





import os

import pytest

from transformers.dynamic_module_utils import get_imports


UpperCAmelCase	:	Optional[int]		     =       """
import os
"""

UpperCAmelCase	:	List[str]		     =       """
def foo():
    import os
    return False
"""

UpperCAmelCase	:	Dict		     =       """
def foo():
    def bar():
        if True:
            import os
        return False
    return bar()
"""

UpperCAmelCase	:	Dict		     =       """
import os

try:
    import bar
except ImportError:
    raise ValueError()
"""

UpperCAmelCase	:	str		     =       """
import os

def foo():
    try:
        import bar
    except ImportError:
        raise ValueError()
"""

UpperCAmelCase	:	Any		     =       """
import os

try:
    import bar
except (ImportError, AttributeError):
    raise ValueError()
"""

UpperCAmelCase	:	List[Any]		     =       """
import os

try:
    import bar
except ImportError as e:
    raise ValueError()
"""

UpperCAmelCase	:	Any		     =       """
import os

try:
    import bar
except:
    raise ValueError()
"""

UpperCAmelCase	:	int		     =       """
import os

try:
    import bar
    import baz
except ImportError:
    raise ValueError()
"""

UpperCAmelCase	:	List[Any]		     =       """
import os

try:
    import bar
    import baz
except ImportError:
    x = 1
    raise ValueError()
"""

UpperCAmelCase	:	List[Any]		     =       [
    TOP_LEVEL_IMPORT,
    IMPORT_IN_FUNCTION,
    DEEPLY_NESTED_IMPORT,
    TOP_LEVEL_TRY_IMPORT,
    GENERIC_EXCEPT_IMPORT,
    MULTILINE_TRY_IMPORT,
    MULTILINE_BOTH_IMPORT,
    MULTIPLE_EXCEPTS_IMPORT,
    EXCEPT_AS_IMPORT,
    TRY_IMPORT_IN_FUNCTION,
]
@pytest.mark.parametrize("case"       ,       SCREAMING_SNAKE_CASE						)
def      _A       (		SCREAMING_SNAKE_CASE     :   Tuple       ,       SCREAMING_SNAKE_CASE     :   Union[str, Any]						):





  """simple docstring"""



  a__	:					int										=os.path.join(SCREAMING_SNAKE_CASE       ,       "test_file.py"						)
  with open(SCREAMING_SNAKE_CASE       ,       "w"						) as _tmp_file:
    _tmp_file.write(SCREAMING_SNAKE_CASE						)

  a__	:					List[str]										=get_imports(SCREAMING_SNAKE_CASE						)
  assert parsed_imports == ["os"]










import warnings

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


_A		       =						logging.get_logger(__name__)

_A		       =						{
    'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json',
}






class     UpperCAmelCase__       (					A_		):



    """simple docstring"""






    UpperCAmelCase__						:		Optional[int]      =  "mvp"
    UpperCAmelCase__						:		Tuple      =  ["past_key_values"]
    UpperCAmelCase__						:		Union[str, Any]      =  {"num_attention_heads": "encoder_attention_heads", "hidden_size": "d_model"}






    def __init__(			self					,   A_=50267					,   A_=1024					,   A_=12					,   A_=4096					,   A_=16					,   A_=12					,   A_=4096					,   A_=16					,   A_=0.0					,   A_=0.0					,   A_="gelu"					,   A_=1024					,   A_=0.1					,   A_=0.0					,   A_=0.0					,   A_=0.02					,   A_=0.0					,   A_=False					,   A_=True					,   A_=1					,   A_=0					,   A_=2					,   A_=True					,   A_=2					,   A_=2					,   A_=False					,   A_=100					,   A_=800					,   **A_					,   )  ->       Union[str, Any]:
         __UpperCamelCase    							=vocab_size
         __UpperCamelCase    							=max_position_embeddings
         __UpperCamelCase    							=d_model
         __UpperCamelCase    							=encoder_ffn_dim
         __UpperCamelCase    							=encoder_layers
         __UpperCamelCase    							=encoder_attention_heads
         __UpperCamelCase    							=decoder_ffn_dim
         __UpperCamelCase    							=decoder_layers
         __UpperCamelCase    							=decoder_attention_heads
         __UpperCamelCase    							=dropout
         __UpperCamelCase    							=attention_dropout
         __UpperCamelCase    							=activation_dropout
         __UpperCamelCase    							=activation_function
         __UpperCamelCase    							=init_std
         __UpperCamelCase    							=encoder_layerdrop
         __UpperCamelCase    							=decoder_layerdrop
         __UpperCamelCase    							=classifier_dropout
         __UpperCamelCase    							=use_cache
         __UpperCamelCase    							=encoder_layers
         __UpperCamelCase    							=scale_embedding  # scale factor will be sqrt(d_model) if True
         __UpperCamelCase    							=use_prompt
         __UpperCamelCase    							=prompt_length
         __UpperCamelCase    							=prompt_mid_dim

         super().__init__(
             pad_token_id=A_					,   bos_token_id=A_					,   eos_token_id=A_					,   is_encoder_decoder=A_					,   decoder_start_token_id=A_					,   forced_eos_token_id=A_					,   **A_					,   )

         if self.forced_bos_token_id is None and kwargs.get('force_bos_token_to_be_generated'					,   A_    ):
              __UpperCamelCase    							=self.bos_token_id
              warnings.warn(
                  f'Please make sure the config includes `forced_bos_token_id={self.bos_token_id}` in future versions. '
                  'The config can simply be saved and uploaded again to be fixed.'    )





