'''simple docstring'''





from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCamelCase       :     Optional[int]			=    logging.get_logger(__name__)

UpperCamelCase       :     List[str]			=    {
    """facebook/opt-125m""": """https://huggingface.co/facebook/opt-125m/blob/main/config.json""",
    """facebook/opt-350m""": """https://huggingface.co/facebook/opt-350m/blob/main/config.json""",
    """facebook/opt-1.3b""": """https://huggingface.co/facebook/opt-1.3b/blob/main/config.json""",
    """facebook/opt-2.7b""": """https://huggingface.co/facebook/opt-2.7b/blob/main/config.json""",
    """facebook/opt-6.7b""": """https://huggingface.co/facebook/opt-6.7b/blob/main/config.json""",
    """facebook/opt-13b""": """https://huggingface.co/facebook/opt-13b/blob/main/config.json""",
}



class   UpperCamelCase					(       a_       ):







    """simple docstring"""





    A     :    Union[str, Any]				=			"opt"
    A     :    int				=			["past_key_values"]





    def __init__(					self     :						int							,							UpperCAmelCase_     :						List[Any]=5_0_2_7_2							,							UpperCAmelCase_     :						Tuple=7_6_8							,							UpperCAmelCase_     :						Dict=1_2							,							UpperCAmelCase_     :						Optional[Any]=3_0_7_2							,							UpperCAmelCase_     :						Tuple=2_0_4_8							,							UpperCAmelCase_     :						Any=True							,							UpperCAmelCase_     :						List[Any]=False							,							UpperCAmelCase_     :						List[str]=None							,							UpperCAmelCase_     :						List[str]=0.1							,							UpperCAmelCase_     :						Optional[Any]=0.0							,							UpperCAmelCase_     :						str=1_2							,							UpperCAmelCase_     :						List[str]="relu"							,							UpperCAmelCase_     :						Union[str, Any]=0.0							,							UpperCAmelCase_     :						int=0.02							,							UpperCAmelCase_     :						Optional[int]=True							,							UpperCAmelCase_     :						int=1							,							UpperCAmelCase_     :						int=2							,							UpperCAmelCase_     :						Optional[int]=2							,							UpperCAmelCase_     :						str=True							,							UpperCAmelCase_     :						List[str]=True							,							**UpperCAmelCase_     :						Optional[Any]							,							):


         """simple docstring"""







         super().__init__(
             pad_token_id=UpperCAmelCase_							,							bos_token_id=UpperCAmelCase_							,							eos_token_id=UpperCAmelCase_							,							**UpperCAmelCase_							,							)
         a					:							Optional[int]							= vocab_size
         a					:							int							= max_position_embeddings
         a					:							str							= num_attention_heads
         a					:							str							= word_embed_proj_dim if word_embed_proj_dim is not None else hidden_size
         a					:							int							= ffn_dim
         a					:							int							= hidden_size
         a					:							str							= num_hidden_layers
         a					:							str							= dropout
         a					:							Optional[Any]							= attention_dropout
         a					:							int							= activation_function
         a					:							Optional[int]							= init_std
         a					:							List[str]							= layerdrop
         a					:							Dict							= use_cache
         a					:							Tuple							= do_layer_norm_before
         # We keep these variables at `True` for backward compatibility.
         a					:							List[str]							= enable_bias
         a					:							Union[str, Any]							= layer_norm_elementwise_affine

         # Note that the only purpose of `_remove_final_layer_norm` is to keep backward compatibility
         # with checkpoints that have been fine-tuned before transformers v4.20.1
         # see https://github.com/facebookresearch/metaseq/pull/164
         a					:							Optional[Any]							= _remove_final_layer_norm


'''simple docstring'''





import glob
import os

from get_test_info import get_tester_classes


if __name__ == "__main__":
      UpperCamelCase       :     List[Any]			=    []

      UpperCamelCase       :     Tuple			=    os.path.join("""tests""", """models""", """**""", """test_modeling_*.py""")
      UpperCamelCase       :     List[str]			=    glob.glob(pattern)
      # TODO: deal with TF/Flax too
      UpperCamelCase       :     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:
            UpperCamelCase       :     List[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:
                        UpperCamelCase       :     int			=    tester_class(parent=None)
                  except Exception:
                        continue
                  if hasattr(tester, """get_config"""):
                        UpperCamelCase       :     Union[str, Any]			=    tester.get_config()
                        for k, v in config.to_dict().items():
                              if isinstance(v, int):
                                    UpperCamelCase       :     List[Any]			=    None
                                    if k in ["vocab_size"]:
                                          UpperCamelCase       :     List[Any]			=    100
                                    elif k in ["max_position_embeddings"]:
                                          UpperCamelCase       :     Tuple			=    128
                                    elif k in ["hidden_size", "d_model"]:
                                          UpperCamelCase       :     Any			=    40
                                    elif k == ["num_layers", "num_hidden_layers", "num_encoder_layers", "num_decoder_layers"]:
                                          UpperCamelCase       :     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))

