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v0.10.1 & turn into multi-output recipe to account for optional installs #14
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@@ -0,0 +1,19 @@ | ||
cdt_name: | ||
- cos6 | ||
channel_sources: | ||
- conda-forge,defaults | ||
channel_targets: | ||
- conda-forge main | ||
docker_image: | ||
- quay.io/condaforge/linux-anvil-comp7 | ||
pin_run_as_build: | ||
python: | ||
min_pin: x.x | ||
max_pin: x.x | ||
python: | ||
- 3.6.* *_cpython | ||
target_platform: | ||
- linux-64 | ||
zip_keys: | ||
- - cdt_name | ||
- docker_image |
Original file line number | Diff line number | Diff line change |
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@@ -0,0 +1,16 @@ | ||
MACOSX_DEPLOYMENT_TARGET: | ||
- '10.9' | ||
channel_sources: | ||
- conda-forge,defaults | ||
channel_targets: | ||
- conda-forge main | ||
macos_machine: | ||
- x86_64-apple-darwin13.4.0 | ||
pin_run_as_build: | ||
python: | ||
min_pin: x.x | ||
max_pin: x.x | ||
python: | ||
- 3.6.* *_cpython | ||
target_platform: | ||
- osx-64 |
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,12 @@ | ||
channel_sources: | ||
- conda-forge,defaults | ||
channel_targets: | ||
- conda-forge main | ||
pin_run_as_build: | ||
python: | ||
min_pin: x.x | ||
max_pin: x.x | ||
python: | ||
- 3.6.* *_cpython | ||
target_platform: | ||
- win-64 |
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@@ -1,37 +1,187 @@ | ||
{% set name = "modin" %} | ||
{% set version = "0.10.0" %} | ||
{% set version = "0.10.1" %} | ||
|
||
package: | ||
name: modin | ||
name: modin-packages | ||
version: {{ version }} | ||
|
||
source: | ||
url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz | ||
sha256: 88ce4def4a1145d31d207be55b9c3ba914e084ccfebace1d52b03507df258fd2 | ||
url: https://github.com/modin-project/modin/archive/refs/tags/{{ version }}.tar.gz | ||
sha256: a0ac09d6ef94185c5dd949a9cec047e5b922e7dd5884abda1e455c76d8958cd4 | ||
patches: | ||
# Remove all requirements from setup.py - they should be handled here. | ||
# The point is to create a "patch failed" conflict when dependencies change | ||
# in upstream so this doesn't go unnoticed. | ||
- patches/0001-Remove-all-dependencies-from-setup.py.patch | ||
|
||
build: | ||
number: 0 | ||
script: '{{ PYTHON }} -m pip install . --no-deps --ignore-installed -vv ' | ||
# noarch disabled because the recipe now has selector for Ray, see below | ||
# noarch: python | ||
skip: true # [py<37] | ||
|
||
requirements: | ||
host: | ||
- pip | ||
- python | ||
run: | ||
- python | ||
- pandas ==1.2.3 | ||
- dask >=2.12 | ||
- distributed >=2.12 | ||
# there is no Ray in conda-forge for MacOS yet, see https://github.com/conda-forge/ray-packages-feedstock/issues/2 | ||
- ray-core >=1.0 # [win or linux] | ||
|
||
test: | ||
imports: | ||
- modin | ||
- modin.pandas | ||
# the outputs map the modin options on PyPI (see upstream definition | ||
# https://github.com/modin-project/modin/blob/0.10.1/setup.py#L40-L45) | ||
# from "modin[<option>]" to "modin-<option>" as a conda-forge package | ||
outputs: | ||
- name: modin-all | ||
requirements: | ||
host: | ||
run: | ||
- python | ||
- {{ pin_subpackage('modin-core', exact=True) }} | ||
- {{ pin_subpackage('modin-dask', exact=True) }} | ||
# ray does not have OSX builds yet | ||
- {{ pin_subpackage('modin-ray', exact=True) }} # [not osx] | ||
# Note: modin-omnisci is conda-only, its dependencies were never published on PyPI | ||
- {{ pin_subpackage('modin-omnisci', exact=True) }} # [linux] | ||
#- {{ pin_subpackage('modin-remote', exact=True) }} # turned off for now, see below | ||
#- {{ pin_subpackage('modin-spreadsheet', exact=True) }} # turned off for now, see below | ||
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||
#- {{ pin_subpackage('modin-sql', exact=True) }} # turned off for now, see below | ||
test: | ||
imports: | ||
# dummy test; actual tests are in subpackages | ||
- modin | ||
|
||
# compatibility with packagename before split into options | ||
- name: modin | ||
requirements: | ||
host: | ||
run: | ||
- python | ||
# modin needs at least one engine; use dask as it is more light-weight than ray | ||
- {{ pin_subpackage('modin-dask', exact=True) }} | ||
test: | ||
imports: | ||
- modin | ||
- modin.pandas | ||
|
||
- name: modin-core | ||
build: | ||
script: 'python -m pip install . --no-deps --ignore-installed -vv' | ||
requirements: | ||
host: | ||
- pip | ||
- python | ||
run: | ||
- python | ||
- packaging | ||
- pandas ==1.3.0 | ||
- numpy >=1.16.5 | ||
test: | ||
imports: | ||
- modin | ||
- modin.pandas | ||
|
||
- name: modin-dask | ||
build: | ||
requirements: | ||
host: | ||
- python | ||
run: | ||
- python | ||
- {{ pin_subpackage('modin-core', exact=True) }} | ||
- dask >=2.22.0 | ||
- distributed >=2.22.0 | ||
test: | ||
imports: | ||
- modin | ||
- modin.pandas | ||
commands: | ||
- python -c "import modin.pandas as pd, modin.config as cfg; cfg.Engine.put('Dask'); df = pd.DataFrame([])" | ||
|
||
- name: modin-ray | ||
build: | ||
# there is no Ray in conda-forge for MacOS yet, see conda-forge/ray-packages-feedstock#2 | ||
skip: true # [osx] | ||
requirements: | ||
host: | ||
- python | ||
run: | ||
- python | ||
- {{ pin_subpackage('modin-core', exact=True) }} | ||
- ray-core >=1.4.0 | ||
- pyarrow >=1.0 | ||
test: | ||
imports: | ||
- modin | ||
- modin.pandas | ||
commands: | ||
- python -c "import modin.pandas as pd, modin.config as cfg; cfg.Engine.put('Ray'); df = pd.DataFrame([])" | ||
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||
- name: modin-omnisci | ||
build: | ||
# there is no OmniSci on anything but Linux for now | ||
skip: true # [not linux] | ||
requirements: | ||
host: | ||
- python | ||
run: | ||
- python | ||
- {{ pin_subpackage('modin-ray', exact=True) }} | ||
- pyomniscidbe | ||
test: | ||
imports: | ||
- modin | ||
- modin.pandas | ||
commands: | ||
- python -c "import modin.experimental.pandas as pd, modin.config as cfg; cfg.Engine.put('Ray'); cfg.Backend.put('OmniSci'); df = pd.DataFrame([])" | ||
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- name: modin-sql | ||
build: | ||
# Dependency dfsql is not in conda-forge yet. | ||
skip: true | ||
requirements: | ||
host: | ||
- python | ||
run: | ||
- python | ||
- {{ pin_subpackage('modin-core', exact=True) }} | ||
- dfsql >=0.2.6 | ||
test: | ||
imports: | ||
# are there more specific imports?! | ||
- modin | ||
|
||
- name: modin-remote | ||
build: | ||
# Dependency rpyc is not in conda-forge yet. | ||
# Also requires ray-autoscaler which is now absent because | ||
# its dependencies on conda-forge are too ancient. | ||
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There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. @vnlitvinov, I don't see the dependency on There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. No, just knowledge of how things are implemented inside (as I was the one who implemented them 😄). |
||
skip: true | ||
requirements: | ||
host: | ||
- python | ||
run: | ||
- python | ||
- {{ pin_subpackage('modin-core', exact=True) }} | ||
- boto3 ==1.4.8 | ||
- cloudpickle | ||
- rpyc ==4.1.5 | ||
test: | ||
imports: | ||
# are there more specific imports?! | ||
- modin | ||
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||
# TODO: bring https://pypi.org/project/modin-spreadsheet/ to conda-forge | ||
# as modin-spreadsheet-core, leave modin-spreadsheet to be a subpackage here; | ||
# see discussion with upstream developers here: | ||
# https://github.com/conda-forge/modin-feedstock/pull/14/files#r595534632 | ||
- name: modin-spreadsheet | ||
build: | ||
# dependency modin-spreadsheet-core is not in conda-forge yet | ||
skip: true | ||
requirements: | ||
host: | ||
- python | ||
run: | ||
- python | ||
- {{ pin_subpackage('modin-core', exact=True) }} | ||
- modin-spreadsheet >=0.1.0 | ||
test: | ||
imports: | ||
# are there more specific imports?! | ||
- modin | ||
|
||
about: | ||
home: https://github.com/modin-project/modin | ||
license: Apache-2.0 | ||
|
@@ -45,3 +195,4 @@ extra: | |
recipe-maintainers: | ||
- devin-petersohn | ||
- h-vetinari | ||
feedstock-name: modin |
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The reason will be displayed to describe this comment to others. Learn more.
might be worth adding a comment explaining why we take github instead of pypi
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You can if you want. It might just be this release where the sources are different - for the feedstocks I maintain, I consider PyPI & GH sources to be completely equivalent (actually with a slight preference to GH), and not really worth commenting about. But YMMV.