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rapidsai_public_repos/rmm
|
rapidsai_public_repos/rmm/cmake/config.json
|
{
"parse": {
"additional_commands": {
"CPMFindPackage": {
"kwargs": {
"NAME": 1,
"GITHUB_REPOSITORY": "?",
"GIT_TAG": "?",
"VERSION": "?",
"GIT_SHALLOW": "?",
"OPTIONS": "*",
"FIND_PACKAGE_ARGUMENTS": "*"
}
},
"ConfigureTest": {
"flags": ["TEST_NAME", "TEST_SRC"]
},
"ConfigureBench": {
"flags": ["BENCH_NAME", "BENCH_SRC"]
}
}
},
"format": {
"line_width": 100,
"tab_size": 2,
"command_case": "unchanged",
"max_lines_hwrap": 1,
"max_pargs_hwrap": 999
},
"lint": {
"disabled_codes": ["C0301", "C0112"],
"function_pattern": "[0-9A-z_]+",
"macro_pattern": "[0-9A-z_]+",
"global_var_pattern": "[A-z][0-9A-z_]+",
"internal_var_pattern": "_[A-z][0-9A-z_]+",
"local_var_pattern": "[A-z][A-z0-9_]+",
"private_var_pattern": "_[0-9A-z_]+",
"public_var_pattern": "[A-z][0-9A-z_]+",
"argument_var_pattern": "[A-z][A-z0-9_]+",
"keyword_pattern": "[A-z][0-9A-z_]+"
}
}
| 0 |
rapidsai_public_repos/rmm/cmake
|
rapidsai_public_repos/rmm/cmake/thirdparty/get_thrust.cmake
|
# =============================================================================
# Copyright (c) 2021, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
# in compliance with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software distributed under the License
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
# or implied. See the License for the specific language governing permissions and limitations under
# the License.
# =============================================================================
# Use CPM to find or clone thrust
function(find_and_configure_thrust)
include(${rapids-cmake-dir}/cpm/thrust.cmake)
rapids_cpm_thrust(
NAMESPACE rmm
BUILD_EXPORT_SET rmm-exports
INSTALL_EXPORT_SET rmm-exports)
endfunction()
find_and_configure_thrust()
| 0 |
rapidsai_public_repos/rmm/cmake
|
rapidsai_public_repos/rmm/cmake/thirdparty/get_spdlog.cmake
|
# =============================================================================
# Copyright (c) 2021-2023, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
# in compliance with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software distributed under the License
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
# or implied. See the License for the specific language governing permissions and limitations under
# the License.
# =============================================================================
# Use CPM to find or clone speedlog
function(find_and_configure_spdlog)
include(${rapids-cmake-dir}/cpm/spdlog.cmake)
rapids_cpm_spdlog(FMT_OPTION "EXTERNAL_FMT_HO" INSTALL_EXPORT_SET rmm-exports)
rapids_export_package(BUILD spdlog rmm-exports)
if(spdlog_ADDED)
rapids_export(
BUILD spdlog
EXPORT_SET spdlog
GLOBAL_TARGETS spdlog spdlog_header_only
NAMESPACE spdlog::)
include("${rapids-cmake-dir}/export/find_package_root.cmake")
rapids_export_find_package_root(BUILD spdlog [=[${CMAKE_CURRENT_LIST_DIR}]=]
EXPORT_SET rmm-exports)
endif()
endfunction()
find_and_configure_spdlog()
| 0 |
rapidsai_public_repos/rmm/cmake
|
rapidsai_public_repos/rmm/cmake/thirdparty/get_libcudacxx.cmake
|
# =============================================================================
# Copyright (c) 2023, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
# in compliance with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software distributed under the License
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
# or implied. See the License for the specific language governing permissions and limitations under
# the License.
# =============================================================================
# Use CPM to find or clone libcudacxx
function(find_and_configure_libcudacxx)
include(${rapids-cmake-dir}/cpm/libcudacxx.cmake)
rapids_cpm_libcudacxx(BUILD_EXPORT_SET rmm-exports INSTALL_EXPORT_SET rmm-exports)
endfunction()
find_and_configure_libcudacxx()
| 0 |
rapidsai_public_repos/rmm/cmake
|
rapidsai_public_repos/rmm/cmake/thirdparty/get_gtest.cmake
|
# =============================================================================
# Copyright (c) 2021, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
# in compliance with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software distributed under the License
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
# or implied. See the License for the specific language governing permissions and limitations under
# the License.
# =============================================================================
# Use CPM to find or clone gtest
function(find_and_configure_gtest)
include(${rapids-cmake-dir}/cpm/gtest.cmake)
rapids_cpm_gtest()
endfunction()
find_and_configure_gtest()
| 0 |
rapidsai_public_repos/rmm/cmake
|
rapidsai_public_repos/rmm/cmake/thirdparty/get_fmt.cmake
|
# =============================================================================
# Copyright (c) 2023, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
# in compliance with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software distributed under the License
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
# or implied. See the License for the specific language governing permissions and limitations under
# the License.
# =============================================================================
# Use CPM to find or clone fmt
function(find_and_configure_fmt)
include(${rapids-cmake-dir}/cpm/fmt.cmake)
rapids_cpm_fmt(INSTALL_EXPORT_SET rmm-exports BUILD_EXPORT_SET rmm-exports)
endfunction()
find_and_configure_fmt()
| 0 |
rapidsai_public_repos/rmm
|
rapidsai_public_repos/rmm/ci/test_python.sh
|
#!/bin/bash
# Copyright (c) 2020-2023, NVIDIA CORPORATION.
set -euo pipefail
rapids-logger "Create test conda environment"
. /opt/conda/etc/profile.d/conda.sh
rapids-dependency-file-generator \
--output conda \
--file_key test_python \
--matrix "cuda=${RAPIDS_CUDA_VERSION%.*};arch=$(arch);py=${RAPIDS_PY_VERSION}" | tee env.yaml
rapids-mamba-retry env create --force -f env.yaml -n test
set +u
conda activate test
set -u
rapids-print-env
rapids-logger "Downloading artifacts from previous jobs"
CPP_CHANNEL=$(rapids-download-conda-from-s3 cpp)
PYTHON_CHANNEL=$(rapids-download-conda-from-s3 python)
rapids-mamba-retry install \
--channel "${CPP_CHANNEL}" \
--channel "${PYTHON_CHANNEL}" \
rmm librmm
RAPIDS_TESTS_DIR=${RAPIDS_TESTS_DIR:-"${PWD}/test-results"}
RAPIDS_COVERAGE_DIR=${RAPIDS_COVERAGE_DIR:-"${PWD}/coverage-results"}
mkdir -p "${RAPIDS_TESTS_DIR}" "${RAPIDS_COVERAGE_DIR}"
rapids-logger "Check GPU usage"
nvidia-smi
cd python
EXITCODE=0
trap "EXITCODE=1" ERR
set +e
rapids-logger "pytest rmm"
pytest \
--cache-clear \
--junitxml="${RAPIDS_TESTS_DIR}/junit-rmm.xml" \
-v \
--cov-config=.coveragerc \
--cov=rmm \
--cov-report=xml:"${RAPIDS_COVERAGE_DIR}/rmm-coverage.xml" \
--cov-report term
rapids-logger "Test script exiting with value: $EXITCODE"
exit ${EXITCODE}
| 0 |
rapidsai_public_repos/rmm
|
rapidsai_public_repos/rmm/ci/test_cpp.sh
|
#!/bin/bash
# Copyright (c) 2020-2023, NVIDIA CORPORATION.
set -euo pipefail
. /opt/conda/etc/profile.d/conda.sh
rapids-logger "Generate C++ testing dependencies"
rapids-dependency-file-generator \
--output conda \
--file_key test_cpp \
--matrix "cuda=${RAPIDS_CUDA_VERSION%.*};arch=$(arch)" | tee env.yaml
rapids-mamba-retry env create --force -f env.yaml -n test
# Temporarily allow unbound variables for conda activation.
set +u
conda activate test
set -u
CPP_CHANNEL=$(rapids-download-conda-from-s3 cpp)
RAPIDS_TESTS_DIR=${RAPIDS_TESTS_DIR:-"${PWD}/test-results"}/
mkdir -p "${RAPIDS_TESTS_DIR}"
rapids-print-env
rapids-mamba-retry install \
--channel "${CPP_CHANNEL}" \
librmm librmm-tests
rapids-logger "Check GPU usage"
nvidia-smi
EXITCODE=0
trap "EXITCODE=1" ERR
set +e
# Run librmm gtests from librmm-tests package
rapids-logger "Run gtests"
cd $CONDA_PREFIX/bin/gtests/librmm/
export GTEST_OUTPUT=xml:${RAPIDS_TESTS_DIR}/
ctest -j20 --output-on-failure
rapids-logger "Test script exiting with value: $EXITCODE"
exit ${EXITCODE}
| 0 |
rapidsai_public_repos/rmm
|
rapidsai_public_repos/rmm/ci/build_python.sh
|
#!/bin/bash
# Copyright (c) 2020-2023, NVIDIA CORPORATION.
set -euo pipefail
source rapids-env-update
export CMAKE_GENERATOR=Ninja
rapids-print-env
package_name="rmm"
package_dir="python"
version=$(rapids-generate-version)
commit=$(git rev-parse HEAD)
echo "${version}" > VERSION
sed -i "/^__git_commit__/ s/= .*/= \"${commit}\"/g" "${package_dir}/${package_name}/_version.py"
rapids-logger "Begin py build"
CPP_CHANNEL=$(rapids-download-conda-from-s3 cpp)
# This calls mambabuild when boa is installed (as is the case in the CI images)
RAPIDS_PACKAGE_VERSION=${version} rapids-conda-retry mambabuild -c "${CPP_CHANNEL}" conda/recipes/rmm
rapids-upload-conda-to-s3 python
| 0 |
rapidsai_public_repos/rmm
|
rapidsai_public_repos/rmm/ci/build_wheel.sh
|
#!/bin/bash
# Copyright (c) 2023, NVIDIA CORPORATION.
set -euo pipefail
package_name="rmm"
package_dir="python"
source rapids-configure-sccache
source rapids-date-string
version=$(rapids-generate-version)
commit=$(git rev-parse HEAD)
RAPIDS_PY_CUDA_SUFFIX="$(rapids-wheel-ctk-name-gen ${RAPIDS_CUDA_VERSION})"
# This is the version of the suffix with a preceding hyphen. It's used
# everywhere except in the final wheel name.
PACKAGE_CUDA_SUFFIX="-${RAPIDS_PY_CUDA_SUFFIX}"
# Patch project metadata files to include the CUDA version suffix and version override.
pyproject_file="${package_dir}/pyproject.toml"
sed -i "s/name = \"${package_name}\"/name = \"${package_name}${PACKAGE_CUDA_SUFFIX}\"/g" ${pyproject_file}
echo "${version}" > VERSION
sed -i "/^__git_commit__/ s/= .*/= \"${commit}\"/g" "${package_dir}/${package_name}/_version.py"
if [[ $PACKAGE_CUDA_SUFFIX == "-cu12" ]]; then
sed -i "s/cuda-python[<=>\.,0-9a]*/cuda-python>=12.0,<13.0a0/g" ${pyproject_file}
fi
cd "${package_dir}"
SKBUILD_CONFIGURE_OPTIONS="-DRMM_BUILD_WHEELS=ON" python -m pip wheel . -w dist -vvv --no-deps --disable-pip-version-check
mkdir -p final_dist
python -m auditwheel repair -w final_dist dist/*
RAPIDS_PY_WHEEL_NAME="${package_name}_${RAPIDS_PY_CUDA_SUFFIX}" rapids-upload-wheels-to-s3 final_dist
| 0 |
rapidsai_public_repos/rmm
|
rapidsai_public_repos/rmm/ci/check_style.sh
|
#!/bin/bash
# Copyright (c) 2020-2023, NVIDIA CORPORATION.
set -euo pipefail
rapids-logger "Create checks conda environment"
. /opt/conda/etc/profile.d/conda.sh
rapids-dependency-file-generator \
--output conda \
--file_key checks \
--matrix "cuda=${RAPIDS_CUDA_VERSION%.*};arch=$(arch);py=${RAPIDS_PY_VERSION}" | tee env.yaml
rapids-mamba-retry env create --force -f env.yaml -n checks
conda activate checks
FORMAT_FILE_URL=https://raw.githubusercontent.com/rapidsai/rapids-cmake/branch-24.02/cmake-format-rapids-cmake.json
export RAPIDS_CMAKE_FORMAT_FILE=/tmp/rapids_cmake_ci/cmake-formats-rapids-cmake.json
mkdir -p $(dirname ${RAPIDS_CMAKE_FORMAT_FILE})
wget -O ${RAPIDS_CMAKE_FORMAT_FILE} ${FORMAT_FILE_URL}
# Run pre-commit checks
pre-commit run --all-files --show-diff-on-failure
| 0 |
rapidsai_public_repos/rmm
|
rapidsai_public_repos/rmm/ci/test_wheel.sh
|
#!/bin/bash
# Copyright (c) 2023, NVIDIA CORPORATION.
set -eou pipefail
RAPIDS_PY_CUDA_SUFFIX="$(rapids-wheel-ctk-name-gen ${RAPIDS_CUDA_VERSION})"
RAPIDS_PY_WHEEL_NAME="rmm_${RAPIDS_PY_CUDA_SUFFIX}" rapids-download-wheels-from-s3 ./dist
# echo to expand wildcard before adding `[extra]` requires for pip
python -m pip install $(echo ./dist/rmm*.whl)[test]
# Run smoke tests for aarch64 pull requests
if [[ "$(arch)" == "aarch64" && ${RAPIDS_BUILD_TYPE} == "pull-request" ]]; then
python ./ci/wheel_smoke_test.py
else
python -m pytest ./python/rmm/tests
fi
| 0 |
rapidsai_public_repos/rmm
|
rapidsai_public_repos/rmm/ci/wheel_smoke_test.py
|
import rmm
if __name__ == "__main__":
buf = rmm.DeviceBuffer(size=100)
assert buf.size == 100
| 0 |
rapidsai_public_repos/rmm
|
rapidsai_public_repos/rmm/ci/build_cpp.sh
|
#!/bin/bash
# Copyright (c) 2020-2023, NVIDIA CORPORATION.
set -euo pipefail
source rapids-env-update
export CMAKE_GENERATOR=Ninja
rapids-print-env
version=$(rapids-generate-version)
rapids-logger "Begin cpp build"
# This calls mambabuild when boa is installed (as is the case in the CI images)
RAPIDS_PACKAGE_VERSION=${version} rapids-conda-retry mambabuild conda/recipes/librmm
rapids-upload-conda-to-s3 cpp
| 0 |
rapidsai_public_repos/rmm
|
rapidsai_public_repos/rmm/ci/build_docs.sh
|
#!/bin/bash
# Copyright (c) 2020-2023, NVIDIA CORPORATION.
set -euo pipefail
rapids-logger "Create test conda environment"
. /opt/conda/etc/profile.d/conda.sh
rapids-dependency-file-generator \
--output conda \
--file_key docs \
--matrix "cuda=${RAPIDS_CUDA_VERSION%.*};arch=$(arch);py=${RAPIDS_PY_VERSION}" | tee env.yaml
rapids-mamba-retry env create --force -f env.yaml -n docs
conda activate docs
rapids-print-env
rapids-logger "Downloading artifacts from previous jobs"
CPP_CHANNEL=$(rapids-download-conda-from-s3 cpp)
PYTHON_CHANNEL=$(rapids-download-conda-from-s3 python)
rapids-mamba-retry install \
--channel "${CPP_CHANNEL}" \
--channel "${PYTHON_CHANNEL}" \
rmm librmm
export RAPIDS_VERSION_NUMBER="24.02"
export RAPIDS_DOCS_DIR="$(mktemp -d)"
rapids-logger "Build CPP docs"
pushd doxygen
doxygen Doxyfile
mkdir -p "${RAPIDS_DOCS_DIR}/librmm/html"
mv html/* "${RAPIDS_DOCS_DIR}/librmm/html"
popd
rapids-logger "Build Python docs"
pushd python/docs
make dirhtml
make text
mkdir -p "${RAPIDS_DOCS_DIR}/rmm/"{html,txt}
mv _build/dirhtml/* "${RAPIDS_DOCS_DIR}/rmm/html"
mv _build/text/* "${RAPIDS_DOCS_DIR}/rmm/txt"
popd
rapids-upload-docs
| 0 |
rapidsai_public_repos/rmm/ci
|
rapidsai_public_repos/rmm/ci/release/update-version.sh
|
#!/bin/bash
########################
# RMM Version Updater #
########################
## Usage
# bash update-version.sh <new_version>
# Format is YY.MM.PP - no leading 'v' or trailing 'a'
NEXT_FULL_TAG=$1
# Get current version
CURRENT_TAG=$(git tag --merged HEAD | grep -xE '^v.*' | sort --version-sort | tail -n 1 | tr -d 'v')
CURRENT_MAJOR=$(echo $CURRENT_TAG | awk '{split($0, a, "."); print a[1]}')
CURRENT_MINOR=$(echo $CURRENT_TAG | awk '{split($0, a, "."); print a[2]}')
CURRENT_PATCH=$(echo $CURRENT_TAG | awk '{split($0, a, "."); print a[3]}')
CURRENT_SHORT_TAG=${CURRENT_MAJOR}.${CURRENT_MINOR}
#Get <major>.<minor> for next version
NEXT_MAJOR=$(echo $NEXT_FULL_TAG | awk '{split($0, a, "."); print a[1]}')
NEXT_MINOR=$(echo $NEXT_FULL_TAG | awk '{split($0, a, "."); print a[2]}')
NEXT_SHORT_TAG=${NEXT_MAJOR}.${NEXT_MINOR}
# Need to distutils-normalize the original version
NEXT_SHORT_TAG_PEP440=$(python -c "from setuptools.extern import packaging; print(packaging.version.Version('${NEXT_SHORT_TAG}'))")
echo "Preparing release $CURRENT_TAG => $NEXT_FULL_TAG"
# Inplace sed replace; workaround for Linux and Mac
function sed_runner() {
sed -i.bak ''"$1"'' $2 && rm -f ${2}.bak
}
# cpp update
sed_runner 's/'" VERSION .*"'/'" VERSION ${NEXT_FULL_TAG}"'/g' CMakeLists.txt
# Python update
sed_runner 's/'"rmm_version .*)"'/'"rmm_version ${NEXT_FULL_TAG})"'/g' python/CMakeLists.txt
# Centralized version file update
echo "${NEXT_FULL_TAG}" > VERSION
# rapids-cmake version
sed_runner 's/'"branch-.*\/RAPIDS.cmake"'/'"branch-${NEXT_SHORT_TAG}\/RAPIDS.cmake"'/g' fetch_rapids.cmake
# cmake-format rapids-cmake definitions
sed_runner 's/'"branch-.*\/cmake-format-rapids-cmake.json"'/'"branch-${NEXT_SHORT_TAG}\/cmake-format-rapids-cmake.json"'/g' ci/check_style.sh
# doxyfile update
sed_runner 's/'"PROJECT_NUMBER = .*"'/'"PROJECT_NUMBER = ${NEXT_SHORT_TAG}"'/g' doxygen/Doxyfile
# sphinx docs update
sed_runner 's/'"version =.*"'/'"version = \"${NEXT_SHORT_TAG}\""'/g' python/docs/conf.py
sed_runner 's/'"release =.*"'/'"release = \"${NEXT_FULL_TAG}\""'/g' python/docs/conf.py
# CI files
for FILE in .github/workflows/*.yaml; do
sed_runner "/shared-workflows/ s/@.*/@branch-${NEXT_SHORT_TAG}/g" "${FILE}"
done
sed_runner "s/RAPIDS_VERSION_NUMBER=\".*/RAPIDS_VERSION_NUMBER=\"${NEXT_SHORT_TAG}\"/g" ci/build_docs.sh
# .devcontainer files
find .devcontainer/ -type f -name devcontainer.json -print0 | while IFS= read -r -d '' filename; do
sed_runner "s@rapidsai/devcontainers:[0-9.]*@rapidsai/devcontainers:${NEXT_SHORT_TAG}@g" "${filename}"
sed_runner "s@rapidsai/devcontainers/features/rapids-build-utils:[0-9.]*@rapidsai/devcontainers/features/rapids-build-utils:${NEXT_SHORT_TAG_PEP440}@" "${filename}"
done
| 0 |
rapidsai_public_repos/rmm
|
rapidsai_public_repos/rmm/doxygen/main_page.md
|
# librmm
Achieving optimal performance in GPU-centric workflows frequently requires customizing how host and
device memory are allocated. For example, using "pinned" host memory for asynchronous
host <-> device memory transfers, or using a device memory pool sub-allocator to reduce the cost of
dynamic device memory allocation.
The goal of the RAPIDS Memory Manager (RMM) is to provide:
- A common interface that allows customizing device and host memory allocation
- A collection of implementations of the interface
- A collection of data structures that use the interface for memory allocation
\htmlonly For more information on APIs provided by rmm, see <a href="modules.html">the modules page</a>\endhtmlonly.
| 0 |
rapidsai_public_repos/rmm
|
rapidsai_public_repos/rmm/doxygen/Doxyfile
|
# Doxyfile 1.9.1
# This file describes the settings to be used by the documentation system
# doxygen (www.doxygen.org) for a project.
#
# All text after a double hash (##) is considered a comment and is placed in
# front of the TAG it is preceding.
#
# All text after a single hash (#) is considered a comment and will be ignored.
# The format is:
# TAG = value [value, ...]
# For lists, items can also be appended using:
# TAG += value [value, ...]
# Values that contain spaces should be placed between quotes (\" \").
#---------------------------------------------------------------------------
# Project related configuration options
#---------------------------------------------------------------------------
# This tag specifies the encoding used for all characters in the configuration
# file that follow. The default is UTF-8 which is also the encoding used for all
# text before the first occurrence of this tag. Doxygen uses libiconv (or the
# iconv built into libc) for the transcoding. See
# https://www.gnu.org/software/libiconv/ for the list of possible encodings.
# The default value is: UTF-8.
DOXYFILE_ENCODING = UTF-8
# The PROJECT_NAME tag is a single word (or a sequence of words surrounded by
# double-quotes, unless you are using Doxywizard) that should identify the
# project for which the documentation is generated. This name is used in the
# title of most generated pages and in a few other places.
# The default value is: My Project.
PROJECT_NAME = RMM
# The PROJECT_NUMBER tag can be used to enter a project or revision number. This
# could be handy for archiving the generated documentation or if some version
# control system is used.
PROJECT_NUMBER = 24.02
# Using the PROJECT_BRIEF tag one can provide an optional one line description
# for a project that appears at the top of each page and should give viewer a
# quick idea about the purpose of the project. Keep the description short.
PROJECT_BRIEF = "RAPIDS Memory Manager"
# With the PROJECT_LOGO tag one can specify a logo or an icon that is included
# in the documentation. The maximum height of the logo should not exceed 55
# pixels and the maximum width should not exceed 200 pixels. Doxygen will copy
# the logo to the output directory.
PROJECT_LOGO =
# The OUTPUT_DIRECTORY tag is used to specify the (relative or absolute) path
# into which the generated documentation will be written. If a relative path is
# entered, it will be relative to the location where doxygen was started. If
# left blank the current directory will be used.
OUTPUT_DIRECTORY =
# If the CREATE_SUBDIRS tag is set to YES then doxygen will create 4096 sub-
# directories (in 2 levels) under the output directory of each output format and
# will distribute the generated files over these directories. Enabling this
# option can be useful when feeding doxygen a huge amount of source files, where
# putting all generated files in the same directory would otherwise causes
# performance problems for the file system.
# The default value is: NO.
CREATE_SUBDIRS = NO
# If the ALLOW_UNICODE_NAMES tag is set to YES, doxygen will allow non-ASCII
# characters to appear in the names of generated files. If set to NO, non-ASCII
# characters will be escaped, for example _xE3_x81_x84 will be used for Unicode
# U+3044.
# The default value is: NO.
ALLOW_UNICODE_NAMES = NO
# The OUTPUT_LANGUAGE tag is used to specify the language in which all
# documentation generated by doxygen is written. Doxygen will use this
# information to generate all constant output in the proper language.
# Possible values are: Afrikaans, Arabic, Armenian, Brazilian, Catalan, Chinese,
# Chinese-Traditional, Croatian, Czech, Danish, Dutch, English (United States),
# Esperanto, Farsi (Persian), Finnish, French, German, Greek, Hungarian,
# Indonesian, Italian, Japanese, Japanese-en (Japanese with English messages),
# Korean, Korean-en (Korean with English messages), Latvian, Lithuanian,
# Macedonian, Norwegian, Persian (Farsi), Polish, Portuguese, Romanian, Russian,
# Serbian, Serbian-Cyrillic, Slovak, Slovene, Spanish, Swedish, Turkish,
# Ukrainian and Vietnamese.
# The default value is: English.
OUTPUT_LANGUAGE = English
# The OUTPUT_TEXT_DIRECTION tag is used to specify the direction in which all
# documentation generated by doxygen is written. Doxygen will use this
# information to generate all generated output in the proper direction.
# Possible values are: None, LTR, RTL and Context.
# The default value is: None.
OUTPUT_TEXT_DIRECTION = None
# If the BRIEF_MEMBER_DESC tag is set to YES, doxygen will include brief member
# descriptions after the members that are listed in the file and class
# documentation (similar to Javadoc). Set to NO to disable this.
# The default value is: YES.
BRIEF_MEMBER_DESC = YES
# If the REPEAT_BRIEF tag is set to YES, doxygen will prepend the brief
# description of a member or function before the detailed description
#
# Note: If both HIDE_UNDOC_MEMBERS and BRIEF_MEMBER_DESC are set to NO, the
# brief descriptions will be completely suppressed.
# The default value is: YES.
REPEAT_BRIEF = YES
# This tag implements a quasi-intelligent brief description abbreviator that is
# used to form the text in various listings. Each string in this list, if found
# as the leading text of the brief description, will be stripped from the text
# and the result, after processing the whole list, is used as the annotated
# text. Otherwise, the brief description is used as-is. If left blank, the
# following values are used ($name is automatically replaced with the name of
# the entity):The $name class, The $name widget, The $name file, is, provides,
# specifies, contains, represents, a, an and the.
ABBREVIATE_BRIEF =
# If the ALWAYS_DETAILED_SEC and REPEAT_BRIEF tags are both set to YES then
# doxygen will generate a detailed section even if there is only a brief
# description.
# The default value is: NO.
ALWAYS_DETAILED_SEC = NO
# If the INLINE_INHERITED_MEMB tag is set to YES, doxygen will show all
# inherited members of a class in the documentation of that class as if those
# members were ordinary class members. Constructors, destructors and assignment
# operators of the base classes will not be shown.
# The default value is: NO.
INLINE_INHERITED_MEMB = NO
# If the FULL_PATH_NAMES tag is set to YES, doxygen will prepend the full path
# before files name in the file list and in the header files. If set to NO the
# shortest path that makes the file name unique will be used
# The default value is: YES.
FULL_PATH_NAMES = NO
# The STRIP_FROM_PATH tag can be used to strip a user-defined part of the path.
# Stripping is only done if one of the specified strings matches the left-hand
# part of the path. The tag can be used to show relative paths in the file list.
# If left blank the directory from which doxygen is run is used as the path to
# strip.
#
# Note that you can specify absolute paths here, but also relative paths, which
# will be relative from the directory where doxygen is started.
# This tag requires that the tag FULL_PATH_NAMES is set to YES.
STRIP_FROM_PATH =
# The STRIP_FROM_INC_PATH tag can be used to strip a user-defined part of the
# path mentioned in the documentation of a class, which tells the reader which
# header file to include in order to use a class. If left blank only the name of
# the header file containing the class definition is used. Otherwise one should
# specify the list of include paths that are normally passed to the compiler
# using the -I flag.
STRIP_FROM_INC_PATH =
# If the SHORT_NAMES tag is set to YES, doxygen will generate much shorter (but
# less readable) file names. This can be useful is your file systems doesn't
# support long names like on DOS, Mac, or CD-ROM.
# The default value is: NO.
SHORT_NAMES = NO
# If the JAVADOC_AUTOBRIEF tag is set to YES then doxygen will interpret the
# first line (until the first dot) of a Javadoc-style comment as the brief
# description. If set to NO, the Javadoc-style will behave just like regular Qt-
# style comments (thus requiring an explicit @brief command for a brief
# description.)
# The default value is: NO.
JAVADOC_AUTOBRIEF = NO
# If the JAVADOC_BANNER tag is set to YES then doxygen will interpret a line
# such as
# /***************
# as being the beginning of a Javadoc-style comment "banner". If set to NO, the
# Javadoc-style will behave just like regular comments and it will not be
# interpreted by doxygen.
# The default value is: NO.
JAVADOC_BANNER = NO
# If the QT_AUTOBRIEF tag is set to YES then doxygen will interpret the first
# line (until the first dot) of a Qt-style comment as the brief description. If
# set to NO, the Qt-style will behave just like regular Qt-style comments (thus
# requiring an explicit \brief command for a brief description.)
# The default value is: NO.
QT_AUTOBRIEF = NO
# The MULTILINE_CPP_IS_BRIEF tag can be set to YES to make doxygen treat a
# multi-line C++ special comment block (i.e. a block of //! or /// comments) as
# a brief description. This used to be the default behavior. The new default is
# to treat a multi-line C++ comment block as a detailed description. Set this
# tag to YES if you prefer the old behavior instead.
#
# Note that setting this tag to YES also means that rational rose comments are
# not recognized any more.
# The default value is: NO.
MULTILINE_CPP_IS_BRIEF = NO
# By default Python docstrings are displayed as preformatted text and doxygen's
# special commands cannot be used. By setting PYTHON_DOCSTRING to NO the
# doxygen's special commands can be used and the contents of the docstring
# documentation blocks is shown as doxygen documentation.
# The default value is: YES.
PYTHON_DOCSTRING = YES
# If the INHERIT_DOCS tag is set to YES then an undocumented member inherits the
# documentation from any documented member that it re-implements.
# The default value is: YES.
INHERIT_DOCS = YES
# If the SEPARATE_MEMBER_PAGES tag is set to YES then doxygen will produce a new
# page for each member. If set to NO, the documentation of a member will be part
# of the file/class/namespace that contains it.
# The default value is: NO.
SEPARATE_MEMBER_PAGES = NO
# The TAB_SIZE tag can be used to set the number of spaces in a tab. Doxygen
# uses this value to replace tabs by spaces in code fragments.
# Minimum value: 1, maximum value: 16, default value: 4.
TAB_SIZE = 4
# This tag can be used to specify a number of aliases that act as commands in
# the documentation. An alias has the form:
# name=value
# For example adding
# "sideeffect=@par Side Effects:\n"
# will allow you to put the command \sideeffect (or @sideeffect) in the
# documentation, which will result in a user-defined paragraph with heading
# "Side Effects:". You can put \n's in the value part of an alias to insert
# newlines (in the resulting output). You can put ^^ in the value part of an
# alias to insert a newline as if a physical newline was in the original file.
# When you need a literal { or } or , in the value part of an alias you have to
# escape them by means of a backslash (\), this can lead to conflicts with the
# commands \{ and \} for these it is advised to use the version @{ and @} or use
# a double escape (\\{ and \\})
ALIASES = "briefreturn{1}=@brief \1 @return \1" \
"default_copy_constructor=Default copy constructor" \
"default_move_constructor=Default move constructor" \
"default_copy_assignment{1}=@brief Default copy assignment operator @return \1& Reference to the assigned object" \
"default_move_assignment{1}=@brief Default move assignment operator @return \1& Reference to the assigned object"
# Set the OPTIMIZE_OUTPUT_FOR_C tag to YES if your project consists of C sources
# only. Doxygen will then generate output that is more tailored for C. For
# instance, some of the names that are used will be different. The list of all
# members will be omitted, etc.
# The default value is: NO.
OPTIMIZE_OUTPUT_FOR_C = NO
# Set the OPTIMIZE_OUTPUT_JAVA tag to YES if your project consists of Java or
# Python sources only. Doxygen will then generate output that is more tailored
# for that language. For instance, namespaces will be presented as packages,
# qualified scopes will look different, etc.
# The default value is: NO.
OPTIMIZE_OUTPUT_JAVA = NO
# Set the OPTIMIZE_FOR_FORTRAN tag to YES if your project consists of Fortran
# sources. Doxygen will then generate output that is tailored for Fortran.
# The default value is: NO.
OPTIMIZE_FOR_FORTRAN = NO
# Set the OPTIMIZE_OUTPUT_VHDL tag to YES if your project consists of VHDL
# sources. Doxygen will then generate output that is tailored for VHDL.
# The default value is: NO.
OPTIMIZE_OUTPUT_VHDL = NO
# Set the OPTIMIZE_OUTPUT_SLICE tag to YES if your project consists of Slice
# sources only. Doxygen will then generate output that is more tailored for that
# language. For instance, namespaces will be presented as modules, types will be
# separated into more groups, etc.
# The default value is: NO.
OPTIMIZE_OUTPUT_SLICE = NO
# Doxygen selects the parser to use depending on the extension of the files it
# parses. With this tag you can assign which parser to use for a given
# extension. Doxygen has a built-in mapping, but you can override or extend it
# using this tag. The format is ext=language, where ext is a file extension, and
# language is one of the parsers supported by doxygen: IDL, Java, JavaScript,
# Csharp (C#), C, C++, D, PHP, md (Markdown), Objective-C, Python, Slice, VHDL,
# Fortran (fixed format Fortran: FortranFixed, free formatted Fortran:
# FortranFree, unknown formatted Fortran: Fortran. In the later case the parser
# tries to guess whether the code is fixed or free formatted code, this is the
# default for Fortran type files). For instance to make doxygen treat .inc files
# as Fortran files (default is PHP), and .f files as C (default is Fortran),
# use: inc=Fortran f=C.
#
# Note: For files without extension you can use no_extension as a placeholder.
#
# Note that for custom extensions you also need to set FILE_PATTERNS otherwise
# the files are not read by doxygen. When specifying no_extension you should add
# * to the FILE_PATTERNS.
#
# Note see also the list of default file extension mappings.
EXTENSION_MAPPING = cu=C++ \
cuh=C++
# If the MARKDOWN_SUPPORT tag is enabled then doxygen pre-processes all comments
# according to the Markdown format, which allows for more readable
# documentation. See https://daringfireball.net/projects/markdown/ for details.
# The output of markdown processing is further processed by doxygen, so you can
# mix doxygen, HTML, and XML commands with Markdown formatting. Disable only in
# case of backward compatibilities issues.
# The default value is: YES.
MARKDOWN_SUPPORT = YES
# When the TOC_INCLUDE_HEADINGS tag is set to a non-zero value, all headings up
# to that level are automatically included in the table of contents, even if
# they do not have an id attribute.
# Note: This feature currently applies only to Markdown headings.
# Minimum value: 0, maximum value: 99, default value: 5.
# This tag requires that the tag MARKDOWN_SUPPORT is set to YES.
TOC_INCLUDE_HEADINGS = 5
# When enabled doxygen tries to link words that correspond to documented
# classes, or namespaces to their corresponding documentation. Such a link can
# be prevented in individual cases by putting a % sign in front of the word or
# globally by setting AUTOLINK_SUPPORT to NO.
# The default value is: YES.
AUTOLINK_SUPPORT = YES
# If you use STL classes (i.e. std::string, std::vector, etc.) but do not want
# to include (a tag file for) the STL sources as input, then you should set this
# tag to YES in order to let doxygen match functions declarations and
# definitions whose arguments contain STL classes (e.g. func(std::string);
# versus func(std::string) {}). This also make the inheritance and collaboration
# diagrams that involve STL classes more complete and accurate.
# The default value is: NO.
BUILTIN_STL_SUPPORT = NO
# If you use Microsoft's C++/CLI language, you should set this option to YES to
# enable parsing support.
# The default value is: NO.
CPP_CLI_SUPPORT = NO
# Set the SIP_SUPPORT tag to YES if your project consists of sip (see:
# https://www.riverbankcomputing.com/software/sip/intro) sources only. Doxygen
# will parse them like normal C++ but will assume all classes use public instead
# of private inheritance when no explicit protection keyword is present.
# The default value is: NO.
SIP_SUPPORT = NO
# For Microsoft's IDL there are propget and propput attributes to indicate
# getter and setter methods for a property. Setting this option to YES will make
# doxygen to replace the get and set methods by a property in the documentation.
# This will only work if the methods are indeed getting or setting a simple
# type. If this is not the case, or you want to show the methods anyway, you
# should set this option to NO.
# The default value is: YES.
IDL_PROPERTY_SUPPORT = YES
# If member grouping is used in the documentation and the DISTRIBUTE_GROUP_DOC
# tag is set to YES then doxygen will reuse the documentation of the first
# member in the group (if any) for the other members of the group. By default
# all members of a group must be documented explicitly.
# The default value is: NO.
DISTRIBUTE_GROUP_DOC = NO
# If one adds a struct or class to a group and this option is enabled, then also
# any nested class or struct is added to the same group. By default this option
# is disabled and one has to add nested compounds explicitly via \ingroup.
# The default value is: NO.
GROUP_NESTED_COMPOUNDS = NO
# Set the SUBGROUPING tag to YES to allow class member groups of the same type
# (for instance a group of public functions) to be put as a subgroup of that
# type (e.g. under the Public Functions section). Set it to NO to prevent
# subgrouping. Alternatively, this can be done per class using the
# \nosubgrouping command.
# The default value is: YES.
SUBGROUPING = YES
# When the INLINE_GROUPED_CLASSES tag is set to YES, classes, structs and unions
# are shown inside the group in which they are included (e.g. using \ingroup)
# instead of on a separate page (for HTML and Man pages) or section (for LaTeX
# and RTF).
#
# Note that this feature does not work in combination with
# SEPARATE_MEMBER_PAGES.
# The default value is: NO.
INLINE_GROUPED_CLASSES = NO
# When the INLINE_SIMPLE_STRUCTS tag is set to YES, structs, classes, and unions
# with only public data fields or simple typedef fields will be shown inline in
# the documentation of the scope in which they are defined (i.e. file,
# namespace, or group documentation), provided this scope is documented. If set
# to NO, structs, classes, and unions are shown on a separate page (for HTML and
# Man pages) or section (for LaTeX and RTF).
# The default value is: NO.
INLINE_SIMPLE_STRUCTS = NO
# When TYPEDEF_HIDES_STRUCT tag is enabled, a typedef of a struct, union, or
# enum is documented as struct, union, or enum with the name of the typedef. So
# typedef struct TypeS {} TypeT, will appear in the documentation as a struct
# with name TypeT. When disabled the typedef will appear as a member of a file,
# namespace, or class. And the struct will be named TypeS. This can typically be
# useful for C code in case the coding convention dictates that all compound
# types are typedef'ed and only the typedef is referenced, never the tag name.
# The default value is: NO.
TYPEDEF_HIDES_STRUCT = NO
# The size of the symbol lookup cache can be set using LOOKUP_CACHE_SIZE. This
# cache is used to resolve symbols given their name and scope. Since this can be
# an expensive process and often the same symbol appears multiple times in the
# code, doxygen keeps a cache of pre-resolved symbols. If the cache is too small
# doxygen will become slower. If the cache is too large, memory is wasted. The
# cache size is given by this formula: 2^(16+LOOKUP_CACHE_SIZE). The valid range
# is 0..9, the default is 0, corresponding to a cache size of 2^16=65536
# symbols. At the end of a run doxygen will report the cache usage and suggest
# the optimal cache size from a speed point of view.
# Minimum value: 0, maximum value: 9, default value: 0.
LOOKUP_CACHE_SIZE = 0
# The NUM_PROC_THREADS specifies the number threads doxygen is allowed to use
# during processing. When set to 0 doxygen will based this on the number of
# cores available in the system. You can set it explicitly to a value larger
# than 0 to get more control over the balance between CPU load and processing
# speed. At this moment only the input processing can be done using multiple
# threads. Since this is still an experimental feature the default is set to 1,
# which efficively disables parallel processing. Please report any issues you
# encounter. Generating dot graphs in parallel is controlled by the
# DOT_NUM_THREADS setting.
# Minimum value: 0, maximum value: 32, default value: 1.
NUM_PROC_THREADS = 1
#---------------------------------------------------------------------------
# Build related configuration options
#---------------------------------------------------------------------------
# If the EXTRACT_ALL tag is set to YES, doxygen will assume all entities in
# documentation are documented, even if no documentation was available. Private
# class members and static file members will be hidden unless the
# EXTRACT_PRIVATE respectively EXTRACT_STATIC tags are set to YES.
# Note: This will also disable the warnings about undocumented members that are
# normally produced when WARNINGS is set to YES.
# The default value is: NO.
EXTRACT_ALL = NO
# If the EXTRACT_PRIVATE tag is set to YES, all private members of a class will
# be included in the documentation.
# The default value is: NO.
EXTRACT_PRIVATE = NO
# If the EXTRACT_PRIV_VIRTUAL tag is set to YES, documented private virtual
# methods of a class will be included in the documentation.
# The default value is: NO.
EXTRACT_PRIV_VIRTUAL = NO
# If the EXTRACT_PACKAGE tag is set to YES, all members with package or internal
# scope will be included in the documentation.
# The default value is: NO.
EXTRACT_PACKAGE = NO
# If the EXTRACT_STATIC tag is set to YES, all static members of a file will be
# included in the documentation.
# The default value is: NO.
EXTRACT_STATIC = NO
# If the EXTRACT_LOCAL_CLASSES tag is set to YES, classes (and structs) defined
# locally in source files will be included in the documentation. If set to NO,
# only classes defined in header files are included. Does not have any effect
# for Java sources.
# The default value is: YES.
EXTRACT_LOCAL_CLASSES = YES
# This flag is only useful for Objective-C code. If set to YES, local methods,
# which are defined in the implementation section but not in the interface are
# included in the documentation. If set to NO, only methods in the interface are
# included.
# The default value is: NO.
EXTRACT_LOCAL_METHODS = NO
# If this flag is set to YES, the members of anonymous namespaces will be
# extracted and appear in the documentation as a namespace called
# 'anonymous_namespace{file}', where file will be replaced with the base name of
# the file that contains the anonymous namespace. By default anonymous namespace
# are hidden.
# The default value is: NO.
EXTRACT_ANON_NSPACES = NO
# If this flag is set to YES, the name of an unnamed parameter in a declaration
# will be determined by the corresponding definition. By default unnamed
# parameters remain unnamed in the output.
# The default value is: YES.
RESOLVE_UNNAMED_PARAMS = YES
# If the HIDE_UNDOC_MEMBERS tag is set to YES, doxygen will hide all
# undocumented members inside documented classes or files. If set to NO these
# members will be included in the various overviews, but no documentation
# section is generated. This option has no effect if EXTRACT_ALL is enabled.
# The default value is: NO.
HIDE_UNDOC_MEMBERS = NO
# If the HIDE_UNDOC_CLASSES tag is set to YES, doxygen will hide all
# undocumented classes that are normally visible in the class hierarchy. If set
# to NO, these classes will be included in the various overviews. This option
# has no effect if EXTRACT_ALL is enabled.
# The default value is: NO.
HIDE_UNDOC_CLASSES = NO
# If the HIDE_FRIEND_COMPOUNDS tag is set to YES, doxygen will hide all friend
# declarations. If set to NO, these declarations will be included in the
# documentation.
# The default value is: NO.
HIDE_FRIEND_COMPOUNDS = NO
# If the HIDE_IN_BODY_DOCS tag is set to YES, doxygen will hide any
# documentation blocks found inside the body of a function. If set to NO, these
# blocks will be appended to the function's detailed documentation block.
# The default value is: NO.
HIDE_IN_BODY_DOCS = NO
# The INTERNAL_DOCS tag determines if documentation that is typed after a
# \internal command is included. If the tag is set to NO then the documentation
# will be excluded. Set it to YES to include the internal documentation.
# The default value is: NO.
INTERNAL_DOCS = NO
# With the correct setting of option CASE_SENSE_NAMES doxygen will better be
# able to match the capabilities of the underlying filesystem. In case the
# filesystem is case sensitive (i.e. it supports files in the same directory
# whose names only differ in casing), the option must be set to YES to properly
# deal with such files in case they appear in the input. For filesystems that
# are not case sensitive the option should be be set to NO to properly deal with
# output files written for symbols that only differ in casing, such as for two
# classes, one named CLASS and the other named Class, and to also support
# references to files without having to specify the exact matching casing. On
# Windows (including Cygwin) and MacOS, users should typically set this option
# to NO, whereas on Linux or other Unix flavors it should typically be set to
# YES.
# The default value is: system dependent.
CASE_SENSE_NAMES = YES
# If the HIDE_SCOPE_NAMES tag is set to NO then doxygen will show members with
# their full class and namespace scopes in the documentation. If set to YES, the
# scope will be hidden.
# The default value is: NO.
HIDE_SCOPE_NAMES = NO
# If the HIDE_COMPOUND_REFERENCE tag is set to NO (default) then doxygen will
# append additional text to a page's title, such as Class Reference. If set to
# YES the compound reference will be hidden.
# The default value is: NO.
HIDE_COMPOUND_REFERENCE= NO
# If the SHOW_INCLUDE_FILES tag is set to YES then doxygen will put a list of
# the files that are included by a file in the documentation of that file.
# The default value is: YES.
SHOW_INCLUDE_FILES = YES
# If the SHOW_GROUPED_MEMB_INC tag is set to YES then Doxygen will add for each
# grouped member an include statement to the documentation, telling the reader
# which file to include in order to use the member.
# The default value is: NO.
SHOW_GROUPED_MEMB_INC = NO
# If the FORCE_LOCAL_INCLUDES tag is set to YES then doxygen will list include
# files with double quotes in the documentation rather than with sharp brackets.
# The default value is: NO.
FORCE_LOCAL_INCLUDES = NO
# If the INLINE_INFO tag is set to YES then a tag [inline] is inserted in the
# documentation for inline members.
# The default value is: YES.
INLINE_INFO = YES
# If the SORT_MEMBER_DOCS tag is set to YES then doxygen will sort the
# (detailed) documentation of file and class members alphabetically by member
# name. If set to NO, the members will appear in declaration order.
# The default value is: YES.
SORT_MEMBER_DOCS = YES
# If the SORT_BRIEF_DOCS tag is set to YES then doxygen will sort the brief
# descriptions of file, namespace and class members alphabetically by member
# name. If set to NO, the members will appear in declaration order. Note that
# this will also influence the order of the classes in the class list.
# The default value is: NO.
SORT_BRIEF_DOCS = NO
# If the SORT_MEMBERS_CTORS_1ST tag is set to YES then doxygen will sort the
# (brief and detailed) documentation of class members so that constructors and
# destructors are listed first. If set to NO the constructors will appear in the
# respective orders defined by SORT_BRIEF_DOCS and SORT_MEMBER_DOCS.
# Note: If SORT_BRIEF_DOCS is set to NO this option is ignored for sorting brief
# member documentation.
# Note: If SORT_MEMBER_DOCS is set to NO this option is ignored for sorting
# detailed member documentation.
# The default value is: NO.
SORT_MEMBERS_CTORS_1ST = NO
# If the SORT_GROUP_NAMES tag is set to YES then doxygen will sort the hierarchy
# of group names into alphabetical order. If set to NO the group names will
# appear in their defined order.
# The default value is: NO.
SORT_GROUP_NAMES = NO
# If the SORT_BY_SCOPE_NAME tag is set to YES, the class list will be sorted by
# fully-qualified names, including namespaces. If set to NO, the class list will
# be sorted only by class name, not including the namespace part.
# Note: This option is not very useful if HIDE_SCOPE_NAMES is set to YES.
# Note: This option applies only to the class list, not to the alphabetical
# list.
# The default value is: NO.
SORT_BY_SCOPE_NAME = NO
# If the STRICT_PROTO_MATCHING option is enabled and doxygen fails to do proper
# type resolution of all parameters of a function it will reject a match between
# the prototype and the implementation of a member function even if there is
# only one candidate or it is obvious which candidate to choose by doing a
# simple string match. By disabling STRICT_PROTO_MATCHING doxygen will still
# accept a match between prototype and implementation in such cases.
# The default value is: NO.
STRICT_PROTO_MATCHING = NO
# The GENERATE_TODOLIST tag can be used to enable (YES) or disable (NO) the todo
# list. This list is created by putting \todo commands in the documentation.
# The default value is: YES.
GENERATE_TODOLIST = YES
# The GENERATE_TESTLIST tag can be used to enable (YES) or disable (NO) the test
# list. This list is created by putting \test commands in the documentation.
# The default value is: YES.
GENERATE_TESTLIST = YES
# The GENERATE_BUGLIST tag can be used to enable (YES) or disable (NO) the bug
# list. This list is created by putting \bug commands in the documentation.
# The default value is: YES.
GENERATE_BUGLIST = YES
# The GENERATE_DEPRECATEDLIST tag can be used to enable (YES) or disable (NO)
# the deprecated list. This list is created by putting \deprecated commands in
# the documentation.
# The default value is: YES.
GENERATE_DEPRECATEDLIST= YES
# The ENABLED_SECTIONS tag can be used to enable conditional documentation
# sections, marked by \if <section_label> ... \endif and \cond <section_label>
# ... \endcond blocks.
ENABLED_SECTIONS =
# The MAX_INITIALIZER_LINES tag determines the maximum number of lines that the
# initial value of a variable or macro / define can have for it to appear in the
# documentation. If the initializer consists of more lines than specified here
# it will be hidden. Use a value of 0 to hide initializers completely. The
# appearance of the value of individual variables and macros / defines can be
# controlled using \showinitializer or \hideinitializer command in the
# documentation regardless of this setting.
# Minimum value: 0, maximum value: 10000, default value: 30.
MAX_INITIALIZER_LINES = 30
# Set the SHOW_USED_FILES tag to NO to disable the list of files generated at
# the bottom of the documentation of classes and structs. If set to YES, the
# list will mention the files that were used to generate the documentation.
# The default value is: YES.
SHOW_USED_FILES = YES
# Set the SHOW_FILES tag to NO to disable the generation of the Files page. This
# will remove the Files entry from the Quick Index and from the Folder Tree View
# (if specified).
# The default value is: YES.
SHOW_FILES = YES
# Set the SHOW_NAMESPACES tag to NO to disable the generation of the Namespaces
# page. This will remove the Namespaces entry from the Quick Index and from the
# Folder Tree View (if specified).
# The default value is: YES.
SHOW_NAMESPACES = YES
# The FILE_VERSION_FILTER tag can be used to specify a program or script that
# doxygen should invoke to get the current version for each file (typically from
# the version control system). Doxygen will invoke the program by executing (via
# popen()) the command command input-file, where command is the value of the
# FILE_VERSION_FILTER tag, and input-file is the name of an input file provided
# by doxygen. Whatever the program writes to standard output is used as the file
# version. For an example see the documentation.
FILE_VERSION_FILTER =
# The LAYOUT_FILE tag can be used to specify a layout file which will be parsed
# by doxygen. The layout file controls the global structure of the generated
# output files in an output format independent way. To create the layout file
# that represents doxygen's defaults, run doxygen with the -l option. You can
# optionally specify a file name after the option, if omitted DoxygenLayout.xml
# will be used as the name of the layout file.
#
# Note that if you run doxygen from a directory containing a file called
# DoxygenLayout.xml, doxygen will parse it automatically even if the LAYOUT_FILE
# tag is left empty.
LAYOUT_FILE =
# The CITE_BIB_FILES tag can be used to specify one or more bib files containing
# the reference definitions. This must be a list of .bib files. The .bib
# extension is automatically appended if omitted. This requires the bibtex tool
# to be installed. See also https://en.wikipedia.org/wiki/BibTeX for more info.
# For LaTeX the style of the bibliography can be controlled using
# LATEX_BIB_STYLE. To use this feature you need bibtex and perl available in the
# search path. See also \cite for info how to create references.
CITE_BIB_FILES =
#---------------------------------------------------------------------------
# Configuration options related to warning and progress messages
#---------------------------------------------------------------------------
# The QUIET tag can be used to turn on/off the messages that are generated to
# standard output by doxygen. If QUIET is set to YES this implies that the
# messages are off.
# The default value is: NO.
QUIET = NO
# The WARNINGS tag can be used to turn on/off the warning messages that are
# generated to standard error (stderr) by doxygen. If WARNINGS is set to YES
# this implies that the warnings are on.
#
# Tip: Turn warnings on while writing the documentation.
# The default value is: YES.
WARNINGS = YES
# If the WARN_IF_UNDOCUMENTED tag is set to YES then doxygen will generate
# warnings for undocumented members. If EXTRACT_ALL is set to YES then this flag
# will automatically be disabled.
# The default value is: YES.
WARN_IF_UNDOCUMENTED = YES
# If the WARN_IF_DOC_ERROR tag is set to YES, doxygen will generate warnings for
# potential errors in the documentation, such as not documenting some parameters
# in a documented function, or documenting parameters that don't exist or using
# markup commands wrongly.
# The default value is: YES.
WARN_IF_DOC_ERROR = YES
# This WARN_NO_PARAMDOC option can be enabled to get warnings for functions that
# are documented, but have no documentation for their parameters or return
# value. If set to NO, doxygen will only warn about wrong or incomplete
# parameter documentation, but not about the absence of documentation. If
# EXTRACT_ALL is set to YES then this flag will automatically be disabled.
# The default value is: NO.
WARN_NO_PARAMDOC = YES
# If the WARN_AS_ERROR tag is set to YES then doxygen will immediately stop when
# a warning is encountered. If the WARN_AS_ERROR tag is set to FAIL_ON_WARNINGS
# then doxygen will continue running as if WARN_AS_ERROR tag is set to NO, but
# at the end of the doxygen process doxygen will return with a non-zero status.
# Possible values are: NO, YES and FAIL_ON_WARNINGS.
# The default value is: NO.
WARN_AS_ERROR = NO
# The WARN_FORMAT tag determines the format of the warning messages that doxygen
# can produce. The string should contain the $file, $line, and $text tags, which
# will be replaced by the file and line number from which the warning originated
# and the warning text. Optionally the format may contain $version, which will
# be replaced by the version of the file (if it could be obtained via
# FILE_VERSION_FILTER)
# The default value is: $file:$line: $text.
WARN_FORMAT = "$file:$line: $text"
# The WARN_LOGFILE tag can be used to specify a file to which warning and error
# messages should be written. If left blank the output is written to standard
# error (stderr).
WARN_LOGFILE =
#---------------------------------------------------------------------------
# Configuration options related to the input files
#---------------------------------------------------------------------------
# The INPUT tag is used to specify the files and/or directories that contain
# documented source files. You may enter file names like myfile.cpp or
# directories like /usr/src/myproject. Separate the files or directories with
# spaces. See also FILE_PATTERNS and EXTENSION_MAPPING
# Note: If this tag is empty the current directory is searched.
# Need to specify the error.hpp file explicitly because it is excluded by the
# EXCLUDE_PATTERNS below.
INPUT = main_page.md \
../include \
../include/rmm/detail/error.hpp
# This tag can be used to specify the character encoding of the source files
# that doxygen parses. Internally doxygen uses the UTF-8 encoding. Doxygen uses
# libiconv (or the iconv built into libc) for the transcoding. See the libiconv
# documentation (see:
# https://www.gnu.org/software/libiconv/) for the list of possible encodings.
# The default value is: UTF-8.
INPUT_ENCODING = UTF-8
# If the value of the INPUT tag contains directories, you can use the
# FILE_PATTERNS tag to specify one or more wildcard patterns (like *.cpp and
# *.h) to filter out the source-files in the directories.
#
# Note that for custom extensions or not directly supported extensions you also
# need to set EXTENSION_MAPPING for the extension otherwise the files are not
# read by doxygen.
#
# Note the list of default checked file patterns might differ from the list of
# default file extension mappings.
#
# If left blank the following patterns are tested:*.c, *.cc, *.cxx, *.cpp,
# *.c++, *.java, *.ii, *.ixx, *.ipp, *.i++, *.inl, *.idl, *.ddl, *.odl, *.h,
# *.hh, *.hxx, *.hpp, *.h++, *.cs, *.d, *.php, *.php4, *.php5, *.phtml, *.inc,
# *.m, *.markdown, *.md, *.mm, *.dox (to be provided as doxygen C comment),
# *.py, *.pyw, *.f90, *.f95, *.f03, *.f08, *.f18, *.f, *.for, *.vhd, *.vhdl,
# *.ucf, *.qsf and *.ice.
FILE_PATTERNS = *.c \
*.cpp \
*.h \
*.hpp \
*.cu \
*.cuh
# The RECURSIVE tag can be used to specify whether or not subdirectories should
# be searched for input files as well.
# The default value is: NO.
RECURSIVE = YES
# The EXCLUDE tag can be used to specify files and/or directories that should be
# excluded from the INPUT source files. This way you can easily exclude a
# subdirectory from a directory tree whose root is specified with the INPUT tag.
#
# Note that relative paths are relative to the directory from which doxygen is
# run.
EXCLUDE =
# The EXCLUDE_SYMLINKS tag can be used to select whether or not files or
# directories that are symbolic links (a Unix file system feature) are excluded
# from the input.
# The default value is: NO.
EXCLUDE_SYMLINKS = NO
# If the value of the INPUT tag contains directories, you can use the
# EXCLUDE_PATTERNS tag to specify one or more wildcard patterns to exclude
# certain files from those directories.
#
# Note that the wildcards are matched against the file with absolute path, so to
# exclude all test directories for example use the pattern */test/*
EXCLUDE_PATTERNS = */detail/*
# The EXCLUDE_SYMBOLS tag can be used to specify one or more symbol names
# (namespaces, classes, functions, etc.) that should be excluded from the
# output. The symbol name can be a fully qualified name, a word, or if the
# wildcard * is used, a substring. Examples: ANamespace, AClass,
# AClass::ANamespace, ANamespace::*Test
#
# Note that the wildcards are matched against the file with absolute path, so to
# exclude all test directories use the pattern */test/*
EXCLUDE_SYMBOLS =
# The EXAMPLE_PATH tag can be used to specify one or more files or directories
# that contain example code fragments that are included (see the \include
# command).
EXAMPLE_PATH =
# If the value of the EXAMPLE_PATH tag contains directories, you can use the
# EXAMPLE_PATTERNS tag to specify one or more wildcard pattern (like *.cpp and
# *.h) to filter out the source-files in the directories. If left blank all
# files are included.
EXAMPLE_PATTERNS =
# If the EXAMPLE_RECURSIVE tag is set to YES then subdirectories will be
# searched for input files to be used with the \include or \dontinclude commands
# irrespective of the value of the RECURSIVE tag.
# The default value is: NO.
EXAMPLE_RECURSIVE = NO
# The IMAGE_PATH tag can be used to specify one or more files or directories
# that contain images that are to be included in the documentation (see the
# \image command).
IMAGE_PATH =
# The INPUT_FILTER tag can be used to specify a program that doxygen should
# invoke to filter for each input file. Doxygen will invoke the filter program
# by executing (via popen()) the command:
#
# <filter> <input-file>
#
# where <filter> is the value of the INPUT_FILTER tag, and <input-file> is the
# name of an input file. Doxygen will then use the output that the filter
# program writes to standard output. If FILTER_PATTERNS is specified, this tag
# will be ignored.
#
# Note that the filter must not add or remove lines; it is applied before the
# code is scanned, but not when the output code is generated. If lines are added
# or removed, the anchors will not be placed correctly.
#
# Note that for custom extensions or not directly supported extensions you also
# need to set EXTENSION_MAPPING for the extension otherwise the files are not
# properly processed by doxygen.
INPUT_FILTER =
# The FILTER_PATTERNS tag can be used to specify filters on a per file pattern
# basis. Doxygen will compare the file name with each pattern and apply the
# filter if there is a match. The filters are a list of the form: pattern=filter
# (like *.cpp=my_cpp_filter). See INPUT_FILTER for further information on how
# filters are used. If the FILTER_PATTERNS tag is empty or if none of the
# patterns match the file name, INPUT_FILTER is applied.
#
# Note that for custom extensions or not directly supported extensions you also
# need to set EXTENSION_MAPPING for the extension otherwise the files are not
# properly processed by doxygen.
FILTER_PATTERNS =
# If the FILTER_SOURCE_FILES tag is set to YES, the input filter (if set using
# INPUT_FILTER) will also be used to filter the input files that are used for
# producing the source files to browse (i.e. when SOURCE_BROWSER is set to YES).
# The default value is: NO.
FILTER_SOURCE_FILES = NO
# The FILTER_SOURCE_PATTERNS tag can be used to specify source filters per file
# pattern. A pattern will override the setting for FILTER_PATTERN (if any) and
# it is also possible to disable source filtering for a specific pattern using
# *.ext= (so without naming a filter).
# This tag requires that the tag FILTER_SOURCE_FILES is set to YES.
FILTER_SOURCE_PATTERNS =
# If the USE_MDFILE_AS_MAINPAGE tag refers to the name of a markdown file that
# is part of the input, its contents will be placed on the main page
# (index.html). This can be useful if you have a project on for instance GitHub
# and want to reuse the introduction page also for the doxygen output.
USE_MDFILE_AS_MAINPAGE = main_page.md
#---------------------------------------------------------------------------
# Configuration options related to source browsing
#---------------------------------------------------------------------------
# If the SOURCE_BROWSER tag is set to YES then a list of source files will be
# generated. Documented entities will be cross-referenced with these sources.
#
# Note: To get rid of all source code in the generated output, make sure that
# also VERBATIM_HEADERS is set to NO.
# The default value is: NO.
SOURCE_BROWSER = NO
# Setting the INLINE_SOURCES tag to YES will include the body of functions,
# classes and enums directly into the documentation.
# The default value is: NO.
INLINE_SOURCES = NO
# Setting the STRIP_CODE_COMMENTS tag to YES will instruct doxygen to hide any
# special comment blocks from generated source code fragments. Normal C, C++ and
# Fortran comments will always remain visible.
# The default value is: YES.
STRIP_CODE_COMMENTS = YES
# If the REFERENCED_BY_RELATION tag is set to YES then for each documented
# entity all documented functions referencing it will be listed.
# The default value is: NO.
REFERENCED_BY_RELATION = NO
# If the REFERENCES_RELATION tag is set to YES then for each documented function
# all documented entities called/used by that function will be listed.
# The default value is: NO.
REFERENCES_RELATION = NO
# If the REFERENCES_LINK_SOURCE tag is set to YES and SOURCE_BROWSER tag is set
# to YES then the hyperlinks from functions in REFERENCES_RELATION and
# REFERENCED_BY_RELATION lists will link to the source code. Otherwise they will
# link to the documentation.
# The default value is: YES.
REFERENCES_LINK_SOURCE = YES
# If SOURCE_TOOLTIPS is enabled (the default) then hovering a hyperlink in the
# source code will show a tooltip with additional information such as prototype,
# brief description and links to the definition and documentation. Since this
# will make the HTML file larger and loading of large files a bit slower, you
# can opt to disable this feature.
# The default value is: YES.
# This tag requires that the tag SOURCE_BROWSER is set to YES.
SOURCE_TOOLTIPS = YES
# If the USE_HTAGS tag is set to YES then the references to source code will
# point to the HTML generated by the htags(1) tool instead of doxygen built-in
# source browser. The htags tool is part of GNU's global source tagging system
# (see https://www.gnu.org/software/global/global.html). You will need version
# 4.8.6 or higher.
#
# To use it do the following:
# - Install the latest version of global
# - Enable SOURCE_BROWSER and USE_HTAGS in the configuration file
# - Make sure the INPUT points to the root of the source tree
# - Run doxygen as normal
#
# Doxygen will invoke htags (and that will in turn invoke gtags), so these
# tools must be available from the command line (i.e. in the search path).
#
# The result: instead of the source browser generated by doxygen, the links to
# source code will now point to the output of htags.
# The default value is: NO.
# This tag requires that the tag SOURCE_BROWSER is set to YES.
USE_HTAGS = NO
# If the VERBATIM_HEADERS tag is set the YES then doxygen will generate a
# verbatim copy of the header file for each class for which an include is
# specified. Set to NO to disable this.
# See also: Section \class.
# The default value is: YES.
VERBATIM_HEADERS = YES
#---------------------------------------------------------------------------
# Configuration options related to the alphabetical class index
#---------------------------------------------------------------------------
# If the ALPHABETICAL_INDEX tag is set to YES, an alphabetical index of all
# compounds will be generated. Enable this if the project contains a lot of
# classes, structs, unions or interfaces.
# The default value is: YES.
ALPHABETICAL_INDEX = YES
# In case all classes in a project start with a common prefix, all classes will
# be put under the same header in the alphabetical index. The IGNORE_PREFIX tag
# can be used to specify a prefix (or a list of prefixes) that should be ignored
# while generating the index headers.
# This tag requires that the tag ALPHABETICAL_INDEX is set to YES.
IGNORE_PREFIX =
#---------------------------------------------------------------------------
# Configuration options related to the HTML output
#---------------------------------------------------------------------------
# If the GENERATE_HTML tag is set to YES, doxygen will generate HTML output
# The default value is: YES.
GENERATE_HTML = YES
# The HTML_OUTPUT tag is used to specify where the HTML docs will be put. If a
# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
# it.
# The default directory is: html.
# This tag requires that the tag GENERATE_HTML is set to YES.
HTML_OUTPUT = html
# The HTML_FILE_EXTENSION tag can be used to specify the file extension for each
# generated HTML page (for example: .htm, .php, .asp).
# The default value is: .html.
# This tag requires that the tag GENERATE_HTML is set to YES.
HTML_FILE_EXTENSION = .html
# The HTML_HEADER tag can be used to specify a user-defined HTML header file for
# each generated HTML page. If the tag is left blank doxygen will generate a
# standard header.
#
# To get valid HTML the header file that includes any scripts and style sheets
# that doxygen needs, which is dependent on the configuration options used (e.g.
# the setting GENERATE_TREEVIEW). It is highly recommended to start with a
# default header using
# doxygen -w html new_header.html new_footer.html new_stylesheet.css
# YourConfigFile
# and then modify the file new_header.html. See also section "Doxygen usage"
# for information on how to generate the default header that doxygen normally
# uses.
# Note: The header is subject to change so you typically have to regenerate the
# default header when upgrading to a newer version of doxygen. For a description
# of the possible markers and block names see the documentation.
# This tag requires that the tag GENERATE_HTML is set to YES.
HTML_HEADER = header.html
# The HTML_FOOTER tag can be used to specify a user-defined HTML footer for each
# generated HTML page. If the tag is left blank doxygen will generate a standard
# footer. See HTML_HEADER for more information on how to generate a default
# footer and what special commands can be used inside the footer. See also
# section "Doxygen usage" for information on how to generate the default footer
# that doxygen normally uses.
# This tag requires that the tag GENERATE_HTML is set to YES.
HTML_FOOTER =
# The HTML_STYLESHEET tag can be used to specify a user-defined cascading style
# sheet that is used by each HTML page. It can be used to fine-tune the look of
# the HTML output. If left blank doxygen will generate a default style sheet.
# See also section "Doxygen usage" for information on how to generate the style
# sheet that doxygen normally uses.
# Note: It is recommended to use HTML_EXTRA_STYLESHEET instead of this tag, as
# it is more robust and this tag (HTML_STYLESHEET) will in the future become
# obsolete.
# This tag requires that the tag GENERATE_HTML is set to YES.
HTML_STYLESHEET =
# The HTML_EXTRA_STYLESHEET tag can be used to specify additional user-defined
# cascading style sheets that are included after the standard style sheets
# created by doxygen. Using this option one can overrule certain style aspects.
# This is preferred over using HTML_STYLESHEET since it does not replace the
# standard style sheet and is therefore more robust against future updates.
# Doxygen will copy the style sheet files to the output directory.
# Note: The order of the extra style sheet files is of importance (e.g. the last
# style sheet in the list overrules the setting of the previous ones in the
# list). For an example see the documentation.
# This tag requires that the tag GENERATE_HTML is set to YES.
HTML_EXTRA_STYLESHEET =
# The HTML_EXTRA_FILES tag can be used to specify one or more extra images or
# other source files which should be copied to the HTML output directory. Note
# that these files will be copied to the base HTML output directory. Use the
# $relpath^ marker in the HTML_HEADER and/or HTML_FOOTER files to load these
# files. In the HTML_STYLESHEET file, use the file name only. Also note that the
# files will be copied as-is; there are no commands or markers available.
# This tag requires that the tag GENERATE_HTML is set to YES.
HTML_EXTRA_FILES =
# The HTML_COLORSTYLE_HUE tag controls the color of the HTML output. Doxygen
# will adjust the colors in the style sheet and background images according to
# this color. Hue is specified as an angle on a colorwheel, see
# https://en.wikipedia.org/wiki/Hue for more information. For instance the value
# 0 represents red, 60 is yellow, 120 is green, 180 is cyan, 240 is blue, 300
# purple, and 360 is red again.
# Minimum value: 0, maximum value: 359, default value: 220.
# This tag requires that the tag GENERATE_HTML is set to YES.
HTML_COLORSTYLE_HUE = 220
# The HTML_COLORSTYLE_SAT tag controls the purity (or saturation) of the colors
# in the HTML output. For a value of 0 the output will use grayscales only. A
# value of 255 will produce the most vivid colors.
# Minimum value: 0, maximum value: 255, default value: 100.
# This tag requires that the tag GENERATE_HTML is set to YES.
HTML_COLORSTYLE_SAT = 100
# The HTML_COLORSTYLE_GAMMA tag controls the gamma correction applied to the
# luminance component of the colors in the HTML output. Values below 100
# gradually make the output lighter, whereas values above 100 make the output
# darker. The value divided by 100 is the actual gamma applied, so 80 represents
# a gamma of 0.8, The value 220 represents a gamma of 2.2, and 100 does not
# change the gamma.
# Minimum value: 40, maximum value: 240, default value: 80.
# This tag requires that the tag GENERATE_HTML is set to YES.
HTML_COLORSTYLE_GAMMA = 80
# If the HTML_TIMESTAMP tag is set to YES then the footer of each generated HTML
# page will contain the date and time when the page was generated. Setting this
# to YES can help to show when doxygen was last run and thus if the
# documentation is up to date.
# The default value is: NO.
# This tag requires that the tag GENERATE_HTML is set to YES.
HTML_TIMESTAMP = NO
# If the HTML_DYNAMIC_MENUS tag is set to YES then the generated HTML
# documentation will contain a main index with vertical navigation menus that
# are dynamically created via JavaScript. If disabled, the navigation index will
# consists of multiple levels of tabs that are statically embedded in every HTML
# page. Disable this option to support browsers that do not have JavaScript,
# like the Qt help browser.
# The default value is: YES.
# This tag requires that the tag GENERATE_HTML is set to YES.
HTML_DYNAMIC_MENUS = YES
# If the HTML_DYNAMIC_SECTIONS tag is set to YES then the generated HTML
# documentation will contain sections that can be hidden and shown after the
# page has loaded.
# The default value is: NO.
# This tag requires that the tag GENERATE_HTML is set to YES.
HTML_DYNAMIC_SECTIONS = NO
# With HTML_INDEX_NUM_ENTRIES one can control the preferred number of entries
# shown in the various tree structured indices initially; the user can expand
# and collapse entries dynamically later on. Doxygen will expand the tree to
# such a level that at most the specified number of entries are visible (unless
# a fully collapsed tree already exceeds this amount). So setting the number of
# entries 1 will produce a full collapsed tree by default. 0 is a special value
# representing an infinite number of entries and will result in a full expanded
# tree by default.
# Minimum value: 0, maximum value: 9999, default value: 100.
# This tag requires that the tag GENERATE_HTML is set to YES.
HTML_INDEX_NUM_ENTRIES = 100
# If the GENERATE_DOCSET tag is set to YES, additional index files will be
# generated that can be used as input for Apple's Xcode 3 integrated development
# environment (see:
# https://developer.apple.com/xcode/), introduced with OSX 10.5 (Leopard). To
# create a documentation set, doxygen will generate a Makefile in the HTML
# output directory. Running make will produce the docset in that directory and
# running make install will install the docset in
# ~/Library/Developer/Shared/Documentation/DocSets so that Xcode will find it at
# startup. See https://developer.apple.com/library/archive/featuredarticles/Doxy
# genXcode/_index.html for more information.
# The default value is: NO.
# This tag requires that the tag GENERATE_HTML is set to YES.
GENERATE_DOCSET = NO
# This tag determines the name of the docset feed. A documentation feed provides
# an umbrella under which multiple documentation sets from a single provider
# (such as a company or product suite) can be grouped.
# The default value is: Doxygen generated docs.
# This tag requires that the tag GENERATE_DOCSET is set to YES.
DOCSET_FEEDNAME = "Doxygen generated docs"
# This tag specifies a string that should uniquely identify the documentation
# set bundle. This should be a reverse domain-name style string, e.g.
# com.mycompany.MyDocSet. Doxygen will append .docset to the name.
# The default value is: org.doxygen.Project.
# This tag requires that the tag GENERATE_DOCSET is set to YES.
DOCSET_BUNDLE_ID = org.doxygen.Project
# The DOCSET_PUBLISHER_ID tag specifies a string that should uniquely identify
# the documentation publisher. This should be a reverse domain-name style
# string, e.g. com.mycompany.MyDocSet.documentation.
# The default value is: org.doxygen.Publisher.
# This tag requires that the tag GENERATE_DOCSET is set to YES.
DOCSET_PUBLISHER_ID = org.doxygen.Publisher
# The DOCSET_PUBLISHER_NAME tag identifies the documentation publisher.
# The default value is: Publisher.
# This tag requires that the tag GENERATE_DOCSET is set to YES.
DOCSET_PUBLISHER_NAME = Publisher
# If the GENERATE_HTMLHELP tag is set to YES then doxygen generates three
# additional HTML index files: index.hhp, index.hhc, and index.hhk. The
# index.hhp is a project file that can be read by Microsoft's HTML Help Workshop
# (see:
# https://www.microsoft.com/en-us/download/details.aspx?id=21138) on Windows.
#
# The HTML Help Workshop contains a compiler that can convert all HTML output
# generated by doxygen into a single compiled HTML file (.chm). Compiled HTML
# files are now used as the Windows 98 help format, and will replace the old
# Windows help format (.hlp) on all Windows platforms in the future. Compressed
# HTML files also contain an index, a table of contents, and you can search for
# words in the documentation. The HTML workshop also contains a viewer for
# compressed HTML files.
# The default value is: NO.
# This tag requires that the tag GENERATE_HTML is set to YES.
GENERATE_HTMLHELP = NO
# The CHM_FILE tag can be used to specify the file name of the resulting .chm
# file. You can add a path in front of the file if the result should not be
# written to the html output directory.
# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
CHM_FILE =
# The HHC_LOCATION tag can be used to specify the location (absolute path
# including file name) of the HTML help compiler (hhc.exe). If non-empty,
# doxygen will try to run the HTML help compiler on the generated index.hhp.
# The file has to be specified with full path.
# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
HHC_LOCATION =
# The GENERATE_CHI flag controls if a separate .chi index file is generated
# (YES) or that it should be included in the main .chm file (NO).
# The default value is: NO.
# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
GENERATE_CHI = NO
# The CHM_INDEX_ENCODING is used to encode HtmlHelp index (hhk), content (hhc)
# and project file content.
# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
CHM_INDEX_ENCODING =
# The BINARY_TOC flag controls whether a binary table of contents is generated
# (YES) or a normal table of contents (NO) in the .chm file. Furthermore it
# enables the Previous and Next buttons.
# The default value is: NO.
# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
BINARY_TOC = NO
# The TOC_EXPAND flag can be set to YES to add extra items for group members to
# the table of contents of the HTML help documentation and to the tree view.
# The default value is: NO.
# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
TOC_EXPAND = NO
# If the GENERATE_QHP tag is set to YES and both QHP_NAMESPACE and
# QHP_VIRTUAL_FOLDER are set, an additional index file will be generated that
# can be used as input for Qt's qhelpgenerator to generate a Qt Compressed Help
# (.qch) of the generated HTML documentation.
# The default value is: NO.
# This tag requires that the tag GENERATE_HTML is set to YES.
GENERATE_QHP = NO
# If the QHG_LOCATION tag is specified, the QCH_FILE tag can be used to specify
# the file name of the resulting .qch file. The path specified is relative to
# the HTML output folder.
# This tag requires that the tag GENERATE_QHP is set to YES.
QCH_FILE =
# The QHP_NAMESPACE tag specifies the namespace to use when generating Qt Help
# Project output. For more information please see Qt Help Project / Namespace
# (see:
# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#namespace).
# The default value is: org.doxygen.Project.
# This tag requires that the tag GENERATE_QHP is set to YES.
QHP_NAMESPACE = org.doxygen.Project
# The QHP_VIRTUAL_FOLDER tag specifies the namespace to use when generating Qt
# Help Project output. For more information please see Qt Help Project / Virtual
# Folders (see:
# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#virtual-folders).
# The default value is: doc.
# This tag requires that the tag GENERATE_QHP is set to YES.
QHP_VIRTUAL_FOLDER = doc
# If the QHP_CUST_FILTER_NAME tag is set, it specifies the name of a custom
# filter to add. For more information please see Qt Help Project / Custom
# Filters (see:
# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#custom-filters).
# This tag requires that the tag GENERATE_QHP is set to YES.
QHP_CUST_FILTER_NAME =
# The QHP_CUST_FILTER_ATTRS tag specifies the list of the attributes of the
# custom filter to add. For more information please see Qt Help Project / Custom
# Filters (see:
# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#custom-filters).
# This tag requires that the tag GENERATE_QHP is set to YES.
QHP_CUST_FILTER_ATTRS =
# The QHP_SECT_FILTER_ATTRS tag specifies the list of the attributes this
# project's filter section matches. Qt Help Project / Filter Attributes (see:
# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#filter-attributes).
# This tag requires that the tag GENERATE_QHP is set to YES.
QHP_SECT_FILTER_ATTRS =
# The QHG_LOCATION tag can be used to specify the location (absolute path
# including file name) of Qt's qhelpgenerator. If non-empty doxygen will try to
# run qhelpgenerator on the generated .qhp file.
# This tag requires that the tag GENERATE_QHP is set to YES.
QHG_LOCATION =
# If the GENERATE_ECLIPSEHELP tag is set to YES, additional index files will be
# generated, together with the HTML files, they form an Eclipse help plugin. To
# install this plugin and make it available under the help contents menu in
# Eclipse, the contents of the directory containing the HTML and XML files needs
# to be copied into the plugins directory of eclipse. The name of the directory
# within the plugins directory should be the same as the ECLIPSE_DOC_ID value.
# After copying Eclipse needs to be restarted before the help appears.
# The default value is: NO.
# This tag requires that the tag GENERATE_HTML is set to YES.
GENERATE_ECLIPSEHELP = NO
# A unique identifier for the Eclipse help plugin. When installing the plugin
# the directory name containing the HTML and XML files should also have this
# name. Each documentation set should have its own identifier.
# The default value is: org.doxygen.Project.
# This tag requires that the tag GENERATE_ECLIPSEHELP is set to YES.
ECLIPSE_DOC_ID = org.doxygen.Project
# If you want full control over the layout of the generated HTML pages it might
# be necessary to disable the index and replace it with your own. The
# DISABLE_INDEX tag can be used to turn on/off the condensed index (tabs) at top
# of each HTML page. A value of NO enables the index and the value YES disables
# it. Since the tabs in the index contain the same information as the navigation
# tree, you can set this option to YES if you also set GENERATE_TREEVIEW to YES.
# The default value is: NO.
# This tag requires that the tag GENERATE_HTML is set to YES.
DISABLE_INDEX = NO
# The GENERATE_TREEVIEW tag is used to specify whether a tree-like index
# structure should be generated to display hierarchical information. If the tag
# value is set to YES, a side panel will be generated containing a tree-like
# index structure (just like the one that is generated for HTML Help). For this
# to work a browser that supports JavaScript, DHTML, CSS and frames is required
# (i.e. any modern browser). Windows users are probably better off using the
# HTML help feature. Via custom style sheets (see HTML_EXTRA_STYLESHEET) one can
# further fine-tune the look of the index. As an example, the default style
# sheet generated by doxygen has an example that shows how to put an image at
# the root of the tree instead of the PROJECT_NAME. Since the tree basically has
# the same information as the tab index, you could consider setting
# DISABLE_INDEX to YES when enabling this option.
# The default value is: NO.
# This tag requires that the tag GENERATE_HTML is set to YES.
GENERATE_TREEVIEW = NO
# The ENUM_VALUES_PER_LINE tag can be used to set the number of enum values that
# doxygen will group on one line in the generated HTML documentation.
#
# Note that a value of 0 will completely suppress the enum values from appearing
# in the overview section.
# Minimum value: 0, maximum value: 20, default value: 4.
# This tag requires that the tag GENERATE_HTML is set to YES.
ENUM_VALUES_PER_LINE = 4
# If the treeview is enabled (see GENERATE_TREEVIEW) then this tag can be used
# to set the initial width (in pixels) of the frame in which the tree is shown.
# Minimum value: 0, maximum value: 1500, default value: 250.
# This tag requires that the tag GENERATE_HTML is set to YES.
TREEVIEW_WIDTH = 250
# If the EXT_LINKS_IN_WINDOW option is set to YES, doxygen will open links to
# external symbols imported via tag files in a separate window.
# The default value is: NO.
# This tag requires that the tag GENERATE_HTML is set to YES.
EXT_LINKS_IN_WINDOW = NO
# If the HTML_FORMULA_FORMAT option is set to svg, doxygen will use the pdf2svg
# tool (see https://github.com/dawbarton/pdf2svg) or inkscape (see
# https://inkscape.org) to generate formulas as SVG images instead of PNGs for
# the HTML output. These images will generally look nicer at scaled resolutions.
# Possible values are: png (the default) and svg (looks nicer but requires the
# pdf2svg or inkscape tool).
# The default value is: png.
# This tag requires that the tag GENERATE_HTML is set to YES.
HTML_FORMULA_FORMAT = png
# Use this tag to change the font size of LaTeX formulas included as images in
# the HTML documentation. When you change the font size after a successful
# doxygen run you need to manually remove any form_*.png images from the HTML
# output directory to force them to be regenerated.
# Minimum value: 8, maximum value: 50, default value: 10.
# This tag requires that the tag GENERATE_HTML is set to YES.
FORMULA_FONTSIZE = 10
# Use the FORMULA_TRANSPARENT tag to determine whether or not the images
# generated for formulas are transparent PNGs. Transparent PNGs are not
# supported properly for IE 6.0, but are supported on all modern browsers.
#
# Note that when changing this option you need to delete any form_*.png files in
# the HTML output directory before the changes have effect.
# The default value is: YES.
# This tag requires that the tag GENERATE_HTML is set to YES.
FORMULA_TRANSPARENT = YES
# The FORMULA_MACROFILE can contain LaTeX \newcommand and \renewcommand commands
# to create new LaTeX commands to be used in formulas as building blocks. See
# the section "Including formulas" for details.
FORMULA_MACROFILE =
# Enable the USE_MATHJAX option to render LaTeX formulas using MathJax (see
# https://www.mathjax.org) which uses client side JavaScript for the rendering
# instead of using pre-rendered bitmaps. Use this if you do not have LaTeX
# installed or if you want to formulas look prettier in the HTML output. When
# enabled you may also need to install MathJax separately and configure the path
# to it using the MATHJAX_RELPATH option.
# The default value is: NO.
# This tag requires that the tag GENERATE_HTML is set to YES.
USE_MATHJAX = NO
# When MathJax is enabled you can set the default output format to be used for
# the MathJax output. See the MathJax site (see:
# http://docs.mathjax.org/en/v2.7-latest/output.html) for more details.
# Possible values are: HTML-CSS (which is slower, but has the best
# compatibility), NativeMML (i.e. MathML) and SVG.
# The default value is: HTML-CSS.
# This tag requires that the tag USE_MATHJAX is set to YES.
MATHJAX_FORMAT = HTML-CSS
# When MathJax is enabled you need to specify the location relative to the HTML
# output directory using the MATHJAX_RELPATH option. The destination directory
# should contain the MathJax.js script. For instance, if the mathjax directory
# is located at the same level as the HTML output directory, then
# MATHJAX_RELPATH should be ../mathjax. The default value points to the MathJax
# Content Delivery Network so you can quickly see the result without installing
# MathJax. However, it is strongly recommended to install a local copy of
# MathJax from https://www.mathjax.org before deployment.
# The default value is: https://cdn.jsdelivr.net/npm/mathjax@2.
# This tag requires that the tag USE_MATHJAX is set to YES.
MATHJAX_RELPATH = http://cdn.mathjax.org/mathjax/latest
# The MATHJAX_EXTENSIONS tag can be used to specify one or more MathJax
# extension names that should be enabled during MathJax rendering. For example
# MATHJAX_EXTENSIONS = TeX/AMSmath TeX/AMSsymbols
# This tag requires that the tag USE_MATHJAX is set to YES.
MATHJAX_EXTENSIONS =
# The MATHJAX_CODEFILE tag can be used to specify a file with javascript pieces
# of code that will be used on startup of the MathJax code. See the MathJax site
# (see:
# http://docs.mathjax.org/en/v2.7-latest/output.html) for more details. For an
# example see the documentation.
# This tag requires that the tag USE_MATHJAX is set to YES.
MATHJAX_CODEFILE =
# When the SEARCHENGINE tag is enabled doxygen will generate a search box for
# the HTML output. The underlying search engine uses javascript and DHTML and
# should work on any modern browser. Note that when using HTML help
# (GENERATE_HTMLHELP), Qt help (GENERATE_QHP), or docsets (GENERATE_DOCSET)
# there is already a search function so this one should typically be disabled.
# For large projects the javascript based search engine can be slow, then
# enabling SERVER_BASED_SEARCH may provide a better solution. It is possible to
# search using the keyboard; to jump to the search box use <access key> + S
# (what the <access key> is depends on the OS and browser, but it is typically
# <CTRL>, <ALT>/<option>, or both). Inside the search box use the <cursor down
# key> to jump into the search results window, the results can be navigated
# using the <cursor keys>. Press <Enter> to select an item or <escape> to cancel
# the search. The filter options can be selected when the cursor is inside the
# search box by pressing <Shift>+<cursor down>. Also here use the <cursor keys>
# to select a filter and <Enter> or <escape> to activate or cancel the filter
# option.
# The default value is: YES.
# This tag requires that the tag GENERATE_HTML is set to YES.
SEARCHENGINE = YES
# When the SERVER_BASED_SEARCH tag is enabled the search engine will be
# implemented using a web server instead of a web client using JavaScript. There
# are two flavors of web server based searching depending on the EXTERNAL_SEARCH
# setting. When disabled, doxygen will generate a PHP script for searching and
# an index file used by the script. When EXTERNAL_SEARCH is enabled the indexing
# and searching needs to be provided by external tools. See the section
# "External Indexing and Searching" for details.
# The default value is: NO.
# This tag requires that the tag SEARCHENGINE is set to YES.
SERVER_BASED_SEARCH = NO
# When EXTERNAL_SEARCH tag is enabled doxygen will no longer generate the PHP
# script for searching. Instead the search results are written to an XML file
# which needs to be processed by an external indexer. Doxygen will invoke an
# external search engine pointed to by the SEARCHENGINE_URL option to obtain the
# search results.
#
# Doxygen ships with an example indexer (doxyindexer) and search engine
# (doxysearch.cgi) which are based on the open source search engine library
# Xapian (see:
# https://xapian.org/).
#
# See the section "External Indexing and Searching" for details.
# The default value is: NO.
# This tag requires that the tag SEARCHENGINE is set to YES.
EXTERNAL_SEARCH = NO
# The SEARCHENGINE_URL should point to a search engine hosted by a web server
# which will return the search results when EXTERNAL_SEARCH is enabled.
#
# Doxygen ships with an example indexer (doxyindexer) and search engine
# (doxysearch.cgi) which are based on the open source search engine library
# Xapian (see:
# https://xapian.org/). See the section "External Indexing and Searching" for
# details.
# This tag requires that the tag SEARCHENGINE is set to YES.
SEARCHENGINE_URL =
# When SERVER_BASED_SEARCH and EXTERNAL_SEARCH are both enabled the unindexed
# search data is written to a file for indexing by an external tool. With the
# SEARCHDATA_FILE tag the name of this file can be specified.
# The default file is: searchdata.xml.
# This tag requires that the tag SEARCHENGINE is set to YES.
SEARCHDATA_FILE = searchdata.xml
# When SERVER_BASED_SEARCH and EXTERNAL_SEARCH are both enabled the
# EXTERNAL_SEARCH_ID tag can be used as an identifier for the project. This is
# useful in combination with EXTRA_SEARCH_MAPPINGS to search through multiple
# projects and redirect the results back to the right project.
# This tag requires that the tag SEARCHENGINE is set to YES.
EXTERNAL_SEARCH_ID =
# The EXTRA_SEARCH_MAPPINGS tag can be used to enable searching through doxygen
# projects other than the one defined by this configuration file, but that are
# all added to the same external search index. Each project needs to have a
# unique id set via EXTERNAL_SEARCH_ID. The search mapping then maps the id of
# to a relative location where the documentation can be found. The format is:
# EXTRA_SEARCH_MAPPINGS = tagname1=loc1 tagname2=loc2 ...
# This tag requires that the tag SEARCHENGINE is set to YES.
EXTRA_SEARCH_MAPPINGS =
#---------------------------------------------------------------------------
# Configuration options related to the LaTeX output
#---------------------------------------------------------------------------
# If the GENERATE_LATEX tag is set to YES, doxygen will generate LaTeX output.
# The default value is: YES.
GENERATE_LATEX = NO
# The LATEX_OUTPUT tag is used to specify where the LaTeX docs will be put. If a
# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
# it.
# The default directory is: latex.
# This tag requires that the tag GENERATE_LATEX is set to YES.
LATEX_OUTPUT = latex
# The LATEX_CMD_NAME tag can be used to specify the LaTeX command name to be
# invoked.
#
# Note that when not enabling USE_PDFLATEX the default is latex when enabling
# USE_PDFLATEX the default is pdflatex and when in the later case latex is
# chosen this is overwritten by pdflatex. For specific output languages the
# default can have been set differently, this depends on the implementation of
# the output language.
# This tag requires that the tag GENERATE_LATEX is set to YES.
LATEX_CMD_NAME = latex
# The MAKEINDEX_CMD_NAME tag can be used to specify the command name to generate
# index for LaTeX.
# Note: This tag is used in the Makefile / make.bat.
# See also: LATEX_MAKEINDEX_CMD for the part in the generated output file
# (.tex).
# The default file is: makeindex.
# This tag requires that the tag GENERATE_LATEX is set to YES.
MAKEINDEX_CMD_NAME = makeindex
# The LATEX_MAKEINDEX_CMD tag can be used to specify the command name to
# generate index for LaTeX. In case there is no backslash (\) as first character
# it will be automatically added in the LaTeX code.
# Note: This tag is used in the generated output file (.tex).
# See also: MAKEINDEX_CMD_NAME for the part in the Makefile / make.bat.
# The default value is: makeindex.
# This tag requires that the tag GENERATE_LATEX is set to YES.
LATEX_MAKEINDEX_CMD = makeindex
# If the COMPACT_LATEX tag is set to YES, doxygen generates more compact LaTeX
# documents. This may be useful for small projects and may help to save some
# trees in general.
# The default value is: NO.
# This tag requires that the tag GENERATE_LATEX is set to YES.
COMPACT_LATEX = NO
# The PAPER_TYPE tag can be used to set the paper type that is used by the
# printer.
# Possible values are: a4 (210 x 297 mm), letter (8.5 x 11 inches), legal (8.5 x
# 14 inches) and executive (7.25 x 10.5 inches).
# The default value is: a4.
# This tag requires that the tag GENERATE_LATEX is set to YES.
PAPER_TYPE = a4
# The EXTRA_PACKAGES tag can be used to specify one or more LaTeX package names
# that should be included in the LaTeX output. The package can be specified just
# by its name or with the correct syntax as to be used with the LaTeX
# \usepackage command. To get the times font for instance you can specify :
# EXTRA_PACKAGES=times or EXTRA_PACKAGES={times}
# To use the option intlimits with the amsmath package you can specify:
# EXTRA_PACKAGES=[intlimits]{amsmath}
# If left blank no extra packages will be included.
# This tag requires that the tag GENERATE_LATEX is set to YES.
EXTRA_PACKAGES =
# The LATEX_HEADER tag can be used to specify a personal LaTeX header for the
# generated LaTeX document. The header should contain everything until the first
# chapter. If it is left blank doxygen will generate a standard header. See
# section "Doxygen usage" for information on how to let doxygen write the
# default header to a separate file.
#
# Note: Only use a user-defined header if you know what you are doing! The
# following commands have a special meaning inside the header: $title,
# $datetime, $date, $doxygenversion, $projectname, $projectnumber,
# $projectbrief, $projectlogo. Doxygen will replace $title with the empty
# string, for the replacement values of the other commands the user is referred
# to HTML_HEADER.
# This tag requires that the tag GENERATE_LATEX is set to YES.
LATEX_HEADER =
# The LATEX_FOOTER tag can be used to specify a personal LaTeX footer for the
# generated LaTeX document. The footer should contain everything after the last
# chapter. If it is left blank doxygen will generate a standard footer. See
# LATEX_HEADER for more information on how to generate a default footer and what
# special commands can be used inside the footer.
#
# Note: Only use a user-defined footer if you know what you are doing!
# This tag requires that the tag GENERATE_LATEX is set to YES.
LATEX_FOOTER =
# The LATEX_EXTRA_STYLESHEET tag can be used to specify additional user-defined
# LaTeX style sheets that are included after the standard style sheets created
# by doxygen. Using this option one can overrule certain style aspects. Doxygen
# will copy the style sheet files to the output directory.
# Note: The order of the extra style sheet files is of importance (e.g. the last
# style sheet in the list overrules the setting of the previous ones in the
# list).
# This tag requires that the tag GENERATE_LATEX is set to YES.
LATEX_EXTRA_STYLESHEET =
# The LATEX_EXTRA_FILES tag can be used to specify one or more extra images or
# other source files which should be copied to the LATEX_OUTPUT output
# directory. Note that the files will be copied as-is; there are no commands or
# markers available.
# This tag requires that the tag GENERATE_LATEX is set to YES.
LATEX_EXTRA_FILES =
# If the PDF_HYPERLINKS tag is set to YES, the LaTeX that is generated is
# prepared for conversion to PDF (using ps2pdf or pdflatex). The PDF file will
# contain links (just like the HTML output) instead of page references. This
# makes the output suitable for online browsing using a PDF viewer.
# The default value is: YES.
# This tag requires that the tag GENERATE_LATEX is set to YES.
PDF_HYPERLINKS = YES
# If the USE_PDFLATEX tag is set to YES, doxygen will use the engine as
# specified with LATEX_CMD_NAME to generate the PDF file directly from the LaTeX
# files. Set this option to YES, to get a higher quality PDF documentation.
#
# See also section LATEX_CMD_NAME for selecting the engine.
# The default value is: YES.
# This tag requires that the tag GENERATE_LATEX is set to YES.
USE_PDFLATEX = YES
# If the LATEX_BATCHMODE tag is set to YES, doxygen will add the \batchmode
# command to the generated LaTeX files. This will instruct LaTeX to keep running
# if errors occur, instead of asking the user for help. This option is also used
# when generating formulas in HTML.
# The default value is: NO.
# This tag requires that the tag GENERATE_LATEX is set to YES.
LATEX_BATCHMODE = NO
# If the LATEX_HIDE_INDICES tag is set to YES then doxygen will not include the
# index chapters (such as File Index, Compound Index, etc.) in the output.
# The default value is: NO.
# This tag requires that the tag GENERATE_LATEX is set to YES.
LATEX_HIDE_INDICES = NO
# If the LATEX_SOURCE_CODE tag is set to YES then doxygen will include source
# code with syntax highlighting in the LaTeX output.
#
# Note that which sources are shown also depends on other settings such as
# SOURCE_BROWSER.
# The default value is: NO.
# This tag requires that the tag GENERATE_LATEX is set to YES.
LATEX_SOURCE_CODE = NO
# The LATEX_BIB_STYLE tag can be used to specify the style to use for the
# bibliography, e.g. plainnat, or ieeetr. See
# https://en.wikipedia.org/wiki/BibTeX and \cite for more info.
# The default value is: plain.
# This tag requires that the tag GENERATE_LATEX is set to YES.
LATEX_BIB_STYLE = plain
# If the LATEX_TIMESTAMP tag is set to YES then the footer of each generated
# page will contain the date and time when the page was generated. Setting this
# to NO can help when comparing the output of multiple runs.
# The default value is: NO.
# This tag requires that the tag GENERATE_LATEX is set to YES.
LATEX_TIMESTAMP = NO
# The LATEX_EMOJI_DIRECTORY tag is used to specify the (relative or absolute)
# path from which the emoji images will be read. If a relative path is entered,
# it will be relative to the LATEX_OUTPUT directory. If left blank the
# LATEX_OUTPUT directory will be used.
# This tag requires that the tag GENERATE_LATEX is set to YES.
LATEX_EMOJI_DIRECTORY =
#---------------------------------------------------------------------------
# Configuration options related to the RTF output
#---------------------------------------------------------------------------
# If the GENERATE_RTF tag is set to YES, doxygen will generate RTF output. The
# RTF output is optimized for Word 97 and may not look too pretty with other RTF
# readers/editors.
# The default value is: NO.
GENERATE_RTF = NO
# The RTF_OUTPUT tag is used to specify where the RTF docs will be put. If a
# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
# it.
# The default directory is: rtf.
# This tag requires that the tag GENERATE_RTF is set to YES.
RTF_OUTPUT = rtf
# If the COMPACT_RTF tag is set to YES, doxygen generates more compact RTF
# documents. This may be useful for small projects and may help to save some
# trees in general.
# The default value is: NO.
# This tag requires that the tag GENERATE_RTF is set to YES.
COMPACT_RTF = NO
# If the RTF_HYPERLINKS tag is set to YES, the RTF that is generated will
# contain hyperlink fields. The RTF file will contain links (just like the HTML
# output) instead of page references. This makes the output suitable for online
# browsing using Word or some other Word compatible readers that support those
# fields.
#
# Note: WordPad (write) and others do not support links.
# The default value is: NO.
# This tag requires that the tag GENERATE_RTF is set to YES.
RTF_HYPERLINKS = NO
# Load stylesheet definitions from file. Syntax is similar to doxygen's
# configuration file, i.e. a series of assignments. You only have to provide
# replacements, missing definitions are set to their default value.
#
# See also section "Doxygen usage" for information on how to generate the
# default style sheet that doxygen normally uses.
# This tag requires that the tag GENERATE_RTF is set to YES.
RTF_STYLESHEET_FILE =
# Set optional variables used in the generation of an RTF document. Syntax is
# similar to doxygen's configuration file. A template extensions file can be
# generated using doxygen -e rtf extensionFile.
# This tag requires that the tag GENERATE_RTF is set to YES.
RTF_EXTENSIONS_FILE =
# If the RTF_SOURCE_CODE tag is set to YES then doxygen will include source code
# with syntax highlighting in the RTF output.
#
# Note that which sources are shown also depends on other settings such as
# SOURCE_BROWSER.
# The default value is: NO.
# This tag requires that the tag GENERATE_RTF is set to YES.
RTF_SOURCE_CODE = NO
#---------------------------------------------------------------------------
# Configuration options related to the man page output
#---------------------------------------------------------------------------
# If the GENERATE_MAN tag is set to YES, doxygen will generate man pages for
# classes and files.
# The default value is: NO.
GENERATE_MAN = NO
# The MAN_OUTPUT tag is used to specify where the man pages will be put. If a
# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
# it. A directory man3 will be created inside the directory specified by
# MAN_OUTPUT.
# The default directory is: man.
# This tag requires that the tag GENERATE_MAN is set to YES.
MAN_OUTPUT = man
# The MAN_EXTENSION tag determines the extension that is added to the generated
# man pages. In case the manual section does not start with a number, the number
# 3 is prepended. The dot (.) at the beginning of the MAN_EXTENSION tag is
# optional.
# The default value is: .3.
# This tag requires that the tag GENERATE_MAN is set to YES.
MAN_EXTENSION = .3
# The MAN_SUBDIR tag determines the name of the directory created within
# MAN_OUTPUT in which the man pages are placed. If defaults to man followed by
# MAN_EXTENSION with the initial . removed.
# This tag requires that the tag GENERATE_MAN is set to YES.
MAN_SUBDIR =
# If the MAN_LINKS tag is set to YES and doxygen generates man output, then it
# will generate one additional man file for each entity documented in the real
# man page(s). These additional files only source the real man page, but without
# them the man command would be unable to find the correct page.
# The default value is: NO.
# This tag requires that the tag GENERATE_MAN is set to YES.
MAN_LINKS = NO
#---------------------------------------------------------------------------
# Configuration options related to the XML output
#---------------------------------------------------------------------------
# If the GENERATE_XML tag is set to YES, doxygen will generate an XML file that
# captures the structure of the code including all documentation.
# The default value is: NO.
GENERATE_XML = YES
# The XML_OUTPUT tag is used to specify where the XML pages will be put. If a
# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
# it.
# The default directory is: xml.
# This tag requires that the tag GENERATE_XML is set to YES.
XML_OUTPUT = xml
# If the XML_PROGRAMLISTING tag is set to YES, doxygen will dump the program
# listings (including syntax highlighting and cross-referencing information) to
# the XML output. Note that enabling this will significantly increase the size
# of the XML output.
# The default value is: YES.
# This tag requires that the tag GENERATE_XML is set to YES.
XML_PROGRAMLISTING = YES
# If the XML_NS_MEMB_FILE_SCOPE tag is set to YES, doxygen will include
# namespace members in file scope as well, matching the HTML output.
# The default value is: NO.
# This tag requires that the tag GENERATE_XML is set to YES.
XML_NS_MEMB_FILE_SCOPE = NO
#---------------------------------------------------------------------------
# Configuration options related to the DOCBOOK output
#---------------------------------------------------------------------------
# If the GENERATE_DOCBOOK tag is set to YES, doxygen will generate Docbook files
# that can be used to generate PDF.
# The default value is: NO.
GENERATE_DOCBOOK = NO
# The DOCBOOK_OUTPUT tag is used to specify where the Docbook pages will be put.
# If a relative path is entered the value of OUTPUT_DIRECTORY will be put in
# front of it.
# The default directory is: docbook.
# This tag requires that the tag GENERATE_DOCBOOK is set to YES.
DOCBOOK_OUTPUT = docbook
# If the DOCBOOK_PROGRAMLISTING tag is set to YES, doxygen will include the
# program listings (including syntax highlighting and cross-referencing
# information) to the DOCBOOK output. Note that enabling this will significantly
# increase the size of the DOCBOOK output.
# The default value is: NO.
# This tag requires that the tag GENERATE_DOCBOOK is set to YES.
DOCBOOK_PROGRAMLISTING = NO
#---------------------------------------------------------------------------
# Configuration options for the AutoGen Definitions output
#---------------------------------------------------------------------------
# If the GENERATE_AUTOGEN_DEF tag is set to YES, doxygen will generate an
# AutoGen Definitions (see http://autogen.sourceforge.net/) file that captures
# the structure of the code including all documentation. Note that this feature
# is still experimental and incomplete at the moment.
# The default value is: NO.
GENERATE_AUTOGEN_DEF = NO
#---------------------------------------------------------------------------
# Configuration options related to the Perl module output
#---------------------------------------------------------------------------
# If the GENERATE_PERLMOD tag is set to YES, doxygen will generate a Perl module
# file that captures the structure of the code including all documentation.
#
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#---------------------------------------------------------------------------
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# If the TEMPLATE_RELATIONS tag is set to YES then the inheritance and
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# command).
MSCFILE_DIRS =
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# contain dia files that are included in the documentation (see the \diafile
# command).
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# the !include statement in a plantuml block.
PLANTUML_INCLUDE_PATH =
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# DOT_GRAPH_MAX_NODES then the graph will not be shown at all. Also note that
# the size of a graph can be further restricted by MAX_DOT_GRAPH_DEPTH.
# Minimum value: 0, maximum value: 10000, default value: 50.
# This tag requires that the tag HAVE_DOT is set to YES.
DOT_GRAPH_MAX_NODES = 50
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# generated by dot. A depth value of 3 means that only nodes reachable from the
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MAX_DOT_GRAPH_DEPTH = 0
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# background. This is disabled by default, because dot on Windows does not seem
# to support this out of the box.
#
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# badly anti-aliased labels on the edges of a graph (i.e. they become hard to
# read).
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DOT_TRANSPARENT = NO
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# files in one run (i.e. multiple -o and -T options on the command line). This
# makes dot run faster, but since only newer versions of dot (>1.8.10) support
# this, this feature is disabled by default.
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DOT_MULTI_TARGETS = NO
# If the GENERATE_LEGEND tag is set to YES doxygen will generate a legend page
# explaining the meaning of the various boxes and arrows in the dot generated
# graphs.
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GENERATE_LEGEND = YES
# If the DOT_CLEANUP tag is set to YES, doxygen will remove the intermediate
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# plantuml temporary files.
# The default value is: YES.
DOT_CLEANUP = YES
| 0 |
rapidsai_public_repos/rmm
|
rapidsai_public_repos/rmm/doxygen/header.html
|
<!-- HTML header for doxygen 1.8.20-->
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
<meta http-equiv="X-UA-Compatible" content="IE=9"/>
<meta name="generator" content="Doxygen $doxygenversion"/>
<meta name="viewport" content="width=device-width, initial-scale=1"/>
<!--BEGIN PROJECT_NAME--><title>$projectname: $title</title><!--END PROJECT_NAME-->
<!--BEGIN !PROJECT_NAME--><title>$title</title><!--END !PROJECT_NAME-->
<link href="$relpath^tabs.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="$relpath^jquery.js"></script>
<script type="text/javascript" src="$relpath^dynsections.js"></script>
$treeview
$search
$mathjax
<link href="$relpath^$stylesheet" rel="stylesheet" type="text/css" />
$extrastylesheet
<!-- RAPIDS CUSTOM JS & CSS: START, Please add these two lines back after every version upgrade -->
<script defer src="https://docs.rapids.ai/assets/js/custom.js"></script>
<link rel="stylesheet" href="https://docs.rapids.ai/assets/css/custom.css">
<!-- RAPIDS CUSTOM JS & CSS: END -->
</head>
<body>
<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
<!--BEGIN TITLEAREA-->
<div id="titlearea">
<table cellspacing="0" cellpadding="0">
<tbody>
<tr style="height: 56px;">
<!--BEGIN PROJECT_LOGO-->
<td id="projectlogo"><img alt="Logo" src="$relpath^$projectlogo"/></td>
<!--END PROJECT_LOGO-->
<!--BEGIN PROJECT_NAME-->
<td id="projectalign" style="padding-left: 0.5em;">
<div id="projectname">$projectname
<!--BEGIN PROJECT_NUMBER--> <span id="projectnumber">$projectnumber</span><!--END PROJECT_NUMBER-->
</div>
<!--BEGIN PROJECT_BRIEF--><div id="projectbrief">$projectbrief</div><!--END PROJECT_BRIEF-->
</td>
<!--END PROJECT_NAME-->
<!--BEGIN !PROJECT_NAME-->
<!--BEGIN PROJECT_BRIEF-->
<td style="padding-left: 0.5em;">
<div id="projectbrief">$projectbrief</div>
</td>
<!--END PROJECT_BRIEF-->
<!--END !PROJECT_NAME-->
<!--BEGIN DISABLE_INDEX-->
<!--BEGIN SEARCHENGINE-->
<td>$searchbox</td>
<!--END SEARCHENGINE-->
<!--END DISABLE_INDEX-->
</tr>
</tbody>
</table>
</div>
<!--END TITLEAREA-->
<!-- end header part -->
| 0 |
rapidsai_public_repos
|
rapidsai_public_repos/GaaS/README.md
|
# <center>ARCHIVED</center>
This repo is no longer under development or support. All issues/PRs will be ignored
The GaaS code has been merged into the main cuGraph monorepo and is now called cugraph-service
Please use https://github.com/rapidsai/cugraph to submit issues and retrieve the latest sources.
# <center>ARCHIVED</center>
| 0 |
rapidsai_public_repos
|
rapidsai_public_repos/GaaS/CHANGELOG.md
|
# GaaS 22.08.00 (Date TBD)
| 0 |
rapidsai_public_repos
|
rapidsai_public_repos/GaaS/LICENSE
|
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
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Licensed under the Apache License, Version 2.0 (the "License");
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| 0 |
rapidsai_public_repos/GaaS/python
|
rapidsai_public_repos/GaaS/python/gaas_client/gaas_thrift.py
|
# Copyright (c) 2022, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import io
import thriftpy2
from thriftpy2.rpc import make_client
from thriftpy2.protocol import TBinaryProtocolFactory
from thriftpy2.server import TSimpleServer
from thriftpy2.thrift import TProcessor
from thriftpy2.transport import (
TBufferedTransportFactory,
TServerSocket,
TTransportException,
)
# This is the Thrift input file as a string rather than a separate file. This
# allows the Thrift input to be contained within the module that's responsible
# for all Thrift-specific details rather than a separate .thrift file.
#
# thriftpy2 (https://github.com/Thriftpy/thriftpy2) is being used here instead
# of Apache Thrift since it offers an easier-to-use API exclusively for Python
# which is still compatible with servers/cleints using Apache Thrift (Apache
# Thrift can be used from a variety of different languages) while offering
# approximately the same performance.
#
# See the Apache Thrift tutorial for Python for examples:
# https://thrift.apache.org/tutorial/py.html
gaas_thrift_spec = """
# FIXME: consider additional, more fine-grained exceptions
exception GaasError {
1:string message
}
struct BatchedEgoGraphsResult {
1:list<i32> src_verts
2:list<i32> dst_verts
3:list<double> edge_weights
4:list<i32> seeds_offsets
}
struct Node2vecResult {
1:list<i32> vertex_paths
2:list<double> edge_weights
3:list<i32> path_sizes
}
# FIXME: uniform_neighbor_sample may need to return indices as ints
# See: https://github.com/rapidsai/cugraph/issues/2654
struct UniformNeighborSampleResult {
1:list<i32> sources
2:list<i32> destinations
3:list<double> indices
}
union GraphVertexEdgeID {
1:i32 int32_id
2:i64 int64_id
3:list<i32> int32_ids
4:list<i64> int64_ids
}
union Value {
1:i32 int32_value
2:i64 int64_value
3:string string_value
4:bool bool_value
}
service GaasService {
##############################################################################
# Environment management
i32 uptime()
map<string, Value> get_server_info() throws (1:GaasError e),
i32 load_graph_creation_extensions(1:string extension_dir_path
) throws (1:GaasError e),
void unload_graph_creation_extensions(),
i32 call_graph_creation_extension(1:string func_name,
2:string func_args_repr,
3:string func_kwargs_repr
) throws (1:GaasError e),
##############################################################################
# Graph management
i32 create_graph() throws(1:GaasError e),
void delete_graph(1:i32 graph_id) throws (1:GaasError e),
list<i32> get_graph_ids() throws(1:GaasError e),
map<string, Value> get_graph_info(1:list<string> keys,
2:i32 graph_id
) throws(1:GaasError e),
void load_csv_as_vertex_data(1:string csv_file_name,
2:string delimiter,
3:list<string> dtypes,
4:i32 header,
5:string vertex_col_name,
6:string type_name,
7:list<string> property_columns,
8:i32 graph_id,
9:list<string> names
) throws (1:GaasError e),
void load_csv_as_edge_data(1:string csv_file_name,
2:string delimiter,
3:list<string> dtypes,
4:i32 header,
5:list<string> vertex_col_names,
6:string type_name,
7:list<string> property_columns,
8:i32 graph_id,
9:list<string> names
) throws (1:GaasError e),
list<i32> get_edge_IDs_for_vertices(1:list<i32> src_vert_IDs,
2:list<i32> dst_vert_IDs,
3:i32 graph_id
) throws (1:GaasError e),
i32 extract_subgraph(1:string create_using,
2:string selection,
3:string edge_weight_property,
4:double default_edge_weight,
5:bool allow_multi_edges,
6:bool renumber_graph,
7:bool add_edge_data,
8:i32 graph_id
) throws (1:GaasError e),
binary get_graph_vertex_data(1:GraphVertexEdgeID vertex_id,
2:Value null_replacement_value,
3:i32 graph_id,
4:list<string> property_keys
) throws (1:GaasError e),
binary get_graph_edge_data(1:GraphVertexEdgeID edge_id,
2:Value null_replacement_value
3:i32 graph_id,
4:list<string> property_keys
) throws (1:GaasError e),
bool is_vertex_property(1:string property_key,
2:i32 graph_id) throws (1:GaasError e),
bool is_edge_property(1:string property_key,
2:i32 graph_id) throws (1:GaasError e),
##############################################################################
# Algos
BatchedEgoGraphsResult
batched_ego_graphs(1:list<i32> seeds,
2:i32 radius,
3:i32 graph_id
) throws (1:GaasError e),
Node2vecResult
node2vec(1:list<i32> start_vertices,
2:i32 max_depth,
3:i32 graph_id
) throws (1:GaasError e),
UniformNeighborSampleResult
uniform_neighbor_sample(1:list<i32> start_list,
2:list<i32> fanout_vals,
3:bool with_replacement,
4:i32 graph_id
) throws (1:GaasError e),
##############################################################################
# Test/Debug
string get_graph_type(1:i32 graph_id) throws(1:GaasError e),
}
"""
# Load the GaaS Thrift specification on import. Syntax errors and other problems
# will be apparent immediately on import, and it allows any other module to
# import this and access the various types defined in the Thrift specification
# without being exposed to the thriftpy2 API.
spec = thriftpy2.load_fp(io.StringIO(gaas_thrift_spec),
module_name="gaas_thrift")
def create_server(handler, host, port, client_timeout=90000):
"""
Return a server object configured to listen on host/port and use the handler
object to handle calls from clients. The handler object must have an
interface compatible with the GaasService service defined in the Thrift
specification.
Note: This function is defined here in order to allow it to have easy access
to the Thrift spec loaded here on import, and to keep all thriftpy2 calls in
this module. However, this function is likely only called from the
gaas_server package which depends on the code in this package.
"""
proto_factory = TBinaryProtocolFactory()
trans_factory = TBufferedTransportFactory()
client_timeout = client_timeout
processor = TProcessor(spec.GaasService, handler)
server_socket = TServerSocket(host=host, port=port,
client_timeout=client_timeout)
server = TSimpleServer(processor, server_socket,
iprot_factory=proto_factory,
itrans_factory=trans_factory)
return server
def create_client(host, port, call_timeout=90000):
"""
Return a client object that will make calls on a server listening on
host/port.
The call_timeout value defaults to 90 seconds, and is used for setting the
timeout for server API calls when using the client created here - if a call
does not return in call_timeout milliseconds, an exception is raised.
"""
try:
return make_client(spec.GaasService, host=host, port=port,
timeout=call_timeout)
except TTransportException:
# Raise a GaaS exception in order to completely encapsulate all Thrift
# details in this module. If this was not done, callers of this function
# would have to import thriftpy2 in order to catch the
# TTransportException, which then leaks thriftpy2.
#
# NOTE: normally the GaasError exception is imported from the
# gaas_client.exceptions module, but since
# gaas_client.exceptions.GaasError is actually defined from the spec in
# this module, just use it directly from spec.
#
# FIXME: may need to have additional thrift exception handlers
# FIXME: this exception being raised could use more detail
raise spec.GaasError("could not create a client session with a "
"GaaS server")
| 0 |
rapidsai_public_repos/GaaS/python
|
rapidsai_public_repos/GaaS/python/gaas_client/types.py
|
# Copyright (c) 2022, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import numpy
from gaas_client.gaas_thrift import spec
Value = spec.Value
GraphVertexEdgeID = spec.GraphVertexEdgeID
BatchedEgoGraphsResult = spec.BatchedEgoGraphsResult
Node2vecResult = spec.Node2vecResult
UniformNeighborSampleResult = spec.UniformNeighborSampleResult
class UnionWrapper:
"""
Provides easy conversions between py objs and Thrift "unions".
"""
def get_py_obj(self):
not_members = set(["default_spec", "thrift_spec", "read", "write"])
attrs = [a for a in dir(self.union)
if not(a.startswith("_")) and a not in not_members]
for a in attrs:
val = getattr(self.union, a)
if val is not None:
return val
return None
class ValueWrapper(UnionWrapper):
def __init__(self, val, val_name="value"):
if isinstance(val, Value):
self.union = val
elif isinstance(val, int):
if val < 4294967296:
self.union = Value(int32_value=val)
else:
self.union = Value(int64_value=val)
elif isinstance(val, numpy.int32):
self.union = Value(int32_value=int(val))
elif isinstance(val, numpy.int64):
self.union = Value(int64_value=int(val))
elif isinstance(val, str):
self.union = Value(string_value=val)
elif isinstance(val, bool):
self.union = Value(bool_value=val)
else:
raise TypeError(f"{val_name} must be one of the "
"following types: [int, str, bool], got "
f"{type(val)}")
class GraphVertexEdgeIDWrapper(UnionWrapper):
def __init__(self, val, val_name="id"):
if isinstance(val, GraphVertexEdgeID):
self.union = val
elif isinstance(val, int):
if val >= 4294967296:
self.union = GraphVertexEdgeID(int64_id=val)
else:
self.union = GraphVertexEdgeID(int32_id=val)
elif isinstance(val, list):
# FIXME: this only check the first item, others could be larger
if val[0] >= 4294967296:
self.union = GraphVertexEdgeID(int64_ids=val)
else:
self.union = GraphVertexEdgeID(int32_ids=val)
else:
raise TypeError(f"{val_name} must be one of the "
"following types: [int, list<int>], got "
f"{type(val)}")
| 0 |
rapidsai_public_repos/GaaS/python
|
rapidsai_public_repos/GaaS/python/gaas_client/exceptions.py
|
# Copyright (c) 2022, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from gaas_client.gaas_thrift import spec
# FIXME: add more fine-grained exceptions!
GaasError = spec.GaasError
| 0 |
rapidsai_public_repos/GaaS/python
|
rapidsai_public_repos/GaaS/python/gaas_client/__init__.py
|
# Copyright (c) 2022, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from gaas_client.client import GaasClient
| 0 |
rapidsai_public_repos/GaaS/python
|
rapidsai_public_repos/GaaS/python/gaas_client/defaults.py
|
# Copyright (c) 2022, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
host = "localhost"
port = 9090
graph_id = 0
| 0 |
rapidsai_public_repos/GaaS/python
|
rapidsai_public_repos/GaaS/python/gaas_client/client.py
|
# Copyright (c) 2022, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from functools import wraps
from collections.abc import Sequence
import pickle
from gaas_client import defaults
from gaas_client.types import ValueWrapper, GraphVertexEdgeID
from gaas_client.gaas_thrift import create_client
class GaasClient:
"""
Client object for GaaS, which defines the API that clients can use to access
the GaaS server.
"""
def __init__(self, host=defaults.host, port=defaults.port):
"""
Creates a connection to a GaaS server running on host/port.
Parameters
----------
host : string, defaults to 127.0.0.1
Hostname where the GaaS server is running
port : int, defaults to 9090
Port number where the GaaS server is listening
Returns
-------
GaasClient object
Examples
--------
>>> from gaas_client import GaasClient
>>> client = GaasClient()
"""
self.host = host
self.port = port
self.__client = None
# If True, do not automatically close a server connection upon
# completion or error of a server API call. This requires the caller to
# manually call close() when done.
self.hold_open = False
def __del__(self):
self.close()
def __server_connection(method):
"""
Decorator for methods that require a connection to the server to be
created prior to calling a server function, then closed upon completion
or error. If self.hold_open is True, the automatic call to close() will
not take place, allowing for multiple subsequent server calls to be made
using the same connection. self.hold_open therefore requires the caller
to manually call close() in order to allow other clients to connect.
"""
@wraps(method)
def wrapped_method(self, *args, **kwargs):
self.open()
try:
ret_val = method(self, *args, **kwargs)
finally:
if not self.hold_open:
self.close()
return ret_val
return wrapped_method
def open(self, call_timeout=900000):
"""
Opens a connection to the server at self.host/self.port if one is not
already established. close() must be called in order to allow other
connections from other clients to be made.
This call does nothing if a connection to the server is already open.
Note: all APIs that access the server will call this method
automatically, followed automatically by a call to close(), so calling
this method should not be necessary. close() is not automatically called
if self.hold_open is False.
Parameters
----------
call_timeout : int (default is 900000)
Time in millisecods that calls to the server using this open
connection must return by.
Returns
-------
None
Examples
--------
>>> from gaas_client import GaasClient
>>> client = GaasClient()
>>> # Manually open a connection. The connection is held open and other
>>> # clients cannot connect until a client API call completes or
>>> # close() is manually called.
>>> client.open()
"""
if self.__client is None:
self.__client = create_client(self.host, self.port,
call_timeout=call_timeout)
def close(self):
"""
Closes a connection to the server if one has been established, allowing
other clients to access the server. This method is called automatically
for all APIs that access the server if self.hold_open is False.
Parameters
----------
None
Returns
-------
None
Examples
--------
>>> from gaas_client import GaasClient
>>> client = GaasClient()
>>> # Have the client hold open the connect automatically opened as part
>>> # of a server API call until close() is called. This is normally not
>>> # necessary and shown here for demonstration purposes.
>>> client.hold_open = True
>>> client.node2vec([0,1], 2)
>>> # close the connection so other clients can connect
>>> client.close()
>>> # go back to automatic open/close mode (safer)
>>> client.hold_open = False
"""
if self.__client is not None:
self.__client.close()
self.__client = None
############################################################################
# Environment management
@__server_connection
def uptime(self):
"""
Return the server uptime in seconds. This is often used as a "ping".
Parameters
----------
None
Returns
-------
uptime : int
The time in seconds the server has been running.
Examples
--------
>>> from gaas_client import GaasClient
>>> client = GaasClient()
>>> client.uptime()
>>> 32
"""
return self.__client.uptime()
@__server_connection
def get_server_info(self):
"""
Return a dictionary of information about the server.
Parameters
----------
None
Returns
-------
server_info : dict
Dictionary containing environment and state information about the
server.
Examples
--------
>>> from gaas_client import GaasClient
>>> client = GaasClient()
>>> client.get_server_info()
>>> {'num_gpus': 2}
"""
server_info = self.__client.get_server_info()
# server_info is a dictionary of Value objects ("union" types returned
# from the server), so convert them to simple py types.
return dict((k, ValueWrapper(server_info[k]).get_py_obj())
for k in server_info)
@__server_connection
def load_graph_creation_extensions(self, extension_dir_path):
"""
Loads the extensions for graph creation present in the directory
specified by extension_dir_path.
Parameters
----------
extension_dir_path : string
Path to the directory containing the extension files (.py source
files). This directory must be readable by the server.
Returns
-------
num_files_read : int
Number of extension files read in the extension_dir_path directory.
Examples
--------
>>> from gaas_client import GaasClient
>>> client = GaasClient()
>>> num_files_read = client.load_graph_creation_extensions(
... "/some/server/side/directory")
>>>
"""
return self.__client.load_graph_creation_extensions(extension_dir_path)
@__server_connection
def unload_graph_creation_extensions(self):
"""
Removes all extensions for graph creation previously loaded.
Parameters
----------
None
Returns
-------
None
Examples
--------
>>> from gaas_client import GaasClient
>>> client = GaasClient()
>>> client.unload_graph_creation_extensions()
>>>
"""
return self.__client.unload_graph_creation_extensions()
@__server_connection
def call_graph_creation_extension(self, func_name,
*func_args, **func_kwargs):
"""
Calls a graph creation extension on the server that was previously
loaded by a prior call to load_graph_creation_extensions(), then returns
the graph ID of the graph created by the extension.
Parameters
----------
func_name : string
The name of the server-side extension function loaded by a prior
call to load_graph_creation_extensions(). All graph creation
extension functions are expected to return a new graph.
*func_args : string, int, list, dictionary (optional)
The positional args to pass to func_name. Note that func_args are
converted to their string representation using repr() on the client,
then restored to python objects on the server using eval(), and
therefore only objects that can be restored server-side with eval()
are supported.
**func_kwargs : string, int, list, dictionary
The keyword args to pass to func_name. Note that func_kwargs are
converted to their string representation using repr() on the client,
then restored to python objects on the server using eval(), and
therefore only objects that can be restored server-side with eval()
are supported.
Returns
-------
graph_id : int
unique graph ID
Examples
--------
>>> from gaas_client import GaasClient
>>> client = GaasClient()
>>> # Load the extension file containing "my_complex_create_graph()"
>>> client.load_graph_creation_extensions("/some/server/side/directory")
>>> new_graph_id = client.call_graph_creation_extension(
... "my_complex_create_graph",
... "/path/to/csv/on/server/graph.csv",
... clean_data=True)
>>>
"""
func_args_repr = repr(func_args)
func_kwargs_repr = repr(func_kwargs)
return self.__client.call_graph_creation_extension(
func_name, func_args_repr, func_kwargs_repr)
############################################################################
# Graph management
@__server_connection
def create_graph(self):
"""
Create a new graph associated with a new (non-default) unique graph ID,
return the new graph ID.
Parameters
----------
None
Returns
-------
graph_id : int
unique graph ID
Examples
--------
>>> from gaas_client import GaasClient
>>> client = GaasClient()
>>> my_graph_id = client.create_graph()
>>> # Load a CSV to the new graph
>>> client.load_csv_as_edge_data(
... "edges.csv", ["int32", "int32", "float32"],
... vertex_col_names=["src", "dst"], graph_id=my_graph_id)
>>>
"""
return self.__client.create_graph()
@__server_connection
def delete_graph(self, graph_id):
"""
Deletes the graph referenced by graph_id.
Parameters
----------
graph_id : int
The graph ID to delete. If the ID passed is not valid on the server,
GaaSError is raised.
Returns
-------
None
Examples
--------
>>> from gaas_client import GaasClient
>>> client = GaasClient()
>>> my_graph_id = client.create_graph()
>>> # Load a CSV to the new graph
>>> client.load_csv_as_edge_data(
... "edges.csv", ["int32", "int32", "float32"],
... vertex_col_names=["src", "dst"], graph_id=my_graph_id)
>>> # Remove the graph instance on the server and reclaim the memory
>>> client.delete_graph(my_graph_id)
"""
return self.__client.delete_graph(graph_id)
@__server_connection
def get_graph_ids(self):
"""
Returns a list of all graph IDs the server is currently maintaining.
Parameters
----------
None
Returns
-------
graph_id_list : list of unique int graph IDs
Examples
--------
>>> from gaas_client import GaasClient
>>> client = GaasClient()
>>> # This server already has graphs loaded from other sessions
>>> client.get_graph_ids()
[0, 26]
>>>
"""
return self.__client.get_graph_ids()
@__server_connection
def get_graph_info(self, keys=None, graph_id=defaults.graph_id):
"""
Returns a dictionary containing meta-data about the graph referenced by
graph_id (or the default graph if not specified).
Parameters
----------
graph_id : int, default is defaults.graph_id
The graph ID to apply the properties in the CSV to. If not provided,
the default graph ID is used.
Returns
-------
None
Examples
--------
>>> from gaas_client import GaasClient
>>> client = GaasClient()
>>> client.load_csv_as_vertex_data(
... "/server/path/to/vertex_data.csv",
... dtypes=["int32", "string", "int32"],
... vertex_col_name="vertex_id",
... header="infer")
>>> client.get_graph_info()
{'num_edges': 3, 'num_vertices': 4}
"""
# Ensure keys is a list of strings when passing to RPC API
if keys is None:
keys = []
elif isinstance(keys, str):
keys = [keys]
elif isinstance(keys, list):
if False in [isinstance(k, str) for k in keys]:
raise TypeError(f"keys must be a list of strings, got {keys}")
else:
raise TypeError("keys must be a string or list of strings, got "
f"{type(keys)}")
graph_info = self.__client.get_graph_info(keys, graph_id)
# special case: if only one key was specified, return only the single
# value
if len(keys) == 1:
return ValueWrapper(graph_info[keys[0]]).get_py_obj()
# graph_info is a dictionary of Value objects ("union" types returned
# from the graph), so convert them to simple py types.
return dict((k, ValueWrapper(graph_info[k]).get_py_obj())
for k in graph_info)
@__server_connection
def load_csv_as_vertex_data(self,
csv_file_name,
dtypes,
vertex_col_name,
delimiter=" ",
header=None,
type_name="",
property_columns=None,
graph_id=defaults.graph_id,
names=None,
):
"""
Reads csv_file_name and applies it as vertex data to the graph
identified as graph_id (or the default graph if not specified).
Parameters
----------
csv_file_name : string
Path to CSV file on the server
dtypes : list of strings
Types for the columns in the CSV file
vertex_col_name : string
Name of the column to use as the vertex ID
delimiter : string, default is " "
Character that serves as the delimiter between columns in the CSV
header : int, default is None
Row number to use as the column names. Default behavior is to assume
column names are explicitely provided (header=None). header="infer"
if the column names are to be inferred. If no names are passed,
header=0. See also cudf.read_csv
type_name : string, default is ""
The vertex property "type" the CSV data is describing. For instance,
CSV data describing properties for "users" might pass type_name as
"user". A vertex property type is optional.
property_columns : list of strings, default is None
The column names in the CSV to add as vertex properties. If None,
all columns will be added as properties.
graph_id : int, default is defaults.graph_id
The graph ID to apply the properties in the CSV to. If not provided,
the default graph ID is used.
names: list of strings, default is None
The names to be used to reference the CSV columns, in lieu of a
header.
Returns
-------
None
Examples
--------
>>> from gaas_client import GaasClient
>>> client = GaasClient()
>>> client.load_csv_as_vertex_data(
... "/server/path/to/vertex_data.csv",
... dtypes=["int32", "string", "int32"],
... vertex_col_name="vertex_id",
... header="infer")
>>>
"""
# Map all int arg types that also have string options to ints
# FIXME: check for invalid header arg values
if header == "infer":
header = -1
elif header is None:
header = -2
return self.__client.load_csv_as_vertex_data(csv_file_name,
delimiter,
dtypes,
header,
vertex_col_name,
type_name,
property_columns or [],
graph_id,
names or [])
@__server_connection
def load_csv_as_edge_data(self,
csv_file_name,
dtypes,
vertex_col_names,
delimiter=" ",
header=None,
type_name="",
property_columns=None,
graph_id=defaults.graph_id,
names=None
):
"""
Reads csv_file_name and applies it as edge data to the graph identified
as graph_id (or the default graph if not specified).
Parameters
----------
csv_file_name : string
Path to CSV file on the server
dtypes : list of strings
Types for the columns in the CSV file
vertex_col_names : tuple of strings
Names of the columns to use as the source and destination vertex IDs
defining the edges
delimiter : string, default is " "
Character that serves as the delimiter between columns in the CSV
header : int, default is None
Row number to use as the column names. Default behavior is to assume
column names are explicitely provided (header=None). header="infer"
if the column names are to be inferred. If no names are passed,
header=0. See also cudf.read_csv
type_name : string, default is ""
The edge property "type" the CSV data is describing. For instance,
CSV data describing properties for "transactions" might pass
type_name as "transaction". An edge property type is optional.
property_columns : list of strings, default is None
The column names in the CSV to add as edge properties. If None, all
columns will be added as properties.
graph_id : int, default is defaults.graph_id
The graph ID to apply the properties in the CSV to. If not provided,
the default graph ID is used.
names: list of strings, default is None
The names to be used to reference the CSV columns, in lieu of a
header.
Returns
-------
None
Examples
--------
>>> from gaas_client import GaasClient
>>> client = GaasClient()
>>> client.load_csv_as_edge_data(
... "/server/path/to/edge_data.csv",
... dtypes=["int32", "int32", "string", "int32"],
... vertex_col_names=("src", "dst"),
... header="infer")
>>>
"""
# Map all int arg types that also have string options to ints
# FIXME: check for invalid header arg values
if header == "infer":
header = -1
elif header is None:
header = -2
return self.__client.load_csv_as_edge_data(csv_file_name,
delimiter,
dtypes,
header,
vertex_col_names,
type_name,
property_columns or [],
graph_id,
names or [])
@__server_connection
def get_edge_IDs_for_vertices(self, src_vert_IDs, dst_vert_IDs,
graph_id=defaults.graph_id):
"""
"""
# FIXME: finish docstring above
# FIXME: add type checking
return self.__client.get_edge_IDs_for_vertices(src_vert_IDs,
dst_vert_IDs,
graph_id)
@__server_connection
def extract_subgraph(self,
create_using=None,
selection=None,
edge_weight_property="",
default_edge_weight=1.0,
allow_multi_edges=False,
renumber_graph=True,
add_edge_data=True,
graph_id=defaults.graph_id
):
"""
Return a graph ID for a subgraph of the graph referenced by graph_id
that containing vertices and edges that match a selection.
Parameters
----------
create_using : string, default is None
String describing the type of Graph object to create from the
selected subgraph of vertices and edges. The default (None) results
in a cugraph.Graph object.
selection : int, default is None
A PropertySelection ID returned from one or more calls to
select_vertices() and/or select_edges(), used for creating a Graph
with only the selected properties. If not speciied the resulting
Graph will have all properties. Note, this could result in a Graph
with multiple edges, which may not be supported based on the value
of create_using.
edge_weight_property : string, default is ""
The name of the property whose values will be used as weights on the
returned Graph. If not specified, the returned Graph will be
unweighted.
default_edge_weight : float, default is 1.0
The value to use when an edge property is specified but not present
on an edge.
allow_multi_edges : bool
If True, multiple edges should be used to create the resulting
Graph, otherwise multiple edges will be detected and an exception
raised.
graph_id : int, default is defaults.graph_id
The graph ID to extract the subgraph from. If the ID passed is not
valid on the server, GaaSError is raised.
Returns
-------
A graph ID for a new Graph instance of the same type as create_using
containing only the vertices and edges resulting from applying the
selection to the set of vertex and edge property data.
Examples
--------
>>>
"""
# FIXME: finish docstring above
# FIXME: convert defaults to type needed by the Thrift API. These will
# be changing to different types.
create_using = create_using or ""
selection = selection or ""
return self.__client.extract_subgraph(create_using,
selection,
edge_weight_property,
default_edge_weight,
allow_multi_edges,
renumber_graph,
add_edge_data,
graph_id)
@__server_connection
def get_graph_vertex_data(self,
id_or_ids=-1,
null_replacement_value=0,
graph_id=defaults.graph_id,
property_keys=None
):
"""
Returns ...
Parameters
----------
id_or_ids : int or list of ints (default -1)
null_replacement_value : number or string (default 0)
graph_id : int, default is defaults.graph_id
The graph ID to extract the subgraph from. If the ID passed is not
valid on the server, GaaSError is raised.
property_keys : list of strings (default [])
The keys (names) of properties to retrieve. If omitted, returns
the whole dataframe.
Returns
-------
Examples
--------
>>>
"""
# FIXME: finish docstring above
vertex_edge_id_obj = self.__get_vertex_edge_id_obj(id_or_ids)
null_replacement_value_obj = ValueWrapper(
null_replacement_value,
val_name="null_replacement_value").union
ndarray_bytes = \
self.__client.get_graph_vertex_data(
vertex_edge_id_obj,
null_replacement_value_obj,
graph_id,
property_keys or []
)
return pickle.loads(ndarray_bytes)
@__server_connection
def get_graph_edge_data(self,
id_or_ids=-1,
null_replacement_value=0,
graph_id=defaults.graph_id,
property_keys=None
):
"""
Returns ...
Parameters
----------
id_or_ids : int or list of ints (default -1)
null_replacement_value : number or string (default 0)
graph_id : int, default is defaults.graph_id
The graph ID to extract the subgraph from. If the ID passed is not
valid on the server, GaaSError is raised.
property_keys : list of strings (default [])
The keys (names) of properties to retrieve. If omitted, returns
the whole dataframe.
Returns
-------
Examples
--------
>>>
"""
# FIXME: finish docstring above
vertex_edge_id_obj = self.__get_vertex_edge_id_obj(id_or_ids)
null_replacement_value_obj = ValueWrapper(
null_replacement_value,
val_name="null_replacement_value").union
ndarray_bytes = \
self.__client.get_graph_edge_data(
vertex_edge_id_obj,
null_replacement_value_obj,
graph_id,
property_keys or []
)
return pickle.loads(ndarray_bytes)
@__server_connection
def is_vertex_property(self, property_key, graph_id=defaults.graph_id):
"""
Returns True if the given property key is for a valid vertex property
in the given graph, false otherwise.e
Parameters
----------
property_key: string
The key (name) of the vertex property to check
graph_id: int
The id of the graph of interest
"""
return self.__client.is_vertex_property(property_key, graph_id)
@__server_connection
def is_edge_property(self, property_key, graph_id=defaults.graph_id):
"""
Returns True if the given property key is for a valid vertex property
in the given graph, false otherwise.e
Parameters
----------
property_key: string
The key (name) of the vertex property to check
graph_id: int
The id of the graph of interest
"""
return self.__client.is_edge_property(property_key, graph_id)
############################################################################
# Algos
@__server_connection
def batched_ego_graphs(self, seeds, radius=1, graph_id=defaults.graph_id):
"""
Parameters
----------
Returns
-------
Examples
--------
>>>
"""
# FIXME: finish docstring above
if not isinstance(seeds, list):
seeds = [seeds]
batched_ego_graphs_result = self.__client.batched_ego_graphs(seeds,
radius,
graph_id)
# FIXME: ensure dtypes are correct for values returned from cugraph.batched_ego_graphs() in gaas_handler.py
#return (numpy.frombuffer(batched_ego_graphs_result.src_verts, dtype="int32"),
# numpy.frombuffer(batched_ego_graphs_result.dst_verts, dtype="int32"),
# numpy.frombuffer(batched_ego_graphs_result.edge_weights, dtype="float64"),
# numpy.frombuffer(batched_ego_graphs_result.seeds_offsets, dtype="int64"))
return (batched_ego_graphs_result.src_verts,
batched_ego_graphs_result.dst_verts,
batched_ego_graphs_result.edge_weights,
batched_ego_graphs_result.seeds_offsets)
@__server_connection
def node2vec(self, start_vertices, max_depth, graph_id=defaults.graph_id):
"""
Computes random walks for each node in 'start_vertices', under the
node2vec sampling framework.
Parameters
----------
start_vertices: int or list or cudf.Series or cudf.DataFrame
A single node or a list or a cudf.Series of nodes from which to run
the random walks. In case of multi-column vertices it should be
a cudf.DataFrame. Only supports int32 currently.
max_depth: int
The maximum depth of the random walks
Returns
-------
Examples
--------
>>>
"""
# FIXME: finish docstring above
# start_vertices must be a list (cannot just be an iterable), and assume
# return value is tuple of python lists on host.
if not isinstance(start_vertices, list):
start_vertices = [start_vertices]
# FIXME: ensure list is a list of int32, since Thrift interface
# specifies that?
node2vec_result = self.__client.node2vec(start_vertices,
max_depth,
graph_id)
return (node2vec_result.vertex_paths,
node2vec_result.edge_weights,
node2vec_result.path_sizes)
@__server_connection
def uniform_neighbor_sample(self,
start_list,
fanout_vals,
with_replacement=True,
graph_id=defaults.graph_id):
"""
Samples the graph and returns the graph id of the sampled
graph.
Parameters:
start_list: list[int]
fanout_vals: list[int]
with_replacement: bool
graph_id: int, default is defaults.graph_id
Returns
-------
The graph id of the sampled graph.
"""
return self.__client.uniform_neighbor_sample(
start_list,
fanout_vals,
with_replacement,
graph_id,
)
@__server_connection
def pagerank(self, graph_id=defaults.graph_id):
"""
pagerank
"""
raise NotImplementedError
############################################################################
# Test/Debug
@__server_connection
def _get_graph_type(self, graph_id=defaults.graph_id):
"""
Test/debug API for returning a string repr of the graph_id instance.
"""
return self.__client.get_graph_type(graph_id)
############################################################################
# Private
@staticmethod
def __get_vertex_edge_id_obj(id_or_ids):
# FIXME: do not assume all values are int32
if isinstance(id_or_ids, Sequence):
vert_edge_id_obj = GraphVertexEdgeID(int32_ids=id_or_ids)
else:
vert_edge_id_obj = GraphVertexEdgeID(int32_id=id_or_ids)
return vert_edge_id_obj
| 0 |
rapidsai_public_repos/GaaS/python
|
rapidsai_public_repos/GaaS/python/tests/client1_script.py
|
import random
import time
from pathlib import Path
from gaas_client import GaasClient
_data_dir = (Path(__file__).parent)/"data"
edgelist_csv_data = {
"karate": {"csv_file_name":
(_data_dir/"karate.csv").absolute().as_posix(),
"dtypes": ["int32", "int32", "float32"],
"num_edges": 156,
},
}
client = GaasClient()
test_data = edgelist_csv_data["karate"]
client.load_csv_as_edge_data(test_data["csv_file_name"],
dtypes=test_data["dtypes"],
vertex_col_names=["0", "1"],
type_name="")
time.sleep(10)
n = int(random.random() * 1000)
#print(f"---> starting {n}", flush=True)
for i in range(1000000):
extracted_gid = client.extract_subgraph(allow_multi_edges=False)
#client.delete_graph(extracted_gid)
#print(f"---> {n}: extracted {extracted_gid}", flush=True)
#print(f"---> done {n}", flush=True)
| 0 |
rapidsai_public_repos/GaaS/python
|
rapidsai_public_repos/GaaS/python/tests/data.py
|
# Copyright (c) 2022, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from pathlib import Path
_data_dir = (Path(__file__).parent)/"data"
edgelist_csv_data = {
"karate": {"csv_file_name":
(_data_dir/"karate.csv").absolute().as_posix(),
"dtypes": ["int32", "int32", "float32"],
"num_edges": 156,
},
}
property_csv_data = {
"merchants": {"csv_file_name":
(_data_dir/"merchants.csv").absolute().as_posix(),
"dtypes": ["int32", "int32", "int32", "float32", "int32",
"string"],
"vert_col_name" : "merchant_id",
},
"users": {"csv_file_name":
(_data_dir/"users.csv").absolute().as_posix(),
"dtypes": ["int32", "int32", "int32"],
"vert_col_name" : "user_id",
},
"transactions": {"csv_file_name":
(_data_dir/"transactions.csv").absolute().as_posix(),
"dtypes": ["int32", "int32", "float32", "float32",
"int32", "string"],
"vert_col_names" : ("user_id", "merchant_id"),
},
"relationships": {"csv_file_name":
(_data_dir/"relationships.csv").absolute().as_posix(),
"dtypes": ["int32", "int32", "int32"],
"vert_col_names" : ("user_id_1", "user_id_2"),
},
"referrals": {"csv_file_name":
(_data_dir/"referrals.csv").absolute().as_posix(),
"dtypes": ["int32", "int32", "int32", "int32"],
"vert_col_names" : ("user_id_1", "user_id_2"),
},
}
| 0 |
rapidsai_public_repos/GaaS/python
|
rapidsai_public_repos/GaaS/python/tests/client2_script.py
|
import time
import random
from gaas_client import GaasClient
client = GaasClient()
time.sleep(10)
n = int(random.random() * 1000)
#print(f"---> starting {n}", flush=True)
for i in range(1000000):
extracted_gid = client.extract_subgraph(allow_multi_edges=False)
#client.delete_graph(extracted_gid)
#print(f"---> {n}: extracted {extracted_gid}", flush=True)
#print(f"---> done {n}", flush=True)
| 0 |
rapidsai_public_repos/GaaS/python
|
rapidsai_public_repos/GaaS/python/tests/test_mg_gaas_handler.py
|
# Copyright (c) 2022, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
from pathlib import Path
import pickle
import pytest
from . import data
###############################################################################
## fixtures
@pytest.fixture(scope="module")
def mg_handler():
"""
Creates a GaaS handler that uses a dask client.
"""
from gaas_server.gaas_handler import GaasHandler
dask_scheduler_file = os.environ.get("SCHEDULER_FILE")
if dask_scheduler_file is None:
raise EnvironmentError("Environment variable SCHEDULER_FILE must be set"
" to the path to a dask scheduler json file")
dask_scheduler_file = Path(dask_scheduler_file)
if not dask_scheduler_file.exists():
raise FileNotFoundError("env var SCHEDULER_FILE is set to "
f"{dask_scheduler_file}, which does not exist.")
handler = GaasHandler()
handler.initialize_dask_client(dask_scheduler_file)
return handler
# Make this a function-level fixture so it cleans up the mg_handler after each
# test, allowing other tests to use mg_handler without graphs loaded.
@pytest.fixture(scope="function")
def handler_with_karate_edgelist_loaded(mg_handler):
"""
Loads the karate CSV into the default graph in the handler.
"""
from gaas_client import defaults
test_data = data.edgelist_csv_data["karate"]
# Ensure the handler starts with no graphs in memory
for gid in mg_handler.get_graph_ids():
mg_handler.delete_graph(gid)
mg_handler.load_csv_as_edge_data(test_data["csv_file_name"],
delimiter=" ",
dtypes=test_data["dtypes"],
header=None,
vertex_col_names=["0", "1"],
type_name="",
property_columns=[],
names=[],
graph_id=defaults.graph_id,
)
assert mg_handler.get_graph_ids() == [0]
yield (mg_handler, test_data)
for gid in mg_handler.get_graph_ids():
mg_handler.delete_graph(gid)
###############################################################################
## tests
# FIXME: consolidate this with the SG version of this test.
def test_get_graph_data_large_vertex_ids(
mg_handler,
graph_creation_extension_big_vertex_ids,
):
"""
Test that graphs with large vertex ID values (>int32) are handled.
"""
handler = mg_handler
extension_dir = graph_creation_extension_big_vertex_ids
# Load the extension and ensure it can be called.
handler.load_graph_creation_extensions(extension_dir)
new_graph_id = handler.call_graph_creation_extension(
"graph_creation_function_vert_and_edge_data_big_vertex_ids", "()", "{}")
invalid_vert_id = 2
vert_data = handler.get_graph_vertex_data(
id_or_ids=invalid_vert_id,
null_replacement_value=0,
graph_id=new_graph_id,
property_keys=None)
assert len(pickle.loads(vert_data)) == 0
large_vert_id = (2**32)+1
vert_data = handler.get_graph_vertex_data(
id_or_ids=large_vert_id,
null_replacement_value=0,
graph_id=new_graph_id,
property_keys=None)
assert len(pickle.loads(vert_data)) == 1
invalid_edge_id = (2**32)+1
edge_data = handler.get_graph_edge_data(
id_or_ids=invalid_edge_id,
null_replacement_value=0,
graph_id=new_graph_id,
property_keys=None)
assert len(pickle.loads(edge_data)) == 0
small_edge_id = 2
edge_data = handler.get_graph_edge_data(
id_or_ids=small_edge_id,
null_replacement_value=0,
graph_id=new_graph_id,
property_keys=None)
assert len(pickle.loads(edge_data)) == 1
# FIXME: consolidate this with the SG version of this test.
def test_get_graph_data_empty_graph(
mg_handler,
graph_creation_extension_empty_graph,
):
"""
Tests that get_graph_*_data() handles empty graphs correctly.
"""
handler = mg_handler
extension_dir = graph_creation_extension_empty_graph
# Load the extension and ensure it can be called.
handler.load_graph_creation_extensions(extension_dir)
new_graph_id = handler.call_graph_creation_extension(
"graph_creation_function", "()", "{}")
invalid_vert_id = 2
vert_data = handler.get_graph_vertex_data(
id_or_ids=invalid_vert_id,
null_replacement_value=0,
graph_id=new_graph_id,
property_keys=None)
assert len(pickle.loads(vert_data)) == 0
invalid_edge_id = 2
edge_data = handler.get_graph_edge_data(
id_or_ids=invalid_vert_id,
null_replacement_value=0,
graph_id=new_graph_id,
property_keys=None)
assert len(pickle.loads(edge_data)) == 0
def test_get_edge_IDs_for_vertices(handler_with_karate_edgelist_loaded):
from gaas_client import defaults
(handler, test_data) = handler_with_karate_edgelist_loaded
# Use the test/debug API to ensure the correct type was created
assert "MG" in handler.get_graph_type(defaults.graph_id)
extracted_graph_id = handler.extract_subgraph(create_using=None,
selection=None,
edge_weight_property=None,
default_edge_weight=1.0,
allow_multi_edges=True,
renumber_graph=True,
add_edge_data=True,
graph_id=defaults.graph_id)
# FIXME: this assumes these are always the first 3 edges in karate, which
# may not be a safe assumption.
eIDs = handler.get_edge_IDs_for_vertices([1, 2, 3],
[0, 0, 0],
extracted_graph_id)
assert eIDs == [0, 1, 2]
def test_get_graph_info(handler_with_karate_edgelist_loaded):
"""
get_graph_info() for specific args.
"""
from gaas_client import defaults
from gaas_client.types import ValueWrapper
(handler, test_data) = handler_with_karate_edgelist_loaded
# A common use of get_graph_info() is to get the "shape" of the data,
# meaning the number of vertices/edges by the number of properites per
# edge/vertex.
info = handler.get_graph_info(["num_edges", "num_edge_properties"],
defaults.graph_id)
# info is a dictionary containing gaas_client.types.Value objs, so access
# the int32 member directly for easy comparison.
shape = (ValueWrapper(info["num_edges"]).get_py_obj(),
ValueWrapper(info["num_edge_properties"]).get_py_obj())
assert shape == (156, 1) # The single edge property is the weight
info = handler.get_graph_info(["num_vertices_from_vertex_data",
"num_vertex_properties"],
defaults.graph_id)
shape = (ValueWrapper(info["num_vertices_from_vertex_data"]).get_py_obj(),
ValueWrapper(info["num_vertex_properties"]).get_py_obj())
assert shape == (0, 0)
def test_get_graph_info_defaults(mg_handler):
"""
Ensure calling get_graph_info() with no args returns the info dict with all
keys present for an empty default graph.
"""
from gaas_client import defaults
from gaas_client.types import ValueWrapper
handler = mg_handler
info = handler.get_graph_info([], graph_id=defaults.graph_id)
expected = {"num_vertices": 0,
"num_vertices_from_vertex_data": 0,
"num_edges": 0,
"num_vertex_properties": 0,
"num_edge_properties": 0,
}
actual = {key:ValueWrapper(val).get_py_obj() for (key, val) in info.items()}
assert expected == actual
def test_uniform_neighbor_sampling(handler_with_karate_edgelist_loaded):
from gaas_client.exceptions import GaasError
from gaas_client import defaults
(handler, test_data) = handler_with_karate_edgelist_loaded
start_list = [1, 2, 3]
fanout_vals = [2, 2, 2]
with_replacement = True
# invalid graph type - default graph is a PG, needs an extracted subgraph
with pytest.raises(GaasError):
handler.uniform_neighbor_sample(start_list=start_list,
fanout_vals=fanout_vals,
with_replacement=with_replacement,
graph_id=defaults.graph_id)
# FIXME: add test coverage for specifying the edge ID as the
# edge_weight_property, then ensuring the edge ID is returned properly with
# the uniform_neighbor_sample results.
# See: https://github.com/rapidsai/cugraph/issues/2654
extracted_gid = handler.extract_subgraph(create_using=None,
selection=None,
edge_weight_property=None,
default_edge_weight=1.0,
allow_multi_edges=True,
renumber_graph=True,
add_edge_data=True,
graph_id=defaults.graph_id)
result = handler.uniform_neighbor_sample(start_list=start_list,
fanout_vals=fanout_vals,
with_replacement=with_replacement,
graph_id=extracted_gid)
| 0 |
rapidsai_public_repos/GaaS/python
|
rapidsai_public_repos/GaaS/python/tests/gen_demo_data.py
|
# Copyright (c) 2022, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import random
################################################################################
## vertex CSV
colors = ["red", "white", "blue", "green",
"yellow", "orange", "black", "purple"]
with open("vertex_data.csv", "w") as vertex_out:
print("vertex_id color num_stars", file=vertex_out)
for i in range(1000):
print(f"{i} {random.choice(colors)} {int(random.random() * 10000)}",
file=vertex_out)
################################################################################
## edge CSV
relationship = ["friend", "coworker", "reviewer"]
ids = range(1000)
with open("edge_data.csv", "w") as edge_out:
print("src dst relationship_type num_interactions", file=edge_out)
for i in range(10000):
src = random.choice(ids)
dst = random.choice(ids)
while(src == dst):
dst = random.choice(ids)
print(f"{src} {dst} "
f"{random.choice(relationship)} "
f"{int((random.random() + 1) * 10)}",
file=edge_out)
| 0 |
rapidsai_public_repos/GaaS/python
|
rapidsai_public_repos/GaaS/python/tests/conftest.py
|
# Copyright (c) 2022, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from pathlib import Path
from tempfile import TemporaryDirectory
import pytest
graph_creation_extension1_file_contents = """
import cudf
from cugraph.experimental import PropertyGraph
def custom_graph_creation_function(gaas_server):
edgelist = cudf.DataFrame(columns=['src', 'dst'],
data=[(0, 77), (1, 88), (2, 99)])
pG = PropertyGraph()
pG.add_edge_data(edgelist, vertex_col_names=('src', 'dst'))
# smoke test the gaas_server object by accesing the "mg" attr
gaas_server.is_mg
return pG
"""
graph_creation_extension2_file_contents = """
import cudf
from cugraph.experimental import PropertyGraph
def __my_private_function():
pass
def my_graph_creation_function(arg1:str, arg2:str, arg3:str, gaas_server):
edgelist = cudf.DataFrame(columns=[arg1, arg2, arg3],
data=[(0, 1, 2), (88, 99, 77)])
pG = PropertyGraph()
pG.add_edge_data(edgelist, vertex_col_names=(arg1, arg2))
return pG
"""
graph_creation_extension_long_running_file_contents = """
import time
import cudf
from cugraph.experimental import PropertyGraph
def long_running_graph_creation_function(gaas_server):
time.sleep(10)
pG = PropertyGraph()
return pG
"""
graph_creation_extension_no_facade_arg_file_contents = """
import time
import cudf
from cugraph.experimental import PropertyGraph
def graph_creation_function(arg1, arg2):
time.sleep(10)
pG = PropertyGraph()
return pG
"""
graph_creation_extension_bad_arg_order_file_contents = """
import time
import cudf
from cugraph.experimental import PropertyGraph
def graph_creation_function(gaas_server, arg1, arg2):
pG = PropertyGraph()
return pG
"""
graph_creation_extension_empty_graph_file_contents = """
import time
import cudf
from cugraph.experimental import PropertyGraph, MGPropertyGraph
def graph_creation_function(gaas_server):
if gaas_server.is_mg:
pG = MGPropertyGraph()
else:
pG = PropertyGraph()
return pG
"""
graph_creation_extension_big_vertex_ids_file_contents = """
import time
import cudf
import cupy
import dask_cudf
from cugraph.experimental import PropertyGraph, MGPropertyGraph
def graph_creation_function_vert_and_edge_data_big_vertex_ids(gaas_server):
if gaas_server.is_mg:
pG = MGPropertyGraph()
else:
pG = PropertyGraph()
big_num = (2**32)+1
df = cudf.DataFrame({"vert_id":cupy.arange(big_num, big_num+10,
dtype="int64"),
"vert_prop":cupy.arange(big_num+100, big_num+110,
dtype="int64")})
if gaas_server.is_mg:
df = dask_cudf.from_cudf(df, npartitions=2)
pG.add_vertex_data(df, vertex_col_name="vert_id")
df = cudf.DataFrame({"src":cupy.arange(big_num, big_num+10, dtype="int64"),
"dst":cupy.arange(big_num+1,big_num+11, dtype="int64"),
"edge_prop":cupy.arange(big_num+100, big_num+110,
dtype="int64")})
if gaas_server.is_mg:
df = dask_cudf.from_cudf(df, npartitions=2)
pG.add_edge_data(df, vertex_col_names=["src", "dst"])
return pG
"""
################################################################################
## module scope fixtures
@pytest.fixture(scope="module")
def graph_creation_extension1():
with TemporaryDirectory() as tmp_extension_dir:
# write graph creation extension .py file
graph_creation_extension_file = open(
Path(tmp_extension_dir)/"custom_graph_creation_extension.py",
"w")
print(graph_creation_extension1_file_contents,
file=graph_creation_extension_file,
flush=True)
yield tmp_extension_dir
@pytest.fixture(scope="module")
def graph_creation_extension2():
with TemporaryDirectory() as tmp_extension_dir:
# write graph creation extension .py file
graph_creation_extension_file = open(
Path(tmp_extension_dir)/"my_graph_creation_extension.py",
"w")
print(graph_creation_extension2_file_contents,
file=graph_creation_extension_file,
flush=True)
yield tmp_extension_dir
@pytest.fixture(scope="module")
def graph_creation_extension_long_running():
with TemporaryDirectory() as tmp_extension_dir:
# write graph creation extension .py file
graph_creation_extension_file = open(
Path(tmp_extension_dir)/"long_running_graph_creation_extension.py",
"w")
print(graph_creation_extension_long_running_file_contents,
file=graph_creation_extension_file,
flush=True)
yield tmp_extension_dir
@pytest.fixture(scope="module")
def graph_creation_extension_no_facade_arg():
with TemporaryDirectory() as tmp_extension_dir:
# write graph creation extension .py file
graph_creation_extension_file = open(
Path(tmp_extension_dir)/"graph_creation_no_facade_arg_extension.py",
"w")
print(graph_creation_extension_no_facade_arg_file_contents,
file=graph_creation_extension_file,
flush=True)
yield tmp_extension_dir
@pytest.fixture(scope="module")
def graph_creation_extension_bad_arg_order():
with TemporaryDirectory() as tmp_extension_dir:
# write graph creation extension .py file
graph_creation_extension_file = open(
Path(tmp_extension_dir)/"graph_creation_bad_arg_order_extension.py",
"w")
print(graph_creation_extension_bad_arg_order_file_contents,
file=graph_creation_extension_file,
flush=True)
yield tmp_extension_dir
@pytest.fixture(scope="module")
def graph_creation_extension_big_vertex_ids():
with TemporaryDirectory() as tmp_extension_dir:
# write graph creation extension .py file
graph_creation_extension_file = open(
Path(tmp_extension_dir)/
"graph_creation_big_vertex_ids_extension.py",
"w")
print(graph_creation_extension_big_vertex_ids_file_contents,
file=graph_creation_extension_file,
flush=True)
yield tmp_extension_dir
@pytest.fixture(scope="module")
def graph_creation_extension_empty_graph():
with TemporaryDirectory() as tmp_extension_dir:
# write graph creation extension .py file
graph_creation_extension_file = open(
Path(tmp_extension_dir)/
"graph_creation_empty_graph_extension.py",
"w")
print(graph_creation_extension_empty_graph_file_contents,
file=graph_creation_extension_file,
flush=True)
yield tmp_extension_dir
| 0 |
rapidsai_public_repos/GaaS/python
|
rapidsai_public_repos/GaaS/python/tests/test_gaas_handler.py
|
# Copyright (c) 2022, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import pickle
import pytest
###############################################################################
## fixtures
# The fixtures used in these tests are defined in conftest.py
###############################################################################
## tests
def test_load_and_call_graph_creation_extension(graph_creation_extension2):
"""
Ensures load_extensions reads the extensions and makes the new APIs they add
available.
"""
from gaas_server.gaas_handler import GaasHandler
from gaas_client.exceptions import GaasError
handler = GaasHandler()
extension_dir = graph_creation_extension2
# DNE
with pytest.raises(GaasError):
handler.load_graph_creation_extensions("/path/that/does/not/exist")
# Exists, but is a file
with pytest.raises(GaasError):
handler.load_graph_creation_extensions(__file__)
# Load the extension and call the function defined in it
num_files_read = handler.load_graph_creation_extensions(extension_dir)
assert num_files_read == 1
# Private function should not be callable
with pytest.raises(GaasError):
handler.call_graph_creation_extension("__my_private_function",
"()", "{}")
# Function which DNE in the extension
with pytest.raises(GaasError):
handler.call_graph_creation_extension("bad_function_name",
"()", "{}")
# Wrong number of args
with pytest.raises(GaasError):
handler.call_graph_creation_extension("my_graph_creation_function",
"('a',)", "{}")
# This call should succeed and should result in a new PropertyGraph present
# in the handler instance.
new_graph_ID = handler.call_graph_creation_extension(
"my_graph_creation_function", "('a', 'b', 'c')", "{}")
assert new_graph_ID in handler.get_graph_ids()
# Inspect the PG and ensure it was created from my_graph_creation_function
pG = handler._get_graph(new_graph_ID)
edge_props = pG.edge_property_names
assert ("c" in edge_props)
def test_load_and_unload_graph_creation_extension(graph_creation_extension2):
"""
Ensure extensions can be unloaded.
"""
from gaas_server.gaas_handler import GaasHandler
from gaas_client.exceptions import GaasError
handler = GaasHandler()
extension_dir = graph_creation_extension2
# Load the extensions and ensure it can be called.
handler.load_graph_creation_extensions(extension_dir)
new_graph_ID = handler.call_graph_creation_extension(
"my_graph_creation_function", "('a', 'b', 'c')", "{}")
assert new_graph_ID in handler.get_graph_ids()
# Unload then try to run the same call again, which should fail
handler.unload_graph_creation_extensions()
with pytest.raises(GaasError):
handler.call_graph_creation_extension(
"my_graph_creation_function", "('a', 'b', 'c')", "{}")
def test_load_and_unload_graph_creation_extension_no_args(
graph_creation_extension1):
"""
Test graph_creation_extension1 which contains an extension with no args.
"""
from gaas_server.gaas_handler import GaasHandler
handler = GaasHandler()
extension_dir = graph_creation_extension1
# Load the extensions and ensure it can be called.
handler.load_graph_creation_extensions(extension_dir)
new_graph_ID = handler.call_graph_creation_extension(
"custom_graph_creation_function", "()", "{}")
assert new_graph_ID in handler.get_graph_ids()
def test_load_and_unload_graph_creation_extension_no_facade_arg(
graph_creation_extension_no_facade_arg):
"""
Test an extension that has no facade arg.
"""
from gaas_server.gaas_handler import GaasHandler
handler = GaasHandler()
extension_dir = graph_creation_extension_no_facade_arg
# Load the extensions and ensure it can be called.
handler.load_graph_creation_extensions(extension_dir)
new_graph_ID = handler.call_graph_creation_extension(
"graph_creation_function", "('a')", "{'arg2':33}")
assert new_graph_ID in handler.get_graph_ids()
def test_load_and_unload_graph_creation_extension_bad_arg_order(
graph_creation_extension_bad_arg_order):
"""
Test an extension that has the facade arg in the wrong position.
"""
from gaas_server.gaas_handler import GaasHandler
from gaas_client.exceptions import GaasError
handler = GaasHandler()
extension_dir = graph_creation_extension_bad_arg_order
# Load the extensions and ensure it can be called.
handler.load_graph_creation_extensions(extension_dir)
with pytest.raises(GaasError):
handler.call_graph_creation_extension(
"graph_creation_function", "('a', 'b')", "{}")
def test_get_graph_data_large_vertex_ids(
graph_creation_extension_big_vertex_ids):
"""
Test that graphs with large vertex ID values (>int32) are handled.
"""
from gaas_server.gaas_handler import GaasHandler
handler = GaasHandler()
extension_dir = graph_creation_extension_big_vertex_ids
# Load the extension and ensure it can be called.
handler.load_graph_creation_extensions(extension_dir)
new_graph_id = handler.call_graph_creation_extension(
"graph_creation_function_vert_and_edge_data_big_vertex_ids", "()", "{}")
invalid_vert_id = 2
vert_data = handler.get_graph_vertex_data(
id_or_ids=invalid_vert_id,
null_replacement_value=0,
graph_id=new_graph_id,
property_keys=None)
assert len(pickle.loads(vert_data)) == 0
large_vert_id = (2**32)+1
vert_data = handler.get_graph_vertex_data(
id_or_ids=large_vert_id,
null_replacement_value=0,
graph_id=new_graph_id,
property_keys=None)
assert len(pickle.loads(vert_data)) == 1
invalid_edge_id = (2**32)+1
edge_data = handler.get_graph_edge_data(
id_or_ids=invalid_edge_id,
null_replacement_value=0,
graph_id=new_graph_id,
property_keys=None)
assert len(pickle.loads(edge_data)) == 0
small_edge_id = 2
edge_data = handler.get_graph_edge_data(
id_or_ids=small_edge_id,
null_replacement_value=0,
graph_id=new_graph_id,
property_keys=None)
assert len(pickle.loads(edge_data)) == 1
def test_get_graph_data_empty_graph(graph_creation_extension_empty_graph):
"""
Tests that get_graph_*_data() handles empty graphs correctly.
"""
from gaas_server.gaas_handler import GaasHandler
handler = GaasHandler()
extension_dir = graph_creation_extension_empty_graph
# Load the extension and ensure it can be called.
handler.load_graph_creation_extensions(extension_dir)
new_graph_id = handler.call_graph_creation_extension(
"graph_creation_function", "()", "{}")
invalid_vert_id = 2
vert_data = handler.get_graph_vertex_data(
id_or_ids=invalid_vert_id,
null_replacement_value=0,
graph_id=new_graph_id,
property_keys=None)
assert len(pickle.loads(vert_data)) == 0
invalid_edge_id = 2
edge_data = handler.get_graph_edge_data(
id_or_ids=invalid_vert_id,
null_replacement_value=0,
graph_id=new_graph_id,
property_keys=None)
assert len(pickle.loads(edge_data)) == 0
| 0 |
rapidsai_public_repos/GaaS/python
|
rapidsai_public_repos/GaaS/python/tests/demo1.py
|
# Copyright (c) 2022, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from pathlib import Path
from gaas_client import GaasClient
# Use the location of this file for finding various data files
this_dir = Path(__file__).parent
# Use the defaults for host and port (localhost, 9090)
# Assume the server is running and using the same defaults!
client = GaasClient()
# Remove any graphs from a previous session!
for gid in client.get_graph_ids():
client.delete_graph(gid)
# Add vertex and edge data to the default graph instance (the default graph does
# not require a graph ID to access)
# The file names specified must be visible to the server.
client.load_csv_as_vertex_data(
(this_dir/"vertex_data.csv").absolute().as_posix(),
dtypes=["int32", "string", "int32"],
vertex_col_name="vertex_id",
header="infer")
client.load_csv_as_edge_data(
(this_dir/"edge_data.csv").absolute().as_posix(),
dtypes=["int32", "int32", "string", "int32"],
vertex_col_names=("src", "dst"),
header="infer")
# Verify the number of edges
assert client.get_num_edges() == 10000
# Run sampling and get a path, need to extract a subgraph first
extracted_gid = client.extract_subgraph(allow_multi_edges=True)
start_vertices = 11
max_depth = 2
(vertex_paths, edge_weights, path_sizes) = \
client.node2vec(start_vertices, max_depth, extracted_gid)
# Create another graph on the server
graph2 = client.create_graph()
# Verify that both the default and new graph are present on the server
assert len(client.get_graph_ids()) == 3
# Add edge data to the new graph
client.load_csv_as_vertex_data(
(this_dir/"vertex_data.csv").absolute().as_posix(),
dtypes=["int32", "string", "int32"],
vertex_col_name="vertex_id",
header="infer",
graph_id=graph2)
# Remove the new graph from the server and verify
client.delete_graph(graph2)
assert len(client.get_graph_ids()) == 2
| 0 |
rapidsai_public_repos/GaaS/python
|
rapidsai_public_repos/GaaS/python/tests/multi_client_test_runner.sh
|
# source this script (ie. do not run it) for easier job control from the shell
# FIXME: change this and/or GaaS so PYTHONPATH is not needed
PYTHONPATH=/Projects/GaaS/python python client1_script.py &
sleep 1
PYTHONPATH=/Projects/GaaS/python python client2_script.py &
PYTHONPATH=/Projects/GaaS/python python client2_script.py &
PYTHONPATH=/Projects/GaaS/python python client2_script.py &
PYTHONPATH=/Projects/GaaS/python python client2_script.py &
PYTHONPATH=/Projects/GaaS/python python client2_script.py &
PYTHONPATH=/Projects/GaaS/python python client2_script.py &
PYTHONPATH=/Projects/GaaS/python python client2_script.py
| 0 |
rapidsai_public_repos/GaaS/python
|
rapidsai_public_repos/GaaS/python/tests/test_e2e.py
|
# Copyright (c) 2022, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import sys
import subprocess
import time
from collections.abc import Sequence
import pytest
from . import data
###############################################################################
## fixtures
@pytest.fixture(scope="module")
def server(graph_creation_extension1):
"""
Start a GaaS server, stop it when done with the fixture. This also uses
graph_creation_extension1 to preload a graph creation extension.
"""
from gaas_server import server
from gaas_client import GaasClient
from gaas_client.exceptions import GaasError
server_file = server.__file__
server_process = None
host = "localhost"
port = 9090
graph_creation_extension_dir = graph_creation_extension1
client = GaasClient(host, port)
try:
client.uptime()
print("\nfound running server, assuming it should be used for testing!")
yield
except GaasError:
# A server was not found, so start one for testing then stop it when
# testing is done.
# pytest will update sys.path based on the tests it discovers, and for
# this source tree, an entry for the parent of this "tests" directory
# will be added. The parent to this "tests" directory also allows
# imports to find the GaaS sources, so in oder to ensure the server
# that's started is also using the same sources, the PYTHONPATH env
# should be set to the sys.path being used in this process.
env_dict = os.environ.copy()
env_dict["PYTHONPATH"] = ":".join(sys.path)
with subprocess.Popen(
[sys.executable, server_file,
"--host", host,
"--port", str(port),
"--graph-creation-extension-dir",
graph_creation_extension_dir],
env=env_dict,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
text=True) as server_process:
try:
print("\nLaunched GaaS server, waiting for it to start...",
end="", flush=True)
max_retries = 10
retries = 0
while retries < max_retries:
try:
client.uptime()
print("started.")
break
except GaasError:
time.sleep(1)
retries += 1
if retries >= max_retries:
raise RuntimeError("error starting server")
except:
if server_process.poll() is None:
server_process.terminate()
raise
# yield control to the tests
yield
# tests are done, now stop the server
print("\nTerminating server...", end="", flush=True)
server_process.terminate()
print("done.", flush=True)
@pytest.fixture(scope="function")
def client(server):
"""
Creates a client instance to the running server, closes the client when the
fixture is no longer used by tests.
"""
from gaas_client import GaasClient, defaults
client = GaasClient(defaults.host, defaults.port)
for gid in client.get_graph_ids():
client.delete_graph(gid)
#client.unload_graph_creation_extensions()
# yield control to the tests
yield client
# tests are done, now stop the server
client.close()
@pytest.fixture(scope="function")
def client_with_edgelist_csv_loaded(client):
"""
Loads the karate CSV into the default graph on the server.
"""
test_data = data.edgelist_csv_data["karate"]
client.load_csv_as_edge_data(test_data["csv_file_name"],
dtypes=test_data["dtypes"],
vertex_col_names=["0", "1"],
type_name="")
assert client.get_graph_ids() == [0]
return (client, test_data)
@pytest.fixture(scope="function")
def client_with_property_csvs_loaded(client):
"""
Loads each of the vertex and edge property CSVs into the default graph on
the server.
"""
merchants = data.property_csv_data["merchants"]
users = data.property_csv_data["users"]
transactions = data.property_csv_data["transactions"]
relationships = data.property_csv_data["relationships"]
referrals = data.property_csv_data["referrals"]
client.load_csv_as_vertex_data(merchants["csv_file_name"],
dtypes=merchants["dtypes"],
vertex_col_name=merchants["vert_col_name"],
header=0,
type_name="merchants")
client.load_csv_as_vertex_data(users["csv_file_name"],
dtypes=users["dtypes"],
vertex_col_name=users["vert_col_name"],
header=0,
type_name="users")
client.load_csv_as_edge_data(transactions["csv_file_name"],
dtypes=transactions["dtypes"],
vertex_col_names=\
transactions["vert_col_names"],
header=0,
type_name="transactions")
client.load_csv_as_edge_data(relationships["csv_file_name"],
dtypes=relationships["dtypes"],
vertex_col_names=\
relationships["vert_col_names"],
header=0,
type_name="relationships")
client.load_csv_as_edge_data(referrals["csv_file_name"],
dtypes=referrals["dtypes"],
vertex_col_names=referrals["vert_col_names"],
header=0,
type_name="referrals")
assert client.get_graph_ids() == [0]
return (client, data.property_csv_data)
###############################################################################
## tests
def test_get_graph_info_key_types(client_with_property_csvs_loaded):
"""
Tests error handling for info keys passed in.
"""
from gaas_client.exceptions import GaasError
(client, test_data) = client_with_property_csvs_loaded
with pytest.raises(TypeError):
client.get_graph_info(21) # bad key type
with pytest.raises(TypeError):
client.get_graph_info([21, "num_edges"]) # bad key type
with pytest.raises(GaasError):
client.get_graph_info("21") # bad key value
with pytest.raises(GaasError):
client.get_graph_info(["21"]) # bad key value
with pytest.raises(GaasError):
client.get_graph_info(["num_edges", "21"]) # bad key value
client.get_graph_info() # valid
def test_get_num_edges_default_graph(client_with_edgelist_csv_loaded):
(client, test_data) = client_with_edgelist_csv_loaded
assert client.get_graph_info("num_edges") == test_data["num_edges"]
def test_load_csv_as_edge_data_nondefault_graph(client):
from gaas_client.exceptions import GaasError
test_data = data.edgelist_csv_data["karate"]
with pytest.raises(GaasError):
client.load_csv_as_edge_data(test_data["csv_file_name"],
dtypes=test_data["dtypes"],
vertex_col_names=["0", "1"],
type_name="",
graph_id=9999)
def test_get_num_edges_nondefault_graph(client_with_edgelist_csv_loaded):
from gaas_client.exceptions import GaasError
(client, test_data) = client_with_edgelist_csv_loaded
# Bad graph ID
with pytest.raises(GaasError):
client.get_graph_info("num_edges", graph_id=9999)
new_graph_id = client.create_graph()
client.load_csv_as_edge_data(test_data["csv_file_name"],
dtypes=test_data["dtypes"],
vertex_col_names=["0", "1"],
type_name="",
graph_id=new_graph_id)
assert client.get_graph_info("num_edges") == test_data["num_edges"]
assert client.get_graph_info("num_edges", graph_id=new_graph_id) \
== test_data["num_edges"]
def test_node2vec(client_with_edgelist_csv_loaded):
(client, test_data) = client_with_edgelist_csv_loaded
extracted_gid = client.extract_subgraph()
start_vertices = 11
max_depth = 2
(vertex_paths, edge_weights, path_sizes) = \
client.node2vec(start_vertices, max_depth, extracted_gid)
# FIXME: consider a more thorough test
assert isinstance(vertex_paths, list) and len(vertex_paths)
assert isinstance(edge_weights, list) and len(edge_weights)
assert isinstance(path_sizes, list) and len(path_sizes)
def test_extract_subgraph(client_with_edgelist_csv_loaded):
(client, test_data) = client_with_edgelist_csv_loaded
Gid = client.extract_subgraph(create_using=None,
selection=None,
edge_weight_property="2",
default_edge_weight=None,
allow_multi_edges=False)
# FIXME: consider a more thorough test
assert Gid in client.get_graph_ids()
def test_load_and_call_graph_creation_extension(client,
graph_creation_extension2):
"""
Tests calling a user-defined server-side graph creation extension from the
GaaS client.
"""
# The graph_creation_extension returns the tmp dir created which contains
# the extension
extension_dir = graph_creation_extension2
num_files_loaded = client.load_graph_creation_extensions(extension_dir)
assert num_files_loaded == 1
new_graph_ID = client.call_graph_creation_extension(
"my_graph_creation_function", "a", "b", "c")
assert new_graph_ID in client.get_graph_ids()
# Inspect the PG and ensure it was created from my_graph_creation_function
# FIXME: add client APIs to allow for a more thorough test of the graph
assert client.get_graph_info(["num_edges"], new_graph_ID) == 2
def test_load_and_call_graph_creation_long_running_extension(
client,
graph_creation_extension_long_running):
"""
Tests calling a user-defined server-side graph creation extension from the
GaaS client.
"""
# The graph_creation_extension returns the tmp dir created which contains
# the extension
extension_dir = graph_creation_extension_long_running
num_files_loaded = client.load_graph_creation_extensions(extension_dir)
assert num_files_loaded == 1
new_graph_ID = client.call_graph_creation_extension(
"long_running_graph_creation_function")
assert new_graph_ID in client.get_graph_ids()
# Inspect the PG and ensure it was created from my_graph_creation_function
# FIXME: add client APIs to allow for a more thorough test of the graph
assert client.get_graph_info(["num_edges"], new_graph_ID) == 0
def test_call_graph_creation_extension(client):
"""
Ensure the graph creation extension preloaded by the server fixture is
callable.
"""
new_graph_ID = client.call_graph_creation_extension(
"custom_graph_creation_function")
assert new_graph_ID in client.get_graph_ids()
# Inspect the PG and ensure it was created from
# custom_graph_creation_function
# FIXME: add client APIs to allow for a more thorough test of the graph
assert client.get_graph_info(["num_edges"], new_graph_ID) == 3
def test_get_graph_vertex_data(client_with_property_csvs_loaded):
(client, test_data) = client_with_property_csvs_loaded
# FIXME: do not hardcode the shape values, get them from the input data.
np_array_all_vertex_data = client.get_graph_vertex_data()
assert np_array_all_vertex_data.shape == (9, 9)
# The remaining tests get individual vertex data - compare those to the
# all_vertex_data retrieved earlier.
vert_ids = [11, 86, 89021]
np_array = client.get_graph_vertex_data(vert_ids)
assert np_array.shape == (3, 9)
# The 1st element is the vert ID
for (i, vid) in enumerate(vert_ids):
assert np_array[i][0] == vid
np_array = client.get_graph_vertex_data(11)
assert np_array.shape == (1, 9)
assert np_array[0][0] == 11
np_array = client.get_graph_vertex_data(86)
assert np_array.shape == (1, 9)
assert np_array[0][0] == 86
def test_get_graph_edge_data(client_with_property_csvs_loaded):
(client, test_data) = client_with_property_csvs_loaded
# FIXME: do not hardcode the shape values, get them from the input data.
np_array_all_rows = client.get_graph_edge_data()
assert np_array_all_rows.shape == (17, 11)
# The remaining tests get individual edge data - compare those to the
# all_edge_data retrieved earlier.
edge_ids = [0, 1, 2]
np_array = client.get_graph_edge_data(edge_ids)
assert np_array.shape == (3, 11)
# The 3rd element is the edge ID
for (i, eid) in enumerate(edge_ids):
assert np_array[i][2] == eid
np_array = client.get_graph_edge_data(0)
assert np_array.shape == (1, 11)
assert np_array[0][2] == 0
np_array = client.get_graph_edge_data(1)
assert np_array.shape == (1, 11)
assert np_array[0][2] == 1
def test_get_graph_info(client_with_property_csvs_loaded):
(client, test_data) = client_with_property_csvs_loaded
info = client.get_graph_info(["num_vertices",
"num_vertex_properties"])
data = (info["num_vertices"],
info["num_vertex_properties"])
# FIXME: do not hardcode values, get them from the input data.
assert data == (9, 7)
info = client.get_graph_info(["num_edges", "num_edge_properties"])
data = (info["num_edges"], info["num_edge_properties"])
# FIXME: do not hardcode values, get them from the input data.
assert data == (17, 7)
def test_batched_ego_graphs(client_with_edgelist_csv_loaded):
(client, test_data) = client_with_edgelist_csv_loaded
extracted_gid = client.extract_subgraph()
# These are known vertex IDs in the default graph loaded
seeds = [0, 1, 2]
results_lists = client.batched_ego_graphs(
seeds, radius=1, graph_id=extracted_gid)
(srcs, dsts, weights, seeds_offsets) = results_lists
assert isinstance(srcs, Sequence)
assert isinstance(dsts, Sequence)
assert isinstance(weights, Sequence)
assert len(srcs) == len(dsts) == len(weights)
assert isinstance(seeds_offsets, Sequence)
assert len(srcs) == seeds_offsets[-1]
def test_get_edge_IDs_for_vertices(client_with_edgelist_csv_loaded):
(client, test_data) = client_with_edgelist_csv_loaded
extracted_gid = client.extract_subgraph()
srcs = [1, 2, 3]
dsts = [0, 0, 0]
edge_IDs = client.get_edge_IDs_for_vertices(srcs, dsts,
graph_id=extracted_gid)
assert len(edge_IDs) == len(srcs)
def test_uniform_neighbor_sampling(client_with_edgelist_csv_loaded):
from gaas_client.exceptions import GaasError
from gaas_client import defaults
(client, test_data) = client_with_edgelist_csv_loaded
start_list = [1, 2, 3]
fanout_vals = [2, 2, 2]
with_replacement = True
# invalid graph type - default graph is a PG, needs an extracted subgraph
with pytest.raises(GaasError):
client.uniform_neighbor_sample(start_list=start_list,
fanout_vals=fanout_vals,
with_replacement=with_replacement,
graph_id=defaults.graph_id)
extracted_gid = client.extract_subgraph(renumber_graph=True)
result = client.uniform_neighbor_sample(start_list=start_list,
fanout_vals=fanout_vals,
with_replacement=with_replacement,
graph_id=extracted_gid)
| 0 |
rapidsai_public_repos/GaaS/python/tests
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rapidsai_public_repos/GaaS/python/tests/data/transactions.csv
|
"user_id" "merchant_id" "volume" "time" "card_num" "card_type"
89021 11 33.2 1639084966.5513437 123456 "MC"
89216 4 0 1639085163.481217 8832 "CASH"
78634 16 72.0 1639084912.567394 4321 "DEBIT"
32431 4 103.2 1639084721.354346 98124 "V"
| 0 |
rapidsai_public_repos/GaaS/python/tests
|
rapidsai_public_repos/GaaS/python/tests/data/referrals.csv
|
"user_id_1" "user_id_2" "merchant_id" "stars"
89216 78634 11 5
89021 89216 4 4
89021 89216 21 3
89021 89216 11 3
89021 78634 21 4
78634 32431 11 4
78634 89216 21 3
78634 89216 21 4
| 0 |
rapidsai_public_repos/GaaS/python/tests
|
rapidsai_public_repos/GaaS/python/tests/data/users.csv
|
"user_id" "user_location" "vertical"
89021 78757 0
32431 78750 1
89216 78757 1
78634 47906 0
| 0 |
rapidsai_public_repos/GaaS/python/tests
|
rapidsai_public_repos/GaaS/python/tests/data/merchants.csv
|
"merchant_id" "merchant_location" "merchant_size" "merchant_sales" "merchant_num_employees" "merchant_name"
11 78750 44 123.2 12 "north"
4 78757 112 234.99 18 "south"
21 44145 83 992.1 27 "east"
16 47906 92 32.43 5 "west"
86 47906 192 2.43 51 "west"
| 0 |
rapidsai_public_repos/GaaS/python/tests
|
rapidsai_public_repos/GaaS/python/tests/data/relationships.csv
|
"user_id_1" "user_id_2" "relationship_type"
89216 89021 9
89216 32431 9
32431 78634 8
78634 89216 8
78634 89216 9
| 0 |
rapidsai_public_repos/GaaS/python/tests
|
rapidsai_public_repos/GaaS/python/tests/data/karate.csv
|
1 0 1.0
2 0 1.0
3 0 1.0
4 0 1.0
5 0 1.0
6 0 1.0
7 0 1.0
8 0 1.0
10 0 1.0
11 0 1.0
12 0 1.0
13 0 1.0
17 0 1.0
19 0 1.0
21 0 1.0
31 0 1.0
2 1 1.0
3 1 1.0
7 1 1.0
13 1 1.0
17 1 1.0
19 1 1.0
21 1 1.0
30 1 1.0
3 2 1.0
7 2 1.0
8 2 1.0
9 2 1.0
13 2 1.0
27 2 1.0
28 2 1.0
32 2 1.0
7 3 1.0
12 3 1.0
13 3 1.0
6 4 1.0
10 4 1.0
6 5 1.0
10 5 1.0
16 5 1.0
16 6 1.0
30 8 1.0
32 8 1.0
33 8 1.0
33 9 1.0
33 13 1.0
32 14 1.0
33 14 1.0
32 15 1.0
33 15 1.0
32 18 1.0
33 18 1.0
33 19 1.0
32 20 1.0
33 20 1.0
32 22 1.0
33 22 1.0
25 23 1.0
27 23 1.0
29 23 1.0
32 23 1.0
33 23 1.0
25 24 1.0
27 24 1.0
31 24 1.0
31 25 1.0
29 26 1.0
33 26 1.0
33 27 1.0
31 28 1.0
33 28 1.0
32 29 1.0
33 29 1.0
32 30 1.0
33 30 1.0
32 31 1.0
33 31 1.0
33 32 1.0
0 1 1.0
0 2 1.0
0 3 1.0
0 4 1.0
0 5 1.0
0 6 1.0
0 7 1.0
0 8 1.0
0 10 1.0
0 11 1.0
0 12 1.0
0 13 1.0
0 17 1.0
0 19 1.0
0 21 1.0
0 31 1.0
1 2 1.0
1 3 1.0
1 7 1.0
1 13 1.0
1 17 1.0
1 19 1.0
1 21 1.0
1 30 1.0
2 3 1.0
2 7 1.0
2 8 1.0
2 9 1.0
2 13 1.0
2 27 1.0
2 28 1.0
2 32 1.0
3 7 1.0
3 12 1.0
3 13 1.0
4 6 1.0
4 10 1.0
5 6 1.0
5 10 1.0
5 16 1.0
6 16 1.0
8 30 1.0
8 32 1.0
8 33 1.0
9 33 1.0
13 33 1.0
14 32 1.0
14 33 1.0
15 32 1.0
15 33 1.0
18 32 1.0
18 33 1.0
19 33 1.0
20 32 1.0
20 33 1.0
22 32 1.0
22 33 1.0
23 25 1.0
23 27 1.0
23 29 1.0
23 32 1.0
23 33 1.0
24 25 1.0
24 27 1.0
24 31 1.0
25 31 1.0
26 29 1.0
26 33 1.0
27 33 1.0
28 31 1.0
28 33 1.0
29 32 1.0
29 33 1.0
30 32 1.0
30 33 1.0
31 32 1.0
31 33 1.0
32 33 1.0
| 0 |
rapidsai_public_repos/GaaS/python
|
rapidsai_public_repos/GaaS/python/gaas_server/server.py
|
# Copyright (c) 2022, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import argparse
from pathlib import Path
from gaas_client import defaults
from gaas_client.gaas_thrift import create_server
from gaas_server.gaas_handler import GaasHandler
def create_handler(graph_creation_extension_dir=None,
dask_scheduler_file=None):
"""
Create and return a GaasHandler instance initialized with options. Setting
graph_creation_extension_dir to a valid dir results in the handler loading
graph creation extensions from that dir.
"""
handler = GaasHandler()
if graph_creation_extension_dir is not None:
handler.load_graph_creation_extensions(graph_creation_extension_dir)
if dask_scheduler_file is not None:
# FIXME: if initialize_dask_client(None) is called, it creates a
# LocalCUDACluster. Add support for this via a different CLI option?
handler.initialize_dask_client(dask_scheduler_file)
return handler
def start_server_blocking(handler, host, port):
"""
Start the GaaS server on host/port, using handler as the request handler
instance. This call blocks indefinitely until Ctrl-C.
"""
server = create_server(handler, host=host, port=port)
server.serve() # blocks until Ctrl-C (kill -2)
if __name__ == "__main__":
arg_parser = argparse.ArgumentParser(
description="GaaS - (cu)Graph as a Service")
arg_parser.add_argument("--host",
type=str,
default=defaults.host,
help="hostname the server should use, default " \
f"is {defaults.host}")
arg_parser.add_argument("--port",
type=int,
default=defaults.port,
help="port the server should listen on, default " \
f"is {defaults.port}")
arg_parser.add_argument("--graph-creation-extension-dir",
type=Path,
help="dir to load graph creation extension " \
"functions from")
arg_parser.add_argument("--dask-scheduler-file",
type=Path,
help="file generated by a dask scheduler, used " \
"for connecting to a dask cluster for MG support")
args = arg_parser.parse_args()
handler = create_handler(args.graph_creation_extension_dir,
args.dask_scheduler_file)
print("Starting GaaS...", flush=True)
start_server_blocking(handler, args.host, args.port)
print("done.")
| 0 |
rapidsai_public_repos/GaaS/python
|
rapidsai_public_repos/GaaS/python/gaas_server/gaas_handler.py
|
# Copyright (c) 2022, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from pathlib import Path
import importlib
import time
import traceback
from inspect import signature
import numpy as np
import cudf
import dask_cudf
import cugraph
from dask.distributed import Client
from dask_cuda.initialize import initialize as dask_initialize
from cugraph.experimental import PropertyGraph, MGPropertyGraph
from cugraph.dask.comms import comms as Comms
from cugraph import uniform_neighbor_sample
from cugraph.dask import uniform_neighbor_sample as mg_uniform_neighbor_sample
from cugraph.structure.graph_implementation.simpleDistributedGraph import (
simpleDistributedGraphImpl,
)
from gaas_client import defaults
from gaas_client.exceptions import GaasError
from gaas_client.types import (
BatchedEgoGraphsResult,
Node2vecResult,
UniformNeighborSampleResult,
ValueWrapper,
GraphVertexEdgeIDWrapper,
)
def call_algo(sg_algo_func, G, **kwargs):
"""
Calls the appropriate algo function based on the graph G being MG or SG. If
G is SG, sg_algo_func will be called and passed kwargs, otherwise the MG
version of sg_algo_func will be called with kwargs.
"""
is_mg_graph = isinstance(G._Impl, simpleDistributedGraphImpl)
if sg_algo_func is uniform_neighbor_sample:
if is_mg_graph:
possible_args = ["start_list", "fanout_vals", "with_replacement"]
kwargs_to_pass = {a:kwargs[a] for a in possible_args
if a in kwargs}
data = mg_uniform_neighbor_sample(G, **kwargs_to_pass)
data = data.compute()
else:
possible_args = ["start_list", "fanout_vals", "with_replacement",
"is_edge_ids"]
kwargs_to_pass = {a:kwargs[a] for a in possible_args
if a in kwargs}
data = uniform_neighbor_sample(G, **kwargs_to_pass)
return UniformNeighborSampleResult(
sources=data.sources.values_host,
destinations=data.destinations.values_host,
indices=data.indices.values_host
)
else:
raise RuntimeError(f"internal error: {sg_algo_func} is not supported")
class ExtensionServerFacade:
"""
Instances of this class are passed to server extension functions to be used
to access various aspects of the GaaS server from within the
extension. This provideas a means to insulate the GaaS handler (considered
here to be the "server") from direct access by end user extensions,
allowing extension code to query/access the server as needed without giving
extensions the ability to call potentially unsafe methods directly on the
GaasHandler.
An example is using an instance of a ExtensionServerFacade to allow a Graph
creation extension to query the SG/MG state the server is using in order to
determine how to create a Graph instance.
"""
def __init__(self, gaas_handler):
self.__handler = gaas_handler
@property
def is_mg(self):
return self.__handler.is_mg
def get_server_info(self):
# The handler returns objects suitable for serialization over RPC so
# convert them to regular py objs since this call is originating
# server-side.
return {k:ValueWrapper(v).get_py_obj() for (k, v)
in self.__handler.get_server_info().items()}
class GaasHandler:
"""
Class which handles RPC requests for a GaasService.
"""
# The name of the param that should be set to a ExtensionServerFacade
# instance for server extension functions.
__server_facade_extension_param_name = "gaas_server"
def __init__(self):
self.__next_graph_id = defaults.graph_id + 1
self.__graph_objs = {}
self.__graph_creation_extensions = {}
self.__dask_client = None
self.__dask_cluster = None
self.__start_time = int(time.time())
def __del__(self):
self.shutdown_dask_client()
############################################################################
# Environment management
@property
def is_mg(self):
"""
True if the GaasHandler has multiple GPUs available via a dask cluster.
"""
return self.__dask_client is not None
def uptime(self):
"""
Return the server uptime in seconds. This is often used as a "ping".
"""
return int(time.time()) - self.__start_time
def get_server_info(self):
"""
Returns a dictionary of meta-data about the server.
Dictionary items are string:union_objs, where union_objs are Value
"unions" used for RPC serialization.
"""
# FIXME: expose self.__dask_client.scheduler_info() as needed
if self.__dask_client is not None:
num_gpus = len(self.__dask_client.scheduler_info()["workers"])
else:
# The assumption is that GaaS requires at least 1 GPU (ie.
# currently there is no CPU-only version of GaaS)
num_gpus = 1
return {"num_gpus": ValueWrapper(num_gpus).union}
def load_graph_creation_extensions(self, extension_dir_path):
"""
Loads ("imports") all modules matching the pattern *_extension.py in
the directory specified by extension_dir_path.
The modules are searched and their functions are called (if a match is
found) when call_graph_creation_extension() is called.
"""
extension_dir = Path(extension_dir_path)
if (not extension_dir.exists()) or (not extension_dir.is_dir()):
raise GaasError(f"bad directory: {extension_dir}")
num_files_read = 0
for ext_file in extension_dir.glob("*_extension.py"):
module_name = ext_file.stem
spec = importlib.util.spec_from_file_location(module_name,
ext_file)
module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(module)
self.__graph_creation_extensions[module_name] = module
num_files_read += 1
return num_files_read
def unload_graph_creation_extensions(self):
"""
Removes all graph creation extensions.
"""
self.__graph_creation_extensions.clear()
def call_graph_creation_extension(self, func_name,
func_args_repr, func_kwargs_repr):
"""
Calls the graph creation extension function func_name and passes it the
eval'd func_args_repr and func_kwargs_repr objects.
The arg/kwarg reprs are eval'd prior to calling in order to pass actual
python objects to func_name (this is needed to allow arbitrary arg
objects to be serialized as part of the RPC call from the
client).
func_name cannot be a private name (name starting with __).
All loaded extension modules are checked when searching for func_name,
and the first extension module that contains it will have its function
called.
"""
if not(func_name.startswith("__")):
for module in self.__graph_creation_extensions.values():
# Ignore private functions
func = getattr(module, func_name, None)
if func is not None:
func_args = eval(func_args_repr)
func_kwargs = eval(func_kwargs_repr)
func_sig = signature(func)
func_params = list(func_sig.parameters.keys())
facade_param = self.__server_facade_extension_param_name
# Graph creation extensions that have the last arg named
# self.__server_facade_extension_param_name are passed a
# ExtensionServerFacade instance to allow them to query the
# "server" in a safe way, if needed.
if (facade_param in func_params):
if func_params[-1] == facade_param:
func_kwargs[facade_param] = \
ExtensionServerFacade(self)
else:
raise GaasError(f"{facade_param}, if specified, "
"must be the last param.")
try:
graph_obj = func(*func_args, **func_kwargs)
except:
# FIXME: raise a more detailed error
raise GaasError(f"error running {func_name} : "
f"{traceback.format_exc()}")
return self.__add_graph(graph_obj)
raise GaasError(f"{func_name} is not a graph creation extension")
def initialize_dask_client(self, dask_scheduler_file=None):
"""
Initialize a dask client to be used for MG operations.
"""
if dask_scheduler_file is not None:
# Env var UCX_MAX_RNDV_RAILS=1 must be set too.
dask_initialize(enable_tcp_over_ucx=True,
enable_nvlink=True,
enable_infiniband=True,
enable_rdmacm=True,
# net_devices="mlx5_0:1",
)
self.__dask_client = Client(scheduler_file=dask_scheduler_file)
else:
# FIXME: LocalCUDACluster init. Implement when tests are in place.
raise NotImplementedError
if not Comms.is_initialized():
Comms.initialize(p2p=True)
def shutdown_dask_client(self):
"""
Shutdown/cleanup the dask client for this handler instance.
"""
if self.__dask_client is not None:
Comms.destroy()
self.__dask_client.close()
if self.__dask_cluster is not None:
self.__dask_cluster.close()
self.__dask_cluster = None
self.__dask_client = None
############################################################################
# Graph management
def create_graph(self):
"""
Create a new graph associated with a new unique graph ID, return the new
graph ID.
"""
pG = self.__create_graph()
return self.__add_graph(pG)
def delete_graph(self, graph_id):
"""
Remove the graph identified by graph_id from the server.
"""
dG = self.__graph_objs.pop(graph_id, None)
if dG is None:
raise GaasError(f"invalid graph_id {graph_id}")
del dG
print(f'deleted graph with id {graph_id}')
def get_graph_ids(self):
"""
Returns a list of the graph IDs currently in use.
"""
return list(self.__graph_objs.keys())
def get_graph_info(self, keys, graph_id):
"""
Returns a dictionary of meta-data about the graph identified by
graph_id. If keys passed, only returns the values in keys.
Dictionary items are string:union_objs, where union_objs are Value
"unions" used for RPC serialization.
"""
valid_keys = set(["num_vertices",
"num_vertices_from_vertex_data",
"num_edges",
"num_vertex_properties",
"num_edge_properties",
])
if len(keys) == 0:
keys = valid_keys
else:
invalid_keys = set(keys) - valid_keys
if len(invalid_keys) != 0:
raise GaasError(f"got invalid keys: {invalid_keys}")
G = self._get_graph(graph_id)
info = {}
if isinstance(G, (PropertyGraph, MGPropertyGraph)):
for k in keys:
if k == "num_vertices":
info[k] = G.get_num_vertices()
elif k == "num_vertices_from_vertex_data":
info[k] = G.get_num_vertices(include_edge_data=False)
elif k == "num_edges":
info[k] = G.get_num_edges()
elif k == "num_vertex_properties":
info[k] = len(G.vertex_property_names)
elif k == "num_edge_properties":
info[k] = len(G.edge_property_names)
else:
for k in keys:
if k == "num_vertices":
info[k] = G.number_of_vertices()
elif k == "num_vertices_from_vertex_data":
info[k] = 0
elif k == "num_edges":
info[k] = G.number_of_edges()
elif k == "num_vertex_properties":
info[k] = 0
elif k == "num_edge_properties":
info[k] = 0
return {key:ValueWrapper(value).union for (key, value) in info.items()}
def get_graph_type(self, graph_id):
"""
Returns a string repr of the graph type associated with graph_id.
"""
return repr(type(self._get_graph(graph_id)))
def load_csv_as_vertex_data(self,
csv_file_name,
delimiter,
dtypes,
header,
vertex_col_name,
type_name,
property_columns,
graph_id,
names
):
"""
Given a CSV csv_file_name present on the server's file system, read it
and apply it as edge data to the graph specified by graph_id, or the
default graph if not specified.
"""
pG = self._get_graph(graph_id)
if header == -1:
header = "infer"
elif header == -2:
header = None
if len(names) == 0:
names = None
# FIXME: error check that file exists
# FIXME: error check that edgelist was read correctly
try:
gdf = self.__get_dataframe_from_csv(csv_file_name,
delimiter=delimiter,
dtypes=dtypes,
header=header,
names=names)
pG.add_vertex_data(gdf,
type_name=type_name,
vertex_col_name=vertex_col_name,
property_columns=property_columns)
except:
raise GaasError(f"{traceback.format_exc()}")
def load_csv_as_edge_data(self,
csv_file_name,
delimiter,
dtypes,
header,
vertex_col_names,
type_name,
property_columns,
graph_id,
names
):
"""
Given a CSV csv_file_name present on the server's file system, read it
and apply it as vertex data to the graph specified by graph_id, or the
default graph if not specified.
"""
pG = self._get_graph(graph_id)
# FIXME: error check that file exists
# FIXME: error check that edgelist read correctly
if header == -1:
header = "infer"
elif header == -2:
header = None
if len(names) == 0:
names = None
try:
gdf = self.__get_dataframe_from_csv(csv_file_name,
delimiter=delimiter,
dtypes=dtypes,
header=header,
names=names)
pG.add_edge_data(gdf,
type_name=type_name,
vertex_col_names=vertex_col_names,
property_columns=property_columns)
except:
raise GaasError(f"{traceback.format_exc()}")
# FIXME: ensure edge IDs can also be filtered by edge type
# See: https://github.com/rapidsai/cugraph/issues/2655
def get_edge_IDs_for_vertices(self, src_vert_IDs, dst_vert_IDs, graph_id):
"""
Return a list of edge IDs corresponding to the vertex IDs in each of
src_vert_IDs and dst_vert_IDs that, when combined, define an edge in the
graph associated with graph_id.
For example, if src_vert_IDs is [0, 1, 2] and dst_vert_IDs is [7, 8, 9],
return the edge IDs for edges (0, 7), (1, 8), and (2, 9).
graph_id must be associated with a Graph extracted from a PropertyGraph
(MG or SG).
"""
G = self._get_graph(graph_id)
if isinstance(G, (PropertyGraph, MGPropertyGraph)):
raise GaasError("get_edge_IDs_for_vertices() only accepts an "
"extracted subgraph ID, got an ID for a "
f"{type(G)}.")
return self.__get_edge_IDs_from_graph_edge_data(G,
src_vert_IDs,
dst_vert_IDs)
def extract_subgraph(self,
create_using,
selection,
edge_weight_property,
default_edge_weight,
allow_multi_edges,
renumber_graph,
add_edge_data,
graph_id
):
"""
Extract a subgraph, return a new graph ID
"""
pG = self._get_graph(graph_id)
if not(isinstance(pG, (PropertyGraph, MGPropertyGraph))):
raise GaasError("extract_subgraph() can only be called on a graph "
"with properties.")
# Convert defaults needed for the RPC API into defaults used by
# PropertyGraph.extract_subgraph()
create_using = create_using or cugraph.Graph
selection = selection or None
edge_weight_property = edge_weight_property or None
# FIXME: create_using and selection should not be strings at this point
try:
G = pG.extract_subgraph(create_using,
selection,
edge_weight_property,
default_edge_weight,
allow_multi_edges,
renumber_graph,
add_edge_data)
except:
raise GaasError(f"{traceback.format_exc()}")
return self.__add_graph(G)
def get_graph_vertex_data(self,
id_or_ids,
null_replacement_value,
graph_id,
property_keys):
"""
Returns the vertex data as a serialized numpy array for the given
id_or_ids. null_replacement_value must be provided if the data
contains NA values, since NA values cannot be serialized.
"""
pG = self._get_graph(graph_id)
ids = GraphVertexEdgeIDWrapper(id_or_ids).get_py_obj()
if ids == -1:
ids = None
elif not isinstance(ids, list):
ids = [ids]
if property_keys == []:
columns = None
else:
columns = property_keys
df = pG.get_vertex_data(vertex_ids=ids, columns=columns)
return self.__get_graph_data_as_numpy_bytes(df, null_replacement_value)
def get_graph_edge_data(self,
id_or_ids,
null_replacement_value,
graph_id,
property_keys):
"""
Returns the edge data as a serialized numpy array for the given
id_or_ids. null_replacement_value must be provided if the data
contains NA values, since NA values cannot be serialized.
"""
pG = self._get_graph(graph_id)
ids = GraphVertexEdgeIDWrapper(id_or_ids).get_py_obj()
if ids == -1:
ids = None
elif not isinstance(ids, list):
ids = [ids]
if property_keys == []:
columns = None
else:
columns = property_keys
df = pG.get_edge_data(edge_ids=ids, columns=columns)
return self.__get_graph_data_as_numpy_bytes(df, null_replacement_value)
def is_vertex_property(self, property_key, graph_id):
G = self._get_graph(graph_id)
if isinstance(G, (PropertyGraph, MGPropertyGraph)):
return property_key in G.vertex_property_names
raise GaasError('Graph does not contain properties')
def is_edge_property(self, property_key, graph_id):
G = self._get_graph(graph_id)
if isinstance(G, (PropertyGraph, MGPropertyGraph)):
return property_key in G.edge_property_names
raise GaasError('Graph does not contain properties')
############################################################################
# Algos
def batched_ego_graphs(self, seeds, radius, graph_id):
"""
"""
st=time.time()
print("\n----- [GaaS] -----> starting egonet", flush=True)
# FIXME: finish docstring above
# FIXME: exception handling
G = self._get_graph(graph_id)
# FIXME: write test to catch an MGPropertyGraph being passed in
if isinstance(G, PropertyGraph):
raise GaasError("batched_ego_graphs() cannot operate directly on "
"a graph with properties, call extract_subgraph() "
"then call batched_ego_graphs() on the extracted "
"subgraph instead.")
try:
# FIXME: update this to use call_algo()
# FIXME: this should not be needed, need to update
# cugraph.batched_ego_graphs to also accept a list
seeds = cudf.Series(seeds, dtype="int32")
st2=time.time()
print(" ----- [GaaS] -----> calling cuGraph", flush=True)
(ego_edge_list, seeds_offsets) = \
cugraph.batched_ego_graphs(G, seeds, radius)
print(f" ----- [GaaS] -----> FINISHED calling cuGraph, time was: {time.time()-st2}s", flush=True)
st2=time.time()
print(" ----- [GaaS] -----> copying to host", flush=True)
print(f" ----- [GaaS] -----> {len(ego_edge_list['src'])} num edges", flush=True)
#batched_ego_graphs_result = BatchedEgoGraphsResult(
# src_verts=ego_edge_list["src"].values_host.tobytes(), #int32
# dst_verts=ego_edge_list["dst"].values_host.tobytes(), #int32
# edge_weights=ego_edge_list["weight"].values_host.tobytes(), #float64
# seeds_offsets=seeds_offsets.values_host.tobytes() #int64
#)
batched_ego_graphs_result = BatchedEgoGraphsResult(
src_verts=ego_edge_list["src"].values_host,
dst_verts=ego_edge_list["dst"].values_host,
edge_weights=ego_edge_list["weight"].values_host,
seeds_offsets=seeds_offsets.values_host
)
print(f" ----- [GaaS] -----> FINISHED copying to host, time was: {time.time()-st2}s", flush=True)
return batched_ego_graphs_result
except:
raise GaasError(f"{traceback.format_exc()}")
print(f"----- [GaaS] -----> FINISHED egonet, time was: {time.time()-st}s", flush=True)
return batched_ego_graphs_result
def node2vec(self, start_vertices, max_depth, graph_id):
"""
"""
# FIXME: finish docstring above
# FIXME: exception handling
G = self._get_graph(graph_id)
# FIXME: write test to catch an MGPropertyGraph being passed in
if isinstance(G, PropertyGraph):
raise GaasError("node2vec() cannot operate directly on a graph with"
" properties, call extract_subgraph() then call "
"node2vec() on the extracted subgraph instead.")
try:
# FIXME: update this to use call_algo()
# FIXME: this should not be needed, need to update cugraph.node2vec to
# also accept a list
start_vertices = cudf.Series(start_vertices, dtype="int32")
(paths, weights, path_sizes) = \
cugraph.node2vec(G, start_vertices, max_depth)
node2vec_result = Node2vecResult(
vertex_paths = paths.values_host,
edge_weights = weights.values_host,
path_sizes = path_sizes.values_host,
)
except:
raise GaasError(f"{traceback.format_exc()}")
return node2vec_result
def uniform_neighbor_sample(self,
start_list,
fanout_vals,
with_replacement,
graph_id,
):
G = self._get_graph(graph_id)
if isinstance(G, (MGPropertyGraph, PropertyGraph)):
raise GaasError("uniform_neighbor_sample() cannot operate directly "
"on a graph with properties, call "
"extract_subgraph() then call "
"uniform_neighbor_sample() on the extracted "
"subgraph instead.")
try:
return call_algo(
uniform_neighbor_sample,
G,
start_list=start_list,
fanout_vals=fanout_vals,
with_replacement=with_replacement
)
except:
raise GaasError(f"{traceback.format_exc()}")
def pagerank(self, graph_id):
"""
"""
raise NotImplementedError
############################################################################
# "Protected" interface - used for both implementation and test/debug. Will
# not be exposed to a GaaS client.
def _get_graph(self, graph_id):
"""
Return the cuGraph Graph object associated with graph_id.
If the graph_id is the default graph ID and the default graph has not
been created, then instantiate a new PropertyGraph as the default graph
and return it.
"""
pG = self.__graph_objs.get(graph_id)
# Always create the default graph if it does not exist
if pG is None:
if graph_id == defaults.graph_id:
pG = self.__create_graph()
self.__graph_objs[graph_id] = pG
else:
raise GaasError(f"invalid graph_id {graph_id}")
return pG
############################################################################
# Private
def __get_dataframe_from_csv(self,
csv_file_name,
delimiter,
dtypes,
header,
names):
"""
Read a CSV into a DataFrame and return it. This will use either a cuDF
DataFrame or a dask_cudf DataFrame based on if the handler is configured
to use a dask cluster or not.
"""
gdf = cudf.read_csv(csv_file_name,
delimiter=delimiter,
dtype=dtypes,
header=header,
names=names)
if self.is_mg:
num_gpus = len(self.__dask_client.scheduler_info()["workers"])
return dask_cudf.from_cudf(gdf, npartitions=num_gpus)
return gdf
def __add_graph(self, G):
"""
Create a new graph ID for G and add G to the internal mapping of
graph ID:graph instance.
"""
gid = self.__next_graph_id
self.__graph_objs[gid] = G
self.__next_graph_id += 1
return gid
def __create_graph(self):
"""
Instantiate a graph object using a type appropriate for the handler (
either SG or MG)
"""
return MGPropertyGraph() if self.is_mg else PropertyGraph()
# FIXME: consider adding this to PropertyGraph
def __remove_internal_columns(self, pg_column_names):
"""
Removes all column names from pg_column_names that are "internal" (ie.
used for PropertyGraph bookkeeping purposes only)
"""
internal_column_names=[PropertyGraph.vertex_col_name,
PropertyGraph.src_col_name,
PropertyGraph.dst_col_name,
PropertyGraph.type_col_name,
PropertyGraph.edge_id_col_name,
PropertyGraph.vertex_id_col_name,
PropertyGraph.weight_col_name]
# Create a list of user-visible columns by removing the internals while
# preserving order
user_visible_column_names = list(pg_column_names)
for internal_column_name in internal_column_names:
if internal_column_name in user_visible_column_names:
user_visible_column_names.remove(internal_column_name)
return user_visible_column_names
# FIXME: consider adding this to PropertyGraph
def __get_edge_IDs_from_graph_edge_data(self,
G,
src_vert_IDs,
dst_vert_IDs):
"""
Return a list of edge IDs corresponding to the vertex IDs in each of
src_vert_IDs and dst_vert_IDs that, when combined, define an edge in G.
For example, if src_vert_IDs is [0, 1, 2] and dst_vert_IDs is [7, 8, 9],
return the edge IDs for edges (0, 7), (1, 8), and (2, 9).
G must have an "edge_data" attribute.
"""
edge_IDs = []
num_edges = len(src_vert_IDs)
for i in range(num_edges):
src_mask = G.edge_data[PropertyGraph.src_col_name] == \
src_vert_IDs[i]
dst_mask = G.edge_data[PropertyGraph.dst_col_name] == \
dst_vert_IDs[i]
value = G.edge_data[src_mask & dst_mask]\
[PropertyGraph.edge_id_col_name]
# FIXME: This will compute the result (if using dask) then transfer
# to host memory for each iteration - is there a more efficient way?
if self.is_mg:
value = value.compute()
edge_IDs.append(value.values_host[0])
return edge_IDs
def __get_graph_data_as_numpy_bytes(self,
dataframe,
null_replacement_value):
"""
Returns a byte array repr of the vertex or edge graph data. Since the byte
array cannot represent NA values, null_replacement_value must be
provided to be used in place of NAs.
"""
try:
if dataframe is None:
return np.ndarray(shape=(0, 0)).dumps()
elif isinstance(dataframe, dask_cudf.DataFrame):
df = dataframe.compute()
else:
df = dataframe
# null_replacement_value is a Value "union"
n = ValueWrapper(null_replacement_value).get_py_obj()
# This needs to be a copy of the df data to replace NA values
# FIXME: should something other than a numpy type be serialized to
# prevent a copy? (note: any other type required to be de-serialzed
# on the client end could add dependencies on the client)
df_numpy = df.to_numpy(na_value=n)
return df_numpy.dumps()
except:
raise GaasError(f"{traceback.format_exc()}")
| 0 |
rapidsai_public_repos/GaaS
|
rapidsai_public_repos/GaaS/scripts/default-config.sh
|
# Copyright (c) 2022, NVIDIA CORPORATION.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
THIS_DIR=$(cd $(dirname ${BASH_SOURCE[0]}) && pwd)
# Most are defined using the bash := or :- syntax, which means they
# will be set only if they were previously unset. The project config
# is loaded first, which gives it the opportunity to override anything
# in this file that uses that syntax. If there are variables in this
# file that should not be overridded by a project, then they will
# simply not use that syntax and override, since these variables are
# read last.
SCRIPTS_DIR=$THIS_DIR
# These really should be oerridden by the project config!
CONDA_ENV=${CONDA_ENV:-rapids}
GPUS_PER_NODE=${GPUS_PER_NODE:-8}
WORKER_RMM_POOL_SIZE=${WORKER_RMM_POOL_SIZE:-12G}
DASK_CUDA_INTERFACE=${DASK_CUDA_INTERFACE:-ib0}
DASK_SCHEDULER_PORT=${DASK_SCHEDULER_PORT:-8792}
DASK_DEVICE_MEMORY_LIMIT=${DASK_DEVICE_MEMORY_LIMIT:-auto}
DASK_HOST_MEMORY_LIMIT=${DASK_HOST_MEMORY_LIMIT:-auto}
BUILD_LOG_FILE=${BUILD_LOG_FILE:-${RESULTS_DIR}/build_log.txt}
SCHEDULER_FILE=${SCHEDULER_FILE:-${WORKSPACE}/dask-scheduler.json}
DATE=${DATE:-$(date --utc "+%Y-%m-%d_%H:%M:%S")_UTC}
ENV_EXPORT_FILE=${ENV_EXPORT_FILE:-${WORKSPACE}/$(basename ${CONDA_ENV})-${DATE}.txt}
| 0 |
rapidsai_public_repos/GaaS
|
rapidsai_public_repos/GaaS/scripts/README.md
|
This directory contains various scripts helpful for GaaS users and developers.
The following scripts were copied from https://github.com/rapidsai/multi-gpu-tools and are useful for starting a dask cluster, which is needed by GaaS for multi-GPU support.
* `run-dask-process.sh`
* `functions.sh`
* `default-config.sh`
| 0 |
rapidsai_public_repos/GaaS
|
rapidsai_public_repos/GaaS/scripts/functions.sh
|
# Copyright (c) 2022, NVIDIA CORPORATION.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# This file is source'd from script-env.sh to add functions to the
# calling environment, hence no #!/bin/bash as the first line. This
# also assumes the variables used in this file have been defined
# elsewhere.
NUMARGS=$#
ARGS=$*
function hasArg {
(( ${NUMARGS} != 0 )) && (echo " ${ARGS} " | grep -q " $1 ")
}
function logger {
echo -e ">>>> $@"
}
# Calling "setTee outfile" will cause all stdout and stderr of the
# current script to be output to "tee", which outputs to stdout and
# "outfile" simultaneously. This is useful by allowing a script to
# "tee" itself at any point without being called with tee.
_origFileDescriptorsSaved=0
function setTee {
if [[ $_origFileDescriptorsSaved == 0 ]]; then
# Save off the original file descr 1 and 2 as 3 and 4
exec 3>&1 4>&2
_origFileDescriptorsSaved=1
fi
teeFile=$1
# Create a named pipe.
pipeName=$(mktemp -u)
mkfifo $pipeName
# Close the currnet 1 and 2 and restore to original (3, 4) in the
# event this function is called repeatedly.
exec 1>&- 2>&-
exec 1>&3 2>&4
# Start a tee process reading from the named pipe. Redirect stdout
# and stderr to the named pipe which goes to the tee process. The
# named pipe "file" can be removed and the tee process stays alive
# until the fd is closed.
tee -a < $pipeName $teeFile &
exec > $pipeName 2>&1
rm $pipeName
}
# Call this to stop script output from going to "tee" after a prior
# call to setTee.
function unsetTee {
if [[ $_origFileDescriptorsSaved == 1 ]]; then
# Close the current fd 1 and 2 which should stop the tee
# process, then restore 1 and 2 to original (saved as 3, 4).
exec 1>&- 2>&-
exec 1>&3 2>&4
fi
}
| 0 |
rapidsai_public_repos/GaaS
|
rapidsai_public_repos/GaaS/scripts/run-dask-process.sh
|
#!/bin/bash
# Copyright (c) 2022, NVIDIA CORPORATION.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
THIS_DIR=$(cd $(dirname ${BASH_SOURCE[0]}) && pwd)
source ${THIS_DIR}/default-config.sh
source ${THIS_DIR}/functions.sh
# Logs can be written to a specific location by setting the LOGS_DIR
# env var.
LOGS_DIR=${LOGS_DIR:-dask_logs-$$}
########################################
NUMARGS=$#
ARGS=$*
function hasArg {
(( ${NUMARGS} != 0 )) && (echo " ${ARGS} " | grep -q " $1 ")
}
VALIDARGS="-h --help scheduler workers --tcp --ucx --ucxib --ucx-ib"
HELP="$0 [<app> ...] [<flag> ...]
where <app> is:
scheduler - start dask scheduler
workers - start dask workers
and <flag> is:
--tcp - initalize a tcp cluster (default)
--ucx - initialize a ucx cluster with NVLink
--ucxib | --ucx-ib - initialize a ucx cluster with IB+NVLink
-h | --help - print this text
The cluster config order of precedence is any specification on the
command line (--tcp, --ucx, etc.) if provided, then the value of the
env var CLUSTER_CONFIG_TYPE if set, then the default value of tcp.
"
# CLUSTER_CONFIG_TYPE defaults to the env var value if set, else TCP
CLUSTER_CONFIG_TYPE=${CLUSTER_CONFIG_TYPE:-TCP}
START_SCHEDULER=0
START_WORKERS=0
if (( ${NUMARGS} == 0 )); then
echo "${HELP}"
exit 0
else
if hasArg -h || hasArg --help; then
echo "${HELP}"
exit 0
fi
for a in ${ARGS}; do
if ! (echo " ${VALIDARGS} " | grep -q " ${a} "); then
echo "Invalid option: ${a}"
exit 1
fi
done
fi
if hasArg scheduler; then
START_SCHEDULER=1
fi
if hasArg workers; then
START_WORKERS=1
fi
# Allow the command line to take precedence
if hasArg --tcp; then
CLUSTER_CONFIG_TYPE=TCP
elif hasArg --ucx; then
CLUSTER_CONFIG_TYPE=UCX
elif hasArg --ucxib || hasArg --ucx-ib; then
CLUSTER_CONFIG_TYPE=UCXIB
fi
########################################
#export DASK_LOGGING__DISTRIBUTED="DEBUG"
#ulimit -n 100000
SCHEDULER_LOG=${LOGS_DIR}/scheduler_log.txt
WORKERS_LOG=${LOGS_DIR}/worker-${HOSTNAME}_log.txt
function buildTcpArgs {
export DASK_DISTRIBUTED__COMM__TIMEOUTS__CONNECT="100s"
export DASK_DISTRIBUTED__COMM__TIMEOUTS__TCP="600s"
export DASK_DISTRIBUTED__COMM__RETRY__DELAY__MIN="1s"
export DASK_DISTRIBUTED__COMM__RETRY__DELAY__MAX="60s"
export DASK_DISTRIBUTED__WORKER__MEMORY__Terminate="False"
SCHEDULER_ARGS="--protocol=tcp
--port=$DASK_SCHEDULER_PORT
--scheduler-file $SCHEDULER_FILE
"
WORKER_ARGS="--rmm-pool-size=$WORKER_RMM_POOL_SIZE
--local-directory=/tmp/$LOGNAME
--scheduler-file=$SCHEDULER_FILE
--memory-limit=$DASK_HOST_MEMORY_LIMIT
--device-memory-limit=$DASK_DEVICE_MEMORY_LIMIT
"
}
function buildUCXWithInfinibandArgs {
export UCX_MAX_RNDV_RAILS=1
export UCX_MEMTYPE_REG_WHOLE_ALLOC_TYPES=cuda
export DASK_RMM__POOL_SIZE=0.5GB
export DASK_DISTRIBUTED__COMM__UCX__CREATE_CUDA_CONTEXT=True
SCHEDULER_ARGS="--protocol=ucx
--port=$DASK_SCHEDULER_PORT
--interface=$DASK_CUDA_INTERFACE
--scheduler-file $SCHEDULER_FILE
"
WORKER_ARGS="--interface=$DASK_CUDA_INTERFACE
--rmm-pool-size=$WORKER_RMM_POOL_SIZE
--rmm-maximum-pool-size=$WORKER_RMM_POOL_SIZE
--local-directory=/tmp/$LOGNAME
--scheduler-file=$SCHEDULER_FILE
--memory-limit=$DASK_HOST_MEMORY_LIMIT
--device-memory-limit=$DASK_DEVICE_MEMORY_LIMIT
--jit-unspill
"
}
function buildUCXwithoutInfinibandArgs {
export UCX_TCP_CM_REUSEADDR=y
export UCX_MAX_RNDV_RAILS=1
export UCX_TCP_TX_SEG_SIZE=8M
export UCX_TCP_RX_SEG_SIZE=8M
export DASK_DISTRIBUTED__COMM__UCX__CUDA_COPY=True
export DASK_DISTRIBUTED__COMM__UCX__TCP=True
export DASK_DISTRIBUTED__COMM__UCX__NVLINK=True
export DASK_DISTRIBUTED__COMM__UCX__INFINIBAND=False
export DASK_DISTRIBUTED__COMM__UCX__RDMACM=False
export DASK_RMM__POOL_SIZE=0.5GB
SCHEDULER_ARGS="--protocol=ucx
--port=$DASK_SCHEDULER_PORT
--scheduler-file $SCHEDULER_FILE
"
WORKER_ARGS="--enable-tcp-over-ucx
--enable-nvlink
--disable-infiniband
--disable-rdmacm
--rmm-pool-size=$WORKER_RMM_POOL_SIZE
--rmm-maximum-pool-size=$WORKER_RMM_POOL_SIZE
--local-directory=/tmp/$LOGNAME
--scheduler-file=$SCHEDULER_FILE
--memory-limit=$DASK_HOST_MEMORY_LIMIT
--device-memory-limit=$DASK_DEVICE_MEMORY_LIMIT
--jit-unspill
"
}
if [[ "$CLUSTER_CONFIG_TYPE" == "UCX" ]]; then
logger "Using cluster configurtion for UCX"
buildUCXwithoutInfinibandArgs
elif [[ "$CLUSTER_CONFIG_TYPE" == "UCXIB" ]]; then
logger "Using cluster configurtion for UCX with Infiniband"
buildUCXWithInfinibandArgs
else
logger "Using cluster configurtion for TCP"
buildTcpArgs
fi
########################################
scheduler_pid=""
worker_pid=""
num_scheduler_tries=0
function startScheduler {
mkdir -p $(dirname $SCHEDULER_FILE)
echo "RUNNING: \"python -m distributed.cli.dask_scheduler $SCHEDULER_ARGS\"" > $SCHEDULER_LOG
dask-scheduler $SCHEDULER_ARGS >> $SCHEDULER_LOG 2>&1 &
scheduler_pid=$!
}
mkdir -p $LOGS_DIR
logger "Logs written to: $LOGS_DIR"
if [[ $START_SCHEDULER == 1 ]]; then
rm -f $SCHEDULER_FILE $SCHEDULER_LOG $WORKERS_LOG
startScheduler
sleep 6
num_scheduler_tries=$(python -c "print($num_scheduler_tries+1)")
# Wait for the scheduler to start first before proceeding, since
# it may require several retries (if prior run left ports open
# that need time to close, etc.)
while [ ! -f "$SCHEDULER_FILE" ]; do
scheduler_alive=$(ps -p $scheduler_pid > /dev/null ; echo $?)
if [[ $scheduler_alive != 0 ]]; then
if [[ $num_scheduler_tries != 30 ]]; then
echo "scheduler failed to start, retry #$num_scheduler_tries"
startScheduler
sleep 6
num_scheduler_tries=$(echo $num_scheduler_tries+1 | bc)
else
echo "could not start scheduler, exiting."
exit 1
fi
fi
done
echo "scheduler started."
fi
if [[ $START_WORKERS == 1 ]]; then
rm -f $WORKERS_LOG
while [ ! -f "$SCHEDULER_FILE" ]; do
echo "run-dask-process.sh: $SCHEDULER_FILE not present - waiting to start workers..."
sleep 2
done
echo "RUNNING: \"python -m dask_cuda.cli.dask_cuda_worker $WORKER_ARGS\"" > $WORKERS_LOG
dask-cuda-worker $WORKER_ARGS >> $WORKERS_LOG 2>&1 &
worker_pid=$!
echo "worker(s) started."
fi
# This script will not return until the following background process
# have been completed/killed.
if [[ $worker_pid != "" ]]; then
echo "waiting for worker pid $worker_pid to finish before exiting script..."
wait $worker_pid
fi
if [[ $scheduler_pid != "" ]]; then
echo "waiting for scheduler pid $scheduler_pid to finish before exiting script..."
wait $scheduler_pid
fi
| 0 |
rapidsai_public_repos/GaaS/docs
|
rapidsai_public_repos/GaaS/docs/gaas/README.md
|
# Building Documentation
...._coming soon_
## Steps to follow:
...._coming soon_
```bash
# most be in the /docs/cugraph directory
make html
```
This should run Sphinx in your shell, and outputs to `build/html/index.html`
## View docs web page by opening HTML in browser:
First navigate to `/build/html/` folder, and then run the following command:
```bash
python -m http.server
```
Then, navigate a web browser to the IP address or hostname of the host machine at port 8000:
```
https://<host IP-Address>:8000
```
Now you can check if your docs edits formatted correctly, and read well.
| 0 |
rapidsai_public_repos
|
rapidsai_public_repos/rapids.ai/package.json
|
{
"devDependencies": {
"autoprefixer":"^10.4.16",
"postcss":"^8.4.31",
"postcss-cli":"^10.1.0"
}
}
| 0 |
rapidsai_public_repos
|
rapidsai_public_repos/rapids.ai/.nvmrc
|
20
| 0 |
rapidsai_public_repos
|
rapidsai_public_repos/rapids.ai/README.md
|
# <div align="left"><img src="https://rapids.ai/assets/images/rapids_logo.png" width="90px"/> [RAPIDS.ai](https://rapids.ai.com) Website
This repository contains the source code and content for the [RAPIDS.ai](https://rapids.ai) website.
The site uses [Hugo](https://gohugo.io/) as a static site generator with the [Docsy theme](https://github.com/google/docsy).
## Requirements
All logos and images are located in the [images](/static/images) folder. Externally (no website) referenced files should be placed in the [assets](/assets) folder.
Font Icons are used from [Font Awesome](https://fontawesome.com/), and include Pro account icons.
## Pull Request Previews
[Netlify](https://www.netlify.com/) will create a preview environment when PRs are opened.
## Contributing
You can use the included devcontainer for local development.
Start the container and run `hugo serve` to start a development server.
To view draft files, run `hugo serve -D`.
The development server can be viewed in a browser at <http://localhost:1313>.
| 0 |
rapidsai_public_repos
|
rapidsai_public_repos/rapids.ai/build.sh
|
#!/bin/bash
set -euo pipefail
HUGO_ENV=${HUGO_ENV:-staging}
hugo --gc --minify "$@"
cp _redirects public
| 0 |
rapidsai_public_repos
|
rapidsai_public_repos/rapids.ai/go.sum
|
github.com/FortAwesome/Font-Awesome v0.0.0-20230327165841-0698449d50f2/go.mod h1:IUgezN/MFpCDIlFezw3L8j83oeiIuYoj28Miwr/KUYo=
github.com/google/docsy v0.7.1 h1:DUriA7Nr3lJjNi9Ulev1SfiG1sUYmvyDeU4nTp7uDxY=
github.com/google/docsy v0.7.1/go.mod h1:JCmE+c+izhE0Rvzv3y+AzHhz1KdwlA9Oj5YBMklJcfc=
github.com/google/docsy/dependencies v0.7.1 h1:NbzYKJYMin2q50xdWSUzR2c9gCp7zR/XHDBcxklEcTQ=
github.com/google/docsy/dependencies v0.7.1/go.mod h1:gihhs5gmgeO+wuoay4FwOzob+jYJVyQbNaQOh788lD4=
github.com/twbs/bootstrap v5.2.3+incompatible/go.mod h1:fZTSrkpSf0/HkL0IIJzvVspTt1r9zuf7XlZau8kpcY0=
| 0 |
rapidsai_public_repos
|
rapidsai_public_repos/rapids.ai/hugo.yaml
|
baseURL: https://rapids.ai/
languageCode: en-us
title: RAPIDS | GPU Accelerated Data Science
enableRobotsTXT: true
services:
googleAnalytics:
ID: G-RKXFW6CM42
disableKinds: [taxonomy, term]
sitemap:
changefreq: monthly
filename: sitemap.xml
priority: 0.5
params:
title: RAPIDS | GPU Accelerated Data Science
description: Open source GPU accelerated data science libraries
images:
- /images/RAPIDS-logo-white.png
social:
twitter: rapidsai
module:
proxy: direct
hugoVersion:
extended: true
min: 0.73.0
imports:
- path: github.com/google/docsy
disable: false
- path: github.com/google/docsy/dependencies
disable: false
| 0 |
rapidsai_public_repos
|
rapidsai_public_repos/rapids.ai/go.mod
|
module github.com/rapidsai/rapids.ai
go 1.21.3
require (
github.com/google/docsy v0.7.1 // indirect
github.com/google/docsy/dependencies v0.7.1 // indirect
)
| 0 |
rapidsai_public_repos
|
rapidsai_public_repos/rapids.ai/netlify.toml
|
[build]
publish = "public"
command = "./build.sh"
[build.environment]
GO_VERSION = "1.21.3"
HUGO_VERSION = "0.119.0"
HUGO_ENV = "production"
HUGO_ENABLEGITINFO = "true"
# Build drafts on PR previews
[context.deploy-preview]
command = "./build.sh --buildDrafts"
# Setting HUGO_ENV != "production" prevents
# Google Analytics from being loaded on PR previews
[context.deploy-preview.environment]
HUGO_ENV = "staging"
| 0 |
rapidsai_public_repos
|
rapidsai_public_repos/rapids.ai/_redirects
|
/about /learn-more/#about
/about.html /learn-more/#about
/cloud https://docs.rapids.ai/deployment/stable/cloud/
/cloud.html https://docs.rapids.ai/deployment/stable/cloud/
/community /learn-more/#get-involved
/community.html /learn-more/#get-involved
/dask https://docs.dask.org/en/stable/gpu.html
/dask.html https://docs.dask.org/en/stable/gpu.html
/documentation /start
/documentation.html /start
/hpc https://docs.rapids.ai/deployment/stable/hpc.html
/hpc.html https://docs.rapids.ai/deployment/stable/hpc.html
/hpo https://docs.rapids.ai/deployment/stable/examples/index.html
/hpo.html https://docs.rapids.ai/deployment/stable/examples/index.html
/introgtc2023 https://github.com/shwina/rapids-tutorial-gtc-2023
/pip https://docs.rapids.ai/install#pip
/pip.html https://docs.rapids.ai/install#pip
/plotly https://docs.rapids.ai/visualization
/plotly.html https://docs.rapids.ai/visualization
/slack-invite https://join.slack.com/t/rapids-goai/shared_invite/zt-trnsul8g-Sblci8dk6dIoEeGpoFcFOQ
/smsl https://studiolab.sagemaker.aws/import/github/rapidsai-community/rapids-smsl/blob/main/rapids-smsl.ipynb?ncid=so-othe-849406-vt27#cid=av02_so-othe_en-us
/smsl.html https://studiolab.sagemaker.aws/import/github/rapidsai-community/rapids-smsl/blob/main/rapids-smsl.ipynb?ncid=so-othe-849406-vt27#cid=av02_so-othe_en-us
/start https://docs.rapids.ai/install
/start.html https://docs.rapids.ai/install
/wsl2 https://docs.rapids.ai/install#WSL2
/wsl2.html https://docs.rapids.ai/install#WSL2
/xgboost https://xgboost.readthedocs.io/en/stable/gpu/index.html
/xgboost.html https://xgboost.readthedocs.io/en/stable/gpu/index.html
| 0 |
rapidsai_public_repos
|
rapidsai_public_repos/rapids.ai/package-lock.json
|
{
"name": "rapids.ai",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"devDependencies": {
"autoprefixer": "^10.4.16",
"postcss": "^8.4.31",
"postcss-cli": "^10.1.0"
}
},
"node_modules/@nodelib/fs.scandir": {
"version": "2.1.5",
"resolved": "https://registry.npmjs.org/@nodelib/fs.scandir/-/fs.scandir-2.1.5.tgz",
"integrity": "sha512-vq24Bq3ym5HEQm2NKCr3yXDwjc7vTsEThRDnkp2DK9p1uqLR+DHurm/NOTo0KG7HYHU7eppKZj3MyqYuMBf62g==",
"dev": true,
"dependencies": {
"@nodelib/fs.stat": "2.0.5",
"run-parallel": "^1.1.9"
},
"engines": {
"node": ">= 8"
}
},
"node_modules/@nodelib/fs.stat": {
"version": "2.0.5",
"resolved": "https://registry.npmjs.org/@nodelib/fs.stat/-/fs.stat-2.0.5.tgz",
"integrity": "sha512-RkhPPp2zrqDAQA/2jNhnztcPAlv64XdhIp7a7454A5ovI7Bukxgt7MX7udwAu3zg1DcpPU0rz3VV1SeaqvY4+A==",
"dev": true,
"engines": {
"node": ">= 8"
}
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"node_modules/@nodelib/fs.walk": {
"version": "1.2.8",
"resolved": "https://registry.npmjs.org/@nodelib/fs.walk/-/fs.walk-1.2.8.tgz",
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"dev": true,
"dependencies": {
"@nodelib/fs.scandir": "2.1.5",
"fastq": "^1.6.0"
},
"engines": {
"node": ">= 8"
}
},
"node_modules/ansi-regex": {
"version": "5.0.1",
"resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-5.0.1.tgz",
"integrity": "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ==",
"dev": true,
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"dev": true,
"dependencies": {
"color-convert": "^2.0.1"
},
"engines": {
"node": ">=8"
},
"funding": {
"url": "https://github.com/chalk/ansi-styles?sponsor=1"
}
},
"node_modules/anymatch": {
"version": "3.1.3",
"resolved": "https://registry.npmjs.org/anymatch/-/anymatch-3.1.3.tgz",
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"dev": true,
"dependencies": {
"normalize-path": "^3.0.0",
"picomatch": "^2.0.4"
},
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}
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"node_modules/autoprefixer": {
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"dev": true,
"funding": [
{
"type": "opencollective",
"url": "https://opencollective.com/postcss/"
},
{
"type": "tidelift",
"url": "https://tidelift.com/funding/github/npm/autoprefixer"
},
{
"type": "github",
"url": "https://github.com/sponsors/ai"
}
],
"dependencies": {
"browserslist": "^4.21.10",
"caniuse-lite": "^1.0.30001538",
"fraction.js": "^4.3.6",
"normalize-range": "^0.1.2",
"picocolors": "^1.0.0",
"postcss-value-parser": "^4.2.0"
},
"bin": {
"autoprefixer": "bin/autoprefixer"
},
"engines": {
"node": "^10 || ^12 || >=14"
},
"peerDependencies": {
"postcss": "^8.1.0"
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"dev": true,
"dependencies": {
"fill-range": "^7.0.1"
},
"engines": {
"node": ">=8"
}
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"version": "4.22.1",
"resolved": "https://registry.npmjs.org/browserslist/-/browserslist-4.22.1.tgz",
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"dev": true,
"funding": [
{
"type": "opencollective",
"url": "https://opencollective.com/browserslist"
},
{
"type": "tidelift",
"url": "https://tidelift.com/funding/github/npm/browserslist"
},
{
"type": "github",
"url": "https://github.com/sponsors/ai"
}
],
"dependencies": {
"caniuse-lite": "^1.0.30001541",
"electron-to-chromium": "^1.4.535",
"node-releases": "^2.0.13",
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"dev": true,
"engines": {
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"dev": true,
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{
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"url": "https://github.com/sponsors/feross"
},
{
"type": "patreon",
"url": "https://www.patreon.com/feross"
},
{
"type": "consulting",
"url": "https://feross.org/support"
}
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"dependencies": {
"queue-microtask": "^1.2.2"
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"node_modules/slash": {
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"dev": true,
"engines": {
"node": ">=14.16"
},
"funding": {
"url": "https://github.com/sponsors/sindresorhus"
}
},
"node_modules/source-map-js": {
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"resolved": "https://registry.npmjs.org/source-map-js/-/source-map-js-1.0.2.tgz",
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"dev": true,
"engines": {
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}
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"version": "4.2.3",
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"dev": true,
"dependencies": {
"emoji-regex": "^8.0.0",
"is-fullwidth-code-point": "^3.0.0",
"strip-ansi": "^6.0.1"
},
"engines": {
"node": ">=8"
}
},
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"version": "6.0.1",
"resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz",
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"dev": true,
"dependencies": {
"ansi-regex": "^5.0.1"
},
"engines": {
"node": ">=8"
}
},
"node_modules/thenby": {
"version": "1.3.4",
"resolved": "https://registry.npmjs.org/thenby/-/thenby-1.3.4.tgz",
"integrity": "sha512-89Gi5raiWA3QZ4b2ePcEwswC3me9JIg+ToSgtE0JWeCynLnLxNr/f9G+xfo9K+Oj4AFdom8YNJjibIARTJmapQ==",
"dev": true
},
"node_modules/to-regex-range": {
"version": "5.0.1",
"resolved": "https://registry.npmjs.org/to-regex-range/-/to-regex-range-5.0.1.tgz",
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"dev": true,
"dependencies": {
"is-number": "^7.0.0"
},
"engines": {
"node": ">=8.0"
}
},
"node_modules/universalify": {
"version": "2.0.0",
"resolved": "https://registry.npmjs.org/universalify/-/universalify-2.0.0.tgz",
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"dev": true,
"engines": {
"node": ">= 10.0.0"
}
},
"node_modules/update-browserslist-db": {
"version": "1.0.13",
"resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.0.13.tgz",
"integrity": "sha512-xebP81SNcPuNpPP3uzeW1NYXxI3rxyJzF3pD6sH4jE7o/IX+WtSpwnVU+qIsDPyk0d3hmFQ7mjqc6AtV604hbg==",
"dev": true,
"funding": [
{
"type": "opencollective",
"url": "https://opencollective.com/browserslist"
},
{
"type": "tidelift",
"url": "https://tidelift.com/funding/github/npm/browserslist"
},
{
"type": "github",
"url": "https://github.com/sponsors/ai"
}
],
"dependencies": {
"escalade": "^3.1.1",
"picocolors": "^1.0.0"
},
"bin": {
"update-browserslist-db": "cli.js"
},
"peerDependencies": {
"browserslist": ">= 4.21.0"
}
},
"node_modules/wrap-ansi": {
"version": "7.0.0",
"resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-7.0.0.tgz",
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"dependencies": {
"ansi-styles": "^4.0.0",
"string-width": "^4.1.0",
"strip-ansi": "^6.0.0"
},
"engines": {
"node": ">=10"
},
"funding": {
"url": "https://github.com/chalk/wrap-ansi?sponsor=1"
}
},
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"version": "5.0.8",
"resolved": "https://registry.npmjs.org/y18n/-/y18n-5.0.8.tgz",
"integrity": "sha512-0pfFzegeDWJHJIAmTLRP2DwHjdF5s7jo9tuztdQxAhINCdvS+3nGINqPd00AphqJR/0LhANUS6/+7SCb98YOfA==",
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"string-width": "^4.2.3",
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"dev": true,
"engines": {
"node": ">=12"
}
}
}
}
| 0 |
rapidsai_public_repos/rapids.ai
|
rapidsai_public_repos/rapids.ai/archetypes/default.md
|
---
title: "{{ replace .Name "-" " " | title }}"
date: {{ .Date }}
draft: true
---
| 0 |
rapidsai_public_repos/rapids.ai
|
rapidsai_public_repos/rapids.ai/scripts/get_medium.py
|
import requests
import xmltodict
import yaml
from html.parser import HTMLParser
from pathlib import Path
class SummaryParser(HTMLParser):
"""
Parses HTML content and stores all of the text from paragraph elements in
"self.all_p_data".
"""
def __init__(self):
HTMLParser.__init__(self)
self.in_p_tag = False
self.current_p_data = ""
self.all_p_data = []
def handle_starttag(self, tag, attrs):
if tag == "p":
self.in_p_tag = True
def handle_endtag(self, tag):
if tag == "p":
self.in_p_tag = False
self.all_p_data.append(self.current_p_data)
self.current_p_data = ""
def handle_data(self, data):
if self.in_p_tag:
self.current_p_data += data
def is_author_element(p):
"""
Returns True if the given paragraph text contains author information.
"""
return ("Authors" in p) or ("By:" in p)
def get_summary(rssContent):
"""
Returns a 270 character summary of a Medium article given it's full content
as retrieved from their RSS feed.
"""
parser = SummaryParser()
parser.feed(rssContent)
article_content = " ".join(
[p for p in parser.all_p_data if not is_author_element(p)]
)
if article_content:
return article_content[:267] + "..."
return ""
def write_posts_to_file(posts):
"""
Writes the posts data to a YAML file that can be used by Hugo.
"""
script_path = Path(__file__)
script_name = script_path.name
current_dir = script_path.parent
output_file = current_dir.joinpath("..", "data", "posts", "medium.yaml")
header = "\n".join(
["#", f'# This file was automatically generated by "{script_name}"', "#"]
)
with open(output_file, "w") as file:
file.write("\n".join([header, yaml.dump(posts)]))
def main():
"""
Retrieves latests RAPIDS posts from Medium's RSS feed and writes the content
to a YAML file that can be used by Hugo.
"""
response = requests.get("https://medium.com/feed/rapids-ai")
xml = xmltodict.parse(response.content)
posts = []
for x in xml["rss"]["channel"]["item"]:
post = {}
post["title"] = x["title"]
post["link"] = x["link"].split("?")[0]
post["poster"] = x["dc:creator"]
post["date"] = x["pubDate"]
post["text"] = get_summary(x["content:encoded"])
posts.append(post)
write_posts_to_file(posts)
if __name__ == "__main__":
main()
| 0 |
rapidsai_public_repos/rapids.ai
|
rapidsai_public_repos/rapids.ai/scripts/devcontainer-init.sh
|
#!/bin/bash
set -euo pipefail
# Install Hugo version from `netlify.toml` file
mkdir -p ~/.local/bin
HUGO_VERSION=$(yq -oy '.build.environment.HUGO_VERSION' netlify.toml)
wget "https://github.com/gohugoio/hugo/releases/download/v${HUGO_VERSION}/hugo_extended_${HUGO_VERSION}_linux-amd64.tar.gz" -O - | \
tar -xzvf - -C ~/.local/bin hugo
# Install Hugo/Go Modules
hugo mod get
# Install NodeJS version from `.nvmrc` file
. "${NVM_DIR}/nvm.sh" --install
rm -rf node_modules
npm install
| 0 |
rapidsai_public_repos/rapids.ai
|
rapidsai_public_repos/rapids.ai/scripts/requirements.txt
|
PyYAML>=6.0,<7
requests>=2.28.2,<3
xmltodict>=0.13.0,<0.14
| 0 |
rapidsai_public_repos/rapids.ai
|
rapidsai_public_repos/rapids.ai/.devcontainer/devcontainer.json
|
{
"name": "rapids-site",
"image": "mcr.microsoft.com/devcontainers/base:ubuntu",
"forwardPorts": [1313],
"features": {
"ghcr.io/devcontainers/features/go:1": {},
"ghcr.io/devcontainers/features/node:1": {
"version": "none",
"nodeGypDependencies": false
},
"ghcr.io/eitsupi/devcontainer-features/jq-likes:2": {
"jqVersion": "latest",
"yqVersion": "latest"
}
},
"postCreateCommand": "./scripts/devcontainer-init.sh"
}
| 0 |
rapidsai_public_repos/rapids.ai/assets
|
rapidsai_public_repos/rapids.ai/assets/scss/_main-container.scss
|
/*
This file is copied from the link below in order to comment out Docsy's default
section padding.
https://github.com/google/docsy/blob/v0.7.1/assets/scss/_main-container.scss
*/
// The outer page container i.e. common styles for any page.
.td-outer {
display: flex;
flex-direction: column;
min-height: 100vh;
}
// The outer page container for the default base template.
// .td-default {
// main {
// > section:first-of-type {
// @include media-breakpoint-up(md) {
// padding-top: 8rem;
// }
// }
// section {
// @extend .td-block-padding;
// }
// }
// }
.td-main {
flex-grow: 1;
}
// .td-404 main,
// .td-main main {
// padding-top: 1.5rem;
// padding-bottom: 2rem;
// @include media-breakpoint-up(md) {
// padding-top: 5.5rem;
// }
// }
| 0 |
rapidsai_public_repos/rapids.ai/assets
|
rapidsai_public_repos/rapids.ai/assets/scss/README.md
|
# scss
This directory contains SCSS files for the RAPIDS website.
## Special Files
There are two special files in this directory, listed below and described in the Docsy documentation [here](https://www.docsy.dev/docs/adding-content/lookandfeel/):
- `_variables_project.scss` - used for setting SCSS variables _before_ Bootstrap (which is used by Docsy) generates all of its classes. This is useful for modifying Bootstrap's generated classes according to their utility API docs [here](https://getbootstrap.com/docs/5.2/utilities/api/) or setting other customization variables as described [here](https://getbootstrap.com/docs/5.2/customize/overview/)
- `_styles_project.scss` - used for adding additional SCSS styles to the final generated stylesheet. These styles can use the generated Bootstrap styles based on the contents of `_variables_project.scss`
## Other Files
RAPIDS-specific styles should go in the `rapidsai/` subdirectory. These files can then be imported into the `_styles_project.scss` file.
Aside from the special files listed above, the root `assets/scss` directory is reserved for overriding SCSS files from the Docsy theme. In some cases, it may be necessary to override Docsy's default `.scss` files that are located [here](https://github.com/google/docsy/tree/v0.7.1/assets/scss). In these instances, the Docsy files can be copied directly into the `assets/scss` directory and modified as needed. This should be used as a last resort though, only after adding additional styles to the `rapidsai/` directory has been deemed insufficient.
## Conventions
Below is a list of conventions for authoring styles for the site. In the future, we can explore adding [StyleLint](https://stylelint.io/) to our devcontainer to help enforce rules.
- Avoid writing styles. Instead, leverage Bootstrap's utility classes whenever possible. Utility classes are configurable via their [utility API](https://getbootstrap.com/docs/5.2/utilities/api/). Reusable components can be created with Hugo by leveraging its shortcode functionality to avoid needing to repeat utility classes across multiple instances of the same component
- When it is necessary to create custom styles, use the following conventions:
- Place the related styles in their own `.scss` file in the `rapidsai/*` directory. Import the newly created file in `rapidsai/_index.scss`
- Use the [BEM](https://getbem.com/) naming convention to avoid naming collisions and promote consistent naming conventions
- Avoid deep nesting with SCSS. Aim for no more than 1 level of nesting
- Reserve nesting for pseudo-classes, psuedo-elements, and media query mixins
- Use Bootstrap's built-in `media-breakpoint-up` ([docs](https://getbootstrap.com/docs/5.2/layout/breakpoints/#min-width)) mixin to generate consistent `min-width` media queries for a [mobile-first](https://zellwk.com/blog/how-to-write-mobile-first-css/) design approach
| 0 |
rapidsai_public_repos/rapids.ai/assets
|
rapidsai_public_repos/rapids.ai/assets/scss/_variables_project.scss
|
/*
This file works by:
- Importing Docsy Bootstrap forward variables
- Settings RAPIDS-specific Bootstrap variables
- Importing Docsy Bootstrap main variables
- Importing the necessary Bootstrap files to use their Utility API
- Utility API: https://getbootstrap.com/docs/5.2/utilities/api/
*/
@import "_variables_forward";
// Configure font sizes according to Bulma
$h1-font-size: $font-size-base * 3;
$h2-font-size: $font-size-base * 2.5;
$h3-font-size: $font-size-base * 2;
$h4-font-size: $font-size-base * 1.5;
$h5-font-size: $font-size-base * 1.25;
$h6-font-size: $font-size-base;
$h7-font-size: $font-size-base * 0.9;
$h8-font-size: $font-size-base * 0.75;
$font-sizes: (
1: $h1-font-size,
2: $h2-font-size,
3: $h3-font-size,
4: $h4-font-size,
5: $h5-font-size,
6: $h6-font-size,
7: $h7-font-size,
8: $h8-font-size,
);
// Configure spacers according to Bulma
$spacers: (
0: 0,
1: $spacer * 0.25,
2: $spacer * 0.5,
3: $spacer * 0.75,
4: $spacer,
5: $spacer * 1.5,
6: $spacer * 2.5,
7: $spacer * 3,
8: $spacer * 3.5,
9: $spacer * 4.5,
);
// Configure breakpoints according to Bulma
$grid-breakpoints: (
sm: 0,
md: 769px,
lg: 1024px,
xl: 1216px,
xxl: 1408px
);
// Disable responsive font sizing:
// https://getbootstrap.com/docs/5.2/getting-started/rfs/
$enable-rfs: false;
// Disable Docsy Google Fonts since we load them ourself
$td-enable-google-fonts: false;
// Import Docsy variables
@import "variables";
// Import necessary bootstrap files to use utility API
@import "../vendor/bootstrap/scss/functions";
@import "../vendor/bootstrap/scss/variables";
@import "../vendor/bootstrap/scss/maps";
@import "../vendor/bootstrap/scss/mixins";
@import "../vendor/bootstrap/scss/utilities";
// Configure container widths according to Bulma
$container-max-widths: (
md: 100%,
lg: 960px + ($grid-gutter-width / 1rem * 16px),
xl: 1152px + ($grid-gutter-width / 1rem * 16px),
xxl: 1344px + ($grid-gutter-width / 1rem * 16px),
);
$additional-line-heights: (
xs: 1.15
);
$merged-line-heights: (
"line-height": map-merge(map-get($utilities, "line-height"),
(values: map-merge(map-get(map-get($utilities, "line-height"), "values"),
$additional-line-heights,
),
),
),
);
$merged-maps: map-merge-multiple($merged-line-heights);
$utilities: map-merge($utilities, $merged-maps);
| 0 |
rapidsai_public_repos/rapids.ai/assets
|
rapidsai_public_repos/rapids.ai/assets/scss/_styles_project.scss
|
@import "rapidsai/index";
@import "rapidsai/navigation";
| 0 |
rapidsai_public_repos/rapids.ai/assets/scss
|
rapidsai_public_repos/rapids.ai/assets/scss/rapidsai/_navigation.scss
|
.navigation {
box-shadow: 0px 3px 2px rgba(0, 0, 0, 0.2);
position: fixed;
top: 0;
left: 0;
right: 0;
z-index: $zindex-fixed;
@extend .has-background-rapids-purple-primary;
@include media-breakpoint-up(lg) {
display: flex;
}
}
.navigation__brand {
min-height: 3.25rem;
display: flex;
align-items: center;
width: 100%;
justify-content: space-between;
@include media-breakpoint-up(lg) {
width: auto;
}
}
.navigation__logo {
max-height: 2.5rem;
}
.navigation__item,
.navigation__link {
padding: 0.5rem 0;
line-height: 1.5;
@include media-breakpoint-up(lg) {
padding: 0.5rem 0.75rem;
}
}
.navigation__item {
color: white;
position: relative;
@include media-breakpoint-up(lg) {
display: flex;
align-items: stretch;
}
}
.navigation__item:last-child {
margin-bottom: 0.5rem;
@include media-breakpoint-up(lg) {
margin-bottom: 0;
}
}
.navigation__link {
color: white;
display: flex;
align-items: center;
position: relative;
border-bottom: 1px solid white;
transition: color 0.2s ease-out;
&:hover {
color: #b49fd6;
}
@include media-breakpoint-up(lg) {
border-bottom: none;
}
}
.navigation__item--dropdown {
padding: 0;
}
.navigation__item--dropdown .navigation__link {
padding-right: 2.5em;
}
.navigation__item--dropdown .navigation__link::after {
border: 3px solid white;
border-radius: 2px;
border-right: 0;
border-top: 0;
content: " ";
display: block;
height: 0.625em;
pointer-events: none;
position: absolute;
top: 50%;
transform: rotate(-45deg);
transform-origin: center;
width: 0.625em;
margin-top: -0.375em;
right: 1.125em;
}
.navigation__burger {
line-height: 1;
margin: 1rem;
padding: 0;
color: white;
font-size: $h4-font-size;
border: none;
text-decoration: none;
box-shadow: none;
&:hover,
&:active {
color: white;
}
&::before {
font-family: 'Font Awesome 6 Free';
content: "\f0c9";
font-weight: 900;
display: inline-block;
font-style: normal;
font-variant: normal;
text-rendering: auto;
-webkit-font-smoothing: antialiased;
}
@include media-breakpoint-up(lg) {
display: none;
}
}
.navigation__menu {
align-items: stretch;
transition: all 0.35s ease; // 0.35s ease matches other Docsy menu transitions
height: 0;
overflow: hidden;
@include media-breakpoint-up(lg) {
display: flex;
height: auto !important;
overflow: visible;
}
}
.navigation__dropdown {
font-size: 0.875rem;
padding: 0.5rem 1.5rem;
@include media-breakpoint-up(lg) {
display: none;
padding: 0.5rem 0;
}
}
.navigation__item:hover .navigation__dropdown {
@include media-breakpoint-up(lg) {
display: block;
position: absolute;
top: 100%;
background-color: rgb(139, 47, 255);
box-shadow: 0 4px 4px rgba(10, 10, 10, 0.2);
border-radius: 0 0 6px 6px;
}
}
.navigation__dropdown .navigation__item {
display: block;
@include media-breakpoint-up(lg) {
padding-top: 0.375rem;
padding-bottom: 0.375rem;
padding-right: 3rem;
padding-left: 1rem;
text-wrap: nowrap;
}
}
.navigation__dropdown .navigation__item:hover {
@include media-breakpoint-up(lg) {
color: #b49fd6;
}
}
| 0 |
rapidsai_public_repos/rapids.ai/assets/scss
|
rapidsai_public_repos/rapids.ai/assets/scss/rapidsai/_index.scss
|
/* ============================
Custom CSS for rapids.ai
=========================== */
/* /// general /// */
body {
font-display: fallback;
font-family: 'Open Sans', sans-serif;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
background-color: #fff;
color: #212121;
line-height: 1.6;
}
// TODO: remove this block.
// These styles were a part of our previously used `normalize.css` file. That
// file has been removed, but I copied these styles over in particular to avoid
// having to make additional changes to the site. In the future, we should
// remove this block and fix the styles on our landing pages accordingly. The
// presence of these styles makes our documentation pages look bad.
blockquote,
body,
dd,
dl,
dt,
fieldset,
figure,
h1,
h2,
h3,
h4,
h5,
h6,
hr,
html,
iframe,
legend,
li,
ol,
p,
pre,
textarea,
ul {
margin: 0;
padding: 0;
}
img {
max-width: 100%;
}
a {
color: #37c9dd;
cursor: pointer;
font-weight: 700;
transition: all 0.4s ease-out;
}
a:hover {
color: #409da9;
transition: all 0.4s ease-out;
}
.title:not(:last-child) {
margin-bottom: 0.5rem;
}
h1,
h2,
h3 {
color: #7306ff;
font-weight: 300;
letter-spacing: normal;
font-family: sans-serif;
text-transform: uppercase;
margin-bottom: 0;
}
h1 {
font-size: 2.5rem;
line-height: 2.5rem;
}
h2 {
font-size: 1.7rem;
line-height: 2rem;
}
h3 {
font-weight: bold;
}
h3, h4, h5, h6 {
font-size: map-get($font-sizes, 6);
line-height: 1.6;
}
.subheading {
font-size: 1.3rem;
}
strong {
color: inherit;
}
pre {
position: relative;
background-color: #efefef;
padding: 1em;
border-top: 2px solid #dedede;
word-break: break-word;
white-space: pre-wrap;
margin-right: 1rem;
overflow: visible;
box-shadow: 0px 3px 2px rgba(0, 0, 0, 0.2);
color: #4a4a4a
}
code {
color: #151515;
background-color: #efefef;
}
.code-sample {
display: block;
background-color: #efefef;
padding: 1em 2em;
border-top: 2px solid #7400ff;
word-break: break-word;
overflow: visible;
box-shadow: 0px 3px 2px rgba(0, 0, 0, 0.2);
color: #4a4a4a
}
a button {
text-shadow: 0 1px 1px rgba(0, 0, 0, 0.3);
transition: all 0.4s ease-out;
}
a button:hover {
text-shadow: none;
transition: all 0.4s ease-out;
}
/* /// button style /// */
button {
background-color: transparent;
cursor: pointer;
justify-content: center;
padding-bottom: calc(0.5em - 1px);
padding-left: 1em;
padding-right: 1em;
padding-top: calc(0.5em - 1px);
text-align: center;
white-space: nowrap;
border-style: solid;
border-color: #dbdbdb;
color: white;
border-width: 3px;
border-radius: 0.5rem;
border-top-right-radius: 0;
font-weight: 600;
font-family: 'Open Sans';
text-transform: uppercase;
transition: all 0.55s ease-out;
line-height: 1.15;
/* spent too much time on this */
text-shadow: 0 1px 1px rgba(0, 0, 0, 0.3);
box-shadow:
0 1px 2px rgba(0, 0, 0, 0.1),
0 2px 2px rgba(0, 0, 0, 0.1),
0 4px 2px rgba(0, 0, 0, 0.1),
0 2px 2px rgba(0, 0, 0, 0.2) inset;
}
button:hover {
text-shadow: none;
box-shadow: none;
transition: all 0.35s ease-out;
}
.button-rapids-white {
color: white;
border-color: white;
}
.button-rapids-purple {
color: #7400ff;
border-color: #7400ff;
}
.button-rapids-teal {
color: #1ebdd2;
border-color: #1ebdd2;
}
.section {
padding: map-get($spacers, 7) 0;
}
/* Note: copy-button class applied by js */
.copy-button {
position: absolute;
top: -2rem;
right: 0;
border-radius: 0;
border-top-left-radius: 0.5rem;
border-top-right-radius: 0.5rem;
border-width: 2px;
border-bottom-width: 0;
color: #720dff;
border-color: #720dff;
box-shadow: 0px 3px 2px rgba(0,0,0, 0.3) inset;
}
/* Note: copy-button-white class applied by js if 'use-white-copy' class present */
.copy-button-white {
position: absolute;
top: -2rem;
right: 0;
border-radius: 0;
border-top-left-radius: 0.5rem;
border-top-right-radius: 0.5rem;
border-width: 2px;
border-bottom-width: 0;
color: white;
border-color: white;
box-shadow: 0px 3px 2px rgba(0, 0, 0, 0.3) inset;
line-height: map-get($additional-line-heights, "xs");
}
/* /// footer /// */
.footer {
padding-top: 1rem;
padding-bottom: 5rem;
}
.footer-logo {
margin: 0 auto;
width: 150px;
}
.footer-item {
color: rgba(255, 255, 255, 0.85);
padding-left: 0.1rem;
padding-right: 0.1rem;
}
/* /// hero /// */
.hero-rapids-bg {
background: url(../images/header-bg.svg) top center no-repeat;
background-size: cover;
min-height: 300px;
}
.hero-img {
width: 225px;
margin: 0 auto;
}
.hero-body {
padding: 7rem 1.5rem;
@include media-breakpoint-up(md) {
padding: 9rem 4.5rem;
}
}
.hero-announce-container {
display: flex;
justify-content: center;
flex-wrap: wrap;
}
.hero-announce {
position: relative;
font-size: 0.85rem;
padding-left: 0.5rem;
padding-right: 0.5rem;
margin-top: 1rem;
}
.announce-icon {
position: absolute !important; // override .fa-stack position
font-size: 0.75rem;
top: -0.75rem;
left: -0.3rem;
color: #7400ff;
}
/* /// slant graphics /// */
/* https://css-tricks.com/using-box-shadows-and-clip-path-together/ */
.top-slant-container {
filter: drop-shadow(0px -3px 2px rgba(0, 0, 0, 0.2));
margin: 0 calc(-#{$grid-gutter-width} / 2);
}
.top-slant-up {
height: 4.1rem;
margin-top: -4rem;
margin-bottom: -0.1rem;
clip-path: polygon(0 100%, 0 80%, 100% 0, 100% 100%);
}
.top-slant-down {
height: 4.1rem;
margin-top: -4rem;
margin-bottom: -0.1rem;
clip-path: polygon(0 100%, 100% 100%, 100% 80%, 0 0);
}
.bottom-slant-container {
filter: drop-shadow(0px 3px 2px rgba(0, 0, 0, 0.2));
margin: 0 calc(-#{$grid-gutter-width} / 2);
}
.bottom-slant-up {
height: 4.1rem;
margin-bottom: -4rem;
margin-top: -0.1rem;
clip-path: polygon(0 0, 100% 0, 100% 20%, 0% 100%);
}
.bottom-slant-down {
height: 4.1rem;
margin-bottom: -4rem;
margin-top: -0.1rem;
clip-path: polygon(0 0, 0 20%, 100% 100%, 100% 0);
}
.padding-bottom-slant {
padding-bottom: 10.5rem;
}
.padding-top-slant {
padding-top: 10.5rem;
}
/* /// misc /// */
.tags-container {
width: 100%;
margin-top: -0.2rem;
margin-bottom: 0.5rem;
display: flex;
justify-content: right;
}
.tags-item {
font-size: 0.7rem;
font-weight: 600;
border-width: 0.13rem;
border-bottom-right-radius: 0.5rem;
border-bottom-left-radius: 0.5rem;
border-left-style: solid;
border-right-style: solid;
border-bottom-style: solid;
text-align: center;
padding-top: 0.15rem;
padding-bottom: 0.15rem;
padding-left: 0.45rem;
padding-right: 0.45rem;
margin-left: 0.4rem;
margin-top: -0.1rem;
}
/* /// border colors /// */
// TODO: generate utility classes for custom colors
// so that "!important" can be removed.
.has-border-rapids-purple-primary {
border-color:#720dff!important;
}
.has-border-rapids-pink {
border-color: #d216d2;
}
.has-border-rapids-orange {
border-color: #ffb500;
}
.has-border-rapids-teal {
border-color: #36c9dd;
}
.border-white {
border-color: rgb(228, 228, 228)!important;
}
/* /// posts /// */
.post-text {
color: #666666;
font-weight: 400;
line-height: 1.4rem;
overflow: hidden;
text-overflow: ellipsis;
}
.post-action {
color: #7306ff;
font-size: 1.2rem;
margin-top: 0.5rem;
font-variant: all-small-caps;
}
/* /// images /// */
.img-center {
margin: 0 auto;
}
.img-full {
width: 100%;
}
.img-half {
width: 50%;
}
.img-third {
width: 33%;
}
.img-quarter {
width: 25%;
}
.img-w100 {
width: 100px;
}
.img-w150 {
width: 150px;
}
.img-w200 {
width: 200px;
}
.img-w250 {
width: 250px;
}
.img-w400 {
width: 400px;
}
/* /// colors /// */
.has-background-rapids-image {
background: url(../images/header-bg.svg) no-repeat;
background-size: cover;
border-radius: 0.5rem;
border-top-right-radius: 0;
}
.has-background-rapids-gray {
background-color: #f8f8f8;
}
.has-background-rapids-purple-primary {
background-color: #7400ff;
}
.has-background-rapids-purple-secondary1 {
background-color: #8735fb;
}
.has-background-rapids-purple-secondary2 {
background-color: #984dfb;
}
.has-background-rapids-pink {
background-color: #d216d2;
}
.has-background-rapids-orange {
background-color: #ffb500;
}
.has-background-rapids-teal {
background-color: #36c9dd;
}
.has-text-rapids-purple-primary {
color: #7400ff;
}
.has-text-rapids-purple-secondary1 {
color: #8735fb;
}
.has-text-rapids-purple-secondary2 {
color: #984dfb;
}
.has-text-rapids-pink {
color: #d216d2;
}
.has-text-rapids-orange {
color: #ffb500;
}
.has-text-rapids-teal {
color: #36c9dd;
}
/* /// misc additions /// */
.fs-7 {
font-size: 0.7rem;
}
.mt-10 {
margin-top: 5rem;
}
.mb-10 {
margin-bottom: 5rem;
}
.pt-10 {
padding-top: 5rem;
}
.pb-10 {
padding-bottom: 5rem;
}
| 0 |
rapidsai_public_repos/rapids.ai/data
|
rapidsai_public_repos/rapids.ai/data/posts/medium.yaml
|
#
# This file was automatically generated by "get_medium.py"
#
- date: Tue, 24 Oct 2023 23:20:14 GMT
link: https://medium.com/rapids-ai/intro-to-graph-analysis-using-cugraph-similarity-algorithms-64fa923791ac
poster: Don Acosta
text: This is the second chapter in our blog series on GPU-accelerated graph analysis
using RAPIDS cuGraph. In the first chapter, we introduced the basics of graphs
and analyzed them using a few of the many algorithms in cuGraph. That blog answered
some practical questions...
title: 'Intro to Graph Analysis using cuGraph: Similarity Algorithms'
- date: Tue, 12 Sep 2023 15:30:51 GMT
link: https://medium.com/rapids-ai/introduction-to-graph-neural-networks-with-cugraph-dgl-64c632e9cc52
poster: Alex Ravenel
text: "Graph neural networks (GNNs) have emerged as a powerful\
\ tool for a variety of machine learning tasks on graph-structured data. These\
\ tasks range from node classification and link prediction to graph classification.\
\ They also cover a wide range of a..."
title: Intro to Graph Neural Networks with cuGraph-DGL
- date: Wed, 23 Aug 2023 19:44:20 GMT
link: https://medium.com/rapids-ai/rapids-23-08-release-23db51c255f0
poster: Alex Ravenel
text: The RAPIDS 23.08 release was a big one, with new features to support large-scale
text processing and LLMs in both cuDF and RAFT, major new functionality to cuXfilter
and cuSpatial (and the new cuProj library for coordinate transforms), impressive
performance numbers ...
title: RAPIDS 23.08 Release
- date: Tue, 11 Jul 2023 18:22:11 GMT
link: https://medium.com/rapids-ai/introduction-to-graph-analysis-using-cugraph-a9dc2fbc3c5e
poster: Don Acosta
text: When analyzing data, sometimes the relationships between the data elements
are important along with the scope of the question being asked. In those cases,
it is better to represent the data as a graph and apply graph analytics. An example
coming out of the COVID pand...
title: Introduction to Graph Analysis using cuGraph
- date: Wed, 21 Jun 2023 15:53:26 GMT
link: https://medium.com/rapids-ai/rapids-23-06-release-accelerating-data-science-6b09018c0527
poster: Alex Ravenel
text: "RAPIDS\u2019 23.06 release is now available! This release adds a number of\
\ features and improvements we are excited about, including: Get started with\
\ the quick start installation instructions for conda, pip, or docker or read\
\ on to see more details on this months\u2019 upgrad..."
title: "RAPIDS 23.06 Release\u200A\u2014\u200AAccelerating Data Science"
- date: Tue, 23 May 2023 15:02:01 GMT
link: https://medium.com/rapids-ai/cuspatial-23-04-7d8014570d8d
poster: Alex Ravenel
text: cuSpatial continues barreling towards complete spatial relationship predicate
(DE-9IM) support and Cartesian distance between any two geometries. In support
of these goals cuSpatial 23.04 includes multiple new features, as well as a new
notebook that shows off the ca...
title: cuSpatial 23.04
- date: Thu, 11 May 2023 16:01:54 GMT
link: https://medium.com/rapids-ai/intro-to-graph-neural-networks-with-cugraph-pyg-6fe32c93a2d0
poster: Alex Barghi
text: Introduction Graph Neural Networks (GNNs) are one of the fastest-growing tools
in machine learning. GNNs combine a rich array of feature data (similar to the
input of a traditional neural network) with network structure (represented as
a graph). Depending on the work...
title: Intro to Graph Neural Networks with cuGraph-PyG
- date: Tue, 09 May 2023 18:37:21 GMT
link: https://medium.com/rapids-ai/rapids-release-23-04-ed03055d378f
poster: Alex Ravenel
text: RAPIDS 23.04 is out! We are excited about this release, which includes major
updates to cuSpatial, continued improvements to graph neural network functionality
in our graph libraries, some performance improvements (and benchmarking!) in cuDF,
and a number of improvem...
title: RAPIDS Release 23.04
- date: Thu, 09 Mar 2023 22:40:44 GMT
link: https://medium.com/rapids-ai/rapids-release-23-02-1518cfaed17f
poster: Paul Mahler
text: "First Release of the\_Year RAPIDS Release 23.02 is live. We are most excited\
\ to highlight several quality-of-life improvements. We have a new web presence\
\ for RAPIDS; we believe this will make learning, using, and adding to RAPIDS\
\ easier and more enjoyable than ever b..."
title: RAPIDS Release 23.02
- date: Wed, 22 Feb 2023 16:40:19 GMT
link: https://medium.com/rapids-ai/faster-resampling-with-imbalanced-learn-and-cuml-6cfc1dae63bf
poster: Nick Becker
text: "Imbalanced-learn is the most popular open source library for resampling datasets\
\ with class imbalance. With more than 3 million downloads in the past month alone,\
\ it\u2019s a critical piece of the data analysis and machine learning ecosystem.\
\ RAPIDS cuML is a suite of fas..."
title: Faster Resampling with Imbalanced-learn and cuML
| 0 |
rapidsai_public_repos/rapids.ai
|
rapidsai_public_repos/rapids.ai/static/manifest.json
|
{
"name": "RAPIDS GPU accelerated data science",
"short_name": "RAPIDS",
"theme_color": "#fff",
"background_color": "#fff",
"display": "browser",
"orientation": "portrait",
"scope": "/",
"start_url": "/https://rapids.ai/",
"icons": [
{
"src": "images/icons/icon-72x72.png",
"sizes": "72x72",
"type": "image/png"
},
{
"src": "images/icons/icon-96x96.png",
"sizes": "96x96",
"type": "image/png"
},
{
"src": "images/icons/icon-128x128.png",
"sizes": "128x128",
"type": "image/png"
},
{
"src": "images/icons/icon-144x144.png",
"sizes": "144x144",
"type": "image/png"
},
{
"src": "images/icons/icon-152x152.png",
"sizes": "152x152",
"type": "image/png"
},
{
"src": "images/icons/icon-192x192.png",
"sizes": "192x192",
"type": "image/png"
},
{
"src": "images/icons/icon-384x384.png",
"sizes": "384x384",
"type": "image/png"
},
{
"src": "images/icons/icon-512x512.png",
"sizes": "512x512",
"type": "image/png"
}
]
}
| 0 |
rapidsai_public_repos/rapids.ai
|
rapidsai_public_repos/rapids.ai/static/site.webmanifest
|
{
"short_name": "RAPIDS",
"name": "RAPIDS",
"icons": [{
"src": "icon.png",
"type": "image/png",
"sizes": "512x512"
}],
"start_url": "/?utm_source=homescreen",
"background_color": "#fafafa",
"theme_color": "#fafafa"
}
| 0 |
rapidsai_public_repos/rapids.ai/static
|
rapidsai_public_repos/rapids.ai/static/css/normalize.css
|
/*! normalize.css v8.0.1 | MIT License | github.com/necolas/normalize.css */
/* Document
========================================================================== */
/**
* 1. Correct the line height in all browsers.
* 2. Prevent adjustments of font size after orientation changes in iOS.
*/
html {
line-height: 1.15; /* 1 */
-webkit-text-size-adjust: 100%; /* 2 */
}
/* Sections
========================================================================== */
/**
* Remove the margin in all browsers.
*/
body {
margin: 0;
}
/**
* Render the `main` element consistently in IE.
*/
main {
display: block;
}
/**
* Correct the font size and margin on `h1` elements within `section` and
* `article` contexts in Chrome, Firefox, and Safari.
*/
h1 {
font-size: 2em;
margin: 0.67em 0;
}
/* Grouping content
========================================================================== */
/**
* 1. Add the correct box sizing in Firefox.
* 2. Show the overflow in Edge and IE.
*/
hr {
box-sizing: content-box; /* 1 */
height: 0; /* 1 */
overflow: visible; /* 2 */
}
/**
* 1. Correct the inheritance and scaling of font size in all browsers.
* 2. Correct the odd `em` font sizing in all browsers.
*/
pre {
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c18.1,0,31.7-3,40.9-9.1c9.2-6.1,13.8-14.4,13.8-25c0-7-2.3-12.8-7-17.4c-4.7-4.6-11.7-8.7-21.1-12.2c-9.4-3.5-23.4-7.7-42-12.6
c-30.5-7.2-52.8-16.8-67-28.7c-14.2-11.9-21.3-28.9-21.3-51.2c0-15,4.1-28.4,12.4-40.1c8.3-11.8,20.1-21,35.5-27.7
c15.4-6.7,33.3-10.1,53.7-10.1c21.4,0,40,3.7,55.6,11.2c15.6,7.5,27.5,16.9,35.7,28.1c8.1,11.2,12.5,22.4,13,33.5
c0,2.1-0.8,3.9-2.3,5.6c-1.6,1.7-3.5,2.5-5.8,2.5h-36.8c-5.7,0-9.6-2.3-11.6-7c-1.3-8.3-6.3-15.2-15.1-20.7
c-8.8-5.5-19.6-8.3-32.6-8.3c-14.2,0-25.4,2.7-33.5,8.1c-8.1,5.4-12.2,13.3-12.2,23.6c0,7,2.1,12.8,6.2,17.4
c4.1,4.6,10.6,8.7,19.4,12.2c8.8,3.5,21.6,7.4,38.4,11.8c23,5.2,41.3,11,54.8,17.4c13.6,6.5,23.6,14.6,30,24.4
c6.5,9.8,9.7,22.3,9.7,37.6c0,16.8-4.6,31.3-13.8,43.6c-9.2,12.3-22.1,21.6-38.7,28.1c-16.7,6.5-36,9.7-57.9,9.7
C1505.5,487.8,1485.7,484.3,1469.1,477.4"/>
<path class="st1" d="M1067.1,474.7c0,0.4,0.1,0.8,0.1,28.8l55.7-55.7V256.3l-55.7-55.7c0,20.7-0.1,21-0.1,21.4V474.7z"/>
<path class="st1" d="M1386.6,318.1c-1.6-70.3-40.4-105.4-116.6-105.4h-94.6c-2.8,0-5.1,0.9-6.8,2.7c-1.7,1.8-2.5,4.1-2.5,7v75.8
l54.6,53.9v-94.4h47.3c21.7,0,37.6,5,47.7,14.9c10.1,9.9,15.4,25.5,15.9,46.7c0.5,15,0.8,24.5,0.8,28.7c0,3.9-0.3,13.6-0.8,29.1
c-0.5,22.2-5.6,38.1-15.1,47.7c-9.6,9.6-25.1,14.3-46.5,14.3h-49.2v-87l-54.6,53.9v68.8c0,2.6,0.9,4.8,2.7,6.6
c1.8,1.8,4,2.7,6.6,2.7h96.5c38.5,0,67-8.6,85.4-25.8c18.5-17.2,28.2-43.8,29.3-80c0.5-15,0.8-24.9,0.8-29.8
C1387.4,343.2,1387.1,333.1,1386.6,318.1"/>
</g>
</svg>
| 0 |
rapidsai_public_repos/rapids.ai/static
|
rapidsai_public_repos/rapids.ai/static/js/main.js
|
// console.log("NVIDIA GPUs FTW")
| 0 |
rapidsai_public_repos/rapids.ai
|
rapidsai_public_repos/rapids.ai/layouts/index.html
|
{{- define "main" -}}
<!-- Using Index layout -->
{{ .Content }}
{{ end }}
| 0 |
rapidsai_public_repos/rapids.ai
|
rapidsai_public_repos/rapids.ai/layouts/404.html
|
{{ define "main"}}
<!-- Hero NOTE: match with hero shortcode -->
<section class="row hero-rapids-bg mb-5">
<div class="col">
<div class="hero-body text-center">
<img class="hero-img" src="/images/rapids-logo-whitetxt.svg">
<p class="fw-semibold fs-3 lh-xs text-white mb-2">
Page Not Found
</p>
<button class="button-rapids-teal"><a href="https://www.rapids.ai">Head Back</a></button>
</div>
<div class="top-slant-container">
<div class="top-slant-up bg-white"></div>
</div>
</div>
</section>
<!-- Double Col -->
<section class="row section">
<div class="col">
<div class="container">
<h1>Page Not Found...</h1>
<div class="row">
<div class="col-md-6 py-3">
<p><strong>Looks like that link, page, or file does not exist. <br> Check the URL again and see if it is correct.</strong> <br>
If something is broken, please let us know by <a href="https://github.com/rapidsai/rapids.ai/issues">filing a GitHub issue <i class="fa-solid fa-arrow-up-right"></i> </a>
</p>
<h2 class="mt-5"><i class="fa-regular fa-joystick"></i> Jump Back In</h2>
<p>
Even if we do say so ourselves, we have some great <a href="https://docs.rapids.ai/">documentation <i class="fa-solid fa-arrow-up-right"></i></a>
</p>
<p>
Reach out to us on <a href="https://twitter.com/rapidsai"> X/Twitter <i class="fa-solid fa-arrow-up-right"></i> </a>
</p>
<p>
Or just go back <a href="/">home <i class="fa-solid fa-arrow-up-right"></i></a>
</p>
</div>
<div class="col-md-6 py-3">
<img class="image img-half img-center" src="/images/RAPIDS404.gif" alt="404gif" />
</div>
</div>
</div>
</div>
</section>
{{ end }}
| 0 |
rapidsai_public_repos/rapids.ai/layouts
|
rapidsai_public_repos/rapids.ai/layouts/shortcodes/copy-btn.html
|
<script>
/* Append Code Copy Button */
/* source: https://remarkablemark.org/blog/2021/06/01/add-copy-code-to-clipboard-button-to-jeyll-site/ */
// Code Block must use pre + 'highlight' tag
var codeBlocks = document.querySelectorAll('pre.highlight');
codeBlocks.forEach(function (codeBlock) {
var copyButton = document.createElement('button');
// checks for white style
if(codeBlock.classList.contains('use-white-copy')){
copyButton.className = 'copy-button-white';
} else {
copyButton.className = 'copy-button';
}
copyButton.type = 'button';
copyButton.ariaLabel = 'Copy code to clipboard';
copyButton.innerText = 'Copy';
codeBlock.append(copyButton);
copyButton.addEventListener('click', function () {
var code = codeBlock.querySelector('code').innerText.trim();
window.navigator.clipboard.writeText(code);
copyButton.innerText = 'Copied';
var fourSeconds = 3000;
setTimeout(function () {
copyButton.innerText = 'Copy';
}, fourSeconds);
});
});
</script>
| 0 |
rapidsai_public_repos/rapids.ai/layouts
|
rapidsai_public_repos/rapids.ai/layouts/shortcodes/open-source.html
|
<div class="container">
<h2>Open Source</h2>
<p>RAPIDS would not be possible without the collaboration of these important open source projects. Click on a logo to learn more: </p>
<div class="d-flex flex-wrap justify-content-between mt-5">
<a href="https://arrow.apache.org/" target="_blank" class="img-w100" > <img src="/images/apache-arrow_Color.png" alt="Apache Arrow"></a>
<a href="https://dask.org/" target="_blank" class="img-w100"> <img src="/images/dask_logo.png" alt="Dask"> </a>
<a href="https://nuclio.io" target="_blank" class="img-w100"> <img src="/images/nuclio-logo.png" alt="nuclio"> </a>
<a href="https://numba.pydata.org/" target="_blank" class="img-w100"> <img src="/images/numba_logo.png" alt="Numba"> </a>
<a href="https://scikit-learn.org/stable/index.html" target="_blank" class="img-w100"> <img src="/images/scikit-learn_Color.png" alt="scikitlearn"> </a>
<a href="https://xgboost.ai/" target="_blank" class="img-w100"> <img src="/images/xgboost_logo.png" alt="XGboost"> </a>
</div>
</div>
| 0 |
rapidsai_public_repos/rapids.ai/layouts
|
rapidsai_public_repos/rapids.ai/layouts/shortcodes/announcements.html
|
<!-- Announcements -->
<section class="row">
<div class="col">
<div class="hero-announce-container">
{{ if isset .Params "text-1" }}
<a href="{{ .Get "link-1" }} " target='_blank' class="hero-announce">
<span class="announce-icon fa-stack">
<i class="fa-solid fa-circle fa-stack-2x"></i>
<i class="fa-regular fa-bell fa-stack-1x fa-inverse"></i>
</span>
<button class="button-rapids-purple">
{{ .Get "text-1" }}
</button>
</a>
{{ end }}
{{ if isset .Params "text-2" }}
<a href="{{ .Get "link-2" }} " target='_blank' class="hero-announce">
<span class="announce-icon fa-stack">
<i class="fa-solid fa-circle fa-stack-2x"></i>
<i class="fa-regular fa-bell fa-stack-1x fa-inverse"></i>
</span>
<button class="button-rapids-purple">
{{ .Get "text-2" }}
</button>
</a>
{{ end }}
{{ if isset .Params "text-3" }}
<a href="{{ .Get "link-3" }} " target='_blank' class="hero-announce">
<span class="announce-icon fa-stack">
<i class="fa-solid fa-circle fa-stack-2x"></i>
<i class="fa-regular fa-bell fa-stack-1x fa-inverse"></i>
</span>
<button class="button-rapids-purple">
{{ .Get "text-3" }}
</button>
</a>
{{ end }}
</div>
</div>
</section>
| 0 |
rapidsai_public_repos/rapids.ai/layouts
|
rapidsai_public_repos/rapids.ai/layouts/shortcodes/hero.html
|
<section class="row hero-rapids-bg mb-5">
<div class="col">
<div class="hero-body text-center">
<img class="hero-img" src="/images/rapids-logo-whitetxt.svg">
<p class="fw-semibold fs-3 lh-xs text-white mb-2">
{{ .Get "hero-text" }}
</p>
<button class="button-rapids-teal lh-xs"><a href="{{ .Get "button-link" }}">{{ .Get "button-text" }}</a></button>
</div>
<div class="top-slant-container">
<div class="top-slant-up bg-white"></div>
</div>
</div>
</section>
| 0 |
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