Kaggle competition: IEEE-CIS Fraud Detection
<SOS> metric: AUC Kaggle data source: ieee-cis-fraud-detection<define_search_model>
!pip install the1owl
def BatchActivate(x):
x = BatchNormalization()(x)
 x = Activation('relu' )(x)
 return x
def convolution_block(x, filters, size, strides=(1,1), padding='same', activation=True):
x = Conv2D(filters, size, strides=strides, padding=padding )(x)
 if activation == True:
x = BatchActivate(x)
 return x
def residual_block(blockInput, num_filters=16, batch_activate = False):
x = BatchActivate(blockInput)
 x = convolution_block(x, num_filters,(3,3))
x = convolution_block(x, num_filters,(3,3), activation=False)
 x = Add()([x, blockInput])
 if batch_activate:
x = BatchActivate(x)
 return x 
<choose_model_class>
warnings.filterwarnings('ignore')
 PATH = '.. /input/ieee-fraud-detection/'
os.listdir(PATH )
def build_model(input_layer, start_neurons, DropoutRatio = 0.5):
conv1 = Conv2D(start_neurons * 1,(3, 3), activation=None, padding="same" )(input_layer)
 conv1 = residual_block(conv1,start_neurons * 1)
 conv1 = residual_block(conv1,start_neurons * 1, True)
 pool1 = MaxPooling2D(( 2, 2))(conv1)
 pool1 = Dropout(DropoutRatio/2 )(pool1)
 conv2 = Conv2D(start_neurons * 2,(3, 3), activation=None, padding="same" )(pool1)
 conv2 = residual_block(conv2,start_neurons * 2)
 conv2 = residual_block(conv2,start_neurons * 2, True)
 pool2 = MaxPooling2D(( 2, 2))(conv2)
 pool2 = Dropout(DropoutRatio )(pool2)
 conv3 = Conv2D(start_neurons * 4,(3, 3), activation=None, padding="same" )(pool2)
 conv3 = residual_block(conv3,start_neurons * 4)
 conv3 = residual_block(conv3,start_neurons * 4, True)
 pool3 = MaxPooling2D(( 2, 2))(conv3)
 pool3 = Dropout(DropoutRatio )(pool3)
 conv4 = Conv2D(start_neurons * 8,(3, 3), activation=None, padding="same" )(pool3)
 conv4 = residual_block(conv4,start_neurons * 8)
 conv4 = residual_block(conv4,start_neurons * 8, True)
 pool4 = MaxPooling2D(( 2, 2))(conv4)
 pool4 = Dropout(DropoutRatio )(pool4)
 convm = Conv2D(start_neurons * 16,(3, 3), activation=None, padding="same" )(pool4)
 convm = residual_block(convm,start_neurons * 16)
 convm = residual_block(convm,start_neurons * 16, True)
 deconv4 = Conv2DTranspose(start_neurons * 8,(3, 3), strides=(2, 2), padding="same" )(convm)
 uconv4 = concatenate([deconv4, conv4])
 uconv4 = Dropout(DropoutRatio )(uconv4)
 uconv4 = Conv2D(start_neurons * 8,(3, 3), activation=None, padding="same" )(uconv4)
 uconv4 = residual_block(uconv4,start_neurons * 8)
 uconv4 = residual_block(uconv4,start_neurons * 8, True)
 deconv3 = Conv2DTranspose(start_neurons * 4,(3, 3), strides=(2, 2), padding="valid" )(uconv4)
 uconv3 = concatenate([deconv3, conv3])
 uconv3 = Dropout(DropoutRatio )(uconv3)
 uconv3 = Conv2D(start_neurons * 4,(3, 3), activation=None, padding="same" )(uconv3)
 uconv3 = residual_block(uconv3,start_neurons * 4)
 uconv3 = residual_block(uconv3,start_neurons * 4, True)
 deconv2 = Conv2DTranspose(start_neurons * 2,(3, 3), strides=(2, 2), padding="same" )(uconv3)
 uconv2 = concatenate([deconv2, conv2])
 uconv2 = Dropout(DropoutRatio )(uconv2)
 uconv2 = Conv2D(start_neurons * 2,(3, 3), activation=None, padding="same" )(uconv2)
 uconv2 = residual_block(uconv2,start_neurons * 2)
 uconv2 = residual_block(uconv2,start_neurons * 2, True)
 deconv1 = Conv2DTranspose(start_neurons * 1,(3, 3), strides=(2, 2), padding="valid" )(uconv2)
 uconv1 = concatenate([deconv1, conv1])
 uconv1 = Dropout(DropoutRatio )(uconv1)
 uconv1 = Conv2D(start_neurons * 1,(3, 3), activation=None, padding="same" )(uconv1)
 uconv1 = residual_block(uconv1,start_neurons * 1)
 uconv1 = residual_block(uconv1,start_neurons * 1, True)
 output_layer_noActi = Conv2D(1,(1,1), padding="same", activation=None )(uconv1)
 output_layer = Activation('sigmoid' )(output_layer_noActi)
 return output_layer<compute_train_metric>
train_identity = pd.read_csv(PATH + 'train_identity.csv', index_col='TransactionID')
 train_transaction = pd.read_csv(PATH + 'train_transaction.csv', index_col='TransactionID')
 test_identity = pd.read_csv(PATH + 'test_identity.csv', index_col='TransactionID')
 test_transaction = pd.read_csv(PATH + 'test_transaction.csv', index_col='TransactionID' )
def get_iou_vector(A, B):
batch_size = A.shape[0]
metric = []
for batch in range(batch_size):
t, p = A[batch]>0, B[batch]>0
intersection = np.logical_and(t, p)
 union = np.logical_or(t, p)
 iou =(np.sum(intersection > 0)+ 1e-10)/(np.sum(union > 0)+ 1e-10)
 thresholds = np.arange(0.5, 1, 0.05)
 s = []
for thresh in thresholds:
s.append(iou > thresh)
 metric.append(np.mean(s))
return np.mean(metric)
 def my_iou_metric(label, pred):
return tf.py_func(get_iou_vector, [label, pred>0.5], tf.float64)
 def my_iou_metric_2(label, pred):
return tf.py_func(get_iou_vector, [label, pred >0], tf.float64 )<compute_train_metric>
train_transaction['nulls1'] = train_transaction.isna().sum(axis=1)
 test_transaction['nulls1'] = test_transaction.isna().sum(axis=1)
 train_identity['nulls2'] = train_identity.isna().sum(axis=1)
 test_identity['nulls2'] = test_identity.isna().sum(axis=1 )
def lovasz_grad(gt_sorted):

 gts = tf.reduce_sum(gt_sorted)
 intersection = gts - tf.cumsum(gt_sorted)
 union = gts + tf.cumsum(1.- gt_sorted)
 jaccard = 1.- intersection / union
jaccard = tf.concat(( jaccard[0:1], jaccard[1:] - jaccard[:-1]), 0)
 return jaccard
def lovasz_hinge(logits, labels, per_image=True, ignore=None):

 if per_image:
def treat_image(log_lab):
log, lab = log_lab
log, lab = tf.expand_dims(log, 0), tf.expand_dims(lab, 0)
 log, lab = flatten_binary_scores(log, lab, ignore)
 return lovasz_hinge_flat(log, lab)
 losses = tf.map_fn(treat_image,(logits, labels), dtype=tf.float32)
 loss = tf.reduce_mean(losses)
 else:
loss = lovasz_hinge_flat(*flatten_binary_scores(logits, labels, ignore))
return loss
def lovasz_hinge_flat(logits, labels):

 def compute_loss() :
labelsf = tf.cast(labels, logits.dtype)
 signs = 2.* labelsf - 1.
 errors = 1.- logits * tf.stop_gradient(signs)
 errors_sorted, perm = tf.nn.top_k(errors, k=tf.shape(errors)[0], name="descending_sort")
 gt_sorted = tf.gather(labelsf, perm)
 grad = lovasz_grad(gt_sorted)
 loss = tf.tensordot(tf.nn.elu(errors_sorted), tf.stop_gradient(grad), 1, name="loss_non_void")
 return loss
loss = tf.cond(tf.equal(tf.shape(logits)[0], 0),
lambda: tf.reduce_sum(logits)* 0.,
compute_loss,
strict=True,
name="loss" 
)
 return loss
def flatten_binary_scores(scores, labels, ignore=None):

 scores = tf.reshape(scores,(-1,))
labels = tf.reshape(labels,(-1,))
if ignore is None:
return scores, labels
valid = tf.not_equal(labels, ignore)
 vscores = tf.boolean_mask(scores, valid, name='valid_scores')
 vlabels = tf.boolean_mask(labels, valid, name='valid_labels')
 return vscores, vlabels
def lovasz_loss(y_true, y_pred):
y_true, y_pred = K.cast(K.squeeze(y_true, -1), 'int32'), K.cast(K.squeeze(y_pred, -1), 'float32')
 logits = y_pred
loss = lovasz_hinge(logits, y_true, per_image = True, ignore = None)
 return loss<concatenate>
emails = {'gmail': 'google', 'att.net': 'att', 'twc.com': 'spectrum', 'scranton.edu': 'other',
'optonline.net': 'other', 'hotmail.co.uk': 'microsoft', 'comcast.net': 'other',
'yahoo.com.mx': 'yahoo', 'yahoo.fr': 'yahoo', 'yahoo.es': 'yahoo', 'charter.net': 'spectrum',
'live.com': 'microsoft', 'aim.com': 'aol', 'hotmail.de': 'microsoft', 'centurylink.net': 'centurylink',
'gmail.com': 'google', 'me.com': 'apple', 'earthlink.net': 'other', 'gmx.de': 'other', 'web.de': 'other',
'cfl.rr.com': 'other', 'hotmail.com': 'microsoft', 'protonmail.com': 'other', 'hotmail.fr': 'microsoft',
'windstream.net': 'other', 'outlook.es': 'microsoft', 'yahoo.co.jp': 'yahoo', 'yahoo.de': 'yahoo',
'servicios-ta.com': 'other', 'netzero.net': 'other', 'suddenlink.net': 'other', 'roadrunner.com': 'other',
'sc.rr.com': 'other', 'live.fr': 'microsoft', 'verizon.net': 'yahoo', 'msn.com': 'microsoft',
'q.com': 'centurylink', 'prodigy.net.mx': 'att', 'frontier.com': 'yahoo', 'anonymous.com': 'other',
'rocketmail.com': 'yahoo', 'sbcglobal.net': 'att', 'frontiernet.net': 'yahoo', 'ymail.com': 'yahoo',
'outlook.com': 'microsoft', 'mail.com': 'other', 'bellsouth.net': 'other', 'embarqmail.com': 'centurylink',
'cableone.net': 'other', 'hotmail.es': 'microsoft', 'mac.com': 'apple', 'yahoo.co.uk': 'yahoo',
'netzero.com': 'other', 'yahoo.com': 'yahoo', 'live.com.mx': 'microsoft', 'ptd.net': 'other',
'cox.net': 'other', 'aol.com': 'aol', 'juno.com': 'other', 'icloud.com': 'apple'}
us_emails = ['gmail', 'net', 'edu']
x_train = np.append(x_train, [np.fliplr(x)for x in x_train], axis=0)
 y_train = np.append(y_train, [np.fliplr(x)for x in y_train], axis=0)
 print(x_train.shape)
 print(y_valid.shape )<choose_model_class>
for c in ['P_emaildomain', 'R_emaildomain']:
train_transaction[c + '_bin'] = train_transaction[c].map(emails)
 test_transaction[c + '_bin'] = test_transaction[c].map(emails)
 train_transaction[c + '_suffix'] = train_transaction[c].map(lambda x: str(x ).split('.')[-1])
 test_transaction[c + '_suffix'] = test_transaction[c].map(lambda x: str(x ).split('.')[-1])
 train_transaction[c + '_suffix'] = train_transaction[c + '_suffix'].map(lambda x: x if str(x)not in us_emails else 'us')
 test_transaction[c + '_suffix'] = test_transaction[c + '_suffix'].map(lambda x: x if str(x)not in us_emails else 'us' )
input_layer = Input(( img_size_target, img_size_target, 1))
output_layer = build_model(input_layer, 16,0.5)
 model1 = Model(input_layer, output_layer)
 c = optimizers.adam(lr = 0.01)
 model1.compile(loss="binary_crossentropy", optimizer=c, metrics=[my_iou_metric])
<train_model>
labels = {np.nan: -999, 'nan': -999, 't': 1, 'f': 2, 'm2': 3, 'm0': 4, 'm1': 5, 'gmail.com': 6, 'outlook.com': 7,
'yahoo.com': 8, 'mail.com': 9, 'anonymous.com': 10, 'hotmail.com': 11, 'verizon.net': 12, 'aol.com': 13,
'me.com': 14, 'comcast.net': 15, 'optonline.net': 16, 'cox.net': 17, 'charter.net': 18, 'rocketmail.com': 19,
'prodigy.net.mx': 20, 'embarqmail.com': 21, 'icloud.com': 22, 'live.com.mx': 23, 'gmail': 24, 'live.com': 25,
'att.net': 26, 'juno.com': 27, 'ymail.com': 28, 'sbcglobal.net': 29, 'bellsouth.net': 30, 'msn.com': 31,
'q.com': 32, 'yahoo.com.mx': 33, 'centurylink.net': 34, 'servicios-ta.com': 35, 'earthlink.net': 36,
'hotmail.es': 37, 'cfl.rr.com': 38, 'roadrunner.com': 39, 'netzero.net': 40, 'gmx.de': 41,
'suddenlink.net': 42, 'frontiernet.net': 43, 'windstream.net': 44, 'frontier.com': 45, 'outlook.es': 46,
'mac.com': 47, 'netzero.com': 48, 'aim.com': 49, 'web.de': 50, 'twc.com': 51, 'cableone.net': 52,
'yahoo.fr': 53, 'yahoo.de': 54, 'yahoo.es': 55, 'sc.rr.com': 56, 'ptd.net': 57, 'live.fr': 58,
'yahoo.co.uk': 59, 'hotmail.fr': 60, 'hotmail.de': 61, 'hotmail.co.uk': 62, 'protonmail.com': 63,
'yahoo.co.jp': 64, 'scranton.edu': 65, 'w': 66, 'h': 67, 'c': 68, 's': 69, 'r': 70, 'discover': 71,
'mastercard': 72, 'visa': 73, 'american express': 74, 'credit': 75, 'debit': 76, 'debit or credit': 77,
'charge card': 78, 'notfound': 81, 'found': 82, 'new': 83, 'unknown': 84, 'ip_proxy:transparent': 85,
'ip_proxy:anonymous': 86, 'ip_proxy:hidden': 87, 'android 7.0': 88, 'ios 11.1.2': 89, 'mac os x 10_11_6': 90,
'windows 10': 91, 'android': 284, 'linux': 93, 'ios 11.0.3': 94, 'mac os x 10_7_5': 95, 'mac os x 10_12_6': 96,
'mac os x 10_13_1': 97, 'ios 11.1.0': 98, 'mac os x 10_9_5': 99, 'windows 7': 100, 'windows 8.1': 101, 'mac': 102,
'ios 10.3.3': 103, 'mac os x 10.12': 104, 'mac os x 10_10_5': 105, 'mac os x 10_11_5': 106, 'ios 9.3.5': 107,
'android 5.1.1': 108, 'android 7.1.1': 109, 'android 6.0': 110, 'ios 10.3.1': 111, 'mac os x 10.9': 112,
'ios 11.1.1': 113, 'windows vista': 114, 'ios 10.3.2': 115, 'ios 11.0.2': 116, 'mac os x 10.11': 117,
'android 8.0.0': 118, 'ios 10.2.0': 119, 'ios 10.2.1': 120, 'ios 11.0.0': 121, 'mac os x 10.10': 122,
'mac os x 10_12_3': 123, 'mac os x 10_12': 124, 'android 6.0.1': 125, 'ios': 126, 'mac os x 10.13': 127,
'mac os x 10_12_5': 128, 'mac os x 10_8_5': 129, 'ios 11.0.1': 130, 'ios 10.0.2': 131, 'android 5.0.2': 132,
'windows xp': 133, 'ios 11.2.0': 134, 'mac os x 10.6': 135, 'windows 8': 136, 'mac os x 10_6_8': 137,
'mac os x 10_11_4': 138, 'mac os x 10_12_1': 139, 'ios 10.1.1': 140, 'mac os x 10_11_3': 141,
'mac os x 10_12_4': 142, 'mac os x 10_13_2': 143, 'android 4.4.2': 144, 'mac os x 10_12_2': 145,
'android 5.0': 146, 'func': 147, 'android 7.1.2': 148, 'android 8.1.0': 149, 'other': 150, 'mac os x 10_13_3': 151,
'ios 11.2.1': 152, 'ios 11.2.5': 153, 'windows': 154, 'ios 11.2.2': 155, 'ios 11.3.0': 156, 'ios 11.2.6': 157,
'mac os x 10_13_4': 158, 'mac os x 10_13_5': 159, 'ios 11.4.0': 160, 'ios 11.3.1': 161, 'ios 11.4.1': 162,
'android 9': 163, 'ios 12.0.0': 164, 'mac os x 10_13_6': 165, 'mac os x 10.14': 166, 'mac os x 10_14_0': 167,
'mac os x 10_14': 168, 'ios 12.1.0': 169, 'mac os x 10_14_1': 170, 'ios 12.0.1': 171, 'ios 12.1.1': 172,
'mac os x 10_14_2': 173, 'ios 12.1.2': 174, 'samsung browser 6.2': 175, 'mobile safari 11.0': 176,
'chrome 62.0': 177, 'chrome 62.0 for android': 178, 'edge 15.0': 179, 'mobile safari generic': 180,
'chrome 49.0': 181, 'chrome 61.0': 182, 'edge 16.0': 183, 'safari generic': 184, 'edge 14.0': 185,
'chrome 56.0 for android': 186, 'firefox 57.0': 187, 'chrome 54.0 for android': 188,
'mobile safari uiwebview': 189, 'chrome': 190, 'chrome 62.0 for ios': 191, 'firefox': 192,
'chrome 60.0 for android': 193, 'mobile safari 10.0': 194, 'chrome 61.0 for android': 195,
'ie 11.0 for desktop': 196, 'ie 11.0 for tablet': 197, 'mobile safari 9.0': 198, 'chrome generic': 199,
'chrome 59.0 for android': 200, 'firefox 56.0': 201, 'android webview 4.0': 202, 'chrome 55.0': 203,
'opera 49.0': 204, 'ie': 205, 'chrome 55.0 for android': 206, 'firefox 52.0': 207,
'chrome 57.0 for android': 208, 'chrome 56.0': 209, 'chrome 46.0 for android': 210, 'chrome 58.0': 211,
'firefox 48.0': 212, 'chrome 59.0': 213, 'samsung browser 4.0': 214, 'edge 13.0': 215,
'chrome 53.0 for android': 216, 'chrome 58.0 for android': 217, 'chrome 60.0': 218, 'mobile safari 8.0': 219,
'firefox generic': 220, 'generic/android 7.0': 221, 'mobile': 222, 'samsung/sm-g532m': 223,
'chrome 50.0 for android': 224, 'chrome 51.0 for android': 225, 'chrome 63.0': 226, 'chrome 52.0 for android': 227,
'chrome 51.0': 228, 'firefox 55.0': 229, 'edge': 230, 'opera': 231, 'chrome generic for android': 232,
'aol': 233, 'samsung browser 5.4': 234, 'samsung/sch': 235, 'silk': 236, 'chrome 57.0': 237, 'firefox 47.0': 238,
'chrome 63.0 for android': 239, 'samsung/sm-g531h': 240, 'chrome 43.0 for android': 241, 'waterfox': 242,
'nokia/lumia': 243, 'chrome 63.0 for ios': 244, 'puffin': 245, 'microsoft/windows': 246, 'cyberfox': 247,
'generic/android': 248, 'samsung': 849, 'opera generic': 250, 'chrome 49.0 for android': 251, 'zte/blade': 252,
'safari': 253, 'android browser 4.0': 254, 'samsung browser 5.2': 255, 'palemoon': 256, 'maxthon': 257,
'line': 258, 'lg/k-200': 259, 'iron': 260, 'blu/dash': 261, 'seamonkey': 262, 'firefox 58.0': 263,
'chrome 64.0 for android': 264, 'chrome 64.0': 265, 'firefox 59.0': 266, 'chrome 64.0 for ios': 267,
'm4tel/m4': 268, 'comodo': 269, 'lanix/ilium': 270, 'samsung browser generic': 271, 'chromium': 272,
'opera 51.0': 273, 'inco/minion': 274, 'samsung browser 7.0': 275, 'mozilla/firefox': 276,
'samsung browser 4.2': 277, 'samsung browser 6.4': 278, 'chrome 65.0': 279, 'chrome 65.0 for android': 280,
'chrome 65.0 for ios': 281, 'cherry': 282, 'icedragon': 283, 'edge 17.0': 285, 'chrome 66.0': 286,
'chrome 66.0 for android': 287, 'safari 11.0': 288, 'safari 9.0': 289, 'safari 10.0': 290, 'google': 291,
'chrome 66.0 for ios': 292, 'google search application 48.0': 293, 'opera 52.0': 294, 'firefox 60.0': 295,
'opera 53.0': 296, 'samsung browser 3.3': 297, 'google search application 49.0': 298, 'facebook': 299,
'firefox mobile 61.0': 300, 'chrome 67.0': 301, 'chrome 69.0': 302, 'chrome 67.0 for android': 303,
'firefox 61.0': 304, 'samsung browser 7.2': 305, 'chrome 67.0 for ios': 306,
'google search application 52.0': 307, 'firefox 62.0': 308, 'mobile safari 12.0': 309, 'chrome 68.0': 310,
'opera 54.0': 311, 'firefox mobile 62.0': 312, 'google search application 54.0': 313, 'safari 12.0': 314,
'chrome 68.0 for android': 315, 'chrome 68.0 for ios': 316, 'chrome 39.0 for android': 317, 'chrome 70.0': 318,
'rim': 2752, 'chrome 69.0 for android': 320, 'google search application 56.0': 321, 'samsung browser 7.4': 322,
'opera 55.0': 323, 'firefox 63.0': 324, 'google search application 58.0': 325, 'chrome 69.0 for ios': 326,
'chrome 70.0 for android': 327, 'uc': 328, 'google search application 59.0': 329, 'opera 56.0': 330,
'chrome 71.0': 331, 'google search application 60.0': 332, 'edge 18.0': 333, 'chrome 70.0 for ios': 334,
'firefox mobile 63.0': 335, 'google search application 61.0': 336, 'firefox 64.0': 337,
'google search application 62.0': 338, 'chrome 71.0 for android': 339, 'google search application 63.0': 340,
'chrome 71.0 for ios': 341, 'google search application 64.0': 342, 'samsung browser 8.2': 343,
'google search application 65.0': 344, 'blackberry': 345, '2220x1080': 346, '1334x750': 347,
'1280x800': 348, '1366x768': 349, '1920x1080': 350, '1680x1050': 351, '1136x640': 352, '5120x2880': 353,
'2880x1800': 354, '1920x1200': 355, '2560x1600': 356, '2048x1536': 357, '1024x768': 358, '1280x720': 359,
'2560x1440': 360, '2208x1242': 361, '2001x1125': 362, '1440x900': 363, '1600x900': 364, '2672x1440': 365,
'1280x1024': 366, '960x540': 367, '2732x2048': 368, '2436x1125': 369, '2048x1152': 370, '2960x1440': 371,
'1024x600': 372, '855x480': 373, '4096x2304': 374, '2160x1440': 375, '2562x1442': 376, '801x480': 377,
'2736x1824': 378, '3441x1440': 379, '2880x1620': 380, '3840x2160': 381, '1638x922': 382, '1280x768': 383,
'1360x768': 384, '1280x960': 385, '3440x1440': 386, '1152x720': 387, '1280x1025': 388, '3360x2100': 389,
'2304x1296': 390, '1152x864': 391, '3200x1800': 392, '2112x1188': 393, '2224x1668': 394, '2400x1350': 395,
'2000x1125': 396, '1600x1000': 397, '2560x1080': 398, '1728x972': 399, '3000x2000': 400, '1024x640': 401,
'3840x2400': 402, '2304x1440': 403, '1280x600': 404, '1400x1050': 405, '1600x1200': 406, '3201x1800': 407,
'1356x900': 408, '1344x756': 409, '1624x1080': 410, '1536x864': 411, '1800x1125': 412, '1920x1281': 413,
'2961x1442': 414, '1366x1024': 415, '1344x840': 416, '3360x1890': 417, '1536x1152': 418, '1200x675': 419,
'1480x720': 420, '2400x1600': 421, '3200x2000': 422, '1281x801': 423, '960x640': 424, '1776x1000': 425,
'2048x1280': 426, '2049x1152': 427, '1138x640': 428, '2160x1215': 429, '2880x1440': 430, '0x0': 431,
'2520x1575': 432, '5760x3240': 433, '3843x2163': 434, '1184x720': 435, '1440x810': 436, '2076x1080': 437,
'1600x837': 438, '1093x615': 439, '1281x721': 440, '1152x648': 441, '2392x1440': 442, '2048x1080': 443,
'2735x1825': 444, '1680x945': 445, '1805x1015': 446, '5760x1080': 447, '2816x1584': 448, '4500x3000': 449,
'1684x947': 450, '1440x960': 451, '1364x768': 452, '3072x1728': 453, '5040x3150': 454, '7500x5000': 455,
'768x576': 456, '1768x992': 457, '1658x946': 458, '1200x720': 459, '1239x697': 460, '1188x720': 461,
'1232x800': 462, '1920x1280': 463, '1264x924': 464, '1400x900': 465, '3240x2160': 466, '2961x1440': 467,
'1422x889': 468, '1848x1155': 469, '3360x1050': 470, '3840x1080': 471, '2010x1080': 472, '2160x1350': 473,
'1440x720': 474, '1280x712': 475, '1512x945': 476, '1296x774': 477, '1368x768': 478, '3520x1980': 479
, '800x600': 480, '1700x960': 481, '2560x1800': 482, '6400x3600': 483, '2368x1440': 484, '1824x1026': 485,
'1912x1025': 486, '600x450': 487, '3840x1600': 488, '1760x990': 489, '2700x1800': 490, '1371x857': 491,
'1776x1080': 492, '2552x1337': 493, '3600x2250': 494, '2560x1700': 495, '2816x1760': 496, '1440x800': 497,
'1440x803': 498, '1920x1018': 499, '6016x3384': 500, '1280x620': 501, '1281x720': 502, '1720x1440': 503,
'1408x880': 504, '640x360': 505, '1920x975': 506, '976x600': 507, '1062x630': 508, '2800x1575': 509,
'6720x3780': 510, '1440x759': 511, '1120x700': 512, '1921x1081': 513, '1280x1023': 514, '1279x1023': 515,
'1441x901': 516, '1679x1049': 517, '1680x1051': 518, '2220x1081': 519, '1920x1079': 520, '1919x1199': 521,
'1680x1049': 522, '1365x768': 523, '1919x1079': 524, '1919x1200': 525, '1919x1080': 526, '1366x767': 527,
'1584x990': 528, '2880x1442': 529, '1281x800': 530, '1229x691': 531, '1600x1024': 532, '1600x899': 533,
'1536x960': 534, '1502x844': 535, '1920x1201': 536, '1439x809': 537, '1408x792': 538, '1279x1024': 539,
'1599x900': 540, '1920x1081': 541, '921x691': 542, '3841x2161': 543, '1921x1080': 544, '480x320': 545,
'1888x941': 546, '2049x1536': 547, '2160x1439': 548, '1707x960': 549, '1024x767': 550, '1365x767': 551,
'3001x2000': 552, '3839x2160': 553, '1916x901': 554, '3838x2158': 555, '1599x899': 556, '3199x1800': 557,
'1511x944': 558, '2737x1825': 559, '2736x1823': 560, '2735x1823': 561, '2559x1439': 562, '2400x1500': 563,
'2882x1442': 564, '1729x973': 565, '1727x971': 566, '1023x767': 567, '1918x1080': 568, '1439x900': 569,
'4499x2999': 570, '1280x740': 571, '2999x2000': 572, '1024x552': 573, '1440x899': 574, '2255x1503': 575,
'1025x768': 576, '1280x732': 577, '3839x2159': 578, '3840x2162': 579, '3696x2310': 580, '2159x1439': 581,
'2256x1504': 582, '1439x899': 583, '2159x1440': 584, '1359x768': 585, '1092x614': 586, '2048x1278': 587,
'2591x1619': 588, '4200x2625': 589, '2710x1440': 590, '1272x960': 591, '1023x768': 592, '3838x2160': 593,
'2100x1312': 594, '1360x767': 595, '1024x819': 596, '1502x845': 597, '2561x1442': 598, '2559x1440': 599,
'2160x1081': 600, '1920x1279': 601, '2160x1080': 602, '1596x710': 603, '1496x844': 604, '1280x900': 605,
'2047x1152': 606, '2094x1080': 607, '1800x1440': 608, '993x664': 609, '1622x1081': 610, '1360x765': 611,
'1280x799': 612, '1279x800': 613, '1920x983': 614, '888x540': 615, '1722x1440': 616, '1679x1050': 617,
'2791x1440': 618, '1921x1200': 619, '6144x3456': 620, '2699x1799': 621, '4096x3072': 622, '4608x2592': 623,
'910x512': 624, '2257x1505': 625, '1536x1024': 626, '1208x720': 627, '1842x1047': 628, '2462x1641': 629,
'1920x1199': 630, '1601x900': 631, '1368x912': 632, '2112x1320': 633, '1265x948': 634, '1359x767': 635,
'1920x1017': 636, '1681x1050': 637, '3241x2161': 638, '3011x2007': 639, '2188x1459': 640, '1599x1200': 641,
'1500x1000': 642, '2560x1313': 643, '1920x1440': 644, '2703x1441': 645, '1151x921': 646, '3000x1687': 647,
'1151x863': 648, '1480x721': 649, '792x480': 650, '3521x1980': 651, '1279x767': 652, '3200x1801': 653,
'2560x1439': 654, '1272x952': 655, '1600x901': 656, '2255x1504': 657, '1862x1048': 658, '3840x2159': 659,
'3168x1980': 660, '3439x1440': 661, '2560x1441': 662, '800x480': 663, '3200x1799': 664, '3840x2161': 665,
'1364x767': 666, '3000x1999': 667, '2688x1242': 668, '1080x675': 669, '2735x1824': 670, '2303x1295': 671,
'1592x828': 672, '3122x1442': 673, '2560x1599': 674, '3239x2159': 675, '1281x1024': 676, '1466x403': 677,
'4096x2160': 678, '1727x1079': 679, '1231x358': 680, '3584x2016': 681, '2390x1344': 682, '3839x2158': 683,
'2281x1081': 684, '1152x672': 685, '2401x1350': 686, '2560x1079': 687, '2161x1080': 688, '1366x766': 689,
'683x384': 690, '1720x947': 691, '1024x576': 692, '4320x2700': 693, '2341x1081': 694, '1537x865': 695,
'1792x828': 696, '960x480': 697, '3280x2048': 698, '1408x844': 699, '1021x669': 700, '1800x1200': 701,
'3120x1440': 702, '1919x1279': 703, '1279x799': 704, '2556x1248': 705, '1000x798': 706, '1600x1280': 707,
'1296x810': 708, '3199x1799': 709, '2562x1314': 710, '1624x750': 711, '1416x805': 712, '1920x1128': 713,
'2399x1598': 714, '3840x1599': 715, '1918x1078': 716, '2388x1668': 717, '2592x1728': 718, '2562x1441': 719,
'1792x768': 720, '3201x1799': 721, '1679x987': 722, '3841x2401': 723, '1794x1080': 724, '1279x720': 725,
'2960x1442': 726, '1501x844': 727, '1918x1347': 728, '2950x1440': 729, '1024x820': 730, '1366x769': 731,
'2401x1351': 732, '1600x868': 733, '1280x801': 734, '1264x945': 735, '1279x719': 736, '4800x2700': 737,
'1151x864': 738, '2880x1920': 739, '960x600': 740, '2696x1440': 741, '5960x1080': 742, '2241x1081': 743,
'7680x4320': 744, '2303x1439': 745, '1025x640': 746, '2399x1348': 747, '8640x1620': 748, '2048x1151': 749,
'1399x1050': 750, '1920x974': 751, '4225x2377': 752, '2680x1440': 753, '1223x691': 754, '2047x1279': 755,
'1279x768': 756, '1621x1081': 757, '1152x922': 758, '1260x787': 759, '1669x942': 760, '3123x1440': 761,
'2463x1642': 762, '1361x768': 763, '2048x1537': 764, '8960x5040': 765, '1500x840': 766, '2559x1080': 767,
'1408x1127': 768, '1416x758': 769, '2560x1418': 770, '1926x921': 771, '1268x862': 772, '3784x1584': 773,
'4500x3001': 774, '2398x1599': 775, '1344x720': 776, '2559x1599': 777, '2133x1080': 778, '1919x1280': 779,
'2340x1080': 780, '2999x1998': 781, '1151x719': 782, '2160x1920': 783, '2052x1368': 784, '4300x1800': 785,
'1501x843': 786, '2559x1079': 787, '1281x769': 788, '1408x1126': 789, '1680x1018': 790, '2162x1081': 791,
'455x256': 792, '2646x1440': 793, '2562x1440': 794, '2789x1442': 795, '2241x1080': 796, '3839x1599': 797,
'1280x767': 798, '2561x1312': 799, '2162x1082': 800, '2768x1440': 801, '3239x2160': 802, '2341x1080': 803,
'2928x1440': 804, '1767x991': 805, '2734x1824': 806, 'match_status:2': 807, 'match_status:1': 808,
'match_status:0': 809, 'match_status:-1': 810, 'desktop': 811, 'samsung sm-g892a build/nrd90m': 812,
'ios device': 813, 'macos': 814, 'sm-g930v build/nrd90m': 815, 'blade a602 build/mra58k': 816,
'xt1635-02 build/npn26.118-22-2': 817, 'z970': 818, 'sm-n920v build/nrd90m': 819,
'redmi note 4 build/mmb29m': 820, 'lenovo pb1-750m build/s100': 821, 'lt22i build/6.2.a.1.100': 822,
'rv:52.0': 823, 'sm-g950u build/nrd90m': 824, 'lg-h872 build/nrd90u': 825, 'lg-k500 build/mmb29m': 826,
'sm-p550 build/mmb29m': 827, 'sm-j700m build/mmb29k': 828, 'trident/7.0': 829, 'rv:57.0': 830,
'samsung sm-g930t build/nrd90m': 831, 'blade v6 plus build/mra58k': 832, 'bll-l23 build/huaweibll-l23': 833,
'kyocera-c6742a build/lmy47v': 834, 'f3113 build/33.2.a.4.70': 835, 'd5306 build/19.4.a.0.182': 836,
'm4 ss4457 build/mra58k': 837, 'sm-g955u build/nrd90m': 838, 'sm-g610m build/mmb29k': 839,
'samsung sm-g935f build/nrd90m': 840, 'xt1635-01': 841, 'rv:56.0': 842, 'vs500': 843,
'cam-l03 build/huaweicam-l03': 844, 'rct6303w87m7 build/mra58k': 845, 'm4 ss4451 build/lmy47d': 846,
'kffowi build/lvy48f': 847, 'moto e(4)build/nma26.42-19': 848, 'e2306 build/26.3.a.1.33': 850,
'ilium l910 build/mra58k': 851, 'gt-i9300': 852, 'lg-h420 build/lrx21y': 853, 'windows nt 6.2': 854,
'xt1032 build/lpbs23.13-56-2': 855, 'gt-i9060m build/ktu84p': 856, 'rv:38.0': 857,
'moto g(4)build/npjs25.93-14-10': 858, 'sm-g530t': 859, 'lgmp260 build/nrd90u': 860,
'sm-e500m build/ktu84p': 861, 'samsung sm-g950u build/nrd90m': 862, 'rv:11.0': 863,
'sm-g920i build/nrd90m': 864, 'samsung sm-j327t build/nrd90m': 865, 'sm-g900h build/mmb29k': 866,
'trt-l53 build/huaweitrt-l53': 867, 'moto g play build/mpis24.241-15.3-26': 868,
'nexus 6p build/opr5.170623.011': 869, 'sgp521': 870, 'vs988 build/nrd90u': 871, 'sm-g531h build/lmy48b': 872,
'moto c build/nrd90m.063': 873, 'lg-k410 build/lrx22g': 874, 'sm-g935f build/mmb29k': 875,
'moto c plus build/nrd90m.05.022': 876, 'lg-x180g build/lmy47i': 877, 'sm-g925p build/nrd90m': 878,
'es-us': 879, 'sm-g920v build/nrd90m': 880, 'sm-g935t build/nrd90m': 881, 'moto e(4)plus build/nma26.42-69': 882,
'sm-g925w8': 883, 'rv:48.0': 884, 'samsung-sm-g930a build/nrd90m': 885, 'htc one m9 build/nrd90m': 886,
'7055a build/kvt49l': 887, 'moto g play build/mpis24.241-15.3-7': 888, 'sm-t810 build/nrd90m': 889,
'rv:51.0': 890, 'sm-n910v build/mmb29m': 891, 'sm-g930t build/nrd90m': 892, 'lg-h870 build/nrd90u': 893,
'samsung sm-g950u1 build/nrd90m': 894, 'samsung sm-s727vl build/mmb29m': 895, 'sm-n920g build/nrd90m': 896,
'moto g(5)plus build/npn25.137-72': 897, 'moto g(5)build/npp25.137-72': 898, 'sm-g935f build/nrd90m': 899,
'lg-d373 build/kot49i.v10a': 900, 'ale-l23 build/huaweiale-l23': 901, 'z836bl': 902, 'ilium x710 build/mra58k': 903,
'lg-d680 build/kot49i': 904, 'm4 ss4450 build/mra58k': 905, 'lg-k580 build/mra58k': 906, 'sm-j700m build/lmy48b': 907,
'sm-a710m': 908, 'moto z2 play build/npss26.118-19-6': 909, 'moto g(4)build/npj25.93-14.5': 910,
'z981 build/mmb29m': 911, 'sm-t710 build/nrd90m': 912, 'sm-t700 build/mmb29k': 913,
'one touch 4033a build/jdq39': 914, 'f5121 build/34.3.a.0.228': 915, 'was-lx3 build/huaweiwas-lx3': 916,
'r8106': 917, 'motog3 build/mpis24.65-33.1-2-16': 918, 'sm-g925i build/mmb29k': 919,
'huawei vns-l53 build/huaweivns-l53': 920, 'blade v6 build/lrx22g': 921, 'sm-t113nu build/ktu84p': 922,
'samsung sm-g530h build/lrx22g': 923, 'sm-j510mn build/mmb29m': 924, 'sm-g950f build/nrd90m': 925,
'samsung sm-j700m build/mmb29k': 926, 'sm-g570m build/mmb29k': 927, 'samsung-sm-g891a build/nrd90m': 928,
'sm-j500m build/lmy48b': 929, 'sm-j727u build/nrd90m': 930, 'lgls676 build/mxb48t': 931, 'ta-1003': 932,
'sm-g900v build/mmb29m': 933, 'vk810': 934, 'kfaswi build/lvy48f': 935, 'sm-j320m build/lmy47v': 936,
'sm-j120h build/lmy47v': 937, 'sm-n950u build/nmf26x': 938, 'lg-d693n build/lrx22g': 939,
'huawei rio-l03 build/huaweirio-l03': 940, 'samsung sm-g930a build/nrd90m': 941, '5012g build/mra58k': 942,
'sm-p350 build/mmb29m': 943, 'sm-a300h build/lrx22g': 944, 'moto': 1166, 'sm-g925v build/nrd90m': 946,
'samsung sm-n910a build/mmb29m': 947, 'sm-g532m build/mmb29t': 948, '5080a build/mra58k': 949,
'xt1254 build/mcg24.251-5-5': 950, 'kfgiwi build/lvy48f': 951, 'lg-d331 build/lrx22g': 952,
'sm-g950u1 build/nrd90m': 953, 'pixel': 954, 'sm-g900t build/mmb29m': 955, 'e5606 build/30.2.a.1.21': 956,
'moto z2 play build/nps26.74-16-1': 957, 'z410': 958, 'lg-h500 build/lrx21y': 959,
'huawei tag-l13 build/huaweitag-l13': 960, 'p4526a build/nrd90m': 961, 'sm-g900f build/mmb29m': 962,
'moto g(4)build/npj25.93-14.7': 963, 'sm-a510m build/nrd90m': 964, 'xt1565': 965, 'blade v6 max build/mra58k': 966,
'f3213 build/36.1.a.1.86': 967, 'rex': 968, 'pixel build/opr3.170623.013': 969, 'xt1585 build/nck25.118-10.5': 970,
'motog3-te': 971, 'ilium lt510 build/mra58k': 972, 'samsung-sm-g870a build/mmb29m': 973, 'sm-a500m build/ktu84p': 974,
'htc': 975, 'samsung sm-g950f build/nrd90m': 976, 'lg-x240 build/mra58k': 977, 'kfauwi build/lvy48f': 978,
'lg-k428 build/mmb29m': 979, 'samsung sm-t580 build/nrd90m': 980, 'edison': 981, 'hisense f20 build/mmb29m': 982,
'sm-j327v build/nrd90m': 983, 'lgls775 build/nrd90u': 984, 'sm-a710m build/lmy47x': 985, 'lg-ls777 build/nrd90u': 986,
'lg-h320 build/lrx21y': 987, 'qtasun1 build/nrd90m': 988, 'sm-j730g build/nrd90m': 989, 'rv:58.0': 990,
'htc 10 build/nrd90m': 991, 'xt1063': 992, 'vs995 build/nrd90m': 993, 'sm-g550t build/mmb29k': 994,
'samsung sm-g930p build/nrd90m': 995, 'lg-k530 build/mmb29m': 996, 'samsung sm-j701m build/nrd90m': 997,
'samsung sm-t587p build/nrd90m': 998, 'sm-t530nu build/lrx22g': 999, 'sm-s920l': 1000, 'sm-g530h build/lrx22g': 1001,
'lg-v410': 1002, 'samsung sm-g891a build/nrd90m': 1003, 'gt-p5113': 1004, 'lg-h840 build/nrd90u': 1005,
'bac-l03 build/huaweibac-l03': 1006, 'samsung sm-t810 build/nrd90m': 1007, 'vs835': 1008,
'lg-tp450 build/nrd90u': 1009, 'sm-j727v build/nrd90m': 1010, 'sm-g955f build/nrd90m': 1011,
'kfdowi build/lvy48f': 1012, 'sm-j200m build/lmy47x': 1013, 'sm-j320h': 1014, 'blade v8 se build/nrd90m': 1015,
'sm-n920t build/nrd90m': 1016, 'lg-h542 build/mra58k': 1017, 'sm-t330nu build/lmy47x': 1018,
'samsung sm-j500m build/lmy48b': 1019, 'lg-m322': 1020, 'chc-u03 build/huaweichc-u03': 1021,
'htc desire 650 build/mmb29m': 1022, 'samsung-sm-g935a build/nrd90m': 1023, 'sm-g925i build/nrd90m': 1024,
'lg-k200 build/mxb48t': 1025, 'aquaris': 1026, 'sm-j710mn build/mmb29k': 1027, 'alcatel_4060a': 1028,
'lgms631 build/mra58k': 1029, 'mot-a6020l37 build/lmy47v': 1030, '5011a build/nrd90m': 1031,
'sm-t550 build/nmf26x': 1032, 'moto g(5)plus build/npns25.137-15-11': 1033, 'e6603 build/32.4.a.1.54': 1034,
'redmi 4a build/mmb29m': 1035, 'rv:55.0': 1036, 'sm-t520': 1037, 'htc desire 10 lifestyle build/mmb29m': 1038,
'sm-a720f build/mmb29k': 1039, 'moto g(5s': 1040, 'sm-g925i build/lmy47x': 1041, 'sm-g930r4 build/nrd90m': 1042,
'samsung sm-g610m build/mmb29k': 1043, 'lenovo k33b36 build/nrd90n': 1044, 'sm-g930u build/nrd90m': 1045,
'moto z2 play build/nps26.118-19': 1046, 'samsung sm-n950u build/nmf26x': 1047, 'sm-a320fl build/mmb29k': 1048,
'lg-m250 build/nrd90u': 1049, 'kfsawi': 1050, 'samsung sm-g930f build/nrd90m': 1051,
'lenovo k33b36 build/mmb29m': 1052, 'samsung sm-n920v build/nrd90m': 1053, 'windows nt 6.1': 1054, 'rv:45.0': 1055,
'samsung-sm-j327a build/nrd90m': 1056, 'sm-g935v build/nrd90m': 1057, 'mddrjs': 1058, 'sm-g935p build/nrd90m': 1059,
'sm-g930p build/nrd90m': 1060, 'sm-g928v build/nrd90m': 1061, 'lg-m210 build/nrd90u': 1062,
'blade v580 build/lmy47d': 1063, 'ilium lt500 build/lmy47o': 1064, 'y635-l03 build/huaweiy635-l03': 1065,
'xt1635-01 build/ndns26.118-23-12-3': 1066, 'rv:42.0': 1067, 'samsung sm-g925t build/nrd90m': 1068,
'samsung-sm-g900a build/lrx21t': 1069, 'moto z(2': 1070, 'sm-g360t1 build/lmy47x': 1071, 'sm-s903vl': 1072,
'samsung sm-g920a build/nrd90m': 1073, 'huawei vns-l23 build/huaweivns-l23': 1074, 'lg-h811 build/mra58k': 1075,
'm4 ss4456 build/lmy47v': 1076, 'samsung-sm-t337a build/lmy47x': 1077, 'samsung sm-g955u build/nrd90m': 1078,
'sm-g900p build/mmb29m': 1079, 'sm-g800f build/kot49h': 1080, 'bntv400': 1081, 'huawei vns-l21 build/huaweivns-l21': 1082,
'oneplus a5000 build/nmf26x': 1083, 'htc desire 626s build/lmy47o': 1084, 'xt1710-02 build/ndss26.118-23-15': 1085,
'rv:49.0': 1086, 'eva-l09 build/huaweieva-l09': 1087, 'lenovo': 1088, 'lg-k540 build/mmb29m': 1089,
'frd-l04 build/huaweifrd-l04': 1090, 'linux x86_64': 1091, 'samsung sm-g935t build/nrd90m': 1092,
'sm-g900m build/lrx21t': 1093, 'lg-h820 build/nrd90u': 1094, 'z983 build/nmf26f': 1095, 'lgls991': 1096,
'sm-s120vl': 1097, 'le': 1098, 'ilium l1120 build/nrd90m': 1099, 'xt1650 build/ncls26.118-23-13-3': 1100,
'sm-t377p build/nmf26x': 1101, 'qtaqz3 build/lmy47v': 1102, 'sm-a310m': 1103, 'f5321': 1104, 'kftbwi build/lvy48f': 1105,
'm4 ss4453 build/mmb29m': 1106, 'xt1064 build/mpb24.65-34-3': 1107, 'vs987 build/nrd90u': 1108, 'sm-g386t': 1109,
'samsung-sm-n920a build/nrd90m': 1110, 'samsung sm-j727t1 build/nrd90m': 1111, 'samsung sm-g532m build/mmb29t': 1112,
'sm-g925t build/nrd90m': 1113, 'nethelper70': 1114, 'samsung sm-g890a build/nrd90m': 1115, 'd5803 build/23.5.a.1.291': 1116,
'gt-i8190l build/jzo54k': 1117, 'sm-a510m build/lmy47x': 1118, 'nexus': 1119, 'sm-t580 build/nrd90m': 1120, 'sm-g900v': 1121,
'zeia8': 1122, 'sm-n920p build/nrd90m': 1123, 'sm-t550': 1124, 'samsung sm-j320f build/lmy47v': 1125,
'vs501 build/nrd90u': 1126, 'linux i686': 1127, 'sm-g900p build/lrx21t': 1128, 'sm-n910h': 1129, 'sm-g920f build/nrd90m': 1130,
'sm-t560 build/ktu84p': 1131, 'motoe2(4g-lte': 1132, 'lg-h542 build/lrx22g': 1133, 'touch': 1134,
'moto g(5)build/npp25.137-82': 1135, 'lg-x230 build/mra58k': 1136, 'lg-k371': 1137, 'f3113 build/33.3.a.1.97': 1138,
'sm-t560nu build/mmb29m': 1139, 'samsung sm-a520f build/nrd90m': 1140, 'sm-p600 build/lmy47x': 1141,
'htc u11 build/nmf26x': 1142, 'kfapwi build/ktu84m': 1143, 'g3313': 1144, 'ax920': 1145, 'sm-j327vpp build/nrd90m': 1146,
'lg-m320 build/nrd90u': 1147, 'sm-g610f': 1148, 'rv:54.0': 1149, 'qmv7a': 1150, 'sm-t817v build/nrd90m': 1151,
'htc desire 530 build/mmb29m': 1152, 'lg-ls998': 1153, 'rv:41.0': 1154, 'gt-p5210 build/jdq39': 1155,
'sm-j730f': 1156, 'kfjwi': 1157, 'moto g(5)plus build/npn25.137-83': 1158, 'htc desire 510 build/kot49h': 1159,
'lg-h810': 1160, 'sm-g920p build/nrd90m': 1161, 'd6603 build/23.5.a.1.291': 1162, 'xt1650': 1163,
'sm-g930f build/nrd90m': 1164, 'lgms550 build/nrd90u': 1165, 'sm-a520f build/nrd90m': 1167,
'sm-g920t build/nrd90m': 1168, 'fractal': 1169, 'moto e(4)build/nma26.42-69': 1170, 'huawei': 1171,
'sm-t350 build/nmf26x': 1172, 'samsung sm-j730gm build/nrd90m': 1173, 'ta-1039 build/n2g47h': 1174,
'xt1003': 1175, 'motog3 build/mpis24.65-25.1-19': 1176, 'bv6000': 1177, 'sm-t230 build/kot49h': 1178,
'samsung sm-g920p build/nrd90m': 1179, 'htc one a9 build/nrd90m': 1180, 'nx785qc8g': 1181, 'rv:47.0': 1182,
'e5506 build/29.1.a.0.101': 1183, 'lgl33l/v100': 1184, 'sm-g920v build/mmb29k': 1185, 'sm-j510fn': 1186,
'lgms330 build/lmy47v': 1187, 'microsoft': 1188, 'sm-t560nu build/nmf26x': 1189,
'samsung sm-g955f build/nrd90m': 1190, 'xt1053 build/lpas23.12-21.7-1': 1191, '5025g build/lmy47i': 1192,
'lg-h918 build/nrd90m': 1193, 'sm-g900w8': 1194, 'sm-j320v build/nmf26x': 1195, 'sm-j105b build/lmy47v': 1196,
'samsung sm-g550t1 build/mmb29k': 1197, '5010s build/mra58k': 1198, 'lg-h910 build/nrd90m': 1199,
'motoe2 build/lpcs23.13-56-5': 1200, 'lgms210 build/nrd90u': 1201, 'lg-m700 build/nmf26x': 1202,
'sm-g930v build/mmb29m': 1203, 'sm-a510m build/mmb29k': 1204, '5054n': 1205, 'samsung sm-g900a build/mmb29m': 1206,
'sm-g935v': 1207, 'samsung-sm-t677a': 1208, 'sm-j500fn': 1209, 'lgmp450 build/nrd90u': 1210,
'pixel 2 build/opm1.171019.011': 1211, 'sm-j701m build/nrd90m': 1212, 'z798bl build/mmb29m': 1213,
'huawei cun-l03 build/huaweicun-l03': 1214, 'lenovo-a6020l36 build/lmy47v': 1215, 'vs820': 1216,
'kfthwi build/ktu84m': 1217, 'lg-k530 build/nrd90u': 1218, 'sm-t827v build/nrd90m': 1219,
'samsung sm-g935f build/mmb29k': 1220, 'lg-h650 build/mra58k': 1221, 'samsung-sgh-i337 build/kot49h': 1222,
'lg-k220 build/mxb48t': 1223, 'lg-h810/h81021z': 1224, 'ale-l21 build/huaweiale-l21': 1225,
'redmi 4x build/n2g47h': 1226, 'samsung sm-g935a build/nrd90m': 1227, 'sm-t713 build/nrd90m': 1228,
'5051a build/mmb29m': 1229, 'lg-p714': 1230, 'samsung sm-g531h build/lmy48b': 1231, 'sm-g928g build/nrd90m': 1232,
'x10': 1233, 'gt-p5210 build/kot49h': 1234, 'gt-i9500': 1235, 'huawei y625-u13 build/huaweiy625-u13': 1236,
'hisense l675 build/mra58k': 1237, 'p5526a build/nrd90m': 1238, 'sm-t818v': 1239, 'es-mx': 1240,
'ta-1039 build/nmf26f': 1241, 'sm-a310m build/lmy47x': 1242, 'lg-d851': 1243, 'sm-j320v build/mmb29m': 1244,
'lg-h990 build/nrd90m': 1245, 'lg-v495/v49520l': 1246, 'sm-t350 build/mmb29m': 1247,
'pra-lx3 build/huaweipra-lx3': 1248, 'xt1080 build/su6-7.7': 1249, 'huawei y520-u03 build/huaweiy520-u03': 1250,
'lenovo a2016b30 build/mra58k': 1251, 'mya-l23': 1252, 'k88 build/mmb29m': 1253,
'motog3 build/mpis24.107-55-2-17': 1254, 'lgls770': 1255, 'lg-m153 build/mxb48t': 1256,
'qtair7 build/lmy47d': 1257, '2pq93': 1258, 'sm-j111m build/lmy47v': 1259, 'sm-s320vl': 1260,
'lg-h901': 1261, 'ilium': 1831, 'sm-t377v build/nmf26x': 1263, 'one a2005 build/mmb29m': 1264,
'sm-n910t build/mmb29m': 1265, 'android 5.1': 1266, 'xt1058 build/lpas23.12-21.7-1': 1267,
'pixel build/opm1.171019.011': 1268, 'pixel xl build/opm1.171019.011': 1269, 'lg-tp260 build/nrd90u': 1270,
'sm-n900v build/lrx21v': 1271, 'moto x play build/npd26.48-24-1': 1272, 'sky_5.0lm': 1273,
'sm-a320y build/nrd90m': 1274, 'sm-t230nu build/kot49h': 1275, 'kftt build/iml74k': 1276,
'2ps64 build/nrd90m': 1277, 'samsung-sm-g930a': 1278, 'stv100-2 build/mmb29m': 1279,
'g3123 build/40.0.a.6.135': 1280, 'samsung sm-a300h build/lrx22g': 1281, 'z971': 1282,
'sm-g935w8': 1283, 'sm-p580 build/nrd90m': 1284, 'samsung-sm-j320a build/mmb29k': 1285,
'samsung-sm-j727a build/nrd90m': 1286, 'verykools5030': 1287, 'sm-j320p build/lmy47x': 1288,
'lgls751': 1289, 'f8331 build/41.2.a.7.76': 1290, 'sm-a520f build/mmb29k': 1291, 'blade l5 build/lmy47i': 1292,
'tommy2': 1293, 'rv:50.0': 1294, 'sla-l03 build/huaweisla-l03': 1295, 'moto e(4)build/nma26.42-11-3': 1296,
'sm-t280 build/lmy47v': 1297, 'f8331': 1298, 'z837vl': 1299, 'sm-a510f build/nrd90m': 1300, 'xt1580': 1301,
'sm-t820 build/nrd90m': 1302, 'sm-g550t1 build/mmb29k': 1303, 'lg-h871': 1304, 'lg-ls993 build/nrd90u': 1305,
'sm-t377w': 1306, 'samsung sm-j700m build/lmy48b': 1307, 'sm-g900f build/lrx21t': 1308,
'samsung-sm-g900a build/mmb29m': 1309, 'xt1032 build/kxb21.14-l1.40': 1310, 'xt1563 build/mpds24.107-52-5': 1311,
'blade': 3252, 'verykools5019': 1313, 'sm-g360v build/lmy48b': 1314, 'lg-x210 build/lmy47i': 1315,
'hi6210sft build/mra58k': 1316, 'samsung sm-t530nu build/lrx22g': 1317, 'c6743 build/lmy47v': 1318,
'bln-l24 build/honorbln-l24': 1319, 'sm-g935t': 1320, 'redmi note 3 build/mmb29m': 1321,
'samsung-sm-g900a build/lmy47x': 1322, 'e6810 build/5.320vz.03.r': 1323, 'e6553': 1324,
'pixel 2 xl build/opm1.171019.011': 1325, 'z835 build/nmf26v': 1326, 'lg-d725': 1327,
'xt1008 build/lpbs23.13-56-2': 1328, 'xt1040': 1329, 'en-us': 1330, 'sm-t807v': 1331, 'vs996': 1332, 'e6853': 1333,
'lg-k550 build/nrd90u': 1334, 'xt1030 build/su6-7.7': 1335, 'lg-m154': 1336, 'sm-j700t build/nmf26x': 1337,
'sm-g920f build/mmb29k': 1338, '8050g build/lmy47i': 1339, 'sm-a500fu build/mmb29m': 1340, 'sm-t337v': 1341,
'samsung-sm-t377a build/mmb29k': 1342, 'helio': 1343, 'blade v7 build/mra58k': 1344,
'motog3 build/mpi24.65-33.1-2': 1345, 'sm-n950f build/nmf26x': 1346, 'lgms550 build/mxb48t': 1347, 'xt1031': 1348,
'samsung sm-t710 build/nrd90m': 1349, 'lenovo tb-7703x build/s100': 1350, 'moto g(5)build/npps25.137-15-11': 1351,
'lt30p': 1352, 'moto g(4)build/npj25.93-14': 1353, 'mha-l09 build/huaweimha-l09': 1354,
'huawei vns-l31 build/huaweivns-l31': 1355, 'hisense l675 pro build/nrd90m': 1356,
'samsung-sm-g925a build/nrd90m': 1357, 'mi a1 build/n2g47h': 1358, 'sm-n900t': 1359, 'vs425pp build/lmy47v': 1360,
'sm-j727t build/nrd90m': 1361, 'lg-x220 build/lmy47i': 1362, 'att-ie11': 1363, 'samsung sm-g900f build/mmb29m': 1364,
'blade v8 build/nrd90m': 1365, 'sm-j700t1 build/nmf26x': 1366, 'sm-g930r7': 1367, 'lgus215 build/nrd90u': 1368,
'sm-t237p': 1369, 'ta-1038': 1370, 'sm-g930w8 build/nrd90m': 1371, 'sm-g950w': 1372, 'sm-j100vpp build/lmy48b': 1373,
'lgls990': 1374, 'sm-a500h': 1375, 'f3313 build/37.0.a.2.108': 1376, 'sm-g900i': 1377, 'sm-t813 build/nrd90m': 1378,
'rv:31.0': 1379, 'sm-j730gm build/nrd90m': 1380, 'h1711 build/huaweih1711': 1381, 'build/opr6.170623.013': 1382,
'lg-v930': 1383, 'lg-k240 build/mxb48t': 1384, 'z982 build/nmf26v': 1385, 'samsung sm-j700t build/nmf26x': 1386,
'rv:44.0': 1387, 'xt1055': 1388, 'moto e(4)build/ncq26.69-56': 1389, 'moto e(4)build/ndqs26.69-23-2-3': 1390,
'xt1575': 1391, 'sm-j327p build/mmb29m': 1392, 'sm-t377v': 1393, 'huawei g7-l03 build/huaweig7-l03': 1394,
'lg-d693n build/kot49i.v10a': 1395, 'sm-p900': 1396, 'sm-j500m build/mmb29m': 1397,
'samsung sm-n920t build/nrd90m': 1398, 'blade a510 build/mra58k': 1399, 'lgl62vl': 1400, 'bbb100-3': 1401,
'sm-n910c build/mmb29k': 1402, 'lg-ls997 build/nrd90m': 1403, 'sm-n950w': 1404, '4027a build/kot49h': 1405,
'rv:53.0': 1406, 'e2306 build/26.1.a.3.111': 1407, 'zte': 1408, 'lg-m150': 1409, 'htc one build/lrx22g': 1410,
'samsung sm-g925p build/nrd90m': 1411, 'samsung sm-g570m build/mmb29k': 1412, 'lg-h830 build/nrd90u': 1413,
'samsung sm-n920p build/nrd90m': 1414, 'samsung-sm-g890a build/mmb29k': 1415, 'samsung sm-g920t build/nrd90m': 1416,
'samsung sm-n920a build/nrd90m': 1417, 'rv:46.0': 1418, 'sm-t800 build/mmb29k': 1419, 'hp2015': 1420,
'moto g(5)build/npp25.137-38': 1421,'samsung sm-g903f build/mmb29k': 1422, 'sm-j100mu': 1423, 'e6833': 1424,
'sm-g920w8': 1425, '5010g build/mra58k': 1426, 'a3_mini': 1427, 'xt1528': 1428, 'rv:39.0': 1429, 'sm-n900w8 build/lrx21v': 1430, 'sm-g920t1': 1431, 'hp': 1432, 'sm-s820l': 1433, 'xt1032 build/lpbs23.13-57-2': 1434, 'sm-g920v': 1435, 'samsung sm-g850f/g850fxxs2cqd9 build/lrx22g': 1436, 'lg-h850': 1437, 'redmi': 1438, 'd6708': 1439, 'lg-h900/h90022b': 1440, 'samsung-sm-g920a build/nrd90m': 1441, 'huawei can-l01 build/huaweican-l01': 1442, 'samsung sm-g935p build/nrd90m': 1443, 'wow64': 1444, 'samsung sm-j327t1 build/nrd90m': 1445, 'xt1563 build/mpd24.107-52': 1446, 'cro-l03 build/huaweicro-l03': 1447, 'hisense f23 build/nrd90m': 1448, 'moto c plus build/nrd90m.05.034': 1449, 'redmi note 4 build/nrd90m': 1450, 'lg-k373': 1451, 'sm-g530p': 1452, 'sm-j320fn build/lmy47v': 1453, 'moto x4 build/npw26.83-18-2-0-4': 1454, 'f5121 build/34.3.a.0.238': 1455, 'ilium x210 build/lmy47i': 1456, 'htc6545lvw': 1457, 'sm-s902l': 1458, 'c2104': 1459, 'samsung-sm-t537a': 1460, 'vs990 build/mra58k': 1461, 'sm-n920v': 1462, '5056a build/mmb29m': 1463, 'lenovo a6020l37 build/lmy47v': 1464, 'samsung-sm-g928a build/nrd90m': 1465, 'ph-1': 1466, 'g3423': 1467, 'e5803 build/32.4.a.1.54': 1468, 'hisense u963 build/mra58k': 1469, 'moto x4 build/npw26.83-42': 1470, 'f3113 build/33.2.a.3.81': 1471, 'htc one_m8 build/mra58k': 1472, 'samsung sm-g530t build/lmy47x': 1473, 'sm-g530h build/ktu84p': 1474, 'sm-p355m build/mmb29m': 1475, 'one touch 4016a build/jdq39': 1476, 'ilium x510 build/mra58k': 1477, 'blade a520 build/nrd90m': 1478, 'vs986 build/mra58k': 1479, 'xt1609 build/mpis24.241-2.35-1-17': 1480, 'samsung-sm-g890a': 1481, 'lg-d855 build/lrx21r': 1482, 'lg-h631': 1483, 'fp2': 1484, 'gt-n5110': 1485, 'm3': 1486, 'g3313 build/43.0.a.5.79': 1487, 'sm-g955u1 build/nrd90m': 1488, 'sm-j530gm build/nrd90m': 1489, 'xt1563': 1490, 'kfsuwi build/lvy48f': 1491, 'r1': 1492, 'blade l2 plus build/kot49h': 1493, 'samsung sm-g925f build/nrd90m': 1494, 'xt1635-02': 1495, 'lg-v521': 1496, 'ta-1038 build/nmf26o': 1497, 'sch-i435': 1498, 'sm-g928t build/nrd90m': 1499, 'p027': 1500, '5054s build/lmy47v': 1501, 'motog3-te build/mpds24.65-33-1-30': 1502, 'xt1064': 1503, 'sm-j327t1 build/nrd90m': 1504, 'p00c': 1505, 'samsung sm-g920f build/nrd90m': 1506, 'lg-h840 build/mmb29m': 1507, 'lenovo tb-x103f build/lenovotb-x103f': 1508, 'revvlplus': 1509, 'lg-m430 build/nrd90u': 1510, 'xt1060': 1511, 'huawei nxt-l09 build/huaweinxt-l09': 1512, 'lenovoa3300-gv build/jdq39': 1513, 'rv:35.0': 1514, 'kfmewi': 1515, 'le x520 build/iexcnfn5902303111s': 1516, 'nexus 6p build/opr5.170623.014': 1517, 'lg-m327 build/nrd90u': 1518, 'samsung-sm-g890a build/nrd90m': 1519, 'pspc550 build/lmy47d': 1520, 'sm-g930vl build/nrd90m': 1521, 'stv100-3': 1522, 'samsung sm-n950u1 build/nmf26x': 1523, 'sm-a320y': 1524, 'samsung sm-a720f build/nrd90m': 1525, 'sm-g355m build/kot49h': 1526, 'me173x': 1527, 'gt-s7580l build/jdq39': 1528, 'alcatel': 2442, 'nxa116qc164': 1530, 'zte blade l5 build/lmy47i': 1531, 'sm-g360v': 1532, 'sm-g925f build/nrd90m': 1533, 'ax820 build/mra58k': 1534, 'sm-g360m': 1535, 'v.40r': 1536, 'blu': 1537, 'malc': 1538, 'sm-g928v build/mmb29k': 1539, 'asus_z00ed': 1540, 'sh-04f': 1541, 'trekker-x3 build/mmb29m': 1542, 'blade l7 build/mra58k': 1543, 'nexus 5 build/m4b30z': 1544, 'venue': 1545, 'samsung sm-j327a build/nrd90m': 1546, 'sm-t310 build/kot49h': 1547, 'sm-a310f build/mmb29k': 1548, 'moto g(4)build/npjs25.93-14-8': 1549, 'moto e(4)plus build/nma26.42-11-3': 1550, 'vs880pp': 1551, 's.n.o.w.4': 1552, 'sm-j727t1 build/nrd90m': 1553, 'samsung-sm-n900a': 1554, 'samsung sm-g900t build/mmb29m': 1555, 'sgh-i337m build/lrx22c': 1556, 'sm-n900t build/lrx21v': 1557, 'mami': 1558, 'm4': 1559, 'sm-n9005 build/lrx21v': 1560, 'trekker-m1': 1561, 'sch-i535': 1562, 'lg-v496': 1563, 'nokia': 2779, 'sgh-i317m': 1565, 'turbo c5 build/lmy47i': 1566, 'e5506 build/29.2.a.0.166': 1567, 'lg-h540': 1568, 'lg-d855': 1569, 'z963vl': 1570, 'samsung sm-j327p build/mmb29m': 1571, 'vfd': 1572, 'sm-s906l': 1573, 'huawei y560-l03 build/huaweiy560-l03': 1574, 'pra-lx1 build/huaweipra-lx1': 1575, 'lg-h443/h44312g': 1576, 'lenovo tb2-x30f build/lenovotb2-x30f': 1577, '2pyb2': 1578, 'htc one a9s build/mra58k': 1579, 'lg-k450 build/mxb48t': 1580, 'sm-n950u1 build/nmf26x': 1581, 'zte-z835': 1582, 'xt1033': 1583, 'sm-g900r4': 1584, 'lg-k430 build/mra58k': 1585, 'g8141 build/47.1.a.5.51': 1586, 'z956 build/mmb29m': 1587, 'vs880': 1588, '5049w build/nrd90m': 1589, 'bla-l29 build/huaweibla-l29': 1590, '5057m': 1591, 'k88': 1592, 'blade a460 build/lmy47o': 1593, 'blu life xl build/l050u': 1594, 'coolpad': 1595, 'vivo': 2391, 'sm-g930t1': 1597, '2pzc5': 1598, 'sm-t113 build/ktu84p': 1599, 'att': 1600, 'studio': 2940, 'z959 build/lmy47v': 1602, 'zte blade a321 build/nmf26f': 1603, 'htc6535lvw': 1604, 'motog3 build/mpi24.65-25': 1605, 'lg-x165g build/lrx21m': 1606, 'sm-j327t build/nrd90m': 1607, 'slay': 1608, 'orbis': 1609, 'samsung sm-g925i build/nrd90m': 1610, 's57 build/ktu84p': 1611, 'samsung sm-a510m build/nrd90m': 1612, 'sm-a500m build/lrx22g': 1613, 'samsung sm-j111m build/lmy47v': 1614, 'sch-i545 build/lrx22c': 1615, 'lg-h345': 1616, 'sm-s907vl': 1617, 'samsung-sm-g870a': 1618, 'sm-j727vpp build/nrd90m': 1619, 'lgl58vl': 1620, 'samsung sm-p580 build/nrd90m': 1621, '9003a build/mra58k': 1622, 'moto g(5)plus build/npn25.137-82': 1623, 'lg-m400 build/nrd90u': 1624, 'xt1058': 1625, 'htc6525lvw': 1626, 'frd-l14 build/huaweifrd-l14': 1627, 'xt1096': 1628, 'qwestie8': 1629, 'samsung-sm-t817a': 1630, 'asus': 1631, 'lg-d331': 1632, 'lg-m255': 1633, 'sm-g928f': 1634, 'verykools5525': 1635, 'kfsowi': 1636, 'sm-n920r4': 1637, 'sm-p550 build/nmf26x': 1638, 'sm-s550tl': 1639, 'a621r': 1640, 'samsung sm-n950f build/nmf26x': 1641, 'lg-h810/h81022f': 1642, 'f5121 build/34.3.a.0.252': 1643, 'sgh-m919n': 1644, 'h1611': 1645, 'xt1063 build/mpb24.65-34-3': 1646, 'lgl52vl build/lmy47v': 1647, 'sm-n920a build/mmb29k': 1648, 'g3223 build/42.0.a.4.101': 1649, 'lg-lk460': 1650, 'xt1094': 1651, 'p5026a': 1652, 'samsung-sm-g530az build/lmy48b': 1653, 'lgls665 build/lmy47v': 1654, 'samsung sm-n900t build/lrx21v': 1655, 'sm-g610m build/nrd90m': 1656, 'z833': 1657, 'lg-d850': 1658, 'd6503': 1659, 'sm-a720f build/nrd90m': 1660, 'samsung sm-j530gm build/nrd90m': 1661, 'moto c build/nrd90m.046': 1662, 'zte a2017u build/nrd90m': 1663, 'gt-n7100': 1664, 'samsung sm-j710mn build/mmb29k': 1665, 'xt1063 build/mpb24.65-34': 1666, 'sm-p605v': 1667, 'rv:37.0': 1668, 'samsung sm-g928g build/nrd90m': 1669, 'lenovo tab 2 a7-30gc build/kot49h': 1670, 'lg-k428 build/nrd90u': 1671, 'blu studio c 5+5 build/lrx21m': 1672, 'f3113': 1673, 'sm-s975l': 1674, 'xt1097': 1675, 'motog3-te build/mpds24.65-33-1-3': 1676, '0pm92': 1677, 'd2306': 1678, 'mya-l13 build/huaweimya-l13': 1679, 'lg-h700 build/nrd90u': 1680, 'a50c+': 1681, 'samsung sm-g900m build/lrx21t': 1682, '5095i build/mra58k': 1683, 'lg-v495': 1684, 'f3213 build/36.0.a.2.146': 1685, 'a1601 build/lmy47i': 1686, 'lgus991': 1687, 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'c5': 3426, 'lgms210': 3427, 'rocket': 3428, 'sm-j720f': 3429, 'sm-g930r4': 3430, 'sch-i545': 3431, 'samsung sm-j610g build/m1ajq': 3432, 'lg-m710': 3433, 'sm-n960u1': 3434, 'sgp311': 3435, 'vk410': 3436, 'hi6250': 3437, 'vs986': 3438, 'sm-j327p': 3439, 'nexus 6p': 3441, 'kfthwi': 3442, 'sm-j337v': 3443, 'htc one m9plus': 3444, 'kftbwi': 3445, 'sm-j737t': 3446, 'sm-t337t': 3447, 'sm-n960w': 3448, 'im6': 3449, 'sm-j737v': 3450, 'kfkawi': 3451, 'huawei y560-l03': 3452, 'sm-j415g': 3453, 'asus_a006': 3454, 'vie-l29': 3455, 'sm-g610m build/m1ajq': 3456, 'moto e5 play build/opgs28.54-19-2': 3457, 'lg-d690': 3458, 'moto e5 play build/ocps27.91-51-3-3': 3459, 'lg-d631': 3460, 'redmi note 6 pro': 3461, 'kyocera-c6742': 3462, 'gt-i9060l': 3463, 'moto z3': 3464, 'vs501': 3465, 'g3311': 3466, 'htl23': 3467, 'q01a': 3468, 'samsung sm-t820 build/r16nw': 3469, 'sm-g930vl': 3470, 'sm-a750g': 3471, '6062w': 3472, 'redmi 4a': 3473, 'p10': 3474, 'infinit_lite_2': 3475, 'sm-t827v': 3476, 'sm-j737p': 3477, 'moto e(4)build/nma26.42-167': 3478, 'a622gl': 3479, 'sm-j327vpp': 3480, 'sm-a600t1': 3481, 'e2306': 3482, 'lm-q710.fgn': 3483, 'jkm-lx3': 3484, 'sm-a700k': 3485, 'slate': 3486, 'sm-j327t': 3487, 'moto g(5)build/opps28.85-13-2': 3488, 'hma-l09': 3489, 'ale-l02': 3490, 'rv:65.0': 3491, 'rct6513w87': 3492, 'cph1835': 3493, '5085b': 3494, 'lgl164vl': 3495, 'asus_x00pd': 3496, 'rct6303w87m7': 3497, 'ghia_axis7p': 3498, 'samsung-sm-t337a': 3499, 'mha-l29': 3500, 'sm-g532g': 3501, 'samsung-sm-g530az': 3502, 'mb520': 3503, 'lg-h990': 3504, 'lg-m327': 3505, 'lifesize': 3506, 'pspc550': 3507, '8080': 3508, 'oneplus a6013': 3509, '7048a': 3510, 'sm-n950u1': 3511, 'tab8': 3512, 'sm-n9200': 3513, 'c2105': 3514, 'sm-j320v': 3515, 'kftt': 3516, 'samsung sm-g610m build/m1ajq': 3517, 'verykools5702': 3518, 'sm-j105b': 3519, 'max10': 3520, 'sm-g600s': 3521, 'cpu': 3522, 'lm-v405': 3523, '4027a': 3524, 'sm-g360p': 3525, 'n9560': 3526, 'z956': 3527, 'c6902': 3528, 'z818l': 3529, 'sm-p350': 3530, 'a462c': 3531, 'sm-j600gt': 3532, 'sm-t837v': 3533, 'e6910': 3534, 'z851m': 3535, 'sm-a920f': 3536, 'asus_a002a': 3537, 'pic-lx9': 3538, 'bla-al00': 3539, 'neffos_c9a': 3540, 'lenovo tb-7104f build/o11019': 3541, 'sgp621': 3542, 'sm-g903f': 3543, '5086a': 3544, 'sm-t387v': 3545, 'sm-g611f': 3546, 'lg-d325': 3547, 'sm-t597v': 3548, 'neffos_c7': 3549, 'sm-g925p': 3550, 'lg-m210': 3551, 'zte-z999': 3552, 'p002': 3553, 'lm-x410pm': 3554, 'che2-l23': 3555, 'q05a': 3556, 'azumi_doshi_a55_ql': 3557, 'lg-k430': 3558, 'hk-914581': 3559, 'sm-t817v': 3560, 'verykools5036': 3561, 'rct6b03w13': 3562, 'sm-j810y': 3563, 'z899vl': 3564, 'sm-s367vl': 3565, 'sm-p905v': 3566, 'infinity': 3567, 'sm-g935r4': 3568, '6043a': 3569, 'atu-l21': 3570, 'd2303': 3571, 'lgl157bl': 3572, 'phone': 3573, 'lg-q710al': 3574, 'n5702l': 3575, 'so-02h': 3576, 'verykools5027': 3577, 'bah-l09': 3578, 'sm-j120fn': 3579, 'asus_x008dc': 3580, 'ags-l09': 3581, 'techpad_10y': 3582, 'dig-l03': 3583, 'sm-j530l': 3584, 'asus_z017dc': 3585, 'motoe2': 3586, 'f3116': 3587, 'lava_r1': 3588, 'sm-j260m': 3589, '8082': 3590, 'lg-k540': 3591, 'zebra': 3592, 'armor': 3593, 'sm-t320': 3594, 'lm-q850': 3595, 'pspcl20a0': 3596, 'aura': 3597, 'azumi_iro_a5_q': 3598, 'kyocera-c6742a': 3599, 'alcatel_5098o': 3600, 'centurylink': 3601, 'spectrum': 3602, 'us': 3603, 'mx': 3604, 'yahoo': 3605, 'de': 3606, 'jp': 3607, 'uk': 3608, 'fr': 3609, 'com': 3610, 'es': 3611, 'apple': 3612}
early_stopping = EarlyStopping(monitor='my_iou_metric', mode = 'max',patience=10, verbose=1)
 model_checkpoint = ModelCheckpoint(save_model_name,monitor='my_iou_metric',
mode = 'max', save_best_only=True, verbose=1)
 reduce_lr = ReduceLROnPlateau(monitor='my_iou_metric', mode = 'max',factor=0.5, patience=5, min_lr=0.0001, verbose=1)
 epochs = 100
batch_size = 32
history = model1.fit(x_train, y_train,
validation_data=[x_valid, y_valid],
epochs=epochs,
batch_size=batch_size,
callbacks=[early_stopping, model_checkpoint,reduce_lr],
verbose=2 )<choose_model_class>
for c1, c2 in train_transaction.dtypes.reset_index().values:
if c2=='O':
train_transaction[c1] = train_transaction[c1].map(lambda x: labels[str(x ).lower() ])
 test_transaction[c1] = test_transaction[c1].map(lambda x: labels[str(x ).lower() ])
 train_transaction.fillna(-999, inplace=True)
 test_transaction.fillna(-999, inplace=True)
 for c1, c2 in train_identity.dtypes.reset_index().values:
if c2=='O':
train_identity[c1] = train_identity[c1].map(lambda x: labels[str(x ).lower() ])
 test_identity[c1] = test_identity[c1].map(lambda x: labels[str(x ).lower() ])
 train_identity.fillna(-999, inplace=True)
 test_identity.fillna(-999, inplace=True )
model1 = load_model(save_model_name,custom_objects={'my_iou_metric': my_iou_metric})
 input_x = model1.layers[0].input
output_layer = model1.layers[-1].input
model = Model(input_x, output_layer)
 c = optimizers.adam(lr = 0.01)
 model.compile(loss=lovasz_loss, optimizer=c, metrics=[my_iou_metric_2])
<train_model>
train = train_transaction.merge(train_identity, how='left', left_index=True, right_index=True)
 test = test_transaction.merge(test_identity, how='left', left_index=True, right_index=True )
early_stopping = EarlyStopping(monitor='val_my_iou_metric_2', mode = 'max',patience=20, verbose=1)
 model_checkpoint = ModelCheckpoint(save_model_name,monitor='val_my_iou_metric_2',
mode = 'max', save_best_only=True, verbose=1)
 reduce_lr = ReduceLROnPlateau(monitor='val_my_iou_metric_2', mode = 'max',factor=0.5, patience=5, min_lr=0.0001, verbose=1)
 epochs = 200
batch_size = 32
history = model.fit(x_train, y_train,
validation_data=[x_valid, y_valid],
epochs=epochs,
batch_size=batch_size,
callbacks=[ model_checkpoint,reduce_lr,early_stopping],
verbose=2 )<load_pretrained>
del train_identity, train_transaction, test_identity, test_transaction
gc.collect()
model = load_model(save_model_name,custom_objects={'my_iou_metric_2': my_iou_metric_2,
'lovasz_loss': lovasz_loss})
<predict_on_test>
def predict_result(model,x_test,img_size_target):
x_test_reflect = np.array([np.fliplr(x)for x in x_test])
 preds_test = model.predict(x_test ).reshape(-1, img_size_target, img_size_target)
 preds_test2_refect = model.predict(x_test_reflect ).reshape(-1, img_size_target, img_size_target)
 preds_test += np.array([ np.fliplr(x)for x in preds_test2_refect])
 return preds_test/2<predict_on_test>
preds_valid = predict_result(model,x_valid,img_size_target )<compute_train_metric>
drop_col = ['TransactionDT', 'V300', 'V309', 'V111', 'C3', 'V124', 'V106', 'V125',
'V315', 'V134', 'V102', 'V123', 'V316', 'V113', 'V136', 'V305', 'V110',
'V299', 'V289', 'V286', 'V318', 'V103', 'V304', 'V116', 'V298', 'V284',
'V293', 'V137', 'V295', 'V301', 'V104', 'V311', 'V115', 'V109', 'V119',
'V321', 'V114', 'V133', 'V122', 'V319', 'V105', 'V112', 'V118', 'V117',
'V121', 'V108', 'V135', 'V320', 'V303', 'V297', 'V120']
train.drop(drop_col,axis=1, inplace=True)
 test.drop(drop_col, axis=1, inplace=True )
thresholds_ori = np.linspace(0.3, 0.7, 31)
 thresholds = np.log(thresholds_ori/(1-thresholds_ori))
ious = np.array([iou_metric_batch(y_valid, preds_valid > threshold)for threshold in tqdm_notebook(thresholds)])
 print(ious )<categorify>
def rle_encode(im):

 pixels = im.flatten(order = 'F')
 pixels = np.concatenate([[0], pixels, [0]])
 runs = np.where(pixels[1:] != pixels[:-1])[0] + 1
runs[1::2] -= runs[::2]
return ' '.join(str(x)for x in runs )<predict_on_test>
train.fillna(-999, inplace=True)
 test.fillna(-999, inplace=True )
preds_test = predict_result(model,x_test,img_size_target )<save_to_csv>
train = train.reset_index()
test = test.reset_index()
sub = pd.DataFrame.from_dict(pred_dict,orient='index')
 sub.index.names = ['id']
sub.columns = ['rle_mask']
sub.to_csv(submission_file )<train_model>
data = simple.Data(train, test, 'TransactionID', 'isFraud')
 params = {'learning_rate': 0.009, 'max_depth': 10, 'boosting': 'gbdt', 'objective': 'binary', 'metric':'auc', 'seed': 4, 'num_iterations': 10000, 'early_stopping_round': 100, 'verbose_eval': 200, 'num_leaves': 64, 'feature_fraction': 0.8, 'bagging_fraction': 0.8, 'bagging_freq': 5}
sub = simple.Model(data, 'LGB', params, 0.2, 4 ).PRED
sub['isFraud'] = sub['isFraud'].clip(0,1)
 sub.to_csv('lgb.csv', index=False )
t_finish = time.time()
print(f"Kernel run time = {(t_finish-t_start)/3600} hours" )<set_options>
sub = simple.Blend(['.. /input/ieee-fraud-simple-baseline-0-9383-lb/simple_xgboost.csv', 'lgb.csv'], 'TransactionID', 'isFraud', 'blend01.csv' )
%matplotlib inline 
<set_options>
sub = simple.Blend(['.. /input/ensemble/stack_minmax_bestbase.csv', 'blend01.csv'], 'TransactionID', 'isFraud', 'blend02.csv' )
<load_from_csv><EOS> 
sub = simple.Blend(['.. /input/gmean-of-low-correlation-lb-0-952x/stack_gmean.csv', 'blend02.csv'], 'TransactionID', 'isFraud', 'blend03.csv' )