code stringlengths 3 6.57k |
|---|
schema_name(self) |
self.id.split('.') |
dataset_name(self) |
self.id.split('.') |
describe(self, autoformat=True) |
variable (column) |
autoformat (boolean) |
pd.set_option(FLOAT_FORMAT, lambda x: '%.3f' % x) |
variable_describe(data) |
head(self) |
rows
(i.e. zip codes of small countries) |
head(self.__class__, data) |
tail(self) |
rows
(i.e. zip codes of small countries) |
tail(self.__class__, data) |
counts(self) |
distinct (unique) |
counts(data) |
quantiles(self) |
quantiles(data) |
top_values(self) |
top_values(data) |
histogram(self) |
histogram(data) |
__repr__(self) |
len(descr) |
get('{entity_id}') |
format(classname=self.__class__.__name__, entity_id=self._get_print_id() |
main() |
open("../assets/inputS1C6.txt","r") |
line.rstrip() |
bytearray(b64decode(file64) |
range(2,40) |
range(0, sample_size) |
bytearray(file[(keysize*ctr) |
bytearray(file[(keysize*(ctr+1) |
hamming_distance(b1, b2) |
float(keysize) |
distances.append([keysize, dist]) |
sorted(distances,key=itemgetter(1) |
print("Possible Solutions...\n") |
split_blocks(key,file) |
range(0,key) |
bytearray() |
tblock.append(block[idx]) |
transposed_blocks.append(tblock) |
range(1,int("ff",16) |
xor(bytearray(bytes({i}) |
xor_bytes.decode("ascii") |
bytekeys.append([i,xor_string,freq_score(xor_string) |
bytekeys.sort(key=lambda x: x[2], reverse=True) |
chr(bkey[0]) |
print("Key:{0}\n".format(passphrase) |
print(xor(bytearray(passphrase.encode() |
bytearray(file) |
decode() |
main() |
read_cifar10(filename_queue) |
result (32) |
result (32) |
result (3) |
CIFAR10Record(object) |
CIFAR10Record() |
tf.FixedLengthRecordReader(record_bytes=record_bytes) |
reader.read(filename_queue) |
tf.decode_raw(value, tf.uint8) |
tf.strided_slice(record_bytes, [0], [label_bytes], [1]) |
tf.transpose(depth_major, [1, 2, 0]) |
tf.summary.image('images', images) |
tf.reshape(label_batch, [batch_size]) |
distorted_inputs(data_dir, batch_size) |
os.path.join(data_dir, 'data_batch_%d.bin' % i) |
xrange(1, 6) |
tf.gfile.Exists(f) |
ValueError('Failed to find file: ' + f) |
tf.train.string_input_producer(filenames) |
read_cifar10(filename_queue) |
tf.cast(read_input.uint8image, tf.float32) |
tf.random_crop(reshaped_image, [height, width, 3]) |
tf.image.random_flip_left_right(distorted_image) |
tf.image.per_image_standardization(distorted_image) |
float_image.set_shape([height, width, 3]) |
read_input.label.set_shape([1]) |
inputs(eval_data, data_dir, batch_size) |
os.path.join(data_dir, 'data_batch_%d.bin' % i) |
xrange(1, 6) |
os.path.join(data_dir, 'test_batch.bin') |
tf.gfile.Exists(f) |
ValueError('Failed to find file: ' + f) |
tf.train.string_input_producer(filenames) |
read_cifar10(filename_queue) |
tf.cast(read_input.uint8image, tf.float32) |
tf.image.per_image_standardization(resized_image) |
read_input.label.set_shape((1,) |
enum(RUNNING='running', OK='complete', QUEUED='queued', ERROR="failed") |
getLogger(__name__) |
LSF(BaseJobExec) |
__init__(self, **params) |
params.items() |
job_script_kwargs(self, ofile, efile, job_name) |
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