



"""simple docstring"""
import json
import os
import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers import BertTokenizer, BertTokenizerFast
from transformers.models.bert.tokenization_bert 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 AlignProcessor, EfficientNetImageProcessor
@require_vision
class 				lowerCamelCase  (			unittest.TestCase				):






					'''simple docstring'''





					def    lowerCAmelCase_				(       self:							str						)   ->	str:
											snake_case_ :Tuple						=			tempfile.mkdtemp()

											snake_case_ :Optional[Any]						=			[
											    """[UNK]""",
											    """[CLS]""",
											    """[SEP]""",
											    """[PAD]""",
											    """[MASK]""",
											    """want""",
											    """##want""",
											    """##ed""",
											    """wa""",
											    """un""",
											    """runn""",
											    """##ing""",
											    """,""",
											    """low""",
											    """lowest""",
											]
											snake_case_ :int						=			os.path.join(self.tmpdirname						,     VOCAB_FILES_NAMES["""vocab_file"""]						)
											with open(self.vocab_file						,     """w"""						,     encoding="""utf-8"""						) as vocab_writer:
																	vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]						)						)

											snake_case_ :List[str]						=			{
											    """do_resize""": True,
											    """size""": 20,
											    """do_center_crop""": True,
											    """crop_size""": 18,
											    """do_normalize""": True,
											    """image_mean""": [0.4_8_1_4_5_4_6_6, 0.4_5_7_8_2_7_5, 0.4_0_8_2_1_0_7_3],
											    """image_std""": [0.2_6_8_6_2_9_5_4, 0.2_6_1_3_0_2_5_8, 0.2_7_5_7_7_7_1_1],
											}
											snake_case_ :List[str]						=			os.path.join(self.tmpdirname						,     snake_case						)
											with open(self.image_processor_file						,     """w"""						,     encoding="""utf-8"""						) as fp:
																	json.dump(snake_case						,     snake_case						)






					def    lowerCAmelCase_				(       self:							Dict						,     **snake_case:							Any						)   ->	List[Any]:
											return BertTokenizer.from_pretrained(self.tmpdirname						,     **snake_case						)






					def    lowerCAmelCase_				(       self:							Optional[Any]						,     **snake_case:							List[str]						)   ->	Union[str, Any]:
											return BertTokenizerFast.from_pretrained(self.tmpdirname						,     **snake_case						)






					def    lowerCAmelCase_				(       self:							Optional[Any]						,     **snake_case:							Dict						)   ->	Any:
											return EfficientNetImageProcessor.from_pretrained(self.tmpdirname						,     **snake_case						)






					def    lowerCAmelCase_				(       self:							List[Any]						)   ->	Optional[Any]:
											shutil.rmtree(self.tmpdirname						)






					def    lowerCAmelCase_				(       self:							List[Any]						)   ->	int:
											snake_case_ :Tuple						=			[np.random.randint(255						,     size=(3, 30, 400)						,     dtype=np.uinta						)]
											snake_case_ :Dict						=			[Image.fromarray(np.moveaxis(snake_case						,     0						,     -1						)						) for x in image_inputs]
											return image_inputs






					def    lowerCAmelCase_				(       self:							List[Any]						)   ->	Any:
											snake_case_ :Optional[Any]						=			self.get_tokenizer()
											snake_case_ :Tuple						=			self.get_rust_tokenizer()
											snake_case_ :Optional[int]						=			self.get_image_processor()

											snake_case_ :List[Any]						=			AlignProcessor(tokenizer=snake_case						,     image_processor=snake_case						)
											processor_slow.save_pretrained(self.tmpdirname						)
											snake_case_ :Union[str, Any]						=			AlignProcessor.from_pretrained(self.tmpdirname						,     use_fast=snake_case						)

											snake_case_ :int						=			AlignProcessor(tokenizer=snake_case						,     image_processor=snake_case						)
											processor_fast.save_pretrained(self.tmpdirname						)
											snake_case_ :int						=			AlignProcessor.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						,     snake_case						)
											self.assertIsInstance(processor_fast.tokenizer						,     snake_case						)

											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						,     snake_case						)
											self.assertIsInstance(processor_fast.image_processor						,     snake_case						)






					def    lowerCAmelCase_				(       self:							str						)   ->	int:
											snake_case_ :List[str]						=			AlignProcessor(tokenizer=self.get_tokenizer()						,     image_processor=self.get_image_processor()						)
											processor.save_pretrained(self.tmpdirname						)

											snake_case_ :List[str]						=			self.get_tokenizer(bos_token="""(BOS)"""						,     eos_token="""(EOS)"""						)
											snake_case_ :Optional[Any]						=			self.get_image_processor(do_normalize=snake_case						,     padding_value=1.0						)

											snake_case_ :int						=			AlignProcessor.from_pretrained(
											    self.tmpdirname						,     bos_token="""(BOS)"""						,     eos_token="""(EOS)"""						,     do_normalize=snake_case						,     padding_value=1.0						)

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

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






					def    lowerCAmelCase_				(       self:							Optional[Any]						)   ->	str:
											snake_case_ :Tuple						=			self.get_image_processor()
											snake_case_ :List[str]						=			self.get_tokenizer()

											snake_case_ :int						=			AlignProcessor(tokenizer=snake_case						,     image_processor=snake_case						)

											snake_case_ :Optional[Any]						=			self.prepare_image_inputs()

											snake_case_ :Optional[int]						=			image_processor(snake_case						,     return_tensors="""np"""						)
											snake_case_ :Optional[Any]						=			processor(images=snake_case						,     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    lowerCAmelCase_				(       self:							Optional[int]						)   ->	List[Any]:
											snake_case_ :List[str]						=			self.get_image_processor()
											snake_case_ :List[Any]						=			self.get_tokenizer()

											snake_case_ :Dict						=			AlignProcessor(tokenizer=snake_case						,     image_processor=snake_case						)

											snake_case_ :Optional[Any]						=			"""lower newer"""

											snake_case_ :int						=			processor(text=snake_case						)

											snake_case_ :Optional[Any]						=			tokenizer(snake_case						,     padding="""max_length"""						,     max_length=64						)

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






					def    lowerCAmelCase_				(       self:							Dict						)   ->	Union[str, Any]:
											snake_case_ :Any						=			self.get_image_processor()
											snake_case_ :Optional[int]						=			self.get_tokenizer()

											snake_case_ :Union[str, Any]						=			AlignProcessor(tokenizer=snake_case						,     image_processor=snake_case						)

											snake_case_ :Dict						=			"""lower newer"""
											snake_case_ :Dict						=			self.prepare_image_inputs()

											snake_case_ :Dict						=			processor(text=snake_case						,     images=snake_case						)

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

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






					def    lowerCAmelCase_				(       self:							Union[str, Any]						)   ->	Optional[Any]:
											snake_case_ :Optional[Any]						=			self.get_image_processor()
											snake_case_ :Optional[Any]						=			self.get_tokenizer()

											snake_case_ :str						=			AlignProcessor(tokenizer=snake_case						,     image_processor=snake_case						)

											snake_case_ :Optional[int]						=			[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

											snake_case_ :int						=			processor.batch_decode(snake_case						)
											snake_case_ :List[str]						=			tokenizer.batch_decode(snake_case						)

											self.assertListEqual(snake_case						,     snake_case						)






					def    lowerCAmelCase_				(       self:							List[Any]						)   ->	List[str]:
											snake_case_ :List[Any]						=			self.get_image_processor()
											snake_case_ :str						=			self.get_tokenizer()

											snake_case_ :Optional[Any]						=			AlignProcessor(tokenizer=snake_case						,     image_processor=snake_case						)

											snake_case_ :List[Any]						=			"""lower newer"""
											snake_case_ :Dict						=			self.prepare_image_inputs()

											snake_case_ :int						=			processor(text=snake_case						,     images=snake_case						)

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


from __future__ import annotations

lowercase__		:Any   =    1.60_21E-19  # units = C



def        UpperCamelCase    (							lowerCAmelCase__ ,			lowerCAmelCase__ ,			lowerCAmelCase__ ,			):
					'''simple docstring'''
					if (conductivity, electron_conc, mobility).count(0		) != 1:
										raise ValueError('''You cannot supply more or less than 2 values'''		)
					elif conductivity < 0:
										raise ValueError('''Conductivity cannot be negative'''		)
					elif electron_conc < 0:
										raise ValueError('''Electron concentration cannot be negative'''		)
					elif mobility < 0:
										raise ValueError('''mobility cannot be negative'''		)
					elif conductivity == 0:
										return (
										    "conductivity",
										    mobility * electron_conc * ELECTRON_CHARGE,
										)
					elif electron_conc == 0:
										return (
										    "electron_conc",
										    conductivity / (mobility * ELECTRON_CHARGE),
										)
					else:
										return (
										    "mobility",
										    conductivity / (electron_conc * ELECTRON_CHARGE),
										)


if __name__ == "__main__":
							import doctest

							doctest.testmod()




