From a615eaa78444fbf6be25711e7e11ddf70ad74dee Mon Sep 17 00:00:00 2001 From: mxochicale Date: Sun, 5 Nov 2023 19:37:29 +0000 Subject: [PATCH 01/14] adds readme and demo codespaces/ #49 --- codespaces/README.md | 12 ++++++++ codespaces/demo.ipynb | 68 +++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 80 insertions(+) create mode 100644 codespaces/README.md create mode 100644 codespaces/demo.ipynb diff --git a/codespaces/README.md b/codespaces/README.md new file mode 100644 index 0000000..02e2357 --- /dev/null +++ b/codespaces/README.md @@ -0,0 +1,12 @@ +# Codespaces + + + + +## References +https://www.sckaiser.com/blog/2023/01/30/conda-codespaces.html +https://github.com/crazy4pi314/conda-devcontainer-demo +https://blog.shibayan.jp/entry/20220309/1646754054 +https://www.youtube.com/watch?v=RIchFX_gYb0 +https://github.com/microsoft/AI-For-Beginners/blob/main/.devcontainer/Dockerfile + diff --git a/codespaces/demo.ipynb b/codespaces/demo.ipynb new file mode 100644 index 0000000..32c6711 --- /dev/null +++ b/codespaces/demo.ipynb @@ -0,0 +1,68 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The Zen of Python, by Tim Peters\n", + "\n", + "Beautiful is better than ugly.\n", + "Explicit is better than implicit.\n", + "Simple is better than complex.\n", + "Complex is better than complicated.\n", + "Flat is better than nested.\n", + "Sparse is better than dense.\n", + "Readability counts.\n", + "Special cases aren't special enough to break the rules.\n", + "Although practicality beats purity.\n", + "Errors should never pass silently.\n", + "Unless explicitly silenced.\n", + "In the face of ambiguity, refuse the temptation to guess.\n", + "There should be one-- and preferably only one --obvious way to do it.\n", + "Although that way may not be obvious at first unless you're Dutch.\n", + "Now is better than never.\n", + "Although never is often better than *right* now.\n", + "If the implementation is hard to explain, it's a bad idea.\n", + "If the implementation is easy to explain, it may be a good idea.\n", + "Namespaces are one honking great idea -- let's do more of those!\n" + ] + } + ], + "source": [ + "import this" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "codespaces-mini", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.0 | packaged by conda-forge | (main, Jan 14 2023, 12:27:40) [GCC 11.3.0]" + }, + "orig_nbformat": 4, + "vscode": { + "interpreter": { + "hash": "f4b37608c0d33d1ba3090d32b4ab60115652e67895fd9c6cef7ce90365731746" + } + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From bd0354fdf1151cd39d3ef4eeb3110f084b10a4aa Mon Sep 17 00:00:00 2001 From: mxochicale Date: Sun, 5 Nov 2023 19:58:12 +0000 Subject: [PATCH 02/14] adds details to create codespaces #49 --- codespaces/README.md | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/codespaces/README.md b/codespaces/README.md index 02e2357..1ce1736 100644 --- a/codespaces/README.md +++ b/codespaces/README.md @@ -2,6 +2,18 @@ +## Creating for the first time + +### Create codespaces +1. Select branch +2. Go to Code> create codespace on `branch-name` + +### Create python +1. `Install enable suggested extensions Python + Jupyter` +2. `Python` +3. Python env +4. pythonm 3.11 + ## References https://www.sckaiser.com/blog/2023/01/30/conda-codespaces.html From f471543dcd9cd52874c06e48ab5c4a99fc7b9a17 Mon Sep 17 00:00:00 2001 From: "Miguel Xochicale, PhD" Date: Sun, 5 Nov 2023 20:24:53 +0000 Subject: [PATCH 03/14] adds config template files #49 --- .devcontainer/Dockerfile | 16 ++++++++++++++++ .devcontainer/devcontainer.json | 24 ++++++++++++++++++++++++ .devcontainer/noop.txt | 3 +++ 3 files changed, 43 insertions(+) create mode 100644 .devcontainer/Dockerfile create mode 100644 .devcontainer/devcontainer.json create mode 100644 .devcontainer/noop.txt diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile new file mode 100644 index 0000000..0e8a64a --- /dev/null +++ b/.devcontainer/Dockerfile @@ -0,0 +1,16 @@ +FROM mcr.microsoft.com/devcontainers/miniconda:0-3 + +# Copy environment.yml (if found) to a temp location so we update the environment. Also +# copy "noop.txt" so the COPY instruction does not fail if no environment.yml exists. +COPY environment.yml* .devcontainer/noop.txt /tmp/conda-tmp/ +RUN if [ -f "/tmp/conda-tmp/environment.yml" ]; then umask 0002 && /opt/conda/bin/conda env update -n base -f /tmp/conda-tmp/environment.yml; fi \ + && rm -rf /tmp/conda-tmp + +# [Optional] Uncomment to install a different version of Python than the default +# RUN conda install -y python=3.6 \ +# && pip install --no-cache-dir pipx \ +# && pipx reinstall-all + +# [Optional] Uncomment this section to install additional OS packages. +# RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \ +# && apt-get -y install --no-install-recommends diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json new file mode 100644 index 0000000..43d26c5 --- /dev/null +++ b/.devcontainer/devcontainer.json @@ -0,0 +1,24 @@ +// For format details, see https://aka.ms/devcontainer.json. For config options, see the +// README at: https://github.com/devcontainers/templates/tree/main/src/miniconda +{ + "name": "Miniconda (Python 3)", + "build": { + "context": "..", + "dockerfile": "Dockerfile" + } + + // Features to add to the dev container. More info: https://containers.dev/features. + // "features": {}, + + // Use 'forwardPorts' to make a list of ports inside the container available locally. + // "forwardPorts": [], + + // Use 'postCreateCommand' to run commands after the container is created. + // "postCreateCommand": "python --version", + + // Configure tool-specific properties. + // "customizations": {}, + + // Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root. + // "remoteUser": "root" +} diff --git a/.devcontainer/noop.txt b/.devcontainer/noop.txt new file mode 100644 index 0000000..abee195 --- /dev/null +++ b/.devcontainer/noop.txt @@ -0,0 +1,3 @@ +This file is copied into the container along with environment.yml* from the +parent folder. This is done to prevent the Dockerfile COPY instruction from +failing if no environment.yml is found. \ No newline at end of file From 2058c74080762455adad02622fbd8c6a5cea295e Mon Sep 17 00:00:00 2001 From: mxochicale Date: Sun, 5 Nov 2023 20:37:08 +0000 Subject: [PATCH 04/14] adds .devcontainer/environment.yml in .devcontainer/Dockerfile #49 --- .devcontainer/Dockerfile | 2 +- .devcontainer/environment.yml | 9 +++++++++ codespaces/README.md | 25 ++++++++++++++++++++++++- 3 files changed, 34 insertions(+), 2 deletions(-) create mode 100644 .devcontainer/environment.yml diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile index 0e8a64a..580a519 100644 --- a/.devcontainer/Dockerfile +++ b/.devcontainer/Dockerfile @@ -2,7 +2,7 @@ FROM mcr.microsoft.com/devcontainers/miniconda:0-3 # Copy environment.yml (if found) to a temp location so we update the environment. Also # copy "noop.txt" so the COPY instruction does not fail if no environment.yml exists. -COPY environment.yml* .devcontainer/noop.txt /tmp/conda-tmp/ +COPY .devcontainer/environment.yml* .devcontainer/noop.txt /tmp/conda-tmp/ RUN if [ -f "/tmp/conda-tmp/environment.yml" ]; then umask 0002 && /opt/conda/bin/conda env update -n base -f /tmp/conda-tmp/environment.yml; fi \ && rm -rf /tmp/conda-tmp diff --git a/.devcontainer/environment.yml b/.devcontainer/environment.yml new file mode 100644 index 0000000..5170a7c --- /dev/null +++ b/.devcontainer/environment.yml @@ -0,0 +1,9 @@ +name: default +channels: + - conda-forge + - default +dependencies: + - python==3.9.* + - pip + - pip: + - opencv-python-headless diff --git a/codespaces/README.md b/codespaces/README.md index 1ce1736..b35f376 100644 --- a/codespaces/README.md +++ b/codespaces/README.md @@ -7,6 +7,25 @@ ### Create codespaces 1. Select branch 2. Go to Code> create codespace on `branch-name` +3. `New with options` + + +## predefined dev container configuration + +1. Access the Visual Studio Code Command Palette (Shift+Command+P / Ctrl+Shift+P), then start typing "add dev". +Click Codespaces: Add Dev Container Configuration Files. +2. Create a new config file +3. Select container conf template: Miniconda (Python3) +4. Select additional feature `Nothing` + + +Creates: solid guacamole +In the terminal: +``` +conda info +conda env list +``` + ### Create python 1. `Install enable suggested extensions Python + Jupyter` @@ -15,10 +34,14 @@ 4. pythonm 3.11 + + + + ## References https://www.sckaiser.com/blog/2023/01/30/conda-codespaces.html https://github.com/crazy4pi314/conda-devcontainer-demo https://blog.shibayan.jp/entry/20220309/1646754054 https://www.youtube.com/watch?v=RIchFX_gYb0 https://github.com/microsoft/AI-For-Beginners/blob/main/.devcontainer/Dockerfile - +* Prebuild configuration: https://github.com/mxochicale/code/settings/codespaces From 13b16cb88f9c8f915595dd7821001bed46231e00 Mon Sep 17 00:00:00 2001 From: "Miguel Xochicale, PhD" Date: Sun, 5 Nov 2023 22:09:51 +0000 Subject: [PATCH 05/14] working settings #49 --- .devcontainer/Dockerfile | 2 +- .devcontainer/devcontainer.json | 22 +++++++++++++++++++++- .devcontainer/environment.yml | 4 ++-- codespaces/demo.ipynb | 2 +- codespaces/demo.py | 9 +++++++++ 5 files changed, 34 insertions(+), 5 deletions(-) create mode 100644 codespaces/demo.py diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile index 580a519..2874586 100644 --- a/.devcontainer/Dockerfile +++ b/.devcontainer/Dockerfile @@ -3,7 +3,7 @@ FROM mcr.microsoft.com/devcontainers/miniconda:0-3 # Copy environment.yml (if found) to a temp location so we update the environment. Also # copy "noop.txt" so the COPY instruction does not fail if no environment.yml exists. COPY .devcontainer/environment.yml* .devcontainer/noop.txt /tmp/conda-tmp/ -RUN if [ -f "/tmp/conda-tmp/environment.yml" ]; then umask 0002 && /opt/conda/bin/conda env update -n base -f /tmp/conda-tmp/environment.yml; fi \ +RUN if [ -f "/tmp/conda-tmp/environment.yml" ]; then umask 0002 && /opt/conda/bin/conda env create -f /tmp/conda-tmp/environment.yml; fi \ && rm -rf /tmp/conda-tmp # [Optional] Uncomment to install a different version of Python than the default diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json index 43d26c5..7736c1d 100644 --- a/.devcontainer/devcontainer.json +++ b/.devcontainer/devcontainer.json @@ -5,7 +5,7 @@ "build": { "context": "..", "dockerfile": "Dockerfile" - } + }, // Features to add to the dev container. More info: https://containers.dev/features. // "features": {}, @@ -21,4 +21,24 @@ // Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root. // "remoteUser": "root" + + // Use 'postCreateCommand' to run commands after the container is created. + "postCreateCommand": "conda init", + + // Configure tool-specific properties. + "customizations": { + "vscode": { + "settings": { + "python.defaultInterpreterPath": "/opt/conda/envs/demo" + }, + "extensions": [ + // "ms-python.python", + // "donjayamanne.python-extension-pack", + // "ms-toolsai.jupyter", + // "GitHub.codespaces", + // "ms-azuretools.vscode-docker", + // "UserName.vscode-markdownlint" + ] + } + } } diff --git a/.devcontainer/environment.yml b/.devcontainer/environment.yml index 5170a7c..92013b7 100644 --- a/.devcontainer/environment.yml +++ b/.devcontainer/environment.yml @@ -1,9 +1,9 @@ -name: default +name: demo channels: - conda-forge - default dependencies: - - python==3.9.* + - python==3.11.* - pip - pip: - opencv-python-headless diff --git a/codespaces/demo.ipynb b/codespaces/demo.ipynb index 32c6711..f7187e6 100644 --- a/codespaces/demo.ipynb +++ b/codespaces/demo.ipynb @@ -34,7 +34,7 @@ } ], "source": [ - "import this" + "import cv2" ] } ], diff --git a/codespaces/demo.py b/codespaces/demo.py new file mode 100644 index 0000000..4370a7e --- /dev/null +++ b/codespaces/demo.py @@ -0,0 +1,9 @@ + +# https://blog.shibayan.jp/entry/20220309/1646754054 + +import cv2 +print(cv2.__version__) + +source_image = cv2.imread('shibayan.png') +gray_image = cv2.cvtColor(source_image, cv2.COLOR_BGR2GRAY) +cv2.imwrite('output.png', gray_image) \ No newline at end of file From d9fd83631a16f850ae55d6d774b1c5a2418bfee4 Mon Sep 17 00:00:00 2001 From: "Miguel Xochicale, PhD" Date: Sun, 5 Nov 2023 22:24:50 +0000 Subject: [PATCH 06/14] adds ipykernel to test demo.ipynb --- .devcontainer/environment.yml | 1 + codespaces/demo.ipynb | 9 +++++++-- 2 files changed, 8 insertions(+), 2 deletions(-) diff --git a/.devcontainer/environment.yml b/.devcontainer/environment.yml index 92013b7..92b2759 100644 --- a/.devcontainer/environment.yml +++ b/.devcontainer/environment.yml @@ -7,3 +7,4 @@ dependencies: - pip - pip: - opencv-python-headless + - ipykernel # required for jupyter notebook in VS Code \ No newline at end of file diff --git a/codespaces/demo.ipynb b/codespaces/demo.ipynb index f7187e6..9e17132 100644 --- a/codespaces/demo.ipynb +++ b/codespaces/demo.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -34,7 +34,12 @@ } ], "source": [ - "import cv2" + "import cv2\n", + "print(cv2.__version__)\n", + "\n", + "# source_image = cv2.imread('shibayan.png')\n", + "# gray_image = cv2.cvtColor(source_image, cv2.COLOR_BGR2GRAY)\n", + "# cv2.imwrite('output.png', gray_image)" ] } ], From 49c924d06239e1c474e7994d52109b50cf945a43 Mon Sep 17 00:00:00 2001 From: "Miguel Xochicale, PhD" Date: Sun, 5 Nov 2023 23:34:21 +0000 Subject: [PATCH 07/14] matplotlib, fig to run demo.ipynb #49 --- .devcontainer/environment.yml | 3 +- codespaces/README.md | 21 +++--- .../can-cats-eat-avocado-as-a-snack.png | Bin 0 -> 571039 bytes codespaces/demo.ipynb | 70 +++++++++++------- 4 files changed, 55 insertions(+), 39 deletions(-) create mode 100644 codespaces/can-cats-eat-avocado-as-a-snack.png diff --git a/.devcontainer/environment.yml b/.devcontainer/environment.yml index 92b2759..5d9bffc 100644 --- a/.devcontainer/environment.yml +++ b/.devcontainer/environment.yml @@ -7,4 +7,5 @@ dependencies: - pip - pip: - opencv-python-headless - - ipykernel # required for jupyter notebook in VS Code \ No newline at end of file + - ipykernel # required for jupyter notebook in VS Code + - matplotlib \ No newline at end of file diff --git a/codespaces/README.md b/codespaces/README.md index b35f376..d34f6da 100644 --- a/codespaces/README.md +++ b/codespaces/README.md @@ -19,23 +19,20 @@ Click Codespaces: Add Dev Container Configuration Files. 4. Select additional feature `Nothing` -Creates: solid guacamole +Creates: solid guacamole https://github.com/codespaces/solid-guacamole-5gqwv79vg77274jg In the terminal: ``` conda info conda env list ``` - -### Create python -1. `Install enable suggested extensions Python + Jupyter` -2. `Python` -3. Python env -4. pythonm 3.11 - - - - +## Running demo scripts +* Activate solid guacamole https://github.com/codespaces/solid-guacamole-5gqwv79vg77274jg +* Select Kernel +* `Install enable suggested extensions Python + Jupyter` +* Python environment +* demo (Python VERSION) /opt/conda/envs/demo/bin/python +* Run notebook ## References @@ -45,3 +42,5 @@ https://blog.shibayan.jp/entry/20220309/1646754054 https://www.youtube.com/watch?v=RIchFX_gYb0 https://github.com/microsoft/AI-For-Beginners/blob/main/.devcontainer/Dockerfile * Prebuild configuration: https://github.com/mxochicale/code/settings/codespaces +* https://docs.github.com/en/codespaces/setting-up-your-project-for-codespaces/adding-a-dev-container-configuration/introduction-to-dev-containers#using-a-predefined-dev-container-configuration + diff --git a/codespaces/can-cats-eat-avocado-as-a-snack.png b/codespaces/can-cats-eat-avocado-as-a-snack.png new file mode 100644 index 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zAGF*>4tm&ikNx?dF!UzNJfPFto+589(UkpV#6kI7()c_c&UG&&wa literal 0 HcmV?d00001 diff --git a/codespaces/demo.ipynb b/codespaces/demo.ipynb index 9e17132..b4a0b40 100644 --- a/codespaces/demo.ipynb +++ b/codespaces/demo.ipynb @@ -2,44 +2,60 @@ "cells": [ { "cell_type": "code", - "execution_count": null, + "execution_count": 34, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "The Zen of Python, by Tim Peters\n", - "\n", - "Beautiful is better than ugly.\n", - "Explicit is better than implicit.\n", - "Simple is better than complex.\n", - "Complex is better than complicated.\n", - "Flat is better than nested.\n", - "Sparse is better than dense.\n", - "Readability counts.\n", - "Special cases aren't special enough to break the rules.\n", - "Although practicality beats purity.\n", - "Errors should never pass silently.\n", - "Unless explicitly silenced.\n", - "In the face of ambiguity, refuse the temptation to guess.\n", - "There should be one-- and preferably only one --obvious way to do it.\n", - "Although that way may not be obvious at first unless you're Dutch.\n", - "Now is better than never.\n", - "Although never is often better than *right* now.\n", - "If the implementation is hard to explain, it's a bad idea.\n", - "If the implementation is easy to explain, it may be a good idea.\n", - "Namespaces are one honking great idea -- let's do more of those!\n" + "cv2: 4.8.1\n", + "matplotlib: 3.8.1\n" ] } ], "source": [ + "# https://blog.shibayan.jp/entry/20220309/1646754054\n", + "# https://www.thedodo.com/dodowell/can-cats-eat-avocados\n", "import cv2\n", - "print(cv2.__version__)\n", + "import matplotlib \n", + "import matplotlib.pyplot as plt\n", "\n", - "# source_image = cv2.imread('shibayan.png')\n", - "# gray_image = cv2.cvtColor(source_image, cv2.COLOR_BGR2GRAY)\n", - "# cv2.imwrite('output.png', gray_image)" + "print(f'cv2: {cv2.__version__}')\n", + "print(f'matplotlib: {matplotlib.__version__}')" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "source_image = cv2.imread('can-cats-eat-avocado-as-a-snack.png')\n", + "gray_image = cv2.cvtColor(source_image, cv2.COLOR_BGR2GRAY)\n", + "\n", + "plt.figure(figsize = (8,4))\n", + "plt.subplot(1,2,1)\n", + "plt.imshow(source_image)\n", + "# plt.title('my picture')\n", + "plt.colorbar()\n", + "\n", + "plt.subplot(1,2,2)\n", + "plt.imshow(gray_image)\n", + "# plt.title('my picture')\n", + "plt.colorbar()\n", + "plt.show()\n" ] } ], @@ -59,7 +75,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.0 | packaged by conda-forge | (main, Jan 14 2023, 12:27:40) [GCC 11.3.0]" + "version": "3.11.6" }, "orig_nbformat": 4, "vscode": { From 1e692a4622a6522227f5f7881288fd0a8a14433d Mon Sep 17 00:00:00 2001 From: mxochicale Date: Sat, 2 Dec 2023 04:27:46 +0000 Subject: [PATCH 08/14] adds links for new starters #49 --- codespaces/README.md | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/codespaces/README.md b/codespaces/README.md index d34f6da..693c733 100644 --- a/codespaces/README.md +++ b/codespaces/README.md @@ -1,15 +1,14 @@ # Codespaces +## New to codespaces? +* [Start here](https://docs.github.com/en/codespaces). Learn the core concepts and how to get started. +* [Quickstart for GitHub Codespaces](https://docs.github.com/en/codespaces/getting-started/quickstart). - -## Creating for the first time - -### Create codespaces +## Create codespaces 1. Select branch 2. Go to Code> create codespace on `branch-name` 3. `New with options` - ## predefined dev container configuration 1. Access the Visual Studio Code Command Palette (Shift+Command+P / Ctrl+Shift+P), then start typing "add dev". From db3a519197a499b4cfaa66dab6bc7b1dd62aec8f Mon Sep 17 00:00:00 2001 From: mxochicale Date: Sat, 2 Dec 2023 04:44:14 +0000 Subject: [PATCH 09/14] cleaner instructions #49 --- codespaces/README.md | 26 ++++++++++++++------------ 1 file changed, 14 insertions(+), 12 deletions(-) diff --git a/codespaces/README.md b/codespaces/README.md index 693c733..b731a98 100644 --- a/codespaces/README.md +++ b/codespaces/README.md @@ -5,33 +5,35 @@ * [Quickstart for GitHub Codespaces](https://docs.github.com/en/codespaces/getting-started/quickstart). ## Create codespaces -1. Select branch -2. Go to Code> create codespace on `branch-name` -3. `New with options` - -## predefined dev container configuration +1. Open your repository and go to `Code`>`Codespaces` +2. Select branch +3. Create codespace on `branch-name`. #This will take 3-ish minutes to prebuild container +4. `New with options` +## (First time) Predefined dev container configuration 1. Access the Visual Studio Code Command Palette (Shift+Command+P / Ctrl+Shift+P), then start typing "add dev". Click Codespaces: Add Dev Container Configuration Files. 2. Create a new config file 3. Select container conf template: Miniconda (Python3) 4. Select additional feature `Nothing` - -Creates: solid guacamole https://github.com/codespaces/solid-guacamole-5gqwv79vg77274jg +Creates: `docker_funny_name_ID` https://github.com/codespaces/`docker_funny_name_ID` In the terminal: ``` conda info conda env list ``` -## Running demo scripts -* Activate solid guacamole https://github.com/codespaces/solid-guacamole-5gqwv79vg77274jg +## (Already created) Running demo scripts +* Activate `docker_funny_name_ID` https://github.com/codespaces/`docker_funny_name_ID` +* Open notebook * Select Kernel -* `Install enable suggested extensions Python + Jupyter` -* Python environment -* demo (Python VERSION) /opt/conda/envs/demo/bin/python + * `Install enable suggested extensions Python + Jupyter` + * Python environment + * demo (Python VERSION) /opt/conda/envs/demo/bin/python * Run notebook +* Stop running container +* Maybe go https://github.com/codespaces/ to delete it ## References From 5ebc26c66c19a2cbf3bac9ebb51e1e46bb0018bb Mon Sep 17 00:00:00 2001 From: mxochicale Date: Sat, 2 Dec 2023 04:53:01 +0000 Subject: [PATCH 10/14] renames conda env to demoVE #49 --- .devcontainer/devcontainer.json | 2 +- .devcontainer/environment.yml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json index 7736c1d..c879278 100644 --- a/.devcontainer/devcontainer.json +++ b/.devcontainer/devcontainer.json @@ -29,7 +29,7 @@ "customizations": { "vscode": { "settings": { - "python.defaultInterpreterPath": "/opt/conda/envs/demo" + "python.defaultInterpreterPath": "/opt/conda/envs/demoVE" }, "extensions": [ // "ms-python.python", diff --git a/.devcontainer/environment.yml b/.devcontainer/environment.yml index 5d9bffc..79c004e 100644 --- a/.devcontainer/environment.yml +++ b/.devcontainer/environment.yml @@ -1,4 +1,4 @@ -name: demo +name: demoVE channels: - conda-forge - default From 36fdb5b485376645899f04acb027ac0a4e12f84f Mon Sep 17 00:00:00 2001 From: mxochicale Date: Sat, 2 Dec 2023 05:16:59 +0000 Subject: [PATCH 11/14] changing path and names of demoVE.yml; and cleaner instructions #49 --- .devcontainer/Dockerfile | 4 +- codespaces/README.md | 5 +- .../environment.yml => codespaces/demoVE.yml | 0 codespaces/log.md | 428 ++++++++++++++++++ {.devcontainer => codespaces}/noop.txt | 0 5 files changed, 432 insertions(+), 5 deletions(-) rename .devcontainer/environment.yml => codespaces/demoVE.yml (100%) create mode 100644 codespaces/log.md rename {.devcontainer => codespaces}/noop.txt (100%) diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile index 2874586..040b353 100644 --- a/.devcontainer/Dockerfile +++ b/.devcontainer/Dockerfile @@ -2,8 +2,8 @@ FROM mcr.microsoft.com/devcontainers/miniconda:0-3 # Copy environment.yml (if found) to a temp location so we update the environment. Also # copy "noop.txt" so the COPY instruction does not fail if no environment.yml exists. -COPY .devcontainer/environment.yml* .devcontainer/noop.txt /tmp/conda-tmp/ -RUN if [ -f "/tmp/conda-tmp/environment.yml" ]; then umask 0002 && /opt/conda/bin/conda env create -f /tmp/conda-tmp/environment.yml; fi \ +COPY ../codespaces/demoVE.yml* ../codespaces/noop.txt /tmp/conda-tmp/ +RUN if [ -f "/tmp/conda-tmp/environment.yml" ]; then umask 0002 && /opt/conda/bin/conda env create -f /tmp/conda-tmp/demoVE.yml; fi \ && rm -rf /tmp/conda-tmp # [Optional] Uncomment to install a different version of Python than the default diff --git a/codespaces/README.md b/codespaces/README.md index b731a98..62c16af 100644 --- a/codespaces/README.md +++ b/codespaces/README.md @@ -8,7 +8,6 @@ 1. Open your repository and go to `Code`>`Codespaces` 2. Select branch 3. Create codespace on `branch-name`. #This will take 3-ish minutes to prebuild container -4. `New with options` ## (First time) Predefined dev container configuration 1. Access the Visual Studio Code Command Palette (Shift+Command+P / Ctrl+Shift+P), then start typing "add dev". @@ -27,12 +26,12 @@ conda env list ## (Already created) Running demo scripts * Activate `docker_funny_name_ID` https://github.com/codespaces/`docker_funny_name_ID` * Open notebook -* Select Kernel +* Select Kernel (top right icon) * `Install enable suggested extensions Python + Jupyter` * Python environment * demo (Python VERSION) /opt/conda/envs/demo/bin/python * Run notebook -* Stop running container +* Stop running container (bottom left menu) * Maybe go https://github.com/codespaces/ to delete it diff --git a/.devcontainer/environment.yml b/codespaces/demoVE.yml similarity index 100% rename from .devcontainer/environment.yml rename to codespaces/demoVE.yml diff --git a/codespaces/log.md b/codespaces/log.md new file mode 100644 index 0000000..04b747c --- /dev/null +++ b/codespaces/log.md @@ -0,0 +1,428 @@ +# creation logs + + +## Sat 2 Dec 05:03:35 GMT 2023 + +``` +================================================================================= +2023-12-02 04:53:31.157Z: Configuration starting... +2023-12-02 04:53:31.233Z: Cloning... +2023-12-02 04:53:31.272Z: $ git -C "/var/lib/docker/codespacemount/workspace" clone --branch "49-codespaces" --depth 1 https://github.com/mxochicale/code "/var/lib/docker/codespacemount/workspace/code" +2023-12-02 04:53:31.342Z: Cloning into '/var/lib/docker/codespacemount/workspace/code'... +2023-12-02 04:53:34.452Z: git process exited with exit code 0 +2023-12-02 04:53:34.466Z: $ git -C "/var/lib/docker/codespacemount/workspace/code" config --local remote.origin.fetch +refs/heads/*:refs/remotes/origin/* +2023-12-02 04:53:34.473Z: git process exited with exit code 0 + +================================================================================= +2023-12-02 04:53:35.069Z: Creating container... +2023-12-02 04:53:35.147Z: $ devcontainer up --id-label Type=codespaces --workspace-folder /var/lib/docker/codespacemount/workspace/code --mount type=bind,source=/.codespaces/agent/mount/cache,target=/vscode --user-data-folder /var/lib/docker/codespacemount/.persistedshare --container-data-folder .vscode-remote/data/Machine --container-system-data-folder /var/vscode-remote --log-level trace --log-format json --update-remote-user-uid-default never --mount-workspace-git-root false --omit-config-remote-env-from-metadata --skip-non-blocking-commands --skip-post-create --config "/var/lib/docker/codespacemount/workspace/code/.devcontainer/devcontainer.json" --override-config /root/.codespaces/shared/merged_devcontainer.json --default-user-env-probe loginInteractiveShell --container-session-data-folder /workspaces/.codespaces/.persistedshare/devcontainers-cli/cache --secrets-file /root/.codespaces/shared/user-secrets-envs.json +2023-12-02 04:53:35.329Z: @devcontainers/cli 0.52.1. Node.js v18.17.1. linux 6.2.0-1016-azure x64. +2023-12-02 04:53:35.849Z: $ docker buildx build --load --build-arg BUILDKIT_INLINE_CACHE=1 -f /tmp/devcontainercli-root/container-features/0.52.1-1701492815831/Dockerfile-with-features -t vsc-code-ebc7ff1bb830c9ab527f890f7f31279e8e4979e92a94006398168157f6921606 --target dev_containers_target_stage --build-arg _DEV_CONTAINERS_BASE_IMAGE=dev_container_auto_added_stage_label /var/lib/docker/codespacemount/workspace/code +2023-12-02 04:53:36.313Z: #0 building with "default" instance using docker driver2023-12-02 04:53:36.322Z: +2023-12-02 04:53:36.329Z: +2023-12-02 04:53:36.335Z: #1 [internal] load .dockerignore2023-12-02 04:53:36.339Z: +2023-12-02 04:53:36.342Z: #1 transferring context:2023-12-02 04:53:36.348Z: +2023-12-02 04:53:36.454Z: #1 transferring context: 2B done +#1 DONE 0.2s + +#2 [internal] load build definition from Dockerfile-with-features +2023-12-02 04:53:36.459Z: #2 transferring dockerfile: 2.50kB 0.0s done +#2 DONE 0.3s +2023-12-02 04:53:36.604Z: +#3 [internal] load metadata for mcr.microsoft.com/devcontainers/miniconda:0-3 +2023-12-02 04:53:36.889Z: #3 DONE 0.4s +2023-12-02 04:53:37.040Z: +#4 [dev_container_auto_added_stage_label 1/3] FROM mcr.microsoft.com/devcontainers/miniconda:0-3@sha256:533777e6c0c2310801735cdde71f4f441cf66b628c411ff97e20752b1d6cc86d +2023-12-02 04:53:37.048Z: #4 resolve mcr.microsoft.com/devcontainers/miniconda:0-3@sha256:533777e6c0c2310801735cdde71f4f441cf66b628c411ff97e20752b1d6cc86d 0.1s done +2023-12-02 04:53:37.170Z: #4 ...2023-12-02 04:53:37.176Z: + +#5 [internal] load build context +#5 transferring context: 603B done +#5 DONE 0.2s + +#4 [dev_container_auto_added_stage_label 1/3] FROM mcr.microsoft.com/devcontainers/miniconda:0-3@sha256:533777e6c0c2310801735cdde71f4f441cf66b628c411ff97e20752b1d6cc86d +#4 sha256:533777e6c0c2310801735cdde71f4f441cf66b628c411ff97e20752b1d6cc86d 1.61kB / 1.61kB done +#4 sha256:c0d89f1c49a26e118bca52d16564d4ca0c851a7616eccfbd3f35a61e759786a6 24.54kB / 24.54kB done +#4 sha256:fbdfa74a59754288e14a6690f1d9a2498467cc83c939a7bcdb65d71f23596b5f 4.47kB / 4.47kB done +2023-12-02 04:53:37.318Z: #4 sha256:ddf874abf16cc990e0fd75a154a34ca0a03ee310ad895a18fb62ae15bf4171fb 13.73MB / 55.06MB 0.2s +2023-12-02 04:53:37.323Z: #4 sha256:5c1459d3ab8b5e46ac1a0a00134fe2f7b693474eb6d75ace97ecbe811a6f5b0e 0B / 15.76MB 0.2s +#4 sha256:9a11a33b016bcaf1d0bd4a0857c13c9dc9486d5eb19d808d5c237d0cb271b99a 406B / 406B 0.2s done2023-12-02 04:53:37.331Z: +2023-12-02 04:53:37.417Z: #4 sha256:ddf874abf16cc990e0fd75a154a34ca0a03ee310ad895a18fb62ae15bf4171fb 25.17MB / 55.06MB 0.3s +#4 sha256:5c1459d3ab8b5e46ac1a0a00134fe2f7b693474eb6d75ace97ecbe811a6f5b0e 9.44MB / 15.76MB 0.3s +2023-12-02 04:53:37.422Z: #4 sha256:b837e19a13f10adaa26316a877e8a3b54df5cf7543914009d2ee02b41d64378f 0B / 134B 0.3s +2023-12-02 04:53:37.519Z: #4 sha256:ddf874abf16cc990e0fd75a154a34ca0a03ee310ad895a18fb62ae15bf4171fb 35.65MB / 55.06MB 0.4s2023-12-02 04:53:37.527Z: +2023-12-02 04:53:37.547Z: #4 sha256:5c1459d3ab8b5e46ac1a0a00134fe2f7b693474eb6d75ace97ecbe811a6f5b0e 15.76MB / 15.76MB 0.4s2023-12-02 04:53:37.566Z: +2023-12-02 04:53:37.585Z: #4 sha256:b837e19a13f10adaa26316a877e8a3b54df5cf7543914009d2ee02b41d64378f 134B / 134B 0.4s done2023-12-02 04:53:37.603Z: +2023-12-02 04:53:37.621Z: #4 sha256:be88e9b1429e6abe1be4803e5f9560c271a407bd97941c12e81be9025abdab2d 0B / 223B 0.4s2023-12-02 04:53:37.630Z: +2023-12-02 04:53:37.637Z: #4 sha256:ddf874abf16cc990e0fd75a154a34ca0a03ee310ad895a18fb62ae15bf4171fb 41.94MB / 55.06MB 0.6s2023-12-02 04:53:37.641Z: +2023-12-02 04:53:37.774Z: #4 sha256:ddf874abf16cc990e0fd75a154a34ca0a03ee310ad895a18fb62ae15bf4171fb 55.06MB / 55.06MB 0.6s +#4 sha256:5c1459d3ab8b5e46ac1a0a00134fe2f7b693474eb6d75ace97ecbe811a6f5b0e 15.76MB / 15.76MB 0.6s done +#4 sha256:be88e9b1429e6abe1be4803e5f9560c271a407bd97941c12e81be9025abdab2d 223B / 223B 0.6s done +#4 sha256:469dc137be941824529e4f076cc2bbc129231c822962ad32580a4e2cd452253c 0B / 232B 0.6s +2023-12-02 04:53:37.924Z: #4 sha256:469dc137be941824529e4f076cc2bbc129231c822962ad32580a4e2cd452253c 232B / 232B 0.7s +#4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 0B / 108.29MB 0.7s +2023-12-02 04:53:38.074Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 16.78MB / 108.29MB 0.9s2023-12-02 04:53:38.078Z: +2023-12-02 04:53:38.197Z: #4 sha256:ddf874abf16cc990e0fd75a154a34ca0a03ee310ad895a18fb62ae15bf4171fb 55.06MB / 55.06MB 1.0s done +2023-12-02 04:53:38.203Z: #4 sha256:469dc137be941824529e4f076cc2bbc129231c822962ad32580a4e2cd452253c 232B / 232B 1.0s done2023-12-02 04:53:38.205Z: +2023-12-02 04:53:38.209Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 27.26MB / 108.29MB 1.1s2023-12-02 04:53:38.211Z: +2023-12-02 04:53:38.214Z: #4 extracting sha256:ddf874abf16cc990e0fd75a154a34ca0a03ee310ad895a18fb62ae15bf4171fb2023-12-02 04:53:38.217Z: +2023-12-02 04:53:38.299Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 35.65MB / 108.29MB 1.1s2023-12-02 04:53:38.304Z: +#4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 0B / 155.98MB 1.1s +2023-12-02 04:53:38.418Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 52.43MB / 108.29MB 1.3s2023-12-02 04:53:38.438Z: +2023-12-02 04:53:38.457Z: #4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 18.87MB / 155.98MB 1.3s2023-12-02 04:53:38.473Z: +2023-12-02 04:53:38.486Z: #4 sha256:f7abe09e5d5e4def17605244e9a4f2e8203b1d8d544fa30396d5ec42e6c47bf9 638B / 638B 1.1s done2023-12-02 04:53:38.499Z: +2023-12-02 04:53:38.507Z: #4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 0B / 118.40MB 1.3s2023-12-02 04:53:38.513Z: +2023-12-02 04:53:38.644Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 62.55MB / 108.29MB 1.6s2023-12-02 04:53:38.656Z: +2023-12-02 04:53:38.671Z: #4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 33.55MB / 155.98MB 1.6s2023-12-02 04:53:38.679Z: +2023-12-02 04:53:38.691Z: #4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 8.39MB / 118.40MB 1.6s2023-12-02 04:53:38.702Z: +2023-12-02 04:53:38.753Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 68.16MB / 108.29MB 1.7s +2023-12-02 04:53:38.903Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 75.50MB / 108.29MB 1.8s2023-12-02 04:53:38.906Z: +#4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 42.99MB / 155.98MB 1.8s +#4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 16.78MB / 118.40MB 1.8s +2023-12-02 04:53:39.131Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 93.32MB / 108.29MB 2.1s2023-12-02 04:53:39.135Z: +2023-12-02 04:53:39.143Z: #4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 58.43MB / 155.98MB 2.1s2023-12-02 04:53:39.158Z: +2023-12-02 04:53:39.171Z: #4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 32.51MB / 118.40MB 2.1s2023-12-02 04:53:39.179Z: +2023-12-02 04:53:39.239Z: #4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 38.80MB / 118.40MB 2.2s +2023-12-02 04:53:39.345Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 107.12MB / 108.29MB 2.3s +#4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 73.40MB / 155.98MB 2.3s +2023-12-02 04:53:39.448Z: #4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 49.28MB / 118.40MB 2.4s +2023-12-02 04:53:39.600Z: #4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 82.84MB / 155.98MB 2.5s2023-12-02 04:53:39.615Z: +2023-12-02 04:53:39.747Z: #4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 55.86MB / 118.40MB 2.6s +2023-12-02 04:53:39.843Z: #4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 95.42MB / 155.98MB 2.8s +#4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 65.01MB / 118.40MB 2.8s +2023-12-02 04:53:40.092Z: #4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 103.56MB / 155.98MB 2.9s +#4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 75.50MB / 118.40MB 2.9s +2023-12-02 04:53:40.214Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 108.29MB / 108.29MB 2.9s done2023-12-02 04:53:40.226Z: +#4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 113.25MB / 155.98MB 3.0s +#4 sha256:857523023f3af2b5bd1a8e05e269fa461162a454beb866f2e32551c7356fd0b8 0B / 122B 3.0s +2023-12-02 04:53:40.330Z: #4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 134.22MB / 155.98MB 3.2s +2023-12-02 04:53:40.337Z: #4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 82.84MB / 118.40MB 3.2s +#4 sha256:857523023f3af2b5bd1a8e05e269fa461162a454beb866f2e32551c7356fd0b8 122B / 122B 3.1s done +#4 sha256:af0f8691d92b92416b19654d847770431abe5077d51bd1f815dcdf834804ff22 0B / 605B 3.2s +2023-12-02 04:53:40.479Z: #4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 142.61MB / 155.98MB 3.3s +#4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 92.27MB / 118.40MB 3.3s +#4 sha256:af0f8691d92b92416b19654d847770431abe5077d51bd1f815dcdf834804ff22 605B / 605B 3.3s done +2023-12-02 04:53:40.630Z: #4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 100.66MB / 118.40MB 3.5s +#4 sha256:a5f5243ec26f765b90acd2506eb615faaed46a306c1f5a1804b434b72cc8435c 262.14kB / 35.86MB 3.5s +2023-12-02 04:53:40.794Z: #4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 155.98MB / 155.98MB 3.7s +#4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 108.00MB / 118.40MB 3.7s +#4 sha256:a5f5243ec26f765b90acd2506eb615faaed46a306c1f5a1804b434b72cc8435c 10.49MB / 35.86MB 3.7s +2023-12-02 04:53:41.088Z: #4 sha256:a5f5243ec26f765b90acd2506eb615faaed46a306c1f5a1804b434b72cc8435c 15.73MB / 35.86MB 4.0s2023-12-02 04:53:41.107Z: +2023-12-02 04:53:41.191Z: #4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 117.44MB / 118.40MB 4.1s +#4 sha256:a5f5243ec26f765b90acd2506eb615faaed46a306c1f5a1804b434b72cc8435c 19.27MB / 35.86MB 4.1s +2023-12-02 04:53:41.299Z: #4 sha256:a5f5243ec26f765b90acd2506eb615faaed46a306c1f5a1804b434b72cc8435c 25.17MB / 35.86MB 4.1s +2023-12-02 04:53:41.415Z: #4 sha256:a5f5243ec26f765b90acd2506eb615faaed46a306c1f5a1804b434b72cc8435c 30.41MB / 35.86MB 4.2s +2023-12-02 04:53:41.532Z: #4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 155.98MB / 155.98MB 4.4s done +#4 sha256:a5f5243ec26f765b90acd2506eb615faaed46a306c1f5a1804b434b72cc8435c 35.86MB / 35.86MB 4.5s +#4 sha256:af7055f83fa381583c03a343562a0c407db2d45bd28d4e323034c8f06d2f2a2e 0B / 289B 4.5s +2023-12-02 04:53:41.679Z: #4 sha256:af7055f83fa381583c03a343562a0c407db2d45bd28d4e323034c8f06d2f2a2e 289B / 289B 4.5s +2023-12-02 04:53:42.371Z: #4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 118.40MB / 118.40MB 5.1s done +2023-12-02 04:53:42.517Z: #4 sha256:a5f5243ec26f765b90acd2506eb615faaed46a306c1f5a1804b434b72cc8435c 35.86MB / 35.86MB 5.3s done2023-12-02 04:53:42.520Z: +#4 sha256:af7055f83fa381583c03a343562a0c407db2d45bd28d4e323034c8f06d2f2a2e 289B / 289B 5.4s done +#4 sha256:f130883feb0eb350abe241dc9409fb73dd51704ad3ae92b536563eb149b33346 412B / 412B 5.4s +#4 sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1 0B / 32B 5.4s +2023-12-02 04:53:42.618Z: #4 sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1 32B / 32B 5.5s done2023-12-02 04:53:42.621Z: +2023-12-02 04:53:42.754Z: #4 sha256:f130883feb0eb350abe241dc9409fb73dd51704ad3ae92b536563eb149b33346 412B / 412B 5.5s done +#4 sha256:1fbeb5db8b38e923a081350f3d836fb3b593c83f50566f296561558143d16f11 130B / 130B 5.6s done2023-12-02 04:53:42.756Z: +#4 sha256:7ec8d5cae060f1455aec6189e1de7858b03dc8073c461a5e717fed7c336d28b8 225B / 225B 5.6s +#4 sha256:59d5b1cf8ef097657e4c2157443131e4e14997efb3a0042f4f7bd43bc4c8d566 0B / 60.61MB 5.6s +#4 sha256:9da9948bb761fa37083d3c9a1fd71e7e3a93951fb0786bf3cab014068fbbe55c 0B / 240B 5.6s +2023-12-02 04:53:42.876Z: #4 sha256:7ec8d5cae060f1455aec6189e1de7858b03dc8073c461a5e717fed7c336d28b8 225B / 225B 5.7s done2023-12-02 04:53:42.878Z: +#4 sha256:9da9948bb761fa37083d3c9a1fd71e7e3a93951fb0786bf3cab014068fbbe55c 240B / 240B 5.7s done +#4 sha256:cdb217fcffc2286bc4a98dd2a882800210e9563cac126d6be43c3c92aad2d720 0B / 1.99MB 5.7s +2023-12-02 04:53:42.986Z: #4 sha256:cdb217fcffc2286bc4a98dd2a882800210e9563cac126d6be43c3c92aad2d720 1.99MB / 1.99MB 5.8s +#4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 0B / 99.55MB 5.8s +2023-12-02 04:53:43.122Z: #4 sha256:59d5b1cf8ef097657e4c2157443131e4e14997efb3a0042f4f7bd43bc4c8d566 17.63MB / 60.61MB 6.0s2023-12-02 04:53:43.129Z: +2023-12-02 04:53:43.137Z: #4 sha256:cdb217fcffc2286bc4a98dd2a882800210e9563cac126d6be43c3c92aad2d720 1.99MB / 1.99MB 5.9s done2023-12-02 04:53:43.140Z: +2023-12-02 04:53:43.142Z: #4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 12.58MB / 99.55MB 6.0s2023-12-02 04:53:43.160Z: +2023-12-02 04:53:43.246Z: #4 sha256:59d5b1cf8ef097657e4c2157443131e4e14997efb3a0042f4f7bd43bc4c8d566 23.07MB / 60.61MB 6.2s +2023-12-02 04:53:43.394Z: #4 sha256:59d5b1cf8ef097657e4c2157443131e4e14997efb3a0042f4f7bd43bc4c8d566 26.21MB / 60.61MB 6.3s +#4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 17.83MB / 99.55MB 6.3s +2023-12-02 04:53:43.567Z: #4 extracting sha256:ddf874abf16cc990e0fd75a154a34ca0a03ee310ad895a18fb62ae15bf4171fb 5.3s +#4 sha256:59d5b1cf8ef097657e4c2157443131e4e14997efb3a0042f4f7bd43bc4c8d566 30.41MB / 60.61MB 6.5s +2023-12-02 04:53:43.578Z: #4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 22.89MB / 99.55MB 6.5s +2023-12-02 04:53:43.883Z: #4 sha256:59d5b1cf8ef097657e4c2157443131e4e14997efb3a0042f4f7bd43bc4c8d566 38.99MB / 60.61MB 6.7s +#4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 32.51MB / 99.55MB 6.7s +2023-12-02 04:53:44.025Z: #4 sha256:59d5b1cf8ef097657e4c2157443131e4e14997efb3a0042f4f7bd43bc4c8d566 59.42MB / 60.61MB 7.0s2023-12-02 04:53:44.031Z: +2023-12-02 04:53:44.035Z: #4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 51.38MB / 99.55MB 7.0s2023-12-02 04:53:44.042Z: +2023-12-02 04:53:44.180Z: #4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 59.77MB / 99.55MB 7.0s +2023-12-02 04:53:44.317Z: #4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 70.69MB / 99.55MB 7.2s2023-12-02 04:53:44.322Z: +2023-12-02 04:53:44.629Z: #4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 83.89MB / 99.55MB 7.4s2023-12-02 04:53:44.632Z: +2023-12-02 04:53:44.717Z: #4 sha256:59d5b1cf8ef097657e4c2157443131e4e14997efb3a0042f4f7bd43bc4c8d566 60.61MB / 60.61MB 7.6s done +#4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 95.58MB / 99.55MB 7.6s2023-12-02 04:53:44.727Z: +2023-12-02 04:53:45.094Z: #4 extracting sha256:ddf874abf16cc990e0fd75a154a34ca0a03ee310ad895a18fb62ae15bf4171fb 6.9s done +2023-12-02 04:53:45.217Z: #4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 99.55MB / 99.55MB 8.1s done +2023-12-02 04:53:45.368Z: #4 extracting sha256:5c1459d3ab8b5e46ac1a0a00134fe2f7b693474eb6d75ace97ecbe811a6f5b0e2023-12-02 04:53:45.371Z: +2023-12-02 04:53:45.875Z: #4 extracting sha256:5c1459d3ab8b5e46ac1a0a00134fe2f7b693474eb6d75ace97ecbe811a6f5b0e 0.5s done +2023-12-02 04:53:46.476Z: #4 extracting sha256:9a11a33b016bcaf1d0bd4a0857c13c9dc9486d5eb19d808d5c237d0cb271b99a done +2023-12-02 04:53:46.620Z: #4 extracting sha256:b837e19a13f10adaa26316a877e8a3b54df5cf7543914009d2ee02b41d64378f done +#4 extracting sha256:be88e9b1429e6abe1be4803e5f9560c271a407bd97941c12e81be9025abdab2d2023-12-02 04:53:46.623Z: +2023-12-02 04:53:46.770Z: #4 extracting sha256:be88e9b1429e6abe1be4803e5f9560c271a407bd97941c12e81be9025abdab2d done +2023-12-02 04:53:46.922Z: #4 extracting sha256:469dc137be941824529e4f076cc2bbc129231c822962ad32580a4e2cd452253c done2023-12-02 04:53:46.924Z: +2023-12-02 04:53:47.073Z: #4 extracting sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d2023-12-02 04:53:47.078Z: +2023-12-02 04:53:51.978Z: #4 extracting sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 5.0s2023-12-02 04:53:52.012Z: +2023-12-02 04:53:52.552Z: #4 extracting sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 5.5s done +2023-12-02 04:53:53.274Z: #4 extracting sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 +2023-12-02 04:53:57.753Z: #4 extracting sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 4.4s done +2023-12-02 04:54:00.116Z: #4 extracting sha256:f7abe09e5d5e4def17605244e9a4f2e8203b1d8d544fa30396d5ec42e6c47bf9 +2023-12-02 04:54:00.266Z: #4 extracting sha256:f7abe09e5d5e4def17605244e9a4f2e8203b1d8d544fa30396d5ec42e6c47bf9 done2023-12-02 04:54:00.272Z: +2023-12-02 04:54:00.416Z: #4 extracting sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 +2023-12-02 04:54:05.510Z: #4 extracting sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 5.0s +2023-12-02 04:54:06.254Z: #4 extracting sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 5.8s done +2023-12-02 04:54:07.150Z: #4 extracting sha256:857523023f3af2b5bd1a8e05e269fa461162a454beb866f2e32551c7356fd0b8 +2023-12-02 04:54:07.275Z: #4 extracting sha256:857523023f3af2b5bd1a8e05e269fa461162a454beb866f2e32551c7356fd0b8 done +#4 extracting sha256:af0f8691d92b92416b19654d847770431abe5077d51bd1f815dcdf834804ff22 +2023-12-02 04:54:07.426Z: #4 extracting sha256:af0f8691d92b92416b19654d847770431abe5077d51bd1f815dcdf834804ff22 done2023-12-02 04:54:07.429Z: +2023-12-02 04:54:07.576Z: #4 extracting sha256:a5f5243ec26f765b90acd2506eb615faaed46a306c1f5a1804b434b72cc8435c +2023-12-02 04:54:09.170Z: #4 extracting sha256:a5f5243ec26f765b90acd2506eb615faaed46a306c1f5a1804b434b72cc8435c 1.6s done +2023-12-02 04:54:09.889Z: #4 extracting sha256:af7055f83fa381583c03a343562a0c407db2d45bd28d4e323034c8f06d2f2a2e +2023-12-02 04:54:10.018Z: #4 extracting sha256:af7055f83fa381583c03a343562a0c407db2d45bd28d4e323034c8f06d2f2a2e done2023-12-02 04:54:10.026Z: +#4 extracting sha256:1fbeb5db8b38e923a081350f3d836fb3b593c83f50566f296561558143d16f11 +2023-12-02 04:54:10.168Z: #4 extracting sha256:1fbeb5db8b38e923a081350f3d836fb3b593c83f50566f296561558143d16f11 done2023-12-02 04:54:10.176Z: +#4 extracting sha256:f130883feb0eb350abe241dc9409fb73dd51704ad3ae92b536563eb149b33346 +2023-12-02 04:54:10.317Z: #4 extracting sha256:f130883feb0eb350abe241dc9409fb73dd51704ad3ae92b536563eb149b33346 done +2023-12-02 04:54:10.458Z: #4 extracting sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1 done +#4 extracting sha256:7ec8d5cae060f1455aec6189e1de7858b03dc8073c461a5e717fed7c336d28b8 +2023-12-02 04:54:10.602Z: #4 extracting sha256:7ec8d5cae060f1455aec6189e1de7858b03dc8073c461a5e717fed7c336d28b8 done2023-12-02 04:54:10.607Z: +#4 extracting sha256:9da9948bb761fa37083d3c9a1fd71e7e3a93951fb0786bf3cab014068fbbe55c +2023-12-02 04:54:10.752Z: #4 extracting sha256:9da9948bb761fa37083d3c9a1fd71e7e3a93951fb0786bf3cab014068fbbe55c done +2023-12-02 04:54:10.903Z: #4 extracting sha256:59d5b1cf8ef097657e4c2157443131e4e14997efb3a0042f4f7bd43bc4c8d566 +2023-12-02 04:54:12.732Z: #4 extracting sha256:59d5b1cf8ef097657e4c2157443131e4e14997efb3a0042f4f7bd43bc4c8d566 1.8s done +2023-12-02 04:54:13.482Z: #4 extracting sha256:cdb217fcffc2286bc4a98dd2a882800210e9563cac126d6be43c3c92aad2d720 +2023-12-02 04:54:13.626Z: #4 extracting sha256:cdb217fcffc2286bc4a98dd2a882800210e9563cac126d6be43c3c92aad2d720 0.2s done2023-12-02 04:54:13.629Z: +2023-12-02 04:54:13.896Z: #4 extracting sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c502023-12-02 04:54:13.903Z: +2023-12-02 04:54:18.630Z: #4 extracting sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 4.7s done +2023-12-02 04:54:22.539Z: #4 DONE 45.6s2023-12-02 04:54:22.543Z: + +#6 [dev_container_auto_added_stage_label 2/3] COPY .devcontainer/environment.yml* .devcontainer/noop.txt /tmp/conda-tmp/ +2023-12-02 04:54:22.643Z: #6 DONE 0.2s + +#7 [dev_container_auto_added_stage_label 3/3] RUN if [ -f "/tmp/conda-tmp/environment.yml" ]; then umask 0002 && /opt/conda/bin/conda env create -f /tmp/conda-tmp/environment.yml; fi && rm -rf /tmp/conda-tmp +2023-12-02 04:54:24.002Z: #7 1.255 Collecting package metadata (repodata.json): ...working... 2023-12-02 04:55:43.252Z: done2023-12-02 04:55:43.259Z: +2023-12-02 04:55:43.270Z: #7 80.56 Solving environment: ...working... 2023-12-02 04:55:45.801Z: done2023-12-02 04:55:45.805Z: +#7 83.16 +#7 83.16 +#7 83.16 ==> WARNING: A newer version of conda exists. <== +#7 83.16 current version: 23.9.0 +#7 83.16 latest version: 23.10.0 +#7 83.16 +#7 83.16 Please update conda by running +#7 83.16 +2023-12-02 04:55:45.808Z: #7 83.16 $ conda update -n base -c defaults conda +#7 83.16 +#7 83.16 Or to minimize the number of packages updated during conda update use +#7 83.16 +#7 83.16 conda install conda=23.10.0 +#7 83.16 +#7 83.16 +2023-12-02 04:55:49.070Z: #7 86.43 2023-12-02 04:55:49.074Z: +#7 86.43 Downloading and Extracting Packages: ...working... done +#7 86.43 Preparing transaction: ...working... 2023-12-02 04:55:49.371Z: done2023-12-02 04:55:49.380Z: +#7 86.61 Verifying transaction: ...working... 2023-12-02 04:55:50.425Z: done2023-12-02 04:55:50.438Z: +#7 87.66 Executing transaction: ...working... 2023-12-02 04:55:53.134Z: done +2023-12-02 04:55:53.286Z: #7 90.55 Installing pip dependencies: ...working... 2023-12-02 04:56:12.092Z: Ran pip subprocess with arguments:2023-12-02 04:56:12.097Z: +#7 109.3 ['/opt/conda/envs/demoVE/bin/python', '-m', 'pip', 'install', '-U', '-r', '/tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt', '--exists-action=b'] +#7 109.3 Pip subprocess output: +#7 109.3 Collecting opencv-python-headless (from -r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 1)) +#7 109.3 Downloading opencv_python_headless-4.8.1.78-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB)2023-12-02 04:56:12.104Z: +#7 109.3 Collecting ipykernel (from -r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 2)) +#7 109.3 Downloading ipykernel-6.27.1-py3-none-any.whl.metadata (6.3 kB) +#7 109.3 Collecting matplotlib (from -r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 3)) +#7 109.3 Downloading matplotlib-3.8.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.8 kB) +#7 109.3 Collecting numpy>=1.21.2 (from opencv-python-headless->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 1)) +#7 109.3 Downloading numpy-1.26.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (61 kB) +#7 109.3 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 61.2/61.2 kB 2.1 MB/s eta 0:00:00 +#7 109.3 Collecting comm>=0.1.1 (from ipykernel->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 2)) +2023-12-02 04:56:12.112Z: #7 109.3 Downloading comm-0.2.0-py3-none-any.whl.metadata (3.7 kB) +#7 109.3 Collecting debugpy>=1.6.5 (from ipykernel->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 2)) +#7 109.3 Downloading debugpy-1.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.0 kB) +#7 109.3 Collecting ipython>=7.23.1 (from ipykernel->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 2)) +#7 109.3 Downloading ipython-8.18.1-py3-none-any.whl.metadata (6.0 kB) +#7 109.3 Collecting jupyter-client>=6.1.12 (from ipykernel->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 2)) +#7 109.3 Downloading jupyter_client-8.6.0-py3-none-any.whl.metadata (8.3 kB) +#7 109.3 Collecting jupyter-core!=5.0.*,>=4.12 (from ipykernel->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 2)) +#7 109.3 Downloading jupyter_core-5.5.0-py3-none-any.whl.metadata (3.4 kB) +#7 109.3 Collecting matplotlib-inline>=0.1 (from ipykernel->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 2)) +#7 109.3 Downloading matplotlib_inline-0.1.6-py3-none-any.whl (9.4 kB) +#7 109.3 Collecting nest-asyncio (from ipykernel->-r 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+#7 109.3 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 155.2/155.2 kB 5.0 MB/s eta 0:00:00 +#7 109.3 Collecting kiwisolver>=1.3.1 (from matplotlib->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 3)) +#7 109.3 Downloading kiwisolver-1.4.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.4 kB) +#7 109.3 Collecting pillow>=8 (from matplotlib->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 3)) +#7 109.3 Downloading Pillow-10.1.0-cp311-cp311-manylinux_2_28_x86_64.whl.metadata (9.5 kB) +#7 109.3 Collecting pyparsing>=2.3.1 (from matplotlib->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 3)) +#7 109.3 Downloading pyparsing-3.1.1-py3-none-any.whl.metadata (5.1 kB) +#7 109.3 Collecting python-dateutil>=2.7 (from matplotlib->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 3)) +#7 109.3 Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)2023-12-02 04:56:12.137Z: +#7 109.3 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 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platformdirs-4.0.0-py3-none-any.whl (17 kB) +#7 109.3 Downloading prompt_toolkit-3.0.41-py3-none-any.whl (385 kB) +#7 109.3 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 385.5/385.5 kB 13.3 MB/s eta 0:00:00 +#7 109.3 Downloading pygments-2.17.2-py3-none-any.whl (1.2 MB) +#7 109.3 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.2/1.2 MB 27.0 MB/s eta 0:00:00 +#7 109.3 Downloading stack_data-0.6.3-py3-none-any.whl (24 kB) +2023-12-02 04:56:12.186Z: #7 109.3 Downloading asttokens-2.4.1-py2.py3-none-any.whl (27 kB) +#7 109.3 Downloading executing-2.0.1-py2.py3-none-any.whl (24 kB) +#7 109.3 Downloading wcwidth-0.2.12-py2.py3-none-any.whl (34 kB) +#7 109.3 Installing collected packages: wcwidth, pure-eval, ptyprocess, traitlets, tornado, six, pyzmq, pyparsing, pygments, psutil, prompt-toolkit, platformdirs, pillow, pexpect, parso, packaging, numpy, nest-asyncio, kiwisolver, fonttools, executing, decorator, debugpy, cycler, python-dateutil, opencv-python-headless, matplotlib-inline, jupyter-core, jedi, contourpy, comm, asttokens, stack-data, matplotlib, jupyter-client, ipython, ipykernel +#7 109.3 Successfully installed asttokens-2.4.1 comm-0.2.0 contourpy-1.2.0 cycler-0.12.1 debugpy-1.8.0 decorator-5.1.1 executing-2.0.1 fonttools-4.45.1 ipykernel-6.27.1 ipython-8.18.1 jedi-0.19.1 jupyter-client-8.6.0 jupyter-core-5.5.0 kiwisolver-1.4.5 matplotlib-3.8.2 matplotlib-inline-0.1.6 nest-asyncio-1.5.8 numpy-1.26.2 opencv-python-headless-4.8.1.78 packaging-23.2 parso-0.8.3 pexpect-4.9.0 pillow-10.1.0 platformdirs-4.0.0 prompt-toolkit-3.0.41 psutil-5.9.6 ptyprocess-0.7.0 pure-eval-0.2.2 pygments-2.17.2 pyparsing-3.1.1 python-dateutil-2.8.2 pyzmq-25.1.1 six-1.16.0 stack-data-0.6.3 tornado-6.4 traitlets-5.14.0 wcwidth-0.2.12 +#7 109.3 +#7 109.3 done +#7 109.3 # +#7 109.3 # To activate this environment, use +#7 109.3 # +2023-12-02 04:56:12.191Z: #7 109.3 # $ conda activate demoVE +#7 109.3 # +#7 109.3 # To deactivate an active environment, use +#7 109.3 # +#7 109.3 # $ conda deactivate +#7 109.3 +2023-12-02 04:56:19.625Z: #7 DONE 116.9s +2023-12-02 04:56:19.629Z: +#8 preparing layers for inline cache +2023-12-02 04:56:30.862Z: #8 DONE 11.3s + +#9 exporting to image +#9 exporting layers done +#9 writing image sha256:e5c8f2251c43c6e6206c09e60b0bdc4827af28fd2e9e89d83dbaa9138e1072d8 0.0s done +#9 naming to docker.io/library/vsc-code-ebc7ff1bb830c9ab527f890f7f31279e8e4979e92a94006398168157f6921606 +2023-12-02 04:56:30.912Z: #9 naming to docker.io/library/vsc-code-ebc7ff1bb830c9ab527f890f7f31279e8e4979e92a94006398168157f6921606 0.0s done +#9 DONE 0.1s2023-12-02 04:56:30.917Z: +2023-12-02 04:56:30.926Z: Stop: Run: docker buildx build --load --build-arg BUILDKIT_INLINE_CACHE=1 -f /tmp/devcontainercli-root/container-features/0.52.1-1701492815831/Dockerfile-with-features -t vsc-code-ebc7ff1bb830c9ab527f890f7f31279e8e4979e92a94006398168157f6921606 --target dev_containers_target_stage --build-arg _DEV_CONTAINERS_BASE_IMAGE=dev_container_auto_added_stage_label /var/lib/docker/codespacemount/workspace/code +2023-12-02 04:56:30.954Z: $127.0.0.1 --cap-add sys_nice --network host --entrypoint /bin/sh vsc-code-ebc7ff1bb830c9ab527f890f7f31279e8e4979e92a94006398168157f6921606 -c echo Container started +2023-12-02 04:56:31.280Z: Container started +2023-12-02 04:56:31.649Z: Outcome: success User: vscode WorkspaceFolder: /workspaces/code +2023-12-02 04:56:31.659Z: devcontainer process exited with exit code 0 + +================================================================================= +2023-12-02 04:56:32.936Z: Running blocking commands... +2023-12-02 04:56:32.977Z: $ devcontainer up --id-label Type=codespaces --workspace-folder /var/lib/docker/codespacemount/workspace/code --mount type=bind,source=/.codespaces/agent/mount/cache,target=/vscode --user-data-folder /var/lib/docker/codespacemount/.persistedshare --container-data-folder .vscode-remote/data/Machine --container-system-data-folder /var/vscode-remote --log-level trace --log-format json --update-remote-user-uid-default never --mount-workspace-git-root false --omit-config-remote-env-from-metadata --skip-non-blocking-commands --expect-existing-container --config "/var/lib/docker/codespacemount/workspace/code/.devcontainer/devcontainer.json" --override-config /root/.codespaces/shared/merged_devcontainer.json --default-user-env-probe loginInteractiveShell --container-session-data-folder /workspaces/.codespaces/.persistedshare/devcontainers-cli/cache --secrets-file /root/.codespaces/shared/user-secrets-envs.json +2023-12-02 04:56:33.224Z: @devcontainers/cli 0.52.1. Node.js v18.17.1. linux 6.2.0-1016-azure x64. +2023-12-02 04:56:33.547Z: Outcome: success User: vscode WorkspaceFolder: /workspaces/code +2023-12-02 04:56:33.580Z: devcontainer process exited with exit code 0 + +================================================================================= +2023-12-02 04:56:33.669Z: Configuring codespace... +2023-12-02 04:56:33.792Z: $ cp -r /root/.docker /var/lib/docker/codespacemount/.persistedshare +2023-12-02 04:56:33.803Z: cp process exited with exit code 0 +2023-12-02 04:56:33.806Z: $ rm -rf /home/vscode/.docker +2023-12-02 04:56:33.919Z: rm process exited with exit code 0 +2023-12-02 04:56:33.924Z: $ ln -sfn /workspaces/.codespaces/.persistedshare/.docker /home/vscode/.docker +2023-12-02 04:56:34.015Z: ln process exited with exit code 0 +2023-12-02 04:56:34.018Z: $ chown -R vscode /workspaces/.codespaces/.persistedshare/.docker +2023-12-02 04:56:34.112Z: chown process exited with exit code 0 + +================================================================================= +2023-12-02 04:56:34.155Z: Running commands... +2023-12-02 04:56:34.159Z: $ devcontainer up --id-label Type=codespaces --workspace-folder /var/lib/docker/codespacemount/workspace/code --expect-existing-container --skip-post-attach --mount type=bind,source=/.codespaces/agent/mount/cache,target=/vscode --container-data-folder .vscode-remote/data/Machine --container-system-data-folder /var/vscode-remote --log-level trace --log-format json --update-remote-user-uid-default never --mount-workspace-git-root false --config "/var/lib/docker/codespacemount/workspace/code/.devcontainer/devcontainer.json" --override-config /root/.codespaces/shared/merged_devcontainer.json --default-user-env-probe loginInteractiveShell --container-session-data-folder /workspaces/.codespaces/.persistedshare/devcontainers-cli/cache --secrets-file /root/.codespaces/shared/user-secrets-envs.json +2023-12-02 04:56:34.337Z: @devcontainers/cli 0.52.1. Node.js v18.17.1. linux 6.2.0-1016-azure x64. +2023-12-02 04:56:34.646Z: Running the postCreateCommand from devcontainer.json... + +2023-12-02 04:56:34.662Z: conda init +2023-12-02 04:56:35.836Z: no change /opt/conda/condabin/conda +no change /opt/conda/bin/conda +no change /opt/conda/bin/conda-env +no change /opt/conda/bin/activate +no change /opt/conda/bin/deactivate +no change /opt/conda/etc/profile.d/conda.sh +no change /opt/conda/etc/fish/conf.d/conda.fish +no change /opt/conda/shell/condabin/Conda.psm1 +no change /opt/conda/shell/condabin/conda-hook.ps1 +no change /opt/conda/lib/python3.11/site-packages/xontrib/conda.xsh +no change /opt/conda/etc/profile.d/conda.csh +modified /home/vscode/.bashrc=> For changes to take effect, close and re-open your current shell. <== + +2023-12-02 04:56:35.918Z: Outcome: success User: vscode WorkspaceFolder: /workspaces/code +2023-12-02 04:56:36.048Z: devcontainer process exited with exit code 0 + +================================================================================= +2023-12-02 04:56:36.061Z: Finished configuring codespace. +``` diff --git a/.devcontainer/noop.txt b/codespaces/noop.txt similarity index 100% rename from .devcontainer/noop.txt rename to codespaces/noop.txt From b3a31550a2e71f0b05a7b94022839a6d158e1219 Mon Sep 17 00:00:00 2001 From: mxochicale Date: Sat, 2 Dec 2023 05:20:48 +0000 Subject: [PATCH 12/14] missed /tmp/conda-tmp/demoVE.yml #49 --- .devcontainer/Dockerfile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile index 040b353..eebab79 100644 --- a/.devcontainer/Dockerfile +++ b/.devcontainer/Dockerfile @@ -3,7 +3,7 @@ FROM mcr.microsoft.com/devcontainers/miniconda:0-3 # Copy environment.yml (if found) to a temp location so we update the environment. Also # copy "noop.txt" so the COPY instruction does not fail if no environment.yml exists. COPY ../codespaces/demoVE.yml* ../codespaces/noop.txt /tmp/conda-tmp/ -RUN if [ -f "/tmp/conda-tmp/environment.yml" ]; then umask 0002 && /opt/conda/bin/conda env create -f /tmp/conda-tmp/demoVE.yml; fi \ +RUN if [ -f "/tmp/conda-tmp/demoVE.yml" ]; then umask 0002 && /opt/conda/bin/conda env create -f /tmp/conda-tmp/demoVE.yml; fi \ && rm -rf /tmp/conda-tmp # [Optional] Uncomment to install a different version of Python than the default From 6f2d686a2fd72c66062cb4b824a2fd213e8a2693 Mon Sep 17 00:00:00 2001 From: mxochicale Date: Sat, 2 Dec 2023 05:32:59 +0000 Subject: [PATCH 13/14] updates log; ready to merge #49 --- codespaces/log.md | 758 +++++++++++++++++++++++----------------------- 1 file changed, 373 insertions(+), 385 deletions(-) diff --git a/codespaces/log.md b/codespaces/log.md index 04b747c..7ea8018 100644 --- a/codespaces/log.md +++ b/codespaces/log.md @@ -1,413 +1,400 @@ # creation logs -## Sat 2 Dec 05:03:35 GMT 2023 - +## Sat 2 Dec 05:32:25 GMT 2023 ``` ================================================================================= -2023-12-02 04:53:31.157Z: Configuration starting... -2023-12-02 04:53:31.233Z: Cloning... -2023-12-02 04:53:31.272Z: $ git -C "/var/lib/docker/codespacemount/workspace" clone --branch "49-codespaces" --depth 1 https://github.com/mxochicale/code "/var/lib/docker/codespacemount/workspace/code" -2023-12-02 04:53:31.342Z: Cloning into '/var/lib/docker/codespacemount/workspace/code'... -2023-12-02 04:53:34.452Z: git process exited with exit code 0 -2023-12-02 04:53:34.466Z: $ git -C "/var/lib/docker/codespacemount/workspace/code" config --local remote.origin.fetch +refs/heads/*:refs/remotes/origin/* -2023-12-02 04:53:34.473Z: git process exited with exit code 0 +2023-12-02 05:25:30.421Z: Configuration starting... +2023-12-02 05:25:30.469Z: Cloning... +2023-12-02 05:25:30.517Z: $ git -C "/var/lib/docker/codespacemount/workspace" clone --branch "49-codespaces" --depth 1 https://github.com/mxochicale/code "/var/lib/docker/codespacemount/workspace/code" +2023-12-02 05:25:30.533Z: Cloning into '/var/lib/docker/codespacemount/workspace/code'... +2023-12-02 05:25:33.881Z: git process exited with exit code 0 +2023-12-02 05:25:33.891Z: $ git -C "/var/lib/docker/codespacemount/workspace/code" config --local remote.origin.fetch +refs/heads/*:refs/remotes/origin/* +2023-12-02 05:25:33.897Z: git process exited with exit code 0 ================================================================================= -2023-12-02 04:53:35.069Z: Creating container... -2023-12-02 04:53:35.147Z: $ devcontainer up --id-label Type=codespaces --workspace-folder /var/lib/docker/codespacemount/workspace/code --mount type=bind,source=/.codespaces/agent/mount/cache,target=/vscode --user-data-folder /var/lib/docker/codespacemount/.persistedshare --container-data-folder .vscode-remote/data/Machine --container-system-data-folder /var/vscode-remote --log-level trace --log-format json --update-remote-user-uid-default never --mount-workspace-git-root false --omit-config-remote-env-from-metadata --skip-non-blocking-commands --skip-post-create --config "/var/lib/docker/codespacemount/workspace/code/.devcontainer/devcontainer.json" --override-config /root/.codespaces/shared/merged_devcontainer.json --default-user-env-probe loginInteractiveShell --container-session-data-folder /workspaces/.codespaces/.persistedshare/devcontainers-cli/cache --secrets-file /root/.codespaces/shared/user-secrets-envs.json -2023-12-02 04:53:35.329Z: @devcontainers/cli 0.52.1. Node.js v18.17.1. linux 6.2.0-1016-azure x64. -2023-12-02 04:53:35.849Z: $ docker buildx build --load --build-arg BUILDKIT_INLINE_CACHE=1 -f /tmp/devcontainercli-root/container-features/0.52.1-1701492815831/Dockerfile-with-features -t vsc-code-ebc7ff1bb830c9ab527f890f7f31279e8e4979e92a94006398168157f6921606 --target dev_containers_target_stage --build-arg _DEV_CONTAINERS_BASE_IMAGE=dev_container_auto_added_stage_label /var/lib/docker/codespacemount/workspace/code -2023-12-02 04:53:36.313Z: #0 building with "default" instance using docker driver2023-12-02 04:53:36.322Z: -2023-12-02 04:53:36.329Z: -2023-12-02 04:53:36.335Z: #1 [internal] load .dockerignore2023-12-02 04:53:36.339Z: -2023-12-02 04:53:36.342Z: #1 transferring context:2023-12-02 04:53:36.348Z: -2023-12-02 04:53:36.454Z: #1 transferring context: 2B done -#1 DONE 0.2s +2023-12-02 05:25:34.616Z: Creating container... +2023-12-02 05:25:34.656Z: $ devcontainer up --id-label Type=codespaces --workspace-folder /var/lib/docker/codespacemount/workspace/code --mount type=bind,source=/.codespaces/agent/mount/cache,target=/vscode --user-data-folder /var/lib/docker/codespacemount/.persistedshare --container-data-folder .vscode-remote/data/Machine --container-system-data-folder /var/vscode-remote --log-level trace --log-format json --update-remote-user-uid-default never --mount-workspace-git-root false --omit-config-remote-env-from-metadata --skip-non-blocking-commands --skip-post-create --config "/var/lib/docker/codespacemount/workspace/code/.devcontainer/devcontainer.json" --override-config /root/.codespaces/shared/merged_devcontainer.json --default-user-env-probe loginInteractiveShell --container-session-data-folder /workspaces/.codespaces/.persistedshare/devcontainers-cli/cache --secrets-file /root/.codespaces/shared/user-secrets-envs.json +2023-12-02 05:25:34.832Z: @devcontainers/cli 0.52.1. Node.js v18.17.1. linux 6.2.0-1016-azure x64. +2023-12-02 05:25:35.292Z: $ docker buildx build --load --build-arg BUILDKIT_INLINE_CACHE=1 -f /tmp/devcontainercli-root/container-features/0.52.1-1701494735276/Dockerfile-with-features -t vsc-code-ebc7ff1bb830c9ab527f890f7f31279e8e4979e92a94006398168157f6921606 --target dev_containers_target_stage --build-arg _DEV_CONTAINERS_BASE_IMAGE=dev_container_auto_added_stage_label /var/lib/docker/codespacemount/workspace/code +2023-12-02 05:25:35.826Z: #0 building with "default" instance using docker driver + +#1 [internal] load .dockerignore +2023-12-02 05:25:35.931Z: #1 transferring context: +2023-12-02 05:25:36.062Z: #1 transferring context: 2B done +#1 DONE 0.3s + +2023-12-02 05:25:36.070Z: #2 [internal] load build definition from Dockerfile-with-features +#2 transferring dockerfile: 2.48kB done +2023-12-02 05:25:36.213Z: #2 DONE 0.4s -#2 [internal] load build definition from Dockerfile-with-features -2023-12-02 04:53:36.459Z: #2 transferring dockerfile: 2.50kB 0.0s done -#2 DONE 0.3s -2023-12-02 04:53:36.604Z: -#3 [internal] load metadata for mcr.microsoft.com/devcontainers/miniconda:0-3 -2023-12-02 04:53:36.889Z: #3 DONE 0.4s -2023-12-02 04:53:37.040Z: +2023-12-02 05:25:36.217Z: #3 [internal] load metadata for mcr.microsoft.com/devcontainers/miniconda:0-3 +2023-12-02 05:25:36.617Z: #3 DONE 0.5s2023-12-02 05:25:36.630Z: +2023-12-02 05:25:36.772Z: #4 [dev_container_auto_added_stage_label 1/3] FROM mcr.microsoft.com/devcontainers/miniconda:0-3@sha256:533777e6c0c2310801735cdde71f4f441cf66b628c411ff97e20752b1d6cc86d -2023-12-02 04:53:37.048Z: #4 resolve mcr.microsoft.com/devcontainers/miniconda:0-3@sha256:533777e6c0c2310801735cdde71f4f441cf66b628c411ff97e20752b1d6cc86d 0.1s done -2023-12-02 04:53:37.170Z: #4 ...2023-12-02 04:53:37.176Z: +#4 resolve mcr.microsoft.com/devcontainers/miniconda:0-3@sha256:533777e6c0c2310801735cdde71f4f441cf66b628c411ff97e20752b1d6cc86d 0.1s done +2023-12-02 05:25:36.936Z: #4 sha256:533777e6c0c2310801735cdde71f4f441cf66b628c411ff97e20752b1d6cc86d 1.61kB / 1.61kB done +#4 sha256:fbdfa74a59754288e14a6690f1d9a2498467cc83c939a7bcdb65d71f23596b5f 4.47kB / 4.47kB done +2023-12-02 05:25:36.944Z: #4 sha256:c0d89f1c49a26e118bca52d16564d4ca0c851a7616eccfbd3f35a61e759786a6 24.54kB / 24.54kB done +2023-12-02 05:25:37.063Z: #4 ... #5 [internal] load build context -#5 transferring context: 603B done +#5 transferring context: 589B done #5 DONE 0.2s #4 [dev_container_auto_added_stage_label 1/3] FROM mcr.microsoft.com/devcontainers/miniconda:0-3@sha256:533777e6c0c2310801735cdde71f4f441cf66b628c411ff97e20752b1d6cc86d -#4 sha256:533777e6c0c2310801735cdde71f4f441cf66b628c411ff97e20752b1d6cc86d 1.61kB / 1.61kB done -#4 sha256:c0d89f1c49a26e118bca52d16564d4ca0c851a7616eccfbd3f35a61e759786a6 24.54kB / 24.54kB done -#4 sha256:fbdfa74a59754288e14a6690f1d9a2498467cc83c939a7bcdb65d71f23596b5f 4.47kB / 4.47kB done -2023-12-02 04:53:37.318Z: #4 sha256:ddf874abf16cc990e0fd75a154a34ca0a03ee310ad895a18fb62ae15bf4171fb 13.73MB / 55.06MB 0.2s -2023-12-02 04:53:37.323Z: #4 sha256:5c1459d3ab8b5e46ac1a0a00134fe2f7b693474eb6d75ace97ecbe811a6f5b0e 0B / 15.76MB 0.2s -#4 sha256:9a11a33b016bcaf1d0bd4a0857c13c9dc9486d5eb19d808d5c237d0cb271b99a 406B / 406B 0.2s done2023-12-02 04:53:37.331Z: -2023-12-02 04:53:37.417Z: #4 sha256:ddf874abf16cc990e0fd75a154a34ca0a03ee310ad895a18fb62ae15bf4171fb 25.17MB / 55.06MB 0.3s -#4 sha256:5c1459d3ab8b5e46ac1a0a00134fe2f7b693474eb6d75ace97ecbe811a6f5b0e 9.44MB / 15.76MB 0.3s -2023-12-02 04:53:37.422Z: #4 sha256:b837e19a13f10adaa26316a877e8a3b54df5cf7543914009d2ee02b41d64378f 0B / 134B 0.3s -2023-12-02 04:53:37.519Z: #4 sha256:ddf874abf16cc990e0fd75a154a34ca0a03ee310ad895a18fb62ae15bf4171fb 35.65MB / 55.06MB 0.4s2023-12-02 04:53:37.527Z: -2023-12-02 04:53:37.547Z: #4 sha256:5c1459d3ab8b5e46ac1a0a00134fe2f7b693474eb6d75ace97ecbe811a6f5b0e 15.76MB / 15.76MB 0.4s2023-12-02 04:53:37.566Z: -2023-12-02 04:53:37.585Z: #4 sha256:b837e19a13f10adaa26316a877e8a3b54df5cf7543914009d2ee02b41d64378f 134B / 134B 0.4s done2023-12-02 04:53:37.603Z: -2023-12-02 04:53:37.621Z: #4 sha256:be88e9b1429e6abe1be4803e5f9560c271a407bd97941c12e81be9025abdab2d 0B / 223B 0.4s2023-12-02 04:53:37.630Z: -2023-12-02 04:53:37.637Z: #4 sha256:ddf874abf16cc990e0fd75a154a34ca0a03ee310ad895a18fb62ae15bf4171fb 41.94MB / 55.06MB 0.6s2023-12-02 04:53:37.641Z: -2023-12-02 04:53:37.774Z: #4 sha256:ddf874abf16cc990e0fd75a154a34ca0a03ee310ad895a18fb62ae15bf4171fb 55.06MB / 55.06MB 0.6s -#4 sha256:5c1459d3ab8b5e46ac1a0a00134fe2f7b693474eb6d75ace97ecbe811a6f5b0e 15.76MB / 15.76MB 0.6s done -#4 sha256:be88e9b1429e6abe1be4803e5f9560c271a407bd97941c12e81be9025abdab2d 223B / 223B 0.6s done -#4 sha256:469dc137be941824529e4f076cc2bbc129231c822962ad32580a4e2cd452253c 0B / 232B 0.6s -2023-12-02 04:53:37.924Z: #4 sha256:469dc137be941824529e4f076cc2bbc129231c822962ad32580a4e2cd452253c 232B / 232B 0.7s +2023-12-02 05:25:37.068Z: #4 sha256:5c1459d3ab8b5e46ac1a0a00134fe2f7b693474eb6d75ace97ecbe811a6f5b0e 0B / 15.76MB 0.2s +#4 sha256:ddf874abf16cc990e0fd75a154a34ca0a03ee310ad895a18fb62ae15bf4171fb 8.39MB / 55.06MB 0.2s +#4 sha256:9a11a33b016bcaf1d0bd4a0857c13c9dc9486d5eb19d808d5c237d0cb271b99a 0B / 406B 0.2s +2023-12-02 05:25:37.164Z: #4 sha256:5c1459d3ab8b5e46ac1a0a00134fe2f7b693474eb6d75ace97ecbe811a6f5b0e 3.15MB / 15.76MB 0.3s +#4 sha256:ddf874abf16cc990e0fd75a154a34ca0a03ee310ad895a18fb62ae15bf4171fb 17.83MB / 55.06MB 0.3s +#4 sha256:9a11a33b016bcaf1d0bd4a0857c13c9dc9486d5eb19d808d5c237d0cb271b99a 406B / 406B 0.3s done +#4 sha256:b837e19a13f10adaa26316a877e8a3b54df5cf7543914009d2ee02b41d64378f 0B / 134B 0.3s +2023-12-02 05:25:37.339Z: #4 sha256:5c1459d3ab8b5e46ac1a0a00134fe2f7b693474eb6d75ace97ecbe811a6f5b0e 13.63MB / 15.76MB 0.4s2023-12-02 05:25:37.371Z: +#4 sha256:ddf874abf16cc990e0fd75a154a34ca0a03ee310ad895a18fb62ae15bf4171fb 25.17MB / 55.06MB 0.4s +#4 sha256:b837e19a13f10adaa26316a877e8a3b54df5cf7543914009d2ee02b41d64378f 134B / 134B 0.4s done +2023-12-02 05:25:37.465Z: #4 sha256:5c1459d3ab8b5e46ac1a0a00134fe2f7b693474eb6d75ace97ecbe811a6f5b0e 15.76MB / 15.76MB 0.5s +#4 sha256:ddf874abf16cc990e0fd75a154a34ca0a03ee310ad895a18fb62ae15bf4171fb 30.41MB / 55.06MB 0.5s +2023-12-02 05:25:37.469Z: #4 sha256:be88e9b1429e6abe1be4803e5f9560c271a407bd97941c12e81be9025abdab2d 223B / 223B 0.5s +2023-12-02 05:25:37.615Z: #4 sha256:5c1459d3ab8b5e46ac1a0a00134fe2f7b693474eb6d75ace97ecbe811a6f5b0e 15.76MB / 15.76MB 0.6s done +#4 sha256:ddf874abf16cc990e0fd75a154a34ca0a03ee310ad895a18fb62ae15bf4171fb 51.38MB / 55.06MB 0.7s +2023-12-02 05:25:37.623Z: #4 sha256:be88e9b1429e6abe1be4803e5f9560c271a407bd97941c12e81be9025abdab2d 223B / 223B 0.6s done +#4 sha256:469dc137be941824529e4f076cc2bbc129231c822962ad32580a4e2cd452253c 0B / 232B 0.7s #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 0B / 108.29MB 0.7s -2023-12-02 04:53:38.074Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 16.78MB / 108.29MB 0.9s2023-12-02 04:53:38.078Z: -2023-12-02 04:53:38.197Z: #4 sha256:ddf874abf16cc990e0fd75a154a34ca0a03ee310ad895a18fb62ae15bf4171fb 55.06MB / 55.06MB 1.0s done -2023-12-02 04:53:38.203Z: #4 sha256:469dc137be941824529e4f076cc2bbc129231c822962ad32580a4e2cd452253c 232B / 232B 1.0s done2023-12-02 04:53:38.205Z: -2023-12-02 04:53:38.209Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 27.26MB / 108.29MB 1.1s2023-12-02 04:53:38.211Z: -2023-12-02 04:53:38.214Z: #4 extracting sha256:ddf874abf16cc990e0fd75a154a34ca0a03ee310ad895a18fb62ae15bf4171fb2023-12-02 04:53:38.217Z: -2023-12-02 04:53:38.299Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 35.65MB / 108.29MB 1.1s2023-12-02 04:53:38.304Z: -#4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 0B / 155.98MB 1.1s -2023-12-02 04:53:38.418Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 52.43MB / 108.29MB 1.3s2023-12-02 04:53:38.438Z: -2023-12-02 04:53:38.457Z: #4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 18.87MB / 155.98MB 1.3s2023-12-02 04:53:38.473Z: -2023-12-02 04:53:38.486Z: #4 sha256:f7abe09e5d5e4def17605244e9a4f2e8203b1d8d544fa30396d5ec42e6c47bf9 638B / 638B 1.1s done2023-12-02 04:53:38.499Z: -2023-12-02 04:53:38.507Z: #4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 0B / 118.40MB 1.3s2023-12-02 04:53:38.513Z: -2023-12-02 04:53:38.644Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 62.55MB / 108.29MB 1.6s2023-12-02 04:53:38.656Z: -2023-12-02 04:53:38.671Z: #4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 33.55MB / 155.98MB 1.6s2023-12-02 04:53:38.679Z: -2023-12-02 04:53:38.691Z: #4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 8.39MB / 118.40MB 1.6s2023-12-02 04:53:38.702Z: -2023-12-02 04:53:38.753Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 68.16MB / 108.29MB 1.7s -2023-12-02 04:53:38.903Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 75.50MB / 108.29MB 1.8s2023-12-02 04:53:38.906Z: -#4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 42.99MB / 155.98MB 1.8s -#4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 16.78MB / 118.40MB 1.8s -2023-12-02 04:53:39.131Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 93.32MB / 108.29MB 2.1s2023-12-02 04:53:39.135Z: -2023-12-02 04:53:39.143Z: #4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 58.43MB / 155.98MB 2.1s2023-12-02 04:53:39.158Z: -2023-12-02 04:53:39.171Z: #4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 32.51MB / 118.40MB 2.1s2023-12-02 04:53:39.179Z: -2023-12-02 04:53:39.239Z: #4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 38.80MB / 118.40MB 2.2s -2023-12-02 04:53:39.345Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 107.12MB / 108.29MB 2.3s -#4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 73.40MB / 155.98MB 2.3s -2023-12-02 04:53:39.448Z: #4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 49.28MB / 118.40MB 2.4s -2023-12-02 04:53:39.600Z: #4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 82.84MB / 155.98MB 2.5s2023-12-02 04:53:39.615Z: -2023-12-02 04:53:39.747Z: #4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 55.86MB / 118.40MB 2.6s -2023-12-02 04:53:39.843Z: #4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 95.42MB / 155.98MB 2.8s -#4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 65.01MB / 118.40MB 2.8s -2023-12-02 04:53:40.092Z: #4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 103.56MB / 155.98MB 2.9s -#4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 75.50MB / 118.40MB 2.9s -2023-12-02 04:53:40.214Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 108.29MB / 108.29MB 2.9s done2023-12-02 04:53:40.226Z: -#4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 113.25MB / 155.98MB 3.0s -#4 sha256:857523023f3af2b5bd1a8e05e269fa461162a454beb866f2e32551c7356fd0b8 0B / 122B 3.0s -2023-12-02 04:53:40.330Z: #4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 134.22MB / 155.98MB 3.2s -2023-12-02 04:53:40.337Z: #4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 82.84MB / 118.40MB 3.2s -#4 sha256:857523023f3af2b5bd1a8e05e269fa461162a454beb866f2e32551c7356fd0b8 122B / 122B 3.1s done -#4 sha256:af0f8691d92b92416b19654d847770431abe5077d51bd1f815dcdf834804ff22 0B / 605B 3.2s -2023-12-02 04:53:40.479Z: #4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 142.61MB / 155.98MB 3.3s -#4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 92.27MB / 118.40MB 3.3s -#4 sha256:af0f8691d92b92416b19654d847770431abe5077d51bd1f815dcdf834804ff22 605B / 605B 3.3s done -2023-12-02 04:53:40.630Z: #4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 100.66MB / 118.40MB 3.5s -#4 sha256:a5f5243ec26f765b90acd2506eb615faaed46a306c1f5a1804b434b72cc8435c 262.14kB / 35.86MB 3.5s -2023-12-02 04:53:40.794Z: #4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 155.98MB / 155.98MB 3.7s -#4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 108.00MB / 118.40MB 3.7s -#4 sha256:a5f5243ec26f765b90acd2506eb615faaed46a306c1f5a1804b434b72cc8435c 10.49MB / 35.86MB 3.7s -2023-12-02 04:53:41.088Z: #4 sha256:a5f5243ec26f765b90acd2506eb615faaed46a306c1f5a1804b434b72cc8435c 15.73MB / 35.86MB 4.0s2023-12-02 04:53:41.107Z: -2023-12-02 04:53:41.191Z: #4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 117.44MB / 118.40MB 4.1s -#4 sha256:a5f5243ec26f765b90acd2506eb615faaed46a306c1f5a1804b434b72cc8435c 19.27MB / 35.86MB 4.1s -2023-12-02 04:53:41.299Z: #4 sha256:a5f5243ec26f765b90acd2506eb615faaed46a306c1f5a1804b434b72cc8435c 25.17MB / 35.86MB 4.1s -2023-12-02 04:53:41.415Z: #4 sha256:a5f5243ec26f765b90acd2506eb615faaed46a306c1f5a1804b434b72cc8435c 30.41MB / 35.86MB 4.2s -2023-12-02 04:53:41.532Z: #4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 155.98MB / 155.98MB 4.4s done -#4 sha256:a5f5243ec26f765b90acd2506eb615faaed46a306c1f5a1804b434b72cc8435c 35.86MB / 35.86MB 4.5s -#4 sha256:af7055f83fa381583c03a343562a0c407db2d45bd28d4e323034c8f06d2f2a2e 0B / 289B 4.5s -2023-12-02 04:53:41.679Z: #4 sha256:af7055f83fa381583c03a343562a0c407db2d45bd28d4e323034c8f06d2f2a2e 289B / 289B 4.5s -2023-12-02 04:53:42.371Z: #4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 118.40MB / 118.40MB 5.1s done -2023-12-02 04:53:42.517Z: #4 sha256:a5f5243ec26f765b90acd2506eb615faaed46a306c1f5a1804b434b72cc8435c 35.86MB / 35.86MB 5.3s done2023-12-02 04:53:42.520Z: -#4 sha256:af7055f83fa381583c03a343562a0c407db2d45bd28d4e323034c8f06d2f2a2e 289B / 289B 5.4s done -#4 sha256:f130883feb0eb350abe241dc9409fb73dd51704ad3ae92b536563eb149b33346 412B / 412B 5.4s -#4 sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1 0B / 32B 5.4s -2023-12-02 04:53:42.618Z: #4 sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1 32B / 32B 5.5s done2023-12-02 04:53:42.621Z: -2023-12-02 04:53:42.754Z: #4 sha256:f130883feb0eb350abe241dc9409fb73dd51704ad3ae92b536563eb149b33346 412B / 412B 5.5s done -#4 sha256:1fbeb5db8b38e923a081350f3d836fb3b593c83f50566f296561558143d16f11 130B / 130B 5.6s done2023-12-02 04:53:42.756Z: -#4 sha256:7ec8d5cae060f1455aec6189e1de7858b03dc8073c461a5e717fed7c336d28b8 225B / 225B 5.6s -#4 sha256:59d5b1cf8ef097657e4c2157443131e4e14997efb3a0042f4f7bd43bc4c8d566 0B / 60.61MB 5.6s -#4 sha256:9da9948bb761fa37083d3c9a1fd71e7e3a93951fb0786bf3cab014068fbbe55c 0B / 240B 5.6s -2023-12-02 04:53:42.876Z: #4 sha256:7ec8d5cae060f1455aec6189e1de7858b03dc8073c461a5e717fed7c336d28b8 225B / 225B 5.7s done2023-12-02 04:53:42.878Z: -#4 sha256:9da9948bb761fa37083d3c9a1fd71e7e3a93951fb0786bf3cab014068fbbe55c 240B / 240B 5.7s done -#4 sha256:cdb217fcffc2286bc4a98dd2a882800210e9563cac126d6be43c3c92aad2d720 0B / 1.99MB 5.7s -2023-12-02 04:53:42.986Z: #4 sha256:cdb217fcffc2286bc4a98dd2a882800210e9563cac126d6be43c3c92aad2d720 1.99MB / 1.99MB 5.8s -#4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 0B / 99.55MB 5.8s -2023-12-02 04:53:43.122Z: #4 sha256:59d5b1cf8ef097657e4c2157443131e4e14997efb3a0042f4f7bd43bc4c8d566 17.63MB / 60.61MB 6.0s2023-12-02 04:53:43.129Z: -2023-12-02 04:53:43.137Z: #4 sha256:cdb217fcffc2286bc4a98dd2a882800210e9563cac126d6be43c3c92aad2d720 1.99MB / 1.99MB 5.9s done2023-12-02 04:53:43.140Z: -2023-12-02 04:53:43.142Z: #4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 12.58MB / 99.55MB 6.0s2023-12-02 04:53:43.160Z: -2023-12-02 04:53:43.246Z: #4 sha256:59d5b1cf8ef097657e4c2157443131e4e14997efb3a0042f4f7bd43bc4c8d566 23.07MB / 60.61MB 6.2s -2023-12-02 04:53:43.394Z: #4 sha256:59d5b1cf8ef097657e4c2157443131e4e14997efb3a0042f4f7bd43bc4c8d566 26.21MB / 60.61MB 6.3s -#4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 17.83MB / 99.55MB 6.3s -2023-12-02 04:53:43.567Z: #4 extracting sha256:ddf874abf16cc990e0fd75a154a34ca0a03ee310ad895a18fb62ae15bf4171fb 5.3s -#4 sha256:59d5b1cf8ef097657e4c2157443131e4e14997efb3a0042f4f7bd43bc4c8d566 30.41MB / 60.61MB 6.5s -2023-12-02 04:53:43.578Z: #4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 22.89MB / 99.55MB 6.5s -2023-12-02 04:53:43.883Z: #4 sha256:59d5b1cf8ef097657e4c2157443131e4e14997efb3a0042f4f7bd43bc4c8d566 38.99MB / 60.61MB 6.7s -#4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 32.51MB / 99.55MB 6.7s -2023-12-02 04:53:44.025Z: #4 sha256:59d5b1cf8ef097657e4c2157443131e4e14997efb3a0042f4f7bd43bc4c8d566 59.42MB / 60.61MB 7.0s2023-12-02 04:53:44.031Z: -2023-12-02 04:53:44.035Z: #4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 51.38MB / 99.55MB 7.0s2023-12-02 04:53:44.042Z: -2023-12-02 04:53:44.180Z: #4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 59.77MB / 99.55MB 7.0s -2023-12-02 04:53:44.317Z: #4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 70.69MB / 99.55MB 7.2s2023-12-02 04:53:44.322Z: -2023-12-02 04:53:44.629Z: #4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 83.89MB / 99.55MB 7.4s2023-12-02 04:53:44.632Z: -2023-12-02 04:53:44.717Z: #4 sha256:59d5b1cf8ef097657e4c2157443131e4e14997efb3a0042f4f7bd43bc4c8d566 60.61MB / 60.61MB 7.6s done -#4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 95.58MB / 99.55MB 7.6s2023-12-02 04:53:44.727Z: -2023-12-02 04:53:45.094Z: #4 extracting sha256:ddf874abf16cc990e0fd75a154a34ca0a03ee310ad895a18fb62ae15bf4171fb 6.9s done -2023-12-02 04:53:45.217Z: #4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 99.55MB / 99.55MB 8.1s done -2023-12-02 04:53:45.368Z: #4 extracting sha256:5c1459d3ab8b5e46ac1a0a00134fe2f7b693474eb6d75ace97ecbe811a6f5b0e2023-12-02 04:53:45.371Z: -2023-12-02 04:53:45.875Z: #4 extracting sha256:5c1459d3ab8b5e46ac1a0a00134fe2f7b693474eb6d75ace97ecbe811a6f5b0e 0.5s done -2023-12-02 04:53:46.476Z: #4 extracting sha256:9a11a33b016bcaf1d0bd4a0857c13c9dc9486d5eb19d808d5c237d0cb271b99a done -2023-12-02 04:53:46.620Z: #4 extracting sha256:b837e19a13f10adaa26316a877e8a3b54df5cf7543914009d2ee02b41d64378f done -#4 extracting sha256:be88e9b1429e6abe1be4803e5f9560c271a407bd97941c12e81be9025abdab2d2023-12-02 04:53:46.623Z: -2023-12-02 04:53:46.770Z: #4 extracting sha256:be88e9b1429e6abe1be4803e5f9560c271a407bd97941c12e81be9025abdab2d done -2023-12-02 04:53:46.922Z: #4 extracting sha256:469dc137be941824529e4f076cc2bbc129231c822962ad32580a4e2cd452253c done2023-12-02 04:53:46.924Z: -2023-12-02 04:53:47.073Z: #4 extracting sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d2023-12-02 04:53:47.078Z: -2023-12-02 04:53:51.978Z: #4 extracting sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 5.0s2023-12-02 04:53:52.012Z: -2023-12-02 04:53:52.552Z: #4 extracting sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 5.5s done -2023-12-02 04:53:53.274Z: #4 extracting sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 -2023-12-02 04:53:57.753Z: #4 extracting sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 4.4s done -2023-12-02 04:54:00.116Z: #4 extracting sha256:f7abe09e5d5e4def17605244e9a4f2e8203b1d8d544fa30396d5ec42e6c47bf9 -2023-12-02 04:54:00.266Z: #4 extracting sha256:f7abe09e5d5e4def17605244e9a4f2e8203b1d8d544fa30396d5ec42e6c47bf9 done2023-12-02 04:54:00.272Z: -2023-12-02 04:54:00.416Z: #4 extracting sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 -2023-12-02 04:54:05.510Z: #4 extracting sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 5.0s -2023-12-02 04:54:06.254Z: #4 extracting sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 5.8s done -2023-12-02 04:54:07.150Z: #4 extracting sha256:857523023f3af2b5bd1a8e05e269fa461162a454beb866f2e32551c7356fd0b8 -2023-12-02 04:54:07.275Z: #4 extracting sha256:857523023f3af2b5bd1a8e05e269fa461162a454beb866f2e32551c7356fd0b8 done -#4 extracting sha256:af0f8691d92b92416b19654d847770431abe5077d51bd1f815dcdf834804ff22 -2023-12-02 04:54:07.426Z: #4 extracting sha256:af0f8691d92b92416b19654d847770431abe5077d51bd1f815dcdf834804ff22 done2023-12-02 04:54:07.429Z: -2023-12-02 04:54:07.576Z: #4 extracting sha256:a5f5243ec26f765b90acd2506eb615faaed46a306c1f5a1804b434b72cc8435c -2023-12-02 04:54:09.170Z: #4 extracting sha256:a5f5243ec26f765b90acd2506eb615faaed46a306c1f5a1804b434b72cc8435c 1.6s done -2023-12-02 04:54:09.889Z: #4 extracting sha256:af7055f83fa381583c03a343562a0c407db2d45bd28d4e323034c8f06d2f2a2e -2023-12-02 04:54:10.018Z: #4 extracting sha256:af7055f83fa381583c03a343562a0c407db2d45bd28d4e323034c8f06d2f2a2e done2023-12-02 04:54:10.026Z: -#4 extracting sha256:1fbeb5db8b38e923a081350f3d836fb3b593c83f50566f296561558143d16f11 -2023-12-02 04:54:10.168Z: #4 extracting sha256:1fbeb5db8b38e923a081350f3d836fb3b593c83f50566f296561558143d16f11 done2023-12-02 04:54:10.176Z: -#4 extracting sha256:f130883feb0eb350abe241dc9409fb73dd51704ad3ae92b536563eb149b33346 -2023-12-02 04:54:10.317Z: #4 extracting sha256:f130883feb0eb350abe241dc9409fb73dd51704ad3ae92b536563eb149b33346 done -2023-12-02 04:54:10.458Z: #4 extracting sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1 done -#4 extracting sha256:7ec8d5cae060f1455aec6189e1de7858b03dc8073c461a5e717fed7c336d28b8 -2023-12-02 04:54:10.602Z: #4 extracting sha256:7ec8d5cae060f1455aec6189e1de7858b03dc8073c461a5e717fed7c336d28b8 done2023-12-02 04:54:10.607Z: -#4 extracting sha256:9da9948bb761fa37083d3c9a1fd71e7e3a93951fb0786bf3cab014068fbbe55c -2023-12-02 04:54:10.752Z: #4 extracting sha256:9da9948bb761fa37083d3c9a1fd71e7e3a93951fb0786bf3cab014068fbbe55c done -2023-12-02 04:54:10.903Z: #4 extracting sha256:59d5b1cf8ef097657e4c2157443131e4e14997efb3a0042f4f7bd43bc4c8d566 -2023-12-02 04:54:12.732Z: #4 extracting sha256:59d5b1cf8ef097657e4c2157443131e4e14997efb3a0042f4f7bd43bc4c8d566 1.8s done -2023-12-02 04:54:13.482Z: #4 extracting sha256:cdb217fcffc2286bc4a98dd2a882800210e9563cac126d6be43c3c92aad2d720 -2023-12-02 04:54:13.626Z: #4 extracting sha256:cdb217fcffc2286bc4a98dd2a882800210e9563cac126d6be43c3c92aad2d720 0.2s done2023-12-02 04:54:13.629Z: -2023-12-02 04:54:13.896Z: #4 extracting sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c502023-12-02 04:54:13.903Z: -2023-12-02 04:54:18.630Z: #4 extracting sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 4.7s done -2023-12-02 04:54:22.539Z: #4 DONE 45.6s2023-12-02 04:54:22.543Z: +2023-12-02 05:25:37.792Z: #4 sha256:ddf874abf16cc990e0fd75a154a34ca0a03ee310ad895a18fb62ae15bf4171fb 55.06MB / 55.06MB 0.9s2023-12-02 05:25:37.799Z: +2023-12-02 05:25:37.874Z: #4 sha256:469dc137be941824529e4f076cc2bbc129231c822962ad32580a4e2cd452253c 232B / 232B 0.7s done +#4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 7.56MB / 108.29MB 0.9s +#4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 0B / 155.98MB 0.9s +2023-12-02 05:25:37.899Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 16.78MB / 108.29MB 1.1s +#4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 11.53MB / 155.98MB 1.1s2023-12-02 05:25:37.911Z: +2023-12-02 05:25:38.037Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 24.12MB / 108.29MB 1.1s2023-12-02 05:25:38.049Z: +2023-12-02 05:25:38.171Z: #4 sha256:ddf874abf16cc990e0fd75a154a34ca0a03ee310ad895a18fb62ae15bf4171fb 55.06MB / 55.06MB 1.2s done +#4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 40.89MB / 108.29MB 1.3s +2023-12-02 05:25:38.204Z: #4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 37.75MB / 155.98MB 1.3s +#4 sha256:f7abe09e5d5e4def17605244e9a4f2e8203b1d8d544fa30396d5ec42e6c47bf9 0B / 638B 1.3s +2023-12-02 05:25:38.281Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 51.18MB / 108.29MB 1.4s +#4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 47.19MB / 155.98MB 1.4s2023-12-02 05:25:38.287Z: +#4 sha256:f7abe09e5d5e4def17605244e9a4f2e8203b1d8d544fa30396d5ec42e6c47bf9 638B / 638B 1.4s done +#4 extracting sha256:ddf874abf16cc990e0fd75a154a34ca0a03ee310ad895a18fb62ae15bf4171fb +2023-12-02 05:25:38.432Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 56.95MB / 108.29MB 1.5s +#4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 0B / 118.40MB 1.5s2023-12-02 05:25:38.440Z: +2023-12-02 05:25:38.602Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 63.96MB / 108.29MB 1.6s2023-12-02 05:25:38.611Z: +2023-12-02 05:25:38.635Z: #4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 60.82MB / 155.98MB 1.6s2023-12-02 05:25:38.655Z: +2023-12-02 05:25:38.744Z: #4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 8.39MB / 118.40MB 1.8s2023-12-02 05:25:38.771Z: +2023-12-02 05:25:39.036Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 78.39MB / 108.29MB 2.1s2023-12-02 05:25:39.045Z: +2023-12-02 05:25:39.056Z: #4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 73.48MB / 155.98MB 2.1s2023-12-02 05:25:39.068Z: +2023-12-02 05:25:39.073Z: #4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 14.68MB / 118.40MB 2.1s2023-12-02 05:25:39.078Z: +2023-12-02 05:25:39.185Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 94.37MB / 108.29MB 2.3s2023-12-02 05:25:39.191Z: +2023-12-02 05:25:39.194Z: #4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 86.70MB / 155.98MB 2.3s +#4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 25.17MB / 118.40MB 2.3s2023-12-02 05:25:39.200Z: +2023-12-02 05:25:39.315Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 101.12MB / 108.29MB 2.4s +#4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 31.46MB / 118.40MB 2.4s +2023-12-02 05:25:39.457Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 108.00MB / 108.29MB 2.5s +#4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 100.66MB / 155.98MB 2.5s +#4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 37.75MB / 118.40MB 2.5s +2023-12-02 05:25:39.581Z: #4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 114.65MB / 155.98MB 2.7s +#4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 48.23MB / 118.40MB 2.7s +2023-12-02 05:25:39.860Z: #4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 127.93MB / 155.98MB 2.9s2023-12-02 05:25:39.898Z: +2023-12-02 05:25:39.915Z: #4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 57.67MB / 118.40MB 2.9s2023-12-02 05:25:39.926Z: +2023-12-02 05:25:39.983Z: #4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 65.01MB / 118.40MB 3.0s +2023-12-02 05:25:40.114Z: #4 sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 108.29MB / 108.29MB 3.2s done +#4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 146.90MB / 155.98MB 3.2s +#4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 78.64MB / 118.40MB 3.2s +2023-12-02 05:25:40.266Z: #4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 155.98MB / 155.98MB 3.3s2023-12-02 05:25:40.283Z: +#4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 85.98MB / 118.40MB 3.3s +#4 sha256:857523023f3af2b5bd1a8e05e269fa461162a454beb866f2e32551c7356fd0b8 122B / 122B 3.3s done +2023-12-02 05:25:40.373Z: #4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 96.47MB / 118.40MB 3.5s +#4 sha256:af0f8691d92b92416b19654d847770431abe5077d51bd1f815dcdf834804ff22 605B / 605B 3.5s +2023-12-02 05:25:40.664Z: #4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 116.39MB / 118.40MB 3.8s +2023-12-02 05:25:40.816Z: #4 sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 155.98MB / 155.98MB 3.8s done +#4 sha256:af0f8691d92b92416b19654d847770431abe5077d51bd1f815dcdf834804ff22 605B / 605B 3.9s done +#4 sha256:a5f5243ec26f765b90acd2506eb615faaed46a306c1f5a1804b434b72cc8435c 0B / 35.86MB 3.9s +2023-12-02 05:25:40.963Z: #4 sha256:a5f5243ec26f765b90acd2506eb615faaed46a306c1f5a1804b434b72cc8435c 9.68MB / 35.86MB 4.1s +2023-12-02 05:25:41.120Z: #4 sha256:a5f5243ec26f765b90acd2506eb615faaed46a306c1f5a1804b434b72cc8435c 16.08MB / 35.86MB 4.2s +2023-12-02 05:25:41.251Z: #4 sha256:a5f5243ec26f765b90acd2506eb615faaed46a306c1f5a1804b434b72cc8435c 23.19MB / 35.86MB 4.3s +2023-12-02 05:25:41.350Z: #4 sha256:a5f5243ec26f765b90acd2506eb615faaed46a306c1f5a1804b434b72cc8435c 29.73MB / 35.86MB 4.4s +2023-12-02 05:25:41.452Z: #4 sha256:a5f5243ec26f765b90acd2506eb615faaed46a306c1f5a1804b434b72cc8435c 35.86MB / 35.86MB 4.5s +2023-12-02 05:25:41.563Z: #4 sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 118.40MB / 118.40MB 4.6s done +#4 sha256:1fbeb5db8b38e923a081350f3d836fb3b593c83f50566f296561558143d16f11 130B / 130B 4.7s +2023-12-02 05:25:41.864Z: #4 sha256:a5f5243ec26f765b90acd2506eb615faaed46a306c1f5a1804b434b72cc8435c 35.86MB / 35.86MB 4.9s done2023-12-02 05:25:41.865Z: +#4 sha256:1fbeb5db8b38e923a081350f3d836fb3b593c83f50566f296561558143d16f11 130B / 130B 5.0s done +#4 sha256:f130883feb0eb350abe241dc9409fb73dd51704ad3ae92b536563eb149b33346 412B / 412B 5.0s +#4 sha256:af7055f83fa381583c03a343562a0c407db2d45bd28d4e323034c8f06d2f2a2e 0B / 289B 5.0s +2023-12-02 05:25:41.964Z: #4 sha256:f130883feb0eb350abe241dc9409fb73dd51704ad3ae92b536563eb149b33346 412B / 412B 5.1s done +#4 sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1 32B / 32B 5.1s +#4 sha256:7ec8d5cae060f1455aec6189e1de7858b03dc8073c461a5e717fed7c336d28b8 0B / 225B 5.1s +2023-12-02 05:25:42.102Z: #4 sha256:af7055f83fa381583c03a343562a0c407db2d45bd28d4e323034c8f06d2f2a2e 289B / 289B 5.1s done2023-12-02 05:25:42.106Z: +#4 sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1 32B / 32B 5.2s done +#4 sha256:7ec8d5cae060f1455aec6189e1de7858b03dc8073c461a5e717fed7c336d28b8 225B / 225B 5.2s +#4 sha256:59d5b1cf8ef097657e4c2157443131e4e14997efb3a0042f4f7bd43bc4c8d566 0B / 60.61MB 5.2s +2023-12-02 05:25:42.204Z: #4 sha256:7ec8d5cae060f1455aec6189e1de7858b03dc8073c461a5e717fed7c336d28b8 225B / 225B 5.3s done +#4 sha256:9da9948bb761fa37083d3c9a1fd71e7e3a93951fb0786bf3cab014068fbbe55c 0B / 240B 5.3s +2023-12-02 05:25:42.341Z: #4 sha256:59d5b1cf8ef097657e4c2157443131e4e14997efb3a0042f4f7bd43bc4c8d566 12.21MB / 60.61MB 5.4s2023-12-02 05:25:42.343Z: +#4 sha256:9da9948bb761fa37083d3c9a1fd71e7e3a93951fb0786bf3cab014068fbbe55c 240B / 240B 5.4s done +#4 sha256:cdb217fcffc2286bc4a98dd2a882800210e9563cac126d6be43c3c92aad2d720 1.99MB / 1.99MB 5.4s +2023-12-02 05:25:42.469Z: #4 sha256:59d5b1cf8ef097657e4c2157443131e4e14997efb3a0042f4f7bd43bc4c8d566 30.41MB / 60.61MB 5.6s +#4 sha256:cdb217fcffc2286bc4a98dd2a882800210e9563cac126d6be43c3c92aad2d720 1.99MB / 1.99MB 5.5s done +#4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 8.39MB / 99.55MB 5.6s +2023-12-02 05:25:42.619Z: #4 sha256:59d5b1cf8ef097657e4c2157443131e4e14997efb3a0042f4f7bd43bc4c8d566 33.55MB / 60.61MB 5.7s +#4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 16.78MB / 99.55MB 5.7s +2023-12-02 05:25:42.768Z: #4 sha256:59d5b1cf8ef097657e4c2157443131e4e14997efb3a0042f4f7bd43bc4c8d566 50.33MB / 60.61MB 5.9s +#4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 33.73MB / 99.55MB 5.9s +2023-12-02 05:25:42.883Z: #4 sha256:59d5b1cf8ef097657e4c2157443131e4e14997efb3a0042f4f7bd43bc4c8d566 60.61MB / 60.61MB 6.1s +#4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 45.09MB / 99.55MB 6.1s +2023-12-02 05:25:43.167Z: #4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 57.67MB / 99.55MB 6.3s2023-12-02 05:25:43.180Z: +2023-12-02 05:25:43.270Z: #4 sha256:59d5b1cf8ef097657e4c2157443131e4e14997efb3a0042f4f7bd43bc4c8d566 60.61MB / 60.61MB 6.4s done +#4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 69.21MB / 99.55MB 6.4s +2023-12-02 05:25:43.420Z: #4 extracting sha256:ddf874abf16cc990e0fd75a154a34ca0a03ee310ad895a18fb62ae15bf4171fb 5.1s +#4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 75.50MB / 99.55MB 6.5s +2023-12-02 05:25:43.668Z: #4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 98.57MB / 99.55MB 6.8s2023-12-02 05:25:43.677Z: +2023-12-02 05:25:44.063Z: #4 extracting sha256:ddf874abf16cc990e0fd75a154a34ca0a03ee310ad895a18fb62ae15bf4171fb 5.8s done2023-12-02 05:25:44.068Z: +2023-12-02 05:25:44.313Z: #4 sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 99.55MB / 99.55MB 7.4s done +2023-12-02 05:25:44.464Z: #4 extracting sha256:5c1459d3ab8b5e46ac1a0a00134fe2f7b693474eb6d75ace97ecbe811a6f5b0e +2023-12-02 05:25:44.961Z: #4 extracting sha256:5c1459d3ab8b5e46ac1a0a00134fe2f7b693474eb6d75ace97ecbe811a6f5b0e 0.5s done +2023-12-02 05:25:46.017Z: #4 extracting sha256:9a11a33b016bcaf1d0bd4a0857c13c9dc9486d5eb19d808d5c237d0cb271b99a done +2023-12-02 05:25:46.167Z: #4 extracting sha256:b837e19a13f10adaa26316a877e8a3b54df5cf7543914009d2ee02b41d64378f done +2023-12-02 05:25:46.318Z: #4 extracting sha256:be88e9b1429e6abe1be4803e5f9560c271a407bd97941c12e81be9025abdab2d done +2023-12-02 05:25:46.468Z: #4 extracting sha256:469dc137be941824529e4f076cc2bbc129231c822962ad32580a4e2cd452253c done +2023-12-02 05:25:46.571Z: #4 extracting sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d +2023-12-02 05:25:51.681Z: #4 extracting sha256:3b292f769942f54bc020381ae83ced4308d50f972ba512ad14b0489d4c4fc14d 5.1s done2023-12-02 05:25:51.690Z: +2023-12-02 05:25:53.024Z: #4 extracting sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca12023-12-02 05:25:53.032Z: +2023-12-02 05:25:58.142Z: #4 extracting sha256:7f92c98c9f975e511b894e4df6baf8396924428ddbc7920d0fe13404b70fbca1 5.0s done +2023-12-02 05:25:59.919Z: #4 extracting sha256:f7abe09e5d5e4def17605244e9a4f2e8203b1d8d544fa30396d5ec42e6c47bf9 +2023-12-02 05:26:00.064Z: #4 extracting sha256:f7abe09e5d5e4def17605244e9a4f2e8203b1d8d544fa30396d5ec42e6c47bf9 done +2023-12-02 05:26:00.214Z: #4 extracting sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 +2023-12-02 05:26:04.911Z: #4 extracting sha256:5c10dec97b644a5f2a5514817462f2aba5205eb27aa8fb482e9978f2b187b681 4.8s done2023-12-02 05:26:04.914Z: +2023-12-02 05:26:07.467Z: #4 extracting sha256:857523023f3af2b5bd1a8e05e269fa461162a454beb866f2e32551c7356fd0b8 done +2023-12-02 05:26:07.617Z: #4 extracting sha256:af0f8691d92b92416b19654d847770431abe5077d51bd1f815dcdf834804ff22 done +2023-12-02 05:26:07.768Z: #4 extracting sha256:a5f5243ec26f765b90acd2506eb615faaed46a306c1f5a1804b434b72cc8435c +2023-12-02 05:26:09.323Z: #4 extracting sha256:a5f5243ec26f765b90acd2506eb615faaed46a306c1f5a1804b434b72cc8435c 1.5s done +2023-12-02 05:26:10.061Z: #4 extracting sha256:af7055f83fa381583c03a343562a0c407db2d45bd28d4e323034c8f06d2f2a2e +2023-12-02 05:26:10.207Z: #4 extracting sha256:af7055f83fa381583c03a343562a0c407db2d45bd28d4e323034c8f06d2f2a2e done +2023-12-02 05:26:10.357Z: #4 extracting sha256:1fbeb5db8b38e923a081350f3d836fb3b593c83f50566f296561558143d16f11 done +2023-12-02 05:26:10.508Z: #4 extracting sha256:f130883feb0eb350abe241dc9409fb73dd51704ad3ae92b536563eb149b33346 done +2023-12-02 05:26:10.659Z: #4 extracting sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1 done +2023-12-02 05:26:10.809Z: #4 extracting sha256:7ec8d5cae060f1455aec6189e1de7858b03dc8073c461a5e717fed7c336d28b8 done +2023-12-02 05:26:10.960Z: #4 extracting sha256:9da9948bb761fa37083d3c9a1fd71e7e3a93951fb0786bf3cab014068fbbe55c done +2023-12-02 05:26:11.061Z: #4 extracting sha256:59d5b1cf8ef097657e4c2157443131e4e14997efb3a0042f4f7bd43bc4c8d5662023-12-02 05:26:11.064Z: +2023-12-02 05:26:13.008Z: #4 extracting sha256:59d5b1cf8ef097657e4c2157443131e4e14997efb3a0042f4f7bd43bc4c8d566 1.8s done2023-12-02 05:26:13.013Z: +2023-12-02 05:26:13.744Z: #4 extracting sha256:cdb217fcffc2286bc4a98dd2a882800210e9563cac126d6be43c3c92aad2d7202023-12-02 05:26:13.749Z: +2023-12-02 05:26:14.115Z: #4 extracting sha256:cdb217fcffc2286bc4a98dd2a882800210e9563cac126d6be43c3c92aad2d720 0.2s done +2023-12-02 05:26:14.408Z: #4 extracting sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 0.1s +2023-12-02 05:26:18.953Z: #4 extracting sha256:39b3578ce9aac4f755f5c2ce9b7e9b3a79dca1791dde502c3241cc9de18c2c50 4.7s done2023-12-02 05:26:18.957Z: +2023-12-02 05:26:23.729Z: #4 DONE 47.1s +2023-12-02 05:26:23.879Z: +#6 [dev_container_auto_added_stage_label 2/3] COPY ../codespaces/demoVE.yml* ../codespaces/noop.txt /tmp/conda-tmp/ +2023-12-02 05:26:24.029Z: #6 DONE 0.2s -#6 [dev_container_auto_added_stage_label 2/3] COPY .devcontainer/environment.yml* .devcontainer/noop.txt /tmp/conda-tmp/ -2023-12-02 04:54:22.643Z: #6 DONE 0.2s +#7 [dev_container_auto_added_stage_label 3/3] RUN if [ -f "/tmp/conda-tmp/demoVE.yml" ]; then umask 0002 && /opt/conda/bin/conda env create -f /tmp/conda-tmp/demoVE.yml; fi && rm -rf /tmp/conda-tmp +2023-12-02 05:26:25.382Z: #7 1.364 Collecting package metadata (repodata.json): ...working... 2023-12-02 05:27:41.248Z: done2023-12-02 05:27:41.255Z: +#7 77.33 Solving environment: ...working... 2023-12-02 05:27:43.802Z: done +2023-12-02 05:27:43.954Z: #7 79.97 2023-12-02 05:27:43.958Z: +#7 79.97 +#7 79.97 ==> WARNING: A newer version of conda exists. <== +#7 79.97 current version: 23.9.0 +2023-12-02 05:27:43.964Z: #7 79.97 latest version: 23.10.0 +#7 79.97 +#7 79.97 Please update conda by running +#7 79.97 +#7 79.97 $ conda update -n base -c defaults conda +#7 79.97 +#7 79.97 Or to minimize the number of packages updated during conda update use +#7 79.97 +#7 79.97 conda install conda=23.10.0 +#7 79.97 +#7 79.97 +2023-12-02 05:27:47.261Z: #7 83.21 2023-12-02 05:27:47.267Z: +2023-12-02 05:27:47.271Z: #7 83.21 Downloading and Extracting Packages: ...working... done +#7 83.21 Preparing transaction: ...working... 2023-12-02 05:27:47.411Z: done +#7 83.38 Verifying transaction: ...working... 2023-12-02 05:27:48.463Z: done +#7 84.44 Executing transaction: ...working... 2023-12-02 05:27:51.168Z: done +2023-12-02 05:27:51.469Z: #7 87.43 Installing pip dependencies: ...working... 2023-12-02 05:28:10.271Z: Ran pip subprocess with arguments: +2023-12-02 05:28:10.275Z: #7 106.2 ['/opt/conda/envs/demoVE/bin/python', '-m', 'pip', 'install', '-U', '-r', '/tmp/conda-tmp/condaenv.a7qvq18x.requirements.txt', '--exists-action=b'] +#7 106.2 Pip subprocess output: +#7 106.2 Collecting opencv-python-headless (from -r /tmp/conda-tmp/condaenv.a7qvq18x.requirements.txt (line 1)) +#7 106.2 Downloading opencv_python_headless-4.8.1.78-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB) +#7 106.2 Collecting ipykernel (from -r /tmp/conda-tmp/condaenv.a7qvq18x.requirements.txt (line 2)) +#7 106.2 Downloading ipykernel-6.27.1-py3-none-any.whl.metadata (6.3 kB) +#7 106.2 Collecting matplotlib (from -r /tmp/conda-tmp/condaenv.a7qvq18x.requirements.txt (line 3)) +#7 106.2 Downloading matplotlib-3.8.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.8 kB) +#7 106.2 Collecting numpy>=1.21.2 (from opencv-python-headless->-r /tmp/conda-tmp/condaenv.a7qvq18x.requirements.txt (line 1)) +#7 106.2 Downloading numpy-1.26.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (61 kB) +#7 106.2 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/tmp/conda-tmp/condaenv.a7qvq18x.requirements.txt (line 2)) +#7 106.2 Downloading pure_eval-0.2.2-py3-none-any.whl (11 kB)2023-12-02 05:28:10.426Z: +#7 106.2 Downloading opencv_python_headless-4.8.1.78-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (49.1 MB) +#7 106.2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 49.1/49.1 MB 23.6 MB/s eta 0:00:00 +2023-12-02 05:28:10.429Z: #7 106.2 Downloading ipykernel-6.27.1-py3-none-any.whl (114 kB) +#7 106.2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 114.6/114.6 kB 3.5 MB/s eta 0:00:00 +#7 106.2 Downloading matplotlib-3.8.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.6 MB) +2023-12-02 05:28:10.434Z: #7 106.2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 11.6/11.6 MB 51.9 MB/s eta 0:00:00 +#7 106.2 Downloading comm-0.2.0-py3-none-any.whl (7.0 kB) +2023-12-02 05:28:10.436Z: #7 106.2 Downloading contourpy-1.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (313 kB) +#7 106.2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 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(1.1 MB) +2023-12-02 05:28:10.472Z: #7 106.2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.1/1.1 MB 23.3 MB/s eta 0:00:00 +#7 106.2 Downloading tornado-6.4-cp38-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (435 kB) +#7 106.2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 435.4/435.4 kB 12.4 MB/s eta 0:00:00 +2023-12-02 05:28:10.475Z: #7 106.2 Downloading traitlets-5.14.0-py3-none-any.whl (85 kB) +#7 106.2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 85.2/85.2 kB 2.3 MB/s eta 0:00:00 +2023-12-02 05:28:10.479Z: #7 106.2 Downloading nest_asyncio-1.5.8-py3-none-any.whl (5.3 kB) +#7 106.2 Downloading psutil-5.9.6-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (283 kB) +#7 106.2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 283.6/283.6 kB 8.8 MB/s eta 0:00:002023-12-02 05:28:10.483Z: +#7 106.2 Downloading jedi-0.19.1-py2.py3-none-any.whl (1.6 MB) +#7 106.2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.6/1.6 MB 32.1 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ptyprocess, traitlets, tornado, six, pyzmq, pyparsing, pygments, psutil, prompt-toolkit, platformdirs, pillow, pexpect, parso, packaging, numpy, nest-asyncio, kiwisolver, fonttools, executing, decorator, debugpy, cycler, python-dateutil, opencv-python-headless, matplotlib-inline, jupyter-core, jedi, contourpy, comm, asttokens, stack-data, matplotlib, jupyter-client, ipython, ipykernel +#7 106.2 Successfully installed asttokens-2.4.1 comm-0.2.0 contourpy-1.2.0 cycler-0.12.1 debugpy-1.8.0 decorator-5.1.1 executing-2.0.1 fonttools-4.45.1 ipykernel-6.27.1 ipython-8.18.1 jedi-0.19.1 jupyter-client-8.6.0 jupyter-core-5.5.0 kiwisolver-1.4.5 matplotlib-3.8.2 matplotlib-inline-0.1.6 nest-asyncio-1.5.8 numpy-1.26.2 opencv-python-headless-4.8.1.78 packaging-23.2 parso-0.8.3 pexpect-4.9.0 pillow-10.1.0 platformdirs-4.0.0 prompt-toolkit-3.0.41 psutil-5.9.6 ptyprocess-0.7.0 pure-eval-0.2.2 pygments-2.17.2 pyparsing-3.1.1 python-dateutil-2.8.2 pyzmq-25.1.1 six-1.16.0 stack-data-0.6.3 tornado-6.4 traitlets-5.14.0 wcwidth-0.2.122023-12-02 05:28:10.505Z: +#7 106.2 +#7 106.2 done +#7 106.2 #2023-12-02 05:28:10.510Z: +#7 106.2 # To activate this environment, use +#7 106.2 # +2023-12-02 05:28:10.515Z: #7 106.2 # $ conda activate demoVE +#7 106.2 # +2023-12-02 05:28:10.517Z: #7 106.2 # To deactivate an active environment, use +#7 106.2 # +2023-12-02 05:28:10.520Z: #7 106.2 # $ conda deactivate +#7 106.2 +2023-12-02 05:28:17.776Z: #7 DONE 113.7s -#7 [dev_container_auto_added_stage_label 3/3] RUN if [ -f "/tmp/conda-tmp/environment.yml" ]; then umask 0002 && /opt/conda/bin/conda env create -f /tmp/conda-tmp/environment.yml; fi && rm -rf /tmp/conda-tmp -2023-12-02 04:54:24.002Z: #7 1.255 Collecting package metadata (repodata.json): ...working... 2023-12-02 04:55:43.252Z: done2023-12-02 04:55:43.259Z: -2023-12-02 04:55:43.270Z: #7 80.56 Solving environment: ...working... 2023-12-02 04:55:45.801Z: done2023-12-02 04:55:45.805Z: -#7 83.16 -#7 83.16 -#7 83.16 ==> WARNING: A newer version of conda exists. <== -#7 83.16 current version: 23.9.0 -#7 83.16 latest version: 23.10.0 -#7 83.16 -#7 83.16 Please update conda by running -#7 83.16 -2023-12-02 04:55:45.808Z: #7 83.16 $ conda update -n base -c defaults conda -#7 83.16 -#7 83.16 Or to minimize the number of packages updated during conda update use -#7 83.16 -#7 83.16 conda install conda=23.10.0 -#7 83.16 -#7 83.16 -2023-12-02 04:55:49.070Z: #7 86.43 2023-12-02 04:55:49.074Z: -#7 86.43 Downloading and Extracting Packages: ...working... done -#7 86.43 Preparing transaction: ...working... 2023-12-02 04:55:49.371Z: done2023-12-02 04:55:49.380Z: -#7 86.61 Verifying transaction: ...working... 2023-12-02 04:55:50.425Z: done2023-12-02 04:55:50.438Z: -#7 87.66 Executing transaction: ...working... 2023-12-02 04:55:53.134Z: done -2023-12-02 04:55:53.286Z: #7 90.55 Installing pip dependencies: ...working... 2023-12-02 04:56:12.092Z: Ran pip subprocess with arguments:2023-12-02 04:56:12.097Z: -#7 109.3 ['/opt/conda/envs/demoVE/bin/python', '-m', 'pip', 'install', '-U', '-r', '/tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt', '--exists-action=b'] -#7 109.3 Pip subprocess output: -#7 109.3 Collecting opencv-python-headless (from -r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 1)) -#7 109.3 Downloading opencv_python_headless-4.8.1.78-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB)2023-12-02 04:56:12.104Z: -#7 109.3 Collecting ipykernel (from -r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 2)) -#7 109.3 Downloading ipykernel-6.27.1-py3-none-any.whl.metadata (6.3 kB) -#7 109.3 Collecting matplotlib (from -r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 3)) -#7 109.3 Downloading matplotlib-3.8.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.8 kB) -#7 109.3 Collecting numpy>=1.21.2 (from opencv-python-headless->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 1)) -#7 109.3 Downloading numpy-1.26.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (61 kB) -#7 109.3 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 61.2/61.2 kB 2.1 MB/s eta 0:00:00 -#7 109.3 Collecting comm>=0.1.1 (from ipykernel->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 2)) -2023-12-02 04:56:12.112Z: #7 109.3 Downloading comm-0.2.0-py3-none-any.whl.metadata (3.7 kB) -#7 109.3 Collecting debugpy>=1.6.5 (from ipykernel->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 2)) -#7 109.3 Downloading debugpy-1.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.0 kB) -#7 109.3 Collecting ipython>=7.23.1 (from ipykernel->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 2)) -#7 109.3 Downloading ipython-8.18.1-py3-none-any.whl.metadata (6.0 kB) -#7 109.3 Collecting jupyter-client>=6.1.12 (from ipykernel->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 2)) -#7 109.3 Downloading jupyter_client-8.6.0-py3-none-any.whl.metadata (8.3 kB) -#7 109.3 Collecting jupyter-core!=5.0.*,>=4.12 (from ipykernel->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 2)) -#7 109.3 Downloading jupyter_core-5.5.0-py3-none-any.whl.metadata (3.4 kB) -#7 109.3 Collecting matplotlib-inline>=0.1 (from ipykernel->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 2)) -#7 109.3 Downloading matplotlib_inline-0.1.6-py3-none-any.whl (9.4 kB) -#7 109.3 Collecting nest-asyncio (from ipykernel->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 2))2023-12-02 04:56:12.121Z: -#7 109.3 Downloading nest_asyncio-1.5.8-py3-none-any.whl.metadata (2.8 kB) -#7 109.3 Collecting packaging (from ipykernel->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 2)) -#7 109.3 Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB) -#7 109.3 Collecting psutil (from ipykernel->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 2)) -#7 109.3 Downloading psutil-5.9.6-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (21 kB) -#7 109.3 Collecting pyzmq>=20 (from ipykernel->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 2)) -#7 109.3 Downloading pyzmq-25.1.1-cp311-cp311-manylinux_2_28_x86_64.whl.metadata (4.9 kB) -#7 109.3 Collecting tornado>=6.1 (from ipykernel->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 2)) -2023-12-02 04:56:12.127Z: #7 109.3 Downloading tornado-6.4-cp38-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.5 kB) -#7 109.3 Collecting traitlets>=5.4.0 (from ipykernel->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 2)) -#7 109.3 Downloading traitlets-5.14.0-py3-none-any.whl.metadata (10 kB) -#7 109.3 Collecting contourpy>=1.0.1 (from matplotlib->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 3)) -#7 109.3 Downloading contourpy-1.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.8 kB) -#7 109.3 Collecting cycler>=0.10 (from matplotlib->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 3)) -#7 109.3 Downloading cycler-0.12.1-py3-none-any.whl.metadata (3.8 kB) -#7 109.3 Collecting fonttools>=4.22.0 (from matplotlib->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 3)) -#7 109.3 Downloading fonttools-4.45.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (155 kB)2023-12-02 04:56:12.132Z: -#7 109.3 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 155.2/155.2 kB 5.0 MB/s eta 0:00:00 -#7 109.3 Collecting kiwisolver>=1.3.1 (from matplotlib->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 3)) -#7 109.3 Downloading kiwisolver-1.4.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.4 kB) -#7 109.3 Collecting pillow>=8 (from matplotlib->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 3)) -#7 109.3 Downloading Pillow-10.1.0-cp311-cp311-manylinux_2_28_x86_64.whl.metadata (9.5 kB) -#7 109.3 Collecting pyparsing>=2.3.1 (from matplotlib->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 3)) -#7 109.3 Downloading pyparsing-3.1.1-py3-none-any.whl.metadata (5.1 kB) -#7 109.3 Collecting python-dateutil>=2.7 (from matplotlib->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 3)) -#7 109.3 Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)2023-12-02 04:56:12.137Z: -#7 109.3 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 247.7/247.7 kB 1.5 MB/s eta 0:00:00 -#7 109.3 Collecting decorator (from ipython>=7.23.1->ipykernel->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 2)) -#7 109.3 Downloading decorator-5.1.1-py3-none-any.whl (9.1 kB) -#7 109.3 Collecting jedi>=0.16 (from ipython>=7.23.1->ipykernel->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 2)) -#7 109.3 Downloading jedi-0.19.1-py2.py3-none-any.whl.metadata (22 kB) -#7 109.3 Collecting prompt-toolkit<3.1.0,>=3.0.41 (from ipython>=7.23.1->ipykernel->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 2)) -#7 109.3 Downloading prompt_toolkit-3.0.41-py3-none-any.whl.metadata (6.5 kB) -#7 109.3 Collecting pygments>=2.4.0 (from ipython>=7.23.1->ipykernel->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 2)) -#7 109.3 Downloading pygments-2.17.2-py3-none-any.whl.metadata (2.6 kB) -2023-12-02 04:56:12.142Z: #7 109.3 Collecting stack-data (from ipython>=7.23.1->ipykernel->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 2)) -#7 109.3 Downloading stack_data-0.6.3-py3-none-any.whl.metadata (18 kB) -#7 109.3 Collecting pexpect>4.3 (from ipython>=7.23.1->ipykernel->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 2)) -#7 109.3 Downloading pexpect-4.9.0-py2.py3-none-any.whl.metadata (2.5 kB) -#7 109.3 Collecting platformdirs>=2.5 (from jupyter-core!=5.0.*,>=4.12->ipykernel->-r /tmp/conda-tmp/condaenv.tj1h9r0m.requirements.txt (line 2)) -#7 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psutil-5.9.6-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (283 kB) -#7 109.3 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 283.6/283.6 kB 9.3 MB/s eta 0:00:00 -#7 109.3 Downloading jedi-0.19.1-py2.py3-none-any.whl (1.6 MB) -2023-12-02 04:56:12.181Z: #7 109.3 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.6/1.6 MB 32.1 MB/s eta 0:00:00 -#7 109.3 Downloading pexpect-4.9.0-py2.py3-none-any.whl (63 kB) -#7 109.3 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 63.8/63.8 kB 2.4 MB/s eta 0:00:00 -#7 109.3 Downloading platformdirs-4.0.0-py3-none-any.whl (17 kB) -#7 109.3 Downloading prompt_toolkit-3.0.41-py3-none-any.whl (385 kB) -#7 109.3 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 385.5/385.5 kB 13.3 MB/s eta 0:00:00 -#7 109.3 Downloading pygments-2.17.2-py3-none-any.whl (1.2 MB) -#7 109.3 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.2/1.2 MB 27.0 MB/s eta 0:00:00 -#7 109.3 Downloading stack_data-0.6.3-py3-none-any.whl (24 kB) -2023-12-02 04:56:12.186Z: #7 109.3 Downloading asttokens-2.4.1-py2.py3-none-any.whl (27 kB) -#7 109.3 Downloading executing-2.0.1-py2.py3-none-any.whl (24 kB) -#7 109.3 Downloading wcwidth-0.2.12-py2.py3-none-any.whl (34 kB) -#7 109.3 Installing collected packages: wcwidth, pure-eval, ptyprocess, traitlets, tornado, six, pyzmq, pyparsing, pygments, psutil, prompt-toolkit, platformdirs, pillow, pexpect, parso, packaging, numpy, nest-asyncio, kiwisolver, fonttools, executing, decorator, debugpy, cycler, python-dateutil, opencv-python-headless, matplotlib-inline, jupyter-core, jedi, contourpy, comm, asttokens, stack-data, matplotlib, jupyter-client, ipython, ipykernel -#7 109.3 Successfully installed asttokens-2.4.1 comm-0.2.0 contourpy-1.2.0 cycler-0.12.1 debugpy-1.8.0 decorator-5.1.1 executing-2.0.1 fonttools-4.45.1 ipykernel-6.27.1 ipython-8.18.1 jedi-0.19.1 jupyter-client-8.6.0 jupyter-core-5.5.0 kiwisolver-1.4.5 matplotlib-3.8.2 matplotlib-inline-0.1.6 nest-asyncio-1.5.8 numpy-1.26.2 opencv-python-headless-4.8.1.78 packaging-23.2 parso-0.8.3 pexpect-4.9.0 pillow-10.1.0 platformdirs-4.0.0 prompt-toolkit-3.0.41 psutil-5.9.6 ptyprocess-0.7.0 pure-eval-0.2.2 pygments-2.17.2 pyparsing-3.1.1 python-dateutil-2.8.2 pyzmq-25.1.1 six-1.16.0 stack-data-0.6.3 tornado-6.4 traitlets-5.14.0 wcwidth-0.2.12 -#7 109.3 -#7 109.3 done -#7 109.3 # -#7 109.3 # To activate this environment, use -#7 109.3 # -2023-12-02 04:56:12.191Z: #7 109.3 # $ conda activate demoVE -#7 109.3 # -#7 109.3 # To deactivate an active environment, use -#7 109.3 # -#7 109.3 # $ conda deactivate -#7 109.3 -2023-12-02 04:56:19.625Z: #7 DONE 116.9s -2023-12-02 04:56:19.629Z: #8 preparing layers for inline cache -2023-12-02 04:56:30.862Z: #8 DONE 11.3s +2023-12-02 05:28:28.998Z: #8 DONE 11.3s #9 exporting to image #9 exporting layers done -#9 writing image sha256:e5c8f2251c43c6e6206c09e60b0bdc4827af28fd2e9e89d83dbaa9138e1072d8 0.0s done -#9 naming to docker.io/library/vsc-code-ebc7ff1bb830c9ab527f890f7f31279e8e4979e92a94006398168157f6921606 -2023-12-02 04:56:30.912Z: #9 naming to docker.io/library/vsc-code-ebc7ff1bb830c9ab527f890f7f31279e8e4979e92a94006398168157f6921606 0.0s done -#9 DONE 0.1s2023-12-02 04:56:30.917Z: -2023-12-02 04:56:30.926Z: Stop: Run: docker buildx build --load --build-arg BUILDKIT_INLINE_CACHE=1 -f /tmp/devcontainercli-root/container-features/0.52.1-1701492815831/Dockerfile-with-features -t vsc-code-ebc7ff1bb830c9ab527f890f7f31279e8e4979e92a94006398168157f6921606 --target dev_containers_target_stage --build-arg _DEV_CONTAINERS_BASE_IMAGE=dev_container_auto_added_stage_label /var/lib/docker/codespacemount/workspace/code -2023-12-02 04:56:30.954Z: $127.0.0.1 --cap-add sys_nice --network host --entrypoint /bin/sh vsc-code-ebc7ff1bb830c9ab527f890f7f31279e8e4979e92a94006398168157f6921606 -c echo Container started -2023-12-02 04:56:31.280Z: Container started -2023-12-02 04:56:31.649Z: Outcome: success User: vscode WorkspaceFolder: /workspaces/code -2023-12-02 04:56:31.659Z: devcontainer process exited with exit code 0 +#9 writing image sha256:452422467e7c86fc272e0894f751686094d58432d83271aa854569a5a2e92f48 0.0s done +#9 naming to docker.io/library/vsc-code-ebc7ff1bb830c9ab527f890f7f31279e8e4979e92a94006398168157f6921606 0.0s done +2023-12-02 05:28:29.001Z: #9 DONE 0.1s +2023-12-02 05:28:29.013Z: Stop: Run: docker buildx build --load --build-arg BUILDKIT_INLINE_CACHE=1 -f /tmp/devcontainercli-root/container-features/0.52.1-1701494735276/Dockerfile-with-features -t vsc-code-ebc7ff1bb830c9ab527f890f7f31279e8e4979e92a94006398168157f6921606 --target dev_containers_target_stage --build-arg _DEV_CONTAINERS_BASE_IMAGE=dev_container_auto_added_stage_label /var/lib/docker/codespacemount/workspace/code +2023-12-02 05:28:29.043Z: $127.0.0.1 --cap-add sys_nice --network host --entrypoint /bin/sh vsc-code-ebc7ff1bb830c9ab527f890f7f31279e8e4979e92a94006398168157f6921606 -c echo Container started +2023-12-02 05:28:29.369Z: Container started +2023-12-02 05:28:29.715Z: Outcome: success User: vscode WorkspaceFolder: /workspaces/code +2023-12-02 05:28:29.721Z: devcontainer process exited with exit code 0 ================================================================================= -2023-12-02 04:56:32.936Z: Running blocking commands... -2023-12-02 04:56:32.977Z: $ devcontainer up --id-label Type=codespaces --workspace-folder /var/lib/docker/codespacemount/workspace/code --mount type=bind,source=/.codespaces/agent/mount/cache,target=/vscode --user-data-folder /var/lib/docker/codespacemount/.persistedshare --container-data-folder .vscode-remote/data/Machine --container-system-data-folder /var/vscode-remote --log-level trace --log-format json --update-remote-user-uid-default never --mount-workspace-git-root false --omit-config-remote-env-from-metadata --skip-non-blocking-commands --expect-existing-container --config "/var/lib/docker/codespacemount/workspace/code/.devcontainer/devcontainer.json" --override-config /root/.codespaces/shared/merged_devcontainer.json --default-user-env-probe loginInteractiveShell --container-session-data-folder /workspaces/.codespaces/.persistedshare/devcontainers-cli/cache --secrets-file /root/.codespaces/shared/user-secrets-envs.json -2023-12-02 04:56:33.224Z: @devcontainers/cli 0.52.1. Node.js v18.17.1. linux 6.2.0-1016-azure x64. -2023-12-02 04:56:33.547Z: Outcome: success User: vscode WorkspaceFolder: /workspaces/code -2023-12-02 04:56:33.580Z: devcontainer process exited with exit code 0 +2023-12-02 05:28:30.993Z: Running blocking commands... +2023-12-02 05:28:31.023Z: $ devcontainer up --id-label Type=codespaces --workspace-folder /var/lib/docker/codespacemount/workspace/code --mount type=bind,source=/.codespaces/agent/mount/cache,target=/vscode --user-data-folder /var/lib/docker/codespacemount/.persistedshare --container-data-folder .vscode-remote/data/Machine --container-system-data-folder /var/vscode-remote --log-level trace --log-format json --update-remote-user-uid-default never --mount-workspace-git-root false --omit-config-remote-env-from-metadata --skip-non-blocking-commands --expect-existing-container --config "/var/lib/docker/codespacemount/workspace/code/.devcontainer/devcontainer.json" --override-config /root/.codespaces/shared/merged_devcontainer.json --default-user-env-probe loginInteractiveShell --container-session-data-folder /workspaces/.codespaces/.persistedshare/devcontainers-cli/cache --secrets-file /root/.codespaces/shared/user-secrets-envs.json +2023-12-02 05:28:31.268Z: @devcontainers/cli 0.52.1. Node.js v18.17.1. linux 6.2.0-1016-azure x64. +2023-12-02 05:28:31.591Z: Outcome: success User: vscode WorkspaceFolder: /workspaces/code +2023-12-02 05:28:31.607Z: devcontainer process exited with exit code 0 ================================================================================= -2023-12-02 04:56:33.669Z: Configuring codespace... -2023-12-02 04:56:33.792Z: $ cp -r /root/.docker /var/lib/docker/codespacemount/.persistedshare -2023-12-02 04:56:33.803Z: cp process exited with exit code 0 -2023-12-02 04:56:33.806Z: $ rm -rf /home/vscode/.docker -2023-12-02 04:56:33.919Z: rm process exited with exit code 0 -2023-12-02 04:56:33.924Z: $ ln -sfn /workspaces/.codespaces/.persistedshare/.docker /home/vscode/.docker -2023-12-02 04:56:34.015Z: ln process exited with exit code 0 -2023-12-02 04:56:34.018Z: $ chown -R vscode /workspaces/.codespaces/.persistedshare/.docker -2023-12-02 04:56:34.112Z: chown process exited with exit code 0 +2023-12-02 05:28:32.008Z: Configuring codespace... +2023-12-02 05:28:32.017Z: $ cp -r /root/.docker /var/lib/docker/codespacemount/.persistedshare +2023-12-02 05:28:32.037Z: cp process exited with exit code 0 +2023-12-02 05:28:32.084Z: $ rm -rf /home/vscode/.docker +2023-12-02 05:28:32.143Z: rm process exited with exit code 0 +2023-12-02 05:28:32.382Z: $ ln -sfn /workspaces/.codespaces/.persistedshare/.docker /home/vscode/.docker +2023-12-02 05:28:32.608Z: ln process exited with exit code 0 +2023-12-02 05:28:32.631Z: $ chown -R vscode /workspaces/.codespaces/.persistedshare/.docker +2023-12-02 05:28:32.635Z: chown process exited with exit code 0 ================================================================================= -2023-12-02 04:56:34.155Z: Running commands... -2023-12-02 04:56:34.159Z: $ devcontainer up --id-label Type=codespaces --workspace-folder /var/lib/docker/codespacemount/workspace/code --expect-existing-container --skip-post-attach --mount type=bind,source=/.codespaces/agent/mount/cache,target=/vscode --container-data-folder .vscode-remote/data/Machine --container-system-data-folder /var/vscode-remote --log-level trace --log-format json --update-remote-user-uid-default never --mount-workspace-git-root false --config "/var/lib/docker/codespacemount/workspace/code/.devcontainer/devcontainer.json" --override-config /root/.codespaces/shared/merged_devcontainer.json --default-user-env-probe loginInteractiveShell --container-session-data-folder /workspaces/.codespaces/.persistedshare/devcontainers-cli/cache --secrets-file /root/.codespaces/shared/user-secrets-envs.json -2023-12-02 04:56:34.337Z: @devcontainers/cli 0.52.1. Node.js v18.17.1. linux 6.2.0-1016-azure x64. -2023-12-02 04:56:34.646Z: Running the postCreateCommand from devcontainer.json... +2023-12-02 05:28:32.640Z: Running commands... +2023-12-02 05:28:32.658Z: $ devcontainer up --id-label Type=codespaces --workspace-folder /var/lib/docker/codespacemount/workspace/code --expect-existing-container --skip-post-attach --mount type=bind,source=/.codespaces/agent/mount/cache,target=/vscode --container-data-folder .vscode-remote/data/Machine --container-system-data-folder /var/vscode-remote --log-level trace --log-format json --update-remote-user-uid-default never --mount-workspace-git-root false --config "/var/lib/docker/codespacemount/workspace/code/.devcontainer/devcontainer.json" --override-config /root/.codespaces/shared/merged_devcontainer.json --default-user-env-probe loginInteractiveShell --container-session-data-folder /workspaces/.codespaces/.persistedshare/devcontainers-cli/cache --secrets-file /root/.codespaces/shared/user-secrets-envs.json +2023-12-02 05:28:33.054Z: @devcontainers/cli 0.52.1. Node.js v18.17.1. linux 6.2.0-1016-azure x64. +2023-12-02 05:28:33.483Z: Running the postCreateCommand from devcontainer.json... -2023-12-02 04:56:34.662Z: conda init -2023-12-02 04:56:35.836Z: no change /opt/conda/condabin/conda +2023-12-02 05:28:33.500Z: conda init +2023-12-02 05:28:34.905Z: no change /opt/conda/condabin/conda no change /opt/conda/bin/conda no change /opt/conda/bin/conda-env no change /opt/conda/bin/activate @@ -420,9 +407,10 @@ no change /opt/conda/lib/python3.11/site-packages/xontrib/conda.xsh no change /opt/conda/etc/profile.d/conda.csh modified /home/vscode/.bashrc=> For changes to take effect, close and re-open your current shell. <== -2023-12-02 04:56:35.918Z: Outcome: success User: vscode WorkspaceFolder: /workspaces/code -2023-12-02 04:56:36.048Z: devcontainer process exited with exit code 0 +2023-12-02 05:28:34.978Z: Outcome: success User: vscode WorkspaceFolder: /workspaces/code +2023-12-02 05:28:34.995Z: devcontainer process exited with exit code 0 ================================================================================= -2023-12-02 04:56:36.061Z: Finished configuring codespace. +2023-12-02 05:28:35.039Z: Finished configuring codespace. + ``` From b9b5ba3c8e49085c86ad3193472697c3e99fbbfb Mon Sep 17 00:00:00 2001 From: mxochicale Date: Sat, 2 Dec 2023 05:42:21 +0000 Subject: [PATCH 14/14] adds links to relevant files and few tiny changes #49 --- codespaces/README.md | 15 +++++++++------ 1 file changed, 9 insertions(+), 6 deletions(-) diff --git a/codespaces/README.md b/codespaces/README.md index 62c16af..1c1254e 100644 --- a/codespaces/README.md +++ b/codespaces/README.md @@ -9,6 +9,13 @@ 2. Select branch 3. Create codespace on `branch-name`. #This will take 3-ish minutes to prebuild container +The creation of codespace make use of + * [Dockerfile](../.devcontainer/Dockerfile) + * [devcontainer.json](../.devcontainer/devcontainer.json) + * [demoVE.yaml](demoVE.yml) + * [noop.txt](noop.txt) + + ## (First time) Predefined dev container configuration 1. Access the Visual Studio Code Command Palette (Shift+Command+P / Ctrl+Shift+P), then start typing "add dev". Click Codespaces: Add Dev Container Configuration Files. @@ -17,11 +24,7 @@ Click Codespaces: Add Dev Container Configuration Files. 4. Select additional feature `Nothing` Creates: `docker_funny_name_ID` https://github.com/codespaces/`docker_funny_name_ID` -In the terminal: -``` -conda info -conda env list -``` +You can check in the terminal these commands: `conda info` and `conda env list` ## (Already created) Running demo scripts * Activate `docker_funny_name_ID` https://github.com/codespaces/`docker_funny_name_ID` @@ -29,7 +32,7 @@ conda env list * Select Kernel (top right icon) * `Install enable suggested extensions Python + Jupyter` * Python environment - * demo (Python VERSION) /opt/conda/envs/demo/bin/python + * demoVE (Python VERSION) /opt/conda/envs/demoVE/bin/python * Run notebook * Stop running container (bottom left menu) * Maybe go https://github.com/codespaces/ to delete it