





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)
_lowerCamelCase      							=   logging.getLogger()




def  __UpperCAmelCase(   lowercase_			,     lowercase_   ):
       _lowerCamelCase				:  int						=		'''\n'''.join(lowercase_   )
       Path(lowercase_   ).open('''w'''   ).writelines(lowercase_   )


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

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







class       __A							(   lowerCamelCase__	):




      """simple docstring"""







      def 					__snake_case      (		self   ,				a__):



             """simple docstring"""





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

             _lowerCamelCase				:  Tuple						=		str(Path(self.get_auto_remove_tmp_dir()) / '''scores.json''')
             _lowerCamelCase				:  str						=		'''translation_en_to_de''' if model == T5_TINY else '''summarization'''
             _lowerCamelCase				:  Optional[Any]						=		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(a__   ,				'''argv'''   ,				a__):
                    run_generate()
                    assert Path(a__).exists()
                    # os.remove(Path(output_file_name))


      def 					__snake_case      (		self):



             """simple docstring"""





             self.run_eval_tester(a__)


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



             """simple docstring"""





             self.run_eval_tester(a__)



      @parameterized.expand([T5_TINY, MBART_TINY])
      @slow
      def 					__snake_case      (		self   ,				a__):



             """simple docstring"""





             _lowerCamelCase				:  str						=		Path(self.get_auto_remove_tmp_dir()) / '''utest_input.source'''
             _lowerCamelCase				:  str						=		input_file_name.parent / '''utest_output.txt'''
             assert not output_file_name.exists()

             _lowerCamelCase				:  Dict						=		{
                 '''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!''',
                 ],
             }

             _lowerCamelCase				:  Dict						=		Path(self.get_auto_remove_tmp_dir())
             _lowerCamelCase				:  Union[str, Any]						=		str(tmp_dir / '''scores.json''')
             _lowerCamelCase				:  Tuple						=		str(tmp_dir / '''val.target''')
             _dump_articles(a__   ,				text['''en'''])
             _dump_articles(a__   ,				text['''de'''])
             _lowerCamelCase				:  List[str]						=		'''translation_en_to_de''' if model == T5_TINY else '''summarization'''
             _lowerCamelCase				:  int						=		F"""
            run_eval_search.py
            {model}
            {str(a__)}
            {str(a__)}
            --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(a__   ,				'''argv'''   ,				a__):
                    with CaptureStdout() as cs:
                           run_search()
                    _lowerCamelCase				:  str						=		[''' num_beams | length_penalty''', model, '''Best score args''']
                    _lowerCamelCase				:  Union[str, Any]						=		['''Info''']
                    if "translation" in task:
                           expected_strings.append('''bleu''')
                    else:
                           expected_strings.extend(a__)
                    for w in expected_strings:
                           assert w in cs.out
                    for w in un_expected_strings:
                           assert w not in cs.out
                    assert Path(a__).exists()
                    os.remove(Path(a__))








import mpmath  # for roots of unity
import numpy as np







class       __A							:




      """simple docstring"""







      def __init__(		self   ,				a__=None   ,				a__=None):



             """simple docstring"""





             _lowerCamelCase				:  List[str]						=		list(poly_a or [0])[:]
             _lowerCamelCase				:  Union[str, Any]						=		list(poly_b or [0])[:]

             # Remove leading zero coefficients
             while self.polyA[-1] == 0:
                    self.polyA.pop()
             _lowerCamelCase				:  Optional[int]						=		len(self.polyA)

             while self.polyB[-1] == 0:
                    self.polyB.pop()
             _lowerCamelCase				:  Any						=		len(self.polyB)

             # Add 0 to make lengths equal a power of 2
             _lowerCamelCase				:  Dict						=		int(
                 2 ** np.ceil(np.loga(len(self.polyA) + len(self.polyB) - 1)))

             while len(self.polyA) < self.c_max_length:
                    self.polyA.append(0)
             while len(self.polyB) < self.c_max_length:
                    self.polyB.append(0)
             # A complex root used for the fourier transform
             _lowerCamelCase				:  int						=		complex(mpmath.root(x=1   ,				n=self.c_max_length   ,				k=1))

             # The product
             _lowerCamelCase				:  Optional[int]						=		self.__multiply()


      def 					__snake_case      (		self   ,				a__):



             """simple docstring"""





             _lowerCamelCase				:  List[Any]						=		[[x] for x in self.polyA] if which == '''A''' else [[x] for x in self.polyB]
             # Corner case
             if len(a__) <= 1:
                    return dft[0]
             #
             _lowerCamelCase				:  Optional[Any]						=		self.c_max_length // 2
             while next_ncol > 0:
                    _lowerCamelCase				:  Optional[Any]						=		[[] for i in range(a__)]
                    _lowerCamelCase				:  List[str]						=		self.root**next_ncol

                    # First half of next step
                    _lowerCamelCase				:  Tuple						=		1
                    for j in range(self.c_max_length // (next_ncol * 2)):
                           for i in range(a__):
                                  new_dft[i].append(dft[i][j] + current_root * dft[i + next_ncol][j])
                           current_root *= root
                    # Second half of next step
                    _lowerCamelCase				:  Tuple						=		1
                    for j in range(self.c_max_length // (next_ncol * 2)):
                           for i in range(a__):
                                  new_dft[i].append(dft[i][j] - current_root * dft[i + next_ncol][j])
                           current_root *= root
                    # Update
                    _lowerCamelCase				:  Tuple						=		new_dft
                    _lowerCamelCase				:  Union[str, Any]						=		next_ncol // 2
             return dft[0]


      def 					__snake_case      (		self):



             """simple docstring"""





             _lowerCamelCase				:  Optional[int]						=		self.__dft('''A''')
             _lowerCamelCase				:  Optional[Any]						=		self.__dft('''B''')
             _lowerCamelCase				:  List[str]						=		[[dft_a[i] * dft_b[i] for i in range(self.c_max_length)]]
             del dft_a
             del dft_b

             # Corner Case
             if len(inverce_c[0]) <= 1:
                    return inverce_c[0]
             # Inverse DFT
             _lowerCamelCase				:  str						=		2
             while next_ncol <= self.c_max_length:
                    _lowerCamelCase				:  Optional[int]						=		[[] for i in range(a__)]
                    _lowerCamelCase				:  Dict						=		self.root ** (next_ncol // 2)
                    _lowerCamelCase				:  List[str]						=		1
                    # First half of next step
                    for j in range(self.c_max_length // next_ncol):
                           for i in range(next_ncol // 2):
                                  # Even positions
                                  new_inverse_c[i].append(
                                      (
                                          inverce_c[i][j]
                                          + inverce_c[i][j + self.c_max_length // next_ncol]
                                      )
                                      / 2)
                                  # Odd positions
                                  new_inverse_c[i + next_ncol // 2].append(
                                      (
                                          inverce_c[i][j]
                                          - inverce_c[i][j + self.c_max_length // next_ncol]
                                      )
                                      / (2 * current_root))
                           current_root *= root
                    # Update
                    _lowerCamelCase				:  Any						=		new_inverse_c
                    next_ncol *= 2
             # Unpack
             _lowerCamelCase				:  Optional[int]						=		[round(x[0].real   ,				8) + round(x[0].imag   ,				8) * 1j for x in inverce_c]

             # Remove leading 0's
             while inverce_c[-1] == 0:
                    inverce_c.pop()
             return inverce_c



      def __str__(		self):



             """simple docstring"""





             _lowerCamelCase				:  Union[str, Any]						=		'''A = ''' + ''' + '''.join(
                 F"""{coef}*x^{i}""" for coef, i in enumerate(self.polyA[: self.len_A]))
             _lowerCamelCase				:  List[str]						=		'''B = ''' + ''' + '''.join(
                 F"""{coef}*x^{i}""" for coef, i in enumerate(self.polyB[: self.len_B]))
             _lowerCamelCase				:  Tuple						=		'''A*B = ''' + ''' + '''.join(
                 F"""{coef}*x^{i}""" for coef, i in enumerate(self.product))

             return F"""{a}\n{b}\n{c}"""


# Unit tests
if __name__ == "__main__":
       import doctest

       doctest.testmod()

