from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


__lowerCamelCase			: List[Any]							   =		{
    '''configuration_rembert''': ['''REMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''RemBertConfig''', '''RemBertOnnxConfig''']
}

try:
   if not is_sentencepiece_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __lowerCamelCase			: Tuple							   =		['''RemBertTokenizer''']

try:
   if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __lowerCamelCase			: List[str]							   =		['''RemBertTokenizerFast''']

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __lowerCamelCase			: Tuple							   =		[
       '''REMBERT_PRETRAINED_MODEL_ARCHIVE_LIST''',
       '''RemBertForCausalLM''',
       '''RemBertForMaskedLM''',
       '''RemBertForMultipleChoice''',
       '''RemBertForQuestionAnswering''',
       '''RemBertForSequenceClassification''',
       '''RemBertForTokenClassification''',
       '''RemBertLayer''',
       '''RemBertModel''',
       '''RemBertPreTrainedModel''',
       '''load_tf_weights_in_rembert''',
   ]


try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __lowerCamelCase			: Optional[Any]							   =		[
       '''TF_REMBERT_PRETRAINED_MODEL_ARCHIVE_LIST''',
       '''TFRemBertForCausalLM''',
       '''TFRemBertForMaskedLM''',
       '''TFRemBertForMultipleChoice''',
       '''TFRemBertForQuestionAnswering''',
       '''TFRemBertForSequenceClassification''',
       '''TFRemBertForTokenClassification''',
       '''TFRemBertLayer''',
       '''TFRemBertModel''',
       '''TFRemBertPreTrainedModel''',
   ]


if TYPE_CHECKING:
   from .configuration_rembert import REMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RemBertConfig, RemBertOnnxConfig

   try:
      if not is_sentencepiece_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_rembert import RemBertTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_rembert_fast import RemBertTokenizerFast

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_rembert import (
          REMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
          RemBertForCausalLM,
          RemBertForMaskedLM,
          RemBertForMultipleChoice,
          RemBertForQuestionAnswering,
          RemBertForSequenceClassification,
          RemBertForTokenClassification,
          RemBertLayer,
          RemBertModel,
          RemBertPreTrainedModel,
          load_tf_weights_in_rembert,
      )

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_rembert import (
          TF_REMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
          TFRemBertForCausalLM,
          TFRemBertForMaskedLM,
          TFRemBertForMultipleChoice,
          TFRemBertForQuestionAnswering,
          TFRemBertForSequenceClassification,
          TFRemBertForTokenClassification,
          TFRemBertLayer,
          TFRemBertModel,
          TFRemBertPreTrainedModel,
      )


else:
   import sys

   __lowerCamelCase			: Optional[Any]							   =		_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import sys
import warnings
from os.path import abspath, dirname, join


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
__lowerCamelCase			: Any							   =		abspath(join(dirname(dirname(__file__)), '''src'''))
sys.path.insert(1, git_repo_path)

# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action='''ignore''', category=FutureWarning)



def 	__SCREAMING_SNAKE_CASE  (					__UpperCamelCase    :       Optional[int]	)							->					Any:







  """simple docstring"""





  from diffusers.utils.testing_utils import pytest_addoption_shared

  pytest_addoption_shared(__UpperCamelCase	)






def 	__SCREAMING_SNAKE_CASE  (					__UpperCamelCase    :       Dict	)							->					Optional[Any]:







  """simple docstring"""





  from diffusers.utils.testing_utils import pytest_terminal_summary_main

  SCREAMING_SNAKE_CASE__										=      terminalreporter.config.getoption("""--make-reports"""	)
  if make_reports:
    pytest_terminal_summary_main(__UpperCamelCase ,     id=__UpperCamelCase	)
