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Pin bokeh and coiled for 0.1.1 release #524

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merged 5 commits into from
Nov 17, 2022
Merged

Pin bokeh and coiled for 0.1.1 release #524

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0dc9d49
revert all but dask and coiled [test-upstream]
ncclementi Nov 14, 2022
6f22adb
revert to 0.1.0 packages versions add bokeh and coiled pins
ncclementi Nov 15, 2022
5d457e4
put blosc back for consistency
ncclementi Nov 15, 2022
034609e
Merge branch 'main' into revert-update-ver
ncclementi Nov 16, 2022
84272c0
Merge branch 'main' of https://github.com/coiled/coiled-runtime into …
jrbourbeau Nov 16, 2022
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38 changes: 19 additions & 19 deletions recipe/meta.yaml
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Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
{% set name = "coiled-runtime" %}
{% set version = "0.2.0" + environ.get("VERSION_SUFFIX", '') %}
{% set dask_version = environ.get("DASK_VERSION", "2022.10.2") %}
{% set distributed_version = environ.get("DISTRIBUTED_VERSION", "2022.10.2") %}
{% set dask_version = environ.get("DASK_VERSION", "2022.6.0") %}
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@jrbourbeau since we are doing a patch, should we bump to 2022.6.1 see #306
cc: @hendrikmakait

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Let's stick with 2022.6.0 to keep this PR as minimal as possible. I expect we'll push out another release soon where we update other package versions

{% set distributed_version = environ.get("DISTRIBUTED_VERSION", "2022.6.0") %}

package:
name: {{ name|lower }}
Expand All @@ -23,34 +23,34 @@ requirements:
- python >=3.8,<3.11
- pip
- coiled >=0.2.41
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I'm leaving this in as a protective measure

- numpy ==1.23.3
- pandas ==1.5.1
- numpy ==1.21.6
- pandas ==1.4.2
- dask =={{ dask_version }}
- distributed =={{ distributed_version }}
- fsspec ==2022.10.0
- s3fs ==2022.10.0
- gcsfs ==2022.10.0
- pyarrow ==9.0.0
- jupyterlab ==3.4.8
- dask-labextension ==5.3.0
- lz4 ==4.0.2
- ipywidgets ==7.7.2
- fsspec ==2022.5.0
- s3fs ==2022.5.0
- gcsfs ==2022.5.0
- pyarrow ==8.0.0
- jupyterlab ==3.4.2
- dask-labextension ==5.2.0
- lz4 ==4.0.0
- ipywidgets ==7.7.0
- numba ==0.56.3
- scikit-learn ==1.1.3
- scikit-learn ==1.1.1
- ipycytoscape ==1.3.3
- click ==8.1.3
- xarray ==2022.10.0
- zarr ==2.13.3
- msgpack-python ==1.0.4
- cloudpickle ==2.2.0
- xarray ==2022.3.0
- zarr ==2.11.3
- msgpack-python ==1.0.3
- cloudpickle ==2.1.0
- tornado ==6.1
- toolz ==0.12.0
- python-blosc ==1.10.2
- zict ==2.2.0
- xgboost ==1.6.2
- xgboost ==1.6.1
- dask-ml ==2022.5.27
- openssl >1.1.0g
- pynvml ==11.4.1
- optuna ==3.0.3
- bokeh ==2.4.3

test:
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3 changes: 2 additions & 1 deletion setup.py
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Expand Up @@ -24,6 +24,7 @@ def get_requirements():
requirements[requirement.name] = str(requirement.specifier)

# Handle packages that have different names on conda-forge and PyPI
requirements["blosc"] = requirements.pop("python-blosc")
requirements["msgpack"] = requirements.pop("msgpack-python")

# Exclude packages not available on PyPI
Expand All @@ -43,7 +44,7 @@ def get_requirements():

setup(
name="coiled-runtime",
version="0.2.0",
version="0.1.1",
description="Simple and fast way to get started with Dask",
url="https://github.com/coiled/coiled-runtime",
license="BSD",
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1 change: 1 addition & 0 deletions tests/runtime/test_build.py
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Expand Up @@ -56,6 +56,7 @@ def get_meta_specifiers() -> dict[str, SpecifierSet]:

_conda_to_pip_names = {
"msgpack-python": "msgpack",
"python-blosc": "blosc",
}

_pip_to_conda_names = {v: k for k, v in _conda_to_pip_names.items()}
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