Merge remote-tracking branch 'upstream/main' into feat/new-base

pull/909/head
YuviPanda 2023-03-23 22:21:02 +05:30
commit 5894f63b87
52 zmienionych plików z 1215 dodań i 635 usunięć

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@ -6,7 +6,7 @@ coverage:
status:
project:
default:
target: auto
target: "0%"
patch:
default:
target: 20%
target: "0%"

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@ -11,6 +11,7 @@ on:
- "**.rst"
- ".github/workflows/*"
- "!.github/workflows/docker.yml"
- ".pre-commit-config.yaml"
push:
paths-ignore:
- "docs/**"
@ -18,6 +19,7 @@ on:
- "**.rst"
- ".github/workflows/*"
- "!.github/workflows/docker.yml"
- ".pre-commit-config.yaml"
branches-ignore:
- "dependabot/**"
- "pre-commit-ci-update-config"

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@ -11,6 +11,7 @@ on:
- "**.rst"
- ".github/workflows/*"
- "!.github/workflows/release.yml"
- ".pre-commit-config.yaml"
push:
paths-ignore:
- "docs/**"
@ -18,6 +19,7 @@ on:
- "**.rst"
- ".github/workflows/*"
- "!.github/workflows/release.yml"
- ".pre-commit-config.yaml"
branches-ignore:
- "dependabot/**"
- "pre-commit-ci-update-config"

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@ -11,6 +11,7 @@ on:
- "**.rst"
- ".github/workflows/*"
- "!.github/workflows/test.yml"
- ".pre-commit-config.yaml"
push:
paths-ignore:
- "docs/**"
@ -18,6 +19,7 @@ on:
- "**.rst"
- ".github/workflows/*"
- "!.github/workflows/test.yml"
- ".pre-commit-config.yaml"
branches-ignore:
- "dependabot/**"
- "pre-commit-ci-update-config"

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@ -1,10 +1,12 @@
tasks:
- init: |
pip3 install sphinx-autobuild
pip3 install -r dev-requirements.txt
pip3 install -r docs/requirements.txt
pip3 install -e .
command: |
sphinx-autobuild docs/source/ docs/_build/html/
name: Sphinx preview
ports:
- port: 8000

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@ -23,7 +23,7 @@ repos:
# Autoformat: Python code
- repo: https://github.com/psf/black
rev: 22.12.0
rev: 23.1.0
hooks:
- id: black
args:
@ -36,7 +36,7 @@ repos:
# Autoformat: Python code
- repo: https://github.com/pycqa/isort
rev: 5.11.4
rev: 5.12.0
hooks:
- id: isort
args:
@ -44,7 +44,7 @@ repos:
# Autoformat: markdown
- repo: https://github.com/pre-commit/mirrors-prettier
rev: v3.0.0-alpha.4
rev: v3.0.0-alpha.6
hooks:
- id: prettier
files: ".md"

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@ -43,8 +43,8 @@ specified in your ``environment.yml``.
You can also specify which Python version to install in your built environment
with ``environment.yml``. By default, ``repo2docker`` installs
|default_python| with your ``environment.yml`` unless you include the version of
Python in this file. ``conda`` supports all versions of Python,
though ``repo2docker`` support is best with Python 3.7, 3.6, 3.5 and 2.7.
Python in this file. ``conda`` Should support all versions of Python,
though ``repo2docker`` support is best with Python 3.7-3.11.
.. warning::
If you include a Python version in a ``runtime.txt`` file in addition to your

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@ -22,6 +22,10 @@ Repo2docker officially supports the following versions of Python
(specified in your :ref:`environment.yml <environment.yml>` or
:ref:`runtime.txt <runtime.txt>` file):
- 3.11 (added in 2023)
- 3.10 (added in 2022, default in 2023)
- 3.9 (added in 2021)
- 3.8 (added in 0.11)
- 3.7 (added in 0.7, default in 0.8)
- 3.6 (default in 0.7 and earlier)
- 3.5
@ -35,9 +39,18 @@ in the base environment is not packaged for your Python,
either because the version of the package is too new and your chosen Python is too old,
or vice versa.
I Python 2.7 is specified, a separate environment for the kernel will be
installed with Python 2. The notebook server will run in the default Python 3.7
environment.
If an old version of Python is specified (3.6 or earlier in 2023), a separate environment for the kernel will be installed with your requested Python version.
The notebook server will run in the default |default_python| environment.
That is, your _notebooks_ will run with Python 3.6, while your notebook _server_ will run with |default_python|.
These two environments can be distinguished with ``$NB_PYTHON_PREFIX/bin/python`` for the server and ``$KERNEL_PYTHON_PREFIX/bin/python`` for the kernel.
Both of these environment variables area always defined, even when they are the same.
Starting in 2023, the default version of Python used when Python version is unspecified will be updated more often.
Python itself releases a new version every year now, and repo2docker will follow, with the default Python version generally trailing the latest stable version of Python itself by 1-2 versions.
If you choose not to specify a Python version, your repository is _guaranteed_ to stop working, eventually.
We **strongly** recommend specifying a Python version (in environment.yml, runtime.txt, Pipfile, etc.)
Julia
~~~~~

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@ -1,10 +1,12 @@
"""BuildPack for conda environments"""
import os
import re
import warnings
from collections.abc import Mapping
from ruamel.yaml import YAML
from ...semver import parse_version as V
from ...utils import is_local_pip_requirement
from .._r_base import rstudio_base_scripts
from ..base import BaseImage
@ -98,7 +100,7 @@ class CondaBuildPack(BaseImage):
"""
path = super().get_path()
path.insert(0, "${CONDA_DIR}/bin")
if self.py2:
if self.separate_kernel_env:
path.insert(0, "${KERNEL_PYTHON_PREFIX}/bin")
path.insert(0, "${NB_PYTHON_PREFIX}/bin")
# This is at the end of $PATH, for backwards compat reasons
@ -141,7 +143,7 @@ class CondaBuildPack(BaseImage):
),
]
major_pythons = {"2": "2.7", "3": "3.7"}
major_pythons = {"2": "2.7", "3": "3.10"}
def get_build_script_files(self):
"""
@ -172,20 +174,24 @@ class CondaBuildPack(BaseImage):
frozen_name = f"environment-{self._conda_platform()}.lock"
pip_frozen_name = "requirements.txt"
if py_version:
if self.python_version == "2.7":
if "linux-64" != self._conda_platform():
conda_platform = self._conda_platform()
if self.separate_kernel_env:
self.log.warning(
f"User-requested packages for legacy Python version {py_version} will be installed in a separate kernel environment.\n"
)
lockfile_name = f"environment.py-{py_version}-{conda_platform}.lock"
if not os.path.exists(os.path.join(HERE, lockfile_name)):
raise ValueError(
f"Python version 2.7 {self._conda_platform()} is not supported!"
f"Python version {py_version} on {conda_platform} is not supported!"
)
# python 2 goes in a different env
files[
"conda/environment.py-2.7-linux-64.lock"
f"conda/{lockfile_name}"
] = self._kernel_environment_file = "/tmp/env/kernel-environment.lock"
# additional pip requirements for kernel env
if os.path.exists(os.path.join(HERE, "requirements.py-2.7.txt")):
requirements_file_name = f"requirements.py-{py_version}.pip"
if os.path.exists(os.path.join(HERE, requirements_file_name)):
files[
"conda/requirements.py-2.7.txt"
f"conda/{requirements_file_name}"
] = (
self._kernel_requirements_file
) = "/tmp/env/kernel-requirements.txt"
@ -333,8 +339,26 @@ class CondaBuildPack(BaseImage):
@property
def py2(self):
"""Am I building a Python 2 kernel environment?"""
warnings.warn(
"CondaBuildPack.py2 is deprecated in 2023.2. Use CondaBuildPack.separate_kernel_env.",
DeprecationWarning,
stacklevel=2,
)
return self.python_version and self.python_version.split(".")[0] == "2"
# Python versions _older_ than this get a separate kernel env
kernel_env_cutoff_version = "3.7"
@property
def separate_kernel_env(self):
"""Whether the kernel should be installed into a separate env from the server
Applies to older versions of Python that aren't kept up-to-date
"""
return self.python_version and V(self.python_version) < V(
self.kernel_env_cutoff_version
)
def get_preassemble_script_files(self):
"""preassembly only requires environment.yml
@ -352,7 +376,11 @@ class CondaBuildPack(BaseImage):
"""Return series of build-steps specific to this source repository."""
scripts = []
environment_yml = self.binder_path("environment.yml")
env_prefix = "${KERNEL_PYTHON_PREFIX}" if self.py2 else "${NB_PYTHON_PREFIX}"
env_prefix = (
"${KERNEL_PYTHON_PREFIX}"
if self.separate_kernel_env
else "${NB_PYTHON_PREFIX}"
)
if os.path.exists(environment_yml):
# TODO: when using micromamba, we call $MAMBA_EXE install -p ...
# whereas mamba/conda need `env update -p ...` when it's an env.yaml file
@ -396,6 +424,7 @@ class CondaBuildPack(BaseImage):
echo auth-none=1 >> /etc/rstudio/rserver.conf && \
echo auth-minimum-user-id=0 >> /etc/rstudio/rserver.conf && \
echo "rsession-which-r={env_prefix}/bin/R" >> /etc/rstudio/rserver.conf && \
echo "rsession-ld-library-path={env_prefix}/lib" >> /etc/rstudio/rserver.conf && \
echo www-frame-origin=same >> /etc/rstudio/rserver.conf
""",
),

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@ -1,43 +1,37 @@
# AUTO GENERATED FROM environment.py-3.7.yml, DO NOT MANUALLY MODIFY
# Frozen on 2023-01-01 11:29:43 UTC
# AUTO GENERATED FROM environment.py-3.10.yml, DO NOT MANUALLY MODIFY
# Frozen on 2023-02-03 12:34:24 UTC
# Generated by conda-lock.
# platform: linux-64
# input_hash: f39cf3a86cdaeb58bee45974ccbdaf3fb51ad41f0bb6f3caf9340c5aad0dfa3b
# input_hash: 9fd16b0f6d64e86a62e326694b74a429aef5dd7b227a96b4f0e2425851e4e016
@EXPLICIT
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@ -45,105 +39,112 @@ https://conda.anaconda.org/conda-forge/noarch/backports-1.0-pyhd8ed1ab_3.conda#5
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Wyświetl plik

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Wyświetl plik

@ -1,15 +1,15 @@
# AUTO GENERATED FROM environment.yml, DO NOT MANUALLY MODIFY
# Generated on 2023-01-01 11:29:43 UTC
# Generated on 2023-02-03 12:33:27 UTC
channels:
- conda-forge
dependencies:
- python=3.7.*
- nodejs=16
- nodejs=18
- pip
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Wyświetl plik

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# Generated on 2023-02-03 12:32:57 UTC
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Wyświetl plik

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https://conda.anaconda.org/conda-forge/linux-aarch64/cryptography-38.0.4-py39h2b83269_0.conda#60c0846fa2c3941171460abee29a1c62
https://conda.anaconda.org/conda-forge/linux-aarch64/cryptography-39.0.0-py39h8a84b6a_0.conda#dbf0c4fe3e4cd291219b108e8d3deab6
https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-6.0.0-hd8ed1ab_0.conda#a67d43e1527a37199dd8db913366f68e
https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.17.3-pyhd8ed1ab_0.conda#723268a468177cd44568eb8f794e0d80
https://conda.anaconda.org/conda-forge/noarch/jupyterlab_pygments-0.2.2-pyhd8ed1ab_0.tar.bz2#243f63592c8e449f40cd42eb5cf32f40
https://conda.anaconda.org/conda-forge/noarch/mako-1.2.4-pyhd8ed1ab_0.tar.bz2#0d072f0edc017b6318dbab701e053f94
https://conda.anaconda.org/conda-forge/noarch/platformdirs-2.6.2-pyhd8ed1ab_0.conda#0b4cc3f8181b0d8446eb5387d7848a54
https://conda.anaconda.org/conda-forge/linux-aarch64/sqlalchemy-2.0.1-py39h599bc27_0.conda#33bf0e134ca4279c03a71f8720931d82
https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.2-pyhd8ed1ab_0.conda#e7df0fdd404616638df5ece6e69ba7af
https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.2.5-pyh9f0ad1d_2.tar.bz2#5266fcd697043c59621fda522b3d78ee
https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.2.6-pyhd8ed1ab_0.conda#078979d33523cb477bd1916ce41aacc9
https://conda.anaconda.org/conda-forge/noarch/alembic-1.9.1-pyhd8ed1ab_0.conda#5519188d282629ce4fef73eb87285cbe
https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-21.3.0-pyhd8ed1ab_0.tar.bz2#a0b402db58f73aaab8ee0ca1025a362e
https://conda.anaconda.org/conda-forge/linux-aarch64/jupyter_core-5.1.1-py39h4420490_0.conda#000c9bd1bde07a73caf4e2b333faeb43
https://conda.anaconda.org/conda-forge/linux-aarch64/jupyter_core-5.2.0-py39h4420490_0.conda#0febdd95c4b1080857f066ff497ba3c1
https://conda.anaconda.org/conda-forge/noarch/jupyter_telemetry-0.1.0-pyhd8ed1ab_1.tar.bz2#bb9ebdb6d5aa2622484aff1faceee181
https://conda.anaconda.org/conda-forge/noarch/oauthlib-3.2.2-pyhd8ed1ab_0.tar.bz2#8f882b197fd9c4941a787926baea4868
https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.36-pyha770c72_0.conda#4d79ec192e0bfd530a254006d123b9a6
https://conda.anaconda.org/conda-forge/noarch/pyopenssl-22.1.0-pyhd8ed1ab_0.tar.bz2#fbfa0a180d48c800f922a10a114a8632
https://conda.anaconda.org/conda-forge/noarch/pyopenssl-23.0.0-pyhd8ed1ab_0.conda#d41957700e83bbb925928764cb7f8878
https://conda.anaconda.org/conda-forge/noarch/certipy-0.1.3-py_0.tar.bz2#23486713ef5712923e7c57cae609b22e
https://conda.anaconda.org/conda-forge/noarch/ipython-8.7.0-pyh41d4057_0.conda#adc2f96edf35423c091dba93b642573a
https://conda.anaconda.org/conda-forge/noarch/jupyter_client-7.4.8-pyhd8ed1ab_0.conda#bd4951aa5fbf3336a249e25c90f50333
https://conda.anaconda.org/conda-forge/noarch/nbformat-5.7.1-pyhd8ed1ab_0.conda#facb42913140f1a399a5ebb65b30915e
https://conda.anaconda.org/conda-forge/noarch/urllib3-1.26.13-pyhd8ed1ab_0.conda#3078ef2359efd6ecadbc7e085c5e0592
https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.19.4-pyh210e3f2_0.conda#65372b6dd819e2c36345cf91eeb4ff06
https://conda.anaconda.org/conda-forge/noarch/ipython-8.9.0-pyh41d4057_0.conda#399217b9b00e59e990585576eeca3dde
https://conda.anaconda.org/conda-forge/noarch/jupyter_client-8.0.2-pyhd8ed1ab_0.conda#cbb8d182b6053ce14b5fe60ef1e36fbb
https://conda.anaconda.org/conda-forge/noarch/nbformat-5.7.3-pyhd8ed1ab_0.conda#9714111cb6c7dbbc9a9f34de205c2f29
https://conda.anaconda.org/conda-forge/noarch/urllib3-1.26.14-pyhd8ed1ab_0.conda#01f33ad2e0aaf6b5ba4add50dad5ad29
https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.21.1-pyh210e3f2_0.conda#225e7869419b8bcae5d3165eba50204d
https://conda.anaconda.org/conda-forge/noarch/nbclient-0.7.2-pyhd8ed1ab_0.conda#6c7b0d75b66a220274bb5a28c23197f2
https://conda.anaconda.org/conda-forge/noarch/requests-2.28.1-pyhd8ed1ab_1.tar.bz2#089382ee0e2dc2eae33a04cc3c2bddb0
https://conda.anaconda.org/conda-forge/noarch/requests-2.28.2-pyhd8ed1ab_0.conda#11d178fc55199482ee48d6812ea83983
https://conda.anaconda.org/conda-forge/noarch/ipywidgets-8.0.2-pyhd8ed1ab_1.tar.bz2#81b7f46918555bf911ad2ba2f3259094
https://conda.anaconda.org/conda-forge/linux-aarch64/jupyterhub-base-1.5.0-py39ha65689a_1.tar.bz2#4a9725abb86dbd756dc201db57022055
https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.2.7-pyhd8ed1ab_0.conda#dce063b1f5d6193646fc2ac43f88b77f
https://conda.anaconda.org/conda-forge/noarch/jupyter_server-1.23.4-pyhd8ed1ab_0.conda#35b7e9267926e864cc70ce137e6588ca
https://conda.anaconda.org/conda-forge/noarch/nbconvert-pandoc-7.2.7-pyhd8ed1ab_0.conda#7d48776bb3fdfa6447267c413a480ccd
https://conda.anaconda.org/conda-forge/noarch/jupyter-resource-usage-0.6.3-pyhd8ed1ab_0.tar.bz2#9d26ebd67e0e22aba13ac8a490d88d9e
https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.17.0-pyhd8ed1ab_0.conda#68364b266a989bb9829943bfd33187d8
https://conda.anaconda.org/conda-forge/noarch/nbconvert-7.2.7-pyhd8ed1ab_0.conda#b019fe41e6f6b88e0557532514f39cff
https://conda.anaconda.org/conda-forge/noarch/jupyterhub-base-3.1.1-pyh2a2186d_0.conda#78fc5dfd4577a7ba172fa65eb64b6afb
https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.2.9-pyhd8ed1ab_0.conda#a9e1826152e79416db71c51b0d3af28c
https://conda.anaconda.org/conda-forge/noarch/jupyter_server-1.23.5-pyhd8ed1ab_0.conda#e3ae1d46749f48a1875b560fca41cb0c
https://conda.anaconda.org/conda-forge/noarch/nbconvert-pandoc-7.2.9-pyhd8ed1ab_0.conda#4a8dc94c7c2f3736dc4b91ec345d5b4b
https://conda.anaconda.org/conda-forge/noarch/jupyter-resource-usage-0.7.0-pyhd8ed1ab_0.conda#c57567d49d926826b1f852712ac8acfa
https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.19.0-pyhd8ed1ab_0.conda#9dc0706ec2f8e13b7a0db9d6a19051ff
https://conda.anaconda.org/conda-forge/noarch/nbconvert-7.2.9-pyhd8ed1ab_0.conda#523aaa3affb003ab0e68dbc24c9027f4
https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.2-pyhd8ed1ab_0.tar.bz2#40be846cd4e78672a40e43db9dae753c
https://conda.anaconda.org/conda-forge/noarch/nbclassic-0.4.8-pyhd8ed1ab_0.tar.bz2#f4f150f83ed90a1b833e6081bbf38257
https://conda.anaconda.org/conda-forge/noarch/nbclassic-0.5.1-pyhd8ed1ab_0.conda#cf832e3d48ef22528c676ed6e4b4085a
https://conda.anaconda.org/conda-forge/noarch/notebook-6.4.12-pyha770c72_0.tar.bz2#77fc67c5bbea44fd41e8bbe2ac82d1ad
https://conda.anaconda.org/conda-forge/noarch/jupyter-offlinenotebook-0.2.2-pyh1d7be83_0.tar.bz2#fe55056ce4bc4bd4953ba440270735fb
https://conda.anaconda.org/conda-forge/linux-aarch64/jupyterhub-singleuser-1.5.0-py39ha65689a_1.tar.bz2#428f24f44794a428a875ee08be6eee31
https://conda.anaconda.org/conda-forge/noarch/jupyterlab-3.4.8-pyhd8ed1ab_0.tar.bz2#6fbf13b0e8a6fa24bbae91205e8ce467
https://conda.anaconda.org/conda-forge/noarch/nteract_on_jupyter-2.1.3-py_0.tar.bz2#1430ccd983ae6b161e2fbf4377965f7a
https://conda.anaconda.org/conda-forge/noarch/jupyterhub-singleuser-3.1.1-pyh2a2186d_0.conda#6d0a3394efe9ff7c0ad1ed03a6ca3720

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@ -1,15 +1,15 @@
# AUTO GENERATED FROM environment.yml, DO NOT MANUALLY MODIFY
# Generated on 2023-01-01 11:30:44 UTC
# Generated on 2023-02-03 12:34:00 UTC
channels:
- conda-forge
dependencies:
- python=3.9.*
- nodejs=16
- nodejs=18
- pip
- ipywidgets==8.0.2
- jupyter-offlinenotebook==0.2.2
- jupyter-resource-usage==0.6.3
- jupyter-resource-usage==0.7.0
- jupyterlab==3.4.8
- jupyterhub-singleuser==1.5.0
- jupyterhub-singleuser==3.1.1
- notebook==6.4.12
- nteract_on_jupyter==2.1.3

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@ -1,13 +1,13 @@
channels:
- conda-forge
dependencies:
- python=3.7
- nodejs=16
- python=3.10
- nodejs=18
- pip
- ipywidgets==8.0.2
- jupyter-offlinenotebook==0.2.2
- jupyter-resource-usage==0.6.3
- jupyter-resource-usage==0.7.0
- jupyterlab==3.4.8
- jupyterhub-singleuser==1.5.0
- jupyterhub-singleuser==3.1.1
- notebook==6.4.12
- nteract_on_jupyter==2.1.3

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@ -117,7 +117,7 @@ if __name__ == "__main__":
"py",
nargs="*",
help="Python version(s) to update and freeze",
default=("3.7", "3.8", "3.9", "3.10"),
default=("3.7", "3.8", "3.9", "3.10", "3.11"),
)
parser.add_argument(
"platform",
@ -126,7 +126,7 @@ if __name__ == "__main__":
default=("linux-64", "linux-aarch64"),
)
args = parser.parse_args()
default_py = "3.7"
default_py = "3.10"
for py in args.py:
for platform in args.platform:
env_file = pathlib.Path(str(ENV_FILE_T).format(py=py))

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@ -5,7 +5,7 @@ set -ex
cd $(dirname $0)
export MAMBA_VERSION=1.0.0
export MAMBA_VERSION=1.1.0
export CONDA_VERSION=4.13.0
URL="https://anaconda.org/conda-forge/micromamba/${MAMBA_VERSION}/download/${CONDA_PLATFORM}/micromamba-${MAMBA_VERSION}-0.tar.bz2"
@ -34,6 +34,7 @@ channels:
auto_update_conda: false
show_channel_urls: true
update_dependencies: false
experimental_sat_error_message: true
# channel_priority: flexible
EOT

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@ -1,17 +0,0 @@
# pip-installed packages for Python 3.5
# these should only be packages
# whose versions are too new to have builds available for Python 3.5
alembic==1.0.3
async-generator==1.10
chardet==3.0.4
idna==2.7
jupyterhub==0.9.4
mako==1.0.7
notebook==5.7.8
nteract-on-jupyter==1.9.6
pamela==0.3.0
python-editor==1.0.3
python-oauth2==1.1.0
requests==2.20.1
sqlalchemy==1.2.14
urllib3==1.24.1

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@ -82,6 +82,14 @@ class JuliaRequireBuildPack(PythonBuildPack):
else:
julia_arch = "x86_64"
julia_arch_short = "x64"
if V(self.julia_version) < V("0.7"):
# IJulia with Julia 0.6 isn't compatible with more recent jupyter-core
# point it to the one in the kernel env
# I _think_ this is only relevant during installation
jupyter = "${KERNEL_PYTHON_PREFIX}/bin/jupyter"
else:
jupyter = "${NB_PYTHON_PREFIX}/bin/jupyter"
return super().get_build_env() + [
("JULIA_PATH", "${APP_BASE}/julia"),
("JULIA_HOME", "${JULIA_PATH}/bin"), # julia <= 0.6
@ -91,7 +99,7 @@ class JuliaRequireBuildPack(PythonBuildPack):
("JULIA_VERSION", self.julia_version),
("JULIA_ARCH", julia_arch),
("JULIA_ARCH_SHORT", julia_arch_short),
("JUPYTER", "${NB_PYTHON_PREFIX}/bin/jupyter"),
("JUPYTER", jupyter),
]
def get_path(self):

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@ -2,11 +2,11 @@
# This downloads and installs a pinned version of nix
set -ex
NIX_VERSION="2.3.9"
NIX_VERSION="2.13.2"
if [ "$NIX_ARCH" = "aarch64" ]; then
NIX_SHA256="733a26911193fdd44d5d68342075af5924d8c0701aae877e51a38d74ee9f4ff8"
NIX_SHA256="4ae275a46a2441d3459ae389a90ce6e8f7eff12c2a084b2d003ba6f8d0899603"
else
NIX_SHA256="49763fd7fa06bcb712ced2f3f11afd275e3a4d7bc5ff0d6fd1d50a4c3ce7bbf4"
NIX_SHA256="beaec0f28899c22f33adbe30e4ecfceef87b797278c5210ee693e22e9719dfb4"
fi
# Do all our operations in /tmp, since we can't rely on current directory being writeable yet.

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@ -113,8 +113,8 @@ class PipfileBuildPack(CondaBuildPack):
# environment.
assemble_scripts = super().get_assemble_scripts()
if self.py2:
# using Python 2 as a kernel, but Python 3 for the notebook server
if self.separate_kernel_env:
# using legacy Python (e.g. 2.7) as a kernel
# requirements3.txt allows for packages to be installed to the
# notebook servers Python environment

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@ -45,8 +45,8 @@ class PythonBuildPack(CondaBuildPack):
# whether it's distinct from the notebook or the same.
pip = "${KERNEL_PYTHON_PREFIX}/bin/pip"
scripts = []
if self.py2:
# using python 2 kernel,
if self.separate_kernel_env:
# using legacy Python kernel
# requirements3.txt allows installation in the notebook server env
nb_requirements_file = self.binder_path("requirements3.txt")
if os.path.exists(nb_requirements_file):

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@ -5,7 +5,7 @@ set -ex
# check node system package and its version
which node
node --version
node --version | grep v16
node --version | grep v18
which npm
npm --version

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@ -0,0 +1,11 @@
# originally xeus-cling@0.6.0
# added python=3.9 pin because implicit downgrade of Python from 3.10 to 3.9 isn't allowed
name: xeus-cling
channels:
- conda-forge
dependencies:
- python=3.9
- xeus-cling=0.6.0
- xtensor=0.20.8
- xtensor-blas=0.16.1
- notebook

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@ -0,0 +1,30 @@
#!/usr/bin/env python3
import json
import pprint
from subprocess import check_output
def json_sh(cmd):
"""Run a command that produces JSON on stdout and return the parsed result"""
buf = check_output(cmd)
return json.loads(buf.decode("utf8", "replace"))
conda_pkg_list = json_sh(["conda", "list", "--json"])
pprint.pprint(conda_pkg_list)
# make it a dict
pkgs = {pkg["name"]: pkg for pkg in conda_pkg_list}
# base env resolved
assert pkgs["python"]["version"].startswith("3.9"), pkgs["python"]
assert "xeus-cling" in pkgs
assert pkgs["xeus-cling"]["version"] == "0.6.0"
# verify downgrade
# this may be brittle, but it's unlikely any of these old versions
# of packages will be rebuilt
# xeus-cling 0.6.0 pins xeus 0.20, which pins openssl 1.1.1,
# which in turn downgrades Python from >=3.9.16 to 3.9.6
assert pkgs["openssl"]["version"].startswith("1.1.1"), pkgs["openssl"]["version"]
assert pkgs["python"]["version"] == "3.9.6", pkgs["python"]["version"]

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@ -4,8 +4,8 @@ import sys
def test_sys_version():
"""The default python version should be 3.7"""
assert sys.version_info[:2] == (3, 7)
"""The default python version should be 3.10"""
assert sys.version_info[:2] == (3, 10)
def test_there():

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@ -1,7 +1,7 @@
#!/usr/bin/env python
import sys
assert sys.version_info[:2] == (3, 7), sys.version
assert sys.version_info[:2] == (3, 10), sys.version
# verify that we have Python 2 and Python 3 kernelspecs
from jupyter_client.kernelspec import KernelSpecManager

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@ -1,17 +1,28 @@
#!/usr/bin/env python
import os
import sys
from subprocess import check_output
from subprocess import STDOUT, check_output
assert sys.version_info[:2] == (3, 5), sys.version
assert sys.version_info[:2] == (3, 10), sys.version
out = check_output(["micromamba", "--version"]).decode("utf8").strip()
assert out == "1.0.0", out
out = check_output(["mamba", "--version"]).decode("utf8").strip()
def sh(cmd, **kwargs):
return check_output(cmd, **kwargs).decode("utf8").strip()
kernel_python = os.path.join(os.environ["KERNEL_PYTHON_PREFIX"], "bin", "python")
out = sh([kernel_python, "--version"], stderr=STDOUT)
v = out.split()[1]
assert v[:3] == "3.5", out
out = sh(["micromamba", "--version"])
assert out == "1.1.0", out
out = sh(["mamba", "--version"])
assert (
out
== """mamba 1.0.0
== """mamba 1.1.0
conda 4.13.0"""
), out
import numpy
sh([kernel_python, "-c", "import numpy"])

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@ -0,0 +1,3 @@
dependencies:
- python=3.6
- numpy

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@ -0,0 +1,9 @@
#!/bin/bash
set -ex
# mamba/conda installs in kernel env
mamba install -y make
# note `pip` on path is _not_ the kernel env!
# is this what we (or users) want?
pip install pytest

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@ -0,0 +1,3 @@
#!/bin/bash
set -ex
pytest -vs ./verify.py

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@ -0,0 +1,85 @@
"""
tests to be run with pytest inside the container
can't be called test_whatever.py because then _host_ pytest will try to run it!
"""
import json
import os
import shutil
from subprocess import check_output
from pytest import fixture
kernel_prefix = os.environ.get("KERNEL_PYTHON_PREFIX")
server_prefix = os.environ.get("NB_PYTHON_PREFIX")
def json_cmd(cmd):
"""Run a command and decode its JSON output"""
out = check_output(cmd)
return json.loads(out.decode("utf8", "replace"))
def conda_pkgs(prefix):
"""Conda package list as a dict"""
conda_json = json_cmd(["conda", "list", "--json", "-p", prefix])
return {pkg["name"]: pkg for pkg in conda_json}
def pip_pkgs(prefix):
"""Pip package list as a dict"""
pip_json = json_cmd([f"{prefix}/bin/pip", "list", "--format=json"])
return {pkg["name"]: pkg for pkg in pip_json}
@fixture(scope="session")
def kernel_conda():
return conda_pkgs(kernel_prefix)
@fixture(scope="session")
def server_conda():
return conda_pkgs(server_prefix)
@fixture(scope="session")
def kernel_pip():
return pip_pkgs(kernel_prefix)
@fixture(scope="session")
def server_pip():
return pip_pkgs(server_prefix)
def test_which_python():
# server python comes first. Is this expected?
assert shutil.which("python3") == f"{server_prefix}/bin/python3"
def test_kernel_env(kernel_conda):
assert kernel_prefix != server_prefix
kernel_python = kernel_conda["python"]["version"]
assert kernel_python[:3] == "3.6"
# test environment.yml packages
assert "numpy" in kernel_conda
def test_server_env(server_conda):
# this should be the default version
# it will need updating when the default changes
assert server_conda["python"]["version"].split(".")[:2] == ["3", "10"]
def test_conda_install(kernel_conda, server_conda):
# test that postBuild conda install went in the kernel env
assert "make" in kernel_conda
assert "make" not in server_conda
def test_pip_install(kernel_pip, server_pip):
# server env comes first for pip
# is this expected?
assert "pytest" not in kernel_pip
assert "pytest" in server_pip

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@ -10,30 +10,24 @@
ref: b8259dac9eb
verify: python -c 'import matplotlib'
# Test that a full remote/ref works
- name: Binder Examples - Requirements
- name: Binder Examples - Requirements - origin/main
url: https://github.com/binder-examples/requirements
ref: origin/main
verify: python -c 'import matplotlib'
# Test that ref is added to branch if not present
- name: Binder Examples - Requirements
- name: Binder Examples - Requirements - main
url: https://github.com/binder-examples/requirements
ref: main
verify: python -c 'import matplotlib'
# Test that tags work + ref is added to tag if not present
- name: Binder Examples - Requirements
- name: Binder Examples - Requirements - tag
url: https://github.com/binder-examples/requirements
ref: python-3.7
ref: python-3.8
verify: python -c 'import matplotlib'
# Test that custom channels and downgrades don't
# get blocked by pinning
- name: Xeus-Cling
url: https://github.com/QuantStack/xeus-cling
ref: 0.6.0
verify: jupyter kernelspec list
# Zenodo record of https://github.com/binder-examples/requirements
- name: 10.5281/zenodo.3242074
url: 10.5281/zenodo.3242074
verify: python -c 'import matplotlib'
verify: /srv/conda/envs/kernel/bin/python -c 'import matplotlib'
# Test that files in git-lfs are properly cloned
- name: LFS
url: https://github.com/binderhub-ci-repos/lfs

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@ -1,8 +1,8 @@
#!/usr/bin/env python
#!/srv/conda/envs/kernel/bin/python
import sys
import pypi_pkg_test
import there
print(sys.version_info)
assert sys.version_info[:2] == (3, 6)
import pypi_pkg_test # noqa
import there # noqa

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@ -95,7 +95,6 @@ def test_detect_dataverse(test_input, expected, requests_mock):
@pytest.fixture
def dv_files(tmpdir):
f1 = tmpdir.join("some-file.txt")
f1.write("some content")

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@ -35,7 +35,6 @@ hydroshare_data = {
def test_content_id(requests_mock):
requests_mock.get(re.compile("https://"), json=hydroshare_data)
requests_mock.get(re.compile("https://doi.org"), json=doi_resolver)

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@ -2,7 +2,7 @@
# Verify that the default just provides a py3 environment with jupyter
import sys
assert sys.version_info[:2] == (3, 7), sys.version
assert sys.version_info[:2] == (3, 10), sys.version
import jupyter
with open("/tmp/appendix") as f:

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@ -1,6 +1,6 @@
#!/usr/bin/env python
import sys
assert sys.version_info[:2] == (3, 7)
assert sys.version_info[:2] == (3, 10)
import numpy

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@ -1,4 +1,4 @@
#!/usr/bin/env python3
#!/srv/conda/envs/kernel/bin/python
import sys
print(sys.version_info)