
import unittest

from transformers import (
    MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
    TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
    SummarizationPipeline,
    TFPreTrainedModel,
    pipeline,
)
from transformers.testing_utils import get_gpu_count, is_pipeline_test, require_tf, require_torch, slow, torch_device
from transformers.tokenization_utils import TruncationStrategy

from .test_pipelines_common import ANY


a__				:      List[Any]    		=     -1 if torch_device == """cpu""" else 0






@is_pipeline_test
class     a_       (			unittest.TestCase							):



       """simple docstring"""
       __SCREAMING_SNAKE_CASE       :					List[str]						=  MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING
       __SCREAMING_SNAKE_CASE       :					str						=  TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING






       def 	__lowerCAmelCase     (		self				,       _lowerCamelCase				,       _lowerCamelCase				,       _lowerCamelCase   )					->Union[str, Any]:
           SCREAMING_SNAKE_CASE				:				int				      = SummarizationPipeline(model=snake_case_				,       tokenizer=snake_case_   )
           return summarizer, ["(CNN)The Palestinian Authority officially became", "Some other text"]






       def 	__lowerCAmelCase     (		self				,       _lowerCamelCase				,       _lowerCamelCase   )					->Tuple:
           SCREAMING_SNAKE_CASE				:				str				      = summarizer.model

           SCREAMING_SNAKE_CASE				:				Optional[int]				      = summarizer('''(CNN)The Palestinian Authority officially became'''   )
           self.assertEqual(snake_case_				,       [{'''summary_text''': ANY(snake_case_   )}]   )

           SCREAMING_SNAKE_CASE				:				List[str]				      = summarizer(
               '''(CNN)The Palestinian Authority officially became '''				,       num_beams=2				,       min_length=2				,       max_length=5				,       )
           self.assertEqual(snake_case_				,       [{'''summary_text''': ANY(snake_case_   )}]   )

           # Some models (Switch Transformers, LED, T5, LongT5, etc) can handle long sequences.
           SCREAMING_SNAKE_CASE				:				Tuple				      = [
               "SwitchTransformersConfig",
               "T5Config",
               "LongT5Config",
               "LEDConfig",
               "PegasusXConfig",
               "FSMTConfig",
               "M2M100Config",
               "ProphetNetConfig",  # positional embeddings up to a fixed maximum size (otherwise clamping the values)
           ]
           if model.config.__class__.__name__ not in model_can_handle_longer_seq:
               # Too long and exception is expected.
               # For TF models, if the weights are initialized in GPU context, we won't get expected index error from
               # the embedding layer.
               if not (
                   isinstance(snake_case_				,       snake_case_   )
                   and get_gpu_count() > 0
                   and len(summarizer.model.trainable_weights   ) > 0
               ):
                   with self.assertRaises(snake_case_   ):
                       SCREAMING_SNAKE_CASE				:				Tuple				      = summarizer('''This ''' * 1000   )
           SCREAMING_SNAKE_CASE				:				Any				      = summarizer('''This ''' * 1000				,       truncation=TruncationStrategy.ONLY_FIRST   )






       @require_torch
       def 	__lowerCAmelCase     (		self   )					->Union[str, Any]:
           SCREAMING_SNAKE_CASE				:				List[Any]				      = pipeline(task='''summarization'''				,       model='''sshleifer/tiny-mbart'''				,       framework='''pt'''   )
           SCREAMING_SNAKE_CASE				:				List[Any]				      = summarizer('''This is a small test'''   )
           self.assertEqual(
               snake_case_				,       [
                   {
                       '''summary_text''': '''เข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไป'''
                   }
               ]				,       )






       @require_tf
       def 	__lowerCAmelCase     (		self   )					->Optional[Any]:
           SCREAMING_SNAKE_CASE				:				Dict				      = pipeline(task='''summarization'''				,       model='''sshleifer/tiny-mbart'''				,       framework='''tf'''   )
           SCREAMING_SNAKE_CASE				:				Union[str, Any]				      = summarizer('''This is a small test'''   )
           self.assertEqual(
               snake_case_				,       [
                   {
                       '''summary_text''': '''เข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไป'''
                   }
               ]				,       )






       @require_torch
       @slow
       def 	__lowerCAmelCase     (		self   )					->Tuple:
           SCREAMING_SNAKE_CASE				:				Tuple				      = pipeline(task='''summarization'''				,       device=snake_case_   )
           SCREAMING_SNAKE_CASE				:				Any				      = (
               " (CNN)The Palestinian Authority officially became the 123rd member of the International Criminal Court on"
               " Wednesday, a step that gives the court jurisdiction over alleged crimes in Palestinian territories. The"
               " formal accession was marked with a ceremony at The Hague, in the Netherlands, where the court is based."
               " The Palestinians signed the ICC's founding Rome Statute in January, when they also accepted its"
               " jurisdiction over alleged crimes committed \"in the occupied Palestinian territory, including East"
               " Jerusalem, since June 13, 2014.\" Later that month, the ICC opened a preliminary examination into the"
               " situation in Palestinian territories, paving the way for possible war crimes investigations against"
               " Israelis. As members of the court, Palestinians may be subject to counter-charges as well. Israel and"
               " the United States, neither of which is an ICC member, opposed the Palestinians' efforts to join the"
               " body. But Palestinian Foreign Minister Riad al-Malki, speaking at Wednesday's ceremony, said it was a"
               " move toward greater justice. \"As Palestine formally becomes a State Party to the Rome Statute today, the"
               " world is also a step closer to ending a long era of impunity and injustice,\" he said, according to an"
               " ICC news release. \"Indeed, today brings us closer to our shared goals of justice and peace.\" Judge"
               " Kuniko Ozaki, a vice president of the ICC, said acceding to the treaty was just the first step for the"
               " Palestinians. \"As the Rome Statute today enters into force for the State of Palestine, Palestine"
               " acquires all the rights as well as responsibilities that come with being a State Party to the Statute."
               " These are substantive commitments, which cannot be taken lightly,\" she said. Rights group Human Rights"
               " Watch welcomed the development. \"Governments seeking to penalize Palestine for joining the ICC should"
               " immediately end their pressure, and countries that support universal acceptance of the court's treaty"
               " should speak out to welcome its membership,\" said Balkees Jarrah, international justice counsel for the"
               " group. \"What's objectionable is the attempts to undermine international justice, not Palestine's"
               " decision to join a treaty to which over 100 countries around the world are members.\" In January, when"
               " the preliminary ICC examination was opened, Israeli Prime Minister Benjamin Netanyahu described it as an"
               " outrage, saying the court was overstepping its boundaries. The United States also said it \"strongly\""
               " disagreed with the court's decision. \"As we have said repeatedly, we do not believe that Palestine is a"
               " state and therefore we do not believe that it is eligible to join the ICC,\" the State Department said in"
               " a statement. It urged the warring sides to resolve their differences through direct negotiations. \"We"
               " will continue to oppose actions against Israel at the ICC as counterproductive to the cause of peace,\""
               " it said. But the ICC begs to differ with the definition of a state for its purposes and refers to the"
               " territories as \"Palestine.\" While a preliminary examination is not a formal investigation, it allows the"
               " court to review evidence and determine whether to investigate suspects on both sides. Prosecutor Fatou"
               " Bensouda said her office would \"conduct its analysis in full independence and impartiality.\" The war"
               " between Israel and Hamas militants in Gaza last summer left more than 2,000 people dead. The inquiry"
               " will include alleged war crimes committed since June. The International Criminal Court was set up in"
               " 2002 to prosecute genocide, crimes against humanity and war crimes. CNN's Vasco Cotovio, Kareem Khadder"
               " and Faith Karimi contributed to this report."
           )
           SCREAMING_SNAKE_CASE				:				int				      = (
               " The Palestinian Authority becomes the 123rd member of the International Criminal Court . The move gives"
               " the court jurisdiction over alleged crimes in Palestinian territories . Israel and the United States"
               " opposed the Palestinians' efforts to join the court . Rights group Human Rights Watch welcomes the move,"
               " says governments seeking to penalize Palestine should end pressure ."
           )
           SCREAMING_SNAKE_CASE				:				Union[str, Any]				      = summarizer(snake_case_   )
           self.assertEqual(result[0]['''summary_text''']				,       snake_case_   )


"""simple docstring"""
def 					a__ ( a :					str		):

  """simple docstring"""







  _snake_case  :    Tuple            = word.upper()
  _snake_case  :    List[Any]            = 0
  _snake_case  :    Any            = {}
  _snake_case  :    List[str]            = []

  for letter in word:
    if letter not in letter_nums:
      _snake_case  :    Optional[int]            = str(a		)
      next_num += 1
    word_pattern.append(letter_nums[letter]		)
  return ".".join(a		)


if __name__ == "__main__":
    import pprint
    import time

    _a   :      str       =				time.time()
    with open("""dictionary.txt""") as in_file:
        _a   :      Optional[int]       =				in_file.read().splitlines()

    _a   :      dict       =				{}
    for word in word_list:
        _a   :      Optional[Any]       =				get_word_pattern(word)
        if pattern in all_patterns:
            all_patterns[pattern].append(word)
        else:
            _a   :      List[Any]       =				[word]

    with open("""word_patterns.txt""", """w""") as out_file:
        out_file.write(pprint.pformat(all_patterns))

    _a   :      List[Any]       =				round(time.time() - start_time, 2)
    print(f'Done!  {len(all_patterns):,} word patterns found in {total_time} seconds.')
    # Done!  9,581 word patterns found in 0.58 seconds.

