





'''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)
lowercase__       : List[Any]         =       logging.getLogger()






def 			_lowerCAmelCase     (    __snake_case    :					Path					,				__snake_case    :					list     )	->	List[str]:
     __A		:					Tuple						=			'\n'.join(__snake_case     )
     Path(__snake_case     ).open('w'     ).writelines(__snake_case     )


lowercase__       : Optional[Any]         =       '''patrickvonplaten/t5-tiny-random'''
lowercase__       : List[Any]         =       '''sshleifer/bart-tiny-random'''
lowercase__       : Optional[Any]         =       '''sshleifer/tiny-mbart'''

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







class 					SCREAMING_SNAKE_CASE       (a__				):


     def 				SCREAMING_SNAKE_CASE    (		self		,      _UpperCAmelCase):

          '''simple docstring'''






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

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

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


     def 				SCREAMING_SNAKE_CASE    (		self):

          '''simple docstring'''






          self.run_eval_tester(_UpperCAmelCase)


     @parameterized.expand([BART_TINY, MBART_TINY])
     @slow
     def 				SCREAMING_SNAKE_CASE    (		self		,      _UpperCAmelCase):

          '''simple docstring'''






          self.run_eval_tester(_UpperCAmelCase)


     @parameterized.expand([T5_TINY, MBART_TINY])
     @slow
     def 				SCREAMING_SNAKE_CASE    (		self		,      _UpperCAmelCase):

          '''simple docstring'''






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

          __A		:					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!',
              ],
          }

          __A		:					Dict						=			Path(self.get_auto_remove_tmp_dir())
          __A		:					str						=			str(tmp_dir / 'scores.json')
          __A		:					int						=			str(tmp_dir / 'val.target')
          _dump_articles(_UpperCAmelCase		,      text['en'])
          _dump_articles(_UpperCAmelCase		,      text['de'])
          __A		:					Optional[int]						=			'translation_en_to_de' if model == T5_TINY else 'summarization'
          __A		:					int						=			F'\n            run_eval_search.py\n            {model}\n            {str(_UpperCAmelCase)}\n            {str(_UpperCAmelCase)}\n            --score_path {score_path}\n            --reference_path {reference_path}\n            --task {task}\n            '.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()
               __A		:					str						=			[' num_beams | length_penalty', model, 'Best score args']
               __A		:					List[Any]						=			['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))




def A    (							__UpperCamelCase			,						__UpperCamelCase       )    ->   Optional[int]:
			A__	  =     0
			A__	  =     len(__UpperCamelCase       ) - 1

			while left <= right:
						# avoid divided by 0 during interpolation
						if sorted_collection[left] == sorted_collection[right]:
									if sorted_collection[left] == item:
												return left
									else:
												return None

						A__	  =     left + ((item - sorted_collection[left]) * (right - left)) // (
						    sorted_collection[right] - sorted_collection[left]
						)

						# out of range check
						if point < 0 or point >= len(__UpperCamelCase       ):
									return None

						A__	  =     sorted_collection[point]
						if current_item == item:
									return point
						else:
									if point < left:
												A__	  =     left
												A__	  =     point
									elif point > right:
												A__	  =     right
												A__	  =     point
									else:
												if item < current_item:
															A__	  =     point - 1
												else:
															A__	  =     point + 1
			return None


def A    (							__UpperCamelCase			,						__UpperCamelCase			,						__UpperCamelCase			,						__UpperCamelCase       )    ->   int:

			# avoid divided by 0 during interpolation
			if sorted_collection[left] == sorted_collection[right]:
						if sorted_collection[left] == item:
									return left
						else:
									return None

			A__	  =     left + ((item - sorted_collection[left]) * (right - left)) // (
			    sorted_collection[right] - sorted_collection[left]
			)

			# out of range check
			if point < 0 or point >= len(__UpperCamelCase       ):
						return None

			if sorted_collection[point] == item:
						return point
			elif point < left:
						return interpolation_search_by_recursion(__UpperCamelCase			,						__UpperCamelCase			,						__UpperCamelCase			,						__UpperCamelCase       )
			elif point > right:
						return interpolation_search_by_recursion(__UpperCamelCase			,						__UpperCamelCase			,						__UpperCamelCase			,						__UpperCamelCase       )
			else:
						if sorted_collection[point] > item:
									return interpolation_search_by_recursion(
									    __UpperCamelCase			,						__UpperCamelCase			,						__UpperCamelCase			,						point - 1       )
						else:
									return interpolation_search_by_recursion(
									    __UpperCamelCase			,						__UpperCamelCase			,						point + 1			,						__UpperCamelCase       )


def A    (							__UpperCamelCase       )    ->   List[str]:
			if collection != sorted(__UpperCamelCase       ):
						raise ValueError('Collection must be ascending sorted'       )
			return True


if __name__ == "__main__":
							import sys
							SCREAMING_SNAKE_CASE__   			=   0
							if debug == 1:
														SCREAMING_SNAKE_CASE__   			=   [1_0, 3_0, 4_0, 4_5, 5_0, 6_6, 7_7, 9_3]
														try:
																					__assert_sorted(collection)
														except ValueError:
																					sys.exit('''Sequence must be ascending sorted to apply interpolation search''')
														SCREAMING_SNAKE_CASE__   			=   6_7

							SCREAMING_SNAKE_CASE__   			=   interpolation_search(collection, target)
							if result is not None:
														print(f'{target} found at positions: {result}')
							else:
														print('''Not found''')




