diff --git a/projects/online/apptainer.def b/projects/online/apptainer.def index d8429bf7..3c0656f1 100644 --- a/projects/online/apptainer.def +++ b/projects/online/apptainer.def @@ -17,6 +17,7 @@ mkdir -p /cvmfs /hdfs /gpfs /ceph /hadoop apt-get update apt-get install -y --no-install-recommends git apt-get install -y build-essential +apt-get install -y openssh-client apt-get clean # activate micromamba and create environment from lockfile @@ -26,7 +27,7 @@ micromamba create -p /opt/env -f /opt/aframe/projects/online/conda-lock.yml # install poetry so we can install local deps of deps editably micromamba run -p /opt/env python -m \ pip install --no-build-isolation \ - poetry 'virtualenv==20.26.3' + poetry 'virtualenv==20.29.2' micromamba run -p /opt/env \ poetry config virtualenvs.create false diff --git a/projects/online/conda-lock.yml b/projects/online/conda-lock.yml index 1a8c47ce..59d0fc68 100644 --- a/projects/online/conda-lock.yml +++ b/projects/online/conda-lock.yml @@ -13,7 +13,7 @@ version: 1 metadata: content_hash: - linux-64: 771fdee6e01f740ef6ec103a848b45da5617f3a9e91acaf353f1e5cd7e5a59f9 + linux-64: 69b7a02617d39bdd749929361455090163cc2e87b93fd44449b33da27057ca91 channels: - url: conda-forge used_env_vars: [] @@ -47,6 +47,22 @@ package: sha256: fbe2c5e56a653bebb982eda4876a9178aedfc2b545f25d0ce9c4c0b508253d22 category: main optional: false +- name: anyio + version: 4.8.0 + manager: conda + platform: linux-64 + dependencies: + exceptiongroup: '>=1.0.2' + idna: '>=2.8' + python: '>=3.9' + sniffio: '>=1.1' + typing_extensions: '>=4.5' + url: https://conda.anaconda.org/conda-forge/noarch/anyio-4.8.0-pyhd8ed1ab_0.conda + hash: + md5: 848d25bfbadf020ee4d4ba90e5668252 + sha256: f1455d2953e3eb6d71bc49881c8558d8e01888469dfd21061dd48afb6183e836 + category: main + optional: false - name: argcomplete version: 3.5.2 manager: conda @@ -60,47 +76,60 @@ package: category: main optional: false - name: astropy - version: 6.0.1 + version: 6.1.6 manager: conda platform: linux-64 dependencies: - astropy-iers-data: '>=0.2024.2.26.0.28.55' + __glibc: '>=2.17,<3.0.a0' + astropy-iers-data: '>=0.2024.10.28.0.34.7' importlib-metadata: '' - 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name: backports @@ -135,12 +164,12 @@ package: dependencies: __glibc: '>=2.17,<3.0.a0' libgcc: '>=13' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* - url: https://conda.anaconda.org/conda-forge/linux-64/bcrypt-4.2.1-py39he612d8f_0.conda + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* + url: https://conda.anaconda.org/conda-forge/linux-64/bcrypt-4.2.1-py310h505e2c1_0.conda hash: - md5: 542399b1319079c3387e150067210433 - sha256: fe527dc33e72918366d7512dc46b4be315f1025216a1a34ec3f0453bdafd2b43 + md5: 78aee5a55b7963f14a98f3c7c31dec11 + sha256: 2a238e7816e423d2110fa8d07b51902f00139e819c530cc9941c33ad18ed4e9f category: main optional: false - name: brotli @@ -182,12 +211,12 @@ package: __glibc: '>=2.17,<3.0.a0' libgcc: '>=13' libstdcxx: '>=13' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* - url: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py39hf88036b_2.conda + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* + url: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py310hf71b8c6_2.conda hash: - 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python_abi: 3.9.* - url: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.3.0-py39h74842e3_2.conda + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* + url: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.3.1-py310h3788b33_0.conda hash: - md5: 5645190ef7f6d3aebee71e298dc9677b - sha256: 52207e19ea006c87c3a416a234a34bfee2920f363b91819e89ff5345678d532d + md5: f993b13665fc2bb262b30217c815d137 + sha256: 1b18ebb72fb20b9ece47c582c6112b1d4f0f7deebaa056eada99e1f994e8a81f category: main optional: false - name: crashtest @@ -423,7 +450,7 @@ package: category: main optional: false - name: cryptography - version: 44.0.0 + version: 44.0.1 manager: conda platform: linux-64 dependencies: @@ -431,12 +458,12 @@ package: cffi: '>=1.12' libgcc: '>=13' openssl: '>=3.4.0,<4.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* - url: https://conda.anaconda.org/conda-forge/linux-64/cryptography-44.0.0-py39h7170ec2_0.conda + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* + url: https://conda.anaconda.org/conda-forge/linux-64/cryptography-44.0.1-py310h6c63255_0.conda hash: - 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name: libgcc-ng @@ -1419,10 +1506,10 @@ package: platform: linux-64 dependencies: libgcc: 14.2.0 - url: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-14.2.0-h69a702a_1.conda + url: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-14.2.0-h69a702a_2.conda hash: - md5: e39480b9ca41323497b05492a63bc35b - sha256: 3a76969c80e9af8b6e7a55090088bc41da4cffcde9e2c71b17f44d37b7cb87f7 + md5: a2222a6ada71fb478682efe483ce0f92 + sha256: fb7558c328b38b2f9d2e412c48da7890e7721ba018d733ebdfea57280df01904 category: main optional: false - name: libgfortran @@ -1431,10 +1518,10 @@ package: platform: linux-64 dependencies: libgfortran5: 14.2.0 - url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-14.2.0-h69a702a_1.conda + url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-14.2.0-h69a702a_2.conda hash: - md5: f1fd30127802683586f768875127a987 - sha256: fc9e7f22a17faf74da904ebfc4d88699013d2992e55505e4aa0eb01770290977 + md5: fb54c4ea68b460c278d26eea89cfbcc3 + sha256: e05263e8960da03c341650f2a3ffa4ccae4e111cb198e8933a2908125459e5a6 category: main optional: false - name: libgfortran-ng @@ -1443,10 +1530,10 @@ package: platform: linux-64 dependencies: libgfortran: 14.2.0 - url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-14.2.0-h69a702a_1.conda + url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-14.2.0-h69a702a_2.conda hash: - md5: 0a7f4cd238267c88e5d69f7826a407eb - sha256: 423f1e2403f0c665748e42d335e421e53fd03c08d457cfb6f360d329d9459851 + md5: 4056c857af1a99ee50589a941059ec55 + sha256: 688a5968852e677d2a64974c8869ffb120eac21997ced7d15c599f152ef6857e category: main optional: false - name: libgfortran5 @@ -1454,11 +1541,12 @@ package: manager: conda platform: linux-64 dependencies: + __glibc: '>=2.17,<3.0.a0' libgcc: '>=14.2.0' - url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-14.2.0-hd5240d6_1.conda + url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-14.2.0-hf1ad2bd_2.conda hash: - md5: 9822b874ea29af082e5d36098d25427d - sha256: d149a37ca73611e425041f33b9d8dbed6e52ec506fe8cc1fc0ee054bddeb6d5d + md5: 556a4fdfac7287d349b8f09aba899693 + sha256: c17b7cf3073a1f4e1f34d50872934fa326346e104d3c445abc1e62481ad6085c category: main optional: false - name: libglib @@ -1483,23 +1571,24 @@ package: manager: conda platform: linux-64 dependencies: - _libgcc_mutex: '0.1' - url: https://conda.anaconda.org/conda-forge/linux-64/libgomp-14.2.0-h77fa898_1.conda + __glibc: '>=2.17,<3.0.a0' + url: https://conda.anaconda.org/conda-forge/linux-64/libgomp-14.2.0-h767d61c_2.conda hash: - md5: cc3573974587f12dda90d96e3e55a702 - sha256: 1911c29975ec99b6b906904040c855772ccb265a1c79d5d75c8ceec4ed89cd63 + md5: 06d02030237f4d5b3d9a7e7d348fe3c6 + sha256: 1a3130e0b9267e781b89399580f3163632d59fe5b0142900d63052ab1a53490e category: main optional: false - name: libiconv - version: '1.17' + version: '1.18' manager: conda platform: linux-64 dependencies: - libgcc-ng: '>=12' - url: https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.17-hd590300_2.conda + __glibc: '>=2.17,<3.0.a0' + libgcc: '>=13' + url: https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.18-h4ce23a2_1.conda hash: - md5: d66573916ffcf376178462f1b61c941e - sha256: 8ac2f6a9f186e76539439e50505d98581472fedb347a20e7d1f36429849f05c9 + md5: e796ff8ddc598affdf7c173d6145f087 + sha256: 18a4afe14f731bfb9cf388659994263904d20111e42f841e9eea1bb6f91f4ab4 category: main optional: false - name: libjpeg-turbo @@ -1522,13 +1611,13 @@ package: __glibc: '>=2.17,<3.0.a0' fftw: '>=3.3.10,<4.0a0' gsl: '>=2.7,<2.8.0a0' - hdf5: '>=1.14.4,<1.14.5.0a0' + hdf5: '>=1.14.3,<1.14.4.0a0' libgcc: '>=13' libzlib: '>=1.3.1,<2.0a0' - url: https://conda.anaconda.org/conda-forge/linux-64/liblal-7.6.1-fftw_he2b3613_100.conda + url: https://conda.anaconda.org/conda-forge/linux-64/liblal-7.6.1-fftw_hcbe9c14_100.conda hash: - md5: a7e23c1b432d68780a94ba8f374ff9c5 - sha256: c1b6f5691e874c0fe94763aacae26e9226724fcab2a8a8203e26a4fbae2ae6f1 + md5: 554e9aae3a43164b277d33c8ca4158be + sha256: 0fa386ec61e09def59133f2e8dcfe77158eba2756ced6f04843bdeaab68891ab category: main optional: false - name: liblapack @@ -1537,23 +1626,23 @@ package: platform: linux-64 dependencies: libblas: 3.9.0 - url: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-26_linux64_openblas.conda + url: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-31_h7ac8fdf_openblas.conda hash: - md5: 3792604c43695d6a273bc5faaac47d48 - 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name: libsodium @@ -1641,17 +1730,17 @@ package: category: main optional: false - name: libsqlite - version: 3.48.0 + version: 3.49.1 manager: conda platform: linux-64 dependencies: __glibc: '>=2.17,<3.0.a0' libgcc: '>=13' libzlib: '>=1.3.1,<2.0a0' - url: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.48.0-hee588c1_0.conda + url: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.49.1-hee588c1_1.conda hash: - md5: 84bd1c9a82b455e7a2f390375fb38f90 - sha256: 7bb84f44e1bd756da4a3d0d43308324a5533e6ba9f4772475884bce44d405064 + md5: 73cea06049cc4174578b432320a003b8 + sha256: 7a09eef804ef7cf4d88215c2297eabb72af8ad0bd5b012060111c289f14bbe7d category: main optional: false - name: libssh2 @@ -1674,11 +1763,12 @@ package: manager: conda platform: linux-64 dependencies: + __glibc: '>=2.17,<3.0.a0' libgcc: 14.2.0 - url: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-14.2.0-hc0a3c3a_1.conda + url: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-14.2.0-h8f9b012_2.conda hash: - 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python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* yaml: '>=0.2.5,<0.3.0a0' - url: https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.2-py39h8cd3c5a_1.conda + url: https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.2-py310h89163eb_2.conda hash: - md5: 76e82e62b7bda86a7fceb1f32585abad - sha256: e07299422b0197eba5ceeef4fa76d4ee742a7f0cafcba97b91498b9764e7d990 + md5: fd343408e64cf1e273ab7c710da374db + sha256: 5fba7f5babcac872c72f6509c25331bcfac4f8f5031f0102530a41b41336fce6 category: main optional: false - name: qhull @@ -2583,7 +2689,7 @@ package: category: main optional: false - name: rapidfuzz - version: 3.11.0 + version: 3.12.1 manager: conda platform: linux-64 dependencies: @@ -2591,12 +2697,12 @@ package: libgcc: '>=13' libstdcxx: '>=13' numpy: '' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* - url: https://conda.anaconda.org/conda-forge/linux-64/rapidfuzz-3.11.0-py39hf88036b_0.conda + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* + url: https://conda.anaconda.org/conda-forge/linux-64/rapidfuzz-3.12.1-py310hf71b8c6_0.conda hash: - 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python: '>=3.9' + python: '' rpds-py: '>=0.7.0' typing_extensions: '>=4.4.0' - url: https://conda.anaconda.org/conda-forge/noarch/referencing-0.36.1-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/referencing-0.36.2-pyh29332c3_0.conda hash: - md5: dbb48421efd666ea133c6d5e67291766 - sha256: 55a8c68d75bc70624be9dbd5550d2de0fae295363fb836860a4a5d244a5b088a + md5: 9140f1c09dd5489549c6a33931b943c7 + sha256: e20909f474a6cece176dfc0dc1addac265deb5fa92ea90e975fbca48085b20c3 category: main optional: false - name: regex @@ -2634,12 +2740,12 @@ package: dependencies: __glibc: '>=2.17,<3.0.a0' libgcc: '>=13' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* - url: https://conda.anaconda.org/conda-forge/linux-64/regex-2024.11.6-py39h8cd3c5a_0.conda + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* + url: https://conda.anaconda.org/conda-forge/linux-64/regex-2024.11.6-py310ha75aee5_0.conda hash: - md5: 594b95d10937835bbae307111b7ee65b - sha256: e0972f677b955cadcf5416182b57dba91e5d51ec88f42cf93637574319764e2a + md5: 2a3ef8649e5c64ebbec9536e2fdd856b + sha256: 8a069ced0daa925d464d156a5974b0ba0cf694edcd35e355d8831e634e7c5198 category: main optional: false - name: requests @@ -2701,18 +2807,18 @@ package: category: main optional: false - name: rpds-py - version: 0.22.3 + version: 0.23.1 manager: conda platform: linux-64 dependencies: + python: '' __glibc: '>=2.17,<3.0.a0' libgcc: '>=13' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* - url: https://conda.anaconda.org/conda-forge/linux-64/rpds-py-0.22.3-py39he612d8f_0.conda + python_abi: 3.10.* + url: https://conda.anaconda.org/conda-forge/linux-64/rpds-py-0.23.1-py310hc1293b2_0.conda hash: - md5: f78f4ac18603f12bcabec0219df9ea15 - sha256: c6511ecfa2ed7ee728b58926cfa14b830a7301cd5a0bd9062e6bc085f226ec4d + md5: 55afda712d4c48108d993ded1bd4de9b + sha256: 775f9fe47c18f8c6c4cb706c7837cc04cdc18e6a748fd8964e132d8329975eea category: main optional: false - name: safe-netrc @@ -2728,24 +2834,25 @@ package: category: main optional: false - name: scipy - version: 1.13.1 + version: 1.14.1 manager: conda platform: linux-64 dependencies: + __glibc: '>=2.17,<3.0.a0' libblas: '>=3.9.0,<4.0a0' libcblas: '>=3.9.0,<4.0a0' - libgcc-ng: '>=12' - libgfortran-ng: '' - libgfortran5: '>=12.3.0' + libgcc: '>=13' + libgfortran: '' + libgfortran5: '>=13.3.0' liblapack: '>=3.9.0,<4.0a0' - libstdcxx-ng: '>=12' - numpy: '>=1.19,<3' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* - url: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.13.1-py39haf93ffa_0.conda + libstdcxx: '>=13' + numpy: '>=1.23.5' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* + url: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.14.1-py310hfcf56fc_2.conda hash: - md5: 492a2cd65862d16a4aaf535ae9ccb761 - sha256: 55becd997688a9a499aa553e9e61eb28038ca068929c23f0a973ab9a01ac9eac + md5: b5d548b2a7cf8d0c74fc6c4bf42d1ca5 + sha256: a15008a51fd6b6dcaeb5563869ff0a8a015f1e0a8634a9d89d2c189eefbd7182 category: main optional: false - name: scitokens @@ -2771,12 +2878,12 @@ package: cryptography: '' dbus: '' jeepney: '>=0.6' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* - url: https://conda.anaconda.org/conda-forge/linux-64/secretstorage-3.3.3-py39hf3d152e_3.conda + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* + url: https://conda.anaconda.org/conda-forge/linux-64/secretstorage-3.3.3-py310hff52083_3.conda hash: - md5: 49e960e84cd58e2fdc8bad42f0955a27 - sha256: 02c456dcf6947b25246bb6327012a3c375c7e916e11ca23665427cf98ec5a184 + md5: 3dcf038a7082c5aee9e6126dd8f2d39a + sha256: 6e5de234e690eda6bc09cea8db32344539c80e3d35daa7fda2bd9f8c1007532f category: main optional: false - name: setuptools @@ -2815,6 +2922,18 @@ package: sha256: 41db0180680cc67c3fa76544ffd48d6a5679d96f4b71d7498a759e94edc9a2db category: main optional: false +- name: sniffio + version: 1.3.1 + manager: conda + platform: linux-64 + dependencies: + python: '>=3.9' + url: https://conda.anaconda.org/conda-forge/noarch/sniffio-1.3.1-pyhd8ed1ab_1.conda + hash: + md5: bf7a226e58dfb8346c70df36065d86c9 + sha256: c2248418c310bdd1719b186796ae50a8a77ce555228b6acd32768e2543a15012 + category: main + optional: false - name: tk version: 8.6.13 manager: conda @@ -2866,15 +2985,27 @@ package: category: main optional: false - name: trove-classifiers - version: 2025.1.15.22 + version: 2025.2.18.16 manager: conda platform: linux-64 dependencies: python: '>=3.9' - url: https://conda.anaconda.org/conda-forge/noarch/trove-classifiers-2025.1.15.22-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/trove-classifiers-2025.2.18.16-pyhd8ed1ab_0.conda + hash: + md5: 53dcc12187cd2022735fcb287430562c + sha256: 5c463e88454670a8f2bfcf2add5312668e28b3339ddf86ab08bbb9b7f3eece63 + category: main + optional: false +- name: typing-extensions + version: 4.12.2 + manager: conda + platform: linux-64 + dependencies: + typing_extensions: 4.12.2 + url: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_1.conda hash: - md5: 246846b15ba47e8684a7c88ce1de3e82 - sha256: 4d5b3cebc751b4579eb8c6757a8eb3adac7ee9b146297674bf9958560c2c4fa8 + md5: b6a408c64b78ec7b779a3e5c7a902433 + sha256: c8e9c1c467b5f960b627d7adc1c65fece8e929a3de89967e91ef0f726422fd32 category: main optional: false - name: typing_extensions @@ -2901,16 +3032,16 @@ package: category: main optional: false - name: tzlocal - version: '5.2' + version: '5.3' manager: conda platform: linux-64 dependencies: - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* - url: https://conda.anaconda.org/conda-forge/linux-64/tzlocal-5.2-py39hf3d152e_1.conda + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* + url: https://conda.anaconda.org/conda-forge/linux-64/tzlocal-5.3-py310hff52083_0.conda hash: - md5: cb5dcd6ada16b57ea32cab6002745c6f - sha256: f2b77df30eb9f779b6023a954de62488cc699203a8084de1c18535a45b3edf4f + md5: cc089c3c0a3e67b2886148c4e02bd0cf + sha256: 4ba87dcf6bd32e285b629010830c44e4f45dd32f1646322aa1cf663627613743 category: main optional: false - name: unicodedata2 @@ -2920,12 +3051,12 @@ package: dependencies: __glibc: '>=2.17,<3.0.a0' libgcc: '>=13' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* - url: https://conda.anaconda.org/conda-forge/linux-64/unicodedata2-16.0.0-py39h8cd3c5a_0.conda + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* + url: https://conda.anaconda.org/conda-forge/linux-64/unicodedata2-16.0.0-py310ha75aee5_0.conda hash: - md5: 2011fcaddafa077f4f0313361f4c2731 - sha256: 75836be77717125151b2473c7c4309ac73061cb6dd7a77a4c42e937d821eed26 + md5: 1d7a4b9202cdd10d56ecdd7f6c347190 + sha256: 0468c864c60190fdb94b4705bca618e77589d5cb9fa096de47caccd1f22b0b54 category: main optional: false - name: urllib3 @@ -2957,7 +3088,7 @@ package: category: main optional: false - name: virtualenv - version: 20.29.1 + version: 20.29.2 manager: conda platform: linux-64 dependencies: @@ -2965,10 +3096,10 @@ package: filelock: '>=3.12.2,<4' platformdirs: '>=3.9.1,<5' python: '>=3.9' - url: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.29.1-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.29.2-pyhd8ed1ab_0.conda hash: - md5: de06336c9833cffd2a4bd6f27c4cf8ea - sha256: f09a9f2034669762ae875858253d472588f03689843e5f0b8ddc5cc48a1d0e50 + md5: d8a3ee355d5ecc9ee2565cafba1d3573 + sha256: c50a4ab0f5f1164230d42a29f12f61ece9c7b102f57ed1c607d2cd7c77e107b5 category: main optional: false - name: wheel @@ -3041,13 +3172,13 @@ package: __glibc: '>=2.17,<3.0.a0' cffi: '>=1.11' libgcc: '>=13' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* zstd: '>=1.5.6,<1.6.0a0' - url: https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.23.0-py39h08a7858_1.conda + url: https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.23.0-py310ha39cb0e_1.conda hash: - md5: cd9fa334e11886738f17254f52210bc3 - sha256: 76a45ef349517eaab1492f17f9c807ccbf1971961c6e90d454fbedbed7e257ad + md5: f49de34fb99934bf49ab330b5caffd64 + sha256: fcd784735205d6c5f19dcb339f92d2eede9bc42a01ec2c384381ee1b6089d4f6 category: main optional: false - name: zstd diff --git a/projects/online/config.yaml b/projects/online/config.yaml index 99f4cc69..27901971 100644 --- a/projects/online/config.yaml +++ b/projects/online/config.yaml @@ -22,6 +22,7 @@ amplfi_architecture: amplfi_weights: ${oc.env:AMPLFI_WEIGHTS} ifos: ["H1", "L1"] channels: ["H1:GDS-CALIB_STRAIN", "L1:GDS-CALIB_STRAIN"] +data_source: "frames" sample_rate: 2048 astro_event_rate: 31 kernel_length: 1.5 diff --git a/projects/online/environment.yaml b/projects/online/environment.yaml index 4eb73b6e..70cc738d 100644 --- a/projects/online/environment.yaml +++ b/projects/online/environment.yaml @@ -3,11 +3,11 @@ channels: - conda-forge dependencies: # python/env dependencies - - python=3.9 + - python=3.10 - pip - poetry - jsonargparse - - scipy + - scipy=<1.15 - h5py # general GW - healpy diff --git a/projects/online/online/main.py b/projects/online/online/main.py index 696926fc..882eda82 100644 --- a/projects/online/online/main.py +++ b/projects/online/online/main.py @@ -12,6 +12,7 @@ from online.utils.buffer import InputBuffer, OutputBuffer from online.utils.dataloading import data_iterator from online.utils.gdb import GdbServer, GraceDb, authenticate, gracedb_factory +from online.utils.ngdd import data_iterator as ngdd_data_iterator from online.utils.pastro import fit_or_load_pastro from online.utils.pe import run_amplfi from online.utils.searcher import Event, Searcher @@ -21,15 +22,11 @@ if TYPE_CHECKING: from pastro.pastro import Pastro - -# seconds of data per update -UPDATE_SIZE = 1 - SECONDS_PER_DAY = 86400 def load_model(model: Architecture, weights: Path): - checkpoint = torch.load(weights, map_location="cpu") + checkpoint = torch.load(weights, map_location="cpu", weights_only=False) arch_weights = { k[6:]: v for k, v in checkpoint["state_dict"].items() @@ -144,6 +141,7 @@ def search( amplfi: Architecture, pastro_model: "Pastro", data_it: Iterable[Tuple[torch.Tensor, float, bool]], + update_size: float, time_offset: float, samples_per_event: int, inference_params: List[str], @@ -167,7 +165,7 @@ def search( # we won't get to see the peak of the event # so build the event with what we have event = searcher.build_event( - integrated[-1], t0 - 1, len(integrated) - 1 + integrated[-1], t0 - update_size, len(integrated) - 1 ) if event is not None: # maybe process event found in the previous frame @@ -229,6 +227,7 @@ def search( # whiten the batch, and analyze with aframe whitened = whitener(batch) + y = aframe(whitened)[:, 0] # update our input buffer with latest strain data, @@ -246,6 +245,7 @@ def search( # if we found an event, process it! if event is not None: + logging.info("Found event") process_event( event, gdb, @@ -262,7 +262,6 @@ def search( device, ) searcher.detecting = False - # TODO write buffers to disk: @@ -288,6 +287,7 @@ def main( fduration: float, integration_window_length: float, astro_event_rate: float, + data_source: str = "frames", fftlength: Optional[float] = None, highpass: Optional[float] = None, lowpass: Optional[float] = None, @@ -387,6 +387,28 @@ def main( gdb = gracedb_factory(server, outdir) + if data_source == "ngdd": + update_size = 1 / 16 + data_it = ngdd_data_iterator( + strain_channels=channels, + ifos=ifos, + sample_rate=sample_rate, + ) + elif data_source == "frames": + update_size = 1 + data_it = data_iterator( + datadir=datadir, + channels=channels, + ifos=ifos, + sample_rate=sample_rate, + ifo_suffix=ifo_suffix, + timeout=10, + ) + else: + raise ValueError( + f"Invalid data source {data_source}. Must be 'ngdd' or 'frames'" + ) + # initialize a buffer for storing recent strain data, # and for storing integrated aframe outputs input_buffer = InputBuffer( @@ -424,7 +446,7 @@ def main( kernel_length=kernel_length, sample_rate=sample_rate, inference_sampling_rate=inference_sampling_rate, - batch_size=UPDATE_SIZE * inference_sampling_rate, + batch_size=update_size * inference_sampling_rate, fduration=fduration, fftlength=fftlength, highpass=highpass, @@ -432,7 +454,7 @@ def main( ).to(device) snapshotter = OnlineSnapshotter( - update_size=UPDATE_SIZE, + update_size=update_size, num_channels=len(ifos), psd_length=psd_length, kernel_length=kernel_length, @@ -500,16 +522,6 @@ def main( aframe_right_pad, ) - data_it = data_iterator( - datadir=datadir, - channels=channels, - ifos=ifos, - sample_rate=sample_rate, - ifo_suffix=ifo_suffix, - timeout=10, - ) - - logging.info("Beginning search") search( gdb=gdb, pe_whitener=pe_whitener, @@ -524,6 +536,7 @@ def main( amplfi=amplfi, pastro_model=pastro_model, data_it=data_it, + update_size=update_size, time_offset=time_offset, samples_per_event=samples_per_event, inference_params=inference_params, diff --git a/projects/online/online/utils/ngdd.py b/projects/online/online/utils/ngdd.py new file mode 100644 index 00000000..329bf973 --- /dev/null +++ b/projects/online/online/utils/ngdd.py @@ -0,0 +1,56 @@ +# import logging +from typing import List + +import arrakis +import numpy as np +import torch +from scipy.signal import resample + +STRAIN_SAMPLE_RATE = 16384 +BLOCK_DURATION = 1 / 16 +BLOCK_SIZE = int(BLOCK_DURATION * STRAIN_SAMPLE_RATE) + + +def data_iterator( + strain_channels: List[str], + ifos: List[str], + sample_rate: float, +) -> torch.Tensor: + state_channels = [f"{ifo}:GDS-CALIB_STATE_VECTOR" for ifo in ifos] + channels = strain_channels + state_channels + block_buffer = np.zeros((len(ifos), 0)) + # Blocks delivered in 16th of a second intervals + crop_size = int(sample_rate * BLOCK_DURATION) + slc = slice(-2 * crop_size, -crop_size) + last_ready = True + for block in arrakis.stream(channels): + ready = True + for channel in state_channels: + state_vector = block[channel].data + ifo_ready = ((state_vector & 3) == 3).all() + # Not sure we want to be logging every 16th of a second + # if not ifo_ready: + # logging.warning(f"IFO {channel[:2]} not analysis ready") + ready &= ifo_ready + + strain_data = np.stack( + [block[channel].data for channel in strain_channels] + ) + block_buffer = np.append(block_buffer, strain_data, axis=1) + dur = block_buffer.shape[-1] / STRAIN_SAMPLE_RATE + # Need at least 3 blocks to be able to crop out edge effects + # from resampling and just yield the middle second + if dur >= 3 * BLOCK_DURATION: + x = resample( + block_buffer, + int(sample_rate * dur), + axis=1, + window="hann", + ) + x = x[:, slc] + block_buffer = block_buffer[:, BLOCK_SIZE:] + yield torch.Tensor(x).double(), float( + block.t0 - BLOCK_DURATION + ), last_ready + + last_ready = ready diff 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[package.extras] @@ -4921,13 +4895,13 @@ test = ["pytest"] [[package]] name = "setuptools" -version = "75.8.0" +version = "75.8.1" description = "Easily download, build, install, upgrade, and uninstall Python packages" optional = false python-versions = ">=3.9" files = [ - {file = "setuptools-75.8.0-py3-none-any.whl", hash = "sha256:e3982f444617239225d675215d51f6ba05f845d4eec313da4418fdbb56fb27e3"}, - {file = "setuptools-75.8.0.tar.gz", hash = "sha256:c5afc8f407c626b8313a86e10311dd3f661c6cd9c09d4bf8c15c0e11f9f2b0e6"}, + {file = "setuptools-75.8.1-py3-none-any.whl", hash = "sha256:3bc32c0b84c643299ca94e77f834730f126efd621de0cc1de64119e0e17dab1f"}, + {file = "setuptools-75.8.1.tar.gz", hash = "sha256:65fb779a8f28895242923582eadca2337285f0891c2c9e160754df917c3d2530"}, ] [package.extras] @@ -5424,6 +5398,21 @@ platformdirs = ">=3.9.1,<5" docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier 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