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Add conda builds to our github actions workflow #87

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merged 1 commit into from
May 13, 2022
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@benfred benfred commented May 12, 2022

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@benfred benfred marked this pull request as draft May 12, 2022 17:55
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https://nvidia-merlin.github.io/core/review/pr-87

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GitHub pull request #87 of commit a6bb6b20816ac02ff3849056ed7e9fd275754155, no merge conflicts.
Running as SYSTEM
Setting status of a6bb6b20816ac02ff3849056ed7e9fd275754155 to PENDING with url https://10.20.13.93:8080/job/merlin_core/49/console and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_core
using credential ce87ff3c-94f0-400a-8303-cb4acb4918b5
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/core # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/core
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems username and pass
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/core +refs/pull/87/*:refs/remotes/origin/pr/87/* # timeout=10
 > git rev-parse a6bb6b20816ac02ff3849056ed7e9fd275754155^{commit} # timeout=10
Checking out Revision a6bb6b20816ac02ff3849056ed7e9fd275754155 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f a6bb6b20816ac02ff3849056ed7e9fd275754155 # timeout=10
Commit message: "debug github context for upload"
 > git rev-list --no-walk 5ab18313ac06faa3f88773f50a8228488bb406c6 # timeout=10
[merlin_core] $ /bin/bash /tmp/jenkins8366215791920025170.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: setuptools in /usr/local/lib/python3.8/dist-packages (61.0.0)
Collecting setuptools
  Downloading setuptools-62.2.0-py3-none-any.whl (1.1 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.1/1.1 MB 15.7 MB/s eta 0:00:00
Installing collected packages: setuptools
  Attempting uninstall: setuptools
    Found existing installation: setuptools 61.0.0
    Uninstalling setuptools-61.0.0:
      Successfully uninstalled setuptools-61.0.0
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
google-auth 1.35.0 requires cachetools<5.0,>=2.0.0, but you have cachetools 5.0.0 which is incompatible.
tensorflow-gpu 2.8.0 requires keras<2.9,>=2.8.0rc0, but you have keras 2.6.0 which is incompatible.
tensorflow-gpu 2.8.0 requires tensorboard<2.9,>=2.8, but you have tensorboard 2.6.0 which is incompatible.
Successfully installed setuptools-62.2.0
WARNING: You are using pip version 22.0.4; however, version 22.1 is available.
You should consider upgrading via the '/usr/bin/python3 -m pip install --upgrade pip' command.
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_core/core, configfile: pyproject.toml
plugins: anyio-3.5.0, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 342 items / 1 skipped

tests/unit/core/test_dispatch.py .. [ 0%]
tests/unit/dag/test_base_operator.py .... [ 1%]
tests/unit/dag/test_column_selector.py .......................... [ 9%]
tests/unit/dag/test_tags.py ...... [ 11%]
tests/unit/dag/ops/test_selection.py ... [ 11%]
tests/unit/io/test_io.py ............................................... [ 25%]
................................................................ [ 44%]
tests/unit/schema/test_column_schemas.py ............................... [ 53%]
........................................................................ [ 74%]
....................................................................... [ 95%]
tests/unit/schema/test_schema.py ...... [ 97%]
tests/unit/schema/test_schema_io.py .. [ 97%]
tests/unit/utils/test_utils.py ........ [100%]

=============================== warnings summary ===============================
tests/unit/dag/test_base_operator.py: 4 warnings
tests/unit/io/test_io.py: 72 warnings
/usr/lib/python3.8/site-packages/cudf/core/dataframe.py:1253: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.
warnings.warn(

tests/unit/io/test_io.py::test_validate_and_regenerate_dataset
/var/jenkins_home/workspace/merlin_core/core/merlin/io/parquet.py:551: DeprecationWarning: 'ParquetDataset.pieces' attribute is deprecated as of pyarrow 5.0.0 and will be removed in a future version. Specify 'use_legacy_dataset=False' while constructing the ParquetDataset, and then use the '.fragments' attribute instead.
paths = [p.path for p in pa_dataset.pieces]

tests/unit/utils/test_utils.py::test_nvt_distributed[True-True]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 39811 instead
warnings.warn(

tests/unit/utils/test_utils.py::test_nvt_distributed[True-False]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 42745 instead
warnings.warn(

tests/unit/utils/test_utils.py::test_nvt_distributed[False-True]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 37935 instead
warnings.warn(

tests/unit/utils/test_utils.py::test_nvt_distributed[False-False]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 44475 instead
warnings.warn(

tests/unit/utils/test_utils.py::test_nvt_distributed_force[True]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 38039 instead
warnings.warn(

tests/unit/utils/test_utils.py::test_nvt_distributed_force[False]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 46629 instead
warnings.warn(

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
================= 342 passed, 1 skipped, 83 warnings in 52.10s =================
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/core/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_core] $ /bin/bash /tmp/jenkins327696861619589840.sh

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GitHub pull request #87 of commit 2333e288cb9cc8bac2001ee53b9d32efc820f222, no merge conflicts.
Running as SYSTEM
Setting status of 2333e288cb9cc8bac2001ee53b9d32efc820f222 to PENDING with url https://10.20.13.93:8080/job/merlin_core/50/console and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_core
using credential ce87ff3c-94f0-400a-8303-cb4acb4918b5
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/core # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/core
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems username and pass
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/core +refs/pull/87/*:refs/remotes/origin/pr/87/* # timeout=10
 > git rev-parse 2333e288cb9cc8bac2001ee53b9d32efc820f222^{commit} # timeout=10
Checking out Revision 2333e288cb9cc8bac2001ee53b9d32efc820f222 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 2333e288cb9cc8bac2001ee53b9d32efc820f222 # timeout=10
Commit message: "more debugging"
 > git rev-list --no-walk a6bb6b20816ac02ff3849056ed7e9fd275754155 # timeout=10
[merlin_core] $ /bin/bash /tmp/jenkins7483250781050720807.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: setuptools in /usr/local/lib/python3.8/dist-packages (62.2.0)
WARNING: You are using pip version 22.0.4; however, version 22.1 is available.
You should consider upgrading via the '/usr/bin/python3 -m pip install --upgrade pip' command.
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_core/core, configfile: pyproject.toml
plugins: anyio-3.5.0, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 342 items / 1 skipped

tests/unit/core/test_dispatch.py .. [ 0%]
tests/unit/dag/test_base_operator.py .... [ 1%]
tests/unit/dag/test_column_selector.py .......................... [ 9%]
tests/unit/dag/test_tags.py ...... [ 11%]
tests/unit/dag/ops/test_selection.py ... [ 11%]
tests/unit/io/test_io.py ............................................... [ 25%]
................................................................ [ 44%]
tests/unit/schema/test_column_schemas.py ............................... [ 53%]
........................................................................ [ 74%]
....................................................................... [ 95%]
tests/unit/schema/test_schema.py ...... [ 97%]
tests/unit/schema/test_schema_io.py .. [ 97%]
tests/unit/utils/test_utils.py ........ [100%]

=============================== warnings summary ===============================
tests/unit/dag/test_base_operator.py: 4 warnings
tests/unit/io/test_io.py: 72 warnings
/usr/lib/python3.8/site-packages/cudf/core/dataframe.py:1253: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.
warnings.warn(

tests/unit/io/test_io.py::test_validate_and_regenerate_dataset
/var/jenkins_home/workspace/merlin_core/core/merlin/io/parquet.py:551: DeprecationWarning: 'ParquetDataset.pieces' attribute is deprecated as of pyarrow 5.0.0 and will be removed in a future version. Specify 'use_legacy_dataset=False' while constructing the ParquetDataset, and then use the '.fragments' attribute instead.
paths = [p.path for p in pa_dataset.pieces]

tests/unit/utils/test_utils.py::test_nvt_distributed[True-True]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 45755 instead
warnings.warn(

tests/unit/utils/test_utils.py::test_nvt_distributed[True-False]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 34829 instead
warnings.warn(

tests/unit/utils/test_utils.py::test_nvt_distributed[False-True]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 36437 instead
warnings.warn(

tests/unit/utils/test_utils.py::test_nvt_distributed[False-False]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 45817 instead
warnings.warn(

tests/unit/utils/test_utils.py::test_nvt_distributed_force[True]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 33221 instead
warnings.warn(

tests/unit/utils/test_utils.py::test_nvt_distributed_force[False]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 43771 instead
warnings.warn(

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
================= 342 passed, 1 skipped, 83 warnings in 52.25s =================
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/core/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_core] $ /bin/bash /tmp/jenkins6898177106592815532.sh

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GitHub pull request #87 of commit 591bba41effc8b43e0b78d05cb4c8ad7b4fd6056, no merge conflicts.
Running as SYSTEM
Setting status of 591bba41effc8b43e0b78d05cb4c8ad7b4fd6056 to PENDING with url https://10.20.13.93:8080/job/merlin_core/51/console and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_core
using credential ce87ff3c-94f0-400a-8303-cb4acb4918b5
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/core # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/core
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems username and pass
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/core +refs/pull/87/*:refs/remotes/origin/pr/87/* # timeout=10
 > git rev-parse 591bba41effc8b43e0b78d05cb4c8ad7b4fd6056^{commit} # timeout=10
Checking out Revision 591bba41effc8b43e0b78d05cb4c8ad7b4fd6056 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 591bba41effc8b43e0b78d05cb4c8ad7b4fd6056 # timeout=10
Commit message: "test anaconda upload"
 > git rev-list --no-walk 2333e288cb9cc8bac2001ee53b9d32efc820f222 # timeout=10
[merlin_core] $ /bin/bash /tmp/jenkins2683111707745079427.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: setuptools in /usr/local/lib/python3.8/dist-packages (62.2.0)
WARNING: You are using pip version 22.0.4; however, version 22.1 is available.
You should consider upgrading via the '/usr/bin/python3 -m pip install --upgrade pip' command.
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_core/core, configfile: pyproject.toml
plugins: anyio-3.5.0, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 342 items / 1 skipped

tests/unit/core/test_dispatch.py .. [ 0%]
tests/unit/dag/test_base_operator.py .... [ 1%]
tests/unit/dag/test_column_selector.py .......................... [ 9%]
tests/unit/dag/test_tags.py ...... [ 11%]
tests/unit/dag/ops/test_selection.py ... [ 11%]
tests/unit/io/test_io.py ............................................... [ 25%]
................................................................ [ 44%]
tests/unit/schema/test_column_schemas.py ............................... [ 53%]
........................................................................ [ 74%]
....................................................................... [ 95%]
tests/unit/schema/test_schema.py ...... [ 97%]
tests/unit/schema/test_schema_io.py .. [ 97%]
tests/unit/utils/test_utils.py ........ [100%]

=============================== warnings summary ===============================
tests/unit/dag/test_base_operator.py: 4 warnings
tests/unit/io/test_io.py: 72 warnings
/usr/lib/python3.8/site-packages/cudf/core/dataframe.py:1253: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.
warnings.warn(

tests/unit/io/test_io.py::test_validate_and_regenerate_dataset
/var/jenkins_home/workspace/merlin_core/core/merlin/io/parquet.py:551: DeprecationWarning: 'ParquetDataset.pieces' attribute is deprecated as of pyarrow 5.0.0 and will be removed in a future version. Specify 'use_legacy_dataset=False' while constructing the ParquetDataset, and then use the '.fragments' attribute instead.
paths = [p.path for p in pa_dataset.pieces]

tests/unit/utils/test_utils.py::test_nvt_distributed[True-True]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 43423 instead
warnings.warn(

tests/unit/utils/test_utils.py::test_nvt_distributed[True-False]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 42405 instead
warnings.warn(

tests/unit/utils/test_utils.py::test_nvt_distributed[False-True]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 32929 instead
warnings.warn(

tests/unit/utils/test_utils.py::test_nvt_distributed[False-False]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 43793 instead
warnings.warn(

tests/unit/utils/test_utils.py::test_nvt_distributed_force[True]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 41541 instead
warnings.warn(

tests/unit/utils/test_utils.py::test_nvt_distributed_force[False]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 39799 instead
warnings.warn(

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
================= 342 passed, 1 skipped, 83 warnings in 52.78s =================
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/core/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_core] $ /bin/bash /tmp/jenkins927321288879675179.sh

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GitHub pull request #87 of commit c189d65d069f81f45d488f8a3f285f8bf876489b, no merge conflicts.
Running as SYSTEM
Setting status of c189d65d069f81f45d488f8a3f285f8bf876489b to PENDING with url https://10.20.13.93:8080/job/merlin_core/53/console and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_core
using credential ce87ff3c-94f0-400a-8303-cb4acb4918b5
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/core # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/core
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems username and pass
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/core +refs/pull/87/*:refs/remotes/origin/pr/87/* # timeout=10
 > git rev-parse c189d65d069f81f45d488f8a3f285f8bf876489b^{commit} # timeout=10
Checking out Revision c189d65d069f81f45d488f8a3f285f8bf876489b (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f c189d65d069f81f45d488f8a3f285f8bf876489b # timeout=10
Commit message: "."
 > git rev-list --no-walk 4619ae2edb77655038454cbc0b566798add54dce # timeout=10
[merlin_core] $ /bin/bash /tmp/jenkins8485413396081049899.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: setuptools in /usr/local/lib/python3.8/dist-packages (62.2.0)
WARNING: You are using pip version 22.0.4; however, version 22.1 is available.
You should consider upgrading via the '/usr/bin/python3 -m pip install --upgrade pip' command.
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_core/core, configfile: pyproject.toml
plugins: anyio-3.5.0, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 342 items / 1 skipped

tests/unit/core/test_dispatch.py .. [ 0%]
tests/unit/dag/test_base_operator.py .... [ 1%]
tests/unit/dag/test_column_selector.py .......................... [ 9%]
tests/unit/dag/test_tags.py ...... [ 11%]
tests/unit/dag/ops/test_selection.py ... [ 11%]
tests/unit/io/test_io.py ............................................... [ 25%]
................................................................ [ 44%]
tests/unit/schema/test_column_schemas.py ............................... [ 53%]
........................................................................ [ 74%]
....................................................................... [ 95%]
tests/unit/schema/test_schema.py ...... [ 97%]
tests/unit/schema/test_schema_io.py .. [ 97%]
tests/unit/utils/test_utils.py ........ [100%]

=============================== warnings summary ===============================
tests/unit/dag/test_base_operator.py: 4 warnings
tests/unit/io/test_io.py: 72 warnings
/usr/lib/python3.8/site-packages/cudf/core/dataframe.py:1253: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.
warnings.warn(

tests/unit/io/test_io.py::test_validate_and_regenerate_dataset
/var/jenkins_home/workspace/merlin_core/core/merlin/io/parquet.py:551: DeprecationWarning: 'ParquetDataset.pieces' attribute is deprecated as of pyarrow 5.0.0 and will be removed in a future version. Specify 'use_legacy_dataset=False' while constructing the ParquetDataset, and then use the '.fragments' attribute instead.
paths = [p.path for p in pa_dataset.pieces]

tests/unit/utils/test_utils.py::test_nvt_distributed[True-True]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 36829 instead
warnings.warn(

tests/unit/utils/test_utils.py::test_nvt_distributed[True-False]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 45819 instead
warnings.warn(

tests/unit/utils/test_utils.py::test_nvt_distributed[False-True]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 38833 instead
warnings.warn(

tests/unit/utils/test_utils.py::test_nvt_distributed[False-False]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 44199 instead
warnings.warn(

tests/unit/utils/test_utils.py::test_nvt_distributed_force[True]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 33027 instead
warnings.warn(

tests/unit/utils/test_utils.py::test_nvt_distributed_force[False]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 46381 instead
warnings.warn(

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
================= 342 passed, 1 skipped, 83 warnings in 50.58s =================
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/core/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_core] $ /bin/bash /tmp/jenkins1500483940317484078.sh

@nvidia-merlin-bot
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GitHub pull request #87 of commit bed93021c0a3bf0d4ea0c7392c0d3a9cc0056050, no merge conflicts.
Running as SYSTEM
Setting status of bed93021c0a3bf0d4ea0c7392c0d3a9cc0056050 to PENDING with url https://10.20.13.93:8080/job/merlin_core/54/console and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_core
using credential ce87ff3c-94f0-400a-8303-cb4acb4918b5
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/core # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/core
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems username and pass
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/core +refs/pull/87/*:refs/remotes/origin/pr/87/* # timeout=10
 > git rev-parse bed93021c0a3bf0d4ea0c7392c0d3a9cc0056050^{commit} # timeout=10
Checking out Revision bed93021c0a3bf0d4ea0c7392c0d3a9cc0056050 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f bed93021c0a3bf0d4ea0c7392c0d3a9cc0056050 # timeout=10
Commit message: "."
 > git rev-list --no-walk c189d65d069f81f45d488f8a3f285f8bf876489b # timeout=10
[merlin_core] $ /bin/bash /tmp/jenkins153300224097952568.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: setuptools in /usr/local/lib/python3.8/dist-packages (62.2.0)
WARNING: You are using pip version 22.0.4; however, version 22.1 is available.
You should consider upgrading via the '/usr/bin/python3 -m pip install --upgrade pip' command.
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_core/core, configfile: pyproject.toml
plugins: anyio-3.5.0, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 342 items / 1 skipped

tests/unit/core/test_dispatch.py .. [ 0%]
tests/unit/dag/test_base_operator.py .... [ 1%]
tests/unit/dag/test_column_selector.py .......................... [ 9%]
tests/unit/dag/test_tags.py ...... [ 11%]
tests/unit/dag/ops/test_selection.py ... [ 11%]
tests/unit/io/test_io.py ............................................... [ 25%]
................................................................ [ 44%]
tests/unit/schema/test_column_schemas.py ............................... [ 53%]
........................................................................ [ 74%]
....................................................................... [ 95%]
tests/unit/schema/test_schema.py ...... [ 97%]
tests/unit/schema/test_schema_io.py .. [ 97%]
tests/unit/utils/test_utils.py ........ [100%]

=============================== warnings summary ===============================
tests/unit/dag/test_base_operator.py: 4 warnings
tests/unit/io/test_io.py: 72 warnings
/usr/lib/python3.8/site-packages/cudf/core/dataframe.py:1253: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.
warnings.warn(

tests/unit/io/test_io.py::test_validate_and_regenerate_dataset
/var/jenkins_home/workspace/merlin_core/core/merlin/io/parquet.py:551: DeprecationWarning: 'ParquetDataset.pieces' attribute is deprecated as of pyarrow 5.0.0 and will be removed in a future version. Specify 'use_legacy_dataset=False' while constructing the ParquetDataset, and then use the '.fragments' attribute instead.
paths = [p.path for p in pa_dataset.pieces]

tests/unit/utils/test_utils.py::test_nvt_distributed[True-True]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 43865 instead
warnings.warn(

tests/unit/utils/test_utils.py::test_nvt_distributed[True-False]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 42345 instead
warnings.warn(

tests/unit/utils/test_utils.py::test_nvt_distributed[False-True]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 46611 instead
warnings.warn(

tests/unit/utils/test_utils.py::test_nvt_distributed[False-False]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 43261 instead
warnings.warn(

tests/unit/utils/test_utils.py::test_nvt_distributed_force[True]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 37347 instead
warnings.warn(

tests/unit/utils/test_utils.py::test_nvt_distributed_force[False]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 33035 instead
warnings.warn(

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
================= 342 passed, 1 skipped, 83 warnings in 52.93s =================
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/core/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_core] $ /bin/bash /tmp/jenkins4688988853599346114.sh

This adds a conda build step to build our conda package to the github actions workflow.
This also uploads the package to anaconda during release.
@benfred benfred marked this pull request as ready for review May 13, 2022 04:54
@benfred benfred changed the title Add conda builds and uploads to our github actions workflow Add conda builds to our github actions workflow May 13, 2022
@benfred benfred linked an issue May 13, 2022 that may be closed by this pull request
@benfred benfred added the ci label May 13, 2022
@karlhigley karlhigley merged commit 3c62869 into main May 13, 2022
@benfred benfred deleted the conda_action branch May 16, 2022 22:12
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automate pushing of conda packages for merlin-core
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