



"""simple docstring"""

from argparse import ArgumentParser

from . import BaseTransformersCLICommand




def __lowercase			(							_a    ):
    return DownloadCommand(args.model		,			args.cache_dir		,			args.force		,			args.trust_remote_code    )






class        _UpperCAmelCase       (			lowerCAmelCase__):

 @staticmethod
 def 						_snake_case					(     lowercase_		:       ArgumentParser				):
     snake_case_ :     Dict				=	parser.add_parser('''download'''				)
     download_parser.add_argument(
         '''--cache-dir'''  ,     type=lowercase_  ,     default=lowercase_  ,     help='''Path to location to store the models'''				)
     download_parser.add_argument(
         '''--force'''  ,     action='''store_true'''  ,     help='''Force the model to be download even if already in cache-dir'''				)
     download_parser.add_argument(
         '''--trust-remote-code'''  ,     action='''store_true'''  ,     help='''Whether or not to allow for custom models defined on the Hub in their own modeling files. Use only if you\'ve reviewed the code as it will execute on your local machine'''  ,     )
     download_parser.add_argument('''model'''  ,     type=lowercase_  ,     help='''Name of the model to download'''				)
     download_parser.set_defaults(func=lowercase_				)

 def __init__(     self		:       Optional[int]  ,     lowercase_		:       str  ,     lowercase_		:       str  ,     lowercase_		:       bool  ,     lowercase_		:       bool				):
     snake_case_ :     int				=	model
     snake_case_ :     Tuple				=	cache
     snake_case_ :     List[Any]				=	force
     snake_case_ :     Optional[Any]				=	trust_remote_code






 def 						_snake_case					(     self		:       Union[str, Any]				):
     from ..models.auto import AutoModel, AutoTokenizer

     AutoModel.from_pretrained(
         self._model  ,     cache_dir=self._cache  ,     force_download=self._force  ,     trust_remote_code=self._trust_remote_code				)
     AutoTokenizer.from_pretrained(
         self._model  ,     cache_dir=self._cache  ,     force_download=self._force  ,     trust_remote_code=self._trust_remote_code				)










"""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 __lowercase			(							_a=""    ):
    snake_case_ :     List[str]				=	tempfile.mkdtemp()
    return os.path.join(_a		,			str(uuid.uuida()    ) + suffix    )




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

 def 						_snake_case					(     self		:       str				):
     snake_case_ :     int				=	torch.rand(12  ,     dtype=torch.floataa				) - 0.5
     snake_case_ :     Optional[int]				=	AgentAudio(lowercase_				)
     snake_case_ :     List[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
     snake_case_,	snake_case_ :     int				=	sf.read(lowercase_				)
     self.assertTrue(torch.allclose(lowercase_  ,     torch.tensor(lowercase_				)  ,     atol=1E-4				)				)






 def 						_snake_case					(     self		:       Optional[int]				):
     snake_case_ :     Any				=	torch.rand(12  ,     dtype=torch.floataa				) - 0.5
     snake_case_ :     List[str]				=	get_new_path(suffix='''.wav'''				)
     sf.write(lowercase_  ,     lowercase_  ,     16000				)

     snake_case_ :     Tuple				=	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        _UpperCAmelCase       (			unittest.TestCase):

 def 						_snake_case					(     self		:       Tuple				):
     snake_case_ :     List[Any]				=	torch.randint(0  ,     256  ,     (64, 64, 3)				)
     snake_case_ :     str				=	AgentImage(lowercase_				)
     snake_case_ :     Union[str, Any]				=	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 						_snake_case					(     self		:       str				):
     snake_case_ :     Any				=	Path(get_tests_dir('''fixtures/tests_samples/COCO'''				)				) / '''000000039769.png'''
     snake_case_ :     Optional[int]				=	Image.open(lowercase_				)
     snake_case_ :     Tuple				=	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 						_snake_case					(     self		:       str				):
     snake_case_ :     int				=	Path(get_tests_dir('''fixtures/tests_samples/COCO'''				)				) / '''000000039769.png'''
     snake_case_ :     Dict				=	Image.open(lowercase_				)
     snake_case_ :     List[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        _UpperCAmelCase       (			unittest.TestCase):

 def 						_snake_case					(     self		:       Any				):
     snake_case_ :     Tuple				=	'''Hey!'''
     snake_case_ :     Optional[Any]				=	AgentText(lowercase_				)

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





