





from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


UpperCamelCase__          =logging.get_logger(__name__)

UpperCamelCase__          ={
    'flaubert/flaubert_small_cased': 'https://huggingface.co/flaubert/flaubert_small_cased/resolve/main/config.json',
    'flaubert/flaubert_base_uncased': 'https://huggingface.co/flaubert/flaubert_base_uncased/resolve/main/config.json',
    'flaubert/flaubert_base_cased': 'https://huggingface.co/flaubert/flaubert_base_cased/resolve/main/config.json',
    'flaubert/flaubert_large_cased': 'https://huggingface.co/flaubert/flaubert_large_cased/resolve/main/config.json',
}





class 	lowerCAmelCase__(       __lowercase			):






       '''simple docstring'''


       __snake_case       	=			'flaubert'
       __snake_case       	=			{
           'hidden_size': 'emb_dim',
           'num_attention_heads': 'n_heads',
           'num_hidden_layers': 'n_layers',
           'n_words': 'vocab_size',  # For backward compatibility
       }




       def __init__(					self			,  __lowerCamelCase=False			,  __lowerCamelCase=0.0			,  __lowerCamelCase=3_0_1_4_5			,  __lowerCamelCase=2_0_4_8			,  __lowerCamelCase=1_2			,  __lowerCamelCase=1_6			,  __lowerCamelCase=0.1			,  __lowerCamelCase=0.1			,  __lowerCamelCase=True			,  __lowerCamelCase=False			,  __lowerCamelCase=False			,  __lowerCamelCase=False			,  __lowerCamelCase=1			,  __lowerCamelCase=True			,  __lowerCamelCase=5_1_2			,  __lowerCamelCase=2_0_4_8**-0.5			,  __lowerCamelCase=1E-12			,  __lowerCamelCase=0.02			,  __lowerCamelCase=0			,  __lowerCamelCase=1			,  __lowerCamelCase=2			,  __lowerCamelCase=3			,  __lowerCamelCase=5			,  __lowerCamelCase=True			,  __lowerCamelCase="first"			,  __lowerCamelCase=True			,  __lowerCamelCase=None			,  __lowerCamelCase=True			,  __lowerCamelCase=0.1			,  __lowerCamelCase=5			,  __lowerCamelCase=5			,  __lowerCamelCase=0			,  __lowerCamelCase=0			,  __lowerCamelCase=2			,  __lowerCamelCase=0			,  **__lowerCamelCase			,  )	->   str:
            _SCREAMING_SNAKE_CASE				:		Dict  			=							pre_norm
            _SCREAMING_SNAKE_CASE				:		str  			=							layerdrop
            _SCREAMING_SNAKE_CASE				:		str  			=							vocab_size
            _SCREAMING_SNAKE_CASE				:		Dict  			=							emb_dim
            _SCREAMING_SNAKE_CASE				:		List[str]  			=							n_layers
            _SCREAMING_SNAKE_CASE				:		List[Any]  			=							n_heads
            _SCREAMING_SNAKE_CASE				:		Dict  			=							dropout
            _SCREAMING_SNAKE_CASE				:		Any  			=							attention_dropout
            _SCREAMING_SNAKE_CASE				:		Tuple  			=							gelu_activation
            _SCREAMING_SNAKE_CASE				:		str  			=							sinusoidal_embeddings
            _SCREAMING_SNAKE_CASE				:		str  			=							causal
            _SCREAMING_SNAKE_CASE				:		Optional[Any]  			=							asm
            _SCREAMING_SNAKE_CASE				:		Optional[int]  			=							n_langs
            _SCREAMING_SNAKE_CASE				:		Union[str, Any]  			=							use_lang_emb
            _SCREAMING_SNAKE_CASE				:		int  			=							layer_norm_eps
            _SCREAMING_SNAKE_CASE				:		Tuple  			=							bos_index
            _SCREAMING_SNAKE_CASE				:		List[Any]  			=							eos_index
            _SCREAMING_SNAKE_CASE				:		Optional[Any]  			=							pad_index
            _SCREAMING_SNAKE_CASE				:		List[Any]  			=							unk_index
            _SCREAMING_SNAKE_CASE				:		Optional[int]  			=							mask_index
            _SCREAMING_SNAKE_CASE				:		int  			=							is_encoder
            _SCREAMING_SNAKE_CASE				:		Optional[Any]  			=							max_position_embeddings
            _SCREAMING_SNAKE_CASE				:		Union[str, Any]  			=							embed_init_std
            _SCREAMING_SNAKE_CASE				:		Any  			=							init_std
            _SCREAMING_SNAKE_CASE				:		Optional[int]  			=							summary_type
            _SCREAMING_SNAKE_CASE				:		Union[str, Any]  			=							summary_use_proj
            _SCREAMING_SNAKE_CASE				:		int  			=							summary_activation
            _SCREAMING_SNAKE_CASE				:		Dict  			=							summary_proj_to_labels
            _SCREAMING_SNAKE_CASE				:		Union[str, Any]  			=							summary_first_dropout
            _SCREAMING_SNAKE_CASE				:		Tuple  			=							start_n_top
            _SCREAMING_SNAKE_CASE				:		Dict  			=							end_n_top
            _SCREAMING_SNAKE_CASE				:		Optional[Any]  			=							mask_token_id
            _SCREAMING_SNAKE_CASE				:		str  			=							lang_id

            if "n_words" in kwargs:
                 _SCREAMING_SNAKE_CASE				:		List[str]  			=							kwargs["n_words"]

            super().__init__(pad_token_id=__lowerCamelCase			,  bos_token_id=__lowerCamelCase			,  **__lowerCamelCase							)





class 	lowerCAmelCase__(       __lowercase			):






       '''simple docstring'''


       @property
       def 			UpperCamelCase_	(					self							)	->   Mapping[str, Mapping[int, str]]:
            if self.task == "multiple-choice":
                 _SCREAMING_SNAKE_CASE				:		str  			=							{0: "batch", 1: "choice", 2: "sequence"}
            else:
                 _SCREAMING_SNAKE_CASE				:		Optional[Any]  			=							{0: "batch", 1: "sequence"}
            return OrderedDict(
                [
                    ("input_ids", dynamic_axis),
                    ("attention_mask", dynamic_axis),
                ]							)





import unittest
from pathlib import Path

from transformers import is_vision_available, load_tool
from transformers.testing_utils import get_tests_dir

from .test_tools_common import ToolTesterMixin


if is_vision_available():
     from PIL import Image





class  __lowerCamelCase       (    unittest.TestCase	,				UpperCamelCase__    ):




    """simple docstring"""

    def    a      (       self     :     Any   )      ->       Tuple:
         lowerCAmelCase__		= load_tool("image-captioning"   )
         self.tool.setup()
         lowerCAmelCase__		= load_tool("image-captioning"   ,	remote=SCREAMING_SNAKE_CASE__   )


    def    a      (       self     :     int   )      ->       List[str]:
         lowerCAmelCase__		= Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"   )   ) / "000000039769.png"   )
         lowerCAmelCase__		= self.tool(SCREAMING_SNAKE_CASE__   )
         self.assertEqual(SCREAMING_SNAKE_CASE__   ,	"two cats sleeping on a couch"   )


    def    a      (       self     :     List[str]   )      ->       int:
         lowerCAmelCase__		= Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"   )   ) / "000000039769.png"   )
         lowerCAmelCase__		= self.remote_tool(SCREAMING_SNAKE_CASE__   )
         self.assertEqual(SCREAMING_SNAKE_CASE__   ,	"two cats sleeping on a couch"   )


    def    a      (       self     :     Any   )      ->       Any:
         lowerCAmelCase__		= Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"   )   ) / "000000039769.png"   )
         lowerCAmelCase__		= self.tool(image=SCREAMING_SNAKE_CASE__   )
         self.assertEqual(SCREAMING_SNAKE_CASE__   ,	"two cats sleeping on a couch"   )


    def    a      (       self     :     Dict   )      ->       Any:
         lowerCAmelCase__		= Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"   )   ) / "000000039769.png"   )
         lowerCAmelCase__		= self.remote_tool(image=SCREAMING_SNAKE_CASE__   )
         self.assertEqual(SCREAMING_SNAKE_CASE__   ,	"two cats sleeping on a couch"   )
