


"""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 						_UpperCamelCase						(     unittest.TestCase	):
							'''simple docstring'''







							def     snake_case       (  self			):
										__lowerCAmelCase       					=    tempfile.mkdtemp()

										# fmt: off
										__lowerCAmelCase       					=    ["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
										__lowerCAmelCase       					=    dict(zip(__a					,     range(len(__a			)			)			)			)
										__lowerCAmelCase       					=    ["#version: 0.2", "l o", "lo w</w>", "e r</w>", ""]
										__lowerCAmelCase       					=    {"unk_token": "<unk>"}

										__lowerCAmelCase       					=    os.path.join(self.tmpdirname					,     VOCAB_FILES_NAMES["vocab_file"]			)
										__lowerCAmelCase       					=    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(__a			) + "\n"			)
										with open(self.merges_file					,     "w"					,     encoding="utf-8"			) as fp:
													fp.write("\n".join(__a			)			)

										__lowerCAmelCase       					=    {
										    "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],
										}
										__lowerCAmelCase       					=    os.path.join(self.tmpdirname					,     __a			)
										with open(self.image_processor_file					,     "w"					,     encoding="utf-8"			) as fp:
													json.dump(__a					,     __a			)

							def     snake_case       (  self					,     **__a			):
										return CLIPTokenizer.from_pretrained(self.tmpdirname					,     **__a			)

							def     snake_case       (  self					,     **__a			):
										return CLIPTokenizerFast.from_pretrained(self.tmpdirname					,     **__a			)

							def     snake_case       (  self					,     **__a			):
										return CLIPImageProcessor.from_pretrained(self.tmpdirname					,     **__a			)

							def     snake_case       (  self			):
										shutil.rmtree(self.tmpdirname			)

							def     snake_case       (  self			):
										__lowerCAmelCase       					=    [np.random.randint(2_55					,     size=(3, 30, 4_00)					,     dtype=np.uinta			)]

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

										return image_inputs

							def     snake_case       (  self			):
										__lowerCAmelCase       					=    self.get_tokenizer()
										__lowerCAmelCase       					=    self.get_rust_tokenizer()
										__lowerCAmelCase       					=    self.get_image_processor()

										__lowerCAmelCase       					=    CLIPProcessor(tokenizer=__a					,     image_processor=__a			)
										processor_slow.save_pretrained(self.tmpdirname			)
										__lowerCAmelCase       					=    CLIPProcessor.from_pretrained(self.tmpdirname					,     use_fast=__a			)

										__lowerCAmelCase       					=    CLIPProcessor(tokenizer=__a					,     image_processor=__a			)
										processor_fast.save_pretrained(self.tmpdirname			)
										__lowerCAmelCase       					=    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					,     __a			)
										self.assertIsInstance(processor_fast.tokenizer					,     __a			)

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

							def     snake_case       (  self			):
										__lowerCAmelCase       					=    CLIPProcessor(tokenizer=self.get_tokenizer()					,     image_processor=self.get_image_processor()			)
										processor.save_pretrained(self.tmpdirname			)

										__lowerCAmelCase       					=    self.get_tokenizer(bos_token="(BOS)"					,     eos_token="(EOS)"			)
										__lowerCAmelCase       					=    self.get_image_processor(do_normalize=__a					,     padding_value=1.0			)

										__lowerCAmelCase       					=    CLIPProcessor.from_pretrained(
										    self.tmpdirname					,     bos_token="(BOS)"					,     eos_token="(EOS)"					,     do_normalize=__a					,     padding_value=1.0			)

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

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

							def     snake_case       (  self			):
										__lowerCAmelCase       					=    self.get_image_processor()
										__lowerCAmelCase       					=    self.get_tokenizer()

										__lowerCAmelCase       					=    CLIPProcessor(tokenizer=__a					,     image_processor=__a			)

										__lowerCAmelCase       					=    self.prepare_image_inputs()

										__lowerCAmelCase       					=    image_processor(__a					,     return_tensors="np"			)
										__lowerCAmelCase       					=    processor(images=__a					,     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     snake_case       (  self			):
										__lowerCAmelCase       					=    self.get_image_processor()
										__lowerCAmelCase       					=    self.get_tokenizer()

										__lowerCAmelCase       					=    CLIPProcessor(tokenizer=__a					,     image_processor=__a			)

										__lowerCAmelCase       					=    "lower newer"

										__lowerCAmelCase       					=    processor(text=__a			)

										__lowerCAmelCase       					=    tokenizer(__a			)

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

							def     snake_case       (  self			):
										__lowerCAmelCase       					=    self.get_image_processor()
										__lowerCAmelCase       					=    self.get_tokenizer()

										__lowerCAmelCase       					=    CLIPProcessor(tokenizer=__a					,     image_processor=__a			)

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

										__lowerCAmelCase       					=    processor(text=__a					,     images=__a			)

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

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

							def     snake_case       (  self			):
										__lowerCAmelCase       					=    self.get_image_processor()
										__lowerCAmelCase       					=    self.get_tokenizer()

										__lowerCAmelCase       					=    CLIPProcessor(tokenizer=__a					,     image_processor=__a			)

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

										__lowerCAmelCase       					=    processor.batch_decode(__a			)
										__lowerCAmelCase       					=    tokenizer.batch_decode(__a			)

										self.assertListEqual(__a					,     __a			)



							def     snake_case       (  self			):
										__lowerCAmelCase       					=    self.get_image_processor()
										__lowerCAmelCase       					=    self.get_tokenizer()

										__lowerCAmelCase       					=    CLIPProcessor(tokenizer=__a					,     image_processor=__a			)

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

										__lowerCAmelCase       					=    processor(text=__a					,     images=__a			)

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








"""simple docstring"""


import string


def _lowerCamelCase			(	_UpperCamelCase   ):

			'''simple docstring'''




			__lowerCAmelCase       					=    ""
			for i in sequence:
						__lowerCAmelCase       					=    ord(_UpperCamelCase   )
						if 65 <= extract <= 90:
									output += chr(155 - extract   )
						elif 97 <= extract <= 122:
									output += chr(219 - extract   )
						else:
									output += i
			return output


def _lowerCamelCase			(	_UpperCamelCase   ):

			'''simple docstring'''




			__lowerCAmelCase       					=    string.ascii_letters
			__lowerCAmelCase       					=    string.ascii_lowercase[::-1] + string.ascii_uppercase[::-1]
			return "".join(
			    letters_reversed[letters.index(_UpperCamelCase   )] if c in letters else c for c in sequence   )


def _lowerCamelCase			(	):

			'''simple docstring'''




			from timeit import timeit

			print("Running performance benchmarks..."   )
			__lowerCAmelCase       					=    "from string import printable ; from __main__ import atbash, atbash_slow"
			print(f"> atbash_slow(): {timeit('atbash_slow(printable)'					,				setup=_UpperCamelCase   )} seconds"   )
			print(f">      atbash(): {timeit('atbash(printable)'					,				setup=_UpperCamelCase   )} seconds"   )


if __name__ == "__main__":
	for example in ("ABCDEFGH", "123GGjj", "testStringtest", "with space"):
		print(f'''{example} encrypted in atbash: {atbash(example)}''')
	benchmark()




