feat: add gitlab ci, makefile, sphinx docs
This commit is contained in:
parent
2c6232a1bf
commit
3a5fc32ec8
@ -1,30 +1,80 @@
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include:
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- project: "Gitlab/gitlab"
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ref: 0.3.0
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file: "/ci-templates/research/dvc-versioning-build-release.gitlab-ci.yml"
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ref: main
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file: "/ci-templates/research/versioning-build+azure_model-test-release.gitlab-ci.yml"
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variables:
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NEXUS_PROJECT_DIR: red
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NEXUS_PROJECT_DIR: ff
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IMAGENAME: "${CI_PROJECT_NAME}"
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#################################
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# temp. disable integration tests, b/c they don't cover the CV analysis case yet
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trigger integration tests:
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rules:
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- when: never
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release build:
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stage: release
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######
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# DOCS
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pages:
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stage: unit-tests
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before_script:
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- !reference [.activate-venv, script]
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script:
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- sphinx-apidoc ./src -o ./docs/source/modules --no-toc --module-first --follow-links --separate --force
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- sphinx-build -b html docs/source/ public/ -E -a
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artifacts:
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paths:
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- public
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# only:
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# - main
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########
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# BUILDS
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###### UPDATE/EDIT ######
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# MAKE SURE TO SWITCH OUT ALL YOUR MODEL NAMES + VERSIONS
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# name the job after the model it's using in the build, keep the prefix referencing `docker-build::`
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docker-build::keyword-extraction-multi:
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extends: .docker-build
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variables:
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MODEL_NAME: ${MODEL_MULTI_NAME}
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MODEL_VERSION: ${MODEL_MULTI_VERSION}
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docker-build::cv-analysis-service:
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extends: .docker-build
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needs:
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- job: set custom version
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artifacts: true
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optional: true
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- job: calculate patch version
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artifacts: true
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optional: true
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- job: calculate minor version
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artifacts: true
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optional: true
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- job: build docker nexus
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artifacts: true
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#################################
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- !reference [.needs-versioning, needs]
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- job: docker-build::cv-analysis-service
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variables:
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MODEL_NAME: ${MODEL_EN_NAME}
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MODEL_VERSION: ${MODEL_EN_VERSION}
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docker-build::keyword-extraction-de:
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extends: .docker-build
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needs:
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- !reference [.needs-versioning, needs]
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- job: docker-build::cv-analysis-service
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variables:
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MODEL_NAME: ${MODEL_DE_NAME}
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MODEL_VERSION: ${MODEL_DE_VERSION}
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###################
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# INTEGRATION TESTS
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trigger-integration-tests:
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extends: .integration-tests
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needs:
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###### UPDATE/EDIT ######
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# YOU NEED ONLY TO DEFINE ONE
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# reason is that we want to have one built image to use with the integration tests
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# this should be the same image you uploaded test data for
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- job: docker-build::cv-analysis-service
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artifacts: true
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rules:
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- when: never # temp. disable integration tests
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#########
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# RELEASE
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release:
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extends: .release
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needs:
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- !reference [.release, needs] # LEAVE THIS LINE AS IS
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###### UPDATE/EDIT ######
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# DEFINE ONE BUILD JOB THAT NEEDS TO EXIST BEFORE RELEASE
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- job: docker-build::cv-analysis-service
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30
.gitlab-ci.yml.bak
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30
.gitlab-ci.yml.bak
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include:
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- project: "Gitlab/gitlab"
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ref: 0.3.0
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file: "/ci-templates/research/dvc-versioning-build-release.gitlab-ci.yml"
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variables:
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NEXUS_PROJECT_DIR: red
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IMAGENAME: "${CI_PROJECT_NAME}"
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#################################
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# temp. disable integration tests, b/c they don't cover the CV analysis case yet
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trigger integration tests:
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rules:
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- when: never
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release build:
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stage: release
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needs:
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- job: set custom version
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artifacts: true
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optional: true
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- job: calculate patch version
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artifacts: true
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optional: true
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- job: calculate minor version
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artifacts: true
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optional: true
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- job: build docker nexus
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artifacts: true
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#################################
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@ -10,6 +10,7 @@ repos:
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- id: trailing-whitespace
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- id: end-of-file-fixer
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- id: check-yaml
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args: [--unsafe]
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- id: check-toml
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- id: detect-private-key
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- id: check-added-large-files
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91
Makefile
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91
Makefile
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.PHONY: \
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poetry in-project-venv dev-env use-env install install-dev tests \
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update-version sync-version-with-git \
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docker docker-build-run docker-build docker-run \
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docker-rm docker-rm-container docker-rm-image \
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pre-commit get-licenses prep-commit \
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docs sphinx_html sphinx_apidoc
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.DEFAULT_GOAL := run
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export DOCKER=docker
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export DOCKERFILE=Dockerfile
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export IMAGE_NAME=keyword_extraction_service-image
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export CONTAINER_NAME=keyword_extraction_service-container
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export HOST_PORT=9999
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export CONTAINER_PORT=9999
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export PYTHON_VERSION=python3.10
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# all commands should be executed in the root dir or the project,
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# specific environments should be deactivated
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poetry: in-project-venv use-env dev-env
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in-project-venv:
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poetry config virtualenvs.in-project true
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use-env:
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poetry env use ${PYTHON_VERSION}
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dev-env:
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poetry install --with dev && poetry update
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install:
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poetry add $(pkg)
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install-dev:
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poetry add --dev $(pkg)
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requirements:
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poetry export --without-hashes --output requirements.txt
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update-version:
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poetry version prerelease
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sync-version-with-git:
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git pull -p && poetry version $(git rev-list --tags --max-count=1 | git describe --tags --abbrev=0)
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bom:
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cyclonedx-py poetry -o bom.json
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docker: docker-rm docker-build-run
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docker-build-run: docker-build docker-run
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docker-build:
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$(DOCKER) build \
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--no-cache --progress=plain \
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-t $(IMAGE_NAME) -f $(DOCKERFILE) \
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--build-arg USERNAME=${USERNAME} \
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--build-arg TOKEN=${GITLAB_TOKEN} \
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.
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docker-run:
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$(DOCKER) run -it --rm -p $(HOST_PORT):$(CONTAINER_PORT)/tcp --name $(CONTAINER_NAME) $(IMAGE_NAME)
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docker-rm: docker-rm-container docker-rm-image
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docker-rm-container:
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-$(DOCKER) rm $(CONTAINER_NAME)
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docker-rm-image:
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-$(DOCKER) image rm $(IMAGE_NAME)
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tests:
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poetry run pytest ./tests
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prep-commit:
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docs get-license sync-version-with-git update-version pre-commit
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pre-commit:
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pre-commit run --all-files
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get-licenses:
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pip-licenses --format=json --order=license --with-urls > pkg-licenses.json
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docs: sphinx_apidoc sphinx_html
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sphinx_html:
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poetry run sphinx-build -b html docs/source/ docs/build/html -E -a
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sphinx_apidoc:
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poetry run sphinx-apidoc ./src -o ./docs/source/modules --no-toc --module-first --follow-links --separate --force
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4
docs/build/html/.buildinfo
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4
docs/build/html/.buildinfo
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# Sphinx build info version 1
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# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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config: 9fe322b0a30d48be95bbacb490584b25
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tags: 645f666f9bcd5a90fca523b33c5a78b7
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@ -0,0 +1,683 @@
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<!DOCTYPE html>
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||||
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||||
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||||
<html lang="en" data-content_root="./" >
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||||
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||||
<head>
|
||||
<meta charset="utf-8" />
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||||
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
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||||
|
||||
<title>Keyword-Service — CV Analysis Service 2.5.1 documentation</title>
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||||
|
||||
|
||||
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||||
<script data-cfasync="false">
|
||||
document.documentElement.dataset.mode = localStorage.getItem("mode") || "";
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||||
document.documentElement.dataset.theme = localStorage.getItem("theme") || "light";
|
||||
</script>
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||||
<!-- Loaded before other Sphinx assets -->
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<link href="_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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<link href="_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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<link href="_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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<link href="_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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<link rel="preload" as="font" type="font/woff2" crossorigin href="_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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<link rel="preload" as="font" type="font/woff2" crossorigin href="_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
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<link rel="preload" as="font" type="font/woff2" crossorigin href="_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
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<link rel="stylesheet" type="text/css" href="_static/pygments.css?v=a746c00c" />
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<script src="_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
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<script src="_static/documentation_options.js?v=983e91d6"></script>
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<script src="_static/doctools.js?v=9a2dae69"></script>
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<script src="_static/sphinx_highlight.js?v=dc90522c"></script>
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<script>DOCUMENTATION_OPTIONS.pagename = 'README';</script>
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<script async="async" src="https://assets.readthedocs.org/static/javascript/readthedocs-doc-embed.js"></script>
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||||
<link rel="index" title="Index" href="genindex.html" />
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||||
<link rel="search" title="Search" href="search.html" />
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||||
<link rel="next" title="cv_analysis package" href="modules/cv_analysis.html" />
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||||
<link rel="prev" title="Welcome to Keyword Extraction Service documentation!" href="index.html" />
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<meta name="docsearch:language" content="en"/>
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<script type="application/json" id="READTHEDOCS_DATA">{"ad_free": "", "api_host": "", "builder": "sphinx", "canonical_url": "", "docroot": "", "features": {"docsearch_disabled": false}, "global_analytics_code": null, "language": "", "page": "README", "programming_language": "", "project": "", "source_suffix": ".md", "subprojects": {}, "theme": "", "user_analytics_code": null, "version": ""}</script>
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<!--
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Using this variable directly instead of using `JSON.parse` is deprecated.
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<section id="keyword-service">
|
||||
<h1>Keyword-Service<a class="headerlink" href="#keyword-service" title="Link to this heading">#</a></h1>
|
||||
<p>Service to get keywords of a paragraph or whole document.</p>
|
||||
<!-- TOC --><ul class="simple">
|
||||
<li><p><a class="reference external" href="#keyword-service">Keyword-Service</a></p>
|
||||
<ul>
|
||||
<li><p><a class="reference external" href="#api">API</a></p>
|
||||
<ul>
|
||||
<li><p><a class="reference external" href="#rest">REST</a></p></li>
|
||||
<li><p><a class="reference external" href="#rabbitmq">RabbitMQ</a></p></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li><p><a class="reference external" href="#service-configuration">Service Configuration</a></p></li>
|
||||
<li><p><a class="reference external" href="#language">Language</a></p></li>
|
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<li><p><a class="reference external" href="#usage">Usage</a></p>
|
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<ul>
|
||||
<li><p><a class="reference external" href="#run-docker-commands">Run Docker Commands</a></p></li>
|
||||
<li><p><a class="reference external" href="#run-locally">Run locally</a></p></li>
|
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</ul>
|
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</li>
|
||||
</ul>
|
||||
</li>
|
||||
<li><p><a class="reference external" href="#upload-models-to-ml-flow">Upload models to ML Flow</a></p></li>
|
||||
</ul>
|
||||
<!-- TOC --><section id="api">
|
||||
<h2>API<a class="headerlink" href="#api" title="Link to this heading">#</a></h2>
|
||||
<section id="rest">
|
||||
<h3>REST<a class="headerlink" href="#rest" title="Link to this heading">#</a></h3>
|
||||
<p>The service provides endpoints to extract keywords from a text and to embed a text. For details, download
|
||||
<a class="reference external" href="docs/openapi_redoc.html">OpenAPI schema</a> and view it in a browser.</p>
|
||||
</section>
|
||||
<section id="rabbitmq">
|
||||
<h3>RabbitMQ<a class="headerlink" href="#rabbitmq" title="Link to this heading">#</a></h3>
|
||||
<p>The service listens to a queue and processes the messages. This method is ment to be used for extracting keywords from
|
||||
whole documents. All RabbitMQ parameters including the queue names are set in environment variables, refer to the
|
||||
service respective HELM chart for more information.</p>
|
||||
<p>The input message should be a JSON object with the following structure:</p>
|
||||
<div class="highlight-json notranslate"><div class="highlight"><pre><span></span><span class="p">{</span>
|
||||
<span class="w"> </span><span class="nt">"targetFilePath"</span><span class="p">:</span><span class="w"> </span><span class="err">s</span><span class="kc">tr</span><span class="err">i</span><span class="kc">n</span><span class="err">g</span><span class="p">,</span>
|
||||
<span class="w"> </span><span class="nt">"responseFilePath"</span><span class="p">:</span><span class="w"> </span><span class="err">s</span><span class="kc">tr</span><span class="err">i</span><span class="kc">n</span><span class="err">g</span>
|
||||
<span class="p">}</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
<p>The service downloads the file specified in <code class="docutils literal notranslate"><span class="pre">targetFilePath</span></code>. Supported data structures for the target file are:</p>
|
||||
<ul class="simple">
|
||||
<li><p>simplified text data (signifier key: <code class="docutils literal notranslate"><span class="pre">paragraphs</span></code>)</p></li>
|
||||
<li><p>structure object data (signifier key: <code class="docutils literal notranslate"><span class="pre">structureObjects</span></code>)</p></li>
|
||||
</ul>
|
||||
<p>As a response, the service uploads a JSON-structured file (as defined in <code class="docutils literal notranslate"><span class="pre">responseFilePath</span></code>) with the result under the
|
||||
<code class="docutils literal notranslate"><span class="pre">data</span></code> key. The structure of the response file is as follows:</p>
|
||||
<div class="highlight-javascript notranslate"><div class="highlight"><pre><span></span><span class="p">{</span>
|
||||
<span class="w"> </span><span class="s2">"targetFilePath"</span>
|
||||
<span class="o">:</span>
|
||||
<span class="w"> </span><span class="nx">string</span><span class="p">,</span>
|
||||
<span class="w"> </span><span class="s2">"responseFilePath"</span>
|
||||
<span class="o">:</span>
|
||||
<span class="w"> </span><span class="nx">string</span><span class="p">,</span>
|
||||
<span class="w"> </span><span class="c1">// and eventually further fields if present in the input message </span>
|
||||
<span class="w"> </span><span class="s2">"data"</span>
|
||||
<span class="o">:</span>
|
||||
<span class="w"> </span><span class="p">[</span>
|
||||
<span class="w"> </span><span class="p">{</span>
|
||||
<span class="w"> </span><span class="s2">"keywords"</span><span class="o">:</span><span class="w"> </span><span class="nb">Array</span><span class="p">[</span><span class="nx">string</span><span class="p">],</span>
|
||||
<span class="w"> </span><span class="s2">"paragraphId"</span><span class="o">:</span><span class="w"> </span><span class="kr">int</span><span class="p">,</span>
|
||||
<span class="w"> </span><span class="s2">"embedding"</span><span class="o">:</span><span class="w"> </span><span class="nb">Array</span><span class="p">[</span><span class="kr">float</span><span class="p">]</span><span class="w"> </span><span class="c1">// 384 dimensions</span>
|
||||
<span class="w"> </span><span class="p">}</span>
|
||||
<span class="w"> </span><span class="p">]</span>
|
||||
<span class="p">}</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
<p><strong>Note</strong> that</p>
|
||||
<ul class="simple">
|
||||
<li><p>the <code class="docutils literal notranslate"><span class="pre">embedding</span></code> key is optional and can be omitted. The service will not calculate the embedding if the environment
|
||||
variable <code class="docutils literal notranslate"><span class="pre">MODEL__COMPUTE_EMBEDDINGS</span></code> is set to <code class="docutils literal notranslate"><span class="pre">false</span></code>.</p></li>
|
||||
<li><p>the service also computes the keywords for the whole document. In this case, the <code class="docutils literal notranslate"><span class="pre">paragraphId</span></code> is set to <code class="docutils literal notranslate"><span class="pre">-1</span></code>.</p></li>
|
||||
</ul>
|
||||
</section>
|
||||
</section>
|
||||
<section id="service-configuration">
|
||||
<h2>Service Configuration<a class="headerlink" href="#service-configuration" title="Link to this heading">#</a></h2>
|
||||
<p>The service is configured via environment variables. The following variables are available:</p>
|
||||
<p>| Variable | Description | Default |
|
||||
| —————————————— | ———————————————————————————– | ——- |
|
||||
| LOGGING__LEVEL | Logging level | INFO |
|
||||
| MODEL__MAX_KEYWORDS_PER_PARAGRAPH | Maximum number of keywords per paragraph | 5 |
|
||||
| MODLE__MAX_KEYWORDS_PER_DOCUMENT | Maximum number of keywords per document, when set to 0, no keywords are extracted | 0 |
|
||||
| MODEL__COMPUTE_EMBEDDINGS | Whether to compute keyword embeddings or not | true |
|
||||
| MODEL__PREPROCESSING__MIN_PARAGRAPH_LENGTH | Minimum number of characters in a paragraph to be considered for keyword extraction | 1 |
|
||||
| MODEL__POSTPROCESSING__FILTER_SUBWORDS | Whether to filter out subwords from the keywords or not | true |</p>
|
||||
<p><strong>NOTE</strong> that these variables are subject to change. For the most recent configuration, refer to the service respective
|
||||
HELM chart.</p>
|
||||
</section>
|
||||
<section id="language">
|
||||
<h2>Language<a class="headerlink" href="#language" title="Link to this heading">#</a></h2>
|
||||
<p>Currently, there is an english, a german and a multi-language model for keyword extraction. The models are uploaded to
|
||||
mlflow and can
|
||||
be set in the Dockerfile when building the container:</p>
|
||||
<p>example for german model:</p>
|
||||
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">ENV</span> <span class="n">AZURE_RESOURCE_GROUP</span><span class="o">=</span><span class="s2">"mriedl"</span>
|
||||
<span class="n">ENV</span> <span class="n">AZURE_AML_WORKSPACE</span><span class="o">=</span><span class="s2">"azureml-ws"</span>
|
||||
<span class="n">ENV</span> <span class="n">AZURE_AML_MODEL_NAME</span><span class="o">=</span><span class="s2">"keyword-extraction-de"</span>
|
||||
<span class="n">ENV</span> <span class="n">AZURE_AML_MODEL_VERSION</span><span class="o">=</span><span class="s2">"1"</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
<p>and example for english model:</p>
|
||||
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">ENV</span> <span class="n">AZURE_RESOURCE_GROUP</span><span class="o">=</span><span class="s2">"mriedl"</span>
|
||||
<span class="n">ENV</span> <span class="n">AZURE_AML_WORKSPACE</span><span class="o">=</span><span class="s2">"azureml-ws"</span>
|
||||
<span class="n">ENV</span> <span class="n">AZURE_AML_MODEL_NAME</span><span class="o">=</span><span class="s2">"keyword-extraction-de"</span>
|
||||
<span class="n">ENV</span> <span class="n">AZURE_AML_MODEL_VERSION</span><span class="o">=</span><span class="s2">"1"</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</section>
|
||||
<section id="usage">
|
||||
<h2>Usage<a class="headerlink" href="#usage" title="Link to this heading">#</a></h2>
|
||||
<p><strong>Two Options:</strong></p>
|
||||
<ol class="simple">
|
||||
<li><p>REST: Send text per request to endpoint, endpoint returns keywords</p></li>
|
||||
<li><p>Queue: Service gets text from queue, model calculates keywords, save keywords in queue</p></li>
|
||||
</ol>
|
||||
<p>To test the REST endpoint you have to set up an environment and do poetry install (
|
||||
see https://gitlab.knecon.com/knecon/research/template-python-project for details for setting up poetry)
|
||||
Then run</p>
|
||||
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="o">./</span><span class="n">src</span><span class="o">/</span><span class="n">serve</span><span class="o">.</span><span class="n">py</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
<p>You don’t need to start a queue for that, just ignore the AMQP Error.
|
||||
Port and host are set in settings.toml .
|
||||
You can use the FastAPI under 127.0.0.1:8001/docs to send request to endpoint.</p>
|
||||
<p>You can also test the service with docker:</p>
|
||||
<section id="run-docker-commands">
|
||||
<h3>Run Docker Commands<a class="headerlink" href="#run-docker-commands" title="Link to this heading">#</a></h3>
|
||||
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>docker<span class="w"> </span>build<span class="w"> </span>-t<span class="w"> </span><span class="si">${</span><span class="nv">IMAGE_NAME</span><span class="si">}</span><span class="w"> </span>-f<span class="w"> </span>Dockerfile<span class="w"> </span>--build-arg<span class="w"> </span><span class="nv">GITLAB_USER</span><span class="o">=</span><span class="si">${</span><span class="nv">GITLAB_USER</span><span class="si">}</span><span class="w"> </span><span class="se">\</span>
|
||||
<span class="w"> </span>--build-arg<span class="w"> </span><span class="nv">GITLAB_ACCESS_TOKEN</span><span class="o">=</span><span class="si">${</span><span class="nv">GITLAB_ACCESS_TOKEN</span><span class="si">}</span><span class="w"> </span><span class="se">\</span>
|
||||
<span class="w"> </span>--build-arg<span class="w"> </span><span class="nv">AZURE_TENANT_ID</span><span class="o">=</span><span class="si">${</span><span class="nv">AZURE_TENANT_ID</span><span class="si">}</span><span class="w"> </span><span class="se">\</span>
|
||||
<span class="w"> </span>--build-arg<span class="w"> </span><span class="nv">AZURE_SUBSCRIPTION_ID</span><span class="o">=</span><span class="si">${</span><span class="nv">AZURE_SUBSCRIPTION_ID</span><span class="si">}</span><span class="w"> </span><span class="se">\</span>
|
||||
<span class="w"> </span>--build-arg<span class="w"> </span><span class="nv">AZURE_CLIENT_ID</span><span class="o">=</span><span class="si">${</span><span class="nv">AZURE_CLIENT_ID</span><span class="si">}</span><span class="w"> </span><span class="se">\</span>
|
||||
<span class="w"> </span>--build-arg<span class="w"> </span><span class="nv">AZURE_CLIENT_SECRET</span><span class="o">=</span><span class="si">${</span><span class="nv">AZURE_CLIENT_SECRET</span><span class="si">}</span><span class="w"> </span><span class="se">\</span>
|
||||
<span class="w"> </span>--build-arg<span class="w"> </span><span class="nv">AZURE_AML_MODEL_VERSION</span><span class="o">=</span><span class="si">${</span><span class="nv">AZURE_AML_MODEL_VERSION</span><span class="si">}</span><span class="w"> </span><span class="se">\</span>
|
||||
<span class="w"> </span>--build-arg<span class="w"> </span><span class="nv">AZURE_AML_MODEL_NAME</span><span class="o">=</span><span class="si">${</span><span class="nv">AZURE_AML_MODEL_NAME</span><span class="si">}</span><span class="w"> </span><span class="se">\</span>
|
||||
<span class="w"> </span>--build-arg<span class="w"> </span><span class="nv">AZURE_RESOURCE_GROUP</span><span class="o">=</span><span class="si">${</span><span class="nv">AZURE_RESOURCE_GROUP</span><span class="si">}</span><span class="w"> </span><span class="se">\</span>
|
||||
<span class="w"> </span>--build-arg<span class="w"> </span><span class="nv">AZURE_AML_WORKSPACE</span><span class="o">=</span><span class="si">${</span><span class="nv">AZURE_AML_WORKSPACE</span><span class="si">}</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>docker<span class="w"> </span>run<span class="w"> </span>--net<span class="o">=</span>host<span class="w"> </span>-it<span class="w"> </span>--rm<span class="w"> </span>--name<span class="w"> </span><span class="si">${</span><span class="nv">CONTAINER_NAME</span><span class="si">}</span><span class="w"> </span><span class="si">${</span><span class="nv">IMAGE_NAME</span><span class="si">}</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</section>
|
||||
<section id="run-locally">
|
||||
<h3>Run locally<a class="headerlink" href="#run-locally" title="Link to this heading">#</a></h3>
|
||||
<p>First you need to download the model from mlflow. This can be done with the <em>“src/ml_flow/download_model.py”</em> script.
|
||||
This scripts downloads a model and copies config and model data to the specific locations, such that the model can
|
||||
be loaded.</p>
|
||||
<p>For running/testing the keyword extraction locally you can use the <em>src/tests/test_process.py</em> script.</p>
|
||||
<p>Model ist stored and loaded via DVC, you need the connection string under
|
||||
https://portal.azure.com/#@knecon.com/resource/subscriptions/4b9531fc-c5e4-4b11-8492-0cc173c1f97d/resourceGroups/taas-rg/providers/Microsoft.Storage/storageAccounts/taassaracer/keys</p>
|
||||
</section>
|
||||
</section>
|
||||
</section>
|
||||
<section id="upload-models-to-ml-flow">
|
||||
<h1>Upload models to ML Flow<a class="headerlink" href="#upload-models-to-ml-flow" title="Link to this heading">#</a></h1>
|
||||
<p>To upload the models to mlflow, you can use following script: src/mlflow/upload_model.py
|
||||
For authentication following environment variables need to be set:</p>
|
||||
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="c1">#AZURE_TENANT_ID=""</span>
|
||||
<span class="c1">#AZURE_SUBSCRIPTION_ID=""</span>
|
||||
<span class="c1">#AZURE_CLIENT_ID=""</span>
|
||||
<span class="c1">#AZURE_CLIENT_SECRET=""</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
<p>Additional settings (resource group, experiment name, etc.) can be specified in the config (
|
||||
<em>./src/mlflow/config/azure_config.toml</em>).
|
||||
The <em>upload_model.py</em> has the following parameters:</p>
|
||||
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">options</span><span class="p">:</span>
|
||||
<span class="o">-</span><span class="n">h</span><span class="p">,</span> <span class="o">--</span><span class="n">help</span> <span class="n">show</span> <span class="n">this</span> <span class="n">help</span> <span class="n">message</span> <span class="ow">and</span> <span class="n">exit</span>
|
||||
<span class="o">-</span><span class="n">a</span> <span class="n">AZURE_CONFIG</span><span class="p">,</span> <span class="o">--</span><span class="n">azure_config</span> <span class="n">AZURE_CONFIG</span>
|
||||
<span class="n">Location</span> <span class="n">of</span> <span class="n">the</span> <span class="n">configuration</span> <span class="n">file</span> <span class="k">for</span> <span class="n">Azure</span> <span class="p">(</span><span class="n">default</span><span class="p">:</span> <span class="n">src</span><span class="o">/</span><span class="n">mlflow</span><span class="o">/</span><span class="n">config</span><span class="o">/</span><span class="n">azure_config</span><span class="o">.</span><span class="n">toml</span><span class="p">)</span>
|
||||
<span class="o">-</span><span class="n">b</span> <span class="n">BASE_CONFIG</span><span class="p">,</span> <span class="o">--</span><span class="n">base_config</span> <span class="n">BASE_CONFIG</span>
|
||||
<span class="n">Location</span> <span class="n">of</span> <span class="n">the</span> <span class="n">basic</span> <span class="n">training</span> <span class="n">configuration</span> <span class="p">(</span><span class="n">default</span><span class="p">:</span> <span class="n">src</span><span class="o">/</span><span class="n">mlflow</span><span class="o">/</span><span class="n">config</span><span class="o">/</span><span class="n">settings_de</span><span class="o">.</span><span class="n">toml</span><span class="p">)</span>
|
||||
|
||||
</pre></div>
|
||||
</div>
|
||||
<p>the base config contains all information for the models used. Examples for German and
|
||||
English are placed in <em>/src/mlflow/config/</em></p>
|
||||
<p>Note: Multi-language model tracking does not work for now. After the upload script reports an error, you have to
|
||||
manually track the
|
||||
model <a class="reference external" href="https://ml.azure.com/experiments?wsid=/subscriptions/4b9531fc-c5e4-4b11-8492-0cc173c1f97d/resourcegroups/fforesight-rg/providers/Microsoft.MachineLearningServices/workspaces/ff-aml-main&tid=b44be368-e4f2-4ade-a089-cd2825458048">here</a>
|
||||
where you can find the run. Adhere to the naming conventions for the model name and versions,
|
||||
see <a class="reference external" href="https://ml.azure.com/model/list?wsid=/subscriptions/4b9531fc-c5e4-4b11-8492-0cc173c1f97d/resourcegroups/fforesight-rg/providers/Microsoft.MachineLearningServices/workspaces/ff-aml-main&tid=b44be368-e4f2-4ade-a089-cd2825458048">here</a></p>
|
||||
</section>
|
||||
|
||||
|
||||
</article>
|
||||
|
||||
|
||||
|
||||
|
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|
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<footer class="prev-next-footer">
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title="previous page">
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<p class="prev-next-subtitle">previous</p>
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<p class="prev-next-title">Welcome to Keyword Extraction Service documentation!</p>
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</a>
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<a class="right-next"
|
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<p class="prev-next-subtitle">next</p>
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<p class="prev-next-title">cv_analysis package</p>
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class="page-toc tocsection onthispage">
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<i class="fa-solid fa-list"></i> On this page
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<nav class="bd-toc-nav page-toc" aria-labelledby="pst-page-navigation-heading-2">
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<ul class="visible nav section-nav flex-column">
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<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">Keyword-Service</a><ul class="visible nav section-nav flex-column">
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#api">API</a><ul class="nav section-nav flex-column">
|
||||
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#rest">REST</a></li>
|
||||
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#rabbitmq">RabbitMQ</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#service-configuration">Service Configuration</a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#language">Language</a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#usage">Usage</a><ul class="nav section-nav flex-column">
|
||||
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#run-docker-commands">Run Docker Commands</a></li>
|
||||
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#run-locally">Run locally</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#upload-models-to-ml-flow">Upload models to ML Flow</a></li>
|
||||
</ul>
|
||||
|
||||
</nav></div>
|
||||
|
||||
<div class="sidebar-secondary-item">
|
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<div class="tocsection sourcelink">
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<a href="_sources/README.md.txt">
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<i class="fa-solid fa-file-lines"></i> Show Source
|
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</a>
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</div>
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</main>
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<!-- Scripts loaded after <body> so the DOM is not blocked -->
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<script src="_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
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<div class="footer-item">
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<p class="copyright">
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© Copyright All rights reserved.
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<br/>
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|
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</p>
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</div>
|
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<div class="footer-item">
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<p class="sphinx-version">
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Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 7.3.7.
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<br/>
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</p>
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</div>
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</div>
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<div class="footer-items__end">
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Built with the <a href="https://pydata-sphinx-theme.readthedocs.io/en/stable/index.html">PyData Sphinx Theme</a> 0.15.2.
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</footer>
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</body>
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</html>
|
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203
docs/build/html/_sources/README.md.txt
vendored
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203
docs/build/html/_sources/README.md.txt
vendored
Normal file
@ -0,0 +1,203 @@
|
||||
# Keyword-Service
|
||||
|
||||
Service to get keywords of a paragraph or whole document.
|
||||
|
||||
<!-- TOC -->
|
||||
|
||||
- [Keyword-Service](#keyword-service)
|
||||
- [API](#api)
|
||||
- [REST](#rest)
|
||||
- [RabbitMQ](#rabbitmq)
|
||||
- [Service Configuration](#service-configuration)
|
||||
- [Language](#language)
|
||||
- [Usage](#usage)
|
||||
- [Run Docker Commands](#run-docker-commands)
|
||||
- [Run locally](#run-locally)
|
||||
- [Upload models to ML Flow](#upload-models-to-ml-flow)
|
||||
|
||||
<!-- TOC -->
|
||||
|
||||
## API
|
||||
|
||||
### REST
|
||||
|
||||
The service provides endpoints to extract keywords from a text and to embed a text. For details, download
|
||||
[OpenAPI schema](docs/openapi_redoc.html) and view it in a browser.
|
||||
|
||||
### RabbitMQ
|
||||
|
||||
The service listens to a queue and processes the messages. This method is ment to be used for extracting keywords from
|
||||
whole documents. All RabbitMQ parameters including the queue names are set in environment variables, refer to the
|
||||
service respective HELM chart for more information.
|
||||
|
||||
The input message should be a JSON object with the following structure:
|
||||
|
||||
```json
|
||||
{
|
||||
"targetFilePath": string,
|
||||
"responseFilePath": string
|
||||
}
|
||||
```
|
||||
|
||||
The service downloads the file specified in `targetFilePath`. Supported data structures for the target file are:
|
||||
|
||||
- simplified text data (signifier key: `paragraphs`)
|
||||
- structure object data (signifier key: `structureObjects`)
|
||||
|
||||
As a response, the service uploads a JSON-structured file (as defined in `responseFilePath`) with the result under the
|
||||
`data` key. The structure of the response file is as follows:
|
||||
|
||||
```javascript
|
||||
{
|
||||
"targetFilePath"
|
||||
:
|
||||
string,
|
||||
"responseFilePath"
|
||||
:
|
||||
string,
|
||||
// and eventually further fields if present in the input message
|
||||
"data"
|
||||
:
|
||||
[
|
||||
{
|
||||
"keywords": Array[string],
|
||||
"paragraphId": int,
|
||||
"embedding": Array[float] // 384 dimensions
|
||||
}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
**Note** that
|
||||
|
||||
- the `embedding` key is optional and can be omitted. The service will not calculate the embedding if the environment
|
||||
variable `MODEL__COMPUTE_EMBEDDINGS` is set to `false`.
|
||||
- the service also computes the keywords for the whole document. In this case, the `paragraphId` is set to `-1`.
|
||||
|
||||
## Service Configuration
|
||||
|
||||
The service is configured via environment variables. The following variables are available:
|
||||
|
||||
| Variable | Description | Default |
|
||||
| ------------------------------------------ | ----------------------------------------------------------------------------------- | ------- |
|
||||
| LOGGING__LEVEL | Logging level | INFO |
|
||||
| MODEL__MAX_KEYWORDS_PER_PARAGRAPH | Maximum number of keywords per paragraph | 5 |
|
||||
| MODLE__MAX_KEYWORDS_PER_DOCUMENT | Maximum number of keywords per document, when set to 0, no keywords are extracted | 0 |
|
||||
| MODEL__COMPUTE_EMBEDDINGS | Whether to compute keyword embeddings or not | true |
|
||||
| MODEL__PREPROCESSING__MIN_PARAGRAPH_LENGTH | Minimum number of characters in a paragraph to be considered for keyword extraction | 1 |
|
||||
| MODEL__POSTPROCESSING__FILTER_SUBWORDS | Whether to filter out subwords from the keywords or not | true |
|
||||
|
||||
**NOTE** that these variables are subject to change. For the most recent configuration, refer to the service respective
|
||||
HELM chart.
|
||||
|
||||
## Language
|
||||
|
||||
Currently, there is an english, a german and a multi-language model for keyword extraction. The models are uploaded to
|
||||
mlflow and can
|
||||
be set in the Dockerfile when building the container:
|
||||
|
||||
example for german model:
|
||||
|
||||
```
|
||||
ENV AZURE_RESOURCE_GROUP="mriedl"
|
||||
ENV AZURE_AML_WORKSPACE="azureml-ws"
|
||||
ENV AZURE_AML_MODEL_NAME="keyword-extraction-de"
|
||||
ENV AZURE_AML_MODEL_VERSION="1"
|
||||
```
|
||||
|
||||
and example for english model:
|
||||
|
||||
```
|
||||
ENV AZURE_RESOURCE_GROUP="mriedl"
|
||||
ENV AZURE_AML_WORKSPACE="azureml-ws"
|
||||
ENV AZURE_AML_MODEL_NAME="keyword-extraction-de"
|
||||
ENV AZURE_AML_MODEL_VERSION="1"
|
||||
```
|
||||
|
||||
## Usage
|
||||
|
||||
**Two Options:**
|
||||
|
||||
1. REST: Send text per request to endpoint, endpoint returns keywords
|
||||
2. Queue: Service gets text from queue, model calculates keywords, save keywords in queue
|
||||
|
||||
To test the REST endpoint you have to set up an environment and do poetry install (
|
||||
see https://gitlab.knecon.com/knecon/research/template-python-project for details for setting up poetry)
|
||||
Then run
|
||||
|
||||
```
|
||||
python ./src/serve.py
|
||||
```
|
||||
|
||||
You don't need to start a queue for that, just ignore the AMQP Error.
|
||||
Port and host are set in settings.toml .
|
||||
You can use the FastAPI under 127.0.0.1:8001/docs to send request to endpoint.
|
||||
|
||||
You can also test the service with docker:
|
||||
|
||||
#### Run Docker Commands
|
||||
|
||||
```bash
|
||||
docker build -t ${IMAGE_NAME} -f Dockerfile --build-arg GITLAB_USER=${GITLAB_USER} \
|
||||
--build-arg GITLAB_ACCESS_TOKEN=${GITLAB_ACCESS_TOKEN} \
|
||||
--build-arg AZURE_TENANT_ID=${AZURE_TENANT_ID} \
|
||||
--build-arg AZURE_SUBSCRIPTION_ID=${AZURE_SUBSCRIPTION_ID} \
|
||||
--build-arg AZURE_CLIENT_ID=${AZURE_CLIENT_ID} \
|
||||
--build-arg AZURE_CLIENT_SECRET=${AZURE_CLIENT_SECRET} \
|
||||
--build-arg AZURE_AML_MODEL_VERSION=${AZURE_AML_MODEL_VERSION} \
|
||||
--build-arg AZURE_AML_MODEL_NAME=${AZURE_AML_MODEL_NAME} \
|
||||
--build-arg AZURE_RESOURCE_GROUP=${AZURE_RESOURCE_GROUP} \
|
||||
--build-arg AZURE_AML_WORKSPACE=${AZURE_AML_WORKSPACE}
|
||||
```
|
||||
|
||||
```bash
|
||||
docker run --net=host -it --rm --name ${CONTAINER_NAME} ${IMAGE_NAME}
|
||||
```
|
||||
|
||||
#### Run locally
|
||||
|
||||
First you need to download the model from mlflow. This can be done with the *"src/ml_flow/download_model.py"* script.
|
||||
This scripts downloads a model and copies config and model data to the specific locations, such that the model can
|
||||
be loaded.
|
||||
|
||||
For running/testing the keyword extraction locally you can use the *src/tests/test_process.py* script.
|
||||
|
||||
Model ist stored and loaded via DVC, you need the connection string under
|
||||
https://portal.azure.com/#@knecon.com/resource/subscriptions/4b9531fc-c5e4-4b11-8492-0cc173c1f97d/resourceGroups/taas-rg/providers/Microsoft.Storage/storageAccounts/taassaracer/keys
|
||||
|
||||
# Upload models to ML Flow
|
||||
|
||||
To upload the models to mlflow, you can use following script: src/mlflow/upload_model.py
|
||||
For authentication following environment variables need to be set:
|
||||
|
||||
```
|
||||
#AZURE_TENANT_ID=""
|
||||
#AZURE_SUBSCRIPTION_ID=""
|
||||
#AZURE_CLIENT_ID=""
|
||||
#AZURE_CLIENT_SECRET=""
|
||||
```
|
||||
|
||||
Additional settings (resource group, experiment name, etc.) can be specified in the config (
|
||||
*./src/mlflow/config/azure_config.toml*).
|
||||
The *upload_model.py* has the following parameters:
|
||||
|
||||
```
|
||||
options:
|
||||
-h, --help show this help message and exit
|
||||
-a AZURE_CONFIG, --azure_config AZURE_CONFIG
|
||||
Location of the configuration file for Azure (default: src/mlflow/config/azure_config.toml)
|
||||
-b BASE_CONFIG, --base_config BASE_CONFIG
|
||||
Location of the basic training configuration (default: src/mlflow/config/settings_de.toml)
|
||||
|
||||
|
||||
```
|
||||
|
||||
the base config contains all information for the models used. Examples for German and
|
||||
English are placed in */src/mlflow/config/*
|
||||
|
||||
Note: Multi-language model tracking does not work for now. After the upload script reports an error, you have to
|
||||
manually track the
|
||||
model [here](https://ml.azure.com/experiments?wsid=/subscriptions/4b9531fc-c5e4-4b11-8492-0cc173c1f97d/resourcegroups/fforesight-rg/providers/Microsoft.MachineLearningServices/workspaces/ff-aml-main&tid=b44be368-e4f2-4ade-a089-cd2825458048)
|
||||
where you can find the run. Adhere to the naming conventions for the model name and versions,
|
||||
see [here](https://ml.azure.com/model/list?wsid=/subscriptions/4b9531fc-c5e4-4b11-8492-0cc173c1f97d/resourcegroups/fforesight-rg/providers/Microsoft.MachineLearningServices/workspaces/ff-aml-main&tid=b44be368-e4f2-4ade-a089-cd2825458048)
|
||||
|
||||
37
docs/build/html/_sources/index.rst.txt
vendored
Normal file
37
docs/build/html/_sources/index.rst.txt
vendored
Normal file
@ -0,0 +1,37 @@
|
||||
.. Keyword Extraction Service documentation master file, created by
|
||||
sphinx-quickstart on Mon Sep 12 12:04:24 2022.
|
||||
You can adapt this file completely to your liking, but it should at least
|
||||
contain the root `toctree` directive.
|
||||
|
||||
====================================================
|
||||
Welcome to Keyword Extraction Service documentation!
|
||||
====================================================
|
||||
|
||||
.. note::
|
||||
|
||||
If you'd like to change the looks of things 👉 https://www.sphinx-doc.org/en/master/usage/restructuredtext/basics.html
|
||||
|
||||
|
||||
Table of Contents
|
||||
-----------------
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 3
|
||||
:caption: README
|
||||
|
||||
README.md
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 3
|
||||
:caption: Modules
|
||||
|
||||
modules/cv_analysis
|
||||
modules/serve
|
||||
|
||||
|
||||
Indices and tables
|
||||
==================
|
||||
|
||||
* :ref:`genindex`
|
||||
* :ref:`modindex`
|
||||
* :ref:`search`
|
||||
7
docs/build/html/_sources/modules/cv_analysis.config.rst.txt
vendored
Normal file
7
docs/build/html/_sources/modules/cv_analysis.config.rst.txt
vendored
Normal file
@ -0,0 +1,7 @@
|
||||
cv\_analysis.config module
|
||||
==========================
|
||||
|
||||
.. automodule:: cv_analysis.config
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
7
docs/build/html/_sources/modules/cv_analysis.figure_detection.figure_detection.rst.txt
vendored
Normal file
7
docs/build/html/_sources/modules/cv_analysis.figure_detection.figure_detection.rst.txt
vendored
Normal file
@ -0,0 +1,7 @@
|
||||
cv\_analysis.figure\_detection.figure\_detection module
|
||||
=======================================================
|
||||
|
||||
.. automodule:: cv_analysis.figure_detection.figure_detection
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
7
docs/build/html/_sources/modules/cv_analysis.figure_detection.figures.rst.txt
vendored
Normal file
7
docs/build/html/_sources/modules/cv_analysis.figure_detection.figures.rst.txt
vendored
Normal file
@ -0,0 +1,7 @@
|
||||
cv\_analysis.figure\_detection.figures module
|
||||
=============================================
|
||||
|
||||
.. automodule:: cv_analysis.figure_detection.figures
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
17
docs/build/html/_sources/modules/cv_analysis.figure_detection.rst.txt
vendored
Normal file
17
docs/build/html/_sources/modules/cv_analysis.figure_detection.rst.txt
vendored
Normal file
@ -0,0 +1,17 @@
|
||||
cv\_analysis.figure\_detection package
|
||||
======================================
|
||||
|
||||
.. automodule:: cv_analysis.figure_detection
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
|
||||
Submodules
|
||||
----------
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 4
|
||||
|
||||
cv_analysis.figure_detection.figure_detection
|
||||
cv_analysis.figure_detection.figures
|
||||
cv_analysis.figure_detection.text
|
||||
7
docs/build/html/_sources/modules/cv_analysis.figure_detection.text.rst.txt
vendored
Normal file
7
docs/build/html/_sources/modules/cv_analysis.figure_detection.text.rst.txt
vendored
Normal file
@ -0,0 +1,7 @@
|
||||
cv\_analysis.figure\_detection.text module
|
||||
==========================================
|
||||
|
||||
.. automodule:: cv_analysis.figure_detection.text
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
7
docs/build/html/_sources/modules/cv_analysis.layout_parsing.rst.txt
vendored
Normal file
7
docs/build/html/_sources/modules/cv_analysis.layout_parsing.rst.txt
vendored
Normal file
@ -0,0 +1,7 @@
|
||||
cv\_analysis.layout\_parsing module
|
||||
===================================
|
||||
|
||||
.. automodule:: cv_analysis.layout_parsing
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
7
docs/build/html/_sources/modules/cv_analysis.locations.rst.txt
vendored
Normal file
7
docs/build/html/_sources/modules/cv_analysis.locations.rst.txt
vendored
Normal file
@ -0,0 +1,7 @@
|
||||
cv\_analysis.locations module
|
||||
=============================
|
||||
|
||||
.. automodule:: cv_analysis.locations
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
7
docs/build/html/_sources/modules/cv_analysis.redaction_detection.rst.txt
vendored
Normal file
7
docs/build/html/_sources/modules/cv_analysis.redaction_detection.rst.txt
vendored
Normal file
@ -0,0 +1,7 @@
|
||||
cv\_analysis.redaction\_detection module
|
||||
========================================
|
||||
|
||||
.. automodule:: cv_analysis.redaction_detection
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
30
docs/build/html/_sources/modules/cv_analysis.rst.txt
vendored
Normal file
30
docs/build/html/_sources/modules/cv_analysis.rst.txt
vendored
Normal file
@ -0,0 +1,30 @@
|
||||
cv\_analysis package
|
||||
====================
|
||||
|
||||
.. automodule:: cv_analysis
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
|
||||
Subpackages
|
||||
-----------
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 4
|
||||
|
||||
cv_analysis.figure_detection
|
||||
cv_analysis.server
|
||||
cv_analysis.utils
|
||||
|
||||
Submodules
|
||||
----------
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 4
|
||||
|
||||
cv_analysis.config
|
||||
cv_analysis.layout_parsing
|
||||
cv_analysis.locations
|
||||
cv_analysis.redaction_detection
|
||||
cv_analysis.table_inference
|
||||
cv_analysis.table_parsing
|
||||
7
docs/build/html/_sources/modules/cv_analysis.server.pipeline.rst.txt
vendored
Normal file
7
docs/build/html/_sources/modules/cv_analysis.server.pipeline.rst.txt
vendored
Normal file
@ -0,0 +1,7 @@
|
||||
cv\_analysis.server.pipeline module
|
||||
===================================
|
||||
|
||||
.. automodule:: cv_analysis.server.pipeline
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
15
docs/build/html/_sources/modules/cv_analysis.server.rst.txt
vendored
Normal file
15
docs/build/html/_sources/modules/cv_analysis.server.rst.txt
vendored
Normal file
@ -0,0 +1,15 @@
|
||||
cv\_analysis.server package
|
||||
===========================
|
||||
|
||||
.. automodule:: cv_analysis.server
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
|
||||
Submodules
|
||||
----------
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 4
|
||||
|
||||
cv_analysis.server.pipeline
|
||||
7
docs/build/html/_sources/modules/cv_analysis.table_inference.rst.txt
vendored
Normal file
7
docs/build/html/_sources/modules/cv_analysis.table_inference.rst.txt
vendored
Normal file
@ -0,0 +1,7 @@
|
||||
cv\_analysis.table\_inference module
|
||||
====================================
|
||||
|
||||
.. automodule:: cv_analysis.table_inference
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
7
docs/build/html/_sources/modules/cv_analysis.table_parsing.rst.txt
vendored
Normal file
7
docs/build/html/_sources/modules/cv_analysis.table_parsing.rst.txt
vendored
Normal file
@ -0,0 +1,7 @@
|
||||
cv\_analysis.table\_parsing module
|
||||
==================================
|
||||
|
||||
.. automodule:: cv_analysis.table_parsing
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
7
docs/build/html/_sources/modules/cv_analysis.utils.annotate.rst.txt
vendored
Normal file
7
docs/build/html/_sources/modules/cv_analysis.utils.annotate.rst.txt
vendored
Normal file
@ -0,0 +1,7 @@
|
||||
cv\_analysis.utils.annotate module
|
||||
==================================
|
||||
|
||||
.. automodule:: cv_analysis.utils.annotate
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
7
docs/build/html/_sources/modules/cv_analysis.utils.banner.rst.txt
vendored
Normal file
7
docs/build/html/_sources/modules/cv_analysis.utils.banner.rst.txt
vendored
Normal file
@ -0,0 +1,7 @@
|
||||
cv\_analysis.utils.banner module
|
||||
================================
|
||||
|
||||
.. automodule:: cv_analysis.utils.banner
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
7
docs/build/html/_sources/modules/cv_analysis.utils.connect_rects.rst.txt
vendored
Normal file
7
docs/build/html/_sources/modules/cv_analysis.utils.connect_rects.rst.txt
vendored
Normal file
@ -0,0 +1,7 @@
|
||||
cv\_analysis.utils.connect\_rects module
|
||||
========================================
|
||||
|
||||
.. automodule:: cv_analysis.utils.connect_rects
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
7
docs/build/html/_sources/modules/cv_analysis.utils.display.rst.txt
vendored
Normal file
7
docs/build/html/_sources/modules/cv_analysis.utils.display.rst.txt
vendored
Normal file
@ -0,0 +1,7 @@
|
||||
cv\_analysis.utils.display module
|
||||
=================================
|
||||
|
||||
.. automodule:: cv_analysis.utils.display
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
7
docs/build/html/_sources/modules/cv_analysis.utils.draw.rst.txt
vendored
Normal file
7
docs/build/html/_sources/modules/cv_analysis.utils.draw.rst.txt
vendored
Normal file
@ -0,0 +1,7 @@
|
||||
cv\_analysis.utils.draw module
|
||||
==============================
|
||||
|
||||
.. automodule:: cv_analysis.utils.draw
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
7
docs/build/html/_sources/modules/cv_analysis.utils.filters.rst.txt
vendored
Normal file
7
docs/build/html/_sources/modules/cv_analysis.utils.filters.rst.txt
vendored
Normal file
@ -0,0 +1,7 @@
|
||||
cv\_analysis.utils.filters module
|
||||
=================================
|
||||
|
||||
.. automodule:: cv_analysis.utils.filters
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
7
docs/build/html/_sources/modules/cv_analysis.utils.image_extraction.rst.txt
vendored
Normal file
7
docs/build/html/_sources/modules/cv_analysis.utils.image_extraction.rst.txt
vendored
Normal file
@ -0,0 +1,7 @@
|
||||
cv\_analysis.utils.image\_extraction module
|
||||
===========================================
|
||||
|
||||
.. automodule:: cv_analysis.utils.image_extraction
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
7
docs/build/html/_sources/modules/cv_analysis.utils.open_pdf.rst.txt
vendored
Normal file
7
docs/build/html/_sources/modules/cv_analysis.utils.open_pdf.rst.txt
vendored
Normal file
@ -0,0 +1,7 @@
|
||||
cv\_analysis.utils.open\_pdf module
|
||||
===================================
|
||||
|
||||
.. automodule:: cv_analysis.utils.open_pdf
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
7
docs/build/html/_sources/modules/cv_analysis.utils.postprocessing.rst.txt
vendored
Normal file
7
docs/build/html/_sources/modules/cv_analysis.utils.postprocessing.rst.txt
vendored
Normal file
@ -0,0 +1,7 @@
|
||||
cv\_analysis.utils.postprocessing module
|
||||
========================================
|
||||
|
||||
.. automodule:: cv_analysis.utils.postprocessing
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
7
docs/build/html/_sources/modules/cv_analysis.utils.preprocessing.rst.txt
vendored
Normal file
7
docs/build/html/_sources/modules/cv_analysis.utils.preprocessing.rst.txt
vendored
Normal file
@ -0,0 +1,7 @@
|
||||
cv\_analysis.utils.preprocessing module
|
||||
=======================================
|
||||
|
||||
.. automodule:: cv_analysis.utils.preprocessing
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
28
docs/build/html/_sources/modules/cv_analysis.utils.rst.txt
vendored
Normal file
28
docs/build/html/_sources/modules/cv_analysis.utils.rst.txt
vendored
Normal file
@ -0,0 +1,28 @@
|
||||
cv\_analysis.utils package
|
||||
==========================
|
||||
|
||||
.. automodule:: cv_analysis.utils
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
|
||||
Submodules
|
||||
----------
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 4
|
||||
|
||||
cv_analysis.utils.annotate
|
||||
cv_analysis.utils.banner
|
||||
cv_analysis.utils.connect_rects
|
||||
cv_analysis.utils.display
|
||||
cv_analysis.utils.draw
|
||||
cv_analysis.utils.filters
|
||||
cv_analysis.utils.image_extraction
|
||||
cv_analysis.utils.open_pdf
|
||||
cv_analysis.utils.postprocessing
|
||||
cv_analysis.utils.preprocessing
|
||||
cv_analysis.utils.structures
|
||||
cv_analysis.utils.test_metrics
|
||||
cv_analysis.utils.utils
|
||||
cv_analysis.utils.visual_logging
|
||||
7
docs/build/html/_sources/modules/cv_analysis.utils.structures.rst.txt
vendored
Normal file
7
docs/build/html/_sources/modules/cv_analysis.utils.structures.rst.txt
vendored
Normal file
@ -0,0 +1,7 @@
|
||||
cv\_analysis.utils.structures module
|
||||
====================================
|
||||
|
||||
.. automodule:: cv_analysis.utils.structures
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
7
docs/build/html/_sources/modules/cv_analysis.utils.test_metrics.rst.txt
vendored
Normal file
7
docs/build/html/_sources/modules/cv_analysis.utils.test_metrics.rst.txt
vendored
Normal file
@ -0,0 +1,7 @@
|
||||
cv\_analysis.utils.test\_metrics module
|
||||
=======================================
|
||||
|
||||
.. automodule:: cv_analysis.utils.test_metrics
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
7
docs/build/html/_sources/modules/cv_analysis.utils.utils.rst.txt
vendored
Normal file
7
docs/build/html/_sources/modules/cv_analysis.utils.utils.rst.txt
vendored
Normal file
@ -0,0 +1,7 @@
|
||||
cv\_analysis.utils.utils module
|
||||
===============================
|
||||
|
||||
.. automodule:: cv_analysis.utils.utils
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
7
docs/build/html/_sources/modules/cv_analysis.utils.visual_logging.rst.txt
vendored
Normal file
7
docs/build/html/_sources/modules/cv_analysis.utils.visual_logging.rst.txt
vendored
Normal file
@ -0,0 +1,7 @@
|
||||
cv\_analysis.utils.visual\_logging module
|
||||
=========================================
|
||||
|
||||
.. automodule:: cv_analysis.utils.visual_logging
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
7
docs/build/html/_sources/modules/serve.rst.txt
vendored
Normal file
7
docs/build/html/_sources/modules/serve.rst.txt
vendored
Normal file
@ -0,0 +1,7 @@
|
||||
serve module
|
||||
============
|
||||
|
||||
.. automodule:: serve
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
925
docs/build/html/_static/basic.css
vendored
Normal file
925
docs/build/html/_static/basic.css
vendored
Normal file
@ -0,0 +1,925 @@
|
||||
/*
|
||||
* basic.css
|
||||
* ~~~~~~~~~
|
||||
*
|
||||
* Sphinx stylesheet -- basic theme.
|
||||
*
|
||||
* :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS.
|
||||
* :license: BSD, see LICENSE for details.
|
||||
*
|
||||
*/
|
||||
|
||||
/* -- main layout ----------------------------------------------------------- */
|
||||
|
||||
div.clearer {
|
||||
clear: both;
|
||||
}
|
||||
|
||||
div.section::after {
|
||||
display: block;
|
||||
content: '';
|
||||
clear: left;
|
||||
}
|
||||
|
||||
/* -- relbar ---------------------------------------------------------------- */
|
||||
|
||||
div.related {
|
||||
width: 100%;
|
||||
font-size: 90%;
|
||||
}
|
||||
|
||||
div.related h3 {
|
||||
display: none;
|
||||
}
|
||||
|
||||
div.related ul {
|
||||
margin: 0;
|
||||
padding: 0 0 0 10px;
|
||||
list-style: none;
|
||||
}
|
||||
|
||||
div.related li {
|
||||
display: inline;
|
||||
}
|
||||
|
||||
div.related li.right {
|
||||
float: right;
|
||||
margin-right: 5px;
|
||||
}
|
||||
|
||||
/* -- sidebar --------------------------------------------------------------- */
|
||||
|
||||
div.sphinxsidebarwrapper {
|
||||
padding: 10px 5px 0 10px;
|
||||
}
|
||||
|
||||
div.sphinxsidebar {
|
||||
float: left;
|
||||
width: 270px;
|
||||
margin-left: -100%;
|
||||
font-size: 90%;
|
||||
word-wrap: break-word;
|
||||
overflow-wrap : break-word;
|
||||
}
|
||||
|
||||
div.sphinxsidebar ul {
|
||||
list-style: none;
|
||||
}
|
||||
|
||||
div.sphinxsidebar ul ul,
|
||||
div.sphinxsidebar ul.want-points {
|
||||
margin-left: 20px;
|
||||
list-style: square;
|
||||
}
|
||||
|
||||
div.sphinxsidebar ul ul {
|
||||
margin-top: 0;
|
||||
margin-bottom: 0;
|
||||
}
|
||||
|
||||
div.sphinxsidebar form {
|
||||
margin-top: 10px;
|
||||
}
|
||||
|
||||
div.sphinxsidebar input {
|
||||
border: 1px solid #98dbcc;
|
||||
font-family: sans-serif;
|
||||
font-size: 1em;
|
||||
}
|
||||
|
||||
div.sphinxsidebar #searchbox form.search {
|
||||
overflow: hidden;
|
||||
}
|
||||
|
||||
div.sphinxsidebar #searchbox input[type="text"] {
|
||||
float: left;
|
||||
width: 80%;
|
||||
padding: 0.25em;
|
||||
box-sizing: border-box;
|
||||
}
|
||||
|
||||
div.sphinxsidebar #searchbox input[type="submit"] {
|
||||
float: left;
|
||||
width: 20%;
|
||||
border-left: none;
|
||||
padding: 0.25em;
|
||||
box-sizing: border-box;
|
||||
}
|
||||
|
||||
|
||||
img {
|
||||
border: 0;
|
||||
max-width: 100%;
|
||||
}
|
||||
|
||||
/* -- search page ----------------------------------------------------------- */
|
||||
|
||||
ul.search {
|
||||
margin: 10px 0 0 20px;
|
||||
padding: 0;
|
||||
}
|
||||
|
||||
ul.search li {
|
||||
padding: 5px 0 5px 20px;
|
||||
background-image: url(file.png);
|
||||
background-repeat: no-repeat;
|
||||
background-position: 0 7px;
|
||||
}
|
||||
|
||||
ul.search li a {
|
||||
font-weight: bold;
|
||||
}
|
||||
|
||||
ul.search li p.context {
|
||||
color: #888;
|
||||
margin: 2px 0 0 30px;
|
||||
text-align: left;
|
||||
}
|
||||
|
||||
ul.keywordmatches li.goodmatch a {
|
||||
font-weight: bold;
|
||||
}
|
||||
|
||||
/* -- index page ------------------------------------------------------------ */
|
||||
|
||||
table.contentstable {
|
||||
width: 90%;
|
||||
margin-left: auto;
|
||||
margin-right: auto;
|
||||
}
|
||||
|
||||
table.contentstable p.biglink {
|
||||
line-height: 150%;
|
||||
}
|
||||
|
||||
a.biglink {
|
||||
font-size: 1.3em;
|
||||
}
|
||||
|
||||
span.linkdescr {
|
||||
font-style: italic;
|
||||
padding-top: 5px;
|
||||
font-size: 90%;
|
||||
}
|
||||
|
||||
/* -- general index --------------------------------------------------------- */
|
||||
|
||||
table.indextable {
|
||||
width: 100%;
|
||||
}
|
||||
|
||||
table.indextable td {
|
||||
text-align: left;
|
||||
vertical-align: top;
|
||||
}
|
||||
|
||||
table.indextable ul {
|
||||
margin-top: 0;
|
||||
margin-bottom: 0;
|
||||
list-style-type: none;
|
||||
}
|
||||
|
||||
table.indextable > tbody > tr > td > ul {
|
||||
padding-left: 0em;
|
||||
}
|
||||
|
||||
table.indextable tr.pcap {
|
||||
height: 10px;
|
||||
}
|
||||
|
||||
table.indextable tr.cap {
|
||||
margin-top: 10px;
|
||||
background-color: #f2f2f2;
|
||||
}
|
||||
|
||||
img.toggler {
|
||||
margin-right: 3px;
|
||||
margin-top: 3px;
|
||||
cursor: pointer;
|
||||
}
|
||||
|
||||
div.modindex-jumpbox {
|
||||
border-top: 1px solid #ddd;
|
||||
border-bottom: 1px solid #ddd;
|
||||
margin: 1em 0 1em 0;
|
||||
padding: 0.4em;
|
||||
}
|
||||
|
||||
div.genindex-jumpbox {
|
||||
border-top: 1px solid #ddd;
|
||||
border-bottom: 1px solid #ddd;
|
||||
margin: 1em 0 1em 0;
|
||||
padding: 0.4em;
|
||||
}
|
||||
|
||||
/* -- domain module index --------------------------------------------------- */
|
||||
|
||||
table.modindextable td {
|
||||
padding: 2px;
|
||||
border-collapse: collapse;
|
||||
}
|
||||
|
||||
/* -- general body styles --------------------------------------------------- */
|
||||
|
||||
div.body {
|
||||
min-width: 360px;
|
||||
max-width: 800px;
|
||||
}
|
||||
|
||||
div.body p, div.body dd, div.body li, div.body blockquote {
|
||||
-moz-hyphens: auto;
|
||||
-ms-hyphens: auto;
|
||||
-webkit-hyphens: auto;
|
||||
hyphens: auto;
|
||||
}
|
||||
|
||||
a.headerlink {
|
||||
visibility: hidden;
|
||||
}
|
||||
|
||||
a:visited {
|
||||
color: #551A8B;
|
||||
}
|
||||
|
||||
h1:hover > a.headerlink,
|
||||
h2:hover > a.headerlink,
|
||||
h3:hover > a.headerlink,
|
||||
h4:hover > a.headerlink,
|
||||
h5:hover > a.headerlink,
|
||||
h6:hover > a.headerlink,
|
||||
dt:hover > a.headerlink,
|
||||
caption:hover > a.headerlink,
|
||||
p.caption:hover > a.headerlink,
|
||||
div.code-block-caption:hover > a.headerlink {
|
||||
visibility: visible;
|
||||
}
|
||||
|
||||
div.body p.caption {
|
||||
text-align: inherit;
|
||||
}
|
||||
|
||||
div.body td {
|
||||
text-align: left;
|
||||
}
|
||||
|
||||
.first {
|
||||
margin-top: 0 !important;
|
||||
}
|
||||
|
||||
p.rubric {
|
||||
margin-top: 30px;
|
||||
font-weight: bold;
|
||||
}
|
||||
|
||||
img.align-left, figure.align-left, .figure.align-left, object.align-left {
|
||||
clear: left;
|
||||
float: left;
|
||||
margin-right: 1em;
|
||||
}
|
||||
|
||||
img.align-right, figure.align-right, .figure.align-right, object.align-right {
|
||||
clear: right;
|
||||
float: right;
|
||||
margin-left: 1em;
|
||||
}
|
||||
|
||||
img.align-center, figure.align-center, .figure.align-center, object.align-center {
|
||||
display: block;
|
||||
margin-left: auto;
|
||||
margin-right: auto;
|
||||
}
|
||||
|
||||
img.align-default, figure.align-default, .figure.align-default {
|
||||
display: block;
|
||||
margin-left: auto;
|
||||
margin-right: auto;
|
||||
}
|
||||
|
||||
.align-left {
|
||||
text-align: left;
|
||||
}
|
||||
|
||||
.align-center {
|
||||
text-align: center;
|
||||
}
|
||||
|
||||
.align-default {
|
||||
text-align: center;
|
||||
}
|
||||
|
||||
.align-right {
|
||||
text-align: right;
|
||||
}
|
||||
|
||||
/* -- sidebars -------------------------------------------------------------- */
|
||||
|
||||
div.sidebar,
|
||||
aside.sidebar {
|
||||
margin: 0 0 0.5em 1em;
|
||||
border: 1px solid #ddb;
|
||||
padding: 7px;
|
||||
background-color: #ffe;
|
||||
width: 40%;
|
||||
float: right;
|
||||
clear: right;
|
||||
overflow-x: auto;
|
||||
}
|
||||
|
||||
p.sidebar-title {
|
||||
font-weight: bold;
|
||||
}
|
||||
|
||||
nav.contents,
|
||||
aside.topic,
|
||||
div.admonition, div.topic, blockquote {
|
||||
clear: left;
|
||||
}
|
||||
|
||||
/* -- topics ---------------------------------------------------------------- */
|
||||
|
||||
nav.contents,
|
||||
aside.topic,
|
||||
div.topic {
|
||||
border: 1px solid #ccc;
|
||||
padding: 7px;
|
||||
margin: 10px 0 10px 0;
|
||||
}
|
||||
|
||||
p.topic-title {
|
||||
font-size: 1.1em;
|
||||
font-weight: bold;
|
||||
margin-top: 10px;
|
||||
}
|
||||
|
||||
/* -- admonitions ----------------------------------------------------------- */
|
||||
|
||||
div.admonition {
|
||||
margin-top: 10px;
|
||||
margin-bottom: 10px;
|
||||
padding: 7px;
|
||||
}
|
||||
|
||||
div.admonition dt {
|
||||
font-weight: bold;
|
||||
}
|
||||
|
||||
p.admonition-title {
|
||||
margin: 0px 10px 5px 0px;
|
||||
font-weight: bold;
|
||||
}
|
||||
|
||||
div.body p.centered {
|
||||
text-align: center;
|
||||
margin-top: 25px;
|
||||
}
|
||||
|
||||
/* -- content of sidebars/topics/admonitions -------------------------------- */
|
||||
|
||||
div.sidebar > :last-child,
|
||||
aside.sidebar > :last-child,
|
||||
nav.contents > :last-child,
|
||||
aside.topic > :last-child,
|
||||
div.topic > :last-child,
|
||||
div.admonition > :last-child {
|
||||
margin-bottom: 0;
|
||||
}
|
||||
|
||||
div.sidebar::after,
|
||||
aside.sidebar::after,
|
||||
nav.contents::after,
|
||||
aside.topic::after,
|
||||
div.topic::after,
|
||||
div.admonition::after,
|
||||
blockquote::after {
|
||||
display: block;
|
||||
content: '';
|
||||
clear: both;
|
||||
}
|
||||
|
||||
/* -- tables ---------------------------------------------------------------- */
|
||||
|
||||
table.docutils {
|
||||
margin-top: 10px;
|
||||
margin-bottom: 10px;
|
||||
border: 0;
|
||||
border-collapse: collapse;
|
||||
}
|
||||
|
||||
table.align-center {
|
||||
margin-left: auto;
|
||||
margin-right: auto;
|
||||
}
|
||||
|
||||
table.align-default {
|
||||
margin-left: auto;
|
||||
margin-right: auto;
|
||||
}
|
||||
|
||||
table caption span.caption-number {
|
||||
font-style: italic;
|
||||
}
|
||||
|
||||
table caption span.caption-text {
|
||||
}
|
||||
|
||||
table.docutils td, table.docutils th {
|
||||
padding: 1px 8px 1px 5px;
|
||||
border-top: 0;
|
||||
border-left: 0;
|
||||
border-right: 0;
|
||||
border-bottom: 1px solid #aaa;
|
||||
}
|
||||
|
||||
th {
|
||||
text-align: left;
|
||||
padding-right: 5px;
|
||||
}
|
||||
|
||||
table.citation {
|
||||
border-left: solid 1px gray;
|
||||
margin-left: 1px;
|
||||
}
|
||||
|
||||
table.citation td {
|
||||
border-bottom: none;
|
||||
}
|
||||
|
||||
th > :first-child,
|
||||
td > :first-child {
|
||||
margin-top: 0px;
|
||||
}
|
||||
|
||||
th > :last-child,
|
||||
td > :last-child {
|
||||
margin-bottom: 0px;
|
||||
}
|
||||
|
||||
/* -- figures --------------------------------------------------------------- */
|
||||
|
||||
div.figure, figure {
|
||||
margin: 0.5em;
|
||||
padding: 0.5em;
|
||||
}
|
||||
|
||||
div.figure p.caption, figcaption {
|
||||
padding: 0.3em;
|
||||
}
|
||||
|
||||
div.figure p.caption span.caption-number,
|
||||
figcaption span.caption-number {
|
||||
font-style: italic;
|
||||
}
|
||||
|
||||
div.figure p.caption span.caption-text,
|
||||
figcaption span.caption-text {
|
||||
}
|
||||
|
||||
/* -- field list styles ----------------------------------------------------- */
|
||||
|
||||
table.field-list td, table.field-list th {
|
||||
border: 0 !important;
|
||||
}
|
||||
|
||||
.field-list ul {
|
||||
margin: 0;
|
||||
padding-left: 1em;
|
||||
}
|
||||
|
||||
.field-list p {
|
||||
margin: 0;
|
||||
}
|
||||
|
||||
.field-name {
|
||||
-moz-hyphens: manual;
|
||||
-ms-hyphens: manual;
|
||||
-webkit-hyphens: manual;
|
||||
hyphens: manual;
|
||||
}
|
||||
|
||||
/* -- hlist styles ---------------------------------------------------------- */
|
||||
|
||||
table.hlist {
|
||||
margin: 1em 0;
|
||||
}
|
||||
|
||||
table.hlist td {
|
||||
vertical-align: top;
|
||||
}
|
||||
|
||||
/* -- object description styles --------------------------------------------- */
|
||||
|
||||
.sig {
|
||||
font-family: 'Consolas', 'Menlo', 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', monospace;
|
||||
}
|
||||
|
||||
.sig-name, code.descname {
|
||||
background-color: transparent;
|
||||
font-weight: bold;
|
||||
}
|
||||
|
||||
.sig-name {
|
||||
font-size: 1.1em;
|
||||
}
|
||||
|
||||
code.descname {
|
||||
font-size: 1.2em;
|
||||
}
|
||||
|
||||
.sig-prename, code.descclassname {
|
||||
background-color: transparent;
|
||||
}
|
||||
|
||||
.optional {
|
||||
font-size: 1.3em;
|
||||
}
|
||||
|
||||
.sig-paren {
|
||||
font-size: larger;
|
||||
}
|
||||
|
||||
.sig-param.n {
|
||||
font-style: italic;
|
||||
}
|
||||
|
||||
/* C++ specific styling */
|
||||
|
||||
.sig-inline.c-texpr,
|
||||
.sig-inline.cpp-texpr {
|
||||
font-family: unset;
|
||||
}
|
||||
|
||||
.sig.c .k, .sig.c .kt,
|
||||
.sig.cpp .k, .sig.cpp .kt {
|
||||
color: #0033B3;
|
||||
}
|
||||
|
||||
.sig.c .m,
|
||||
.sig.cpp .m {
|
||||
color: #1750EB;
|
||||
}
|
||||
|
||||
.sig.c .s, .sig.c .sc,
|
||||
.sig.cpp .s, .sig.cpp .sc {
|
||||
color: #067D17;
|
||||
}
|
||||
|
||||
|
||||
/* -- other body styles ----------------------------------------------------- */
|
||||
|
||||
ol.arabic {
|
||||
list-style: decimal;
|
||||
}
|
||||
|
||||
ol.loweralpha {
|
||||
list-style: lower-alpha;
|
||||
}
|
||||
|
||||
ol.upperalpha {
|
||||
list-style: upper-alpha;
|
||||
}
|
||||
|
||||
ol.lowerroman {
|
||||
list-style: lower-roman;
|
||||
}
|
||||
|
||||
ol.upperroman {
|
||||
list-style: upper-roman;
|
||||
}
|
||||
|
||||
:not(li) > ol > li:first-child > :first-child,
|
||||
:not(li) > ul > li:first-child > :first-child {
|
||||
margin-top: 0px;
|
||||
}
|
||||
|
||||
:not(li) > ol > li:last-child > :last-child,
|
||||
:not(li) > ul > li:last-child > :last-child {
|
||||
margin-bottom: 0px;
|
||||
}
|
||||
|
||||
ol.simple ol p,
|
||||
ol.simple ul p,
|
||||
ul.simple ol p,
|
||||
ul.simple ul p {
|
||||
margin-top: 0;
|
||||
}
|
||||
|
||||
ol.simple > li:not(:first-child) > p,
|
||||
ul.simple > li:not(:first-child) > p {
|
||||
margin-top: 0;
|
||||
}
|
||||
|
||||
ol.simple p,
|
||||
ul.simple p {
|
||||
margin-bottom: 0;
|
||||
}
|
||||
|
||||
aside.footnote > span,
|
||||
div.citation > span {
|
||||
float: left;
|
||||
}
|
||||
aside.footnote > span:last-of-type,
|
||||
div.citation > span:last-of-type {
|
||||
padding-right: 0.5em;
|
||||
}
|
||||
aside.footnote > p {
|
||||
margin-left: 2em;
|
||||
}
|
||||
div.citation > p {
|
||||
margin-left: 4em;
|
||||
}
|
||||
aside.footnote > p:last-of-type,
|
||||
div.citation > p:last-of-type {
|
||||
margin-bottom: 0em;
|
||||
}
|
||||
aside.footnote > p:last-of-type:after,
|
||||
div.citation > p:last-of-type:after {
|
||||
content: "";
|
||||
clear: both;
|
||||
}
|
||||
|
||||
dl.field-list {
|
||||
display: grid;
|
||||
grid-template-columns: fit-content(30%) auto;
|
||||
}
|
||||
|
||||
dl.field-list > dt {
|
||||
font-weight: bold;
|
||||
word-break: break-word;
|
||||
padding-left: 0.5em;
|
||||
padding-right: 5px;
|
||||
}
|
||||
|
||||
dl.field-list > dd {
|
||||
padding-left: 0.5em;
|
||||
margin-top: 0em;
|
||||
margin-left: 0em;
|
||||
margin-bottom: 0em;
|
||||
}
|
||||
|
||||
dl {
|
||||
margin-bottom: 15px;
|
||||
}
|
||||
|
||||
dd > :first-child {
|
||||
margin-top: 0px;
|
||||
}
|
||||
|
||||
dd ul, dd table {
|
||||
margin-bottom: 10px;
|
||||
}
|
||||
|
||||
dd {
|
||||
margin-top: 3px;
|
||||
margin-bottom: 10px;
|
||||
margin-left: 30px;
|
||||
}
|
||||
|
||||
.sig dd {
|
||||
margin-top: 0px;
|
||||
margin-bottom: 0px;
|
||||
}
|
||||
|
||||
.sig dl {
|
||||
margin-top: 0px;
|
||||
margin-bottom: 0px;
|
||||
}
|
||||
|
||||
dl > dd:last-child,
|
||||
dl > dd:last-child > :last-child {
|
||||
margin-bottom: 0;
|
||||
}
|
||||
|
||||
dt:target, span.highlighted {
|
||||
background-color: #fbe54e;
|
||||
}
|
||||
|
||||
rect.highlighted {
|
||||
fill: #fbe54e;
|
||||
}
|
||||
|
||||
dl.glossary dt {
|
||||
font-weight: bold;
|
||||
font-size: 1.1em;
|
||||
}
|
||||
|
||||
.versionmodified {
|
||||
font-style: italic;
|
||||
}
|
||||
|
||||
.system-message {
|
||||
background-color: #fda;
|
||||
padding: 5px;
|
||||
border: 3px solid red;
|
||||
}
|
||||
|
||||
.footnote:target {
|
||||
background-color: #ffa;
|
||||
}
|
||||
|
||||
.line-block {
|
||||
display: block;
|
||||
margin-top: 1em;
|
||||
margin-bottom: 1em;
|
||||
}
|
||||
|
||||
.line-block .line-block {
|
||||
margin-top: 0;
|
||||
margin-bottom: 0;
|
||||
margin-left: 1.5em;
|
||||
}
|
||||
|
||||
.guilabel, .menuselection {
|
||||
font-family: sans-serif;
|
||||
}
|
||||
|
||||
.accelerator {
|
||||
text-decoration: underline;
|
||||
}
|
||||
|
||||
.classifier {
|
||||
font-style: oblique;
|
||||
}
|
||||
|
||||
.classifier:before {
|
||||
font-style: normal;
|
||||
margin: 0 0.5em;
|
||||
content: ":";
|
||||
display: inline-block;
|
||||
}
|
||||
|
||||
abbr, acronym {
|
||||
border-bottom: dotted 1px;
|
||||
cursor: help;
|
||||
}
|
||||
|
||||
.translated {
|
||||
background-color: rgba(207, 255, 207, 0.2)
|
||||
}
|
||||
|
||||
.untranslated {
|
||||
background-color: rgba(255, 207, 207, 0.2)
|
||||
}
|
||||
|
||||
/* -- code displays --------------------------------------------------------- */
|
||||
|
||||
pre {
|
||||
overflow: auto;
|
||||
overflow-y: hidden; /* fixes display issues on Chrome browsers */
|
||||
}
|
||||
|
||||
pre, div[class*="highlight-"] {
|
||||
clear: both;
|
||||
}
|
||||
|
||||
span.pre {
|
||||
-moz-hyphens: none;
|
||||
-ms-hyphens: none;
|
||||
-webkit-hyphens: none;
|
||||
hyphens: none;
|
||||
white-space: nowrap;
|
||||
}
|
||||
|
||||
div[class*="highlight-"] {
|
||||
margin: 1em 0;
|
||||
}
|
||||
|
||||
td.linenos pre {
|
||||
border: 0;
|
||||
background-color: transparent;
|
||||
color: #aaa;
|
||||
}
|
||||
|
||||
table.highlighttable {
|
||||
display: block;
|
||||
}
|
||||
|
||||
table.highlighttable tbody {
|
||||
display: block;
|
||||
}
|
||||
|
||||
table.highlighttable tr {
|
||||
display: flex;
|
||||
}
|
||||
|
||||
table.highlighttable td {
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
}
|
||||
|
||||
table.highlighttable td.linenos {
|
||||
padding-right: 0.5em;
|
||||
}
|
||||
|
||||
table.highlighttable td.code {
|
||||
flex: 1;
|
||||
overflow: hidden;
|
||||
}
|
||||
|
||||
.highlight .hll {
|
||||
display: block;
|
||||
}
|
||||
|
||||
div.highlight pre,
|
||||
table.highlighttable pre {
|
||||
margin: 0;
|
||||
}
|
||||
|
||||
div.code-block-caption + div {
|
||||
margin-top: 0;
|
||||
}
|
||||
|
||||
div.code-block-caption {
|
||||
margin-top: 1em;
|
||||
padding: 2px 5px;
|
||||
font-size: small;
|
||||
}
|
||||
|
||||
div.code-block-caption code {
|
||||
background-color: transparent;
|
||||
}
|
||||
|
||||
table.highlighttable td.linenos,
|
||||
span.linenos,
|
||||
div.highlight span.gp { /* gp: Generic.Prompt */
|
||||
user-select: none;
|
||||
-webkit-user-select: text; /* Safari fallback only */
|
||||
-webkit-user-select: none; /* Chrome/Safari */
|
||||
-moz-user-select: none; /* Firefox */
|
||||
-ms-user-select: none; /* IE10+ */
|
||||
}
|
||||
|
||||
div.code-block-caption span.caption-number {
|
||||
padding: 0.1em 0.3em;
|
||||
font-style: italic;
|
||||
}
|
||||
|
||||
div.code-block-caption span.caption-text {
|
||||
}
|
||||
|
||||
div.literal-block-wrapper {
|
||||
margin: 1em 0;
|
||||
}
|
||||
|
||||
code.xref, a code {
|
||||
background-color: transparent;
|
||||
font-weight: bold;
|
||||
}
|
||||
|
||||
h1 code, h2 code, h3 code, h4 code, h5 code, h6 code {
|
||||
background-color: transparent;
|
||||
}
|
||||
|
||||
.viewcode-link {
|
||||
float: right;
|
||||
}
|
||||
|
||||
.viewcode-back {
|
||||
float: right;
|
||||
font-family: sans-serif;
|
||||
}
|
||||
|
||||
div.viewcode-block:target {
|
||||
margin: -1px -10px;
|
||||
padding: 0 10px;
|
||||
}
|
||||
|
||||
/* -- math display ---------------------------------------------------------- */
|
||||
|
||||
img.math {
|
||||
vertical-align: middle;
|
||||
}
|
||||
|
||||
div.body div.math p {
|
||||
text-align: center;
|
||||
}
|
||||
|
||||
span.eqno {
|
||||
float: right;
|
||||
}
|
||||
|
||||
span.eqno a.headerlink {
|
||||
position: absolute;
|
||||
z-index: 1;
|
||||
}
|
||||
|
||||
div.math:hover a.headerlink {
|
||||
visibility: visible;
|
||||
}
|
||||
|
||||
/* -- printout stylesheet --------------------------------------------------- */
|
||||
|
||||
@media print {
|
||||
div.document,
|
||||
div.documentwrapper,
|
||||
div.bodywrapper {
|
||||
margin: 0 !important;
|
||||
width: 100%;
|
||||
}
|
||||
|
||||
div.sphinxsidebar,
|
||||
div.related,
|
||||
div.footer,
|
||||
#top-link {
|
||||
display: none;
|
||||
}
|
||||
}
|
||||
156
docs/build/html/_static/doctools.js
vendored
Normal file
156
docs/build/html/_static/doctools.js
vendored
Normal file
@ -0,0 +1,156 @@
|
||||
/*
|
||||
* doctools.js
|
||||
* ~~~~~~~~~~~
|
||||
*
|
||||
* Base JavaScript utilities for all Sphinx HTML documentation.
|
||||
*
|
||||
* :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS.
|
||||
* :license: BSD, see LICENSE for details.
|
||||
*
|
||||
*/
|
||||
"use strict";
|
||||
|
||||
const BLACKLISTED_KEY_CONTROL_ELEMENTS = new Set([
|
||||
"TEXTAREA",
|
||||
"INPUT",
|
||||
"SELECT",
|
||||
"BUTTON",
|
||||
]);
|
||||
|
||||
const _ready = (callback) => {
|
||||
if (document.readyState !== "loading") {
|
||||
callback();
|
||||
} else {
|
||||
document.addEventListener("DOMContentLoaded", callback);
|
||||
}
|
||||
};
|
||||
|
||||
/**
|
||||
* Small JavaScript module for the documentation.
|
||||
*/
|
||||
const Documentation = {
|
||||
init: () => {
|
||||
Documentation.initDomainIndexTable();
|
||||
Documentation.initOnKeyListeners();
|
||||
},
|
||||
|
||||
/**
|
||||
* i18n support
|
||||
*/
|
||||
TRANSLATIONS: {},
|
||||
PLURAL_EXPR: (n) => (n === 1 ? 0 : 1),
|
||||
LOCALE: "unknown",
|
||||
|
||||
// gettext and ngettext don't access this so that the functions
|
||||
// can safely bound to a different name (_ = Documentation.gettext)
|
||||
gettext: (string) => {
|
||||
const translated = Documentation.TRANSLATIONS[string];
|
||||
switch (typeof translated) {
|
||||
case "undefined":
|
||||
return string; // no translation
|
||||
case "string":
|
||||
return translated; // translation exists
|
||||
default:
|
||||
return translated[0]; // (singular, plural) translation tuple exists
|
||||
}
|
||||
},
|
||||
|
||||
ngettext: (singular, plural, n) => {
|
||||
const translated = Documentation.TRANSLATIONS[singular];
|
||||
if (typeof translated !== "undefined")
|
||||
return translated[Documentation.PLURAL_EXPR(n)];
|
||||
return n === 1 ? singular : plural;
|
||||
},
|
||||
|
||||
addTranslations: (catalog) => {
|
||||
Object.assign(Documentation.TRANSLATIONS, catalog.messages);
|
||||
Documentation.PLURAL_EXPR = new Function(
|
||||
"n",
|
||||
`return (${catalog.plural_expr})`
|
||||
);
|
||||
Documentation.LOCALE = catalog.locale;
|
||||
},
|
||||
|
||||
/**
|
||||
* helper function to focus on search bar
|
||||
*/
|
||||
focusSearchBar: () => {
|
||||
document.querySelectorAll("input[name=q]")[0]?.focus();
|
||||
},
|
||||
|
||||
/**
|
||||
* Initialise the domain index toggle buttons
|
||||
*/
|
||||
initDomainIndexTable: () => {
|
||||
const toggler = (el) => {
|
||||
const idNumber = el.id.substr(7);
|
||||
const toggledRows = document.querySelectorAll(`tr.cg-${idNumber}`);
|
||||
if (el.src.substr(-9) === "minus.png") {
|
||||
el.src = `${el.src.substr(0, el.src.length - 9)}plus.png`;
|
||||
toggledRows.forEach((el) => (el.style.display = "none"));
|
||||
} else {
|
||||
el.src = `${el.src.substr(0, el.src.length - 8)}minus.png`;
|
||||
toggledRows.forEach((el) => (el.style.display = ""));
|
||||
}
|
||||
};
|
||||
|
||||
const togglerElements = document.querySelectorAll("img.toggler");
|
||||
togglerElements.forEach((el) =>
|
||||
el.addEventListener("click", (event) => toggler(event.currentTarget))
|
||||
);
|
||||
togglerElements.forEach((el) => (el.style.display = ""));
|
||||
if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) togglerElements.forEach(toggler);
|
||||
},
|
||||
|
||||
initOnKeyListeners: () => {
|
||||
// only install a listener if it is really needed
|
||||
if (
|
||||
!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS &&
|
||||
!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS
|
||||
)
|
||||
return;
|
||||
|
||||
document.addEventListener("keydown", (event) => {
|
||||
// bail for input elements
|
||||
if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return;
|
||||
// bail with special keys
|
||||
if (event.altKey || event.ctrlKey || event.metaKey) return;
|
||||
|
||||
if (!event.shiftKey) {
|
||||
switch (event.key) {
|
||||
case "ArrowLeft":
|
||||
if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break;
|
||||
|
||||
const prevLink = document.querySelector('link[rel="prev"]');
|
||||
if (prevLink && prevLink.href) {
|
||||
window.location.href = prevLink.href;
|
||||
event.preventDefault();
|
||||
}
|
||||
break;
|
||||
case "ArrowRight":
|
||||
if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break;
|
||||
|
||||
const nextLink = document.querySelector('link[rel="next"]');
|
||||
if (nextLink && nextLink.href) {
|
||||
window.location.href = nextLink.href;
|
||||
event.preventDefault();
|
||||
}
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
// some keyboard layouts may need Shift to get /
|
||||
switch (event.key) {
|
||||
case "/":
|
||||
if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) break;
|
||||
Documentation.focusSearchBar();
|
||||
event.preventDefault();
|
||||
}
|
||||
});
|
||||
},
|
||||
};
|
||||
|
||||
// quick alias for translations
|
||||
const _ = Documentation.gettext;
|
||||
|
||||
_ready(Documentation.init);
|
||||
13
docs/build/html/_static/documentation_options.js
vendored
Normal file
13
docs/build/html/_static/documentation_options.js
vendored
Normal file
@ -0,0 +1,13 @@
|
||||
const DOCUMENTATION_OPTIONS = {
|
||||
VERSION: '2.5.1',
|
||||
LANGUAGE: 'en',
|
||||
COLLAPSE_INDEX: false,
|
||||
BUILDER: 'html',
|
||||
FILE_SUFFIX: '.html',
|
||||
LINK_SUFFIX: '.html',
|
||||
HAS_SOURCE: true,
|
||||
SOURCELINK_SUFFIX: '.txt',
|
||||
NAVIGATION_WITH_KEYS: false,
|
||||
SHOW_SEARCH_SUMMARY: true,
|
||||
ENABLE_SEARCH_SHORTCUTS: true,
|
||||
};
|
||||
BIN
docs/build/html/_static/file.png
vendored
Normal file
BIN
docs/build/html/_static/file.png
vendored
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 286 B |
199
docs/build/html/_static/language_data.js
vendored
Normal file
199
docs/build/html/_static/language_data.js
vendored
Normal file
@ -0,0 +1,199 @@
|
||||
/*
|
||||
* language_data.js
|
||||
* ~~~~~~~~~~~~~~~~
|
||||
*
|
||||
* This script contains the language-specific data used by searchtools.js,
|
||||
* namely the list of stopwords, stemmer, scorer and splitter.
|
||||
*
|
||||
* :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS.
|
||||
* :license: BSD, see LICENSE for details.
|
||||
*
|
||||
*/
|
||||
|
||||
var stopwords = ["a", "and", "are", "as", "at", "be", "but", "by", "for", "if", "in", "into", "is", "it", "near", "no", "not", "of", "on", "or", "such", "that", "the", "their", "then", "there", "these", "they", "this", "to", "was", "will", "with"];
|
||||
|
||||
|
||||
/* Non-minified version is copied as a separate JS file, if available */
|
||||
|
||||
/**
|
||||
* Porter Stemmer
|
||||
*/
|
||||
var Stemmer = function() {
|
||||
|
||||
var step2list = {
|
||||
ational: 'ate',
|
||||
tional: 'tion',
|
||||
enci: 'ence',
|
||||
anci: 'ance',
|
||||
izer: 'ize',
|
||||
bli: 'ble',
|
||||
alli: 'al',
|
||||
entli: 'ent',
|
||||
eli: 'e',
|
||||
ousli: 'ous',
|
||||
ization: 'ize',
|
||||
ation: 'ate',
|
||||
ator: 'ate',
|
||||
alism: 'al',
|
||||
iveness: 'ive',
|
||||
fulness: 'ful',
|
||||
ousness: 'ous',
|
||||
aliti: 'al',
|
||||
iviti: 'ive',
|
||||
biliti: 'ble',
|
||||
logi: 'log'
|
||||
};
|
||||
|
||||
var step3list = {
|
||||
icate: 'ic',
|
||||
ative: '',
|
||||
alize: 'al',
|
||||
iciti: 'ic',
|
||||
ical: 'ic',
|
||||
ful: '',
|
||||
ness: ''
|
||||
};
|
||||
|
||||
var c = "[^aeiou]"; // consonant
|
||||
var v = "[aeiouy]"; // vowel
|
||||
var C = c + "[^aeiouy]*"; // consonant sequence
|
||||
var V = v + "[aeiou]*"; // vowel sequence
|
||||
|
||||
var mgr0 = "^(" + C + ")?" + V + C; // [C]VC... is m>0
|
||||
var meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$"; // [C]VC[V] is m=1
|
||||
var mgr1 = "^(" + C + ")?" + V + C + V + C; // [C]VCVC... is m>1
|
||||
var s_v = "^(" + C + ")?" + v; // vowel in stem
|
||||
|
||||
this.stemWord = function (w) {
|
||||
var stem;
|
||||
var suffix;
|
||||
var firstch;
|
||||
var origword = w;
|
||||
|
||||
if (w.length < 3)
|
||||
return w;
|
||||
|
||||
var re;
|
||||
var re2;
|
||||
var re3;
|
||||
var re4;
|
||||
|
||||
firstch = w.substr(0,1);
|
||||
if (firstch == "y")
|
||||
w = firstch.toUpperCase() + w.substr(1);
|
||||
|
||||
// Step 1a
|
||||
re = /^(.+?)(ss|i)es$/;
|
||||
re2 = /^(.+?)([^s])s$/;
|
||||
|
||||
if (re.test(w))
|
||||
w = w.replace(re,"$1$2");
|
||||
else if (re2.test(w))
|
||||
w = w.replace(re2,"$1$2");
|
||||
|
||||
// Step 1b
|
||||
re = /^(.+?)eed$/;
|
||||
re2 = /^(.+?)(ed|ing)$/;
|
||||
if (re.test(w)) {
|
||||
var fp = re.exec(w);
|
||||
re = new RegExp(mgr0);
|
||||
if (re.test(fp[1])) {
|
||||
re = /.$/;
|
||||
w = w.replace(re,"");
|
||||
}
|
||||
}
|
||||
else if (re2.test(w)) {
|
||||
var fp = re2.exec(w);
|
||||
stem = fp[1];
|
||||
re2 = new RegExp(s_v);
|
||||
if (re2.test(stem)) {
|
||||
w = stem;
|
||||
re2 = /(at|bl|iz)$/;
|
||||
re3 = new RegExp("([^aeiouylsz])\\1$");
|
||||
re4 = new RegExp("^" + C + v + "[^aeiouwxy]$");
|
||||
if (re2.test(w))
|
||||
w = w + "e";
|
||||
else if (re3.test(w)) {
|
||||
re = /.$/;
|
||||
w = w.replace(re,"");
|
||||
}
|
||||
else if (re4.test(w))
|
||||
w = w + "e";
|
||||
}
|
||||
}
|
||||
|
||||
// Step 1c
|
||||
re = /^(.+?)y$/;
|
||||
if (re.test(w)) {
|
||||
var fp = re.exec(w);
|
||||
stem = fp[1];
|
||||
re = new RegExp(s_v);
|
||||
if (re.test(stem))
|
||||
w = stem + "i";
|
||||
}
|
||||
|
||||
// Step 2
|
||||
re = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/;
|
||||
if (re.test(w)) {
|
||||
var fp = re.exec(w);
|
||||
stem = fp[1];
|
||||
suffix = fp[2];
|
||||
re = new RegExp(mgr0);
|
||||
if (re.test(stem))
|
||||
w = stem + step2list[suffix];
|
||||
}
|
||||
|
||||
// Step 3
|
||||
re = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/;
|
||||
if (re.test(w)) {
|
||||
var fp = re.exec(w);
|
||||
stem = fp[1];
|
||||
suffix = fp[2];
|
||||
re = new RegExp(mgr0);
|
||||
if (re.test(stem))
|
||||
w = stem + step3list[suffix];
|
||||
}
|
||||
|
||||
// Step 4
|
||||
re = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/;
|
||||
re2 = /^(.+?)(s|t)(ion)$/;
|
||||
if (re.test(w)) {
|
||||
var fp = re.exec(w);
|
||||
stem = fp[1];
|
||||
re = new RegExp(mgr1);
|
||||
if (re.test(stem))
|
||||
w = stem;
|
||||
}
|
||||
else if (re2.test(w)) {
|
||||
var fp = re2.exec(w);
|
||||
stem = fp[1] + fp[2];
|
||||
re2 = new RegExp(mgr1);
|
||||
if (re2.test(stem))
|
||||
w = stem;
|
||||
}
|
||||
|
||||
// Step 5
|
||||
re = /^(.+?)e$/;
|
||||
if (re.test(w)) {
|
||||
var fp = re.exec(w);
|
||||
stem = fp[1];
|
||||
re = new RegExp(mgr1);
|
||||
re2 = new RegExp(meq1);
|
||||
re3 = new RegExp("^" + C + v + "[^aeiouwxy]$");
|
||||
if (re.test(stem) || (re2.test(stem) && !(re3.test(stem))))
|
||||
w = stem;
|
||||
}
|
||||
re = /ll$/;
|
||||
re2 = new RegExp(mgr1);
|
||||
if (re.test(w) && re2.test(w)) {
|
||||
re = /.$/;
|
||||
w = w.replace(re,"");
|
||||
}
|
||||
|
||||
// and turn initial Y back to y
|
||||
if (firstch == "y")
|
||||
w = firstch.toLowerCase() + w.substr(1);
|
||||
return w;
|
||||
}
|
||||
}
|
||||
|
||||
BIN
docs/build/html/_static/logo.png
vendored
Normal file
BIN
docs/build/html/_static/logo.png
vendored
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 30 KiB |
BIN
docs/build/html/_static/minus.png
vendored
Normal file
BIN
docs/build/html/_static/minus.png
vendored
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 90 B |
BIN
docs/build/html/_static/plus.png
vendored
Normal file
BIN
docs/build/html/_static/plus.png
vendored
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 90 B |
152
docs/build/html/_static/pygments.css
vendored
Normal file
152
docs/build/html/_static/pygments.css
vendored
Normal file
@ -0,0 +1,152 @@
|
||||
html[data-theme="light"] .highlight pre { line-height: 125%; }
|
||||
html[data-theme="light"] .highlight td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
|
||||
html[data-theme="light"] .highlight span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
|
||||
html[data-theme="light"] .highlight td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
|
||||
html[data-theme="light"] .highlight span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
|
||||
html[data-theme="light"] .highlight .hll { background-color: #7971292e }
|
||||
html[data-theme="light"] .highlight { background: #fefefe; color: #545454 }
|
||||
html[data-theme="light"] .highlight .c { color: #797129 } /* Comment */
|
||||
html[data-theme="light"] .highlight .err { color: #d91e18 } /* Error */
|
||||
html[data-theme="light"] .highlight .k { color: #7928a1 } /* Keyword */
|
||||
html[data-theme="light"] .highlight .l { color: #797129 } /* Literal */
|
||||
html[data-theme="light"] .highlight .n { color: #545454 } /* Name */
|
||||
html[data-theme="light"] .highlight .o { color: #008000 } /* Operator */
|
||||
html[data-theme="light"] .highlight .p { color: #545454 } /* Punctuation */
|
||||
html[data-theme="light"] .highlight .ch { color: #797129 } /* Comment.Hashbang */
|
||||
html[data-theme="light"] .highlight .cm { color: #797129 } /* Comment.Multiline */
|
||||
html[data-theme="light"] .highlight .cp { color: #797129 } /* Comment.Preproc */
|
||||
html[data-theme="light"] .highlight .cpf { color: #797129 } /* Comment.PreprocFile */
|
||||
html[data-theme="light"] .highlight .c1 { color: #797129 } /* Comment.Single */
|
||||
html[data-theme="light"] .highlight .cs { color: #797129 } /* Comment.Special */
|
||||
html[data-theme="light"] .highlight .gd { color: #007faa } /* Generic.Deleted */
|
||||
html[data-theme="light"] .highlight .ge { font-style: italic } /* Generic.Emph */
|
||||
html[data-theme="light"] .highlight .gh { color: #007faa } /* Generic.Heading */
|
||||
html[data-theme="light"] .highlight .gs { font-weight: bold } /* Generic.Strong */
|
||||
html[data-theme="light"] .highlight .gu { color: #007faa } /* Generic.Subheading */
|
||||
html[data-theme="light"] .highlight .kc { color: #7928a1 } /* Keyword.Constant */
|
||||
html[data-theme="light"] .highlight .kd { color: #7928a1 } /* Keyword.Declaration */
|
||||
html[data-theme="light"] .highlight .kn { color: #7928a1 } /* Keyword.Namespace */
|
||||
html[data-theme="light"] .highlight .kp { color: #7928a1 } /* Keyword.Pseudo */
|
||||
html[data-theme="light"] .highlight .kr { color: #7928a1 } /* Keyword.Reserved */
|
||||
html[data-theme="light"] .highlight .kt { color: #797129 } /* Keyword.Type */
|
||||
html[data-theme="light"] .highlight .ld { color: #797129 } /* Literal.Date */
|
||||
html[data-theme="light"] .highlight .m { color: #797129 } /* Literal.Number */
|
||||
html[data-theme="light"] .highlight .s { color: #008000 } /* Literal.String */
|
||||
html[data-theme="light"] .highlight .na { color: #797129 } /* Name.Attribute */
|
||||
html[data-theme="light"] .highlight .nb { color: #797129 } /* Name.Builtin */
|
||||
html[data-theme="light"] .highlight .nc { color: #007faa } /* Name.Class */
|
||||
html[data-theme="light"] .highlight .no { color: #007faa } /* Name.Constant */
|
||||
html[data-theme="light"] .highlight .nd { color: #797129 } /* Name.Decorator */
|
||||
html[data-theme="light"] .highlight .ni { color: #008000 } /* Name.Entity */
|
||||
html[data-theme="light"] .highlight .ne { color: #7928a1 } /* Name.Exception */
|
||||
html[data-theme="light"] .highlight .nf { color: #007faa } /* Name.Function */
|
||||
html[data-theme="light"] .highlight .nl { color: #797129 } /* Name.Label */
|
||||
html[data-theme="light"] .highlight .nn { color: #545454 } /* Name.Namespace */
|
||||
html[data-theme="light"] .highlight .nx { color: #545454 } /* Name.Other */
|
||||
html[data-theme="light"] .highlight .py { color: #007faa } /* Name.Property */
|
||||
html[data-theme="light"] .highlight .nt { color: #007faa } /* Name.Tag */
|
||||
html[data-theme="light"] .highlight .nv { color: #d91e18 } /* Name.Variable */
|
||||
html[data-theme="light"] .highlight .ow { color: #7928a1 } /* Operator.Word */
|
||||
html[data-theme="light"] .highlight .pm { color: #545454 } /* Punctuation.Marker */
|
||||
html[data-theme="light"] .highlight .w { color: #545454 } /* Text.Whitespace */
|
||||
html[data-theme="light"] .highlight .mb { color: #797129 } /* Literal.Number.Bin */
|
||||
html[data-theme="light"] .highlight .mf { color: #797129 } /* Literal.Number.Float */
|
||||
html[data-theme="light"] .highlight .mh { color: #797129 } /* Literal.Number.Hex */
|
||||
html[data-theme="light"] .highlight .mi { color: #797129 } /* Literal.Number.Integer */
|
||||
html[data-theme="light"] .highlight .mo { color: #797129 } /* Literal.Number.Oct */
|
||||
html[data-theme="light"] .highlight .sa { color: #008000 } /* Literal.String.Affix */
|
||||
html[data-theme="light"] .highlight .sb { color: #008000 } /* Literal.String.Backtick */
|
||||
html[data-theme="light"] .highlight .sc { color: #008000 } /* Literal.String.Char */
|
||||
html[data-theme="light"] .highlight .dl { color: #008000 } /* Literal.String.Delimiter */
|
||||
html[data-theme="light"] .highlight .sd { color: #008000 } /* Literal.String.Doc */
|
||||
html[data-theme="light"] .highlight .s2 { color: #008000 } /* Literal.String.Double */
|
||||
html[data-theme="light"] .highlight .se { color: #008000 } /* Literal.String.Escape */
|
||||
html[data-theme="light"] .highlight .sh { color: #008000 } /* Literal.String.Heredoc */
|
||||
html[data-theme="light"] .highlight .si { color: #008000 } /* Literal.String.Interpol */
|
||||
html[data-theme="light"] .highlight .sx { color: #008000 } /* Literal.String.Other */
|
||||
html[data-theme="light"] .highlight .sr { color: #d91e18 } /* Literal.String.Regex */
|
||||
html[data-theme="light"] .highlight .s1 { color: #008000 } /* Literal.String.Single */
|
||||
html[data-theme="light"] .highlight .ss { color: #007faa } /* Literal.String.Symbol */
|
||||
html[data-theme="light"] .highlight .bp { color: #797129 } /* Name.Builtin.Pseudo */
|
||||
html[data-theme="light"] .highlight .fm { color: #007faa } /* Name.Function.Magic */
|
||||
html[data-theme="light"] .highlight .vc { color: #d91e18 } /* Name.Variable.Class */
|
||||
html[data-theme="light"] .highlight .vg { color: #d91e18 } /* Name.Variable.Global */
|
||||
html[data-theme="light"] .highlight .vi { color: #d91e18 } /* Name.Variable.Instance */
|
||||
html[data-theme="light"] .highlight .vm { color: #797129 } /* Name.Variable.Magic */
|
||||
html[data-theme="light"] .highlight .il { color: #797129 } /* Literal.Number.Integer.Long */
|
||||
html[data-theme="dark"] .highlight pre { line-height: 125%; }
|
||||
html[data-theme="dark"] .highlight td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
|
||||
html[data-theme="dark"] .highlight span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
|
||||
html[data-theme="dark"] .highlight td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
|
||||
html[data-theme="dark"] .highlight span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
|
||||
html[data-theme="dark"] .highlight .hll { background-color: #ffd9002e }
|
||||
html[data-theme="dark"] .highlight { background: #2b2b2b; color: #f8f8f2 }
|
||||
html[data-theme="dark"] .highlight .c { color: #ffd900 } /* Comment */
|
||||
html[data-theme="dark"] .highlight .err { color: #ffa07a } /* Error */
|
||||
html[data-theme="dark"] .highlight .k { color: #dcc6e0 } /* Keyword */
|
||||
html[data-theme="dark"] .highlight .l { color: #ffd900 } /* Literal */
|
||||
html[data-theme="dark"] .highlight .n { color: #f8f8f2 } /* Name */
|
||||
html[data-theme="dark"] .highlight .o { color: #abe338 } /* Operator */
|
||||
html[data-theme="dark"] .highlight .p { color: #f8f8f2 } /* Punctuation */
|
||||
html[data-theme="dark"] .highlight .ch { color: #ffd900 } /* Comment.Hashbang */
|
||||
html[data-theme="dark"] .highlight .cm { color: #ffd900 } /* Comment.Multiline */
|
||||
html[data-theme="dark"] .highlight .cp { color: #ffd900 } /* Comment.Preproc */
|
||||
html[data-theme="dark"] .highlight .cpf { color: #ffd900 } /* Comment.PreprocFile */
|
||||
html[data-theme="dark"] .highlight .c1 { color: #ffd900 } /* Comment.Single */
|
||||
html[data-theme="dark"] .highlight .cs { color: #ffd900 } /* Comment.Special */
|
||||
html[data-theme="dark"] .highlight .gd { color: #00e0e0 } /* Generic.Deleted */
|
||||
html[data-theme="dark"] .highlight .ge { font-style: italic } /* Generic.Emph */
|
||||
html[data-theme="dark"] .highlight .gh { color: #00e0e0 } /* Generic.Heading */
|
||||
html[data-theme="dark"] .highlight .gs { font-weight: bold } /* Generic.Strong */
|
||||
html[data-theme="dark"] .highlight .gu { color: #00e0e0 } /* Generic.Subheading */
|
||||
html[data-theme="dark"] .highlight .kc { color: #dcc6e0 } /* Keyword.Constant */
|
||||
html[data-theme="dark"] .highlight .kd { color: #dcc6e0 } /* Keyword.Declaration */
|
||||
html[data-theme="dark"] .highlight .kn { color: #dcc6e0 } /* Keyword.Namespace */
|
||||
html[data-theme="dark"] .highlight .kp { color: #dcc6e0 } /* Keyword.Pseudo */
|
||||
html[data-theme="dark"] .highlight .kr { color: #dcc6e0 } /* Keyword.Reserved */
|
||||
html[data-theme="dark"] .highlight .kt { color: #ffd900 } /* Keyword.Type */
|
||||
html[data-theme="dark"] .highlight .ld { color: #ffd900 } /* Literal.Date */
|
||||
html[data-theme="dark"] .highlight .m { color: #ffd900 } /* Literal.Number */
|
||||
html[data-theme="dark"] .highlight .s { color: #abe338 } /* Literal.String */
|
||||
html[data-theme="dark"] .highlight .na { color: #ffd900 } /* Name.Attribute */
|
||||
html[data-theme="dark"] .highlight .nb { color: #ffd900 } /* Name.Builtin */
|
||||
html[data-theme="dark"] .highlight .nc { color: #00e0e0 } /* Name.Class */
|
||||
html[data-theme="dark"] .highlight .no { color: #00e0e0 } /* Name.Constant */
|
||||
html[data-theme="dark"] .highlight .nd { color: #ffd900 } /* Name.Decorator */
|
||||
html[data-theme="dark"] .highlight .ni { color: #abe338 } /* Name.Entity */
|
||||
html[data-theme="dark"] .highlight .ne { color: #dcc6e0 } /* Name.Exception */
|
||||
html[data-theme="dark"] .highlight .nf { color: #00e0e0 } /* Name.Function */
|
||||
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|
||||
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|
||||
html[data-theme="dark"] .highlight .nx { color: #f8f8f2 } /* Name.Other */
|
||||
html[data-theme="dark"] .highlight .py { color: #00e0e0 } /* Name.Property */
|
||||
html[data-theme="dark"] .highlight .nt { color: #00e0e0 } /* Name.Tag */
|
||||
html[data-theme="dark"] .highlight .nv { color: #ffa07a } /* Name.Variable */
|
||||
html[data-theme="dark"] .highlight .ow { color: #dcc6e0 } /* Operator.Word */
|
||||
html[data-theme="dark"] .highlight .pm { color: #f8f8f2 } /* Punctuation.Marker */
|
||||
html[data-theme="dark"] .highlight .w { color: #f8f8f2 } /* Text.Whitespace */
|
||||
html[data-theme="dark"] .highlight .mb { color: #ffd900 } /* Literal.Number.Bin */
|
||||
html[data-theme="dark"] .highlight .mf { color: #ffd900 } /* Literal.Number.Float */
|
||||
html[data-theme="dark"] .highlight .mh { color: #ffd900 } /* Literal.Number.Hex */
|
||||
html[data-theme="dark"] .highlight .mi { color: #ffd900 } /* Literal.Number.Integer */
|
||||
html[data-theme="dark"] .highlight .mo { color: #ffd900 } /* Literal.Number.Oct */
|
||||
html[data-theme="dark"] .highlight .sa { color: #abe338 } /* Literal.String.Affix */
|
||||
html[data-theme="dark"] .highlight .sb { color: #abe338 } /* Literal.String.Backtick */
|
||||
html[data-theme="dark"] .highlight .sc { color: #abe338 } /* Literal.String.Char */
|
||||
html[data-theme="dark"] .highlight .dl { color: #abe338 } /* Literal.String.Delimiter */
|
||||
html[data-theme="dark"] .highlight .sd { color: #abe338 } /* Literal.String.Doc */
|
||||
html[data-theme="dark"] .highlight .s2 { color: #abe338 } /* Literal.String.Double */
|
||||
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|
||||
html[data-theme="dark"] .highlight .sh { color: #abe338 } /* Literal.String.Heredoc */
|
||||
html[data-theme="dark"] .highlight .si { color: #abe338 } /* Literal.String.Interpol */
|
||||
html[data-theme="dark"] .highlight .sx { color: #abe338 } /* Literal.String.Other */
|
||||
html[data-theme="dark"] .highlight .sr { color: #ffa07a } /* Literal.String.Regex */
|
||||
html[data-theme="dark"] .highlight .s1 { color: #abe338 } /* Literal.String.Single */
|
||||
html[data-theme="dark"] .highlight .ss { color: #00e0e0 } /* Literal.String.Symbol */
|
||||
html[data-theme="dark"] .highlight .bp { color: #ffd900 } /* Name.Builtin.Pseudo */
|
||||
html[data-theme="dark"] .highlight .fm { color: #00e0e0 } /* Name.Function.Magic */
|
||||
html[data-theme="dark"] .highlight .vc { color: #ffa07a } /* Name.Variable.Class */
|
||||
html[data-theme="dark"] .highlight .vg { color: #ffa07a } /* Name.Variable.Global */
|
||||
html[data-theme="dark"] .highlight .vi { color: #ffa07a } /* Name.Variable.Instance */
|
||||
html[data-theme="dark"] .highlight .vm { color: #ffd900 } /* Name.Variable.Magic */
|
||||
html[data-theme="dark"] .highlight .il { color: #ffd900 } /* Literal.Number.Integer.Long */
|
||||
3
docs/build/html/_static/scripts/bootstrap.js
vendored
Normal file
3
docs/build/html/_static/scripts/bootstrap.js
vendored
Normal file
File diff suppressed because one or more lines are too long
5
docs/build/html/_static/scripts/bootstrap.js.LICENSE.txt
vendored
Normal file
5
docs/build/html/_static/scripts/bootstrap.js.LICENSE.txt
vendored
Normal file
@ -0,0 +1,5 @@
|
||||
/*!
|
||||
* Bootstrap v5.3.2 (https://getbootstrap.com/)
|
||||
* Copyright 2011-2023 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)
|
||||
* Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
|
||||
*/
|
||||
1
docs/build/html/_static/scripts/bootstrap.js.map
vendored
Normal file
1
docs/build/html/_static/scripts/bootstrap.js.map
vendored
Normal file
File diff suppressed because one or more lines are too long
2
docs/build/html/_static/scripts/pydata-sphinx-theme.js
vendored
Normal file
2
docs/build/html/_static/scripts/pydata-sphinx-theme.js
vendored
Normal file
File diff suppressed because one or more lines are too long
1
docs/build/html/_static/scripts/pydata-sphinx-theme.js.map
vendored
Normal file
1
docs/build/html/_static/scripts/pydata-sphinx-theme.js.map
vendored
Normal file
File diff suppressed because one or more lines are too long
619
docs/build/html/_static/searchtools.js
vendored
Normal file
619
docs/build/html/_static/searchtools.js
vendored
Normal file
@ -0,0 +1,619 @@
|
||||
/*
|
||||
* searchtools.js
|
||||
* ~~~~~~~~~~~~~~~~
|
||||
*
|
||||
* Sphinx JavaScript utilities for the full-text search.
|
||||
*
|
||||
* :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS.
|
||||
* :license: BSD, see LICENSE for details.
|
||||
*
|
||||
*/
|
||||
"use strict";
|
||||
|
||||
/**
|
||||
* Simple result scoring code.
|
||||
*/
|
||||
if (typeof Scorer === "undefined") {
|
||||
var Scorer = {
|
||||
// Implement the following function to further tweak the score for each result
|
||||
// The function takes a result array [docname, title, anchor, descr, score, filename]
|
||||
// and returns the new score.
|
||||
/*
|
||||
score: result => {
|
||||
const [docname, title, anchor, descr, score, filename] = result
|
||||
return score
|
||||
},
|
||||
*/
|
||||
|
||||
// query matches the full name of an object
|
||||
objNameMatch: 11,
|
||||
// or matches in the last dotted part of the object name
|
||||
objPartialMatch: 6,
|
||||
// Additive scores depending on the priority of the object
|
||||
objPrio: {
|
||||
0: 15, // used to be importantResults
|
||||
1: 5, // used to be objectResults
|
||||
2: -5, // used to be unimportantResults
|
||||
},
|
||||
// Used when the priority is not in the mapping.
|
||||
objPrioDefault: 0,
|
||||
|
||||
// query found in title
|
||||
title: 15,
|
||||
partialTitle: 7,
|
||||
// query found in terms
|
||||
term: 5,
|
||||
partialTerm: 2,
|
||||
};
|
||||
}
|
||||
|
||||
const _removeChildren = (element) => {
|
||||
while (element && element.lastChild) element.removeChild(element.lastChild);
|
||||
};
|
||||
|
||||
/**
|
||||
* See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Regular_Expressions#escaping
|
||||
*/
|
||||
const _escapeRegExp = (string) =>
|
||||
string.replace(/[.*+\-?^${}()|[\]\\]/g, "\\$&"); // $& means the whole matched string
|
||||
|
||||
const _displayItem = (item, searchTerms, highlightTerms) => {
|
||||
const docBuilder = DOCUMENTATION_OPTIONS.BUILDER;
|
||||
const docFileSuffix = DOCUMENTATION_OPTIONS.FILE_SUFFIX;
|
||||
const docLinkSuffix = DOCUMENTATION_OPTIONS.LINK_SUFFIX;
|
||||
const showSearchSummary = DOCUMENTATION_OPTIONS.SHOW_SEARCH_SUMMARY;
|
||||
const contentRoot = document.documentElement.dataset.content_root;
|
||||
|
||||
const [docName, title, anchor, descr, score, _filename] = item;
|
||||
|
||||
let listItem = document.createElement("li");
|
||||
let requestUrl;
|
||||
let linkUrl;
|
||||
if (docBuilder === "dirhtml") {
|
||||
// dirhtml builder
|
||||
let dirname = docName + "/";
|
||||
if (dirname.match(/\/index\/$/))
|
||||
dirname = dirname.substring(0, dirname.length - 6);
|
||||
else if (dirname === "index/") dirname = "";
|
||||
requestUrl = contentRoot + dirname;
|
||||
linkUrl = requestUrl;
|
||||
} else {
|
||||
// normal html builders
|
||||
requestUrl = contentRoot + docName + docFileSuffix;
|
||||
linkUrl = docName + docLinkSuffix;
|
||||
}
|
||||
let linkEl = listItem.appendChild(document.createElement("a"));
|
||||
linkEl.href = linkUrl + anchor;
|
||||
linkEl.dataset.score = score;
|
||||
linkEl.innerHTML = title;
|
||||
if (descr) {
|
||||
listItem.appendChild(document.createElement("span")).innerHTML =
|
||||
" (" + descr + ")";
|
||||
// highlight search terms in the description
|
||||
if (SPHINX_HIGHLIGHT_ENABLED) // set in sphinx_highlight.js
|
||||
highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted"));
|
||||
}
|
||||
else if (showSearchSummary)
|
||||
fetch(requestUrl)
|
||||
.then((responseData) => responseData.text())
|
||||
.then((data) => {
|
||||
if (data)
|
||||
listItem.appendChild(
|
||||
Search.makeSearchSummary(data, searchTerms, anchor)
|
||||
);
|
||||
// highlight search terms in the summary
|
||||
if (SPHINX_HIGHLIGHT_ENABLED) // set in sphinx_highlight.js
|
||||
highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted"));
|
||||
});
|
||||
Search.output.appendChild(listItem);
|
||||
};
|
||||
const _finishSearch = (resultCount) => {
|
||||
Search.stopPulse();
|
||||
Search.title.innerText = _("Search Results");
|
||||
if (!resultCount)
|
||||
Search.status.innerText = Documentation.gettext(
|
||||
"Your search did not match any documents. Please make sure that all words are spelled correctly and that you've selected enough categories."
|
||||
);
|
||||
else
|
||||
Search.status.innerText = _(
|
||||
"Search finished, found ${resultCount} page(s) matching the search query."
|
||||
).replace('${resultCount}', resultCount);
|
||||
};
|
||||
const _displayNextItem = (
|
||||
results,
|
||||
resultCount,
|
||||
searchTerms,
|
||||
highlightTerms,
|
||||
) => {
|
||||
// results left, load the summary and display it
|
||||
// this is intended to be dynamic (don't sub resultsCount)
|
||||
if (results.length) {
|
||||
_displayItem(results.pop(), searchTerms, highlightTerms);
|
||||
setTimeout(
|
||||
() => _displayNextItem(results, resultCount, searchTerms, highlightTerms),
|
||||
5
|
||||
);
|
||||
}
|
||||
// search finished, update title and status message
|
||||
else _finishSearch(resultCount);
|
||||
};
|
||||
// Helper function used by query() to order search results.
|
||||
// Each input is an array of [docname, title, anchor, descr, score, filename].
|
||||
// Order the results by score (in opposite order of appearance, since the
|
||||
// `_displayNextItem` function uses pop() to retrieve items) and then alphabetically.
|
||||
const _orderResultsByScoreThenName = (a, b) => {
|
||||
const leftScore = a[4];
|
||||
const rightScore = b[4];
|
||||
if (leftScore === rightScore) {
|
||||
// same score: sort alphabetically
|
||||
const leftTitle = a[1].toLowerCase();
|
||||
const rightTitle = b[1].toLowerCase();
|
||||
if (leftTitle === rightTitle) return 0;
|
||||
return leftTitle > rightTitle ? -1 : 1; // inverted is intentional
|
||||
}
|
||||
return leftScore > rightScore ? 1 : -1;
|
||||
};
|
||||
|
||||
/**
|
||||
* Default splitQuery function. Can be overridden in ``sphinx.search`` with a
|
||||
* custom function per language.
|
||||
*
|
||||
* The regular expression works by splitting the string on consecutive characters
|
||||
* that are not Unicode letters, numbers, underscores, or emoji characters.
|
||||
* This is the same as ``\W+`` in Python, preserving the surrogate pair area.
|
||||
*/
|
||||
if (typeof splitQuery === "undefined") {
|
||||
var splitQuery = (query) => query
|
||||
.split(/[^\p{Letter}\p{Number}_\p{Emoji_Presentation}]+/gu)
|
||||
.filter(term => term) // remove remaining empty strings
|
||||
}
|
||||
|
||||
/**
|
||||
* Search Module
|
||||
*/
|
||||
const Search = {
|
||||
_index: null,
|
||||
_queued_query: null,
|
||||
_pulse_status: -1,
|
||||
|
||||
htmlToText: (htmlString, anchor) => {
|
||||
const htmlElement = new DOMParser().parseFromString(htmlString, 'text/html');
|
||||
for (const removalQuery of [".headerlinks", "script", "style"]) {
|
||||
htmlElement.querySelectorAll(removalQuery).forEach((el) => { el.remove() });
|
||||
}
|
||||
if (anchor) {
|
||||
const anchorContent = htmlElement.querySelector(`[role="main"] ${anchor}`);
|
||||
if (anchorContent) return anchorContent.textContent;
|
||||
|
||||
console.warn(
|
||||
`Anchored content block not found. Sphinx search tries to obtain it via DOM query '[role=main] ${anchor}'. Check your theme or template.`
|
||||
);
|
||||
}
|
||||
|
||||
// if anchor not specified or not found, fall back to main content
|
||||
const docContent = htmlElement.querySelector('[role="main"]');
|
||||
if (docContent) return docContent.textContent;
|
||||
|
||||
console.warn(
|
||||
"Content block not found. Sphinx search tries to obtain it via DOM query '[role=main]'. Check your theme or template."
|
||||
);
|
||||
return "";
|
||||
},
|
||||
|
||||
init: () => {
|
||||
const query = new URLSearchParams(window.location.search).get("q");
|
||||
document
|
||||
.querySelectorAll('input[name="q"]')
|
||||
.forEach((el) => (el.value = query));
|
||||
if (query) Search.performSearch(query);
|
||||
},
|
||||
|
||||
loadIndex: (url) =>
|
||||
(document.body.appendChild(document.createElement("script")).src = url),
|
||||
|
||||
setIndex: (index) => {
|
||||
Search._index = index;
|
||||
if (Search._queued_query !== null) {
|
||||
const query = Search._queued_query;
|
||||
Search._queued_query = null;
|
||||
Search.query(query);
|
||||
}
|
||||
},
|
||||
|
||||
hasIndex: () => Search._index !== null,
|
||||
|
||||
deferQuery: (query) => (Search._queued_query = query),
|
||||
|
||||
stopPulse: () => (Search._pulse_status = -1),
|
||||
|
||||
startPulse: () => {
|
||||
if (Search._pulse_status >= 0) return;
|
||||
|
||||
const pulse = () => {
|
||||
Search._pulse_status = (Search._pulse_status + 1) % 4;
|
||||
Search.dots.innerText = ".".repeat(Search._pulse_status);
|
||||
if (Search._pulse_status >= 0) window.setTimeout(pulse, 500);
|
||||
};
|
||||
pulse();
|
||||
},
|
||||
|
||||
/**
|
||||
* perform a search for something (or wait until index is loaded)
|
||||
*/
|
||||
performSearch: (query) => {
|
||||
// create the required interface elements
|
||||
const searchText = document.createElement("h2");
|
||||
searchText.textContent = _("Searching");
|
||||
const searchSummary = document.createElement("p");
|
||||
searchSummary.classList.add("search-summary");
|
||||
searchSummary.innerText = "";
|
||||
const searchList = document.createElement("ul");
|
||||
searchList.classList.add("search");
|
||||
|
||||
const out = document.getElementById("search-results");
|
||||
Search.title = out.appendChild(searchText);
|
||||
Search.dots = Search.title.appendChild(document.createElement("span"));
|
||||
Search.status = out.appendChild(searchSummary);
|
||||
Search.output = out.appendChild(searchList);
|
||||
|
||||
const searchProgress = document.getElementById("search-progress");
|
||||
// Some themes don't use the search progress node
|
||||
if (searchProgress) {
|
||||
searchProgress.innerText = _("Preparing search...");
|
||||
}
|
||||
Search.startPulse();
|
||||
|
||||
// index already loaded, the browser was quick!
|
||||
if (Search.hasIndex()) Search.query(query);
|
||||
else Search.deferQuery(query);
|
||||
},
|
||||
|
||||
_parseQuery: (query) => {
|
||||
// stem the search terms and add them to the correct list
|
||||
const stemmer = new Stemmer();
|
||||
const searchTerms = new Set();
|
||||
const excludedTerms = new Set();
|
||||
const highlightTerms = new Set();
|
||||
const objectTerms = new Set(splitQuery(query.toLowerCase().trim()));
|
||||
splitQuery(query.trim()).forEach((queryTerm) => {
|
||||
const queryTermLower = queryTerm.toLowerCase();
|
||||
|
||||
// maybe skip this "word"
|
||||
// stopwords array is from language_data.js
|
||||
if (
|
||||
stopwords.indexOf(queryTermLower) !== -1 ||
|
||||
queryTerm.match(/^\d+$/)
|
||||
)
|
||||
return;
|
||||
|
||||
// stem the word
|
||||
let word = stemmer.stemWord(queryTermLower);
|
||||
// select the correct list
|
||||
if (word[0] === "-") excludedTerms.add(word.substr(1));
|
||||
else {
|
||||
searchTerms.add(word);
|
||||
highlightTerms.add(queryTermLower);
|
||||
}
|
||||
});
|
||||
|
||||
if (SPHINX_HIGHLIGHT_ENABLED) { // set in sphinx_highlight.js
|
||||
localStorage.setItem("sphinx_highlight_terms", [...highlightTerms].join(" "))
|
||||
}
|
||||
|
||||
// console.debug("SEARCH: searching for:");
|
||||
// console.info("required: ", [...searchTerms]);
|
||||
// console.info("excluded: ", [...excludedTerms]);
|
||||
|
||||
return [query, searchTerms, excludedTerms, highlightTerms, objectTerms];
|
||||
},
|
||||
|
||||
/**
|
||||
* execute search (requires search index to be loaded)
|
||||
*/
|
||||
_performSearch: (query, searchTerms, excludedTerms, highlightTerms, objectTerms) => {
|
||||
const filenames = Search._index.filenames;
|
||||
const docNames = Search._index.docnames;
|
||||
const titles = Search._index.titles;
|
||||
const allTitles = Search._index.alltitles;
|
||||
const indexEntries = Search._index.indexentries;
|
||||
|
||||
// Collect multiple result groups to be sorted separately and then ordered.
|
||||
// Each is an array of [docname, title, anchor, descr, score, filename].
|
||||
const normalResults = [];
|
||||
const nonMainIndexResults = [];
|
||||
|
||||
_removeChildren(document.getElementById("search-progress"));
|
||||
|
||||
const queryLower = query.toLowerCase().trim();
|
||||
for (const [title, foundTitles] of Object.entries(allTitles)) {
|
||||
if (title.toLowerCase().trim().includes(queryLower) && (queryLower.length >= title.length/2)) {
|
||||
for (const [file, id] of foundTitles) {
|
||||
let score = Math.round(100 * queryLower.length / title.length)
|
||||
normalResults.push([
|
||||
docNames[file],
|
||||
titles[file] !== title ? `${titles[file]} > ${title}` : title,
|
||||
id !== null ? "#" + id : "",
|
||||
null,
|
||||
score,
|
||||
filenames[file],
|
||||
]);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// search for explicit entries in index directives
|
||||
for (const [entry, foundEntries] of Object.entries(indexEntries)) {
|
||||
if (entry.includes(queryLower) && (queryLower.length >= entry.length/2)) {
|
||||
for (const [file, id, isMain] of foundEntries) {
|
||||
const score = Math.round(100 * queryLower.length / entry.length);
|
||||
const result = [
|
||||
docNames[file],
|
||||
titles[file],
|
||||
id ? "#" + id : "",
|
||||
null,
|
||||
score,
|
||||
filenames[file],
|
||||
];
|
||||
if (isMain) {
|
||||
normalResults.push(result);
|
||||
} else {
|
||||
nonMainIndexResults.push(result);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// lookup as object
|
||||
objectTerms.forEach((term) =>
|
||||
normalResults.push(...Search.performObjectSearch(term, objectTerms))
|
||||
);
|
||||
|
||||
// lookup as search terms in fulltext
|
||||
normalResults.push(...Search.performTermsSearch(searchTerms, excludedTerms));
|
||||
|
||||
// let the scorer override scores with a custom scoring function
|
||||
if (Scorer.score) {
|
||||
normalResults.forEach((item) => (item[4] = Scorer.score(item)));
|
||||
nonMainIndexResults.forEach((item) => (item[4] = Scorer.score(item)));
|
||||
}
|
||||
|
||||
// Sort each group of results by score and then alphabetically by name.
|
||||
normalResults.sort(_orderResultsByScoreThenName);
|
||||
nonMainIndexResults.sort(_orderResultsByScoreThenName);
|
||||
|
||||
// Combine the result groups in (reverse) order.
|
||||
// Non-main index entries are typically arbitrary cross-references,
|
||||
// so display them after other results.
|
||||
let results = [...nonMainIndexResults, ...normalResults];
|
||||
|
||||
// remove duplicate search results
|
||||
// note the reversing of results, so that in the case of duplicates, the highest-scoring entry is kept
|
||||
let seen = new Set();
|
||||
results = results.reverse().reduce((acc, result) => {
|
||||
let resultStr = result.slice(0, 4).concat([result[5]]).map(v => String(v)).join(',');
|
||||
if (!seen.has(resultStr)) {
|
||||
acc.push(result);
|
||||
seen.add(resultStr);
|
||||
}
|
||||
return acc;
|
||||
}, []);
|
||||
|
||||
return results.reverse();
|
||||
},
|
||||
|
||||
query: (query) => {
|
||||
const [searchQuery, searchTerms, excludedTerms, highlightTerms, objectTerms] = Search._parseQuery(query);
|
||||
const results = Search._performSearch(searchQuery, searchTerms, excludedTerms, highlightTerms, objectTerms);
|
||||
|
||||
// for debugging
|
||||
//Search.lastresults = results.slice(); // a copy
|
||||
// console.info("search results:", Search.lastresults);
|
||||
|
||||
// print the results
|
||||
_displayNextItem(results, results.length, searchTerms, highlightTerms);
|
||||
},
|
||||
|
||||
/**
|
||||
* search for object names
|
||||
*/
|
||||
performObjectSearch: (object, objectTerms) => {
|
||||
const filenames = Search._index.filenames;
|
||||
const docNames = Search._index.docnames;
|
||||
const objects = Search._index.objects;
|
||||
const objNames = Search._index.objnames;
|
||||
const titles = Search._index.titles;
|
||||
|
||||
const results = [];
|
||||
|
||||
const objectSearchCallback = (prefix, match) => {
|
||||
const name = match[4]
|
||||
const fullname = (prefix ? prefix + "." : "") + name;
|
||||
const fullnameLower = fullname.toLowerCase();
|
||||
if (fullnameLower.indexOf(object) < 0) return;
|
||||
|
||||
let score = 0;
|
||||
const parts = fullnameLower.split(".");
|
||||
|
||||
// check for different match types: exact matches of full name or
|
||||
// "last name" (i.e. last dotted part)
|
||||
if (fullnameLower === object || parts.slice(-1)[0] === object)
|
||||
score += Scorer.objNameMatch;
|
||||
else if (parts.slice(-1)[0].indexOf(object) > -1)
|
||||
score += Scorer.objPartialMatch; // matches in last name
|
||||
|
||||
const objName = objNames[match[1]][2];
|
||||
const title = titles[match[0]];
|
||||
|
||||
// If more than one term searched for, we require other words to be
|
||||
// found in the name/title/description
|
||||
const otherTerms = new Set(objectTerms);
|
||||
otherTerms.delete(object);
|
||||
if (otherTerms.size > 0) {
|
||||
const haystack = `${prefix} ${name} ${objName} ${title}`.toLowerCase();
|
||||
if (
|
||||
[...otherTerms].some((otherTerm) => haystack.indexOf(otherTerm) < 0)
|
||||
)
|
||||
return;
|
||||
}
|
||||
|
||||
let anchor = match[3];
|
||||
if (anchor === "") anchor = fullname;
|
||||
else if (anchor === "-") anchor = objNames[match[1]][1] + "-" + fullname;
|
||||
|
||||
const descr = objName + _(", in ") + title;
|
||||
|
||||
// add custom score for some objects according to scorer
|
||||
if (Scorer.objPrio.hasOwnProperty(match[2]))
|
||||
score += Scorer.objPrio[match[2]];
|
||||
else score += Scorer.objPrioDefault;
|
||||
|
||||
results.push([
|
||||
docNames[match[0]],
|
||||
fullname,
|
||||
"#" + anchor,
|
||||
descr,
|
||||
score,
|
||||
filenames[match[0]],
|
||||
]);
|
||||
};
|
||||
Object.keys(objects).forEach((prefix) =>
|
||||
objects[prefix].forEach((array) =>
|
||||
objectSearchCallback(prefix, array)
|
||||
)
|
||||
);
|
||||
return results;
|
||||
},
|
||||
|
||||
/**
|
||||
* search for full-text terms in the index
|
||||
*/
|
||||
performTermsSearch: (searchTerms, excludedTerms) => {
|
||||
// prepare search
|
||||
const terms = Search._index.terms;
|
||||
const titleTerms = Search._index.titleterms;
|
||||
const filenames = Search._index.filenames;
|
||||
const docNames = Search._index.docnames;
|
||||
const titles = Search._index.titles;
|
||||
|
||||
const scoreMap = new Map();
|
||||
const fileMap = new Map();
|
||||
|
||||
// perform the search on the required terms
|
||||
searchTerms.forEach((word) => {
|
||||
const files = [];
|
||||
const arr = [
|
||||
{ files: terms[word], score: Scorer.term },
|
||||
{ files: titleTerms[word], score: Scorer.title },
|
||||
];
|
||||
// add support for partial matches
|
||||
if (word.length > 2) {
|
||||
const escapedWord = _escapeRegExp(word);
|
||||
if (!terms.hasOwnProperty(word)) {
|
||||
Object.keys(terms).forEach((term) => {
|
||||
if (term.match(escapedWord))
|
||||
arr.push({ files: terms[term], score: Scorer.partialTerm });
|
||||
});
|
||||
}
|
||||
if (!titleTerms.hasOwnProperty(word)) {
|
||||
Object.keys(titleTerms).forEach((term) => {
|
||||
if (term.match(escapedWord))
|
||||
arr.push({ files: titleTerms[term], score: Scorer.partialTitle });
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
// no match but word was a required one
|
||||
if (arr.every((record) => record.files === undefined)) return;
|
||||
|
||||
// found search word in contents
|
||||
arr.forEach((record) => {
|
||||
if (record.files === undefined) return;
|
||||
|
||||
let recordFiles = record.files;
|
||||
if (recordFiles.length === undefined) recordFiles = [recordFiles];
|
||||
files.push(...recordFiles);
|
||||
|
||||
// set score for the word in each file
|
||||
recordFiles.forEach((file) => {
|
||||
if (!scoreMap.has(file)) scoreMap.set(file, {});
|
||||
scoreMap.get(file)[word] = record.score;
|
||||
});
|
||||
});
|
||||
|
||||
// create the mapping
|
||||
files.forEach((file) => {
|
||||
if (!fileMap.has(file)) fileMap.set(file, [word]);
|
||||
else if (fileMap.get(file).indexOf(word) === -1) fileMap.get(file).push(word);
|
||||
});
|
||||
});
|
||||
|
||||
// now check if the files don't contain excluded terms
|
||||
const results = [];
|
||||
for (const [file, wordList] of fileMap) {
|
||||
// check if all requirements are matched
|
||||
|
||||
// as search terms with length < 3 are discarded
|
||||
const filteredTermCount = [...searchTerms].filter(
|
||||
(term) => term.length > 2
|
||||
).length;
|
||||
if (
|
||||
wordList.length !== searchTerms.size &&
|
||||
wordList.length !== filteredTermCount
|
||||
)
|
||||
continue;
|
||||
|
||||
// ensure that none of the excluded terms is in the search result
|
||||
if (
|
||||
[...excludedTerms].some(
|
||||
(term) =>
|
||||
terms[term] === file ||
|
||||
titleTerms[term] === file ||
|
||||
(terms[term] || []).includes(file) ||
|
||||
(titleTerms[term] || []).includes(file)
|
||||
)
|
||||
)
|
||||
break;
|
||||
|
||||
// select one (max) score for the file.
|
||||
const score = Math.max(...wordList.map((w) => scoreMap.get(file)[w]));
|
||||
// add result to the result list
|
||||
results.push([
|
||||
docNames[file],
|
||||
titles[file],
|
||||
"",
|
||||
null,
|
||||
score,
|
||||
filenames[file],
|
||||
]);
|
||||
}
|
||||
return results;
|
||||
},
|
||||
|
||||
/**
|
||||
* helper function to return a node containing the
|
||||
* search summary for a given text. keywords is a list
|
||||
* of stemmed words.
|
||||
*/
|
||||
makeSearchSummary: (htmlText, keywords, anchor) => {
|
||||
const text = Search.htmlToText(htmlText, anchor);
|
||||
if (text === "") return null;
|
||||
|
||||
const textLower = text.toLowerCase();
|
||||
const actualStartPosition = [...keywords]
|
||||
.map((k) => textLower.indexOf(k.toLowerCase()))
|
||||
.filter((i) => i > -1)
|
||||
.slice(-1)[0];
|
||||
const startWithContext = Math.max(actualStartPosition - 120, 0);
|
||||
|
||||
const top = startWithContext === 0 ? "" : "...";
|
||||
const tail = startWithContext + 240 < text.length ? "..." : "";
|
||||
|
||||
let summary = document.createElement("p");
|
||||
summary.classList.add("context");
|
||||
summary.textContent = top + text.substr(startWithContext, 240).trim() + tail;
|
||||
|
||||
return summary;
|
||||
},
|
||||
};
|
||||
|
||||
/* Search initialization removed for Read the Docs */
|
||||
154
docs/build/html/_static/sphinx_highlight.js
vendored
Normal file
154
docs/build/html/_static/sphinx_highlight.js
vendored
Normal file
@ -0,0 +1,154 @@
|
||||
/* Highlighting utilities for Sphinx HTML documentation. */
|
||||
"use strict";
|
||||
|
||||
const SPHINX_HIGHLIGHT_ENABLED = true
|
||||
|
||||
/**
|
||||
* highlight a given string on a node by wrapping it in
|
||||
* span elements with the given class name.
|
||||
*/
|
||||
const _highlight = (node, addItems, text, className) => {
|
||||
if (node.nodeType === Node.TEXT_NODE) {
|
||||
const val = node.nodeValue;
|
||||
const parent = node.parentNode;
|
||||
const pos = val.toLowerCase().indexOf(text);
|
||||
if (
|
||||
pos >= 0 &&
|
||||
!parent.classList.contains(className) &&
|
||||
!parent.classList.contains("nohighlight")
|
||||
) {
|
||||
let span;
|
||||
|
||||
const closestNode = parent.closest("body, svg, foreignObject");
|
||||
const isInSVG = closestNode && closestNode.matches("svg");
|
||||
if (isInSVG) {
|
||||
span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
|
||||
} else {
|
||||
span = document.createElement("span");
|
||||
span.classList.add(className);
|
||||
}
|
||||
|
||||
span.appendChild(document.createTextNode(val.substr(pos, text.length)));
|
||||
const rest = document.createTextNode(val.substr(pos + text.length));
|
||||
parent.insertBefore(
|
||||
span,
|
||||
parent.insertBefore(
|
||||
rest,
|
||||
node.nextSibling
|
||||
)
|
||||
);
|
||||
node.nodeValue = val.substr(0, pos);
|
||||
/* There may be more occurrences of search term in this node. So call this
|
||||
* function recursively on the remaining fragment.
|
||||
*/
|
||||
_highlight(rest, addItems, text, className);
|
||||
|
||||
if (isInSVG) {
|
||||
const rect = document.createElementNS(
|
||||
"http://www.w3.org/2000/svg",
|
||||
"rect"
|
||||
);
|
||||
const bbox = parent.getBBox();
|
||||
rect.x.baseVal.value = bbox.x;
|
||||
rect.y.baseVal.value = bbox.y;
|
||||
rect.width.baseVal.value = bbox.width;
|
||||
rect.height.baseVal.value = bbox.height;
|
||||
rect.setAttribute("class", className);
|
||||
addItems.push({ parent: parent, target: rect });
|
||||
}
|
||||
}
|
||||
} else if (node.matches && !node.matches("button, select, textarea")) {
|
||||
node.childNodes.forEach((el) => _highlight(el, addItems, text, className));
|
||||
}
|
||||
};
|
||||
const _highlightText = (thisNode, text, className) => {
|
||||
let addItems = [];
|
||||
_highlight(thisNode, addItems, text, className);
|
||||
addItems.forEach((obj) =>
|
||||
obj.parent.insertAdjacentElement("beforebegin", obj.target)
|
||||
);
|
||||
};
|
||||
|
||||
/**
|
||||
* Small JavaScript module for the documentation.
|
||||
*/
|
||||
const SphinxHighlight = {
|
||||
|
||||
/**
|
||||
* highlight the search words provided in localstorage in the text
|
||||
*/
|
||||
highlightSearchWords: () => {
|
||||
if (!SPHINX_HIGHLIGHT_ENABLED) return; // bail if no highlight
|
||||
|
||||
// get and clear terms from localstorage
|
||||
const url = new URL(window.location);
|
||||
const highlight =
|
||||
localStorage.getItem("sphinx_highlight_terms")
|
||||
|| url.searchParams.get("highlight")
|
||||
|| "";
|
||||
localStorage.removeItem("sphinx_highlight_terms")
|
||||
url.searchParams.delete("highlight");
|
||||
window.history.replaceState({}, "", url);
|
||||
|
||||
// get individual terms from highlight string
|
||||
const terms = highlight.toLowerCase().split(/\s+/).filter(x => x);
|
||||
if (terms.length === 0) return; // nothing to do
|
||||
|
||||
// There should never be more than one element matching "div.body"
|
||||
const divBody = document.querySelectorAll("div.body");
|
||||
const body = divBody.length ? divBody[0] : document.querySelector("body");
|
||||
window.setTimeout(() => {
|
||||
terms.forEach((term) => _highlightText(body, term, "highlighted"));
|
||||
}, 10);
|
||||
|
||||
const searchBox = document.getElementById("searchbox");
|
||||
if (searchBox === null) return;
|
||||
searchBox.appendChild(
|
||||
document
|
||||
.createRange()
|
||||
.createContextualFragment(
|
||||
'<p class="highlight-link">' +
|
||||
'<a href="javascript:SphinxHighlight.hideSearchWords()">' +
|
||||
_("Hide Search Matches") +
|
||||
"</a></p>"
|
||||
)
|
||||
);
|
||||
},
|
||||
|
||||
/**
|
||||
* helper function to hide the search marks again
|
||||
*/
|
||||
hideSearchWords: () => {
|
||||
document
|
||||
.querySelectorAll("#searchbox .highlight-link")
|
||||
.forEach((el) => el.remove());
|
||||
document
|
||||
.querySelectorAll("span.highlighted")
|
||||
.forEach((el) => el.classList.remove("highlighted"));
|
||||
localStorage.removeItem("sphinx_highlight_terms")
|
||||
},
|
||||
|
||||
initEscapeListener: () => {
|
||||
// only install a listener if it is really needed
|
||||
if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) return;
|
||||
|
||||
document.addEventListener("keydown", (event) => {
|
||||
// bail for input elements
|
||||
if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return;
|
||||
// bail with special keys
|
||||
if (event.shiftKey || event.altKey || event.ctrlKey || event.metaKey) return;
|
||||
if (DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS && (event.key === "Escape")) {
|
||||
SphinxHighlight.hideSearchWords();
|
||||
event.preventDefault();
|
||||
}
|
||||
});
|
||||
},
|
||||
};
|
||||
|
||||
_ready(() => {
|
||||
/* Do not call highlightSearchWords() when we are on the search page.
|
||||
* It will highlight words from the *previous* search query.
|
||||
*/
|
||||
if (typeof Search === "undefined") SphinxHighlight.highlightSearchWords();
|
||||
SphinxHighlight.initEscapeListener();
|
||||
});
|
||||
6
docs/build/html/_static/styles/bootstrap.css
vendored
Normal file
6
docs/build/html/_static/styles/bootstrap.css
vendored
Normal file
File diff suppressed because one or more lines are too long
1
docs/build/html/_static/styles/bootstrap.css.map
vendored
Normal file
1
docs/build/html/_static/styles/bootstrap.css.map
vendored
Normal file
File diff suppressed because one or more lines are too long
2
docs/build/html/_static/styles/pydata-sphinx-theme.css
vendored
Normal file
2
docs/build/html/_static/styles/pydata-sphinx-theme.css
vendored
Normal file
File diff suppressed because one or more lines are too long
1
docs/build/html/_static/styles/pydata-sphinx-theme.css.map
vendored
Normal file
1
docs/build/html/_static/styles/pydata-sphinx-theme.css.map
vendored
Normal file
File diff suppressed because one or more lines are too long
2
docs/build/html/_static/styles/theme.css
vendored
Normal file
2
docs/build/html/_static/styles/theme.css
vendored
Normal file
@ -0,0 +1,2 @@
|
||||
/* Provided by Sphinx's 'basic' theme, and included in the final set of assets */
|
||||
@import "../basic.css";
|
||||
165
docs/build/html/_static/vendor/fontawesome/6.5.1/LICENSE.txt
vendored
Normal file
165
docs/build/html/_static/vendor/fontawesome/6.5.1/LICENSE.txt
vendored
Normal file
@ -0,0 +1,165 @@
|
||||
Fonticons, Inc. (https://fontawesome.com)
|
||||
|
||||
--------------------------------------------------------------------------------
|
||||
|
||||
Font Awesome Free License
|
||||
|
||||
Font Awesome Free is free, open source, and GPL friendly. You can use it for
|
||||
commercial projects, open source projects, or really almost whatever you want.
|
||||
Full Font Awesome Free license: https://fontawesome.com/license/free.
|
||||
|
||||
--------------------------------------------------------------------------------
|
||||
|
||||
# Icons: CC BY 4.0 License (https://creativecommons.org/licenses/by/4.0/)
|
||||
|
||||
The Font Awesome Free download is licensed under a Creative Commons
|
||||
Attribution 4.0 International License and applies to all icons packaged
|
||||
as SVG and JS file types.
|
||||
|
||||
--------------------------------------------------------------------------------
|
||||
|
||||
# Fonts: SIL OFL 1.1 License
|
||||
|
||||
In the Font Awesome Free download, the SIL OFL license applies to all icons
|
||||
packaged as web and desktop font files.
|
||||
|
||||
Copyright (c) 2023 Fonticons, Inc. (https://fontawesome.com)
|
||||
with Reserved Font Name: "Font Awesome".
|
||||
|
||||
This Font Software is licensed under the SIL Open Font License, Version 1.1.
|
||||
This license is copied below, and is also available with a FAQ at:
|
||||
http://scripts.sil.org/OFL
|
||||
|
||||
SIL OPEN FONT LICENSE
|
||||
Version 1.1 - 26 February 2007
|
||||
|
||||
PREAMBLE
|
||||
The goals of the Open Font License (OFL) are to stimulate worldwide
|
||||
development of collaborative font projects, to support the font creation
|
||||
efforts of academic and linguistic communities, and to provide a free and
|
||||
open framework in which fonts may be shared and improved in partnership
|
||||
with others.
|
||||
|
||||
The OFL allows the licensed fonts to be used, studied, modified and
|
||||
redistributed freely as long as they are not sold by themselves. The
|
||||
fonts, including any derivative works, can be bundled, embedded,
|
||||
redistributed and/or sold with any software provided that any reserved
|
||||
names are not used by derivative works. The fonts and derivatives,
|
||||
however, cannot be released under any other type of license. The
|
||||
requirement for fonts to remain under this license does not apply
|
||||
to any document created using the fonts or their derivatives.
|
||||
|
||||
DEFINITIONS
|
||||
"Font Software" refers to the set of files released by the Copyright
|
||||
Holder(s) under this license and clearly marked as such. This may
|
||||
include source files, build scripts and documentation.
|
||||
|
||||
"Reserved Font Name" refers to any names specified as such after the
|
||||
copyright statement(s).
|
||||
|
||||
"Original Version" refers to the collection of Font Software components as
|
||||
distributed by the Copyright Holder(s).
|
||||
|
||||
"Modified Version" refers to any derivative made by adding to, deleting,
|
||||
or substituting — in part or in whole — any of the components of the
|
||||
Original Version, by changing formats or by porting the Font Software to a
|
||||
new environment.
|
||||
|
||||
"Author" refers to any designer, engineer, programmer, technical
|
||||
writer or other person who contributed to the Font Software.
|
||||
|
||||
PERMISSION & CONDITIONS
|
||||
Permission is hereby granted, free of charge, to any person obtaining
|
||||
a copy of the Font Software, to use, study, copy, merge, embed, modify,
|
||||
redistribute, and sell modified and unmodified copies of the Font
|
||||
Software, subject to the following conditions:
|
||||
|
||||
1) Neither the Font Software nor any of its individual components,
|
||||
in Original or Modified Versions, may be sold by itself.
|
||||
|
||||
2) Original or Modified Versions of the Font Software may be bundled,
|
||||
redistributed and/or sold with any software, provided that each copy
|
||||
contains the above copyright notice and this license. These can be
|
||||
included either as stand-alone text files, human-readable headers or
|
||||
in the appropriate machine-readable metadata fields within text or
|
||||
binary files as long as those fields can be easily viewed by the user.
|
||||
|
||||
3) No Modified Version of the Font Software may use the Reserved Font
|
||||
Name(s) unless explicit written permission is granted by the corresponding
|
||||
Copyright Holder. This restriction only applies to the primary font name as
|
||||
presented to the users.
|
||||
|
||||
4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font
|
||||
Software shall not be used to promote, endorse or advertise any
|
||||
Modified Version, except to acknowledge the contribution(s) of the
|
||||
Copyright Holder(s) and the Author(s) or with their explicit written
|
||||
permission.
|
||||
|
||||
5) The Font Software, modified or unmodified, in part or in whole,
|
||||
must be distributed entirely under this license, and must not be
|
||||
distributed under any other license. The requirement for fonts to
|
||||
remain under this license does not apply to any document created
|
||||
using the Font Software.
|
||||
|
||||
TERMINATION
|
||||
This license becomes null and void if any of the above conditions are
|
||||
not met.
|
||||
|
||||
DISCLAIMER
|
||||
THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
|
||||
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF
|
||||
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT
|
||||
OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE
|
||||
COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
|
||||
INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL
|
||||
DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
|
||||
FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM
|
||||
OTHER DEALINGS IN THE FONT SOFTWARE.
|
||||
|
||||
--------------------------------------------------------------------------------
|
||||
|
||||
# Code: MIT License (https://opensource.org/licenses/MIT)
|
||||
|
||||
In the Font Awesome Free download, the MIT license applies to all non-font and
|
||||
non-icon files.
|
||||
|
||||
Copyright 2023 Fonticons, Inc.
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining a copy of
|
||||
this software and associated documentation files (the "Software"), to deal in the
|
||||
Software without restriction, including without limitation the rights to use, copy,
|
||||
modify, merge, publish, distribute, sublicense, and/or sell copies of the Software,
|
||||
and to permit persons to whom the Software is furnished to do so, subject to the
|
||||
following conditions:
|
||||
|
||||
The above copyright notice and this permission notice shall be included in all
|
||||
copies or substantial portions of the Software.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED,
|
||||
INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A
|
||||
PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
|
||||
HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
|
||||
OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
|
||||
SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
|
||||
|
||||
--------------------------------------------------------------------------------
|
||||
|
||||
# Attribution
|
||||
|
||||
Attribution is required by MIT, SIL OFL, and CC BY licenses. Downloaded Font
|
||||
Awesome Free files already contain embedded comments with sufficient
|
||||
attribution, so you shouldn't need to do anything additional when using these
|
||||
files normally.
|
||||
|
||||
We've kept attribution comments terse, so we ask that you do not actively work
|
||||
to remove them from files, especially code. They're a great way for folks to
|
||||
learn about Font Awesome.
|
||||
|
||||
--------------------------------------------------------------------------------
|
||||
|
||||
# Brand Icons
|
||||
|
||||
All brand icons are trademarks of their respective owners. The use of these
|
||||
trademarks does not indicate endorsement of the trademark holder by Font
|
||||
Awesome, nor vice versa. **Please do not use brand logos for any purpose except
|
||||
to represent the company, product, or service to which they refer.**
|
||||
5
docs/build/html/_static/vendor/fontawesome/6.5.1/css/all.min.css
vendored
Normal file
5
docs/build/html/_static/vendor/fontawesome/6.5.1/css/all.min.css
vendored
Normal file
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2
docs/build/html/_static/vendor/fontawesome/6.5.1/js/all.min.js
vendored
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2
docs/build/html/_static/vendor/fontawesome/6.5.1/js/all.min.js
vendored
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5
docs/build/html/_static/vendor/fontawesome/6.5.1/js/all.min.js.LICENSE.txt
vendored
Normal file
5
docs/build/html/_static/vendor/fontawesome/6.5.1/js/all.min.js.LICENSE.txt
vendored
Normal file
@ -0,0 +1,5 @@
|
||||
/*!
|
||||
* Font Awesome Free 6.5.1 by @fontawesome - https://fontawesome.com
|
||||
* License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
|
||||
* Copyright 2023 Fonticons, Inc.
|
||||
*/
|
||||
BIN
docs/build/html/_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.ttf
vendored
Normal file
BIN
docs/build/html/_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.ttf
vendored
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BIN
docs/build/html/_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2
vendored
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BIN
docs/build/html/_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2
vendored
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BIN
docs/build/html/_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.ttf
vendored
Normal file
BIN
docs/build/html/_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.ttf
vendored
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BIN
docs/build/html/_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2
vendored
Normal file
BIN
docs/build/html/_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2
vendored
Normal file
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BIN
docs/build/html/_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.ttf
vendored
Normal file
BIN
docs/build/html/_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.ttf
vendored
Normal file
Binary file not shown.
BIN
docs/build/html/_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2
vendored
Normal file
BIN
docs/build/html/_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2
vendored
Normal file
Binary file not shown.
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Reference in New Issue
Block a user