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hash_model.py
hash_model.py 6.98 KiB
#-----------------------------------------------------------------------------
# SoC Labs Basic SHA-2 Hashing Model Python Reference
# A joint work commissioned on behalf of SoC Labs, under Arm Academic Access license.
#
# Contributors
#
# David Mapstone (d.a.mapstone@soton.ac.uk)
#
# Copyright 2022, SoC Labs (www.soclabs.org)
#-----------------------------------------------------------------------------
import os, random, math, csv
import binascii
import hashlib
def main():
# Check Environment Variables set
if not "SHA_2_ACC_DIR" in os.environ:
print("Sourceme file at root of repository has not been sourced. Please source this file and try again.")
quit()
# Read in Descriptor File
# - contains number of packets of data to generate and random seed
stim_file = os.environ["SHA_2_ACC_DIR"] + "/simulate/stimulus/model/" + "model_stim.csv"
with open(stim_file, "r") as stim:
csvreader = csv.reader(stim, delimiter=",")
stim_list = list(csvreader)
seed = int(stim_list[0][0])
packets = int(stim_list[0][1])
gap_limit = int(stim_list[0][2])
stall_limit = int(stim_list[0][3])
random.seed(seed)
print(f"Generating {packets} packets using seed: {seed}")
cfg_words_list = []
cfg_words_gap_list = []
in_data_words_list = []
in_data_words_last_list = []
in_data_words_gap_list = []
message_block_list = []
message_block_last_list = []
message_block_gap_list = []
message_block_stall_list = []
hash_list = []
hash_stall_list = []
for i in range(packets):
# Generate Gapping and Stalling Values
# Gapping - Period to wait before taking Input Valid High
# Stalling - Period to wait before taking Output Read High
cfg_words_gap_list.append(random.randrange(0,gap_limit))
hash_stall_list.append(random.randrange(0,stall_limit))
# Generate expected output in 512 bit chunks
cfg_size = math.ceil(random.randint(0,pow(2,14))/8)*8
cfg_size_bin = "{0:b}".format(cfg_size)
# Pad Size to 64 bits
cfg_size_str = "0"*(64-len(cfg_size_bin)) + str(cfg_size_bin)
# Generate Random Data using Size
data = "{0:b}".format(random.getrandbits(cfg_size))
data = "0"*(cfg_size - len(data)) + data # Pad Data to length of config (Python like to concatenate values)
chunked_data_words = chunkstring(str(data),512)
in_data_words = chunked_data_words.copy()
in_data_words[-1] = in_data_words[-1] + "0"*(512-len(in_data_words[-1]))
in_data_words_last = []
in_data_words_gap = []
message_block = chunked_data_words.copy()
message_block_last = []
message_block_stall = []
message_block_gap = []
last_len = len(chunked_data_words[-1])
# print(f"{chunked_data_words[-1]} {last_len}")
if (last_len == 512):
message_block.append("1" + "0"*447 + cfg_size_str)
else:
message_block[-1] = message_block[-1] + "1"
if last_len > 447: # Size can't fit in last word
# Pad last word to 512 bits
message_block[-1] = message_block[-1] + "0"*(512 - len(message_block[-1]))
# Create New word with Size at the end
message_block.append("0"*448 + cfg_size_str)
else:
message_block[-1] = message_block[-1] + "0"*(512 - 64- len(message_block[-1])) + cfg_size_str
for i in range(len(in_data_words)):
in_data_words_last.append("0")
in_data_words_gap.append(random.randrange(0,gap_limit))
in_data_words_last[-1] = "1"
for i in range(len(message_block)):
message_block_last.append("0")
message_block_stall.append(random.randrange(0,stall_limit))
message_block_gap.append(random.randrange(0,gap_limit))
message_block_last[-1] = "1"
cfg_words_list.append(cfg_size_str)
in_data_words_list += in_data_words
in_data_words_last_list += in_data_words_last
in_data_words_gap_list += in_data_words_gap
message_block_list += message_block
message_block_last_list += message_block_last
message_block_gap_list += message_block_gap
message_block_stall_list += message_block_stall
intval = int(data, 2)
hash_val = 0
h=int(data, 2).to_bytes((len(data) + 7) // 8, byteorder='big')
hash_val = binascii.hexlify(hashlib.sha256(h).digest()).decode()
hash_list.append(hash_val)
# Write out Input Data Stimulus to Text File
input_header = ["input_data", "input_data_last"]
with open(os.environ["SHA_2_ACC_DIR"] + "/simulate/stimulus/testbench/" + "input_data_stim.csv", "w", encoding="UTF8", newline='') as f:
writer = csv.writer(f)
for idx, word in enumerate(in_data_words_list):
writer.writerow(["{0:x}".format(int(word, 2)), in_data_words_last_list[idx], in_data_words_gap_list[idx]])
# Write out Cfg Stimulus to Text File
input_header = ["input_cfg_size", "input_cfg_scheme", "input_cfg_last"]
with open(os.environ["SHA_2_ACC_DIR"] + "/simulate/stimulus/testbench/" + "input_cfg_stim.csv", "w", encoding="UTF8", newline='') as f:
writer = csv.writer(f)
for idx, word in enumerate(cfg_words_list):
writer.writerow(["{0:x}".format(int(word, 2)), "0", "1", cfg_words_gap_list[idx]])
# Write out Expected output to text file
output_header = ["output_data", "output_data_last"]
with open(os.environ["SHA_2_ACC_DIR"] + "/simulate/stimulus/testbench/" + "output_message_block_ref.csv", "w", encoding="UTF8", newline='') as f:
writer = csv.writer(f)
for idx, word in enumerate(message_block_list):
writer.writerow(["{0:x}".format(int(word, 2)), message_block_last_list[idx], message_block_stall_list[idx]])
# Write out Message Block (Input) to text file
output_header = ["message_block_data", "message_block_data_last"]
with open(os.environ["SHA_2_ACC_DIR"] + "/simulate/stimulus/testbench/" + "input_message_block_stim.csv", "w", encoding="UTF8", newline='') as f:
writer = csv.writer(f)
for idx, word in enumerate(message_block_list):
writer.writerow(["{0:x}".format(int(word, 2)), message_block_last_list[idx], message_block_gap_list[idx]])
# Write out hash value to text file
output_header = ["output_data", "output_data_last"]
with open(os.environ["SHA_2_ACC_DIR"] + "/simulate/stimulus/testbench/" + "output_hash_ref.csv", "w", encoding="UTF8", newline='') as f:
writer = csv.writer(f)
for idx, word in enumerate(hash_list):
writer.writerow([word, "1", hash_stall_list[idx]])
def chunkstring(string, length):
array_len = math.ceil(len(string)/length)
array = []
for i in range(array_len):
array.append(string[i*length:i*length + length])
return array
if __name__ == "__main__":
main()