



import json
import os
import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_torch, require_vision
from transformers.utils import IMAGE_PROCESSOR_NAME, is_torch_available, is_vision_available


if is_torch_available():
       import torch


if is_vision_available():
       from PIL import Image

       from transformers import MgpstrProcessor, ViTImageProcessor



@require_torch
@require_vision
class       UpperCAmelCase__(							unittest.TestCase	):

   '''simple docstring'''




   A    :  Union[str, Any]       				=    ViTImageProcessor if is_vision_available() else None


   @property
   def 			UpperCAmelCase		(						self  :			Dict)	->				str:




         """simple docstring"""

         return self.image_processor_tester.prepare_image_processor_dict()


   def 			UpperCAmelCase		(						self  :			Optional[Any])	->				Union[str, Any]:




         """simple docstring"""

         lowercase__     =  (3, 32, 1_28)
         lowercase__     =  tempfile.mkdtemp()

         # fmt: off
         lowercase__     =  ['[GO]', '[s]', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']
         # fmt: on
         lowercase__     =  dict(zip(lowerCAmelCase			,				range(len(lowerCAmelCase))))

         lowercase__     =  os.path.join(self.tmpdirname			,				VOCAB_FILES_NAMES['vocab_file'])
         with open(self.vocab_file			,				'w'			,				encoding='utf-8') as fp:
               fp.write(json.dumps(lowerCAmelCase) + '\n')

         lowercase__     =  {
             'do_normalize': False,
             'do_resize': True,
             'image_processor_type': 'ViTImageProcessor',
             'resample': 3,
             'size': {'height': 32, 'width': 1_28},
         }
         lowercase__     =  os.path.join(self.tmpdirname			,				lowerCAmelCase)
         with open(self.image_processor_file			,				'w'			,				encoding='utf-8') as fp:
               json.dump(lowerCAmelCase			,				lowerCAmelCase)


   def 			UpperCAmelCase		(						self  :			str			,				**lowerCAmelCase  :			int)	->				Optional[Any]:




         """simple docstring"""

         return MgpstrTokenizer.from_pretrained(self.tmpdirname			,				**lowerCAmelCase)


   def 			UpperCAmelCase		(						self  :			Dict			,				**lowerCAmelCase  :			Tuple)	->				Optional[Any]:




         """simple docstring"""

         return ViTImageProcessor.from_pretrained(self.tmpdirname			,				**lowerCAmelCase)


   def 			UpperCAmelCase		(						self  :			Optional[int])	->				Optional[Any]:




         """simple docstring"""

         shutil.rmtree(self.tmpdirname)


   def 			UpperCAmelCase		(						self  :			List[str])	->				Tuple:




         """simple docstring"""

         lowercase__     =  np.random.randint(2_55			,				size=(3, 30, 4_00)			,				dtype=np.uinta)

         lowercase__     =  Image.fromarray(np.moveaxis(lowerCAmelCase			,				0			,				-1))

         return image_input


   def 			UpperCAmelCase		(						self  :			str)	->				Dict:




         """simple docstring"""

         lowercase__     =  self.get_tokenizer()
         lowercase__     =  self.get_image_processor()

         lowercase__     =  MgpstrProcessor(tokenizer=lowerCAmelCase			,				image_processor=lowerCAmelCase)
         processor.save_pretrained(self.tmpdirname)
         lowercase__     =  MgpstrProcessor.from_pretrained(self.tmpdirname			,				use_fast=lowerCAmelCase)

         self.assertEqual(processor.char_tokenizer.get_vocab()			,				tokenizer.get_vocab())
         self.assertIsInstance(processor.char_tokenizer			,				lowerCAmelCase)

         self.assertEqual(processor.image_processor.to_json_string()			,				image_processor.to_json_string())
         self.assertIsInstance(processor.image_processor			,				lowerCAmelCase)


   def 			UpperCAmelCase		(						self  :			Union[str, Any])	->				Dict:




         """simple docstring"""

         lowercase__     =  self.get_tokenizer()
         lowercase__     =  self.get_image_processor()

         lowercase__     =  MgpstrProcessor(tokenizer=lowerCAmelCase			,				image_processor=lowerCAmelCase)
         processor.save_pretrained(self.tmpdirname)

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

         lowercase__     =  MgpstrProcessor.from_pretrained(
             self.tmpdirname			,				bos_token='(BOS)'			,				eos_token='(EOS)'			,				do_normalize=lowerCAmelCase			,				padding_value=1.0)

         self.assertEqual(processor.char_tokenizer.get_vocab()			,				tokenizer_add_kwargs.get_vocab())
         self.assertIsInstance(processor.char_tokenizer			,				lowerCAmelCase)

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


   def 			UpperCAmelCase		(						self  :			str)	->				int:




         """simple docstring"""

         lowercase__     =  self.get_image_processor()
         lowercase__     =  self.get_tokenizer()

         lowercase__     =  MgpstrProcessor(tokenizer=lowerCAmelCase			,				image_processor=lowerCAmelCase)

         lowercase__     =  self.prepare_image_inputs()

         lowercase__     =  image_processor(lowerCAmelCase			,				return_tensors='np')
         lowercase__     =  processor(images=lowerCAmelCase			,				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  :			List[str])	->				List[Any]:




         """simple docstring"""

         lowercase__     =  self.get_image_processor()
         lowercase__     =  self.get_tokenizer()

         lowercase__     =  MgpstrProcessor(tokenizer=lowerCAmelCase			,				image_processor=lowerCAmelCase)

         lowercase__     =  'test'

         lowercase__     =  processor(text=lowerCAmelCase)

         lowercase__     =  tokenizer(lowerCAmelCase)
         for key in encoded_tok.keys():
               self.assertListEqual(encoded_tok[key]			,				encoded_processor[key])


   def 			UpperCAmelCase		(						self  :			Union[str, Any])	->				Any:




         """simple docstring"""

         lowercase__     =  self.get_image_processor()
         lowercase__     =  self.get_tokenizer()

         lowercase__     =  MgpstrProcessor(tokenizer=lowerCAmelCase			,				image_processor=lowerCAmelCase)

         lowercase__     =  'test'
         lowercase__     =  self.prepare_image_inputs()

         lowercase__     =  processor(text=lowerCAmelCase			,				images=lowerCAmelCase)

         self.assertListEqual(list(inputs.keys())			,				['pixel_values', 'labels'])

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


   def 			UpperCAmelCase		(						self  :			Any)	->				Optional[Any]:




         """simple docstring"""

         lowercase__     =  self.get_image_processor()
         lowercase__     =  self.get_tokenizer()

         lowercase__     =  MgpstrProcessor(tokenizer=lowerCAmelCase			,				image_processor=lowerCAmelCase)

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

         lowercase__     =  processor.char_decode(lowerCAmelCase)
         lowercase__     =  tokenizer.batch_decode(lowerCAmelCase)
         lowercase__     =  [seq.replace(' '			,				'') for seq in decoded_tok]

         self.assertListEqual(lowerCAmelCase			,				lowerCAmelCase)


   def 			UpperCAmelCase		(						self  :			Dict)	->				Dict:




         """simple docstring"""

         lowercase__     =  self.get_image_processor()
         lowercase__     =  self.get_tokenizer()

         lowercase__     =  MgpstrProcessor(tokenizer=lowerCAmelCase			,				image_processor=lowerCAmelCase)

         lowercase__     =  None
         lowercase__     =  self.prepare_image_inputs()

         lowercase__     =  processor(text=lowerCAmelCase			,				images=lowerCAmelCase)

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



   def 			UpperCAmelCase		(						self  :			int)	->				List[str]:




         """simple docstring"""

         lowercase__     =  self.get_image_processor()
         lowercase__     =  self.get_tokenizer()

         lowercase__     =  MgpstrProcessor(tokenizer=lowerCAmelCase			,				image_processor=lowerCAmelCase)

         lowercase__     =  torch.randn(1			,				27			,				38)
         lowercase__     =  torch.randn(1			,				27			,				5_02_57)
         lowercase__     =  torch.randn(1			,				27			,				3_05_22)

         lowercase__     =  processor.batch_decode([char_input, bpe_input, wp_input])

         self.assertListEqual(list(results.keys())			,				['generated_text', 'scores', 'char_preds', 'bpe_preds', 'wp_preds'])





import argparse
import hashlib  # hashlib is only used inside the Test class
import struct



class       UpperCAmelCase__:

   '''simple docstring'''




   def __init__(						self  :			Optional[Any]			,				lowerCAmelCase  :			str)	->				Optional[int]:




         """simple docstring"""

         lowercase__     =  data
         lowercase__     =  [0X6_7_4_5_2_3_0_1, 0XE_F_C_D_A_B_8_9, 0X9_8_B_A_D_C_F_E, 0X1_0_3_2_5_4_7_6, 0XC_3_D_2_E_1_F_0]


   @staticmethod
   def 			UpperCAmelCase		(						lowerCAmelCase  :			Union[str, Any]			,				lowerCAmelCase  :			Optional[int])	->				str:




         """simple docstring"""

         return ((n << b) | (n >> (32 - b))) & 0XF_F_F_F_F_F_F_F


   def 			UpperCAmelCase		(						self  :			Dict)	->				Dict:




         """simple docstring"""

         lowercase__     =  B'\x80' + B'\x00' * (63 - (len(self.data) + 8) % 64)
         lowercase__     =  self.data + padding + struct.pack('>Q'			,				8 * len(self.data))
         return padded_data


   def 			UpperCAmelCase		(						self  :			int)	->				Tuple:




         """simple docstring"""

         return [
             self.padded_data[i : i + 64] for i in range(0			,				len(self.padded_data)			,				64)
         ]


   def 			UpperCAmelCase		(						self  :			Tuple			,				lowerCAmelCase  :			int)	->				List[Any]:




         """simple docstring"""

         lowercase__     =  list(struct.unpack('>16L'			,				lowerCAmelCase)) + [0] * 64
         for i in range(16			,				80):
               lowercase__     =  self.rotate((w[i - 3] ^ w[i - 8] ^ w[i - 14] ^ w[i - 16])			,				1)
         return w



   def 			UpperCAmelCase		(						self  :			str)	->				Dict:




         """simple docstring"""

         lowercase__     =  self.padding()
         lowercase__     =  self.split_blocks()
         for block in self.blocks:
               lowercase__     =  self.expand_block(lowerCAmelCase)
               lowercase__,	lowercase__,	lowercase__,	lowercase__,	lowercase__     =  self.h
               for i in range(0			,				80):
                     if 0 <= i < 20:
                           lowercase__     =  (b & c) | ((~b) & d)
                           lowercase__     =  0X5_A_8_2_7_9_9_9
                     elif 20 <= i < 40:
                           lowercase__     =  b ^ c ^ d
                           lowercase__     =  0X6_E_D_9_E_B_A_1
                     elif 40 <= i < 60:
                           lowercase__     =  (b & c) | (b & d) | (c & d)
                           lowercase__     =  0X8_F_1_B_B_C_D_C
                     elif 60 <= i < 80:
                           lowercase__     =  b ^ c ^ d
                           lowercase__     =  0XC_A_6_2_C_1_D_6
                     lowercase__,	lowercase__,	lowercase__,	lowercase__,	lowercase__     =  (
                         self.rotate(lowerCAmelCase			,				5) + f + e + k + expanded_block[i] & 0XF_F_F_F_F_F_F_F,
                         a,
                         self.rotate(lowerCAmelCase			,				30),
                         c,
                         d,
                     )
               lowercase__     =  (
                   self.h[0] + a & 0XF_F_F_F_F_F_F_F,
                   self.h[1] + b & 0XF_F_F_F_F_F_F_F,
                   self.h[2] + c & 0XF_F_F_F_F_F_F_F,
                   self.h[3] + d & 0XF_F_F_F_F_F_F_F,
                   self.h[4] + e & 0XF_F_F_F_F_F_F_F,
               )
         return ("{:08x}" * 5).format(*self.h)

def   _lowerCAmelCase   (						):
      lowercase__     =  B'Test String'
      assert SHAaHash(A__	).final_hash() == hashlib.shaa(A__	).hexdigest()  # noqa: S324

def   _lowerCAmelCase   (						):
      lowercase__     =  argparse.ArgumentParser(description='Process some strings or files'	)
      parser.add_argument(
          '--string'						,  dest='input_string'						,  default='Hello World!! Welcome to Cryptography'						,  help='Hash the string'						,  )
      parser.add_argument('--file'						,  dest='input_file'						,  help='Hash contents of a file'	)
      lowercase__     =  parser.parse_args()
      lowercase__     =  args.input_string
      # In any case hash input should be a bytestring
      if args.input_file:
            with open(args.input_file						,  'rb'	) as f:
                  lowercase__     =  f.read()
      else:
            lowercase__     =  bytes(A__						,  'utf-8'	)
      print(SHAaHash(A__	).final_hash()	)


if __name__ == "__main__":
       main()
       import doctest

       doctest.testmod()
