



import os
import tempfile
import unittest
import uuid
from pathlib import Path

from transformers.testing_utils import get_tests_dir, require_soundfile, require_torch, require_vision
from transformers.tools.agent_types import AgentAudio, AgentImage, AgentText
from transformers.utils import is_soundfile_availble, is_torch_available, is_vision_available


if is_torch_available():
       import torch

if is_soundfile_availble():
       import soundfile as sf

if is_vision_available():
       from PIL import Image

def   _lowerCAmelCase   (						A__=""	):
      lowercase__     =  tempfile.mkdtemp()
      return os.path.join(A__						,  str(uuid.uuida()	) + suffix	)



@require_soundfile
@require_torch
class       UpperCAmelCase__(							unittest.TestCase	):

   '''simple docstring'''




   def 			UpperCAmelCase		(						self  :			Tuple)	->				List[str]:




         """simple docstring"""

         lowercase__     =  torch.rand(12			,				dtype=torch.floataa) - 0.5
         lowercase__     =  AgentAudio(lowerCAmelCase)
         lowercase__     =  str(agent_type.to_string())

         # Ensure that the tensor and the agent_type's tensor are the same
         self.assertTrue(torch.allclose(lowerCAmelCase			,				agent_type.to_raw()			,				atol=1E-4))

         del agent_type

         # Ensure the path remains even after the object deletion
         self.assertTrue(os.path.exists(lowerCAmelCase))

         # Ensure that the file contains the same value as the original tensor
         lowercase__,	lowercase__     =  sf.read(lowerCAmelCase)
         self.assertTrue(torch.allclose(lowerCAmelCase			,				torch.tensor(lowerCAmelCase)			,				atol=1E-4))



   def 			UpperCAmelCase		(						self  :			Any)	->				str:




         """simple docstring"""

         lowercase__     =  torch.rand(12			,				dtype=torch.floataa) - 0.5
         lowercase__     =  get_new_path(suffix='.wav')
         sf.write(lowerCAmelCase			,				lowerCAmelCase			,				1_60_00)

         lowercase__     =  AgentAudio(lowerCAmelCase)

         self.assertTrue(torch.allclose(lowerCAmelCase			,				agent_type.to_raw()			,				atol=1E-4))
         self.assertEqual(agent_type.to_string()			,				lowerCAmelCase)



@require_vision
@require_torch
class       UpperCAmelCase__(							unittest.TestCase	):

   '''simple docstring'''




   def 			UpperCAmelCase		(						self  :			int)	->				Union[str, Any]:




         """simple docstring"""

         lowercase__     =  torch.randint(0			,				2_56			,				(64, 64, 3))
         lowercase__     =  AgentImage(lowerCAmelCase)
         lowercase__     =  str(agent_type.to_string())

         # Ensure that the tensor and the agent_type's tensor are the same
         self.assertTrue(torch.allclose(lowerCAmelCase			,				agent_type._tensor			,				atol=1E-4))

         self.assertIsInstance(agent_type.to_raw()			,				Image.Image)

         # Ensure the path remains even after the object deletion
         del agent_type
         self.assertTrue(os.path.exists(lowerCAmelCase))


   def 			UpperCAmelCase		(						self  :			Optional[Any])	->				Any:




         """simple docstring"""

         lowercase__     =  Path(get_tests_dir('fixtures/tests_samples/COCO')) / '000000039769.png'
         lowercase__     =  Image.open(lowerCAmelCase)
         lowercase__     =  AgentImage(lowerCAmelCase)

         self.assertTrue(path.samefile(agent_type.to_string()))
         self.assertTrue(image == agent_type.to_raw())

         # Ensure the path remains even after the object deletion
         del agent_type
         self.assertTrue(os.path.exists(lowerCAmelCase))



   def 			UpperCAmelCase		(						self  :			Dict)	->				List[Any]:




         """simple docstring"""

         lowercase__     =  Path(get_tests_dir('fixtures/tests_samples/COCO')) / '000000039769.png'
         lowercase__     =  Image.open(lowerCAmelCase)
         lowercase__     =  AgentImage(lowerCAmelCase)

         self.assertFalse(path.samefile(agent_type.to_string()))
         self.assertTrue(image == agent_type.to_raw())

         # Ensure the path remains even after the object deletion
         del agent_type
         self.assertTrue(os.path.exists(lowerCAmelCase))



class       UpperCAmelCase__(							unittest.TestCase	):

   '''simple docstring'''




   def 			UpperCAmelCase		(						self  :			Dict)	->				Optional[Any]:




         """simple docstring"""

         lowercase__     =  'Hey!'
         lowercase__     =  AgentText(lowerCAmelCase)

         self.assertEqual(lowerCAmelCase			,				agent_type.to_string())
         self.assertEqual(lowerCAmelCase			,				agent_type.to_raw())
         self.assertEqual(lowerCAmelCase			,				lowerCAmelCase)





import json
import os
from typing import Dict, List, Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


a__      :				Optional[int]   	=			logging.get_logger(__name__)


a__      :				Dict   	=			{
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
    "tokenizer_config_file": "tokenizer_config.json",
}

a__      :				str   	=			{
    "vocab_file": {
        "facebook/blenderbot_small-90M": "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json"
    },
    "merges_file": {
        "facebook/blenderbot_small-90M": "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt"
    },
    "tokenizer_config_file": {
        "facebook/blenderbot_small-90M": (
            "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json"
        )
    },
}

a__      :				Any   	=			{"facebook/blenderbot_small-90M": 5_12}

def   _lowerCAmelCase   (						A__	):
      lowercase__     =  set()
      lowercase__     =  word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)	)
            lowercase__     =  char

      lowercase__     =  set(A__	)
      return pairs



class       UpperCAmelCase__(							lowerCamelCase	):

   '''simple docstring'''




   A    :  List[str]       				=    VOCAB_FILES_NAMES
   A    :  str       				=    PRETRAINED_VOCAB_FILES_MAP
   A    :  int       				=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   A    :  Tuple       				=    ["input_ids", "attention_mask"]


   def __init__(						self  :			Optional[int]			,				lowerCAmelCase  :			Dict			,				lowerCAmelCase  :			Dict			,				lowerCAmelCase  :			int="__start__"			,				lowerCAmelCase  :			Dict="__end__"			,				lowerCAmelCase  :			Any="__unk__"			,				lowerCAmelCase  :			str="__null__"			,				**lowerCAmelCase  :			Optional[Any]			,				)	->				List[str]:




         """simple docstring"""

         super().__init__(unk_token=lowerCAmelCase			,				bos_token=lowerCAmelCase			,				eos_token=lowerCAmelCase			,				pad_token=lowerCAmelCase			,				**lowerCAmelCase)

         with open(lowerCAmelCase			,				encoding='utf-8') as vocab_handle:
               lowercase__     =  json.load(lowerCAmelCase)
         lowercase__     =  {v: k for k, v in self.encoder.items()}
         with open(lowerCAmelCase			,				encoding='utf-8') as merges_handle:
               lowercase__     =  merges_handle.read().split('\n')[1:-1]
         lowercase__     =  [tuple(merge.split()) for merge in merges]
         lowercase__     =  dict(zip(lowerCAmelCase			,				range(len(lowerCAmelCase))))
         lowercase__     =  {}


   @property
   def 			UpperCAmelCase		(						self  :			int)	->				int:




         """simple docstring"""

         return len(self.encoder)


   def 			UpperCAmelCase		(						self  :			str)	->				Dict:




         """simple docstring"""

         return dict(self.encoder			,				**self.added_tokens_encoder)


   def 			UpperCAmelCase		(						self  :			str			,				lowerCAmelCase  :			str)	->				str:




         """simple docstring"""

         if token in self.cache:
               return self.cache[token]
         lowercase__     =  re.sub('([.,!?()])'			,				R' \1'			,				lowerCAmelCase)
         lowercase__     =  re.sub('(\')'			,				R' \1 '			,				lowerCAmelCase)
         lowercase__     =  re.sub(R'\s{2,}'			,				' '			,				lowerCAmelCase)
         if "\n" in token:
               lowercase__     =  token.replace('\n'			,				' __newln__')

         lowercase__     =  token.split(' ')
         lowercase__     =  []
         for token in tokens:
               if not len(lowerCAmelCase):
                     continue

               lowercase__     =  token.lower()
               lowercase__     =  tuple(lowerCAmelCase)
               lowercase__     =  tuple(list(word[:-1]) + [word[-1] + '</w>'])
               lowercase__     =  get_pairs(lowerCAmelCase)

               if not pairs:
                     words.append(lowerCAmelCase)
                     continue

               while True:
                     lowercase__     =  min(lowerCAmelCase			,				key=lambda lowerCAmelCase: self.bpe_ranks.get(lowerCAmelCase			,				float('inf')))
                     if bigram not in self.bpe_ranks:
                           break
                     lowercase__,	lowercase__     =  bigram
                     lowercase__     =  []
                     lowercase__     =  0

                     while i < len(lowerCAmelCase):
                           try:
                                 lowercase__     =  word.index(lowerCAmelCase			,				lowerCAmelCase)
                                 new_word.extend(word[i:j])
                                 lowercase__     =  j
                           except ValueError:
                                 new_word.extend(word[i:])
                                 break

                           if word[i] == first and i < len(lowerCAmelCase) - 1 and word[i + 1] == second:
                                 new_word.append(first + second)
                                 i += 2
                           else:
                                 new_word.append(word[i])
                                 i += 1
                     lowercase__     =  tuple(lowerCAmelCase)
                     lowercase__     =  new_word
                     if len(lowerCAmelCase) == 1:
                           break
                     else:
                           lowercase__     =  get_pairs(lowerCAmelCase)
               lowercase__     =  '@@ '.join(lowerCAmelCase)
               lowercase__     =  word[:-4]

               lowercase__     =  word
               words.append(lowerCAmelCase)
         return " ".join(lowerCAmelCase)


   def 			UpperCAmelCase		(						self  :			List[str]			,				lowerCAmelCase  :			str)	->				List[str]:




         """simple docstring"""

         lowercase__     =  []

         lowercase__     =  re.findall(R'\S+\n?'			,				lowerCAmelCase)

         for token in words:
               split_tokens.extend(list(self.bpe(lowerCAmelCase).split(' ')))
         return split_tokens


   def 			UpperCAmelCase		(						self  :			int			,				lowerCAmelCase  :			str)	->				int:




         """simple docstring"""

         lowercase__     =  token.lower()
         return self.encoder.get(lowerCAmelCase			,				self.encoder.get(self.unk_token))


   def 			UpperCAmelCase		(						self  :			Optional[int]			,				lowerCAmelCase  :			int)	->				str:




         """simple docstring"""

         return self.decoder.get(lowerCAmelCase			,				self.unk_token)


   def 			UpperCAmelCase		(						self  :			Optional[Any]			,				lowerCAmelCase  :			List[str])	->				str:




         """simple docstring"""

         lowercase__     =  ' '.join(lowerCAmelCase).replace('@@ '			,				'').strip()
         return out_string



   def 			UpperCAmelCase		(						self  :			str			,				lowerCAmelCase  :			str			,				lowerCAmelCase  :			Optional[str] = None)	->				Tuple[str]:




         """simple docstring"""

         if not os.path.isdir(lowerCAmelCase):
               logger.error(f'''Vocabulary path ({save_directory}) should be a directory''')
               return
         lowercase__     =  os.path.join(
             lowerCAmelCase			,				(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'])
         lowercase__     =  os.path.join(
             lowerCAmelCase			,				(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file'])

         with open(lowerCAmelCase			,				'w'			,				encoding='utf-8') as f:
               f.write(json.dumps(self.encoder			,				indent=2			,				sort_keys=lowerCAmelCase			,				ensure_ascii=lowerCAmelCase) + '\n')

         lowercase__     =  0
         with open(lowerCAmelCase			,				'w'			,				encoding='utf-8') as writer:
               writer.write('#version: 0.2\n')
               for bpe_tokens, token_index in sorted(self.bpe_ranks.items()			,				key=lambda lowerCAmelCase: kv[1]):
                     if index != token_index:
                           logger.warning(
                               f'''Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'''
                               ' Please check that the tokenizer is not corrupted!')
                           lowercase__     =  token_index
                     writer.write(' '.join(lowerCAmelCase) + '\n')
                     index += 1

         return vocab_file, merge_file
