Add sus updates
This commit is contained in:
parent
22696c7f6f
commit
2698d73826
31 changed files with 2502 additions and 970 deletions
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@ -9,6 +9,7 @@
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- [parallel_map](src/sus/parallel_map.py)
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- [parallel_map](src/sus/parallel_map.py)
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- [match_names](src/sus/match_names/match_names.py)
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- [match_names](src/sus/match_names/match_names.py)
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- [evaluate_ranking](src/sus/evaluate_ranking/evaluate_ranking.py)
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- [evaluate_ranking](src/sus/evaluate_ranking/evaluate_ranking.py)
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- [get_sentences](src/sus/get_sentences.py)
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### Requires loading spacy model
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### Requires loading spacy model
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@ -17,14 +18,14 @@
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> Add this to the Dockerfile for caching the spaCy model:
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> Add this to the Dockerfile for caching the spaCy model:
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>
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>
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> ```docker
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> ```docker
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> RUN pip install --no-cache-dir en-core-web-lg@https://github.com/explosion/spacy-models/releases/download/en_core_web_lg-3.2.0/en_core_web_lg-3.2.0-py3-none-any.whl
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> RUN pip install --no-cache-dir en-core-web-sm@https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.3.0/en_core_web_sm-3.3.0-py3-none-any.whl
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> ```
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> ```
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- [spacy model (nlp)](src/sus/nlp.py)
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- [publication TEI](src/sus/publication_tei/publication_tei.py)
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- [get_sentences](src/sus/get_sentences.py)
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- [lemmatize_text](src/sus/lemmatize_text.py)
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- [lemmatize_text](src/sus/lemmatize_text.py)
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- [lemmatize_token](src/sus/lemmatize_token.py)
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- [lemmatize_token](src/sus/lemmatize_token.py)
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- [publication TEI](src/sus/publication_tei/publication_tei.py)
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- [spacy model (nlp)](src/sus/nlp.py)
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- [filter_sentences](src/sus/matcher/filter_sentences.py)
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## Development
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## Development
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@ -1,14 +1,14 @@
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[metadata]
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[metadata]
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name = sus
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name = great-ai
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version = 0.0.3
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version = 0.0.1
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author = ScoutinScience B.V.
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author = András Schmelczer
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author_email = andras@scoutinscience.com
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author_email = andras@scoutinscience.com
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description = [S]coutinScience [u]tilitie[s]: reusable utilities for text processing
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description =
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long_description = file: README.md
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long_description = file: README.md
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long_description_content_type = text/markdown
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long_description_content_type = text/markdown
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url = https://github.com/ScoutinScience/platform
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url = https://github.com/ScoutinScience/great-ai
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project_urls =
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project_urls =
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Bug Tracker = https://github.com/ScoutinScience/platform/issues
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Bug Tracker = https://github.com/ScoutinScience/great-ai/issues
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classifiers =
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classifiers =
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Programming Language :: Python :: 3
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Programming Language :: Python :: 3
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Operating System :: OS Independent
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Operating System :: OS Independent
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@ -27,13 +27,17 @@ install_requires =
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psutil >= 5.9.0
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psutil >= 5.9.0
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beautifulsoup4 >= 4.10.0
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beautifulsoup4 >= 4.10.0
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lxml >= 4.6.0
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lxml >= 4.6.0
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spacy >= 3.2.0
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spacy >= 3.3.0
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pydantic >= 1.8.0
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pydantic >= 1.8.0
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scikit-learn >= 1.0.0
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scikit-learn >= 1.0.0
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matplotlib >= 3.5.0
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matplotlib >= 3.5.0
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numpy >= 1.22.0
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numpy >= 1.22.0
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langcodes[data] >= 3.3.0
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langcodes[data] >= 3.3.0
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segtok >= 1.5.11
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langdetect >= 1.0.9
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langdetect >= 1.0.9
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[options.package_data]
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* = *.json, *.yaml, *.yml
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[options.packages.find]
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[options.packages.find]
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where = src
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where = src
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@ -9,7 +9,6 @@ from .external.pylatexenc.latex2text import LatexNodes2Text
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from .logger.create_logger import create_logger
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from .logger.create_logger import create_logger
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logger = create_logger("clean")
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logger = create_logger("clean")
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latex = LatexNodes2Text()
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latex = LatexNodes2Text()
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@ -46,6 +45,10 @@ def clean(
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text = "".join([c for c in text if not unicodedata.combining(c)])
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text = "".join([c for c in text if not unicodedata.combining(c)])
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text = unidecode.unidecode(text)
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text = unidecode.unidecode(text)
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text = re.sub(
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r"\b[a-zA-Z](?:[\t ]+[a-zA-Z]\b)+", lambda m: re.sub(r"[\t ]", "", m[0]), text
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) # A R T I C L E => ARTICLE
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if remove_brackets:
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if remove_brackets:
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text = re.sub(r"\[[^\]]*\]", " ", text)
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text = re.sub(r"\[[^\]]*\]", " ", text)
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@ -40,7 +40,7 @@ preceding = [
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"doubt",
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"doubt",
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"negative for",
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"negative for",
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"no",
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"no",
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"vergreat_ai.utilities",
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"versus",
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"without",
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"without",
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"doesn't",
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"doesn't",
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"doesnt",
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"doesnt",
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@ -104,7 +104,7 @@ pseudo_clinical = pseudo + [
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"not ruled out",
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"not ruled out",
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"not been ruled out",
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"not been ruled out",
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"not drain",
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"not drain",
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"no great_ai.utilitiespicious change",
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"no suspicious change",
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"no interval change",
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"no interval change",
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"no significant interval change",
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"no significant interval change",
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]
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]
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@ -287,7 +287,7 @@ def placeholder_node_formatter(placeholdertext, block=True):
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r"""
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r"""
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This function returns a callable that can be used in
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This function returns a callable that can be used in
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:py:class:`MacroTextSpec`, :py:class:`EnvironmentTextSpec`, or
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:py:class:`MacroTextSpec`, :py:class:`EnvironmentTextSpec`, or
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:py:class:`SpecialsTextSpec` for latex nodes that do not have a great textual
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:py:class:`SpecialsTextSpec` for latex nodes that do not have a good textual
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representation, providing as text replacement the simple placeholder text
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representation, providing as text replacement the simple placeholder text
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``'< P L A C E H O L D E R T E X T >'``.
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``'< P L A C E H O L D E R T E X T >'``.
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@ -316,7 +316,7 @@ def fmt_placeholder_node(node, l2tobj):
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r"""
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r"""
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This function can be used as callable in :py:class:`MacroTextSpec`,
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This function can be used as callable in :py:class:`MacroTextSpec`,
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:py:class:`EnvironmentTextSpec`, or :py:class:`SpecialsTextSpec` for latex
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:py:class:`EnvironmentTextSpec`, or :py:class:`SpecialsTextSpec` for latex
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nodes that do not have a great textual representation. The text replacement
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nodes that do not have a good textual representation. The text replacement
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is the placeholder text
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is the placeholder text
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``'< N A M E O F T H E M A C R O O R E N V I R O N M E N T >'``.
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``'< N A M E O F T H E M A C R O O R E N V I R O N M E N T >'``.
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@ -266,7 +266,7 @@ _latex_specs_approximations = {
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("fcolorbox", "%(5)s"),
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("fcolorbox", "%(5)s"),
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("hspace", ""),
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("hspace", ""),
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("vspace", "\n"),
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("vspace", "\n"),
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# \\ is treated as an "approximation" because a great text renderer would
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# \\ is treated as an "approximation" because a good text renderer would
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# have to actually note that this is a end-of-line marker which is not
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# have to actually note that this is a end-of-line marker which is not
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# to be confused with other newlines in the paragraph (which can be
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# to be confused with other newlines in the paragraph (which can be
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# reflowed)
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# reflowed)
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@ -342,7 +342,7 @@ class UnicodeToLatexEncoder(object):
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Possible protection schemes are:
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Possible protection schemes are:
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- 'braces' (the default): Any great_ai.utilitiespicious replacement text (that
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- 'braces' (the default): Any suspicious replacement text (that
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might look fragile) is placed in curly braces ``{...}``.
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might look fragile) is placed in curly braces ``{...}``.
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- 'braces-all': All replacement latex escapes are surrounded in
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- 'braces-all': All replacement latex escapes are surrounded in
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230
great_ai/src/great_ai/utilities/external/pylatexenc/latexwalker/__main__.py
vendored
Normal file
230
great_ai/src/great_ai/utilities/external/pylatexenc/latexwalker/__main__.py
vendored
Normal file
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@ -0,0 +1,230 @@
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# -*- coding: utf-8 -*-
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#
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# The MIT License (MIT)
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#
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# Copyright (c) 2018 Philippe Faist
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#
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# Permission is hereby granted, free of charge, to any person obtaining a copy
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# of this software and associated documentation files (the "Software"), to deal
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# in the Software without restriction, including without limitation the rights
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# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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# copies of the Software, and to permit persons to whom the Software is
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# furnished to do so, subject to the following conditions:
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#
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# The above copyright notice and this permission notice shall be included in
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# all copies or substantial portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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# THE SOFTWARE.
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#
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import argparse
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import fileinput
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import json
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import logging
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import sys
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from ..latexwalker import LatexWalker, disp_node, make_json_encoder
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from ..version import version_str
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def main(argv=None):
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if argv is None:
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argv = sys.argv[1:]
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parser = argparse.ArgumentParser(prog="latexwalker", add_help=False)
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parser.add_argument(
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"--output-format",
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metavar="FORMAT",
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dest="output_format",
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choices=["human", "json"],
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default="human",
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help='Requested output format for the node tree ("human" or "json")',
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)
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parser.add_argument(
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"--json-indent",
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metavar="NUMSPACES",
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dest="json_indent",
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type=int,
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default=2,
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help="Indentation in JSON output (specify number of spaces "
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"per indentation level)",
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)
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parser.add_argument(
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"--json-compact",
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dest="json_indent",
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action="store_const",
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const=None,
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help="Output compact JSON",
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)
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parser.add_argument(
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"--keep-inline-math",
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action="store_const",
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const=True,
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dest="keep_inline_math",
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default=True,
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help=argparse.SUPPRESS,
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)
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parser.add_argument(
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"--no-keep-inline-math",
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action="store_const",
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const=False,
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dest="keep_inline_math",
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help=argparse.SUPPRESS,
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)
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parser.add_argument(
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"--tolerant-parsing",
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action="store_const",
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const=True,
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dest="tolerant_parsing",
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default=True,
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)
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parser.add_argument(
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"--no-tolerant-parsing",
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action="store_const",
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const=False,
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dest="tolerant_parsing",
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help="Tolerate syntax errors when parsing, and attempt "
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"to continue (default yes)",
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)
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# I'm not sure this flag is useful and if it should be exposed at all.
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# Accept it, but make it hidden.
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parser.add_argument(
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"--strict-braces",
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action="store_const",
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const=True,
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dest="strict_braces",
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default=False,
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help=argparse.SUPPRESS,
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)
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parser.add_argument(
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"--no-strict-braces",
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action="store_const",
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const=False,
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dest="strict_braces",
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# help="Report errors for mismatching LaTeX braces (default no)"
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help=argparse.SUPPRESS,
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)
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parser.add_argument(
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"-q",
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"--quiet",
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dest="logging_level",
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action="store_const",
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const=logging.ERROR,
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default=logging.INFO,
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help="Suppress warning messages",
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)
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parser.add_argument(
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"-v",
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"--verbose",
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dest="logging_level",
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action="store_const",
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const=logging.DEBUG,
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help="Verbose output",
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)
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parser.add_argument(
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"--version",
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action="version",
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version="pylatexenc {}".format(version_str),
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help="Show version information and exit",
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)
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parser.add_argument(
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"--help", action="help", help="Show this help information and exit"
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)
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parser.add_argument(
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"--code",
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"-c",
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action="store",
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default=None,
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metavar="LATEX_CODE",
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help="Convert the given LATEX_CODE to unicode text instead of reading "
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"from FILE or standard input. You cannot specify FILEs if you use this "
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"option, and any standard input is ignored.",
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)
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parser.add_argument(
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"files",
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metavar="FILE",
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nargs="*",
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help="Input files (if none specified, read from stdandard input)",
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)
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args = parser.parse_args(argv)
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logging.basicConfig()
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logging.getLogger().setLevel(args.logging_level)
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logger = logging.getLogger(__name__)
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latex = ""
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if args.code:
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if args.files:
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logger.error(
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"Cannot specify both FILEs and --code option. "
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"Use --help option for more information."
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)
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sys.exit(1)
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latex = args.code
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else:
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for line in fileinput.input(files=args.files):
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latex += line
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latexwalker = LatexWalker(
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latex, tolerant_parsing=args.tolerant_parsing, strict_braces=args.strict_braces
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)
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(nodelist, pos, len_) = latexwalker.get_latex_nodes()
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if args.output_format == "human":
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print("\n--- NODES ---\n")
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for n in nodelist:
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disp_node(n)
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print("\n-------------\n")
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return
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if args.output_format == "json":
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json.dump(
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{
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"nodelist": nodelist,
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},
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sys.stdout,
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cls=make_json_encoder(latexwalker),
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indent=args.json_indent,
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)
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sys.stdout.write("\n")
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return
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||||||
|
|
||||||
|
raise ValueError("Invalid output format: " + args.output_format)
|
||||||
|
|
||||||
|
|
||||||
|
def run_main():
|
||||||
|
|
||||||
|
try:
|
||||||
|
|
||||||
|
main()
|
||||||
|
|
||||||
|
except SystemExit:
|
||||||
|
raise
|
||||||
|
except: # lgtm [py/catch-base-exception]
|
||||||
|
import pdb
|
||||||
|
import traceback
|
||||||
|
|
||||||
|
traceback.print_exc()
|
||||||
|
pdb.post_mortem()
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
|
||||||
|
# run_main() # debug
|
||||||
|
main()
|
||||||
|
|
@ -33,7 +33,7 @@
|
||||||
#
|
#
|
||||||
# - tests pass: https://travis-ci.org/github/phfaist/pylatexenc
|
# - tests pass: https://travis-ci.org/github/phfaist/pylatexenc
|
||||||
#
|
#
|
||||||
# - LGTM looks great: https://lgtm.com/projects/g/phfaist/pylatexenc/
|
# - LGTM looks good: https://lgtm.com/projects/g/phfaist/pylatexenc/
|
||||||
#
|
#
|
||||||
# - python package creation works: (python setup.py sdist, pip install
|
# - python package creation works: (python setup.py sdist, pip install
|
||||||
# dist/pylatexenc-xxx.tar.gz)
|
# dist/pylatexenc-xxx.tar.gz)
|
||||||
|
|
|
||||||
|
|
@ -1,12 +1,15 @@
|
||||||
from typing import List
|
from typing import List
|
||||||
|
|
||||||
|
from segtok.segmenter import split_multi
|
||||||
|
|
||||||
from .data import sentence_ending_punctuations
|
from .data import sentence_ending_punctuations
|
||||||
from .nlp import nlp
|
|
||||||
|
|
||||||
|
|
||||||
def get_sentences(text: str, ignore_partial: bool = False) -> List[str]:
|
def get_sentences(text: str, ignore_partial: bool = False) -> List[str]:
|
||||||
doc = nlp(text)
|
if text.strip() == "":
|
||||||
possible_sentences = [s.text for s in doc.sents]
|
return []
|
||||||
|
|
||||||
|
possible_sentences = [s for s in split_multi(text) if s]
|
||||||
|
|
||||||
if ignore_partial:
|
if ignore_partial:
|
||||||
possible_sentences = [
|
possible_sentences = [
|
||||||
|
|
|
||||||
3
great_ai/src/great_ai/utilities/matcher/__init__.py
Normal file
3
great_ai/src/great_ai/utilities/matcher/__init__.py
Normal file
|
|
@ -0,0 +1,3 @@
|
||||||
|
from .fast_tokenize import fast_tokenize
|
||||||
|
from .filter_sentences import filter_sentences
|
||||||
|
from .normalize import normalize
|
||||||
30
great_ai/src/great_ai/utilities/matcher/fast_tokenize.py
Normal file
30
great_ai/src/great_ai/utilities/matcher/fast_tokenize.py
Normal file
|
|
@ -0,0 +1,30 @@
|
||||||
|
import re
|
||||||
|
from typing import List, Union
|
||||||
|
|
||||||
|
from segtok.tokenizer import word_tokenizer
|
||||||
|
|
||||||
|
from ..get_sentences import get_sentences
|
||||||
|
from .normalize import normalize
|
||||||
|
|
||||||
|
|
||||||
|
def fast_tokenize(
|
||||||
|
text: Union[List[str], str], ignore_partial: bool = False
|
||||||
|
) -> List[List[str]]:
|
||||||
|
if isinstance(text, str):
|
||||||
|
text = normalize(text)
|
||||||
|
text = get_sentences(text, ignore_partial=ignore_partial)
|
||||||
|
|
||||||
|
results: List[List[str]] = []
|
||||||
|
|
||||||
|
for sentence in text:
|
||||||
|
sentence = re.sub(r"\bare\b", "is", sentence)
|
||||||
|
sentence = re.sub(r"\ban\b", "a", sentence)
|
||||||
|
sentence = re.sub(r"\bthese\b", "this", sentence)
|
||||||
|
results.append(
|
||||||
|
[
|
||||||
|
token.lower() if token not in {"CITATION", "NUMBER"} else token
|
||||||
|
for token in word_tokenizer(sentence)
|
||||||
|
]
|
||||||
|
)
|
||||||
|
|
||||||
|
return results
|
||||||
66
great_ai/src/great_ai/utilities/matcher/filter_sentences.py
Normal file
66
great_ai/src/great_ai/utilities/matcher/filter_sentences.py
Normal file
|
|
@ -0,0 +1,66 @@
|
||||||
|
from pathlib import Path
|
||||||
|
from typing import Dict, List, Union
|
||||||
|
|
||||||
|
import yaml
|
||||||
|
from spacy.matcher import Matcher
|
||||||
|
|
||||||
|
from ..get_sentences import get_sentences
|
||||||
|
from ..nlp import nlp
|
||||||
|
from .fast_tokenize import fast_tokenize
|
||||||
|
from .normalize import normalize
|
||||||
|
|
||||||
|
rules_cache: Dict[str, Matcher] = {}
|
||||||
|
|
||||||
|
|
||||||
|
def filter_sentences(
|
||||||
|
sentences: str,
|
||||||
|
rules_file: Path,
|
||||||
|
inverse: bool = False,
|
||||||
|
ignore_partial: bool = False,
|
||||||
|
) -> List[str]:
|
||||||
|
if str(rules_file) not in rules_cache:
|
||||||
|
with open(rules_file, encoding="utf-8") as f:
|
||||||
|
rule_patterns = yaml.safe_load(f).keys()
|
||||||
|
|
||||||
|
matcher = Matcher(nlp.vocab)
|
||||||
|
rules = [_pattern_to_rule(p) for p in rule_patterns]
|
||||||
|
matcher.add("", rules)
|
||||||
|
rules_cache[str(rules_file)] = matcher
|
||||||
|
|
||||||
|
matcher = rules_cache[str(rules_file)]
|
||||||
|
|
||||||
|
original_sentences = get_sentences(sentences, ignore_partial=ignore_partial)
|
||||||
|
|
||||||
|
tokenized = fast_tokenize(original_sentences, ignore_partial=ignore_partial)
|
||||||
|
|
||||||
|
results: List[str] = []
|
||||||
|
for original_sentence, sentence in zip(original_sentences, tokenized):
|
||||||
|
doc = nlp(normalize(" ".join(sentence)))
|
||||||
|
matches = matcher(doc)
|
||||||
|
if matches:
|
||||||
|
# _, start, end = max(
|
||||||
|
# matches,
|
||||||
|
# key=lambda v: v[2] - v[1],
|
||||||
|
# )
|
||||||
|
# print(str(doc[start:end]))
|
||||||
|
|
||||||
|
if not inverse:
|
||||||
|
results.append(original_sentence)
|
||||||
|
elif inverse:
|
||||||
|
results.append(original_sentence)
|
||||||
|
|
||||||
|
return results
|
||||||
|
|
||||||
|
|
||||||
|
def _pattern_to_rule(pattern: str) -> List[Dict[str, Union[bool, str]]]:
|
||||||
|
result: List[Dict[str, Union[bool, str]]] = []
|
||||||
|
for t in pattern.split():
|
||||||
|
if t == "*":
|
||||||
|
result.extend([{"OP": "?"}, {"OP": "?"}])
|
||||||
|
elif t == "CITATION":
|
||||||
|
result.append({"ORTH": "CITATION"})
|
||||||
|
elif t == "NUMBER":
|
||||||
|
result.append({"ORTH": "NUMBER"})
|
||||||
|
else:
|
||||||
|
result.append({"LOWER": t})
|
||||||
|
return result
|
||||||
22
great_ai/src/great_ai/utilities/matcher/normalize.py
Normal file
22
great_ai/src/great_ai/utilities/matcher/normalize.py
Normal file
|
|
@ -0,0 +1,22 @@
|
||||||
|
import re
|
||||||
|
|
||||||
|
from ..clean import clean
|
||||||
|
|
||||||
|
|
||||||
|
def normalize(text: str) -> str:
|
||||||
|
text = re.sub(
|
||||||
|
r"""
|
||||||
|
([A-Z]\w+\W+(et\ al.)) # inline reference: Bank et al.
|
||||||
|
| (\[[0-9-, ]+\]) # IEEE style: [1], [2-4], [3, 5]
|
||||||
|
| (\(.*?,?\W+?\d+\)) # APA style: (Bank, 2020)
|
||||||
|
| ([A-Z]\w+ \(?\d+\)) # APA style: Bank (2020)
|
||||||
|
""",
|
||||||
|
" CITATION ",
|
||||||
|
text,
|
||||||
|
flags=re.VERBOSE,
|
||||||
|
)
|
||||||
|
text = re.sub(r"\d[\d,. -]*(st|nd|rd|th)?", " NUMBER ", text)
|
||||||
|
text = clean(text, convert_to_ascii=True)
|
||||||
|
text = re.sub(r"[^a-zA-Z.?!,:;'\" -]", "", text)
|
||||||
|
|
||||||
|
return text
|
||||||
|
|
@ -1,21 +1,21 @@
|
||||||
try:
|
try:
|
||||||
import en_core_web_lg
|
import en_core_web_sm
|
||||||
except ImportError:
|
except ImportError:
|
||||||
import subprocess
|
import subprocess
|
||||||
|
|
||||||
print("Spacy model en_core_web_lg not found locally, downloading...")
|
print("Spacy model en_core_web_sm not found locally, downloading...")
|
||||||
|
|
||||||
subprocess.call(
|
subprocess.call(
|
||||||
[
|
[
|
||||||
"pip",
|
"pip",
|
||||||
"install",
|
"install",
|
||||||
"https://github.com/explosion/spacy-models/releases/download/en_core_web_lg-3.2.0/en_core_web_lg-3.2.0-py3-none-any.whl",
|
"https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.3.0/en_core_web_sm-3.3.0-py3-none-any.whl",
|
||||||
]
|
]
|
||||||
)
|
)
|
||||||
import en_core_web_lg
|
import en_core_web_sm
|
||||||
|
|
||||||
from .external.negspacy import negation # noqa: F401 it's important to import this
|
from .external.negspacy import negation # noqa: F401 it's important to import this
|
||||||
|
|
||||||
nlp = en_core_web_lg.load()
|
nlp = en_core_web_sm.load()
|
||||||
|
|
||||||
nlp.add_pipe("negex")
|
nlp.add_pipe("negex")
|
||||||
|
|
|
||||||
|
|
@ -9,16 +9,13 @@ from .logger import create_logger
|
||||||
|
|
||||||
logger = create_logger("parallel_map")
|
logger = create_logger("parallel_map")
|
||||||
|
|
||||||
|
|
||||||
def parallel_map(
|
def parallel_map(
|
||||||
function: Callable[[Any], Any],
|
function: Callable[[Any], Any],
|
||||||
values: Iterable[Any],
|
values: Iterable[Any],
|
||||||
chunk_size: Optional[int] = None,
|
chunk_size: Optional[int] = None,
|
||||||
concurrency: Optional[int] = None,
|
concurrency: int = psutil.cpu_count(),
|
||||||
disable_progress: bool = False,
|
disable_progress: bool = False,
|
||||||
) -> List[Any]:
|
) -> List[Any]:
|
||||||
if concurrency is None:
|
|
||||||
concurrency = psutil.cpu_count()
|
|
||||||
assert concurrency > 0
|
assert concurrency > 0
|
||||||
assert chunk_size is None or chunk_size > 0
|
assert chunk_size is None or chunk_size > 0
|
||||||
|
|
||||||
|
|
|
||||||
|
|
@ -1,5 +1,7 @@
|
||||||
from .affiliation import Affiliation
|
from .affiliation import Affiliation
|
||||||
from .author import Author
|
from .author import Author
|
||||||
|
from .bookmark import Bookmark
|
||||||
|
from .bookmark_title import BookmarkTitle
|
||||||
from .element import Element, Meta, MetaType, Paragraph, Title
|
from .element import Element, Meta, MetaType, Paragraph, Title
|
||||||
from .publication_metadata import PublicationMetadata
|
from .publication_metadata import PublicationMetadata
|
||||||
from .text import Text
|
from .text import Text
|
||||||
|
|
|
||||||
|
|
@ -0,0 +1,10 @@
|
||||||
|
from pydantic import BaseModel
|
||||||
|
|
||||||
|
from .bookmark_title import BookmarkTitle
|
||||||
|
|
||||||
|
|
||||||
|
class Bookmark(BaseModel):
|
||||||
|
title: BookmarkTitle
|
||||||
|
original_title: str
|
||||||
|
document_order: int
|
||||||
|
coordinates: str
|
||||||
|
|
@ -0,0 +1,16 @@
|
||||||
|
from typing import Literal
|
||||||
|
|
||||||
|
BookmarkTitle = Literal[
|
||||||
|
"Abstract",
|
||||||
|
"Author contribution",
|
||||||
|
"Introduction",
|
||||||
|
"Background",
|
||||||
|
"Methods",
|
||||||
|
"Results",
|
||||||
|
"Discussion",
|
||||||
|
"Outlook",
|
||||||
|
"Conclusion",
|
||||||
|
"Conflict of interest",
|
||||||
|
"Acknowledgement",
|
||||||
|
"Annex",
|
||||||
|
]
|
||||||
|
|
@ -1,7 +1,9 @@
|
||||||
|
from typing import Optional
|
||||||
|
|
||||||
from pydantic import BaseModel
|
from pydantic import BaseModel
|
||||||
|
|
||||||
|
|
||||||
class Text(BaseModel):
|
class Text(BaseModel):
|
||||||
content: str
|
content: str
|
||||||
document_order: int
|
document_order: int
|
||||||
coordinates: str
|
coordinates: Optional[str]
|
||||||
|
|
|
||||||
|
|
@ -1,22 +1,43 @@
|
||||||
from functools import cached_property
|
import os
|
||||||
from typing import Any, List, Optional, Union
|
import re
|
||||||
|
from functools import cached_property, lru_cache
|
||||||
|
from pathlib import Path
|
||||||
|
from typing import Any, List, Optional, Pattern, Tuple, Union
|
||||||
|
|
||||||
from bs4 import BeautifulSoup
|
from bs4 import BeautifulSoup
|
||||||
from bs4.element import NavigableString, Tag
|
from bs4.element import NavigableString, Tag
|
||||||
|
from sus.publication_tei.models.element import Paragraph
|
||||||
from great_ai.utilities.publication_tei.models.element import Paragraph
|
|
||||||
|
|
||||||
from ..clean import clean
|
from ..clean import clean
|
||||||
from .models import Affiliation, Author, Element, Meta, PublicationMetadata, Text, Title
|
from ..lemmatize_text import lemmatize_text
|
||||||
|
from ..matcher import filter_sentences
|
||||||
|
from ..unique import unique
|
||||||
|
from .models import (
|
||||||
|
Affiliation,
|
||||||
|
Author,
|
||||||
|
Bookmark,
|
||||||
|
BookmarkTitle,
|
||||||
|
Element,
|
||||||
|
Meta,
|
||||||
|
MetaType,
|
||||||
|
PublicationMetadata,
|
||||||
|
Text,
|
||||||
|
Title,
|
||||||
|
)
|
||||||
|
from .titles_of_interest import titles_of_interest
|
||||||
|
|
||||||
|
THIS_FOLDER = Path(os.path.dirname(os.path.abspath(__file__)))
|
||||||
|
|
||||||
|
|
||||||
class PublicationTEI:
|
class PublicationTEI:
|
||||||
|
# remove template sentenaces, such as copyright notices
|
||||||
|
agressive_cleaning_enabled = True
|
||||||
|
|
||||||
def __init__(self, tei: str):
|
def __init__(self, tei: str):
|
||||||
self._document_order_counter = 0
|
self._document_order_counter = 0
|
||||||
|
|
||||||
if tei:
|
if tei:
|
||||||
cleaned_xml = clean(tei, ignore_xml=True)
|
self.soup = BeautifulSoup(tei, "xml")
|
||||||
self.soup = BeautifulSoup(cleaned_xml, "xml")
|
|
||||||
else:
|
else:
|
||||||
self.soup = BeautifulSoup()
|
self.soup = BeautifulSoup()
|
||||||
|
|
||||||
|
|
@ -79,6 +100,132 @@ class PublicationTEI:
|
||||||
for sentence in element.sentences
|
for sentence in element.sentences
|
||||||
]
|
]
|
||||||
|
|
||||||
|
@cached_property
|
||||||
|
def bookmarks(self) -> List[Bookmark]:
|
||||||
|
candidates: List[Bookmark] = [
|
||||||
|
*self._find_matching_meta("Abstract", "abstract_start")[0],
|
||||||
|
*self._find_matching_title("Abstract"),
|
||||||
|
*self._find_matching_title("Author contribution"),
|
||||||
|
*self._find_matching_meta("Acknowledgement", "acknowledgements_start")[0],
|
||||||
|
*self._find_matching_title("Acknowledgement"),
|
||||||
|
*self._find_matching_title("Conflict of interest"),
|
||||||
|
]
|
||||||
|
|
||||||
|
_, start = self._find_matching_meta(None, "abstract_end")
|
||||||
|
|
||||||
|
candidates += [
|
||||||
|
*self._find_matching_title("Background", start),
|
||||||
|
*self._find_matching_title("Methods", start),
|
||||||
|
*self._find_matching_title("Results", start),
|
||||||
|
*self._find_matching_title("Discussion", start),
|
||||||
|
*self._find_matching_title("Introduction", start),
|
||||||
|
*self._find_matching_title("Conclusion", start),
|
||||||
|
*self._find_matching_title("Outlook", start),
|
||||||
|
*self._find_matching_meta("Annex", "annex_start", start)[0],
|
||||||
|
]
|
||||||
|
|
||||||
|
candidates = sorted(candidates, key=lambda c: c.document_order)
|
||||||
|
candidates = unique(candidates, key=lambda c: c.document_order)
|
||||||
|
candidates = unique(candidates, key=lambda c: c.title)
|
||||||
|
|
||||||
|
return candidates
|
||||||
|
|
||||||
|
@cached_property
|
||||||
|
def abstract_sentences(self) -> List[Text]:
|
||||||
|
try:
|
||||||
|
abstract_start = next(
|
||||||
|
i
|
||||||
|
for i, m in enumerate(self.content)
|
||||||
|
if isinstance(m, Meta) and m.meta_type == "abstract_start"
|
||||||
|
)
|
||||||
|
abstract_end = next(
|
||||||
|
i
|
||||||
|
for i, m in enumerate(self.content)
|
||||||
|
if isinstance(m, Meta) and m.meta_type == "abstract_end"
|
||||||
|
)
|
||||||
|
return [
|
||||||
|
s
|
||||||
|
for p in self.content[abstract_start:abstract_end]
|
||||||
|
if isinstance(p, Paragraph)
|
||||||
|
for s in p.sentences
|
||||||
|
]
|
||||||
|
except StopIteration:
|
||||||
|
pass # let's try another way
|
||||||
|
|
||||||
|
try:
|
||||||
|
abstract_start = next(
|
||||||
|
m.document_order for m in self.bookmarks if m.title == "Abstract"
|
||||||
|
)
|
||||||
|
abstract_sentences: List[Text] = []
|
||||||
|
for c in self.content:
|
||||||
|
if isinstance(c, Paragraph):
|
||||||
|
abstract_sentences.extend(
|
||||||
|
s for s in c.sentences if s.document_order > abstract_start
|
||||||
|
)
|
||||||
|
elif len(abstract_sentences) >= 5:
|
||||||
|
break
|
||||||
|
return abstract_sentences
|
||||||
|
except StopIteration:
|
||||||
|
pass # let's try another way
|
||||||
|
|
||||||
|
return self.sentences[:10]
|
||||||
|
|
||||||
|
@cached_property
|
||||||
|
def introduction_sentences(self) -> List[Text]:
|
||||||
|
"""Includes abstract"""
|
||||||
|
introduction_end = 4
|
||||||
|
|
||||||
|
try:
|
||||||
|
introduction_start = [
|
||||||
|
m.document_order for m in self.bookmarks if m.title == "Introduction"
|
||||||
|
][-1]
|
||||||
|
|
||||||
|
for m in self.bookmarks:
|
||||||
|
if m.title != "Introduction" and m.document_order > introduction_start:
|
||||||
|
introduction_end = m.document_order
|
||||||
|
break
|
||||||
|
except IndexError:
|
||||||
|
pass
|
||||||
|
|
||||||
|
try:
|
||||||
|
introduction_end = max(
|
||||||
|
next(
|
||||||
|
i
|
||||||
|
for i, m in enumerate(self.content)
|
||||||
|
if isinstance(m, Meta) and m.meta_type == "abstract_end"
|
||||||
|
),
|
||||||
|
introduction_end,
|
||||||
|
)
|
||||||
|
except StopIteration:
|
||||||
|
pass
|
||||||
|
|
||||||
|
introduction_sentences: List[Text] = []
|
||||||
|
for c in self.content:
|
||||||
|
if isinstance(c, Paragraph):
|
||||||
|
introduction_sentences.extend(
|
||||||
|
s for s in c.sentences if s.document_order < introduction_end
|
||||||
|
)
|
||||||
|
|
||||||
|
return introduction_sentences
|
||||||
|
|
||||||
|
@cached_property
|
||||||
|
def conclusion_sentences(self) -> List[Text]:
|
||||||
|
try:
|
||||||
|
conclusion_start = next(
|
||||||
|
m.document_order for m in self.bookmarks if m.title == "Conclusion"
|
||||||
|
)
|
||||||
|
conclusion_sentences: List[Text] = []
|
||||||
|
for c in self.content:
|
||||||
|
if isinstance(c, Paragraph):
|
||||||
|
conclusion_sentences.extend(
|
||||||
|
s for s in c.sentences if s.document_order > conclusion_start
|
||||||
|
)
|
||||||
|
elif len(conclusion_sentences) >= 8:
|
||||||
|
break
|
||||||
|
return conclusion_sentences
|
||||||
|
except StopIteration:
|
||||||
|
return self.sentences[-10:]
|
||||||
|
|
||||||
def _parse_author(self, raw: Tag) -> Author:
|
def _parse_author(self, raw: Tag) -> Author:
|
||||||
return Author(
|
return Author(
|
||||||
name=(
|
name=(
|
||||||
|
|
@ -133,7 +280,9 @@ class PublicationTEI:
|
||||||
results.append(Meta(meta_type="annex_start"))
|
results.append(Meta(meta_type="annex_start"))
|
||||||
results.extend(self._get_primitives(r))
|
results.extend(self._get_primitives(r))
|
||||||
results.append(Meta(meta_type="annex_end"))
|
results.append(Meta(meta_type="annex_end"))
|
||||||
elif not r.find_parents(["abstract", "div"]):
|
elif not r.find_parents(
|
||||||
|
["abstract", "div", "figure"]
|
||||||
|
): # figures are omitted as well
|
||||||
results.extend(self._get_primitives(r))
|
results.extend(self._get_primitives(r))
|
||||||
|
|
||||||
return results
|
return results
|
||||||
|
|
@ -143,14 +292,20 @@ class PublicationTEI:
|
||||||
|
|
||||||
for r in raw.find_all(["head", "p"]):
|
for r in raw.find_all(["head", "p"]):
|
||||||
if r.name == "head" and r.get("coords") and r.get_text():
|
if r.name == "head" and r.get("coords") and r.get_text():
|
||||||
results.append(Title(text=self._parse_text(r)))
|
text = self._parse_text(r)
|
||||||
|
if text:
|
||||||
|
results.append(Title(text=text))
|
||||||
elif r.name == "p" and r.find_all("s"):
|
elif r.name == "p" and r.find_all("s"):
|
||||||
results.append(
|
results.append(
|
||||||
Paragraph(
|
Paragraph(
|
||||||
sentences=[
|
sentences=[
|
||||||
self._parse_text(sentence)
|
t
|
||||||
for sentence in r.find_all("s")
|
for t in [
|
||||||
if sentence.get_text()
|
self._parse_text(sentence, ignore_partial=True)
|
||||||
|
for sentence in r.find_all("s")
|
||||||
|
if sentence.get_text()
|
||||||
|
]
|
||||||
|
if t
|
||||||
]
|
]
|
||||||
)
|
)
|
||||||
)
|
)
|
||||||
|
|
@ -164,9 +319,25 @@ class PublicationTEI:
|
||||||
clean(element.get_text(separator=" ", strip=True)) if element else default
|
clean(element.get_text(separator=" ", strip=True)) if element else default
|
||||||
)
|
)
|
||||||
|
|
||||||
def _parse_text(self, raw: Tag) -> Text:
|
def _parse_text(self, raw: Tag, ignore_partial: bool = False) -> Optional[Text]:
|
||||||
|
text = raw.get_text()
|
||||||
|
if text is None:
|
||||||
|
return None
|
||||||
|
|
||||||
|
if self.agressive_cleaning_enabled:
|
||||||
|
filtered = filter_sentences(
|
||||||
|
text,
|
||||||
|
THIS_FOLDER / "templates.yaml",
|
||||||
|
inverse=True,
|
||||||
|
ignore_partial=ignore_partial,
|
||||||
|
)
|
||||||
|
text = " ".join(filtered)
|
||||||
|
|
||||||
|
if not text.strip():
|
||||||
|
return None
|
||||||
|
|
||||||
return Text(
|
return Text(
|
||||||
content=clean(raw.get_text()),
|
content=text,
|
||||||
document_order=self._generate_document_order_id(),
|
document_order=self._generate_document_order_id(),
|
||||||
coordinates=raw.get("coords"),
|
coordinates=raw.get("coords"),
|
||||||
)
|
)
|
||||||
|
|
@ -175,3 +346,78 @@ class PublicationTEI:
|
||||||
value = self._document_order_counter
|
value = self._document_order_counter
|
||||||
self._document_order_counter += 1
|
self._document_order_counter += 1
|
||||||
return value
|
return value
|
||||||
|
|
||||||
|
def _find_matching_meta(
|
||||||
|
self,
|
||||||
|
bookmark_title: Optional[BookmarkTitle],
|
||||||
|
meta_type: MetaType,
|
||||||
|
start: int = 0,
|
||||||
|
) -> Tuple[List[Bookmark], int]:
|
||||||
|
for i, e in enumerate(self.content[start:], start=start):
|
||||||
|
if not isinstance(e, Meta):
|
||||||
|
continue
|
||||||
|
|
||||||
|
if e.meta_type == meta_type:
|
||||||
|
for e_next in self.content[i + 1 :]:
|
||||||
|
if isinstance(e_next, Title):
|
||||||
|
return [
|
||||||
|
Bookmark(
|
||||||
|
title=bookmark_title,
|
||||||
|
original_title=e_next.text.content,
|
||||||
|
document_order=e_next.text.document_order,
|
||||||
|
coordinates=e_next.text.coordinates,
|
||||||
|
)
|
||||||
|
] if bookmark_title else [], i
|
||||||
|
if isinstance(e_next, Paragraph) and e_next.sentences:
|
||||||
|
return [
|
||||||
|
Bookmark(
|
||||||
|
title=bookmark_title,
|
||||||
|
original_title="",
|
||||||
|
document_order=e_next.sentences[0].document_order,
|
||||||
|
coordinates=e_next.sentences[0].coordinates,
|
||||||
|
)
|
||||||
|
] if bookmark_title else [], i
|
||||||
|
|
||||||
|
return [], 0
|
||||||
|
|
||||||
|
def _find_matching_title(
|
||||||
|
self,
|
||||||
|
bookmark_title: BookmarkTitle,
|
||||||
|
start: int = 0,
|
||||||
|
) -> List[Bookmark]:
|
||||||
|
return [
|
||||||
|
Bookmark(
|
||||||
|
title=bookmark_title,
|
||||||
|
original_title=e.text.content,
|
||||||
|
document_order=e.text.document_order,
|
||||||
|
coordinates=e.text.coordinates,
|
||||||
|
)
|
||||||
|
for e in self.content[start:]
|
||||||
|
if isinstance(e, Title)
|
||||||
|
and self._match_title(e.text.content, titles_of_interest[bookmark_title])
|
||||||
|
]
|
||||||
|
|
||||||
|
@staticmethod
|
||||||
|
def _match_title(title: str, keywords: Tuple[Union[Pattern, str], ...]) -> bool:
|
||||||
|
title = PublicationTEI._process_section_title(title)
|
||||||
|
|
||||||
|
if any(
|
||||||
|
PublicationTEI._process_section_title(k) in title
|
||||||
|
for k in keywords
|
||||||
|
if isinstance(k, str)
|
||||||
|
):
|
||||||
|
return True
|
||||||
|
|
||||||
|
return any(k.match(title) for k in keywords if isinstance(k, Pattern))
|
||||||
|
|
||||||
|
@staticmethod
|
||||||
|
@lru_cache(maxsize=2000)
|
||||||
|
def _process_section_title(title: str) -> str:
|
||||||
|
title = re.sub(r"^\s*[ivx]+[.,)]? ", "", title) # Remove leading Roman-numerals
|
||||||
|
title = clean(title, convert_to_ascii=True)
|
||||||
|
title = re.sub(
|
||||||
|
r"[^a-zA-Z ]", "", title
|
||||||
|
) # Remove everything but letters and spaces (hypens are also removed)
|
||||||
|
title_tokens = lemmatize_text(title)
|
||||||
|
title = " ".join(t for t in title_tokens if t.strip())
|
||||||
|
return title
|
||||||
|
|
|
||||||
837
great_ai/src/great_ai/utilities/publication_tei/templates.yaml
Normal file
837
great_ai/src/great_ai/utilities/publication_tei/templates.yaml
Normal file
|
|
@ -0,0 +1,837 @@
|
||||||
|
included in the article's creative commons: 3827
|
||||||
|
is a open access article distributed: 3822
|
||||||
|
a open access article distributed under: 3761
|
||||||
|
open access article distributed under the: 3761
|
||||||
|
access article distributed under the terms: 3761
|
||||||
|
the terms and conditions of the: 3688
|
||||||
|
this article is a open access: 3678
|
||||||
|
article is a open access article: 3678
|
||||||
|
article distributed under the terms and: 3678
|
||||||
|
distributed under the terms and conditions: 3678
|
||||||
|
under the terms and conditions of: 3678
|
||||||
|
terms and conditions of the creative: 3678
|
||||||
|
and conditions of the creative commons: 3678
|
||||||
|
conditions of the creative commons attribution: 3678
|
||||||
|
in the article's creative commons licence: 3503
|
||||||
|
authors declare that they have no: 3315
|
||||||
|
https :// doi.org / NUMBER /: 3189
|
||||||
|
the authors declare that they have: 3015
|
||||||
|
remains neutral with regard to jurisdictional: 2464
|
||||||
|
neutral with regard to jurisdictional claims: 2464
|
||||||
|
with regard to jurisdictional claims in: 2464
|
||||||
|
regard to jurisdictional claims in published: 2462
|
||||||
|
to jurisdictional claims in published maps: 2462
|
||||||
|
the original author ( s ): 2461
|
||||||
|
jurisdictional claims in published maps and: 2461
|
||||||
|
claims in published maps and institutional: 2461
|
||||||
|
author ( s ) and the: 2460
|
||||||
|
original author ( s ) and: 2456
|
||||||
|
in published maps and institutional affiliations: 2415
|
||||||
|
nature remains neutral with regard to: 2399
|
||||||
|
springer nature remains neutral with regard: 2392
|
||||||
|
( s ) and the source: 2353
|
||||||
|
of the creative commons attribution CITATION: 2302
|
||||||
|
", provide a link to the": 2299
|
||||||
|
the source , provide a link: 2293
|
||||||
|
source , provide a link to: 2293
|
||||||
|
you give appropriate credit to the: 2292
|
||||||
|
give appropriate credit to the original: 2292
|
||||||
|
appropriate credit to the original author: 2292
|
||||||
|
and indicate if changes were made: 2289
|
||||||
|
credit to the original author (: 2281
|
||||||
|
to the original author ( s: 2281
|
||||||
|
provide a link to the creative: 2280
|
||||||
|
a link to the creative commons: 2280
|
||||||
|
s ) and the source ,: 2279
|
||||||
|
) and the source , provide: 2277
|
||||||
|
and the source , provide a: 2277
|
||||||
|
", and indicate if changes were": 2271
|
||||||
|
at https :// doi.org / NUMBER: 2195
|
||||||
|
creative commons attribution NUMBER international license: 2158
|
||||||
|
", distribution and reproduction in any": 2158
|
||||||
|
distribution and reproduction in any medium: 2157
|
||||||
|
can be found online at https: 2106
|
||||||
|
be found online at https ://: 2106
|
||||||
|
article can be found online at: 2069
|
||||||
|
license , which permits use ,: 2063
|
||||||
|
this article can be found online: 2010
|
||||||
|
online version contains supplementary material available: 1980
|
||||||
|
supplementary material available at https ://: 1979
|
||||||
|
version contains supplementary material available at: 1978
|
||||||
|
contains supplementary material available at https: 1973
|
||||||
|
the online version contains supplementary material: 1957
|
||||||
|
note springer nature remains neutral with: 1956
|
||||||
|
other third party material in this: 1945
|
||||||
|
to view a copy of this: 1945
|
||||||
|
or other third party material in: 1944
|
||||||
|
need to obtain permission directly from: 1944
|
||||||
|
to obtain permission directly from the: 1944
|
||||||
|
images or other third party material: 1943
|
||||||
|
regulation or exceeds the permitted use: 1943
|
||||||
|
or exceeds the permitted use ,: 1943
|
||||||
|
obtain permission directly from the copyright: 1943
|
||||||
|
the permitted use , you will: 1942
|
||||||
|
by statutory regulation or exceeds the: 1941
|
||||||
|
statutory regulation or exceeds the permitted: 1941
|
||||||
|
exceeds the permitted use , you: 1941
|
||||||
|
use , you will need to: 1941
|
||||||
|
", you will need to obtain": 1941
|
||||||
|
you will need to obtain permission: 1941
|
||||||
|
permitted use , you will need: 1940
|
||||||
|
will need to obtain permission directly: 1940
|
||||||
|
permitted by statutory regulation or exceeds: 1939
|
||||||
|
publisher's note springer nature remains neutral: 1939
|
||||||
|
and your intended use is not: 1938
|
||||||
|
your intended use is not permitted: 1938
|
||||||
|
not permitted by statutory regulation or: 1938
|
||||||
|
intended use is not permitted by: 1937
|
||||||
|
is not permitted by statutory regulation: 1937
|
||||||
|
permission directly from the copyright holder: 1937
|
||||||
|
use is not permitted by statutory: 1936
|
||||||
|
material is not included in the: 1933
|
||||||
|
the images or other third party: 1932
|
||||||
|
if material is not included in: 1926
|
||||||
|
in a credit line to the: 1924
|
||||||
|
otherwise in a credit line to: 1923
|
||||||
|
this article is included in the: 1922
|
||||||
|
third party material in this article: 1921
|
||||||
|
party material in this article is: 1921
|
||||||
|
material in this article is included: 1921
|
||||||
|
in this article is included in: 1921
|
||||||
|
", unless indicated otherwise in a": 1920
|
||||||
|
indicated otherwise in a credit line: 1920
|
||||||
|
is included in the article's creative: 1919
|
||||||
|
unless indicated otherwise in a credit: 1919
|
||||||
|
article is included in the article's: 1918
|
||||||
|
a credit line to the material: 1914
|
||||||
|
not included in the article's creative: 1907
|
||||||
|
is not included in the article's: 1906
|
||||||
|
is licensed under a creative commons: 1898
|
||||||
|
authors declare no conflict of interest: 1883
|
||||||
|
and reproduction in any medium or: 1870
|
||||||
|
reproduction in any medium or format: 1870
|
||||||
|
in any medium or format ,: 1870
|
||||||
|
any medium or format , as: 1870
|
||||||
|
medium or format , as long: 1870
|
||||||
|
or format , as long as: 1870
|
||||||
|
format , as long as you: 1869
|
||||||
|
", as long as you give": 1869
|
||||||
|
as long as you give appropriate: 1869
|
||||||
|
long as you give appropriate credit: 1869
|
||||||
|
as you give appropriate credit to: 1869
|
||||||
|
", adaptation , distribution and reproduction": 1866
|
||||||
|
adaptation , distribution and reproduction in: 1866
|
||||||
|
use , sharing , adaptation ,: 1861
|
||||||
|
", sharing , adaptation , distribution": 1861
|
||||||
|
sharing , adaptation , distribution and: 1861
|
||||||
|
NUMBER international license , which permits: 1846
|
||||||
|
article is licensed under a creative: 1839
|
||||||
|
this article is licensed under a: 1838
|
||||||
|
under a creative commons attribution NUMBER: 1817
|
||||||
|
licensed under a creative commons attribution: 1811
|
||||||
|
a creative commons attribution NUMBER international: 1807
|
||||||
|
view a copy of this licence: 1799
|
||||||
|
a copy of this licence ,: 1799
|
||||||
|
copy of this licence , visit: 1799
|
||||||
|
of this licence , visit http: 1796
|
||||||
|
this licence , visit http ://: 1796
|
||||||
|
access this article is licensed under: 1794
|
||||||
|
the authors would like to thank: 1793
|
||||||
|
which permits use , sharing ,: 1791
|
||||||
|
permits use , sharing , adaptation: 1790
|
||||||
|
", which permits use , sharing": 1789
|
||||||
|
open access this article is licensed: 1782
|
||||||
|
international license , which permits use: 1776
|
||||||
|
attribution NUMBER international license , which: 1773
|
||||||
|
commons attribution NUMBER international license ,: 1772
|
||||||
|
creative commons licence and your intended: 1769
|
||||||
|
commons licence and your intended use: 1768
|
||||||
|
licence and your intended use is: 1768
|
||||||
|
the article's creative commons licence and: 1762
|
||||||
|
article's creative commons licence and your: 1762
|
||||||
|
creative commons licence , unless indicated: 1750
|
||||||
|
commons licence , unless indicated otherwise: 1749
|
||||||
|
licence , unless indicated otherwise in: 1749
|
||||||
|
article's creative commons licence , unless: 1743
|
||||||
|
the article's creative commons licence ,: 1742
|
||||||
|
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those of the authors and do: 414
|
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all authors have read and agreed: 413
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that there is no conflict of: 411
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attribution NUMBER international license ( http: 410
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author ( s ) received no: 405
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consent was obtained from all subjects: 404
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authors have no conflicts of interest: 403
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( s ) received no financial: 403
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||||||
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s ) received no financial support: 403
|
||||||
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) received no financial support for: 403
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contributed to the article and approved: 400
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to the article and approved the: 400
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authors contributed to the article and: 397
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the author ( s ) received: 396
|
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the article and approved the submitted: 396
|
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article and approved the submitted version: 395
|
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informed consent statement informed consent was: 393
|
||||||
|
accountable for all aspects of the: 389
|
||||||
|
https :// www.mdpi.com / article /: 389
|
||||||
|
:// www.mdpi.com / article / NUMBER: 389
|
||||||
|
consent statement informed consent was obtained: 389
|
||||||
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at https :// www.mdpi.com / article: 388
|
||||||
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statement informed consent was obtained from: 388
|
||||||
|
no role in the design of: 385
|
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) for their contribution to the: 383
|
||||||
|
", we would like to thank": 381
|
||||||
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is available on request from the: 378
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had no role in study design: 377
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responsibility for the integrity of the: 375
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of the creative commons attribution NUMBER: 375
|
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in the supporting information section at: 374
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the supporting information section at the: 374
|
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|
supporting information section at the end: 374
|
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reviewer ( s ) for their: 374
|
||||||
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this study is available on request: 373
|
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all authors contributed to the article: 373
|
||||||
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( s ) for their contribution: 372
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s ) for their contribution to: 372
|
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", analysis and interpretation of data": 371
|
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available on request from the corresponding: 370
|
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in accordance with the ethical standards: 370
|
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the manuscript for important intellectual content: 368
|
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for all aspects of the work: 367
|
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role in the design of the: 367
|
||||||
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authors declare no conflicts of interest: 366
|
||||||
|
", analysis , and interpretation of": 365
|
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on request from the corresponding author: 364
|
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be accountable for all aspects of: 362
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obtained from all subjects involved in: 361
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funders had no role in the: 360
|
||||||
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for scientific research ( nwo ): 359
|
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the creative commons attribution NUMBER international: 359
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was obtained from all subjects involved: 359
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authors and do not necessarily represent: 358
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to be accountable for all aspects: 356
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original work is properly cited ,: 355
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data in the writing of the: 354
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no role in study design ,: 353
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from all subjects involved in the: 353
|
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all subjects involved in the study: 351
|
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provenance and peer review not commissioned: 346
|
||||||
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study is available on request from: 346
|
||||||
|
there is no conflict of interest: 346
|
||||||
|
wrote the first draft of the: 345
|
||||||
|
NUMBER / NUMBER / NUMBER /: 345
|
||||||
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written informed consent to participate in: 341
|
||||||
|
commons attribution NUMBER international license (: 341
|
||||||
|
interpretation of data in the writing: 339
|
||||||
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of data in the writing of: 339
|
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ses / by / NUMBER /: 337
|
||||||
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we would also like to thank: 336
|
||||||
|
the integrity of the data and: 335
|
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and peer review not commissioned externally: 334
|
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of this study was to assess: 334
|
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peer review not commissioned externally peer: 332
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review not commissioned externally peer reviewed: 332
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declare that there is no conflict: 331
|
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role in study design , data: 328
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written informed consent was obtained from: 327
|
||||||
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no conflicts of interest to declare: 326
|
||||||
|
consent to participate in this study: 326
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|
in the article's creative commons license: 326
|
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do not necessarily represent those of: 325
|
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( http :// creativecommons.org / licenses: 324
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the authors have no conflicts of: 322
|
||||||
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informed consent to participate in this: 322
|
||||||
|
with the ethical standards of the: 322
|
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|
license ( http :// creativecommons.org /: 322
|
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solely those of the authors and: 322
|
||||||
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and do not necessarily represent those: 322
|
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|
in this article is solely those: 320
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this article is solely those of: 320
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article is solely those of the: 320
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integrity of the data and the: 319
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of the data and the accuracy: 319
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the data and the accuracy of: 319
|
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|
accordance with the ethical standards of: 319
|
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data and the accuracy of the: 318
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during the conduct of the study: 317
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the creative commons attribution CITATION ,: 317
|
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expressed in this article is solely: 316
|
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and approved the final version of: 315
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publisher's note all claims expressed in: 315
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note all claims expressed in this: 315
|
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all claims expressed in this article: 315
|
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claims expressed in this article is: 315
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not necessarily represent those of their: 315
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|
necessarily represent those of their affiliated: 315
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represent those of their affiliated organizations: 315
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or those of the publisher ,: 315
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those of the publisher , the: 314
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of the publisher , the editors: 314
|
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in the writing of the manuscript: 313
|
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affiliated organizations , or those of: 312
|
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organizations , or those of the: 312
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or claim that may be made: 312
|
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claim that may be made by: 312
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that may be made by its: 312
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is not guaranteed or endorsed by: 312
|
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not guaranteed or endorsed by the: 312
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guaranteed or endorsed by the publisher: 312
|
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|
authors would like to thank all: 311
|
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|
related to this article can be: 311
|
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|
those of their affiliated organizations ,: 311
|
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|
of their affiliated organizations , or: 311
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their affiliated organizations , or those: 311
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", or those of the publisher": 311
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any product that may be evaluated: 311
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this article , or claim that: 311
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article , or claim that may: 311
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", or claim that may be": 311
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product that may be evaluated in: 310
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may be made by its manufacturer: 310
|
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the accuracy of the data analysis: 309
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", there is a need to": 309
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of the creative commons attribution license: 309
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that may be evaluated in this: 309
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may be evaluated in this article: 309
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be made by its manufacturer ,: 309
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made by its manufacturer , is: 309
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by its manufacturer , is not: 309
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its manufacturer , is not guaranteed: 309
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manufacturer , is not guaranteed or: 309
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", is not guaranteed or endorsed": 309
|
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|
", there is a lack of": 308
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the authors declare no conflicts of: 308
|
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be evaluated in this article ,: 308
|
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evaluated in this article , or: 308
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in this article , or claim: 308
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the data in the study and: 306
|
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|
in this paper , we present: 306
|
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|
information may be found in the: 305
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|
this study was to investigate the: 305
|
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", on the one hand ,": 305
|
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may be found in the online: 304
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is not publicly available due to: 304
|
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authors report no conflicts of interest: 304
|
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|
online version , at doi NUMBER: 303
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version , at doi NUMBER /: 303
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supporting information may be found in: 302
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in the public , commercial or: 301
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from any funding agency in the: 300
|
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any funding agency in the public: 300
|
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were in accordance with the ethical: 300
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the publisher , the editors and: 300
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publisher , the editors and the: 300
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", the editors and the reviewers": 300
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funding agency in the public ,: 299
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agency in the public , commercial: 299
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found in the online version of: 297
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there is no conflicts of interest: 295
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can be found in the online: 295
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article can be found in the: 291
|
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|
use , distribution and reproduction in: 289
|
||||||
|
the online version of this article: 287
|
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|
before it is published in its: 287
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it is published in its final: 287
|
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to submit the manuscript for publication: 286
|
||||||
|
international license ( http :// creativecommons.org: 285
|
||||||
|
is published in its final form: 285
|
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|
decision to submit the manuscript for: 284
|
||||||
|
", which permits use , distribution": 284
|
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|
which permits use , distribution and: 284
|
||||||
|
permits use , distribution and reproduction: 284
|
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|
", as shown in fig. NUMBER": 284
|
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|
errors may be discovered which could: 284
|
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|
may be discovered which could affect: 284
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|
be discovered which could affect the: 284
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discovered which could affect the content: 284
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which could affect the content ,: 284
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could affect the content , and: 284
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affect the content , and all: 284
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the content , and all legal: 284
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content , and all legal disclaimers: 284
|
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|
all legal disclaimers that apply to: 283
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|
legal disclaimers that apply to the: 283
|
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|
disclaimers that apply to the journal: 283
|
||||||
|
design , data collection and analysis: 282
|
||||||
|
", and all legal disclaimers that": 282
|
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|
and all legal disclaimers that apply: 282
|
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|
from the european union's horizon NUMBER: 280
|
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|
and the other , anonymous ,: 280
|
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|
is a pdf file of a: 278
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this article can be found in: 277
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|
helsinki declaration and its later amendments: 276
|
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|
NUMBER helsinki declaration and its later: 275
|
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|
the NUMBER helsinki declaration and its: 274
|
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|
during the production process , errors: 274
|
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the production process , errors may: 274
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production process , errors may be: 274
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process , errors may be discovered: 274
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|
this is a pdf file of: 273
|
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|
review before it is published in: 273
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", errors may be discovered which": 273
|
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|
will undergo additional copyediting , typesetting: 271
|
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|
and review before it is published: 271
|
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|
note that , during the production: 271
|
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|
that , during the production process: 271
|
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|
", during the production process ,": 271
|
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|
with the NUMBER helsinki declaration and: 270
|
||||||
|
this version will undergo additional copyediting: 270
|
||||||
|
version will undergo additional copyediting ,: 270
|
||||||
|
undergo additional copyediting , typesetting and: 270
|
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|
additional copyediting , typesetting and review: 270
|
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|
copyediting , typesetting and review before: 270
|
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|
", typesetting and review before it": 270
|
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|
typesetting and review before it is: 270
|
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|
published in its final form ,: 270
|
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|
in its final form , but: 270
|
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|
its final form , but we: 270
|
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|
final form , but we is: 270
|
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|
form , but we is providing: 270
|
||||||
|
", but we is providing this": 270
|
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|
but we is providing this version: 270
|
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|
we is providing this version to: 270
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|
is providing this version to give: 270
|
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|
providing this version to give early: 270
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|
this version to give early visibility: 270
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|
version to give early visibility of: 270
|
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to give early visibility of the: 270
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give early visibility of the article: 270
|
||||||
|
please note that , during the: 270
|
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|
netherlands organization for scientific research (: 269
|
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|
acute respiratory syndrome coronavirus NUMBER CITATION: 268
|
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|
a pdf file of a article: 268
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|
pdf file of a article that: 268
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file of a article that has: 268
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of a article that has undergone: 268
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a article that has undergone enhancements: 268
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article that has undergone enhancements after: 268
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that has undergone enhancements after acceptance: 268
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has undergone enhancements after acceptance ,: 268
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undergone enhancements after acceptance , such: 268
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enhancements after acceptance , such as: 268
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after acceptance , such as the: 268
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acceptance , such as the addition: 268
|
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as the addition of a cover: 268
|
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the addition of a cover page: 268
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addition of a cover page and: 268
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of a cover page and metadata: 268
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a cover page and metadata ,: 268
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cover page and metadata , and: 268
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page and metadata , and formatting: 268
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and metadata , and formatting for: 268
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metadata , and formatting for readability: 268
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formatting for readability , but it: 268
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for readability , but it is: 268
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readability , but it is not: 268
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but it is not yet the: 268
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it is not yet the definitive: 268
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|
is not yet the definitive version: 268
|
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not yet the definitive version of: 268
|
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|
yet the definitive version of record: 268
|
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and its later amendments or comparable: 267
|
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its later amendments or comparable ethical: 267
|
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|
the netherlands organisation for scientific research: 265
|
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analysis and interpretation of data ,: 265
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NUMBER https :// doi.org / NUMBER: 265
|
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|
later amendments or comparable ethical standards: 265
|
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|
the public , commercial or not-for-profit: 265
|
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the aim of this paper is: 263
|
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|
"% , NUMBER % and NUMBER": 262
|
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|
the other , anonymous , reviewer: 261
|
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|
and with the NUMBER helsinki declaration: 260
|
||||||
|
human participants were reviewed and approved: 259
|
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|
participants were reviewed and approved by: 259
|
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|
involving human participants were reviewed and: 258
|
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|
studies involving human participants were reviewed: 257
|
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|
and analysis , decision to publish: 257
|
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|
it should be noted that the: 257
|
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|
in the decision to publish the: 256
|
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|
study design , data collection ,: 256
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|
found in the online version at: 256
|
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the authors report no conflicts of: 255
|
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|
under the terms of the creat: 255
|
||||||
|
the terms of the creat ive: 255
|
||||||
|
terms of the creat ive commo: 255
|
||||||
|
of the creat ive commo ns: 255
|
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|
the creat ive commo ns attri: 255
|
||||||
|
they have no conflicts of interest: 255
|
||||||
|
data presented in this study is: 255
|
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|
participants provided their written informed consent: 254
|
||||||
|
their written informed consent to participate: 254
|
||||||
|
the decision to publish the results: 254
|
||||||
|
the data presented in this study: 254
|
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|
provided their written informed consent to: 253
|
||||||
|
CITATION license , which permits others: 252
|
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|
license , which permits others to: 252
|
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|
all authors approved the final version: 251
|
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|
that apply to the journal pertain: 251
|
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|
anonymous , reviewer ( s ): 251
|
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|
study is included in the article: 250
|
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|
other , anonymous , reviewer (: 250
|
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|
", anonymous , reviewer ( s": 250
|
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", reviewer ( s ) for": 250
|
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|
@ -0,0 +1,145 @@
|
||||||
|
import re
|
||||||
|
from typing import Dict, Pattern, Tuple, Union
|
||||||
|
|
||||||
|
from .models import BookmarkTitle
|
||||||
|
|
||||||
|
# partly inspired by https://github.com/KMCS-NII/AASC/blob/master/section_classify/section_classify.pl
|
||||||
|
titles_of_interest: Dict[BookmarkTitle, Tuple[Union[str, Pattern], ...]] = {
|
||||||
|
"Abstract": ("abstract",),
|
||||||
|
"Author contribution": (
|
||||||
|
"author contribution",
|
||||||
|
"credit authorship contribution statement",
|
||||||
|
"credit author statement",
|
||||||
|
"corresponding author",
|
||||||
|
),
|
||||||
|
"Introduction": (
|
||||||
|
"introduction",
|
||||||
|
"preliminaries",
|
||||||
|
"research question",
|
||||||
|
"objective",
|
||||||
|
"purpose",
|
||||||
|
re.compile(r"^aim$"),
|
||||||
|
"proposition",
|
||||||
|
"what this study adds",
|
||||||
|
"what does this study add",
|
||||||
|
),
|
||||||
|
"Background": (
|
||||||
|
"background",
|
||||||
|
"previous",
|
||||||
|
"prior",
|
||||||
|
"relevant work",
|
||||||
|
"state of the art",
|
||||||
|
"related work",
|
||||||
|
"research in context",
|
||||||
|
"earlier work",
|
||||||
|
"related work",
|
||||||
|
"problem",
|
||||||
|
"challenge",
|
||||||
|
"goal",
|
||||||
|
"literature review",
|
||||||
|
re.compile(r"^review$"),
|
||||||
|
re.compile(r"^existing"),
|
||||||
|
"comparison with existing literature",
|
||||||
|
"literature search",
|
||||||
|
"comparison with other studies",
|
||||||
|
"study area",
|
||||||
|
),
|
||||||
|
"Methods": (
|
||||||
|
"method",
|
||||||
|
"approach",
|
||||||
|
re.compile(r"^our"),
|
||||||
|
"proposed",
|
||||||
|
"study design",
|
||||||
|
"procedure",
|
||||||
|
"formulation",
|
||||||
|
"methodology",
|
||||||
|
"research design",
|
||||||
|
"study protocol",
|
||||||
|
"design",
|
||||||
|
re.compile(r"experimental (?!result)"),
|
||||||
|
"overview",
|
||||||
|
"approach",
|
||||||
|
"system",
|
||||||
|
"definition",
|
||||||
|
"algorithm",
|
||||||
|
"model",
|
||||||
|
"setup",
|
||||||
|
"implementation",
|
||||||
|
"evaluation metric",
|
||||||
|
"scheme",
|
||||||
|
),
|
||||||
|
"Results": (
|
||||||
|
"result",
|
||||||
|
"data",
|
||||||
|
"outcome",
|
||||||
|
"statistic",
|
||||||
|
"statistics",
|
||||||
|
"statistical analysis",
|
||||||
|
"analysis",
|
||||||
|
"measure",
|
||||||
|
"experiment",
|
||||||
|
"finding",
|
||||||
|
"hypothesis testing",
|
||||||
|
"proof of proposition",
|
||||||
|
"proof of concept",
|
||||||
|
"report",
|
||||||
|
"implication of all the available evidence",
|
||||||
|
"contribution",
|
||||||
|
"evaluation",
|
||||||
|
"performance",
|
||||||
|
"demonstration",
|
||||||
|
"demonstrating",
|
||||||
|
"example",
|
||||||
|
"study",
|
||||||
|
"studies",
|
||||||
|
"qualitative comparison",
|
||||||
|
"quantitative comparison",
|
||||||
|
"validation",
|
||||||
|
),
|
||||||
|
"Discussion": (
|
||||||
|
"discussion",
|
||||||
|
"recommendation",
|
||||||
|
"implication",
|
||||||
|
"findings",
|
||||||
|
"impact",
|
||||||
|
"limitation",
|
||||||
|
"assessment",
|
||||||
|
"quality assessment",
|
||||||
|
"interpretation",
|
||||||
|
"contribution",
|
||||||
|
"explanation",
|
||||||
|
),
|
||||||
|
"Outlook": (
|
||||||
|
"outlook",
|
||||||
|
"future research",
|
||||||
|
"future",
|
||||||
|
"follow up",
|
||||||
|
"remaining",
|
||||||
|
"prospect",
|
||||||
|
"perspective",
|
||||||
|
),
|
||||||
|
"Conclusion": (
|
||||||
|
"conclusion",
|
||||||
|
"conclude",
|
||||||
|
"concluding",
|
||||||
|
"concluding",
|
||||||
|
"final remark",
|
||||||
|
"remark",
|
||||||
|
"conclusie",
|
||||||
|
),
|
||||||
|
"Conflict of interest": (
|
||||||
|
"compete interest",
|
||||||
|
"funding support and author disclosure",
|
||||||
|
"conflict of interest",
|
||||||
|
"disclosure statement",
|
||||||
|
"role of the funding source",
|
||||||
|
"disclaimer",
|
||||||
|
"conflicting interest",
|
||||||
|
"declaration of interest",
|
||||||
|
"risk of bias",
|
||||||
|
"funding",
|
||||||
|
"disclosure",
|
||||||
|
"declaration",
|
||||||
|
),
|
||||||
|
"Acknowledgement": ("acknowledgement", "acknowledgment"),
|
||||||
|
}
|
||||||
|
|
@ -4,7 +4,7 @@ from typing import Any, Callable, Iterable, List
|
||||||
def unique(
|
def unique(
|
||||||
values: Iterable[Any], *, key: Callable[[Any], Any] = lambda v: v
|
values: Iterable[Any], *, key: Callable[[Any], Any] = lambda v: v
|
||||||
) -> List[Any]:
|
) -> List[Any]:
|
||||||
"""Only keep first occurrences and maintian order"""
|
"""Only keep first occurrences and maintain order"""
|
||||||
|
|
||||||
key_values = {}
|
key_values = {}
|
||||||
for v in values:
|
for v in values:
|
||||||
|
|
|
||||||
File diff suppressed because it is too large
Load diff
|
|
@ -3,6 +3,7 @@ import unittest
|
||||||
from src.great_ai.utilities.clean import clean
|
from src.great_ai.utilities.clean import clean
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
class TestClean(unittest.TestCase):
|
class TestClean(unittest.TestCase):
|
||||||
def test_xml_handling(self) -> None:
|
def test_xml_handling(self) -> None:
|
||||||
xml = '<strong>Hi, </strong> my name<br/>is <span style="color: hotpink;"> András</span>! <3 <> < ></><> <> <|'
|
xml = '<strong>Hi, </strong> my name<br/>is <span style="color: hotpink;"> András</span>! <3 <> < ></><> <> <|'
|
||||||
|
|
@ -59,6 +60,13 @@ class TestClean(unittest.TestCase):
|
||||||
|
|
||||||
self.assertEqual(clean(text), cleaned)
|
self.assertEqual(clean(text), cleaned)
|
||||||
|
|
||||||
|
def test_T_I_T_L_E_case(self) -> None:
|
||||||
|
text = "an a r t i c l e is to F I N D the purpose of a tree"
|
||||||
|
|
||||||
|
cleaned = "an article is to FIND the purpose of a tree"
|
||||||
|
|
||||||
|
self.assertEqual(clean(text), cleaned)
|
||||||
|
|
||||||
def test_bracket_removal(self) -> None:
|
def test_bracket_removal(self) -> None:
|
||||||
text = "something [0], and [frefe, ferf]"
|
text = "something [0], and [frefe, ferf]"
|
||||||
cleaned = "something, and"
|
cleaned = "something, and"
|
||||||
|
|
|
||||||
|
|
@ -3,6 +3,7 @@ import unittest
|
||||||
from src.great_ai.utilities.get_sentences import get_sentences
|
from src.great_ai.utilities.get_sentences import get_sentences
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
class TestGetSentences(unittest.TestCase):
|
class TestGetSentences(unittest.TestCase):
|
||||||
def test_default(self) -> None:
|
def test_default(self) -> None:
|
||||||
text = "This is a complete sentence. So is this. However this is n" # ot.
|
text = "This is a complete sentence. So is this. However this is n" # ot.
|
||||||
|
|
|
||||||
|
|
@ -57,7 +57,7 @@ class TestLemmatizeText(unittest.TestCase):
|
||||||
"to_PART",
|
"to_PART",
|
||||||
"create_VERB",
|
"create_VERB",
|
||||||
"a_DET",
|
"a_DET",
|
||||||
"less_ADJ",
|
"less_ADV",
|
||||||
"resource_NOUN",
|
"resource_NOUN",
|
||||||
"-_PUNCT",
|
"-_PUNCT",
|
||||||
"intensive_ADJ",
|
"intensive_ADJ",
|
||||||
|
|
@ -117,7 +117,7 @@ class TestLemmatizeText(unittest.TestCase):
|
||||||
"to_PART",
|
"to_PART",
|
||||||
"create_VERB",
|
"create_VERB",
|
||||||
"a_DET",
|
"a_DET",
|
||||||
"less_ADJ",
|
"less_ADV",
|
||||||
"resource_NOUN",
|
"resource_NOUN",
|
||||||
"-_PUNCT",
|
"-_PUNCT",
|
||||||
"intensive_ADJ",
|
"intensive_ADJ",
|
||||||
|
|
|
||||||
|
|
@ -3,6 +3,7 @@ import unittest
|
||||||
from src.great_ai.utilities.match_names.match_names import match_names
|
from src.great_ai.utilities.match_names.match_names import match_names
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
class TestMatchNames(unittest.TestCase):
|
class TestMatchNames(unittest.TestCase):
|
||||||
def test_grid(self) -> None:
|
def test_grid(self) -> None:
|
||||||
names = [
|
names = [
|
||||||
|
|
|
||||||
|
|
@ -3,7 +3,17 @@ from pathlib import Path
|
||||||
|
|
||||||
from src.great_ai.utilities.publication_tei import PublicationTEI
|
from src.great_ai.utilities.publication_tei import PublicationTEI
|
||||||
|
|
||||||
from .data.parsed import authors, content, metadata, sentences
|
|
||||||
|
from .data.parsed import (
|
||||||
|
abstract,
|
||||||
|
authors,
|
||||||
|
bookmarks,
|
||||||
|
conclusion,
|
||||||
|
content,
|
||||||
|
introduction,
|
||||||
|
metadata,
|
||||||
|
sentences,
|
||||||
|
)
|
||||||
|
|
||||||
DATA_PATH = Path(__file__).parent.resolve() / "data"
|
DATA_PATH = Path(__file__).parent.resolve() / "data"
|
||||||
|
|
||||||
|
|
@ -30,6 +40,20 @@ class TestPublicationTEI(unittest.TestCase):
|
||||||
def test_sentences(self) -> None:
|
def test_sentences(self) -> None:
|
||||||
self.assertEqual(PublicationTEI(self.test_xml).sentences, sentences)
|
self.assertEqual(PublicationTEI(self.test_xml).sentences, sentences)
|
||||||
|
|
||||||
|
def test_bookmarks(self) -> None:
|
||||||
|
self.assertEqual(PublicationTEI(self.test_xml).bookmarks, bookmarks)
|
||||||
|
|
||||||
|
def test_abstract(self) -> None:
|
||||||
|
self.assertEqual(PublicationTEI(self.test_xml).abstract_sentences, abstract)
|
||||||
|
|
||||||
|
def test_introduction(self) -> None:
|
||||||
|
self.assertEqual(
|
||||||
|
PublicationTEI(self.test_xml).introduction_sentences, introduction
|
||||||
|
)
|
||||||
|
|
||||||
|
def test_conclusion(self) -> None:
|
||||||
|
self.assertEqual(PublicationTEI(self.test_xml).conclusion_sentences, conclusion)
|
||||||
|
|
||||||
def test_empty1(self) -> None:
|
def test_empty1(self) -> None:
|
||||||
tei = PublicationTEI("<TEI/>")
|
tei = PublicationTEI("<TEI/>")
|
||||||
tei.publication_metadata, tei.publication_metadata, tei.authors, tei.content, tei.sentences
|
tei.publication_metadata, tei.publication_metadata, tei.authors, tei.content, tei.sentences
|
||||||
|
|
|
||||||
|
|
@ -2,6 +2,7 @@ import unittest
|
||||||
|
|
||||||
from src.great_ai.utilities.unique import unique
|
from src.great_ai.utilities.unique import unique
|
||||||
|
|
||||||
|
|
||||||
original = [
|
original = [
|
||||||
("a", 1),
|
("a", 1),
|
||||||
("b", 5),
|
("b", 5),
|
||||||
|
|
|
||||||
Loading…
Add table
Add a link
Reference in a new issue