
"""simple docstring"""



import logging
import os
import sys
from pathlib import Path
from unittest.mock import patch

from parameterized import parameterized
from run_eval import run_generate
from run_eval_search import run_search

from transformers.testing_utils import CaptureStdout, TestCasePlus, slow
from utils import ROUGE_KEYS


logging.basicConfig(level=logging.DEBUG)
UpperCamelCase__          =	logging.getLogger()
def 					lowerCamelCase   (     _snake_case    ,_snake_case ):
    UpperCAmelCase__	:      str     							=					'\n'.join(_snake_case )
    Path(_snake_case ).open('w' ).writelines(_snake_case )


UpperCamelCase__          =	'patrickvonplaten/t5-tiny-random'
UpperCamelCase__          =	'sshleifer/bart-tiny-random'
UpperCamelCase__          =	'sshleifer/tiny-mbart'

UpperCamelCase__          =	logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)
logging.disable(logging.CRITICAL)  # remove noisy download output from tracebacks





class 				a			(					lowercase      ):



      def  __snake_case							(   self     ,	UpperCamelCase_      ):
          UpperCAmelCase__	:      Optional[Any]     							=					Path(self.get_auto_remove_tmp_dir()      ) / 'utest_input.source'
          UpperCAmelCase__	:      Optional[Any]     							=					input_file_name.parent / 'utest_output.txt'
          assert not output_file_name.exists()
          UpperCAmelCase__	:      Tuple     							=					[' New York (CNN)When Liana Barrientos was 23 years old, she got married in Westchester County.']
          _dump_articles(UpperCamelCase_     ,	UpperCamelCase_      )

          UpperCAmelCase__	:      Union[str, Any]     							=					str(Path(self.get_auto_remove_tmp_dir()      ) / 'scores.json'      )
          UpperCAmelCase__	:      int     							=					'translation_en_to_de' if model == T5_TINY else 'summarization'
          UpperCAmelCase__	:      List[str]     							=					F'''
            run_eval_search.py
            {model}
            {input_file_name}
            {output_file_name}
            --score_path {score_path}
            --task {task}
            --num_beams 2
            --length_penalty 2.0
            '''.split()

          with patch.object(UpperCamelCase_     ,	'argv'     ,	UpperCamelCase_      ):
              run_generate()
              assert Path(UpperCamelCase_      ).exists()
              # os.remove(Path(output_file_name))



      def  __snake_case							(   self      ):
          self.run_eval_tester(UpperCamelCase_      )



      @parameterized.expand([BART_TINY, MBART_TINY]      )
      @slow
      def  __snake_case							(   self     ,	UpperCamelCase_      ):
          self.run_eval_tester(UpperCamelCase_      )



      @parameterized.expand([T5_TINY, MBART_TINY]      )
      @slow
      def  __snake_case							(   self     ,	UpperCamelCase_      ):
          UpperCAmelCase__	:      str     							=					Path(self.get_auto_remove_tmp_dir()      ) / 'utest_input.source'
          UpperCAmelCase__	:      Any     							=					input_file_name.parent / 'utest_output.txt'
          assert not output_file_name.exists()

          UpperCAmelCase__	:      int     							=					{
              'en': ['Machine learning is great, isn\'t it?', 'I like to eat bananas', 'Tomorrow is another great day!'],
              'de': [
                  'Maschinelles Lernen ist großartig, oder?',
                  'Ich esse gerne Bananen',
                  'Morgen ist wieder ein toller Tag!',
              ],
          }

          UpperCAmelCase__	:      Any     							=					Path(self.get_auto_remove_tmp_dir()      )
          UpperCAmelCase__	:      Optional[Any]     							=					str(tmp_dir / 'scores.json'      )
          UpperCAmelCase__	:      Tuple     							=					str(tmp_dir / 'val.target'      )
          _dump_articles(UpperCamelCase_     ,	text['en']      )
          _dump_articles(UpperCamelCase_     ,	text['de']      )
          UpperCAmelCase__	:      Tuple     							=					'translation_en_to_de' if model == T5_TINY else 'summarization'
          UpperCAmelCase__	:      Optional[int]     							=					F'''
            run_eval_search.py
            {model}
            {str(UpperCamelCase_      )}
            {str(UpperCamelCase_      )}
            --score_path {score_path}
            --reference_path {reference_path}
            --task {task}
            '''.split()
          testargs.extend(['--search', 'num_beams=1:2 length_penalty=0.9:1.0']      )

          with patch.object(UpperCamelCase_     ,	'argv'     ,	UpperCamelCase_      ):
              with CaptureStdout() as cs:
                  run_search()
              UpperCAmelCase__	:      Union[str, Any]     							=					[' num_beams | length_penalty', model, 'Best score args']
              UpperCAmelCase__	:      Dict     							=					['Info']
              if "translation" in task:
                  expected_strings.append('bleu'      )
              else:
                  expected_strings.extend(UpperCamelCase_      )
              for w in expected_strings:
                  assert w in cs.out
              for w in un_expected_strings:
                  assert w not in cs.out
              assert Path(UpperCamelCase_      ).exists()
              os.remove(Path(UpperCamelCase_      )      )









from __future__ import annotations
class 		SCREAMING_SNAKE_CASE__	:

  '''simple docstring'''







  def __init__(      self		:			Optional[Any]       ,				lowerCamelCase		:			list[list[int]]							)						->	Any:


         """simple docstring"""
         _UpperCAmelCase							=    TypeError(
             """Matrices must be formed from a list of zero or more lists containing at """
             """least one and the same number of values, each of which must be of type """
             """int or float."""							)
         if len(lowerCamelCase							) != 0:
                _UpperCAmelCase							=    len(rows[0]							)
                if cols == 0:
                       raise error
                for row in rows:
                       if len(lowerCamelCase							) != cols:
                              raise error
                       for value in row:
                              if not isinstance(lowerCamelCase       ,				(int, float)							):
                                     raise error
                _UpperCAmelCase							=    rows
         else:
                _UpperCAmelCase							=    []


  def  lowerCamelCase       (      self		:			Optional[Any]							)						->	list[list[int]]:


         """simple docstring"""
         return [[row[i] for row in self.rows] for i in range(len(self.rows[0]							)							)]


  @property
  def  lowerCamelCase       (      self		:			int							)						->	int:


         """simple docstring"""
         return len(self.rows							)


  @property
  def  lowerCamelCase       (      self		:			int							)						->	int:


         """simple docstring"""
         return len(self.rows[0]							)


  @property
  def  lowerCamelCase       (      self		:			Tuple							)						->	tuple[int, int]:


         """simple docstring"""
         return (self.num_rows, self.num_columns)


  @property
  def  lowerCamelCase       (      self		:			Tuple							)						->	bool:


         """simple docstring"""
         return self.order[0] == self.order[1]


  def  lowerCamelCase       (      self		:			Optional[int]							)						->	Matrix:


         """simple docstring"""
         _UpperCAmelCase							=    [
             [0 if column_num != row_num else 1 for column_num in range(self.num_rows							)]
             for row_num in range(self.num_rows							)
         ]
         return Matrix(lowerCamelCase							)


  def  lowerCamelCase       (      self		:			Optional[Any]							)						->	int:


         """simple docstring"""
         if not self.is_square:
                return 0
         if self.order == (0, 0):
                return 1
         if self.order == (1, 1):
                return int(self.rows[0][0]							)
         if self.order == (2, 2):
                return int(
                    (self.rows[0][0] * self.rows[1][1])
                    - (self.rows[0][1] * self.rows[1][0])							)
         else:
                return sum(
                    self.rows[0][column] * self.cofactors().rows[0][column]
                    for column in range(self.num_columns							)							)


  def  lowerCamelCase       (      self		:			Optional[Any]							)						->	bool:


         """simple docstring"""
         return bool(self.determinant()							)


  def  lowerCamelCase       (      self		:			Tuple       ,				lowerCamelCase		:			int       ,				lowerCamelCase		:			int							)						->	int:


         """simple docstring"""
         _UpperCAmelCase							=    [
             [
                 self.rows[other_row][other_column]
                 for other_column in range(self.num_columns							)
                 if other_column != column
             ]
             for other_row in range(self.num_rows							)
             if other_row != row
         ]
         return Matrix(lowerCamelCase							).determinant()


  def  lowerCamelCase       (      self		:			int       ,				lowerCamelCase		:			int       ,				lowerCamelCase		:			int							)						->	int:


         """simple docstring"""
         if (row + column) % 2 == 0:
                return self.get_minor(lowerCamelCase       ,				lowerCamelCase							)
         return -1 * self.get_minor(lowerCamelCase       ,				lowerCamelCase							)


  def  lowerCamelCase       (      self		:			str							)						->	Matrix:


         """simple docstring"""
         return Matrix(
             [
                 [self.get_minor(lowerCamelCase       ,				lowerCamelCase							) for column in range(self.num_columns							)]
                 for row in range(self.num_rows							)
             ]							)


  def  lowerCamelCase       (      self		:			Dict							)						->	Matrix:


         """simple docstring"""
         return Matrix(
             [
                 [
                     self.minors().rows[row][column]
                     if (row + column) % 2 == 0
                     else self.minors().rows[row][column] * -1
                     for column in range(self.minors().num_columns							)
                 ]
                 for row in range(self.minors().num_rows							)
             ]							)


  def  lowerCamelCase       (      self		:			Optional[Any]							)						->	Matrix:


         """simple docstring"""
         _UpperCAmelCase							=    [
             [self.cofactors().rows[column][row] for column in range(self.num_columns							)]
             for row in range(self.num_rows							)
         ]
         return Matrix(lowerCamelCase							)


  def  lowerCamelCase       (      self		:			Any							)						->	Matrix:


         """simple docstring"""
         _UpperCAmelCase							=    self.determinant()
         if not determinant:
                raise TypeError("""Only matrices with a non-zero determinant have an inverse"""							)
         return self.adjugate() * (1 / determinant)


  def __repr__(      self		:			List[str]							)						->	str:


         """simple docstring"""
         return str(self.rows							)


  def __str__(      self		:			Optional[Any]							)						->	str:


         """simple docstring"""
         if self.num_rows == 0:
                return "[]"
         if self.num_rows == 1:
                return "[[" + ". ".join(str(self.rows[0]							)							) + "]]"
         return (
             "["
             + "\n ".join(
                 [
                     """[""" + """. """.join([str(lowerCamelCase							) for value in row]							) + """.]"""
                     for row in self.rows
                 ]							)
             + "]"
         )


  def  lowerCamelCase       (      self		:			Tuple       ,				lowerCamelCase		:			list[int]       ,				lowerCamelCase		:			int | None = None							)						->	None:


         """simple docstring"""
         _UpperCAmelCase							=    TypeError("""Row must be a list containing all ints and/or floats"""							)
         if not isinstance(lowerCamelCase       ,				lowerCamelCase							):
                raise type_error
         for value in row:
                if not isinstance(lowerCamelCase       ,				(int, float)							):
                       raise type_error
         if len(lowerCamelCase							) != self.num_columns:
                raise ValueError(
                    """Row must be equal in length to the other rows in the matrix"""							)
         if position is None:
                self.rows.append(lowerCamelCase							)
         else:
                _UpperCAmelCase							=    self.rows[0:position] + [row] + self.rows[position:]


  def  lowerCamelCase       (      self		:			List[Any]       ,				lowerCamelCase		:			list[int]       ,				lowerCamelCase		:			int | None = None							)						->	None:


         """simple docstring"""
         _UpperCAmelCase							=    TypeError(
             """Column must be a list containing all ints and/or floats"""							)
         if not isinstance(lowerCamelCase       ,				lowerCamelCase							):
                raise type_error
         for value in column:
                if not isinstance(lowerCamelCase       ,				(int, float)							):
                       raise type_error
         if len(lowerCamelCase							) != self.num_rows:
                raise ValueError(
                    """Column must be equal in length to the other columns in the matrix"""							)
         if position is None:
                _UpperCAmelCase							=    [self.rows[i] + [column[i]] for i in range(self.num_rows							)]
         else:
                _UpperCAmelCase							=    [
                    self.rows[i][0:position] + [column[i]] + self.rows[i][position:]
                    for i in range(self.num_rows							)
                ]


  def __eq__(      self		:			Dict       ,				lowerCamelCase		:			object							)						->	bool:


         """simple docstring"""
         if not isinstance(lowerCamelCase       ,				lowerCamelCase							):
                return NotImplemented
         return self.rows == other.rows


  def __ne__(      self		:			List[str]       ,				lowerCamelCase		:			object							)						->	bool:


         """simple docstring"""
         return not self == other


  def __neg__(      self		:			Union[str, Any]							)						->	Matrix:


         """simple docstring"""
         return self * -1


  def __add__(      self		:			Any       ,				lowerCamelCase		:			Matrix							)						->	Matrix:


         """simple docstring"""
         if self.order != other.order:
                raise ValueError("""Addition requires matrices of the same order"""							)
         return Matrix(
             [
                 [self.rows[i][j] + other.rows[i][j] for j in range(self.num_columns							)]
                 for i in range(self.num_rows							)
             ]							)


  def __sub__(      self		:			Optional[Any]       ,				lowerCamelCase		:			Matrix							)						->	Matrix:


         """simple docstring"""
         if self.order != other.order:
                raise ValueError("""Subtraction requires matrices of the same order"""							)
         return Matrix(
             [
                 [self.rows[i][j] - other.rows[i][j] for j in range(self.num_columns							)]
                 for i in range(self.num_rows							)
             ]							)


  def __mul__(      self		:			List[Any]       ,				lowerCamelCase		:			Matrix | int | float							)						->	Matrix:


         """simple docstring"""
         if isinstance(lowerCamelCase       ,				(int, float)							):
                return Matrix(
                    [[int(element * other							) for element in row] for row in self.rows]							)
         elif isinstance(lowerCamelCase       ,				lowerCamelCase							):
                if self.num_columns != other.num_rows:
                       raise ValueError(
                           """The number of columns in the first matrix must """
                           """be equal to the number of rows in the second"""							)
                return Matrix(
                    [
                        [Matrix.dot_product(lowerCamelCase       ,				lowerCamelCase							) for column in other.columns()]
                        for row in self.rows
                    ]							)
         else:
                raise TypeError(
                    """A Matrix can only be multiplied by an int, float, or another matrix"""							)


  def __pow__(      self		:			Any       ,				lowerCamelCase		:			int							)						->	Matrix:


         """simple docstring"""
         if not isinstance(lowerCamelCase       ,				lowerCamelCase							):
                raise TypeError("""A Matrix can only be raised to the power of an int"""							)
         if not self.is_square:
                raise ValueError("""Only square matrices can be raised to a power"""							)
         if other == 0:
                return self.identity()
         if other < 0:
                if self.is_invertable():
                       return self.inverse() ** (-other)
                raise ValueError(
                    """Only invertable matrices can be raised to a negative power"""							)
         _UpperCAmelCase							=    self
         for _ in range(other - 1							):
                result *= self
         return result





  @classmethod
  def  lowerCamelCase       (      cls		:			Tuple       ,				lowerCamelCase		:			list[int]       ,				lowerCamelCase		:			list[int]							)						->	int:


         """simple docstring"""
         return sum(row[i] * column[i] for i in range(len(lowerCamelCase							)							)							)


if __name__ == "__main__":
  import doctest

  doctest.testmod()