





import unittest

from transformers import AutoTokenizer, is_flax_available
from transformers.testing_utils import require_flax, require_sentencepiece, require_tokenizers, slow


if is_flax_available():
      import jax.numpy as jnp

      from transformers import FlaxXLMRobertaModel







@require_sentencepiece
@require_tokenizers
@require_flax
class    __snake_case	(							unittest.TestCase      ):




       @slow
       def 							UpperCAmelCase__			(  self			:   Union[str, Any]		):
         __snake_case:						List[Any]			  =						FlaxXLMRobertaModel.from_pretrained("""xlm-roberta-base"""		)
         __snake_case:						Optional[Any]			  =						AutoTokenizer.from_pretrained("""xlm-roberta-base"""		)
         __snake_case:						int			  =						"""The dog is cute and lives in the garden house"""
         __snake_case:						Any			  =						jnp.array([tokenizer.encode(A		)]		)

         __snake_case:						Dict			  =						(1, 12, 768)  # batch_size, sequence_length, embedding_vector_dim
         __snake_case:						int			  =						jnp.array(
             [[-0.0101, 0.1218, -0.0803, 0.0801, 0.1327, 0.0776, -0.1215, 0.2383, 0.3338, 0.3106, 0.0300, 0.0252]]		)

         __snake_case:						int			  =						model(A		)["""last_hidden_state"""]
         self.assertEqual(output.shape							,    A		)
         # compare the actual values for a slice of last dim
         self.assertTrue(jnp.allclose(output[:, :, -1]							,    A							,    atol=1E-3		)		)













import argparse
from collections import defaultdict

import yaml


__UpperCAmelCase	:       int    	=							"docs/source/en/_toctree.yml"







def       A__							(   SCREAMING_SNAKE_CASE__)       ->   Dict:
  __snake_case:						Union[str, Any]			  =						defaultdict(SCREAMING_SNAKE_CASE__)
  for doc in model_doc:
    counts[doc["local"]] += 1
  __snake_case:						Dict			  =						[key for key, value in counts.items() if value > 1]

  __snake_case:						Optional[Any]			  =						[]
  for duplicate_key in duplicates:
    __snake_case:						Tuple			  =						list({doc["""title"""] for doc in model_doc if doc["""local"""] == duplicate_key})
    if len(SCREAMING_SNAKE_CASE__) > 1:
      raise ValueError(
          F'''{duplicate_key} is present several times in the documentation table of content at '''
          """`docs/source/en/_toctree.yml` with different *Title* values. Choose one of those and remove the """
          """others.""")
    # Only add this once
    new_doc.append({"""local""": duplicate_key, """title""": titles[0]})

  # Add none duplicate-keys
  new_doc.extend([doc for doc in model_doc if counts[doc["""local"""]] == 1])

  # Sort
  return sorted(SCREAMING_SNAKE_CASE__ , key=lambda SCREAMING_SNAKE_CASE__: s["title"].lower())







def       A__							(   SCREAMING_SNAKE_CASE__=False)       ->   List[str]:
  with open(SCREAMING_SNAKE_CASE__ , encoding="""utf-8""") as f:
    __snake_case:						Optional[int]			  =						yaml.safe_load(f.read())

  # Get to the API doc
  __snake_case:						Dict			  =						0
  while content[api_idx]["title"] != "API":
    api_idx += 1
  __snake_case:						str			  =						content[api_idx]["""sections"""]

  # Then to the model doc
  __snake_case:						List[Any]			  =						0
  while api_doc[model_idx]["title"] != "Models":
    model_idx += 1

  __snake_case:						Dict			  =						api_doc[model_idx]["""sections"""]

  __snake_case:						int			  =						[(idx, section) for idx, section in enumerate(SCREAMING_SNAKE_CASE__) if """sections""" in section]
  __snake_case:						Optional[int]			  =						False
  for idx, modality_doc in modalities_docs:
    __snake_case:						Dict			  =						modality_doc["""sections"""]
    __snake_case:						List[str]			  =						clean_model_doc_toc(SCREAMING_SNAKE_CASE__)

    if old_modality_doc != new_modality_doc:
      __snake_case:						List[str]			  =						True
      if overwrite:
        __snake_case:						Dict			  =						new_modality_doc

  if diff:
    if overwrite:
      __snake_case:						Dict			  =						model_doc
      __snake_case:						int			  =						api_doc
      with open(SCREAMING_SNAKE_CASE__ , """w""" , encoding="""utf-8""") as f:
        f.write(yaml.dump(SCREAMING_SNAKE_CASE__ , allow_unicode=SCREAMING_SNAKE_CASE__))
    else:
      raise ValueError(
          """The model doc part of the table of content is not properly sorted, run `make style` to fix this.""")


if __name__ == "__main__":
      __UpperCAmelCase	:       Optional[Any]    	=							argparse.ArgumentParser()
      parser.add_argument("--fix_and_overwrite", action="store_true", help="Whether to fix inconsistencies.")
      __UpperCAmelCase	:       str    	=							parser.parse_args()

      check_model_doc(args.fix_and_overwrite)






