

import itertools
import json
import os
import unittest

from transformers import AddedToken, RobertaTokenizer, RobertaTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class 					__lowerCAmelCase	(   UpperCAmelCase__     ,     unittest.TestCase				):
  _a		     =    RobertaTokenizer
  _a		     =    RobertaTokenizerFast
  _a		     =    True
  _a		     =    {"""cls_token""": """<s>"""}




  def     A__	(							self   )    ->					Union[str, Any]:
        '''simple docstring'''






        super().setUp()

        # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
        _lowercase      			=[
            'l',
            'o',
            'w',
            'e',
            'r',
            's',
            't',
            'i',
            'd',
            'n',
            '\u0120',
            '\u0120l',
            '\u0120n',
            '\u0120lo',
            '\u0120low',
            'er',
            '\u0120lowest',
            '\u0120newer',
            '\u0120wider',
            '<unk>',
        ]
        _lowercase      			=dict(zip(_UpperCAmelCase				,  range(len(_UpperCAmelCase   )   )   )   )
        _lowercase      			=['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
        _lowercase      			={'unk_token': '<unk>'}

        _lowercase      			=os.path.join(self.tmpdirname				,  VOCAB_FILES_NAMES['vocab_file']   )
        _lowercase      			=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'				,  encoding='utf-8'   ) as fp:
              fp.write('\n'.join(_UpperCAmelCase   )   )




  def     A__	(							self				,  **lowerCAmelCase   )    ->					str:
        '''simple docstring'''






        kwargs.update(self.special_tokens_map   )
        return self.tokenizer_class.from_pretrained(self.tmpdirname				,  **_UpperCAmelCase   )




  def     A__	(							self				,  **lowerCAmelCase   )    ->					int:
        '''simple docstring'''






        kwargs.update(self.special_tokens_map   )
        return RobertaTokenizerFast.from_pretrained(self.tmpdirname				,  **_UpperCAmelCase   )




  def     A__	(							self				,  lowerCAmelCase   )    ->					Optional[Any]:
        '''simple docstring'''






        _lowercase      			='lower newer'
        _lowercase      			='lower newer'
        return input_text, output_text




  def     A__	(							self   )    ->					Any:
        '''simple docstring'''






        _lowercase      			=self.tokenizer_class(self.vocab_file				,  self.merges_file				,  **self.special_tokens_map   )
        _lowercase      			='lower newer'
        _lowercase      			=['l', 'o', 'w', 'er', '\u0120', 'n', 'e', 'w', 'er']
        _lowercase      			=tokenizer.tokenize(_UpperCAmelCase   )  # , add_prefix_space=True)
        self.assertListEqual(_UpperCAmelCase				,  _UpperCAmelCase   )

        _lowercase      			=tokens + [tokenizer.unk_token]
        _lowercase      			=[0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCAmelCase   )				,  _UpperCAmelCase   )




  def     A__	(							self   )    ->					List[Any]:
        '''simple docstring'''






        _lowercase      			=self.get_tokenizer()

        self.assertListEqual(tokenizer.encode('Hello world!'				,  add_special_tokens=_UpperCAmelCase   )				,  [0, 31_414, 232, 328, 2]   )
        self.assertListEqual(
            tokenizer.encode('Hello world! cécé herlolip 418'				,  add_special_tokens=_UpperCAmelCase   )				,  [0, 31_414, 232, 328, 740, 1_140, 12_695, 69, 46_078, 1_588, 2]				,  )




  @slow
  def     A__	(							self   )    ->					Any:
        '''simple docstring'''






        _lowercase      			=self.tokenizer_class.from_pretrained('roberta-base'   )

        _lowercase      			=tokenizer.encode('sequence builders'				,  add_special_tokens=_UpperCAmelCase   )
        _lowercase      			=tokenizer.encode('multi-sequence build'				,  add_special_tokens=_UpperCAmelCase   )

        _lowercase      			=tokenizer.encode(
            'sequence builders'				,  add_special_tokens=_UpperCAmelCase				,  add_prefix_space=_UpperCAmelCase   )
        _lowercase      			=tokenizer.encode(
            'sequence builders'				,  'multi-sequence build'				,  add_special_tokens=_UpperCAmelCase				,  add_prefix_space=_UpperCAmelCase   )

        _lowercase      			=tokenizer.build_inputs_with_special_tokens(_UpperCAmelCase   )
        _lowercase      			=tokenizer.build_inputs_with_special_tokens(_UpperCAmelCase				,  _UpperCAmelCase   )

        assert encoded_sentence == encoded_text_from_decode
        assert encoded_pair == encoded_pair_from_decode




  def     A__	(							self   )    ->					Union[str, Any]:
        '''simple docstring'''






        _lowercase      			=self.get_tokenizer()

        _lowercase      			='Encode this sequence.'
        _lowercase      			=tokenizer.byte_encoder[' '.encode('utf-8'   )[0]]

        # Testing encoder arguments
        _lowercase      			=tokenizer.encode(_UpperCAmelCase				,  add_special_tokens=_UpperCAmelCase				,  add_prefix_space=_UpperCAmelCase   )
        _lowercase      			=tokenizer.convert_ids_to_tokens(encoded[0]   )[0]
        self.assertNotEqual(_UpperCAmelCase				,  _UpperCAmelCase   )

        _lowercase      			=tokenizer.encode(_UpperCAmelCase				,  add_special_tokens=_UpperCAmelCase				,  add_prefix_space=_UpperCAmelCase   )
        _lowercase      			=tokenizer.convert_ids_to_tokens(encoded[0]   )[0]
        self.assertEqual(_UpperCAmelCase				,  _UpperCAmelCase   )

        tokenizer.add_special_tokens({'bos_token': '<s>'}   )
        _lowercase      			=tokenizer.encode(_UpperCAmelCase				,  add_special_tokens=_UpperCAmelCase   )
        _lowercase      			=tokenizer.convert_ids_to_tokens(encoded[1]   )[0]
        self.assertNotEqual(_UpperCAmelCase				,  _UpperCAmelCase   )

        # Testing spaces after special tokens
        _lowercase      			='<mask>'
        tokenizer.add_special_tokens(
            {'mask_token': AddedToken(_UpperCAmelCase				,  lstrip=_UpperCAmelCase				,  rstrip=_UpperCAmelCase   )}   )  # mask token has a left space
        _lowercase      			=tokenizer.convert_tokens_to_ids(_UpperCAmelCase   )

        _lowercase      			='Encode <mask> sequence'
        _lowercase      			='Encode <mask>sequence'

        _lowercase      			=tokenizer.encode(_UpperCAmelCase   )
        _lowercase      			=encoded.index(_UpperCAmelCase   )
        _lowercase      			=tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]   )[0]
        self.assertEqual(_UpperCAmelCase				,  _UpperCAmelCase   )

        _lowercase      			=tokenizer.encode(_UpperCAmelCase   )
        _lowercase      			=encoded.index(_UpperCAmelCase   )
        _lowercase      			=tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]   )[0]
        self.assertNotEqual(_UpperCAmelCase				,  _UpperCAmelCase   )




  def     A__	(							self   )    ->					Dict:
        '''simple docstring'''






        pass




  def     A__	(							self   )    ->					Union[str, Any]:
        '''simple docstring'''






        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
              with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''   ):
                    _lowercase      			=self.rust_tokenizer_class.from_pretrained(_UpperCAmelCase				,  **_UpperCAmelCase   )
                    _lowercase      			=self.tokenizer_class.from_pretrained(_UpperCAmelCase				,  **_UpperCAmelCase   )
                    _lowercase      			='A, <mask> AllenNLP sentence.'
                    _lowercase      			=tokenizer_r.encode_plus(_UpperCAmelCase				,  add_special_tokens=_UpperCAmelCase				,  return_token_type_ids=_UpperCAmelCase   )
                    _lowercase      			=tokenizer_p.encode_plus(_UpperCAmelCase				,  add_special_tokens=_UpperCAmelCase				,  return_token_type_ids=_UpperCAmelCase   )

                    # token_type_ids should put 0 everywhere
                    self.assertEqual(sum(tokens_r['token_type_ids']   )				,  sum(tokens_p['token_type_ids']   )   )

                    # attention_mask should put 1 everywhere, so sum over length should be 1
                    self.assertEqual(
                        sum(tokens_r['attention_mask']   ) / len(tokens_r['attention_mask']   )				,  sum(tokens_p['attention_mask']   ) / len(tokens_p['attention_mask']   )				,  )

                    _lowercase      			=tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids']   )
                    _lowercase      			=tokenizer_p.convert_ids_to_tokens(tokens_p['input_ids']   )

                    # Rust correctly handles the space before the mask while python doesnt
                    self.assertSequenceEqual(tokens_p['input_ids']				,  [0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]   )
                    self.assertSequenceEqual(tokens_r['input_ids']				,  [0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]   )

                    self.assertSequenceEqual(
                        _UpperCAmelCase				,  ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']   )
                    self.assertSequenceEqual(
                        _UpperCAmelCase				,  ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']   )




  def     A__	(							self   )    ->					List[str]:
        '''simple docstring'''






        for trim_offsets, add_prefix_space in itertools.product([True, False]				,  repeat=2   ):
              _lowercase      			=self.rust_tokenizer_class.from_pretrained(
                  self.tmpdirname				,  use_fast=_UpperCAmelCase				,  add_prefix_space=_UpperCAmelCase				,  trim_offsets=_UpperCAmelCase   )

              _lowercase      			=json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()   )
              _lowercase      			=json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()   )

              self.assertEqual(pre_tokenizer_state['add_prefix_space']				,  _UpperCAmelCase   )

              self.assertEqual(post_processor_state['add_prefix_space']				,  _UpperCAmelCase   )
              self.assertEqual(post_processor_state['trim_offsets']				,  _UpperCAmelCase   )




  def     A__	(							self   )    ->					Any:
        '''simple docstring'''






        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
              with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''   ):
                    _lowercase      			='hello'  # `hello` is a token in the vocabulary of `pretrained_name`
                    _lowercase      			=F'''{text_of_1_token} {text_of_1_token}'''

                    _lowercase      			=self.rust_tokenizer_class.from_pretrained(
                        _UpperCAmelCase				,  use_fast=_UpperCAmelCase				,  add_prefix_space=_UpperCAmelCase				,  trim_offsets=_UpperCAmelCase   )
                    _lowercase      			=tokenizer_r(_UpperCAmelCase				,  return_offsets_mapping=_UpperCAmelCase				,  add_special_tokens=_UpperCAmelCase   )
                    self.assertEqual(encoding.offset_mapping[0]				,  (0, len(_UpperCAmelCase   ))   )
                    self.assertEqual(
                        encoding.offset_mapping[1]				,  (len(_UpperCAmelCase   ) + 1, len(_UpperCAmelCase   ) + 1 + len(_UpperCAmelCase   ))				,  )

                    _lowercase      			=self.rust_tokenizer_class.from_pretrained(
                        _UpperCAmelCase				,  use_fast=_UpperCAmelCase				,  add_prefix_space=_UpperCAmelCase				,  trim_offsets=_UpperCAmelCase   )
                    _lowercase      			=tokenizer_r(_UpperCAmelCase				,  return_offsets_mapping=_UpperCAmelCase				,  add_special_tokens=_UpperCAmelCase   )
                    self.assertEqual(encoding.offset_mapping[0]				,  (0, len(_UpperCAmelCase   ))   )
                    self.assertEqual(
                        encoding.offset_mapping[1]				,  (len(_UpperCAmelCase   ) + 1, len(_UpperCAmelCase   ) + 1 + len(_UpperCAmelCase   ))				,  )

                    _lowercase      			=self.rust_tokenizer_class.from_pretrained(
                        _UpperCAmelCase				,  use_fast=_UpperCAmelCase				,  add_prefix_space=_UpperCAmelCase				,  trim_offsets=_UpperCAmelCase   )
                    _lowercase      			=tokenizer_r(_UpperCAmelCase				,  return_offsets_mapping=_UpperCAmelCase				,  add_special_tokens=_UpperCAmelCase   )
                    self.assertEqual(encoding.offset_mapping[0]				,  (0, len(_UpperCAmelCase   ))   )
                    self.assertEqual(
                        encoding.offset_mapping[1]				,  (len(_UpperCAmelCase   ), len(_UpperCAmelCase   ) + 1 + len(_UpperCAmelCase   ))				,  )

                    _lowercase      			=self.rust_tokenizer_class.from_pretrained(
                        _UpperCAmelCase				,  use_fast=_UpperCAmelCase				,  add_prefix_space=_UpperCAmelCase				,  trim_offsets=_UpperCAmelCase   )
                    _lowercase      			=tokenizer_r(_UpperCAmelCase				,  return_offsets_mapping=_UpperCAmelCase				,  add_special_tokens=_UpperCAmelCase   )
                    self.assertEqual(encoding.offset_mapping[0]				,  (0, len(_UpperCAmelCase   ))   )
                    self.assertEqual(
                        encoding.offset_mapping[1]				,  (len(_UpperCAmelCase   ), len(_UpperCAmelCase   ) + 1 + len(_UpperCAmelCase   ))				,  )

                    _lowercase      			=F''' {text}'''

                    # tokenizer_r = self.rust_tokenizer_class.from_pretrained(
                    #     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
                    # )
                    # encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
                    # self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
                    # self.assertEqual(
                    #     encoding.offset_mapping[1],
                    #     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
                    # )

                    _lowercase      			=self.rust_tokenizer_class.from_pretrained(
                        _UpperCAmelCase				,  use_fast=_UpperCAmelCase				,  add_prefix_space=_UpperCAmelCase				,  trim_offsets=_UpperCAmelCase   )
                    _lowercase      			=tokenizer_r(_UpperCAmelCase				,  return_offsets_mapping=_UpperCAmelCase				,  add_special_tokens=_UpperCAmelCase   )
                    self.assertEqual(encoding.offset_mapping[0]				,  (1, 1 + len(_UpperCAmelCase   ))   )
                    self.assertEqual(
                        encoding.offset_mapping[1]				,  (1 + len(_UpperCAmelCase   ) + 1, 1 + len(_UpperCAmelCase   ) + 1 + len(_UpperCAmelCase   ))				,  )

                    _lowercase      			=self.rust_tokenizer_class.from_pretrained(
                        _UpperCAmelCase				,  use_fast=_UpperCAmelCase				,  add_prefix_space=_UpperCAmelCase				,  trim_offsets=_UpperCAmelCase   )
                    _lowercase      			=tokenizer_r(_UpperCAmelCase				,  return_offsets_mapping=_UpperCAmelCase				,  add_special_tokens=_UpperCAmelCase   )
                    self.assertEqual(encoding.offset_mapping[0]				,  (0, 1 + len(_UpperCAmelCase   ))   )
                    self.assertEqual(
                        encoding.offset_mapping[1]				,  (1 + len(_UpperCAmelCase   ), 1 + len(_UpperCAmelCase   ) + 1 + len(_UpperCAmelCase   ))				,  )

                    _lowercase      			=self.rust_tokenizer_class.from_pretrained(
                        _UpperCAmelCase				,  use_fast=_UpperCAmelCase				,  add_prefix_space=_UpperCAmelCase				,  trim_offsets=_UpperCAmelCase   )
                    _lowercase      			=tokenizer_r(_UpperCAmelCase				,  return_offsets_mapping=_UpperCAmelCase				,  add_special_tokens=_UpperCAmelCase   )
                    self.assertEqual(encoding.offset_mapping[0]				,  (0, 1 + len(_UpperCAmelCase   ))   )
                    self.assertEqual(
                        encoding.offset_mapping[1]				,  (1 + len(_UpperCAmelCase   ), 1 + len(_UpperCAmelCase   ) + 1 + len(_UpperCAmelCase   ))				,  )






import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links






def 					UpperCamelCase   (      __magic_name__	:				Dict       ,       __magic_name__	:				List[str]=7	)  ->    Dict:
		"""simple docstring"""




		lowercase__	     =						None
		if token is not None:
				lowercase__	     =						{"""Accept""": """application/vnd.github+json""", """Authorization""": f'''Bearer {token}'''}

		# The id of a workflow (not of a workflow run)
		lowercase__	     =						"""636036"""

		lowercase__	     =						f'''https://api.github.com/repos/huggingface/transformers/actions/workflows/{workflow_id}/runs'''
		# On `main` branch + event being `schedule` + not returning PRs + only `num_runs` results
		url += f'''?branch=main&event=schedule&exclude_pull_requests=true&per_page={num_runs}'''

		lowercase__	     =						requests.get(__magic_name__       ,       headers=__magic_name__	).json()

		return result["workflow_runs"]






def 					UpperCamelCase   (      __magic_name__	:				str	)  ->    Dict:
		"""simple docstring"""




		lowercase__	     =						get_daily_ci_runs(__magic_name__	)
		lowercase__	     =						None
		for workflow_run in workflow_runs:
				if workflow_run["status"] == "completed":
						lowercase__	     =						workflow_run["""id"""]
						break

		return workflow_run_id






def 					UpperCamelCase   (      __magic_name__	:				str       ,       __magic_name__	:				List[Any]       ,       __magic_name__	:				Dict	)  ->    str:
		"""simple docstring"""




		lowercase__	     =						get_last_daily_ci_runs(__magic_name__	)
		if workflow_run_id is not None:
				lowercase__	     =						get_artifacts_links(worflow_run_id=__magic_name__       ,       token=__magic_name__	)
				for artifact_name in artifact_names:
						if artifact_name in artifacts_links:
								lowercase__	     =						artifacts_links[artifact_name]
								download_artifact(
								    artifact_name=__magic_name__       ,       artifact_url=__magic_name__       ,       output_dir=__magic_name__       ,       token=__magic_name__	)







def 					UpperCamelCase   (      __magic_name__	:				List[str]       ,       __magic_name__	:				str       ,       __magic_name__	:				Union[str, Any]	)  ->    Tuple:
		"""simple docstring"""




		get_last_daily_ci_artifacts(__magic_name__       ,       __magic_name__       ,       __magic_name__	)

		lowercase__	     =						{}
		for artifact_name in artifact_names:
				lowercase__	     =						os.path.join(__magic_name__       ,       f'''{artifact_name}.zip'''	)
				if os.path.isfile(__magic_name__	):
						lowercase__	     =						{}
						with zipfile.ZipFile(__magic_name__	) as z:
								for filename in z.namelist():
										if not os.path.isdir(__magic_name__	):
												# read the file
												with z.open(__magic_name__	) as f:
														lowercase__	     =						f.read().decode("""UTF-8"""	)

		return results

