
"""simple docstring"""





import json
import os
import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_vision
from transformers.utils import IMAGE_PROCESSOR_NAME, is_vision_available


if is_vision_available():
    from PIL import Image

    from transformers import CLIPImageProcessor, CLIPProcessor


@require_vision
class A_	(unittest.TestCase      ):




  '''simple docstring'''







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					Optional[Any]			     =    tempfile.mkdtemp()

     # fmt: off
     UpperCAmelCase_					:					Union[str, Any]			     =    ["l", "o", "w", "e", "r", "s", "t", "i", "d", "n", "lo", "l</w>", "w</w>", "r</w>", "t</w>", "low</w>", "er</w>", "lowest</w>", "newer</w>", "wider", "<unk>", "<|startoftext|>", "<|endoftext|>"]
     # fmt: on
     UpperCAmelCase_					:					Tuple			     =    dict(zip(lowercase_				,   range(len(lowercase_  )  )  )  )
     UpperCAmelCase_					:					List[Any]			     =    ["#version: 0.2", "l o", "lo w</w>", "e r</w>", ""]
     UpperCAmelCase_					:					int			     =    {"unk_token": "<unk>"}

     UpperCAmelCase_					:					str			     =    os.path.join(self.tmpdirname				,   VOCAB_FILES_NAMES["vocab_file"]  )
     UpperCAmelCase_					:					Dict			     =    os.path.join(self.tmpdirname				,   VOCAB_FILES_NAMES["merges_file"]  )
     with open(self.vocab_file				,   "w"				,   encoding="utf-8"  ) as fp:
        fp.write(json.dumps(lowercase_  ) + "\n"  )
     with open(self.merges_file				,   "w"				,   encoding="utf-8"  ) as fp:
        fp.write("\n".join(lowercase_  )  )

     UpperCAmelCase_					:					List[Any]			     =    {
         "do_resize": True,
         "size": 20,
         "do_center_crop": True,
         "crop_size": 18,
         "do_normalize": True,
         "image_mean": [0.48_14_54_66, 0.4_57_82_75, 0.40_82_10_73],
         "image_std": [0.26_86_29_54, 0.26_13_02_58, 0.27_57_77_11],
     }
     UpperCAmelCase_					:					Tuple			     =    os.path.join(self.tmpdirname				,   lowercase_  )
     with open(self.image_processor_file				,   "w"				,   encoding="utf-8"  ) as fp:
        json.dump(lowercase_				,   lowercase_  )







  def        UpperCamelCase__					(		self				,   **lowercase_  ):

     """simple docstring"""
     return CLIPTokenizer.from_pretrained(self.tmpdirname				,   **lowercase_  )







  def        UpperCamelCase__					(		self				,   **lowercase_  ):

     """simple docstring"""
     return CLIPTokenizerFast.from_pretrained(self.tmpdirname				,   **lowercase_  )







  def        UpperCamelCase__					(		self				,   **lowercase_  ):

     """simple docstring"""
     return CLIPImageProcessor.from_pretrained(self.tmpdirname				,   **lowercase_  )







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     shutil.rmtree(self.tmpdirname  )







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					int			     =    [np.random.randint(255				,   size=(3, 30, 400)				,   dtype=np.uinta  )]

     UpperCAmelCase_					:					Optional[Any]			     =    [Image.fromarray(np.moveaxis(lowercase_				,   0				,   -1  )  ) for x in image_inputs]

     return image_inputs







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					List[Any]			     =    self.get_tokenizer()
     UpperCAmelCase_					:					Tuple			     =    self.get_rust_tokenizer()
     UpperCAmelCase_					:					Tuple			     =    self.get_image_processor()

     UpperCAmelCase_					:					List[str]			     =    CLIPProcessor(tokenizer=lowercase_				,   image_processor=lowercase_  )
     processor_slow.save_pretrained(self.tmpdirname  )
     UpperCAmelCase_					:					Union[str, Any]			     =    CLIPProcessor.from_pretrained(self.tmpdirname				,   use_fast=lowercase_  )

     UpperCAmelCase_					:					int			     =    CLIPProcessor(tokenizer=lowercase_				,   image_processor=lowercase_  )
     processor_fast.save_pretrained(self.tmpdirname  )
     UpperCAmelCase_					:					Union[str, Any]			     =    CLIPProcessor.from_pretrained(self.tmpdirname  )

     self.assertEqual(processor_slow.tokenizer.get_vocab()				,   tokenizer_slow.get_vocab()  )
     self.assertEqual(processor_fast.tokenizer.get_vocab()				,   tokenizer_fast.get_vocab()  )
     self.assertEqual(tokenizer_slow.get_vocab()				,   tokenizer_fast.get_vocab()  )
     self.assertIsInstance(processor_slow.tokenizer				,   lowercase_  )
     self.assertIsInstance(processor_fast.tokenizer				,   lowercase_  )

     self.assertEqual(processor_slow.image_processor.to_json_string()				,   image_processor.to_json_string()  )
     self.assertEqual(processor_fast.image_processor.to_json_string()				,   image_processor.to_json_string()  )
     self.assertIsInstance(processor_slow.image_processor				,   lowercase_  )
     self.assertIsInstance(processor_fast.image_processor				,   lowercase_  )







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					Tuple			     =    CLIPProcessor(tokenizer=self.get_tokenizer()				,   image_processor=self.get_image_processor()  )
     processor.save_pretrained(self.tmpdirname  )

     UpperCAmelCase_					:					int			     =    self.get_tokenizer(bos_token="(BOS)"				,   eos_token="(EOS)"  )
     UpperCAmelCase_					:					Union[str, Any]			     =    self.get_image_processor(do_normalize=lowercase_				,   padding_value=1.0  )

     UpperCAmelCase_					:					List[Any]			     =    CLIPProcessor.from_pretrained(
         self.tmpdirname				,   bos_token="(BOS)"				,   eos_token="(EOS)"				,   do_normalize=lowercase_				,   padding_value=1.0  )

     self.assertEqual(processor.tokenizer.get_vocab()				,   tokenizer_add_kwargs.get_vocab()  )
     self.assertIsInstance(processor.tokenizer				,   lowercase_  )

     self.assertEqual(processor.image_processor.to_json_string()				,   image_processor_add_kwargs.to_json_string()  )
     self.assertIsInstance(processor.image_processor				,   lowercase_  )







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					List[Any]			     =    self.get_image_processor()
     UpperCAmelCase_					:					str			     =    self.get_tokenizer()

     UpperCAmelCase_					:					List[Any]			     =    CLIPProcessor(tokenizer=lowercase_				,   image_processor=lowercase_  )

     UpperCAmelCase_					:					Union[str, Any]			     =    self.prepare_image_inputs()

     UpperCAmelCase_					:					int			     =    image_processor(lowercase_				,   return_tensors="np"  )
     UpperCAmelCase_					:					List[str]			     =    processor(images=lowercase_				,   return_tensors="np"  )

     for key in input_image_proc.keys():
        self.assertAlmostEqual(input_image_proc[key].sum()				,   input_processor[key].sum()				,   delta=1E-2  )







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					int			     =    self.get_image_processor()
     UpperCAmelCase_					:					str			     =    self.get_tokenizer()

     UpperCAmelCase_					:					int			     =    CLIPProcessor(tokenizer=lowercase_				,   image_processor=lowercase_  )

     UpperCAmelCase_					:					Any			     =    "lower newer"

     UpperCAmelCase_					:					Tuple			     =    processor(text=lowercase_  )

     UpperCAmelCase_					:					int			     =    tokenizer(lowercase_  )

     for key in encoded_tok.keys():
        self.assertListEqual(encoded_tok[key]				,   encoded_processor[key]  )







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					Union[str, Any]			     =    self.get_image_processor()
     UpperCAmelCase_					:					Optional[Any]			     =    self.get_tokenizer()

     UpperCAmelCase_					:					Tuple			     =    CLIPProcessor(tokenizer=lowercase_				,   image_processor=lowercase_  )

     UpperCAmelCase_					:					Any			     =    "lower newer"
     UpperCAmelCase_					:					Tuple			     =    self.prepare_image_inputs()

     UpperCAmelCase_					:					List[Any]			     =    processor(text=lowercase_				,   images=lowercase_  )

     self.assertListEqual(list(inputs.keys()  )				,   ["input_ids", "attention_mask", "pixel_values"]  )

     # test if it raises when no input is passed
     with pytest.raises(lowercase_  ):
        processor()







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					List[Any]			     =    self.get_image_processor()
     UpperCAmelCase_					:					List[str]			     =    self.get_tokenizer()

     UpperCAmelCase_					:					str			     =    CLIPProcessor(tokenizer=lowercase_				,   image_processor=lowercase_  )

     UpperCAmelCase_					:					Union[str, Any]			     =    [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

     UpperCAmelCase_					:					Dict			     =    processor.batch_decode(lowercase_  )
     UpperCAmelCase_					:					Tuple			     =    tokenizer.batch_decode(lowercase_  )

     self.assertListEqual(lowercase_				,   lowercase_  )







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					Union[str, Any]			     =    self.get_image_processor()
     UpperCAmelCase_					:					Union[str, Any]			     =    self.get_tokenizer()

     UpperCAmelCase_					:					Any			     =    CLIPProcessor(tokenizer=lowercase_				,   image_processor=lowercase_  )

     UpperCAmelCase_					:					List[str]			     =    "lower newer"
     UpperCAmelCase_					:					List[Any]			     =    self.prepare_image_inputs()

     UpperCAmelCase_					:					Tuple			     =    processor(text=lowercase_				,   images=lowercase_  )

     self.assertListEqual(list(inputs.keys()  )				,   processor.model_input_names  )




"""simple docstring"""





from math import cos, sin, sqrt, tau

from audio_filters.iir_filter import IIRFilter







def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase = 1 / sqrt(2  )  ):
   UpperCAmelCase_					:					int			     =    tau * frequency / samplerate
   UpperCAmelCase_					:					List[str]			     =    sin(__lowerCamelCase  )
   UpperCAmelCase_					:					int			     =    cos(__lowerCamelCase  )
   UpperCAmelCase_					:					Optional[Any]			     =    _sin / (2 * q_factor)

   UpperCAmelCase_					:					int			     =    (1 - _cos) / 2
   UpperCAmelCase_					:					Optional[Any]			     =    1 - _cos

   UpperCAmelCase_					:					int			     =    1 + alpha
   UpperCAmelCase_					:					Dict			     =    -2 * _cos
   UpperCAmelCase_					:					Tuple			     =    1 - alpha

   UpperCAmelCase_					:					Dict			     =    IIRFilter(2  )
   filt.set_coefficients([aa, aa, aa],		[ba, ba, ba]  )
   return filt







def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase = 1 / sqrt(2  )  ):
   UpperCAmelCase_					:					Dict			     =    tau * frequency / samplerate
   UpperCAmelCase_					:					Tuple			     =    sin(__lowerCamelCase  )
   UpperCAmelCase_					:					Any			     =    cos(__lowerCamelCase  )
   UpperCAmelCase_					:					List[str]			     =    _sin / (2 * q_factor)

   UpperCAmelCase_					:					List[Any]			     =    (1 + _cos) / 2
   UpperCAmelCase_					:					Optional[int]			     =    -1 - _cos

   UpperCAmelCase_					:					Union[str, Any]			     =    1 + alpha
   UpperCAmelCase_					:					Optional[int]			     =    -2 * _cos
   UpperCAmelCase_					:					Tuple			     =    1 - alpha

   UpperCAmelCase_					:					List[str]			     =    IIRFilter(2  )
   filt.set_coefficients([aa, aa, aa],		[ba, ba, ba]  )
   return filt







def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase = 1 / sqrt(2  )  ):
   UpperCAmelCase_					:					Union[str, Any]			     =    tau * frequency / samplerate
   UpperCAmelCase_					:					str			     =    sin(__lowerCamelCase  )
   UpperCAmelCase_					:					Tuple			     =    cos(__lowerCamelCase  )
   UpperCAmelCase_					:					List[Any]			     =    _sin / (2 * q_factor)

   UpperCAmelCase_					:					Any			     =    _sin / 2
   UpperCAmelCase_					:					Union[str, Any]			     =    0
   UpperCAmelCase_					:					Tuple			     =    -ba

   UpperCAmelCase_					:					Optional[Any]			     =    1 + alpha
   UpperCAmelCase_					:					Dict			     =    -2 * _cos
   UpperCAmelCase_					:					Optional[int]			     =    1 - alpha

   UpperCAmelCase_					:					List[str]			     =    IIRFilter(2  )
   filt.set_coefficients([aa, aa, aa],		[ba, ba, ba]  )
   return filt







def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase = 1 / sqrt(2  )  ):
   UpperCAmelCase_					:					Any			     =    tau * frequency / samplerate
   UpperCAmelCase_					:					Any			     =    sin(__lowerCamelCase  )
   UpperCAmelCase_					:					Optional[int]			     =    cos(__lowerCamelCase  )
   UpperCAmelCase_					:					str			     =    _sin / (2 * q_factor)

   UpperCAmelCase_					:					List[str]			     =    1 - alpha
   UpperCAmelCase_					:					str			     =    -2 * _cos
   UpperCAmelCase_					:					Any			     =    1 + alpha

   UpperCAmelCase_					:					Tuple			     =    IIRFilter(2  )
   filt.set_coefficients([ba, ba, ba],		[ba, ba, ba]  )
   return filt







def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase = 1 / sqrt(2  ),		):
   UpperCAmelCase_					:					Dict			     =    tau * frequency / samplerate
   UpperCAmelCase_					:					Union[str, Any]			     =    sin(__lowerCamelCase  )
   UpperCAmelCase_					:					int			     =    cos(__lowerCamelCase  )
   UpperCAmelCase_					:					Optional[int]			     =    _sin / (2 * q_factor)
   UpperCAmelCase_					:					List[str]			     =    10 ** (gain_db / 40)

   UpperCAmelCase_					:					List[Any]			     =    1 + alpha * big_a
   UpperCAmelCase_					:					Tuple			     =    -2 * _cos
   UpperCAmelCase_					:					Tuple			     =    1 - alpha * big_a
   UpperCAmelCase_					:					str			     =    1 + alpha / big_a
   UpperCAmelCase_					:					List[str]			     =    -2 * _cos
   UpperCAmelCase_					:					List[str]			     =    1 - alpha / big_a

   UpperCAmelCase_					:					Tuple			     =    IIRFilter(2  )
   filt.set_coefficients([aa, aa, aa],		[ba, ba, ba]  )
   return filt







def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase = 1 / sqrt(2  ),		):
   UpperCAmelCase_					:					str			     =    tau * frequency / samplerate
   UpperCAmelCase_					:					int			     =    sin(__lowerCamelCase  )
   UpperCAmelCase_					:					Optional[Any]			     =    cos(__lowerCamelCase  )
   UpperCAmelCase_					:					Tuple			     =    _sin / (2 * q_factor)
   UpperCAmelCase_					:					List[Any]			     =    10 ** (gain_db / 40)
   UpperCAmelCase_					:					Tuple			     =    (big_a + 1) - (big_a - 1) * _cos
   UpperCAmelCase_					:					int			     =    (big_a + 1) + (big_a - 1) * _cos
   UpperCAmelCase_					:					Optional[Any]			     =    (big_a - 1) - (big_a + 1) * _cos
   UpperCAmelCase_					:					Optional[int]			     =    (big_a - 1) + (big_a + 1) * _cos
   UpperCAmelCase_					:					Dict			     =    2 * sqrt(__lowerCamelCase  ) * alpha

   UpperCAmelCase_					:					List[str]			     =    big_a * (pmc + aaa)
   UpperCAmelCase_					:					int			     =    2 * big_a * mpc
   UpperCAmelCase_					:					int			     =    big_a * (pmc - aaa)
   UpperCAmelCase_					:					Dict			     =    ppmc + aaa
   UpperCAmelCase_					:					Any			     =    -2 * pmpc
   UpperCAmelCase_					:					List[str]			     =    ppmc - aaa

   UpperCAmelCase_					:					List[Any]			     =    IIRFilter(2  )
   filt.set_coefficients([aa, aa, aa],		[ba, ba, ba]  )
   return filt







def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase = 1 / sqrt(2  ),		):
   UpperCAmelCase_					:					int			     =    tau * frequency / samplerate
   UpperCAmelCase_					:					Optional[Any]			     =    sin(__lowerCamelCase  )
   UpperCAmelCase_					:					Optional[Any]			     =    cos(__lowerCamelCase  )
   UpperCAmelCase_					:					Optional[Any]			     =    _sin / (2 * q_factor)
   UpperCAmelCase_					:					Tuple			     =    10 ** (gain_db / 40)
   UpperCAmelCase_					:					Tuple			     =    (big_a + 1) - (big_a - 1) * _cos
   UpperCAmelCase_					:					Optional[Any]			     =    (big_a + 1) + (big_a - 1) * _cos
   UpperCAmelCase_					:					List[Any]			     =    (big_a - 1) - (big_a + 1) * _cos
   UpperCAmelCase_					:					Any			     =    (big_a - 1) + (big_a + 1) * _cos
   UpperCAmelCase_					:					Dict			     =    2 * sqrt(__lowerCamelCase  ) * alpha

   UpperCAmelCase_					:					Any			     =    big_a * (ppmc + aaa)
   UpperCAmelCase_					:					Union[str, Any]			     =    -2 * big_a * pmpc
   UpperCAmelCase_					:					Dict			     =    big_a * (ppmc - aaa)
   UpperCAmelCase_					:					Optional[int]			     =    pmc + aaa
   UpperCAmelCase_					:					Union[str, Any]			     =    2 * mpc
   UpperCAmelCase_					:					int			     =    pmc - aaa

   UpperCAmelCase_					:					Union[str, Any]			     =    IIRFilter(2  )
   filt.set_coefficients([aa, aa, aa],		[ba, ba, ba]  )
   return filt


