import argparse
import struct
import unittest



class   lowerCamelCase				:







		'''simple docstring'''



		def __init__(							self    ,		_UpperCamelCase       )     ->							None:
							UpperCAmelCase_   :				List[str]						=						data

							# Initialize hash values
							UpperCAmelCase_   :				Optional[int]						=						[
							    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_   :				Tuple						=						[
							    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_   :				Any						=						self.preprocessing(self.data       )
							self.final_hash()



		@staticmethod
		def  __UpperCAmelCase      (							_UpperCamelCase       )     ->							bytes:
							UpperCAmelCase_   :				int						=						b'\x80' + (b'\x00' * (6_3 - (len(_UpperCamelCase       ) + 8) % 6_4))
							UpperCAmelCase_   :				Optional[Any]						=						struct.pack('>Q'    ,		(len(_UpperCamelCase       ) * 8)       )
							return data + padding + big_endian_integer



		def  __UpperCAmelCase      (							self       )     ->							None:
							# Convert into blocks of 64 bytes
							UpperCAmelCase_   :				Dict						=						[
							    self.preprocessed_data[x : x + 6_4]
							    for x in range(0    ,		len(self.preprocessed_data       )    ,		6_4       )
							]

							for block in self.blocks:
												# Convert the given block into a list of 4 byte integers
												UpperCAmelCase_   :				List[Any]						=						list(struct.unpack('>16L'    ,		_UpperCamelCase       )       )
												# add 48 0-ed integers
												words += [0] * 4_8

												UpperCAmelCase_   :				List[Any]						=						self.hashes

												for index in range(0    ,		6_4       ):
																	if index > 1_5:
																						# modify the zero-ed indexes at the end of the array
																						UpperCAmelCase_   :				Tuple						=						(
																						    self.ror(words[index - 1_5]    ,		7       )
																						    ^ self.ror(words[index - 1_5]    ,		1_8       )
																						    ^ (words[index - 1_5] >> 3)
																						)
																						UpperCAmelCase_   :				int						=						(
																						    self.ror(words[index - 2]    ,		1_7       )
																						    ^ self.ror(words[index - 2]    ,		1_9       )
																						    ^ (words[index - 2] >> 1_0)
																						)

																						UpperCAmelCase_   :				List[Any]						=						(
																						    words[index - 1_6] + sa + words[index - 7] + sa
																						) % 0X1_00_00_00_00

																	# Compression
																	UpperCAmelCase_   :				int						=						self.ror(_UpperCamelCase    ,		6       ) ^ self.ror(_UpperCamelCase    ,		1_1       ) ^ self.ror(_UpperCamelCase    ,		2_5       )
																	UpperCAmelCase_   :				List[Any]						=						(e & f) ^ ((~e & 0Xff_ff_ff_ff) & g)
																	UpperCAmelCase_   :				str						=						(
																	    h + sa + ch + self.round_constants[index] + words[index]
																	) % 0X1_00_00_00_00
																	UpperCAmelCase_   :				List[Any]						=						self.ror(_UpperCamelCase    ,		2       ) ^ self.ror(_UpperCamelCase    ,		1_3       ) ^ self.ror(_UpperCamelCase    ,		2_2       )
																	UpperCAmelCase_   :				List[str]						=						(a & b) ^ (a & c) ^ (b & c)
																	UpperCAmelCase_   :				Optional[Any]						=						(sa + maj) % 0X1_00_00_00_00

																	UpperCAmelCase_   :				str						=						(
																	    g,
																	    f,
																	    e,
																	    ((d + tempa) % 0X1_00_00_00_00),
																	    c,
																	    b,
																	    a,
																	    ((tempa + tempa) % 0X1_00_00_00_00),
																	)

												UpperCAmelCase_   :				Union[str, Any]						=						[a, b, c, d, e, f, g, h]

												# Modify final values
												UpperCAmelCase_   :				Optional[Any]						=						[
												    ((element + mutated_hash_values[index]) % 0X1_00_00_00_00)
												    for index, element in enumerate(self.hashes       )
												]

							UpperCAmelCase_   :				Optional[Any]						=						''.join([hex(_UpperCamelCase       )[2:].zfill(8       ) for value in self.hashes]       )



		def  __UpperCAmelCase      (							self    ,		_UpperCamelCase    ,		_UpperCamelCase       )     ->							int:
							return 0Xff_ff_ff_ff & (value << (3_2 - rotations)) | (value >> rotations)





class   lowerCamelCase				(unittest.TestCase      ):







		'''simple docstring'''



		def  __UpperCAmelCase      (							self       )     ->							None:
							import hashlib

							UpperCAmelCase_   :				Dict						=						bytes('Test String'    ,		'utf-8'       )
							self.assertEqual(SHAaaa(_UpperCamelCase       ).hash    ,		hashlib.shaaaa(_UpperCamelCase       ).hexdigest()       )





def 					lowercase__				(					):


					'''simple docstring'''


					import doctest

					doctest.testmod()

					UpperCAmelCase_   :				Union[str, Any]						=						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_   :				List[Any]						=						parser.parse_args()

					UpperCAmelCase_   :				List[Any]						=						args.input_string

					# hash input should be a bytestring
					if args.input_file:
										with open(args.input_file					,	'rb'  ) as f:
															UpperCAmelCase_   :				Optional[Any]						=						f.read()
					else:
										UpperCAmelCase_   :				Tuple						=						bytes(__snake_case					,	'utf-8'  )

					print(SHAaaa(__snake_case  ).hash  )


if __name__ == "__main__":
		main()














import argparse
import json
import os

from tensorflow.core.protobuf.saved_model_pba import SavedModel


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_copies.py
__UpperCAmelCase     							=						'.'

# Internal TensorFlow ops that can be safely ignored (mostly specific to a saved model)
__UpperCAmelCase     							=						[
    'Assert',
    'AssignVariableOp',
    'EmptyTensorList',
    'MergeV2Checkpoints',
    'ReadVariableOp',
    'ResourceGather',
    'RestoreV2',
    'SaveV2',
    'ShardedFilename',
    'StatefulPartitionedCall',
    'StaticRegexFullMatch',
    'VarHandleOp',
]




def 					lowercase__				(					__snake_case   :							Union[str, Any]					,	__snake_case   :							Optional[int]					,	__snake_case   :							Union[str, Any]  ):


					'''simple docstring'''


					UpperCAmelCase_   :				Optional[Any]						=						SavedModel()
					UpperCAmelCase_   :				Optional[Any]						=						[]

					with open(os.path.join(__snake_case					,	'utils'					,	'tf_ops'					,	'onnx.json'  )  ) as f:
										UpperCAmelCase_   :				Optional[Any]						=						json.load(__snake_case  )['opsets']

					for i in range(1					,	opset + 1  ):
										onnx_ops.extend(onnx_opsets[str(__snake_case  )]  )

					with open(__snake_case					,	'rb'  ) as f:
										saved_model.ParseFromString(f.read()  )

					UpperCAmelCase_   :				List[Any]						=						set()

					# Iterate over every metagraph in case there is more than one (a saved model can contain multiple graphs)
					for meta_graph in saved_model.meta_graphs:
										# Add operations in the graph definition
										model_op_names.update(node.op for node in meta_graph.graph_def.node  )

										# Go through the functions in the graph definition
										for func in meta_graph.graph_def.library.function:
															# Add operations in each function
															model_op_names.update(node.op for node in func.node_def  )

    # Convert to list, sorted if you want
					UpperCAmelCase_   :				Optional[int]						=						sorted(__snake_case  )
					UpperCAmelCase_   :				int						=						[]

					for op in model_op_names:
										if op not in onnx_ops and op not in INTERNAL_OPS:
															incompatible_ops.append(__snake_case  )

					if strict and len(__snake_case  ) > 0:
										raise Exception(F"Found the following incompatible ops for the opset {opset}:\n" + incompatible_ops  )
					elif len(__snake_case  ) > 0:
										print(F"Found the following incompatible ops for the opset {opset}:"  )
										print(*__snake_case					,	sep='\n'  )
					else:
										print(F"The saved model {saved_model_path} can properly be converted with ONNX."  )


if __name__ == "__main__":
		__UpperCAmelCase     							=						argparse.ArgumentParser()
		parser.add_argument('--saved_model_path', help='Path of the saved model to check (the .pb file).')
		parser.add_argument(
		    '--opset', default=12, type=int, help='The ONNX opset against which the model has to be tested.'
		)
		parser.add_argument(
		    '--framework', choices=['onnx'], default='onnx', help='Frameworks against which to test the saved model.'
		)
		parser.add_argument(
		    '--strict', action='store_true', help='Whether make the checking strict (raise errors) or not (raise warnings)'
		)
		__UpperCAmelCase     							=						parser.parse_args()

		if args.framework == "onnx":
				onnx_compliancy(args.saved_model_path, args.strict, args.opset)






