def mask_dso( cat_path, size_plus=0.1, flag_value=8, - obj_type='Messier', + obj_type="Messier", ): """Mask DSO. @@ -591,23 +583,23 @@ def mask_dso( """ if size_plus < 0: raise ValueError( - 'deep-sky mask size increase variable cannot be negative' + "deep-sky mask size increase variable cannot be negative" ) if cat_path is None: - raise ValueError('Path to deep-sky object catalogue not provided') + raise ValueError("Path to deep-sky object catalogue not provided") m_cat, header = fits.getdata(cat_path, header=True) - unit_ra = file_io.get_unit_from_fits_header(header, 'ra') - unit_dec = file_io.get_unit_from_fits_header(header, 'dec') + unit_ra = file_io.get_unit_from_fits_header(header, "ra") + unit_dec = file_io.get_unit_from_fits_header(header, "dec") m_sc = SkyCoord( - ra=m_cat['ra'] * unit_ra, - dec=m_cat['dec'] * unit_dec, + ra=m_cat["ra"] * unit_ra, + dec=m_cat["dec"] * unit_dec, ) - unit_size_X = file_io.get_unit_from_fits_header(header, 'size_X') - unit_size_Y = file_io.get_unit_from_fits_header(header, 'size_Y') + unit_size_X = file_io.get_unit_from_fits_header(header, "size_X") + unit_size_Y = file_io.get_unit_from_fits_header(header, "size_Y") # Loop through all deep-sky objects and check whether any corner is # closer than the object's radius @@ -618,8 +610,8 @@ def mask_dso( # DSO size # r = max(m_obj['size']) * units.arcmin r = max( - m_obj['size_X'] * unit_size_X, - m_obj['size_Y'] * unit_size_Y, + m_obj["size_X"] * unit_size_X, + m_obj["size_Y"] * unit_size_Y, ) r_deg = r.to(units.degree) size_max_deg.append(r_deg) @@ -630,8 +622,7 @@ def mask_dso( indices.append(idx) self._w_log.info( - f'Found {len(indices)} {obj_type} objects overlapping with' - ' image' + f"Found {len(indices)} {obj_type} objects overlapping with" " image" ) if len(indices) == 0: @@ -644,42 +635,44 @@ def mask_dso( for idx in indices: in_img = self._wcs.footprint_contains(m_sc[idx]) self._w_log.info( - '(obj_type, ra, dec, in_img) = ' - + f'({obj_type}, ' + "(obj_type, ra, dec, in_img) = " + + f"({obj_type}, " + f'{m_cat["ra"][idx]}, ' + f'{m_cat["dec"][idx]}, ' - + f'{in_img})' + + f"{in_img})" ) # Note: python image array is [y, x] flag = np.zeros( ( - int(self._fieldcenter['pix'][1] * 2), - int(self._fieldcenter['pix'][0] * 2) + int(self._fieldcenter["pix"][1] * 2), + int(self._fieldcenter["pix"][0] * 2), ), - dtype='uint16', + dtype="uint16", ) - nx = self._fieldcenter['pix'][0] * 2 - ny = self._fieldcenter['pix'][1] * 2 + nx = self._fieldcenter["pix"][0] * 2 + ny = self._fieldcenter["pix"][1] * 2 for idx in indices: - m_center = np.hstack(self._wcs.all_world2pix( - m_cat['ra'][idx], - m_cat['dec'][idx], - 0, - )) + m_center = np.hstack( + self._wcs.all_world2pix( + m_cat["ra"][idx], + m_cat["dec"][idx], + 0, + ) + ) r_pix = ( - size_max_deg[idx].to(units.deg).value * (1 + size_plus) + size_max_deg[idx].to(units.deg).value + * (1 + size_plus) / np.abs(self._wcs.pixel_scale_matrix[0][0]) ) # The following accounts for deep-sky centers outside of image, # without creating masks for coordinates out of range y_c, x_c = np.ogrid[0:ny, 0:nx] - mask_tmp = ( - (x_c - m_center[0]) ** 2 + (y_c - m_center[1]) ** 2 - <= r_pix ** 2 - ) + mask_tmp = (x_c - m_center[0]) ** 2 + ( + y_c - m_center[1] + ) ** 2 <= r_pix**2 flag[mask_tmp] = flag_value @@ -700,26 +693,26 @@ def missing_data(self): tot = float(im_shape[0] * im_shape[1]) # Compute number and ratio of missing data (zero-valued pixels) - missing = float(len(np.where(img.get_data() == 0.)[0])) + missing = float(len(np.where(img.get_data() == 0.0)[0])) self._ratio = missing / tot # Mark image as to be flagged if ratio larger than 'flag' threshold - if self._ratio >= self._config['MD']['thresh_flag']: - self._config['MD']['im_flagged'] = True + if self._ratio >= self._config["MD"]["thresh_flag"]: + self._config["MD"]["im_flagged"] = True else: - self._config['MD']['im_flagged'] = False + self._config["MD"]["im_flagged"] = False # Mark image as to be removed if flag is True and # ratio large than 'remove' threshold. # Reset all other mask 'make' flags to False (no other mask needs # to be created) - if self._config['MD']['remove']: - if self._ratio >= self._config['MD']['thresh_remove']: - self._config['MD']['im_remove'] = True - for idx in ['HALO', 'SPIKE', 'MESSIER', 'BORDER']: - self._config[idx]['make'] = False + if self._config["MD"]["remove"]: + if self._ratio >= self._config["MD"]["thresh_remove"]: + self._config["MD"]["im_remove"] = True + for idx in ["HALO", "SPIKE", "MESSIER", "BORDER"]: + self._config[idx]["make"] = False else: - self._config['MD']['im_remove'] = False + self._config["MD"]["im_remove"] = False img.close() @@ -750,7 +743,7 @@ def sphere_dist(self, position1, position2): type(position1) is not np.ndarray or type(position2) is not np.ndarray ): - raise ValueError('Object coordinates need to be a numpy.ndarray') + raise ValueError("Object coordinates need to be a numpy.ndarray") p1 = (np.pi / 180.0) * np.hstack( self._wcs.all_pix2world(position1[0], position1[1], 1) @@ -763,10 +756,12 @@ def sphere_dist(self, position1, position2): dLong = dTheta[0] dLat = dTheta[1] - dist = 2 * np.arcsin(np.sqrt( - np.sin(dLat / 2.0) ** 2.0 + np.cos(p1[1]) * np.cos(p2[1]) - * np.sin(dLong / 2.0) ** 2.0 - )) + dist = 2 * np.arcsin( + np.sqrt( + np.sin(dLat / 2.0) ** 2.0 + + np.cos(p1[1]) * np.cos(p2[1]) * np.sin(dLong / 2.0) ** 2.0 + ) + ) return dist * (180.0 / np.pi) * 3600.0 @@ -793,7 +788,7 @@ def _get_image_radius(self, center=None): """ if center is None: return ( - self.sphere_dist(self._fieldcenter['pix'], np.zeros(2)) / 60.0 + self.sphere_dist(self._fieldcenter["pix"], np.zeros(2)) / 60.0 ) else: @@ -801,7 +796,7 @@ def _get_image_radius(self, center=None): return self.sphere_dist(center, np.zeros(2)) / 60.0 else: raise TypeError( - 'Image center coordinates has to be a numpy.ndarray' + "Image center coordinates has to be a numpy.ndarray" ) def _make_star_cat(self, CDSclient_output): @@ -824,12 +819,12 @@ def _make_star_cat(self, CDSclient_output): stars = {} # get header - for key in CDSclient_output.splitlines()[3].split(' '): - if (key != '') and (key != ';'): + for key in CDSclient_output.splitlines()[3].split(" "): + if (key != "") and (key != ";"): # cleaning output - key = key.replace(' ', '') - for key_split in re.split(',|#|;', key): - if key_split != '': + key = key.replace(" ", "") + for key_split in re.split(",|#|;", key): + if key_split != "": key = key_split header.append(key) stars[key] = [] @@ -837,19 +832,19 @@ def _make_star_cat(self, CDSclient_output): # get data for elem in range(4, len(CDSclient_output.splitlines()) - 5): idx = 0 - for key in CDSclient_output.splitlines()[elem].split(' '): - if (key != '') and (key != ';'): + for key in CDSclient_output.splitlines()[elem].split(" "): + if (key != "") and (key != ";"): # cleaning output - key = key.replace(' ', '') - for key_split in re.split(',|#|;', key): - if key_split != '': + key = key.replace(" ", "") + for key_split in re.split(",|#|;", key): + if key_split != "": key = key_split # handle missing data try: key = float(key) stars[header[idx]].append(key) except Exception: - if key == '---': + if key == "---": stars[header[idx]].append(None) else: stars[header[idx]].append(key) @@ -860,7 +855,7 @@ def _make_star_cat(self, CDSclient_output): def _create_mask( self, stars, - types='HALO', + types="HALO", mag_limit=18.0, mag_pivot=13.8, scale_factor=0.3, @@ -891,34 +886,34 @@ def _create_mask( """ if stars is None: - raise ValueError('Star catalogue dictionary not provided') + raise ValueError("Star catalogue dictionary not provided") - if types not in ('HALO', 'SPIKE'): + if types not in ("HALO", "SPIKE"): raise ValueError('Mask types need to be in ["HALO", "SPIKE"]') - if self._config[types]['reg_file'] is None: + if self._config[types]["reg_file"] is None: reg = ( f'{self._config["PATH"]["temp_dir"]}{types.lower()}' - + f'{self._img_number}.reg' + + f"{self._img_number}.reg" ) else: - reg = self._config[types]['reg_file'] + reg = self._config[types]["reg_file"] mask_model = np.loadtxt( - self._config[types]['maskmodel_path'] + self._config[types]["maskmodel_path"] ).transpose() - mask_reg = open(reg, 'w') + mask_reg = open(reg, "w") stars_used = [[], [], []] star_zip = zip( - stars['RA(J2000)'], - stars['Dec(J2000)'], - stars['Fmag'], - stars['Jmag'], - stars['Vmag'], - stars['Nmag'], - stars['Clas'], + stars["RA(J2000)"], + stars["Dec(J2000)"], + stars["Fmag"], + stars["Jmag"], + stars["Vmag"], + stars["Nmag"], + stars["Clas"], ) for ra, dec, Fmag, Jmag, Vmag, Nmag, clas in star_zip: @@ -943,7 +938,9 @@ def _create_mask( mag /= idx if ( - ra is not None and dec is not None and mag is not None + ra is not None + and dec is not None + and mag is not None and clas is not None ): if (mag < mag_limit) and (clas == 0): @@ -954,22 +951,22 @@ def _create_mask( stars_used[2].append(scaling) for idx in range(len(stars_used[0])): - poly = 'polygon(' + poly = "polygon(" for x, y in zip(mask_model[0], mask_model[1]): angle = np.arctan2(y, x) - ll = stars_used[2][idx] * np.sqrt(x ** 2 + y ** 2) + ll = stars_used[2][idx] * np.sqrt(x**2 + y**2) xnew = ll * np.cos(angle) ynew = ll * np.sin(angle) poly = ( - f'{poly}{str(stars_used[0][idx] + xnew + 0.5)} ' - + f'{str(stars_used[1][idx] + ynew + 0.5)} ' + f"{poly}{str(stars_used[0][idx] + xnew + 0.5)} " + + f"{str(stars_used[1][idx] + ynew + 0.5)} " ) - poly = f'{poly})\n' + poly = f"{poly})\n" mask_reg.write(poly) mask_reg.close() - def _exec_WW(self, types='HALO'): + def _exec_WW(self, types="HALO"): """Execute WeightWatcher. Execute WeightWatcher to transform ``.reg`` to ``.fits`` flag map. @@ -986,18 +983,18 @@ def _exec_WW(self, types='HALO'): If catalogue file not found """ - if types in ('HALO', 'SPIKE'): + if types in ("HALO", "SPIKE"): default_reg = ( f'{self._config["PATH"]["temp_dir"]}{types.lower()}' - + f'{self._img_number}.reg' + + f"{self._img_number}.reg" ) default_out = ( f'{self._config["PATH"]["temp_dir"]}{types.lower()}_flag' - + f'{self._img_number}.fits' + + f"{self._img_number}.fits" ) - if self._config[types]['reg_file'] is None: + if self._config[types]["reg_file"] is None: reg = default_reg if not file_io.BaseCatalogue(reg)._file_exists(reg): @@ -1006,20 +1003,18 @@ def _exec_WW(self, types='HALO'): cmd = ( f'{self._config["PATH"]["WW"]} ' + f'-c {self._config["PATH"]["WW_configfile"]} ' - + f'-WEIGHT_NAMES {self._weight_fullpath} ' - + f'-POLY_NAMES {reg} ' + + f"-WEIGHT_NAMES {self._weight_fullpath} " + + f"-POLY_NAMES {reg} " + f'-POLY_OUTFLAGS {self._config[types]["flag"]} ' + f'-FLAG_NAMES "" -OUTFLAG_NAME {default_out} ' + '-OUTWEIGHT_NAME ""' ) self._WW_stdout, self._WW_stderr = execute(cmd) - self._rm_reg_stdout, self._rm_reg_stderr = ( - execute(f'rm {reg}') - ) + self._rm_reg_stdout, self._rm_reg_stderr = execute(f"rm {reg}") else: - reg = self._config[types]['reg_file'] + reg = self._config[types]["reg_file"] if not file_io.BaseCatalogue(reg)._file_exists(reg): raise file_io.BaseCatalogue.CatalogFileNotFound(reg) @@ -1027,8 +1022,8 @@ def _exec_WW(self, types='HALO'): cmd = ( f'{self._config["PATH"]["WW"]} ' + f'-c {self._config["PATH"]["WW_configfile"]} ' - + f'-WEIGHT_NAMES {self._weight_fullpath} ' - + f'-POLY_NAMES {reg} ' + + f"-WEIGHT_NAMES {self._weight_fullpath} " + + f"-POLY_NAMES {reg} " + f'-POLY_OUTFLAGS {self._config[types]["flag"]} ' + f'-FLAG_NAMES "" -OUTFLAG_NAME {default_out} ' + '-OUTWEIGHT_NAME ""' @@ -1036,24 +1031,24 @@ def _exec_WW(self, types='HALO'): self._WW_stdout, self._WW_stderr = execute(cmd) - elif types == 'ALL': + elif types == "ALL": default_reg = [ ( f'{self._config["PATH"]["temp_dir"]}' - + f'halo{self._img_number}.reg' + + f"halo{self._img_number}.reg" ), ( f'{self._config["PATH"]["temp_dir"]}' - + f'spike{self._img_number}.reg' - ) + + f"spike{self._img_number}.reg" + ), ] default_out = ( f'{self._config["PATH"]["temp_dir"]}' - + f'halo_spike_flag{self._img_number}.fits' + + f"halo_spike_flag{self._img_number}.fits" ) - if self._config['HALO']['reg_file'] is None: + if self._config["HALO"]["reg_file"] is None: reg = default_reg for idx in range(2): @@ -1067,8 +1062,8 @@ def _exec_WW(self, types='HALO'): cmd = ( f'{self._config["PATH"]["WW"]} ' + f'-c {self._config["PATH"]["WW_configfile"]} ' - + f'-WEIGHT_NAMES {self._weight_fullpath} ' - + f'-POLY_NAMES {reg[0]},{reg[1]} ' + + f"-WEIGHT_NAMES {self._weight_fullpath} " + + f"-POLY_NAMES {reg[0]},{reg[1]} " + f'-POLY_OUTFLAGS {self._config["HALO"]["flag"]},' + f'{self._config["SPIKE"]["flag"]} ' + f'-FLAG_NAMES "" -OUTFLAG_NAME {default_out} ' @@ -1076,14 +1071,14 @@ def _exec_WW(self, types='HALO'): ) self._WW_stdout, self._WW_stderr = execute(cmd) - self._rm_reg_stdout, self._rm_reg_stderr = ( - execute(f'rm {reg[0]} {reg[1]}') + self._rm_reg_stdout, self._rm_reg_stderr = execute( + f"rm {reg[0]} {reg[1]}" ) else: reg = [ - self._config['HALO']['reg_file'], - self._config['SPIKE']['reg_file'] + self._config["HALO"]["reg_file"], + self._config["SPIKE"]["reg_file"], ] for idx in range(2): @@ -1097,8 +1092,8 @@ def _exec_WW(self, types='HALO'): cmd = ( f'{self._config["PATH"]["WW"]} ' + f'-c {self._config["PATH"]["WW_configfile"]} ' - + f'-WEIGHT_NAMES {self._weight_fullpath} ' - + f'-POLY_NAMES {reg[0]},{reg[1]} ' + + f"-WEIGHT_NAMES {self._weight_fullpath} " + + f"-POLY_NAMES {reg[0]},{reg[1]} " + f'-POLY_OUTFLAGS {self._config["HALO"]["flag"]},' + f'{self._config["SPIKE"]["flag"]} ' + f'-FLAG_NAMES "" -OUTFLAG_NAME {default_out} ' @@ -1110,7 +1105,7 @@ def _exec_WW(self, types='HALO'): else: ValueError("Types must be in ['HALO','SPIKE','ALL']") - if (self._WW_stderr != '') or (self._rm_reg_stderr != ''): + if (self._WW_stderr != "") or (self._rm_reg_stderr != ""): self._err = True def _build_final_mask( @@ -1152,13 +1147,10 @@ def _build_final_mask( """ final_mask = None - if ( - path_mask1 is None and path_mask2 is None - and not masks_internal - ): + if path_mask1 is None and path_mask2 is None and not masks_internal: raise ValueError( - 'No paths to mask files containing halos and/or spikes,' - + ' borders, or deep-sky objects provided' + "No paths to mask files containing halos and/or spikes," + + " borders, or deep-sky objects provided" ) if path_mask1 is not None: @@ -1184,8 +1176,8 @@ def _build_final_mask( final_mask = masks_internal[typ] else: raise TypeError( - f'internally created mask of type {typ} ' - + 'has to be numpy.ndarray' + f"internally created mask of type {typ} " + + "has to be numpy.ndarray" ) if path_external_flag is not None: @@ -1224,9 +1216,9 @@ def _mask_to_file(self, input_mask, output_fullpath): """ if input_mask is None: - raise ValueError('input mask file path not provided') + raise ValueError("input mask file path not provided") if output_fullpath is None: - raise ValueError('output mask file path not provided') + raise ValueError("output mask file path not provided") out = file_io.FITSCatalogue( output_fullpath, @@ -1235,16 +1227,16 @@ def _mask_to_file(self, input_mask, output_fullpath): ) out.save_as_fits(data=input_mask, image=True) - if self._config['MD']['make']: + if self._config["MD"]["make"]: out.open() out.add_header_card( - 'MRATIO', + "MRATIO", self._ratio, - 'ratio missing_pixels/all_pixels', + "ratio missing_pixels/all_pixels", ) out.add_header_card( - 'MFLAG', - self._config['MD']['im_flagged'], + "MFLAG", + self._config["MD"]["im_flagged"], f'threshold value {self._config["MD"]["thresh_flag"]:.3}', ) @@ -1282,14 +1274,14 @@ def _get_temp_dir_path(self, temp_dir_path): """ if temp_dir_path is None: - raise ValueError('Temporary directory path not provided') + raise ValueError("Temporary directory path not provided") - path = temp_dir_path.replace(' ', '') + path = temp_dir_path.replace(" ", "") - if path == 'OUTPUT': - path = f'{self._output_dir}/temp' + if path == "OUTPUT": + path = f"{self._output_dir}/temp" - path += '/' + path += "/" if not os.path.isdir(path): mkdir(path) diff --git a/shapepipe/modules/mask_runner.py b/shapepipe/modules/mask_runner.py index c3215107c..0cbec20e2 100644 --- a/shapepipe/modules/mask_runner.py +++ b/shapepipe/modules/mask_runner.py @@ -11,12 +11,12 @@ @module_runner( - version='1.0', - file_pattern=['image', 'weight', 'flag'], - file_ext=['.fits', '.fits', '.fits'], - depends=['numpy', 'astropy'], - executes=['ww', 'findgsc2.2'], - numbering_scheme='_0', + version="1.0", + file_pattern=["image", "weight", "flag"], + file_ext=[".fits", ".fits", ".fits"], + depends=["numpy", "astropy"], + executes=["ww", "findgsc2.2"], + numbering_scheme="_0", ) def mask_runner( input_file_list, @@ -37,32 +37,31 @@ def mask_runner( # Set options for 3 inputs elif n_inputs == 3: - if config.getboolean(module_config_sec, 'USE_EXT_FLAG'): + if config.getboolean(module_config_sec, "USE_EXT_FLAG"): ext_flag_name = input_file_list[2] ext_star_cat = None - elif config.getboolean(module_config_sec, 'USE_EXT_STAR'): + elif config.getboolean(module_config_sec, "USE_EXT_STAR"): ext_flag_name = None ext_star_cat = input_file_list[2] else: raise ValueError( - f'Found {n_inputs} inputs but was expecting external flag or ' - + 'external star catalogue in the MASK_RUNNER section of the ' - + 'config file.' + f"Found {n_inputs} inputs but was expecting external flag or " + + "external star catalogue in the MASK_RUNNER section of the " + + "config file." ) # Set options for 4 inputs elif n_inputs == 4: - if ( - config.getboolean(module_config_sec, 'USE_EXT_FLAG') - and config.getboolean(module_config_sec, 'USE_EXT_STAR') - ): + if config.getboolean( + module_config_sec, "USE_EXT_FLAG" + ) and config.getboolean(module_config_sec, "USE_EXT_STAR"): ext_flag_name = input_file_list[2] ext_star_cat = input_file_list[3] else: raise ValueError( - f'Found {n_inputs} inputs but was expecting external flag and ' - + 'external star catalogue in the MASK_RUNNER section of the ' - + 'config file.' + f"Found {n_inputs} inputs but was expecting external flag and " + + "external star catalogue in the MASK_RUNNER section of the " + + "config file." ) # Raise error for invalid settings @@ -70,32 +69,31 @@ def mask_runner( raise ValueError( f'Found {n_inputs} inputs and these must be "image", "weight" and ' + '"ext_flags", "ext_star_cat" (optional). Check the MASK_RUNNER ' - + 'section of the config file to make sure you have the ' - + 'appropriate settings.' + + "section of the config file to make sure you have the " + + "appropriate settings." ) # Get path to mask configuration options - config_file = config.getexpanded(module_config_sec, 'MASK_CONFIG_PATH') + config_file = config.getexpanded(module_config_sec, "MASK_CONFIG_PATH") # Get mask HDU number - if config.has_option(module_config_sec, 'HDU'): - hdu = config.getint(module_config_sec, 'HDU') + if config.has_option(module_config_sec, "HDU"): + hdu = config.getint(module_config_sec, "HDU") else: hdu = 0 # Get mask mask file name prefix - if config.has_option(module_config_sec, 'PREFIX'): - prefix = config.get(module_config_sec, 'PREFIX') + if config.has_option(module_config_sec, "PREFIX"): + prefix = config.get(module_config_sec, "PREFIX") else: - prefix = '' + prefix = "" - outname_base = 'flag' + outname_base = "flag" # Path to check for already created mask files - if config.has_option(module_config_sec, 'CHECK_EXISTING_DIR'): + if config.has_option(module_config_sec, "CHECK_EXISTING_DIR"): check_existing_dir = config.getexpanded( - module_config_sec, - 'CHECK_EXISTING_DIR' + module_config_sec, "CHECK_EXISTING_DIR" ) else: check_existing_dir = None @@ -103,10 +101,10 @@ def mask_runner( # Create instance of Mask mask_inst = Mask( *input_file_list[:2], - image_prefix=prefix.replace(' ', ''), + image_prefix=prefix.replace(" ", ""), image_num=file_number_string, config_filepath=config_file, - output_dir=run_dirs['output'], + output_dir=run_dirs["output"], path_external_flag=ext_flag_name, outname_base=outname_base, star_cat_path=ext_star_cat, diff --git a/shapepipe/modules/match_external_package/__init__.py b/shapepipe/modules/match_external_package/__init__.py index 950d84ca8..7fa68545c 100644 --- a/shapepipe/modules/match_external_package/__init__.py +++ b/shapepipe/modules/match_external_package/__init__.py @@ -46,4 +46,4 @@ """ -__all__ = ['match_external'] +__all__ = ["match_external"] diff --git a/shapepipe/modules/match_external_package/match_external.py b/shapepipe/modules/match_external_package/match_external.py index 520bbb318..218a231e7 100644 --- a/shapepipe/modules/match_external_package/match_external.py +++ b/shapepipe/modules/match_external_package/match_external.py @@ -175,14 +175,14 @@ def process(self): self._external_col_match[0], self._external_col_match[1], ) - external_coord = SkyCoord(ra=external_ra, dec=external_dec, unit='deg') + external_coord = SkyCoord(ra=external_ra, dec=external_dec, unit="deg") data, col_names, ext_names = get_data( self._input_file_list[0], self._hdu_no, ) ra, dec = get_ra_dec(data, self._col_match[0], self._col_match[1]) - coord = SkyCoord(ra=ra, dec=dec, unit='deg') + coord = SkyCoord(ra=ra, dec=dec, unit="deg") # Match objects in external cat to internal cat. indices=indices to # external object for each object in internal cat e.g. @@ -198,17 +198,20 @@ def process(self): if not any(indices_close): self._w_log.info( - f'No match for {self._input_file_list[0]} with distance < ' - + f'{self._tolerance} arcsec found, no output created.' + f"No match for {self._input_file_list[0]} with distance < " + + f"{self._tolerance} arcsec found, no output created." ) else: # Get indices in internal and external catalogues of pair-wise # matches - w = np.array([ - (idx, ide) for (idx, ide) in enumerate(indices) - if indices_close[idx] - ]) + w = np.array( + [ + (idx, ide) + for (idx, ide) in enumerate(indices) + if indices_close[idx] + ] + ) id_sub = w[:, 0] id_ext_sub = w[:, 1] id_all = np.arange(len(indices)) @@ -223,7 +226,7 @@ def process(self): id_ext = id_ext_sub self._w_log.info( - f'{len(id_sub)} objects matched out of {len(indices)}.' + f"{len(id_sub)} objects matched out of {len(indices)}." ) # Copy matched objects from internal catalogue to output data @@ -242,7 +245,7 @@ def process(self): # Output distance if desired if self._output_distance: # Output distance in arcsec - matched['distance'] = d2d[id_data].to('arcsec').value + matched["distance"] = d2d[id_data].to("arcsec").value # Write FITS file out_cat = file_io.FITSCatalogue( @@ -252,14 +255,13 @@ def process(self): ) out_cat.save_as_fits( data=matched, - ext_name='MATCHED', + ext_name="MATCHED", ) # Write all extensions if in multi-epoch mode - if self._mode == 'MULTI-EPOCH': + if self._mode == "MULTI-EPOCH": hdu_me_list = [ - idx for idx, name in enumerate(ext_names) - if 'EPOCH' in name + idx for idx, name in enumerate(ext_names) if "EPOCH" in name ] for hdu_me in hdu_me_list: data_me, col_names_me, dummy = get_data( diff --git a/shapepipe/modules/match_external_runner.py b/shapepipe/modules/match_external_runner.py index 9f1060c11..4df5ac0c2 100644 --- a/shapepipe/modules/match_external_runner.py +++ b/shapepipe/modules/match_external_runner.py @@ -11,12 +11,12 @@ @module_runner( - version='1.1', - input_module='sextractor_runner', - file_pattern='tile_sexcat', - file_ext='.fits', - depends=['numpy', 'astropy'], - run_method='parallel', + version="1.1", + input_module="sextractor_runner", + file_pattern="tile_sexcat", + file_ext=".fits", + depends=["numpy", "astropy"], + run_method="parallel", ) def match_external_runner( input_file_list, @@ -28,72 +28,71 @@ def match_external_runner( ): """Define The Match External Runner.""" # Get processing tolerance - tolerance = config.getfloat(module_config_sec, 'TOLERANCE') + tolerance = config.getfloat(module_config_sec, "TOLERANCE") # Internal data - col_match = config.getlist(module_config_sec, 'COL_MATCH') - if config.has_option(module_config_sec, 'HDU'): - hdu_no = config.getint(module_config_sec, 'HDU') + col_match = config.getlist(module_config_sec, "COL_MATCH") + if config.has_option(module_config_sec, "HDU"): + hdu_no = config.getint(module_config_sec, "HDU") else: hdu_no = 2 # Set run mode - mode = config.get(module_config_sec, 'MODE') - valid_modes = ('CLASSIC', 'MULTI-EPOCH') + mode = config.get(module_config_sec, "MODE") + valid_modes = ("CLASSIC", "MULTI-EPOCH") if mode not in valid_modes: raise ValueError( - f'mode \'{mode}\' is invalid, must be one of {valid_modes}.' + f"mode '{mode}' is invalid, must be one of {valid_modes}." ) # External data external_cat_path = config.getexpanded( module_config_sec, - 'EXTERNAL_CAT_PATH', + "EXTERNAL_CAT_PATH", ) external_col_match = config.getlist( module_config_sec, - 'EXTERNAL_COL_MATCH', + "EXTERNAL_COL_MATCH", ) # TODO: optional or 'none', 'all' # Also TODO: change column name if already present in internal cat - external_col_copy = config.getlist(module_config_sec, 'EXTERNAL_COL_COPY') + external_col_copy = config.getlist(module_config_sec, "EXTERNAL_COL_COPY") - if config.has_option(module_config_sec, 'EXTERNAL_HDU'): - external_hdu_no = config.getint(module_config_sec, 'EXTERNAL_HDU') + if config.has_option(module_config_sec, "EXTERNAL_HDU"): + external_hdu_no = config.getint(module_config_sec, "EXTERNAL_HDU") else: external_hdu_no = 1 # Output - if config.has_option(module_config_sec, 'PREFIX'): + if config.has_option(module_config_sec, "PREFIX"): prefix = config.get( module_config_sec, - 'PREFIX', + "PREFIX", ) else: - prefix = 'cat_matched' + prefix = "cat_matched" - if config.has_option(module_config_sec, 'MARK_NON_MATCHED'): + if config.has_option(module_config_sec, "MARK_NON_MATCHED"): mark_non_matched = config.getfloat( module_config_sec, - 'MARK_NON_MATCHED', + "MARK_NON_MATCHED", ) else: mark_non_matched = None - if config.has_option(module_config_sec, 'OUTPUT_DISTANCE'): + if config.has_option(module_config_sec, "OUTPUT_DISTANCE"): output_distance = config.getboolean( module_config_sec, - 'OUTPUT_DISTANCE', + "OUTPUT_DISTANCE", ) else: output_distance = False # Set output file path - file_ext = 'fits' + file_ext = "fits" output_path = ( - f'{run_dirs["output"]}/{prefix}{file_number_string}.' - + f'{file_ext}' + f'{run_dirs["output"]}/{prefix}{file_number_string}.' + f"{file_ext}" ) # Create instance of MatchCats diff --git a/shapepipe/modules/mccd_fit_runner.py b/shapepipe/modules/mccd_fit_runner.py index 512364338..58e367231 100644 --- a/shapepipe/modules/mccd_fit_runner.py +++ b/shapepipe/modules/mccd_fit_runner.py @@ -13,13 +13,13 @@ @module_runner( - version='1.1', - input_module=['mccd_preprocessing_runner'], - file_pattern=['train_star_selection'], - file_ext=['.fits'], - numbering_scheme='-0000000', - depends=['numpy', 'mccd', 'galsim'], - run_method='parallel', + version="1.1", + input_module=["mccd_preprocessing_runner"], + file_pattern=["train_star_selection"], + file_ext=[".fits"], + numbering_scheme="-0000000", + depends=["numpy", "mccd", "galsim"], + run_method="parallel", ) def mccd_fit_runner( input_file_list, @@ -31,9 +31,9 @@ def mccd_fit_runner( ): """Define The MCCD Fit Runner.""" # Recover the MCCD config file and its params - config_file_path = config.getexpanded(module_config_sec, 'CONFIG_PATH') - mccd_mode = config.get(module_config_sec, 'MODE') - verbose = config.getboolean(module_config_sec, 'VERBOSE') + config_file_path = config.getexpanded(module_config_sec, "CONFIG_PATH") + mccd_mode = config.get(module_config_sec, "MODE") + verbose = config.getboolean(module_config_sec, "VERBOSE") # Parse MCCD config file mccd_parser = mccd.auxiliary_fun.MCCDParamsParser(config_file_path) @@ -41,10 +41,10 @@ def mccd_fit_runner( # Prepare inputs to run the main fit function trainstar_path = input_file_list[0] - output_dir = run_dirs['output'] + '/' - saving_name = 'fitted_model' + output_dir = run_dirs["output"] + "/" + saving_name = "fitted_model" - if mccd_mode == 'FIT': + if mccd_mode == "FIT": aux_mccd.mccd_fit_pipeline( trainstar_path=trainstar_path, file_number_string=file_number_string, diff --git a/shapepipe/modules/mccd_fit_val_runner.py b/shapepipe/modules/mccd_fit_val_runner.py index cb959e31c..26623c2a7 100644 --- a/shapepipe/modules/mccd_fit_val_runner.py +++ b/shapepipe/modules/mccd_fit_val_runner.py @@ -13,13 +13,13 @@ @module_runner( - version='1.1', - input_module=['mccd_preprocessing_runner'], - file_pattern=['train_star_selection', 'test_star_selection'], - file_ext=['.fits', '.fits'], - numbering_scheme='-0000000', - depends=['numpy', 'mccd', 'galsim'], - run_method='parallel', + version="1.1", + input_module=["mccd_preprocessing_runner"], + file_pattern=["train_star_selection", "test_star_selection"], + file_ext=[".fits", ".fits"], + numbering_scheme="-0000000", + depends=["numpy", "mccd", "galsim"], + run_method="parallel", ) def mccd_fit_val_runner( input_file_list, @@ -31,24 +31,24 @@ def mccd_fit_val_runner( ): """Define The MCCD Fit Validation Runner.""" # Recover the MCCD config file and its params - config_file_path = config.getexpanded(module_config_sec, 'CONFIG_PATH') - mccd_mode = config.get(module_config_sec, 'MODE') - verbose = config.getboolean(module_config_sec, 'VERBOSE') + config_file_path = config.getexpanded(module_config_sec, "CONFIG_PATH") + mccd_mode = config.get(module_config_sec, "MODE") + verbose = config.getboolean(module_config_sec, "VERBOSE") # Parse MCCD config file mccd_parser = mccd.auxiliary_fun.MCCDParamsParser(config_file_path) mccd_parser.parse_document() # Prepare inputs to run the main fit function - output_dir = run_dirs['output'] + '/' - fit_saving_name = 'fitted_model' - val_saving_name = 'validation_psf' + output_dir = run_dirs["output"] + "/" + fit_saving_name = "fitted_model" + val_saving_name = "validation_psf" # Extract the training star catalog trainstar_path = input_file_list[0] # Validation stars are in the second position of the list teststar_path = input_file_list[1] - if mccd_mode == 'FIT_VALIDATION': + if mccd_mode == "FIT_VALIDATION": aux_mccd.mccd_fit_pipeline( trainstar_path=trainstar_path, @@ -61,8 +61,9 @@ def mccd_fit_val_runner( ) # Fitted model is found in the output directory - mccd_model_path = output_dir + fit_saving_name + file_number_string \ - + '.npy' + mccd_model_path = ( + output_dir + fit_saving_name + file_number_string + ".npy" + ) aux_mccd.mccd_validation_pipeline( teststar_path=teststar_path, diff --git a/shapepipe/modules/mccd_interp_runner.py b/shapepipe/modules/mccd_interp_runner.py index 4856e562f..1428e44d6 100644 --- a/shapepipe/modules/mccd_interp_runner.py +++ b/shapepipe/modules/mccd_interp_runner.py @@ -10,19 +10,20 @@ from shapepipe.pipeline.run_log import get_last_dir -from shapepipe.modules.mccd_package import \ - mccd_interpolation_script as mccd_interp +from shapepipe.modules.mccd_package import ( + mccd_interpolation_script as mccd_interp, +) from shapepipe.modules.mccd_package import shapepipe_auxiliary_mccd as aux_mccd from shapepipe.modules.module_decorator import module_runner @module_runner( - version='1.0', - input_module=['setools_runner'], - file_pattern=['galaxy_selection'], - file_ext=['.npy'], - depends=['numpy', 'astropy', 'galsim', 'sqlitedict', 'mccd'], - run_method='parallel', + version="1.0", + input_module=["setools_runner"], + file_pattern=["galaxy_selection"], + file_ext=[".npy"], + depends=["numpy", "astropy", "galsim", "sqlitedict", "mccd"], + run_method="parallel", ) def mccd_interp_runner( input_file_list, @@ -33,37 +34,32 @@ def mccd_interp_runner( w_log, ): """Define The MCCD Interpolation Runner.""" - mode = config.getexpanded(module_config_sec, 'MODE') - pos_params = config.getlist(module_config_sec, 'POSITION_PARAMS') - get_shapes = config.getboolean(module_config_sec, 'GET_SHAPES') - mccd_model_extension = '.npy' - output_dir = run_dirs['output'] - - if mode == 'CLASSIC': - module = config.getexpanded( - module_config_sec, - 'PSF_MODEL_DIR' - ) - psf_model_dir = get_last_dir(run_dirs['run_log'], module) - psf_model_pattern = config.get( - module_config_sec, - 'PSF_MODEL_PATTERN' - ) - psf_separator = config.get( - module_config_sec, - 'PSF_MODEL_SEPARATOR' - ) + mode = config.getexpanded(module_config_sec, "MODE") + pos_params = config.getlist(module_config_sec, "POSITION_PARAMS") + get_shapes = config.getboolean(module_config_sec, "GET_SHAPES") + mccd_model_extension = ".npy" + output_dir = run_dirs["output"] + + if mode == "CLASSIC": + module = config.getexpanded(module_config_sec, "PSF_MODEL_DIR") + psf_model_dir = get_last_dir(run_dirs["run_log"], module) + psf_model_pattern = config.get(module_config_sec, "PSF_MODEL_PATTERN") + psf_separator = config.get(module_config_sec, "PSF_MODEL_SEPARATOR") galcat_path = input_file_list[0] # verify that the MCCD model exists ccd_id = file_number_string.split(psf_separator)[-1] exposure_id = file_number_string.split(psf_separator)[-2] - psf_model_path = psf_model_dir + psf_model_pattern + psf_separator +\ - exposure_id + mccd_model_extension + psf_model_path = ( + psf_model_dir + + psf_model_pattern + + psf_separator + + exposure_id + + mccd_model_extension + ) - saving_path = output_dir + '/galaxy_psf' + file_number_string +\ - '.fits' + saving_path = output_dir + "/galaxy_psf" + file_number_string + ".fits" if not os.path.exists(psf_model_path): error_msg = "The corresponding PSF model was not not found." @@ -74,7 +70,7 @@ def mccd_interp_runner( return None, None - w_log.info('Interpolating catalogue %s..' % file_number_string) + w_log.info("Interpolating catalogue %s.." % file_number_string) output_msg = aux_mccd.mccd_interpolation_pipeline( mccd_model_path=psf_model_path, galcat_path=galcat_path, @@ -90,20 +86,11 @@ def mccd_interp_runner( + f" id: {file_number_string}." ) - elif mode == 'MULTI-EPOCH': - module = config.getexpanded( - module_config_sec, - 'PSF_MODEL_DIR' - ) - psf_model_dir = get_last_dir(run_dirs['run_log'], module) - psf_model_pattern = config.get( - module_config_sec, - 'PSF_MODEL_PATTERN' - ) - f_wcs_path = config.getexpanded( - module_config_sec, - 'ME_LOG_WCS' - ) + elif mode == "MULTI-EPOCH": + module = config.getexpanded(module_config_sec, "PSF_MODEL_DIR") + psf_model_dir = get_last_dir(run_dirs["run_log"], module) + psf_model_pattern = config.get(module_config_sec, "PSF_MODEL_PATTERN") + f_wcs_path = config.getexpanded(module_config_sec, "ME_LOG_WCS") galcat_path = input_file_list[0] @@ -119,7 +106,7 @@ def mccd_interp_runner( inst.process_me(psf_model_dir, psf_model_pattern, f_wcs_path) - elif mode == 'VALIDATION': + elif mode == "VALIDATION": ValueError( "MODE has to be in MULTI-EPOCH or CLASSIC. For validation" + " use MCCD validation runner." diff --git a/shapepipe/modules/mccd_package/__init__.py b/shapepipe/modules/mccd_package/__init__.py index dc6416c43..115cc0f86 100644 --- a/shapepipe/modules/mccd_package/__init__.py +++ b/shapepipe/modules/mccd_package/__init__.py @@ -190,7 +190,7 @@ """ __all__ = [ - 'shapepipe_auxiliary_mccd', - 'mccd_interpolation_script', - 'mccd_plot_utilities', + "shapepipe_auxiliary_mccd", + "mccd_interpolation_script", + "mccd_plot_utilities", ] diff --git a/shapepipe/modules/mccd_package/mccd_interpolation_script.py b/shapepipe/modules/mccd_package/mccd_interpolation_script.py index c899b2b8f..4d3f776fa 100644 --- a/shapepipe/modules/mccd_package/mccd_interpolation_script.py +++ b/shapepipe/modules/mccd_package/mccd_interpolation_script.py @@ -23,9 +23,9 @@ import_fail = False -NOT_ENOUGH_STARS = 'Fail_stars' -BAD_CHI2 = 'Fail_chi2' -FILE_NOT_FOUND = 'File_not_found' +NOT_ENOUGH_STARS = "Fail_stars" +BAD_CHI2 = "Fail_chi2" +FILE_NOT_FOUND = "File_not_found" def interp_MCCD(mccd_model_path, positions, ccd): @@ -62,10 +62,12 @@ def interp_MCCD(mccd_model_path, positions, ccd): # Positions to global coordinates loc2glob = mccd.mccd_utils.Loc2Glob() - glob_pos = np.array([ - loc2glob.loc2glob_img_coord(_ccd, _pos[0], _pos[1]) - for _ccd, _pos in zip(ccd_list, positions) - ]) + glob_pos = np.array( + [ + loc2glob.loc2glob_img_coord(_ccd, _pos[0], _pos[1]) + for _ccd, _pos in zip(ccd_list, positions) + ] + ) # Interpolate the model PSFs = mccd_instance.interpolate_psf_pipeline(glob_pos, ccd) @@ -116,16 +118,16 @@ def __init__( img_number, w_log, pos_params=None, - get_shapes=True + get_shapes=True, ): # Path to PSFEx output file self._dotpsf_path = dotpsf_path # Path to catalogue containing galaxy positions self._galcat_path = galcat_path # Path to output file to be written - self._output_path = output_path + '/galaxy_psf' + self._output_path = output_path + "/galaxy_psf" # Path to output file to be written for validation - self._output_path_validation = output_path + '/validation_psf' + self._output_path_validation = output_path + "/validation_psf" # if required, compute and save shapes self._compute_shape = get_shapes @@ -142,8 +144,8 @@ def __init__( if pos_params: if not len(pos_params) == 2: raise ValueError( - f'{len(pos_params)} position parameters were passed on;' - + f' there should be exactly two.' + f"{len(pos_params)} position parameters were passed on;" + + f" there should be exactly two." ) self._pos_params = pos_params else: @@ -162,8 +164,8 @@ def _get_position_parameters(self): dotpsf = file_io.FITSCatalogue(self._dotpsf_path) dotpsf.open() self._pos_params = [ - dotpsf.get_header()['POLNAME1'], - dotpsf.get_header()['POLNAME2'] + dotpsf.get_header()["POLNAME1"], + dotpsf.get_header()["POLNAME2"], ] dotpsf.close() @@ -180,20 +182,23 @@ def _get_galaxy_positions(self): galcat.open() try: self.gal_pos = np.array( - [[x, y] for x, y in zip( - galcat.get_data()[self._pos_params[0]], - galcat.get_data()[self._pos_params[1]] - )] + [ + [x, y] + for x, y in zip( + galcat.get_data()[self._pos_params[0]], + galcat.get_data()[self._pos_params[1]], + ) + ] ) except KeyError as detail: # extract erroneous position parameter from original exception err_pos_param = detail.args[0][4:-15] pos_param_err = ( - f'Required position parameter {err_pos_param}' - + 'was not found in galaxy catalog. Leave ' - + 'pos_params (or EXTRA_CODE_OPTION) blank to ' - + 'read them from .psf file.' + f"Required position parameter {err_pos_param}" + + "was not found in galaxy catalog. Leave " + + "pos_params (or EXTRA_CODE_OPTION) blank to " + + "read them from .psf file." ) raise KeyError(pos_param_err) galcat.close() @@ -205,22 +210,24 @@ def _get_psfshapes(self): """ if import_fail: - raise ImportError('Galsim is required to get shapes information') + raise ImportError("Galsim is required to get shapes information") psf_moms = [ hsm.FindAdaptiveMom(Image(psf), strict=False) for psf in self.interp_PSFs ] - self.psf_shapes = np.array([ + self.psf_shapes = np.array( [ - moms.observed_shape.g1, - moms.observed_shape.g2, - moms.moments_sigma, - int(bool(moms.error_message)) + [ + moms.observed_shape.g1, + moms.observed_shape.g2, + moms.moments_sigma, + int(bool(moms.error_message)), + ] + for moms in psf_moms ] - for moms in psf_moms - ]) + ) def _write_output(self): """Write Output. @@ -229,21 +236,21 @@ def _write_output(self): """ output = file_io.FITSCatalogue( - self._output_path + self._img_number + '.fits', + self._output_path + self._img_number + ".fits", open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite, - SEx_catalogue=True + SEx_catalogue=True, ) if self._compute_shape: data = { - 'VIGNET': self.interp_PSFs, - 'E1_PSF_HSM': self.psf_shapes[:, 0], - 'E2_PSF_HSM': self.psf_shapes[:, 1], - 'SIGMA_PSF_HSM': self.psf_shapes[:, 2], - 'FLAG_PSF_HSM': self.psf_shapes[:, 3].astype(int) + "VIGNET": self.interp_PSFs, + "E1_PSF_HSM": self.psf_shapes[:, 0], + "E2_PSF_HSM": self.psf_shapes[:, 1], + "SIGMA_PSF_HSM": self.psf_shapes[:, 2], + "FLAG_PSF_HSM": self.psf_shapes[:, 3].astype(int), } else: - data = {'VIGNET': self.interp_PSFs} + data = {"VIGNET": self.interp_PSFs} output.save_as_fits(data, sex_cat_path=self._galcat_path) def _get_starshapes(self, star_vign): @@ -258,27 +265,27 @@ def _get_starshapes(self, star_vign): """ if import_fail: - raise ImportError('Galsim is required to get shapes information') + raise ImportError("Galsim is required to get shapes information") masks = np.zeros_like(star_vign) masks[np.where(star_vign == -1e30)] = 1 - star_moms = [hsm.FindAdaptiveMom( - Image(star), - badpix=Image(mask), - strict=False) + star_moms = [ + hsm.FindAdaptiveMom(Image(star), badpix=Image(mask), strict=False) for star, mask in zip(star_vign, masks) ] - self.star_shapes = np.array([ + self.star_shapes = np.array( [ - moms.observed_shape.g1, - moms.observed_shape.g2, - moms.moments_sigma, - int(bool(moms.error_message)) + [ + moms.observed_shape.g1, + moms.observed_shape.g2, + moms.moments_sigma, + int(bool(moms.error_message)), + ] + for moms in star_moms ] - for moms in star_moms - ]) + ) def _get_psfexcatdict(self, psfex_cat_path): """Get PSFEx Catalogue Dictionary. @@ -300,13 +307,16 @@ def _get_psfexcatdict(self, psfex_cat_path): psfex_cat.open() psfex_cat_dict = {} - psfex_cat_dict['SOURCE_NUMBER'] = np.copy( - psfex_cat.get_data()['SOURCE_NUMBER']) - psfex_cat_dict['DELTAX_IMAGE'] = np.copy( - psfex_cat.get_data()['DELTAX_IMAGE']) - psfex_cat_dict['DELTAY_IMAGE'] = np.copy( - psfex_cat.get_data()['DELTAY_IMAGE']) - psfex_cat_dict['CHI2_PSF'] = np.copy(psfex_cat.get_data()['CHI2_PSF']) + psfex_cat_dict["SOURCE_NUMBER"] = np.copy( + psfex_cat.get_data()["SOURCE_NUMBER"] + ) + psfex_cat_dict["DELTAX_IMAGE"] = np.copy( + psfex_cat.get_data()["DELTAX_IMAGE"] + ) + psfex_cat_dict["DELTAY_IMAGE"] = np.copy( + psfex_cat.get_data()["DELTAY_IMAGE"] + ) + psfex_cat_dict["CHI2_PSF"] = np.copy(psfex_cat.get_data()["CHI2_PSF"]) return psfex_cat_dict @@ -324,28 +334,29 @@ def _write_output_validation(self, star_dict, psfex_cat_dict): """ output = file_io.FITSCatalogue( - self._output_path_validation + self._img_number + '.fits', + self._output_path_validation + self._img_number + ".fits", open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite, - SEx_catalogue=True) + SEx_catalogue=True, + ) data = { - 'E1_PSF_HSM': self.psf_shapes[:, 0], - 'E2_PSF_HSM': self.psf_shapes[:, 1], - 'SIGMA_PSF_HSM': self.psf_shapes[:, 2], - 'FLAG_PSF_HSM': self.psf_shapes[:, 3].astype(int), - 'E1_STAR_HSM': self.star_shapes[:, 0], - 'E2_STAR_HSM': self.star_shapes[:, 1], - 'SIGMA_STAR_HSM': self.star_shapes[:, 2], - 'FLAG_STAR_HSM': self.star_shapes[:, 3].astype(int) + "E1_PSF_HSM": self.psf_shapes[:, 0], + "E2_PSF_HSM": self.psf_shapes[:, 1], + "SIGMA_PSF_HSM": self.psf_shapes[:, 2], + "FLAG_PSF_HSM": self.psf_shapes[:, 3].astype(int), + "E1_STAR_HSM": self.star_shapes[:, 0], + "E2_STAR_HSM": self.star_shapes[:, 1], + "SIGMA_STAR_HSM": self.star_shapes[:, 2], + "FLAG_STAR_HSM": self.star_shapes[:, 3].astype(int), } data = {**data, **star_dict} - data['ACCEPTED'] = np.ones_like(data['NUMBER'], dtype='int16') - star_used = psfex_cat_dict.pop('SOURCE_NUMBER') + data["ACCEPTED"] = np.ones_like(data["NUMBER"], dtype="int16") + star_used = psfex_cat_dict.pop("SOURCE_NUMBER") - for i in range(len(data['NUMBER'])): + for i in range(len(data["NUMBER"])): if i + 1 not in star_used: - data['ACCEPTED'][i] = 0 + data["ACCEPTED"][i] = 0 output.save_as_fits(data, sex_cat_path=self._galcat_path) @@ -393,24 +404,25 @@ def _interpolate_me(self): cat = file_io.FITSCatalogue(self._galcat_path, SEx_catalogue=True) cat.open() - all_id = np.copy(cat.get_data()['NUMBER']) - key_ne = 'N_EPOCH' + all_id = np.copy(cat.get_data()["NUMBER"]) + key_ne = "N_EPOCH" if key_ne not in cat.get_data(): raise KeyError( - f'Key {key_ne} not found in input galaxy catalogue, needed for' - + ' PSF interpolation to multi-epoch data; run previous module' - + ' (SExtractor) in multi-epoch mode' + f"Key {key_ne} not found in input galaxy catalogue, needed for" + + " PSF interpolation to multi-epoch data; run previous module" + + " (SExtractor) in multi-epoch mode" ) n_epoch = np.copy(cat.get_data()[key_ne]) list_ext_name = cat.get_ext_name() - hdu_ind = [i for i in range(len(list_ext_name)) if - 'EPOCH' in list_ext_name[i]] + hdu_ind = [ + i for i in range(len(list_ext_name)) if "EPOCH" in list_ext_name[i] + ] final_list = [] for hdu_index in hdu_ind: - exp_name = cat.get_data(hdu_index)['EXP_NAME'][0] - ccd_list = list(set(cat.get_data(hdu_index)['CCD_N'])) + exp_name = cat.get_data(hdu_index)["EXP_NAME"][0] + ccd_list = list(set(cat.get_data(hdu_index)["CCD_N"])) array_psf = None array_id = None array_shape = None @@ -421,51 +433,54 @@ def _interpolate_me(self): # dot_psf_path = self._dot_psf_dir + '/' +\ # self._dot_psf_pattern + '-' + exp_name + '-' + str(ccd) +\ # '.psf' - mccd_model_path = self._dot_psf_dir + '/' +\ - self._dot_psf_pattern + '-' + exp_name + '.npy' + mccd_model_path = ( + self._dot_psf_dir + + "/" + + self._dot_psf_pattern + + "-" + + exp_name + + ".npy" + ) - ind_obj = np.where(cat.get_data(hdu_index)['CCD_N'] == ccd)[0] + ind_obj = np.where(cat.get_data(hdu_index)["CCD_N"] == ccd)[0] obj_id = all_id[ind_obj] gal_pos = np.array( - self._f_wcs_file[exp_name][ccd]['WCS'].all_world2pix( + self._f_wcs_file[exp_name][ccd]["WCS"].all_world2pix( self.gal_pos[:, 0][ind_obj], self.gal_pos[:, 1][ind_obj], - 0 + 0, ) ).T self.interp_PSFs = interp_MCCD(mccd_model_path, gal_pos, ccd) - if ( - isinstance(self.interp_PSFs, str) - and (self.interp_PSFs == NOT_ENOUGH_STARS) + if isinstance(self.interp_PSFs, str) and ( + self.interp_PSFs == NOT_ENOUGH_STARS ): self._w_log.info( - f'Not enough stars find in the ccd {ccd} of the' - + f' exposure {exp_name}. Object inside this ' - + f'ccd will lose an epoch.' + f"Not enough stars find in the ccd {ccd} of the" + + f" exposure {exp_name}. Object inside this " + + f"ccd will lose an epoch." ) continue - if ( - isinstance(self.interp_PSFs, str) - and (self.interp_PSFs == BAD_CHI2) + if isinstance(self.interp_PSFs, str) and ( + self.interp_PSFs == BAD_CHI2 ): self._w_log.info( - f'Bad chi2 for the psf model in the ccd {ccd} of the' - + f' exposure {exp_name}. Object inside this ccd' - + f' will lose an epoch.' + f"Bad chi2 for the psf model in the ccd {ccd} of the" + + f" exposure {exp_name}. Object inside this ccd" + + f" will lose an epoch." ) continue - if ( - isinstance(self.interp_PSFs, str) - and (self.interp_PSFs == FILE_NOT_FOUND) + if isinstance(self.interp_PSFs, str) and ( + self.interp_PSFs == FILE_NOT_FOUND ): self._w_log.info( - f'Psf model file {self._dotpsf_path} not found.' - + f' Object inside this ccd will lose an epoch.' + f"Psf model file {self._dotpsf_path} not found." + + f" Object inside this ccd will lose an epoch." ) continue @@ -473,7 +488,8 @@ def _interpolate_me(self): array_psf = np.copy(self.interp_PSFs) else: array_psf = np.concatenate( - (array_psf, np.copy(self.interp_PSFs))) + (array_psf, np.copy(self.interp_PSFs)) + ) if array_id is None: array_id = np.copy(obj_id) @@ -486,20 +502,24 @@ def _interpolate_me(self): array_shape = np.copy(self.psf_shapes) else: array_shape = np.concatenate( - (array_shape, np.copy(self.psf_shapes))) + (array_shape, np.copy(self.psf_shapes)) + ) else: array_shape = None exp_name_tmp = np.array( - [exp_name + '-' + str(ccd) for i in range(len(obj_id))]) + [exp_name + "-" + str(ccd) for i in range(len(obj_id))] + ) if array_exp_name is None: array_exp_name = exp_name_tmp else: array_exp_name = np.concatenate( - (array_exp_name, exp_name_tmp)) + (array_exp_name, exp_name_tmp) + ) final_list.append( - [array_id, array_psf, array_shape, array_exp_name]) + [array_id, array_psf, array_shape, array_exp_name] + ) self._f_wcs_file.close() cat.close() @@ -513,22 +533,28 @@ def _interpolate_me(self): if len(where_res) != 0: output_dict[id_tmp][final_list[j][3][where_res[0]]] = {} output_dict[id_tmp][final_list[j][3][where_res[0]]][ - 'VIGNET'] = final_list[j][1][where_res[0]] + "VIGNET" + ] = final_list[j][1][where_res[0]] if self._compute_shape: shape_dict = {} - shape_dict['E1_PSF_HSM'] = \ - final_list[j][2][where_res[0]][0] - shape_dict['E2_PSF_HSM'] = \ - final_list[j][2][where_res[0]][1] - shape_dict['SIGMA_PSF_HSM'] = \ - final_list[j][2][where_res[0]][2] - shape_dict['FLAG_PSF_HSM'] = \ - final_list[j][2][where_res[0]][3] + shape_dict["E1_PSF_HSM"] = final_list[j][2][ + where_res[0] + ][0] + shape_dict["E2_PSF_HSM"] = final_list[j][2][ + where_res[0] + ][1] + shape_dict["SIGMA_PSF_HSM"] = final_list[j][2][ + where_res[0] + ][2] + shape_dict["FLAG_PSF_HSM"] = final_list[j][2][ + where_res[0] + ][3] output_dict[id_tmp][final_list[j][3][where_res[0]]][ - 'SHAPES'] = shape_dict + "SHAPES" + ] = shape_dict counter += 1 if counter == 0: - output_dict[id_tmp] = 'empty' + output_dict[id_tmp] = "empty" return output_dict @@ -546,7 +572,8 @@ def _write_output_me(self, output_dict): # np.save(self._output_path+self._img_number, output_dict) output_file = SqliteDict( - self._output_path + self._img_number + '.sqlite') + self._output_path + self._img_number + ".sqlite" + ) for i in output_dict.keys(): output_file[str(i)] = output_dict[i] output_file.commit() diff --git a/shapepipe/modules/mccd_package/mccd_plot_utilities.py b/shapepipe/modules/mccd_package/mccd_plot_utilities.py index 6c074cf67..c7a65b5bd 100644 --- a/shapepipe/modules/mccd_package/mccd_plot_utilities.py +++ b/shapepipe/modules/mccd_package/mccd_plot_utilities.py @@ -1567,7 +1567,7 @@ def rho_stats( square_size = True ver = "id" out_base = f"rho_stats_{ver}.fits" - # TODO: deal with flags + # TODO: deal with flags rho_stat_handler.build_cat_to_compute_rho( starcat_path, catalog_id=ver, @@ -1589,7 +1589,7 @@ def only_p(corrs): ["b"], [ver], abs=False, - savefig='rho_stats.png', + savefig="rho_stats.png", legend="outside", ) diff --git a/shapepipe/modules/mccd_package/shapepipe_auxiliary_mccd.py b/shapepipe/modules/mccd_package/shapepipe_auxiliary_mccd.py index 1877719fa..44b7cf55b 100644 --- a/shapepipe/modules/mccd_package/shapepipe_auxiliary_mccd.py +++ b/shapepipe/modules/mccd_package/shapepipe_auxiliary_mccd.py @@ -17,7 +17,7 @@ from shapepipe.pipeline import file_io -NOT_ENOUGH_STARS = 'Not enough stars to train the model.' +NOT_ENOUGH_STARS = "Not enough stars to train the model." def mccd_preprocessing_pipeline( @@ -25,14 +25,14 @@ def mccd_preprocessing_pipeline( output_path, input_file_position=0, min_n_stars=20, - separator='-', + separator="-", CCD_id_filter_list=None, - outlier_std_max=100., + outlier_std_max=100.0, save_masks=True, - save_name='train_star_selection', - save_extension='.fits', + save_name="train_star_selection", + save_extension=".fits", verbose=True, - print_fun=None + print_fun=None, ): r"""Preprocess Input Catalogue. @@ -86,38 +86,55 @@ def mccd_preprocessing_pipeline( if verbose: if print_fun is None: + def print_fun(x): print(x) + else: + def print_fun(x): pass - print_fun('Processing dataset..') + print_fun("Processing dataset..") mccd_inputs = mccd.mccd_utils.MccdInputs(separator=separator) catalog_ids = mccd_inputs.proprocess_pipeline_data( - input_file_list, - element_position=input_file_position + input_file_list, element_position=input_file_position ) # Loop over the catalogs for it in range(catalog_ids.shape[0]): # For each observation position catalog_id = catalog_ids[it] - star_list, pos_list, mask_list, ccd_list, SNR_list, RA_list, \ - DEC_list = mccd_inputs.get_inputs(catalog_id) - - star_list, pos_list, mask_list, ccd_list, SNR_list, RA_list, \ - DEC_list, _ = mccd_inputs.outlier_rejection( - star_list, - pos_list, - mask_list, - ccd_list, - SNR_list, - RA_list, - DEC_list, - shape_std_max=outlier_std_max, - print_fun=print_fun - ) + ( + star_list, + pos_list, + mask_list, + ccd_list, + SNR_list, + RA_list, + DEC_list, + ) = mccd_inputs.get_inputs(catalog_id) + + ( + star_list, + pos_list, + mask_list, + ccd_list, + SNR_list, + RA_list, + DEC_list, + _, + ) = mccd_inputs.outlier_rejection( + star_list, + pos_list, + mask_list, + ccd_list, + SNR_list, + RA_list, + DEC_list, + shape_std_max=outlier_std_max, + print_fun=print_fun, + ) mccd_star_list = [] mccd_pos_list = [] @@ -163,13 +180,15 @@ def print_fun(x): # Concatenate, as fits can't handle list of numpy arrays and # turn into reg format mccd_stars = mccd.utils.reg_format( - np.concatenate(mccd_star_list, axis=2)) + np.concatenate(mccd_star_list, axis=2) + ) mccd_poss = np.concatenate(mccd_pos_list, axis=0) mccd_ccds = np.concatenate(mccd_ccd_list, axis=0) if save_masks is True: mccd_masks = mccd.utils.reg_format( - np.concatenate(mccd_mask_list, axis=2)) + np.concatenate(mccd_mask_list, axis=2) + ) else: # Send an array of False (None cannot be used in .fits) mccd_masks = np.zeros((mccd_poss.shape[0]), dtype=bool) @@ -191,20 +210,25 @@ def print_fun(x): # Save the fits file train_dic = { - 'VIGNET_LIST': mccd_stars, - 'GLOB_POSITION_IMG_LIST': mccd_poss, - 'MASK_LIST': mccd_masks, - 'CCD_ID_LIST': mccd_ccds, - 'SNR_WIN_LIST': mccd_SNRs, - 'RA_LIST': mccd_RAs, - 'DEC_LIST': mccd_DECs + "VIGNET_LIST": mccd_stars, + "GLOB_POSITION_IMG_LIST": mccd_poss, + "MASK_LIST": mccd_masks, + "CCD_ID_LIST": mccd_ccds, + "SNR_WIN_LIST": mccd_SNRs, + "RA_LIST": mccd_RAs, + "DEC_LIST": mccd_DECs, } - saving_path = output_path + save_name + separator \ - + catalog_id + save_extension + saving_path = ( + output_path + + save_name + + separator + + catalog_id + + save_extension + ) mccd.mccd_utils.save_to_fits(train_dic, saving_path) - print_fun('Finished the training dataset processing.') + print_fun("Finished the training dataset processing.") print_fun(f"Total stars processed = {mccd_star_nb:d}") return mccd_inputs @@ -216,8 +240,8 @@ def mccd_fit_pipeline( mccd_parser, output_dir, verbose, - saving_name='fitted_model', - w_log=None + saving_name="fitted_model", + w_log=None, ): r"""Fit MCCD Model. @@ -244,20 +268,20 @@ def mccd_fit_pipeline( # Extract the MCCD parameters from the parser mccd_inst_kw = mccd_parser.get_instance_kw() mccd_fit_kw = mccd_parser.get_fit_kw() - use_SNR_weight = mccd_parser.get_extra_kw('use_SNR_weight') + use_SNR_weight = mccd_parser.get_extra_kw("use_SNR_weight") # Print the model configuration so that it is saved in log files - w_log.info('MCCD configuration parameters:') - w_log.info('[INPUTS]') - inputs_dict_str = pprint.pformat({'use_SNR_weight': use_SNR_weight}) + w_log.info("MCCD configuration parameters:") + w_log.info("[INPUTS]") + inputs_dict_str = pprint.pformat({"use_SNR_weight": use_SNR_weight}) w_log.info(inputs_dict_str) - w_log.info('[INSTANCE]') + w_log.info("[INSTANCE]") inst_dict_str = pprint.pformat(mccd_inst_kw) w_log.info(inst_dict_str) - w_log.info('[FIT]') + w_log.info("[FIT]") fit_dict_str = pprint.pformat(mccd_fit_kw) w_log.info(fit_dict_str) - w_log.info('End of MCCD configuration parameters.') + w_log.info("End of MCCD configuration parameters.") # Open fits file starcat = fits.open(trainstar_path, memmap=False) @@ -271,7 +295,7 @@ def mccd_fit_pipeline( sex_thresh=-1e5, use_SNR_weight=use_SNR_weight, verbose=verbose, - saving_name=saving_name + saving_name=saving_name, ) starcat.close() @@ -284,7 +308,7 @@ def mccd_validation_pipeline( output_dir, file_number_string, w_log, - val_saving_name + val_saving_name, ): r"""Validate MCCD Pipeline. @@ -311,7 +335,7 @@ def mccd_validation_pipeline( w_log.info(f"Validating catalogue {file_number_string}..") # Get MCCD parameters - save_extension = '.fits' + save_extension = ".fits" mccd_val_kw = mccd_parser.get_val_kw() testcat = fits.open(teststar_path, memmap=False) @@ -322,13 +346,14 @@ def mccd_validation_pipeline( mccd_model_path=mccd_model_path, testcat=testcat[1], **mccd_val_kw, - sex_thresh=-1e5 + sex_thresh=-1e5, ) testcat.close() - val_saving_path = output_dir + val_saving_name + \ - file_number_string + save_extension + val_saving_path = ( + output_dir + val_saving_name + file_number_string + save_extension + ) # Save validation dictionary to fits file mccd.mccd_utils.save_to_fits(val_dict, val_saving_path) @@ -343,12 +368,7 @@ def mccd_validation_pipeline( def mccd_interpolation_pipeline( - mccd_model_path, - galcat_path, - pos_params, - ccd_id, - saving_path, - get_shapes + mccd_model_path, galcat_path, pos_params, ccd_id, saving_path, get_shapes ): r"""Interpolate the MCCD Model. @@ -395,22 +415,24 @@ def mccd_interpolation_pipeline( for psf in interp_PSFs ] - PSF_shapes = np.array([ + PSF_shapes = np.array( [ - moms.observed_shape.g1, - moms.observed_shape.g2, - moms.moments_sigma, - int(bool(moms.error_message)) + [ + moms.observed_shape.g1, + moms.observed_shape.g2, + moms.moments_sigma, + int(bool(moms.error_message)), + ] + for moms in PSF_moms ] - for moms in PSF_moms - ]) + ) shapepipe_write_output( saving_path=saving_path, example_fits_path=galcat_path, get_shapes=get_shapes, interp_PSFs=interp_PSFs, - PSF_shapes=PSF_shapes + PSF_shapes=PSF_shapes, ) return None @@ -419,11 +441,7 @@ def mccd_interpolation_pipeline( def shapepipe_write_output( - saving_path, - example_fits_path, - get_shapes, - interp_PSFs, - PSF_shapes=None + saving_path, example_fits_path, get_shapes, interp_PSFs, PSF_shapes=None ): r"""Write ShapePipe Output. @@ -447,18 +465,18 @@ def shapepipe_write_output( output = file_io.FITSCatalogue( saving_path, open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite, - SEx_catalogue=True + SEx_catalogue=True, ) if get_shapes: data = { - 'VIGNET': interp_PSFs, - 'E1_PSF_HSM': PSF_shapes[:, 0], - 'E2_PSF_HSM': PSF_shapes[:, 1], - 'SIGMA_PSF_HSM': PSF_shapes[:, 2], - 'FLAG_PSF_HSM': PSF_shapes[:, 3].astype(int) + "VIGNET": interp_PSFs, + "E1_PSF_HSM": PSF_shapes[:, 0], + "E2_PSF_HSM": PSF_shapes[:, 1], + "SIGMA_PSF_HSM": PSF_shapes[:, 2], + "FLAG_PSF_HSM": PSF_shapes[:, 3].astype(int), } else: - data = {'VIGNET': interp_PSFs} + data = {"VIGNET": interp_PSFs} output.save_as_fits(data, sex_cat_path=example_fits_path) diff --git a/shapepipe/modules/mccd_plots_runner.py b/shapepipe/modules/mccd_plots_runner.py index 7c7644d44..9c23537d3 100644 --- a/shapepipe/modules/mccd_plots_runner.py +++ b/shapepipe/modules/mccd_plots_runner.py @@ -19,6 +19,7 @@ import stile import stile.stile_utils from stile.sys_tests import BaseCorrelationFunctionSysTest + has_stile = True except ImportError: @@ -27,6 +28,7 @@ try: import treecorr from treecorr.corr2 import corr2_valid_params + has_treecorr = True except ImportError: @@ -37,7 +39,7 @@ import matplotlib.pyplot as plt # Define the backend for matplotlib - mpl.use('agg') + mpl.use("agg") has_mpl = True except ImportError: @@ -45,13 +47,13 @@ @module_runner( - version='1.1', - input_module=['merge_starcat_runner'], - file_pattern=['full_starcat'], - file_ext=['.fits'], - numbering_scheme='-0000000', - depends=['numpy', 'mccd', 'astropy', 'matplotlib', 'stile', 'treecorr'], - run_method='serial', + version="1.1", + input_module=["merge_starcat_runner"], + file_pattern=["full_starcat"], + file_ext=[".fits"], + numbering_scheme="-0000000", + depends=["numpy", "mccd", "astropy", "matplotlib", "stile", "treecorr"], + run_method="serial", ) def mccd_plots_runner( input_file_list, @@ -63,63 +65,63 @@ def mccd_plots_runner( ): """Define The MCCD Plots Runner.""" # Input parameters - if config.has_option(module_config_sec, 'HDU'): - hdu_no = config.getint(module_config_sec, 'HDU') + if config.has_option(module_config_sec, "HDU"): + hdu_no = config.getint(module_config_sec, "HDU") else: hdu_no = 2 # Get parameters for meanshapes plots - psf_model_type = config.get(module_config_sec, 'PSF') + psf_model_type = config.get(module_config_sec, "PSF") - if config.has_option(module_config_sec, 'MAX_E'): + if config.has_option(module_config_sec, "MAX_E"): max_e = config.getfloat(module_config_sec, "MAX_E") else: max_e = None - if config.has_option(module_config_sec, 'MAX_DE'): + if config.has_option(module_config_sec, "MAX_DE"): max_de = config.getfloat(module_config_sec, "MAX_DE") else: max_de = None - if config.has_option(module_config_sec, 'MIN_R2'): + if config.has_option(module_config_sec, "MIN_R2"): min_r2 = config.getfloat(module_config_sec, "MIN_R2") else: min_r2 = None - if config.has_option(module_config_sec, 'MAX_R2'): + if config.has_option(module_config_sec, "MAX_R2"): max_r2 = config.getfloat(module_config_sec, "MAX_R2") else: max_r2 = None - if config.has_option(module_config_sec, 'MAX_DR2'): + if config.has_option(module_config_sec, "MAX_DR2"): max_dr2 = config.getfloat(module_config_sec, "MAX_DR2") else: max_dr2 = None - x_nb_bins = config.getint(module_config_sec, 'X_GRID') - y_nb_bins = config.getint(module_config_sec, 'Y_GRID') - remove_outliers = config.getboolean(module_config_sec, 'REMOVE_OUTLIERS') - plot_meanshapes = config.getboolean(module_config_sec, 'PLOT_MEANSHAPES') - plot_histograms = config.getboolean(module_config_sec, 'PLOT_HISTOGRAMS') + x_nb_bins = config.getint(module_config_sec, "X_GRID") + y_nb_bins = config.getint(module_config_sec, "Y_GRID") + remove_outliers = config.getboolean(module_config_sec, "REMOVE_OUTLIERS") + plot_meanshapes = config.getboolean(module_config_sec, "PLOT_MEANSHAPES") + plot_histograms = config.getboolean(module_config_sec, "PLOT_HISTOGRAMS") # Get parameters for rho stats plots - plot_rho_stats = config.getboolean(module_config_sec, 'PLOT_RHO_STATS') - rho_stat_plot_style = config.get(module_config_sec, 'RHO_STATS_STYLE') + plot_rho_stats = config.getboolean(module_config_sec, "PLOT_RHO_STATS") + rho_stat_plot_style = config.get(module_config_sec, "RHO_STATS_STYLE") - if config.has_option(module_config_sec, 'RHO_STATS_YLIM_L'): - str_list = config.getlist(module_config_sec, 'RHO_STATS_YLIM_L') + if config.has_option(module_config_sec, "RHO_STATS_YLIM_L"): + str_list = config.getlist(module_config_sec, "RHO_STATS_YLIM_L") ylim_l = [float(s) for s in str_list] else: ylim_l = None - if config.has_option(module_config_sec, 'RHO_STATS_YLIM_R'): - str_list = config.getlist(module_config_sec, 'RHO_STATS_YLIM_R') + if config.has_option(module_config_sec, "RHO_STATS_YLIM_R"): + str_list = config.getlist(module_config_sec, "RHO_STATS_YLIM_R") ylim_r = [float(s) for s in str_list] else: ylim_r = None nb_pixel = x_nb_bins, y_nb_bins starcat_path = input_file_list[0][0] - output_path = run_dirs['output'] + '/' + output_path = run_dirs["output"] + "/" if plot_meanshapes or plot_histograms: if has_mpl: @@ -141,10 +143,10 @@ def mccd_plots_runner( ) else: msg = ( - '[!] In order to plot the Meanshapes the package ' - + '_matplotlib_ has to be correctly imported. This was not' - + ' the case, so the task is aborted. For the next time make' - + ' sure the package is installed.' + "[!] In order to plot the Meanshapes the package " + + "_matplotlib_ has to be correctly imported. This was not" + + " the case, so the task is aborted. For the next time make" + + " sure the package is installed." ) warnings.warn(msg) w_log.info(msg) @@ -152,9 +154,9 @@ def mccd_plots_runner( if plot_rho_stats: if has_stile is False or has_treecorr is False: msg = ( - '[!] To calculate the rho stats the packages ' - + 'stile and treecorr are required. However, ' - + f' treecorr: {has_treecorr}, stile: {has_stile}.' + "[!] To calculate the rho stats the packages " + + "stile and treecorr are required. However, " + + f" treecorr: {has_treecorr}, stile: {has_stile}." ) warnings.warn(msg) w_log.info(msg) diff --git a/shapepipe/modules/mccd_preprocessing_runner.py b/shapepipe/modules/mccd_preprocessing_runner.py index 7a5ac53cb..f15287cf5 100644 --- a/shapepipe/modules/mccd_preprocessing_runner.py +++ b/shapepipe/modules/mccd_preprocessing_runner.py @@ -6,6 +6,7 @@ :Author: Tobias Liaudat """ + import mccd from shapepipe.modules.mccd_package import shapepipe_auxiliary_mccd as aux_mccd @@ -13,12 +14,12 @@ @module_runner( - version='1.1', - input_module=['setools_runner'], - file_pattern=['star_split_ratio_80', 'star_split_ratio_20'], - file_ext=['.fits', '.fits'], - depends=['numpy', 'mccd', 'galsim', 'astropy'], - run_method='serial', + version="1.1", + input_module=["setools_runner"], + file_pattern=["star_split_ratio_80", "star_split_ratio_20"], + file_ext=[".fits", ".fits"], + depends=["numpy", "mccd", "galsim", "astropy"], + run_method="serial", ) def mccd_preprocessing_runner( input_file_list, @@ -30,9 +31,9 @@ def mccd_preprocessing_runner( ): """Define The MCCD Pre-processing Runner.""" # Recover the MCCD config file and its params - config_file_path = config.getexpanded(module_config_sec, 'CONFIG_PATH') - mccd_mode = config.get(module_config_sec, 'MODE') - verbose = config.getboolean(module_config_sec, 'VERBOSE') + config_file_path = config.getexpanded(module_config_sec, "CONFIG_PATH") + mccd_mode = config.get(module_config_sec, "MODE") + verbose = config.getboolean(module_config_sec, "VERBOSE") # Parse MCCD config file mccd_parser = mccd.auxiliary_fun.MCCDParamsParser(config_file_path) @@ -40,28 +41,28 @@ def mccd_preprocessing_runner( input_dict = mccd_parser.get_inputs_kw() # Extract useful parameters - separator = input_dict['separator'] - min_n_stars = input_dict['min_n_stars'] - outlier_std_max = input_dict['outlier_std_max'] + separator = input_dict["separator"] + min_n_stars = input_dict["min_n_stars"] + outlier_std_max = input_dict["outlier_std_max"] - if mccd_mode == 'FIT': + if mccd_mode == "FIT": input_file_pos_list = [0] - save_name_list = ['train_star_selection'] + save_name_list = ["train_star_selection"] min_n_stars_list = [min_n_stars] - elif mccd_mode == 'FIT_VALIDATION': + elif mccd_mode == "FIT_VALIDATION": if len(input_file_list[0]) == 1: input_file_pos_list = [0] - save_name_list = ['train_star_selection'] + save_name_list = ["train_star_selection"] min_n_stars_list = [min_n_stars] else: input_file_pos_list = [0, 1] - save_name_list = ['train_star_selection', 'test_star_selection'] + save_name_list = ["train_star_selection", "test_star_selection"] min_n_stars_list = [min_n_stars, 1] - elif mccd_mode == 'VALIDATION': + elif mccd_mode == "VALIDATION": input_file_pos_list = [0] - save_name_list = ['test_star_selection'] + save_name_list = ["test_star_selection"] min_n_stars_list = [1] else: @@ -72,7 +73,7 @@ def mccd_preprocessing_runner( # Use the outfile from the pipeline and ignore the output directory from # the MCCD config file # Output paths for both newly generates datasets - output_mccd_path = run_dirs['output'] + '/' + output_mccd_path = run_dirs["output"] + "/" [ aux_mccd.mccd_preprocessing_pipeline( @@ -85,12 +86,13 @@ def mccd_preprocessing_runner( outlier_std_max=outlier_std_max, save_masks=False, save_name=_save_name, - save_extension='.fits', + save_extension=".fits", verbose=verbose, print_fun=w_log.info, ) - for _input_pos, _save_name, _min_stars in - zip(input_file_pos_list, save_name_list, min_n_stars_list) + for _input_pos, _save_name, _min_stars in zip( + input_file_pos_list, save_name_list, min_n_stars_list + ) ] # No return objects diff --git a/shapepipe/modules/mccd_val_runner.py b/shapepipe/modules/mccd_val_runner.py index 73f1bcd07..dc0811fc1 100644 --- a/shapepipe/modules/mccd_val_runner.py +++ b/shapepipe/modules/mccd_val_runner.py @@ -13,13 +13,13 @@ @module_runner( - version='1.1', - input_module=['mccd_preprocessing_runner'], - file_pattern=['fitted_model', 'test_star_selection'], - file_ext=['.npy', '.fits'], - numbering_scheme='-0000000', - depends=['numpy', 'mccd', 'galsim'], - run_method='parallel', + version="1.1", + input_module=["mccd_preprocessing_runner"], + file_pattern=["fitted_model", "test_star_selection"], + file_ext=[".npy", ".fits"], + numbering_scheme="-0000000", + depends=["numpy", "mccd", "galsim"], + run_method="parallel", ) def mccd_val_runner( input_file_list, @@ -31,24 +31,24 @@ def mccd_val_runner( ): """Define The MCCD Validation Runner.""" # Recover the MCCD config file and its params - config_file_path = config.getexpanded(module_config_sec, 'CONFIG_PATH') - mccd_mode = config.get(module_config_sec, 'MODE') - verbose = config.getboolean(module_config_sec, 'VERBOSE') + config_file_path = config.getexpanded(module_config_sec, "CONFIG_PATH") + mccd_mode = config.get(module_config_sec, "MODE") + verbose = config.getboolean(module_config_sec, "VERBOSE") # Parse MCCD config file mccd_parser = mccd.auxiliary_fun.MCCDParamsParser(config_file_path) mccd_parser.parse_document() # Prepare inputs to run the main fit function - output_dir = run_dirs['output'] + '/' - val_saving_name = 'validation_psf' + output_dir = run_dirs["output"] + "/" + val_saving_name = "validation_psf" # Extract the MCCD model path mccd_model_path = input_file_list[0] # Validation stars are in the second position of the list teststar_path = input_file_list[1] - if mccd_mode == 'VALIDATION': + if mccd_mode == "VALIDATION": aux_mccd.mccd_validation_pipeline( teststar_path=teststar_path, @@ -62,7 +62,7 @@ def mccd_val_runner( else: raise ValueError( - 'The mccd_val_runner should only be called when the MODE is ' + "The mccd_val_runner should only be called when the MODE is " + '"VALIDATION".' ) diff --git a/shapepipe/modules/merge_headers_package/__init__.py b/shapepipe/modules/merge_headers_package/__init__.py index 48a972c14..ed8416790 100644 --- a/shapepipe/modules/merge_headers_package/__init__.py +++ b/shapepipe/modules/merge_headers_package/__init__.py @@ -25,4 +25,4 @@ """ -__all__ = ['merge_headers'] +__all__ = ["merge_headers"] diff --git a/shapepipe/modules/merge_headers_package/merge_headers.py b/shapepipe/modules/merge_headers_package/merge_headers.py index 95d3e9acc..5c0a2213e 100644 --- a/shapepipe/modules/merge_headers_package/merge_headers.py +++ b/shapepipe/modules/merge_headers_package/merge_headers.py @@ -36,14 +36,14 @@ def merge_headers(input_file_list, output_dir): """ if not isinstance(output_dir, str): raise TypeError( - 'Output directory for merge headers must be a string ' - + f'not {type(output_dir)}.' + "Output directory for merge headers must be a string " + + f"not {type(output_dir)}." ) # Open SqliteDict file - final_file = SqliteDict(f'{output_dir}/log_exp_headers.sqlite') + final_file = SqliteDict(f"{output_dir}/log_exp_headers.sqlite") # Set matching pattern - pattern = 'headers-' + pattern = "headers-" for file_path in input_file_list: # Extract file path diff --git a/shapepipe/modules/merge_headers_runner.py b/shapepipe/modules/merge_headers_runner.py index 9f64d6788..bfedc8a89 100644 --- a/shapepipe/modules/merge_headers_runner.py +++ b/shapepipe/modules/merge_headers_runner.py @@ -11,12 +11,12 @@ @module_runner( - input_module='split_exp_runner', - version='1.1', - file_pattern=['headers'], - file_ext=['.npy'], - depends=['numpy', 'sqlitedict'], - run_method='serial', + input_module="split_exp_runner", + version="1.1", + file_pattern=["headers"], + file_ext=[".npy"], + depends=["numpy", "sqlitedict"], + run_method="serial", ) def merge_headers_runner( input_file_list, @@ -28,12 +28,12 @@ def merge_headers_runner( ): """Define The Merge Headers Runner.""" # Set output directory - output_dir = run_dirs['output'] - if config.has_option(module_config_sec, 'OUTPUT_PATH'): - output_dir = config.getexpanded(module_config_sec, 'OUTPUT_PATH') + output_dir = run_dirs["output"] + if config.has_option(module_config_sec, "OUTPUT_PATH"): + output_dir = config.getexpanded(module_config_sec, "OUTPUT_PATH") # Log output directory - w_log.info(f'output_dir = {output_dir}') + w_log.info(f"output_dir = {output_dir}") # Merge header files merge_headers(input_file_list, output_dir) diff --git a/shapepipe/modules/merge_sep_cats_package/__init__.py b/shapepipe/modules/merge_sep_cats_package/__init__.py index d99553bf4..333e3d24c 100644 --- a/shapepipe/modules/merge_sep_cats_package/__init__.py +++ b/shapepipe/modules/merge_sep_cats_package/__init__.py @@ -34,4 +34,4 @@ """ -__all__ = ['merge_sep_cats.py'] +__all__ = ["merge_sep_cats.py"] diff --git a/shapepipe/modules/merge_sep_cats_package/merge_sep_cats.py b/shapepipe/modules/merge_sep_cats_package/merge_sep_cats.py index 1cc3c2131..5ecdb6fb0 100644 --- a/shapepipe/modules/merge_sep_cats_package/merge_sep_cats.py +++ b/shapepipe/modules/merge_sep_cats_package/merge_sep_cats.py @@ -51,7 +51,7 @@ def __init__( output_dir, n_split_max, warning, - w_log + w_log, ): self._input_file_list = input_file_list @@ -79,7 +79,7 @@ def process(self): input_path_n = [] input_path_n.append(input_file) for n in range(2, self._n_split_max + 1): - res = re.sub('1', str(n), input_file, 1) + res = re.sub("1", str(n), input_file, 1) input_path_n.append(res) # Open first catalogue, read number of extensions and columns @@ -111,7 +111,7 @@ def process(self): # data dimension = n_extension x n_column x n_obj data = {} for hdu_ind, ext_name in enumerate(list_ext_name): - if ext_name == 'PRIMARY': + if ext_name == "PRIMARY": continue data[ext_name] = {} for col_name in list_col_name: @@ -131,7 +131,7 @@ def process(self): + f" {len(list_ext_name_n)} HDUs, required are 6" ) for hdu_ind, ext_name in enumerate(list_ext_name): - if ext_name == 'PRIMARY': + if ext_name == "PRIMARY": continue if not ext_name in data: raise IndexError( @@ -139,35 +139,32 @@ def process(self): + f"{cat_path}" ) for col_name in list_col_name: - #print("MKDEBUG ", cat_path, ext_name, col_name) + # print("MKDEBUG ", cat_path, ext_name, col_name) data[ext_name][col_name] += list( cat.get_data(hdu_ind)[col_name] ) cat.close() else: - msg = f'Input catalogue \'{cat_path}\' not found' + msg = f"Input catalogue '{cat_path}' not found" warnings.warn(msg) - wmsg = f'Warning: {msg}' + wmsg = f"Warning: {msg}" self._w_log.info(wmsg) print(wmsg) # Save combined catalogue output_name = ( - f'{self._output_dir}/{self._file_pattern[idx]}' - + f'{self._file_number_string}{self._file_ext[idx]}' + f"{self._output_dir}/{self._file_pattern[idx]}" + + f"{self._file_number_string}{self._file_ext[idx]}" ) output = file_io.FITSCatalogue( - output_name, - open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite + output_name, open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite ) for hdu_ind, ext_name in enumerate(list_ext_name): - if ext_name == 'PRIMARY': + if ext_name == "PRIMARY": continue output.save_as_fits( - data[ext_name], - names=list_col_name, - ext_name=ext_name + data[ext_name], names=list_col_name, ext_name=ext_name ) return None, None diff --git a/shapepipe/modules/merge_sep_cats_runner.py b/shapepipe/modules/merge_sep_cats_runner.py index 5cae71a2a..927c79b76 100644 --- a/shapepipe/modules/merge_sep_cats_runner.py +++ b/shapepipe/modules/merge_sep_cats_runner.py @@ -12,11 +12,12 @@ @module_runner( - version='1.1', - input_module='ngmix_runner', - file_pattern=['ngmix'], - file_ext=['.fits'], - depends=['numpy']) + version="1.1", + input_module="ngmix_runner", + file_pattern=["ngmix"], + file_ext=[".fits"], + depends=["numpy"], +) def merge_sep_cats_runner( input_file_list, run_dirs, @@ -27,15 +28,15 @@ def merge_sep_cats_runner( ): """Define The Merge SEP Catalogues Runner.""" # Get config entries - n_split_max = config.getint(module_config_sec, 'N_SPLIT_MAX') + n_split_max = config.getint(module_config_sec, "N_SPLIT_MAX") - file_pattern = config.getlist(module_config_sec, 'FILE_PATTERN') - file_ext = config.getlist(module_config_sec, 'FILE_EXT') + file_pattern = config.getlist(module_config_sec, "FILE_PATTERN") + file_ext = config.getlist(module_config_sec, "FILE_EXT") - if config.has_option(module_config_sec, 'WARNING'): - warning = config.get(module_config_sec, 'WARNING') + if config.has_option(module_config_sec, "WARNING"): + warning = config.get(module_config_sec, "WARNING") else: - warning = 'error' + warning = "error" # Create merge sep cat class instance merge_sep_inst = MergeSep( @@ -43,7 +44,7 @@ def merge_sep_cats_runner( file_number_string, file_pattern, file_ext, - run_dirs['output'], + run_dirs["output"], n_split_max, warning, w_log, diff --git a/shapepipe/modules/merge_starcat_package/__init__.py b/shapepipe/modules/merge_starcat_package/__init__.py index d7657b46a..f407ac72c 100644 --- a/shapepipe/modules/merge_starcat_package/__init__.py +++ b/shapepipe/modules/merge_starcat_package/__init__.py @@ -28,4 +28,4 @@ """ -__all__ = ['merge_starcat'] +__all__ = ["merge_starcat"] diff --git a/shapepipe/modules/merge_starcat_package/merge_starcat.py b/shapepipe/modules/merge_starcat_package/merge_starcat.py index e0aa9eaa7..884c45498 100644 --- a/shapepipe/modules/merge_starcat_package/merge_starcat.py +++ b/shapepipe/modules/merge_starcat_package/merge_starcat.py @@ -45,7 +45,7 @@ def __init__( w_log, stamp_size=51, rad=10, - hdu_table=1 + hdu_table=1, ): self._input_file_list = input_file_list @@ -136,9 +136,7 @@ def mean_calc(values, sizes): Mean """ - mean = ( - np.nansum(np.array(values)) / np.nansum(np.array(sizes)) - ) + mean = np.nansum(np.array(values)) / np.nansum(np.array(sizes)) return mean @@ -186,7 +184,7 @@ def stats_calculator(val_ref, val_model): """ residual = val_ref - val_model - rmse = np.sqrt(np.mean(residual ** 2)) + rmse = np.sqrt(np.mean(residual**2)) mean = np.mean(residual) std_dev = np.std(residual) @@ -227,22 +225,25 @@ def process(self): idx = np.arange(0, shap[0]) jdx = np.arange(0, shap[1]) - inside_circle = np.sqrt( - (idx[np.newaxis, :] - cent[0]) ** 2 - + (jdx[:, np.newaxis] - cent[1]) ** 2 - ) <= self._rad + inside_circle = ( + np.sqrt( + (idx[np.newaxis, :] - cent[0]) ** 2 + + (jdx[:, np.newaxis] - cent[1]) ** 2 + ) + <= self._rad + ) my_mask[inside_circle] = True for name in self._input_file_list: starcat_j = fits.open(name[0], memmap=False) try: - stars = np.copy(starcat_j[self._hdu_table].data['VIGNET_LIST']) + stars = np.copy(starcat_j[self._hdu_table].data["VIGNET_LIST"]) except ValueError: - print(f'Error for file {name[0]}, check FITS file integrity') + print(f"Error for file {name[0]}, check FITS file integrity") raise stars[stars < -1e6] = 0 - psfs = np.copy(starcat_j[self._hdu_table].data['PSF_VIGNET_LIST']) + psfs = np.copy(starcat_j[self._hdu_table].data["PSF_VIGNET_LIST"]) # Pixel mse calculation pix_val = np.sum((stars - psfs) ** 2) @@ -250,7 +251,7 @@ def process(self): masked_diffs = np.array( [(_star - _psf)[my_mask] for _star, _psf in zip(stars, psfs)] ) - masked_pix_val = np.sum(masked_diffs ** 2) + masked_pix_val = np.sum(masked_diffs**2) masked_pix_sum = np.sum(masked_diffs) # Star noise variance (using masked stars) @@ -268,12 +269,11 @@ def process(self): # if pix_val < 1e20: # Normalised pixel mse calculation - stars_norm_vals = np.sqrt(np.sum(stars ** 2, axis=(1, 2))) - psfs_norm_vals = np.sqrt(np.sum(psfs ** 2, axis=(1, 2))) + stars_norm_vals = np.sqrt(np.sum(stars**2, axis=(1, 2))) + psfs_norm_vals = np.sqrt(np.sum(psfs**2, axis=(1, 2))) # Select non zero stars & psfs non_zero_elems = np.logical_and( - (psfs_norm_vals != 0), - (stars_norm_vals != 0) + (psfs_norm_vals != 0), (stars_norm_vals != 0) ) # Calculate the filtered mse calculation pix_filt_val = np.sum( @@ -286,7 +286,8 @@ def process(self): ( stars[non_zero_elems] / stars_norm_vals - psfs[non_zero_elems] / psfs_norm_vals - ) ** 2 + ) + ** 2 ) # Calculate sizes filt_size = stars[non_zero_elems].size @@ -313,56 +314,60 @@ def process(self): # positions x += list( - starcat_j[self._hdu_table].data['GLOB_POSITION_IMG_LIST'][:, 0] + starcat_j[self._hdu_table].data["GLOB_POSITION_IMG_LIST"][:, 0] ) y += list( - starcat_j[self._hdu_table].data['GLOB_POSITION_IMG_LIST'][:, 1] + starcat_j[self._hdu_table].data["GLOB_POSITION_IMG_LIST"][:, 1] ) # RA and DEC positions try: - ra += list(starcat_j[self._hdu_table].data['RA_LIST'][:]) - dec += list(starcat_j[self._hdu_table].data['DEC_LIST'][:]) + ra += list(starcat_j[self._hdu_table].data["RA_LIST"][:]) + dec += list(starcat_j[self._hdu_table].data["DEC_LIST"][:]) except Exception: - ra += list(np.zeros( - starcat_j[self._hdu_table].data[ - 'GLOB_POSITION_IMG_LIST' - ][:, 0].shape, - dtype=int, - )) - dec += list(np.zeros( - starcat_j[self._hdu_table].data[ - 'GLOB_POSITION_IMG_LIST' - ][:, 0].shape, - dtype=int, - )) + ra += list( + np.zeros( + starcat_j[self._hdu_table] + .data["GLOB_POSITION_IMG_LIST"][:, 0] + .shape, + dtype=int, + ) + ) + dec += list( + np.zeros( + starcat_j[self._hdu_table] + .data["GLOB_POSITION_IMG_LIST"][:, 0] + .shape, + dtype=int, + ) + ) # shapes (convert sigmas to R^2) g1_psf += list( - starcat_j[self._hdu_table].data['PSF_MOM_LIST'][:, 0] + starcat_j[self._hdu_table].data["PSF_MOM_LIST"][:, 0] ) g2_psf += list( - starcat_j[self._hdu_table].data['PSF_MOM_LIST'][:, 1] + starcat_j[self._hdu_table].data["PSF_MOM_LIST"][:, 1] ) size_psf += list( - starcat_j[self._hdu_table].data['PSF_MOM_LIST'][:, 2] ** 2 + starcat_j[self._hdu_table].data["PSF_MOM_LIST"][:, 2] ** 2 ) - g1 += list(starcat_j[self._hdu_table].data['STAR_MOM_LIST'][:, 0]) - g2 += list(starcat_j[self._hdu_table].data['STAR_MOM_LIST'][:, 1]) + g1 += list(starcat_j[self._hdu_table].data["STAR_MOM_LIST"][:, 0]) + g2 += list(starcat_j[self._hdu_table].data["STAR_MOM_LIST"][:, 1]) size += list( - starcat_j[self._hdu_table].data['STAR_MOM_LIST'][:, 2] ** 2 + starcat_j[self._hdu_table].data["STAR_MOM_LIST"][:, 2] ** 2 ) # flags flag_psf += list( - starcat_j[self._hdu_table].data['PSF_MOM_LIST'][:, 3] + starcat_j[self._hdu_table].data["PSF_MOM_LIST"][:, 3] ) flag_star += list( - starcat_j[self._hdu_table].data['STAR_MOM_LIST'][:, 3] + starcat_j[self._hdu_table].data["STAR_MOM_LIST"][:, 3] ) # ccd id list - ccd_nb += list(starcat_j[self._hdu_table].data['CCD_ID_LIST']) + ccd_nb += list(starcat_j[self._hdu_table].data["CCD_ID_LIST"]) starcat_j.close() @@ -372,43 +377,43 @@ def process(self): # Regular pixel RMSE tot_pixel_rmse = MSC.rmse_calc(pixel_mse, size_mse) self._w_log.info( - f'MCCD_merge_starcat: Regular Total pixel RMSE =' - + f' {tot_pixel_rmse:.5e}\n' + f"MCCD_merge_starcat: Regular Total pixel RMSE =" + + f" {tot_pixel_rmse:.5e}\n" ) # Regular Total pixel mean tot_pixel_mean = MSC.mean_calc(pixel_sum, size_mse) self._w_log.info( - f'MCCD_merge_starcat: Regular Total pixel mean =' - + f' {tot_pixel_mean:.5e}\n' + f"MCCD_merge_starcat: Regular Total pixel mean =" + + f" {tot_pixel_mean:.5e}\n" ) # Regular Total MASKED pixel RMSE tot_masked_pixel_rmse = MSC.rmse_calc(masked_pixel_mse, masked_size) self._w_log.info( - f'MCCD_merge_starcat: Regular Total MASKED pixel RMSE =' - + f' {tot_masked_pixel_rmse:.5e}\n' + f"MCCD_merge_starcat: Regular Total MASKED pixel RMSE =" + + f" {tot_masked_pixel_rmse:.5e}\n" ) # Regular Total MASKED pixel mean tot_masked_pixel_mean = MSC.mean_calc(masked_pixel_sum, masked_size) self._w_log.info( - f'MCCD_merge_starcat: Regular Total MASKED pixel mean =' - + f' {tot_masked_pixel_mean:.5e}\n' + f"MCCD_merge_starcat: Regular Total MASKED pixel mean =" + + f" {tot_masked_pixel_mean:.5e}\n" ) # Normalized pixel RMSE tot_pix_norm_rmse = MSC.rmse_calc(pix_norm_mse, size_norm_mse) self._w_log.info( - 'MCCD_merge_starcat: Normalized Total pixel RMSE =' - + f' {tot_pix_norm_rmse:.5e}\n' + "MCCD_merge_starcat: Normalized Total pixel RMSE =" + + f" {tot_pix_norm_rmse:.5e}\n" ) # Normalized filtered pixel RMSE tot_pix_filt_rmse = MSC.rmse_calc(pix_filt_mse, size_filt_mse) self._w_log.info( - 'MCCD_merge_starcat: Filtered Total pixel RMSE =' - + f' {tot_pix_filt_rmse:.5e}\n' + "MCCD_merge_starcat: Filtered Total pixel RMSE =" + + f" {tot_pix_filt_rmse:.5e}\n" ) concat_model_var = np.concatenate(np.array(model_var)) @@ -419,9 +424,9 @@ def process(self): std_model_var = MSC.std_calc(concat_model_var) rmse_model_var = MSC.rmse_calc_2(concat_model_var, model_var_size) self._w_log.info( - f'MCCD-RCA variance:\nMean Variance= {mean_model_var:.5e}\n' - + f'Std Variance= {std_model_var:.5e}\n' - + f'RMSE Variance= {rmse_model_var:.5e}\n' + f"MCCD-RCA variance:\nMean Variance= {mean_model_var:.5e}\n" + + f"Std Variance= {std_model_var:.5e}\n" + + f"RMSE Variance= {rmse_model_var:.5e}\n" ) # Star Noise Variance @@ -429,14 +434,14 @@ def process(self): std_star_var = MSC.std_calc(concat_star_noise_var) rmse_star_var = MSC.rmse_calc_2(concat_star_noise_var, star_noise_size) self._w_log.info( - f'Masked stars variance:\nMean Variance= {mean_star_var:.5e}\n' - + f'Std Variance= {std_star_var:.5e}\n' - + f'RMSE Variance= {rmse_star_var:.5e}\n' + f"Masked stars variance:\nMean Variance= {mean_star_var:.5e}\n" + + f"Std Variance= {std_star_var:.5e}\n" + + f"RMSE Variance= {rmse_star_var:.5e}\n" ) # Mask and transform to numpy arrays - flagmask = ( - np.abs(np.array(flag_star) - 1) * np.abs(np.array(flag_psf) - 1) + flagmask = np.abs(np.array(flag_star) - 1) * np.abs( + np.array(flag_psf) - 1 ) psf_e1 = np.array(g1_psf)[flagmask.astype(bool)] psf_e2 = np.array(g2_psf)[flagmask.astype(bool)] @@ -447,47 +452,47 @@ def process(self): rmse, mean, std_dev = MSC.stats_calculator(star_e1, psf_e1) self._w_log.info( - f'Moment residual e1:\nMean= {mean:.5e}\nStd Dev= {std_dev:.5e}\n' - + f'RMSE= {rmse:.5e}\n' + f"Moment residual e1:\nMean= {mean:.5e}\nStd Dev= {std_dev:.5e}\n" + + f"RMSE= {rmse:.5e}\n" ) rmse, mean, std_dev = MSC.stats_calculator(star_e2, psf_e2) self._w_log.info( - f'Moment residual e2:\nMean= {mean:.5e}\nStd Dev= {std_dev:.5e}\n' - + f'RMSE= {rmse:.5e}\n' + f"Moment residual e2:\nMean= {mean:.5e}\nStd Dev= {std_dev:.5e}\n" + + f"RMSE= {rmse:.5e}\n" ) rmse, mean, std_dev = MSC.stats_calculator(star_r2, psf_r2) self._w_log.info( - f'Moment residual R2:\nMean= {mean:.5e}\nStd Dev= {std_dev:.5e}\n' - + f'RMSE= {rmse:.5e}\n' + f"Moment residual R2:\nMean= {mean:.5e}\nStd Dev= {std_dev:.5e}\n" + + f"RMSE= {rmse:.5e}\n" ) - self._w_log.info(f'MCCD: Number of stars: {star_e1.shape[0]:d}') + self._w_log.info(f"MCCD: Number of stars: {star_e1.shape[0]:d}") # Prepare output FITS catalogue output = file_io.FITSCatalogue( - f'{self._output_dir}/full_starcat-0000000.fits', + f"{self._output_dir}/full_starcat-0000000.fits", open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite, - SEx_catalogue=True + SEx_catalogue=True, ) # Collect columns # convert back to sigma for consistency data = { - 'X': x, - 'Y': y, - 'RA': ra, - 'DEC': dec, - 'E1_PSF_HSM': g1_psf, - 'E2_PSF_HSM': g2_psf, - 'SIGMA_PSF_HSM': np.sqrt(size_psf), - 'E1_STAR_HSM': g1, - 'E2_STAR_HSM': g2, - 'SIGMA_STAR_HSM': np.sqrt(size), - 'FLAG_PSF_HSM': flag_psf, - 'FLAG_STAR_HSM': flag_star, - 'CCD_NB': ccd_nb + "X": x, + "Y": y, + "RA": ra, + "DEC": dec, + "E1_PSF_HSM": g1_psf, + "E2_PSF_HSM": g2_psf, + "SIGMA_PSF_HSM": np.sqrt(size_psf), + "E1_STAR_HSM": g1, + "E2_STAR_HSM": g2, + "SIGMA_STAR_HSM": np.sqrt(size), + "FLAG_PSF_HSM": flag_psf, + "FLAG_STAR_HSM": flag_star, + "CCD_NB": ccd_nb, } # Write file @@ -533,7 +538,7 @@ def process(self): ccd_nb = [] self._w_log.info( - f'Merging {len(self._input_file_list)} star catalogues' + f"Merging {len(self._input_file_list)} star catalogues" ) for name in self._input_file_list: @@ -542,49 +547,49 @@ def process(self): data_j = starcat_j[self._hdu_table].data # positions - x += list(data_j['X']) - y += list(data_j['Y']) - ra += list(data_j['RA']) - dec += list(data_j['DEC']) + x += list(data_j["X"]) + y += list(data_j["Y"]) + ra += list(data_j["RA"]) + dec += list(data_j["DEC"]) # shapes (convert sigmas to R^2) - g1_psf += list(data_j['E1_PSF_HSM']) - g2_psf += list(data_j['E2_PSF_HSM']) - size_psf += list(data_j['SIGMA_PSF_HSM']**2) - g1 += list(data_j['E1_STAR_HSM']) - g2 += list(data_j['E2_STAR_HSM']) - size += list(data_j['SIGMA_STAR_HSM']**2) + g1_psf += list(data_j["E1_PSF_HSM"]) + g2_psf += list(data_j["E2_PSF_HSM"]) + size_psf += list(data_j["SIGMA_PSF_HSM"] ** 2) + g1 += list(data_j["E1_STAR_HSM"]) + g2 += list(data_j["E2_STAR_HSM"]) + size += list(data_j["SIGMA_STAR_HSM"] ** 2) # flags - flag_psf += list(data_j['FLAG_PSF_HSM']) - flag_star += list(data_j['FLAG_STAR_HSM']) + flag_psf += list(data_j["FLAG_PSF_HSM"]) + flag_star += list(data_j["FLAG_STAR_HSM"]) # misc # MKDEBUG: The following columns do not exist (yet) # for psf converted (pix2wcs) files. try: - mag += list(data_j['MAG']) + mag += list(data_j["MAG"]) except: mag += list(np.zeros_like(data_j["X"])) try: - snr += list(data_j['SNR']) + snr += list(data_j["SNR"]) except: snr += list(np.zeros_like(data_j["X"])) try: - psfex_acc += list(data_j['ACCEPTED']) + psfex_acc += list(data_j["ACCEPTED"]) except: psfex_acc += list(np.zeros_like(data_j["X"])) # CCD number - ccd_nb += [ - re.split(r"\-([0-9]*)\-([0-9]+)\.", name[0])[-2] - ] * len(data_j['RA']) + ccd_nb += [re.split(r"\-([0-9]*)\-([0-9]+)\.", name[0])[-2]] * len( + data_j["RA"] + ) # Prepare output FITS catalogue # MKDEBUG: SEx_cat=True -> False output = file_io.FITSCatalogue( - f'{self._output_dir}/full_starcat-0000000.fits', + f"{self._output_dir}/full_starcat-0000000.fits", open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite, SEx_catalogue=False, ) @@ -592,22 +597,22 @@ def process(self): # Collect columns # convert back to sigma for consistency data = { - 'X': x, - 'Y': y, - 'RA': ra, - 'DEC': dec, - 'E1_PSF_HSM': g1_psf, - 'E2_PSF_HSM': g2_psf, - 'SIGMA_PSF_HSM': np.sqrt(size_psf), - 'E1_STAR_HSM': g1, - 'E2_STAR_HSM': g2, - 'SIGMA_STAR_HSM': np.sqrt(size), - 'FLAG_PSF_HSM': flag_psf, - 'FLAG_STAR_HSM': flag_star, - 'MAG': mag, - 'SNR': snr, - 'ACCEPTED': psfex_acc, - 'CCD_NB': ccd_nb + "X": x, + "Y": y, + "RA": ra, + "DEC": dec, + "E1_PSF_HSM": g1_psf, + "E2_PSF_HSM": g2_psf, + "SIGMA_PSF_HSM": np.sqrt(size_psf), + "E1_STAR_HSM": g1, + "E2_STAR_HSM": g2, + "SIGMA_STAR_HSM": np.sqrt(size), + "FLAG_PSF_HSM": flag_psf, + "FLAG_STAR_HSM": flag_star, + "MAG": mag, + "SNR": snr, + "ACCEPTED": psfex_acc, + "CCD_NB": ccd_nb, } # Write file @@ -617,7 +622,7 @@ def process(self): data, overwrite=True, ) - #sex_cat_path=self._input_file_list[0][0], + # sex_cat_path=self._input_file_list[0][0], class MergeStarCatSetools(object): @@ -668,9 +673,9 @@ def get_moments(cls, data): """ # SExtractor output. First and second moments are normalised. # Second moments are centred. - q11 = 'X2WIN_IMAGE' - q22 = 'Y2WIN_IMAGE' - q12 = 'XYWIN_IMAGE' + q11 = "X2WIN_IMAGE" + q22 = "Y2WIN_IMAGE" + q12 = "XYWIN_IMAGE" # Second moments m11 = data[q12] @@ -702,13 +707,13 @@ def get_ellipticity(cls, m11, m20, m02, typ): ellipticity components """ - if typ == 'epsilon': + if typ == "epsilon": # Determinant = (Q_11 Q_22 - Q_12^2)^(1/2) det = np.sqrt(m20 * m02 - m11 * m11) - elif typ == 'chi': + elif typ == "chi": det = 0 else: - raise ValueError(f'Invalid ellipticity type {type}') + raise ValueError(f"Invalid ellipticity type {type}") # Denominator = Q_11 + Q_22 [ + 2 * det] den = m20 + m02 + 2 * det @@ -716,7 +721,7 @@ def get_ellipticity(cls, m11, m20, m02, typ): # Ellipticity = (Q_11 - Q_22 + 2 i Q_12) / den ell = (m20 - m02 + 1j * 2 * m11) / den - if type == 'chi': + if type == "chi": # chi estimates 2*g, so to get g we have to divide by 2 ell = ell / 2 @@ -735,7 +740,7 @@ def process(self): ccd_nb = [] self._w_log.info( - f'Merging {len(self._input_file_list)} star catalogues' + f"Merging {len(self._input_file_list)} star catalogues" ) for name in self._input_file_list: @@ -744,54 +749,54 @@ def process(self): data_j = starcat_j[self._hdu_table].data # positions - x += list(data_j['XWIN_IMAGE']) - y += list(data_j['YWIN_IMAGE']) - ra += list(data_j['XWIN_WORLD']) - dec += list(data_j['YWIN_WORLD']) + x += list(data_j["XWIN_IMAGE"]) + y += list(data_j["YWIN_IMAGE"]) + ra += list(data_j["XWIN_WORLD"]) + dec += list(data_j["YWIN_WORLD"]) m11, m20, m02 = self.get_moments(data_j) - eps1, eps2 = self.get_ellipticity(m11, m20, m02, 'epsilon') - chi1, chi2 = self.get_ellipticity(m11, m20, m02, 'chi') + eps1, eps2 = self.get_ellipticity(m11, m20, m02, "epsilon") + chi1, chi2 = self.get_ellipticity(m11, m20, m02, "chi") - size += list(data_j['FLUX_RADIUS']) + size += list(data_j["FLUX_RADIUS"]) # flags - flags += list(data_j['FLAGS_WIN']) - flags_ext += list(data_j['IMAFLAGS_ISO']) + flags += list(data_j["FLAGS_WIN"]) + flags_ext += list(data_j["IMAFLAGS_ISO"]) # misc - mag += list(data_j['MAG_WIN']) - snr += list(data_j['SNR_WIN']) + mag += list(data_j["MAG_WIN"]) + snr += list(data_j["SNR_WIN"]) # CCD number - ccd_nb += [ - re.split(r"\-([0-9]*)\-([0-9]+)\.", name[0])[-2] - ] * len(data_j['XWIN_IMAGE']) + ccd_nb += [re.split(r"\-([0-9]*)\-([0-9]+)\.", name[0])[-2]] * len( + data_j["XWIN_IMAGE"] + ) # Prepare output FITS catalogue output = file_io.FITSCatalogue( - f'{self._output_dir}/full_starcat-0000000.fits', + f"{self._output_dir}/full_starcat-0000000.fits", open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite, - SEx_catalogue=True + SEx_catalogue=True, ) # Collect columns # convert back to sigma for consistency data = { - 'X': x, - 'Y': y, - 'RA': ra, - 'DEC': dec, - 'EPS1': eps1, - 'EPS2': eps2, - 'CHI1': chi1, - 'CHI2': chi2, - 'SIZE': size, - 'FLAGS': flags, - 'FLAGS_EXT': flags_ext, - 'MAG': mag, - 'SNR': snr, - 'CCD_NB': ccd_nb, + "X": x, + "Y": y, + "RA": ra, + "DEC": dec, + "EPS1": eps1, + "EPS2": eps2, + "CHI1": chi1, + "CHI2": chi2, + "SIZE": size, + "FLAGS": flags, + "FLAGS_EXT": flags_ext, + "MAG": mag, + "SNR": snr, + "CCD_NB": ccd_nb, } # Write file diff --git a/shapepipe/modules/merge_starcat_runner.py b/shapepipe/modules/merge_starcat_runner.py index d1f388a96..5213809a6 100644 --- a/shapepipe/modules/merge_starcat_runner.py +++ b/shapepipe/modules/merge_starcat_runner.py @@ -11,13 +11,13 @@ @module_runner( - version='1.1', - input_module=['mccd_fit_val_runner'], - file_pattern=['validation_psf'], - file_ext=['.fits'], - numbering_scheme='-0000000', - depends=['numpy', 'astropy'], - run_method='serial', + version="1.1", + input_module=["mccd_fit_val_runner"], + file_pattern=["validation_psf"], + file_ext=[".fits"], + numbering_scheme="-0000000", + depends=["numpy", "astropy"], + run_method="serial", ) def merge_starcat_runner( input_file_list, @@ -29,29 +29,29 @@ def merge_starcat_runner( ): """Define The Merge Star Catalogues Runner.""" # Read config file options - psf_model = config.get(module_config_sec, 'PSF_MODEL') - allowed_psf_models = ('psfex', 'mccd', 'setools') + psf_model = config.get(module_config_sec, "PSF_MODEL") + allowed_psf_models = ("psfex", "mccd", "setools") if psf_model not in allowed_psf_models: raise ValueError( - f'Invalid config entry PSF_MODEL={psf_model} found, ' - + f'needs to be one of {allowed_psf_models}' + f"Invalid config entry PSF_MODEL={psf_model} found, " + + f"needs to be one of {allowed_psf_models}" ) # Get input catalogue HDU number - if config.has_option(module_config_sec, 'HDU'): - hdu = config.getint(module_config_sec, 'HDU') + if config.has_option(module_config_sec, "HDU"): + hdu = config.getint(module_config_sec, "HDU") else: hdu = 1 # Set output directory - output_dir = run_dirs['output'] + output_dir = run_dirs["output"] # Set merge class to use - if psf_model == 'mccd': + if psf_model == "mccd": MSC = merge_starcat.MergeStarCatMCCD - elif psf_model == 'psfex': + elif psf_model == "psfex": MSC = merge_starcat.MergeStarCatPSFEX - elif psf_model == 'setools': + elif psf_model == "setools": MSC = merge_starcat.MergeStarCatSetools # Create instance of merge class diff --git a/shapepipe/modules/module_decorator.py b/shapepipe/modules/module_decorator.py index 17911b49d..1ad480465 100644 --- a/shapepipe/modules/module_decorator.py +++ b/shapepipe/modules/module_decorator.py @@ -8,14 +8,14 @@ def module_runner( - version='0.0', + version="0.0", input_module=None, - file_pattern='', - file_ext='', + file_pattern="", + file_ext="", depends=[], executes=[], numbering_scheme=None, - run_method='parallel', + run_method="parallel", ): """Wrap Module Runners. @@ -63,41 +63,39 @@ def module_runner( """ if not isinstance(version, str): - raise TypeError('Module version must be a string.') + raise TypeError("Module version must be a string.") if isinstance(input_module, str): input_module = [input_module] elif not isinstance(input_module, (list, type(None))): - raise TypeError('Input module must be a list or a string.') + raise TypeError("Input module must be a list or a string.") if isinstance(file_pattern, str): file_pattern = [file_pattern] elif not isinstance(file_pattern, list): - raise TypeError('File pattern must be a string or a list of strings.') + raise TypeError("File pattern must be a string or a list of strings.") if isinstance(file_ext, str): file_ext = [file_ext] elif not isinstance(file_ext, list): - raise TypeError( - 'File extension must be a string or a list of strings.' - ) + raise TypeError("File extension must be a string or a list of strings.") if isinstance(depends, str): depends = [depends] elif not isinstance(depends, list): - raise TypeError('Dependencies must be a string or a list of strings.') + raise TypeError("Dependencies must be a string or a list of strings.") if isinstance(executes, str): executes = [executes] elif not isinstance(executes, list): - raise TypeError('Executables must be a string or a list of strings.') + raise TypeError("Executables must be a string or a list of strings.") if not isinstance(numbering_scheme, (str, type(None))): raise TypeError( - f'Numbering scheme must be a string, found \'{numbering_scheme}\'.' + f"Numbering scheme must be a string, found '{numbering_scheme}'." ) - if run_method not in {'parallel', 'serial'}: + if run_method not in {"parallel", "serial"}: raise ValueError('Run method must be a "parallel" or "serial".') if (len(file_ext) == 1) and (len(file_pattern) > 1): @@ -105,9 +103,9 @@ def module_runner( if len(file_ext) != len(file_pattern): raise ValueError( - f'The number of file_ext values ({len(file_ext)}) does not match ' - + f'the number of file_pattern values ({len(file_pattern)}) in ' - + 'the module decorator.' + f"The number of file_ext values ({len(file_ext)}) does not match " + + f"the number of file_pattern values ({len(file_pattern)}) in " + + "the module decorator." ) def decorator(func): diff --git a/shapepipe/modules/module_runners.py b/shapepipe/modules/module_runners.py index 74a48ce50..eddee6eb0 100644 --- a/shapepipe/modules/module_runners.py +++ b/shapepipe/modules/module_runners.py @@ -25,17 +25,19 @@ def get_module_runners(modules): Dictionary of module runners """ - package = 'shapepipe.modules' + package = "shapepipe.modules" - module_runners = dict([ - ( - module, - getattr( - import_module(f'.{module}', package=package), + module_runners = dict( + [ + ( module, + getattr( + import_module(f".{module}", package=package), + module, + ), ) - ) - for module in modules - ]) + for module in modules + ] + ) return module_runners diff --git a/shapepipe/modules/ngmix_package/__init__.py b/shapepipe/modules/ngmix_package/__init__.py index e74d71f76..909631097 100644 --- a/shapepipe/modules/ngmix_package/__init__.py +++ b/shapepipe/modules/ngmix_package/__init__.py @@ -41,4 +41,4 @@ """ -__all__ = ['ngmix'] +__all__ = ["ngmix"] diff --git a/shapepipe/modules/ngmix_package/ngmix.py b/shapepipe/modules/ngmix_package/ngmix.py index 7cb614a42..bbecafe8a 100644 --- a/shapepipe/modules/ngmix_package/ngmix.py +++ b/shapepipe/modules/ngmix_package/ngmix.py @@ -66,13 +66,13 @@ def __init__( f_wcs_path, w_log, id_obj_min=-1, - id_obj_max=-1 + id_obj_max=-1, ): if len(input_file_list) != 6: raise IndexError( - f'Input file list has length {len(input_file_list)},' - + ' required is 6' + f"Input file list has length {len(input_file_list)}," + + " required is 6" ) self._tile_cat_path = input_file_list[0] @@ -95,9 +95,9 @@ def __init__( self._w_log = w_log # Initiatlise random generator - seed = int(''.join(re.findall(r'\d+', self._file_number_string))) + seed = int("".join(re.findall(r"\d+", self._file_number_string))) np.random.seed(seed) - self._w_log.info(f'Random generator initialisation seed = {seed}') + self._w_log.info(f"Random generator initialisation seed = {seed}") @classmethod def MegaCamFlip(self, vign, ccd_nb): @@ -153,21 +153,18 @@ def get_prior(self): # Size prior. Instead of flat, two-sided error function (TwoSidedErf) # could be used Tminval = -10.0 # arcsec squared - Tmaxval = 1.e6 + Tmaxval = 1.0e6 T_prior = ngmix.priors.FlatPrior(Tminval, Tmaxval) # Flux prior. Bounds need to make sense for # images in question - Fminval = -1.e4 - Fmaxval = 1.e9 + Fminval = -1.0e4 + Fmaxval = 1.0e9 F_prior = ngmix.priors.FlatPrior(Fminval, Fmaxval) # Joint prior, combine all individual priors prior = ngmix.joint_prior.PriorSimpleSep( - cen_prior, - g_prior, - T_prior, - F_prior + cen_prior, g_prior, T_prior, F_prior ) return prior @@ -193,112 +190,107 @@ def compile_results(self, results): If SNR key not found """ - names = ['1m', '1p', '2m', '2p', 'noshear'] + names = ["1m", "1p", "2m", "2p", "noshear"] names2 = [ - 'id', - 'n_epoch_model', - 'moments_fail', - 'ntry_fit', - 'g1_psfo_ngmix', - 'g2_psfo_ngmix', - 'T_psfo_ngmix', - 'g1_err_psfo_ngmix', - 'g2_err_psfo_ngmix', - 'T_err_psfo_ngmix', - 'g1', - 'g1_err', - 'g2', - 'g2_err', - 'T', - 'T_err', - 'Tpsf', - 'g1_psf', - 'g2_psf', - 'flux', - 'flux_err', - 's2n', - 'mag', - 'mag_err', - 'flags', - 'mcal_flags' + "id", + "n_epoch_model", + "moments_fail", + "ntry_fit", + "g1_psfo_ngmix", + "g2_psfo_ngmix", + "T_psfo_ngmix", + "g1_err_psfo_ngmix", + "g2_err_psfo_ngmix", + "T_err_psfo_ngmix", + "g1", + "g1_err", + "g2", + "g2_err", + "T", + "T_err", + "Tpsf", + "g1_psf", + "g2_psf", + "flux", + "flux_err", + "s2n", + "mag", + "mag_err", + "flags", + "mcal_flags", ] output_dict = {k: {kk: [] for kk in names2} for k in names} for idx in range(len(results)): for name in names: mag = ( - -2.5 * np.log10(results[idx][name]['flux']) + -2.5 * np.log10(results[idx][name]["flux"]) + self._zero_point ) mag_err = np.abs( - -2.5 * results[idx][name]['flux_err'] - / (results[idx][name]['flux'] * np.log(10)) + -2.5 + * results[idx][name]["flux_err"] + / (results[idx][name]["flux"] * np.log(10)) ) - output_dict[name]['id'].append(results[idx]['obj_id']) - output_dict[name]['n_epoch_model'].append( - results[idx]['n_epoch_model'] + output_dict[name]["id"].append(results[idx]["obj_id"]) + output_dict[name]["n_epoch_model"].append( + results[idx]["n_epoch_model"] ) - output_dict[name]['moments_fail'].append( - results[idx]['moments_fail'] + output_dict[name]["moments_fail"].append( + results[idx]["moments_fail"] ) - output_dict[name]['ntry_fit'].append( - results[idx][name]['ntry'] + output_dict[name]["ntry_fit"].append(results[idx][name]["ntry"]) + output_dict[name]["g1_psfo_ngmix"].append( + results[idx]["g_PSFo"][0] ) - output_dict[name]['g1_psfo_ngmix'].append( - results[idx]['g_PSFo'][0] + output_dict[name]["g2_psfo_ngmix"].append( + results[idx]["g_PSFo"][1] ) - output_dict[name]['g2_psfo_ngmix'].append( - results[idx]['g_PSFo'][1] + output_dict[name]["g1_err_psfo_ngmix"].append( + results[idx]["g_err_PSFo"][0] ) - output_dict[name]['g1_err_psfo_ngmix'].append( - results[idx]['g_err_PSFo'][0] + output_dict[name]["g2_err_psfo_ngmix"].append( + results[idx]["g_err_PSFo"][1] ) - output_dict[name]['g2_err_psfo_ngmix'].append( - results[idx]['g_err_PSFo'][1] + output_dict[name]["T_psfo_ngmix"].append(results[idx]["T_PSFo"]) + output_dict[name]["T_err_psfo_ngmix"].append( + results[idx]["T_err_PSFo"] ) - output_dict[name]['T_psfo_ngmix'].append( - results[idx]['T_PSFo'] + output_dict[name]["g1"].append(results[idx][name]["g"][0]) + output_dict[name]["g1_err"].append( + results[idx][name]["pars_err"][2] ) - output_dict[name]['T_err_psfo_ngmix'].append( - results[idx]['T_err_PSFo'] + output_dict[name]["g2"].append(results[idx][name]["g"][1]) + output_dict[name]["g2_err"].append( + results[idx][name]["pars_err"][3] ) - output_dict[name]['g1'].append(results[idx][name]['g'][0]) - output_dict[name]['g1_err'].append( - results[idx][name]['pars_err'][2] + output_dict[name]["T"].append(results[idx][name]["T"]) + output_dict[name]["T_err"].append(results[idx][name]["T_err"]) + output_dict[name]["Tpsf"].append(results[idx][name]["Tpsf"]) + output_dict[name]["g1_psf"].append( + results[idx][name]["gpsf"][0] ) - output_dict[name]['g2'].append(results[idx][name]['g'][1]) - output_dict[name]['g2_err'].append( - results[idx][name]['pars_err'][3] + output_dict[name]["g2_psf"].append( + results[idx][name]["gpsf"][1] ) - output_dict[name]['T'].append(results[idx][name]['T']) - output_dict[name]['T_err'].append(results[idx][name]['T_err']) - output_dict[name]['Tpsf'].append(results[idx][name]['Tpsf']) - output_dict[name]['g1_psf'].append( - results[idx][name]['gpsf'][0] + output_dict[name]["flux"].append(results[idx][name]["flux"]) + output_dict[name]["flux_err"].append( + results[idx][name]["flux_err"] ) - output_dict[name]['g2_psf'].append( - results[idx][name]['gpsf'][1] - ) - output_dict[name]['flux'].append(results[idx][name]['flux']) - output_dict[name]['flux_err'].append( - results[idx][name]['flux_err'] - ) - output_dict[name]['mag'].append(mag) - output_dict[name]['mag_err'].append(mag_err) - - if 's2n' in results[idx][name]: - output_dict[name]['s2n'].append(results[idx][name]['s2n']) - elif 's2n_r' in results[idx][name]: - output_dict[name]['s2n'].append( - results[idx][name]['s2n_r'] - ) + output_dict[name]["mag"].append(mag) + output_dict[name]["mag_err"].append(mag_err) + + if "s2n" in results[idx][name]: + output_dict[name]["s2n"].append(results[idx][name]["s2n"]) + elif "s2n_r" in results[idx][name]: + output_dict[name]["s2n"].append(results[idx][name]["s2n_r"]) else: - raise KeyError('No SNR key (s2n, s2n_r) found in results') + raise KeyError("No SNR key (s2n, s2n_r) found in results") - output_dict[name]['flags'].append(results[idx][name]['flags']) - output_dict[name]['mcal_flags'].append( - results[idx]['mcal_flags'] + output_dict[name]["flags"].append(results[idx][name]["flags"]) + output_dict[name]["mcal_flags"].append( + results[idx]["mcal_flags"] ) return output_dict @@ -314,13 +306,10 @@ def save_results(self, output_dict): Dictionary containing the results """ - output_name = ( - f'{self._output_dir}/ngmix{self._file_number_string}.fits' - ) + output_name = f"{self._output_dir}/ngmix{self._file_number_string}.fits" f = file_io.FITSCatalogue( - output_name, - open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite + output_name, open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite ) for key in output_dict.keys(): @@ -342,10 +331,10 @@ def process(self): SEx_catalogue=True, ) tile_cat.open() - obj_id = np.copy(tile_cat.get_data()['NUMBER']) - tile_vign = np.copy(tile_cat.get_data()['VIGNET']) - tile_ra = np.copy(tile_cat.get_data()['XWIN_WORLD']) - tile_dec = np.copy(tile_cat.get_data()['YWIN_WORLD']) + obj_id = np.copy(tile_cat.get_data()["NUMBER"]) + tile_vign = np.copy(tile_cat.get_data()["VIGNET"]) + tile_ra = np.copy(tile_cat.get_data()["XWIN_WORLD"]) + tile_dec = np.copy(tile_cat.get_data()["YWIN_WORLD"]) tile_cat.close() f_wcs_file = SqliteDict(self._f_wcs_path) @@ -381,64 +370,63 @@ def process(self): weight_vign = [] flag_vign = [] jacob_list = [] - if ( - (psf_vign_cat[str(id_tmp)] == 'empty') - or (gal_vign_cat[str(id_tmp)] == 'empty') + if (psf_vign_cat[str(id_tmp)] == "empty") or ( + gal_vign_cat[str(id_tmp)] == "empty" ): continue psf_expccd_name = list(psf_vign_cat[str(id_tmp)].keys()) for expccd_name_tmp in psf_expccd_name: - exp_name, ccd_n = re.split('-', expccd_name_tmp) + exp_name, ccd_n = re.split("-", expccd_name_tmp) - gal_vign_tmp = ( - gal_vign_cat[str(id_tmp)][expccd_name_tmp]['VIGNET'] - ) + gal_vign_tmp = gal_vign_cat[str(id_tmp)][expccd_name_tmp][ + "VIGNET" + ] if len(np.where(gal_vign_tmp.ravel() == 0)[0]) != 0: continue - bkg_vign_tmp = ( - bkg_vign_cat[str(id_tmp)][expccd_name_tmp]['VIGNET'] - ) + bkg_vign_tmp = bkg_vign_cat[str(id_tmp)][expccd_name_tmp][ + "VIGNET" + ] gal_vign_sub_bkg = gal_vign_tmp - bkg_vign_tmp - tile_vign_tmp = ( - Ngmix.MegaCamFlip(np.copy(tile_vign[i_tile]), int(ccd_n)) + tile_vign_tmp = Ngmix.MegaCamFlip( + np.copy(tile_vign[i_tile]), int(ccd_n) ) - flag_vign_tmp = ( - flag_vign_cat[str(id_tmp)][expccd_name_tmp]['VIGNET'] - ) + flag_vign_tmp = flag_vign_cat[str(id_tmp)][expccd_name_tmp][ + "VIGNET" + ] flag_vign_tmp[np.where(tile_vign_tmp == -1e30)] = 2**10 v_flag_tmp = flag_vign_tmp.ravel() if len(np.where(v_flag_tmp != 0)[0]) / (51 * 51) > 1 / 3.0: continue - weight_vign_tmp = ( - weight_vign_cat[str(id_tmp)][expccd_name_tmp]['VIGNET'] - ) + weight_vign_tmp = weight_vign_cat[str(id_tmp)][expccd_name_tmp][ + "VIGNET" + ] jacob_tmp = get_jacob( - f_wcs_file[exp_name][int(ccd_n)]['WCS'], + f_wcs_file[exp_name][int(ccd_n)]["WCS"], tile_ra[i_tile], - tile_dec[i_tile] + tile_dec[i_tile], ) header_tmp = fits.Header.fromstring( - f_wcs_file[exp_name][int(ccd_n)]['header'] + f_wcs_file[exp_name][int(ccd_n)]["header"] ) - Fscale = header_tmp['FSCALE'] + Fscale = header_tmp["FSCALE"] gal_vign_scaled = gal_vign_sub_bkg * Fscale - weight_vign_scaled = weight_vign_tmp * 1 / Fscale ** 2 + weight_vign_scaled = weight_vign_tmp * 1 / Fscale**2 gal_vign.append(gal_vign_scaled) psf_vign.append( - psf_vign_cat[str(id_tmp)][expccd_name_tmp]['VIGNET'] + psf_vign_cat[str(id_tmp)][expccd_name_tmp]["VIGNET"] ) sigma_psf.append( - psf_vign_cat[ - str(id_tmp) - ][expccd_name_tmp]['SHAPES']['SIGMA_PSF_HSM'] + psf_vign_cat[str(id_tmp)][expccd_name_tmp]["SHAPES"][ + "SIGMA_PSF_HSM" + ] ) weight_vign.append(weight_vign_scaled) flag_vign.append(flag_vign_tmp) @@ -455,21 +443,21 @@ def process(self): flag_vign, jacob_list, prior, - self._pixel_scale + self._pixel_scale, ) except Exception as ee: self._w_log.info( - f'ngmix failed for object ID={id_tmp}.\nMessage: {ee}' + f"ngmix failed for object ID={id_tmp}.\nMessage: {ee}" ) continue - res['obj_id'] = id_tmp - res['n_epoch_model'] = len(gal_vign) + res["obj_id"] = id_tmp + res["n_epoch_model"] = len(gal_vign) final_res.append(res) self._w_log.info( - f'ngmix loop over objects finished, processed {count} ' - + f'objects, id first/last={id_first}/{id_last}' + f"ngmix loop over objects finished, processed {count} " + + f"objects, id first/last={id_first}/{id_last}" ) f_wcs_file.close() @@ -489,11 +477,11 @@ def process(self): def get_guess( img, pixel_scale, - guess_flux_unit='img', - guess_size_type='T', - guess_size_unit='sky', + guess_flux_unit="img", + guess_size_type="T", + guess_size_unit="sky", guess_centroid=True, - guess_centroid_unit='sky' + guess_centroid_unit="sky", ): r"""Get Guess. @@ -543,61 +531,56 @@ def get_guess( error_msg = hsm_shape.error_message - if error_msg != '': + if error_msg != "": raise galsim.hsm.GalSimHSMError( - f'Error in adaptive moments :\n{error_msg}' + f"Error in adaptive moments :\n{error_msg}" ) - if guess_flux_unit == 'img': + if guess_flux_unit == "img": guess_flux = hsm_shape.moments_amp - elif guess_flux_unit == 'sky': - guess_flux = hsm_shape.moments_amp / pixel_scale ** 2 + elif guess_flux_unit == "sky": + guess_flux = hsm_shape.moments_amp / pixel_scale**2 else: raise ValueError( - f'invalid guess_flux_unit \'{guess_flux_unit}\',' - + ' must be one of \'img\', \'sky\'' + f"invalid guess_flux_unit '{guess_flux_unit}'," + + " must be one of 'img', 'sky'" ) - if guess_size_unit == 'img': - size_unit = 1. - elif guess_size_unit == 'sky': + if guess_size_unit == "img": + size_unit = 1.0 + elif guess_size_unit == "sky": size_unit = pixel_scale else: raise ValueError( - 'invalid guess_size_unit \'{guess_size_unit}\',' - + 'must be one of \'img\', \'sky\'' + "invalid guess_size_unit '{guess_size_unit}'," + + "must be one of 'img', 'sky'" ) - if guess_size_type == 'sigma': + if guess_size_type == "sigma": guess_size = hsm_shape.moments_sigma * size_unit - elif guess_size_type == 'T': + elif guess_size_type == "T": guess_size = 2 * (hsm_shape.moments_sigma * size_unit) ** 2 - if guess_centroid_unit == 'img': + if guess_centroid_unit == "img": centroid_unit = 1 - elif guess_centroid_unit == 'sky': + elif guess_centroid_unit == "sky": centroid_unit = pixel_scale else: raise ValueError( - f'invalid guess_centroid_unit \'{guess_centroid_unit}\',' - + ' must be one of \'img\', \'sky\'' + f"invalid guess_centroid_unit '{guess_centroid_unit}'," + + " must be one of 'img', 'sky'" ) if guess_centroid: guess_centroid = ( - (hsm_shape.moments_centroid - galsim_img.center) * centroid_unit - ) + hsm_shape.moments_centroid - galsim_img.center + ) * centroid_unit else: guess_centroid = galsim_img.center * centroid_unit - guess = np.array([ - guess_centroid.x, - guess_centroid.y, - 0., - 0., - guess_size, - guess_flux - ]) + guess = np.array( + [guess_centroid.x, guess_centroid.y, 0.0, 0.0, guess_size, guess_flux] + ) return guess @@ -637,8 +620,8 @@ def make_galsimfit(obs, model, guess0, prior=None, ntry=5): fres = {} for it in range(ntry): guess[0:5] += urand(low=-limit, high=limit) - guess[5:] *= (1 + urand(low=-limit, high=limit)) - fres['flags'] = 1 + guess[5:] *= 1 + urand(low=-limit, high=limit) + fres["flags"] = 1 try: fitter = ngmix.galsimfit.GalsimSimple( obs, @@ -650,15 +633,15 @@ def make_galsimfit(obs, model, guess0, prior=None, ntry=5): except Exception: continue - if fres['flags'] == 0: + if fres["flags"] == 0: break - if fres['flags'] != 0: + if fres["flags"] != 0: raise ngmix.gexceptions.BootGalFailure( - 'Failed to fit galaxy image with galsimfit' + "Failed to fit galaxy image with galsimfit" ) - fres['ntry'] = it + 1 + fres["ntry"] = it + 1 return fres @@ -730,9 +713,7 @@ def get_noise(gal, weight, guess, pixel_scale, thresh=1.2): gauss_win = galsim.Gaussian(sigma=np.sqrt(guess[4] / 2), flux=guess[5]) gauss_win = gauss_win.shear(g1=guess[2], g2=guess[3]) gauss_win = gauss_win.drawImage( - nx=img_shape[0], - ny=img_shape[1], - scale=pixel_scale + nx=img_shape[0], ny=img_shape[1], scale=pixel_scale ).array m_weight = weight[gauss_win < thresh * sig_tmp] != 0 @@ -743,14 +724,7 @@ def get_noise(gal, weight, guess, pixel_scale, thresh=1.2): def do_ngmix_metacal( - gals, - psfs, - psfs_sigma, - weights, - flags, - jacob_list, - prior, - pixel_scale + gals, psfs, psfs_sigma, weights, flags, jacob_list, prior, pixel_scale ): """Do Ngmix Metacal. @@ -791,10 +765,10 @@ def do_ngmix_metacal( gal_obs_list = ObsList() T_guess_psf = [] psf_res_gT = { - 'g_PSFo': np.array([0., 0.]), - 'g_err_PSFo': np.array([0., 0.]), - 'T_PSFo': 0., - 'T_err_PSFo': 0. + "g_PSFo": np.array([0.0, 0.0]), + "g_err_PSFo": np.array([0.0, 0.0]), + "T_PSFo": 0.0, + "T_err_PSFo": 0.0, } gal_guess = [] gal_guess_flag = True @@ -804,7 +778,7 @@ def do_ngmix_metacal( psf_jacob = ngmix.Jacobian( row=(psfs[0].shape[0] - 1) / 2, col=(psfs[0].shape[1] - 1) / 2, - wcs=jacob_list[n_e] + wcs=jacob_list[n_e], ) psf_obs = Observation(psfs[n_e], jacobian=psf_jacob) @@ -812,31 +786,29 @@ def do_ngmix_metacal( psf_T = psfs_sigma[n_e] * 1.17741 * pixel_scale weight_map = np.copy(weights[n_e]) - weight_map[np.where(flags[n_e] != 0)] = 0. + weight_map[np.where(flags[n_e] != 0)] = 0.0 weight_map[weight_map != 0] = 1 - psf_guess = np.array([0., 0., 0., 0., psf_T, 1.]) + psf_guess = np.array([0.0, 0.0, 0.0, 0.0, psf_T, 1.0]) try: - psf_res = make_galsimfit(psf_obs, 'gauss', psf_guess) + psf_res = make_galsimfit(psf_obs, "gauss", psf_guess) except Exception: continue # Gal guess try: gal_guess_tmp = get_guess( - gals[n_e], - pixel_scale, - guess_size_type='sigma' + gals[n_e], pixel_scale, guess_size_type="sigma" ) except Exception: gal_guess_flag = False - gal_guess_tmp = np.array([0., 0., 0., 0., 1, 100]) + gal_guess_tmp = np.array([0.0, 0.0, 0.0, 0.0, 1, 100]) # Recenter jacobian if necessary gal_jacob = ngmix.Jacobian( row=(gals[0].shape[0] - 1) / 2 + gal_guess_tmp[0], col=(gals[0].shape[1] - 1) / 2 + gal_guess_tmp[1], - wcs=jacob_list[n_e] + wcs=jacob_list[n_e], ) # Noise handling @@ -854,20 +826,19 @@ def do_ngmix_metacal( noise_img_gal = np.random.randn(*gals[n_e].shape) * sig_noise gal_masked = np.copy(gals[n_e]) - if (len(np.where(weight_map == 0)[0]) != 0): + if len(np.where(weight_map == 0)[0]) != 0: gal_masked[weight_map == 0] = noise_img_gal[weight_map == 0] - weight_map *= 1 / sig_noise ** 2 + weight_map *= 1 / sig_noise**2 # Original PSF fit w_tmp = np.sum(weight_map) - psf_res_gT['g_PSFo'] += psf_res['g'] * w_tmp - psf_res_gT['g_err_PSFo'] += np.array([ - psf_res['pars_err'][2], - psf_res['pars_err'][3] - ]) * w_tmp - psf_res_gT['T_PSFo'] += psf_res['T'] * w_tmp - psf_res_gT['T_err_PSFo'] += psf_res['T_err'] * w_tmp + psf_res_gT["g_PSFo"] += psf_res["g"] * w_tmp + psf_res_gT["g_err_PSFo"] += ( + np.array([psf_res["pars_err"][2], psf_res["pars_err"][3]]) * w_tmp + ) + psf_res_gT["T_PSFo"] += psf_res["T"] * w_tmp + psf_res_gT["T_err_PSFo"] += psf_res["T_err"] * w_tmp wsum += w_tmp gal_obs = Observation( @@ -875,7 +846,7 @@ def do_ngmix_metacal( weight=weight_map, jacobian=gal_jacob, psf=psf_obs, - noise=noise_img + noise=noise_img, ) if gal_guess_flag: @@ -887,7 +858,7 @@ def do_ngmix_metacal( gal_guess_flag = True if wsum == 0: - raise ZeroDivisionError('Sum of weights = 0, division by zero') + raise ZeroDivisionError("Sum of weights = 0, division by zero") # Normalize PSF fit output for key in psf_res_gT.keys(): @@ -897,22 +868,22 @@ def do_ngmix_metacal( fail_get_guess = False if len(gal_guess) == 0: fail_get_guess = True - gal_pars = [0., 0., 0., 0., 1, 100] + gal_pars = [0.0, 0.0, 0.0, 0.0, 1, 100] else: gal_pars = np.mean(gal_guess, 0) - psf_model = 'gauss' - gal_model = 'gauss' + psf_model = "gauss" + gal_model = "gauss" # metacal specific parameters metacal_pars = { - 'types': ['noshear', '1p', '1m', '2p', '2m'], - 'step': 0.01, - 'psf': 'gauss', - 'fixnoise': True, - 'cheatnoise': False, - 'symmetrize_psf': False, - 'use_noise_image': True + "types": ["noshear", "1p", "1m", "2p", "2m"], + "step": 0.01, + "psf": "gauss", + "fixnoise": True, + "cheatnoise": False, + "symmetrize_psf": False, + "use_noise_image": True, } Tguess = np.mean(T_guess_psf) @@ -921,25 +892,22 @@ def do_ngmix_metacal( ntry = 2 obs_dict_mcal = ngmix.metacal.get_all_metacal(gal_obs_list, **metacal_pars) - res = {'mcal_flags': 0} + res = {"mcal_flags": 0} ntry = 5 for key in sorted(obs_dict_mcal): fres = make_galsimfit( - obs_dict_mcal[key], - gal_model, - gal_pars, - prior=prior + obs_dict_mcal[key], gal_model, gal_pars, prior=prior ) - res['mcal_flags'] |= fres['flags'] + res["mcal_flags"] |= fres["flags"] tres = {} for name in fres.keys(): tres[name] = fres[name] - tres['flags'] = fres['flags'] + tres["flags"] = fres["flags"] wsum = 0 Tpsf_sum = 0 @@ -947,29 +915,29 @@ def do_ngmix_metacal( npsf = 0 for obs in obs_dict_mcal[key]: - if hasattr(obs, 'psf_nopix'): + if hasattr(obs, "psf_nopix"): try: psf_res = make_galsimfit( obs.psf_nopix, psf_model, - np.array([0., 0., 0., 0., Tguess, 1.]), - ntry=ntry + np.array([0.0, 0.0, 0.0, 0.0, Tguess, 1.0]), + ntry=ntry, ) except Exception: continue - g1, g2 = psf_res['g'] - T = psf_res['T'] + g1, g2 = psf_res["g"] + T = psf_res["T"] else: try: psf_res = make_galsimfit( obs.psf, psf_model, - np.array([0., 0., 0., 0., Tguess, 1.]), + np.array([0.0, 0.0, 0.0, 0.0, Tguess, 1.0]), ) except Exception: continue - g1, g2 = psf_res['g'] - T = psf_res['T'] + g1, g2 = psf_res["g"] + T = psf_res["T"] # TODO we sometimes use other weights twsum = obs.weight.sum() @@ -980,8 +948,8 @@ def do_ngmix_metacal( Tpsf_sum += T * twsum npsf += 1 - tres['gpsf'] = gpsf_sum / wsum - tres['Tpsf'] = Tpsf_sum / wsum + tres["gpsf"] = gpsf_sum / wsum + tres["Tpsf"] = Tpsf_sum / wsum res[key] = tres @@ -989,6 +957,6 @@ def do_ngmix_metacal( metacal_res = res metacal_res.update(psf_res_gT) - metacal_res['moments_fail'] = fail_get_guess + metacal_res["moments_fail"] = fail_get_guess return metacal_res diff --git a/shapepipe/modules/ngmix_runner.py b/shapepipe/modules/ngmix_runner.py index 432008793..80d8e2ea7 100644 --- a/shapepipe/modules/ngmix_runner.py +++ b/shapepipe/modules/ngmix_runner.py @@ -11,22 +11,22 @@ @module_runner( - version='0.0.1', + version="0.0.1", input_module=[ - 'sextractor_runner', - 'psfex_interp_runner', - 'vignetmaker_runner' + "sextractor_runner", + "psfex_interp_runner", + "vignetmaker_runner", ], file_pattern=[ - 'tile_sexcat', - 'image', - 'exp_background', - 'galaxy_psf', - 'weight', - 'flag' + "tile_sexcat", + "image", + "exp_background", + "galaxy_psf", + "weight", + "flag", ], - file_ext=['.fits', '.sqlite', '.sqlite', '.sqlite', '.sqlite', '.sqlite'], - depends=['numpy', 'ngmix', 'galsim', 'sqlitedict', 'astropy'], + file_ext=[".fits", ".sqlite", ".sqlite", ".sqlite", ".sqlite", ".sqlite"], + depends=["numpy", "ngmix", "galsim", "sqlitedict", "astropy"], ) def ngmix_runner( input_file_list, @@ -40,22 +40,22 @@ def ngmix_runner( # Read config file entries # Photometric zero point - zero_point = config.getfloat(module_config_sec, 'MAG_ZP') + zero_point = config.getfloat(module_config_sec, "MAG_ZP") # Pixel scale - pixel_scale = config.getfloat(module_config_sec, 'PIXEL_SCALE') + pixel_scale = config.getfloat(module_config_sec, "PIXEL_SCALE") # Path to merged single-exposure single-HDU headers - f_wcs_path = config.getexpanded(module_config_sec, 'LOG_WCS') + f_wcs_path = config.getexpanded(module_config_sec, "LOG_WCS") # First and last galaxy ID to process - id_obj_min = config.getint(module_config_sec, 'ID_OBJ_MIN') - id_obj_max = config.getint(module_config_sec, 'ID_OBJ_MAX') + id_obj_min = config.getint(module_config_sec, "ID_OBJ_MIN") + id_obj_max = config.getint(module_config_sec, "ID_OBJ_MAX") # Initialise class instance ngmix_inst = Ngmix( input_file_list, - run_dirs['output'], + run_dirs["output"], file_number_string, zero_point, pixel_scale, diff --git a/shapepipe/modules/pastecat_package/__init__.py b/shapepipe/modules/pastecat_package/__init__.py index 62838d8e4..b5bcfdcc0 100644 --- a/shapepipe/modules/pastecat_package/__init__.py +++ b/shapepipe/modules/pastecat_package/__init__.py @@ -32,4 +32,4 @@ """ -__all__ = ['pastecat'] +__all__ = ["pastecat"] diff --git a/shapepipe/modules/pastecat_package/pastecat.py b/shapepipe/modules/pastecat_package/pastecat.py index c1a4b07c6..35941018a 100644 --- a/shapepipe/modules/pastecat_package/pastecat.py +++ b/shapepipe/modules/pastecat_package/pastecat.py @@ -49,7 +49,7 @@ def __init__( w_log, ext_name=None, check_col_name=None, - hdu_no=None + hdu_no=None, ): self._input_file_list = input_file_list @@ -71,12 +71,12 @@ def process(self): # Create output catalogue pasted_cat = file_io.FITSCatalogue( self._output_path, - open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite + open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite, ) for idx, input_file in enumerate(self._input_file_list): - self._w_log.info(f'Pasting catalogue \'{input_file}\'') + self._w_log.info(f"Pasting catalogue '{input_file}'") # Read input data cat = file_io.FITSCatalogue(input_file) @@ -90,18 +90,18 @@ def process(self): if idx > 0: if self._check_col_name not in col_names: raise KeyError( - f'CHECK_COL_NAME key \'{self._check_col_name}\'' - + 'not found in input catalogue' + f"CHECK_COL_NAME key '{self._check_col_name}'" + + "not found in input catalogue" ) if not ( data[self._check_col_name] == data_prev[self._check_col_name] ).all(): raise Exception( - f'Column check using key' - + '\'{self._check_col_name}\'' - + 'failed for input catalogues ' - + f'#{idx - 1} and #{idx}' + f"Column check using key" + + "'{self._check_col_name}'" + + "failed for input catalogues " + + f"#{idx - 1} and #{idx}" ) data_prev = data diff --git a/shapepipe/modules/pastecat_runner.py b/shapepipe/modules/pastecat_runner.py index 247a44f46..4f659bffa 100644 --- a/shapepipe/modules/pastecat_runner.py +++ b/shapepipe/modules/pastecat_runner.py @@ -11,12 +11,12 @@ @module_runner( - version='1.1', - input_module='sextractor_runner', - file_pattern='tile_sexcat', - file_ext='.fits', - depends=['numpy', 'astropy'], - run_method='parallel', + version="1.1", + input_module="sextractor_runner", + file_pattern="tile_sexcat", + file_ext=".fits", + depends=["numpy", "astropy"], + run_method="parallel", ) def paste_cat_runner( input_file_list, @@ -28,48 +28,44 @@ def paste_cat_runner( ): """Define The Paste Catalogue Runner.""" # Get config options - if config.has_option(module_config_sec, 'CHECK_COL_NAME'): - check_col_name = config.get(module_config_sec, 'CHECK_COL_NAME') + if config.has_option(module_config_sec, "CHECK_COL_NAME"): + check_col_name = config.get(module_config_sec, "CHECK_COL_NAME") else: check_col_name = None - if config.has_option(module_config_sec, 'HDU'): - tmp = config.getlist(module_config_sec, 'HDU') + if config.has_option(module_config_sec, "HDU"): + tmp = config.getlist(module_config_sec, "HDU") hdu_no = [int(idx) for idx in tmp] if len(hdu_no) != len(input_file_list): raise IndexError( - 'Different lengths for input file list ' - + f'({len(input_file_list)}) and HDU ({len(hdu_no)}).' + "Different lengths for input file list " + + f"({len(input_file_list)}) and HDU ({len(hdu_no)})." ) else: hdu_no = None - if config.has_option(module_config_sec, 'PREFIX'): - prefix = config.get( - module_config_sec, - 'PREFIX' - ) + if config.has_option(module_config_sec, "PREFIX"): + prefix = config.get(module_config_sec, "PREFIX") else: - prefix = 'cat_pasted' + prefix = "cat_pasted" - if config.has_option(module_config_sec, 'EXT_NAME'): - ext_name_list = config.getlist(module_config_sec, 'EXT_NAME') + if config.has_option(module_config_sec, "EXT_NAME"): + ext_name_list = config.getlist(module_config_sec, "EXT_NAME") if len(ext_name_list) != len(input_file_list): raise ValueError( - f'Input file list length ({len(input_file_list)}) ' - + f'and EXT_NAME list ({len(ext_name_list)})' - + 'need to be equal.' + f"Input file list length ({len(input_file_list)}) " + + f"and EXT_NAME list ({len(ext_name_list)})" + + "need to be equal." ) else: ext_name_list = None # Set file extension - file_ext = 'fits' + file_ext = "fits" # Set output path output_path = ( - f'{run_dirs["output"]}/{prefix}' - + f'{file_number_string}.{file_ext}' + f'{run_dirs["output"]}/{prefix}' + f"{file_number_string}.{file_ext}" ) # Create rand cat class instance @@ -79,7 +75,7 @@ def paste_cat_runner( w_log, ext_name=ext_name_list, check_col_name=check_col_name, - hdu_no=hdu_no + hdu_no=hdu_no, ) # Run processing diff --git a/shapepipe/modules/psfex_interp_package/__init__.py b/shapepipe/modules/psfex_interp_package/__init__.py index afda4d2e2..1c3b51ca4 100644 --- a/shapepipe/modules/psfex_interp_package/__init__.py +++ b/shapepipe/modules/psfex_interp_package/__init__.py @@ -43,4 +43,4 @@ """ -__all__ = ['psfex_interp'] +__all__ = ["psfex_interp"] diff --git a/shapepipe/modules/psfex_interp_package/psfex_interp.py b/shapepipe/modules/psfex_interp_package/psfex_interp.py index 1a3a0e50d..dc18a0339 100644 --- a/shapepipe/modules/psfex_interp_package/psfex_interp.py +++ b/shapepipe/modules/psfex_interp_package/psfex_interp.py @@ -24,10 +24,9 @@ import_fail = False -NOT_ENOUGH_STARS = 'Fail_stars' -BAD_CHI2 = 'Fail_chi2' -FILE_NOT_FOUND = 'File_not_found' - +NOT_ENOUGH_STARS = "Fail_stars" +BAD_CHI2 = "Fail_chi2" +FILE_NOT_FOUND = "File_not_found" class PSFExInterpolator(object): @@ -76,22 +75,21 @@ def __init__( # Path to PSFEx output file self._dotpsf_path = dotpsf_path - if ( - not isinstance(dotpsf_path, type(None)) - and not os.path.isfile(dotpsf_path) + if not isinstance(dotpsf_path, type(None)) and not os.path.isfile( + dotpsf_path ): - raise ValueError(f'Cound not find file {dotpsf_path}.') + raise ValueError(f"Cound not find file {dotpsf_path}.") # Path to catalogue containing galaxy positions if os.path.isfile(galcat_path): self._galcat_path = galcat_path else: - raise ValueError(f'Cound not find file {galcat_path}.') + raise ValueError(f"Cound not find file {galcat_path}.") # Path to output file to be written - self._output_path = output_path + '/galaxy_psf' + self._output_path = output_path + "/galaxy_psf" # Path to output file to be written for validation - self._output_path_validation = output_path + '/validation_psf' + self._output_path_validation = output_path + "/validation_psf" # if required, compute and save shapes self._compute_shape = get_shapes # Number of stars under which we don't interpolate the PSF @@ -107,8 +105,8 @@ def __init__( if pos_params: if not len(pos_params) == 2: raise ValueError( - f'{len(pos_params)} position parameters were passed on; ' - + 'there should be exactly two.' + f"{len(pos_params)} position parameters were passed on; " + + "there should be exactly two." ) self._pos_params = pos_params else: @@ -135,21 +133,18 @@ def process(self): and self.interp_PSFs == NOT_ENOUGH_STARS ): self._w_log.info( - 'Not enough stars to interpolate the psf in the file ' - + f'{self._dotpsf_path}.' + "Not enough stars to interpolate the psf in the file " + + f"{self._dotpsf_path}." ) - elif ( - isinstance(self.interp_PSFs, str) - and self.interp_PSFs == BAD_CHI2 - ): + elif isinstance(self.interp_PSFs, str) and self.interp_PSFs == BAD_CHI2: self._w_log.info( - f'Bad chi2 for the psf model in the file {self._dotpsf_path}.' + f"Bad chi2 for the psf model in the file {self._dotpsf_path}." ) elif ( isinstance(self.interp_PSFs, str) and self.interp_PSFs == FILE_NOT_FOUND ): - self._w_log.info(f'Psf model file {self._dotpsf_path} not found.') + self._w_log.info(f"Psf model file {self._dotpsf_path} not found.") else: if self._compute_shape: self._get_psfshapes() @@ -165,8 +160,8 @@ def _get_position_parameters(self): dotpsf = file_io.FITSCatalogue(self._dotpsf_path) dotpsf.open() self._pos_params = [ - dotpsf.get_header()['POLNAME1'], - dotpsf.get_header()['POLNAME2'] + dotpsf.get_header()["POLNAME1"], + dotpsf.get_header()["POLNAME2"], ] dotpsf.close() @@ -183,29 +178,31 @@ def _get_galaxy_positions(self): galcat.open() try: - self.gal_pos = np.array([ - [x, y] for x, y in zip( - galcat.get_data()[self._pos_params[0]], - galcat.get_data()[self._pos_params[1]] - ) - ]) + self.gal_pos = np.array( + [ + [x, y] + for x, y in zip( + galcat.get_data()[self._pos_params[0]], + galcat.get_data()[self._pos_params[1]], + ) + ] + ) self._w_log.info( - f'Read {self.gal_pos.shape[0]} positions from galaxy catalog' + f"Read {self.gal_pos.shape[0]} positions from galaxy catalog" ) except KeyError as detail: # extract erroneous position parameter from original exception err_pos_param = detail.args[0][4:-15] pos_param_err = ( - f'Required position parameter {err_pos_param}' - + 'was not found in galaxy catalog. Leave ' - + 'pos_params (or EXTRA_CODE_OPTION) blank to ' - + 'read them from .psf file.' + f"Required position parameter {err_pos_param}" + + "was not found in galaxy catalog. Leave " + + "pos_params (or EXTRA_CODE_OPTION) blank to " + + "read them from .psf file." ) raise KeyError(pos_param_err) galcat.close() - def interpsfex(self, dotpsfpath, pos): """Interpolate PSFEx. @@ -223,7 +220,7 @@ def interpsfex(self, dotpsfpath, pos): numpy.ndarray Array of PSFs, each row is the PSF image at the corresponding position requested - + """ if not os.path.exists(dotpsfpath): return FILE_NOT_FOUND @@ -241,49 +238,62 @@ def interpsfex(self, dotpsfpath, pos): thresh_star = self._star_thresh thresh_chi2 = self._chi2_thresh - if PSF_model.header['ACCEPTED'] < thresh_star: + if PSF_model.header["ACCEPTED"] < thresh_star: return NOT_ENOUGH_STARS - if PSF_model.header['CHI2'] > thresh_chi2: + if PSF_model.header["CHI2"] > thresh_chi2: return BAD_CHI2 PSF_basis = np.array(PSF_model.data)[0][0] try: - deg = PSF_model.header['POLDEG1'] + deg = PSF_model.header["POLDEG1"] except KeyError: # constant PSF model return PSF_basis[0, :, :] # scale coordinates x_interp, x_scale = ( - PSF_model.header['POLZERO1'], - PSF_model.header['POLSCAL1'] + PSF_model.header["POLZERO1"], + PSF_model.header["POLSCAL1"], ) y_interp, y_scale = ( - PSF_model.header['POLZERO2'], - PSF_model.header['POLSCAL2'] - + PSF_model.header["POLZERO2"], + PSF_model.header["POLSCAL2"], ) - xs, ys = (pos[:, 0] - x_interp) / x_scale, (pos[:, 1] - y_interp) / y_scale + xs, ys = (pos[:, 0] - x_interp) / x_scale, ( + pos[:, 1] - y_interp + ) / y_scale # compute polynomial coefficients - coeffs = np.array([[x ** idx for idx in range(deg + 1)] for x in xs]) - cross_coeffs = np.array([ - np.concatenate([ - [(x ** idx_j) * (y ** idx_i) for idx_j in range(deg - idx_i + 1)] - for idx_i in range(1, deg + 1) - ]) - for x, y in zip(xs, ys) - ]) + coeffs = np.array([[x**idx for idx in range(deg + 1)] for x in xs]) + cross_coeffs = np.array( + [ + np.concatenate( + [ + [ + (x**idx_j) * (y**idx_i) + for idx_j in range(deg - idx_i + 1) + ] + for idx_i in range(1, deg + 1) + ] + ) + for x, y in zip(xs, ys) + ] + ) coeffs = np.hstack((coeffs, cross_coeffs)) # compute interpolated PSF - PSFs = np.array([ - np.sum( - [coeff * atom for coeff, atom in zip(coeffs_posi, PSF_basis)], - axis=0, - ) - for coeffs_posi in coeffs - ]) + PSFs = np.array( + [ + np.sum( + [ + coeff * atom + for coeff, atom in zip(coeffs_posi, PSF_basis) + ], + axis=0, + ) + for coeffs_posi in coeffs + ] + ) return PSFs @@ -306,22 +316,24 @@ def _get_psfshapes(self): """ if import_fail: - raise ImportError('Galsim is required to get shapes information') + raise ImportError("Galsim is required to get shapes information") psf_moms = [ hsm.FindAdaptiveMom(Image(psf), strict=False) for psf in self.interp_PSFs ] - self.psf_shapes = np.array([ + self.psf_shapes = np.array( [ - moms.observed_shape.g1, - moms.observed_shape.g2, - moms.moments_sigma, - int(bool(moms.error_message)) + [ + moms.observed_shape.g1, + moms.observed_shape.g2, + moms.moments_sigma, + int(bool(moms.error_message)), + ] + for moms in psf_moms ] - for moms in psf_moms - ]) + ) def _write_output(self): """Write Output. @@ -330,21 +342,21 @@ def _write_output(self): """ output = file_io.FITSCatalogue( - self._output_path + self._img_number + '.fits', + self._output_path + self._img_number + ".fits", open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite, SEx_catalogue=True, ) if self._compute_shape: data = { - 'VIGNET': self.interp_PSFs, - 'E1_PSF_HSM': self.psf_shapes[:, 0], - 'E2_PSF_HSM': self.psf_shapes[:, 1], - 'SIGMA_PSF_HSM': self.psf_shapes[:, 2], - 'FLAG_PSF_HSM': self.psf_shapes[:, 3].astype(int) + "VIGNET": self.interp_PSFs, + "E1_PSF_HSM": self.psf_shapes[:, 0], + "E2_PSF_HSM": self.psf_shapes[:, 1], + "SIGMA_PSF_HSM": self.psf_shapes[:, 2], + "FLAG_PSF_HSM": self.psf_shapes[:, 3].astype(int), } else: - data = {'VIGNET': self.interp_PSFs} + data = {"VIGNET": self.interp_PSFs} output.save_as_fits(data, sex_cat_path=self._galcat_path) def process_validation(self, psfex_cat_path): @@ -359,7 +371,7 @@ def process_validation(self, psfex_cat_path): """ if not os.path.isfile(psfex_cat_path): - raise ValueError(f'Cound not find file {psfex_cat_path}.') + raise ValueError(f"Cound not find file {psfex_cat_path}.") if self.gal_pos is None: self._get_galaxy_positions() @@ -372,21 +384,18 @@ def process_validation(self, psfex_cat_path): and self.interp_PSFs == NOT_ENOUGH_STARS ): self._w_log.info( - 'Not enough stars to interpolate the psf in the file ' - + f'{self._dotpsf_path}.' + "Not enough stars to interpolate the psf in the file " + + f"{self._dotpsf_path}." ) - elif ( - isinstance(self.interp_PSFs, str) - and self.interp_PSFs == BAD_CHI2 - ): + elif isinstance(self.interp_PSFs, str) and self.interp_PSFs == BAD_CHI2: self._w_log.info( - f'Bad chi2 for the psf model in the file {self._dotpsf_path}.' + f"Bad chi2 for the psf model in the file {self._dotpsf_path}." ) elif ( isinstance(self.interp_PSFs, str) and self.interp_PSFs == FILE_NOT_FOUND ): - self._w_log.info(f'Psf model file {self._dotpsf_path} not found.') + self._w_log.info(f"Psf model file {self._dotpsf_path} not found.") else: star_cat = file_io.FITSCatalogue( self._galcat_path, @@ -394,14 +403,14 @@ def process_validation(self, psfex_cat_path): ) star_cat.open() star_dict = {} - star_vign = np.copy(star_cat.get_data()['VIGNET']) - star_dict['NUMBER'] = np.copy(star_cat.get_data()['NUMBER']) - star_dict['X'] = np.copy(star_cat.get_data()['XWIN_IMAGE']) - star_dict['Y'] = np.copy(star_cat.get_data()['YWIN_IMAGE']) - star_dict['RA'] = np.copy(star_cat.get_data()['XWIN_WORLD']) - star_dict['DEC'] = np.copy(star_cat.get_data()['YWIN_WORLD']) - star_dict['MAG'] = np.copy(star_cat.get_data()['MAG_AUTO']) - star_dict['SNR'] = np.copy(star_cat.get_data()['SNR_WIN']) + star_vign = np.copy(star_cat.get_data()["VIGNET"]) + star_dict["NUMBER"] = np.copy(star_cat.get_data()["NUMBER"]) + star_dict["X"] = np.copy(star_cat.get_data()["XWIN_IMAGE"]) + star_dict["Y"] = np.copy(star_cat.get_data()["YWIN_IMAGE"]) + star_dict["RA"] = np.copy(star_cat.get_data()["XWIN_WORLD"]) + star_dict["DEC"] = np.copy(star_cat.get_data()["YWIN_WORLD"]) + star_dict["MAG"] = np.copy(star_cat.get_data()["MAG_AUTO"]) + star_dict["SNR"] = np.copy(star_cat.get_data()["SNR_WIN"]) star_cat.close() self._get_psfshapes() @@ -422,7 +431,7 @@ def _get_starshapes(self, star_vign): """ if import_fail: - raise ImportError('Galsim is required to get shapes information') + raise ImportError("Galsim is required to get shapes information") masks = np.zeros_like(star_vign) masks[np.where(star_vign == -1e30)] = 1 @@ -432,15 +441,17 @@ def _get_starshapes(self, star_vign): for star, mask in zip(star_vign, masks) ] - self.star_shapes = np.array([ + self.star_shapes = np.array( [ - moms.observed_shape.g1, - moms.observed_shape.g2, - moms.moments_sigma, - int(bool(moms.error_message)) + [ + moms.observed_shape.g1, + moms.observed_shape.g2, + moms.moments_sigma, + int(bool(moms.error_message)), + ] + for moms in star_moms ] - for moms in star_moms - ]) + ) def _get_psfexcatdict(self, psfex_cat_path): """Get PSFEx Catalogue Dictionary. @@ -462,18 +473,16 @@ def _get_psfexcatdict(self, psfex_cat_path): psfex_cat.open() psfex_cat_dict = {} - psfex_cat_dict['SOURCE_NUMBER'] = np.copy( - psfex_cat.get_data()['SOURCE_NUMBER'] - ) - psfex_cat_dict['DELTAX_IMAGE'] = np.copy( - psfex_cat.get_data()['DELTAX_IMAGE'] + psfex_cat_dict["SOURCE_NUMBER"] = np.copy( + psfex_cat.get_data()["SOURCE_NUMBER"] ) - psfex_cat_dict['DELTAY_IMAGE'] = np.copy( - psfex_cat.get_data()['DELTAY_IMAGE'] + psfex_cat_dict["DELTAX_IMAGE"] = np.copy( + psfex_cat.get_data()["DELTAX_IMAGE"] ) - psfex_cat_dict['CHI2_PSF'] = np.copy( - psfex_cat.get_data()['CHI2_PSF'] + psfex_cat_dict["DELTAY_IMAGE"] = np.copy( + psfex_cat.get_data()["DELTAY_IMAGE"] ) + psfex_cat_dict["CHI2_PSF"] = np.copy(psfex_cat.get_data()["CHI2_PSF"]) return psfex_cat_dict @@ -491,29 +500,29 @@ def _write_output_validation(self, star_dict, psfex_cat_dict): """ output = file_io.FITSCatalogue( - self._output_path_validation + self._img_number + '.fits', + self._output_path_validation + self._img_number + ".fits", open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite, SEx_catalogue=True, ) data = { - 'E1_PSF_HSM': self.psf_shapes[:, 0], - 'E2_PSF_HSM': self.psf_shapes[:, 1], - 'SIGMA_PSF_HSM': self.psf_shapes[:, 2], - 'FLAG_PSF_HSM': self.psf_shapes[:, 3].astype(int), - 'E1_STAR_HSM': self.star_shapes[:, 0], - 'E2_STAR_HSM': self.star_shapes[:, 1], - 'SIGMA_STAR_HSM': self.star_shapes[:, 2], - 'FLAG_STAR_HSM': self.star_shapes[:, 3].astype(int) + "E1_PSF_HSM": self.psf_shapes[:, 0], + "E2_PSF_HSM": self.psf_shapes[:, 1], + "SIGMA_PSF_HSM": self.psf_shapes[:, 2], + "FLAG_PSF_HSM": self.psf_shapes[:, 3].astype(int), + "E1_STAR_HSM": self.star_shapes[:, 0], + "E2_STAR_HSM": self.star_shapes[:, 1], + "SIGMA_STAR_HSM": self.star_shapes[:, 2], + "FLAG_STAR_HSM": self.star_shapes[:, 3].astype(int), } data = {**data, **star_dict} - data['ACCEPTED'] = np.ones_like(data['NUMBER'], dtype='int16') - star_used = psfex_cat_dict.pop('SOURCE_NUMBER') + data["ACCEPTED"] = np.ones_like(data["NUMBER"], dtype="int16") + star_used = psfex_cat_dict.pop("SOURCE_NUMBER") - for idx in range(len(data['NUMBER'])): + for idx in range(len(data["NUMBER"])): if idx + 1 not in star_used: - data['ACCEPTED'][idx] = 0 + data["ACCEPTED"][idx] = 0 output.save_as_fits(data, sex_cat_path=self._galcat_path) @@ -532,11 +541,8 @@ def process_me(self, dot_psf_dirs, dot_psf_pattern, f_wcs_path): Path to the log file containing the WCS for each CCDs """ - if not any( - os.path.exists(dot_psf_dir) - for dot_psf_dir in dot_psf_dirs - ): - raise ValueError('Cound not find any dot psf directory.') + if not any(os.path.exists(dot_psf_dir) for dot_psf_dir in dot_psf_dirs): + raise ValueError("Cound not find any dot psf directory.") self._dot_psf_dirs = dot_psf_dirs @@ -545,7 +551,7 @@ def process_me(self, dot_psf_dirs, dot_psf_pattern, f_wcs_path): if os.path.isfile(f_wcs_path): self._f_wcs_file = SqliteDict(f_wcs_path) else: - raise ValueError(f'Cound not find file {f_wcs_path}.') + raise ValueError(f"Cound not find file {f_wcs_path}.") if self.gal_pos is None: self._get_galaxy_positions() @@ -574,27 +580,28 @@ def _interpolate_me(self): cat = file_io.FITSCatalogue(self._galcat_path, SEx_catalogue=True) cat.open() - all_id = np.copy(cat.get_data()['NUMBER']) - key_ne = 'N_EPOCH' + all_id = np.copy(cat.get_data()["NUMBER"]) + key_ne = "N_EPOCH" if key_ne not in cat.get_data().dtype.names: raise KeyError( - f'Key {key_ne} not found in input galaxy catalogue' - + f' {self._galcat_path}, needed for' - + ' PSF interpolation to multi-epoch data; run previous module' - + ' (SExtractor) in multi-epoch mode' + f"Key {key_ne} not found in input galaxy catalogue" + + f" {self._galcat_path}, needed for" + + " PSF interpolation to multi-epoch data; run previous module" + + " (SExtractor) in multi-epoch mode" ) n_epoch = np.copy(cat.get_data()[key_ne]) list_ext_name = cat.get_ext_name() hdu_ind = [ - idx for idx in range(len(list_ext_name)) - if 'EPOCH' in list_ext_name[idx] + idx + for idx in range(len(list_ext_name)) + if "EPOCH" in list_ext_name[idx] ] final_list = [] for hdu_index in hdu_ind: - exp_name = cat.get_data(hdu_index)['EXP_NAME'][0] - ccd_list = list(set(cat.get_data(hdu_index)['CCD_N'])) + exp_name = cat.get_data(hdu_index)["EXP_NAME"][0] + ccd_list = list(set(cat.get_data(hdu_index)["CCD_N"])) array_psf = None array_id = None array_shape = None @@ -605,8 +612,8 @@ def _interpolate_me(self): found = False for dot_psf_dir in self._dot_psf_dirs: dot_psf_path = ( - f'{dot_psf_dir}/{self._dot_psf_pattern}-{exp_name}' - + f'-{ccd}.psf' + f"{dot_psf_dir}/{self._dot_psf_pattern}-{exp_name}" + + f"-{ccd}.psf" ) if os.path.exists(dot_psf_path): found = True @@ -618,10 +625,10 @@ def _interpolate_me(self): ) continue - ind_obj = np.where(cat.get_data(hdu_index)['CCD_N'] == ccd)[0] + ind_obj = np.where(cat.get_data(hdu_index)["CCD_N"] == ccd)[0] obj_id = all_id[ind_obj] gal_pos = np.array( - self._f_wcs_file[exp_name][ccd]['WCS'].all_world2pix( + self._f_wcs_file[exp_name][ccd]["WCS"].all_world2pix( self.gal_pos[:, 0][ind_obj], self.gal_pos[:, 1][ind_obj], 0, @@ -638,9 +645,9 @@ def _interpolate_me(self): and self.interp_PSFs == NOT_ENOUGH_STARS ): self._w_log.info( - f'Not enough stars found on ccd {ccd} of ' - + f'exposure {exp_name}. Object inside this ccd will ' - + 'lose an epoch.' + f"Not enough stars found on ccd {ccd} of " + + f"exposure {exp_name}. Object inside this ccd will " + + "lose an epoch." ) continue if ( @@ -648,9 +655,9 @@ def _interpolate_me(self): and self.interp_PSFs == BAD_CHI2 ): self._w_log.info( - f'Bad chi2 for the psf model in the ccd {ccd} of the ' - + f'exposure {exp_name}. Object inside this ccd will ' - + 'lose an epoch.' + f"Bad chi2 for the psf model in the ccd {ccd} of the " + + f"exposure {exp_name}. Object inside this ccd will " + + "lose an epoch." ) continue if ( @@ -658,8 +665,8 @@ def _interpolate_me(self): and self.interp_PSFs == FILE_NOT_FOUND ): self._w_log.info( - f'Psf model file {dot_psf_path} not found. ' - + 'Object inside this ccd will lose an epoch.' + f"Psf model file {dot_psf_path} not found. " + + "Object inside this ccd will lose an epoch." ) continue @@ -680,16 +687,18 @@ def _interpolate_me(self): if array_shape is None: array_shape = np.copy(self.psf_shapes) else: - array_shape = np.concatenate(( - array_shape, - np.copy(self.psf_shapes), - )) + array_shape = np.concatenate( + ( + array_shape, + np.copy(self.psf_shapes), + ) + ) else: array_shape = None - exp_name_tmp = np.array([ - exp_name + '-' + str(ccd) for _ in range(len(obj_id)) - ]) + exp_name_tmp = np.array( + [exp_name + "-" + str(ccd) for _ in range(len(obj_id))] + ) if array_exp_name is None: array_exp_name = exp_name_tmp else: @@ -697,12 +706,9 @@ def _interpolate_me(self): (array_exp_name, exp_name_tmp) ) - final_list.append([ - array_id, - array_psf, - array_shape, - array_exp_name - ]) + final_list.append( + [array_id, array_psf, array_shape, array_exp_name] + ) self._f_wcs_file.close() cat.close() @@ -714,34 +720,34 @@ def _interpolate_me(self): counter = 0 for j in range(len(final_list)): where_res = np.where(final_list[j][0] == id_tmp)[0] - if (len(where_res) != 0): + if len(where_res) != 0: output_dict[id_tmp][final_list[j][3][where_res[0]]] = {} - output_dict[id_tmp][ - final_list[j][3][where_res[0]] - ]['VIGNET'] = final_list[j][1][where_res[0]] + output_dict[id_tmp][final_list[j][3][where_res[0]]][ + "VIGNET" + ] = final_list[j][1][where_res[0]] if self._compute_shape: shape_dict = {} - shape_dict['E1_PSF_HSM'] = ( - final_list[j][2][where_res[0]][0] - ) - shape_dict['E2_PSF_HSM'] = ( - final_list[j][2][where_res[0]][1] - ) - shape_dict['SIGMA_PSF_HSM'] = ( - final_list[j][2][where_res[0]][2] - ) - shape_dict['FLAG_PSF_HSM'] = ( - final_list[j][2][where_res[0]][3] - ) - output_dict[id_tmp][ - final_list[j][3][where_res[0]] - ]['SHAPES'] = shape_dict + shape_dict["E1_PSF_HSM"] = final_list[j][2][ + where_res[0] + ][0] + shape_dict["E2_PSF_HSM"] = final_list[j][2][ + where_res[0] + ][1] + shape_dict["SIGMA_PSF_HSM"] = final_list[j][2][ + where_res[0] + ][2] + shape_dict["FLAG_PSF_HSM"] = final_list[j][2][ + where_res[0] + ][3] + output_dict[id_tmp][final_list[j][3][where_res[0]]][ + "SHAPES" + ] = shape_dict counter += 1 if counter == 0: - output_dict[id_tmp] = 'empty' + output_dict[id_tmp] = "empty" n_empty += 1 - self._w_log.info(f'{n_empty}/{len(all_id)} PSFs are empty') + self._w_log.info(f"{n_empty}/{len(all_id)} PSFs are empty") return output_dict @@ -757,7 +763,7 @@ def _write_output_me(self, output_dict): """ output_file = SqliteDict( - self._output_path + self._img_number + '.sqlite' + self._output_path + self._img_number + ".sqlite" ) for idx in output_dict.keys(): output_file[str(idx)] = output_dict[idx] diff --git a/shapepipe/modules/psfex_interp_runner.py b/shapepipe/modules/psfex_interp_runner.py index e9c0cca54..55d8d73c1 100644 --- a/shapepipe/modules/psfex_interp_runner.py +++ b/shapepipe/modules/psfex_interp_runner.py @@ -13,11 +13,11 @@ @module_runner( - version='1.1', - input_module=['psfex_runner', 'setools_runner'], - file_pattern=['star_selection', 'galaxy_selection'], - file_ext=['.psf', '.fits'], - depends=['numpy', 'astropy', 'galsim', 'sqlitedict'], + version="1.1", + input_module=["psfex_runner", "setools_runner"], + file_pattern=["star_selection", "galaxy_selection"], + file_ext=[".psf", ".fits"], + depends=["numpy", "astropy", "galsim", "sqlitedict"], ) def psfex_interp_runner( input_file_list, @@ -29,15 +29,15 @@ def psfex_interp_runner( ): """Define The PSFEx Interpolation Runner.""" # Fetch interpolation run mode - mode = config.get(module_config_sec, 'MODE') + mode = config.get(module_config_sec, "MODE") # Fetch parameter values - pos_params = config.getlist(module_config_sec, 'POSITION_PARAMS') - get_shapes = config.getboolean(module_config_sec, 'GET_SHAPES') - star_thresh = config.getint(module_config_sec, 'STAR_THRESH') - chi2_thresh = config.getint(module_config_sec, 'CHI2_THRESH') + pos_params = config.getlist(module_config_sec, "POSITION_PARAMS") + get_shapes = config.getboolean(module_config_sec, "GET_SHAPES") + star_thresh = config.getint(module_config_sec, "STAR_THRESH") + chi2_thresh = config.getint(module_config_sec, "CHI2_THRESH") # Run in CLASSIC mode - if mode == 'CLASSIC': + if mode == "CLASSIC": # Set input paths psfcat_path, galcat_path = input_file_list @@ -46,7 +46,7 @@ def psfex_interp_runner( pi_inst = psfex_interp.PSFExInterpolator( psfcat_path, galcat_path, - run_dirs['output'], + run_dirs["output"], file_number_string, w_log, pos_params, @@ -59,28 +59,29 @@ def psfex_interp_runner( pi_inst.process() # Run in MULTI-EPOCH mode - elif mode == 'MULTI-EPOCH': + elif mode == "MULTI-EPOCH": # Fetch multi-epoch parameters module = config.getexpanded( module_config_sec, - 'ME_DOT_PSF_DIR', + "ME_DOT_PSF_DIR", ) module_name = module.split(":")[-1] if "last" in module: - dot_psf_dirs = [get_last_dir(run_dirs['run_log'], module_name)] + dot_psf_dirs = [get_last_dir(run_dirs["run_log"], module_name)] elif "all" in module: dot_psf_dirs = get_all_dirs(run_dirs["run_log"], module_name) else: raise ValueError( "Expected qualifier 'last:' or 'all' before module" - + f" '{module}' in config entry 'ME_DOT_PSF_DIR'") + + f" '{module}' in config entry 'ME_DOT_PSF_DIR'" + ) dot_psf_pattern = config.get( module_config_sec, - 'ME_DOT_PSF_PATTERN', + "ME_DOT_PSF_PATTERN", ) - f_wcs_path = config.getexpanded(module_config_sec, 'ME_LOG_WCS') + f_wcs_path = config.getexpanded(module_config_sec, "ME_LOG_WCS") # Set input paths galcat_path = input_file_list[0] @@ -89,7 +90,7 @@ def psfex_interp_runner( psfex_interp_inst = psfex_interp.PSFExInterpolator( None, galcat_path, - run_dirs['output'], + run_dirs["output"], file_number_string, w_log, pos_params, @@ -102,7 +103,7 @@ def psfex_interp_runner( psfex_interp_inst.process_me(dot_psf_dirs, dot_psf_pattern, f_wcs_path) # Run in VALIDATION mode - elif mode == 'VALIDATION': + elif mode == "VALIDATION": # Set input paths psfcat_path, galcat_path, psfex_cat_path = input_file_list @@ -111,7 +112,7 @@ def psfex_interp_runner( psfex_interp_inst = psfex_interp.PSFExInterpolator( psfcat_path, galcat_path, - run_dirs['output'], + run_dirs["output"], file_number_string, w_log, pos_params, @@ -125,7 +126,7 @@ def psfex_interp_runner( else: # Raise error for invalid run mode - ValueError('MODE has to be in : [CLASSIC, MULTI-EPOCH, VALIDATION]') + ValueError("MODE has to be in : [CLASSIC, MULTI-EPOCH, VALIDATION]") # No return objects return None, None diff --git a/shapepipe/modules/psfex_package/__init__.py b/shapepipe/modules/psfex_package/__init__.py index 81cdd2e69..63e7590d0 100644 --- a/shapepipe/modules/psfex_package/__init__.py +++ b/shapepipe/modules/psfex_package/__init__.py @@ -35,4 +35,4 @@ """ -__all__ = ['psfex_script'] +__all__ = ["psfex_script"] diff --git a/shapepipe/modules/psfex_package/psfex_script.py b/shapepipe/modules/psfex_package/psfex_script.py index 7e8866426..bde7b4a5d 100644 --- a/shapepipe/modules/psfex_package/psfex_script.py +++ b/shapepipe/modules/psfex_package/psfex_script.py @@ -39,7 +39,7 @@ def __init__( psfex_config_file, output_dir, outcatalog_name, - check_image_list + check_image_list, ): self.psfex_executable_path = psfex_executable_path self.input_file_path = input_file_path @@ -61,19 +61,16 @@ def generate_command(self): """ # Prepare command line command_line = ( - f'{self.psfex_executable_path} ' - + f'{self.input_file_path} ' - + f'-c {self.psfex_config_file} ' - + f'-PSF_DIR {self.output_dir} ' - + f'-OUTCAT_NAME {self.outcatalog_name}' + f"{self.psfex_executable_path} " + + f"{self.input_file_path} " + + f"-c {self.psfex_config_file} " + + f"-PSF_DIR {self.output_dir} " + + f"-OUTCAT_NAME {self.outcatalog_name}" ) - if ( - (len(self.check_image_list) == 1) - & (self.check_image_list[0] == '') - ): - check_type_list = ['NONE'] - check_name_list = ['none'] + if (len(self.check_image_list) == 1) & (self.check_image_list[0] == ""): + check_type_list = ["NONE"] + check_name_list = ["none"] else: # Get pattern for filenaming from file in list input_file_name = os.path.split(input_file_path)[-1] @@ -85,10 +82,10 @@ def generate_command(self): for check_image in self.check_image_list: check_type_list.append(check_image.upper()) check_name_list.append( - f'{output_dir}' - + f'/{suffix}' - + f'{check_image.lower()}' - + f'{file_number_string}.fits' + f"{output_dir}" + + f"/{suffix}" + + f"{check_image.lower()}" + + f"{file_number_string}.fits" ) # Add checks to command line @@ -120,11 +117,11 @@ def parse_errors(stderr, stdout): Updated standard output and error """ - check_error = re.findall('error', stdout.lower()) - check_error2 = re.findall('all done', stdout.lower()) + check_error = re.findall("error", stdout.lower()) + check_error2 = re.findall("all done", stdout.lower()) if check_error == []: - stderr2 = '' + stderr2 = "" else: stderr2 = stdout diff --git a/shapepipe/modules/psfex_runner.py b/shapepipe/modules/psfex_runner.py index 0398c46c8..d9c515e58 100644 --- a/shapepipe/modules/psfex_runner.py +++ b/shapepipe/modules/psfex_runner.py @@ -12,45 +12,41 @@ @module_runner( - input_module='setools_runner', - version='1.0', - file_pattern=['star_selection'], - file_ext=['.fits'], - executes='psfex', + input_module="setools_runner", + version="1.0", + file_pattern=["star_selection"], + file_ext=[".fits"], + executes="psfex", ) def psfex_runner( - input_file_list, - run_dirs, - file_number_string, - config, - module_config_sec, - w_log, + input_file_list, + run_dirs, + file_number_string, + config, + module_config_sec, + w_log, ): """Define The PSFEx Runner.""" # Extract psfex run configurations - if config.has_option(module_config_sec, 'EXEC_PATH'): + if config.has_option(module_config_sec, "EXEC_PATH"): psfex_executable_path = config.getexpanded( - module_config_sec, - 'EXEC_PATH' + module_config_sec, "EXEC_PATH" ) else: - psfex_executable_path = 'psfex' - output_dir = run_dirs['output'] + psfex_executable_path = "psfex" + output_dir = run_dirs["output"] - outcatalog_name = f'{output_dir}/psfex_cat{file_number_string}.cat' + outcatalog_name = f"{output_dir}/psfex_cat{file_number_string}.cat" - psfex_config_file = config.getexpanded( - module_config_sec, - 'DOT_PSFEX_FILE' - ) + psfex_config_file = config.getexpanded(module_config_sec, "DOT_PSFEX_FILE") input_file_path = input_file_list[0] # Check image options - if config.has_option(module_config_sec, 'CHECKIMAGE'): - check_image_list = config.getlist(module_config_sec, 'CHECKIMAGE') + if config.has_option(module_config_sec, "CHECKIMAGE"): + check_image_list = config.getlist(module_config_sec, "CHECKIMAGE") else: - check_image_list = [''] + check_image_list = [""] # Create psfex caller class instance psfex_inst = PSFExCaller( @@ -64,7 +60,7 @@ def psfex_runner( # Generate psfex command line command_line = psfex_inst.generate_command() - w_log.info(f'Running command \'{command_line}\'') + w_log.info(f"Running command '{command_line}'") # Execute command line stderr, stdout = execute(command_line) diff --git a/shapepipe/modules/python_example_package/__init__.py b/shapepipe/modules/python_example_package/__init__.py index ecc47860d..41bce721e 100644 --- a/shapepipe/modules/python_example_package/__init__.py +++ b/shapepipe/modules/python_example_package/__init__.py @@ -27,4 +27,4 @@ """ -__all__ = ['python_example'] +__all__ = ["python_example"] diff --git a/shapepipe/modules/python_example_package/python_example.py b/shapepipe/modules/python_example_package/python_example.py index d9ea2a22c..5bbe9a968 100644 --- a/shapepipe/modules/python_example_package/python_example.py +++ b/shapepipe/modules/python_example_package/python_example.py @@ -60,7 +60,7 @@ def _read_file(self, file_name): """ with open(file_name) as data_file: - content = data_file.read().replace('\n', '') + content = data_file.read().replace("\n", "") return content @@ -81,7 +81,7 @@ def read_files(self, file_name1, file_name2): content1 = self._read_file(file_name1) content2 = self._read_file(file_name2) - self.content = f'{content1} and {content2}' + self.content = f"{content1} and {content2}" def write_file(self, file_name, message): """Write File. @@ -98,6 +98,6 @@ def write_file(self, file_name, message): """ new_content = message + str(self.content) - text_file = open(file_name, 'w') + text_file = open(file_name, "w") text_file.write(new_content) text_file.close() diff --git a/shapepipe/modules/python_example_runner.py b/shapepipe/modules/python_example_runner.py index d468c10e0..f5016f08a 100644 --- a/shapepipe/modules/python_example_runner.py +++ b/shapepipe/modules/python_example_runner.py @@ -11,25 +11,25 @@ @module_runner( - version='1.1', - file_pattern=['numbers', 'letters'], - file_ext='.txt', + version="1.1", + file_pattern=["numbers", "letters"], + file_ext=".txt", depends=[ - 'numpy', - 'astropy', - 'galsim', - 'joblib', - 'mccd', - 'ngmix', - 'pandas', - 'pysap', - 'scipy', - 'sf_tools', - 'sip_tpv', - 'sqlitedict', - 'treecorr', + "numpy", + "astropy", + "galsim", + "joblib", + "mccd", + "ngmix", + "pandas", + "pysap", + "scipy", + "sf_tools", + "sip_tpv", + "sqlitedict", + "treecorr", ], - run_method='parallel', + run_method="parallel", ) def python_example_runner( input_file_list, @@ -46,7 +46,7 @@ def python_example_runner( ) # Retrieve log message from config file - message = config.get(module_config_sec, 'MESSAGE') + message = config.get(module_config_sec, "MESSAGE") # Create an instance of the Python example class py_ex_inst = python_example.PythonExample(0) diff --git a/shapepipe/modules/random_cat_package/__init__.py b/shapepipe/modules/random_cat_package/__init__.py index b3a1cf21e..32c6f64b2 100644 --- a/shapepipe/modules/random_cat_package/__init__.py +++ b/shapepipe/modules/random_cat_package/__init__.py @@ -34,4 +34,4 @@ """ -__all__ = ['random_cat.py'] +__all__ = ["random_cat.py"] diff --git a/shapepipe/modules/random_cat_package/random_cat.py b/shapepipe/modules/random_cat_package/random_cat.py index 3bdb6ba6d..feb69ff90 100644 --- a/shapepipe/modules/random_cat_package/random_cat.py +++ b/shapepipe/modules/random_cat_package/random_cat.py @@ -22,7 +22,7 @@ from shapepipe.utilities import cfis -class RandomCat(): +class RandomCat: """Random Catalogue. This class creates a random catalogue given a mask FITS file. @@ -90,24 +90,24 @@ def save_as_healpix(self, mask, header): return # Tranform config entry from str to int - nside = int(self._healpix_options['NSIDE']) + nside = int(self._healpix_options["NSIDE"]) mask_1d, footprint = reproject_to_healpix( (mask, header), - 'galactic', + "galactic", nside=nside, ) t = Table() - t['flux'] = mask_1d - t.meta['ORDERING'] = 'RING' - t.meta['COORDSYS'] = 'G' - t.meta['NSIDE'] = nside - t.meta['INDXSCHM'] = 'IMPLICIT' + t["flux"] = mask_1d + t.meta["ORDERING"] = "RING" + t.meta["COORDSYS"] = "G" + t.meta["NSIDE"] = nside + t.meta["INDXSCHM"] = "IMPLICIT" output_path = ( f'{self._output_dir}/{self._healpix_options["FILE_BASE"]}-' - + f'{self._file_number_string}.fits' + + f"{self._file_number_string}.fits" ) t.write(output_path) @@ -174,14 +174,14 @@ def process(self): # Check that a reasonably large number of pixels is not masked if n_unmasked < n_obj: raise ValueError( - f'Number of un-masked pixels {n_unmasked} is smaller ' - + f'than number of random objects requested {n_obj}' + f"Number of un-masked pixels {n_unmasked} is smaller " + + f"than number of random objects requested {n_obj}" ) else: n_obj = 0 - self._w_log.info(f'Creating {n_obj} random objects') + self._w_log.info(f"Creating {n_obj} random objects") # Draw points until n are in mask n_found = 0 @@ -213,35 +213,28 @@ def process(self): # Tile ID output_path = ( - f'{self._output_dir}/{self._output_file_pattern}-' - + f'{self._file_number_string}.fits' + f"{self._output_dir}/{self._output_file_pattern}-" + + f"{self._file_number_string}.fits" ) file_name = os.path.split(output_path)[1] file_base = os.path.splitext(file_name)[0] - tile_ID_str = re.split('-', file_base)[1:] - tile_id = float('.'.join(tile_ID_str)) + tile_ID_str = re.split("-", file_base)[1:] + tile_id = float(".".join(tile_ID_str)) tile_id_array = np.ones(n_obj) * tile_id # Write to output - cat_out = [ - ra_rand, - dec_rand, - x_rand, - y_rand, - tile_id_array - ] - column_names = ['RA', 'DEC', 'x', 'y', 'TILE_ID'] + cat_out = [ra_rand, dec_rand, x_rand, y_rand, tile_id_array] + column_names = ["RA", "DEC", "x", "y", "TILE_ID"] # TODO: Add units to header output = file_io.FITSCatalogue( - output_path, - open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite + output_path, open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite ) output.save_as_fits(cat_out, names=column_names) # Write area information to log file - self._w_log.info(f'Total area = {area_deg2:.4f} deg^2') - self._w_log.info(f'Unmasked area = {area_deg2_eff:.4f} deg^2') + self._w_log.info(f"Total area = {area_deg2:.4f} deg^2") + self._w_log.info(f"Unmasked area = {area_deg2_eff:.4f} deg^2") self._w_log.info( - f'Ratio masked to total pixels = {n_unmasked / n_pix:.3f}' + f"Ratio masked to total pixels = {n_unmasked / n_pix:.3f}" ) diff --git a/shapepipe/modules/random_cat_runner.py b/shapepipe/modules/random_cat_runner.py index 5595a53ad..665792fec 100644 --- a/shapepipe/modules/random_cat_runner.py +++ b/shapepipe/modules/random_cat_runner.py @@ -11,11 +11,11 @@ @module_runner( - version='1.1', - file_pattern=['image', 'pipeline_flag'], - file_ext=['.fits', 'fits'], - depends=['astropy'], - numbering_scheme='_0', + version="1.1", + file_pattern=["image", "pipeline_flag"], + file_ext=[".fits", "fits"], + depends=["astropy"], + numbering_scheme="_0", ) def random_cat_runner( input_file_list, @@ -31,42 +31,39 @@ def random_cat_runner( input_mask_name = input_file_list[1] # Set output file name - if config.has_option(module_config_sec, 'OUTPUT_FILE_PATTERN'): + if config.has_option(module_config_sec, "OUTPUT_FILE_PATTERN"): output_file_pattern = config.get( - module_config_sec, - 'OUTPUT_FILE_PATTERN' + module_config_sec, "OUTPUT_FILE_PATTERN" ) else: - output_file_pattern = 'random_cat' + output_file_pattern = "random_cat" # Get number of random objects requested on output - n_rand = config.getfloat(module_config_sec, 'N_RANDOM') + n_rand = config.getfloat(module_config_sec, "N_RANDOM") # Flag whether n_rand is total (DENSITY=False, default) # or per square degree (DENSITY=True) - if config.has_option(module_config_sec, 'DENSITY'): - density = config.getboolean(module_config_sec, 'DENSITY') + if config.has_option(module_config_sec, "DENSITY"): + density = config.getboolean(module_config_sec, "DENSITY") else: density = False # Get healpix output options save_mask_as_healpix = config.getboolean( - module_config_sec, - 'SAVE_MASK_AS_HEALPIX' + module_config_sec, "SAVE_MASK_AS_HEALPIX" ) if save_mask_as_healpix: healpix_options = {} - for option_trunc in ['FILE_BASE', 'NSIDE']: - option = f'HEALPIX_OUT_{option_trunc}' + for option_trunc in ["FILE_BASE", "NSIDE"]: + option = f"HEALPIX_OUT_{option_trunc}" healpix_options[option_trunc] = config.get( - module_config_sec, - option + module_config_sec, option ) # Create rand cat class instance rand_cat_inst = RandomCat( input_image_name, input_mask_name, - run_dirs['output'], + run_dirs["output"], file_number_string, output_file_pattern, n_rand, diff --git a/shapepipe/modules/serial_example_runner.py b/shapepipe/modules/serial_example_runner.py index 3baced6ee..61cfc3edf 100644 --- a/shapepipe/modules/serial_example_runner.py +++ b/shapepipe/modules/serial_example_runner.py @@ -19,13 +19,13 @@ def __init__(self): def _read_file(self, file_name): """Read File.""" with open(file_name) as data_file: - content = data_file.read().replace('\n', '') + content = data_file.read().replace("\n", "") return content def read_files(self, input_file_list): """Read Files.""" - self.content = '' + self.content = "" for file_list in input_file_list: for file_name in file_list: @@ -33,18 +33,18 @@ def read_files(self, input_file_list): def write_file(self, file_name): """Write Files.""" - text_file = open(file_name, 'w') + text_file = open(file_name, "w") text_file.write(self.content) text_file.close() @module_runner( - version='1.1', - input_module='python_example_runner', - file_pattern=['numbers', 'letters', 'pyex_output'], - file_ext=['.txt', '.txt', '.cat'], - depends='numpy', - run_method='serial', + version="1.1", + input_module="python_example_runner", + file_pattern=["numbers", "letters", "pyex_output"], + file_ext=[".txt", ".txt", ".cat"], + depends="numpy", + run_method="serial", ) def serial_example_runner( input_file_list, diff --git a/shapepipe/modules/setools_package/__init__.py b/shapepipe/modules/setools_package/__init__.py index 0414a9db7..502df0ae8 100644 --- a/shapepipe/modules/setools_package/__init__.py +++ b/shapepipe/modules/setools_package/__init__.py @@ -203,4 +203,4 @@ """ -__all__ = ['setools'] +__all__ = ["setools"] diff --git a/shapepipe/modules/setools_package/setools.py b/shapepipe/modules/setools_package/setools.py index 3d4d3eb9b..a54ce8515 100644 --- a/shapepipe/modules/setools_package/setools.py +++ b/shapepipe/modules/setools_package/setools.py @@ -88,39 +88,39 @@ def process(self, w_log): if self._is_file: file_number = self._file_number_string else: - file_number = '' + file_number = "" self.read() # Processing: Create mask = filter input if len(self._mask) != 0: - direc = f'{self._output_dir}/mask' + direc = f"{self._output_dir}/mask" mkdir(direc) self._make_mask() for key in self.mask.keys(): - if 'NO_SAVE' in self._mask[key]: + if "NO_SAVE" in self._mask[key]: continue - file_name = f'{direc}/{key}{file_number}.fits' + file_name = f"{direc}/{key}{file_number}.fits" self.save_mask(self.mask[key], file_name) if len(self._plot) != 0: - direc = f'{self._output_dir}/plot' + direc = f"{self._output_dir}/plot" mkdir(direc) self._make_plot() for key in self.plot.keys(): - output_path = f'{direc}/{key}{file_number}' + output_path = f"{direc}/{key}{file_number}" SEPlot(self.plot[key], self._data, output_path, self.mask) if len(self._new_cat) != 0: - direc = f'{self._output_dir}/new_cat' + direc = f"{self._output_dir}/new_cat" mkdir(direc) self._make_new_cat() for key in self.new_cat.keys(): - file_name = f'{direc}/{key}{file_number}' + file_name = f"{direc}/{key}{file_number}" self.save_new_cat(self.new_cat[key], file_name) if len(self._rand_split) != 0: - direc = f'{self._output_dir}/rand_split' + direc = f"{self._output_dir}/rand_split" mkdir(direc) self._make_rand_split() @@ -134,12 +134,13 @@ def process(self, w_log): empty_found = True if empty_found: w_log.info( - 'At least one random-split catalogue is empty, no ' - + 'random sub-samples written for sample_type=' - + f'{sample_type}') + "At least one random-split catalogue is empty, no " + + "random sub-samples written for sample_type=" + + f"{sample_type}" + ) continue - output_dir = f'{direc}/{sample_type}_' + output_dir = f"{direc}/{sample_type}_" self.save_rand_split( self.rand_split[sample_type], output_dir, @@ -147,11 +148,11 @@ def process(self, w_log): ) if len(self._stat) != 0: - direc = f'{self._output_dir}/stat' + direc = f"{self._output_dir}/stat" mkdir(direc) self._make_stat() for key in self.stat.keys(): - output_path = f'{direc}/{key}{file_number}.txt' + output_path = f"{direc}/{key}{file_number}.txt" self.save_stat(self.stat[key], output_path) def read(self): @@ -180,7 +181,7 @@ def read(self): while True: line_tmp = self._config_file.readline() - if line_tmp == '': + if line_tmp == "": break line_tmp = self._clean_line(line_tmp) @@ -192,49 +193,49 @@ def read(self): # [SECTION_TYPE:OBJECT_NAME], e.g. # [MASK:star_selection] - if (in_section != 0) & (re.split(r'\[', line_tmp)[0] == ''): + if (in_section != 0) & (re.split(r"\[", line_tmp)[0] == ""): in_section = 0 if not in_section: - if (re.split(r'\[', line_tmp)[0] != ''): - raise RuntimeError('No section found') + if re.split(r"\[", line_tmp)[0] != "": + raise RuntimeError("No section found") - sec = re.split(r'\[|\]', line_tmp)[1] - if re.split(':', sec)[0] == 'MASK': + sec = re.split(r"\[|\]", line_tmp)[1] + if re.split(":", sec)[0] == "MASK": in_section = 1 try: - mask_name = re.split(':', sec)[1] + mask_name = re.split(":", sec)[1] except Exception: - mask_name = f'mask_{len(self._mask) + 1}' + mask_name = f"mask_{len(self._mask) + 1}" self._mask_key.append(mask_name) self._mask[mask_name] = [] - elif re.split(':', sec)[0] == 'PLOT': + elif re.split(":", sec)[0] == "PLOT": in_section = 2 try: - plot_name = re.split(':', sec)[1] + plot_name = re.split(":", sec)[1] except Exception: - plot_name = f'plot_{len(self._plot) + 1}' + plot_name = f"plot_{len(self._plot) + 1}" self._plot[plot_name] = [] - elif re.split(':', sec)[0] == 'STAT': + elif re.split(":", sec)[0] == "STAT": in_section = 3 try: - stat_name = re.split(':', sec)[1] + stat_name = re.split(":", sec)[1] except Exception: - stat_name = f'stat_{len(self._stat) + 1}' + stat_name = f"stat_{len(self._stat) + 1}" self._stat[stat_name] = [] - elif re.split(':', sec)[0] == 'NEW_CAT': + elif re.split(":", sec)[0] == "NEW_CAT": in_section = 4 try: - new_cat_name = re.split(':', sec)[1] + new_cat_name = re.split(":", sec)[1] except Exception: - new_cat_name = f'new_cat_{len(self._new_cat) + 1}' + new_cat_name = f"new_cat_{len(self._new_cat) + 1}" self._new_cat[new_cat_name] = [] - elif re.split(':', sec)[0] == 'RAND_SPLIT': + elif re.split(":", sec)[0] == "RAND_SPLIT": in_section = 5 try: - rand_split_name = re.split(':', sec)[1] + rand_split_name = re.split(":", sec)[1] except Exception: rand_split_name = ( - f'rand_split_{len(self._rand_split) + 1}' + f"rand_split_{len(self._rand_split) + 1}" ) self._rand_split[rand_split_name] = [] else: @@ -274,23 +275,23 @@ def _clean_line(self, line): """ s = re.split('"', line) if len(s) == 3: - line_tmp = s[0].replace(' ', '') + s[1] + s[2].replace(' ', '') + line_tmp = s[0].replace(" ", "") + s[1] + s[2].replace(" ", "") else: - line_tmp = line.replace(' ', '') + line_tmp = line.replace(" ", "") - if re.split('#', line_tmp)[0] == '': + if re.split("#", line_tmp)[0] == "": return None - line_tmp = line_tmp.replace('\n', '') - line_tmp = line_tmp.replace('\t', '') - line_tmp = re.split('#', line_tmp)[0] + line_tmp = line_tmp.replace("\n", "") + line_tmp = line_tmp.replace("\t", "") + line_tmp = re.split("#", line_tmp)[0] - if line_tmp != '': + if line_tmp != "": return line_tmp else: return None - def save_mask(self, mask, output_path, ext_name='LDAC_OBJECTS'): + def save_mask(self, mask, output_path, ext_name="LDAC_OBJECTS"): """Save Mask. This function will apply a mask to the data and save them into a new @@ -315,12 +316,12 @@ def save_mask(self, mask, output_path, ext_name='LDAC_OBJECTS'): """ if mask is None: - raise ValueError('mask not provided') + raise ValueError("mask not provided") if len(mask) == 0: pass if output_path is None: - raise ValueError('output path not provided') + raise ValueError("output path not provided") mask_file = file_io.FITSCatalogue( output_path, @@ -333,7 +334,7 @@ def save_mask(self, mask, output_path, ext_name='LDAC_OBJECTS'): sex_cat_path=self._cat_filepath, ) - def save_new_cat(self, new_cat, output_path, ext_name='LDAC_OBJECTS'): + def save_new_cat(self, new_cat, output_path, ext_name="LDAC_OBJECTS"): """Save New Catalogue. This function creates a new catalogue with a specific format @@ -357,19 +358,19 @@ def save_new_cat(self, new_cat, output_path, ext_name='LDAC_OBJECTS'): """ try: - output_format = new_cat.pop('OUTPUT_FORMAT') + output_format = new_cat.pop("OUTPUT_FORMAT") except Exception: - raise ValueError('OUTPUT_FORMAT not provided') + raise ValueError("OUTPUT_FORMAT not provided") - if output_format == 'fits': + if output_format == "fits": new_file = file_io.FITSCatalogue( - output_path + '.fits', + output_path + ".fits", open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite, ) new_file.save_as_fits(data=new_cat, ext_name=ext_name) - elif output_format == 'SEx_cat': + elif output_format == "SEx_cat": new_file = file_io.FITSCatalogue( - output_path + '.fits', + output_path + ".fits", open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite, SEx_catalogue=(self._cat_filepath is not None), ) @@ -378,23 +379,23 @@ def save_new_cat(self, new_cat, output_path, ext_name='LDAC_OBJECTS'): ext_name=ext_name, sex_cat_path=self._cat_filepath, ) - elif (output_format == 'txt') | (output_format == 'ascii'): - new_file = open(output_path + '.txt', 'w') - new_file.write('# HEADER\n') - new_file.write('# ') + elif (output_format == "txt") | (output_format == "ascii"): + new_file = open(output_path + ".txt", "w") + new_file.write("# HEADER\n") + new_file.write("# ") n_max = -1 for key in new_cat.keys(): if len(new_cat[key]) > n_max: n_max = len(new_cat[key]) - new_file.write(f'{key}\t') - new_file.write('\n') + new_file.write(f"{key}\t") + new_file.write("\n") for idx in range(n_max): for key in new_cat.keys(): try: - new_file.write(f'{new_cat[key][idx]}\t') + new_file.write(f"{new_cat[key][idx]}\t") except Exception: - new_file.write('\t') - new_file.write('\n') + new_file.write("\t") + new_file.write("\n") new_file.close() else: raise ValueError("Format should be in ['fits', 'SEx_cat', 'txt']") @@ -404,7 +405,7 @@ def save_rand_split( rand_split, output_path, file_number, - ext_name='LDAC_OBJECTS', + ext_name="LDAC_OBJECTS", ): """Save Random Split Catalogues. @@ -432,18 +433,18 @@ def save_rand_split( """ if rand_split is None: - raise ValueError('rand_split not provided') + raise ValueError("rand_split not provided") if output_path is None: - raise ValueError('output path not provided') + raise ValueError("output path not provided") if file_number is None: - raise ValueError('file_number path not provided') + raise ValueError("file_number path not provided") - mask = rand_split.pop('mask') + mask = rand_split.pop("mask") data = self._data[mask] for idx in rand_split.keys(): rand_split_file = file_io.FITSCatalogue( - f'{output_path}{idx}{file_number}.fits', + f"{output_path}{idx}{file_number}.fits", open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite, SEx_catalogue=(self._cat_filepath is not None), ) @@ -474,15 +475,15 @@ def save_stat(self, stat, output_path): """ if stat is None: - raise ValueError('stat not provided') + raise ValueError("stat not provided") if output_path is None: - raise ValueError('output path not provided') + raise ValueError("output path not provided") - file = open(output_path, 'w') - file.write('# Statistics\n') + file = open(output_path, "w") + file.write("# Statistics\n") for key in stat.keys(): - file.write(f'{key} = {str(stat[key])}\n') + file.write(f"{key} = {str(stat[key])}\n") file.close() @@ -507,8 +508,8 @@ def _make_mask(self): global_mask = np.ones(self._cat_size, dtype=bool) global_ind = np.where(global_mask)[0] for idx in self._mask[key]: - s = re.split('{|}', idx) - if s[0] == '': + s = re.split("{|}", idx) + if s[0] == "": try: global_mask &= self.mask[s[1]] global_ind = np.where(global_mask)[0] @@ -518,7 +519,7 @@ def _make_mask(self): mask_tmp = None for idx in self._mask[key]: - if idx == 'NO_SAVE': + if idx == "NO_SAVE": continue tmp = StrInterpreter( idx, @@ -556,23 +557,23 @@ def _make_plot(self): for key in self._plot.keys(): self.plot[key] = {} for idx in self._plot[key]: - s = re.split('=', idx) + s = re.split("=", idx) if len(s) != 2: raise ValueError( - 'Plot option keyword/value not in correct format ' - + f'(key=val): {idx}' + "Plot option keyword/value not in correct format " + + f"(key=val): {idx}" ) - ss = re.split('_', s[0]) + ss = re.split("_", s[0]) if len(ss) == 1: - self.plot[key][ss[0]] = {'0': s[1]} + self.plot[key][ss[0]] = {"0": s[1]} elif len(ss) == 2: if ss[0] not in self.plot[key].keys(): self.plot[key][ss[0]] = {} self.plot[key][ss[0]][ss[1]] = s[1] else: raise ValueError( - 'Plot keyword not in correct format (key or key_i)' - + f': {idx}' + "Plot keyword not in correct format (key or key_i)" + + f": {idx}" ) def _make_new_cat(self): @@ -594,9 +595,9 @@ def _make_new_cat(self): for key in self._new_cat.keys(): self.new_cat[key] = {} for idx in self._new_cat[key]: - s = re.split('=', j) + s = re.split("=", j) if len(s) == 2: - if s[0] == 'OUTPUT_FORMAT': + if s[0] == "OUTPUT_FORMAT": self.new_cat[key][s[0]] = s[1] else: self.new_cat[key][s[0]] = StrInterpreter( @@ -606,7 +607,7 @@ def _make_new_cat(self): mask_dict=self.mask, ).result else: - raise ValueError(f'Not a valid format : {idx}') + raise ValueError(f"Not a valid format : {idx}") def _make_rand_split(self): """Make Random Split. @@ -632,25 +633,25 @@ def _make_rand_split(self): for key in self._rand_split.keys(): self.rand_split[key] = {} for idx in self._rand_split[key]: - s = re.split('=', idx) + s = re.split("=", idx) if len(s) != 2: raise ValueError( - f'Not a valid format : {self._rand_split[key][0]}' + f"Not a valid format : {self._rand_split[key][0]}" ) - if s[0] == 'RATIO': + if s[0] == "RATIO": try: ratio = float(s[1]) except Exception: - raise ValueError('RATIO is not a number') + raise ValueError("RATIO is not a number") if ratio >= 1: - ratio /= 100. - elif s[0] == 'MASK': - ss = re.split(',', s[1]) + ratio /= 100.0 + elif s[0] == "MASK": + ss = re.split(",", s[1]) for k in ss: try: mask &= self.mask[k] except Exception: - raise ValueError(f'mask {k} does not exist') + raise ValueError(f"mask {k} does not exist") cat_size = len(np.where(mask)[0]) n_keep = int(np.ceil(cat_size * ratio)) @@ -661,9 +662,9 @@ def _make_rand_split(self): mask_ratio.append(mask_left.pop(idx)) mask_ratio = np.array(mask_ratio) mask_left = np.array(mask_left) - self.rand_split[key]['mask'] = mask - self.rand_split[key][f'ratio_{int(ratio * 100)}'] = mask_ratio - self.rand_split[key][f'ratio_{100 - int(ratio * 100)}'] = mask_left + self.rand_split[key]["mask"] = mask + self.rand_split[key][f"ratio_{int(ratio * 100)}"] = mask_ratio + self.rand_split[key][f"ratio_{100 - int(ratio * 100)}"] = mask_left def _make_stat(self): """Make Statistics. @@ -683,9 +684,9 @@ def _make_stat(self): for key in self._stat.keys(): self.stat[key] = {} for idx in self._stat[key]: - s = re.split('=', idx) + s = re.split("=", idx) if len(s) != 2: - raise ValueError(f'Not a valid format : {idx}') + raise ValueError(f"Not a valid format : {idx}") self.stat[key][s[0]] = StrInterpreter( s[1], self._data, @@ -732,33 +733,33 @@ class SEPlot(object): def __init__(self, plot_dict, catalogue, output_path, mask_dict=None): if plot_dict is None: - raise ValueError('plot_dict not provided') + raise ValueError("plot_dict not provided") if catalogue is None: - raise ValueError('catalogue not provided') + raise ValueError("catalogue not provided") if output_path is None: - raise ValueError('output_path not provided') + raise ValueError("output_path not provided") self._plot = plot_dict self._output_path = output_path self._cat = catalogue self._mask_dict = mask_dict - if 'TYPE' not in self._plot.keys(): - raise ValueError('Plot type not specified') + if "TYPE" not in self._plot.keys(): + raise ValueError("Plot type not specified") - if self._plot['TYPE']['0'] in ['plot', 'PLOT']: - self._check_key_for_plot(['X', 'Y']) + if self._plot["TYPE"]["0"] in ["plot", "PLOT"]: + self._check_key_for_plot(["X", "Y"]) self._make_plot() - elif self._plot['TYPE']['0'] in ['scatter', 'SCATTER']: - self._check_key_for_plot(['X', 'Y']) + elif self._plot["TYPE"]["0"] in ["scatter", "SCATTER"]: + self._check_key_for_plot(["X", "Y"]) self._make_scatter() - elif self._plot['TYPE']['0'] in [ - 'histogram', - 'hist', - 'HISTOGRAM', - 'HIST' + elif self._plot["TYPE"]["0"] in [ + "histogram", + "hist", + "HISTOGRAM", + "HIST", ]: - self._check_key_for_plot(['Y']) + self._check_key_for_plot(["Y"]) self._make_hist() else: raise ValueError(f'Type : {self._plot["TYPE"]["0"]} not available') @@ -782,7 +783,7 @@ def _check_key_for_plot(self, key_list): for key in key_list: if key not in self._plot.keys(): raise ValueError( - f'Key \'{key}\' not provided for plot of type ' + f"Key '{key}' not provided for plot of type " + f'\'{self._plot["TYPE"]["0"]}\'' ) @@ -805,9 +806,9 @@ def _make_plot(self): """ self._fig = plt.figure() - if 'TITLE' in self._plot.keys(): - title = self._plot['TITLE']['0'] - s = re.split('@', title) + if "TITLE" in self._plot.keys(): + title = self._plot["TITLE"]["0"] + s = re.split("@", title) if len(s) >= 3: title = s[0] ii = 1 @@ -815,23 +816,25 @@ def _make_plot(self): if ii % 2 == 0: title += idx else: - title += str(StrInterpreter( - idx, - self._cat, - make_compare=False, - mask_dict=self._mask_dict, - ).result) + title += str( + StrInterpreter( + idx, + self._cat, + make_compare=False, + mask_dict=self._mask_dict, + ).result + ) ii += 1 else: - title = '' + title = "" self._fig.suptitle(title) - for key in self._plot['Y'].keys(): - if 'LABEL' in self._plot.keys(): + for key in self._plot["Y"].keys(): + if "LABEL" in self._plot.keys(): try: - label = self._plot['LABEL'][key] - s = re.split('@', label) + label = self._plot["LABEL"][key] + s = re.split("@", label) if len(s) >= 3: label = s[0] jj = 1 @@ -839,68 +842,70 @@ def _make_plot(self): if jj % 2 == 0: label += j else: - label += str(StrInterpreter( - j, - self._cat, - make_compare=False, - mask_dict=self._mask_dict, - ).result) + label += str( + StrInterpreter( + j, + self._cat, + make_compare=False, + mask_dict=self._mask_dict, + ).result + ) jj += 1 except Exception: label = None else: label = None - if 'COLOR' in self._plot.keys(): + if "COLOR" in self._plot.keys(): try: - color = self._plot['COLOR'][key] + color = self._plot["COLOR"][key] except Exception: color = None else: color = None - if 'MARKER' in self._plot.keys(): + if "MARKER" in self._plot.keys(): try: - marker = self._plot['MARKER'][key] + marker = self._plot["MARKER"][key] except Exception: - marker = '+' + marker = "+" else: - marker = '+' - if 'MARKERSIZE' in self._plot.keys(): + marker = "+" + if "MARKERSIZE" in self._plot.keys(): try: - markersize = self._plot['MARKERSIZE'][key] + markersize = self._plot["MARKERSIZE"][key] except Exception: markersize = 1 else: markersize = 1 - if 'LINE' in self._plot.keys(): + if "LINE" in self._plot.keys(): try: - line = self._plot['LINE'][key] + line = self._plot["LINE"][key] except Exception: - line = '' + line = "" else: - line = '' - if 'ALPHA' in self._plot.keys(): + line = "" + if "ALPHA" in self._plot.keys(): try: - alpha = self._plot['ALPHA'][key] + alpha = self._plot["ALPHA"][key] except Exception: alpha = None else: alpha = None try: - x = self._plot['X'][key] + x = self._plot["X"][key] except Exception: - if len(self._plot['X']) == 1: - x = self._plot['X'][self._plot['X'].keys()[0]] + if len(self._plot["X"]) == 1: + x = self._plot["X"][self._plot["X"].keys()[0]] else: raise ValueError( - 'You need to specify X for each Y provided if they ' - + 'dont have the same' + "You need to specify X for each Y provided if they " + + "dont have the same" ) plt.plot( StrInterpreter(x, self._cat, mask_dict=self._mask_dict).result, StrInterpreter( - self._plot['Y'][key], + self._plot["Y"][key], self._cat, mask_dict=self._mask_dict, ).result, @@ -914,33 +919,33 @@ def _make_plot(self): ) # Set ploy limits for x and y - for (lim, set_lim) in zip(['XLIM', 'YLIM'], [plt.xlim, plt.ylim]): + for lim, set_lim in zip(["XLIM", "YLIM"], [plt.xlim, plt.ylim]): if lim in self._plot.keys(): try: - val = re.split(',', self._plot[lim]['0']) + val = re.split(",", self._plot[lim]["0"]) except Exception: raise ValueError( - f'Plot {lim} keyword/value not in correct format ' + f"Plot {lim} keyword/value not in correct format " + f'({lim}=lower,upper): {self._plot[lim]["0"]}' ) set_lim(float(val[0]), float(val[1])) - if 'LABEL' in self._plot.keys(): + if "LABEL" in self._plot.keys(): plt.legend() - if 'XLABEL' in self._plot.keys(): - plt.xlabel(self._plot['XLABEL']['0']) - if 'YLABEL' in self._plot.keys(): - plt.ylabel(self._plot['YLABEL']['0']) + if "XLABEL" in self._plot.keys(): + plt.xlabel(self._plot["XLABEL"]["0"]) + if "YLABEL" in self._plot.keys(): + plt.ylabel(self._plot["YLABEL"]["0"]) - if 'FORMAT' in self._plot.keys(): - out_format = self._plot['FORMAT']['0'] + if "FORMAT" in self._plot.keys(): + out_format = self._plot["FORMAT"]["0"] else: out_format = "PNG" self._fig.savefig( - f'{self._output_path}.{out_format.lower()}', + f"{self._output_path}.{out_format.lower()}", format=out_format, ) plt.close() @@ -964,9 +969,9 @@ def _make_scatter(self): """ self._fig = plt.figure() - if 'TITLE' in self._plot.keys(): - title = self._plot['TITLE']['0'] - s = re.split('@', title) + if "TITLE" in self._plot.keys(): + title = self._plot["TITLE"]["0"] + s = re.split("@", title) if len(s) >= 3: title = s[0] counter = 1 @@ -974,23 +979,25 @@ def _make_scatter(self): if counter % 2 == 0: title += idx else: - title += str(StrInterpreter( - idx, - self._cat, - make_compare=False, - mask_dict=self._mask_dict, - ).result) + title += str( + StrInterpreter( + idx, + self._cat, + make_compare=False, + mask_dict=self._mask_dict, + ).result + ) counter += 1 else: - title = '' + title = "" self._fig.suptitle(title) - for key in self._plot['SCATTER'].keys(): - if 'LABEL' in self._plot.keys(): + for key in self._plot["SCATTER"].keys(): + if "LABEL" in self._plot.keys(): try: - label = self._plot['LABEL'][key] - s = re.split('@', label) + label = self._plot["LABEL"][key] + s = re.split("@", label) if len(s) >= 3: label = s[0] jj = 1 @@ -998,58 +1005,60 @@ def _make_scatter(self): if jj % 2 == 0: label += j else: - label += str(StrInterpreter( - j, - self._cat, - make_compare=False, - mask_dict=self._mask_dict, - ).result) + label += str( + StrInterpreter( + j, + self._cat, + make_compare=False, + mask_dict=self._mask_dict, + ).result + ) jj += 1 except Exception: label = None else: label = None - if 'MARKER' in self._plot.keys(): + if "MARKER" in self._plot.keys(): try: - marker = self._plot['MARKER'][key] + marker = self._plot["MARKER"][key] except Exception: - marker = '+' + marker = "+" else: - marker = '+' - if 'ALPHA' in self._plot.keys(): + marker = "+" + if "ALPHA" in self._plot.keys(): try: - alpha = self._plot['ALPHA'][key] + alpha = self._plot["ALPHA"][key] except Exception: alpha = None else: alpha = None try: - x = self._plot['X'][key] + x = self._plot["X"][key] except Exception: - if len(self._plot['X']) == 1: - x = self._plot['X'][self._plot['X'].keys()[0]] + if len(self._plot["X"]) == 1: + x = self._plot["X"][self._plot["X"].keys()[0]] else: raise ValueError( - 'You need to specify X for each SCATTER provided if ' - + 'they dont have the same' + "You need to specify X for each SCATTER provided if " + + "they dont have the same" ) try: - y = self._plot['Y'][key] + y = self._plot["Y"][key] except Exception: - if len(self._plot['Y']) == 1: - y = self._plot['Y'][self._plot['Y'].keys()[0]] + if len(self._plot["Y"]) == 1: + y = self._plot["Y"][self._plot["Y"].keys()[0]] else: raise ValueError( - 'You need to specify Y for each SCATTER provided if ' - + 'they dont have the same' + "You need to specify Y for each SCATTER provided if " + + "they dont have the same" ) plt.scatter( StrInterpreter(x, self._cat, mask_dict=self._mask_dict).result, StrInterpreter(y, self._cat, mask_dict=self._mask_dict).result, c=StrInterpreter( - self._plot['SCATTER'][key], + self._plot["SCATTER"][key], self._cat, mask_dict=self._mask_dict, ).result, @@ -1059,22 +1068,22 @@ def _make_scatter(self): figure=self._fig, ) - if 'LABEL' in self._plot.keys(): + if "LABEL" in self._plot.keys(): plt.legend() - if 'XLABEL' in self._plot.keys(): - plt.xlabel(self._plot['XLABEL']['0']) - if 'YLABEL' in self._plot.keys(): - plt.ylabel(self._plot['YLABEL']['0']) + if "XLABEL" in self._plot.keys(): + plt.xlabel(self._plot["XLABEL"]["0"]) + if "YLABEL" in self._plot.keys(): + plt.ylabel(self._plot["YLABEL"]["0"]) plt.colorbar() - if 'FORMAT' in self._plot.keys(): - out_format = self._plot['FORMAT']['0'] + if "FORMAT" in self._plot.keys(): + out_format = self._plot["FORMAT"]["0"] else: - out_format = 'PNG' + out_format = "PNG" self._fig.savefig( - f'{self._output_path}.{out_format.lower()}', + f"{self._output_path}.{out_format.lower()}", format=out_format, ) plt.close() @@ -1091,9 +1100,9 @@ def _make_hist(self): """ self._fig = plt.figure() - if 'TITLE' in self._plot.keys(): - title = self._plot['TITLE']['0'] - s = re.split('@', title) + if "TITLE" in self._plot.keys(): + title = self._plot["TITLE"]["0"] + s = re.split("@", title) if len(s) >= 3: title = s[0] counter = 1 @@ -1101,35 +1110,37 @@ def _make_hist(self): if counter % 2 == 0: title += idx else: - title += str(StrInterpreter( - idx, - self._cat, - make_compare=False, - mask_dict=self._mask_dict, - ).result) + title += str( + StrInterpreter( + idx, + self._cat, + make_compare=False, + mask_dict=self._mask_dict, + ).result + ) counter += 1 else: - title = '' + title = "" self._fig.suptitle(title) - if 'HTYPE' in self._plot.keys(): - htype = self._plot['HTYPE']['0'] + if "HTYPE" in self._plot.keys(): + htype = self._plot["HTYPE"]["0"] else: - htype = 'bar' - if 'LOG' in self._plot.keys(): - if self._plot['LOG']['0'] in ['True', 'true', '1']: + htype = "bar" + if "LOG" in self._plot.keys(): + if self._plot["LOG"]["0"] in ["True", "true", "1"]: log = True else: log = False else: log = False - for key in self._plot['Y'].keys(): - if 'LABEL' in self._plot.keys(): + for key in self._plot["Y"].keys(): + if "LABEL" in self._plot.keys(): try: - label = self._plot['LABEL'][key] - s = re.split('@', label) + label = self._plot["LABEL"][key] + s = re.split("@", label) if len(s) >= 3: label = s[0] jj = 1 @@ -1137,37 +1148,39 @@ def _make_hist(self): if jj % 2 == 0: label += j else: - label += str(StrInterpreter( - j, - self._cat, - make_compare=False, - mask_dict=self._mask_dict, - ).result) + label += str( + StrInterpreter( + j, + self._cat, + make_compare=False, + mask_dict=self._mask_dict, + ).result + ) jj += 1 except Exception: label = None else: label = None - if 'COLOR' in self._plot.keys(): + if "COLOR" in self._plot.keys(): try: - color = self._plot['COLOR'][key] + color = self._plot["COLOR"][key] except Exception: color = None else: color = None - if 'BIN' in self._plot.keys(): + if "BIN" in self._plot.keys(): try: - bins = int(self._plot['BIN'][key]) + bins = int(self._plot["BIN"][key]) except Exception: - if len(self._plot['BIN']) == 1: + if len(self._plot["BIN"]) == 1: bins = int( - self._plot['BIN'][self._plot['BIN'].keys()[0]] + self._plot["BIN"][self._plot["BIN"].keys()[0]] ) else: bins = 50 - if 'ALPHA' in self._plot.keys(): + if "ALPHA" in self._plot.keys(): try: - alpha = float(self._plot['ALPHA'][key]) + alpha = float(self._plot["ALPHA"][key]) except Exception: alpha = None else: @@ -1175,7 +1188,7 @@ def _make_hist(self): plt.hist( StrInterpreter( - self._plot['Y'][key], + self._plot["Y"][key], self._cat, mask_dict=self._mask_dict, ).result, @@ -1187,19 +1200,19 @@ def _make_hist(self): log=log, ) - if 'LABEL' in self._plot.keys(): + if "LABEL" in self._plot.keys(): plt.legend() - if 'XLABEL' in self._plot.keys(): - plt.xlabel(self._plot['XLABEL']['0']) - if 'YLABEL' in self._plot.keys(): - plt.ylabel(self._plot['YLABEL']['0']) - if 'FORMAT' in self._plot.keys(): - out_format = self._plot['FORMAT']['0'] + if "XLABEL" in self._plot.keys(): + plt.xlabel(self._plot["XLABEL"]["0"]) + if "YLABEL" in self._plot.keys(): + plt.ylabel(self._plot["YLABEL"]["0"]) + if "FORMAT" in self._plot.keys(): + out_format = self._plot["FORMAT"]["0"] else: - out_format = 'PNG' + out_format = "PNG" self._fig.savefig( - f'{self._output_path}.{out_format.lower()}', + f"{self._output_path}.{out_format.lower()}", format=out_format, ) plt.close() diff --git a/shapepipe/modules/setools_runner.py b/shapepipe/modules/setools_runner.py index a076bd08e..f68720de3 100644 --- a/shapepipe/modules/setools_runner.py +++ b/shapepipe/modules/setools_runner.py @@ -11,11 +11,11 @@ @module_runner( - input_module='sextractor_runner', - version='1.1', - file_pattern=['sexcat'], - file_ext=['.fits'], - depends=['numpy', 'matplotlib'], + input_module="sextractor_runner", + version="1.1", + file_pattern=["sexcat"], + file_ext=[".fits"], + depends=["numpy", "matplotlib"], ) def setools_runner( input_file_list, @@ -27,12 +27,12 @@ def setools_runner( ): """Define The SETools Runner.""" # Get path to setools configuration file - config_file = config.getexpanded(module_config_sec, 'SETOOLS_CONFIG_PATH') + config_file = config.getexpanded(module_config_sec, "SETOOLS_CONFIG_PATH") # Create instance of SETools se_inst = SETools( input_file_list[0], - run_dirs['output'], + run_dirs["output"], file_number_string, config_file, ) diff --git a/shapepipe/modules/sextractor_package/__init__.py b/shapepipe/modules/sextractor_package/__init__.py index 658acf8ef..e3cd01188 100644 --- a/shapepipe/modules/sextractor_package/__init__.py +++ b/shapepipe/modules/sextractor_package/__init__.py @@ -67,4 +67,4 @@ """ -__all__ = ['sextractor_script'] +__all__ = ["sextractor_script"] diff --git a/shapepipe/modules/sextractor_package/sextractor_script.py b/shapepipe/modules/sextractor_package/sextractor_script.py index 3720c00bc..2c0124eed 100644 --- a/shapepipe/modules/sextractor_package/sextractor_script.py +++ b/shapepipe/modules/sextractor_package/sextractor_script.py @@ -41,7 +41,7 @@ def get_header_value(image_path, key): val = float(val) except Exception: raise ValueError( - f'The key {key} does not return a float value. Got {val}' + f"The key {key} does not return a float value. Got {val}" ) return val @@ -77,7 +77,8 @@ def make_post_process(cat_path, f_wcs_path, pos_params, ccd_size): """ cat = file_io.FITSCatalogue( - cat_path, SEx_catalogue=True, + cat_path, + SEx_catalogue=True, open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite, ) cat.open() @@ -85,25 +86,25 @@ def make_post_process(cat_path, f_wcs_path, pos_params, ccd_size): f_wcs = SqliteDict(f_wcs_path) key_list = list(f_wcs.keys()) if len(key_list) == 0: - raise IOError(f'Could not read sql file \'{f_wcs_path}\'') + raise IOError(f"Could not read sql file '{f_wcs_path}'") n_hdu = len(f_wcs[key_list[0]]) history = [] for idx in cat.get_data(1)[0][0]: - if re.split('HISTORY', idx)[0] == '': + if re.split("HISTORY", idx)[0] == "": history.append(idx) exp_list = [] - pattern = r'([0-9]*)p\.(.*)' + pattern = r"([0-9]*)p\.(.*)" for hist in history: m = re.search(pattern, hist) exp_list.append(m.group(1)) - obj_id = np.copy(cat.get_data()['NUMBER']) + obj_id = np.copy(cat.get_data()["NUMBER"]) - n_epoch = np.zeros(len(obj_id), dtype='int32') + n_epoch = np.zeros(len(obj_id), dtype="int32") for idx, exp in enumerate(exp_list): - pos_tmp = np.ones(len(obj_id), dtype='int32') * -1 + pos_tmp = np.ones(len(obj_id), dtype="int32") * -1 for idx_j in range(n_hdu): if exp not in f_wcs: raise KeyError( @@ -111,11 +112,9 @@ def make_post_process(cat_path, f_wcs_path, pos_params, ccd_size): + f" found in header file {f_wcs_path}. Make sure this" + " file is complete." ) - w = f_wcs[exp][idx_j]['WCS'] + w = f_wcs[exp][idx_j]["WCS"] pix_tmp = w.all_world2pix( - cat.get_data()[pos_params[0]], - cat.get_data()[pos_params[1]], - 0 + cat.get_data()[pos_params[0]], cat.get_data()[pos_params[1]], 0 ) ind = ( (pix_tmp[0] > int(ccd_size[0])) @@ -132,22 +131,22 @@ def make_post_process(cat_path, f_wcs_path, pos_params, ccd_size): for ii in range(len(exp_name)) ], dtype=[ - ('NUMBER', obj_id.dtype), - ('EXP_NAME', exp_name.dtype), - ('CCD_N', pos_tmp.dtype) - ] + ("NUMBER", obj_id.dtype), + ("EXP_NAME", exp_name.dtype), + ("CCD_N", pos_tmp.dtype), + ], ) - cat.save_as_fits(data=a, ext_name=f'EPOCH_{idx}') + cat.save_as_fits(data=a, ext_name=f"EPOCH_{idx}") cat.open() f_wcs.close() - cat.add_col('N_EPOCH', n_epoch) + cat.add_col("N_EPOCH", n_epoch) cat.close() -class SExtractorCaller(): +class SExtractorCaller: """The SExtractor Caller. This class constructs the command line to call SExtractor based on the @@ -193,28 +192,28 @@ class SExtractorCaller(): """ def __init__( - self, - path_input_files, - path_output_dir, - number_string, - path_dot_sex, - path_dot_param, - path_dot_conv, - use_weight, - use_flag, - use_psf, - use_detection_image, - use_detection_weight, - use_zero_point, - use_background, - zero_point_key=None, - background_key=None, - check_image=None, - output_prefix=None, + self, + path_input_files, + path_output_dir, + number_string, + path_dot_sex, + path_dot_param, + path_dot_conv, + use_weight, + use_flag, + use_psf, + use_detection_image, + use_detection_weight, + use_zero_point, + use_background, + zero_point_key=None, + background_key=None, + check_image=None, + output_prefix=None, ): - self.cmd_line = '' - self._cmd_line_extra = '' + self.cmd_line = "" + self._cmd_line_extra = "" self._meas_img_path = path_input_files[0] self._all_input_path = path_input_files @@ -227,8 +226,13 @@ def __init__( self._path_dot_param = path_dot_param self._path_dot_conv = path_dot_conv - self.set_input_files(use_weight, use_flag, use_psf, - use_detection_image, use_detection_weight) + self.set_input_files( + use_weight, + use_flag, + use_psf, + use_detection_image, + use_detection_weight, + ) # Collect optional arguments for SExtractor self.get_zero_point(use_zero_point, zero_point_key) @@ -252,25 +256,25 @@ def get_output_name(self, output_prefix=None): """ if isinstance(output_prefix, type(None)): - self.prefix = '' + self.prefix = "" else: - if (output_prefix.lower() is not None) & (output_prefix != ''): - self.prefix = output_prefix + '_' + if (output_prefix.lower() is not None) & (output_prefix != ""): + self.prefix = output_prefix + "_" else: - self.prefix = '' + self.prefix = "" - output_file_name = self.prefix + f'sexcat{self._num_str}.fits' - output_file_path = f'{self._path_output_dir}/{output_file_name}' + output_file_name = self.prefix + f"sexcat{self._num_str}.fits" + output_file_path = f"{self._path_output_dir}/{output_file_name}" return output_file_path def set_input_files( - self, - use_weight, - use_flag, - use_psf, - use_detect_img, - use_detect_weight, + self, + use_weight, + use_flag, + use_psf, + use_detect_img, + use_detect_weight, ): """Set Input Files. @@ -303,15 +307,13 @@ def set_input_files( if use_flag: self._cmd_line_extra += ( - ' -FLAG_IMAGE ' - + f'{self._all_input_path[extra]}' + " -FLAG_IMAGE " + f"{self._all_input_path[extra]}" ) extra += 1 if use_psf: self._cmd_line_extra += ( - ' -PSF_NAME ' - + f'{self._all_input_path[extra]}' + " -PSF_NAME " + f"{self._all_input_path[extra]}" ) extra += 1 @@ -320,13 +322,12 @@ def set_input_files( # First, consistency checks if use_detect_weight and not use_detect_img: raise ValueError( - 'DETECTION_WEIGHT cannot be True ' - + 'if DETECTION_IMAGE is False' + "DETECTION_WEIGHT cannot be True " + + "if DETECTION_IMAGE is False" ) if use_detect_weight and not use_weight: raise ValueError( - 'DETECTION_WEIGHT cannot be True ' - + 'if WEIGHT_FILE is False' + "DETECTION_WEIGHT cannot be True " + "if WEIGHT_FILE is False" ) # Check for separate image file for detection and measurement @@ -347,18 +348,17 @@ def set_input_files( else: detect_weight_path = weight_image self._cmd_line_extra += ( - f' -WEIGHT_IMAGE {detect_weight_path}' - + f',{weight_image}' + f" -WEIGHT_IMAGE {detect_weight_path}" + f",{weight_image}" ) else: - self._cmd_line_extra += ' -WEIGHT_TYPE None' + self._cmd_line_extra += " -WEIGHT_TYPE None" if extra != len(self._all_input_path): raise ValueError( - 'Incoherence between input file number and keys ' - + f'related to extra files: 1 regular + {extra-1} extra ' - + 'files not compatible with total file list ' - + f'length of {len(self._all_input_path)}' + "Incoherence between input file number and keys " + + f"related to extra files: 1 regular + {extra-1} extra " + + "files not compatible with total file list " + + f"length of {len(self._all_input_path)}" ) def get_zero_point(self, use_zp, zp_key=None): @@ -376,7 +376,7 @@ def get_zero_point(self, use_zp, zp_key=None): """ if use_zp and not isinstance(zp_key, type(None)): zp_value = get_header_value(self._meas_img_path, zp_key) - self._cmd_line_extra += f' -MAG_ZEROPOINT {zp_value}' + self._cmd_line_extra += f" -MAG_ZEROPOINT {zp_value}" def get_background(self, use_bkg, bkg_key=None): """Get Background. @@ -394,7 +394,7 @@ def get_background(self, use_bkg, bkg_key=None): if use_bkg and not isinstance(bkg_key, type(None)): bkg_value = get_header_value(self._meas_img_path, bkg_key) self._cmd_line_extra += ( - f' -BACK_TYPE MANUAL -BACK_VALUE {bkg_value}' + f" -BACK_TYPE MANUAL -BACK_VALUE {bkg_value}" ) def get_check_image(self, check_image): @@ -408,18 +408,21 @@ def get_check_image(self, check_image): List of SExtractor keys corresponding to check images """ - if (len(check_image) == 1) & (check_image[0] == ''): - check_type = ['NONE'] - check_name = ['none'] + if (len(check_image) == 1) & (check_image[0] == ""): + check_type = ["NONE"] + check_name = ["none"] else: check_type = [] check_name = [] for key in check_image: check_type.append(key.upper()) check_name.append( - self._path_output_dir + '/' + self.prefix + self._path_output_dir + + "/" + + self.prefix + key.lower() - + self._num_str + '.fits' + + self._num_str + + ".fits" ) self._cmd_line_extra += ( @@ -445,14 +448,14 @@ def make_command_line(self, exec_path): """ # Base arguments for SExtractor command_line_base = ( - f'{exec_path} {self._detect_img_path},{self._meas_img_path} ' - + f'-c {self._path_dot_sex} ' - + f'-PARAMETERS_NAME {self._path_dot_param} ' - + f'-FILTER_NAME {self._path_dot_conv} ' - + f'-CATALOG_NAME {self.path_output_file}' + f"{exec_path} {self._detect_img_path},{self._meas_img_path} " + + f"-c {self._path_dot_sex} " + + f"-PARAMETERS_NAME {self._path_dot_param} " + + f"-FILTER_NAME {self._path_dot_conv} " + + f"-CATALOG_NAME {self.path_output_file}" ) - command_line = f'{command_line_base} {self._cmd_line_extra}' + command_line = f"{command_line_base} {self._cmd_line_extra}" return command_line @@ -476,11 +479,11 @@ def parse_errors(stderr, stdout): Updated standard output and error """ - check_error = re.findall('error', stdout.lower()) - check_error2 = re.findall('all done', stdout.lower()) + check_error = re.findall("error", stdout.lower()) + check_error2 = re.findall("all done", stdout.lower()) if check_error == []: - stderr2 = '' + stderr2 = "" else: stderr2 = stdout diff --git a/shapepipe/modules/sextractor_runner.py b/shapepipe/modules/sextractor_runner.py index e65374983..869523441 100644 --- a/shapepipe/modules/sextractor_runner.py +++ b/shapepipe/modules/sextractor_runner.py @@ -14,12 +14,12 @@ @module_runner( - version='1.0.1', - input_module='mask_runner', - file_pattern=['image', 'weight', 'flag'], - file_ext=['.fits', '.fits', '.fits'], - executes=['sex'], - depends=['numpy'], + version="1.0.1", + input_module="mask_runner", + file_pattern=["image", "weight", "flag"], + file_ext=[".fits", ".fits", ".fits"], + executes=["sex"], + depends=["numpy"], ) def sextractor_runner( input_file_list, @@ -31,47 +31,47 @@ def sextractor_runner( ): """Define The SExtractor Runner.""" # Set the SExtractor executable name - if config.has_option(module_config_sec, 'EXEC_PATH'): - exec_path = config.getexpanded(module_config_sec, 'EXEC_PATH') + if config.has_option(module_config_sec, "EXEC_PATH"): + exec_path = config.getexpanded(module_config_sec, "EXEC_PATH") else: - exec_path = 'sex' + exec_path = "sex" # Get SExtractor config options - dot_sex = config.getexpanded(module_config_sec, 'DOT_SEX_FILE') - dot_param = config.getexpanded(module_config_sec, 'DOT_PARAM_FILE') - dot_conv = config.getexpanded(module_config_sec, 'DOT_CONV_FILE') - weight_file = config.getboolean(module_config_sec, 'WEIGHT_IMAGE') - flag_file = config.getboolean(module_config_sec, 'FLAG_IMAGE') - psf_file = config.getboolean(module_config_sec, 'PSF_FILE') - detection_image = config.getboolean(module_config_sec, 'DETECTION_IMAGE') - detection_weight = config.getboolean(module_config_sec, 'DETECTION_WEIGHT') - - zp_from_header = config.getboolean(module_config_sec, 'ZP_FROM_HEADER') + dot_sex = config.getexpanded(module_config_sec, "DOT_SEX_FILE") + dot_param = config.getexpanded(module_config_sec, "DOT_PARAM_FILE") + dot_conv = config.getexpanded(module_config_sec, "DOT_CONV_FILE") + weight_file = config.getboolean(module_config_sec, "WEIGHT_IMAGE") + flag_file = config.getboolean(module_config_sec, "FLAG_IMAGE") + psf_file = config.getboolean(module_config_sec, "PSF_FILE") + detection_image = config.getboolean(module_config_sec, "DETECTION_IMAGE") + detection_weight = config.getboolean(module_config_sec, "DETECTION_WEIGHT") + + zp_from_header = config.getboolean(module_config_sec, "ZP_FROM_HEADER") if zp_from_header: - zp_key = config.get(module_config_sec, 'ZP_KEY') + zp_key = config.get(module_config_sec, "ZP_KEY") else: zp_key = None - bkg_from_header = config.getboolean(module_config_sec, 'BKG_FROM_HEADER') + bkg_from_header = config.getboolean(module_config_sec, "BKG_FROM_HEADER") if bkg_from_header: - bkg_key = config.get(module_config_sec, 'BKG_KEY') + bkg_key = config.get(module_config_sec, "BKG_KEY") else: bkg_key = None - if config.has_option(module_config_sec, 'CHECKIMAGE'): - check_image = config.getlist(module_config_sec, 'CHECKIMAGE') + if config.has_option(module_config_sec, "CHECKIMAGE"): + check_image = config.getlist(module_config_sec, "CHECKIMAGE") else: - check_image = [''] + check_image = [""] - if config.has_option(module_config_sec, 'PREFIX'): - prefix = config.get(module_config_sec, 'PREFIX') + if config.has_option(module_config_sec, "PREFIX"): + prefix = config.get(module_config_sec, "PREFIX") else: prefix = None # Create sextractor caller class instance ss_inst = ss.SExtractorCaller( input_file_list, - run_dirs['output'], + run_dirs["output"], file_number_string, dot_sex, dot_param, @@ -91,7 +91,7 @@ def sextractor_runner( # Generate sextractor command line command_line = ss_inst.make_command_line(exec_path) - w_log.info(f'Calling command: {command_line}') + w_log.info(f"Calling command: {command_line}") # Execute command line stderr, stdout = execute(command_line) @@ -100,14 +100,12 @@ def sextractor_runner( stdout, stderr = ss_inst.parse_errors(stderr, stdout) # Run sextractor post processing - if config.getboolean(module_config_sec, 'MAKE_POST_PROCESS'): - f_wcs_path = config.getexpanded(module_config_sec, 'LOG_WCS') - pos_params = config.getlist(module_config_sec, 'WORLD_POSITION') - ccd_size = config.getlist(module_config_sec, 'CCD_SIZE') + if config.getboolean(module_config_sec, "MAKE_POST_PROCESS"): + f_wcs_path = config.getexpanded(module_config_sec, "LOG_WCS") + pos_params = config.getlist(module_config_sec, "WORLD_POSITION") + ccd_size = config.getlist(module_config_sec, "CCD_SIZE") ss.make_post_process( - ss_inst.path_output_file, - f_wcs_path, - pos_params, ccd_size + ss_inst.path_output_file, f_wcs_path, pos_params, ccd_size ) # Return stdout and stderr diff --git a/shapepipe/modules/split_exp_package/__init__.py b/shapepipe/modules/split_exp_package/__init__.py index fb55a7f42..4cfb8a764 100644 --- a/shapepipe/modules/split_exp_package/__init__.py +++ b/shapepipe/modules/split_exp_package/__init__.py @@ -39,4 +39,4 @@ """ -__all__ = ['split_exp.py'] +__all__ = ["split_exp.py"] diff --git a/shapepipe/modules/split_exp_package/split_exp.py b/shapepipe/modules/split_exp_package/split_exp.py index 3af708af7..c4b824389 100644 --- a/shapepipe/modules/split_exp_package/split_exp.py +++ b/shapepipe/modules/split_exp_package/split_exp.py @@ -42,7 +42,7 @@ def __init__( output_dir, file_number_string, output_suffix, - n_hdu + n_hdu, ): self._input_file_list = input_file_list @@ -58,29 +58,19 @@ def process(self): """ for exp_path, output_suffix in zip( - self._input_file_list, - self._output_suffix + self._input_file_list, self._output_suffix ): - transf_int = 'flag' in output_suffix - transf_coord = 'image' in output_suffix - save_header = 'image' in output_suffix + transf_int = "flag" in output_suffix + transf_coord = "image" in output_suffix + save_header = "image" in output_suffix self.create_hdus( - exp_path, - output_suffix, - transf_coord, - transf_int, - save_header + exp_path, output_suffix, transf_coord, transf_int, save_header ) def create_hdus( - self, - exp_path, - output_suffix, - transf_coord, - transf_int, - save_header + self, exp_path, output_suffix, transf_coord, transf_int, save_header ): """Create HDUs. @@ -100,7 +90,7 @@ def create_hdus( Save WCS information if ``True`` """ - header_file = np.zeros(self._n_hdu, dtype='O') + header_file = np.zeros(self._n_hdu, dtype="O") hdu_list = fits.open(exp_path) if len(hdu_list) != self._n_hdu + 1: @@ -111,12 +101,12 @@ def create_hdus( for idx in range(1, self._n_hdu + 1): - #h = fits.getheader(exp_path, idx) + # h = fits.getheader(exp_path, idx) h = hdu_list[idx].header if transf_coord: stp.pv_to_sip(h) - #d = fits.getdata(exp_path, idx) + # d = fits.getdata(exp_path, idx) try: d = hdu_list[idx].data except TypeError as e: @@ -131,13 +121,12 @@ def create_hdus( d = d.astype(np.int16) file_name = ( - f'{self._output_dir}/{output_suffix}' - + f'{self._file_number_string}-{str(idx-1)}.fits' + f"{self._output_dir}/{output_suffix}" + + f"{self._file_number_string}-{str(idx-1)}.fits" ) new_file = file_io.FITSCatalogue( - file_name, - open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite + file_name, open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite ) new_file.save_as_fits(data=d, image=True, image_header=h) @@ -145,13 +134,12 @@ def create_hdus( try: w = WCS(h) except Exception: - print(f'WCS error for file {exp_path}') + print(f"WCS error for file {exp_path}") raise - header_file[idx - 1] = {'WCS': w, 'header': h.tostring()} - + header_file[idx - 1] = {"WCS": w, "header": h.tostring()} if save_header: file_name = ( - f'{self._output_dir}/headers{self._file_number_string}.npy' + f"{self._output_dir}/headers{self._file_number_string}.npy" ) np.save(file_name, header_file) diff --git a/shapepipe/modules/split_exp_runner.py b/shapepipe/modules/split_exp_runner.py index 5ddae5328..77e6010d0 100644 --- a/shapepipe/modules/split_exp_runner.py +++ b/shapepipe/modules/split_exp_runner.py @@ -11,12 +11,12 @@ @module_runner( - version='1.1', - input_module='get_images_runner', - file_pattern=['image', 'weight', 'flag'], - file_ext=['.fz', '.fz', '.fz'], - depends=['numpy', 'astropy', 'sip_tpv'], - run_method='parallel', + version="1.1", + input_module="get_images_runner", + file_pattern=["image", "weight", "flag"], + file_ext=[".fz", ".fz", ".fz"], + depends=["numpy", "astropy", "sip_tpv"], + run_method="parallel", ) def split_exp_runner( input_file_list, @@ -28,17 +28,17 @@ def split_exp_runner( ): """Define The Split Exposures Runner.""" # Get file suffix - output_suffix = config.getlist(module_config_sec, 'OUTPUT_SUFFIX') + output_suffix = config.getlist(module_config_sec, "OUTPUT_SUFFIX") # Get the number of HDUs - n_hdu = config.getint(module_config_sec, 'N_HDU') + n_hdu = config.getint(module_config_sec, "N_HDU") # Create split exposures class instance split_inst = SplitExposures( input_file_list, - run_dirs['output'], + run_dirs["output"], file_number_string, output_suffix, - n_hdu + n_hdu, ) # Process splitting diff --git a/shapepipe/modules/spread_model_package/__init__.py b/shapepipe/modules/spread_model_package/__init__.py index 045e19977..336283e78 100644 --- a/shapepipe/modules/spread_model_package/__init__.py +++ b/shapepipe/modules/spread_model_package/__init__.py @@ -33,4 +33,4 @@ """ -__all__ = ['spread_model'] +__all__ = ["spread_model"] diff --git a/shapepipe/modules/spread_model_package/spread_model.py b/shapepipe/modules/spread_model_package/spread_model.py index 98deb4aa5..0ea9c51f9 100644 --- a/shapepipe/modules/spread_model_package/spread_model.py +++ b/shapepipe/modules/spread_model_package/spread_model.py @@ -61,7 +61,7 @@ def get_sm(obj_vign, psf_vign, model_vign, weight_vign): tnt = np.sum(t_v * noise_v * t_v * w_v) pnp = np.sum(psf_v * noise_v * psf_v * w_v) tnp = np.sum(t_v * noise_v * psf_v * w_v) - err = tnt * pg ** 2 + pnp * tg ** 2 - 2 * tnp * pg * tg + err = tnt * pg**2 + pnp * tg**2 - 2 * tnp * pg * tg # Compute spread model if pg > 0: @@ -102,9 +102,7 @@ def get_model(sigma, flux, img_shape, pixel_scale=0.186): """ # Get scale radius - scale_radius = ( - 1 / 16 * galaxy.sigma_to_fwhm(sigma, pixel_scale=pixel_scale) - ) + scale_radius = 1 / 16 * galaxy.sigma_to_fwhm(sigma, pixel_scale=pixel_scale) # Get galaxy model gal_obj = galsim.Exponential(scale_radius=scale_radius, flux=flux) @@ -117,15 +115,11 @@ def get_model(sigma, flux, img_shape, pixel_scale=0.186): # Draw galaxy and PSF on vignets gal_vign = gal_obj.drawImage( - nx=img_shape[0], - ny=img_shape[1], - scale=pixel_scale + nx=img_shape[0], ny=img_shape[1], scale=pixel_scale ).array psf_vign = psf_obj.drawImage( - nx=img_shape[0], - ny=img_shape[1], - scale=pixel_scale + nx=img_shape[0], ny=img_shape[1], scale=pixel_scale ).array return gal_vign, psf_vign @@ -167,7 +161,7 @@ def __init__( weight_cat_path, output_path, pixel_scale, - output_mode + output_mode, ): self._sex_cat_path = sex_cat_path @@ -186,11 +180,11 @@ def process(self): # Get data sex_cat = file_io.FITSCatalogue(self._sex_cat_path, SEx_catalogue=True) sex_cat.open() - obj_id = np.copy(sex_cat.get_data()['NUMBER']) - obj_vign = np.copy(sex_cat.get_data()['VIGNET']) + obj_id = np.copy(sex_cat.get_data()["NUMBER"]) + obj_vign = np.copy(sex_cat.get_data()["VIGNET"]) obj_mag = None - if self._output_mode == 'new': - obj_mag = np.copy(sex_cat.get_data()['MAG_AUTO']) + if self._output_mode == "new": + obj_mag = np.copy(sex_cat.get_data()["MAG_AUTO"]) sex_cat.close() psf_cat = SqliteDict(self._psf_cat_path) @@ -200,7 +194,7 @@ def process(self): SEx_catalogue=True, ) weight_cat.open() - weigh_vign = weight_cat.get_data()['VIGNET'] + weigh_vign = weight_cat.get_data()["VIGNET"] weight_cat.close() # Get spread model @@ -210,7 +204,7 @@ def process(self): for idx, id_tmp in enumerate(obj_id): sigma_list = [] - if psf_cat[str(id_tmp)] == 'empty': + if psf_cat[str(id_tmp)] == "empty": spread_model_final.append(-1) spread_model_err_final.append(1) continue @@ -219,27 +213,22 @@ def process(self): for expccd_name_tmp in psf_expccd_name: psf_cat_id_ccd = psf_cat[str(id_tmp)][expccd_name_tmp] - sigma_list.append( - psf_cat_id_ccd['SHAPES']['SIGMA_PSF_HSM'] - ) + sigma_list.append(psf_cat_id_ccd["SHAPES"]["SIGMA_PSF_HSM"]) obj_sigma_tmp = np.mean(sigma_list) if obj_sigma_tmp > 0: obj_vign_tmp = obj_vign[idx] - obj_flux_tmp = 1. + obj_flux_tmp = 1.0 obj_weight_tmp = weigh_vign[idx] obj_model_tmp, obj_psf_tmp = get_model( obj_sigma_tmp, obj_flux_tmp, obj_vign_tmp.shape, - self._pixel_scale + self._pixel_scale, ) obj_sm, obj_sm_err = get_sm( - obj_vign_tmp, - obj_psf_tmp, - obj_model_tmp, - obj_weight_tmp + obj_vign_tmp, obj_psf_tmp, obj_model_tmp, obj_weight_tmp ) else: # size < 0, something is not right with this object @@ -248,19 +237,16 @@ def process(self): spread_model_final.append(obj_sm) spread_model_err_final.append(obj_sm_err) - spread_model_final = np.array(spread_model_final, dtype='float64') + spread_model_final = np.array(spread_model_final, dtype="float64") spread_model_err_final = np.array( spread_model_err_final, - dtype='float64', + dtype="float64", ) psf_cat.close() self.save_results( - spread_model_final, - spread_model_err_final, - obj_mag, - obj_id + spread_model_final, spread_model_err_final, obj_mag, obj_id ) def save_results(self, sm, sm_err, mag, number): @@ -285,23 +271,22 @@ def save_results(self, sm, sm_err, mag, number): For incorrect output mode """ - if self._output_mode == 'new': + if self._output_mode == "new": new_cat = file_io.FITSCatalogue( self._output_path, SEx_catalogue=True, - open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite + open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite, ) dict_data = { - 'NUMBER': number, - 'MAG': mag, - 'SPREAD_MODEL': sm, - 'SPREADERR_MODEL': sm_err + "NUMBER": number, + "MAG": mag, + "SPREAD_MODEL": sm, + "SPREADERR_MODEL": sm_err, } new_cat.save_as_fits( - data=dict_data, - sex_cat_path=self._sex_cat_path + data=dict_data, sex_cat_path=self._sex_cat_path ) - elif self._output_mode == 'add': + elif self._output_mode == "add": ori_cat = file_io.FITSCatalogue( self._sex_cat_path, SEx_catalogue=True, @@ -310,17 +295,14 @@ def save_results(self, sm, sm_err, mag, number): new_cat = file_io.FITSCatalogue( self._output_path, SEx_catalogue=True, - open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite + open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite, ) ori_cat.add_col( - 'SPREAD_MODEL', - sm, - new_cat=True, - new_cat_inst=new_cat + "SPREAD_MODEL", sm, new_cat=True, new_cat_inst=new_cat ) ori_cat.close() new_cat.open() - new_cat.add_col('SPREADERR_MODEL', sm_err) + new_cat.add_col("SPREADERR_MODEL", sm_err) new_cat.close() else: - raise ValueError('Mode must be in [new, add].') + raise ValueError("Mode must be in [new, add].") diff --git a/shapepipe/modules/spread_model_runner.py b/shapepipe/modules/spread_model_runner.py index 59e1319be..16c9a2d3b 100644 --- a/shapepipe/modules/spread_model_runner.py +++ b/shapepipe/modules/spread_model_runner.py @@ -11,16 +11,16 @@ @module_runner( - version='1.1', + version="1.1", input_module=[ - 'sextractor_runner', - 'psfex_interp_runner', - 'vignetmaker_runner' + "sextractor_runner", + "psfex_interp_runner", + "vignetmaker_runner", ], - file_pattern=['sexcat', 'galaxy_psf', 'weight_vign'], - file_ext=['.fits', '.sqlite', '.fits'], - depends=['numpy', 'galsim'], - run_method='parallel', + file_pattern=["sexcat", "galaxy_psf", "weight_vign"], + file_ext=[".fits", ".sqlite", ".fits"], + depends=["numpy", "galsim"], + run_method="parallel", ) def spread_model_runner( input_file_list, @@ -35,21 +35,21 @@ def spread_model_runner( sex_cat_path, psf_cat_path, weight_cat_path = input_file_list # Get file prefix (optional) - if config.has_option(module_config_sec, 'PREFIX'): - prefix = config.get(module_config_sec, 'PREFIX') - if (prefix.lower() != 'none') & (prefix != ''): - prefix = prefix + '_' + if config.has_option(module_config_sec, "PREFIX"): + prefix = config.get(module_config_sec, "PREFIX") + if (prefix.lower() != "none") & (prefix != ""): + prefix = prefix + "_" else: - prefix = '' + prefix = "" else: - prefix = '' + prefix = "" # Get pixel scale and output mode - pixel_scale = config.getfloat(module_config_sec, 'PIXEL_SCALE') - output_mode = config.get(module_config_sec, 'OUTPUT_MODE') + pixel_scale = config.getfloat(module_config_sec, "PIXEL_SCALE") + output_mode = config.get(module_config_sec, "OUTPUT_MODE") # Set output file path - file_name = f'{prefix}sexcat_sm{file_number_string}.fits' + file_name = f"{prefix}sexcat_sm{file_number_string}.fits" output_path = f'{run_dirs["output"]}/{file_name}' # Create spread model class instance diff --git a/shapepipe/modules/uncompress_fits_package/__init__.py b/shapepipe/modules/uncompress_fits_package/__init__.py index 2630e1ab4..5f5cd26bc 100644 --- a/shapepipe/modules/uncompress_fits_package/__init__.py +++ b/shapepipe/modules/uncompress_fits_package/__init__.py @@ -29,4 +29,4 @@ """ -__all__ = ['uncompress_fits'] +__all__ = ["uncompress_fits"] diff --git a/shapepipe/modules/uncompress_fits_package/uncompress_fits.py b/shapepipe/modules/uncompress_fits_package/uncompress_fits.py index f8eca921d..55f3d4d75 100644 --- a/shapepipe/modules/uncompress_fits_package/uncompress_fits.py +++ b/shapepipe/modules/uncompress_fits_package/uncompress_fits.py @@ -35,7 +35,7 @@ def __init__( output_pattern_list, output_dir, file_number_string, - data_hdu + data_hdu, ): self._input_file_list = input_file_list @@ -61,7 +61,7 @@ def process(self): hdu = fits.PrimaryHDU(data, header) hdul = fits.HDUList([hdu]) hdul.writeto( - f'{self._output_dir}/' - + f'{self._output_pattern_list[idx]}' - + f'{self._file_number_string}.fits' + f"{self._output_dir}/" + + f"{self._output_pattern_list[idx]}" + + f"{self._file_number_string}.fits" ) diff --git a/shapepipe/modules/uncompress_fits_runner.py b/shapepipe/modules/uncompress_fits_runner.py index 3ff070233..39ee4186e 100644 --- a/shapepipe/modules/uncompress_fits_runner.py +++ b/shapepipe/modules/uncompress_fits_runner.py @@ -11,10 +11,10 @@ @module_runner( - version='1.1', - file_pattern=['image'], - file_ext=['.fits'], - numbering_scheme='_0', + version="1.1", + file_pattern=["image"], + file_ext=[".fits"], + numbering_scheme="_0", ) def uncompress_fits_runner( input_file_list, @@ -26,27 +26,27 @@ def uncompress_fits_runner( ): """Define The Uncompress Fits Runner.""" # Get HDU number of input image data - if config.has_option(module_config_sec, 'HDU_DATA'): - data_hdu = config.getint(module_config_sec, 'HDU_DATA') + if config.has_option(module_config_sec, "HDU_DATA"): + data_hdu = config.getint(module_config_sec, "HDU_DATA") else: data_hdu = 0 # Get output patterns - output_pattern_list = config.getlist(module_config_sec, 'OUTPUT_PATTERN') + output_pattern_list = config.getlist(module_config_sec, "OUTPUT_PATTERN") # Check consistency of input and output list lengths if len(input_file_list) != len(output_pattern_list): raise ValueError( - f'Lists INPUT_PATH ({len(input_file_list)})' - + f' and OUTPUT_PATTERN ({len(output_pattern_list)})' - + 'need to be of equal length.' + f"Lists INPUT_PATH ({len(input_file_list)})" + + f" and OUTPUT_PATTERN ({len(output_pattern_list)})" + + "need to be of equal length." ) # Create instance of uncompress uncompress_inst = uncompress_fits.Uncompress( input_file_list, output_pattern_list, - run_dirs['output'], + run_dirs["output"], file_number_string, data_hdu, ) diff --git a/shapepipe/modules/vignetmaker_package/__init__.py b/shapepipe/modules/vignetmaker_package/__init__.py index a61e83c27..b24f8397e 100644 --- a/shapepipe/modules/vignetmaker_package/__init__.py +++ b/shapepipe/modules/vignetmaker_package/__init__.py @@ -47,4 +47,4 @@ """ -__all__ = ['vignetmaker'] +__all__ = ["vignetmaker"] diff --git a/shapepipe/modules/vignetmaker_package/vignetmaker.py b/shapepipe/modules/vignetmaker_package/vignetmaker.py index a7e2b2857..fdae9e717 100644 --- a/shapepipe/modules/vignetmaker_package/vignetmaker.py +++ b/shapepipe/modules/vignetmaker_package/vignetmaker.py @@ -72,14 +72,14 @@ def process(self, image_path_list, rad, prefix): for _prefix, img in zip(prefix, image_path_list): image_path = img - if self._pos_type == 'PIX': + if self._pos_type == "PIX": pos = self._pos - elif self._pos_type == 'SPHE': + elif self._pos_type == "SPHE": pos = convert_pos(image_path) else: raise ValueError( - 'Coordinates type must be in : PIX (pixel), ' - + 'SPHE (spherical).' + "Coordinates type must be in : PIX (pixel), " + + "SPHE (spherical)." ) vign = self._get_stamp(image_path, pos - 1, rad) @@ -205,19 +205,18 @@ def _get_stamp_me(self, image_dirs, image_pattern): cat = file_io.FITSCatalogue(self._galcat_path, SEx_catalogue=True) cat.open() - all_id = np.copy(cat.get_data()['NUMBER']) - n_epoch = np.copy(cat.get_data()['N_EPOCH']) + all_id = np.copy(cat.get_data()["NUMBER"]) + n_epoch = np.copy(cat.get_data()["N_EPOCH"]) list_ext_name = cat.get_ext_name() hdu_ind = [ - i for i in range(len(list_ext_name)) - if 'EPOCH' in list_ext_name[i] + i for i in range(len(list_ext_name)) if "EPOCH" in list_ext_name[i] ] final_list = [] for hdu_index in hdu_ind: - exp_name = cat.get_data(hdu_index)['EXP_NAME'][0] - ccd_list = list(set(cat.get_data(hdu_index)['CCD_N'])) + exp_name = cat.get_data(hdu_index)["EXP_NAME"][0] + ccd_list = list(set(cat.get_data(hdu_index)["CCD_N"])) array_vign = None array_id = None array_exp_name = None @@ -240,15 +239,17 @@ def _get_stamp_me(self, image_dirs, image_pattern): f"Could not find image {image_name}" ) - ind_obj = np.where(cat.get_data(hdu_index)['CCD_N'] == ccd)[0] + ind_obj = np.where(cat.get_data(hdu_index)["CCD_N"] == ccd)[0] obj_id = all_id[ind_obj] - wcs_file = self._f_wcs_file[exp_name][ccd]['WCS'] - pos = np.array(wcs_file.all_world2pix( - self._pos[:, 1][ind_obj], - self._pos[:, 0][ind_obj], - 1, - )).T + wcs_file = self._f_wcs_file[exp_name][ccd]["WCS"] + pos = np.array( + wcs_file.all_world2pix( + self._pos[:, 1][ind_obj], + self._pos[:, 0][ind_obj], + 1, + ) + ).T pos[:, [0, 1]] = pos[:, [1, 0]] tmp_vign = self._get_stamp(img_path, pos - 1, self._rad) @@ -256,9 +257,7 @@ def _get_stamp_me(self, image_dirs, image_pattern): if array_vign is None: array_vign = np.copy(tmp_vign) else: - array_vign = np.concatenate( - (array_vign, np.copy(tmp_vign)) - ) + array_vign = np.concatenate((array_vign, np.copy(tmp_vign))) if array_id is None: array_id = np.copy(obj_id) @@ -266,7 +265,7 @@ def _get_stamp_me(self, image_dirs, image_pattern): array_id = np.concatenate((array_id, np.copy(obj_id))) exp_name_tmp = np.array( - [exp_name + '-' + str(ccd) for i in range(len(obj_id))] + [exp_name + "-" + str(ccd) for i in range(len(obj_id))] ) if array_exp_name is None: array_exp_name = exp_name_tmp @@ -289,16 +288,16 @@ def _get_stamp_me(self, image_dirs, image_pattern): where_res = np.where(final_list[j][0] == id_tmp)[0] - if (len(where_res) != 0): + if len(where_res) != 0: index = final_list[j][2][where_res[0]] output_dict[id_tmp][index] = {} - output_dict[id_tmp][index]['VIGNET'] = ( - final_list[j][1][where_res[0]] - ) + output_dict[id_tmp][index]["VIGNET"] = final_list[j][1][ + where_res[0] + ] counter += 1 if counter == 0: - output_dict[id_tmp] = 'empty' + output_dict[id_tmp] = "empty" return output_dict @@ -353,8 +352,8 @@ def _save_vignet_me(self, output_dict, prefix): Prefix to use for the output file name """ - output_name = f'{self._output_dir}/{prefix}_vignet{self._image_num}' - output_file = SqliteDict(output_name + '.sqlite') + output_name = f"{self._output_dir}/{prefix}_vignet{self._image_num}" + output_file = SqliteDict(output_name + ".sqlite") for _index in output_dict.keys(): output_file[str(_index)] = output_dict[_index] @@ -382,7 +381,7 @@ def get_original_vignet(galcat_path): file = file_io.FITSCatalogue(galcat_path, SEx_catalogue=True) file.open() - vignet = file.get_data()['VIGNET'] + vignet = file.get_data()["VIGNET"] file.close() @@ -433,7 +432,7 @@ def save_vignet(vignet, sexcat_path, output_dir, prefix, image_num): Image numbering """ - output_name = f'{output_dir}/{prefix}_vignet{image_num}.fits' + output_name = f"{output_dir}/{prefix}_vignet{image_num}.fits" file = file_io.FITSCatalogue( output_name, @@ -441,4 +440,4 @@ def save_vignet(vignet, sexcat_path, output_dir, prefix, image_num): open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite, ) - file.save_as_fits(vignet, names=['VIGNET'], sex_cat_path=sexcat_path) + file.save_as_fits(vignet, names=["VIGNET"], sex_cat_path=sexcat_path) diff --git a/shapepipe/modules/vignetmaker_runner.py b/shapepipe/modules/vignetmaker_runner.py index 9a83f1cd6..55a0eda24 100644 --- a/shapepipe/modules/vignetmaker_runner.py +++ b/shapepipe/modules/vignetmaker_runner.py @@ -13,11 +13,11 @@ @module_runner( - version='1.1', - input_module='sextractor_runner', - file_pattern=['galaxy_selection', 'image'], - file_ext=['.fits', '.fits'], - depends=['numpy', 'astropy', 'sf_tools', 'sqlitedict'], + version="1.1", + input_module="sextractor_runner", + file_pattern=["galaxy_selection", "image"], + file_ext=[".fits", ".fits"], + depends=["numpy", "astropy", "sf_tools", "sqlitedict"], ) def vignetmaker_runner( input_file_list, @@ -33,83 +33,84 @@ def vignetmaker_runner( # Check if masking should be performed # With masking - if config.getboolean(module_config_sec, 'MASKING'): + if config.getboolean(module_config_sec, "MASKING"): # Fetch the mask value - mask_value = config.getfloat(module_config_sec, 'MASK_VALUE') + mask_value = config.getfloat(module_config_sec, "MASK_VALUE") # Make a mask vignet = vm.make_mask(galcat_path=galcat_path, mask_value=mask_value) # Save the vignet vm.save_vignet( vignet=vignet, sexcat_path=galcat_path, - output_dir=run_dirs['output'], - prefix='cat', + output_dir=run_dirs["output"], + prefix="cat", image_num=file_number_string, ) # Without masking else: # Fetch stamp size - stamp_size = config.getint(module_config_sec, 'STAMP_SIZE') - 1 + stamp_size = config.getint(module_config_sec, "STAMP_SIZE") - 1 # Check stamp size if stamp_size % 2 != 0: - raise ValueError('The STAMP_SIZE must be odd') + raise ValueError("The STAMP_SIZE must be odd") # Set radius radius = int(stamp_size / 2) # Fetch position type and values - pos_type = config.get(module_config_sec, 'COORD') - pos_params = config.getlist(module_config_sec, 'POSITION_PARAMS') + pos_type = config.get(module_config_sec, "COORD") + pos_params = config.getlist(module_config_sec, "POSITION_PARAMS") # Fetch vignet run mode - mode = config.get(module_config_sec, 'MODE') + mode = config.get(module_config_sec, "MODE") # Create instance of VignetMaker vm_inst = vm.VignetMaker( galcat_path=galcat_path, pos_type=pos_type, pos_params=pos_params, - output_dir=run_dirs['output'], + output_dir=run_dirs["output"], image_num=file_number_string, ) # Run in CLASSIC mode - if mode == 'CLASSIC': + if mode == "CLASSIC": # Fetch prefix - prefix = config.getlist(module_config_sec, 'PREFIX') + prefix = config.getlist(module_config_sec, "PREFIX") # Check prefix if len(prefix) != len(input_file_list[1:]): raise ValueError( - f'The number of prefixes ({len(prefix)}) has to be ' - + 'equal to the number of input file types ' - + f'({len(input_file_list[1:])}).' + f"The number of prefixes ({len(prefix)}) has to be " + + "equal to the number of input file types " + + f"({len(input_file_list[1:])})." ) # Process inputs vm_inst.process(input_file_list[1:], radius, prefix) # Run in MULTI-EPOCH mode - elif mode == 'MULTI-EPOCH': + elif mode == "MULTI-EPOCH": # Fetch image directory and patterns - modules = config.getlist(module_config_sec, 'ME_IMAGE_DIR') + modules = config.getlist(module_config_sec, "ME_IMAGE_DIR") image_dirs = [] for module in modules: module_name = module.split(":")[-1] if "last" in module: - dirs = [get_last_dir(run_dirs['run_log'], module_name)] + dirs = [get_last_dir(run_dirs["run_log"], module_name)] elif "all" in module: - dirs = get_all_dirs(run_dirs['run_log'], module_name) + dirs = get_all_dirs(run_dirs["run_log"], module_name) else: raise ValueError( "Expected qualifier 'last:' or 'all' before module" - + f" '{module}' in config entry 'ME_IMAGE_DIR'") + + f" '{module}' in config entry 'ME_IMAGE_DIR'" + ) image_dirs.append(dirs) image_pattern = config.getlist( module_config_sec, - 'ME_IMAGE_PATTERN', + "ME_IMAGE_PATTERN", ) # Fetch WCS log path - f_wcs_path = config.getexpanded(module_config_sec, 'ME_LOG_WCS') + f_wcs_path = config.getexpanded(module_config_sec, "ME_LOG_WCS") # Process inputs vm_inst.process_me(image_dirs, image_pattern, f_wcs_path, radius) @@ -117,7 +118,7 @@ def vignetmaker_runner( # Invalid mode else: # Raise error for invalid run mode - raise ValueError(f'Invalid MODE=\'{mode}\'') + raise ValueError(f"Invalid MODE='{mode}'") # No return objects return None, None diff --git a/shapepipe/pipeline/__init__.py b/shapepipe/pipeline/__init__.py index 588c375a5..3966563f6 100644 --- a/shapepipe/pipeline/__init__.py +++ b/shapepipe/pipeline/__init__.py @@ -7,17 +7,17 @@ """ __all__ = [ - 'args', - 'config', - 'dependency_handler', - 'execute', - 'file_handler', - 'file_io', - 'job_handler', - 'mpi_run', - 'run_log', - 'shared', - 'str_handler', - 'timeout', - 'worker_handler', + "args", + "config", + "dependency_handler", + "execute", + "file_handler", + "file_io", + "job_handler", + "mpi_run", + "run_log", + "shared", + "str_handler", + "timeout", + "worker_handler", ] diff --git a/shapepipe/pipeline/args.py b/shapepipe/pipeline/args.py index 818f54163..70cb8c38b 100644 --- a/shapepipe/pipeline/args.py +++ b/shapepipe/pipeline/args.py @@ -42,16 +42,24 @@ def print_message(message): Custom action class object """ + class customAction(ap.Action): - def __init__(self, option_strings, version=None, dest=ap.SUPPRESS, - default=ap.SUPPRESS, help=help): + def __init__( + self, + option_strings, + version=None, + dest=ap.SUPPRESS, + default=ap.SUPPRESS, + help=help, + ): super(customAction, self).__init__( option_strings=option_strings, dest=dest, default=default, nargs=0, - help=help) + help=help, + ) def __call__(self, parser, args, values, option_string=None): print(message) @@ -71,10 +79,10 @@ def module_str(): Formatted string of module names """ - string = '' + string = "" for module in __module_list__: - string += f' - {module}\n' + string += f" - {module}\n" return string @@ -92,46 +100,44 @@ def create_arg_parser(): """ # Create parser parser = ap.ArgumentParser( - add_help=False, description=shapepipe_logo(), + add_help=False, + description=shapepipe_logo(), formatter_class=cutomFormatter, ) - optional = parser.add_argument_group('Optional Arguments') + optional = parser.add_argument_group("Optional Arguments") # Add arguments optional.add_argument( - '-h', - '--help', - action='help', - help='show this help message and exit', + "-h", + "--help", + action="help", + help="show this help message and exit", ) optional.add_argument( - '-v', - '--version', - action='version', - version=f'%(prog)s v{__version__}' + "-v", "--version", action="version", version=f"%(prog)s v{__version__}" ) optional.add_argument( - '-l', - '--list_modules', + "-l", + "--list_modules", action=print_message( - f'ShapePipe modules currently available:\n{module_str()}' + f"ShapePipe modules currently available:\n{module_str()}" ), - help='list modules currently available and exit', + help="list modules currently available and exit", ) optional.add_argument( - '-c', - '--config', - default='config.ini', - help='configuration file name', + "-c", + "--config", + default="config.ini", + help="configuration file name", ) optional.add_argument( - '-e', - '--exclusive', - help='exclusive input file number string', + "-e", + "--exclusive", + help="exclusive input file number string", ) # Return parser return parser.parse_args() diff --git a/shapepipe/pipeline/config.py b/shapepipe/pipeline/config.py index 3db2a7b98..f43bf7345 100644 --- a/shapepipe/pipeline/config.py +++ b/shapepipe/pipeline/config.py @@ -37,7 +37,7 @@ def getexpanded(self, section, option): """ return self._get(section, os.path.expandvars, option) - def getlist(self, section, option, delimiter=','): + def getlist(self, section, option, delimiter=","): """Get List. This method retrieves a list of strings separated by a given @@ -100,7 +100,7 @@ def file_name(self): def file_name(self, value): if not os.path.exists(value): - raise IOError(f'Configuration file {value} does not exist.') + raise IOError(f"Configuration file {value} does not exist.") self._file_name = value @@ -110,14 +110,14 @@ def _set_defaults(self): Set default configuration options. """ - if not self.config.has_option('DEFAULT', 'RUN_NAME'): - self.config.set('DEFAULT', 'RUN_NAME', 'shapepipe_run') + if not self.config.has_option("DEFAULT", "RUN_NAME"): + self.config.set("DEFAULT", "RUN_NAME", "shapepipe_run") - if not self.config.has_option('DEFAULT', 'RUN_DATETIME'): - self.config.set('DEFAULT', 'RUN_DATETIME', 'True') + if not self.config.has_option("DEFAULT", "RUN_DATETIME"): + self.config.set("DEFAULT", "RUN_DATETIME", "True") - if not self.config.has_option('DEFAULT', 'VERBOSE'): - self.config.set('DEFAULT', 'VERBOSE', 'True') + if not self.config.has_option("DEFAULT", "VERBOSE"): + self.config.set("DEFAULT", "VERBOSE", "True") def _set_execution_options(self): """Set Execution Options. @@ -132,11 +132,11 @@ def _set_execution_options(self): For non-existent module runner """ - if not self.config.has_option('EXECUTION', 'MODULE'): - raise RuntimeError('No module(s) specified') + if not self.config.has_option("EXECUTION", "MODULE"): + raise RuntimeError("No module(s) specified") - if not self.config.has_option('EXECUTION', 'MODE'): - self.config.set('EXECUTION', 'MODE', 'smp') + if not self.config.has_option("EXECUTION", "MODE"): + self.config.set("EXECUTION", "MODE", "smp") def _set_file_options(self): """Set File Options. @@ -155,26 +155,26 @@ def _set_file_options(self): For non-existent output directory """ - if not self.config.has_option('FILE', 'LOG_NAME'): - self.config.set('FILE', 'LOG_NAME', 'shapepipe') + if not self.config.has_option("FILE", "LOG_NAME"): + self.config.set("FILE", "LOG_NAME", "shapepipe") - if not self.config.has_option('FILE', 'RUN_LOG_NAME'): - self.config.set('FILE', 'RUN_LOG_NAME', 'shapepipe_runs') + if not self.config.has_option("FILE", "RUN_LOG_NAME"): + self.config.set("FILE", "RUN_LOG_NAME", "shapepipe_runs") - if not self.config.has_option('FILE', 'INPUT_DIR'): - raise RuntimeError('Not input directory specified') + if not self.config.has_option("FILE", "INPUT_DIR"): + raise RuntimeError("Not input directory specified") - if not self.config.has_option('FILE', 'OUTPUT_DIR'): - raise RuntimeError('Not output directory specified') + if not self.config.has_option("FILE", "OUTPUT_DIR"): + raise RuntimeError("Not output directory specified") - elif not os.path.isdir(self.config.getexpanded('FILE', 'OUTPUT_DIR')): + elif not os.path.isdir(self.config.getexpanded("FILE", "OUTPUT_DIR")): raise OSError( f'Directory {self.config.getexpanded("FILE", "OUTPUT_DIR")} ' - + 'not found.' + + "not found." ) - if not self.config.has_option('FILE', 'CORRECT_FILE_PATTERN'): - self.config.set('FILE', 'CORRECT_FILE_PATTERN', 'True') + if not self.config.has_option("FILE", "CORRECT_FILE_PATTERN"): + self.config.set("FILE", "CORRECT_FILE_PATTERN", "True") def _set_worker_options(self): """Set Worker Options. @@ -182,11 +182,11 @@ def _set_worker_options(self): This module checks the worker options in the configuration file. """ - if not self.config.has_section('WORKER'): - self.config.add_section('WORKER') + if not self.config.has_section("WORKER"): + self.config.add_section("WORKER") - if not self.config.has_option('WORKER', 'PROCESS_PRINT_LIMIT'): - self.config.set('WORKER', 'PROCESS_PRINT_LIMIT', '200') + if not self.config.has_option("WORKER", "PROCESS_PRINT_LIMIT"): + self.config.set("WORKER", "PROCESS_PRINT_LIMIT", "200") def get_parser(self): """Get Parser. diff --git a/shapepipe/pipeline/dependency_handler.py b/shapepipe/pipeline/dependency_handler.py index 33b98f6f4..f4779e5ed 100644 --- a/shapepipe/pipeline/dependency_handler.py +++ b/shapepipe/pipeline/dependency_handler.py @@ -31,10 +31,10 @@ def __init__(self, dependencies=[], executables=[]): self.depend = dependencies self.execute = executables - self._greq = '>=' - self._equal = '==' - self._great = '>' - self._less = '<' + self._greq = ">=" + self._equal = "==" + self._great = ">" + self._less = "<" self.dependency_list = [] self.executable_list = list(set(self.execute)) @@ -51,10 +51,10 @@ def depend(self): def depend(self, value): if not isinstance(value, list): - raise TypeError('Input must be list type.') + raise TypeError("Input must be list type.") if not all(isinstance(x, str) for x in value): - raise ValueError('List elements must be strings.') + raise ValueError("List elements must be strings.") self._depend = value @@ -67,10 +67,10 @@ def execute(self): def execute(self, value): if not isinstance(value, list): - raise TypeError('Input must be list type.') + raise TypeError("Input must be list type.") if not all(isinstance(x, str) for x in value): - raise ValueError('List elements must be strings.') + raise ValueError("List elements must be strings.") self._execute = value @@ -160,8 +160,7 @@ def _get_indices(array, value): """ return [ - index for index, element in enumerate(array) - if element == value + index for index, element in enumerate(array) if element == value ] @classmethod @@ -210,7 +209,7 @@ def _check_executable(exe_name): """ if not isinstance(exe_name, str): - raise TypeError('Executable name must be a string.') + raise TypeError("Executable name must be a string.") def is_exe(fpath): return os.path.isfile(fpath) and os.access(fpath, os.X_OK) @@ -218,18 +217,20 @@ def is_exe(fpath): fpath, fname = os.path.split(exe_name) if not fpath: - res = any([ - is_exe(os.path.join(path, exe_name)) - for path in os.environ['PATH'].split(os.pathsep) - ]) + res = any( + [ + is_exe(os.path.join(path, exe_name)) + for path in os.environ["PATH"].split(os.pathsep) + ] + ) else: res = is_exe(exe_name) if not res: raise IOError( - f'{exe_name} does not appear to be a valid executable on ' - + 'this system.' + f"{exe_name} does not appear to be a valid executable on " + + "this system." ) def _split_string(self, string): @@ -249,19 +250,19 @@ def _split_string(self, string): """ if self._greq in string: - val = re.split(f'({self._greq})', string) + val = re.split(f"({self._greq})", string) elif self._equal in string: - val = re.split(f'({self._equal})', string) + val = re.split(f"({self._equal})", string) elif self._great in string: - val = re.split(f'({self._great})', string) + val = re.split(f"({self._great})", string) elif self._less in string: raise ValueError('"<" not permitted in package version string.') else: - val = [string, '', ''] + val = [string, "", ""] return val @@ -271,10 +272,12 @@ def _split_strings(self): This method splits the input dependency modules strings. """ - self._depend_arr = list(map( - list, - zip(*[self._split_string(string) for string in self.depend]) - )) + self._depend_arr = list( + map( + list, + zip(*[self._split_string(string) for string in self.depend]), + ) + ) self._dependency_set = set(self._depend_arr[0]) def _unique_dependencies(self): @@ -290,18 +293,18 @@ def _unique_dependencies(self): if any(self._equal in element for element in subset): subset = self._slice_col_val(subset, 1, self._equal) - if any([ver != '' for ver in subset[2]]): - subset = (self._slice_col_val( + if any([ver != "" for ver in subset[2]]): + subset = self._slice_col_val( subset, 2, - str(max( - [self._convert_to_float(ver) for ver in subset[2]] - )) - )) + str( + max([self._convert_to_float(ver) for ver in subset[2]]) + ), + ) subset = [element[0] for element in self._slice_2d(subset, [0])] - self.dependency_list.append(''.join(subset)) + self.dependency_list.append("".join(subset)) def check_dependencies(self): """Check Dependencies. @@ -322,23 +325,23 @@ def check_dependencies(self): package = importlib.import_module(dependency) except Exception: raise ImportError( - f'Could not import pipeline dependency {dependency}' + f"Could not import pipeline dependency {dependency}" ) - if hasattr(package, '__version__'): + if hasattr(package, "__version__"): version = package.__version__ else: - version = 'N/A' + version = "N/A" - if hasattr(package, '__path__'): + if hasattr(package, "__path__"): path = package.__path__[0] - elif hasattr(package, '__file__'): + elif hasattr(package, "__file__"): path = package.__file__ else: - path = 'N/A' + path = "N/A" dependency_status_list.append( - f' - {package.__name__} {version} {path}' + f" - {package.__name__} {version} {path}" ) return dependency_status_list @@ -361,7 +364,7 @@ def check_executables(self): self._check_executable(executable) exe_path, err = subprocess.Popen( - f'which {executable}', + f"which {executable}", shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, diff --git a/shapepipe/pipeline/execute.py b/shapepipe/pipeline/execute.py index d9c63bcb1..0a69fae7f 100644 --- a/shapepipe/pipeline/execute.py +++ b/shapepipe/pipeline/execute.py @@ -32,7 +32,7 @@ def execute(command_line): """ if not isinstance(command_line, str): - raise TypeError('Command line must be a string.') + raise TypeError("Command line must be a string.") command = command_line.split() check_executable(command[0]) @@ -40,7 +40,7 @@ def execute(command_line): process = sp.Popen(command, stdout=sp.PIPE, stderr=sp.PIPE) stdout, stderr = process.communicate() - return stdout.decode('utf-8'), stderr.decode('utf-8') + return stdout.decode("utf-8"), stderr.decode("utf-8") def check_executable(exe_name): @@ -62,7 +62,7 @@ def check_executable(exe_name): """ if not isinstance(exe_name, str): - raise TypeError('Executable name must be a string.') + raise TypeError("Executable name must be a string.") def is_exe(fpath): return os.path.isfile(fpath) and os.access(fpath, os.X_OK) @@ -70,16 +70,18 @@ def is_exe(fpath): fpath, fname = os.path.split(exe_name) if not fpath: - res = any([ - is_exe(os.path.join(path, exe_name)) - for path in os.environ['PATH'].split(os.pathsep) - ]) + res = any( + [ + is_exe(os.path.join(path, exe_name)) + for path in os.environ["PATH"].split(os.pathsep) + ] + ) else: res = is_exe(exe_name) if not res: raise OSError( - f'{exe_name} does not appear to be a valid executable on this ' - + 'system.' + f"{exe_name} does not appear to be a valid executable on this " + + "system." ) diff --git a/shapepipe/pipeline/file_handler.py b/shapepipe/pipeline/file_handler.py index 03c9c76ab..a37b3ba13 100644 --- a/shapepipe/pipeline/file_handler.py +++ b/shapepipe/pipeline/file_handler.py @@ -44,43 +44,43 @@ def __init__(self, run_name, modules, config, exclusive=None, verbose=True): self._run_name = run_name self._module_list = modules - if self._module_list[-1] == '': - raise ValueError('Invalid module list, check for a trailing comma') + if self._module_list[-1] == "": + raise ValueError("Invalid module list, check for a trailing comma") self._config = config self._exclusive = exclusive self._verbose = verbose self.module_runners = get_module_runners(self._module_list) - self._input_list = config.getlist('FILE', 'INPUT_DIR') - self._output_dir = config.getexpanded('FILE', 'OUTPUT_DIR') - self._log_name = config.get('FILE', 'LOG_NAME') + self._input_list = config.getlist("FILE", "INPUT_DIR") + self._output_dir = config.getexpanded("FILE", "OUTPUT_DIR") + self._log_name = config.get("FILE", "LOG_NAME") self._correct_pattern = config.getboolean( - 'FILE', - 'CORRECT_FILE_PATTERN', + "FILE", + "CORRECT_FILE_PATTERN", ) self._run_log_file = self.setpath( self._output_dir, - config.get('FILE', 'RUN_LOG_NAME'), - '.txt', + config.get("FILE", "RUN_LOG_NAME"), + ".txt", ) self._module_dict = {} - if config.has_option('FILE', 'FILE_PATTERN'): - self._file_pattern = config.getlist('FILE', 'FILE_PATTERN') - if config.has_option('FILE', 'FILE_EXT'): - self._file_ext = config.getlist('FILE', 'FILE_EXT') - if config.has_option('FILE', 'NUMBERING_SCHEME'): - self._numbering_scheme = config.get('FILE', 'NUMBERING_SCHEME') + if config.has_option("FILE", "FILE_PATTERN"): + self._file_pattern = config.getlist("FILE", "FILE_PATTERN") + if config.has_option("FILE", "FILE_EXT"): + self._file_ext = config.getlist("FILE", "FILE_EXT") + if config.has_option("FILE", "NUMBERING_SCHEME"): + self._numbering_scheme = config.get("FILE", "NUMBERING_SCHEME") else: - self._numbering_scheme = r'RE:\_\d+' - if config.has_option('FILE', 'NUMBER_LIST'): - if os.path.isfile(config.get('FILE', 'NUMBER_LIST')): - self._number_list = ( - self.read_number_list(config.get('FILE', 'NUMBER_LIST')) + self._numbering_scheme = r"RE:\_\d+" + if config.has_option("FILE", "NUMBER_LIST"): + if os.path.isfile(config.get("FILE", "NUMBER_LIST")): + self._number_list = self.read_number_list( + config.get("FILE", "NUMBER_LIST") ) else: - self._number_list = config.getlist('FILE', 'NUMBER_LIST') + self._number_list = config.getlist("FILE", "NUMBER_LIST") else: self._number_list = None @@ -141,7 +141,7 @@ def read_number_list(file_name): with open(file_name) as data_file: number_list = data_file.readlines() - return [value.rstrip('\n') for value in number_list] + return [value.rstrip("\n") for value in number_list] @classmethod def check_dir(cls, dir_name, check_exists=False): @@ -161,7 +161,7 @@ def check_dir(cls, dir_name, check_exists=False): """ if check_exists and os.path.isdir(dir_name): - raise OSError(f'Directory {dir_name} already exists.') + raise OSError(f"Directory {dir_name} already exists.") return cls.strip_slash(dir_name) @@ -195,7 +195,7 @@ def mkdir(cls, dir_name): mkdir(dir_name) @staticmethod - def setpath(path, name, ext=''): + def setpath(path, name, ext=""): """Set Path Name. This method appends the file/directory name to the input path. @@ -215,7 +215,7 @@ def setpath(path, name, ext=''): Formated path """ - return f'{path}/{name}{ext}' + return f"{path}/{name}{ext}" @staticmethod def strip_slash(path): @@ -234,7 +234,7 @@ def strip_slash(path): Updated path """ - return path.rstrip('/') + return path.rstrip("/") @classmethod def strip_slash_list(cls, path_list): @@ -292,8 +292,8 @@ def _get_module_run_name(dir): Module run name, module name, search string """ - string, module_run = dir.split(':') - module = module_run.split('/')[0] + string, module_run = dir.split(":") + module = module_run.split("/")[0] return module_run.lower(), module.lower(), string @@ -321,30 +321,32 @@ def _check_input_dir_list(self, dir_list): if os.path.isdir(dir): input_dir.append(dir) - elif 'last' in dir.lower(): + elif "last" in dir.lower(): module_run, module, _ = self._get_module_run_name(dir) runs = get_list(self._run_log_file) last_module = get_last(runs, module) input_dir.append( self.setpath( self.setpath(last_module, module_run), - 'output', + "output", ) ) - elif 'all' in dir.lower(): + elif "all" in dir.lower(): module_run, module, _ = self._get_module_run_name(dir) runs = get_list(self._run_log_file) all_runs = get_all(runs, module) - input_dir.extend([ - self.setpath( - self.setpath(run.split(' ')[0], module_run), - 'output' - ) - for run in all_runs - ]) + input_dir.extend( + [ + self.setpath( + self.setpath(run.split(" ")[0], module_run), + "output", + ) + for run in all_runs + ] + ) - elif ':' in dir.lower(): + elif ":" in dir.lower(): module_run, _, string = self._get_module_run_name(dir) input_dir.append( self.setpath( @@ -352,15 +354,15 @@ def _check_input_dir_list(self, dir_list): self._run_log.get_run(string), module_run, ), - 'output', + "output", ) ) else: raise ValueError( - f'Invalid INPUT_DIR ({dir}). Make sure the paths ' - + 'provided are valid directories or use the ' - + 'allowed special keys.' + f"Invalid INPUT_DIR ({dir}). Make sure the paths " + + "provided are valid directories or use the " + + "allowed special keys." ) return input_dir @@ -380,8 +382,8 @@ def create_global_run_dirs(self): """ self.run_dir = self.setpath(self._output_dir, self._run_name) - self._log_dir = self.setpath(self.run_dir, 'logs') - self._tmp_dir = self.setpath(self.run_dir, 'tmp') + self._log_dir = self.setpath(self.run_dir, "logs") + self._tmp_dir = self.setpath(self.run_dir, "tmp") self.log_name = self.setpath(self._log_dir, self._log_name) self._run_log = RunLog( self._run_log_file, @@ -406,7 +408,7 @@ def _copy_config_to_log(self): copyfile( self._config.file_name, - f'{self._log_dir}/{config_file_name}', + f"{self._log_dir}/{config_file_name}", ) def get_module_current_run(self, module): @@ -425,7 +427,7 @@ def get_module_current_run(self, module): Module run count """ - return str(self._module_dict[module]['run_count']) + return str(self._module_dict[module]["run_count"]) def get_module_run_prop(self, module, property): """Get Module Run Property. @@ -450,9 +452,9 @@ def get_module_run_prop(self, module, property): For invalid module dictionary key """ - run_name = self._module_dict[module]['latest'] + run_name = self._module_dict[module]["latest"] - if property == 'run_name': + if property == "run_name": value = run_name elif property in self._module_dict[module].keys(): value = self._module_dict[module][property] @@ -460,7 +462,7 @@ def get_module_run_prop(self, module, property): value = self._module_dict[module][run_name][property] else: raise ValueError( - f'Property {property} not found for module {module}.' + f"Property {property} not found for module {module}." ) return value @@ -481,7 +483,7 @@ def get_module_config_sec(self, module): Configuration file section name """ - return self._module_dict[module]['latest'].upper() + return self._module_dict[module]["latest"].upper() def get_add_module_property(self, run_name, property): """Get Additional Module Properties. @@ -501,14 +503,14 @@ def get_add_module_property(self, run_name, property): Additional module property values """ - if (self._config.has_option( + if self._config.has_option( run_name.upper(), - f'ADD_{property.upper()}', - )): + f"ADD_{property.upper()}", + ): return self._config.getlist( run_name.upper(), - f'ADD_{property.upper()}', + f"ADD_{property.upper()}", ) def _set_module_property(self, module, run_name, property, get_type): @@ -544,22 +546,22 @@ def _set_module_property(self, module, run_name, property, get_type): """ # 1) Check for parameter value in module section of config file if self._config.has_option(run_name.upper(), property.upper()): - if get_type == 'str': + if get_type == "str": prop_val = self._config.get( run_name.upper(), property.upper(), ) - elif get_type == 'list': + elif get_type == "list": prop_val = self._config.getlist( run_name.upper(), property.upper(), ) else: - raise ValueError(f'{get_type} is not a valid get type') + raise ValueError(f"{get_type} is not a valid get type") # 2) Check for default parameter values in file handler - elif hasattr(self, f'_{property}'): - prop_val = getattr(self, f'_{property}') + elif hasattr(self, f"_{property}"): + prop_val = getattr(self, f"_{property}") # 3) Check for default parameter values in module runner elif hasattr(self.module_runners[module], property): @@ -567,13 +569,12 @@ def _set_module_property(self, module, run_name, property, get_type): else: raise ValueError( - f'No value for {property} in {module} could be found.' + f"No value for {property} in {module} could be found." ) # Look for additional module properties for list objects - if ( - isinstance(prop_val, list) - and self.get_add_module_property(run_name, property) + if isinstance(prop_val, list) and self.get_add_module_property( + run_name, property ): prop_val += self.get_add_module_property(run_name, property) @@ -591,37 +592,35 @@ def _set_module_properties(self, module, run_name): """ module_props = { - 'numbering_scheme': 'str', - 'run_method': 'str', - 'input_module': 'list', - 'file_pattern': 'list', - 'file_ext': 'list', - 'depends': 'list', - 'executes': 'list' + "numbering_scheme": "str", + "run_method": "str", + "input_module": "list", + "file_pattern": "list", + "file_ext": "list", + "depends": "list", + "executes": "list", } for property, get_type in module_props.items(): self._set_module_property(module, run_name, property, get_type) # Make sure the number of patterns and extensions match - if ( - (len(self._module_dict[module][run_name]['file_ext']) == 1) - and (len(self._module_dict[module][run_name]['file_pattern']) > 1) + if (len(self._module_dict[module][run_name]["file_ext"]) == 1) and ( + len(self._module_dict[module][run_name]["file_pattern"]) > 1 ): - self._module_dict[module][run_name]['file_ext'] = [ - self._module_dict[module][run_name]['file_ext'][0] - for i in self._module_dict[module][run_name]['file_pattern'] + self._module_dict[module][run_name]["file_ext"] = [ + self._module_dict[module][run_name]["file_ext"][0] + for i in self._module_dict[module][run_name]["file_pattern"] ] - if ( - len(self._module_dict[module][run_name]['file_ext']) - != len(self._module_dict[module][run_name]['file_pattern']) + if len(self._module_dict[module][run_name]["file_ext"]) != len( + self._module_dict[module][run_name]["file_pattern"] ): - n_fext = len(self._module_dict[module][run_name]['file_ext']) - n_fpat = len(self._module_dict[module][run_name]['file_pattern']) + n_fext = len(self._module_dict[module][run_name]["file_ext"]) + n_fpat = len(self._module_dict[module][run_name]["file_pattern"]) raise ValueError( - f'The number of file_ext values ({n_fext}) does not match the ' - + f'number of file_pattern values ({n_fpat}).' + f"The number of file_ext values ({n_fext}) does not match the " + + f"number of file_pattern values ({n_fpat})." ) def _create_module_run_dirs(self, module, run_name): @@ -635,34 +634,30 @@ def _create_module_run_dirs(self, module, run_name): Module name """ - self._module_dict[module][run_name]['run_dir'] = ( - self.setpath(self._run_dir, run_name) + self._module_dict[module][run_name]["run_dir"] = self.setpath( + self._run_dir, run_name ) - self._module_dict[module][run_name]['log_dir'] = ( - self.setpath( - self._module_dict[module][run_name]['run_dir'], - 'logs', - ) + self._module_dict[module][run_name]["log_dir"] = self.setpath( + self._module_dict[module][run_name]["run_dir"], + "logs", ) - self._module_dict[module][run_name]['output_dir'] = ( - self.setpath( - self._module_dict[module][run_name]['run_dir'], - 'output', - ) + self._module_dict[module][run_name]["output_dir"] = self.setpath( + self._module_dict[module][run_name]["run_dir"], + "output", ) - self.mkdir(self._module_dict[module][run_name]['run_dir']) - self.mkdir(self._module_dict[module][run_name]['log_dir']) - self.mkdir(self._module_dict[module][run_name]['output_dir']) + self.mkdir(self._module_dict[module][run_name]["run_dir"]) + self.mkdir(self._module_dict[module][run_name]["log_dir"]) + self.mkdir(self._module_dict[module][run_name]["output_dir"]) # Set current output directory to module output directory - self.output_dir = self._module_dict[module][run_name]['output_dir'] + self.output_dir = self._module_dict[module][run_name]["output_dir"] self.module_run_dirs = { - 'run': self.run_dir, - 'log': self._log_dir, - 'tmp': self._tmp_dir, - 'output': self.output_dir, - 'run_log': self._run_log_file + "run": self.run_dir, + "log": self._log_dir, + "tmp": self._tmp_dir, + "output": self.output_dir, + "run_log": self._run_log_file, } def _set_module_input_dir(self, module, run_name): @@ -693,88 +688,82 @@ def _set_module_input_dir(self, module, run_name): # run in the pipeline if ( isinstance( - self._module_dict[module][run_name]['input_module'], + self._module_dict[module][run_name]["input_module"], type(None), ) or len(self._module_dict) == 1 ): # If so, use the input directory/ies set in the [FILE] section input_dir = self._input_dir - dir_set_by = '[FILE]' + dir_set_by = "[FILE]" # Check if input directory/ies has/have been set in the module config # section - if self._config.has_option(run_name.upper(), 'INPUT_DIR'): + if self._config.has_option(run_name.upper(), "INPUT_DIR"): # If so set this/these as the input directory/ies, note that this # overrides the value set in the [FILE] section input_dir = self._check_input_dir_list( - self._config.getlist(run_name.upper(), 'INPUT_DIR') + self._config.getlist(run_name.upper(), "INPUT_DIR") ) - dir_set_by = f'[{run_name.upper()}]' + dir_set_by = f"[{run_name.upper()}]" # Check if input directory/ies has/have has not been set and if input # modules have been defined for the current module - if ( - not input_dir - and isinstance( - self._module_dict[module][run_name]['input_module'], - list - ) + if not input_dir and isinstance( + self._module_dict[module][run_name]["input_module"], list ): - dir_set_by = f'{module}.py' + dir_set_by = f"{module}.py" # If so, loop through all the input modules defined for the current # module - for input_module in ( - self._module_dict[module][run_name]['input_module'] - ): + for input_module in self._module_dict[module][run_name][ + "input_module" + ]: # Get the input module name and run - input_module, in_mod_run = ( - shared.split_module_run(input_module) - ) + input_module, in_mod_run = shared.split_module_run(input_module) # Check if the input module was part of the current pipeline if input_module in self._module_dict: # If so, check if the input module was a single run if in_mod_run == input_module: # If so, Set the input module run to the latest run - in_mod_run = self._module_dict[input_module]['latest'] + in_mod_run = self._module_dict[input_module]["latest"] # Add the output directory of the input module to # the list of input directories for the current module input_dir.append( self._module_dict[input_module][in_mod_run][ - 'output_dir' + "output_dir" ] ) else: # If not, add the last run of the input module to the # list of input directories - input_dir.append(f'{input_module}:last') + input_dir.append(f"{input_module}:last") # Check if input directory/ies has/have been added in the module config # section - if self.get_add_module_property(run_name, 'input_dir'): + if self.get_add_module_property(run_name, "input_dir"): # If so add this/these to the input directory/ies - input_dir += self.get_add_module_property(run_name, 'input_dir') - if not dir_set_by == f'[{module}]': - dir_set_by = f'{dir_set_by} and [{run_name.upper()}]' + input_dir += self.get_add_module_property(run_name, "input_dir") + if not dir_set_by == f"[{module}]": + dir_set_by = f"{dir_set_by} and [{run_name.upper()}]" # Check if no input directory has been set if not input_dir: # If so, raise an error raise RuntimeError( - 'Could not find appropriate input directory ' - + f'for module {run_name}.' + "Could not find appropriate input directory " + + f"for module {run_name}." ) # Add the input directories for the current module to the module # dictionary - self._module_dict[module][run_name]['input_dir'] = ( - self.check_dirs(input_dir) + self._module_dict[module][run_name]["input_dir"] = self.check_dirs( + input_dir ) - self._module_dict[module][run_name]['dir_set_by'] = dir_set_by + self._module_dict[module][run_name]["dir_set_by"] = dir_set_by # Log the input directories and how they were set - module_input_dir = f' -- Input directories: {input_dir}' - module_dir_set_by = f' -- Inputs set by: {dir_set_by}' + module_input_dir = f" -- Input directories: {input_dir}" + module_dir_set_by = f" -- Inputs set by: {dir_set_by}" self.log.info(module_input_dir) self.log.info(module_dir_set_by) @@ -806,18 +795,18 @@ def _generate_re_pattern(match_pattern): """ if not isinstance(match_pattern, str): - TypeError('Match pattern must be a string.') + TypeError("Match pattern must be a string.") chars = [char for char in match_pattern if not char.isalnum()] - split_pattern = '|'.join(chars).replace('.', r'\.') - chars = [f'\\{char}' for char in chars] + [''] + split_pattern = "|".join(chars).replace(".", r"\.") + chars = [f"\\{char}" for char in chars] + [""] num_length = [ - f'\\d{{{len(digits)}}}' + f"\\d{{{len(digits)}}}" for digits in re.split(split_pattern, match_pattern) ] - re_pattern = r''.join( + re_pattern = r"".join( [a for b in zip(num_length, chars) for a in b] - ).replace('{1}', '+') + ).replace("{1}", "+") return re.compile(re_pattern) @@ -841,8 +830,9 @@ def _strip_dir_from_file(file_name, dir_list): """ return [ - file_name.replace(_dir + '/', '') - for _dir in dir_list if _dir in file_name + file_name.replace(_dir + "/", "") + for _dir in dir_list + if _dir in file_name ][0] @classmethod @@ -869,13 +859,13 @@ def _get_re(cls, num_scheme): """ # Raise an error if num_scheme is None, # but not if num_scheme=='' - if not num_scheme and num_scheme != '': + if not num_scheme and num_scheme != "": - raise ValueError('No numbering scheme adapted') + raise ValueError("No numbering scheme adapted") - elif num_scheme.startswith('RE:'): + elif num_scheme.startswith("RE:"): - re_pattern = num_scheme.replace('RE:', '') + re_pattern = num_scheme.replace("RE:", "") else: @@ -884,12 +874,7 @@ def _get_re(cls, num_scheme): return re_pattern def _save_num_patterns( - self, - dir_list, - re_pattern, - pattern, - ext, - output_file + self, dir_list, re_pattern, pattern, ext, output_file ): """Save Number Patterns. @@ -928,11 +913,11 @@ def _save_num_patterns( if not true_file_list: raise RuntimeError( f'No files found matching "{pattern}" and "{ext}" in the ' - + f'directories {dir_list}.' + + f"directories {dir_list}." ) # Correct the extension if necessary - new_ext = '.' + ext if not ext.startswith('.') else ext + new_ext = "." + ext if not ext.startswith(".") else ext if self._verbose and new_ext != ext: print(f'Updating file extension from "{ext}" to "{new_ext}".') @@ -960,7 +945,7 @@ def _save_num_patterns( new_pattern = striped for substring in (new_ext, file_name): - new_pattern = new_pattern.replace(substring, '') + new_pattern = new_pattern.replace(substring, "") if new_pattern != pattern: print( @@ -979,13 +964,13 @@ def _save_num_patterns( ) elem = shared.check_duplicate(final_file_list) - if elem != '': + if elem != "": raise RuntimeError( - 'Input file list contains at least one duplicate element, ' - + f'\'{elem}\' that matches ' - + 'file pattern and numbering scheme, leading to identical ' - + 'input files. Make sure that the correct input ' - + 'directory is used.' + "Input file list contains at least one duplicate element, " + + f"'{elem}' that matches " + + "file pattern and numbering scheme, leading to identical " + + "input files. Make sure that the correct input " + + "directory is used." ) # Save file list @@ -1009,14 +994,13 @@ def _save_match_patterns(output_file, mmap_list): List of memory maps """ - num_pattern_list = [np.load(mmap, mmap_mode='r') for mmap in mmap_list] + num_pattern_list = [np.load(mmap, mmap_mode="r") for mmap in mmap_list] np.save( output_file, reduce( - partial(np.intersect1d, assume_unique=True), - num_pattern_list - ) + partial(np.intersect1d, assume_unique=True), num_pattern_list + ), ) del num_pattern_list @@ -1045,7 +1029,7 @@ def _get_file_name(path, pattern, number, ext): File name """ - return f'{path}/{pattern}{number}{ext}' + return f"{path}/{pattern}{number}{ext}" @staticmethod def _remove_mmaps(mmap_list): @@ -1099,7 +1083,7 @@ def _format_process_list( pattern_list, ext_list, path_list = list(zip(*patterns)) if isinstance(self._number_list, type(None)): - number_list = np.load(memory_map, mmap_mode='r') + number_list = np.load(memory_map, mmap_mode="r") else: number_list = self._number_list @@ -1118,21 +1102,25 @@ def _format_process_list( id_to_test = f"-{self._exclusive.replace('.', '-')}" if number == id_to_test: if self._verbose: - print(f"-- Using exclusive number {self._exclusive} ({id_to_test})") + print( + f"-- Using exclusive number {self._exclusive} ({id_to_test})" + ) else: if self._verbose: - #print(f"Skipping {number}, not equal to {self._exclusive} ({id_to_test})") + # print(f"Skipping {number}, not equal to {self._exclusive} ({id_to_test})") pass continue - if run_method == 'serial': + if run_method == "serial": process_items = [] else: process_items = [number] - process_items.extend([ - self._get_file_name(path, fp, number, ext) - for path, fp, ext in zip(path_list, pattern_list, ext_list) - ]) + process_items.extend( + [ + self._get_file_name(path, fp, number, ext) + for path, fp, ext in zip(path_list, pattern_list, ext_list) + ] + ) process_list.append(process_items) if len(process_list) == 0: @@ -1169,24 +1157,19 @@ def _save_process_list( """ np_mmap_list = [ - self.setpath(self._tmp_dir, f'nums_{pattern}_{ext}.npy') + self.setpath(self._tmp_dir, f"nums_{pattern}_{ext}.npy") for pattern, ext in zip(pattern_list, ext_list) ] - match_mmap = self.setpath(self._tmp_dir, 'matching_num_patterns.npy') - self.process_mmap = self.setpath(self._tmp_dir, 'process_list.npy') + match_mmap = self.setpath(self._tmp_dir, "matching_num_patterns.npy") + self.process_mmap = self.setpath(self._tmp_dir, "process_list.npy") re_pattern = self._get_re(num_scheme) temp = [ - self._save_num_patterns( - dir_list, - re_pattern, - pattern, - ext, - np_mmap + self._save_num_patterns(dir_list, re_pattern, pattern, ext, np_mmap) + for pattern, ext, np_mmap in zip( + pattern_list, ext_list, np_mmap_list ) - for pattern, ext, np_mmap in - zip(pattern_list, ext_list, np_mmap_list) ] self._save_match_patterns(match_mmap, np_mmap_list) @@ -1202,7 +1185,7 @@ def _save_process_list( np.save(self.process_mmap, np.array(process_list)) del process_list - self.process_list = np.load(self.process_mmap, mmap_mode='r') + self.process_list = np.load(self.process_mmap, mmap_mode="r") self.missed = [] @@ -1227,11 +1210,11 @@ def _get_module_input_files(self, module, run_name): Module name """ - dir_list = self._module_dict[module][run_name]['input_dir'] - pattern_list = self._module_dict[module][run_name]['file_pattern'] - ext_list = self._module_dict[module][run_name]['file_ext'] - num_scheme = self._module_dict[module][run_name]['numbering_scheme'] - run_method = self._module_dict[module][run_name]['run_method'] + dir_list = self._module_dict[module][run_name]["input_dir"] + pattern_list = self._module_dict[module][run_name]["file_pattern"] + ext_list = self._module_dict[module][run_name]["file_ext"] + num_scheme = self._module_dict[module][run_name]["numbering_scheme"] + run_method = self._module_dict[module][run_name]["run_method"] self._save_process_list( dir_list, @@ -1255,19 +1238,19 @@ def set_up_module(self, module): multi_call = self._module_list.count(module) > 1 if module in self._module_dict.keys(): - self._module_dict[module]['run_count'] += 1 + self._module_dict[module]["run_count"] += 1 else: self._module_dict[module] = {} - self._module_dict[module]['run_count'] = 1 + self._module_dict[module]["run_count"] = 1 if multi_call: - call_num = self._module_dict[module]['run_count'] - run_name = f'{module}_run_{call_num}' + call_num = self._module_dict[module]["run_count"] + run_name = f"{module}_run_{call_num}" else: run_name = module # Log run count - module_prop_text = ' - Module properties' + module_prop_text = " - Module properties" module_run_num = f' -- Run: {self._module_dict[module]["run_count"]}' self.log.info(module_prop_text) @@ -1277,7 +1260,7 @@ def set_up_module(self, module): print(module_prop_text) print(module_run_num) - self._module_dict[module]['latest'] = run_name + self._module_dict[module]["latest"] = run_name self._module_dict[module][run_name] = {} self._set_module_properties(module, run_name) @@ -1303,7 +1286,7 @@ def get_worker_log_name(self, module, file_number_string): Worker log file name """ - run_name = self._module_dict[module]['latest'] - log_dir = self._module_dict[module][run_name]['log_dir'] + run_name = self._module_dict[module]["latest"] + log_dir = self._module_dict[module][run_name]["log_dir"] - return f'{log_dir}/process{file_number_string}' + return f"{log_dir}/process{file_number_string}" diff --git a/shapepipe/pipeline/file_io.py b/shapepipe/pipeline/file_io.py index 2aa87959f..ffe8bed82 100644 --- a/shapepipe/pipeline/file_io.py +++ b/shapepipe/pipeline/file_io.py @@ -87,7 +87,7 @@ def get_nb_rows(self): Number of rows """ - raise BaseCatalogue.FeatureNotImplemented('get_nb_rows()') + raise BaseCatalogue.FeatureNotImplemented("get_nb_rows()") def get_nb_cols(self): """Get Number of Columns. @@ -111,7 +111,7 @@ def get_col_names(self): list list of column names """ - raise BaseCatalogue.FeatureNotImplemented('get_col_names()') + raise BaseCatalogue.FeatureNotImplemented("get_col_names()") def get_col_formats(self): """Get Column Formats. @@ -119,7 +119,7 @@ def get_col_formats(self): Get the list of column formats in the order of columns """ - raise BaseCatalogue.FeatureNotImplemented('get_col_names()') + raise BaseCatalogue.FeatureNotImplemented("get_col_names()") def add_col( self, @@ -144,7 +144,7 @@ def add_col( Column data as a numpy array """ - raise BaseCatalogue.FeatureNotImplemented('add_col()') + raise BaseCatalogue.FeatureNotImplemented("add_col()") def _file_exists(self, filepath): """File Exists. @@ -174,9 +174,9 @@ class InputFormat: class OpenMode: """Supported input catalogue open modes.""" - ReadOnly = 'readonly' - ReadWrite = 'update' - Append = 'append' + ReadOnly = "readonly" + ReadWrite = "update" + Append = "append" class Column(object): """Column. @@ -194,7 +194,7 @@ def name(self): Get the name of the column """ - raise BaseCatalogue.FeatureNotImplemented('column.name') + raise BaseCatalogue.FeatureNotImplemented("column.name") @property def format(self): @@ -203,7 +203,7 @@ def format(self): Get the format of the column """ - raise BaseCatalogue.FeatureNotImplemented('column.format') + raise BaseCatalogue.FeatureNotImplemented("column.format") @property def data(self): @@ -212,7 +212,7 @@ def data(self): Get the data associated with the column """ - raise BaseCatalogue.FeatureNotImplemented('column.data') + raise BaseCatalogue.FeatureNotImplemented("column.data") def get_nb_rows(self): """Get Number of Rows. @@ -220,7 +220,7 @@ def get_nb_rows(self): Retrieve the number of rows of the column. """ - raise BaseCatalogue.FeatureNotImplemented('get_nb_rows()') + raise BaseCatalogue.FeatureNotImplemented("get_nb_rows()") def get_info(self): """Get Information. @@ -228,7 +228,7 @@ def get_info(self): Retrieve information about the column. """ - raise BaseCatalogue.FeatureNotImplemented('get_info()') + raise BaseCatalogue.FeatureNotImplemented("get_info()") def get_type(self): """Get Type. @@ -236,7 +236,7 @@ def get_type(self): Get the data type of the column """ - raise BaseCatalogue.FeatureNotImplemented('get_type()') + raise BaseCatalogue.FeatureNotImplemented("get_type()") class FeatureNotImplemented(NotImplementedError): """Feature Not Implemented. @@ -253,8 +253,8 @@ def __init__(self, msg): def __str__(self): return ( - f'File IO *** ERROR ***: Feature: {self._msg} is not ' - + 'implemented in this class' + f"File IO *** ERROR ***: Feature: {self._msg} is not " + + "implemented in this class" ) class catalogueNotOpen(Exception): @@ -274,8 +274,8 @@ def __init__(self, filepath): def __str__(self): return ( - f'File IO *** ERROR ***: catalogue: {self._filepath} ' - + 'is not open' + f"File IO *** ERROR ***: catalogue: {self._filepath} " + + "is not open" ) class DataNotFound(Exception): @@ -298,8 +298,8 @@ def __init__(self, filepath, hdu): def __str__(self): return ( - f'File IO *** ERROR ***: File \'{self._filepath}\', ' - + f'hdu={self._hdu}: data not found' + f"File IO *** ERROR ***: File '{self._filepath}', " + + f"hdu={self._hdu}: data not found" ) class catalogueFileNotFound(Exception): @@ -319,7 +319,7 @@ def __init__(self, filepath): def __str__(self): """Set string representation of the exception object.""" - return f'File IO *** ERROR ***: file {self._filepath} no found' + return f"File IO *** ERROR ***: file {self._filepath} no found" class ColumnNotFound(Exception): """Column Not Found. @@ -338,7 +338,7 @@ def __init__(self, col_name): def __str__(self): """Set string representation of the exception object.""" - return f'File IO *** ERROR ***: column {self._col_name} no found' + return f"File IO *** ERROR ***: column {self._col_name} no found" class catalogueNotCreated(Exception): """Catalogue Not Created. @@ -357,8 +357,8 @@ def __init__(self, filepath): def __str__(self): return ( - f'File IO *** ERROR ***: catalogue: {self._filepath} could ' - + 'not be created' + f"File IO *** ERROR ***: catalogue: {self._filepath} could " + + "not be created" ) class OpenModeNotSupported(Exception): @@ -381,8 +381,8 @@ def __init__(self, filepath, open_mode): def __str__(self): return ( - f'File IO *** ERROR ***: catalogue: {self._filepath} ' - + 'Open Mode {self._open_mode} not supported' + f"File IO *** ERROR ***: catalogue: {self._filepath} " + + "Open Mode {self._open_mode} not supported" ) class OpenModeConflict(Exception): @@ -405,8 +405,8 @@ def __init__(self, open_mode, open_mode_needed): def __str__(self): return ( - 'File IO *** ERROR ***: catalogue has to be open as : ' - + f'{self._open_mode_needed} , Mode used : {self._open_mode}' + "File IO *** ERROR ***: catalogue has to be open as : " + + f"{self._open_mode_needed} , Mode used : {self._open_mode}" ) @@ -464,9 +464,9 @@ def __init__( def __str__(self): if self._cat_data is not None: - info = f'{self.get_info()}' + info = f"{self.get_info()}" else: - info = 'No information' + info = "No information" return info @property @@ -560,8 +560,8 @@ def create(self, ext_name=None, s_hdu=True, sex_cat_path=None): raise BaseCatalogue.catalogueFileNotFound(sex_cat_path) else: raise ValueError( - 'sex_cat_path needs to be provided to create a ' - + 'SEXtractor catalogue' + "sex_cat_path needs to be provided to create a " + + "SEXtractor catalogue" ) elif s_hdu: secondary_hdu = fits.BinTableHDU( @@ -642,9 +642,9 @@ def apply_mask( if fits_file._cat_data is None: raise BaseCatalogue.catalogueNotOpen(fits_file.fullpath) if mask is None: - raise ValueError('Mask not provided') + raise ValueError("Mask not provided") if type(mask) is not np.ndarray: - raise TypeError('Mask need to be a numpy.ndarray') + raise TypeError("Mask need to be a numpy.ndarray") if hdu_no is None: hdu_no = fits_file.hdu_no @@ -667,7 +667,7 @@ def apply_mask( ) ) else: - raise TypeError('Mask type must be of type int or bool') + raise TypeError("Mask type must be of type int or bool") def save_as_fits( self, @@ -721,7 +721,7 @@ def save_as_fits( ) if data is None: - raise ValueError('Data not provided') + raise ValueError("Data not provided") if not image: if type(data) is dict: @@ -761,7 +761,7 @@ def save_as_fits( names = data.dtype.names it = names else: - raise ValueError('Names not provided') + raise ValueError("Names not provided") else: it = range(len(names)) self._save_to_fits( @@ -775,7 +775,7 @@ def save_as_fits( elif type(data) is list: if names is None: - raise ValueError('Names not provided') + raise ValueError("Names not provided") it = range(len(names)) data = np.asarray(data) self._save_to_fits( @@ -789,7 +789,7 @@ def save_as_fits( elif type(data) is Table: if names is None: - raise ValueError('Names not provided') + raise ValueError("Names not provided") it = names self._save_to_fits( data, @@ -808,7 +808,7 @@ def save_as_fits( overwrite=overwrite, ) else: - raise TypeError('Data need to be a numpy.ndarray') + raise TypeError("Data need to be a numpy.ndarray") def create_from_numpy( self, @@ -851,7 +851,7 @@ def create_from_numpy( fits_header = None if header is not None: fits_header = fits.Header() - for (k, v) in header.items(): + for k, v in header.items(): fits_header[k] = v primary_hdu = fits.PrimaryHDU() @@ -1181,16 +1181,16 @@ def get_header_value(self, request, hdu_no=None): """ if request is None: - raise ValueError('request not provided') + raise ValueError("request not provided") if type(request) is not str: - raise TypeError('request has to be a string') + raise TypeError("request has to be a string") if hdu_no is None: hdu_no = self._hdu_no header = self.get_header(hdu_no=hdu_no) if header is None: - raise ValueError(f'Empty header in the hdu : {hdu_no}') + raise ValueError(f"Empty header in the hdu : {hdu_no}") return interpreter(string=request, catalogue=header).result @@ -1225,7 +1225,7 @@ def add_header_card(self, key, value=None, comment=None, hdu_no=None): card = [] if key is None: - raise ValueError('key not provided') + raise ValueError("key not provided") else: card.append(key) @@ -1233,7 +1233,7 @@ def add_header_card(self, key, value=None, comment=None, hdu_no=None): card.append(value) else: if comment is not None: - card.append('') + card.append("") if comment is not None: card.append(comment) @@ -1308,12 +1308,12 @@ def get_col_comments(self, hdu_no=None): if hdu_no is None: hdu_no = self.hdu_no hdr_col_types = [ - tt for tt in self._cat_data[hdu_no].header.keys() - if 'TTYPE' in tt + tt + for tt in self._cat_data[hdu_no].header.keys() + if "TTYPE" in tt ] return [ - self._cat_data[hdu_no].header.comments[c] - for c in hdr_col_types + self._cat_data[hdu_no].header.comments[c] for c in hdr_col_types ] else: raise BaseCatalogue.catalogueNotOpen(self.fullpath) @@ -1387,7 +1387,7 @@ def add_col( ) if type(col_data) != np.ndarray: - TypeError('col_data must be a numpy.ndarray') + TypeError("col_data must be a numpy.ndarray") if hdu_no is None: hdu_no = self.hdu_no @@ -1413,31 +1413,43 @@ def add_col( if len(data_shape) != 0: for k in data_shape: mem_size *= k - data_format = f'{mem_size}{data_type}' - new_col = fits.ColDefs([fits.Column( - name=col_name, - format=data_format, - array=col_data, - dim=dim, - )]) + data_format = f"{mem_size}{data_type}" + new_col = fits.ColDefs( + [ + fits.Column( + name=col_name, + format=data_format, + array=col_data, + dim=dim, + ) + ] + ) col_list += new_col - elif data_type == 'A': + elif data_type == "A": mem_size *= len(max(col_data, key=len)) - data_format = f'{mem_size}{data_type}' - new_col = fits.ColDefs([fits.Column( - name=col_name, - format=data_format, - array=col_data, - dim=str((mem_size,)), - )]) + data_format = f"{mem_size}{data_type}" + new_col = fits.ColDefs( + [ + fits.Column( + name=col_name, + format=data_format, + array=col_data, + dim=str((mem_size,)), + ) + ] + ) col_list += new_col else: - data_format = f'{mem_size}{data_type}' - new_col = fits.ColDefs([fits.Column( - name=col_name, - format=data_format, - array=col_data, - )]) + data_format = f"{mem_size}{data_type}" + new_col = fits.ColDefs( + [ + fits.Column( + name=col_name, + format=data_format, + array=col_data, + ) + ] + ) col_list += new_col new_fits.append(fits.BinTableHDU.from_columns(col_list, name=ext_name)) @@ -1466,7 +1478,7 @@ def remove_col(self, col_index): Index of the column to delete """ - raise BaseCatalogue.FeatureNotImplemented('remove_col()') + raise BaseCatalogue.FeatureNotImplemented("remove_col()") def remove_named_col(self, col_name): """Remove Named Column. @@ -1511,11 +1523,15 @@ def _append_col(self, column, hdu_no=None): orig_table = fits.open(self.fullpath)[hdu_no].data orig_cols = orig_table.columns - new_col = fits.ColDefs([fits.Column( - name=column.name, - format=column.format, - array=np.zeros(len(orig_table)), - )]) + new_col = fits.ColDefs( + [ + fits.Column( + name=column.name, + format=column.format, + array=np.zeros(len(orig_table)), + ) + ] + ) col_list = orig_cols + new_col hdu = fits.BinTableHDU.from_columns(col_list) hdu.data[column.name] = column.data @@ -1541,21 +1557,21 @@ def _get_fits_col_type(self, col_data): """ if col_data is None or len(col_data) == 0: - col_type = 'D' + col_type = "D" elif type(col_data[0]) in [np.int16]: - col_type = 'I' + col_type = "I" elif type(col_data[0]) in [np.int32]: - col_type = 'J' + col_type = "J" elif type(col_data[0]) in [int, np.int64]: - col_type = 'K' + col_type = "K" elif type(col_data[0]) in [float, np.float16, np.float32, np.float64]: - col_type = 'D' + col_type = "D" elif type(col_data[0]) is bool: - col_type = 'L' + col_type = "L" elif type(col_data[0]) in [str, np.str_, np.str0]: - col_type = 'A' + col_type = "A" else: - col_type = 'D' + col_type = "D" return col_type @@ -1575,27 +1591,27 @@ def _get_python_col_type(self, col_type): Column Python data type """ - if col_type in ['B', 'I', 'J', 'K']: - pcol_type = '%d' - elif col_type in ['D', 'E']: - pcol_type = '%f' - elif col_type in ['A', 'C', 'M']: - pcol_type = '%s' - elif col_type == 'L': - pcol_type = '%s' + if col_type in ["B", "I", "J", "K"]: + pcol_type = "%d" + elif col_type in ["D", "E"]: + pcol_type = "%f" + elif col_type in ["A", "C", "M"]: + pcol_type = "%s" + elif col_type == "L": + pcol_type = "%s" else: - pcol_type = '%f' + pcol_type = "%f" return pcol_type def _save_to_fits( - self, - data, - names, - it, - ext_name=None, - sex_cat_path=None, - overwrite=False, + self, + data, + names, + it, + ext_name=None, + sex_cat_path=None, + overwrite=False, ): """Save to FITS. @@ -1618,24 +1634,24 @@ def _save_to_fits( """ if data is None: - raise ValueError('Data not provided') + raise ValueError("Data not provided") if self._file_exists(self.fullpath) and not overwrite: if self._cat_data is None: self.open() if ext_name is None: - ext_name = 'new' + ext_name = "new" else: if self._SEx_catalogue: self.create(s_hdu=False, sex_cat_path=sex_cat_path) self.open() if ext_name is None: - ext_name = 'LDAC_OBJECTS' + ext_name = "LDAC_OBJECTS" else: self.create(s_hdu=False) self.open() if ext_name is None: - ext_name = 'new' + ext_name = "new" if len(names) == 1: data = np.array([data]) @@ -1649,29 +1665,35 @@ def _save_to_fits( if len(data_shape) != 0: for shape in data_shape: mem_size *= shape - data_format = f'{mem_size}{data_type}' - col_list.append(fits.Column( - name=name, - format=data_format, - array=data[idx], - dim=dim, - )) - elif data_type == 'A': + data_format = f"{mem_size}{data_type}" + col_list.append( + fits.Column( + name=name, + format=data_format, + array=data[idx], + dim=dim, + ) + ) + elif data_type == "A": mem_size *= len(max(data[idx], key=len)) - data_format = f'{mem_size}{data_type}' - col_list.append(fits.Column( - name=name, - format=data_format, - array=data[idx], - dim=str((mem_size,)), - )) + data_format = f"{mem_size}{data_type}" + col_list.append( + fits.Column( + name=name, + format=data_format, + array=data[idx], + dim=str((mem_size,)), + ) + ) else: - data_format = f'{mem_size}{data_type}' - col_list.append(fits.Column( - name=name, - format=data_format, - array=data[idx], - )) + data_format = f"{mem_size}{data_type}" + col_list.append( + fits.Column( + name=name, + format=data_format, + array=data[idx], + ) + ) self._cat_data.append( fits.BinTableHDU.from_columns(col_list, name=ext_name) @@ -1703,13 +1725,13 @@ def _save_from_recarray( """ if data is None: - raise ValueError('Data not provided') + raise ValueError("Data not provided") if self._file_exists(self.fullpath) and not overwrite: if self._cat_data is None: self.open() if ext_name is None: - ext_name = 'new' + ext_name = "new" self._cat_data.append(fits.BinTableHDU(data, name=ext_name)) self.close() else: @@ -1717,14 +1739,14 @@ def _save_from_recarray( self.create(s_hdu=False, sex_cat_path=sex_cat_path) self.open() if ext_name is None: - ext_name = 'LDAC_OBJECTS' + ext_name = "LDAC_OBJECTS" self._cat_data.append(fits.BinTableHDU(data, name=ext_name)) self.close() else: self.create(s_hdu=False) self.open() if ext_name is None: - ext_name = 'new' + ext_name = "new" self._cat_data.append(fits.BinTableHDU(data, name=ext_name)) self.close() @@ -1743,13 +1765,13 @@ def _save_image(self, data=None, header=None, overwrite=False): Option to overwrite an existing catalogue """ - if (data is not None): + if data is not None: fits.PrimaryHDU(data, header).writeto( self.fullpath, overwrite=overwrite, ) else: - raise ValueError('Data or names not provided') + raise ValueError("Data or names not provided") class Column(BaseCatalogue.Column): """Column. @@ -1775,7 +1797,7 @@ def __init__(self, name, format=None, comment=None, data=None): self._name = name if format is None: - format = 'D' + format = "D" self._format = format if comment is None: @@ -1791,7 +1813,7 @@ def __init__(self, name, format=None, comment=None, data=None): self._data = data def __str__(self): - info = f'{self._cat_col}' + info = f"{self._cat_col}" return info @property @@ -1874,7 +1896,7 @@ def get_unit_from_fits_header(header, key): idx = 1 idx_found = -1 while True: - ttype_idx = f'TTYPE{idx}' + ttype_idx = f"TTYPE{idx}" if ttype_idx not in header: # Reached beyond last column break @@ -1886,14 +1908,13 @@ def get_unit_from_fits_header(header, key): idx += 1 if idx_found == -1: - raise IndexError(f'Column \'{key}\' not found in FITS header') + raise IndexError(f"Column '{key}' not found in FITS header") # Extract coordinate unit string from header - tcunit_idx = f'TCUNI{idx}' + tcunit_idx = f"TCUNI{idx}" if tcunit_idx not in header: raise IndexError( - f'No coordinate unit found for column \'{key}\'' - ' in FITS header' + f"No coordinate unit found for column '{key}'" " in FITS header" ) unit_str = header[tcunit_idx] diff --git a/shapepipe/pipeline/job_handler.py b/shapepipe/pipeline/job_handler.py index bc80f35da..9a6e01f1f 100644 --- a/shapepipe/pipeline/job_handler.py +++ b/shapepipe/pipeline/job_handler.py @@ -55,8 +55,8 @@ def __init__( filehd, config, log, - job_type='parallel', - parallel_mode='smp', + job_type="parallel", + parallel_mode="smp", batch_size=None, backend=None, timeout=None, @@ -109,7 +109,7 @@ def config(self, value): if not isinstance(value, ConfigParser): raise TypeError( - 'config must be an instane of configparser.ConfigParser' + "config must be an instane of configparser.ConfigParser" ) self._config = value @@ -132,7 +132,7 @@ def log(self): def log(self, value): if not isinstance(value, Logger): - raise TypeError('log must be an instance of logging.Logger.') + raise TypeError("log must be an instance of logging.Logger.") self._log = value @@ -153,8 +153,8 @@ def job_type(self): @job_type.setter def job_type(self, value): - if value not in ('serial', 'parallel'): - raise TypeError(f'{value} is not a valid job type.') + if value not in ("serial", "parallel"): + raise TypeError(f"{value} is not a valid job type.") self._job_type = value @@ -175,8 +175,8 @@ def parallel_mode(self): @parallel_mode.setter def parallel_mode(self, value): - if value not in ('smp', 'mpi'): - raise TypeError(f'{value} is not a valid parallel mode.') + if value not in ("smp", "mpi"): + raise TypeError(f"{value} is not a valid parallel mode.") self._parallel_mode = value @@ -197,20 +197,19 @@ def batch_size(self): @batch_size.setter def batch_size(self, value): - if ( - isinstance(value, type(None)) - and self.config.has_option('JOB', 'SMP_BATCH_SIZE') + if isinstance(value, type(None)) and self.config.has_option( + "JOB", "SMP_BATCH_SIZE" ): - value = self.config.getint('JOB', 'SMP_BATCH_SIZE') + value = self.config.getint("JOB", "SMP_BATCH_SIZE") elif isinstance(value, type(None)): value = 1 if not isinstance(value, int) or (value < 1): - raise ValueError('Batch size must be an integer >= 1.') + raise ValueError("Batch size must be an integer >= 1.") if value > cpu_count(): - warn('Batch size exeeds the number of available CPUs.') + warn("Batch size exeeds the number of available CPUs.") self._batch_size = value @@ -231,16 +230,15 @@ def backend(self): @backend.setter def backend(self, value): - if ( - isinstance(value, type(None)) - and self.config.has_option('JOB', 'SMP_BACKEND') + if isinstance(value, type(None)) and self.config.has_option( + "JOB", "SMP_BACKEND" ): - value = self.config.get('JOB', 'SMP_BACKEND').lower() + value = self.config.get("JOB", "SMP_BACKEND").lower() elif isinstance(value, type(None)): - value = 'loky' + value = "loky" - if value not in ('loky', 'multiprocessing', 'threading'): - raise ValueError(f'{value} is not a valid joblib backend.') + if value not in ("loky", "multiprocessing", "threading"): + raise ValueError(f"{value} is not a valid joblib backend.") self._backend = value @@ -263,15 +261,14 @@ def timeout(self): @timeout.setter def timeout(self, value): - if ( - isinstance(value, type(None)) - and self.config.has_option('JOB', 'TIMEOUT') + if isinstance(value, type(None)) and self.config.has_option( + "JOB", "TIMEOUT" ): - value = self.config.get('JOB', 'TIMEOUT') - value = self.hms2sec(value) if ':' in value else int(value) + value = self.config.get("JOB", "TIMEOUT") + value = self.hms2sec(value) if ":" in value else int(value) if not isinstance(value, (type(None), int)): - raise TypeError('Timeout must be None or an integer.') + raise TypeError("Timeout must be None or an integer.") self._timeout = value @@ -283,12 +280,12 @@ def finish_up(self): """ self._check_for_errors() self._check_missed_processes() - self.log.info('All processes complete') - self.log.info('') + self.log.info("All processes complete") + self.log.info("") if self._verbose: - print('All processes complete') - print('') + print("All processes complete") + print("") collect() @@ -300,7 +297,7 @@ def submit_jobs(self): Submit jobs in serial or parallel. """ - if self.job_type == 'serial': + if self.job_type == "serial": self.submit_serial_job() else: self._distribute_smp_jobs() @@ -328,7 +325,7 @@ def hms2sec(time_str): Time strings should take the form 'HH:MM:SS'. """ - h, m, s = time_str.split(':') + h, m, s = time_str.split(":") return int(h) * 3600 + int(m) * 60 + int(s) @@ -338,15 +335,15 @@ def _log_job_parameters(self): This method logs the job handler instance parameters. """ - text = 'Starting job handler with:' - module_info = f' - Module: {self._module}' - job_prop_text = ' - Job Properties:' - job_type = f' -- Job Type: {self.job_type}' - batch_info = f' -- Batch size: {self.batch_size}' - time_info = f' -- Timeout Limit: {self.timeout}s' + text = "Starting job handler with:" + module_info = f" - Module: {self._module}" + job_prop_text = " - Job Properties:" + job_type = f" -- Job Type: {self.job_type}" + batch_info = f" -- Batch size: {self.batch_size}" + time_info = f" -- Timeout Limit: {self.timeout}s" show_batch_into = ( - self.job_type == 'parallel' and self.parallel_mode == 'smp' + self.job_type == "parallel" and self.parallel_mode == "smp" ) self.log.info(text) @@ -372,7 +369,7 @@ def _log_num_processes(self): This method logs the number of processes detected for a given module. """ - proc_info = f' -- Total number of processes: {self._n_procs}' + proc_info = f" -- Total number of processes: {self._n_procs}" self.log.info(proc_info) @@ -385,20 +382,18 @@ def _distribute_smp_jobs(self): This method distributes the jobs to the workers using SMP. """ - result = ( - Parallel(n_jobs=self.batch_size, backend=self.backend)( - delayed(WorkerHandler(verbose=self._verbose).worker)( - process[1:], - process[0], - self.filehd.get_worker_log_name(self._module, process[0]), - self.filehd.module_run_dirs, - self.config, - self.filehd.get_module_config_sec(self._module), - self.timeout, - self._module_runner - ) - for process in self.filehd.process_list + result = Parallel(n_jobs=self.batch_size, backend=self.backend)( + delayed(WorkerHandler(verbose=self._verbose).worker)( + process[1:], + process[0], + self.filehd.get_worker_log_name(self._module, process[0]), + self.filehd.module_run_dirs, + self.config, + self.filehd.get_module_config_sec(self._module), + self.timeout, + self._module_runner, ) + for process in self.filehd.process_list ) self.worker_dicts = result @@ -414,9 +409,10 @@ def submit_serial_job(self): result = wh.worker( process, - '', - self.filehd.get_worker_log_name(self._module, '_serial'), - self.filehd.module_run_dirs, self.config, + "", + self.filehd.get_worker_log_name(self._module, "_serial"), + self.filehd.module_run_dirs, + self.config, self.filehd.get_module_config_sec(self._module), self.timeout, self._module_runner, @@ -442,7 +438,7 @@ def _check_exception_status(self): """ for worker_dict in self.worker_dicts: - if worker_dict['exception']: + if worker_dict["exception"]: self.log.info( f'ERROR: {worker_dict["exception"]} recorded ' + f'in: {worker_dict["log"]}' @@ -457,7 +453,7 @@ def _check_stderr_status(self): """ for worker_dict in self.worker_dicts: - if worker_dict['stderr']: + if worker_dict["stderr"]: self.log.info( f'ERROR: stderr recorded in: {worker_dict["log"]}' ) @@ -470,18 +466,16 @@ def _check_missed_processes(self): submitted. """ - missed_txt = ( - ' - The following processes were not submitted to workers:' - ) + missed_txt = " - The following processes were not submitted to workers:" if self.filehd.missed: self.log.info(missed_txt) - self.log.info(f' - {self.filehd.missed}') + self.log.info(f" - {self.filehd.missed}") if self._verbose: print(missed_txt) - print(f' - {self.filehd.missed}') + print(f" - {self.filehd.missed}") def clean_up(self): """Finish. diff --git a/shapepipe/pipeline/mpi_run.py b/shapepipe/pipeline/mpi_run.py index c92d943c8..4aa547a78 100644 --- a/shapepipe/pipeline/mpi_run.py +++ b/shapepipe/pipeline/mpi_run.py @@ -51,14 +51,16 @@ def submit_mpi_jobs( w_log_name = worker_log(module_runner.__name__, process[0]) wh = WorkerHandler(verbose=verbose) - result.append(wh.worker( - process[1:], - process[0], - w_log_name, - run_dirs, - config, - timeout, - module_runner - )) + result.append( + wh.worker( + process[1:], + process[0], + w_log_name, + run_dirs, + config, + timeout, + module_runner, + ) + ) return result diff --git a/shapepipe/pipeline/run_log.py b/shapepipe/pipeline/run_log.py index c182eeac7..110378539 100644 --- a/shapepipe/pipeline/run_log.py +++ b/shapepipe/pipeline/run_log.py @@ -30,7 +30,7 @@ class RunLog(object): def __init__(self, run_log_file, module_list, current_run): self.run_log_file = run_log_file - self._module_list = ','.join(module_list) + self._module_list = ",".join(module_list) self.current_run = current_run self._write() self._runs = get_list(run_log_file) @@ -41,8 +41,8 @@ def _write(self): Write current run to the run log. """ - with open(self.run_log_file, 'a') as run_log: - run_log.write(f'{self.current_run} {self._module_list}\n') + with open(self.run_log_file, "a") as run_log: + run_log.write(f"{self.current_run} {self._module_list}\n") def get_run(self, search_string): """Get Run. @@ -71,16 +71,16 @@ def get_run(self, search_string): if len(runs) < 1: raise RuntimeError( - f'No runs found matching search string \'{search_string}\'.' + f"No runs found matching search string '{search_string}'." ) elif len(runs) > 1: raise RuntimeError( - 'More than one run found matching search string ' - + f'\'{search_string}\'' + "More than one run found matching search string " + + f"'{search_string}'" ) - return runs[0].split(' ')[0] + return runs[0].split(" ")[0] def get_list(run_log_file): @@ -99,7 +99,7 @@ def get_list(run_log_file): Run log file entries """ - with open(run_log_file, 'r') as run_log: + with open(run_log_file, "r") as run_log: lines = run_log.readlines() runs = [line.rstrip() for line in lines] @@ -132,14 +132,9 @@ def get_all(runs, module): """ module_base, _ = split_module_run(module) - all_runs = [ - run for run in runs - if module_base in run.split()[1].split(',') - ] + all_runs = [run for run in runs if module_base in run.split()[1].split(",")] if len(all_runs) == 0: - raise RuntimeError( - f'No previous run of module \'{module_base}\' found' - ) + raise RuntimeError(f"No previous run of module '{module_base}' found") all_runs = all_runs[::-1] @@ -167,7 +162,7 @@ def get_last(runs, module): all_runs = get_all(runs, module) last_run = all_runs[0] - return last_run.split(' ')[0] + return last_run.split(" ")[0] def get_all_dirs(run_log_file, module): @@ -195,7 +190,7 @@ def get_all_dirs(run_log_file, module): for run in all_runs: dir_name = run.split(" ")[0] all_dirs.append(f"{dir_name}/{module}/output") - + return all_dirs @@ -221,6 +216,3 @@ def get_last_dir(run_log_file, module): last_dir = all_dirs[0] return last_dir - - - diff --git a/shapepipe/pipeline/shared.py b/shapepipe/pipeline/shared.py index 75873251b..24984b34b 100644 --- a/shapepipe/pipeline/shared.py +++ b/shapepipe/pipeline/shared.py @@ -33,10 +33,10 @@ def check_duplicate(input_list): else: input_set.add(elem) - return '' + return "" -def find_files(path, pattern='*', ext='*'): +def find_files(path, pattern="*", ext="*"): """Find Files. This method recursively retrieves file names from a given path that @@ -66,8 +66,8 @@ def find_files(path, pattern='*', ext='*'): For invalid extension format """ - dot = '.' - star = '*' + dot = "." + star = "*" if pattern != star and star in pattern: raise ValueError('Do not include "*" in pattern.') @@ -81,7 +81,7 @@ def find_files(path, pattern='*', ext='*'): if ext != star and not ext.startswith(dot): ext = dot + ext - search_string = f'{path}/**/*{pattern}*{ext}' + search_string = f"{path}/**/*{pattern}*{ext}" return glob(search_string, recursive=True) @@ -109,10 +109,10 @@ def split_module_run(module_str): """ if not isinstance(module_str, str): raise TypeError( - f'Input module_str must be a string not {type(module_str)}.' + f"Input module_str must be a string not {type(module_str)}." ) - run_split = '_run_' + run_split = "_run_" module_run = module_str if run_split in module_str: diff --git a/shapepipe/pipeline/str_handler.py b/shapepipe/pipeline/str_handler.py index f64da49f0..e443e31f6 100644 --- a/shapepipe/pipeline/str_handler.py +++ b/shapepipe/pipeline/str_handler.py @@ -39,7 +39,7 @@ class StrInterpreter(object): def __init__(self, string, catalogue, make_compare=False, mask_dict=None): if type(string) is not str: - raise ValueError('string has to be str type') + raise ValueError("string has to be str type") else: self._string = string @@ -52,7 +52,7 @@ def __init__(self, string, catalogue, make_compare=False, mask_dict=None): else: self._cat = catalogue else: - raise ValueError('catalogue not provided') + raise ValueError("catalogue not provided") self._make_compare = make_compare @@ -61,12 +61,12 @@ def __init__(self, string, catalogue, make_compare=False, mask_dict=None): self._init_stat_function() self._comp_dict = { - '<': operator.lt, - '>': operator.gt, - '<=': operator.le, - '>=': operator.ge, - '==': operator.eq, - '!=': operator.ne, + "<": operator.lt, + ">": operator.gt, + "<=": operator.le, + ">=": operator.ge, + "==": operator.eq, + "!=": operator.ne, } self.result = self.interpret(self._string, self._make_compare) @@ -107,7 +107,7 @@ def interpret( result = self._compare(string) else: if make_operate: - string_split = re.split(r'\*|\/|\-|\+\s*(?![^()]*\))', string) + string_split = re.split(r"\*|\/|\-|\+\s*(?![^()]*\))", string) result = self._operate(string, string_split) else: if make_func: @@ -128,14 +128,14 @@ def _compare(self, string): strind containing the comparison. """ - comp = '<|>|<=|>=|==|!=' + comp = "<|>|<=|>=|==|!=" if len(re.split(comp, string)) != 2: raise Exception( - 'Only one comparison in [<, >, <=, >=, ==, !=] per line' + "Only one comparison in [<, >, <=, >=, ==, !=] per line" ) - for operator in ['<=', '>=', '<', '>', '==', '!=']: + for operator in ["<=", ">=", "<", ">", "==", "!="]: terms = re.split(operator, string) if len(terms) == 2: self._make_compare = False @@ -158,7 +158,7 @@ def _apply_func(self, string): result of the function """ - str_split = re.split(r'\(|\)', string) + str_split = re.split(r"\(|\)", string) if len(str_split) == 1: return self.interpret( @@ -168,7 +168,7 @@ def _apply_func(self, string): make_operate=False, ) elif len(str_split) == 3: - str_split_2 = re.split(',', str_split[1]) + str_split_2 = re.split(",", str_split[1]) if len(str_split_2) > 1: param = [ self.interpret( @@ -176,7 +176,8 @@ def _apply_func(self, string): self._make_compare, make_func=False, make_operate=True, - ) for char in str_split_2 + ) + for char in str_split_2 ] # Evaluate statistical function, raise error if failure @@ -190,19 +191,21 @@ def _apply_func(self, string): else: if str_split[0] not in self._stat_func: raise KeyError( - f'Invalid function \'{str_split[0]}\' in expression ' - + f'\'{string}\'' + f"Invalid function '{str_split[0]}' in expression " + + f"'{string}'" + ) + return self._stat_func[str_split[0]]( + self.interpret( + str_split[1], + self._make_compare, + make_func=False, + make_operate=True, ) - return self._stat_func[str_split[0]](self.interpret( - str_split[1], - self._make_compare, - make_func=False, - make_operate=True, - )) + ) else: raise Exception( - 'Only one function can be applied. Problem with the ' - + f'term: {string}' + "Only one function can be applied. Problem with the " + + f"term: {string}" ) def _init_stat_function(self): @@ -212,21 +215,21 @@ def _init_stat_function(self): """ self._stat_func = {} - self._stat_func['mean'] = np.mean - self._stat_func['median'] = np.median - self._stat_func['mode'] = self._mode - self._stat_func['sqrt'] = np.sqrt - self._stat_func['pow'] = pow - self._stat_func['log'] = np.log - self._stat_func['log10'] = np.log10 - self._stat_func['exp'] = np.exp - self._stat_func['std'] = np.std - self._stat_func['var'] = np.var - self._stat_func['sigma_mad'] = self._sigma_mad - self._stat_func['len'] = len - self._stat_func['min'] = min - self._stat_func['max'] = max - self._stat_func['homogen'] = self._test_homogeneity + self._stat_func["mean"] = np.mean + self._stat_func["median"] = np.median + self._stat_func["mode"] = self._mode + self._stat_func["sqrt"] = np.sqrt + self._stat_func["pow"] = pow + self._stat_func["log"] = np.log + self._stat_func["log10"] = np.log10 + self._stat_func["exp"] = np.exp + self._stat_func["std"] = np.std + self._stat_func["var"] = np.var + self._stat_func["sigma_mad"] = self._sigma_mad + self._stat_func["len"] = len + self._stat_func["min"] = min + self._stat_func["max"] = max + self._stat_func["homogen"] = self._test_homogeneity def _mean(self, input): """Get Mean. @@ -303,7 +306,7 @@ def _mode(self, input, eps=0.001, iter_max=1000): iteration += 1 if iteration == iter_max: - raise ValueError('Mode computation failed') + raise ValueError("Mode computation failed") else: mode = (b_min + b_max) / 2.0 return mode @@ -361,18 +364,18 @@ def _test_homogeneity(self, *args): n_cells = args[2] else: raise ValueError( - 'Inputs should be param_1, param_2 [optional], n_cells' + "Inputs should be param_1, param_2 [optional], n_cells" ) if n_param == 2: if len(param[0]) != len(param[1]): raise ValueError( - 'Both param_1 and param_2 must have the same ' - + f'length : {len(param[0])}, {len(param[1])}' + "Both param_1 and param_2 must have the same " + + f"length : {len(param[0])}, {len(param[1])}" ) if np.sqrt(n_cells) % 1 != 0: - raise ValueError('N_cells must be a square number') + raise ValueError("N_cells must be a square number") n_tot = len(param[0]) homo_ratio = float(n_tot) / float(n_cells) @@ -380,37 +383,52 @@ def _test_homogeneity(self, *args): param_min = [] param_max = [] for idx in param: - step = ( - (np.max(idx) - np.min(idx)) - / pow(n_cells, 1.0 / float(n_param)) + step = (np.max(idx) - np.min(idx)) / pow( + n_cells, 1.0 / float(n_param) ) param_min.append( [val for val in np.arange(np.min(idx), np.max(idx), step)] ) param_max.append( [ - val for val in - np.arange(np.min(idx) + step, np.max(idx) + step, step) + val + for val in np.arange( + np.min(idx) + step, np.max(idx) + step, step + ) ] ) if n_param == 1: - n_obj = np.asarray([ - float(len(np.where( - (param[0] >= param_min[0][idx]) - & (param[0] <= param_max[0][idx]) - )[0])) for idx in range(int(n_cells)) - ]) + n_obj = np.asarray( + [ + float( + len( + np.where( + (param[0] >= param_min[0][idx]) + & (param[0] <= param_max[0][idx]) + )[0] + ) + ) + for idx in range(int(n_cells)) + ] + ) elif n_param == 2: it = itertools.product(range(int(np.sqrt(n_cells))), repeat=2) - n_obj = np.asarray([ - float(len(np.where( - (param[0] >= param_min[0][idx_i]) - & (param[0] <= param_max[0][idx_i]) - & (param[1] >= param_min[1][idx_j]) - & (param[1] <= param_max[1][idx_j]) - )[0])) for idx_i, idx_j in it - ]) + n_obj = np.asarray( + [ + float( + len( + np.where( + (param[0] >= param_min[0][idx_i]) + & (param[0] <= param_max[0][idx_i]) + & (param[1] >= param_min[1][idx_j]) + & (param[1] <= param_max[1][idx_j]) + )[0] + ) + ) + for idx_i, idx_j in it + ] + ) actual_std = np.std(n_obj / homo_ratio) @@ -442,47 +460,47 @@ def _operate(self, string, string_split): It's used as a recursive function """ - op = r'\*|\/|\-|\+\s*(?![^()]*\))' + op = r"\*|\/|\-|\+\s*(?![^()]*\))" if string is None: - raise ValueError('Parameter not specified') + raise ValueError("Parameter not specified") if string_split is None: - raise ValueError('Parameters splited not specified') + raise ValueError("Parameters splited not specified") if len(re.split(op, string)) == 1: return self.interpret(string, make_operate=False) tmp = self._string_op_func( - re.split(r'\+\s*(?![^()]*\))', string), + re.split(r"\+\s*(?![^()]*\))", string), string_split, operator.add, 0, ) - if not np.isscalar(tmp) or tmp != 'pass': + if not np.isscalar(tmp) or tmp != "pass": return tmp else: tmp = self._string_op_func( - re.split(r'\-\s*(?![^()]*\))', string), + re.split(r"\-\s*(?![^()]*\))", string), string_split, operator.sub, - 'init', + "init", ) - if not np.isscalar(tmp) or tmp != 'pass': + if not np.isscalar(tmp) or tmp != "pass": return tmp else: tmp = self._string_op_func( - re.split(r'\*\s*(?![^()]*\))', string), + re.split(r"\*\s*(?![^()]*\))", string), string_split, operator.mul, 1, ) - if not np.isscalar(tmp) or tmp != 'pass': + if not np.isscalar(tmp) or tmp != "pass": return tmp else: return self._string_op_func( - re.split(r'\/\s*(?![^()]*\))', string), + re.split(r"\/\s*(?![^()]*\))", string), string_split, operator.truediv, - 'init', + "init", ) def _string_op_func(self, string_op, string_split, op, tmp): @@ -512,7 +530,7 @@ def _string_op_func(self, string_op, string_split, op, tmp): """ if len(string_op) > 2: for operator in string_op: - if tmp == 'init': + if tmp == "init": tmp = self._operate(operator, string_split) else: tmp = op(tmp, self._operate(operator, string_split)) @@ -528,7 +546,7 @@ def _string_op_func(self, string_op, string_split, op, tmp): second = self._operate(string_op[1], string_split) return op(first, second) else: - return 'pass' + return "pass" def _get_value(self, string): """Get Value. @@ -558,28 +576,26 @@ def _get_value(self, string): string_value = float(string) return string_value except Exception: - str_split = re.split(r'\{|\}', string) + str_split = re.split(r"\{|\}", string) if len(str_split) == 1: try: return self._cat[string] except Exception: raise ValueError( - 'String has to be a float or a catalogue parameter. ' - + f'{string} not found' + "String has to be a float or a catalogue parameter. " + + f"{string} not found" ) if len(str_split) == 3: if str_split[1] in self._mask.keys(): try: - return ( - self._cat[str_split[0]][self._mask[str_split[1]]] - ) + return self._cat[str_split[0]][self._mask[str_split[1]]] except Exception: raise ValueError( - 'String has to be a catalogue parameter. ' - + f'{str_split[0]} not found' + "String has to be a catalogue parameter. " + + f"{str_split[0]} not found" ) else: raise ValueError( - f'Mask has to be provided. {str_split[1]} not ' - + 'found in mask' + f"Mask has to be provided. {str_split[1]} not " + + "found in mask" ) diff --git a/shapepipe/pipeline/timeout.py b/shapepipe/pipeline/timeout.py index a27726b30..f37e1876e 100644 --- a/shapepipe/pipeline/timeout.py +++ b/shapepipe/pipeline/timeout.py @@ -28,9 +28,10 @@ def with_timeout(timeout, log_file): For process exceeding timeout limit """ + def handler(signum, frame): raise TimeoutError( - f'The process time exceeded {timeout}s in {log_file}' + f"The process time exceeded {timeout}s in {log_file}" ) def decorator(decorated): diff --git a/shapepipe/pipeline/worker_handler.py b/shapepipe/pipeline/worker_handler.py index c8fb7cb2d..bdd8b037e 100644 --- a/shapepipe/pipeline/worker_handler.py +++ b/shapepipe/pipeline/worker_handler.py @@ -39,7 +39,7 @@ def worker( config, module_config_sec, timeout, - module_runner + module_runner, ): """Worker. @@ -73,8 +73,7 @@ def worker( self._config = config self._module_config_sec = module_config_sec self._module_runner = module_runner - self._prepare_worker(process, job_name, timeout, - module_runner.__name__) + self._prepare_worker(process, job_name, timeout, module_runner.__name__) self._create_worker_log() self._run_worker() close_log(self.w_log, verbose=False) @@ -98,7 +97,7 @@ def _set_job_name(num): Job name """ - return f'process{num}' + return f"process{num}" def _prepare_worker(self, process, job_name, timeout, module): """Prepare Worker. @@ -117,18 +116,18 @@ def _prepare_worker(self, process, job_name, timeout, module): Module runner name """ - self.worker_dict['pid'] = getpid() - self.worker_dict['threads'] = active_count() - self.worker_dict['node'] = platform.node() - self.worker_dict['system'] = platform.system() - self.worker_dict['machine'] = platform.machine() - self.worker_dict['exception'] = False - self.worker_dict['stderr'] = False - self.worker_dict['process'] = list(process) - self.worker_dict['file_number_string'] = job_name - self.worker_dict['job_name'] = self._set_job_name(job_name) - self.worker_dict['timeout'] = timeout - self.worker_dict['module'] = module + self.worker_dict["pid"] = getpid() + self.worker_dict["threads"] = active_count() + self.worker_dict["node"] = platform.node() + self.worker_dict["system"] = platform.system() + self.worker_dict["machine"] = platform.machine() + self.worker_dict["exception"] = False + self.worker_dict["stderr"] = False + self.worker_dict["process"] = list(process) + self.worker_dict["file_number_string"] = job_name + self.worker_dict["job_name"] = self._set_job_name(job_name) + self.worker_dict["timeout"] = timeout + self.worker_dict["module"] = module def _create_worker_log(self): """Create Worker Log. @@ -137,18 +136,17 @@ def _create_worker_log(self): worker parameters. """ - process_size = len(str(self.worker_dict['process'])) + process_size = len(str(self.worker_dict["process"])) if self._verbose: - job_name = self.worker_dict['job_name'] - pid = self.worker_dict['pid'] + job_name = self.worker_dict["job_name"] + pid = self.worker_dict["pid"] - print(f' - {job_name} PID: {pid} ', end='') + print(f" - {job_name} PID: {pid} ", end="") - if ( - process_size - < self._config.getint('WORKER', 'PROCESS_PRINT_LIMIT') + if process_size < self._config.getint( + "WORKER", "PROCESS_PRINT_LIMIT" ): print( f'processing {self.worker_dict["file_number_string"]} ' @@ -158,8 +156,8 @@ def _create_worker_log(self): print() self.w_log = set_up_log(self._w_log_name, verbose=False) - self.worker_dict['log'] = self.w_log.name - self.w_log.info('Worker process running with:') + self.worker_dict["log"] = self.w_log.name + self.w_log.info("Worker process running with:") self.w_log.info(f' - Job Name: {self.worker_dict["job_name"]}') self.w_log.info(f' - PID: {self.worker_dict["pid"]}') self.w_log.info(f' - Threads: {self.worker_dict["threads"]}') @@ -177,13 +175,13 @@ def _run_worker(self): """ try: - with_timeout(self.worker_dict['timeout'], self.w_log.name)( + with_timeout(self.worker_dict["timeout"], self.w_log.name)( self._worker_execution )() except Exception as err: catch_error(err, self.w_log) - self.worker_dict['exception'] = type(err).__name__ + self.worker_dict["exception"] = type(err).__name__ def _worker_execution(self): """Worker Execution. @@ -205,12 +203,10 @@ def _run_module(self): For non-existent module runner """ - self.w_log.info( - f' - Running module: {self.worker_dict["module"]}' - ) + self.w_log.info(f' - Running module: {self.worker_dict["module"]}') - file_number_string = self.worker_dict['file_number_string'] - input_file_list = self.worker_dict['process'] + file_number_string = self.worker_dict["file_number_string"] + input_file_list = self.worker_dict["process"] self._stdout, self._stderr = self._module_runner( input_file_list, @@ -228,11 +224,11 @@ def _log_stdout(self): """ self.w_log.info( - f'Process produced the following output: {self._stdout}' + f"Process produced the following output: {self._stdout}" ) if self._stderr: self.w_log.info( - f'Process produced the following error(s): {self._stderr}' + f"Process produced the following error(s): {self._stderr}" ) - self.worker_dict['stderr'] = True + self.worker_dict["stderr"] = True diff --git a/shapepipe/run.py b/shapepipe/run.py index 80bebbda5..5e095ba16 100644 --- a/shapepipe/run.py +++ b/shapepipe/run.py @@ -29,7 +29,7 @@ import_mpi = True -class ShapePipe(): +class ShapePipe: """ShapePipe. ShapePipe runner class. @@ -49,10 +49,10 @@ def set_up(self): self._args = create_arg_parser() self.config = create_config_parser(self._args.config) self._set_run_name() - self.modules = self.config.getlist('EXECUTION', 'MODULE') - self.mode = self.config.get('EXECUTION', 'MODE').lower() - self.exclusive=self._args.exclusive - self.verbose = self.config.getboolean('DEFAULT', 'VERBOSE') + self.modules = self.config.getlist("EXECUTION", "MODULE") + self.mode = self.config.get("EXECUTION", "MODE").lower() + self.exclusive = self._args.exclusive + self.verbose = self.config.getboolean("DEFAULT", "VERBOSE") self.filehd = FileHandler( self._run_name, self.modules, @@ -69,10 +69,10 @@ def _set_run_name(self): Set the name of the current pipeline run. """ - self._run_name = self.config.get('DEFAULT', 'RUN_NAME') + self._run_name = self.config.get("DEFAULT", "RUN_NAME") - if self.config.getboolean('DEFAULT', 'RUN_DATETIME'): - self._run_name += datetime.now().strftime('_%Y-%m-%d_%H-%M-%S') + if self.config.getboolean("DEFAULT", "RUN_DATETIME"): + self._run_name += datetime.now().strftime("_%Y-%m-%d_%H-%M-%S") def _create_pipeline_log(self): """Create Pipeline Log. @@ -82,16 +82,16 @@ def _create_pipeline_log(self): """ self.log = set_up_log(self.filehd.log_name, verbose=False) - start_text = f'Starting ShapePipe Run: {self._run_name}' + start_text = f"Starting ShapePipe Run: {self._run_name}" self.log.info(shapepipe_logo()) self.log.info(start_text) - self.log.info('') + self.log.info("") if self.verbose: print(shapepipe_logo(colour=True)) print(start_text) - print('') + print("") # Temporary fix to give file handler access to the log. This should # be improved at some point. @@ -109,13 +109,13 @@ def close_pipeline_log(self): """ if self.error_count == 1: - plur = ' was' + plur = " was" else: - plur = 's were' + plur = "s were" final_error_count = ( - f'A total of {self.error_count} error{plur} recorded.' + f"A total of {self.error_count} error{plur} recorded." ) - end_text = 'Finishing ShapePipe Run' + end_text = "Finishing ShapePipe Run" self.log.info(final_error_count) self.log.info(end_text) @@ -174,15 +174,15 @@ def _check_dependencies(self): Check that all pipeline dependencies have been installed. """ - module_dep = self._get_module_depends('depends') + __installs__ - module_exe = self._get_module_depends('executes') + module_dep = self._get_module_depends("depends") + __installs__ + module_exe = self._get_module_depends("executes") - module_dep += ['mpi4py'] if import_mpi else module_dep + module_dep += ["mpi4py"] if import_mpi else module_dep dh = DependencyHandler(module_dep, module_exe) - dep_text = 'Checking Python Dependencies:' - exe_text = 'Checking System Executables:' + dep_text = "Checking Python Dependencies:" + exe_text = "Checking System Executables:" self.log.info(dep_text) if self.verbose: @@ -195,9 +195,9 @@ def _check_dependencies(self): if self.verbose: print(dep) - self.log.info('') + self.log.info("") if self.verbose: - print('') + print("") self.log.info(exe_text) if self.verbose: @@ -210,9 +210,9 @@ def _check_dependencies(self): if self.verbose: print(exe) - self.log.info('') + self.log.info("") if self.verbose: - print('') + print("") def _check_module_versions(self): """Check Module Version. @@ -220,7 +220,7 @@ def _check_module_versions(self): Check versions of the modules. """ - ver_text = 'Checking Module Versions:' + ver_text = "Checking Module Versions:" self.log.info(ver_text) if self.verbose: @@ -229,16 +229,16 @@ def _check_module_versions(self): for module in set(self.modules): module_txt = ( - f' - {module} {self.filehd.module_runners[module].version}' + f" - {module} {self.filehd.module_runners[module].version}" ) self.log.info(module_txt) if self.verbose: print(module_txt) - self.log.info('') + self.log.info("") if self.verbose: - print('') + print("") def _check_system_setup(self): """Check System Set Up. @@ -246,17 +246,17 @@ def _check_system_setup(self): Check the set up of the machine on which the pipeline is running. """ - setup_text = 'Checking System Set Up:' - cpu_info = f' - Number of available CPUs: {cpu_count()}' + setup_text = "Checking System Set Up:" + cpu_info = f" - Number of available CPUs: {cpu_count()}" self.log.info(setup_text) self.log.info(cpu_info) - self.log.info('') + self.log.info("") if self.verbose: print(setup_text) print(cpu_info) - print('') + print("") def _get_module_run_methods(self): """Get Module Run Method. @@ -268,9 +268,9 @@ def _get_module_run_methods(self): for module in self.modules: - self.run_method[module] = ( - self.filehd.module_runners[module].run_method - ) + self.run_method[module] = self.filehd.module_runners[ + module + ].run_method def _prep_run(self): """Prepare Run. @@ -302,13 +302,13 @@ def record_mode(self): Log mode in which ShapePipe is running. """ - mode_text = f'Running ShapePipe using {self.mode}' + mode_text = f"Running ShapePipe using {self.mode}" self.log.info(mode_text) - self.log.info('') + self.log.info("") if self.verbose: print(mode_text) - print('') + print("") def run_smp(pipe): @@ -390,7 +390,7 @@ def run_mpi(pipe, comm): config=config, log=pipe.log, job_type=pipe.run_method[module], - parallel_mode='mpi', + parallel_mode="mpi", exclusive=pipe.exclusive, verbose=verbose, ) @@ -399,7 +399,7 @@ def run_mpi(pipe, comm): job_type = jh.job_type # Handle serial jobs - if job_type == 'serial': + if job_type == "serial": jh.submit_jobs() # Handle parallel jobs @@ -416,13 +416,14 @@ def run_mpi(pipe, comm): jobs = split_mpi_jobs(process_list, comm.size) del process_list else: - job_type = module_runner = worker_log = timeout = \ - jobs = run_dirs = None + job_type = module_runner = worker_log = timeout = jobs = ( + run_dirs + ) = None # Broadcast job type to all nodes job_type = comm.bcast(job_type, root=0) - if job_type == 'parallel': + if job_type == "parallel": # Broadcast objects to all nodes run_dirs = comm.bcast(run_dirs, root=0) @@ -441,7 +442,7 @@ def run_mpi(pipe, comm): run_dirs, module_runner, worker_log, - verbose + verbose, ), root=0, ) @@ -490,13 +491,13 @@ def run(*args): pipe = None mode = None - mode = comm.bcast(mode, root=0) if import_mpi else 'smp' + mode = comm.bcast(mode, root=0) if import_mpi else "smp" if master: pipe.mode = mode pipe.record_mode() - if mode == 'mpi': + if mode == "mpi": run_mpi(pipe, comm) else: run_smp(pipe) diff --git a/shapepipe/tests/test_get_images.py b/shapepipe/tests/test_get_images.py index ca492e9b6..860f37f97 100644 --- a/shapepipe/tests/test_get_images.py +++ b/shapepipe/tests/test_get_images.py @@ -19,8 +19,8 @@ class GetImagesTestCase(TestCase): def setUp(self): - self.number_tile = '123.456' - self.number_exp = '2490092p' + self.number_tile = "123.456" + self.number_exp = "2490092p" self.number_int = 123456 def tearDown(self): @@ -32,13 +32,11 @@ def tearDown(self): def test_in2out_pattern(self): npt.assert_string_equal( - get_images.in2out_pattern(self.number_tile), - '123-456' + get_images.in2out_pattern(self.number_tile), "123-456" ) npt.assert_string_equal( - get_images.in2out_pattern(self.number_exp), - '2490092' + get_images.in2out_pattern(self.number_exp), "2490092" ) npt.assert_raises( diff --git a/shapepipe/tests/test_pipeline.py b/shapepipe/tests/test_pipeline.py index 24b9ce8ca..2a59a6c74 100644 --- a/shapepipe/tests/test_pipeline.py +++ b/shapepipe/tests/test_pipeline.py @@ -18,8 +18,8 @@ class ExecuteTestCase(TestCase): def setUp(self): - self.command_line = 'echo 1' - self.output_tuple = ('1\n', '') + self.command_line = "echo 1" + self.output_tuple = ("1\n", "") def tearDown(self): @@ -34,5 +34,5 @@ def test_execute(self): def test_check_executable(self): npt.assert_raises(TypeError, execute.check_executable, 1) - npt.assert_raises(OSError, execute.check_executable, '') - self.assertIsNone(execute.check_executable('/bin/ls')) + npt.assert_raises(OSError, execute.check_executable, "") + self.assertIsNone(execute.check_executable("/bin/ls")) diff --git a/shapepipe/tests/test_utilities.py b/shapepipe/tests/test_utilities.py index d5c02233a..83d624108 100644 --- a/shapepipe/tests/test_utilities.py +++ b/shapepipe/tests/test_utilities.py @@ -45,22 +45,22 @@ def test_sigma_to_fwhm(self): npt.assert_almost_equal( galaxy.sigma_to_fwhm(self.sigma_float), self.sigma_float_exp, - err_msg='sigma_to_fwhm gave invalid result for float input', + err_msg="sigma_to_fwhm gave invalid result for float input", ) npt.assert_almost_equal( galaxy.sigma_to_fwhm(self.sigma_float, self.pixel_scale), self.sigma_float_ps_exp, err_msg=( - 'sigma_to_fwhm gave invalid result for float input with ' - + 'non-default pixel scale' + "sigma_to_fwhm gave invalid result for float input with " + + "non-default pixel scale" ), ) npt.assert_allclose( galaxy.sigma_to_fwhm(self.sigma_array), self.sigma_array_exp, - err_msg='sigma_to_fwhm gave invalid result for array input', + err_msg="sigma_to_fwhm gave invalid result for array input", ) npt.assert_raises(TypeError, galaxy.sigma_to_fwhm, self.sigma_int) diff --git a/shapepipe/utilities/__init__.py b/shapepipe/utilities/__init__.py index 63b425136..15e59739c 100644 --- a/shapepipe/utilities/__init__.py +++ b/shapepipe/utilities/__init__.py @@ -7,4 +7,4 @@ """ -__all__ = ['file_system', 'cfis', 'galaxy'] +__all__ = ["file_system", "cfis", "galaxy"] diff --git a/shapepipe/utilities/cfis.py b/shapepipe/utilities/cfis.py index c8cdcb7a5..0d94b3be3 100644 --- a/shapepipe/utilities/cfis.py +++ b/shapepipe/utilities/cfis.py @@ -18,17 +18,17 @@ from shapepipe.utilities.file_system import mkdir -unitdef = 'degree' +unitdef = "degree" # Maybe define class for these constants? size = {} -size['tile'] = 0.5 -size['weight'] = 0.5 -size['exposure'] = 1.0 +size["tile"] = 0.5 +size["weight"] = 0.5 +size["exposure"] = 1.0 # Cut criteria for exposures exp_time_min = 95 -flag_valid = 'V' +flag_valid = "V" class param: @@ -60,7 +60,7 @@ class CfisError(Exception): pass -class image(): +class image: """Image Class. Class to store and create image information. @@ -80,7 +80,7 @@ class image(): """ - def __init__(self, name, ra, dec, exp_time=-1, valid='Unknown'): + def __init__(self, name, ra, dec, exp_time=-1, valid="Unknown"): self.name = name self.ra = ra self.dec = dec @@ -89,7 +89,7 @@ def __init__(self, name, ra, dec, exp_time=-1, valid='Unknown'): else: self.exp_time = exp_time if valid is None: - self.valid = 'Unknown' + self.valid = "Unknown" else: self.valid = valid @@ -119,7 +119,7 @@ def cut(self, no_cuts=False): return True # Cut if validation flag is not valid (and not unknown) - if self.valid != flag_valid and self.valid != 'Unknown': + if self.valid != flag_valid and self.valid != "Unknown": return True return False @@ -140,18 +140,14 @@ def get_ID(self): if name does not match to ID pattern """ - m = re.search(r'(\d{3}).{1}(\d{3})', self.name) + m = re.search(r"(\d{3}).{1}(\d{3})", self.name) if m is None: - raise ValueError(f'No ID match in file name {name}') + raise ValueError(f"No ID match in file name {name}") else: - return f'{m[1]}.{m[2]}' + return f"{m[1]}.{m[2]}" def print( - self, - file=sys.stdout, - base_name=False, - name_only=True, - ID_only=False + self, file=sys.stdout, base_name=False, name_only=True, ID_only=False ): """Print. @@ -180,21 +176,21 @@ def print( name = self.name if ID_only: - m = re.search(r'\d{3}.\d{3}', name) + m = re.search(r"\d{3}.\d{3}", name) if m is None: - raise ValueError(f'No ID match in file name {name}') + raise ValueError(f"No ID match in file name {name}") else: name = m[0] - print(name, end='', file=file) + print(name, end="", file=file) if not name_only: if self.ra is not None: ra_unit = getattr(self.ra, unitdef) - print(f' {ra_unit:10.2f}', end='', file=file) + print(f" {ra_unit:10.2f}", end="", file=file) if self.dec is not None: dec_unit = getattr(self.dec, unitdef) - print(f' {dec_unit:10.2f}', end='', file=file) - print(f' {self.exp_time:5d} {self.valid:8s}', end='', file=file) + print(f" {dec_unit:10.2f}", end="", file=file) + print(f" {self.exp_time:5d} {self.valid:8s}", end="", file=file) print(file=file) def print_header(self, file=sys.stdout): @@ -209,8 +205,8 @@ def print_header(self, file=sys.stdout): """ print( - f'#Name ra[{unitdef}] dec[{unitdef}] exp_time[s] validation', - file=file + f"#Name ra[{unitdef}] dec[{unitdef}] exp_time[s] validation", + file=file, ) @@ -237,30 +233,30 @@ def log_command(argv, name=None, close_no_return=True): """ if name is None: - name = 'log_' + os.path.basename(argv[0]) + name = "log_" + os.path.basename(argv[0]) - if name == 'sys.stdout': + if name == "sys.stdout": f = sys.stdout - elif name == 'sys.stderr': + elif name == "sys.stderr": f = sys.stderr else: - f = open(name, 'w') + f = open(name, "w") for a in argv: # Quote argument if special characters - if ']' in a or ']' in a: - a = f'\"{a}\"' + if "]" in a or "]" in a: + a = f'"{a}"' - print(a, end='', file=f) - print(' ', end='', file=f) + print(a, end="", file=f) + print(" ", end="", file=f) - print('', file=f) + print("", file=f) if not close_no_return: return f - if name != 'sys.stdout' and name != 'sys.stderr': + if name != "sys.stdout" and name != "sys.stderr": f.close() @@ -301,30 +297,30 @@ def my_string_split(string, num=-1, verbose=False, stop=False, sep=None): return None if sep is None: - has_space = string.find(' ') - has_underscore = string.find('_') - has_dot = string.find('.') + has_space = string.find(" ") + has_underscore = string.find("_") + has_dot = string.find(".") if has_space != -1: - my_sep = ' ' + my_sep = " " elif has_underscore != -1: - my_sep = '_' + my_sep = "_" elif has_dot != -1: - my_sep = '.' + my_sep = "." else: # no separator found, does string consist of only one element? if num == -1 or num == 1: my_sep = None else: raise Valueerror( - 'No separator (\' \', \'_\', or \'.\') found in string' - + f' \'{string}\', cannot split' + "No separator (' ', '_', or '.') found in string" + + f" '{string}', cannot split" ) else: if not string.find(sep): raise ValueError( - f'No separator \'{sep}\' found in string \'{string}\', ' - + 'cannot split' + f"No separator '{sep}' found in string '{string}', " + + "cannot split" ) my_sep = sep @@ -332,7 +328,7 @@ def my_string_split(string, num=-1, verbose=False, stop=False, sep=None): if num != -1 and num != len(res) and stop: raise CfisError( - f'String \'{len(res)}\' has length {num}, required is {num}' + f"String '{len(res)}' has length {num}, required is {num}" ) return res @@ -364,46 +360,46 @@ def get_file_pattern(pattern, band, image_type, want_re=True, ext=True): output pattern """ - if pattern == '': + if pattern == "": if image_type in ( - 'exposure', - 'exposure_flag', - 'exposure_flag.fz', - 'exposure_weight', - 'exposure_weight.fz' + "exposure", + "exposure_flag", + "exposure_flag.fz", + "exposure_weight", + "exposure_weight.fz", ): - pattern_base = r'\d{7}p' + pattern_base = r"\d{7}p" else: - pattern_base = rf'CFIS.*\.{band}' + pattern_base = rf"CFIS.*\.{band}" else: pattern_base = pattern if ext: - if image_type == 'exposure': - pattern_out = rf'{pattern_base}\.fits\.fz' - elif image_type == 'exposure_flag': - pattern_out = rf'{pattern_base}\.flag\.fits' - elif image_type == 'exposure_flag.fz': - pattern_out = rf'{pattern_base}\.flag\.fits\.fz' - elif image_type == 'exposure_weight': - pattern_out = rf'{pattern_base}\.weight\.fits' - elif image_type == 'exposure_weight.fz': - pattern_out = rf'{pattern_base}\.weight\.fits\.fz' - elif image_type == 'tile': - pattern_out = rf'{pattern_base}\.fits' - elif image_type == 'cat': - pattern_out = rf'{pattern_base}\.cat' - elif image_type == 'weight': - pattern_out = rf'{pattern_base}\.weight\.fits' - elif image_type == 'weight.fz': - pattern_out = rf'{pattern_base}\.weight\.fits\.fz' + if image_type == "exposure": + pattern_out = rf"{pattern_base}\.fits\.fz" + elif image_type == "exposure_flag": + pattern_out = rf"{pattern_base}\.flag\.fits" + elif image_type == "exposure_flag.fz": + pattern_out = rf"{pattern_base}\.flag\.fits\.fz" + elif image_type == "exposure_weight": + pattern_out = rf"{pattern_base}\.weight\.fits" + elif image_type == "exposure_weight.fz": + pattern_out = rf"{pattern_base}\.weight\.fits\.fz" + elif image_type == "tile": + pattern_out = rf"{pattern_base}\.fits" + elif image_type == "cat": + pattern_out = rf"{pattern_base}\.cat" + elif image_type == "weight": + pattern_out = rf"{pattern_base}\.weight\.fits" + elif image_type == "weight.fz": + pattern_out = rf"{pattern_base}\.weight\.fits\.fz" else: - raise CfisError(f'Invalid type \'{image_type}\'') + raise CfisError(f"Invalid type '{image_type}'") else: pattern_out = pattern_base if not want_re: - pattern_out = pattern_out.replace('\\', '') + pattern_out = pattern_out.replace("\\", "") return pattern_out @@ -443,13 +439,13 @@ def get_tile_number_from_coord(ra, dec, return_type=str): xi = 0 if return_type == str: - nix = f'{xi:03d}' - niy = f'{yi:03d}' + nix = f"{xi:03d}" + niy = f"{yi:03d}" elif return_type == int: nix = xi niy = yi else: - raise CfisError(f'Invalid return type {return_type}') + raise CfisError(f"Invalid return type {return_type}") return nix, niy @@ -482,14 +478,14 @@ def get_tile_coord_from_nixy(nix, niy): yi = int(niy) d = yi / 2 - 90 - dec = coords.Angle(d, unit='deg') + dec = coords.Angle(d, unit="deg") r = xi / 2 / np.cos(dec.radian) - ra = coords.Angle(r, unit='deg') + ra = coords.Angle(r, unit="deg") return ra, dec -def get_tile_name(nix, niy, band, image_type='tile', input_format='full'): +def get_tile_name(nix, niy, band, image_type="tile", input_format="full"): """Get Tile Name. Return tile name for given tile numbers. @@ -519,29 +515,29 @@ def get_tile_name(nix, niy, band, image_type='tile', input_format='full'): """ if type(nix) is int and type(niy) is int: - if input_format == 'ID_only': - tile_base = f'{nix:03d}.{niy:03d}' + if input_format == "ID_only": + tile_base = f"{nix:03d}.{niy:03d}" else: - tile_base = f'CFIS.{nix:03d}.{niy:03d}.{band}' + tile_base = f"CFIS.{nix:03d}.{niy:03d}.{band}" elif type(nix) is str and type(niy) is str: - if input_format == 'ID_only': - tile_base = f'{nix}.{niy}' + if input_format == "ID_only": + tile_base = f"{nix}.{niy}" else: - tile_base = f'CFIS.{nix}.{niy}.{band}' + tile_base = f"CFIS.{nix}.{niy}.{band}" else: - raise CfisError(f'Invalid type for input tile numbers {nix}, {niy}') + raise CfisError(f"Invalid type for input tile numbers {nix}, {niy}") - if input_format == 'ID_only': + if input_format == "ID_only": tile_name = tile_base else: - if image_type == 'tile': - tile_name = f'{tile_base}.fits' - elif image_type == 'weight': - tile_name = f'{tile_base}.weight.fits' - elif image_type == 'weight.fz': - tile_name = f'{tile_base}.weight.fits.fz' + if image_type == "tile": + tile_name = f"{tile_base}.fits" + elif image_type == "weight": + tile_name = f"{tile_base}.weight.fits" + elif image_type == "weight.fz": + tile_name = f"{tile_base}.weight.fits.fz" else: - raise CfisError(f'Invalid image type {image_type}') + raise CfisError(f"Invalid image type {image_type}") return tile_name @@ -567,10 +563,10 @@ def get_tile_number(tile_name): tile number for x and tile number for y """ - m = re.search(r'(\d{3})[\.-](\d{3})', tile_name) + m = re.search(r"(\d{3})[\.-](\d{3})", tile_name) if m is None or len(m.groups()) != 2: raise CfisError( - f'Image name \'{tile_name}\' does not match tile name syntax' + f"Image name '{tile_name}' does not match tile name syntax" ) nix = m.groups()[0] @@ -629,12 +625,12 @@ def get_log_file(path, verbose=False): """ if not os.path.isfile(path): - raise CfisError(f'Log file \'{path}\' not found') + raise CfisError(f"Log file '{path}' not found") - f_log = open(path, 'r') + f_log = open(path, "r") log = f_log.readlines() if verbose: - print(f'Reading log file, {len(log)} lines found') + print(f"Reading log file, {len(log)} lines found") f_log.close() return log @@ -663,7 +659,7 @@ def check_ra(ra): """ print(ra.deg) if ra.deg < 0 or ra.deg > 360: - raise CfisError('Invalid ra, valid range is 0 < ra < 360 deg') + raise CfisError("Invalid ra, valid range is 0 < ra < 360 deg") return 1 return 0 @@ -691,7 +687,7 @@ def check_dec(dec): """ if dec.deg < -90 or dec.deg > 90: - raise CfisError('Invalid dec, valid range is -90 < dec < 90 deg') + raise CfisError("Invalid dec, valid range is -90 < dec < 90 deg") return 1 return 0 @@ -744,10 +740,7 @@ def get_Angle_arr(str_coord, num=-1, wrap=True, verbose=False): """ angles_mixed = my_string_split( - str_coord, - num=num, - verbose=verbose, - stop=True + str_coord, num=num, verbose=verbose, stop=True ) n = len(angles_mixed) n = int(n / 2) @@ -784,12 +777,13 @@ def read_list(fname, col=None): """ if col is None: - f = open(fname, 'rU', encoding='latin1') + f = open(fname, "rU", encoding="latin1") file_list = [x.strip() for x in f.readlines()] f.close() else: import pandas as pd - dat = pd.read_csv(fname, sep=r'\s+', dtype='string', header=None) + + dat = pd.read_csv(fname, sep=r"\s+", dtype="string", header=None) if col not in dat: col = int(col) file_list = dat[col] @@ -827,17 +821,17 @@ def create_image_list(fname, ra, dec, exp_time=[], valid=[]): nr = len(ra) nd = len(dec) if nf == 0: - raise CfisError('No entries in file name list') + raise CfisError("No entries in file name list") if (nf != nr or nf != nd) and nr != 0 and nd != 0: raise CfisError( - f'Lists fname, ra, dec have not same length ({nf}, {nr}, {nd})' + f"Lists fname, ra, dec have not same length ({nf}, {nr}, {nd})" ) images = [] for i in range(nf): if nr > 0 and nd > 0: - r = Angle(f'{ra[i]} {unitdef}') - d = Angle(f'{dec[i]} {unitdef}') + r = Angle(f"{ra[i]} {unitdef}") + d = Angle(f"{dec[i]} {unitdef}") else: r = None d = None @@ -856,12 +850,7 @@ def create_image_list(fname, ra, dec, exp_time=[], valid=[]): def get_image_list( - inp, - band, - image_type, - col=None, - input_format='full', - verbose=False + inp, band, image_type, col=None, input_format="full", verbose=False ): """Get Image List. @@ -897,29 +886,29 @@ def get_image_list( if os.path.isdir(inp): if col is not None: raise CfisError( - 'Column name (-c option) only valid if input is file' + "Column name (-c option) only valid if input is file" ) # Read file names from directory listing - inp_type = 'dir' - file_list = glob.glob(f'{os.path.abspath(inp)}/*') + inp_type = "dir" + file_list = glob.glob(f"{os.path.abspath(inp)}/*") elif os.path.isfile(inp): - if image_type in ('tile', 'weight', 'weight.fz'): + if image_type in ("tile", "weight", "weight.fz"): # File names in single-column ascii file - inp_type = 'file' + inp_type = "file" file_list = read_list(inp, col=col) - elif image_type == 'exposure': + elif image_type == "exposure": # File names and coordinates in ascii file - inp_type = 'file' + inp_type = "file" dat = ascii.read(inp) if len(dat.keys()) == 3: # File is exposure + coord list # (obtained from get_coord_CFIS_pointings.py) - file_list = dat['Pointing'] - ra_list = dat['R.A.[degree]'] - dec_list = dat['Declination[degree]'] + file_list = dat["Pointing"] + ra_list = dat["R.A.[degree]"] + dec_list = dat["Declination[degree]"] elif len(dat.keys()) == 12: # File is log file, e.g. from # http://www.cfht.hawaii.edu/Science/CFIS-DATA @@ -927,41 +916,35 @@ def get_image_list( # Default file separator is '|' for d in dat: file_list.append(f'd{d["col1"]}p.fits.fz') - ra = re.split(r'\s*', d['col4'])[0] - dec = re.split(r'\s*', d['col4'])[1] - ang = coords.Angle('{ra} hours') + ra = re.split(r"\s*", d["col4"])[0] + dec = re.split(r"\s*", d["col4"])[1] + ang = coords.Angle("{ra} hours") ra_list.append(ang.degree) dec_list.append(dec) - exp_time = int(d['col5']) + exp_time = int(d["col5"]) exp_time_list.append(exp_time) - valid = re.split(r'\s*', d['col11'])[2] + valid = re.split(r"\s*", d["col11"])[2] valid_list.append(valid) else: raise CfisError( - f'Wrong file format, #columns={len(dat.keys())},' - + f' has to be 3 or 12' + f"Wrong file format, #columns={len(dat.keys())}," + + f" has to be 3 or 12" ) else: - raise CfisError(f'Image type \'{image_type}\' not supported') + raise CfisError(f"Image type '{image_type}' not supported") # Create list of objects, coordinate lists can be empty image_list = create_image_list( - file_list, - ra_list, - dec_list, - exp_time=exp_time_list, - valid=valid_list + file_list, ra_list, dec_list, exp_time=exp_time_list, valid=valid_list ) # Filter file list to match CFIS image pattern img_list = [] - if input_format == 'ID_only': - pattern = get_file_pattern(r'\d{3}.\d{3}', band, image_type, ext=False) + if input_format == "ID_only": + pattern = get_file_pattern(r"\d{3}.\d{3}", band, image_type, ext=False) else: pattern = get_file_pattern( - rf'CFIS.\d{{3}}.\d{{3}}\.{band}', - band, - image_type + rf"CFIS.\d{{3}}.\d{{3}}\.{band}", band, image_type ) for img in image_list: @@ -979,9 +962,7 @@ def get_image_list( img_list.append(img) if verbose and len(img_list) > 0: - print( - f'{len(img_list)} image files found in input {inp_type} \'{inp}\'' - ) + print(f"{len(img_list)} image files found in input {inp_type} '{inp}'") return img_list @@ -1013,8 +994,8 @@ def find_image_at_coord( band, image_type, no_cuts=False, - input_format='full', - verbose=False + input_format="full", + verbose=False, ): """Find Image At Coordinates. @@ -1055,16 +1036,12 @@ def find_image_at_coord( ra, dec = get_Angle(coord) if verbose: - print(f'Looking for image at coordinates {ra}, {dec}') + print(f"Looking for image at coordinates {ra}, {dec}") - if image_type in ('tile', 'weight', 'weight.fz'): + if image_type in ("tile", "weight", "weight.fz"): nix, niy = get_tile_number_from_coord(ra, dec, return_type=int) tile_name = get_tile_name( - nix, - niy, - band, - image_type, - input_format=input_format + nix, niy, band, image_type, input_format=input_format ) img_found = [] @@ -1074,9 +1051,9 @@ def find_image_at_coord( ra_c, dec_c = get_tile_coord_from_nixy(nix, niy) if img.ra is not None or img.dec is not None: raise CfisError( - 'Coordinates in image are already ' - + f'set to {img.ra}, {img.rec}, ' - + f'cannot update to {ra_c}, {ra_dec}' + "Coordinates in image are already " + + f"set to {img.ra}, {img.rec}, " + + f"cannot update to {ra_c}, {ra_dec}" ) img.ra = ra_c img.dec = dec_c @@ -1086,12 +1063,12 @@ def find_image_at_coord( pass else: if verbose: - print(f'Tile with numbers ({nix}, {niy}) not found') + print(f"Tile with numbers ({nix}, {niy}) not found") if len(img_found) > 1: - raise CfisError(f'More than one tile ({img_found}) found') + raise CfisError(f"More than one tile ({img_found}) found") - elif image_type == 'exposure': + elif image_type == "exposure": sc_input = coords.SkyCoord(ra, dec) img_found = [] @@ -1112,21 +1089,16 @@ def find_image_at_coord( pass else: if verbose: - print('No exposure image found') + print("No exposure image found") else: - raise CfisError('Only implemented for image_type=tile') + raise CfisError("Only implemented for image_type=tile") return img_found def find_images_in_area( - images, - angles, - band, - image_type, - no_cuts=False, - verbose=False + images, angles, band, image_type, no_cuts=False, verbose=False ): """Fine Images In Area. @@ -1164,22 +1136,22 @@ def find_images_in_area( if angles[1].ra > threesixty: ra_bounds = [ [angles[0].ra, threesixty], - [coords.Angle(0, unitdef), angles[1].ra - threesixty] + [coords.Angle(0, unitdef), angles[1].ra - threesixty], ] else: ra_bounds = [[angles[0].ra, angles[1].ra]] if verbose: print( - 'Looking for all images within rectangle, ' - + f'dec=({angles[0].dec}, {angles[1].dec}), ', - end='' + "Looking for all images within rectangle, " + + f"dec=({angles[0].dec}, {angles[1].dec}), ", + end="", ) for ra_min_max in ra_bounds: - print(f'ra=[({ra_min_max[0]}, {ra_min_max[1]}) ', end='') + print(f"ra=[({ra_min_max[0]}, {ra_min_max[1]}) ", end="") print() - if image_type in ('tile', 'weight', 'weight.fz'): + if image_type in ("tile", "weight", "weight.fz"): for img in images: nix, niy = get_tile_number(img.name) ra, dec = get_tile_coord_from_nixy(nix, niy) @@ -1188,7 +1160,7 @@ def find_images_in_area( within = False # Check whether image is in any of the ra bound pairs - for (ra_min, ra_max) in ra_bounds: + for ra_min, ra_max in ra_bounds: if ra.is_within_bounds(ra_min, ra_max): within = True break @@ -1199,13 +1171,13 @@ def find_images_in_area( found.append(img) - elif image_type == 'exposure': + elif image_type == "exposure": for img in images: if img.dec.is_within_bounds(angles[0].dec, angles[1].dec): within = False # Check whether image is in any of the ra bound pairs - for (ra_min, ra_max) in ra_bounds: + for ra_min, ra_max in ra_bounds: if ra.is_within_bounds(ra_min, ra_max): within = True break @@ -1214,10 +1186,10 @@ def find_images_in_area( found.append(img) else: - raise CfisError(f'Image type \'{image_type}\' not implemented yet') + raise CfisError(f"Image type '{image_type}' not implemented yet") if verbose: - print(f'{len(found)} images found in area') + print(f"{len(found)} images found in area") return found @@ -1235,9 +1207,9 @@ def plot_init(): ax.yaxis.label.set_size(fs) ax.xaxis.label.set_size(fs) - plt.tick_params(axis='both', which='major', labelsize=fs) + plt.tick_params(axis="both", which="major", labelsize=fs) - plt.rcParams.update({'figure.autolayout': True}) + plt.rcParams.update({"figure.autolayout": True}) return ax @@ -1255,7 +1227,7 @@ def plot_area( ax=None, lw=None, save=True, - dxy=0 + dxy=0, ): """Plot Area. @@ -1292,15 +1264,15 @@ def plot_area( """ if outbase is None: - outname = 'plot.pdf' + outname = "plot.pdf" else: - outname = f'{outbase}.pdf' + outname = f"{outbase}.pdf" if not lw: my_lw = 0.1 else: my_lw = lw - color = {'tile': 'b', 'exposure': 'g', 'weight': 'r'} + color = {"tile": "b", "exposure": "g", "weight": "r"} if not ax: ax = plot_init() @@ -1322,16 +1294,16 @@ def plot_area( dy = abs(angles[0].dec - angles[1].dec) dx = getattr(dx, unitdef) dy = getattr(dy, unitdef) - radius = ( - max(dx, dy) / 2 + (size['exposure'] + size['tile']) * np.sqrt(2) + radius = max(dx, dy) / 2 + (size["exposure"] + size["tile"]) * np.sqrt( + 2 ) circle = plt.Circle( (ra_c.deg, dec_c.deg), radius, - color='r', + color="r", fill=False, ) - plt.plot(ra_c, dec_c, 'or', mfc='none', ms=3) + plt.plot(ra_c, dec_c, "or", mfc="none", ms=3) ax.add_artist(circle) else: radius = 0 @@ -1349,24 +1321,24 @@ def plot_area( plt.text( x, y, - f'{nix}.{niy}', + f"{nix}.{niy}", fontsize=3, - horizontalalignment='center', - verticalalignment='center' + horizontalalignment="center", + verticalalignment="center", ) # Image boundary dx = size[image_type] / 2 / cos_dec_c dy = size[image_type] / 2 cx, cy = square_from_centre(x, y, dx, dy, dxy=dxy) - ax.plot(cx, cy, '-', color=c, linewidth=my_lw) + ax.plot(cx, cy, "-", color=c, linewidth=my_lw) if show_area_border: cx, cy = square_from_corners(angles[0], angles[1]) - ax.plot(cx, cy, 'r-.', linewidth=my_lw) + ax.plot(cx, cy, "r-.", linewidth=my_lw) - plt.xlabel('R.A. [degree]') - plt.ylabel('Declination [degree]') + plt.xlabel("R.A. [degree]") + plt.ylabel("Declination [degree]") if outbase is not None: plt.title(outbase) @@ -1385,7 +1357,7 @@ def plot_area( plt.ylim(ym - lim / 2 - border, ym + lim / 2 + border) if save: - print(f'Saving plot to {outname}') + print(f"Saving plot to {outname}") plt.savefig(outname) if interactive: diff --git a/shapepipe/utilities/file_system.py b/shapepipe/utilities/file_system.py index 52f5fd906..603800ee7 100644 --- a/shapepipe/utilities/file_system.py +++ b/shapepipe/utilities/file_system.py @@ -37,7 +37,7 @@ def check_dir(dir_name): """ if not isinstance(dir_name, str): raise TypeError( - f'Directory name must be of type string, not {type(dir_name)}' + f"Directory name must be of type string, not {type(dir_name)}" ) return os.path.isdir(dir_name) @@ -71,5 +71,5 @@ def mkdir(dir_name, check_created=True, exist_ok=True): if check_created and not check_dir(dir_name): raise FileSystemError( - f'Directory \"{dir_name}\" not found after mkdir command.' + f'Directory "{dir_name}" not found after mkdir command.' ) diff --git a/shapepipe/utilities/galaxy.py b/shapepipe/utilities/galaxy.py index eb05c4bc2..40948a8f1 100644 --- a/shapepipe/utilities/galaxy.py +++ b/shapepipe/utilities/galaxy.py @@ -61,32 +61,32 @@ def sigma_to_fwhm(sigma, pixel_scale=1.0): """ if not isinstance(sigma, (np.ndarray, float)): raise TypeError( - f'Sigma must be of type numpy array or float, not {type(sigma)}.' + f"Sigma must be of type numpy array or float, not {type(sigma)}." ) elif isinstance(sigma, np.ndarray) and sigma.dtype != np.float64: raise TypeError( - f'Sigma array values must be of type float, not {sigma.dtype}.' + f"Sigma array values must be of type float, not {sigma.dtype}." ) if not isinstance(pixel_scale, float): raise TypeError( - f'The pixel scale must of type float, not {type(pixel_scale)}.' + f"The pixel scale must of type float, not {type(pixel_scale)}." ) if isinstance(sigma, np.ndarray) and np.any(sigma <= 0.0): raise ValueError( - f'Found {sigma[sigma <=0].size} invalid standard deviation array ' - + 'values, all elements must to be greater than 0.0.' + f"Found {sigma[sigma <=0].size} invalid standard deviation array " + + "values, all elements must to be greater than 0.0." ) elif isinstance(sigma, float) and sigma <= 0.0: raise ValueError( - f'Invalid standard deviation {sigma}, needs to be greater than ' - + '0.0.' + f"Invalid standard deviation {sigma}, needs to be greater than " + + "0.0." ) if pixel_scale <= 0.0: raise ValueError( - f'Invalid pixel scale {pixel_scale}, needs to be greater than 0.0.' + f"Invalid pixel scale {pixel_scale}, needs to be greater than 0.0." ) cst = 2.35482004503 diff --git a/shapepipe/utilities/summary.py b/shapepipe/utilities/summary.py index 8977a5d66..f19a11a31 100755 --- a/shapepipe/utilities/summary.py +++ b/shapepipe/utilities/summary.py @@ -70,7 +70,6 @@ def get_IDs_from_file(path): return numbers - def get_all_exposures(exp_number_file_list, verbose=False): """Get All Exposures. @@ -187,7 +186,7 @@ def check_special(module, paths_in_dir, names_in_dir): print(f"b stars = {value}, not special") break - #print(inds_special) + # print(inds_special) for idx in inds_special: paths_in_dir.pop(idx) names_in_dir.pop(idx) @@ -217,7 +216,7 @@ class job_data(object): pattern: list, optional if not None, file pattern to match; defafult is `None` path_main: str, optional - main (left-most) part of output directory, default is "." + main (left-most) part of output directory, default is "." path_left: str, optional left (first) part of output directory, default is "./output" output_subdirs: str, optional @@ -232,6 +231,7 @@ class job_data(object): verbose output if True; default is False """ + def __init__( self, bit, @@ -256,10 +256,8 @@ def __init__( self._path_main = path_main self._path_left = path_left self._output_subdirs = output_subdirs or [""] - self._path_right = set_as_list( - path_right, len(modules), default="." - ) - self._output_path_missing_IDs=output_path_missing_IDs + self._path_right = set_as_list(path_right, len(modules), default=".") + self._output_path_missing_IDs = output_path_missing_IDs self._verbose = verbose def print_intro(self): @@ -277,9 +275,9 @@ def print_stats_header(self): Print overall header information for stats output. """ - #logging.info( - #"module expected found miss_expl" - #+ " missing uniq_miss fr_found" + # logging.info( + # "module expected found miss_expl" + # + " missing uniq_miss fr_found" logging.info( "module expected found" + " missing uniq_miss fr_found" @@ -333,9 +331,9 @@ def print_stats( def is_ID_in_str(self, ID, path): if ID in path: return True - #if re.sub("\.", "-", ID) in path: - #return True - #return False + # if re.sub("\.", "-", ID) in path: + # return True + # return False @classmethod def is_not_in_any(self, ID, list_str): @@ -353,7 +351,7 @@ def replace_dash_dot_if_tile(self, numbers): pattern = re.compile(r"(\d{3})-(\d{3})") results = [pattern.sub(r"\1.\2", number) for number in numbers] - + return results @classmethod @@ -411,21 +409,17 @@ def output_missing( n_mult = self._n_mult[idx] list_expected = get_par_runtime(par_runtime, key_expected, kind="list") - + # Count image IDs in names that were found earlier ## Extract image IDs from names IDs = [] if module != "split_exp_runner": - pattern = re.compile( - r"(?:\d{3}-\d{3}|\d{7}-\d+|\d{7})" - ) + pattern = re.compile(r"(?:\d{3}-\d{3}|\d{7}-\d+|\d{7})") else: # split_exp_runner: input is exp, output is shdu (images) and exp # (header); ignore hdu number - pattern = re.compile( - r"(?:\d{3}-\d{3}|\d{7})" - ) + pattern = re.compile(r"(?:\d{3}-\d{3}|\d{7})") for name, path in zip(names_in_dir, paths_in_dir): match = pattern.search(name) if match: @@ -497,7 +491,7 @@ def get_module_output_dir(self, full_path, module): """ directory = f"{full_path}/{module}/output" - # Some modules have special requirements + # Some modules have special requirements if module == "setools_runner": directory = f"{directory}/rand_split" @@ -509,13 +503,11 @@ def get_matches_final(self, directory, idx): # os.path.whether exists is twice faster than try/except if os.path.exists(directory): - pattern = f"{self._pattern[idx]}*" + pattern = f"{self._pattern[idx]}*" for entry2 in os.scandir(directory): if ( entry2.is_file() - and ( - fnmatch.fnmatch(entry2.name, pattern) - ) + and (fnmatch.fnmatch(entry2.name, pattern)) and entry2.stat().st_size > 0 ): # Append matching files @@ -566,9 +558,7 @@ def get_names_in_dir(self, iterable, module, idx): ) # Get module output directory - directory = self.get_module_output_dir( - full_path, module - ) + directory = self.get_module_output_dir(full_path, module) if self._verbose: print(f"**** Output dir = {directory}") @@ -686,7 +676,7 @@ def check_numbers(self, par_runtime=None, indices=None): logging.info("") # Write missing IDs for entire job to file - #if n_missing_job > 0: + # if n_missing_job > 0: self.output_missing_job() @@ -719,7 +709,7 @@ def print_par_runtime(par_runtime, verbose=True): if not key.startswith("list"): logging.info(f"{key:30s} {value:6d}") else: - #logging.info(f"{key:30s} {len(value):6d} entries") + # logging.info(f"{key:30s} {len(value):6d} entries") pass logging.info("===========") logging.info("") From a64ff7fcc6114d1e88e631635e45646b39347298 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Tue, 25 Jun 2024 08:37:21 +0000 Subject: [PATCH 072/217] small modifs to make thing smoother --- docs/source/pipeline_canfar.md | 19 +- example/cfis/config_exp_SpMh.ini | 2 +- install_shapepipe | 655 ------------------------------- scripts/sh/curl_canfar_local.sh | 4 +- 4 files changed, 12 insertions(+), 668 deletions(-) delete mode 100755 install_shapepipe diff --git a/docs/source/pipeline_canfar.md b/docs/source/pipeline_canfar.md index 6f4f4f3e0..9b169c55f 100644 --- a/docs/source/pipeline_canfar.md +++ b/docs/source/pipeline_canfar.md @@ -1,6 +1,5 @@ patch="P7" psf="psfex" -N_SMP=16 # Terminal title echo -ne "\033]0;$patch\007" @@ -50,12 +49,12 @@ while true; do shapepipe_run -c cfis/config_Gie_vos.ini; ls -l data_exp/ | wc; m job_sp_canfar.bash -p $psf `cat tile_numbers.txt` -j 1 -r symlink # Uncompress weights, split exposures into single HDUs -job_sp_canfar.bash -p $psf -n $N_SMP -j 2 +job_sp_canfar.bash -p $psf -n $OMP_NUM_THREADS -j 2 # Mask tiles ## Run repeatedly if necessary -job_sp_canfar.bash -p $psf -n $N_SMP -j 4 +job_sp_canfar.bash -p $psf -n $OMP_NUM_THREADS -j 4 ## Combine all runs combine_runs.bash -c flag_tile @@ -63,14 +62,14 @@ combine_runs.bash -c flag_tile # Mask exposures ## Run repeatedly if necessary -job_sp_canfar.bash -p $psf -n $N_SMP -j 8 +job_sp_canfar.bash -p $psf -n $OMP_NUM_THREADS -j 8 # Combine all runs combine_runs.bash -c flag_exp # Tile detection -curl_canfar_local.sh -j 16 -f tile_numbers.txt -p $psf -N $N_SMP +curl_canfar_local.sh -j 16 -f tile_numbers.txt -p $psf -N $OMP_NUM_THREADS # Exposure detection @@ -78,19 +77,19 @@ curl_canfar_local.sh -j 16 -f tile_numbers.txt -p $psf -N $N_SMP ~/shapepipe/scripts/python/summary_run.py cp summary/missing_job_32_sextractor.txt all.txt -curl_canfar_local.sh -j 32 -f all.txt -p $psf -N $N_SMP +curl_canfar_local.sh -j 32 -f all.txt -p $psf -N $OMP_NUM_THREADS # Tile preparation -curl_canfar_local.sh -j 64 -f tile_numbers.txt -p $psf -N $N_SMP +curl_canfar_local.sh -j 64 -f tile_numbers.txt -p $psf -N $OMP_NUM_THREADS # Tile shape measurement curl_canfar_local.sh -j 128 -f tile_numbers.txt -p $psf -N 8 # Merge subcatalogues -curl_canfar_local.sh -j 256 -f tile_numbers.txt -p $psf -N $N_SMP +curl_canfar_local.sh -j 256 -f tile_numbers.txt -p $psf -N 8 # Create final cat -curl_canfar_local.sh -j 512 -f tile_numbers.txt -p $psf -N $N_SMP +curl_canfar_local.sh -j 512 -f tile_numbers.txt -p $psf -N $OMP_NUM_THREADS # Run in parallel cat mc.txt | xargs -I {} -P 16 bash -c 'init_run_exclusive_canfar.sh -p psfex -j 512 -e {} --n_smp 1' @@ -128,7 +127,7 @@ SESSION=https://ws-uv.canfar.net/skaha/v0/session for ID in `cat session_IDs.txt`; do echo $ID; curl -X DELETE -E $SSL $SESSION/$ID; done ## Run in terminal in parallel (-e needs to be last arg) -cat all.txt | xargs -P 16 -n 1 init_run_exclusive_canfar.sh -j 64 -p psfex -f summary/missing_job_64_all.txt -n -e +cat all.txt | xargs -P 16 -n 1 init_run_exclusive_canfar.sh -j 64 -p psfex -n -e ## Get missing jobs that are not currently running stats_jobs_canfar.sh diff --git a/example/cfis/config_exp_SpMh.ini b/example/cfis/config_exp_SpMh.ini index add375bfd..b05b8f0c2 100644 --- a/example/cfis/config_exp_SpMh.ini +++ b/example/cfis/config_exp_SpMh.ini @@ -12,7 +12,7 @@ VERBOSE = True RUN_NAME = run_sp_exp_SpMh # Add date and time to RUN_NAME, optional, default: True -; RUN_DATETIME = False +RUN_DATETIME = False ## ShapePipe execution options diff --git a/install_shapepipe b/install_shapepipe deleted file mode 100755 index e6ac4ad20..000000000 --- a/install_shapepipe +++ /dev/null @@ -1,655 +0,0 @@ -#!/usr/bin/env bash -export LC_ALL=en_US.UTF-8 -export LC_CTYPE=en_US.utf8 - -############################################################################## -# Install ShapePipe Executables -# -# This script can only be run after the ShapePipe environment has been -# installed. -# -############################################################################## - -version="1.6" -last_update="08/03/22" - -############################################################################## -# EXTERNAL PACKAGES AND SCRIPTS -############################################################################## - -# External packages - -# Conda package versions -fftw_ver="3.3.10" -libpng_ver="1.6.37" -mpi4py_ver="3.1.3" -openblas_ver="0.3.18" - -# WeightWatcher Package -ww_url="http://snapshot.debian.org/archive/debian/20171211T160522Z/pool/main/w/weightwatcher/weightwatcher_1.12.orig.tar.gz" -ww_tar="weightwatcher_1.12.orig.tar.gz" -ww_dir="weightwatcher-1.12" -ww_bin="ww" -ww_version=TRUE - -# CDSclient Package (need Findgsc2.2) -cdsclient_url="http://cdsarc.u-strasbg.fr/ftp/pub/sw/cdsclient.tar.gz" -cdscleint_tar="cdsclient.tar.gz" -cdsclient_dir="cdsclient-3.84" -cdsclient_bin="findgsc2.2" -cdsclient_version=FALSE - -# mpi4py Package -mpi_url="https://github.com/mpi4py/mpi4py/archive/${mpi4py_ver}.tar.gz" -mpi_tar="${mpi4py_ver}.tar.gz" -mpi_dir="mpi4py-${mpi4py_ver}" -mpi_bin="mpiexec" -mpi_version=TRUE - -# Allowed script extensions -script_ext=( - .py - .sh - .bash -) - -# Divider line -line="########################################################################" - -# Text colours -RED='\033[0;31m' -GREEN='\033[0;32m' -CYAN='\033[0;36m' -YELLOW='\033[1;33m' -NC='\033[0m' - -# Set variable defaults -PIPE_DIR=$PWD -BUILD_DIR=$PIPE_DIR/build -ENV_NAME='shapepipe' -BUILD_ENV=TRUE -DEVELOP=FALSE -VOS=FALSE -INSTALL_WW=TRUE -INSTALL_CDSCLIENT=TRUE -ATLAS_SEARCH=FALSE -use_atlas=FALSE -USE_MPI=TRUE -ERROR=FALSE - -############################################################################## -# SCRIPT FUNCTIONS -############################################################################## - -# Function to download, and unzip and untar a package -download_package() { - cd $BUILD_DIR - wget --no-check-certificate $1 - tar -xzf $2 - rm $2 -} - -# Function to build a standard package -build_standard() { - cd $BUILD_DIR/$1 - ./configure --prefix=$CONDA_PREFIX --quiet - make --quiet - make install -} - -# Function to build mpi4pi using preinstalled MPI libraries -build_mpi(){ - cd $BUILD_DIR/$1 - python setup.py build --mpicc=$MPI_ROOT - python setup.py install - ln -s $MPI_ROOT/bin/$mpi_bin $CONDA_PREFIX/bin/$mpi_bin -} - -# Check the conda executable is available -check_conda() { - if ! type -t "conda" > /dev/null - then - echo -ne "${RED}ERROR: Conda command not found, make sure it is installed before proceding.${NC}\n" - exit 1 - fi - # Set Conda variables - CONDA_VERSION=$(conda -V | perl -pe '($_)=/([0-9]+([.][0-9]+)+)/' ) - CONDA_VERSION_MAJOR=$(cut -d'.' -f1 <<<$CONDA_VERSION) - CONDA_VERSION_MINOR=$(cut -d'.' -f2 <<<$CONDA_VERSION) - CONDA_VERSION_PATCH=$(cut -d'.' -f3 <<<$CONDA_VERSION) - CONDA_SH=/opt/conda/etc/profile.d/conda.sh - # Check Conda major version - if [ "$CONDA_VERSION_MAJOR" -lt 4 ] - then - echo -ne "${RED}ERROR: Found Conda version $CONDA_VERSION but require 4.0.0 or greater.${NC}\n" - exit 1 - fi - # Check Conda minor version - if [ "$CONDA_VERSION_MINOR" -gt 4 ] - then - if [ -f "$CONDA_PREFIX_1$CONDA_SH" ] - then - source "$CONDA_PREFIX_1$CONDA_SH" - elif [ -f "$CONDA_PREFIX$CONDA_SH" ] - then - source "$CONDA_PREFIX$CONDA_SH" - else - echo -ne "${RED}ERROR: Could not find $CONDA_SH in \$CONDA_PREFIX.${NC}\n" - echo -ne "${RED}Activate the base/root Conda environment and try again.${NC}\n" - exit 1 - fi - CONDA_ACTIVATE="conda activate" - CONDA_DEACTIVATE="conda deactivate" - else - CONDA_ACTIVATE="source activate" - CONDA_DEACTIVATE="source deactivate" - fi -} - -# Check if a binary executable is already installed in the conda environment -check_binary() { - if ! type -t "$CONDA_PREFIX/bin/$1" > /dev/null - then - return 0 - else - echo "Executable '$1' is already installed, skipping." - echo "" - return 1 - fi -} - -# Check if a binary executable is already installed in the conda environment -check_binary2() { - if type -t "$CONDA_PREFIX/bin/$1" > /dev/null - then - echo -ne "$2: ${GREEN}INSTALLED${NC}\n" - if [ "$3" == TRUE ] - then - "$CONDA_PREFIX/bin/$1" --version | head -n 2 - fi - else - if [ "$4" == TRUE ] - then - echo -ne "$2: ${RED}INSTALLATION FAILED${NC}\n" - ERROR=TRUE - else - echo -ne "$2: ${YELLOW}NOT INSTALLED${NC}\n" - fi - fi - - echo "" -} - -# Check if a python site-package is installed correctly in the conda environment -check_site_pkg() { - if compgen -G "$CONDA_PREFIX/lib/python3.*/site-packages/$1*" > /dev/null - then - echo -ne " - $1:\t \xe2\x9c\x85\n" - else - echo -ne " - $1:\t \xe2\x9d\x8c\n" - fi -} - -# Function to report progress -report_progress() { - echo '' - echo $line - echo -e "${CYAN}Installing $1${NC}" - echo $line - echo '' -} - -# Function to start the script -start() { - echo '' - echo $line - echo 'ShapePipe Installation Script' - echo '' - echo 'Author: Samuel Farrens' - echo 'Version:' $version - echo 'Last Update:' $last_update - echo $line - echo '' -} - -# Function to report package versions -packages() { - check_binary2 $ww_bin "WeightWatcher" $ww_version $INSTALL_WW - check_binary2 $cdsclient_bin "CDSclient" $cdsclient_version $INSTALL_CDSCLIENT - check_binary2 $mpi_bin "MPI" $mpi_version $USE_MPI $MPI_ROOT - check_binary2 "shapepipe_run" "ShapePipe_Run" TRUE TRUE -} - -site-packages() { - check_site_pkg "shapepipe" - check_site_pkg "astropy" - check_site_pkg "galsim" - check_site_pkg "joblib" - check_site_pkg "mccd" - check_site_pkg "ngmix" - check_site_pkg "numpy" - check_site_pkg "pandas" - check_site_pkg "pysap" - check_site_pkg "scipy" - check_site_pkg "sf_tools" - check_site_pkg "sip_tpv" - check_site_pkg "sqlitedict" - check_site_pkg "treecorr" -} - -# Function to return exit code -exit_code() { - if [ "$ERROR" == TRUE ] - then - echo "ShapePipe installation failed as some packages were not properly installed." - exit 1 - else - exit 0 - fi -} - -# Function to report package versions -package_report() { - if [ "$CONDA_DEFAULT_ENV" != "$ENV_NAME" ] - then - activate_shapepipe - fi - INSTALL_WW=FALSE - INSTALL_CDSCLIENT=FALSE - USE_MPI=FALSE - start - echo 'Package Report' - echo '' - packages - python -m piplist - echo '' - exit_code -} - -# Function to end the script -finish() { - echo $line - echo '' - echo $line - echo 'Installation Complete!' - echo '' - packages - echo 'Python Package Check List:' - echo '' - site-packages - echo '' - echo $line - echo '' - exit_code -} - -check_status () { - if [ "$2" == FALSE ] - then - echo -ne "$1 ${YELLOW}$2${NC}" - elif [ "$2" == TRUE ] - then - echo -ne "$1 ${GREEN}$2${NC}" - else - echo -ne "$1 ${CYAN}$2${NC}" - fi - echo -ne " ${CYAN}$3${NC}\n" -} - -# Function to show the installation setup -setup() { - check_status 'Operating System:' $SYSOS - check_status 'Conda Version:' $CONDA_VERSION - check_status 'Build Conda Environment:' $BUILD_ENV $ENV_NAME - check_status 'Install WeightWatcher:' $INSTALL_WW - check_status 'Install CDSclient:' $INSTALL_CDSCLIENT - check_status 'Use MPI:' $USE_MPI $MPI_ROOT - check_status 'ShapePipe Directory:' $PIPE_DIR - check_status 'Build Directory:' $BUILD_DIR - echo '' -} - -# Function to show the astromatic setup -astromatic_setup() { - echo 'FFTW Library Path:' $FFTW_LIB - echo 'FFTW Include Path:' $FFTW_INC - if [ "$use_atlas" == TRUE ] - then - echo 'ATLAS Library Path:' $ATLAS_LIB - echo 'ATLAS Include Path:' $ATLAS_INC - else - echo 'OpenBLAS Library Path:' $BLAS_LIB - echo 'OpenBLAS Include Path:' $BLAS_INC - fi - echo '' -} - -# Function to uninstall ShapePipe and dependencies -uninstall() { - read -p "Uninstall $ENV_NAME environment [y/N]: " response - response=${response:-n} - if [ $response == "y" ] - then - rm -r build dist *.egg-info .eggs - deactivate_shapepipe - conda remove -n $ENV_NAME --all -y - echo "Finished uninstalling $ENV_NAME" - fi -} - -# Function to activate ShapePipe environment -activate_shapepipe() { - # Run activation command - echo -ne "Running ${CYAN}$CONDA_ACTIVATE $ENV_NAME${NC}\n" - eval "$CONDA_ACTIVATE $ENV_NAME" - # Check if the activation was successful - if [ "$?" -eq 0 ] - then - echo -ne "Successfully activated ShapePipe environment ${CYAN}$CONDA_PREFIX${NC}\n" - export LD_RUN_PATH=$CONDA_PREFIX/lib - else - echo -ne "${RED}ERROR: Could not activate ShapePipe environment.${NC}\n" - exit 1 - fi -} - -# Function to deactivate ShapePipe environment -deactivate_shapepipe() { - # Run deactivation command - eval $CONDA_DEACTIVATE -} - -# Build symbolic links for scripts -build_symlinks() { - for ext in ${script_ext[@]}; do - for script in $CONDA_PREFIX/bin/*$ext; do - link_name=`basename $script $ext` - ln -s $script $CONDA_PREFIX/bin/$link_name - done - done -} - -############################################################################## -# SCRIPT OPTIONS -############################################################################## - -help="$(basename "$0") [OPTIONS]\n\n -Options:\n -\t-h,--help\t show this help message and exit\n -\t-v,--version\t print script version and exit\n -\t-p,--packages\t print status of installed packages\n -\t--uninstall\t uninstall ShapePipe\n -\t--pipe-dir\t set the path to the ShapePipe base directory (default is \$PWD)\n -\t--build-dir\t set the path to the ShapePipe build (default is \$PWD/build)\n -\t--env-name\t set the name of the conda environment (default is shapepipe)\n -\t--develop\t option to install additional development packages\n -\t--vos\t\t option to install virtual observatory software\n -\t--no-env\t do not build Conda environment\n -\t--no-ww\t\t do not build WeightWatcher\n -\t--no-cds\t do not build CDSclient\n -\t--no-exe\t do not build any system executables\n\n - -Executable Build Options:\n -\t--fftw-lib\t path to FFTW library directory\n -\t--fftw-inc\t path to FFTW include directory\n -\t--blas-lib\t path to OpenBLAS library directory\n -\t--blas-inc\t path to OpenBLAS include directory\n -\t--atlas-lib\t path to ATLAS library directory\n -\t--atlas-inc\t path to ATLAS include directory\n -\t--atlas-search\t search system path for ATLAS directories\n\n - -MPI Build Options:\n -\t--no-mpi\t do not use MPI\n -\t--mpi-root\t path to MPI installation\n\n - -" - -# Parse command line options -for i in "$@" -do -case $i in - -h|--help) - start - echo -ne $help - shift - exit - ;; - -v|--version) - echo $(basename "$0") $version - shift - exit - ;; - -p|--packages) - package_report - shift - exit - ;; - --uninstall) - uninstall - shift - exit - ;; - --pipe-dir=*) - PIPE_DIR="${i#*=}" - shift - ;; - --build-dir=*) - BUILD_DIR="${i#*=}" - shift - ;; - --env-name=*) - ENV_NAME="${i#*=}" - shift - ;; - --develop) - DEVELOP=TRUE - shift - ;; - --vos) - VOS=TRUE - shift - ;; - --no-env) - BUILD_ENV=FALSE - shift - ;; - --no-ww) - INSTALL_WW=FALSE - shift - ;; - --no-cds) - INSTALL_CDSCLIENT=FALSE - shift - ;; - --fftw-lib=*) - FFTW_LIB="${i#*=}" - shift - ;; - --fftw-inc=*) - FFTW_INC="${i#*=}" - shift - ;; - --blas-lib=*) - BLAS_LIB="${i#*=}" - shift - ;; - --blas-inc=*) - BLAS_INC="${i#*=}" - shift - ;; - --atlas-lib=*) - ATLAS_LIB="${i#*=}" - shift - ;; - --atlas-inc=*) - ATLAS_INC="${i#*=}" - shift - ;; - --atlas-search) - ATLAS_SEARCH=TRUE - shift - ;; - --no-mpi) - USE_MPI=FALSE - shift - ;; - --mpi-root=*) - MPI_ROOT="${i#*=}" - shift - ;; - --no-exe) - INSTALL_WW=FALSE - INSTALL_CDSCLIENT=FALSE - shift - ;; - *) - echo "Invalid option, see help!" - exit 1 - ;; -esac -done - -############################################################################## -# CREATE CONDA ENVIRONMENT -############################################################################## - -# Start script -start - -# Check if conda is installed -check_conda - -# Find the operating system -case "$OSTYPE" in - darwin*) - SYSOS="macOS" - ;; - linux*) - SYSOS="LINUX" - ;; - *) - echo "unknown: $OSTYPE" - exit 1 - ;; -esac - -if [ ! -z "$ATLAS_LIB" ] || [ "$ATLAS_SEARCH" == TRUE ] -then - use_atlas=TRUE -fi - -# Create build directory if it does not already exist -if [ ! -d "$BUILD_DIR" ] -then - mkdir $BUILD_DIR -fi - -# Print script set-up -setup - -# Build conda environment -if [ "$BUILD_ENV" == TRUE ] -then - report_progress 'ShapePipe Environment' - conda env create -f environment.yml -n $ENV_NAME -fi - -# Activate conda environment -activate_shapepipe - -if [ -z "$FFTW_LIB" ]; then FFTW_LIB=$CONDA_PREFIX/lib; fi -if [ -z "$FFTW_INC" ]; then FFTW_INC=$CONDA_PREFIX/include; fi -if [ -z "$BLAS_LIB" ]; then BLAS_LIB=$CONDA_PREFIX/lib; fi -if [ -z "$BLAS_INC" ]; then BLAS_INC=$CONDA_PREFIX/include; fi - -############################################################################## -# INSTALL DEVELOPER PACKAGES -############################################################################## - -# Install development packages -if [ "$DEVELOP" == TRUE ] -then - report_progress 'Developer Packages' - python -m pip install -r develop.txt - python -m pip install -r docs/requirements.txt -fi - -############################################################################## -# INSTALL THE VOS LIBRARY -############################################################################## - -# Install the vos library -if [ "$VOS" == TRUE ] -then - report_progress 'vos' - python -m pip install vos -fi - -############################################################################## -# INSTALL MACOS REQUIRMENTS -############################################################################## - -# Set up macOS environment -if [ "$SYSOS" == "macOS" ] -then - report_progress 'macOS Requirements' - conda install -n $ENV_NAME wget -y - export C_INCLUDE_PATH=$CONDA_PREFIX/include - export CFLAGS="-Wl,-rpath,$CONDA_PREFIX/lib" - export CPPFLAGS="-Wno-everything" -else - export CPPFLAGS="-w" -fi - -############################################################################## -# INSTALL MPI REQUIRMENTS -############################################################################## - -# Install mpi4py -if [ "$USE_MPI" == TRUE ] -then - report_progress 'MPI' - if [ -z "$MPI_ROOT" ] - then - conda install -n $ENV_NAME -c conda-forge "mpi4py==${mpi4py_ver}" -y - else - download_package $mpi_url $mpi_tar - build_mpi $mpi_dir - fi -fi - -############################################################################## -# BUILD EXTERNAL EXECUTABLES -############################################################################## - -# Build WeightWatcher -if [ "$INSTALL_WW" == TRUE ] && check_binary $ww_bin -then - report_progress 'WeightWatcher' - download_package $ww_url $ww_tar - build_standard $ww_dir -fi - -# Build CDSclient -if [ "$INSTALL_CDSCLIENT" == TRUE ] && check_binary $cdsclient_bin -then - report_progress 'CDSclient' - download_package $cdsclient_url $cdscleint_tar - build_standard $cdsclient_dir -fi - -############################################################################## -# INSTALL SHAPEPIPE LIBRARY -############################################################################## - -# Install ShapePipe package -report_progress 'ShapePipe' -cd $PIPE_DIR -python -m pip install . - -# Create symbolic links to scripts -build_symlinks - -finish - -############################################################################## diff --git a/scripts/sh/curl_canfar_local.sh b/scripts/sh/curl_canfar_local.sh index 12e46cd35..963ed19b9 100755 --- a/scripts/sh/curl_canfar_local.sh +++ b/scripts/sh/curl_canfar_local.sh @@ -155,8 +155,8 @@ function submit_batch() { } -batch=20 -sleep=150 +batch=50 +sleep=75 ((n_thresh=batch_max-batch)) From 124decc5857d71ec599121019aad336b55c742a8 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Wed, 26 Jun 2024 12:54:14 +0000 Subject: [PATCH 073/217] canfar scripts: -m 1 creates local exp headers indep of job --- scripts/sh/curl_canfar_local.sh | 9 ++++++++- scripts/sh/init_run_exclusive_canfar.sh | 11 ++++++----- 2 files changed, 14 insertions(+), 6 deletions(-) diff --git a/scripts/sh/curl_canfar_local.sh b/scripts/sh/curl_canfar_local.sh index 963ed19b9..7b4d2e17d 100755 --- a/scripts/sh/curl_canfar_local.sh +++ b/scripts/sh/curl_canfar_local.sh @@ -19,6 +19,7 @@ version="1.1" cmd_remote="shapepipe/scripts/sh/init_run_exclusive_canfar.sh" batch_max=200 dry_run=0 +mh_local=0 ## Help string usage="Usage: $(basename "$0") -j JOB -[e ID |-f file_IDs] -k KIND [OPTIONS] @@ -31,6 +32,8 @@ usage="Usage: $(basename "$0") -j JOB -[e ID |-f file_IDs] -k KIND [OPTIONS] \tfile containing IDs\n -p, --psf MODEL\n \tPSF model, one in ['psfex'|'mccd'], default='$psf'\n + -m, --mh_local MH\n + \tmerged header file local (MH=0) or global (MH=1); default is $mh_local\n -N, --N_SMP N_SMOp\n \tnumber of jobs (SMP mode only), default=$N_SMP\n -V, --version\n @@ -64,6 +67,10 @@ while [ $# -gt 0 ]; do job="$2" shift ;; + -m|--mh_local) + mh_local="$2" + shift + ;; -e|--exclusive) ID="$2" shift @@ -123,7 +130,7 @@ dir=`pwd` # Return argument for local script to be called via curl function set_arg() { - my_arg="-j $job -p $psf -e $ID -N $N_SMP $arg_dry_run -d $dir" + my_arg="-j $job -p $psf -e $ID -N $N_SMP $arg_dry_run -d $dir -m $mh_local" echo $my_arg } diff --git a/scripts/sh/init_run_exclusive_canfar.sh b/scripts/sh/init_run_exclusive_canfar.sh index 75583e5ce..f61e8aeab 100755 --- a/scripts/sh/init_run_exclusive_canfar.sh +++ b/scripts/sh/init_run_exclusive_canfar.sh @@ -27,7 +27,7 @@ usage="Usage: $(basename "$0") -j JOB -e ID -k KIND [OPTIONS] -p, --psf MODEL\n \tPSF model, one in ['psfex'|'mccd'], default='$psf'\n -m, --mh_local MH\n - \tmerged header file local (MH=0) or global (MH=1); default is $MH\n + \tmerged header file local (MH=0) or global (MH=1); default is $mh_local\n -N, --N_SMP N_SMOp\n \tnumber of jobs (SMP mode only), default from original config files\n -d, --directory\n @@ -97,7 +97,7 @@ if [ "$psf" != "psfex" ] && [ "$psf" != "mccd" ]; then fi if [ "$mh_local" != "0" ] && [ "$mh_local" != "1" ]; then - echo "MH (option -m) needs to be 0 or 1" + echo "mh_local (option -m) needs to be 0 or 1" exit 5 fi @@ -233,8 +233,9 @@ command "ln -sf $dir/output/run_sp_Ma_exp" $dry_run command "ln -sf $dir/output/run_sp_exp_SpMh" $dry_run -(( do_job = $job & 16 )) -if [ "$mh_local" == "1" ] && [ $do_job != 0 ]; then +#(( do_job = $job & 16 )) +#&& [ $do_job != 0 ]; then +if [ "$mh_local" == "1" ]; then # Remove previous Sx runs command "rm -rf $dir/output/run_tile_Sx_*" $dry_run @@ -277,7 +278,7 @@ if [ "$mh_local" == "1" ] && [ $do_job != 0 ]; then cd output # Remove previous Sextractor run - command "rm -rf run_sp_tile_Sx_*" $dry_run + #command "rm -rf run_sp_tile_Sx_*" $dry_run fi # Update links to exposure run directories, which were created in job 32 From 2ae3d359d4281d9e6b07a93ed2f3cf5b97ed6a28 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Wed, 26 Jun 2024 12:55:42 +0000 Subject: [PATCH 074/217] summary check special working --- scripts/python/summary_params_pre_v2.py | 6 +- shapepipe/utilities/summary.py | 165 ++++++++++++++---------- 2 files changed, 99 insertions(+), 72 deletions(-) diff --git a/scripts/python/summary_params_pre_v2.py b/scripts/python/summary_params_pre_v2.py index d640c8ab1..06cd285fc 100644 --- a/scripts/python/summary_params_pre_v2.py +++ b/scripts/python/summary_params_pre_v2.py @@ -111,20 +111,24 @@ def set_jobs_v2_pre_v2(patch, verbose): "run_sp_exp_SxSePsf", "run_sp_exp_SxSePsf", "run_sp_exp_SxSePsf", + "run_sp_exp_SxSePsf", #"run_sp_exp_Pi" ], [ "sextractor_runner", "setools_runner", + "setools_runner", "psfex_runner", # "psfex_interp_runner"], ], "shdus", - n_mult=[2, 2, 2], # 1], + n_mult=[2, 2, 1, 2], # 1], path_main=path_main, path_left="exp_runs", output_subdirs="shdus", path_right="output", + path_output=["output", "output/rand_split", "output/stat", "output"], + special=[False, False, True, False], verbose=verbose, ) diff --git a/shapepipe/utilities/summary.py b/shapepipe/utilities/summary.py index 8977a5d66..7c59f6d6e 100755 --- a/shapepipe/utilities/summary.py +++ b/shapepipe/utilities/summary.py @@ -158,41 +158,26 @@ def set_as_list(item=None, n=None, default=1): return result -def check_special(module, paths_in_dir, names_in_dir): - - if module == "setools_runner": - inds_special = [] - for idx in range(len(paths_in_dir)): - base_path = paths_in_dir[idx].replace(names_in_dir[idx], "") - - stats_dir = f"{base_path}/../stat" - stats_files = os.listdir(stats_dir) - if len(stats_files) != 1: - raise ValueError( - f"Expected exactly one stats file in {stats_dir}, not" - + f" {len(stats_files)}" - ) +def check_special_one(module, path): - stats_path = os.path.join(stats_dir, stats_files[0]) - with open(stats_path) as f_in: - lines = f_in.readlines() - for line in lines: - entry = line.rstrip() - m = re.search(line, "Nb stars = (\S*)") - if m: - value = int(m[2]) - if value == 0: - inds_special.append(idx) - else: - print(f"b stars = {value}, not special") - break + with open(path) as f_in: + lines = f_in.readlines() + for line in lines: + entry = line.rstrip() - #print(inds_special) - for idx in inds_special: - paths_in_dir.pop(idx) - names_in_dir.pop(idx) + if module == "setools_runner": + m = re.search("Nb stars = (\S*)", line) + if m: + value = int(m[1]) + if value < 2: + msg = f"Not enough stars for random split: #stars = {value}" + return msg + else: + pass + break - return paths_in_dir, names_in_dir, len(inds_special) + return None + class job_data(object): @@ -225,9 +210,14 @@ class job_data(object): path_right: str, optional right (last) part of output subdir suffix if not `None`; default is `None` + path_output: str, optional + module output path, default is "output" output_path_missing_IDs: list, optional output path of missing ID, if `None` (default) will be given by job bit and module. + special: bool, optional + if True check output file content for special messages; + default is False verbose: bool, optional verbose output if True; default is False @@ -244,7 +234,9 @@ def __init__( path_left="output", output_subdirs=None, path_right=None, + path_output="output", output_path_missing_IDs=None, + special=False, verbose=False, ): self._bit = bit @@ -257,9 +249,21 @@ def __init__( self._path_left = path_left self._output_subdirs = output_subdirs or [""] self._path_right = set_as_list( - path_right, len(modules), default="." + path_right, + len(modules), + default=".", + ) + self._path_output = set_as_list( + path_output, + len(modules), + default="output", ) self._output_path_missing_IDs=output_path_missing_IDs + self._special = set_as_list( + special, + len(modules), + default=False, + ) self._verbose = verbose def print_intro(self): @@ -277,16 +281,15 @@ def print_stats_header(self): Print overall header information for stats output. """ - #logging.info( - #"module expected found miss_expl" - #+ " missing uniq_miss fr_found" logging.info( - "module expected found" - + " missing uniq_miss fr_found" + "module expected found miss_expl" + + " missing uniq_miss fr_found" + #logging.info( + #"module expected found" + #+ " missing uniq_miss fr_found" ) logging.info("=" * 100) - @classmethod def print_stats( self, module, @@ -294,7 +297,7 @@ def print_stats( n_found, n_missing_explained, n_missing, - n_mult, + idx, ): """Print Stats. @@ -312,8 +315,8 @@ def print_stats( number of missing but explained files n_missing: int number of missing files - n_mult: int - multipicity + idx: int + module index """ if n_expected > 0: @@ -321,10 +324,15 @@ def print_stats( else: fraction_found = 1 - n_missing_per_mult = n_missing / n_mult + n_missing_per_mult = n_missing / self._n_mult[idx] + + module_str = module + if self._special[idx]: + module_str = f"{module_str} (special)" logging.info( - f"{module:30s} {n_expected:9d} {n_found:9d}" + f"{module_str:30s} {n_expected:9d} {n_found:9d}" + + f" {n_missing_explained:9d}" + f" {n_missing:9d}" + f" {n_missing_per_mult:9.1f} {fraction_found:9.1%}" ) @@ -333,9 +341,6 @@ def print_stats( def is_ID_in_str(self, ID, path): if ID in path: return True - #if re.sub("\.", "-", ID) in path: - #return True - #return False @classmethod def is_not_in_any(self, ID, list_str): @@ -394,6 +399,28 @@ def write_IDs_to_file(self, output_path, IDs): # Remove preivous obsolete ID file os.unlink(output_path) + def check_special(self, module, idx): + + messages = [] + if self._special[idx]: + for name, path in zip(self._names_in_dir[idx], self._paths_in_dir[idx]): + + msg = check_special_one(module, path) + if msg: + messages.append(f"{name} {msg}") + + + if messages: + output_path = ( + f"{self._path_main}/summary/special_job_{self._bit}" + + f"_{module}.txt" + ) + with open(output_path, "w") as f_out: + for msg in messages: + print(msg, file=f_out) + + return len(messages) + def output_missing( self, module, @@ -414,8 +441,7 @@ def output_missing( # Count image IDs in names that were found earlier - ## Extract image IDs from names - IDs = [] + # Get file name pattern if module != "split_exp_runner": pattern = re.compile( r"(?:\d{3}-\d{3}|\d{7}-\d+|\d{7})" @@ -426,13 +452,19 @@ def output_missing( pattern = re.compile( r"(?:\d{3}-\d{3}|\d{7})" ) + + ## Extract image IDs from names + IDs = [] for name, path in zip(names_in_dir, paths_in_dir): + match = pattern.search(name) if match: - IDs.append(match.group()) + ID = match.group() + IDs.append(ID) else: raise ValueError(f"No ID found in {name}") + ## Count occurences ID_counts = Counter(IDs) @@ -489,17 +521,13 @@ def get_last_full_path(self, base_and_subdir, matches): return full_path @classmethod - def get_module_output_dir(self, full_path, module): + def get_module_output_dir(self, full_path, module, path_output): """Get Module Output Dir. Return output directory name for given module. """ - directory = f"{full_path}/{module}/output" - - # Some modules have special requirements - if module == "setools_runner": - directory = f"{directory}/rand_split" + directory = f"{full_path}/{module}/{path_output}" return directory @@ -562,12 +590,15 @@ def get_names_in_dir(self, iterable, module, idx): print(match.name) full_path = self.get_last_full_path( - base_and_subdir, matches + base_and_subdir, + matches, ) # Get module output directory directory = self.get_module_output_dir( - full_path, module + full_path, + module, + self._path_output[idx], ) if self._verbose: print(f"**** Output dir = {directory}") @@ -649,18 +680,10 @@ def check_numbers(self, par_runtime=None, indices=None): n_expected = n_expected_base * self._n_mult[idx] n_missing = n_expected - n_found - n_missing_explained = 0 - if n_missing > 0: - # TODO: make check_special class function, deal with - # paths, names in dir - if False and module == "setools_runner": - ( - self._paths_in_dir[idx], - self._names_in_dir[idx], - n_missing_explained, - ) = check_special(module, paths_in_dir, names_in_dir) - - n_missing = n_missing - n_missing_explained + n_missing_explained = self.check_special( + module, + idx, + ) # Print statistics self.print_stats( @@ -669,7 +692,7 @@ def check_numbers(self, par_runtime=None, indices=None): n_found, n_missing_explained, n_missing, - self._n_mult[idx], + idx, ) # Write missing IDs for module to file From 9f4e7fb80939eb86cbcdb6a23e9c621be4b96e07 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Wed, 26 Jun 2024 12:56:07 +0000 Subject: [PATCH 075/217] ngmix: added last check that all 8 HDUs are present --- shapepipe/modules/ngmix_package/ngmix.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/shapepipe/modules/ngmix_package/ngmix.py b/shapepipe/modules/ngmix_package/ngmix.py index 7cb614a42..572b67174 100644 --- a/shapepipe/modules/ngmix_package/ngmix.py +++ b/shapepipe/modules/ngmix_package/ngmix.py @@ -323,6 +323,12 @@ def save_results(self, output_dict): open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite ) + n_hdu = len(output_dict.keys()) + if n_hdu != 8: + raise IndexError( + f"FITS output file data has {n_hdu} HDUs," + + "expected are 8" + ) for key in output_dict.keys(): f.save_as_fits(output_dict[key], ext_name=key.upper()) From fe69e4dc043eac27d1748383892e638940d8cc97 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Wed, 26 Jun 2024 12:58:50 +0000 Subject: [PATCH 076/217] debug messages removed --- auxdir/CFIS/tiles_202106/tiles_P7.txt | 1 - scripts/sh/job_sp_canfar.bash | 1 - 2 files changed, 2 deletions(-) diff --git a/auxdir/CFIS/tiles_202106/tiles_P7.txt b/auxdir/CFIS/tiles_202106/tiles_P7.txt index cd8b6b5af..535084a2e 100644 --- a/auxdir/CFIS/tiles_202106/tiles_P7.txt +++ b/auxdir/CFIS/tiles_202106/tiles_P7.txt @@ -1,4 +1,3 @@ -000.000 052.332 053.331 053.332 diff --git a/scripts/sh/job_sp_canfar.bash b/scripts/sh/job_sp_canfar.bash index 7c7b50681..88ceae36c 100755 --- a/scripts/sh/job_sp_canfar.bash +++ b/scripts/sh/job_sp_canfar.bash @@ -164,7 +164,6 @@ export VCP="vcp --certfile=$CERTFILE" # Print string, executes command, and prints return value. function command () { - echo "MKDEBUG job_sp_canfar command ($1)" cmd=$1 str=$2 From 1c75779c72e10bea3e8f5aba02a595e1da00c2c5 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Mon, 1 Jul 2024 12:03:47 +0000 Subject: [PATCH 077/217] Added GaAP photometry to SEx param file --- example/cfis/default.param | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) diff --git a/example/cfis/default.param b/example/cfis/default.param index 6521a94d5..09ad8405e 100644 --- a/example/cfis/default.param +++ b/example/cfis/default.param @@ -51,7 +51,7 @@ MU_MAX #Peak surface brightness above background FLAGS #Extraction flags FLAGS_WIN #Flags for WINdowed parameters -#!!! REQUIRE FLAG_IMAGE !!! +# The following flag requires a flag image IMAFLAGS_ISO #FLAG-image flags OR'ed over the iso. profile !!! REQUIRE FLAG_IMAGE !!! FWHM_IMAGE #FWHM assuming a gaussian core [pixel] @@ -61,9 +61,8 @@ ELLIPTICITY #1 - B_IMAGE/A_IMAGE VIGNET(51,51) #Pixel data around detection [count] -#VECTOR_ASSOC #ASSOCiated parameter vector -#NUMBER_ASSOC #Number of ASSOCiated IDs +# For GaaP photometry +A_WORLD +B_WORLD +THETA_J2000 -#SPREAD_MODEL -#SPREADERR_MODEL -#FWHMPSF_IMAGE From 26c1b781ac6ff664d52bbb062b90f46cd6bd9ac0 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Mon, 1 Jul 2024 12:04:11 +0000 Subject: [PATCH 078/217] summary specials --- scripts/python/summary_params_pre_v2.py | 14 +++++++++++--- shapepipe/utilities/summary.py | 12 +++++++++--- 2 files changed, 20 insertions(+), 6 deletions(-) diff --git a/scripts/python/summary_params_pre_v2.py b/scripts/python/summary_params_pre_v2.py index 3da55cb1d..5e1fe5a53 100644 --- a/scripts/python/summary_params_pre_v2.py +++ b/scripts/python/summary_params_pre_v2.py @@ -110,23 +110,31 @@ def set_jobs_v2_pre_v2(patch, verbose): "run_sp_exp_SxSePsf", "run_sp_exp_SxSePsf", "run_sp_exp_SxSePsf", + "run_sp_exp_SxSePsf", #"run_sp_exp_Pi" ], [ "sextractor_runner", "setools_runner", "setools_runner", + "setools_runner", "psfex_runner", # "psfex_interp_runner"], ], "shdus", - n_mult=[2, 2, 1, 2], # 1], + n_mult=[2, 2, 1, 1, 2], path_main=path_main, path_left="exp_runs", output_subdirs="shdus", path_right="output", - path_output=["output", "output/rand_split", "output/stat", "output"], - special=[False, False, True, False], + path_output=[ + "output", + "output/rand_split", + "output/stat", + "logs", + "output", + ], + special=[False, False, True, True, False], verbose=verbose, ) diff --git a/shapepipe/utilities/summary.py b/shapepipe/utilities/summary.py index 6907e67dd..140edf0d9 100755 --- a/shapepipe/utilities/summary.py +++ b/shapepipe/utilities/summary.py @@ -169,11 +169,17 @@ def check_special_one(module, path): if m: value = int(m[1]) if value < 2: - msg = f"Not enough stars for random split: #stars = {value}" + msg = ( + f"Not enough stars for random split:" + + f" #stars = {value}" + ) return msg - else: - pass break + m = re.search("Mode computation failed", line) + if m: + msg = "Mode computation of stellar locus failed" + return msg + return None From c0e5435475a4728ee1d0eb0268d3c7d8ea06ce79 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Mon, 1 Jul 2024 12:04:29 +0000 Subject: [PATCH 079/217] print msg if empty vignets --- shapepipe/modules/ngmix_package/ngmix.py | 21 +++++++++++++-------- 1 file changed, 13 insertions(+), 8 deletions(-) diff --git a/shapepipe/modules/ngmix_package/ngmix.py b/shapepipe/modules/ngmix_package/ngmix.py index 16f134f7b..5eae02a01 100644 --- a/shapepipe/modules/ngmix_package/ngmix.py +++ b/shapepipe/modules/ngmix_package/ngmix.py @@ -313,10 +313,10 @@ def save_results(self, output_dict): ) n_hdu = len(output_dict.keys()) - if n_hdu != 8: + if n_hdu != 5: raise IndexError( f"FITS output file data has {n_hdu} HDUs," - + "expected are 8" + + " expected are 5" ) for key in output_dict.keys(): f.save_as_fits(output_dict[key], ext_name=key.upper()) @@ -368,18 +368,21 @@ def process(self): id_first = id_tmp id_last = id_tmp - count = count + 1 - gal_vign = [] psf_vign = [] sigma_psf = [] weight_vign = [] flag_vign = [] jacob_list = [] - if (psf_vign_cat[str(id_tmp)] == "empty") or ( - gal_vign_cat[str(id_tmp)] == "empty" - ): + if psf_vign_cat[str(id_tmp)] == "empty": + self._w_log.info(f"Skipping object {id_tmp}: empty PSF vignet") + continue + if gal_vign_cat[str(id_tmp)] == "empty": + self._w_log.info( + f"Skipping object {id_tmp}: empty galaxy vignet" + ) continue + psf_expccd_name = list(psf_vign_cat[str(id_tmp)].keys()) for expccd_name_tmp in psf_expccd_name: exp_name, ccd_n = re.split("-", expccd_name_tmp) @@ -457,12 +460,14 @@ def process(self): ) continue + count = count + 1 + res["obj_id"] = id_tmp res["n_epoch_model"] = len(gal_vign) final_res.append(res) self._w_log.info( - f"ngmix loop over objects finished, processed {count} " + f"ngmix loop over objects finished, measured {count} " + f"objects, id first/last={id_first}/{id_last}" ) From a7203a3dfd93ca3d2673a08594941c44a1afd24e Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Mon, 1 Jul 2024 12:04:47 +0000 Subject: [PATCH 080/217] doc --- docs/source/pipeline_canfar.md | 4 +++- scripts/sh/init_run_exclusive_canfar.sh | 6 ++++++ 2 files changed, 9 insertions(+), 1 deletion(-) diff --git a/docs/source/pipeline_canfar.md b/docs/source/pipeline_canfar.md index f0786501f..23a76692b 100644 --- a/docs/source/pipeline_canfar.md +++ b/docs/source/pipeline_canfar.md @@ -40,10 +40,12 @@ shapepipe_run -c cfis/config_GitFe_symlink.ini shapepipe_run -c cfis/config_Gie_vos.ini mv -i output/run_sp_Gie_*/get_images_runner/output/*.fits*fz data_exp -rm -rf output/run_sp_Gie_* +rm -rf output/run_sp_Gie_* update_run_log_file.py # repeat the above; or: while true; do shapepipe_run -c cfis/config_Gie_vos.ini; ls -l data_exp/ | wc; mv -i output/run_sp_Gie_*/get_images_runner/output/*.fits*fz data_exp; ls -l data_exp/ | wc; rm -rf output/run_sp_Git_*; update_run_log_file.py; done +# Make sure that after all images are downloaded there is no Gie run. This would +# mess up later modules since last:get_image_runner could point to this run. ### Create links (and re-run Fe, not necessary) job_sp_canfar.bash -p $psf `cat tile_numbers.txt` -j 1 -r symlink diff --git a/scripts/sh/init_run_exclusive_canfar.sh b/scripts/sh/init_run_exclusive_canfar.sh index f61e8aeab..8664f4e64 100755 --- a/scripts/sh/init_run_exclusive_canfar.sh +++ b/scripts/sh/init_run_exclusive_canfar.sh @@ -281,6 +281,12 @@ if [ "$mh_local" == "1" ]; then #command "rm -rf run_sp_tile_Sx_*" $dry_run fi +(( do_job = $job & 16 )) +if [[ $do_job != 0 ]]; then + # Remove previous Sx runs + command "rm -rf $dir/output/run_tile_Sx_*" $dry_run +fi + # Update links to exposure run directories, which were created in job 32 (( do_job = $job & 64 )) if [[ $do_job != 0 ]]; then From 7f842a31f0cf86a2229614675915f75fba3e9da7 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Mon, 1 Jul 2024 15:12:11 +0200 Subject: [PATCH 081/217] cleaning up and adding doc strings to vignet maker --- shapepipe/modules/vignetmaker_runner.py | 33 ++++++++++++++++--------- 1 file changed, 22 insertions(+), 11 deletions(-) diff --git a/shapepipe/modules/vignetmaker_runner.py b/shapepipe/modules/vignetmaker_runner.py index 9a83f1cd6..ad7349b38 100644 --- a/shapepipe/modules/vignetmaker_runner.py +++ b/shapepipe/modules/vignetmaker_runner.py @@ -31,14 +31,16 @@ def vignetmaker_runner( # Get path to galaxy catalogue galcat_path = input_file_list[0] - # Check if masking should be performed - # With masking + # Check whether mask is to be created if config.getboolean(module_config_sec, 'MASKING'): - # Fetch the mask value + + # Get the mask value mask_value = config.getfloat(module_config_sec, 'MASK_VALUE') - # Make a mask + + # Create a mask postage stamp vignet = vm.make_mask(galcat_path=galcat_path, mask_value=mask_value) - # Save the vignet + + # Save the mask postage stamp vignet vm.save_vignet( vignet=vignet, sexcat_path=galcat_path, @@ -47,20 +49,29 @@ def vignetmaker_runner( image_num=file_number_string, ) - # Without masking else: - # Fetch stamp size + + # Get stamp size stamp_size = config.getint(module_config_sec, 'STAMP_SIZE') - 1 - # Check stamp size + + # Make sure stamp size is odd number if stamp_size % 2 != 0: - raise ValueError('The STAMP_SIZE must be odd') + raise ValueError( + f"Found even value {stamp_size} for postage stame size (STAMP" + + f"_SIZE entry in config file), must be odd" + ) + # Set radius radius = int(stamp_size / 2) - # Fetch position type and values + # Get position type (allowed are "PIX" and "SPHE") pos_type = config.get(module_config_sec, 'COORD') + + # Get position column names for x and y / ra and dec pos_params = config.getlist(module_config_sec, 'POSITION_PARAMS') - # Fetch vignet run mode + + # Get vignet run mode; allowed are "CLASSIC", "MULTI-EPOCH", and + # "VALIDATION" mode = config.get(module_config_sec, 'MODE') # Create instance of VignetMaker From 1c8b4cd29dbb8e35685b3cafe4530d396c2538de Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 12 Jul 2024 14:31:04 +0000 Subject: [PATCH 082/217] cleaned up curl script --- scripts/sh/curl_canfar_local.sh | 79 ++++++++++++++++++++++++--------- 1 file changed, 59 insertions(+), 20 deletions(-) diff --git a/scripts/sh/curl_canfar_local.sh b/scripts/sh/curl_canfar_local.sh index 7b4d2e17d..85d55c1e2 100755 --- a/scripts/sh/curl_canfar_local.sh +++ b/scripts/sh/curl_canfar_local.sh @@ -16,10 +16,13 @@ ID=-1 file_IDs=-1 N_SMP=1 version="1.1" -cmd_remote="shapepipe/scripts/sh/init_run_exclusive_canfar.sh" +cmd_remote="$HOME/shapepipe/scripts/sh/init_run_exclusive_canfar.sh" batch_max=200 dry_run=0 mh_local=0 +debug_out=-1 + +pat="- " ## Help string usage="Usage: $(basename "$0") -j JOB -[e ID |-f file_IDs] -k KIND [OPTIONS] @@ -42,6 +45,8 @@ usage="Usage: $(basename "$0") -j JOB -[e ID |-f file_IDs] -k KIND [OPTIONS] \tremote command to run on canfar, default='$cmd_remote'\n -b, --batch_max\n \tmaximum batch size = number of jobs run simultaneously, default=$batch_max\n + --debug_out PATH\n + \tdebug output file PATH, default not used\n -n, --dry_run LEVEL\n \tdry run, from LEVEL=2 (no processing) to 0 (full run)\n " @@ -87,6 +92,10 @@ while [ $# -gt 0 ]; do batch_max="$2" shift ;; + --debug_out) + debug_out="$2" + shift + ;; -n|--dry_run) dry_run="$2" shift @@ -116,6 +125,17 @@ if [ "$dry_run" != 0 ] && [ "$dry_run" != 1 ] && [ "$dry_run" != 2 ]; then exit 5 fi +if [ "$debug_out" != "-1" ]; then + echo "${pat}Starting $(basename "$0")" >> $debug_out + echo $pat`date`$ >> $debug_out +fi + +. /opt/conda/etc/profile.d/conda.sh +conda activate shapepipe +if [ "$debug_out" != "-1" ]; then + echo "${pat}conda prefix = ${CONDA_PREFIX}" >> $debug_out +fi + # command line arguments for remote script: # collect into string @@ -130,20 +150,40 @@ dir=`pwd` # Return argument for local script to be called via curl function set_arg() { - my_arg="-j $job -p $psf -e $ID -N $N_SMP $arg_dry_run -d $dir -m $mh_local" + my_arg="-j $job -p $psf -e $ID -N $N_SMP $arg_dry_run -d $dir -m $mh_local --debug_out $debug_out" echo $my_arg } -# MKDEBUG TODO function call_curl() { - my_arg=$1 + my_name=$1 + dry_run=$2 + + my_arg=$(set_arg) + + if [ "$dry_run" == "0" ]; then + + my_session=`curl -E $SSL "$SESSION?$RESOURCES" -d "image=$IMAGE:$version" -d "name=${my_name}" -d "cmd=$cmd_remote" --data-urlencode "args=${my_arg[@]}"` + # &> /dev/null` + fi + + cmd=("curl" "-E" "$SSL" "$SESSION?$RESOURCES" "-d" "image=$IMAGE:$version" "-d" "name=${my_name}" "-d" "cmd=$cmd_remote" "--data-urlencode" "args=\"${my_arg}\"") + + if [ "$debug_out" != "=1" ]; then + echo "${pat}call_curl $my_name $my_arg" >> $debug_out + echo "Running ${cmd[@]} (dry_run=$dry_run)" >> $debug_out + fi + echo "${cmd[@]} (dry_run=$dry_run)" + + + # Running $cmd does not work due to unknown problems with passing of args + + update_session_logs } # Add session and image IDs to log files function update_session_logs() { - #echo "MKDEBUG $my_session $ID" echo $my_session >> session_IDs.txt echo "$my_session $ID" >> session_image_IDs.txt @@ -153,11 +193,11 @@ function submit_batch() { path=$1 for ID in `cat $path`; do - my_arg=$(set_arg) IDt=`echo $ID | tr "." "-"` - MY_NAME="SP-${patch}-J${job}-${IDt}" - my_session=`curl -E $SSL "$SESSION?$RESOURCES" -d "image=$IMAGE:$version" -d "name=${MY_NAME}" -d "cmd=$cmd_remote" --data-urlencode "args=$my_arg" &> /dev/null` - update_session_logs + my_name="SP-${patch}-J${job}-${IDt}" + + call_curl $my_name $dry_run + done } @@ -179,18 +219,16 @@ if [ "$dry_run" == 2 ]; then # Submit file (dry run = 2) for ID in `cat $file_IDs`; do IDt=`echo $ID | tr "." "-"` - MY_NAME="SP-${patch}-J${job}-${IDt}" - arg=$(set_arg) - echo curl -E $SSL \"$SESSION?$RESOURCES\" -d \"image=$IMAGE:$version\" -d \"name=${MY_NAME}\" -d \"cmd=$cmd_remote\" --data-urlencode \"args=$arg\" + my_name="SP-${patch}-J${job}-${IDt}" + call_curl $my_name $dry_run done else # Submit image (dry run = 2) - arg=$(set_arg) IDt=`echo $ID | tr "." "-"` - MY_NAME="SP-${patch}-J${job}-${IDt}" - echo curl -E $SSL "$SESSION?$RESOURCES" -d \"image=$IMAGE:$version\" -d \"name=${MY_NAME}\" -d \"cmd=$cmd_remote\" --data-urlencode \"args=$arg\" + my_name="SP-${patch}-J${job}-${IDt}" + call_curl $my_name $dry_run fi @@ -241,13 +279,14 @@ else else # Submit image - arg=$(set_arg) IDt=`echo $ID | tr "." "-"` - MY_NAME="SP-${patch}-J${job}-${IDt}" - my_session=`curl -E $SSL "$SESSION?$RESOURCES" -d "image=$IMAGE:$version" -d "name=${MY_NAME}" -d "cmd=$cmd_remote" --data-urlencode "args=$arg" &> /dev/null` - echo curl -E $SSL "$SESSION?$RESOURCES" -d "image=$IMAGE:$version" -d "name=${MY_NAME}" -d "cmd=$cmd_remote" --data-urlencode "args=$arg" - update_session_logs + my_name="SP-${patch}-J${job}-${IDt}" + call_curl $my_name $dry_run fi fi + +if [ "$debug_out" != "-1" ]; then + echo "${pat}End $(basename "$0")" >> $debug_out +fi From 3210b88af99c702232a13bfad5b0c6878201615b Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 12 Jul 2024 14:32:17 +0000 Subject: [PATCH 083/217] canfar scripts adopted to new env; added debug --- scripts/sh/init_run_exclusive_canfar.sh | 77 ++++++++++++++++++------- scripts/sh/job_sp_canfar.bash | 48 ++++++++++++++- 2 files changed, 103 insertions(+), 22 deletions(-) diff --git a/scripts/sh/init_run_exclusive_canfar.sh b/scripts/sh/init_run_exclusive_canfar.sh index 8664f4e64..9f8e0d2a9 100755 --- a/scripts/sh/init_run_exclusive_canfar.sh +++ b/scripts/sh/init_run_exclusive_canfar.sh @@ -8,14 +8,16 @@ job=-1 ID=-1 N_SMP=1 dry_run=0 -nsh_jobs=8 dir=`pwd` +debug_out=-1 # mh_local is 0 (1) if merge_header_runner is run on all exposures, # which is standard so far (run on exposures of given tile only; new) mh_local=0 VERBOSE=1 +pat="-- " + ## Help string usage="Usage: $(basename "$0") -j JOB -e ID -k KIND [OPTIONS] @@ -34,6 +36,8 @@ usage="Usage: $(basename "$0") -j JOB -e ID -k KIND [OPTIONS] \trun directory, default is pwd ($dir)\n -n, --dry_run\n \tdry run, no actuall processing\n + --debug_out PATH\n + \tdebug output file PATH, default not used\n " ## Help if no arguments @@ -76,6 +80,10 @@ while [ $# -gt 0 ]; do -n|--dry_run) dry_run=1 ;; + --debug_out) + debug_out="$2" + shift + ;; esac shift done @@ -116,12 +124,21 @@ function command () { #GREEN='' #NC='' + msg="running '$cmd' (dry run=$dry_run)" if [ $VERBOSE == 1 ]; then - echo "running '$cmd' (dry run=$dry_run)" + echo $msg fi + if [ "$debug_out" != "-1" ]; then + echo ${pat}$msg >> $debug_out + fi + if [ "$dry_run" == "0" ]; then $cmd res=$? + + if [ "$debug_out" != "-1" ]; then + echo "${pat}exit code = $res" >> $debug_out + fi if [ $VERBOSE == 1 ]; then if [ $res == 0 ]; then @@ -139,7 +156,12 @@ function command () { fi } -echo "start init_run_exclusive_canfar" +msg="Starting $(basename "$0")" +echo $msg +if [ "$debug_out" != "-1" ]; then + echo $pat$msg >> $debug_out + echo ${pat}`date` >> $debug_out +fi # Set kind job_to_test=16 @@ -185,9 +207,18 @@ if [ "$dry_run" == 1 ]; then echo "in dry run mode" fi -. /opt/conda/etc/profile.d/conda.sh - -conda activate shapepipe +#. /opt/conda/etc/profile.d/conda.sh +# the following line will look for /opt/... +#conda activate shapepipe +#conda activate $HOME/.conda/envs/shapepipe +#CONDA_PREFIX=$HOME/.conda/envs/shapepipe +CONDA_PREFIX=/arc/home/kilbinger/.conda/envs/shapepipe +PATH=$PATH:$CONDA_PREFIX/bin +if [ "$debug_out" != "-1" ]; then + echo "${pat}conda prefix = ${CONDA_PREFIX}" >> $debug_out + echo "${pat}HOME = ${HOME}" >> $debug_out + echo "${pat}path = ${PATH}" >> $debug_out +fi cd $dir echo $pwd @@ -232,13 +263,10 @@ command "ln -sf $dir/output/run_sp_Ma_exp" $dry_run # exp Sp command "ln -sf $dir/output/run_sp_exp_SpMh" $dry_run - -#(( do_job = $job & 16 )) -#&& [ $do_job != 0 ]; then if [ "$mh_local" == "1" ]; then # Remove previous Sx runs - command "rm -rf $dir/output/run_tile_Sx_*" $dry_run + command "rm -rf run_sp_tile_Sx_*" $dry_run if [ "$ID" == "-1" ]; then echo "ID needs to be given (option -e) for mh_local and job&16" @@ -277,14 +305,12 @@ if [ "$mh_local" == "1" ]; then command "shapepipe_run -c cfis/config_exp_Mh.ini" $dry_run cd output - # Remove previous Sextractor run - #command "rm -rf run_sp_tile_Sx_*" $dry_run fi (( do_job = $job & 16 )) if [[ $do_job != 0 ]]; then # Remove previous Sx runs - command "rm -rf $dir/output/run_tile_Sx_*" $dry_run + command "rm -rf run_sp_tile_Sx_*" $dry_run fi # Update links to exposure run directories, which were created in job 32 @@ -295,11 +321,11 @@ if [[ $do_job != 0 ]]; then command "link_to_exp_for_tile.py -t $ID -i tile_runs -I exp_runs" $dry_run cd ${kind}_runs/$ID/output - # Remove duplicate job-32 runs (tile detection) - n_32=`ls -rt1d run_sp_tile_Sx_* | wc -l` - if [ "$n_32" != "1" ]; then - n_remove="$(($n_32-1))" - echo "removing $n_remove duplicate old job-32 runs" + # Remove duplicate job-16 runs (tile detection) + n_16=`ls -rt1d run_sp_tile_Sx_* | wc -l` + if [ "$n_16" != "1" ]; then + n_remove="$(($n_16-1))" + echo "removing $n_remove duplicate old job-16 runs" command "rm -rf `ls -rt1d run_sp_tile_Sx_* | head -$n_remove`" $dry_run fi @@ -308,6 +334,13 @@ if [[ $do_job != 0 ]]; then fi fi +(( do_job = $job & 256 )) +if [[ $do_job != 0 ]]; then + # Remove previous runs of this job + rm -rf run_sp_tile_??ViSmVi_20??_* + +fi + (( do_job = $job & 256 )) if [[ $do_job != 0 ]]; then @@ -339,8 +372,12 @@ echo $CONDA_PREFIX # To avoid (new?) qt error with setools (-j 32) export DISPLAY=:1.0 -command "job_sp_canfar.bash -p psfex -j $job -e $ID --n_smp $N_SMP" $dry_run +command "job_sp_canfar.bash -p psfex -j $job -e $ID --n_smp $N_SMP --nsh_jobs $N_SMP --debug_out $debug_out" $dry_run cd $dir -echo "end init run tile canfar" +msg="End $(basename "$0")" +echo $msg +if [ "$debug_out" != "-1" ]; then + echo $pat$msg >> $debug_out- +fi diff --git a/scripts/sh/job_sp_canfar.bash b/scripts/sh/job_sp_canfar.bash index 88ceae36c..c5e9663ad 100755 --- a/scripts/sh/job_sp_canfar.bash +++ b/scripts/sh/job_sp_canfar.bash @@ -1,4 +1,4 @@ -#!/usr/bin/env bash +#!/bin/bash # Name: job_sp_canfar.bash # Description: General script to process one or more tiles @@ -21,6 +21,9 @@ exclusive='' results='cosmostat/kilbinger/results_v2' n_smp=-1 nsh_jobs=8 +debug_out=-1 + +pat="--- " ## Help string usage="Usage: $(basename "$0") [OPTIONS] [TILE_ID] @@ -54,6 +57,8 @@ usage="Usage: $(basename "$0") [OPTIONS] [TILE_ID] --nsh_jobs NJOB\n \tnumber of objects per parallel shape module call, \n \tdefault: optimal number is computed\n + --debug_out PATH\n + \tdebug output file PATH, default not used\n TILE_ID_i\n \ttile ID(s), e.g. 283.247 214.242\n " @@ -107,6 +112,10 @@ while [ $# -gt 0 ]; do nsh_jobs="$2" shift ;; + --debug_out) + debug_out="$2" + shift + ;; esac shift done @@ -127,6 +136,14 @@ if [ "$retrieve" != "vos" ] && [ "$retrieve" != "symlink" ]; then exit 5 fi +if [ "$debug_out" != "-1" ]; then + echo $pat`date` >> $debug_out + echo "${pat}Starting $(basename "$0")" >> $debug_out +fi + +CONDA_PREFIX=/arc/home/kilbinger/.conda/envs/shapepipe +PATH=$PATH:$CONDA_PREFIX/bin + # For tar archives. TODO: Should be unique to each job export ID="test" @@ -164,7 +181,7 @@ export VCP="vcp --certfile=$CERTFILE" # Print string, executes command, and prints return value. function command () { - cmd=$1 + cmd=$1 str=$2 RED='\033[0;31m' @@ -176,19 +193,40 @@ function command () { #NC='' + if [ "$debug_out" != "-1" ]; then + echo "${pat}pwd = `pwd`" >> $debug_out + echo "${pat}SP_RUN = $SP_RUN" >> $debug_out + echo "${pat}SP_CONFIG = $SP_CONFIG" >> $ddebug_out + fi + if [ $# == 2 ]; then if [ $VERBOSE == 1 ]; then echo "$str: running '$cmd'" fi + if [ "$debug_out" != "-1" ]; then + echo "${pat}Running $cmd" >> $debug_out + fi + $cmd + else if [ $VERBOSE == 1 ]; then echo "$str: running '$cmd $4 \"$5 $6\"'" fi + if [ "$debug_out" != "-1" ]; then + echo "${pat}Running $cmd $4 \"$5 $6\"" >> $debug_out + fi + $cmd $4 "$5 $6" + fi + res=$? + if [ "$debug_out" != "-1" ]; then + echo "${pat}exit code = $res" >> $debug_out + fi + if [ $VERBOSE == 1 ]; then if [ $res == 0 ]; then echo -e "${GREEN}success, return value = $res${NC}" @@ -226,6 +264,7 @@ function command_cfg_shapepipe() { fi config_upd=$(set_config_n_smp $config_name $_n_smp) + #local cmd="/arc/home/kilbinger/.conda/envs/shapepipe/bin/shapepipe_run -c $config_upd $exclusive_flag" local cmd="shapepipe_run -c $config_upd $exclusive_flag" command_sp "$cmd" "$str" } @@ -303,6 +342,7 @@ mkdir -p $SP_CONFIG_MOD # Processing + ### Retrieve config files if [[ $config_dir == *"vos:"* ]]; then command_sp "$VCP $config_dir ." "Retrieve shapepipe config files" @@ -522,3 +562,7 @@ if [[ $do_job != 0 ]]; then $exclusive fi + +if [ "$debug_out" != "-1" ]; then + echo "${pat}End $(basename "$0")" >> $debug_out +fi From ae97110b4d96161144640a194d3efc9a9a3516d3 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 12 Jul 2024 14:32:48 +0000 Subject: [PATCH 084/217] shapepipe_run script adopted to new canfar env --- scripts/python/shapepipe_run.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/scripts/python/shapepipe_run.py b/scripts/python/shapepipe_run.py index 18d7de774..a60f1eaed 100755 --- a/scripts/python/shapepipe_run.py +++ b/scripts/python/shapepipe_run.py @@ -1,4 +1,4 @@ -#! /usr/bin/env python +#!/arc/home/kilbinger/.conda/envs/shapepipe/bin/python """SHAPEPIPE RUN SCRIPT From ebb40b1ea611ce7d721db7db067b338c35030938 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 12 Jul 2024 14:33:21 +0000 Subject: [PATCH 085/217] setools matplotlib Agg to avoid display error --- shapepipe/modules/setools_package/setools.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/shapepipe/modules/setools_package/setools.py b/shapepipe/modules/setools_package/setools.py index a54ce8515..c430b52b1 100644 --- a/shapepipe/modules/setools_package/setools.py +++ b/shapepipe/modules/setools_package/setools.py @@ -12,6 +12,9 @@ import re import string +import matplotlib +matplotlib.use('Agg') + import matplotlib.pylab as plt import numpy as np From ca026efd54b625a3f170e7e6aec1bdca225a6e53 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Thu, 29 Aug 2024 10:11:51 +0000 Subject: [PATCH 086/217] ngmix: catching missing keys in postage stamp sqlite database files --- shapepipe/modules/ngmix_package/ngmix.py | 35 ++++++++++++++++++------ 1 file changed, 26 insertions(+), 9 deletions(-) diff --git a/shapepipe/modules/ngmix_package/ngmix.py b/shapepipe/modules/ngmix_package/ngmix.py index 16f134f7b..a5cb28b54 100644 --- a/shapepipe/modules/ngmix_package/ngmix.py +++ b/shapepipe/modules/ngmix_package/ngmix.py @@ -321,6 +321,16 @@ def save_results(self, output_dict): for key in output_dict.keys(): f.save_as_fits(output_dict[key], ext_name=key.upper()) + + @classmethod + def check_key(self, expccd_name_tmp, vign_cat[str_id_tmp], path): + if expccd_name_tmp not in vign_cat[str_id_tmp]: + raise KeyError( + "Key '{expccd_name_tmp}' (exposure CCD ID from PSF postage stamp list)" + + + " not found in postage stamp database" + + + f" file '{self._vignet_path}'" + ) + def process(self): """Process. @@ -367,6 +377,7 @@ def process(self): if id_first == -1: id_first = id_tmp id_last = id_tmp + str_id_tmp = str(id_tmp) count = count + 1 @@ -376,21 +387,27 @@ def process(self): weight_vign = [] flag_vign = [] jacob_list = [] - if (psf_vign_cat[str(id_tmp)] == "empty") or ( - gal_vign_cat[str(id_tmp)] == "empty" + if (psf_vign_cat[str_id_tmp] == "empty") or ( + gal_vign_cat[str_id_tmp] == "empty" ): continue - psf_expccd_name = list(psf_vign_cat[str(id_tmp)].keys()) + psf_expccd_name = list(psf_vign_cat[str_id_tmp].keys()) for expccd_name_tmp in psf_expccd_name: + + check_key(expccd_name_tmp, gal_vign_cat[str_id_tmp], self._gal_vignet_path) + check_key(expccd_name_tmp, bkg_vign_cat[str_id_tmp], self._bkg_vignet_path) + check_key(expccd_name_tmp, flag_vign_cat[str_id_tmp], self._flag_vignet_path) + check_key(expccd_name_tmp, weight_vign_cat[str_id_tmp], self._weight_vignet_path) + exp_name, ccd_n = re.split("-", expccd_name_tmp) - gal_vign_tmp = gal_vign_cat[str(id_tmp)][expccd_name_tmp][ + gal_vign_tmp = gal_vign_cat[str_id_tmp][expccd_name_tmp][ "VIGNET" ] if len(np.where(gal_vign_tmp.ravel() == 0)[0]) != 0: continue - bkg_vign_tmp = bkg_vign_cat[str(id_tmp)][expccd_name_tmp][ + bkg_vign_tmp = bkg_vign_cat[str_id_tmp][expccd_name_tmp][ "VIGNET" ] gal_vign_sub_bkg = gal_vign_tmp - bkg_vign_tmp @@ -399,7 +416,7 @@ def process(self): np.copy(tile_vign[i_tile]), int(ccd_n) ) - flag_vign_tmp = flag_vign_cat[str(id_tmp)][expccd_name_tmp][ + flag_vign_tmp = flag_vign_cat[str_id_tmp][expccd_name_tmp][ "VIGNET" ] flag_vign_tmp[np.where(tile_vign_tmp == -1e30)] = 2**10 @@ -407,7 +424,7 @@ def process(self): if len(np.where(v_flag_tmp != 0)[0]) / (51 * 51) > 1 / 3.0: continue - weight_vign_tmp = weight_vign_cat[str(id_tmp)][expccd_name_tmp][ + weight_vign_tmp = weight_vign_cat[str_id_tmp][expccd_name_tmp][ "VIGNET" ] @@ -427,10 +444,10 @@ def process(self): gal_vign.append(gal_vign_scaled) psf_vign.append( - psf_vign_cat[str(id_tmp)][expccd_name_tmp]["VIGNET"] + psf_vign_cat[str_id_tmp][expccd_name_tmp]["VIGNET"] ) sigma_psf.append( - psf_vign_cat[str(id_tmp)][expccd_name_tmp]["SHAPES"][ + psf_vign_cat[str_id_tmp][expccd_name_tmp]["SHAPES"][ "SIGMA_PSF_HSM" ] ) From 126be96ac9b191b91a9bcfde1ad780bdf69d2714 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Thu, 29 Aug 2024 10:15:08 +0000 Subject: [PATCH 087/217] combin runs script: added tile_detection --- docs/source/pipeline_canfar.md | 6 +- example/cfis/config_exp_Sp.ini | 6 +- scripts/python/summary_params_pre_v2.py | 5 +- scripts/sh/combine_runs.bash | 9 ++- scripts/sh/curl_canfar_local.sh | 5 +- scripts/sh/job_sp_canfar.bash | 2 +- scripts/sh/stats_jobs_canfar.sh | 6 +- shapepipe/utilities/summary.py | 99 +++++++++++++++---------- 8 files changed, 84 insertions(+), 54 deletions(-) diff --git a/docs/source/pipeline_canfar.md b/docs/source/pipeline_canfar.md index 23a76692b..a0e5b16bc 100644 --- a/docs/source/pipeline_canfar.md +++ b/docs/source/pipeline_canfar.md @@ -30,7 +30,7 @@ export SP_RUN=`pwd` shapepipe_run -c cfis/config_Git_vos.ini ls -l data_tiles/ | wc; mv -i output/run_sp_Git_*/get_images_runner/output/CFIS.???.???.*fits* data_tiles; ls -l data_tiles/ | wc -rm -rf output/run_sp_Git_*; update_run_log_file.py +rm -rf output/run_sp_Git_*; update_runs_log_file.py # repeat the above block ### Find exposures; this run can be stopped after Fe @@ -41,9 +41,9 @@ shapepipe_run -c cfis/config_GitFe_symlink.ini shapepipe_run -c cfis/config_Gie_vos.ini mv -i output/run_sp_Gie_*/get_images_runner/output/*.fits*fz data_exp rm -rf output/run_sp_Gie_* -update_run_log_file.py +update_runs_log_file.py # repeat the above; or: -while true; do shapepipe_run -c cfis/config_Gie_vos.ini; ls -l data_exp/ | wc; mv -i output/run_sp_Gie_*/get_images_runner/output/*.fits*fz data_exp; ls -l data_exp/ | wc; rm -rf output/run_sp_Git_*; update_run_log_file.py; done +while true; do shapepipe_run -c cfis/config_Gie_vos.ini; ls -l data_exp/ | wc; mv -i output/run_sp_Gie_*/get_images_runner/output/*.fits*fz data_exp; ls -l data_exp/ | wc; rm -rf output/run_sp_Git_*; update_runs_log_file.py; done # Make sure that after all images are downloaded there is no Gie run. This would # mess up later modules since last:get_image_runner could point to this run. diff --git a/example/cfis/config_exp_Sp.ini b/example/cfis/config_exp_Sp.ini index 491b17bdf..f8ee85757 100644 --- a/example/cfis/config_exp_Sp.ini +++ b/example/cfis/config_exp_Sp.ini @@ -9,10 +9,10 @@ VERBOSE = True # Name of run (optional) default: shapepipe_run -RUN_NAME = run_sp_exp_Sp +RUN_NAME = run_sp_exp_SpMh # Add date and time to RUN_NAME, optional, default: True -; RUN_DATETIME = False +RUN_DATETIME = False ## ShapePipe execution options @@ -45,7 +45,7 @@ OUTPUT_DIR = $SP_RUN/output [JOB] # Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial -SMP_BATCH_SIZE = 8 +SMP_BATCH_SIZE = 16 # Timeout value (optional), default is None, i.e. no timeout limit applied TIMEOUT = 96:00:00 diff --git a/scripts/python/summary_params_pre_v2.py b/scripts/python/summary_params_pre_v2.py index 5e1fe5a53..62924f472 100644 --- a/scripts/python/summary_params_pre_v2.py +++ b/scripts/python/summary_params_pre_v2.py @@ -168,7 +168,10 @@ def set_jobs_v2_pre_v2(patch, verbose): verbose=verbose, ) - n_sh = 8 + if patch == 2: + n_sh = 1 + else: + n_sh = 8 run_dirs = [f"run_sp_tile_ngmix_Ng{idx+1}u" for idx in range(n_sh)] output_path_missing_IDs = [ f"{path_main}/summary/missing_job_128_ngmix_runner_{idx+1}.txt" diff --git a/scripts/sh/combine_runs.bash b/scripts/sh/combine_runs.bash index be1b4f04e..c264f3cbf 100755 --- a/scripts/sh/combine_runs.bash +++ b/scripts/sh/combine_runs.bash @@ -50,11 +50,12 @@ done ## Check options if [ "$cat" != "final" ] \ && [ "$cat" != "flag_tile" ] \ + && [ "$cat" != "tile_detection" ] \ && [ "$cat" != "flag_exp" ] \ && [ "$cat" != "psf" ] \ && [ "$cat" != "psf_conv" ] \ && [ "$cat" != "image" ]; then - echo "cat (option -c) needs to be 'final', 'flag_tile', 'flag_exp', 'psf', 'psf_conv' or 'image'" + echo "cat (option -c) needs to be 'final', 'tile_detection', 'flag_tile', 'flag_exp', 'psf', 'psf_conv' or 'image'" exit 2 fi @@ -109,6 +110,12 @@ if [ "$cat" == "final" ]; then module="make_catalog_runner" pattern="final_cat-*" +elif [ "$cat" == "tile_detection" ]; then + + run_in="$pwd/P?/tile_runs/*/$out_base/run_sp_tile_Sx_*" + module="sextractor_runner" + pattern="sexcat-*" + elif [ "$cat" == "flag_tile" ]; then # v1 diff --git a/scripts/sh/curl_canfar_local.sh b/scripts/sh/curl_canfar_local.sh index 85d55c1e2..6d67bded1 100755 --- a/scripts/sh/curl_canfar_local.sh +++ b/scripts/sh/curl_canfar_local.sh @@ -69,7 +69,7 @@ while [ $# -gt 0 ]; do shift ;; -p|--psf) - job="$2" + psf="$2" shift ;; -m|--mh_local) @@ -148,6 +148,7 @@ fi RESOURCES="ram=4&cores=$N_SMP" dir=`pwd` + # Return argument for local script to be called via curl function set_arg() { my_arg="-j $job -p $psf -e $ID -N $N_SMP $arg_dry_run -d $dir -m $mh_local --debug_out $debug_out" @@ -172,7 +173,7 @@ function call_curl() { if [ "$debug_out" != "=1" ]; then echo "${pat}call_curl $my_name $my_arg" >> $debug_out - echo "Running ${cmd[@]} (dry_run=$dry_run)" >> $debug_out + echo "${pat}Running ${cmd[@]} (dry_run=$dry_run)" >> $debug_out fi echo "${cmd[@]} (dry_run=$dry_run)" diff --git a/scripts/sh/job_sp_canfar.bash b/scripts/sh/job_sp_canfar.bash index c5e9663ad..eb02455f5 100755 --- a/scripts/sh/job_sp_canfar.bash +++ b/scripts/sh/job_sp_canfar.bash @@ -196,7 +196,7 @@ function command () { if [ "$debug_out" != "-1" ]; then echo "${pat}pwd = `pwd`" >> $debug_out echo "${pat}SP_RUN = $SP_RUN" >> $debug_out - echo "${pat}SP_CONFIG = $SP_CONFIG" >> $ddebug_out + echo "${pat}SP_CONFIG = $SP_CONFIG" >> $debug_out fi if [ $# == 2 ]; then diff --git a/scripts/sh/stats_jobs_canfar.sh b/scripts/sh/stats_jobs_canfar.sh index 166292a06..f3db019d0 100755 --- a/scripts/sh/stats_jobs_canfar.sh +++ b/scripts/sh/stats_jobs_canfar.sh @@ -63,10 +63,12 @@ esac curl -E $SSL $SESSION &> /dev/null > $tmpfile_jobs # Get headless job IDs -cat $tmpfile_jobs | grep headless -B 4 -A 12 | grep \"id | perl -F\" -ane 'print "$F[3]\n"' > $tmpfile_ids +#cat $tmpfile_jobs | grep headless -B 4 -A 12 | grep \"id | perl -F\" -ane 'print "$F[3]\n"' > $tmpfile_ids +cat $tmpfile_jobs | grep headless -B 4 -A 2 | grep Running -A 1 > $tmpfile_ids + # Get running job info -cat $tmpfile_jobs | grep Running -A 1 | grep name | perl -F\- -ane 'chomp; $F[4] =~ s/[",]//g; print "$F[3].$F[4]"' > $tmpfile_running +cat $tmpfile_ids | grep name | perl -F\- -ane 'chomp; $F[4] =~ s/[",]//g; print "$F[3].$F[4]"' > $tmpfile_running # Number of jobs n_headless=`cat $tmpfile_ids | wc -l` diff --git a/shapepipe/utilities/summary.py b/shapepipe/utilities/summary.py index 140edf0d9..6171905b5 100755 --- a/shapepipe/utilities/summary.py +++ b/shapepipe/utilities/summary.py @@ -15,7 +15,7 @@ from tqdm import tqdm -print("summaary v1.2") +print("summaary v1.4") def init_par_runtime(list_tile_IDs): @@ -169,20 +169,20 @@ def check_special_one(module, path): if m: value = int(m[1]) if value < 2: + code = 0 msg = ( f"Not enough stars for random split:" + f" #stars = {value}" ) - return msg + return msg, code break m = re.search("Mode computation failed", line) if m: + code = 1 msg = "Mode computation of stellar locus failed" - return msg + return msg, code - - return None - + return None, None class job_data(object): @@ -290,11 +290,8 @@ def print_stats_header(self): """ logging.info( - "module expected found miss_expl" - + " missing uniq_miss fr_found" - #logging.info( - #"module expected found" - #+ " missing uniq_miss fr_found" + "module expected found" + + " missing uniq_miss fr_found" ) logging.info("=" * 100) @@ -303,7 +300,7 @@ def print_stats( module, n_expected, n_found, - n_missing_explained, + n_special, n_missing, idx, ): @@ -319,28 +316,34 @@ def print_stats( number of expected files n_found: int number of found files - n_missing_explained: int - number of missing but explained files + n_special: int + number of special cases n_missing: int number of missing files idx: int module index """ - if n_expected > 0: - fraction_found = n_found / n_expected - else: - fraction_found = 1 - - n_missing_per_mult = n_missing / self._n_mult[idx] - module_str = module - if self._special[idx]: + + if not self._special[idx]: + if n_expected > 0: + fraction_found = n_found / n_expected + else: + fraction_found = 1 + + n_missing_per_mult = n_missing / self._n_mult[idx] + + else: module_str = f"{module_str} (special)" + n_found = n_special + n_missing = -1 + n_missing_per_mult = -1 + fraction_found = n_found / n_expected + n_expected = -1 logging.info( f"{module_str:30s} {n_expected:9d} {n_found:9d}" - + f" {n_missing_explained:9d}" + f" {n_missing:9d}" + f" {n_missing_per_mult:9.1f} {fraction_found:9.1%}" ) @@ -409,26 +412,40 @@ def write_IDs_to_file(self, output_path, IDs): def check_special(self, module, idx): - messages = [] + messages = {} + if self._special[idx]: + + # Loop over input file names and paths for name, path in zip(self._names_in_dir[idx], self._paths_in_dir[idx]): - msg = check_special_one(module, path) + # Check if special case is found + msg, code = check_special_one(module, path) if msg: - messages.append(f"{name} {msg}") - - - if messages: - output_path = ( - f"{self._path_main}/summary/special_job_{self._bit}" - + f"_{module}.txt" - ) - with open(output_path, "w") as f_out: - for msg in messages: - print(msg, file=f_out) - - return len(messages) - + # First time occurance: create empty list for this code + if code not in messages: + messages[code] = [msg] + else: + # Append file name, message, and code + messages[code].append(f"{name} {code} {msg}") + + if len(messages) > 0: + # Loop over codes = key in messages dict + for code in messages: + # Create output file for this code + output_path = ( + f"{self._path_main}/summary/special_job_{self._bit}" + + f"_{module}_{code}.txt" + ) + # Write all messages + with open(output_path, "w") as f_out: + for msg in messages[code]: + print(msg, file=f_out) + + # Count all special cases = sum of cases over all codes + n_all = sum([len(messages[code]) for code in messages]) + return n_all + def output_missing( self, module, @@ -684,7 +701,7 @@ def check_numbers(self, par_runtime=None, indices=None): n_expected = n_expected_base * self._n_mult[idx] n_missing = n_expected - n_found - n_missing_explained = self.check_special( + n_special = self.check_special( module, idx, ) @@ -694,7 +711,7 @@ def check_numbers(self, par_runtime=None, indices=None): module, n_expected, n_found, - n_missing_explained, + n_special, n_missing, idx, ) From 08d7a7cbfcafb32c5dee7159bc67d4f58ac0392a Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Tue, 8 Oct 2024 06:57:28 +0000 Subject: [PATCH 088/217] cleaned up convery pix script --- scripts/python/convert_psf_pix2world.py | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/scripts/python/convert_psf_pix2world.py b/scripts/python/convert_psf_pix2world.py index bfe136236..dea99656b 100755 --- a/scripts/python/convert_psf_pix2world.py +++ b/scripts/python/convert_psf_pix2world.py @@ -379,6 +379,7 @@ def params_default(self): "input_base_dir": ".", "output_base_dir": ".", "mode": "merge", + "patches": "", "psf": "psfex", "file_pattern_psfint": "validation_psf", } @@ -387,6 +388,7 @@ def params_default(self): "input_base_dir": "-i", "mode": "-m", "psf": "-p", + "patches": "-P", } self._types = {} @@ -401,6 +403,7 @@ def params_default(self): "run mode, allowed are 'merge', 'test'; default is" + " '{}'" ), "psf": "PSF model, allowed are 'psfex' and 'mccd'; default is {}", + "patches": "(list of) input patches", } # Output column names with types @@ -432,7 +435,8 @@ def update_params(self): """ if self._params["psf"] == "psfex": - self._params["sub_dir_pattern"] = "run_sp_exp_202" + #self._params["sub_dir_pattern"] = "run_sp_exp_202" + self._params["sub_dir_pattern"] = "run_sp_combined_psf" self._params["sub_dir_psfint"] = "psfex_interp_runner" elif self._params["psf"] == "mccd": self._params["sub_dir_pattern"] = "run_sp_exp_SxSePsf_202" @@ -453,9 +457,7 @@ def run(self): if self._params["mode"] == "test": patch_nums = ["3", "4"] else: - n_patch = 7 - # patch_nums = [idx for idx in np.arange(n_patch) + 1] - patch_nums = [1, 3, 4] + patch_nums = cs_args.my_string_split(self._params["patches"]) do_parallel = True From 8b4619cbdd7e2a422e85164ea6cd98a6987c4b61 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Tue, 8 Oct 2024 06:58:22 +0000 Subject: [PATCH 089/217] summary added special, n_sh as variable --- scripts/python/summary_params_pre_v2.py | 11 ++++++++--- shapepipe/utilities/summary.py | 21 ++++++++++++++++++++- 2 files changed, 28 insertions(+), 4 deletions(-) diff --git a/scripts/python/summary_params_pre_v2.py b/scripts/python/summary_params_pre_v2.py index 62924f472..70eda073c 100644 --- a/scripts/python/summary_params_pre_v2.py +++ b/scripts/python/summary_params_pre_v2.py @@ -155,20 +155,23 @@ def set_jobs_v2_pre_v2(patch, verbose): "64", "run_sp_tile_PsViSmVi", [ + "psfex_interp_runner", "psfex_interp_runner", "vignetmaker_runner_run_1", "spread_model_runner", "vignetmaker_runner_run_2", ], "tile_IDs", - n_mult=[1, 1, 1, 4], + n_mult=[1, 1, 1, 1, 4], path_main=path_main, path_left="tile_runs", output_subdirs=[f"{tile_ID}/output" for tile_ID in list_tile_IDs_dot], + path_output=["output", "logs", "output", "output", "output"], + special=[False, True, False, False, False], verbose=verbose, ) - if patch == 2: + if patch in ("P2", "P5"): n_sh = 1 else: n_sh = 8 @@ -180,7 +183,7 @@ def set_jobs_v2_pre_v2(patch, verbose): jobs["128"] = job_data( "128", run_dirs, - ["ngmix_runner"] * 8, + ["ngmix_runner"] * n_sh, "tile_IDs", path_main=path_main, path_left="tile_runs", @@ -233,3 +236,5 @@ def set_jobs_v2_pre_v2(patch, verbose): ) return jobs, list_tile_IDs_dot + + diff --git a/shapepipe/utilities/summary.py b/shapepipe/utilities/summary.py index 6171905b5..201cbcd30 100755 --- a/shapepipe/utilities/summary.py +++ b/shapepipe/utilities/summary.py @@ -182,6 +182,23 @@ def check_special_one(module, path): msg = "Mode computation of stellar locus failed" return msg, code + if module == "psfex_interp_runner": + m = re.search("Key N_EPOCH not found", line) + if m: + code = 2 + msg = "N_EPOCH not in SEx cat, rerun job 16" + return msg, code + + m = re.search( + "ValueError: cannot reshape array of size 0 into shape", + line, + ) + if m: + code = 3 + msg = "found array of size 0" + return msg, code + + return None, None @@ -485,7 +502,9 @@ def output_missing( ID = match.group() IDs.append(ID) else: - raise ValueError(f"No ID found in {name}") + msg = f"No ID found in {name}" + #raise ValueError(msg) + print(f"Warning: msg, continuing") ## Count occurences From e5c8046634477c9ea9e591ff98266de795b43e2f Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Tue, 8 Oct 2024 06:58:38 +0000 Subject: [PATCH 090/217] debugging curl canfar --- scripts/sh/curl_canfar_local.sh | 13 ++++++++----- 1 file changed, 8 insertions(+), 5 deletions(-) diff --git a/scripts/sh/curl_canfar_local.sh b/scripts/sh/curl_canfar_local.sh index 6d67bded1..13e087936 100755 --- a/scripts/sh/curl_canfar_local.sh +++ b/scripts/sh/curl_canfar_local.sh @@ -20,7 +20,7 @@ cmd_remote="$HOME/shapepipe/scripts/sh/init_run_exclusive_canfar.sh" batch_max=200 dry_run=0 mh_local=0 -debug_out=-1 +debug_out="-1" pat="- " @@ -163,19 +163,20 @@ function call_curl() { my_arg=$(set_arg) if [ "$dry_run" == "0" ]; then - - my_session=`curl -E $SSL "$SESSION?$RESOURCES" -d "image=$IMAGE:$version" -d "name=${my_name}" -d "cmd=$cmd_remote" --data-urlencode "args=${my_arg[@]}"` - # &> /dev/null` + + cp ~/sicher.pem ~/.ssl/cadcproxy.pem + my_session=`curl -E $SSL "$SESSION?$RESOURCES" -d "image=$IMAGE:$version" -d "name=${my_name}" -d "cmd=$cmd_remote" --data-urlencode "args=${my_arg[@]}" &> /dev/null` fi cmd=("curl" "-E" "$SSL" "$SESSION?$RESOURCES" "-d" "image=$IMAGE:$version" "-d" "name=${my_name}" "-d" "cmd=$cmd_remote" "--data-urlencode" "args=\"${my_arg}\"") - if [ "$debug_out" != "=1" ]; then + if [ "$debug_out" != "-1" ]; then echo "${pat}call_curl $my_name $my_arg" >> $debug_out echo "${pat}Running ${cmd[@]} (dry_run=$dry_run)" >> $debug_out fi echo "${cmd[@]} (dry_run=$dry_run)" + cp ~/sicher.pem ~/.ssl/cadcproxy.pem # Running $cmd does not work due to unknown problems with passing of args @@ -288,6 +289,8 @@ else fi +echo "Done $(basename "$0")" + if [ "$debug_out" != "-1" ]; then echo "${pat}End $(basename "$0")" >> $debug_out fi From c8f657a3a73da362484c37e1200d08defd1c7e8b Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Tue, 8 Oct 2024 06:58:58 +0000 Subject: [PATCH 091/217] clarified doc on merging star cat --- docs/source/pipeline_canfar.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/docs/source/pipeline_canfar.md b/docs/source/pipeline_canfar.md index a0e5b16bc..833278ee5 100644 --- a/docs/source/pipeline_canfar.md +++ b/docs/source/pipeline_canfar.md @@ -111,13 +111,15 @@ shapepipe_run -c $SP_CONFIG/config_Pl_$psf.ini # Convert star cat to WCS ## Convert all input validation psf files and create directories par patch ## psf_conv_all/P? -cd star_cat -convert_psf_pix2world.py -i .. -v -p mccd +cd ../star_cat + ~/shapepipe/scripts/python/convert_psf_pix2world.py -i ../ -P $patch -v # Combine previously created files within one SP run dir +cd P$patch combine_runs.bash -p psfex -c psf_conv # Merge all converted star catalogues and create final-starcat.fits +export SP_RUN=`pwd` shapepipe_run -c ~/shapepipe/example/cfis/config_Ms_psfex_conv.ini From e0eb0f4fca45d951f85f400eac90358a0885a972 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Tue, 8 Oct 2024 07:00:20 +0000 Subject: [PATCH 092/217] Added checks and improved messages for keys in FITS files --- scripts/python/merge_final_cat.py | 11 +++++- .../merge_starcat_package/merge_starcat.py | 16 +++++--- shapepipe/modules/ngmix_package/ngmix.py | 37 +++++++++++++------ shapepipe/modules/ngmix_runner.py | 2 + 4 files changed, 49 insertions(+), 17 deletions(-) diff --git a/scripts/python/merge_final_cat.py b/scripts/python/merge_final_cat.py index e634cd723..ed0b962e8 100755 --- a/scripts/python/merge_final_cat.py +++ b/scripts/python/merge_final_cat.py @@ -285,6 +285,7 @@ def get_data(path, hdu_num, param_list): def main(argv=None): + # Set default parameters p_def = params_default() @@ -296,18 +297,26 @@ def main(argv=None): param = update_param(p_def, options) + if param.verbose: + print("Start") + # Save command line arguments to log file f_log = cfis.log_command(argv, close_no_return=False) path = param.input_path + if param.verbose: + print("Read parameter file") param.param_list = read_param_file(param.param_path, verbose=param.verbose) # read (optional) input tile ID file if param.tile_ID_list_path: + if param.verbose: + print("Read tile ID list") tile_ID_list = cfis.read_list(param.tile_ID_list_path) - # find input catalogue FITS files + if param.verbose: + print("Find input catalogue FITS files") l = os.listdir(path=path) ext = "fits" lpath = [] diff --git a/shapepipe/modules/merge_starcat_package/merge_starcat.py b/shapepipe/modules/merge_starcat_package/merge_starcat.py index 884c45498..67c258f96 100644 --- a/shapepipe/modules/merge_starcat_package/merge_starcat.py +++ b/shapepipe/modules/merge_starcat_package/merge_starcat.py @@ -235,13 +235,14 @@ def process(self): my_mask[inside_circle] = True for name in self._input_file_list: - starcat_j = fits.open(name[0], memmap=False) - try: - stars = np.copy(starcat_j[self._hdu_table].data["VIGNET_LIST"]) + starcat_j = fits.open(name[0], memmap=False, ignore_missing_simple=True) except ValueError: print(f"Error for file {name[0]}, check FITS file integrity") - raise + #raise + continue + + stars = np.copy(starcat_j[self._hdu_table].data["VIGNET_LIST"]) stars[stars < -1e6] = 0 psfs = np.copy(starcat_j[self._hdu_table].data["PSF_VIGNET_LIST"]) @@ -542,7 +543,12 @@ def process(self): ) for name in self._input_file_list: - starcat_j = fits.open(name[0], memmap=False) + try: + starcat_j = fits.open(name[0], memmap=False, ignore_missing_simple=True) + except OSError as e: + print(f"Error while opening file '{name[0]}'") + #raise + continue data_j = starcat_j[self._hdu_table].data diff --git a/shapepipe/modules/ngmix_package/ngmix.py b/shapepipe/modules/ngmix_package/ngmix.py index fe471c6a0..9a731d66e 100644 --- a/shapepipe/modules/ngmix_package/ngmix.py +++ b/shapepipe/modules/ngmix_package/ngmix.py @@ -323,12 +323,12 @@ def save_results(self, output_dict): @classmethod - def check_key(self, expccd_name_tmp, vign_cat[str_id_tmp], path): - if expccd_name_tmp not in vign_cat[str_id_tmp]: + def check_key(self, expccd_name_tmp, vign_cat, vignet_path): + if expccd_name_tmp not in vign_cat: raise KeyError( - "Key '{expccd_name_tmp}' (exposure CCD ID from PSF postage stamp list)" + - + " not found in postage stamp database" + - + f" file '{self._vignet_path}'" + f"Key '{expccd_name_tmp}' (exposure CCD ID from PSF postage stamp list)" + + " not found in postage stamp database" + + f" file '{vignet_path}'" ) def process(self): @@ -367,6 +367,7 @@ def process(self): id_first = -1 id_last = -1 + self._w_log.info(f"Processing objects # {self._id_obj_min} ... {self._id_obj_max}") for i_tile, id_tmp in enumerate(obj_id): if self._id_obj_min > 0 and id_tmp < self._id_obj_min: @@ -385,10 +386,15 @@ def process(self): weight_vign = [] flag_vign = [] jacob_list = [] - if psf_vign_cat[str(id_tmp)] == "empty": + if psf_vign_cat[str_id_tmp] == "empty": self._w_log.info(f"Skipping object {id_tmp}: empty PSF vignet") continue - if gal_vign_cat[str(id_tmp)] == "empty": + + self.check_key(str_id_tmp, gal_vign_cat, self._gal_vignet_path) + self.check_key(str_id_tmp, bkg_vign_cat, self._bkg_vignet_path) + self.check_key(str_id_tmp, flag_vign_cat, self._flag_vignet_path) + self.check_key(str_id_tmp, weight_vign_cat, self._weight_vignet_path) + if gal_vign_cat[str_id_tmp] == "empty": self._w_log.info( f"Skipping object {id_tmp}: empty galaxy vignet" ) @@ -397,10 +403,10 @@ def process(self): psf_expccd_name = list(psf_vign_cat[str(id_tmp)].keys()) for expccd_name_tmp in psf_expccd_name: - check_key(expccd_name_tmp, gal_vign_cat[str_id_tmp], self._gal_vignet_path) - check_key(expccd_name_tmp, bkg_vign_cat[str_id_tmp], self._bkg_vignet_path) - check_key(expccd_name_tmp, flag_vign_cat[str_id_tmp], self._flag_vignet_path) - check_key(expccd_name_tmp, weight_vign_cat[str_id_tmp], self._weight_vignet_path) + self.check_key(expccd_name_tmp, gal_vign_cat[str_id_tmp], self._gal_vignet_path) + self.check_key(expccd_name_tmp, bkg_vign_cat[str_id_tmp], self._bkg_vignet_path) + self.check_key(expccd_name_tmp, flag_vign_cat[str_id_tmp], self._flag_vignet_path) + self.check_key(expccd_name_tmp, weight_vign_cat[str_id_tmp], self._weight_vignet_path) exp_name, ccd_n = re.split("-", expccd_name_tmp) @@ -408,6 +414,9 @@ def process(self): "VIGNET" ] if len(np.where(gal_vign_tmp.ravel() == 0)[0]) != 0: + self._w_log.info( + f"Skipping exp {expccd_name_tmp} for object {id_tmp}: zero-length galaxy vignet" + ) continue bkg_vign_tmp = bkg_vign_cat[str_id_tmp][expccd_name_tmp][ @@ -425,6 +434,9 @@ def process(self): flag_vign_tmp[np.where(tile_vign_tmp == -1e30)] = 2**10 v_flag_tmp = flag_vign_tmp.ravel() if len(np.where(v_flag_tmp != 0)[0]) / (51 * 51) > 1 / 3.0: + self._w_log.info( + f"Skipping exp {expccd_name_tmp} for object {id_tmp}: mask > 1/3" + ) continue weight_vign_tmp = weight_vign_cat[str_id_tmp][expccd_name_tmp][ @@ -459,6 +471,9 @@ def process(self): jacob_list.append(jacob_tmp) if len(gal_vign) == 0: + self._w_log.info( + f"Skipping object {id_tmp}: no exposure vignets added" + ) continue try: res = do_ngmix_metacal( diff --git a/shapepipe/modules/ngmix_runner.py b/shapepipe/modules/ngmix_runner.py index 80d8e2ea7..9c2c5ca08 100644 --- a/shapepipe/modules/ngmix_runner.py +++ b/shapepipe/modules/ngmix_runner.py @@ -66,7 +66,9 @@ def ngmix_runner( ) # Process ngmix shape measurement and metacalibration + w_log.info("ngmix processing start") ngmix_inst.process() + w_log.info("ngmix end") # No return objects return None, None From ba3a0d8107e540c98bc14752f857b3d982e0bcdc Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Tue, 8 Oct 2024 07:00:44 +0000 Subject: [PATCH 093/217] debugging curl canfar --- scripts/sh/stats_jobs_canfar.sh | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/scripts/sh/stats_jobs_canfar.sh b/scripts/sh/stats_jobs_canfar.sh index f3db019d0..940b26cbf 100755 --- a/scripts/sh/stats_jobs_canfar.sh +++ b/scripts/sh/stats_jobs_canfar.sh @@ -60,6 +60,7 @@ esac # Main program # Get all instances +echo curl -E $SSL $SESSION curl -E $SSL $SESSION &> /dev/null > $tmpfile_jobs # Get headless job IDs @@ -71,7 +72,7 @@ cat $tmpfile_jobs | grep headless -B 4 -A 2 | grep Running -A 1 > $tmpfile_ids cat $tmpfile_ids | grep name | perl -F\- -ane 'chomp; $F[4] =~ s/[",]//g; print "$F[3].$F[4]"' > $tmpfile_running # Number of jobs -n_headless=`cat $tmpfile_ids | wc -l` +n_headless=`cat $tmpfile_ids | grep Running | wc -l` if [ "$mode" == "count" ]; then @@ -82,10 +83,13 @@ elif [ "$mode" == "delete" ]; then echo -n "Delete $n_headless jobs? [y|n] " read answer if [ "$answer" == "y" ]; then + cat $tmpfile_jobs | grep headless -B 34 -A 6 | grep Running -A 34 | grep id | grep -v user | perl -F\" -ane 'print "$F[3]\n"' > $tmpfile_ids for ID in `cat $tmpfile_ids`; do echo $ID # Delete headless jobs - #curl -X DELETE -E $SSL $SESSION/$ID + echo "curl -X DELETE -E $SSL $SESSION/$ID" + curl -X DELETE -E $SSL $SESSION/$ID + echo $? done fi From ca7f3e5d1948a80ad36069f61a35954c82ca5f1d Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Tue, 8 Oct 2024 07:09:25 +0000 Subject: [PATCH 094/217] Pi psfex HDU number changed --- example/cfis/config_Pl_psfex.ini | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/example/cfis/config_Pl_psfex.ini b/example/cfis/config_Pl_psfex.ini index 932263a18..f1c8904cf 100644 --- a/example/cfis/config_Pl_psfex.ini +++ b/example/cfis/config_Pl_psfex.ini @@ -61,7 +61,7 @@ NUMBERING_SCHEME = -0000000 FILE_PATTERN = full_starcat FILE_EXT = .fits -HDU = 2 +HDU = 1 PSF = psfex From e219400061b6d2da7f64b4048f3b54b819f78cf0 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Tue, 8 Oct 2024 07:09:46 +0000 Subject: [PATCH 095/217] cosmetic changes --- scripts/sh/job_sp_canfar.bash | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/scripts/sh/job_sp_canfar.bash b/scripts/sh/job_sp_canfar.bash index eb02455f5..19c51eafb 100755 --- a/scripts/sh/job_sp_canfar.bash +++ b/scripts/sh/job_sp_canfar.bash @@ -181,7 +181,7 @@ export VCP="vcp --certfile=$CERTFILE" # Print string, executes command, and prints return value. function command () { - cmd=$1 + cmd=$1 str=$2 RED='\033[0;31m' From 34edaafe459125989191b6c717b399e7aac78986 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Mon, 21 Oct 2024 11:44:39 +0000 Subject: [PATCH 096/217] doc canfar: options sp_local=0,1 --- docs/source/pipeline_canfar.md | 32 ++++++++++++++++++++++++-------- 1 file changed, 24 insertions(+), 8 deletions(-) diff --git a/docs/source/pipeline_canfar.md b/docs/source/pipeline_canfar.md index 833278ee5..9f867b85e 100644 --- a/docs/source/pipeline_canfar.md +++ b/docs/source/pipeline_canfar.md @@ -35,6 +35,7 @@ rm -rf output/run_sp_Git_*; update_runs_log_file.py ### Find exposures; this run can be stopped after Fe shapepipe_run -c cfis/config_GitFe_symlink.ini +# You can also run Fe alone ### Download and move exposures @@ -43,15 +44,15 @@ mv -i output/run_sp_Gie_*/get_images_runner/output/*.fits*fz data_exp rm -rf output/run_sp_Gie_* update_runs_log_file.py # repeat the above; or: -while true; do shapepipe_run -c cfis/config_Gie_vos.ini; ls -l data_exp/ | wc; mv -i output/run_sp_Gie_*/get_images_runner/output/*.fits*fz data_exp; ls -l data_exp/ | wc; rm -rf output/run_sp_Git_*; update_runs_log_file.py; done +while true; do shapepipe_run -c cfis/config_Gie_vos.ini; ls -l data_exp/ | wc; mv -i output/run_sp_Gie_*/get_images_runner/output/*.fits*fz data_exp; ls -l data_exp/ | wc; rm -rf output/run_sp_Gie_*; update_runs_log_file.py; done # Make sure that after all images are downloaded there is no Gie run. This would # mess up later modules since last:get_image_runner could point to this run. ### Create links (and re-run Fe, not necessary) job_sp_canfar.bash -p $psf `cat tile_numbers.txt` -j 1 -r symlink -# Uncompress weights, split exposures into single HDUs -job_sp_canfar.bash -p $psf -n $OMP_NUM_THREADS -j 2 +# Get single-HDU single-exposure IDs file (from missing 32 job) +~/shapepipe/scripts/python/summary_run.py P$patch [32] # Mask tiles @@ -61,6 +62,19 @@ job_sp_canfar.bash -p $psf -n $OMP_NUM_THREADS -j 4 ## Combine all runs combine_runs.bash -c flag_tile +# Tile detection +curl_canfar_local.sh -j 16 -f tile_numbers.txt -p $psf -N $OMP_NUM_THREADS + +# Option 0, global split and exp masks: sp_local=0 +# Todo: split Uz and SpMh + +# For sp_local=- both mh_local (0, 1) are ok +export mh_local=0 +#export mh_local=1 + +## Uncompress weights, split exposures into single HDUs +job_sp_canfar.bash -p $psf -n $OMP_NUM_THREADS -j 2 + # Mask exposures ## Run repeatedly if necessary @@ -69,17 +83,19 @@ job_sp_canfar.bash -p $psf -n $OMP_NUM_THREADS -j 8 # Combine all runs combine_runs.bash -c flag_exp +# Option 1: sp_local=1, local split and mask exp +export mh_local=1 -# Tile detection -curl_canfar_local.sh -j 16 -f tile_numbers.txt -p $psf -N $OMP_NUM_THREADS +# Split exposures +curl_canfar_local.sh -j 2 -f all.txt -p $psf -N $OMP_NUM_THREADS +# Mask exposures +curl_canfar_local.sh -j 8 -f all.txt -p $psf -N $OMP_NUM_THREADS # Exposure detection -## Get single-HDU single-exposure IDs -~/shapepipe/scripts/python/summary_run.py cp summary/missing_job_32_sextractor.txt all.txt -curl_canfar_local.sh -j 32 -f all.txt -p $psf -N $OMP_NUM_THREADS +curl_canfar_local.sh -j 32 -m $mh_local -f all.txt -p $psf -N $OMP_NUM_THREADS # Tile preparation curl_canfar_local.sh -j 64 -f tile_numbers.txt -p $psf -N $OMP_NUM_THREADS From 96ec184ecc39fdadee612aa6c78dbdfea9da95ea Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Mon, 21 Oct 2024 11:45:18 +0000 Subject: [PATCH 097/217] split image config more flexible --- example/cfis/config_exp_Sp.ini | 4 ++-- example/cfis/config_exp_psfex.ini | 3 ++- 2 files changed, 4 insertions(+), 3 deletions(-) diff --git a/example/cfis/config_exp_Sp.ini b/example/cfis/config_exp_Sp.ini index f8ee85757..2ee1676b8 100644 --- a/example/cfis/config_exp_Sp.ini +++ b/example/cfis/config_exp_Sp.ini @@ -1,5 +1,5 @@ # ShapePipe configuration file for single-exposures, -# split images +# split images, merge headers ## Default ShapePipe options @@ -9,7 +9,7 @@ VERBOSE = True # Name of run (optional) default: shapepipe_run -RUN_NAME = run_sp_exp_SpMh +RUN_NAME = run_sp_exp_Sp # Add date and time to RUN_NAME, optional, default: True RUN_DATETIME = False diff --git a/example/cfis/config_exp_psfex.ini b/example/cfis/config_exp_psfex.ini index a5ac5d8a1..22bc877f4 100644 --- a/example/cfis/config_exp_psfex.ini +++ b/example/cfis/config_exp_psfex.ini @@ -58,7 +58,8 @@ TIMEOUT = 96:00:00 [SEXTRACTOR_RUNNER] # Input from two modules -INPUT_DIR = last:split_exp_runner, run_sp_Ma_exp:mask_runner +#INPUT_DIR = last:split_exp_runner, run_sp_Ma_exp:mask_runner +INPUT_DIR = last:split_exp_runner, last:mask_runner # Read pipeline flag files created by mask module FILE_PATTERN = image, weight, pipeline_flag From 45384c917669c9b12cc1716f301221c0d740b332 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Mon, 21 Oct 2024 11:47:12 +0000 Subject: [PATCH 098/217] init_curl script: allowing for individual -j 2, 8 (sp_local=1) --- scripts/jupyter/summary_run.ipynb | 20 +++- scripts/sh/init_run_exclusive_canfar.sh | 124 ++++++++++++++++++------ scripts/sh/stats_jobs_canfar.sh | 13 ++- 3 files changed, 123 insertions(+), 34 deletions(-) diff --git a/scripts/jupyter/summary_run.ipynb b/scripts/jupyter/summary_run.ipynb index f527e4159..44f2f2545 100644 --- a/scripts/jupyter/summary_run.ipynb +++ b/scripts/jupyter/summary_run.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "130112a4-f2ca-4d26-b884-d8b054676f9c", "metadata": { "tags": [] @@ -16,12 +16,24 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "id": "196beca5-10a1-4cf5-9462-be145167cc70", "metadata": { "tags": [] }, - "outputs": [], + "outputs": [ + { + "ename": "ModuleNotFoundError", + "evalue": "No module named 'shapepipe'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[1], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mshapepipe\u001b[39;00m\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mshapepipe\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mutilities\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01msummary\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;241m*\u001b[39m\n", + "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'shapepipe'" + ] + } + ], "source": [ "import shapepipe\n", "from shapepipe.utilities.summary import *" @@ -379,7 +391,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.12" + "version": "3.11.9" } }, "nbformat": 4, diff --git a/scripts/sh/init_run_exclusive_canfar.sh b/scripts/sh/init_run_exclusive_canfar.sh index 9f8e0d2a9..1faedc767 100755 --- a/scripts/sh/init_run_exclusive_canfar.sh +++ b/scripts/sh/init_run_exclusive_canfar.sh @@ -14,6 +14,10 @@ debug_out=-1 # mh_local is 0 (1) if merge_header_runner is run on all exposures, # which is standard so far (run on exposures of given tile only; new) mh_local=0 + +# sp_local is 0 (1) is split_headers_runner and mask_runner is run +# on all exposures (locally). Not 100% automatic yet. +sp_local=1 VERBOSE=1 pat="-- " @@ -164,7 +168,7 @@ if [ "$debug_out" != "-1" ]; then fi # Set kind -job_to_test=16 +job_to_test=2 kind="none" # loop over possible job numbers @@ -180,6 +184,20 @@ while [ $job_to_test -le 1024 ]; do fi # job=32 -> set kind to exp + kind="exp" + elif [ $job_to_test == 2 ]; then + if [ "$kind" == "tile" ]; then + echo "Error: Invalid job $job. mixing tile and exp kinds" + exit 6 + fi + + kind="exp" + elif [ $job_to_test == 8 ]; then + if [ "$kind" == "tile" ]; then + echo "Error: Invalid job $job. mixing tile and exp kinds" + exit 6 + fi + kind="exp" else if [ "$kind" == "exp" ]; then @@ -207,11 +225,6 @@ if [ "$dry_run" == 1 ]; then echo "in dry run mode" fi -#. /opt/conda/etc/profile.d/conda.sh -# the following line will look for /opt/... -#conda activate shapepipe -#conda activate $HOME/.conda/envs/shapepipe -#CONDA_PREFIX=$HOME/.conda/envs/shapepipe CONDA_PREFIX=/arc/home/kilbinger/.conda/envs/shapepipe PATH=$PATH:$CONDA_PREFIX/bin if [ "$debug_out" != "-1" ]; then @@ -257,11 +270,68 @@ fi for my_dir in $dir/output/run_sp_[GU]*; do command "ln -sf $my_dir" $dry_run done + # Combined flags + +## Tiles command "ln -sf $dir/output/run_sp_Ma_tile" $dry_run -command "ln -sf $dir/output/run_sp_Ma_exp" $dry_run -# exp Sp -command "ln -sf $dir/output/run_sp_exp_SpMh" $dry_run + +if [ "$sp_local" == "0" ]; then + # Exposures + command "ln -sf $dir/output/run_sp_Ma_exp" $dry_run +else + command "rm -f $dir/output/run_sp_Ma_exp" $dry_run +fi + +# Check for existing exp SpMh dir +if [[ -d "$dir/output/run_sp_exp_SpMh" ]]; then + # create link + command "ln -sf $dir/output/run_sp_exp_SpMh" $dry_run +else + echo "No global SpMh directory found" +fi + +(( do_job = $job & 2 )) +if [ $do_job != 0 ] && [ "$sp_local" == "1" ]; then + # run local Sp; works only with mh_local=1; this step needs to be done + # before following mh_local=1 steps + command "rm -rf run_sp_GitFeGie*" $dry_run + command "rm -rf run_sp_Gie*" $dry_run + command "rm -rf run_sp_exp_Sp*" $dry_run + + # Create new get_image dir + new_dir="run_sp_Gie/get_images_runner_run_2/output" + command "rm -rf $new_dir" $dry_run + command "mkdir -p $new_dir" $dry_run + + # Link to image, weight, and flag file of current exposure + + # Remove HDU extension + command "cd $new_dir" $dry_run + exp_ID=$(echo "$ID" | sed 's/-[0-9]\{1,2\}//') + for file in $dir/output//run_sp_GitFeGie_20*/get_images_runner_run_2/output/*${exp_ID}* ; do + echo $file + command "ln -s $file" $dry_run + done + command "cd ../../.." $dry_run + + # Run Sp + cd .. + command "update_runs_log_file.py" $dry_run + export SP_RUN=`pwd` + command "shapepipe_run -c cfis/config_exp_Sp.ini -e $exp_ID" $dry_run + + # Only keep CCD of this ID + command "mkdir -p output/run_sp_exp_Sp_shdu/split_exp_runner/output" $dry_run + command "mv output/run_sp_exp_Sp/split_exp_runner/output/*$ID* output/run_sp_exp_Sp_shdu/split_exp_runner/output" $dry_run + command "mv output/run_sp_exp_Sp/split_exp_runner/output/headers* output/run_sp_exp_Sp_shdu/split_exp_runner/output" $dry_run + command "rm -rf output/run_sp_exp_Sp" $dry_run + command "update_runs_log_file.py" $dry_run + cd output + + # Exception: Do not carry out actual job call + exit 0 +fi if [ "$mh_local" == "1" ]; then @@ -284,19 +354,19 @@ if [ "$mh_local" == "1" ]; then echo "Creating local mh file" - # Remove previous (local) split_exp dir - command "rm -rf run_sp_exp_Sp" $dry_run + ## Remove previous (local) split_exp dir + #command "rm -rf run_sp_exp_Sp" $dry_run - # Create new split exp run dir - new_dir="run_sp_exp_Sp//split_exp_runner/output" - command "mkdir -p $new_dir" $dry_run + ## Create new split exp run dir + #new_dir="run_sp_exp_Sp//split_exp_runner/output" + #command "mkdir -p $new_dir" $dry_run - # Link to all header files of exposures used for the current tile - IDs=`echo $ID | tr "." "-"` - for exp_ID in `cat run_sp_GitFeGie_*/find_exposures_runner/output/exp_numbers-$IDs.txt` ; do - x=`echo $exp_ID | tr -d p ` - command "ln -s $dir/output/run_sp_exp_SpMh/split_exp_runner/output/headers-$x.npy $new_dir/headers-$x.npy" $dry_run - done + ## Link to all header files of exposures used for the current tile + #IDs=`echo $ID | tr "." "-"` + #for exp_ID in `cat run_sp_GitFeGie_*/find_exposures_runner/output/exp_numbers-$IDs.txt` ; do + #x=`echo $exp_ID | tr -d p ` + #command "ln -s $dir/output/run_sp_exp_SpMh/split_exp_runner/output/headers-$x.npy $new_dir/headers-$x.npy" $dry_run + #done # Run merge_headers_runner on local exposure selection cd .. @@ -307,6 +377,13 @@ if [ "$mh_local" == "1" ]; then fi +(( do_job = $job & 8 )) +if [ $do_job != 0 ] && [ "$sp_local" == "1" ]; then + # Remove previous local Ma runs + echo "cdsclient = $CDSCLIENT" + command "rm -rf run_sp_exp_Ma*" $dry_run +fi + (( do_job = $job & 16 )) if [[ $do_job != 0 ]]; then # Remove previous Sx runs @@ -334,13 +411,6 @@ if [[ $do_job != 0 ]]; then fi fi -(( do_job = $job & 256 )) -if [[ $do_job != 0 ]]; then - # Remove previous runs of this job - rm -rf run_sp_tile_??ViSmVi_20??_* - -fi - (( do_job = $job & 256 )) if [[ $do_job != 0 ]]; then diff --git a/scripts/sh/stats_jobs_canfar.sh b/scripts/sh/stats_jobs_canfar.sh index 940b26cbf..3d1ddb156 100755 --- a/scripts/sh/stats_jobs_canfar.sh +++ b/scripts/sh/stats_jobs_canfar.sh @@ -60,8 +60,17 @@ esac # Main program # Get all instances -echo curl -E $SSL $SESSION +#echo curl -E $SSL $SESSION curl -E $SSL $SESSION &> /dev/null > $tmpfile_jobs +res=$? + +if [ "$res" == "0" ]; then + # Number of jobs + n_headless=`cat $tmpfile_ids | grep Running | wc -l` +else + # Failure: set to very high number + n_headless=10000 +fi # Get headless job IDs #cat $tmpfile_jobs | grep headless -B 4 -A 12 | grep \"id | perl -F\" -ane 'print "$F[3]\n"' > $tmpfile_ids @@ -71,8 +80,6 @@ cat $tmpfile_jobs | grep headless -B 4 -A 2 | grep Running -A 1 > $tmpfile_ids # Get running job info cat $tmpfile_ids | grep name | perl -F\- -ane 'chomp; $F[4] =~ s/[",]//g; print "$F[3].$F[4]"' > $tmpfile_running -# Number of jobs -n_headless=`cat $tmpfile_ids | grep Running | wc -l` if [ "$mode" == "count" ]; then From e15e8db8db9de36653ac7b44eddb2a7b83fa48b3 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Mon, 21 Oct 2024 13:54:28 +0200 Subject: [PATCH 099/217] summary: path for candide --- scripts/python/summary_params_pre_v2.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/scripts/python/summary_params_pre_v2.py b/scripts/python/summary_params_pre_v2.py index 62924f472..be792afc9 100644 --- a/scripts/python/summary_params_pre_v2.py +++ b/scripts/python/summary_params_pre_v2.py @@ -9,7 +9,8 @@ def set_jobs_v2_pre_v2(patch, verbose): print(f"Set job info for patch {patch}") # Main input and output directory - path_main = f"{os.environ['HOME']}/cosmostat/v2/pre_v2/psfex/{patch}" + #path_main = f"{os.environ['HOME']}/cosmostat/v2/pre_v2/psfex/{patch}" + path_main = f"{os.environ['HOME']}/astro/Runs/shapepipe/CFIS//v1/{patch}" # Logging path = f"{path_main}/summary" From f1ed5a803a85e7140e5f38ac71e139fdfafa1361 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Mon, 21 Oct 2024 16:25:05 +0200 Subject: [PATCH 100/217] added vos --- environment.yml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/environment.yml b/environment.yml index 2f9c2edea..de62b5a37 100644 --- a/environment.yml +++ b/environment.yml @@ -27,6 +27,7 @@ dependencies: - modopt - PyQt5 - pyqtgraph + - python-pysap==0.2.1 - reproject - shear_psf_leakage - skaha @@ -36,5 +37,6 @@ dependencies: - termcolor - tqdm - treecorr + - vos - git+https://github.com/aguinot/ngmix@stable_version - git+https://github.com/tobias-liaudat/Stile@v0.1 From 7944b96ee92f4c444ad3cf7de9a550c919e991b5 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Mon, 21 Oct 2024 16:52:22 +0200 Subject: [PATCH 101/217] added python-pysap to env --- environment.yml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/environment.yml b/environment.yml index 25bbae252..d7f2d0896 100644 --- a/environment.yml +++ b/environment.yml @@ -18,9 +18,11 @@ dependencies: - numpy==1.26.4 - pip: - cs_util==0.1 + - mccd==1.2.4 - modopt - PyQt5 - pyqtgraph + - python-pysap=0.2.1 - reproject - shear_psf_leakage - skaha From 65cbac2f973f90ec90a9bd371bc5c515aefaa7ca Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Tue, 22 Oct 2024 16:40:43 +0200 Subject: [PATCH 102/217] added pandas to yml --- environment.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/environment.yml b/environment.yml index 8dc20de76..59efba5d3 100644 --- a/environment.yml +++ b/environment.yml @@ -22,6 +22,7 @@ dependencies: - matplotlib==3.8.4 - numba==0.58.1 - numpy==1.26.4 + - pandas - pip: - cs_util==0.1 - mccd==1.2.4 From 43c3192ccb4dd600ac37b22d194fe35d9ab31c5a Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Tue, 22 Oct 2024 16:28:07 +0000 Subject: [PATCH 103/217] added scripts to extract used CCD names --- scripts/python/get_ccd_names_survey.py | 36 ++++++++++++++++ scripts/python/sqlite_get_ccd_names.py | 60 ++++++++++++++++++++++++++ 2 files changed, 96 insertions(+) create mode 100644 scripts/python/get_ccd_names_survey.py create mode 100644 scripts/python/sqlite_get_ccd_names.py diff --git a/scripts/python/get_ccd_names_survey.py b/scripts/python/get_ccd_names_survey.py new file mode 100644 index 000000000..bc173ee68 --- /dev/null +++ b/scripts/python/get_ccd_names_survey.py @@ -0,0 +1,36 @@ +import sys +import numpy as np + +from tqdm import tqdm + + +def main(argv): + + job = 32 + + n_patch = 7 + patches = [f'P{x}' for x in np.arange(n_patch) + 1] + + missing = set() + + # Loop over patches + for patch in tqdm(patches, desc="Loop over patches"): + + # Read in files from summary output with missing CCDs. + # Create and update CCD name set. + fname = f"{patch}/summary/missing_job_{job}_all.txt" + with open(fname) as f: + lines = f.readlines() + for line in lines: + missing.update([line.rstrip("\n")]) + + print(missing) + + # Read in exposure name files. + # Create and update CCD name set. + + # Combine above to create used CCD name set. + + +if __name__ == "__main__": + sys.exit(main(sys.argv)) diff --git a/scripts/python/sqlite_get_ccd_names.py b/scripts/python/sqlite_get_ccd_names.py new file mode 100644 index 000000000..eb488b61f --- /dev/null +++ b/scripts/python/sqlite_get_ccd_names.py @@ -0,0 +1,60 @@ +### sqlite_get_ccd_names.py + +# Extract names of single-exposure single-HDU (CCD) names +# from sqlite PSF interpolation information file. + + + +import sys +import glob +from tqdm import tqdm + +from sqlitedict import SqliteDict + + +def get_ccds_from_file(fname): + """Return set of CCD names from sqlite file. + """ + + # Open sqlite file + psf_vign_cat = SqliteDict(fname) + + # Initialise set of CCD names + ccds = set() + + # Lazy iteration (do not store list in variable). + # Keys in postage stamp file are object (galaxy) IDs for which + # the PSF postage stamp is used elsehere, + for obj_ID in tqdm(psf_vign_cat.keys(), desc=f"Processing {fname}"): + + # If vignet is not empty, add all used CCDs (=keys) to name set + if psf_vign_cat[obj_ID] != "empty": + ccds.update(psf_vign_cat[obj_ID].keys()) + + return set(ccds) + + +def get_all_ccds(filenames): + """Return set of CCD names from list of sqlite files. + """ + + all_ccds = set() + for fname in tqdm(filenames, desc="Overall progress"): + all_ccds.update(get_ccds_from_file(fname)) + return all_ccds + + +def main(argv): + + filenames = glob.glob("tile_runs/077.32?/output/run_sp_tile_PsViSmVi_202*/psfex_interp_runner/output/galaxy_psf-???-???.sqlite") + + print(len(filenames)) + + all_ccds = get_all_ccds(filenames) + print(all_ccds) + + +if __name__ == "__main__": + sys.exit(main(sys.argv)) + + From 72bcc09d79308b9fd37ddcda37483f3ec93e6abd Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Wed, 13 Nov 2024 08:41:58 +0000 Subject: [PATCH 104/217] common bash functions to separate file to be loaded in bash scripts --- scripts/sh/curl_canfar_local.sh | 66 +++++++++------------------------ scripts/sh/functions.sh | 52 ++++++++++++++++++++++++++ 2 files changed, 69 insertions(+), 49 deletions(-) create mode 100644 scripts/sh/functions.sh diff --git a/scripts/sh/curl_canfar_local.sh b/scripts/sh/curl_canfar_local.sh index 13e087936..4c919c624 100755 --- a/scripts/sh/curl_canfar_local.sh +++ b/scripts/sh/curl_canfar_local.sh @@ -6,6 +6,9 @@ SESSION=https://ws-uv.canfar.net/skaha/v0/session IMAGE=images.canfar.net/unions/shapepipe NAME=shapepipe +# :TODO: Not working +script_dir="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +source $HOME/shapepipe/scripts/sh/functions.sh # Command line arguments @@ -149,59 +152,24 @@ RESOURCES="ram=4&cores=$N_SMP" dir=`pwd` -# Return argument for local script to be called via curl -function set_arg() { - my_arg="-j $job -p $psf -e $ID -N $N_SMP $arg_dry_run -d $dir -m $mh_local --debug_out $debug_out" - echo $my_arg -} - - -function call_curl() { - my_name=$1 - dry_run=$2 - - my_arg=$(set_arg) - - if [ "$dry_run" == "0" ]; then - - cp ~/sicher.pem ~/.ssl/cadcproxy.pem - my_session=`curl -E $SSL "$SESSION?$RESOURCES" -d "image=$IMAGE:$version" -d "name=${my_name}" -d "cmd=$cmd_remote" --data-urlencode "args=${my_arg[@]}" &> /dev/null` - fi - - - cmd=("curl" "-E" "$SSL" "$SESSION?$RESOURCES" "-d" "image=$IMAGE:$version" "-d" "name=${my_name}" "-d" "cmd=$cmd_remote" "--data-urlencode" "args=\"${my_arg}\"") - - if [ "$debug_out" != "-1" ]; then - echo "${pat}call_curl $my_name $my_arg" >> $debug_out - echo "${pat}Running ${cmd[@]} (dry_run=$dry_run)" >> $debug_out - fi - echo "${cmd[@]} (dry_run=$dry_run)" - cp ~/sicher.pem ~/.ssl/cadcproxy.pem - - - # Running $cmd does not work due to unknown problems with passing of args - - update_session_logs -} - -# Add session and image IDs to log files -function update_session_logs() { - echo $my_session >> session_IDs.txt - echo "$my_session $ID" >> session_image_IDs.txt - -} - function submit_batch() { path=$1 + # Paralle call of curl to speed up submission + #n_para=8 + #cat $path | xargs -I {} -P $n_para bash -c ' + #source $HOME/shapepipe/scripts/sh/functions.sh + #ID="{}" + #IDt=$(echo $ID | tr "." "-") + #my_name="SP-${patch}-J${job}-${IDt}" + #call_curl $my_name $dry_run $debug_out + #' + for ID in `cat $path`; do IDt=`echo $ID | tr "." "-"` my_name="SP-${patch}-J${job}-${IDt}" - - call_curl $my_name $dry_run - + call_curl $my_name $dry_run $debug_out done - } batch=50 @@ -222,7 +190,7 @@ if [ "$dry_run" == 2 ]; then for ID in `cat $file_IDs`; do IDt=`echo $ID | tr "." "-"` my_name="SP-${patch}-J${job}-${IDt}" - call_curl $my_name $dry_run + call_curl $my_name $dry_run $debug_out done else @@ -230,7 +198,7 @@ if [ "$dry_run" == 2 ]; then # Submit image (dry run = 2) IDt=`echo $ID | tr "." "-"` my_name="SP-${patch}-J${job}-${IDt}" - call_curl $my_name $dry_run + call_curl $my_name $dry_run $debug_out fi @@ -283,7 +251,7 @@ else # Submit image IDt=`echo $ID | tr "." "-"` my_name="SP-${patch}-J${job}-${IDt}" - call_curl $my_name $dry_run + call_curl $my_name $dry_run $debug_out fi diff --git a/scripts/sh/functions.sh b/scripts/sh/functions.sh new file mode 100644 index 000000000..ce8b2dfba --- /dev/null +++ b/scripts/sh/functions.sh @@ -0,0 +1,52 @@ +# Global variables +SSL=~/.ssl/cadcproxy.pem +SESSION=https://ws-uv.canfar.net/skaha/v0/session +IMAGE=images.canfar.net/unions/shapepipe +NAME=shapepipe + +version="1.1" +cmd_remote="$HOME/shapepipe/scripts/sh/init_run_exclusive_canfar.sh" +pat="- " + + +# Return argument for local script to be called via curl +function set_arg() { + my_arg="-j $job -p $psf -e $ID -N $N_SMP $arg_dry_run -d $dir -m $mh_local --debug_out $debug_out" + echo $my_arg +} + + +# Add session and image IDs to log files +function update_session_logs() { + echo $my_session >> session_IDs.txt + echo "$my_session $ID" >> session_image_IDs.txt +} + +function call_curl() { + my_name=$1 + dry_run=$2 + debug_out=$3 + + my_arg=$(set_arg) + + if [ "$dry_run" == "0" ]; then + + #my_session=`curl -E $SSL "$SESSION?$RESOURCES" -d "image=$IMAGE:$version" -d "name=${my_name}" -d "cmd=$cmd_remote" --data-urlencode "args=${my_arg[@]}" &> /dev/null` + my_session=`curl -E $SSL "$SESSION?$RESOURCES" -d "image=$IMAGE:$version" -d "name=${my_name}" -d "cmd=$cmd_remote" --data-urlencode "args=${my_arg[@]}"` + fi + + + cmd=("curl" "-E" "$SSL" "$SESSION?$RESOURCES" "-d" "image=$IMAGE:$version" "-d" "name=${my_name}" "-d" "cmd=$cmd_remote" "--data-urlencode" "args=\"${my_arg}\"") + + #if [ "$debug_out" != "-1" ]; then + #echo "${pat}call_curl $my_name $my_arg" >> $debug_out + #echo "${pat}Running ${cmd[@]} (dry_run=$dry_run)" >> $debug_out + #fi + echo "${cmd[@]} (dry_run=$dry_run)" + + + # Running $cmd does not work due to unknown problems with passing of args + + update_session_logs +} + From f49eb3dbd61f9ed8b3ff75b04b72fe00756f89fa Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Wed, 13 Nov 2024 08:42:38 +0000 Subject: [PATCH 105/217] Sp config file fixed (?) exp get image runner input --- example/cfis/config_exp_Sp.ini | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/example/cfis/config_exp_Sp.ini b/example/cfis/config_exp_Sp.ini index 2ee1676b8..3481ea162 100644 --- a/example/cfis/config_exp_Sp.ini +++ b/example/cfis/config_exp_Sp.ini @@ -45,7 +45,7 @@ OUTPUT_DIR = $SP_RUN/output [JOB] # Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial -SMP_BATCH_SIZE = 16 +SMP_BATCH_SIZE = 8 # Timeout value (optional), default is None, i.e. no timeout limit applied TIMEOUT = 96:00:00 @@ -55,7 +55,7 @@ TIMEOUT = 96:00:00 [SPLIT_EXP_RUNNER] -INPUT_DIR = last:get_images_runner_run_2 +INPUT_DIR = last:get_images_runner FILE_PATTERN = image, weight, flag From 9dbf5e91e853137dcb508cdd743022d6289add98 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Wed, 13 Nov 2024 08:43:08 +0000 Subject: [PATCH 106/217] P8 job 2 param setting --- scripts/python/summary_params_pre_v2.py | 94 ++++++++++++++++--------- 1 file changed, 60 insertions(+), 34 deletions(-) diff --git a/scripts/python/summary_params_pre_v2.py b/scripts/python/summary_params_pre_v2.py index 70eda073c..8fd548646 100644 --- a/scripts/python/summary_params_pre_v2.py +++ b/scripts/python/summary_params_pre_v2.py @@ -58,16 +58,42 @@ def set_jobs_v2_pre_v2(patch, verbose): verbose=verbose, ) - jobs["2"] = job_data( - 2, - ["run_sp_Uz", "run_sp_exp_SpMh", "run_sp_exp_SpMh"], - ["uncompress_fits_runner", "merge_headers_runner", "split_exp_runner"], - ["tile_IDs", 0, "exposures"], - n_mult=[1, 1, 121], - path_main=path_main, - path_left="output", - verbose=verbose, - ) + if patch == "P8": + jobs["2"] = job_data( + 2, + ["run_sp_Uz", "run_sp_exp_Sp_shdu"], + ["uncompress_fits_runner", "split_exp_runner"], + ["tile_IDs", "shdus"], + n_mult=[1, 3], + path_main=path_main, + path_left=["output", "exp_runs"], + output_subdirs=[None, "shdus"], + path_right=[None, "output"], + verbose=verbose, + ) + jobs["4096"] = job_data( + 4096, + ["run_sp_exp_Sp_shdu"], + ["split_exp_runner"], + ["shdus"], + n_mult=4, + path_main=path_main, + path_left="exp_runs", + output_subdirs="shdus", + path_right="output", + verbose=verbose, + ) + else: + jobs["2"] = job_data( + 2, + ["run_sp_Uz", "run_sp_exp_SpMh"], + ["uncompress_fits_runner", "split_exp_runner"], + ["tile_IDs", "shdus"], + n_mult=[1, 121], + path_main=path_main, + path_left="output", + verbose=verbose, + ) jobs["4"] = job_data( 4, @@ -79,15 +105,30 @@ def set_jobs_v2_pre_v2(patch, verbose): verbose=verbose, ) - jobs["8"] = job_data( - 8, - ["run_sp_Ma_exp"], - ["mask_runner"], - ["shdus"], - path_main=path_main, - path_left="output", - verbose=verbose, - ) + if patch != "P8": + jobs["8"] = job_data( + 8, + ["run_sp_Ma_exp"], + ["mask_runner"], + ["shdus"], + path_main=path_main, + path_left="output", + verbose=verbose, + ) + else: + jobs["8"] = job_data( + 8, + ["run_sp_exp_Ma"], + ["mask_runner"], + ["shdus"], + n_mult=[1], + path_main=path_main, + path_left="exp_runs", + output_subdirs= "shdus", + path_right="output", + verbose=verbose, + ) + jobs["16"] = job_data( 16, @@ -101,8 +142,6 @@ def set_jobs_v2_pre_v2(patch, verbose): verbose=verbose, ) - # TODO 1 setools_runner output/rand_split - # TODO 2 add back Pi jobs["32"] = job_data( 32, [ @@ -138,19 +177,6 @@ def set_jobs_v2_pre_v2(patch, verbose): verbose=verbose, ) - # For P3 - # jobs["33"] = job_data( - # 33, - # "run_sp_exp_Pi", - # ["psfex_interp_runner"], - # "shdus", - # path_main=path_main, - # path_left="exp_runs", - # output_subdirs="shdus", - # path_right="output", - # verbose=verbose, - # ) - jobs["64"] = job_data( "64", "run_sp_tile_PsViSmVi", From 3eb3d72470534fea8de417a2666bd307b64a8e2d Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Wed, 13 Nov 2024 08:45:17 +0000 Subject: [PATCH 107/217] init script: copying to /scratch; improved job 2 handling for P8 --- scripts/sh/init_run_exclusive_canfar.sh | 35 ++++++++++++++++++++----- 1 file changed, 29 insertions(+), 6 deletions(-) diff --git a/scripts/sh/init_run_exclusive_canfar.sh b/scripts/sh/init_run_exclusive_canfar.sh index 1faedc767..a4fef46f8 100755 --- a/scripts/sh/init_run_exclusive_canfar.sh +++ b/scripts/sh/init_run_exclusive_canfar.sh @@ -10,6 +10,7 @@ N_SMP=1 dry_run=0 dir=`pwd` debug_out=-1 +scratch=/scratch/`whoami` # mh_local is 0 (1) if merge_header_runner is run on all exposures, # which is standard so far (run on exposures of given tile only; new) @@ -255,8 +256,11 @@ if [ ! -d "output" ]; then command "mkdir output" $dry_run fi +ln -sf ~/shapepipe/example/cfis + cd output + if [ "$mh_local" == "0" ]; then if [ ! -f log_exp_headers.sqlite ]; then # Global Mh and file does not exist -> symlink to @@ -300,7 +304,7 @@ if [ $do_job != 0 ] && [ "$sp_local" == "1" ]; then command "rm -rf run_sp_exp_Sp*" $dry_run # Create new get_image dir - new_dir="run_sp_Gie/get_images_runner_run_2/output" + new_dir="run_sp_Gie/get_images_runner/output" command "rm -rf $new_dir" $dry_run command "mkdir -p $new_dir" $dry_run @@ -309,28 +313,47 @@ if [ $do_job != 0 ] && [ "$sp_local" == "1" ]; then # Remove HDU extension command "cd $new_dir" $dry_run exp_ID=$(echo "$ID" | sed 's/-[0-9]\{1,2\}//') - for file in $dir/output//run_sp_GitFeGie_20*/get_images_runner_run_2/output/*${exp_ID}* ; do + for file in $dir/output//run_sp_GitFeGie_20*/get_images_runner_run_2/output/*${exp_ID}.* ; do echo $file command "ln -s $file" $dry_run done command "cd ../../.." $dry_run # Run Sp - cd .. + command "cd .." $dry_run + if [ "$scratch" != "-1" ]; then + command "cd ../.." $dry_run + command "mkdir -p $scratch/exp_runs" $dry_run + pwd + command "cp -R exp_runs/$ID $scratch/exp_runs" $dry_run + command "cd $scratch/exp_runs/$ID" $dry_run + fi command "update_runs_log_file.py" $dry_run export SP_RUN=`pwd` + + command "shapepipe_run -c cfis/config_exp_Sp.ini -e $exp_ID" $dry_run # Only keep CCD of this ID command "mkdir -p output/run_sp_exp_Sp_shdu/split_exp_runner/output" $dry_run - command "mv output/run_sp_exp_Sp/split_exp_runner/output/*$ID* output/run_sp_exp_Sp_shdu/split_exp_runner/output" $dry_run + command "mv output/run_sp_exp_Sp/split_exp_runner/output/*$ID.* output/run_sp_exp_Sp_shdu/split_exp_runner/output" $dry_run command "mv output/run_sp_exp_Sp/split_exp_runner/output/headers* output/run_sp_exp_Sp_shdu/split_exp_runner/output" $dry_run command "rm -rf output/run_sp_exp_Sp" $dry_run + if [ "$scratch" != "-1" ]; then + command "mv output/run_sp_exp_Sp_shdu $dir/exp_runs/$ID/output" $dry_run + command "cd .." $dry_run + command "rm -rf $ID" $dry_run + command "cd $dir" $dry_run + fi command "update_runs_log_file.py" $dry_run cd output - # Exception: Do not carry out actual job call - exit 0 + if [ "$job" == "2" ]; then + exit 0 + fi + + # Revmove job=2 bit to avoid re-running of this job + job=$(( job & ~2 )) fi if [ "$mh_local" == "1" ]; then From a80d731884eb5e44d0282caa9529fce1576fd0b5 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Wed, 13 Nov 2024 08:45:43 +0000 Subject: [PATCH 108/217] stats job script added debug option --- scripts/sh/stats_jobs_canfar.sh | 33 ++++++++++++++++++++++----------- 1 file changed, 22 insertions(+), 11 deletions(-) diff --git a/scripts/sh/stats_jobs_canfar.sh b/scripts/sh/stats_jobs_canfar.sh index 3d1ddb156..8db49fc5a 100755 --- a/scripts/sh/stats_jobs_canfar.sh +++ b/scripts/sh/stats_jobs_canfar.sh @@ -21,6 +21,7 @@ SESSION=https://ws-uv.canfar.net/skaha/v0/session ## Default values mode="count" +debug=0 ## Help string usage="Usage: $(basename "$0") [OPTIONS] @@ -28,6 +29,7 @@ usage="Usage: $(basename "$0") [OPTIONS] -h\tthis message\n -m, --mode MODE\n \tmode, allowed are 'count' (default), 'delete'\n + -d, --debug\n " ## Parse command line @@ -41,6 +43,9 @@ while [ $# -gt 0 ]; do mode="$2" shift ;; + -d|--debug) + debug=1 + ;; esac shift done @@ -60,25 +65,31 @@ esac # Main program # Get all instances -#echo curl -E $SSL $SESSION -curl -E $SSL $SESSION &> /dev/null > $tmpfile_jobs +if [ "$debug" == "1" ]; then + curl -E $SSL $SESSION + exit 0 +else + curl -E $SSL $SESSION &> /dev/null > $tmpfile_jobs +fi res=$? if [ "$res" == "0" ]; then + + # Get headless job IDs + cat $tmpfile_jobs | grep headless -B 4 -A 2 | grep Running -A 1 > $tmpfile_ids + # Number of jobs n_headless=`cat $tmpfile_ids | grep Running | wc -l` -else - # Failure: set to very high number - n_headless=10000 -fi -# Get headless job IDs -#cat $tmpfile_jobs | grep headless -B 4 -A 12 | grep \"id | perl -F\" -ane 'print "$F[3]\n"' > $tmpfile_ids -cat $tmpfile_jobs | grep headless -B 4 -A 2 | grep Running -A 1 > $tmpfile_ids + # Get running job info + cat $tmpfile_ids | grep name | perl -F\- -ane 'chomp; $F[4] =~ s/[",]//g; print "$F[3].$F[4]"' > $tmpfile_running +else -# Get running job info -cat $tmpfile_ids | grep name | perl -F\- -ane 'chomp; $F[4] =~ s/[",]//g; print "$F[3].$F[4]"' > $tmpfile_running + # Failure: set to very high number + n_headless=10000 + +fi if [ "$mode" == "count" ]; then From 6498c683ffdc3d82f3f2f037c87348d0019006dc Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Wed, 13 Nov 2024 08:46:16 +0000 Subject: [PATCH 109/217] P8 job 2 stuff --- shapepipe/utilities/summary.py | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/shapepipe/utilities/summary.py b/shapepipe/utilities/summary.py index 201cbcd30..e75038c98 100755 --- a/shapepipe/utilities/summary.py +++ b/shapepipe/utilities/summary.py @@ -484,11 +484,12 @@ def output_missing( # Count image IDs in names that were found earlier # Get file name pattern - if module != "split_exp_runner": + if module != "split_exp_runner" or self._bit != "2": pattern = re.compile(r"(?:\d{3}-\d{3}|\d{7}-\d+|\d{7})") else: - # split_exp_runner: input is exp, output is shdu (images) and exp - # (header); ignore hdu number + # split_exp_runner with sp_local=0: input is exp, output is shdu + # (images) and exp (header); ignore hdu number. + # If sp_local=1 set bit to != 2 pattern = re.compile( r"(?:\d{3}-\d{3}|\d{7})" ) @@ -506,6 +507,8 @@ def output_missing( #raise ValueError(msg) print(f"Warning: msg, continuing") + # For split_exp_runner P8, IDs now contain exps and sdus, + # not matching mult. ## Count occurences ID_counts = Counter(IDs) From e7f73c2ca62de8318f97bf50f9151addaf9a74b5 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Wed, 13 Nov 2024 16:00:18 +0100 Subject: [PATCH 110/217] added fits file check --- .../modules/uncompress_fits_package/uncompress_fits.py | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/shapepipe/modules/uncompress_fits_package/uncompress_fits.py b/shapepipe/modules/uncompress_fits_package/uncompress_fits.py index f8eca921d..8ef912e6f 100644 --- a/shapepipe/modules/uncompress_fits_package/uncompress_fits.py +++ b/shapepipe/modules/uncompress_fits_package/uncompress_fits.py @@ -54,7 +54,14 @@ def process(self): for idx in range(len(self._input_file_list)): # Get data and header - data = fits.getdata(self._input_file_list[idx], self._data_hdu) + try: + data = fits.getdata(self._input_file_list[idx], self._data_hdu) + except Exception as e: + print( + "Error while reading data from FITS image " + + f"{self._input_file_list[idx]} at HDU {self._data_hdu}" + ) + raise header = fits.getheader(self._input_file_list[idx], self._data_hdu) # Create and write new FITS file with that HDU only From 53d7f8b6e2eb3b86590735c76a76b65e0e31b483 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Wed, 13 Nov 2024 16:05:37 +0100 Subject: [PATCH 111/217] Cail's first v1.4 Dockerfile w/o conda --- Dockerfile | 154 ++++++++++++++++++++++++++++++++++------------------- 1 file changed, 98 insertions(+), 56 deletions(-) diff --git a/Dockerfile b/Dockerfile index 0a5e34764..1323c3104 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,56 +1,98 @@ -FROM continuumio/miniconda3 - -LABEL Description="ShapePipe Docker Image" -ENV SHELL /bin/bash - -ARG CC=gcc-9 -ARG CXX=g++-9 - -# gcc < 10 is required to compile ww -ENV CC=gcc-9 -ENV CXX=g++-9 - -RUN apt-get update --allow-releaseinfo-change && \ - apt-get update && \ - apt-get upgrade -y && \ - apt-get install apt-utils -y && \ - apt-get install make -y && \ - apt-get install automake -y && \ - apt-get install autoconf -y && \ - apt-get install gcc-9 g++-9 -y && \ - apt-get install locales -y && \ - apt-get install libgl1-mesa-glx -y && \ - apt-get install xterm -y && \ - apt-get install cmake protobuf-compiler -y && \ - apt-get install libtool libtool-bin libtool-doc -y && \ - apt-get install libfftw3-bin libfftw3-dev -y && \ - apt-get install libatlas-base-dev liblapack-dev libblas-dev -y && \ - apt-get install vim -y && \ - apt-get install locate -y && \ - apt-get install curl -y && \ - apt-get install acl -y && \ - apt-get install sssd -y && \ - apt-get clean - -ADD nsswitch.conf /etc/ - -RUN sed -i '/en_US.UTF-8/s/^# //g' /etc/locale.gen && \ - locale-gen -ENV LANG en_US.UTF-8 -ENV LANGUAGE en_US:en -ENV LC_ALL en_US.UTF-8 - -SHELL ["/bin/bash", "--login", "-c"] - -COPY ./environment.yml ./ -COPY install_shapepipe README.rst setup.py setup.cfg ./ -RUN touch ./README.md - -RUN conda update -n base -c defaults conda -c defaults -RUN conda env create --file environment.yml - -COPY shapepipe ./shapepipe -COPY scripts ./scripts - -RUN source activate shapepipe -#RUN pip install jupyter +FROM python:3.12-bookworm + +LABEL Description="Conda-Free ShapePipe Docker Image" +ENV SHELL=/bin/bash + +# Install system dependencies +RUN apt-get update -y --quiet --fix-missing && \ + apt-get dist-upgrade -y --quiet --fix-missing && \ + apt-get install -y --quiet \ + acl \ + apt-utils \ + autoconf \ + automake \ + build-essential \ + cmake \ + curl \ + ffmpeg \ + g++ \ + gcc \ + gfortran \ + git-lfs \ + libatlas-base-dev \ + libblas-dev \ + libcfitsio-dev \ + libfftw3-bin \ + libfftw3-dev \ + libgl1-mesa-glx \ + liblapack-dev \ + libopenmpi-dev \ + libtool \ + libtool-bin \ + libtool-doc \ + locales \ + locate \ + make \ + openmpi-bin \ + pandoc \ + protobuf-compiler \ + psfex=3.21.1-1 \ + sextractor=2.25.0+ds-3 \ + sssd \ + weightwatcher \ + vim \ + xterm && \ + apt-get clean -y && \ + apt-get autoremove --purge --quiet -y && \ + rm -rf /var/lib/apt/lists/* /var/tmp/* + +# Install python dependencies +RUN pip install --no-cache-dir \ + astropy \ + cs_util \ + galsim \ + joblib \ + matplotlib \ + mccd \ + modopt \ + mpi4py \ + numba \ + numpy \ + numpydoc \ + pandas \ + PyQt5 \ + pyqtgraph \ + python-pysap \ + pytest \ + pytest-cov \ + pytest-pycodestyle \ + pytest-pydocstyle \ + reproject \ + sf_tools \ + sip_tpv \ + skaha \ + sqlitedict \ + termcolor \ + tqdm \ + treecorr \ + vos \ + git+https://github.com/aguinot/ngmix@stable_version \ + git+https://github.com/tobias-liaudat/Stile@v0.1 + + +WORKDIR /app +COPY . /app/. + + +# Install shapepipe and symlink scripts +RUN pip install --no-cache-dir -e . && \ + for ext in .py .sh .bash; do \ + for script in /app/scripts/*/*$ext; do \ + link_name=`basename $script $ext`; \ + ln -s $script /usr/local/bin/$link_name; \ + done; \ + done + +ENV PATH="/app/scripts:${PATH}" + +CMD ["bash"] \ No newline at end of file From 1bc3e0755837cf701bce17fdb1cecc78826f60cd Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Thu, 14 Nov 2024 12:37:22 +0000 Subject: [PATCH 112/217] scripts to get CCDs used in tiles (proxies) --- scripts/python/get_ccd_names_survey.py | 65 ++++++++++++++++++++++---- scripts/python/sqlite_get_ccd_names.py | 37 +++++++++++++-- 2 files changed, 88 insertions(+), 14 deletions(-) diff --git a/scripts/python/get_ccd_names_survey.py b/scripts/python/get_ccd_names_survey.py index bc173ee68..f676be3db 100644 --- a/scripts/python/get_ccd_names_survey.py +++ b/scripts/python/get_ccd_names_survey.py @@ -8,28 +8,75 @@ def main(argv): job = 32 + n_CCD = 40 + n_patch = 7 patches = [f'P{x}' for x in np.arange(n_patch) + 1] - missing = set() + missing_CCDs = {} + for patch in patches: + missing_CCDs[patch] = set() # Loop over patches - for patch in tqdm(patches, desc="Loop over patches"): + for patch in tqdm(patches, desc="read summaries"): - # Read in files from summary output with missing CCDs. - # Create and update CCD name set. + # Read in files from summary output with missing CCDs. + # Create and update CCD name set. fname = f"{patch}/summary/missing_job_{job}_all.txt" with open(fname) as f: lines = f.readlines() - for line in lines: - missing.update([line.rstrip("\n")]) + for line in lines: + missing_CCDs[patch].update([line.rstrip("\n")]) - print(missing) + # Create CCD name lists + all_CCDs = {} + used_CCDs = {} + for patch in patches: + all_CCDs[patch] = [] + used_CCDs[patch] = set() # Read in exposure name files. - # Create and update CCD name set. + for patch in tqdm(patches, desc="read exposure names"): + fname = f"{patch}/exp_numbers.txt" + with open(fname) as f: + lines = f.readlines() + for line in lines: + exp = line.rstrip("\n") + for idx in range(n_CCD): + all_CCDs[patch].append(f"{exp}-{idx}") + + used_CCDs[patch] = set(all_CCDs[patch]) - missing_CCDs[patch] + + # Combine all patches + used_all = set() + missing_all = set() + all_all = [] + n_missing = 0 + n_used = 0 + for patch in patches: + used_all.update(used_CCDs[patch]) + missing_all.update(missing_CCDs[patch]) + all_all.extend(all_CCDs[patch]) + n_missing += len(missing_CCDs[patch]) + n_used += len(used_CCDs[patch]) + n_all = len(set(all_all)) + + print("patch missing total used") + for patch in patches: + print(f"{patch:5s} {len(missing_CCDs[patch]):10d} {len(all_CCDs[patch]):10d} {len(used_CCDs[patch]):10d}") + + print(f"{'sum':5s} {n_missing:10d} {len(all_all):10d} {n_used:10d}") + print(f"{'all':5s} {len(missing_all):10d} {n_all:10d} {len(used_all):10d}") + + print(f"Multiple CCDs across patches = {(len(all_all) - n_all) / len(all_all):.1%}") - # Combine above to create used CCD name set. + for patch in tqdm(patches, desc="write output files"): + out_path = f"ccds_with_psf_{patch}.txt" + with open(out_path, "w") as f_out: + f_out.writelines(f"{ccd}\n" for ccd in used_CCDs[patch]) + out_path = f"ccds_with_psf_all.txt" + with open(out_path, "w") as f_out: + f_out.writelines(f"{ccd}\n" for ccd in used_all) if __name__ == "__main__": diff --git a/scripts/python/sqlite_get_ccd_names.py b/scripts/python/sqlite_get_ccd_names.py index eb488b61f..a2a702b35 100644 --- a/scripts/python/sqlite_get_ccd_names.py +++ b/scripts/python/sqlite_get_ccd_names.py @@ -5,6 +5,7 @@ +import os import sys import glob from tqdm import tqdm @@ -25,13 +26,18 @@ def get_ccds_from_file(fname): # Lazy iteration (do not store list in variable). # Keys in postage stamp file are object (galaxy) IDs for which # the PSF postage stamp is used elsehere, - for obj_ID in tqdm(psf_vign_cat.keys(), desc=f"Processing {fname}"): + #for obj_ID in tqdm(psf_vign_cat.keys(), desc=f"Processing {fname}"): + + keys = psf_vign_cat.keys() + for obj_ID in tqdm(keys, desc=f"Processing {fname}"): # If vignet is not empty, add all used CCDs (=keys) to name set if psf_vign_cat[obj_ID] != "empty": ccds.update(psf_vign_cat[obj_ID].keys()) - return set(ccds) + print(f"{len(ccds)} non-empty CCDs found") + + return ccds def get_all_ccds(filenames): @@ -46,13 +52,34 @@ def get_all_ccds(filenames): def main(argv): - filenames = glob.glob("tile_runs/077.32?/output/run_sp_tile_PsViSmVi_202*/psfex_interp_runner/output/galaxy_psf-???-???.sqlite") - - print(len(filenames)) + filenames = [] + out_path = "ccds_from_interp_psf.txt" + + basedir = "tile_runs" + iterable = os.scandir(basedir) + iterable = tqdm(iterable, desc="tile IDs") + for ID in iterable: + subdir = f"{ID.path}/output" + if os.path.exists(subdir): + #iterable_sub = tqdm(iterable_sub, desc="module_outdirs", leave=False) + #with iterable_sub as entries: + with os.scandir(subdir) as entries: + for entry in entries: + if entry.name.startswith("run_sp_tile_PsViSmVi_20"): + modoutdir = f"{entry.path}/psfex_interp_runner/output" + with os.scandir(modoutdir) as entries_out: + for entry_out in entries_out: + if entry_out.name.startswith("galaxy_psf"): + filenames.append(entry_out.path) + + print(f"{len(filenames)} galaxy psf sqlite files found") all_ccds = get_all_ccds(filenames) print(all_ccds) + with open(out_path, "w") as f_out: + f_out.writelines(f"{ccd}\n" for ccd in all_ccds) + if __name__ == "__main__": sys.exit(main(sys.argv)) From 320467a2886e2b50febeea39d6cbca3f8e963aa5 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Sat, 16 Nov 2024 13:44:32 +0100 Subject: [PATCH 113/217] init script: force sym link to home cfis cfg dir --- scripts/sh/init_run_exclusive_canfar.sh | 3 +++ 1 file changed, 3 insertions(+) diff --git a/scripts/sh/init_run_exclusive_canfar.sh b/scripts/sh/init_run_exclusive_canfar.sh index 1faedc767..dbc9b7b9a 100755 --- a/scripts/sh/init_run_exclusive_canfar.sh +++ b/scripts/sh/init_run_exclusive_canfar.sh @@ -250,6 +250,9 @@ fi cd $ID pwd +# Point cfis to local link, to be independent of platform +ln -sf ~/shapepipe/examples/cfis + if [ ! -d "output" ]; then command "mkdir output" $dry_run From e3a9e36302d2c339c72dee20a82097127def11f8 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Sun, 17 Nov 2024 10:48:14 +0100 Subject: [PATCH 114/217] command -> functions.sh --- scripts/sh/functions.sh | 99 ++++++++++++++++++------- scripts/sh/init_run_exclusive_canfar.sh | 53 ++----------- 2 files changed, 78 insertions(+), 74 deletions(-) diff --git a/scripts/sh/functions.sh b/scripts/sh/functions.sh index ce8b2dfba..698a8e007 100644 --- a/scripts/sh/functions.sh +++ b/scripts/sh/functions.sh @@ -1,12 +1,13 @@ -# Global variables -SSL=~/.ssl/cadcproxy.pem -SESSION=https://ws-uv.canfar.net/skaha/v0/session -IMAGE=images.canfar.net/unions/shapepipe +# Global variables +SSL=~/.ssl/cadcproxy.pem +SESSION=https://ws-uv.canfar.net/skaha/v0/session +IMAGE=images.canfar.net/unions/shapepipe NAME=shapepipe version="1.1" cmd_remote="$HOME/shapepipe/scripts/sh/init_run_exclusive_canfar.sh" pat="- " +STOP=0 # Return argument for local script to be called via curl @@ -22,31 +23,77 @@ function update_session_logs() { echo "$my_session $ID" >> session_image_IDs.txt } -function call_curl() { - my_name=$1 - dry_run=$2 +function call_curl() { + my_name=$1 + dry_run=$2 debug_out=$3 - - my_arg=$(set_arg) - - if [ "$dry_run" == "0" ]; then - + + my_arg=$(set_arg) + + if [ "$dry_run" == "0" ]; then + #my_session=`curl -E $SSL "$SESSION?$RESOURCES" -d "image=$IMAGE:$version" -d "name=${my_name}" -d "cmd=$cmd_remote" --data-urlencode "args=${my_arg[@]}" &> /dev/null` my_session=`curl -E $SSL "$SESSION?$RESOURCES" -d "image=$IMAGE:$version" -d "name=${my_name}" -d "cmd=$cmd_remote" --data-urlencode "args=${my_arg[@]}"` - fi - - + fi + + cmd=("curl" "-E" "$SSL" "$SESSION?$RESOURCES" "-d" "image=$IMAGE:$version" "-d" "name=${my_name}" "-d" "cmd=$cmd_remote" "--data-urlencode" "args=\"${my_arg}\"") - - #if [ "$debug_out" != "-1" ]; then - #echo "${pat}call_curl $my_name $my_arg" >> $debug_out - #echo "${pat}Running ${cmd[@]} (dry_run=$dry_run)" >> $debug_out - #fi - echo "${cmd[@]} (dry_run=$dry_run)" - - - # Running $cmd does not work due to unknown problems with passing of args - - update_session_logs + + #if [ "$debug_out" != "-1" ]; then + #echo "${pat}call_curl $my_name $my_arg" >> $debug_out + #echo "${pat}Running ${cmd[@]} (dry_run=$dry_run)" >> $debug_out + #fi + echo "${cmd[@]} (dry_run=$dry_run)" + + + # Running $cmd does not work due to unknown problems with passing of args + + update_session_logs +} + + +## Print string, executes command, and prints return value. +function command () { + cmd=$1 + dry_run=$2 + + RED='\033[0;31m' + GREEN='\033[0;32m' + NC='\033[0m' # No Color + # Color escape characters show up in log files + #RED='' + #GREEN='' + #NC='' + + msg="running '$cmd' (dry run=$dry_run)" + if [ $VERBOSE == 1 ]; then + echo $msg + fi + if [ "$debug_out" != "-1" ]; then + echo ${pat}$msg >> $debug_out + fi + + if [ "$dry_run" == "0" ]; then + $cmd + res=$? + + if [ "$debug_out" != "-1" ]; then + echo "${pat}exit code = $res" >> $debug_out + fi + + if [ $VERBOSE == 1 ]; then + if [ $res == 0 ]; then + echo -e "${GREEN}success, return value = $res${NC}" + else + echo -e "${RED}error, return value = $res${NC}" + if [ $STOP == 1 ]; then + echo "${RED}exiting $(basename "$0")', error in command '$cmd'${NC}" + exit $res + else + echo "${RED}continuing '$(basename "$0")', error in command '$cmd'${NC}" + fi + fi + fi + fi } diff --git a/scripts/sh/init_run_exclusive_canfar.sh b/scripts/sh/init_run_exclusive_canfar.sh index 71eabf7c4..8450b79d5 100755 --- a/scripts/sh/init_run_exclusive_canfar.sh +++ b/scripts/sh/init_run_exclusive_canfar.sh @@ -114,52 +114,11 @@ if [ "$mh_local" != "0" ] && [ "$mh_local" != "1" ]; then exit 5 fi -# Functions - -## Print string, executes command, and prints return value. -function command () { - cmd=$1 - dry_run=$2 - - RED='\033[0;31m' - GREEN='\033[0;32m' - NC='\033[0m' # No Color - # Color escape characters show up in log files - #RED='' - #GREEN='' - #NC='' - - msg="running '$cmd' (dry run=$dry_run)" - if [ $VERBOSE == 1 ]; then - echo $msg - fi - if [ "$debug_out" != "-1" ]; then - echo ${pat}$msg >> $debug_out - fi - - if [ "$dry_run" == "0" ]; then - $cmd - res=$? - - if [ "$debug_out" != "-1" ]; then - echo "${pat}exit code = $res" >> $debug_out - fi - if [ $VERBOSE == 1 ]; then - if [ $res == 0 ]; then - echo -e "${GREEN}success, return value = $res${NC}" - else - echo -e "${RED}error, return value = $res${NC}" - if [ $STOP == 1 ]; then - echo "${RED}exiting $(basename "$0")', error in command '$cmd'${NC}" - exit $res - else - echo "${RED}continuing '$(basename "$0")', error in command '$cmd'${NC}" - fi - fi - fi - fi -} +# Start script + +source $HOME/shapepipe/scripts/sh/functions.sh + msg="Starting $(basename "$0")" echo $msg @@ -252,15 +211,13 @@ cd $ID pwd # Point cfis to local link, to be independent of platform -ln -sf ~/shapepipe/examples/cfis +ln -sf ~/shapepipe/example/cfis if [ ! -d "output" ]; then command "mkdir output" $dry_run fi -ln -sf ~/shapepipe/example/cfis - cd output From 4eb181b5323562318332d9c4fcea8dc8b7f9183b Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Sun, 17 Nov 2024 10:49:07 +0100 Subject: [PATCH 115/217] run_scratch_local: script to run and submit jobs on candide; analogue to init_run_exclusive --- scripts/sh/run_scratch_local.sh | 156 ++++++++++++++++++++++++++++++++ 1 file changed, 156 insertions(+) create mode 100755 scripts/sh/run_scratch_local.sh diff --git a/scripts/sh/run_scratch_local.sh b/scripts/sh/run_scratch_local.sh new file mode 100755 index 000000000..ee4094ff4 --- /dev/null +++ b/scripts/sh/run_scratch_local.sh @@ -0,0 +1,156 @@ +#!/usr/bin/bash + +# Command line arguments +## Default values +job=-1 +ID=-1 +N_SMP=1 +dry_run=0 +dir=`pwd` +debug_out=-1 +scratch=/n17data/`whoami`/scratch +exec_path=$HOME/shapepipe/scripts/sh +slurm=1 + +# mh_local is 0 (1) if merge_header_runner is run on all exposures, +# which is standard so far (run on exposures of given tile only; new) +mh_local=0 + +# sp_local is 0 (1) is split_headers_runner and mask_runner is run +# on all exposures (locally). Not 100% automatic yet. +sp_local=1 +VERBOSE=1 + +pat="-- " + +# Help string +usage="Usage: $(basename "$0") -j JOB -e ID -k KIND [OPTIONS] +\n\nOptions:\n + -h\tthis message\n + -j, --job JOB\tRUnning JOB, bit-coded\n + -e, --exclusive ID + \timage ID\n + -p, --psf MODEL\n + \tPSF model, one in ['psfex'|'mccd'], default='$psf'\n + -m, --mh_local MH\n + \tmerged header file local (MH=0) or global (MH=1); default is $mh_local\n + -N, --N_SMP N_SMOp\n + \tnumber of jobs (SMP mode only), default from original config files\n + -d, --directory\n + \trun directory, default is pwd ($dir)\n + -n, --dry_run\n + \tdry run, no actuall processing\n + --debug_out PATH\n + \tdebug output file PATH, default not used\n +" + +## Help if no arguments +if [ -z $1 ]; then + echo -ne $usage + exit 1 +fi + +## Parse command line +while [ $# -gt 0 ]; do + case "$1" in + -h) + echo -ne $usage + exit 0 + ;; + -j|--job) + job="$2" + shift + ;; + -e|--exclusive) + ID="$2" + shift + ;; + -p|--psf) + psf="$2" + shift + ;; + -m|--mh_local) + mh_local="$2" + shift + ;; + -N|--N_SMP) + N_SMP="$2" + shift + ;; + -d|--directory) + dir="$2" + shift + ;; + -n|--dry_run) + dry_run=1 + ;; + --debug_out) + debug_out="$2" + shift + ;; + esac + shift +done + +## Check options +if [ "$job" == "-1" ]; then + echo "No job indicated, use option -j" + exit 2 +fi + +if [ "$exclusive" == "-1" ]; then + echo "No image ID indicated, use option -e" + exit 3 +fi + +if [ "$psf" != "psfex" ] && [ "$psf" != "mccd" ]; then + echo "PSF (option -p) needs to be 'psfex' or 'mccd'" + exit 4 +fi + + +# Load common functions +source $HOME/shapepipe/scripts/sh/functions.sh + + +# Start script + +if [ "$scratch" != "-1" ]; then + command "mkdir -p $scratch/exp_runs" $dry_run + command "cp -R exp_runs/$ID $scratch/exp_runs" $dry_run + command "cd $scratch" $dry_run + + if [ "$slurm" == "0" ]; then + command "init_run_exclusive_canfar.sh -j $job -p $psf -m $mh_local -N $N_SMP -e $ID" $dry_run + else + STATUS=$(sbatch --output=./sbatch-$ID.out --partition=comp --job-name="j${job}_${ID}" --ntasks-per-node=$N_SMP --time=4:00:00 --mem=64G $exec_path/init_run_exclusive_canfar.sh -j $job -p $psf -m $mh_local -N $N_SMP -e $ID) + + JOB_ID=$(echo $STATUS | cut -d ' ' -f 4) + echo "JOB_ID=$JOB_ID" + + # Wait for the job to finish + while true; do + STATUS=$(squeue -j "$JOB_ID" -h -o "%T") + if [[ -z "$STATUS" ]]; then + echo "job $JOB_ID no longer in the queue" + break + fi + + echo "Waiting for job $JOB_ID in state '$STATUS' to complete..." + sleep 10 + done + + echo "Job $JOB_ID has completed. Proceeding with the script..." + fi + + if [ "$job" == "32" ]; then + command "mv exp_runs/$ID/output/run_sp_exp_SxSe* $dir/exp_runs/$ID/output" $dry_run + command "rm -rf exp_runs/$ID" $dry_run + command "cd $dir/exp_runs/$ID" $dry_run + # Gave Input/Output python error + #command "update_runs_log_file.py" $dry_run + command "cd $dir" $dry_run + fi +fi + +exit 0 From e6967cdff4eea3c0c21a658d410550d376f9c738 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 22 Nov 2024 09:35:40 +0000 Subject: [PATCH 116/217] sp_local as argument for init script --- scripts/python/get_number_objects.py | 4 ---- scripts/sh/init_run_exclusive_canfar.sh | 13 ++++++++++++- 2 files changed, 12 insertions(+), 5 deletions(-) diff --git a/scripts/python/get_number_objects.py b/scripts/python/get_number_objects.py index e2b6c9a15..a8043e727 100755 --- a/scripts/python/get_number_objects.py +++ b/scripts/python/get_number_objects.py @@ -216,12 +216,8 @@ def main(argv=None): # Get latest run last_dir = paths[-1] -<<<<<<< HEAD # Get all output SExtractor catalogues - file_list = glob.glob(f'{last_dir}/{pattern}*.fits') -======= file_list = glob.glob(f"{last_dir}/{pattern}*.fits") ->>>>>>> origin/v1.4 if len(file_list) == 0: raise ValueError(f"No files {last_dir}/{pattern}*.fits found") diff --git a/scripts/sh/init_run_exclusive_canfar.sh b/scripts/sh/init_run_exclusive_canfar.sh index a4fef46f8..d60bcd36c 100755 --- a/scripts/sh/init_run_exclusive_canfar.sh +++ b/scripts/sh/init_run_exclusive_canfar.sh @@ -34,7 +34,9 @@ usage="Usage: $(basename "$0") -j JOB -e ID -k KIND [OPTIONS] -p, --psf MODEL\n \tPSF model, one in ['psfex'|'mccd'], default='$psf'\n -m, --mh_local MH\n - \tmerged header file local (MH=0) or global (MH=1); default is $mh_local\n + \tmerge header file local (MH=1) or global (MH=0); default is $mh_local\n + -s, --sp_local SP\n + \tsplit local run local (SP=1) or global (SP=r0wwdefault is $sp_local\n -N, --N_SMP N_SMOp\n \tnumber of jobs (SMP mode only), default from original config files\n -d, --directory\n @@ -74,6 +76,10 @@ while [ $# -gt 0 ]; do mh_local="$2" shift ;; + -s|--sp_local) + sp_local="$2" + shift + ;; -N|--N_SMP) N_SMP="$2" shift @@ -114,6 +120,11 @@ if [ "$mh_local" != "0" ] && [ "$mh_local" != "1" ]; then exit 5 fi +if [ "$sp_local" != "0" ] && [ "$sp_local" != "1" ]; then + echo "sp_local (option -m) needs to be 0 or 1" + exit 6 +fi + # Functions ## Print string, executes command, and prints return value. From 24015bab72f8c9d8c5f13dd0e37f4ba64e113045 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 22 Nov 2024 09:36:26 +0000 Subject: [PATCH 117/217] added check in psfe interp runner if no object is in HDU (rare cases of entire image masked due to Stephen Gwyn --- .../psfex_interp_package/psfex_interp.py | 17 ++++++++++++++++- 1 file changed, 16 insertions(+), 1 deletion(-) diff --git a/shapepipe/modules/psfex_interp_package/psfex_interp.py b/shapepipe/modules/psfex_interp_package/psfex_interp.py index dc18a0339..817a41d01 100644 --- a/shapepipe/modules/psfex_interp_package/psfex_interp.py +++ b/shapepipe/modules/psfex_interp_package/psfex_interp.py @@ -600,7 +600,22 @@ def _interpolate_me(self): final_list = [] for hdu_index in hdu_ind: - exp_name = cat.get_data(hdu_index)["EXP_NAME"][0] + data = cat.get_data(hdu_index) + self._w_log.info(data) + + # Read exposure name. Since each input HDU corresponds to one + # exposure, they are identical in each colum. + exp_names = data["EXP_NAME"] + + # Continue if empty (no objected detected from this exposure) + if len(exp_names) == 0: + self._w_log.info( + "No object detected from exp {exp_name}, hdu #{hdu_index}" + ) + continue + + exp_name = exp_names[0] + #exp_name = cat.get_data(hdu_index)["EXP_NAME"][0] ccd_list = list(set(cat.get_data(hdu_index)["CCD_N"])) array_psf = None array_id = None From 30cb4509ba602b427d78ba3fab82755a36975809 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 22 Nov 2024 09:37:10 +0000 Subject: [PATCH 118/217] sextractor runner: fixed stderr, stdout order; added to log file to document SExtractor error message --- shapepipe/modules/sextractor_runner.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/shapepipe/modules/sextractor_runner.py b/shapepipe/modules/sextractor_runner.py index 869523441..33173fd8b 100644 --- a/shapepipe/modules/sextractor_runner.py +++ b/shapepipe/modules/sextractor_runner.py @@ -94,7 +94,12 @@ def sextractor_runner( w_log.info(f"Calling command: {command_line}") # Execute command line - stderr, stdout = execute(command_line) + stdout, stderr = execute(command_line) + w_log.info("stdout:") + w_log.info(stdout) + w_log.info("stderr") + w_log.info(stderr) + w_log.info("end") # Parse SExtractor errors stdout, stderr = ss_inst.parse_errors(stderr, stdout) From ec6718a474ec30477939439efa3e33ff30d4a35c Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 22 Nov 2024 09:37:38 +0000 Subject: [PATCH 119/217] summmary added special case of empty FITS file (mask runner) --- shapepipe/utilities/summary.py | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/shapepipe/utilities/summary.py b/shapepipe/utilities/summary.py index e75038c98..c928eff22 100755 --- a/shapepipe/utilities/summary.py +++ b/shapepipe/utilities/summary.py @@ -198,6 +198,13 @@ def check_special_one(module, path): msg = "found array of size 0" return msg, code + if module == "mask_runner": + m = re.search("Empty or corrupt FITS file", line) + if m: + code = 4 + msg = "empty or corrult FITS file" + return msg, code + return None, None From 6d0f6d5b351d03aaa51bd21ca7677504dab30fb6 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 22 Nov 2024 09:42:12 +0000 Subject: [PATCH 120/217] added code to .gitignore --- .gitignore | 1 + 1 file changed, 1 insertion(+) diff --git a/.gitignore b/.gitignore index 5d9bffa78..b08fc3c54 100644 --- a/.gitignore +++ b/.gitignore @@ -133,3 +133,4 @@ dmypy.json # Ignore example output *shapepipe_run_* *shapepipe_runs* +code From 53b3e7a2429a5be2b5b17f43df661ef649538c51 Mon Sep 17 00:00:00 2001 From: Cail Daley Date: Fri, 22 Nov 2024 15:07:35 +0100 Subject: [PATCH 121/217] add new dockerfile --- Dockerfile | 144 ++++++++++++++++++++++++++++++++++------------------- 1 file changed, 94 insertions(+), 50 deletions(-) diff --git a/Dockerfile b/Dockerfile index 7d2785ab2..3ce826a70 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,57 +1,101 @@ -FROM continuumio/miniconda3 +FROM python:3.9-bookworm -LABEL Description="ShapePipe Docker Image" -ENV SHELL /bin/bash +LABEL Description="Conda-Free ShapePipe Docker Image" +ENV SHELL=/bin/bash -ARG CC=gcc-9 -ARG CXX=g++-9 +# Install system dependencies +RUN apt-get update -y --quiet --fix-missing && \ + apt-get dist-upgrade -y --quiet --fix-missing && \ + apt-cache policy autconf && \ + apt-get install -y --quiet \ + apt-utils \ + autoconf \ + automake \ + build-essential \ + cmake \ + curl \ + ffmpeg \ + g++ \ + gcc \ + gfortran \ + git-lfs \ + libatlas-base-dev \ + libblas-dev \ + liblapack-dev \ + libcfitsio-dev \ + libfftw3-bin \ + libfftw3-dev \ + libgl1-mesa-glx \ + libtool \ + libtool-bin \ + libtool-doc \ + locales \ + locate \ + make \ + openmpi-bin \ + libopenmpi-dev \ + pkg-config \ + protobuf-compiler \ + psfex=3.21.1-1 \ + sextractor=2.25.0+ds-3 \ + weightwatcher=1.12+dfsg-3 \ + vim \ + xterm && \ + apt-get clean -y && \ + apt-get autoremove --purge --quiet -y && \ + rm -rf /var/lib/apt/lists/* /var/tmp/* -# gcc < 10 is required to compile ww -ENV CC=gcc-9 -ENV CXX=g++-9 +# Install CDS client by hand +RUN cd /tmp && \ + curl -O http://cdsarc.u-strasbg.fr/ftp/pub/sw/cdsclient.tar.gz && \ + tar xvfz cdsclient.tar.gz \ + && cd cdsclient-* \ + && ./configure && make && make install \ + && rm -rf /tmp/* -RUN apt-get update --allow-releaseinfo-change && \ - apt-get update && \ - apt-get upgrade -y && \ - apt-get install apt-utils -y && \ - apt-get install make -y && \ - apt-get install automake -y && \ - apt-get install autoconf -y && \ - apt-get install gcc-9 g++-9 -y && \ - apt-get install gfortran -y && \ - apt-get install locales -y && \ - apt-get install libgl1-mesa-glx -y && \ - apt-get install xterm -y && \ - apt-get install cmake protobuf-compiler -y && \ - apt-get install libtool libtool-bin libtool-doc -y && \ - apt-get install libfftw3-bin libfftw3-dev -y && \ - apt-get install libatlas-base-dev liblapack-dev libblas-dev -y && \ - apt-get install vim -y && \ - apt-get install locate -y && \ - apt-get install curl -y && \ - apt-get install acl -y && \ - apt-get install sssd -y && \ - apt-get clean +# Install python dependencies +RUN pip install --no-cache-dir --upgrade pip && \ + pip install --no-cache-dir \ + astropy==5.2 \ + cs_util==0.1.0 \ + galsim==2.6.1 \ + ipython==8.18.1 \ + joblib==1.1.0 \ + jupyterlab==4.3.1 \ + matplotlib==3.8.4 \ + mccd==1.2.4 \ + modopt==1.6.1 \ + mpi4py==3.1.3 \ + numba==0.58.1 \ + numpy==1.26.4 \ + numpydoc==1.2 \ + pandas==1.4.1 \ + pytest==8.3.3 \ + pytest-cov==5.0.0 \ + pytest-pycodestyle==2.4.1 \ + pytest-pydocstyle==2.4.0 \ + python-pysap==0.2.1 \ + reproject==0.8 \ + sf_tools==2.0.4 \ + sip_tpv==1.1 \ + skaha==1.4.3 \ + sqlitedict==2.0.0 \ + termcolor==1.1.0 \ + tqdm==4.63.0 \ + treecorr==4.2.6 \ + vos==3.6.1.1 \ + git+https://github.com/aguinot/ngmix@stable_version \ + git+https://github.com/tobias-liaudat/Stile@v0.1 -ADD nsswitch.conf /etc/ -RUN sed -i '/en_US.UTF-8/s/^# //g' /etc/locale.gen && \ - locale-gen -ENV LANG en_US.UTF-8 -ENV LANGUAGE en_US:en -ENV LC_ALL en_US.UTF-8 +WORKDIR /app +COPY . /app/. -SHELL ["/bin/bash", "--login", "-c"] - -COPY ./environment.yml ./ -COPY install_shapepipe README.rst setup.py setup.cfg ./ -RUN touch ./README.md - -RUN conda update -n base -c defaults conda -c defaults -RUN conda env create --file environment.yml - -COPY shapepipe ./shapepipe -COPY scripts ./scripts - -RUN source activate shapepipe -#RUN pip install jupyter +# Install shapepipe and symlink scripts +RUN pip install --no-cache-dir -e . && \ + for ext in .py .sh .bash; do \ + for script in /app/scripts/*/*$ext; do \ + link_name=`basename $script $ext`; \ + ln -s $script /usr/local/bin/$link_name; \ + done; \ + done \ No newline at end of file From 36ce5b1ba2ccf2e45f7f0a82c8a7a19d44c3090d Mon Sep 17 00:00:00 2001 From: Cail Daley Date: Fri, 22 Nov 2024 15:20:59 +0100 Subject: [PATCH 122/217] change cd.yml --- .github/workflows/cd.yml | 49 +++++++++++++++++++++++----------------- 1 file changed, 28 insertions(+), 21 deletions(-) diff --git a/.github/workflows/cd.yml b/.github/workflows/cd.yml index c9dcc597a..d254a5848 100644 --- a/.github/workflows/cd.yml +++ b/.github/workflows/cd.yml @@ -3,42 +3,49 @@ name: Deploy API Docs on: push: branches: - - master - - main + - v1.4_docker jobs: - api: - name: Deploy API Documentation - runs-on: ubuntu-latest + test-full: + name: Full Test Suite + runs-on: ${{ matrix.os }} + + strategy: + fail-fast: false + matrix: + os: [ubuntu-latest, macos-latest] + python-version: [3.8] steps: - uses: actions/checkout@v2 + - name: Install Linux dependencies + if: runner.os == 'Linux' + run: sudo apt-get install libopenblas-dev + + - name: Install macOS Dependencies + shell: bash -l {0} + if: runner.os == 'macOS' + run: | + brew tap sfarrens/sf + brew install bigmac libomp + - name: Set up conda uses: conda-incubator/setup-miniconda@v2 with: auto-update-conda: true - python-version: 3.9 + python-version: ${{ matrix.python-version }} auto-activate-base: true - - name: Install dependencies + - name: Install package shell: bash -l {0} run: | - ./install_shapepipe --develop --no-exe --no-mpi - conda activate shapepipe - python -m pip install --upgrade importlib-metadata - conda install -c conda-forge pandoc + ./install_shapepipe --env-dev --develop - - name: Build API documentation + - name: Run tests shell: bash -l {0} run: | - conda activate shapepipe - sphinx-apidoc -t docs/_templates -feTMo docs/source shapepipe shapepipe/modules/*_runner.py - sphinx-build -E docs/source docs/_build - - - name: Deploy API documentation - uses: peaceiris/actions-gh-pages@v3.5.9 - with: - github_token: ${{ secrets.GITHUB_TOKEN }} - publish_dir: docs/_build + conda activate shapepipe-dev + python setup.py test + shapepipe_run -c example/config.ini From c333fad08d865d44bd71135ec702ef5f5121af92 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Fri, 22 Nov 2024 15:29:06 +0100 Subject: [PATCH 123/217] functions: get_kind_from_job function --- scripts/sh/functions.sh | 52 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 52 insertions(+) diff --git a/scripts/sh/functions.sh b/scripts/sh/functions.sh index ce8b2dfba..2d1a7da58 100644 --- a/scripts/sh/functions.sh +++ b/scripts/sh/functions.sh @@ -50,3 +50,55 @@ function call_curl() { update_session_logs } + +function get_kind_from_job() { + my_job=$1 + + job_to_test=2 + kind="none" + + # loop over possible job numbers + while [ $job_to_test -le 1024 ]; do + + (( do_job = $job & $job_to_test )) + if [[ $do_job != 0 ]]; then + + if [ $job_to_test == 32 ]; then + if [ "$kind" == "tile" ]; then + echo "Error: Invalid job $job. mixing tile and exp kinds" + exit 6 + fi + + # job=32 -> set kind to exp + kind="exp" + elif [ $job_to_test == 2 ]; then + if [ "$kind" == "tile" ]; then + echo "Error: Invalid job $job. mixing tile and exp kinds" + exit 6 + fi + + kind="exp" + elif [ $job_to_test == 8 ]; then + if [ "$kind" == "tile" ]; then + echo "Error: Invalid job $job. mixing tile and exp kinds" + exit 6 + fi + + kind="exp" + else + if [ "$kind" == "exp" ]; then + echo "Error: Invalid job $job. mixing tile and exp kinds" + exit 6 + fi + + # job != 32 -> set kind to tile + kind="tile" + fi + + fi + + # Multiply job number by two to get next bitwise number + job_to_test=$((job_to_test * 2)) + done + + echo $kind From 6728c032da946f59c4a3559c3515c1c0e9976c68 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Fri, 22 Nov 2024 15:29:41 +0100 Subject: [PATCH 124/217] set back conda version --- scripts/sh/init_run_exclusive_canfar.sh | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/scripts/sh/init_run_exclusive_canfar.sh b/scripts/sh/init_run_exclusive_canfar.sh index a4fef46f8..76a260d6b 100755 --- a/scripts/sh/init_run_exclusive_canfar.sh +++ b/scripts/sh/init_run_exclusive_canfar.sh @@ -212,7 +212,7 @@ while [ $job_to_test -le 1024 ]; do fi - # Multiply job number by two to get next biwise number + # Multiply job number by two to get next bitwise number job_to_test=$((job_to_test * 2)) done @@ -226,7 +226,7 @@ if [ "$dry_run" == 1 ]; then echo "in dry run mode" fi -CONDA_PREFIX=/arc/home/kilbinger/.conda/envs/shapepipe +CONDA_PREFIX=$HOME/.conda/envs/shapepipe PATH=$PATH:$CONDA_PREFIX/bin if [ "$debug_out" != "-1" ]; then echo "${pat}conda prefix = ${CONDA_PREFIX}" >> $debug_out From f2f1998f114f581a2eb3830705a1c63ace0200d5 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 22 Nov 2024 15:30:48 +0100 Subject: [PATCH 125/217] get_kind from init --- scripts/sh/init_run_exclusive_canfar.sh | 47 +------------------------ scripts/sh/run_scratch_local.sh | 12 ++++++- 2 files changed, 12 insertions(+), 47 deletions(-) diff --git a/scripts/sh/init_run_exclusive_canfar.sh b/scripts/sh/init_run_exclusive_canfar.sh index 8450b79d5..2ebc569a8 100755 --- a/scripts/sh/init_run_exclusive_canfar.sh +++ b/scripts/sh/init_run_exclusive_canfar.sh @@ -128,52 +128,7 @@ if [ "$debug_out" != "-1" ]; then fi # Set kind -job_to_test=2 -kind="none" - -# loop over possible job numbers -while [ $job_to_test -le 1024 ]; do - - (( do_job = $job & $job_to_test )) - if [[ $do_job != 0 ]]; then - - if [ $job_to_test == 32 ]; then - if [ "$kind" == "tile" ]; then - echo "Error: Invalid job $job. mixing tile and exp kinds" - exit 6 - fi - - # job=32 -> set kind to exp - kind="exp" - elif [ $job_to_test == 2 ]; then - if [ "$kind" == "tile" ]; then - echo "Error: Invalid job $job. mixing tile and exp kinds" - exit 6 - fi - - kind="exp" - elif [ $job_to_test == 8 ]; then - if [ "$kind" == "tile" ]; then - echo "Error: Invalid job $job. mixing tile and exp kinds" - exit 6 - fi - - kind="exp" - else - if [ "$kind" == "exp" ]; then - echo "Error: Invalid job $job. mixing tile and exp kinds" - exit 6 - fi - - # job != 32 -> set kind to tile - kind="tile" - fi - - fi - - # Multiply job number by two to get next biwise number - job_to_test=$((job_to_test * 2)) -done +kind=$(get_kind_from_job $job) if [ "$kind" == "none" ]; then echo "Error: invalid job $job" diff --git a/scripts/sh/run_scratch_local.sh b/scripts/sh/run_scratch_local.sh index ee4094ff4..8e350d36b 100755 --- a/scripts/sh/run_scratch_local.sh +++ b/scripts/sh/run_scratch_local.sh @@ -109,6 +109,16 @@ if [ "$psf" != "psfex" ] && [ "$psf" != "mccd" ]; then fi +source $HOME/shapepipe/scripts/sh/functions.sh + + +kind=$(get_kind_from_job $job) +echo $kind +exit 0 + + + + # Load common functions source $HOME/shapepipe/scripts/sh/functions.sh @@ -123,7 +133,7 @@ if [ "$scratch" != "-1" ]; then if [ "$slurm" == "0" ]; then command "init_run_exclusive_canfar.sh -j $job -p $psf -m $mh_local -N $N_SMP -e $ID" $dry_run else - STATUS=$(sbatch --output=./sbatch-$ID.out --partition=comp --job-name="j${job}_${ID}" --ntasks-per-node=$N_SMP --time=4:00:00 --mem=64G $exec_path/init_run_exclusive_canfar.sh -j $job -p $psf -m $mh_local -N $N_SMP -e $ID) + STATUS=$(sbatch --output=./sbatch-$ID.out --partition=comp --job-name="j${job}_${ID}" --ntasks-per-node=$N_SMP --time=32:00:00 --mem=64G $exec_path/init_run_exclusive_canfar.sh -j $job -p $psf -m $mh_local -N $N_SMP -e $ID) JOB_ID=$(echo $STATUS | cut -d ' ' -f 4) echo "JOB_ID=$JOB_ID" From 0af84f14498a4de427617befa8c851c6743b02f4 Mon Sep 17 00:00:00 2001 From: Cail Daley Date: Fri, 22 Nov 2024 15:31:52 +0100 Subject: [PATCH 126/217] try docker ci --- .github/workflows/deploy-image.bak.yml | 41 ++++++++++++++++++++++++++ .github/workflows/deploy-image.yml | 41 +++++--------------------- 2 files changed, 49 insertions(+), 33 deletions(-) create mode 100644 .github/workflows/deploy-image.bak.yml diff --git a/.github/workflows/deploy-image.bak.yml b/.github/workflows/deploy-image.bak.yml new file mode 100644 index 000000000..81c31c7ad --- /dev/null +++ b/.github/workflows/deploy-image.bak.yml @@ -0,0 +1,41 @@ +name: Create and publish a Docker image + +on: + push: + branches: ['master'] + +env: + REGISTRY: ghcr.io + IMAGE_NAME: ${{ github.repository }} + +jobs: + build-and-push-image: + runs-on: ubuntu-latest + permissions: + contents: read + packages: write + + steps: + - name: Checkout repository + uses: actions/checkout@v3 + + - name: Log in to the Container registry + uses: docker/login-action@f054a8b539a109f9f41c372932f1ae047eff08c9 + with: + registry: ${{ env.REGISTRY }} + username: ${{ github.actor }} + password: ${{ secrets.GITHUB_TOKEN }} + + - name: Extract metadata (tags, labels) for Docker + id: meta + uses: docker/metadata-action@98669ae865ea3cffbcbaa878cf57c20bbf1c6c38 + with: + images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }} + + - name: Build and push Docker image + uses: docker/build-push-action@ad44023a93711e3deb337508980b4b5e9bcdc5dc + with: + context: . + push: true + tags: ${{ steps.meta.outputs.tags }} + labels: ${{ steps.meta.outputs.labels }} diff --git a/.github/workflows/deploy-image.yml b/.github/workflows/deploy-image.yml index 81c31c7ad..3753d56c4 100644 --- a/.github/workflows/deploy-image.yml +++ b/.github/workflows/deploy-image.yml @@ -1,41 +1,16 @@ -name: Create and publish a Docker image +name: Docker Image CI on: push: - branches: ['master'] - -env: - REGISTRY: ghcr.io - IMAGE_NAME: ${{ github.repository }} + branches: [ "v1.4_docker" ] jobs: - build-and-push-image: - runs-on: ubuntu-latest - permissions: - contents: read - packages: write - - steps: - - name: Checkout repository - uses: actions/checkout@v3 - - name: Log in to the Container registry - uses: docker/login-action@f054a8b539a109f9f41c372932f1ae047eff08c9 - with: - registry: ${{ env.REGISTRY }} - username: ${{ github.actor }} - password: ${{ secrets.GITHUB_TOKEN }} + build: - - name: Extract metadata (tags, labels) for Docker - id: meta - uses: docker/metadata-action@98669ae865ea3cffbcbaa878cf57c20bbf1c6c38 - with: - images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }} + runs-on: ubuntu-latest - - name: Build and push Docker image - uses: docker/build-push-action@ad44023a93711e3deb337508980b4b5e9bcdc5dc - with: - context: . - push: true - tags: ${{ steps.meta.outputs.tags }} - labels: ${{ steps.meta.outputs.labels }} + steps: + - uses: actions/checkout@v4 + - name: Build the Docker image + run: docker build . --file Dockerfile --tag shapepipe:v1.4 \ No newline at end of file From 0f6d4f40060473718f3355d7a11184816e11eed9 Mon Sep 17 00:00:00 2001 From: Cail Daley Date: Fri, 22 Nov 2024 15:56:30 +0100 Subject: [PATCH 127/217] more complex deploy-image --- .github/workflows/deploy-image.yml | 41 ++++++++++++++++++++++++------ 1 file changed, 33 insertions(+), 8 deletions(-) diff --git a/.github/workflows/deploy-image.yml b/.github/workflows/deploy-image.yml index 3753d56c4..3a2f16966 100644 --- a/.github/workflows/deploy-image.yml +++ b/.github/workflows/deploy-image.yml @@ -1,16 +1,41 @@ -name: Docker Image CI +name: Create and publish a Docker image on: push: - branches: [ "v1.4_docker" ] + branches: ['v1.4_docker'] -jobs: - - build: +env: + REGISTRY: ghcr.io + IMAGE_NAME: ${{ github.repository }} +jobs: + build-and-push-image: runs-on: ubuntu-latest + permissions: + contents: read + packages: write steps: - - uses: actions/checkout@v4 - - name: Build the Docker image - run: docker build . --file Dockerfile --tag shapepipe:v1.4 \ No newline at end of file + - name: Checkout repository + uses: actions/checkout@v3 + + - name: Log in to the Container registry + uses: docker/login-action@f054a8b539a109f9f41c372932f1ae047eff08c9 + with: + registry: ${{ env.REGISTRY }} + username: ${{ github.actor }} + password: ${{ secrets.GITHUB_TOKEN }} + + - name: Extract metadata (tags, labels) for Docker + id: meta + uses: docker/metadata-action@98669ae865ea3cffbcbaa878cf57c20bbf1c6c38 + with: + images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }} + + - name: Build and push Docker image + uses: docker/build-push-action@ad44023a93711e3deb337508980b4b5e9bcdc5dc + with: + context: . + push: true + tags: ${{ steps.meta.outputs.tags }} + labels: ${{ steps.meta.outputs.labels }} \ No newline at end of file From 1326055207abb041fc5f633349728583ca2a52b4 Mon Sep 17 00:00:00 2001 From: Cail Daley Date: Fri, 22 Nov 2024 15:58:29 +0100 Subject: [PATCH 128/217] turn off cd on this branch --- .github/workflows/cd.yml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.github/workflows/cd.yml b/.github/workflows/cd.yml index d254a5848..1df5d568a 100644 --- a/.github/workflows/cd.yml +++ b/.github/workflows/cd.yml @@ -3,7 +3,8 @@ name: Deploy API Docs on: push: branches: - - v1.4_docker + - master + - main jobs: From 4d4ee813fa47b650d6472ec2932db7ce989a5e59 Mon Sep 17 00:00:00 2001 From: Cail Daley Date: Fri, 22 Nov 2024 16:14:14 +0100 Subject: [PATCH 129/217] update to latest versions of gh actions, add macos --- .github/workflows/deploy-image.yml | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/.github/workflows/deploy-image.yml b/.github/workflows/deploy-image.yml index 3a2f16966..7214c9295 100644 --- a/.github/workflows/deploy-image.yml +++ b/.github/workflows/deploy-image.yml @@ -10,7 +10,9 @@ env: jobs: build-and-push-image: - runs-on: ubuntu-latest + runs-on: + - ubuntu-latest + - macos-latest permissions: contents: read packages: write @@ -20,7 +22,7 @@ jobs: uses: actions/checkout@v3 - name: Log in to the Container registry - uses: docker/login-action@f054a8b539a109f9f41c372932f1ae047eff08c9 + uses: docker/login-action with: registry: ${{ env.REGISTRY }} username: ${{ github.actor }} @@ -28,12 +30,12 @@ jobs: - name: Extract metadata (tags, labels) for Docker id: meta - uses: docker/metadata-action@98669ae865ea3cffbcbaa878cf57c20bbf1c6c38 + uses: docker/metadata-action with: images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }} - name: Build and push Docker image - uses: docker/build-push-action@ad44023a93711e3deb337508980b4b5e9bcdc5dc + uses: docker/build-push-action with: context: . push: true From 6da11f6d168db1a61f789df369701fa2973d55dc Mon Sep 17 00:00:00 2001 From: Cail Daley Date: Fri, 22 Nov 2024 16:21:49 +0100 Subject: [PATCH 130/217] added gh action versioning (point to master) --- .github/workflows/deploy-image.yml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/.github/workflows/deploy-image.yml b/.github/workflows/deploy-image.yml index 7214c9295..e57a6c89f 100644 --- a/.github/workflows/deploy-image.yml +++ b/.github/workflows/deploy-image.yml @@ -19,10 +19,10 @@ jobs: steps: - name: Checkout repository - uses: actions/checkout@v3 + uses: actions/checkout@master - name: Log in to the Container registry - uses: docker/login-action + uses: docker/login-action@master with: registry: ${{ env.REGISTRY }} username: ${{ github.actor }} @@ -35,7 +35,7 @@ jobs: images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }} - name: Build and push Docker image - uses: docker/build-push-action + uses: docker/build-push-action@master with: context: . push: true From 1454965ecdab1ba07f708b1e115bb0d3d30eb141 Mon Sep 17 00:00:00 2001 From: Cail Daley Date: Fri, 22 Nov 2024 16:23:15 +0100 Subject: [PATCH 131/217] fix missing gh action version --- .github/workflows/deploy-image.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/deploy-image.yml b/.github/workflows/deploy-image.yml index e57a6c89f..8c7933335 100644 --- a/.github/workflows/deploy-image.yml +++ b/.github/workflows/deploy-image.yml @@ -30,7 +30,7 @@ jobs: - name: Extract metadata (tags, labels) for Docker id: meta - uses: docker/metadata-action + uses: docker/metadata-action@master with: images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }} From 2537b023257012286a8cdf57405f54e414399fed Mon Sep 17 00:00:00 2001 From: Cail Daley Date: Fri, 22 Nov 2024 16:44:36 +0100 Subject: [PATCH 132/217] remove macos for now, pin major versions --- .github/workflows/deploy-image.yml | 11 ++++------- 1 file changed, 4 insertions(+), 7 deletions(-) diff --git a/.github/workflows/deploy-image.yml b/.github/workflows/deploy-image.yml index 8c7933335..df67f0d07 100644 --- a/.github/workflows/deploy-image.yml +++ b/.github/workflows/deploy-image.yml @@ -12,17 +12,14 @@ jobs: build-and-push-image: runs-on: - ubuntu-latest - - macos-latest + # - macos-latest permissions: contents: read packages: write steps: - - name: Checkout repository - uses: actions/checkout@master - - name: Log in to the Container registry - uses: docker/login-action@master + uses: docker/login-action@v3 with: registry: ${{ env.REGISTRY }} username: ${{ github.actor }} @@ -30,12 +27,12 @@ jobs: - name: Extract metadata (tags, labels) for Docker id: meta - uses: docker/metadata-action@master + uses: docker/metadata-action@v5 with: images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }} - name: Build and push Docker image - uses: docker/build-push-action@master + uses: docker/build-push-action@v6 with: context: . push: true From b5c6bb1d4007706ad81de535a9d561a57fbcf79b Mon Sep 17 00:00:00 2001 From: Cail Daley Date: Fri, 22 Nov 2024 16:50:12 +0100 Subject: [PATCH 133/217] remove context --- .github/workflows/deploy-image.yml | 1 - 1 file changed, 1 deletion(-) diff --git a/.github/workflows/deploy-image.yml b/.github/workflows/deploy-image.yml index df67f0d07..11fad26ac 100644 --- a/.github/workflows/deploy-image.yml +++ b/.github/workflows/deploy-image.yml @@ -34,7 +34,6 @@ jobs: - name: Build and push Docker image uses: docker/build-push-action@v6 with: - context: . push: true tags: ${{ steps.meta.outputs.tags }} labels: ${{ steps.meta.outputs.labels }} \ No newline at end of file From cce15b1721366ea0a04a5075dbcee8823ebf35a2 Mon Sep 17 00:00:00 2001 From: Cail Daley Date: Fri, 22 Nov 2024 17:08:48 +0100 Subject: [PATCH 134/217] revert galsim version --- Dockerfile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Dockerfile b/Dockerfile index 3ce826a70..56a44f26f 100644 --- a/Dockerfile +++ b/Dockerfile @@ -58,7 +58,7 @@ RUN pip install --no-cache-dir --upgrade pip && \ pip install --no-cache-dir \ astropy==5.2 \ cs_util==0.1.0 \ - galsim==2.6.1 \ + galsim==2.2.5 \ ipython==8.18.1 \ joblib==1.1.0 \ jupyterlab==4.3.1 \ From 349882abb0bd41117cf82aeb7855bca5ee5fc198 Mon Sep 17 00:00:00 2001 From: Cail Daley Date: Fri, 22 Nov 2024 17:25:07 +0100 Subject: [PATCH 135/217] add back PyQt5 --- Dockerfile | 2 ++ 1 file changed, 2 insertions(+) diff --git a/Dockerfile b/Dockerfile index 56a44f26f..6ebf9d058 100644 --- a/Dockerfile +++ b/Dockerfile @@ -70,6 +70,8 @@ RUN pip install --no-cache-dir --upgrade pip && \ numpy==1.26.4 \ numpydoc==1.2 \ pandas==1.4.1 \ + PyQt5==5.15.6 \ + pyqtgraph==0.12.4 \ pytest==8.3.3 \ pytest-cov==5.0.0 \ pytest-pycodestyle==2.4.1 \ From 3f04d63108459c7156c8030077a47bc3b9c73eaf Mon Sep 17 00:00:00 2001 From: Cail Daley Date: Fri, 22 Nov 2024 17:30:49 +0100 Subject: [PATCH 136/217] bump galsim minor version --- Dockerfile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Dockerfile b/Dockerfile index 6ebf9d058..ab5045272 100644 --- a/Dockerfile +++ b/Dockerfile @@ -58,7 +58,7 @@ RUN pip install --no-cache-dir --upgrade pip && \ pip install --no-cache-dir \ astropy==5.2 \ cs_util==0.1.0 \ - galsim==2.2.5 \ + galsim==2.2.6 \ ipython==8.18.1 \ joblib==1.1.0 \ jupyterlab==4.3.1 \ From cba0122efa89ff385a383102e85f436dc97c2afa Mon Sep 17 00:00:00 2001 From: Cail Daley Date: Fri, 22 Nov 2024 18:14:16 +0100 Subject: [PATCH 137/217] remove hardcoded conda python path in shapepipe_run --- scripts/python/shapepipe_run.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/scripts/python/shapepipe_run.py b/scripts/python/shapepipe_run.py index a60f1eaed..5a20c5c44 100755 --- a/scripts/python/shapepipe_run.py +++ b/scripts/python/shapepipe_run.py @@ -1,4 +1,4 @@ -#!/arc/home/kilbinger/.conda/envs/shapepipe/bin/python +#!/usr/bin/env python """SHAPEPIPE RUN SCRIPT From f506ec889bd185dd4f0ebd5cdb1aa5cf3f73b509 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Sun, 24 Nov 2024 12:58:19 +0000 Subject: [PATCH 138/217] added check in mask module for corrupt external flag file --- environment.yml | 1 + example/cfis/config_tile_Uz.ini | 3 +- scripts/python/create_final_cat.py | 256 +++++++++++++++++++++++ scripts/python/merge_final_cat.py | 1 + scripts/python/summary_params_pre_v2.py | 8 +- shapepipe/modules/mask_package/mask.py | 10 +- shapepipe/modules/ngmix_package/ngmix.py | 57 ++++- shapepipe/utilities/__init__.py | 2 +- shapepipe/utilities/summary.py | 15 +- 9 files changed, 334 insertions(+), 19 deletions(-) create mode 100644 scripts/python/create_final_cat.py diff --git a/environment.yml b/environment.yml index 59efba5d3..d36270fcb 100644 --- a/environment.yml +++ b/environment.yml @@ -16,6 +16,7 @@ dependencies: - automake - autoconf - cmake + - h5py - galsim - joblib - libtool diff --git a/example/cfis/config_tile_Uz.ini b/example/cfis/config_tile_Uz.ini index 0bfe1a5cb..8ff0a0737 100644 --- a/example/cfis/config_tile_Uz.ini +++ b/example/cfis/config_tile_Uz.ini @@ -53,7 +53,8 @@ TIMEOUT = 96:00:00 ## Module options [UNCOMPRESS_FITS_RUNNER] -INPUT_DIR = last:get_images_runner_run_1 +#INPUT_DIR = last:get_images_runner_run_1 +INPUT_DIR = last:get_images_runner #INPUT_MODULE = get_images_runner_run_1 FILE_PATTERN = CFIS_weight diff --git a/scripts/python/create_final_cat.py b/scripts/python/create_final_cat.py new file mode 100644 index 000000000..1c365fd97 --- /dev/null +++ b/scripts/python/create_final_cat.py @@ -0,0 +1,256 @@ +#!/usr/bin/env python + +# -*- coding: utf-8 -*- + +"""Script create_final_cat.py + +Create and update hdf5 file of all final ShapePipe output FITS files, runs of +ShapePipe module ``make_catalogue_runner``. Supercedes `merge_final_cat.py`. + +:Author: Martin Kilbinger + +""" + +import sys +import os +import re +import numpy as np +import tqdm +import glob +import h5py +from astropy.io import fits + +from cs_util import args as cs_args +from cs_util import logging + + +def set_params_from_command_line(args): + """Set Params From Command Line. + + """ + _params, _short_options, _types, _help_strings = ( + params_default() + ) + + # Read command line options + options = cs_args.parse_options( + _params, + _short_options, + _types, + _help_strings, + ) + + # Update parameter values from options + for key in options: + _params[key] = options[key] + + del options + + # Save calling command + logging.log_command(args) + + return _params + + +def params_default(): + """Params Default. + + Set default parameter values. + + """ + _params = { + "input_root_dir": ".", + "output_path": "final_cat.hdf5", + "param_path": None, + "hdu_num": 1, + } + _short_options = { + "input_root_dir": "-i", + "output_path": "-o", + "param_path": "-p", + } + _types = { + "hdu_num": "int", + } + _help_strings = { + "input_root_dir": "input root_dir for tile catalogues", + "output_path": "output path (hdf5 file)", + "param_path": "parameter file path, if not given use all columns", + } + + return _params, _short_options, _types, _help_strings + + +def read_param_file(path, verbose=False): + """Read Param File. + + Return parameter list read from file. + + Parameters + ---------- + path: str + input file name + verbose: bool, optional, default=False + verbose output if True + + Returns + ------- + list of str + parameter names + + """ + param_list = [] + + if path: + if verbose: + print(f"Reading parameter file {path}") + + with open(path) as f: + for line in f: + if line.startswith("#"): + continue + entry = line.rstrip() + if not entry or entry == "": + continue + param_list.append(entry) + + if verbose: + if len(param_list) > 0: + print(f"Copying {len(param_list)} columns", end="") + else: + print("Copying all columns", end="") + print(" into merged catalogue") + + param_list_unique = list(set(param_list)) + + if verbose: + n = len(param_list) - len(param_list_unique) + if n > 1: + print("Removed {n} duplicate entries") + + return param_list_unique + + +def check_params(params): + + return True + + +def process(params): + + #patch_pattern = re.compile(r"P\d") # Matches P followed by a single digit + patch_pattern = re.compile(r"P3") # Matches P followed by a single digit + + # Define the nested path pattern for locating `.fits` files + file_pattern = "output/run_sp_Mc_*/make_cat_runner/output/*.fits" + + # Regex pattern for tile IDs + id_pattern = re.compile(r"^\d+\.\d+$") + + # Open the HDF5 file (create it if it doesn't exist) + if params["verbose"]: + print(f"Initializing file {params['output_path']}") + with h5py.File(params["output_path"], "a") as hdf5_file: + + # Iterate over patches + for patch in os.listdir(params["input_root_dir"]): + if not patch_pattern.fullmatch(patch): # Skip non-matching entries + continue + + patch_path = os.path.join(params["input_root_dir"], patch) + + if not os.path.isdir(patch_path): + continue + + # Get or create a group for the patch + if f"patches/{patch}" in hdf5_file: + if params["verbose"]: + print(f"Extending group for patch {patch}") + patch_group = hdf5_file[f"patches/{patch}"] + else: + if params["verbose"]: + print(f"Creating new group for patch {patch}") + patch_group = hdf5_file.create_group(f"patches/{patch}") + + tile_runs_path = os.path.join(patch_path, "tile_runs") + #if params["verbose"]: + #print(f"Loop over tile IDs in {tile_runs_path}...") + subdirs = os.listdir(tile_runs_path) + #if params["verbose"]: + #print(f"{len(subdirs)} IDs found") + + for id in tqdm.tqdm(subdirs, total=len(subdirs)): + if id_pattern.match(id) and os.path.isdir(os.path.join(tile_runs_path, id)): + id_path = os.path.join(tile_runs_path, id) + + output_path = os.path.join(id_path, "output", "run_sp_Mc_*", "make_cat_runner", "output", "*.fits") + fits_files = glob.glob(output_path, recursive=True) + for fits_file in fits_files: + + # Skip if the dataset already exists + if id in patch_group: + if params["verbose"]: + print(f"Skipping {id} (already processed)") + continue + + #if params["verbose"]: + #print(f"Reading file {fits_file}...") + with fits.open(fits_file) as hdul: + data = hdul[params["hdu_num"]].data + + # If columns not given on input: read all column names + if params["param_list"] is None: + params["param_list"] = [col for col in data.keys()] + + try: + extracted_data = {col: data[col] for col in params["param_list"]} + except: + print("Error for ID {id}. Keys not found:") + for col in params["param_list"]: + if col not in data: + print(col, end=" ") + print() + continue + + # For columns with 2-entry quantities, ensure proper dtype + dtype = [] + structured_data = np.empty(len(extracted_data[params["param_list"][0]]), dtype=dtype) + for col in params["param_list"]: + if isinstance(extracted_data[col][0], (np.ndarray, tuple, list)): + num_elements = len(extracted_data[col][0]) + for idx in range(num_elements): + new_col_name = f"{col}_{idx}" + dtype.append((new_col_name, extracted_data[col].dtype)) + structured_data[new_col_name] = [x[i] for x in extracted_data[col]] # Extract element `i` + else: + dtype.append((col, extracted_data[col].dtype)) + structured_data[col] = extracted_data[col] + + # Create a new dataset + patch_group.create_dataset( + str(id), + data=structured_data, + dtype=dtype, + ) + + +def main(argv=None): + + if argv is None: + argv = sys.argv[0:] + params = set_params_from_command_line(argv) + + check_params(params) + + params["param_list"] = read_param_file(params["param_path"], verbose=params["verbose"]) + + process(params) + + return 0 + + +if __name__ == "__main__": + sys.exit(main(sys.argv)) + + + diff --git a/scripts/python/merge_final_cat.py b/scripts/python/merge_final_cat.py index 70ee8c0a4..9d9c10d21 100755 --- a/scripts/python/merge_final_cat.py +++ b/scripts/python/merge_final_cat.py @@ -188,6 +188,7 @@ class param return param +# MKDEBUG TODO: remove this function, duplicate in create_final_cat.py def read_param_file(path, verbose=False): """Read Param File. diff --git a/scripts/python/summary_params_pre_v2.py b/scripts/python/summary_params_pre_v2.py index 8fd548646..c3d887479 100644 --- a/scripts/python/summary_params_pre_v2.py +++ b/scripts/python/summary_params_pre_v2.py @@ -133,12 +133,14 @@ def set_jobs_v2_pre_v2(patch, verbose): jobs["16"] = job_data( 16, "run_sp_tile_Sx", - ["sextractor_runner"], - ["tile_IDs"], - n_mult=2, + ["sextractor_runner", "sextractor_runner"], + "tile_IDs", + n_mult=[2, 1], path_main=path_main, path_left="tile_runs", + path_output=["output", "logs"], output_subdirs=[f"{tile_ID}/output" for tile_ID in list_tile_IDs_dot], + special=[False, True], verbose=verbose, ) diff --git a/shapepipe/modules/mask_package/mask.py b/shapepipe/modules/mask_package/mask.py index dfd68e4e3..cd78538d0 100644 --- a/shapepipe/modules/mask_package/mask.py +++ b/shapepipe/modules/mask_package/mask.py @@ -1188,7 +1188,15 @@ def _build_final_mask( external_flag.open() if final_mask is not None: final_mask = final_mask.astype(np.int16, copy=False) - final_mask += external_flag.get_data()[:, :] + try: + ext_flag = external_flag.get_data() + except: + print( + "Problem while getting external flag data. Check" + + f" whether file {path_external_flag} is not corrupt" + ) + raise + final_mask += ext_flag[:, :] else: final_mask = external_flag.get_data()[:, :] external_flag.close() diff --git a/shapepipe/modules/ngmix_package/ngmix.py b/shapepipe/modules/ngmix_package/ngmix.py index 9a731d66e..c763d4d99 100644 --- a/shapepipe/modules/ngmix_package/ngmix.py +++ b/shapepipe/modules/ngmix_package/ngmix.py @@ -295,32 +295,37 @@ def compile_results(self, results): return output_dict - def save_results(self, output_dict): + def save_results(self, output_dict, f_out=None): """Save Results. Save the results into a FITS file. Parameters ---------- - output_dict + output_dict: dict Dictionary containing the results + f_out: file handler, optional + Output file handler; if ``Null`` (default), open in write mode """ - output_name = f"{self._output_dir}/ngmix{self._file_number_string}.fits" - - f = file_io.FITSCatalogue( - output_name, open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite - ) - n_hdu = len(output_dict.keys()) if n_hdu != 5: raise IndexError( f"FITS output file data has {n_hdu} HDUs," + " expected are 5" ) + + if f_out is None: + output_name = ( + f"{self._output_dir}/ngmix{self._file_number_string}.fits" + ) + f_out = file_io.FITSCatalogue( + output_name, open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite + ) for key in output_dict.keys(): - f.save_as_fits(output_dict[key], ext_name=key.upper()) + f_out.save_as_fits(output_dict[key], ext_name=key.upper()) + return f_out @classmethod def check_key(self, expccd_name_tmp, vign_cat, vignet_path): @@ -366,6 +371,15 @@ def process(self): count = 0 id_first = -1 id_last = -1 + save_batch = 1000 + saved_batch_cumul = 0 + count_batch = 0 + f_out = None + + if save_batch > 0: + self._w_log.info(f"Batch save mode, save every {save_batch} objectsa") + else: + self._w_log.info(f"No batch mode") self._w_log.info(f"Processing objects # {self._id_obj_min} ... {self._id_obj_max}") for i_tile, id_tmp in enumerate(obj_id): @@ -493,11 +507,32 @@ def process(self): continue count = count + 1 + count_batch = count_batch + 1 + res["obj_id"] = id_tmp res["n_epoch_model"] = len(gal_vign) final_res.append(res) + if count_batch == save_batch: + + # Put batch results together + res_dict = self.compile_results(final_res) + + # Save batch to disk + f_out = self.save_results(res_dict, f_out) + + saved_batch_cumul += count_batch + + self._w_log.info( + f"Batch-saved {count_batch} ({len(res_dict}) objects to" + + f" file, cumul={save_batch_cumul}" + ) + + # Reset for next batch + final_res = [] + count_batch = 0 + self._w_log.info( f"ngmix loop over objects finished, measured {count} " + f"objects, id first/last={id_first}/{id_last}" @@ -516,6 +551,10 @@ def process(self): # Save results self.save_results(res_dict) + self._w_log.info( + f"Saved {count} ({len(res_dict}) objects to file" + ) + def get_guess( img, diff --git a/shapepipe/utilities/__init__.py b/shapepipe/utilities/__init__.py index 15e59739c..5f0eab2d6 100644 --- a/shapepipe/utilities/__init__.py +++ b/shapepipe/utilities/__init__.py @@ -7,4 +7,4 @@ """ -__all__ = ["file_system", "cfis", "galaxy"] +__all__ = ["file_system", "cfis", "galaxy", "summary"] diff --git a/shapepipe/utilities/summary.py b/shapepipe/utilities/summary.py index c928eff22..f8ce6eae4 100755 --- a/shapepipe/utilities/summary.py +++ b/shapepipe/utilities/summary.py @@ -205,6 +205,13 @@ def check_special_one(module, path): msg = "empty or corrult FITS file" return msg, code + if module == "sextractor_runner": + m = re.search("sextracted 0", line) + if m: + code = 5 + msg = "No object detected (weight might be 0 everywhere)" + return msg, code + return None, None @@ -448,10 +455,10 @@ def check_special(self, module, idx): if msg: # First time occurance: create empty list for this code if code not in messages: - messages[code] = [msg] - else: - # Append file name, message, and code - messages[code].append(f"{name} {code} {msg}") + messages[code] = [] + + # Append file name, message, and code + messages[code].append(f"{name} {code} {msg}") if len(messages) > 0: # Loop over codes = key in messages dict From dbf1ef8e036b11b2a9abcbde585c2c2c2b3ff16b Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Sun, 24 Nov 2024 15:45:37 +0100 Subject: [PATCH 139/217] run scratch: introduced --- scripts/sh/functions.sh | 1 + scripts/sh/run_scratch_local.sh | 25 +++++++++++++------------ 2 files changed, 14 insertions(+), 12 deletions(-) diff --git a/scripts/sh/functions.sh b/scripts/sh/functions.sh index cac80de55..37f617644 100644 --- a/scripts/sh/functions.sh +++ b/scripts/sh/functions.sh @@ -149,3 +149,4 @@ function get_kind_from_job() { done echo $kind +} diff --git a/scripts/sh/run_scratch_local.sh b/scripts/sh/run_scratch_local.sh index 8e350d36b..f11f6959f 100755 --- a/scripts/sh/run_scratch_local.sh +++ b/scripts/sh/run_scratch_local.sh @@ -113,10 +113,6 @@ source $HOME/shapepipe/scripts/sh/functions.sh kind=$(get_kind_from_job $job) -echo $kind -exit 0 - - # Load common functions @@ -126,8 +122,9 @@ source $HOME/shapepipe/scripts/sh/functions.sh # Start script if [ "$scratch" != "-1" ]; then - command "mkdir -p $scratch/exp_runs" $dry_run - command "cp -R exp_runs/$ID $scratch/exp_runs" $dry_run + + command "mkdir -p $scratch/${kind}_runs" $dry_run + command "cp -R ${kind}_runs/$ID $scratch/${kind}_runs" $dry_run command "cd $scratch" $dry_run if [ "$slurm" == "0" ]; then @@ -154,13 +151,17 @@ if [ "$scratch" != "-1" ]; then fi if [ "$job" == "32" ]; then - command "mv exp_runs/$ID/output/run_sp_exp_SxSe* $dir/exp_runs/$ID/output" $dry_run - command "rm -rf exp_runs/$ID" $dry_run - command "cd $dir/exp_runs/$ID" $dry_run - # Gave Input/Output python error - #command "update_runs_log_file.py" $dry_run - command "cd $dir" $dry_run + command "mv ${kind}_runs/$ID/output/run_sp_exp_SxSe* $dir/${kind}_runs/$ID/output" $dry_run + elif [ "$job" == "64" ]; then + command "mv ${kind}_runs/$ID/output/run_sp_tile_PsViSm** $dir/${kind}_runs/$ID/output" $dry_run fi + + command "rm -rf ${kind}_runs/$ID" $dry_run + command "cd $dir/${kind}_runs/$ID" $dry_run + # Gave Input/Output python error + #command "update_runs_log_file.py" $dry_run + command "cd $dir" $dry_run + fi exit 0 From fbc621b30c4bf4e5ea69eda2cd0536d461b375b2 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Tue, 26 Nov 2024 19:11:49 +0000 Subject: [PATCH 140/217] Added messaged and error checks if input number patterns are inconsistent --- shapepipe/pipeline/file_handler.py | 25 ++++++++++++++++++------- 1 file changed, 18 insertions(+), 7 deletions(-) diff --git a/shapepipe/pipeline/file_handler.py b/shapepipe/pipeline/file_handler.py index a37b3ba13..979487312 100644 --- a/shapepipe/pipeline/file_handler.py +++ b/shapepipe/pipeline/file_handler.py @@ -996,12 +996,17 @@ def _save_match_patterns(output_file, mmap_list): """ num_pattern_list = [np.load(mmap, mmap_mode="r") for mmap in mmap_list] - np.save( - output_file, - reduce( - partial(np.intersect1d, assume_unique=True), num_pattern_list - ), - ) + num_pattern_intersect = reduce( + partial(np.intersect1d, assume_unique=True), num_pattern_list + ) + if len(num_pattern_intersect) == 0: + msg = ( + "Found numbers corresponding to the different input patterns" + + f" do not intersect: {[n[0] for n in num_pattern_list]}" + ) + raise ValueError(msg) + + np.save(output_file, num_pattern_intersect) del num_pattern_list @@ -1076,7 +1081,7 @@ def _format_process_list( Returns ------- - list + List of processes """ @@ -1087,6 +1092,12 @@ def _format_process_list( else: number_list = self._number_list + if len(number_list) == 0: + msg = "Empty number list" + msg = f"{msg}. Class variable self._number_list is None" + msg = f"{msg}. And memory map {memory_map} is empty." + raise ValueError(msg) + process_list = [] for number in number_list: From c30f292e4b450b9470459714e2b663948ea1e39c Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Tue, 26 Nov 2024 19:12:14 +0000 Subject: [PATCH 141/217] Fixed error msg --- shapepipe/pipeline/file_io.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/shapepipe/pipeline/file_io.py b/shapepipe/pipeline/file_io.py index ffe8bed82..af7cc7e2f 100644 --- a/shapepipe/pipeline/file_io.py +++ b/shapepipe/pipeline/file_io.py @@ -685,8 +685,9 @@ def save_as_fits( Save data from dict, list, numpy.ndarray, numpy.recarray or astropy.io.fits.fitsrec.FITS_rec (data format in an astropy fits file) - When creating a new FITS to store BinTable data it create a PrimaryHDU. - When creating a new FITS to store Image there is no PrimaryHDU. + When writing a new FITS file to store BinTable data a PrimaryHDU is + created. + When wwriting a new FITS to store Image data, no PrimaryHDU is added. You can create a SExtractor format FITS by specifying a SExtractor catalogue from where data come from. From 6daa778ba909906d12bf081626455230a487c673 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Thu, 28 Nov 2024 15:32:56 +0000 Subject: [PATCH 142/217] ngmix: check existing dir to append cat; batch save. Note that with and witout batch save random numbers are assigned differently to galaxies --- shapepipe/modules/ngmix_package/ngmix.py | 186 ++++++++++++++++++++--- shapepipe/modules/ngmix_runner.py | 21 +++ 2 files changed, 187 insertions(+), 20 deletions(-) diff --git a/shapepipe/modules/ngmix_package/ngmix.py b/shapepipe/modules/ngmix_package/ngmix.py index c763d4d99..001c76e25 100644 --- a/shapepipe/modules/ngmix_package/ngmix.py +++ b/shapepipe/modules/ngmix_package/ngmix.py @@ -7,10 +7,12 @@ """ import re +import os import galsim import ngmix import numpy as np +from shutil import copyfile from astropy.io import fits from modopt.math.stats import sigma_mad from ngmix.fitting import LMSimple @@ -42,6 +44,11 @@ class Ngmix(object): Path to merged single-exposure single-HDU headers w_log : logging.Logger Logging instance + check_existing_dir : str, optional + Directory or previous run, default is ``None`` + save_batch : int, optional + Save output catalogue in batches of this size; detaul is ``-1`` (no + batch save) id_obj_min : int, optional First galaxy ID to process, not used if the value is set to ``-1``; the default is ``-1`` @@ -65,6 +72,8 @@ def __init__( pixel_scale, f_wcs_path, w_log, + check_existing_dir=None, + save_batch=-1, id_obj_min=-1, id_obj_max=-1, ): @@ -89,6 +98,9 @@ def __init__( self._pixel_scale = pixel_scale self._f_wcs_path = f_wcs_path + + self._check_existing_dir = check_existing_dir + self._save_batch = save_batch self._id_obj_min = id_obj_min self._id_obj_max = id_obj_max @@ -295,7 +307,72 @@ def compile_results(self, results): return output_dict - def save_results(self, output_dict, f_out=None): + def get_output_path(self, directory): + """Get Output Path. + + Return path of output ngmix catalogue file. + + Parameters + ---------- + directoy: str + directory name + + Returns + ------- + str + output path + + """ + return f"{directory}/ngmix{self._file_number_string}.fits" + + + def get_last_id(self, cat_path): + """Get Last ID. + + Return ID of last projessed objects found in input catalogue file. + + Parameters + ---------- + cat_path: str + input catalogue file path + + Returns + -------- + int + object ID + + """ + cat = file_io.FITSCatalogue( + cat_path, + SEx_catalogue=True, + open_mode=file_io.BaseCatalogue.OpenMode.ReadOnly, + ) + cat.open() + + if len(cat._cat_data) != 6: + raise IndexError( + f"Found {len(cat._cat_data)} HDUs instead of 6 in catalogue" + + f" {cat_path}" + ) + + ids = cat._cat_data[1].data["id"] + + # No object foun + if len(ids) == 0: + return -1 + + id_last = ids[-1] + for hdu_no in range(2, 6): + if id_last != cat._cat_data[hdu_no].data["id"][-1]: + raise ValueError( + "Last ID {cat._cat_data[hdu_no].data['id'][-1]} in HDU" + + f" #{hdu_no} inconsistent with {id_las}" + ) + + return id_last + + + def save_results(self, output_dict): """Save Results. Save the results into a FITS file. @@ -304,8 +381,6 @@ def save_results(self, output_dict, f_out=None): ---------- output_dict: dict Dictionary containing the results - f_out: file handler, optional - Output file handler; if ``Null`` (default), open in write mode """ n_hdu = len(output_dict.keys()) @@ -315,17 +390,64 @@ def save_results(self, output_dict, f_out=None): + " expected are 5" ) - if f_out is None: - output_name = ( - f"{self._output_dir}/ngmix{self._file_number_string}.fits" - ) + output_name = self.get_output_path(self._output_dir) + if not os.path.exists(output_name): f_out = file_io.FITSCatalogue( output_name, open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite ) - for key in output_dict.keys(): - f_out.save_as_fits(output_dict[key], ext_name=key.upper()) + for key in output_dict.keys(): + f_out.save_as_fits(output_dict[key], ext_name=key.upper()) + return + + with fits.open(output_name, mode='update') as hdul: + + # Iterate through HDUs (assuming they are Binary Table HDUs with data) + for idx, hdu in enumerate(hdul): + if isinstance(hdu, fits.BinTableHDU): # Check for table data + + # HDU extension name + ext_name = hdu.name.lower() + if ext_name not in output_dict: + raise ValueError( + "HDU extension {ext_name} from existing FITS file" + + f" not found in data" + ) + + # Existing data + existing_data = hdu.data + existing_dtype = hdu.data.dtype + + # New data + new_data = output_dict[ext_name] + + # Verify that all column names in existing_data exist + # in new_data_dict + if not all( + colname in new_data + for colname in existing_dtype.names + ): + print("output_dict", [col for col in new_data]) + print("existing_da", existing_data.dtype.names) + raise ValueError( + "Mismatch between existing columns and new data columns." + ) + + # New data to be appended + structured_data = np.zeros( + len(next(iter(new_data.values()))), + dtype=existing_data.dtype, + ) + for colname in existing_data.dtype.names: + structured_data[colname] = new_data[colname] - return f_out + # Combine existing and new data + updated_data = np.append(existing_data, structured_data) + + # Update the data in the HDU + hdu.data = updated_data + + # Save changes to the FITS file + hdul.flush() @classmethod def check_key(self, expccd_name_tmp, vign_cat, vignet_path): @@ -371,24 +493,48 @@ def process(self): count = 0 id_first = -1 id_last = -1 - save_batch = 1000 + saved_batch_cumul = 0 count_batch = 0 - f_out = None - if save_batch > 0: - self._w_log.info(f"Batch save mode, save every {save_batch} objectsa") + if self._save_batch > 0: + self._w_log.info( + f"Batch save mode, save every {self._save_batch} objectsa" + ) else: self._w_log.info(f"No batch mode") - self._w_log.info(f"Processing objects # {self._id_obj_min} ... {self._id_obj_max}") + id_last = -1 + if self._check_existing_dir: + output_path_prev = self.get_output_path(self._check_existing_dir) + output_name_new = self.get_output_path(self._output_dir) + if os.path.exists(output_path_prev): + self._w_log.info( + f"Copy previous cat {output_path_prev} to {output_name_new}" + ) + copyfile(output_path_prev, output_name_new) + id_last = self.get_last_id(output_name_new) + else: + self._w_log.info( + f"No previous cat found in {self._check_existing_dir}," + + " starting from scratch" + ) + + self._w_log.info( + f"Processing objects # {self._id_obj_min} ... {self._id_obj_max}" + ) for i_tile, id_tmp in enumerate(obj_id): + # Continue if ID outside range of predefined IDs (in config file) if self._id_obj_min > 0 and id_tmp < self._id_obj_min: continue if self._id_obj_max > 0 and id_tmp > self._id_obj_max: continue + # Continue if ID before last ID from previous run + if id_last > 0 and id_tmp < id_last: + continue + if id_first == -1: id_first = id_tmp id_last = id_tmp @@ -514,19 +660,19 @@ def process(self): res["n_epoch_model"] = len(gal_vign) final_res.append(res) - if count_batch == save_batch: + if count_batch == self._save_batch: # Put batch results together res_dict = self.compile_results(final_res) # Save batch to disk - f_out = self.save_results(res_dict, f_out) + self.save_results(res_dict) saved_batch_cumul += count_batch self._w_log.info( - f"Batch-saved {count_batch} ({len(res_dict}) objects to" - + f" file, cumul={save_batch_cumul}" + f"Batch-saved {count_batch} ({len(res_dict)} valid) objects to" + + f" file, cumul={saved_batch_cumul}" ) # Reset for next batch @@ -552,7 +698,7 @@ def process(self): self.save_results(res_dict) self._w_log.info( - f"Saved {count} ({len(res_dict}) objects to file" + f"Saved {count} ({len(res_dict)}) objects to file" ) diff --git a/shapepipe/modules/ngmix_runner.py b/shapepipe/modules/ngmix_runner.py index 9c2c5ca08..fbdc533c7 100644 --- a/shapepipe/modules/ngmix_runner.py +++ b/shapepipe/modules/ngmix_runner.py @@ -48,6 +48,25 @@ def ngmix_runner( # Path to merged single-exposure single-HDU headers f_wcs_path = config.getexpanded(module_config_sec, "LOG_WCS") + # Input directory to check for already retrieved files + if config.has_option(module_config_sec, "CHECK_EXISTING_DIR"): + check_existing_dir = config.getexpanded( + module_config_sec, + "CHECK_EXISTING_DIR", + ) + else: + check_existing_dir = None + + # Batch save option + if config.has_option(module_config_sec, "SAVE_BATCH"): + save_batch = config.getint( + module_config_sec, + "SAVE_BATCH", + ) + else: + # No batch saving + save_batch = -1 + # First and last galaxy ID to process id_obj_min = config.getint(module_config_sec, "ID_OBJ_MIN") id_obj_max = config.getint(module_config_sec, "ID_OBJ_MAX") @@ -61,6 +80,8 @@ def ngmix_runner( pixel_scale, f_wcs_path, w_log, + check_existing_dir=check_existing_dir, + save_batch=save_batch, id_obj_min=id_obj_min, id_obj_max=id_obj_max, ) From 0ac999842b07812a0102588cb4a29bb102da02a4 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Thu, 28 Nov 2024 15:48:58 +0000 Subject: [PATCH 143/217] use batch save ngmix cfg --- scripts/sh/job_sp_canfar.bash | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/scripts/sh/job_sp_canfar.bash b/scripts/sh/job_sp_canfar.bash index 3d31e245c..43b583525 100755 --- a/scripts/sh/job_sp_canfar.bash +++ b/scripts/sh/job_sp_canfar.bash @@ -480,7 +480,7 @@ if [[ $do_job != 0 ]]; then n_max=$((nsh_step - 1)) for k in $(seq 1 $nsh_jobs); do - cat $SP_CONFIG/config_tile_Ng_template.ini | \ + cat $SP_CONFIG/config_tile_Ng_template_batch.ini | \ perl -ane \ 's/(ID_OBJ_MIN =) X/$1 '$n_min'/; s/(ID_OBJ_MAX =) X/$1 '$n_max'/; s/NgXu/Ng'$k'u/; s/X_interp/'$psf'_interp/g; print' \ > $SP_CONFIG_MOD/config_tile_Ng${k}u.ini From 0f516fdbd82ef26358e1f96dcbd976ca4ddeb6e4 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Thu, 28 Nov 2024 15:49:33 +0000 Subject: [PATCH 144/217] -f --fix option in init script --- scripts/sh/init_run_exclusive_canfar.sh | 106 ++++++++++++++++++++++-- 1 file changed, 101 insertions(+), 5 deletions(-) diff --git a/scripts/sh/init_run_exclusive_canfar.sh b/scripts/sh/init_run_exclusive_canfar.sh index bc0275ced..2da014e63 100755 --- a/scripts/sh/init_run_exclusive_canfar.sh +++ b/scripts/sh/init_run_exclusive_canfar.sh @@ -10,7 +10,10 @@ N_SMP=1 dry_run=0 dir=`pwd` debug_out=-1 -scratch=/scratch/`whoami` +scratch=-1 +fix=0 +# On canfar: +#scratch=/scratch/`whoami` # mh_local is 0 (1) if merge_header_runner is run on all exposures, # which is standard so far (run on exposures of given tile only; new) @@ -41,6 +44,10 @@ usage="Usage: $(basename "$0") -j JOB -e ID -k KIND [OPTIONS] \tnumber of jobs (SMP mode only), default from original config files\n -d, --directory\n \trun directory, default is pwd ($dir)\n + -S, --scratch\n + \tprocessing scratch directory, default is None ($scratch)\n + -f, --fix\n + \tfix missing data (re-download tile, unzip)\ -n, --dry_run\n \tdry run, no actuall processing\n --debug_out PATH\n @@ -88,9 +95,16 @@ while [ $# -gt 0 ]; do dir="$2" shift ;; + -S|--scratch) + scratch="$2" + shift + ;; -n|--dry_run) dry_run=1 ;; + -f|--fix) + fix=1 + ;; --debug_out) debug_out="$2" shift @@ -125,6 +139,15 @@ if [ "$sp_local" != "0" ] && [ "$sp_local" != "1" ]; then exit 6 fi +if [ "$patch" != "P8" ] && [ "$sp_local" == "1" ]; then + echo "sp_local=1 only used for patch P8" + exit 7 +fi +if [ "$patch" != "P8" ] && [ "$mh_local" == "1" ]; then + echo "mh_local=1 only used for patch P8" + exit 8 +fi + # Start script @@ -211,6 +234,56 @@ if [ ! -d ${kind}_runs ]; then command "mkdir ${kind}_runs" $dry_run fi +if [ "$fix" == "1" ]; then + echo "Fixing missing data" + + echo "Download tile images" + cd data_tiles + file_name=CFIS.$ID.r.fits + if [ ! -e $file_name ]; then + echo "Downloading $file_name" + vcp vos:cfis/tiles_DR5/$file_name . + else + echo "File $file_name exists, skipping" + fi + file_name=CFIS.$ID.r.weight.fits.fz + if [ ! -e $file_name ]; then + echo "Downloading $file_name" + vcp vos:cfis/tiles_DR5/$file_name . + else + echo "File $file_name exists, skipping" + fi + cd .. + + echo "link to tiles" + cd output/run_sp_GitFeGie_202*/get_images_runner_run_1/output + IDt=`echo $ID | tr "." "-"` + path_tiles=/arc/home/kilbinger/cosmostat/v2/pre_v2/$psf/$patch/data_tiles + link_name=CFIS_image-$IDt.fits + if [ ! -e $link_name ]; then + echo "Creating link $link_name" + ln -s $path_tiles/CFIS.$ID.r.fits $link_name + else + echo "Link $link_name exists, skipping" + fi + + link_name=CFIS_weight-$IDt.fitsfz + if [ ! -e $link_name ]; then + echo "Creating link $link_name" + ln -s $path_tiles/CFIS.$ID.r.weight.fits.fz $link_name + else + echo "Link $link_name exists, skipping" + fi + + echo "Unzip weight" + cd ../../../.. + cd tile_runs/$ID + export SP_RUN=`pwd` + shapepipe_run -c cfis/config_tile_Uz.ini -e $ID + + cd $dir +fi + cd ${kind}_runs @@ -241,8 +314,9 @@ if [ "$mh_local" == "0" ]; then fi -# Update links to global run directories (GiFeGie, Uz) -for my_dir in $dir/output/run_sp_[GU]*; do +# Update links to global run directories (GiFeGie) +# New: 27/11/2024: Remove link to Uz, conflict with fix +for my_dir in $dir/output/run_sp_[G]*; do command "ln -sf $my_dir" $dry_run done @@ -301,8 +375,6 @@ if [ $do_job != 0 ] && [ "$sp_local" == "1" ]; then fi command "update_runs_log_file.py" $dry_run export SP_RUN=`pwd` - - command "shapepipe_run -c cfis/config_exp_Sp.ini -e $exp_ID" $dry_run # Only keep CCD of this ID @@ -436,8 +508,32 @@ echo $CONDA_PREFIX # To avoid (new?) qt error with setools (-j 32) export DISPLAY=:1.0 + +if [ "$scratch" != "-1" ]; then + # Copy inputs to scratch + command "mkdir -p $scratch/${kind}_runs" $dry_run + command "cp -R ${kind}_runs/$ID $scratch/${kind}_runs" $dry_run + command "cd $scratch" $dry_run +fi + command "job_sp_canfar.bash -p psfex -j $job -e $ID --n_smp $N_SMP --nsh_jobs $N_SMP --debug_out $debug_out" $dry_run +if [ "$scratch" != "-1" ]; then + if [ "$job" == "32" ]; then + command "mv ${kind}_runs/$ID/output/run_sp_exp_SxSe* $dir/${kind}_runs/$ID/output" $dry_run + elif [ "$job" == "64" ]; then + command "mv ${kind}_runs/$ID/output/run_sp_tile_PsViSm** $dir/${kind}_runs/$ID/output" $dry_run + else + echo "scratch mode with job=$job not implemented yet, exiting..." + exit 8 + fi + + command "rm -rf ${kind}_runs/$ID" $dry_run + command "cd $dir/${kind}_runs/$ID" $dry_run + command "update_runs_log_file.py" $dry_run + command "cd $dir" $dry_run +fi + cd $dir msg="End $(basename "$0")" From cc62ab67680bafda2f5c40239efedc308bff6028 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Thu, 28 Nov 2024 15:50:30 +0000 Subject: [PATCH 145/217] added checks for corrupt input files --- example/cfis/config_tile_Uz.ini | 5 ++--- scripts/python/link_to_exp_for_tile.py | 2 +- shapepipe/modules/mask_package/mask.py | 2 +- .../modules/psfex_interp_package/psfex_interp.py | 15 +++++++++++++-- 4 files changed, 17 insertions(+), 7 deletions(-) diff --git a/example/cfis/config_tile_Uz.ini b/example/cfis/config_tile_Uz.ini index 8ff0a0737..d501b36ff 100644 --- a/example/cfis/config_tile_Uz.ini +++ b/example/cfis/config_tile_Uz.ini @@ -53,9 +53,8 @@ TIMEOUT = 96:00:00 ## Module options [UNCOMPRESS_FITS_RUNNER] -#INPUT_DIR = last:get_images_runner_run_1 -INPUT_DIR = last:get_images_runner -#INPUT_MODULE = get_images_runner_run_1 +INPUT_DIR = last:get_images_runner_run_1 +#INPUT_DIR = last:get_images_runner FILE_PATTERN = CFIS_weight diff --git a/scripts/python/link_to_exp_for_tile.py b/scripts/python/link_to_exp_for_tile.py index 069121740..35bc64ec7 100755 --- a/scripts/python/link_to_exp_for_tile.py +++ b/scripts/python/link_to_exp_for_tile.py @@ -257,7 +257,7 @@ def get_paths(exp_base_dir, exp_shdu_IDs, pattern): f"Exactly one directory matching {pattern} in {path} expected," + f" not {n_subdirs}" ) - print(msg) + #print(msg) # More than one match: sort according to name = creation time subdirs = sorted(subdirs) if n_subdirs == 0: diff --git a/shapepipe/modules/mask_package/mask.py b/shapepipe/modules/mask_package/mask.py index cd78538d0..6f541bd68 100644 --- a/shapepipe/modules/mask_package/mask.py +++ b/shapepipe/modules/mask_package/mask.py @@ -1191,7 +1191,7 @@ def _build_final_mask( try: ext_flag = external_flag.get_data() except: - print( + self._w_log.info( "Problem while getting external flag data. Check" + f" whether file {path_external_flag} is not corrupt" ) diff --git a/shapepipe/modules/psfex_interp_package/psfex_interp.py b/shapepipe/modules/psfex_interp_package/psfex_interp.py index 817a41d01..367bb713f 100644 --- a/shapepipe/modules/psfex_interp_package/psfex_interp.py +++ b/shapepipe/modules/psfex_interp_package/psfex_interp.py @@ -600,8 +600,19 @@ def _interpolate_me(self): final_list = [] for hdu_index in hdu_ind: - data = cat.get_data(hdu_index) - self._w_log.info(data) + # MKDEBUG: The following should be done within file_io, or better + # yet use astropy.io.fits + # Instead, file_io raises unusable error message. + try: + data = cat.get_data(hdu_index) + except: + msg = ( + f"Error while rading file {self._galcat_path} at HDU " + + f" {hdu_index}. File might have been truncated." + ) + print(msg) + self._w_log.info(msg) + raise # Read exposure name. Since each input HDU corresponds to one # exposure, they are identical in each colum. From d6f069b559489e7c37b56a9d65f3d849e22a412f Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Thu, 28 Nov 2024 15:51:11 +0000 Subject: [PATCH 146/217] simple scripts added to remove previous duplicate runs --- scripts/sh/remove_duplicates.sh | 17 +++++++++++++++++ scripts/sh/remove_duplicates_tiles.sh | 16 ++++++++++++++++ 2 files changed, 33 insertions(+) create mode 100644 scripts/sh/remove_duplicates.sh create mode 100644 scripts/sh/remove_duplicates_tiles.sh diff --git a/scripts/sh/remove_duplicates.sh b/scripts/sh/remove_duplicates.sh new file mode 100644 index 000000000..02b45985f --- /dev/null +++ b/scripts/sh/remove_duplicates.sh @@ -0,0 +1,17 @@ +#!/usr/bin/env bash + +count=0 +for dir in exp_runs/*; do + if compgen -G "$dir/output/run_sp_exp_Sx*" > /dev/null; then + n=`ls -rdtl $dir/output/run_sp_exp_Sx* | wc -l` + #echo $dir $n $count + if [ "$n" == "2" ]; then + n_remove=$((n-1)) + rm -rf `ls -rdt1 $dir/output/run_sp_exp_Sx* | head -n $n_remove` + echo rm -rf `ls -rdt1 $dir/output/run_sp_exp_Sx* | head -n $n_remove` + count=$((count+1)) + fi + fi +done + +echo $count diff --git a/scripts/sh/remove_duplicates_tiles.sh b/scripts/sh/remove_duplicates_tiles.sh new file mode 100644 index 000000000..2c7748238 --- /dev/null +++ b/scripts/sh/remove_duplicates_tiles.sh @@ -0,0 +1,16 @@ +#!/usr/bin/env bash + +count=0 +for dir in tile_runs/*; do + if compgen -G "$dir/output//run_sp_tile_PsViSmVi*" > /dev/null; then + n=`ls -rdtl $dir/output/run_sp_tile_PsViSmVi* | wc -l` + if [ "$n" != "2" ]; then + ((n_remove=n-1)) + echo $dir $n $n_remove + rm -rf `ls -rdt1 $dir/output/run_sp_tile_PsViSmVi* | head -n $n_remove` + (count=(count+1)) + fi + fi +done + +echo $count From 6899860cb70d22e7507c7cf0a358f9bd2469674c Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Thu, 28 Nov 2024 15:51:30 +0000 Subject: [PATCH 147/217] ngmix batch save cfg --- .../cfis/config_tile_Ng_template_batch.ini | 84 +++++++++++++++++++ 1 file changed, 84 insertions(+) create mode 100644 example/cfis/config_tile_Ng_template_batch.ini diff --git a/example/cfis/config_tile_Ng_template_batch.ini b/example/cfis/config_tile_Ng_template_batch.ini new file mode 100644 index 000000000..bc48b0b1b --- /dev/null +++ b/example/cfis/config_tile_Ng_template_batch.ini @@ -0,0 +1,84 @@ +# ShapePipe configuration file for tiles: ngmix + KSB + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = True + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_tile_ngmix_NgXu + +# Add date and time to RUN_NAME, optional, default: False +RUN_DATETIME = False + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = ngmix_runner + +# Parallel processing mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names +INPUT_DIR = . + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 1 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options + +# Model-fitting shapes with ngmix +[NGMIX_RUNNER] + +INPUT_DIR = run_sp_tile_Sx:sextractor_runner,last:X_interp_runner,last:vignetmaker_runner_run_2 + +FILE_PATTERN = sexcat, image_vignet, background_vignet, galaxy_psf, weight_vignet, flag_vignet + +FILE_EXT = .fits, .sqlite, .sqlite, .sqlite, .sqlite, .sqlite + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -000-000 + +# Multi-epoch mode: Path to file with single-exposure WCS header information +LOG_WCS = $SP_RUN/output/log_exp_headers.sqlite + +# Directory of previous run, optional. +CHECK_EXISTING_DIR = $SP_RUN/output/run_sp_tile_ngmix_Ng1u_prev/ngmix_runner/output + +# Number of objects to batch save during processing, optional. Omit or set +# to -1 for no batch saving +SAVE_BATCH = 1000 + +# Magnitude zero-point +MAG_ZP = 30.0 + +# Pixel scale in arcsec +PIXEL_SCALE = 0.186 + +ID_OBJ_MIN = X +ID_OBJ_MAX = X From 21f5fb36f2259d2c80d3486c00603f8f19c470d9 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 29 Nov 2024 09:41:28 +0000 Subject: [PATCH 148/217] curl and init scripts: improved debug output --- scripts/sh/curl_canfar_local.sh | 1 + scripts/sh/functions.sh | 8 ++++---- scripts/sh/init_run_exclusive_canfar.sh | 5 +++-- scripts/sh/stats_jobs_canfar.sh | 1 + 4 files changed, 9 insertions(+), 6 deletions(-) diff --git a/scripts/sh/curl_canfar_local.sh b/scripts/sh/curl_canfar_local.sh index 4c919c624..df3ab461d 100755 --- a/scripts/sh/curl_canfar_local.sh +++ b/scripts/sh/curl_canfar_local.sh @@ -130,6 +130,7 @@ fi if [ "$debug_out" != "-1" ]; then echo "${pat}Starting $(basename "$0")" >> $debug_out + echo "{$pat}curl ID=$ID" >> $debug_out echo $pat`date`$ >> $debug_out fi diff --git a/scripts/sh/functions.sh b/scripts/sh/functions.sh index 698a8e007..877f0e350 100644 --- a/scripts/sh/functions.sh +++ b/scripts/sh/functions.sh @@ -39,10 +39,10 @@ function call_curl() { cmd=("curl" "-E" "$SSL" "$SESSION?$RESOURCES" "-d" "image=$IMAGE:$version" "-d" "name=${my_name}" "-d" "cmd=$cmd_remote" "--data-urlencode" "args=\"${my_arg}\"") - #if [ "$debug_out" != "-1" ]; then - #echo "${pat}call_curl $my_name $my_arg" >> $debug_out - #echo "${pat}Running ${cmd[@]} (dry_run=$dry_run)" >> $debug_out - #fi + if [ "$debug_out" != "-1" ]; then + echo "${pat}call_curl $my_name $my_arg" >> $debug_out + echo "${pat}Running ${cmd[@]} (dry_run=$dry_run)" >> $debug_out + fi echo "${cmd[@]} (dry_run=$dry_run)" diff --git a/scripts/sh/init_run_exclusive_canfar.sh b/scripts/sh/init_run_exclusive_canfar.sh index 2da014e63..0f70967ac 100755 --- a/scripts/sh/init_run_exclusive_canfar.sh +++ b/scripts/sh/init_run_exclusive_canfar.sh @@ -151,14 +151,15 @@ fi # Start script -source $HOME/shapepipe/scripts/sh/functions.sh - +source $HOME/shapepipe/scripts/sh/functions.sh msg="Starting $(basename "$0")" echo $msg if [ "$debug_out" != "-1" ]; then echo $pat$msg >> $debug_out echo ${pat}`date` >> $debug_out + echo "${pat}init ID=$ID" >> $debug_out + fi # Set kind diff --git a/scripts/sh/stats_jobs_canfar.sh b/scripts/sh/stats_jobs_canfar.sh index 8db49fc5a..f9c51101a 100755 --- a/scripts/sh/stats_jobs_canfar.sh +++ b/scripts/sh/stats_jobs_canfar.sh @@ -67,6 +67,7 @@ esac # Get all instances if [ "$debug" == "1" ]; then curl -E $SSL $SESSION + echo curl -E $SSL $SESSION exit 0 else curl -E $SSL $SESSION &> /dev/null > $tmpfile_jobs From 28fcd365e9ea4b839ade2222185309c9ae61e68b Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Sun, 1 Dec 2024 16:47:33 +0000 Subject: [PATCH 149/217] improved Fix; get_number_objects; mh_local handling --- scripts/python/get_number_objects.py | 4 + scripts/sh/curl_canfar_local.sh | 16 +++- scripts/sh/functions.sh | 6 +- scripts/sh/init_run_exclusive_canfar.sh | 104 ++++++++++-------------- scripts/sh/job_sp_canfar.bash | 4 + 5 files changed, 68 insertions(+), 66 deletions(-) diff --git a/scripts/python/get_number_objects.py b/scripts/python/get_number_objects.py index a8043e727..98422457c 100755 --- a/scripts/python/get_number_objects.py +++ b/scripts/python/get_number_objects.py @@ -213,6 +213,10 @@ def main(argv=None): paths.append(path) paths = sorted(paths) + if len(paths) == 0: + # No previous tile SExtractor run found + return -1 + # Get latest run last_dir = paths[-1] diff --git a/scripts/sh/curl_canfar_local.sh b/scripts/sh/curl_canfar_local.sh index df3ab461d..f1ebe6d2d 100755 --- a/scripts/sh/curl_canfar_local.sh +++ b/scripts/sh/curl_canfar_local.sh @@ -18,6 +18,7 @@ psf="psfex" ID=-1 file_IDs=-1 N_SMP=1 +fix=0 version="1.1" cmd_remote="$HOME/shapepipe/scripts/sh/init_run_exclusive_canfar.sh" batch_max=200 @@ -40,8 +41,12 @@ usage="Usage: $(basename "$0") -j JOB -[e ID |-f file_IDs] -k KIND [OPTIONS] \tPSF model, one in ['psfex'|'mccd'], default='$psf'\n -m, --mh_local MH\n \tmerged header file local (MH=0) or global (MH=1); default is $mh_local\n + -s, --sp_local SP\n + \tsplit local run local (SP=1) or global (SP=0); default is SP=$sp_local\n -N, --N_SMP N_SMOp\n \tnumber of jobs (SMP mode only), default=$N_SMP\n + -F, --fix\n + \tfix missing data (re-download tile, unzip)\ -V, --version\n \tversion of docker image, default='$version'\n -C, --command_remote\n @@ -79,6 +84,10 @@ while [ $# -gt 0 ]; do mh_local="$2" shift ;; + -s|--sp_local) + sp_local="$2" + shift + ;; -e|--exclusive) ID="$2" shift @@ -91,6 +100,9 @@ while [ $# -gt 0 ]; do N_SMP="$2" shift ;; + -F|--fix) + fix=1 + ;; -b|--batch_max) batch_max="$2" shift @@ -130,8 +142,8 @@ fi if [ "$debug_out" != "-1" ]; then echo "${pat}Starting $(basename "$0")" >> $debug_out - echo "{$pat}curl ID=$ID" >> $debug_out - echo $pat`date`$ >> $debug_out + echo "${pat}curl ID=$ID" >> $debug_out + echo ${pat}`date` >> $debug_out fi . /opt/conda/etc/profile.d/conda.sh diff --git a/scripts/sh/functions.sh b/scripts/sh/functions.sh index 4da0416ac..0e9ddc90e 100644 --- a/scripts/sh/functions.sh +++ b/scripts/sh/functions.sh @@ -6,13 +6,13 @@ NAME=shapepipe version="1.1" cmd_remote="$HOME/shapepipe/scripts/sh/init_run_exclusive_canfar.sh" -pat="- " +pat="---- " STOP=0 # Return argument for local script to be called via curl function set_arg() { - my_arg="-j $job -p $psf -e $ID -N $N_SMP $arg_dry_run -d $dir -m $mh_local --debug_out $debug_out" + my_arg="-j $job -p $psf -e $ID -N $N_SMP $arg_dry_run -d $dir -m $mh_local -s $sp_local --debug_out $debug_out -F $fix" echo $my_arg } @@ -32,11 +32,9 @@ function call_curl() { if [ "$dry_run" == "0" ]; then - #my_session=`curl -E $SSL "$SESSION?$RESOURCES" -d "image=$IMAGE:$version" -d "name=${my_name}" -d "cmd=$cmd_remote" --data-urlencode "args=${my_arg[@]}" &> /dev/null` my_session=`curl -E $SSL "$SESSION?$RESOURCES" -d "image=$IMAGE:$version" -d "name=${my_name}" -d "cmd=$cmd_remote" --data-urlencode "args=${my_arg[@]}"` fi - cmd=("curl" "-E" "$SSL" "$SESSION?$RESOURCES" "-d" "image=$IMAGE:$version" "-d" "name=${my_name}" "-d" "cmd=$cmd_remote" "--data-urlencode" "args=\"${my_arg}\"") if [ "$debug_out" != "-1" ]; then diff --git a/scripts/sh/init_run_exclusive_canfar.sh b/scripts/sh/init_run_exclusive_canfar.sh index f1c88477f..f513a1eaa 100755 --- a/scripts/sh/init_run_exclusive_canfar.sh +++ b/scripts/sh/init_run_exclusive_canfar.sh @@ -21,7 +21,7 @@ mh_local=0 # sp_local is 0 (1) is split_headers_runner and mask_runner is run # on all exposures (locally). Not 100% automatic yet. -sp_local=1 +sp_local=0 VERBOSE=1 pat="-- " @@ -46,7 +46,7 @@ usage="Usage: $(basename "$0") -j JOB -e ID -k KIND [OPTIONS] \trun directory, default is pwd ($dir)\n -S, --scratch\n \tprocessing scratch directory, default is None ($scratch)\n - -f, --fix\n + -F, --fix\n \tfix missing data (re-download tile, unzip)\ -n, --dry_run\n \tdry run, no actuall processing\n @@ -79,10 +79,10 @@ while [ $# -gt 0 ]; do psf="$2" shift ;; - -m|--mh_local) - mh_local="$2" - shift - ;; + -m|--mh_local) + mh_local="$2" + shift + ;; -s|--sp_local) sp_local="$2" shift @@ -102,7 +102,7 @@ while [ $# -gt 0 ]; do -n|--dry_run) dry_run=1 ;; - -f|--fix) + -F|--fix) fix=1 ;; --debug_out) @@ -143,10 +143,10 @@ if [ "$patch" != "P8" ] && [ "$sp_local" == "1" ]; then echo "sp_local=1 only used for patch P8" exit 7 fi -if [ "$patch" != "P8" ] && [ "$mh_local" == "1" ]; then - echo "mh_local=1 only used for patch P8" - exit 8 -fi +#if [ "$patch" != "P8" ] && [ "$mh_local" == "1" ]; then + #echo "mh_local=1 only used for patch P8" + #exit 8 +#fi # Start script @@ -156,7 +156,7 @@ source $HOME/shapepipe/scripts/sh/functions.sh msg="Starting $(basename "$0")" echo $msg if [ "$debug_out" != "-1" ]; then - echo $pat$msg >> $debug_out + echo ${pat}$msg >> $debug_out echo ${pat}`date` >> $debug_out echo "${pat}init ID=$ID" >> $debug_out @@ -218,7 +218,8 @@ if [ "$fix" == "1" ]; then link_name=CFIS_image-$IDt.fits if [ ! -e $link_name ]; then echo "Creating link $link_name" - ln -s $path_tiles/CFIS.$ID.r.fits $link_name + # force to overwrite broken link + ln -sf $path_tiles/CFIS.$ID.r.fits $link_name else echo "Link $link_name exists, skipping" fi @@ -226,13 +227,14 @@ if [ "$fix" == "1" ]; then link_name=CFIS_weight-$IDt.fitsfz if [ ! -e $link_name ]; then echo "Creating link $link_name" - ln -s $path_tiles/CFIS.$ID.r.weight.fits.fz $link_name + ln -sf $path_tiles/CFIS.$ID.r.weight.fits.fz $link_name else echo "Link $link_name exists, skipping" fi - echo "Unzip weight" cd ../../../.. + + echo "Unzip weight" cd tile_runs/$ID export SP_RUN=`pwd` shapepipe_run -c cfis/config_tile_Uz.ini -e $ID @@ -355,50 +357,6 @@ if [ $do_job != 0 ] && [ "$sp_local" == "1" ]; then job=$(( job & ~2 )) fi -if [ "$mh_local" == "1" ]; then - - # Remove previous Sx runs - command "rm -rf run_sp_tile_Sx_*" $dry_run - - if [ "$ID" == "-1" ]; then - echo "ID needs to be given (option -e) for mh_local and job&16" - exit 6 - fi - - if [ -L log_exp_headers.sqlite ]; then - # Local Mh and symlink -> remove previous link to - # (potentially incomplete) global mh file - echo "Removing previous mh sym link" - command "rm log_exp_headers.sqlite" $dry_run - else - echo "no mh link found" - fi - - echo "Creating local mh file" - - ## Remove previous (local) split_exp dir - #command "rm -rf run_sp_exp_Sp" $dry_run - - ## Create new split exp run dir - #new_dir="run_sp_exp_Sp//split_exp_runner/output" - #command "mkdir -p $new_dir" $dry_run - - ## Link to all header files of exposures used for the current tile - #IDs=`echo $ID | tr "." "-"` - #for exp_ID in `cat run_sp_GitFeGie_*/find_exposures_runner/output/exp_numbers-$IDs.txt` ; do - #x=`echo $exp_ID | tr -d p ` - #command "ln -s $dir/output/run_sp_exp_SpMh/split_exp_runner/output/headers-$x.npy $new_dir/headers-$x.npy" $dry_run - #done - - # Run merge_headers_runner on local exposure selection - cd .. - command "update_runs_log_file.py" $dry_run - export SP_RUN=`pwd` - command "shapepipe_run -c cfis/config_exp_Mh.ini" $dry_run - cd output - -fi - (( do_job = $job & 8 )) if [ $do_job != 0 ] && [ "$sp_local" == "1" ]; then # Remove previous local Ma runs @@ -410,6 +368,32 @@ fi if [[ $do_job != 0 ]]; then # Remove previous Sx runs command "rm -rf run_sp_tile_Sx_*" $dry_run + + if [ "$mh_local" == "1" ]; then + + if [ "$ID" == "-1" ]; then + echo "ID needs to be given (option -e) for mh_local and job&16" + exit 6 + fi + + if [ -L log_exp_headers.sqlite ]; then + # Local Mh and symlink -> remove previous link to + # (potentially incomplete) global mh file + echo "Removing previous mh sym link" + command "rm log_exp_headers.sqlite" $dry_run + else + echo "no mh link found" + fi + + echo "Creating local mh file" + + cd .. + command "update_runs_log_file.py" $dry_run + export SP_RUN=`pwd` + command "shapepipe_run -c cfis/config_exp_Mh.ini" $dry_run + cd output + fi + fi # Update links to exposure run directories, which were created in job 32 @@ -472,7 +456,7 @@ if [ "$scratch" != "-1" ]; then command "cd $scratch" $dry_run fi -command "job_sp_canfar.bash -p psfex -j $job -e $ID --n_smp $N_SMP --nsh_jobs $N_SMP --debug_out $debug_out" $dry_run +command "job_sp_canfar.bash -p psfex -j $job -e $ID --n_smp $N_SMP --nsh_jobs $N_SMP --debug_out $debug_out " $dry_run if [ "$scratch" != "-1" ]; then if [ "$job" == "32" ]; then diff --git a/scripts/sh/job_sp_canfar.bash b/scripts/sh/job_sp_canfar.bash index 43b583525..10522a3d8 100755 --- a/scripts/sh/job_sp_canfar.bash +++ b/scripts/sh/job_sp_canfar.bash @@ -476,6 +476,10 @@ if [[ $do_job != 0 ]]; then ### Prepare config files n_min=0 n_obj=`get_number_objects` + if [ "$n_obj" == "-1" ]; then + echo "No tile SExtractor run found, exiting after et_number_objects call" + exit 10 + fi nsh_step=`echo "$(($n_obj/$nsh_jobs))"` n_max=$((nsh_step - 1)) From 91f226a0323fa18215e6e0159fe2e19e7f8c52da Mon Sep 17 00:00:00 2001 From: Cail Daley Date: Thu, 5 Dec 2024 17:54:29 +0100 Subject: [PATCH 150/217] switch to PC sextractor package name --- Dockerfile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Dockerfile b/Dockerfile index ab5045272..0747a8ef9 100644 --- a/Dockerfile +++ b/Dockerfile @@ -37,7 +37,7 @@ RUN apt-get update -y --quiet --fix-missing && \ pkg-config \ protobuf-compiler \ psfex=3.21.1-1 \ - sextractor=2.25.0+ds-3 \ + source-extractor=2.25.0+ds-3 \ weightwatcher=1.12+dfsg-3 \ vim \ xterm && \ From 9c96ef61930762663f53aacfa858800ea8bebff9 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 6 Dec 2024 09:32:44 +0000 Subject: [PATCH 151/217] link to exp script: added shdu option -s --- scripts/python/link_to_exp_for_tile.py | 17 ++++++++++++++--- 1 file changed, 14 insertions(+), 3 deletions(-) diff --git a/scripts/python/link_to_exp_for_tile.py b/scripts/python/link_to_exp_for_tile.py index 35bc64ec7..2f44d29cf 100755 --- a/scripts/python/link_to_exp_for_tile.py +++ b/scripts/python/link_to_exp_for_tile.py @@ -46,6 +46,7 @@ class param p_def = param( tile_base_dir=".", exp_base_dir=".", + sp_local=0, ) return p_def @@ -95,6 +96,14 @@ def parse_options(p_def): default=p_def.exp_base_dir, help=f"input exposure base directory, default='{p_def.exp_base_dir}'", ) + parser.add_option( + "-s", + "--sp_local", + dest="sp_local", + type="int", + default=p_def.sp_local, + help=f"local runi of split_exposure_runner, default='{p_def.sp_local}'", + ) parser.add_option( "-v", "--verbose", @@ -282,9 +291,9 @@ def create_links_paths(tile_base_dir, tile_ID, paths, verbose=False): src_existing = os.readlink(dst) if src_existing == src: if verbose: - # print("link {src} <- {dst}") - f"Warning: {src} <- {dst} already exists, no link created" - # ) + print( + f"Warning: {src} <- {dst} already exists, no link created" + ) continue else: idx = 1 @@ -328,6 +337,8 @@ def main(argv=None): # Note: psfex P3 is mostly run_sp_exp_SxSePsf patterns = ["run_sp_exp_SxSePsfPi"] # , "run_sp_exp_Pi"] + if param.sp_local == 1: + patterns.append("run_sp_exp_Sp_shdu") for pattern in patterns: paths, number = get_paths(exp_base_dir, exp_shdu_IDs, pattern) From c9deb4145f6d0c3497b13eec816fa0a8fabe1e2b Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 6 Dec 2024 09:33:38 +0000 Subject: [PATCH 152/217] summary: added ngmix special for incomplete cat --- scripts/python/summary_params_pre_v2.py | 10 ++++++++-- shapepipe/utilities/summary.py | 19 ++++++++++++++++--- 2 files changed, 24 insertions(+), 5 deletions(-) diff --git a/scripts/python/summary_params_pre_v2.py b/scripts/python/summary_params_pre_v2.py index c3d887479..9c59692c5 100644 --- a/scripts/python/summary_params_pre_v2.py +++ b/scripts/python/summary_params_pre_v2.py @@ -204,18 +204,24 @@ def set_jobs_v2_pre_v2(patch, verbose): else: n_sh = 8 run_dirs = [f"run_sp_tile_ngmix_Ng{idx+1}u" for idx in range(n_sh)] + + # Add special (unfinished run) + run_dirs.append("run_sp_tile_ngmix_Ng1u") + output_path_missing_IDs = [ f"{path_main}/summary/missing_job_128_ngmix_runner_{idx+1}.txt" - for idx in range(n_sh) + for idx in range(n_sh + 1) ] jobs["128"] = job_data( "128", run_dirs, - ["ngmix_runner"] * n_sh, + ["ngmix_runner"] * (n_sh + 1), "tile_IDs", path_main=path_main, path_left="tile_runs", output_subdirs=[f"{tile_ID}/output" for tile_ID in list_tile_IDs_dot], + path_output=["output"] * n_sh + ["logs"], + special=[False] * n_sh + [True], output_path_missing_IDs=output_path_missing_IDs, verbose=verbose, ) diff --git a/shapepipe/utilities/summary.py b/shapepipe/utilities/summary.py index f8ce6eae4..4082ed282 100755 --- a/shapepipe/utilities/summary.py +++ b/shapepipe/utilities/summary.py @@ -159,6 +159,8 @@ def set_as_list(item=None, n=None, default=1): def check_special_one(module, path): + ngmix_finished = False + with open(path) as f_in: lines = f_in.readlines() for line in lines: @@ -212,6 +214,17 @@ def check_special_one(module, path): msg = "No object detected (weight might be 0 everywhere)" return msg, code + if module == "ngmix_runner": + m = re.search("finished", line) + if m: + ngmix_finished = True + break + + if module == "ngmix_runner" and not ngmix_finished: + code = 6 + mgs = "ngmix incomplete" + return mgs, code + return None, None @@ -295,7 +308,7 @@ def __init__( len(modules), default="output", ) - self._output_path_missing_IDs=output_path_missing_IDs + self._output_path_missing_IDs = output_path_missing_IDs self._special = set_as_list( special, len(modules), @@ -446,7 +459,7 @@ def check_special(self, module, idx): messages = {} if self._special[idx]: - + # Loop over input file names and paths for name, path in zip(self._names_in_dir[idx], self._paths_in_dir[idx]): @@ -519,7 +532,7 @@ def output_missing( else: msg = f"No ID found in {name}" #raise ValueError(msg) - print(f"Warning: msg, continuing") + print(f"Warning: {msg}, continuing") # For split_exp_runner P8, IDs now contain exps and sdus, # not matching mult. From e190ebef503d3ae0afd1566da93167879f71dfd4 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 6 Dec 2024 09:34:26 +0000 Subject: [PATCH 153/217] combine runs script added shdu --- scripts/sh/combine_runs.bash | 17 ++++++++++++----- 1 file changed, 12 insertions(+), 5 deletions(-) diff --git a/scripts/sh/combine_runs.bash b/scripts/sh/combine_runs.bash index c264f3cbf..e02f85789 100755 --- a/scripts/sh/combine_runs.bash +++ b/scripts/sh/combine_runs.bash @@ -20,7 +20,7 @@ usage="Usage: $(basename "$0") [OPTIONS] \tPSF model, allowed are 'psfex', 'mccd', 'setools', default='$psf'\n -c, --cat TYPE\n \tCatalogue type, allowed are 'final', 'flag_tile', 'flag_exp', \n - \t'psf', 'psf_conv', 'image', default='$cat'\n + \t'psf', 'psf_conv', 'image', 'shdu', default='$cat'\n " ## Parse command line @@ -54,8 +54,9 @@ if [ "$cat" != "final" ] \ && [ "$cat" != "flag_exp" ] \ && [ "$cat" != "psf" ] \ && [ "$cat" != "psf_conv" ] \ - && [ "$cat" != "image" ]; then - echo "cat (option -c) needs to be 'final', 'tile_detection', 'flag_tile', 'flag_exp', 'psf', 'psf_conv' or 'image'" + && [ "$cat" != "image" ] \ + && [ "$cat" != "shdu" ]; then + echo "cat (option -c) needs to be 'final', 'tile_detection', 'flag_tile', 'flag_exp', 'psf', 'psf_conv', 'shdu', or 'image'" exit 2 fi @@ -168,6 +169,12 @@ elif [ "$cat" == "psf_conv" ]; then pattern="validation_psf_conv-*" module="psfex_interp_runner" +elif [ "$cat" == "shdu" ]; then + + run_in="$pwd/$out_base/run_sp_exp_Sp_shdu_*" + module="split_exp_runner" + pattern="headers-*" + else echo "Invalid catalogue type $cat" @@ -193,9 +200,9 @@ mkdir -p $outdir i=0 for dir in $run_in; do - FILES=(`find $dir -type f -name "$pattern" -print0 | xargs -0 echo`) + FILES=(`find -L $dir -type f -name "$pattern" -print0 | xargs -0 echo`) - echo "$dir $pattern" + #echo "$dir $pattern" ## Look over source files for file in ${FILES[@]}; do From 214ba37c062287f0e3c8012a7d0d3915093b9825 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 6 Dec 2024 09:35:33 +0000 Subject: [PATCH 154/217] canfar job scripts: fix, test options; better debug output --- scripts/sh/curl_canfar_local.sh | 58 ++--- scripts/sh/functions.sh | 43 ++-- scripts/sh/init_run_exclusive_canfar.sh | 292 +++++++++++++++--------- scripts/sh/run_scratch_local.sh | 2 +- 4 files changed, 240 insertions(+), 155 deletions(-) diff --git a/scripts/sh/curl_canfar_local.sh b/scripts/sh/curl_canfar_local.sh index f1ebe6d2d..0786d8e23 100755 --- a/scripts/sh/curl_canfar_local.sh +++ b/scripts/sh/curl_canfar_local.sh @@ -1,5 +1,3 @@ -#!/usr/bin/env bash - # Global variables SSL=~/.ssl/cadcproxy.pem SESSION=https://ws-uv.canfar.net/skaha/v0/session @@ -24,7 +22,10 @@ cmd_remote="$HOME/shapepipe/scripts/sh/init_run_exclusive_canfar.sh" batch_max=200 dry_run=0 mh_local=0 +sp_local=0 +test_only=0 debug_out="-1" +scratch="-1" pat="- " @@ -45,18 +46,22 @@ usage="Usage: $(basename "$0") -j JOB -[e ID |-f file_IDs] -k KIND [OPTIONS] \tsplit local run local (SP=1) or global (SP=0); default is SP=$sp_local\n -N, --N_SMP N_SMOp\n \tnumber of jobs (SMP mode only), default=$N_SMP\n - -F, --fix\n - \tfix missing data (re-download tile, unzip)\ + -F, --fix FIX\n + \tfix missing data (re-download tile, unzip) for FIX=1; default is $fix\ -V, --version\n \tversion of docker image, default='$version'\n -C, --command_remote\n \tremote command to run on canfar, default='$cmd_remote'\n + -S, --scratch\n + \tprocessing scratch directory, default is None ($scratch)\n -b, --batch_max\n \tmaximum batch size = number of jobs run simultaneously, default=$batch_max\n --debug_out PATH\n \tdebug output file PATH, default not used\n -n, --dry_run LEVEL\n - \tdry run, from LEVEL=2 (no processing) to 0 (full run)\n + \tdry run, from LEVEL=2 (no processing) to 0 (full run; default)\n + --test\n + \ttest mode, no processing\n " ## Help if no arguments @@ -101,7 +106,12 @@ while [ $# -gt 0 ]; do shift ;; -F|--fix) - fix=1 + fix="$2" + shift + ;; + -S|--scratch) + scratch="$2" + shift ;; -b|--batch_max) batch_max="$2" @@ -115,11 +125,22 @@ while [ $# -gt 0 ]; do dry_run="$2" shift ;; + --test) + test_only=1 + ;; esac shift done + ## Check options + +if [ "$test_only" == "1" ]; then + test_arg="--test" +else + test_arg="" +fi + if [ "$job" == "-1" ]; then echo "No job indicated, use option -j" exit 2 @@ -134,7 +155,7 @@ if [ "$psf" != "psfex" ] && [ "$psf" != "mccd" ]; then echo "PSF (option -p) needs to be 'psfex' or 'mccd'" exit 4 fi - + if [ "$dry_run" != 0 ] && [ "$dry_run" != 1 ] && [ "$dry_run" != 2 ]; then echo "Invalid dry_run option, allowed are 0, 1, and 2" exit 5 @@ -155,11 +176,6 @@ fi # command line arguments for remote script: # collect into string -if [ "$dry_run" == "1" ]; then - arg_dry_run="-n $dry_run" -else - arg_dry_run="" -fi RESOURCES="ram=4&cores=$N_SMP" dir=`pwd` @@ -168,20 +184,10 @@ dir=`pwd` function submit_batch() { path=$1 - # Paralle call of curl to speed up submission - #n_para=8 - #cat $path | xargs -I {} -P $n_para bash -c ' - #source $HOME/shapepipe/scripts/sh/functions.sh - #ID="{}" - #IDt=$(echo $ID | tr "." "-") - #my_name="SP-${patch}-J${job}-${IDt}" - #call_curl $my_name $dry_run $debug_out - #' - for ID in `cat $path`; do IDt=`echo $ID | tr "." "-"` my_name="SP-${patch}-J${job}-${IDt}" - call_curl $my_name $dry_run $debug_out + call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $debug_out $fix $scratch $test_arg done } @@ -203,7 +209,7 @@ if [ "$dry_run" == 2 ]; then for ID in `cat $file_IDs`; do IDt=`echo $ID | tr "." "-"` my_name="SP-${patch}-J${job}-${IDt}" - call_curl $my_name $dry_run $debug_out + call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $debug_out $fix $scratch $test_arg done else @@ -211,7 +217,7 @@ if [ "$dry_run" == 2 ]; then # Submit image (dry run = 2) IDt=`echo $ID | tr "." "-"` my_name="SP-${patch}-J${job}-${IDt}" - call_curl $my_name $dry_run $debug_out + call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $debug_out $fix $scratch $test_arg fi @@ -264,7 +270,7 @@ else # Submit image IDt=`echo $ID | tr "." "-"` my_name="SP-${patch}-J${job}-${IDt}" - call_curl $my_name $dry_run $debug_out + call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $debug_out $fix $scratch $test_arg fi diff --git a/scripts/sh/functions.sh b/scripts/sh/functions.sh index 0e9ddc90e..f41415299 100644 --- a/scripts/sh/functions.sh +++ b/scripts/sh/functions.sh @@ -10,13 +10,6 @@ pat="---- " STOP=0 -# Return argument for local script to be called via curl -function set_arg() { - my_arg="-j $job -p $psf -e $ID -N $N_SMP $arg_dry_run -d $dir -m $mh_local -s $sp_local --debug_out $debug_out -F $fix" - echo $my_arg -} - - # Add session and image IDs to log files function update_session_logs() { echo $my_session >> session_IDs.txt @@ -25,23 +18,33 @@ function update_session_logs() { function call_curl() { my_name=$1 - dry_run=$2 - debug_out=$3 - - my_arg=$(set_arg) - - if [ "$dry_run" == "0" ]; then + my_job=$2 + my_psf=$3 + my_ID=$4 + my_N_SMP=$5 + my_dry_run=$6 + my_dir=$7 + my_mh_local=$8 + my_sp_local=$9 + my_debug_out=${10} + my_fix=${11} + my_scratch=${12} + my_test_arg=${13} + + my_arg="-j $my_job -p $my_psf -e $my_ID -N $my_N_SMP -n $my_dry_run -d $my_dir -m $my_mh_local -s $my_sp_local --debug_out $my_debug_out -F $my_fix -S $my_scratch $my_test_arg" + + if [ "$my_dry_run" == "0" ]; then my_session=`curl -E $SSL "$SESSION?$RESOURCES" -d "image=$IMAGE:$version" -d "name=${my_name}" -d "cmd=$cmd_remote" --data-urlencode "args=${my_arg[@]}"` fi cmd=("curl" "-E" "$SSL" "$SESSION?$RESOURCES" "-d" "image=$IMAGE:$version" "-d" "name=${my_name}" "-d" "cmd=$cmd_remote" "--data-urlencode" "args=\"${my_arg}\"") - if [ "$debug_out" != "-1" ]; then - echo "${pat}call_curl $my_name $my_arg" >> $debug_out - echo "${pat}Running ${cmd[@]} (dry_run=$dry_run)" >> $debug_out + if [ "$my_debug_out" != "-1" ]; then + echo "${pat}call_curl $my_name $my_arg" >> $my_debug_out + echo "${pat}Running ${cmd[@]} (dry_run=$my_dry_run)" >> $my_debug_out fi - echo "${cmd[@]} (dry_run=$dry_run)" + echo "${cmd[@]} (dry_run=$my_dry_run)" # Running $cmd does not work due to unknown problems with passing of args @@ -53,7 +56,7 @@ function call_curl() { ## Print string, executes command, and prints return value. function command () { cmd=$1 - dry_run=$2 + my_dry_run=$2 RED='\033[0;31m' GREEN='\033[0;32m' @@ -63,7 +66,7 @@ function command () { #GREEN='' #NC='' - msg="running '$cmd' (dry run=$dry_run)" + msg="running '$cmd' (dry run=$my_dry_run)" if [ $VERBOSE == 1 ]; then echo $msg fi @@ -71,7 +74,7 @@ function command () { echo ${pat}$msg >> $debug_out fi - if [ "$dry_run" == "0" ]; then + if [ "$my_dry_run" == "0" ]; then $cmd res=$? diff --git a/scripts/sh/init_run_exclusive_canfar.sh b/scripts/sh/init_run_exclusive_canfar.sh index f513a1eaa..7f4660fa1 100755 --- a/scripts/sh/init_run_exclusive_canfar.sh +++ b/scripts/sh/init_run_exclusive_canfar.sh @@ -12,8 +12,7 @@ dir=`pwd` debug_out=-1 scratch=-1 fix=0 -# On canfar: -#scratch=/scratch/`whoami` +test_only=0 # mh_local is 0 (1) if merge_header_runner is run on all exposures, # which is standard so far (run on exposures of given tile only; new) @@ -46,12 +45,14 @@ usage="Usage: $(basename "$0") -j JOB -e ID -k KIND [OPTIONS] \trun directory, default is pwd ($dir)\n -S, --scratch\n \tprocessing scratch directory, default is None ($scratch)\n - -F, --fix\n - \tfix missing data (re-download tile, unzip)\ - -n, --dry_run\n - \tdry run, no actuall processing\n + -F, --fix FIX\n + \tfix missing data (re-download tile, unzip) for FIX=1; default is $FIX\n + -n, --dry_run LEVEL\n + \tdry run (LEVEL=1), no actual processing; default is $dry_run\n --debug_out PATH\n \tdebug output file PATH, default not used\n + --test\n + \ttest mode, no processind\n " ## Help if no arguments @@ -100,53 +101,80 @@ while [ $# -gt 0 ]; do shift ;; -n|--dry_run) - dry_run=1 + dry_run="$2" + shift ;; -F|--fix) - fix=1 + fix="$2" + shift ;; --debug_out) debug_out="$2" shift ;; + --test) + test_only=1 + ;; esac shift done + +# functions +function message() { + msg=$1 + my_debug_out=$2 + my_exit=$3 + + echo $msg + if [ "$my_debug_out" != "-1" ]; then + echo ${pat}$msg >> $my_debug_out + fi + + if [ "$my_exit" != "-1" ]; then + echo "${pat}exiting with code $my_exit" >> $my_debug_out + exit $my_exit + fi +} + + +# Init message +if [ "$test_only" == "1" ]; then + msg="init_run_exclusive.py script test mode, exiting." + ex=0 +else + msg="init_run_exclusive.py script processing mode, starting." + ex=-1 +fi +message "$msg" $debug_out $ex + + ## Check options +message "checking options" $debug_out -1 + if [ "$job" == "-1" ]; then - echo "No job indicated, use option -j" - exit 2 + message "No job indicated, use option -j" $debug_out 2 fi if [ "$exclusive" == "-1" ]; then - echo "No image ID indicated, use option -e" - exit 3 + message "No image ID indicated, use option -e" $debug_out 3 fi if [ "$psf" != "psfex" ] && [ "$psf" != "mccd" ]; then - echo "PSF (option -p) needs to be 'psfex' or 'mccd'" - exit 4 + message "PSF (option -p) needs to be 'psfex' or 'mccd'" $debug_out 4 fi if [ "$mh_local" != "0" ] && [ "$mh_local" != "1" ]; then - echo "mh_local (option -m) needs to be 0 or 1" - exit 5 + message "mh_local (option -m) needs to be 0 or 1" $debug_out 5 fi if [ "$sp_local" != "0" ] && [ "$sp_local" != "1" ]; then - echo "sp_local (option -m) needs to be 0 or 1" - exit 6 + message "sp_local (option -m) needs to be 0 or 1" $debug_out 6 fi -if [ "$patch" != "P8" ] && [ "$sp_local" == "1" ]; then - echo "sp_local=1 only used for patch P8" - exit 7 +if [ "$dry_run" != "0" ] && [ "$dry_run" != 1 ]; then + message "dry_run must be 0 or 1, not $dry_run" $debug_out 8 fi -#if [ "$patch" != "P8" ] && [ "$mh_local" == "1" ]; then - #echo "mh_local=1 only used for patch P8" - #exit 8 -#fi # Start script @@ -154,92 +182,91 @@ fi source $HOME/shapepipe/scripts/sh/functions.sh msg="Starting $(basename "$0")" -echo $msg -if [ "$debug_out" != "-1" ]; then - echo ${pat}$msg >> $debug_out - echo ${pat}`date` >> $debug_out - echo "${pat}init ID=$ID" >> $debug_out - -fi +message "$msg" $debug_out -1 +message "`date`" $debug_out -1 +message "ID=$ID" $debug_out -1 # Set kind kind=$(get_kind_from_job $job) if [ "$kind" == "none" ]; then - echo "Error: invalid job $job" - exit 5 + message "Error: invalid job $job" $debug_out 5 fi +message "kind=$kind" $debug_out -1 -if [ "$dry_run" == 1 ]; then - echo "in dry run mode" + +if [ "$dry_run" == "1" ]; then + message "running in dry run mode" $debug_out -1 +else + message "not running in dry run mode" $debug_out -1 fi CONDA_PREFIX=$HOME/.conda/envs/shapepipe PATH=$PATH:$CONDA_PREFIX/bin -if [ "$debug_out" != "-1" ]; then - echo "${pat}conda prefix = ${CONDA_PREFIX}" >> $debug_out - echo "${pat}HOME = ${HOME}" >> $debug_out - echo "${pat}path = ${PATH}" >> $debug_out -fi +message "conda prefix = ${CONDA_PREFIX}" $debug_out -1 +message "HOME = ${HOME}" $debug_out -1 +message "path = ${PATH}" $debug_out -1 cd $dir -echo $pwd +message "pwd=$pwd" $debug_out -1 if [ ! -d ${kind}_runs ]; then command "mkdir ${kind}_runs" $dry_run fi if [ "$fix" == "1" ]; then - echo "Fixing missing data" + message "Fixing missing data" $debug_out -1 - echo "Download tile images" + message "Download tile images" $debug_out -1 cd data_tiles file_name=CFIS.$ID.r.fits if [ ! -e $file_name ]; then - echo "Downloading $file_name" + message "Downloading $file_name" $debug_out -1 vcp vos:cfis/tiles_DR5/$file_name . else - echo "File $file_name exists, skipping" + message "File $file_name exists, skipping" $debug_out -1 fi file_name=CFIS.$ID.r.weight.fits.fz if [ ! -e $file_name ]; then - echo "Downloading $file_name" + message "Downloading $file_name" $debug_out -1 vcp vos:cfis/tiles_DR5/$file_name . else - echo "File $file_name exists, skipping" + message "File $file_name exists, skipping" $debug_out -1 fi cd .. - echo "link to tiles" + message "link to tiles..." $debug_out -1 cd output/run_sp_GitFeGie_202*/get_images_runner_run_1/output IDt=`echo $ID | tr "." "-"` path_tiles=/arc/home/kilbinger/cosmostat/v2/pre_v2/$psf/$patch/data_tiles link_name=CFIS_image-$IDt.fits if [ ! -e $link_name ]; then - echo "Creating link $link_name" + message "Creating link $link_name" $debug_out -1 # force to overwrite broken link ln -sf $path_tiles/CFIS.$ID.r.fits $link_name else - echo "Link $link_name exists, skipping" + message "Link $link_name exists, skipping" $debug_out -1 fi link_name=CFIS_weight-$IDt.fitsfz if [ ! -e $link_name ]; then - echo "Creating link $link_name" + message "Creating link $link_name" $debug_out -1 ln -sf $path_tiles/CFIS.$ID.r.weight.fits.fz $link_name else - echo "Link $link_name exists, skipping" + message "Link $link_name exists, skipping" $debug_out -1 fi - cd ../../../.. + command "cd ../../../.." $dry_run - echo "Unzip weight" - cd tile_runs/$ID + message "Unzip weight ($dry_run)" $debug_out -1 + command "cd tile_runs/$ID" $dry_run export SP_RUN=`pwd` - shapepipe_run -c cfis/config_tile_Uz.ini -e $ID + command "shapepipe_run -c cfis/config_tile_Uz.ini -e $ID" $dry_run cd $dir +else + message "Not fixing missing data" $debug_out -1 fi @@ -263,21 +290,38 @@ fi cd output -if [ "$mh_local" == "0" ]; then - if [ ! -f log_exp_headers.sqlite ]; then - # Global Mh and file does not exist -> symlink to - # gllobal mh file - command "ln -s $dir/output/log_exp_headers.sqlite" $dry_run - fi -fi - - # Update links to global run directories (GiFeGie) # New: 27/11/2024: Remove link to Uz, conflict with fix for my_dir in $dir/output/run_sp_[G]*; do command "ln -sf $my_dir" $dry_run done +# The following could be done also with fix=1 +if [ "$fix" == "0" ] && [ "$kind" == "tile" ]; then + if [ ! -e "run_sp_Uz*" ]; then + + message "previous uncompress run not found..." $debug_out -1 + + # Remove broken links + for my_dir in run_sp_Uz*; do + if [ -L $my_dir ]; then + command "rm $my_dir" $dry_run + message "remove broken link $my_dir" $debug_out -1 + fi + done + + # Create working link + for my_dir in $dir/output/run_sp_Uz*; do + command "ln -sf $my_dir" $dry_run + message "create valid link $my_dir" $debug_out -1 + done + cd .. + command "update_runs_log_file.py" $dry_run + cd output + fi +fi + + # Combined flags ## Tiles @@ -286,23 +330,30 @@ command "ln -sf $dir/output/run_sp_Ma_tile" $dry_run if [ "$sp_local" == "0" ]; then # Exposures command "ln -sf $dir/output/run_sp_Ma_exp" $dry_run -else - command "rm -f $dir/output/run_sp_Ma_exp" $dry_run +#else + #command "rm -f $dir/output/run_sp_Ma_exp" $dry_run fi # Check for existing exp SpMh dir -if [[ -d "$dir/output/run_sp_exp_SpMh" ]]; then +dir_SpMh="run_sp_exp_SpMh" +if [[ -d "$dir/output/$dir_SpMh" ]]; then # create link - command "ln -sf $dir/output/run_sp_exp_SpMh" $dry_run + command "ln -sf $dir/output/$dir_SpMh" $dry_run else - echo "No global SpMh directory found" + message "No global SpMh directory found" $debug_out -1 + if [ -L "$dir_SpMh" ] && [ ! -e "$dir_SpMh" ]; then + message "Remove broken link $dir_SpMh" $debug_out -1 + rm $dir_SpMh + fi fi (( do_job = $job & 2 )) if [ $do_job != 0 ] && [ "$sp_local" == "1" ]; then - # run local Sp; works only with mh_local=1; this step needs to be done +#if [ ! -e "run_exp_Sp_shdu" ] && [ "$sp_local" == "1" ]; then + # run local Sp if not done already; works only with mh_local=1; this step needs to be done # before following mh_local=1 steps - command "rm -rf run_sp_GitFeGie*" $dry_run + message "run local sp" $debug_out -1 + command "rm -rf run_sp_GitFeGie*/get_images_runner_run_2" $dry_run command "rm -rf run_sp_Gie*" $dry_run command "rm -rf run_sp_exp_Sp*" $dry_run @@ -327,7 +378,6 @@ if [ $do_job != 0 ] && [ "$sp_local" == "1" ]; then if [ "$scratch" != "-1" ]; then command "cd ../.." $dry_run command "mkdir -p $scratch/exp_runs" $dry_run - pwd command "cp -R exp_runs/$ID $scratch/exp_runs" $dry_run command "cd $scratch/exp_runs/$ID" $dry_run fi @@ -353,47 +403,67 @@ if [ $do_job != 0 ] && [ "$sp_local" == "1" ]; then exit 0 fi - # Revmove job=2 bit to avoid re-running of this job - job=$(( job & ~2 )) fi -(( do_job = $job & 8 )) -if [ $do_job != 0 ] && [ "$sp_local" == "1" ]; then - # Remove previous local Ma runs - echo "cdsclient = $CDSCLIENT" - command "rm -rf run_sp_exp_Ma*" $dry_run +if [ "$kind" == $tile ] && [ "$sp_local" == "1" ]; then + cd ../../.. + command "link_to_exp_for_tile.py -t $ID -i tile_runs -I exp_runs -s $sp_local" $dry_run + cd tile_runs/$ID + command "combine_runs.bash -p psfex -c shdu" $dry_run + cd output fi -(( do_job = $job & 16 )) -if [[ $do_job != 0 ]]; then - # Remove previous Sx runs - command "rm -rf run_sp_tile_Sx_*" $dry_run - - if [ "$mh_local" == "1" ]; then - if [ "$ID" == "-1" ]; then - echo "ID needs to be given (option -e) for mh_local and job&16" - exit 6 - fi +if [ "$mh_local" == "0" ]; then + if [ ! -f log_exp_headers.sqlite ]; then + # Global Mh and file does not exist -> symlink to + # gllobal mh file + message "creating global link to exp headers (mh_local=0)" $debug_out -1 + command "ln -s $dir/output/log_exp_headers.sqlite" $dry_run + else + message "global link to exp headers (mh_local=0) exists" $debug_out -1 + fi +else + # Local Mh + message "not creating global link to exp headers (mh_local=1)" $debug_out -1 + if [ "$ID" == "-1" ]; then + message "ID needs to be given (option -e) for mh_local" $debug_out 6 + fi - if [ -L log_exp_headers.sqlite ]; then - # Local Mh and symlink -> remove previous link to - # (potentially incomplete) global mh file - echo "Removing previous mh sym link" - command "rm log_exp_headers.sqlite" $dry_run - else - echo "no mh link found" - fi + if [ -L log_exp_headers.sqlite ]; then + # Local Mh and symlink -> remove previous link to + # (potentially incomplete) global mh file + message "Removing previous mh sym link" $debug_out -1 + command "rm log_exp_headers.sqlite" $dry_run + else + message "no mh link found" $debug_out -1 + fi - echo "Creating local mh file" + if [ ! -e log_exp_headers.sqlite ]; then + message "Creating local mh file" $debug_out -1 cd .. command "update_runs_log_file.py" $dry_run export SP_RUN=`pwd` command "shapepipe_run -c cfis/config_exp_Mh.ini" $dry_run cd output + else + message "Found local mh file, continuing" $debug_out -1 fi +fi + + +(( do_job = $job & 8 )) +if [ $do_job != 0 ] && [ "$sp_local" == "1" ]; then + # Remove previous local Ma runs + message "cdsclient = $CDSCLIENT" $debug_out -1 + command "rm -rf run_sp_exp_Ma*" $dry_run +fi +(( do_job = $job & 16 )) +if [[ $do_job != 0 ]]; then + # Remove previous Sx runs + command "rm -rf run_sp_tile_Sx_*" $dry_run fi # Update links to exposure run directories, which were created in job 32 @@ -401,16 +471,17 @@ fi if [[ $do_job != 0 ]]; then if [ "$kind" == "tile" ]; then cd ../../.. - command "link_to_exp_for_tile.py -t $ID -i tile_runs -I exp_runs" $dry_run + command "link_to_exp_for_tile.py -t $ID -i tile_runs -I exp_runs -s $sp_local" $dry_run cd ${kind}_runs/$ID/output # Remove duplicate job-16 runs (tile detection) - n_16=`ls -rt1d run_sp_tile_Sx_* | wc -l` - if [ "$n_16" != "1" ]; then - n_remove="$(($n_16-1))" - echo "removing $n_remove duplicate old job-16 runs" - command "rm -rf `ls -rt1d run_sp_tile_Sx_* | head -$n_remove`" $dry_run - fi + # New (P8) commented + #n_16=`ls -rt1d run_sp_tile_Sx_* | wc -l` + #if [ "$n_16" != "1" ]; then + #n_remove="$(($n_16-1))" + #echo "removing $n_remove duplicate old job-16 runs" + #command "rm -rf `ls -rt1d run_sp_tile_Sx_* | head -$n_remove`" $dry_run + #fi # Remove previous runs of this job rm -rf run_sp_tile_PsViSmVi* @@ -452,17 +523,22 @@ export DISPLAY=:1.0 if [ "$scratch" != "-1" ]; then # Copy inputs to scratch command "mkdir -p $scratch/${kind}_runs" $dry_run + cd ../.. + command "pwd" $dry_run command "cp -R ${kind}_runs/$ID $scratch/${kind}_runs" $dry_run - command "cd $scratch" $dry_run + command "cd $scratch/${kind}_runs/$ID" $dry_run fi command "job_sp_canfar.bash -p psfex -j $job -e $ID --n_smp $N_SMP --nsh_jobs $N_SMP --debug_out $debug_out " $dry_run if [ "$scratch" != "-1" ]; then + cd ../.. if [ "$job" == "32" ]; then command "mv ${kind}_runs/$ID/output/run_sp_exp_SxSe* $dir/${kind}_runs/$ID/output" $dry_run elif [ "$job" == "64" ]; then command "mv ${kind}_runs/$ID/output/run_sp_tile_PsViSm** $dir/${kind}_runs/$ID/output" $dry_run + elif [ "$job" == "128" ]; then + command "mv ${kind}_runs/$ID/output/run_sp_tile_ngmix* $dir/${kind}_runs/$ID/output" $dry_run else echo "scratch mode with job=$job not implemented yet, exiting..." exit 8 diff --git a/scripts/sh/run_scratch_local.sh b/scripts/sh/run_scratch_local.sh index f11f6959f..bd78be79e 100755 --- a/scripts/sh/run_scratch_local.sh +++ b/scripts/sh/run_scratch_local.sh @@ -1,4 +1,4 @@ -#!/usr/bin/bash +#!/bin/bash # Command line arguments ## Default values From 23abff30fce3de443bc172541e42a036978f4dfb Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 6 Dec 2024 09:35:52 +0000 Subject: [PATCH 155/217] vignetmaker added file read test --- shapepipe/modules/vignetmaker_package/vignetmaker.py | 10 +++++++++- shapepipe/modules/vignetmaker_runner.py | 1 + 2 files changed, 10 insertions(+), 1 deletion(-) diff --git a/shapepipe/modules/vignetmaker_package/vignetmaker.py b/shapepipe/modules/vignetmaker_package/vignetmaker.py index de05a9f2b..9cc4ae0b2 100644 --- a/shapepipe/modules/vignetmaker_package/vignetmaker.py +++ b/shapepipe/modules/vignetmaker_package/vignetmaker.py @@ -46,11 +46,13 @@ def __init__( pos_params, output_dir, image_num, + w_log, ): self._galcat_path = galcat_path self._output_dir = output_dir self._image_num = image_num + self._w_log = w_log self._pos = self.get_pos(pos_params) self._pos_type = pos_type @@ -190,7 +192,13 @@ def _get_stamp(self, img_path, pos, rad): """ img_file = file_io.FITSCatalogue(img_path) img_file.open() - img = img_file.get_data(0) + try: + img = img_file.get_data(0) + except: + self._w_log.info( + f"Error while reading data from {img_path}" + ) + raise img_file.close() fs = FetchStamps(img, int(rad)) diff --git a/shapepipe/modules/vignetmaker_runner.py b/shapepipe/modules/vignetmaker_runner.py index 2448f9bbd..5b9663e71 100644 --- a/shapepipe/modules/vignetmaker_runner.py +++ b/shapepipe/modules/vignetmaker_runner.py @@ -80,6 +80,7 @@ def vignetmaker_runner( pos_params=pos_params, output_dir=run_dirs["output"], image_num=file_number_string, + w_log=w_log, ) # Process module according to mode From 3eaf9a73328dc909e0dd7382ec371729908fc004 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 6 Dec 2024 10:52:01 +0100 Subject: [PATCH 156/217] candide run script added 128 --- scripts/sh/run_scratch_local.sh | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/scripts/sh/run_scratch_local.sh b/scripts/sh/run_scratch_local.sh index f11f6959f..dba8eb30a 100755 --- a/scripts/sh/run_scratch_local.sh +++ b/scripts/sh/run_scratch_local.sh @@ -153,7 +153,9 @@ if [ "$scratch" != "-1" ]; then if [ "$job" == "32" ]; then command "mv ${kind}_runs/$ID/output/run_sp_exp_SxSe* $dir/${kind}_runs/$ID/output" $dry_run elif [ "$job" == "64" ]; then - command "mv ${kind}_runs/$ID/output/run_sp_tile_PsViSm** $dir/${kind}_runs/$ID/output" $dry_run + command "mv ${kind}_runs/$ID/output/run_sp_tile_PsViSm* $dir/${kind}_runs/$ID/output" $dry_run + elif [ "$job" == "128" ]; then + command "mv ${kind}_runs/$ID/output/run_sp_tile_ngmix_* $dir/${kind}_runs/$ID/output" $dry_run fi command "rm -rf ${kind}_runs/$ID" $dry_run From 2cb051929c530b30aebf254703ed1bb831f633ba Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Mon, 9 Dec 2024 09:17:17 +0000 Subject: [PATCH 157/217] added code to dead with missing spread model input --- scripts/python/summary_params_pre_v2.py | 7 ++-- .../modules/make_cat_package/make_cat.py | 31 ++++++++++++---- shapepipe/modules/make_cat_runner.py | 35 +++++++++++++------ shapepipe/utilities/summary.py | 12 +++++++ 4 files changed, 66 insertions(+), 19 deletions(-) diff --git a/scripts/python/summary_params_pre_v2.py b/scripts/python/summary_params_pre_v2.py index 9c59692c5..71892557a 100644 --- a/scripts/python/summary_params_pre_v2.py +++ b/scripts/python/summary_params_pre_v2.py @@ -187,15 +187,16 @@ def set_jobs_v2_pre_v2(patch, verbose): "psfex_interp_runner", "vignetmaker_runner_run_1", "spread_model_runner", + "spread_model_runner", "vignetmaker_runner_run_2", ], "tile_IDs", - n_mult=[1, 1, 1, 1, 4], + n_mult=[1, 1, 1, 1, 1, 4], path_main=path_main, path_left="tile_runs", output_subdirs=[f"{tile_ID}/output" for tile_ID in list_tile_IDs_dot], - path_output=["output", "logs", "output", "output", "output"], - special=[False, True, False, False, False], + path_output=["output", "logs", "output", "output", "logs", "output"], + special=[False, True, False, False, True, False], verbose=verbose, ) diff --git a/shapepipe/modules/make_cat_package/make_cat.py b/shapepipe/modules/make_cat_package/make_cat.py index e9b246a74..c7aa1e513 100644 --- a/shapepipe/modules/make_cat_package/make_cat.py +++ b/shapepipe/modules/make_cat_package/make_cat.py @@ -84,6 +84,11 @@ def save_sextractor_data(final_cat_file, sexcat_path, remove_vignet=True): remove_vignet : bool If ``True`` will not save the ``VIGNET`` field into the final catalogue + Returns + ------- + int + Number of objects saved + """ sexcat_file = file_io.FITSCatalogue(sexcat_path, SEx_catalogue=True) sexcat_file.open() @@ -109,6 +114,8 @@ def save_sextractor_data(final_cat_file, sexcat_path, remove_vignet=True): sexcat_file.close() + return cat_size + def save_sm_data( final_cat_file, @@ -116,6 +123,7 @@ def save_sm_data( do_classif=True, star_thresh=0.003, gal_thresh=0.01, + n_obj=-1, ): r"""Save Spread-Model Data. @@ -126,7 +134,8 @@ def save_sm_data( final_cat_file : file_io.FITSCatalogue Final catalogue sexcat_sm_path : str - Path to spread-model catalogue to save. + Path to spread-model catalogue to save. If ``None``, spread_model is + set to 99 do_classif : bool If ``True`` objects will be classified into stars, galaxies, and other, using the classifier @@ -137,17 +146,27 @@ def save_sm_data( gal_thresh : float Threshold for galaxy selection; object is classified as galaxy if :math:`{\rm class} >` ``gal_thresh`` + nobj : int, optional + Number of objects, only used if sexcat_sm_path is ``None`` """ final_cat_file.open() - sexcat_sm_file = file_io.FITSCatalogue(sexcat_sm_path, SEx_catalogue=True) - sexcat_sm_file.open() + if sexcat_sm_path is not None: + sexcat_sm_file = file_io.FITSCatalogue( + sexcat_sm_path, + SEx_catalogue=True, + ) + sexcat_sm_file.open() + + sm = np.copy(sexcat_sm_file.get_data()["SPREAD_MODEL"]) + sm_err = np.copy(sexcat_sm_file.get_data()["SPREADERR_MODEL"]) - sm = np.copy(sexcat_sm_file.get_data()["SPREAD_MODEL"]) - sm_err = np.copy(sexcat_sm_file.get_data()["SPREADERR_MODEL"]) + sexcat_sm_file.close() - sexcat_sm_file.close() + else: + sm = np.ones(n_obj) * 99 + sm_err = np.ones(n_obj) * 99 final_cat_file.add_col("SPREAD_MODEL", sm) final_cat_file.add_col("SPREADERR_MODEL", sm_err) diff --git a/shapepipe/modules/make_cat_runner.py b/shapepipe/modules/make_cat_runner.py index f36209f42..17ead7f05 100644 --- a/shapepipe/modules/make_cat_runner.py +++ b/shapepipe/modules/make_cat_runner.py @@ -2,7 +2,7 @@ Module runner for ``make_cat``. -:Author: Axel Guinot +:Author: Axel Guinot, Martin Kilbinger """ @@ -37,14 +37,25 @@ def make_cat_runner( ): """Define The Make Catalogue Runner.""" # Set input file paths - ( - tile_sexcat_path, - sexcat_sm_path, - galaxy_psf_path, - shape1_cat_path, - ) = input_file_list[0:4] - if len(input_file_list) == 5: - shape2_cat_path = input_file_list[4] + if len(input_file_list) == 3: + # No spread model input + ( + tile_sexcat_path, + galaxy_psf_path, + shape1_cat_path, + ) = input_file_list + sexcat_sm_path = None + else: + # With spread model input + ( + tile_sexcat_path, + sexcat_sm_path, + galaxy_psf_path, + shape1_cat_path, + ) = input_file_list[0:4] + if len(input_file_list) == 5: + # With second shape catalogue input + shape2_cat_path = input_file_list[4] # Fetch classification options do_classif = config.getboolean( @@ -83,16 +94,20 @@ def make_cat_runner( # Save SExtractor data w_log.info("Save SExtractor data") - make_cat.save_sextractor_data(final_cat_file, tile_sexcat_path) + n_obj = make_cat.save_sextractor_data(final_cat_file, tile_sexcat_path) # Save spread-model data w_log.info("Save spread-model data") + if sexcat_sm_path is None: + w_log.info("No sm cat input, setting spread model to 99") + n_obj make_cat.save_sm_data( final_cat_file, sexcat_sm_path, do_classif, star_thresh, gal_thresh, + n_obj=n_obj ) # Save shape data diff --git a/shapepipe/utilities/summary.py b/shapepipe/utilities/summary.py index 4082ed282..8500ff0ba 100755 --- a/shapepipe/utilities/summary.py +++ b/shapepipe/utilities/summary.py @@ -213,6 +213,11 @@ def check_special_one(module, path): code = 5 msg = "No object detected (weight might be 0 everywhere)" return msg, code + m = re.search("Could not read sql file", line) + if m: + code = 7 + msg = "Invalid sql file" + return msg, code if module == "ngmix_runner": m = re.search("finished", line) @@ -220,6 +225,13 @@ def check_special_one(module, path): ngmix_finished = True break + if modeul == "spread_model_runner": + m = re.search("FFT that is too large", line) + if m: + code = 8 + msg = "Catalogue too large for FFT" + return msg, code + if module == "ngmix_runner" and not ngmix_finished: code = 6 mgs = "ngmix incomplete" From d53fa844893b2a4fdae4537ab0396d084dcbbd1a Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Mon, 9 Dec 2024 09:18:53 +0000 Subject: [PATCH 158/217] canfar scripts improve debug --- scripts/sh/combine_runs.bash | 4 ++-- scripts/sh/init_run_exclusive_canfar.sh | 23 +++++++++++++++++------ scripts/sh/stats_jobs_canfar.sh | 6 +++++- 3 files changed, 24 insertions(+), 9 deletions(-) diff --git a/scripts/sh/combine_runs.bash b/scripts/sh/combine_runs.bash index e02f85789..d7f1e5610 100755 --- a/scripts/sh/combine_runs.bash +++ b/scripts/sh/combine_runs.bash @@ -75,10 +75,10 @@ function link_s () { link_name=$2 if [ -L "$link_name" ]; then - echo "link with name $link_name already exists, skipping..." + #echo "link with name $link_name already exists, skipping..." let "n_skipped+=1" else - echo "create link $target <- $link_name" + #echo "create link $target <- $link_name" ln -s $target $link_name let "n_created+=1" fi diff --git a/scripts/sh/init_run_exclusive_canfar.sh b/scripts/sh/init_run_exclusive_canfar.sh index 7f4660fa1..4119c48ac 100755 --- a/scripts/sh/init_run_exclusive_canfar.sh +++ b/scripts/sh/init_run_exclusive_canfar.sh @@ -139,6 +139,7 @@ function message() { # Init message +message "test=$test" $debug_out -1 if [ "$test_only" == "1" ]; then msg="init_run_exclusive.py script test mode, exiting." ex=0 @@ -204,12 +205,8 @@ fi CONDA_PREFIX=$HOME/.conda/envs/shapepipe PATH=$PATH:$CONDA_PREFIX/bin -message "conda prefix = ${CONDA_PREFIX}" $debug_out -1 -message "HOME = ${HOME}" $debug_out -1 -message "path = ${PATH}" $debug_out -1 cd $dir -message "pwd=$pwd" $debug_out -1 if [ ! -d ${kind}_runs ]; then command "mkdir ${kind}_runs" $dry_run @@ -405,7 +402,7 @@ if [ $do_job != 0 ] && [ "$sp_local" == "1" ]; then fi -if [ "$kind" == $tile ] && [ "$sp_local" == "1" ]; then +if [ "$kind" == "tile" ] && [ "$sp_local" == "1" ]; then cd ../../.. command "link_to_exp_for_tile.py -t $ID -i tile_runs -I exp_runs -s $sp_local" $dry_run cd tile_runs/$ID @@ -430,6 +427,7 @@ else message "ID needs to be given (option -e) for mh_local" $debug_out 6 fi + # Check and remove symbolic (global) mh file link if [ -L log_exp_headers.sqlite ]; then # Local Mh and symlink -> remove previous link to # (potentially incomplete) global mh file @@ -439,6 +437,17 @@ else message "no mh link found" $debug_out -1 fi + # Check size of existing header file + if [ -e log_exp_headers.sqlite ]; then + size=$(stat -c %s log_exp_headers.sqlite) + if (( size > 15000 )); then + message "Found valid local mh file, continuing" $debug_out -1 + else + message "Existing local mh file looks invalid, deleting" $debug_out -1 + rm -f log_exp_headers.sqlite + fi + fi + if [ ! -e log_exp_headers.sqlite ]; then message "Creating local mh file" $debug_out -1 @@ -533,7 +542,9 @@ command "job_sp_canfar.bash -p psfex -j $job -e $ID --n_smp $N_SMP --nsh_jobs $N if [ "$scratch" != "-1" ]; then cd ../.. - if [ "$job" == "32" ]; then + if [ "$job" == "16" ]; then + command "mv ${kind}_runs/$ID/output/run_sp_Sx_* $dir/${kind}_runs/$ID/output" $dry_run + elif [ "$job" == "32" ]; then command "mv ${kind}_runs/$ID/output/run_sp_exp_SxSe* $dir/${kind}_runs/$ID/output" $dry_run elif [ "$job" == "64" ]; then command "mv ${kind}_runs/$ID/output/run_sp_tile_PsViSm** $dir/${kind}_runs/$ID/output" $dry_run diff --git a/scripts/sh/stats_jobs_canfar.sh b/scripts/sh/stats_jobs_canfar.sh index f9c51101a..2f35ceaaf 100755 --- a/scripts/sh/stats_jobs_canfar.sh +++ b/scripts/sh/stats_jobs_canfar.sh @@ -67,10 +67,14 @@ esac # Get all instances if [ "$debug" == "1" ]; then curl -E $SSL $SESSION + echo echo curl -E $SSL $SESSION exit 0 else - curl -E $SSL $SESSION &> /dev/null > $tmpfile_jobs + #curl -E $SSL $SESSION &> /dev/null > $tmpfile_jobs + curl -E $SSL $SESSION > $tmpfile_jobs + curl -E $SSL $SESSION + echo "curl -E $SSL $SESSION" fi res=$? From 2e6cba6058868b5c3030ff6d4a340e1539420698 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Tue, 10 Dec 2024 15:28:57 +0000 Subject: [PATCH 159/217] create hdf5: -l flag --- scripts/python/create_final_cat.py | 105 ++++++++++++++++++++--------- 1 file changed, 74 insertions(+), 31 deletions(-) mode change 100644 => 100755 scripts/python/create_final_cat.py diff --git a/scripts/python/create_final_cat.py b/scripts/python/create_final_cat.py old mode 100644 new mode 100755 index 1c365fd97..6c7457672 --- a/scripts/python/create_final_cat.py +++ b/scripts/python/create_final_cat.py @@ -7,6 +7,8 @@ Create and update hdf5 file of all final ShapePipe output FITS files, runs of ShapePipe module ``make_catalogue_runner``. Supercedes `merge_final_cat.py`. +Usage: in parent dir of patches: +create_final_cat.py -p ~/shapepipe/example/cfis/final_cat.param -i . -P 7 -v -m final_cat_P7.hdf5 :Author: Martin Kilbinger """ @@ -60,22 +62,30 @@ def params_default(): """ _params = { "input_root_dir": ".", - "output_path": "final_cat.hdf5", + "merged_cat_path": "final_cat.hdf5", "param_path": None, "hdu_num": 1, + "patch": "3", + "list_only": False, } _short_options = { "input_root_dir": "-i", - "output_path": "-o", + "merged_cat_path": "-m", "param_path": "-p", + "patch": "-P", + "list_only": "-l", + } _types = { "hdu_num": "int", + "list_only": "bool", } _help_strings = { - "input_root_dir": "input root_dir for tile catalogues", - "output_path": "output path (hdf5 file)", - "param_path": "parameter file path, if not given use all columns", + "input_root_dir": "input root_dir for tile catalogues, default={}", + "merged_cat_path": "merged catalogue path (hdf5 file), default={}", + "param_path": "parameter file path, if not given use all columns, default={}", + "patch": "patch number, default={}", + "list_only": "print list of patches and IDs only, default={}", } return _params, _short_options, _types, _help_strings @@ -136,10 +146,20 @@ def check_params(params): return True +def print_list(params): + + with h5py.File(params["merged_cat_path"], "a") as hdf5_file: + + for patch in hdf5_file["patches"]: + print(patch) + for id in hdf5_file[f"patches/{patch}"]: + print(f" {id}") + + def process(params): - #patch_pattern = re.compile(r"P\d") # Matches P followed by a single digit - patch_pattern = re.compile(r"P3") # Matches P followed by a single digit + patch = rf"P{params['patch']}" + patch_pattern = re.compile(patch) # Define the nested path pattern for locating `.fits` files file_pattern = "output/run_sp_Mc_*/make_cat_runner/output/*.fits" @@ -149,23 +169,27 @@ def process(params): # Open the HDF5 file (create it if it doesn't exist) if params["verbose"]: - print(f"Initializing file {params['output_path']}") - with h5py.File(params["output_path"], "a") as hdf5_file: + print(f"Initializing file {params['merged_cat_path']}") + with h5py.File(params["merged_cat_path"], "a") as hdf5_file: # Iterate over patches for patch in os.listdir(params["input_root_dir"]): if not patch_pattern.fullmatch(patch): # Skip non-matching entries + #if params["verbose"]: + #print(f"Patch {patch} not found in {params['input_root_dir']}, skipping") continue patch_path = os.path.join(params["input_root_dir"], patch) if not os.path.isdir(patch_path): + if params["verbose"]: + print(f"Path {patch_path} not found, skipping") continue # Get or create a group for the patch if f"patches/{patch}" in hdf5_file: if params["verbose"]: - print(f"Extending group for patch {patch}") + print(f"Processing group {patch}") patch_group = hdf5_file[f"patches/{patch}"] else: if params["verbose"]: @@ -173,13 +197,16 @@ def process(params): patch_group = hdf5_file.create_group(f"patches/{patch}") tile_runs_path = os.path.join(patch_path, "tile_runs") - #if params["verbose"]: - #print(f"Loop over tile IDs in {tile_runs_path}...") subdirs = os.listdir(tile_runs_path) - #if params["verbose"]: - #print(f"{len(subdirs)} IDs found") for id in tqdm.tqdm(subdirs, total=len(subdirs)): + + # Skip if the dataset already exists + if id in patch_group: + if params["verbose"]: + print(f"Skipping {id} (already processed)") + continue + if id_pattern.match(id) and os.path.isdir(os.path.join(tile_runs_path, id)): id_path = os.path.join(tile_runs_path, id) @@ -187,14 +214,7 @@ def process(params): fits_files = glob.glob(output_path, recursive=True) for fits_file in fits_files: - # Skip if the dataset already exists - if id in patch_group: - if params["verbose"]: - print(f"Skipping {id} (already processed)") - continue - - #if params["verbose"]: - #print(f"Reading file {fits_file}...") + # Read data with fits.open(fits_file) as hdul: data = hdul[params["hdu_num"]].data @@ -204,8 +224,9 @@ def process(params): try: extracted_data = {col: data[col] for col in params["param_list"]} + dtype = data.dtype except: - print("Error for ID {id}. Keys not found:") + print("Error for ID {id}") for col in params["param_list"]: if col not in data: print(col, end=" ") @@ -213,17 +234,34 @@ def process(params): continue # For columns with 2-entry quantities, ensure proper dtype - dtype = [] - structured_data = np.empty(len(extracted_data[params["param_list"][0]]), dtype=dtype) + #dtype = [] + structured_data = np.empty( + len(extracted_data[params["param_list"][0]]), + dtype=dtype, + ) + + # Loop over parameters for col in params["param_list"]: - if isinstance(extracted_data[col][0], (np.ndarray, tuple, list)): + + #if isinstance(extracted_data[col][0], (np.ndarray, tuple, list)): + if False: + + continue + # If multi-entry loop over entries + print(col) num_elements = len(extracted_data[col][0]) for idx in range(num_elements): new_col_name = f"{col}_{idx}" dtype.append((new_col_name, extracted_data[col].dtype)) - structured_data[new_col_name] = [x[i] for x in extracted_data[col]] # Extract element `i` + try: + structured_data[new_col_name] = [x[idx] for x in extracted_data[col]] # Extract element `idx` + except: + print(f"Error for ID {id} for column {new_col_name}") + raise else: - dtype.append((col, extracted_data[col].dtype)) + # single entry + if not col in extracted_data: + print(f"Column {col} not in file with ID {id}") structured_data[col] = extracted_data[col] # Create a new dataset @@ -242,9 +280,14 @@ def main(argv=None): check_params(params) - params["param_list"] = read_param_file(params["param_path"], verbose=params["verbose"]) - - process(params) + if params["list_only"]: + print_list(params) + else: + params["param_list"] = read_param_file( + params["param_path"], + verbose=params["verbose"], + ) + process(params) return 0 From b29cb94ce8d40369bdd3dde0dad42d0d02da671d Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Tue, 10 Dec 2024 15:29:34 +0000 Subject: [PATCH 160/217] summary --- scripts/python/summary_params_pre_v2.py | 36 ++++++++++++------------- shapepipe/utilities/summary.py | 4 +-- 2 files changed, 20 insertions(+), 20 deletions(-) diff --git a/scripts/python/summary_params_pre_v2.py b/scripts/python/summary_params_pre_v2.py index 71892557a..7c1fc409f 100644 --- a/scripts/python/summary_params_pre_v2.py +++ b/scripts/python/summary_params_pre_v2.py @@ -250,25 +250,25 @@ def set_jobs_v2_pre_v2(patch, verbose): ) # Post-processing - jobs["1024"] = job_data( - "1024", - ["run_sp_combined_final"], - ["make_catalog_runner"], - "tile_IDs", - path_main=path_main, - path_left="output", - verbose=verbose, - ) +# jobs["1024"] = job_data( +# "1024", +# ["run_sp_combined_final"], +# ["make_catalog_runner"], +# "tile_IDs", +# path_main=path_main, +# path_left="output", +# verbose=verbose, +# ) - jobs["2048"] = job_data( - "2048", - "run_sp_combined_psf", - ["psfex_interp_runner"], - "shdus", - path_main=path_main, - path_left="output", - verbose=verbose, - ) +# jobs["2048"] = job_data( +# "2048", +# "run_sp_combined_psf", +# ["psfex_interp_runner"], +# "shdus", +# path_main=path_main, +# path_left="output", +# verbose=verbose, +# ) return jobs, list_tile_IDs_dot diff --git a/shapepipe/utilities/summary.py b/shapepipe/utilities/summary.py index 8500ff0ba..7ba9b9f77 100755 --- a/shapepipe/utilities/summary.py +++ b/shapepipe/utilities/summary.py @@ -225,7 +225,7 @@ def check_special_one(module, path): ngmix_finished = True break - if modeul == "spread_model_runner": + if module == "spread_model_runner": m = re.search("FFT that is too large", line) if m: code = 8 @@ -542,7 +542,7 @@ def output_missing( ID = match.group() IDs.append(ID) else: - msg = f"No ID found in {name}" + msg = f"No ID found in {path}" #raise ValueError(msg) print(f"Warning: {msg}, continuing") From 42f587de8c30e81b4c6a00a8bb40ba9524d6bb58 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Tue, 10 Dec 2024 15:30:01 +0000 Subject: [PATCH 161/217] canfar scripts debug msg --- scripts/sh/init_run_exclusive_canfar.sh | 4 +-- scripts/sh/job_sp_canfar.bash | 2 +- scripts/sh/move_inc_ngmix_to_prev.sh | 39 +++++++++++++++++++++++++ 3 files changed, 42 insertions(+), 3 deletions(-) create mode 100644 scripts/sh/move_inc_ngmix_to_prev.sh diff --git a/scripts/sh/init_run_exclusive_canfar.sh b/scripts/sh/init_run_exclusive_canfar.sh index 4119c48ac..407d88179 100755 --- a/scripts/sh/init_run_exclusive_canfar.sh +++ b/scripts/sh/init_run_exclusive_canfar.sh @@ -139,7 +139,7 @@ function message() { # Init message -message "test=$test" $debug_out -1 +message "test=$test_only" $debug_out -1 if [ "$test_only" == "1" ]; then msg="init_run_exclusive.py script test mode, exiting." ex=0 @@ -350,7 +350,7 @@ if [ $do_job != 0 ] && [ "$sp_local" == "1" ]; then # run local Sp if not done already; works only with mh_local=1; this step needs to be done # before following mh_local=1 steps message "run local sp" $debug_out -1 - command "rm -rf run_sp_GitFeGie*/get_images_runner_run_2" $dry_run + #command "rm -rf run_sp_GitFeGie*/get_images_runner_run_2" $dry_run command "rm -rf run_sp_Gie*" $dry_run command "rm -rf run_sp_exp_Sp*" $dry_run diff --git a/scripts/sh/job_sp_canfar.bash b/scripts/sh/job_sp_canfar.bash index 10522a3d8..66ce02a57 100755 --- a/scripts/sh/job_sp_canfar.bash +++ b/scripts/sh/job_sp_canfar.bash @@ -568,5 +568,5 @@ if [[ $do_job != 0 ]]; then fi if [ "$debug_out" != "-1" ]; then - echo "${pat}End $(basename "$0")" >> $debug_out + echo "${pat}End $(basename "$0") ID=$exclusive success" >> $debug_out fi diff --git a/scripts/sh/move_inc_ngmix_to_prev.sh b/scripts/sh/move_inc_ngmix_to_prev.sh new file mode 100644 index 000000000..0388f6774 --- /dev/null +++ b/scripts/sh/move_inc_ngmix_to_prev.sh @@ -0,0 +1,39 @@ +#!/bin/bash + +inc_path="summary/special_job_128_ngmix_runner_6.txt" + +cat $inc_path | perl -F[-.] -ane 'print "$F[1].$F[2]\n"' > inc.txt + +for ID in `cat inc.txt`; do + src=" tile_runs/$ID/output//run_sp_tile_ngmix_Ng1u" + dst="tile_runs/$ID/output//run_sp_tile_ngmix_Ng1u_prev" + + if [ ! -e $dst ]; then + + # Previous run does not exist: move current to previous run + mv $src $dst + + elif [ ! -e $src ]; then + + # Current does not exit (any more), skipping + echo "$ID no current run found, skipping..." + + else + + size_src=$(stat -c %s $src/ngmix_runner/output/ngmix-*.fits) + size_dst=$(stat -c %s $dst/ngmix_runner/output/ngmix-*.fits) + + echo $size_src $size_dst + if ((size_src > size_dst)); then + # Current output is larger than previous: overwrite + rm -r $dst/ngmix_runner $dst/logs $dst/tmp + mv $src/ngmix_runner $dst + mv $src/logs $dst + mv $src/tmp $dst + else + # Current output is not larger: remove current + rm -r $src + fi + fi + +done From 32f6963f1614eb21abaf7562e2ea0eeca9c424ef Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Tue, 10 Dec 2024 15:30:46 +0000 Subject: [PATCH 162/217] no spread model config file --- example/cfis/config_make_cat_psfex_nosm.ini | 76 +++++++++++++++++++++ 1 file changed, 76 insertions(+) create mode 100644 example/cfis/config_make_cat_psfex_nosm.ini diff --git a/example/cfis/config_make_cat_psfex_nosm.ini b/example/cfis/config_make_cat_psfex_nosm.ini new file mode 100644 index 000000000..1983f91c7 --- /dev/null +++ b/example/cfis/config_make_cat_psfex_nosm.ini @@ -0,0 +1,76 @@ +# ShapePipe post-run configuration file: create final catalogs, with +# no spread model on input + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = True + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_Mc + +# Add date and time to RUN_NAME, optional, default: True +; RUN_DATETIME = False + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = make_cat_runner + +# Parallel processing mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names with length matching FILE_PATTERN +INPUT_DIR = . + +# Output directory +OUTPUT_DIR = ./output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 8 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options + +[MAKE_CAT_RUNNER] + +# Input directory, containing input files, single string or list of names with length matching FILE_PATTERN +INPUT_DIR = run_sp_tile_Sx:sextractor_runner, last:psfex_interp_runner, last:merge_sep_cats_runner + +# Input file pattern(s), list of strings with length matching number of expected input file types +# Cannot contain wild cards +FILE_PATTERN = sexcat, galaxy_psf, ngmix + +# FILE_EXT (optional) list of string extensions to identify input files +FILE_EXT = .fits, .sqlite, .fits + +# Numbering convention, string that exemplifies a numbering pattern. +# Matches input single exposures (with 'p' removed) +# Needs to be given in this section, will be updated in module +# sections below +NUMBERING_SCHEME = -000-000 + +SM_DO_CLASSIFICATION = False + +SHAPE_MEASUREMENT_TYPE = ngmix From 54af3846f32ed3cd1ccc661fceb07d01a7519075 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Tue, 10 Dec 2024 15:30:59 +0000 Subject: [PATCH 163/217] get_special-script --- scripts/python/get_special.py | 20 ++++++++++++++++++++ 1 file changed, 20 insertions(+) create mode 100755 scripts/python/get_special.py diff --git a/scripts/python/get_special.py b/scripts/python/get_special.py new file mode 100755 index 000000000..8948ea504 --- /dev/null +++ b/scripts/python/get_special.py @@ -0,0 +1,20 @@ +#!/usr/bin/env python + +import re + +path = "summary/special_job_128_ngmix_runner_6.txt" +path = "summary/special_job_16_sextractor_runner_7.txt" + +with open(path) as f: + lines = f.readlines() + +for line in lines: + # Regular expression to match the pattern + match = re.search(r'process-(\d+)-(\d+)\.log', line) + + if match: + result = f"{match.group(1)}.{match.group(2)}" + print(result) # Output: 439.250 + else: + print("Pattern not found.") + From bbc547dbffb763645c43b0cfe783df7cc724cd1b Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Tue, 10 Dec 2024 16:34:46 +0100 Subject: [PATCH 164/217] Update deploy-image.yml removed tmp branch in deploy image rule file --- .github/workflows/deploy-image.yml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/.github/workflows/deploy-image.yml b/.github/workflows/deploy-image.yml index 11fad26ac..b4bd7f0e6 100644 --- a/.github/workflows/deploy-image.yml +++ b/.github/workflows/deploy-image.yml @@ -2,7 +2,6 @@ name: Create and publish a Docker image on: push: - branches: ['v1.4_docker'] env: REGISTRY: ghcr.io @@ -36,4 +35,4 @@ jobs: with: push: true tags: ${{ steps.meta.outputs.tags }} - labels: ${{ steps.meta.outputs.labels }} \ No newline at end of file + labels: ${{ steps.meta.outputs.labels }} From e21ead3358521a0b250e9b68945812280d9ae317 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Thu, 12 Dec 2024 13:35:10 +0000 Subject: [PATCH 165/217] hdf5 create script improved, working well now --- scripts/python/create_final_cat.py | 81 ++++++++++++++++++++---------- 1 file changed, 54 insertions(+), 27 deletions(-) diff --git a/scripts/python/create_final_cat.py b/scripts/python/create_final_cat.py index 6c7457672..ffca9473e 100755 --- a/scripts/python/create_final_cat.py +++ b/scripts/python/create_final_cat.py @@ -67,6 +67,7 @@ def params_default(): "hdu_num": 1, "patch": "3", "list_only": False, + "output_summary": "n_tiles_final.txt", } _short_options = { "input_root_dir": "-i", @@ -74,6 +75,7 @@ def params_default(): "param_path": "-p", "patch": "-P", "list_only": "-l", + "output_summary": "-o", } _types = { @@ -86,6 +88,8 @@ def params_default(): "param_path": "parameter file path, if not given use all columns, default={}", "patch": "patch number, default={}", "list_only": "print list of patches and IDs only, default={}", + "output_summary": "output file for numbre of tiles", + } return _params, _short_options, _types, _help_strings @@ -148,12 +152,17 @@ def check_params(params): def print_list(params): + n_tiles = 0 with h5py.File(params["merged_cat_path"], "a") as hdf5_file: for patch in hdf5_file["patches"]: - print(patch) + #print(patch) for id in hdf5_file[f"patches/{patch}"]: - print(f" {id}") + #print(f" {id}") + n_tiles += 1 + + with open(params["output_summary"], "w") as f_out: + print(n_tiles, file=f_out) def process(params): @@ -174,34 +183,35 @@ def process(params): # Iterate over patches for patch in os.listdir(params["input_root_dir"]): - if not patch_pattern.fullmatch(patch): # Skip non-matching entries - #if params["verbose"]: - #print(f"Patch {patch} not found in {params['input_root_dir']}, skipping") - continue + # Skip non-matching entries + if not patch_pattern.fullmatch(patch): + continue + + # Full path to patch patch_path = os.path.join(params["input_root_dir"], patch) - if not os.path.isdir(patch_path): if params["verbose"]: print(f"Path {patch_path} not found, skipping") continue - # Get or create a group for the patch + # Get hdf5 group for this patch if f"patches/{patch}" in hdf5_file: if params["verbose"]: print(f"Processing group {patch}") patch_group = hdf5_file[f"patches/{patch}"] else: + # Create new group if params["verbose"]: print(f"Creating new group for patch {patch}") patch_group = hdf5_file.create_group(f"patches/{patch}") + # Get paths to all tile IDs and loop tile_runs_path = os.path.join(patch_path, "tile_runs") subdirs = os.listdir(tile_runs_path) - for id in tqdm.tqdm(subdirs, total=len(subdirs)): - # Skip if the dataset already exists + # Skip if the patch/ID data already exists if id in patch_group: if params["verbose"]: print(f"Skipping {id} (already processed)") @@ -210,10 +220,26 @@ def process(params): if id_pattern.match(id) and os.path.isdir(os.path.join(tile_runs_path, id)): id_path = os.path.join(tile_runs_path, id) - output_path = os.path.join(id_path, "output", "run_sp_Mc_*", "make_cat_runner", "output", "*.fits") - fits_files = glob.glob(output_path, recursive=True) - for fits_file in fits_files: - + base_pattern = os.path.join(id_path, "output", "run_sp_Mc_*") + all_matches = [d for d in glob.glob(base_pattern) if os.path.isdir(d)] + if not all_matches: + if params["verbose"]: + print(f"Final cat for {id} not found, continuing") + continue + newest_dir = max(all_matches, key=os.path.getmtime) + + #output_path = os.path.join(id_path, "output", "run_sp_Mc_*", "make_cat_runner", "output", "*.fits") + #fits_files = glob.glob(output_path, recursive=True) + id_dash = re.sub("\.", "-", id) + fits_file = f"{newest_dir}/make_cat_runner/output/final_cat-{id_dash}.fits" + + # Exclude unsuccessful run without output FITS file + if not os.path.exists(fits_file): + if params["verbose"]: + print(f"Run without output file found for {id}, skipping") + continue + + if True: # Read data with fits.open(fits_file) as hdul: data = hdul[params["hdu_num"]].data @@ -226,7 +252,7 @@ def process(params): extracted_data = {col: data[col] for col in params["param_list"]} dtype = data.dtype except: - print("Error for ID {id}") + print(f"Error for ID {id}") for col in params["param_list"]: if col not in data: print(col, end=" ") @@ -265,11 +291,15 @@ def process(params): structured_data[col] = extracted_data[col] # Create a new dataset - patch_group.create_dataset( - str(id), - data=structured_data, - dtype=dtype, - ) + try: + patch_group.create_dataset( + str(id), + data=structured_data, + dtype=dtype, + ) + except: + print(f"Error for {id}") + raise def main(argv=None): @@ -280,20 +310,17 @@ def main(argv=None): check_params(params) - if params["list_only"]: - print_list(params) - else: + if params["list_only"] == False: params["param_list"] = read_param_file( params["param_path"], verbose=params["verbose"], ) process(params) + + print_list(params) return 0 if __name__ == "__main__": - sys.exit(main(sys.argv)) - - - + sys.exit(main(sys.argv)) \ No newline at end of file From c55c27e0c6bc71a3ae150f64728314838eaafc3d Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Thu, 12 Dec 2024 13:36:06 +0000 Subject: [PATCH 166/217] fixed bug in stats script (not counting Pending jobs everywhere); stderr output again to /dev/null --- scripts/sh/curl_canfar_local.sh | 16 ++++++++++------ scripts/sh/functions.sh | 7 +++---- scripts/sh/stats_jobs_canfar.sh | 28 +++++++++++++++++++++------- 3 files changed, 34 insertions(+), 17 deletions(-) diff --git a/scripts/sh/curl_canfar_local.sh b/scripts/sh/curl_canfar_local.sh index 0786d8e23..3b732ebc6 100755 --- a/scripts/sh/curl_canfar_local.sh +++ b/scripts/sh/curl_canfar_local.sh @@ -192,6 +192,10 @@ function submit_batch() { } batch=50 +if [ "$batch" -ge "$batch_max" ]; then + ((batch=batch_max/2)) + echo "Reducing batch size to $batch" +fi sleep=75 ((n_thresh=batch_max-batch)) @@ -239,20 +243,20 @@ else echo "Split '$file_IDs' into $n_split batches of size $batch" count=1 - n_running=`stats_jobs_canfar.sh` + n_queued=`stats_jobs_canfar.sh -w all` for batch in $prefix*; do - echo "Number of running jobs = $n_running" + echo "Number of queued jobs = $n_queued" echo "Submitting batch $batch ($count/$n_split)" echo -ne "\033]0;curl patch=$patch job=$job $count/$n_split\007" submit_batch $batch ((count=count+1)) - n_running=`stats_jobs_canfar.sh` + n_queued=`stats_jobs_canfar.sh -w all` - while [ "$n_running" -gt "$n_thresh" ]; do - echo "Wait for #jobs = $n_running jobs to go < $n_thresh ..." + while [ "$n_queued" -gt "$n_thresh" ]; do + echo "Wait for #jobs = $n_queued jobs to go < $n_thresh ..." sleep $sleep - n_running=`stats_jobs_canfar.sh` + n_queued=`stats_jobs_canfar.sh -w all` done done diff --git a/scripts/sh/functions.sh b/scripts/sh/functions.sh index f41415299..58471f341 100644 --- a/scripts/sh/functions.sh +++ b/scripts/sh/functions.sh @@ -34,8 +34,7 @@ function call_curl() { my_arg="-j $my_job -p $my_psf -e $my_ID -N $my_N_SMP -n $my_dry_run -d $my_dir -m $my_mh_local -s $my_sp_local --debug_out $my_debug_out -F $my_fix -S $my_scratch $my_test_arg" if [ "$my_dry_run" == "0" ]; then - - my_session=`curl -E $SSL "$SESSION?$RESOURCES" -d "image=$IMAGE:$version" -d "name=${my_name}" -d "cmd=$cmd_remote" --data-urlencode "args=${my_arg[@]}"` + my_session=`curl -E $SSL "$SESSION?$RESOURCES" -d "image=$IMAGE:$version" -d "name=${my_name}" -d "cmd=$cmd_remote" --data-urlencode "args=${my_arg[@]}" &> /dev/null` fi cmd=("curl" "-E" "$SSL" "$SESSION?$RESOURCES" "-d" "image=$IMAGE:$version" "-d" "name=${my_name}" "-d" "cmd=$cmd_remote" "--data-urlencode" "args=\"${my_arg}\"") @@ -44,7 +43,7 @@ function call_curl() { echo "${pat}call_curl $my_name $my_arg" >> $my_debug_out echo "${pat}Running ${cmd[@]} (dry_run=$my_dry_run)" >> $my_debug_out fi - echo "${cmd[@]} (dry_run=$my_dry_run)" + #echo "${cmd[@]} (dry_run=$my_dry_run)" # Running $cmd does not work due to unknown problems with passing of args @@ -79,7 +78,7 @@ function command () { res=$? if [ "$debug_out" != "-1" ]; then - echo "${pat}exit code = $res" >> $debug_out + echo "${pat}ls = $res" >> $debug_out fi if [ $VERBOSE == 1 ]; then diff --git a/scripts/sh/stats_jobs_canfar.sh b/scripts/sh/stats_jobs_canfar.sh index 2f35ceaaf..de62f8f16 100755 --- a/scripts/sh/stats_jobs_canfar.sh +++ b/scripts/sh/stats_jobs_canfar.sh @@ -21,6 +21,7 @@ SESSION=https://ws-uv.canfar.net/skaha/v0/session ## Default values mode="count" +which="all" debug=0 ## Help string @@ -30,6 +31,8 @@ usage="Usage: $(basename "$0") [OPTIONS] -m, --mode MODE\n \tmode, allowed are 'count' (default), 'delete'\n -d, --debug\n + -w, --which\n + \tallowed are running, pending, all\n " ## Parse command line @@ -43,6 +46,10 @@ while [ $# -gt 0 ]; do mode="$2" shift ;; + -w|--which) + which="$2" + shift + ;; -d|--debug) debug=1 ;; @@ -71,22 +78,29 @@ if [ "$debug" == "1" ]; then echo curl -E $SSL $SESSION exit 0 else - #curl -E $SSL $SESSION &> /dev/null > $tmpfile_jobs - curl -E $SSL $SESSION > $tmpfile_jobs - curl -E $SSL $SESSION - echo "curl -E $SSL $SESSION" + curl -E $SSL $SESSION &> /dev/null > $tmpfile_jobs + #curl -E $SSL $SESSION > $tmpfile_jobs + #curl -E $SSL $SESSION + #echo + #echo "curl -E $SSL $SESSION" fi res=$? if [ "$res" == "0" ]; then # Get headless job IDs - cat $tmpfile_jobs | grep headless -B 4 -A 2 | grep Running -A 1 > $tmpfile_ids + cat $tmpfile_jobs | grep headless -B 4 -A 2 | grep -E 'Running|Pending' -A 1 > $tmpfile_ids # Number of jobs - n_headless=`cat $tmpfile_ids | grep Running | wc -l` + if [ "$which" == "running" ]; then + n_headless=`cat $tmpfile_ids | grep Running | wc -l` + elif [ "$which" == "pending" ]; then + n_headless=`cat $tmpfile_ids | grep Pending | wc -l` + else + n_headless=`cat $tmpfile_ids | grep -E 'Running|Pending' | wc -l` + fi - # Get running job info + # Get running and pending job info cat $tmpfile_ids | grep name | perl -F\- -ane 'chomp; $F[4] =~ s/[",]//g; print "$F[3].$F[4]"' > $tmpfile_running else From c3e9b27286f1508fefe6c09cefbc3b0fc050af07 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Thu, 12 Dec 2024 13:48:02 +0000 Subject: [PATCH 167/217] Warning! Changed get_images_runner input! --- example/cfis/config_tile_Sx_exp_psfex.ini | 2 +- example/cfis/config_tile_Uz.ini | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/example/cfis/config_tile_Sx_exp_psfex.ini b/example/cfis/config_tile_Sx_exp_psfex.ini index 1271eb012..9dc66dd73 100644 --- a/example/cfis/config_tile_Sx_exp_psfex.ini +++ b/example/cfis/config_tile_Sx_exp_psfex.ini @@ -56,7 +56,7 @@ TIMEOUT = 96:00:00 [SEXTRACTOR_RUNNER_RUN_1] -INPUT_MODULE = get_images_runner_run_1, uncompress_fits_runner, mask_runner_run_1 +INPUT_MODULE = get_images_runner_run_1, uncompress_fits_runner, mask_runner_run_2 INPUT_DIR = last:get_images_runner_run_1, last:uncompress_fits_runner, last:mask_runner_run_1 diff --git a/example/cfis/config_tile_Uz.ini b/example/cfis/config_tile_Uz.ini index d501b36ff..31c98bc83 100644 --- a/example/cfis/config_tile_Uz.ini +++ b/example/cfis/config_tile_Uz.ini @@ -53,7 +53,7 @@ TIMEOUT = 96:00:00 ## Module options [UNCOMPRESS_FITS_RUNNER] -INPUT_DIR = last:get_images_runner_run_1 +INPUT_DIR = last:get_images_runner_run_2 #INPUT_DIR = last:get_images_runner FILE_PATTERN = CFIS_weight From 5ebbfbaf15d18cbf3157494576452674aae2c632 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Wed, 18 Dec 2024 08:04:00 +0000 Subject: [PATCH 168/217] remove SPREAD_MODEL params from final cat (some runs are without) --- example/cfis/final_cat.param | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/example/cfis/final_cat.param b/example/cfis/final_cat.param index a70de962d..eae7a2c04 100644 --- a/example/cfis/final_cat.param +++ b/example/cfis/final_cat.param @@ -15,11 +15,11 @@ NGMIX_MCAL_FLAGS NGMIX_ELL_PSFo_NOSHEAR # spread class -SPREAD_CLASS +#SPREAD_CLASS # spread model flag and error -SPREAD_MODEL -SPREADERR_MODEL +#SPREAD_MODEL +#SPREADERR_MODEL # Number of epochs (exposures) N_EPOCH From 3b1b72ebf2bd0fe8122dcafb18a33805a802abc3 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Wed, 18 Dec 2024 08:04:50 +0000 Subject: [PATCH 169/217] --sm option (SPREAD_MODEL on/off) --- scripts/sh/curl_canfar_local.sh | 15 +++++++++++---- scripts/sh/functions.sh | 16 ++++++++++------ scripts/sh/init_run_exclusive_canfar.sh | 9 ++++++++- scripts/sh/job_sp_canfar.bash | 16 +++++++++++++++- 4 files changed, 44 insertions(+), 12 deletions(-) diff --git a/scripts/sh/curl_canfar_local.sh b/scripts/sh/curl_canfar_local.sh index 3b732ebc6..9722eddb5 100755 --- a/scripts/sh/curl_canfar_local.sh +++ b/scripts/sh/curl_canfar_local.sh @@ -26,6 +26,7 @@ sp_local=0 test_only=0 debug_out="-1" scratch="-1" +sm=1 pat="- " @@ -44,6 +45,8 @@ usage="Usage: $(basename "$0") -j JOB -[e ID |-f file_IDs] -k KIND [OPTIONS] \tmerged header file local (MH=0) or global (MH=1); default is $mh_local\n -s, --sp_local SP\n \tsplit local run local (SP=1) or global (SP=0); default is SP=$sp_local\n + --sm SM\n + \tWith (SM=1; default) or without (SM=0) spread model input\n -N, --N_SMP N_SMOp\n \tnumber of jobs (SMP mode only), default=$N_SMP\n -F, --fix FIX\n @@ -93,6 +96,10 @@ while [ $# -gt 0 ]; do sp_local="$2" shift ;; + --sm) + sm="$2" + shift + ;; -e|--exclusive) ID="$2" shift @@ -187,7 +194,7 @@ function submit_batch() { for ID in `cat $path`; do IDt=`echo $ID | tr "." "-"` my_name="SP-${patch}-J${job}-${IDt}" - call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $debug_out $fix $scratch $test_arg + call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $sm $debug_out $fix $scratch $test_arg done } @@ -213,7 +220,7 @@ if [ "$dry_run" == 2 ]; then for ID in `cat $file_IDs`; do IDt=`echo $ID | tr "." "-"` my_name="SP-${patch}-J${job}-${IDt}" - call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $debug_out $fix $scratch $test_arg + call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $sm $debug_out $fix $scratch $test_arg done else @@ -221,7 +228,7 @@ if [ "$dry_run" == 2 ]; then # Submit image (dry run = 2) IDt=`echo $ID | tr "." "-"` my_name="SP-${patch}-J${job}-${IDt}" - call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $debug_out $fix $scratch $test_arg + call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $sm $debug_out $fix $scratch $test_arg fi @@ -274,7 +281,7 @@ else # Submit image IDt=`echo $ID | tr "." "-"` my_name="SP-${patch}-J${job}-${IDt}" - call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $debug_out $fix $scratch $test_arg + call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $sm $debug_out $fix $scratch $test_arg fi diff --git a/scripts/sh/functions.sh b/scripts/sh/functions.sh index 58471f341..324864f26 100644 --- a/scripts/sh/functions.sh +++ b/scripts/sh/functions.sh @@ -26,12 +26,13 @@ function call_curl() { my_dir=$7 my_mh_local=$8 my_sp_local=$9 - my_debug_out=${10} - my_fix=${11} - my_scratch=${12} - my_test_arg=${13} + my_sm=${10} + my_debug_out=${11} + my_fix=${12} + my_scratch=${13} + my_test_arg=${14} - my_arg="-j $my_job -p $my_psf -e $my_ID -N $my_N_SMP -n $my_dry_run -d $my_dir -m $my_mh_local -s $my_sp_local --debug_out $my_debug_out -F $my_fix -S $my_scratch $my_test_arg" + my_arg="-j $my_job -p $my_psf -e $my_ID -N $my_N_SMP -n $my_dry_run -d $my_dir -m $my_mh_local -s $my_sp_local --sm $my_sm --debug_out $my_debug_out -F $my_fix -S $my_scratch $my_test_arg" if [ "$my_dry_run" == "0" ]; then my_session=`curl -E $SSL "$SESSION?$RESOURCES" -d "image=$IMAGE:$version" -d "name=${my_name}" -d "cmd=$cmd_remote" --data-urlencode "args=${my_arg[@]}" &> /dev/null` @@ -78,7 +79,7 @@ function command () { res=$? if [ "$debug_out" != "-1" ]; then - echo "${pat}ls = $res" >> $debug_out + echo "${pat}result=$res" >> $debug_out fi if [ $VERBOSE == 1 ]; then @@ -88,6 +89,9 @@ function command () { echo -e "${RED}error, return value = $res${NC}" if [ $STOP == 1 ]; then echo "${RED}exiting $(basename "$0")', error in command '$cmd'${NC}" + if [ "$debug_out" != "-1" ]; then + echo "${pat}${RED}exiting $(basename "$0")', error in command '$cmd'${NC}" >> $debug_out + fi exit $res else echo "${RED}continuing '$(basename "$0")', error in command '$cmd'${NC}" diff --git a/scripts/sh/init_run_exclusive_canfar.sh b/scripts/sh/init_run_exclusive_canfar.sh index 407d88179..815dc5851 100755 --- a/scripts/sh/init_run_exclusive_canfar.sh +++ b/scripts/sh/init_run_exclusive_canfar.sh @@ -13,6 +13,7 @@ debug_out=-1 scratch=-1 fix=0 test_only=0 +sm=1 # mh_local is 0 (1) if merge_header_runner is run on all exposures, # which is standard so far (run on exposures of given tile only; new) @@ -39,6 +40,8 @@ usage="Usage: $(basename "$0") -j JOB -e ID -k KIND [OPTIONS] \tmerge header file local (MH=1) or global (MH=0); default is $mh_local\n -s, --sp_local SP\n \tsplit local run local (SP=1) or global (SP=r0wwdefault is $sp_local\n + --sm SM\n + \tWith (SM=1; default) or without (SM=0) spread model input\n -N, --N_SMP N_SMOp\n \tnumber of jobs (SMP mode only), default from original config files\n -d, --directory\n @@ -88,6 +91,10 @@ while [ $# -gt 0 ]; do sp_local="$2" shift ;; + --sm) + sm="$2" + shift + ;; -N|--N_SMP) N_SMP="$2" shift @@ -538,7 +545,7 @@ if [ "$scratch" != "-1" ]; then command "cd $scratch/${kind}_runs/$ID" $dry_run fi -command "job_sp_canfar.bash -p psfex -j $job -e $ID --n_smp $N_SMP --nsh_jobs $N_SMP --debug_out $debug_out " $dry_run +command "job_sp_canfar.bash -p psfex -j $job -e $ID --n_smp $N_SMP --nsh_jobs $N_SMP --debug_out $debug_out --sm $sm " $dry_run if [ "$scratch" != "-1" ]; then cd ../.. diff --git a/scripts/sh/job_sp_canfar.bash b/scripts/sh/job_sp_canfar.bash index 66ce02a57..54036c932 100755 --- a/scripts/sh/job_sp_canfar.bash +++ b/scripts/sh/job_sp_canfar.bash @@ -22,6 +22,7 @@ results='cosmostat/kilbinger/results_v2' n_smp=-1 nsh_jobs=8 debug_out=-1 +sm=1 pat="--- " @@ -48,6 +49,8 @@ usage="Usage: $(basename "$0") [OPTIONS] [TILE_ID] -s, --star_cat_for_mask\n \tcatalogue for masking bright stars, allowed are 'onthefly', 'save',\n \tdefault is '${star_cat_for_mask}'\n + --sm SM\n + \tWith (SM=1; default) or without (SM=0) spread model input\n -e, --exclusive ID\n \texclusive input filer number string ID (default: None)\n -o, --output_dir\n @@ -96,6 +99,10 @@ while [ $# -gt 0 ]; do star_cat_for_mask="$2" shift ;; + --sm) + sm="$2" + shift + ;; -e|--exclusive) exclusive="$2" shift @@ -546,9 +553,16 @@ fi (( do_job = $job & 512 )) if [[ $do_job != 0 ]]; then + # spread_model suffix for config file with or without SM input + if [ "$sm" == "0" ]; then + suff_sm="_nosm" + else + suff_sm="" + fi + ### Merge all relevant information into final catalogue command_cfg_shapepipe \ - "config_make_cat_$psf.ini" \ + "config_make_cat_$psf${suff_sm}.ini" \ "Run shapepipe (tile: create final cat $psf)" \ $n_smp \ $exclusive From 73dda618bf8f3219969de9c2bcb2eedaa3ab7d0c Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Wed, 18 Dec 2024 08:06:12 +0000 Subject: [PATCH 170/217] Uz Git input changed batk --- example/cfis/config_tile_Uz.ini | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/example/cfis/config_tile_Uz.ini b/example/cfis/config_tile_Uz.ini index 31c98bc83..d501b36ff 100644 --- a/example/cfis/config_tile_Uz.ini +++ b/example/cfis/config_tile_Uz.ini @@ -53,7 +53,7 @@ TIMEOUT = 96:00:00 ## Module options [UNCOMPRESS_FITS_RUNNER] -INPUT_DIR = last:get_images_runner_run_2 +INPUT_DIR = last:get_images_runner_run_1 #INPUT_DIR = last:get_images_runner FILE_PATTERN = CFIS_weight From ad2a6c487e40aea64c8b5cb5deff83760042799b Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Wed, 18 Dec 2024 08:06:28 +0000 Subject: [PATCH 171/217] added single_ID options --- scripts/python/create_final_cat.py | 206 +++++++++++++++++++++++------ 1 file changed, 163 insertions(+), 43 deletions(-) diff --git a/scripts/python/create_final_cat.py b/scripts/python/create_final_cat.py index ffca9473e..ca3583322 100755 --- a/scripts/python/create_final_cat.py +++ b/scripts/python/create_final_cat.py @@ -68,6 +68,8 @@ def params_default(): "patch": "3", "list_only": False, "output_summary": "n_tiles_final.txt", + "ID": None, + "single_op": None, } _short_options = { "input_root_dir": "-i", @@ -76,10 +78,10 @@ def params_default(): "patch": "-P", "list_only": "-l", "output_summary": "-o", - + "single_op": "-s", } - _types = { - "hdu_num": "int", + _types = { + "hdu_num": "int", "list_only": "bool", } _help_strings = { @@ -88,8 +90,9 @@ def params_default(): "param_path": "parameter file path, if not given use all columns, default={}", "patch": "patch number, default={}", "list_only": "print list of patches and IDs only, default={}", - "output_summary": "output file for numbre of tiles", - + "output_summary": "output file for numbre of tiles, default={}", + "ID": "ID for single-ID operation, default={}", + "single_op": "single ID operation, allowed are 'check', 'add', 'remove'; default={}", } return _params, _short_options, _types, _help_strings @@ -146,25 +149,150 @@ def read_param_file(path, verbose=False): def check_params(params): - + + if bool(params["ID"] is None) != bool(params["single_op"] is None): + print("Both or none of the ptions 'ID' and 'single_op' need to be specified") + return False + return True +def remove_ID(merged_cat_path, ID, verbose=False): + """Remove ID. + + Remove ID from merged catalogue file. + + Parameters + ---------- + merged_cat_path : str + catalogue hdf5 file path + ID : str + tile ID + verbose : bool, optional + verbose output if True + + """ + # First check ID + patch_found = check_ID(merged_cat_path, ID, verbose=False) + if not patch_found: + raise KeyError(f"ID {ID} not found in file {merged_cat_path}") + + with h5py.File(merged_cat_path, "a") as hdf5_file: + + patch_group = get_patch_group(hdf5_file, patch_found, verbose=verbose) + del patch_group[ID] + if verbose: + print(f"Removed {patch_found}/{ID}.") + + +def check_ID(merged_cat_path, ID, verbose=False): + """Check ID. + + Check whether ID exists in merged catalogue file. + + Parameters + ---------- + merged_cat_path : str + catalogue hdf5 file path + ID : str + tile ID + verbose : bool, optional + verbose output if True + + Returns + ------- + str + patch of ID; "" if not found + + """ + with h5py.File(merged_cat_path, "r") as hdf5_file: + for patch in hdf5_file["patches"]: + for id in hdf5_file[f"patches/{patch}"]: + if id == ID: + if verbose: + print(f"ID {ID} found under patch {patch}") + return patch + if verbose: + print(f"ID {ID} not found") + return "" + + def print_list(params): n_tiles = 0 - with h5py.File(params["merged_cat_path"], "a") as hdf5_file: + with h5py.File(params["merged_cat_path"], "r") as hdf5_file: for patch in hdf5_file["patches"]: #print(patch) for id in hdf5_file[f"patches/{patch}"]: - #print(f" {id}") n_tiles += 1 with open(params["output_summary"], "w") as f_out: print(n_tiles, file=f_out) +def get_patch_group(hdf5_file, patch, verbose=False): + """Get Patch group. + + Return group from hdf5 file for a given patch. + + Parameters + ---------- + hdf5_file : class h5py.File + input hdf5 file + patch : str + patch name + verbose : bool, optional + verbose output if ``True``; default is ``False`` + + Returns + ------- + h5py.Group + group for given patch + + """ + if f"patches/{patch}" in hdf5_file: + if verbose: + print(f"Processing group {patch}") + patch_group = hdf5_file[f"patches/{patch}"] + else: + # Create new group + if verbose: + print(f"Creating new group for patch {patch}") + patch_group = hdf5_file.create_group(f"patches/{patch}") + + return patch_group + + +def read_data(fits_file, params): + """Read Data. + + """ + with fits.open(fits_file) as hdu_list: + try: + data = hdu_list[params["hdu_num"]].data + except: + print(f"Error with ID {id}, file{fits_file}") + raise + + # If columns not given on input: read all column names + if params["param_list"] is None: + params["param_list"] = [col for col in data.keys()] + + try: + extracted_data = {col: data[col] for col in params["param_list"]} + dtype = data.dtype + except: + print(f"Error for ID {id}, path {fits_file}") + for col in params["param_list"]: + if col not in data: + print(col, end=" ") + print() + continue + + return extracted_data, dtype + + def process(params): patch = rf"P{params['patch']}" @@ -175,6 +303,8 @@ def process(params): # Regex pattern for tile IDs id_pattern = re.compile(r"^\d+\.\d+$") + + n_added = 0 # Open the HDF5 file (create it if it doesn't exist) if params["verbose"]: @@ -196,16 +326,8 @@ def process(params): continue # Get hdf5 group for this patch - if f"patches/{patch}" in hdf5_file: - if params["verbose"]: - print(f"Processing group {patch}") - patch_group = hdf5_file[f"patches/{patch}"] - else: - # Create new group - if params["verbose"]: - print(f"Creating new group for patch {patch}") - patch_group = hdf5_file.create_group(f"patches/{patch}") - + patch_group = get_patch_group(hdf5_file, patch, params["verbose"]) + # Get paths to all tile IDs and loop tile_runs_path = os.path.join(patch_path, "tile_runs") subdirs = os.listdir(tile_runs_path) @@ -228,8 +350,6 @@ def process(params): continue newest_dir = max(all_matches, key=os.path.getmtime) - #output_path = os.path.join(id_path, "output", "run_sp_Mc_*", "make_cat_runner", "output", "*.fits") - #fits_files = glob.glob(output_path, recursive=True) id_dash = re.sub("\.", "-", id) fits_file = f"{newest_dir}/make_cat_runner/output/final_cat-{id_dash}.fits" @@ -240,27 +360,9 @@ def process(params): continue if True: - # Read data - with fits.open(fits_file) as hdul: - data = hdul[params["hdu_num"]].data - - # If columns not given on input: read all column names - if params["param_list"] is None: - params["param_list"] = [col for col in data.keys()] - - try: - extracted_data = {col: data[col] for col in params["param_list"]} - dtype = data.dtype - except: - print(f"Error for ID {id}") - for col in params["param_list"]: - if col not in data: - print(col, end=" ") - print() - continue - - # For columns with 2-entry quantities, ensure proper dtype - #dtype = [] + extracted_data, dtype = read_data(fits_file, params) + + # Initialize new data structure structured_data = np.empty( len(extracted_data[params["param_list"][0]]), dtype=dtype, @@ -298,9 +400,13 @@ def process(params): dtype=dtype, ) except: - print(f"Error for {id}") + print(f"Error for {id}: Could not create dataset in group {patch}") raise + n_added += 1 + + return n_added + def main(argv=None): @@ -310,6 +416,20 @@ def main(argv=None): check_params(params) + if params["single_op"] == "check": + # Check wheter ID is part of hdf5 file + found = check_ID(params["merged_cat_path"], params["ID"], verbose=params["verbose"]) + if found == "": + # ID not found + return 1 + # ID found + return 0 + + elif params["single_op"] == "remove": + # Remove ID + remove_ID(params["merged_cat_path"], params["ID"], verbose=params["verbose"]) + return 0 + if params["list_only"] == False: params["param_list"] = read_param_file( params["param_path"], @@ -323,4 +443,4 @@ def main(argv=None): if __name__ == "__main__": - sys.exit(main(sys.argv)) \ No newline at end of file + sys.exit(main(sys.argv)) From 4c3acf1187ab6b2ab469ed52eefb9d9e513d403d Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Wed, 18 Dec 2024 08:06:51 +0000 Subject: [PATCH 172/217] script changes --- scripts/python/get_special.py | 9 +++++++-- scripts/sh/remove_duplicates_tiles.sh | 6 +++--- 2 files changed, 10 insertions(+), 5 deletions(-) mode change 100644 => 100755 scripts/sh/remove_duplicates_tiles.sh diff --git a/scripts/python/get_special.py b/scripts/python/get_special.py index 8948ea504..9f54eed48 100755 --- a/scripts/python/get_special.py +++ b/scripts/python/get_special.py @@ -1,9 +1,14 @@ #!/usr/bin/env python import re +import sys -path = "summary/special_job_128_ngmix_runner_6.txt" -path = "summary/special_job_16_sextractor_runner_7.txt" +path = sys.argv[1] + +#path = "summary/special_job_128_ngmix_runner_6.txt" +#path = "summary/special_job_16_sextractor_runner_7.txt" + +print(f"Get special from {path}", file=sys.stderr) with open(path) as f: lines = f.readlines() diff --git a/scripts/sh/remove_duplicates_tiles.sh b/scripts/sh/remove_duplicates_tiles.sh old mode 100644 new mode 100755 index 2c7748238..6ff7fec21 --- a/scripts/sh/remove_duplicates_tiles.sh +++ b/scripts/sh/remove_duplicates_tiles.sh @@ -2,12 +2,12 @@ count=0 for dir in tile_runs/*; do - if compgen -G "$dir/output//run_sp_tile_PsViSmVi*" > /dev/null; then - n=`ls -rdtl $dir/output/run_sp_tile_PsViSmVi* | wc -l` + if compgen -G "$dir/output/run_sp_Mc_*" > /dev/null; then + n=`ls -rdtl $dir/output/run_sp_Mc_* | wc -l` if [ "$n" != "2" ]; then ((n_remove=n-1)) echo $dir $n $n_remove - rm -rf `ls -rdt1 $dir/output/run_sp_tile_PsViSmVi* | head -n $n_remove` + rm -rf `ls -rdt1 $dir/output/run_sp_Mc_* | head -n $n_remove` (count=(count+1)) fi fi From 79fd70e212f7a0ddc04e884025cf41946d78e961 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Sun, 29 Dec 2024 11:38:42 +0000 Subject: [PATCH 173/217] added script to prepare patch for sp_val run --- scripts/sh/prepare_patch_for_spval.sh | 22 ++++++++++++++++++++++ 1 file changed, 22 insertions(+) create mode 100755 scripts/sh/prepare_patch_for_spval.sh diff --git a/scripts/sh/prepare_patch_for_spval.sh b/scripts/sh/prepare_patch_for_spval.sh new file mode 100755 index 000000000..6a865c898 --- /dev/null +++ b/scripts/sh/prepare_patch_for_spval.sh @@ -0,0 +1,22 @@ +#!/usr/bin/env bash + +patch=$1 + +spdir=$HOME/astro/repositories/github/sp_validation + +# Galaxy catalogue +mv ~/psfex/final_cat_${patch}.hdf5 . + +# Star catalogue +ln -s $HOME/psfex/$patch/output/run_sp_Ms/merge_starcat_runner/output/full_starcat-0000000.fits + +# Parameter file +cp $spdir/notebooks/params.py . + +# nb/python script +ln -s $spdir/notebooks/validation.py + +# Tile number list +ln -s ~/shapepipe/auxdir/CFIS/tiles_202106/tiles_${patch}.txt + +echo "Change patch in params.py" From 9c8063c6a7486a97118f10f58f67047ed8e38429 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Sun, 29 Dec 2024 11:40:03 +0000 Subject: [PATCH 174/217] updated for for new create final hdf4 script --- docs/source/pipeline_canfar.md | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/docs/source/pipeline_canfar.md b/docs/source/pipeline_canfar.md index 9f867b85e..9bb71334d 100644 --- a/docs/source/pipeline_canfar.md +++ b/docs/source/pipeline_canfar.md @@ -116,8 +116,9 @@ combine_runs.bash -c final -p psfex # Merge all final cats # (W3: 140GB RAM) -merge_final_cat -i output/run_sp_combined_final/make_catalog_runner/output -p cfis/final_cat.param -v - +# in /path/to/$psf +patchnum=`tr $patch P ''` +create_final_cat.py -m /scratch/final_cat_$patch.hdf5 -i . -p $patch/cfis/final_cat.param -P $patchnum -o $patch/n_tiles_final.txt -v # Star catalogue combine_runs.bash -p $psf -c psf @@ -151,4 +152,4 @@ cat all.txt | xargs -P 16 -n 1 init_run_exclusive_canfar.sh -j 64 -p psfex -n - ## Get missing jobs that are not currently running stats_jobs_canfar.sh -grep -F -v -f jobs_running.txt summary/missing_job_128_ngmix_runner_3.txt > all3.txt +grep -F -v -f jobs_running.txt summary/missing_job_128_ngmix_runner_3.txt > all3.txth/th/ From c2512b89bf651f992e6cf8abf071706fd56682db Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Sun, 29 Dec 2024 11:40:57 +0000 Subject: [PATCH 175/217] canfar run scripts: added -R RAM option; fixed bugs in communicating argunents --- scripts/sh/curl_canfar_local.sh | 21 ++++++++++------ scripts/sh/functions.sh | 12 +++++---- scripts/sh/job_sp_canfar.bash | 43 +++++++++++++++++---------------- 3 files changed, 43 insertions(+), 33 deletions(-) diff --git a/scripts/sh/curl_canfar_local.sh b/scripts/sh/curl_canfar_local.sh index 9722eddb5..1be50e8a8 100755 --- a/scripts/sh/curl_canfar_local.sh +++ b/scripts/sh/curl_canfar_local.sh @@ -16,6 +16,7 @@ psf="psfex" ID=-1 file_IDs=-1 N_SMP=1 +RAM=4 fix=0 version="1.1" cmd_remote="$HOME/shapepipe/scripts/sh/init_run_exclusive_canfar.sh" @@ -47,8 +48,10 @@ usage="Usage: $(basename "$0") -j JOB -[e ID |-f file_IDs] -k KIND [OPTIONS] \tsplit local run local (SP=1) or global (SP=0); default is SP=$sp_local\n --sm SM\n \tWith (SM=1; default) or without (SM=0) spread model input\n - -N, --N_SMP N_SMOp\n + -N, --N_SMP N_SMP\n \tnumber of jobs (SMP mode only), default=$N_SMP\n + -R, --RAM RAM\n + \tRAM in Gb, default=$RAM\n -F, --fix FIX\n \tfix missing data (re-download tile, unzip) for FIX=1; default is $fix\ -V, --version\n @@ -112,6 +115,10 @@ while [ $# -gt 0 ]; do N_SMP="$2" shift ;; + -R|--RAM) + RAM="$2" + shift + ;; -F|--fix) fix="$2" shift @@ -184,7 +191,7 @@ fi # collect into string -RESOURCES="ram=4&cores=$N_SMP" +RESOURCES="ram=${RAM}&cores=$N_SMP" dir=`pwd` @@ -194,11 +201,11 @@ function submit_batch() { for ID in `cat $path`; do IDt=`echo $ID | tr "." "-"` my_name="SP-${patch}-J${job}-${IDt}" - call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $sm $debug_out $fix $scratch $test_arg + call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $sm $debug_out $fix $scratch $version $cmd_remote $RESOURCES $test_arg done } -batch=50 +batch=30 if [ "$batch" -ge "$batch_max" ]; then ((batch=batch_max/2)) echo "Reducing batch size to $batch" @@ -220,7 +227,7 @@ if [ "$dry_run" == 2 ]; then for ID in `cat $file_IDs`; do IDt=`echo $ID | tr "." "-"` my_name="SP-${patch}-J${job}-${IDt}" - call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $sm $debug_out $fix $scratch $test_arg + call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $sm $debug_out $fix $scratch $version $cmd_remote $RESOURCES $test_arg done else @@ -228,7 +235,7 @@ if [ "$dry_run" == 2 ]; then # Submit image (dry run = 2) IDt=`echo $ID | tr "." "-"` my_name="SP-${patch}-J${job}-${IDt}" - call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $sm $debug_out $fix $scratch $test_arg + call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $sm $debug_out $fix $scratch $version $cmd_remote $RESOURCES $test_arg fi @@ -281,7 +288,7 @@ else # Submit image IDt=`echo $ID | tr "." "-"` my_name="SP-${patch}-J${job}-${IDt}" - call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $sm $debug_out $fix $scratch $test_arg + call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $sm $debug_out $fix $scratch $version $cmd_remote $RESOURCES $test_arg fi diff --git a/scripts/sh/functions.sh b/scripts/sh/functions.sh index 324864f26..1694e89d5 100644 --- a/scripts/sh/functions.sh +++ b/scripts/sh/functions.sh @@ -4,8 +4,6 @@ SESSION=https://ws-uv.canfar.net/skaha/v0/session IMAGE=images.canfar.net/unions/shapepipe NAME=shapepipe -version="1.1" -cmd_remote="$HOME/shapepipe/scripts/sh/init_run_exclusive_canfar.sh" pat="---- " STOP=0 @@ -30,18 +28,22 @@ function call_curl() { my_debug_out=${11} my_fix=${12} my_scratch=${13} - my_test_arg=${14} + my_version=${14} + my_cmd_remote=${15} + my_resources=${16} + my_test_arg=${17} my_arg="-j $my_job -p $my_psf -e $my_ID -N $my_N_SMP -n $my_dry_run -d $my_dir -m $my_mh_local -s $my_sp_local --sm $my_sm --debug_out $my_debug_out -F $my_fix -S $my_scratch $my_test_arg" if [ "$my_dry_run" == "0" ]; then - my_session=`curl -E $SSL "$SESSION?$RESOURCES" -d "image=$IMAGE:$version" -d "name=${my_name}" -d "cmd=$cmd_remote" --data-urlencode "args=${my_arg[@]}" &> /dev/null` + my_session=`curl -E $SSL "$SESSION?${my_resources}" -d "image=$IMAGE:${my_version}" -d "name=${my_name}" -d "cmd=${my_cmd_remote}" --data-urlencode "args=${my_arg[@]}" &> /dev/null` fi - cmd=("curl" "-E" "$SSL" "$SESSION?$RESOURCES" "-d" "image=$IMAGE:$version" "-d" "name=${my_name}" "-d" "cmd=$cmd_remote" "--data-urlencode" "args=\"${my_arg}\"") + cmd=("curl" "-E" "$SSL" "$SESSION?${my_resources}" "-d" "image=$IMAGE:${my_version}" "-d" "name=${my_name}" "-d" "cmd=${my_cmd_remote}" "--data-urlencode" "args=\"${my_arg}\"") if [ "$my_debug_out" != "-1" ]; then echo "${pat}call_curl $my_name $my_arg" >> $my_debug_out + echo "${pat}curl options v=${my_version} cmd=${my_cmd_remote} res=${my_resources}" >> $my_debug_out echo "${pat}Running ${cmd[@]} (dry_run=$my_dry_run)" >> $my_debug_out fi #echo "${cmd[@]} (dry_run=$my_dry_run)" diff --git a/scripts/sh/job_sp_canfar.bash b/scripts/sh/job_sp_canfar.bash index 54036c932..21ad6d620 100755 --- a/scripts/sh/job_sp_canfar.bash +++ b/scripts/sh/job_sp_canfar.bash @@ -39,7 +39,8 @@ usage="Usage: $(basename "$0") [OPTIONS] [TILE_ID] \t 32: processing of stars on exposures (offline)\n \t 64: galaxy selection on tiles (offline)\n \t 128: shapes and morphology (offline)\n - \t 256: paste catalogues (offline)\n + \t 256: merge separate ngmix catalogues (offline)\n + \t 512: create joint catalogues (offline)\n -c, --config_dir DIR\n \t config file directory, default='$config_dir'\n -p, --psf MODEL\n @@ -194,17 +195,12 @@ function command () { RED='\033[0;31m' GREEN='\033[0;32m' NC='\033[0m' # No Color - # Color escape characters show up in log files - #RED='' - #GREEN='' - #NC='' - if [ "$debug_out" != "-1" ]; then echo "${pat}pwd = `pwd`" >> $debug_out echo "${pat}SP_RUN = $SP_RUN" >> $debug_out echo "${pat}SP_CONFIG = $SP_CONFIG" >> $debug_out - fi + fi if [ $# == 2 ]; then if [ $VERBOSE == 1 ]; then @@ -225,7 +221,6 @@ function command () { fi $cmd $4 "$5 $6" - fi res=$? @@ -249,29 +244,34 @@ function command () { fi } -# Run shapepipe command. If error occurs, upload sp log files before stopping script. -function command_sp() { + +# Run shapepipe command. +function command_sp () { local cmd=$1 local str=$2 + local _exclusive=$3 + + if [ "$_exclusive" != "" ]; then + cmd="$cmd -e $_exclusive" + fi - command "$1" "$2" + command "$cmd" "$str" } # Set up config file and call shapepipe_run -function command_cfg_shapepipe() { +function command_cfg_shapepipe () { local config_name=$1 local str=$2 local _n_smp=$3 local _exclusive=$4 - if [ "$exclusive" != "" ]; then + if [ "$_exclusive" != "" ]; then exclusive_flag="-e $_exclusive" else exclusive_flag="" fi config_upd=$(set_config_n_smp $config_name $_n_smp) - #local cmd="/arc/home/kilbinger/.conda/envs/shapepipe/bin/shapepipe_run -c $config_upd $exclusive_flag" local cmd="shapepipe_run -c $config_upd $exclusive_flag" command_sp "$cmd" "$str" } @@ -347,8 +347,6 @@ cd $SP_RUN mkdir -p $OUTPUT mkdir -p $SP_CONFIG_MOD -# Processing - ### Retrieve config files if [[ $config_dir == *"vos:"* ]]; then @@ -509,6 +507,7 @@ if [[ $do_job != 0 ]]; then # if output dir for subrun exists but no output: re-run ngmix_run=$OUTPUT/"run_sp_tile_ngmix_Ng${k}u/ngmix_runner" + if [ -e "$ngmix_run" ]; then ngmix_out="$ngmix_run/output" n_out=`ls -rlt $ngmix_out | wc -l` @@ -518,14 +517,16 @@ if [[ $do_job != 0 ]]; then "Re-running existing empty ngmix subrun $k" command_sp \ "shapepipe_run -c $SP_CONFIG_MOD/config_tile_Ng${k}u.ini" \ - "Run shapepipe (tile: ngmix $k)" & + "Run shapepipe (tile: ngmix $k)" \ + $exclusive & else echo "Skipping existing non-empty ngmix subrun $k" fi else command_sp \ "shapepipe_run -c $SP_CONFIG_MOD/config_tile_Ng${k}u.ini" \ - "Run shapepipe (tile: ngmix $k)" & + "Run shapepipe (tile: ngmix $k)" \ + $exclusive & fi done wait @@ -543,11 +544,11 @@ if [[ $do_job != 0 ]]; then > $SP_CONFIG_MOD/config_merge_sep_cats.ini ### Merge separated shapes catalogues - command_sp \ + command_cfg_shapepipe \ "shapepipe_run -c $SP_CONFIG_MOD/config_merge_sep_cats.ini" \ "Run shapepipe (tile: merge sep cats)" \ - "$VERBOSE" \ - "$ID" + $n_smp \ + $exclusive fi (( do_job = $job & 512 )) From bc8eeebec493366ecae156fb865b584b598bc9bb Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Sun, 29 Dec 2024 11:41:49 +0000 Subject: [PATCH 176/217] cleaned up create final hdf5 script --- scripts/python/create_final_cat.py | 126 ++++++++++++++++++----------- 1 file changed, 80 insertions(+), 46 deletions(-) diff --git a/scripts/python/create_final_cat.py b/scripts/python/create_final_cat.py index ca3583322..059d91f8b 100755 --- a/scripts/python/create_final_cat.py +++ b/scripts/python/create_final_cat.py @@ -1,7 +1,5 @@ #!/usr/bin/env python -# -*- coding: utf-8 -*- - """Script create_final_cat.py Create and update hdf5 file of all final ShapePipe output FITS files, runs of @@ -100,6 +98,7 @@ def params_default(): def read_param_file(path, verbose=False): """Read Param File. + MKDEBUG TODO: Move to cs_util. Also used in sp_val/cat.py. Return parameter list read from file. @@ -133,9 +132,9 @@ def read_param_file(path, verbose=False): if verbose: if len(param_list) > 0: - print(f"Copying {len(param_list)} columns", end="") + print(f"Read {len(param_list)} columns", end="") else: - print("Copying all columns", end="") + print("No parameters read", end="") print(" into merged catalogue") param_list_unique = list(set(param_list)) @@ -288,11 +287,45 @@ def read_data(fits_file, params): if col not in data: print(col, end=" ") print() - continue + continue return extracted_data, dtype +def copy_data(param_list, extracted_data, dtype): + """Copy Data. + + """ + # Initialize new data structure + structured_data = np.empty( + len(extracted_data[param_list[0]]), + dtype=dtype, + ) + + # Loop over parameters + for col in param_list: + if not col in extracted_data: + print(f"Column {col} not in file with ID {id}") + structured_data[col] = extracted_data[col] + + #if isinstance(extracted_data[col][0], (np.ndarray, tuple, list)): + if False: + + # If multi-entry loop over entries + print(col) + num_elements = len(extracted_data[col][0]) + for idx in range(num_elements): + new_col_name = f"{col}_{idx}" + dtype.append((new_col_name, extracted_data[col].dtype)) + try: + structured_data[new_col_name] = [x[idx] for x in extracted_data[col]] + except: + print(f"Error for ID {id} for column {new_col_name}") + raise + + return structured_data + + def process(params): patch = rf"P{params['patch']}" @@ -361,36 +394,8 @@ def process(params): if True: extracted_data, dtype = read_data(fits_file, params) - - # Initialize new data structure - structured_data = np.empty( - len(extracted_data[params["param_list"][0]]), - dtype=dtype, - ) - - # Loop over parameters - for col in params["param_list"]: - - #if isinstance(extracted_data[col][0], (np.ndarray, tuple, list)): - if False: - - continue - # If multi-entry loop over entries - print(col) - num_elements = len(extracted_data[col][0]) - for idx in range(num_elements): - new_col_name = f"{col}_{idx}" - dtype.append((new_col_name, extracted_data[col].dtype)) - try: - structured_data[new_col_name] = [x[idx] for x in extracted_data[col]] # Extract element `idx` - except: - print(f"Error for ID {id} for column {new_col_name}") - raise - else: - # single entry - if not col in extracted_data: - print(f"Column {col} not in file with ID {id}") - structured_data[col] = extracted_data[col] + + structured_data = copy_data(params["param_list"], extracted_data, dtype) # Create a new dataset try: @@ -405,30 +410,59 @@ def process(params): n_added += 1 - return n_added + if params["verbose"]: + print(f"{n_added} tiles added") -def main(argv=None): - - if argv is None: - argv = sys.argv[0:] - params = set_params_from_command_line(argv) +def single_action(params): + """Single Action. - check_params(params) + Perform single-ID action. + + Parameters + ---------- + params : dict + parameter options) + Returns + ------- + int + return value: 0 (success), 1 (failure), ``None`` (no action performed) + + """ if params["single_op"] == "check": # Check wheter ID is part of hdf5 file found = check_ID(params["merged_cat_path"], params["ID"], verbose=params["verbose"]) if found == "": # ID not found - return 1 + res = 1 # ID found - return 0 + res = 0 elif params["single_op"] == "remove": # Remove ID remove_ID(params["merged_cat_path"], params["ID"], verbose=params["verbose"]) - return 0 + res = 0 + + else: + + # No action performed + res = None + + return res + + +def main(argv=None): + + if argv is None: + argv = sys.argv[0:] + params = set_params_from_command_line(argv) + + check_params(params) + + res = single_action(params) + if res is not None: + return res if params["list_only"] == False: params["param_list"] = read_param_file( @@ -436,7 +470,7 @@ def main(argv=None): verbose=params["verbose"], ) process(params) - + print_list(params) return 0 From 4bea0e2f8c8c54573a44ee8704c881615683aef2 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Sun, 29 Dec 2024 11:42:49 +0000 Subject: [PATCH 177/217] comments --- scripts/python/summary_params_pre_v2.py | 2 +- shapepipe/utilities/summary.py | 2 -- 2 files changed, 1 insertion(+), 3 deletions(-) diff --git a/scripts/python/summary_params_pre_v2.py b/scripts/python/summary_params_pre_v2.py index 7c1fc409f..e9457e112 100644 --- a/scripts/python/summary_params_pre_v2.py +++ b/scripts/python/summary_params_pre_v2.py @@ -200,7 +200,7 @@ def set_jobs_v2_pre_v2(patch, verbose): verbose=verbose, ) - if patch in ("P2", "P5"): + if patch in ("P2", "P5", "P8"): n_sh = 1 else: n_sh = 8 diff --git a/shapepipe/utilities/summary.py b/shapepipe/utilities/summary.py index 7ba9b9f77..b6f1de649 100755 --- a/shapepipe/utilities/summary.py +++ b/shapepipe/utilities/summary.py @@ -15,8 +15,6 @@ from tqdm import tqdm -print("summaary v1.4") - def init_par_runtime(list_tile_IDs): From 444bd891e55844591cb1b841ae27b919530ada66 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Sun, 29 Dec 2024 13:06:09 +0100 Subject: [PATCH 178/217] Update summary_params_pre_v2.py --- scripts/python/summary_params_pre_v2.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/scripts/python/summary_params_pre_v2.py b/scripts/python/summary_params_pre_v2.py index be792afc9..6075b0378 100644 --- a/scripts/python/summary_params_pre_v2.py +++ b/scripts/python/summary_params_pre_v2.py @@ -9,9 +9,8 @@ def set_jobs_v2_pre_v2(patch, verbose): print(f"Set job info for patch {patch}") # Main input and output directory - #path_main = f"{os.environ['HOME']}/cosmostat/v2/pre_v2/psfex/{patch}" - path_main = f"{os.environ['HOME']}/astro/Runs/shapepipe/CFIS//v1/{patch}" - + path_main = f"{os.environ['HOME']}/cosmostat/v2/pre_v2/psfex/{patch}" + # Logging path = f"{path_main}/summary" if not os.path.isdir(path): From 70c043d1adfc86a5f2339b87576d7a0ab531bb3d Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Sun, 29 Dec 2024 13:06:52 +0100 Subject: [PATCH 179/217] Update summary_params_pre_v2.py --- scripts/python/summary_params_pre_v2.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/scripts/python/summary_params_pre_v2.py b/scripts/python/summary_params_pre_v2.py index 6075b0378..62924f472 100644 --- a/scripts/python/summary_params_pre_v2.py +++ b/scripts/python/summary_params_pre_v2.py @@ -10,7 +10,7 @@ def set_jobs_v2_pre_v2(patch, verbose): # Main input and output directory path_main = f"{os.environ['HOME']}/cosmostat/v2/pre_v2/psfex/{patch}" - + # Logging path = f"{path_main}/summary" if not os.path.isdir(path): From 95fd7c70bf6e0c4c65f58d3add6c33c34559dc12 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Thu, 2 Jan 2025 20:32:51 +0000 Subject: [PATCH 180/217] create final cat: added doc strings; canfar scripts: added -B, -V working --- scripts/python/create_final_cat.py | 33 +++++- scripts/python/link_to_exp_for_tile.py | 144 ++++++++++++++++++++++--- scripts/sh/curl_canfar_local.sh | 14 ++- scripts/sh/job_sp_canfar.bash | 12 +-- 4 files changed, 180 insertions(+), 23 deletions(-) diff --git a/scripts/python/create_final_cat.py b/scripts/python/create_final_cat.py index 059d91f8b..65e236ca3 100755 --- a/scripts/python/create_final_cat.py +++ b/scripts/python/create_final_cat.py @@ -217,15 +217,27 @@ def check_ID(merged_cat_path, ID, verbose=False): def print_list(params): + """Print List. + Print number of tile IDs found in hdf5 file. + + Parameters + ---------- + params: dict + parameters + + """ n_tiles = 0 + # Open hdf5 merge cat file with h5py.File(params["merged_cat_path"], "r") as hdf5_file: + # Loop over patches contained in hdf5 file for patch in hdf5_file["patches"]: - #print(patch) + # Count tiles summed over all patches for id in hdf5_file[f"patches/{patch}"]: n_tiles += 1 + # Write number of tiles to output file with open(params["output_summary"], "w") as f_out: print(n_tiles, file=f_out) @@ -266,8 +278,26 @@ def get_patch_group(hdf5_file, patch, verbose=False): def read_data(fits_file, params): """Read Data. + Read data from final merge catalogue FITS file. + + Parameters + ---------- + fits_file: str + intput FITS file path + params: dict + parameters + + Returns + ------- + dict + data + list + dtypes of data columns + """ + # Open FITS file with fits.open(fits_file) as hdu_list: + # Get data of indicated HDU number try: data = hdu_list[params["hdu_num"]].data except: @@ -278,6 +308,7 @@ def read_data(fits_file, params): if params["param_list"] is None: params["param_list"] = [col for col in data.keys()] + # Copy data to output dict; copy dtypes try: extracted_data = {col: data[col] for col in params["param_list"]} dtype = data.dtype diff --git a/scripts/python/link_to_exp_for_tile.py b/scripts/python/link_to_exp_for_tile.py index 2f44d29cf..1d64d4d48 100755 --- a/scripts/python/link_to_exp_for_tile.py +++ b/scripts/python/link_to_exp_for_tile.py @@ -173,12 +173,29 @@ class param # TODO: move to cs_util def matching_subdirs(base_dir, pattern): + """Matching Subdirs. - # Find all matching subdirectories + Return all subdirectories whose name start with a given string pattern. + + Parameters + ---------- + base_dir: str + base directory + pattern: str + pattern to match beginning of subdir name + + Returns + ------- + list + matched subdirectory names + + """ subdirs = [] if os.path.exists(base_dir): + # Loop over directory entries for entry in os.listdir(base_dir): full_path = os.path.join(base_dir, entry) + # Append if match if os.path.isdir(full_path) and entry.startswith(pattern): subdirs.append(full_path) else: @@ -191,19 +208,54 @@ def matching_subdirs(base_dir, pattern): def get_tile_out_dir(tile_base_dir, tile_ID): + """Get Tile Out Dir. + + Return output directory path for a given tile ID. + + Parameters + ---------- + tile_base_dir: str + base directory of tile runs + tile_ID: str + tile ID - tile_out_dir = f"{tile_base_dir}/{tile_ID}/output" + Returns + ------- + str + path - return tile_out_dir + """ + return f"{tile_base_dir}/{tile_ID}/output" def get_exp_IDs(tile_base_dir, tile_ID, verbose=False): + """Get Exp IDs. + + Return exposure IDs used for given tile. + + Parameters + ---------- + tile_base_dir: str + base directory of tile runs + tile_ID: str + tile ID + verbose: bool, optional + verbose output if ``True``; default is ``False`` + Returns + ------- + list + exposure IDs + + """ + # Get tile output path tile_out_dir = get_tile_out_dir(tile_base_dir, tile_ID) + # Get subdirectories with runs "Fe" (find exposures) pattern = "run_sp_GitFeGie" subdirs = matching_subdirs(tile_out_dir, pattern) + # Raise error if not exactly one run if len(subdirs) == 0: raise IOError( f"No matching directory '{pattern}' in {tile_out_dir} found" @@ -216,12 +268,14 @@ def get_exp_IDs(tile_base_dir, tile_ID, verbose=False): # Replace dot with dash in tile ID tile_ID_sp = re.sub(r"\.", "-", tile_ID) - exp_ID_file = ( + # Get output file of find_exposure_runner for this tile ID + exp_ID_file = f"{subdirs[0]}/find_exposures_runner/output/" + f"exp_numbers-{tile_ID_sp}.txt" ) exp_IDs = [] + # Read file to get exposure IDs with open(exp_ID_file) as f_in: for line in f_in: name = line.strip() @@ -235,9 +289,27 @@ def get_exp_IDs(tile_base_dir, tile_ID, verbose=False): def get_exp_single_HDU_IDs(exp_IDs, n_CPU): + """Get Exp Single HDU IDs. + + Return all single-HDU IDs for given exposures. + Parameters + ---------- + exp_IDs: list + input exposure IDs, list of str + n_CPU: int + number of CPUs (=HDUs) of an exposure; n_CPU=40 for MegaCAM + + Returns + ------- + list + list of single-HDU exposure IDs + + """ exp_shdu_IDs = [] + # Loop over input exposure IDs for exp_ID in exp_IDs: + # Append int up to n_CPU to each for idx in range(n_CPU): ID = f"{exp_ID}-{idx}" exp_shdu_IDs.append(ID) @@ -246,68 +318,112 @@ def get_exp_single_HDU_IDs(exp_IDs, n_CPU): def get_paths(exp_base_dir, exp_shdu_IDs, pattern): + """Get Paths. - number = {} + Return (newest) subdirectory for each input single-exposure HDU ID that matches pattern. + + Parameters + ---------- + exp_base_dir: str + base directory for (single-HDU) exposure runs + exp_shdu_IDs: list + single-HDU exposure IDs; list of str + pattern: str + pattern to match beginning of subdir names + Returns + ------- + list + matching paths; list of str, one entry for each input single-exp ID + + """ paths = [] + # Loop over single-HDU exposure IDs for exp_shdu_ID in exp_shdu_IDs: + # output path of runs name = f"{exp_base_dir}/{exp_shdu_ID}/output" path = os.path.abspath(name) + + # get matching subdirs subdirs = matching_subdirs(path, pattern) n_subdirs = len(subdirs) - if n_subdirs not in number: - number[n_subdirs] = 1 - else: - number[n_subdirs] += 1 - if n_subdirs != 1: msg = ( f"Exactly one directory matching {pattern} in {path} expected," + f" not {n_subdirs}" ) - #print(msg) - # More than one match: sort according to name = creation time + + # If more than one found: sort by name = sort by date subdirs = sorted(subdirs) + + # No match if n_subdirs == 0: continue # Append matching subdir; if more than one append newest paths.append(f"{subdirs[-1]}") - return paths, number + return paths def create_links_paths(tile_base_dir, tile_ID, paths, verbose=False): + """Create Links Paths. + + Create links to paths. + Parameters + ---------- + tile_base_dir: str + base directory for tile runs + tile_ID: str + tile ID + paths: list + paths; list of str + verbose: bool, optional + verbose output if ``True``; default is ``False`` + + """ + # Get tile output path tile_out_dir = get_tile_out_dir(tile_base_dir, tile_ID) + # Loop over paths for path in paths: + # Get destination = tile output dir + path tail (part of path after last slash) head, tail = os.path.split(path) src = path dst = f"{tile_out_dir}/{tail}" + if os.path.exists(dst): + src_existing = os.readlink(dst) if src_existing == src: + # destination already points to source: skip if verbose: print( f"Warning: {src} <- {dst} already exists, no link created" ) continue else: + # destination points to different source: create links with added index to distinguish + # from existing one(s) idx = 1 dst_orig = dst while True: + # Find destination name with lowest appended index that does not exist dst = f"{dst_orig}_{idx}" if os.path.exists(dst): idx += 1 else: + # Found: create new link if verbose: print(f"link {src} <- {dst}") os.symlink(src, dst) break else: + + # destination does not exist: create link if verbose: print(f"link {src} <- {dst}") os.symlink(src, dst) @@ -340,7 +456,7 @@ def main(argv=None): if param.sp_local == 1: patterns.append("run_sp_exp_Sp_shdu") for pattern in patterns: - paths, number = get_paths(exp_base_dir, exp_shdu_IDs, pattern) + paths = get_paths(exp_base_dir, exp_shdu_IDs, pattern) create_links_paths(tile_base_dir, tile_ID, paths, verbose=verbose) diff --git a/scripts/sh/curl_canfar_local.sh b/scripts/sh/curl_canfar_local.sh index 1be50e8a8..1ada1354a 100755 --- a/scripts/sh/curl_canfar_local.sh +++ b/scripts/sh/curl_canfar_local.sh @@ -20,6 +20,7 @@ RAM=4 fix=0 version="1.1" cmd_remote="$HOME/shapepipe/scripts/sh/init_run_exclusive_canfar.sh" +batch=30 batch_max=200 dry_run=0 mh_local=0 @@ -53,13 +54,15 @@ usage="Usage: $(basename "$0") -j JOB -[e ID |-f file_IDs] -k KIND [OPTIONS] -R, --RAM RAM\n \tRAM in Gb, default=$RAM\n -F, --fix FIX\n - \tfix missing data (re-download tile, unzip) for FIX=1; default is $fix\ + \tfix missing data (re-download tile, unzip) for FIX=1; default is $fix\n -V, --version\n \tversion of docker image, default='$version'\n -C, --command_remote\n \tremote command to run on canfar, default='$cmd_remote'\n -S, --scratch\n \tprocessing scratch directory, default is None ($scratch)\n + -B, --batch\n + \tbatch size = size of subsamples if number of jobs > batch_max\n -b, --batch_max\n \tmaximum batch size = number of jobs run simultaneously, default=$batch_max\n --debug_out PATH\n @@ -127,6 +130,14 @@ while [ $# -gt 0 ]; do scratch="$2" shift ;; + -V|--version) + version="$2" + shift + ;; + -B|--batch) + batch="$2" + shift + ;; -b|--batch_max) batch_max="$2" shift @@ -205,7 +216,6 @@ function submit_batch() { done } -batch=30 if [ "$batch" -ge "$batch_max" ]; then ((batch=batch_max/2)) echo "Reducing batch size to $batch" diff --git a/scripts/sh/job_sp_canfar.bash b/scripts/sh/job_sp_canfar.bash index 21ad6d620..5eefd7937 100755 --- a/scripts/sh/job_sp_canfar.bash +++ b/scripts/sh/job_sp_canfar.bash @@ -200,6 +200,7 @@ function command () { echo "${pat}pwd = `pwd`" >> $debug_out echo "${pat}SP_RUN = $SP_RUN" >> $debug_out echo "${pat}SP_CONFIG = $SP_CONFIG" >> $debug_out + echo "${pat}pwd = `pwd`" >> $debug_out fi if [ $# == 2 ]; then @@ -207,7 +208,7 @@ function command () { echo "$str: running '$cmd'" fi if [ "$debug_out" != "-1" ]; then - echo "${pat}Running $cmd" >> $debug_out + echo "${pat}Running[1] $cmd" >> $debug_out fi $cmd @@ -217,7 +218,7 @@ function command () { echo "$str: running '$cmd $4 \"$5 $6\"'" fi if [ "$debug_out" != "-1" ]; then - echo "${pat}Running $cmd $4 \"$5 $6\"" >> $debug_out + echo "${pat}Running[2] $cmd $4 \"$5 $6\"" >> $debug_out fi $cmd $4 "$5 $6" @@ -468,7 +469,7 @@ if [[ $do_job != 0 ]]; then Letter=${letter^} command_cfg_shapepipe \ "config_tile_${Letter}iViSmVi_canfar.ini" \ - "Run shapepipe (tile PsfInterp=$Letter}: up to ngmix+galsim)" \ + "Run shapepipe (tile PsfInterp=$Letter}: up to ngmix" \ $n_smp \ $exclusive @@ -542,12 +543,11 @@ if [[ $do_job != 0 ]]; then perl -ane \ 's/(N_SPLIT_MAX =) X/$1 '$nsh_jobs'/; print' \ > $SP_CONFIG_MOD/config_merge_sep_cats.ini - + ### Merge separated shapes catalogues - command_cfg_shapepipe \ + command_sp \ "shapepipe_run -c $SP_CONFIG_MOD/config_merge_sep_cats.ini" \ "Run shapepipe (tile: merge sep cats)" \ - $n_smp \ $exclusive fi From 68a33f2f0935ea47b161175ce59e0849c821a05c Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Thu, 9 Jan 2025 13:21:29 +0000 Subject: [PATCH 181/217] black --- scripts/python/link_to_exp_for_tile.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/scripts/python/link_to_exp_for_tile.py b/scripts/python/link_to_exp_for_tile.py index 1d64d4d48..5b2a5f0e2 100755 --- a/scripts/python/link_to_exp_for_tile.py +++ b/scripts/python/link_to_exp_for_tile.py @@ -269,7 +269,7 @@ def get_exp_IDs(tile_base_dir, tile_ID, verbose=False): # Replace dot with dash in tile ID tile_ID_sp = re.sub(r"\.", "-", tile_ID) # Get output file of find_exposure_runner for this tile ID - exp_ID_file = + exp_ID_file = ( f"{subdirs[0]}/find_exposures_runner/output/" + f"exp_numbers-{tile_ID_sp}.txt" ) From 67f603396211f9ed3b18e50ecb3645d649594145 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Thu, 9 Jan 2025 13:35:23 +0000 Subject: [PATCH 182/217] fixed conda activation; better job handling (-j 64); deal with previous runs for =j 128 --- scripts/sh/curl_canfar_local.sh | 7 ++- scripts/sh/functions.sh | 2 +- scripts/sh/init_run_exclusive_canfar.sh | 79 +++++++++++++++++++------ scripts/sh/job_sp_canfar.bash | 14 +++-- 4 files changed, 76 insertions(+), 26 deletions(-) diff --git a/scripts/sh/curl_canfar_local.sh b/scripts/sh/curl_canfar_local.sh index 1ada1354a..cf9b99d5c 100755 --- a/scripts/sh/curl_canfar_local.sh +++ b/scripts/sh/curl_canfar_local.sh @@ -30,6 +30,8 @@ debug_out="-1" scratch="-1" sm=1 +script_version=1.1 + pat="- " ## Help string @@ -192,10 +194,11 @@ if [ "$debug_out" != "-1" ]; then echo ${pat}`date` >> $debug_out fi -. /opt/conda/etc/profile.d/conda.sh -conda activate shapepipe +#. /opt/conda/etc/profile.d/conda.sh +source activate shapepipe if [ "$debug_out" != "-1" ]; then echo "${pat}conda prefix = ${CONDA_PREFIX}" >> $debug_out + echo "${pat}script version = ${script_version}" >> $debug_out fi # command line arguments for remote script: diff --git a/scripts/sh/functions.sh b/scripts/sh/functions.sh index 1694e89d5..3e939eb01 100644 --- a/scripts/sh/functions.sh +++ b/scripts/sh/functions.sh @@ -1,4 +1,4 @@ -# Global variables + # Global variables SSL=~/.ssl/cadcproxy.pem SESSION=https://ws-uv.canfar.net/skaha/v0/session IMAGE=images.canfar.net/unions/shapepipe diff --git a/scripts/sh/init_run_exclusive_canfar.sh b/scripts/sh/init_run_exclusive_canfar.sh index 815dc5851..f66da8301 100755 --- a/scripts/sh/init_run_exclusive_canfar.sh +++ b/scripts/sh/init_run_exclusive_canfar.sh @@ -210,6 +210,11 @@ else message "not running in dry run mode" $debug_out -1 fi +source activate shapepipe +if [ "$debug_out" != "-1" ]; then + echo "${pat}conda prefix = ${CONDA_PREFIX}" >> $debug_out +fi + CONDA_PREFIX=$HOME/.conda/envs/shapepipe PATH=$PATH:$CONDA_PREFIX/bin @@ -410,6 +415,10 @@ if [ $do_job != 0 ] && [ "$sp_local" == "1" ]; then fi if [ "$kind" == "tile" ] && [ "$sp_local" == "1" ]; then + # Link to exposure outputs (runs 2 and 32) + + # Remove previous split exp dir +rm -r run_sp_exp_Sp_shdu cd ../../.. command "link_to_exp_for_tile.py -t $ID -i tile_runs -I exp_runs -s $sp_local" $dry_run cd tile_runs/$ID @@ -485,23 +494,58 @@ fi # Update links to exposure run directories, which were created in job 32 (( do_job = $job & 64 )) if [[ $do_job != 0 ]]; then - if [ "$kind" == "tile" ]; then - cd ../../.. - command "link_to_exp_for_tile.py -t $ID -i tile_runs -I exp_runs -s $sp_local" $dry_run - cd ${kind}_runs/$ID/output - - # Remove duplicate job-16 runs (tile detection) - # New (P8) commented - #n_16=`ls -rt1d run_sp_tile_Sx_* | wc -l` - #if [ "$n_16" != "1" ]; then - #n_remove="$(($n_16-1))" - #echo "removing $n_remove duplicate old job-16 runs" - #command "rm -rf `ls -rt1d run_sp_tile_Sx_* | head -$n_remove`" $dry_run - #fi - - # Remove previous runs of this job - rm -rf run_sp_tile_PsViSmVi* - fi + + # MKDEBUG NEW (04/01/2025): this script was already run earlier with -s 1 + #cd ../../.. + #command "link_to_exp_for_tile.py -t $ID -i tile_runs -I exp_runs -s $sp_local" $dry_run + #cd ${kind}_runs/$ID/output + + # Remove previous runs of this job + rm -rf run_sp_tile_PsViSmVi* +fi + +(( do_job = $job & 128 )) +if [[ $do_job != 0 ]]; then + + echo + + cat_ngmix="run_sp_tile_ngmix_Ng1u/ngmix_runner/output/ngmix-*.fits" + dir_ngmix_prev="run_sp_tile_ngmix_Ng1u_prev/ngmix_runner/output" + cat_ngmix_prev="$dir_ngmix_prev/ngmix-*.fits" + + # Check whether ngmix output exists + if [ -e $cat_ngmix ]; then + message "ngmix output catalogue exists" $debug_out -1 + + # Check whether previous ngmix directory and output cat exist + exists="1" + if [ ! -d $dir_ngmix_prev ]; then + exists="0" + elif [ ! -e "$cat_ngmix_prev" ]; then + exists="1" + fi + if [ "$exists" == "0" ]; then + message "Moving to previous batch-save dir (does not exist yet)" $debug_out -1 + command "mkdir -p $dir_ngmix_prev" $dry_run + command "mv $cat_ngmix $dir_ngmix_prev" $dry_run + else + # Compare file sizes + size_cat_ngmix=$(stat -c%s $cat_ngmix) + size_cat_ngmix_prev=$(stat -c%s $cat_ngmix_prev) + if [ "$size_cat_ngmix" -gt "$size_cat_ngmix_prev" ]; then + message "Moving to batch-save dir, overwriting smaller batch-save cat" $debug_out -1 + command "mv $cat_ngmix $dir_ngmix_prev" $dry_run + else + message "Previous batch-save dir not smaller, removing ngmix output" $debug_out -1 + command "rm $cat_ngmix" $dry_run + fi + fi + else + # Whether or not previous ngmix exists, job_sp_canfar will handle it + message "No ngmix output exists, continuing..." $debug_out -1 + fi + + echo fi (( do_job = $job & 256 )) @@ -509,7 +553,6 @@ if [[ $do_job != 0 ]]; then # Remove previous runs of this job rm -rf run_sp_Ms_20??_* - fi (( do_job = $job & 512 )) diff --git a/scripts/sh/job_sp_canfar.bash b/scripts/sh/job_sp_canfar.bash index 5eefd7937..cd806e83d 100755 --- a/scripts/sh/job_sp_canfar.bash +++ b/scripts/sh/job_sp_canfar.bash @@ -149,7 +149,6 @@ if [ "$debug_out" != "-1" ]; then echo "${pat}Starting $(basename "$0")" >> $debug_out fi -CONDA_PREFIX=/arc/home/kilbinger/.conda/envs/shapepipe PATH=$PATH:$CONDA_PREFIX/bin # For tar archives. TODO: Should be unique to each job @@ -208,7 +207,7 @@ function command () { echo "$str: running '$cmd'" fi if [ "$debug_out" != "-1" ]; then - echo "${pat}Running[1] $cmd" >> $debug_out + echo "${pat}Running $cmd" >> $debug_out fi $cmd @@ -231,7 +230,7 @@ function command () { fi if [ $VERBOSE == 1 ]; then - if [ $res == 0 ]; then + if [ "$res" == "0" ]; then echo -e "${GREEN}success, return value = $res${NC}" else echo -e "${RED}error, return value = $res${NC}" @@ -340,6 +339,11 @@ function update_config() { ### Start ### +command_sp "source activate shapepipe" "Activate conda shapepipe env" +if [ "$debug_out" != "-1" ]; then + echo "${pat}conda prefix = ${CONDA_PREFIX}" >> $debug_out +fi +CONDA_PREFIX=/arc/home/kilbinger/.conda/envs/shapepipe echo "Start processing" # Create input and output directories @@ -509,7 +513,7 @@ if [[ $do_job != 0 ]]; then # if output dir for subrun exists but no output: re-run ngmix_run=$OUTPUT/"run_sp_tile_ngmix_Ng${k}u/ngmix_runner" - if [ -e "$ngmix_run" ]; then + if [ -e "$ngmix_run" ]; then ngmix_out="$ngmix_run/output" n_out=`ls -rlt $ngmix_out | wc -l` if [ "$n_out" -lt 2 ]; then @@ -583,5 +587,5 @@ if [[ $do_job != 0 ]]; then fi if [ "$debug_out" != "-1" ]; then - echo "${pat}End $(basename "$0") ID=$exclusive success" >> $debug_out + echo "${pat}End $(basename "$0") ID=$exclusive" >> $debug_out fi From e4cfec49eafa9ed66e875a02fdbdff409aa272b7 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Thu, 9 Jan 2025 13:46:51 +0000 Subject: [PATCH 183/217] try/except for opening and reading images in vignet runner --- .../modules/vignetmaker_package/vignetmaker.py | 14 ++++++++++++-- 1 file changed, 12 insertions(+), 2 deletions(-) diff --git a/shapepipe/modules/vignetmaker_package/vignetmaker.py b/shapepipe/modules/vignetmaker_package/vignetmaker.py index 9cc4ae0b2..ec8002f6d 100644 --- a/shapepipe/modules/vignetmaker_package/vignetmaker.py +++ b/shapepipe/modules/vignetmaker_package/vignetmaker.py @@ -190,8 +190,18 @@ def _get_stamp(self, img_path, pos, rad): Array containing the vignets """ - img_file = file_io.FITSCatalogue(img_path) - img_file.open() + try: + img_file = file_io.FITSCatalogue(img_path) + except: + self._w_log.info(f"Error while getting file {img_path}") + raise + + try: + img_file.open() + except: + self._w_log.info(f"Error while opening file {img_path}") + raise + try: img = img_file.get_data(0) except: From 9b04e5aa594c01ec58c41af4630c3a2260c36c75 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Sat, 11 Jan 2025 13:15:24 +0100 Subject: [PATCH 184/217] canfar_doc --- docs/source/pipeline_canfar.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/pipeline_canfar.md b/docs/source/pipeline_canfar.md index 9bb71334d..bc79b4ad8 100644 --- a/docs/source/pipeline_canfar.md +++ b/docs/source/pipeline_canfar.md @@ -118,7 +118,7 @@ combine_runs.bash -c final -p psfex # (W3: 140GB RAM) # in /path/to/$psf patchnum=`tr $patch P ''` -create_final_cat.py -m /scratch/final_cat_$patch.hdf5 -i . -p $patch/cfis/final_cat.param -P $patchnum -o $patch/n_tiles_final.txt -v +create_final_cat.py -m final_cat_$patch.hdf5 -i . -p $patch/cfis/final_cat.param -P $patchnum -o $patch/n_tiles_final.txt -v # Star catalogue combine_runs.bash -p $psf -c psf From 6f23da60dd736ed24d55c814246bd810f971e7fc Mon Sep 17 00:00:00 2001 From: martin kilbinger Date: Wed, 15 Jan 2025 10:33:02 +0100 Subject: [PATCH 185/217] fixed typo from merge --- Dockerfile | 1 - 1 file changed, 1 deletion(-) diff --git a/Dockerfile b/Dockerfile index b5c763f77..7ff2850f6 100644 --- a/Dockerfile +++ b/Dockerfile @@ -100,4 +100,3 @@ RUN pip install --no-cache-dir -e . && \ link_name=`basename $script $ext`; \ ln -s $script /usr/local/bin/$link_name; \ done; \ - done From d04c4eacdfa30260ab4c025cda56af6651a9c8db Mon Sep 17 00:00:00 2001 From: martin kilbinger Date: Wed, 15 Jan 2025 10:33:41 +0100 Subject: [PATCH 186/217] fixed typo from merge --- Dockerfile | 1 + 1 file changed, 1 insertion(+) diff --git a/Dockerfile b/Dockerfile index 7ff2850f6..b5c763f77 100644 --- a/Dockerfile +++ b/Dockerfile @@ -100,3 +100,4 @@ RUN pip install --no-cache-dir -e . && \ link_name=`basename $script $ext`; \ ln -s $script /usr/local/bin/$link_name; \ done; \ + done From 002759333563883a4f635cd59fc51c5de58fdd80 Mon Sep 17 00:00:00 2001 From: martin kilbinger Date: Wed, 15 Jan 2025 11:02:38 +0100 Subject: [PATCH 187/217] remove obsolete file with all tile IDS (for HST N) --- example/hst_north/tiles_all_order.txt | 12621 ------------------------ 1 file changed, 12621 deletions(-) delete mode 100644 example/hst_north/tiles_all_order.txt diff --git a/example/hst_north/tiles_all_order.txt b/example/hst_north/tiles_all_order.txt deleted file mode 100644 index 6641559b4..000000000 --- a/example/hst_north/tiles_all_order.txt +++ /dev/null @@ -1,12621 +0,0 @@ -245.292 -230.293 -240.292 -247.291 -257.286 -245.290 -270.282 -271.283 -261.283 -264.286 -243.291 -249.289 -260.285 -253.289 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-372.264 -372.268 -373.260 -373.261 -373.262 -373.263 -373.264 -373.268 -374.260 -374.261 -374.262 -374.263 -374.268 -375.260 -375.261 -375.262 -375.263 -376.260 -376.261 -376.262 -376.263 -377.260 -377.262 -377.263 -378.260 -378.262 -378.263 -379.262 -379.263 -380.262 -380.263 -381.262 -381.263 -382.262 -382.263 -383.262 -383.263 -384.262 -384.263 -385.262 -385.263 -386.262 -386.263 -387.262 -387.263 -388.262 -388.264 -389.262 -390.262 -567.255 -568.255 -569.255 -570.254 -570.255 -571.254 -571.255 -572.254 -572.255 -573.254 -574.254 -575.254 -576.254 -584.242 -605.238 From 0639b662a09cb67b144f5ecb8d591efb5342a717 Mon Sep 17 00:00:00 2001 From: martin kilbinger Date: Wed, 15 Jan 2025 11:09:03 +0100 Subject: [PATCH 188/217] remove MKDEBUG comment --- shapepipe/modules/merge_starcat_package/merge_starcat.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/shapepipe/modules/merge_starcat_package/merge_starcat.py b/shapepipe/modules/merge_starcat_package/merge_starcat.py index 67c258f96..9289be39e 100644 --- a/shapepipe/modules/merge_starcat_package/merge_starcat.py +++ b/shapepipe/modules/merge_starcat_package/merge_starcat.py @@ -572,8 +572,8 @@ def process(self): # misc - # MKDEBUG: The following columns do not exist (yet) - # for psf converted (pix2wcs) files. + # The following columns do not exist (yet) for psf converted (pix2wcs) files. + # To work in both cases, use try/except for now. try: mag += list(data_j["MAG"]) except: From ea3f9411eb432f925523e2ff9e788d2b5559b929 Mon Sep 17 00:00:00 2001 From: martin kilbinger Date: Wed, 15 Jan 2025 11:43:27 +0100 Subject: [PATCH 189/217] Ran black on all py files --- develop.txt | 6 +- scripts/python/canfar_avail_results.py | 8 +- scripts/python/canfar_run_analyse.py | 9 +- scripts/python/cfis_field_select.py | 39 ++--- scripts/python/convert_psf_pix2world.py | 48 ++---- scripts/python/create_final_cat.py | 132 +++++++-------- scripts/python/create_sample_results.py | 16 +- scripts/python/create_star_cat.py | 8 +- scripts/python/get_ccd_names_survey.py | 6 +- scripts/python/get_special.py | 7 +- scripts/python/link_to_exp_for_tile.py | 13 +- scripts/python/merge_final_cat.py | 1 - scripts/python/sqlite_get_ccd_names.py | 17 +- scripts/python/stats_global.py | 16 +- scripts/python/summary_params_pre_v2.py | 53 +++--- scripts/python/summary_run.py | 20 +-- scripts/python/vignets2image.py | 4 +- shapepipe/modules/execute_example_runner.py | 4 +- .../modules/get_images_package/get_images.py | 20 +-- shapepipe/modules/get_images_runner.py | 15 +- .../modules/make_cat_package/make_cat.py | 15 +- shapepipe/modules/make_cat_runner.py | 15 +- shapepipe/modules/mask_package/mask.py | 67 ++------ shapepipe/modules/mask_runner.py | 10 +- .../match_external_package/match_external.py | 10 +- shapepipe/modules/match_external_runner.py | 8 +- shapepipe/modules/mccd_fit_runner.py | 4 +- shapepipe/modules/mccd_fit_val_runner.py | 4 +- .../mccd_package/mccd_interpolation_script.py | 55 ++----- .../mccd_package/mccd_plot_utilities.py | 94 +++-------- .../mccd_package/shapepipe_auxiliary_mccd.py | 10 +- .../modules/mccd_preprocessing_runner.py | 4 +- .../merge_starcat_package/merge_starcat.py | 64 +++----- shapepipe/modules/ngmix_package/ngmix.py | 153 ++++++------------ .../modules/pastecat_package/pastecat.py | 3 +- shapepipe/modules/pastecat_runner.py | 4 +- .../psfex_interp_package/psfex_interp.py | 95 +++-------- shapepipe/modules/psfex_runner.py | 4 +- shapepipe/modules/python_example_runner.py | 4 +- shapepipe/modules/random_cat_runner.py | 16 +- shapepipe/modules/serial_example_runner.py | 4 +- shapepipe/modules/setools_package/setools.py | 18 +-- .../sextractor_package/sextractor_script.py | 24 +-- shapepipe/modules/sextractor_runner.py | 4 +- .../modules/split_exp_package/split_exp.py | 14 +- .../spread_model_package/spread_model.py | 16 +- .../vignetmaker_package/vignetmaker.py | 16 +- shapepipe/pipeline/args.py | 5 +- shapepipe/pipeline/config.py | 3 +- shapepipe/pipeline/dependency_handler.py | 16 +- shapepipe/pipeline/execute.py | 3 +- shapepipe/pipeline/file_handler.py | 46 ++---- shapepipe/pipeline/file_io.py | 15 +- shapepipe/pipeline/job_handler.py | 16 +- shapepipe/pipeline/run_log.py | 3 +- shapepipe/pipeline/shared.py | 4 +- shapepipe/pipeline/str_handler.py | 23 +-- shapepipe/pipeline/timeout.py | 5 +- shapepipe/pipeline/worker_handler.py | 12 +- shapepipe/run.py | 16 +- shapepipe/tests/test_get_images.py | 9 +- shapepipe/tests/test_pipeline.py | 1 - shapepipe/tests/test_utilities.py | 1 - shapepipe/utilities/cfis.py | 47 ++---- shapepipe/utilities/file_system.py | 8 +- shapepipe/utilities/galaxy.py | 11 +- shapepipe/utilities/summary.py | 36 ++--- 67 files changed, 447 insertions(+), 1010 deletions(-) diff --git a/develop.txt b/develop.txt index 35596ad9c..b5e375ade 100644 --- a/develop.txt +++ b/develop.txt @@ -1,6 +1,6 @@ isort numpydoc pytest -pytest-cov -pytest-pycodestyle -pytest-pydocstyle +pytest - cov +pytest - pycodestyle +pytest - pydocstyle diff --git a/scripts/python/canfar_avail_results.py b/scripts/python/canfar_avail_results.py index 62fbf0564..fe704369b 100755 --- a/scripts/python/canfar_avail_results.py +++ b/scripts/python/canfar_avail_results.py @@ -83,9 +83,7 @@ def parse_options(p_def): dest="input_path", type="string", default=p_def.input_path, - help="input path, local or vos url, default='{}'".format( - p_def.input_path - ), + help="input path, local or vos url, default='{}'".format(p_def.input_path), ) parser.add_option( "-o", @@ -101,9 +99,7 @@ def parse_options(p_def): dest="psf", type="string", default=p_def.psf, - help="PSF model, one in ['psfex'|'mccd'], default='{}'".format( - p_def.psf - ), + help="PSF model, one in ['psfex'|'mccd'], default='{}'".format(p_def.psf), ) parser.add_option( diff --git a/scripts/python/canfar_run_analyse.py b/scripts/python/canfar_run_analyse.py index 72da60474..26e8af354 100755 --- a/scripts/python/canfar_run_analyse.py +++ b/scripts/python/canfar_run_analyse.py @@ -223,9 +223,7 @@ def get_status(tile_num): if mm: status = status + (fail_time_out, "vos time out") break - mm = re.search( - "ERROR:: __str__ returned non-string", line_err - ) + mm = re.search("ERROR:: __str__ returned non-string", line_err) if mm: status = status + ( fail_connection, @@ -322,10 +320,7 @@ def output_failed(output_fail, status): with open(output_fail, "w") as f_out: for tile_num in status.keys(): - if ( - status[tile_num][0] == res_noout - or status[tile_num][0] == res_unk - ): + if status[tile_num][0] == res_noout or status[tile_num][0] == res_unk: print(tile_num, file=f_out) diff --git a/scripts/python/cfis_field_select.py b/scripts/python/cfis_field_select.py index 08f79d804..998de047b 100755 --- a/scripts/python/cfis_field_select.py +++ b/scripts/python/cfis_field_select.py @@ -64,9 +64,7 @@ def get_images_used_in_tiles(images, band, image_type): m = re.search(pattern, temp[3]) if not m: raise cfis.CfisError( - "re match '{}' failed for filename '{}'".format( - pattern, temp[3] - ) + "re match '{}' failed for filename '{}'".format(pattern, temp[3]) ) exp_name = m.group(1) @@ -77,9 +75,7 @@ def get_images_used_in_tiles(images, band, image_type): return exp_list_uniq -def get_coord_at_image( - number, band, image_type, images, no_cuts=False, verbose=False -): +def get_coord_at_image(number, band, image_type, images, no_cuts=False, verbose=False): """Return coordinate of image with given number. Parameters @@ -111,9 +107,7 @@ def get_coord_at_image( if verbose == True: print( - "Looking for coordinates for tile with numbers ({},{})".format( - nix, niy - ) + "Looking for coordinates for tile with numbers ({},{})".format(nix, niy) ) ra, dec = cfis.get_tile_coord_from_nixy(nix, niy) @@ -129,9 +123,7 @@ def get_coord_at_image( img_found = img else: - raise cfis.CfisError( - "Image type '{}' not implemented yet".format(image_type) - ) + raise cfis.CfisError("Image type '{}' not implemented yet".format(image_type)) return img_found @@ -365,23 +357,17 @@ def check_options(options): ) if options.image_type != "exposure" and options.no_cuts == True: - raise cfis.CfisError( - "option '--no_cuts' only possible for image_type=exposure" - ) + raise cfis.CfisError("option '--no_cuts' only possible for image_type=exposure") if options.input in [ "{}.txt".format(options.outbase), "{}.pdf", format(options.outbase), ]: - raise cfis.CfisError( - "Output base same as input, latter will be overwritten!" - ) + raise cfis.CfisError("Output base same as input, latter will be overwritten!") if options.input_format not in ["full", "ID_only"]: - raise cfis.CfisError( - "input_format needs to be one of 'fulll', 'ID_only'" - ) + raise cfis.CfisError("input_format needs to be one of 'fulll', 'ID_only'") see_help = "See option '-h' for help." @@ -538,9 +524,7 @@ def run_mode(images, param): elif param.tile: # Search exposures used in input tile(s) - images_found = get_images_used_in_tiles( - images, param.band, param.image_type - ) + images_found = get_images_used_in_tiles(images, param.band, param.image_type) if len(images_found) > 0: for img in images_found: print(img, file=param.fout) @@ -548,8 +532,7 @@ def run_mode(images, param): else: raise cfis.CfisError( - "One of '--coord', '--number', " - "'--area', '--tile' needs to be specified" + "One of '--coord', '--number', " "'--area', '--tile' needs to be specified" ) return ex @@ -603,9 +586,7 @@ def main(argv=None): ) if len(images) == 0: raise cfis.CfisError( - "No corresponding image files found in input '{}'".format( - param.input - ) + "No corresponding image files found in input '{}'".format(param.input) ) # Run diff --git a/scripts/python/convert_psf_pix2world.py b/scripts/python/convert_psf_pix2world.py index dea99656b..81ef6a8bb 100755 --- a/scripts/python/convert_psf_pix2world.py +++ b/scripts/python/convert_psf_pix2world.py @@ -99,9 +99,7 @@ class Loc2Glob(object): 'COMMENT __________________________' """ - def __init__( - self, x_gap=70, y_gap=425, x_npix=2048, y_npix=4612, ccd_tot=40 - ): + def __init__(self, x_gap=70, y_gap=425, x_npix=2048, y_npix=4612, ccd_tot=40): r"""Initialize with instrument geometry.""" self.x_gap = x_gap self.y_gap = y_gap @@ -288,10 +286,7 @@ def build_edge(self, ccd_n): ) glob_corners = np.array( - [ - self.loc2glob.loc2glob_img_coord(ccd_n, pos[0], pos[1]) - for pos in corners - ] + [self.loc2glob.loc2glob_img_coord(ccd_n, pos[0], pos[1]) for pos in corners] ) edge_xy = [] @@ -320,12 +315,7 @@ def is_inside(self, x, y, edge_x, edge_y): edge_y: np.ndarray Edge defined as `np.array([min_y, max_y])`. """ - if ( - (x > edge_x[0]) - and (x < edge_x[1]) - and (y > edge_y[0]) - and (y < edge_y[1]) - ): + if (x > edge_x[0]) and (x < edge_x[1]) and (y > edge_y[0]) and (y < edge_y[1]): return True else: return False @@ -349,7 +339,6 @@ def get_ccd_n(self, x, y): class Convert(object): - def __init__(self): self.params_default() @@ -399,9 +388,7 @@ def params_default(self): + " /P/output;" " default is {}" ), - "mode": ( - "run mode, allowed are 'merge', 'test'; default is" + " '{}'" - ), + "mode": ("run mode, allowed are 'merge', 'test'; default is" + " '{}'"), "psf": "PSF model, allowed are 'psfex' and 'mccd'; default is {}", "patches": "(list of) input patches", } @@ -435,7 +422,7 @@ def update_params(self): """ if self._params["psf"] == "psfex": - #self._params["sub_dir_pattern"] = "run_sp_exp_202" + # self._params["sub_dir_pattern"] = "run_sp_exp_202" self._params["sub_dir_pattern"] = "run_sp_combined_psf" self._params["sub_dir_psfint"] = "psfex_interp_runner" elif self._params["psf"] == "mccd": @@ -444,9 +431,7 @@ def update_params(self): self._params["sub_dir_setools"] = "setools_runner/output/mask" else: raise ValueError(f"Invalid PSF model {self._params['psf']}") - self._params["sub_dir_psfint"] = ( - f"{self._params['sub_dir_psfint']}/output" - ) + self._params["sub_dir_psfint"] = f"{self._params['sub_dir_psfint']}/output" def run(self): """Run. @@ -494,9 +479,7 @@ def run(self): total=n_exp_runs, disable=self._params["verbose"], ): - self.transform_exposures( - output_dir, patch, idx_exp, exp_run_dir - ) + self.transform_exposures(output_dir, patch, idx_exp, exp_run_dir) else: res = Parallel(n_jobs=-1, backend="loky")( delayed(self.transform_exposures)( @@ -572,9 +555,7 @@ def transform_exposures(self, output_dir, patch, idx, exp_run_dir): new_sig_star = np.zeros_like(psf_file[mod]) if self._params["psf"] == "psfex": - header = fits.Header.fromstring( - "\n".join(header_file[0][0]), sep="\n" - ) + header = fits.Header.fromstring("\n".join(header_file[0][0]), sep="\n") wcs = galsim.AstropyWCS(header=header) k = 0 @@ -636,8 +617,7 @@ def transform_exposures(self, output_dir, patch, idx, exp_run_dir): new_e2_star, new_sig_star, psf_file["FLAG_STAR_HSM"], - np.ones_like(psf_file["RA"], dtype=int) - * ccd_id, + np.ones_like(psf_file["RA"], dtype=int) * ccd_id, ] ).T.tolist(), ) @@ -673,12 +653,10 @@ def transform_exposures(self, output_dir, patch, idx, exp_run_dir): x_shift, y_shift = l2g.shift_coord(ccd_id) new_x[m_ccd_id] = ( - psf_file["GLOB_POSITION_IMG_LIST"][:, 0][m_ccd_id] - - x_shift + psf_file["GLOB_POSITION_IMG_LIST"][:, 0][m_ccd_id] - x_shift ) new_y[m_ccd_id] = ( - psf_file["GLOB_POSITION_IMG_LIST"][:, 1][m_ccd_id] - - y_shift + psf_file["GLOB_POSITION_IMG_LIST"][:, 1][m_ccd_id] - y_shift ) header_file_path = ( @@ -731,8 +709,8 @@ def transform_exposures(self, output_dir, patch, idx, exp_run_dir): sig_psf_tmp_l.append(sig_psf_tmp) flag_psf_tmp_l.append(obj["PSF_MOM_LIST"][3]) - g1_star_tmp, g2_star_tmp, sig_star_tmp = ( - transform_shape(obj["STAR_MOM_LIST"], jac) + g1_star_tmp, g2_star_tmp, sig_star_tmp = transform_shape( + obj["STAR_MOM_LIST"], jac ) g1_star_tmp_l.append(g1_star_tmp) g2_star_tmp_l.append(g2_star_tmp) diff --git a/scripts/python/create_final_cat.py b/scripts/python/create_final_cat.py index 059d91f8b..421c99db5 100755 --- a/scripts/python/create_final_cat.py +++ b/scripts/python/create_final_cat.py @@ -24,41 +24,37 @@ from cs_util import logging -def set_params_from_command_line(args): - """Set Params From Command Line. - - """ - _params, _short_options, _types, _help_strings = ( - params_default() +def set_params_from_command_line(args): + """Set Params From Command Line.""" + _params, _short_options, _types, _help_strings = params_default() + + # Read command line options + options = cs_args.parse_options( + _params, + _short_options, + _types, + _help_strings, ) - - # Read command line options - options = cs_args.parse_options( - _params, - _short_options, - _types, - _help_strings, - ) - - # Update parameter values from options - for key in options: - _params[key] = options[key] - - del options - - # Save calling command + + # Update parameter values from options + for key in options: + _params[key] = options[key] + + del options + + # Save calling command logging.log_command(args) return _params -def params_default(): - """Params Default. - - Set default parameter values. - - """ - _params = { +def params_default(): + """Params Default. + + Set default parameter values. + + """ + _params = { "input_root_dir": ".", "merged_cat_path": "final_cat.hdf5", "param_path": None, @@ -69,20 +65,20 @@ def params_default(): "ID": None, "single_op": None, } - _short_options = { - "input_root_dir": "-i", + _short_options = { + "input_root_dir": "-i", "merged_cat_path": "-m", "param_path": "-p", "patch": "-P", "list_only": "-l", "output_summary": "-o", "single_op": "-s", - } - _types = { - "hdu_num": "int", + } + _types = { + "hdu_num": "int", "list_only": "bool", - } - _help_strings = { + } + _help_strings = { "input_root_dir": "input root_dir for tile catalogues, default={}", "merged_cat_path": "merged catalogue path (hdf5 file), default={}", "param_path": "parameter file path, if not given use all columns, default={}", @@ -138,17 +134,17 @@ def read_param_file(path, verbose=False): print(" into merged catalogue") param_list_unique = list(set(param_list)) - + if verbose: n = len(param_list) - len(param_list_unique) if n > 1: print("Removed {n} duplicate entries") - + return param_list_unique def check_params(params): - + if bool(params["ID"] is None) != bool(params["single_op"] is None): print("Both or none of the ptions 'ID' and 'single_op' need to be specified") return False @@ -222,7 +218,7 @@ def print_list(params): with h5py.File(params["merged_cat_path"], "r") as hdf5_file: for patch in hdf5_file["patches"]: - #print(patch) + # print(patch) for id in hdf5_file[f"patches/{patch}"]: n_tiles += 1 @@ -264,9 +260,7 @@ def get_patch_group(hdf5_file, patch, verbose=False): def read_data(fits_file, params): - """Read Data. - - """ + """Read Data.""" with fits.open(fits_file) as hdu_list: try: data = hdu_list[params["hdu_num"]].data @@ -293,9 +287,7 @@ def read_data(fits_file, params): def copy_data(param_list, extracted_data, dtype): - """Copy Data. - - """ + """Copy Data.""" # Initialize new data structure structured_data = np.empty( len(extracted_data[param_list[0]]), @@ -307,8 +299,8 @@ def copy_data(param_list, extracted_data, dtype): if not col in extracted_data: print(f"Column {col} not in file with ID {id}") structured_data[col] = extracted_data[col] - - #if isinstance(extracted_data[col][0], (np.ndarray, tuple, list)): + + # if isinstance(extracted_data[col][0], (np.ndarray, tuple, list)): if False: # If multi-entry loop over entries @@ -327,10 +319,10 @@ def copy_data(param_list, extracted_data, dtype): def process(params): - + patch = rf"P{params['patch']}" patch_pattern = re.compile(patch) - + # Define the nested path pattern for locating `.fits` files file_pattern = "output/run_sp_Mc_*/make_cat_runner/output/*.fits" @@ -338,7 +330,7 @@ def process(params): id_pattern = re.compile(r"^\d+\.\d+$") n_added = 0 - + # Open the HDF5 file (create it if it doesn't exist) if params["verbose"]: print(f"Initializing file {params['merged_cat_path']}") @@ -350,14 +342,14 @@ def process(params): # Skip non-matching entries if not patch_pattern.fullmatch(patch): continue - + # Full path to patch patch_path = os.path.join(params["input_root_dir"], patch) if not os.path.isdir(patch_path): if params["verbose"]: print(f"Path {patch_path} not found, skipping") continue - + # Get hdf5 group for this patch patch_group = get_patch_group(hdf5_file, patch, params["verbose"]) @@ -372,11 +364,15 @@ def process(params): print(f"Skipping {id} (already processed)") continue - if id_pattern.match(id) and os.path.isdir(os.path.join(tile_runs_path, id)): + if id_pattern.match(id) and os.path.isdir( + os.path.join(tile_runs_path, id) + ): id_path = os.path.join(tile_runs_path, id) - + base_pattern = os.path.join(id_path, "output", "run_sp_Mc_*") - all_matches = [d for d in glob.glob(base_pattern) if os.path.isdir(d)] + all_matches = [ + d for d in glob.glob(base_pattern) if os.path.isdir(d) + ] if not all_matches: if params["verbose"]: print(f"Final cat for {id} not found, continuing") @@ -384,19 +380,23 @@ def process(params): newest_dir = max(all_matches, key=os.path.getmtime) id_dash = re.sub("\.", "-", id) - fits_file = f"{newest_dir}/make_cat_runner/output/final_cat-{id_dash}.fits" + fits_file = ( + f"{newest_dir}/make_cat_runner/output/final_cat-{id_dash}.fits" + ) # Exclude unsuccessful run without output FITS file if not os.path.exists(fits_file): if params["verbose"]: print(f"Run without output file found for {id}, skipping") continue - + if True: extracted_data, dtype = read_data(fits_file, params) - structured_data = copy_data(params["param_list"], extracted_data, dtype) - + structured_data = copy_data( + params["param_list"], extracted_data, dtype + ) + # Create a new dataset try: patch_group.create_dataset( @@ -405,7 +405,9 @@ def process(params): dtype=dtype, ) except: - print(f"Error for {id}: Could not create dataset in group {patch}") + print( + f"Error for {id}: Could not create dataset in group {patch}" + ) raise n_added += 1 @@ -432,7 +434,9 @@ def single_action(params): """ if params["single_op"] == "check": # Check wheter ID is part of hdf5 file - found = check_ID(params["merged_cat_path"], params["ID"], verbose=params["verbose"]) + found = check_ID( + params["merged_cat_path"], params["ID"], verbose=params["verbose"] + ) if found == "": # ID not found res = 1 @@ -453,7 +457,7 @@ def single_action(params): def main(argv=None): - + if argv is None: argv = sys.argv[0:] params = set_params_from_command_line(argv) @@ -476,5 +480,5 @@ def main(argv=None): return 0 -if __name__ == "__main__": +if __name__ == "__main__": sys.exit(main(sys.argv)) diff --git a/scripts/python/create_sample_results.py b/scripts/python/create_sample_results.py index 0e0223ffe..b56c87dde 100755 --- a/scripts/python/create_sample_results.py +++ b/scripts/python/create_sample_results.py @@ -195,9 +195,7 @@ def read_ID_list(input_ID_path, verbose=False): return input_IDs -def create_links( - input_dir, output_dir, input_IDs, result_base_names, verbose=False -): +def create_links(input_dir, output_dir, input_IDs, result_base_names, verbose=False): """Create symbolic links to result files corresponding to (sub-)sample. Parameters @@ -245,11 +243,7 @@ def create_links( if verbose: print("{:5d} links created".format(n_created)) print("{:5d} links existed already".format(n_existed)) - print( - "{:5d}/{} links available now".format( - n_created + n_existed, n_expected - ) - ) + print("{:5d}/{} links available now".format(n_created + n_existed, n_expected)) n_tot = sum(n_total.values()) print("{:5d} as cross-check".format(n_tot)) @@ -295,11 +289,7 @@ def main(argv=None): if os.path.isdir(param.output_dir): if param.verbose: - print( - "Directory {} already exists, continuing...".format( - param.output_dir - ) - ) + print("Directory {} already exists, continuing...".format(param.output_dir)) else: mkdir(param.output_dir) diff --git a/scripts/python/create_star_cat.py b/scripts/python/create_star_cat.py index f990942f7..dce2b3909 100755 --- a/scripts/python/create_star_cat.py +++ b/scripts/python/create_star_cat.py @@ -105,9 +105,7 @@ def SphereDist(position1, position2, wcs): distance (in degrees) """ - if (type(position1) is not np.ndarray) & ( - type(position2) is not np.ndarray - ): + if (type(position1) is not np.ndarray) & (type(position2) is not np.ndarray): raise ValueError("Positions need to be of type numpy.ndarray") rad2deg = np.pi / 180.0 @@ -194,9 +192,7 @@ def main(input_dir, output_dir, kind): img_shape = (h["NAXIS2"], h["NAXIS1"]) img_center = np.array([img_shape[1] / 2.0, img_shape[0] / 2.0]) wcs_center = w.all_pix2world([img_center], 1)[0] - astropy_center = SkyCoord( - ra=wcs_center[0], dec=wcs_center[1], unit="deg" - ) + astropy_center = SkyCoord(ra=wcs_center[0], dec=wcs_center[1], unit="deg") rad = _get_image_radius(img_center, w) diff --git a/scripts/python/get_ccd_names_survey.py b/scripts/python/get_ccd_names_survey.py index f676be3db..e59b7534e 100644 --- a/scripts/python/get_ccd_names_survey.py +++ b/scripts/python/get_ccd_names_survey.py @@ -11,7 +11,7 @@ def main(argv): n_CCD = 40 n_patch = 7 - patches = [f'P{x}' for x in np.arange(n_patch) + 1] + patches = [f"P{x}" for x in np.arange(n_patch) + 1] missing_CCDs = {} for patch in patches: @@ -63,7 +63,9 @@ def main(argv): print("patch missing total used") for patch in patches: - print(f"{patch:5s} {len(missing_CCDs[patch]):10d} {len(all_CCDs[patch]):10d} {len(used_CCDs[patch]):10d}") + print( + f"{patch:5s} {len(missing_CCDs[patch]):10d} {len(all_CCDs[patch]):10d} {len(used_CCDs[patch]):10d}" + ) print(f"{'sum':5s} {n_missing:10d} {len(all_all):10d} {n_used:10d}") print(f"{'all':5s} {len(missing_all):10d} {n_all:10d} {len(used_all):10d}") diff --git a/scripts/python/get_special.py b/scripts/python/get_special.py index 9f54eed48..34c064302 100755 --- a/scripts/python/get_special.py +++ b/scripts/python/get_special.py @@ -5,8 +5,8 @@ path = sys.argv[1] -#path = "summary/special_job_128_ngmix_runner_6.txt" -#path = "summary/special_job_16_sextractor_runner_7.txt" +# path = "summary/special_job_128_ngmix_runner_6.txt" +# path = "summary/special_job_16_sextractor_runner_7.txt" print(f"Get special from {path}", file=sys.stderr) @@ -15,11 +15,10 @@ for line in lines: # Regular expression to match the pattern - match = re.search(r'process-(\d+)-(\d+)\.log', line) + match = re.search(r"process-(\d+)-(\d+)\.log", line) if match: result = f"{match.group(1)}.{match.group(2)}" print(result) # Output: 439.250 else: print("Pattern not found.") - diff --git a/scripts/python/link_to_exp_for_tile.py b/scripts/python/link_to_exp_for_tile.py index 2f44d29cf..9f3b58a0f 100755 --- a/scripts/python/link_to_exp_for_tile.py +++ b/scripts/python/link_to_exp_for_tile.py @@ -205,9 +205,7 @@ def get_exp_IDs(tile_base_dir, tile_ID, verbose=False): subdirs = matching_subdirs(tile_out_dir, pattern) if len(subdirs) == 0: - raise IOError( - f"No matching directory '{pattern}' in {tile_out_dir} found" - ) + raise IOError(f"No matching directory '{pattern}' in {tile_out_dir} found") if len(subdirs) != 1: raise IOError( f"Exactly one directory natching {pattern} in {tile_out_dir} " @@ -217,8 +215,7 @@ def get_exp_IDs(tile_base_dir, tile_ID, verbose=False): # Replace dot with dash in tile ID tile_ID_sp = re.sub(r"\.", "-", tile_ID) exp_ID_file = ( - f"{subdirs[0]}/find_exposures_runner/output/" - + f"exp_numbers-{tile_ID_sp}.txt" + f"{subdirs[0]}/find_exposures_runner/output/" + f"exp_numbers-{tile_ID_sp}.txt" ) exp_IDs = [] @@ -266,7 +263,7 @@ def get_paths(exp_base_dir, exp_shdu_IDs, pattern): f"Exactly one directory matching {pattern} in {path} expected," + f" not {n_subdirs}" ) - #print(msg) + # print(msg) # More than one match: sort according to name = creation time subdirs = sorted(subdirs) if n_subdirs == 0: @@ -291,9 +288,7 @@ def create_links_paths(tile_base_dir, tile_ID, paths, verbose=False): src_existing = os.readlink(dst) if src_existing == src: if verbose: - print( - f"Warning: {src} <- {dst} already exists, no link created" - ) + print(f"Warning: {src} <- {dst} already exists, no link created") continue else: idx = 1 diff --git a/scripts/python/merge_final_cat.py b/scripts/python/merge_final_cat.py index 9d9c10d21..b152e0b01 100755 --- a/scripts/python/merge_final_cat.py +++ b/scripts/python/merge_final_cat.py @@ -286,7 +286,6 @@ def get_data(path, hdu_num, param_list): def main(argv=None): - # Set default parameters p_def = params_default() diff --git a/scripts/python/sqlite_get_ccd_names.py b/scripts/python/sqlite_get_ccd_names.py index a2a702b35..29b28473c 100644 --- a/scripts/python/sqlite_get_ccd_names.py +++ b/scripts/python/sqlite_get_ccd_names.py @@ -4,7 +4,6 @@ # from sqlite PSF interpolation information file. - import os import sys import glob @@ -14,19 +13,18 @@ def get_ccds_from_file(fname): - """Return set of CCD names from sqlite file. - """ + """Return set of CCD names from sqlite file.""" # Open sqlite file psf_vign_cat = SqliteDict(fname) - + # Initialise set of CCD names ccds = set() # Lazy iteration (do not store list in variable). # Keys in postage stamp file are object (galaxy) IDs for which # the PSF postage stamp is used elsehere, - #for obj_ID in tqdm(psf_vign_cat.keys(), desc=f"Processing {fname}"): + # for obj_ID in tqdm(psf_vign_cat.keys(), desc=f"Processing {fname}"): keys = psf_vign_cat.keys() for obj_ID in tqdm(keys, desc=f"Processing {fname}"): @@ -41,8 +39,7 @@ def get_ccds_from_file(fname): def get_all_ccds(filenames): - """Return set of CCD names from list of sqlite files. - """ + """Return set of CCD names from list of sqlite files.""" all_ccds = set() for fname in tqdm(filenames, desc="Overall progress"): @@ -61,8 +58,8 @@ def main(argv): for ID in iterable: subdir = f"{ID.path}/output" if os.path.exists(subdir): - #iterable_sub = tqdm(iterable_sub, desc="module_outdirs", leave=False) - #with iterable_sub as entries: + # iterable_sub = tqdm(iterable_sub, desc="module_outdirs", leave=False) + # with iterable_sub as entries: with os.scandir(subdir) as entries: for entry in entries: if entry.name.startswith("run_sp_tile_PsViSmVi_20"): @@ -83,5 +80,3 @@ def main(argv): if __name__ == "__main__": sys.exit(main(sys.argv)) - - diff --git a/scripts/python/stats_global.py b/scripts/python/stats_global.py index b3a6964b7..3a93b2ef5 100755 --- a/scripts/python/stats_global.py +++ b/scripts/python/stats_global.py @@ -242,9 +242,7 @@ def gather_values(paths, verbose=False): values[key].append(val) else: if verbose: - print( - "NaN found in file '{}', key '{}'".format(path, key) - ) + print("NaN found in file '{}', key '{}'".format(path, key)) if verbose: print("{} keys created".format(len(values))) @@ -396,9 +394,7 @@ def plot_histograms(hists, config=None, output_dir=".", verbose=False): if verbose: print("Creating files '{}.*'".format(file_base)) - plt.savefig( - "{}/{}.png".format(output_dir, file_base), bbox_inches="tight" - ) + plt.savefig("{}/{}.png".format(output_dir, file_base), bbox_inches="tight") np.savetxt( "{}/{}.txt".format(output_dir, file_base), np.transpose([bins, freq]), @@ -434,9 +430,7 @@ def get_config(config_path, verbose=False): print("Reading configuration file '{}'".format(config_path)) if not os.path.exists(config_path): - raise OSError( - "Configuration file '{}' does not exist".format(config_path) - ) + raise OSError("Configuration file '{}' does not exist".format(config_path)) conf = CustomParser() conf.read(config_path) @@ -477,9 +471,7 @@ def main(argv=None): hists = compute_histograms(values, config=config, verbose=param.verbose) if os.path.isfile(param.output_dir): - raise OSError( - "Output path '{}' is a regular file" "".format(param.output_dir) - ) + raise OSError("Output path '{}' is a regular file" "".format(param.output_dir)) if not os.path.isdir(param.output_dir): os.mkdir(param.output_dir) diff --git a/scripts/python/summary_params_pre_v2.py b/scripts/python/summary_params_pre_v2.py index e9457e112..51f1ca250 100644 --- a/scripts/python/summary_params_pre_v2.py +++ b/scripts/python/summary_params_pre_v2.py @@ -20,9 +20,7 @@ def set_jobs_v2_pre_v2(patch, verbose): logging.FileHandler(log_file_name, mode="w"), logging.StreamHandler(), ] - logging.basicConfig( - level=logging.INFO, format="%(message)s", handlers=handlers - ) + logging.basicConfig(level=logging.INFO, format="%(message)s", handlers=handlers) logging.info(f"Checking main directory = {path_main}") @@ -87,9 +85,9 @@ def set_jobs_v2_pre_v2(patch, verbose): jobs["2"] = job_data( 2, ["run_sp_Uz", "run_sp_exp_SpMh"], - ["uncompress_fits_runner", "split_exp_runner"], + ["uncompress_fits_runner", "split_exp_runner"], ["tile_IDs", "shdus"], - n_mult=[1, 121], + n_mult=[1, 121], path_main=path_main, path_left="output", verbose=verbose, @@ -124,12 +122,11 @@ def set_jobs_v2_pre_v2(patch, verbose): n_mult=[1], path_main=path_main, path_left="exp_runs", - output_subdirs= "shdus", + output_subdirs="shdus", path_right="output", verbose=verbose, ) - jobs["16"] = job_data( 16, "run_sp_tile_Sx", @@ -152,7 +149,7 @@ def set_jobs_v2_pre_v2(patch, verbose): "run_sp_exp_SxSePsf", "run_sp_exp_SxSePsf", "run_sp_exp_SxSePsf", - #"run_sp_exp_Pi" + # "run_sp_exp_Pi" ], [ "sextractor_runner", @@ -221,7 +218,7 @@ def set_jobs_v2_pre_v2(patch, verbose): path_main=path_main, path_left="tile_runs", output_subdirs=[f"{tile_ID}/output" for tile_ID in list_tile_IDs_dot], - path_output=["output"] * n_sh + ["logs"], + path_output=["output"] * n_sh + ["logs"], special=[False] * n_sh + [True], output_path_missing_IDs=output_path_missing_IDs, verbose=verbose, @@ -250,26 +247,24 @@ def set_jobs_v2_pre_v2(patch, verbose): ) # Post-processing -# jobs["1024"] = job_data( -# "1024", -# ["run_sp_combined_final"], -# ["make_catalog_runner"], -# "tile_IDs", -# path_main=path_main, -# path_left="output", -# verbose=verbose, -# ) + # jobs["1024"] = job_data( + # "1024", + # ["run_sp_combined_final"], + # ["make_catalog_runner"], + # "tile_IDs", + # path_main=path_main, + # path_left="output", + # verbose=verbose, + # ) -# jobs["2048"] = job_data( -# "2048", -# "run_sp_combined_psf", -# ["psfex_interp_runner"], -# "shdus", -# path_main=path_main, -# path_left="output", -# verbose=verbose, -# ) + # jobs["2048"] = job_data( + # "2048", + # "run_sp_combined_psf", + # ["psfex_interp_runner"], + # "shdus", + # path_main=path_main, + # path_left="output", + # verbose=verbose, + # ) return jobs, list_tile_IDs_dot - - diff --git a/scripts/python/summary_run.py b/scripts/python/summary_run.py index f24d6574d..669adc14f 100755 --- a/scripts/python/summary_run.py +++ b/scripts/python/summary_run.py @@ -32,27 +32,17 @@ def main(argv=None): if os.path.exists(exp_IDs_path): # Read exposure ID list if file exists all_exposures = get_IDs_from_file(exp_IDs_path) - par_runtime = update_par_runtime_after_find_exp( - par_runtime, all_exposures - ) - - if ( - not os.path.exists(exp_IDs_path) - or not job_exclusive - or int(job_exclusive) & 1 - ): + par_runtime = update_par_runtime_after_find_exp(par_runtime, all_exposures) + + if not os.path.exists(exp_IDs_path) or not job_exclusive or int(job_exclusive) & 1: # Run job 1 if exposure ID list file does not exist or # job_exclusive is 1 or not set key = "1" jobs[key].print_intro() jobs[key].check_numbers(par_runtime=par_runtime, indices=[0, 1]) - all_exposures = get_all_exposures( - jobs[key]._paths_in_dir[1], verbose=True - ) - par_runtime = update_par_runtime_after_find_exp( - par_runtime, all_exposures - ) + all_exposures = get_all_exposures(jobs[key]._paths_in_dir[1], verbose=True) + par_runtime = update_par_runtime_after_find_exp(par_runtime, all_exposures) jobs[key].write_IDs_to_file("exp_numbers.txt", all_exposures) diff --git a/scripts/python/vignets2image.py b/scripts/python/vignets2image.py index 60933173c..e439ce324 100755 --- a/scripts/python/vignets2image.py +++ b/scripts/python/vignets2image.py @@ -69,9 +69,7 @@ def main(argv=None): image, nx = map_vignet(hdu[2].data["VIGNET"], "float32") print("file = {}, nx = {}".format(input_path, nx)) - fout = io.FITSCatalog( - output_path, open_mode=io.BaseCatalog.OpenMode.ReadWrite - ) + fout = io.FITSCatalog(output_path, open_mode=io.BaseCatalog.OpenMode.ReadWrite) fout.save_as_fits(image, image=True) return 0 diff --git a/shapepipe/modules/execute_example_runner.py b/shapepipe/modules/execute_example_runner.py index 2872d608c..c34ef6c76 100644 --- a/shapepipe/modules/execute_example_runner.py +++ b/shapepipe/modules/execute_example_runner.py @@ -28,9 +28,7 @@ def execute_example_runner( ): """Define The Execute Example Runner.""" command_line = f"head {input_file_list[0]}" - output_file_name = ( - f'{run_dirs["output"]}/head_output{file_number_string}.txt' - ) + output_file_name = f'{run_dirs["output"]}/head_output{file_number_string}.txt' stdout, stderr = execute(command_line) diff --git a/shapepipe/modules/get_images_package/get_images.py b/shapepipe/modules/get_images_package/get_images.py index 631a876f2..eefc53677 100644 --- a/shapepipe/modules/get_images_package/get_images.py +++ b/shapepipe/modules/get_images_package/get_images.py @@ -153,9 +153,7 @@ def process(self, input_dir, output_dir): # Get unique number list image_number_list = list(set(flat_list)) - self._w_log.info( - f"Number of unique image IDs = {len(image_number_list)}" - ) + self._w_log.info(f"Number of unique image IDs = {len(image_number_list)}") # Create array to make it compatible with input dir nitem = len(input_dir) @@ -244,10 +242,7 @@ def get_file_list( fbase = re.sub(self._input_numbering, number, in_pattern) ext_final = in_ext - if ( - use_output_file_pattern - and self._output_file_pattern[idx] == "*" - ): + if use_output_file_pattern and self._output_file_pattern[idx] == "*": # retrieve all input files to output dir, do not append # extension fpath = in_path @@ -284,9 +279,7 @@ def retrieve(self, all_inputs, all_outputs_orig, all_outputs_renamed): ) if path: if len(path) == self._n_expected: - self._w_log.info( - f"{path[0]} found, skipping download" - ) + self._w_log.info(f"{path[0]} found, skipping download") continue else: self._w_log.info( @@ -346,8 +339,7 @@ def retrieve_one(self, in_path, out_path_orig, out_path_renamed): except Exception: attempt += 1 self._w_log.info( - "Error with command vcp, attempt " - + f"{attempt}/{self._n_try}" + "Error with command vcp, attempt " + f"{attempt}/{self._n_try}" ) sys.argv = None @@ -362,9 +354,7 @@ def retrieve_one(self, in_path, out_path_orig, out_path_renamed): # Get all input file names if INPUT_FILE_PATTERN contains '*' all_src = glob.glob(src) if len(all_src) == 0: - raise IndexError( - f"No input file found corresponding to '{src}'" - ) + raise IndexError(f"No input file found corresponding to '{src}'") dst = out_path_renamed for src in all_src: diff --git a/shapepipe/modules/get_images_runner.py b/shapepipe/modules/get_images_runner.py index fb25e0e8b..b1a03b15a 100644 --- a/shapepipe/modules/get_images_runner.py +++ b/shapepipe/modules/get_images_runner.py @@ -32,14 +32,11 @@ def get_images_runner( retrieve_ok = ["vos", "symlink"] if retrieve_method not in retrieve_ok: raise ValueError( - f"key RETRIEVE={retrieve_method} is invalid, " - + f"must be in {retrieve_ok}" + f"key RETRIEVE={retrieve_method} is invalid, " + f"must be in {retrieve_ok}" ) if config.has_option(module_config_sec, "RETRIEVE_OPTIONS"): - retrieve_options = config.getexpanded( - module_config_sec, "RETRIEVE_OPTIONS" - ) + retrieve_options = config.getexpanded(module_config_sec, "RETRIEVE_OPTIONS") else: retrieve_options = None @@ -52,9 +49,7 @@ def get_images_runner( input_dir = config.getlist(module_config_sec, "INPUT_PATH") input_file_pattern = config.getlist(module_config_sec, "INPUT_FILE_PATTERN") input_file_ext = config.getlist(module_config_sec, "INPUT_FILE_EXT") - output_file_pattern = config.getlist( - module_config_sec, "OUTPUT_FILE_PATTERN" - ) + output_file_pattern = config.getlist(module_config_sec, "OUTPUT_FILE_PATTERN") input_numbering = config.get(module_config_sec, "INPUT_NUMBERING") @@ -65,9 +60,7 @@ def get_images_runner( # Flags to check for already retrieved files if config.has_option(module_config_sec, "CHECK_EXISTING_DIR"): - check_existing_dir = config.getexpanded( - module_config_sec, "CHECK_EXISTING_DIR" - ) + check_existing_dir = config.getexpanded(module_config_sec, "CHECK_EXISTING_DIR") if config.has_option(module_config_sec, "N_EXPECTED"): n_expected = config.getint(module_config_sec, "N_EXPECTED") else: diff --git a/shapepipe/modules/make_cat_package/make_cat.py b/shapepipe/modules/make_cat_package/make_cat.py index c7aa1e513..628f1f809 100644 --- a/shapepipe/modules/make_cat_package/make_cat.py +++ b/shapepipe/modules/make_cat_package/make_cat.py @@ -101,11 +101,7 @@ def save_sextractor_data(final_cat_file, sexcat_path, remove_vignet=True): cat_size = len(data) tile_id = float( - ".".join( - re.split("-", os.path.splitext(os.path.split(sexcat_path)[1])[0])[ - 1: - ] - ) + ".".join(re.split("-", os.path.splitext(os.path.split(sexcat_path)[1])[0])[1:]) ) tile_id_array = np.ones(cat_size) * tile_id @@ -254,10 +250,7 @@ def _update_dict(self, key_string, value): """ self._output_dict = { **self._output_dict, - **{ - f"{key_string}{key_end}": np.copy(value) - for key_end in self._key_ends - }, + **{f"{key_string}{key_end}": np.copy(value) for key_end in self._key_ends}, } def _add2dict(self, key, value, index=None): @@ -576,9 +569,7 @@ def _save_psf_data(self, galaxy_psf_path): ) self._add2dict(f"PSF_ELL_{epoch + 1}", e_psf, idx) - psf_fwhm = galaxy.sigma_to_fwhm( - gpc_data["SHAPES"]["SIGMA_PSF_HSM"] - ) + psf_fwhm = galaxy.sigma_to_fwhm(gpc_data["SHAPES"]["SIGMA_PSF_HSM"]) self._add2dict(f"PSF_FWHM_{epoch + 1}", psf_fwhm, idx) flag_psf = gpc_data["SHAPES"]["FLAG_PSF_HSM"] diff --git a/shapepipe/modules/make_cat_runner.py b/shapepipe/modules/make_cat_runner.py index 17ead7f05..e56ca6c90 100644 --- a/shapepipe/modules/make_cat_runner.py +++ b/shapepipe/modules/make_cat_runner.py @@ -76,9 +76,7 @@ def make_cat_runner( ) for shape_type in shape_type_list: if shape_type.lower() not in ["ngmix", "galsim"]: - raise ValueError( - "SHAPE_MEASUREMENT_TYPE must be in [ngmix, galsim]" - ) + raise ValueError("SHAPE_MEASUREMENT_TYPE must be in [ngmix, galsim]") # Fetch PSF data option if config.has_option(module_config_sec, "SAVE_PSF_DATA"): @@ -102,12 +100,7 @@ def make_cat_runner( w_log.info("No sm cat input, setting spread model to 99") n_obj make_cat.save_sm_data( - final_cat_file, - sexcat_sm_path, - do_classif, - star_thresh, - gal_thresh, - n_obj=n_obj + final_cat_file, sexcat_sm_path, do_classif, star_thresh, gal_thresh, n_obj=n_obj ) # Save shape data @@ -115,9 +108,7 @@ def make_cat_runner( w_log.info("Save shape measurement data") for shape_type in shape_type_list: w_log.info(f"Save {shape_type.lower()} data") - cat_path = ( - shape2_cat_path if shape_type == "galsim" else shape1_cat_path - ) + cat_path = shape2_cat_path if shape_type == "galsim" else shape1_cat_path sc_inst.process(shape_type.lower(), cat_path) if save_psf: sc_inst.process("psf", galaxy_psf_path) diff --git a/shapepipe/modules/mask_package/mask.py b/shapepipe/modules/mask_package/mask.py index 6f541bd68..7aa23a707 100644 --- a/shapepipe/modules/mask_package/mask.py +++ b/shapepipe/modules/mask_package/mask.py @@ -152,9 +152,7 @@ def _get_config(self): } if conf.has_option("PROGRAM_PATH", "WW_PATH"): - self._config["PATH"]["WW"] = conf.getexpanded( - "PROGRAM_PATH", "WW_PATH" - ) + self._config["PATH"]["WW"] = conf.getexpanded("PROGRAM_PATH", "WW_PATH") else: self._config["PATH"]["WW"] = "ww" self._config["PATH"]["WW_configfile"] = conf.getexpanded( @@ -261,9 +259,7 @@ def _get_config(self): self._config["MD"]["thresh_remove"] = conf.getfloat( "MD_PARAMETERS", "MD_THRESH_REMOVE" ) - self._config["MD"]["remove"] = conf.getboolean( - "MD_PARAMETERS", "MD_REMOVE" - ) + self._config["MD"]["remove"] = conf.getboolean("MD_PARAMETERS", "MD_REMOVE") def _set_image_coordinates(self): """Set Image Coordinates. @@ -309,8 +305,7 @@ def make_mask(self): """ output_file_name = ( - f"{self._img_prefix}" - + f"{self._outname_base}{self._img_number}.fits" + f"{self._img_prefix}" + f"{self._outname_base}{self._img_number}.fits" ) if os.path.exists(f"{self._check_existing_dir}//{output_file_name}"): return None, None @@ -428,15 +423,11 @@ def make_mask(self): general_stdout += f"\n\nrm reg file\n{self._rm_reg_stdout}" if self._rm_reg_stderr != "": general_stderr += f"\n\nrm reg file\n{self._rm_reg_stderr}" - if hasattr(self, "_rm_fits1_stderr") or hasattr( - self, "_rm_fits1_stdout" - ): + if hasattr(self, "_rm_fits1_stderr") or hasattr(self, "_rm_fits1_stdout"): general_stdout += f"\n\nrm fits1 file\n{self._rm_fits1_stdout}" if self._rm_fits1_stderr != "": general_stderr += f"\n\nrm fits1 file\n{self._rm_fits1_stderr}" - if hasattr(self, "_rm_fits2_stderr") or hasattr( - self, "_rm_fits2_stdout" - ): + if hasattr(self, "_rm_fits2_stderr") or hasattr(self, "_rm_fits2_stdout"): general_stdout += f"\n\nrm fits2 file\n{self._rm_fits2_stdout}" if self._rm_fits2_stderr != "": general_stderr += f"\n\nrm fits2 file\n{self._rm_fits2_stderr}" @@ -582,9 +573,7 @@ def mask_dso( """ if size_plus < 0: - raise ValueError( - "deep-sky mask size increase variable cannot be negative" - ) + raise ValueError("deep-sky mask size increase variable cannot be negative") if cat_path is None: raise ValueError("Path to deep-sky object catalogue not provided") @@ -670,9 +659,7 @@ def mask_dso( # The following accounts for deep-sky centers outside of image, # without creating masks for coordinates out of range y_c, x_c = np.ogrid[0:ny, 0:nx] - mask_tmp = (x_c - m_center[0]) ** 2 + ( - y_c - m_center[1] - ) ** 2 <= r_pix**2 + mask_tmp = (x_c - m_center[0]) ** 2 + (y_c - m_center[1]) ** 2 <= r_pix ** 2 flag[mask_tmp] = flag_value @@ -739,10 +726,7 @@ def sphere_dist(self, position1, position2): If input positions are not Numpy arrays """ - if ( - type(position1) is not np.ndarray - or type(position2) is not np.ndarray - ): + if type(position1) is not np.ndarray or type(position2) is not np.ndarray: raise ValueError("Object coordinates need to be a numpy.ndarray") p1 = (np.pi / 180.0) * np.hstack( @@ -787,17 +771,13 @@ def _get_image_radius(self, center=None): """ if center is None: - return ( - self.sphere_dist(self._fieldcenter["pix"], np.zeros(2)) / 60.0 - ) + return self.sphere_dist(self._fieldcenter["pix"], np.zeros(2)) / 60.0 else: if isinstance(center, np.ndarray): return self.sphere_dist(center, np.zeros(2)) / 60.0 else: - raise TypeError( - "Image center coordinates has to be a numpy.ndarray" - ) + raise TypeError("Image center coordinates has to be a numpy.ndarray") def _make_star_cat(self, CDSclient_output): """Make Star Catalogue. @@ -899,9 +879,7 @@ def _create_mask( else: reg = self._config[types]["reg_file"] - mask_model = np.loadtxt( - self._config[types]["maskmodel_path"] - ).transpose() + mask_model = np.loadtxt(self._config[types]["maskmodel_path"]).transpose() mask_reg = open(reg, "w") stars_used = [[], [], []] @@ -954,7 +932,7 @@ def _create_mask( poly = "polygon(" for x, y in zip(mask_model[0], mask_model[1]): angle = np.arctan2(y, x) - ll = stars_used[2][idx] * np.sqrt(x**2 + y**2) + ll = stars_used[2][idx] * np.sqrt(x ** 2 + y ** 2) xnew = ll * np.cos(angle) ynew = ll * np.sin(angle) poly = ( @@ -1034,10 +1012,7 @@ def _exec_WW(self, types="HALO"): elif types == "ALL": default_reg = [ - ( - f'{self._config["PATH"]["temp_dir"]}' - + f"halo{self._img_number}.reg" - ), + (f'{self._config["PATH"]["temp_dir"]}' + f"halo{self._img_number}.reg"), ( f'{self._config["PATH"]["temp_dir"]}' + f"spike{self._img_number}.reg" @@ -1052,12 +1027,8 @@ def _exec_WW(self, types="HALO"): reg = default_reg for idx in range(2): - if not ( - file_io.BaseCatalogue(reg[idx])._file_exists(reg[idx]) - ): - raise ( - file_io.BaseCatalogue.CatalogFileNotFound(reg[idx]) - ) + if not (file_io.BaseCatalogue(reg[idx])._file_exists(reg[idx])): + raise (file_io.BaseCatalogue.CatalogFileNotFound(reg[idx])) cmd = ( f'{self._config["PATH"]["WW"]} ' @@ -1082,12 +1053,8 @@ def _exec_WW(self, types="HALO"): ] for idx in range(2): - if not ( - file_io.BaseCatalogue(reg[idx])._file_exists(reg[idx]) - ): - raise ( - file_io.BaseCatalogue.CatalogFileNotFound(reg[idx]) - ) + if not (file_io.BaseCatalogue(reg[idx])._file_exists(reg[idx])): + raise (file_io.BaseCatalogue.CatalogFileNotFound(reg[idx])) cmd = ( f'{self._config["PATH"]["WW"]} ' diff --git a/shapepipe/modules/mask_runner.py b/shapepipe/modules/mask_runner.py index 0cbec20e2..bbb2be4e4 100644 --- a/shapepipe/modules/mask_runner.py +++ b/shapepipe/modules/mask_runner.py @@ -52,9 +52,9 @@ def mask_runner( # Set options for 4 inputs elif n_inputs == 4: - if config.getboolean( - module_config_sec, "USE_EXT_FLAG" - ) and config.getboolean(module_config_sec, "USE_EXT_STAR"): + if config.getboolean(module_config_sec, "USE_EXT_FLAG") and config.getboolean( + module_config_sec, "USE_EXT_STAR" + ): ext_flag_name = input_file_list[2] ext_star_cat = input_file_list[3] else: @@ -92,9 +92,7 @@ def mask_runner( # Path to check for already created mask files if config.has_option(module_config_sec, "CHECK_EXISTING_DIR"): - check_existing_dir = config.getexpanded( - module_config_sec, "CHECK_EXISTING_DIR" - ) + check_existing_dir = config.getexpanded(module_config_sec, "CHECK_EXISTING_DIR") else: check_existing_dir = None diff --git a/shapepipe/modules/match_external_package/match_external.py b/shapepipe/modules/match_external_package/match_external.py index 218a231e7..06d6e9944 100644 --- a/shapepipe/modules/match_external_package/match_external.py +++ b/shapepipe/modules/match_external_package/match_external.py @@ -206,11 +206,7 @@ def process(self): # Get indices in internal and external catalogues of pair-wise # matches w = np.array( - [ - (idx, ide) - for (idx, ide) in enumerate(indices) - if indices_close[idx] - ] + [(idx, ide) for (idx, ide) in enumerate(indices) if indices_close[idx]] ) id_sub = w[:, 0] id_ext_sub = w[:, 1] @@ -225,9 +221,7 @@ def process(self): id_data = id_sub id_ext = id_ext_sub - self._w_log.info( - f"{len(id_sub)} objects matched out of {len(indices)}." - ) + self._w_log.info(f"{len(id_sub)} objects matched out of {len(indices)}.") # Copy matched objects from internal catalogue to output data matched = {} diff --git a/shapepipe/modules/match_external_runner.py b/shapepipe/modules/match_external_runner.py index 4df5ac0c2..c08266a3b 100644 --- a/shapepipe/modules/match_external_runner.py +++ b/shapepipe/modules/match_external_runner.py @@ -41,9 +41,7 @@ def match_external_runner( mode = config.get(module_config_sec, "MODE") valid_modes = ("CLASSIC", "MULTI-EPOCH") if mode not in valid_modes: - raise ValueError( - f"mode '{mode}' is invalid, must be one of {valid_modes}." - ) + raise ValueError(f"mode '{mode}' is invalid, must be one of {valid_modes}.") # External data external_cat_path = config.getexpanded( @@ -91,9 +89,7 @@ def match_external_runner( # Set output file path file_ext = "fits" - output_path = ( - f'{run_dirs["output"]}/{prefix}{file_number_string}.' + f"{file_ext}" - ) + output_path = f'{run_dirs["output"]}/{prefix}{file_number_string}.' + f"{file_ext}" # Create instance of MatchCats match_cats_inst = MatchCats( diff --git a/shapepipe/modules/mccd_fit_runner.py b/shapepipe/modules/mccd_fit_runner.py index 58e367231..c4d8af10e 100644 --- a/shapepipe/modules/mccd_fit_runner.py +++ b/shapepipe/modules/mccd_fit_runner.py @@ -56,9 +56,7 @@ def mccd_fit_runner( ) else: - raise ValueError( - 'mccd_fit_runner should be called when the MODE is "FIT".' - ) + raise ValueError('mccd_fit_runner should be called when the MODE is "FIT".') # No return objects return None, None diff --git a/shapepipe/modules/mccd_fit_val_runner.py b/shapepipe/modules/mccd_fit_val_runner.py index 26623c2a7..73f040813 100644 --- a/shapepipe/modules/mccd_fit_val_runner.py +++ b/shapepipe/modules/mccd_fit_val_runner.py @@ -61,9 +61,7 @@ def mccd_fit_val_runner( ) # Fitted model is found in the output directory - mccd_model_path = ( - output_dir + fit_saving_name + file_number_string + ".npy" - ) + mccd_model_path = output_dir + fit_saving_name + file_number_string + ".npy" aux_mccd.mccd_validation_pipeline( teststar_path=teststar_path, diff --git a/shapepipe/modules/mccd_package/mccd_interpolation_script.py b/shapepipe/modules/mccd_package/mccd_interpolation_script.py index 4d3f776fa..fabdcf917 100644 --- a/shapepipe/modules/mccd_package/mccd_interpolation_script.py +++ b/shapepipe/modules/mccd_package/mccd_interpolation_script.py @@ -213,8 +213,7 @@ def _get_psfshapes(self): raise ImportError("Galsim is required to get shapes information") psf_moms = [ - hsm.FindAdaptiveMom(Image(psf), strict=False) - for psf in self.interp_PSFs + hsm.FindAdaptiveMom(Image(psf), strict=False) for psf in self.interp_PSFs ] self.psf_shapes = np.array( @@ -307,15 +306,9 @@ def _get_psfexcatdict(self, psfex_cat_path): psfex_cat.open() psfex_cat_dict = {} - psfex_cat_dict["SOURCE_NUMBER"] = np.copy( - psfex_cat.get_data()["SOURCE_NUMBER"] - ) - psfex_cat_dict["DELTAX_IMAGE"] = np.copy( - psfex_cat.get_data()["DELTAX_IMAGE"] - ) - psfex_cat_dict["DELTAY_IMAGE"] = np.copy( - psfex_cat.get_data()["DELTAY_IMAGE"] - ) + psfex_cat_dict["SOURCE_NUMBER"] = np.copy(psfex_cat.get_data()["SOURCE_NUMBER"]) + psfex_cat_dict["DELTAX_IMAGE"] = np.copy(psfex_cat.get_data()["DELTAX_IMAGE"]) + psfex_cat_dict["DELTAY_IMAGE"] = np.copy(psfex_cat.get_data()["DELTAY_IMAGE"]) psfex_cat_dict["CHI2_PSF"] = np.copy(psfex_cat.get_data()["CHI2_PSF"]) return psfex_cat_dict @@ -415,9 +408,7 @@ def _interpolate_me(self): n_epoch = np.copy(cat.get_data()[key_ne]) list_ext_name = cat.get_ext_name() - hdu_ind = [ - i for i in range(len(list_ext_name)) if "EPOCH" in list_ext_name[i] - ] + hdu_ind = [i for i in range(len(list_ext_name)) if "EPOCH" in list_ext_name[i]] final_list = [] for hdu_index in hdu_ind: @@ -464,9 +455,7 @@ def _interpolate_me(self): ) continue - if isinstance(self.interp_PSFs, str) and ( - self.interp_PSFs == BAD_CHI2 - ): + if isinstance(self.interp_PSFs, str) and (self.interp_PSFs == BAD_CHI2): self._w_log.info( f"Bad chi2 for the psf model in the ccd {ccd} of the" + f" exposure {exp_name}. Object inside this ccd" @@ -487,9 +476,7 @@ def _interpolate_me(self): if array_psf is None: array_psf = np.copy(self.interp_PSFs) else: - array_psf = np.concatenate( - (array_psf, np.copy(self.interp_PSFs)) - ) + array_psf = np.concatenate((array_psf, np.copy(self.interp_PSFs))) if array_id is None: array_id = np.copy(obj_id) @@ -513,13 +500,9 @@ def _interpolate_me(self): if array_exp_name is None: array_exp_name = exp_name_tmp else: - array_exp_name = np.concatenate( - (array_exp_name, exp_name_tmp) - ) + array_exp_name = np.concatenate((array_exp_name, exp_name_tmp)) - final_list.append( - [array_id, array_psf, array_shape, array_exp_name] - ) + final_list.append([array_id, array_psf, array_shape, array_exp_name]) self._f_wcs_file.close() cat.close() @@ -537,18 +520,10 @@ def _interpolate_me(self): ] = final_list[j][1][where_res[0]] if self._compute_shape: shape_dict = {} - shape_dict["E1_PSF_HSM"] = final_list[j][2][ - where_res[0] - ][0] - shape_dict["E2_PSF_HSM"] = final_list[j][2][ - where_res[0] - ][1] - shape_dict["SIGMA_PSF_HSM"] = final_list[j][2][ - where_res[0] - ][2] - shape_dict["FLAG_PSF_HSM"] = final_list[j][2][ - where_res[0] - ][3] + shape_dict["E1_PSF_HSM"] = final_list[j][2][where_res[0]][0] + shape_dict["E2_PSF_HSM"] = final_list[j][2][where_res[0]][1] + shape_dict["SIGMA_PSF_HSM"] = final_list[j][2][where_res[0]][2] + shape_dict["FLAG_PSF_HSM"] = final_list[j][2][where_res[0]][3] output_dict[id_tmp][final_list[j][3][where_res[0]]][ "SHAPES" ] = shape_dict @@ -571,9 +546,7 @@ def _write_output_me(self, output_dict): """ # np.save(self._output_path+self._img_number, output_dict) - output_file = SqliteDict( - self._output_path + self._img_number + ".sqlite" - ) + output_file = SqliteDict(self._output_path + self._img_number + ".sqlite") for i in output_dict.keys(): output_file[str(i)] = output_dict[i] output_file.commit() diff --git a/shapepipe/modules/mccd_package/mccd_plot_utilities.py b/shapepipe/modules/mccd_package/mccd_plot_utilities.py index c7a65b5bd..9a84f288e 100644 --- a/shapepipe/modules/mccd_package/mccd_plot_utilities.py +++ b/shapepipe/modules/mccd_package/mccd_plot_utilities.py @@ -163,10 +163,7 @@ def mean_shapes_plot( """ # colorbar amplitude if wind is None: - vmax = ( - max(np.nanmax(ccd_maps), np.abs(np.nanmin(ccd_maps))) - * colorbar_ampl - ) + vmax = max(np.nanmax(ccd_maps), np.abs(np.nanmin(ccd_maps))) * colorbar_ampl vmin = -vmax * colorbar_ampl else: vmin, vmax = wind[0] * colorbar_ampl, wind[1] * colorbar_ampl @@ -331,15 +328,9 @@ def plot_meanshapes( all_Y = all_Y[~bad_stars] flagmask = flagmask[~bad_stars] - e1_res_rmse = np.sqrt( - np.mean((all_star_shapes[0, :] - all_psf_shapes[0, :]) ** 2) - ) - e2_res_rmse = np.sqrt( - np.mean((all_star_shapes[1, :] - all_psf_shapes[1, :]) ** 2) - ) - R2_res_rmse = np.sqrt( - np.mean((all_star_shapes[2, :] - all_psf_shapes[2, :]) ** 2) - ) + e1_res_rmse = np.sqrt(np.mean((all_star_shapes[0, :] - all_psf_shapes[0, :]) ** 2)) + e2_res_rmse = np.sqrt(np.mean((all_star_shapes[1, :] - all_psf_shapes[1, :]) ** 2)) + R2_res_rmse = np.sqrt(np.mean((all_star_shapes[2, :] - all_psf_shapes[2, :]) ** 2)) w_log.info(f"TOTAL e1 residual RMSE: {e1_res_rmse:.6e}\n") w_log.info(f"TOTAL e2 residual RMSE: {e2_res_rmse:.6e}\n") w_log.info(f"TOTAL R2 residual RMSE: {R2_res_rmse:.6e}\n") @@ -352,9 +343,7 @@ def plot_meanshapes( # handle different input catalogue types if psf_model_type == "mccd": - ccd_mask = ((all_CCDs.astype(int) == ccd_nb) * flagmask).astype( - bool - ) + ccd_mask = ((all_CCDs.astype(int) == ccd_nb) * flagmask).astype(bool) # Calculate shift to go from global coordinates to local # coordinates @@ -389,12 +378,8 @@ def plot_meanshapes( for xb in range(nb_pixel[0]): for yb in range(nb_pixel[1]): - bin_star_shapes = star_shapes[ - :, (xbins == xb + 1) * (ybins == yb + 1) - ] - bin_psf_shapes = psf_shapes[ - :, (xbins == xb + 1) * (ybins == yb + 1) - ] + bin_star_shapes = star_shapes[:, (xbins == xb + 1) * (ybins == yb + 1)] + bin_psf_shapes = psf_shapes[:, (xbins == xb + 1) * (ybins == yb + 1)] ccd_map[0, :3, xb, yb] = np.mean(bin_star_shapes, axis=1) ccd_map[1, :3, xb, yb] = np.mean(bin_psf_shapes, axis=1) ccd_map[:, 3, xb, yb] = bin_star_shapes.shape[1] @@ -414,23 +399,19 @@ def plot_meanshapes( f"e_1 (stars), std={np.nanstd(ccd_maps[:, 0, 0]):.5e}\n" + f"vmax={np.nanmax(abs(ccd_maps[:, 0, 0])):.4e}" ) - mean_shapes_plot( - ccd_maps[:, 0, 0], output_path + "e1s", title, wind=wind - ) + mean_shapes_plot(ccd_maps[:, 0, 0], output_path + "e1s", title, wind=wind) title = ( f"e_1 (model), std={np.nanstd(ccd_maps[:, 1, 0]):.5e}\n" + f"vmax={np.nanmax(abs(ccd_maps[:, 1, 0])):.4e}" ) - mean_shapes_plot( - ccd_maps[:, 1, 0], output_path + "e1m", title, wind=wind - ) + mean_shapes_plot(ccd_maps[:, 1, 0], output_path + "e1m", title, wind=wind) if auto_colorbar: wind = None e1_res = ccd_maps[:, 0, 0] - ccd_maps[:, 1, 0] e1_res = e1_res[~np.isnan(e1_res)] - rmse_e1 = np.sqrt(np.mean(e1_res**2)) + rmse_e1 = np.sqrt(np.mean(e1_res ** 2)) w_log.info(f"Bins: e1 residual RMSE: {rmse_e1:.6f}\n") if max_de: vmax = max_de @@ -464,16 +445,12 @@ def plot_meanshapes( f"e_2 (stars), std={np.nanstd(ccd_maps[:, 0, 1]):.5e}\n" + f"vmax={np.nanmax(abs(ccd_maps[:, 0, 1])):.4e}" ) - mean_shapes_plot( - ccd_maps[:, 0, 1], output_path + "e2s", title, wind=wind - ) + mean_shapes_plot(ccd_maps[:, 0, 1], output_path + "e2s", title, wind=wind) title = ( f"e_2 (model), std={np.nanstd(ccd_maps[:, 1, 1]):.5e}\n" + f"vmax={np.nanmax(abs(ccd_maps[:, 1, 1])):.4e}" ) - mean_shapes_plot( - ccd_maps[:, 1, 1], output_path + "e2m", title, wind=wind - ) + mean_shapes_plot(ccd_maps[:, 1, 1], output_path + "e2m", title, wind=wind) if auto_colorbar: wind = None @@ -481,7 +458,7 @@ def plot_meanshapes( e2_res = ccd_maps[:, 0, 1] - ccd_maps[:, 1, 1] e2_res = e2_res[~np.isnan(e2_res)] - rmse_e2 = np.sqrt(np.mean(e2_res**2)) + rmse_e2 = np.sqrt(np.mean(e2_res ** 2)) w_log.info(f"Bins: e2 residual RMSE: {rmse_e2:.6f}\n") if max_de: vmax = max_de @@ -539,16 +516,13 @@ def plot_meanshapes( wind = [ 0, np.nanmax( - np.abs( - (ccd_maps[:, 0, 2] - ccd_maps[:, 1, 2]) - / ccd_maps[:, 0, 2] - ) + np.abs((ccd_maps[:, 0, 2] - ccd_maps[:, 1, 2]) / ccd_maps[:, 0, 2]) ), ] colorbar_ampl = 1.0 R2_res = (ccd_maps[:, 0, 2] - ccd_maps[:, 1, 2]) / ccd_maps[:, 0, 2] R2_res = R2_res[~np.isnan(R2_res)] - rmse_r2 = np.sqrt(np.mean(R2_res**2)) + rmse_r2 = np.sqrt(np.mean(R2_res ** 2)) w_log.info(f"Bins: R2 residual RMSE: {rmse_r2:.6f}\n") if max_dr2: vmax = max_dr2 @@ -681,9 +655,9 @@ def plot_meanshapes( plt.close() plt.figure(figsize=(12, 6), dpi=300) - data_hist = ( - all_star_shapes[2, :] - all_psf_shapes[2, :] - ) / all_star_shapes[2, :] + data_hist = (all_star_shapes[2, :] - all_psf_shapes[2, :]) / all_star_shapes[ + 2, : + ] plt.hist( data_hist, bins=hist_bins, @@ -838,9 +812,7 @@ def neg_dash( if current_sign > 0: plt.errorbar(x, y, yerr=yerr, linestyle="-", label=lab, **errbkwargs) else: - plt.errorbar( - x, np.abs(y), yerr=yerr, linestyle="--", label=lab, **errbkwargs - ) + plt.errorbar(x, np.abs(y), yerr=yerr, linestyle="--", label=lab, **errbkwargs) if semilogx: plt.xscale("log") if semilogy: @@ -861,9 +833,7 @@ class new_BaseCorrelationFunctionSysTest(BaseCorrelationFunctionSysTest): """ - def make_catalogue( - self, data, config=None, use_as_k=None, use_chip_coords=False - ): + def make_catalogue(self, data, config=None, use_as_k=None, use_chip_coords=False): """Make Catalogue. Parameters @@ -1147,12 +1117,8 @@ def __call__( [ data["ra"], data["dec"], - data["g1"] - * (data["sigma"] - data["psf_sigma"]) - / data["sigma"], - data["g2"] - * (data["sigma"] - data["psf_sigma"]) - / data["sigma"], + data["g1"] * (data["sigma"] - data["psf_sigma"]) / data["sigma"], + data["g2"] * (data["sigma"] - data["psf_sigma"]) / data["sigma"], data["w"], ], names=["ra", "dec", "g1", "g2", "w"], @@ -1281,12 +1247,8 @@ def __call__( [ data2["ra"], data2["dec"], - data2["g1"] - * (data2["sigma"] - data2["psf_sigma"]) - / data2["sigma"], - data2["g2"] - * (data2["sigma"] - data2["psf_sigma"]) - / data2["sigma"], + data2["g1"] * (data2["sigma"] - data2["psf_sigma"]) / data2["sigma"], + data2["g2"] * (data2["sigma"] - data2["psf_sigma"]) / data2["sigma"], data2["w"], ], names=["ra", "dec", "g1", "g2", "w"], @@ -1385,12 +1347,8 @@ def __call__( [ data2["ra"], data2["dec"], - data2["g1"] - * (data2["sigma"] - data2["psf_sigma"]) - / data2["sigma"], - data2["g2"] - * (data2["sigma"] - data2["psf_sigma"]) - / data2["sigma"], + data2["g1"] * (data2["sigma"] - data2["psf_sigma"]) / data2["sigma"], + data2["g2"] * (data2["sigma"] - data2["psf_sigma"]) / data2["sigma"], data2["w"], ], names=["ra", "dec", "g1", "g2", "w"], diff --git a/shapepipe/modules/mccd_package/shapepipe_auxiliary_mccd.py b/shapepipe/modules/mccd_package/shapepipe_auxiliary_mccd.py index 44b7cf55b..54248a06e 100644 --- a/shapepipe/modules/mccd_package/shapepipe_auxiliary_mccd.py +++ b/shapepipe/modules/mccd_package/shapepipe_auxiliary_mccd.py @@ -179,9 +179,7 @@ def print_fun(x): # If the list is not empty # Concatenate, as fits can't handle list of numpy arrays and # turn into reg format - mccd_stars = mccd.utils.reg_format( - np.concatenate(mccd_star_list, axis=2) - ) + mccd_stars = mccd.utils.reg_format(np.concatenate(mccd_star_list, axis=2)) mccd_poss = np.concatenate(mccd_pos_list, axis=0) mccd_ccds = np.concatenate(mccd_ccd_list, axis=0) @@ -220,11 +218,7 @@ def print_fun(x): } saving_path = ( - output_path - + save_name - + separator - + catalog_id - + save_extension + output_path + save_name + separator + catalog_id + save_extension ) mccd.mccd_utils.save_to_fits(train_dic, saving_path) diff --git a/shapepipe/modules/mccd_preprocessing_runner.py b/shapepipe/modules/mccd_preprocessing_runner.py index f15287cf5..a891e6c02 100644 --- a/shapepipe/modules/mccd_preprocessing_runner.py +++ b/shapepipe/modules/mccd_preprocessing_runner.py @@ -66,9 +66,7 @@ def mccd_preprocessing_runner( min_n_stars_list = [1] else: - raise ValueError( - "MODE should be in ['FIT', FIT_VALIDATION', 'VALIDATION']." - ) + raise ValueError("MODE should be in ['FIT', FIT_VALIDATION', 'VALIDATION'].") # Use the outfile from the pipeline and ignore the output directory from # the MCCD config file diff --git a/shapepipe/modules/merge_starcat_package/merge_starcat.py b/shapepipe/modules/merge_starcat_package/merge_starcat.py index 9289be39e..7f4b3421a 100644 --- a/shapepipe/modules/merge_starcat_package/merge_starcat.py +++ b/shapepipe/modules/merge_starcat_package/merge_starcat.py @@ -111,9 +111,7 @@ def rmse_calc_2(values, sizes): Root mean square error """ - rmse = np.sqrt( - np.nansum(np.array(values) ** 2) / np.nansum(np.array(sizes)) - ) + rmse = np.sqrt(np.nansum(np.array(values) ** 2) / np.nansum(np.array(sizes))) return rmse @@ -184,7 +182,7 @@ def stats_calculator(val_ref, val_model): """ residual = val_ref - val_model - rmse = np.sqrt(np.mean(residual**2)) + rmse = np.sqrt(np.mean(residual ** 2)) mean = np.mean(residual) std_dev = np.std(residual) @@ -239,7 +237,7 @@ def process(self): starcat_j = fits.open(name[0], memmap=False, ignore_missing_simple=True) except ValueError: print(f"Error for file {name[0]}, check FITS file integrity") - #raise + # raise continue stars = np.copy(starcat_j[self._hdu_table].data["VIGNET_LIST"]) @@ -252,7 +250,7 @@ def process(self): masked_diffs = np.array( [(_star - _psf)[my_mask] for _star, _psf in zip(stars, psfs)] ) - masked_pix_val = np.sum(masked_diffs**2) + masked_pix_val = np.sum(masked_diffs ** 2) masked_pix_sum = np.sum(masked_diffs) # Star noise variance (using masked stars) @@ -270,16 +268,14 @@ def process(self): # if pix_val < 1e20: # Normalised pixel mse calculation - stars_norm_vals = np.sqrt(np.sum(stars**2, axis=(1, 2))) - psfs_norm_vals = np.sqrt(np.sum(psfs**2, axis=(1, 2))) + stars_norm_vals = np.sqrt(np.sum(stars ** 2, axis=(1, 2))) + psfs_norm_vals = np.sqrt(np.sum(psfs ** 2, axis=(1, 2))) # Select non zero stars & psfs non_zero_elems = np.logical_and( (psfs_norm_vals != 0), (stars_norm_vals != 0) ) # Calculate the filtered mse calculation - pix_filt_val = np.sum( - (stars[non_zero_elems] - psfs[non_zero_elems]) ** 2 - ) + pix_filt_val = np.sum((stars[non_zero_elems] - psfs[non_zero_elems]) ** 2) # Calculate the normalized (& filtered) mse calculation stars_norm_vals = stars_norm_vals[non_zero_elems].reshape(-1, 1, 1) psfs_norm_vals = psfs_norm_vals[non_zero_elems].reshape(-1, 1, 1) @@ -314,12 +310,8 @@ def process(self): model_var_size.append(model_var_val.size) # positions - x += list( - starcat_j[self._hdu_table].data["GLOB_POSITION_IMG_LIST"][:, 0] - ) - y += list( - starcat_j[self._hdu_table].data["GLOB_POSITION_IMG_LIST"][:, 1] - ) + x += list(starcat_j[self._hdu_table].data["GLOB_POSITION_IMG_LIST"][:, 0]) + y += list(starcat_j[self._hdu_table].data["GLOB_POSITION_IMG_LIST"][:, 1]) # RA and DEC positions try: @@ -344,28 +336,16 @@ def process(self): ) # shapes (convert sigmas to R^2) - g1_psf += list( - starcat_j[self._hdu_table].data["PSF_MOM_LIST"][:, 0] - ) - g2_psf += list( - starcat_j[self._hdu_table].data["PSF_MOM_LIST"][:, 1] - ) - size_psf += list( - starcat_j[self._hdu_table].data["PSF_MOM_LIST"][:, 2] ** 2 - ) + g1_psf += list(starcat_j[self._hdu_table].data["PSF_MOM_LIST"][:, 0]) + g2_psf += list(starcat_j[self._hdu_table].data["PSF_MOM_LIST"][:, 1]) + size_psf += list(starcat_j[self._hdu_table].data["PSF_MOM_LIST"][:, 2] ** 2) g1 += list(starcat_j[self._hdu_table].data["STAR_MOM_LIST"][:, 0]) g2 += list(starcat_j[self._hdu_table].data["STAR_MOM_LIST"][:, 1]) - size += list( - starcat_j[self._hdu_table].data["STAR_MOM_LIST"][:, 2] ** 2 - ) + size += list(starcat_j[self._hdu_table].data["STAR_MOM_LIST"][:, 2] ** 2) # flags - flag_psf += list( - starcat_j[self._hdu_table].data["PSF_MOM_LIST"][:, 3] - ) - flag_star += list( - starcat_j[self._hdu_table].data["STAR_MOM_LIST"][:, 3] - ) + flag_psf += list(starcat_j[self._hdu_table].data["PSF_MOM_LIST"][:, 3]) + flag_star += list(starcat_j[self._hdu_table].data["STAR_MOM_LIST"][:, 3]) # ccd id list ccd_nb += list(starcat_j[self._hdu_table].data["CCD_ID_LIST"]) @@ -441,9 +421,7 @@ def process(self): ) # Mask and transform to numpy arrays - flagmask = np.abs(np.array(flag_star) - 1) * np.abs( - np.array(flag_psf) - 1 - ) + flagmask = np.abs(np.array(flag_star) - 1) * np.abs(np.array(flag_psf) - 1) psf_e1 = np.array(g1_psf)[flagmask.astype(bool)] psf_e2 = np.array(g2_psf)[flagmask.astype(bool)] psf_r2 = np.array(size_psf)[flagmask.astype(bool)] @@ -538,16 +516,14 @@ def process(self): mag, snr, psfex_acc = [], [], [] ccd_nb = [] - self._w_log.info( - f"Merging {len(self._input_file_list)} star catalogues" - ) + self._w_log.info(f"Merging {len(self._input_file_list)} star catalogues") for name in self._input_file_list: try: starcat_j = fits.open(name[0], memmap=False, ignore_missing_simple=True) except OSError as e: print(f"Error while opening file '{name[0]}'") - #raise + # raise continue data_j = starcat_j[self._hdu_table].data @@ -745,9 +721,7 @@ def process(self): mag, snr = [], [] ccd_nb = [] - self._w_log.info( - f"Merging {len(self._input_file_list)} star catalogues" - ) + self._w_log.info(f"Merging {len(self._input_file_list)} star catalogues") for name in self._input_file_list: starcat_j = fits.open(name[0], memmap=False) diff --git a/shapepipe/modules/ngmix_package/ngmix.py b/shapepipe/modules/ngmix_package/ngmix.py index 001c76e25..92d302ab4 100644 --- a/shapepipe/modules/ngmix_package/ngmix.py +++ b/shapepipe/modules/ngmix_package/ngmix.py @@ -80,8 +80,7 @@ def __init__( if len(input_file_list) != 6: raise IndexError( - f"Input file list has length {len(input_file_list)}," - + " required is 6" + f"Input file list has length {len(input_file_list)}," + " required is 6" ) self._tile_cat_path = input_file_list[0] @@ -175,9 +174,7 @@ def get_prior(self): F_prior = ngmix.priors.FlatPrior(Fminval, Fmaxval) # Joint prior, combine all individual priors - prior = ngmix.joint_prior.PriorSimpleSep( - cen_prior, g_prior, T_prior, F_prior - ) + prior = ngmix.joint_prior.PriorSimpleSep(cen_prior, g_prior, T_prior, F_prior) return prior @@ -235,10 +232,7 @@ def compile_results(self, results): for idx in range(len(results)): for name in names: - mag = ( - -2.5 * np.log10(results[idx][name]["flux"]) - + self._zero_point - ) + mag = -2.5 * np.log10(results[idx][name]["flux"]) + self._zero_point mag_err = np.abs( -2.5 * results[idx][name]["flux_err"] @@ -246,19 +240,11 @@ def compile_results(self, results): ) output_dict[name]["id"].append(results[idx]["obj_id"]) - output_dict[name]["n_epoch_model"].append( - results[idx]["n_epoch_model"] - ) - output_dict[name]["moments_fail"].append( - results[idx]["moments_fail"] - ) + output_dict[name]["n_epoch_model"].append(results[idx]["n_epoch_model"]) + output_dict[name]["moments_fail"].append(results[idx]["moments_fail"]) output_dict[name]["ntry_fit"].append(results[idx][name]["ntry"]) - output_dict[name]["g1_psfo_ngmix"].append( - results[idx]["g_PSFo"][0] - ) - output_dict[name]["g2_psfo_ngmix"].append( - results[idx]["g_PSFo"][1] - ) + output_dict[name]["g1_psfo_ngmix"].append(results[idx]["g_PSFo"][0]) + output_dict[name]["g2_psfo_ngmix"].append(results[idx]["g_PSFo"][1]) output_dict[name]["g1_err_psfo_ngmix"].append( results[idx]["g_err_PSFo"][0] ) @@ -266,30 +252,18 @@ def compile_results(self, results): results[idx]["g_err_PSFo"][1] ) output_dict[name]["T_psfo_ngmix"].append(results[idx]["T_PSFo"]) - output_dict[name]["T_err_psfo_ngmix"].append( - results[idx]["T_err_PSFo"] - ) + output_dict[name]["T_err_psfo_ngmix"].append(results[idx]["T_err_PSFo"]) output_dict[name]["g1"].append(results[idx][name]["g"][0]) - output_dict[name]["g1_err"].append( - results[idx][name]["pars_err"][2] - ) + output_dict[name]["g1_err"].append(results[idx][name]["pars_err"][2]) output_dict[name]["g2"].append(results[idx][name]["g"][1]) - output_dict[name]["g2_err"].append( - results[idx][name]["pars_err"][3] - ) + output_dict[name]["g2_err"].append(results[idx][name]["pars_err"][3]) output_dict[name]["T"].append(results[idx][name]["T"]) output_dict[name]["T_err"].append(results[idx][name]["T_err"]) output_dict[name]["Tpsf"].append(results[idx][name]["Tpsf"]) - output_dict[name]["g1_psf"].append( - results[idx][name]["gpsf"][0] - ) - output_dict[name]["g2_psf"].append( - results[idx][name]["gpsf"][1] - ) + output_dict[name]["g1_psf"].append(results[idx][name]["gpsf"][0]) + output_dict[name]["g2_psf"].append(results[idx][name]["gpsf"][1]) output_dict[name]["flux"].append(results[idx][name]["flux"]) - output_dict[name]["flux_err"].append( - results[idx][name]["flux_err"] - ) + output_dict[name]["flux_err"].append(results[idx][name]["flux_err"]) output_dict[name]["mag"].append(mag) output_dict[name]["mag_err"].append(mag_err) @@ -301,9 +275,7 @@ def compile_results(self, results): raise KeyError("No SNR key (s2n, s2n_r) found in results") output_dict[name]["flags"].append(results[idx][name]["flags"]) - output_dict[name]["mcal_flags"].append( - results[idx]["mcal_flags"] - ) + output_dict[name]["mcal_flags"].append(results[idx]["mcal_flags"]) return output_dict @@ -325,7 +297,6 @@ def get_output_path(self, directory): """ return f"{directory}/ngmix{self._file_number_string}.fits" - def get_last_id(self, cat_path): """Get Last ID. @@ -371,7 +342,6 @@ def get_last_id(self, cat_path): return id_last - def save_results(self, output_dict): """Save Results. @@ -386,8 +356,7 @@ def save_results(self, output_dict): n_hdu = len(output_dict.keys()) if n_hdu != 5: raise IndexError( - f"FITS output file data has {n_hdu} HDUs," - + " expected are 5" + f"FITS output file data has {n_hdu} HDUs," + " expected are 5" ) output_name = self.get_output_path(self._output_dir) @@ -399,7 +368,7 @@ def save_results(self, output_dict): f_out.save_as_fits(output_dict[key], ext_name=key.upper()) return - with fits.open(output_name, mode='update') as hdul: + with fits.open(output_name, mode="update") as hdul: # Iterate through HDUs (assuming they are Binary Table HDUs with data) for idx, hdu in enumerate(hdul): @@ -422,10 +391,7 @@ def save_results(self, output_dict): # Verify that all column names in existing_data exist # in new_data_dict - if not all( - colname in new_data - for colname in existing_dtype.names - ): + if not all(colname in new_data for colname in existing_dtype.names): print("output_dict", [col for col in new_data]) print("existing_da", existing_data.dtype.names) raise ValueError( @@ -498,9 +464,7 @@ def process(self): count_batch = 0 if self._save_batch > 0: - self._w_log.info( - f"Batch save mode, save every {self._save_batch} objectsa" - ) + self._w_log.info(f"Batch save mode, save every {self._save_batch} objectsa") else: self._w_log.info(f"No batch mode") @@ -555,43 +519,45 @@ def process(self): self.check_key(str_id_tmp, flag_vign_cat, self._flag_vignet_path) self.check_key(str_id_tmp, weight_vign_cat, self._weight_vignet_path) if gal_vign_cat[str_id_tmp] == "empty": - self._w_log.info( - f"Skipping object {id_tmp}: empty galaxy vignet" - ) + self._w_log.info(f"Skipping object {id_tmp}: empty galaxy vignet") continue psf_expccd_name = list(psf_vign_cat[str(id_tmp)].keys()) for expccd_name_tmp in psf_expccd_name: - self.check_key(expccd_name_tmp, gal_vign_cat[str_id_tmp], self._gal_vignet_path) - self.check_key(expccd_name_tmp, bkg_vign_cat[str_id_tmp], self._bkg_vignet_path) - self.check_key(expccd_name_tmp, flag_vign_cat[str_id_tmp], self._flag_vignet_path) - self.check_key(expccd_name_tmp, weight_vign_cat[str_id_tmp], self._weight_vignet_path) + self.check_key( + expccd_name_tmp, gal_vign_cat[str_id_tmp], self._gal_vignet_path + ) + self.check_key( + expccd_name_tmp, bkg_vign_cat[str_id_tmp], self._bkg_vignet_path + ) + self.check_key( + expccd_name_tmp, flag_vign_cat[str_id_tmp], self._flag_vignet_path + ) + self.check_key( + expccd_name_tmp, + weight_vign_cat[str_id_tmp], + self._weight_vignet_path, + ) exp_name, ccd_n = re.split("-", expccd_name_tmp) - gal_vign_tmp = gal_vign_cat[str_id_tmp][expccd_name_tmp][ - "VIGNET" - ] + gal_vign_tmp = gal_vign_cat[str_id_tmp][expccd_name_tmp]["VIGNET"] if len(np.where(gal_vign_tmp.ravel() == 0)[0]) != 0: self._w_log.info( f"Skipping exp {expccd_name_tmp} for object {id_tmp}: zero-length galaxy vignet" ) continue - bkg_vign_tmp = bkg_vign_cat[str_id_tmp][expccd_name_tmp][ - "VIGNET" - ] + bkg_vign_tmp = bkg_vign_cat[str_id_tmp][expccd_name_tmp]["VIGNET"] gal_vign_sub_bkg = gal_vign_tmp - bkg_vign_tmp tile_vign_tmp = Ngmix.MegaCamFlip( np.copy(tile_vign[i_tile]), int(ccd_n) ) - flag_vign_tmp = flag_vign_cat[str_id_tmp][expccd_name_tmp][ - "VIGNET" - ] - flag_vign_tmp[np.where(tile_vign_tmp == -1e30)] = 2**10 + flag_vign_tmp = flag_vign_cat[str_id_tmp][expccd_name_tmp]["VIGNET"] + flag_vign_tmp[np.where(tile_vign_tmp == -1e30)] = 2 ** 10 v_flag_tmp = flag_vign_tmp.ravel() if len(np.where(v_flag_tmp != 0)[0]) / (51 * 51) > 1 / 3.0: self._w_log.info( @@ -599,9 +565,7 @@ def process(self): ) continue - weight_vign_tmp = weight_vign_cat[str_id_tmp][expccd_name_tmp][ - "VIGNET" - ] + weight_vign_tmp = weight_vign_cat[str_id_tmp][expccd_name_tmp]["VIGNET"] jacob_tmp = get_jacob( f_wcs_file[exp_name][int(ccd_n)]["WCS"], @@ -615,25 +579,19 @@ def process(self): Fscale = header_tmp["FSCALE"] gal_vign_scaled = gal_vign_sub_bkg * Fscale - weight_vign_scaled = weight_vign_tmp * 1 / Fscale**2 + weight_vign_scaled = weight_vign_tmp * 1 / Fscale ** 2 gal_vign.append(gal_vign_scaled) - psf_vign.append( - psf_vign_cat[str_id_tmp][expccd_name_tmp]["VIGNET"] - ) + psf_vign.append(psf_vign_cat[str_id_tmp][expccd_name_tmp]["VIGNET"]) sigma_psf.append( - psf_vign_cat[str_id_tmp][expccd_name_tmp]["SHAPES"][ - "SIGMA_PSF_HSM" - ] + psf_vign_cat[str_id_tmp][expccd_name_tmp]["SHAPES"]["SIGMA_PSF_HSM"] ) weight_vign.append(weight_vign_scaled) flag_vign.append(flag_vign_tmp) jacob_list.append(jacob_tmp) if len(gal_vign) == 0: - self._w_log.info( - f"Skipping object {id_tmp}: no exposure vignets added" - ) + self._w_log.info(f"Skipping object {id_tmp}: no exposure vignets added") continue try: res = do_ngmix_metacal( @@ -647,15 +605,12 @@ def process(self): self._pixel_scale, ) except Exception as ee: - self._w_log.info( - f"ngmix failed for object ID={id_tmp}.\nMessage: {ee}" - ) + self._w_log.info(f"ngmix failed for object ID={id_tmp}.\nMessage: {ee}") continue count = count + 1 count_batch = count_batch + 1 - res["obj_id"] = id_tmp res["n_epoch_model"] = len(gal_vign) final_res.append(res) @@ -664,7 +619,7 @@ def process(self): # Put batch results together res_dict = self.compile_results(final_res) - + # Save batch to disk self.save_results(res_dict) @@ -697,9 +652,7 @@ def process(self): # Save results self.save_results(res_dict) - self._w_log.info( - f"Saved {count} ({len(res_dict)}) objects to file" - ) + self._w_log.info(f"Saved {count} ({len(res_dict)}) objects to file") def get_guess( @@ -760,14 +713,12 @@ def get_guess( error_msg = hsm_shape.error_message if error_msg != "": - raise galsim.hsm.GalSimHSMError( - f"Error in adaptive moments :\n{error_msg}" - ) + raise galsim.hsm.GalSimHSMError(f"Error in adaptive moments :\n{error_msg}") if guess_flux_unit == "img": guess_flux = hsm_shape.moments_amp elif guess_flux_unit == "sky": - guess_flux = hsm_shape.moments_amp / pixel_scale**2 + guess_flux = hsm_shape.moments_amp / pixel_scale ** 2 else: raise ValueError( f"invalid guess_flux_unit '{guess_flux_unit}'," @@ -1025,9 +976,7 @@ def do_ngmix_metacal( # Gal guess try: - gal_guess_tmp = get_guess( - gals[n_e], pixel_scale, guess_size_type="sigma" - ) + gal_guess_tmp = get_guess(gals[n_e], pixel_scale, guess_size_type="sigma") except Exception: gal_guess_flag = False gal_guess_tmp = np.array([0.0, 0.0, 0.0, 0.0, 1, 100]) @@ -1057,7 +1006,7 @@ def do_ngmix_metacal( if len(np.where(weight_map == 0)[0]) != 0: gal_masked[weight_map == 0] = noise_img_gal[weight_map == 0] - weight_map *= 1 / sig_noise**2 + weight_map *= 1 / sig_noise ** 2 # Original PSF fit w_tmp = np.sum(weight_map) @@ -1126,9 +1075,7 @@ def do_ngmix_metacal( for key in sorted(obs_dict_mcal): - fres = make_galsimfit( - obs_dict_mcal[key], gal_model, gal_pars, prior=prior - ) + fres = make_galsimfit(obs_dict_mcal[key], gal_model, gal_pars, prior=prior) res["mcal_flags"] |= fres["flags"] tres = {} diff --git a/shapepipe/modules/pastecat_package/pastecat.py b/shapepipe/modules/pastecat_package/pastecat.py index 35941018a..d1279e4d1 100644 --- a/shapepipe/modules/pastecat_package/pastecat.py +++ b/shapepipe/modules/pastecat_package/pastecat.py @@ -94,8 +94,7 @@ def process(self): + "not found in input catalogue" ) if not ( - data[self._check_col_name] - == data_prev[self._check_col_name] + data[self._check_col_name] == data_prev[self._check_col_name] ).all(): raise Exception( f"Column check using key" diff --git a/shapepipe/modules/pastecat_runner.py b/shapepipe/modules/pastecat_runner.py index 4f659bffa..617bcd7aa 100644 --- a/shapepipe/modules/pastecat_runner.py +++ b/shapepipe/modules/pastecat_runner.py @@ -64,9 +64,7 @@ def paste_cat_runner( file_ext = "fits" # Set output path - output_path = ( - f'{run_dirs["output"]}/{prefix}' + f"{file_number_string}.{file_ext}" - ) + output_path = f'{run_dirs["output"]}/{prefix}' + f"{file_number_string}.{file_ext}" # Create rand cat class instance paste_cat_inst = PasteCat( diff --git a/shapepipe/modules/psfex_interp_package/psfex_interp.py b/shapepipe/modules/psfex_interp_package/psfex_interp.py index 367bb713f..e781d2c9b 100644 --- a/shapepipe/modules/psfex_interp_package/psfex_interp.py +++ b/shapepipe/modules/psfex_interp_package/psfex_interp.py @@ -75,9 +75,7 @@ def __init__( # Path to PSFEx output file self._dotpsf_path = dotpsf_path - if not isinstance(dotpsf_path, type(None)) and not os.path.isfile( - dotpsf_path - ): + if not isinstance(dotpsf_path, type(None)) and not os.path.isfile(dotpsf_path): raise ValueError(f"Cound not find file {dotpsf_path}.") # Path to catalogue containing galaxy positions @@ -128,10 +126,7 @@ def process(self): if self.interp_PSFs is None: self._interpolate() - if ( - isinstance(self.interp_PSFs, str) - and self.interp_PSFs == NOT_ENOUGH_STARS - ): + if isinstance(self.interp_PSFs, str) and self.interp_PSFs == NOT_ENOUGH_STARS: self._w_log.info( "Not enough stars to interpolate the psf in the file " + f"{self._dotpsf_path}." @@ -140,10 +135,7 @@ def process(self): self._w_log.info( f"Bad chi2 for the psf model in the file {self._dotpsf_path}." ) - elif ( - isinstance(self.interp_PSFs, str) - and self.interp_PSFs == FILE_NOT_FOUND - ): + elif isinstance(self.interp_PSFs, str) and self.interp_PSFs == FILE_NOT_FOUND: self._w_log.info(f"Psf model file {self._dotpsf_path} not found.") else: if self._compute_shape: @@ -259,18 +251,16 @@ def interpsfex(self, dotpsfpath, pos): PSF_model.header["POLZERO2"], PSF_model.header["POLSCAL2"], ) - xs, ys = (pos[:, 0] - x_interp) / x_scale, ( - pos[:, 1] - y_interp - ) / y_scale + xs, ys = (pos[:, 0] - x_interp) / x_scale, (pos[:, 1] - y_interp) / y_scale # compute polynomial coefficients - coeffs = np.array([[x**idx for idx in range(deg + 1)] for x in xs]) + coeffs = np.array([[x ** idx for idx in range(deg + 1)] for x in xs]) cross_coeffs = np.array( [ np.concatenate( [ [ - (x**idx_j) * (y**idx_i) + (x ** idx_j) * (y ** idx_i) for idx_j in range(deg - idx_i + 1) ] for idx_i in range(1, deg + 1) @@ -285,10 +275,7 @@ def interpsfex(self, dotpsfpath, pos): PSFs = np.array( [ np.sum( - [ - coeff * atom - for coeff, atom in zip(coeffs_posi, PSF_basis) - ], + [coeff * atom for coeff, atom in zip(coeffs_posi, PSF_basis)], axis=0, ) for coeffs_posi in coeffs @@ -319,8 +306,7 @@ def _get_psfshapes(self): raise ImportError("Galsim is required to get shapes information") psf_moms = [ - hsm.FindAdaptiveMom(Image(psf), strict=False) - for psf in self.interp_PSFs + hsm.FindAdaptiveMom(Image(psf), strict=False) for psf in self.interp_PSFs ] self.psf_shapes = np.array( @@ -379,10 +365,7 @@ def process_validation(self, psfex_cat_path): if self.interp_PSFs is None: self._interpolate() - if ( - isinstance(self.interp_PSFs, str) - and self.interp_PSFs == NOT_ENOUGH_STARS - ): + if isinstance(self.interp_PSFs, str) and self.interp_PSFs == NOT_ENOUGH_STARS: self._w_log.info( "Not enough stars to interpolate the psf in the file " + f"{self._dotpsf_path}." @@ -391,10 +374,7 @@ def process_validation(self, psfex_cat_path): self._w_log.info( f"Bad chi2 for the psf model in the file {self._dotpsf_path}." ) - elif ( - isinstance(self.interp_PSFs, str) - and self.interp_PSFs == FILE_NOT_FOUND - ): + elif isinstance(self.interp_PSFs, str) and self.interp_PSFs == FILE_NOT_FOUND: self._w_log.info(f"Psf model file {self._dotpsf_path} not found.") else: star_cat = file_io.FITSCatalogue( @@ -473,15 +453,9 @@ def _get_psfexcatdict(self, psfex_cat_path): psfex_cat.open() psfex_cat_dict = {} - psfex_cat_dict["SOURCE_NUMBER"] = np.copy( - psfex_cat.get_data()["SOURCE_NUMBER"] - ) - psfex_cat_dict["DELTAX_IMAGE"] = np.copy( - psfex_cat.get_data()["DELTAX_IMAGE"] - ) - psfex_cat_dict["DELTAY_IMAGE"] = np.copy( - psfex_cat.get_data()["DELTAY_IMAGE"] - ) + psfex_cat_dict["SOURCE_NUMBER"] = np.copy(psfex_cat.get_data()["SOURCE_NUMBER"]) + psfex_cat_dict["DELTAX_IMAGE"] = np.copy(psfex_cat.get_data()["DELTAX_IMAGE"]) + psfex_cat_dict["DELTAY_IMAGE"] = np.copy(psfex_cat.get_data()["DELTAY_IMAGE"]) psfex_cat_dict["CHI2_PSF"] = np.copy(psfex_cat.get_data()["CHI2_PSF"]) return psfex_cat_dict @@ -593,9 +567,7 @@ def _interpolate_me(self): list_ext_name = cat.get_ext_name() hdu_ind = [ - idx - for idx in range(len(list_ext_name)) - if "EPOCH" in list_ext_name[idx] + idx for idx in range(len(list_ext_name)) if "EPOCH" in list_ext_name[idx] ] final_list = [] @@ -626,7 +598,7 @@ def _interpolate_me(self): continue exp_name = exp_names[0] - #exp_name = cat.get_data(hdu_index)["EXP_NAME"][0] + # exp_name = cat.get_data(hdu_index)["EXP_NAME"][0] ccd_list = list(set(cat.get_data(hdu_index)["CCD_N"])) array_psf = None array_id = None @@ -676,10 +648,7 @@ def _interpolate_me(self): + "lose an epoch." ) continue - if ( - isinstance(self.interp_PSFs, str) - and self.interp_PSFs == BAD_CHI2 - ): + if isinstance(self.interp_PSFs, str) and self.interp_PSFs == BAD_CHI2: self._w_log.info( f"Bad chi2 for the psf model in the ccd {ccd} of the " + f"exposure {exp_name}. Object inside this ccd will " @@ -699,9 +668,7 @@ def _interpolate_me(self): if array_psf is None: array_psf = np.copy(self.interp_PSFs) else: - array_psf = np.concatenate( - (array_psf, np.copy(self.interp_PSFs)) - ) + array_psf = np.concatenate((array_psf, np.copy(self.interp_PSFs))) if array_id is None: array_id = np.copy(obj_id) @@ -728,13 +695,9 @@ def _interpolate_me(self): if array_exp_name is None: array_exp_name = exp_name_tmp else: - array_exp_name = np.concatenate( - (array_exp_name, exp_name_tmp) - ) + array_exp_name = np.concatenate((array_exp_name, exp_name_tmp)) - final_list.append( - [array_id, array_psf, array_shape, array_exp_name] - ) + final_list.append([array_id, array_psf, array_shape, array_exp_name]) self._f_wcs_file.close() cat.close() @@ -753,18 +716,10 @@ def _interpolate_me(self): ] = final_list[j][1][where_res[0]] if self._compute_shape: shape_dict = {} - shape_dict["E1_PSF_HSM"] = final_list[j][2][ - where_res[0] - ][0] - shape_dict["E2_PSF_HSM"] = final_list[j][2][ - where_res[0] - ][1] - shape_dict["SIGMA_PSF_HSM"] = final_list[j][2][ - where_res[0] - ][2] - shape_dict["FLAG_PSF_HSM"] = final_list[j][2][ - where_res[0] - ][3] + shape_dict["E1_PSF_HSM"] = final_list[j][2][where_res[0]][0] + shape_dict["E2_PSF_HSM"] = final_list[j][2][where_res[0]][1] + shape_dict["SIGMA_PSF_HSM"] = final_list[j][2][where_res[0]][2] + shape_dict["FLAG_PSF_HSM"] = final_list[j][2][where_res[0]][3] output_dict[id_tmp][final_list[j][3][where_res[0]]][ "SHAPES" ] = shape_dict @@ -788,9 +743,7 @@ def _write_output_me(self, output_dict): Dictionnary of outputs to save """ - output_file = SqliteDict( - self._output_path + self._img_number + ".sqlite" - ) + output_file = SqliteDict(self._output_path + self._img_number + ".sqlite") for idx in output_dict.keys(): output_file[str(idx)] = output_dict[idx] output_file.commit() diff --git a/shapepipe/modules/psfex_runner.py b/shapepipe/modules/psfex_runner.py index d9c515e58..e636e8f79 100644 --- a/shapepipe/modules/psfex_runner.py +++ b/shapepipe/modules/psfex_runner.py @@ -29,9 +29,7 @@ def psfex_runner( """Define The PSFEx Runner.""" # Extract psfex run configurations if config.has_option(module_config_sec, "EXEC_PATH"): - psfex_executable_path = config.getexpanded( - module_config_sec, "EXEC_PATH" - ) + psfex_executable_path = config.getexpanded(module_config_sec, "EXEC_PATH") else: psfex_executable_path = "psfex" output_dir = run_dirs["output"] diff --git a/shapepipe/modules/python_example_runner.py b/shapepipe/modules/python_example_runner.py index f5016f08a..587558e3b 100644 --- a/shapepipe/modules/python_example_runner.py +++ b/shapepipe/modules/python_example_runner.py @@ -41,9 +41,7 @@ def python_example_runner( ): """Define The Python Example Runner.""" # Set output file name - output_file_name = ( - f'{run_dirs["output"]}/pyex_output{file_number_string}.cat' - ) + output_file_name = f'{run_dirs["output"]}/pyex_output{file_number_string}.cat' # Retrieve log message from config file message = config.get(module_config_sec, "MESSAGE") diff --git a/shapepipe/modules/random_cat_runner.py b/shapepipe/modules/random_cat_runner.py index c85854cb5..3cca3066a 100644 --- a/shapepipe/modules/random_cat_runner.py +++ b/shapepipe/modules/random_cat_runner.py @@ -32,9 +32,7 @@ def random_cat_runner( # Set output file name if config.has_option(module_config_sec, "OUTPUT_FILE_PATTERN"): - output_file_pattern = config.get( - module_config_sec, "OUTPUT_FILE_PATTERN" - ) + output_file_pattern = config.get(module_config_sec, "OUTPUT_FILE_PATTERN") else: output_file_pattern = "random_cat" @@ -49,16 +47,12 @@ def random_cat_runner( density = False # Get healpix output options - save_mask_as_healpix = config.getboolean( - module_config_sec, "SAVE_MASK_AS_HEALPIX" - ) + save_mask_as_healpix = config.getboolean(module_config_sec, "SAVE_MASK_AS_HEALPIX") if save_mask_as_healpix: healpix_options = {} - for option_trunc in ['FILE_BASE', 'OUT_NSIDE']: - option = f'HEALPIX_OUT_{option_trunc}' - healpix_options[option_trunc] = config.get( - module_config_sec, option - ) + for option_trunc in ["FILE_BASE", "OUT_NSIDE"]: + option = f"HEALPIX_OUT_{option_trunc}" + healpix_options[option_trunc] = config.get(module_config_sec, option) # Create rand cat class instance rand_cat_inst = RandomCat( input_image_name, diff --git a/shapepipe/modules/serial_example_runner.py b/shapepipe/modules/serial_example_runner.py index 61cfc3edf..c50284727 100644 --- a/shapepipe/modules/serial_example_runner.py +++ b/shapepipe/modules/serial_example_runner.py @@ -55,9 +55,7 @@ def serial_example_runner( w_log, ): """Define The Serial Example Runner.""" - output_file_name = ( - f'{run_dirs["output"]}/serial_outputfile_number_string.cat' - ) + output_file_name = f'{run_dirs["output"]}/serial_outputfile_number_string.cat' inst = Dummy() inst.read_files(input_file_list) diff --git a/shapepipe/modules/setools_package/setools.py b/shapepipe/modules/setools_package/setools.py index c430b52b1..2c22be421 100644 --- a/shapepipe/modules/setools_package/setools.py +++ b/shapepipe/modules/setools_package/setools.py @@ -13,7 +13,8 @@ import string import matplotlib -matplotlib.use('Agg') + +matplotlib.use("Agg") import matplotlib.pylab as plt import numpy as np @@ -237,9 +238,7 @@ def read(self): try: rand_split_name = re.split(":", sec)[1] except Exception: - rand_split_name = ( - f"rand_split_{len(self._rand_split) + 1}" - ) + rand_split_name = f"rand_split_{len(self._rand_split) + 1}" self._rand_split[rand_split_name] = [] else: raise ValueError( @@ -575,8 +574,7 @@ def _make_plot(self): self.plot[key][ss[0]][ss[1]] = s[1] else: raise ValueError( - "Plot keyword not in correct format (key or key_i)" - + f": {idx}" + "Plot keyword not in correct format (key or key_i)" + f": {idx}" ) def _make_new_cat(self): @@ -638,9 +636,7 @@ def _make_rand_split(self): for idx in self._rand_split[key]: s = re.split("=", idx) if len(s) != 2: - raise ValueError( - f"Not a valid format : {self._rand_split[key][0]}" - ) + raise ValueError(f"Not a valid format : {self._rand_split[key][0]}") if s[0] == "RATIO": try: ratio = float(s[1]) @@ -1176,9 +1172,7 @@ def _make_hist(self): bins = int(self._plot["BIN"][key]) except Exception: if len(self._plot["BIN"]) == 1: - bins = int( - self._plot["BIN"][self._plot["BIN"].keys()[0]] - ) + bins = int(self._plot["BIN"][self._plot["BIN"].keys()[0]]) else: bins = 50 if "ALPHA" in self._plot.keys(): diff --git a/shapepipe/modules/sextractor_package/sextractor_script.py b/shapepipe/modules/sextractor_package/sextractor_script.py index 2c0124eed..699808eee 100644 --- a/shapepipe/modules/sextractor_package/sextractor_script.py +++ b/shapepipe/modules/sextractor_package/sextractor_script.py @@ -40,9 +40,7 @@ def get_header_value(image_path, key): try: val = float(val) except Exception: - raise ValueError( - f"The key {key} does not return a float value. Got {val}" - ) + raise ValueError(f"The key {key} does not return a float value. Got {val}") return val @@ -126,10 +124,7 @@ def make_post_process(cat_path, f_wcs_path, pos_params, ccd_size): n_epoch[ind] += 1 exp_name = np.array([exp_list[idx] for n in range(len(obj_id))]) a = np.array( - [ - (obj_id[ii], exp_name[ii], pos_tmp[ii]) - for ii in range(len(exp_name)) - ], + [(obj_id[ii], exp_name[ii], pos_tmp[ii]) for ii in range(len(exp_name))], dtype=[ ("NUMBER", obj_id.dtype), ("EXP_NAME", exp_name.dtype), @@ -306,15 +301,11 @@ def set_input_files( extra += 1 if use_flag: - self._cmd_line_extra += ( - " -FLAG_IMAGE " + f"{self._all_input_path[extra]}" - ) + self._cmd_line_extra += " -FLAG_IMAGE " + f"{self._all_input_path[extra]}" extra += 1 if use_psf: - self._cmd_line_extra += ( - " -PSF_NAME " + f"{self._all_input_path[extra]}" - ) + self._cmd_line_extra += " -PSF_NAME " + f"{self._all_input_path[extra]}" extra += 1 # Check for separate files for detection and measurement @@ -322,8 +313,7 @@ def set_input_files( # First, consistency checks if use_detect_weight and not use_detect_img: raise ValueError( - "DETECTION_WEIGHT cannot be True " - + "if DETECTION_IMAGE is False" + "DETECTION_WEIGHT cannot be True " + "if DETECTION_IMAGE is False" ) if use_detect_weight and not use_weight: raise ValueError( @@ -393,9 +383,7 @@ def get_background(self, use_bkg, bkg_key=None): """ if use_bkg and not isinstance(bkg_key, type(None)): bkg_value = get_header_value(self._meas_img_path, bkg_key) - self._cmd_line_extra += ( - f" -BACK_TYPE MANUAL -BACK_VALUE {bkg_value}" - ) + self._cmd_line_extra += f" -BACK_TYPE MANUAL -BACK_VALUE {bkg_value}" def get_check_image(self, check_image): """Get Check Image. diff --git a/shapepipe/modules/sextractor_runner.py b/shapepipe/modules/sextractor_runner.py index 33173fd8b..8438c5de7 100644 --- a/shapepipe/modules/sextractor_runner.py +++ b/shapepipe/modules/sextractor_runner.py @@ -109,9 +109,7 @@ def sextractor_runner( f_wcs_path = config.getexpanded(module_config_sec, "LOG_WCS") pos_params = config.getlist(module_config_sec, "WORLD_POSITION") ccd_size = config.getlist(module_config_sec, "CCD_SIZE") - ss.make_post_process( - ss_inst.path_output_file, f_wcs_path, pos_params, ccd_size - ) + ss.make_post_process(ss_inst.path_output_file, f_wcs_path, pos_params, ccd_size) # Return stdout and stderr return stdout, stderr diff --git a/shapepipe/modules/split_exp_package/split_exp.py b/shapepipe/modules/split_exp_package/split_exp.py index 635267a0a..b394f076f 100644 --- a/shapepipe/modules/split_exp_package/split_exp.py +++ b/shapepipe/modules/split_exp_package/split_exp.py @@ -57,9 +57,7 @@ def process(self): Process the splitting of single-exposure images. """ - for exp_path, output_suffix in zip( - self._input_file_list, self._output_suffix - ): + for exp_path, output_suffix in zip(self._input_file_list, self._output_suffix): transf_int = "flag" in output_suffix transf_coord = "image" in output_suffix @@ -105,9 +103,9 @@ def create_hdus( # Check completeness of HDUs if len(hdu_list) <= self._n_hdu: raise TypeError( - f'Only {len(hdu_list)} out of requested {self._n_hdu} HDUs ' - + f'found in image {exp_path}. File might be corrupt or not ' - 'completely downloaded.' + f"Only {len(hdu_list)} out of requested {self._n_hdu} HDUs " + + f"found in image {exp_path}. File might be corrupt or not " + "completely downloaded." ) # Loop over HDUs = CCDs @@ -158,7 +156,5 @@ def create_hdus( # Save header array if requested if save_header: - file_name = ( - f"{self._output_dir}/headers{self._file_number_string}.npy" - ) + file_name = f"{self._output_dir}/headers{self._file_number_string}.npy" np.save(file_name, header_file) diff --git a/shapepipe/modules/spread_model_package/spread_model.py b/shapepipe/modules/spread_model_package/spread_model.py index 0ea9c51f9..2e78059ff 100644 --- a/shapepipe/modules/spread_model_package/spread_model.py +++ b/shapepipe/modules/spread_model_package/spread_model.py @@ -61,7 +61,7 @@ def get_sm(obj_vign, psf_vign, model_vign, weight_vign): tnt = np.sum(t_v * noise_v * t_v * w_v) pnp = np.sum(psf_v * noise_v * psf_v * w_v) tnp = np.sum(t_v * noise_v * psf_v * w_v) - err = tnt * pg**2 + pnp * tg**2 - 2 * tnp * pg * tg + err = tnt * pg ** 2 + pnp * tg ** 2 - 2 * tnp * pg * tg # Compute spread model if pg > 0: @@ -70,7 +70,7 @@ def get_sm(obj_vign, psf_vign, model_vign, weight_vign): sm = 1 if (pg > 0) & (err > 0): - sm_err = np.sqrt(err) / pg**2 + sm_err = np.sqrt(err) / pg ** 2 else: sm_err = 1 @@ -245,9 +245,7 @@ def process(self): psf_cat.close() - self.save_results( - spread_model_final, spread_model_err_final, obj_mag, obj_id - ) + self.save_results(spread_model_final, spread_model_err_final, obj_mag, obj_id) def save_results(self, sm, sm_err, mag, number): """Save Results. @@ -283,9 +281,7 @@ def save_results(self, sm, sm_err, mag, number): "SPREAD_MODEL": sm, "SPREADERR_MODEL": sm_err, } - new_cat.save_as_fits( - data=dict_data, sex_cat_path=self._sex_cat_path - ) + new_cat.save_as_fits(data=dict_data, sex_cat_path=self._sex_cat_path) elif self._output_mode == "add": ori_cat = file_io.FITSCatalogue( self._sex_cat_path, @@ -297,9 +293,7 @@ def save_results(self, sm, sm_err, mag, number): SEx_catalogue=True, open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite, ) - ori_cat.add_col( - "SPREAD_MODEL", sm, new_cat=True, new_cat_inst=new_cat - ) + ori_cat.add_col("SPREAD_MODEL", sm, new_cat=True, new_cat_inst=new_cat) ori_cat.close() new_cat.open() new_cat.add_col("SPREADERR_MODEL", sm_err) diff --git a/shapepipe/modules/vignetmaker_package/vignetmaker.py b/shapepipe/modules/vignetmaker_package/vignetmaker.py index 9cc4ae0b2..17469632f 100644 --- a/shapepipe/modules/vignetmaker_package/vignetmaker.py +++ b/shapepipe/modules/vignetmaker_package/vignetmaker.py @@ -195,9 +195,7 @@ def _get_stamp(self, img_path, pos, rad): try: img = img_file.get_data(0) except: - self._w_log.info( - f"Error while reading data from {img_path}" - ) + self._w_log.info(f"Error while reading data from {img_path}") raise img_file.close() @@ -233,9 +231,7 @@ def _get_stamp_me(self, image_dirs, image_pattern): n_epoch = np.copy(cat.get_data()["N_EPOCH"]) list_ext_name = cat.get_ext_name() - hdu_ind = [ - i for i in range(len(list_ext_name)) if "EPOCH" in list_ext_name[i] - ] + hdu_ind = [i for i in range(len(list_ext_name)) if "EPOCH" in list_ext_name[i]] final_list = [] for hdu_index in hdu_ind: @@ -259,9 +255,7 @@ def _get_stamp_me(self, image_dirs, image_pattern): found = True break if not found: - raise FileNotFoundError( - f"Could not find image {image_name}" - ) + raise FileNotFoundError(f"Could not find image {image_name}") ind_obj = np.where(cat.get_data(hdu_index)["CCD_N"] == ccd)[0] obj_id = all_id[ind_obj] @@ -294,9 +288,7 @@ def _get_stamp_me(self, image_dirs, image_pattern): if array_exp_name is None: array_exp_name = exp_name_tmp else: - array_exp_name = np.concatenate( - (array_exp_name, exp_name_tmp) - ) + array_exp_name = np.concatenate((array_exp_name, exp_name_tmp)) final_list.append([array_id, array_vign, array_exp_name]) diff --git a/shapepipe/pipeline/args.py b/shapepipe/pipeline/args.py index 70cb8c38b..019956906 100644 --- a/shapepipe/pipeline/args.py +++ b/shapepipe/pipeline/args.py @@ -44,7 +44,6 @@ def print_message(message): """ class customAction(ap.Action): - def __init__( self, option_strings, @@ -121,9 +120,7 @@ def create_arg_parser(): optional.add_argument( "-l", "--list_modules", - action=print_message( - f"ShapePipe modules currently available:\n{module_str()}" - ), + action=print_message(f"ShapePipe modules currently available:\n{module_str()}"), help="list modules currently available and exit", ) diff --git a/shapepipe/pipeline/config.py b/shapepipe/pipeline/config.py index f43bf7345..309f5286d 100644 --- a/shapepipe/pipeline/config.py +++ b/shapepipe/pipeline/config.py @@ -59,8 +59,7 @@ def getlist(self, section, option, delimiter=","): """ return [ - opt.strip() - for opt in self.getexpanded(section, option).split(delimiter) + opt.strip() for opt in self.getexpanded(section, option).split(delimiter) ] diff --git a/shapepipe/pipeline/dependency_handler.py b/shapepipe/pipeline/dependency_handler.py index f4779e5ed..3a68e373c 100644 --- a/shapepipe/pipeline/dependency_handler.py +++ b/shapepipe/pipeline/dependency_handler.py @@ -159,9 +159,7 @@ def _get_indices(array, value): List of indices """ - return [ - index for index, element in enumerate(array) if element == value - ] + return [index for index, element in enumerate(array) if element == value] @classmethod def _slice_col_val(cls, array, col, value): @@ -297,9 +295,7 @@ def _unique_dependencies(self): subset = self._slice_col_val( subset, 2, - str( - max([self._convert_to_float(ver) for ver in subset[2]]) - ), + str(max([self._convert_to_float(ver) for ver in subset[2]])), ) subset = [element[0] for element in self._slice_2d(subset, [0])] @@ -324,9 +320,7 @@ def check_dependencies(self): try: package = importlib.import_module(dependency) except Exception: - raise ImportError( - f"Could not import pipeline dependency {dependency}" - ) + raise ImportError(f"Could not import pipeline dependency {dependency}") if hasattr(package, "__version__"): version = package.__version__ @@ -340,9 +334,7 @@ def check_dependencies(self): else: path = "N/A" - dependency_status_list.append( - f" - {package.__name__} {version} {path}" - ) + dependency_status_list.append(f" - {package.__name__} {version} {path}") return dependency_status_list diff --git a/shapepipe/pipeline/execute.py b/shapepipe/pipeline/execute.py index 0a69fae7f..5c97a12e4 100644 --- a/shapepipe/pipeline/execute.py +++ b/shapepipe/pipeline/execute.py @@ -82,6 +82,5 @@ def is_exe(fpath): if not res: raise OSError( - f"{exe_name} does not appear to be a valid executable on this " - + "system." + f"{exe_name} does not appear to be a valid executable on this " + "system." ) diff --git a/shapepipe/pipeline/file_handler.py b/shapepipe/pipeline/file_handler.py index 979487312..9214f42f3 100644 --- a/shapepipe/pipeline/file_handler.py +++ b/shapepipe/pipeline/file_handler.py @@ -461,9 +461,7 @@ def get_module_run_prop(self, module, property): elif property in self._module_dict[module][run_name].keys(): value = self._module_dict[module][run_name][property] else: - raise ValueError( - f"Property {property} not found for module {module}." - ) + raise ValueError(f"Property {property} not found for module {module}.") return value @@ -568,9 +566,7 @@ def _set_module_property(self, module, run_name, property, get_type): prop_val = getattr(self.module_runners[module], property) else: - raise ValueError( - f"No value for {property} in {module} could be found." - ) + raise ValueError(f"No value for {property} in {module} could be found.") # Look for additional module properties for list objects if isinstance(prop_val, list) and self.get_add_module_property( @@ -715,9 +711,7 @@ def _set_module_input_dir(self, module, run_name): dir_set_by = f"{module}.py" # If so, loop through all the input modules defined for the current # module - for input_module in self._module_dict[module][run_name][ - "input_module" - ]: + for input_module in self._module_dict[module][run_name]["input_module"]: # Get the input module name and run input_module, in_mod_run = shared.split_module_run(input_module) # Check if the input module was part of the current pipeline @@ -729,9 +723,7 @@ def _set_module_input_dir(self, module, run_name): # Add the output directory of the input module to # the list of input directories for the current module input_dir.append( - self._module_dict[input_module][in_mod_run][ - "output_dir" - ] + self._module_dict[input_module][in_mod_run]["output_dir"] ) else: # If not, add the last run of the input module to the @@ -756,9 +748,7 @@ def _set_module_input_dir(self, module, run_name): # Add the input directories for the current module to the module # dictionary - self._module_dict[module][run_name]["input_dir"] = self.check_dirs( - input_dir - ) + self._module_dict[module][run_name]["input_dir"] = self.check_dirs(input_dir) self._module_dict[module][run_name]["dir_set_by"] = dir_set_by # Log the input directories and how they were set @@ -801,12 +791,11 @@ def _generate_re_pattern(match_pattern): split_pattern = "|".join(chars).replace(".", r"\.") chars = [f"\\{char}" for char in chars] + [""] num_length = [ - f"\\d{{{len(digits)}}}" - for digits in re.split(split_pattern, match_pattern) + f"\\d{{{len(digits)}}}" for digits in re.split(split_pattern, match_pattern) ] - re_pattern = r"".join( - [a for b in zip(num_length, chars) for a in b] - ).replace("{1}", "+") + re_pattern = r"".join([a for b in zip(num_length, chars) for a in b]).replace( + "{1}", "+" + ) return re.compile(re_pattern) @@ -830,9 +819,7 @@ def _strip_dir_from_file(file_name, dir_list): """ return [ - file_name.replace(_dir + "/", "") - for _dir in dir_list - if _dir in file_name + file_name.replace(_dir + "/", "") for _dir in dir_list if _dir in file_name ][0] @classmethod @@ -873,9 +860,7 @@ def _get_re(cls, num_scheme): return re_pattern - def _save_num_patterns( - self, dir_list, re_pattern, pattern, ext, output_file - ): + def _save_num_patterns(self, dir_list, re_pattern, pattern, ext, output_file): """Save Number Patterns. Save file number patterns to numpy binary, update file patterns and @@ -949,8 +934,7 @@ def _save_num_patterns( if new_pattern != pattern: print( - f'Updating pattern from "{pattern}" to ' - + f'"{new_pattern}".' + f'Updating pattern from "{pattern}" to ' + f'"{new_pattern}".' ) print() @@ -998,7 +982,7 @@ def _save_match_patterns(output_file, mmap_list): num_pattern_intersect = reduce( partial(np.intersect1d, assume_unique=True), num_pattern_list - ) + ) if len(num_pattern_intersect) == 0: msg = ( "Found numbers corresponding to the different input patterns" @@ -1178,9 +1162,7 @@ def _save_process_list( temp = [ self._save_num_patterns(dir_list, re_pattern, pattern, ext, np_mmap) - for pattern, ext, np_mmap in zip( - pattern_list, ext_list, np_mmap_list - ) + for pattern, ext, np_mmap in zip(pattern_list, ext_list, np_mmap_list) ] self._save_match_patterns(match_mmap, np_mmap_list) diff --git a/shapepipe/pipeline/file_io.py b/shapepipe/pipeline/file_io.py index af7cc7e2f..9d3494133 100644 --- a/shapepipe/pipeline/file_io.py +++ b/shapepipe/pipeline/file_io.py @@ -274,8 +274,7 @@ def __init__(self, filepath): def __str__(self): return ( - f"File IO *** ERROR ***: catalogue: {self._filepath} " - + "is not open" + f"File IO *** ERROR ***: catalogue: {self._filepath} " + "is not open" ) class DataNotFound(Exception): @@ -1309,13 +1308,9 @@ def get_col_comments(self, hdu_no=None): if hdu_no is None: hdu_no = self.hdu_no hdr_col_types = [ - tt - for tt in self._cat_data[hdu_no].header.keys() - if "TTYPE" in tt - ] - return [ - self._cat_data[hdu_no].header.comments[c] for c in hdr_col_types + tt for tt in self._cat_data[hdu_no].header.keys() if "TTYPE" in tt ] + return [self._cat_data[hdu_no].header.comments[c] for c in hdr_col_types] else: raise BaseCatalogue.catalogueNotOpen(self.fullpath) @@ -1696,9 +1691,7 @@ def _save_to_fits( ) ) - self._cat_data.append( - fits.BinTableHDU.from_columns(col_list, name=ext_name) - ) + self._cat_data.append(fits.BinTableHDU.from_columns(col_list, name=ext_name)) self.close() def _save_from_recarray( diff --git a/shapepipe/pipeline/job_handler.py b/shapepipe/pipeline/job_handler.py index 9a6e01f1f..5ff985a9d 100644 --- a/shapepipe/pipeline/job_handler.py +++ b/shapepipe/pipeline/job_handler.py @@ -108,9 +108,7 @@ def config(self): def config(self, value): if not isinstance(value, ConfigParser): - raise TypeError( - "config must be an instane of configparser.ConfigParser" - ) + raise TypeError("config must be an instane of configparser.ConfigParser") self._config = value @@ -261,9 +259,7 @@ def timeout(self): @timeout.setter def timeout(self, value): - if isinstance(value, type(None)) and self.config.has_option( - "JOB", "TIMEOUT" - ): + if isinstance(value, type(None)) and self.config.has_option("JOB", "TIMEOUT"): value = self.config.get("JOB", "TIMEOUT") value = self.hms2sec(value) if ":" in value else int(value) @@ -342,9 +338,7 @@ def _log_job_parameters(self): batch_info = f" -- Batch size: {self.batch_size}" time_info = f" -- Timeout Limit: {self.timeout}s" - show_batch_into = ( - self.job_type == "parallel" and self.parallel_mode == "smp" - ) + show_batch_into = self.job_type == "parallel" and self.parallel_mode == "smp" self.log.info(text) self.log.info(module_info) @@ -454,9 +448,7 @@ def _check_stderr_status(self): """ for worker_dict in self.worker_dicts: if worker_dict["stderr"]: - self.log.info( - f'ERROR: stderr recorded in: {worker_dict["log"]}' - ) + self.log.info(f'ERROR: stderr recorded in: {worker_dict["log"]}') self.error_count += 1 def _check_missed_processes(self): diff --git a/shapepipe/pipeline/run_log.py b/shapepipe/pipeline/run_log.py index 110378539..4cb6e6425 100644 --- a/shapepipe/pipeline/run_log.py +++ b/shapepipe/pipeline/run_log.py @@ -76,8 +76,7 @@ def get_run(self, search_string): elif len(runs) > 1: raise RuntimeError( - "More than one run found matching search string " - + f"'{search_string}'" + "More than one run found matching search string " + f"'{search_string}'" ) return runs[0].split(" ")[0] diff --git a/shapepipe/pipeline/shared.py b/shapepipe/pipeline/shared.py index 24984b34b..01e8fe24f 100644 --- a/shapepipe/pipeline/shared.py +++ b/shapepipe/pipeline/shared.py @@ -108,9 +108,7 @@ def split_module_run(module_str): """ if not isinstance(module_str, str): - raise TypeError( - f"Input module_str must be a string not {type(module_str)}." - ) + raise TypeError(f"Input module_str must be a string not {type(module_str)}.") run_split = "_run_" module_run = module_str diff --git a/shapepipe/pipeline/str_handler.py b/shapepipe/pipeline/str_handler.py index e443e31f6..fb6ba73b7 100644 --- a/shapepipe/pipeline/str_handler.py +++ b/shapepipe/pipeline/str_handler.py @@ -131,9 +131,7 @@ def _compare(self, string): comp = "<|>|<=|>=|==|!=" if len(re.split(comp, string)) != 2: - raise Exception( - "Only one comparison in [<, >, <=, >=, ==, !=] per line" - ) + raise Exception("Only one comparison in [<, >, <=, >=, ==, !=] per line") for operator in ["<=", ">=", "<", ">", "==", "!="]: terms = re.split(operator, string) @@ -363,9 +361,7 @@ def _test_homogeneity(self, *args): param = [args[0], args[1]] n_cells = args[2] else: - raise ValueError( - "Inputs should be param_1, param_2 [optional], n_cells" - ) + raise ValueError("Inputs should be param_1, param_2 [optional], n_cells") if n_param == 2: if len(param[0]) != len(param[1]): @@ -383,19 +379,10 @@ def _test_homogeneity(self, *args): param_min = [] param_max = [] for idx in param: - step = (np.max(idx) - np.min(idx)) / pow( - n_cells, 1.0 / float(n_param) - ) - param_min.append( - [val for val in np.arange(np.min(idx), np.max(idx), step)] - ) + step = (np.max(idx) - np.min(idx)) / pow(n_cells, 1.0 / float(n_param)) + param_min.append([val for val in np.arange(np.min(idx), np.max(idx), step)]) param_max.append( - [ - val - for val in np.arange( - np.min(idx) + step, np.max(idx) + step, step - ) - ] + [val for val in np.arange(np.min(idx) + step, np.max(idx) + step, step)] ) if n_param == 1: diff --git a/shapepipe/pipeline/timeout.py b/shapepipe/pipeline/timeout.py index f37e1876e..13a2730bd 100644 --- a/shapepipe/pipeline/timeout.py +++ b/shapepipe/pipeline/timeout.py @@ -30,12 +30,9 @@ def with_timeout(timeout, log_file): """ def handler(signum, frame): - raise TimeoutError( - f"The process time exceeded {timeout}s in {log_file}" - ) + raise TimeoutError(f"The process time exceeded {timeout}s in {log_file}") def decorator(decorated): - @wraps(decorated) def inner(*args, **kwargs): signal.signal(signal.SIGALRM, handler) diff --git a/shapepipe/pipeline/worker_handler.py b/shapepipe/pipeline/worker_handler.py index bdd8b037e..5950d5b8a 100644 --- a/shapepipe/pipeline/worker_handler.py +++ b/shapepipe/pipeline/worker_handler.py @@ -145,9 +145,7 @@ def _create_worker_log(self): print(f" - {job_name} PID: {pid} ", end="") - if process_size < self._config.getint( - "WORKER", "PROCESS_PRINT_LIMIT" - ): + if process_size < self._config.getint("WORKER", "PROCESS_PRINT_LIMIT"): print( f'processing {self.worker_dict["file_number_string"]} ' + f'{self.worker_dict["process"]}' @@ -223,12 +221,8 @@ def _log_stdout(self): This method logs the stdout and stderr output of the job. """ - self.w_log.info( - f"Process produced the following output: {self._stdout}" - ) + self.w_log.info(f"Process produced the following output: {self._stdout}") if self._stderr: - self.w_log.info( - f"Process produced the following error(s): {self._stderr}" - ) + self.w_log.info(f"Process produced the following error(s): {self._stderr}") self.worker_dict["stderr"] = True diff --git a/shapepipe/run.py b/shapepipe/run.py index 5e095ba16..c3bd48e23 100644 --- a/shapepipe/run.py +++ b/shapepipe/run.py @@ -112,9 +112,7 @@ def close_pipeline_log(self): plur = " was" else: plur = "s were" - final_error_count = ( - f"A total of {self.error_count} error{plur} recorded." - ) + final_error_count = f"A total of {self.error_count} error{plur} recorded." end_text = "Finishing ShapePipe Run" self.log.info(final_error_count) @@ -228,9 +226,7 @@ def _check_module_versions(self): for module in set(self.modules): - module_txt = ( - f" - {module} {self.filehd.module_runners[module].version}" - ) + module_txt = f" - {module} {self.filehd.module_runners[module].version}" self.log.info(module_txt) if self.verbose: @@ -268,9 +264,7 @@ def _get_module_run_methods(self): for module in self.modules: - self.run_method[module] = self.filehd.module_runners[ - module - ].run_method + self.run_method[module] = self.filehd.module_runners[module].run_method def _prep_run(self): """Prepare Run. @@ -416,9 +410,7 @@ def run_mpi(pipe, comm): jobs = split_mpi_jobs(process_list, comm.size) del process_list else: - job_type = module_runner = worker_log = timeout = jobs = ( - run_dirs - ) = None + job_type = module_runner = worker_log = timeout = jobs = run_dirs = None # Broadcast job type to all nodes job_type = comm.bcast(job_type, root=0) diff --git a/shapepipe/tests/test_get_images.py b/shapepipe/tests/test_get_images.py index 860f37f97..ff6e0020c 100644 --- a/shapepipe/tests/test_get_images.py +++ b/shapepipe/tests/test_get_images.py @@ -16,7 +16,6 @@ class GetImagesTestCase(TestCase): - def setUp(self): self.number_tile = "123.456" @@ -31,13 +30,9 @@ def tearDown(self): def test_in2out_pattern(self): - npt.assert_string_equal( - get_images.in2out_pattern(self.number_tile), "123-456" - ) + npt.assert_string_equal(get_images.in2out_pattern(self.number_tile), "123-456") - npt.assert_string_equal( - get_images.in2out_pattern(self.number_exp), "2490092" - ) + npt.assert_string_equal(get_images.in2out_pattern(self.number_exp), "2490092") npt.assert_raises( TypeError, diff --git a/shapepipe/tests/test_pipeline.py b/shapepipe/tests/test_pipeline.py index 2a59a6c74..996e939ee 100644 --- a/shapepipe/tests/test_pipeline.py +++ b/shapepipe/tests/test_pipeline.py @@ -15,7 +15,6 @@ class ExecuteTestCase(TestCase): - def setUp(self): self.command_line = "echo 1" diff --git a/shapepipe/tests/test_utilities.py b/shapepipe/tests/test_utilities.py index 83d624108..ed93ae59a 100644 --- a/shapepipe/tests/test_utilities.py +++ b/shapepipe/tests/test_utilities.py @@ -15,7 +15,6 @@ class GalaxyTestCase(TestCase): - def setUp(self): self.sigma_float = 5.5 diff --git a/shapepipe/utilities/cfis.py b/shapepipe/utilities/cfis.py index 0d94b3be3..d472ca7e3 100644 --- a/shapepipe/utilities/cfis.py +++ b/shapepipe/utilities/cfis.py @@ -146,9 +146,7 @@ def get_ID(self): else: return f"{m[1]}.{m[2]}" - def print( - self, file=sys.stdout, base_name=False, name_only=True, ID_only=False - ): + def print(self, file=sys.stdout, base_name=False, name_only=True, ID_only=False): """Print. Print image information as ascii Table column. @@ -319,17 +317,14 @@ def my_string_split(string, num=-1, verbose=False, stop=False, sep=None): else: if not string.find(sep): raise ValueError( - f"No separator '{sep}' found in string '{string}', " - + "cannot split" + f"No separator '{sep}' found in string '{string}', " + "cannot split" ) my_sep = sep res = string.split(my_sep) if num != -1 and num != len(res) and stop: - raise CfisError( - f"String '{len(res)}' has length {num}, required is {num}" - ) + raise CfisError(f"String '{len(res)}' has length {num}, required is {num}") return res @@ -565,9 +560,7 @@ def get_tile_number(tile_name): """ m = re.search(r"(\d{3})[\.-](\d{3})", tile_name) if m is None or len(m.groups()) != 2: - raise CfisError( - f"Image name '{tile_name}' does not match tile name syntax" - ) + raise CfisError(f"Image name '{tile_name}' does not match tile name syntax") nix = m.groups()[0] niy = m.groups()[1] @@ -739,9 +732,7 @@ def get_Angle_arr(str_coord, num=-1, wrap=True, verbose=False): array of sky coordinates (pairs ra, dec) """ - angles_mixed = my_string_split( - str_coord, num=num, verbose=verbose, stop=True - ) + angles_mixed = my_string_split(str_coord, num=num, verbose=verbose, stop=True) n = len(angles_mixed) n = int(n / 2) @@ -823,9 +814,7 @@ def create_image_list(fname, ra, dec, exp_time=[], valid=[]): if nf == 0: raise CfisError("No entries in file name list") if (nf != nr or nf != nd) and nr != 0 and nd != 0: - raise CfisError( - f"Lists fname, ra, dec have not same length ({nf}, {nr}, {nd})" - ) + raise CfisError(f"Lists fname, ra, dec have not same length ({nf}, {nr}, {nd})") images = [] for i in range(nf): @@ -849,9 +838,7 @@ def create_image_list(fname, ra, dec, exp_time=[], valid=[]): return images -def get_image_list( - inp, band, image_type, col=None, input_format="full", verbose=False -): +def get_image_list(inp, band, image_type, col=None, input_format="full", verbose=False): """Get Image List. Return list of images. @@ -885,9 +872,7 @@ def get_image_list( if os.path.isdir(inp): if col is not None: - raise CfisError( - "Column name (-c option) only valid if input is file" - ) + raise CfisError("Column name (-c option) only valid if input is file") # Read file names from directory listing inp_type = "dir" @@ -943,9 +928,7 @@ def get_image_list( if input_format == "ID_only": pattern = get_file_pattern(r"\d{3}.\d{3}", band, image_type, ext=False) else: - pattern = get_file_pattern( - rf"CFIS.\d{{3}}.\d{{3}}\.{band}", band, image_type - ) + pattern = get_file_pattern(rf"CFIS.\d{{3}}.\d{{3}}\.{band}", band, image_type) for img in image_list: @@ -1040,9 +1023,7 @@ def find_image_at_coord( if image_type in ("tile", "weight", "weight.fz"): nix, niy = get_tile_number_from_coord(ra, dec, return_type=int) - tile_name = get_tile_name( - nix, niy, band, image_type, input_format=input_format - ) + tile_name = get_tile_name(nix, niy, band, image_type, input_format=input_format) img_found = [] for img in images: @@ -1097,9 +1078,7 @@ def find_image_at_coord( return img_found -def find_images_in_area( - images, angles, band, image_type, no_cuts=False, verbose=False -): +def find_images_in_area(images, angles, band, image_type, no_cuts=False, verbose=False): """Fine Images In Area. Return image list within coordinate area (rectangle) @@ -1294,9 +1273,7 @@ def plot_area( dy = abs(angles[0].dec - angles[1].dec) dx = getattr(dx, unitdef) dy = getattr(dy, unitdef) - radius = max(dx, dy) / 2 + (size["exposure"] + size["tile"]) * np.sqrt( - 2 - ) + radius = max(dx, dy) / 2 + (size["exposure"] + size["tile"]) * np.sqrt(2) circle = plt.Circle( (ra_c.deg, dec_c.deg), radius, diff --git a/shapepipe/utilities/file_system.py b/shapepipe/utilities/file_system.py index 603800ee7..f657b9c7a 100644 --- a/shapepipe/utilities/file_system.py +++ b/shapepipe/utilities/file_system.py @@ -36,9 +36,7 @@ def check_dir(dir_name): """ if not isinstance(dir_name, str): - raise TypeError( - f"Directory name must be of type string, not {type(dir_name)}" - ) + raise TypeError(f"Directory name must be of type string, not {type(dir_name)}") return os.path.isdir(dir_name) @@ -70,6 +68,4 @@ def mkdir(dir_name, check_created=True, exist_ok=True): os.makedirs(dir_name, exist_ok=exist_ok) if check_created and not check_dir(dir_name): - raise FileSystemError( - f'Directory "{dir_name}" not found after mkdir command.' - ) + raise FileSystemError(f'Directory "{dir_name}" not found after mkdir command.') diff --git a/shapepipe/utilities/galaxy.py b/shapepipe/utilities/galaxy.py index 40948a8f1..d777b93aa 100644 --- a/shapepipe/utilities/galaxy.py +++ b/shapepipe/utilities/galaxy.py @@ -64,14 +64,10 @@ def sigma_to_fwhm(sigma, pixel_scale=1.0): f"Sigma must be of type numpy array or float, not {type(sigma)}." ) elif isinstance(sigma, np.ndarray) and sigma.dtype != np.float64: - raise TypeError( - f"Sigma array values must be of type float, not {sigma.dtype}." - ) + raise TypeError(f"Sigma array values must be of type float, not {sigma.dtype}.") if not isinstance(pixel_scale, float): - raise TypeError( - f"The pixel scale must of type float, not {type(pixel_scale)}." - ) + raise TypeError(f"The pixel scale must of type float, not {type(pixel_scale)}.") if isinstance(sigma, np.ndarray) and np.any(sigma <= 0.0): raise ValueError( @@ -80,8 +76,7 @@ def sigma_to_fwhm(sigma, pixel_scale=1.0): ) elif isinstance(sigma, float) and sigma <= 0.0: raise ValueError( - f"Invalid standard deviation {sigma}, needs to be greater than " - + "0.0." + f"Invalid standard deviation {sigma}, needs to be greater than " + "0.0." ) if pixel_scale <= 0.0: diff --git a/shapepipe/utilities/summary.py b/shapepipe/utilities/summary.py index b6f1de649..dba19d303 100755 --- a/shapepipe/utilities/summary.py +++ b/shapepipe/utilities/summary.py @@ -235,8 +235,7 @@ def check_special_one(module, path): mgs = "ngmix incomplete" return mgs, code - - return None, None + return None, None class job_data(object): @@ -379,15 +378,15 @@ def print_stats( """ module_str = module - + if not self._special[idx]: if n_expected > 0: fraction_found = n_found / n_expected else: fraction_found = 1 - + n_missing_per_mult = n_missing / self._n_mult[idx] - + else: module_str = f"{module_str} (special)" n_found = n_special @@ -467,7 +466,7 @@ def write_IDs_to_file(self, output_path, IDs): def check_special(self, module, idx): messages = {} - + if self._special[idx]: # Loop over input file names and paths @@ -476,11 +475,11 @@ def check_special(self, module, idx): # Check if special case is found msg, code = check_special_one(module, path) if msg: - # First time occurance: create empty list for this code + # First time occurance: create empty list for this code if code not in messages: messages[code] = [] - # Append file name, message, and code + # Append file name, message, and code messages[code].append(f"{name} {code} {msg}") if len(messages) > 0: @@ -496,10 +495,10 @@ def check_special(self, module, idx): for msg in messages[code]: print(msg, file=f_out) - # Count all special cases = sum of cases over all codes + # Count all special cases = sum of cases over all codes n_all = sum([len(messages[code]) for code in messages]) return n_all - + def output_missing( self, module, @@ -527,9 +526,7 @@ def output_missing( # split_exp_runner with sp_local=0: input is exp, output is shdu # (images) and exp (header); ignore hdu number. # If sp_local=1 set bit to != 2 - pattern = re.compile( - r"(?:\d{3}-\d{3}|\d{7})" - ) + pattern = re.compile(r"(?:\d{3}-\d{3}|\d{7})") ## Extract image IDs from names IDs = [] @@ -541,7 +538,7 @@ def output_missing( IDs.append(ID) else: msg = f"No ID found in {path}" - #raise ValueError(msg) + # raise ValueError(msg) print(f"Warning: {msg}, continuing") # For split_exp_runner P8, IDs now contain exps and sdus, @@ -562,8 +559,7 @@ def output_missing( if not self._output_path_missing_IDs: # Default name using bit and module output_path = ( - f"{self._path_main}/summary/missing_job_{self._bit}" - + f"_{module}.txt" + f"{self._path_main}/summary/missing_job_{self._bit}" + f"_{module}.txt" ) else: # User-defined name (e.g. ngmix_runner_X) @@ -573,9 +569,7 @@ def output_missing( return missing_IDs_unique def output_missing_job(self): - output_path = ( - f"{self._path_main}/summary/missing_job_{self._bit}_all.txt" - ) + output_path = f"{self._path_main}/summary/missing_job_{self._bit}_all.txt" missing_IDs_all = set(self._missing_IDs_job) @@ -628,9 +622,7 @@ def get_matches_final(self, directory, idx): ): # Append matching files self._names_in_dir[idx].append(entry2.name) - self._paths_in_dir[idx].append( - os.path.join(directory, entry2.name) - ) + self._paths_in_dir[idx].append(os.path.join(directory, entry2.name)) def get_names_in_dir(self, iterable, module, idx): From 61f193c33f033c0400ea36fba71e61acebd5c281 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Wed, 15 Jan 2025 11:45:07 +0100 Subject: [PATCH 190/217] fixed bug in init run excl script --- scripts/sh/init_run_exclusive_canfar.sh | 2 +- scripts/sh/run_scratch_local.sh | 17 +++++++++++++---- 2 files changed, 14 insertions(+), 5 deletions(-) diff --git a/scripts/sh/init_run_exclusive_canfar.sh b/scripts/sh/init_run_exclusive_canfar.sh index 7f4660fa1..53ad85a1c 100755 --- a/scripts/sh/init_run_exclusive_canfar.sh +++ b/scripts/sh/init_run_exclusive_canfar.sh @@ -405,7 +405,7 @@ if [ $do_job != 0 ] && [ "$sp_local" == "1" ]; then fi -if [ "$kind" == $tile ] && [ "$sp_local" == "1" ]; then +if [ "$kind" == "tile" ] && [ "$sp_local" == "1" ]; then cd ../../.. command "link_to_exp_for_tile.py -t $ID -i tile_runs -I exp_runs -s $sp_local" $dry_run cd tile_runs/$ID diff --git a/scripts/sh/run_scratch_local.sh b/scripts/sh/run_scratch_local.sh index b4578ed93..1223e6683 100755 --- a/scripts/sh/run_scratch_local.sh +++ b/scripts/sh/run_scratch_local.sh @@ -38,7 +38,9 @@ usage="Usage: $(basename "$0") -j JOB -e ID -k KIND [OPTIONS] \tnumber of jobs (SMP mode only), default from original config files\n -d, --directory\n \trun directory, default is pwd ($dir)\n - -n, --dry_run\n + -S, --scratch\n + \tprocessing scratch directory, default is $scratch\n + -n, --dry_run LEVEL\n \tdry run, no actuall processing\n --debug_out PATH\n \tdebug output file PATH, default not used\n @@ -81,8 +83,13 @@ while [ $# -gt 0 ]; do dir="$2" shift ;; + -S|--scratch) + scratch="$2" + shift + ;; -n|--dry_run) - dry_run=1 + dry_run="$2" + shift ;; --debug_out) debug_out="$2" @@ -127,6 +134,8 @@ if [ "$scratch" != "-1" ]; then command "cp -R ${kind}_runs/$ID $scratch/${kind}_runs" $dry_run command "cd $scratch" $dry_run +fi + if [ "$slurm" == "0" ]; then command "init_run_exclusive_canfar.sh -j $job -p $psf -m $mh_local -N $N_SMP -e $ID" $dry_run else @@ -150,6 +159,8 @@ if [ "$scratch" != "-1" ]; then echo "Job $JOB_ID has completed. Proceeding with the script..." fi +if [ "$scratch" != "-1" ]; then + if [ "$job" == "32" ]; then command "mv ${kind}_runs/$ID/output/run_sp_exp_SxSe* $dir/${kind}_runs/$ID/output" $dry_run elif [ "$job" == "64" ]; then @@ -165,5 +176,3 @@ if [ "$scratch" != "-1" ]; then command "cd $dir" $dry_run fi - -exit 0 From a448166e0cdb4b1dea5698a71d0e76de29975966 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Thu, 16 Jan 2025 13:42:06 +0000 Subject: [PATCH 191/217] added script summary_tiles to characterise found and missing tiles --- scripts/python/summary_tiles.py | 183 ++++++++++++++++++++++++++++++++ 1 file changed, 183 insertions(+) create mode 100755 scripts/python/summary_tiles.py diff --git a/scripts/python/summary_tiles.py b/scripts/python/summary_tiles.py new file mode 100755 index 000000000..8c50124c4 --- /dev/null +++ b/scripts/python/summary_tiles.py @@ -0,0 +1,183 @@ +#!/usr/bin/env python + +import sys +import os +import re +import numpy as np + +from tqdm import tqdm + + +def get_input_IDs_patch(tiles, patch): + + # Read in files from summary output with missing CCDs. + # Create and update CCD name set. + fname = f"{patch}/tile_numbers.txt" + with open(fname) as f: + lines = f.readlines() + for line in lines: + ID = line.rstrip("\n") + tiles.append( + { + "ID": ID, + "patch": patch, + } + ) + + return tiles + + +def check_zero_weight(tiles, patches): + + for patch in tqdm(patches, desc="check zero weight"): + + fname = f"{patch}/summary/special_job_16_sextractor_runner_5.txt" + + if os.path.exists(fname): + + with open(fname) as f: + lines = f.readlines() + for line in lines: + m = re.search("process-(\d{3})-(\d{3})\.log", line) + if m: + ID = f"{m[1]}.{m[2]}" + my_tile = next((tile for tile in tiles if tile.get("ID") == ID), None) + my_tile["zero_weight"] = 1 + + return tiles + + +def check_exceptions(tiles, patches): + + for patch in tqdm(patches, desc="check processing exceptions"): + + fname = f"{patch}/exceptions.txt" + + if os.path.exists(fname): + + with open(fname) as f: + lines = f.readlines() + for line in lines: + m = re.search("(\d{3})\.(\d{3})\s+\t+(.*)", line) + if m: + ID = f"{m[1]}.{m[2]}" + my_tile = next((tile for tile in tiles if tile.get("ID") == ID), None) + my_tile[m[3]] = 1 + + return tiles + + +def get_final(tiles, patches): + + n_final = {} + + for patch in tqdm(patches, desc="check processing exceptions"): + + n_final[patch] = 0 + + fname = f"{patch}/n_tiles_final.txt" + if os.path.exists(fname): + with open(fname) as f: + lines = f.readlines() + for line in lines: + num = line.rstrip("\n") + n_final[patch] = int(num) + + n_final["all"] = sum(n_final.values()) + + return n_final + + +def fill_True(tiles, keys): + + + for tile in tiles: + for key in keys: + tile[key] = 0 + + return tiles + + +def summary(patches, keys): + + tiles = [] + + n_final = get_final(tiles, patches) + + # Loop over patches + for patch in tqdm(patches, desc="read input tile lists"): + tiles = get_input_IDs_patch(tiles, patch) + + tiles = fill_True(tiles, keys) + + tiles = check_zero_weight(tiles, patches) + + tiles = check_exceptions(tiles, patches) + + return tiles, n_final + +def print_tile(tile, f_out, keys): + + for key in keys: + print(f"{tile[key]}", file=f_out, end=" ") + print(file=f_out) + + +def output_tiles(tiles, path, keys): + + with open(path, "w") as f_out: + + for tile in tiles: + print_tile(tile, f_out, keys) + + +def print_summary(tiles, patches, n_final, keys, keys_sum, nform): + + for key in keys_sum: + print(key.rjust(nform, " "), end="") + print("tot_miss".rjust(nform, " ")) + + for patch in patches: + tiles_patch = [entry for entry in tiles if entry.get("patch") == patch] + print_summary_patch(tiles_patch, patch, n_final[patch], keys, nform) + print_summary_patch(tiles, "all", n_final["all"], keys, nform) + +def print_summary_patch(tiles, patch, n_final, keys, nform): + + n_tiles = len(tiles) + print(patch.rjust(nform, " "), end="") + print(str(n_tiles).rjust(nform, " "), end="") + print(str(n_final).rjust(nform, " "), end="") + n_all = 0 + for key in keys: + n = sum(v[key] for v in tiles) + print(str(n).rjust(nform, " "), end="") + n_all += n + print(str(n_all).rjust(nform, " "), f"{n_all / n_tiles:10.2%}", end="") + print() + + +def main(argv): + + n_patch = 7 + patches = [f'P{x}' for x in np.arange(n_patch) + 1] + + keys = ["zero_weight", "aborted", "large_num_det"] + + nform = 15 + + tiles, n_final = summary(patches, keys) + + output_path = "tile_summary.txt" + + keys_ext = ["ID", "patch"] + keys + output_tiles(tiles, output_path, keys_ext) + + keys_sum = ["patch", "n_tiles", "n_final"] + keys + print_summary(tiles, patches, n_final, keys, keys_sum, nform) + + return 0 + + +if __name__ == "__main__": + sys.exit(main(sys.argv)) From ddaa88ee848a6132522fadd79d610100a20fc59b Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Sun, 19 Jan 2025 08:13:00 +0000 Subject: [PATCH 192/217] new input_cat_type keyword in star cat header --- example/cfis/config_Ms_psfex_conv.ini | 3 ++ .../merge_starcat_package/merge_starcat.py | 45 +++++++++++++++++-- shapepipe/modules/merge_starcat_runner.py | 8 +++- 3 files changed, 51 insertions(+), 5 deletions(-) diff --git a/example/cfis/config_Ms_psfex_conv.ini b/example/cfis/config_Ms_psfex_conv.ini index 9c8b763e5..3a68acc41 100644 --- a/example/cfis/config_Ms_psfex_conv.ini +++ b/example/cfis/config_Ms_psfex_conv.ini @@ -64,5 +64,8 @@ NUMBERING_SCHEME = -0-0 # Cannot contain wild cards FILE_PATTERN = validation_psf_conv +# Additional header key +INPUT_CAT_TYPE = validation_psf_conf + # FILE_EXT (optional) list of string extensions to identify input files FILE_EXT = .fits diff --git a/shapepipe/modules/merge_starcat_package/merge_starcat.py b/shapepipe/modules/merge_starcat_package/merge_starcat.py index 67c258f96..461f2dc52 100644 --- a/shapepipe/modules/merge_starcat_package/merge_starcat.py +++ b/shapepipe/modules/merge_starcat_package/merge_starcat.py @@ -35,6 +35,9 @@ class MergeStarCatMCCD(object): Radius for mask, in pixels; default is ``10`` hdu_table : int, optional HDU number; default is ``1`` + input_cat_type : str, optional + Input catalogue type, added to outupt header; default is ``None``, + in which no key is added """ @@ -46,6 +49,7 @@ def __init__( stamp_size=51, rad=10, hdu_table=1, + input_cat_type=None, ): self._input_file_list = input_file_list @@ -54,6 +58,7 @@ def __init__( self._stamp_size = stamp_size self._rad = rad self._hdu_table = hdu_table + self._input_cat_type = input_cat_type @staticmethod def rmse_calc(values, sizes): @@ -498,6 +503,17 @@ def process(self): # Write file output.save_as_fits(data, sex_cat_path=self._input_file_list[0][0]) + # MKDEBUG; Implement this in file_io + if self._input_cat_type: + with fits.open(out_path, mode="update") as hdu_list: + header = hdu_list[1].header + + # Add a new key-value pair + header['CATTYPE'] = (self._input_cat_type, "Input catalogue type") + + # Save changes to the FITS file + hdu_list.flush() + class MergeStarCatPSFEX(object): @@ -515,15 +531,25 @@ class MergeStarCatPSFEX(object): Logging instance hdu_table : int, optional HDU number; default is ``2`` + input_cat_type : str, optional + Input catalogue type, added to outupt header; default is ``None``, + in which no key is added """ - def __init__(self, input_file_list, output_dir, w_log, hdu_table=2): - + def __init__( + self, + input_file_list, + output_dir, + w_log, + hdu_table=2, + input_cat_type=None, + ): self._input_file_list = input_file_list self._output_dir = output_dir self._w_log = w_log self._hdu_table = hdu_table + self._input_cat_type = input_cat_type def process(self): """Process. @@ -594,8 +620,9 @@ def process(self): # Prepare output FITS catalogue # MKDEBUG: SEx_cat=True -> False + out_path = f"{self._output_dir}/full_starcat-0000000.fits" output = file_io.FITSCatalogue( - f"{self._output_dir}/full_starcat-0000000.fits", + out_path, open_mode=file_io.BaseCatalogue.OpenMode.ReadWrite, SEx_catalogue=False, ) @@ -624,11 +651,21 @@ def process(self): # Write file # MKDEBUG for psf conv (pix2WCS) files do not write as SExtractorCat; # we do not want to copy the first input data content to HDU #1. + # sex_cat_path=self._input_file_list[0][0], output.save_as_fits( data, overwrite=True, ) - # sex_cat_path=self._input_file_list[0][0], + # MKDEBUG; Implement this in file_io + if self._input_cat_type: + with fits.open(out_path, mode="update") as hdu_list: + header = hdu_list[1].header + + # Add a new key-value pair + header['CATTYPE'] = (self._input_cat_type, "Input catalogue type") + + # Save changes to the FITS file + hdu_list.flush() class MergeStarCatSetools(object): diff --git a/shapepipe/modules/merge_starcat_runner.py b/shapepipe/modules/merge_starcat_runner.py index 5213809a6..3b08f9a59 100644 --- a/shapepipe/modules/merge_starcat_runner.py +++ b/shapepipe/modules/merge_starcat_runner.py @@ -43,6 +43,12 @@ def merge_starcat_runner( else: hdu = 1 + # Input star catalogue type, to be added to output header for information + if config.has_option(module_config_sec, "INPUT_CAT_TYPE"): + input_cat_type = config.get(module_config_sec, "INPUT_CAT_TYPE") + else: + input_cat_type = None + # Set output directory output_dir = run_dirs["output"] @@ -55,7 +61,7 @@ def merge_starcat_runner( MSC = merge_starcat.MergeStarCatSetools # Create instance of merge class - merge_inst = MSC(input_file_list, output_dir, w_log, hdu_table=hdu) + merge_inst = MSC(input_file_list, output_dir, w_log, hdu_table=hdu, input_cat_type=input_cat_type) # Run processing merge_inst.process() From b395bab37ddecf4695cb14795a884e633d802ba6 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Sun, 19 Jan 2025 08:13:28 +0000 Subject: [PATCH 193/217] spread model runner optional --- docs/source/pipeline_canfar.md | 8 ++++++-- scripts/sh/combine_runs.bash | 3 ++- scripts/sh/job_sp_canfar.bash | 3 ++- .../modules/vignetmaker_package/vignetmaker.py | 14 +++++++++++++- 4 files changed, 23 insertions(+), 5 deletions(-) diff --git a/docs/source/pipeline_canfar.md b/docs/source/pipeline_canfar.md index 9bb71334d..2e5359a2d 100644 --- a/docs/source/pipeline_canfar.md +++ b/docs/source/pipeline_canfar.md @@ -129,9 +129,13 @@ shapepipe_run -c $SP_CONFIG/config_Pl_$psf.ini ## Convert all input validation psf files and create directories par patch ## psf_conv_all/P? cd ../star_cat - ~/shapepipe/scripts/python/convert_psf_pix2world.py -i ../ -P $patch -v -# Combine previously created files within one SP run dir +# Create files validation_psf_conv--.fits +# (for the v1.4 setup only one file) + convert_psf_pix2world.py -i .. -P $patchnum -v + +# Combine previously created files as links within one SP run dir +# (for the v1.4 setup only one link cd P$patch combine_runs.bash -p psfex -c psf_conv diff --git a/scripts/sh/combine_runs.bash b/scripts/sh/combine_runs.bash index d7f1e5610..1dd763e28 100755 --- a/scripts/sh/combine_runs.bash +++ b/scripts/sh/combine_runs.bash @@ -165,7 +165,8 @@ elif [ "$cat" == "psf" ]; then elif [ "$cat" == "psf_conv" ]; then - run_in="$pwd/../P?" + #run_in="$pwd/../P?" + run_in="$pwd" pattern="validation_psf_conv-*" module="psfex_interp_runner" diff --git a/scripts/sh/job_sp_canfar.bash b/scripts/sh/job_sp_canfar.bash index cd806e83d..310808bc9 100755 --- a/scripts/sh/job_sp_canfar.bash +++ b/scripts/sh/job_sp_canfar.bash @@ -465,6 +465,7 @@ if [[ $do_job != 0 ]]; then fi ## Process tiles up to shape measurement +## MKDEBUG new 14/01/25: remove spread_model_runner (( do_job = $job & 64 )) if [[ $do_job != 0 ]]; then @@ -472,7 +473,7 @@ if [[ $do_job != 0 ]]; then letter=${psf:0:1} Letter=${letter^} command_cfg_shapepipe \ - "config_tile_${Letter}iViSmVi_canfar.ini" \ + "config_tile_${Letter}iViVi_canfar.ini" \ "Run shapepipe (tile PsfInterp=$Letter}: up to ngmix" \ $n_smp \ $exclusive diff --git a/shapepipe/modules/vignetmaker_package/vignetmaker.py b/shapepipe/modules/vignetmaker_package/vignetmaker.py index ec8002f6d..628fd9677 100644 --- a/shapepipe/modules/vignetmaker_package/vignetmaker.py +++ b/shapepipe/modules/vignetmaker_package/vignetmaker.py @@ -249,7 +249,19 @@ def _get_stamp_me(self, image_dirs, image_pattern): final_list = [] for hdu_index in hdu_ind: - exp_name = cat.get_data(hdu_index)["EXP_NAME"][0] + try: + exp_names = cat.get_data(hdu_index)["EXP_NAME"] + except: + raise KeyError( + f"Problem with key 'EXP_NAME' in file {self._galcat_path}" + + f" HDU #{hdu_index}" + ) + if len(exp_names) == 0: + raise IndexError( + f"EXP_NAME list is empty in file {self._galcat_path}" + + f" HDU #{hdu_index}" + ) + exp_name = exp_names[0] ccd_list = list(set(cat.get_data(hdu_index)["CCD_N"])) array_vign = None array_id = None From 8ff1e2ac4e3b7de3a57ca539345e8528dbbc2fd3 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Sun, 19 Jan 2025 08:13:41 +0000 Subject: [PATCH 194/217] spread model runner optional --- example/cfis/config_tile_PiViVi_canfar.ini | 167 +++++++++++++++++++++ 1 file changed, 167 insertions(+) create mode 100644 example/cfis/config_tile_PiViVi_canfar.ini diff --git a/example/cfis/config_tile_PiViVi_canfar.ini b/example/cfis/config_tile_PiViVi_canfar.ini new file mode 100644 index 000000000..6faf6d911 --- /dev/null +++ b/example/cfis/config_tile_PiViVi_canfar.ini @@ -0,0 +1,167 @@ +# ShapePipe configuration file for tile, from detection up to shape measurement. +# PSFEx PSF model. + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = True + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_tile_PsViSmVi + +# Add date and time to RUN_NAME, optional, default: False +; RUN_DATETIME = False + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +#MODULE = psfex_interp_runner, + +MODULE = psfex_interp_runner, vignetmaker_runner, vignetmaker_runner + +# Parallel processing mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names +INPUT_DIR = . + +# Output directory +OUTPUT_DIR = $SP_RUN/output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 16 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options + +[PSFEX_INTERP_RUNNER] + +INPUT_DIR = run_sp_tile_Sx:sextractor_runner + +FILE_PATTERN = sexcat + +FILE_EXT = .fits + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -000-000 + +# Run mode for psfex interpolation: +# CLASSIC: 'classical' run, interpolate to object positions +# MULTI-EPOCH: interpolate for multi-epoch images +# VALIDATION: validation for single-epoch images +MODE = MULTI-EPOCH + +# Column names of position parameters +POSITION_PARAMS = XWIN_WORLD,YWIN_WORLD + +# If True, measure and store ellipticity of the PSF +GET_SHAPES = True + +# Number of stars threshold +STAR_THRESH = 20 + +# chi^2 threshold +CHI2_THRESH = 2 + +# Multi-epoch mode parameters + +ME_DOT_PSF_DIR = all:psfex_runner + +# Input psf file pattern +ME_DOT_PSF_PATTERN = star_split_ratio_80 + +# Multi-epoch mode: Path to file with single-exposure WCS header information +ME_LOG_WCS = $SP_RUN/output/log_exp_headers.sqlite + + +# Create vignets for tiles weights +[VIGNETMAKER_RUNNER_RUN_1] + +INPUT_DIR = run_sp_tile_Sx:sextractor_runner, last:uncompress_fits_runner + +FILE_PATTERN = sexcat, CFIS_weight + +FILE_EXT = .fits, .fits + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -000-000 + +MASKING = False +MASK_VALUE = 0 + +# Run mode for psfex interpolation: +# CLASSIC: 'classical' run, interpolate to object positions +# MULTI-EPOCH: interpolate for multi-epoch images +# VALIDATION: validation for single-epoch images +MODE = CLASSIC + +# Coordinate frame type, one in PIX (pixel frame), SPHE (spherical coordinates) +COORD = PIX +POSITION_PARAMS = XWIN_IMAGE,YWIN_IMAGE + +# Vignet size in pixels +STAMP_SIZE = 51 + +# Output file name prefix, file name is _vignet.fits +PREFIX = weight + + +[VIGNETMAKER_RUNNER_RUN_2] + +# Create multi-epoch vignets for tiles corresponding to +# positions on single-exposures + +INPUT_DIR = run_sp_tile_Sx:sextractor_runner + +FILE_PATTERN = sexcat + +FILE_EXT = .fits + +# NUMBERING_SCHEME (optional) string with numbering pattern for input files +NUMBERING_SCHEME = -000-000 + +MASKING = False +MASK_VALUE = 0 + +# Run mode for psfex interpolation: +# CLASSIC: 'classical' run, interpolate to object positions +# MULTI-EPOCH: interpolate for multi-epoch images +# VALIDATION: validation for single-epoch images +MODE = MULTI-EPOCH + +# Coordinate frame type, one in PIX (pixel frame), SPHE (spherical coordinates) +COORD = SPHE +POSITION_PARAMS = XWIN_WORLD,YWIN_WORLD + +# Vignet size in pixels +STAMP_SIZE = 51 + +# Output file name prefix, file name is vignet.fits +PREFIX = + +# Additional parameters for path and file pattern corresponding to single-exposure +# run outputs +ME_IMAGE_DIR = all:split_exp_runner, all:split_exp_runner, all:split_exp_runner, all:sextractor_runner +ME_IMAGE_PATTERN = flag, image, weight, background +ME_LOG_WCS = $SP_RUN/output/log_exp_headers.sqlite From d2c2b7aa81ab8cd74d04d0162e67d259bde15212 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 24 Jan 2025 05:52:35 +0000 Subject: [PATCH 195/217] added P8 to summary tiles --- scripts/python/check_nobj_ngmix_mc,py | 72 +++++++++++++++++++++++++ scripts/python/summary_params_pre_v2.py | 2 +- scripts/python/summary_tiles.py | 2 +- 3 files changed, 74 insertions(+), 2 deletions(-) create mode 100644 scripts/python/check_nobj_ngmix_mc,py diff --git a/scripts/python/check_nobj_ngmix_mc,py b/scripts/python/check_nobj_ngmix_mc,py new file mode 100644 index 000000000..9596d326c --- /dev/null +++ b/scripts/python/check_nobj_ngmix_mc,py @@ -0,0 +1,72 @@ +#!/usr/bin/env python + +import os +import glob +from astropy.io import fits + +# Base directory for the tile runs +tile_runs_dir = "tile_runs" + +def get_naxis2_value(file_path): + """Get the NAXIS2 value from HDU #1 of a FITS file.""" + with fits.open(file_path) as hdul: + try: + return hdul[1].header.get('NAXIS2', None) + except: + raise IndexError(f"problem with {file_path} header") + +# Iterate through directories +for ID in os.listdir(tile_runs_dir): + id_path = os.path.join(tile_runs_dir, ID, "output") + + # Check if ID has the correct format + if not os.path.isdir(id_path) or not ID.replace('.', '', 1).isdigit(): + continue + + IDx = ID.replace('.', '-') + + # Define file paths + ngmix_file_pattern = os.path.join( + id_path, + f"run_sp_Ms_202*/merge_sep_cats_runner/output/ngmix-{IDx}.fits", + ) + mc_file_pattern = os.path.join( + id_path, + f"run_sp_Mc_202*/make_cat_runner/output/final_cat-{IDx}.fits", + ) + + # Resolve file names using glob to handle wildcard + ngmix_files = [f for f in glob.glob(ngmix_file_pattern)] + mc_files = [f for f in glob.glob(mc_file_pattern)] + + if not ngmix_files: + print(f"{ID} -- ngmix cat {ngmix_file} not found") + continue + if not mc_files: + print(f"{ID} -- mc cats not found") + continue + + ngmix_file = ngmix_files[-1] # Use the last match if multiple exist + mc_file = mc_files[-1] # Use the last match if multiple exist + + # Get NAXIS2 values + ngmix_naxis2 = get_naxis2_value(ngmix_file) + mc_naxis2 = get_naxis2_value(mc_file) + + if ngmix_naxis2 is None: + print(f"{ID} -- no NAXIS2 keyword found in ngmix cat {ngmix_file}") + continue + if mc_naxis2 is None: + print(f"{ID} -- no NAXIS2 keyword found in mc cat") + continue + + # Compare values and output ID if they differ + if ngmix_naxis2 != mc_naxis2: + ratio = float(ngmix_naxis2) / float(mc_naxis2) + if ratio < 0.5: + print(f"{ID} -- NAXIS2 differ {ngmix_naxis2} / {mc_naxis2} = {ratio:.3f}") + else: + print(f"{ID} -- similar NAXIS2, {ngmix_naxis2} / {mc_naxis2} = {ratio:.3f}") + else: + print(f"{ID} -- identcal NAXIS2 {ngmix_naxis2} {mc_naxis2}") + diff --git a/scripts/python/summary_params_pre_v2.py b/scripts/python/summary_params_pre_v2.py index 9c59692c5..14d8022a3 100644 --- a/scripts/python/summary_params_pre_v2.py +++ b/scripts/python/summary_params_pre_v2.py @@ -199,7 +199,7 @@ def set_jobs_v2_pre_v2(patch, verbose): verbose=verbose, ) - if patch in ("P2", "P5"): + if patch in ("P2", "P5", "P8"): n_sh = 1 else: n_sh = 8 diff --git a/scripts/python/summary_tiles.py b/scripts/python/summary_tiles.py index 8c50124c4..9addbb017 100755 --- a/scripts/python/summary_tiles.py +++ b/scripts/python/summary_tiles.py @@ -159,7 +159,7 @@ def print_summary_patch(tiles, patch, n_final, keys, nform): def main(argv): - n_patch = 7 + n_patch = 8 patches = [f'P{x}' for x in np.arange(n_patch) + 1] keys = ["zero_weight", "aborted", "large_num_det"] From 985a1cb8afe22582a8a6ff4023ff3cf13de7fef5 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 24 Jan 2025 05:52:50 +0000 Subject: [PATCH 196/217] make_cat: check on n_obj --- .../modules/make_cat_package/make_cat.py | 84 ++++++++++++++++--- shapepipe/modules/make_cat_runner.py | 37 ++++++-- 2 files changed, 102 insertions(+), 19 deletions(-) diff --git a/shapepipe/modules/make_cat_package/make_cat.py b/shapepipe/modules/make_cat_package/make_cat.py index e9b246a74..71aaf55ce 100644 --- a/shapepipe/modules/make_cat_package/make_cat.py +++ b/shapepipe/modules/make_cat_package/make_cat.py @@ -2,7 +2,7 @@ This module contains a class to create a shear catalogue. -:Author: Axel Guinot +:Authors: Axel Guinot, Martin Kilbinger """ @@ -19,6 +19,27 @@ from shapepipe.utilities import galaxy +def get_output_name(output_dir, file_number_string): + """Get Output Name. + + Return output file name. + + Parameters + ---------- + output_dir : str + directory name + file_number_string : str + ShapePipe pipeline number string + + Returns + ------- + str + output path name + + """ + return f"{output_dir}/final_cat{file_number_string}.fits" + + def prepare_final_cat_file(output_path, file_number_string): """Prepare Final Catalogue File. @@ -37,7 +58,8 @@ def prepare_final_cat_file(output_path, file_number_string): Output FITS file """ - output_name = f"{output_path}/final_cat{file_number_string}.fits" + + output_name = get_output_name(output_path, file_number_string) return file_io.FITSCatalogue( output_name, @@ -84,6 +106,11 @@ def save_sextractor_data(final_cat_file, sexcat_path, remove_vignet=True): remove_vignet : bool If ``True`` will not save the ``VIGNET`` field into the final catalogue + Returns + ------- + int + Number of objects saved + """ sexcat_file = file_io.FITSCatalogue(sexcat_path, SEx_catalogue=True) sexcat_file.open() @@ -109,6 +136,8 @@ def save_sextractor_data(final_cat_file, sexcat_path, remove_vignet=True): sexcat_file.close() + return cat_size + def save_sm_data( final_cat_file, @@ -138,6 +167,10 @@ def save_sm_data( Threshold for galaxy selection; object is classified as galaxy if :math:`{\rm class} >` ``gal_thresh`` + Returns + ------- + int + Number of objects saved """ final_cat_file.open() @@ -146,6 +179,7 @@ def save_sm_data( sm = np.copy(sexcat_sm_file.get_data()["SPREAD_MODEL"]) sm_err = np.copy(sexcat_sm_file.get_data()["SPREADERR_MODEL"]) + cat_size = len(sm) sexcat_sm_file.close() @@ -162,6 +196,8 @@ def save_sm_data( final_cat_file.close() + return cat_size + class SaveCatalogue: """Save Catalogue. @@ -172,12 +208,15 @@ class SaveCatalogue: ---------- final_cat_file : str Final catalogue file name + cat_size_target : int + target catalogue size """ - def __init__(self, final_cat_file): + def __init__(self, final_cat_file, cat_size_target): - self.final_cat_file = final_cat_file + self._final_cat_file = final_cat_file + self._cat_size_target = cat_size_target def process( self, @@ -196,29 +235,39 @@ def process( moments : bool Option to run ``ngmix`` mode with moments + Returns + -------- + str + error message if failure; `None` if success + """ self._output_dict = {} - self.final_cat_file.open() - self._obj_id = np.copy(self.final_cat_file.get_data()["NUMBER"]) + self._final_cat_file.open() + self._obj_id = np.copy(self._final_cat_file.get_data()["NUMBER"]) + err_msg = None if mode == "ngmix": - self._save_ngmix_data(cat_path, moments) + err_msg = self._save_ngmix_data(cat_path, moments) elif mode == "galsim": self._save_galsim_shapes(cat_path) elif mode == "psf": self._save_psf_data(cat_path) else: - raise ValueError( + err_msg = ( f"Invalid process mode ({mode}) for " + '``make_cat.Savecatalogue``. Options are "ngmix", ' + '"galsim" or "psf".' ) - for key in self._output_dict.keys(): - self.final_cat_file.add_col(key, self._output_dict[key]) + if err_msg is None: + + for key in self._output_dict.keys(): + self._final_cat_file.add_col(key, self._output_dict[key]) + + self._final_cat_file.close() - self.final_cat_file.close() + return err_msg def _update_dict(self, key_string, value): """Update Dictionary. @@ -278,6 +327,15 @@ def _save_ngmix_data(self, ngmix_cat_path, moments=False): ngmix_cat_file.open() ngmix_n_epoch = ngmix_cat_file.get_data()["n_epoch_model"] + if len(ngmix_n_epoch) / self._cat_size_target < 0.9: + ngmix_cat_file.close() + err_msg = ( + f"Merged shape catalogue {ngmix_cat_path} has very different size" + + f" ({len(ngmix_n_epoch)}) than target size" + + f" {self._cat_size_target})" + ) + return err_msg + ngmix_mom_fail = ngmix_cat_file.get_data()["moments_fail"] if moments: @@ -392,6 +450,8 @@ def _save_ngmix_data(self, ngmix_cat_path, moments=False): ngmix_cat_file.close() + return None + def _save_galsim_shapes(self, galsim_cat_path): """Save GalSim Shapes. @@ -518,7 +578,7 @@ def _save_psf_data(self, galaxy_psf_path): """ galaxy_psf_cat = SqliteDict(galaxy_psf_path) - max_epoch = np.max(self.final_cat_file.get_data()["N_EPOCH"]) + 1 + max_epoch = np.max(self._final_cat_file.get_data()["N_EPOCH"]) + 1 self._output_dict = { f"PSF_ELL_{idx + 1}": np.ones((len(self._obj_id), 2)) * -10.0 diff --git a/shapepipe/modules/make_cat_runner.py b/shapepipe/modules/make_cat_runner.py index f36209f42..9feb1804a 100644 --- a/shapepipe/modules/make_cat_runner.py +++ b/shapepipe/modules/make_cat_runner.py @@ -2,10 +2,12 @@ Module runner for ``make_cat``. -:Author: Axel Guinot +:Authors: Axel Guinot, Martin Kilbinger """ +import os + from shapepipe.modules.make_cat_package import make_cat from shapepipe.modules.module_decorator import module_runner @@ -83,11 +85,14 @@ def make_cat_runner( # Save SExtractor data w_log.info("Save SExtractor data") - make_cat.save_sextractor_data(final_cat_file, tile_sexcat_path) + cat_size_sextractor = make_cat.save_sextractor_data( + final_cat_file, + tile_sexcat_path + ) # Save spread-model data w_log.info("Save spread-model data") - make_cat.save_sm_data( + cat_size_sm = make_cat.save_sm_data( final_cat_file, sexcat_sm_path, do_classif, @@ -95,17 +100,35 @@ def make_cat_runner( gal_thresh, ) + if cat_size_sextractor != cat_size_sm: + raise ValueError( + f"SExtractor catalogue {tile_sexcat_path} has different size" + + f" ({cat_size_sextractor} than spread_model catalogue" + + f" {sexcat_sm_path} ({cat_size_sm})" + ) + # Save shape data - sc_inst = make_cat.SaveCatalogue(final_cat_file) + sc_inst = make_cat.SaveCatalogue(final_cat_file, cat_size_sextractor) w_log.info("Save shape measurement data") for shape_type in shape_type_list: w_log.info(f"Save {shape_type.lower()} data") cat_path = ( shape2_cat_path if shape_type == "galsim" else shape1_cat_path ) - sc_inst.process(shape_type.lower(), cat_path) + err_msg = sc_inst.process(shape_type.lower(), cat_path) + + + # If error message: delete (incomplete) output file and raise error + if err_msg is not None: + os.remove( + make_cat.get_output_name( + run_dirs["output"], + file_number_string, + ) + ) + raise ValueError(err_msg) + if save_psf: - sc_inst.process("psf", galaxy_psf_path) + err_msg = sc_inst.process("psf", galaxy_psf_path) - # No return objects return None, None From aff85a222bc8eb723dc878ebd736a2ec8de125e0 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Fri, 24 Jan 2025 09:47:29 +0100 Subject: [PATCH 197/217] create final, version was lost from v1.4 --- scripts/python/create_final_cat.py | 1 + 1 file changed, 1 insertion(+) diff --git a/scripts/python/create_final_cat.py b/scripts/python/create_final_cat.py index 059d91f8b..02c13b6d2 100755 --- a/scripts/python/create_final_cat.py +++ b/scripts/python/create_final_cat.py @@ -7,6 +7,7 @@ Usage: in parent dir of patches: create_final_cat.py -p ~/shapepipe/example/cfis/final_cat.param -i . -P 7 -v -m final_cat_P7.hdf5 + :Author: Martin Kilbinger """ From 26bee538b0aee2c5d300c31a2ce33acdd3026cc4 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 24 Jan 2025 08:53:28 +0000 Subject: [PATCH 198/217] added date to script header --- scripts/python/create_final_cat.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/scripts/python/create_final_cat.py b/scripts/python/create_final_cat.py index 02c13b6d2..f55ea2e2f 100755 --- a/scripts/python/create_final_cat.py +++ b/scripts/python/create_final_cat.py @@ -10,6 +10,8 @@ :Author: Martin Kilbinger +:Date: 2025 + """ import sys From 45ab4e1889e3851358951e802e4378161ca21a8f Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 24 Jan 2025 08:56:19 +0000 Subject: [PATCH 199/217] copied modified (and lost) version of create final script --- scripts/python/create_final_cat.py | 272 ++++++++++++++++------------- 1 file changed, 153 insertions(+), 119 deletions(-) diff --git a/scripts/python/create_final_cat.py b/scripts/python/create_final_cat.py index 775c1d1f6..f55ea2e2f 100644 --- a/scripts/python/create_final_cat.py +++ b/scripts/python/create_final_cat.py @@ -1,7 +1,5 @@ #!/usr/bin/env python -# -*- coding: utf-8 -*- - """Script create_final_cat.py Create and update hdf5 file of all final ShapePipe output FITS files, runs of @@ -12,6 +10,8 @@ :Author: Martin Kilbinger +:Date: 2025 + """ import sys @@ -63,22 +63,37 @@ def params_default(): """ _params = { "input_root_dir": ".", - "output_path": "final_cat.hdf5", + "merged_cat_path": "final_cat.hdf5", "param_path": None, "hdu_num": 1, + "patch": "3", + "list_only": False, + "output_summary": "n_tiles_final.txt", + "ID": None, + "single_op": None, } _short_options = { "input_root_dir": "-i", - "output_path": "-o", + "merged_cat_path": "-m", "param_path": "-p", + "patch": "-P", + "list_only": "-l", + "output_summary": "-o", + "single_op": "-s", } - _types = { - "hdu_num": "int", + _types = { + "hdu_num": "int", + "list_only": "bool", } _help_strings = { - "input_root_dir": "input root_dir for tile catalogues", - "output_path": "output path (hdf5 file)", - "param_path": "parameter file path, if not given use all columns", + "input_root_dir": "input root_dir for tile catalogues, default={}", + "merged_cat_path": "merged catalogue path (hdf5 file), default={}", + "param_path": "parameter file path, if not given use all columns, default={}", + "patch": "patch number, default={}", + "list_only": "print list of patches and IDs only, default={}", + "output_summary": "output file for numbre of tiles, default={}", + "ID": "ID for single-ID operation, default={}", + "single_op": "single ID operation, allowed are 'check', 'add', 'remove'; default={}", } return _params, _short_options, _types, _help_strings @@ -86,6 +101,7 @@ def params_default(): def read_param_file(path, verbose=False): """Read Param File. + MKDEBUG TODO: Move to cs_util. Also used in sp_val/cat.py. Return parameter list read from file. @@ -119,9 +135,9 @@ def read_param_file(path, verbose=False): if verbose: if len(param_list) > 0: - print(f"Copying {len(param_list)} columns", end="") + print(f"Read {len(param_list)} columns", end="") else: - print("Copying all columns", end="") + print("No parameters read", end="") print(" into merged catalogue") param_list_unique = list(set(param_list)) @@ -137,7 +153,7 @@ def read_param_file(path, verbose=False): def check_params(params): if bool(params["ID"] is None) != bool(params["single_op"] is None): - print("Both or none of the options 'ID' and 'single_op' need to be specified") + print("Both or none of the ptions 'ID' and 'single_op' need to be specified") return False return True @@ -204,27 +220,15 @@ def check_ID(merged_cat_path, ID, verbose=False): def print_list(params): - """Print List. - Print number of tile IDs found in hdf5 file. - - Parameters - ---------- - params: dict - parameters - - """ n_tiles = 0 - # Open hdf5 merge cat file with h5py.File(params["merged_cat_path"], "r") as hdf5_file: - # Loop over patches contained in hdf5 file for patch in hdf5_file["patches"]: - # Count tiles summed over all patches + #print(patch) for id in hdf5_file[f"patches/{patch}"]: n_tiles += 1 - # Write number of tiles to output file with open(params["output_summary"], "w") as f_out: print(n_tiles, file=f_out) @@ -265,26 +269,8 @@ def get_patch_group(hdf5_file, patch, verbose=False): def read_data(fits_file, params): """Read Data. - Read data from final merge catalogue FITS file. - - Parameters - ---------- - fits_file: str - intput FITS file path - params: dict - parameters - - Returns - ------- - dict - data - list - dtypes of data columns - """ - # Open FITS file with fits.open(fits_file) as hdu_list: - # Get data of indicated HDU number try: data = hdu_list[params["hdu_num"]].data except: @@ -295,7 +281,6 @@ def read_data(fits_file, params): if params["param_list"] is None: params["param_list"] = [col for col in data.keys()] - # Copy data to output dict; copy dtypes try: extracted_data = {col: data[col] for col in params["param_list"]} dtype = data.dtype @@ -326,105 +311,148 @@ def copy_data(param_list, extracted_data, dtype): print(f"Column {col} not in file with ID {id}") structured_data[col] = extracted_data[col] - return True + #if isinstance(extracted_data[col][0], (np.ndarray, tuple, list)): + if False: + + # If multi-entry loop over entries + print(col) + num_elements = len(extracted_data[col][0]) + for idx in range(num_elements): + new_col_name = f"{col}_{idx}" + dtype.append((new_col_name, extracted_data[col].dtype)) + try: + structured_data[new_col_name] = [x[idx] for x in extracted_data[col]] + except: + print(f"Error for ID {id} for column {new_col_name}") + raise + + return structured_data def process(params): - #patch_pattern = re.compile(r"P\d") # Matches P followed by a single digit - patch_pattern = re.compile(r"P3") # Matches P followed by a single digit + patch = rf"P{params['patch']}" + patch_pattern = re.compile(patch) # Define the nested path pattern for locating `.fits` files file_pattern = "output/run_sp_Mc_*/make_cat_runner/output/*.fits" # Regex pattern for tile IDs id_pattern = re.compile(r"^\d+\.\d+$") + + n_added = 0 # Open the HDF5 file (create it if it doesn't exist) if params["verbose"]: - print(f"Initializing file {params['output_path']}") - with h5py.File(params["output_path"], "a") as hdf5_file: + print(f"Initializing file {params['merged_cat_path']}") + with h5py.File(params["merged_cat_path"], "a") as hdf5_file: # Iterate over patches for patch in os.listdir(params["input_root_dir"]): - if not patch_pattern.fullmatch(patch): # Skip non-matching entries - continue + # Skip non-matching entries + if not patch_pattern.fullmatch(patch): + continue + + # Full path to patch patch_path = os.path.join(params["input_root_dir"], patch) - if not os.path.isdir(patch_path): - continue - - # Get or create a group for the patch - if f"patches/{patch}" in hdf5_file: if params["verbose"]: - print(f"Extending group for patch {patch}") - patch_group = hdf5_file[f"patches/{patch}"] - else: - if params["verbose"]: - print(f"Creating new group for patch {patch}") - patch_group = hdf5_file.create_group(f"patches/{patch}") + print(f"Path {patch_path} not found, skipping") + continue + # Get hdf5 group for this patch + patch_group = get_patch_group(hdf5_file, patch, params["verbose"]) + + # Get paths to all tile IDs and loop tile_runs_path = os.path.join(patch_path, "tile_runs") - #if params["verbose"]: - #print(f"Loop over tile IDs in {tile_runs_path}...") subdirs = os.listdir(tile_runs_path) - #if params["verbose"]: - #print(f"{len(subdirs)} IDs found") - for id in tqdm.tqdm(subdirs, total=len(subdirs)): + + # Skip if the patch/ID data already exists + if id in patch_group: + if params["verbose"]: + print(f"Skipping {id} (already processed)") + continue + if id_pattern.match(id) and os.path.isdir(os.path.join(tile_runs_path, id)): id_path = os.path.join(tile_runs_path, id) - output_path = os.path.join(id_path, "output", "run_sp_Mc_*", "make_cat_runner", "output", "*.fits") - fits_files = glob.glob(output_path, recursive=True) - for fits_file in fits_files: - - # Skip if the dataset already exists - if id in patch_group: - if params["verbose"]: - print(f"Skipping {id} (already processed)") - continue - - #if params["verbose"]: - #print(f"Reading file {fits_file}...") - with fits.open(fits_file) as hdul: - data = hdul[params["hdu_num"]].data - - # If columns not given on input: read all column names - if params["param_list"] is None: - params["param_list"] = [col for col in data.keys()] - - try: - extracted_data = {col: data[col] for col in params["param_list"]} - except: - print("Error for ID {id}. Keys not found:") - for col in params["param_list"]: - if col not in data: - print(col, end=" ") - print() - continue - - # For columns with 2-entry quantities, ensure proper dtype - dtype = [] - structured_data = np.empty(len(extracted_data[params["param_list"][0]]), dtype=dtype) - for col in params["param_list"]: - if isinstance(extracted_data[col][0], (np.ndarray, tuple, list)): - num_elements = len(extracted_data[col][0]) - for idx in range(num_elements): - new_col_name = f"{col}_{idx}" - dtype.append((new_col_name, extracted_data[col].dtype)) - structured_data[new_col_name] = [x[i] for x in extracted_data[col]] # Extract element `i` - else: - dtype.append((col, extracted_data[col].dtype)) - structured_data[col] = extracted_data[col] + base_pattern = os.path.join(id_path, "output", "run_sp_Mc_*") + all_matches = [d for d in glob.glob(base_pattern) if os.path.isdir(d)] + if not all_matches: + if params["verbose"]: + print(f"Final cat for {id} not found, continuing") + continue + newest_dir = max(all_matches, key=os.path.getmtime) + + id_dash = re.sub("\.", "-", id) + fits_file = f"{newest_dir}/make_cat_runner/output/final_cat-{id_dash}.fits" + + # Exclude unsuccessful run without output FITS file + if not os.path.exists(fits_file): + if params["verbose"]: + print(f"Run without output file found for {id}, skipping") + continue + + if True: + extracted_data, dtype = read_data(fits_file, params) + + structured_data = copy_data(params["param_list"], extracted_data, dtype) # Create a new dataset - patch_group.create_dataset( - str(id), - data=structured_data, - dtype=dtype, - ) + try: + patch_group.create_dataset( + str(id), + data=structured_data, + dtype=dtype, + ) + except: + print(f"Error for {id}: Could not create dataset in group {patch}") + raise + + n_added += 1 + + if params["verbose"]: + print(f"{n_added} tiles added") + + +def single_action(params): + """Single Action. + + Perform single-ID action. + + Parameters + ---------- + params : dict + parameter options) + + Returns + ------- + int + return value: 0 (success), 1 (failure), ``None`` (no action performed) + + """ + if params["single_op"] == "check": + # Check wheter ID is part of hdf5 file + found = check_ID(params["merged_cat_path"], params["ID"], verbose=params["verbose"]) + if found == "": + # ID not found + res = 1 + # ID found + res = 0 + + elif params["single_op"] == "remove": + # Remove ID + remove_ID(params["merged_cat_path"], params["ID"], verbose=params["verbose"]) + res = 0 + + else: + + # No action performed + res = None + + return res def main(argv=None): @@ -435,15 +463,21 @@ def main(argv=None): check_params(params) - params["param_list"] = read_param_file(params["param_path"], verbose=params["verbose"]) + res = single_action(params) + if res is not None: + return res + + if params["list_only"] == False: + params["param_list"] = read_param_file( + params["param_path"], + verbose=params["verbose"], + ) + process(params) - process(params) + print_list(params) return 0 if __name__ == "__main__": sys.exit(main(sys.argv)) - - - From 5684083194932ccd929d5b04dd69ced48ce694cf Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 31 Jan 2025 16:38:39 +0000 Subject: [PATCH 200/217] make_cat: change error to warning if SEx and ngmix cats have diff sizes --- shapepipe/modules/make_cat_package/make_cat.py | 2 +- shapepipe/modules/make_cat_runner.py | 3 ++- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/shapepipe/modules/make_cat_package/make_cat.py b/shapepipe/modules/make_cat_package/make_cat.py index 71aaf55ce..f2311705e 100644 --- a/shapepipe/modules/make_cat_package/make_cat.py +++ b/shapepipe/modules/make_cat_package/make_cat.py @@ -327,7 +327,7 @@ def _save_ngmix_data(self, ngmix_cat_path, moments=False): ngmix_cat_file.open() ngmix_n_epoch = ngmix_cat_file.get_data()["n_epoch_model"] - if len(ngmix_n_epoch) / self._cat_size_target < 0.9: + if len(ngmix_n_epoch) / self._cat_size_target < 0.5: ngmix_cat_file.close() err_msg = ( f"Merged shape catalogue {ngmix_cat_path} has very different size" diff --git a/shapepipe/modules/make_cat_runner.py b/shapepipe/modules/make_cat_runner.py index 9feb1804a..43ab6fcf7 100644 --- a/shapepipe/modules/make_cat_runner.py +++ b/shapepipe/modules/make_cat_runner.py @@ -126,7 +126,8 @@ def make_cat_runner( file_number_string, ) ) - raise ValueError(err_msg) + #raise ValueError(err_msg) + w_log.info(f"Warning: {err_msg}") if save_psf: err_msg = sc_inst.process("psf", galaxy_psf_path) From 9cc64058aaddce7ccaf06dc4a5d1b0bbec21e67e Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 31 Jan 2025 16:39:31 +0000 Subject: [PATCH 201/217] quick-and-dirty script to check consistency of ngmix, merged, and final cats --- scripts/python/check_nobj_ngmix_mc.py | 110 ++++++++++++++++++++++++++ 1 file changed, 110 insertions(+) create mode 100755 scripts/python/check_nobj_ngmix_mc.py diff --git a/scripts/python/check_nobj_ngmix_mc.py b/scripts/python/check_nobj_ngmix_mc.py new file mode 100755 index 000000000..608b34941 --- /dev/null +++ b/scripts/python/check_nobj_ngmix_mc.py @@ -0,0 +1,110 @@ +#!/usr/bin/env python + +import os +import glob +from astropy.io import fits + +# Base directory for the tile runs +tile_runs_dir = "tile_runs" + + +def get_naxis2_value(file_path): + """Get the NAXIS2 value from HDU #1 of a FITS file.""" + try: + hdu_list = fits.open(file_path) + except: + raise OSError(f"problem with opening {file_path}") + + try: + return hdu_list[1].header.get("NAXIS2", None) + except: + raise IndexError(f"problem with {file_path} header") + + hdu_list.close() + + +# Iterate through directories +for ID in os.listdir(tile_runs_dir): + id_path = os.path.join(tile_runs_dir, ID, "output") + + # Check if ID has the correct format + if not os.path.isdir(id_path): # or not ID.replace(".", "", 1).isdigit(): + print(f"{ID} -- path {id_path} not found") + continue + + IDx = ID.replace(".", "-") + + # Define file paths + ngmix_file_pattern = os.path.join( + id_path, + f"run_sp_Ms_202*/merge_sep_cats_runner/output/ngmix-{IDx}.fits", + ) + mc_file_pattern = os.path.join( + id_path, + f"run_sp_Mc_202*/make_cat_runner/output/final_cat-{IDx}.fits", + ) + + # Resolve file names using glob to handle wildcard + ngmix_files = [f for f in glob.glob(ngmix_file_pattern)] + mc_files = [f for f in glob.glob(mc_file_pattern)] + + if not ngmix_files: + print(f"{ID} -- ngmix cats {ngmix_file_pattern} not found") + continue + if not mc_files: + print(f"{ID} -- mc cats not {mc_file_pattern} found") + continue + + # Get newest files + ngmix_file = max(ngmix_files, key=lambda f: os.path.getmtime(f)) + mc_file = max(mc_files, key=lambda f: os.path.getmtime(f)) + + # Get NAXIS2 values + ngmix_naxis2 = get_naxis2_value(ngmix_file) + mc_naxis2 = get_naxis2_value(mc_file) + + # Look at separate ngmix cats + sep_ngmix_file_pattern = os.path.join( + id_path, + f"run_sp_tile_ngmix_Ng*/ngmix_runner/output/ngmix-{IDx}.fits", + ) + sep_ngmix_files = [f for f in glob.glob(sep_ngmix_file_pattern)] + if not sep_ngmix_files: + raise ValueError(f"No separate ngmix files found for ID {ID}") + sep_naxis2 = 0 + for sep_ngmix_file in sep_ngmix_files: + sep_naxis2 += get_naxis2_value(sep_ngmix_file) + + if ngmix_naxis2 is None: + print(f"{ID} -- no NAXIS2 keyword found in ngmix cat {ngmix_file}") + continue + if mc_naxis2 is None: + print(f"{ID} -- no NAXIS2 keyword found in mc cat") + continue + + + # Check run tim of 256b and 512 jobs + if os.path.getmtime(ngmix_file) > os.path.getmtime(mc_file): + print(f"{ID} -- merged newer than mc {os.path.getmtime(ngmix_file)}" + + f" {os.path.getmtime(mc_file)}" + ) + + # Compare values and output ID if they differ + if ngmix_naxis2 != sep_naxis2: + print( + f"{ID} -- ngmix differ between sep {sep_naxis2} and merged" + + f" {ngmix_naxis2}" + ) + if ngmix_naxis2 != mc_naxis2: + ratio = float(ngmix_naxis2) / float(mc_naxis2) + if ratio < 0.75: + + print( + f"{ID} -- NAXIS2 differ {ngmix_naxis2} / {mc_naxis2} =" + + f" {ratio:.3f} (sum {len(sep_ngmix_files)} sep_ng =" + + f" {sep_naxis2})" + ) + else: + print(f"{ID} -- similar NAXIS2, {ngmix_naxis2} / {mc_naxis2} = {ratio:.3f}") + else: + print(f"{ID} -- identcal NAXIS2 {ngmix_naxis2} {mc_naxis2}") From 8b81f7b1fc4d6ff0f091c5ba652466127dd05a9f Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 31 Jan 2025 16:40:04 +0000 Subject: [PATCH 202/217] create final cat: bug fixed; verbose changed --- scripts/python/create_final_cat.py | 24 ++++++++++++++++++------ 1 file changed, 18 insertions(+), 6 deletions(-) mode change 100644 => 100755 scripts/python/create_final_cat.py diff --git a/scripts/python/create_final_cat.py b/scripts/python/create_final_cat.py old mode 100644 new mode 100755 index f55ea2e2f..e6c427d80 --- a/scripts/python/create_final_cat.py +++ b/scripts/python/create_final_cat.py @@ -153,9 +153,18 @@ def read_param_file(path, verbose=False): def check_params(params): if bool(params["ID"] is None) != bool(params["single_op"] is None): - print("Both or none of the ptions 'ID' and 'single_op' need to be specified") + print("Both or none of the options 'ID' and 'single_op' need to be specified") return False + if bool(params["single_op"] is not None): + allowed = ("check", "add", "remove") + if params["single_op"] not in allowed: + print( + f"Invalid single_op '{params['single_op']}', allowed are" + + f" {', '.join(allowed)}" + ) + return False + return True @@ -216,6 +225,7 @@ def check_ID(merged_cat_path, ID, verbose=False): return patch if verbose: print(f"ID {ID} not found") + return "" @@ -373,7 +383,7 @@ def process(params): if id in patch_group: if params["verbose"]: print(f"Skipping {id} (already processed)") - continue + continue if id_pattern.match(id) and os.path.isdir(os.path.join(tile_runs_path, id)): id_path = os.path.join(tile_runs_path, id) @@ -393,7 +403,7 @@ def process(params): if not os.path.exists(fits_file): if params["verbose"]: print(f"Run without output file found for {id}, skipping") - continue + continue if True: extracted_data, dtype = read_data(fits_file, params) @@ -435,7 +445,8 @@ def single_action(params): """ if params["single_op"] == "check": # Check wheter ID is part of hdf5 file - found = check_ID(params["merged_cat_path"], params["ID"], verbose=params["verbose"]) + found = check_ID(params["merged_cat_path"], params["ID"], verbose=True) + if found == "": # ID not found res = 1 @@ -444,7 +455,7 @@ def single_action(params): elif params["single_op"] == "remove": # Remove ID - remove_ID(params["merged_cat_path"], params["ID"], verbose=params["verbose"]) + remove_ID(params["merged_cat_path"], params["ID"], verbose=True) res = 0 else: @@ -461,7 +472,8 @@ def main(argv=None): argv = sys.argv[0:] params = set_params_from_command_line(argv) - check_params(params) + if check_params(params) == False: + return 1 res = single_action(params) if res is not None: From a13cc5718ed6661f73196e8bab82821e638f21e9 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 31 Jan 2025 16:40:42 +0000 Subject: [PATCH 203/217] special 256 case --- scripts/python/summary_params_pre_v2.py | 12 ++++++------ shapepipe/utilities/summary.py | 7 +++++++ 2 files changed, 13 insertions(+), 6 deletions(-) diff --git a/scripts/python/summary_params_pre_v2.py b/scripts/python/summary_params_pre_v2.py index 14d8022a3..10118039f 100644 --- a/scripts/python/summary_params_pre_v2.py +++ b/scripts/python/summary_params_pre_v2.py @@ -152,7 +152,6 @@ def set_jobs_v2_pre_v2(patch, verbose): "run_sp_exp_SxSePsf", "run_sp_exp_SxSePsf", "run_sp_exp_SxSePsf", - #"run_sp_exp_Pi" ], [ "sextractor_runner", @@ -160,7 +159,6 @@ def set_jobs_v2_pre_v2(patch, verbose): "setools_runner", "setools_runner", "psfex_runner", - # "psfex_interp_runner"], ], "shdus", n_mult=[2, 2, 1, 1, 2], @@ -228,19 +226,21 @@ def set_jobs_v2_pre_v2(patch, verbose): jobs["256"] = job_data( "256", - ["run_sp_Ms"], - ["merge_sep_cats_runner"], + "run_sp_Ms", + ["merge_sep_cats_runner"] * 2, "tile_IDs", path_main=path_main, path_left="tile_runs", + path_output=["output", "logs"], + special=[False, True], output_subdirs=[f"{tile_ID}/output" for tile_ID in list_tile_IDs_dot], verbose=verbose, ) jobs["512"] = job_data( "512", - ["run_sp_Mc"], - ["make_cat_runner"], + "run_sp_Mc", + "make_cat_runner", "tile_IDs", path_main=path_main, path_left="tile_runs", diff --git a/shapepipe/utilities/summary.py b/shapepipe/utilities/summary.py index 4082ed282..4f69f4dc5 100755 --- a/shapepipe/utilities/summary.py +++ b/shapepipe/utilities/summary.py @@ -220,6 +220,13 @@ def check_special_one(module, path): ngmix_finished = True break + if module == "merge_sep_cats_runner": + m = re.search("Input catalogue", line) + if m: + code = 7 + msg = "One or more ngmix catalogues not found for merge" + return msg, code + if module == "ngmix_runner" and not ngmix_finished: code = 6 mgs = "ngmix incomplete" From e54cf81dda1a35a1afff8c3badefd7232b187c33 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Fri, 31 Jan 2025 16:41:17 +0000 Subject: [PATCH 204/217] quick-and-dirty script to count SHDUs used in tile --- scripts/python/check_nobj_ngmix_mc,py | 72 --------------------------- scripts/python/count_shdu_special.py | 57 +++++++++++++++++++++ 2 files changed, 57 insertions(+), 72 deletions(-) delete mode 100644 scripts/python/check_nobj_ngmix_mc,py create mode 100755 scripts/python/count_shdu_special.py diff --git a/scripts/python/check_nobj_ngmix_mc,py b/scripts/python/check_nobj_ngmix_mc,py deleted file mode 100644 index 9596d326c..000000000 --- a/scripts/python/check_nobj_ngmix_mc,py +++ /dev/null @@ -1,72 +0,0 @@ -#!/usr/bin/env python - -import os -import glob -from astropy.io import fits - -# Base directory for the tile runs -tile_runs_dir = "tile_runs" - -def get_naxis2_value(file_path): - """Get the NAXIS2 value from HDU #1 of a FITS file.""" - with fits.open(file_path) as hdul: - try: - return hdul[1].header.get('NAXIS2', None) - except: - raise IndexError(f"problem with {file_path} header") - -# Iterate through directories -for ID in os.listdir(tile_runs_dir): - id_path = os.path.join(tile_runs_dir, ID, "output") - - # Check if ID has the correct format - if not os.path.isdir(id_path) or not ID.replace('.', '', 1).isdigit(): - continue - - IDx = ID.replace('.', '-') - - # Define file paths - ngmix_file_pattern = os.path.join( - id_path, - f"run_sp_Ms_202*/merge_sep_cats_runner/output/ngmix-{IDx}.fits", - ) - mc_file_pattern = os.path.join( - id_path, - f"run_sp_Mc_202*/make_cat_runner/output/final_cat-{IDx}.fits", - ) - - # Resolve file names using glob to handle wildcard - ngmix_files = [f for f in glob.glob(ngmix_file_pattern)] - mc_files = [f for f in glob.glob(mc_file_pattern)] - - if not ngmix_files: - print(f"{ID} -- ngmix cat {ngmix_file} not found") - continue - if not mc_files: - print(f"{ID} -- mc cats not found") - continue - - ngmix_file = ngmix_files[-1] # Use the last match if multiple exist - mc_file = mc_files[-1] # Use the last match if multiple exist - - # Get NAXIS2 values - ngmix_naxis2 = get_naxis2_value(ngmix_file) - mc_naxis2 = get_naxis2_value(mc_file) - - if ngmix_naxis2 is None: - print(f"{ID} -- no NAXIS2 keyword found in ngmix cat {ngmix_file}") - continue - if mc_naxis2 is None: - print(f"{ID} -- no NAXIS2 keyword found in mc cat") - continue - - # Compare values and output ID if they differ - if ngmix_naxis2 != mc_naxis2: - ratio = float(ngmix_naxis2) / float(mc_naxis2) - if ratio < 0.5: - print(f"{ID} -- NAXIS2 differ {ngmix_naxis2} / {mc_naxis2} = {ratio:.3f}") - else: - print(f"{ID} -- similar NAXIS2, {ngmix_naxis2} / {mc_naxis2} = {ratio:.3f}") - else: - print(f"{ID} -- identcal NAXIS2 {ngmix_naxis2} {mc_naxis2}") - diff --git a/scripts/python/count_shdu_special.py b/scripts/python/count_shdu_special.py new file mode 100755 index 000000000..dfe9f7d17 --- /dev/null +++ b/scripts/python/count_shdu_special.py @@ -0,0 +1,57 @@ +#!/usr/bin/env python + +import os +import re +import sys + +ID = sys.argv[1] +print(f"Checking tile ID {ID}...") + +# Base directory for the tile runs +tile_runs_dir = "tile_runs" + +sum_dir = "summary" +specials = ["special_job_32_setools_runner_0", "special_job_32_setools_runner_1"] + + +shdu_IDs = [] +print("Going through links...") +#3for ID in os.listdir(tile_runs_dir): +if True: + id_path = os.path.join(tile_runs_dir, ID, "output") + + for filename in os.listdir(id_path): + if ( + filename.startswith("run_sp_exp_SxSePsf") + and os.path.islink(os.path.join(id_path, filename)) + ): + symlink_path = os.path.join(id_path, filename) + target_path = os.readlink(symlink_path) + + pattern = r"/exp_runs/([^/]+)/output/" + + match = re.search(pattern, target_path) + if match: + shdu_IDs.append(match.group(1)) + else: + print(f"{filename} -> No match in target path: {target_path}") + +if len(shdu_IDs) == 0: + print("No shdus found, exiting") + sys.exit(1) +else: + print(f"Found {len(shdu_IDs)} links in dir {id_path}") + + +print("Going through special files...") +count = 0 +for special in specials: + print(f"special {special}...") + path = f"{sum_dir}/{special}.txt" + with open(path, "r") as f: + content = f.read() + for shdu_ID in shdu_IDs: + if re.search(shdu_ID, content): + count += 1 + +print(f"Found {count} / {len(shdu_IDs)} = {count / len(shdu_IDs):.2%}") From d851070a9ea9e9a23b52af1b16a105399ddac80d Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Sat, 1 Feb 2025 19:50:36 +0000 Subject: [PATCH 205/217] Checks of make_cat input cats sizes, not working --- shapepipe/modules/make_cat_package/make_cat.py | 13 ++++++++++--- shapepipe/modules/make_cat_runner.py | 3 ++- 2 files changed, 12 insertions(+), 4 deletions(-) diff --git a/shapepipe/modules/make_cat_package/make_cat.py b/shapepipe/modules/make_cat_package/make_cat.py index f2311705e..e1d0a3355 100644 --- a/shapepipe/modules/make_cat_package/make_cat.py +++ b/shapepipe/modules/make_cat_package/make_cat.py @@ -320,6 +320,11 @@ def _save_ngmix_data(self, ngmix_cat_path, moments=False): ngmix_cat_path : str Path to NGMIX catalogue + Returns + ------- + str + error or waning message + """ self._key_ends = ["1M", "1P", "2M", "2P", "NOSHEAR"] @@ -328,13 +333,15 @@ def _save_ngmix_data(self, ngmix_cat_path, moments=False): ngmix_n_epoch = ngmix_cat_file.get_data()["n_epoch_model"] if len(ngmix_n_epoch) / self._cat_size_target < 0.5: - ngmix_cat_file.close() + #ngmix_cat_file.close() err_msg = ( f"Merged shape catalogue {ngmix_cat_path} has very different size" + f" ({len(ngmix_n_epoch)}) than target size" + f" {self._cat_size_target})" ) - return err_msg + #return err_msg + else: + err_msg = None ngmix_mom_fail = ngmix_cat_file.get_data()["moments_fail"] @@ -450,7 +457,7 @@ def _save_ngmix_data(self, ngmix_cat_path, moments=False): ngmix_cat_file.close() - return None + return err_msg def _save_galsim_shapes(self, galsim_cat_path): """Save GalSim Shapes. diff --git a/shapepipe/modules/make_cat_runner.py b/shapepipe/modules/make_cat_runner.py index 43ab6fcf7..a40012eb3 100644 --- a/shapepipe/modules/make_cat_runner.py +++ b/shapepipe/modules/make_cat_runner.py @@ -119,7 +119,8 @@ def make_cat_runner( # If error message: delete (incomplete) output file and raise error - if err_msg is not None: + #if err_msg is not None: + if False: os.remove( make_cat.get_output_name( run_dirs["output"], From dc64d2f34ff0caac92c4971a91a1624848de51d7 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Sat, 1 Feb 2025 19:51:32 +0000 Subject: [PATCH 206/217] create final cat script added verbose --- scripts/python/create_final_cat.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/scripts/python/create_final_cat.py b/scripts/python/create_final_cat.py index e6c427d80..a0b10e8c9 100755 --- a/scripts/python/create_final_cat.py +++ b/scripts/python/create_final_cat.py @@ -351,6 +351,7 @@ def process(params): id_pattern = re.compile(r"^\d+\.\d+$") n_added = 0 + IDs_added = [] # Open the HDF5 file (create it if it doesn't exist) if params["verbose"]: @@ -422,9 +423,10 @@ def process(params): raise n_added += 1 + IDs_added.append(id) if params["verbose"]: - print(f"{n_added} tiles added") + print(f"{n_added} tiles added ({' '.join(IDs_added)})") def single_action(params): From 5b42d8a6afeb28aa19e626d8c3068079aa05f8bc Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Sat, 8 Feb 2025 18:46:32 +0000 Subject: [PATCH 207/217] cleaned up make cat runner --- .../modules/make_cat_package/make_cat.py | 125 +++++------------- shapepipe/modules/make_cat_runner.py | 39 +----- 2 files changed, 39 insertions(+), 125 deletions(-) diff --git a/shapepipe/modules/make_cat_package/make_cat.py b/shapepipe/modules/make_cat_package/make_cat.py index e1d0a3355..91a968369 100644 --- a/shapepipe/modules/make_cat_package/make_cat.py +++ b/shapepipe/modules/make_cat_package/make_cat.py @@ -2,7 +2,7 @@ This module contains a class to create a shear catalogue. -:Authors: Axel Guinot, Martin Kilbinger +:Author: Axel Guinot """ @@ -19,27 +19,6 @@ from shapepipe.utilities import galaxy -def get_output_name(output_dir, file_number_string): - """Get Output Name. - - Return output file name. - - Parameters - ---------- - output_dir : str - directory name - file_number_string : str - ShapePipe pipeline number string - - Returns - ------- - str - output path name - - """ - return f"{output_dir}/final_cat{file_number_string}.fits" - - def prepare_final_cat_file(output_path, file_number_string): """Prepare Final Catalogue File. @@ -58,8 +37,7 @@ def prepare_final_cat_file(output_path, file_number_string): Output FITS file """ - - output_name = get_output_name(output_path, file_number_string) + output_name = f"{output_path}/final_cat{file_number_string}.fits" return file_io.FITSCatalogue( output_name, @@ -106,11 +84,6 @@ def save_sextractor_data(final_cat_file, sexcat_path, remove_vignet=True): remove_vignet : bool If ``True`` will not save the ``VIGNET`` field into the final catalogue - Returns - ------- - int - Number of objects saved - """ sexcat_file = file_io.FITSCatalogue(sexcat_path, SEx_catalogue=True) sexcat_file.open() @@ -136,8 +109,6 @@ def save_sextractor_data(final_cat_file, sexcat_path, remove_vignet=True): sexcat_file.close() - return cat_size - def save_sm_data( final_cat_file, @@ -167,10 +138,6 @@ def save_sm_data( Threshold for galaxy selection; object is classified as galaxy if :math:`{\rm class} >` ``gal_thresh`` - Returns - ------- - int - Number of objects saved """ final_cat_file.open() @@ -179,7 +146,6 @@ def save_sm_data( sm = np.copy(sexcat_sm_file.get_data()["SPREAD_MODEL"]) sm_err = np.copy(sexcat_sm_file.get_data()["SPREADERR_MODEL"]) - cat_size = len(sm) sexcat_sm_file.close() @@ -196,8 +162,6 @@ def save_sm_data( final_cat_file.close() - return cat_size - class SaveCatalogue: """Save Catalogue. @@ -208,15 +172,13 @@ class SaveCatalogue: ---------- final_cat_file : str Final catalogue file name - cat_size_target : int - target catalogue size """ - def __init__(self, final_cat_file, cat_size_target): + def __init__(self, final_cat_file, w_log): - self._final_cat_file = final_cat_file - self._cat_size_target = cat_size_target + self.final_cat_file = final_cat_file + self._w_log = w_log def process( self, @@ -235,39 +197,29 @@ def process( moments : bool Option to run ``ngmix`` mode with moments - Returns - -------- - str - error message if failure; `None` if success - """ self._output_dict = {} - self._final_cat_file.open() - self._obj_id = np.copy(self._final_cat_file.get_data()["NUMBER"]) + self.final_cat_file.open() + self._obj_id = np.copy(self.final_cat_file.get_data()["NUMBER"]) - err_msg = None if mode == "ngmix": - err_msg = self._save_ngmix_data(cat_path, moments) + self._save_ngmix_data(cat_path, moments) elif mode == "galsim": self._save_galsim_shapes(cat_path) elif mode == "psf": self._save_psf_data(cat_path) else: - err_msg = ( + raise ValueError( f"Invalid process mode ({mode}) for " + '``make_cat.Savecatalogue``. Options are "ngmix", ' + '"galsim" or "psf".' ) - if err_msg is None: - - for key in self._output_dict.keys(): - self._final_cat_file.add_col(key, self._output_dict[key]) + for key in self._output_dict.keys(): + self.final_cat_file.add_col(key, self._output_dict[key]) - self._final_cat_file.close() - - return err_msg + self.final_cat_file.close() def _update_dict(self, key_string, value): """Update Dictionary. @@ -320,11 +272,6 @@ def _save_ngmix_data(self, ngmix_cat_path, moments=False): ngmix_cat_path : str Path to NGMIX catalogue - Returns - ------- - str - error or waning message - """ self._key_ends = ["1M", "1P", "2M", "2P", "NOSHEAR"] @@ -332,19 +279,10 @@ def _save_ngmix_data(self, ngmix_cat_path, moments=False): ngmix_cat_file.open() ngmix_n_epoch = ngmix_cat_file.get_data()["n_epoch_model"] - if len(ngmix_n_epoch) / self._cat_size_target < 0.5: - #ngmix_cat_file.close() - err_msg = ( - f"Merged shape catalogue {ngmix_cat_path} has very different size" - + f" ({len(ngmix_n_epoch)}) than target size" - + f" {self._cat_size_target})" - ) - #return err_msg - else: - err_msg = None - ngmix_mom_fail = ngmix_cat_file.get_data()["moments_fail"] + n_obj = len(self._obj_id) + self._w_log.info(f"writing ngmix info for {n_obj} objects") if moments: m = "m" else: @@ -353,8 +291,8 @@ def _save_ngmix_data(self, ngmix_cat_path, moments=False): ngmix_mcal_flags = ngmix_cat_file.get_data()["mcal_flags"] ngmix_id = ngmix_cat_file.get_data()["id"] - self._add2dict("NGMIX_N_EPOCH", np.zeros(len(self._obj_id))) - self._add2dict("NGMIX_MOM_FAIL", np.zeros(len(self._obj_id))) + self._add2dict("NGMIX_N_EPOCH", np.zeros(n_obj)) + self._add2dict("NGMIX_MOM_FAIL", np.zeros(n_obj)) prefix = f"NGMIX{m}" @@ -367,26 +305,27 @@ def _save_ngmix_data(self, ngmix_cat_path, moments=False): f"{prefix}_FLAGS_", f"{prefix}_T_PSFo_", ): - self._update_dict(key_str, np.zeros(len(self._obj_id))) + self._update_dict(key_str, np.zeros(n_obj)) for key_str in (f"NGMIX{m}_FLUX_ERR_", f"NGMIX{m}_MAG_ERR_"): - self._update_dict(key_str, np.ones(len(self._obj_id)) * -1) + self._update_dict(key_str, np.ones(n_obj) * -1) for key_str in ( f"NGMIX{m}_ELL_", f"NGMIX{m}_ELL_ERR_", f"NGMIX{m}_ELL_PSFo_", ): - self._update_dict(key_str, np.ones((len(self._obj_id), 2)) * -10.0) + self._update_dict(key_str, np.ones((n_obj, 2)) * -10.0) self._update_dict( f"NGMIX{m}_T_ERR_", - np.ones(len(self._obj_id)) * 1e30, + np.ones(n_obj) * 1e30, ) - self._add2dict(f"NGMIX{m}_MCAL_FLAGS", np.zeros(len(self._obj_id))) + self._add2dict(f"NGMIX{m}_MCAL_FLAGS", np.zeros(n_obj)) for idx, _ in enumerate(self._obj_id): for key in self._key_ends: x = self._output_dict[f"NGMIX{m}_ELL_{key}"][idx] if np.all(x != np.array([-10.0, -10.0])): - print(x) + #print(x) + pass for idx, id_tmp in enumerate(self._obj_id): ind = np.where(id_tmp == ngmix_id)[0] @@ -457,8 +396,6 @@ def _save_ngmix_data(self, ngmix_cat_path, moments=False): ngmix_cat_file.close() - return err_msg - def _save_galsim_shapes(self, galsim_cat_path): """Save GalSim Shapes. @@ -476,6 +413,7 @@ def _save_galsim_shapes(self, galsim_cat_path): self._key_ends = galsim_cat_file.get_ext_name()[1:] galsim_id = galsim_cat_file.get_data()["id"] + n_obj = len(self._obj_id) for key_str in ( "GALSIM_GAL_SIGMA_", @@ -483,7 +421,7 @@ def _save_galsim_shapes(self, galsim_cat_path): "GALSIM_FLUX_", "GALSIM_MAG_", ): - self._update_dict(key_str, np.zeros(len(self._obj_id))) + self._update_dict(key_str, np.zeros(n_obj)) for key_str in ("GALSIM_FLUX_ERR_", "GALSIM_MAG_ERR_", "GALSIM_RES_"): self._update_dict(key_str, np.ones(len(self._obj_id)) * -1) for key_str in ( @@ -492,10 +430,10 @@ def _save_galsim_shapes(self, galsim_cat_path): "GALSIM_GAL_ELL_UNCORR_", "GALSIM_PSF_ELL_", ): - self._update_dict(key_str, np.ones((len(self._obj_id), 2)) * -10.0) + self._update_dict(key_str, np.ones((n_obj, 2)) * -10.0) self._update_dict( "GALSIM_FLAGS_", - np.ones(len(self._obj_id), dtype="int16"), + np.ones(n_obj, dtype="int16"), ) for idx, id_tmp in enumerate(self._obj_id): @@ -585,23 +523,24 @@ def _save_psf_data(self, galaxy_psf_path): """ galaxy_psf_cat = SqliteDict(galaxy_psf_path) - max_epoch = np.max(self._final_cat_file.get_data()["N_EPOCH"]) + 1 + max_epoch = np.max(self.final_cat_file.get_data()["N_EPOCH"]) + 1 + n_obj = len(self._obj_id) self._output_dict = { - f"PSF_ELL_{idx + 1}": np.ones((len(self._obj_id), 2)) * -10.0 + f"PSF_ELL_{idx + 1}": np.ones((n_obj, 2)) * -10.0 for idx in range(max_epoch) } self._output_dict = { **self._output_dict, **{ - f"PSF_FWHM_{idx + 1}": np.zeros(len(self._obj_id)) + f"PSF_FWHM_{idx + 1}": np.zeros(n_obj) for idx in range(max_epoch) }, } self._output_dict = { **self._output_dict, **{ - f"PSF_FLAG_{idx + 1}": np.ones(len(self._obj_id), dtype="int16") + f"PSF_FLAG_{idx + 1}": np.ones(n_obj, dtype="int16") for idx in range(max_epoch) }, } diff --git a/shapepipe/modules/make_cat_runner.py b/shapepipe/modules/make_cat_runner.py index a40012eb3..82a20c83b 100644 --- a/shapepipe/modules/make_cat_runner.py +++ b/shapepipe/modules/make_cat_runner.py @@ -2,12 +2,10 @@ Module runner for ``make_cat``. -:Authors: Axel Guinot, Martin Kilbinger +:Author: Axel Guinot """ -import os - from shapepipe.modules.make_cat_package import make_cat from shapepipe.modules.module_decorator import module_runner @@ -85,14 +83,11 @@ def make_cat_runner( # Save SExtractor data w_log.info("Save SExtractor data") - cat_size_sextractor = make_cat.save_sextractor_data( - final_cat_file, - tile_sexcat_path - ) + make_cat.save_sextractor_data(final_cat_file, tile_sexcat_path) # Save spread-model data w_log.info("Save spread-model data") - cat_size_sm = make_cat.save_sm_data( + make_cat.save_sm_data( final_cat_file, sexcat_sm_path, do_classif, @@ -100,37 +95,17 @@ def make_cat_runner( gal_thresh, ) - if cat_size_sextractor != cat_size_sm: - raise ValueError( - f"SExtractor catalogue {tile_sexcat_path} has different size" - + f" ({cat_size_sextractor} than spread_model catalogue" - + f" {sexcat_sm_path} ({cat_size_sm})" - ) - # Save shape data - sc_inst = make_cat.SaveCatalogue(final_cat_file, cat_size_sextractor) + sc_inst = make_cat.SaveCatalogue(final_cat_file, w_log) w_log.info("Save shape measurement data") for shape_type in shape_type_list: w_log.info(f"Save {shape_type.lower()} data") cat_path = ( shape2_cat_path if shape_type == "galsim" else shape1_cat_path ) - err_msg = sc_inst.process(shape_type.lower(), cat_path) - - - # If error message: delete (incomplete) output file and raise error - #if err_msg is not None: - if False: - os.remove( - make_cat.get_output_name( - run_dirs["output"], - file_number_string, - ) - ) - #raise ValueError(err_msg) - w_log.info(f"Warning: {err_msg}") - + sc_inst.process(shape_type.lower(), cat_path) if save_psf: - err_msg = sc_inst.process("psf", galaxy_psf_path) + sc_inst.process("psf", galaxy_psf_path) + # No return objects return None, None From 7b47ac8c755a452d2f5c7606d1daa7545f4f1635 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Tue, 11 Feb 2025 20:22:52 +0100 Subject: [PATCH 208/217] hashbang path fixed --- scripts/python/shapepipe_run.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/scripts/python/shapepipe_run.py b/scripts/python/shapepipe_run.py index a60f1eaed..3cc3893d6 100755 --- a/scripts/python/shapepipe_run.py +++ b/scripts/python/shapepipe_run.py @@ -1,4 +1,4 @@ -#!/arc/home/kilbinger/.conda/envs/shapepipe/bin/python +#!/usr/bin/env python3 """SHAPEPIPE RUN SCRIPT From 138c03cc091606f569e6aaf2c0e73471453f119d Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Wed, 12 Feb 2025 08:18:19 +0100 Subject: [PATCH 209/217] added (back) files to run make cat with sm=0 --- example/cfis/config_make_cat_psfex_nosm.ini | 76 ++++++++++++ scripts/sh/curl_canfar_local.sh | 52 ++++---- scripts/sh/functions.sh | 23 ++-- scripts/sh/init_run_exclusive_canfar.sh | 111 +++++++----------- scripts/sh/job_sp_canfar.bash | 39 +++--- .../modules/make_cat_package/make_cat.py | 67 ++++++----- shapepipe/modules/make_cat_runner.py | 37 ++++-- 7 files changed, 244 insertions(+), 161 deletions(-) create mode 100644 example/cfis/config_make_cat_psfex_nosm.ini diff --git a/example/cfis/config_make_cat_psfex_nosm.ini b/example/cfis/config_make_cat_psfex_nosm.ini new file mode 100644 index 000000000..1983f91c7 --- /dev/null +++ b/example/cfis/config_make_cat_psfex_nosm.ini @@ -0,0 +1,76 @@ +# ShapePipe post-run configuration file: create final catalogs, with +# no spread model on input + + +## Default ShapePipe options +[DEFAULT] + +# verbose mode (optional), default: True, print messages on terminal +VERBOSE = True + +# Name of run (optional) default: shapepipe_run +RUN_NAME = run_sp_Mc + +# Add date and time to RUN_NAME, optional, default: True +; RUN_DATETIME = False + + +## ShapePipe execution options +[EXECUTION] + +# Module name, single string or comma-separated list of valid module runner names +MODULE = make_cat_runner + +# Parallel processing mode, SMP or MPI +MODE = SMP + + +## ShapePipe file handling options +[FILE] + +# Log file master name, optional, default: shapepipe +LOG_NAME = log_sp + +# Runner log file name, optional, default: shapepipe_runs +RUN_LOG_NAME = log_run_sp + +# Input directory, containing input files, single string or list of names with length matching FILE_PATTERN +INPUT_DIR = . + +# Output directory +OUTPUT_DIR = ./output + + +## ShapePipe job handling options +[JOB] + +# Batch size of parallel processing (optional), default is 1, i.e. run all jobs in serial +SMP_BATCH_SIZE = 8 + +# Timeout value (optional), default is None, i.e. no timeout limit applied +TIMEOUT = 96:00:00 + + +## Module options + +[MAKE_CAT_RUNNER] + +# Input directory, containing input files, single string or list of names with length matching FILE_PATTERN +INPUT_DIR = run_sp_tile_Sx:sextractor_runner, last:psfex_interp_runner, last:merge_sep_cats_runner + +# Input file pattern(s), list of strings with length matching number of expected input file types +# Cannot contain wild cards +FILE_PATTERN = sexcat, galaxy_psf, ngmix + +# FILE_EXT (optional) list of string extensions to identify input files +FILE_EXT = .fits, .sqlite, .fits + +# Numbering convention, string that exemplifies a numbering pattern. +# Matches input single exposures (with 'p' removed) +# Needs to be given in this section, will be updated in module +# sections below +NUMBERING_SCHEME = -000-000 + +SM_DO_CLASSIFICATION = False + +SHAPE_MEASUREMENT_TYPE = ngmix diff --git a/scripts/sh/curl_canfar_local.sh b/scripts/sh/curl_canfar_local.sh index d712fb8be..9722eddb5 100755 --- a/scripts/sh/curl_canfar_local.sh +++ b/scripts/sh/curl_canfar_local.sh @@ -19,7 +19,6 @@ N_SMP=1 fix=0 version="1.1" cmd_remote="$HOME/shapepipe/scripts/sh/init_run_exclusive_canfar.sh" -batch=30 batch_max=200 dry_run=0 mh_local=0 @@ -27,8 +26,7 @@ sp_local=0 test_only=0 debug_out="-1" scratch="-1" - -script_version=1.1 +sm=1 pat="- " @@ -47,18 +45,18 @@ usage="Usage: $(basename "$0") -j JOB -[e ID |-f file_IDs] -k KIND [OPTIONS] \tmerged header file local (MH=0) or global (MH=1); default is $mh_local\n -s, --sp_local SP\n \tsplit local run local (SP=1) or global (SP=0); default is SP=$sp_local\n + --sm SM\n + \tWith (SM=1; default) or without (SM=0) spread model input\n -N, --N_SMP N_SMOp\n \tnumber of jobs (SMP mode only), default=$N_SMP\n -F, --fix FIX\n - \tfix missing data (re-download tile, unzip) for FIX=1; default is $fix\n + \tfix missing data (re-download tile, unzip) for FIX=1; default is $fix\ -V, --version\n \tversion of docker image, default='$version'\n -C, --command_remote\n \tremote command to run on canfar, default='$cmd_remote'\n -S, --scratch\n \tprocessing scratch directory, default is None ($scratch)\n - -B, --batch\n - \tbatch size = size of subsamples if number of jobs > batch_max\n -b, --batch_max\n \tmaximum batch size = number of jobs run simultaneously, default=$batch_max\n --debug_out PATH\n @@ -98,6 +96,10 @@ while [ $# -gt 0 ]; do sp_local="$2" shift ;; + --sm) + sm="$2" + shift + ;; -e|--exclusive) ID="$2" shift @@ -118,14 +120,6 @@ while [ $# -gt 0 ]; do scratch="$2" shift ;; - -V|--version) - version="$2" - shift - ;; - -B|--batch) - batch="$2" - shift - ;; -b|--batch_max) batch_max="$2" shift @@ -175,16 +169,15 @@ if [ "$dry_run" != 0 ] && [ "$dry_run" != 1 ] && [ "$dry_run" != 2 ]; then fi if [ "$debug_out" != "-1" ]; then - echo "${pat}Starting $(basename "$0") $test_arg" >> $debug_out + echo "${pat}Starting $(basename "$0")" >> $debug_out echo "${pat}curl ID=$ID" >> $debug_out echo ${pat}`date` >> $debug_out fi -#. /opt/conda/etc/profile.d/conda.sh -source activate shapepipe +. /opt/conda/etc/profile.d/conda.sh +conda activate shapepipe if [ "$debug_out" != "-1" ]; then echo "${pat}conda prefix = ${CONDA_PREFIX}" >> $debug_out - echo "${pat}script version = ${script_version}" >> $debug_out fi # command line arguments for remote script: @@ -201,10 +194,11 @@ function submit_batch() { for ID in `cat $path`; do IDt=`echo $ID | tr "." "-"` my_name="SP-${patch}-J${job}-${IDt}" - call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $debug_out $fix $scratch $test_arg + call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $sm $debug_out $fix $scratch $test_arg done } +batch=50 if [ "$batch" -ge "$batch_max" ]; then ((batch=batch_max/2)) echo "Reducing batch size to $batch" @@ -226,7 +220,7 @@ if [ "$dry_run" == 2 ]; then for ID in `cat $file_IDs`; do IDt=`echo $ID | tr "." "-"` my_name="SP-${patch}-J${job}-${IDt}" - call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $debug_out $fix $scratch $test_arg + call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $sm $debug_out $fix $scratch $test_arg done else @@ -234,7 +228,7 @@ if [ "$dry_run" == 2 ]; then # Submit image (dry run = 2) IDt=`echo $ID | tr "." "-"` my_name="SP-${patch}-J${job}-${IDt}" - call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $debug_out $fix $scratch $test_arg + call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $sm $debug_out $fix $scratch $test_arg fi @@ -256,20 +250,20 @@ else echo "Split '$file_IDs' into $n_split batches of size $batch" count=1 - n_running=`stats_jobs_canfar.sh` + n_queued=`stats_jobs_canfar.sh -w all` for batch in $prefix*; do - echo "Number of running jobs = $n_running" + echo "Number of queued jobs = $n_queued" echo "Submitting batch $batch ($count/$n_split)" echo -ne "\033]0;curl patch=$patch job=$job $count/$n_split\007" submit_batch $batch ((count=count+1)) - n_running=`stats_jobs_canfar.sh` + n_queued=`stats_jobs_canfar.sh -w all` - while [ "$n_running" -gt "$n_thresh" ]; do - echo "Wait for #jobs = $n_running jobs to go < $n_thresh ..." + while [ "$n_queued" -gt "$n_thresh" ]; do + echo "Wait for #jobs = $n_queued jobs to go < $n_thresh ..." sleep $sleep - n_running=`stats_jobs_canfar.sh` + n_queued=`stats_jobs_canfar.sh -w all` done done @@ -287,7 +281,7 @@ else # Submit image IDt=`echo $ID | tr "." "-"` my_name="SP-${patch}-J${job}-${IDt}" - call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $debug_out $fix $scratch $test_arg + call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $sm $debug_out $fix $scratch $test_arg fi @@ -296,5 +290,5 @@ fi echo "Done $(basename "$0")" if [ "$debug_out" != "-1" ]; then - echo "${pat}End $(basename "$0")" $test_arg >> $debug_out + echo "${pat}End $(basename "$0")" >> $debug_out fi diff --git a/scripts/sh/functions.sh b/scripts/sh/functions.sh index e06df3ccc..324864f26 100644 --- a/scripts/sh/functions.sh +++ b/scripts/sh/functions.sh @@ -1,4 +1,4 @@ - # Global variables +# Global variables SSL=~/.ssl/cadcproxy.pem SESSION=https://ws-uv.canfar.net/skaha/v0/session IMAGE=images.canfar.net/unions/shapepipe @@ -26,16 +26,16 @@ function call_curl() { my_dir=$7 my_mh_local=$8 my_sp_local=$9 - my_debug_out=${10} - my_fix=${11} - my_scratch=${12} - my_test_arg=${13} + my_sm=${10} + my_debug_out=${11} + my_fix=${12} + my_scratch=${13} + my_test_arg=${14} - my_arg="-j $my_job -p $my_psf -e $my_ID -N $my_N_SMP -n $my_dry_run -d $my_dir -m $my_mh_local -s $my_sp_local --debug_out $my_debug_out -F $my_fix -S $my_scratch $my_test_arg" + my_arg="-j $my_job -p $my_psf -e $my_ID -N $my_N_SMP -n $my_dry_run -d $my_dir -m $my_mh_local -s $my_sp_local --sm $my_sm --debug_out $my_debug_out -F $my_fix -S $my_scratch $my_test_arg" if [ "$my_dry_run" == "0" ]; then - - my_session=`curl -E $SSL "$SESSION?$RESOURCES" -d "image=$IMAGE:$version" -d "name=${my_name}" -d "cmd=$cmd_remote" --data-urlencode "args=${my_arg[@]}"` + my_session=`curl -E $SSL "$SESSION?$RESOURCES" -d "image=$IMAGE:$version" -d "name=${my_name}" -d "cmd=$cmd_remote" --data-urlencode "args=${my_arg[@]}" &> /dev/null` fi cmd=("curl" "-E" "$SSL" "$SESSION?$RESOURCES" "-d" "image=$IMAGE:$version" "-d" "name=${my_name}" "-d" "cmd=$cmd_remote" "--data-urlencode" "args=\"${my_arg}\"") @@ -44,7 +44,7 @@ function call_curl() { echo "${pat}call_curl $my_name $my_arg" >> $my_debug_out echo "${pat}Running ${cmd[@]} (dry_run=$my_dry_run)" >> $my_debug_out fi - echo "${cmd[@]} (dry_run=$my_dry_run)" + #echo "${cmd[@]} (dry_run=$my_dry_run)" # Running $cmd does not work due to unknown problems with passing of args @@ -79,7 +79,7 @@ function command () { res=$? if [ "$debug_out" != "-1" ]; then - echo "${pat}exit code = $res" >> $debug_out + echo "${pat}result=$res" >> $debug_out fi if [ $VERBOSE == 1 ]; then @@ -89,6 +89,9 @@ function command () { echo -e "${RED}error, return value = $res${NC}" if [ $STOP == 1 ]; then echo "${RED}exiting $(basename "$0")', error in command '$cmd'${NC}" + if [ "$debug_out" != "-1" ]; then + echo "${pat}${RED}exiting $(basename "$0")', error in command '$cmd'${NC}" >> $debug_out + fi exit $res else echo "${RED}continuing '$(basename "$0")', error in command '$cmd'${NC}" diff --git a/scripts/sh/init_run_exclusive_canfar.sh b/scripts/sh/init_run_exclusive_canfar.sh index ccd02a1df..815dc5851 100755 --- a/scripts/sh/init_run_exclusive_canfar.sh +++ b/scripts/sh/init_run_exclusive_canfar.sh @@ -13,6 +13,7 @@ debug_out=-1 scratch=-1 fix=0 test_only=0 +sm=1 # mh_local is 0 (1) if merge_header_runner is run on all exposures, # which is standard so far (run on exposures of given tile only; new) @@ -39,6 +40,8 @@ usage="Usage: $(basename "$0") -j JOB -e ID -k KIND [OPTIONS] \tmerge header file local (MH=1) or global (MH=0); default is $mh_local\n -s, --sp_local SP\n \tsplit local run local (SP=1) or global (SP=r0wwdefault is $sp_local\n + --sm SM\n + \tWith (SM=1; default) or without (SM=0) spread model input\n -N, --N_SMP N_SMOp\n \tnumber of jobs (SMP mode only), default from original config files\n -d, --directory\n @@ -88,6 +91,10 @@ while [ $# -gt 0 ]; do sp_local="$2" shift ;; + --sm) + sm="$2" + shift + ;; -N|--N_SMP) N_SMP="$2" shift @@ -139,6 +146,7 @@ function message() { # Init message +message "test=$test_only" $debug_out -1 if [ "$test_only" == "1" ]; then msg="init_run_exclusive.py script test mode, exiting." ex=0 @@ -202,19 +210,10 @@ else message "not running in dry run mode" $debug_out -1 fi -source activate shapepipe -if [ "$debug_out" != "-1" ]; then - echo "${pat}conda prefix = ${CONDA_PREFIX}" >> $debug_out -fi - CONDA_PREFIX=$HOME/.conda/envs/shapepipe PATH=$PATH:$CONDA_PREFIX/bin -message "conda prefix = ${CONDA_PREFIX}" $debug_out -1 -message "HOME = ${HOME}" $debug_out -1 -message "path = ${PATH}" $debug_out -1 cd $dir -message "pwd=$pwd" $debug_out -1 if [ ! -d ${kind}_runs ]; then command "mkdir ${kind}_runs" $dry_run @@ -358,7 +357,7 @@ if [ $do_job != 0 ] && [ "$sp_local" == "1" ]; then # run local Sp if not done already; works only with mh_local=1; this step needs to be done # before following mh_local=1 steps message "run local sp" $debug_out -1 - command "rm -rf run_sp_GitFeGie*/get_images_runner_run_2" $dry_run + #command "rm -rf run_sp_GitFeGie*/get_images_runner_run_2" $dry_run command "rm -rf run_sp_Gie*" $dry_run command "rm -rf run_sp_exp_Sp*" $dry_run @@ -411,10 +410,6 @@ if [ $do_job != 0 ] && [ "$sp_local" == "1" ]; then fi if [ "$kind" == "tile" ] && [ "$sp_local" == "1" ]; then - # Link to exposure outputs (runs 2 and 32) - - # Remove previous split exp dir -rm -r run_sp_exp_Sp_shdu cd ../../.. command "link_to_exp_for_tile.py -t $ID -i tile_runs -I exp_runs -s $sp_local" $dry_run cd tile_runs/$ID @@ -439,6 +434,7 @@ else message "ID needs to be given (option -e) for mh_local" $debug_out 6 fi + # Check and remove symbolic (global) mh file link if [ -L log_exp_headers.sqlite ]; then # Local Mh and symlink -> remove previous link to # (potentially incomplete) global mh file @@ -448,6 +444,17 @@ else message "no mh link found" $debug_out -1 fi + # Check size of existing header file + if [ -e log_exp_headers.sqlite ]; then + size=$(stat -c %s log_exp_headers.sqlite) + if (( size > 15000 )); then + message "Found valid local mh file, continuing" $debug_out -1 + else + message "Existing local mh file looks invalid, deleting" $debug_out -1 + rm -f log_exp_headers.sqlite + fi + fi + if [ ! -e log_exp_headers.sqlite ]; then message "Creating local mh file" $debug_out -1 @@ -478,58 +485,23 @@ fi # Update links to exposure run directories, which were created in job 32 (( do_job = $job & 64 )) if [[ $do_job != 0 ]]; then - - # MKDEBUG NEW (04/01/2025): this script was already run earlier with -s 1 - #cd ../../.. - #command "link_to_exp_for_tile.py -t $ID -i tile_runs -I exp_runs -s $sp_local" $dry_run - #cd ${kind}_runs/$ID/output - - # Remove previous runs of this job - rm -rf run_sp_tile_PsViSmVi* -fi - -(( do_job = $job & 128 )) -if [[ $do_job != 0 ]]; then - - echo - - cat_ngmix="run_sp_tile_ngmix_Ng1u/ngmix_runner/output/ngmix-*.fits" - dir_ngmix_prev="run_sp_tile_ngmix_Ng1u_prev/ngmix_runner/output" - cat_ngmix_prev="$dir_ngmix_prev/ngmix-*.fits" - - # Check whether ngmix output exists - if [ -e $cat_ngmix ]; then - message "ngmix output catalogue exists" $debug_out -1 - - # Check whether previous ngmix directory and output cat exist - exists="1" - if [ ! -d $dir_ngmix_prev ]; then - exists="0" - elif [ ! -e "$cat_ngmix_prev" ]; then - exists="1" - fi - if [ "$exists" == "0" ]; then - message "Moving to previous batch-save dir (does not exist yet)" $debug_out -1 - command "mkdir -p $dir_ngmix_prev" $dry_run - command "mv $cat_ngmix $dir_ngmix_prev" $dry_run - else - # Compare file sizes - size_cat_ngmix=$(stat -c%s $cat_ngmix) - size_cat_ngmix_prev=$(stat -c%s $cat_ngmix_prev) - if [ "$size_cat_ngmix" -gt "$size_cat_ngmix_prev" ]; then - message "Moving to batch-save dir, overwriting smaller batch-save cat" $debug_out -1 - command "mv $cat_ngmix $dir_ngmix_prev" $dry_run - else - message "Previous batch-save dir not smaller, removing ngmix output" $debug_out -1 - command "rm $cat_ngmix" $dry_run - fi - fi - else - # Whether or not previous ngmix exists, job_sp_canfar will handle it - message "No ngmix output exists, continuing..." $debug_out -1 - fi - - echo + if [ "$kind" == "tile" ]; then + cd ../../.. + command "link_to_exp_for_tile.py -t $ID -i tile_runs -I exp_runs -s $sp_local" $dry_run + cd ${kind}_runs/$ID/output + + # Remove duplicate job-16 runs (tile detection) + # New (P8) commented + #n_16=`ls -rt1d run_sp_tile_Sx_* | wc -l` + #if [ "$n_16" != "1" ]; then + #n_remove="$(($n_16-1))" + #echo "removing $n_remove duplicate old job-16 runs" + #command "rm -rf `ls -rt1d run_sp_tile_Sx_* | head -$n_remove`" $dry_run + #fi + + # Remove previous runs of this job + rm -rf run_sp_tile_PsViSmVi* + fi fi (( do_job = $job & 256 )) @@ -537,6 +509,7 @@ if [[ $do_job != 0 ]]; then # Remove previous runs of this job rm -rf run_sp_Ms_20??_* + fi (( do_job = $job & 512 )) @@ -572,11 +545,13 @@ if [ "$scratch" != "-1" ]; then command "cd $scratch/${kind}_runs/$ID" $dry_run fi -command "job_sp_canfar.bash -p psfex -j $job -e $ID --n_smp $N_SMP --nsh_jobs $N_SMP --debug_out $debug_out " $dry_run +command "job_sp_canfar.bash -p psfex -j $job -e $ID --n_smp $N_SMP --nsh_jobs $N_SMP --debug_out $debug_out --sm $sm " $dry_run if [ "$scratch" != "-1" ]; then cd ../.. - if [ "$job" == "32" ]; then + if [ "$job" == "16" ]; then + command "mv ${kind}_runs/$ID/output/run_sp_Sx_* $dir/${kind}_runs/$ID/output" $dry_run + elif [ "$job" == "32" ]; then command "mv ${kind}_runs/$ID/output/run_sp_exp_SxSe* $dir/${kind}_runs/$ID/output" $dry_run elif [ "$job" == "64" ]; then command "mv ${kind}_runs/$ID/output/run_sp_tile_PsViSm** $dir/${kind}_runs/$ID/output" $dry_run diff --git a/scripts/sh/job_sp_canfar.bash b/scripts/sh/job_sp_canfar.bash index d6a62f317..54036c932 100755 --- a/scripts/sh/job_sp_canfar.bash +++ b/scripts/sh/job_sp_canfar.bash @@ -22,6 +22,7 @@ results='cosmostat/kilbinger/results_v2' n_smp=-1 nsh_jobs=8 debug_out=-1 +sm=1 pat="--- " @@ -48,6 +49,8 @@ usage="Usage: $(basename "$0") [OPTIONS] [TILE_ID] -s, --star_cat_for_mask\n \tcatalogue for masking bright stars, allowed are 'onthefly', 'save',\n \tdefault is '${star_cat_for_mask}'\n + --sm SM\n + \tWith (SM=1; default) or without (SM=0) spread model input\n -e, --exclusive ID\n \texclusive input filer number string ID (default: None)\n -o, --output_dir\n @@ -96,6 +99,10 @@ while [ $# -gt 0 ]; do star_cat_for_mask="$2" shift ;; + --sm) + sm="$2" + shift + ;; -e|--exclusive) exclusive="$2" shift @@ -141,6 +148,7 @@ if [ "$debug_out" != "-1" ]; then echo "${pat}Starting $(basename "$0")" >> $debug_out fi +CONDA_PREFIX=/arc/home/kilbinger/.conda/envs/shapepipe PATH=$PATH:$CONDA_PREFIX/bin # For tar archives. TODO: Should be unique to each job @@ -196,8 +204,7 @@ function command () { echo "${pat}pwd = `pwd`" >> $debug_out echo "${pat}SP_RUN = $SP_RUN" >> $debug_out echo "${pat}SP_CONFIG = $SP_CONFIG" >> $debug_out - echo "${pat}pwd = `pwd`" >> $debug_out - fi + fi if [ $# == 2 ]; then if [ $VERBOSE == 1 ]; then @@ -214,7 +221,7 @@ function command () { echo "$str: running '$cmd $4 \"$5 $6\"'" fi if [ "$debug_out" != "-1" ]; then - echo "${pat}Running[2] $cmd $4 \"$5 $6\"" >> $debug_out + echo "${pat}Running $cmd $4 \"$5 $6\"" >> $debug_out fi $cmd $4 "$5 $6" @@ -228,7 +235,7 @@ function command () { fi if [ $VERBOSE == 1 ]; then - if [ "$res" == "0" ]; then + if [ $res == 0 ]; then echo -e "${GREEN}success, return value = $res${NC}" else echo -e "${RED}error, return value = $res${NC}" @@ -332,11 +339,6 @@ function update_config() { ### Start ### -command_sp "source activate shapepipe" "Activate conda shapepipe env" -if [ "$debug_out" != "-1" ]; then - echo "${pat}conda prefix = ${CONDA_PREFIX}" >> $debug_out -fi -CONDA_PREFIX=/arc/home/kilbinger/.conda/envs/shapepipe echo "Start processing" # Create input and output directories @@ -460,7 +462,6 @@ if [[ $do_job != 0 ]]; then fi ## Process tiles up to shape measurement -## MKDEBUG new 14/01/25: remove spread_model_runner (( do_job = $job & 64 )) if [[ $do_job != 0 ]]; then @@ -468,8 +469,8 @@ if [[ $do_job != 0 ]]; then letter=${psf:0:1} Letter=${letter^} command_cfg_shapepipe \ - "config_tile_${Letter}iViVi_canfar.ini" \ - "Run shapepipe (tile PsfInterp=$Letter}: up to ngmix" \ + "config_tile_${Letter}iViSmVi_canfar.ini" \ + "Run shapepipe (tile PsfInterp=$Letter}: up to ngmix+galsim)" \ $n_smp \ $exclusive @@ -540,12 +541,11 @@ if [[ $do_job != 0 ]]; then perl -ane \ 's/(N_SPLIT_MAX =) X/$1 '$nsh_jobs'/; print' \ > $SP_CONFIG_MOD/config_merge_sep_cats.ini - + ### Merge separated shapes catalogues command_sp \ "shapepipe_run -c $SP_CONFIG_MOD/config_merge_sep_cats.ini" \ "Run shapepipe (tile: merge sep cats)" \ - $exclusive \ "$VERBOSE" \ "$ID" fi @@ -553,9 +553,16 @@ fi (( do_job = $job & 512 )) if [[ $do_job != 0 ]]; then + # spread_model suffix for config file with or without SM input + if [ "$sm" == "0" ]; then + suff_sm="_nosm" + else + suff_sm="" + fi + ### Merge all relevant information into final catalogue command_cfg_shapepipe \ - "config_make_cat_$psf.ini" \ + "config_make_cat_$psf${suff_sm}.ini" \ "Run shapepipe (tile: create final cat $psf)" \ $n_smp \ $exclusive @@ -575,5 +582,5 @@ if [[ $do_job != 0 ]]; then fi if [ "$debug_out" != "-1" ]; then - echo "${pat}End $(basename "$0") ID=$exclusive" >> $debug_out + echo "${pat}End $(basename "$0") ID=$exclusive success" >> $debug_out fi diff --git a/shapepipe/modules/make_cat_package/make_cat.py b/shapepipe/modules/make_cat_package/make_cat.py index 91a968369..c7aa1e513 100644 --- a/shapepipe/modules/make_cat_package/make_cat.py +++ b/shapepipe/modules/make_cat_package/make_cat.py @@ -84,6 +84,11 @@ def save_sextractor_data(final_cat_file, sexcat_path, remove_vignet=True): remove_vignet : bool If ``True`` will not save the ``VIGNET`` field into the final catalogue + Returns + ------- + int + Number of objects saved + """ sexcat_file = file_io.FITSCatalogue(sexcat_path, SEx_catalogue=True) sexcat_file.open() @@ -109,6 +114,8 @@ def save_sextractor_data(final_cat_file, sexcat_path, remove_vignet=True): sexcat_file.close() + return cat_size + def save_sm_data( final_cat_file, @@ -116,6 +123,7 @@ def save_sm_data( do_classif=True, star_thresh=0.003, gal_thresh=0.01, + n_obj=-1, ): r"""Save Spread-Model Data. @@ -126,7 +134,8 @@ def save_sm_data( final_cat_file : file_io.FITSCatalogue Final catalogue sexcat_sm_path : str - Path to spread-model catalogue to save. + Path to spread-model catalogue to save. If ``None``, spread_model is + set to 99 do_classif : bool If ``True`` objects will be classified into stars, galaxies, and other, using the classifier @@ -137,17 +146,27 @@ def save_sm_data( gal_thresh : float Threshold for galaxy selection; object is classified as galaxy if :math:`{\rm class} >` ``gal_thresh`` + nobj : int, optional + Number of objects, only used if sexcat_sm_path is ``None`` """ final_cat_file.open() - sexcat_sm_file = file_io.FITSCatalogue(sexcat_sm_path, SEx_catalogue=True) - sexcat_sm_file.open() + if sexcat_sm_path is not None: + sexcat_sm_file = file_io.FITSCatalogue( + sexcat_sm_path, + SEx_catalogue=True, + ) + sexcat_sm_file.open() + + sm = np.copy(sexcat_sm_file.get_data()["SPREAD_MODEL"]) + sm_err = np.copy(sexcat_sm_file.get_data()["SPREADERR_MODEL"]) - sm = np.copy(sexcat_sm_file.get_data()["SPREAD_MODEL"]) - sm_err = np.copy(sexcat_sm_file.get_data()["SPREADERR_MODEL"]) + sexcat_sm_file.close() - sexcat_sm_file.close() + else: + sm = np.ones(n_obj) * 99 + sm_err = np.ones(n_obj) * 99 final_cat_file.add_col("SPREAD_MODEL", sm) final_cat_file.add_col("SPREADERR_MODEL", sm_err) @@ -175,10 +194,9 @@ class SaveCatalogue: """ - def __init__(self, final_cat_file, w_log): + def __init__(self, final_cat_file): self.final_cat_file = final_cat_file - self._w_log = w_log def process( self, @@ -281,8 +299,6 @@ def _save_ngmix_data(self, ngmix_cat_path, moments=False): ngmix_n_epoch = ngmix_cat_file.get_data()["n_epoch_model"] ngmix_mom_fail = ngmix_cat_file.get_data()["moments_fail"] - n_obj = len(self._obj_id) - self._w_log.info(f"writing ngmix info for {n_obj} objects") if moments: m = "m" else: @@ -291,8 +307,8 @@ def _save_ngmix_data(self, ngmix_cat_path, moments=False): ngmix_mcal_flags = ngmix_cat_file.get_data()["mcal_flags"] ngmix_id = ngmix_cat_file.get_data()["id"] - self._add2dict("NGMIX_N_EPOCH", np.zeros(n_obj)) - self._add2dict("NGMIX_MOM_FAIL", np.zeros(n_obj)) + self._add2dict("NGMIX_N_EPOCH", np.zeros(len(self._obj_id))) + self._add2dict("NGMIX_MOM_FAIL", np.zeros(len(self._obj_id))) prefix = f"NGMIX{m}" @@ -305,27 +321,26 @@ def _save_ngmix_data(self, ngmix_cat_path, moments=False): f"{prefix}_FLAGS_", f"{prefix}_T_PSFo_", ): - self._update_dict(key_str, np.zeros(n_obj)) + self._update_dict(key_str, np.zeros(len(self._obj_id))) for key_str in (f"NGMIX{m}_FLUX_ERR_", f"NGMIX{m}_MAG_ERR_"): - self._update_dict(key_str, np.ones(n_obj) * -1) + self._update_dict(key_str, np.ones(len(self._obj_id)) * -1) for key_str in ( f"NGMIX{m}_ELL_", f"NGMIX{m}_ELL_ERR_", f"NGMIX{m}_ELL_PSFo_", ): - self._update_dict(key_str, np.ones((n_obj, 2)) * -10.0) + self._update_dict(key_str, np.ones((len(self._obj_id), 2)) * -10.0) self._update_dict( f"NGMIX{m}_T_ERR_", - np.ones(n_obj) * 1e30, + np.ones(len(self._obj_id)) * 1e30, ) - self._add2dict(f"NGMIX{m}_MCAL_FLAGS", np.zeros(n_obj)) + self._add2dict(f"NGMIX{m}_MCAL_FLAGS", np.zeros(len(self._obj_id))) for idx, _ in enumerate(self._obj_id): for key in self._key_ends: x = self._output_dict[f"NGMIX{m}_ELL_{key}"][idx] if np.all(x != np.array([-10.0, -10.0])): - #print(x) - pass + print(x) for idx, id_tmp in enumerate(self._obj_id): ind = np.where(id_tmp == ngmix_id)[0] @@ -413,7 +428,6 @@ def _save_galsim_shapes(self, galsim_cat_path): self._key_ends = galsim_cat_file.get_ext_name()[1:] galsim_id = galsim_cat_file.get_data()["id"] - n_obj = len(self._obj_id) for key_str in ( "GALSIM_GAL_SIGMA_", @@ -421,7 +435,7 @@ def _save_galsim_shapes(self, galsim_cat_path): "GALSIM_FLUX_", "GALSIM_MAG_", ): - self._update_dict(key_str, np.zeros(n_obj)) + self._update_dict(key_str, np.zeros(len(self._obj_id))) for key_str in ("GALSIM_FLUX_ERR_", "GALSIM_MAG_ERR_", "GALSIM_RES_"): self._update_dict(key_str, np.ones(len(self._obj_id)) * -1) for key_str in ( @@ -430,10 +444,10 @@ def _save_galsim_shapes(self, galsim_cat_path): "GALSIM_GAL_ELL_UNCORR_", "GALSIM_PSF_ELL_", ): - self._update_dict(key_str, np.ones((n_obj, 2)) * -10.0) + self._update_dict(key_str, np.ones((len(self._obj_id), 2)) * -10.0) self._update_dict( "GALSIM_FLAGS_", - np.ones(n_obj, dtype="int16"), + np.ones(len(self._obj_id), dtype="int16"), ) for idx, id_tmp in enumerate(self._obj_id): @@ -524,23 +538,22 @@ def _save_psf_data(self, galaxy_psf_path): galaxy_psf_cat = SqliteDict(galaxy_psf_path) max_epoch = np.max(self.final_cat_file.get_data()["N_EPOCH"]) + 1 - n_obj = len(self._obj_id) self._output_dict = { - f"PSF_ELL_{idx + 1}": np.ones((n_obj, 2)) * -10.0 + f"PSF_ELL_{idx + 1}": np.ones((len(self._obj_id), 2)) * -10.0 for idx in range(max_epoch) } self._output_dict = { **self._output_dict, **{ - f"PSF_FWHM_{idx + 1}": np.zeros(n_obj) + f"PSF_FWHM_{idx + 1}": np.zeros(len(self._obj_id)) for idx in range(max_epoch) }, } self._output_dict = { **self._output_dict, **{ - f"PSF_FLAG_{idx + 1}": np.ones(n_obj, dtype="int16") + f"PSF_FLAG_{idx + 1}": np.ones(len(self._obj_id), dtype="int16") for idx in range(max_epoch) }, } diff --git a/shapepipe/modules/make_cat_runner.py b/shapepipe/modules/make_cat_runner.py index 82a20c83b..17ead7f05 100644 --- a/shapepipe/modules/make_cat_runner.py +++ b/shapepipe/modules/make_cat_runner.py @@ -2,7 +2,7 @@ Module runner for ``make_cat``. -:Author: Axel Guinot +:Author: Axel Guinot, Martin Kilbinger """ @@ -37,14 +37,25 @@ def make_cat_runner( ): """Define The Make Catalogue Runner.""" # Set input file paths - ( - tile_sexcat_path, - sexcat_sm_path, - galaxy_psf_path, - shape1_cat_path, - ) = input_file_list[0:4] - if len(input_file_list) == 5: - shape2_cat_path = input_file_list[4] + if len(input_file_list) == 3: + # No spread model input + ( + tile_sexcat_path, + galaxy_psf_path, + shape1_cat_path, + ) = input_file_list + sexcat_sm_path = None + else: + # With spread model input + ( + tile_sexcat_path, + sexcat_sm_path, + galaxy_psf_path, + shape1_cat_path, + ) = input_file_list[0:4] + if len(input_file_list) == 5: + # With second shape catalogue input + shape2_cat_path = input_file_list[4] # Fetch classification options do_classif = config.getboolean( @@ -83,20 +94,24 @@ def make_cat_runner( # Save SExtractor data w_log.info("Save SExtractor data") - make_cat.save_sextractor_data(final_cat_file, tile_sexcat_path) + n_obj = make_cat.save_sextractor_data(final_cat_file, tile_sexcat_path) # Save spread-model data w_log.info("Save spread-model data") + if sexcat_sm_path is None: + w_log.info("No sm cat input, setting spread model to 99") + n_obj make_cat.save_sm_data( final_cat_file, sexcat_sm_path, do_classif, star_thresh, gal_thresh, + n_obj=n_obj ) # Save shape data - sc_inst = make_cat.SaveCatalogue(final_cat_file, w_log) + sc_inst = make_cat.SaveCatalogue(final_cat_file) w_log.info("Save shape measurement data") for shape_type in shape_type_list: w_log.info(f"Save {shape_type.lower()} data") From 7f76e59ff80cd39e3c7a92c26c0974fb3785c854 Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Wed, 12 Feb 2025 07:21:44 +0000 Subject: [PATCH 210/217] check nobj script improved --- scripts/python/check_nobj_ngmix_mc.py | 21 ++-- scripts/sh/init_run_exclusive_canfar.sh | 111 +++++++--------- .../modules/make_cat_package/make_cat.py | 118 +++++++++++++----- shapepipe/modules/make_cat_runner.py | 37 ++++-- shapepipe/utilities/summary.py | 7 +- 5 files changed, 176 insertions(+), 118 deletions(-) diff --git a/scripts/python/check_nobj_ngmix_mc.py b/scripts/python/check_nobj_ngmix_mc.py index 608b34941..415288b0e 100755 --- a/scripts/python/check_nobj_ngmix_mc.py +++ b/scripts/python/check_nobj_ngmix_mc.py @@ -52,7 +52,7 @@ def get_naxis2_value(file_path): print(f"{ID} -- ngmix cats {ngmix_file_pattern} not found") continue if not mc_files: - print(f"{ID} -- mc cats not {mc_file_pattern} found") + print(f"{ID} -- mc cats not found {mc_file_pattern}") continue # Get newest files @@ -69,6 +69,8 @@ def get_naxis2_value(file_path): f"run_sp_tile_ngmix_Ng*/ngmix_runner/output/ngmix-{IDx}.fits", ) sep_ngmix_files = [f for f in glob.glob(sep_ngmix_file_pattern)] + sep_ngmix_file = max(sep_ngmix_files, key=lambda f: os.path.getmtime(f)) + if not sep_ngmix_files: raise ValueError(f"No separate ngmix files found for ID {ID}") sep_naxis2 = 0 @@ -82,20 +84,21 @@ def get_naxis2_value(file_path): print(f"{ID} -- no NAXIS2 keyword found in mc cat") continue - - # Check run tim of 256b and 512 jobs - if os.path.getmtime(ngmix_file) > os.path.getmtime(mc_file): - print(f"{ID} -- merged newer than mc {os.path.getmtime(ngmix_file)}" - + f" {os.path.getmtime(mc_file)}" - ) + # Check run time of 128, 256, and 512 jobs + if ( + os.path.getmtime(ngmix_file) > os.path.getmtime(mc_file) + or os.path.getmtime(mc_file) > os.path.getmtime(sep_ngmix_file) + ): + print("{ID} -- mc, sep, and/or merged ngmix file out of order") # Compare values and output ID if they differ - if ngmix_naxis2 != sep_naxis2: + elif ngmix_naxis2 != sep_naxis2: print( f"{ID} -- ngmix differ between sep {sep_naxis2} and merged" + f" {ngmix_naxis2}" ) - if ngmix_naxis2 != mc_naxis2: + + elif ngmix_naxis2 != mc_naxis2: ratio = float(ngmix_naxis2) / float(mc_naxis2) if ratio < 0.75: diff --git a/scripts/sh/init_run_exclusive_canfar.sh b/scripts/sh/init_run_exclusive_canfar.sh index ccd02a1df..815dc5851 100755 --- a/scripts/sh/init_run_exclusive_canfar.sh +++ b/scripts/sh/init_run_exclusive_canfar.sh @@ -13,6 +13,7 @@ debug_out=-1 scratch=-1 fix=0 test_only=0 +sm=1 # mh_local is 0 (1) if merge_header_runner is run on all exposures, # which is standard so far (run on exposures of given tile only; new) @@ -39,6 +40,8 @@ usage="Usage: $(basename "$0") -j JOB -e ID -k KIND [OPTIONS] \tmerge header file local (MH=1) or global (MH=0); default is $mh_local\n -s, --sp_local SP\n \tsplit local run local (SP=1) or global (SP=r0wwdefault is $sp_local\n + --sm SM\n + \tWith (SM=1; default) or without (SM=0) spread model input\n -N, --N_SMP N_SMOp\n \tnumber of jobs (SMP mode only), default from original config files\n -d, --directory\n @@ -88,6 +91,10 @@ while [ $# -gt 0 ]; do sp_local="$2" shift ;; + --sm) + sm="$2" + shift + ;; -N|--N_SMP) N_SMP="$2" shift @@ -139,6 +146,7 @@ function message() { # Init message +message "test=$test_only" $debug_out -1 if [ "$test_only" == "1" ]; then msg="init_run_exclusive.py script test mode, exiting." ex=0 @@ -202,19 +210,10 @@ else message "not running in dry run mode" $debug_out -1 fi -source activate shapepipe -if [ "$debug_out" != "-1" ]; then - echo "${pat}conda prefix = ${CONDA_PREFIX}" >> $debug_out -fi - CONDA_PREFIX=$HOME/.conda/envs/shapepipe PATH=$PATH:$CONDA_PREFIX/bin -message "conda prefix = ${CONDA_PREFIX}" $debug_out -1 -message "HOME = ${HOME}" $debug_out -1 -message "path = ${PATH}" $debug_out -1 cd $dir -message "pwd=$pwd" $debug_out -1 if [ ! -d ${kind}_runs ]; then command "mkdir ${kind}_runs" $dry_run @@ -358,7 +357,7 @@ if [ $do_job != 0 ] && [ "$sp_local" == "1" ]; then # run local Sp if not done already; works only with mh_local=1; this step needs to be done # before following mh_local=1 steps message "run local sp" $debug_out -1 - command "rm -rf run_sp_GitFeGie*/get_images_runner_run_2" $dry_run + #command "rm -rf run_sp_GitFeGie*/get_images_runner_run_2" $dry_run command "rm -rf run_sp_Gie*" $dry_run command "rm -rf run_sp_exp_Sp*" $dry_run @@ -411,10 +410,6 @@ if [ $do_job != 0 ] && [ "$sp_local" == "1" ]; then fi if [ "$kind" == "tile" ] && [ "$sp_local" == "1" ]; then - # Link to exposure outputs (runs 2 and 32) - - # Remove previous split exp dir -rm -r run_sp_exp_Sp_shdu cd ../../.. command "link_to_exp_for_tile.py -t $ID -i tile_runs -I exp_runs -s $sp_local" $dry_run cd tile_runs/$ID @@ -439,6 +434,7 @@ else message "ID needs to be given (option -e) for mh_local" $debug_out 6 fi + # Check and remove symbolic (global) mh file link if [ -L log_exp_headers.sqlite ]; then # Local Mh and symlink -> remove previous link to # (potentially incomplete) global mh file @@ -448,6 +444,17 @@ else message "no mh link found" $debug_out -1 fi + # Check size of existing header file + if [ -e log_exp_headers.sqlite ]; then + size=$(stat -c %s log_exp_headers.sqlite) + if (( size > 15000 )); then + message "Found valid local mh file, continuing" $debug_out -1 + else + message "Existing local mh file looks invalid, deleting" $debug_out -1 + rm -f log_exp_headers.sqlite + fi + fi + if [ ! -e log_exp_headers.sqlite ]; then message "Creating local mh file" $debug_out -1 @@ -478,58 +485,23 @@ fi # Update links to exposure run directories, which were created in job 32 (( do_job = $job & 64 )) if [[ $do_job != 0 ]]; then - - # MKDEBUG NEW (04/01/2025): this script was already run earlier with -s 1 - #cd ../../.. - #command "link_to_exp_for_tile.py -t $ID -i tile_runs -I exp_runs -s $sp_local" $dry_run - #cd ${kind}_runs/$ID/output - - # Remove previous runs of this job - rm -rf run_sp_tile_PsViSmVi* -fi - -(( do_job = $job & 128 )) -if [[ $do_job != 0 ]]; then - - echo - - cat_ngmix="run_sp_tile_ngmix_Ng1u/ngmix_runner/output/ngmix-*.fits" - dir_ngmix_prev="run_sp_tile_ngmix_Ng1u_prev/ngmix_runner/output" - cat_ngmix_prev="$dir_ngmix_prev/ngmix-*.fits" - - # Check whether ngmix output exists - if [ -e $cat_ngmix ]; then - message "ngmix output catalogue exists" $debug_out -1 - - # Check whether previous ngmix directory and output cat exist - exists="1" - if [ ! -d $dir_ngmix_prev ]; then - exists="0" - elif [ ! -e "$cat_ngmix_prev" ]; then - exists="1" - fi - if [ "$exists" == "0" ]; then - message "Moving to previous batch-save dir (does not exist yet)" $debug_out -1 - command "mkdir -p $dir_ngmix_prev" $dry_run - command "mv $cat_ngmix $dir_ngmix_prev" $dry_run - else - # Compare file sizes - size_cat_ngmix=$(stat -c%s $cat_ngmix) - size_cat_ngmix_prev=$(stat -c%s $cat_ngmix_prev) - if [ "$size_cat_ngmix" -gt "$size_cat_ngmix_prev" ]; then - message "Moving to batch-save dir, overwriting smaller batch-save cat" $debug_out -1 - command "mv $cat_ngmix $dir_ngmix_prev" $dry_run - else - message "Previous batch-save dir not smaller, removing ngmix output" $debug_out -1 - command "rm $cat_ngmix" $dry_run - fi - fi - else - # Whether or not previous ngmix exists, job_sp_canfar will handle it - message "No ngmix output exists, continuing..." $debug_out -1 - fi - - echo + if [ "$kind" == "tile" ]; then + cd ../../.. + command "link_to_exp_for_tile.py -t $ID -i tile_runs -I exp_runs -s $sp_local" $dry_run + cd ${kind}_runs/$ID/output + + # Remove duplicate job-16 runs (tile detection) + # New (P8) commented + #n_16=`ls -rt1d run_sp_tile_Sx_* | wc -l` + #if [ "$n_16" != "1" ]; then + #n_remove="$(($n_16-1))" + #echo "removing $n_remove duplicate old job-16 runs" + #command "rm -rf `ls -rt1d run_sp_tile_Sx_* | head -$n_remove`" $dry_run + #fi + + # Remove previous runs of this job + rm -rf run_sp_tile_PsViSmVi* + fi fi (( do_job = $job & 256 )) @@ -537,6 +509,7 @@ if [[ $do_job != 0 ]]; then # Remove previous runs of this job rm -rf run_sp_Ms_20??_* + fi (( do_job = $job & 512 )) @@ -572,11 +545,13 @@ if [ "$scratch" != "-1" ]; then command "cd $scratch/${kind}_runs/$ID" $dry_run fi -command "job_sp_canfar.bash -p psfex -j $job -e $ID --n_smp $N_SMP --nsh_jobs $N_SMP --debug_out $debug_out " $dry_run +command "job_sp_canfar.bash -p psfex -j $job -e $ID --n_smp $N_SMP --nsh_jobs $N_SMP --debug_out $debug_out --sm $sm " $dry_run if [ "$scratch" != "-1" ]; then cd ../.. - if [ "$job" == "32" ]; then + if [ "$job" == "16" ]; then + command "mv ${kind}_runs/$ID/output/run_sp_Sx_* $dir/${kind}_runs/$ID/output" $dry_run + elif [ "$job" == "32" ]; then command "mv ${kind}_runs/$ID/output/run_sp_exp_SxSe* $dir/${kind}_runs/$ID/output" $dry_run elif [ "$job" == "64" ]; then command "mv ${kind}_runs/$ID/output/run_sp_tile_PsViSm** $dir/${kind}_runs/$ID/output" $dry_run diff --git a/shapepipe/modules/make_cat_package/make_cat.py b/shapepipe/modules/make_cat_package/make_cat.py index 91a968369..71aaf55ce 100644 --- a/shapepipe/modules/make_cat_package/make_cat.py +++ b/shapepipe/modules/make_cat_package/make_cat.py @@ -2,7 +2,7 @@ This module contains a class to create a shear catalogue. -:Author: Axel Guinot +:Authors: Axel Guinot, Martin Kilbinger """ @@ -19,6 +19,27 @@ from shapepipe.utilities import galaxy +def get_output_name(output_dir, file_number_string): + """Get Output Name. + + Return output file name. + + Parameters + ---------- + output_dir : str + directory name + file_number_string : str + ShapePipe pipeline number string + + Returns + ------- + str + output path name + + """ + return f"{output_dir}/final_cat{file_number_string}.fits" + + def prepare_final_cat_file(output_path, file_number_string): """Prepare Final Catalogue File. @@ -37,7 +58,8 @@ def prepare_final_cat_file(output_path, file_number_string): Output FITS file """ - output_name = f"{output_path}/final_cat{file_number_string}.fits" + + output_name = get_output_name(output_path, file_number_string) return file_io.FITSCatalogue( output_name, @@ -84,6 +106,11 @@ def save_sextractor_data(final_cat_file, sexcat_path, remove_vignet=True): remove_vignet : bool If ``True`` will not save the ``VIGNET`` field into the final catalogue + Returns + ------- + int + Number of objects saved + """ sexcat_file = file_io.FITSCatalogue(sexcat_path, SEx_catalogue=True) sexcat_file.open() @@ -109,6 +136,8 @@ def save_sextractor_data(final_cat_file, sexcat_path, remove_vignet=True): sexcat_file.close() + return cat_size + def save_sm_data( final_cat_file, @@ -138,6 +167,10 @@ def save_sm_data( Threshold for galaxy selection; object is classified as galaxy if :math:`{\rm class} >` ``gal_thresh`` + Returns + ------- + int + Number of objects saved """ final_cat_file.open() @@ -146,6 +179,7 @@ def save_sm_data( sm = np.copy(sexcat_sm_file.get_data()["SPREAD_MODEL"]) sm_err = np.copy(sexcat_sm_file.get_data()["SPREADERR_MODEL"]) + cat_size = len(sm) sexcat_sm_file.close() @@ -162,6 +196,8 @@ def save_sm_data( final_cat_file.close() + return cat_size + class SaveCatalogue: """Save Catalogue. @@ -172,13 +208,15 @@ class SaveCatalogue: ---------- final_cat_file : str Final catalogue file name + cat_size_target : int + target catalogue size """ - def __init__(self, final_cat_file, w_log): + def __init__(self, final_cat_file, cat_size_target): - self.final_cat_file = final_cat_file - self._w_log = w_log + self._final_cat_file = final_cat_file + self._cat_size_target = cat_size_target def process( self, @@ -197,29 +235,39 @@ def process( moments : bool Option to run ``ngmix`` mode with moments + Returns + -------- + str + error message if failure; `None` if success + """ self._output_dict = {} - self.final_cat_file.open() - self._obj_id = np.copy(self.final_cat_file.get_data()["NUMBER"]) + self._final_cat_file.open() + self._obj_id = np.copy(self._final_cat_file.get_data()["NUMBER"]) + err_msg = None if mode == "ngmix": - self._save_ngmix_data(cat_path, moments) + err_msg = self._save_ngmix_data(cat_path, moments) elif mode == "galsim": self._save_galsim_shapes(cat_path) elif mode == "psf": self._save_psf_data(cat_path) else: - raise ValueError( + err_msg = ( f"Invalid process mode ({mode}) for " + '``make_cat.Savecatalogue``. Options are "ngmix", ' + '"galsim" or "psf".' ) - for key in self._output_dict.keys(): - self.final_cat_file.add_col(key, self._output_dict[key]) + if err_msg is None: - self.final_cat_file.close() + for key in self._output_dict.keys(): + self._final_cat_file.add_col(key, self._output_dict[key]) + + self._final_cat_file.close() + + return err_msg def _update_dict(self, key_string, value): """Update Dictionary. @@ -279,10 +327,17 @@ def _save_ngmix_data(self, ngmix_cat_path, moments=False): ngmix_cat_file.open() ngmix_n_epoch = ngmix_cat_file.get_data()["n_epoch_model"] + if len(ngmix_n_epoch) / self._cat_size_target < 0.9: + ngmix_cat_file.close() + err_msg = ( + f"Merged shape catalogue {ngmix_cat_path} has very different size" + + f" ({len(ngmix_n_epoch)}) than target size" + + f" {self._cat_size_target})" + ) + return err_msg + ngmix_mom_fail = ngmix_cat_file.get_data()["moments_fail"] - n_obj = len(self._obj_id) - self._w_log.info(f"writing ngmix info for {n_obj} objects") if moments: m = "m" else: @@ -291,8 +346,8 @@ def _save_ngmix_data(self, ngmix_cat_path, moments=False): ngmix_mcal_flags = ngmix_cat_file.get_data()["mcal_flags"] ngmix_id = ngmix_cat_file.get_data()["id"] - self._add2dict("NGMIX_N_EPOCH", np.zeros(n_obj)) - self._add2dict("NGMIX_MOM_FAIL", np.zeros(n_obj)) + self._add2dict("NGMIX_N_EPOCH", np.zeros(len(self._obj_id))) + self._add2dict("NGMIX_MOM_FAIL", np.zeros(len(self._obj_id))) prefix = f"NGMIX{m}" @@ -305,27 +360,26 @@ def _save_ngmix_data(self, ngmix_cat_path, moments=False): f"{prefix}_FLAGS_", f"{prefix}_T_PSFo_", ): - self._update_dict(key_str, np.zeros(n_obj)) + self._update_dict(key_str, np.zeros(len(self._obj_id))) for key_str in (f"NGMIX{m}_FLUX_ERR_", f"NGMIX{m}_MAG_ERR_"): - self._update_dict(key_str, np.ones(n_obj) * -1) + self._update_dict(key_str, np.ones(len(self._obj_id)) * -1) for key_str in ( f"NGMIX{m}_ELL_", f"NGMIX{m}_ELL_ERR_", f"NGMIX{m}_ELL_PSFo_", ): - self._update_dict(key_str, np.ones((n_obj, 2)) * -10.0) + self._update_dict(key_str, np.ones((len(self._obj_id), 2)) * -10.0) self._update_dict( f"NGMIX{m}_T_ERR_", - np.ones(n_obj) * 1e30, + np.ones(len(self._obj_id)) * 1e30, ) - self._add2dict(f"NGMIX{m}_MCAL_FLAGS", np.zeros(n_obj)) + self._add2dict(f"NGMIX{m}_MCAL_FLAGS", np.zeros(len(self._obj_id))) for idx, _ in enumerate(self._obj_id): for key in self._key_ends: x = self._output_dict[f"NGMIX{m}_ELL_{key}"][idx] if np.all(x != np.array([-10.0, -10.0])): - #print(x) - pass + print(x) for idx, id_tmp in enumerate(self._obj_id): ind = np.where(id_tmp == ngmix_id)[0] @@ -396,6 +450,8 @@ def _save_ngmix_data(self, ngmix_cat_path, moments=False): ngmix_cat_file.close() + return None + def _save_galsim_shapes(self, galsim_cat_path): """Save GalSim Shapes. @@ -413,7 +469,6 @@ def _save_galsim_shapes(self, galsim_cat_path): self._key_ends = galsim_cat_file.get_ext_name()[1:] galsim_id = galsim_cat_file.get_data()["id"] - n_obj = len(self._obj_id) for key_str in ( "GALSIM_GAL_SIGMA_", @@ -421,7 +476,7 @@ def _save_galsim_shapes(self, galsim_cat_path): "GALSIM_FLUX_", "GALSIM_MAG_", ): - self._update_dict(key_str, np.zeros(n_obj)) + self._update_dict(key_str, np.zeros(len(self._obj_id))) for key_str in ("GALSIM_FLUX_ERR_", "GALSIM_MAG_ERR_", "GALSIM_RES_"): self._update_dict(key_str, np.ones(len(self._obj_id)) * -1) for key_str in ( @@ -430,10 +485,10 @@ def _save_galsim_shapes(self, galsim_cat_path): "GALSIM_GAL_ELL_UNCORR_", "GALSIM_PSF_ELL_", ): - self._update_dict(key_str, np.ones((n_obj, 2)) * -10.0) + self._update_dict(key_str, np.ones((len(self._obj_id), 2)) * -10.0) self._update_dict( "GALSIM_FLAGS_", - np.ones(n_obj, dtype="int16"), + np.ones(len(self._obj_id), dtype="int16"), ) for idx, id_tmp in enumerate(self._obj_id): @@ -523,24 +578,23 @@ def _save_psf_data(self, galaxy_psf_path): """ galaxy_psf_cat = SqliteDict(galaxy_psf_path) - max_epoch = np.max(self.final_cat_file.get_data()["N_EPOCH"]) + 1 - n_obj = len(self._obj_id) + max_epoch = np.max(self._final_cat_file.get_data()["N_EPOCH"]) + 1 self._output_dict = { - f"PSF_ELL_{idx + 1}": np.ones((n_obj, 2)) * -10.0 + f"PSF_ELL_{idx + 1}": np.ones((len(self._obj_id), 2)) * -10.0 for idx in range(max_epoch) } self._output_dict = { **self._output_dict, **{ - f"PSF_FWHM_{idx + 1}": np.zeros(n_obj) + f"PSF_FWHM_{idx + 1}": np.zeros(len(self._obj_id)) for idx in range(max_epoch) }, } self._output_dict = { **self._output_dict, **{ - f"PSF_FLAG_{idx + 1}": np.ones(n_obj, dtype="int16") + f"PSF_FLAG_{idx + 1}": np.ones(len(self._obj_id), dtype="int16") for idx in range(max_epoch) }, } diff --git a/shapepipe/modules/make_cat_runner.py b/shapepipe/modules/make_cat_runner.py index 82a20c83b..9feb1804a 100644 --- a/shapepipe/modules/make_cat_runner.py +++ b/shapepipe/modules/make_cat_runner.py @@ -2,10 +2,12 @@ Module runner for ``make_cat``. -:Author: Axel Guinot +:Authors: Axel Guinot, Martin Kilbinger """ +import os + from shapepipe.modules.make_cat_package import make_cat from shapepipe.modules.module_decorator import module_runner @@ -83,11 +85,14 @@ def make_cat_runner( # Save SExtractor data w_log.info("Save SExtractor data") - make_cat.save_sextractor_data(final_cat_file, tile_sexcat_path) + cat_size_sextractor = make_cat.save_sextractor_data( + final_cat_file, + tile_sexcat_path + ) # Save spread-model data w_log.info("Save spread-model data") - make_cat.save_sm_data( + cat_size_sm = make_cat.save_sm_data( final_cat_file, sexcat_sm_path, do_classif, @@ -95,17 +100,35 @@ def make_cat_runner( gal_thresh, ) + if cat_size_sextractor != cat_size_sm: + raise ValueError( + f"SExtractor catalogue {tile_sexcat_path} has different size" + + f" ({cat_size_sextractor} than spread_model catalogue" + + f" {sexcat_sm_path} ({cat_size_sm})" + ) + # Save shape data - sc_inst = make_cat.SaveCatalogue(final_cat_file, w_log) + sc_inst = make_cat.SaveCatalogue(final_cat_file, cat_size_sextractor) w_log.info("Save shape measurement data") for shape_type in shape_type_list: w_log.info(f"Save {shape_type.lower()} data") cat_path = ( shape2_cat_path if shape_type == "galsim" else shape1_cat_path ) - sc_inst.process(shape_type.lower(), cat_path) + err_msg = sc_inst.process(shape_type.lower(), cat_path) + + + # If error message: delete (incomplete) output file and raise error + if err_msg is not None: + os.remove( + make_cat.get_output_name( + run_dirs["output"], + file_number_string, + ) + ) + raise ValueError(err_msg) + if save_psf: - sc_inst.process("psf", galaxy_psf_path) + err_msg = sc_inst.process("psf", galaxy_psf_path) - # No return objects return None, None diff --git a/shapepipe/utilities/summary.py b/shapepipe/utilities/summary.py index 4f69f4dc5..8860be97e 100755 --- a/shapepipe/utilities/summary.py +++ b/shapepipe/utilities/summary.py @@ -15,7 +15,7 @@ from tqdm import tqdm -print("summaary v1.4") +print("summary v1.5") def init_par_runtime(list_tile_IDs): @@ -654,7 +654,10 @@ def get_names_in_dir(self, iterable, module, idx): for entry in entries: # Append directory name if matches module - if entry.name.startswith(self._run_dir[idx]): + if ( + entry.name.startswith(self._run_dir[idx]) + and not entry.name.endswith("prev") + ): matches.append(entry) # This entry does not match module -> next From f87a73604eee33504831a0e54f4bebf6a3df1b45 Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Wed, 12 Feb 2025 08:28:07 +0100 Subject: [PATCH 211/217] Update curl_canfar_local.sh restored some v1.4 additions --- scripts/sh/curl_canfar_local.sh | 21 +++++++++++++++------ 1 file changed, 15 insertions(+), 6 deletions(-) diff --git a/scripts/sh/curl_canfar_local.sh b/scripts/sh/curl_canfar_local.sh index 9722eddb5..ada5dc4f0 100755 --- a/scripts/sh/curl_canfar_local.sh +++ b/scripts/sh/curl_canfar_local.sh @@ -19,6 +19,7 @@ N_SMP=1 fix=0 version="1.1" cmd_remote="$HOME/shapepipe/scripts/sh/init_run_exclusive_canfar.sh" +batch=30 batch_max=200 dry_run=0 mh_local=0 @@ -50,7 +51,7 @@ usage="Usage: $(basename "$0") -j JOB -[e ID |-f file_IDs] -k KIND [OPTIONS] -N, --N_SMP N_SMOp\n \tnumber of jobs (SMP mode only), default=$N_SMP\n -F, --fix FIX\n - \tfix missing data (re-download tile, unzip) for FIX=1; default is $fix\ + \tfix missing data (re-download tile, unzip) for FIX=1; default is $fix\n -V, --version\n \tversion of docker image, default='$version'\n -C, --command_remote\n @@ -120,6 +121,14 @@ while [ $# -gt 0 ]; do scratch="$2" shift ;; + -V|--version) + version="$2" + shift + ;; + -B|--batch) + batch="$2" + shift + ;; -b|--batch_max) batch_max="$2" shift @@ -169,15 +178,15 @@ if [ "$dry_run" != 0 ] && [ "$dry_run" != 1 ] && [ "$dry_run" != 2 ]; then fi if [ "$debug_out" != "-1" ]; then - echo "${pat}Starting $(basename "$0")" >> $debug_out + echo "${pat}Starting $(basename "$0") $test_arg" >> $debug_out echo "${pat}curl ID=$ID" >> $debug_out echo ${pat}`date` >> $debug_out fi -. /opt/conda/etc/profile.d/conda.sh -conda activate shapepipe +source activate shapepipe if [ "$debug_out" != "-1" ]; then echo "${pat}conda prefix = ${CONDA_PREFIX}" >> $debug_out + echo "${pat}script version = ${script_version}" >> $debug_out fi # command line arguments for remote script: @@ -194,7 +203,7 @@ function submit_batch() { for ID in `cat $path`; do IDt=`echo $ID | tr "." "-"` my_name="SP-${patch}-J${job}-${IDt}" - call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $sm $debug_out $fix $scratch $test_arg + call_curl $my_name $job $psf $ID $N_SMP $dry_run $dir $mh_local $sp_local $sm $debug_out $fix $scratch $test_arg done } @@ -290,5 +299,5 @@ fi echo "Done $(basename "$0")" if [ "$debug_out" != "-1" ]; then - echo "${pat}End $(basename "$0")" >> $debug_out + echo "${pat}End $(basename "$0") $test_arg" >> $debug_out fi From 674216f5ea3448c57299df30a4da55188352fd2b Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Wed, 12 Feb 2025 08:31:13 +0100 Subject: [PATCH 212/217] Update functions.sh brought back additions from v1.4 --- scripts/sh/functions.sh | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/scripts/sh/functions.sh b/scripts/sh/functions.sh index 324864f26..02f6544b1 100644 --- a/scripts/sh/functions.sh +++ b/scripts/sh/functions.sh @@ -35,7 +35,7 @@ function call_curl() { my_arg="-j $my_job -p $my_psf -e $my_ID -N $my_N_SMP -n $my_dry_run -d $my_dir -m $my_mh_local -s $my_sp_local --sm $my_sm --debug_out $my_debug_out -F $my_fix -S $my_scratch $my_test_arg" if [ "$my_dry_run" == "0" ]; then - my_session=`curl -E $SSL "$SESSION?$RESOURCES" -d "image=$IMAGE:$version" -d "name=${my_name}" -d "cmd=$cmd_remote" --data-urlencode "args=${my_arg[@]}" &> /dev/null` + my_session=`curl -E $SSL "$SESSION?$RESOURCES" -d "image=$IMAGE:$version" -d "name=${my_name}" -d "cmd=$cmd_remote" --data-urlencode "args=${my_arg[@]}"` fi cmd=("curl" "-E" "$SSL" "$SESSION?$RESOURCES" "-d" "image=$IMAGE:$version" "-d" "name=${my_name}" "-d" "cmd=$cmd_remote" "--data-urlencode" "args=\"${my_arg}\"") @@ -44,7 +44,7 @@ function call_curl() { echo "${pat}call_curl $my_name $my_arg" >> $my_debug_out echo "${pat}Running ${cmd[@]} (dry_run=$my_dry_run)" >> $my_debug_out fi - #echo "${cmd[@]} (dry_run=$my_dry_run)" + echo "${cmd[@]} (dry_run=$my_dry_run)" # Running $cmd does not work due to unknown problems with passing of args @@ -79,7 +79,7 @@ function command () { res=$? if [ "$debug_out" != "-1" ]; then - echo "${pat}result=$res" >> $debug_out + echo "${pat}exit code=$res" >> $debug_out fi if [ $VERBOSE == 1 ]; then @@ -92,6 +92,9 @@ function command () { if [ "$debug_out" != "-1" ]; then echo "${pat}${RED}exiting $(basename "$0")', error in command '$cmd'${NC}" >> $debug_out fi + if [ "$debug_out" != "-1" ]; then + echo "${pat}${RED}exiting $(basename "$0")', error in command '$cmd'${NC}" >> $debug_out + fi exit $res else echo "${RED}continuing '$(basename "$0")', error in command '$cmd'${NC}" From 4c038f7329452a22fb9770e412d1298ee775765e Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Wed, 12 Feb 2025 08:38:52 +0100 Subject: [PATCH 213/217] Update init_run_exclusive_canfar.sh added back removed parts (128 prev) --- scripts/sh/init_run_exclusive_canfar.sh | 44 +++++++++++++++++++++++++ 1 file changed, 44 insertions(+) diff --git a/scripts/sh/init_run_exclusive_canfar.sh b/scripts/sh/init_run_exclusive_canfar.sh index 815dc5851..67f62797c 100755 --- a/scripts/sh/init_run_exclusive_canfar.sh +++ b/scripts/sh/init_run_exclusive_canfar.sh @@ -504,6 +504,50 @@ if [[ $do_job != 0 ]]; then fi fi +(( do_job = $job & 128 )) +if [[ $do_job != 0 ]]; then + + echo + + cat_ngmix="run_sp_tile_ngmix_Ng1u/ngmix_runner/output/ngmix-*.fits" + dir_ngmix_prev="run_sp_tile_ngmix_Ng1u_prev/ngmix_runner/output" + cat_ngmix_prev="$dir_ngmix_prev/ngmix-*.fits" + + # Check whether ngmix output exists + if [ -e $cat_ngmix ]; then + message "ngmix output catalogue exists" $debug_out -1 + + # Check whether previous ngmix directory and output cat exist + exists="1" + if [ ! -d $dir_ngmix_prev ]; then + exists="0" + elif [ ! -e "$cat_ngmix_prev" ]; then + exists="1" + fi + if [ "$exists" == "0" ]; then + message "Moving to previous batch-save dir (does not exist yet)" $debug_out -1 + command "mkdir -p $dir_ngmix_prev" $dry_run + command "mv $cat_ngmix $dir_ngmix_prev" $dry_run + else + # Compare file sizes + size_cat_ngmix=$(stat -c%s $cat_ngmix) + size_cat_ngmix_prev=$(stat -c%s $cat_ngmix_prev) + if [ "$size_cat_ngmix" -gt "$size_cat_ngmix_prev" ]; then + message "Moving to batch-save dir, overwriting smaller batch-save cat" $debug_out -1 + command "mv $cat_ngmix $dir_ngmix_prev" $dry_run + else + message "Previous batch-save dir not smaller, removing ngmix output" $debug_out -1 + command "rm $cat_ngmix" $dry_run + fi + fi + else + # Whether or not previous ngmix exists, job_sp_canfar will handle it + message "No ngmix output exists, continuing..." $debug_out -1 + fi + + echo +fi + (( do_job = $job & 256 )) if [[ $do_job != 0 ]]; then From a719a4450f54dd490b052280d708eba098af754b Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Wed, 12 Feb 2025 08:47:48 +0100 Subject: [PATCH 214/217] Update make_cat.pya added (back) n_obj, w_log --- .../modules/make_cat_package/make_cat.py | 33 +++++++++++-------- 1 file changed, 19 insertions(+), 14 deletions(-) diff --git a/shapepipe/modules/make_cat_package/make_cat.py b/shapepipe/modules/make_cat_package/make_cat.py index c7aa1e513..5e4e7591e 100644 --- a/shapepipe/modules/make_cat_package/make_cat.py +++ b/shapepipe/modules/make_cat_package/make_cat.py @@ -194,9 +194,10 @@ class SaveCatalogue: """ - def __init__(self, final_cat_file): + def __init__(self, final_cat_file, w_log): self.final_cat_file = final_cat_file + self._w_log = w_log def process( self, @@ -280,7 +281,7 @@ def _add2dict(self, key, value, index=None): else: self._output_dict[key] = value - def _save_ngmix_data(self, ngmix_cat_path, moments=False): + def _save_ngmix_data(self, ngmix_cat_path, moments=False, w_log): """Save NGMIX Data. Save the NGMIX catalogue into the final one. @@ -299,6 +300,9 @@ def _save_ngmix_data(self, ngmix_cat_path, moments=False): ngmix_n_epoch = ngmix_cat_file.get_data()["n_epoch_model"] ngmix_mom_fail = ngmix_cat_file.get_data()["moments_fail"] + n_obj = len(self._obj_id) + self._w_log.info(f"writing ngmix info for {n_obj} objects") + if moments: m = "m" else: @@ -307,8 +311,8 @@ def _save_ngmix_data(self, ngmix_cat_path, moments=False): ngmix_mcal_flags = ngmix_cat_file.get_data()["mcal_flags"] ngmix_id = ngmix_cat_file.get_data()["id"] - self._add2dict("NGMIX_N_EPOCH", np.zeros(len(self._obj_id))) - self._add2dict("NGMIX_MOM_FAIL", np.zeros(len(self._obj_id))) + self._add2dict("NGMIX_N_EPOCH", np.zeros(n_obj) + self._add2dict("NGMIX_MOM_FAIL", np.zeros(n_obj)) prefix = f"NGMIX{m}" @@ -321,20 +325,20 @@ def _save_ngmix_data(self, ngmix_cat_path, moments=False): f"{prefix}_FLAGS_", f"{prefix}_T_PSFo_", ): - self._update_dict(key_str, np.zeros(len(self._obj_id))) + self._update_dict(key_str, np.zeros(n_obj) for key_str in (f"NGMIX{m}_FLUX_ERR_", f"NGMIX{m}_MAG_ERR_"): - self._update_dict(key_str, np.ones(len(self._obj_id)) * -1) + self._update_dict(key_str, np.ones(n_obj) * -1) for key_str in ( f"NGMIX{m}_ELL_", f"NGMIX{m}_ELL_ERR_", f"NGMIX{m}_ELL_PSFo_", ): - self._update_dict(key_str, np.ones((len(self._obj_id), 2)) * -10.0) + self._update_dict(key_str, np.ones((n_obj, 2)) * -10.0) self._update_dict( f"NGMIX{m}_T_ERR_", np.ones(len(self._obj_id)) * 1e30, ) - self._add2dict(f"NGMIX{m}_MCAL_FLAGS", np.zeros(len(self._obj_id))) + self._add2dict(f"NGMIX{m}_MCAL_FLAGS", np.zeros(n_obj)) for idx, _ in enumerate(self._obj_id): for key in self._key_ends: @@ -428,6 +432,7 @@ def _save_galsim_shapes(self, galsim_cat_path): self._key_ends = galsim_cat_file.get_ext_name()[1:] galsim_id = galsim_cat_file.get_data()["id"] + n_obj = len(self._obj_id) for key_str in ( "GALSIM_GAL_SIGMA_", @@ -435,19 +440,19 @@ def _save_galsim_shapes(self, galsim_cat_path): "GALSIM_FLUX_", "GALSIM_MAG_", ): - self._update_dict(key_str, np.zeros(len(self._obj_id))) + self._update_dict(key_str, np.zeros(n_obj)) for key_str in ("GALSIM_FLUX_ERR_", "GALSIM_MAG_ERR_", "GALSIM_RES_"): - self._update_dict(key_str, np.ones(len(self._obj_id)) * -1) + self._update_dict(key_str, np.ones(n_obj) * -1) for key_str in ( "GALSIM_GAL_ELL_", "GALSIM_GAL_ELL_ERR_", "GALSIM_GAL_ELL_UNCORR_", "GALSIM_PSF_ELL_", ): - self._update_dict(key_str, np.ones((len(self._obj_id), 2)) * -10.0) + self._update_dict(key_str, np.ones((n_obj, 2)) * -10.0) self._update_dict( "GALSIM_FLAGS_", - np.ones(len(self._obj_id), dtype="int16"), + np.ones(n_obj, dtype="int16"), ) for idx, id_tmp in enumerate(self._obj_id): @@ -540,13 +545,13 @@ def _save_psf_data(self, galaxy_psf_path): max_epoch = np.max(self.final_cat_file.get_data()["N_EPOCH"]) + 1 self._output_dict = { - f"PSF_ELL_{idx + 1}": np.ones((len(self._obj_id), 2)) * -10.0 + f"PSF_ELL_{idx + 1}": np.ones((n_obj, 2)) * -10.0 for idx in range(max_epoch) } self._output_dict = { **self._output_dict, **{ - f"PSF_FWHM_{idx + 1}": np.zeros(len(self._obj_id)) + f"PSF_FWHM_{idx + 1}": np.zeros(n_obj) for idx in range(max_epoch) }, } From 18eb3630c7cb73b0e5a6cba257de3ea14663e44c Mon Sep 17 00:00:00 2001 From: Martin Kilbinger Date: Wed, 12 Feb 2025 08:49:22 +0100 Subject: [PATCH 215/217] Update make_cat_runner.pyad added back w_log --- shapepipe/modules/make_cat_runner.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/shapepipe/modules/make_cat_runner.py b/shapepipe/modules/make_cat_runner.py index 17ead7f05..7eb231e9d 100644 --- a/shapepipe/modules/make_cat_runner.py +++ b/shapepipe/modules/make_cat_runner.py @@ -111,7 +111,7 @@ def make_cat_runner( ) # Save shape data - sc_inst = make_cat.SaveCatalogue(final_cat_file) + sc_inst = make_cat.SaveCatalogue(final_cat_file, w_log) w_log.info("Save shape measurement data") for shape_type in shape_type_list: w_log.info(f"Save {shape_type.lower()} data") From c24a74d5218fa925fa7da135c326ed365c6a873c Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Wed, 12 Feb 2025 09:03:32 +0000 Subject: [PATCH 216/217] fixed (again) bugs due to sm optional flags --- .../modules/make_cat_package/make_cat.py | 15 ++++---- shapepipe/modules/make_cat_runner.py | 35 ++++++++++--------- 2 files changed, 27 insertions(+), 23 deletions(-) diff --git a/shapepipe/modules/make_cat_package/make_cat.py b/shapepipe/modules/make_cat_package/make_cat.py index c29191e69..4130a2264 100644 --- a/shapepipe/modules/make_cat_package/make_cat.py +++ b/shapepipe/modules/make_cat_package/make_cat.py @@ -169,7 +169,7 @@ def save_sm_data( Threshold for galaxy selection; object is classified as galaxy if :math:`{\rm class} >` ``gal_thresh`` nobj : int, optional - Number of objects, only used if sexcat_sm_path is ``None`` + Number of objects, only used if sexcat_sm_path is ``-1`` Returns ------- @@ -186,7 +186,7 @@ def save_sm_data( sexcat_sm_file.open() sm = np.copy(sexcat_sm_file.get_data()["SPREAD_MODEL"]) - sm_err = np.copy(sexcat_sm_file.get_data()["SPREADERR_MODEL"] + sm_err = np.copy(sexcat_sm_file.get_data()["SPREADERR_MODEL"]) sexcat_sm_file.close() @@ -207,7 +207,7 @@ def save_sm_data( final_cat_file.close() - return cat_size + return n_obj class SaveCatalogue: @@ -221,13 +221,16 @@ class SaveCatalogue: Final catalogue file name cat_size_target : int target catalogue size + w_log : logging.Logger + Logging instance """ - def __init__(self, final_cat_file, cat_size_target): + def __init__(self, final_cat_file, cat_size_target, w_log): self._final_cat_file = final_cat_file self._cat_size_target = cat_size_target + self._w_log = w_log def process( self, @@ -321,7 +324,7 @@ def _add2dict(self, key, value, index=None): else: self._output_dict[key] = value - def _save_ngmix_data(self, ngmix_cat_path, moments=False, w_log): + def _save_ngmix_data(self, ngmix_cat_path, moments=False): """Save NGMIX Data. Save the NGMIX catalogue into the final one. @@ -374,7 +377,7 @@ def _save_ngmix_data(self, ngmix_cat_path, moments=False, w_log): f"{prefix}_FLAGS_", f"{prefix}_T_PSFo_", ): - self._update_dict(key_str, np.zeros(n_obj) + self._update_dict(key_str, np.zeros(n_obj)) for key_str in (f"NGMIX{m}_FLUX_ERR_", f"NGMIX{m}_MAG_ERR_"): self._update_dict(key_str, np.ones(len(self._obj_id)) * -1) for key_str in ( diff --git a/shapepipe/modules/make_cat_runner.py b/shapepipe/modules/make_cat_runner.py index abc5a03da..47ea57fef 100644 --- a/shapepipe/modules/make_cat_runner.py +++ b/shapepipe/modules/make_cat_runner.py @@ -97,30 +97,31 @@ def make_cat_runner( # Save SExtractor data w_log.info("Save SExtractor data") n_obj = make_cat.save_sextractor_data(final_cat_file, tile_sexcat_path) + cat_size_sextractor = n_obj # Save spread-model data - w_log.info("Save spread-model data") if sexcat_sm_path is None: w_log.info("No sm cat input, setting spread model to 99") - n_obj - make_cat.save_sm_data( - final_cat_file, - sexcat_sm_path, - do_classif, - star_thresh, - gal_thresh, - n_obj=n_obj - ) - - if cat_size_sextractor != cat_size_sm: - raise ValueError( - f"SExtractor catalogue {tile_sexcat_path} has different size" - + f" ({cat_size_sextractor} than spread_model catalogue" - + f" {sexcat_sm_path} ({cat_size_sm})" + else: + w_log.info("Save spread-model data") + cat_size_sm = make_cat.save_sm_data( + final_cat_file, + sexcat_sm_path, + do_classif, + star_thresh, + gal_thresh, + n_obj=n_obj ) + if cat_size_sextractor != cat_size_sm: + w_log( + f"Warnign: SExtractor catalogue {tile_sexcat_path} has different size" + + f" ({cat_size_sextractor} than spread_model catalogue" + + f" {sexcat_sm_path} ({cat_size_sm})" + ) + # Save shape data - sc_inst = make_cat.SaveCatalogue(final_cat_file, cat_size_sextractor) + sc_inst = make_cat.SaveCatalogue(final_cat_file, cat_size_sextractor, w_log) w_log.info("Save shape measurement data") for shape_type in shape_type_list: w_log.info(f"Save {shape_type.lower()} data") From 03b216901c56f9b0b4f048b73a566f6019e5ce2d Mon Sep 17 00:00:00 2001 From: martinkilbinger Date: Wed, 12 Feb 2025 14:00:21 +0000 Subject: [PATCH 217/217] make_cat runner error -> warning if cat size diff --- shapepipe/modules/make_cat_runner.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/shapepipe/modules/make_cat_runner.py b/shapepipe/modules/make_cat_runner.py index 47ea57fef..fa1fc43ff 100644 --- a/shapepipe/modules/make_cat_runner.py +++ b/shapepipe/modules/make_cat_runner.py @@ -139,7 +139,8 @@ def make_cat_runner( file_number_string, ) ) - raise ValueError(err_msg) + #raise ValueError(err_msg) + w_log.info(err_msg) if save_psf: err_msg = sc_inst.process("psf", galaxy_psf_path)