





'''simple docstring'''
import importlib
from typing import List, Optional, Union

from seqeval.metrics import accuracy_score, classification_report

import datasets


a__							:							Optional[Any]			='''\
@inproceedings{ramshaw-marcus-1995-text,
    title = "Text Chunking using Transformation-Based Learning",
    author = "Ramshaw, Lance  and
      Marcus, Mitch",
    booktitle = "Third Workshop on Very Large Corpora",
    year = "1995",
    url = "https://www.aclweb.org/anthology/W95-0107",
}
@misc{seqeval,
  title={{seqeval}: A Python framework for sequence labeling evaluation},
  url={https://github.com/chakki-works/seqeval},
  note={Software available from https://github.com/chakki-works/seqeval},
  author={Hiroki Nakayama},
  year={2018},
}
'''

a__							:							Union[str, Any]			='''\
seqeval is a Python framework for sequence labeling evaluation.
seqeval can evaluate the performance of chunking tasks such as named-entity recognition, part-of-speech tagging, semantic role labeling and so on.

This is well-tested by using the Perl script conlleval, which can be used for
measuring the performance of a system that has processed the CoNLL-2000 shared task data.

seqeval supports following formats:
IOB1
IOB2
IOE1
IOE2
IOBES

See the [README.md] file at https://github.com/chakki-works/seqeval for more information.
'''

a__							:							Tuple			='''
Produces labelling scores along with its sufficient statistics
from a source against one or more references.

Args:
    predictions: List of List of predicted labels (Estimated targets as returned by a tagger)
    references: List of List of reference labels (Ground truth (correct) target values)
    suffix: True if the IOB prefix is after type, False otherwise. default: False
    scheme: Specify target tagging scheme. Should be one of ["IOB1", "IOB2", "IOE1", "IOE2", "IOBES", "BILOU"].
        default: None
    mode: Whether to count correct entity labels with incorrect I/B tags as true positives or not.
        If you want to only count exact matches, pass mode="strict". default: None.
    sample_weight: Array-like of shape (n_samples,), weights for individual samples. default: None
    zero_division: Which value to substitute as a metric value when encountering zero division. Should be on of 0, 1,
        "warn". "warn" acts as 0, but the warning is raised.

Returns:
    \'scores\': dict. Summary of the scores for overall and per type
        Overall:
            \'accuracy\': accuracy,
            \'precision\': precision,
            \'recall\': recall,
            \'f1\': F1 score, also known as balanced F-score or F-measure,
        Per type:
            \'precision\': precision,
            \'recall\': recall,
            \'f1\': F1 score, also known as balanced F-score or F-measure
Examples:

    >>> predictions = [[\'O\', \'O\', \'B-MISC\', \'I-MISC\', \'I-MISC\', \'I-MISC\', \'O\'], [\'B-PER\', \'I-PER\', \'O\']]
    >>> references = [[\'O\', \'O\', \'O\', \'B-MISC\', \'I-MISC\', \'I-MISC\', \'O\'], [\'B-PER\', \'I-PER\', \'O\']]
    >>> seqeval = datasets.load_metric("seqeval")
    >>> results = seqeval.compute(predictions=predictions, references=references)
    >>> print(list(results.keys()))
    [\'MISC\', \'PER\', \'overall_precision\', \'overall_recall\', \'overall_f1\', \'overall_accuracy\']
    >>> print(results["overall_f1"])
    0.5
    >>> print(results["PER"]["f1"])
    1.0
'''

@datasets.utils.file_utils.add_start_docstrings(_DESCRIPTION      ,	_KWARGS_DESCRIPTION	)
class 					snake_case					(   datasets.Metric	):




 """simple docstring"""



 def 	_lowerCamelCase (	self	:							Optional[Any]     ):
        return datasets.MetricInfo(
            description=_DESCRIPTION							,     citation=_CITATION							,     homepage='https://github.com/chakki-works/seqeval'							,     inputs_description=_KWARGS_DESCRIPTION							,     features=datasets.Features(
                {
                    'predictions': datasets.Sequence(datasets.Value('string'							,     id='label'     )							,     id='sequence'     ),
                    'references': datasets.Sequence(datasets.Value('string'							,     id='label'     )							,     id='sequence'     ),
                }     )							,     codebase_urls=['https://github.com/chakki-works/seqeval']							,     reference_urls=['https://github.com/chakki-works/seqeval']							,     )






 def 	_lowerCamelCase (	self	:							Optional[Any]							,     __A	:							Union[str, Any]							,     __A	:							int							,     __A	:							bool = False							,     __A	:							Optional[str] = None							,     __A	:							Optional[str] = None							,     __A	:							Optional[List[int]] = None							,     __A	:							Union[str, int] = "warn"							,     ):
        if scheme is not None:
               try:
                      __UpperCamelCase	=  importlib.import_module('seqeval.scheme'     )
                      __UpperCamelCase	=  getattr(__A							,     __A     )
               except AttributeError:
                      raise ValueError(f'''Scheme should be one of [IOB1, IOB2, IOE1, IOE2, IOBES, BILOU], got {scheme}'''     )
        __UpperCamelCase	=  classification_report(
            y_true=__A							,     y_pred=__A							,     suffix=__A							,     output_dict=__A							,     scheme=__A							,     mode=__A							,     sample_weight=__A							,     zero_division=__A							,     )
        report.pop('macro avg'     )
        report.pop('weighted avg'     )
        __UpperCamelCase	=  report.pop('micro avg'     )

        __UpperCamelCase	=  {
            type_name: {
                'precision': score['precision'],
                'recall': score['recall'],
                'f1': score['f1-score'],
                'number': score['support'],
            }
            for type_name, score in report.items()
        }
        __UpperCamelCase	=  overall_score['precision']
        __UpperCamelCase	=  overall_score['recall']
        __UpperCamelCase	=  overall_score['f1-score']
        __UpperCamelCase	=  accuracy_score(y_true=__A							,     y_pred=__A     )

        return scores







'''simple docstring'''
import logging
import os
import sys
import threading
from logging import (
    CRITICAL,  # NOQA
    DEBUG,  # NOQA
    ERROR,  # NOQA
    FATAL,  # NOQA
    INFO,  # NOQA
    NOTSET,  # NOQA
    WARN,  # NOQA
    WARNING,  # NOQA
)
from typing import Optional

from tqdm import auto as tqdm_lib


a__							:							Optional[int]			=threading.Lock()
a__							:							Optional[logging.Handler]			=None

a__							:							Optional[Any]			={
    '''debug''': logging.DEBUG,
    '''info''': logging.INFO,
    '''warning''': logging.WARNING,
    '''error''': logging.ERROR,
    '''critical''': logging.CRITICAL,
}

a__							:							List[Any]			=logging.WARNING

a__							:							str			=True
def     lowercase__       (       )			->				int:



       """simple docstring"""






       __UpperCamelCase	=  os.getenv('DIFFUSERS_VERBOSITY'    ,  __lowercase					)
       if env_level_str:
              if env_level_str in log_levels:
                     return log_levels[env_level_str]
              else:
                     logging.getLogger().warning(
                         F'''Unknown option DIFFUSERS_VERBOSITY={env_level_str}, '''
                         F'''has to be one of: { ', '.join(log_levels.keys()					) }'''					)
       return _default_log_level
def     lowercase__       (       )			->				str:



       """simple docstring"""






       return __name__.split('.'					)[0]
def     lowercase__       (       )			->				logging.Logger:



       """simple docstring"""






       return logging.getLogger(_get_library_name()					)
def     lowercase__       (       )			->				None:



       """simple docstring"""






       global _default_handler

       with _lock:
              if _default_handler:
                     # This library has already configured the library root logger.
                     return
              __UpperCamelCase	=  logging.StreamHandler()  # Set sys.stderr as stream.
              __UpperCamelCase	=  sys.stderr.flush

              # Apply our default configuration to the library root logger.
              __UpperCamelCase	=  _get_library_root_logger()
              library_root_logger.addHandler(_default_handler					)
              library_root_logger.setLevel(_get_default_logging_level()					)
              __UpperCamelCase	=  False
def     lowercase__       (       )			->				None:



       """simple docstring"""






       global _default_handler

       with _lock:
              if not _default_handler:
                     return

              __UpperCamelCase	=  _get_library_root_logger()
              library_root_logger.removeHandler(_default_handler					)
              library_root_logger.setLevel(logging.NOTSET					)
              __UpperCamelCase	=  None
def     lowercase__       (       )			->				str:



       """simple docstring"""






       return log_levels
def     lowercase__       (       __lowercase						:  Optional[str] = None					)			->				logging.Logger:



       """simple docstring"""






       if name is None:
              __UpperCamelCase	=  _get_library_name()

       _configure_library_root_logger()
       return logging.getLogger(__lowercase					)
def     lowercase__       (       )			->				int:



       """simple docstring"""






       _configure_library_root_logger()
       return _get_library_root_logger().getEffectiveLevel()
def     lowercase__       (       __lowercase						:  int					)			->				None:



       """simple docstring"""






       _configure_library_root_logger()
       _get_library_root_logger().setLevel(__lowercase					)
def     lowercase__       (       )			->				Tuple:



       """simple docstring"""






       return set_verbosity(__lowercase					)
def     lowercase__       (       )			->				Union[str, Any]:



       """simple docstring"""






       return set_verbosity(__lowercase					)
def     lowercase__       (       )			->				Any:



       """simple docstring"""






       return set_verbosity(__lowercase					)
def     lowercase__       (       )			->				int:



       """simple docstring"""






       return set_verbosity(__lowercase					)
def     lowercase__       (       )			->				None:



       """simple docstring"""






       _configure_library_root_logger()

       assert _default_handler is not None
       _get_library_root_logger().removeHandler(_default_handler					)
def     lowercase__       (       )			->				None:



       """simple docstring"""






       _configure_library_root_logger()

       assert _default_handler is not None
       _get_library_root_logger().addHandler(_default_handler					)
def     lowercase__       (       __lowercase						:  logging.Handler					)			->				None:



       """simple docstring"""






       _configure_library_root_logger()

       assert handler is not None
       _get_library_root_logger().addHandler(__lowercase					)
def     lowercase__       (       __lowercase						:  logging.Handler					)			->				None:



       """simple docstring"""






       _configure_library_root_logger()

       assert handler is not None and handler not in _get_library_root_logger().handlers
       _get_library_root_logger().removeHandler(__lowercase					)
def     lowercase__       (       )			->				None:



       """simple docstring"""






       _configure_library_root_logger()
       __UpperCamelCase	=  False
def     lowercase__       (       )			->				None:



       """simple docstring"""






       _configure_library_root_logger()
       __UpperCamelCase	=  True
def     lowercase__       (       )			->				None:



       """simple docstring"""






       __UpperCamelCase	=  _get_library_root_logger().handlers

       for handler in handlers:
              __UpperCamelCase	=  logging.Formatter('[%(levelname)s|%(filename)s:%(lineno)s] %(asctime)s >> %(message)s'					)
              handler.setFormatter(__lowercase					)
def     lowercase__       (       )			->				None:



       """simple docstring"""






       __UpperCamelCase	=  _get_library_root_logger().handlers

       for handler in handlers:
              handler.setFormatter(__lowercase					)
def     lowercase__       (       self						:  int    ,  *__lowercase						:  List[str]    ,  **__lowercase						:  List[Any]					)			->				Any:



       """simple docstring"""






       __UpperCamelCase	=  os.getenv('DIFFUSERS_NO_ADVISORY_WARNINGS'    ,  __lowercase					)
       if no_advisory_warnings:
              return
       self.warning(*__lowercase    ,  **__lowercase					)


a__							:							Dict			=warning_advice

class 					snake_case					:




 """simple docstring"""



 def __init__(	self	:							Optional[int]							,     *__A	:							int							,     **__A	:							Dict     ):  # pylint: disable=unused-argument
        __UpperCamelCase	=  args[0] if args else None






 def __iter__(	self	:							str     ):
        return iter(self._iterator     )






 def __getattr__(	self	:							Tuple							,     __A	:							Any     ):

        def empty_fn(*__A	:							Any							,     **__A	:							List[str]     ):  # pylint: disable=unused-argument
               return

        return empty_fn






 def __enter__(	self	:							str     ):
        return self






 def __exit__(	self	:							Optional[Any]							,     __A	:							Dict							,     __A	:							str							,     __A	:							Dict     ):
        return






class 					snake_case					:




 """simple docstring"""



 def __call__(	self	:							Union[str, Any]							,     *__A	:							Union[str, Any]							,     **__A	:							Dict     ):
        if _tqdm_active:
               return tqdm_lib.tqdm(*__A							,     **__A     )
        else:
               return EmptyTqdm(*__A							,     **__A     )






 def 	_lowerCamelCase (	self	:							Any							,     *__A	:							str							,     **__A	:							Optional[int]     ):
        __UpperCamelCase	=  None
        if _tqdm_active:
               return tqdm_lib.tqdm.set_lock(*__A							,     **__A     )






 def 	_lowerCamelCase (	self	:							Optional[int]     ):
        if _tqdm_active:
               return tqdm_lib.tqdm.get_lock()






a__							:							List[Any]			=_tqdm_cls()
def     lowercase__       (       )			->				bool:



       """simple docstring"""






       global _tqdm_active
       return bool(_tqdm_active					)
def     lowercase__       (       )			->				List[str]:



       """simple docstring"""






       global _tqdm_active
       __UpperCamelCase	=  True


def     lowercase__       (       )			->				str:



       """simple docstring"""






       global _tqdm_active
       __UpperCamelCase	=  False
