
import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers.testing_utils import require_vision
from transformers.utils import is_vision_available


if is_vision_available():
					from PIL import Image

					from transformers import (
					    AutoProcessor,
					    BertTokenizerFast,
					    BlipImageProcessor,
					    GPTaTokenizer,
					    InstructBlipProcessor,
					    PreTrainedTokenizerFast,
					)


@require_vision
class 				lowercase					(		unittest.TestCase   ):



		def __UpperCamelCase ( self       )  ->					Union[str, Any]:
				"""simple docstring"""
				UpperCamelCase		=     tempfile.mkdtemp()

				UpperCamelCase		=     BlipImageProcessor()
				UpperCamelCase		=     GPTaTokenizer.from_pretrained('hf-internal-testing/tiny-random-GPT2Model'       )
				UpperCamelCase		=     BertTokenizerFast.from_pretrained('hf-internal-testing/tiny-random-bert'       )

				UpperCamelCase		=     InstructBlipProcessor(lowercase_				,      lowercase_				,      lowercase_       )

				processor.save_pretrained(self.tmpdirname       )



		def __UpperCamelCase ( self				,      **A_       )  ->					Dict:
				"""simple docstring"""
				return AutoProcessor.from_pretrained(self.tmpdirname				,      **lowercase_       ).tokenizer



		def __UpperCamelCase ( self				,      **A_       )  ->					Optional[Any]:
				"""simple docstring"""
				return AutoProcessor.from_pretrained(self.tmpdirname				,      **lowercase_       ).image_processor



		def __UpperCamelCase ( self				,      **A_       )  ->					List[str]:
				"""simple docstring"""
				return AutoProcessor.from_pretrained(self.tmpdirname				,      **lowercase_       ).qformer_tokenizer



		def __UpperCamelCase ( self       )  ->					Union[str, Any]:
				"""simple docstring"""
				shutil.rmtree(self.tmpdirname       )



		def __UpperCamelCase ( self       )  ->					List[Any]:
				"""simple docstring"""
				UpperCamelCase		=     [np.random.randint(255				,      size=(3, 30, 400)				,      dtype=np.uinta       )]

				UpperCamelCase		=     [Image.fromarray(np.moveaxis(lowercase_				,      0				,      -1       )       ) for x in image_inputs]

				return image_inputs



		def __UpperCamelCase ( self       )  ->					Tuple:
				"""simple docstring"""
				UpperCamelCase		=     InstructBlipProcessor(
				    tokenizer=self.get_tokenizer()				,      image_processor=self.get_image_processor()				,      qformer_tokenizer=self.get_qformer_tokenizer()				,      )
				processor.save_pretrained(self.tmpdirname       )

				UpperCamelCase		=     self.get_tokenizer(bos_token='(BOS)'				,      eos_token='(EOS)'       )
				UpperCamelCase		=     self.get_image_processor(do_normalize=lowercase_				,      padding_value=1.0       )

				UpperCamelCase		=     InstructBlipProcessor.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_       )
				self.assertIsInstance(processor.qformer_tokenizer				,      lowercase_       )



		def __UpperCamelCase ( self       )  ->					List[Any]:
				"""simple docstring"""
				UpperCamelCase		=     self.get_image_processor()
				UpperCamelCase		=     self.get_tokenizer()
				UpperCamelCase		=     self.get_qformer_tokenizer()

				UpperCamelCase		=     InstructBlipProcessor(
				    tokenizer=lowercase_				,      image_processor=lowercase_				,      qformer_tokenizer=lowercase_       )

				UpperCamelCase		=     self.prepare_image_inputs()

				UpperCamelCase		=     image_processor(lowercase_				,      return_tensors='np'       )
				UpperCamelCase		=     processor(images=lowercase_				,      return_tensors='np'       )

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



		def __UpperCamelCase ( self       )  ->					int:
				"""simple docstring"""
				UpperCamelCase		=     self.get_image_processor()
				UpperCamelCase		=     self.get_tokenizer()
				UpperCamelCase		=     self.get_qformer_tokenizer()

				UpperCamelCase		=     InstructBlipProcessor(
				    tokenizer=lowercase_				,      image_processor=lowercase_				,      qformer_tokenizer=lowercase_       )

				UpperCamelCase		=     "lower newer"

				UpperCamelCase		=     processor(text=lowercase_       )

				UpperCamelCase		=     tokenizer(lowercase_				,      return_token_type_ids=lowercase_       )
				UpperCamelCase		=     qformer_tokenizer(lowercase_				,      return_token_type_ids=lowercase_       )

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

				for key in encoded_tokens_qformer.keys():
						self.assertListEqual(encoded_tokens_qformer[key]				,      encoded_processor['qformer_' + key]       )



		def __UpperCamelCase ( self       )  ->					List[Any]:
				"""simple docstring"""
				UpperCamelCase		=     self.get_image_processor()
				UpperCamelCase		=     self.get_tokenizer()
				UpperCamelCase		=     self.get_qformer_tokenizer()

				UpperCamelCase		=     InstructBlipProcessor(
				    tokenizer=lowercase_				,      image_processor=lowercase_				,      qformer_tokenizer=lowercase_       )

				UpperCamelCase		=     "lower newer"
				UpperCamelCase		=     self.prepare_image_inputs()

				UpperCamelCase		=     processor(text=lowercase_				,      images=lowercase_       )

				self.assertListEqual(
				    list(inputs.keys()       )				,      ['input_ids', 'attention_mask', 'qformer_input_ids', 'qformer_attention_mask', 'pixel_values']				,      )

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



		def __UpperCamelCase ( self       )  ->					Optional[Any]:
				"""simple docstring"""
				UpperCamelCase		=     self.get_image_processor()
				UpperCamelCase		=     self.get_tokenizer()
				UpperCamelCase		=     self.get_qformer_tokenizer()

				UpperCamelCase		=     InstructBlipProcessor(
				    tokenizer=lowercase_				,      image_processor=lowercase_				,      qformer_tokenizer=lowercase_       )

				UpperCamelCase		=     [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

				UpperCamelCase		=     processor.batch_decode(lowercase_       )
				UpperCamelCase		=     tokenizer.batch_decode(lowercase_       )

				self.assertListEqual(lowercase_				,      lowercase_       )



		def __UpperCamelCase ( self       )  ->					int:
				"""simple docstring"""
				UpperCamelCase		=     self.get_image_processor()
				UpperCamelCase		=     self.get_tokenizer()
				UpperCamelCase		=     self.get_qformer_tokenizer()

				UpperCamelCase		=     InstructBlipProcessor(
				    tokenizer=lowercase_				,      image_processor=lowercase_				,      qformer_tokenizer=lowercase_       )

				UpperCamelCase		=     "lower newer"
				UpperCamelCase		=     self.prepare_image_inputs()

				UpperCamelCase		=     processor(text=lowercase_				,      images=lowercase_       )

				self.assertListEqual(
				    list(inputs.keys()       )				,      ['input_ids', 'attention_mask', 'qformer_input_ids', 'qformer_attention_mask', 'pixel_values']				,      )


"""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


