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_  (		lowercase:				Any=""		)     ->					str:







 '''simple docstring'''
 _UpperCamelCase:  Optional[int]    						=			tempfile.mkdtemp()
 return os.path.join(lowercase	,       str(uuid.uuida()		) + suffix		)




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





   """simple docstring"""




   def 	lowerCAmelCase    (						self       :	Optional[int]				):



    """simple docstring"""



    _UpperCamelCase:  Optional[Any]    						=			torch.rand(12		,	dtype=torch.floataa				) - 0.5
    _UpperCamelCase:  Union[str, Any]    						=			AgentAudio(_lowercase				)
    _UpperCamelCase:  str    						=			str(agent_type.to_string()				)

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

    del agent_type

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

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



   def 	lowerCAmelCase    (						self       :	Any				):



    """simple docstring"""



    _UpperCamelCase:  List[Any]    						=			torch.rand(12		,	dtype=torch.floataa				) - 0.5
    _UpperCamelCase:  Optional[int]    						=			get_new_path(suffix='''.wav'''				)
    sf.write(_lowercase		,	_lowercase		,	16_000				)

    _UpperCamelCase:  List[Any]    						=			AgentAudio(_lowercase				)

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




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





   """simple docstring"""




   def 	lowerCAmelCase    (						self       :	Tuple				):



    """simple docstring"""



    _UpperCamelCase:  str    						=			torch.randint(0		,	256		,	(64, 64, 3)				)
    _UpperCamelCase:  List[str]    						=			AgentImage(_lowercase				)
    _UpperCamelCase:  Dict    						=			str(agent_type.to_string()				)

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



   def 	lowerCAmelCase    (						self       :	Dict				):



    """simple docstring"""



    _UpperCamelCase:  Dict    						=			Path(get_tests_dir('''fixtures/tests_samples/COCO'''				)				) / '''000000039769.png'''
    _UpperCamelCase:  Any    						=			Image.open(_lowercase				)
    _UpperCamelCase:  str    						=			AgentImage(_lowercase				)

    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(_lowercase				)				)



   def 	lowerCAmelCase    (						self       :	Any				):



    """simple docstring"""



    _UpperCamelCase:  Any    						=			Path(get_tests_dir('''fixtures/tests_samples/COCO'''				)				) / '''000000039769.png'''
    _UpperCamelCase:  Any    						=			Image.open(_lowercase				)
    _UpperCamelCase:  str    						=			AgentImage(_lowercase				)

    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(_lowercase				)				)




class 			__magic_name__	(		unittest.TestCase     ):





   """simple docstring"""




   def 	lowerCAmelCase    (						self       :	Any				):



    """simple docstring"""



    _UpperCamelCase:  Tuple    						=			'''Hey!'''
    _UpperCamelCase:  Any    						=			AgentText(_lowercase				)

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

import csv

import requests
from bsa import BeautifulSoup




def    lowerCAmelCase_  (		lowercase:				str = ""		)     ->					dict[str, float]:







 '''simple docstring'''
 _UpperCamelCase:  Tuple    						=			url or '''https://www.imdb.com/chart/top/?ref_=nv_mv_250'''
 _UpperCamelCase:  Union[str, Any]    						=			BeautifulSoup(requests.get(lowercase		).text	,       '''html.parser'''		)
 _UpperCamelCase:  List[Any]    						=			soup.find_all('''td'''	,       attrs='''titleColumn'''		)
 _UpperCamelCase:  str    						=			soup.find_all('''td'''	,       class_='''ratingColumn imdbRating'''		)
 return {
     title.a.text: float(rating.strong.text		)
     for title, rating in zip(lowercase	,       lowercase		)
 }




def    lowerCAmelCase_  (		lowercase:				str = "IMDb_Top_250_Movies.csv"		)     ->					None:







 '''simple docstring'''
 _UpperCamelCase:  Any    						=			get_imdb_top_aaa_movies()
 with open(lowercase	,       '''w'''	,       newline=''''''		) as out_file:
  _UpperCamelCase:  Optional[Any]    						=			csv.writer(lowercase		)
  writer.writerow(['''Movie title''', '''IMDb rating''']		)
  for title, rating in movies.items():
   writer.writerow([title, rating]		)


if __name__ == "__main__":
  write_movies()