




from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pool as _descriptor_pool
from google.protobuf import symbol_database as _symbol_database
from google.protobuf.internal import builder as _builder


# @@protoc_insertion_point(imports)

a__		     =     _symbol_database.Default()


a__		     =     _descriptor_pool.Default().AddSerializedFile(
    b'''\n\x19sentencepiece_model.proto\x12\rsentencepiece"\x80\x0c\n\x0bTrainerSpec\x12\r\n\x05input\x18\x01 \x03(\t\x12\x14\n\x0cinput_format\x18\x07 \x01(\t\x12\x14\n\x0cmodel_prefix\x18\x02 \x01(\t\x12\x41\n\nmodel_type\x18\x03 \x01(\x0e\x32$.sentencepiece.TrainerSpec.ModelType:\x07UNIGRAM\x12\x18\n\nvocab_size\x18\x04 \x01(\x05:\x04\x38\x30\x30\x30\x12\x17\n\x0f\x61\x63\x63\x65pt_language\x18\x05 \x03(\t\x12 \n\x15self_test_sample_size\x18\x06 \x01(\x05:\x01\x30\x12*\n\x1b\x65nable_differential_privacy\x18\x32 \x01(\x08:\x05\x66\x61lse\x12+\n differential_privacy_noise_level\x18\x33 \x01(\x02:\x01\x30\x12\x32\n\'differential_privacy_clipping_threshold\x18\x34 \x01(\x04:\x01\x30\x12"\n\x12\x63haracter_coverage\x18\n \x01(\x02:\x06\x30.9995\x12\x1e\n\x13input_sentence_size\x18\x0b \x01(\x04:\x01\x30\x12$\n\x16shuffle_input_sentence\x18\x13 \x01(\x08:\x04true\x12 \n\x14mining_sentence_size\x18\x0c \x01(\x05\x42\x02\x18\x01\x12"\n\x16training_sentence_size\x18\r \x01(\x05\x42\x02\x18\x01\x12(\n\x17seed_sentencepiece_size\x18\x0e \x01(\x05:\x07\x31\x30\x30\x30\x30\x30\x30\x12\x1e\n\x10shrinking_factor\x18\x0f \x01(\x02:\x04\x30.75\x12!\n\x13max_sentence_length\x18\x12 \x01(\x05:\x04\x34\x31\x39\x32\x12\x17\n\x0bnum_threads\x18\x10 \x01(\x05:\x02\x31\x36\x12\x1d\n\x12num_sub_iterations\x18\x11 \x01(\x05:\x01\x32\x12$\n\x18max_sentencepiece_length\x18\x14 \x01(\x05:\x02\x31\x36\x12%\n\x17split_by_unicode_script\x18\x15 \x01(\x08:\x04true\x12\x1d\n\x0fsplit_by_number\x18\x17 \x01(\x08:\x04true\x12!\n\x13split_by_whitespace\x18\x16 \x01(\x08:\x04true\x12)\n\x1atreat_whitespace_as_suffix\x18\x18 \x01(\x08:\x05\x66\x61lse\x12+\n\x1c\x61llow_whitespace_only_pieces\x18\x1a \x01(\x08:\x05\x66\x61lse\x12\x1b\n\x0csplit_digits\x18\x19 \x01(\x08:\x05\x66\x61lse\x12#\n\x19pretokenization_delimiter\x18\x35 \x01(\t:\x00\x12\x17\n\x0f\x63ontrol_symbols\x18\x1e \x03(\t\x12\x1c\n\x14user_defined_symbols\x18\x1f \x03(\t\x12\x16\n\x0erequired_chars\x18$ \x01(\t\x12\x1c\n\rbyte_fallback\x18# \x01(\x08:\x05\x66\x61lse\x12+\n\x1dvocabulary_output_piece_score\x18  \x01(\x08:\x04true\x12\x1e\n\x10hard_vocab_limit\x18! \x01(\x08:\x04true\x12\x1c\n\ruse_all_vocab\x18" \x01(\x08:\x05\x66\x61lse\x12\x11\n\x06unk_id\x18( \x01(\x05:\x01\x30\x12\x11\n\x06\x62os_id\x18) \x01(\x05:\x01\x31\x12\x11\n\x06\x65os_id\x18* \x01(\x05:\x01\x32\x12\x12\n\x06pad_id\x18+ \x01(\x05:\x02-1\x12\x18\n\tunk_piece\x18- \x01(\t:\x05<unk>\x12\x16\n\tbos_piece\x18. \x01(\t:\x03<s>\x12\x17\n\teos_piece\x18/ \x01(\t:\x04</s>\x12\x18\n\tpad_piece\x18\x30 \x01(\t:\x05<pad>\x12\x1a\n\x0bunk_surface\x18, \x01(\t:\x05 \xe2\x81\x87 \x12+\n\x1ctrain_extremely_large_corpus\x18\x31 \x01(\x08:\x05\x66\x61lse"5\n\tModelType\x12\x0b\n\x07UNIGRAM\x10\x01\x12\x07\n\x03\x42PE\x10\x02\x12\x08\n\x04WORD\x10\x03\x12\x08\n\x04\x43HAR\x10\x04*\t\x08\xc8\x01\x10\x80\x80\x80\x80\x02"\xd1\x01\n\x0eNormalizerSpec\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x1c\n\x14precompiled_charsmap\x18\x02 \x01(\x0c\x12\x1e\n\x10\x61\x64\x64_dummy_prefix\x18\x03 \x01(\x08:\x04true\x12&\n\x18remove_extra_whitespaces\x18\x04 \x01(\x08:\x04true\x12 \n\x12\x65scape_whitespaces\x18\x05 \x01(\x08:\x04true\x12\x1e\n\x16normalization_rule_tsv\x18\x06 \x01(\t*\t\x08\xc8\x01\x10\x80\x80\x80\x80\x02"y\n\x0cSelfTestData\x12\x33\n\x07samples\x18\x01 \x03(\x0b\x32".sentencepiece.SelfTestData.Sample\x1a)\n\x06Sample\x12\r\n\x05input\x18\x01 \x01(\t\x12\x10\n\x08\x65xpected\x18\x02 \x01(\t*\t\x08\xc8\x01\x10\x80\x80\x80\x80\x02"\xfe\x03\n\nModelProto\x12\x37\n\x06pieces\x18\x01 \x03(\x0b\x32\'.sentencepiece.ModelProto.SentencePiece\x12\x30\n\x0ctrainer_spec\x18\x02 \x01(\x0b\x32\x1a.sentencepiece.TrainerSpec\x12\x36\n\x0fnormalizer_spec\x18\x03 \x01(\x0b\x32\x1d.sentencepiece.NormalizerSpec\x12\x33\n\x0eself_test_data\x18\x04 \x01(\x0b\x32\x1b.sentencepiece.SelfTestData\x12\x38\n\x11\x64\x65normalizer_spec\x18\x05 \x01(\x0b\x32\x1d.sentencepiece.NormalizerSpec\x1a\xd2\x01\n\rSentencePiece\x12\r\n\x05piece\x18\x01 \x01(\t\x12\r\n\x05score\x18\x02 \x01(\x02\x12\x42\n\x04type\x18\x03 \x01(\x0e\x32,.sentencepiece.ModelProto.SentencePiece.Type:\x06NORMAL"T\n\x04Type\x12\n\n\x06NORMAL\x10\x01\x12\x0b\n\x07UNKNOWN\x10\x02\x12\x0b\n\x07\x43ONTROL\x10\x03\x12\x10\n\x0cUSER_DEFINED\x10\x04\x12\x08\n\x04\x42YTE\x10\x06\x12\n\n\x06UNUSED\x10\x05*\t\x08\xc8\x01\x10\x80\x80\x80\x80\x02*\t\x08\xc8\x01\x10\x80\x80\x80\x80\x02\x42\x02H\x03'''
)

a__		     =     globals()
_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals)
_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, '''sentencepiece_model_pb2''', _globals)
if _descriptor._USE_C_DESCRIPTORS is False:
	a__		     =     None
	a__		     =     b'''H\003'''
	# (generated by protobuf compiler, but `_TRAINERSPEC` is not defined)
	# _TRAINERSPEC.fields_by_name["mining_sentence_size"]._options = None
	# _TRAINERSPEC.fields_by_name["mining_sentence_size"]._serialized_options = b"\030\001"
	# _TRAINERSPEC.fields_by_name["training_sentence_size"]._options = None
	# _TRAINERSPEC.fields_by_name["training_sentence_size"]._serialized_options = b"\030\001"
	a__		     =     45
	a__		     =     1581
	a__		     =     1517
	a__		     =     1570
	a__		     =     1584
	a__		     =     1793
	a__		     =     1795
	a__		     =     1916
	a__		     =     1864
	a__		     =     1905
	a__		     =     1919
	a__		     =     2429
	a__		     =     2208
	a__		     =     2418
	a__		     =     2323
	a__		     =     2407
# @@protoc_insertion_point(module_scope)












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


class    SCREAMING_SNAKE_CASE_				:



	"""simple docstring"""


	def __init__(					self		:						Tuple					,     lowerCAmelCase		:						Tuple	)	->       Dict:







						"""simple docstring"""







						__UpperCamelCase					:	Any             =      data
						__UpperCamelCase					:	List[str]             =      [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 					lowerCamelCase__     (					lowerCAmelCase		:						str					,     lowerCAmelCase		:						Union[str, Any]	)	->       str:







						"""simple docstring"""







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






	def 					lowerCamelCase__     (					self		:						Optional[int]	)	->       Dict:







						"""simple docstring"""







						__UpperCamelCase					:	int             =      b"""\x80""" + b"""\x00""" * (63 - (len(self.data	) + 8) % 64)
						__UpperCamelCase					:	int             =      self.data + padding + struct.pack(""">Q"""					,     8 * len(self.data	)	)
						return padded_data






	def 					lowerCamelCase__     (					self		:						str	)	->       str:







						"""simple docstring"""







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






	def 					lowerCamelCase__     (					self		:						Union[str, Any]					,     lowerCAmelCase		:						Tuple	)	->       List[Any]:







						"""simple docstring"""







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






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







						"""simple docstring"""







						__UpperCamelCase					:	Dict             =      self.padding()
						__UpperCamelCase					:	int             =      self.split_blocks()
						for block in self.blocks:
											__UpperCamelCase					:	Union[str, Any]             =      self.expand_block(lowerCAmelCase	)
											__UpperCamelCase      ,			__UpperCamelCase      ,			__UpperCamelCase      ,			__UpperCamelCase      ,			__UpperCamelCase					:	str             =      self.h
											for i in range(0					,     80	):
																if 0 <= i < 20:
																					__UpperCamelCase					:	List[Any]             =      (b & c) | ((~b) & d)
																					__UpperCamelCase					:	str             =      0x5_a_8_2_7_9_9_9
																elif 20 <= i < 40:
																					__UpperCamelCase					:	Tuple             =      b ^ c ^ d
																					__UpperCamelCase					:	List[Any]             =      0x6_e_d_9_e_b_a_1
																elif 40 <= i < 60:
																					__UpperCamelCase					:	Tuple             =      (b & c) | (b & d) | (c & d)
																					__UpperCamelCase					:	List[str]             =      0x8_f_1_b_b_c_d_c
																elif 60 <= i < 80:
																					__UpperCamelCase					:	Optional[int]             =      b ^ c ^ d
																					__UpperCamelCase					:	Tuple             =      0xc_a_6_2_c_1_d_6
																__UpperCamelCase      ,			__UpperCamelCase      ,			__UpperCamelCase      ,			__UpperCamelCase      ,			__UpperCamelCase					:	Tuple             =      (
																    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,
																)
											__UpperCamelCase					:	List[Any]             =      (
											    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 				A__ ()     ->						int:
					__UpperCamelCase					:	Optional[int]             =      b"""Test String"""
					assert SHAaHash(snake_case				).final_hash() == hashlib.shaa(snake_case				).hexdigest()  # noqa: S324





def 				A__ ()     ->						Tuple:
					__UpperCamelCase					:	Optional[Any]             =      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"""				)
					__UpperCamelCase					:	List[Any]             =      parser.parse_args()
					__UpperCamelCase					:	List[str]             =      args.input_string
					# In any case hash input should be a bytestring
					if args.input_file:
										with open(args.input_file		,	"""rb"""				) as f:
															__UpperCamelCase					:	Tuple             =      f.read()
					else:
										__UpperCamelCase					:	Any             =      bytes(snake_case		,	"""utf-8"""				)
					print(SHAaHash(snake_case				).final_hash()				)


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

	doctest.testmod()






