

"""simple docstring"""





from typing import Dict, List, Optional

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


__UpperCamelCase    : Optional[Any]				 =						logging.get_logger(__name__)


__UpperCamelCase    : List[Any]				 =						{
    '''nielsr/canine-s''': 2_0_4_8,
}

# Unicode defines 1,114,112 total “codepoints”
__UpperCamelCase    : int				 =						1_1_1_4_1_1_2

# Below: Constants defining canonical codepoints for special, pseudo-characters.
# Copied from https://github.com/google-research/language/blob/master/language/canine/special_codepoints.py
__UpperCamelCase    : Tuple				 =						0

__UpperCamelCase    : List[str]				 =						0xE0_00
__UpperCamelCase    : Tuple				 =						0xE0_01
__UpperCamelCase    : Union[str, Any]				 =						0xE0_02
__UpperCamelCase    : Optional[int]				 =						0xE0_03
__UpperCamelCase    : Tuple				 =						0xE0_04

# Maps special codepoints to human-readable names.
__UpperCamelCase    : Dict[int, str]				 =						{
    # Special symbols are represented using codepoints values that are valid,
    # but designated as "Private Use", meaning that they will never be assigned
    # characters by the Unicode Consortium, and are thus safe for use here.
    #
    # NOTE: Do *NOT* add any sort of [UNK_CHAR] here. They are explicitly
    # excluded and should fail with a hard error.
    CLS: "[CLS]",
    SEP: "[SEP]",
    BOS: "[BOS]",
    MASK: "[MASK]",
    PAD: "[PAD]",
    RESERVED: "[RESERVED]",
}

# Maps special codepoint human-readable names to their codepoint values.
__UpperCamelCase    : Dict[str, int]				 =						{name: codepoint for codepoint, name in SPECIAL_CODEPOINTS.items()}







class 							SCREAMING_SNAKE_CASE   (						a_			):






					"""simple docstring"""



					lowercase__												=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES







					def __init__(			self     :							List[str]  ,lowercase_     :							int=chr(lowercase_						)  ,lowercase_     :							Optional[Any]=chr(lowercase_						)  ,lowercase_     :							Union[str, Any]=chr(lowercase_						)  ,lowercase_     :							Tuple=chr(lowercase_						)  ,lowercase_     :							str=chr(lowercase_						)  ,lowercase_     :							Optional[Any]=chr(lowercase_						)  ,lowercase_     :							Union[str, Any]=False  ,lowercase_     :							int=2_0_4_8  ,**lowercase_     :							Union[str, Any]  ,):
						lowerCAmelCase__      :		str    							=      AddedToken(lowercase_  ,lstrip=lowercase_  ,rstrip=lowercase_						) if isinstance(lowercase_  ,lowercase_						) else bos_token
						lowerCAmelCase__      :		Union[str, Any]    							=      AddedToken(lowercase_  ,lstrip=lowercase_  ,rstrip=lowercase_						) if isinstance(lowercase_  ,lowercase_						) else eos_token
						lowerCAmelCase__      :		int    							=      AddedToken(lowercase_  ,lstrip=lowercase_  ,rstrip=lowercase_						) if isinstance(lowercase_  ,lowercase_						) else sep_token
						lowerCAmelCase__      :		Union[str, Any]    							=      AddedToken(lowercase_  ,lstrip=lowercase_  ,rstrip=lowercase_						) if isinstance(lowercase_  ,lowercase_						) else cls_token
						lowerCAmelCase__      :		int    							=      AddedToken(lowercase_  ,lstrip=lowercase_  ,rstrip=lowercase_						) if isinstance(lowercase_  ,lowercase_						) else pad_token

						# Mask token behave like a normal word, i.e. include the space before it
						lowerCAmelCase__      :		List[str]    							=      AddedToken(lowercase_  ,lstrip=lowercase_  ,rstrip=lowercase_						) if isinstance(lowercase_  ,lowercase_						) else mask_token

						super().__init__(
						    bos_token=lowercase_  ,eos_token=lowercase_  ,sep_token=lowercase_  ,cls_token=lowercase_  ,pad_token=lowercase_  ,mask_token=lowercase_  ,add_prefix_space=lowercase_  ,model_max_length=lowercase_  ,**lowercase_  ,)

						# Creates a mapping for looking up the IDs of special symbols.
						lowerCAmelCase__      :		Dict[str, int]    							=      {}
						for codepoint, name in SPECIAL_CODEPOINTS.items():
							lowerCAmelCase__      :		Dict    							=      codepoint

						# Creates a mapping for looking up the string forms of special symbol IDs.
						lowerCAmelCase__      :		Dict[int, str]    							=      {
						    codepoint: name for name, codepoint in self._special_codepoints.items()
						}

						lowerCAmelCase__      :		Any    							=      UNICODE_VOCAB_SIZE
						lowerCAmelCase__      :		Tuple    							=      len(self._special_codepoints						)







					@property
					def 			__lowerCAmelCase					(			self     :							Dict						):
						return self._unicode_vocab_size







					def 			__lowerCAmelCase					(			self     :							Any  ,lowercase_     :							str						):
						return list(lowercase_						)







					def 			__lowerCAmelCase					(			self     :							Union[str, Any]  ,lowercase_     :							str						):
						try:
							return ord(lowercase_						)
						except TypeError:
							raise ValueError(F'invalid token: \'{token}\''						)







					def 			__lowerCAmelCase					(			self     :							Any  ,lowercase_     :							int						):
						try:
							if index in SPECIAL_CODEPOINTS:
								return SPECIAL_CODEPOINTS[index]
							return chr(lowercase_						)
						except TypeError:
							raise ValueError(F'invalid id: {index}'						)







					def 			__lowerCAmelCase					(			self     :							int  ,lowercase_     :							Optional[int]						):
						return "".join(lowercase_						)







					def 			__lowerCAmelCase					(			self     :							Any  ,lowercase_     :							List[int]  ,lowercase_     :							Optional[List[int]] = None						):
						lowerCAmelCase__      :		Dict    							=      [self.sep_token_id]
						lowerCAmelCase__      :		int    							=      [self.cls_token_id]

						lowerCAmelCase__      :		Dict    							=      cls + token_ids_a + sep
						if token_ids_a is not None:
							result += token_ids_a + sep
						return result







					def 			__lowerCAmelCase					(			self     :							List[str]  ,lowercase_     :							List[int]  ,lowercase_     :							Optional[List[int]] = None  ,lowercase_     :							bool = False						):
						if already_has_special_tokens:
							return super().get_special_tokens_mask(
							    token_ids_a=lowercase_  ,token_ids_a=lowercase_  ,already_has_special_tokens=lowercase_						)

						lowerCAmelCase__      :		int    							=      [1] + ([0] * len(lowercase_						)) + [1]
						if token_ids_a is not None:
							result += ([0] * len(lowercase_						)) + [1]
						return result







					def 			__lowerCAmelCase					(			self     :							Dict  ,lowercase_     :							List[int]  ,lowercase_     :							Optional[List[int]] = None						):
						lowerCAmelCase__      :		Any    							=      [self.sep_token_id]
						lowerCAmelCase__      :		List[Any]    							=      [self.cls_token_id]

						lowerCAmelCase__      :		Dict    							=      len(cls + token_ids_a + sep						) * [0]
						if token_ids_a is not None:
							result += len(token_ids_a + sep						) * [1]
						return result







					def 			__lowerCAmelCase					(			self     :							List[Any]  ,lowercase_     :							str  ,lowercase_     :							Optional[str] = None						):
						return ()







"""simple docstring"""





from typing import Mapping

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


__UpperCamelCase    : List[Any]				 =						logging.get_logger(__name__)

__UpperCamelCase    : Any				 =						{
    '''t5-small''': '''https://huggingface.co/t5-small/resolve/main/config.json''',
    '''t5-base''': '''https://huggingface.co/t5-base/resolve/main/config.json''',
    '''t5-large''': '''https://huggingface.co/t5-large/resolve/main/config.json''',
    '''t5-3b''': '''https://huggingface.co/t5-3b/resolve/main/config.json''',
    '''t5-11b''': '''https://huggingface.co/t5-11b/resolve/main/config.json''',
}







class 							SCREAMING_SNAKE_CASE   (						a_			):






					"""simple docstring"""



					lowercase__												=			"t5"
					lowercase__												=			["past_key_values"]
					lowercase__												=			{"hidden_size": "d_model", "num_attention_heads": "num_heads", "num_hidden_layers": "num_layers"}







					def __init__(			self     :							Tuple  ,lowercase_     :							Tuple=3_2_1_2_8  ,lowercase_     :							Union[str, Any]=5_1_2  ,lowercase_     :							Dict=6_4  ,lowercase_     :							Any=2_0_4_8  ,lowercase_     :							Dict=6  ,lowercase_     :							Dict=None  ,lowercase_     :							Dict=8  ,lowercase_     :							Optional[int]=3_2  ,lowercase_     :							List[Any]=1_2_8  ,lowercase_     :							Any=0.1  ,lowercase_     :							Optional[Any]=1E-6  ,lowercase_     :							Any=1.0  ,lowercase_     :							Dict="relu"  ,lowercase_     :							Tuple=True  ,lowercase_     :							List[Any]=True  ,lowercase_     :							Tuple=0  ,lowercase_     :							Optional[Any]=1  ,**lowercase_     :							Any  ,):
						lowerCAmelCase__      :		Tuple    							=      vocab_size
						lowerCAmelCase__      :		List[str]    							=      d_model
						lowerCAmelCase__      :		Union[str, Any]    							=      d_kv
						lowerCAmelCase__      :		List[Any]    							=      d_ff
						lowerCAmelCase__      :		int    							=      num_layers
						lowerCAmelCase__      :		Union[str, Any]    							=      (
						    num_decoder_layers if num_decoder_layers is not None else self.num_layers
						)  # default = symmetry
						lowerCAmelCase__      :		Any    							=      num_heads
						lowerCAmelCase__      :		Optional[int]    							=      relative_attention_num_buckets
						lowerCAmelCase__      :		Union[str, Any]    							=      relative_attention_max_distance
						lowerCAmelCase__      :		List[Any]    							=      dropout_rate
						lowerCAmelCase__      :		str    							=      layer_norm_epsilon
						lowerCAmelCase__      :		int    							=      initializer_factor
						lowerCAmelCase__      :		Dict    							=      feed_forward_proj
						lowerCAmelCase__      :		int    							=      use_cache

						lowerCAmelCase__      :		int    							=      self.feed_forward_proj.split('''-'''						)
						lowerCAmelCase__      :		str    							=      act_info[-1]
						lowerCAmelCase__      :		Tuple    							=      act_info[0] == '''gated'''

						if len(lowercase_						) > 1 and act_info[0] != "gated" or len(lowercase_						) > 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\''''						)

						# for backwards compatibility
						if feed_forward_proj == "gated-gelu":
							lowerCAmelCase__      :		Tuple    							=      '''gelu_new'''

						super().__init__(
						    pad_token_id=lowercase_  ,eos_token_id=lowercase_  ,is_encoder_decoder=lowercase_  ,**lowercase_  ,)







class 							SCREAMING_SNAKE_CASE   (						a_			):






					"""simple docstring"""



					@property
					def 			__lowerCAmelCase					(			self     :							List[Any]						):
						lowerCAmelCase__      :		int    							=      {
						    '''input_ids''': {0: '''batch''', 1: '''encoder_sequence'''},
						    '''attention_mask''': {0: '''batch''', 1: '''encoder_sequence'''},
						}
						if self.use_past:
							lowerCAmelCase__      :		Union[str, Any]    							=      '''past_encoder_sequence + sequence'''
							lowerCAmelCase__      :		List[Any]    							=      {0: '''batch'''}
							lowerCAmelCase__      :		Union[str, Any]    							=      {0: '''batch''', 1: '''past_decoder_sequence + sequence'''}
						else:
							lowerCAmelCase__      :		Union[str, Any]    							=      {0: '''batch''', 1: '''decoder_sequence'''}
							lowerCAmelCase__      :		Any    							=      {0: '''batch''', 1: '''decoder_sequence'''}

						if self.use_past:
							self.fill_with_past_key_values_(lowercase_  ,direction='''inputs'''						)

						return common_inputs







					@property
					def 			__lowerCAmelCase					(			self     :							Optional[int]						):
						return 1_3




