





'''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))






'''simple docstring'''




from __future__ import annotations

import math


class 					SCREAMING_SNAKE_CASE       :


     def __init__(		self		,      _UpperCAmelCase):

          '''simple docstring'''






          __A		:					int						=			size
          # approximate the overall size of segment tree with given value
          __A		:					Optional[Any]						=			[0 for i in range(0		,      4 * size)]
          # create array to store lazy update
          __A		:					Optional[Any]						=			[0 for i in range(0		,      4 * size)]
          __A		:					str						=			[0 for i in range(0		,      4 * size)]  # flag for lazy update


     def 				SCREAMING_SNAKE_CASE    (		self		,      _UpperCAmelCase):

          '''simple docstring'''






          return idx * 2


     def 				SCREAMING_SNAKE_CASE    (		self		,      _UpperCAmelCase):

          '''simple docstring'''






          return idx * 2 + 1


     def 				SCREAMING_SNAKE_CASE    (		self		,      _UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase):

          '''simple docstring'''






          if left_element == right_element:
               __A		:					List[Any]						=			a[left_element - 1]
          else:
               __A		:					List[str]						=			(left_element + right_element) // 2
               self.build(self.left(_UpperCAmelCase)		,      _UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase)
               self.build(self.right(_UpperCAmelCase)		,      mid + 1		,      _UpperCAmelCase		,      _UpperCAmelCase)
               __A		:					Any						=			max(
                   self.segment_tree[self.left(_UpperCAmelCase)]		,      self.segment_tree[self.right(_UpperCAmelCase)])


     def 				SCREAMING_SNAKE_CASE    (		self		,      _UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase):

          '''simple docstring'''






          if self.flag[idx] is True:
               __A		:					Optional[Any]						=			self.lazy[idx]
               __A		:					Optional[Any]						=			False
               if left_element != right_element:
                    __A		:					List[Any]						=			self.lazy[idx]
                    __A		:					Dict						=			self.lazy[idx]
                    __A		:					Tuple						=			True
                    __A		:					Union[str, Any]						=			True

          if right_element < a or left_element > b:
               return True
          if left_element >= a and right_element <= b:
               __A		:					Optional[int]						=			val
               if left_element != right_element:
                    __A		:					Tuple						=			val
                    __A		:					Any						=			val
                    __A		:					Tuple						=			True
                    __A		:					Union[str, Any]						=			True
               return True
          __A		:					str						=			(left_element + right_element) // 2
          self.update(self.left(_UpperCAmelCase)		,      _UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase)
          self.update(self.right(_UpperCAmelCase)		,      mid + 1		,      _UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase)
          __A		:					int						=			max(
              self.segment_tree[self.left(_UpperCAmelCase)]		,      self.segment_tree[self.right(_UpperCAmelCase)])
          return True


     def 				SCREAMING_SNAKE_CASE    (		self		,      _UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase):

          '''simple docstring'''






          if self.flag[idx] is True:
               __A		:					Union[str, Any]						=			self.lazy[idx]
               __A		:					List[str]						=			False
               if left_element != right_element:
                    __A		:					Union[str, Any]						=			self.lazy[idx]
                    __A		:					Optional[int]						=			self.lazy[idx]
                    __A		:					str						=			True
                    __A		:					Union[str, Any]						=			True
          if right_element < a or left_element > b:
               return -math.inf
          if left_element >= a and right_element <= b:
               return self.segment_tree[idx]
          __A		:					Any						=			(left_element + right_element) // 2
          __A		:					int						=			self.query(self.left(_UpperCAmelCase)		,      _UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase)
          __A		:					Union[str, Any]						=			self.query(self.right(_UpperCAmelCase)		,      mid + 1		,      _UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase)
          return max(_UpperCAmelCase		,      _UpperCAmelCase)


     def __str__(		self):

          '''simple docstring'''






          return str([self.query(1		,      1		,      self.size		,      _UpperCAmelCase		,      _UpperCAmelCase) for i in range(1		,      self.size + 1)])


if __name__ == "__main__":
  lowercase__       : Union[str, Any]         =       [1, 2, -4, 7, 3, -5, 6, 11, -20, 9, 14, 15, 5, 2, -8]
  lowercase__       : str         =       15
  lowercase__       : List[Any]         =       SegmentTree(size)
  segt.build(1, 1, size, A)
  print(segt.query(1, 1, size, 4, 6))
  print(segt.query(1, 1, size, 7, 11))
  print(segt.query(1, 1, size, 7, 12))
  segt.update(1, 1, size, 1, 3, 1_11)
  print(segt.query(1, 1, size, 1, 15))
  segt.update(1, 1, size, 7, 8, 2_35)
  print(segt)