




import os

import pytest

from transformers.dynamic_module_utils import get_imports


_snake_case										=       "\nimport os\n"

_snake_case										=       "\ndef foo():\n    import os\n    return False\n"

_snake_case										=       "\ndef foo():\n    def bar():\n        if True:\n            import os\n        return False\n    return bar()\n"

_snake_case										=       "\nimport os\n\ntry:\n    import bar\nexcept ImportError:\n    raise ValueError()\n"

_snake_case										=       "\nimport os\n\ndef foo():\n    try:\n        import bar\n    except ImportError:\n        raise ValueError()\n"

_snake_case										=       "\nimport os\n\ntry:\n    import bar\nexcept (ImportError, AttributeError):\n    raise ValueError()\n"

_snake_case										=       "\nimport os\n\ntry:\n    import bar\nexcept ImportError as e:\n    raise ValueError()\n"

_snake_case										=       "\nimport os\n\ntry:\n    import bar\nexcept:\n    raise ValueError()\n"

_snake_case										=       "\nimport os\n\ntry:\n    import bar\n    import baz\nexcept ImportError:\n    raise ValueError()\n"

_snake_case										=       "\nimport os\n\ntry:\n    import bar\n    import baz\nexcept ImportError:\n    x = 1\n    raise ValueError()\n"

_snake_case										=       [
    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""",snake_case_     )
def 				lowerCAmelCase_	(     snake_case_,snake_case_     ):
      _A							:     Tuple			=						os.path.join(snake_case_,"""test_file.py"""     )
      with open(snake_case_,"""w"""     ) as _tmp_file:
            _tmp_file.write(snake_case_     )

      _A							:     Optional[Any]			=						get_imports(snake_case_     )
      assert parsed_imports == ["os"]







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


_snake_case										=       logging.get_logger(__name__)

_snake_case										=       {
    "google/fnet-base": "https://huggingface.co/google/fnet-base/resolve/main/config.json",
    "google/fnet-large": "https://huggingface.co/google/fnet-large/resolve/main/config.json"
    # See all FNet models at https://huggingface.co/models?filter=fnet
}







class 						lowercase							(   UpperCamelCase__		):
     _a							 =						"fnet"

     def __init__(  self		,     _a=3_2000		,     _a=768		,     _a=12		,     _a=3072		,     _a="gelu_new"		,     _a=0.1		,     _a=512		,     _a=4		,     _a=0.02		,     _a=1e-12		,     _a=False		,     _a=512		,     _a=3		,     _a=1		,     _a=2		,     **_a		,     )						->							int:
           super().__init__(pad_token_id=_a		,     bos_token_id=_a		,     eos_token_id=_a		,     **_a				)

           _A							:     Any			=						vocab_size
           _A							:     str			=						max_position_embeddings
           _A							:     Optional[Any]			=						hidden_size
           _A							:     List[str]			=						num_hidden_layers
           _A							:     List[str]			=						intermediate_size
           _A							:     List[Any]			=						hidden_act
           _A							:     List[str]			=						hidden_dropout_prob
           _A							:     List[str]			=						initializer_range
           _A							:     List[Any]			=						type_vocab_size
           _A							:     List[Any]			=						layer_norm_eps
           _A							:     List[str]			=						use_tpu_fourier_optimizations
           _A							:     str			=						tpu_short_seq_length

