



"""simple docstring"""







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, BertTokenizer, CLIPImageProcessor, GitProcessor, PreTrainedTokenizerFast

@require_vision
class 			_a     (   unittest.TestCase):



			def 							__lowercase				( self       :							str		)       ->				Optional[int]:
									snake_case      : Tuple							=   tempfile.mkdtemp()

									snake_case      : Optional[int]							=   CLIPImageProcessor()
									snake_case      : List[str]							=   BertTokenizer.from_pretrained(
									    "hf-internal-testing/tiny-random-BertModel"      ,  model_input_names=["input_ids", "attention_mask"]		)

									snake_case      : str							=   GitProcessor(_lowercase      ,  _lowercase		)

									processor.save_pretrained(self.tmpdirname		)



			def 							__lowercase				( self       :							Tuple      ,  **_lowercase       :							Tuple		)       ->				Union[str, Any]:
									return AutoProcessor.from_pretrained(self.tmpdirname      ,  **_lowercase		).tokenizer



			def 							__lowercase				( self       :							Any      ,  **_lowercase       :							Optional[int]		)       ->				Dict:
									return AutoProcessor.from_pretrained(self.tmpdirname      ,  **_lowercase		).image_processor



			def 							__lowercase				( self       :							Tuple		)       ->				List[Any]:
									shutil.rmtree(self.tmpdirname		)



			def 							__lowercase				( self       :							str		)       ->				List[Any]:
									snake_case      : List[str]							=   [np.random.randint(255      ,  size=(3, 30, 400)      ,  dtype=np.uinta		)]

									snake_case      : Optional[int]							=   [Image.fromarray(np.moveaxis(_lowercase      ,  0      ,  -1		)		) for x in image_inputs]

									return image_inputs



			def 							__lowercase				( self       :							Union[str, Any]		)       ->				Tuple:
									snake_case      : List[Any]							=   GitProcessor(tokenizer=self.get_tokenizer()      ,  image_processor=self.get_image_processor()		)
									processor.save_pretrained(self.tmpdirname		)

									snake_case      : Tuple							=   self.get_tokenizer(bos_token="(BOS)"      ,  eos_token="(EOS)"		)
									snake_case      : int							=   self.get_image_processor(do_normalize=_lowercase      ,  padding_value=1.0		)

									snake_case      : Any							=   GitProcessor.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 							__lowercase				( self       :							Dict		)       ->				str:
									snake_case      : int							=   self.get_image_processor()
									snake_case      : List[str]							=   self.get_tokenizer()

									snake_case      : Dict							=   GitProcessor(tokenizer=_lowercase      ,  image_processor=_lowercase		)

									snake_case      : Any							=   self.prepare_image_inputs()

									snake_case      : List[Any]							=   image_processor(_lowercase      ,  return_tensors="np"		)
									snake_case      : List[str]							=   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 							__lowercase				( self       :							int		)       ->				List[Any]:
									snake_case      : List[Any]							=   self.get_image_processor()
									snake_case      : str							=   self.get_tokenizer()

									snake_case      : Dict							=   GitProcessor(tokenizer=_lowercase      ,  image_processor=_lowercase		)

									snake_case      : Dict							=   "lower newer"

									snake_case      : int							=   processor(text=_lowercase		)

									snake_case      : Optional[int]							=   tokenizer(_lowercase      ,  return_token_type_ids=_lowercase		)

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



			def 							__lowercase				( self       :							Union[str, Any]		)       ->				int:
									snake_case      : str							=   self.get_image_processor()
									snake_case      : Optional[Any]							=   self.get_tokenizer()

									snake_case      : Tuple							=   GitProcessor(tokenizer=_lowercase      ,  image_processor=_lowercase		)

									snake_case      : Optional[Any]							=   "lower newer"
									snake_case      : Optional[int]							=   self.prepare_image_inputs()

									snake_case      : str							=   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 							__lowercase				( self       :							List[Any]		)       ->				Optional[int]:
									snake_case      : Optional[int]							=   self.get_image_processor()
									snake_case      : List[str]							=   self.get_tokenizer()

									snake_case      : Optional[Any]							=   GitProcessor(tokenizer=_lowercase      ,  image_processor=_lowercase		)

									snake_case      : str							=   [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

									snake_case      : List[str]							=   processor.batch_decode(_lowercase		)
									snake_case      : Union[str, Any]							=   tokenizer.batch_decode(_lowercase		)

									self.assertListEqual(_lowercase      ,  _lowercase		)



			def 							__lowercase				( self       :							List[str]		)       ->				Dict:
									snake_case      : Optional[Any]							=   self.get_image_processor()
									snake_case      : Any							=   self.get_tokenizer()

									snake_case      : int							=   GitProcessor(tokenizer=_lowercase      ,  image_processor=_lowercase		)

									snake_case      : Tuple							=   "lower newer"
									snake_case      : Optional[int]							=   self.prepare_image_inputs()

									snake_case      : Union[str, Any]							=   processor(text=_lowercase      ,  images=_lowercase		)

									# For now the processor supports only ['input_ids', 'attention_mask', 'pixel_values']
									self.assertListEqual(list(inputs.keys()		)      ,  ["input_ids", "attention_mask", "pixel_values"]		)








"""simple docstring"""







import unittest

from cer import CER


A    =	CER()

class 			_a     (   unittest.TestCase):



			def 							__lowercase				( self       :							Optional[Any]		)       ->				Tuple:
									snake_case      : Union[str, Any]							=   ["White House"]
									snake_case      : Tuple							=   ["white house"]
									# S = 2, D = 0, I = 0, N = 11, CER = 2 / 11
									snake_case      : int							=   cer.compute(predictions=_lowercase      ,  references=_lowercase		)
									self.assertTrue(abs(char_error_rate - 0.1818181818		) < 1E-6		)



			def 							__lowercase				( self       :							Optional[Any]		)       ->				Dict:
									snake_case      : Tuple							=   ["were wolf"]
									snake_case      : Union[str, Any]							=   ["werewolf"]
									# S = 0, D = 0, I = 1, N = 9, CER = 1 / 9
									snake_case      : List[str]							=   cer.compute(predictions=_lowercase      ,  references=_lowercase		)
									self.assertTrue(abs(char_error_rate - 0.1111111		) < 1E-6		)

									snake_case      : List[str]							=   ["werewolf"]
									snake_case      : Optional[Any]							=   ["weae     wolf"]
									# S = 1, D = 1, I = 0, N = 8, CER = 0.25
									snake_case      : Optional[int]							=   cer.compute(predictions=_lowercase      ,  references=_lowercase		)
									self.assertTrue(abs(char_error_rate - 0.25		) < 1E-6		)

									# consecutive whitespaces case 1
									snake_case      : Optional[int]							=   ["were wolf"]
									snake_case      : Dict							=   ["were               wolf"]
									# S = 0, D = 0, I = 0, N = 9, CER = 0
									snake_case      : Dict							=   cer.compute(predictions=_lowercase      ,  references=_lowercase		)
									self.assertTrue(abs(char_error_rate - 0.0		) < 1E-6		)

									# consecutive whitespaces case 2
									snake_case      : Dict							=   ["were   wolf"]
									snake_case      : Dict							=   ["were               wolf"]
									# S = 0, D = 0, I = 0, N = 9, CER = 0
									snake_case      : Optional[int]							=   cer.compute(predictions=_lowercase      ,  references=_lowercase		)
									self.assertTrue(abs(char_error_rate - 0.0		) < 1E-6		)



			def 							__lowercase				( self       :							List[Any]		)       ->				Union[str, Any]:
									snake_case      : str							=   ["werewolf"]
									snake_case      : List[Any]							=   ["weaewolf"]
									# S = 1, D = 0, I = 0, N = 8, CER = 0.125
									snake_case      : str							=   cer.compute(predictions=_lowercase      ,  references=_lowercase		)
									self.assertTrue(abs(char_error_rate - 0.125		) < 1E-6		)



			def 							__lowercase				( self       :							int		)       ->				int:
									snake_case      : Dict							=   ["werewolf"]
									snake_case      : Optional[Any]							=   ["wereawolf"]
									# S = 0, D = 1, I = 0, N = 8, CER = 0.125
									snake_case      : List[str]							=   cer.compute(predictions=_lowercase      ,  references=_lowercase		)
									self.assertTrue(abs(char_error_rate - 0.125		) < 1E-6		)



			def 							__lowercase				( self       :							Union[str, Any]		)       ->				List[Any]:
									snake_case      : Tuple							=   ["werewolf"]
									snake_case      : Union[str, Any]							=   ["wereolf"]
									# S = 0, D = 0, I = 1, N = 8, CER = 0.125
									snake_case      : str							=   cer.compute(predictions=_lowercase      ,  references=_lowercase		)
									self.assertTrue(abs(char_error_rate - 0.125		) < 1E-6		)



			def 							__lowercase				( self       :							int		)       ->				List[str]:
									snake_case      : int							=   ["werewolf"]
									snake_case      : Optional[Any]							=   cer.compute(predictions=_lowercase      ,  references=_lowercase		)
									self.assertEqual(_lowercase      ,  0.0		)



			def 							__lowercase				( self       :							List[Any]		)       ->				Optional[Any]:
									snake_case      : str							=   ["werewolf", "I am your father"]
									snake_case      : str							=   cer.compute(predictions=_lowercase      ,  references=_lowercase		)
									self.assertEqual(_lowercase      ,  0.0		)

									snake_case      : Union[str, Any]							=   ["werewolf", "I am your father", "doge"]
									snake_case      : str							=   ["werxwolf", "I       am your father", "doge"]
									# S = 1, D = 0, I = 0, N = 28, CER = 1 / 28
									snake_case      : Dict							=   cer.compute(predictions=_lowercase      ,  references=_lowercase		)
									self.assertTrue(abs(char_error_rate - 0.03571428		) < 1E-6		)



			def 							__lowercase				( self       :							Any		)       ->				Union[str, Any]:
									snake_case      : Union[str, Any]							=   ["My hovercraft", "is full of eels"]
									snake_case      : List[str]							=   ["My hovercraft is full", " of eels"]
									# S = 0, D = 0, I = 2, N = 28, CER = 2 / 28
									# whitespace at the front of " of eels" will be strip during preporcessing
									# so need to insert 2 whitespaces
									snake_case      : int							=   cer.compute(predictions=_lowercase      ,  references=_lowercase      ,  concatenate_texts=_lowercase		)
									self.assertTrue(abs(char_error_rate - 0.071428		) < 1E-6		)



			def 							__lowercase				( self       :							Any		)       ->				Dict:
									snake_case      : Dict							=   ["我能吞下玻璃而不伤身体"]
									snake_case      : List[str]							=   [" 能吞虾玻璃而 不霜身体啦"]
									# S = 3, D = 2, I = 0, N = 11, CER = 5 / 11
									snake_case      : str							=   cer.compute(predictions=_lowercase      ,  references=_lowercase		)
									self.assertTrue(abs(char_error_rate - 0.4545454545		) < 1E-6		)

									snake_case      : List[Any]							=   ["我能吞下玻璃", "而不伤身体"]
									snake_case      : int							=   ["我    能 吞 下 玻 璃", "而不伤身体"]
									# S = 0, D = 5, I = 0, N = 11, CER = 5 / 11
									snake_case      : Dict							=   cer.compute(predictions=_lowercase      ,  references=_lowercase		)
									self.assertTrue(abs(char_error_rate - 0.454545454545		) < 1E-6		)

									snake_case      : int							=   ["我能吞下玻璃而不伤身体"]
									snake_case      : int							=   cer.compute(predictions=_lowercase      ,  references=_lowercase		)
									self.assertFalse(_lowercase      ,  0.0		)



			def 							__lowercase				( self       :							List[Any]		)       ->				List[Any]:
									snake_case      : int							=   [""]
									snake_case      : Optional[int]							=   ["Hypothesis"]
									with self.assertRaises(_lowercase		):
															cer.compute(predictions=_lowercase      ,  references=_lowercase		)


if __name__ == "__main__":
			unittest.main()



