Add files
Signed-off-by: András Schmelczer <andras@schmelczer.dev>
This commit is contained in:
commit
d79a75d352
102 changed files with 24317 additions and 0 deletions
1
good_ai/src/__init__.py
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1
good_ai/src/__init__.py
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1
good_ai/src/open_s3/__init__.py
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1
good_ai/src/open_s3/__init__.py
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from .large_file import LargeFile
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35
good_ai/src/open_s3/__main__.py
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35
good_ai/src/open_s3/__main__.py
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#!/usr/bin/env python3
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import logging
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from pathlib import Path
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from large_file import LargeFile
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from parse_arguments import parse_arguments
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if __name__ == "__main__":
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logging.basicConfig(level=logging.INFO)
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parser, args = parse_arguments()
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LargeFile.configure_credentials_from_file(args.secrets)
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if not args.cache and not args.push and not args.delete:
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logging.warn("No action required.")
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parser.print_help()
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try:
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if args.cache:
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for c in args.cache:
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split = c.split(":")
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file_name = split[0]
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version = None if len(split) == 1 else int(split[1])
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LargeFile(file_name, "r", version=version).get()
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if args.push:
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for p in args.push:
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path = Path(p)
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LargeFile(path.name, "w").push(path)
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if args.delete:
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for f in args.delete:
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LargeFile(f).delete()
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except Exception as e:
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logging.error(e)
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2
good_ai/src/open_s3/helper/__init__.py
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2
good_ai/src/open_s3/helper/__init__.py
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from .progress_bar import DownloadProgressBar, UploadProgressBar
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from .human_readable_to_byte import human_readable_to_byte
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31
good_ai/src/open_s3/helper/human_readable_to_byte.py
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31
good_ai/src/open_s3/helper/human_readable_to_byte.py
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import re
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def human_readable_to_byte(size: str) -> int:
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"""Case is ignored, kb, kB, Kb, and KB are all treated as kilobyte."""
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if size.strip() == "0":
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return 0
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possible_units = ("B", "KB", "MB", "GB", "TB", "PB", "EB", "ZB", "YB")
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units_re = "|".join(possible_units)
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regex = re.compile(
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rf"""
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\s* # trim
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(?P<scalar>\d+(.\d+)?) # get scalar, it might be a float
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\s* # ignore optional whitespace
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(?P<unit>{units_re}) # capture the unit
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""",
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flags=re.VERBOSE | re.IGNORECASE,
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)
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match = regex.match(size)
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if not match:
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raise ValueError(f'Could not find values in "{size}"')
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results = match.groupdict()
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scalar = float(results["scalar"])
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idx = possible_units.index(results["unit"].upper())
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factor = 1024 ** idx
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return round(scalar * factor)
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40
good_ai/src/open_s3/helper/progress_bar.py
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40
good_ai/src/open_s3/helper/progress_bar.py
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import os
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import threading
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from logging import Logger
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from typing import IO, Any, Optional
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from tqdm.auto import tqdm
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from pathlib import Path
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import os
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import sys
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import threading
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class ProgressBar:
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def __init__(self, file_size: int, logger: Logger, prefix: str):
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self._file_size = file_size
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self._logger = logger
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self._prefix=prefix
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self._seen_so_far = 0
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self._lock = threading.Lock()
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def __call__(self, bytes_amount: int):
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with self._lock:
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self._seen_so_far += bytes_amount
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percentage = (self._seen_so_far / float(self._file_size)) * 100
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size_length = len(str(self._file_size))
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progress = str(self._seen_so_far).rjust(size_length)
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self._logger.info(f"{self._prefix} {progress}/{self._file_size} bytes ({percentage:.1f}%)")
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class DownloadProgressBar(ProgressBar):
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def __init__(self, name: str, size: int, logger: Logger):
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super().__init__(file_size=size, logger=logger, prefix=f'Downloading {name}')
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class UploadProgressBar(ProgressBar):
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def __init__(self, path: Path, logger: Logger):
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size = os.path.getsize(path)
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super().__init__(file_size=size, logger=logger, prefix=f'Uploading {path.name}')
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346
good_ai/src/open_s3/large_file.py
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346
good_ai/src/open_s3/large_file.py
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import configparser
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import logging
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import os
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import shutil
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import tempfile
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from pathlib import Path
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from types import TracebackType
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from typing import IO, Any, Dict, List, Optional, Type, Union
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import boto3
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from botocore.exceptions import ClientError
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from helper import DownloadProgressBar, UploadProgressBar, human_readable_to_byte
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logger = logging.getLogger("open_s3")
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class LargeFile:
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"""
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Store large files in S3. Use local cache for speed up.
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Examples:
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```
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with LargeFile("test.txt", "w", keep_last_n=3) as f:
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for i in range(1000000):
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f.write('test\n')
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with LargeFile("test.txt", "r") as f:
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print(f.readlines()[0])
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path_to_cached_text_file = LargeFile("test.txt", version=0).get()
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```
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By default, files are stored in the ".cache" folder and the
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least recently use is deleted after the overall size reaches 30 GBs.
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Change it with the following properties.
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```
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LargeFile.cache_path = Path(".cache")
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LargeFile.max_cache_size = "30GB"
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```
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"""
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region_name = None
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access_key_id = None
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secret_access_key = None
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bucket_name = None
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endpoint_url = None
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cache_path = Path(".cache")
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max_cache_size: Optional[str] = "30GB"
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def __init__(
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self,
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name: str,
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mode: str = "r",
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*,
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buffering: int = -1,
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encoding: Optional[str] = None,
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errors: Optional[str] = None,
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newline: Optional[str] = None,
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version: Optional[int] = None,
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keep_last_n: Optional[int] = None,
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offline_mode: bool = False
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):
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self._name: str = name
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self._version = version
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self._mode: str = mode
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self._keep_last_n = keep_last_n
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self._offline_mode = offline_mode
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self._buffering = buffering
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self._encoding = encoding
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self._errors = errors
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self._newline = newline
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LargeFile.cache_path.mkdir(parents=True, exist_ok=True)
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self._find_versions()
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self._check_mode_and_set_version()
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@classmethod
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def configure_credentials(
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cls,
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*,
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aws_region_name: str,
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aws_access_key_id: str,
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aws_secret_access_key: str,
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large_files_bucket_name: str,
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endpoint_url: Optional[str] = None,
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**_: Dict[str, Any],
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) -> None:
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cls.region_name = aws_region_name
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cls.access_key_id = aws_access_key_id
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cls.secret_access_key = aws_secret_access_key
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cls.bucket_name = large_files_bucket_name
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cls.endpoint_url = endpoint_url
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@classmethod
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def configure_credentials_from_file(
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cls,
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secrets_path: Union[Path, str],
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) -> None:
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if isinstance(secrets_path, str):
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secrets_path = Path(secrets_path)
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if not secrets_path.exists():
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raise FileNotFoundError(secrets_path.resolve())
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credentials = configparser.ConfigParser()
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credentials.read(secrets_path)
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credentials.default_section
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cls.configure_credentials(**credentials[credentials.default_section])
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def __enter__(self) -> IO:
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self._file: IO[Any] = (
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tempfile.NamedTemporaryFile(
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mode=self._mode,
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buffering=self._buffering,
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encoding=self._encoding,
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newline=self._newline,
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errors=self._errors,
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delete=False,
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prefix="large-file-",
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)
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if "w" in self._mode
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else open(
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self.get(),
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mode=self._mode,
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buffering=self._buffering,
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encoding=self._encoding,
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newline=self._newline,
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errors=self._errors,
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)
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)
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return self._file
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def __exit__(
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self,
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type: Optional[Type[BaseException]],
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exc: Optional[BaseException],
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traceback: Optional[TracebackType],
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) -> bool:
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self._file.close()
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if type is None:
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if "w" in self._mode:
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self.push(Path(self._file.name))
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os.unlink(self._file.name)
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else:
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logger.exception("Could not finish operation.")
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return True
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@property
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def version_ids(self) -> List[int]:
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return [self._get_version_from_key(key) for key in self._versions]
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def get(self, hide_progress: bool = False) -> Path:
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key = next(
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key
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for key in self._versions
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if self._get_version_from_key(key) == self._version
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)
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destination = self.cache_path / self._local_name
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if not destination.exists():
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logger.info(
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f"File {self._local_name} does not exist locally, starting download from S3"
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)
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with tempfile.TemporaryDirectory() as tmp:
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tmp_file_archive = Path(tmp) / f"{self._local_name}.tar.gz"
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size = self._client.head_object(Bucket=self.bucket_name, Key=key)['ContentLength']
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self._client.download_file(Bucket=self.bucket_name, Key=key, Filename=str(tmp_file_archive), Callback=None if hide_progress else DownloadProgressBar(size=size, name=key, logger=logger))
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logger.info(f"Decompressing {self._local_name}")
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shutil.unpack_archive(str(tmp_file_archive), tmp, "gztar")
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tmp_file = Path(tmp) / self._local_name
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shutil.move(str(tmp_file), str(destination))
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else:
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logger.info(f"File {self._local_name} found in cache")
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return destination
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def push(self, path: Union[Path, str], hide_progress: bool = False) -> None:
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if isinstance(path, str):
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path = Path(path)
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with tempfile.TemporaryDirectory() as tmp:
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if path.is_file():
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logger.info(f"Copying file for {self._local_name}")
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copy = shutil.copy
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else:
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logger.info(f"Copying directory for {self._local_name}")
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copy = shutil.copytree
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try:
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# Make local copy in the cache
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copy(str(path), str(self.cache_path / self._local_name))
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except shutil.SameFileError:
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pass # No worries
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copy(str(path), str(Path(tmp) / self._local_name))
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logger.info(f"Compressing {self._local_name}")
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shutil.make_archive(
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str(Path(tmp) / self._local_name),
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"gztar",
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tmp,
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)
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logger.info(f"Uploading {self._local_name} to S3 from {path}")
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file_to_be_uploaded = Path(tmp) / f"{self._local_name}.tar.gz"
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self._client.upload_file(Filename=str(file_to_be_uploaded), Bucket=self.bucket_name, Key=self._s3_name, Callback=None if hide_progress else UploadProgressBar(file_to_be_uploaded, logger=logger))
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self.clean_up()
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def delete(self) -> None:
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self._keep_last_n = 0
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self._delete_old_versions_from_s3()
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def clean_up(self) -> None:
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self._delete_old_versions_from_s3()
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self._delete_old_versions_from_disk()
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def _create_client(self) -> None:
|
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if (
|
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self.region_name is None
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or self.access_key_id is None
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or self.secret_access_key is None
|
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or self.bucket_name is None
|
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):
|
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raise ValueError(
|
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"Please configure the S3 access options by calling LargeFile.configure_credentials or set offline_mode=True in the constructor."
|
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)
|
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|
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self._client = boto3.client('s3', aws_access_key_id=self.access_key_id, aws_secret_access_key=self.secret_access_key, region_name=self.region_name, endpoint_url=self.endpoint_url)
|
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|
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def _find_versions(self) -> None:
|
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if self._offline_mode:
|
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self._fetch_versions_from_cache()
|
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else:
|
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self._create_client()
|
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self._fetch_versions_from_s3()
|
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|
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if self._versions:
|
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logger.info(f"Found versions: {self.version_ids}")
|
||||
else:
|
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logger.info("No versions found")
|
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|
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def _fetch_versions_from_cache(self) -> None:
|
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logger.info(f"Fetching offline versions of {self._name}")
|
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|
||||
self._versions = [
|
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path
|
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for path in self.cache_path.glob(f'{self._local_name}-*')
|
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]
|
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|
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def _fetch_versions_from_s3(self) -> None:
|
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logger.info(f"Fetching online versions of {self._name}")
|
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found_objects = self._client.list_objects_v2(
|
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Bucket=self.bucket_name, Prefix=self._name
|
||||
)
|
||||
self._versions = (
|
||||
sorted(
|
||||
o["Key"]
|
||||
for o in found_objects["Contents"]
|
||||
)
|
||||
if "Contents" in found_objects
|
||||
else []
|
||||
)
|
||||
|
||||
def _check_mode_and_set_version(self) -> None:
|
||||
if "+" in self._mode:
|
||||
raise ValueError("Read-write mode is not allowed.")
|
||||
|
||||
if "w" in self._mode:
|
||||
if self._version is not None:
|
||||
raise ValueError("Providing a version is not allowed in write mode.")
|
||||
|
||||
self._version = self.version_ids[-1] + 1 if self.version_ids else 0
|
||||
|
||||
elif "r" in self._mode:
|
||||
if not self.version_ids:
|
||||
raise FileNotFoundError(
|
||||
f"File {self._name} not found. No versions are available."
|
||||
)
|
||||
|
||||
if self._version is None:
|
||||
self._version = self.version_ids[-1]
|
||||
logger.info(f"Lastest version of {self._local_name} is {self._version}")
|
||||
|
||||
elif self._version not in self.version_ids:
|
||||
raise FileNotFoundError(
|
||||
f"File {self._name} not found with version {self._version}. Available versions: {self.version_ids}"
|
||||
)
|
||||
else:
|
||||
raise ValueError("Unsupported file mode.")
|
||||
|
||||
@property
|
||||
def _local_name(self) -> str:
|
||||
return f"{self._name}-{self._version}"
|
||||
|
||||
@property
|
||||
def _s3_name(self) -> str:
|
||||
return f"{self._name}/{self._version}"
|
||||
|
||||
@staticmethod
|
||||
def _get_version_from_key(key: Union[str, Path]) -> int:
|
||||
if isinstance(key, Path):
|
||||
return int(key.name.split("-")[-1])
|
||||
return int(key.split("/")[-1])
|
||||
|
||||
|
||||
def _delete_old_versions_from_s3(self) -> None:
|
||||
if self._keep_last_n is not None:
|
||||
for key in (self._versions[: -self._keep_last_n] if self._keep_last_n > 0 else self._versions):
|
||||
logger.info(
|
||||
f"Removing old version (keep_last_n={self._keep_last_n}): {key}"
|
||||
)
|
||||
self._client.delete_object(Bucket=self.bucket_name, Key=key)
|
||||
|
||||
def _delete_old_versions_from_disk(self) -> None:
|
||||
self.cache_path.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
if self.max_cache_size is None:
|
||||
return
|
||||
|
||||
allowed_size = human_readable_to_byte(self.max_cache_size)
|
||||
assert allowed_size >= 0
|
||||
|
||||
least_recently_read = sorted(
|
||||
[f for f in self.cache_path.glob("*")], key=lambda f: f.stat().st_atime
|
||||
)
|
||||
|
||||
while sum(os.path.getsize(f) for f in least_recently_read) > allowed_size:
|
||||
file = least_recently_read.pop(0)
|
||||
logger.info(
|
||||
f"Deleting file from cache to meet quota (max_cache_size={self.max_cache_size}): {file}"
|
||||
)
|
||||
os.unlink(file)
|
||||
48
good_ai/src/open_s3/parse_arguments.py
Normal file
48
good_ai/src/open_s3/parse_arguments.py
Normal file
|
|
@ -0,0 +1,48 @@
|
|||
from argparse import ArgumentParser, Namespace
|
||||
from typing import Tuple
|
||||
|
||||
|
||||
def parse_arguments() -> Tuple[ArgumentParser, Namespace]:
|
||||
parser = ArgumentParser(
|
||||
description="Store and version large files in S3; open them like regular files. Caching included.",
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"-s",
|
||||
"--secrets",
|
||||
type=str,
|
||||
help="path to an .ini configration file with your S3 credentials",
|
||||
required=True,
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"-c",
|
||||
"--cache",
|
||||
nargs="+",
|
||||
type=str,
|
||||
help="download file into local cache, example: file_name:version",
|
||||
required=False,
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"-p",
|
||||
"--push",
|
||||
nargs="+",
|
||||
type=str,
|
||||
help="push a local file into S3 and set it as the most recent version",
|
||||
required=False,
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"-d",
|
||||
"--delete",
|
||||
nargs="+",
|
||||
type=str,
|
||||
help="delete every version of file from S3",
|
||||
required=False,
|
||||
)
|
||||
|
||||
parser.print_usage = parser.print_help # type: ignore
|
||||
args = parser.parse_args()
|
||||
|
||||
return parser, args
|
||||
50
good_ai/src/sus.egg-info/PKG-INFO
Normal file
50
good_ai/src/sus.egg-info/PKG-INFO
Normal file
|
|
@ -0,0 +1,50 @@
|
|||
Metadata-Version: 2.1
|
||||
Name: sus
|
||||
Version: 0.0.3
|
||||
Summary: [S]coutinScience [u]tilitie[s]: reusable utilities for text processing
|
||||
Home-page: https://github.com/ScoutinScience/platform
|
||||
Author: ScoutinScience B.V.
|
||||
Author-email: andras@scoutinscience.com
|
||||
License: UNKNOWN
|
||||
Project-URL: Bug Tracker, https://github.com/ScoutinScience/platform/issues
|
||||
Platform: UNKNOWN
|
||||
Classifier: Programming Language :: Python :: 3
|
||||
Classifier: Operating System :: OS Independent
|
||||
Requires-Python: >=3.8
|
||||
Description-Content-Type: text/markdown
|
||||
|
||||
# **S**coutinScience **U**tilitie**S** for text processing [](https://github.com/ScoutinScience/platform/actions/workflows/sus-general.yaml)
|
||||
|
||||
> amogus
|
||||
|
||||
## Exports
|
||||
|
||||
- [clean](src/sus/clean.py)
|
||||
- [unique](src/sus/unique.py)
|
||||
- [parallel_map](src/sus/parallel_map.py)
|
||||
- [match_names](src/sus/match_names/match_names.py)
|
||||
- [evaluate_ranking](src/sus/evaluate_ranking/evaluate_ranking.py)
|
||||
|
||||
### Requires loading spacy model
|
||||
|
||||
> This is automatic but will require some time.
|
||||
|
||||
> Add this to the Dockerfile for caching the spaCy model:
|
||||
>
|
||||
> ```docker
|
||||
> 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
|
||||
> ```
|
||||
|
||||
- [spacy model (nlp)](src/sus/nlp.py)
|
||||
- [get_sentences](src/sus/get_sentences.py)
|
||||
- [lemmatize_text](src/sus/lemmatize_text.py)
|
||||
- [lemmatize_token](src/sus/lemmatize_token.py)
|
||||
- [publication TEI](src/sus/publication_tei/publication_tei.py)
|
||||
|
||||
## Development
|
||||
|
||||
- Optional booleans must have a default value of `False`.
|
||||
- No imports in top-level `__init__.py`, in order to not load anything unnecessary automatically
|
||||
- Should only be updated through a PR
|
||||
|
||||
|
||||
78
good_ai/src/sus.egg-info/SOURCES.txt
Normal file
78
good_ai/src/sus.egg-info/SOURCES.txt
Normal file
|
|
@ -0,0 +1,78 @@
|
|||
.gitignore
|
||||
README.md
|
||||
pyproject.toml
|
||||
requirements.txt
|
||||
setup.cfg
|
||||
src/__init__.py
|
||||
src/sus/__init__.py
|
||||
src/sus/clean.py
|
||||
src/sus/get_sentences.py
|
||||
src/sus/lemmatize_text.py
|
||||
src/sus/lemmatize_token.py
|
||||
src/sus/nlp.py
|
||||
src/sus/parallel_map.py
|
||||
src/sus/unique.py
|
||||
src/sus.egg-info/PKG-INFO
|
||||
src/sus.egg-info/SOURCES.txt
|
||||
src/sus.egg-info/dependency_links.txt
|
||||
src/sus.egg-info/requires.txt
|
||||
src/sus.egg-info/top_level.txt
|
||||
src/sus/data/__init__.py
|
||||
src/sus/data/american_spellings.py
|
||||
src/sus/data/punctuations.py
|
||||
src/sus/evaluate_ranking/__init__.py
|
||||
src/sus/evaluate_ranking/draw_f1_iso_lines.py
|
||||
src/sus/evaluate_ranking/evaluate_ranking.py
|
||||
src/sus/external/__init__.py
|
||||
src/sus/external/negspacy/README.md
|
||||
src/sus/external/negspacy/__init__.py
|
||||
src/sus/external/negspacy/negation.py
|
||||
src/sus/external/negspacy/termsets.py
|
||||
src/sus/external/pylatexenc/README.md
|
||||
src/sus/external/pylatexenc/__init__.py
|
||||
src/sus/external/pylatexenc/_util.py
|
||||
src/sus/external/pylatexenc/version.py
|
||||
src/sus/external/pylatexenc/latex2text/__init__.py
|
||||
src/sus/external/pylatexenc/latex2text/__main__.py
|
||||
src/sus/external/pylatexenc/latex2text/_defaultspecs.py
|
||||
src/sus/external/pylatexenc/latexencode/__init__.py
|
||||
src/sus/external/pylatexenc/latexencode/__main__.py
|
||||
src/sus/external/pylatexenc/latexencode/_partial_latex_encoder.py
|
||||
src/sus/external/pylatexenc/latexencode/_uni2latexmap.py
|
||||
src/sus/external/pylatexenc/latexencode/_uni2latexmap_xml.py
|
||||
src/sus/external/pylatexenc/latexencode/_unicode_to_latex_encoder.py
|
||||
src/sus/external/pylatexenc/latexwalker/__init__.py
|
||||
src/sus/external/pylatexenc/latexwalker/__main__.py
|
||||
src/sus/external/pylatexenc/latexwalker/_defaultspecs.py
|
||||
src/sus/external/pylatexenc/macrospec/__init__.py
|
||||
src/sus/external/pylatexenc/macrospec/_argparsers.py
|
||||
src/sus/language/__init__.py
|
||||
src/sus/language/english_name_of_language.py
|
||||
src/sus/language/is_english.py
|
||||
src/sus/language/predict_language.py
|
||||
src/sus/match_names/__init__.py
|
||||
src/sus/match_names/config.py
|
||||
src/sus/match_names/match_names.py
|
||||
src/sus/match_names/name_parts.py
|
||||
src/sus/publication_tei/__init__.py
|
||||
src/sus/publication_tei/publication_tei.py
|
||||
src/sus/publication_tei/models/__init__.py
|
||||
src/sus/publication_tei/models/affiliation.py
|
||||
src/sus/publication_tei/models/author.py
|
||||
src/sus/publication_tei/models/element.py
|
||||
src/sus/publication_tei/models/publication_metadata.py
|
||||
src/sus/publication_tei/models/text.py
|
||||
tests/__init__.py
|
||||
tests/test_clean.py
|
||||
tests/test_evaluate_ranking.py
|
||||
tests/test_get_sentences.py
|
||||
tests/test_language.py
|
||||
tests/test_lemmatize_text.py
|
||||
tests/test_lemmatize_token.py
|
||||
tests/test_match_names.py
|
||||
tests/test_parallel_map.py
|
||||
tests/test_publication_tei.py
|
||||
tests/test_unique.py
|
||||
tests/data/10.1136_bmjspcare-2021-003026.pdf.tei.xml
|
||||
tests/data/bad.tei.xml
|
||||
tests/data/parsed.py
|
||||
1
good_ai/src/sus.egg-info/dependency_links.txt
Normal file
1
good_ai/src/sus.egg-info/dependency_links.txt
Normal file
|
|
@ -0,0 +1 @@
|
|||
|
||||
14
good_ai/src/sus.egg-info/requires.txt
Normal file
14
good_ai/src/sus.egg-info/requires.txt
Normal file
|
|
@ -0,0 +1,14 @@
|
|||
click<8.1.0
|
||||
unidecode>=1.3.0
|
||||
multiprocess>=0.70.0.0
|
||||
tqdm>=4.0.0
|
||||
psutil>=5.9.0
|
||||
beautifulsoup4>=4.10.0
|
||||
lxml>=4.6.0
|
||||
spacy>=3.2.0
|
||||
pydantic>=1.8.0
|
||||
scikit-learn>=1.0.0
|
||||
matplotlib>=3.5.0
|
||||
numpy>=1.22.0
|
||||
langcodes[data]>=3.3.0
|
||||
langdetect>=1.0.9
|
||||
1
good_ai/src/sus.egg-info/top_level.txt
Normal file
1
good_ai/src/sus.egg-info/top_level.txt
Normal file
|
|
@ -0,0 +1 @@
|
|||
sus
|
||||
0
good_ai/src/sus/__init__.py
Normal file
0
good_ai/src/sus/__init__.py
Normal file
64
good_ai/src/sus/clean.py
Normal file
64
good_ai/src/sus/clean.py
Normal file
|
|
@ -0,0 +1,64 @@
|
|||
import html
|
||||
import logging
|
||||
import re
|
||||
import unicodedata
|
||||
|
||||
import unidecode
|
||||
|
||||
from .data import left_regular_punctuations, right_regular_punctuations
|
||||
from .external.pylatexenc.latex2text import LatexNodes2Text
|
||||
|
||||
logger = logging.getLogger("clean")
|
||||
latex = LatexNodes2Text()
|
||||
|
||||
|
||||
joined_left_punctuations = "".join(left_regular_punctuations).replace("]", r"\]")
|
||||
joined_right_punctuations = "".join(right_regular_punctuations).replace("[", r"\[")
|
||||
|
||||
|
||||
def clean(
|
||||
text: str,
|
||||
ignore_xml: bool = False,
|
||||
ignore_latex: bool = False,
|
||||
remove_brackets: bool = False,
|
||||
convert_to_ascii: bool = False,
|
||||
) -> str:
|
||||
if not ignore_xml:
|
||||
text = re.sub(r"<[^>]*>", " ", text)
|
||||
text = html.unescape(text)
|
||||
|
||||
if not ignore_latex:
|
||||
text = text.replace("%", "\\%") # escape LaTeX comments before parsing as LaTeX
|
||||
|
||||
try:
|
||||
text = latex.latex_to_text(text, tolerant_parsing=True, strict_braces=False)
|
||||
text = text.replace("%s", " ")
|
||||
except:
|
||||
logger.exception("Latex parsing error")
|
||||
|
||||
if convert_to_ascii:
|
||||
text = unicodedata.normalize("NFKD", text)
|
||||
|
||||
try:
|
||||
text.encode("ASCII", errors="strict")
|
||||
except UnicodeEncodeError:
|
||||
text = "".join([c for c in text if not unicodedata.combining(c)])
|
||||
text = unidecode.unidecode(text)
|
||||
|
||||
if remove_brackets:
|
||||
text = re.sub(r"\[[^\]]*\]", " ", text)
|
||||
|
||||
# fix hypens: break- word => break-word
|
||||
text = re.sub(r"(\S)-\s+", r"\1-", text)
|
||||
text = re.sub(r"\s+-(\S)", r"-\1", text)
|
||||
|
||||
# collapse whitespace
|
||||
text = re.sub(r"\s+", " ", text)
|
||||
|
||||
# fix punctuation
|
||||
text = re.sub(rf" ([{joined_left_punctuations}])", r"\1", text)
|
||||
text = re.sub(rf"([{joined_right_punctuations}]) ", r"\1", text)
|
||||
|
||||
text = text.strip()
|
||||
|
||||
return text
|
||||
6
good_ai/src/sus/data/__init__.py
Normal file
6
good_ai/src/sus/data/__init__.py
Normal file
|
|
@ -0,0 +1,6 @@
|
|||
from .american_spellings import american_spellings
|
||||
from .punctuations import (
|
||||
left_regular_punctuations,
|
||||
right_regular_punctuations,
|
||||
sentence_ending_punctuations,
|
||||
)
|
||||
1711
good_ai/src/sus/data/american_spellings.py
Normal file
1711
good_ai/src/sus/data/american_spellings.py
Normal file
File diff suppressed because it is too large
Load diff
22
good_ai/src/sus/data/punctuations.py
Normal file
22
good_ai/src/sus/data/punctuations.py
Normal file
|
|
@ -0,0 +1,22 @@
|
|||
sentence_ending_punctuations = [".", "?", "!", ":", ";"]
|
||||
|
||||
# punctuations that usually have no space between them and the character to their left
|
||||
left_regular_punctuations = [
|
||||
*sentence_ending_punctuations,
|
||||
",",
|
||||
"'",
|
||||
"%",
|
||||
")",
|
||||
"}",
|
||||
"]",
|
||||
]
|
||||
|
||||
# punctuations that usually have no space between them and the character to their right
|
||||
right_regular_punctuations = [
|
||||
"(",
|
||||
"{",
|
||||
"[",
|
||||
"$",
|
||||
"€",
|
||||
"#",
|
||||
]
|
||||
2
good_ai/src/sus/evaluate_ranking/__init__.py
Normal file
2
good_ai/src/sus/evaluate_ranking/__init__.py
Normal file
|
|
@ -0,0 +1,2 @@
|
|||
from .draw_f1_iso_lines import draw_f1_iso_lines
|
||||
from .evaluate_ranking import evaluate_ranking
|
||||
28
good_ai/src/sus/evaluate_ranking/draw_f1_iso_lines.py
Normal file
28
good_ai/src/sus/evaluate_ranking/draw_f1_iso_lines.py
Normal file
|
|
@ -0,0 +1,28 @@
|
|||
from typing import Optional
|
||||
|
||||
import matplotlib.pyplot as plt
|
||||
import numpy as np
|
||||
from matplotlib.axes import Axes
|
||||
|
||||
|
||||
def draw_f1_iso_lines(
|
||||
resolution: int = 1000,
|
||||
min: float = 0.2,
|
||||
max: float = 0.8,
|
||||
steps: int = 4,
|
||||
axes: Optional[Axes] = None,
|
||||
) -> None:
|
||||
if axes is None:
|
||||
axes = plt.axes()
|
||||
|
||||
for f_score in np.linspace(min, max, num=steps):
|
||||
x = np.linspace(f_score / (2 - f_score), 1, num=resolution)
|
||||
y = f_score * x / (2 * x - f_score)
|
||||
|
||||
axes.plot(x[y >= 0], y[y >= 0], color="gray", alpha=0.2)
|
||||
|
||||
axes.annotate(
|
||||
f"f1={f_score:0.1f}",
|
||||
backgroundcolor="w",
|
||||
xy=(0.9, y[int(resolution * 0.9)] + 0.02),
|
||||
)
|
||||
90
good_ai/src/sus/evaluate_ranking/evaluate_ranking.py
Normal file
90
good_ai/src/sus/evaluate_ranking/evaluate_ranking.py
Normal file
|
|
@ -0,0 +1,90 @@
|
|||
from pathlib import Path
|
||||
from typing import Dict, List, Optional, Union
|
||||
|
||||
import matplotlib
|
||||
import matplotlib.pyplot as plt
|
||||
import numpy as np
|
||||
from sklearn.metrics import average_precision_score, precision_recall_curve
|
||||
|
||||
from ..unique import unique
|
||||
from .draw_f1_iso_lines import draw_f1_iso_lines
|
||||
|
||||
|
||||
def evaluate_ranking(
|
||||
expected: List[Union[str, float]],
|
||||
actual_scores: List[float],
|
||||
target_recall: float,
|
||||
title: Optional[str] = "",
|
||||
disable_interpolation: bool = False,
|
||||
axes: Optional[plt.Axes] = None,
|
||||
output_svg: Optional[Path] = None,
|
||||
reverse_order: bool = False,
|
||||
plot: bool = True,
|
||||
) -> Dict[Union[str, float], float]:
|
||||
assert 0 <= target_recall <= 1
|
||||
|
||||
if plot and axes is None:
|
||||
fig = plt.figure(figsize=(20, 10))
|
||||
fig.patch.set_facecolor("white")
|
||||
ax = plt.axes()
|
||||
else:
|
||||
ax = axes
|
||||
|
||||
classes = sorted(unique(expected), reverse=reverse_order)
|
||||
str_classes = [str(c) for c in classes]
|
||||
|
||||
with matplotlib.rc_context({"font.size": 20}):
|
||||
if plot:
|
||||
ax.set_xmargin(0)
|
||||
|
||||
draw_f1_iso_lines(axes=ax)
|
||||
|
||||
results: Dict[Union[str, float], float] = {}
|
||||
for i in range(len(classes) - 1):
|
||||
binarized_expected = [
|
||||
(v < classes[i]) if reverse_order else (v > classes[i])
|
||||
for v in expected
|
||||
]
|
||||
precision, recall, _ = precision_recall_curve(
|
||||
binarized_expected, actual_scores
|
||||
)
|
||||
|
||||
if not disable_interpolation:
|
||||
for j in range(1, len(precision)):
|
||||
precision[j] = max(precision[j - 1], precision[j])
|
||||
|
||||
closest_recall_index = np.argmin(np.abs(recall - target_recall))
|
||||
precision_at_closest_recall = precision[closest_recall_index]
|
||||
average_precision = average_precision_score(
|
||||
binarized_expected, actual_scores
|
||||
)
|
||||
results[classes[i]] = precision_at_closest_recall
|
||||
|
||||
if plot:
|
||||
ax.plot(
|
||||
recall,
|
||||
precision,
|
||||
label=f"{'|'.join(str_classes[:i + 1])} ↔ {'|'.join(str_classes[i+1:])} (P@{target_recall:.2f}={precision_at_closest_recall:.2f}, AP={average_precision:.2f})",
|
||||
)
|
||||
|
||||
if plot:
|
||||
ax.legend(loc="upper right")
|
||||
ax.axvline(x=target_recall, linestyle="--", color="#55c6bb", linewidth=2.0)
|
||||
|
||||
if title is None:
|
||||
title = "Ranking evaluation"
|
||||
|
||||
ax.set_title(f'{title} ({" < ".join(str_classes)})', pad=20)
|
||||
|
||||
ax.set_xlabel("Recall")
|
||||
ax.set_ylabel("Precision")
|
||||
|
||||
ax.set_xticks([target_recall] + sorted(ax.get_xticks()))
|
||||
|
||||
if plot and output_svg is None:
|
||||
if axes is None:
|
||||
plt.show()
|
||||
elif output_svg:
|
||||
plt.savefig(output_svg, format="svg")
|
||||
|
||||
return results
|
||||
0
good_ai/src/sus/external/__init__.py
vendored
Normal file
0
good_ai/src/sus/external/__init__.py
vendored
Normal file
1
good_ai/src/sus/external/negspacy/README.md
vendored
Normal file
1
good_ai/src/sus/external/negspacy/README.md
vendored
Normal file
|
|
@ -0,0 +1 @@
|
|||
https://github.com/jenojp/negspacy
|
||||
0
good_ai/src/sus/external/negspacy/__init__.py
vendored
Normal file
0
good_ai/src/sus/external/negspacy/__init__.py
vendored
Normal file
222
good_ai/src/sus/external/negspacy/negation.py
vendored
Normal file
222
good_ai/src/sus/external/negspacy/negation.py
vendored
Normal file
|
|
@ -0,0 +1,222 @@
|
|||
import logging
|
||||
|
||||
from spacy.language import Language
|
||||
from spacy.matcher import PhraseMatcher
|
||||
from spacy.tokens import Token
|
||||
|
||||
from .termsets import termset
|
||||
|
||||
default_ts = termset("en").get_patterns()
|
||||
|
||||
|
||||
@Language.factory(
|
||||
"negex",
|
||||
default_config={
|
||||
"neg_termset": default_ts,
|
||||
"extension_name": "negex",
|
||||
"chunk_prefix": list(),
|
||||
},
|
||||
)
|
||||
class Negex:
|
||||
"""
|
||||
A spaCy pipeline component which identifies negated tokens in text.
|
||||
|
||||
Based on: NegEx - A Simple Algorithm for Identifying Negated Findings and Diseasesin Discharge Summaries
|
||||
Chapman, Bridewell, Hanbury, Cooper, Buchanan
|
||||
|
||||
Parameters
|
||||
----------
|
||||
nlp: object
|
||||
spaCy language object
|
||||
termset_lang: str
|
||||
language code, if using default termsets (e.g. "en" for english)
|
||||
extension_name: str
|
||||
defaults to "negex"; whether entity is negated is then available as ent._.negex
|
||||
pseudo_negations: list
|
||||
list of phrases that cancel out a negation, if empty, defaults are used
|
||||
preceding_negations: list
|
||||
negations that appear before an entity, if empty, defaults are used
|
||||
following_negations: list
|
||||
negations that appear after an entity, if empty, defaults are used
|
||||
termination: list
|
||||
phrases that "terminate" a sentence for processing purposes such as "but". If empty, defaults are used
|
||||
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
nlp: Language,
|
||||
name: str,
|
||||
neg_termset: dict,
|
||||
extension_name: str,
|
||||
chunk_prefix: list,
|
||||
):
|
||||
if not Token.has_extension(extension_name):
|
||||
Token.set_extension(extension_name, default=False, force=True)
|
||||
|
||||
ts = neg_termset
|
||||
expected_keys = [
|
||||
"pseudo_negations",
|
||||
"preceding_negations",
|
||||
"following_negations",
|
||||
"termination",
|
||||
]
|
||||
if not set(ts.keys()) == set(expected_keys):
|
||||
raise KeyError(
|
||||
f"Unexpected or missing keys in 'neg_termset', expected: {expected_keys}, instead got: {list(ts.keys())}"
|
||||
)
|
||||
|
||||
self.pseudo_negations = ts["pseudo_negations"]
|
||||
self.preceding_negations = ts["preceding_negations"]
|
||||
self.following_negations = ts["following_negations"]
|
||||
self.termination = ts["termination"]
|
||||
|
||||
self.nlp = nlp
|
||||
self.extension_name = extension_name
|
||||
self.build_patterns()
|
||||
self.chunk_prefix = list(nlp.tokenizer.pipe(chunk_prefix))
|
||||
|
||||
def build_patterns(self):
|
||||
# efficiently build spaCy matcher patterns
|
||||
self.matcher = PhraseMatcher(self.nlp.vocab, attr="LOWER")
|
||||
|
||||
self.pseudo_patterns = list(self.nlp.tokenizer.pipe(self.pseudo_negations))
|
||||
self.matcher.add("pseudo", None, *self.pseudo_patterns)
|
||||
|
||||
self.preceding_patterns = list(
|
||||
self.nlp.tokenizer.pipe(self.preceding_negations)
|
||||
)
|
||||
self.matcher.add("Preceding", None, *self.preceding_patterns)
|
||||
|
||||
self.following_patterns = list(
|
||||
self.nlp.tokenizer.pipe(self.following_negations)
|
||||
)
|
||||
self.matcher.add("Following", None, *self.following_patterns)
|
||||
|
||||
self.termination_patterns = list(self.nlp.tokenizer.pipe(self.termination))
|
||||
self.matcher.add("Termination", None, *self.termination_patterns)
|
||||
|
||||
def process_negations(self, doc):
|
||||
"""
|
||||
Find negations in doc and clean candidate negations to remove pseudo negations
|
||||
|
||||
Parameters
|
||||
----------
|
||||
doc: object
|
||||
spaCy Doc object
|
||||
|
||||
Returns
|
||||
-------
|
||||
preceding: list
|
||||
list of tuples for preceding negations
|
||||
following: list
|
||||
list of tuples for following negations
|
||||
terminating: list
|
||||
list of tuples of terminating phrases
|
||||
|
||||
"""
|
||||
###
|
||||
# does not work properly in spacy 2.1.8. Will incorporate after 2.2.
|
||||
# Relying on user to use NER in meantime
|
||||
# see https://github.com/jenojp/negspacy/issues/7
|
||||
###
|
||||
# if not doc.is_nered:
|
||||
# raise ValueError(
|
||||
# "Negations are evaluated for Named Entities found in text. "
|
||||
# "Your SpaCy pipeline does not included Named Entity resolution. "
|
||||
# "Please ensure it is enabled or choose a different language model that includes it."
|
||||
# )
|
||||
preceding = list()
|
||||
following = list()
|
||||
terminating = list()
|
||||
|
||||
matches = self.matcher(doc)
|
||||
pseudo = [
|
||||
(match_id, start, end)
|
||||
for match_id, start, end in matches
|
||||
if self.nlp.vocab.strings[match_id] == "pseudo"
|
||||
]
|
||||
|
||||
for match_id, start, end in matches:
|
||||
if self.nlp.vocab.strings[match_id] == "pseudo":
|
||||
continue
|
||||
pseudo_flag = False
|
||||
for p in pseudo:
|
||||
if start >= p[1] and start <= p[2]:
|
||||
pseudo_flag = True
|
||||
continue
|
||||
if not pseudo_flag:
|
||||
if self.nlp.vocab.strings[match_id] == "Preceding":
|
||||
preceding.append((match_id, start, end))
|
||||
elif self.nlp.vocab.strings[match_id] == "Following":
|
||||
following.append((match_id, start, end))
|
||||
elif self.nlp.vocab.strings[match_id] == "Termination":
|
||||
terminating.append((match_id, start, end))
|
||||
else:
|
||||
logging.warnings(
|
||||
f"phrase {doc[start:end].text} not in one of the expected matcher types."
|
||||
)
|
||||
return preceding, following, terminating
|
||||
|
||||
def termination_boundaries(self, doc, terminating):
|
||||
"""
|
||||
Create sub sentences based on terminations found in text.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
doc: object
|
||||
spaCy Doc object
|
||||
terminating: list
|
||||
list of tuples with (match_id, start, end)
|
||||
|
||||
returns
|
||||
-------
|
||||
boundaries: list
|
||||
list of tuples with (start, end) of spans
|
||||
|
||||
"""
|
||||
sent_starts = [sent.start for sent in doc.sents]
|
||||
terminating_starts = [t[1] for t in terminating]
|
||||
starts = sent_starts + terminating_starts + [len(doc)]
|
||||
starts.sort()
|
||||
boundaries = list()
|
||||
index = 0
|
||||
for i, start in enumerate(starts):
|
||||
if not i == 0:
|
||||
boundaries.append((index, start))
|
||||
index = start
|
||||
return boundaries
|
||||
|
||||
def negex(self, doc):
|
||||
"""
|
||||
Negates entities of interest
|
||||
|
||||
Parameters
|
||||
----------
|
||||
doc: object
|
||||
spaCy Doc object
|
||||
|
||||
"""
|
||||
preceding, following, terminating = self.process_negations(doc)
|
||||
boundaries = self.termination_boundaries(doc, terminating)
|
||||
for b in boundaries:
|
||||
sub_preceding = [i for i in preceding if b[0] <= i[1] < b[1]]
|
||||
sub_following = [i for i in following if b[0] <= i[1] < b[1]]
|
||||
|
||||
for e in doc[b[0] : b[1]]:
|
||||
if any(pre < e.i for pre in [i[1] for i in sub_preceding]):
|
||||
e._.set(self.extension_name, True)
|
||||
continue
|
||||
if any(fol > e.i for fol in [i[2] for i in sub_following]):
|
||||
e._.set(self.extension_name, True)
|
||||
continue
|
||||
if self.chunk_prefix:
|
||||
if any(
|
||||
e.text.lower().startswith(c.text.lower())
|
||||
for c in self.chunk_prefix
|
||||
):
|
||||
e._.set(self.extension_name, True)
|
||||
return doc
|
||||
|
||||
def __call__(self, doc):
|
||||
return self.negex(doc)
|
||||
229
good_ai/src/sus/external/negspacy/termsets.py
vendored
Normal file
229
good_ai/src/sus/external/negspacy/termsets.py
vendored
Normal file
|
|
@ -0,0 +1,229 @@
|
|||
"""
|
||||
Default termsets for various languages
|
||||
"""
|
||||
|
||||
LANGUAGES = dict()
|
||||
|
||||
# english termset dictionary
|
||||
en = dict()
|
||||
pseudo = [
|
||||
"no further",
|
||||
"not able to be",
|
||||
"not certain if",
|
||||
"not certain whether",
|
||||
"not necessarily",
|
||||
"without any further",
|
||||
"without difficulty",
|
||||
"without further",
|
||||
"might not",
|
||||
"not only",
|
||||
"no increase",
|
||||
"no significant change",
|
||||
"no change",
|
||||
"no definite change",
|
||||
"not extend",
|
||||
"not cause",
|
||||
]
|
||||
en["pseudo_negations"] = pseudo
|
||||
|
||||
preceding = [
|
||||
"absence of",
|
||||
"declined",
|
||||
"denied",
|
||||
"denies",
|
||||
"denying",
|
||||
"no sign of",
|
||||
"no signs of",
|
||||
"not",
|
||||
"not demonstrate",
|
||||
"symptoms atypical",
|
||||
"doubt",
|
||||
"negative for",
|
||||
"no",
|
||||
"versus",
|
||||
"without",
|
||||
"doesn't",
|
||||
"doesnt",
|
||||
"don't",
|
||||
"dont",
|
||||
"didn't",
|
||||
"didnt",
|
||||
"wasn't",
|
||||
"wasnt",
|
||||
"weren't",
|
||||
"werent",
|
||||
"isn't",
|
||||
"isnt",
|
||||
"aren't",
|
||||
"arent",
|
||||
"cannot",
|
||||
"can't",
|
||||
"cant",
|
||||
"couldn't",
|
||||
"couldnt",
|
||||
"never",
|
||||
]
|
||||
en["preceding_negations"] = preceding
|
||||
|
||||
following = [
|
||||
"declined",
|
||||
"unlikely",
|
||||
"was not",
|
||||
"were not",
|
||||
"wasn't",
|
||||
"wasnt",
|
||||
"weren't",
|
||||
"werent",
|
||||
]
|
||||
en["following_negations"] = following
|
||||
|
||||
termination = [
|
||||
"although",
|
||||
"apart from",
|
||||
"as there are",
|
||||
"aside from",
|
||||
"but",
|
||||
"except",
|
||||
"however",
|
||||
"involving",
|
||||
"nevertheless",
|
||||
"still",
|
||||
"though",
|
||||
"which",
|
||||
"yet",
|
||||
]
|
||||
en["termination"] = termination
|
||||
|
||||
LANGUAGES["en"] = en
|
||||
|
||||
# en_clinical builds upon en
|
||||
en_clinical = dict()
|
||||
pseudo_clinical = pseudo + [
|
||||
"gram negative",
|
||||
"not rule out",
|
||||
"not ruled out",
|
||||
"not been ruled out",
|
||||
"not drain",
|
||||
"no suspicious change",
|
||||
"no interval change",
|
||||
"no significant interval change",
|
||||
]
|
||||
en_clinical["pseudo_negations"] = pseudo_clinical
|
||||
|
||||
preceding_clinical = preceding + [
|
||||
"patient was not",
|
||||
"without indication of",
|
||||
"without sign of",
|
||||
"without signs of",
|
||||
"without any reactions or signs of",
|
||||
"no complaints of",
|
||||
"no evidence of",
|
||||
"no cause of",
|
||||
"evaluate for",
|
||||
"fails to reveal",
|
||||
"free of",
|
||||
"never developed",
|
||||
"never had",
|
||||
"did not exhibit",
|
||||
"rules out",
|
||||
"rule out",
|
||||
"rule him out",
|
||||
"rule her out",
|
||||
"rule patient out",
|
||||
"rule the patient out",
|
||||
"ruled out",
|
||||
"ruled him out",
|
||||
"ruled her out",
|
||||
"ruled patient out",
|
||||
"ruled the patient out",
|
||||
"r/o",
|
||||
"ro",
|
||||
]
|
||||
en_clinical["preceding_negations"] = preceding_clinical
|
||||
|
||||
following_clinical = following + ["was ruled out", "were ruled out", "free"]
|
||||
en_clinical["following_negations"] = following_clinical
|
||||
|
||||
termination_clinical = termination + [
|
||||
"cause for",
|
||||
"cause of",
|
||||
"causes for",
|
||||
"causes of",
|
||||
"etiology for",
|
||||
"etiology of",
|
||||
"origin for",
|
||||
"origin of",
|
||||
"origins for",
|
||||
"origins of",
|
||||
"other possibilities of",
|
||||
"reason for",
|
||||
"reason of",
|
||||
"reasons for",
|
||||
"reasons of",
|
||||
"secondary to",
|
||||
"source for",
|
||||
"source of",
|
||||
"sources for",
|
||||
"sources of",
|
||||
"trigger event for",
|
||||
]
|
||||
en_clinical["termination"] = termination_clinical
|
||||
LANGUAGES["en_clinical"] = en_clinical
|
||||
|
||||
en_clinical_sensitive = dict()
|
||||
|
||||
preceding_clinical_sensitive = preceding_clinical + [
|
||||
"concern for",
|
||||
"supposed",
|
||||
"which causes",
|
||||
"leads to",
|
||||
"h/o",
|
||||
"history of",
|
||||
"instead of",
|
||||
"if you experience",
|
||||
"if you get",
|
||||
"teaching the patient",
|
||||
"taught the patient",
|
||||
"teach the patient",
|
||||
"educated the patient",
|
||||
"educate the patient",
|
||||
"educating the patient",
|
||||
"monitored for",
|
||||
"monitor for",
|
||||
"test for",
|
||||
"tested for",
|
||||
]
|
||||
en_clinical_sensitive["pseudo_negations"] = pseudo_clinical
|
||||
en_clinical_sensitive["preceding_negations"] = preceding_clinical_sensitive
|
||||
en_clinical_sensitive["following_negations"] = following_clinical
|
||||
en_clinical_sensitive["termination"] = termination_clinical
|
||||
|
||||
LANGUAGES["en_clinical_sensitive"] = en_clinical_sensitive
|
||||
|
||||
|
||||
class termset:
|
||||
def __init__(self, termset_lang):
|
||||
self.pattern_types = [
|
||||
"pseudo_negations",
|
||||
"preceding_negations",
|
||||
"following_negations",
|
||||
"termination",
|
||||
]
|
||||
self.terms = LANGUAGES[termset_lang]
|
||||
|
||||
def get_patterns(self):
|
||||
return self.terms
|
||||
|
||||
def remove_patterns(self, pattern_dict):
|
||||
for key, value in pattern_dict.items():
|
||||
if key in self.pattern_types:
|
||||
self.terms[key] = [i for i in self.terms[key] if i not in value]
|
||||
else:
|
||||
raise ValueError(f"Unexpected key: {key} not in {self.pattern_types}")
|
||||
|
||||
def add_patterns(self, pattern_dict):
|
||||
for key, value in pattern_dict.items():
|
||||
if key in self.pattern_types:
|
||||
self.terms[key] = list(set(self.terms[key] + value))
|
||||
else:
|
||||
raise ValueError(f"Unexpected key: {key} not in {self.pattern_types}")
|
||||
1
good_ai/src/sus/external/pylatexenc/README.md
vendored
Normal file
1
good_ai/src/sus/external/pylatexenc/README.md
vendored
Normal file
|
|
@ -0,0 +1 @@
|
|||
https://github.com/phfaist/pylatexenc
|
||||
37
good_ai/src/sus/external/pylatexenc/__init__.py
vendored
Normal file
37
good_ai/src/sus/external/pylatexenc/__init__.py
vendored
Normal file
|
|
@ -0,0 +1,37 @@
|
|||
#
|
||||
# The MIT License (MIT)
|
||||
#
|
||||
# Copyright (c) 2015 Philippe Faist
|
||||
#
|
||||
# Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
# of this software and associated documentation files (the "Software"), to deal
|
||||
# in the Software without restriction, including without limitation the rights
|
||||
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
# copies of the Software, and to permit persons to whom the Software is
|
||||
# furnished to do so, subject to the following conditions:
|
||||
#
|
||||
# The above copyright notice and this permission notice shall be included in
|
||||
# all copies or substantial portions of the Software.
|
||||
#
|
||||
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
|
||||
# THE SOFTWARE.
|
||||
#
|
||||
|
||||
|
||||
"""
|
||||
Utilities for LaTeX to/from Unicode Text conversion.
|
||||
|
||||
Main Site:
|
||||
|
||||
https://github.com/phfaist/pylatexenc/
|
||||
|
||||
"""
|
||||
|
||||
from .version import version_str as _version_str
|
||||
|
||||
__version__ = _version_str
|
||||
161
good_ai/src/sus/external/pylatexenc/_util.py
vendored
Normal file
161
good_ai/src/sus/external/pylatexenc/_util.py
vendored
Normal file
|
|
@ -0,0 +1,161 @@
|
|||
# -*- coding: utf-8 -*-
|
||||
#
|
||||
# The MIT License (MIT)
|
||||
#
|
||||
# Copyright (c) 2019 Philippe Faist
|
||||
#
|
||||
# Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
# of this software and associated documentation files (the "Software"), to deal
|
||||
# in the Software without restriction, including without limitation the rights
|
||||
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
# copies of the Software, and to permit persons to whom the Software is
|
||||
# furnished to do so, subject to the following conditions:
|
||||
#
|
||||
# The above copyright notice and this permission notice shall be included in
|
||||
# all copies or substantial portions of the Software.
|
||||
#
|
||||
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
|
||||
# THE SOFTWARE.
|
||||
#
|
||||
|
||||
|
||||
# Internal module. Internal API may move, disappear or otherwise change at any
|
||||
# time and without notice.
|
||||
|
||||
|
||||
try:
|
||||
# Python >= 3.3
|
||||
from collections.abc import MutableMapping
|
||||
except ImportError:
|
||||
from collections import MutableMapping
|
||||
|
||||
import bisect
|
||||
import warnings
|
||||
|
||||
# ------------------------------------------------------------------------------
|
||||
|
||||
|
||||
def pylatexenc_deprecated_ver(ver, msg, stacklevel=2):
|
||||
warnings.warn(
|
||||
"Deprecated (pylatexenc {}): {} ".format(ver, msg.strip()),
|
||||
DeprecationWarning,
|
||||
stacklevel=stacklevel + 1,
|
||||
)
|
||||
|
||||
|
||||
def pylatexenc_deprecated_2(msg, stacklevel=2):
|
||||
warnings.warn(
|
||||
(
|
||||
"Deprecated (pylatexenc 2.0): {} "
|
||||
"[see https://pylatexenc.readthedocs.io/en/latest/new-in-pylatexenc-2/]"
|
||||
).format(msg.strip()),
|
||||
DeprecationWarning,
|
||||
stacklevel=stacklevel + 1,
|
||||
)
|
||||
|
||||
|
||||
# ------------------------------------------------------------------------------
|
||||
|
||||
|
||||
class LazyDict(MutableMapping):
|
||||
r"""
|
||||
A lazy dictionary that loads its data when it is first queried.
|
||||
|
||||
This is used to store the legacy
|
||||
:py:data:`pylatexenc.latexwalker.default_macro_dict` as well as
|
||||
:py:data:`pylatexenc.latex2text.default_macro_dict` etc. Such that these
|
||||
"dictionaries" are still exposed at the module-level, but the data is loaded
|
||||
only if they are actually queried.
|
||||
"""
|
||||
|
||||
def __init__(self, generate_dict_fn):
|
||||
self._full_dict = None
|
||||
self._generate_dict_fn = generate_dict_fn
|
||||
|
||||
def _ensure_instance(self):
|
||||
if self._full_dict is not None:
|
||||
return
|
||||
self._full_dict = self._generate_dict_fn()
|
||||
|
||||
def __getitem__(self, key):
|
||||
self._ensure_instance()
|
||||
return self._full_dict.__getitem__(key)
|
||||
|
||||
def __setitem__(self, key, val):
|
||||
self._ensure_instance()
|
||||
return self._full_dict.__setitem__(key, val)
|
||||
|
||||
def __delitem__(self, key):
|
||||
self._ensure_instance()
|
||||
return self._full_dict.__delitem__(key)
|
||||
|
||||
def __iter__(self):
|
||||
self._ensure_instance()
|
||||
return iter(self._full_dict)
|
||||
|
||||
def __len__(self):
|
||||
self._ensure_instance()
|
||||
return len(self._full_dict)
|
||||
|
||||
def copy(self):
|
||||
self._ensure_instance()
|
||||
return self._full_dict.copy()
|
||||
|
||||
def clear(self):
|
||||
self._ensure_instance()
|
||||
return self._full_dict.clear()
|
||||
|
||||
|
||||
# ------------------------------------------------------------------------------
|
||||
|
||||
|
||||
class LineNumbersCalculator(object):
|
||||
r"""
|
||||
Utility to calculate line numbers.
|
||||
"""
|
||||
|
||||
def __init__(self, s):
|
||||
super(LineNumbersCalculator, self).__init__()
|
||||
|
||||
def find_all_new_lines(x):
|
||||
# first line starts at the beginning of the string
|
||||
yield 0
|
||||
k = 0
|
||||
while k < len(x):
|
||||
k = x.find("\n", k)
|
||||
if k == -1:
|
||||
return
|
||||
k += 1
|
||||
# s[k] is the character after the newline, i.e., the 0-th column
|
||||
# of the new line
|
||||
yield k
|
||||
|
||||
self._pos_new_lines = list(find_all_new_lines(s))
|
||||
|
||||
def pos_to_lineno_colno(self, pos, as_dict=False):
|
||||
r"""
|
||||
Return the line and column number corresponding to the given `pos`.
|
||||
|
||||
Return a tuple `(lineno, colno)` giving line number and column number.
|
||||
Line numbers start at 1 and column number start at zero, i.e., the
|
||||
beginning of the document (`pos=0`) has line and column number `(1,0)`.
|
||||
If `as_dict=True`, then a dictionary with keys 'lineno', 'colno' is
|
||||
returned instead of a tuple.
|
||||
"""
|
||||
|
||||
# find line number in list
|
||||
|
||||
# line_no is the index of the last item in self._pos_new_lines that is <= pos.
|
||||
line_no = bisect.bisect_right(self._pos_new_lines, pos) - 1
|
||||
assert line_no >= 0 and line_no < len(self._pos_new_lines)
|
||||
|
||||
col_no = pos - self._pos_new_lines[line_no]
|
||||
# 1+... so that line and column numbers start at 1
|
||||
if as_dict:
|
||||
return {"lineno": 1 + line_no, "colno": col_no}
|
||||
return (1 + line_no, col_no)
|
||||
1578
good_ai/src/sus/external/pylatexenc/latex2text/__init__.py
vendored
Normal file
1578
good_ai/src/sus/external/pylatexenc/latex2text/__init__.py
vendored
Normal file
File diff suppressed because it is too large
Load diff
325
good_ai/src/sus/external/pylatexenc/latex2text/__main__.py
vendored
Normal file
325
good_ai/src/sus/external/pylatexenc/latex2text/__main__.py
vendored
Normal file
|
|
@ -0,0 +1,325 @@
|
|||
# -*- coding: utf-8 -*-
|
||||
#
|
||||
# The MIT License (MIT)
|
||||
#
|
||||
# Copyright (c) 2018 Philippe Faist
|
||||
#
|
||||
# Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
# of this software and associated documentation files (the "Software"), to deal
|
||||
# in the Software without restriction, including without limitation the rights
|
||||
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
# copies of the Software, and to permit persons to whom the Software is
|
||||
# furnished to do so, subject to the following conditions:
|
||||
#
|
||||
# The above copyright notice and this permission notice shall be included in
|
||||
# all copies or substantial portions of the Software.
|
||||
#
|
||||
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
|
||||
# THE SOFTWARE.
|
||||
#
|
||||
|
||||
import argparse
|
||||
import fileinput
|
||||
import logging
|
||||
import sys
|
||||
|
||||
from .. import latexwalker
|
||||
from ..latex2text import LatexNodes2Text, _strict_latex_spaces_predef
|
||||
from ..version import version_str
|
||||
|
||||
|
||||
def main(argv=None):
|
||||
|
||||
if argv is None:
|
||||
argv = sys.argv[1:]
|
||||
|
||||
parser = argparse.ArgumentParser(prog="latex2text", add_help=False)
|
||||
|
||||
codegroup = parser.add_argument_group("Input options")
|
||||
|
||||
codegroup.add_argument(
|
||||
"--code",
|
||||
"-c",
|
||||
action="store",
|
||||
default=None,
|
||||
metavar="LATEX_CODE",
|
||||
help="Convert the given LATEX_CODE to unicode text instead of reading "
|
||||
"from FILE or standard input. You cannot specify FILEs if you use this "
|
||||
"option, and any standard input is ignored.",
|
||||
)
|
||||
|
||||
codegroup.add_argument(
|
||||
"files",
|
||||
metavar="FILE",
|
||||
nargs="*",
|
||||
help="Input files to read LaTeX code from. If no FILE(s) is/are specified, "
|
||||
"LaTeX code is read from standard input unless --code is specified",
|
||||
)
|
||||
|
||||
group = parser.add_argument_group("LatexWalker options")
|
||||
|
||||
group.add_argument(
|
||||
"--parser-keep-inline-math",
|
||||
action="store_const",
|
||||
const=True,
|
||||
dest="parser_keep_inline_math",
|
||||
default=None,
|
||||
help=argparse.SUPPRESS,
|
||||
)
|
||||
group.add_argument(
|
||||
"--no-parser-keep-inline-math",
|
||||
action="store_const",
|
||||
const=False,
|
||||
dest="parser_keep_inline_math",
|
||||
help=argparse.SUPPRESS,
|
||||
)
|
||||
|
||||
group.add_argument(
|
||||
"--tolerant-parsing",
|
||||
action="store_const",
|
||||
const=True,
|
||||
dest="tolerant_parsing",
|
||||
default=True,
|
||||
)
|
||||
group.add_argument(
|
||||
"--no-tolerant-parsing",
|
||||
action="store_const",
|
||||
const=False,
|
||||
dest="tolerant_parsing",
|
||||
help="Tolerate syntax errors when parsing, and attempt to continue (default yes)",
|
||||
)
|
||||
|
||||
# I'm not sure this flag is useful and if it should be exposed at all.
|
||||
# Accept it, but make it hidden.
|
||||
parser.add_argument(
|
||||
"--strict-braces",
|
||||
action="store_const",
|
||||
const=True,
|
||||
dest="strict_braces",
|
||||
default=False,
|
||||
help=argparse.SUPPRESS,
|
||||
)
|
||||
parser.add_argument(
|
||||
"--no-strict-braces",
|
||||
action="store_const",
|
||||
const=False,
|
||||
dest="strict_braces",
|
||||
# help="Report errors for mismatching LaTeX braces (default no)"
|
||||
help=argparse.SUPPRESS,
|
||||
)
|
||||
|
||||
group = parser.add_argument_group("LatexNodes2Text options")
|
||||
|
||||
group.add_argument(
|
||||
"--text-keep-inline-math",
|
||||
action="store_const",
|
||||
const=True,
|
||||
dest="text_keep_inline_math",
|
||||
default=None,
|
||||
help=argparse.SUPPRESS,
|
||||
)
|
||||
group.add_argument(
|
||||
"--no-text-keep-inline-math",
|
||||
action="store_const",
|
||||
const=False,
|
||||
dest="text_keep_inline_math",
|
||||
help=argparse.SUPPRESS,
|
||||
)
|
||||
|
||||
group.add_argument(
|
||||
"--math-mode",
|
||||
action="store",
|
||||
dest="math_mode",
|
||||
choices=["text", "with-delimiters", "verbatim", "remove"],
|
||||
default="text",
|
||||
help="How to handle chunks of math mode LaTeX code. 'text' = convert "
|
||||
"to text like the rest; 'with-delimiters' = same as 'text' but retain "
|
||||
"the original math mode delimiters; 'verbatim' = keep verbatim LaTeX code; "
|
||||
"'remove' = remove from input entirely",
|
||||
)
|
||||
|
||||
group.add_argument(
|
||||
"--fill-text",
|
||||
dest="fill_text",
|
||||
action="store",
|
||||
nargs="?",
|
||||
default=-1,
|
||||
help="Attempt to wrap text to the given width, or 80 columns if option is "
|
||||
"specified with no argument",
|
||||
)
|
||||
|
||||
group.add_argument(
|
||||
"--keep-comments",
|
||||
action="store_const",
|
||||
const=True,
|
||||
dest="keep_comments",
|
||||
default=False,
|
||||
)
|
||||
group.add_argument(
|
||||
"--no-keep-comments",
|
||||
action="store_const",
|
||||
const=False,
|
||||
dest="keep_comments",
|
||||
help="Keep LaTeX comments in text output (default no)",
|
||||
)
|
||||
|
||||
class ListWithHiddenItems(list):
|
||||
def __init__(self, thelist, hiddenitems):
|
||||
super(ListWithHiddenItems, self).__init__(thelist)
|
||||
self.hiddenitems = hiddenitems
|
||||
|
||||
def __contains__(self, value):
|
||||
return (
|
||||
super(ListWithHiddenItems, self).__contains__(value)
|
||||
or value in self.hiddenitems
|
||||
)
|
||||
|
||||
strict_latex_spaces_choices = ListWithHiddenItems(
|
||||
# the list
|
||||
["off", "on"]
|
||||
+ list(k for k in _strict_latex_spaces_predef.keys() if k != "default"),
|
||||
# hidden items: Value is accepted, but not shown in list of choices
|
||||
["default"],
|
||||
)
|
||||
group.add_argument(
|
||||
"--strict-latex-spaces",
|
||||
choices=strict_latex_spaces_choices,
|
||||
dest="strict_latex_spaces",
|
||||
default="macros",
|
||||
help="How to handle whitespace. See documentation for the class "
|
||||
"LatexNodes2Text().",
|
||||
)
|
||||
|
||||
group.add_argument(
|
||||
"--keep-braced-groups",
|
||||
action="store_const",
|
||||
const=True,
|
||||
dest="keep_braced_groups",
|
||||
default=False,
|
||||
)
|
||||
group.add_argument(
|
||||
"--no-keep-braced-groups",
|
||||
action="store_const",
|
||||
const=False,
|
||||
dest="keep_braced_groups",
|
||||
help="Keep LaTeX {braced groups} in text output (default no)",
|
||||
)
|
||||
|
||||
group.add_argument(
|
||||
"--keep-braced-groups-minlen",
|
||||
type=int,
|
||||
default=2,
|
||||
dest="keep_braced_groups_minlen",
|
||||
help="Only apply --keep-braced-groups to groups that contain at least "
|
||||
"this many characters",
|
||||
)
|
||||
|
||||
group = parser.add_argument_group("General options")
|
||||
|
||||
group.add_argument(
|
||||
"-q",
|
||||
"--quiet",
|
||||
dest="logging_level",
|
||||
action="store_const",
|
||||
const=logging.ERROR,
|
||||
default=logging.INFO,
|
||||
help="Suppress warning messages",
|
||||
)
|
||||
group.add_argument(
|
||||
"-v",
|
||||
"--verbose",
|
||||
dest="logging_level",
|
||||
action="store_const",
|
||||
const=logging.DEBUG,
|
||||
help="Verbose output",
|
||||
)
|
||||
group.add_argument(
|
||||
"--version",
|
||||
action="version",
|
||||
version="pylatexenc {}".format(version_str),
|
||||
help="Show version information and exit",
|
||||
)
|
||||
group.add_argument(
|
||||
"--help", action="help", help="Show this help information and exit"
|
||||
)
|
||||
|
||||
args = parser.parse_args(argv)
|
||||
|
||||
logging.basicConfig()
|
||||
logging.getLogger().setLevel(args.logging_level)
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
if (
|
||||
args.parser_keep_inline_math is not None
|
||||
or args.text_keep_inline_math is not None
|
||||
):
|
||||
logger.warning(
|
||||
"Options --parser-keep-inline-math and --text-keep-inline-math are "
|
||||
"deprecated and no longer have any effect. Please use "
|
||||
"--math-mode=... instead."
|
||||
)
|
||||
|
||||
latex = ""
|
||||
if args.code:
|
||||
if args.files:
|
||||
logger.error(
|
||||
"Cannot specify both FILEs and --code option. "
|
||||
"Use --help option for more information."
|
||||
)
|
||||
sys.exit(1)
|
||||
latex = args.code
|
||||
else:
|
||||
for line in fileinput.input(files=args.files):
|
||||
latex += line
|
||||
|
||||
if args.fill_text != -1:
|
||||
if args.fill_text is not None and len(args.fill_text):
|
||||
fill_text = int(args.fill_text)
|
||||
else:
|
||||
fill_text = True
|
||||
else:
|
||||
fill_text = None
|
||||
|
||||
lw = latexwalker.LatexWalker(
|
||||
latex, tolerant_parsing=args.tolerant_parsing, strict_braces=args.strict_braces
|
||||
)
|
||||
|
||||
(nodelist, pos, len_) = lw.get_latex_nodes()
|
||||
|
||||
ln2t = LatexNodes2Text(
|
||||
math_mode=args.math_mode,
|
||||
keep_comments=args.keep_comments,
|
||||
strict_latex_spaces=args.strict_latex_spaces,
|
||||
keep_braced_groups=args.keep_braced_groups,
|
||||
keep_braced_groups_minlen=args.keep_braced_groups_minlen,
|
||||
fill_text=fill_text,
|
||||
)
|
||||
|
||||
print(ln2t.nodelist_to_text(nodelist))
|
||||
|
||||
|
||||
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__":
|
||||
|
||||
main()
|
||||
# run_main() # debug
|
||||
1784
good_ai/src/sus/external/pylatexenc/latex2text/_defaultspecs.py
vendored
Normal file
1784
good_ai/src/sus/external/pylatexenc/latex2text/_defaultspecs.py
vendored
Normal file
File diff suppressed because it is too large
Load diff
331
good_ai/src/sus/external/pylatexenc/latexencode/__init__.py
vendored
Normal file
331
good_ai/src/sus/external/pylatexenc/latexencode/__init__.py
vendored
Normal file
|
|
@ -0,0 +1,331 @@
|
|||
# -*- coding: utf-8 -*-
|
||||
#
|
||||
# The MIT License (MIT)
|
||||
#
|
||||
# Copyright (c) 2018 Philippe Faist
|
||||
#
|
||||
# Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
# of this software and associated documentation files (the "Software"), to deal
|
||||
# in the Software without restriction, including without limitation the rights
|
||||
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
# copies of the Software, and to permit persons to whom the Software is
|
||||
# furnished to do so, subject to the following conditions:
|
||||
#
|
||||
# The above copyright notice and this permission notice shall be included in
|
||||
# all copies or substantial portions of the Software.
|
||||
#
|
||||
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
|
||||
# THE SOFTWARE.
|
||||
#
|
||||
|
||||
r"""
|
||||
The `latexencode` module provides a set of routines that allows you to
|
||||
convert a unicode string to LaTeX escape sequences.
|
||||
|
||||
For basic usage you can use the :py:func:`unicode_to_latex()` function
|
||||
directly::
|
||||
|
||||
>>> from pylatexenc.latexencode import unicode_to_latex
|
||||
>>> print(unicode_to_latex('À votre santé'))
|
||||
\`A votre sant\'e
|
||||
>>> print(unicode_to_latex('The length of samples #3 & #4 is 3μm'))
|
||||
The length of samples \#3 \& \#4 is 3\ensuremath{\mu}m
|
||||
|
||||
The conversion is handled by the class :py:class:`UnicodeToLatexEncoder`. If
|
||||
you are converting multiple strings, you may create an instance with the flags
|
||||
you like and invoke its method
|
||||
:py:meth:`~UnicodeToLatexEncoder.unicode_to_latex()` as many times as necessary::
|
||||
|
||||
>>> from pylatexenc.latexencode import UnicodeToLatexEncoder
|
||||
>>> u = UnicodeToLatexEncoder(unknown_char_policy='replace')
|
||||
>>> print(u.unicode_to_latex('À votre santé'))
|
||||
\`A votre sant\'e
|
||||
>>> print(u.unicode_to_latex('The length of samples #3 & #4 is 3μm'))
|
||||
The length of samples \#3 \& \#4 is 3\ensuremath{\mu}m
|
||||
>>> print(u.unicode_to_latex('À votre santé: 乾杯'))
|
||||
No known latex representation for character: U+4E7E - ‘乾’
|
||||
No known latex representation for character: U+676F - ‘杯’
|
||||
\`A votre sant\'e: {\bfseries ?}{\bfseries ?}
|
||||
|
||||
Example using custom conversion rules::
|
||||
|
||||
>>> from pylatexenc.latexencode import UnicodeToLatexEncoder, \
|
||||
... UnicodeToLatexConversionRule, RULE_REGEX
|
||||
>>> u = UnicodeToLatexEncoder(
|
||||
... conversion_rules=[
|
||||
... UnicodeToLatexConversionRule(rule_type=RULE_REGEX, rule=[
|
||||
... (re.compile(r'-->'), r'\\textrightarrow'),
|
||||
... (re.compile(r'<--'), r'\\textleftarrow'),
|
||||
... ]),
|
||||
... 'defaults'
|
||||
... ]
|
||||
... )
|
||||
>>> print(u.unicode_to_latex("Cheers --> À votre santé"))
|
||||
Cheers {\textrightarrow} \`A votre sant\'e
|
||||
|
||||
See :py:class:`UnicodeToLatexEncoder` and
|
||||
:py:class:`UnicodeToLatexConversionRule`. Note for regex rules, the replacement
|
||||
text is expanded like the second argument of `re.sub()` and backslashes need to
|
||||
be escaped even inside raw strings.
|
||||
|
||||
.. versionadded:: 2.0
|
||||
|
||||
The class :py:class:`UnicodeToLatexEncoder` along with its helper functions
|
||||
and classes were introduced in `pylatexenc 2.0`.
|
||||
|
||||
The earlier function :py:func:`utf8tolatex()` that was available in
|
||||
`pylatexenc 1.x` is still provided unchanged, so code written for `pylatexenc
|
||||
1.x` should work without changes. New code is however strongly encouraged to
|
||||
employ the new API.
|
||||
"""
|
||||
|
||||
from __future__ import absolute_import, print_function, unicode_literals
|
||||
|
||||
import functools
|
||||
import itertools
|
||||
import logging
|
||||
import sys
|
||||
import unicodedata
|
||||
|
||||
if sys.version_info.major > 2:
|
||||
unicode = str # need to support unicode() w/ no arguments
|
||||
basestring = str
|
||||
# use MappingProxyType for keeping
|
||||
# inspect function argument names
|
||||
from inspect import getfullargspec
|
||||
from types import MappingProxyType as _MappingProxyType
|
||||
else:
|
||||
_MappingProxyType = dict
|
||||
# inspect function argument names -- simulate getfullargspec with getargspec (argh...)
|
||||
from inspect import getargspec as getfullargspec
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
from .. import _util
|
||||
from ._partial_latex_encoder import PartialLatexToLatexEncoder
|
||||
from ._unicode_to_latex_encoder import (
|
||||
RULE_CALLABLE,
|
||||
RULE_DICT,
|
||||
RULE_REGEX,
|
||||
UnicodeToLatexConversionRule,
|
||||
UnicodeToLatexEncoder,
|
||||
get_builtin_conversion_rules,
|
||||
get_builtin_uni2latex_dict,
|
||||
)
|
||||
|
||||
# ------------------------------------------------
|
||||
|
||||
|
||||
# ------------------------------------------------
|
||||
|
||||
|
||||
# ------------------------------------------------
|
||||
|
||||
|
||||
_u2l_obj_cache = {}
|
||||
|
||||
|
||||
def unicode_to_latex(
|
||||
s,
|
||||
non_ascii_only=False,
|
||||
replacement_latex_protection="braces",
|
||||
unknown_char_policy="keep",
|
||||
unknown_char_warning=True,
|
||||
):
|
||||
r"""
|
||||
Shorthand for constructing a :py:class:`UnicodeToLatexEncoder` instance and
|
||||
calling its :py:meth:`~UnicodeToLatexEncoder.unicode_to_latex()` method.
|
||||
|
||||
The :py:class:`UnicodeToLatexEncoder` instances for given option settings
|
||||
are cached, making repeated calls to :py:func:`unicode_to_latex()` possible
|
||||
without creating a new instance upon each call.
|
||||
|
||||
The parameters `non_ascii_only`, `replacement_latex_protection`,
|
||||
`unknown_char_policy`, and `unknown_char_warning` are directly passed on to
|
||||
the :py:class:`UnicodeToLatexEncoder` constructor. See the class doc for
|
||||
:py:class:`UnicodeToLatexEncoder` for more information about what they do.
|
||||
|
||||
You may only use arguments to this function that are python hashable (like
|
||||
`True`, `False`, or simple strings) to help us keep a cache of previously
|
||||
constructed :py:class:`UnicodeToLatexEncoder` instances. For instance, it
|
||||
is not possible to provide a callable to `unknown_char_policy`. It is also
|
||||
not possible to specify custom conversion rules with this helper function.
|
||||
If you need any of these features, simply create a
|
||||
:py:class:`UnicodeToLatexEncoder` instance directly.
|
||||
"""
|
||||
|
||||
key = (
|
||||
non_ascii_only,
|
||||
replacement_latex_protection,
|
||||
unknown_char_policy,
|
||||
unknown_char_warning,
|
||||
)
|
||||
|
||||
if key in _u2l_obj_cache:
|
||||
u = _u2l_obj_cache[key]
|
||||
else:
|
||||
u = UnicodeToLatexEncoder(
|
||||
non_ascii_only=non_ascii_only,
|
||||
replacement_latex_protection=replacement_latex_protection,
|
||||
unknown_char_policy=unknown_char_policy,
|
||||
unknown_char_warning=unknown_char_warning,
|
||||
)
|
||||
_u2l_obj_cache[key] = u
|
||||
|
||||
return u.unicode_to_latex(s)
|
||||
|
||||
|
||||
# ------------------------------------------------------------------------------
|
||||
|
||||
# Don't change pylatexenc 1.x function:
|
||||
|
||||
|
||||
def _get_deprecated_utf82latex():
|
||||
#
|
||||
# Don't issue a deprecation warning, because utf8tolatex() uses the
|
||||
# `utf82latex` dict even if it isn't modified by the user.
|
||||
#
|
||||
# _util.pylatexenc_deprecated_2(
|
||||
# "The module-level dictionary `pylatexenc.latexencode.utf82latex` is deprecated "
|
||||
# "and might be removed in a future version of `pylatexenc`.",
|
||||
# )
|
||||
|
||||
# return a copy of the dict so that the user can modify the module-level
|
||||
# `utf82latex` dict without influencing the behavior of the new
|
||||
# `unicode_to_latex()` routines. (E.g., if two python modules use
|
||||
# pylatexenc.latexencode, we don't want one python module's use of
|
||||
# `utf2tolatex()` to influence the behavior of another module's use of
|
||||
# `unicode_to_latex()`. If both modules use `utf8tolatex()`, we can't avoid
|
||||
# this influence.)
|
||||
from ._uni2latexmap import uni2latex as _uni2latex
|
||||
|
||||
return _uni2latex.copy()
|
||||
|
||||
|
||||
utf82latex = _util.LazyDict(generate_dict_fn=_get_deprecated_utf82latex)
|
||||
"""
|
||||
.. deprecated:: 2.0
|
||||
|
||||
Pylatexenc 1.x exposed the module-level dictionary `utf82latex` that could be
|
||||
modified to alter the behavior of `utf8tolatex()`.
|
||||
|
||||
If you would like to obtain a copy of the built-in unicode to text
|
||||
dictionary, see :py:func:`get_builtin_uni2latex_dict()`. If you would like
|
||||
to alter the behavior of :py:func:`utf8tolatex()`, you should use
|
||||
:py:class:`UnicodeToLatexEncoder` which provides a rich interface for
|
||||
specifying rules how to convert chars to LaTeX escapes.
|
||||
|
||||
For backwards compatibility, you can still modify the module-level dictionary
|
||||
`utf82latex` (but you can't assign a new object to it) and this will directly
|
||||
modify the global built-in dictionary of known latex escapes. This is not
|
||||
recommended however, and the `utf82latex` module-level dictionary might be
|
||||
removed in the future.
|
||||
|
||||
.. warning::
|
||||
|
||||
Modifying the `utf82latex` module-level dictionary is not recommended.
|
||||
Doing so will alter the behavior of the `utf8tolatex()` function also for
|
||||
all other modules that also use `pylatexenc`!
|
||||
"""
|
||||
|
||||
|
||||
def utf8tolatex(
|
||||
s,
|
||||
non_ascii_only=False,
|
||||
brackets=True,
|
||||
substitute_bad_chars=False,
|
||||
fail_bad_chars=False,
|
||||
):
|
||||
"""
|
||||
.. note::
|
||||
|
||||
Since `pylatexenc 2.0`, it is recommended to use the the
|
||||
:py:func:`unicode_to_latex()` function or the
|
||||
:py:class:`UnicodeToLatexEncoder` class instead of the earlier function
|
||||
`utf8tolatex()`.
|
||||
|
||||
The new routines provide much more flexibility and versatility. For
|
||||
instance, you can specify custom escape sequences for certain characters.
|
||||
Some cheap benchmarks seem to indicate that the new routines are not
|
||||
significantly slower than the `utf8tolatex()` function. Also, the name
|
||||
`utf8tolatex()` was poorly chosen, since the argument is in fact not
|
||||
'utf-8'-encoded but rather a Python unicode string object.
|
||||
|
||||
The function `utf8tolatex()` is still provided unchanged from `pylatexenc
|
||||
1.x`. We do not plan to remove this function in the near future so it is
|
||||
not (yet) considered as deprecated and we will continue to provide it in
|
||||
near future versions of `pylatexenc`. Bug reports, improvements, and new
|
||||
features will however be directed to :py:func:`UnicodeToLatexEncoder()`.
|
||||
|
||||
Encode a UTF-8 string to a LaTeX snippet.
|
||||
|
||||
If `non_ascii_only` is set to `True`, then usual (ascii) characters such as ``#``,
|
||||
``{``, ``}`` etc. will not be escaped. If set to `False` (the default), they are
|
||||
escaped to their respective LaTeX escape sequences.
|
||||
|
||||
If `brackets` is set to `True` (the default), then LaTeX macros are enclosed in
|
||||
brackets. For example, ``sant\N{LATIN SMALL LETTER E WITH ACUTE}`` is replaced by
|
||||
``sant{\\'e}`` if `brackets=True` and by ``sant\\'e`` if `brackets=False`.
|
||||
|
||||
.. warning::
|
||||
Using `brackets=False` might give you an invalid LaTeX string, so avoid
|
||||
it! (for instance, ``ma\N{LATIN SMALL LETTER I WITH CIRCUMFLEX}tre`` will be
|
||||
replaced incorrectly by ``ma\\^\\itre`` resulting in an unknown macro ``\\itre``).
|
||||
|
||||
If `substitute_bad_chars=True`, then any non-ascii character for which no LaTeX escape
|
||||
sequence is known is replaced by a question mark in boldface. Otherwise (by default),
|
||||
the character is left as it is.
|
||||
|
||||
If `fail_bad_chars=True`, then a `ValueError` is raised if we cannot find a
|
||||
character substitution for any non-ascii character.
|
||||
|
||||
.. versionchanged:: 1.3
|
||||
|
||||
Added `fail_bad_chars` switch
|
||||
"""
|
||||
|
||||
s = unicode(s) # make sure s is unicode
|
||||
s = unicodedata.normalize("NFC", s)
|
||||
|
||||
if not s:
|
||||
return ""
|
||||
|
||||
result = ""
|
||||
for ch in s:
|
||||
# logger.longdebug("Encoding char %r", ch)
|
||||
if non_ascii_only and ord(ch) < 127:
|
||||
result += ch
|
||||
else:
|
||||
# use the `utf82latex` dict -- not `_uni2latex` which should NOT be
|
||||
# modified externally even for backwards-compatible code
|
||||
lch = utf82latex.get(ord(ch), None)
|
||||
if lch is not None:
|
||||
# add brackets if needed, i.e. if we have a substituting macro.
|
||||
# note: in condition, beware, that lch might be of zero length.
|
||||
result += "{" + lch + "}" if brackets and lch[0:1] == "\\" else lch
|
||||
elif (ord(ch) >= 32 and ord(ch) <= 127) or (ch in "\n\r\t"):
|
||||
# ordinary printable ascii char, just add it
|
||||
result += ch
|
||||
else:
|
||||
# non-ascii char
|
||||
msg = "Character cannot be encoded into LaTeX: U+%04X - `%s'" % (
|
||||
ord(ch),
|
||||
ch,
|
||||
)
|
||||
if fail_bad_chars:
|
||||
raise ValueError(msg)
|
||||
|
||||
logger.warning(msg)
|
||||
if substitute_bad_chars:
|
||||
result += r"{\bfseries ?}"
|
||||
else:
|
||||
# keep unescaped char
|
||||
result += ch
|
||||
|
||||
return result
|
||||
148
good_ai/src/sus/external/pylatexenc/latexencode/__main__.py
vendored
Normal file
148
good_ai/src/sus/external/pylatexenc/latexencode/__main__.py
vendored
Normal file
|
|
@ -0,0 +1,148 @@
|
|||
# -*- coding: utf-8 -*-
|
||||
#
|
||||
# The MIT License (MIT)
|
||||
#
|
||||
# Copyright (c) 2019 Philippe Faist
|
||||
#
|
||||
# Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
# of this software and associated documentation files (the "Software"), to deal
|
||||
# in the Software without restriction, including without limitation the rights
|
||||
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
# copies of the Software, and to permit persons to whom the Software is
|
||||
# furnished to do so, subject to the following conditions:
|
||||
#
|
||||
# The above copyright notice and this permission notice shall be included in
|
||||
# all copies or substantial portions of the Software.
|
||||
#
|
||||
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
|
||||
# THE SOFTWARE.
|
||||
#
|
||||
|
||||
|
||||
import argparse
|
||||
import fileinput
|
||||
import logging
|
||||
import sys
|
||||
|
||||
from ..latexencode import unicode_to_latex
|
||||
from ..version import version_str
|
||||
|
||||
|
||||
def main(argv=None):
|
||||
|
||||
if argv is None:
|
||||
argv = sys.argv[1:]
|
||||
|
||||
parser = argparse.ArgumentParser(prog="latexencode", add_help=False)
|
||||
parser.add_argument(
|
||||
"files",
|
||||
metavar="FILE",
|
||||
nargs="*",
|
||||
help="Input files (if none specified, read from stdandard input)",
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"--non-ascii-only",
|
||||
action="store_const",
|
||||
const=True,
|
||||
dest="non_ascii_only",
|
||||
default=False,
|
||||
)
|
||||
parser.add_argument(
|
||||
"--no-non-ascii-only",
|
||||
action="store_const",
|
||||
const=False,
|
||||
dest="non_ascii_only",
|
||||
help="The option --non-ascii-only specifies that only non-ascii characters "
|
||||
"are to be encoded into LaTeX sequences, and not characters like '$' "
|
||||
"even though they might have a special LaTeX meaning.",
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"--replacement-latex-protection",
|
||||
choices=(
|
||||
"braces",
|
||||
"braces-all",
|
||||
"braces-almost-all",
|
||||
"braces-after-macro",
|
||||
"none",
|
||||
),
|
||||
dest="replacement_latex_protection",
|
||||
default="braces",
|
||||
help=r"How to protect replacement latex code from producing invalid latex code "
|
||||
r"when concatenated in a longer string. One of 'braces', 'braces-all', "
|
||||
r"'braces-almost-all', 'braces-after-macro', 'none'. Example: using "
|
||||
r"choice 'braces' we avoid the invalid replacement 'a→b' -> 'a\tob' "
|
||||
r"with instead 'a{\to}b'.",
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"--unknown-char-policy",
|
||||
choices=("keep", "replace", "ignore", "fail"),
|
||||
dest="unknown_char_policy",
|
||||
default="keep",
|
||||
help="How to deal with nonascii characters with no known latex code equivalent.",
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"-q",
|
||||
"--quiet",
|
||||
dest="logging_level",
|
||||
action="store_const",
|
||||
const=logging.ERROR,
|
||||
default=logging.INFO,
|
||||
help="Suppress warning messages",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--version",
|
||||
action="version",
|
||||
version="pylatexenc {}".format(version_str),
|
||||
help="Show version information and exit",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--help", action="help", help="Show this help information and exit"
|
||||
)
|
||||
|
||||
args = parser.parse_args(argv)
|
||||
|
||||
logging.basicConfig()
|
||||
logging.getLogger().setLevel(args.logging_level)
|
||||
|
||||
latex = ""
|
||||
for line in fileinput.input(files=args.files):
|
||||
latex += line
|
||||
|
||||
result = unicode_to_latex(
|
||||
latex,
|
||||
non_ascii_only=args.non_ascii_only,
|
||||
replacement_latex_protection=args.replacement_latex_protection,
|
||||
unknown_char_policy=args.unknown_char_policy,
|
||||
)
|
||||
|
||||
sys.stdout.write(result)
|
||||
|
||||
|
||||
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()
|
||||
120
good_ai/src/sus/external/pylatexenc/latexencode/_partial_latex_encoder.py
vendored
Normal file
120
good_ai/src/sus/external/pylatexenc/latexencode/_partial_latex_encoder.py
vendored
Normal file
|
|
@ -0,0 +1,120 @@
|
|||
# -*- coding: utf-8 -*-
|
||||
#
|
||||
# The MIT License (MIT)
|
||||
#
|
||||
# Copyright (c) 2021 Philippe Faist
|
||||
#
|
||||
# Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
# of this software and associated documentation files (the "Software"), to deal
|
||||
# in the Software without restriction, including without limitation the rights
|
||||
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
# copies of the Software, and to permit persons to whom the Software is
|
||||
# furnished to do so, subject to the following conditions:
|
||||
#
|
||||
# The above copyright notice and this permission notice shall be included in
|
||||
# all copies or substantial portions of the Software.
|
||||
#
|
||||
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
|
||||
# THE SOFTWARE.
|
||||
#
|
||||
|
||||
from __future__ import absolute_import, print_function, unicode_literals
|
||||
|
||||
# import sys
|
||||
import logging
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
from ._unicode_to_latex_encoder import (
|
||||
RULE_CALLABLE,
|
||||
UnicodeToLatexConversionRule,
|
||||
UnicodeToLatexEncoder,
|
||||
)
|
||||
|
||||
# if sys.version_info.major == 2:
|
||||
# bytes = str
|
||||
# str = unicode
|
||||
|
||||
|
||||
class PartialLatexToLatexEncoder(UnicodeToLatexEncoder):
|
||||
r"""
|
||||
Encode a string while preserving some (fuzzily detected) LaTeX constructs
|
||||
that the input string already has (e.g. accent macros or inline math modes).
|
||||
|
||||
Sometimes you need to fully LaTeX-encode a string that already has some
|
||||
LaTeX constructs. For instance, titles of bibliographic entries might
|
||||
include some inline math or accents, but they might also include unicode
|
||||
characters that need to be encoded. Using a
|
||||
:py:class:`UnicodeToLatexEncoder` on such strings would result in ugly
|
||||
doubly-escaped strings such as ``\textbackslash{}'\{e\}``. Instead,
|
||||
constructs such as ``\'{e}`` should be preserved while other characters
|
||||
and/or constructs (say '&' or '%') as well as unicode characters should be
|
||||
encoded.
|
||||
|
||||
This class offers a simple partial solution: Characters are encoded as per
|
||||
the given `conversion_rules` (or the default conversion rules of
|
||||
:py:class:`UnicodeToLatexEncoder` objects), except that the characters in
|
||||
`keep_latex_chars` are to be interpreted as LaTeX and are not to be further
|
||||
encoded.
|
||||
|
||||
.. versionadded: 2.10
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
# keyword arguments:
|
||||
keep_latex_chars=r"\${}^_",
|
||||
conversion_rules=None,
|
||||
**kwargs
|
||||
):
|
||||
|
||||
base_conversion_rules = conversion_rules
|
||||
if base_conversion_rules is None:
|
||||
base_conversion_rules = ["defaults"]
|
||||
|
||||
super(PartialLatexToLatexEncoder, self).__init__(
|
||||
# only a single rule, our own special method that tries to parse
|
||||
# partial latex.
|
||||
conversion_rules=[
|
||||
UnicodeToLatexConversionRule(
|
||||
rule_type=RULE_CALLABLE,
|
||||
rule=self._do_partial_latex_encode_step,
|
||||
replacement_latex_protection="none",
|
||||
)
|
||||
]
|
||||
+ base_conversion_rules,
|
||||
**kwargs
|
||||
)
|
||||
|
||||
self.keep_latex_chars = keep_latex_chars
|
||||
|
||||
def _do_partial_latex_encode_step(self, s, pos):
|
||||
r"""
|
||||
This method is used as a "callable rule" for the
|
||||
:py:class:`UnicodeToLatexEncoder` object.
|
||||
|
||||
The strategy is to see if we have something that looks like a LaTeX char
|
||||
we want to keep. If so, keep it as is; if not, return `None` so that
|
||||
further rules can be considered by the base unicode encoder.
|
||||
"""
|
||||
|
||||
from ..latexwalker import LatexWalker
|
||||
|
||||
if s[pos] in self.keep_latex_chars:
|
||||
# Read a token and if it is a macro, keep the full macro!
|
||||
lw = LatexWalker(s, tolerant_parsing=False)
|
||||
|
||||
tok = lw.get_token(pos, environments=False)
|
||||
|
||||
tok_as_latex = tok.pre_space + s[tok.pos : tok.pos + tok.len]
|
||||
|
||||
# keep the LaTeX token as-is
|
||||
return (tok.pos + tok.len - pos, tok_as_latex)
|
||||
|
||||
return None
|
||||
1590
good_ai/src/sus/external/pylatexenc/latexencode/_uni2latexmap.py
vendored
Normal file
1590
good_ai/src/sus/external/pylatexenc/latexencode/_uni2latexmap.py
vendored
Normal file
File diff suppressed because it is too large
Load diff
2240
good_ai/src/sus/external/pylatexenc/latexencode/_uni2latexmap_xml.py
vendored
Normal file
2240
good_ai/src/sus/external/pylatexenc/latexencode/_uni2latexmap_xml.py
vendored
Normal file
File diff suppressed because it is too large
Load diff
686
good_ai/src/sus/external/pylatexenc/latexencode/_unicode_to_latex_encoder.py
vendored
Normal file
686
good_ai/src/sus/external/pylatexenc/latexencode/_unicode_to_latex_encoder.py
vendored
Normal file
|
|
@ -0,0 +1,686 @@
|
|||
# -*- coding: utf-8 -*-
|
||||
#
|
||||
# The MIT License (MIT)
|
||||
#
|
||||
# Copyright (c) 2021 Philippe Faist
|
||||
#
|
||||
# Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
# of this software and associated documentation files (the "Software"), to deal
|
||||
# in the Software without restriction, including without limitation the rights
|
||||
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
# copies of the Software, and to permit persons to whom the Software is
|
||||
# furnished to do so, subject to the following conditions:
|
||||
#
|
||||
# The above copyright notice and this permission notice shall be included in
|
||||
# all copies or substantial portions of the Software.
|
||||
#
|
||||
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
|
||||
# THE SOFTWARE.
|
||||
#
|
||||
|
||||
from __future__ import absolute_import, print_function, unicode_literals
|
||||
|
||||
import functools
|
||||
import itertools
|
||||
import logging
|
||||
import sys
|
||||
import unicodedata
|
||||
|
||||
if sys.version_info.major > 2:
|
||||
unicode = str # need to support unicode() w/ no arguments
|
||||
basestring = str
|
||||
# use MappingProxyType for keeping
|
||||
# inspect function argument names
|
||||
from inspect import getfullargspec
|
||||
from types import MappingProxyType as _MappingProxyType
|
||||
else:
|
||||
_MappingProxyType = dict
|
||||
# inspect function argument names -- simulate getfullargspec with getargspec (argh...)
|
||||
from inspect import getargspec as getfullargspec
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
def get_builtin_uni2latex_dict():
|
||||
r"""
|
||||
Return a dictionary that contains the default collection of known LaTeX
|
||||
escape sequences for unicode characters.
|
||||
|
||||
The keys of the dictionary are integers that correspond to unicode code
|
||||
points (i.e., `ord(char)`). The values are the corresponding LaTeX
|
||||
replacement strings.
|
||||
|
||||
The returned dictionary may not be modified. To alter the behavior of
|
||||
:py:func:`unicode_to_latex()`, you should specify custom rules to a new
|
||||
instance of :py:class:`UnicodeToLatexEncoder`.
|
||||
|
||||
.. versionadded:: 2.0
|
||||
|
||||
This function was introduced in `pylatexenc 2.0`.
|
||||
"""
|
||||
from ._uni2latexmap import uni2latex as _uni2latex
|
||||
|
||||
return _MappingProxyType(_uni2latex)
|
||||
|
||||
|
||||
RULE_DICT = 0
|
||||
r"""
|
||||
Indicates a rule type that is a dictionary of unicode point values to
|
||||
replacement strings. See :py:class:`UnicodeToLatexConversionRule`.
|
||||
|
||||
.. versionadded:: 2.0
|
||||
|
||||
This member was introduced in pylatexenc version 2.0.
|
||||
"""
|
||||
|
||||
RULE_REGEX = 1
|
||||
r"""
|
||||
Indicates a rule type that is a list (or iterable) of pairs
|
||||
`(compiled_regular_expression, replacement_string)`. See
|
||||
:py:class:`UnicodeToLatexConversionRule`.
|
||||
|
||||
.. versionadded:: 2.0
|
||||
|
||||
This member was introduced in pylatexenc version 2.0.
|
||||
"""
|
||||
|
||||
RULE_CALLABLE = 2
|
||||
r"""
|
||||
Indicates a rule type that is a custom callable. See
|
||||
:py:class:`UnicodeToLatexConversionRule`.
|
||||
|
||||
.. versionadded:: 2.0
|
||||
|
||||
This member was introduced in pylatexenc version 2.0.
|
||||
"""
|
||||
|
||||
|
||||
class UnicodeToLatexConversionRule:
|
||||
r"""
|
||||
Specify a rule how to convert unicode characters into LaTeX escapes.
|
||||
|
||||
.. py:attribute:: rule_type
|
||||
|
||||
One of :py:data:`RULE_DICT`, :py:data:`RULE_REGEX`, or
|
||||
:py:data:`RULE_CALLABLE`.
|
||||
|
||||
.. py:attribute:: rule
|
||||
|
||||
A specification of the rule itself. The `rule` attribute is an object
|
||||
that depends on what `rule_type` is set to. See below.
|
||||
|
||||
.. py:attribute:: replacement_latex_protection
|
||||
|
||||
If non-`None`, then the setting here will override any
|
||||
`replacement_latex_protection` set on
|
||||
:py:class:`UnicodeToLatexConversionRule` objects. By default the value
|
||||
is `None`, and you can set a replacement_latex_protection globally for
|
||||
all rules on the :py:class:`UnicodeToLatexEncoder` object.
|
||||
|
||||
The use of this attribute is mainly in case you have a fancy rule in
|
||||
which you already guarantee that whatever you output is valid LaTeX even
|
||||
if concatenated with the remainder of the string; in this case you can
|
||||
set `replacement_latex_protection='none'` to avoid unnecessary or
|
||||
unwanted braces around the generated code.
|
||||
|
||||
.. versionadded:: 2.10
|
||||
|
||||
The `replacement_latex_protection` attribute was introduced in
|
||||
`pylatexenc 2.10`.
|
||||
|
||||
|
||||
Constructor syntax::
|
||||
|
||||
UnicodeToLatexConversionRule(RULE_XXX, <...>)
|
||||
UnicodeToLatexConversionRule(rule_type=RULE_XXX, rule=<...>)
|
||||
|
||||
UnicodeToLatexConversionRule(..., replacement_latex_protection='none')
|
||||
|
||||
Note that you can get some built-in rules via the
|
||||
:py:func:`get_builtin_conversion_rules()` function::
|
||||
|
||||
conversion_rules = get_builtin_conversion_rules('defaults') # all defaults
|
||||
|
||||
|
||||
Rules types:
|
||||
|
||||
- `RULE_DICT`: If `rule_type` is `RULE_DICT`, then `rule` should be a
|
||||
dictionary whose keys are integers representing unicode code points
|
||||
(e.g., `0x210F`), and whose values are corresponding replacement strings
|
||||
(e.g., ``r'\hbar'``). See :py:func:`get_builtin_uni2latex_dict()` for
|
||||
an example.
|
||||
|
||||
- `RULE_REGEX`: If `rule_type` is `RULE_REGEX`, then `rule` should be an
|
||||
iterable of tuple pairs `(compiled_regular_expression,
|
||||
replacement_string)` where `compiled_regular_expression` was obtained
|
||||
with `re.compile(...)` and `replacement_string` is anything that can be
|
||||
specified as the second (`repl`) argument of `re.sub(...)`. This can be
|
||||
a replacement string that includes escapes (like ``\1, \2, \g<name>``)
|
||||
for captured sub-expressions or a callable that takes a match object as
|
||||
argument.
|
||||
|
||||
.. note::
|
||||
|
||||
The replacement string is parsed like the second argument to
|
||||
`re.sub()` and backslashes have a special meaning because they can
|
||||
refer to captured sub-expressions. For a literal backslash, use two
|
||||
backslashes ``\\`` in raw strings, four backslashes in normal
|
||||
strings.
|
||||
|
||||
Example::
|
||||
|
||||
regex_conversion_rule = UnicodeToLatexConversionRule(
|
||||
rule_type=RULE_REGEX,
|
||||
rule=[
|
||||
# protect acronyms of capital letters with braces,
|
||||
# e.g.: ABC -> {ABC}
|
||||
(re.compile(r'[A-Z]{2,}'), r'{\1}'),
|
||||
# Additional rules, e.g., "..." -> "\ldots"
|
||||
(re.compile(r'...'), r'\\ldots'), # note double \\
|
||||
]
|
||||
)
|
||||
|
||||
- `RULE_CALLABLE`: If `rule_type` is `RULE_CALLABLE`, then `rule` should
|
||||
be a callable that accepts two arguments, the unicode string and the
|
||||
position in the string (an integer). The callable will be called with
|
||||
the original unicode string as argument and the position of the
|
||||
character that needs to be encoded. If this rule can encode the given
|
||||
character at the given position, it should return a tuple
|
||||
`(consumed_length, replacement_string)` where `consumed_length` is the
|
||||
number of characters in the unicode string that `replacement_string`
|
||||
represents. If the character(s) at the given position can't be encoded
|
||||
by this rule, the callable should return `None` to indicate that further
|
||||
rules should be attempted.
|
||||
|
||||
If the callable accepts an additional argument called `u2lobj`, then the
|
||||
:py:class:`UnicodeToLatexEncoder` instance is provided to that argument.
|
||||
|
||||
For example, the following callable should achieve the same effect as
|
||||
the previous example with regexes::
|
||||
|
||||
def convert_stuff(s, pos):
|
||||
m = re.match(r'[A-Z]{2,}', s, pos)
|
||||
if m is not None:
|
||||
return (m.end()-m.start(), '{'+m.group()+'}')
|
||||
if s.startswith('...', pos): # or s[pos:pos+3] == '...'
|
||||
return (3, r'\ldots')
|
||||
return None
|
||||
|
||||
|
||||
.. versionadded:: 2.0
|
||||
|
||||
This class was introduced in `pylatexenc 2.0`.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
rule_type,
|
||||
rule=None,
|
||||
# keyword-only, please:
|
||||
replacement_latex_protection=None,
|
||||
):
|
||||
self.rule_type = rule_type
|
||||
self.rule = rule
|
||||
self.replacement_latex_protection = replacement_latex_protection
|
||||
|
||||
def __repr__(self):
|
||||
return "{}(rule_type={!r}, rule=<{}>, replacement_latex_protection={})".format(
|
||||
self.__class__.__name__,
|
||||
self.rule_type,
|
||||
type(self.rule).__name__,
|
||||
repr(self.replacement_latex_protection),
|
||||
)
|
||||
|
||||
|
||||
def get_builtin_conversion_rules(builtin_name):
|
||||
r"""
|
||||
Return a built-in set of conversion rules specified by a given name
|
||||
`builtin_name`.
|
||||
|
||||
There are two builtin conversion rules, with the following names:
|
||||
|
||||
- `'defaults'`: the default conversion rules, a custom-curated list of
|
||||
unicode chars to LaTeX escapes.
|
||||
|
||||
- `'unicode-xml'`: the conversion rules derived from the `unicode.xml` file
|
||||
maintained at https://www.w3.org/TR/xml-entity-names/#source by David
|
||||
Carlisle.
|
||||
|
||||
The return value is a list of :py:class:`UnicodeToLatexConversionRule`
|
||||
objects that can be either directly specified to the `conversion_rules=`
|
||||
argument of :py:class:`UnicodeToLatexEncoder`, or included in a larger list
|
||||
that can be provided to that argument.
|
||||
|
||||
.. versionadded:: 2.0
|
||||
|
||||
This function was introduced in `pylatexenc 2.0`.
|
||||
"""
|
||||
if builtin_name == "defaults":
|
||||
return [
|
||||
UnicodeToLatexConversionRule(
|
||||
rule_type=RULE_DICT, rule=get_builtin_uni2latex_dict()
|
||||
)
|
||||
]
|
||||
if builtin_name == "unicode-xml":
|
||||
from . import _uni2latexmap_xml
|
||||
|
||||
return [
|
||||
UnicodeToLatexConversionRule(
|
||||
rule_type=RULE_DICT, rule=_uni2latexmap_xml.uni2latex
|
||||
)
|
||||
]
|
||||
raise ValueError("Unknown builtin rule set: {}".format(builtin_name))
|
||||
|
||||
|
||||
class UnicodeToLatexEncoder(object):
|
||||
r"""
|
||||
Encode a string with unicode characters into a LaTeX snippet.
|
||||
|
||||
The following general attributes can be specified as keyword arguments to
|
||||
the constructor. Note: These attributes must be specified to the
|
||||
constructor and may NOT be subsequently modified. This is because in the
|
||||
constructor we pre-compile some rules and flags to optimize calls to
|
||||
:py:meth:`unicode_to_text()`.
|
||||
|
||||
.. py:attribute:: non_ascii_only
|
||||
|
||||
Whether we should convert only non-ascii characters into LaTeX sequences,
|
||||
or also all known ascii characters with special LaTeX meaning such as
|
||||
'\\\\', '$', '&', etc.
|
||||
|
||||
If `non_ascii_only` is set to `True` (the default is `False`), then
|
||||
conversion rules are not applied at positions in the string where an
|
||||
ASCII character is encountered.
|
||||
|
||||
.. py:attribute:: conversion_rules
|
||||
|
||||
The conversion rules, specified as a list of
|
||||
:py:class:`UnicodeToLatexConversionRule` objects. For each position in
|
||||
the string, the rules will be applied in the given sequence until a
|
||||
replacement string is found.
|
||||
|
||||
Instead of a :py:class:`UnicodeToLatexConversionRule` object you may also
|
||||
specify a string specifying a built-in rule (e.g., 'defaults'), which
|
||||
will be expanded to the corresponding rules according to
|
||||
:py:func:`get_builtin_conversion_rules()`.
|
||||
|
||||
If you specify your own list of rules using this argument, you will
|
||||
probably want to include presumably at the end of your list the element
|
||||
'defaults' to include all built-in default conversion rules. To override
|
||||
built-in rules, simply add your custom rules earlier in the list.
|
||||
Example::
|
||||
|
||||
conversion_rules = [
|
||||
# our custom rules
|
||||
UnicodeToLatexConversionRule(RULE_REGEX, [
|
||||
# double \\ needed, see UnicodeToLatexConversionRule
|
||||
( re.compile(r'...'), r'\\ldots' ),
|
||||
( re.compile(r'î'), r'\\^i' ),
|
||||
]),
|
||||
# plus all the default rules
|
||||
'defaults'
|
||||
]
|
||||
u = UnicodeToLatexEncoder(conversion_rules=conversion_rules)
|
||||
|
||||
.. py:attribute:: replacement_latex_protection
|
||||
|
||||
How to "protect" LaTeX replacement text that looks like it could be
|
||||
interpreted differently if concatenated to arbitrary strings before and
|
||||
after.
|
||||
|
||||
Currently in the default scheme only one situation is recognized: if the
|
||||
replacement string ends with a latex macro invocation with a non-symbol
|
||||
macro name, e.g. ``\textemdash`` or ``\^\i``. Indeed, if we naively
|
||||
replace these texts in an arbitrary string (like ``maître``), we might
|
||||
get an invalid macro invocation (like ``ma\^\itre`` which causes un known
|
||||
macro name ``\itre``).
|
||||
|
||||
Possible protection schemes are:
|
||||
|
||||
- 'braces' (the default): Any suspicious replacement text (that
|
||||
might look fragile) is placed in curly braces ``{...}``.
|
||||
|
||||
- 'braces-all': All replacement latex escapes are surrounded in
|
||||
protective curly braces ``{...}``, regardless of whether or not they
|
||||
might be deemed "fragile" or "unsafe".
|
||||
|
||||
- 'braces-almost-all': Almost all replacement latex escapes are
|
||||
surrounded in protective curly braces ``{...}``. This option
|
||||
emulates closely the behavior of `brackets=True` of the function
|
||||
`utf8tolatex()` in `pylatexenc 1.x`, though I'm not sure it is really
|
||||
useful. [Specifically, all those replacement strings that start with
|
||||
a backslash are surrounded by curly braces].
|
||||
|
||||
- 'braces-after-macro': In the situation where the replacement latex
|
||||
code ends with a string-named macro, then a pair of empty braces is
|
||||
added at the end of the replacement text to protect the macro.
|
||||
|
||||
- 'none': No protection is applied, even in "unsafe" cases. This is
|
||||
not recommended, as this will likely result in invalid LaTeX
|
||||
code. (Note this is the string 'none', not Python's built-in `None`.)
|
||||
|
||||
- any callable object: The callable should take a single argument, the
|
||||
replacement latex string associated with a piece of the input (maybe
|
||||
a special character) that has been encoded; it should return the
|
||||
actual string to append to the output string.
|
||||
|
||||
.. versionadded:: 2.10
|
||||
|
||||
You can specify a callable object to `replacement_latex_protection`
|
||||
since `pylatexenc 2.10`.
|
||||
|
||||
.. py:attribute:: unknown_char_policy
|
||||
|
||||
What to do when a non-ascii character is encountered without any known
|
||||
substitution macro. The attribute `unknown_char_policy` can be set to one of:
|
||||
|
||||
- 'keep': keep the character as is;
|
||||
|
||||
- 'replace': replace the character by a boldface question mark;
|
||||
|
||||
- 'ignore': ignore the character from the input entirely and don't
|
||||
output anything for it;
|
||||
|
||||
- 'fail': raise a `ValueError` exception;
|
||||
|
||||
- 'unihex': output the unicode hexadecimal code (U+XXXX) of the
|
||||
character in typewriter font;
|
||||
|
||||
- a Python callable --- will be called with argument the character that
|
||||
could not be encoded. (If the callable accepts a second argument
|
||||
called 'u2lobj', then the `UnicodeToLatexEncoder` instance is
|
||||
provided to that argument.) The return value of the callable is used
|
||||
as LaTeX replacement code.
|
||||
|
||||
.. py:attribute:: unknown_char_warning
|
||||
|
||||
In addition to the `unknown_char_policy`, this attribute indicates
|
||||
whether or not (`True` or `False`) one should generate a warning when a
|
||||
nonascii character without any known latex representation is
|
||||
encountered. (Default: True)
|
||||
|
||||
.. py:attribute:: latex_string_class
|
||||
|
||||
The return type of :py:meth:`unicode_to_latex()`. Normally this is a
|
||||
simple unicode string (`str` on `Python 3` or `unicode` on `Python 2`).
|
||||
|
||||
But you can specify your custom string type via the `latex_string_class`
|
||||
argument. The `latex_string_class` will be invoked with no arguments to
|
||||
construct an empty object (so `latex_string_class` can be either an
|
||||
object that can be constructed with no arguments or it can be a function
|
||||
with no arguments that return a fresh object instance). The object must
|
||||
support the operation "+=", i.e., you should overload the ``__iadd__()``
|
||||
method.
|
||||
|
||||
For instance, you can record the chunks that would have been appended
|
||||
into a single string as follows::
|
||||
|
||||
class LatexChunkList:
|
||||
def __init__(self):
|
||||
self.chunks = []
|
||||
|
||||
def __iadd__(self, s):
|
||||
self.chunks.append(s)
|
||||
return self
|
||||
|
||||
u = UnicodeToLatexEncoder(latex_string_class=LatexChunkList,
|
||||
replacement_latex_protection='none')
|
||||
result = u.unicode_to_latex("é → α")
|
||||
# result.chunks == [ r"\'e", ' ', r'\textrightarrow', ' ',
|
||||
# r'\ensuremath{\alpha}' ]
|
||||
|
||||
.. warning::
|
||||
|
||||
None of the above attributes should be modified after constructing the
|
||||
object. The values specified to the class constructor are final and
|
||||
cannot be changed. [Indeed, the class constructor "compiles" these
|
||||
attribute values into a data structure that makes
|
||||
:py:meth:`unicode_to_text()` slightly more efficient.]
|
||||
|
||||
.. versionadded:: 2.0
|
||||
|
||||
This class was introduced in `pylatexenc 2.0`.
|
||||
"""
|
||||
|
||||
def __init__(self, **kwargs):
|
||||
self.non_ascii_only = kwargs.pop("non_ascii_only", False)
|
||||
self.conversion_rules = kwargs.pop("conversion_rules", ["defaults"])
|
||||
self.replacement_latex_protection = kwargs.pop(
|
||||
"replacement_latex_protection", "braces"
|
||||
)
|
||||
self.unknown_char_policy = kwargs.pop("unknown_char_policy", "keep")
|
||||
self.unknown_char_warning = kwargs.pop("unknown_char_warning", True)
|
||||
self.latex_string_class = kwargs.pop("latex_string_class", unicode)
|
||||
|
||||
if kwargs:
|
||||
logger.warning(
|
||||
"Ignoring unknown keyword arguments: %s", ",".join(kwargs.keys())
|
||||
)
|
||||
|
||||
super(UnicodeToLatexEncoder, self).__init__(**kwargs)
|
||||
|
||||
# build generator that expands built-in conversion rules
|
||||
expanded_conversion_rules = itertools.chain.from_iterable(
|
||||
(get_builtin_conversion_rules(r) if isinstance(r, basestring) else [r])
|
||||
for r in self.conversion_rules
|
||||
)
|
||||
|
||||
#
|
||||
# now "pre-compile" some stuff so that calls to unicode_to_latex() can
|
||||
# hopefully execute faster
|
||||
#
|
||||
|
||||
# "pre-compile" rules and check rule types:
|
||||
self._compiled_rules = []
|
||||
for rule in expanded_conversion_rules:
|
||||
if rule.rule_type == RULE_DICT:
|
||||
self._compiled_rules.append(
|
||||
functools.partial(self._apply_rule_dict, rule.rule, rule)
|
||||
)
|
||||
elif rule.rule_type == RULE_REGEX:
|
||||
self._compiled_rules.append(
|
||||
functools.partial(self._apply_rule_regex, rule.rule, rule)
|
||||
)
|
||||
elif rule.rule_type == RULE_CALLABLE:
|
||||
thecallable = rule.rule
|
||||
if "u2lobj" in getfullargspec(thecallable)[0]:
|
||||
thecallable = functools.partial(rule.rule, u2lobj=self)
|
||||
self._compiled_rules.append(
|
||||
functools.partial(self._apply_rule_callable, thecallable, rule)
|
||||
)
|
||||
else:
|
||||
raise TypeError("Invalid rule type: {}".format(rule.rule_type))
|
||||
|
||||
# bad char policy:
|
||||
if isinstance(self.unknown_char_policy, basestring):
|
||||
self._do_unknown_char = self._get_method_fn(
|
||||
"do_unknown_char", self.unknown_char_policy, what="unknown_char_policy"
|
||||
)
|
||||
elif callable(self.unknown_char_policy):
|
||||
fn = self.unknown_char_policy
|
||||
if "u2lobj" in getfullargspec(fn)[0]:
|
||||
self._do_unknown_char = functools.partial(
|
||||
self.unknown_char_policy, u2lobj=self
|
||||
)
|
||||
else:
|
||||
self._do_unknown_char = self.unknown_char_policy
|
||||
else:
|
||||
raise TypeError(
|
||||
"Invalid argument for unknown_char_policy: {!r}".format(
|
||||
self.unknown_char_policy
|
||||
)
|
||||
)
|
||||
|
||||
# bad char warning:
|
||||
if not self.unknown_char_warning:
|
||||
self._do_warn_unknown_char = lambda ch: None # replace method by no-op
|
||||
|
||||
# set a method that will skip ascii characters if required:
|
||||
if self.non_ascii_only:
|
||||
self._maybe_skip_ascii = self._check_do_skip_ascii
|
||||
else:
|
||||
self._maybe_skip_ascii = lambda s, p: False
|
||||
|
||||
# set a method to protect replacement latex code, if necessary:
|
||||
self._apply_protection = self._get_replacement_latex_fn(
|
||||
self.replacement_latex_protection
|
||||
)
|
||||
|
||||
def _get_method_fn(self, base, name, what):
|
||||
selfmethname = "_" + base + "_" + name.replace("-", "_")
|
||||
if not hasattr(self, selfmethname):
|
||||
raise ValueError("Invalid {}: {}".format(what, name))
|
||||
return getattr(self, selfmethname)
|
||||
|
||||
def _get_replacement_latex_fn(self, replacement_latex_protection):
|
||||
if callable(replacement_latex_protection):
|
||||
return replacement_latex_protection
|
||||
return self._get_method_fn(
|
||||
"apply_protection",
|
||||
replacement_latex_protection,
|
||||
what="replacement_latex_protection",
|
||||
)
|
||||
|
||||
def unicode_to_latex(self, s):
|
||||
"""
|
||||
Convert unicode characters in the string `s` into latex escape sequences,
|
||||
according to the rules and options given to the constructor.
|
||||
"""
|
||||
|
||||
s = unicode(s) # make sure s is unicode
|
||||
s = unicodedata.normalize("NFC", s)
|
||||
|
||||
class _NS:
|
||||
pass
|
||||
|
||||
p = _NS()
|
||||
p.latex = self.latex_string_class()
|
||||
p.pos = 0
|
||||
|
||||
while p.pos < len(s):
|
||||
|
||||
if self._maybe_skip_ascii(s, p):
|
||||
continue
|
||||
|
||||
for compiledrule in self._compiled_rules:
|
||||
if compiledrule(s, p):
|
||||
break
|
||||
else:
|
||||
# for-else, see
|
||||
# https://docs.python.org/2/tutorial/controlflow.html\
|
||||
# #break-and-continue-statements-and-else-clauses-on-loops
|
||||
ch = s[p.pos]
|
||||
o = ord(ch)
|
||||
if (o >= 32 and o <= 127) or (ch in "\n\r\t"):
|
||||
p.latex += ch
|
||||
p.pos += 1
|
||||
else:
|
||||
self._do_warn_unknown_char(ch)
|
||||
p.latex += self._do_unknown_char(ch)
|
||||
p.pos += 1
|
||||
|
||||
return p.latex
|
||||
|
||||
def _check_do_skip_ascii(self, s, p):
|
||||
if ord(s[p.pos]) < 127:
|
||||
# skip, we only want to convert non-ascii chars
|
||||
p.latex += s[p.pos]
|
||||
p.pos += 1
|
||||
return True
|
||||
return False
|
||||
|
||||
def _apply_rule_dict(self, ruledict, rule, s, p):
|
||||
o = ord(s[p.pos])
|
||||
if o in ruledict:
|
||||
self._apply_replacement(p, ruledict[o], 1, rule)
|
||||
return True
|
||||
return None
|
||||
|
||||
def _apply_rule_regex(self, ruleregexes, rule, s, p):
|
||||
for regex, repl in ruleregexes:
|
||||
m = regex.match(s, p.pos)
|
||||
if m is not None:
|
||||
if callable(repl):
|
||||
replstr = repl(m)
|
||||
else:
|
||||
replstr = m.expand(repl)
|
||||
self._apply_replacement(p, replstr, m.end() - m.start(), rule)
|
||||
return True
|
||||
return None
|
||||
|
||||
def _apply_rule_callable(self, rulecallable, rule, s, p):
|
||||
res = rulecallable(s, p.pos)
|
||||
if res is None:
|
||||
return None
|
||||
(consumed, repl) = res
|
||||
self._apply_replacement(p, repl, consumed, rule)
|
||||
return True
|
||||
|
||||
def _apply_replacement(self, p, repl, numchars, ruleobj):
|
||||
# check for possible replacement latex protection, like braces.
|
||||
|
||||
protect_fn = self._apply_protection
|
||||
|
||||
# maybe the rule object has overridden the replacement_latex_protection to use.
|
||||
if ruleobj.replacement_latex_protection is not None:
|
||||
protect_fn = self._get_replacement_latex_fn(
|
||||
ruleobj.replacement_latex_protection
|
||||
)
|
||||
|
||||
repl = protect_fn(repl)
|
||||
p.latex += repl
|
||||
p.pos += numchars
|
||||
|
||||
def _apply_protection_none(self, repl):
|
||||
# no protection
|
||||
return repl
|
||||
|
||||
def _apply_protection_braces(self, repl):
|
||||
k = repl.rfind("\\")
|
||||
if k >= 0 and repl[k + 1 :].isalpha():
|
||||
# has dangling named macro, apply protection.
|
||||
return "{" + repl + "}"
|
||||
return repl
|
||||
|
||||
def _apply_protection_braces_almost_all(self, repl):
|
||||
if repl[0:1] == "\\":
|
||||
return "{" + repl + "}"
|
||||
return repl
|
||||
|
||||
def _apply_protection_braces_all(self, repl):
|
||||
return "{" + repl + "}"
|
||||
|
||||
def _apply_protection_braces_after_macro(self, repl):
|
||||
k = repl.rfind("\\")
|
||||
if k >= 0 and repl[k + 1 :].isalpha():
|
||||
# has dangling named macro, apply protection.
|
||||
return repl + "{}"
|
||||
return repl
|
||||
|
||||
# policies for "bad chars":
|
||||
def _do_unknown_char_keep(self, ch):
|
||||
return ch
|
||||
|
||||
def _do_unknown_char_replace(self, ch):
|
||||
return r"{\bfseries ?}"
|
||||
|
||||
def _do_unknown_char_ignore(self, ch):
|
||||
return ""
|
||||
|
||||
def _do_unknown_char_fail(self, ch):
|
||||
raise ValueError(
|
||||
"No known latex representation for character: U+%04X - ‘%s’" % (ord(ch), ch)
|
||||
)
|
||||
|
||||
def _do_unknown_char_unihex(self, ch):
|
||||
return r"\ensuremath{\langle}\texttt{U+%04X}\ensuremath{\rangle}" % (ord(ch))
|
||||
|
||||
def _do_warn_unknown_char(self, ch):
|
||||
logger.warning(
|
||||
"No known latex representation for character: U+%04X - ‘%s’", ord(ch), ch
|
||||
)
|
||||
2873
good_ai/src/sus/external/pylatexenc/latexwalker/__init__.py
vendored
Normal file
2873
good_ai/src/sus/external/pylatexenc/latexwalker/__init__.py
vendored
Normal file
File diff suppressed because it is too large
Load diff
230
good_ai/src/sus/external/pylatexenc/latexwalker/__main__.py
vendored
Normal file
230
good_ai/src/sus/external/pylatexenc/latexwalker/__main__.py
vendored
Normal file
|
|
@ -0,0 +1,230 @@
|
|||
# -*- coding: utf-8 -*-
|
||||
#
|
||||
# The MIT License (MIT)
|
||||
#
|
||||
# Copyright (c) 2018 Philippe Faist
|
||||
#
|
||||
# Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
# of this software and associated documentation files (the "Software"), to deal
|
||||
# in the Software without restriction, including without limitation the rights
|
||||
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
# copies of the Software, and to permit persons to whom the Software is
|
||||
# furnished to do so, subject to the following conditions:
|
||||
#
|
||||
# The above copyright notice and this permission notice shall be included in
|
||||
# all copies or substantial portions of the Software.
|
||||
#
|
||||
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
|
||||
# THE SOFTWARE.
|
||||
#
|
||||
|
||||
import argparse
|
||||
import fileinput
|
||||
import json
|
||||
import logging
|
||||
import sys
|
||||
|
||||
from ..latexwalker import LatexWalker, disp_node, make_json_encoder
|
||||
from ..version import version_str
|
||||
|
||||
|
||||
def main(argv=None):
|
||||
|
||||
if argv is None:
|
||||
argv = sys.argv[1:]
|
||||
|
||||
parser = argparse.ArgumentParser(prog="latexwalker", add_help=False)
|
||||
|
||||
parser.add_argument(
|
||||
"--output-format",
|
||||
metavar="FORMAT",
|
||||
dest="output_format",
|
||||
choices=["human", "json"],
|
||||
default="human",
|
||||
help='Requested output format for the node tree ("human" or "json")',
|
||||
)
|
||||
parser.add_argument(
|
||||
"--json-indent",
|
||||
metavar="NUMSPACES",
|
||||
dest="json_indent",
|
||||
type=int,
|
||||
default=2,
|
||||
help="Indentation in JSON output (specify number of spaces "
|
||||
"per indentation level)",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--json-compact",
|
||||
dest="json_indent",
|
||||
action="store_const",
|
||||
const=None,
|
||||
help="Output compact JSON",
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"--keep-inline-math",
|
||||
action="store_const",
|
||||
const=True,
|
||||
dest="keep_inline_math",
|
||||
default=True,
|
||||
help=argparse.SUPPRESS,
|
||||
)
|
||||
parser.add_argument(
|
||||
"--no-keep-inline-math",
|
||||
action="store_const",
|
||||
const=False,
|
||||
dest="keep_inline_math",
|
||||
help=argparse.SUPPRESS,
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"--tolerant-parsing",
|
||||
action="store_const",
|
||||
const=True,
|
||||
dest="tolerant_parsing",
|
||||
default=True,
|
||||
)
|
||||
parser.add_argument(
|
||||
"--no-tolerant-parsing",
|
||||
action="store_const",
|
||||
const=False,
|
||||
dest="tolerant_parsing",
|
||||
help="Tolerate syntax errors when parsing, and attempt "
|
||||
"to continue (default yes)",
|
||||
)
|
||||
|
||||
# I'm not sure this flag is useful and if it should be exposed at all.
|
||||
# Accept it, but make it hidden.
|
||||
parser.add_argument(
|
||||
"--strict-braces",
|
||||
action="store_const",
|
||||
const=True,
|
||||
dest="strict_braces",
|
||||
default=False,
|
||||
help=argparse.SUPPRESS,
|
||||
)
|
||||
parser.add_argument(
|
||||
"--no-strict-braces",
|
||||
action="store_const",
|
||||
const=False,
|
||||
dest="strict_braces",
|
||||
# help="Report errors for mismatching LaTeX braces (default no)"
|
||||
help=argparse.SUPPRESS,
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"-q",
|
||||
"--quiet",
|
||||
dest="logging_level",
|
||||
action="store_const",
|
||||
const=logging.ERROR,
|
||||
default=logging.INFO,
|
||||
help="Suppress warning messages",
|
||||
)
|
||||
parser.add_argument(
|
||||
"-v",
|
||||
"--verbose",
|
||||
dest="logging_level",
|
||||
action="store_const",
|
||||
const=logging.DEBUG,
|
||||
help="Verbose output",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--version",
|
||||
action="version",
|
||||
version="pylatexenc {}".format(version_str),
|
||||
help="Show version information and exit",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--help", action="help", help="Show this help information and exit"
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"--code",
|
||||
"-c",
|
||||
action="store",
|
||||
default=None,
|
||||
metavar="LATEX_CODE",
|
||||
help="Convert the given LATEX_CODE to unicode text instead of reading "
|
||||
"from FILE or standard input. You cannot specify FILEs if you use this "
|
||||
"option, and any standard input is ignored.",
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"files",
|
||||
metavar="FILE",
|
||||
nargs="*",
|
||||
help="Input files (if none specified, read from stdandard input)",
|
||||
)
|
||||
|
||||
args = parser.parse_args(argv)
|
||||
|
||||
logging.basicConfig()
|
||||
logging.getLogger().setLevel(args.logging_level)
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
latex = ""
|
||||
if args.code:
|
||||
if args.files:
|
||||
logger.error(
|
||||
"Cannot specify both FILEs and --code option. "
|
||||
"Use --help option for more information."
|
||||
)
|
||||
sys.exit(1)
|
||||
latex = args.code
|
||||
else:
|
||||
for line in fileinput.input(files=args.files):
|
||||
latex += line
|
||||
|
||||
latexwalker = LatexWalker(
|
||||
latex, tolerant_parsing=args.tolerant_parsing, strict_braces=args.strict_braces
|
||||
)
|
||||
|
||||
(nodelist, pos, len_) = latexwalker.get_latex_nodes()
|
||||
|
||||
if args.output_format == "human":
|
||||
print("\n--- NODES ---\n")
|
||||
for n in nodelist:
|
||||
disp_node(n)
|
||||
print("\n-------------\n")
|
||||
return
|
||||
|
||||
if args.output_format == "json":
|
||||
json.dump(
|
||||
{
|
||||
"nodelist": nodelist,
|
||||
},
|
||||
sys.stdout,
|
||||
cls=make_json_encoder(latexwalker),
|
||||
indent=args.json_indent,
|
||||
)
|
||||
sys.stdout.write("\n")
|
||||
return
|
||||
|
||||
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()
|
||||
459
good_ai/src/sus/external/pylatexenc/latexwalker/_defaultspecs.py
vendored
Normal file
459
good_ai/src/sus/external/pylatexenc/latexwalker/_defaultspecs.py
vendored
Normal file
|
|
@ -0,0 +1,459 @@
|
|||
# -*- coding: utf-8 -*-
|
||||
#
|
||||
# The MIT License (MIT)
|
||||
#
|
||||
# Copyright (c) 2019 Philippe Faist
|
||||
#
|
||||
# Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
# of this software and associated documentation files (the "Software"), to deal
|
||||
# in the Software without restriction, including without limitation the rights
|
||||
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
# copies of the Software, and to permit persons to whom the Software is
|
||||
# furnished to do so, subject to the following conditions:
|
||||
#
|
||||
# The above copyright notice and this permission notice shall be included in
|
||||
# all copies or substantial portions of the Software.
|
||||
#
|
||||
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
|
||||
# THE SOFTWARE.
|
||||
#
|
||||
|
||||
|
||||
# Internal module. May change without notice.
|
||||
|
||||
|
||||
from ..macrospec import (
|
||||
EnvironmentSpec,
|
||||
MacroSpec,
|
||||
MacroStandardArgsParser,
|
||||
VerbatimArgsParser,
|
||||
std_environment,
|
||||
std_macro,
|
||||
std_specials,
|
||||
)
|
||||
|
||||
specs = [
|
||||
#
|
||||
# CATEGORY: latex-base
|
||||
#
|
||||
(
|
||||
"latex-base",
|
||||
{
|
||||
"macros": [
|
||||
std_macro("documentclass", True, 1),
|
||||
std_macro("usepackage", True, 1),
|
||||
std_macro("RequirePackage", True, 1),
|
||||
std_macro("selectlanguage", True, 1),
|
||||
std_macro("setlength", True, 2),
|
||||
std_macro("addlength", True, 2),
|
||||
std_macro("setcounter", True, 2),
|
||||
std_macro("addcounter", True, 2),
|
||||
std_macro("newcommand", "*{[[{"),
|
||||
std_macro("renewcommand", "*{[[{"),
|
||||
std_macro("providecommand", "*{[[{"),
|
||||
std_macro("newenvironment", "*{[[{{"),
|
||||
std_macro("renewenvironment", "*{[[{{"),
|
||||
std_macro("provideenvironment", "*{[[{{"),
|
||||
std_macro("DeclareMathOperator", "*{{"),
|
||||
std_macro("hspace", "*{"),
|
||||
std_macro("vspace", "*{"),
|
||||
MacroSpec(
|
||||
"mbox",
|
||||
args_parser=MacroStandardArgsParser("{", args_math_mode=[False]),
|
||||
),
|
||||
# \title, \author, \date
|
||||
MacroSpec("title", "{"),
|
||||
MacroSpec("author", "{"),
|
||||
MacroSpec("date", "{"),
|
||||
# (Note: single backslash) end of line with optional no-break ('*') and
|
||||
# additional vertical spacing, e.g. \\*[2mm]
|
||||
#
|
||||
# Special for this command: don't allow an optional spacing argument
|
||||
# [2mm] to be separated by spaces from the rest of the macro. This
|
||||
# emulates the behavior in AMS environments, and avoids some errors;
|
||||
# e.g. in "\begin{align} A=0 \\ [C,D]=0 \end{align}" the "[C,D]"
|
||||
# does not get captured as an optional macro argument.
|
||||
MacroSpec(
|
||||
"\\",
|
||||
args_parser=MacroStandardArgsParser(
|
||||
"*[", optional_arg_no_space=True
|
||||
),
|
||||
),
|
||||
std_macro("item", True, 0),
|
||||
# \input{someotherfile}
|
||||
std_macro("input", False, 1),
|
||||
std_macro("include", False, 1),
|
||||
std_macro("includegraphics", True, 1),
|
||||
std_macro("chapter", "*[{"),
|
||||
std_macro("section", "*[{"),
|
||||
std_macro("subsection", "*[{"),
|
||||
std_macro("subsubsection", "*[{"),
|
||||
std_macro("pagagraph", "*[{"),
|
||||
std_macro("subparagraph", "*[{"),
|
||||
std_macro("bibliography", "{"),
|
||||
std_macro("emph", False, 1),
|
||||
MacroSpec(
|
||||
"textrm",
|
||||
args_parser=MacroStandardArgsParser("{", args_math_mode=[False]),
|
||||
),
|
||||
MacroSpec(
|
||||
"textit",
|
||||
args_parser=MacroStandardArgsParser("{", args_math_mode=[False]),
|
||||
),
|
||||
MacroSpec(
|
||||
"textbf",
|
||||
args_parser=MacroStandardArgsParser("{", args_math_mode=[False]),
|
||||
),
|
||||
MacroSpec(
|
||||
"textmd",
|
||||
args_parser=MacroStandardArgsParser("{", args_math_mode=[False]),
|
||||
),
|
||||
MacroSpec(
|
||||
"textsc",
|
||||
args_parser=MacroStandardArgsParser("{", args_math_mode=[False]),
|
||||
),
|
||||
MacroSpec(
|
||||
"textsf",
|
||||
args_parser=MacroStandardArgsParser("{", args_math_mode=[False]),
|
||||
),
|
||||
MacroSpec(
|
||||
"textsl",
|
||||
args_parser=MacroStandardArgsParser("{", args_math_mode=[False]),
|
||||
),
|
||||
MacroSpec(
|
||||
"texttt",
|
||||
args_parser=MacroStandardArgsParser("{", args_math_mode=[False]),
|
||||
),
|
||||
MacroSpec(
|
||||
"textup",
|
||||
args_parser=MacroStandardArgsParser("{", args_math_mode=[False]),
|
||||
),
|
||||
MacroSpec(
|
||||
"text",
|
||||
args_parser=MacroStandardArgsParser("{", args_math_mode=[False]),
|
||||
),
|
||||
std_macro("mathrm", False, 1), # only allowed in math mode anyway
|
||||
std_macro("mathbb", False, 1), # only allowed in math mode anyway
|
||||
std_macro("mathbf", False, 1),
|
||||
std_macro("mathit", False, 1),
|
||||
std_macro("mathsf", False, 1),
|
||||
std_macro("mathtt", False, 1),
|
||||
std_macro("mathcal", False, 1),
|
||||
std_macro("mathscr", False, 1),
|
||||
std_macro("mathfrak", False, 1),
|
||||
std_macro("label", False, 1),
|
||||
std_macro("ref", False, 1),
|
||||
std_macro("autoref", False, 1),
|
||||
std_macro("cref", False, 1),
|
||||
std_macro("Cref", False, 1),
|
||||
std_macro("eqref", False, 1),
|
||||
std_macro("url", False, 1),
|
||||
std_macro("hypersetup", False, 1),
|
||||
std_macro("footnote", True, 1),
|
||||
std_macro("keywords", False, 1),
|
||||
std_macro("hphantom", True, 1),
|
||||
std_macro("vphantom", True, 1),
|
||||
std_macro("'", False, 1),
|
||||
std_macro("`", False, 1),
|
||||
std_macro('"', False, 1),
|
||||
std_macro("c", False, 1),
|
||||
std_macro("^", False, 1),
|
||||
std_macro("~", False, 1),
|
||||
std_macro("H", False, 1),
|
||||
std_macro("k", False, 1),
|
||||
std_macro("=", False, 1),
|
||||
std_macro("b", False, 1),
|
||||
std_macro(".", False, 1),
|
||||
std_macro("d", False, 1),
|
||||
std_macro("r", False, 1),
|
||||
std_macro("u", False, 1),
|
||||
std_macro("v", False, 1),
|
||||
MacroSpec(
|
||||
"ensuremath",
|
||||
args_parser=MacroStandardArgsParser("{", args_math_mode=[True]),
|
||||
),
|
||||
std_macro("not", False, 1),
|
||||
std_macro("vec", False, 1),
|
||||
std_macro("dot", False, 1),
|
||||
std_macro("hat", False, 1),
|
||||
std_macro("check", False, 1),
|
||||
std_macro("breve", False, 1),
|
||||
std_macro("acute", False, 1),
|
||||
std_macro("grave", False, 1),
|
||||
std_macro("tilde", False, 1),
|
||||
std_macro("bar", False, 1),
|
||||
std_macro("ddot", False, 1),
|
||||
std_macro("frac", False, 2),
|
||||
std_macro("nicefrac", False, 2),
|
||||
std_macro("sqrt", True, 1),
|
||||
MacroSpec("overline", "{"),
|
||||
MacroSpec("underline", "{"),
|
||||
MacroSpec("widehat", "{"),
|
||||
MacroSpec("widetilde", "{"),
|
||||
MacroSpec("wideparen", "{"),
|
||||
MacroSpec("overleftarrow", "{"),
|
||||
MacroSpec("overrightarrow", "{"),
|
||||
MacroSpec("overleftrightarrow", "{"),
|
||||
MacroSpec("underleftarrow", "{"),
|
||||
MacroSpec("underrightarrow", "{"),
|
||||
MacroSpec("underleftrightarrow", "{"),
|
||||
MacroSpec("overbrace", "{"),
|
||||
MacroSpec("underbrace", "{"),
|
||||
MacroSpec("overgroup", "{"),
|
||||
MacroSpec("undergroup", "{"),
|
||||
MacroSpec("overbracket", "{"),
|
||||
MacroSpec("underbracket", "{"),
|
||||
MacroSpec("overlinesegment", "{"),
|
||||
MacroSpec("underlinesegment", "{"),
|
||||
MacroSpec("overleftharpoon", "{"),
|
||||
MacroSpec("overrightharpoon", "{"),
|
||||
MacroSpec("xleftarrow", "[{"),
|
||||
MacroSpec("xrightarrow", "[{"),
|
||||
std_macro("ket", False, 1),
|
||||
std_macro("bra", False, 1),
|
||||
std_macro("braket", False, 2),
|
||||
std_macro("ketbra", False, 2),
|
||||
std_macro("texorpdfstring", False, 2),
|
||||
# xcolor commands
|
||||
MacroSpec("definecolor", "[{{{"),
|
||||
MacroSpec("providecolor", "[{{{"),
|
||||
MacroSpec("colorlet", "[{[{"),
|
||||
MacroSpec("color", "[{"),
|
||||
MacroSpec("textcolor", "[{{"),
|
||||
MacroSpec("pagecolor", "[{"),
|
||||
MacroSpec("nopagecolor", ""),
|
||||
MacroSpec("colorbox", "[{{"),
|
||||
MacroSpec("fcolorbox", "[{[{{"),
|
||||
MacroSpec("boxframe", "{{{"),
|
||||
MacroSpec("rowcolors", "*[{{{"),
|
||||
],
|
||||
"environments": [
|
||||
# NOTE: Starred variants (as in \begin{equation*}) are not specified as
|
||||
# for macros with an argspec='*'. Rather, we need to define a separate
|
||||
# spec for the starred variant as the star really is part of the
|
||||
# environment name. If you specify argspec='*', the parser will try to
|
||||
# look for an expression of the form '\begin{equation}*'
|
||||
std_environment("figure", "["),
|
||||
std_environment("figure*", "["),
|
||||
std_environment("table", "["),
|
||||
std_environment("table*", "["),
|
||||
std_environment("abstract", None),
|
||||
std_environment("tabular", "{"),
|
||||
std_environment("tabular*", "{{"),
|
||||
std_environment("tabularx", "{[{"),
|
||||
std_environment("array", "[{"),
|
||||
std_environment("equation", None, is_math_mode=True),
|
||||
std_environment("equation*", None, is_math_mode=True),
|
||||
std_environment("eqnarray", None, is_math_mode=True),
|
||||
std_environment("eqnarray*", None, is_math_mode=True),
|
||||
# AMS environments
|
||||
std_environment("align", None, is_math_mode=True),
|
||||
std_environment("align*", None, is_math_mode=True),
|
||||
std_environment("gather", None, is_math_mode=True),
|
||||
std_environment("gather*", None, is_math_mode=True),
|
||||
std_environment("flalign", None, is_math_mode=True),
|
||||
std_environment("flalign*", None, is_math_mode=True),
|
||||
std_environment("multline", None, is_math_mode=True),
|
||||
std_environment("multline*", None, is_math_mode=True),
|
||||
std_environment("alignat", "{", is_math_mode=True),
|
||||
std_environment("alignat*", "{", is_math_mode=True),
|
||||
std_environment("split", None, is_math_mode=True),
|
||||
],
|
||||
"specials": [
|
||||
std_specials("&"),
|
||||
# TODO --- for this, we need to parse their argument but don't use
|
||||
# the standard args parser because we need to be able to
|
||||
# accept arguments like "x_\mathrm{initial}"
|
||||
#
|
||||
# std_specials('^'),
|
||||
# std_specials('_'),
|
||||
],
|
||||
},
|
||||
),
|
||||
#
|
||||
# CATEGORY: nonascii-specials
|
||||
#
|
||||
(
|
||||
"nonascii-specials",
|
||||
{
|
||||
"macros": [],
|
||||
"environments": [],
|
||||
"specials": [
|
||||
std_specials("~"),
|
||||
# cf. https://tex.stackexchange.com/a/439652/32188 "fake ligatures":
|
||||
std_specials("``"),
|
||||
std_specials("''"),
|
||||
std_specials("--"),
|
||||
std_specials("---"),
|
||||
std_specials("!`"),
|
||||
std_specials("?`"),
|
||||
],
|
||||
},
|
||||
),
|
||||
#
|
||||
# CATEGORY: verbatim
|
||||
#
|
||||
(
|
||||
"verbatim",
|
||||
{
|
||||
"macros": [
|
||||
MacroSpec(
|
||||
"verb",
|
||||
args_parser=VerbatimArgsParser(verbatim_arg_type="verb-macro"),
|
||||
),
|
||||
],
|
||||
"environments": [
|
||||
EnvironmentSpec(
|
||||
"verbatim",
|
||||
args_parser=VerbatimArgsParser(
|
||||
verbatim_arg_type="verbatim-environment"
|
||||
),
|
||||
),
|
||||
],
|
||||
"specials": [
|
||||
# optionally users could include the specials "|" like in latex-doc
|
||||
# for verbatim |\like \this|...
|
||||
],
|
||||
},
|
||||
),
|
||||
#
|
||||
# CATEGORY: theorems
|
||||
#
|
||||
(
|
||||
"theorems",
|
||||
{
|
||||
"macros": [],
|
||||
"environments": [
|
||||
std_environment("theorem", "["),
|
||||
std_environment("proposition", "["),
|
||||
std_environment("lemma", "["),
|
||||
std_environment("corollary", "["),
|
||||
std_environment("definition", "["),
|
||||
std_environment("conjecture", "["),
|
||||
std_environment("remark", "["),
|
||||
#
|
||||
std_environment("proof", "["),
|
||||
# short names
|
||||
std_environment("thm", "["),
|
||||
std_environment("prop", "["),
|
||||
std_environment("lem", "["),
|
||||
std_environment("cor", "["),
|
||||
std_environment("conj", "["),
|
||||
std_environment("rem", "["),
|
||||
std_environment("defn", "["),
|
||||
],
|
||||
"specials": [],
|
||||
},
|
||||
),
|
||||
#
|
||||
# CATEGORY: enumitem
|
||||
#
|
||||
(
|
||||
"enumitem",
|
||||
{
|
||||
"macros": [],
|
||||
"environments": [
|
||||
std_environment("enumerate", "["),
|
||||
std_environment("itemize", "["),
|
||||
std_environment("description", "["),
|
||||
],
|
||||
"specials": [],
|
||||
},
|
||||
),
|
||||
#
|
||||
# CATEGORY: natbib
|
||||
#
|
||||
(
|
||||
"natbib",
|
||||
{
|
||||
"macros": [
|
||||
std_macro("cite", "*[[{"),
|
||||
std_macro("citet", "*[[{"),
|
||||
std_macro("citep", "*[[{"),
|
||||
std_macro("citealt", "*[[{"),
|
||||
std_macro("citealp", "*[[{"),
|
||||
std_macro("citeauthor", "*[[{"),
|
||||
std_macro("citefullauthor", "[[{"),
|
||||
std_macro("citeyear", "[[{"),
|
||||
std_macro("citeyearpar", "[[{"),
|
||||
std_macro("Citet", "*[[{"),
|
||||
std_macro("Citep", "*[[{"),
|
||||
std_macro("Citealt", "*[[{"),
|
||||
std_macro("Citealp", "*[[{"),
|
||||
std_macro("Citeauthor", "*[[{"),
|
||||
std_macro("citetext", "{"),
|
||||
std_macro("citenum", "{"),
|
||||
std_macro("defcitealias", "{{"),
|
||||
std_macro("citetalias", "[[{"),
|
||||
std_macro("citepalias", "[[{"),
|
||||
],
|
||||
"environments": [],
|
||||
"specials": [],
|
||||
},
|
||||
),
|
||||
#
|
||||
# CATEGORY: latex-ethuebung
|
||||
#
|
||||
(
|
||||
"latex-ethuebung",
|
||||
{
|
||||
"macros": [
|
||||
# ethuebung
|
||||
std_macro("UebungLoesungFont", False, 1),
|
||||
std_macro("UebungHinweisFont", False, 1),
|
||||
std_macro("UebungExTitleFont", False, 1),
|
||||
std_macro("UebungSubExTitleFont", False, 1),
|
||||
std_macro("UebungTipsFont", False, 1),
|
||||
std_macro("UebungLabel", False, 1),
|
||||
std_macro("UebungSubLabel", False, 1),
|
||||
std_macro("UebungLabelEnum", False, 1),
|
||||
std_macro("UebungLabelEnumSub", False, 1),
|
||||
std_macro("UebungSolLabel", False, 1),
|
||||
std_macro("UebungHinweisLabel", False, 1),
|
||||
std_macro("UebungHinweiseLabel", False, 1),
|
||||
std_macro("UebungSolEquationLabel", False, 1),
|
||||
std_macro("UebungTipsLabel", False, 1),
|
||||
std_macro("UebungTipsEquationLabel", False, 1),
|
||||
std_macro("UebungsblattTitleSeries", False, 1),
|
||||
std_macro("UebungsblattTitleSolutions", False, 1),
|
||||
std_macro("UebungsblattTitleTips", False, 1),
|
||||
std_macro("UebungsblattNumber", False, 1),
|
||||
std_macro("UebungsblattTitleFont", False, 1),
|
||||
std_macro("UebungTitleCenterVSpacing", False, 1),
|
||||
std_macro("UebungAttachedSolutionTitleTop", False, 1),
|
||||
std_macro("UebungAttachedSolutionTitleFont", False, 1),
|
||||
std_macro("UebungAttachedSolutionTitle", False, 1),
|
||||
std_macro("UebungTextAttachedSolution", False, 1),
|
||||
std_macro("UebungDueByLabel", False, 1),
|
||||
std_macro("UebungDueBy", False, 1),
|
||||
std_macro("UebungLecture", False, 1),
|
||||
std_macro("UebungProf", False, 1),
|
||||
std_macro("UebungLecturer", False, 1),
|
||||
std_macro("UebungSemester", False, 1),
|
||||
std_macro("UebungLogoFile", False, 1),
|
||||
std_macro("UebungLanguage", False, 1),
|
||||
std_macro("UebungStyle", False, 1),
|
||||
#
|
||||
std_macro("uebung", "{["),
|
||||
std_macro("exercise", "{["),
|
||||
std_macro("keywords", False, 1),
|
||||
std_macro("subuebung", False, 1),
|
||||
std_macro("subexercise", False, 1),
|
||||
std_macro("pdfloesung", True, 1),
|
||||
std_macro("pdfsolution", True, 1),
|
||||
std_macro("exenumfulllabel", False, 1),
|
||||
std_macro("hint", False, 1),
|
||||
std_macro("hints", False, 1),
|
||||
std_macro("hinweis", False, 1),
|
||||
std_macro("hinweise", False, 1),
|
||||
],
|
||||
"environments": [],
|
||||
"specials": [],
|
||||
},
|
||||
),
|
||||
]
|
||||
785
good_ai/src/sus/external/pylatexenc/macrospec/__init__.py
vendored
Normal file
785
good_ai/src/sus/external/pylatexenc/macrospec/__init__.py
vendored
Normal file
|
|
@ -0,0 +1,785 @@
|
|||
# -*- coding: utf-8 -*-
|
||||
#
|
||||
# The MIT License (MIT)
|
||||
#
|
||||
# Copyright (c) 2019 Philippe Faist
|
||||
#
|
||||
# Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
# of this software and associated documentation files (the "Software"), to deal
|
||||
# in the Software without restriction, including without limitation the rights
|
||||
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
# copies of the Software, and to permit persons to whom the Software is
|
||||
# furnished to do so, subject to the following conditions:
|
||||
#
|
||||
# The above copyright notice and this permission notice shall be included in
|
||||
# all copies or substantial portions of the Software.
|
||||
#
|
||||
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
|
||||
# THE SOFTWARE.
|
||||
#
|
||||
|
||||
r"""
|
||||
Provides classes and helper functions to describe a LaTeX context of known
|
||||
macros and environments, specifying how they should be parsed by
|
||||
:py:mod:`pylatexenc.latexwalker`.
|
||||
|
||||
.. versionadded:: 2.0
|
||||
|
||||
The entire module :py:mod:`pylatexenc.macrospec` was introduced in
|
||||
`pylatexenc 2.0`.
|
||||
"""
|
||||
|
||||
|
||||
import sys
|
||||
|
||||
if sys.version_info.major > 2:
|
||||
# Py3
|
||||
def unicode(s):
|
||||
return s
|
||||
|
||||
_basestring = str
|
||||
_str_from_unicode = lambda x: x
|
||||
_unicode_from_str = lambda x: x
|
||||
else:
|
||||
# Py2
|
||||
_basestring = basestring
|
||||
_str_from_unicode = lambda x: unicode(x).encode("utf-8")
|
||||
_unicode_from_str = lambda x: x.decode("utf-8")
|
||||
|
||||
|
||||
# ------------------------------------------------------------------------------
|
||||
|
||||
from ._argparsers import (
|
||||
MacroStandardArgsParser,
|
||||
ParsedMacroArgs,
|
||||
ParsedVerbatimArgs,
|
||||
VerbatimArgsParser,
|
||||
)
|
||||
|
||||
# ------------------------------------------------------------------------------
|
||||
|
||||
|
||||
class MacroSpec(object):
|
||||
r"""
|
||||
Stores the specification of a macro.
|
||||
|
||||
This stores the macro name and instructions on how to parse the macro
|
||||
arguments.
|
||||
|
||||
.. py:attribute:: macroname
|
||||
|
||||
The name of the macro, without the leading backslash.
|
||||
|
||||
.. py:attribute:: args_parser
|
||||
|
||||
The parser instance that can understand this macro's arguments. For
|
||||
standard LaTeX macros this is usually a
|
||||
:py:class:`MacroStandardArgsParser` instance.
|
||||
|
||||
If you specify a string, then for convenience this is interpreted as an
|
||||
argspec argument for :py:class:`MacroStandardArgsParser` and such an
|
||||
instance is automatically created.
|
||||
"""
|
||||
|
||||
def __init__(self, macroname, args_parser=MacroStandardArgsParser(), **kwargs):
|
||||
super(MacroSpec, self).__init__(**kwargs)
|
||||
self.macroname = macroname
|
||||
if isinstance(args_parser, _basestring):
|
||||
self.args_parser = MacroStandardArgsParser(args_parser)
|
||||
else:
|
||||
self.args_parser = args_parser
|
||||
|
||||
def parse_args(self, *args, **kwargs):
|
||||
r"""
|
||||
Shorthand for calling the :py:attr:`args_parser`\ 's `parse_args()` method.
|
||||
See :py:class:`MacroStandardArgsParser`.
|
||||
"""
|
||||
return self.args_parser.parse_args(*args, **kwargs)
|
||||
|
||||
def __repr__(self):
|
||||
return "MacroSpec(macroname=%r, args_parser=%r)" % (
|
||||
self.macroname,
|
||||
self.args_parser,
|
||||
)
|
||||
|
||||
|
||||
class EnvironmentSpec(object):
|
||||
r"""
|
||||
Stores the specification of a LaTeX environment.
|
||||
|
||||
This stores the environment name and instructions on how to parse any
|
||||
arguments provided after ``\begin{environment}<args>``.
|
||||
|
||||
.. py:attribute:: environmentname
|
||||
|
||||
The name of the environment, i.e., the argument of ``\begin{...}`` and
|
||||
``\end{...}``.
|
||||
|
||||
.. py:attribute:: args_parser
|
||||
|
||||
The parser instance that can understand this environment's arguments.
|
||||
For standard LaTeX environment this is usually a
|
||||
:py:class:`MacroStandardArgsParser` instance.
|
||||
|
||||
If you specify a string, then for convenience this is interpreted as an
|
||||
argspec argument for :py:class:`MacroStandardArgsParser` and such an
|
||||
instance is automatically created.
|
||||
|
||||
.. py:attribute:: is_math_mode
|
||||
|
||||
A boolean that indicates whether or not the contents is to be interpreted
|
||||
in Math Mode. This would be True for environments like
|
||||
``\begin{equation}``, ``\begin{align}``, etc., but False for
|
||||
``\begin{figure}``, etc.
|
||||
|
||||
.. note::
|
||||
|
||||
Starred variants of environments (as in ``\begin{equation*}``) must not
|
||||
be specified using an argspec as for macros (e.g., `argspec='*'`).
|
||||
Rather, we need to define a separate environment spec for the starred
|
||||
variant with the star in the name itself (``EnvironmentSpec('equation*',
|
||||
None)``) because the star really is part of the environment name. If you
|
||||
happened to use ``EnvironmentSpec('equation', '*')``, then the parser
|
||||
would recognize the expression ``\begin{equation}*`` but not
|
||||
``\begin{equation*}``.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
environmentname,
|
||||
args_parser=MacroStandardArgsParser(),
|
||||
is_math_mode=False,
|
||||
**kwargs
|
||||
):
|
||||
super(EnvironmentSpec, self).__init__(**kwargs)
|
||||
self.environmentname = environmentname
|
||||
if isinstance(args_parser, _basestring):
|
||||
self.args_parser = MacroStandardArgsParser(args_parser)
|
||||
else:
|
||||
self.args_parser = args_parser
|
||||
self.is_math_mode = is_math_mode
|
||||
|
||||
def parse_args(self, *args, **kwargs):
|
||||
r"""
|
||||
Shorthand for calling the :py:attr:`args_parser`\ 's `parse_args()` method.
|
||||
See :py:class:`MacroStandardArgsParser`.
|
||||
"""
|
||||
return self.args_parser.parse_args(*args, **kwargs)
|
||||
|
||||
def __repr__(self):
|
||||
return (
|
||||
"EnvironmentSpec(environmentname=%r, args_parser=%r, is_math_mode=%r)"
|
||||
% (self.environmentname, self.args_parser, self.is_math_mode)
|
||||
)
|
||||
|
||||
|
||||
class SpecialsSpec(object):
|
||||
r"""
|
||||
Specification of a LaTeX "special char sequence": an active char, a
|
||||
ligature, or some other non-macro char sequence that has a special meaning.
|
||||
|
||||
For instance, '&', '~', and '``' are considered as "specials".
|
||||
|
||||
.. py:attribute:: specials_chars
|
||||
|
||||
The string (one or several characters) that has a special meaning. E.g.,
|
||||
'&', '~', '``', etc.
|
||||
|
||||
.. py:attribute:: args_parser
|
||||
|
||||
A parser (e.g. :py:class:`MacroStandardArgsParser`) that is invoked when
|
||||
the specials is encountered. Can/should be set to `None` if the specials
|
||||
should not parse any arguments (e.g. '~').
|
||||
"""
|
||||
|
||||
def __init__(self, specials_chars, args_parser=None, **kwargs):
|
||||
super(SpecialsSpec, self).__init__(**kwargs)
|
||||
self.specials_chars = specials_chars
|
||||
self.args_parser = args_parser
|
||||
|
||||
def parse_args(self, *args, **kwargs):
|
||||
r"""
|
||||
Basically a shorthand for calling the :py:attr:`args_parser`\ 's
|
||||
`parse_args()` method. See :py:class:`MacroStandardArgsParser`.
|
||||
|
||||
If however the py:attr:`args_parser` attribute is `None`, then this
|
||||
method returns `None`.
|
||||
"""
|
||||
if self.args_parser is None:
|
||||
return None
|
||||
return self.args_parser.parse_args(*args, **kwargs)
|
||||
|
||||
def __repr__(self):
|
||||
return "SpecialsSpec(specials_chars=%r, args_parser=%r)" % (
|
||||
self.specials_chars,
|
||||
self.args_parser,
|
||||
)
|
||||
|
||||
|
||||
# ------------------------------------------------------------------------------
|
||||
|
||||
|
||||
def std_macro(macname, *args, **kwargs):
|
||||
r"""
|
||||
Return a macro specification for the given macro. Syntax::
|
||||
|
||||
spec = std_macro(macname, argspec)
|
||||
# or
|
||||
spec = std_macro(macname, optarg, numargs)
|
||||
# or
|
||||
spec = std_macro( (macname, argspec), )
|
||||
# or
|
||||
spec = std_macro( (macname, optarg, numargs), )
|
||||
# or
|
||||
spec = std_macro( spec ) # spec is already a `MacroSpec` -- no-op
|
||||
|
||||
- `macname` is the name of the macro, without the leading backslash.
|
||||
|
||||
- `argspec` is a string either characters "\*", "{" or "[", in which star
|
||||
indicates an optional asterisk character (e.g. starred macro variants),
|
||||
each curly brace specifies a mandatory argument and each square bracket
|
||||
specifies an optional argument in square brackets. For example, "{{\*[{"
|
||||
expects two mandatory arguments, then an optional star, an optional
|
||||
argument in square brackets, and then another mandatory argument.
|
||||
|
||||
`argspec` may also be `None`, which is the same as ``argspec=''``.
|
||||
|
||||
- `optarg` may be one of `True`, `False`, or `None`, corresponding to these
|
||||
possibilities:
|
||||
|
||||
+ if `True`, the macro expects as first argument an optional argument in
|
||||
square brackets. Then, `numargs` specifies the number of additional
|
||||
mandatory arguments to the command, given in usual curly braces (or
|
||||
simply as one TeX token like a single macro)
|
||||
|
||||
+ if `False`, the macro only expects a number of mandatory arguments given
|
||||
by `numargs`. The mandatory arguments are given in usual curly braces
|
||||
(or simply as one TeX token like a single macro)
|
||||
|
||||
+ if `None`, then `numargs` is a string like `argspec` above. I.e.,
|
||||
``std_macro(macname, None, argspec)`` is the same as
|
||||
``std_macro(macname, argspec)``.
|
||||
|
||||
- `numargs`: depends on `optarg`, see above.
|
||||
|
||||
To make environment specifications (:py:class:`EnvironmentSpec`) instead of
|
||||
a macro specification, use the function :py:func:`std_environment()`
|
||||
instead.
|
||||
|
||||
The helper function :py:func:`std_environment()` is a shorthand for calling
|
||||
this function with additional keyword arguments. An optional keyword
|
||||
argument `make_environment_spec=True` to the present function may be
|
||||
specified to return an `EnvironmentSpec` instead of a `MacroSpec`. In this
|
||||
case, you can further specify the `environment_is_math_mode=True|False` to
|
||||
specify whether of not the environment represents a math mode.
|
||||
"""
|
||||
|
||||
if isinstance(macname, tuple):
|
||||
if len(args) != 0:
|
||||
raise TypeError(
|
||||
"No positional arguments expected if first argument is a tuple"
|
||||
)
|
||||
args = tuple(macname[1:])
|
||||
macname = macname[0]
|
||||
|
||||
if isinstance(macname, MacroSpec):
|
||||
if len(args) != 0:
|
||||
raise TypeError(
|
||||
"No positional arguments expected if first argument is a MacroSpec"
|
||||
)
|
||||
return macname
|
||||
|
||||
if isinstance(macname, EnvironmentSpec):
|
||||
if len(args) != 0:
|
||||
raise TypeError(
|
||||
"No positional arguments expected if first argument is a EnvironmentSpec"
|
||||
)
|
||||
return macname
|
||||
|
||||
if len(args) == 1:
|
||||
# std_macro(macname, argspec)
|
||||
argspec = args[0]
|
||||
elif len(args) != 2:
|
||||
raise TypeError(
|
||||
"Wrong number of arguments for std_macro, macname={!r}, args={!r}".format(
|
||||
macname, args
|
||||
)
|
||||
)
|
||||
elif not args[0] and isinstance(args[1], _basestring):
|
||||
# argspec given in numargs
|
||||
argspec = args[1]
|
||||
else:
|
||||
argspec = ""
|
||||
if args[0]:
|
||||
argspec = "["
|
||||
argspec += "{" * args[1]
|
||||
|
||||
if kwargs.get("make_environment_spec", False):
|
||||
return EnvironmentSpec(
|
||||
macname,
|
||||
args_parser=MacroStandardArgsParser(argspec),
|
||||
is_math_mode=kwargs.get("environment_is_math_mode", False),
|
||||
)
|
||||
return MacroSpec(macname, args_parser=MacroStandardArgsParser(argspec))
|
||||
|
||||
|
||||
def std_environment(envname, *args, **kwargs):
|
||||
r"""
|
||||
Return an environment specification for the given environment. Syntax::
|
||||
|
||||
spec = std_environment(envname, argspec, is_math_mode=True|False)
|
||||
# or
|
||||
spec = std_environment(envname, optarg, numargs, is_math_mode=True|False)
|
||||
# or
|
||||
spec = std_environment( (envname, argspec), is_math_mode=True|False)
|
||||
# or
|
||||
spec = std_environment( (envname, optarg, numargs), is_math_mode=True|False)
|
||||
# or
|
||||
spec = std_environment( spec ) # spec is already a `EnvironmentSpec` -- no-op
|
||||
|
||||
- `envname` is the name of the environment, i.e., the argument to
|
||||
``\begin{...}``.
|
||||
|
||||
- `argspec` is a string either characters "\*", "{" or "[", in which star
|
||||
indicates an optional asterisk character (e.g. starred environment
|
||||
variants), each curly brace specifies a mandatory argument and each square
|
||||
bracket specifies an optional argument in square brackets. For example,
|
||||
"{{\*[{" expects two mandatory arguments, then an optional star, an
|
||||
optional argument in square brackets, and then another mandatory argument.
|
||||
|
||||
`argspec` may also be `None`, which is the same as ``argspec=''``.
|
||||
|
||||
.. note::
|
||||
|
||||
See :py:class:`EnvironmentSpec` for an important remark about starred
|
||||
variants for environments. TL;DR: a starred verison of an environment is
|
||||
defined as a separate `EnvironmentSpec` with the star in the name and
|
||||
*not* using an ``argspec='*'``.
|
||||
|
||||
- `optarg` may be one of `True`, `False`, or `None`, corresponding to these
|
||||
possibilities:
|
||||
|
||||
+ if `True`, the environment expects as first argument an optional argument in
|
||||
square brackets. Then, `numargs` specifies the number of additional
|
||||
mandatory arguments to the command, given in usual curly braces (or
|
||||
simply as one TeX token like a single environment)
|
||||
|
||||
+ if `False`, the environment only expects a number of mandatory arguments given
|
||||
by `numargs`. The mandatory arguments are given in usual curly braces
|
||||
(or simply as one TeX token like a single environment)
|
||||
|
||||
+ if `None`, then `numargs` is a string like `argspec` above. I.e.,
|
||||
``std_environment(envname, None, argspec)`` is the same as
|
||||
``std_environment(envname, argspec)``.
|
||||
|
||||
- `numargs`: depends on `optarg`, see above.
|
||||
|
||||
- `is_math_mode`: if set to True, then the environment represents a math
|
||||
mode environment (e.g., 'equation', 'align', 'gather', etc.), i.e., whose
|
||||
contents should be parsed in an appropriate math mode. Note that
|
||||
`is_math_mode` *must* be given as a keyword argument, in contrast to all
|
||||
other arguments which must be positional (non-keyword) arguments.
|
||||
"""
|
||||
is_math_mode = kwargs.pop("is_math_mode", False)
|
||||
kwargs2 = dict(kwargs)
|
||||
kwargs2.update(make_environment_spec=True, environment_is_math_mode=is_math_mode)
|
||||
return std_macro(envname, *args, **kwargs2)
|
||||
|
||||
|
||||
def std_specials(specials_chars):
|
||||
r"""
|
||||
Return a latex specials specification for the given character sequence. Syntax::
|
||||
|
||||
spec = std_specials(specials_chars)
|
||||
|
||||
where `specials_chars` is the sequence of characters that has a special
|
||||
LaTeX meaning, e.g. ``&`` or ``''``.
|
||||
|
||||
This helper function only allows to create specs for simple specials without
|
||||
any argument parsing. For more complicated specials, you can instantiate a
|
||||
:py:class:`SpecialsSpec` directly.
|
||||
"""
|
||||
return SpecialsSpec(specials_chars, args_parser=None)
|
||||
|
||||
|
||||
# ------------------------------------------------------------------------------
|
||||
|
||||
|
||||
class LatexContextDb(object):
|
||||
r"""
|
||||
Store a database of specifications of known macros, environments, and other
|
||||
latex specials. This might be, e.g., how many arguments a macro accepts, or
|
||||
how to determine the text representation of a macro or environment.
|
||||
|
||||
When used with :py:class:`pylatexenc.latexwalker.LatexWalker`, the
|
||||
specifications describe mostly rules for parsing arguments of macros and
|
||||
environments, and which sequences of characters to consider as "latex
|
||||
specials". Specifications for macros, environments, and other specials are
|
||||
stored as :py:class:`MacroSpec`, :py:class:`EnvironmentSpec`, and
|
||||
:py:class:`SpecialsSpec` instances, respectively.
|
||||
When used with :py:class:`pylatexenc.latex2text.LatexNodes2Text`, the
|
||||
specifications for macros, environments, and other specials are stored as
|
||||
:py:class:`pylatexenc.latex2text.MacroTextSpec` ,
|
||||
:py:class:`pylatexenc.latex2text.EnvironmentTextSpec`, and
|
||||
:py:class:`pylatexenc.latex2text.SpecialsTextSpec` instances, respectively.
|
||||
|
||||
In fact, the objects stored in this database may be of any type, except that
|
||||
macro specifications must have an attribute `macroname`, environment
|
||||
specifications must have an attribute `environmentname`, and specials
|
||||
specification must have an attribute `specials_chars`.
|
||||
|
||||
The `LatexContextDb` instance is meant to be (pseudo-)immutable. Once
|
||||
constructed and all the definitions added with
|
||||
:py:meth:`add_context_category()`, one should refrain from modifying it
|
||||
directly after providing it to, e.g., a
|
||||
:py:class:`~pylatexenc.latexwalker.LatexWalker` object. The reason is that
|
||||
the latex walker keeps track of what the latex context was when parsing
|
||||
nodes, and modifying the context will modify that stored information, too.
|
||||
Instead of being tempted to modify the object, create a new one with
|
||||
:py:meth:`filter_context()`.
|
||||
|
||||
See :py:func:`pylatexenc.latexwalker.get_default_latex_context_db()` for the
|
||||
default latex context for `latexwalker` with a default collection of known
|
||||
latex macros and environments.
|
||||
See :py:func:`pylatexenc.latex2text.get_default_latex_context_db()` for the
|
||||
default latex context for `latex2text` with a set of text replacements for a
|
||||
collection of known macros and environments.
|
||||
"""
|
||||
|
||||
def __init__(self, **kwargs):
|
||||
super(LatexContextDb, self).__init__(**kwargs)
|
||||
|
||||
self.category_list = []
|
||||
self.d = {}
|
||||
|
||||
self.unknown_macro_spec = None
|
||||
self.unknown_environment_spec = None
|
||||
self.unknown_specials_spec = None
|
||||
|
||||
def add_context_category(
|
||||
self,
|
||||
category,
|
||||
macros=[],
|
||||
environments=[],
|
||||
specials=[],
|
||||
prepend=False,
|
||||
insert_before=None,
|
||||
insert_after=None,
|
||||
):
|
||||
r"""
|
||||
Register a category of macro and environment specifications in the context
|
||||
database.
|
||||
|
||||
The category name `category` must not already exist in the database.
|
||||
|
||||
The argument `macros` is an iterable (e.g., a list) of macro
|
||||
specification objects. The argument `environments` is an iterable
|
||||
(e.g., a list) of environment spec objects. Similarly, the `specials`
|
||||
argument is an iterable of latex specials spec instances.
|
||||
|
||||
If you specify `prepend=True`, then macro and environment lookups will
|
||||
prioritize this category over other categories. Categories are normally
|
||||
searched for in the order they are registered to the database; if you
|
||||
specify `prepend=True`, then the new category is prepended to the
|
||||
existing list so that it is searched first.
|
||||
|
||||
If `insert_before` is not `None`, then it must be a string; the
|
||||
definitions are inserted in the category list immediately before the
|
||||
given category name, or at the beginning of the list if the given
|
||||
category doesn't exist. If `insert_after` is not `None`, then it must
|
||||
be a string; the definitions are inserted in the category list
|
||||
immediately after the given category name, or at the end of the list if
|
||||
the given category doesn't exist.
|
||||
|
||||
You may only specify one of `prepend=True`, `insert_before='...'` or
|
||||
`insert_after='...'`.
|
||||
"""
|
||||
|
||||
if category in self.category_list:
|
||||
raise ValueError(
|
||||
"Category {} is already registered in the context database".format(
|
||||
category
|
||||
)
|
||||
)
|
||||
|
||||
# ensure only one of these options is set
|
||||
if len([x for x in (prepend, insert_before, insert_after) if x]) > 1:
|
||||
raise TypeError(
|
||||
"add_context_category(): You may only specify one of "
|
||||
"prepend=True, insert_before=... or insert_after=..."
|
||||
)
|
||||
|
||||
if prepend:
|
||||
self.category_list.insert(0, category)
|
||||
elif insert_before:
|
||||
if insert_before in self.category_list:
|
||||
i = self.category_list.index(insert_before)
|
||||
else:
|
||||
i = 0
|
||||
self.category_list.insert(i, category)
|
||||
elif insert_after:
|
||||
if insert_after in self.category_list:
|
||||
i = (
|
||||
self.category_list.index(insert_after) + 1
|
||||
) # insert after found category
|
||||
else:
|
||||
i = len(self.category_list)
|
||||
self.category_list.insert(i, category)
|
||||
else:
|
||||
self.category_list.append(category)
|
||||
|
||||
self.d[category] = {
|
||||
"macros": dict((m.macroname, m) for m in macros),
|
||||
"environments": dict((e.environmentname, e) for e in environments),
|
||||
"specials": dict((s.specials_chars, s) for s in specials),
|
||||
}
|
||||
|
||||
def set_unknown_macro_spec(self, macrospec):
|
||||
r"""
|
||||
Set the macro spec to use when encountering a macro that is not in the
|
||||
database.
|
||||
"""
|
||||
self.unknown_macro_spec = macrospec
|
||||
|
||||
def set_unknown_environment_spec(self, environmentspec):
|
||||
r"""
|
||||
Set the environment spec to use when encountering a LaTeX environment that
|
||||
is not in the database.
|
||||
"""
|
||||
self.unknown_environment_spec = environmentspec
|
||||
|
||||
def set_unknown_specials_spec(self, specialsspec):
|
||||
r"""
|
||||
Set the latex specials spec to use when encountering a LaTeX environment
|
||||
that is not in the database.
|
||||
"""
|
||||
self.unknown_specials_spec = specialsspec
|
||||
|
||||
def categories(self):
|
||||
r"""
|
||||
Return a list of valid category names that are registered in the current
|
||||
database context.
|
||||
"""
|
||||
return list(self.category_list)
|
||||
|
||||
def get_macro_spec(self, macroname):
|
||||
r"""
|
||||
Look up a macro specification by macro name. The macro name is searched for
|
||||
in all categories one by one and the first match is returned.
|
||||
|
||||
Returns a macro spec instance that matches the given `macroname`. If
|
||||
the macro name was not found, we return the default macro specification
|
||||
set by :py:meth:`set_unknown_macro_spec()` or `None` if no such spec was
|
||||
set.
|
||||
"""
|
||||
for cat in self.category_list:
|
||||
# search categories in the given order
|
||||
if macroname in self.d[cat]["macros"]:
|
||||
return self.d[cat]["macros"][macroname]
|
||||
return self.unknown_macro_spec
|
||||
|
||||
def get_environment_spec(self, environmentname):
|
||||
r"""
|
||||
Look up an environment specification by environment name. The environment
|
||||
name is searched for in all categories one by one and the first match is
|
||||
returned.
|
||||
|
||||
Returns the environment spec. If the environment name was not found, we
|
||||
return the default environment specification set by
|
||||
:py:meth:`set_unknown_environment_spec()` or `None` if no such spec was
|
||||
set.
|
||||
"""
|
||||
for cat in self.category_list:
|
||||
# search categories in the given order
|
||||
if environmentname in self.d[cat]["environments"]:
|
||||
return self.d[cat]["environments"][environmentname]
|
||||
return self.unknown_environment_spec
|
||||
|
||||
def get_specials_spec(self, specials_chars):
|
||||
r"""
|
||||
Look up a "latex specials" specification by character sequence. The
|
||||
sequence name is searched for in all categories one by one and the first
|
||||
match is returned.
|
||||
|
||||
If you are parsing a chunk of LaTeX code, you should use
|
||||
:py:meth:`test_for_specials()` instead. Unlike
|
||||
:py:meth:`test_for_specials()`, :py:meth:`get_specials_spec()` returns
|
||||
the first match regardless of matched length. [Rationale: we only need
|
||||
to worry about matching the longest specials sequence when parsing LaTeX
|
||||
code. Calling `get_specials_spec()` means one has already parsed the
|
||||
sequence and one is looking up additional specs on it.]
|
||||
|
||||
Returns the specials spec. If the latex specials was not found, we
|
||||
return the default latex specials specification set by
|
||||
:py:meth:`set_unknown_specials_spec()` or `None` if no such spec was
|
||||
set.
|
||||
"""
|
||||
for cat in self.category_list:
|
||||
# search categories in the given order
|
||||
if specials_chars in self.d[cat]["specials"]:
|
||||
return self.d[cat]["specials"][specials_chars]
|
||||
return self.unknown_specials_spec
|
||||
|
||||
def test_for_specials(self, s, pos, parsing_state=None):
|
||||
r"""
|
||||
Test the given position in the string for any LaTeX specials. The lookup
|
||||
proceeds by searching for in all categories one by one and the first
|
||||
match is returned, except that the longest match accross all categories
|
||||
is returned. For instance, a match of '``' in a later category will
|
||||
take precedence over a match of '`' in a earlier-searched category.
|
||||
|
||||
Returns a specials spec instance, or `None` if no specials are detected
|
||||
at the position `pos`.
|
||||
"""
|
||||
best_match_len = 0
|
||||
best_match_s = None
|
||||
for cat in self.category_list:
|
||||
# search categories in the given order
|
||||
for specials_chars in self.d[cat]["specials"].keys():
|
||||
if len(specials_chars) > best_match_len and s.startswith(
|
||||
specials_chars, pos
|
||||
):
|
||||
best_match_s = self.d[cat]["specials"][specials_chars]
|
||||
best_match_len = len(specials_chars)
|
||||
|
||||
return best_match_s # this is None if no match
|
||||
|
||||
def iter_macro_specs(self, categories=None):
|
||||
r"""
|
||||
Yield the macro specs corresponding to all macros in the given categories.
|
||||
|
||||
If `categories` is `None`, then the known macro specs from all
|
||||
categories are provided in one long iterable sequence. Otherwise,
|
||||
`categories` should be a list or iterable of category names (e.g.,
|
||||
'latex-base') of macro specs to return.
|
||||
|
||||
The macro specs from the different categories specified are concatenated
|
||||
into one long sequence which is yielded spec by spec.
|
||||
"""
|
||||
|
||||
if categories is None:
|
||||
categories = self.category_list
|
||||
|
||||
for c in categories:
|
||||
if c not in self.category_list:
|
||||
raise ValueError(
|
||||
"Invalid latex macro spec db category: {!r} (Expected one of {!r})".format(
|
||||
c, self.category_list
|
||||
)
|
||||
)
|
||||
for spec in self.d[c]["macros"].values():
|
||||
yield spec
|
||||
|
||||
def iter_environment_specs(self, categories=None):
|
||||
r"""
|
||||
Yield the environment specs corresponding to all environments in the given
|
||||
categories.
|
||||
|
||||
If `categories` is `None`, then the known environment specs from all
|
||||
categories are provided in one long iterable sequence. Otherwise,
|
||||
`categories` should be a list or iterable of category names (e.g.,
|
||||
'latex-base') of environment specs to return.
|
||||
|
||||
The environment specs from the different categories specified are
|
||||
concatenated into one long sequence which is yielded spec by spec.
|
||||
"""
|
||||
|
||||
if categories is None:
|
||||
categories = self.category_list
|
||||
|
||||
for c in categories:
|
||||
if c not in self.category_list:
|
||||
raise ValueError(
|
||||
"Invalid latex environment spec db category: {!r} (Expected one of {!r})".format(
|
||||
c, self.category_list
|
||||
)
|
||||
)
|
||||
for spec in self.d[c]["environments"].values():
|
||||
yield spec
|
||||
|
||||
def iter_specials_specs(self, categories=None):
|
||||
r"""
|
||||
Yield the specials specs corresponding to all environments in the given
|
||||
categories.
|
||||
|
||||
If `categories` is `None`, then the known specials specs from all
|
||||
categories are provided in one long iterable sequence. Otherwise,
|
||||
`categories` should be a list or iterable of category names (e.g.,
|
||||
'latex-base') of specials specs to return.
|
||||
|
||||
The specials specs from the different categories specified are
|
||||
concatenated into one long sequence which is yielded spec by spec.
|
||||
"""
|
||||
|
||||
if categories is None:
|
||||
categories = self.category_list
|
||||
|
||||
for c in categories:
|
||||
if c not in self.category_list:
|
||||
raise ValueError(
|
||||
"Invalid latex environment spec db category: {!r} (Expected one of {!r})".format(
|
||||
c, self.category_list
|
||||
)
|
||||
)
|
||||
for spec in self.d[c]["specials"].values():
|
||||
yield spec
|
||||
|
||||
def filter_context(self, keep_categories=[], exclude_categories=[], keep_which=[]):
|
||||
r"""
|
||||
Return a new :py:class:`LatexContextDb` instance where we only keep
|
||||
certain categories of macro and environment specifications.
|
||||
|
||||
If `keep_categories` is set to a nonempty list, then the returned
|
||||
context will not contain any definitions that do not correspond to the
|
||||
specified categories.
|
||||
|
||||
If `exclude_categories` is set to a nonempty list, then the returned
|
||||
context will not contain any definitions that correspond to the
|
||||
specified categories.
|
||||
|
||||
It is explicitly fine to have category names in `keep_categories` and
|
||||
`exclude_categories` that don't exist in the present object
|
||||
(cf. :py:meth:`categories()`).
|
||||
|
||||
The argument `keep_which`, if non-empty, specifies which definitions to
|
||||
keep. It should be a subset of the list ['macros', 'environments',
|
||||
'specials'].
|
||||
|
||||
The returned context will make a copy of the dictionaries that store the
|
||||
macro and environment specifications, but the specification classes (and
|
||||
corresponding argument parsers) might correspond to the same instances.
|
||||
I.e., the returned context is not a full deep copy.
|
||||
"""
|
||||
|
||||
new_context = LatexContextDb()
|
||||
|
||||
new_context.unknown_macro_spec = self.unknown_macro_spec
|
||||
new_context.unknown_environment_spec = self.unknown_environment_spec
|
||||
new_context.unknown_specials_spec = self.unknown_specials_spec
|
||||
|
||||
keep_macros = not keep_which or "macros" in keep_which
|
||||
keep_environments = not keep_which or "environments" in keep_which
|
||||
keep_specials = not keep_which or "specials" in keep_which
|
||||
|
||||
for cat in self.category_list:
|
||||
if keep_categories and cat not in keep_categories:
|
||||
continue
|
||||
if exclude_categories and cat in exclude_categories:
|
||||
continue
|
||||
|
||||
# include this category
|
||||
new_context.add_context_category(
|
||||
cat,
|
||||
macros=self.d[cat]["macros"].values() if keep_macros else [],
|
||||
environments=self.d[cat]["environments"].values()
|
||||
if keep_environments
|
||||
else [],
|
||||
specials=self.d[cat]["specials"].values() if keep_specials else [],
|
||||
)
|
||||
|
||||
return new_context
|
||||
497
good_ai/src/sus/external/pylatexenc/macrospec/_argparsers.py
vendored
Normal file
497
good_ai/src/sus/external/pylatexenc/macrospec/_argparsers.py
vendored
Normal file
|
|
@ -0,0 +1,497 @@
|
|||
# -*- coding: utf-8 -*-
|
||||
#
|
||||
# The MIT License (MIT)
|
||||
#
|
||||
# Copyright (c) 2019 Philippe Faist
|
||||
#
|
||||
# Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
# of this software and associated documentation files (the "Software"), to deal
|
||||
# in the Software without restriction, including without limitation the rights
|
||||
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
# copies of the Software, and to permit persons to whom the Software is
|
||||
# furnished to do so, subject to the following conditions:
|
||||
#
|
||||
# The above copyright notice and this permission notice shall be included in
|
||||
# all copies or substantial portions of the Software.
|
||||
#
|
||||
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
|
||||
# THE SOFTWARE.
|
||||
#
|
||||
|
||||
|
||||
# Internal module. Internal API may move, disappear or otherwise change at any
|
||||
# time and without notice.
|
||||
|
||||
|
||||
import sys
|
||||
|
||||
if sys.version_info.major > 2:
|
||||
# Py3
|
||||
def unicode(s):
|
||||
return s
|
||||
|
||||
_basestring = str
|
||||
_str_from_unicode = lambda x: x
|
||||
_unicode_from_str = lambda x: x
|
||||
else:
|
||||
# Py2
|
||||
_basestring = basestring
|
||||
_str_from_unicode = lambda x: unicode(x).encode("utf-8")
|
||||
_unicode_from_str = lambda x: x.decode("utf-8")
|
||||
|
||||
|
||||
class ParsedMacroArgs(object):
|
||||
r"""
|
||||
Parsed representation of macro arguments.
|
||||
|
||||
The base class provides a simple way of storing the arguments as a list of
|
||||
parsed nodes.
|
||||
|
||||
This base class can be subclassed to store additional information and
|
||||
provide more advanced APIs to access macro arguments for certain categories
|
||||
of macros.
|
||||
|
||||
Arguments:
|
||||
|
||||
- `argnlist` is a list of latexwalker nodes that represent macro
|
||||
arguments. If the macro arguments are too complicated to store in a
|
||||
list, leave this as `None`. (But then code that uses the latexwalker
|
||||
must be aware of your own API to access the macro arguments.)
|
||||
|
||||
The difference between `argnlist` and the legacy `nodeargs` is that all
|
||||
options, regardless of optional or mandatory, are stored in the list
|
||||
`argnlist` with possible `None`\ 's at places where optional arguments
|
||||
were not provided. Previously, whether a first optional argument was
|
||||
included in `nodeoptarg` or `nodeargs` depended on how the macro
|
||||
specification was given.
|
||||
|
||||
- `argspec` is a string or a list that describes how each corresponding
|
||||
argument in `argnlist` represents. If the macro arguments are too
|
||||
complicated to store in a list, leave this as `None`. For standard
|
||||
macros and parsed arguments this is a string with characters '*', '[',
|
||||
'{' describing an optional star argument, an optional
|
||||
square-bracket-delimited argument, and a mandatory argument.
|
||||
|
||||
Attributes:
|
||||
|
||||
.. py:attribute:: argnlist
|
||||
|
||||
The list of latexwalker nodes that was provided to the constructor
|
||||
|
||||
.. py:attribute:: argspec
|
||||
|
||||
Argument type specification provided to the constructor
|
||||
|
||||
.. py:attribute:: legacy_nodeoptarg_nodeargs
|
||||
|
||||
A tuple `(nodeoptarg, nodeargs)` that should be exposed as properties in
|
||||
:py:class:`~pylatexenc.latexwalker.LatexMacroNode` to provide (as best as
|
||||
possible) compatibility with pylatexenc < 2.
|
||||
|
||||
This is either `(<1st optional arg node>, <list of remaining args>)` if
|
||||
the first argument is optional and all remaining args are mandatory; or
|
||||
it is `(None, <list of args>)` for any other argument structure.
|
||||
"""
|
||||
|
||||
def __init__(self, argnlist=[], argspec="", **kwargs):
|
||||
super(ParsedMacroArgs, self).__init__(**kwargs)
|
||||
|
||||
self.argnlist = argnlist
|
||||
self.argspec = argspec
|
||||
|
||||
# for LatexMacroNode to provide some kind of compatibility with pylatexenc < 2
|
||||
self.legacy_nodeoptarg_nodeargs = self._get_legacy_attribs(
|
||||
self.argspec, self.argnlist
|
||||
)
|
||||
|
||||
def _get_legacy_attribs(self, argspec, argnlist):
|
||||
nskip = 0
|
||||
while argspec.startswith("*"):
|
||||
argspec = argspec[1:]
|
||||
nskip += 1
|
||||
if argspec[0:1] == "[" and all(x == "{" for x in argspec[1:]):
|
||||
return (argnlist[nskip], argnlist[nskip + 1 :])
|
||||
else:
|
||||
return (None, argnlist)
|
||||
|
||||
def to_json_object(self):
|
||||
r"""
|
||||
Called when we export the node structure to JSON when running latexwalker in
|
||||
command-line.
|
||||
|
||||
Return a representation of the current parsed arguments in an object,
|
||||
typically a dictionary, that can easily be exported to JSON. The object
|
||||
may contain latex nodes and other parsed-argument objects, as we use a
|
||||
custom JSON encoder that understands these types.
|
||||
|
||||
Subclasses may
|
||||
"""
|
||||
|
||||
return dict(
|
||||
argspec=self.argspec,
|
||||
argnlist=self.argnlist,
|
||||
)
|
||||
|
||||
def __repr__(self):
|
||||
return "{}(argspec={!r}, argnlist={!r})".format(
|
||||
self.__class__.__name__, self.argspec, self.argnlist
|
||||
)
|
||||
|
||||
|
||||
class MacroStandardArgsParser(object):
|
||||
r"""
|
||||
Parses the arguments to a LaTeX macro.
|
||||
|
||||
This class parses a simple macro argument specification with a specified
|
||||
arrangement of optional and mandatory arguments.
|
||||
|
||||
This class also serves as base class for more advanced argument parsers
|
||||
(e.g. for a ``\verb+...+`` macro argument parser). In such cases,
|
||||
subclasses should attempt to provide the most suitable `argspec` (and
|
||||
`argnlist` for the corresponding :py:class:`ParsedMacroArgs`) for their use,
|
||||
if appropriate, or set them to `None`.
|
||||
|
||||
Arguments:
|
||||
|
||||
- `argspec`: must be a string in which each character corresponds to an
|
||||
argument. The character '{' represents a mandatory argument (single
|
||||
token or LaTeX group) and the character '[' denotes an optional argument
|
||||
delimited by braces. The character '\*' denotes a possible star char at
|
||||
that position in the argument list, a corresponding
|
||||
``latexwalker.LatexCharsNode('*')`` (or `None` if no star) will be
|
||||
inserted in the argument node list. For instance, the string '\*{[[{'
|
||||
would be suitable to specify the signature of the '\\newcommand' macro.
|
||||
|
||||
Currently, the argspec string may only contain the characters '\*', '{'
|
||||
and '['.
|
||||
|
||||
The `argspec` may also be `None`, which is the same as specifying an
|
||||
empty string.
|
||||
|
||||
- `optional_arg_no_space`: If set to `True`, then an optional argument
|
||||
cannot have any whitespace between the preceeding tokens and the '['
|
||||
character. Set this to `True` in cases such as for ``\\`` in AMS-math
|
||||
environments, where AMS apparently introduced a patch to prevent a
|
||||
bracket on a new line after ``\\`` from being interpreted as the
|
||||
optional argument to ``\\``.
|
||||
|
||||
- `args_math_mode`: Either `None`, or a list of the same length as
|
||||
`argspec`. If a list is given, then each item must be `True`, `False`,
|
||||
or `None`. The corresponding argument (cf. `argspec`) is then
|
||||
respectively parsed in math mode (`True`), in text mode (`False`), or
|
||||
with the mode unchanged (`None`). If `args_math_mode` is `None`, then
|
||||
all arguments are parsed in the same mode as the current mode.
|
||||
|
||||
- additional unrecognized keyword arguments are passed on to superclasses
|
||||
in case of multiple inheritance
|
||||
|
||||
Attributes:
|
||||
|
||||
.. py:attribute:: argspec
|
||||
|
||||
Argument type specification provided to the constructor.
|
||||
|
||||
.. py:attribute:: optional_arg_no_space
|
||||
|
||||
See the corresponding constructor argument.
|
||||
|
||||
.. py:attribute:: args_math_mode
|
||||
|
||||
See the corresponding constructor argument.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self, argspec=None, optional_arg_no_space=False, args_math_mode=None, **kwargs
|
||||
):
|
||||
super(MacroStandardArgsParser, self).__init__(**kwargs)
|
||||
self.argspec = argspec if argspec else ""
|
||||
self.optional_arg_no_space = optional_arg_no_space
|
||||
self.args_math_mode = args_math_mode
|
||||
# catch bugs, make sure that argspec is a string with only accepted chars
|
||||
if not isinstance(self.argspec, _basestring) or not all(
|
||||
x in "*[{" for x in self.argspec
|
||||
):
|
||||
raise TypeError(
|
||||
"argspec must be a string containing chars '*', '[', '{{' only: {!r}".format(
|
||||
self.argspec
|
||||
)
|
||||
)
|
||||
# non-documented attribute that makes us ignore any leading '*'. We use
|
||||
# this to emulate pylatexenc 1.x behavior when using the MacrosDef()
|
||||
# function explicitly
|
||||
self._like_pylatexenc1x_ignore_leading_star = False
|
||||
|
||||
def parse_args(self, w, pos, parsing_state=None):
|
||||
r"""
|
||||
Parse the arguments encountered at position `pos` in the
|
||||
:py:class:`~pylatexenc.latexwalker.LatexWalker` instance `w`.
|
||||
|
||||
You may override this function to provide custom parsing of complicated
|
||||
macro arguments (say, ``\verb+...+``). The method will be called by
|
||||
keyword arguments, so the argument names should not be altered.
|
||||
|
||||
The argument `w` is the :py:class:`pylatexenc.latexwalker.LatexWalker`
|
||||
object that is currently parsing LaTeX code. You can call methods like
|
||||
`w.get_goken()`, `w.get_latex_expression()` etc., to parse and read
|
||||
arguments.
|
||||
|
||||
The argument `parsing_state` is the current parsing state in the
|
||||
:py:class:`~pylatexenc.latexwalker.LatexWalker` (e.g., are we currently
|
||||
in math mode?). See doc for
|
||||
:py:class:`~pylatexenc.latexwalker.ParsingState`.
|
||||
|
||||
This function should return a tuple `(argd, pos, len)` where:
|
||||
|
||||
- `argd` is a :py:class:`ParsedMacroArgs` instance, or an instance of a
|
||||
subclass of :py:class:`ParsedMacroArgs`. The base `parse_args()`
|
||||
provided here returns a :py:class:`ParsedMacroArgs` instance.
|
||||
|
||||
- `pos` is the position of the first parsed content. It should be the
|
||||
same as the `pos` argument, except if there is whitespace at that
|
||||
position in which case the returned `pos` would have to be the
|
||||
position where the argument contents start.
|
||||
|
||||
- `len` is the length of the parsed expression. You will probably want
|
||||
to continue parsing stuff at the index `pos+len` in the string.
|
||||
"""
|
||||
|
||||
from .. import latexwalker
|
||||
|
||||
if parsing_state is None:
|
||||
parsing_state = w.make_parsing_state()
|
||||
|
||||
argnlist = []
|
||||
|
||||
if self.args_math_mode is not None and len(self.args_math_mode) != len(
|
||||
self.argspec
|
||||
):
|
||||
raise ValueError(
|
||||
"Invalid args_math_mode={!r} for argspec={!r}!".format(
|
||||
self.args_math_mode, self.argspec
|
||||
)
|
||||
)
|
||||
|
||||
def get_inner_parsing_state(j):
|
||||
if self.args_math_mode is None:
|
||||
return parsing_state
|
||||
amm = self.args_math_mode[j]
|
||||
if amm is None or amm == parsing_state.in_math_mode:
|
||||
return parsing_state
|
||||
if amm == True:
|
||||
return parsing_state.sub_context(in_math_mode=True)
|
||||
return parsing_state.sub_context(in_math_mode=False)
|
||||
|
||||
p = pos
|
||||
|
||||
if self._like_pylatexenc1x_ignore_leading_star:
|
||||
# ignore any leading '*' character
|
||||
tok = w.get_token(p)
|
||||
if tok.tok == "char" and tok.arg == "*":
|
||||
p = tok.pos + tok.len
|
||||
|
||||
for j, argt in enumerate(self.argspec):
|
||||
if argt == "{":
|
||||
(node, np, nl) = w.get_latex_expression(
|
||||
p, strict_braces=False, parsing_state=get_inner_parsing_state(j)
|
||||
)
|
||||
p = np + nl
|
||||
argnlist.append(node)
|
||||
|
||||
elif argt == "[":
|
||||
|
||||
if self.optional_arg_no_space and p < len(w.s) and w.s[p].isspace():
|
||||
# don't try to read optional arg, we don't allow space
|
||||
argnlist.append(None)
|
||||
continue
|
||||
|
||||
optarginfotuple = w.get_latex_maybe_optional_arg(
|
||||
p, parsing_state=get_inner_parsing_state(j)
|
||||
)
|
||||
if optarginfotuple is None:
|
||||
argnlist.append(None)
|
||||
continue
|
||||
(node, np, nl) = optarginfotuple
|
||||
p = np + nl
|
||||
argnlist.append(node)
|
||||
|
||||
elif argt == "*":
|
||||
# possible star.
|
||||
tok = w.get_token(p)
|
||||
if tok.tok == "char" and tok.arg.startswith("*"):
|
||||
# has star
|
||||
argnlist.append(
|
||||
w.make_node(
|
||||
latexwalker.LatexCharsNode,
|
||||
parsing_state=get_inner_parsing_state(j),
|
||||
chars="*",
|
||||
pos=tok.pos,
|
||||
len=1,
|
||||
)
|
||||
)
|
||||
p = tok.pos + 1
|
||||
else:
|
||||
argnlist.append(None)
|
||||
|
||||
else:
|
||||
raise LatexWalkerError(
|
||||
"Unknown macro argument kind for macro: {!r}".format(argt)
|
||||
)
|
||||
|
||||
parsed = ParsedMacroArgs(
|
||||
argspec=self.argspec,
|
||||
argnlist=argnlist,
|
||||
)
|
||||
|
||||
return (parsed, pos, p - pos)
|
||||
|
||||
def __repr__(self):
|
||||
return (
|
||||
"{}(argspec={!r}, optional_arg_no_space={!r}, args_math_mode={!r})".format(
|
||||
self.__class__.__name__,
|
||||
self.argspec,
|
||||
self.optional_arg_no_space,
|
||||
self.args_math_mode,
|
||||
)
|
||||
)
|
||||
|
||||
|
||||
class ParsedVerbatimArgs(ParsedMacroArgs):
|
||||
r"""
|
||||
Parsed representation of arguments to LaTeX verbatim constructs, such as
|
||||
``\begin{verbatim}...\end{verbatim}`` or ``\verb|...|``.
|
||||
|
||||
Instances of `ParsedVerbatimArgs` are returned by the args parser
|
||||
:py:class:`VerbatimArgsParser`.
|
||||
|
||||
Arguments:
|
||||
|
||||
- `verbatim_chars_node` --- a properly initialized
|
||||
:py:class:`pylatexenc.latexwalker.LatexCharsNode` that stores the
|
||||
verbatim text provided. It is used to initialize the base class
|
||||
:py:class:`ParsedMacroArgs` to expose a single mandatory argument with
|
||||
the given verbatim text. The `verbatim_text` attribute is initialized
|
||||
from this node, too.
|
||||
|
||||
- `verbatim_delimiters` --- a 2-item tuple of characters used to delimit
|
||||
the verbatim arguemnt (in case of a ``\verb+...+`` macro) or `None`.
|
||||
|
||||
Attributes:
|
||||
|
||||
.. py:attribute:: verbatim_text
|
||||
|
||||
The verbatim text that was provided
|
||||
|
||||
.. py:attribute:: verbatim_delimiters
|
||||
|
||||
If the verbatim text was specified as an argument to ``\verb$...$``, then
|
||||
this is set to a 2-item tuple that specifies the begin and end
|
||||
delimiters. Otherwise, the attribute is `None`.
|
||||
"""
|
||||
|
||||
def __init__(self, verbatim_chars_node, verbatim_delimiters=None, **kwargs):
|
||||
|
||||
# provide argspec/argnlist to the parent class so that any code that is
|
||||
# not "verbatim environment-aware" sees this simply as the argument to
|
||||
# an empty verbatim environment
|
||||
super(ParsedVerbatimArgs, self).__init__(
|
||||
argspec="{", argnlist=[verbatim_chars_node], **kwargs
|
||||
)
|
||||
|
||||
self.verbatim_text = verbatim_chars_node.chars
|
||||
self.verbatim_delimiters = verbatim_delimiters
|
||||
|
||||
def __repr__(self):
|
||||
return "{}(verbatim_text={!r}, verbatim_delimiters={!r})".format(
|
||||
self.__class__.__name__, self.verbatim_text, self.verbatim_delimiters
|
||||
)
|
||||
|
||||
|
||||
class VerbatimArgsParser(MacroStandardArgsParser):
|
||||
r"""
|
||||
Parses the arguments to various LaTeX "verbatim" constructs such as
|
||||
``\begin{verbatim}...\end{verbatim}`` environment or ``\verb+...+``.
|
||||
|
||||
This class also serves to illustrate how to write custom parsers for
|
||||
complicated macro arguments. See also :py:class:`MacroStandardArgsParser`.
|
||||
|
||||
Arguments:
|
||||
|
||||
.. py:attribute:: verbatim_arg_type
|
||||
|
||||
One of 'verbatim-environment' or 'verb-macro'.
|
||||
"""
|
||||
|
||||
def __init__(self, verbatim_arg_type, **kwargs):
|
||||
super(VerbatimArgsParser, self).__init__(argspec="{", **kwargs)
|
||||
self.verbatim_arg_type = verbatim_arg_type
|
||||
|
||||
def parse_args(self, w, pos, parsing_state=None):
|
||||
|
||||
from .. import latexwalker
|
||||
|
||||
if self.verbatim_arg_type == "verbatim-environment":
|
||||
# simply scan the string until we find '\end{verbatim}'. That's
|
||||
# exactly how LaTeX processes it.
|
||||
endverbpos = w.s.find(r"\end{verbatim}", pos)
|
||||
if endverbpos == -1:
|
||||
raise latexwalker.LatexWalkerParseError(
|
||||
s=w.s, pos=pos, msg=r"Cannot find matching \end{verbatim}"
|
||||
)
|
||||
# do NOT include the "\end{verbatim}", latexwalker will expect to
|
||||
# see it:
|
||||
len_ = endverbpos - pos
|
||||
|
||||
argd = ParsedVerbatimArgs(
|
||||
verbatim_chars_node=w.make_node(
|
||||
latexwalker.LatexCharsNode,
|
||||
parsing_state=parsing_state,
|
||||
chars=w.s[pos : pos + len_],
|
||||
pos=pos,
|
||||
len=len_,
|
||||
)
|
||||
)
|
||||
return (argd, pos, len_)
|
||||
|
||||
if self.verbatim_arg_type == "verb-macro":
|
||||
# read the next nonwhitespace char. This is the delimiter of the
|
||||
# argument
|
||||
while w.s[pos].isspace():
|
||||
pos += 1
|
||||
if pos >= len(w.s):
|
||||
raise latexwalker.LatexWalkerParseError(
|
||||
s=w.s, pos=pos, msg=r"Missing argument to \verb command"
|
||||
)
|
||||
verbdelimchar = w.s[pos]
|
||||
beginpos = pos + 1
|
||||
endpos = w.s.find(verbdelimchar, beginpos)
|
||||
if endpos == -1:
|
||||
raise latexwalker.LatexWalkerParseError(
|
||||
s=w.s,
|
||||
pos=pos,
|
||||
msg=r"End of stream reached while reading argument to \verb command",
|
||||
)
|
||||
|
||||
verbarg = w.s[beginpos:endpos]
|
||||
|
||||
argd = ParsedVerbatimArgs(
|
||||
verbatim_chars_node=w.make_node(
|
||||
latexwalker.LatexCharsNode,
|
||||
parsing_state=parsing_state,
|
||||
chars=verbarg,
|
||||
pos=beginpos,
|
||||
len=endpos - beginpos,
|
||||
),
|
||||
verbatim_delimiters=(verbdelimchar, verbdelimchar),
|
||||
)
|
||||
|
||||
return (argd, pos, endpos + 1 - pos) # include delimiters in pos/len
|
||||
|
||||
def __repr__(self):
|
||||
return "{}(verbatim_arg_type={!r})".format(
|
||||
self.__class__.__name__, self.verbatim_arg_type
|
||||
)
|
||||
58
good_ai/src/sus/external/pylatexenc/version.py
vendored
Normal file
58
good_ai/src/sus/external/pylatexenc/version.py
vendored
Normal file
|
|
@ -0,0 +1,58 @@
|
|||
#
|
||||
# The MIT License (MIT)
|
||||
#
|
||||
# Copyright (c) 2021 Philippe Faist
|
||||
#
|
||||
# Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
# of this software and associated documentation files (the "Software"), to deal
|
||||
# in the Software without restriction, including without limitation the rights
|
||||
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
# copies of the Software, and to permit persons to whom the Software is
|
||||
# furnished to do so, subject to the following conditions:
|
||||
#
|
||||
# The above copyright notice and this permission notice shall be included in
|
||||
# all copies or substantial portions of the Software.
|
||||
#
|
||||
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
|
||||
# THE SOFTWARE.
|
||||
#
|
||||
|
||||
|
||||
#
|
||||
# Self-note: Checklist
|
||||
#
|
||||
# 1) First some checks:
|
||||
#
|
||||
# - Set below in this file ' version_str = "X.Xb" ' (beta version for next
|
||||
# release) for the following tests.
|
||||
#
|
||||
# - tests pass: https://travis-ci.org/github/phfaist/pylatexenc
|
||||
#
|
||||
# - LGTM looks good: https://lgtm.com/projects/g/phfaist/pylatexenc/
|
||||
#
|
||||
# - python package creation works: (python setup.py sdist, pip install
|
||||
# dist/pylatexenc-xxx.tar.gz)
|
||||
#
|
||||
# 2) update change log (doc/changes.rst)
|
||||
#
|
||||
# 3) bump version number here
|
||||
#
|
||||
# 4) git commit any remaining changes
|
||||
#
|
||||
# 5) " git tag vX.X -am '<message>' "
|
||||
#
|
||||
# 6) " git push && git push --tags "
|
||||
#
|
||||
# 7) on github.com, fill in release details with a summary of changes etc.
|
||||
#
|
||||
# 8) create the source package for PyPI (" python3 setup.py sdist ")
|
||||
#
|
||||
# 8) upload package to PyPI (twine upload dist/pylatexenc-X.X.tar.gz -r realpypi)
|
||||
#
|
||||
|
||||
version_str = "2.10"
|
||||
18
good_ai/src/sus/get_sentences.py
Normal file
18
good_ai/src/sus/get_sentences.py
Normal file
|
|
@ -0,0 +1,18 @@
|
|||
from typing import List
|
||||
|
||||
from .data import sentence_ending_punctuations
|
||||
from .nlp import nlp
|
||||
|
||||
|
||||
def get_sentences(text: str, ignore_partial: bool = False) -> List[str]:
|
||||
doc = nlp(text)
|
||||
possible_sentences = [s.text for s in doc.sents]
|
||||
|
||||
if ignore_partial:
|
||||
possible_sentences = [
|
||||
s
|
||||
for s in possible_sentences
|
||||
if s[0].isupper() and s[-1] in sentence_ending_punctuations
|
||||
]
|
||||
|
||||
return possible_sentences
|
||||
3
good_ai/src/sus/language/__init__.py
Normal file
3
good_ai/src/sus/language/__init__.py
Normal file
|
|
@ -0,0 +1,3 @@
|
|||
from .english_name_of_language import english_name_of_language
|
||||
from .is_english import is_english
|
||||
from .predict_language import predict_language
|
||||
10
good_ai/src/sus/language/english_name_of_language.py
Normal file
10
good_ai/src/sus/language/english_name_of_language.py
Normal file
|
|
@ -0,0 +1,10 @@
|
|||
from typing import Optional
|
||||
|
||||
from langcodes import Language
|
||||
|
||||
|
||||
def english_name_of_language(language_code: Optional[str]) -> str:
|
||||
if not language_code:
|
||||
language_code = "und"
|
||||
|
||||
return Language.get(language_code).display_name()
|
||||
11
good_ai/src/sus/language/is_english.py
Normal file
11
good_ai/src/sus/language/is_english.py
Normal file
|
|
@ -0,0 +1,11 @@
|
|||
from typing import Optional
|
||||
|
||||
from langcodes import standardize_tag, tag_distance
|
||||
|
||||
|
||||
def is_english(language_code: Optional[str]) -> bool:
|
||||
if not language_code:
|
||||
language_code = "und"
|
||||
|
||||
language_code = standardize_tag(language_code)
|
||||
return tag_distance(language_code, "en") < 15
|
||||
16
good_ai/src/sus/language/predict_language.py
Normal file
16
good_ai/src/sus/language/predict_language.py
Normal file
|
|
@ -0,0 +1,16 @@
|
|||
from typing import Optional
|
||||
|
||||
from langcodes import Language
|
||||
from langdetect import LangDetectException, detect
|
||||
|
||||
|
||||
def predict_language(text: Optional[str]) -> str:
|
||||
if not text:
|
||||
return Language.make().to_tag()
|
||||
|
||||
try:
|
||||
language_code = detect(text)
|
||||
except LangDetectException:
|
||||
return Language.make().to_tag()
|
||||
|
||||
return Language.get(language_code).to_tag()
|
||||
21
good_ai/src/sus/lemmatize_text.py
Normal file
21
good_ai/src/sus/lemmatize_text.py
Normal file
|
|
@ -0,0 +1,21 @@
|
|||
from typing import List
|
||||
|
||||
from .lemmatize_token import lemmatize_token
|
||||
from .nlp import nlp
|
||||
|
||||
|
||||
def lemmatize_text(
|
||||
text: str,
|
||||
add_negation: bool = False,
|
||||
add_part_of_speech: bool = False,
|
||||
) -> List[str]:
|
||||
doc = nlp(text)
|
||||
|
||||
return [
|
||||
lemmatize_token(
|
||||
t,
|
||||
add_negation=add_negation,
|
||||
add_part_of_speech=add_part_of_speech,
|
||||
)
|
||||
for t in doc
|
||||
]
|
||||
20
good_ai/src/sus/lemmatize_token.py
Normal file
20
good_ai/src/sus/lemmatize_token.py
Normal file
|
|
@ -0,0 +1,20 @@
|
|||
from spacy.tokens import Token
|
||||
|
||||
from .data import american_spellings
|
||||
|
||||
|
||||
def lemmatize_token(
|
||||
token: Token,
|
||||
add_negation: bool = False,
|
||||
add_part_of_speech: bool = False,
|
||||
) -> str:
|
||||
lemma = token.lemma_.lower()
|
||||
|
||||
lemma = american_spellings.get(lemma, lemma)
|
||||
|
||||
if add_part_of_speech:
|
||||
lemma = f"{lemma}_{token.pos_}"
|
||||
if add_negation and token._.negex:
|
||||
lemma = f"NOT_{lemma}"
|
||||
|
||||
return lemma
|
||||
1
good_ai/src/sus/match_names/__init__.py
Normal file
1
good_ai/src/sus/match_names/__init__.py
Normal file
|
|
@ -0,0 +1 @@
|
|||
from .match_names import get_name_match_score, get_name_parts, match_names
|
||||
5
good_ai/src/sus/match_names/config.py
Normal file
5
good_ai/src/sus/match_names/config.py
Normal file
|
|
@ -0,0 +1,5 @@
|
|||
last_name_weight = 1.5
|
||||
first_name_weight = 0.9
|
||||
infixes_weight = 0.5
|
||||
initials_weight = 0.6
|
||||
match_threshold = 1.51
|
||||
162
good_ai/src/sus/match_names/match_names.py
Normal file
162
good_ai/src/sus/match_names/match_names.py
Normal file
|
|
@ -0,0 +1,162 @@
|
|||
import functools
|
||||
import re
|
||||
from typing import List, Optional, Tuple
|
||||
|
||||
from ..clean import clean
|
||||
from .config import (
|
||||
first_name_weight,
|
||||
infixes_weight,
|
||||
initials_weight,
|
||||
last_name_weight,
|
||||
match_threshold,
|
||||
)
|
||||
from .name_parts import NameParts
|
||||
|
||||
|
||||
def match_names(n1: Optional[str], n2: Optional[str]) -> bool:
|
||||
score = get_name_match_score(n1, n2)
|
||||
return score > match_threshold
|
||||
|
||||
|
||||
def get_name_match_score(n1: Optional[str], n2: Optional[str]) -> float:
|
||||
if not n1 or not n2:
|
||||
return 0
|
||||
|
||||
p1 = get_name_parts(n1)
|
||||
p2 = get_name_parts(n2)
|
||||
|
||||
for f1 in p1.first_names:
|
||||
for f2 in p2.first_names:
|
||||
if f1[0] == f2[0]:
|
||||
p1.initials = [i for i in p1.initials if i != f1[0]]
|
||||
p2.initials = [i for i in p2.initials if i != f1[0]]
|
||||
|
||||
last_name_score = last_name_weight * _match_percentage(p1.last_names, p2.last_names)
|
||||
first_name_score = first_name_weight * _match_percentage(
|
||||
p1.first_names, p2.first_names
|
||||
)
|
||||
initials_score = initials_weight * _match_percentage(p1.initials, p2.initials)
|
||||
infixes_score = min(0, infixes_weight * _match_percentage(p1.infixes, p2.infixes))
|
||||
|
||||
return last_name_score + first_name_score + initials_score + infixes_score
|
||||
|
||||
|
||||
def get_name_parts(name: str) -> NameParts:
|
||||
result = _get_name_parts(name)
|
||||
return result.copy()
|
||||
|
||||
|
||||
@functools.lru_cache(maxsize=None)
|
||||
def _get_name_parts(name: str) -> NameParts:
|
||||
name = _clean_name(name)
|
||||
|
||||
first_names, name = _get_parenthesized_first_names(name)
|
||||
initials, name = _get_initials(name)
|
||||
|
||||
last_names = []
|
||||
infixes, name = _get_infixes(name)
|
||||
if "," in name:
|
||||
[last_name, *rest] = name.split(",")
|
||||
rest_combined = " ".join(rest)
|
||||
last_names.extend(last_name.split(" "))
|
||||
first_names.extend(rest_combined.split(" "))
|
||||
else:
|
||||
parts = name.strip().split(" ")
|
||||
if parts:
|
||||
last_names.append(parts[-1])
|
||||
parts.pop(-1)
|
||||
first_names.extend(parts)
|
||||
else:
|
||||
last_names.append(name)
|
||||
|
||||
first_names = [f for f in first_names if f]
|
||||
for f in first_names:
|
||||
if all(f[0] != i for i in initials):
|
||||
initials.append(f[0])
|
||||
|
||||
return NameParts(
|
||||
first_names=first_names,
|
||||
initials=initials,
|
||||
infixes=infixes,
|
||||
last_names=[
|
||||
name
|
||||
for last_name in last_names
|
||||
for name in (last_name.split("-") if "-" in last_name else [last_name])
|
||||
if name
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
def _clean_name(name: str) -> str:
|
||||
name = clean(name, convert_to_ascii=True)
|
||||
|
||||
name = re.sub(
|
||||
r"""
|
||||
(MD|PhD|Ir|dr|Dr|DR|MSc|MA|BSc|BA|Prof)
|
||||
[,.]?
|
||||
[ ]*
|
||||
""",
|
||||
"",
|
||||
name,
|
||||
flags=re.VERBOSE,
|
||||
)
|
||||
|
||||
subs_made = 1
|
||||
while subs_made:
|
||||
name, subs_made = re.subn(r"([A-Z]\.)\s+([A-Z])\b", r"\g<1>\g<2>", name)
|
||||
|
||||
name = name.replace(r"\s+-\s+", "-")
|
||||
name = " ".join(p for p in name.split(" ") if p)
|
||||
name = re.sub(r"^([^,.]+) ([A-Z])$", r"\g<1>, \g<2>.", name)
|
||||
return name
|
||||
|
||||
|
||||
def _get_parenthesized_first_names(name: str) -> Tuple[List[str], str]:
|
||||
groups = re.search(r"\(([a-zA-Z ]+)\)", name)
|
||||
if groups:
|
||||
return (
|
||||
groups.group(1).split(" "),
|
||||
_remove_between_indices(name, groups.start(), groups.end()),
|
||||
)
|
||||
|
||||
return [], name
|
||||
|
||||
|
||||
def _get_initials(n: str) -> Tuple[List[str], str]:
|
||||
initials = []
|
||||
|
||||
groups = re.search(r"\b(?P<abr1>([A-Z]\.)*)(?P<abr2>[A-Z])(\.|$)", n)
|
||||
if groups:
|
||||
first_name_abbreviations = [
|
||||
*groups.group("abr1").split("."),
|
||||
groups.group("abr2"),
|
||||
]
|
||||
first_name_abbreviations = [f for f in first_name_abbreviations if f != ""]
|
||||
initials.extend(first_name_abbreviations)
|
||||
n = _remove_between_indices(n, groups.start(), groups.end())
|
||||
|
||||
return initials, n
|
||||
|
||||
|
||||
def _get_infixes(n: str) -> Tuple[List[str], str]:
|
||||
infixes = ["de", "van", "der", "den", "te", "ter", "ten"]
|
||||
|
||||
parts = n.split(" ")
|
||||
return [p for p in parts if p.lower() in infixes], " ".join(
|
||||
p for p in parts if p.lower() not in infixes
|
||||
)
|
||||
|
||||
|
||||
def _remove_between_indices(s: str, start: int, end: int) -> str:
|
||||
return s[:start] + s[end:]
|
||||
|
||||
|
||||
def _match_percentage(l1: List[str], l2: List[str]) -> float:
|
||||
if not l1 or not l2:
|
||||
return 0
|
||||
|
||||
s1 = set(l1)
|
||||
s2 = set(l2)
|
||||
common_q = 2 * len(s1 & s2) / (len(s1) + len(s2))
|
||||
different_q = min(len(s1 - s2) / len(s1), len(s2 - s1) / len(s2))
|
||||
return common_q - different_q
|
||||
10
good_ai/src/sus/match_names/name_parts.py
Normal file
10
good_ai/src/sus/match_names/name_parts.py
Normal file
|
|
@ -0,0 +1,10 @@
|
|||
from typing import List
|
||||
|
||||
from pydantic import BaseModel
|
||||
|
||||
|
||||
class NameParts(BaseModel):
|
||||
first_names: List[str]
|
||||
initials: List[str]
|
||||
infixes: List[str]
|
||||
last_names: List[str]
|
||||
21
good_ai/src/sus/nlp.py
Normal file
21
good_ai/src/sus/nlp.py
Normal file
|
|
@ -0,0 +1,21 @@
|
|||
try:
|
||||
import en_core_web_lg
|
||||
except ImportError:
|
||||
import subprocess
|
||||
|
||||
print("Spacy model en_core_web_lg not found locally, downloading...")
|
||||
|
||||
subprocess.call(
|
||||
[
|
||||
"pip",
|
||||
"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",
|
||||
]
|
||||
)
|
||||
import en_core_web_lg
|
||||
|
||||
from .external.negspacy import negation # noqa: F401 it's important to import this
|
||||
|
||||
nlp = en_core_web_lg.load()
|
||||
|
||||
nlp.add_pipe("negex")
|
||||
34
good_ai/src/sus/parallel_map.py
Normal file
34
good_ai/src/sus/parallel_map.py
Normal file
|
|
@ -0,0 +1,34 @@
|
|||
from math import ceil
|
||||
from typing import Any, Callable, Iterable, List, Optional
|
||||
|
||||
import multiprocess as mp
|
||||
import psutil
|
||||
from tqdm.auto import tqdm
|
||||
|
||||
|
||||
def parallel_map(
|
||||
function: Callable[[Any], Any],
|
||||
values: Iterable[Any],
|
||||
chunk_size: Optional[int] = None,
|
||||
concurrency: int = psutil.cpu_count(),
|
||||
disable_progress: bool = False,
|
||||
) -> List[Any]:
|
||||
assert concurrency > 0
|
||||
assert chunk_size is None or chunk_size > 0
|
||||
|
||||
values = list(values)
|
||||
|
||||
if not chunk_size:
|
||||
chunk_size = max(1, ceil(len(values) / concurrency / 10))
|
||||
|
||||
if concurrency == 1:
|
||||
iterable = values if disable_progress else tqdm(values)
|
||||
return [function(v) for v in iterable]
|
||||
|
||||
with mp.Pool(processes=concurrency) as pool:
|
||||
if disable_progress:
|
||||
return pool.map(function, values, chunksize=chunk_size)
|
||||
|
||||
return list(
|
||||
tqdm(pool.imap(function, values, chunksize=chunk_size), total=len(values))
|
||||
)
|
||||
2
good_ai/src/sus/publication_tei/__init__.py
Normal file
2
good_ai/src/sus/publication_tei/__init__.py
Normal file
|
|
@ -0,0 +1,2 @@
|
|||
from .models import *
|
||||
from .publication_tei import PublicationTEI
|
||||
5
good_ai/src/sus/publication_tei/models/__init__.py
Normal file
5
good_ai/src/sus/publication_tei/models/__init__.py
Normal file
|
|
@ -0,0 +1,5 @@
|
|||
from .affiliation import Affiliation
|
||||
from .author import Author
|
||||
from .element import Element, Meta, MetaType, Paragraph, Title
|
||||
from .publication_metadata import PublicationMetadata
|
||||
from .text import Text
|
||||
11
good_ai/src/sus/publication_tei/models/affiliation.py
Normal file
11
good_ai/src/sus/publication_tei/models/affiliation.py
Normal file
|
|
@ -0,0 +1,11 @@
|
|||
from typing import Optional, Tuple
|
||||
|
||||
from pydantic import BaseModel
|
||||
|
||||
|
||||
class Affiliation(BaseModel):
|
||||
institutions: Tuple[str, ...]
|
||||
departments: Tuple[str, ...]
|
||||
laboratories: Tuple[str, ...]
|
||||
country: Optional[str]
|
||||
settlement: Optional[str]
|
||||
14
good_ai/src/sus/publication_tei/models/author.py
Normal file
14
good_ai/src/sus/publication_tei/models/author.py
Normal file
|
|
@ -0,0 +1,14 @@
|
|||
from typing import List, Optional
|
||||
|
||||
from pydantic import BaseModel
|
||||
|
||||
from .affiliation import Affiliation
|
||||
|
||||
|
||||
class Author(BaseModel):
|
||||
name: Optional[str]
|
||||
orcid: Optional[str]
|
||||
email: Optional[str]
|
||||
corresponding: bool
|
||||
affiliations: List[Affiliation]
|
||||
coordinates: Optional[str]
|
||||
30
good_ai/src/sus/publication_tei/models/element.py
Normal file
30
good_ai/src/sus/publication_tei/models/element.py
Normal file
|
|
@ -0,0 +1,30 @@
|
|||
from typing import List, Literal, Union
|
||||
|
||||
from pydantic import BaseModel
|
||||
|
||||
from .text import Text
|
||||
|
||||
|
||||
class Title(BaseModel):
|
||||
text: Text
|
||||
|
||||
|
||||
class Paragraph(BaseModel):
|
||||
sentences: List[Text]
|
||||
|
||||
|
||||
MetaType = Literal[
|
||||
"abstract_start",
|
||||
"abstract_end",
|
||||
"acknowledgements_start",
|
||||
"acknowledgements_end",
|
||||
"annex_start",
|
||||
"annex_end",
|
||||
]
|
||||
|
||||
|
||||
class Meta(BaseModel):
|
||||
meta_type: MetaType
|
||||
|
||||
|
||||
Element = Union[Title, Paragraph, Meta]
|
||||
|
|
@ -0,0 +1,14 @@
|
|||
from typing import List, Optional
|
||||
|
||||
from pydantic import BaseModel
|
||||
|
||||
|
||||
class PublicationMetadata(BaseModel):
|
||||
language: Optional[str]
|
||||
title: Optional[str]
|
||||
publisher: Optional[str]
|
||||
doi: Optional[str]
|
||||
md5: Optional[str]
|
||||
publication_date: Optional[str]
|
||||
keywords: List[str]
|
||||
reference_count: int
|
||||
7
good_ai/src/sus/publication_tei/models/text.py
Normal file
7
good_ai/src/sus/publication_tei/models/text.py
Normal file
|
|
@ -0,0 +1,7 @@
|
|||
from pydantic import BaseModel
|
||||
|
||||
|
||||
class Text(BaseModel):
|
||||
content: str
|
||||
document_order: int
|
||||
coordinates: str
|
||||
176
good_ai/src/sus/publication_tei/publication_tei.py
Normal file
176
good_ai/src/sus/publication_tei/publication_tei.py
Normal file
|
|
@ -0,0 +1,176 @@
|
|||
from functools import cached_property
|
||||
from typing import Any, List, Optional, Union
|
||||
|
||||
from bs4 import BeautifulSoup
|
||||
from bs4.element import NavigableString, Tag
|
||||
from sus.publication_tei.models.element import Paragraph
|
||||
|
||||
from ..clean import clean
|
||||
from .models import Affiliation, Author, Element, Meta, PublicationMetadata, Text, Title
|
||||
|
||||
|
||||
class PublicationTEI:
|
||||
def __init__(self, tei: str):
|
||||
self._document_order_counter = 0
|
||||
|
||||
if tei:
|
||||
cleaned_xml = clean(tei, ignore_xml=True)
|
||||
self.soup = BeautifulSoup(cleaned_xml, "xml")
|
||||
else:
|
||||
self.soup = BeautifulSoup()
|
||||
|
||||
@cached_property
|
||||
def publication_metadata(self) -> PublicationMetadata:
|
||||
publication_date = (
|
||||
self.soup.publicationStmt.date.get("when")
|
||||
if self.soup.publicationStmt and self.soup.publicationStmt.date
|
||||
else None
|
||||
)
|
||||
|
||||
keywords = (
|
||||
[self._element_to_text(k) for k in self.soup.keywords.find_all("term")]
|
||||
if self.soup.keywords
|
||||
else []
|
||||
)
|
||||
|
||||
return PublicationMetadata(
|
||||
language=self.soup.teiHeader.get("xml:lang")
|
||||
if self.soup.teiHeader
|
||||
else None,
|
||||
title=self._element_to_text(self.soup.title),
|
||||
publisher=self._element_to_text(self.soup.publisher),
|
||||
doi=self._element_to_text(self.soup.find("idno", type="DOI")),
|
||||
md5=self._element_to_text(self.soup.find("idno", type="MD5")),
|
||||
publication_date=publication_date,
|
||||
keywords=keywords,
|
||||
reference_count=self.get_reference_count(),
|
||||
)
|
||||
|
||||
def get_reference_count(self) -> int:
|
||||
references = self.soup.find("div", {"type": "references"})
|
||||
|
||||
if not references:
|
||||
return 0
|
||||
|
||||
return len(references.findAll("biblStruct"))
|
||||
|
||||
@cached_property
|
||||
def authors(self) -> List[Author]:
|
||||
if not self.soup.analytic:
|
||||
return []
|
||||
|
||||
return [
|
||||
self._parse_author(author)
|
||||
for author in self.soup.analytic.find_all("author")
|
||||
]
|
||||
|
||||
@cached_property
|
||||
def content(self) -> List[Element]:
|
||||
self._document_order_counter = 0
|
||||
return self._get_elements(self.soup)
|
||||
|
||||
@cached_property
|
||||
def sentences(self) -> List[Text]:
|
||||
return [
|
||||
sentence
|
||||
for element in self.content
|
||||
if isinstance(element, Paragraph)
|
||||
for sentence in element.sentences
|
||||
]
|
||||
|
||||
def _parse_author(self, raw: Tag) -> Author:
|
||||
return Author(
|
||||
name=(
|
||||
clean(" ".join(name.get_text() for name in raw.persName))
|
||||
if raw.persName
|
||||
else None
|
||||
),
|
||||
orcid=self._element_to_text(raw.find(attrs={"type": "ORCID"})),
|
||||
email=self._element_to_text(raw.email),
|
||||
corresponding=raw.get("role") == "corresp",
|
||||
affiliations=[
|
||||
self._parse_affiliation(aff) for aff in raw.find_all("affiliation")
|
||||
],
|
||||
coordinates=raw.persName.get("coords") if raw.persName else None,
|
||||
)
|
||||
|
||||
def _parse_affiliation(self, raw: Tag) -> Affiliation:
|
||||
return Affiliation(
|
||||
institutions=[
|
||||
self._element_to_text(v)
|
||||
for v in raw.find_all("orgName", attrs={"type": "institution"})
|
||||
],
|
||||
departments=[
|
||||
self._element_to_text(v)
|
||||
for v in raw.find_all("orgName", attrs={"type": "department"})
|
||||
],
|
||||
laboratories=[
|
||||
self._element_to_text(v)
|
||||
for v in raw.find_all("orgName", attrs={"type": "laboratory"})
|
||||
],
|
||||
country=self._element_to_text(raw.address.country)
|
||||
if raw.address and raw.address.country
|
||||
else None,
|
||||
settlement=self._element_to_text(raw.address.settlement)
|
||||
if raw.address and raw.address.settlement
|
||||
else None,
|
||||
)
|
||||
|
||||
def _get_elements(self, raw: Tag) -> List[Element]:
|
||||
results: List[Element] = []
|
||||
|
||||
for r in raw.find_all(["abstract", "div", "head", "p"]):
|
||||
if r.name == "abstract":
|
||||
results.append(Meta(meta_type="abstract_start"))
|
||||
results.extend(self._get_primitives(r))
|
||||
results.append(Meta(meta_type="abstract_end"))
|
||||
elif r.name == "div" and r.get("type") == "acknowledgement":
|
||||
results.append(Meta(meta_type="acknowledgements_start"))
|
||||
results.extend(self._get_primitives(r))
|
||||
results.append(Meta(meta_type="acknowledgements_end"))
|
||||
elif r.name == "div" and r.get("type") == "annex":
|
||||
results.append(Meta(meta_type="annex_start"))
|
||||
results.extend(self._get_primitives(r))
|
||||
results.append(Meta(meta_type="annex_end"))
|
||||
elif not r.find_parents(["abstract", "div"]):
|
||||
results.extend(self._get_primitives(r))
|
||||
|
||||
return results
|
||||
|
||||
def _get_primitives(self, raw: Tag) -> List[Element]:
|
||||
results: List[Element] = []
|
||||
|
||||
for r in raw.find_all(["head", "p"]):
|
||||
if r.name == "head" and r.get("coords") and r.get_text():
|
||||
results.append(Title(text=self._parse_text(r)))
|
||||
elif r.name == "p" and r.find_all("s"):
|
||||
results.append(
|
||||
Paragraph(
|
||||
sentences=[
|
||||
self._parse_text(sentence)
|
||||
for sentence in r.find_all("s")
|
||||
if sentence.get_text()
|
||||
]
|
||||
)
|
||||
)
|
||||
|
||||
return results
|
||||
|
||||
def _element_to_text(
|
||||
self, element: Optional[NavigableString], default: Any = None
|
||||
) -> Union[str, Any]:
|
||||
return (
|
||||
clean(element.get_text(separator=" ", strip=True)) if element else default
|
||||
)
|
||||
|
||||
def _parse_text(self, raw: Tag) -> Text:
|
||||
return Text(
|
||||
content=clean(raw.get_text()),
|
||||
document_order=self._generate_document_order_id(),
|
||||
coordinates=raw.get("coords"),
|
||||
)
|
||||
|
||||
def _generate_document_order_id(self) -> int:
|
||||
value = self._document_order_counter
|
||||
self._document_order_counter += 1
|
||||
return value
|
||||
16
good_ai/src/sus/unique.py
Normal file
16
good_ai/src/sus/unique.py
Normal file
|
|
@ -0,0 +1,16 @@
|
|||
from typing import Any, Callable, Iterable, List
|
||||
|
||||
|
||||
def unique(
|
||||
values: Iterable[Any], *, key: Callable[[Any], Any] = lambda v: v
|
||||
) -> List[Any]:
|
||||
"""Only keep first occurrences and maintian order"""
|
||||
|
||||
key_values = {}
|
||||
for v in values:
|
||||
k = key(v)
|
||||
if k not in key_values:
|
||||
# dicts maintin insertion order: https://mail.python.org/pipermail/python-dev/2017-December/151283.html
|
||||
key_values[k] = v
|
||||
|
||||
return list(key_values.values())
|
||||
Loading…
Add table
Add a link
Reference in a new issue