
"""simple docstring"""







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				(_UpperCamelCase=""		):
	__lowerCAmelCase			:						Optional[int]									=      tempfile.mkdtemp()
	return os.path.join(_UpperCamelCase       ,  str(uuid.uuida()		) + suffix		)




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

		def 							__lowerCamelCase							(      self ):
			__lowerCAmelCase			:						Dict									=      torch.rand(12       ,		dtype=torch.floataa ) - 0.5
			__lowerCAmelCase			:						Optional[Any]									=      AgentAudio(_SCREAMING_SNAKE_CASE )
			__lowerCAmelCase			:						Optional[Any]									=      str(agent_type.to_string() )

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

			del agent_type

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

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







		def 							__lowerCamelCase							(      self ):
			__lowerCAmelCase			:						Optional[Any]									=      torch.rand(12       ,		dtype=torch.floataa ) - 0.5
			__lowerCAmelCase			:						int									=      get_new_path(suffix='.wav' )
			sf.write(_SCREAMING_SNAKE_CASE       ,		_SCREAMING_SNAKE_CASE       ,		1_60_00 )

			__lowerCAmelCase			:						int									=      AgentAudio(_SCREAMING_SNAKE_CASE )

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




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

		def 							__lowerCamelCase							(      self ):
			__lowerCAmelCase			:						Optional[Any]									=      torch.randint(0       ,		2_56       ,		(64, 64, 3) )
			__lowerCAmelCase			:						int									=      AgentImage(_SCREAMING_SNAKE_CASE )
			__lowerCAmelCase			:						List[str]									=      str(agent_type.to_string() )

			# Ensure that the tensor and the agent_type's tensor are the same
			self.assertTrue(torch.allclose(_SCREAMING_SNAKE_CASE       ,		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(_SCREAMING_SNAKE_CASE ) )

		def 							__lowerCamelCase							(      self ):
			__lowerCAmelCase			:						Any									=      Path(get_tests_dir('fixtures/tests_samples/COCO' ) ) / '000000039769.png'
			__lowerCAmelCase			:						Tuple									=      Image.open(_SCREAMING_SNAKE_CASE )
			__lowerCAmelCase			:						List[Any]									=      AgentImage(_SCREAMING_SNAKE_CASE )

			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(_SCREAMING_SNAKE_CASE ) )







		def 							__lowerCamelCase							(      self ):
			__lowerCAmelCase			:						Any									=      Path(get_tests_dir('fixtures/tests_samples/COCO' ) ) / '000000039769.png'
			__lowerCAmelCase			:						Any									=      Image.open(_SCREAMING_SNAKE_CASE )
			__lowerCAmelCase			:						Optional[int]									=      AgentImage(_SCREAMING_SNAKE_CASE )

			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(_SCREAMING_SNAKE_CASE ) )




class  A__       (	unittest.TestCase):

		def 							__lowerCamelCase							(      self ):
			__lowerCAmelCase			:						List[str]									=      'Hey!'
			__lowerCAmelCase			:						Optional[Any]									=      AgentText(_SCREAMING_SNAKE_CASE )

			self.assertEqual(_SCREAMING_SNAKE_CASE       ,		agent_type.to_string() )
			self.assertEqual(_SCREAMING_SNAKE_CASE       ,		agent_type.to_raw() )
			self.assertEqual(_SCREAMING_SNAKE_CASE       ,		_SCREAMING_SNAKE_CASE )
from __future__ import annotations


class      lowerCamelCase    :
  """simple docstring"""







  def __init__(							self       :				Union[str, Any]     ,   __magic_name__       :				str     ,   __magic_name__       :				str      )     ->		Dict:
        SCREAMING_SNAKE_CASE_   ,       SCREAMING_SNAKE_CASE_      =     text, pattern
        SCREAMING_SNAKE_CASE_   ,       SCREAMING_SNAKE_CASE_      =     len(__magic_name__      ), len(__magic_name__      )







  def       __A   (							self       :				List[str]     ,   __magic_name__       :				str      )     ->		int:

        for i in range(self.patLen - 1     ,   -1     ,   -1      ):
              if char == self.pattern[i]:
                    return i
        return -1







  def       __A   (							self       :				Dict     ,   __magic_name__       :				int      )     ->		int:

        for i in range(self.patLen - 1     ,   -1     ,   -1      ):
              if self.pattern[i] != self.text[current_pos + i]:
                    return current_pos + i
        return -1







  def       __A   (							self       :				Tuple      )     ->		list[int]:
        # searches pattern in text and returns index positions
        SCREAMING_SNAKE_CASE_      =     []
        for i in range(self.textLen - self.patLen + 1      ):
              SCREAMING_SNAKE_CASE_      =     self.mismatch_in_text(__magic_name__      )
              if mismatch_index == -1:
                    positions.append(__magic_name__      )
              else:
                    SCREAMING_SNAKE_CASE_      =     self.match_in_pattern(self.text[mismatch_index]      )
                    SCREAMING_SNAKE_CASE_      =     (
                        mismatch_index - match_index
                    )  # shifting index lgtm [py/multiple-definition]
        return positions



A   :     Dict       =				"ABAABA"
A   :     Union[str, Any]       =				"AB"
A   :     str       =				BoyerMooreSearch(text, pattern)
A   :     Tuple       =				bms.bad_character_heuristic()

if len(positions) == 0:
      print("No match found")
else:
      print("Pattern found in following positions: ")
      print(positions)


