



'''simple docstring'''




from typing import Mapping

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


UpperCamelCase__ :			Union[str, Any]												=				logging.get_logger(__name__)

UpperCamelCase__ :			Dict												=				{
    '''google/umt5-small''': '''https://huggingface.co/google/umt5-small/resolve/main/config.json''',
    # See all umt5 models at https://huggingface.co/models?filter=umt5
}






class 		_UpperCamelCase						(							lowerCamelCase__					):


			'''simple docstring'''

			_A   :	str    					=	'''umt5'''
			_A   :	Any    					=	['''past_key_values''']

			def __init__(							self  :				Any							,  lowerCAmelCase__  :				List[str]=2_5_0_1_1_2							,  lowerCAmelCase__  :				Optional[int]=5_1_2							,  lowerCAmelCase__  :				str=6_4							,  lowerCAmelCase__  :				Optional[int]=1_0_2_4							,  lowerCAmelCase__  :				Tuple=8							,  lowerCAmelCase__  :				Any=None							,  lowerCAmelCase__  :				str=6							,  lowerCAmelCase__  :				int=3_2							,  lowerCAmelCase__  :				Optional[Any]=1_2_8							,  lowerCAmelCase__  :				Tuple=0.1							,  lowerCAmelCase__  :				List[str]=1E-6							,  lowerCAmelCase__  :				Dict=1.0							,  lowerCAmelCase__  :				Union[str, Any]="gated-gelu"							,  lowerCAmelCase__  :				Tuple=True							,  lowerCAmelCase__  :				int=True							,  lowerCAmelCase__  :				Any="T5Tokenizer"							,  lowerCAmelCase__  :				Any=True							,  lowerCAmelCase__  :				Dict=0							,  lowerCAmelCase__  :				Any=1							,  lowerCAmelCase__  :				Union[str, Any]=0							,  **lowerCAmelCase__  :				int							,  ):





					"""simple docstring"""






					super().__init__(
					    is_encoder_decoder=lowerCAmelCase__							,  tokenizer_class=lowerCAmelCase__							,  tie_word_embeddings=lowerCAmelCase__							,  pad_token_id=lowerCAmelCase__							,  eos_token_id=lowerCAmelCase__							,  decoder_start_token_id=lowerCAmelCase__							,  **lowerCAmelCase__							,  )
					__SCREAMING_SNAKE_CASE :	List[str]					 =	vocab_size
					__SCREAMING_SNAKE_CASE :	int					 =	d_model
					__SCREAMING_SNAKE_CASE :	Tuple					 =	d_kv
					__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	d_ff
					__SCREAMING_SNAKE_CASE :	Any					 =	num_layers
					__SCREAMING_SNAKE_CASE :	Any					 =	(
					    num_decoder_layers if num_decoder_layers is not None else self.num_layers
					)  # default = symmetry
					__SCREAMING_SNAKE_CASE :	str					 =	num_heads
					__SCREAMING_SNAKE_CASE :	Any					 =	relative_attention_num_buckets
					__SCREAMING_SNAKE_CASE :	List[str]					 =	relative_attention_max_distance
					__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	dropout_rate
					__SCREAMING_SNAKE_CASE :	Tuple					 =	layer_norm_epsilon
					__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	initializer_factor
					__SCREAMING_SNAKE_CASE :	List[str]					 =	feed_forward_proj
					__SCREAMING_SNAKE_CASE :	Optional[int]					 =	use_cache

					__SCREAMING_SNAKE_CASE :	Dict					 =	self.feed_forward_proj.split("""-"""		)
					__SCREAMING_SNAKE_CASE :	List[Any]					 =	act_info[-1]
					__SCREAMING_SNAKE_CASE :	Optional[int]					 =	act_info[0] == """gated"""

					if len(lowerCAmelCase__		) > 1 and act_info[0] != "gated" or len(lowerCAmelCase__		) > 2:
							raise ValueError(
							    F"`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer."
							    """Please make sure `feed_forward_proj` is of the format `gated-{ACT_FN}` or `{ACT_FN}`, e.g. """
							    """'gated-gelu' or 'relu'"""		)

					if feed_forward_proj == "gated-gelu":
							__SCREAMING_SNAKE_CASE :	Optional[int]					 =	"""gelu_new"""

			@property
			def UpperCamelCase__      (							self  :				int		):





					"""simple docstring"""






					return self.d_model

			@property
			def UpperCamelCase__      (							self  :				Dict		):





					"""simple docstring"""






					return self.num_heads



			@property
			def UpperCamelCase__      (							self  :				int		):





					"""simple docstring"""






					return self.num_layers






class 		_UpperCamelCase						(							lowerCamelCase__					):


			'''simple docstring'''

			@property
			# Copied from transformers.models.t5.configuration_t5.T5OnnxConfig.inputs
			def UpperCamelCase__      (							self  :				Optional[Any]		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	{
					    """input_ids""": {0: """batch""", 1: """encoder_sequence"""},
					    """attention_mask""": {0: """batch""", 1: """encoder_sequence"""},
					}
					if self.use_past:
							__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	"""past_encoder_sequence + sequence"""
							__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	{0: """batch"""}
							__SCREAMING_SNAKE_CASE :	List[Any]					 =	{0: """batch""", 1: """past_decoder_sequence + sequence"""}
					else:
							__SCREAMING_SNAKE_CASE :	str					 =	{0: """batch""", 1: """decoder_sequence"""}
							__SCREAMING_SNAKE_CASE :	List[Any]					 =	{0: """batch""", 1: """decoder_sequence"""}

					if self.use_past:
							self.fill_with_past_key_values_(lowerCAmelCase__							,  direction="""inputs"""		)

					return common_inputs

			@property
			# Copied from transformers.models.t5.configuration_t5.T5OnnxConfig.default_onnx_opset
			def UpperCamelCase__      (							self  :				Dict		):





					"""simple docstring"""






					return 1_3



			@property
			def UpperCamelCase__      (							self  :				int		):





					"""simple docstring"""






					return 5E-4







'''simple docstring'''




from unittest.mock import Mock, patch

from file_transfer.send_file import send_file


@patch("""socket.socket"""      )
@patch("""builtins.open"""      )
def        lowerCAmelCase_     (			_lowerCamelCase:     Dict ,   _lowerCamelCase:     List[Any]      ):
		# ===== initialization =====
		__SCREAMING_SNAKE_CASE :	Optional[int]					 =	Mock()
		__SCREAMING_SNAKE_CASE :	Optional[int]					 =	conn, Mock()
		__SCREAMING_SNAKE_CASE :	str					 =	iter([1, None]      )
		__SCREAMING_SNAKE_CASE :	Any					 =	lambda _lowerCamelCase      : next(_lowerCamelCase      )

		# ===== invoke =====
		send_file(filename="""mytext.txt""" ,   testing=_lowerCamelCase      )

		# ===== ensurance =====
		sock.assert_called_once()
		sock.return_value.bind.assert_called_once()
		sock.return_value.listen.assert_called_once()
		sock.return_value.accept.assert_called_once()
		conn.recv.assert_called_once()

		file.return_value.__enter__.assert_called_once()
		file.return_value.__enter__.return_value.read.assert_called()

		conn.send.assert_called_once()
		conn.close.assert_called_once()
		sock.return_value.shutdown.assert_called_once()
		sock.return_value.close.assert_called_once()