"""simple docstring"""






from pathlib import Path
from typing import List

from transformers import is_torch_available, is_vision_available
from transformers.testing_utils import get_tests_dir, is_tool_test
from transformers.tools.agent_types import AGENT_TYPE_MAPPING, AgentAudio, AgentImage, AgentText


if is_torch_available():
						import torch

if is_vision_available():
						from PIL import Image


lowerCAmelCase__  :  str						     =	['text', 'image', 'audio']



def   a_						(					lowerCamelCase       ):
				UpperCAmelCase__             =							[]

				for input_type in input_types:
								if input_type == "text":
												inputs.append('Text input'       )
								elif input_type == "image":
												inputs.append(
												    Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'       )       ) / '000000039769.png'       ).resize((5_1_2, 5_1_2)       )       )
								elif input_type == "audio":
												inputs.append(torch.ones(3_0_0_0       )       )
								elif isinstance(lowerCamelCase					,			lowerCamelCase       ):
												inputs.append(create_inputs(lowerCamelCase       )       )
								else:
												raise ValueError(f'''Invalid type requested: {input_type}'''       )

				return inputs



def   a_						(					lowerCamelCase       ):
				UpperCAmelCase__             =							[]

				for output in outputs:
								if isinstance(lowerCamelCase					,			(str, AgentText)       ):
												output_types.append('text'       )
								elif isinstance(lowerCamelCase					,			(Image.Image, AgentImage)       ):
												output_types.append('image'       )
								elif isinstance(lowerCamelCase					,			(torch.Tensor, AgentAudio)       ):
												output_types.append('audio'       )
								else:
												raise ValueError(f'''Invalid output: {output}'''       )

				return output_types







@is_tool_test
class 				snake_case       :




					"""simple docstring"""

					def 		__lowerCAmelCase						(				self   :	Any			):
									self.assertTrue(hasattr(self.tool    ,'inputs'			)			)
									self.assertTrue(hasattr(self.tool    ,'outputs'			)			)

									UpperCAmelCase__             =							self.tool.inputs
									for _input in inputs:
													if isinstance(_input    ,lowerCamelCase__			):
																	for __input in _input:
																					self.assertTrue(__input in authorized_types			)
													else:
																	self.assertTrue(_input in authorized_types			)

									UpperCAmelCase__             =							self.tool.outputs
									for _output in outputs:
													self.assertTrue(_output in authorized_types			)







					def 		__lowerCAmelCase						(				self   :	Any			):
									UpperCAmelCase__             =							create_inputs(self.tool.inputs			)
									UpperCAmelCase__             =							self.tool(*lowerCamelCase__			)

									# There is a single output
									if len(self.tool.outputs			) == 1:
													UpperCAmelCase__             =							[outputs]

									self.assertListEqual(output_types(lowerCamelCase__			)    ,self.tool.outputs			)







					def 		__lowerCAmelCase						(				self   :	List[str]			):
									self.assertTrue(hasattr(self.tool    ,'description'			)			)
									self.assertTrue(hasattr(self.tool    ,'default_checkpoint'			)			)
									self.assertTrue(self.tool.description.startswith('This is a tool that'			)			)







					def 		__lowerCAmelCase						(				self   :	Optional[int]			):
									UpperCAmelCase__             =							create_inputs(self.tool.inputs			)
									UpperCAmelCase__             =							self.tool(*lowerCamelCase__			)

									if not isinstance(lowerCamelCase__    ,lowerCamelCase__			):
													UpperCAmelCase__             =							[outputs]

									self.assertEqual(len(lowerCamelCase__			)    ,len(self.tool.outputs			)			)

									for output, output_type in zip(lowerCamelCase__    ,self.tool.outputs			):
													UpperCAmelCase__             =							AGENT_TYPE_MAPPING[output_type]
													self.assertTrue(isinstance(lowerCamelCase__    ,lowerCamelCase__			)			)







					def 		__lowerCAmelCase						(				self   :	Any			):
									UpperCAmelCase__             =							create_inputs(self.tool.inputs			)

									UpperCAmelCase__             =							[]

									for _input, input_type in zip(lowerCamelCase__    ,self.tool.inputs			):
													if isinstance(lowerCamelCase__    ,lowerCamelCase__			):
																	_inputs.append([AGENT_TYPE_MAPPING[_input_type](_input			) for _input_type in input_type]			)
													else:
																	_inputs.append(AGENT_TYPE_MAPPING[input_type](_input			)			)

        # Should not raise an error
									UpperCAmelCase__             =							self.tool(*lowerCamelCase__			)

									if not isinstance(lowerCamelCase__    ,lowerCamelCase__			):
													UpperCAmelCase__             =							[outputs]

									self.assertEqual(len(lowerCamelCase__			)    ,len(self.tool.outputs			)			)




"""simple docstring"""






import warnings
from typing import Dict, List, Optional, Tuple

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


lowerCAmelCase__  :  Optional[int]						     =	logging.get_logger(__name__)
class 				snake_case       ( __UpperCAmelCase				):




					"""simple docstring"""

					snake_case__				    = ["input_ids", "attention_mask"]







					def __init__(				self   :	Optional[int]    ,lowerCamelCase__   :	int="</s>"    ,lowerCamelCase__   :	str="<unk>"    ,lowerCamelCase__   :	Union[str, Any]="<pad>"    ,lowerCamelCase__   :	int=125    ,lowerCamelCase__   :	str=None    ,**lowerCamelCase__   :	Union[str, Any]    ,):
									# Add extra_ids to the special token list
									if extra_ids > 0 and additional_special_tokens is None:
													UpperCAmelCase__             =							[f'''<extra_id_{i}>''' for i in range(lowerCamelCase__			)]
									elif extra_ids > 0 and additional_special_tokens is not None:
													# Check that we have the right number of extra_id special tokens
													UpperCAmelCase__             =							len(set(filter(lambda lowerCamelCase__			: bool('extra_id' in str(lowerCamelCase__			)			)    ,lowerCamelCase__			)			)			)
													if extra_tokens != extra_ids:
																	raise ValueError(
																	    f'''Both extra_ids ({extra_ids}) and additional_special_tokens ({additional_special_tokens}) are'''
																	    ' provided to ByT5Tokenizer. In this case the additional_special_tokens must include the'
																	    ' extra_ids tokens'			)

									UpperCAmelCase__             =							AddedToken(lowerCamelCase__    ,lstrip=lowerCamelCase__    ,rstrip=lowerCamelCase__			) if isinstance(lowerCamelCase__    ,lowerCamelCase__			) else pad_token
									UpperCAmelCase__             =							AddedToken(lowerCamelCase__    ,lstrip=lowerCamelCase__    ,rstrip=lowerCamelCase__			) if isinstance(lowerCamelCase__    ,lowerCamelCase__			) else eos_token
									UpperCAmelCase__             =							AddedToken(lowerCamelCase__    ,lstrip=lowerCamelCase__    ,rstrip=lowerCamelCase__			) if isinstance(lowerCamelCase__    ,lowerCamelCase__			) else unk_token

									super().__init__(
									    eos_token=lowerCamelCase__    ,unk_token=lowerCamelCase__    ,pad_token=lowerCamelCase__    ,extra_ids=lowerCamelCase__    ,additional_special_tokens=lowerCamelCase__    ,**lowerCamelCase__    ,)

									UpperCAmelCase__             =							extra_ids

									UpperCAmelCase__             =							2**8  # utf is 8 bits

									# define special tokens dict
									UpperCAmelCase__             =							{
									    self.pad_token: 0,
									    self.eos_token: 1,
									    self.unk_token: 2,
									}
									UpperCAmelCase__             =							len(self.special_tokens_encoder			)
									UpperCAmelCase__             =							len(lowerCamelCase__			)
									for i, token in enumerate(lowerCamelCase__			):
													UpperCAmelCase__             =							self.vocab_size + i - n
									UpperCAmelCase__             =							{v: k for k, v in self.special_tokens_encoder.items()}







					@property
					def 		__lowerCAmelCase						(				self   :	Union[str, Any]			):
									return self._utf_vocab_size + self._num_special_tokens + self._extra_ids







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

									# normal case: some special tokens
									if token_ids_a is None:
													return ([0] * len(lowerCamelCase__			)) + [1]
									return ([0] * len(lowerCamelCase__			)) + [1] + ([0] * len(lowerCamelCase__			)) + [1]







					def 		__lowerCAmelCase						(				self   :	str    ,lowerCamelCase__   :	List[int]			):
									if len(lowerCamelCase__			) > 0 and token_ids[-1] == self.eos_token_id:
													warnings.warn(
													    f'''This sequence already has {self.eos_token}. In future versions this behavior may lead to duplicated'''
													    ' eos tokens being added.'			)
													return token_ids
									else:
													return token_ids + [self.eos_token_id]







					def 		__lowerCAmelCase						(				self   :	str    ,lowerCamelCase__   :	List[int]    ,lowerCamelCase__   :	Optional[List[int]] = None			):
									UpperCAmelCase__             =							[self.eos_token_id]

									if token_ids_a is None:
													return len(token_ids_a + eos			) * [0]
									return len(token_ids_a + eos + token_ids_a + eos			) * [0]







					def 		__lowerCAmelCase						(				self   :	Dict    ,lowerCamelCase__   :	List[int]    ,lowerCamelCase__   :	Optional[List[int]] = None			):
									UpperCAmelCase__             =							self._add_eos_if_not_present(lowerCamelCase__			)
									if token_ids_a is None:
													return token_ids_a
									else:
													UpperCAmelCase__             =							self._add_eos_if_not_present(lowerCamelCase__			)
													return token_ids_a + token_ids_a







					def 		__lowerCAmelCase						(				self   :	Optional[Any]    ,lowerCamelCase__   :	str			):
									UpperCAmelCase__             =							[chr(lowerCamelCase__			) for i in text.encode('utf-8'			)]
									return tokens







					def 		__lowerCAmelCase						(				self   :	List[Any]    ,lowerCamelCase__   :	str			):
									if token in self.special_tokens_encoder:
													UpperCAmelCase__             =							self.special_tokens_encoder[token]
									elif token in self.added_tokens_encoder:
													UpperCAmelCase__             =							self.added_tokens_encoder[token]
									elif len(lowerCamelCase__			) != 1:
													UpperCAmelCase__             =							self.unk_token_id
									else:
													UpperCAmelCase__             =							ord(lowerCamelCase__			) + self._num_special_tokens
									return token_id







					def 		__lowerCAmelCase						(				self   :	Union[str, Any]    ,lowerCamelCase__   :	Any			):
									if index in self.special_tokens_decoder:
													UpperCAmelCase__             =							self.special_tokens_decoder[index]
									else:
													UpperCAmelCase__             =							chr(index - self._num_special_tokens			)
									return token







					def 		__lowerCAmelCase						(				self   :	Optional[Any]    ,lowerCamelCase__   :	Union[str, Any]			):
									UpperCAmelCase__             =							b''
									for token in tokens:
													if token in self.special_tokens_decoder:
																	UpperCAmelCase__             =							self.special_tokens_decoder[token].encode('utf-8'			)
													elif token in self.added_tokens_decoder:
																	UpperCAmelCase__             =							self.special_tokens_decoder[token].encode('utf-8'			)
													elif token in self.special_tokens_encoder:
																	UpperCAmelCase__             =							token.encode('utf-8'			)
													elif token in self.added_tokens_encoder:
																	UpperCAmelCase__             =							token.encode('utf-8'			)
													else:
																	UpperCAmelCase__             =							bytes([ord(lowerCamelCase__			)]			)
													bstring += tok_string
									UpperCAmelCase__             =							bstring.decode('utf-8'    ,errors='ignore'			)
									return string







					def 		__lowerCAmelCase						(				self   :	str    ,lowerCamelCase__   :	str    ,lowerCamelCase__   :	Optional[str] = None			):
									return ()



