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Add optimized read_parquet path for remote storage #1119

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merged 38 commits into from
Sep 22, 2021

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@rjzamora rjzamora commented Sep 16, 2021

Notes:

Performance [UPDATED 9/20/2021]:

  • Initial tests on a local workstation (reading from GCS over the internet) are very promising: With this PR, I am able to read through a 23-file, 1TB Dataset (Criteo) on two GPUs in ~9 minutes. Without this PR, I cannot even read in a single file from that dataset in the same amount of time.
  • I have confirmed that this PR leads to favorable performance on GCP (~15 min on an 8-GPU cluster when the input data is stored in GCS). Without this PR, the benchmark takes hours (it is slow enough that I didn't bother with a full run). Note that the same benchmark is expected to finish in ~2-3 min when the input data is stored on a local SSD (however, my instance did not have a large-enough SSD to test this). Command and output:
(rapids-21.08) rzamora@a100-nvtabular-gcs-testing-8g:~$ python NVTabular/bench/examples/dask-nvtabular-criteo-benchmark.py --part-mem-frac 0.125 --data-path gs://workshop-datasets/criteo-parque --out-path /h
ome/rzamora/scratch/ --out-files-per-proc 3 --device-limit-frac 0.75 --device-pool-frac 0.85 --cat-cache-high device -d 0,1,2,3,4,5,6,7 > bench.PR1119.out 2>&1


Dask-NVTabular DLRM/Criteo benchmark
--------------------------------------
partition size     | 5313159168
protocol           | tcp
device(s)          | 0,1,2,3,4,5,6,7
rmm-pool-frac      | 0.85
out-files-per-proc | 3
num_io_threads     | 0
shuffle            | PER_PARTITION
cats-on-device     | False
======================================
Runtime[s]         | 899.8842217922211
======================================

GCP Instance Details:

  • Machine type: a2-highgpu-8g (96 vCPUs, 680 GB memory)
  • CPU platform: Intel Cascade Lake
  • GPUs: 8 x NVIDIA Tesla A100
  • Zone: us-central1-c
  • Disk: 1024GB SSD

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GitHub pull request #1119 of commit 1e8fc4efd6600a64898c0ae74591b555c9637e7e, no merge conflicts.
Running as SYSTEM
Setting status of 1e8fc4efd6600a64898c0ae74591b555c9637e7e to PENDING with url http://10.20.13.93:8080/job/nvtabular_tests/3460/ and message: 'Pending'
Using context: Jenkins Unit Test Run
Building in workspace /var/jenkins_home/workspace/nvtabular_tests
using credential nvidia-merlin-bot
Cloning the remote Git repository
Cloning repository https://github.com/NVIDIA/NVTabular.git
 > git init /var/jenkins_home/workspace/nvtabular_tests/nvtabular # timeout=10
Fetching upstream changes from https://github.com/NVIDIA/NVTabular.git
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA/NVTabular.git +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/NVIDIA/NVTabular.git # timeout=10
 > git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/NVIDIA/NVTabular.git # timeout=10
Fetching upstream changes from https://github.com/NVIDIA/NVTabular.git
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA/NVTabular.git +refs/pull/1119/*:refs/remotes/origin/pr/1119/* # timeout=10
 > git rev-parse 1e8fc4efd6600a64898c0ae74591b555c9637e7e^{commit} # timeout=10
Checking out Revision 1e8fc4efd6600a64898c0ae74591b555c9637e7e (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 1e8fc4efd6600a64898c0ae74591b555c9637e7e # timeout=10
Commit message: "add optimized read_parquet code path for remote storage"
 > git rev-list --no-walk dabe5986a6bbfcd0c31104f1cb930444438161f4 # timeout=10
First time build. Skipping changelog.
[nvtabular_tests] $ /bin/bash /tmp/jenkins2753775259719280597.sh
Installing NVTabular
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: pip in /var/jenkins_home/.local/lib/python3.8/site-packages (21.2.4)
Requirement already satisfied: setuptools in /var/jenkins_home/.local/lib/python3.8/site-packages (58.0.4)
Requirement already satisfied: wheel in /var/jenkins_home/.local/lib/python3.8/site-packages (0.37.0)
Requirement already satisfied: pybind11 in /var/jenkins_home/.local/lib/python3.8/site-packages (2.7.1)
running develop
running egg_info
creating nvtabular.egg-info
writing nvtabular.egg-info/PKG-INFO
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writing requirements to nvtabular.egg-info/requires.txt
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writing manifest file 'nvtabular.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
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adding license file 'LICENSE'
writing manifest file 'nvtabular.egg-info/SOURCES.txt'
running build_ext
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/python3.8 -c flagcheck.cpp -o flagcheck.o -std=c++17
building 'nvtabular_cpp' extension
creating build
creating build/temp.linux-x86_64-3.8
creating build/temp.linux-x86_64-3.8/cpp
creating build/temp.linux-x86_64-3.8/cpp/nvtabular
creating build/temp.linux-x86_64-3.8/cpp/nvtabular/inference
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x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+43.g1e8fc4e -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/__init__.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/__init__.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+43.g1e8fc4e -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/categorify.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/categorify.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+43.g1e8fc4e -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/fill.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/fill.o -std=c++17 -fvisibility=hidden -g0
creating build/lib.linux-x86_64-3.8
x86_64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.8/cpp/nvtabular/__init__.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/__init__.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/categorify.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/fill.o -o build/lib.linux-x86_64-3.8/nvtabular_cpp.cpython-38-x86_64-linux-gnu.so
copying build/lib.linux-x86_64-3.8/nvtabular_cpp.cpython-38-x86_64-linux-gnu.so -> 
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Running flake8
Running isort
Skipped 2 files
Running bandit
Running pylint
************* Module nvtabular.ops.categorify
nvtabular/ops/categorify.py:467:15: I1101: Module 'nvtabular_cpp' has no 'inference' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member)
************* Module nvtabular.ops.fill
nvtabular/ops/fill.py:66:15: I1101: Module 'nvtabular_cpp' has no 'inference' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member)


Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00)

Running flake8-nb
Building docs
make: Entering directory '/var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs'
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============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-6.2.5, py-1.10.0, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/nvtabular_tests/nvtabular, configfile: pyproject.toml
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tests/unit/test_dask_nvt.py ............................................ [ 3%]
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tests/unit/test_triton_inference.py .............................. [ 30%]
tests/unit/columns/test_column_schemas.py ......... [ 30%]
tests/unit/columns/test_column_selector.py ............... [ 32%]
tests/unit/framework_utils/test_tf_feature_columns.py . [ 32%]
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tests/unit/framework_utils/test_torch_layers.py . [ 38%]
tests/unit/loader/test_dataloader_backend.py . [ 38%]
tests/unit/loader/test_tf_dataloader.py ................................ [ 41%]
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tests/unit/loader/test_torch_dataloader.py ..................Build timed out (after 60 minutes). Marking the build as failed.
Terminated
Build was aborted
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://github.com/gitapi/repos/NVIDIA/NVTabular/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[nvtabular_tests] $ /bin/bash /tmp/jenkins5489287766969659595.sh

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GitHub pull request #1119 of commit a82538dcc64ccbd7d68435bac71abae391b401a8, no merge conflicts.
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 > git init /var/jenkins_home/workspace/nvtabular_tests/nvtabular # timeout=10
Fetching upstream changes from https://github.com/NVIDIA/NVTabular.git
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 > git rev-parse a82538dcc64ccbd7d68435bac71abae391b401a8^{commit} # timeout=10
Checking out Revision a82538dcc64ccbd7d68435bac71abae391b401a8 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f a82538dcc64ccbd7d68435bac71abae391b401a8 # timeout=10
Commit message: "Merge remote-tracking branch 'upstream/main' into gcs-optimize"
 > git rev-list --no-walk 1e8fc4efd6600a64898c0ae74591b555c9637e7e # timeout=10
[nvtabular_tests] $ /bin/bash /tmp/jenkins3124311042943212991.sh
Installing NVTabular
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: pip in /var/jenkins_home/.local/lib/python3.8/site-packages (21.2.4)
Requirement already satisfied: setuptools in /var/jenkins_home/.local/lib/python3.8/site-packages (58.0.4)
Requirement already satisfied: wheel in /var/jenkins_home/.local/lib/python3.8/site-packages (0.37.0)
Requirement already satisfied: pybind11 in /var/jenkins_home/.local/lib/python3.8/site-packages (2.7.1)
running develop
running egg_info
creating nvtabular.egg-info
writing nvtabular.egg-info/PKG-INFO
writing dependency_links to nvtabular.egg-info/dependency_links.txt
writing requirements to nvtabular.egg-info/requires.txt
writing top-level names to nvtabular.egg-info/top_level.txt
writing manifest file 'nvtabular.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
warning: no files found matching '*.h' under directory 'cpp'
warning: no files found matching '*.cu' under directory 'cpp'
warning: no files found matching '*.cuh' under directory 'cpp'
adding license file 'LICENSE'
writing manifest file 'nvtabular.egg-info/SOURCES.txt'
running build_ext
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/python3.8 -c flagcheck.cpp -o flagcheck.o -std=c++17
building 'nvtabular_cpp' extension
creating build
creating build/temp.linux-x86_64-3.8
creating build/temp.linux-x86_64-3.8/cpp
creating build/temp.linux-x86_64-3.8/cpp/nvtabular
creating build/temp.linux-x86_64-3.8/cpp/nvtabular/inference
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+71.ga82538d -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/__init__.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/__init__.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+71.ga82538d -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/__init__.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/__init__.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+71.ga82538d -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/categorify.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/categorify.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+71.ga82538d -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/fill.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/fill.o -std=c++17 -fvisibility=hidden -g0
creating build/lib.linux-x86_64-3.8
x86_64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.8/cpp/nvtabular/__init__.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/__init__.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/categorify.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/fill.o -o build/lib.linux-x86_64-3.8/nvtabular_cpp.cpython-38-x86_64-linux-gnu.so
copying build/lib.linux-x86_64-3.8/nvtabular_cpp.cpython-38-x86_64-linux-gnu.so -> 
Generating nvtabular/inference/triton/model_config_pb2.py from nvtabular/inference/triton/model_config.proto
Creating /var/jenkins_home/.local/lib/python3.8/site-packages/nvtabular.egg-link (link to .)
nvtabular 0.6.0+71.ga82538d is already the active version in easy-install.pth

Installed /var/jenkins_home/workspace/nvtabular_tests/nvtabular
Processing dependencies for nvtabular==0.6.0+71.ga82538d
Searching for protobuf==3.17.3
Best match: protobuf 3.17.3
Adding protobuf 3.17.3 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for tensorflow-metadata==1.2.0
Best match: tensorflow-metadata 1.2.0
Processing tensorflow_metadata-1.2.0-py3.8.egg
tensorflow-metadata 1.2.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tensorflow_metadata-1.2.0-py3.8.egg
Searching for pyarrow==4.0.1
Best match: pyarrow 4.0.1
Adding pyarrow 4.0.1 to easy-install.pth file
Installing plasma_store script to /var/jenkins_home/.local/bin

Using /usr/local/lib/python3.8/dist-packages
Searching for tqdm==4.61.2
Best match: tqdm 4.61.2
Processing tqdm-4.61.2-py3.8.egg
tqdm 4.61.2 is already the active version in easy-install.pth
Installing tqdm script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tqdm-4.61.2-py3.8.egg
Searching for numba==0.54.0
Best match: numba 0.54.0
Processing numba-0.54.0-py3.8-linux-x86_64.egg
numba 0.54.0 is already the active version in easy-install.pth
Installing pycc script to /var/jenkins_home/.local/bin
Installing numba script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/numba-0.54.0-py3.8-linux-x86_64.egg
Searching for pandas==1.2.5
Best match: pandas 1.2.5
Processing pandas-1.2.5-py3.8-linux-x86_64.egg
pandas 1.2.5 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg
Searching for distributed==2021.4.1
Best match: distributed 2021.4.1
Processing distributed-2021.4.1-py3.8.egg
distributed 2021.4.1 is already the active version in easy-install.pth
Installing dask-ssh script to /var/jenkins_home/.local/bin
Installing dask-scheduler script to /var/jenkins_home/.local/bin
Installing dask-worker script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/distributed-2021.4.1-py3.8.egg
Searching for dask==2021.4.1
Best match: dask 2021.4.1
Processing dask-2021.4.1-py3.8.egg
dask 2021.4.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/dask-2021.4.1-py3.8.egg
Searching for PyYAML==5.4.1
Best match: PyYAML 5.4.1
Processing PyYAML-5.4.1-py3.8-linux-x86_64.egg
PyYAML 5.4.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg
Searching for six==1.15.0
Best match: six 1.15.0
Adding six 1.15.0 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for googleapis-common-protos==1.53.0
Best match: googleapis-common-protos 1.53.0
Processing googleapis_common_protos-1.53.0-py3.8.egg
googleapis-common-protos 1.53.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/googleapis_common_protos-1.53.0-py3.8.egg
Searching for absl-py==0.12.0
Best match: absl-py 0.12.0
Processing absl_py-0.12.0-py3.8.egg
absl-py 0.12.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/absl_py-0.12.0-py3.8.egg
Searching for numpy==1.20.2
Best match: numpy 1.20.2
Adding numpy 1.20.2 to easy-install.pth file
Installing f2py script to /var/jenkins_home/.local/bin
Installing f2py3 script to /var/jenkins_home/.local/bin
Installing f2py3.8 script to /var/jenkins_home/.local/bin

Using /usr/local/lib/python3.8/dist-packages
Searching for setuptools==58.0.4
Best match: setuptools 58.0.4
Adding setuptools 58.0.4 to easy-install.pth file

Using /var/jenkins_home/.local/lib/python3.8/site-packages
Searching for llvmlite==0.37.0
Best match: llvmlite 0.37.0
Processing llvmlite-0.37.0-py3.8-linux-x86_64.egg
llvmlite 0.37.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/llvmlite-0.37.0-py3.8-linux-x86_64.egg
Searching for pytz==2021.1
Best match: pytz 2021.1
Adding pytz 2021.1 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for python-dateutil==2.8.2
Best match: python-dateutil 2.8.2
Adding python-dateutil 2.8.2 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for zict==2.0.0
Best match: zict 2.0.0
Processing zict-2.0.0-py3.8.egg
zict 2.0.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg
Searching for tornado==6.1
Best match: tornado 6.1
Processing tornado-6.1-py3.8-linux-x86_64.egg
tornado 6.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg
Searching for toolz==0.11.1
Best match: toolz 0.11.1
Processing toolz-0.11.1-py3.8.egg
toolz 0.11.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/toolz-0.11.1-py3.8.egg
Searching for tblib==1.7.0
Best match: tblib 1.7.0
Processing tblib-1.7.0-py3.8.egg
tblib 1.7.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg
Searching for sortedcontainers==2.4.0
Best match: sortedcontainers 2.4.0
Processing sortedcontainers-2.4.0-py3.8.egg
sortedcontainers 2.4.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg
Searching for psutil==5.8.0
Best match: psutil 5.8.0
Processing psutil-5.8.0-py3.8-linux-x86_64.egg
psutil 5.8.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg
Searching for msgpack==1.0.2
Best match: msgpack 1.0.2
Processing msgpack-1.0.2-py3.8-linux-x86_64.egg
msgpack 1.0.2 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/msgpack-1.0.2-py3.8-linux-x86_64.egg
Searching for cloudpickle==1.6.0
Best match: cloudpickle 1.6.0
Processing cloudpickle-1.6.0-py3.8.egg
cloudpickle 1.6.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/cloudpickle-1.6.0-py3.8.egg
Searching for click==8.0.1
Best match: click 8.0.1
Processing click-8.0.1-py3.8.egg
click 8.0.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/click-8.0.1-py3.8.egg
Searching for partd==1.2.0
Best match: partd 1.2.0
Processing partd-1.2.0-py3.8.egg
partd 1.2.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg
Searching for fsspec==2021.8.1
Best match: fsspec 2021.8.1
Processing fsspec-2021.8.1-py3.8.egg
fsspec 2021.8.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/fsspec-2021.8.1-py3.8.egg
Searching for HeapDict==1.0.1
Best match: HeapDict 1.0.1
Processing HeapDict-1.0.1-py3.8.egg
HeapDict 1.0.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg
Searching for locket==0.2.1
Best match: locket 0.2.1
Processing locket-0.2.1-py3.8.egg
locket 0.2.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg
Finished processing dependencies for nvtabular==0.6.0+71.ga82538d
Running black --check
All done! ✨ 🍰 ✨
127 files would be left unchanged.
Running flake8
Running isort
Skipped 2 files
Running bandit
Running pylint
************* Module nvtabular.ops.categorify
nvtabular/ops/categorify.py:493:15: I1101: Module 'nvtabular_cpp' has no 'inference' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member)
************* Module nvtabular.ops.fill
nvtabular/ops/fill.py:67:15: I1101: Module 'nvtabular_cpp' has no 'inference' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member)


Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00)

Running flake8-nb
Building docs
make: Entering directory '/var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs'
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.6) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
make: Leaving directory '/var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs'
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-6.2.5, py-1.10.0, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/nvtabular_tests/nvtabular, configfile: pyproject.toml
plugins: cov-2.12.1, forked-1.3.0, xdist-2.3.0
collected 1510 items / 1 skipped / 1509 selected

tests/unit/test_dask_nvt.py ............................................ [ 2%]
..................................................................... [ 7%]
tests/unit/test_io.py .................................................. [ 10%]
........................................................................ [ 15%]
.........ssssssss.....................................................ss [ 20%]
[ 20%]
tests/unit/test_notebooks.py ...... [ 20%]
tests/unit/test_tf4rec.py . [ 20%]
tests/unit/test_tools.py ...................... [ 22%]
tests/unit/test_triton_inference.py .............................. [ 24%]
tests/unit/columns/test_column_schemas.py .............................. [ 26%]
.................................................. [ 29%]
tests/unit/columns/test_column_selector.py .................... [ 30%]
tests/unit/framework_utils/test_tf_feature_columns.py . [ 30%]
tests/unit/framework_utils/test_tf_layers.py ........................... [ 32%]
................................................... [ 36%]
tests/unit/framework_utils/test_torch_layers.py . [ 36%]
tests/unit/loader/test_dataloader_backend.py ..... [ 36%]
tests/unit/loader/test_tf_dataloader.py ................................ [ 38%]
........................................s [ 41%]
tests/unit/loader/test_torch_dataloader.py ............................. [ 43%]
..................................................... [ 46%]
tests/unit/ops/test_column_similarity.py ........................ [ 48%]
tests/unit/ops/test_ops.py ............................................. [ 51%]
........................................................................ [ 56%]
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tests/unit/ops/test_ops_schema.py ...................................... [ 80%]
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tests/unit/workflow/test_cpu_workflow.py ...... [ 91%]
tests/unit/workflow/test_workflow.py ................................... [ 93%]
.......................................................... [ 97%]
tests/unit/workflow/test_workflow_node.py ........... [ 98%]
tests/unit/workflow/test_workflow_ops.py .. [ 98%]
tests/unit/workflow/test_workflow_schemas.py ....................... [100%]

=============================== warnings summary ===============================
tests/unit/test_dask_nvt.py: 3 warnings
tests/unit/test_io.py: 24 warnings
tests/unit/test_tf4rec.py: 2 warnings
tests/unit/test_tools.py: 2 warnings
tests/unit/test_triton_inference.py: 5 warnings
tests/unit/loader/test_dataloader_backend.py: 4 warnings
tests/unit/loader/test_tf_dataloader.py: 48 warnings
tests/unit/loader/test_torch_dataloader.py: 14 warnings
tests/unit/ops/test_column_similarity.py: 7 warnings
tests/unit/ops/test_ops.py: 74 warnings
tests/unit/workflow/test_workflow.py: 31 warnings
tests/unit/workflow/test_workflow_node.py: 1 warning
tests/unit/workflow/test_workflow_schemas.py: 1 warning
/var/jenkins_home/.local/lib/python3.8/site-packages/numba-0.54.0-py3.8-linux-x86_64.egg/numba/cuda/compiler.py:865: NumbaPerformanceWarning: �[1mGrid size (1) < 2 * SM count (112) will likely result in GPU under utilization due to low occupancy.�[0m
warn(NumbaPerformanceWarning(msg))

tests/unit/test_io.py::test_validate_dataset_bad_schema
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/io/dataset.py:1102: UserWarning: Unable to sample column dtypes to infer nvt.Dataset schema, schema is empty.
warnings.warn(

tests/unit/test_io.py: 96 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/init.py:38: DeprecationWarning: ColumnGroup is deprecated, use ColumnSelector instead
warnings.warn("ColumnGroup is deprecated, use ColumnSelector instead", DeprecationWarning)

tests/unit/test_io.py: 24 warnings
tests/unit/loader/test_torch_dataloader.py: 54 warnings
tests/unit/workflow/test_workflow_node.py: 1 warning
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/workflow/node.py:47: FutureWarning: The ["a", "b", "c"] >> ops.Operator syntax for creating a ColumnGroup has been deprecated in NVTabular 21.09 and will be removed in a future version.
warnings.warn(

tests/unit/test_io.py: 36 warnings
tests/unit/workflow/test_workflow.py: 44 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/workflow/workflow.py:89: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler will be used for execution. Please use the client argument to initialize a Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/test_io.py: 52 warnings
tests/unit/workflow/test_workflow.py: 35 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/io/dask.py:372: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler will be used for this write operation. Please use the client argument to initialize a Dataset and/or Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/test_io.py: 36 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/io/dataset.py:508: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler is being used for this shuffle operation. Please use the client argument to initialize a Dataset and/or Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/ops/test_column_similarity.py: 12 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/column_similarity.py:109: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[name] = similarities

tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-parquet-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-parquet-0.1]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-0.1]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-no-header-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-no-header-0.1]
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/fill.py:125: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[f"{col}_filled"] = df[col].isna()

tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-parquet-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-parquet-0.1]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-0.1]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-no-header-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-no-header-0.1]
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/fill.py:126: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[col] = df[col].fillna(self.medians[col])

tests/unit/ops/test_ops.py::test_fill_missing[True-True-parquet]
tests/unit/ops/test_ops.py::test_fill_missing[True-False-parquet]
tests/unit/ops/test_ops.py::test_filter[parquet-0.1-True]
/var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg/pandas/core/indexing.py:1637: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
self._setitem_single_block(indexer, value, name)

tests/unit/ops/test_ops.py::test_fill_missing[True-True-parquet]
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/fill.py:54: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[f"{col}_filled"] = df[col].isna()

tests/unit/ops/test_ops.py::test_fill_missing[True-True-parquet]
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/fill.py:55: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[col] = df[col].fillna(self.fill_val)

tests/unit/ops/test_ops.py: 96 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/join_external.py:190: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[tmp] = _arange(len(df), like_df=df, dtype="int32")

tests/unit/ops/test_ops.py::test_join_external[True-True-left-host-pandas-parquet]
tests/unit/ops/test_ops.py::test_join_external[True-True-left-device-pandas-parquet]
tests/unit/ops/test_ops.py::test_join_external[True-True-inner-host-pandas-parquet]
tests/unit/ops/test_ops.py::test_join_external[True-True-inner-device-pandas-parquet]
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/join_external.py:171: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
_ext.drop_duplicates(ignore_index=True, inplace=True)

tests/unit/ops/test_ops.py::test_filter[parquet-0.1-True]
tests/unit/ops/test_ops.py::test_filter[parquet-0.1-False]
tests/unit/ops/test_ops.py::test_groupby_op[id-True]
tests/unit/ops/test_ops.py::test_groupby_op[id-False]
/var/jenkins_home/.local/lib/python3.8/site-packages/dask-2021.4.1-py3.8.egg/dask/dataframe/core.py:6610: UserWarning: Insufficient elements for head. 1 elements requested, only 0 elements available. Try passing larger npartitions to head.
warnings.warn(msg.format(n, len(r)))

tests/unit/workflow/test_cpu_workflow.py: 78 warnings
/var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg/pandas/core/frame.py:3191: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
self[k1] = value[k2]

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

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

examples/multi-gpu-movielens/torch_trainer.py 65 0 6 1 99% 32->36
nvtabular/init.py 18 0 0 0 100%
nvtabular/columns/init.py 2 0 0 0 100%
nvtabular/columns/schema.py 213 20 107 23 87% 45->61, 48, 50, 52-55, 57, 67, 82, 98->109, 104, 147, 174, 260->267, 262, 263->265, 275, 291, 292->297, 295->297, 308, 332, 339, 348, 351, 356->355
nvtabular/columns/selector.py 74 1 34 0 99% 121
nvtabular/dispatch.py 273 55 132 22 78% 36-40, 45-47, 53-63, 70-71, 99-101, 106-109, 113-118, 125, 144, 155, 161, 166->168, 179, 202-205, 244, 247, 253, 269, 276, 307->312, 310, 313, 316->320, 353, 364-367, 394-397, 427, 431, 472, 496, 498, 505
nvtabular/framework_utils/init.py 0 0 0 0 100%
nvtabular/framework_utils/tensorflow/init.py 1 0 0 0 100%
nvtabular/framework_utils/tensorflow/feature_column_utils.py 134 78 90 15 39% 30, 99, 103, 114-130, 140, 143-158, 162, 166-167, 173-198, 207-217, 220-227, 229->233, 234, 239-279, 282
nvtabular/framework_utils/tensorflow/layers/init.py 4 0 0 0 100%
nvtabular/framework_utils/tensorflow/layers/embedding.py 153 12 85 6 91% 60, 68->49, 122, 179, 231-239, 335->343, 357->360, 363-364, 367
nvtabular/framework_utils/tensorflow/layers/interaction.py 47 25 20 1 43% 49, 74-103, 106-110, 113
nvtabular/framework_utils/tensorflow/layers/outer_product.py 30 24 10 0 15% 37-38, 41-60, 71-84, 87
nvtabular/framework_utils/torch/init.py 0 0 0 0 100%
nvtabular/framework_utils/torch/layers/init.py 2 0 0 0 100%
nvtabular/framework_utils/torch/layers/embeddings.py 32 2 14 2 91% 50, 91
nvtabular/framework_utils/torch/models.py 45 1 28 4 93% 57->61, 87->89, 93->96, 103
nvtabular/framework_utils/torch/utils.py 75 5 30 5 90% 51->53, 64, 71->76, 75, 118-120
nvtabular/inference/init.py 0 0 0 0 100%
nvtabular/inference/triton/init.py 385 210 180 13 45% 82-86, 141-174, 195-218, 263-307, 338, 364-372, 380-387, 406, 428-444, 485-489, 527-537, 583-623, 629-645, 649-716, 723->726, 726->722, 762-772, 781, 791, 812, 818-844, 850-876, 883, 889->892, 893
nvtabular/inference/triton/benchmarking_tools.py 52 52 10 0 0% 2-103
nvtabular/inference/triton/data_conversions.py 87 3 58 4 95% 32-33, 84
nvtabular/inference/triton/model.py 176 176 98 0 0% 27-332
nvtabular/inference/triton/model_config_pb2.py 299 0 2 0 100%
nvtabular/inference/triton/model_pt.py 101 101 40 0 0% 27-220
nvtabular/io/init.py 4 0 0 0 100%
nvtabular/io/avro.py 88 88 30 0 0% 16-189
nvtabular/io/csv.py 57 6 20 5 86% 22-23, 99, 103->107, 108, 110, 124
nvtabular/io/dask.py 183 18 72 11 87% 111, 114, 150, 235-246, 398, 408, 425->428, 436, 440->442, 442->438, 447, 449
nvtabular/io/dataframe_engine.py 61 5 28 6 88% 19-20, 50, 69, 88->92, 92->97, 94->97, 97->116, 125
nvtabular/io/dataset.py 351 76 164 28 75% 46-47, 257, 259, 272, 281, 299-313, 433->507, 438-441, 447-454, 459-503, 507->516, 567-568, 569->573, 616, 738, 740, 742, 748, 752-754, 756, 816-817, 844, 851-852, 858, 864, 960-961, 1078-1083, 1089, 1168, 1177
nvtabular/io/dataset_engine.py 24 1 0 0 96% 48
nvtabular/io/fsspec_utils.py 145 127 76 0 8% 27-28, 43-99, 104-127, 150-190, 212-262, 267-283, 287-289, 297-301, 306-316, 330-363
nvtabular/io/hugectr.py 45 2 24 2 91% 34, 74->97, 101
nvtabular/io/parquet.py 550 45 182 28 89% 34-35, 56, 75, 79->106, 88, 92->94, 101, 126, 136->141, 154, 156, 180->184, 187-193, 241, 244-252, 267, 273, 291->293, 306, 325-335, 476-481, 519-524, 640->647, 708->713, 714-715, 835, 839, 843, 849, 881, 898, 902, 909->911, 1019->exit, 1029->1034, 1039->1049, 1054, 1076
nvtabular/io/shuffle.py 31 6 16 5 77% 42, 44-45, 49, 59, 63
nvtabular/io/writer.py 175 13 68 5 92% 24-25, 51, 79, 125, 128, 212, 221, 224, 267, 288-290
nvtabular/io/writer_factory.py 18 2 8 2 85% 35, 60
nvtabular/loader/init.py 0 0 0 0 100%
nvtabular/loader/backend.py 328 13 138 10 95% 128, 143-144, 235->237, 247-251, 297-298, 337->341, 412, 416-417, 447, 552, 560
nvtabular/loader/tensorflow.py 163 22 52 7 86% 58, 66-69, 84, 98, 308, 344, 359-361, 390-392, 402-410, 413-416
nvtabular/loader/tf_utils.py 55 10 20 5 80% 29->32, 32->34, 39->41, 43, 50-51, 58-60, 66-70
nvtabular/loader/torch.py 81 13 16 2 78% 25-27, 30-36, 111, 149-150
nvtabular/ops/init.py 21 0 0 0 100%
nvtabular/ops/bucketize.py 37 10 18 3 69% 53-55, 59->exit, 62-65, 84-87, 94
nvtabular/ops/categorify.py 619 66 334 47 86% 244, 246, 263, 267, 275, 283, 285, 312, 331-332, 355, 366->370, 374-381, 463-464, 489-490, 499, 562->558, 584->586, 684, 702, 738, 816-817, 832-836, 837->801, 855, 863, 870->exit, 894, 897->900, 952, 957, 973->977, 984-987, 998, 1002, 1004, 1011, 1016-1019, 1097, 1099, 1169->1192, 1175->1192, 1193-1198, 1235, 1254->1259, 1258, 1268->1265, 1273->1265, 1280, 1283, 1291-1301
nvtabular/ops/clip.py 18 2 6 3 79% 44, 52->54, 55
nvtabular/ops/column_similarity.py 118 25 38 5 74% 19-20, 78->exit, 108, 134, 198-199, 208-210, 218-234, 251->254, 255, 265
nvtabular/ops/data_stats.py 56 2 22 3 94% 91->93, 95, 97->87, 102
nvtabular/ops/difference_lag.py 31 1 8 1 95% 69->71, 94
nvtabular/ops/dropna.py 8 0 0 0 100%
nvtabular/ops/fill.py 91 12 36 3 82% 63-67, 93, 121, 147, 151, 162-165
nvtabular/ops/filter.py 20 1 6 1 92% 49
nvtabular/ops/groupby.py 119 3 70 4 96% 73, 84, 94->96, 106->111, 141
nvtabular/ops/hash_bucket.py 35 3 18 2 87% 72, 102, 108
nvtabular/ops/hashed_cross.py 36 4 15 3 86% 53, 66, 81, 91
nvtabular/ops/internal/init.py 3 0 0 0 100%
nvtabular/ops/internal/concat_columns.py 11 0 0 0 100%
nvtabular/ops/internal/identity.py 6 1 0 0 83% 42
nvtabular/ops/internal/subset_columns.py 13 1 0 0 92% 53
nvtabular/ops/join_external.py 89 7 36 6 90% 20-21, 113, 115, 117, 159, 176->178, 215
nvtabular/ops/join_groupby.py 101 7 36 4 92% 108, 115, 124, 131->130, 215-216, 219-220
nvtabular/ops/lambdaop.py 39 6 18 6 79% 59, 63, 77, 89, 94, 103
nvtabular/ops/list_slice.py 66 24 26 1 58% 21-22, 53-54, 104-118, 126-137
nvtabular/ops/logop.py 13 0 0 0 100%
nvtabular/ops/moments.py 65 0 20 0 100%
nvtabular/ops/normalize.py 81 10 14 1 86% 70, 78-79, 85, 118-119, 141-142, 146, 157
nvtabular/ops/operator.py 64 1 12 1 97% 111
nvtabular/ops/rename.py 41 3 22 3 90% 47, 88-90
nvtabular/ops/stat_operator.py 8 0 0 0 100%
nvtabular/ops/target_encoding.py 153 11 66 4 91% 167->171, 175->184, 232-233, 236-237, 249-255, 346->349, 362
nvtabular/tags.py 16 0 0 0 100%
nvtabular/tools/init.py 0 0 0 0 100%
nvtabular/tools/data_gen.py 236 1 62 1 99% 321
nvtabular/tools/dataset_inspector.py 50 7 18 1 79% 32-39
nvtabular/tools/inspector_script.py 46 46 0 0 0% 17-168
nvtabular/utils.py 102 43 46 8 52% 31-32, 36-37, 50, 61-62, 64-66, 69, 72, 78, 84, 90-126, 145, 149->153
nvtabular/worker.py 82 5 38 7 90% 24-25, 82->99, 91, 92->99, 99->102, 108, 110, 111->113
nvtabular/workflow/init.py 2 0 0 0 100%
nvtabular/workflow/node.py 229 18 110 10 89% 55, 93->98, 146, 248->252, 288, 302, 311, 329-334, 339, 388-389, 400->395, 439-444
nvtabular/workflow/workflow.py 221 15 112 7 93% 28-29, 47, 139, 195, 222-224, 332, 347-348, 366-367, 502, 514

TOTAL 7573 1547 3065 347 77%
Coverage XML written to file coverage.xml

Required test coverage of 70% reached. Total coverage: 76.79%
=========================== short test summary info ============================
SKIPPED [1] ../../../../../usr/local/lib/python3.8/dist-packages/dask_cudf/io/tests/test_s3.py:16: could not import 's3fs': No module named 's3fs'
SKIPPED [8] tests/unit/test_io.py:544: could not import 'uavro': No module named 'uavro'
SKIPPED [2] tests/unit/test_io.py:903: Dask>=2021.07.1 required for file aggregation
SKIPPED [1] tests/unit/loader/test_tf_dataloader.py:521: not working correctly in ci environment
========= 1499 passed, 12 skipped, 806 warnings in 2953.76s (0:49:13) ==========
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://github.com/gitapi/repos/NVIDIA/NVTabular/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[nvtabular_tests] $ /bin/bash /tmp/jenkins2129627179367663976.sh

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GitHub pull request #1119 of commit 5333ebff2ed0a69be248f36577b2257ec2255c1b, no merge conflicts.
Running as SYSTEM
Setting status of 5333ebff2ed0a69be248f36577b2257ec2255c1b to PENDING with url http://10.20.13.93:8080/job/nvtabular_tests/3488/ and message: 'Pending'
Using context: Jenkins Unit Test Run
Building in workspace /var/jenkins_home/workspace/nvtabular_tests
using credential nvidia-merlin-bot
Cloning the remote Git repository
Cloning repository https://github.com/NVIDIA/NVTabular.git
 > git init /var/jenkins_home/workspace/nvtabular_tests/nvtabular # timeout=10
Fetching upstream changes from https://github.com/NVIDIA/NVTabular.git
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA/NVTabular.git +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/NVIDIA/NVTabular.git # timeout=10
 > git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/NVIDIA/NVTabular.git # timeout=10
Fetching upstream changes from https://github.com/NVIDIA/NVTabular.git
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA/NVTabular.git +refs/pull/1119/*:refs/remotes/origin/pr/1119/* # timeout=10
 > git rev-parse 5333ebff2ed0a69be248f36577b2257ec2255c1b^{commit} # timeout=10
Checking out Revision 5333ebff2ed0a69be248f36577b2257ec2255c1b (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 5333ebff2ed0a69be248f36577b2257ec2255c1b # timeout=10
Commit message: "Merge remote-tracking branch 'upstream/main' into gcs-optimize"
 > git rev-list --no-walk ede6ad717e30896fc0bf516d427d0e2bfd6e535a # timeout=10
First time build. Skipping changelog.
[nvtabular_tests] $ /bin/bash /tmp/jenkins5369303305770033685.sh
Installing NVTabular
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: pip in /var/jenkins_home/.local/lib/python3.8/site-packages (21.2.4)
Requirement already satisfied: setuptools in /var/jenkins_home/.local/lib/python3.8/site-packages (58.0.4)
Requirement already satisfied: wheel in /var/jenkins_home/.local/lib/python3.8/site-packages (0.37.0)
Requirement already satisfied: pybind11 in /var/jenkins_home/.local/lib/python3.8/site-packages (2.7.1)
running develop
running egg_info
creating nvtabular.egg-info
writing nvtabular.egg-info/PKG-INFO
writing dependency_links to nvtabular.egg-info/dependency_links.txt
writing requirements to nvtabular.egg-info/requires.txt
writing top-level names to nvtabular.egg-info/top_level.txt
writing manifest file 'nvtabular.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
warning: no files found matching '*.h' under directory 'cpp'
warning: no files found matching '*.cu' under directory 'cpp'
warning: no files found matching '*.cuh' under directory 'cpp'
adding license file 'LICENSE'
writing manifest file 'nvtabular.egg-info/SOURCES.txt'
running build_ext
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/python3.8 -c flagcheck.cpp -o flagcheck.o -std=c++17
building 'nvtabular_cpp' extension
creating build
creating build/temp.linux-x86_64-3.8
creating build/temp.linux-x86_64-3.8/cpp
creating build/temp.linux-x86_64-3.8/cpp/nvtabular
creating build/temp.linux-x86_64-3.8/cpp/nvtabular/inference
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+76.g5333ebf -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/__init__.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/__init__.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc: fatal error: Terminated signal terminated program cc1plus
compilation terminated.
error: command 'x86_64-linux-gnu-gcc' failed with exit status 1
Terminated
Build was aborted
Aborted by �[8mha:////4I6AZwo/1Z8Fal8AhZTEatjIwqNwCcqT21311HdysuK+AAAAlx+LCAAAAAAAAP9b85aBtbiIQTGjNKU4P08vOT+vOD8nVc83PyU1x6OyILUoJzMv2y+/JJUBAhiZGBgqihhk0NSjKDWzXb3RdlLBUSYGJk8GtpzUvPSSDB8G5tKinBIGIZ+sxLJE/ZzEvHT94JKizLx0a6BxUmjGOUNodHsLgAzWEgZu/dLi1CL9xJTczDwAj6GcLcAAAAA=�[0madmin
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://github.com/gitapi/repos/NVIDIA/NVTabular/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log" 
[nvtabular_tests] $ /bin/bash /tmp/jenkins8865191790768911352.sh

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GitHub pull request #1119 of commit fc66fc7da3c17d361236aceab827c14f697873f6, no merge conflicts.
Running as SYSTEM
Setting status of fc66fc7da3c17d361236aceab827c14f697873f6 to PENDING with url http://10.20.13.93:8080/job/nvtabular_tests/3490/ and message: 'Pending'
Using context: Jenkins Unit Test Run
Building in workspace /var/jenkins_home/workspace/nvtabular_tests
using credential nvidia-merlin-bot
Cloning the remote Git repository
Cloning repository https://github.com/NVIDIA/NVTabular.git
 > git init /var/jenkins_home/workspace/nvtabular_tests/nvtabular # timeout=10
Fetching upstream changes from https://github.com/NVIDIA/NVTabular.git
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA/NVTabular.git +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/NVIDIA/NVTabular.git # timeout=10
 > git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/NVIDIA/NVTabular.git # timeout=10
Fetching upstream changes from https://github.com/NVIDIA/NVTabular.git
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA/NVTabular.git +refs/pull/1119/*:refs/remotes/origin/pr/1119/* # timeout=10
 > git rev-parse fc66fc7da3c17d361236aceab827c14f697873f6^{commit} # timeout=10
Checking out Revision fc66fc7da3c17d361236aceab827c14f697873f6 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f fc66fc7da3c17d361236aceab827c14f697873f6 # timeout=10
Commit message: "Merge branch 'avoid-client-read' into gcs-optimize"
 > git rev-list --no-walk e2f9d5700e3e5811df6cdef789f5032b5d9aa961 # timeout=10
First time build. Skipping changelog.
[nvtabular_tests] $ /bin/bash /tmp/jenkins768896684694231085.sh
Installing NVTabular
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: pip in /var/jenkins_home/.local/lib/python3.8/site-packages (21.2.4)
Requirement already satisfied: setuptools in /var/jenkins_home/.local/lib/python3.8/site-packages (58.0.4)
Requirement already satisfied: wheel in /var/jenkins_home/.local/lib/python3.8/site-packages (0.37.0)
Requirement already satisfied: pybind11 in /var/jenkins_home/.local/lib/python3.8/site-packages (2.7.1)
running develop
running egg_info
creating nvtabular.egg-info
writing nvtabular.egg-info/PKG-INFO
writing dependency_links to nvtabular.egg-info/dependency_links.txt
writing requirements to nvtabular.egg-info/requires.txt
writing top-level names to nvtabular.egg-info/top_level.txt
writing manifest file 'nvtabular.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
warning: no files found matching '*.h' under directory 'cpp'
warning: no files found matching '*.cu' under directory 'cpp'
warning: no files found matching '*.cuh' under directory 'cpp'
adding license file 'LICENSE'
writing manifest file 'nvtabular.egg-info/SOURCES.txt'
running build_ext
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/python3.8 -c flagcheck.cpp -o flagcheck.o -std=c++17
building 'nvtabular_cpp' extension
creating build
creating build/temp.linux-x86_64-3.8
creating build/temp.linux-x86_64-3.8/cpp
creating build/temp.linux-x86_64-3.8/cpp/nvtabular
creating build/temp.linux-x86_64-3.8/cpp/nvtabular/inference
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+84.gfc66fc7 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/__init__.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/__init__.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc: fatal error: Terminated signal terminated program cc1plus
compilation terminated.
error: command 'x86_64-linux-gnu-gcc' failed with exit status 1
Terminated
Build was aborted
Aborted by �[8mha:////4I6AZwo/1Z8Fal8AhZTEatjIwqNwCcqT21311HdysuK+AAAAlx+LCAAAAAAAAP9b85aBtbiIQTGjNKU4P08vOT+vOD8nVc83PyU1x6OyILUoJzMv2y+/JJUBAhiZGBgqihhk0NSjKDWzXb3RdlLBUSYGJk8GtpzUvPSSDB8G5tKinBIGIZ+sxLJE/ZzEvHT94JKizLx0a6BxUmjGOUNodHsLgAzWEgZu/dLi1CL9xJTczDwAj6GcLcAAAAA=�[0madmin
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://github.com/gitapi/repos/NVIDIA/NVTabular/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log" 
[nvtabular_tests] $ /bin/bash /tmp/jenkins3494581783528358186.sh

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GitHub pull request #1119 of commit 0afe79416882f2b3e40cd00a42fc66f0c81bdb5c, no merge conflicts.
Running as SYSTEM
Setting status of 0afe79416882f2b3e40cd00a42fc66f0c81bdb5c to PENDING with url http://10.20.13.93:8080/job/nvtabular_tests/3492/ and message: 'Pending'
Using context: Jenkins Unit Test Run
Building in workspace /var/jenkins_home/workspace/nvtabular_tests
using credential nvidia-merlin-bot
Cloning the remote Git repository
Cloning repository https://github.com/NVIDIA/NVTabular.git
 > git init /var/jenkins_home/workspace/nvtabular_tests/nvtabular # timeout=10
Fetching upstream changes from https://github.com/NVIDIA/NVTabular.git
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA/NVTabular.git +refs/heads/*:refs/remotes/origin/* # timeout=10
Build was aborted
Aborted by �[8mha:////4I6AZwo/1Z8Fal8AhZTEatjIwqNwCcqT21311HdysuK+AAAAlx+LCAAAAAAAAP9b85aBtbiIQTGjNKU4P08vOT+vOD8nVc83PyU1x6OyILUoJzMv2y+/JJUBAhiZGBgqihhk0NSjKDWzXb3RdlLBUSYGJk8GtpzUvPSSDB8G5tKinBIGIZ+sxLJE/ZzEvHT94JKizLx0a6BxUmjGOUNodHsLgAzWEgZu/dLi1CL9xJTczDwAj6GcLcAAAAA=�[0madmin
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://github.com/gitapi/repos/NVIDIA/NVTabular/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log" 
[nvtabular_tests] $ /bin/bash /tmp/jenkins7054874672761530560.sh

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GitHub pull request #1119 of commit 099de7981d137ba7f314491f58321df3306bdf0c, no merge conflicts.
Running as SYSTEM
Setting status of 099de7981d137ba7f314491f58321df3306bdf0c to PENDING with url http://10.20.13.93:8080/job/nvtabular_tests/3505/ and message: 'Pending'
Using context: Jenkins Unit Test Run
Building in workspace /var/jenkins_home/workspace/nvtabular_tests
using credential nvidia-merlin-bot
Cloning the remote Git repository
Cloning repository https://github.com/NVIDIA/NVTabular.git
 > git init /var/jenkins_home/workspace/nvtabular_tests/nvtabular # timeout=10
Fetching upstream changes from https://github.com/NVIDIA/NVTabular.git
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA/NVTabular.git +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/NVIDIA/NVTabular.git # timeout=10
 > git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/NVIDIA/NVTabular.git # timeout=10
Fetching upstream changes from https://github.com/NVIDIA/NVTabular.git
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA/NVTabular.git +refs/pull/1119/*:refs/remotes/origin/pr/1119/* # timeout=10
 > git rev-parse 099de7981d137ba7f314491f58321df3306bdf0c^{commit} # timeout=10
Checking out Revision 099de7981d137ba7f314491f58321df3306bdf0c (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 099de7981d137ba7f314491f58321df3306bdf0c # timeout=10
Commit message: "Merge remote-tracking branch 'upstream/main' into gcs-optimize"
 > git rev-list --no-walk 652ef39e2f12fd6ecff6c4e7d4e001a3be9cd83a # timeout=10
First time build. Skipping changelog.
[nvtabular_tests] $ /bin/bash /tmp/jenkins5442119827516041522.sh
Installing NVTabular
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: pip in /var/jenkins_home/.local/lib/python3.8/site-packages (21.2.4)
Requirement already satisfied: setuptools in /var/jenkins_home/.local/lib/python3.8/site-packages (58.0.4)
Requirement already satisfied: wheel in /var/jenkins_home/.local/lib/python3.8/site-packages (0.37.0)
Requirement already satisfied: pybind11 in /var/jenkins_home/.local/lib/python3.8/site-packages (2.7.1)
running develop
running egg_info
creating nvtabular.egg-info
writing nvtabular.egg-info/PKG-INFO
writing dependency_links to nvtabular.egg-info/dependency_links.txt
writing requirements to nvtabular.egg-info/requires.txt
writing top-level names to nvtabular.egg-info/top_level.txt
writing manifest file 'nvtabular.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
warning: no files found matching '*.h' under directory 'cpp'
warning: no files found matching '*.cu' under directory 'cpp'
warning: no files found matching '*.cuh' under directory 'cpp'
adding license file 'LICENSE'
writing manifest file 'nvtabular.egg-info/SOURCES.txt'
running build_ext
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/python3.8 -c flagcheck.cpp -o flagcheck.o -std=c++17
building 'nvtabular_cpp' extension
creating build
creating build/temp.linux-x86_64-3.8
creating build/temp.linux-x86_64-3.8/cpp
creating build/temp.linux-x86_64-3.8/cpp/nvtabular
creating build/temp.linux-x86_64-3.8/cpp/nvtabular/inference
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+98.g099de79 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/__init__.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/__init__.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+98.g099de79 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/__init__.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/__init__.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+98.g099de79 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/categorify.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/categorify.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+98.g099de79 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/fill.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/fill.o -std=c++17 -fvisibility=hidden -g0
creating build/lib.linux-x86_64-3.8
x86_64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.8/cpp/nvtabular/__init__.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/__init__.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/categorify.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/fill.o -o build/lib.linux-x86_64-3.8/nvtabular_cpp.cpython-38-x86_64-linux-gnu.so
copying build/lib.linux-x86_64-3.8/nvtabular_cpp.cpython-38-x86_64-linux-gnu.so -> 
Generating nvtabular/inference/triton/model_config_pb2.py from nvtabular/inference/triton/model_config.proto
Creating /var/jenkins_home/.local/lib/python3.8/site-packages/nvtabular.egg-link (link to .)
nvtabular 0.6.0+98.g099de79 is already the active version in easy-install.pth

Installed /var/jenkins_home/workspace/nvtabular_tests/nvtabular
Processing dependencies for nvtabular==0.6.0+98.g099de79
Searching for protobuf==3.17.3
Best match: protobuf 3.17.3
Adding protobuf 3.17.3 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for tensorflow-metadata==1.2.0
Best match: tensorflow-metadata 1.2.0
Processing tensorflow_metadata-1.2.0-py3.8.egg
tensorflow-metadata 1.2.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tensorflow_metadata-1.2.0-py3.8.egg
Searching for pyarrow==4.0.1
Best match: pyarrow 4.0.1
Adding pyarrow 4.0.1 to easy-install.pth file
Installing plasma_store script to /var/jenkins_home/.local/bin

Using /usr/local/lib/python3.8/dist-packages
Searching for tqdm==4.61.2
Best match: tqdm 4.61.2
Processing tqdm-4.61.2-py3.8.egg
tqdm 4.61.2 is already the active version in easy-install.pth
Installing tqdm script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tqdm-4.61.2-py3.8.egg
Searching for numba==0.54.0
Best match: numba 0.54.0
Processing numba-0.54.0-py3.8-linux-x86_64.egg
numba 0.54.0 is already the active version in easy-install.pth
Installing pycc script to /var/jenkins_home/.local/bin
Installing numba script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/numba-0.54.0-py3.8-linux-x86_64.egg
Searching for pandas==1.2.5
Best match: pandas 1.2.5
Processing pandas-1.2.5-py3.8-linux-x86_64.egg
pandas 1.2.5 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg
Searching for distributed==2021.4.1
Best match: distributed 2021.4.1
Processing distributed-2021.4.1-py3.8.egg
distributed 2021.4.1 is already the active version in easy-install.pth
Installing dask-ssh script to /var/jenkins_home/.local/bin
Installing dask-scheduler script to /var/jenkins_home/.local/bin
Installing dask-worker script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/distributed-2021.4.1-py3.8.egg
Searching for dask==2021.4.1
Best match: dask 2021.4.1
Processing dask-2021.4.1-py3.8.egg
dask 2021.4.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/dask-2021.4.1-py3.8.egg
Searching for PyYAML==5.4.1
Best match: PyYAML 5.4.1
Processing PyYAML-5.4.1-py3.8-linux-x86_64.egg
PyYAML 5.4.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg
Searching for six==1.15.0
Best match: six 1.15.0
Adding six 1.15.0 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for googleapis-common-protos==1.53.0
Best match: googleapis-common-protos 1.53.0
Processing googleapis_common_protos-1.53.0-py3.8.egg
googleapis-common-protos 1.53.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/googleapis_common_protos-1.53.0-py3.8.egg
Searching for absl-py==0.12.0
Best match: absl-py 0.12.0
Processing absl_py-0.12.0-py3.8.egg
absl-py 0.12.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/absl_py-0.12.0-py3.8.egg
Searching for numpy==1.20.2
Best match: numpy 1.20.2
Adding numpy 1.20.2 to easy-install.pth file
Installing f2py script to /var/jenkins_home/.local/bin
Installing f2py3 script to /var/jenkins_home/.local/bin
Installing f2py3.8 script to /var/jenkins_home/.local/bin

Using /usr/local/lib/python3.8/dist-packages
Searching for setuptools==58.0.4
Best match: setuptools 58.0.4
Adding setuptools 58.0.4 to easy-install.pth file

Using /var/jenkins_home/.local/lib/python3.8/site-packages
Searching for llvmlite==0.37.0
Best match: llvmlite 0.37.0
Processing llvmlite-0.37.0-py3.8-linux-x86_64.egg
llvmlite 0.37.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/llvmlite-0.37.0-py3.8-linux-x86_64.egg
Searching for pytz==2021.1
Best match: pytz 2021.1
Adding pytz 2021.1 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for python-dateutil==2.8.2
Best match: python-dateutil 2.8.2
Adding python-dateutil 2.8.2 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for zict==2.0.0
Best match: zict 2.0.0
Processing zict-2.0.0-py3.8.egg
zict 2.0.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg
Searching for tornado==6.1
Best match: tornado 6.1
Processing tornado-6.1-py3.8-linux-x86_64.egg
tornado 6.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg
Searching for toolz==0.11.1
Best match: toolz 0.11.1
Processing toolz-0.11.1-py3.8.egg
toolz 0.11.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/toolz-0.11.1-py3.8.egg
Searching for tblib==1.7.0
Best match: tblib 1.7.0
Processing tblib-1.7.0-py3.8.egg
tblib 1.7.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg
Searching for sortedcontainers==2.4.0
Best match: sortedcontainers 2.4.0
Processing sortedcontainers-2.4.0-py3.8.egg
sortedcontainers 2.4.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg
Searching for psutil==5.8.0
Best match: psutil 5.8.0
Processing psutil-5.8.0-py3.8-linux-x86_64.egg
psutil 5.8.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg
Searching for msgpack==1.0.2
Best match: msgpack 1.0.2
Processing msgpack-1.0.2-py3.8-linux-x86_64.egg
msgpack 1.0.2 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/msgpack-1.0.2-py3.8-linux-x86_64.egg
Searching for cloudpickle==1.6.0
Best match: cloudpickle 1.6.0
Processing cloudpickle-1.6.0-py3.8.egg
cloudpickle 1.6.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/cloudpickle-1.6.0-py3.8.egg
Searching for click==8.0.1
Best match: click 8.0.1
Processing click-8.0.1-py3.8.egg
click 8.0.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/click-8.0.1-py3.8.egg
Searching for partd==1.2.0
Best match: partd 1.2.0
Processing partd-1.2.0-py3.8.egg
partd 1.2.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg
Searching for fsspec==2021.8.1
Best match: fsspec 2021.8.1
Processing fsspec-2021.8.1-py3.8.egg
fsspec 2021.8.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/fsspec-2021.8.1-py3.8.egg
Searching for HeapDict==1.0.1
Best match: HeapDict 1.0.1
Processing HeapDict-1.0.1-py3.8.egg
HeapDict 1.0.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg
Searching for locket==0.2.1
Best match: locket 0.2.1
Processing locket-0.2.1-py3.8.egg
locket 0.2.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg
Finished processing dependencies for nvtabular==0.6.0+98.g099de79
Running black --check
All done! ✨ 🍰 ✨
129 files would be left unchanged.
Running flake8
Running isort
Skipped 2 files
Running bandit
Running pylint
************* Module nvtabular.ops.categorify
nvtabular/ops/categorify.py:504:15: I1101: Module 'nvtabular_cpp' has no 'inference' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member)
************* Module nvtabular.ops.fill
nvtabular/ops/fill.py:67:15: I1101: Module 'nvtabular_cpp' has no 'inference' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member)


Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00)

Running flake8-nb
Building docs
make: Entering directory '/var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs'
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.6) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
make: Leaving directory '/var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs'
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-6.2.5, py-1.10.0, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/nvtabular_tests/nvtabular, configfile: pyproject.toml
plugins: cov-2.12.1, forked-1.3.0, xdist-2.3.0
collected 1525 items / 1 skipped / 1524 selected

tests/unit/test_dask_nvt.py ............................................ [ 2%]
..................................................................... [ 7%]
tests/unit/test_io.py .................................................. [ 10%]
........................................................................ [ 15%]
..........ssssssss.....................................................s [ 20%]
s [ 20%]
tests/unit/test_notebooks.py ...... [ 20%]
tests/unit/test_tf4rec.py . [ 20%]
tests/unit/test_tools.py ...................... [ 22%]
tests/unit/test_triton_inference.py .............................. [ 24%]
tests/unit/columns/test_column_schemas.py .............................. [ 26%]
................................................... [ 29%]
tests/unit/columns/test_column_selector.py .................... [ 30%]
tests/unit/framework_utils/test_tf_feature_columns.py . [ 30%]
tests/unit/framework_utils/test_tf_layers.py ........................... [ 32%]
................................................... [ 35%]
tests/unit/framework_utils/test_torch_layers.py . [ 35%]
tests/unit/loader/test_dataloader_backend.py .. [ 36%]
tests/unit/loader/test_tf_dataloader.py ................................ [ 38%]
........................................s.. [ 40%]
tests/unit/loader/test_torch_dataloader.py ............................. [ 42%]
....................................................... [ 46%]
tests/unit/ops/test_column_similarity.py ........................ [ 48%]
tests/unit/ops/test_ops.py ............................................. [ 51%]
........................................................................ [ 55%]
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tests/unit/ops/test_ops_schema.py ...................................... [ 80%]
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tests/unit/workflow/test_cpu_workflow.py ...... [ 91%]
tests/unit/workflow/test_workflow.py ................................... [ 93%]
.......................................................... [ 97%]
tests/unit/workflow/test_workflow_node.py ........... [ 98%]
tests/unit/workflow/test_workflow_ops.py .. [ 98%]
tests/unit/workflow/test_workflow_schemas.py ....................... [100%]

=============================== warnings summary ===============================
tests/unit/test_dask_nvt.py: 3 warnings
tests/unit/test_io.py: 24 warnings
tests/unit/test_tf4rec.py: 2 warnings
tests/unit/test_tools.py: 2 warnings
tests/unit/test_triton_inference.py: 5 warnings
tests/unit/loader/test_tf_dataloader.py: 50 warnings
tests/unit/loader/test_torch_dataloader.py: 16 warnings
tests/unit/ops/test_column_similarity.py: 7 warnings
tests/unit/ops/test_ops.py: 74 warnings
tests/unit/workflow/test_workflow.py: 31 warnings
tests/unit/workflow/test_workflow_node.py: 1 warning
tests/unit/workflow/test_workflow_schemas.py: 1 warning
/var/jenkins_home/.local/lib/python3.8/site-packages/numba-0.54.0-py3.8-linux-x86_64.egg/numba/cuda/compiler.py:865: NumbaPerformanceWarning: �[1mGrid size (1) < 2 * SM count (112) will likely result in GPU under utilization due to low occupancy.�[0m
warn(NumbaPerformanceWarning(msg))

tests/unit/test_io.py: 96 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/init.py:38: DeprecationWarning: ColumnGroup is deprecated, use ColumnSelector instead
warnings.warn("ColumnGroup is deprecated, use ColumnSelector instead", DeprecationWarning)

tests/unit/test_io.py: 24 warnings
tests/unit/loader/test_torch_dataloader.py: 54 warnings
tests/unit/workflow/test_workflow_node.py: 1 warning
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/workflow/node.py:47: FutureWarning: The ["a", "b", "c"] >> ops.Operator syntax for creating a ColumnGroup has been deprecated in NVTabular 21.09 and will be removed in a future version.
warnings.warn(

tests/unit/test_io.py: 36 warnings
tests/unit/workflow/test_workflow.py: 44 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/workflow/workflow.py:89: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler will be used for execution. Please use the client argument to initialize a Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/test_io.py: 52 warnings
tests/unit/workflow/test_workflow.py: 35 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/io/dask.py:372: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler will be used for this write operation. Please use the client argument to initialize a Dataset and/or Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/test_io.py: 36 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/io/dataset.py:511: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler is being used for this shuffle operation. Please use the client argument to initialize a Dataset and/or Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/ops/test_ops.py::test_fill_missing[True-True-parquet]
tests/unit/ops/test_ops.py::test_fill_missing[True-False-parquet]
tests/unit/ops/test_ops.py::test_filter[parquet-0.1-True]
/var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg/pandas/core/indexing.py:1637: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
self._setitem_single_block(indexer, value, name)

tests/unit/ops/test_ops.py: 96 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/join_external.py:190: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[tmp] = _arange(len(df), like_df=df, dtype="int32")

tests/unit/ops/test_ops.py::test_join_external[True-True-left-host-pandas-parquet]
tests/unit/ops/test_ops.py::test_join_external[True-True-left-device-pandas-parquet]
tests/unit/ops/test_ops.py::test_join_external[True-True-inner-host-pandas-parquet]
tests/unit/ops/test_ops.py::test_join_external[True-True-inner-device-pandas-parquet]
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/join_external.py:171: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
_ext.drop_duplicates(ignore_index=True, inplace=True)

tests/unit/ops/test_ops.py::test_filter[parquet-0.1-True]
tests/unit/ops/test_ops.py::test_filter[parquet-0.1-False]
tests/unit/ops/test_ops.py::test_groupby_op[id-True]
tests/unit/ops/test_ops.py::test_groupby_op[id-False]
/var/jenkins_home/.local/lib/python3.8/site-packages/dask-2021.4.1-py3.8.egg/dask/dataframe/core.py:6610: UserWarning: Insufficient elements for head. 1 elements requested, only 0 elements available. Try passing larger npartitions to head.
warnings.warn(msg.format(n, len(r)))

tests/unit/workflow/test_cpu_workflow.py: 78 warnings
/var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg/pandas/core/frame.py:3191: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
self[k1] = value[k2]

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

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

examples/multi-gpu-movielens/torch_trainer.py 65 0 6 1 99% 32->36
nvtabular/init.py 18 0 0 0 100%
nvtabular/columns/init.py 2 0 0 0 100%
nvtabular/columns/schema.py 209 17 103 20 88% 46->62, 49, 51, 53-56, 58, 98->109, 104, 147, 174, 260->267, 262, 263->265, 275, 292->297, 295->297, 308, 332, 339, 348, 351, 356->355
nvtabular/columns/selector.py 74 1 34 0 99% 121
nvtabular/dispatch.py 273 55 132 22 78% 36-40, 45-47, 53-63, 70-71, 99-101, 106-109, 113-118, 125, 144, 155, 161, 166->168, 179, 202-205, 244, 247, 253, 269, 276, 307->312, 310, 313, 316->320, 353, 364-367, 394-397, 427, 431, 472, 496, 498, 505
nvtabular/framework_utils/init.py 0 0 0 0 100%
nvtabular/framework_utils/tensorflow/init.py 1 0 0 0 100%
nvtabular/framework_utils/tensorflow/feature_column_utils.py 134 78 90 15 39% 30, 99, 103, 114-130, 140, 143-158, 162, 166-167, 173-198, 207-217, 220-227, 229->233, 234, 239-279, 282
nvtabular/framework_utils/tensorflow/layers/init.py 4 0 0 0 100%
nvtabular/framework_utils/tensorflow/layers/embedding.py 153 12 85 6 91% 60, 68->49, 122, 179, 231-239, 335->343, 357->360, 363-364, 367
nvtabular/framework_utils/tensorflow/layers/interaction.py 47 25 20 1 43% 49, 74-103, 106-110, 113
nvtabular/framework_utils/tensorflow/layers/outer_product.py 30 24 10 0 15% 37-38, 41-60, 71-84, 87
nvtabular/framework_utils/tensorflow/tfrecords_to_parquet.py 58 58 30 0 0% 16-111
nvtabular/framework_utils/torch/init.py 0 0 0 0 100%
nvtabular/framework_utils/torch/layers/init.py 2 0 0 0 100%
nvtabular/framework_utils/torch/layers/embeddings.py 32 2 14 2 91% 50, 91
nvtabular/framework_utils/torch/models.py 45 1 28 4 93% 57->61, 87->89, 93->96, 103
nvtabular/framework_utils/torch/utils.py 75 5 30 5 90% 51->53, 64, 71->76, 75, 118-120
nvtabular/inference/init.py 0 0 0 0 100%
nvtabular/inference/triton/init.py 385 210 180 13 45% 82-86, 141-174, 195-218, 263-307, 338, 364-372, 380-387, 406, 428-444, 485-489, 527-537, 583-623, 629-645, 649-716, 723->726, 726->722, 762-772, 781, 791, 812, 818-844, 850-876, 883, 889->892, 893
nvtabular/inference/triton/benchmarking_tools.py 52 52 10 0 0% 2-103
nvtabular/inference/triton/data_conversions.py 87 3 58 4 95% 32-33, 84
nvtabular/inference/triton/model.py 176 176 98 0 0% 27-332
nvtabular/inference/triton/model_config_pb2.py 299 0 2 0 100%
nvtabular/inference/triton/model_pt.py 101 101 40 0 0% 27-220
nvtabular/io/init.py 4 0 0 0 100%
nvtabular/io/avro.py 88 88 30 0 0% 16-189
nvtabular/io/csv.py 57 6 20 5 86% 22-23, 99, 103->107, 108, 110, 124
nvtabular/io/dask.py 183 18 72 11 87% 111, 114, 150, 235-246, 398, 408, 425->428, 436, 440->442, 442->438, 447, 449
nvtabular/io/dataframe_engine.py 61 5 28 6 88% 19-20, 50, 69, 88->92, 92->97, 94->97, 97->116, 125
nvtabular/io/dataset.py 355 78 168 28 75% 46-47, 257, 259, 272, 281, 299-313, 436->510, 441-444, 450-457, 462-506, 510->519, 570-571, 572->576, 619, 741, 743, 745, 751, 755-757, 759, 819-820, 847, 854-855, 861, 867, 963-964, 1081-1086, 1092, 1104-1105, 1175, 1184
nvtabular/io/dataset_engine.py 24 1 0 0 96% 48
nvtabular/io/fsspec_utils.py 139 122 70 0 8% 26-27, 42-98, 103-135, 151-191, 213-263, 268-284, 288-290, 298-302, 307-317, 330-355
nvtabular/io/hugectr.py 45 2 24 2 91% 34, 74->97, 101
nvtabular/io/parquet.py 557 45 184 28 89% 34-35, 57, 77, 81->108, 90, 94->96, 103, 128, 138->143, 156, 158, 182->186, 189-195, 242-250, 265, 271, 289->291, 304, 323-333, 474-479, 517-522, 638->645, 706->711, 712-713, 833, 837, 841, 847, 879, 896, 900, 907->909, 1017->exit, 1027->1032, 1037->1047, 1052, 1074, 1097
nvtabular/io/shuffle.py 31 6 16 5 77% 42, 44-45, 49, 59, 63
nvtabular/io/writer.py 175 13 68 5 92% 24-25, 51, 79, 125, 128, 212, 221, 224, 267, 288-290
nvtabular/io/writer_factory.py 18 2 8 2 85% 35, 60
nvtabular/loader/init.py 0 0 0 0 100%
nvtabular/loader/backend.py 330 13 140 11 95% 128, 143-144, 242->244, 254-258, 304-305, 344->348, 345->344, 419, 423-424, 454, 559, 567
nvtabular/loader/tensorflow.py 163 22 52 7 86% 58, 66-69, 84, 98, 308, 344, 359-361, 390-392, 402-410, 413-416
nvtabular/loader/tf_utils.py 55 10 20 5 80% 29->32, 32->34, 39->41, 43, 50-51, 58-60, 66-70
nvtabular/loader/torch.py 81 13 16 2 78% 25-27, 30-36, 111, 149-150
nvtabular/ops/init.py 22 0 0 0 100%
nvtabular/ops/add_metadata.py 9 0 0 0 100%
nvtabular/ops/bucketize.py 37 10 18 3 69% 53-55, 59->exit, 62-65, 84-87, 94
nvtabular/ops/categorify.py 622 66 336 48 86% 246, 248, 265, 269, 277, 285, 287, 314, 333-334, 357, 366, 377->381, 385-392, 474-475, 500-501, 574->570, 596->598, 696, 714, 750, 828-829, 844-848, 849->813, 867, 875, 882->exit, 906, 909->912, 964, 969, 985->989, 996-999, 1010, 1014, 1016, 1023, 1028-1031, 1109, 1111, 1181->1204, 1187->1204, 1205-1210, 1247, 1266->1271, 1270, 1280->1277, 1285->1277, 1292, 1295, 1303-1313
nvtabular/ops/clip.py 18 2 6 3 79% 44, 52->54, 55
nvtabular/ops/column_similarity.py 118 25 38 5 74% 19-20, 78->exit, 108, 134, 198-199, 208-210, 218-234, 251->254, 255, 265
nvtabular/ops/data_stats.py 56 2 22 3 94% 91->93, 95, 97->87, 102
nvtabular/ops/difference_lag.py 31 1 8 1 95% 69->71, 94
nvtabular/ops/dropna.py 8 0 0 0 100%
nvtabular/ops/fill.py 91 12 36 3 82% 63-67, 93, 121, 147, 151, 162-165
nvtabular/ops/filter.py 20 1 6 1 92% 49
nvtabular/ops/groupby.py 119 3 70 4 96% 73, 84, 94->96, 106->111, 141
nvtabular/ops/hash_bucket.py 35 3 18 2 87% 72, 102, 108
nvtabular/ops/hashed_cross.py 36 4 15 3 86% 53, 66, 81, 91
nvtabular/ops/internal/init.py 3 0 0 0 100%
nvtabular/ops/internal/concat_columns.py 11 0 0 0 100%
nvtabular/ops/internal/identity.py 6 1 0 0 83% 42
nvtabular/ops/internal/subset_columns.py 13 1 0 0 92% 53
nvtabular/ops/join_external.py 89 7 36 6 90% 20-21, 113, 115, 117, 159, 176->178, 215
nvtabular/ops/join_groupby.py 101 7 36 4 92% 108, 115, 124, 131->130, 215-216, 219-220
nvtabular/ops/lambdaop.py 39 6 18 6 79% 59, 63, 77, 89, 94, 103
nvtabular/ops/list_slice.py 66 24 26 1 58% 21-22, 53-54, 104-118, 126-137
nvtabular/ops/logop.py 13 0 0 0 100%
nvtabular/ops/moments.py 65 0 20 0 100%
nvtabular/ops/normalize.py 81 10 14 1 86% 70, 78-79, 85, 118-119, 141-142, 146, 157
nvtabular/ops/operator.py 66 1 14 1 98% 111
nvtabular/ops/rename.py 41 3 22 3 90% 47, 88-90
nvtabular/ops/stat_operator.py 8 0 0 0 100%
nvtabular/ops/target_encoding.py 153 11 66 4 91% 167->171, 175->184, 232-233, 236-237, 249-255, 346->349, 362
nvtabular/tags.py 16 0 0 0 100%
nvtabular/tools/init.py 0 0 0 0 100%
nvtabular/tools/data_gen.py 236 1 62 1 99% 321
nvtabular/tools/dataset_inspector.py 50 7 18 1 79% 32-39
nvtabular/tools/inspector_script.py 46 46 0 0 0% 17-168
nvtabular/utils.py 102 43 46 8 52% 31-32, 36-37, 50, 61-62, 64-66, 69, 72, 78, 84, 90-126, 145, 149->153
nvtabular/worker.py 82 5 38 7 90% 24-25, 82->99, 91, 92->99, 99->102, 108, 110, 111->113
nvtabular/workflow/init.py 2 0 0 0 100%
nvtabular/workflow/node.py 240 18 116 10 89% 55, 93->98, 146, 248->252, 288, 302, 311, 329-334, 339, 388-389, 400->395, 453-458
nvtabular/workflow/workflow.py 221 15 112 7 93% 28-29, 47, 139, 195, 222-224, 332, 347-348, 366-367, 502, 514

TOTAL 7660 1599 3103 346 76%
Coverage XML written to file coverage.xml

Required test coverage of 70% reached. Total coverage: 76.36%
=========================== short test summary info ============================
SKIPPED [1] ../../../../../usr/local/lib/python3.8/dist-packages/dask_cudf/io/tests/test_s3.py:16: could not import 's3fs': No module named 's3fs'
SKIPPED [8] tests/unit/test_io.py:555: could not import 'uavro': No module named 'uavro'
SKIPPED [2] tests/unit/test_io.py:914: Dask>=2021.07.1 required for file aggregation
SKIPPED [1] tests/unit/loader/test_tf_dataloader.py:521: not working correctly in ci environment
========= 1514 passed, 12 skipped, 779 warnings in 2029.59s (0:33:49) ==========
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://github.com/gitapi/repos/NVIDIA/NVTabular/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[nvtabular_tests] $ /bin/bash /tmp/jenkins8170048837452017040.sh

@nvidia-merlin-bot
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Click to view CI Results
GitHub pull request #1119 of commit 596300c9de62e22882c63076f1151ce1b8995ade, no merge conflicts.
Running as SYSTEM
Setting status of 596300c9de62e22882c63076f1151ce1b8995ade to PENDING with url http://10.20.13.93:8080/job/nvtabular_tests/3506/ and message: 'Pending'
Using context: Jenkins Unit Test Run
Building in workspace /var/jenkins_home/workspace/nvtabular_tests
using credential nvidia-merlin-bot
Cloning the remote Git repository
Cloning repository https://github.com/NVIDIA/NVTabular.git
 > git init /var/jenkins_home/workspace/nvtabular_tests/nvtabular # timeout=10
Fetching upstream changes from https://github.com/NVIDIA/NVTabular.git
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA/NVTabular.git +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/NVIDIA/NVTabular.git # timeout=10
 > git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/NVIDIA/NVTabular.git # timeout=10
Fetching upstream changes from https://github.com/NVIDIA/NVTabular.git
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA/NVTabular.git +refs/pull/1119/*:refs/remotes/origin/pr/1119/* # timeout=10
 > git rev-parse 596300c9de62e22882c63076f1151ce1b8995ade^{commit} # timeout=10
Checking out Revision 596300c9de62e22882c63076f1151ce1b8995ade (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 596300c9de62e22882c63076f1151ce1b8995ade # timeout=10
Commit message: "clean up sample_dtypes optimization"
 > git rev-list --no-walk 099de7981d137ba7f314491f58321df3306bdf0c # timeout=10
[nvtabular_tests] $ /bin/bash /tmp/jenkins8527733315036654208.sh
Installing NVTabular
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: pip in /var/jenkins_home/.local/lib/python3.8/site-packages (21.2.4)
Requirement already satisfied: setuptools in /var/jenkins_home/.local/lib/python3.8/site-packages (58.0.4)
Requirement already satisfied: wheel in /var/jenkins_home/.local/lib/python3.8/site-packages (0.37.0)
Requirement already satisfied: pybind11 in /var/jenkins_home/.local/lib/python3.8/site-packages (2.7.1)
running develop
running egg_info
creating nvtabular.egg-info
writing nvtabular.egg-info/PKG-INFO
writing dependency_links to nvtabular.egg-info/dependency_links.txt
writing requirements to nvtabular.egg-info/requires.txt
writing top-level names to nvtabular.egg-info/top_level.txt
writing manifest file 'nvtabular.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
warning: no files found matching '*.h' under directory 'cpp'
warning: no files found matching '*.cu' under directory 'cpp'
warning: no files found matching '*.cuh' under directory 'cpp'
adding license file 'LICENSE'
writing manifest file 'nvtabular.egg-info/SOURCES.txt'
running build_ext
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/python3.8 -c flagcheck.cpp -o flagcheck.o -std=c++17
building 'nvtabular_cpp' extension
creating build
creating build/temp.linux-x86_64-3.8
creating build/temp.linux-x86_64-3.8/cpp
creating build/temp.linux-x86_64-3.8/cpp/nvtabular
creating build/temp.linux-x86_64-3.8/cpp/nvtabular/inference
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+99.g596300c -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/__init__.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/__init__.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+99.g596300c -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/__init__.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/__init__.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+99.g596300c -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/categorify.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/categorify.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+99.g596300c -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/fill.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/fill.o -std=c++17 -fvisibility=hidden -g0
creating build/lib.linux-x86_64-3.8
x86_64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.8/cpp/nvtabular/__init__.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/__init__.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/categorify.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/fill.o -o build/lib.linux-x86_64-3.8/nvtabular_cpp.cpython-38-x86_64-linux-gnu.so
copying build/lib.linux-x86_64-3.8/nvtabular_cpp.cpython-38-x86_64-linux-gnu.so -> 
Generating nvtabular/inference/triton/model_config_pb2.py from nvtabular/inference/triton/model_config.proto
Creating /var/jenkins_home/.local/lib/python3.8/site-packages/nvtabular.egg-link (link to .)
nvtabular 0.6.0+99.g596300c is already the active version in easy-install.pth

Installed /var/jenkins_home/workspace/nvtabular_tests/nvtabular
Processing dependencies for nvtabular==0.6.0+99.g596300c
Searching for protobuf==3.17.3
Best match: protobuf 3.17.3
Adding protobuf 3.17.3 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for tensorflow-metadata==1.2.0
Best match: tensorflow-metadata 1.2.0
Processing tensorflow_metadata-1.2.0-py3.8.egg
tensorflow-metadata 1.2.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tensorflow_metadata-1.2.0-py3.8.egg
Searching for pyarrow==4.0.1
Best match: pyarrow 4.0.1
Adding pyarrow 4.0.1 to easy-install.pth file
Installing plasma_store script to /var/jenkins_home/.local/bin

Using /usr/local/lib/python3.8/dist-packages
Searching for tqdm==4.61.2
Best match: tqdm 4.61.2
Processing tqdm-4.61.2-py3.8.egg
tqdm 4.61.2 is already the active version in easy-install.pth
Installing tqdm script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tqdm-4.61.2-py3.8.egg
Searching for numba==0.54.0
Best match: numba 0.54.0
Processing numba-0.54.0-py3.8-linux-x86_64.egg
numba 0.54.0 is already the active version in easy-install.pth
Installing pycc script to /var/jenkins_home/.local/bin
Installing numba script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/numba-0.54.0-py3.8-linux-x86_64.egg
Searching for pandas==1.2.5
Best match: pandas 1.2.5
Processing pandas-1.2.5-py3.8-linux-x86_64.egg
pandas 1.2.5 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg
Searching for distributed==2021.4.1
Best match: distributed 2021.4.1
Processing distributed-2021.4.1-py3.8.egg
distributed 2021.4.1 is already the active version in easy-install.pth
Installing dask-ssh script to /var/jenkins_home/.local/bin
Installing dask-scheduler script to /var/jenkins_home/.local/bin
Installing dask-worker script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/distributed-2021.4.1-py3.8.egg
Searching for dask==2021.4.1
Best match: dask 2021.4.1
Processing dask-2021.4.1-py3.8.egg
dask 2021.4.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/dask-2021.4.1-py3.8.egg
Searching for PyYAML==5.4.1
Best match: PyYAML 5.4.1
Processing PyYAML-5.4.1-py3.8-linux-x86_64.egg
PyYAML 5.4.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg
Searching for six==1.15.0
Best match: six 1.15.0
Adding six 1.15.0 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for googleapis-common-protos==1.53.0
Best match: googleapis-common-protos 1.53.0
Processing googleapis_common_protos-1.53.0-py3.8.egg
googleapis-common-protos 1.53.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/googleapis_common_protos-1.53.0-py3.8.egg
Searching for absl-py==0.12.0
Best match: absl-py 0.12.0
Processing absl_py-0.12.0-py3.8.egg
absl-py 0.12.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/absl_py-0.12.0-py3.8.egg
Searching for numpy==1.20.2
Best match: numpy 1.20.2
Adding numpy 1.20.2 to easy-install.pth file
Installing f2py script to /var/jenkins_home/.local/bin
Installing f2py3 script to /var/jenkins_home/.local/bin
Installing f2py3.8 script to /var/jenkins_home/.local/bin

Using /usr/local/lib/python3.8/dist-packages
Searching for setuptools==58.0.4
Best match: setuptools 58.0.4
Adding setuptools 58.0.4 to easy-install.pth file

Using /var/jenkins_home/.local/lib/python3.8/site-packages
Searching for llvmlite==0.37.0
Best match: llvmlite 0.37.0
Processing llvmlite-0.37.0-py3.8-linux-x86_64.egg
llvmlite 0.37.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/llvmlite-0.37.0-py3.8-linux-x86_64.egg
Searching for pytz==2021.1
Best match: pytz 2021.1
Adding pytz 2021.1 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for python-dateutil==2.8.2
Best match: python-dateutil 2.8.2
Adding python-dateutil 2.8.2 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for zict==2.0.0
Best match: zict 2.0.0
Processing zict-2.0.0-py3.8.egg
zict 2.0.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg
Searching for tornado==6.1
Best match: tornado 6.1
Processing tornado-6.1-py3.8-linux-x86_64.egg
tornado 6.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg
Searching for toolz==0.11.1
Best match: toolz 0.11.1
Processing toolz-0.11.1-py3.8.egg
toolz 0.11.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/toolz-0.11.1-py3.8.egg
Searching for tblib==1.7.0
Best match: tblib 1.7.0
Processing tblib-1.7.0-py3.8.egg
tblib 1.7.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg
Searching for sortedcontainers==2.4.0
Best match: sortedcontainers 2.4.0
Processing sortedcontainers-2.4.0-py3.8.egg
sortedcontainers 2.4.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg
Searching for psutil==5.8.0
Best match: psutil 5.8.0
Processing psutil-5.8.0-py3.8-linux-x86_64.egg
psutil 5.8.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg
Searching for msgpack==1.0.2
Best match: msgpack 1.0.2
Processing msgpack-1.0.2-py3.8-linux-x86_64.egg
msgpack 1.0.2 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/msgpack-1.0.2-py3.8-linux-x86_64.egg
Searching for cloudpickle==1.6.0
Best match: cloudpickle 1.6.0
Processing cloudpickle-1.6.0-py3.8.egg
cloudpickle 1.6.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/cloudpickle-1.6.0-py3.8.egg
Searching for click==8.0.1
Best match: click 8.0.1
Processing click-8.0.1-py3.8.egg
click 8.0.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/click-8.0.1-py3.8.egg
Searching for partd==1.2.0
Best match: partd 1.2.0
Processing partd-1.2.0-py3.8.egg
partd 1.2.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg
Searching for fsspec==2021.8.1
Best match: fsspec 2021.8.1
Processing fsspec-2021.8.1-py3.8.egg
fsspec 2021.8.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/fsspec-2021.8.1-py3.8.egg
Searching for HeapDict==1.0.1
Best match: HeapDict 1.0.1
Processing HeapDict-1.0.1-py3.8.egg
HeapDict 1.0.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg
Searching for locket==0.2.1
Best match: locket 0.2.1
Processing locket-0.2.1-py3.8.egg
locket 0.2.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg
Finished processing dependencies for nvtabular==0.6.0+99.g596300c
Running black --check
All done! ✨ 🍰 ✨
129 files would be left unchanged.
Running flake8
Running isort
Skipped 2 files
Running bandit
Running pylint
************* Module nvtabular.ops.categorify
nvtabular/ops/categorify.py:498:15: I1101: Module 'nvtabular_cpp' has no 'inference' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member)
************* Module nvtabular.ops.fill
nvtabular/ops/fill.py:67:15: I1101: Module 'nvtabular_cpp' has no 'inference' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member)


Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00)

Running flake8-nb
Building docs
make: Entering directory '/var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs'
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.6) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
make: Leaving directory '/var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs'
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-6.2.5, py-1.10.0, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/nvtabular_tests/nvtabular, configfile: pyproject.toml
plugins: cov-2.12.1, forked-1.3.0, xdist-2.3.0
collected 1525 items / 1 skipped / 1524 selected

tests/unit/test_dask_nvt.py ............................................ [ 2%]
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tests/unit/test_io.py .................................................. [ 10%]
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..........ssssssss.....................................................s [ 20%]
s [ 20%]
tests/unit/test_notebooks.py ...... [ 20%]
tests/unit/test_tf4rec.py . [ 20%]
tests/unit/test_tools.py ...................... [ 22%]
tests/unit/test_triton_inference.py .............................. [ 24%]
tests/unit/columns/test_column_schemas.py .............................. [ 26%]
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tests/unit/columns/test_column_selector.py .................... [ 30%]
tests/unit/framework_utils/test_tf_feature_columns.py . [ 30%]
tests/unit/framework_utils/test_tf_layers.py ........................... [ 32%]
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tests/unit/framework_utils/test_torch_layers.py . [ 35%]
tests/unit/loader/test_dataloader_backend.py .. [ 36%]
tests/unit/loader/test_tf_dataloader.py ................................ [ 38%]
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tests/unit/loader/test_torch_dataloader.py ............................. [ 42%]
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tests/unit/ops/test_column_similarity.py ........................ [ 48%]
tests/unit/ops/test_ops.py ............................................. [ 51%]
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tests/unit/ops/test_ops_schema.py ...................................... [ 80%]
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tests/unit/workflow/test_cpu_workflow.py ...... [ 91%]
tests/unit/workflow/test_workflow.py ................................... [ 93%]
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tests/unit/workflow/test_workflow_node.py ........... [ 98%]
tests/unit/workflow/test_workflow_ops.py .. [ 98%]
tests/unit/workflow/test_workflow_schemas.py ....................... [100%]

=============================== warnings summary ===============================
tests/unit/test_dask_nvt.py: 3 warnings
tests/unit/test_io.py: 24 warnings
tests/unit/test_tf4rec.py: 2 warnings
tests/unit/test_tools.py: 2 warnings
tests/unit/test_triton_inference.py: 5 warnings
tests/unit/loader/test_tf_dataloader.py: 50 warnings
tests/unit/loader/test_torch_dataloader.py: 16 warnings
tests/unit/ops/test_column_similarity.py: 7 warnings
tests/unit/ops/test_ops.py: 74 warnings
tests/unit/workflow/test_workflow.py: 31 warnings
tests/unit/workflow/test_workflow_node.py: 1 warning
tests/unit/workflow/test_workflow_schemas.py: 1 warning
/var/jenkins_home/.local/lib/python3.8/site-packages/numba-0.54.0-py3.8-linux-x86_64.egg/numba/cuda/compiler.py:865: NumbaPerformanceWarning: �[1mGrid size (1) < 2 * SM count (112) will likely result in GPU under utilization due to low occupancy.�[0m
warn(NumbaPerformanceWarning(msg))

tests/unit/test_io.py: 96 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/init.py:38: DeprecationWarning: ColumnGroup is deprecated, use ColumnSelector instead
warnings.warn("ColumnGroup is deprecated, use ColumnSelector instead", DeprecationWarning)

tests/unit/test_io.py: 24 warnings
tests/unit/loader/test_torch_dataloader.py: 54 warnings
tests/unit/workflow/test_workflow_node.py: 1 warning
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/workflow/node.py:47: FutureWarning: The ["a", "b", "c"] >> ops.Operator syntax for creating a ColumnGroup has been deprecated in NVTabular 21.09 and will be removed in a future version.
warnings.warn(

tests/unit/test_io.py: 36 warnings
tests/unit/workflow/test_workflow.py: 44 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/workflow/workflow.py:89: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler will be used for execution. Please use the client argument to initialize a Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/test_io.py: 52 warnings
tests/unit/workflow/test_workflow.py: 35 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/io/dask.py:372: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler will be used for this write operation. Please use the client argument to initialize a Dataset and/or Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/test_io.py: 36 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/io/dataset.py:514: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler is being used for this shuffle operation. Please use the client argument to initialize a Dataset and/or Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/ops/test_ops.py::test_fill_missing[True-True-parquet]
tests/unit/ops/test_ops.py::test_fill_missing[True-False-parquet]
tests/unit/ops/test_ops.py::test_filter[parquet-0.1-True]
/var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg/pandas/core/indexing.py:1637: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
self._setitem_single_block(indexer, value, name)

tests/unit/ops/test_ops.py: 96 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/join_external.py:190: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[tmp] = _arange(len(df), like_df=df, dtype="int32")

tests/unit/ops/test_ops.py::test_join_external[True-True-left-host-pandas-parquet]
tests/unit/ops/test_ops.py::test_join_external[True-True-left-device-pandas-parquet]
tests/unit/ops/test_ops.py::test_join_external[True-True-inner-host-pandas-parquet]
tests/unit/ops/test_ops.py::test_join_external[True-True-inner-device-pandas-parquet]
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/join_external.py:171: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
_ext.drop_duplicates(ignore_index=True, inplace=True)

tests/unit/ops/test_ops.py::test_filter[parquet-0.1-True]
tests/unit/ops/test_ops.py::test_filter[parquet-0.1-False]
tests/unit/ops/test_ops.py::test_groupby_op[id-True]
tests/unit/ops/test_ops.py::test_groupby_op[id-False]
/var/jenkins_home/.local/lib/python3.8/site-packages/dask-2021.4.1-py3.8.egg/dask/dataframe/core.py:6610: UserWarning: Insufficient elements for head. 1 elements requested, only 0 elements available. Try passing larger npartitions to head.
warnings.warn(msg.format(n, len(r)))

tests/unit/workflow/test_cpu_workflow.py: 78 warnings
/var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg/pandas/core/frame.py:3191: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
self[k1] = value[k2]

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

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

examples/multi-gpu-movielens/torch_trainer.py 65 0 6 1 99% 32->36
nvtabular/init.py 18 0 0 0 100%
nvtabular/columns/init.py 2 0 0 0 100%
nvtabular/columns/schema.py 209 17 103 20 88% 46->62, 49, 51, 53-56, 58, 98->109, 104, 147, 174, 260->267, 262, 263->265, 275, 292->297, 295->297, 308, 332, 339, 348, 351, 356->355
nvtabular/columns/selector.py 74 1 34 0 99% 121
nvtabular/dispatch.py 273 55 132 22 78% 36-40, 45-47, 53-63, 70-71, 99-101, 106-109, 113-118, 125, 144, 155, 161, 166->168, 179, 202-205, 244, 247, 253, 269, 276, 307->312, 310, 313, 316->320, 353, 364-367, 394-397, 427, 431, 472, 496, 498, 505
nvtabular/framework_utils/init.py 0 0 0 0 100%
nvtabular/framework_utils/tensorflow/init.py 1 0 0 0 100%
nvtabular/framework_utils/tensorflow/feature_column_utils.py 134 78 90 15 39% 30, 99, 103, 114-130, 140, 143-158, 162, 166-167, 173-198, 207-217, 220-227, 229->233, 234, 239-279, 282
nvtabular/framework_utils/tensorflow/layers/init.py 4 0 0 0 100%
nvtabular/framework_utils/tensorflow/layers/embedding.py 153 12 85 6 91% 60, 68->49, 122, 179, 231-239, 335->343, 357->360, 363-364, 367
nvtabular/framework_utils/tensorflow/layers/interaction.py 47 25 20 1 43% 49, 74-103, 106-110, 113
nvtabular/framework_utils/tensorflow/layers/outer_product.py 30 24 10 0 15% 37-38, 41-60, 71-84, 87
nvtabular/framework_utils/tensorflow/tfrecords_to_parquet.py 58 58 30 0 0% 16-111
nvtabular/framework_utils/torch/init.py 0 0 0 0 100%
nvtabular/framework_utils/torch/layers/init.py 2 0 0 0 100%
nvtabular/framework_utils/torch/layers/embeddings.py 32 2 14 2 91% 50, 91
nvtabular/framework_utils/torch/models.py 45 1 28 4 93% 57->61, 87->89, 93->96, 103
nvtabular/framework_utils/torch/utils.py 75 5 30 5 90% 51->53, 64, 71->76, 75, 118-120
nvtabular/inference/init.py 0 0 0 0 100%
nvtabular/inference/triton/init.py 385 210 180 13 45% 82-86, 141-174, 195-218, 263-307, 338, 364-372, 380-387, 406, 428-444, 485-489, 527-537, 583-623, 629-645, 649-716, 723->726, 726->722, 762-772, 781, 791, 812, 818-844, 850-876, 883, 889->892, 893
nvtabular/inference/triton/benchmarking_tools.py 52 52 10 0 0% 2-103
nvtabular/inference/triton/data_conversions.py 87 3 58 4 95% 32-33, 84
nvtabular/inference/triton/model.py 176 176 98 0 0% 27-332
nvtabular/inference/triton/model_config_pb2.py 299 0 2 0 100%
nvtabular/inference/triton/model_pt.py 101 101 40 0 0% 27-220
nvtabular/io/init.py 4 0 0 0 100%
nvtabular/io/avro.py 88 88 30 0 0% 16-189
nvtabular/io/csv.py 57 6 20 5 86% 22-23, 99, 103->107, 108, 110, 124
nvtabular/io/dask.py 183 18 72 11 87% 111, 114, 150, 235-246, 398, 408, 425->428, 436, 440->442, 442->438, 447, 449
nvtabular/io/dataframe_engine.py 61 5 28 6 88% 19-20, 50, 69, 88->92, 92->97, 94->97, 97->116, 125
nvtabular/io/dataset.py 354 78 166 28 75% 46-47, 260, 262, 275, 284, 302-316, 439->513, 444-447, 453-460, 465-509, 513->522, 573-574, 575->579, 622, 744, 746, 748, 754, 758-760, 762, 822-823, 850, 857-858, 864, 870, 966-967, 1084-1089, 1095, 1107-1108, 1173, 1182
nvtabular/io/dataset_engine.py 31 1 4 0 97% 48
nvtabular/io/fsspec_utils.py 127 113 70 0 7% 26-27, 42-98, 103-135, 151-191, 213-263, 268-284, 288-290, 306-331
nvtabular/io/hugectr.py 45 2 24 2 91% 34, 74->97, 101
nvtabular/io/parquet.py 569 46 188 29 89% 34-35, 56, 76, 80->105, 89, 100, 125, 135->140, 153, 155, 179->183, 186-192, 234-242, 262, 268, 286->288, 301, 320-330, 372->384, 376, 498-503, 541-546, 662->669, 730->735, 736-737, 857, 861, 865, 871, 903, 920, 924, 931->933, 1041->exit, 1051->1056, 1061->1071, 1076, 1098, 1125
nvtabular/io/shuffle.py 31 6 16 5 77% 42, 44-45, 49, 59, 63
nvtabular/io/writer.py 175 13 68 5 92% 24-25, 51, 79, 125, 128, 212, 221, 224, 267, 288-290
nvtabular/io/writer_factory.py 18 2 8 2 85% 35, 60
nvtabular/loader/init.py 0 0 0 0 100%
nvtabular/loader/backend.py 330 13 140 11 95% 128, 143-144, 242->244, 254-258, 304-305, 344->348, 345->344, 419, 423-424, 454, 559, 567
nvtabular/loader/tensorflow.py 163 22 52 7 86% 58, 66-69, 84, 98, 308, 344, 359-361, 390-392, 402-410, 413-416
nvtabular/loader/tf_utils.py 55 10 20 5 80% 29->32, 32->34, 39->41, 43, 50-51, 58-60, 66-70
nvtabular/loader/torch.py 81 13 16 2 78% 25-27, 30-36, 111, 149-150
nvtabular/ops/init.py 22 0 0 0 100%
nvtabular/ops/add_metadata.py 9 0 0 0 100%
nvtabular/ops/bucketize.py 37 10 18 3 69% 53-55, 59->exit, 62-65, 84-87, 94
nvtabular/ops/categorify.py 619 65 334 47 86% 245, 247, 264, 268, 276, 284, 286, 313, 332-333, 360, 371->375, 379-386, 468-469, 494-495, 568->564, 590->592, 690, 708, 744, 822-823, 838-842, 843->807, 861, 869, 876->exit, 900, 903->906, 958, 963, 979->983, 990-993, 1004, 1008, 1010, 1017, 1022-1025, 1103, 1105, 1175->1198, 1181->1198, 1199-1204, 1241, 1260->1265, 1264, 1274->1271, 1279->1271, 1286, 1289, 1297-1307
nvtabular/ops/clip.py 18 2 6 3 79% 44, 52->54, 55
nvtabular/ops/column_similarity.py 118 25 38 5 74% 19-20, 78->exit, 108, 134, 198-199, 208-210, 218-234, 251->254, 255, 265
nvtabular/ops/data_stats.py 56 2 22 3 94% 91->93, 95, 97->87, 102
nvtabular/ops/difference_lag.py 31 1 8 1 95% 69->71, 94
nvtabular/ops/dropna.py 8 0 0 0 100%
nvtabular/ops/fill.py 91 12 36 3 82% 63-67, 93, 121, 147, 151, 162-165
nvtabular/ops/filter.py 20 1 6 1 92% 49
nvtabular/ops/groupby.py 119 3 70 4 96% 73, 84, 94->96, 106->111, 141
nvtabular/ops/hash_bucket.py 35 3 18 2 87% 72, 102, 108
nvtabular/ops/hashed_cross.py 36 4 15 3 86% 53, 66, 81, 91
nvtabular/ops/internal/init.py 3 0 0 0 100%
nvtabular/ops/internal/concat_columns.py 11 0 0 0 100%
nvtabular/ops/internal/identity.py 6 1 0 0 83% 42
nvtabular/ops/internal/subset_columns.py 13 1 0 0 92% 53
nvtabular/ops/join_external.py 89 7 36 6 90% 20-21, 113, 115, 117, 159, 176->178, 215
nvtabular/ops/join_groupby.py 101 7 36 4 92% 108, 115, 124, 131->130, 215-216, 219-220
nvtabular/ops/lambdaop.py 39 6 18 6 79% 59, 63, 77, 89, 94, 103
nvtabular/ops/list_slice.py 66 24 26 1 58% 21-22, 53-54, 104-118, 126-137
nvtabular/ops/logop.py 13 0 0 0 100%
nvtabular/ops/moments.py 65 0 20 0 100%
nvtabular/ops/normalize.py 81 10 14 1 86% 70, 78-79, 85, 118-119, 141-142, 146, 157
nvtabular/ops/operator.py 66 1 14 1 98% 111
nvtabular/ops/rename.py 41 3 22 3 90% 47, 88-90
nvtabular/ops/stat_operator.py 8 0 0 0 100%
nvtabular/ops/target_encoding.py 153 11 66 4 91% 167->171, 175->184, 232-233, 236-237, 249-255, 346->349, 362
nvtabular/tags.py 16 0 0 0 100%
nvtabular/tools/init.py 0 0 0 0 100%
nvtabular/tools/data_gen.py 236 1 62 1 99% 321
nvtabular/tools/dataset_inspector.py 50 7 18 1 79% 32-39
nvtabular/tools/inspector_script.py 46 46 0 0 0% 17-168
nvtabular/utils.py 106 43 48 8 54% 31-32, 36-37, 50, 61-62, 64-66, 69, 72, 78, 84, 90-126, 145, 149->153
nvtabular/worker.py 82 5 38 7 90% 24-25, 82->99, 91, 92->99, 99->102, 108, 110, 111->113
nvtabular/workflow/init.py 2 0 0 0 100%
nvtabular/workflow/node.py 240 18 116 10 89% 55, 93->98, 146, 248->252, 288, 302, 311, 329-334, 339, 388-389, 400->395, 453-458
nvtabular/workflow/workflow.py 221 15 112 7 93% 28-29, 47, 139, 195, 222-224, 332, 347-348, 366-367, 502, 514

TOTAL 7667 1590 3109 346 76%
Coverage XML written to file coverage.xml

Required test coverage of 70% reached. Total coverage: 76.48%
=========================== short test summary info ============================
SKIPPED [1] ../../../../../usr/local/lib/python3.8/dist-packages/dask_cudf/io/tests/test_s3.py:16: could not import 's3fs': No module named 's3fs'
SKIPPED [8] tests/unit/test_io.py:555: could not import 'uavro': No module named 'uavro'
SKIPPED [2] tests/unit/test_io.py:914: Dask>=2021.07.1 required for file aggregation
SKIPPED [1] tests/unit/loader/test_tf_dataloader.py:521: not working correctly in ci environment
========= 1514 passed, 12 skipped, 779 warnings in 2068.64s (0:34:28) ==========
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://github.com/gitapi/repos/NVIDIA/NVTabular/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[nvtabular_tests] $ /bin/bash /tmp/jenkins9214307371655286179.sh

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GitHub pull request #1119 of commit 215cd9578abeac4edd75c12137546ff846101e3a, no merge conflicts.
Running as SYSTEM
Setting status of 215cd9578abeac4edd75c12137546ff846101e3a to PENDING with url http://10.20.13.93:8080/job/nvtabular_tests/3507/ and message: 'Pending'
Using context: Jenkins Unit Test Run
Building in workspace /var/jenkins_home/workspace/nvtabular_tests
using credential nvidia-merlin-bot
Cloning the remote Git repository
Cloning repository https://github.com/NVIDIA/NVTabular.git
 > git init /var/jenkins_home/workspace/nvtabular_tests/nvtabular # timeout=10
Fetching upstream changes from https://github.com/NVIDIA/NVTabular.git
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA/NVTabular.git +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/NVIDIA/NVTabular.git # timeout=10
 > git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/NVIDIA/NVTabular.git # timeout=10
Fetching upstream changes from https://github.com/NVIDIA/NVTabular.git
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA/NVTabular.git +refs/pull/1119/*:refs/remotes/origin/pr/1119/* # timeout=10
 > git rev-parse 215cd9578abeac4edd75c12137546ff846101e3a^{commit} # timeout=10
Checking out Revision 215cd9578abeac4edd75c12137546ff846101e3a (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 215cd9578abeac4edd75c12137546ff846101e3a # timeout=10
Commit message: "Merge branch 'main' into gcs-optimize"
 > git rev-list --no-walk 596300c9de62e22882c63076f1151ce1b8995ade # timeout=10
[nvtabular_tests] $ /bin/bash /tmp/jenkins7261212901168630669.sh
Installing NVTabular
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: pip in /var/jenkins_home/.local/lib/python3.8/site-packages (21.2.4)
Requirement already satisfied: setuptools in /var/jenkins_home/.local/lib/python3.8/site-packages (58.0.4)
Requirement already satisfied: wheel in /var/jenkins_home/.local/lib/python3.8/site-packages (0.37.0)
Requirement already satisfied: pybind11 in /var/jenkins_home/.local/lib/python3.8/site-packages (2.7.1)
running develop
running egg_info
creating nvtabular.egg-info
writing nvtabular.egg-info/PKG-INFO
writing dependency_links to nvtabular.egg-info/dependency_links.txt
writing requirements to nvtabular.egg-info/requires.txt
writing top-level names to nvtabular.egg-info/top_level.txt
writing manifest file 'nvtabular.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
warning: no files found matching '*.h' under directory 'cpp'
warning: no files found matching '*.cu' under directory 'cpp'
warning: no files found matching '*.cuh' under directory 'cpp'
adding license file 'LICENSE'
writing manifest file 'nvtabular.egg-info/SOURCES.txt'
running build_ext
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/python3.8 -c flagcheck.cpp -o flagcheck.o -std=c++17
building 'nvtabular_cpp' extension
creating build
creating build/temp.linux-x86_64-3.8
creating build/temp.linux-x86_64-3.8/cpp
creating build/temp.linux-x86_64-3.8/cpp/nvtabular
creating build/temp.linux-x86_64-3.8/cpp/nvtabular/inference
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+101.g215cd95 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/__init__.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/__init__.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+101.g215cd95 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/__init__.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/__init__.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+101.g215cd95 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/categorify.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/categorify.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+101.g215cd95 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/fill.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/fill.o -std=c++17 -fvisibility=hidden -g0
creating build/lib.linux-x86_64-3.8
x86_64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.8/cpp/nvtabular/__init__.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/__init__.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/categorify.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/fill.o -o build/lib.linux-x86_64-3.8/nvtabular_cpp.cpython-38-x86_64-linux-gnu.so
copying build/lib.linux-x86_64-3.8/nvtabular_cpp.cpython-38-x86_64-linux-gnu.so -> 
Generating nvtabular/inference/triton/model_config_pb2.py from nvtabular/inference/triton/model_config.proto
Creating /var/jenkins_home/.local/lib/python3.8/site-packages/nvtabular.egg-link (link to .)
nvtabular 0.6.0+101.g215cd95 is already the active version in easy-install.pth

Installed /var/jenkins_home/workspace/nvtabular_tests/nvtabular
Processing dependencies for nvtabular==0.6.0+101.g215cd95
Searching for protobuf==3.17.3
Best match: protobuf 3.17.3
Adding protobuf 3.17.3 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for tensorflow-metadata==1.2.0
Best match: tensorflow-metadata 1.2.0
Processing tensorflow_metadata-1.2.0-py3.8.egg
tensorflow-metadata 1.2.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tensorflow_metadata-1.2.0-py3.8.egg
Searching for pyarrow==4.0.1
Best match: pyarrow 4.0.1
Adding pyarrow 4.0.1 to easy-install.pth file
Installing plasma_store script to /var/jenkins_home/.local/bin

Using /usr/local/lib/python3.8/dist-packages
Searching for tqdm==4.61.2
Best match: tqdm 4.61.2
Processing tqdm-4.61.2-py3.8.egg
tqdm 4.61.2 is already the active version in easy-install.pth
Installing tqdm script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tqdm-4.61.2-py3.8.egg
Searching for numba==0.54.0
Best match: numba 0.54.0
Processing numba-0.54.0-py3.8-linux-x86_64.egg
numba 0.54.0 is already the active version in easy-install.pth
Installing pycc script to /var/jenkins_home/.local/bin
Installing numba script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/numba-0.54.0-py3.8-linux-x86_64.egg
Searching for pandas==1.2.5
Best match: pandas 1.2.5
Processing pandas-1.2.5-py3.8-linux-x86_64.egg
pandas 1.2.5 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg
Searching for distributed==2021.4.1
Best match: distributed 2021.4.1
Processing distributed-2021.4.1-py3.8.egg
distributed 2021.4.1 is already the active version in easy-install.pth
Installing dask-ssh script to /var/jenkins_home/.local/bin
Installing dask-scheduler script to /var/jenkins_home/.local/bin
Installing dask-worker script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/distributed-2021.4.1-py3.8.egg
Searching for dask==2021.4.1
Best match: dask 2021.4.1
Processing dask-2021.4.1-py3.8.egg
dask 2021.4.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/dask-2021.4.1-py3.8.egg
Searching for PyYAML==5.4.1
Best match: PyYAML 5.4.1
Processing PyYAML-5.4.1-py3.8-linux-x86_64.egg
PyYAML 5.4.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg
Searching for six==1.15.0
Best match: six 1.15.0
Adding six 1.15.0 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for googleapis-common-protos==1.53.0
Best match: googleapis-common-protos 1.53.0
Processing googleapis_common_protos-1.53.0-py3.8.egg
googleapis-common-protos 1.53.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/googleapis_common_protos-1.53.0-py3.8.egg
Searching for absl-py==0.12.0
Best match: absl-py 0.12.0
Processing absl_py-0.12.0-py3.8.egg
absl-py 0.12.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/absl_py-0.12.0-py3.8.egg
Searching for numpy==1.20.2
Best match: numpy 1.20.2
Adding numpy 1.20.2 to easy-install.pth file
Installing f2py script to /var/jenkins_home/.local/bin
Installing f2py3 script to /var/jenkins_home/.local/bin
Installing f2py3.8 script to /var/jenkins_home/.local/bin

Using /usr/local/lib/python3.8/dist-packages
Searching for setuptools==58.0.4
Best match: setuptools 58.0.4
Adding setuptools 58.0.4 to easy-install.pth file

Using /var/jenkins_home/.local/lib/python3.8/site-packages
Searching for llvmlite==0.37.0
Best match: llvmlite 0.37.0
Processing llvmlite-0.37.0-py3.8-linux-x86_64.egg
llvmlite 0.37.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/llvmlite-0.37.0-py3.8-linux-x86_64.egg
Searching for pytz==2021.1
Best match: pytz 2021.1
Adding pytz 2021.1 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for python-dateutil==2.8.2
Best match: python-dateutil 2.8.2
Adding python-dateutil 2.8.2 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for zict==2.0.0
Best match: zict 2.0.0
Processing zict-2.0.0-py3.8.egg
zict 2.0.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg
Searching for tornado==6.1
Best match: tornado 6.1
Processing tornado-6.1-py3.8-linux-x86_64.egg
tornado 6.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg
Searching for toolz==0.11.1
Best match: toolz 0.11.1
Processing toolz-0.11.1-py3.8.egg
toolz 0.11.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/toolz-0.11.1-py3.8.egg
Searching for tblib==1.7.0
Best match: tblib 1.7.0
Processing tblib-1.7.0-py3.8.egg
tblib 1.7.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg
Searching for sortedcontainers==2.4.0
Best match: sortedcontainers 2.4.0
Processing sortedcontainers-2.4.0-py3.8.egg
sortedcontainers 2.4.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg
Searching for psutil==5.8.0
Best match: psutil 5.8.0
Processing psutil-5.8.0-py3.8-linux-x86_64.egg
psutil 5.8.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg
Searching for msgpack==1.0.2
Best match: msgpack 1.0.2
Processing msgpack-1.0.2-py3.8-linux-x86_64.egg
msgpack 1.0.2 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/msgpack-1.0.2-py3.8-linux-x86_64.egg
Searching for cloudpickle==1.6.0
Best match: cloudpickle 1.6.0
Processing cloudpickle-1.6.0-py3.8.egg
cloudpickle 1.6.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/cloudpickle-1.6.0-py3.8.egg
Searching for click==8.0.1
Best match: click 8.0.1
Processing click-8.0.1-py3.8.egg
click 8.0.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/click-8.0.1-py3.8.egg
Searching for partd==1.2.0
Best match: partd 1.2.0
Processing partd-1.2.0-py3.8.egg
partd 1.2.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg
Searching for fsspec==2021.8.1
Best match: fsspec 2021.8.1
Processing fsspec-2021.8.1-py3.8.egg
fsspec 2021.8.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/fsspec-2021.8.1-py3.8.egg
Searching for HeapDict==1.0.1
Best match: HeapDict 1.0.1
Processing HeapDict-1.0.1-py3.8.egg
HeapDict 1.0.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg
Searching for locket==0.2.1
Best match: locket 0.2.1
Processing locket-0.2.1-py3.8.egg
locket 0.2.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg
Finished processing dependencies for nvtabular==0.6.0+101.g215cd95
Running black --check
All done! ✨ 🍰 ✨
129 files would be left unchanged.
Running flake8
Running isort
Skipped 2 files
Running bandit
Running pylint
************* Module nvtabular.ops.categorify
nvtabular/ops/categorify.py:498:15: I1101: Module 'nvtabular_cpp' has no 'inference' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member)
************* Module nvtabular.ops.fill
nvtabular/ops/fill.py:67:15: I1101: Module 'nvtabular_cpp' has no 'inference' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member)


Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00)

Running flake8-nb
Building docs
make: Entering directory '/var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs'
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.6) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
make: Leaving directory '/var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs'
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-6.2.5, py-1.10.0, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/nvtabular_tests/nvtabular, configfile: pyproject.toml
plugins: cov-2.12.1, forked-1.3.0, xdist-2.3.0
collected 1529 items / 1 skipped / 1528 selected

tests/unit/test_dask_nvt.py ............................................ [ 2%]
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tests/unit/test_io.py .................................................. [ 10%]
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..........ssssssss.....................................................s [ 20%]
s [ 20%]
tests/unit/test_notebooks.py ...... [ 20%]
tests/unit/test_tf4rec.py . [ 20%]
tests/unit/test_tools.py ...................... [ 22%]
tests/unit/test_triton_inference.py .............................. [ 24%]
tests/unit/columns/test_column_schemas.py .............................. [ 25%]
................................................... [ 29%]
tests/unit/columns/test_column_selector.py .................... [ 30%]
tests/unit/framework_utils/test_tf_feature_columns.py . [ 30%]
tests/unit/framework_utils/test_tf_layers.py ........................... [ 32%]
................................................... [ 35%]
tests/unit/framework_utils/test_torch_layers.py . [ 35%]
tests/unit/loader/test_dataloader_backend.py .. [ 35%]
tests/unit/loader/test_tf_dataloader.py ................................ [ 38%]
........................................s.. [ 40%]
tests/unit/loader/test_torch_dataloader.py ............................. [ 42%]
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tests/unit/ops/test_column_similarity.py ........................ [ 47%]
tests/unit/ops/test_ops.py ............................................. [ 50%]
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tests/unit/ops/test_ops_schema.py ...................................... [ 80%]
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tests/unit/workflow/test_cpu_workflow.py ...... [ 91%]
tests/unit/workflow/test_workflow.py ................................... [ 93%]
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tests/unit/workflow/test_workflow_node.py ........... [ 98%]
tests/unit/workflow/test_workflow_ops.py .. [ 98%]
tests/unit/workflow/test_workflow_schemas.py ....................... [100%]

=============================== warnings summary ===============================
tests/unit/test_dask_nvt.py: 3 warnings
tests/unit/test_io.py: 24 warnings
tests/unit/test_tf4rec.py: 2 warnings
tests/unit/test_tools.py: 2 warnings
tests/unit/test_triton_inference.py: 5 warnings
tests/unit/loader/test_tf_dataloader.py: 50 warnings
tests/unit/loader/test_torch_dataloader.py: 16 warnings
tests/unit/ops/test_column_similarity.py: 7 warnings
tests/unit/ops/test_ops.py: 74 warnings
tests/unit/workflow/test_workflow.py: 31 warnings
tests/unit/workflow/test_workflow_node.py: 1 warning
tests/unit/workflow/test_workflow_schemas.py: 1 warning
/var/jenkins_home/.local/lib/python3.8/site-packages/numba-0.54.0-py3.8-linux-x86_64.egg/numba/cuda/compiler.py:865: NumbaPerformanceWarning: �[1mGrid size (1) < 2 * SM count (112) will likely result in GPU under utilization due to low occupancy.�[0m
warn(NumbaPerformanceWarning(msg))

tests/unit/test_io.py: 96 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/init.py:38: DeprecationWarning: ColumnGroup is deprecated, use ColumnSelector instead
warnings.warn("ColumnGroup is deprecated, use ColumnSelector instead", DeprecationWarning)

tests/unit/test_io.py: 24 warnings
tests/unit/loader/test_torch_dataloader.py: 54 warnings
tests/unit/workflow/test_workflow_node.py: 1 warning
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/workflow/node.py:47: FutureWarning: The ["a", "b", "c"] >> ops.Operator syntax for creating a ColumnGroup has been deprecated in NVTabular 21.09 and will be removed in a future version.
warnings.warn(

tests/unit/test_io.py: 36 warnings
tests/unit/workflow/test_workflow.py: 44 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/workflow/workflow.py:89: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler will be used for execution. Please use the client argument to initialize a Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/test_io.py: 52 warnings
tests/unit/workflow/test_workflow.py: 35 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/io/dask.py:372: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler will be used for this write operation. Please use the client argument to initialize a Dataset and/or Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/test_io.py: 36 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/io/dataset.py:514: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler is being used for this shuffle operation. Please use the client argument to initialize a Dataset and/or Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-parquet-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-parquet-0.1]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-0.1]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-no-header-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-no-header-0.1]
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/fill.py:125: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[f"{col}_filled"] = df[col].isna()

tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-parquet-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-parquet-0.1]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-0.1]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-no-header-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-no-header-0.1]
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/fill.py:126: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[col] = df[col].fillna(self.medians[col])

tests/unit/ops/test_ops.py::test_fill_missing[True-True-parquet]
tests/unit/ops/test_ops.py::test_fill_missing[True-False-parquet]
tests/unit/ops/test_ops.py::test_filter[parquet-0.1-True]
/var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg/pandas/core/indexing.py:1637: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
self._setitem_single_block(indexer, value, name)

tests/unit/ops/test_ops.py::test_fill_missing[True-True-parquet]
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/fill.py:54: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[f"{col}_filled"] = df[col].isna()

tests/unit/ops/test_ops.py::test_fill_missing[True-True-parquet]
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/fill.py:55: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[col] = df[col].fillna(self.fill_val)

tests/unit/ops/test_ops.py: 96 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/join_external.py:190: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[tmp] = _arange(len(df), like_df=df, dtype="int32")

tests/unit/ops/test_ops.py::test_join_external[True-True-left-host-pandas-parquet]
tests/unit/ops/test_ops.py::test_join_external[True-True-left-device-pandas-parquet]
tests/unit/ops/test_ops.py::test_join_external[True-True-inner-host-pandas-parquet]
tests/unit/ops/test_ops.py::test_join_external[True-True-inner-device-pandas-parquet]
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/join_external.py:171: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
_ext.drop_duplicates(ignore_index=True, inplace=True)

tests/unit/ops/test_ops.py::test_filter[parquet-0.1-True]
tests/unit/ops/test_ops.py::test_filter[parquet-0.1-False]
tests/unit/ops/test_ops.py::test_groupby_op[id-True]
tests/unit/ops/test_ops.py::test_groupby_op[id-False]
/var/jenkins_home/.local/lib/python3.8/site-packages/dask-2021.4.1-py3.8.egg/dask/dataframe/core.py:6610: UserWarning: Insufficient elements for head. 1 elements requested, only 0 elements available. Try passing larger npartitions to head.
warnings.warn(msg.format(n, len(r)))

tests/unit/workflow/test_cpu_workflow.py: 78 warnings
/var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg/pandas/core/frame.py:3191: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
self[k1] = value[k2]

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

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

examples/multi-gpu-movielens/torch_trainer.py 65 0 6 1 99% 32->36
nvtabular/init.py 18 0 0 0 100%
nvtabular/columns/init.py 2 0 0 0 100%
nvtabular/columns/schema.py 209 17 103 20 88% 46->62, 49, 51, 53-56, 58, 98->109, 104, 147, 174, 260->267, 262, 263->265, 275, 292->297, 295->297, 308, 332, 339, 348, 351, 356->355
nvtabular/columns/selector.py 74 1 34 0 99% 121
nvtabular/dispatch.py 273 55 132 22 78% 36-40, 45-47, 53-63, 70-71, 99-101, 106-109, 113-118, 125, 144, 155, 161, 166->168, 179, 202-205, 244, 247, 253, 269, 276, 307->312, 310, 313, 316->320, 353, 364-367, 393-396, 426, 430, 471, 495, 497, 504
nvtabular/framework_utils/init.py 0 0 0 0 100%
nvtabular/framework_utils/tensorflow/init.py 1 0 0 0 100%
nvtabular/framework_utils/tensorflow/feature_column_utils.py 134 78 90 15 39% 30, 99, 103, 114-130, 140, 143-158, 162, 166-167, 173-198, 207-217, 220-227, 229->233, 234, 239-279, 282
nvtabular/framework_utils/tensorflow/layers/init.py 4 0 0 0 100%
nvtabular/framework_utils/tensorflow/layers/embedding.py 153 12 85 6 91% 60, 68->49, 122, 179, 231-239, 335->343, 357->360, 363-364, 367
nvtabular/framework_utils/tensorflow/layers/interaction.py 47 25 20 1 43% 49, 74-103, 106-110, 113
nvtabular/framework_utils/tensorflow/layers/outer_product.py 30 24 10 0 15% 37-38, 41-60, 71-84, 87
nvtabular/framework_utils/tensorflow/tfrecords_to_parquet.py 58 58 30 0 0% 16-111
nvtabular/framework_utils/torch/init.py 0 0 0 0 100%
nvtabular/framework_utils/torch/layers/init.py 2 0 0 0 100%
nvtabular/framework_utils/torch/layers/embeddings.py 32 2 14 2 91% 50, 91
nvtabular/framework_utils/torch/models.py 45 1 28 4 93% 57->61, 87->89, 93->96, 103
nvtabular/framework_utils/torch/utils.py 75 5 30 5 90% 51->53, 64, 71->76, 75, 118-120
nvtabular/inference/init.py 0 0 0 0 100%
nvtabular/inference/triton/init.py 385 210 180 13 45% 82-86, 141-174, 195-218, 263-307, 338, 364-372, 380-387, 406, 428-444, 485-489, 527-537, 583-623, 629-645, 649-716, 723->726, 726->722, 762-772, 781, 791, 812, 818-844, 850-876, 883, 889->892, 893
nvtabular/inference/triton/benchmarking_tools.py 52 52 10 0 0% 2-103
nvtabular/inference/triton/data_conversions.py 87 3 58 4 95% 32-33, 84
nvtabular/inference/triton/model.py 176 176 98 0 0% 27-332
nvtabular/inference/triton/model_config_pb2.py 299 0 2 0 100%
nvtabular/inference/triton/model_pt.py 101 101 40 0 0% 27-220
nvtabular/io/init.py 4 0 0 0 100%
nvtabular/io/avro.py 88 88 30 0 0% 16-189
nvtabular/io/csv.py 57 6 20 5 86% 22-23, 99, 103->107, 108, 110, 124
nvtabular/io/dask.py 183 18 72 11 87% 111, 114, 150, 235-246, 398, 408, 425->428, 436, 440->442, 442->438, 447, 449
nvtabular/io/dataframe_engine.py 61 5 28 6 88% 19-20, 50, 69, 88->92, 92->97, 94->97, 97->116, 125
nvtabular/io/dataset.py 354 78 166 28 75% 46-47, 260, 262, 275, 284, 302-316, 439->513, 444-447, 453-460, 465-509, 513->522, 573-574, 575->579, 622, 744, 746, 748, 754, 758-760, 762, 822-823, 850, 857-858, 864, 870, 966-967, 1084-1089, 1095, 1107-1108, 1173, 1182
nvtabular/io/dataset_engine.py 31 1 4 0 97% 48
nvtabular/io/fsspec_utils.py 127 113 70 0 7% 26-27, 42-98, 103-135, 151-191, 213-263, 268-284, 288-290, 306-331
nvtabular/io/hugectr.py 45 2 24 2 91% 34, 74->97, 101
nvtabular/io/parquet.py 569 46 188 29 89% 34-35, 56, 76, 80->105, 89, 100, 125, 135->140, 153, 155, 179->183, 186-192, 234-242, 262, 268, 286->288, 301, 320-330, 372->384, 376, 498-503, 541-546, 662->669, 730->735, 736-737, 857, 861, 865, 871, 903, 920, 924, 931->933, 1041->exit, 1051->1056, 1061->1071, 1076, 1098, 1125
nvtabular/io/shuffle.py 31 6 16 5 77% 42, 44-45, 49, 59, 63
nvtabular/io/writer.py 175 13 68 5 92% 24-25, 51, 79, 125, 128, 212, 221, 224, 267, 288-290
nvtabular/io/writer_factory.py 18 2 8 2 85% 35, 60
nvtabular/loader/init.py 0 0 0 0 100%
nvtabular/loader/backend.py 330 13 140 11 95% 128, 143-144, 242->244, 254-258, 304-305, 344->348, 345->344, 419, 423-424, 454, 559, 567
nvtabular/loader/tensorflow.py 163 22 52 7 86% 58, 66-69, 84, 98, 308, 344, 359-361, 390-392, 402-410, 413-416
nvtabular/loader/tf_utils.py 55 10 20 5 80% 29->32, 32->34, 39->41, 43, 50-51, 58-60, 66-70
nvtabular/loader/torch.py 81 13 16 2 78% 25-27, 30-36, 111, 149-150
nvtabular/ops/init.py 22 0 0 0 100%
nvtabular/ops/add_metadata.py 9 0 0 0 100%
nvtabular/ops/bucketize.py 37 10 18 3 69% 53-55, 59->exit, 62-65, 84-87, 94
nvtabular/ops/categorify.py 621 65 336 48 86% 245, 247, 264, 268, 276, 284, 286, 313, 332-333, 360, 371->375, 379-386, 468-469, 494-495, 568->564, 590->592, 690, 708, 744, 822-823, 838-842, 843->807, 861, 869, 876->exit, 900, 903->906, 958, 963, 985->989, 991->948, 997-1000, 1012, 1016, 1018, 1025, 1030-1033, 1111, 1113, 1183->1206, 1189->1206, 1207-1212, 1249, 1268->1273, 1272, 1282->1279, 1287->1279, 1294, 1297, 1305-1315
nvtabular/ops/clip.py 18 2 6 3 79% 44, 52->54, 55
nvtabular/ops/column_similarity.py 118 25 38 5 74% 19-20, 78->exit, 108, 134, 198-199, 208-210, 218-234, 251->254, 255, 265
nvtabular/ops/data_stats.py 56 2 22 3 94% 91->93, 95, 97->87, 102
nvtabular/ops/difference_lag.py 31 1 8 1 95% 69->71, 94
nvtabular/ops/dropna.py 8 0 0 0 100%
nvtabular/ops/fill.py 91 12 36 3 82% 63-67, 93, 121, 147, 151, 162-165
nvtabular/ops/filter.py 20 1 6 1 92% 49
nvtabular/ops/groupby.py 119 3 70 4 96% 73, 84, 94->96, 106->111, 141
nvtabular/ops/hash_bucket.py 35 3 18 2 87% 72, 102, 108
nvtabular/ops/hashed_cross.py 36 4 15 3 86% 53, 66, 81, 91
nvtabular/ops/internal/init.py 3 0 0 0 100%
nvtabular/ops/internal/concat_columns.py 11 0 0 0 100%
nvtabular/ops/internal/identity.py 6 1 0 0 83% 42
nvtabular/ops/internal/subset_columns.py 13 1 0 0 92% 53
nvtabular/ops/join_external.py 89 7 36 6 90% 20-21, 113, 115, 117, 159, 176->178, 215
nvtabular/ops/join_groupby.py 101 7 36 4 92% 108, 115, 124, 131->130, 215-216, 219-220
nvtabular/ops/lambdaop.py 39 6 18 6 79% 59, 63, 77, 89, 94, 103
nvtabular/ops/list_slice.py 66 24 26 1 58% 21-22, 53-54, 104-118, 126-137
nvtabular/ops/logop.py 13 0 0 0 100%
nvtabular/ops/moments.py 65 0 20 0 100%
nvtabular/ops/normalize.py 81 10 14 1 86% 70, 78-79, 85, 118-119, 141-142, 146, 157
nvtabular/ops/operator.py 66 1 14 1 98% 111
nvtabular/ops/rename.py 41 3 22 3 90% 47, 88-90
nvtabular/ops/stat_operator.py 8 0 0 0 100%
nvtabular/ops/target_encoding.py 153 11 66 4 91% 167->171, 175->184, 232-233, 236-237, 249-255, 346->349, 362
nvtabular/tags.py 16 0 0 0 100%
nvtabular/tools/init.py 0 0 0 0 100%
nvtabular/tools/data_gen.py 236 1 62 1 99% 321
nvtabular/tools/dataset_inspector.py 50 7 18 1 79% 32-39
nvtabular/tools/inspector_script.py 46 46 0 0 0% 17-168
nvtabular/utils.py 106 43 48 8 54% 31-32, 36-37, 50, 61-62, 64-66, 69, 72, 78, 84, 90-126, 145, 149->153
nvtabular/worker.py 82 5 38 7 90% 24-25, 82->99, 91, 92->99, 99->102, 108, 110, 111->113
nvtabular/workflow/init.py 2 0 0 0 100%
nvtabular/workflow/node.py 240 18 116 10 89% 55, 93->98, 146, 248->252, 288, 302, 311, 329-334, 339, 388-389, 400->395, 453-458
nvtabular/workflow/workflow.py 221 15 112 7 93% 28-29, 47, 139, 195, 222-224, 332, 347-348, 366-367, 502, 514

TOTAL 7669 1590 3111 347 76%
Coverage XML written to file coverage.xml

Required test coverage of 70% reached. Total coverage: 76.47%
=========================== short test summary info ============================
SKIPPED [1] ../../../../../usr/local/lib/python3.8/dist-packages/dask_cudf/io/tests/test_s3.py:16: could not import 's3fs': No module named 's3fs'
SKIPPED [8] tests/unit/test_io.py:555: could not import 'uavro': No module named 'uavro'
SKIPPED [2] tests/unit/test_io.py:914: Dask>=2021.07.1 required for file aggregation
SKIPPED [1] tests/unit/loader/test_tf_dataloader.py:521: not working correctly in ci environment
========= 1518 passed, 12 skipped, 793 warnings in 2096.74s (0:34:56) ==========
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://github.com/gitapi/repos/NVIDIA/NVTabular/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[nvtabular_tests] $ /bin/bash /tmp/jenkins4620729870117106201.sh

@nvidia-merlin-bot
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GitHub pull request #1119 of commit 015c9d1b59ba1d6ff668b3d2161937ccfd960f77, no merge conflicts.
Running as SYSTEM
Setting status of 015c9d1b59ba1d6ff668b3d2161937ccfd960f77 to PENDING with url http://10.20.13.93:8080/job/nvtabular_tests/3508/ and message: 'Pending'
Using context: Jenkins Unit Test Run
Building in workspace /var/jenkins_home/workspace/nvtabular_tests
using credential nvidia-merlin-bot
Cloning the remote Git repository
Cloning repository https://github.com/NVIDIA/NVTabular.git
 > git init /var/jenkins_home/workspace/nvtabular_tests/nvtabular # timeout=10
Fetching upstream changes from https://github.com/NVIDIA/NVTabular.git
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA/NVTabular.git +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/NVIDIA/NVTabular.git # timeout=10
 > git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/NVIDIA/NVTabular.git # timeout=10
Fetching upstream changes from https://github.com/NVIDIA/NVTabular.git
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA/NVTabular.git +refs/pull/1119/*:refs/remotes/origin/pr/1119/* # timeout=10
 > git rev-parse 015c9d1b59ba1d6ff668b3d2161937ccfd960f77^{commit} # timeout=10
Checking out Revision 015c9d1b59ba1d6ff668b3d2161937ccfd960f77 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 015c9d1b59ba1d6ff668b3d2161937ccfd960f77 # timeout=10
Commit message: "Update nvtabular/io/fsspec_utils.py"
 > git rev-list --no-walk 215cd9578abeac4edd75c12137546ff846101e3a # timeout=10
[nvtabular_tests] $ /bin/bash /tmp/jenkins2288582892536827549.sh
Installing NVTabular
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: pip in /var/jenkins_home/.local/lib/python3.8/site-packages (21.2.4)
Requirement already satisfied: setuptools in /var/jenkins_home/.local/lib/python3.8/site-packages (58.0.4)
Requirement already satisfied: wheel in /var/jenkins_home/.local/lib/python3.8/site-packages (0.37.0)
Requirement already satisfied: pybind11 in /var/jenkins_home/.local/lib/python3.8/site-packages (2.7.1)
running develop
running egg_info
creating nvtabular.egg-info
writing nvtabular.egg-info/PKG-INFO
writing dependency_links to nvtabular.egg-info/dependency_links.txt
writing requirements to nvtabular.egg-info/requires.txt
writing top-level names to nvtabular.egg-info/top_level.txt
writing manifest file 'nvtabular.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
warning: no files found matching '*.h' under directory 'cpp'
warning: no files found matching '*.cu' under directory 'cpp'
warning: no files found matching '*.cuh' under directory 'cpp'
adding license file 'LICENSE'
writing manifest file 'nvtabular.egg-info/SOURCES.txt'
running build_ext
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/python3.8 -c flagcheck.cpp -o flagcheck.o -std=c++17
building 'nvtabular_cpp' extension
creating build
creating build/temp.linux-x86_64-3.8
creating build/temp.linux-x86_64-3.8/cpp
creating build/temp.linux-x86_64-3.8/cpp/nvtabular
creating build/temp.linux-x86_64-3.8/cpp/nvtabular/inference
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+102.g015c9d1 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/__init__.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/__init__.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+102.g015c9d1 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/__init__.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/__init__.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+102.g015c9d1 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/categorify.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/categorify.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+102.g015c9d1 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/fill.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/fill.o -std=c++17 -fvisibility=hidden -g0
creating build/lib.linux-x86_64-3.8
x86_64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.8/cpp/nvtabular/__init__.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/__init__.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/categorify.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/fill.o -o build/lib.linux-x86_64-3.8/nvtabular_cpp.cpython-38-x86_64-linux-gnu.so
copying build/lib.linux-x86_64-3.8/nvtabular_cpp.cpython-38-x86_64-linux-gnu.so -> 
Generating nvtabular/inference/triton/model_config_pb2.py from nvtabular/inference/triton/model_config.proto
Creating /var/jenkins_home/.local/lib/python3.8/site-packages/nvtabular.egg-link (link to .)
nvtabular 0.6.0+102.g015c9d1 is already the active version in easy-install.pth

Installed /var/jenkins_home/workspace/nvtabular_tests/nvtabular
Processing dependencies for nvtabular==0.6.0+102.g015c9d1
Searching for protobuf==3.17.3
Best match: protobuf 3.17.3
Adding protobuf 3.17.3 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for tensorflow-metadata==1.2.0
Best match: tensorflow-metadata 1.2.0
Processing tensorflow_metadata-1.2.0-py3.8.egg
tensorflow-metadata 1.2.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tensorflow_metadata-1.2.0-py3.8.egg
Searching for pyarrow==4.0.1
Best match: pyarrow 4.0.1
Adding pyarrow 4.0.1 to easy-install.pth file
Installing plasma_store script to /var/jenkins_home/.local/bin

Using /usr/local/lib/python3.8/dist-packages
Searching for tqdm==4.61.2
Best match: tqdm 4.61.2
Processing tqdm-4.61.2-py3.8.egg
tqdm 4.61.2 is already the active version in easy-install.pth
Installing tqdm script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tqdm-4.61.2-py3.8.egg
Searching for numba==0.54.0
Best match: numba 0.54.0
Processing numba-0.54.0-py3.8-linux-x86_64.egg
numba 0.54.0 is already the active version in easy-install.pth
Installing pycc script to /var/jenkins_home/.local/bin
Installing numba script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/numba-0.54.0-py3.8-linux-x86_64.egg
Searching for pandas==1.2.5
Best match: pandas 1.2.5
Processing pandas-1.2.5-py3.8-linux-x86_64.egg
pandas 1.2.5 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg
Searching for distributed==2021.4.1
Best match: distributed 2021.4.1
Processing distributed-2021.4.1-py3.8.egg
distributed 2021.4.1 is already the active version in easy-install.pth
Installing dask-ssh script to /var/jenkins_home/.local/bin
Installing dask-scheduler script to /var/jenkins_home/.local/bin
Installing dask-worker script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/distributed-2021.4.1-py3.8.egg
Searching for dask==2021.4.1
Best match: dask 2021.4.1
Processing dask-2021.4.1-py3.8.egg
dask 2021.4.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/dask-2021.4.1-py3.8.egg
Searching for PyYAML==5.4.1
Best match: PyYAML 5.4.1
Processing PyYAML-5.4.1-py3.8-linux-x86_64.egg
PyYAML 5.4.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg
Searching for six==1.15.0
Best match: six 1.15.0
Adding six 1.15.0 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for googleapis-common-protos==1.53.0
Best match: googleapis-common-protos 1.53.0
Processing googleapis_common_protos-1.53.0-py3.8.egg
googleapis-common-protos 1.53.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/googleapis_common_protos-1.53.0-py3.8.egg
Searching for absl-py==0.12.0
Best match: absl-py 0.12.0
Processing absl_py-0.12.0-py3.8.egg
absl-py 0.12.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/absl_py-0.12.0-py3.8.egg
Searching for numpy==1.20.2
Best match: numpy 1.20.2
Adding numpy 1.20.2 to easy-install.pth file
Installing f2py script to /var/jenkins_home/.local/bin
Installing f2py3 script to /var/jenkins_home/.local/bin
Installing f2py3.8 script to /var/jenkins_home/.local/bin

Using /usr/local/lib/python3.8/dist-packages
Searching for setuptools==58.0.4
Best match: setuptools 58.0.4
Adding setuptools 58.0.4 to easy-install.pth file

Using /var/jenkins_home/.local/lib/python3.8/site-packages
Searching for llvmlite==0.37.0
Best match: llvmlite 0.37.0
Processing llvmlite-0.37.0-py3.8-linux-x86_64.egg
llvmlite 0.37.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/llvmlite-0.37.0-py3.8-linux-x86_64.egg
Searching for pytz==2021.1
Best match: pytz 2021.1
Adding pytz 2021.1 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for python-dateutil==2.8.2
Best match: python-dateutil 2.8.2
Adding python-dateutil 2.8.2 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for zict==2.0.0
Best match: zict 2.0.0
Processing zict-2.0.0-py3.8.egg
zict 2.0.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg
Searching for tornado==6.1
Best match: tornado 6.1
Processing tornado-6.1-py3.8-linux-x86_64.egg
tornado 6.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg
Searching for toolz==0.11.1
Best match: toolz 0.11.1
Processing toolz-0.11.1-py3.8.egg
toolz 0.11.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/toolz-0.11.1-py3.8.egg
Searching for tblib==1.7.0
Best match: tblib 1.7.0
Processing tblib-1.7.0-py3.8.egg
tblib 1.7.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg
Searching for sortedcontainers==2.4.0
Best match: sortedcontainers 2.4.0
Processing sortedcontainers-2.4.0-py3.8.egg
sortedcontainers 2.4.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg
Searching for psutil==5.8.0
Best match: psutil 5.8.0
Processing psutil-5.8.0-py3.8-linux-x86_64.egg
psutil 5.8.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg
Searching for msgpack==1.0.2
Best match: msgpack 1.0.2
Processing msgpack-1.0.2-py3.8-linux-x86_64.egg
msgpack 1.0.2 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/msgpack-1.0.2-py3.8-linux-x86_64.egg
Searching for cloudpickle==1.6.0
Best match: cloudpickle 1.6.0
Processing cloudpickle-1.6.0-py3.8.egg
cloudpickle 1.6.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/cloudpickle-1.6.0-py3.8.egg
Searching for click==8.0.1
Best match: click 8.0.1
Processing click-8.0.1-py3.8.egg
click 8.0.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/click-8.0.1-py3.8.egg
Searching for partd==1.2.0
Best match: partd 1.2.0
Processing partd-1.2.0-py3.8.egg
partd 1.2.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg
Searching for fsspec==2021.8.1
Best match: fsspec 2021.8.1
Processing fsspec-2021.8.1-py3.8.egg
fsspec 2021.8.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/fsspec-2021.8.1-py3.8.egg
Searching for HeapDict==1.0.1
Best match: HeapDict 1.0.1
Processing HeapDict-1.0.1-py3.8.egg
HeapDict 1.0.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg
Searching for locket==0.2.1
Best match: locket 0.2.1
Processing locket-0.2.1-py3.8.egg
locket 0.2.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg
Finished processing dependencies for nvtabular==0.6.0+102.g015c9d1
Running black --check
All done! ✨ 🍰 ✨
129 files would be left unchanged.
Running flake8
Running isort
Skipped 2 files
Running bandit
Running pylint
************* Module nvtabular.ops.categorify
nvtabular/ops/categorify.py:498:15: I1101: Module 'nvtabular_cpp' has no 'inference' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member)
************* Module nvtabular.ops.fill
nvtabular/ops/fill.py:67:15: I1101: Module 'nvtabular_cpp' has no 'inference' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member)


Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00)

Running flake8-nb
Building docs
make: Entering directory '/var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs'
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.6) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
make: Leaving directory '/var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs'
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-6.2.5, py-1.10.0, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/nvtabular_tests/nvtabular, configfile: pyproject.toml
plugins: cov-2.12.1, forked-1.3.0, xdist-2.3.0
collected 1529 items / 1 skipped / 1528 selected

tests/unit/test_dask_nvt.py ............................................ [ 2%]
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tests/unit/test_io.py .................................................. [ 10%]
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..........ssssssss.....................................................s [ 20%]
s [ 20%]
tests/unit/test_notebooks.py ...... [ 20%]
tests/unit/test_tf4rec.py . [ 20%]
tests/unit/test_tools.py ...................... [ 22%]
tests/unit/test_triton_inference.py .............................. [ 24%]
tests/unit/columns/test_column_schemas.py .............................. [ 25%]
................................................... [ 29%]
tests/unit/columns/test_column_selector.py .................... [ 30%]
tests/unit/framework_utils/test_tf_feature_columns.py . [ 30%]
tests/unit/framework_utils/test_tf_layers.py ........................... [ 32%]
................................................... [ 35%]
tests/unit/framework_utils/test_torch_layers.py . [ 35%]
tests/unit/loader/test_dataloader_backend.py .. [ 35%]
tests/unit/loader/test_tf_dataloader.py ................................ [ 38%]
........................................s.. [ 40%]
tests/unit/loader/test_torch_dataloader.py ............................. [ 42%]
....................................................... [ 46%]
tests/unit/ops/test_column_similarity.py ........................ [ 47%]
tests/unit/ops/test_ops.py ............................................. [ 50%]
........................................................................ [ 55%]
........................................................................ [ 60%]
........................................................................ [ 65%]
........................................................................ [ 69%]
........................................................................ [ 74%]
................................................ [ 77%]
tests/unit/ops/test_ops_schema.py ...................................... [ 80%]
........................................................................ [ 84%]
........................................................................ [ 89%]
.......................... [ 91%]
tests/unit/workflow/test_cpu_workflow.py ...... [ 91%]
tests/unit/workflow/test_workflow.py ................................... [ 93%]
.......................................................... [ 97%]
tests/unit/workflow/test_workflow_node.py ........... [ 98%]
tests/unit/workflow/test_workflow_ops.py .. [ 98%]
tests/unit/workflow/test_workflow_schemas.py ....................... [100%]

=============================== warnings summary ===============================
tests/unit/test_dask_nvt.py: 3 warnings
tests/unit/test_io.py: 24 warnings
tests/unit/test_tf4rec.py: 2 warnings
tests/unit/test_tools.py: 2 warnings
tests/unit/test_triton_inference.py: 5 warnings
tests/unit/loader/test_tf_dataloader.py: 50 warnings
tests/unit/loader/test_torch_dataloader.py: 16 warnings
tests/unit/ops/test_column_similarity.py: 7 warnings
tests/unit/ops/test_ops.py: 74 warnings
tests/unit/workflow/test_workflow.py: 31 warnings
tests/unit/workflow/test_workflow_node.py: 1 warning
tests/unit/workflow/test_workflow_schemas.py: 1 warning
/var/jenkins_home/.local/lib/python3.8/site-packages/numba-0.54.0-py3.8-linux-x86_64.egg/numba/cuda/compiler.py:865: NumbaPerformanceWarning: �[1mGrid size (1) < 2 * SM count (112) will likely result in GPU under utilization due to low occupancy.�[0m
warn(NumbaPerformanceWarning(msg))

tests/unit/test_io.py: 96 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/init.py:38: DeprecationWarning: ColumnGroup is deprecated, use ColumnSelector instead
warnings.warn("ColumnGroup is deprecated, use ColumnSelector instead", DeprecationWarning)

tests/unit/test_io.py: 24 warnings
tests/unit/loader/test_torch_dataloader.py: 54 warnings
tests/unit/workflow/test_workflow_node.py: 1 warning
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/workflow/node.py:47: FutureWarning: The ["a", "b", "c"] >> ops.Operator syntax for creating a ColumnGroup has been deprecated in NVTabular 21.09 and will be removed in a future version.
warnings.warn(

tests/unit/test_io.py: 36 warnings
tests/unit/workflow/test_workflow.py: 44 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/workflow/workflow.py:89: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler will be used for execution. Please use the client argument to initialize a Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/test_io.py: 52 warnings
tests/unit/workflow/test_workflow.py: 35 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/io/dask.py:372: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler will be used for this write operation. Please use the client argument to initialize a Dataset and/or Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/test_io.py: 36 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/io/dataset.py:514: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler is being used for this shuffle operation. Please use the client argument to initialize a Dataset and/or Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/ops/test_column_similarity.py: 12 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/column_similarity.py:109: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[name] = similarities

tests/unit/ops/test_ops.py::test_fill_missing[True-True-parquet]
tests/unit/ops/test_ops.py::test_fill_missing[True-False-parquet]
tests/unit/ops/test_ops.py::test_filter[parquet-0.1-True]
/var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg/pandas/core/indexing.py:1637: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
self._setitem_single_block(indexer, value, name)

tests/unit/ops/test_ops.py: 96 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/join_external.py:190: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[tmp] = _arange(len(df), like_df=df, dtype="int32")

tests/unit/ops/test_ops.py::test_join_external[True-True-left-host-pandas-parquet]
tests/unit/ops/test_ops.py::test_join_external[True-True-left-device-pandas-parquet]
tests/unit/ops/test_ops.py::test_join_external[True-True-inner-host-pandas-parquet]
tests/unit/ops/test_ops.py::test_join_external[True-True-inner-device-pandas-parquet]
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/join_external.py:171: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
_ext.drop_duplicates(ignore_index=True, inplace=True)

tests/unit/ops/test_ops.py::test_filter[parquet-0.1-True]
tests/unit/ops/test_ops.py::test_filter[parquet-0.1-False]
tests/unit/ops/test_ops.py::test_groupby_op[id-True]
tests/unit/ops/test_ops.py::test_groupby_op[id-False]
/var/jenkins_home/.local/lib/python3.8/site-packages/dask-2021.4.1-py3.8.egg/dask/dataframe/core.py:6610: UserWarning: Insufficient elements for head. 1 elements requested, only 0 elements available. Try passing larger npartitions to head.
warnings.warn(msg.format(n, len(r)))

tests/unit/workflow/test_cpu_workflow.py: 78 warnings
/var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg/pandas/core/frame.py:3191: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
self[k1] = value[k2]

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

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

examples/multi-gpu-movielens/torch_trainer.py 65 0 6 1 99% 32->36
nvtabular/init.py 18 0 0 0 100%
nvtabular/columns/init.py 2 0 0 0 100%
nvtabular/columns/schema.py 209 17 103 20 88% 46->62, 49, 51, 53-56, 58, 98->109, 104, 147, 174, 260->267, 262, 263->265, 275, 292->297, 295->297, 308, 332, 339, 348, 351, 356->355
nvtabular/columns/selector.py 74 1 34 0 99% 121
nvtabular/dispatch.py 273 55 132 22 78% 36-40, 45-47, 53-63, 70-71, 99-101, 106-109, 113-118, 125, 144, 155, 161, 166->168, 179, 202-205, 244, 247, 253, 269, 276, 307->312, 310, 313, 316->320, 353, 364-367, 393-396, 426, 430, 471, 495, 497, 504
nvtabular/framework_utils/init.py 0 0 0 0 100%
nvtabular/framework_utils/tensorflow/init.py 1 0 0 0 100%
nvtabular/framework_utils/tensorflow/feature_column_utils.py 134 78 90 15 39% 30, 99, 103, 114-130, 140, 143-158, 162, 166-167, 173-198, 207-217, 220-227, 229->233, 234, 239-279, 282
nvtabular/framework_utils/tensorflow/layers/init.py 4 0 0 0 100%
nvtabular/framework_utils/tensorflow/layers/embedding.py 153 12 85 6 91% 60, 68->49, 122, 179, 231-239, 335->343, 357->360, 363-364, 367
nvtabular/framework_utils/tensorflow/layers/interaction.py 47 25 20 1 43% 49, 74-103, 106-110, 113
nvtabular/framework_utils/tensorflow/layers/outer_product.py 30 24 10 0 15% 37-38, 41-60, 71-84, 87
nvtabular/framework_utils/tensorflow/tfrecords_to_parquet.py 58 58 30 0 0% 16-111
nvtabular/framework_utils/torch/init.py 0 0 0 0 100%
nvtabular/framework_utils/torch/layers/init.py 2 0 0 0 100%
nvtabular/framework_utils/torch/layers/embeddings.py 32 2 14 2 91% 50, 91
nvtabular/framework_utils/torch/models.py 45 1 28 4 93% 57->61, 87->89, 93->96, 103
nvtabular/framework_utils/torch/utils.py 75 5 30 5 90% 51->53, 64, 71->76, 75, 118-120
nvtabular/inference/init.py 0 0 0 0 100%
nvtabular/inference/triton/init.py 385 210 180 13 45% 82-86, 141-174, 195-218, 263-307, 338, 364-372, 380-387, 406, 428-444, 485-489, 527-537, 583-623, 629-645, 649-716, 723->726, 726->722, 762-772, 781, 791, 812, 818-844, 850-876, 883, 889->892, 893
nvtabular/inference/triton/benchmarking_tools.py 52 52 10 0 0% 2-103
nvtabular/inference/triton/data_conversions.py 87 3 58 4 95% 32-33, 84
nvtabular/inference/triton/model.py 176 176 98 0 0% 27-332
nvtabular/inference/triton/model_config_pb2.py 299 0 2 0 100%
nvtabular/inference/triton/model_pt.py 101 101 40 0 0% 27-220
nvtabular/io/init.py 4 0 0 0 100%
nvtabular/io/avro.py 88 88 30 0 0% 16-189
nvtabular/io/csv.py 57 6 20 5 86% 22-23, 99, 103->107, 108, 110, 124
nvtabular/io/dask.py 183 18 72 11 87% 111, 114, 150, 235-246, 398, 408, 425->428, 436, 440->442, 442->438, 447, 449
nvtabular/io/dataframe_engine.py 61 5 28 6 88% 19-20, 50, 69, 88->92, 92->97, 94->97, 97->116, 125
nvtabular/io/dataset.py 354 78 166 28 75% 46-47, 260, 262, 275, 284, 302-316, 439->513, 444-447, 453-460, 465-509, 513->522, 573-574, 575->579, 622, 744, 746, 748, 754, 758-760, 762, 822-823, 850, 857-858, 864, 870, 966-967, 1084-1089, 1095, 1107-1108, 1173, 1182
nvtabular/io/dataset_engine.py 31 1 4 0 97% 48
nvtabular/io/fsspec_utils.py 117 103 64 0 8% 26-27, 42-98, 103-135, 151-191, 213-263, 268-284, 288-290, 304-315
nvtabular/io/hugectr.py 45 2 24 2 91% 34, 74->97, 101
nvtabular/io/parquet.py 569 46 188 29 89% 34-35, 56, 76, 80->105, 89, 100, 125, 135->140, 153, 155, 179->183, 186-192, 234-242, 262, 268, 286->288, 301, 320-330, 372->384, 376, 498-503, 541-546, 662->669, 730->735, 736-737, 857, 861, 865, 871, 903, 920, 924, 931->933, 1041->exit, 1051->1056, 1061->1071, 1076, 1098, 1125
nvtabular/io/shuffle.py 31 6 16 5 77% 42, 44-45, 49, 59, 63
nvtabular/io/writer.py 175 13 68 5 92% 24-25, 51, 79, 125, 128, 212, 221, 224, 267, 288-290
nvtabular/io/writer_factory.py 18 2 8 2 85% 35, 60
nvtabular/loader/init.py 0 0 0 0 100%
nvtabular/loader/backend.py 330 13 140 11 95% 128, 143-144, 242->244, 254-258, 304-305, 344->348, 345->344, 419, 423-424, 454, 559, 567
nvtabular/loader/tensorflow.py 163 22 52 7 86% 58, 66-69, 84, 98, 308, 344, 359-361, 390-392, 402-410, 413-416
nvtabular/loader/tf_utils.py 55 10 20 5 80% 29->32, 32->34, 39->41, 43, 50-51, 58-60, 66-70
nvtabular/loader/torch.py 81 13 16 2 78% 25-27, 30-36, 111, 149-150
nvtabular/ops/init.py 22 0 0 0 100%
nvtabular/ops/add_metadata.py 9 0 0 0 100%
nvtabular/ops/bucketize.py 37 10 18 3 69% 53-55, 59->exit, 62-65, 84-87, 94
nvtabular/ops/categorify.py 621 65 336 48 86% 245, 247, 264, 268, 276, 284, 286, 313, 332-333, 360, 371->375, 379-386, 468-469, 494-495, 568->564, 590->592, 690, 708, 744, 822-823, 838-842, 843->807, 861, 869, 876->exit, 900, 903->906, 958, 963, 985->989, 991->948, 997-1000, 1012, 1016, 1018, 1025, 1030-1033, 1111, 1113, 1183->1206, 1189->1206, 1207-1212, 1249, 1268->1273, 1272, 1282->1279, 1287->1279, 1294, 1297, 1305-1315
nvtabular/ops/clip.py 18 2 6 3 79% 44, 52->54, 55
nvtabular/ops/column_similarity.py 118 25 38 5 74% 19-20, 78->exit, 108, 134, 198-199, 208-210, 218-234, 251->254, 255, 265
nvtabular/ops/data_stats.py 56 2 22 3 94% 91->93, 95, 97->87, 102
nvtabular/ops/difference_lag.py 31 1 8 1 95% 69->71, 94
nvtabular/ops/dropna.py 8 0 0 0 100%
nvtabular/ops/fill.py 91 12 36 3 82% 63-67, 93, 121, 147, 151, 162-165
nvtabular/ops/filter.py 20 1 6 1 92% 49
nvtabular/ops/groupby.py 119 3 70 4 96% 73, 84, 94->96, 106->111, 141
nvtabular/ops/hash_bucket.py 35 3 18 2 87% 72, 102, 108
nvtabular/ops/hashed_cross.py 36 4 15 3 86% 53, 66, 81, 91
nvtabular/ops/internal/init.py 3 0 0 0 100%
nvtabular/ops/internal/concat_columns.py 11 0 0 0 100%
nvtabular/ops/internal/identity.py 6 1 0 0 83% 42
nvtabular/ops/internal/subset_columns.py 13 1 0 0 92% 53
nvtabular/ops/join_external.py 89 7 36 6 90% 20-21, 113, 115, 117, 159, 176->178, 215
nvtabular/ops/join_groupby.py 101 7 36 4 92% 108, 115, 124, 131->130, 215-216, 219-220
nvtabular/ops/lambdaop.py 39 6 18 6 79% 59, 63, 77, 89, 94, 103
nvtabular/ops/list_slice.py 66 24 26 1 58% 21-22, 53-54, 104-118, 126-137
nvtabular/ops/logop.py 13 0 0 0 100%
nvtabular/ops/moments.py 65 0 20 0 100%
nvtabular/ops/normalize.py 81 10 14 1 86% 70, 78-79, 85, 118-119, 141-142, 146, 157
nvtabular/ops/operator.py 66 1 14 1 98% 111
nvtabular/ops/rename.py 41 3 22 3 90% 47, 88-90
nvtabular/ops/stat_operator.py 8 0 0 0 100%
nvtabular/ops/target_encoding.py 153 11 66 4 91% 167->171, 175->184, 232-233, 236-237, 249-255, 346->349, 362
nvtabular/tags.py 16 0 0 0 100%
nvtabular/tools/init.py 0 0 0 0 100%
nvtabular/tools/data_gen.py 236 1 62 1 99% 321
nvtabular/tools/dataset_inspector.py 50 7 18 1 79% 32-39
nvtabular/tools/inspector_script.py 46 46 0 0 0% 17-168
nvtabular/utils.py 106 43 48 8 54% 31-32, 36-37, 50, 61-62, 64-66, 69, 72, 78, 84, 90-126, 145, 149->153
nvtabular/worker.py 82 5 38 7 90% 24-25, 82->99, 91, 92->99, 99->102, 108, 110, 111->113
nvtabular/workflow/init.py 2 0 0 0 100%
nvtabular/workflow/node.py 240 18 116 10 89% 55, 93->98, 146, 248->252, 288, 302, 311, 329-334, 339, 388-389, 400->395, 453-458
nvtabular/workflow/workflow.py 221 15 112 7 93% 28-29, 47, 139, 195, 222-224, 332, 347-348, 366-367, 502, 514

TOTAL 7659 1580 3105 347 77%
Coverage XML written to file coverage.xml

Required test coverage of 70% reached. Total coverage: 76.59%
=========================== short test summary info ============================
SKIPPED [1] ../../../../../usr/local/lib/python3.8/dist-packages/dask_cudf/io/tests/test_s3.py:16: could not import 's3fs': No module named 's3fs'
SKIPPED [8] tests/unit/test_io.py:555: could not import 'uavro': No module named 'uavro'
SKIPPED [2] tests/unit/test_io.py:914: Dask>=2021.07.1 required for file aggregation
SKIPPED [1] tests/unit/loader/test_tf_dataloader.py:521: not working correctly in ci environment
========= 1518 passed, 12 skipped, 791 warnings in 2117.61s (0:35:17) ==========
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://github.com/gitapi/repos/NVIDIA/NVTabular/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[nvtabular_tests] $ /bin/bash /tmp/jenkins8289593819874993775.sh

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GitHub pull request #1119 of commit 75fee355014da5cb858ed83938c2697feaf7303b, no merge conflicts.
Running as SYSTEM
Setting status of 75fee355014da5cb858ed83938c2697feaf7303b to PENDING with url http://10.20.13.93:8080/job/nvtabular_tests/3517/ and message: 'Pending'
Using context: Jenkins Unit Test Run
Building in workspace /var/jenkins_home/workspace/nvtabular_tests
using credential nvidia-merlin-bot
Cloning the remote Git repository
Cloning repository https://github.com/NVIDIA/NVTabular.git
 > git init /var/jenkins_home/workspace/nvtabular_tests/nvtabular # timeout=10
Fetching upstream changes from https://github.com/NVIDIA/NVTabular.git
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA/NVTabular.git +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/NVIDIA/NVTabular.git # timeout=10
 > git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/NVIDIA/NVTabular.git # timeout=10
Fetching upstream changes from https://github.com/NVIDIA/NVTabular.git
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA/NVTabular.git +refs/pull/1119/*:refs/remotes/origin/pr/1119/* # timeout=10
 > git rev-parse 75fee355014da5cb858ed83938c2697feaf7303b^{commit} # timeout=10
Checking out Revision 75fee355014da5cb858ed83938c2697feaf7303b (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 75fee355014da5cb858ed83938c2697feaf7303b # timeout=10
Commit message: "Merge remote-tracking branch 'upstream/main' into gcs-optimize"
 > git rev-list --no-walk 6ce18a706ab49f26d1354f6e3c78c050f5cc8c27 # timeout=10
First time build. Skipping changelog.
[nvtabular_tests] $ /bin/bash /tmp/jenkins1712319168722606245.sh
Installing NVTabular
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: pip in /var/jenkins_home/.local/lib/python3.8/site-packages (21.2.4)
Requirement already satisfied: setuptools in /var/jenkins_home/.local/lib/python3.8/site-packages (58.0.4)
Requirement already satisfied: wheel in /var/jenkins_home/.local/lib/python3.8/site-packages (0.37.0)
Requirement already satisfied: pybind11 in /var/jenkins_home/.local/lib/python3.8/site-packages (2.7.1)
running develop
running egg_info
creating nvtabular.egg-info
writing nvtabular.egg-info/PKG-INFO
writing dependency_links to nvtabular.egg-info/dependency_links.txt
writing requirements to nvtabular.egg-info/requires.txt
writing top-level names to nvtabular.egg-info/top_level.txt
writing manifest file 'nvtabular.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
warning: no files found matching '*.h' under directory 'cpp'
warning: no files found matching '*.cu' under directory 'cpp'
warning: no files found matching '*.cuh' under directory 'cpp'
adding license file 'LICENSE'
writing manifest file 'nvtabular.egg-info/SOURCES.txt'
running build_ext
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/python3.8 -c flagcheck.cpp -o flagcheck.o -std=c++17
building 'nvtabular_cpp' extension
creating build
creating build/temp.linux-x86_64-3.8
creating build/temp.linux-x86_64-3.8/cpp
creating build/temp.linux-x86_64-3.8/cpp/nvtabular
creating build/temp.linux-x86_64-3.8/cpp/nvtabular/inference
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+104.g75fee35 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/__init__.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/__init__.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+104.g75fee35 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/__init__.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/__init__.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+104.g75fee35 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/categorify.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/categorify.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+104.g75fee35 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/fill.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/fill.o -std=c++17 -fvisibility=hidden -g0
creating build/lib.linux-x86_64-3.8
x86_64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.8/cpp/nvtabular/__init__.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/__init__.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/categorify.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/fill.o -o build/lib.linux-x86_64-3.8/nvtabular_cpp.cpython-38-x86_64-linux-gnu.so
copying build/lib.linux-x86_64-3.8/nvtabular_cpp.cpython-38-x86_64-linux-gnu.so -> 
Generating nvtabular/inference/triton/model_config_pb2.py from nvtabular/inference/triton/model_config.proto
Creating /var/jenkins_home/.local/lib/python3.8/site-packages/nvtabular.egg-link (link to .)
nvtabular 0.6.0+104.g75fee35 is already the active version in easy-install.pth

Installed /var/jenkins_home/workspace/nvtabular_tests/nvtabular
Processing dependencies for nvtabular==0.6.0+104.g75fee35
Searching for protobuf==3.17.3
Best match: protobuf 3.17.3
Adding protobuf 3.17.3 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for tensorflow-metadata==1.2.0
Best match: tensorflow-metadata 1.2.0
Processing tensorflow_metadata-1.2.0-py3.8.egg
tensorflow-metadata 1.2.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tensorflow_metadata-1.2.0-py3.8.egg
Searching for pyarrow==4.0.1
Best match: pyarrow 4.0.1
Adding pyarrow 4.0.1 to easy-install.pth file
Installing plasma_store script to /var/jenkins_home/.local/bin

Using /usr/local/lib/python3.8/dist-packages
Searching for tqdm==4.61.2
Best match: tqdm 4.61.2
Processing tqdm-4.61.2-py3.8.egg
tqdm 4.61.2 is already the active version in easy-install.pth
Installing tqdm script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tqdm-4.61.2-py3.8.egg
Searching for numba==0.54.0
Best match: numba 0.54.0
Processing numba-0.54.0-py3.8-linux-x86_64.egg
numba 0.54.0 is already the active version in easy-install.pth
Installing pycc script to /var/jenkins_home/.local/bin
Installing numba script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/numba-0.54.0-py3.8-linux-x86_64.egg
Searching for pandas==1.2.5
Best match: pandas 1.2.5
Processing pandas-1.2.5-py3.8-linux-x86_64.egg
pandas 1.2.5 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg
Searching for distributed==2021.4.1
Best match: distributed 2021.4.1
Processing distributed-2021.4.1-py3.8.egg
distributed 2021.4.1 is already the active version in easy-install.pth
Installing dask-ssh script to /var/jenkins_home/.local/bin
Installing dask-scheduler script to /var/jenkins_home/.local/bin
Installing dask-worker script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/distributed-2021.4.1-py3.8.egg
Searching for dask==2021.4.1
Best match: dask 2021.4.1
Processing dask-2021.4.1-py3.8.egg
dask 2021.4.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/dask-2021.4.1-py3.8.egg
Searching for PyYAML==5.4.1
Best match: PyYAML 5.4.1
Processing PyYAML-5.4.1-py3.8-linux-x86_64.egg
PyYAML 5.4.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg
Searching for six==1.15.0
Best match: six 1.15.0
Adding six 1.15.0 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for googleapis-common-protos==1.53.0
Best match: googleapis-common-protos 1.53.0
Processing googleapis_common_protos-1.53.0-py3.8.egg
googleapis-common-protos 1.53.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/googleapis_common_protos-1.53.0-py3.8.egg
Searching for absl-py==0.12.0
Best match: absl-py 0.12.0
Processing absl_py-0.12.0-py3.8.egg
absl-py 0.12.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/absl_py-0.12.0-py3.8.egg
Searching for numpy==1.20.2
Best match: numpy 1.20.2
Adding numpy 1.20.2 to easy-install.pth file
Installing f2py script to /var/jenkins_home/.local/bin
Installing f2py3 script to /var/jenkins_home/.local/bin
Installing f2py3.8 script to /var/jenkins_home/.local/bin

Using /usr/local/lib/python3.8/dist-packages
Searching for setuptools==58.0.4
Best match: setuptools 58.0.4
Adding setuptools 58.0.4 to easy-install.pth file

Using /var/jenkins_home/.local/lib/python3.8/site-packages
Searching for llvmlite==0.37.0
Best match: llvmlite 0.37.0
Processing llvmlite-0.37.0-py3.8-linux-x86_64.egg
llvmlite 0.37.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/llvmlite-0.37.0-py3.8-linux-x86_64.egg
Searching for pytz==2021.1
Best match: pytz 2021.1
Adding pytz 2021.1 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for python-dateutil==2.8.2
Best match: python-dateutil 2.8.2
Adding python-dateutil 2.8.2 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for zict==2.0.0
Best match: zict 2.0.0
Processing zict-2.0.0-py3.8.egg
zict 2.0.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg
Searching for tornado==6.1
Best match: tornado 6.1
Processing tornado-6.1-py3.8-linux-x86_64.egg
tornado 6.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg
Searching for toolz==0.11.1
Best match: toolz 0.11.1
Processing toolz-0.11.1-py3.8.egg
toolz 0.11.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/toolz-0.11.1-py3.8.egg
Searching for tblib==1.7.0
Best match: tblib 1.7.0
Processing tblib-1.7.0-py3.8.egg
tblib 1.7.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg
Searching for sortedcontainers==2.4.0
Best match: sortedcontainers 2.4.0
Processing sortedcontainers-2.4.0-py3.8.egg
sortedcontainers 2.4.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg
Searching for psutil==5.8.0
Best match: psutil 5.8.0
Processing psutil-5.8.0-py3.8-linux-x86_64.egg
psutil 5.8.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg
Searching for msgpack==1.0.2
Best match: msgpack 1.0.2
Processing msgpack-1.0.2-py3.8-linux-x86_64.egg
msgpack 1.0.2 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/msgpack-1.0.2-py3.8-linux-x86_64.egg
Searching for cloudpickle==1.6.0
Best match: cloudpickle 1.6.0
Processing cloudpickle-1.6.0-py3.8.egg
cloudpickle 1.6.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/cloudpickle-1.6.0-py3.8.egg
Searching for click==8.0.1
Best match: click 8.0.1
Processing click-8.0.1-py3.8.egg
click 8.0.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/click-8.0.1-py3.8.egg
Searching for partd==1.2.0
Best match: partd 1.2.0
Processing partd-1.2.0-py3.8.egg
partd 1.2.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg
Searching for fsspec==2021.8.1
Best match: fsspec 2021.8.1
Processing fsspec-2021.8.1-py3.8.egg
fsspec 2021.8.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/fsspec-2021.8.1-py3.8.egg
Searching for HeapDict==1.0.1
Best match: HeapDict 1.0.1
Processing HeapDict-1.0.1-py3.8.egg
HeapDict 1.0.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg
Searching for locket==0.2.1
Best match: locket 0.2.1
Processing locket-0.2.1-py3.8.egg
locket 0.2.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg
Finished processing dependencies for nvtabular==0.6.0+104.g75fee35
Running black --check
All done! ✨ 🍰 ✨
129 files would be left unchanged.
Running flake8
Running isort
Skipped 2 files
Running bandit
Running pylint
************* Module nvtabular.ops.categorify
nvtabular/ops/categorify.py:497:15: I1101: Module 'nvtabular_cpp' has no 'inference' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member)
************* Module nvtabular.ops.fill
nvtabular/ops/fill.py:67:15: I1101: Module 'nvtabular_cpp' has no 'inference' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member)


Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00)

Running flake8-nb
Building docs
make: Entering directory '/var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs'
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.6) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
make: Leaving directory '/var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs'
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-6.2.5, py-1.10.0, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/nvtabular_tests/nvtabular, configfile: pyproject.toml
plugins: cov-2.12.1, forked-1.3.0, xdist-2.3.0
collected 1530 items / 1 skipped / 1529 selected

tests/unit/test_dask_nvt.py ............................................ [ 2%]
..................................................................... [ 7%]
tests/unit/test_io.py .................................................. [ 10%]
........................................................................ [ 15%]
..........ssssssss.....................................................s [ 20%]
s [ 20%]
tests/unit/test_notebooks.py ...... [ 20%]
tests/unit/test_tf4rec.py . [ 20%]
tests/unit/test_tools.py ...................... [ 22%]
tests/unit/test_triton_inference.py .............................. [ 23%]
tests/unit/columns/test_column_schemas.py .............................. [ 25%]
................................................... [ 29%]
tests/unit/columns/test_column_selector.py .................... [ 30%]
tests/unit/framework_utils/test_tf_feature_columns.py . [ 30%]
tests/unit/framework_utils/test_tf_layers.py ........................... [ 32%]
................................................... [ 35%]
tests/unit/framework_utils/test_torch_layers.py . [ 35%]
tests/unit/loader/test_dataloader_backend.py .. [ 35%]
tests/unit/loader/test_tf_dataloader.py ................................ [ 38%]
........................................s.. [ 40%]
tests/unit/loader/test_torch_dataloader.py ............................. [ 42%]
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tests/unit/ops/test_column_similarity.py ........................ [ 47%]
tests/unit/ops/test_ops.py ............................................. [ 50%]
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tests/unit/ops/test_ops_schema.py ...................................... [ 80%]
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tests/unit/workflow/test_cpu_workflow.py ...... [ 91%]
tests/unit/workflow/test_workflow.py ................................... [ 93%]
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tests/unit/workflow/test_workflow_node.py ........... [ 98%]
tests/unit/workflow/test_workflow_ops.py .. [ 98%]
tests/unit/workflow/test_workflow_schemas.py ....................... [100%]

=============================== warnings summary ===============================
tests/unit/test_dask_nvt.py: 3 warnings
tests/unit/test_io.py: 24 warnings
tests/unit/test_tf4rec.py: 2 warnings
tests/unit/test_tools.py: 2 warnings
tests/unit/test_triton_inference.py: 5 warnings
tests/unit/loader/test_tf_dataloader.py: 50 warnings
tests/unit/loader/test_torch_dataloader.py: 16 warnings
tests/unit/ops/test_column_similarity.py: 7 warnings
tests/unit/ops/test_ops.py: 74 warnings
tests/unit/workflow/test_workflow.py: 31 warnings
tests/unit/workflow/test_workflow_node.py: 1 warning
tests/unit/workflow/test_workflow_schemas.py: 1 warning
/var/jenkins_home/.local/lib/python3.8/site-packages/numba-0.54.0-py3.8-linux-x86_64.egg/numba/cuda/compiler.py:865: NumbaPerformanceWarning: �[1mGrid size (1) < 2 * SM count (112) will likely result in GPU under utilization due to low occupancy.�[0m
warn(NumbaPerformanceWarning(msg))

tests/unit/test_io.py::test_validate_dataset_bad_schema
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/io/dataset.py:1126: UserWarning: Unable to sample column dtypes to infer nvt.Dataset schema, schema is empty.
warnings.warn(

tests/unit/test_io.py: 96 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/init.py:38: DeprecationWarning: ColumnGroup is deprecated, use ColumnSelector instead
warnings.warn("ColumnGroup is deprecated, use ColumnSelector instead", DeprecationWarning)

tests/unit/test_io.py: 24 warnings
tests/unit/loader/test_torch_dataloader.py: 54 warnings
tests/unit/workflow/test_workflow_node.py: 1 warning
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/workflow/node.py:47: FutureWarning: The ["a", "b", "c"] >> ops.Operator syntax for creating a ColumnGroup has been deprecated in NVTabular 21.09 and will be removed in a future version.
warnings.warn(

tests/unit/test_io.py: 36 warnings
tests/unit/workflow/test_workflow.py: 44 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/workflow/workflow.py:89: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler will be used for execution. Please use the client argument to initialize a Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/test_io.py: 52 warnings
tests/unit/workflow/test_workflow.py: 35 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/io/dask.py:372: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler will be used for this write operation. Please use the client argument to initialize a Dataset and/or Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/test_io.py: 36 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/io/dataset.py:518: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler is being used for this shuffle operation. Please use the client argument to initialize a Dataset and/or Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/ops/test_ops.py::test_fill_missing[True-True-parquet]
tests/unit/ops/test_ops.py::test_fill_missing[True-False-parquet]
tests/unit/ops/test_ops.py::test_filter[parquet-0.1-True]
/var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg/pandas/core/indexing.py:1637: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
self._setitem_single_block(indexer, value, name)

tests/unit/ops/test_ops.py: 80 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/join_external.py:191: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[tmp] = _arange(len(df), like_df=df, dtype="int32")

tests/unit/ops/test_ops.py::test_filter[parquet-0.1-True]
tests/unit/ops/test_ops.py::test_filter[parquet-0.1-False]
tests/unit/ops/test_ops.py::test_groupby_op[keys0-True]
tests/unit/ops/test_ops.py::test_groupby_op[keys0-False]
tests/unit/ops/test_ops.py::test_groupby_op[id-True]
tests/unit/ops/test_ops.py::test_groupby_op[id-False]
/var/jenkins_home/.local/lib/python3.8/site-packages/dask-2021.4.1-py3.8.egg/dask/dataframe/core.py:6610: UserWarning: Insufficient elements for head. 1 elements requested, only 0 elements available. Try passing larger npartitions to head.
warnings.warn(msg.format(n, len(r)))

tests/unit/workflow/test_cpu_workflow.py: 78 warnings
/var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg/pandas/core/frame.py:3191: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
self[k1] = value[k2]

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

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

examples/multi-gpu-movielens/torch_trainer.py 65 0 6 1 99% 32->36
nvtabular/init.py 18 0 0 0 100%
nvtabular/columns/init.py 2 0 0 0 100%
nvtabular/columns/schema.py 209 17 103 20 88% 46->62, 49, 51, 53-56, 58, 98->109, 104, 147, 174, 260->267, 262, 263->265, 275, 292->297, 295->297, 308, 332, 339, 348, 351, 356->355
nvtabular/columns/selector.py 74 1 34 0 99% 121
nvtabular/dispatch.py 290 55 144 23 79% 36-40, 45-47, 53-63, 70-71, 114-116, 121-124, 128-133, 140, 159, 170, 176, 181->183, 194, 217-220, 259->261, 268, 271, 277, 293, 300, 331->336, 334, 337, 340->344, 377, 388-391, 417-420, 450, 454, 495, 519, 521, 528
nvtabular/framework_utils/init.py 0 0 0 0 100%
nvtabular/framework_utils/tensorflow/init.py 1 0 0 0 100%
nvtabular/framework_utils/tensorflow/feature_column_utils.py 134 78 90 15 39% 30, 99, 103, 114-130, 140, 143-158, 162, 166-167, 173-198, 207-217, 220-227, 229->233, 234, 239-279, 282
nvtabular/framework_utils/tensorflow/layers/init.py 4 0 0 0 100%
nvtabular/framework_utils/tensorflow/layers/embedding.py 153 12 85 6 91% 60, 68->49, 122, 179, 231-239, 335->343, 357->360, 363-364, 367
nvtabular/framework_utils/tensorflow/layers/interaction.py 47 25 20 1 43% 49, 74-103, 106-110, 113
nvtabular/framework_utils/tensorflow/layers/outer_product.py 30 24 10 0 15% 37-38, 41-60, 71-84, 87
nvtabular/framework_utils/tensorflow/tfrecords_to_parquet.py 58 58 30 0 0% 16-111
nvtabular/framework_utils/torch/init.py 0 0 0 0 100%
nvtabular/framework_utils/torch/layers/init.py 2 0 0 0 100%
nvtabular/framework_utils/torch/layers/embeddings.py 32 2 14 2 91% 50, 91
nvtabular/framework_utils/torch/models.py 45 1 28 4 93% 57->61, 87->89, 93->96, 103
nvtabular/framework_utils/torch/utils.py 75 5 30 5 90% 51->53, 64, 71->76, 75, 118-120
nvtabular/inference/init.py 0 0 0 0 100%
nvtabular/inference/triton/init.py 385 210 180 13 45% 82-86, 141-174, 195-218, 263-307, 338, 364-372, 380-387, 406, 428-444, 485-489, 527-537, 583-623, 629-645, 649-716, 723->726, 726->722, 762-772, 781, 791, 812, 818-844, 850-876, 883, 889->892, 893
nvtabular/inference/triton/benchmarking_tools.py 52 52 10 0 0% 2-103
nvtabular/inference/triton/data_conversions.py 87 3 58 4 95% 32-33, 84
nvtabular/inference/triton/model.py 176 176 98 0 0% 27-332
nvtabular/inference/triton/model_config_pb2.py 299 0 2 0 100%
nvtabular/inference/triton/model_pt.py 101 101 40 0 0% 27-220
nvtabular/io/init.py 4 0 0 0 100%
nvtabular/io/avro.py 88 88 30 0 0% 16-189
nvtabular/io/csv.py 57 6 20 5 86% 22-23, 99, 103->107, 108, 110, 124
nvtabular/io/dask.py 183 18 72 11 87% 111, 114, 150, 235-246, 398, 408, 425->428, 436, 440->442, 442->438, 447, 449
nvtabular/io/dataframe_engine.py 61 5 28 6 88% 19-20, 50, 69, 88->92, 92->97, 94->97, 97->116, 125
nvtabular/io/dataset.py 365 77 176 30 75% 48-49, 262, 264, 277, 286, 306-320, 443->517, 448-451, 457-464, 469-513, 517->526, 577-578, 579->583, 626, 748, 750, 752, 758, 762-764, 766, 826-827, 854, 861-862, 868, 874, 970-971, 1088-1093, 1099, 1146->1151, 1149, 1192, 1201
nvtabular/io/dataset_engine.py 31 1 4 0 97% 48
nvtabular/io/fsspec_utils.py 117 103 64 0 8% 26-27, 42-98, 103-135, 151-191, 213-263, 268-284, 288-290, 304-315
nvtabular/io/hugectr.py 45 2 24 2 91% 34, 74->97, 101
nvtabular/io/parquet.py 569 55 188 28 87% 34-35, 56, 76, 80->103, 89, 98, 123, 133->138, 151, 153, 177->181, 184-190, 232-240, 260, 266, 284->286, 299, 318-328, 366-382, 496-501, 539-544, 660->667, 728->733, 734-735, 855, 859, 863, 869, 901, 918, 922, 929->931, 1039->exit, 1049->1054, 1059->1069, 1074, 1096, 1123, 1127
nvtabular/io/shuffle.py 31 6 16 5 77% 42, 44-45, 49, 59, 63
nvtabular/io/writer.py 175 13 68 5 92% 24-25, 51, 79, 125, 128, 212, 221, 224, 267, 288-290
nvtabular/io/writer_factory.py 18 2 8 2 85% 35, 60
nvtabular/loader/init.py 0 0 0 0 100%
nvtabular/loader/backend.py 330 13 140 11 95% 111, 143-144, 242->244, 254-258, 304-305, 344->348, 345->344, 419, 423-424, 454, 559, 567
nvtabular/loader/tensorflow.py 163 22 52 7 86% 58, 66-69, 84, 98, 308, 344, 359-361, 390-392, 402-410, 413-416
nvtabular/loader/tf_utils.py 55 10 20 5 80% 29->32, 32->34, 39->41, 43, 50-51, 58-60, 66-70
nvtabular/loader/torch.py 81 13 16 2 78% 25-27, 30-36, 111, 149-150
nvtabular/ops/init.py 22 0 0 0 100%
nvtabular/ops/add_metadata.py 9 0 0 0 100%
nvtabular/ops/bucketize.py 37 10 18 3 69% 53-55, 59->exit, 62-65, 84-87, 94
nvtabular/ops/categorify.py 622 66 332 47 86% 244, 246, 263, 267, 275, 283, 285, 312, 331-332, 359, 370->374, 378-385, 467-468, 493-494, 615, 708, 726, 762, 840-841, 856-860, 861->825, 879, 887, 894->exit, 918, 921->924, 976, 981, 1003->1007, 1009->966, 1015-1018, 1030, 1034, 1036, 1043, 1048-1051, 1129, 1131, 1201->1224, 1207->1224, 1225-1230, 1267, 1286->1291, 1290, 1300->1297, 1305->1297, 1312, 1315, 1323-1333
nvtabular/ops/clip.py 18 2 6 3 79% 44, 52->54, 55
nvtabular/ops/column_similarity.py 118 25 38 5 74% 19-20, 78->exit, 108, 134, 198-199, 208-210, 218-234, 251->254, 255, 265
nvtabular/ops/data_stats.py 56 2 22 3 94% 91->93, 95, 97->87, 102
nvtabular/ops/difference_lag.py 31 1 8 1 95% 69->71, 94
nvtabular/ops/dropna.py 8 0 0 0 100%
nvtabular/ops/fill.py 91 12 36 3 82% 63-67, 93, 121, 147, 151, 162-165
nvtabular/ops/filter.py 20 1 6 1 92% 49
nvtabular/ops/groupby.py 119 3 70 4 96% 73, 84, 94->96, 106->111, 141
nvtabular/ops/hash_bucket.py 41 2 20 2 93% 72, 106->112, 118
nvtabular/ops/hashed_cross.py 36 4 15 3 86% 53, 66, 81, 91
nvtabular/ops/internal/init.py 3 0 0 0 100%
nvtabular/ops/internal/concat_columns.py 11 0 0 0 100%
nvtabular/ops/internal/identity.py 6 1 0 0 83% 42
nvtabular/ops/internal/subset_columns.py 13 1 0 0 92% 53
nvtabular/ops/join_external.py 92 18 36 7 76% 20-21, 114, 116, 118, 135-161, 177->179, 216->227, 221
nvtabular/ops/join_groupby.py 101 7 36 4 92% 108, 115, 124, 131->130, 215-216, 219-220
nvtabular/ops/lambdaop.py 39 6 18 6 79% 59, 63, 77, 89, 94, 103
nvtabular/ops/list_slice.py 66 24 26 1 58% 21-22, 53-54, 104-118, 126-137
nvtabular/ops/logop.py 13 0 0 0 100%
nvtabular/ops/moments.py 65 0 20 0 100%
nvtabular/ops/normalize.py 81 10 14 1 86% 70, 78-79, 85, 118-119, 141-142, 146, 157
nvtabular/ops/operator.py 66 1 14 1 98% 111
nvtabular/ops/rename.py 41 3 22 3 90% 47, 88-90
nvtabular/ops/stat_operator.py 8 0 0 0 100%
nvtabular/ops/target_encoding.py 153 11 66 4 91% 167->171, 175->184, 232-233, 236-237, 249-255, 346->349, 362
nvtabular/tags.py 16 0 0 0 100%
nvtabular/tools/init.py 0 0 0 0 100%
nvtabular/tools/data_gen.py 236 1 62 1 99% 321
nvtabular/tools/dataset_inspector.py 50 7 18 1 79% 32-39
nvtabular/tools/inspector_script.py 46 46 0 0 0% 17-168
nvtabular/utils.py 106 43 48 8 54% 31-32, 36-37, 50, 61-62, 64-66, 69, 72, 78, 84, 90-126, 145, 149->153
nvtabular/worker.py 82 5 38 7 90% 24-25, 82->99, 91, 92->99, 99->102, 108, 110, 111->113
nvtabular/workflow/init.py 2 0 0 0 100%
nvtabular/workflow/node.py 240 18 116 10 89% 55, 93->98, 146, 248->252, 288, 302, 311, 329-334, 339, 388-389, 400->395, 453-458
nvtabular/workflow/workflow.py 221 15 112 7 93% 28-29, 47, 139, 195, 222-224, 332, 347-348, 366-367, 502, 514

TOTAL 7697 1599 3125 349 76%
Coverage XML written to file coverage.xml

Required test coverage of 70% reached. Total coverage: 76.43%
=========================== short test summary info ============================
SKIPPED [1] ../../../../../usr/local/lib/python3.8/dist-packages/dask_cudf/io/tests/test_s3.py:16: could not import 's3fs': No module named 's3fs'
SKIPPED [8] tests/unit/test_io.py:555: could not import 'uavro': No module named 'uavro'
SKIPPED [2] tests/unit/test_io.py:914: Dask>=2021.07.1 required for file aggregation
SKIPPED [1] tests/unit/loader/test_tf_dataloader.py:521: not working correctly in ci environment
========= 1519 passed, 12 skipped, 762 warnings in 2100.26s (0:35:00) ==========
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://github.com/gitapi/repos/NVIDIA/NVTabular/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[nvtabular_tests] $ /bin/bash /tmp/jenkins6450482988292853521.sh

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GitHub pull request #1119 of commit 90a614a7ae6c1c09241527e91cdb7920b3e329f3, no merge conflicts.
Running as SYSTEM
Setting status of 90a614a7ae6c1c09241527e91cdb7920b3e329f3 to PENDING with url http://10.20.13.93:8080/job/nvtabular_tests/3520/ and message: 'Pending'
Using context: Jenkins Unit Test Run
Building in workspace /var/jenkins_home/workspace/nvtabular_tests
using credential nvidia-merlin-bot
Cloning the remote Git repository
Cloning repository https://github.com/NVIDIA/NVTabular.git
 > git init /var/jenkins_home/workspace/nvtabular_tests/nvtabular # timeout=10
Fetching upstream changes from https://github.com/NVIDIA/NVTabular.git
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA/NVTabular.git +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/NVIDIA/NVTabular.git # timeout=10
 > git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/NVIDIA/NVTabular.git # timeout=10
Fetching upstream changes from https://github.com/NVIDIA/NVTabular.git
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA/NVTabular.git +refs/pull/1119/*:refs/remotes/origin/pr/1119/* # timeout=10
 > git rev-parse 90a614a7ae6c1c09241527e91cdb7920b3e329f3^{commit} # timeout=10
Checking out Revision 90a614a7ae6c1c09241527e91cdb7920b3e329f3 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 90a614a7ae6c1c09241527e91cdb7920b3e329f3 # timeout=10
Commit message: "Merge branch 'main' into gcs-optimize"
 > git rev-list --no-walk ce1a58fee40ebbc7fb17a3e9bb49c78610240282 # timeout=10
First time build. Skipping changelog.
[nvtabular_tests] $ /bin/bash /tmp/jenkins1364061957326648401.sh
Installing NVTabular
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: pip in /var/jenkins_home/.local/lib/python3.8/site-packages (21.2.4)
Requirement already satisfied: setuptools in /var/jenkins_home/.local/lib/python3.8/site-packages (58.0.4)
Requirement already satisfied: wheel in /var/jenkins_home/.local/lib/python3.8/site-packages (0.37.0)
Requirement already satisfied: pybind11 in /var/jenkins_home/.local/lib/python3.8/site-packages (2.7.1)
running develop
running egg_info
creating nvtabular.egg-info
writing nvtabular.egg-info/PKG-INFO
writing dependency_links to nvtabular.egg-info/dependency_links.txt
writing requirements to nvtabular.egg-info/requires.txt
writing top-level names to nvtabular.egg-info/top_level.txt
writing manifest file 'nvtabular.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
warning: no files found matching '*.h' under directory 'cpp'
warning: no files found matching '*.cu' under directory 'cpp'
warning: no files found matching '*.cuh' under directory 'cpp'
adding license file 'LICENSE'
writing manifest file 'nvtabular.egg-info/SOURCES.txt'
running build_ext
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/python3.8 -c flagcheck.cpp -o flagcheck.o -std=c++17
building 'nvtabular_cpp' extension
creating build
creating build/temp.linux-x86_64-3.8
creating build/temp.linux-x86_64-3.8/cpp
creating build/temp.linux-x86_64-3.8/cpp/nvtabular
creating build/temp.linux-x86_64-3.8/cpp/nvtabular/inference
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+106.g90a614a -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/__init__.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/__init__.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+106.g90a614a -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/__init__.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/__init__.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+106.g90a614a -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/categorify.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/categorify.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+106.g90a614a -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/fill.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/fill.o -std=c++17 -fvisibility=hidden -g0
creating build/lib.linux-x86_64-3.8
x86_64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.8/cpp/nvtabular/__init__.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/__init__.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/categorify.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/fill.o -o build/lib.linux-x86_64-3.8/nvtabular_cpp.cpython-38-x86_64-linux-gnu.so
copying build/lib.linux-x86_64-3.8/nvtabular_cpp.cpython-38-x86_64-linux-gnu.so -> 
Generating nvtabular/inference/triton/model_config_pb2.py from nvtabular/inference/triton/model_config.proto
Creating /var/jenkins_home/.local/lib/python3.8/site-packages/nvtabular.egg-link (link to .)
nvtabular 0.6.0+106.g90a614a is already the active version in easy-install.pth

Installed /var/jenkins_home/workspace/nvtabular_tests/nvtabular
Processing dependencies for nvtabular==0.6.0+106.g90a614a
Searching for protobuf==3.17.3
Best match: protobuf 3.17.3
Adding protobuf 3.17.3 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for tensorflow-metadata==1.2.0
Best match: tensorflow-metadata 1.2.0
Processing tensorflow_metadata-1.2.0-py3.8.egg
tensorflow-metadata 1.2.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tensorflow_metadata-1.2.0-py3.8.egg
Searching for pyarrow==4.0.1
Best match: pyarrow 4.0.1
Adding pyarrow 4.0.1 to easy-install.pth file
Installing plasma_store script to /var/jenkins_home/.local/bin

Using /usr/local/lib/python3.8/dist-packages
Searching for tqdm==4.61.2
Best match: tqdm 4.61.2
Processing tqdm-4.61.2-py3.8.egg
tqdm 4.61.2 is already the active version in easy-install.pth
Installing tqdm script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tqdm-4.61.2-py3.8.egg
Searching for numba==0.54.0
Best match: numba 0.54.0
Processing numba-0.54.0-py3.8-linux-x86_64.egg
numba 0.54.0 is already the active version in easy-install.pth
Installing pycc script to /var/jenkins_home/.local/bin
Installing numba script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/numba-0.54.0-py3.8-linux-x86_64.egg
Searching for pandas==1.2.5
Best match: pandas 1.2.5
Processing pandas-1.2.5-py3.8-linux-x86_64.egg
pandas 1.2.5 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg
Searching for distributed==2021.4.1
Best match: distributed 2021.4.1
Processing distributed-2021.4.1-py3.8.egg
distributed 2021.4.1 is already the active version in easy-install.pth
Installing dask-ssh script to /var/jenkins_home/.local/bin
Installing dask-scheduler script to /var/jenkins_home/.local/bin
Installing dask-worker script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/distributed-2021.4.1-py3.8.egg
Searching for dask==2021.4.1
Best match: dask 2021.4.1
Processing dask-2021.4.1-py3.8.egg
dask 2021.4.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/dask-2021.4.1-py3.8.egg
Searching for PyYAML==5.4.1
Best match: PyYAML 5.4.1
Processing PyYAML-5.4.1-py3.8-linux-x86_64.egg
PyYAML 5.4.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg
Searching for six==1.15.0
Best match: six 1.15.0
Adding six 1.15.0 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for googleapis-common-protos==1.53.0
Best match: googleapis-common-protos 1.53.0
Processing googleapis_common_protos-1.53.0-py3.8.egg
googleapis-common-protos 1.53.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/googleapis_common_protos-1.53.0-py3.8.egg
Searching for absl-py==0.12.0
Best match: absl-py 0.12.0
Processing absl_py-0.12.0-py3.8.egg
absl-py 0.12.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/absl_py-0.12.0-py3.8.egg
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Best match: numpy 1.20.2
Adding numpy 1.20.2 to easy-install.pth file
Installing f2py script to /var/jenkins_home/.local/bin
Installing f2py3 script to /var/jenkins_home/.local/bin
Installing f2py3.8 script to /var/jenkins_home/.local/bin

Using /usr/local/lib/python3.8/dist-packages
Searching for setuptools==58.0.4
Best match: setuptools 58.0.4
Adding setuptools 58.0.4 to easy-install.pth file

Using /var/jenkins_home/.local/lib/python3.8/site-packages
Searching for llvmlite==0.37.0
Best match: llvmlite 0.37.0
Processing llvmlite-0.37.0-py3.8-linux-x86_64.egg
llvmlite 0.37.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/llvmlite-0.37.0-py3.8-linux-x86_64.egg
Searching for pytz==2021.1
Best match: pytz 2021.1
Adding pytz 2021.1 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for python-dateutil==2.8.2
Best match: python-dateutil 2.8.2
Adding python-dateutil 2.8.2 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for zict==2.0.0
Best match: zict 2.0.0
Processing zict-2.0.0-py3.8.egg
zict 2.0.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg
Searching for tornado==6.1
Best match: tornado 6.1
Processing tornado-6.1-py3.8-linux-x86_64.egg
tornado 6.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg
Searching for toolz==0.11.1
Best match: toolz 0.11.1
Processing toolz-0.11.1-py3.8.egg
toolz 0.11.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/toolz-0.11.1-py3.8.egg
Searching for tblib==1.7.0
Best match: tblib 1.7.0
Processing tblib-1.7.0-py3.8.egg
tblib 1.7.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg
Searching for sortedcontainers==2.4.0
Best match: sortedcontainers 2.4.0
Processing sortedcontainers-2.4.0-py3.8.egg
sortedcontainers 2.4.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg
Searching for psutil==5.8.0
Best match: psutil 5.8.0
Processing psutil-5.8.0-py3.8-linux-x86_64.egg
psutil 5.8.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg
Searching for msgpack==1.0.2
Best match: msgpack 1.0.2
Processing msgpack-1.0.2-py3.8-linux-x86_64.egg
msgpack 1.0.2 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/msgpack-1.0.2-py3.8-linux-x86_64.egg
Searching for cloudpickle==1.6.0
Best match: cloudpickle 1.6.0
Processing cloudpickle-1.6.0-py3.8.egg
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Using /var/jenkins_home/.local/lib/python3.8/site-packages/cloudpickle-1.6.0-py3.8.egg
Searching for click==8.0.1
Best match: click 8.0.1
Processing click-8.0.1-py3.8.egg
click 8.0.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/click-8.0.1-py3.8.egg
Searching for partd==1.2.0
Best match: partd 1.2.0
Processing partd-1.2.0-py3.8.egg
partd 1.2.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg
Searching for fsspec==2021.8.1
Best match: fsspec 2021.8.1
Processing fsspec-2021.8.1-py3.8.egg
fsspec 2021.8.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/fsspec-2021.8.1-py3.8.egg
Searching for HeapDict==1.0.1
Best match: HeapDict 1.0.1
Processing HeapDict-1.0.1-py3.8.egg
HeapDict 1.0.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg
Searching for locket==0.2.1
Best match: locket 0.2.1
Processing locket-0.2.1-py3.8.egg
locket 0.2.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg
Finished processing dependencies for nvtabular==0.6.0+106.g90a614a
Running black --check
All done! ✨ 🍰 ✨
129 files would be left unchanged.
Running flake8
Running isort
Skipped 2 files
Running bandit
Running pylint
************* Module nvtabular.ops.categorify
nvtabular/ops/categorify.py:497:15: I1101: Module 'nvtabular_cpp' has no 'inference' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member)
************* Module nvtabular.ops.fill
nvtabular/ops/fill.py:67:15: I1101: Module 'nvtabular_cpp' has no 'inference' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member)


Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00)

Running flake8-nb
Building docs
make: Entering directory '/var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs'
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.6) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
make: Leaving directory '/var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs'
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-6.2.5, py-1.10.0, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/nvtabular_tests/nvtabular, configfile: pyproject.toml
plugins: cov-2.12.1, forked-1.3.0, xdist-2.3.0
collected 1532 items / 1 skipped / 1531 selected

tests/unit/test_dask_nvt.py ............................................ [ 2%]
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tests/unit/test_io.py .................................................. [ 10%]
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...........ssssssss..................................................... [ 20%]
ss [ 20%]
tests/unit/test_notebooks.py ...... [ 20%]
tests/unit/test_tf4rec.py . [ 20%]
tests/unit/test_tools.py ...................... [ 22%]
tests/unit/test_triton_inference.py .............................. [ 24%]
tests/unit/columns/test_column_schemas.py .............................. [ 25%]
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tests/unit/columns/test_column_selector.py .................... [ 30%]
tests/unit/framework_utils/test_tf_feature_columns.py . [ 30%]
tests/unit/framework_utils/test_tf_layers.py ........................... [ 32%]
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tests/unit/framework_utils/test_torch_layers.py . [ 35%]
tests/unit/loader/test_dataloader_backend.py .. [ 36%]
tests/unit/loader/test_tf_dataloader.py ................................ [ 38%]
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tests/unit/loader/test_torch_dataloader.py ............................. [ 42%]
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tests/unit/ops/test_column_similarity.py ........................ [ 47%]
tests/unit/ops/test_ops.py ............................................. [ 50%]
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tests/unit/ops/test_ops_schema.py ...................................... [ 80%]
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tests/unit/workflow/test_cpu_workflow.py ...... [ 91%]
tests/unit/workflow/test_workflow.py ................................... [ 93%]
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tests/unit/workflow/test_workflow_node.py ........... [ 98%]
tests/unit/workflow/test_workflow_ops.py .. [ 98%]
tests/unit/workflow/test_workflow_schemas.py ....................... [100%]

=============================== warnings summary ===============================
tests/unit/test_dask_nvt.py: 3 warnings
tests/unit/test_io.py: 24 warnings
tests/unit/test_tf4rec.py: 2 warnings
tests/unit/test_tools.py: 2 warnings
tests/unit/test_triton_inference.py: 5 warnings
tests/unit/loader/test_tf_dataloader.py: 50 warnings
tests/unit/loader/test_torch_dataloader.py: 16 warnings
tests/unit/ops/test_column_similarity.py: 7 warnings
tests/unit/ops/test_ops.py: 74 warnings
tests/unit/workflow/test_workflow.py: 31 warnings
tests/unit/workflow/test_workflow_node.py: 1 warning
tests/unit/workflow/test_workflow_schemas.py: 1 warning
/var/jenkins_home/.local/lib/python3.8/site-packages/numba-0.54.0-py3.8-linux-x86_64.egg/numba/cuda/compiler.py:865: NumbaPerformanceWarning: �[1mGrid size (1) < 2 * SM count (112) will likely result in GPU under utilization due to low occupancy.�[0m
warn(NumbaPerformanceWarning(msg))

tests/unit/test_io.py::test_validate_dataset_bad_schema
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/io/dataset.py:1129: UserWarning: Unable to sample column dtypes to infer nvt.Dataset schema, schema is empty.
warnings.warn(

tests/unit/test_io.py: 96 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/init.py:38: DeprecationWarning: ColumnGroup is deprecated, use ColumnSelector instead
warnings.warn("ColumnGroup is deprecated, use ColumnSelector instead", DeprecationWarning)

tests/unit/test_io.py: 24 warnings
tests/unit/loader/test_torch_dataloader.py: 54 warnings
tests/unit/workflow/test_workflow_node.py: 1 warning
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/workflow/node.py:47: FutureWarning: The ["a", "b", "c"] >> ops.Operator syntax for creating a ColumnGroup has been deprecated in NVTabular 21.09 and will be removed in a future version.
warnings.warn(

tests/unit/test_io.py: 36 warnings
tests/unit/workflow/test_workflow.py: 44 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/workflow/workflow.py:89: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler will be used for execution. Please use the client argument to initialize a Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/test_io.py: 52 warnings
tests/unit/workflow/test_workflow.py: 35 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/io/dask.py:372: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler will be used for this write operation. Please use the client argument to initialize a Dataset and/or Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/test_io.py: 36 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/io/dataset.py:521: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler is being used for this shuffle operation. Please use the client argument to initialize a Dataset and/or Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-parquet-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-parquet-0.1]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-0.1]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-no-header-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-no-header-0.1]
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/fill.py:125: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[f"{col}_filled"] = df[col].isna()

tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-parquet-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-parquet-0.1]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-0.1]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-no-header-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-no-header-0.1]
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/fill.py:126: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[col] = df[col].fillna(self.medians[col])

tests/unit/ops/test_ops.py::test_fill_missing[True-True-parquet]
tests/unit/ops/test_ops.py::test_fill_missing[True-False-parquet]
tests/unit/ops/test_ops.py::test_filter[parquet-0.1-True]
/var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg/pandas/core/indexing.py:1637: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
self._setitem_single_block(indexer, value, name)

tests/unit/ops/test_ops.py::test_fill_missing[True-True-parquet]
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/fill.py:54: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[f"{col}_filled"] = df[col].isna()

tests/unit/ops/test_ops.py::test_fill_missing[True-True-parquet]
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/fill.py:55: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[col] = df[col].fillna(self.fill_val)

tests/unit/ops/test_ops.py: 80 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/join_external.py:191: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[tmp] = _arange(len(df), like_df=df, dtype="int32")

tests/unit/ops/test_ops.py::test_filter[parquet-0.1-True]
tests/unit/ops/test_ops.py::test_filter[parquet-0.1-False]
tests/unit/ops/test_ops.py::test_groupby_op[keys0-True]
tests/unit/ops/test_ops.py::test_groupby_op[keys0-False]
tests/unit/ops/test_ops.py::test_groupby_op[id-True]
tests/unit/ops/test_ops.py::test_groupby_op[id-False]
/var/jenkins_home/.local/lib/python3.8/site-packages/dask-2021.4.1-py3.8.egg/dask/dataframe/core.py:6610: UserWarning: Insufficient elements for head. 1 elements requested, only 0 elements available. Try passing larger npartitions to head.
warnings.warn(msg.format(n, len(r)))

tests/unit/workflow/test_cpu_workflow.py: 78 warnings
/var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg/pandas/core/frame.py:3191: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
self[k1] = value[k2]

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

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

examples/multi-gpu-movielens/torch_trainer.py 65 0 6 1 99% 32->36
nvtabular/init.py 18 0 0 0 100%
nvtabular/columns/init.py 2 0 0 0 100%
nvtabular/columns/schema.py 213 17 103 20 88% 46->62, 49, 51, 53-56, 58, 98->109, 104, 151, 178, 264->271, 266, 267->269, 278, 295->300, 298->300, 311, 335, 342, 351, 354, 359->358
nvtabular/columns/selector.py 74 1 34 0 99% 121
nvtabular/dispatch.py 290 55 144 23 79% 36-40, 45-47, 53-63, 70-71, 114-116, 121-124, 128-133, 140, 159, 170, 176, 181->183, 194, 217-220, 259->261, 268, 271, 277, 293, 300, 331->336, 334, 337, 340->344, 377, 388-391, 417-420, 450, 454, 495, 519, 521, 528
nvtabular/framework_utils/init.py 0 0 0 0 100%
nvtabular/framework_utils/tensorflow/init.py 1 0 0 0 100%
nvtabular/framework_utils/tensorflow/feature_column_utils.py 134 78 90 15 39% 30, 99, 103, 114-130, 140, 143-158, 162, 166-167, 173-198, 207-217, 220-227, 229->233, 234, 239-279, 282
nvtabular/framework_utils/tensorflow/layers/init.py 4 0 0 0 100%
nvtabular/framework_utils/tensorflow/layers/embedding.py 153 12 85 6 91% 60, 68->49, 122, 179, 231-239, 335->343, 357->360, 363-364, 367
nvtabular/framework_utils/tensorflow/layers/interaction.py 47 25 20 1 43% 49, 74-103, 106-110, 113
nvtabular/framework_utils/tensorflow/layers/outer_product.py 30 24 10 0 15% 37-38, 41-60, 71-84, 87
nvtabular/framework_utils/tensorflow/tfrecords_to_parquet.py 58 58 30 0 0% 16-111
nvtabular/framework_utils/torch/init.py 0 0 0 0 100%
nvtabular/framework_utils/torch/layers/init.py 2 0 0 0 100%
nvtabular/framework_utils/torch/layers/embeddings.py 32 2 14 2 91% 50, 91
nvtabular/framework_utils/torch/models.py 45 1 28 4 93% 57->61, 87->89, 93->96, 103
nvtabular/framework_utils/torch/utils.py 75 5 30 5 90% 51->53, 64, 71->76, 75, 118-120
nvtabular/inference/init.py 0 0 0 0 100%
nvtabular/inference/triton/init.py 385 210 180 13 45% 82-86, 141-174, 195-218, 263-307, 338, 364-372, 380-387, 406, 428-444, 485-489, 527-537, 583-623, 629-645, 649-716, 723->726, 726->722, 762-772, 781, 791, 812, 818-844, 850-876, 883, 889->892, 893
nvtabular/inference/triton/benchmarking_tools.py 52 52 10 0 0% 2-103
nvtabular/inference/triton/data_conversions.py 87 3 58 4 95% 32-33, 84
nvtabular/inference/triton/model.py 176 176 98 0 0% 27-332
nvtabular/inference/triton/model_config_pb2.py 299 0 2 0 100%
nvtabular/inference/triton/model_pt.py 101 101 40 0 0% 27-220
nvtabular/io/init.py 4 0 0 0 100%
nvtabular/io/avro.py 88 88 30 0 0% 16-189
nvtabular/io/csv.py 57 6 20 5 86% 22-23, 99, 103->107, 108, 110, 124
nvtabular/io/dask.py 183 18 72 11 87% 111, 114, 150, 235-246, 398, 408, 425->428, 436, 440->442, 442->438, 447, 449
nvtabular/io/dataframe_engine.py 61 5 28 6 88% 19-20, 50, 69, 88->92, 92->97, 94->97, 97->116, 125
nvtabular/io/dataset.py 367 77 178 30 76% 48-49, 265, 267, 280, 289, 309-323, 446->520, 451-454, 460-467, 472-516, 520->529, 580-581, 582->586, 629, 751, 753, 755, 761, 765-767, 769, 829-830, 857, 864-865, 871, 877, 973-974, 1091-1096, 1102, 1149->1154, 1152, 1195, 1204
nvtabular/io/dataset_engine.py 31 1 4 0 97% 48
nvtabular/io/fsspec_utils.py 117 103 64 0 8% 26-27, 42-98, 103-135, 151-191, 213-263, 268-284, 288-290, 304-315
nvtabular/io/hugectr.py 45 2 24 2 91% 34, 74->97, 101
nvtabular/io/parquet.py 569 55 188 28 87% 34-35, 56, 76, 80->103, 89, 98, 123, 133->138, 151, 153, 177->181, 184-190, 232-240, 260, 266, 284->286, 299, 318-328, 366-382, 496-501, 539-544, 660->667, 728->733, 734-735, 855, 859, 863, 869, 901, 918, 922, 929->931, 1039->exit, 1049->1054, 1059->1069, 1074, 1096, 1123, 1127
nvtabular/io/shuffle.py 31 6 16 5 77% 42, 44-45, 49, 59, 63
nvtabular/io/writer.py 175 13 68 5 92% 24-25, 51, 79, 125, 128, 212, 221, 224, 267, 288-290
nvtabular/io/writer_factory.py 18 2 8 2 85% 35, 60
nvtabular/loader/init.py 0 0 0 0 100%
nvtabular/loader/backend.py 330 13 140 11 95% 128, 143-144, 242->244, 254-258, 304-305, 344->348, 345->344, 419, 423-424, 454, 559, 567
nvtabular/loader/tensorflow.py 163 22 52 7 86% 58, 66-69, 84, 98, 308, 344, 359-361, 390-392, 402-410, 413-416
nvtabular/loader/tf_utils.py 55 10 20 5 80% 29->32, 32->34, 39->41, 43, 50-51, 58-60, 66-70
nvtabular/loader/torch.py 81 13 16 2 78% 25-27, 30-36, 111, 149-150
nvtabular/ops/init.py 22 0 0 0 100%
nvtabular/ops/add_metadata.py 9 0 0 0 100%
nvtabular/ops/bucketize.py 37 10 18 3 69% 53-55, 59->exit, 62-65, 84-87, 94
nvtabular/ops/categorify.py 622 66 332 47 86% 244, 246, 263, 267, 275, 283, 285, 312, 331-332, 359, 370->374, 378-385, 467-468, 493-494, 615, 708, 726, 762, 840-841, 856-860, 861->825, 879, 887, 894->exit, 918, 921->924, 976, 981, 1003->1007, 1009->966, 1015-1018, 1030, 1034, 1036, 1043, 1048-1051, 1129, 1131, 1201->1224, 1207->1224, 1225-1230, 1267, 1286->1291, 1290, 1300->1297, 1305->1297, 1312, 1315, 1323-1333
nvtabular/ops/clip.py 18 2 6 3 79% 44, 52->54, 55
nvtabular/ops/column_similarity.py 118 25 38 5 74% 19-20, 78->exit, 108, 134, 198-199, 208-210, 218-234, 251->254, 255, 265
nvtabular/ops/data_stats.py 56 2 22 3 94% 91->93, 95, 97->87, 102
nvtabular/ops/difference_lag.py 31 1 8 1 95% 69->71, 94
nvtabular/ops/dropna.py 8 0 0 0 100%
nvtabular/ops/fill.py 91 12 36 3 82% 63-67, 93, 121, 147, 151, 162-165
nvtabular/ops/filter.py 20 1 6 1 92% 49
nvtabular/ops/groupby.py 119 3 70 4 96% 73, 84, 94->96, 106->111, 141
nvtabular/ops/hash_bucket.py 41 2 20 2 93% 72, 106->112, 118
nvtabular/ops/hashed_cross.py 36 4 15 3 86% 53, 66, 81, 91
nvtabular/ops/internal/init.py 3 0 0 0 100%
nvtabular/ops/internal/concat_columns.py 11 0 0 0 100%
nvtabular/ops/internal/identity.py 6 1 0 0 83% 42
nvtabular/ops/internal/subset_columns.py 13 1 0 0 92% 53
nvtabular/ops/join_external.py 92 18 36 7 76% 20-21, 114, 116, 118, 135-161, 177->179, 216->227, 221
nvtabular/ops/join_groupby.py 101 7 36 4 92% 108, 115, 124, 131->130, 215-216, 219-220
nvtabular/ops/lambdaop.py 39 6 18 6 79% 59, 63, 77, 89, 94, 103
nvtabular/ops/list_slice.py 66 24 26 1 58% 21-22, 53-54, 104-118, 126-137
nvtabular/ops/logop.py 13 0 0 0 100%
nvtabular/ops/moments.py 65 0 20 0 100%
nvtabular/ops/normalize.py 81 10 14 1 86% 70, 78-79, 85, 118-119, 141-142, 146, 157
nvtabular/ops/operator.py 66 1 14 1 98% 111
nvtabular/ops/rename.py 41 3 22 3 90% 47, 88-90
nvtabular/ops/stat_operator.py 8 0 0 0 100%
nvtabular/ops/target_encoding.py 153 11 66 4 91% 167->171, 175->184, 232-233, 236-237, 249-255, 346->349, 362
nvtabular/tags.py 16 0 0 0 100%
nvtabular/tools/init.py 0 0 0 0 100%
nvtabular/tools/data_gen.py 236 1 62 1 99% 321
nvtabular/tools/dataset_inspector.py 50 7 18 1 79% 32-39
nvtabular/tools/inspector_script.py 46 46 0 0 0% 17-168
nvtabular/utils.py 106 43 48 8 54% 31-32, 36-37, 50, 61-62, 64-66, 69, 72, 78, 84, 90-126, 145, 149->153
nvtabular/worker.py 82 5 38 7 90% 24-25, 82->99, 91, 92->99, 99->102, 108, 110, 111->113
nvtabular/workflow/init.py 2 0 0 0 100%
nvtabular/workflow/node.py 240 18 116 10 89% 55, 93->98, 146, 248->252, 288, 302, 311, 329-334, 339, 388-389, 400->395, 453-458
nvtabular/workflow/workflow.py 221 15 112 7 93% 28-29, 47, 139, 195, 222-224, 332, 347-348, 366-367, 502, 514

TOTAL 7703 1599 3127 349 76%
Coverage XML written to file coverage.xml

Required test coverage of 70% reached. Total coverage: 76.45%
=========================== short test summary info ============================
SKIPPED [1] ../../../../../usr/local/lib/python3.8/dist-packages/dask_cudf/io/tests/test_s3.py:16: could not import 's3fs': No module named 's3fs'
SKIPPED [8] tests/unit/test_io.py:561: could not import 'uavro': No module named 'uavro'
SKIPPED [2] tests/unit/test_io.py:920: Dask>=2021.07.1 required for file aggregation
SKIPPED [1] tests/unit/loader/test_tf_dataloader.py:521: not working correctly in ci environment
========= 1521 passed, 12 skipped, 776 warnings in 2185.68s (0:36:25) ==========
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://github.com/gitapi/repos/NVIDIA/NVTabular/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[nvtabular_tests] $ /bin/bash /tmp/jenkins3256842587658989508.sh

@nvidia-merlin-bot
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GitHub pull request #1119 of commit fe1071e16c5b99c386216b2fc913cc2e91dfdacd, no merge conflicts.
Running as SYSTEM
Setting status of fe1071e16c5b99c386216b2fc913cc2e91dfdacd to PENDING with url http://10.20.13.93:8080/job/nvtabular_tests/3527/ and message: 'Pending'
Using context: Jenkins Unit Test Run
Building in workspace /var/jenkins_home/workspace/nvtabular_tests
using credential nvidia-merlin-bot
Cloning the remote Git repository
Cloning repository https://github.com/NVIDIA/NVTabular.git
 > git init /var/jenkins_home/workspace/nvtabular_tests/nvtabular # timeout=10
Fetching upstream changes from https://github.com/NVIDIA/NVTabular.git
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA/NVTabular.git +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/NVIDIA/NVTabular.git # timeout=10
 > git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/NVIDIA/NVTabular.git # timeout=10
Fetching upstream changes from https://github.com/NVIDIA/NVTabular.git
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA/NVTabular.git +refs/pull/1119/*:refs/remotes/origin/pr/1119/* # timeout=10
 > git rev-parse fe1071e16c5b99c386216b2fc913cc2e91dfdacd^{commit} # timeout=10
Checking out Revision fe1071e16c5b99c386216b2fc913cc2e91dfdacd (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f fe1071e16c5b99c386216b2fc913cc2e91dfdacd # timeout=10
Commit message: "Merge branch 'main' into gcs-optimize"
 > git rev-list --no-walk 6cd0e6c6103a7baafb0c100f18ec401ec6861e6a # timeout=10
First time build. Skipping changelog.
[nvtabular_tests] $ /bin/bash /tmp/jenkins4902828011332440561.sh
Installing NVTabular
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: pip in /var/jenkins_home/.local/lib/python3.8/site-packages (21.2.4)
Requirement already satisfied: setuptools in /var/jenkins_home/.local/lib/python3.8/site-packages (58.0.4)
Requirement already satisfied: wheel in /var/jenkins_home/.local/lib/python3.8/site-packages (0.37.0)
Requirement already satisfied: pybind11 in /var/jenkins_home/.local/lib/python3.8/site-packages (2.7.1)
running develop
running egg_info
creating nvtabular.egg-info
writing nvtabular.egg-info/PKG-INFO
writing dependency_links to nvtabular.egg-info/dependency_links.txt
writing requirements to nvtabular.egg-info/requires.txt
writing top-level names to nvtabular.egg-info/top_level.txt
writing manifest file 'nvtabular.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
warning: no files found matching '*.h' under directory 'cpp'
warning: no files found matching '*.cu' under directory 'cpp'
warning: no files found matching '*.cuh' under directory 'cpp'
adding license file 'LICENSE'
writing manifest file 'nvtabular.egg-info/SOURCES.txt'
running build_ext
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/python3.8 -c flagcheck.cpp -o flagcheck.o -std=c++17
building 'nvtabular_cpp' extension
creating build
creating build/temp.linux-x86_64-3.8
creating build/temp.linux-x86_64-3.8/cpp
creating build/temp.linux-x86_64-3.8/cpp/nvtabular
creating build/temp.linux-x86_64-3.8/cpp/nvtabular/inference
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+108.gfe1071e -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/__init__.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/__init__.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+108.gfe1071e -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/__init__.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/__init__.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+108.gfe1071e -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/categorify.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/categorify.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+108.gfe1071e -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/fill.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/fill.o -std=c++17 -fvisibility=hidden -g0
creating build/lib.linux-x86_64-3.8
x86_64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.8/cpp/nvtabular/__init__.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/__init__.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/categorify.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/fill.o -o build/lib.linux-x86_64-3.8/nvtabular_cpp.cpython-38-x86_64-linux-gnu.so
copying build/lib.linux-x86_64-3.8/nvtabular_cpp.cpython-38-x86_64-linux-gnu.so -> 
Generating nvtabular/inference/triton/model_config_pb2.py from nvtabular/inference/triton/model_config.proto
Creating /var/jenkins_home/.local/lib/python3.8/site-packages/nvtabular.egg-link (link to .)
nvtabular 0.6.0+108.gfe1071e is already the active version in easy-install.pth

Installed /var/jenkins_home/workspace/nvtabular_tests/nvtabular
Processing dependencies for nvtabular==0.6.0+108.gfe1071e
Searching for protobuf==3.17.3
Best match: protobuf 3.17.3
Adding protobuf 3.17.3 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for tensorflow-metadata==1.2.0
Best match: tensorflow-metadata 1.2.0
Processing tensorflow_metadata-1.2.0-py3.8.egg
tensorflow-metadata 1.2.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tensorflow_metadata-1.2.0-py3.8.egg
Searching for pyarrow==4.0.1
Best match: pyarrow 4.0.1
Adding pyarrow 4.0.1 to easy-install.pth file
Installing plasma_store script to /var/jenkins_home/.local/bin

Using /usr/local/lib/python3.8/dist-packages
Searching for tqdm==4.61.2
Best match: tqdm 4.61.2
Processing tqdm-4.61.2-py3.8.egg
tqdm 4.61.2 is already the active version in easy-install.pth
Installing tqdm script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tqdm-4.61.2-py3.8.egg
Searching for numba==0.54.0
Best match: numba 0.54.0
Processing numba-0.54.0-py3.8-linux-x86_64.egg
numba 0.54.0 is already the active version in easy-install.pth
Installing pycc script to /var/jenkins_home/.local/bin
Installing numba script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/numba-0.54.0-py3.8-linux-x86_64.egg
Searching for pandas==1.2.5
Best match: pandas 1.2.5
Processing pandas-1.2.5-py3.8-linux-x86_64.egg
pandas 1.2.5 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg
Searching for distributed==2021.4.1
Best match: distributed 2021.4.1
Processing distributed-2021.4.1-py3.8.egg
distributed 2021.4.1 is already the active version in easy-install.pth
Installing dask-ssh script to /var/jenkins_home/.local/bin
Installing dask-scheduler script to /var/jenkins_home/.local/bin
Installing dask-worker script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/distributed-2021.4.1-py3.8.egg
Searching for dask==2021.4.1
Best match: dask 2021.4.1
Processing dask-2021.4.1-py3.8.egg
dask 2021.4.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/dask-2021.4.1-py3.8.egg
Searching for PyYAML==5.4.1
Best match: PyYAML 5.4.1
Processing PyYAML-5.4.1-py3.8-linux-x86_64.egg
PyYAML 5.4.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg
Searching for six==1.15.0
Best match: six 1.15.0
Adding six 1.15.0 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for googleapis-common-protos==1.53.0
Best match: googleapis-common-protos 1.53.0
Processing googleapis_common_protos-1.53.0-py3.8.egg
googleapis-common-protos 1.53.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/googleapis_common_protos-1.53.0-py3.8.egg
Searching for absl-py==0.12.0
Best match: absl-py 0.12.0
Processing absl_py-0.12.0-py3.8.egg
absl-py 0.12.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/absl_py-0.12.0-py3.8.egg
Searching for numpy==1.20.2
Best match: numpy 1.20.2
Adding numpy 1.20.2 to easy-install.pth file
Installing f2py script to /var/jenkins_home/.local/bin
Installing f2py3 script to /var/jenkins_home/.local/bin
Installing f2py3.8 script to /var/jenkins_home/.local/bin

Using /usr/local/lib/python3.8/dist-packages
Searching for setuptools==58.0.4
Best match: setuptools 58.0.4
Adding setuptools 58.0.4 to easy-install.pth file

Using /var/jenkins_home/.local/lib/python3.8/site-packages
Searching for llvmlite==0.37.0
Best match: llvmlite 0.37.0
Processing llvmlite-0.37.0-py3.8-linux-x86_64.egg
llvmlite 0.37.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/llvmlite-0.37.0-py3.8-linux-x86_64.egg
Searching for pytz==2021.1
Best match: pytz 2021.1
Adding pytz 2021.1 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for python-dateutil==2.8.2
Best match: python-dateutil 2.8.2
Adding python-dateutil 2.8.2 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for zict==2.0.0
Best match: zict 2.0.0
Processing zict-2.0.0-py3.8.egg
zict 2.0.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg
Searching for tornado==6.1
Best match: tornado 6.1
Processing tornado-6.1-py3.8-linux-x86_64.egg
tornado 6.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg
Searching for toolz==0.11.1
Best match: toolz 0.11.1
Processing toolz-0.11.1-py3.8.egg
toolz 0.11.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/toolz-0.11.1-py3.8.egg
Searching for tblib==1.7.0
Best match: tblib 1.7.0
Processing tblib-1.7.0-py3.8.egg
tblib 1.7.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg
Searching for sortedcontainers==2.4.0
Best match: sortedcontainers 2.4.0
Processing sortedcontainers-2.4.0-py3.8.egg
sortedcontainers 2.4.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg
Searching for psutil==5.8.0
Best match: psutil 5.8.0
Processing psutil-5.8.0-py3.8-linux-x86_64.egg
psutil 5.8.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg
Searching for msgpack==1.0.2
Best match: msgpack 1.0.2
Processing msgpack-1.0.2-py3.8-linux-x86_64.egg
msgpack 1.0.2 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/msgpack-1.0.2-py3.8-linux-x86_64.egg
Searching for cloudpickle==1.6.0
Best match: cloudpickle 1.6.0
Processing cloudpickle-1.6.0-py3.8.egg
cloudpickle 1.6.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/cloudpickle-1.6.0-py3.8.egg
Searching for click==8.0.1
Best match: click 8.0.1
Processing click-8.0.1-py3.8.egg
click 8.0.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/click-8.0.1-py3.8.egg
Searching for partd==1.2.0
Best match: partd 1.2.0
Processing partd-1.2.0-py3.8.egg
partd 1.2.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg
Searching for fsspec==2021.8.1
Best match: fsspec 2021.8.1
Processing fsspec-2021.8.1-py3.8.egg
fsspec 2021.8.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/fsspec-2021.8.1-py3.8.egg
Searching for HeapDict==1.0.1
Best match: HeapDict 1.0.1
Processing HeapDict-1.0.1-py3.8.egg
HeapDict 1.0.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg
Searching for locket==0.2.1
Best match: locket 0.2.1
Processing locket-0.2.1-py3.8.egg
locket 0.2.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg
Finished processing dependencies for nvtabular==0.6.0+108.gfe1071e
Running black --check
All done! ✨ 🍰 ✨
129 files would be left unchanged.
Running flake8
Running isort
Skipped 2 files
Running bandit
Running pylint
************* Module nvtabular.ops.categorify
nvtabular/ops/categorify.py:497:15: I1101: Module 'nvtabular_cpp' has no 'inference' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member)
************* Module nvtabular.ops.fill
nvtabular/ops/fill.py:67:15: I1101: Module 'nvtabular_cpp' has no 'inference' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member)


Your code has been rated at 10.00/10 (previous run: 9.99/10, +0.01)

Running flake8-nb
Building docs
make: Entering directory '/var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs'
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.6) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
make: Leaving directory '/var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs'
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-6.2.5, py-1.10.0, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/nvtabular_tests/nvtabular, configfile: pyproject.toml
plugins: cov-2.12.1, forked-1.3.0, xdist-2.3.0
collected 1538 items / 1 skipped / 1537 selected

tests/unit/test_dask_nvt.py ............................................ [ 2%]
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tests/unit/test_io.py .................................................. [ 10%]
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tests/unit/test_notebooks.py ...... [ 20%]
tests/unit/test_tf4rec.py . [ 20%]
tests/unit/test_tools.py ...................... [ 22%]
tests/unit/test_triton_inference.py .............................. [ 24%]
tests/unit/columns/test_column_schemas.py .............................. [ 26%]
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tests/unit/columns/test_column_selector.py .................... [ 30%]
tests/unit/framework_utils/test_tf_feature_columns.py . [ 31%]
tests/unit/framework_utils/test_tf_layers.py ........................... [ 32%]
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tests/unit/framework_utils/test_torch_layers.py . [ 36%]
tests/unit/loader/test_dataloader_backend.py .. [ 36%]
tests/unit/loader/test_tf_dataloader.py ................................ [ 38%]
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tests/unit/loader/test_torch_dataloader.py ............................. [ 43%]
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tests/unit/ops/test_column_similarity.py ........................ [ 48%]
tests/unit/ops/test_ops.py ............................................. [ 51%]
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tests/unit/ops/test_ops_schema.py ...................................... [ 80%]
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.......................... [ 91%]
tests/unit/workflow/test_cpu_workflow.py ...... [ 91%]
tests/unit/workflow/test_workflow.py ................................... [ 93%]
.......................................................... [ 97%]
tests/unit/workflow/test_workflow_node.py ........... [ 98%]
tests/unit/workflow/test_workflow_ops.py .. [ 98%]
tests/unit/workflow/test_workflow_schemas.py ....................... [100%]

=============================== warnings summary ===============================
tests/unit/test_dask_nvt.py: 3 warnings
tests/unit/test_io.py: 24 warnings
tests/unit/test_tf4rec.py: 2 warnings
tests/unit/test_tools.py: 2 warnings
tests/unit/test_triton_inference.py: 5 warnings
tests/unit/loader/test_tf_dataloader.py: 50 warnings
tests/unit/loader/test_torch_dataloader.py: 16 warnings
tests/unit/ops/test_column_similarity.py: 7 warnings
tests/unit/ops/test_ops.py: 74 warnings
tests/unit/workflow/test_workflow.py: 31 warnings
tests/unit/workflow/test_workflow_node.py: 1 warning
tests/unit/workflow/test_workflow_schemas.py: 1 warning
/var/jenkins_home/.local/lib/python3.8/site-packages/numba-0.54.0-py3.8-linux-x86_64.egg/numba/cuda/compiler.py:865: NumbaPerformanceWarning: �[1mGrid size (1) < 2 * SM count (112) will likely result in GPU under utilization due to low occupancy.�[0m
warn(NumbaPerformanceWarning(msg))

tests/unit/test_io.py::test_validate_dataset_bad_schema
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/io/dataset.py:1129: UserWarning: Unable to sample column dtypes to infer nvt.Dataset schema, schema is empty.
warnings.warn(

tests/unit/test_io.py: 96 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/init.py:38: DeprecationWarning: ColumnGroup is deprecated, use ColumnSelector instead
warnings.warn("ColumnGroup is deprecated, use ColumnSelector instead", DeprecationWarning)

tests/unit/test_io.py: 24 warnings
tests/unit/loader/test_torch_dataloader.py: 54 warnings
tests/unit/workflow/test_workflow_node.py: 1 warning
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/workflow/node.py:47: FutureWarning: The ["a", "b", "c"] >> ops.Operator syntax for creating a ColumnGroup has been deprecated in NVTabular 21.09 and will be removed in a future version.
warnings.warn(

tests/unit/test_io.py: 36 warnings
tests/unit/workflow/test_workflow.py: 44 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/workflow/workflow.py:89: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler will be used for execution. Please use the client argument to initialize a Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/test_io.py: 52 warnings
tests/unit/workflow/test_workflow.py: 35 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/io/dask.py:372: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler will be used for this write operation. Please use the client argument to initialize a Dataset and/or Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/test_io.py: 36 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/io/dataset.py:521: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler is being used for this shuffle operation. Please use the client argument to initialize a Dataset and/or Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/ops/test_column_similarity.py: 12 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/column_similarity.py:109: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[name] = similarities

tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-parquet-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-parquet-0.1]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-0.1]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-no-header-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-no-header-0.1]
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/fill.py:125: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[f"{col}_filled"] = df[col].isna()

tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-parquet-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-parquet-0.1]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-0.1]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-no-header-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-no-header-0.1]
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/fill.py:126: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[col] = df[col].fillna(self.medians[col])

tests/unit/ops/test_ops.py::test_fill_missing[True-True-parquet]
tests/unit/ops/test_ops.py::test_fill_missing[True-False-parquet]
tests/unit/ops/test_ops.py::test_filter[parquet-0.1-True]
/var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg/pandas/core/indexing.py:1637: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
self._setitem_single_block(indexer, value, name)

tests/unit/ops/test_ops.py::test_fill_missing[True-True-parquet]
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/fill.py:54: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[f"{col}_filled"] = df[col].isna()

tests/unit/ops/test_ops.py::test_fill_missing[True-True-parquet]
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/fill.py:55: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[col] = df[col].fillna(self.fill_val)

tests/unit/ops/test_ops.py: 80 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/join_external.py:191: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[tmp] = _arange(len(df), like_df=df, dtype="int32")

tests/unit/ops/test_ops.py::test_filter[parquet-0.1-True]
tests/unit/ops/test_ops.py::test_filter[parquet-0.1-False]
tests/unit/ops/test_ops.py::test_groupby_op[keys0-True]
tests/unit/ops/test_ops.py::test_groupby_op[keys0-False]
tests/unit/ops/test_ops.py::test_groupby_op[id-True]
tests/unit/ops/test_ops.py::test_groupby_op[id-False]
/var/jenkins_home/.local/lib/python3.8/site-packages/dask-2021.4.1-py3.8.egg/dask/dataframe/core.py:6610: UserWarning: Insufficient elements for head. 1 elements requested, only 0 elements available. Try passing larger npartitions to head.
warnings.warn(msg.format(n, len(r)))

tests/unit/workflow/test_cpu_workflow.py: 78 warnings
/var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg/pandas/core/frame.py:3191: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
self[k1] = value[k2]

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

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

examples/multi-gpu-movielens/torch_trainer.py 65 0 6 1 99% 32->36
nvtabular/init.py 18 0 0 0 100%
nvtabular/columns/init.py 2 0 0 0 100%
nvtabular/columns/schema.py 217 17 107 20 89% 46->62, 49, 51, 53-56, 58, 98->114, 106, 110, 156, 183, 269->276, 272->274, 283, 300->305, 303->305, 316, 340, 347, 356, 359, 364->363
nvtabular/columns/selector.py 74 1 34 0 99% 121
nvtabular/dispatch.py 290 55 144 23 79% 36-40, 45-47, 53-63, 70-71, 114-116, 121-124, 128-133, 140, 159, 170, 176, 181->183, 194, 217-220, 259->261, 268, 271, 277, 293, 300, 331->336, 334, 337, 340->344, 377, 388-391, 417-420, 450, 454, 495, 519, 521, 528
nvtabular/framework_utils/init.py 0 0 0 0 100%
nvtabular/framework_utils/tensorflow/init.py 1 0 0 0 100%
nvtabular/framework_utils/tensorflow/feature_column_utils.py 134 78 90 15 39% 30, 99, 103, 114-130, 140, 143-158, 162, 166-167, 173-198, 207-217, 220-227, 229->233, 234, 239-279, 282
nvtabular/framework_utils/tensorflow/layers/init.py 4 0 0 0 100%
nvtabular/framework_utils/tensorflow/layers/embedding.py 153 12 85 6 91% 60, 68->49, 122, 179, 231-239, 335->343, 357->360, 363-364, 367
nvtabular/framework_utils/tensorflow/layers/interaction.py 47 25 20 1 43% 49, 74-103, 106-110, 113
nvtabular/framework_utils/tensorflow/layers/outer_product.py 30 24 10 0 15% 37-38, 41-60, 71-84, 87
nvtabular/framework_utils/tensorflow/tfrecords_to_parquet.py 58 58 30 0 0% 16-111
nvtabular/framework_utils/torch/init.py 0 0 0 0 100%
nvtabular/framework_utils/torch/layers/init.py 2 0 0 0 100%
nvtabular/framework_utils/torch/layers/embeddings.py 32 2 14 2 91% 50, 91
nvtabular/framework_utils/torch/models.py 45 1 28 4 93% 57->61, 87->89, 93->96, 103
nvtabular/framework_utils/torch/utils.py 75 5 30 5 90% 51->53, 64, 71->76, 75, 118-120
nvtabular/inference/init.py 0 0 0 0 100%
nvtabular/inference/triton/init.py 385 210 180 13 45% 82-86, 141-174, 195-218, 263-307, 338, 364-372, 380-387, 406, 428-444, 485-489, 527-537, 583-623, 629-645, 649-716, 723->726, 726->722, 762-772, 781, 791, 812, 818-844, 850-876, 883, 889->892, 893
nvtabular/inference/triton/benchmarking_tools.py 52 52 10 0 0% 2-103
nvtabular/inference/triton/data_conversions.py 87 3 58 4 95% 32-33, 84
nvtabular/inference/triton/model.py 176 176 98 0 0% 27-332
nvtabular/inference/triton/model_config_pb2.py 299 0 2 0 100%
nvtabular/inference/triton/model_pt.py 101 101 40 0 0% 27-220
nvtabular/io/init.py 4 0 0 0 100%
nvtabular/io/avro.py 88 88 30 0 0% 16-189
nvtabular/io/csv.py 57 6 20 5 86% 22-23, 99, 103->107, 108, 110, 124
nvtabular/io/dask.py 183 18 72 11 87% 111, 114, 150, 235-246, 398, 408, 425->428, 436, 440->442, 442->438, 447, 449
nvtabular/io/dataframe_engine.py 61 5 28 6 88% 19-20, 50, 69, 88->92, 92->97, 94->97, 97->116, 125
nvtabular/io/dataset.py 367 77 178 30 76% 48-49, 265, 267, 280, 289, 309-323, 446->520, 451-454, 460-467, 472-516, 520->529, 580-581, 582->586, 629, 751, 753, 755, 761, 765-767, 769, 829-830, 857, 864-865, 871, 877, 973-974, 1091-1096, 1102, 1149->1154, 1152, 1195, 1204
nvtabular/io/dataset_engine.py 31 1 4 0 97% 48
nvtabular/io/fsspec_utils.py 117 103 64 0 8% 26-27, 42-98, 103-135, 151-191, 213-263, 268-284, 288-290, 304-315
nvtabular/io/hugectr.py 45 2 24 2 91% 34, 74->97, 101
nvtabular/io/parquet.py 569 55 188 28 87% 34-35, 56, 76, 80->103, 89, 98, 123, 133->138, 151, 153, 177->181, 184-190, 232-240, 260, 266, 284->286, 299, 318-328, 366-382, 496-501, 539-544, 660->667, 728->733, 734-735, 855, 859, 863, 869, 901, 918, 922, 929->931, 1039->exit, 1049->1054, 1059->1069, 1074, 1096, 1123, 1127
nvtabular/io/shuffle.py 31 6 16 5 77% 42, 44-45, 49, 59, 63
nvtabular/io/writer.py 175 13 68 5 92% 24-25, 51, 79, 125, 128, 212, 221, 224, 267, 288-290
nvtabular/io/writer_factory.py 18 2 8 2 85% 35, 60
nvtabular/loader/init.py 0 0 0 0 100%
nvtabular/loader/backend.py 330 13 140 11 95% 111, 143-144, 242->244, 254-258, 304-305, 344->348, 345->344, 419, 423-424, 454, 559, 567
nvtabular/loader/tensorflow.py 163 22 52 7 86% 58, 66-69, 84, 98, 308, 344, 359-361, 390-392, 402-410, 413-416
nvtabular/loader/tf_utils.py 55 10 20 5 80% 29->32, 32->34, 39->41, 43, 50-51, 58-60, 66-70
nvtabular/loader/torch.py 81 13 16 2 78% 25-27, 30-36, 111, 149-150
nvtabular/ops/init.py 22 0 0 0 100%
nvtabular/ops/add_metadata.py 9 0 0 0 100%
nvtabular/ops/bucketize.py 37 10 18 3 69% 53-55, 59->exit, 62-65, 84-87, 94
nvtabular/ops/categorify.py 622 66 332 47 86% 244, 246, 263, 267, 275, 283, 285, 312, 331-332, 359, 370->374, 378-385, 467-468, 493-494, 615, 708, 726, 762, 840-841, 856-860, 861->825, 879, 887, 894->exit, 918, 921->924, 976, 981, 1003->1007, 1009->966, 1015-1018, 1030, 1034, 1036, 1043, 1048-1051, 1129, 1131, 1201->1224, 1207->1224, 1225-1230, 1267, 1286->1291, 1290, 1300->1297, 1305->1297, 1312, 1315, 1323-1333
nvtabular/ops/clip.py 18 2 6 3 79% 44, 52->54, 55
nvtabular/ops/column_similarity.py 118 25 38 5 74% 19-20, 78->exit, 108, 134, 198-199, 208-210, 218-234, 251->254, 255, 265
nvtabular/ops/data_stats.py 56 2 22 3 94% 91->93, 95, 97->87, 102
nvtabular/ops/difference_lag.py 31 1 8 1 95% 69->71, 94
nvtabular/ops/dropna.py 8 0 0 0 100%
nvtabular/ops/fill.py 91 12 36 3 82% 63-67, 93, 121, 147, 151, 162-165
nvtabular/ops/filter.py 20 1 6 1 92% 49
nvtabular/ops/groupby.py 119 3 70 4 96% 73, 84, 94->96, 106->111, 141
nvtabular/ops/hash_bucket.py 41 2 20 2 93% 72, 106->112, 118
nvtabular/ops/hashed_cross.py 36 4 15 3 86% 53, 66, 81, 91
nvtabular/ops/internal/init.py 3 0 0 0 100%
nvtabular/ops/internal/concat_columns.py 11 0 0 0 100%
nvtabular/ops/internal/identity.py 6 1 0 0 83% 42
nvtabular/ops/internal/subset_columns.py 13 1 0 0 92% 53
nvtabular/ops/join_external.py 92 18 36 7 76% 20-21, 114, 116, 118, 135-161, 177->179, 216->227, 221
nvtabular/ops/join_groupby.py 101 7 36 4 92% 108, 115, 124, 131->130, 215-216, 219-220
nvtabular/ops/lambdaop.py 39 6 18 6 79% 59, 63, 77, 89, 94, 103
nvtabular/ops/list_slice.py 66 24 26 1 58% 21-22, 53-54, 104-118, 126-137
nvtabular/ops/logop.py 13 0 0 0 100%
nvtabular/ops/moments.py 65 0 20 0 100%
nvtabular/ops/normalize.py 81 10 14 1 86% 70, 78-79, 85, 118-119, 141-142, 146, 157
nvtabular/ops/operator.py 66 1 14 1 98% 111
nvtabular/ops/rename.py 41 3 22 3 90% 47, 88-90
nvtabular/ops/stat_operator.py 8 0 0 0 100%
nvtabular/ops/target_encoding.py 153 11 66 4 91% 167->171, 175->184, 232-233, 236-237, 249-255, 346->349, 362
nvtabular/tags.py 16 0 0 0 100%
nvtabular/tools/init.py 0 0 0 0 100%
nvtabular/tools/data_gen.py 236 1 62 1 99% 321
nvtabular/tools/dataset_inspector.py 50 7 18 1 79% 32-39
nvtabular/tools/inspector_script.py 46 46 0 0 0% 17-168
nvtabular/utils.py 106 43 48 8 54% 31-32, 36-37, 50, 61-62, 64-66, 69, 72, 78, 84, 90-126, 145, 149->153
nvtabular/worker.py 82 5 38 7 90% 24-25, 82->99, 91, 92->99, 99->102, 108, 110, 111->113
nvtabular/workflow/init.py 2 0 0 0 100%
nvtabular/workflow/node.py 240 18 116 10 89% 55, 93->98, 146, 248->252, 288, 302, 311, 329-334, 339, 388-389, 400->395, 453-458
nvtabular/workflow/workflow.py 221 15 112 7 93% 28-29, 47, 139, 195, 222-224, 332, 347-348, 366-367, 502, 514

TOTAL 7707 1599 3131 349 76%
Coverage XML written to file coverage.xml

Required test coverage of 70% reached. Total coverage: 76.46%
=========================== short test summary info ============================
SKIPPED [1] ../../../../../usr/local/lib/python3.8/dist-packages/dask_cudf/io/tests/test_s3.py:16: could not import 's3fs': No module named 's3fs'
SKIPPED [8] tests/unit/test_io.py:578: could not import 'uavro': No module named 'uavro'
SKIPPED [2] tests/unit/test_io.py:937: Dask>=2021.07.1 required for file aggregation
SKIPPED [1] tests/unit/loader/test_tf_dataloader.py:521: not working correctly in ci environment
========= 1527 passed, 12 skipped, 788 warnings in 2501.05s (0:41:41) ==========
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://github.com/gitapi/repos/NVIDIA/NVTabular/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[nvtabular_tests] $ /bin/bash /tmp/jenkins4481299713272747170.sh

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GitHub pull request #1119 of commit 1eeba17586774919f5b95273c4b3ae928e9f6d01, no merge conflicts.
Running as SYSTEM
Setting status of 1eeba17586774919f5b95273c4b3ae928e9f6d01 to PENDING with url http://10.20.13.93:8080/job/nvtabular_tests/3529/ and message: 'Pending'
Using context: Jenkins Unit Test Run
Building in workspace /var/jenkins_home/workspace/nvtabular_tests
using credential nvidia-merlin-bot
Cloning the remote Git repository
Cloning repository https://github.com/NVIDIA/NVTabular.git
 > git init /var/jenkins_home/workspace/nvtabular_tests/nvtabular # timeout=10
Fetching upstream changes from https://github.com/NVIDIA/NVTabular.git
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA/NVTabular.git +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/NVIDIA/NVTabular.git # timeout=10
 > git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/NVIDIA/NVTabular.git # timeout=10
Fetching upstream changes from https://github.com/NVIDIA/NVTabular.git
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA/NVTabular.git +refs/pull/1119/*:refs/remotes/origin/pr/1119/* # timeout=10
 > git rev-parse 1eeba17586774919f5b95273c4b3ae928e9f6d01^{commit} # timeout=10
Checking out Revision 1eeba17586774919f5b95273c4b3ae928e9f6d01 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 1eeba17586774919f5b95273c4b3ae928e9f6d01 # timeout=10
Commit message: "Merge branch 'gcs-optimize' of https://github.com/rjzamora/NVTabular into gcs-optimize"
 > git rev-list --no-walk 00d6f139d75ad2852bb14b86a59890bfd7f0b1ba # timeout=10
First time build. Skipping changelog.
[nvtabular_tests] $ /bin/bash /tmp/jenkins6821995565856491181.sh
Installing NVTabular
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: pip in /var/jenkins_home/.local/lib/python3.8/site-packages (21.2.4)
Requirement already satisfied: setuptools in /var/jenkins_home/.local/lib/python3.8/site-packages (58.0.4)
Requirement already satisfied: wheel in /var/jenkins_home/.local/lib/python3.8/site-packages (0.37.0)
Requirement already satisfied: pybind11 in /var/jenkins_home/.local/lib/python3.8/site-packages (2.7.1)
running develop
running egg_info
creating nvtabular.egg-info
writing nvtabular.egg-info/PKG-INFO
writing dependency_links to nvtabular.egg-info/dependency_links.txt
writing requirements to nvtabular.egg-info/requires.txt
writing top-level names to nvtabular.egg-info/top_level.txt
writing manifest file 'nvtabular.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
warning: no files found matching '*.h' under directory 'cpp'
warning: no files found matching '*.cu' under directory 'cpp'
warning: no files found matching '*.cuh' under directory 'cpp'
adding license file 'LICENSE'
writing manifest file 'nvtabular.egg-info/SOURCES.txt'
running build_ext
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/python3.8 -c flagcheck.cpp -o flagcheck.o -std=c++17
building 'nvtabular_cpp' extension
creating build
creating build/temp.linux-x86_64-3.8
creating build/temp.linux-x86_64-3.8/cpp
creating build/temp.linux-x86_64-3.8/cpp/nvtabular
creating build/temp.linux-x86_64-3.8/cpp/nvtabular/inference
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+110.g1eeba17 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/__init__.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/__init__.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+110.g1eeba17 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/__init__.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/__init__.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+110.g1eeba17 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/categorify.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/categorify.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+110.g1eeba17 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/fill.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/fill.o -std=c++17 -fvisibility=hidden -g0
creating build/lib.linux-x86_64-3.8
x86_64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.8/cpp/nvtabular/__init__.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/__init__.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/categorify.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/fill.o -o build/lib.linux-x86_64-3.8/nvtabular_cpp.cpython-38-x86_64-linux-gnu.so
copying build/lib.linux-x86_64-3.8/nvtabular_cpp.cpython-38-x86_64-linux-gnu.so -> 
Generating nvtabular/inference/triton/model_config_pb2.py from nvtabular/inference/triton/model_config.proto
Creating /var/jenkins_home/.local/lib/python3.8/site-packages/nvtabular.egg-link (link to .)
nvtabular 0.6.0+110.g1eeba17 is already the active version in easy-install.pth

Installed /var/jenkins_home/workspace/nvtabular_tests/nvtabular
Processing dependencies for nvtabular==0.6.0+110.g1eeba17
Searching for protobuf==3.17.3
Best match: protobuf 3.17.3
Adding protobuf 3.17.3 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for tensorflow-metadata==1.2.0
Best match: tensorflow-metadata 1.2.0
Processing tensorflow_metadata-1.2.0-py3.8.egg
tensorflow-metadata 1.2.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tensorflow_metadata-1.2.0-py3.8.egg
Searching for pyarrow==4.0.1
Best match: pyarrow 4.0.1
Adding pyarrow 4.0.1 to easy-install.pth file
Installing plasma_store script to /var/jenkins_home/.local/bin

Using /usr/local/lib/python3.8/dist-packages
Searching for tqdm==4.61.2
Best match: tqdm 4.61.2
Processing tqdm-4.61.2-py3.8.egg
tqdm 4.61.2 is already the active version in easy-install.pth
Installing tqdm script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tqdm-4.61.2-py3.8.egg
Searching for numba==0.54.0
Best match: numba 0.54.0
Processing numba-0.54.0-py3.8-linux-x86_64.egg
numba 0.54.0 is already the active version in easy-install.pth
Installing pycc script to /var/jenkins_home/.local/bin
Installing numba script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/numba-0.54.0-py3.8-linux-x86_64.egg
Searching for pandas==1.2.5
Best match: pandas 1.2.5
Processing pandas-1.2.5-py3.8-linux-x86_64.egg
pandas 1.2.5 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg
Searching for distributed==2021.4.1
Best match: distributed 2021.4.1
Processing distributed-2021.4.1-py3.8.egg
distributed 2021.4.1 is already the active version in easy-install.pth
Installing dask-ssh script to /var/jenkins_home/.local/bin
Installing dask-scheduler script to /var/jenkins_home/.local/bin
Installing dask-worker script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/distributed-2021.4.1-py3.8.egg
Searching for dask==2021.4.1
Best match: dask 2021.4.1
Processing dask-2021.4.1-py3.8.egg
dask 2021.4.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/dask-2021.4.1-py3.8.egg
Searching for PyYAML==5.4.1
Best match: PyYAML 5.4.1
Processing PyYAML-5.4.1-py3.8-linux-x86_64.egg
PyYAML 5.4.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg
Searching for six==1.15.0
Best match: six 1.15.0
Adding six 1.15.0 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for googleapis-common-protos==1.53.0
Best match: googleapis-common-protos 1.53.0
Processing googleapis_common_protos-1.53.0-py3.8.egg
googleapis-common-protos 1.53.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/googleapis_common_protos-1.53.0-py3.8.egg
Searching for absl-py==0.12.0
Best match: absl-py 0.12.0
Processing absl_py-0.12.0-py3.8.egg
absl-py 0.12.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/absl_py-0.12.0-py3.8.egg
Searching for numpy==1.20.2
Best match: numpy 1.20.2
Adding numpy 1.20.2 to easy-install.pth file
Installing f2py script to /var/jenkins_home/.local/bin
Installing f2py3 script to /var/jenkins_home/.local/bin
Installing f2py3.8 script to /var/jenkins_home/.local/bin

Using /usr/local/lib/python3.8/dist-packages
Searching for setuptools==58.0.4
Best match: setuptools 58.0.4
Adding setuptools 58.0.4 to easy-install.pth file

Using /var/jenkins_home/.local/lib/python3.8/site-packages
Searching for llvmlite==0.37.0
Best match: llvmlite 0.37.0
Processing llvmlite-0.37.0-py3.8-linux-x86_64.egg
llvmlite 0.37.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/llvmlite-0.37.0-py3.8-linux-x86_64.egg
Searching for pytz==2021.1
Best match: pytz 2021.1
Adding pytz 2021.1 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for python-dateutil==2.8.2
Best match: python-dateutil 2.8.2
Adding python-dateutil 2.8.2 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for zict==2.0.0
Best match: zict 2.0.0
Processing zict-2.0.0-py3.8.egg
zict 2.0.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg
Searching for tornado==6.1
Best match: tornado 6.1
Processing tornado-6.1-py3.8-linux-x86_64.egg
tornado 6.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg
Searching for toolz==0.11.1
Best match: toolz 0.11.1
Processing toolz-0.11.1-py3.8.egg
toolz 0.11.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/toolz-0.11.1-py3.8.egg
Searching for tblib==1.7.0
Best match: tblib 1.7.0
Processing tblib-1.7.0-py3.8.egg
tblib 1.7.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg
Searching for sortedcontainers==2.4.0
Best match: sortedcontainers 2.4.0
Processing sortedcontainers-2.4.0-py3.8.egg
sortedcontainers 2.4.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg
Searching for psutil==5.8.0
Best match: psutil 5.8.0
Processing psutil-5.8.0-py3.8-linux-x86_64.egg
psutil 5.8.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg
Searching for msgpack==1.0.2
Best match: msgpack 1.0.2
Processing msgpack-1.0.2-py3.8-linux-x86_64.egg
msgpack 1.0.2 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/msgpack-1.0.2-py3.8-linux-x86_64.egg
Searching for cloudpickle==1.6.0
Best match: cloudpickle 1.6.0
Processing cloudpickle-1.6.0-py3.8.egg
cloudpickle 1.6.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/cloudpickle-1.6.0-py3.8.egg
Searching for click==8.0.1
Best match: click 8.0.1
Processing click-8.0.1-py3.8.egg
click 8.0.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/click-8.0.1-py3.8.egg
Searching for partd==1.2.0
Best match: partd 1.2.0
Processing partd-1.2.0-py3.8.egg
partd 1.2.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg
Searching for fsspec==2021.8.1
Best match: fsspec 2021.8.1
Processing fsspec-2021.8.1-py3.8.egg
fsspec 2021.8.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/fsspec-2021.8.1-py3.8.egg
Searching for HeapDict==1.0.1
Best match: HeapDict 1.0.1
Processing HeapDict-1.0.1-py3.8.egg
HeapDict 1.0.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg
Searching for locket==0.2.1
Best match: locket 0.2.1
Processing locket-0.2.1-py3.8.egg
locket 0.2.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg
Finished processing dependencies for nvtabular==0.6.0+110.g1eeba17
Running black --check
All done! ✨ 🍰 ✨
129 files would be left unchanged.
Running flake8
Running isort
Skipped 2 files
Running bandit
Running pylint
************* Module nvtabular.ops.categorify
nvtabular/ops/categorify.py:497:15: I1101: Module 'nvtabular_cpp' has no 'inference' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member)
************* Module nvtabular.ops.fill
nvtabular/ops/fill.py:67:15: I1101: Module 'nvtabular_cpp' has no 'inference' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member)


Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00)

Running flake8-nb
Building docs
make: Entering directory '/var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs'
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.6) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
make: Leaving directory '/var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs'
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-6.2.5, py-1.10.0, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/nvtabular_tests/nvtabular, configfile: pyproject.toml
plugins: cov-2.12.1, forked-1.3.0, xdist-2.3.0
collected 1538 items / 1 skipped / 1537 selected

tests/unit/test_dask_nvt.py ............................................ [ 2%]
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tests/unit/test_io.py .................................................. [ 10%]
........................................................................ [ 15%]
.................ssssssss............................................... [ 19%]
......ss [ 20%]
tests/unit/test_notebooks.py ...... [ 20%]
tests/unit/test_tf4rec.py . [ 20%]
tests/unit/test_tools.py ...................... [ 22%]
tests/unit/test_triton_inference.py .............................. [ 24%]
tests/unit/columns/test_column_schemas.py .............................. [ 26%]
.................................................... [ 29%]
tests/unit/columns/test_column_selector.py .................... [ 30%]
tests/unit/framework_utils/test_tf_feature_columns.py . [ 31%]
tests/unit/framework_utils/test_tf_layers.py ........................... [ 32%]
................................................... [ 36%]
tests/unit/framework_utils/test_torch_layers.py . [ 36%]
tests/unit/loader/test_dataloader_backend.py .. [ 36%]
tests/unit/loader/test_tf_dataloader.py ................................ [ 38%]
........................................s.. [ 41%]
tests/unit/loader/test_torch_dataloader.py ............................. [ 43%]
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tests/unit/ops/test_column_similarity.py ........................ [ 48%]
tests/unit/ops/test_ops.py ............................................. [ 51%]
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tests/unit/ops/test_ops_schema.py ...................................... [ 80%]
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tests/unit/workflow/test_cpu_workflow.py ...... [ 91%]
tests/unit/workflow/test_workflow.py ................................... [ 93%]
.......................................................... [ 97%]
tests/unit/workflow/test_workflow_node.py ........... [ 98%]
tests/unit/workflow/test_workflow_ops.py .. [ 98%]
tests/unit/workflow/test_workflow_schemas.py ....................... [100%]

=============================== warnings summary ===============================
tests/unit/test_dask_nvt.py: 3 warnings
tests/unit/test_io.py: 24 warnings
tests/unit/test_tf4rec.py: 2 warnings
tests/unit/test_tools.py: 2 warnings
tests/unit/test_triton_inference.py: 5 warnings
tests/unit/loader/test_tf_dataloader.py: 50 warnings
tests/unit/loader/test_torch_dataloader.py: 16 warnings
tests/unit/ops/test_column_similarity.py: 7 warnings
tests/unit/ops/test_ops.py: 74 warnings
tests/unit/workflow/test_workflow.py: 31 warnings
tests/unit/workflow/test_workflow_node.py: 1 warning
tests/unit/workflow/test_workflow_schemas.py: 1 warning
/var/jenkins_home/.local/lib/python3.8/site-packages/numba-0.54.0-py3.8-linux-x86_64.egg/numba/cuda/compiler.py:865: NumbaPerformanceWarning: �[1mGrid size (1) < 2 * SM count (112) will likely result in GPU under utilization due to low occupancy.�[0m
warn(NumbaPerformanceWarning(msg))

tests/unit/test_io.py: 96 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/init.py:38: DeprecationWarning: ColumnGroup is deprecated, use ColumnSelector instead
warnings.warn("ColumnGroup is deprecated, use ColumnSelector instead", DeprecationWarning)

tests/unit/test_io.py: 24 warnings
tests/unit/loader/test_torch_dataloader.py: 54 warnings
tests/unit/workflow/test_workflow_node.py: 1 warning
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/workflow/node.py:47: FutureWarning: The ["a", "b", "c"] >> ops.Operator syntax for creating a ColumnGroup has been deprecated in NVTabular 21.09 and will be removed in a future version.
warnings.warn(

tests/unit/test_io.py: 36 warnings
tests/unit/workflow/test_workflow.py: 44 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/workflow/workflow.py:89: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler will be used for execution. Please use the client argument to initialize a Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/test_io.py: 52 warnings
tests/unit/workflow/test_workflow.py: 35 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/io/dask.py:372: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler will be used for this write operation. Please use the client argument to initialize a Dataset and/or Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/test_io.py: 36 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/io/dataset.py:521: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler is being used for this shuffle operation. Please use the client argument to initialize a Dataset and/or Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/ops/test_column_similarity.py: 12 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/column_similarity.py:109: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[name] = similarities

tests/unit/ops/test_ops.py::test_fill_missing[True-True-parquet]
tests/unit/ops/test_ops.py::test_fill_missing[True-False-parquet]
tests/unit/ops/test_ops.py::test_filter[parquet-0.1-True]
/var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg/pandas/core/indexing.py:1637: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
self._setitem_single_block(indexer, value, name)

tests/unit/ops/test_ops.py: 80 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/join_external.py:191: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[tmp] = _arange(len(df), like_df=df, dtype="int32")

tests/unit/ops/test_ops.py::test_filter[parquet-0.1-True]
tests/unit/ops/test_ops.py::test_filter[parquet-0.1-False]
tests/unit/ops/test_ops.py::test_groupby_op[id-True]
tests/unit/ops/test_ops.py::test_groupby_op[id-False]
/var/jenkins_home/.local/lib/python3.8/site-packages/dask-2021.4.1-py3.8.egg/dask/dataframe/core.py:6610: UserWarning: Insufficient elements for head. 1 elements requested, only 0 elements available. Try passing larger npartitions to head.
warnings.warn(msg.format(n, len(r)))

tests/unit/workflow/test_cpu_workflow.py: 78 warnings
/var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg/pandas/core/frame.py:3191: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
self[k1] = value[k2]

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

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

examples/multi-gpu-movielens/torch_trainer.py 65 0 6 1 99% 32->36
nvtabular/init.py 18 0 0 0 100%
nvtabular/columns/init.py 2 0 0 0 100%
nvtabular/columns/schema.py 217 17 107 20 89% 46->62, 49, 51, 53-56, 58, 98->114, 106, 110, 156, 183, 269->276, 272->274, 283, 300->305, 303->305, 316, 340, 347, 356, 359, 364->363
nvtabular/columns/selector.py 74 1 34 0 99% 121
nvtabular/dispatch.py 290 55 144 23 79% 36-40, 45-47, 53-63, 70-71, 114-116, 121-124, 128-133, 140, 159, 170, 176, 181->183, 194, 217-220, 259->261, 268, 271, 277, 293, 300, 331->336, 334, 337, 340->344, 377, 388-391, 417-420, 450, 454, 495, 519, 521, 528
nvtabular/framework_utils/init.py 0 0 0 0 100%
nvtabular/framework_utils/tensorflow/init.py 1 0 0 0 100%
nvtabular/framework_utils/tensorflow/feature_column_utils.py 134 78 90 15 39% 30, 99, 103, 114-130, 140, 143-158, 162, 166-167, 173-198, 207-217, 220-227, 229->233, 234, 239-279, 282
nvtabular/framework_utils/tensorflow/layers/init.py 4 0 0 0 100%
nvtabular/framework_utils/tensorflow/layers/embedding.py 153 12 85 6 91% 60, 68->49, 122, 179, 231-239, 335->343, 357->360, 363-364, 367
nvtabular/framework_utils/tensorflow/layers/interaction.py 47 25 20 1 43% 49, 74-103, 106-110, 113
nvtabular/framework_utils/tensorflow/layers/outer_product.py 30 24 10 0 15% 37-38, 41-60, 71-84, 87
nvtabular/framework_utils/tensorflow/tfrecords_to_parquet.py 58 58 30 0 0% 16-111
nvtabular/framework_utils/torch/init.py 0 0 0 0 100%
nvtabular/framework_utils/torch/layers/init.py 2 0 0 0 100%
nvtabular/framework_utils/torch/layers/embeddings.py 32 2 14 2 91% 50, 91
nvtabular/framework_utils/torch/models.py 45 1 28 4 93% 57->61, 87->89, 93->96, 103
nvtabular/framework_utils/torch/utils.py 75 5 30 5 90% 51->53, 64, 71->76, 75, 118-120
nvtabular/inference/init.py 0 0 0 0 100%
nvtabular/inference/triton/init.py 385 210 180 13 45% 82-86, 141-174, 195-218, 263-307, 338, 364-372, 380-387, 406, 428-444, 485-489, 527-537, 583-623, 629-645, 649-716, 723->726, 726->722, 762-772, 781, 791, 812, 818-844, 850-876, 883, 889->892, 893
nvtabular/inference/triton/benchmarking_tools.py 52 52 10 0 0% 2-103
nvtabular/inference/triton/data_conversions.py 87 3 58 4 95% 32-33, 84
nvtabular/inference/triton/model.py 176 176 98 0 0% 27-332
nvtabular/inference/triton/model_config_pb2.py 299 0 2 0 100%
nvtabular/inference/triton/model_pt.py 101 101 40 0 0% 27-220
nvtabular/io/init.py 4 0 0 0 100%
nvtabular/io/avro.py 88 88 30 0 0% 16-189
nvtabular/io/csv.py 57 6 20 5 86% 22-23, 99, 103->107, 108, 110, 124
nvtabular/io/dask.py 183 18 72 11 87% 111, 114, 150, 235-246, 398, 408, 425->428, 436, 440->442, 442->438, 447, 449
nvtabular/io/dataframe_engine.py 61 5 28 6 88% 19-20, 50, 69, 88->92, 92->97, 94->97, 97->116, 125
nvtabular/io/dataset.py 364 78 174 28 75% 48-49, 265, 267, 280, 289, 309-323, 446->520, 451-454, 460-467, 472-516, 520->529, 580-581, 582->586, 629, 751, 753, 755, 761, 765-767, 769, 829-830, 857, 864-865, 871, 877, 973-974, 1091-1096, 1102, 1114-1115, 1192, 1201
nvtabular/io/dataset_engine.py 31 1 4 0 97% 48
nvtabular/io/fsspec_utils.py 117 103 64 0 8% 26-27, 42-98, 103-135, 151-191, 213-263, 268-284, 288-290, 304-315
nvtabular/io/hugectr.py 45 2 24 2 91% 34, 74->97, 101
nvtabular/io/parquet.py 569 46 188 29 89% 34-35, 56, 76, 80->103, 89, 98, 123, 133->138, 151, 153, 177->181, 184-190, 232-240, 260, 266, 284->286, 299, 318-328, 370->382, 374, 496-501, 539-544, 660->667, 728->733, 734-735, 855, 859, 863, 869, 901, 918, 922, 929->931, 1039->exit, 1049->1054, 1059->1069, 1074, 1096, 1123
nvtabular/io/shuffle.py 31 6 16 5 77% 42, 44-45, 49, 59, 63
nvtabular/io/writer.py 175 13 68 5 92% 24-25, 51, 79, 125, 128, 212, 221, 224, 267, 288-290
nvtabular/io/writer_factory.py 18 2 8 2 85% 35, 60
nvtabular/loader/init.py 0 0 0 0 100%
nvtabular/loader/backend.py 330 13 140 11 95% 111, 143-144, 242->244, 254-258, 304-305, 344->348, 345->344, 419, 423-424, 454, 559, 567
nvtabular/loader/tensorflow.py 163 22 52 7 86% 58, 66-69, 84, 98, 308, 344, 359-361, 390-392, 402-410, 413-416
nvtabular/loader/tf_utils.py 55 10 20 5 80% 29->32, 32->34, 39->41, 43, 50-51, 58-60, 66-70
nvtabular/loader/torch.py 81 13 16 2 78% 25-27, 30-36, 111, 149-150
nvtabular/ops/init.py 22 0 0 0 100%
nvtabular/ops/add_metadata.py 9 0 0 0 100%
nvtabular/ops/bucketize.py 37 10 18 3 69% 53-55, 59->exit, 62-65, 84-87, 94
nvtabular/ops/categorify.py 622 66 332 47 86% 244, 246, 263, 267, 275, 283, 285, 312, 331-332, 359, 370->374, 378-385, 467-468, 493-494, 611, 704, 722, 758, 836-837, 852-856, 857->821, 875, 883, 890->exit, 914, 917->920, 972, 977, 999->1003, 1005->962, 1011-1014, 1026, 1030, 1032, 1039, 1044-1047, 1125, 1127, 1197->1220, 1203->1220, 1221-1226, 1263, 1282->1287, 1286, 1296->1293, 1301->1293, 1308, 1311, 1319-1329
nvtabular/ops/clip.py 18 2 6 3 79% 44, 52->54, 55
nvtabular/ops/column_similarity.py 118 25 38 5 74% 19-20, 78->exit, 108, 134, 198-199, 208-210, 218-234, 251->254, 255, 265
nvtabular/ops/data_stats.py 56 2 22 3 94% 91->93, 95, 97->87, 102
nvtabular/ops/difference_lag.py 31 1 8 1 95% 69->71, 94
nvtabular/ops/dropna.py 8 0 0 0 100%
nvtabular/ops/fill.py 91 12 36 3 82% 63-67, 93, 121, 147, 151, 162-165
nvtabular/ops/filter.py 20 1 6 1 92% 49
nvtabular/ops/groupby.py 119 3 70 4 96% 73, 84, 94->96, 106->111, 141
nvtabular/ops/hash_bucket.py 41 2 20 2 93% 72, 106->112, 118
nvtabular/ops/hashed_cross.py 36 4 15 3 86% 53, 66, 81, 91
nvtabular/ops/internal/init.py 3 0 0 0 100%
nvtabular/ops/internal/concat_columns.py 11 0 0 0 100%
nvtabular/ops/internal/identity.py 6 1 0 0 83% 42
nvtabular/ops/internal/subset_columns.py 13 1 0 0 92% 53
nvtabular/ops/join_external.py 92 18 36 7 76% 20-21, 114, 116, 118, 135-161, 177->179, 216->227, 221
nvtabular/ops/join_groupby.py 101 7 36 4 92% 108, 115, 124, 131->130, 215-216, 219-220
nvtabular/ops/lambdaop.py 39 6 18 6 79% 59, 63, 77, 89, 94, 103
nvtabular/ops/list_slice.py 66 24 26 1 58% 21-22, 53-54, 104-118, 126-137
nvtabular/ops/logop.py 13 0 0 0 100%
nvtabular/ops/moments.py 65 0 20 0 100%
nvtabular/ops/normalize.py 81 10 14 1 86% 70, 78-79, 85, 118-119, 141-142, 146, 157
nvtabular/ops/operator.py 66 1 14 1 98% 111
nvtabular/ops/rename.py 41 3 22 3 90% 47, 88-90
nvtabular/ops/stat_operator.py 8 0 0 0 100%
nvtabular/ops/target_encoding.py 153 11 66 4 91% 167->171, 175->184, 232-233, 236-237, 249-255, 346->349, 362
nvtabular/tags.py 16 0 0 0 100%
nvtabular/tools/init.py 0 0 0 0 100%
nvtabular/tools/data_gen.py 236 1 62 1 99% 321
nvtabular/tools/dataset_inspector.py 50 7 18 1 79% 32-39
nvtabular/tools/inspector_script.py 46 46 0 0 0% 17-168
nvtabular/utils.py 106 43 48 8 54% 31-32, 36-37, 50, 61-62, 64-66, 69, 72, 78, 84, 90-126, 145, 149->153
nvtabular/worker.py 82 5 38 7 90% 24-25, 82->99, 91, 92->99, 99->102, 108, 110, 111->113
nvtabular/workflow/init.py 2 0 0 0 100%
nvtabular/workflow/node.py 240 18 116 10 89% 55, 93->98, 146, 248->252, 288, 302, 311, 329-334, 339, 388-389, 400->395, 453-458
nvtabular/workflow/workflow.py 221 15 112 7 93% 28-29, 47, 139, 195, 222-224, 332, 347-348, 366-367, 502, 514

TOTAL 7704 1591 3127 348 77%
Coverage XML written to file coverage.xml

Required test coverage of 70% reached. Total coverage: 76.59%
=========================== short test summary info ============================
SKIPPED [1] ../../../../../usr/local/lib/python3.8/dist-packages/dask_cudf/io/tests/test_s3.py:16: could not import 's3fs': No module named 's3fs'
SKIPPED [8] tests/unit/test_io.py:578: could not import 'uavro': No module named 'uavro'
SKIPPED [2] tests/unit/test_io.py:937: Dask>=2021.07.1 required for file aggregation
SKIPPED [1] tests/unit/loader/test_tf_dataloader.py:521: not working correctly in ci environment
========= 1527 passed, 12 skipped, 771 warnings in 2583.56s (0:43:03) ==========
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://github.com/gitapi/repos/NVIDIA/NVTabular/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[nvtabular_tests] $ /bin/bash /tmp/jenkins3399599342390648629.sh

@rjzamora
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I have confirmed that this PR is back to ~15 mins on the dask-criteo benchmark with 8 GPUs on GCP (and barely over 2 mins when reading from NVMe)

Reading from GCS on GCP:

Dask-NVTabular DLRM/Criteo benchmark
--------------------------------------
partition size     | 5313159168
protocol           | tcp
device(s)          | 0,1,2,3,4,5,6,7
rmm-pool-frac      | 0.85
out-files-per-proc | 3
num_io_threads     | 0
shuffle            | PER_PARTITION
cats-on-device     | False
======================================
Runtime[s]         | 912.0400369167328
======================================

Reading from NVMe on a DGX-1:

Dask-NVTabular DLRM/Criteo benchmark
--------------------------------------
partition size     | 4261216256
protocol           | tcp
device(s)          | 0,1,2,3,4,5,6,7
rmm-pool-frac      | 0.8
out-files-per-proc | 3
num_io_threads     | 0
shuffle            | PER_PARTITION
cats-on-device     | False
======================================
Runtime[s]         | 126.32316994667053
======================================

This PR also fixes a small bug from #1127 that results in the reading of every partition in the dataset when infer_schema is called - See problematic task-stream screenshot below (where fit hasn't even started after >1 min):

Screen Shot 2021-09-21 at 10 05 47 PM

@nvidia-merlin-bot
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GitHub pull request #1119 of commit 413fcc4ac43cf9e0d7baa4fb269c6cb9d61c0330, no merge conflicts.
Running as SYSTEM
Setting status of 413fcc4ac43cf9e0d7baa4fb269c6cb9d61c0330 to PENDING with url http://10.20.13.93:8080/job/nvtabular_tests/3530/ and message: 'Pending'
Using context: Jenkins Unit Test Run
Building in workspace /var/jenkins_home/workspace/nvtabular_tests
using credential nvidia-merlin-bot
Cloning the remote Git repository
Cloning repository https://github.com/NVIDIA/NVTabular.git
 > git init /var/jenkins_home/workspace/nvtabular_tests/nvtabular # timeout=10
Fetching upstream changes from https://github.com/NVIDIA/NVTabular.git
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA/NVTabular.git +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/NVIDIA/NVTabular.git # timeout=10
 > git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/NVIDIA/NVTabular.git # timeout=10
Fetching upstream changes from https://github.com/NVIDIA/NVTabular.git
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA/NVTabular.git +refs/pull/1119/*:refs/remotes/origin/pr/1119/* # timeout=10
 > git rev-parse 413fcc4ac43cf9e0d7baa4fb269c6cb9d61c0330^{commit} # timeout=10
Checking out Revision 413fcc4ac43cf9e0d7baa4fb269c6cb9d61c0330 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 413fcc4ac43cf9e0d7baa4fb269c6cb9d61c0330 # timeout=10
Commit message: "remove py import and usage"
 > git rev-list --no-walk 1eeba17586774919f5b95273c4b3ae928e9f6d01 # timeout=10
[nvtabular_tests] $ /bin/bash /tmp/jenkins4831768939484573039.sh
Installing NVTabular
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: pip in /var/jenkins_home/.local/lib/python3.8/site-packages (21.2.4)
Requirement already satisfied: setuptools in /var/jenkins_home/.local/lib/python3.8/site-packages (58.0.4)
Collecting setuptools
  Downloading setuptools-58.1.0-py3-none-any.whl (816 kB)
Requirement already satisfied: wheel in /var/jenkins_home/.local/lib/python3.8/site-packages (0.37.0)
Requirement already satisfied: pybind11 in /var/jenkins_home/.local/lib/python3.8/site-packages (2.7.1)
Installing collected packages: setuptools
  Attempting uninstall: setuptools
    Found existing installation: setuptools 58.0.4
    Uninstalling setuptools-58.0.4:
      Successfully uninstalled setuptools-58.0.4
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.
pytorch-lightning 1.4.6 requires torchmetrics>=0.4.0, but you have torchmetrics 0.3.2 which is incompatible.
dask-cudf 21.8.2 requires dask<=2021.07.1,>=2021.6.0, but you have dask 2021.4.1 which is incompatible.
dask-cudf 21.8.2 requires distributed<=2021.07.1,>=2021.6.0, but you have distributed 2021.4.1 which is incompatible.
Successfully installed setuptools-58.1.0
running develop
running egg_info
creating nvtabular.egg-info
writing nvtabular.egg-info/PKG-INFO
writing dependency_links to nvtabular.egg-info/dependency_links.txt
writing requirements to nvtabular.egg-info/requires.txt
writing top-level names to nvtabular.egg-info/top_level.txt
writing manifest file 'nvtabular.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
warning: no files found matching '*.h' under directory 'cpp'
warning: no files found matching '*.cu' under directory 'cpp'
warning: no files found matching '*.cuh' under directory 'cpp'
adding license file 'LICENSE'
writing manifest file 'nvtabular.egg-info/SOURCES.txt'
running build_ext
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/python3.8 -c flagcheck.cpp -o flagcheck.o -std=c++17
building 'nvtabular_cpp' extension
creating build
creating build/temp.linux-x86_64-3.8
creating build/temp.linux-x86_64-3.8/cpp
creating build/temp.linux-x86_64-3.8/cpp/nvtabular
creating build/temp.linux-x86_64-3.8/cpp/nvtabular/inference
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+111.g413fcc4 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/__init__.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/__init__.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+111.g413fcc4 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/__init__.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/__init__.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+111.g413fcc4 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/categorify.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/categorify.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DVERSION_INFO=0.6.0+111.g413fcc4 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/fill.cc -o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/fill.o -std=c++17 -fvisibility=hidden -g0
creating build/lib.linux-x86_64-3.8
x86_64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.8/cpp/nvtabular/__init__.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/__init__.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/categorify.o build/temp.linux-x86_64-3.8/cpp/nvtabular/inference/fill.o -o build/lib.linux-x86_64-3.8/nvtabular_cpp.cpython-38-x86_64-linux-gnu.so
copying build/lib.linux-x86_64-3.8/nvtabular_cpp.cpython-38-x86_64-linux-gnu.so -> 
Generating nvtabular/inference/triton/model_config_pb2.py from nvtabular/inference/triton/model_config.proto
Creating /var/jenkins_home/.local/lib/python3.8/site-packages/nvtabular.egg-link (link to .)
nvtabular 0.6.0+111.g413fcc4 is already the active version in easy-install.pth

Installed /var/jenkins_home/workspace/nvtabular_tests/nvtabular
Processing dependencies for nvtabular==0.6.0+111.g413fcc4
Searching for protobuf==3.17.3
Best match: protobuf 3.17.3
Adding protobuf 3.17.3 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for tensorflow-metadata==1.2.0
Best match: tensorflow-metadata 1.2.0
Processing tensorflow_metadata-1.2.0-py3.8.egg
tensorflow-metadata 1.2.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tensorflow_metadata-1.2.0-py3.8.egg
Searching for pyarrow==4.0.1
Best match: pyarrow 4.0.1
Adding pyarrow 4.0.1 to easy-install.pth file
Installing plasma_store script to /var/jenkins_home/.local/bin

Using /usr/local/lib/python3.8/dist-packages
Searching for tqdm==4.61.2
Best match: tqdm 4.61.2
Processing tqdm-4.61.2-py3.8.egg
tqdm 4.61.2 is already the active version in easy-install.pth
Installing tqdm script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tqdm-4.61.2-py3.8.egg
Searching for numba==0.54.0
Best match: numba 0.54.0
Processing numba-0.54.0-py3.8-linux-x86_64.egg
numba 0.54.0 is already the active version in easy-install.pth
Installing pycc script to /var/jenkins_home/.local/bin
Installing numba script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/numba-0.54.0-py3.8-linux-x86_64.egg
Searching for pandas==1.2.5
Best match: pandas 1.2.5
Processing pandas-1.2.5-py3.8-linux-x86_64.egg
pandas 1.2.5 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg
Searching for distributed==2021.4.1
Best match: distributed 2021.4.1
Processing distributed-2021.4.1-py3.8.egg
distributed 2021.4.1 is already the active version in easy-install.pth
Installing dask-ssh script to /var/jenkins_home/.local/bin
Installing dask-scheduler script to /var/jenkins_home/.local/bin
Installing dask-worker script to /var/jenkins_home/.local/bin

Using /var/jenkins_home/.local/lib/python3.8/site-packages/distributed-2021.4.1-py3.8.egg
Searching for dask==2021.4.1
Best match: dask 2021.4.1
Processing dask-2021.4.1-py3.8.egg
dask 2021.4.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/dask-2021.4.1-py3.8.egg
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Best match: PyYAML 5.4.1
Processing PyYAML-5.4.1-py3.8-linux-x86_64.egg
PyYAML 5.4.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg
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Adding six 1.15.0 to easy-install.pth file

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googleapis-common-protos 1.53.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/googleapis_common_protos-1.53.0-py3.8.egg
Searching for absl-py==0.12.0
Best match: absl-py 0.12.0
Processing absl_py-0.12.0-py3.8.egg
absl-py 0.12.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/absl_py-0.12.0-py3.8.egg
Searching for numpy==1.20.2
Best match: numpy 1.20.2
Adding numpy 1.20.2 to easy-install.pth file
Installing f2py script to /var/jenkins_home/.local/bin
Installing f2py3 script to /var/jenkins_home/.local/bin
Installing f2py3.8 script to /var/jenkins_home/.local/bin

Using /usr/local/lib/python3.8/dist-packages
Searching for setuptools==58.1.0
Best match: setuptools 58.1.0
Adding setuptools 58.1.0 to easy-install.pth file

Using /var/jenkins_home/.local/lib/python3.8/site-packages
Searching for llvmlite==0.37.0
Best match: llvmlite 0.37.0
Processing llvmlite-0.37.0-py3.8-linux-x86_64.egg
llvmlite 0.37.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/llvmlite-0.37.0-py3.8-linux-x86_64.egg
Searching for pytz==2021.1
Best match: pytz 2021.1
Adding pytz 2021.1 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for python-dateutil==2.8.2
Best match: python-dateutil 2.8.2
Adding python-dateutil 2.8.2 to easy-install.pth file

Using /usr/local/lib/python3.8/dist-packages
Searching for zict==2.0.0
Best match: zict 2.0.0
Processing zict-2.0.0-py3.8.egg
zict 2.0.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg
Searching for tornado==6.1
Best match: tornado 6.1
Processing tornado-6.1-py3.8-linux-x86_64.egg
tornado 6.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg
Searching for toolz==0.11.1
Best match: toolz 0.11.1
Processing toolz-0.11.1-py3.8.egg
toolz 0.11.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/toolz-0.11.1-py3.8.egg
Searching for tblib==1.7.0
Best match: tblib 1.7.0
Processing tblib-1.7.0-py3.8.egg
tblib 1.7.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg
Searching for sortedcontainers==2.4.0
Best match: sortedcontainers 2.4.0
Processing sortedcontainers-2.4.0-py3.8.egg
sortedcontainers 2.4.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg
Searching for psutil==5.8.0
Best match: psutil 5.8.0
Processing psutil-5.8.0-py3.8-linux-x86_64.egg
psutil 5.8.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg
Searching for msgpack==1.0.2
Best match: msgpack 1.0.2
Processing msgpack-1.0.2-py3.8-linux-x86_64.egg
msgpack 1.0.2 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/msgpack-1.0.2-py3.8-linux-x86_64.egg
Searching for cloudpickle==1.6.0
Best match: cloudpickle 1.6.0
Processing cloudpickle-1.6.0-py3.8.egg
cloudpickle 1.6.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/cloudpickle-1.6.0-py3.8.egg
Searching for click==8.0.1
Best match: click 8.0.1
Processing click-8.0.1-py3.8.egg
click 8.0.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/click-8.0.1-py3.8.egg
Searching for partd==1.2.0
Best match: partd 1.2.0
Processing partd-1.2.0-py3.8.egg
partd 1.2.0 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg
Searching for fsspec==2021.8.1
Best match: fsspec 2021.8.1
Processing fsspec-2021.8.1-py3.8.egg
fsspec 2021.8.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/fsspec-2021.8.1-py3.8.egg
Searching for HeapDict==1.0.1
Best match: HeapDict 1.0.1
Processing HeapDict-1.0.1-py3.8.egg
HeapDict 1.0.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg
Searching for locket==0.2.1
Best match: locket 0.2.1
Processing locket-0.2.1-py3.8.egg
locket 0.2.1 is already the active version in easy-install.pth

Using /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg
Finished processing dependencies for nvtabular==0.6.0+111.g413fcc4
Running black --check
All done! ✨ 🍰 ✨
129 files would be left unchanged.
Running flake8
Running isort
Skipped 2 files
Running bandit
Running pylint
************* Module nvtabular.ops.categorify
nvtabular/ops/categorify.py:497:15: I1101: Module 'nvtabular_cpp' has no 'inference' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member)
************* Module nvtabular.ops.fill
nvtabular/ops/fill.py:67:15: I1101: Module 'nvtabular_cpp' has no 'inference' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member)


Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00)

Running flake8-nb
Building docs
make: Entering directory '/var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs'
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.6) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document
warn("Container node skipped: type={0}".format(mdnode.t))
make: Leaving directory '/var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs'
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-6.2.5, py-1.10.0, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/nvtabular_tests/nvtabular, configfile: pyproject.toml
plugins: cov-2.12.1, forked-1.3.0, xdist-2.3.0
collected 1538 items / 1 skipped / 1537 selected

tests/unit/test_dask_nvt.py ............................................ [ 2%]
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tests/unit/test_io.py .................................................. [ 10%]
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.................ssssssss............................................... [ 19%]
......ss [ 20%]
tests/unit/test_notebooks.py ...... [ 20%]
tests/unit/test_tf4rec.py . [ 20%]
tests/unit/test_tools.py ...................... [ 22%]
tests/unit/test_triton_inference.py .............................. [ 24%]
tests/unit/columns/test_column_schemas.py .............................. [ 26%]
.................................................... [ 29%]
tests/unit/columns/test_column_selector.py .................... [ 30%]
tests/unit/framework_utils/test_tf_feature_columns.py . [ 31%]
tests/unit/framework_utils/test_tf_layers.py ........................... [ 32%]
................................................... [ 36%]
tests/unit/framework_utils/test_torch_layers.py . [ 36%]
tests/unit/loader/test_dataloader_backend.py .. [ 36%]
tests/unit/loader/test_tf_dataloader.py ................................ [ 38%]
........................................s.. [ 41%]
tests/unit/loader/test_torch_dataloader.py ............................. [ 43%]
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tests/unit/ops/test_column_similarity.py ........................ [ 48%]
tests/unit/ops/test_ops.py ............................................. [ 51%]
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tests/unit/ops/test_ops_schema.py ...................................... [ 80%]
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tests/unit/workflow/test_cpu_workflow.py ...... [ 91%]
tests/unit/workflow/test_workflow.py ................................... [ 93%]
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tests/unit/workflow/test_workflow_node.py ........... [ 98%]
tests/unit/workflow/test_workflow_ops.py .. [ 98%]
tests/unit/workflow/test_workflow_schemas.py ....................... [100%]

=============================== warnings summary ===============================
tests/unit/test_dask_nvt.py: 3 warnings
tests/unit/test_io.py: 24 warnings
tests/unit/test_tf4rec.py: 2 warnings
tests/unit/test_tools.py: 2 warnings
tests/unit/test_triton_inference.py: 5 warnings
tests/unit/loader/test_tf_dataloader.py: 50 warnings
tests/unit/loader/test_torch_dataloader.py: 16 warnings
tests/unit/ops/test_column_similarity.py: 7 warnings
tests/unit/ops/test_ops.py: 74 warnings
tests/unit/workflow/test_workflow.py: 31 warnings
tests/unit/workflow/test_workflow_node.py: 1 warning
tests/unit/workflow/test_workflow_schemas.py: 1 warning
/var/jenkins_home/.local/lib/python3.8/site-packages/numba-0.54.0-py3.8-linux-x86_64.egg/numba/cuda/compiler.py:865: NumbaPerformanceWarning: �[1mGrid size (1) < 2 * SM count (112) will likely result in GPU under utilization due to low occupancy.�[0m
warn(NumbaPerformanceWarning(msg))

tests/unit/test_io.py: 96 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/init.py:38: DeprecationWarning: ColumnGroup is deprecated, use ColumnSelector instead
warnings.warn("ColumnGroup is deprecated, use ColumnSelector instead", DeprecationWarning)

tests/unit/test_io.py: 24 warnings
tests/unit/loader/test_torch_dataloader.py: 54 warnings
tests/unit/workflow/test_workflow_node.py: 1 warning
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/workflow/node.py:47: FutureWarning: The ["a", "b", "c"] >> ops.Operator syntax for creating a ColumnGroup has been deprecated in NVTabular 21.09 and will be removed in a future version.
warnings.warn(

tests/unit/test_io.py: 36 warnings
tests/unit/workflow/test_workflow.py: 44 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/workflow/workflow.py:89: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler will be used for execution. Please use the client argument to initialize a Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/test_io.py: 52 warnings
tests/unit/workflow/test_workflow.py: 35 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/io/dask.py:372: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler will be used for this write operation. Please use the client argument to initialize a Dataset and/or Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/test_io.py: 36 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/io/dataset.py:516: UserWarning: A global dask.distributed client has been detected, but the single-threaded scheduler is being used for this shuffle operation. Please use the client argument to initialize a Dataset and/or Workflow object with distributed-execution enabled.
warnings.warn(

tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-parquet-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-parquet-0.1]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-0.1]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-no-header-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-no-header-0.1]
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/fill.py:125: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[f"{col}_filled"] = df[col].isna()

tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-parquet-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-parquet-0.1]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-0.1]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-no-header-0.01]
tests/unit/ops/test_ops.py::test_fill_median[True-True-op_columns1-csv-no-header-0.1]
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/fill.py:126: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[col] = df[col].fillna(self.medians[col])

tests/unit/ops/test_ops.py::test_fill_missing[True-True-parquet]
tests/unit/ops/test_ops.py::test_fill_missing[True-False-parquet]
tests/unit/ops/test_ops.py::test_filter[parquet-0.1-True]
/var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg/pandas/core/indexing.py:1637: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
self._setitem_single_block(indexer, value, name)

tests/unit/ops/test_ops.py::test_fill_missing[True-True-parquet]
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/fill.py:54: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[f"{col}_filled"] = df[col].isna()

tests/unit/ops/test_ops.py::test_fill_missing[True-True-parquet]
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/fill.py:55: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[col] = df[col].fillna(self.fill_val)

tests/unit/ops/test_ops.py: 80 warnings
/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/join_external.py:191: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[tmp] = _arange(len(df), like_df=df, dtype="int32")

tests/unit/ops/test_ops.py::test_filter[parquet-0.1-True]
tests/unit/ops/test_ops.py::test_filter[parquet-0.1-False]
tests/unit/ops/test_ops.py::test_groupby_op[id-True]
tests/unit/ops/test_ops.py::test_groupby_op[id-False]
/var/jenkins_home/.local/lib/python3.8/site-packages/dask-2021.4.1-py3.8.egg/dask/dataframe/core.py:6610: UserWarning: Insufficient elements for head. 1 elements requested, only 0 elements available. Try passing larger npartitions to head.
warnings.warn(msg.format(n, len(r)))

tests/unit/workflow/test_cpu_workflow.py: 78 warnings
/var/jenkins_home/.local/lib/python3.8/site-packages/pandas-1.2.5-py3.8-linux-x86_64.egg/pandas/core/frame.py:3191: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
self[k1] = value[k2]

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

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

examples/multi-gpu-movielens/torch_trainer.py 65 0 6 1 99% 32->36
nvtabular/init.py 18 0 0 0 100%
nvtabular/columns/init.py 2 0 0 0 100%
nvtabular/columns/schema.py 217 17 107 20 89% 46->62, 49, 51, 53-56, 58, 98->114, 106, 110, 156, 183, 269->276, 272->274, 283, 300->305, 303->305, 316, 340, 347, 356, 359, 364->363
nvtabular/columns/selector.py 74 1 34 0 99% 121
nvtabular/dispatch.py 290 55 144 23 79% 36-40, 45-47, 53-63, 70-71, 114-116, 121-124, 128-133, 140, 159, 170, 176, 181->183, 194, 217-220, 259->261, 268, 271, 277, 293, 300, 331->336, 334, 337, 340->344, 377, 388-391, 417-420, 450, 454, 495, 519, 521, 528
nvtabular/framework_utils/init.py 0 0 0 0 100%
nvtabular/framework_utils/tensorflow/init.py 1 0 0 0 100%
nvtabular/framework_utils/tensorflow/feature_column_utils.py 134 78 90 15 39% 30, 99, 103, 114-130, 140, 143-158, 162, 166-167, 173-198, 207-217, 220-227, 229->233, 234, 239-279, 282
nvtabular/framework_utils/tensorflow/layers/init.py 4 0 0 0 100%
nvtabular/framework_utils/tensorflow/layers/embedding.py 153 12 85 6 91% 60, 68->49, 122, 179, 231-239, 335->343, 357->360, 363-364, 367
nvtabular/framework_utils/tensorflow/layers/interaction.py 47 25 20 1 43% 49, 74-103, 106-110, 113
nvtabular/framework_utils/tensorflow/layers/outer_product.py 30 24 10 0 15% 37-38, 41-60, 71-84, 87
nvtabular/framework_utils/tensorflow/tfrecords_to_parquet.py 58 58 30 0 0% 16-111
nvtabular/framework_utils/torch/init.py 0 0 0 0 100%
nvtabular/framework_utils/torch/layers/init.py 2 0 0 0 100%
nvtabular/framework_utils/torch/layers/embeddings.py 32 2 14 2 91% 50, 91
nvtabular/framework_utils/torch/models.py 45 1 28 4 93% 57->61, 87->89, 93->96, 103
nvtabular/framework_utils/torch/utils.py 75 5 30 5 90% 51->53, 64, 71->76, 75, 118-120
nvtabular/inference/init.py 0 0 0 0 100%
nvtabular/inference/triton/init.py 385 210 180 13 45% 82-86, 141-174, 195-218, 263-307, 338, 364-372, 380-387, 406, 428-444, 485-489, 527-537, 583-623, 629-645, 649-716, 723->726, 726->722, 762-772, 781, 791, 812, 818-844, 850-876, 883, 889->892, 893
nvtabular/inference/triton/benchmarking_tools.py 52 52 10 0 0% 2-103
nvtabular/inference/triton/data_conversions.py 87 3 58 4 95% 32-33, 84
nvtabular/inference/triton/model.py 176 176 98 0 0% 27-332
nvtabular/inference/triton/model_config_pb2.py 299 0 2 0 100%
nvtabular/inference/triton/model_pt.py 101 101 40 0 0% 27-220
nvtabular/io/init.py 4 0 0 0 100%
nvtabular/io/avro.py 88 88 30 0 0% 16-189
nvtabular/io/csv.py 57 6 20 5 86% 22-23, 99, 103->107, 108, 110, 124
nvtabular/io/dask.py 183 18 72 11 87% 111, 114, 150, 235-246, 398, 408, 425->428, 436, 440->442, 442->438, 447, 449
nvtabular/io/dataframe_engine.py 61 5 28 6 88% 19-20, 50, 69, 88->92, 92->97, 94->97, 97->116, 125
nvtabular/io/dataset.py 359 77 170 27 75% 47-48, 264, 266, 279, 304-318, 441->515, 446-449, 455-462, 467-511, 515->524, 575-576, 577->581, 624, 746, 748, 750, 756, 760-762, 764, 824-825, 852, 859-860, 866, 872, 968-969, 1086-1091, 1097, 1109-1110, 1187, 1196
nvtabular/io/dataset_engine.py 31 1 4 0 97% 48
nvtabular/io/fsspec_utils.py 117 103 64 0 8% 26-27, 42-98, 103-135, 151-191, 213-263, 268-284, 288-290, 304-315
nvtabular/io/hugectr.py 45 2 24 2 91% 34, 74->97, 101
nvtabular/io/parquet.py 569 46 188 29 89% 34-35, 56, 76, 80->103, 89, 98, 123, 133->138, 151, 153, 177->181, 184-190, 232-240, 260, 266, 284->286, 299, 318-328, 370->382, 374, 496-501, 539-544, 660->667, 728->733, 734-735, 855, 859, 863, 869, 901, 918, 922, 929->931, 1039->exit, 1049->1054, 1059->1069, 1074, 1096, 1123
nvtabular/io/shuffle.py 31 6 16 5 77% 42, 44-45, 49, 59, 63
nvtabular/io/writer.py 175 13 68 5 92% 24-25, 51, 79, 125, 128, 212, 221, 224, 267, 288-290
nvtabular/io/writer_factory.py 18 2 8 2 85% 35, 60
nvtabular/loader/init.py 0 0 0 0 100%
nvtabular/loader/backend.py 330 13 140 11 95% 128, 143-144, 242->244, 254-258, 304-305, 344->348, 345->344, 419, 423-424, 454, 559, 567
nvtabular/loader/tensorflow.py 163 22 52 7 86% 58, 66-69, 84, 98, 308, 344, 359-361, 390-392, 402-410, 413-416
nvtabular/loader/tf_utils.py 55 10 20 5 80% 29->32, 32->34, 39->41, 43, 50-51, 58-60, 66-70
nvtabular/loader/torch.py 81 13 16 2 78% 25-27, 30-36, 111, 149-150
nvtabular/ops/init.py 22 0 0 0 100%
nvtabular/ops/add_metadata.py 9 0 0 0 100%
nvtabular/ops/bucketize.py 37 10 18 3 69% 53-55, 59->exit, 62-65, 84-87, 94
nvtabular/ops/categorify.py 622 66 332 47 86% 244, 246, 263, 267, 275, 283, 285, 312, 331-332, 359, 370->374, 378-385, 467-468, 493-494, 611, 704, 722, 758, 836-837, 852-856, 857->821, 875, 883, 890->exit, 914, 917->920, 972, 977, 999->1003, 1005->962, 1011-1014, 1026, 1030, 1032, 1039, 1044-1047, 1125, 1127, 1197->1220, 1203->1220, 1221-1226, 1263, 1282->1287, 1286, 1296->1293, 1301->1293, 1308, 1311, 1319-1329
nvtabular/ops/clip.py 18 2 6 3 79% 44, 52->54, 55
nvtabular/ops/column_similarity.py 118 25 38 5 74% 19-20, 78->exit, 108, 134, 198-199, 208-210, 218-234, 251->254, 255, 265
nvtabular/ops/data_stats.py 56 2 22 3 94% 91->93, 95, 97->87, 102
nvtabular/ops/difference_lag.py 31 1 8 1 95% 69->71, 94
nvtabular/ops/dropna.py 8 0 0 0 100%
nvtabular/ops/fill.py 91 12 36 3 82% 63-67, 93, 121, 147, 151, 162-165
nvtabular/ops/filter.py 20 1 6 1 92% 49
nvtabular/ops/groupby.py 119 3 70 4 96% 73, 84, 94->96, 106->111, 141
nvtabular/ops/hash_bucket.py 41 2 20 2 93% 72, 106->112, 118
nvtabular/ops/hashed_cross.py 36 4 15 3 86% 53, 66, 81, 91
nvtabular/ops/internal/init.py 3 0 0 0 100%
nvtabular/ops/internal/concat_columns.py 11 0 0 0 100%
nvtabular/ops/internal/identity.py 6 1 0 0 83% 42
nvtabular/ops/internal/subset_columns.py 13 1 0 0 92% 53
nvtabular/ops/join_external.py 92 18 36 7 76% 20-21, 114, 116, 118, 135-161, 177->179, 216->227, 221
nvtabular/ops/join_groupby.py 101 7 36 4 92% 108, 115, 124, 131->130, 215-216, 219-220
nvtabular/ops/lambdaop.py 39 6 18 6 79% 59, 63, 77, 89, 94, 103
nvtabular/ops/list_slice.py 66 24 26 1 58% 21-22, 53-54, 104-118, 126-137
nvtabular/ops/logop.py 13 0 0 0 100%
nvtabular/ops/moments.py 65 0 20 0 100%
nvtabular/ops/normalize.py 81 10 14 1 86% 70, 78-79, 85, 118-119, 141-142, 146, 157
nvtabular/ops/operator.py 66 1 14 1 98% 111
nvtabular/ops/rename.py 41 3 22 3 90% 47, 88-90
nvtabular/ops/stat_operator.py 8 0 0 0 100%
nvtabular/ops/target_encoding.py 153 11 66 4 91% 167->171, 175->184, 232-233, 236-237, 249-255, 346->349, 362
nvtabular/tags.py 16 0 0 0 100%
nvtabular/tools/init.py 0 0 0 0 100%
nvtabular/tools/data_gen.py 236 1 62 1 99% 321
nvtabular/tools/dataset_inspector.py 50 7 18 1 79% 32-39
nvtabular/tools/inspector_script.py 46 46 0 0 0% 17-168
nvtabular/utils.py 106 43 48 8 54% 31-32, 36-37, 50, 61-62, 64-66, 69, 72, 78, 84, 90-126, 145, 149->153
nvtabular/worker.py 82 5 38 7 90% 24-25, 82->99, 91, 92->99, 99->102, 108, 110, 111->113
nvtabular/workflow/init.py 2 0 0 0 100%
nvtabular/workflow/node.py 240 18 116 10 89% 55, 93->98, 146, 248->252, 288, 302, 311, 329-334, 339, 388-389, 400->395, 453-458
nvtabular/workflow/workflow.py 221 15 112 7 93% 28-29, 47, 139, 195, 222-224, 332, 347-348, 366-367, 502, 514

TOTAL 7699 1590 3123 347 77%
Coverage XML written to file coverage.xml

Required test coverage of 70% reached. Total coverage: 76.58%
=========================== short test summary info ============================
SKIPPED [1] ../../../../../usr/local/lib/python3.8/dist-packages/dask_cudf/io/tests/test_s3.py:16: could not import 's3fs': No module named 's3fs'
SKIPPED [8] tests/unit/test_io.py:578: could not import 'uavro': No module named 'uavro'
SKIPPED [2] tests/unit/test_io.py:937: Dask>=2021.07.1 required for file aggregation
SKIPPED [1] tests/unit/loader/test_tf_dataloader.py:521: not working correctly in ci environment
========= 1527 passed, 12 skipped, 773 warnings in 1901.14s (0:31:41) ==========
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://github.com/gitapi/repos/NVIDIA/NVTabular/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[nvtabular_tests] $ /bin/bash /tmp/jenkins8584379713730108634.sh

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