

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


_SCREAMING_SNAKE_CASE							 =			-1 if torch_device == '''cpu''' else 0


@is_pipeline_test
class      lowerCamelCase_ (			unittest.TestCase):
 _lowerCAmelCase									=	MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING
 _lowerCAmelCase									=	TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING




 def     a       (			self  ,  _UpperCAmelCase  ,  _UpperCAmelCase  ,  _UpperCAmelCase							):
   __UpperCAmelCase	:  int		=     SummarizationPipeline(model=_UpperCAmelCase  ,  tokenizer=_UpperCAmelCase							)
   return summarizer, ["(CNN)The Palestinian Authority officially became", "Some other text"]




 def     a       (			self  ,  _UpperCAmelCase  ,  _UpperCAmelCase							):
   __UpperCAmelCase	:  Dict		=     summarizer.model

   __UpperCAmelCase	:  Dict		=     summarizer('(CNN)The Palestinian Authority officially became'							)
   self.assertEqual(_UpperCAmelCase  ,  [{'summary_text': ANY(_UpperCAmelCase							)}]							)

   __UpperCAmelCase	:  Tuple		=     summarizer(
       '(CNN)The Palestinian Authority officially became '  ,  num_beams=2  ,  min_length=2  ,  max_length=5  ,  )
   self.assertEqual(_UpperCAmelCase  ,  [{'summary_text': ANY(_UpperCAmelCase							)}]							)

   # Some models (Switch Transformers, LED, T5, LongT5, etc) can handle long sequences.
   __UpperCAmelCase	:  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(_UpperCAmelCase  ,  _UpperCAmelCase							)
         and get_gpu_count() > 0
         and len(summarizer.model.trainable_weights							) > 0
     ):
       with self.assertRaises(_UpperCAmelCase							):
         __UpperCAmelCase	:  str		=     summarizer('This ' * 1_000							)
   __UpperCAmelCase	:  List[Any]		=     summarizer('This ' * 1_000  ,  truncation=TruncationStrategy.ONLY_FIRST							)




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




 @require_tf
 def     a       (			self							):
   __UpperCAmelCase	:  Optional[int]		=     pipeline(task='summarization'  ,  model='sshleifer/tiny-mbart'  ,  framework='tf'							)
   __UpperCAmelCase	:  Any		=     summarizer('This is a small test'							)
   self.assertEqual(
       _UpperCAmelCase  ,  [
           {
               'summary_text': 'เข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไป'
           }
       ]  ,  )




 @require_torch
 @slow
 def     a       (			self							):
   __UpperCAmelCase	:  List[Any]		=     pipeline(task='summarization'  ,  device=_UpperCAmelCase							)
   __UpperCAmelCase	:  int		=     (
       ' (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.'
   )
   __UpperCAmelCase	:  List[Any]		=     (
       ' 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 .'
   )
   __UpperCAmelCase	:  List[Any]		=     summarizer(_UpperCAmelCase							)
   self.assertEqual(result[0]['summary_text']  ,  _UpperCAmelCase							)








import inspect
import json
import os
import tempfile
import unittest

from transformers.models.speech_to_text_a import SpeechaTextaTokenizer
from transformers.models.speech_to_text_a.tokenization_speech_to_text_a import VOCAB_FILES_NAMES

from ...test_tokenization_common import TokenizerTesterMixin


class      lowerCamelCase_ (			_lowerCAmelCase	,				unittest.TestCase):
 _lowerCAmelCase									=	SpeechaTextaTokenizer
 _lowerCAmelCase									=	False




 def     a       (			self							):
   super().setUp()

   __UpperCAmelCase	:  List[Any]		=     '<s> <pad> </s> <unk> here@@ a couple of@@ words for the he@@ re@@ vocab'.split(' '							)
   __UpperCAmelCase	:  Dict		=     ['he re</w> 123', 'here a 1456']
   __UpperCAmelCase	:  Optional[int]		=     dict(zip(_UpperCAmelCase  ,  range(len(_UpperCAmelCase							)							)							)							)

   __UpperCAmelCase	:  List[Any]		=     {'pad_token': '<pad>', 'unk_token': '<unk>', 'bos_token': '<s>', 'eos_token': '</s>'}

   __UpperCAmelCase	:  Tuple		=     tempfile.mkdtemp()
   __UpperCAmelCase	:  str		=     os.path.join(self.tmpdirname  ,  VOCAB_FILES_NAMES['vocab_file']							)
   __UpperCAmelCase	:  List[Any]		=     os.path.join(self.tmpdirname  ,  VOCAB_FILES_NAMES['merges_file']							)

   with open(self.vocab_file  ,  'w'  ,  encoding='utf-8'							) as fp:
     fp.write(json.dumps(_UpperCAmelCase							) + '\n'							)

   with open(self.merges_file  ,  'w'							) as fp:
     fp.write('\n'.join(_UpperCAmelCase							)							)




 def     a       (			self							):
   __UpperCAmelCase	:  int		=     list(self.get_tokenizer().get_vocab().keys()							)

   self.assertEqual(vocab_keys[0]  ,  '<s>'							)
   self.assertEqual(vocab_keys[1]  ,  '<pad>'							)
   self.assertEqual(vocab_keys[-1]  ,  'vocab'							)
   self.assertEqual(len(_UpperCAmelCase							)  ,  14							)




 def     a       (			self							):
   self.assertEqual(self.get_tokenizer().vocab_size  ,  14							)




 def     a       (			self							):
   __UpperCAmelCase	:  int		=     SpeechaTextaTokenizer.from_pretrained(self.tmpdirname							)

   # make sure @@ is correctly concatenated
   __UpperCAmelCase	:  int		=     [4, 6, 8, 7, 10]  # ["here@@", "couple", "words", "of@@", "the"]
   __UpperCAmelCase	:  List[str]		=     tokenizer.decode(_UpperCAmelCase							)

   self.assertTrue(output_string == 'herecouple words ofthe'							)




 def     a       (			self							):
   __UpperCAmelCase	:  Union[str, Any]		=     SpeechaTextaTokenizer.from_pretrained(self.tmpdirname							)

   with tempfile.TemporaryDirectory() as tmp_dirname:
     tokenizer.save_pretrained(_UpperCAmelCase							)
     os.remove(os.path.join(_UpperCAmelCase  ,  'merges.txt'							)							)

     # load tokenizer without merges file should not throw an error
     __UpperCAmelCase	:  Optional[int]		=     SpeechaTextaTokenizer.from_pretrained(_UpperCAmelCase							)

   with tempfile.TemporaryDirectory() as tmp_dirname:
     # save tokenizer and load again
     tokenizer.save_pretrained(_UpperCAmelCase							)
     __UpperCAmelCase	:  Optional[int]		=     SpeechaTextaTokenizer.from_pretrained(_UpperCAmelCase							)

   self.assertIsNotNone(_UpperCAmelCase							)




 def     a       (			self							):
   if not self.test_slow_tokenizer:
     return

   __UpperCAmelCase	:  List[Any]		=     inspect.signature(self.tokenizer_class.__init__							)
   __UpperCAmelCase	:  List[Any]		=     self.get_tokenizer()

   for parameter_name, parameter in signature.parameters.items():
     if parameter.default != inspect.Parameter.empty and parameter_name != "merges_file":
       self.assertIn(_UpperCAmelCase  ,  tokenizer.init_kwargs							)





