


'''simple docstring'''

import glob
import os

from get_test_info import get_tester_classes


if __name__ == "__main__":
    lowerCamelCase							:       Tuple  						=     []

    lowerCamelCase							:       str  						=     os.path.join('tests', 'models', '**', 'test_modeling_*.py')
    lowerCamelCase							:       Tuple  						=     glob.glob(pattern)
    # TODO: deal with TF/Flax too
    lowerCamelCase							:       List[Any]  						=     [
        x for x in test_files if not (x.startswith('test_modeling_tf_') or x.startswith('test_modeling_flax_'))
    ]

    for test_file in test_files:
        lowerCamelCase							:       str  						=     get_tester_classes(test_file)
        for tester_class in tester_classes:
            # A few tester classes don't have `parent` parameter in `__init__`.
            # TODO: deal this better
            try:
                lowerCamelCase							:       Any  						=     tester_class(parent=None)
            except Exception:
                continue
            if hasattr(tester, 'get_config'):
                lowerCamelCase							:       int  						=     tester.get_config()
                for k, v in config.to_dict().items():
                    if isinstance(v, int):
                        lowerCamelCase							:       Dict  						=     None
                        if k in ["vocab_size"]:
                            lowerCamelCase							:       List[Any]  						=     100
                        elif k in ["max_position_embeddings"]:
                            lowerCamelCase							:       Dict  						=     128
                        elif k in ["hidden_size", "d_model"]:
                            lowerCamelCase							:       List[Any]  						=     40
                        elif k == ["num_layers", "num_hidden_layers", "num_encoder_layers", "num_decoder_layers"]:
                            lowerCamelCase							:       Tuple  						=     5
                        if target is not None and v > target:
                            failures.append(
                                f"""{tester_class.__name__} will produce a `config` of type `{config.__class__.__name__}`"""
                                f""" with config[\"{k}\"] = {v} which is too large for testing! Set its value to be smaller"""
                                f""" than {target}."""
                            )

    if len(failures) > 0:
        raise Exception(f"""There were {len(failures)} failures:\n""" + '\n'.join(failures))








'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_torch_available


lowerCamelCase							:       Tuple  						=     {'configuration_bert_generation': ['BertGenerationConfig']}

try:
 if not is_sentencepiece_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase							:       Union[str, Any]  						=     ['BertGenerationTokenizer']

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase							:       Dict  						=     [
     'BertGenerationDecoder',
     'BertGenerationEncoder',
     'BertGenerationPreTrainedModel',
     'load_tf_weights_in_bert_generation',
 ]


if TYPE_CHECKING:
 from .configuration_bert_generation import BertGenerationConfig

 try:
  if not is_sentencepiece_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_bert_generation import BertGenerationTokenizer

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_bert_generation import (
      BertGenerationDecoder,
      BertGenerationEncoder,
      BertGenerationPreTrainedModel,
      load_tf_weights_in_bert_generation,
  )

else:
 import sys

 lowerCamelCase							:       int  						=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




