


"""simple docstring"""


import copy
import re
class   _UpperCamelCase  :
							'''simple docstring'''







							__UpperCAmelCase						:    Tuple				      ="""hp"""
							__UpperCAmelCase						:    int				      ={}
							__UpperCAmelCase						:    Tuple				      =None

							@classmethod
							def 			snake_case				(     cls    ,   __a    ,   __a	):
										__lowerCAmelCase				    =			prefix
										__lowerCAmelCase				    =			defaults
										cls.build_naming_info()

							@staticmethod
							def 			snake_case				(     __a    ,   __a	):
										if len(__a	) == 0:
													return ""
										__lowerCAmelCase				    =			None
										if any(char.isdigit() for char in word	):
													raise Exception(f"Parameters should not contain numbers: '{word}' contains a number"	)
										if word in info["short_word"]:
													return info["short_word"][word]
										for prefix_len in range(1    ,   len(__a	) + 1	):
													__lowerCAmelCase				    =			word[:prefix_len]
													if prefix in info["reverse_short_word"]:
																continue
													else:
																__lowerCAmelCase				    =			prefix
																break

										if short_word is None:
													# Paranoid fallback
													def int_to_alphabetic(__a	):
																__lowerCAmelCase				    =			""
																while integer != 0:
																			__lowerCAmelCase				    =			chr(ord("A"	) + integer % 10	) + s
																			integer //= 10
																return s

													__lowerCAmelCase				    =			0
													while True:
																__lowerCAmelCase				    =			word + "#" + int_to_alphabetic(__a	)
																if sword in info["reverse_short_word"]:
																			continue
																else:
																			__lowerCAmelCase				    =			sword
																			break

										__lowerCAmelCase				    =			short_word
										__lowerCAmelCase				    =			word
										return short_word

							@staticmethod
							def 			snake_case				(     __a    ,   __a	):
										__lowerCAmelCase				    =			param_name.split("_"	)

										__lowerCAmelCase				    =			[TrialShortNamer.shortname_for_word(__a    ,   __a	) for word in words]

										# We try to create a separatorless short name, but if there is a collision we have to fallback
										# to a separated short name
										__lowerCAmelCase				    =			["", "_"]

										for separator in separators:
													__lowerCAmelCase				    =			separator.join(__a	)
													if shortname not in info["reverse_short_param"]:
																__lowerCAmelCase				    =			shortname
																__lowerCAmelCase				    =			param_name
																return shortname

										return param_name

							@staticmethod
							def 			snake_case				(     __a    ,   __a	):
										__lowerCAmelCase				    =			TrialShortNamer.shortname_for_key(__a    ,   __a	)
										__lowerCAmelCase				    =			short_name
										__lowerCAmelCase				    =			param_name

							@classmethod
							def 			snake_case				(     cls	):
										if cls.NAMING_INFO is not None:
													return

										__lowerCAmelCase				    =			{
										    "short_word": {},
										    "reverse_short_word": {},
										    "short_param": {},
										    "reverse_short_param": {},
										}

										__lowerCAmelCase				    =			list(cls.DEFAULTS.keys()	)

										for k in field_keys:
													cls.add_new_param_name(__a    ,   __a	)

										__lowerCAmelCase				    =			info

							@classmethod
							def 			snake_case				(     cls    ,   __a	):
										cls.build_naming_info()
										assert cls.PREFIX is not None
										__lowerCAmelCase				    =			[copy.copy(cls.PREFIX	)]

										for k, v in params.items():
													if k not in cls.DEFAULTS:
																raise Exception(f"You should provide a default value for the param name {k} with value {v}"	)
													if v == cls.DEFAULTS[k]:
																# The default value is not added to the name
																continue

													__lowerCAmelCase				    =			cls.NAMING_INFO["short_param"][k]

													if isinstance(__a    ,   __a	):
																__lowerCAmelCase				    =			1 if v else 0

													__lowerCAmelCase				    =			"" if isinstance(__a    ,   (int, float)	) else "-"
													__lowerCAmelCase				    =			f"{key}{sep}{v}"
													name.append(__a	)

										return "_".join(__a	)



							@classmethod
							def 			snake_case				(     cls    ,   __a	):
										__lowerCAmelCase				    =			repr[len(cls.PREFIX	) + 1 :]
										if repr == "":
													__lowerCAmelCase				    =			[]
										else:
													__lowerCAmelCase				    =			repr.split("_"	)

										__lowerCAmelCase				    =			{}

										for value in values:
													if "-" in value:
																__lowerCAmelCase    ,	__lowerCAmelCase				    =			value.split("-"	)
													else:
																__lowerCAmelCase				    =			re.sub("[0-9.]"    ,   ""    ,   __a	)
																__lowerCAmelCase				    =			float(re.sub("[^0-9.]"    ,   ""    ,   __a	)	)

													__lowerCAmelCase				    =			cls.NAMING_INFO["reverse_short_param"][p_k]

													__lowerCAmelCase				    =			p_v

										for k in cls.DEFAULTS:
													if k not in parameters:
																__lowerCAmelCase				    =			cls.DEFAULTS[k]

										return parameters








"""simple docstring"""


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


A     :   Tuple			    =			{
    "configuration_blenderbot": [
        "BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BlenderbotConfig",
        "BlenderbotOnnxConfig",
    ],
    "tokenization_blenderbot": ["BlenderbotTokenizer"],
}

try:
	if not is_tokenizers_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A     :   Dict			    =			["BlenderbotTokenizerFast"]

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A     :   str			    =			[
	    "BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST",
	    "BlenderbotForCausalLM",
	    "BlenderbotForConditionalGeneration",
	    "BlenderbotModel",
	    "BlenderbotPreTrainedModel",
	]


try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A     :   List[str]			    =			[
	    "TFBlenderbotForConditionalGeneration",
	    "TFBlenderbotModel",
	    "TFBlenderbotPreTrainedModel",
	]


try:
	if not is_flax_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A     :   List[str]			    =			[
	    "FlaxBlenderbotForConditionalGeneration",
	    "FlaxBlenderbotModel",
	    "FlaxBlenderbotPreTrainedModel",
	]


if TYPE_CHECKING:
	from .configuration_blenderbot import (
	    BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    BlenderbotConfig,
	    BlenderbotOnnxConfig,
	)
	from .tokenization_blenderbot import BlenderbotTokenizer

	try:
		if not is_tokenizers_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_blenderbot_fast import BlenderbotTokenizerFast

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_blenderbot import (
		    BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST,
		    BlenderbotForCausalLM,
		    BlenderbotForConditionalGeneration,
		    BlenderbotModel,
		    BlenderbotPreTrainedModel,
		)

	try:
		if not is_tf_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_tf_blenderbot import (
		    TFBlenderbotForConditionalGeneration,
		    TFBlenderbotModel,
		    TFBlenderbotPreTrainedModel,
		)

	try:
		if not is_flax_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_flax_blenderbot import (
		    FlaxBlenderbotForConditionalGeneration,
		    FlaxBlenderbotModel,
		    FlaxBlenderbotPreTrainedModel,
		)

else:
	import sys

	A     :   Optional[Any]			    =			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




