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How to use get_failures method in autotest
Best Python code snippet using autotest_python
plot_lstm.py
Source:plot_lstm.py 
...14import matplotlib.pyplot as plt15import numpy as np16N = 817M = 204818def get_failures(array, expected):19 failures = np.zeros((array.shape[0],16))20 for i in range(array.shape[0]):21 for j in range(16):22 if int(get_bit(array[i],j))!=expected:23 failures[i,j] = 124 return failures.reshape(-1)25def get_bit(uint16_word, index):26 word = np.uint16(uint16_word) # force just in case27 s = bin(word)[2:]28 if len(s)<16:29 s = "0"*(16-len(s))+s30 return s[index]31def get_masks(prefix,time="19710"):32 zeros = [[] for i in range(N)]33 for i in range(N):34 if (i==5 and "no" in prefix):35 f = open(prefix + str(i) + "_v2/" + time + "trace_10c_0.txt",'r')36 else:37 f = open(prefix + str(i) + "/" + time + "trace_10c_0.txt",'r')38 for j in range(N):39 f.readline() # skip the "physical chip #" print40 for k in range(M/16): #while True:41 row = f.readline()42 row = row.split(' ') # ',' for csv43 row = [int(x,16) for x in row]44 if ("no" in prefix): zeros[i].extend(row) # phys chip 0 for NR45 elif (i==j): zeros[i].extend(row) # wait for phys chip i for DE46 if "no" in prefix or i==j:47 f.close()48 break49 forced_zeros_memory = np.array(zeros, dtype=np.int16).view(dtype=np.uint16)50 ones = [[] for i in range(N)]51 for i in range(N):52 if (i==5 and "no" in prefix):53 f = open(prefix + str(i) + "_v2/" + time + "trace_10c_1.txt",'r')54 else:55 f = open(prefix + str(i) + "/" + time + "trace_10c_1.txt",'r')56 for j in range(N):57 f.readline() # skip the "physical chip #" print58 for k in range(M/16): #while True:59 row = f.readline()60 row = row.split(' ') # ',' for csv61 row = [int(x,16) for x in row]62 if ("no" in prefix): ones[i].extend(row)63 elif (i==j): ones[i].extend(row)64 if "no" in prefix or i==j:65 f.close()66 break67 forced_ones_memory = np.array(ones, dtype=np.int16).view(dtype=np.uint16)68 return forced_ones_memory, forced_zeros_memory69bit_failures = np.zeros((8,2048*16))70start_addr_tmp = 071data_length = M72fig, axs = plt.subplots(2,8,sharex=True,sharey=True,figsize=(14,10))73cmap = "gnuplot" #"brg"#"gnuplot"74start_addr_tmp = 10#0x30075data_length = 10 #1076mask_ones = np.zeros((8,2048*2),dtype=np.int16)77mask_zeros = np.zeros((8,2048*2),dtype=np.int16)78f = open("../c_models_test/c_lstm2/activation_mask_NR_TENYEAR.c","r")79for i in range(8):80 f.readline()81 mask_zeros[i,10:10+data_length] = eval("["+f.readline()[1:-3]+"]")82 f.readline()83 mask_ones[i,10:10+data_length] = eval("["+f.readline()[1:-3]+"]")84f.close() 85mask_ones = mask_ones.view(dtype=np.int16)86mask_zeros = mask_zeros.view(dtype=np.int16)87for i in range(8):88 set_failures = get_failures(mask_ones[i,start_addr_tmp:start_addr_tmp+data_length],1)89 reset_failures = get_failures(mask_zeros[i,start_addr_tmp:start_addr_tmp+data_length],0)90 bit_failures[i,100*16:100*16+16*data_length] = np.logical_or(set_failures,reset_failures)91 axs[0,i].imshow(1-bit_failures[i].reshape((128,16*16)),extent=(0,16*16,0,128),aspect="auto", cmap=cmap ,vmin=0,vmax=1)92start_addr_tmp = 093data_length = M94bit_failures = np.zeros((8,2048*16))95mask_ones,mask_zeros = get_masks("../data/processed/lstm_de_clean_c")96mask_ones0,mask_zeros0 = get_masks("../data/processed/lstm_de_clean_c","0")97for i in range(8):98 set_failures = get_failures(mask_ones[i,start_addr_tmp:start_addr_tmp+data_length],1)99 reset_failures = get_failures(mask_zeros[i,start_addr_tmp:start_addr_tmp+data_length],0)100 bit_failures[i,0:16*data_length] = np.logical_or(set_failures,reset_failures)101 set_failures = get_failures(mask_ones0[i,start_addr_tmp:start_addr_tmp+data_length],1)102 reset_failures = get_failures(mask_zeros0[i,start_addr_tmp:start_addr_tmp+data_length],0)103 bit_failures[i,0:16*data_length] -= np.logical_or(set_failures,reset_failures)104 axs[1,i].imshow(1-bit_failures[i].reshape((128,16*16)),extent=(0,16*16,0,128),aspect="auto", cmap=cmap,vmin=0,vmax=1)105for i in range(8):106 axs[1,i].set_xlabel("Chip " +str(i),fontsize=18)107 for j in range(2):108 axs[j,i].set_xticks(np.arange(0,16*16,4*16))109 #axs[j,i].set_xticklabels(np.arange(0,16*16,4*16))110 #axs[j,i].set_xlim((0,16))111axs[0,0].set_ylabel("Without any\nResiliency Technique",fontsize=18)112axs[1,0].set_ylabel("With\nDistributed ENDURER",fontsize=18)113fig.suptitle("Permanent Bit Failures - 10-Years: LSTM",fontsize=28)...
plot_svhn.py
Source:plot_svhn.py
...14import matplotlib.pyplot as plt15import numpy as np16N = 817M = 204818def get_failures(array, expected):19 failures = np.zeros((array.shape[0],16))20 for i in range(array.shape[0]):21 for j in range(16):22 if int(get_bit(array[i],j))!=expected:23 failures[i,j] = 124 return failures.reshape(-1)25def get_bit(uint16_word, index):26 word = np.uint16(uint16_word) # force just in case27 s = bin(word)[2:]28 if len(s)<16:29 s = "0"*(16-len(s))+s30 return s[index]31def get_masks(prefix,time="2010"):#19710"):32 zeros = [[] for i in range(N)]33 f = open(prefix + "/" + time + "trace_10c_0.txt",'r')34 for i in range(N):35 f.readline() # skip the "physical chip #" print36 for k in range(M/16): #while True:37 row = f.readline()38 row = row.split(' ') # ',' for csv39 row = [int(x,16) for x in row]40 zeros[i].extend(row)41 f.close()42 forced_zeros_memory = np.array(zeros, dtype=np.int16).view(dtype=np.uint16)43 ones = [[] for i in range(N)]44 f = open(prefix + "/" + time + "trace_10c_1.txt",'r')45 for i in range(N):46 f.readline() # skip the "physical chip #" print47 for k in range(M/16): #while True:48 row = f.readline()49 row = row.split(' ') # ',' for csv50 row = [int(x,16) for x in row]51 ones[i].extend(row)52 f.close()53 forced_ones_memory = np.array(ones, dtype=np.int16).view(dtype=np.uint16)54 return forced_ones_memory, forced_zeros_memory55bit_failures = np.zeros((8,2048*16))56start_addr_tmp = 057data_length = M58fig, axs = plt.subplots(2,8,sharex=True,sharey=True,figsize=(14,10))59cmap = "gnuplot" #"coolwarm_r"#"RdYlGn"60start_addr_tmp = 10#M-6461data_length = 6462mask_ones = np.zeros((8,2048*2),dtype=np.int8)63mask_zeros = np.zeros((8,2048*2),dtype=np.int8)64i=065f = open("../c_models_test/c_svhn/activation_mask_NR_TENYEAR.c","r")66data = f.readline()67full_data = ''68while ';' not in data:69 data = f.readline()70 full_data += data71mask_zeros[i,10:10+data_length*2] 72arr = eval("["+full_data[1:-3]+"]")73mask_zeros[i,10:10+data_length*2] = arr74data = f.readline()75full_data = ''76while ';' not in data:77 data = f.readline()78 full_data += data79arr = eval("["+full_data[1:-3]+"]")80mask_ones[i,10:10+data_length*2] = arr81f.close() 82start_addr_tmp = 1083for i in range(8):84 if (i==0):85 set_failures = get_failures(mask_ones[i,start_addr_tmp:start_addr_tmp+data_length],1)86 reset_failures = get_failures(mask_zeros[i,start_addr_tmp:start_addr_tmp+data_length],0)87 bit_failures[i,100*16:100*16+16*data_length] = np.logical_or(set_failures,reset_failures)88 #bit_failures[i,0:16*data_length] = np.logical_or(set_failures,reset_failures)89 #print(bit_failures.sum())90 axs[0,i].imshow(1-bit_failures[i].reshape((128,16*16)),extent=(0,16,0,128),aspect="auto", cmap=cmap ,vmin=0,vmax=1)91start_addr_tmp = 092data_length = M93bit_failures = np.zeros((8,2048*16))94mask_ones,mask_zeros = get_masks("../data/processed/svhn_de_clean")95mask_ones0,mask_zeros0 = get_masks("../data/processed/svhn_de_clean","0")96for i in range(8):97 set_failures = get_failures(mask_ones[i,start_addr_tmp:start_addr_tmp+data_length],1)98 reset_failures = get_failures(mask_zeros[i,start_addr_tmp:start_addr_tmp+data_length],0)99 bit_failures[i,0:16*data_length] = np.logical_or(set_failures,reset_failures)100 set_failures = get_failures(mask_ones0[i,start_addr_tmp:start_addr_tmp+data_length],1)101 reset_failures = get_failures(mask_zeros0[i,start_addr_tmp:start_addr_tmp+data_length],0)102 bit_failures[i,0:16*data_length] -= np.logical_or(set_failures,reset_failures)103 axs[1,i].imshow(1-bit_failures[i].reshape((128,16*16)),extent=(0,16,0,128),aspect="auto", cmap=cmap,vmin=0,vmax=1)104for i in range(8):105 axs[1,i].set_xlabel("Chip " +str(i),fontsize=18)106 for j in range(2):107 axs[j,i].set_xticks(np.arange(0,16,4))108 axs[j,i].set_xticklabels(np.arange(0,16*16,4*16))109 #axs[j,i].set_xlim((0,16))110axs[0,0].set_ylabel("Without any\nResiliency Technique",fontsize=18)111axs[1,0].set_ylabel("With\nDistributed ENDURER",fontsize=18)112fig.suptitle("Permanent Bit Failures - 10-Years: SVHN",fontsize=28)...
plot_d2nn.py
Source:plot_d2nn.py
...14import matplotlib.pyplot as plt15import numpy as np16N = 817M = 204818def get_failures(array, expected):19 failures = np.zeros((array.shape[0],16))20 for i in range(array.shape[0]):21 for j in range(16):22 if int(get_bit(array[i],j))!=expected:23 failures[i,j] = 124 return failures.reshape(-1)25def get_bit(uint16_word, index):26 word = np.uint16(uint16_word) # force just in case27 s = bin(word)[2:]28 if len(s)<16:29 s = "0"*(16-len(s))+s30 return s[index]31def get_masks(prefix,time="19710"):32 zeros = [[] for i in range(N)]33 f = open(prefix + "/" + time + "trace_10c_0.txt",'r')34 for i in range(N):35 f.readline() # skip the "physical chip #" print36 for k in range(M/16): #while True:37 row = f.readline()38 row = row.split(' ') # ',' for csv39 row = [int(x,16) for x in row]40 zeros[i].extend(row)41 f.close()42 forced_zeros_memory = np.array(zeros, dtype=np.int16).view(dtype=np.uint16)43 ones = [[] for i in range(N)]44 f = open(prefix + "/" + time + "trace_10c_1.txt",'r')45 for i in range(N):46 f.readline() # skip the "physical chip #" print47 for k in range(M/16): #while True:48 row = f.readline()49 row = row.split(' ') # ',' for csv50 row = [int(x,16) for x in row]51 ones[i].extend(row)52 f.close()53 forced_ones_memory = np.array(ones, dtype=np.int16).view(dtype=np.uint16)54 return forced_ones_memory, forced_zeros_memory55bit_failures = np.zeros((8,2048*16))56start_addr_tmp = 057data_length = M58fig, axs = plt.subplots(2,8,sharex=True,sharey=True,figsize=(14,10))59cmap = "gnuplot"60start_addr_tmp = M-102461data_length = 21662mask_ones,mask_zeros = get_masks("../data/processed/d2nn_no_resilience_clean","59130")63for i in range(8):64 if i==0:65 set_failures = get_failures(mask_ones[i,start_addr_tmp:start_addr_tmp+data_length],1)66 reset_failures = get_failures(mask_zeros[i,start_addr_tmp:start_addr_tmp+data_length],0)67 bit_failures[i,100*16:100*16+16*data_length] = np.logical_or(set_failures,reset_failures)68 axs[0,i].imshow(1-bit_failures[i].reshape((128,16*16)),extent=(0,16,0,128),aspect="auto", cmap=cmap ,vmin=0,vmax=1)69start_addr_tmp = 070data_length = M71bit_failures = np.zeros((8,2048*16))72mask_ones,mask_zeros = get_masks("../data/processed/d2nn_de_clean","59130")73mask_ones0,mask_zeros0 = get_masks("../data/processed/d2nn_de_clean","0")74for i in range(8):75 set_failures = get_failures(mask_ones[i,start_addr_tmp:start_addr_tmp+data_length],1)76 reset_failures = get_failures(mask_zeros[i,start_addr_tmp:start_addr_tmp+data_length],0)77 bit_failures[i,0:16*data_length] = np.logical_or(set_failures,reset_failures)78 set_failures = get_failures(mask_ones0[i,start_addr_tmp:start_addr_tmp+data_length],1)79 reset_failures = get_failures(mask_zeros0[i,start_addr_tmp:start_addr_tmp+data_length],0)80 bit_failures[i,0:16*data_length] -= np.logical_or(set_failures,reset_failures)81 axs[1,i].imshow(1-bit_failures[i].reshape((128,16*16)),extent=(0,16,0,128),aspect="auto", cmap=cmap,vmin=0,vmax=1)82for i in range(8):83 axs[1,i].set_xlabel("Chip " +str(i),fontsize=18)84 for j in range(2):85 axs[j,i].set_xticks(np.arange(0,16,4))86 axs[j,i].set_xticklabels(np.arange(0,16*16,4*16))87 #axs[j,i].set_xlim((0,16))88axs[0,0].set_ylabel("Without any\nResiliency Technique",fontsize=18)89axs[1,0].set_ylabel("With\nDistributed ENDURER",fontsize=18)90fig.suptitle("Permanent Bit Failures - 10-Years: D2NN",fontsize=28)...
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