Commit 9dcc7a15 authored by flyingdown's avatar flyingdown
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init v0.10.0

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#!/usr/bin/env bash
unset PYTORCH_VERSION
# For unittest, nightly PyTorch is used as the following section,
# so no need to set PYTORCH_VERSION.
# In fact, keeping PYTORCH_VERSION forces us to hardcode PyTorch version in config.
set -ex
root_dir="$(git rev-parse --show-toplevel)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
this_dir="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
cd "${root_dir}"
# 0. Activate conda env
eval "$("${conda_dir}/Scripts/conda.exe" 'shell.bash' 'hook')"
conda activate "${env_dir}"
source "$this_dir/set_cuda_envs.sh"
# 1. Install PyTorch
if [ -z "${CUDA_VERSION:-}" ] ; then
cudatoolkit="cpuonly"
else
version="$(python -c "print('.'.join(\"${CUDA_VERSION}\".split('.')[:2]))")"
cudatoolkit="cudatoolkit=${version}"
fi
printf "Installing PyTorch with %s\n" "${cudatoolkit}"
conda install -y -c "pytorch-${UPLOAD_CHANNEL}" -c conda-forge "pytorch-${UPLOAD_CHANNEL}"::pytorch "${cudatoolkit}" pytest
torch_cuda=$(python -c "import torch; print(torch.cuda.is_available())")
echo torch.cuda.is_available is $torch_cuda
if [ ! -z "${CUDA_VERSION:-}" ] ; then
if [ "$torch_cuda" == "False" ]; then
echo "torch with cuda installed but torch.cuda.is_available() is False"
exit 1
fi
fi
# 2. Install torchaudio
printf "* Installing torchaudio\n"
git submodule update --init --recursive
"$root_dir/packaging/vc_env_helper.bat" python setup.py install
# 3. Install Test tools
printf "* Installing test tools\n"
NUMBA_DEV_CHANNEL=""
if [[ "$(python --version)" = *3.9* ]]; then
# Numba isn't available for Python 3.9 except on the numba dev channel and building from source fails
# See https://github.com/librosa/librosa/issues/1270#issuecomment-759065048
NUMBA_DEV_CHANNEL="-c numba/label/dev"
fi
# Note: installing librosa via pip fail because it will try to compile numba.
(
set -x
conda install -y -c conda-forge ${NUMBA_DEV_CHANNEL} 'librosa>=0.8.0' parameterized 'requests>=2.20'
pip install kaldi-io SoundFile coverage pytest pytest-cov scipy transformers expecttest unidecode inflect
)
# Install fairseq
git clone https://github.com/pytorch/fairseq
cd fairseq
git checkout e47a4c8
pip install .
start /wait "" "%miniconda_exe%" /S /InstallationType=JustMe /RegisterPython=0 /AddToPath=0 /D=%tmp_conda%
#!/usr/bin/env bash
set -ex
eval "$(./conda/Scripts/conda.exe 'shell.bash' 'hook')"
conda activate ./env
this_dir="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
source "$this_dir/set_cuda_envs.sh"
python -m torch.utils.collect_env
cd test
pytest --cov=torchaudio --junitxml=../test-results/junit.xml -v --durations 20 torchaudio_unittest
coverage html
#!/usr/bin/env bash
set -ex
echo CU_VERSION is "${CU_VERSION}"
echo CUDA_VERSION is "${CUDA_VERSION}"
# Currenly, CU_VERSION and CUDA_VERSION are not consistent.
# to understand this code, please checck out https://github.com/pytorch/vision/issues/4443
version="cpu"
if [[ ! -z "${CUDA_VERSION}" ]] ; then
version="$CUDA_VERSION"
else
if [[ ${#CU_VERSION} -eq 5 ]]; then
version="${CU_VERSION:2:2}.${CU_VERSION:4:1}"
fi
fi
# Don't use if [[ "$version" == "cpu" ]]; then exit 0 fi.
# It would exit the shell. One result is cpu tests would not run if the shell exit.
# Unless there's an error, Don't exit.
if [[ "$version" != "cpu" ]]; then
# set cuda envs
export PATH="/c/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v${version}/bin:/c/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v${version}/libnvvp:$PATH"
export CUDA_PATH_V${version/./_}="C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v${version}"
export CUDA_PATH="C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v${version}"
if [ ! -d "$CUDA_PATH" ]
then
echo "$CUDA_PATH" does not exist
exit 1
fi
# check cuda driver version
for path in '/c/Program Files/NVIDIA Corporation/NVSMI/nvidia-smi.exe' /c/Windows/System32/nvidia-smi.exe; do
if [[ -x "$path" ]]; then
"$path" || echo "true";
break
fi
done
which nvcc
nvcc --version
env | grep CUDA
fi
#!/usr/bin/env bash
# This script is for setting up environment in which unit test is ran.
# To speed up the CI time, the resulting environment is cached.
#
# Do not install PyTorch and torchaudio here, otherwise they also get cached.
set -e
this_dir="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
root_dir="$(git rev-parse --show-toplevel)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
cd "${root_dir}"
# 1. Install conda at ./conda
if [ ! -d "${conda_dir}" ]; then
printf "* Installing conda\n"
export tmp_conda="$(echo $conda_dir | tr '/' '\\')"
export miniconda_exe="$(echo $root_dir | tr '/' '\\')\\miniconda.exe"
curl --silent --output miniconda.exe https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe -O
"$this_dir/install_conda.bat"
unset tmp_conda
unset miniconda_exe
eval "$("${conda_dir}/Scripts/conda.exe" 'shell.bash' 'hook')"
conda update --quiet -y conda
printf "* Updating the base Python version to %s\n" "${PYTHON_VERSION}"
conda install --quiet -y python="$PYTHON_VERSION"
else
eval "$("${conda_dir}/Scripts/conda.exe" 'shell.bash' 'hook')"
fi
# 2. Create test environment at ./env
if [ ! -d "${env_dir}" ]; then
printf "* Creating a test environment with PYTHON_VERSION=%s\n" "${PYTHON_VERSION}"
conda create --prefix "${env_dir}" -y python="${PYTHON_VERSION}"
fi
conda activate "${env_dir}"
# 3. Install minimal build tools
pip --quiet install cmake ninja
---
AccessModifierOffset: -1
AlignAfterOpenBracket: AlwaysBreak
AlignConsecutiveAssignments: false
AlignConsecutiveDeclarations: false
AlignEscapedNewlinesLeft: true
AlignOperands: false
AlignTrailingComments: false
AllowAllParametersOfDeclarationOnNextLine: false
AllowShortBlocksOnASingleLine: false
AllowShortCaseLabelsOnASingleLine: false
AllowShortFunctionsOnASingleLine: Empty
AllowShortIfStatementsOnASingleLine: false
AllowShortLoopsOnASingleLine: false
AlwaysBreakAfterReturnType: None
AlwaysBreakBeforeMultilineStrings: true
AlwaysBreakTemplateDeclarations: true
BinPackArguments: false
BinPackParameters: false
BraceWrapping:
AfterClass: false
AfterControlStatement: false
AfterEnum: false
AfterFunction: false
AfterNamespace: false
AfterObjCDeclaration: false
AfterStruct: false
AfterUnion: false
BeforeCatch: false
BeforeElse: false
IndentBraces: false
BreakBeforeBinaryOperators: None
BreakBeforeBraces: Attach
BreakBeforeTernaryOperators: true
BreakConstructorInitializersBeforeComma: false
BreakAfterJavaFieldAnnotations: false
BreakStringLiterals: false
ColumnLimit: 80
CommentPragmas: '^ IWYU pragma:'
CompactNamespaces: false
ConstructorInitializerAllOnOneLineOrOnePerLine: true
ConstructorInitializerIndentWidth: 4
ContinuationIndentWidth: 4
Cpp11BracedListStyle: true
DerivePointerAlignment: false
DisableFormat: false
ForEachMacros: [ FOR_EACH_RANGE, FOR_EACH, ]
IncludeCategories:
- Regex: '^<.*\.h(pp)?>'
Priority: 1
- Regex: '^<.*'
Priority: 2
- Regex: '.*'
Priority: 3
IndentCaseLabels: true
IndentWidth: 2
IndentWrappedFunctionNames: false
KeepEmptyLinesAtTheStartOfBlocks: false
MacroBlockBegin: ''
MacroBlockEnd: ''
MaxEmptyLinesToKeep: 1
NamespaceIndentation: None
ObjCBlockIndentWidth: 2
ObjCSpaceAfterProperty: false
ObjCSpaceBeforeProtocolList: false
PenaltyBreakBeforeFirstCallParameter: 1
PenaltyBreakComment: 300
PenaltyBreakFirstLessLess: 120
PenaltyBreakString: 1000
PenaltyExcessCharacter: 1000000
PenaltyReturnTypeOnItsOwnLine: 2000000
PointerAlignment: Left
ReflowComments: true
SortIncludes: true
SpaceAfterCStyleCast: false
SpaceBeforeAssignmentOperators: true
SpaceBeforeParens: ControlStatements
SpaceInEmptyParentheses: false
SpacesBeforeTrailingComments: 1
SpacesInAngles: false
SpacesInContainerLiterals: true
SpacesInCStyleCastParentheses: false
SpacesInParentheses: false
SpacesInSquareBrackets: false
Standard: Cpp11
TabWidth: 8
UseTab: Never
...
---
# NOTE there must be no spaces before the '-' and check name.
# If you edit this list, please verify list of enabled check with
# clang-tidy --list-checks
InheritParentConfig: true
Checks: '
bugprone-*,
-bugprone-forward-declaration-namespace,
-bugprone-macro-parentheses,
-clang-analyzer-*,
cppcoreguidelines-*,
-cppcoreguidelines-interfaces-global-init,
-cppcoreguidelines-owning-memory,
-cppcoreguidelines-pro-bounds-array-to-pointer-decay,
-cppcoreguidelines-pro-bounds-constant-array-index,
-cppcoreguidelines-pro-bounds-pointer-arithmetic,
-cppcoreguidelines-pro-type-cstyle-cast,
-cppcoreguidelines-pro-type-reinterpret-cast,
-cppcoreguidelines-pro-type-static-cast-downcast,
-cppcoreguidelines-pro-type-union-access,
-cppcoreguidelines-pro-type-vararg,
-cppcoreguidelines-special-member-functions,
-facebook-hte-RelativeInclude,
hicpp-exception-baseclass,
hicpp-avoid-goto,
modernize-*,
-modernize-return-braced-init-list,
-modernize-use-auto,
-modernize-use-default-member-init,
-modernize-use-using,
performance-unnecessary-value-param,
'
HeaderFilterRegex: 'torchaudio/.*'
AnalyzeTemporaryDtors: false
CheckOptions:
...
[flake8]
max-line-length = 120
ignore = E305,E402,E721,E741,F405,W503,W504,F999
exclude = build,docs/source,_ext,third_party
# To exclude autogenerated files from code reviews
.circleci/config.yml linguist-generated=true
---
name: "\U0001F41B Bug Report"
about: Submit a bug report to help us improve Torchaudio
---
## 🐛 Bug
<!-- A clear and concise description of what the bug is. -->
## To Reproduce
Steps to reproduce the behavior:
1.
1.
1.
<!-- If you have a code sample, error messages, stack traces, please provide it here as well -->
## Expected behavior
<!-- A clear and concise description of what you expected to happen. -->
## Environment
- What commands did you used to install torchaudio (conda/pip/build from source)?
- If you are building from source, which commit is it?
- What does `torchaudio.__version__` print? (If applicable)
Please copy and paste the output from our
[environment collection script](https://raw.githubusercontent.com/pytorch/pytorch/master/torch/utils/collect_env.py)
(or fill out the checklist below manually).
You can get the script and run it with:
```
wget https://raw.githubusercontent.com/pytorch/pytorch/master/torch/utils/collect_env.py
# For security purposes, please check the contents of collect_env.py before running it.
python collect_env.py
```
- PyTorch Version (e.g., 1.0):
- OS (e.g., Linux):
- How you installed PyTorch (`conda`, `pip`, source):
- Build command you used (if compiling from source):
- Python version:
- CUDA/cuDNN version:
- GPU models and configuration:
- Any other relevant information:
## Additional context
<!-- Add any other context about the problem here. -->
---
name: "\U0001F4DA Documentation"
about: Report an issue related to https://pytorch.org/audio
---
## 📚 Documentation
<!-- A clear and concise description of what content in https://pytorch.org/audio is an issue. -->
---
name: "\U0001F680Feature Request"
about: Submit a proposal/request for a new Torchaudio feature
---
## 🚀 Feature
<!-- A clear and concise description of the feature proposal -->
## Motivation
<!-- Please outline the motivation for the proposal. Is your feature request related to a problem? e.g., I'm always frustrated when [...]. If this is related to another GitHub issue, please link here too -->
## Pitch
<!-- A clear and concise description of what you want to happen. -->
## Alternatives
<!-- A clear and concise description of any alternative solutions or features you've considered, if any. -->
## Additional context
<!-- Add any other context or screenshots about the feature request here. -->
---
name: "❓Questions/Help/Support"
about: Do you need support? We have resources.
---
## ❓ Questions and Help
### Please note that this issue tracker is not a help form and this issue will be closed.
We have a set of [listed resources available on the website](https://pytorch.org/resources). Our primary means of support is our discussion forum:
- [Discussion Forum](https://discuss.pytorch.org/)
tracking_issue: 736
# GitHub Actions Bandit Workflow
name: Bandit
on:
pull_request:
branches: [ main ]
workflow_dispatch:
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
# Task will fail if any high-severity issues are found
# Ignoring submodules
- name: Run Bandit Security Analysis
run: |
python -m pip install bandit
python -m bandit -r . -x ./third_party -lll
# GitHub Actions CodeQL Workflow
name: CodeQL
on:
pull_request:
branches: [ main ]
workflow_dispatch:
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Initialize CodeQL
uses: github/codeql-action/init@v1
with:
languages: python, cpp
- name: Update submodules
run: git submodule update --init --recursive
- name: Install Torch
run: |
python -m pip install cmake ninja
python -m pip install --pre torch -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
- name: Build TorchAudio
run: USE_CUDA=0 python setup.py develop --user
# If any code scanning alerts are found, they will be under Security -> CodeQL
# Link: https://github.com/pytorch/audio/security/code-scanning
- name: Perform CodeQL Analysis
uses: github/codeql-action/analyze@v1
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# temp files
~*
*.swp
# C extensions / folders
*.so
_ext/
# Distribution / packaging
.Python
env/
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
.hypothesis/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
docs/src/
# PyBuilder
target/
# Jupyter Notebook
.ipynb_checkpoints/
# pyenv
.python-version
# celery beat schedule file
celerybeat-schedule
# SageMath parsed files
*.sage.py
# dotenv
.env
# virtualenv
.venv
venv/
ENV/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# PyCharm project settings
.idea
# OSX dir files
.DS_Store
# mkdocs documentation
/site
# mypy
.mypy_cache/
# Generated Files
test/assets/sinewave.wav
torchaudio/version.py
gen.yml
# Examples
examples/interactive_asr/data/*.txt
examples/interactive_asr/data/*.model
examples/interactive_asr/data/*.pt
# third parties
third_party/install/
third_party/sox/archives/
[submodule "kaldi"]
path = third_party/kaldi/submodule
url = https://github.com/kaldi-asr/kaldi
ignore = dirty
cmake_minimum_required(VERSION 3.18 FATAL_ERROR)
# Most of the configurations are taken from PyTorch
# https://github.com/pytorch/pytorch/blob/0c9fb4aff0d60eaadb04e4d5d099fb1e1d5701a9/CMakeLists.txt
# Use compiler ID "AppleClang" instead of "Clang" for XCode.
# Not setting this sometimes makes XCode C compiler gets detected as "Clang",
# even when the C++ one is detected as "AppleClang".
cmake_policy(SET CMP0010 NEW)
cmake_policy(SET CMP0025 NEW)
# Suppress warning flags in default MSVC configuration. It's not
# mandatory that we do this (and we don't if cmake is old), but it's
# nice when it's possible, and it's possible on our Windows configs.
if(NOT CMAKE_VERSION VERSION_LESS 3.15.0)
cmake_policy(SET CMP0092 NEW)
endif()
project(torchaudio)
# check and set CMAKE_CXX_STANDARD
string(FIND "${CMAKE_CXX_FLAGS}" "-std=c++" env_cxx_standard)
if(env_cxx_standard GREATER -1)
message(
WARNING "C++ standard version definition detected in environment variable."
"PyTorch requires -std=c++14. Please remove -std=c++ settings in your environment.")
endif()
set(CMAKE_CXX_STANDARD 14)
set(CMAKE_C_STANDARD 11)
# https://developercommunity.visualstudio.com/t/VS-16100-isnt-compatible-with-CUDA-11/1433342
if(MSVC)
if(USE_CUDA)
set(CMAKE_CXX_STANDARD 17)
endif()
endif()
set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
set(CMAKE_POSITION_INDEPENDENT_CODE ON)
# Apple specific
if(APPLE)
# Get clang version on macOS
execute_process( COMMAND ${CMAKE_CXX_COMPILER} --version OUTPUT_VARIABLE clang_full_version_string )
string(REGEX REPLACE "Apple LLVM version ([0-9]+\\.[0-9]+).*" "\\1" CLANG_VERSION_STRING ${clang_full_version_string})
message( STATUS "CLANG_VERSION_STRING: " ${CLANG_VERSION_STRING} )
# RPATH stuff
set(CMAKE_MACOSX_RPATH ON)
set(CMAKE_SHARED_LIBRARY_SUFFIX ".so")
endif()
# Options
option(BUILD_SOX "Build libsox statically" ON)
option(BUILD_KALDI "Build kaldi statically" ON)
option(BUILD_RNNT "Enable RNN transducer" ON)
option(BUILD_TORCHAUDIO_PYTHON_EXTENSION "Build Python extension" OFF)
option(USE_CUDA "Enable CUDA support" OFF)
option(USE_ROCM "Enable ROCM support" OFF)
# check that USE_CUDA and USE_ROCM are not set at the same time
if(USE_CUDA AND USE_ROCM)
message(FATAL "CUDA and ROCm are mutually exclusive")
endif()
if(USE_ROCM)
# Find the HIP package, set the HIP paths, load the HIP CMake.
include(cmake/LoadHIP.cmake)
if(NOT PYTORCH_FOUND_HIP)
set(USE_ROCM OFF)
endif()
endif()
if(USE_CUDA)
enable_language(CUDA)
endif()
find_package(Torch REQUIRED)
# https://github.com/pytorch/pytorch/issues/54174
function(CUDA_CONVERT_FLAGS EXISTING_TARGET)
get_property(old_flags TARGET ${EXISTING_TARGET} PROPERTY INTERFACE_COMPILE_OPTIONS)
if(NOT "${old_flags}" STREQUAL "")
string(REPLACE ";" "," CUDA_flags "${old_flags}")
set_property(TARGET ${EXISTING_TARGET} PROPERTY INTERFACE_COMPILE_OPTIONS
"$<$<BUILD_INTERFACE:$<COMPILE_LANGUAGE:CXX>>:${old_flags}>$<$<BUILD_INTERFACE:$<COMPILE_LANGUAGE:CUDA>>:-Xcompiler=${CUDA_flags}>"
)
endif()
endfunction()
if(MSVC)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /wd4819")
if(USE_CUDA)
set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -Xcompiler=/wd4819")
foreach(diag cc_clobber_ignored integer_sign_change useless_using_declaration
set_but_not_used field_without_dll_interface
base_class_has_different_dll_interface
dll_interface_conflict_none_assumed
dll_interface_conflict_dllexport_assumed
implicit_return_from_non_void_function
unsigned_compare_with_zero
declared_but_not_referenced
bad_friend_decl)
string(APPEND CMAKE_CUDA_FLAGS " -Xcudafe --diag_suppress=${diag}")
endforeach()
CUDA_CONVERT_FLAGS(torch_cpu)
if(TARGET torch_cuda)
CUDA_CONVERT_FLAGS(torch_cuda)
endif()
if(TARGET torch_cuda_cu)
CUDA_CONVERT_FLAGS(torch_cuda_cu)
endif()
if(TARGET torch_cuda_cpp)
CUDA_CONVERT_FLAGS(torch_cuda_cpp)
endif()
endif()
endif()
# TORCH_CXX_FLAGS contains the same -D_GLIBCXX_USE_CXX11_ABI value as PyTorch
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wall ${TORCH_CXX_FLAGS}")
add_subdirectory(third_party)
add_subdirectory(torchaudio/csrc)
# Code of Conduct
## Our Pledge
In the interest of fostering an open and welcoming environment, we as
contributors and maintainers pledge to make participation in our project and
our community a harassment-free experience for everyone, regardless of age, body
size, disability, ethnicity, sex characteristics, gender identity and expression,
level of experience, education, socio-economic status, nationality, personal
appearance, race, religion, or sexual identity and orientation.
## Our Standards
Examples of behavior that contributes to creating a positive environment
include:
* Using welcoming and inclusive language
* Being respectful of differing viewpoints and experiences
* Gracefully accepting constructive criticism
* Focusing on what is best for the community
* Showing empathy towards other community members
Examples of unacceptable behavior by participants include:
* The use of sexualized language or imagery and unwelcome sexual attention or
advances
* Trolling, insulting/derogatory comments, and personal or political attacks
* Public or private harassment
* Publishing others' private information, such as a physical or electronic
address, without explicit permission
* Other conduct which could reasonably be considered inappropriate in a
professional setting
## Our Responsibilities
Project maintainers are responsible for clarifying the standards of acceptable
behavior and are expected to take appropriate and fair corrective action in
response to any instances of unacceptable behavior.
Project maintainers have the right and responsibility to remove, edit, or
reject comments, commits, code, wiki edits, issues, and other contributions
that are not aligned to this Code of Conduct, or to ban temporarily or
permanently any contributor for other behaviors that they deem inappropriate,
threatening, offensive, or harmful.
## Scope
This Code of Conduct applies within all project spaces, and it also applies when
an individual is representing the project or its community in public spaces.
Examples of representing a project or community include using an official
project e-mail address, posting via an official social media account, or acting
as an appointed representative at an online or offline event. Representation of
a project may be further defined and clarified by project maintainers.
## Enforcement
Instances of abusive, harassing, or otherwise unacceptable behavior may be
reported by contacting the project team at <conduct@pytorch.org>. All
complaints will be reviewed and investigated and will result in a response that
is deemed necessary and appropriate to the circumstances. The project team is
obligated to maintain confidentiality with regard to the reporter of an incident.
Further details of specific enforcement policies may be posted separately.
Project maintainers who do not follow or enforce the Code of Conduct in good
faith may face temporary or permanent repercussions as determined by other
members of the project's leadership.
## Attribution
This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4,
available at https://www.contributor-covenant.org/version/1/4/code-of-conduct.html
[homepage]: https://www.contributor-covenant.org
For answers to common questions about this code of conduct, see
https://www.contributor-covenant.org/faq
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