Best Python code snippet using stestr_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)...Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.
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