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


__lowercase										= logging.get_logger(__name__)

__lowercase										= {
    '''CarlCochet/trajectory-transformer-halfcheetah-medium-v2''': (
        '''https://huggingface.co/CarlCochet/trajectory-transformer-halfcheetah-medium-v2/resolve/main/config.json'''
    ),
    # See all TrajectoryTransformer models at https://huggingface.co/models?filter=trajectory_transformer
}


class      lowerCamelCase_					(       UpperCAmelCase_			):






    '''simple docstring'''






    a__     :						str      =				"""trajectory_transformer"""
    a__     :						List[Any]      =				["""past_key_values"""]
    a__     :						Optional[int]      =				{
        """hidden_size""": """n_embd""",
        """num_attention_heads""": """n_head""",
        """num_hidden_layers""": """n_layer""",
    }







    def __init__(     self			,			__lowercase=100			,			__lowercase=5			,			__lowercase=1			,			__lowercase=1			,			__lowercase=249			,			__lowercase=6			,			__lowercase=17			,			__lowercase=25			,			__lowercase=4			,			__lowercase=4			,			__lowercase=128			,			__lowercase=0.1			,			__lowercase=0.1			,			__lowercase=0.1			,			__lowercase=0.00_06			,			__lowercase=512			,			__lowercase=0.02			,			__lowercase=1E-1_2			,			__lowercase=1			,			__lowercase=True			,			__lowercase=1			,			__lowercase=50_256			,			__lowercase=50_256			,			**__lowercase			,			)	->     List[Any]:
        __UpperCamelCase					:Optional[int]        =		vocab_size
        __UpperCamelCase					:Dict        =		action_weight
        __UpperCamelCase					:int        =		reward_weight
        __UpperCamelCase					:int        =		value_weight
        __UpperCamelCase					:Any        =		max_position_embeddings
        __UpperCamelCase					:Any        =		block_size
        __UpperCamelCase					:int        =		action_dim
        __UpperCamelCase					:Any        =		observation_dim
        __UpperCamelCase					:Dict        =		transition_dim
        __UpperCamelCase					:str        =		learning_rate
        __UpperCamelCase					:List[Any]        =		n_layer
        __UpperCamelCase					:int        =		n_head
        __UpperCamelCase					:Tuple        =		n_embd
        __UpperCamelCase					:Optional[Any]        =		embd_pdrop
        __UpperCamelCase					:List[Any]        =		attn_pdrop
        __UpperCamelCase					:Dict        =		resid_pdrop
        __UpperCamelCase					:Optional[Any]        =		initializer_range
        __UpperCamelCase					:Optional[Any]        =		layer_norm_eps
        __UpperCamelCase					:Dict        =		kaiming_initializer_range
        __UpperCamelCase					:Tuple        =		use_cache
        super().__init__(pad_token_id=__lowercase			,			bos_token_id=__lowercase			,			eos_token_id=__lowercase			,			**__lowercase)






import os

import pytest

from transformers.dynamic_module_utils import get_imports


__lowercase										= '''
import os
'''

__lowercase										= '''
def foo():
    import os
    return False
'''

__lowercase										= '''
def foo():
    def bar():
        if True:
            import os
        return False
    return bar()
'''

__lowercase										= '''
import os

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

__lowercase										= '''
import os

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

__lowercase										= '''
import os

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

__lowercase										= '''
import os

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

__lowercase										= '''
import os

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

__lowercase										= '''
import os

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

__lowercase										= '''
import os

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

__lowercase										= [
    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 lowerCamelCase  (       SCREAMING_SNAKE_CASE  ,      SCREAMING_SNAKE_CASE     ):
    '''simple docstring'''







    __UpperCamelCase					:List[Any]        =		os.path.join(SCREAMING_SNAKE_CASE  ,      '''test_file.py'''     )
    with open(SCREAMING_SNAKE_CASE  ,      '''w'''     ) as _tmp_file:
        _tmp_file.write(SCREAMING_SNAKE_CASE     )

    __UpperCamelCase					:Dict        =		get_imports(SCREAMING_SNAKE_CASE     )
    assert parsed_imports == ["os"]





