

from collections import OrderedDict
from typing import Mapping

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


_a:      str								=     logging.get_logger(__name__)

_a:      List[str]								=     {
    """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   __UpperCamelCase      (   lowercase  ):
	SCREAMING_SNAKE_CASE__      			=       'flaubert'
	SCREAMING_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		:  str						,		lowerCAmelCase		:  str=False						,		lowerCAmelCase		:  int=0.0						,		lowerCAmelCase		:  Optional[Any]=30_145						,		lowerCAmelCase		:  Dict=2_048						,		lowerCAmelCase		:  Optional[Any]=12						,		lowerCAmelCase		:  Optional[int]=16						,		lowerCAmelCase		:  Any=0.1						,		lowerCAmelCase		:  Any=0.1						,		lowerCAmelCase		:  Tuple=True						,		lowerCAmelCase		:  int=False						,		lowerCAmelCase		:  List[str]=False						,		lowerCAmelCase		:  str=False						,		lowerCAmelCase		:  int=1						,		lowerCAmelCase		:  int=True						,		lowerCAmelCase		:  Dict=512						,		lowerCAmelCase		:  List[str]=2_048**-0.5						,		lowerCAmelCase		:  Any=1e-12						,		lowerCAmelCase		:  Optional[Any]=0.02						,		lowerCAmelCase		:  Tuple=0						,		lowerCAmelCase		:  int=1						,		lowerCAmelCase		:  Optional[Any]=2						,		lowerCAmelCase		:  str=3						,		lowerCAmelCase		:  Dict=5						,		lowerCAmelCase		:  Union[str, Any]=True						,		lowerCAmelCase		:  List[Any]="first"						,		lowerCAmelCase		:  int=True						,		lowerCAmelCase		:  Tuple=None						,		lowerCAmelCase		:  str=True						,		lowerCAmelCase		:  List[Any]=0.1						,		lowerCAmelCase		:  Tuple=5						,		lowerCAmelCase		:  List[str]=5						,		lowerCAmelCase		:  str=0						,		lowerCAmelCase		:  int=0						,		lowerCAmelCase		:  Dict=2						,		lowerCAmelCase		:  Optional[Any]=0						,		**lowerCAmelCase		:  Any						,		):


		'''simple docstring'''







		UpperCAmelCase_    			=     pre_norm
		UpperCAmelCase_    			=     layerdrop
		UpperCAmelCase_    			=     vocab_size
		UpperCAmelCase_    			=     emb_dim
		UpperCAmelCase_    			=     n_layers
		UpperCAmelCase_    			=     n_heads
		UpperCAmelCase_    			=     dropout
		UpperCAmelCase_    			=     attention_dropout
		UpperCAmelCase_    			=     gelu_activation
		UpperCAmelCase_    			=     sinusoidal_embeddings
		UpperCAmelCase_    			=     causal
		UpperCAmelCase_    			=     asm
		UpperCAmelCase_    			=     n_langs
		UpperCAmelCase_    			=     use_lang_emb
		UpperCAmelCase_    			=     layer_norm_eps
		UpperCAmelCase_    			=     bos_index
		UpperCAmelCase_    			=     eos_index
		UpperCAmelCase_    			=     pad_index
		UpperCAmelCase_    			=     unk_index
		UpperCAmelCase_    			=     mask_index
		UpperCAmelCase_    			=     is_encoder
		UpperCAmelCase_    			=     max_position_embeddings
		UpperCAmelCase_    			=     embed_init_std
		UpperCAmelCase_    			=     init_std
		UpperCAmelCase_    			=     summary_type
		UpperCAmelCase_    			=     summary_use_proj
		UpperCAmelCase_    			=     summary_activation
		UpperCAmelCase_    			=     summary_proj_to_labels
		UpperCAmelCase_    			=     summary_first_dropout
		UpperCAmelCase_    			=     start_n_top
		UpperCAmelCase_    			=     end_n_top
		UpperCAmelCase_    			=     mask_token_id
		UpperCAmelCase_    			=     lang_id

		if "n_words" in kwargs:
			UpperCAmelCase_    			=     kwargs["n_words"]

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


class   __UpperCamelCase      (   lowercase  ):




	@property
	def  __A   (						self		:  Dict							):


		'''simple docstring'''







		if self.task == "multiple-choice":
			UpperCAmelCase_    			=     {0: "batch", 1: "choice", 2: "sequence"}
		else:
			UpperCAmelCase_    			=     {0: "batch", 1: "sequence"}
		return OrderedDict(
		    [
		        ("input_ids", dynamic_axis),
		        ("attention_mask", dynamic_axis),
		    ]							)


import unittest

from datasets import load_dataset

from transformers import load_tool

from .test_tools_common import ToolTesterMixin

class   __UpperCamelCase      (   unittest.TestCase       ,       lowercase  ):




	def  __A   (						self		:  str							):


		'''simple docstring'''







		UpperCAmelCase_    			=     load_tool("document-question-answering"							)
		self.tool.setup()
		UpperCAmelCase_    			=     load_tool("document-question-answering"						,		remote=lowerCAmelCase							)




	def  __A   (						self		:  Optional[Any]							):


		'''simple docstring'''







		UpperCAmelCase_    			=     load_dataset("hf-internal-testing/example-documents"						,		split="test"							)
		UpperCAmelCase_    			=     dataset[0]["image"]

		UpperCAmelCase_    			=     self.tool(lowerCAmelCase						,		"When is the coffee break?"							)
		self.assertEqual(lowerCAmelCase						,		"11-14 to 11:39 a.m."							)




	def  __A   (						self		:  Any							):


		'''simple docstring'''







		UpperCAmelCase_    			=     load_dataset("hf-internal-testing/example-documents"						,		split="test"							)
		UpperCAmelCase_    			=     dataset[0]["image"]

		UpperCAmelCase_    			=     self.remote_tool(lowerCAmelCase						,		"When is the coffee break?"							)
		self.assertEqual(lowerCAmelCase						,		"11-14 to 11:39 a.m."							)




	def  __A   (						self		:  int							):


		'''simple docstring'''







		UpperCAmelCase_    			=     load_dataset("hf-internal-testing/example-documents"						,		split="test"							)
		UpperCAmelCase_    			=     dataset[0]["image"]

		self.tool(document=lowerCAmelCase						,		question="When is the coffee break?"							)




	def  __A   (						self		:  Any							):


		'''simple docstring'''







		UpperCAmelCase_    			=     load_dataset("hf-internal-testing/example-documents"						,		split="test"							)
		UpperCAmelCase_    			=     dataset[0]["image"]

		UpperCAmelCase_    			=     self.remote_tool(document=lowerCAmelCase						,		question="When is the coffee break?"							)
		self.assertEqual(lowerCAmelCase						,		"11-14 to 11:39 a.m."							)