





"""simple docstring"""


from collections import Counter

import sacrebleu
import sacremoses
from packaging import version

import datasets


lowerCamelCase__      =      "\\n@inproceedings{xu-etal-2016-optimizing,\ntitle = {Optimizing Statistical Machine Translation for Text Simplification},\nauthors={Xu, Wei and Napoles, Courtney and Pavlick, Ellie and Chen, Quanze and Callison-Burch, Chris},\njournal = {Transactions of the Association for Computational Linguistics},\nvolume = {4},\nyear={2016},\nurl = {https://www.aclweb.org/anthology/Q16-1029},\npages = {401--415},\n}\n"

lowerCamelCase__      =      "\\nSARI is a metric used for evaluating automatic text simplification systems.\nThe metric compares the predicted simplified sentences against the reference\nand the source sentences. It explicitly measures the goodness of words that are\nadded, deleted and kept by the system.\nSari = (F1_add + F1_keep + P_del) / 3\nwhere\nF1_add: n-gram F1 score for add operation\nF1_keep: n-gram F1 score for keep operation\nP_del: n-gram precision score for delete operation\nn = 4, as in the original paper.\n\nThis implementation is adapted from Tensorflow's tensor2tensor implementation [3].\nIt has two differences with the original GitHub [1] implementation:\n  (1) Defines 0/0=1 instead of 0 to give higher scores for predictions that match\n      a target exactly.\n  (2) Fixes an alleged bug [2] in the keep score computation.\n[1] https://github.com/cocoxu/simplification/blob/master/SARI.py\n    (commit 0210f15)\n[2] https://github.com/cocoxu/simplification/issues/6\n[3] https://github.com/tensorflow/tensor2tensor/blob/master/tensor2tensor/utils/sari_hook.py\n"


lowerCamelCase__      =      "\nCalculates sari score (between 0 and 100) given a list of source and predicted\nsentences, and a list of lists of reference sentences.\nArgs:\n    sources: list of source sentences where each sentence should be a string.\n    predictions: list of predicted sentences where each sentence should be a string.\n    references: list of lists of reference sentences where each sentence should be a string.\nReturns:\n    sari: sari score\nExamples:\n    >>> sources=[\"About 95 species are currently accepted .\"]\n    >>> predictions=[\"About 95 you now get in .\"]\n    >>> references=[[\"About 95 species are currently known .\",\"About 95 species are now accepted .\",\"95 species are now accepted .\"]]\n    >>> sari = datasets.load_metric(\"sari\")\n    >>> results = sari.compute(sources=sources, predictions=predictions, references=references)\n    >>> print(results)\n    {'sari': 26.953601953601954}\n"




def     lowercase__			(    lowercase_						,lowercase_						,lowercase_						,lowercase_	)    ->						List[str]:




      """simple docstring"""

      _UpperCamelCase					:		str  =				[rgram for rgrams in rgramslist for rgram in rgrams]
      _UpperCamelCase					:		List[Any]  =				Counter(lowercase_	)

      _UpperCamelCase					:		Tuple  =				Counter(lowercase_	)
      _UpperCamelCase					:		Optional[Any]  =				Counter()
      for sgram, scount in sgramcounter.items():
            _UpperCamelCase					:		Tuple  =				scount * numref

      _UpperCamelCase					:		List[Any]  =				Counter(lowercase_	)
      _UpperCamelCase					:		Tuple  =				Counter()
      for cgram, ccount in cgramcounter.items():
            _UpperCamelCase					:		Optional[Any]  =				ccount * numref

      # KEEP
      _UpperCamelCase					:		Optional[Any]  =				sgramcounter_rep & cgramcounter_rep
      _UpperCamelCase					:		Dict  =				keepgramcounter_rep & rgramcounter
      _UpperCamelCase					:		Union[str, Any]  =				sgramcounter_rep & rgramcounter

      _UpperCamelCase					:		Any  =				0
      _UpperCamelCase					:		Dict  =				0
      for keepgram in keepgramcountergood_rep:
            keeptmpscorea += keepgramcountergood_rep[keepgram] / keepgramcounter_rep[keepgram]
            # Fix an alleged bug [2] in the keep score computation.
            # keeptmpscore2 += keepgramcountergood_rep[keepgram] / keepgramcounterall_rep[keepgram]
            keeptmpscorea += keepgramcountergood_rep[keepgram]
      # Define 0/0=1 instead of 0 to give higher scores for predictions that match
      #      a target exactly.
      _UpperCamelCase					:		Any  =				1
      _UpperCamelCase					:		Tuple  =				1
      if len(lowercase_	) > 0:
            _UpperCamelCase					:		int  =				keeptmpscorea / len(lowercase_	)
      if len(lowercase_	) > 0:
            # Fix an alleged bug [2] in the keep score computation.
            # keepscore_recall = keeptmpscore2 / len(keepgramcounterall_rep)
            _UpperCamelCase					:		List[Any]  =				keeptmpscorea / sum(keepgramcounterall_rep.values()	)
      _UpperCamelCase					:		Optional[Any]  =				0
      if keepscore_precision > 0 or keepscore_recall > 0:
            _UpperCamelCase					:		str  =				2 * keepscore_precision * keepscore_recall / (keepscore_precision + keepscore_recall)

      # DELETION
      _UpperCamelCase					:		Optional[int]  =				sgramcounter_rep - cgramcounter_rep
      _UpperCamelCase					:		Union[str, Any]  =				delgramcounter_rep - rgramcounter
      _UpperCamelCase					:		str  =				sgramcounter_rep - rgramcounter
      _UpperCamelCase					:		Any  =				0
      _UpperCamelCase					:		int  =				0
      for delgram in delgramcountergood_rep:
            deltmpscorea += delgramcountergood_rep[delgram] / delgramcounter_rep[delgram]
            deltmpscorea += delgramcountergood_rep[delgram] / delgramcounterall_rep[delgram]
      # Define 0/0=1 instead of 0 to give higher scores for predictions that match
      # a target exactly.
      _UpperCamelCase					:		List[str]  =				1
      if len(lowercase_	) > 0:
            _UpperCamelCase					:		Optional[int]  =				deltmpscorea / len(lowercase_	)

      # ADDITION
      _UpperCamelCase					:		List[Any]  =				set(lowercase_	) - set(lowercase_	)
      _UpperCamelCase					:		Dict  =				set(lowercase_	) & set(lowercase_	)
      _UpperCamelCase					:		Optional[Any]  =				set(lowercase_	) - set(lowercase_	)

      _UpperCamelCase					:		Dict  =				0
      for addgram in addgramcountergood:
            addtmpscore += 1

      # Define 0/0=1 instead of 0 to give higher scores for predictions that match
      # a target exactly.
      _UpperCamelCase					:		Optional[Any]  =				1
      _UpperCamelCase					:		Any  =				1
      if len(lowercase_	) > 0:
            _UpperCamelCase					:		Optional[Any]  =				addtmpscore / len(lowercase_	)
      if len(lowercase_	) > 0:
            _UpperCamelCase					:		Optional[Any]  =				addtmpscore / len(lowercase_	)
      _UpperCamelCase					:		Any  =				0
      if addscore_precision > 0 or addscore_recall > 0:
            _UpperCamelCase					:		Dict  =				2 * addscore_precision * addscore_recall / (addscore_precision + addscore_recall)

      return (keepscore, delscore_precision, addscore)




def     lowercase__			(    lowercase_						,lowercase_						,lowercase_	)    ->						Dict:




      """simple docstring"""

      _UpperCamelCase					:		Optional[int]  =				len(lowercase_	)

      _UpperCamelCase					:		Optional[int]  =				ssent.split(" "	)
      _UpperCamelCase					:		Optional[Any]  =				csent.split(" "	)
      _UpperCamelCase					:		List[str]  =				[]
      _UpperCamelCase					:		Dict  =				[]
      _UpperCamelCase					:		str  =				[]
      _UpperCamelCase					:		List[str]  =				[]
      _UpperCamelCase					:		Union[str, Any]  =				[]
      _UpperCamelCase					:		Optional[int]  =				[]

      _UpperCamelCase					:		int  =				[]
      _UpperCamelCase					:		Tuple  =				[]
      _UpperCamelCase					:		Optional[Any]  =				[]
      _UpperCamelCase					:		Any  =				[]
      for rsent in rsents:
            _UpperCamelCase					:		List[Any]  =				rsent.split(" "	)
            _UpperCamelCase					:		Optional[Any]  =				[]
            _UpperCamelCase					:		Any  =				[]
            _UpperCamelCase					:		Tuple  =				[]
            ragramslist.append(lowercase_	)
            for i in range(0						,len(lowercase_	) - 1	):
                  if i < len(lowercase_	) - 1:
                        _UpperCamelCase					:		Tuple  =				ragrams[i] + " " + ragrams[i + 1]
                        ragrams.append(lowercase_	)
                  if i < len(lowercase_	) - 2:
                        _UpperCamelCase					:		Dict  =				ragrams[i] + " " + ragrams[i + 1] + " " + ragrams[i + 2]
                        ragrams.append(lowercase_	)
                  if i < len(lowercase_	) - 3:
                        _UpperCamelCase					:		int  =				ragrams[i] + " " + ragrams[i + 1] + " " + ragrams[i + 2] + " " + ragrams[i + 3]
                        ragrams.append(lowercase_	)
            ragramslist.append(lowercase_	)
            ragramslist.append(lowercase_	)
            ragramslist.append(lowercase_	)

      for i in range(0						,len(lowercase_	) - 1	):
            if i < len(lowercase_	) - 1:
                  _UpperCamelCase					:		str  =				sagrams[i] + " " + sagrams[i + 1]
                  sagrams.append(lowercase_	)
            if i < len(lowercase_	) - 2:
                  _UpperCamelCase					:		List[str]  =				sagrams[i] + " " + sagrams[i + 1] + " " + sagrams[i + 2]
                  sagrams.append(lowercase_	)
            if i < len(lowercase_	) - 3:
                  _UpperCamelCase					:		Union[str, Any]  =				sagrams[i] + " " + sagrams[i + 1] + " " + sagrams[i + 2] + " " + sagrams[i + 3]
                  sagrams.append(lowercase_	)

      for i in range(0						,len(lowercase_	) - 1	):
            if i < len(lowercase_	) - 1:
                  _UpperCamelCase					:		List[str]  =				cagrams[i] + " " + cagrams[i + 1]
                  cagrams.append(lowercase_	)
            if i < len(lowercase_	) - 2:
                  _UpperCamelCase					:		Tuple  =				cagrams[i] + " " + cagrams[i + 1] + " " + cagrams[i + 2]
                  cagrams.append(lowercase_	)
            if i < len(lowercase_	) - 3:
                  _UpperCamelCase					:		List[Any]  =				cagrams[i] + " " + cagrams[i + 1] + " " + cagrams[i + 2] + " " + cagrams[i + 3]
                  cagrams.append(lowercase_	)

      ((_UpperCamelCase),     (_UpperCamelCase),     (_UpperCamelCase))					:		Optional[int]  =				SARIngram(lowercase_						,lowercase_						,lowercase_						,lowercase_	)
      ((_UpperCamelCase),     (_UpperCamelCase),     (_UpperCamelCase))					:		Any  =				SARIngram(lowercase_						,lowercase_						,lowercase_						,lowercase_	)
      ((_UpperCamelCase),     (_UpperCamelCase),     (_UpperCamelCase))					:		List[str]  =				SARIngram(lowercase_						,lowercase_						,lowercase_						,lowercase_	)
      ((_UpperCamelCase),     (_UpperCamelCase),     (_UpperCamelCase))					:		Dict  =				SARIngram(lowercase_						,lowercase_						,lowercase_						,lowercase_	)
      _UpperCamelCase					:		List[Any]  =				sum([keepascore, keepascore, keepascore, keepascore]	) / 4
      _UpperCamelCase					:		int  =				sum([delascore, delascore, delascore, delascore]	) / 4
      _UpperCamelCase					:		Union[str, Any]  =				sum([addascore, addascore, addascore, addascore]	) / 4
      _UpperCamelCase					:		Any  =				(avgkeepscore + avgdelscore + avgaddscore) / 3
      return finalscore




def     lowercase__			(    lowercase_						,lowercase_ = True						,lowercase_ = "13a"						,lowercase_ = True	)    ->						str:




      """simple docstring"""

      if lowercase:
            _UpperCamelCase					:		Tuple  =				sentence.lower()

      if tokenizer in ["13a", "intl"]:
            if version.parse(sacrebleu.__version__	).major >= 2:
                  _UpperCamelCase					:		str  =				sacrebleu.metrics.bleu._get_tokenizer(lowercase_	)()(lowercase_	)
            else:
                  _UpperCamelCase					:		Dict  =				sacrebleu.TOKENIZERS[tokenizer]()(lowercase_	)
      elif tokenizer == "moses":
            _UpperCamelCase					:		str  =				sacremoses.MosesTokenizer().tokenize(lowercase_						,return_str=lowercase_						,escape=lowercase_	)
      elif tokenizer == "penn":
            _UpperCamelCase					:		int  =				sacremoses.MosesTokenizer().penn_tokenize(lowercase_						,return_str=lowercase_	)
      else:
            _UpperCamelCase					:		Optional[int]  =				sentence

      if not return_str:
            _UpperCamelCase					:		int  =				normalized_sent.split()

      return normalized_sent



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







  '''simple docstring'''


  def       __SCREAMING_SNAKE_CASE (						self      :				int		)						-> Optional[Any]:
        return datasets.MetricInfo(
            description=_DESCRIPTION    ,      citation=_CITATION    ,      inputs_description=_KWARGS_DESCRIPTION    ,      features=datasets.Features(
                {
                    "sources": datasets.Value("string"    ,      id="sequence"		),
                    "predictions": datasets.Value("string"    ,      id="sequence"		),
                    "references": datasets.Sequence(datasets.Value("string"    ,      id="sequence"		)    ,      id="references"		),
                }		)    ,      codebase_urls=[
                "https://github.com/cocoxu/simplification/blob/master/SARI.py",
                "https://github.com/tensorflow/tensor2tensor/blob/master/tensor2tensor/utils/sari_hook.py",
            ]    ,      reference_urls=["https://www.aclweb.org/anthology/Q16-1029.pdf"]    ,      )


  def       __SCREAMING_SNAKE_CASE (						self      :				int    ,      __a      :				int    ,      __a      :				Tuple    ,      __a      :				Optional[int]		)						-> Union[str, Any]:
        if not (len(__a		) == len(__a		) == len(__a		)):
              raise ValueError("Sources length must match predictions and references lengths."		)
        _UpperCamelCase					:		str  =				0
        for src, pred, refs in zip(__a    ,      __a    ,      __a		):
              sari_score += SARIsent(normalize(__a		)    ,      normalize(__a		)    ,      [normalize(__a		) for sent in refs]		)
        _UpperCamelCase					:		Any  =				sari_score / len(__a		)
        return {"sari": 100 * sari_score}







"""simple docstring"""


from __future__ import annotations




def     lowercase__			(    lowercase_						,lowercase_						,lowercase_	)    ->						int:




      """simple docstring"""

      assert n > 1 and a > 0 and greatest_common_divisor(lowercase_						,lowercase_	) == 1
      ((_UpperCamelCase),     (_UpperCamelCase),     (_UpperCamelCase))					:		int  =				extended_gcd(lowercase_						,lowercase_	)  # Implemented below
      _UpperCamelCase					:		Any  =				(b * s) % n
      return x




def     lowercase__			(    lowercase_						,lowercase_	)    ->						int:




      """simple docstring"""

      ((_UpperCamelCase),     (_UpperCamelCase))					:		List[Any]  =				extended_euclid(lowercase_						,lowercase_	)  # Implemented below
      if b < 0:
            _UpperCamelCase					:		Any  =				(b % n + n) % n
      return b




def     lowercase__			(    lowercase_						,lowercase_						,lowercase_	)    ->						int:




      """simple docstring"""

      _UpperCamelCase					:		Union[str, Any]  =				invert_modulo(lowercase_						,lowercase_	)
      _UpperCamelCase					:		Any  =				(b * s) % n
      return x




def     lowercase__			(    lowercase_						,lowercase_	)    ->						tuple[int, int, int]:




      """simple docstring"""

      assert a >= 0 and b >= 0

      if b == 0:
            _UpperCamelCase,     _UpperCamelCase,     _UpperCamelCase					:		str  =				a, 1, 0
      else:
            ((_UpperCamelCase),     (_UpperCamelCase),     (_UpperCamelCase))					:		str  =				extended_gcd(lowercase_						,a % b	)
            _UpperCamelCase					:		Dict  =				q
            _UpperCamelCase					:		Tuple  =				p - q * (a // b)

      assert a % d == 0 and b % d == 0
      assert d == a * x + b * y

      return (d, x, y)




def     lowercase__			(    lowercase_						,lowercase_	)    ->						tuple[int, int]:




      """simple docstring"""

      if b == 0:
            return (1, 0)
      ((_UpperCamelCase),     (_UpperCamelCase))					:		Optional[Any]  =				extended_euclid(lowercase_						,a % b	)
      _UpperCamelCase					:		Dict  =				a // b
      return (y, x - k * y)




def     lowercase__			(    lowercase_						,lowercase_	)    ->						int:




      """simple docstring"""

      if a < b:
            _UpperCamelCase,     _UpperCamelCase					:		List[Any]  =				b, a

      while a % b != 0:
            _UpperCamelCase,     _UpperCamelCase					:		List[Any]  =				b, a % b

      return b


if __name__ == "__main__":
  from doctest import testmod

  testmod(name="modular_division", verbose=True)
  testmod(name="modular_division2", verbose=True)
  testmod(name="invert_modulo", verbose=True)
  testmod(name="extended_gcd", verbose=True)
  testmod(name="extended_euclid", verbose=True)
  testmod(name="greatest_common_divisor", verbose=True)
