


"""simple docstring"""







from typing import List

import jiwer
import jiwer.transforms as tr
from packaging import version

import datasets
from datasets.config import PY_VERSION


if PY_VERSION < version.parse('''3.8'''):
     import importlib_metadata
else:
     import importlib.metadata as importlib_metadata


lowerCAmelCase__				    =       ''''''


if version.parse(importlib_metadata.version('''jiwer''')) < version.parse('''2.3.0'''):


     class 				SCREAMING_SNAKE_CASE__    (		tr.AbstractTransform    ):
            """simple docstring"""


            def __init__(						self		,					snake_case__ = " "						):






              """simple docstring"""





              lowerCAmelCase					:					List[Any]								=							sentence_delimiter

            def 	lowercase__							(						self		,					snake_case__						):






              """simple docstring"""





              return list(snake_case__						)







            def 	lowercase__							(						self		,					snake_case__						):






              """simple docstring"""





              lowerCAmelCase					:					Any								=							[]
              for sent_idx, sentence in enumerate(snake_case__						):
                chars.extend(self.process_string(snake_case__						)						)
                if self.sentence_delimiter is not None and self.sentence_delimiter != "" and sent_idx < len(snake_case__						) - 1:
                  chars.append(self.sentence_delimiter						)
              return chars

     lowerCAmelCase__				    =       tr.Compose(
         [tr.RemoveMultipleSpaces(), tr.Strip(), SentencesToListOfCharacters(SENTENCE_DELIMITER)]
     )
else:
     lowerCAmelCase__				    =       tr.Compose(
         [
             tr.RemoveMultipleSpaces(),
             tr.Strip(),
             tr.ReduceToSingleSentence(SENTENCE_DELIMITER),
             tr.ReduceToListOfListOfChars(),
         ]
     )


lowerCAmelCase__				    =       '''\
@inproceedings{inproceedings,
    author = {Morris, Andrew and Maier, Viktoria and Green, Phil},
    year = {2004},
    month = {01},
    pages = {},
    title = {From WER and RIL to MER and WIL: improved evaluation measures for connected speech recognition.}
}
'''

lowerCAmelCase__				    =       '''\
Character error rate (CER) is a common metric of the performance of an automatic speech recognition system.

CER is similar to Word Error Rate (WER), but operates on character instead of word. Please refer to docs of WER for further information.

Character error rate can be computed as:

CER = (S + D + I) / N = (S + D + I) / (S + D + C)

where

S is the number of substitutions,
D is the number of deletions,
I is the number of insertions,
C is the number of correct characters,
N is the number of characters in the reference (N=S+D+C).

CER\'s output is not always a number between 0 and 1, in particular when there is a high number of insertions. This value is often associated to the percentage of characters that were incorrectly predicted. The lower the value, the better the
performance of the ASR system with a CER of 0 being a perfect score.
'''

lowerCAmelCase__				    =       '''
Computes CER score of transcribed segments against references.
Args:
    references: list of references for each speech input.
    predictions: list of transcribtions to score.
    concatenate_texts: Whether or not to concatenate sentences before evaluation, set to True for more accurate result.
Returns:
    (float): the character error rate

Examples:

    >>> predictions = ["this is the prediction", "there is an other sample"]
    >>> references = ["this is the reference", "there is another one"]
    >>> cer = datasets.load_metric("cer")
    >>> cer_score = cer.compute(predictions=predictions, references=references)
    >>> print(cer_score)
    0.34146341463414637
'''


@datasets.utils.file_utils.add_start_docstrings(_DESCRIPTION       ,   _KWARGS_DESCRIPTION    )
class 				SCREAMING_SNAKE_CASE__    (		datasets.Metric    ):
       """simple docstring"""


       def 	lowercase__							(						self						):






         """simple docstring"""





         return datasets.MetricInfo(
             description=_DESCRIPTION		,					citation=_CITATION		,					inputs_description=_KWARGS_DESCRIPTION		,					features=datasets.Features(
                 {
                     "predictions": datasets.Value("string"		,					id="sequence"						),
                     "references": datasets.Value("string"		,					id="sequence"						),
                 }						)		,					codebase_urls=["https://github.com/jitsi/jiwer/"]		,					reference_urls=[
                 "https://en.wikipedia.org/wiki/Word_error_rate",
                 "https://sites.google.com/site/textdigitisation/qualitymeasures/computingerrorrates",
             ]		,					)







       def 	lowercase__							(						self		,					snake_case__		,					snake_case__		,					snake_case__=False						):






         """simple docstring"""





         if concatenate_texts:
           return jiwer.compute_measures(
               snake_case__		,					snake_case__		,					truth_transform=snake_case__		,					hypothesis_transform=snake_case__		,					)["wer"]

         lowerCAmelCase					:					List[Any]								=							0
         lowerCAmelCase					:					Optional[Any]								=							0
         for prediction, reference in zip(snake_case__		,					snake_case__						):
           lowerCAmelCase					:					Optional[int]								=							jiwer.compute_measures(
               snake_case__		,					snake_case__		,					truth_transform=snake_case__		,					hypothesis_transform=snake_case__		,					)
           incorrect += measures["substitutions"] + measures["deletions"] + measures["insertions"]
           total += measures["substitutions"] + measures["deletions"] + measures["hits"]

         return incorrect / total









"""simple docstring"""







import argparse
import glob
import importlib.util
import os
import re

import black
from doc_builder.style_doc import style_docstrings_in_code


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_copies.py
lowerCAmelCase__				    =       '''src/diffusers'''
lowerCAmelCase__				    =       '''.'''


# This is to make sure the diffusers module imported is the one in the repo.
lowerCAmelCase__				    =       importlib.util.spec_from_file_location(
    '''diffusers''',
    os.path.join(DIFFUSERS_PATH, '''__init__.py'''),
    submodule_search_locations=[DIFFUSERS_PATH],
)
lowerCAmelCase__				    =       spec.loader.load_module()
def  a__      (    SCREAMING_SNAKE_CASE   :   int    ,				SCREAMING_SNAKE_CASE   :   int    ):


  '''simple docstring'''







  return line.startswith(SCREAMING_SNAKE_CASE    ) or len(SCREAMING_SNAKE_CASE    ) <= 1 or re.search(r"^\s*\)(\s*->.*:|:)\s*$"    ,				SCREAMING_SNAKE_CASE    ) is not None
def  a__      (    SCREAMING_SNAKE_CASE   :   Tuple    ):


  '''simple docstring'''







  lowerCAmelCase					:					Dict								=							object_name.split("."    )
  lowerCAmelCase					:					Optional[int]								=							0

  # First let's find the module where our object lives.
  lowerCAmelCase					:					Any								=							parts[i]
  while i < len(SCREAMING_SNAKE_CASE    ) and not os.path.isfile(os.path.join(SCREAMING_SNAKE_CASE    ,				f"""{module}.py"""    )    ):
    i += 1
    if i < len(SCREAMING_SNAKE_CASE    ):
      lowerCAmelCase					:					Optional[Any]								=							os.path.join(SCREAMING_SNAKE_CASE    ,				parts[i]    )
  if i >= len(SCREAMING_SNAKE_CASE    ):
    raise ValueError(f"""`object_name` should begin with the name of a module of diffusers but got {object_name}."""    )

  with open(os.path.join(SCREAMING_SNAKE_CASE    ,				f"""{module}.py"""    )    ,				"r"    ,				encoding="utf-8"    ,				newline="\n"    ) as f:
    lowerCAmelCase					:					List[Any]								=							f.readlines()

  # Now let's find the class / func in the code!
  lowerCAmelCase					:					List[str]								=							""
  lowerCAmelCase					:					int								=							0
  for name in parts[i + 1 :]:
    while (
        line_index < len(SCREAMING_SNAKE_CASE    ) and re.search(rf"""^{indent}(class|def)\s+{name}(\(|\:)"""    ,				lines[line_index]    ) is None
    ):
      line_index += 1
    indent += "    "
    line_index += 1

  if line_index >= len(SCREAMING_SNAKE_CASE    ):
    raise ValueError(f""" {object_name} does not match any function or class in {module}."""    )

  # We found the beginning of the class / func, now let's find the end (when the indent diminishes).
  lowerCAmelCase					:					List[str]								=							line_index
  while line_index < len(SCREAMING_SNAKE_CASE    ) and _should_continue(lines[line_index]    ,				SCREAMING_SNAKE_CASE    ):
    line_index += 1
  # Clean up empty lines at the end (if any).
  while len(lines[line_index - 1]    ) <= 1:
    line_index -= 1

  lowerCAmelCase					:					List[Any]								=							lines[start_index:line_index]
  return "".join(SCREAMING_SNAKE_CASE    )


lowerCAmelCase__				    =       re.compile(r'''^(\s*)#\s*Copied from\s+diffusers\.(\S+\.\S+)\s*($|\S.*$)''')
lowerCAmelCase__				    =       re.compile(r'''^\s*(\S+)->(\S+)(\s+.*|$)''')
lowerCAmelCase__				    =       re.compile(r'''<FILL\s+[^>]*>''')
def  a__      (    SCREAMING_SNAKE_CASE   :   str    ):


  '''simple docstring'''







  lowerCAmelCase					:					int								=							code.split("\n"    )
  lowerCAmelCase					:					List[str]								=							0
  while idx < len(SCREAMING_SNAKE_CASE    ) and len(lines[idx]    ) == 0:
    idx += 1
  if idx < len(SCREAMING_SNAKE_CASE    ):
    return re.search(r"^(\s*)\S"    ,				lines[idx]    ).groups()[0]
  return ""
def  a__      (    SCREAMING_SNAKE_CASE   :   Optional[int]    ):


  '''simple docstring'''







  lowerCAmelCase					:					List[Any]								=							len(get_indent(SCREAMING_SNAKE_CASE    )    ) > 0
  if has_indent:
    lowerCAmelCase					:					Tuple								=							f"""class Bla:\n{code}"""
  lowerCAmelCase					:					Optional[Any]								=							black.Mode(target_versions={black.TargetVersion.PYaa}    ,				line_length=1_1_9    ,				preview=SCREAMING_SNAKE_CASE    )
  lowerCAmelCase					:					Dict								=							black.format_str(SCREAMING_SNAKE_CASE    ,				mode=SCREAMING_SNAKE_CASE    )
  lowerCAmelCase						,  lowerCAmelCase					:					List[Any]								=							style_docstrings_in_code(SCREAMING_SNAKE_CASE    )
  return result[len("class Bla:\n"    ) :] if has_indent else result
def  a__      (    SCREAMING_SNAKE_CASE   :   Optional[Any]    ,				SCREAMING_SNAKE_CASE   :   int=False    ):


  '''simple docstring'''







  with open(SCREAMING_SNAKE_CASE    ,				"r"    ,				encoding="utf-8"    ,				newline="\n"    ) as f:
    lowerCAmelCase					:					int								=							f.readlines()
  lowerCAmelCase					:					List[str]								=							[]
  lowerCAmelCase					:					str								=							0
  # Not a for loop cause `lines` is going to change (if `overwrite=True`).
  while line_index < len(SCREAMING_SNAKE_CASE    ):
    lowerCAmelCase					:					List[Any]								=							_re_copy_warning.search(lines[line_index]    )
    if search is None:
      line_index += 1
      continue

    # There is some copied code here, let's retrieve the original.
    lowerCAmelCase						,  lowerCAmelCase						,  lowerCAmelCase					:					List[Any]								=							search.groups()
    lowerCAmelCase					:					List[str]								=							find_code_in_diffusers(SCREAMING_SNAKE_CASE    )
    lowerCAmelCase					:					Optional[Any]								=							get_indent(SCREAMING_SNAKE_CASE    )

    lowerCAmelCase					:					Dict								=							line_index + 1 if indent == theoretical_indent else line_index + 2
    lowerCAmelCase					:					Optional[int]								=							theoretical_indent
    lowerCAmelCase					:					List[str]								=							start_index

    # Loop to check the observed code, stop when indentation diminishes or if we see a End copy comment.
    lowerCAmelCase					:					str								=							True
    while line_index < len(SCREAMING_SNAKE_CASE    ) and should_continue:
      line_index += 1
      if line_index >= len(SCREAMING_SNAKE_CASE    ):
        break
      lowerCAmelCase					:					Tuple								=							lines[line_index]
      lowerCAmelCase					:					str								=							_should_continue(SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE    ) and re.search(f"""^{indent}# End copy"""    ,				SCREAMING_SNAKE_CASE    ) is None
    # Clean up empty lines at the end (if any).
    while len(lines[line_index - 1]    ) <= 1:
      line_index -= 1

    lowerCAmelCase					:					Tuple								=							lines[start_index:line_index]
    lowerCAmelCase					:					List[str]								=							"".join(SCREAMING_SNAKE_CASE    )

    # Remove any nested `Copied from` comments to avoid circular copies
    lowerCAmelCase					:					List[str]								=							[line for line in theoretical_code.split("\n"    ) if _re_copy_warning.search(SCREAMING_SNAKE_CASE    ) is None]
    lowerCAmelCase					:					Union[str, Any]								=							"\n".join(SCREAMING_SNAKE_CASE    )

    # Before comparing, use the `replace_pattern` on the original code.
    if len(SCREAMING_SNAKE_CASE    ) > 0:
      lowerCAmelCase					:					str								=							replace_pattern.replace("with"    ,				""    ).split(","    )
      lowerCAmelCase					:					List[str]								=							[_re_replace_pattern.search(SCREAMING_SNAKE_CASE    ) for p in patterns]
      for pattern in patterns:
        if pattern is None:
          continue
        lowerCAmelCase						,  lowerCAmelCase						,  lowerCAmelCase					:					List[str]								=							pattern.groups()
        lowerCAmelCase					:					List[Any]								=							re.sub(SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE    )
        if option.strip() == "all-casing":
          lowerCAmelCase					:					Optional[Any]								=							re.sub(obja.lower()    ,				obja.lower()    ,				SCREAMING_SNAKE_CASE    )
          lowerCAmelCase					:					Dict								=							re.sub(obja.upper()    ,				obja.upper()    ,				SCREAMING_SNAKE_CASE    )

            # Blackify after replacement. To be able to do that, we need the header (class or function definition)
            # from the previous line
      lowerCAmelCase					:					Union[str, Any]								=							blackify(lines[start_index - 1] + theoretical_code    )
      lowerCAmelCase					:					List[str]								=							theoretical_code[len(lines[start_index - 1]    ) :]

    # Test for a diff and act accordingly.
    if observed_code != theoretical_code:
      diffs.append([object_name, start_index]    )
      if overwrite:
        lowerCAmelCase					:					Tuple								=							lines[:start_index] + [theoretical_code] + lines[line_index:]
        lowerCAmelCase					:					int								=							start_index + 1

  if overwrite and len(SCREAMING_SNAKE_CASE    ) > 0:
    # Warn the user a file has been modified.
    print(f"""Detected changes, rewriting {filename}."""    )
    with open(SCREAMING_SNAKE_CASE    ,				"w"    ,				encoding="utf-8"    ,				newline="\n"    ) as f:
      f.writelines(SCREAMING_SNAKE_CASE    )
  return diffs
def  a__      (    SCREAMING_SNAKE_CASE   :   bool = False    ):


  '''simple docstring'''







  lowerCAmelCase					:					List[Any]								=							glob.glob(os.path.join(SCREAMING_SNAKE_CASE    ,				"**/*.py"    )    ,				recursive=SCREAMING_SNAKE_CASE    )
  lowerCAmelCase					:					str								=							[]
  for filename in all_files:
    lowerCAmelCase					:					List[Any]								=							is_copy_consistent(SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE    )
    diffs += [f"""- {filename}: copy does not match {d[0]} at line {d[1]}""" for d in new_diffs]
  if not overwrite and len(SCREAMING_SNAKE_CASE    ) > 0:
    lowerCAmelCase					:					List[Any]								=							"\n".join(SCREAMING_SNAKE_CASE    )
    raise Exception(
        "Found the following copy inconsistencies:\n"
        + diff
        + "\nRun `make fix-copies` or `python utils/check_copies.py --fix_and_overwrite` to fix them."    )


if __name__ == "__main__":
     lowerCAmelCase__				    =       argparse.ArgumentParser()
     parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
     lowerCAmelCase__				    =       parser.parse_args()

     check_copies(args.fix_and_overwrite)





