



"""simple docstring"""





import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin
class  lowercase__  (       unittest.TestCase							,   SCREAMING_SNAKE_CASE ):







       '''simple docstring'''


       def 	lowercase__							(				self     :    List[Any]       )					->		str:


             '''simple docstring'''




             UpperCAmelCase_     					=				load_tool("text-classification"       )
             self.tool.setup()
             UpperCAmelCase_     					=				load_tool("text-classification"						,							remote=_UpperCAmelCase       )



       def 	lowercase__							(				self     :    Optional[int]       )					->		List[Any]:


             '''simple docstring'''




             UpperCAmelCase_     					=				self.tool("That's quite cool"						,							["positive", "negative"]       )
             self.assertEqual(_UpperCAmelCase						,							"positive"       )



       def 	lowercase__							(				self     :    Optional[Any]       )					->		Dict:


             '''simple docstring'''




             UpperCAmelCase_     					=				self.remote_tool("That's quite cool"						,							["positive", "negative"]       )
             self.assertEqual(_UpperCAmelCase						,							"positive"       )



       def 	lowercase__							(				self     :    str       )					->		Any:


             '''simple docstring'''




             UpperCAmelCase_     					=				self.tool(text="That's quite cool"						,							labels=["positive", "negative"]       )
             self.assertEqual(_UpperCAmelCase						,							"positive"       )







       def 	lowercase__							(				self     :    str       )					->		Optional[Any]:


             '''simple docstring'''




             UpperCAmelCase_     					=				self.remote_tool(text="That's quite cool"						,							labels=["positive", "negative"]       )
             self.assertEqual(_UpperCAmelCase						,							"positive"       )






"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE_					     =	logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_					     =	{
    '''alibaba-damo/mgp-str-base''': '''https://huggingface.co/alibaba-damo/mgp-str-base/resolve/main/config.json''',
}
class       lowerCAmelCase_		(				A__ ):



							'''simple docstring'''





							_snake_case						      =		'''mgp-str'''




							def __init__( self    ,				snake_case_=[32, 128]    ,				snake_case_=4    ,				snake_case_=3    ,				snake_case_=27    ,				snake_case_=38    ,				snake_case_=50_257    ,				snake_case_=30_522    ,				snake_case_=768    ,				snake_case_=12    ,				snake_case_=12    ,				snake_case_=4.0    ,				snake_case_=True    ,				snake_case_=False    ,				snake_case_=1e-5    ,				snake_case_=0.0    ,				snake_case_=0.0    ,				snake_case_=0.0    ,				snake_case_=False    ,				snake_case_=0.02    ,				**snake_case_    ,				)       ->  List[Any]:
													super().__init__(**snake_case_				)

													__lowerCAmelCase     =  image_size
													__lowerCAmelCase     =  patch_size
													__lowerCAmelCase     =  num_channels
													__lowerCAmelCase     =  max_token_length
													__lowerCAmelCase     =  num_character_labels
													__lowerCAmelCase     =  num_bpe_labels
													__lowerCAmelCase     =  num_wordpiece_labels
													__lowerCAmelCase     =  hidden_size
													__lowerCAmelCase     =  num_hidden_layers
													__lowerCAmelCase     =  num_attention_heads
													__lowerCAmelCase     =  mlp_ratio
													__lowerCAmelCase     =  distilled
													__lowerCAmelCase     =  layer_norm_eps
													__lowerCAmelCase     =  drop_rate
													__lowerCAmelCase     =  qkv_bias
													__lowerCAmelCase     =  attn_drop_rate
													__lowerCAmelCase     =  drop_path_rate
													__lowerCAmelCase     =  output_aa_attentions
													__lowerCAmelCase     =  initializer_range
