
"""simple docstring"""

import itertools
import json
import os
import unittest

from transformers import AddedToken, RobertaTokenizer, RobertaTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin

@require_tokenizers
class __lowerCAmelCase	(   __SCREAMING_SNAKE_CASE    ,						unittest.TestCase    ):
     lowercase		     =		RobertaTokenizer
     lowercase		     =		RobertaTokenizerFast
     lowercase		     =		True
     lowercase		     =		{"cls_token": "<s>"}





     def 		UpperCAmelCase      (			self   ):

      '''simple docstring'''




      super().setUp()

      # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
      __UpperCamelCase       						= [
          'l',
          'o',
          'w',
          'e',
          'r',
          's',
          't',
          'i',
          'd',
          'n',
          '\u0120',
          '\u0120l',
          '\u0120n',
          '\u0120lo',
          '\u0120low',
          'er',
          '\u0120lowest',
          '\u0120newer',
          '\u0120wider',
          '<unk>',
      ]
      __UpperCamelCase       						= dict(zip(__UpperCAmelCase			,  range(len(__UpperCAmelCase   )   )   )   )
      __UpperCamelCase       						= ['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
      __UpperCamelCase       						= {'unk_token': '<unk>'}

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





     def 		UpperCAmelCase      (			self			,  **__UpperCAmelCase   ):

      '''simple docstring'''




      kwargs.update(self.special_tokens_map   )
      return self.tokenizer_class.from_pretrained(self.tmpdirname			,  **__UpperCAmelCase   )





     def 		UpperCAmelCase      (			self			,  **__UpperCAmelCase   ):

      '''simple docstring'''




      kwargs.update(self.special_tokens_map   )
      return RobertaTokenizerFast.from_pretrained(self.tmpdirname			,  **__UpperCAmelCase   )





     def 		UpperCAmelCase      (			self			,  __UpperCAmelCase   ):

      '''simple docstring'''




      __UpperCamelCase       						= 'lower newer'
      __UpperCamelCase       						= 'lower newer'
      return input_text, output_text





     def 		UpperCAmelCase      (			self   ):

      '''simple docstring'''




      __UpperCamelCase       						= self.tokenizer_class(self.vocab_file			,  self.merges_file			,  **self.special_tokens_map   )
      __UpperCamelCase       						= 'lower newer'
      __UpperCamelCase       						= ['l', 'o', 'w', 'er', '\u0120', 'n', 'e', 'w', 'er']
      __UpperCamelCase       						= tokenizer.tokenize(__UpperCAmelCase   )  # , add_prefix_space=True)
      self.assertListEqual(__UpperCAmelCase			,  __UpperCAmelCase   )

      __UpperCamelCase       						= tokens + [tokenizer.unk_token]
      __UpperCamelCase       						= [0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCAmelCase   )			,  __UpperCAmelCase   )





     def 		UpperCAmelCase      (			self   ):

      '''simple docstring'''




      __UpperCamelCase       						= self.get_tokenizer()

      self.assertListEqual(tokenizer.encode('Hello world!'			,  add_special_tokens=__UpperCAmelCase   )			,  [0, 3_1414, 232, 328, 2]   )
      self.assertListEqual(
          tokenizer.encode('Hello world! cécé herlolip 418'			,  add_special_tokens=__UpperCAmelCase   )			,  [0, 3_1414, 232, 328, 740, 1140, 1_2695, 69, 4_6078, 1588, 2]			,  )





     @slow
     def 		UpperCAmelCase      (			self   ):

      '''simple docstring'''




      __UpperCamelCase       						= self.tokenizer_class.from_pretrained('roberta-base'   )

      __UpperCamelCase       						= tokenizer.encode('sequence builders'			,  add_special_tokens=__UpperCAmelCase   )
      __UpperCamelCase       						= tokenizer.encode('multi-sequence build'			,  add_special_tokens=__UpperCAmelCase   )

      __UpperCamelCase       						= tokenizer.encode(
          'sequence builders'			,  add_special_tokens=__UpperCAmelCase			,  add_prefix_space=__UpperCAmelCase   )
      __UpperCamelCase       						= tokenizer.encode(
          'sequence builders'			,  'multi-sequence build'			,  add_special_tokens=__UpperCAmelCase			,  add_prefix_space=__UpperCAmelCase   )

      __UpperCamelCase       						= tokenizer.build_inputs_with_special_tokens(__UpperCAmelCase   )
      __UpperCamelCase       						= tokenizer.build_inputs_with_special_tokens(__UpperCAmelCase			,  __UpperCAmelCase   )

      assert encoded_sentence == encoded_text_from_decode
      assert encoded_pair == encoded_pair_from_decode





     def 		UpperCAmelCase      (			self   ):

      '''simple docstring'''




      __UpperCamelCase       						= self.get_tokenizer()

      __UpperCamelCase       						= 'Encode this sequence.'
      __UpperCamelCase       						= tokenizer.byte_encoder[' '.encode('utf-8'   )[0]]

      # Testing encoder arguments
      __UpperCamelCase       						= tokenizer.encode(__UpperCAmelCase			,  add_special_tokens=__UpperCAmelCase			,  add_prefix_space=__UpperCAmelCase   )
      __UpperCamelCase       						= tokenizer.convert_ids_to_tokens(encoded[0]   )[0]
      self.assertNotEqual(__UpperCAmelCase			,  __UpperCAmelCase   )

      __UpperCamelCase       						= tokenizer.encode(__UpperCAmelCase			,  add_special_tokens=__UpperCAmelCase			,  add_prefix_space=__UpperCAmelCase   )
      __UpperCamelCase       						= tokenizer.convert_ids_to_tokens(encoded[0]   )[0]
      self.assertEqual(__UpperCAmelCase			,  __UpperCAmelCase   )

      tokenizer.add_special_tokens({'bos_token': '<s>'}   )
      __UpperCamelCase       						= tokenizer.encode(__UpperCAmelCase			,  add_special_tokens=__UpperCAmelCase   )
      __UpperCamelCase       						= tokenizer.convert_ids_to_tokens(encoded[1]   )[0]
      self.assertNotEqual(__UpperCAmelCase			,  __UpperCAmelCase   )

      # Testing spaces after special tokens
      __UpperCamelCase       						= '<mask>'
      tokenizer.add_special_tokens(
          {'mask_token': AddedToken(__UpperCAmelCase			,  lstrip=__UpperCAmelCase			,  rstrip=__UpperCAmelCase   )}   )  # mask token has a left space
      __UpperCamelCase       						= tokenizer.convert_tokens_to_ids(__UpperCAmelCase   )

      __UpperCamelCase       						= 'Encode <mask> sequence'
      __UpperCamelCase       						= 'Encode <mask>sequence'

      __UpperCamelCase       						= tokenizer.encode(__UpperCAmelCase   )
      __UpperCamelCase       						= encoded.index(__UpperCAmelCase   )
      __UpperCamelCase       						= tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]   )[0]
      self.assertEqual(__UpperCAmelCase			,  __UpperCAmelCase   )

      __UpperCamelCase       						= tokenizer.encode(__UpperCAmelCase   )
      __UpperCamelCase       						= encoded.index(__UpperCAmelCase   )
      __UpperCamelCase       						= tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]   )[0]
      self.assertNotEqual(__UpperCAmelCase			,  __UpperCAmelCase   )





     def 		UpperCAmelCase      (			self   ):

      '''simple docstring'''




      pass





     def 		UpperCAmelCase      (			self   ):

      '''simple docstring'''




      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
       with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'   ):
        __UpperCamelCase       						= self.rust_tokenizer_class.from_pretrained(__UpperCAmelCase			,  **__UpperCAmelCase   )
        __UpperCamelCase       						= self.tokenizer_class.from_pretrained(__UpperCAmelCase			,  **__UpperCAmelCase   )
        __UpperCamelCase       						= 'A, <mask> AllenNLP sentence.'
        __UpperCamelCase       						= tokenizer_r.encode_plus(__UpperCAmelCase			,  add_special_tokens=__UpperCAmelCase			,  return_token_type_ids=__UpperCAmelCase   )
        __UpperCamelCase       						= tokenizer_p.encode_plus(__UpperCAmelCase			,  add_special_tokens=__UpperCAmelCase			,  return_token_type_ids=__UpperCAmelCase   )

        # token_type_ids should put 0 everywhere
        self.assertEqual(sum(tokens_r['token_type_ids']   )			,  sum(tokens_p['token_type_ids']   )   )

        # attention_mask should put 1 everywhere, so sum over length should be 1
        self.assertEqual(
            sum(tokens_r['attention_mask']   ) / len(tokens_r['attention_mask']   )			,  sum(tokens_p['attention_mask']   ) / len(tokens_p['attention_mask']   )			,  )

        __UpperCamelCase       						= tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids']   )
        __UpperCamelCase       						= tokenizer_p.convert_ids_to_tokens(tokens_p['input_ids']   )

        # Rust correctly handles the space before the mask while python doesnt
        self.assertSequenceEqual(tokens_p['input_ids']			,  [0, 250, 6, 5_0264, 3823, 487, 2_1992, 3645, 4, 2]   )
        self.assertSequenceEqual(tokens_r['input_ids']			,  [0, 250, 6, 5_0264, 3823, 487, 2_1992, 3645, 4, 2]   )

        self.assertSequenceEqual(
            __UpperCAmelCase			,  ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']   )
        self.assertSequenceEqual(
            __UpperCAmelCase			,  ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']   )





     def 		UpperCAmelCase      (			self   ):

      '''simple docstring'''




      for trim_offsets, add_prefix_space in itertools.product([True, False]			,  repeat=2   ):
       __UpperCamelCase       						= self.rust_tokenizer_class.from_pretrained(
           self.tmpdirname			,  use_fast=__UpperCAmelCase			,  add_prefix_space=__UpperCAmelCase			,  trim_offsets=__UpperCAmelCase   )

       __UpperCamelCase       						= json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()   )
       __UpperCamelCase       						= json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()   )

       self.assertEqual(pre_tokenizer_state['add_prefix_space']			,  __UpperCAmelCase   )

       self.assertEqual(post_processor_state['add_prefix_space']			,  __UpperCAmelCase   )
       self.assertEqual(post_processor_state['trim_offsets']			,  __UpperCAmelCase   )







     def 		UpperCAmelCase      (			self   ):

      '''simple docstring'''




      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
       with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'   ):
        __UpperCamelCase       						= 'hello'  # `hello` is a token in the vocabulary of `pretrained_name`
        __UpperCamelCase       						= F'{text_of_1_token} {text_of_1_token}'

        __UpperCamelCase       						= self.rust_tokenizer_class.from_pretrained(
            __UpperCAmelCase			,  use_fast=__UpperCAmelCase			,  add_prefix_space=__UpperCAmelCase			,  trim_offsets=__UpperCAmelCase   )
        __UpperCamelCase       						= tokenizer_r(__UpperCAmelCase			,  return_offsets_mapping=__UpperCAmelCase			,  add_special_tokens=__UpperCAmelCase   )
        self.assertEqual(encoding.offset_mapping[0]			,  (0, len(__UpperCAmelCase   ))   )
        self.assertEqual(
            encoding.offset_mapping[1]			,  (len(__UpperCAmelCase   ) + 1, len(__UpperCAmelCase   ) + 1 + len(__UpperCAmelCase   ))			,  )

        __UpperCamelCase       						= self.rust_tokenizer_class.from_pretrained(
            __UpperCAmelCase			,  use_fast=__UpperCAmelCase			,  add_prefix_space=__UpperCAmelCase			,  trim_offsets=__UpperCAmelCase   )
        __UpperCamelCase       						= tokenizer_r(__UpperCAmelCase			,  return_offsets_mapping=__UpperCAmelCase			,  add_special_tokens=__UpperCAmelCase   )
        self.assertEqual(encoding.offset_mapping[0]			,  (0, len(__UpperCAmelCase   ))   )
        self.assertEqual(
            encoding.offset_mapping[1]			,  (len(__UpperCAmelCase   ) + 1, len(__UpperCAmelCase   ) + 1 + len(__UpperCAmelCase   ))			,  )

        __UpperCamelCase       						= self.rust_tokenizer_class.from_pretrained(
            __UpperCAmelCase			,  use_fast=__UpperCAmelCase			,  add_prefix_space=__UpperCAmelCase			,  trim_offsets=__UpperCAmelCase   )
        __UpperCamelCase       						= tokenizer_r(__UpperCAmelCase			,  return_offsets_mapping=__UpperCAmelCase			,  add_special_tokens=__UpperCAmelCase   )
        self.assertEqual(encoding.offset_mapping[0]			,  (0, len(__UpperCAmelCase   ))   )
        self.assertEqual(
            encoding.offset_mapping[1]			,  (len(__UpperCAmelCase   ), len(__UpperCAmelCase   ) + 1 + len(__UpperCAmelCase   ))			,  )

        __UpperCamelCase       						= self.rust_tokenizer_class.from_pretrained(
            __UpperCAmelCase			,  use_fast=__UpperCAmelCase			,  add_prefix_space=__UpperCAmelCase			,  trim_offsets=__UpperCAmelCase   )
        __UpperCamelCase       						= tokenizer_r(__UpperCAmelCase			,  return_offsets_mapping=__UpperCAmelCase			,  add_special_tokens=__UpperCAmelCase   )
        self.assertEqual(encoding.offset_mapping[0]			,  (0, len(__UpperCAmelCase   ))   )
        self.assertEqual(
            encoding.offset_mapping[1]			,  (len(__UpperCAmelCase   ), len(__UpperCAmelCase   ) + 1 + len(__UpperCAmelCase   ))			,  )

        __UpperCamelCase       						= F' {text}'

        # tokenizer_r = self.rust_tokenizer_class.from_pretrained(
        #     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
        # )
        # encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
        # self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
        # self.assertEqual(
        #     encoding.offset_mapping[1],
        #     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
        # )

        __UpperCamelCase       						= self.rust_tokenizer_class.from_pretrained(
            __UpperCAmelCase			,  use_fast=__UpperCAmelCase			,  add_prefix_space=__UpperCAmelCase			,  trim_offsets=__UpperCAmelCase   )
        __UpperCamelCase       						= tokenizer_r(__UpperCAmelCase			,  return_offsets_mapping=__UpperCAmelCase			,  add_special_tokens=__UpperCAmelCase   )
        self.assertEqual(encoding.offset_mapping[0]			,  (1, 1 + len(__UpperCAmelCase   ))   )
        self.assertEqual(
            encoding.offset_mapping[1]			,  (1 + len(__UpperCAmelCase   ) + 1, 1 + len(__UpperCAmelCase   ) + 1 + len(__UpperCAmelCase   ))			,  )

        __UpperCamelCase       						= self.rust_tokenizer_class.from_pretrained(
            __UpperCAmelCase			,  use_fast=__UpperCAmelCase			,  add_prefix_space=__UpperCAmelCase			,  trim_offsets=__UpperCAmelCase   )
        __UpperCamelCase       						= tokenizer_r(__UpperCAmelCase			,  return_offsets_mapping=__UpperCAmelCase			,  add_special_tokens=__UpperCAmelCase   )
        self.assertEqual(encoding.offset_mapping[0]			,  (0, 1 + len(__UpperCAmelCase   ))   )
        self.assertEqual(
            encoding.offset_mapping[1]			,  (1 + len(__UpperCAmelCase   ), 1 + len(__UpperCAmelCase   ) + 1 + len(__UpperCAmelCase   ))			,  )

        __UpperCamelCase       						= self.rust_tokenizer_class.from_pretrained(
            __UpperCAmelCase			,  use_fast=__UpperCAmelCase			,  add_prefix_space=__UpperCAmelCase			,  trim_offsets=__UpperCAmelCase   )
        __UpperCamelCase       						= tokenizer_r(__UpperCAmelCase			,  return_offsets_mapping=__UpperCAmelCase			,  add_special_tokens=__UpperCAmelCase   )
        self.assertEqual(encoding.offset_mapping[0]			,  (0, 1 + len(__UpperCAmelCase   ))   )
        self.assertEqual(
            encoding.offset_mapping[1]			,  (1 + len(__UpperCAmelCase   ), 1 + len(__UpperCAmelCase   ) + 1 + len(__UpperCAmelCase   ))			,  )





"""simple docstring"""

import argparse
import struct
import unittest

class __lowerCAmelCase	:





     def __init__(			self			,  __UpperCAmelCase   ):

      '''simple docstring'''




      __UpperCamelCase       						= data

      # Initialize hash values
      __UpperCamelCase       						= [
          0x6a_09_e6_67,
          0xbb_67_ae_85,
          0x3c_6e_f3_72,
          0xa5_4f_f5_3a,
          0x51_0e_52_7f,
          0x9b_05_68_8c,
          0x1f_83_d9_ab,
          0x5b_e0_cd_19,
      ]

      # Initialize round constants
      __UpperCamelCase       						= [
          0x42_8a_2f_98,
          0x71_37_44_91,
          0xb5_c0_fb_cf,
          0xe9_b5_db_a5,
          0x39_56_c2_5b,
          0x59_f1_11_f1,
          0x92_3f_82_a4,
          0xab_1c_5e_d5,
          0xd8_07_aa_98,
          0x12_83_5b_01,
          0x24_31_85_be,
          0x55_0c_7d_c3,
          0x72_be_5d_74,
          0x80_de_b1_fe,
          0x9b_dc_06_a7,
          0xc1_9b_f1_74,
          0xe4_9b_69_c1,
          0xef_be_47_86,
          0x0f_c1_9d_c6,
          0x24_0c_a1_cc,
          0x2d_e9_2c_6f,
          0x4a_74_84_aa,
          0x5c_b0_a9_dc,
          0x76_f9_88_da,
          0x98_3e_51_52,
          0xa8_31_c6_6d,
          0xb0_03_27_c8,
          0xbf_59_7f_c7,
          0xc6_e0_0b_f3,
          0xd5_a7_91_47,
          0x06_ca_63_51,
          0x14_29_29_67,
          0x27_b7_0a_85,
          0x2e_1b_21_38,
          0x4d_2c_6d_fc,
          0x53_38_0d_13,
          0x65_0a_73_54,
          0x76_6a_0a_bb,
          0x81_c2_c9_2e,
          0x92_72_2c_85,
          0xa2_bf_e8_a1,
          0xa8_1a_66_4b,
          0xc2_4b_8b_70,
          0xc7_6c_51_a3,
          0xd1_92_e8_19,
          0xd6_99_06_24,
          0xf4_0e_35_85,
          0x10_6a_a0_70,
          0x19_a4_c1_16,
          0x1e_37_6c_08,
          0x27_48_77_4c,
          0x34_b0_bc_b5,
          0x39_1c_0c_b3,
          0x4e_d8_aa_4a,
          0x5b_9c_ca_4f,
          0x68_2e_6f_f3,
          0x74_8f_82_ee,
          0x78_a5_63_6f,
          0x84_c8_78_14,
          0x8c_c7_02_08,
          0x90_be_ff_fa,
          0xa4_50_6c_eb,
          0xbe_f9_a3_f7,
          0xc6_71_78_f2,
      ]

      __UpperCamelCase       						= self.preprocessing(self.data   )
      self.final_hash()





     @staticmethod
     def 		UpperCAmelCase      (			__UpperCAmelCase   ):

      '''simple docstring'''




      __UpperCamelCase       						= b'\x80' + (b'\x00' * (63 - (len(__UpperCAmelCase   ) + 8) % 64))
      __UpperCamelCase       						= struct.pack('>Q'			,  (len(__UpperCAmelCase   ) * 8)   )
      return data + padding + big_endian_integer





     def 		UpperCAmelCase      (			self   ):

      '''simple docstring'''




      __UpperCamelCase       						= [
          self.preprocessed_data[x : x + 64]
          for x in range(0			,  len(self.preprocessed_data   )			,  64   )
      ]

      for block in self.blocks:
       # Convert the given block into a list of 4 byte integers
       __UpperCamelCase       						= list(struct.unpack('>16L'			,  __UpperCAmelCase   )   )
       # add 48 0-ed integers
       words += [0] * 48

       __UpperCamelCase						,			__UpperCamelCase						,			__UpperCamelCase						,			__UpperCamelCase						,			__UpperCamelCase						,			__UpperCamelCase						,			__UpperCamelCase						,			__UpperCamelCase       						= self.hashes

       for index in range(0			,  64   ):
        if index > 15:
         # modify the zero-ed indexes at the end of the array
         __UpperCamelCase       						= (
             self.ror(words[index - 15]			,  7   )
             ^ self.ror(words[index - 15]			,  18   )
             ^ (words[index - 15] >> 3)
         )
         __UpperCamelCase       						= (
             self.ror(words[index - 2]			,  17   )
             ^ self.ror(words[index - 2]			,  19   )
             ^ (words[index - 2] >> 10)
         )

         __UpperCamelCase       						= (
             words[index - 16] + sa + words[index - 7] + sa
         ) % 0x1_00_00_00_00

        # Compression
        __UpperCamelCase       						= self.ror(__UpperCAmelCase			,  6   ) ^ self.ror(__UpperCAmelCase			,  11   ) ^ self.ror(__UpperCAmelCase			,  25   )
        __UpperCamelCase       						= (e & f) ^ ((~e & 0xff_ff_ff_ff) & g)
        __UpperCamelCase       						= (
            h + sa + ch + self.round_constants[index] + words[index]
        ) % 0x1_00_00_00_00
        __UpperCamelCase       						= self.ror(__UpperCAmelCase			,  2   ) ^ self.ror(__UpperCAmelCase			,  13   ) ^ self.ror(__UpperCAmelCase			,  22   )
        __UpperCamelCase       						= (a & b) ^ (a & c) ^ (b & c)
        __UpperCamelCase       						= (sa + maj) % 0x1_00_00_00_00

        __UpperCamelCase						,			__UpperCamelCase						,			__UpperCamelCase						,			__UpperCamelCase						,			__UpperCamelCase						,			__UpperCamelCase						,			__UpperCamelCase						,			__UpperCamelCase       						= (
            g,
            f,
            e,
            ((d + tempa) % 0x1_00_00_00_00),
            c,
            b,
            a,
            ((tempa + tempa) % 0x1_00_00_00_00),
        )

       __UpperCamelCase       						= [a, b, c, d, e, f, g, h]

       # Modify final values
       __UpperCamelCase       						= [
           ((element + mutated_hash_values[index]) % 0x1_00_00_00_00)
           for index, element in enumerate(self.hashes   )
       ]

      __UpperCamelCase       						= ''.join([hex(__UpperCAmelCase   )[2:].zfill(8   ) for value in self.hashes]   )







     def 		UpperCAmelCase      (			self			,  __UpperCAmelCase			,  __UpperCAmelCase   ):

      '''simple docstring'''




      return 0xff_ff_ff_ff & (value << (32 - rotations)) | (value >> rotations)


class __lowerCAmelCase	(   unittest.TestCase    ):





     def 		UpperCAmelCase      (			self   ):

      '''simple docstring'''




      import hashlib

      __UpperCamelCase       						= bytes('Test String'			,  'utf-8'   )
      self.assertEqual(SHAaaa(__UpperCAmelCase   ).hash			,  hashlib.shaaaa(__UpperCAmelCase   ).hexdigest()   )






def 							A		(       )   ->			None:
 import doctest

 doctest.testmod()

 __UpperCamelCase       						= argparse.ArgumentParser()
 parser.add_argument(
     '-s'       ,      '--string'       ,      dest='input_string'       ,      default='Hello World!! Welcome to Cryptography'       ,      help='Hash the string'       ,      )
 parser.add_argument(
     '-f'       ,      '--file'       ,      dest='input_file'       ,      help='Hash contents of a file'	)

 __UpperCamelCase       						= parser.parse_args()

 __UpperCamelCase       						= args.input_string

 # hash input should be a bytestring
 if args.input_file:
  with open(args.input_file       ,      'rb'	) as f:
   __UpperCamelCase       						= f.read()
 else:
  __UpperCamelCase       						= bytes(snake_case       ,      'utf-8'	)

 print(SHAaaa(snake_case	).hash	)


if __name__ == "__main__":
      main()



