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Fix concat_columns for DataFrames with list features #165

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oliverholworthy
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Follow-up to #163 which added an isinstance check for transformed data with the DataFrameLike protocol. That change resulted in an exception being rasiesd in NVTabular workflows that included both scalar and list features.

This PR:

  • Replaces the check against the protocol with the concrete classes (pandas/cudf)
  • Adds a test for concat_columns with list and scalar features.

Details

Why does isinstance(cudf_dataframe, DataFrameLike) raise a TypeError ?

The reason for the type error comes from a combination of the logic in the python typing module and a behaviour of cudf DataFrames.

A minimal example of what is going on in the concat_columns function is the following:

import cudf
from typing import Protocol, runtime_checkable


@runtime_checkable
class ValuesAndColumns(Protocol):
    def values(self):
        ...

    @property
    def columns(self):
        ...

df = cudf.DataFrame({"a": [1], "b": [[2, 3]]})
isinstance(df, ValuesAndColumns)
# Raises TypeError: issubclass() arg 1 must be a class

There are two modifications that can be made to the above protocol that makes this instance check return without this exception.

  • Remove columns
  • Remove the @property on columns

The reason for this is that when a protocol is declared with an @property. The isinstance check does additional work that results in calling any properties that exist even if they were not declared as properties in the protocol.

In this example values is a property of the cudf.DataFrame. The instance check for the dataframe columns isn't a problem, but the side-effect of declaring it as a property in the protocol results in any other attributes in the protocol that happen to be properties on the instance being checked to be called.

Instead of returning from the first if block inside this instancecheck which uses an issubclass(instance.__class__, cls). We end up in the second if block which checks getattr(instance, attr) is not None

class _ProtocolMeta(ABCMeta):
    # This metaclass is really unfortunate and exists only because of
    # the lack of __instancehook__.
    def __instancecheck__(cls, instance):
        # We need this method for situations where attributes are
        # assigned in __init__.
        if ((not getattr(cls, '_is_protocol', False) or
                _is_callable_members_only(cls)) and
                issubclass(instance.__class__, cls)):
            return True
        if cls._is_protocol:
            if all(hasattr(instance, attr) and
                    # All *methods* can be blocked by setting them to None.
                    (not callable(getattr(cls, attr, None)) or
                     getattr(instance, attr) is not None)
                    for attr in _get_protocol_attrs(cls)):
                return True
        return super().__instancecheck__(instance)

Source: https://github.com/python/cpython/blob/v3.8.15/Lib/typing.py#L1006-L1023

In the case of a cudf.DataFrame the values property is defined as:

    @property
    def values(self):
        return self.to_cupy()

Source: https://github.com/rapidsai/cudf/blob/v22.10.01/python/cudf/cudf/core/frame.py#L416-L429

And there is a bug in cudf with a function cudf.utils.dtypes.find_common_type. If passed a scalar and list dtype, raises this TypeError exception.

Even if there was no bug in the cudf with list and scalar types, it is maybe not desirable to have an isinstance check peform a dataframe to cupy array conversion under the hood as part of that check.

Some general principles with protocols we can learn from this:

  • if we really need to check against them at runtime
    • avoid specifying protocol attributes with @property
  • Try to use checks against specific types where possible instead of a protocol

Adds test for concat_columns with list columns
@oliverholworthy oliverholworthy self-assigned this Nov 10, 2022
@oliverholworthy oliverholworthy added bug Something isn't working chore Maintenance for the repository and removed bug Something isn't working labels Nov 10, 2022
@nvidia-merlin-bot
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GitHub pull request #165 of commit b944df8419e25c785c7fec306e692920a56b2da3, no merge conflicts.
Running as SYSTEM
Setting status of b944df8419e25c785c7fec306e692920a56b2da3 to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_core/276/ 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/165/*:refs/remotes/origin/pr/165/* # timeout=10
 > git rev-parse b944df8419e25c785c7fec306e692920a56b2da3^{commit} # timeout=10
Checking out Revision b944df8419e25c785c7fec306e692920a56b2da3 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f b944df8419e25c785c7fec306e692920a56b2da3 # timeout=10
Commit message: "Remove property from columns attribute on Transformable protocol"
 > git rev-list --no-walk 1f5a092e54db2c9b09f5663e4ea9011476ca54ca # timeout=10
[merlin_core] $ /bin/bash /tmp/jenkins2066385597333588197.sh
GLOB sdist-make: /var/jenkins_home/workspace/merlin_core/core/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_core/core/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/merlin_core/core/.tox/.tmp/package/1/merlin-core-0.8.0+10.gb944df8.zip
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu installed: absl-py==1.2.0,aiohttp==3.8.1,aiosignal==1.2.0,alabaster==0.7.12,alembic==1.8.1,anyio==3.6.1,argon2-cffi==21.3.0,argon2-cffi-bindings==21.2.0,astroid==2.5.6,asttokens==2.0.8,astunparse==1.6.3,asv==0.5.1,asvdb==0.4.2,async-timeout==4.0.2,attrs==22.1.0,autopage==0.5.1,awscli==1.27.6,Babel==2.10.3,backcall==0.2.0,beautifulsoup4==4.11.1,betterproto==1.2.5,black==22.6.0,bleach==5.0.1,boto3==1.24.75,botocore==1.29.6,Brotli==1.0.9,cachetools==5.2.0,certifi==2019.11.28,cffi==1.15.1,chardet==3.0.4,charset-normalizer==2.1.1,clang==5.0,click==8.1.3,cliff==4.0.0,cloudpickle==2.2.0,cmaes==0.9.0,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==6.5.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.3,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin-core==0.8.0+10.gb944df8,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.5.0+4.g15074ad,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,# Editable install with no version control (nvtabular==1.4.0+8.g95e12d347),-e /usr/local/lib/python3.8/dist-packages,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,optuna==3.0.3,packaging==21.3,pandas==1.3.5,pandavro==1.5.2,pandocfilters==1.5.0,parso==0.8.3,partd==1.3.0,pathtools==0.1.2,pbr==5.11.0,pexpect==4.8.0,pickleshare==0.7.5,Pillow==9.2.0,pkgutil_resolve_name==1.3.10,platformdirs==2.5.2,plotly==5.11.0,pluggy==1.0.0,prettytable==3.5.0,prometheus-client==0.14.1,promise==2.3,prompt-toolkit==3.0.31,proto-plus==1.19.6,protobuf==3.19.5,psutil==5.9.2,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pyarrow==7.0.0,pyasn1==0.4.8,pyasn1-modules==0.2.8,pybind11==2.10.0,pycparser==2.21,pydantic==1.10.2,pydot==1.4.2,Pygments==2.13.0,PyGObject==3.36.0,pynvml==11.4.1,pyparsing==3.0.9,pyperclip==1.8.2,pyrsistent==0.18.1,pytest==7.1.3,pytest-cov==4.0.0,pytest-xdist==3.0.2,python-apt==2.0.0+ubuntu0.20.4.8,python-dateutil==2.8.2,python-dotenv==0.21.0,python-rapidjson==1.8,pytz==2022.2.1,PyYAML==5.4.1,pyzmq==24.0.0,regex==2022.9.13,requests==2.22.0,requests-oauthlib==1.3.1,requests-unixsocket==0.2.0,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.8.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.3.0,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs @ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git@bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e,sphinxcontrib-devhelp==1.0.2,sphinxcontrib-htmlhelp==2.0.0,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.3,sphinxcontrib-serializinghtml==1.1.5,SQLAlchemy==1.4.43,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.1,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='2794276437'
test-gpu run-test: commands[0] | python -m pytest --cov-report term --cov merlin -rxs tests/unit
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
cachedir: .tox/test-gpu/.pytest_cache
rootdir: /var/jenkins_home/workspace/merlin_core/core, configfile: pyproject.toml
plugins: anyio-3.5.0, xdist-3.0.2, cov-4.0.0
collected 387 items / 1 skipped

tests/unit/core/test_dispatch.py .... [ 1%]
tests/unit/core/test_protocols.py ......... [ 3%]
tests/unit/core/test_version.py . [ 3%]
tests/unit/dag/test_base_operator.py .... [ 4%]
tests/unit/dag/test_column_selector.py .............................. [ 12%]
tests/unit/dag/test_dictarray.py ... [ 13%]
tests/unit/dag/test_executors.py .. [ 13%]
tests/unit/dag/test_graph.py .... [ 14%]
tests/unit/dag/ops/test_selection.py .... [ 15%]
tests/unit/io/test_io.py ............................................... [ 27%]
................................................................ [ 44%]
tests/unit/schema/test_column_schemas.py ....................... [ 50%]
tests/unit/schema/test_schema.py ............. [ 53%]
tests/unit/schema/test_schema_io.py .................................... [ 63%]
........................................................................ [ 81%]
........................................................ [ 96%]
tests/unit/schema/test_tags.py ....... [ 97%]
tests/unit/utils/test_utils.py ........ [100%]

=============================== warnings summary ===============================
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/schema/test_column_schemas.py::test_column_schema_tags_normalize
tests/unit/schema/test_tags.py::test_tagset_atomizes_compound_tags
/var/jenkins_home/workspace/merlin_core/core/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].
warnings.warn(

tests/unit/schema/test_schema_io.py::test_json_serialization_with_embedded_dicts
tests/unit/schema/test_schema_io.py::test_merlin_to_proto_to_json_to_merlin
tests/unit/schema/test_tags.py::test_tagset_atomizes_compound_tags
/var/jenkins_home/workspace/merlin_core/core/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].
warnings.warn(

tests/unit/schema/test_tags.py::test_tagset_atomizes_compound_tags
/var/jenkins_home/workspace/merlin_core/core/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].
warnings.warn(

tests/unit/schema/test_tags.py::test_tagset_atomizes_compound_tags
/var/jenkins_home/workspace/merlin_core/core/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.TEXT_TOKENIZED have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.TEXT: 'text'>, <Tags.TOKENIZED: 'tokenized'>].
warnings.warn(

tests/unit/utils/test_utils.py::test_nvt_distributed[True-True]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:180: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 33715 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:180: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 37601 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:180: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 39691 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:180: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 43369 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:180: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 41215 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:180: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 33795 instead
warnings.warn(

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

---------- coverage: platform linux, python 3.8.10-final-0 -----------
Name Stmts Miss Cover

merlin/core/init.py 2 0 100%
merlin/core/_version.py 354 205 42%
merlin/core/compat.py 10 4 60%
merlin/core/dispatch.py 354 211 40%
merlin/core/protocols.py 99 45 55%
merlin/core/utils.py 195 56 71%
merlin/dag/init.py 5 0 100%
merlin/dag/base_operator.py 122 20 84%
merlin/dag/dictarray.py 55 15 73%
merlin/dag/executors.py 141 68 52%
merlin/dag/graph.py 99 35 65%
merlin/dag/node.py 344 161 53%
merlin/dag/ops/init.py 4 0 100%
merlin/dag/ops/concat_columns.py 17 4 76%
merlin/dag/ops/selection.py 22 0 100%
merlin/dag/ops/subset_columns.py 12 4 67%
merlin/dag/ops/subtraction.py 21 11 48%
merlin/dag/selector.py 101 6 94%
merlin/io/init.py 4 0 100%
merlin/io/avro.py 88 88 0%
merlin/io/csv.py 57 6 89%
merlin/io/dask.py 181 53 71%
merlin/io/dataframe_engine.py 61 5 92%
merlin/io/dataframe_iter.py 21 1 95%
merlin/io/dataset.py 346 54 84%
merlin/io/dataset_engine.py 37 8 78%
merlin/io/fsspec_utils.py 127 108 15%
merlin/io/hugectr.py 45 35 22%
merlin/io/parquet.py 603 69 89%
merlin/io/shuffle.py 38 12 68%
merlin/io/worker.py 80 66 18%
merlin/io/writer.py 190 52 73%
merlin/io/writer_factory.py 18 4 78%
merlin/schema/init.py 2 0 100%
merlin/schema/io/init.py 0 0 100%
merlin/schema/io/proto_utils.py 20 4 80%
merlin/schema/io/schema_bp.py 306 5 98%
merlin/schema/io/tensorflow_metadata.py 190 18 91%
merlin/schema/schema.py 209 33 84%
merlin/schema/tags.py 82 1 99%

TOTAL 4662 1467 69%

=========================== short test summary info ============================
SKIPPED [1] tests/unit/io/test_avro.py:34: could not import 'uavro': No module named 'uavro'
============ 387 passed, 1 skipped, 14 warnings in 64.93s (0:01:04) ============
___________________________________ summary ____________________________________
test-gpu: commands succeeded
congratulations :)
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/jenkins13451925625285905874.sh

@oliverholworthy oliverholworthy force-pushed the concat-columns-fix-cudf-error branch from b944df8 to 6eeceb9 Compare November 10, 2022 11:42
@nvidia-merlin-bot
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Click to view CI Results
GitHub pull request #165 of commit 6eeceb97a6e80a319305bb529a754b1cc8d2d06f, no merge conflicts.
Running as SYSTEM
Setting status of 6eeceb97a6e80a319305bb529a754b1cc8d2d06f to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_core/277/ 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/165/*:refs/remotes/origin/pr/165/* # timeout=10
 > git rev-parse 6eeceb97a6e80a319305bb529a754b1cc8d2d06f^{commit} # timeout=10
Checking out Revision 6eeceb97a6e80a319305bb529a754b1cc8d2d06f (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 6eeceb97a6e80a319305bb529a754b1cc8d2d06f # timeout=10
Commit message: "Update instance checks in `concat_columns` to use cudf/pd classes."
 > git rev-list --no-walk b944df8419e25c785c7fec306e692920a56b2da3 # timeout=10
[merlin_core] $ /bin/bash /tmp/jenkins14438070073836244313.sh
GLOB sdist-make: /var/jenkins_home/workspace/merlin_core/core/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_core/core/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/merlin_core/core/.tox/.tmp/package/1/merlin-core-0.8.0+9.g6eeceb9.zip
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu installed: absl-py==1.2.0,aiohttp==3.8.1,aiosignal==1.2.0,alabaster==0.7.12,alembic==1.8.1,anyio==3.6.1,argon2-cffi==21.3.0,argon2-cffi-bindings==21.2.0,astroid==2.5.6,asttokens==2.0.8,astunparse==1.6.3,asv==0.5.1,asvdb==0.4.2,async-timeout==4.0.2,attrs==22.1.0,autopage==0.5.1,awscli==1.27.6,Babel==2.10.3,backcall==0.2.0,beautifulsoup4==4.11.1,betterproto==1.2.5,black==22.6.0,bleach==5.0.1,boto3==1.24.75,botocore==1.29.6,Brotli==1.0.9,cachetools==5.2.0,certifi==2019.11.28,cffi==1.15.1,chardet==3.0.4,charset-normalizer==2.1.1,clang==5.0,click==8.1.3,cliff==4.0.0,cloudpickle==2.2.0,cmaes==0.9.0,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==6.5.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.3,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin-core==0.8.0+9.g6eeceb9,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.5.0+4.g15074ad,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,# Editable install with no version control (nvtabular==1.4.0+8.g95e12d347),-e /usr/local/lib/python3.8/dist-packages,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,optuna==3.0.3,packaging==21.3,pandas==1.3.5,pandavro==1.5.2,pandocfilters==1.5.0,parso==0.8.3,partd==1.3.0,pathtools==0.1.2,pbr==5.11.0,pexpect==4.8.0,pickleshare==0.7.5,Pillow==9.2.0,pkgutil_resolve_name==1.3.10,platformdirs==2.5.2,plotly==5.11.0,pluggy==1.0.0,prettytable==3.5.0,prometheus-client==0.14.1,promise==2.3,prompt-toolkit==3.0.31,proto-plus==1.19.6,protobuf==3.19.5,psutil==5.9.2,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pyarrow==7.0.0,pyasn1==0.4.8,pyasn1-modules==0.2.8,pybind11==2.10.0,pycparser==2.21,pydantic==1.10.2,pydot==1.4.2,Pygments==2.13.0,PyGObject==3.36.0,pynvml==11.4.1,pyparsing==3.0.9,pyperclip==1.8.2,pyrsistent==0.18.1,pytest==7.1.3,pytest-cov==4.0.0,pytest-xdist==3.0.2,python-apt==2.0.0+ubuntu0.20.4.8,python-dateutil==2.8.2,python-dotenv==0.21.0,python-rapidjson==1.8,pytz==2022.2.1,PyYAML==5.4.1,pyzmq==24.0.0,regex==2022.9.13,requests==2.22.0,requests-oauthlib==1.3.1,requests-unixsocket==0.2.0,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.8.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.3.0,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs @ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git@bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e,sphinxcontrib-devhelp==1.0.2,sphinxcontrib-htmlhelp==2.0.0,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.3,sphinxcontrib-serializinghtml==1.1.5,SQLAlchemy==1.4.43,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.1,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='2283400802'
test-gpu run-test: commands[0] | python -m pytest --cov-report term --cov merlin -rxs tests/unit
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
cachedir: .tox/test-gpu/.pytest_cache
rootdir: /var/jenkins_home/workspace/merlin_core/core, configfile: pyproject.toml
plugins: anyio-3.5.0, xdist-3.0.2, cov-4.0.0
collected 387 items / 1 skipped

tests/unit/core/test_dispatch.py .... [ 1%]
tests/unit/core/test_protocols.py ......... [ 3%]
tests/unit/core/test_version.py . [ 3%]
tests/unit/dag/test_base_operator.py .... [ 4%]
tests/unit/dag/test_column_selector.py .............................. [ 12%]
tests/unit/dag/test_dictarray.py ... [ 13%]
tests/unit/dag/test_executors.py .. [ 13%]
tests/unit/dag/test_graph.py .... [ 14%]
tests/unit/dag/ops/test_selection.py .... [ 15%]
tests/unit/io/test_io.py ............................................... [ 27%]
................................................................ [ 44%]
tests/unit/schema/test_column_schemas.py ....................... [ 50%]
tests/unit/schema/test_schema.py ............. [ 53%]
tests/unit/schema/test_schema_io.py .................................... [ 63%]
........................................................................ [ 81%]
........................................................ [ 96%]
tests/unit/schema/test_tags.py ....... [ 97%]
tests/unit/utils/test_utils.py ........ [100%]

=============================== warnings summary ===============================
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/schema/test_column_schemas.py::test_column_schema_tags_normalize
tests/unit/schema/test_tags.py::test_tagset_atomizes_compound_tags
/var/jenkins_home/workspace/merlin_core/core/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].
warnings.warn(

tests/unit/schema/test_schema_io.py::test_json_serialization_with_embedded_dicts
tests/unit/schema/test_schema_io.py::test_merlin_to_proto_to_json_to_merlin
tests/unit/schema/test_tags.py::test_tagset_atomizes_compound_tags
/var/jenkins_home/workspace/merlin_core/core/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].
warnings.warn(

tests/unit/schema/test_tags.py::test_tagset_atomizes_compound_tags
/var/jenkins_home/workspace/merlin_core/core/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].
warnings.warn(

tests/unit/schema/test_tags.py::test_tagset_atomizes_compound_tags
/var/jenkins_home/workspace/merlin_core/core/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.TEXT_TOKENIZED have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.TEXT: 'text'>, <Tags.TOKENIZED: 'tokenized'>].
warnings.warn(

tests/unit/utils/test_utils.py::test_nvt_distributed[True-True]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:180: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 36069 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:180: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 39971 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:180: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 35119 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:180: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 36301 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:180: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 44203 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:180: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 45557 instead
warnings.warn(

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

---------- coverage: platform linux, python 3.8.10-final-0 -----------
Name Stmts Miss Cover

merlin/core/init.py 2 0 100%
merlin/core/_version.py 354 205 42%
merlin/core/compat.py 10 4 60%
merlin/core/dispatch.py 354 211 40%
merlin/core/protocols.py 100 45 55%
merlin/core/utils.py 195 56 71%
merlin/dag/init.py 5 0 100%
merlin/dag/base_operator.py 122 20 84%
merlin/dag/dictarray.py 55 15 73%
merlin/dag/executors.py 141 68 52%
merlin/dag/graph.py 99 35 65%
merlin/dag/node.py 344 161 53%
merlin/dag/ops/init.py 4 0 100%
merlin/dag/ops/concat_columns.py 17 4 76%
merlin/dag/ops/selection.py 22 0 100%
merlin/dag/ops/subset_columns.py 12 4 67%
merlin/dag/ops/subtraction.py 21 11 48%
merlin/dag/selector.py 101 6 94%
merlin/io/init.py 4 0 100%
merlin/io/avro.py 88 88 0%
merlin/io/csv.py 57 6 89%
merlin/io/dask.py 181 53 71%
merlin/io/dataframe_engine.py 61 5 92%
merlin/io/dataframe_iter.py 21 1 95%
merlin/io/dataset.py 346 54 84%
merlin/io/dataset_engine.py 37 8 78%
merlin/io/fsspec_utils.py 127 108 15%
merlin/io/hugectr.py 45 35 22%
merlin/io/parquet.py 603 69 89%
merlin/io/shuffle.py 38 12 68%
merlin/io/worker.py 80 66 18%
merlin/io/writer.py 190 52 73%
merlin/io/writer_factory.py 18 4 78%
merlin/schema/init.py 2 0 100%
merlin/schema/io/init.py 0 0 100%
merlin/schema/io/proto_utils.py 20 4 80%
merlin/schema/io/schema_bp.py 306 5 98%
merlin/schema/io/tensorflow_metadata.py 190 18 91%
merlin/schema/schema.py 209 33 84%
merlin/schema/tags.py 82 1 99%

TOTAL 4663 1467 69%

=========================== short test summary info ============================
SKIPPED [1] tests/unit/io/test_avro.py:34: could not import 'uavro': No module named 'uavro'
============ 387 passed, 1 skipped, 14 warnings in 64.72s (0:01:04) ============
___________________________________ summary ____________________________________
test-gpu: commands succeeded
congratulations :)
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/jenkins18438912618314111628.sh

@karlhigley
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karlhigley commented Nov 10, 2022

This is some really good detective work! I'm not sure that this fix will work either though, since we avoid checking against cudf.DataFrame because that won't be available in environments that don't have cudf.

if we really need to check against them at runtime

Run-time checking is one of the main advantages of using them, since the alternative is to create explicit class hierarchies, which we can't do with types we don't own (e.g. cudf.DataFrame.)

avoid specifying protocol attributes with @Property

In order for any downstream class that implements the protocol to annotate itself as such and still satisfy mypy, its method declarations must match the way the methods are declared on the protocol. If the protocol doesn't declare a method as a property, the downstream class (e.g. DictArray) can't either, which affects the usage of the method in calling code: obj.some_property vs obj.some_property(). That has knock-on effects, because the intent of using a Protocol here is to create a category of objects that have interchangeable APIs including cudf.DataFrame and DictArray.

Try to use checks against specific types where possible instead of a protocol

This is often difficult due to the restriction that the checks must work in both GPU and CPU-only environments.

@karlhigley
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One possibility would be to omit properties from the protocol definitions entirely. That would somewhat defeat the point of the Transformable protocol, but we'd at least still have the dtypes method as a way to differentiate between raw dictionaries and wrapped DictArrays.

@nvidia-merlin-bot
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Click to view CI Results
GitHub pull request #165 of commit 156c3b8af83b8cc884799c658877ddb605dbb7a1, no merge conflicts.
Running as SYSTEM
Setting status of 156c3b8af83b8cc884799c658877ddb605dbb7a1 to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_core/278/ 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/165/*:refs/remotes/origin/pr/165/* # timeout=10
 > git rev-parse 156c3b8af83b8cc884799c658877ddb605dbb7a1^{commit} # timeout=10
Checking out Revision 156c3b8af83b8cc884799c658877ddb605dbb7a1 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 156c3b8af83b8cc884799c658877ddb605dbb7a1 # timeout=10
Commit message: "Support CPU-only environment by checking cudf and pandas separately"
 > git rev-list --no-walk 6eeceb97a6e80a319305bb529a754b1cc8d2d06f # timeout=10
[merlin_core] $ /bin/bash /tmp/jenkins1622919250921328095.sh
GLOB sdist-make: /var/jenkins_home/workspace/merlin_core/core/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_core/core/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/merlin_core/core/.tox/.tmp/package/1/merlin-core-0.8.0+10.g156c3b8.zip
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu installed: absl-py==1.2.0,aiohttp==3.8.1,aiosignal==1.2.0,alabaster==0.7.12,alembic==1.8.1,anyio==3.6.1,argon2-cffi==21.3.0,argon2-cffi-bindings==21.2.0,astroid==2.5.6,asttokens==2.0.8,astunparse==1.6.3,asv==0.5.1,asvdb==0.4.2,async-timeout==4.0.2,attrs==22.1.0,autopage==0.5.1,awscli==1.27.6,Babel==2.10.3,backcall==0.2.0,beautifulsoup4==4.11.1,betterproto==1.2.5,black==22.6.0,bleach==5.0.1,boto3==1.24.75,botocore==1.29.6,Brotli==1.0.9,cachetools==5.2.0,certifi==2019.11.28,cffi==1.15.1,chardet==3.0.4,charset-normalizer==2.1.1,clang==5.0,click==8.1.3,cliff==4.0.0,cloudpickle==2.2.0,cmaes==0.9.0,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==6.5.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.3,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin-core==0.8.0+10.g156c3b8,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.5.0+4.g15074ad,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,# Editable install with no version control (nvtabular==1.4.0+8.g95e12d347),-e /usr/local/lib/python3.8/dist-packages,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,optuna==3.0.3,packaging==21.3,pandas==1.3.5,pandavro==1.5.2,pandocfilters==1.5.0,parso==0.8.3,partd==1.3.0,pathtools==0.1.2,pbr==5.11.0,pexpect==4.8.0,pickleshare==0.7.5,Pillow==9.2.0,pkgutil_resolve_name==1.3.10,platformdirs==2.5.2,plotly==5.11.0,pluggy==1.0.0,prettytable==3.5.0,prometheus-client==0.14.1,promise==2.3,prompt-toolkit==3.0.31,proto-plus==1.19.6,protobuf==3.19.5,psutil==5.9.2,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pyarrow==7.0.0,pyasn1==0.4.8,pyasn1-modules==0.2.8,pybind11==2.10.0,pycparser==2.21,pydantic==1.10.2,pydot==1.4.2,Pygments==2.13.0,PyGObject==3.36.0,pynvml==11.4.1,pyparsing==3.0.9,pyperclip==1.8.2,pyrsistent==0.18.1,pytest==7.1.3,pytest-cov==4.0.0,pytest-xdist==3.0.2,python-apt==2.0.0+ubuntu0.20.4.8,python-dateutil==2.8.2,python-dotenv==0.21.0,python-rapidjson==1.8,pytz==2022.2.1,PyYAML==5.4.1,pyzmq==24.0.0,regex==2022.9.13,requests==2.22.0,requests-oauthlib==1.3.1,requests-unixsocket==0.2.0,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.8.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.3.0,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs @ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git@bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e,sphinxcontrib-devhelp==1.0.2,sphinxcontrib-htmlhelp==2.0.0,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.3,sphinxcontrib-serializinghtml==1.1.5,SQLAlchemy==1.4.43,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.1,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='1253172698'
test-gpu run-test: commands[0] | python -m pytest --cov-report term --cov merlin -rxs tests/unit
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
cachedir: .tox/test-gpu/.pytest_cache
rootdir: /var/jenkins_home/workspace/merlin_core/core, configfile: pyproject.toml
plugins: anyio-3.5.0, xdist-3.0.2, cov-4.0.0
collected 387 items / 1 skipped

tests/unit/core/test_dispatch.py .... [ 1%]
tests/unit/core/test_protocols.py ......... [ 3%]
tests/unit/core/test_version.py . [ 3%]
tests/unit/dag/test_base_operator.py .... [ 4%]
tests/unit/dag/test_column_selector.py .............................. [ 12%]
tests/unit/dag/test_dictarray.py ... [ 13%]
tests/unit/dag/test_executors.py .. [ 13%]
tests/unit/dag/test_graph.py .... [ 14%]
tests/unit/dag/ops/test_selection.py .... [ 15%]
tests/unit/io/test_io.py ............................................... [ 27%]
................................................................ [ 44%]
tests/unit/schema/test_column_schemas.py ....................... [ 50%]
tests/unit/schema/test_schema.py ............. [ 53%]
tests/unit/schema/test_schema_io.py .................................... [ 63%]
........................................................................ [ 81%]
........................................................ [ 96%]
tests/unit/schema/test_tags.py ....... [ 97%]
tests/unit/utils/test_utils.py ........ [100%]

=============================== warnings summary ===============================
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/schema/test_column_schemas.py::test_column_schema_tags_normalize
tests/unit/schema/test_tags.py::test_tagset_atomizes_compound_tags
/var/jenkins_home/workspace/merlin_core/core/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].
warnings.warn(

tests/unit/schema/test_schema_io.py::test_json_serialization_with_embedded_dicts
tests/unit/schema/test_schema_io.py::test_merlin_to_proto_to_json_to_merlin
tests/unit/schema/test_tags.py::test_tagset_atomizes_compound_tags
/var/jenkins_home/workspace/merlin_core/core/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].
warnings.warn(

tests/unit/schema/test_tags.py::test_tagset_atomizes_compound_tags
/var/jenkins_home/workspace/merlin_core/core/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].
warnings.warn(

tests/unit/schema/test_tags.py::test_tagset_atomizes_compound_tags
/var/jenkins_home/workspace/merlin_core/core/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.TEXT_TOKENIZED have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.TEXT: 'text'>, <Tags.TOKENIZED: 'tokenized'>].
warnings.warn(

tests/unit/utils/test_utils.py::test_nvt_distributed[True-True]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:180: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 38063 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:180: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 35221 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:180: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 35747 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:180: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 33083 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:180: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 38501 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:180: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 45497 instead
warnings.warn(

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

---------- coverage: platform linux, python 3.8.10-final-0 -----------
Name Stmts Miss Cover

merlin/core/init.py 2 0 100%
merlin/core/_version.py 354 205 42%
merlin/core/compat.py 10 4 60%
merlin/core/dispatch.py 356 212 40%
merlin/core/protocols.py 100 45 55%
merlin/core/utils.py 195 56 71%
merlin/dag/init.py 5 0 100%
merlin/dag/base_operator.py 122 20 84%
merlin/dag/dictarray.py 55 15 73%
merlin/dag/executors.py 141 68 52%
merlin/dag/graph.py 99 35 65%
merlin/dag/node.py 344 161 53%
merlin/dag/ops/init.py 4 0 100%
merlin/dag/ops/concat_columns.py 17 4 76%
merlin/dag/ops/selection.py 22 0 100%
merlin/dag/ops/subset_columns.py 12 4 67%
merlin/dag/ops/subtraction.py 21 11 48%
merlin/dag/selector.py 101 6 94%
merlin/io/init.py 4 0 100%
merlin/io/avro.py 88 88 0%
merlin/io/csv.py 57 6 89%
merlin/io/dask.py 181 53 71%
merlin/io/dataframe_engine.py 61 5 92%
merlin/io/dataframe_iter.py 21 1 95%
merlin/io/dataset.py 346 54 84%
merlin/io/dataset_engine.py 37 8 78%
merlin/io/fsspec_utils.py 127 108 15%
merlin/io/hugectr.py 45 35 22%
merlin/io/parquet.py 603 69 89%
merlin/io/shuffle.py 38 12 68%
merlin/io/worker.py 80 66 18%
merlin/io/writer.py 190 52 73%
merlin/io/writer_factory.py 18 4 78%
merlin/schema/init.py 2 0 100%
merlin/schema/io/init.py 0 0 100%
merlin/schema/io/proto_utils.py 20 4 80%
merlin/schema/io/schema_bp.py 306 5 98%
merlin/schema/io/tensorflow_metadata.py 190 18 91%
merlin/schema/schema.py 209 33 84%
merlin/schema/tags.py 82 1 99%

TOTAL 4665 1468 69%

=========================== short test summary info ============================
SKIPPED [1] tests/unit/io/test_avro.py:34: could not import 'uavro': No module named 'uavro'
============ 387 passed, 1 skipped, 14 warnings in 64.13s (0:01:04) ============
___________________________________ summary ____________________________________
test-gpu: commands succeeded
congratulations :)
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/jenkins1773853886659722532.sh

@oliverholworthy
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Updated to support CPU-only enviromnents by checking pandas and cudf separately

@nvidia-merlin-bot
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Click to view CI Results
GitHub pull request #165 of commit 11c0ccd500e7a99252b507ef208fced32c5d77b8, no merge conflicts.
Running as SYSTEM
Setting status of 11c0ccd500e7a99252b507ef208fced32c5d77b8 to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_core/280/ 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/165/*:refs/remotes/origin/pr/165/* # timeout=10
 > git rev-parse 11c0ccd500e7a99252b507ef208fced32c5d77b8^{commit} # timeout=10
Checking out Revision 11c0ccd500e7a99252b507ef208fced32c5d77b8 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 11c0ccd500e7a99252b507ef208fced32c5d77b8 # timeout=10
Commit message: "Update import formatting"
 > git rev-list --no-walk 47f5bfb11841de94f7e2a9c7688d52ccd2e3afb7 # timeout=10
[merlin_core] $ /bin/bash /tmp/jenkins13917126762068500092.sh
GLOB sdist-make: /var/jenkins_home/workspace/merlin_core/core/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_core/core/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/merlin_core/core/.tox/.tmp/package/1/merlin-core-0.8.0+11.g11c0ccd.zip
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu installed: absl-py==1.2.0,aiohttp==3.8.1,aiosignal==1.2.0,alabaster==0.7.12,alembic==1.8.1,anyio==3.6.1,argon2-cffi==21.3.0,argon2-cffi-bindings==21.2.0,astroid==2.5.6,asttokens==2.0.8,astunparse==1.6.3,asv==0.5.1,asvdb==0.4.2,async-timeout==4.0.2,attrs==22.1.0,autopage==0.5.1,awscli==1.27.6,Babel==2.10.3,backcall==0.2.0,beautifulsoup4==4.11.1,betterproto==1.2.5,black==22.6.0,bleach==5.0.1,boto3==1.24.75,botocore==1.29.6,Brotli==1.0.9,cachetools==5.2.0,certifi==2019.11.28,cffi==1.15.1,chardet==3.0.4,charset-normalizer==2.1.1,clang==5.0,click==8.1.3,cliff==4.0.0,cloudpickle==2.2.0,cmaes==0.9.0,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==6.5.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.3,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin-core==0.8.0+11.g11c0ccd,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.5.0+4.g15074ad,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,# Editable install with no version control (nvtabular==1.4.0+8.g95e12d347),-e /usr/local/lib/python3.8/dist-packages,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,optuna==3.0.3,packaging==21.3,pandas==1.3.5,pandavro==1.5.2,pandocfilters==1.5.0,parso==0.8.3,partd==1.3.0,pathtools==0.1.2,pbr==5.11.0,pexpect==4.8.0,pickleshare==0.7.5,Pillow==9.2.0,pkgutil_resolve_name==1.3.10,platformdirs==2.5.2,plotly==5.11.0,pluggy==1.0.0,prettytable==3.5.0,prometheus-client==0.14.1,promise==2.3,prompt-toolkit==3.0.31,proto-plus==1.19.6,protobuf==3.19.5,psutil==5.9.2,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pyarrow==7.0.0,pyasn1==0.4.8,pyasn1-modules==0.2.8,pybind11==2.10.0,pycparser==2.21,pydantic==1.10.2,pydot==1.4.2,Pygments==2.13.0,PyGObject==3.36.0,pynvml==11.4.1,pyparsing==3.0.9,pyperclip==1.8.2,pyrsistent==0.18.1,pytest==7.1.3,pytest-cov==4.0.0,pytest-xdist==3.0.2,python-apt==2.0.0+ubuntu0.20.4.8,python-dateutil==2.8.2,python-dotenv==0.21.0,python-rapidjson==1.8,pytz==2022.2.1,PyYAML==5.4.1,pyzmq==24.0.0,regex==2022.9.13,requests==2.22.0,requests-oauthlib==1.3.1,requests-unixsocket==0.2.0,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.8.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.3.0,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs @ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git@bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e,sphinxcontrib-devhelp==1.0.2,sphinxcontrib-htmlhelp==2.0.0,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.3,sphinxcontrib-serializinghtml==1.1.5,SQLAlchemy==1.4.43,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.1,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='3046254947'
test-gpu run-test: commands[0] | python -m pytest --cov-report term --cov merlin -rxs tests/unit
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
cachedir: .tox/test-gpu/.pytest_cache
rootdir: /var/jenkins_home/workspace/merlin_core/core, configfile: pyproject.toml
plugins: anyio-3.5.0, xdist-3.0.2, cov-4.0.0
collected 387 items / 1 skipped

tests/unit/core/test_dispatch.py .... [ 1%]
tests/unit/core/test_protocols.py ......... [ 3%]
tests/unit/core/test_version.py . [ 3%]
tests/unit/dag/test_base_operator.py .... [ 4%]
tests/unit/dag/test_column_selector.py .............................. [ 12%]
tests/unit/dag/test_dictarray.py ... [ 13%]
tests/unit/dag/test_executors.py .. [ 13%]
tests/unit/dag/test_graph.py .... [ 14%]
tests/unit/dag/ops/test_selection.py .... [ 15%]
tests/unit/io/test_io.py ............................................... [ 27%]
................................................................ [ 44%]
tests/unit/schema/test_column_schemas.py ....................... [ 50%]
tests/unit/schema/test_schema.py ............. [ 53%]
tests/unit/schema/test_schema_io.py .................................... [ 63%]
........................................................................ [ 81%]
........................................................ [ 96%]
tests/unit/schema/test_tags.py ....... [ 97%]
tests/unit/utils/test_utils.py ........ [100%]

=============================== warnings summary ===============================
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/schema/test_column_schemas.py::test_column_schema_tags_normalize
tests/unit/schema/test_tags.py::test_tagset_atomizes_compound_tags
/var/jenkins_home/workspace/merlin_core/core/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].
warnings.warn(

tests/unit/schema/test_schema_io.py::test_json_serialization_with_embedded_dicts
tests/unit/schema/test_schema_io.py::test_merlin_to_proto_to_json_to_merlin
tests/unit/schema/test_tags.py::test_tagset_atomizes_compound_tags
/var/jenkins_home/workspace/merlin_core/core/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].
warnings.warn(

tests/unit/schema/test_tags.py::test_tagset_atomizes_compound_tags
/var/jenkins_home/workspace/merlin_core/core/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].
warnings.warn(

tests/unit/schema/test_tags.py::test_tagset_atomizes_compound_tags
/var/jenkins_home/workspace/merlin_core/core/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.TEXT_TOKENIZED have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.TEXT: 'text'>, <Tags.TOKENIZED: 'tokenized'>].
warnings.warn(

tests/unit/utils/test_utils.py::test_nvt_distributed[True-True]
/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:180: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 35477 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:180: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 44499 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:180: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 33777 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:180: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 39653 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:180: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 42821 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:180: UserWarning: Port 8787 is already in use.
Perhaps you already have a cluster running?
Hosting the HTTP server on port 37381 instead
warnings.warn(

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

---------- coverage: platform linux, python 3.8.10-final-0 -----------
Name Stmts Miss Cover

merlin/core/init.py 2 0 100%
merlin/core/_version.py 354 205 42%
merlin/core/compat.py 10 4 60%
merlin/core/dispatch.py 356 212 40%
merlin/core/protocols.py 100 45 55%
merlin/core/utils.py 195 56 71%
merlin/dag/init.py 5 0 100%
merlin/dag/base_operator.py 122 20 84%
merlin/dag/dictarray.py 55 15 73%
merlin/dag/executors.py 141 68 52%
merlin/dag/graph.py 99 35 65%
merlin/dag/node.py 344 161 53%
merlin/dag/ops/init.py 4 0 100%
merlin/dag/ops/concat_columns.py 17 4 76%
merlin/dag/ops/selection.py 22 0 100%
merlin/dag/ops/subset_columns.py 12 4 67%
merlin/dag/ops/subtraction.py 21 11 48%
merlin/dag/selector.py 101 6 94%
merlin/io/init.py 4 0 100%
merlin/io/avro.py 88 88 0%
merlin/io/csv.py 57 6 89%
merlin/io/dask.py 181 53 71%
merlin/io/dataframe_engine.py 61 5 92%
merlin/io/dataframe_iter.py 21 1 95%
merlin/io/dataset.py 346 54 84%
merlin/io/dataset_engine.py 37 8 78%
merlin/io/fsspec_utils.py 127 108 15%
merlin/io/hugectr.py 45 35 22%
merlin/io/parquet.py 603 69 89%
merlin/io/shuffle.py 38 12 68%
merlin/io/worker.py 80 66 18%
merlin/io/writer.py 190 52 73%
merlin/io/writer_factory.py 18 4 78%
merlin/schema/init.py 2 0 100%
merlin/schema/io/init.py 0 0 100%
merlin/schema/io/proto_utils.py 20 4 80%
merlin/schema/io/schema_bp.py 306 5 98%
merlin/schema/io/tensorflow_metadata.py 190 18 91%
merlin/schema/schema.py 209 33 84%
merlin/schema/tags.py 82 1 99%

TOTAL 4665 1468 69%

=========================== short test summary info ============================
SKIPPED [1] tests/unit/io/test_avro.py:34: could not import 'uavro': No module named 'uavro'
============ 387 passed, 1 skipped, 14 warnings in 63.62s (0:01:03) ============
___________________________________ summary ____________________________________
test-gpu: commands succeeded
congratulations :)
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/jenkins13494048373036942194.sh

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