




"""simple docstring"""


import argparse
import re
from typing import Dict

import torch
from datasets import Audio, Dataset, load_dataset, load_metric

from transformers import AutoFeatureExtractor, pipeline



def 	lowercase_				(			__UpperCAmelCase    ,		__UpperCAmelCase				)						->    Dict:
      lowerCAmelCase__      :			List[str]   =	args.log_outputs
      lowerCAmelCase__      :			int   =	"""_""".join(args.dataset.split("""/"""				) + [args.config, args.split]				)

      # load metric
      lowerCAmelCase__      :			Dict   =	load_metric("""wer"""				)
      lowerCAmelCase__      :			int   =	load_metric("""cer"""				)

      # compute metrics
      lowerCAmelCase__      :			str   =	wer.compute(references=result["""target"""]    ,		predictions=result["""prediction"""]				)
      lowerCAmelCase__      :			Any   =	cer.compute(references=result["""target"""]    ,		predictions=result["""prediction"""]				)

      # print & log results
      lowerCAmelCase__      :			Union[str, Any]   =	f"""WER: {wer_result}\nCER: {cer_result}"""
      print(__UpperCAmelCase				)

      with open(f"""{dataset_id}_eval_results.txt"""    ,		"""w"""				) as f:
            f.write(__UpperCAmelCase				)

      # log all results in text file. Possibly interesting for analysis
      if log_outputs is not None:
            lowerCAmelCase__      :			List[str]   =	f"""log_{dataset_id}_predictions.txt"""
            lowerCAmelCase__      :			Optional[int]   =	f"""log_{dataset_id}_targets.txt"""

            with open(__UpperCAmelCase    ,		"""w"""				) as p, open(__UpperCAmelCase    ,		"""w"""				) as t:
                  # mapping function to write output
                  def write_to_file(__UpperCAmelCase    ,		__UpperCAmelCase				):
                        p.write(f"""{i}""" + """\n"""				)
                        p.write(batch["""prediction"""] + """\n"""				)
                        t.write(f"""{i}""" + """\n"""				)
                        t.write(batch["""target"""] + """\n"""				)

                  result.map(__UpperCAmelCase    ,		with_indices=__UpperCAmelCase				)



def 	lowercase_				(			__UpperCAmelCase				)						->    str:
      lowerCAmelCase__      :			List[str]   =	"""[,?.!\-\;\:\"“%‘”�—’…–]"""  # noqa: W605 IMPORTANT: this should correspond to the chars that were ignored during training

      lowerCAmelCase__      :			Tuple   =	re.sub(__UpperCAmelCase    ,		""""""    ,		text.lower()				)

      # In addition, we can normalize the target text, e.g. removing new lines characters etc...
      # note that order is important here!
      lowerCAmelCase__      :			Optional[int]   =	["""\n\n""", """\n""", """   """, """  """]

      for t in token_sequences_to_ignore:
            lowerCAmelCase__      :			int   =	""" """.join(text.split(__UpperCAmelCase				)				)

      return text



def 	lowercase_				(			__UpperCAmelCase				)						->    str:
      # load dataset
      lowerCAmelCase__      :			Tuple   =	load_dataset(args.dataset    ,		args.config    ,		split=args.split    ,		use_auth_token=__UpperCAmelCase				)

      # for testing: only process the first two examples as a test
      # dataset = dataset.select(range(10))

      # load processor
      lowerCAmelCase__      :			int   =	AutoFeatureExtractor.from_pretrained(args.model_id				)
      lowerCAmelCase__      :			Any   =	feature_extractor.sampling_rate

      # resample audio
      lowerCAmelCase__      :			int   =	dataset.cast_column("""audio"""    ,		Audio(sampling_rate=__UpperCAmelCase				)				)

      # load eval pipeline
      if args.device is None:
            lowerCAmelCase__      :			str   =	0 if torch.cuda.is_available() else -1
      lowerCAmelCase__      :			int   =	pipeline("""automatic-speech-recognition"""    ,		model=args.model_id    ,		device=args.device				)

      # map function to decode audio
      def map_to_pred(__UpperCAmelCase				):
            lowerCAmelCase__      :			str   =	asr(
                batch["""audio"""]["""array"""]    ,		chunk_length_s=args.chunk_length_s    ,		stride_length_s=args.stride_length_s				)

            lowerCAmelCase__      :			Optional[Any]   =	prediction["""text"""]
            lowerCAmelCase__      :			Union[str, Any]   =	normalize_text(batch["""sentence"""]				)
            return batch

      # run inference on all examples
      lowerCAmelCase__      :			List[Any]   =	dataset.map(__UpperCAmelCase    ,		remove_columns=dataset.column_names				)

      # compute and log_results
      # do not change function below
      log_results(__UpperCAmelCase    ,		__UpperCAmelCase				)


if __name__ == "__main__":
  _A													=      argparse.ArgumentParser()

  parser.add_argument(
      """--model_id""", type=str, required=True, help="""Model identifier. Should be loadable with 🤗 Transformers"""
  )
  parser.add_argument(
      """--dataset""",
      type=str,
      required=True,
      help="""Dataset name to evaluate the `model_id`. Should be loadable with 🤗 Datasets""",
  )
  parser.add_argument(
      """--config""", type=str, required=True, help="""Config of the dataset. *E.g.* `'en'`  for Common Voice"""
  )
  parser.add_argument("""--split""", type=str, required=True, help="""Split of the dataset. *E.g.* `'test'`""")
  parser.add_argument(
      """--chunk_length_s""", type=float, default=None, help="""Chunk length in seconds. Defaults to 5 seconds."""
  )
  parser.add_argument(
      """--stride_length_s""", type=float, default=None, help="""Stride of the audio chunks. Defaults to 1 second."""
  )
  parser.add_argument(
      """--log_outputs""", action="""store_true""", help="""If defined, write outputs to log file for analysis."""
  )
  parser.add_argument(
      """--device""",
      type=int,
      default=None,
      help="""The device to run the pipeline on. -1 for CPU (default), 0 for the first GPU and so on.""",
  )
  _A													=      parser.parse_args()

  main(args)











"""simple docstring"""


import unittest

from .lib import (
    Matrix,
    Vector,
    axpy,
    square_zero_matrix,
    unit_basis_vector,
    zero_vector,
)


class _lowerCamelCase    (					unittest.TestCase						):






   def 	_lowerCAmelCase   (		self       :		Dict   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			Tuple   =	Vector([1, 2, 3]   )
         self.assertEqual(x.component(0   )   ,     1   )
         self.assertEqual(x.component(2   )   ,     3   )
         lowerCAmelCase__      :			Union[str, Any]   =	Vector()






   def 	_lowerCAmelCase   (		self       :		Union[str, Any]   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			str   =	Vector([0, 0, 0, 0, 0, 1]   )
         self.assertEqual(str(UpperCamelCase   )   ,     """(0,0,0,0,0,1)"""   )






   def 	_lowerCAmelCase   (		self       :		Any   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			List[Any]   =	Vector([1, 2, 3, 4]   )
         self.assertEqual(len(UpperCamelCase   )   ,     4   )






   def 	_lowerCAmelCase   (		self       :		List[str]   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			str   =	Vector([1, 2]   )
         lowerCAmelCase__      :			Optional[int]   =	Vector([1, 2, 3, 4, 5]   )
         lowerCAmelCase__      :			Union[str, Any]   =	Vector([0, 0, 0, 0, 0, 0, 0, 0, 0, 0]   )
         lowerCAmelCase__      :			List[Any]   =	Vector([1, -1, 1, -1, 2, -3, 4, -5]   )
         self.assertAlmostEqual(x.euclidean_length()   ,     2.236   ,     3   )
         self.assertAlmostEqual(y.euclidean_length()   ,     7.416   ,     3   )
         self.assertEqual(z.euclidean_length()   ,     0   )
         self.assertAlmostEqual(w.euclidean_length()   ,     7.616   ,     3   )






   def 	_lowerCAmelCase   (		self       :		Any   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			int   =	Vector([1, 2, 3]   )
         lowerCAmelCase__      :			Optional[Any]   =	Vector([1, 1, 1]   )
         self.assertEqual((x + y).component(0   )   ,     2   )
         self.assertEqual((x + y).component(1   )   ,     3   )
         self.assertEqual((x + y).component(2   )   ,     4   )






   def 	_lowerCAmelCase   (		self       :		Optional[Any]   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			Union[str, Any]   =	Vector([1, 2, 3]   )
         lowerCAmelCase__      :			Dict   =	Vector([1, 1, 1]   )
         self.assertEqual((x - y).component(0   )   ,     0   )
         self.assertEqual((x - y).component(1   )   ,     1   )
         self.assertEqual((x - y).component(2   )   ,     2   )






   def 	_lowerCAmelCase   (		self       :		Optional[Any]   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			Any   =	Vector([1, 2, 3]   )
         lowerCAmelCase__      :			Any   =	Vector([2, -1, 4]   )  # for test of dot product
         lowerCAmelCase__      :			Any   =	Vector([1, -2, -1]   )
         self.assertEqual(str(x * 3.0   )   ,     """(3.0,6.0,9.0)"""   )
         self.assertEqual((a * b)   ,     0   )






   def 	_lowerCAmelCase   (		self       :		int   )			->						None:

         """simple docstring"""
         self.assertEqual(str(zero_vector(10   )   ).count("""0"""   )   ,     10   )






   def 	_lowerCAmelCase   (		self       :		Tuple   )			->						None:

         """simple docstring"""
         self.assertEqual(str(unit_basis_vector(3   ,     1   )   )   ,     """(0,1,0)"""   )






   def 	_lowerCAmelCase   (		self       :		Optional[Any]   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			Tuple   =	Vector([1, 2, 3]   )
         lowerCAmelCase__      :			Optional[Any]   =	Vector([1, 0, 1]   )
         self.assertEqual(str(axpy(2   ,     UpperCamelCase   ,     UpperCamelCase   )   )   ,     """(3,4,7)"""   )






   def 	_lowerCAmelCase   (		self       :		Optional[int]   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			Tuple   =	Vector([1, 0, 0, 0, 0, 0]   )
         lowerCAmelCase__      :			Any   =	x.copy()
         self.assertEqual(str(UpperCamelCase   )   ,     str(UpperCamelCase   )   )






   def 	_lowerCAmelCase   (		self       :		Optional[Any]   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			Tuple   =	Vector([1, 0, 0]   )
         x.change_component(0   ,     0   )
         x.change_component(1   ,     1   )
         self.assertEqual(str(UpperCamelCase   )   ,     """(0,1,0)"""   )






   def 	_lowerCAmelCase   (		self       :		int   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			Optional[int]   =	Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]   ,     3   ,     3   )
         self.assertEqual("""|1,2,3|\n|2,4,5|\n|6,7,8|\n"""   ,     str(UpperCamelCase   )   )






   def 	_lowerCAmelCase   (		self       :		Union[str, Any]   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			Tuple   =	Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]   ,     3   ,     3   )
         lowerCAmelCase__      :			Dict   =	[[-3, -14, -10], [-5, -10, -5], [-2, -1, 0]]
         for x in range(a.height()   ):
               for y in range(a.width()   ):
                     self.assertEqual(minors[x][y]   ,     a.minor(UpperCamelCase   ,     UpperCamelCase   )   )






   def 	_lowerCAmelCase   (		self       :		List[Any]   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			str   =	Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]   ,     3   ,     3   )
         lowerCAmelCase__      :			int   =	[[-3, 14, -10], [5, -10, 5], [-2, 1, 0]]
         for x in range(a.height()   ):
               for y in range(a.width()   ):
                     self.assertEqual(cofactors[x][y]   ,     a.cofactor(UpperCamelCase   ,     UpperCamelCase   )   )






   def 	_lowerCAmelCase   (		self       :		int   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			Union[str, Any]   =	Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]   ,     3   ,     3   )
         self.assertEqual(-5   ,     a.determinant()   )






   def 	_lowerCAmelCase   (		self       :		int   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			Optional[Any]   =	Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]   ,     3   ,     3   )
         lowerCAmelCase__      :			Tuple   =	Vector([1, 2, 3]   )
         self.assertEqual("""(14,32,50)"""   ,     str(a * x   )   )
         self.assertEqual("""|2,4,6|\n|8,10,12|\n|14,16,18|\n"""   ,     str(a * 2   )   )






   def 	_lowerCAmelCase   (		self       :		str   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			Dict   =	Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]   ,     3   ,     3   )
         a.change_component(0   ,     2   ,     5   )
         self.assertEqual("""|1,2,5|\n|2,4,5|\n|6,7,8|\n"""   ,     str(UpperCamelCase   )   )






   def 	_lowerCAmelCase   (		self       :		Tuple   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			Tuple   =	Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]   ,     3   ,     3   )
         self.assertEqual(7   ,     a.component(2   ,     1   )   ,     0.01   )






   def 	_lowerCAmelCase   (		self       :		Any   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			Tuple   =	Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]   ,     3   ,     3   )
         lowerCAmelCase__      :			List[Any]   =	Matrix([[1, 2, 7], [2, 4, 5], [6, 7, 10]]   ,     3   ,     3   )
         self.assertEqual("""|2,4,10|\n|4,8,10|\n|12,14,18|\n"""   ,     str(a + b   )   )






   def 	_lowerCAmelCase   (		self       :		List[Any]   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			Optional[Any]   =	Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]   ,     3   ,     3   )
         lowerCAmelCase__      :			Dict   =	Matrix([[1, 2, 7], [2, 4, 5], [6, 7, 10]]   ,     3   ,     3   )
         self.assertEqual("""|0,0,-4|\n|0,0,0|\n|0,0,-2|\n"""   ,     str(a - b   )   )






   def 	_lowerCAmelCase   (		self       :		Union[str, Any]   )			->						None:

         """simple docstring"""
         self.assertEqual(
             """|0,0,0,0,0|\n|0,0,0,0,0|\n|0,0,0,0,0|\n|0,0,0,0,0|\n|0,0,0,0,0|\n"""   ,     str(square_zero_matrix(5   )   )   ,     )


if __name__ == "__main__":
  unittest.main()





