ytzi/the-stack-dedup-python-filtered-docstrings

fd14235a97115d0da605df7efd9315bb578a44f1

101

py

Python

run_kbstopwatch.py

mwiens91/kb-stopwatch

0eec6bd942ca1e9786f36d8e577ce304b58d77a3

[ "MIT" ]

null

run_kbstopwatch.py

mwiens91/kb-stopwatch

0eec6bd942ca1e9786f36d8e577ce304b58d77a3

[ "MIT" ]

null

run_kbstopwatch.py

mwiens91/kb-stopwatch

0eec6bd942ca1e9786f36d8e577ce304b58d77a3

[ "MIT" ]

null

#!/usr/bin/env python3 """Runs kb-stopwatch.""" from kbstopwatch.main import main # Run it main()

11.222222

33

0.683168

#!/usr/bin/env python3 """Runs kb-stopwatch.""" from kbstopwatch.main import main # Run it main()

0

a20c02cbb720f1bb48ec57842efc94d26eab867b

4,527

py

Python

transduction_based/laplacian_tags.py

vohoaiviet/tag-image-retrieval

0a257560581f702cd394f3f28c9e0f6202827ce8

[ "MIT" ]

50

2015-11-04T15:53:09.000Z

2022-01-03T14:46:17.000Z

transduction_based/laplacian_tags.py

vohoaiviet/tag-image-retrieval

0a257560581f702cd394f3f28c9e0f6202827ce8

[ "MIT" ]

2

2018-03-07T09:51:50.000Z

2018-10-13T11:05:13.000Z

transduction_based/laplacian_tags.py

vohoaiviet/tag-image-retrieval

0a257560581f702cd394f3f28c9e0f6202827ce8

[ "MIT" ]

17

2015-10-26T03:41:49.000Z

2021-08-23T08:11:05.000Z

#!/usr/bin/env python # encoding: utf-8 import sys, os import numpy as np import bisect import scipy.io import bisect import math import h5py from nltk.corpus import wordnet as wn from nltk.corpus import wordnet_ic from basic.constant import ROOT_PATH from basic.common import makedirsforfile, checkToSkip, printStatus from basic.util import readImageSet from basic.annotationtable import readConcepts from util.simpleknn.bigfile import BigFile from instance_based.tagvote import * INFO = 'transduction_based.laplacian_tags' DEFAULT_RATIOCS = 0.9 if __name__ == "__main__": sys.exit(main())

34.295455

181

0.662249

#!/usr/bin/env python # encoding: utf-8 import sys, os import numpy as np import bisect import scipy.io import bisect import math import h5py from nltk.corpus import wordnet as wn from nltk.corpus import wordnet_ic from basic.constant import ROOT_PATH from basic.common import makedirsforfile, checkToSkip, printStatus from basic.util import readImageSet from basic.annotationtable import readConcepts from util.simpleknn.bigfile import BigFile from instance_based.tagvote import * INFO = 'transduction_based.laplacian_tags' DEFAULT_RATIOCS = 0.9 def tag_semantic_similarity(x, y, ic): mx = wn.morphy(x) my = wn.morphy(y) if mx is None or my is None: return 0 synX = wn.synsets(mx, pos=wn.NOUN) synY = wn.synsets(my, pos=wn.NOUN) if len(synX) > 0 and len(synY) > 0: maxSim = synX[0].lin_similarity(synY[0], ic) else: maxSim = 0 return maxSim def process(options, workingCollection): rootpath = options.rootpath overwrite = options.overwrite chunk = options.chunk - 1 n_chunks = options.nchunks ratio_cs = options.ratiocs assert chunk < n_chunks and chunk >= 0 and n_chunks > 0 printStatus(INFO, 'RatioCS = %f' % ratio_cs) printStatus(INFO, 'Using Brown Corpus for the ic') brown_ic = wordnet_ic.ic('ic-brown.dat') tags_file = os.path.join(rootpath, workingCollection, 'TextData', 'lemm_wordnet_freq_tags.h5') if not os.path.exists(tags_file): printStatus(INFO, 'Tags file not found at %s Did you run wordnet_frequency_tags.py ?' % tags_file) sys.exit(1) if n_chunks > 1: resultfile = os.path.join(rootpath, workingCollection, 'LaplacianT', '%f'%(ratio_cs), 'laplacianT_%d.mat' % chunk) else: resultfile = os.path.join(rootpath, workingCollection, 'LaplacianT', '%f'%(ratio_cs), 'laplacianT.mat') if checkToSkip(resultfile, overwrite): return 0 tags_data = h5py.File(tags_file, 'r') vocab = list(tags_data['vocab'][:]) tagmatrix = tags_data['tagmatrix'][:] N_tags = len(vocab) # single tag frequency frequency = tagmatrix.sum(axis=0) assert len(frequency) == len(vocab), "%s " % len(frequency) == len(vocab) final_matrix = np.zeros((N_tags, N_tags)) # similarity matrix printStatus(INFO, 'Building the similarity matrix') start_chunk = chunk * int(math.floor(N_tags / n_chunks)) if chunk == (n_chunks - 1): end_chunk = N_tags else: end_chunk = (chunk + 1) * int(math.floor(N_tags / n_chunks)) for i in xrange(start_chunk, end_chunk): if i % 100 == 0: printStatus(INFO, '%d / %d done' % (i+1, end_chunk)) for k in xrange(i+1, N_tags): context = ratio_cs * np.sum(tagmatrix[:, [i, k]].sum(axis=1) > 1.5) / (frequency[i] + frequency[k]) semantic = max(0, (1. - ratio_cs) * tag_semantic_similarity(vocab[i], vocab[k], brown_ic)) final_matrix[i, k] = context + semantic final_matrix[k, i] = final_matrix[i, k] # laplacian if n_chunks < 2: printStatus(INFO, 'Computing the laplacian matrix') new_diag = final_matrix.sum(axis=0).T final_matrix = - final_matrix for i in xrange(N_tags): final_matrix[i, i] = new_diag[i] if n_chunks < 2: printStatus(INFO, 'Saving laplacian matrix to %s' % resultfile) else: printStatus(INFO, 'Saving partial matrix to %s' % resultfile) makedirsforfile(resultfile) scipy.io.savemat(resultfile, {'tag_similarity' : final_matrix}) def main(argv=None): if argv is None: argv = sys.argv[1:] from optparse import OptionParser parser = OptionParser(usage="""usage: %prog [options] workingCollection""") parser.add_option("--overwrite", default=0, type="int", help="overwrite existing file (default=0)") parser.add_option("--ratiocs", default=DEFAULT_RATIOCS, type="float", help="ratio of context vs wordnet similarity in tag similarity compitation (default %f)" % DEFAULT_RATIOCS) parser.add_option("--rootpath", default=ROOT_PATH, type="string", help="(default: %s)" % ROOT_PATH) parser.add_option("--chunk", default=1, type="int", help="job number (default: 1)") parser.add_option("--nchunks", default=1, type="int", help="total number of jobs (default: 1)") (options, args) = parser.parse_args(argv) if len(args) < 1: parser.print_help() return 1 return process(options, args[0]) if __name__ == "__main__": sys.exit(main())

3,858

0

69

f7b24a3ed38cb3ed9682bfcbcf9843f1d5c4f3d8

11,103

py

Python

layers/qlib.py

astonzhang/Parameterization-of-Hypercomplex-Multiplications

0e3f1ceebccce9f14ce629356733c07602eb351c

[ "Apache-2.0" ]

10

2021-12-24T17:13:59.000Z

2022-03-22T10:15:00.000Z

layers/qlib.py

astonzhang/Parameterization-of-Hypercomplex-Multiplications

0e3f1ceebccce9f14ce629356733c07602eb351c

[ "Apache-2.0" ]

null

layers/qlib.py

astonzhang/Parameterization-of-Hypercomplex-Multiplications

0e3f1ceebccce9f14ce629356733c07602eb351c

[ "Apache-2.0" ]

null

from __future__ import absolute_import from __future__ import division from __future__ import print_function import tensorflow as tf import numpy as np from numpy.random import RandomState from tensorflow.python.framework import dtypes from tensorflow.python.ops import random_ops import random """ Quarternion layers References: https://arxiv.org/pdf/1806.04418.pdf https://arxiv.org/pdf/1806.07789.pdf https://github.com/Orkis-Research/light-Recurrent-Neural-Networks https://github.com/Orkis-Research/light-Convolutional-Neural-Networks-for-End-to-End-Automatic-Speech-Recognition Some functions are direct ports from the Pytorch library. """ def quarternion_attention(a, b): """ Performs dot product attention between two quarternion sequences. a = bsz x al x dim b = bsz x bl x dim following: (rr' - xx' - yy' - zz') + (rx' + xr' + yz' - zy')i + (ry' - xz' + yr' + zx')j + (rz' + xy' - yx' + zr')k + the output should be one attention matrix for each component (r,i,j,k) """ print("light Attention!") print(a) print(b) al, bl = tf.shape(a)[2], tf.shape(b)[2] ar, ax, ay, az = tf.split(a, 4, axis=-1) br, bx, by, bz = tf.split(b, 4, axis=-1) r = tf.matmul(ar, br, transpose_b=True) - tf.matmul(ax, bx, transpose_b=True) - tf.matmul(ay, by, transpose_b=True) - tf.matmul(az, bz, transpose_b=True) i = tf.matmul(ar, bx, transpose_b=True) + tf.matmul(ax, br, transpose_b=True) + tf.matmul(ay, bz, transpose_b=True) - tf.matmul(az, by, transpose_b=True) j = tf.matmul(ar, by, transpose_b=True) - tf.matmul(ax, bz, transpose_b=True) + tf.matmul(ay, br, transpose_b=True) + tf.matmul(az, bx, transpose_b=True) k = tf.matmul(ar, bz, transpose_b=True) + tf.matmul(ax, by, transpose_b=True) - tf.matmul(ay, bx, transpose_b=True) + tf.matmul(az, br, transpose_b=True) return [r, i, j, k] def quarternion_dot_product_att(a, b): """ Wrapper for two sequences """ al = tf.shape(a)[1] bl = tf.shape(b)[1] # print(a) d = a.get_shape().as_list()[2] bsz = tf.shape(b)[0] a = tf.reshape(a, [-1, d]) a = tf.tile(a, [bl, 1]) b = tf.reshape(b, [-1, d]) b = tf.tile(b, [al, 1]) att = quarternion_dot(a, b) att = tf.reshape(att, [bsz, -1, al * bl]) att = tf.reduce_sum(att, 1) return tf.reshape(att, [-1, al * bl]) def quarternion_dot(q0, q1): """ Quarternion product between 2 quarternions returns same shape and acts like element-wise quarternion mul """ q1_r = get_r(q1) q1_i = get_i(q1) q1_j = get_j(q1) q1_k = get_k(q1) r_base = tf.multiply(q0, q1) r = get_r(r_base) - get_i(r_base) - get_j(r_base) - get_k(r_base) i_base = tf.multiply(q0, tf.concat([q1_i, q1_r, q1_k, q1_j], 1)) i = get_r(i_base) + get_i(i_base) + get_j(i_base) - get_k(i_base) j_base = tf.multiply(q0, tf.concat([q1_j, q1_k, q1_r, q1_i], 1)) j = get_r(j_base) - get_i(j_base) + get_j(j_base) + get_k(j_base) k_base = tf.multiply(q0, tf.concat([q1_k, q1_j, q1_i, q1_r], 1)) k = get_r(k_base) + get_i(k_base) - get_j(k_base) + get_k(k_base) return tf.concat([r, i, j, k], 1) def quarternion_concat(x, axis): """ Helpful if we have 2 quarternions in [r,i,j,k]. We can't simply concat them as it would mess the components. So in this case, we extract each component and concat them individually. """ output = [[] for i in range(4)] for _x in x: sp = tf.split(_x, 4, axis=axis) for i in range(4): output[i].append(sp[i]) final = [] for o in output: o = tf.concat(o, axis) final.append(o) return tf.concat(final, axis) def quarternion_ffn_3d(x, dim, name='', init=None, num_layers=1, activation=None, reuse=None): """ Quarternion Feed-forward layers to 3D input [bsz x seq_len x dim] returns same shape tensor with new projected dimension. """ print("QFFN layer..") _d = x.get_shape().as_list()[2] sq = tf.shape(x)[1] x = tf.reshape(x, [-1, _d]) x = quarternion_ffn(x, dim, name=name, init=init, num_layers=num_layers, activation=activation,reuse=reuse) x = tf.reshape(x, [-1, sq, dim]) return x def factorized_ffn_3d(x, dim, name='', init=None, num_layers=1, activation=None, reuse=None): """ 3D factorized FFN layer """ print("Factor Layer") _d = x.get_shape().as_list()[2] sq = tf.shape(x)[1] x = tf.reshape(x, [-1, _d]) x = factorized_ffn(x, dim, name=name, init=init, num_layers=num_layers, activation=activation,reuse=reuse) x = tf.reshape(x, [-1, sq, dim]) return x def factorized_ffn(x, dim, name='', init=None, num_layers=1, activation=None, reuse=None): """ Factorized FFN """ if(init is None): init = tf.contrib.layers.xavier_initializer() input_dim=x.get_shape().as_list()[2] k1 = tf.get_variable('factork1{}'.format(name), [input_dim], initializer=init) k2 = tf.get_variable('factork2{}'.format(name), [dim], initializer=init) W = tf.tensordot(k1, k2, axes=0) output = tf.matmul(x, W) if(activation): output = activation(output) return output def quarternion_ffn(x, dim, name='', init=None, num_layers=1, activation=None, reuse=None): """ Implements quarternion feed-forward layer x is [bsz x features] tensor """ if(init is None): init = tf.contrib.layers.xavier_initializer() # init = q_xavier_initializer() input_dim = x.get_shape().as_list()[1] // 4 with tf.variable_scope('Q{}'.format(name), reuse=reuse) as scope: kernel = tf.get_variable('quarternion', [input_dim, dim], initializer=init) hamilton = make_quarternion_mul(kernel) output = tf.matmul(x, hamilton) if(activation): output = activation(output) return output def make_random_mul(kernel, n=4, concat_dim=0, dual=False): """ input is dim/n x dim output is dim x dim generalization and parameterized hypercomplex product """ dim = kernel.get_shape().as_list()[1] dim2 = kernel.get_shape().as_list()[0] kernel = tf.reshape(kernel, [dim2, 1, 1, dim]) mix = tf.split(kernel, n, axis=-1) sdim = mix[0].get_shape().as_list()[-1] # dim//n x 1 x 1 x dim//n AM = tf.get_variable('A', [n, 1, n, n]) cat = tf.concat(mix, axis=1) # dim/n x n x 1 x dim/n cat = tf.tile(cat, [1, 1, n, 1]) # dim/n x n x n x dim/n cat = tf.transpose(cat, [1, 0, 2, 3]) # n x dim/n x n x dim/n if(dual==1): print("Using Dual..") BM = tf.get_variable('B', [n, 1, n, n]) AM *= tf.nn.sigmoid(BM) AM = tf.tile(AM, [1, dim2, 1, 1]) # n x dim/n x n x n cat = tf.matmul(AM, cat) # n x dim/n x n x dim/n output = tf.reshape(cat, [dim2 *n, dim]) return output def random_ffn_3d(x, dim, n=16, name='', init=None, num_layers=1, activation=None, reuse=None, dual=False): """ Implements random feed-forward layer x is [bsz x features] tensor """ print("R-FFN layer..n={} dual={}".format(n, dual)) _d = x.get_shape().as_list()[2] sq = tf.shape(x)[1] x = tf.reshape(x, [-1, _d]) print(x) x = random_ffn(x, dim, n=n, name=name, init=init, num_layers=num_layers, activation=activation, reuse=reuse, dual=dual) x = tf.reshape(x, [-1, sq, dim]) return x def random_ffn(x, dim, n=4, name='', init=None, num_layers=1, activation=None, reuse=None, dual=0): """ Implements random feed-forward layer x is [bsz x features] tensor """ if(init is None): init = tf.contrib.layers.xavier_initializer() # init = q_xavier_initializer() input_dim = x.get_shape().as_list()[1] // n with tf.variable_scope('R{}'.format(name), reuse=reuse) as scope: kernel = tf.get_variable('random', [input_dim, dim], initializer=init) hamilton = make_random_mul(kernel, n=n, dual=dual) output = tf.matmul(x, hamilton) if(activation): output = activation(output) return output def octonion_ffn_3d(x, dim, name='', init=None, num_layers=1, activation=None, reuse=None): """ Quarternion Feed-forward layers to 3D input [bsz x seq_len x dim] returns same shape tensor with new projected dimension. """ print("OFFN layer..") _d = x.get_shape().as_list()[2] sq = tf.shape(x)[1] x = tf.reshape(x, [-1, _d]) x = octonion_ffn(x, dim, name=name, init=init, num_layers=num_layers, activation=activation,reuse=reuse) x = tf.reshape(x, [-1, sq, dim]) return x

30.841667

154

0.665766

from __future__ import absolute_import from __future__ import division from __future__ import print_function import tensorflow as tf import numpy as np from numpy.random import RandomState from tensorflow.python.framework import dtypes from tensorflow.python.ops import random_ops import random """ Quarternion layers References: https://arxiv.org/pdf/1806.04418.pdf https://arxiv.org/pdf/1806.07789.pdf https://github.com/Orkis-Research/light-Recurrent-Neural-Networks https://github.com/Orkis-Research/light-Convolutional-Neural-Networks-for-End-to-End-Automatic-Speech-Recognition Some functions are direct ports from the Pytorch library. """ def make_quarternion_mul(kernel, concat_dim=0): r, i, j, k = tf.split(kernel, 4, axis=-1) r2 = tf.concat([r, -i, -j, -k], axis=-1) # 0, 1, 2, 3 i2 = tf.concat([i, r, -k, j], axis=-1) # 1, 0, 3, 2 j2 = tf.concat([j, k, r, -i], axis=-1) # 2, 3, 0, 1 k2 = tf.concat([k, -j, i, r],axis=-1) # 3, 2, 1, 0 hamilton = tf.concat([r2, i2, j2, k2], axis=concat_dim) return hamilton def get_r(x, a=1): return tf.split(x, 4, axis=a)[0] def get_i(x, a=1): return tf.split(x, 4, axis=a)[1] def get_j(x, a=1): return tf.split(x, 4, axis=a)[2] def get_k(x, a=1): return tf.split(x, 4, axis=a)[3] def quarternion_attention(a, b): """ Performs dot product attention between two quarternion sequences. a = bsz x al x dim b = bsz x bl x dim following: (rr' - xx' - yy' - zz') + (rx' + xr' + yz' - zy')i + (ry' - xz' + yr' + zx')j + (rz' + xy' - yx' + zr')k + the output should be one attention matrix for each component (r,i,j,k) """ print("light Attention!") print(a) print(b) al, bl = tf.shape(a)[2], tf.shape(b)[2] ar, ax, ay, az = tf.split(a, 4, axis=-1) br, bx, by, bz = tf.split(b, 4, axis=-1) r = tf.matmul(ar, br, transpose_b=True) - tf.matmul(ax, bx, transpose_b=True) - tf.matmul(ay, by, transpose_b=True) - tf.matmul(az, bz, transpose_b=True) i = tf.matmul(ar, bx, transpose_b=True) + tf.matmul(ax, br, transpose_b=True) + tf.matmul(ay, bz, transpose_b=True) - tf.matmul(az, by, transpose_b=True) j = tf.matmul(ar, by, transpose_b=True) - tf.matmul(ax, bz, transpose_b=True) + tf.matmul(ay, br, transpose_b=True) + tf.matmul(az, bx, transpose_b=True) k = tf.matmul(ar, bz, transpose_b=True) + tf.matmul(ax, by, transpose_b=True) - tf.matmul(ay, bx, transpose_b=True) + tf.matmul(az, br, transpose_b=True) return [r, i, j, k] def quarternion_dot_product_att(a, b): """ Wrapper for two sequences """ al = tf.shape(a)[1] bl = tf.shape(b)[1] # print(a) d = a.get_shape().as_list()[2] bsz = tf.shape(b)[0] a = tf.reshape(a, [-1, d]) a = tf.tile(a, [bl, 1]) b = tf.reshape(b, [-1, d]) b = tf.tile(b, [al, 1]) att = quarternion_dot(a, b) att = tf.reshape(att, [bsz, -1, al * bl]) att = tf.reduce_sum(att, 1) return tf.reshape(att, [-1, al * bl]) def quarternion_dot_3d(q0, q1): d = q0.get_shape().as_list()[2] sq = tf.shape(q0)[1] q0 = tf.reshape(q0, [-1, d]) q1 = tf.reshape(q1, [-1, d]) out = quarternion_dot(q0, q1) return tf.reshape(out, [-1, sq, d]) def quarternion_dot(q0, q1): """ Quarternion product between 2 quarternions returns same shape and acts like element-wise quarternion mul """ q1_r = get_r(q1) q1_i = get_i(q1) q1_j = get_j(q1) q1_k = get_k(q1) r_base = tf.multiply(q0, q1) r = get_r(r_base) - get_i(r_base) - get_j(r_base) - get_k(r_base) i_base = tf.multiply(q0, tf.concat([q1_i, q1_r, q1_k, q1_j], 1)) i = get_r(i_base) + get_i(i_base) + get_j(i_base) - get_k(i_base) j_base = tf.multiply(q0, tf.concat([q1_j, q1_k, q1_r, q1_i], 1)) j = get_r(j_base) - get_i(j_base) + get_j(j_base) + get_k(j_base) k_base = tf.multiply(q0, tf.concat([q1_k, q1_j, q1_i, q1_r], 1)) k = get_r(k_base) + get_i(k_base) - get_j(k_base) + get_k(k_base) return tf.concat([r, i, j, k], 1) def quarternion_concat(x, axis): """ Helpful if we have 2 quarternions in [r,i,j,k]. We can't simply concat them as it would mess the components. So in this case, we extract each component and concat them individually. """ output = [[] for i in range(4)] for _x in x: sp = tf.split(_x, 4, axis=axis) for i in range(4): output[i].append(sp[i]) final = [] for o in output: o = tf.concat(o, axis) final.append(o) return tf.concat(final, axis) def quarternion_ffn_3d(x, dim, name='', init=None, num_layers=1, activation=None, reuse=None): """ Quarternion Feed-forward layers to 3D input [bsz x seq_len x dim] returns same shape tensor with new projected dimension. """ print("QFFN layer..") _d = x.get_shape().as_list()[2] sq = tf.shape(x)[1] x = tf.reshape(x, [-1, _d]) x = quarternion_ffn(x, dim, name=name, init=init, num_layers=num_layers, activation=activation,reuse=reuse) x = tf.reshape(x, [-1, sq, dim]) return x def factorized_ffn_3d(x, dim, name='', init=None, num_layers=1, activation=None, reuse=None): """ 3D factorized FFN layer """ print("Factor Layer") _d = x.get_shape().as_list()[2] sq = tf.shape(x)[1] x = tf.reshape(x, [-1, _d]) x = factorized_ffn(x, dim, name=name, init=init, num_layers=num_layers, activation=activation,reuse=reuse) x = tf.reshape(x, [-1, sq, dim]) return x def factorized_ffn(x, dim, name='', init=None, num_layers=1, activation=None, reuse=None): """ Factorized FFN """ if(init is None): init = tf.contrib.layers.xavier_initializer() input_dim=x.get_shape().as_list()[2] k1 = tf.get_variable('factork1{}'.format(name), [input_dim], initializer=init) k2 = tf.get_variable('factork2{}'.format(name), [dim], initializer=init) W = tf.tensordot(k1, k2, axes=0) output = tf.matmul(x, W) if(activation): output = activation(output) return output def quarternion_ffn(x, dim, name='', init=None, num_layers=1, activation=None, reuse=None): """ Implements quarternion feed-forward layer x is [bsz x features] tensor """ if(init is None): init = tf.contrib.layers.xavier_initializer() # init = q_xavier_initializer() input_dim = x.get_shape().as_list()[1] // 4 with tf.variable_scope('Q{}'.format(name), reuse=reuse) as scope: kernel = tf.get_variable('quarternion', [input_dim, dim], initializer=init) hamilton = make_quarternion_mul(kernel) output = tf.matmul(x, hamilton) if(activation): output = activation(output) return output def make_random_mul(kernel, n=4, concat_dim=0, dual=False): """ input is dim/n x dim output is dim x dim generalization and parameterized hypercomplex product """ dim = kernel.get_shape().as_list()[1] dim2 = kernel.get_shape().as_list()[0] kernel = tf.reshape(kernel, [dim2, 1, 1, dim]) mix = tf.split(kernel, n, axis=-1) sdim = mix[0].get_shape().as_list()[-1] # dim//n x 1 x 1 x dim//n AM = tf.get_variable('A', [n, 1, n, n]) cat = tf.concat(mix, axis=1) # dim/n x n x 1 x dim/n cat = tf.tile(cat, [1, 1, n, 1]) # dim/n x n x n x dim/n cat = tf.transpose(cat, [1, 0, 2, 3]) # n x dim/n x n x dim/n if(dual==1): print("Using Dual..") BM = tf.get_variable('B', [n, 1, n, n]) AM *= tf.nn.sigmoid(BM) AM = tf.tile(AM, [1, dim2, 1, 1]) # n x dim/n x n x n cat = tf.matmul(AM, cat) # n x dim/n x n x dim/n output = tf.reshape(cat, [dim2 *n, dim]) return output def random_ffn_3d(x, dim, n=16, name='', init=None, num_layers=1, activation=None, reuse=None, dual=False): """ Implements random feed-forward layer x is [bsz x features] tensor """ print("R-FFN layer..n={} dual={}".format(n, dual)) _d = x.get_shape().as_list()[2] sq = tf.shape(x)[1] x = tf.reshape(x, [-1, _d]) print(x) x = random_ffn(x, dim, n=n, name=name, init=init, num_layers=num_layers, activation=activation, reuse=reuse, dual=dual) x = tf.reshape(x, [-1, sq, dim]) return x def random_ffn(x, dim, n=4, name='', init=None, num_layers=1, activation=None, reuse=None, dual=0): """ Implements random feed-forward layer x is [bsz x features] tensor """ if(init is None): init = tf.contrib.layers.xavier_initializer() # init = q_xavier_initializer() input_dim = x.get_shape().as_list()[1] // n with tf.variable_scope('R{}'.format(name), reuse=reuse) as scope: kernel = tf.get_variable('random', [input_dim, dim], initializer=init) hamilton = make_random_mul(kernel, n=n, dual=dual) output = tf.matmul(x, hamilton) if(activation): output = activation(output) return output def octonion_ffn_3d(x, dim, name='', init=None, num_layers=1, activation=None, reuse=None): """ Quarternion Feed-forward layers to 3D input [bsz x seq_len x dim] returns same shape tensor with new projected dimension. """ print("OFFN layer..") _d = x.get_shape().as_list()[2] sq = tf.shape(x)[1] x = tf.reshape(x, [-1, _d]) x = octonion_ffn(x, dim, name=name, init=init, num_layers=num_layers, activation=activation,reuse=reuse) x = tf.reshape(x, [-1, sq, dim]) return x def octonion_ffn(x, dim, name='', init=None, num_layers=1, activation=None, reuse=None): if(init is None): init = tf.contrib.layers.xavier_initializer() input_dim = x.get_shape().as_list()[1] // 8 with tf.variable_scope('OCT{}'.format(name), reuse=reuse) as scope: kernel = tf.get_variable('octonion', [input_dim, dim], initializer=init) output = octonion_mul(x, kernel) return output def hamilton_product(x, kernel): h = make_quarternion_mul(kernel) output = tf.matmul(x, h) return output def qstar(x): x = tf.split(x, 4, axis=-1) x1 = -x[1] x2 = -x[2] return tf.concat([x[0],x1,x2,x[3]], axis=-1) def octonion_mul(x, kernel): x1, x2 = tf.split(x, 2, axis=-1) k1, k2 = tf.split(kernel, 2, axis=-1) print(x1) print(k1) o1 = hamilton_product(x1, k1) o2 = hamilton_product(k2, x1) o1 -= hamilton_product(qstar(k2), x2) o2 += hamilton_product(x2, qstar(k1)) output = tf.concat([o1, o2], axis=-1) return output class QuarternionRNN(tf.nn.rnn_cell.RNNCell): def __init__(self, input_dim, output_dim, initializer=None, name='', reuse=None): """ Rough implementation (need double-check) from the Quarternion RNN paper. For now, works decently. """ self.dim = output_dim with tf.variable_scope("QuartRNN{}".format(name), reuse=reuse) as scope: if(initializer is None): # initializer = tf.contrib.layers.xavier_initializer() initialzier = tf.orthogonal_initializer() input_dim = input_dim // 4 self.Wh = tf.get_variable("Wh", [input_dim, output_dim], initializer=initializer) self.Wx = tf.get_variable("Wx", [input_dim, output_dim], initializer=initializer) self.Wy = tf.get_variable("Wy", [input_dim, output_dim], initializer=initializer) self.Wh = make_quarternion_mul(self.Wh) self.Wx = make_quarternion_mul(self.Wx) self.Wy = make_quarternion_mul(self.Wy) @property def state_size(self): return self.dim @property def output_size(self): return self.dim def __call__(self, inputs, state, scope=None): """ inputs: 2-D tensor of shape [batch_size, feats + [gates]] """ new_state = tf.matmul(state, self.Wh) + tf.matmul(inputs, self.Wx) new_state = tf.nn.sigmoid(new_state) output = tf.nn.tanh(tf.matmul(inputs, self.Wy)) return output, new_state

1,561

1,275

253

71ef1c0962702fc6f2da6abacd53906df9d377f8

42,856

py

Python

hfc/protos/token/prover_pb2.py

hyperledger-gerrit-archive/fabric-sdk-py

0432d0ebce06a053d55febf7ed793dd163fcb68c

[ "Apache-2.0" ]

null

hfc/protos/token/prover_pb2.py

hyperledger-gerrit-archive/fabric-sdk-py

0432d0ebce06a053d55febf7ed793dd163fcb68c

[ "Apache-2.0" ]

1

2019-12-09T05:05:41.000Z

hfc/protos/token/prover_pb2.py

hyperledger-gerrit-archive/fabric-sdk-py

0432d0ebce06a053d55febf7ed793dd163fcb68c

[ "Apache-2.0" ]

null

# Generated by the protocol buffer compiler. DO NOT EDIT! # source: hfc/protos/token/prover.proto import sys _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() from google.protobuf import timestamp_pb2 as google_dot_protobuf_dot_timestamp__pb2 from hfc.protos.token import expectations_pb2 as hfc_dot_protos_dot_token_dot_expectations__pb2 from hfc.protos.token import transaction_pb2 as hfc_dot_protos_dot_token_dot_transaction__pb2 DESCRIPTOR = _descriptor.FileDescriptor( name='hfc/protos/token/prover.proto', package='token', syntax='proto3', serialized_options=_b('\n#org.hyperledger.fabric.protos.tokenZ*github.com/hyperledger/fabric/protos/token'), serialized_pb=_b('\n\x1dhfc/protos/token/prover.proto\x12\x05token\x1a\x1fgoogle/protobuf/timestamp.proto\x1a#hfc/protos/token/expectations.proto\x1a\"hfc/protos/token/transaction.proto\"A\n\x0cTokenToIssue\x12\x11\n\trecipient\x18\x01 \x01(\x0c\x12\x0c\n\x04type\x18\x02 \x01(\t\x12\x10\n\x08quantity\x18\x03 \x01(\x04\"=\n\x16RecipientTransferShare\x12\x11\n\trecipient\x18\x01 \x01(\x0c\x12\x10\n\x08quantity\x18\x02 \x01(\x04\"I\n\x0bTokenOutput\x12\x1a\n\x02id\x18\x01 \x01(\x0b\x32\x0e.token.InputId\x12\x0c\n\x04type\x18\x02 \x01(\t\x12\x10\n\x08quantity\x18\x03 \x01(\x04\"3\n\rUnspentTokens\x12\"\n\x06tokens\x18\x01 \x03(\x0b\x32\x12.token.TokenOutput\"!\n\x0bListRequest\x12\x12\n\ncredential\x18\x01 \x01(\x0c\"Q\n\rImportRequest\x12\x12\n\ncredential\x18\x01 \x01(\x0c\x12,\n\x0ftokens_to_issue\x18\x02 \x03(\x0b\x32\x13.token.TokenToIssue\"w\n\x0fTransferRequest\x12\x12\n\ncredential\x18\x01 \x01(\x0c\x12!\n\ttoken_ids\x18\x02 \x03(\x0b\x32\x0e.token.InputId\x12-\n\x06shares\x18\x03 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\x01(\x0c\"\x98\x03\n\x07\x43ommand\x12\x1d\n\x06header\x18\x01 \x01(\x0b\x32\r.token.Header\x12.\n\x0eimport_request\x18\x02 \x01(\x0b\x32\x14.token.ImportRequestH\x00\x12\x32\n\x10transfer_request\x18\x03 \x01(\x0b\x32\x16.token.TransferRequestH\x00\x12*\n\x0clist_request\x18\x04 \x01(\x0b\x32\x12.token.ListRequestH\x00\x12.\n\x0eredeem_request\x18\x05 \x01(\x0b\x32\x14.token.RedeemRequestH\x00\x12\x30\n\x0f\x61pprove_request\x18\x06 \x01(\x0b\x32\x15.token.ApproveRequestH\x00\x12\x37\n\x15transfer_from_request\x18\x07 \x01(\x0b\x32\x16.token.TransferRequestH\x00\x12\x38\n\x13\x65xpectation_request\x18\x08 \x01(\x0b\x32\x19.token.ExpectationRequestH\x00\x42\t\n\x07payload\"3\n\rSignedCommand\x12\x0f\n\x07\x63ommand\x18\x01 \x01(\x0c\x12\x11\n\tsignature\x18\x02 \x01(\x0c\"m\n\x15\x43ommandResponseHeader\x12-\n\ttimestamp\x18\x01 \x01(\x0b\x32\x1a.google.protobuf.Timestamp\x12\x14\n\x0c\x63ommand_hash\x18\x02 \x01(\x0c\x12\x0f\n\x07\x63reator\x18\x03 \x01(\x0c\")\n\x05\x45rror\x12\x0f\n\x07message\x18\x01 \x01(\t\x12\x0f\n\x07payload\x18\x02 \x01(\x0c\"\xcd\x01\n\x0f\x43ommandResponse\x12,\n\x06header\x18\x01 \x01(\x0b\x32\x1c.token.CommandResponseHeader\x12\x1b\n\x03\x65rr\x18\x02 \x01(\x0b\x32\x0c.token.ErrorH\x00\x12\x34\n\x11token_transaction\x18\x03 \x01(\x0b\x32\x17.token.TokenTransactionH\x00\x12.\n\x0eunspent_tokens\x18\x04 \x01(\x0b\x32\x14.token.UnspentTokensH\x00\x42\t\n\x07payload\"<\n\x15SignedCommandResponse\x12\x10\n\x08response\x18\x01 \x01(\x0c\x12\x11\n\tsignature\x18\x02 \x01(\x0c\x32P\n\x06Prover\x12\x46\n\x0eProcessCommand\x12\x14.token.SignedCommand\x1a\x1c.token.SignedCommandResponse\"\x00\x42Q\n#org.hyperledger.fabric.protos.tokenZ*github.com/hyperledger/fabric/protos/tokenb\x06proto3') , dependencies=[google_dot_protobuf_dot_timestamp__pb2.DESCRIPTOR,hfc_dot_protos_dot_token_dot_expectations__pb2.DESCRIPTOR,hfc_dot_protos_dot_token_dot_transaction__pb2.DESCRIPTOR,]) _TOKENTOISSUE = _descriptor.Descriptor( name='TokenToIssue', full_name='token.TokenToIssue', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='recipient', full_name='token.TokenToIssue.recipient', index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='type', full_name='token.TokenToIssue.type', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='quantity', full_name='token.TokenToIssue.quantity', index=2, number=3, type=4, cpp_type=4, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=146, serialized_end=211, ) _RECIPIENTTRANSFERSHARE = _descriptor.Descriptor( name='RecipientTransferShare', full_name='token.RecipientTransferShare', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='recipient', full_name='token.RecipientTransferShare.recipient', index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='quantity', full_name='token.RecipientTransferShare.quantity', index=1, number=2, type=4, cpp_type=4, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=213, serialized_end=274, ) _TOKENOUTPUT = _descriptor.Descriptor( name='TokenOutput', full_name='token.TokenOutput', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='id', full_name='token.TokenOutput.id', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='type', full_name='token.TokenOutput.type', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='quantity', full_name='token.TokenOutput.quantity', index=2, number=3, type=4, cpp_type=4, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=276, serialized_end=349, ) _UNSPENTTOKENS = _descriptor.Descriptor( name='UnspentTokens', full_name='token.UnspentTokens', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='tokens', full_name='token.UnspentTokens.tokens', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=351, serialized_end=402, ) _LISTREQUEST = _descriptor.Descriptor( name='ListRequest', full_name='token.ListRequest', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='credential', full_name='token.ListRequest.credential', index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=404, serialized_end=437, ) _IMPORTREQUEST = _descriptor.Descriptor( name='ImportRequest', full_name='token.ImportRequest', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='credential', full_name='token.ImportRequest.credential', index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='tokens_to_issue', full_name='token.ImportRequest.tokens_to_issue', index=1, number=2, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=439, serialized_end=520, ) _TRANSFERREQUEST = _descriptor.Descriptor( name='TransferRequest', full_name='token.TransferRequest', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='credential', full_name='token.TransferRequest.credential', index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='token_ids', full_name='token.TransferRequest.token_ids', index=1, number=2, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='shares', full_name='token.TransferRequest.shares', index=2, number=3, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=522, serialized_end=641, ) _REDEEMREQUEST = _descriptor.Descriptor( name='RedeemRequest', full_name='token.RedeemRequest', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='credential', full_name='token.RedeemRequest.credential', index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='token_ids', full_name='token.RedeemRequest.token_ids', index=1, number=2, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='quantity_to_redeem', full_name='token.RedeemRequest.quantity_to_redeem', index=2, number=3, type=4, cpp_type=4, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=643, serialized_end=741, ) _ALLOWANCERECIPIENTSHARE = _descriptor.Descriptor( name='AllowanceRecipientShare', full_name='token.AllowanceRecipientShare', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='recipient', full_name='token.AllowanceRecipientShare.recipient', index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='quantity', full_name='token.AllowanceRecipientShare.quantity', index=1, number=2, type=4, cpp_type=4, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=743, serialized_end=805, ) _APPROVEREQUEST = _descriptor.Descriptor( name='ApproveRequest', full_name='token.ApproveRequest', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='credential', full_name='token.ApproveRequest.credential', index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='allowance_shares', full_name='token.ApproveRequest.allowance_shares', index=1, number=2, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='token_ids', full_name='token.ApproveRequest.token_ids', index=2, number=3, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=808, serialized_end=937, ) _EXPECTATIONREQUEST = _descriptor.Descriptor( name='ExpectationRequest', full_name='token.ExpectationRequest', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='credential', full_name='token.ExpectationRequest.credential', index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='expectation', full_name='token.ExpectationRequest.expectation', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='token_ids', full_name='token.ExpectationRequest.token_ids', index=2, number=3, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=939, serialized_end=1060, ) _HEADER = _descriptor.Descriptor( name='Header', full_name='token.Header', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='timestamp', full_name='token.Header.timestamp', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='channel_id', full_name='token.Header.channel_id', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='nonce', full_name='token.Header.nonce', index=2, number=3, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='creator', full_name='token.Header.creator', index=3, number=4, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='tls_cert_hash', full_name='token.Header.tls_cert_hash', index=4, number=5, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1063, serialized_end=1193, ) _COMMAND = _descriptor.Descriptor( name='Command', full_name='token.Command', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='header', full_name='token.Command.header', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='import_request', full_name='token.Command.import_request', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='transfer_request', full_name='token.Command.transfer_request', index=2, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='list_request', full_name='token.Command.list_request', index=3, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='redeem_request', full_name='token.Command.redeem_request', index=4, number=5, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='approve_request', full_name='token.Command.approve_request', index=5, number=6, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='transfer_from_request', full_name='token.Command.transfer_from_request', index=6, number=7, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='expectation_request', full_name='token.Command.expectation_request', index=7, number=8, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ _descriptor.OneofDescriptor( name='payload', full_name='token.Command.payload', index=0, containing_type=None, fields=[]), ], serialized_start=1196, serialized_end=1604, ) _SIGNEDCOMMAND = _descriptor.Descriptor( name='SignedCommand', full_name='token.SignedCommand', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='command', full_name='token.SignedCommand.command', index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='signature', full_name='token.SignedCommand.signature', index=1, number=2, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1606, serialized_end=1657, ) _COMMANDRESPONSEHEADER = _descriptor.Descriptor( name='CommandResponseHeader', full_name='token.CommandResponseHeader', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='timestamp', full_name='token.CommandResponseHeader.timestamp', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='command_hash', full_name='token.CommandResponseHeader.command_hash', index=1, number=2, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='creator', full_name='token.CommandResponseHeader.creator', index=2, number=3, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1659, serialized_end=1768, ) _ERROR = _descriptor.Descriptor( name='Error', full_name='token.Error', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='message', full_name='token.Error.message', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='payload', full_name='token.Error.payload', index=1, number=2, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1770, serialized_end=1811, ) _COMMANDRESPONSE = _descriptor.Descriptor( name='CommandResponse', full_name='token.CommandResponse', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='header', full_name='token.CommandResponse.header', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='err', full_name='token.CommandResponse.err', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='token_transaction', full_name='token.CommandResponse.token_transaction', index=2, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='unspent_tokens', full_name='token.CommandResponse.unspent_tokens', index=3, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ _descriptor.OneofDescriptor( name='payload', full_name='token.CommandResponse.payload', index=0, containing_type=None, fields=[]), ], serialized_start=1814, serialized_end=2019, ) _SIGNEDCOMMANDRESPONSE = _descriptor.Descriptor( name='SignedCommandResponse', full_name='token.SignedCommandResponse', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='response', full_name='token.SignedCommandResponse.response', index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='signature', full_name='token.SignedCommandResponse.signature', index=1, number=2, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=2021, serialized_end=2081, ) _TOKENOUTPUT.fields_by_name['id'].message_type = hfc_dot_protos_dot_token_dot_transaction__pb2._INPUTID _UNSPENTTOKENS.fields_by_name['tokens'].message_type = _TOKENOUTPUT _IMPORTREQUEST.fields_by_name['tokens_to_issue'].message_type = _TOKENTOISSUE _TRANSFERREQUEST.fields_by_name['token_ids'].message_type = hfc_dot_protos_dot_token_dot_transaction__pb2._INPUTID _TRANSFERREQUEST.fields_by_name['shares'].message_type = _RECIPIENTTRANSFERSHARE _REDEEMREQUEST.fields_by_name['token_ids'].message_type = hfc_dot_protos_dot_token_dot_transaction__pb2._INPUTID _APPROVEREQUEST.fields_by_name['allowance_shares'].message_type = _ALLOWANCERECIPIENTSHARE _APPROVEREQUEST.fields_by_name['token_ids'].message_type = hfc_dot_protos_dot_token_dot_transaction__pb2._INPUTID _EXPECTATIONREQUEST.fields_by_name['expectation'].message_type = hfc_dot_protos_dot_token_dot_expectations__pb2._TOKENEXPECTATION _EXPECTATIONREQUEST.fields_by_name['token_ids'].message_type = hfc_dot_protos_dot_token_dot_transaction__pb2._INPUTID _HEADER.fields_by_name['timestamp'].message_type = google_dot_protobuf_dot_timestamp__pb2._TIMESTAMP _COMMAND.fields_by_name['header'].message_type = _HEADER _COMMAND.fields_by_name['import_request'].message_type = _IMPORTREQUEST _COMMAND.fields_by_name['transfer_request'].message_type = _TRANSFERREQUEST _COMMAND.fields_by_name['list_request'].message_type = _LISTREQUEST _COMMAND.fields_by_name['redeem_request'].message_type = _REDEEMREQUEST _COMMAND.fields_by_name['approve_request'].message_type = _APPROVEREQUEST _COMMAND.fields_by_name['transfer_from_request'].message_type = _TRANSFERREQUEST _COMMAND.fields_by_name['expectation_request'].message_type = _EXPECTATIONREQUEST _COMMAND.oneofs_by_name['payload'].fields.append( _COMMAND.fields_by_name['import_request']) _COMMAND.fields_by_name['import_request'].containing_oneof = _COMMAND.oneofs_by_name['payload'] _COMMAND.oneofs_by_name['payload'].fields.append( _COMMAND.fields_by_name['transfer_request']) _COMMAND.fields_by_name['transfer_request'].containing_oneof = _COMMAND.oneofs_by_name['payload'] _COMMAND.oneofs_by_name['payload'].fields.append( _COMMAND.fields_by_name['list_request']) _COMMAND.fields_by_name['list_request'].containing_oneof = _COMMAND.oneofs_by_name['payload'] _COMMAND.oneofs_by_name['payload'].fields.append( _COMMAND.fields_by_name['redeem_request']) _COMMAND.fields_by_name['redeem_request'].containing_oneof = _COMMAND.oneofs_by_name['payload'] _COMMAND.oneofs_by_name['payload'].fields.append( _COMMAND.fields_by_name['approve_request']) _COMMAND.fields_by_name['approve_request'].containing_oneof = _COMMAND.oneofs_by_name['payload'] _COMMAND.oneofs_by_name['payload'].fields.append( _COMMAND.fields_by_name['transfer_from_request']) _COMMAND.fields_by_name['transfer_from_request'].containing_oneof = _COMMAND.oneofs_by_name['payload'] _COMMAND.oneofs_by_name['payload'].fields.append( _COMMAND.fields_by_name['expectation_request']) _COMMAND.fields_by_name['expectation_request'].containing_oneof = _COMMAND.oneofs_by_name['payload'] _COMMANDRESPONSEHEADER.fields_by_name['timestamp'].message_type = google_dot_protobuf_dot_timestamp__pb2._TIMESTAMP _COMMANDRESPONSE.fields_by_name['header'].message_type = _COMMANDRESPONSEHEADER _COMMANDRESPONSE.fields_by_name['err'].message_type = _ERROR _COMMANDRESPONSE.fields_by_name['token_transaction'].message_type = hfc_dot_protos_dot_token_dot_transaction__pb2._TOKENTRANSACTION _COMMANDRESPONSE.fields_by_name['unspent_tokens'].message_type = _UNSPENTTOKENS _COMMANDRESPONSE.oneofs_by_name['payload'].fields.append( _COMMANDRESPONSE.fields_by_name['err']) _COMMANDRESPONSE.fields_by_name['err'].containing_oneof = _COMMANDRESPONSE.oneofs_by_name['payload'] _COMMANDRESPONSE.oneofs_by_name['payload'].fields.append( _COMMANDRESPONSE.fields_by_name['token_transaction']) _COMMANDRESPONSE.fields_by_name['token_transaction'].containing_oneof = _COMMANDRESPONSE.oneofs_by_name['payload'] _COMMANDRESPONSE.oneofs_by_name['payload'].fields.append( _COMMANDRESPONSE.fields_by_name['unspent_tokens']) _COMMANDRESPONSE.fields_by_name['unspent_tokens'].containing_oneof = _COMMANDRESPONSE.oneofs_by_name['payload'] DESCRIPTOR.message_types_by_name['TokenToIssue'] = _TOKENTOISSUE DESCRIPTOR.message_types_by_name['RecipientTransferShare'] = _RECIPIENTTRANSFERSHARE DESCRIPTOR.message_types_by_name['TokenOutput'] = _TOKENOUTPUT DESCRIPTOR.message_types_by_name['UnspentTokens'] = _UNSPENTTOKENS DESCRIPTOR.message_types_by_name['ListRequest'] = _LISTREQUEST DESCRIPTOR.message_types_by_name['ImportRequest'] = _IMPORTREQUEST DESCRIPTOR.message_types_by_name['TransferRequest'] = _TRANSFERREQUEST DESCRIPTOR.message_types_by_name['RedeemRequest'] = _REDEEMREQUEST DESCRIPTOR.message_types_by_name['AllowanceRecipientShare'] = _ALLOWANCERECIPIENTSHARE DESCRIPTOR.message_types_by_name['ApproveRequest'] = _APPROVEREQUEST DESCRIPTOR.message_types_by_name['ExpectationRequest'] = _EXPECTATIONREQUEST DESCRIPTOR.message_types_by_name['Header'] = _HEADER DESCRIPTOR.message_types_by_name['Command'] = _COMMAND DESCRIPTOR.message_types_by_name['SignedCommand'] = _SIGNEDCOMMAND DESCRIPTOR.message_types_by_name['CommandResponseHeader'] = _COMMANDRESPONSEHEADER DESCRIPTOR.message_types_by_name['Error'] = _ERROR DESCRIPTOR.message_types_by_name['CommandResponse'] = _COMMANDRESPONSE DESCRIPTOR.message_types_by_name['SignedCommandResponse'] = _SIGNEDCOMMANDRESPONSE _sym_db.RegisterFileDescriptor(DESCRIPTOR) TokenToIssue = _reflection.GeneratedProtocolMessageType('TokenToIssue', (_message.Message,), dict( DESCRIPTOR = _TOKENTOISSUE, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.TokenToIssue) )) _sym_db.RegisterMessage(TokenToIssue) RecipientTransferShare = _reflection.GeneratedProtocolMessageType('RecipientTransferShare', (_message.Message,), dict( DESCRIPTOR = _RECIPIENTTRANSFERSHARE, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.RecipientTransferShare) )) _sym_db.RegisterMessage(RecipientTransferShare) TokenOutput = _reflection.GeneratedProtocolMessageType('TokenOutput', (_message.Message,), dict( DESCRIPTOR = _TOKENOUTPUT, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.TokenOutput) )) _sym_db.RegisterMessage(TokenOutput) UnspentTokens = _reflection.GeneratedProtocolMessageType('UnspentTokens', (_message.Message,), dict( DESCRIPTOR = _UNSPENTTOKENS, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.UnspentTokens) )) _sym_db.RegisterMessage(UnspentTokens) ListRequest = _reflection.GeneratedProtocolMessageType('ListRequest', (_message.Message,), dict( DESCRIPTOR = _LISTREQUEST, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.ListRequest) )) _sym_db.RegisterMessage(ListRequest) ImportRequest = _reflection.GeneratedProtocolMessageType('ImportRequest', (_message.Message,), dict( DESCRIPTOR = _IMPORTREQUEST, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.ImportRequest) )) _sym_db.RegisterMessage(ImportRequest) TransferRequest = _reflection.GeneratedProtocolMessageType('TransferRequest', (_message.Message,), dict( DESCRIPTOR = _TRANSFERREQUEST, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.TransferRequest) )) _sym_db.RegisterMessage(TransferRequest) RedeemRequest = _reflection.GeneratedProtocolMessageType('RedeemRequest', (_message.Message,), dict( DESCRIPTOR = _REDEEMREQUEST, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.RedeemRequest) )) _sym_db.RegisterMessage(RedeemRequest) AllowanceRecipientShare = _reflection.GeneratedProtocolMessageType('AllowanceRecipientShare', (_message.Message,), dict( DESCRIPTOR = _ALLOWANCERECIPIENTSHARE, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.AllowanceRecipientShare) )) _sym_db.RegisterMessage(AllowanceRecipientShare) ApproveRequest = _reflection.GeneratedProtocolMessageType('ApproveRequest', (_message.Message,), dict( DESCRIPTOR = _APPROVEREQUEST, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.ApproveRequest) )) _sym_db.RegisterMessage(ApproveRequest) ExpectationRequest = _reflection.GeneratedProtocolMessageType('ExpectationRequest', (_message.Message,), dict( DESCRIPTOR = _EXPECTATIONREQUEST, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.ExpectationRequest) )) _sym_db.RegisterMessage(ExpectationRequest) Header = _reflection.GeneratedProtocolMessageType('Header', (_message.Message,), dict( DESCRIPTOR = _HEADER, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.Header) )) _sym_db.RegisterMessage(Header) Command = _reflection.GeneratedProtocolMessageType('Command', (_message.Message,), dict( DESCRIPTOR = _COMMAND, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.Command) )) _sym_db.RegisterMessage(Command) SignedCommand = _reflection.GeneratedProtocolMessageType('SignedCommand', (_message.Message,), dict( DESCRIPTOR = _SIGNEDCOMMAND, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.SignedCommand) )) _sym_db.RegisterMessage(SignedCommand) CommandResponseHeader = _reflection.GeneratedProtocolMessageType('CommandResponseHeader', (_message.Message,), dict( DESCRIPTOR = _COMMANDRESPONSEHEADER, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.CommandResponseHeader) )) _sym_db.RegisterMessage(CommandResponseHeader) Error = _reflection.GeneratedProtocolMessageType('Error', (_message.Message,), dict( DESCRIPTOR = _ERROR, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.Error) )) _sym_db.RegisterMessage(Error) CommandResponse = _reflection.GeneratedProtocolMessageType('CommandResponse', (_message.Message,), dict( DESCRIPTOR = _COMMANDRESPONSE, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.CommandResponse) )) _sym_db.RegisterMessage(CommandResponse) SignedCommandResponse = _reflection.GeneratedProtocolMessageType('SignedCommandResponse', (_message.Message,), dict( DESCRIPTOR = _SIGNEDCOMMANDRESPONSE, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.SignedCommandResponse) )) _sym_db.RegisterMessage(SignedCommandResponse) DESCRIPTOR._options = None _PROVER = _descriptor.ServiceDescriptor( name='Prover', full_name='token.Prover', file=DESCRIPTOR, index=0, serialized_options=None, serialized_start=2083, serialized_end=2163, methods=[ _descriptor.MethodDescriptor( name='ProcessCommand', full_name='token.Prover.ProcessCommand', index=0, containing_service=None, input_type=_SIGNEDCOMMAND, output_type=_SIGNEDCOMMANDRESPONSE, serialized_options=None, ), ]) _sym_db.RegisterServiceDescriptor(_PROVER) DESCRIPTOR.services_by_name['Prover'] = _PROVER # @@protoc_insertion_point(module_scope)

40.430189

3,733

0.757584

# Generated by the protocol buffer compiler. DO NOT EDIT! # source: hfc/protos/token/prover.proto import sys _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() from google.protobuf import timestamp_pb2 as google_dot_protobuf_dot_timestamp__pb2 from hfc.protos.token import expectations_pb2 as hfc_dot_protos_dot_token_dot_expectations__pb2 from hfc.protos.token import transaction_pb2 as hfc_dot_protos_dot_token_dot_transaction__pb2 DESCRIPTOR = _descriptor.FileDescriptor( name='hfc/protos/token/prover.proto', package='token', syntax='proto3', serialized_options=_b('\n#org.hyperledger.fabric.protos.tokenZ*github.com/hyperledger/fabric/protos/token'), serialized_pb=_b('\n\x1dhfc/protos/token/prover.proto\x12\x05token\x1a\x1fgoogle/protobuf/timestamp.proto\x1a#hfc/protos/token/expectations.proto\x1a\"hfc/protos/token/transaction.proto\"A\n\x0cTokenToIssue\x12\x11\n\trecipient\x18\x01 \x01(\x0c\x12\x0c\n\x04type\x18\x02 \x01(\t\x12\x10\n\x08quantity\x18\x03 \x01(\x04\"=\n\x16RecipientTransferShare\x12\x11\n\trecipient\x18\x01 \x01(\x0c\x12\x10\n\x08quantity\x18\x02 \x01(\x04\"I\n\x0bTokenOutput\x12\x1a\n\x02id\x18\x01 \x01(\x0b\x32\x0e.token.InputId\x12\x0c\n\x04type\x18\x02 \x01(\t\x12\x10\n\x08quantity\x18\x03 \x01(\x04\"3\n\rUnspentTokens\x12\"\n\x06tokens\x18\x01 \x03(\x0b\x32\x12.token.TokenOutput\"!\n\x0bListRequest\x12\x12\n\ncredential\x18\x01 \x01(\x0c\"Q\n\rImportRequest\x12\x12\n\ncredential\x18\x01 \x01(\x0c\x12,\n\x0ftokens_to_issue\x18\x02 \x03(\x0b\x32\x13.token.TokenToIssue\"w\n\x0fTransferRequest\x12\x12\n\ncredential\x18\x01 \x01(\x0c\x12!\n\ttoken_ids\x18\x02 \x03(\x0b\x32\x0e.token.InputId\x12-\n\x06shares\x18\x03 \x03(\x0b\x32\x1d.token.RecipientTransferShare\"b\n\rRedeemRequest\x12\x12\n\ncredential\x18\x01 \x01(\x0c\x12!\n\ttoken_ids\x18\x02 \x03(\x0b\x32\x0e.token.InputId\x12\x1a\n\x12quantity_to_redeem\x18\x03 \x01(\x04\">\n\x17\x41llowanceRecipientShare\x12\x11\n\trecipient\x18\x01 \x01(\x0c\x12\x10\n\x08quantity\x18\x02 \x01(\x04\"\x81\x01\n\x0e\x41pproveRequest\x12\x12\n\ncredential\x18\x01 \x01(\x0c\x12\x38\n\x10\x61llowance_shares\x18\x02 \x03(\x0b\x32\x1e.token.AllowanceRecipientShare\x12!\n\ttoken_ids\x18\x03 \x03(\x0b\x32\x0e.token.InputId\"y\n\x12\x45xpectationRequest\x12\x12\n\ncredential\x18\x01 \x01(\x0c\x12,\n\x0b\x65xpectation\x18\x02 \x01(\x0b\x32\x17.token.TokenExpectation\x12!\n\ttoken_ids\x18\x03 \x03(\x0b\x32\x0e.token.InputId\"\x82\x01\n\x06Header\x12-\n\ttimestamp\x18\x01 \x01(\x0b\x32\x1a.google.protobuf.Timestamp\x12\x12\n\nchannel_id\x18\x02 \x01(\t\x12\r\n\x05nonce\x18\x03 \x01(\x0c\x12\x0f\n\x07\x63reator\x18\x04 \x01(\x0c\x12\x15\n\rtls_cert_hash\x18\x05 \x01(\x0c\"\x98\x03\n\x07\x43ommand\x12\x1d\n\x06header\x18\x01 \x01(\x0b\x32\r.token.Header\x12.\n\x0eimport_request\x18\x02 \x01(\x0b\x32\x14.token.ImportRequestH\x00\x12\x32\n\x10transfer_request\x18\x03 \x01(\x0b\x32\x16.token.TransferRequestH\x00\x12*\n\x0clist_request\x18\x04 \x01(\x0b\x32\x12.token.ListRequestH\x00\x12.\n\x0eredeem_request\x18\x05 \x01(\x0b\x32\x14.token.RedeemRequestH\x00\x12\x30\n\x0f\x61pprove_request\x18\x06 \x01(\x0b\x32\x15.token.ApproveRequestH\x00\x12\x37\n\x15transfer_from_request\x18\x07 \x01(\x0b\x32\x16.token.TransferRequestH\x00\x12\x38\n\x13\x65xpectation_request\x18\x08 \x01(\x0b\x32\x19.token.ExpectationRequestH\x00\x42\t\n\x07payload\"3\n\rSignedCommand\x12\x0f\n\x07\x63ommand\x18\x01 \x01(\x0c\x12\x11\n\tsignature\x18\x02 \x01(\x0c\"m\n\x15\x43ommandResponseHeader\x12-\n\ttimestamp\x18\x01 \x01(\x0b\x32\x1a.google.protobuf.Timestamp\x12\x14\n\x0c\x63ommand_hash\x18\x02 \x01(\x0c\x12\x0f\n\x07\x63reator\x18\x03 \x01(\x0c\")\n\x05\x45rror\x12\x0f\n\x07message\x18\x01 \x01(\t\x12\x0f\n\x07payload\x18\x02 \x01(\x0c\"\xcd\x01\n\x0f\x43ommandResponse\x12,\n\x06header\x18\x01 \x01(\x0b\x32\x1c.token.CommandResponseHeader\x12\x1b\n\x03\x65rr\x18\x02 \x01(\x0b\x32\x0c.token.ErrorH\x00\x12\x34\n\x11token_transaction\x18\x03 \x01(\x0b\x32\x17.token.TokenTransactionH\x00\x12.\n\x0eunspent_tokens\x18\x04 \x01(\x0b\x32\x14.token.UnspentTokensH\x00\x42\t\n\x07payload\"<\n\x15SignedCommandResponse\x12\x10\n\x08response\x18\x01 \x01(\x0c\x12\x11\n\tsignature\x18\x02 \x01(\x0c\x32P\n\x06Prover\x12\x46\n\x0eProcessCommand\x12\x14.token.SignedCommand\x1a\x1c.token.SignedCommandResponse\"\x00\x42Q\n#org.hyperledger.fabric.protos.tokenZ*github.com/hyperledger/fabric/protos/tokenb\x06proto3') , dependencies=[google_dot_protobuf_dot_timestamp__pb2.DESCRIPTOR,hfc_dot_protos_dot_token_dot_expectations__pb2.DESCRIPTOR,hfc_dot_protos_dot_token_dot_transaction__pb2.DESCRIPTOR,]) _TOKENTOISSUE = _descriptor.Descriptor( name='TokenToIssue', full_name='token.TokenToIssue', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='recipient', full_name='token.TokenToIssue.recipient', index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='type', full_name='token.TokenToIssue.type', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='quantity', full_name='token.TokenToIssue.quantity', index=2, number=3, type=4, cpp_type=4, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=146, serialized_end=211, ) _RECIPIENTTRANSFERSHARE = _descriptor.Descriptor( name='RecipientTransferShare', full_name='token.RecipientTransferShare', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='recipient', full_name='token.RecipientTransferShare.recipient', index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='quantity', full_name='token.RecipientTransferShare.quantity', index=1, number=2, type=4, cpp_type=4, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=213, serialized_end=274, ) _TOKENOUTPUT = _descriptor.Descriptor( name='TokenOutput', full_name='token.TokenOutput', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='id', full_name='token.TokenOutput.id', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='type', full_name='token.TokenOutput.type', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='quantity', full_name='token.TokenOutput.quantity', index=2, number=3, type=4, cpp_type=4, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=276, serialized_end=349, ) _UNSPENTTOKENS = _descriptor.Descriptor( name='UnspentTokens', full_name='token.UnspentTokens', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='tokens', full_name='token.UnspentTokens.tokens', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=351, serialized_end=402, ) _LISTREQUEST = _descriptor.Descriptor( name='ListRequest', full_name='token.ListRequest', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='credential', full_name='token.ListRequest.credential', index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=404, serialized_end=437, ) _IMPORTREQUEST = _descriptor.Descriptor( name='ImportRequest', full_name='token.ImportRequest', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='credential', full_name='token.ImportRequest.credential', index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='tokens_to_issue', full_name='token.ImportRequest.tokens_to_issue', index=1, number=2, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=439, serialized_end=520, ) _TRANSFERREQUEST = _descriptor.Descriptor( name='TransferRequest', full_name='token.TransferRequest', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='credential', full_name='token.TransferRequest.credential', index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='token_ids', full_name='token.TransferRequest.token_ids', index=1, number=2, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='shares', full_name='token.TransferRequest.shares', index=2, number=3, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=522, serialized_end=641, ) _REDEEMREQUEST = _descriptor.Descriptor( name='RedeemRequest', full_name='token.RedeemRequest', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='credential', full_name='token.RedeemRequest.credential', index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='token_ids', full_name='token.RedeemRequest.token_ids', index=1, number=2, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='quantity_to_redeem', full_name='token.RedeemRequest.quantity_to_redeem', index=2, number=3, type=4, cpp_type=4, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=643, serialized_end=741, ) _ALLOWANCERECIPIENTSHARE = _descriptor.Descriptor( name='AllowanceRecipientShare', full_name='token.AllowanceRecipientShare', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='recipient', full_name='token.AllowanceRecipientShare.recipient', index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='quantity', full_name='token.AllowanceRecipientShare.quantity', index=1, number=2, type=4, cpp_type=4, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=743, serialized_end=805, ) _APPROVEREQUEST = _descriptor.Descriptor( name='ApproveRequest', full_name='token.ApproveRequest', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='credential', full_name='token.ApproveRequest.credential', index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='allowance_shares', full_name='token.ApproveRequest.allowance_shares', index=1, number=2, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='token_ids', full_name='token.ApproveRequest.token_ids', index=2, number=3, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=808, serialized_end=937, ) _EXPECTATIONREQUEST = _descriptor.Descriptor( name='ExpectationRequest', full_name='token.ExpectationRequest', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='credential', full_name='token.ExpectationRequest.credential', index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='expectation', full_name='token.ExpectationRequest.expectation', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='token_ids', full_name='token.ExpectationRequest.token_ids', index=2, number=3, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=939, serialized_end=1060, ) _HEADER = _descriptor.Descriptor( name='Header', full_name='token.Header', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='timestamp', full_name='token.Header.timestamp', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='channel_id', full_name='token.Header.channel_id', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='nonce', full_name='token.Header.nonce', index=2, number=3, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='creator', full_name='token.Header.creator', index=3, number=4, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='tls_cert_hash', full_name='token.Header.tls_cert_hash', index=4, number=5, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1063, serialized_end=1193, ) _COMMAND = _descriptor.Descriptor( name='Command', full_name='token.Command', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='header', full_name='token.Command.header', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='import_request', full_name='token.Command.import_request', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='transfer_request', full_name='token.Command.transfer_request', index=2, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='list_request', full_name='token.Command.list_request', index=3, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='redeem_request', full_name='token.Command.redeem_request', index=4, number=5, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='approve_request', full_name='token.Command.approve_request', index=5, number=6, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='transfer_from_request', full_name='token.Command.transfer_from_request', index=6, number=7, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='expectation_request', full_name='token.Command.expectation_request', index=7, number=8, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ _descriptor.OneofDescriptor( name='payload', full_name='token.Command.payload', index=0, containing_type=None, fields=[]), ], serialized_start=1196, serialized_end=1604, ) _SIGNEDCOMMAND = _descriptor.Descriptor( name='SignedCommand', full_name='token.SignedCommand', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='command', full_name='token.SignedCommand.command', index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='signature', full_name='token.SignedCommand.signature', index=1, number=2, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1606, serialized_end=1657, ) _COMMANDRESPONSEHEADER = _descriptor.Descriptor( name='CommandResponseHeader', full_name='token.CommandResponseHeader', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='timestamp', full_name='token.CommandResponseHeader.timestamp', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='command_hash', full_name='token.CommandResponseHeader.command_hash', index=1, number=2, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='creator', full_name='token.CommandResponseHeader.creator', index=2, number=3, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1659, serialized_end=1768, ) _ERROR = _descriptor.Descriptor( name='Error', full_name='token.Error', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='message', full_name='token.Error.message', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='payload', full_name='token.Error.payload', index=1, number=2, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1770, serialized_end=1811, ) _COMMANDRESPONSE = _descriptor.Descriptor( name='CommandResponse', full_name='token.CommandResponse', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='header', full_name='token.CommandResponse.header', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='err', full_name='token.CommandResponse.err', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='token_transaction', full_name='token.CommandResponse.token_transaction', index=2, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='unspent_tokens', full_name='token.CommandResponse.unspent_tokens', index=3, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ _descriptor.OneofDescriptor( name='payload', full_name='token.CommandResponse.payload', index=0, containing_type=None, fields=[]), ], serialized_start=1814, serialized_end=2019, ) _SIGNEDCOMMANDRESPONSE = _descriptor.Descriptor( name='SignedCommandResponse', full_name='token.SignedCommandResponse', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='response', full_name='token.SignedCommandResponse.response', index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='signature', full_name='token.SignedCommandResponse.signature', index=1, number=2, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=2021, serialized_end=2081, ) _TOKENOUTPUT.fields_by_name['id'].message_type = hfc_dot_protos_dot_token_dot_transaction__pb2._INPUTID _UNSPENTTOKENS.fields_by_name['tokens'].message_type = _TOKENOUTPUT _IMPORTREQUEST.fields_by_name['tokens_to_issue'].message_type = _TOKENTOISSUE _TRANSFERREQUEST.fields_by_name['token_ids'].message_type = hfc_dot_protos_dot_token_dot_transaction__pb2._INPUTID _TRANSFERREQUEST.fields_by_name['shares'].message_type = _RECIPIENTTRANSFERSHARE _REDEEMREQUEST.fields_by_name['token_ids'].message_type = hfc_dot_protos_dot_token_dot_transaction__pb2._INPUTID _APPROVEREQUEST.fields_by_name['allowance_shares'].message_type = _ALLOWANCERECIPIENTSHARE _APPROVEREQUEST.fields_by_name['token_ids'].message_type = hfc_dot_protos_dot_token_dot_transaction__pb2._INPUTID _EXPECTATIONREQUEST.fields_by_name['expectation'].message_type = hfc_dot_protos_dot_token_dot_expectations__pb2._TOKENEXPECTATION _EXPECTATIONREQUEST.fields_by_name['token_ids'].message_type = hfc_dot_protos_dot_token_dot_transaction__pb2._INPUTID _HEADER.fields_by_name['timestamp'].message_type = google_dot_protobuf_dot_timestamp__pb2._TIMESTAMP _COMMAND.fields_by_name['header'].message_type = _HEADER _COMMAND.fields_by_name['import_request'].message_type = _IMPORTREQUEST _COMMAND.fields_by_name['transfer_request'].message_type = _TRANSFERREQUEST _COMMAND.fields_by_name['list_request'].message_type = _LISTREQUEST _COMMAND.fields_by_name['redeem_request'].message_type = _REDEEMREQUEST _COMMAND.fields_by_name['approve_request'].message_type = _APPROVEREQUEST _COMMAND.fields_by_name['transfer_from_request'].message_type = _TRANSFERREQUEST _COMMAND.fields_by_name['expectation_request'].message_type = _EXPECTATIONREQUEST _COMMAND.oneofs_by_name['payload'].fields.append( _COMMAND.fields_by_name['import_request']) _COMMAND.fields_by_name['import_request'].containing_oneof = _COMMAND.oneofs_by_name['payload'] _COMMAND.oneofs_by_name['payload'].fields.append( _COMMAND.fields_by_name['transfer_request']) _COMMAND.fields_by_name['transfer_request'].containing_oneof = _COMMAND.oneofs_by_name['payload'] _COMMAND.oneofs_by_name['payload'].fields.append( _COMMAND.fields_by_name['list_request']) _COMMAND.fields_by_name['list_request'].containing_oneof = _COMMAND.oneofs_by_name['payload'] _COMMAND.oneofs_by_name['payload'].fields.append( _COMMAND.fields_by_name['redeem_request']) _COMMAND.fields_by_name['redeem_request'].containing_oneof = _COMMAND.oneofs_by_name['payload'] _COMMAND.oneofs_by_name['payload'].fields.append( _COMMAND.fields_by_name['approve_request']) _COMMAND.fields_by_name['approve_request'].containing_oneof = _COMMAND.oneofs_by_name['payload'] _COMMAND.oneofs_by_name['payload'].fields.append( _COMMAND.fields_by_name['transfer_from_request']) _COMMAND.fields_by_name['transfer_from_request'].containing_oneof = _COMMAND.oneofs_by_name['payload'] _COMMAND.oneofs_by_name['payload'].fields.append( _COMMAND.fields_by_name['expectation_request']) _COMMAND.fields_by_name['expectation_request'].containing_oneof = _COMMAND.oneofs_by_name['payload'] _COMMANDRESPONSEHEADER.fields_by_name['timestamp'].message_type = google_dot_protobuf_dot_timestamp__pb2._TIMESTAMP _COMMANDRESPONSE.fields_by_name['header'].message_type = _COMMANDRESPONSEHEADER _COMMANDRESPONSE.fields_by_name['err'].message_type = _ERROR _COMMANDRESPONSE.fields_by_name['token_transaction'].message_type = hfc_dot_protos_dot_token_dot_transaction__pb2._TOKENTRANSACTION _COMMANDRESPONSE.fields_by_name['unspent_tokens'].message_type = _UNSPENTTOKENS _COMMANDRESPONSE.oneofs_by_name['payload'].fields.append( _COMMANDRESPONSE.fields_by_name['err']) _COMMANDRESPONSE.fields_by_name['err'].containing_oneof = _COMMANDRESPONSE.oneofs_by_name['payload'] _COMMANDRESPONSE.oneofs_by_name['payload'].fields.append( _COMMANDRESPONSE.fields_by_name['token_transaction']) _COMMANDRESPONSE.fields_by_name['token_transaction'].containing_oneof = _COMMANDRESPONSE.oneofs_by_name['payload'] _COMMANDRESPONSE.oneofs_by_name['payload'].fields.append( _COMMANDRESPONSE.fields_by_name['unspent_tokens']) _COMMANDRESPONSE.fields_by_name['unspent_tokens'].containing_oneof = _COMMANDRESPONSE.oneofs_by_name['payload'] DESCRIPTOR.message_types_by_name['TokenToIssue'] = _TOKENTOISSUE DESCRIPTOR.message_types_by_name['RecipientTransferShare'] = _RECIPIENTTRANSFERSHARE DESCRIPTOR.message_types_by_name['TokenOutput'] = _TOKENOUTPUT DESCRIPTOR.message_types_by_name['UnspentTokens'] = _UNSPENTTOKENS DESCRIPTOR.message_types_by_name['ListRequest'] = _LISTREQUEST DESCRIPTOR.message_types_by_name['ImportRequest'] = _IMPORTREQUEST DESCRIPTOR.message_types_by_name['TransferRequest'] = _TRANSFERREQUEST DESCRIPTOR.message_types_by_name['RedeemRequest'] = _REDEEMREQUEST DESCRIPTOR.message_types_by_name['AllowanceRecipientShare'] = _ALLOWANCERECIPIENTSHARE DESCRIPTOR.message_types_by_name['ApproveRequest'] = _APPROVEREQUEST DESCRIPTOR.message_types_by_name['ExpectationRequest'] = _EXPECTATIONREQUEST DESCRIPTOR.message_types_by_name['Header'] = _HEADER DESCRIPTOR.message_types_by_name['Command'] = _COMMAND DESCRIPTOR.message_types_by_name['SignedCommand'] = _SIGNEDCOMMAND DESCRIPTOR.message_types_by_name['CommandResponseHeader'] = _COMMANDRESPONSEHEADER DESCRIPTOR.message_types_by_name['Error'] = _ERROR DESCRIPTOR.message_types_by_name['CommandResponse'] = _COMMANDRESPONSE DESCRIPTOR.message_types_by_name['SignedCommandResponse'] = _SIGNEDCOMMANDRESPONSE _sym_db.RegisterFileDescriptor(DESCRIPTOR) TokenToIssue = _reflection.GeneratedProtocolMessageType('TokenToIssue', (_message.Message,), dict( DESCRIPTOR = _TOKENTOISSUE, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.TokenToIssue) )) _sym_db.RegisterMessage(TokenToIssue) RecipientTransferShare = _reflection.GeneratedProtocolMessageType('RecipientTransferShare', (_message.Message,), dict( DESCRIPTOR = _RECIPIENTTRANSFERSHARE, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.RecipientTransferShare) )) _sym_db.RegisterMessage(RecipientTransferShare) TokenOutput = _reflection.GeneratedProtocolMessageType('TokenOutput', (_message.Message,), dict( DESCRIPTOR = _TOKENOUTPUT, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.TokenOutput) )) _sym_db.RegisterMessage(TokenOutput) UnspentTokens = _reflection.GeneratedProtocolMessageType('UnspentTokens', (_message.Message,), dict( DESCRIPTOR = _UNSPENTTOKENS, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.UnspentTokens) )) _sym_db.RegisterMessage(UnspentTokens) ListRequest = _reflection.GeneratedProtocolMessageType('ListRequest', (_message.Message,), dict( DESCRIPTOR = _LISTREQUEST, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.ListRequest) )) _sym_db.RegisterMessage(ListRequest) ImportRequest = _reflection.GeneratedProtocolMessageType('ImportRequest', (_message.Message,), dict( DESCRIPTOR = _IMPORTREQUEST, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.ImportRequest) )) _sym_db.RegisterMessage(ImportRequest) TransferRequest = _reflection.GeneratedProtocolMessageType('TransferRequest', (_message.Message,), dict( DESCRIPTOR = _TRANSFERREQUEST, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.TransferRequest) )) _sym_db.RegisterMessage(TransferRequest) RedeemRequest = _reflection.GeneratedProtocolMessageType('RedeemRequest', (_message.Message,), dict( DESCRIPTOR = _REDEEMREQUEST, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.RedeemRequest) )) _sym_db.RegisterMessage(RedeemRequest) AllowanceRecipientShare = _reflection.GeneratedProtocolMessageType('AllowanceRecipientShare', (_message.Message,), dict( DESCRIPTOR = _ALLOWANCERECIPIENTSHARE, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.AllowanceRecipientShare) )) _sym_db.RegisterMessage(AllowanceRecipientShare) ApproveRequest = _reflection.GeneratedProtocolMessageType('ApproveRequest', (_message.Message,), dict( DESCRIPTOR = _APPROVEREQUEST, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.ApproveRequest) )) _sym_db.RegisterMessage(ApproveRequest) ExpectationRequest = _reflection.GeneratedProtocolMessageType('ExpectationRequest', (_message.Message,), dict( DESCRIPTOR = _EXPECTATIONREQUEST, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.ExpectationRequest) )) _sym_db.RegisterMessage(ExpectationRequest) Header = _reflection.GeneratedProtocolMessageType('Header', (_message.Message,), dict( DESCRIPTOR = _HEADER, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.Header) )) _sym_db.RegisterMessage(Header) Command = _reflection.GeneratedProtocolMessageType('Command', (_message.Message,), dict( DESCRIPTOR = _COMMAND, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.Command) )) _sym_db.RegisterMessage(Command) SignedCommand = _reflection.GeneratedProtocolMessageType('SignedCommand', (_message.Message,), dict( DESCRIPTOR = _SIGNEDCOMMAND, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.SignedCommand) )) _sym_db.RegisterMessage(SignedCommand) CommandResponseHeader = _reflection.GeneratedProtocolMessageType('CommandResponseHeader', (_message.Message,), dict( DESCRIPTOR = _COMMANDRESPONSEHEADER, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.CommandResponseHeader) )) _sym_db.RegisterMessage(CommandResponseHeader) Error = _reflection.GeneratedProtocolMessageType('Error', (_message.Message,), dict( DESCRIPTOR = _ERROR, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.Error) )) _sym_db.RegisterMessage(Error) CommandResponse = _reflection.GeneratedProtocolMessageType('CommandResponse', (_message.Message,), dict( DESCRIPTOR = _COMMANDRESPONSE, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.CommandResponse) )) _sym_db.RegisterMessage(CommandResponse) SignedCommandResponse = _reflection.GeneratedProtocolMessageType('SignedCommandResponse', (_message.Message,), dict( DESCRIPTOR = _SIGNEDCOMMANDRESPONSE, __module__ = 'hfc.protos.token.prover_pb2' # @@protoc_insertion_point(class_scope:token.SignedCommandResponse) )) _sym_db.RegisterMessage(SignedCommandResponse) DESCRIPTOR._options = None _PROVER = _descriptor.ServiceDescriptor( name='Prover', full_name='token.Prover', file=DESCRIPTOR, index=0, serialized_options=None, serialized_start=2083, serialized_end=2163, methods=[ _descriptor.MethodDescriptor( name='ProcessCommand', full_name='token.Prover.ProcessCommand', index=0, containing_service=None, input_type=_SIGNEDCOMMAND, output_type=_SIGNEDCOMMANDRESPONSE, serialized_options=None, ), ]) _sym_db.RegisterServiceDescriptor(_PROVER) DESCRIPTOR.services_by_name['Prover'] = _PROVER # @@protoc_insertion_point(module_scope)

0

98227190b48433b30a13ee88906b852b86929253

2,899

py

Python

instagram_scraper/auth/authentication.py

davidargylethacker/instagram-scraper

b58760d90aa492f8d7795da572e822d7047a52a5

[ "Unlicense" ]

null

instagram_scraper/auth/authentication.py

davidargylethacker/instagram-scraper

b58760d90aa492f8d7795da572e822d7047a52a5

[ "Unlicense" ]

null

instagram_scraper/auth/authentication.py

davidargylethacker/instagram-scraper

b58760d90aa492f8d7795da572e822d7047a52a5

[ "Unlicense" ]

null

import json import requests from instagram_scraper.constants import BASE_URL, STORIES_UA, LOGIN_URL, LOGOUT_URL CHROME_WIN_UA = 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.87 Safari/537.36'

38.653333

127

0.617799

import json import requests from instagram_scraper.constants import BASE_URL, STORIES_UA, LOGIN_URL, LOGOUT_URL CHROME_WIN_UA = 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.87 Safari/537.36' class Authentication(object): def __init__(self): self.logged_in = False self.session = None self.cookies = None def guest_login(self): """Authenticate as a guest/non-signed in user""" self.session = requests.Session() self.session.headers = {'user-agent': CHROME_WIN_UA} self.session.headers.update({'Referer': BASE_URL, 'user-agent': STORIES_UA}) request = self.session.get(BASE_URL) self.session.headers.update({'X-CSRFToken': request.cookies['csrftoken']}) self.session.headers.update({'user-agent': CHROME_WIN_UA}) def user_login(self, username, password): """Logs in to instagram.""" self.session = requests.Session() self.session.headers = {'user-agent': CHROME_WIN_UA} self.session.headers.update({'Referer': BASE_URL, 'user-agent': STORIES_UA}) req = self.session.get(BASE_URL) self.session.headers.update({'X-CSRFToken': req.cookies['csrftoken']}) login_data = {'username': username, 'password': password} login = self.session.post(LOGIN_URL, data=login_data, allow_redirects=True) self.session.headers.update({'X-CSRFToken': login.cookies['csrftoken']}) self.cookies = login.cookies login_text = json.loads(login.text) if login_text.get('authenticated') and login.status_code == 200: self.logged_in = True self.session.headers.update({'user-agent': CHROME_WIN_UA}) else: print('Login failed for ' + username) if 'checkpoint_url' in login_text: checkpoint_url = login_text.get('checkpoint_url') print('Please verify your account at ' + BASE_URL[0:-1] + checkpoint_url) if self.interactive is True: self.login_challenge(checkpoint_url) elif 'errors' in login_text: for count, error in enumerate(login_text['errors'].get('error')): count += 1 print('Session error %(count)s: "%(error)s"' % locals()) else: print(json.dumps(login_text)) def logout(self): """Logs out of instagram.""" if self.logged_in: try: logout_data = {'csrfmiddlewaretoken': self.cookies['csrftoken']} self.session.post(LOGOUT_URL, data=logout_data) self.logged_in = False except requests.exceptions.RequestException: print('Failed to log out') def session(self): return self.session() def cookies(self): return self.cookies

137

2,495

23

76e2b89bed1f1e5e61c69927513e3fe46864ced5

2,051

py

Python

assessor_mark2.py

piyushsingariya/assessor-series

263b5852b83689f25e03fb2efb174b1aa13c7cf2

[ "MIT" ]

1

2019-06-16T17:15:41.000Z

assessor_mark2.py

piyushsingariya/assessor-series

263b5852b83689f25e03fb2efb174b1aa13c7cf2

[ "MIT" ]

null

assessor_mark2.py

piyushsingariya/assessor-series

263b5852b83689f25e03fb2efb174b1aa13c7cf2

[ "MIT" ]

null

# Determining interface details with netfaces library # This script uses a number of functions to accomplish specific tasks # including get_networks, get_addresses, get_gateways and get_interfaces import netifaces import sys try: import netifaces except: sys.exit("[!] Install the netifaces library: pip install netifaces") gateways = {} network_ifaces={} # The second function identifies the gateways and return them as a dictionary # The third function identifies the addresses for each interface # This fourth fuction is actucally identifying the gateway IP from the dictionary provided # by the get_gateways function to the interface. gateways = get_gateways() network_ifaces = get_networks(gateways) print(network_ifaces)

33.080645

121

0.714286

# Determining interface details with netfaces library # This script uses a number of functions to accomplish specific tasks # including get_networks, get_addresses, get_gateways and get_interfaces import netifaces import sys try: import netifaces except: sys.exit("[!] Install the netifaces library: pip install netifaces") gateways = {} network_ifaces={} def get_interfaces(): interfaces = netifaces.interfaces() return interfaces # The second function identifies the gateways and return them as a dictionary def get_gateways(): gateway_dict = {} gws = netifaces.gateways() for gw in gws: try: gateway_iface = gws[gw][netifaces.AF_INET] gateway_ip, iface = gateway_iface[0], gateway_iface[1] gw_list = [gateway_ip, iface] gateway_dict[gw] = gw_list except: pass return gateway_dict # The third function identifies the addresses for each interface def get_addresses(interface): addrs = netifaces.ifaddresses(interface) link_addr = addrs[netifaces.AF_LINK] iface_addrs = addrs[netifaces.AF_INET] iface_dict = iface_addrs[0] link_dict = link_addr[0] hwaddr = link_dict.get('addr') iface_addr = iface_dict.get('addr') iface_broadcast = iface_dict.get('broadcast') iface_netmask = iface_dict.get('netmask') return hwaddr, iface_addr, iface_broadcast, iface_netmask # This fourth fuction is actucally identifying the gateway IP from the dictionary provided # by the get_gateways function to the interface. def get_networks(gateways_dict): networks_dict = {} for key, value in gateways.iteritems(): gatteway_ip, iface = value[0], value[1] hwaddress, addr, broadcast, netmask = get_addresses(iface) network = {'gateway': gatteway_ip, 'hwaddr': hwaddress, 'addr': addr, 'broadcast': broadcast, 'netmask': netmask} networks_dict[iface] = network return networks_dict gateways = get_gateways() network_ifaces = get_networks(gateways) print(network_ifaces)

1,216

0

93

1e458847a7ea5ac7e0e6b7cd0b13973ccc014c9c

1,180

py

Python

controllers/user.py

brianpesy/DevCamp

48576ef93a1a33d2ea0f2d3901bee77c158d8767

[ "BSD-3-Clause" ]

null

controllers/user.py

brianpesy/DevCamp

48576ef93a1a33d2ea0f2d3901bee77c158d8767

[ "BSD-3-Clause" ]

null

controllers/user.py

brianpesy/DevCamp

48576ef93a1a33d2ea0f2d3901bee77c158d8767

[ "BSD-3-Clause" ]

null

from helpers import functions from flask import Flask, request, session, url_for, redirect, \ render_template, abort, g, flash, _app_ctx_stack from werkzeug import check_password_hash, generate_password_hash def login(): """Logs the user in.""" if g.user: return redirect(functions.url_for('/')) error = None if request.method == 'POST': user = functions.query_db('''select * from user where username = ?''', [request.form['username']], one=True) if user is None: error = 'Invalid username' elif not check_password_hash(user['pw_hash'], request.form['password']): error = 'Invalid password' else: flash('You were logged in') session['user_id'] = user['user_id'] return redirect(functions.url_for('/')) return render_template('login.html', error=error) def register(): """Registers the user.""" return render_template('register.html') def logout(): """Logs the user out.""" flash('You were logged out') session.pop('user_id', None) return redirect(functions.url_for('/public'))

32.777778

66

0.611864

from helpers import functions from flask import Flask, request, session, url_for, redirect, \ render_template, abort, g, flash, _app_ctx_stack from werkzeug import check_password_hash, generate_password_hash def login(): """Logs the user in.""" if g.user: return redirect(functions.url_for('/')) error = None if request.method == 'POST': user = functions.query_db('''select * from user where username = ?''', [request.form['username']], one=True) if user is None: error = 'Invalid username' elif not check_password_hash(user['pw_hash'], request.form['password']): error = 'Invalid password' else: flash('You were logged in') session['user_id'] = user['user_id'] return redirect(functions.url_for('/')) return render_template('login.html', error=error) def register(): """Registers the user.""" return render_template('register.html') def logout(): """Logs the user out.""" flash('You were logged out') session.pop('user_id', None) return redirect(functions.url_for('/public'))

0

e706ff590d0748c75f079ded5d16403c7851b34f

42,001

py

Python

src/nanoSessionKontrol/ChannelStripController.py

lmarie23/nanoSessionKontrol

4a307464556734f03d4d073c377cebe1587d9316

[ "Apache-2.0" ]

1

2021-06-06T07:20:18.000Z

src/nanoSessionKontrol/ChannelStripController.py

lmarie23/nanoSessionKontrol

4a307464556734f03d4d073c377cebe1587d9316

[ "Apache-2.0" ]

null

src/nanoSessionKontrol/ChannelStripController.py

lmarie23/nanoSessionKontrol

4a307464556734f03d4d073c377cebe1587d9316

[ "Apache-2.0" ]

null

#Embedded file name: /Users/versonator/Hudson/live/Projects/AppLive/Resources/MIDI Remote Scripts/MackieControl/ChannelStripController.py from itertools import chain from .MHControlComponent import * from _Generic.Devices import * class ChannelStripController(MHControlComponent): """ Controls all channel-strips of the Mackie Control and controller extensions (Mackie Control XTs) if available: Maps and controls the faders, VPots and the displays depending on the assignemnt modes (Vol_Pan, PlugIn, IO, Send) and edit and flip mode. stack_offset vs. strip_index vs. bank_channel_offset: When using multiple sets of channel strips (stacking them), we will still only have one ChannelStripController which rules them all. To identify and seperate them, the implementation uses 3 different kind of indices or offsets: - strip_index: is the index of a channel_strip within its controller box, so strip no 1 on an extension (XT) and strip number one on the 'main' Mackie will both have a strip_index of 1. We need to preserve this index, because every device (extension or main controller will use a unique MIDI port to send out its MIDI messages which uses the strip_index, encoded into the MIDI messages channel, to tell the hardware which channel on the controller is meant. - stack_offset: descibes how many channels are left to the device that a channel_strip belongs to. For example: You have 3 Mackies: First, a XT, then the main Mackie, then another XT. The first XT will have the stack_index 0, the main Mackie, the stack_index 8, because 8 faders are on present before it. The second XT has a stack_index of 16 - bank_cha_offset: this shifts all available channel strips within all the tracks that should be controlled. For example: If you have a song with 32 tracks, and a main Mackie Control + a XT on the right, then you want to shift the first fader of the main Mackie to Track 16, to be able to control Track 16 to 32. The master channel strip is hardcoded and not in the list of "normal" channel_strips, because its always mapped to the master_volume. """ def set_controller_extensions(self, left_extensions, right_extensions): """ Called from the main script (after all scripts where initialized), to let us know where and how many MackieControlXT are installed. There exists only one ChannelStripController, so we will take care about the extensions channel strips """ self.__left_extensions = left_extensions self.__right_extensions = right_extensions self.__channel_strips = [] stack_offset = 0 for le in left_extensions: for s in le.channel_strips(): self.__channel_strips.append(s) s.set_stack_offset(stack_offset) stack_offset += NUM_CHANNEL_STRIPS for s in self.__own_channel_strips: self.__channel_strips.append(s) s.set_stack_offset(stack_offset) stack_offset += NUM_CHANNEL_STRIPS for re in right_extensions: for s in re.channel_strips(): self.__channel_strips.append(s) s.set_stack_offset(stack_offset) stack_offset += NUM_CHANNEL_STRIPS for s in self.__channel_strips: s.set_channel_strip_controller(self) self.refresh_state() def request_rebuild_midi_map(self): """ Overridden to call also the extensions request_rebuild_midi_map""" MHControlComponent.request_rebuild_midi_map(self) for ex in self.__left_extensions + self.__right_extensions: ex.request_rebuild_midi_map() def toggle_meter_mode(self): """ called from the main script when the display toggle button was pressed """ self.__meters_enabled = not self.__meters_enabled self.__apply_meter_mode() def handle_vpot_rotation(self, strip_index, stack_offset, cc_value): """ forwarded to us by the channel_strips """ if self.__assignment_mode == CSM_IO: if cc_value >= 64: direction = -1 else: direction = 1 channel_strip = self.__channel_strips[stack_offset + strip_index] current_routing = self.__routing_target(channel_strip) available_routings = self.__available_routing_targets(channel_strip) if current_routing and available_routings: if current_routing in available_routings: i = list(available_routings).index(current_routing) if direction == 1: new_i = min(len(available_routings) - 1, i + direction) else: new_i = max(0, i + direction) new_routing = available_routings[new_i] elif len(available_routings): new_routing = available_routings[0] self.__set_routing_target(channel_strip, new_routing) elif self.__assignment_mode == CSM_PLUGINS: pass else: channel_strip = self.__channel_strips[stack_offset + strip_index] raise not channel_strip.assigned_track() or not channel_strip.assigned_track().has_audio_output or AssertionError('in every other mode, the midimap should handle the messages') def handle_fader_touch(self, strip_offset, stack_offset, touched): """ forwarded to us by the channel_strips """ self.__reassign_channel_strip_parameters(for_display_only=True) def handle_pressed_v_pot(self, strip_index, stack_offset): """ forwarded to us by the channel_strips """ if self.__assignment_mode == CSM_VOLPAN or self.__assignment_mode == CSM_SENDS or self.__assignment_mode == CSM_PLUGINS and self.__plugin_mode == PCM_PARAMETERS: if stack_offset + strip_index in range(0, len(self.__channel_strips)): param = self.__channel_strips[stack_offset + strip_index].v_pot_parameter() if param and param.is_enabled: if param.is_quantized: if param.value + 1 > param.max: param.value = param.min else: param.value = param.value + 1 else: param.value = param.default_value elif self.__assignment_mode == CSM_PLUGINS: if self.__plugin_mode == PCM_DEVICES: device_index = strip_index + stack_offset + self.__plugin_mode_offsets[PCM_DEVICES] if device_index >= 0 and device_index < len(self.song().view.selected_track.devices): if self.__chosen_plugin != None: self.__chosen_plugin.remove_parameters_listener(self.__on_parameter_list_of_chosen_plugin_changed) self.__chosen_plugin = self.song().view.selected_track.devices[device_index] self.__chosen_plugin != None and self.__chosen_plugin.add_parameters_listener(self.__on_parameter_list_of_chosen_plugin_changed) self.__reorder_parameters() self.__plugin_mode_offsets[PCM_PARAMETERS] = 0 self.__set_plugin_mode(PCM_PARAMETERS) def __strip_offset(self): """ return the bank_channel offset depending if we are in return mode or not """ if self.__view_returns: return self.__bank_cha_offset_returns else: return self.__bank_cha_offset def __controlled_num_of_tracks(self): """ return the number of tracks, depending on if we are in send_track mode or normal track mode """ if self.__view_returns: return len(self.song().return_tracks) else: return len(self.song().visible_tracks) def __send_parameter(self, strip_index, stack_index): """ Return the send parameter that is assigned to the given channel strip """ if not self.__assignment_mode == CSM_SENDS: raise AssertionError send_index = strip_index + stack_index + self.__send_mode_offset p = send_index < len(self.song().view.selected_track.mixer_device.sends) and self.song().view.selected_track.mixer_device.sends[send_index] return (p, p.name) return (None, None) def __plugin_parameter(self, strip_index, stack_index): """ Return the parameter that is assigned to the given channel strip """ if not self.__assignment_mode == CSM_PLUGINS: raise AssertionError return self.__plugin_mode == PCM_DEVICES and (None, None) elif not (self.__plugin_mode == PCM_PARAMETERS and self.__chosen_plugin): raise AssertionError parameters = self.__ordered_plugin_parameters parameter_index = strip_index + stack_index + self.__plugin_mode_offsets[PCM_PARAMETERS] if parameter_index >= 0 and parameter_index < len(parameters): return parameters[parameter_index] else: return (None, None) else: raise 0 or AssertionError def __can_switch_to_prev_page(self): """ return true if pressing the "next" button will have any effect """ if self.__assignment_mode == CSM_PLUGINS: return self.__plugin_mode_offsets[self.__plugin_mode] > 0 elif self.__assignment_mode == CSM_SENDS: return self.__send_mode_offset > 0 else: return False def __can_switch_to_next_page(self): """ return true if pressing the "prev" button will have any effect """ if self.__assignment_mode == CSM_PLUGINS: sel_track = self.song().view.selected_track if self.__plugin_mode == PCM_DEVICES: return self.__plugin_mode_offsets[PCM_DEVICES] + len(self.__channel_strips) < len(sel_track.devices) elif not (self.__plugin_mode == PCM_PARAMETERS and self.__chosen_plugin): raise AssertionError parameters = self.__ordered_plugin_parameters return self.__plugin_mode_offsets[PCM_PARAMETERS] + len(self.__channel_strips) < len(parameters) else: raise 0 or AssertionError elif self.__assignment_mode == CSM_SENDS: return self.__send_mode_offset + len(self.__channel_strips) < len(self.song().return_tracks) else: return False def __set_channel_offset(self, new_offset): """ Set and validate a new channel_strip offset, which shifts all available channel strips within all the available tracks or reutrn tracks """ if new_offset < 0: new_offset = 0 elif new_offset >= self.__controlled_num_of_tracks(): new_offset = self.__controlled_num_of_tracks() - 1 if self.__view_returns: self.__bank_cha_offset_returns = new_offset else: self.__bank_cha_offset = new_offset self.__main_display_controller.set_channel_offset(new_offset) self.__reassign_channel_strip_offsets() self.__reassign_channel_strip_parameters(for_display_only=False) self.__update_channel_strip_strings() self.request_rebuild_midi_map() def __set_plugin_mode(self, new_mode): """ Set a new plugin sub-mode, which can be: 1. Choosing the device to control (PCM_DEVICES) 2. Controlling the chosen devices parameters (PCM_PARAMETERS) """ if not (new_mode >= 0 and new_mode < PCM_NUMMODES): raise AssertionError if self.__plugin_mode != new_mode: self.__plugin_mode = new_mode self.__reassign_channel_strip_parameters(for_display_only=False) self.request_rebuild_midi_map() self.__plugin_mode == PCM_DEVICES and self.__update_vpot_leds_in_plugins_device_choose_mode() else: for plugin in self.__displayed_plugins: if plugin != None: plugin.remove_name_listener(self.__update_plugin_names) self.__displayed_plugins = [] self.__update_page_switch_leds() self.__update_flip_led() self.__update_page_switch_leds() def __switch_to_prev_page(self): """ Switch to the previous page in the non track strip modes (choosing plugs, or controlling devices) """ if self.__can_switch_to_prev_page(): if self.__assignment_mode == CSM_PLUGINS: self.__plugin_mode_offsets[self.__plugin_mode] -= len(self.__channel_strips) if self.__plugin_mode == PCM_DEVICES: self.__update_vpot_leds_in_plugins_device_choose_mode() elif self.__assignment_mode == CSM_SENDS: self.__send_mode_offset -= len(self.__channel_strips) self.__reassign_channel_strip_parameters(for_display_only=False) self.__update_channel_strip_strings() self.__update_page_switch_leds() self.request_rebuild_midi_map() def __switch_to_next_page(self): """ Switch to the next page in the non track strip modes (choosing plugs, or controlling devices) """ if self.__can_switch_to_next_page(): if self.__assignment_mode == CSM_PLUGINS: self.__plugin_mode_offsets[self.__plugin_mode] += len(self.__channel_strips) if self.__plugin_mode == PCM_DEVICES: self.__update_vpot_leds_in_plugins_device_choose_mode() elif self.__assignment_mode == CSM_SENDS: self.__send_mode_offset += len(self.__channel_strips) else: raise 0 or AssertionError self.__reassign_channel_strip_parameters(for_display_only=False) self.__update_channel_strip_strings() self.__update_page_switch_leds() self.request_rebuild_midi_map() def __switch_to_next_io_mode(self): """ Step through the available IO modes (In/OutPut//Main/Sub) """ self.__sub_mode_in_io_mode += 1 if self.__sub_mode_in_io_mode > CSM_IO_LAST_MODE: self.__sub_mode_in_io_mode = CSM_IO_FIRST_MODE def __reassign_channel_strip_offsets(self): """ Update the channel strips bank_channel offset """ for s in self.__channel_strips: s.set_bank_and_channel_offset(self.__strip_offset(), self.__view_returns, self.__within_track_added_or_deleted) def __reassign_channel_strip_parameters(self, for_display_only): """ Reevaluate all v-pot/fader -> parameter assignments """ display_parameters = [] for s in self.__channel_strips: vpot_param = (None, None) slider_param = (None, None) vpot_display_mode = VPOT_DISPLAY_SINGLE_DOT slider_display_mode = VPOT_DISPLAY_SINGLE_DOT if self.__assignment_mode == CSM_VOLPAN: if s.assigned_track() and s.assigned_track().has_audio_output: vpot_param = (s.assigned_track().mixer_device.panning, 'Pan') vpot_display_mode = VPOT_DISPLAY_BOOST_CUT slider_param = (s.assigned_track().mixer_device.volume, 'Volume') slider_display_mode = VPOT_DISPLAY_WRAP elif self.__assignment_mode == CSM_PLUGINS: vpot_param = self.__plugin_parameter(s.strip_index(), s.stack_offset()) vpot_display_mode = VPOT_DISPLAY_WRAP if s.assigned_track() and s.assigned_track().has_audio_output: slider_param = (s.assigned_track().mixer_device.volume, 'Volume') slider_display_mode = VPOT_DISPLAY_WRAP elif self.__assignment_mode == CSM_SENDS: vpot_param = self.__send_parameter(s.strip_index(), s.stack_offset()) vpot_display_mode = VPOT_DISPLAY_WRAP if s.assigned_track() and s.assigned_track().has_audio_output: slider_param = (s.assigned_track().mixer_device.volume, 'Volume') slider_display_mode = VPOT_DISPLAY_WRAP elif self.__assignment_mode == CSM_IO: if s.assigned_track() and s.assigned_track().has_audio_output: slider_param = (s.assigned_track().mixer_device.volume, 'Volume') if self.__flip and self.__can_flip(): if self.__any_slider_is_touched(): display_parameters.append(vpot_param) else: display_parameters.append(slider_param) if not for_display_only: s.set_v_pot_parameter(slider_param[0], slider_display_mode) s.set_fader_parameter(vpot_param[0]) else: if self.__any_slider_is_touched(): display_parameters.append(slider_param) else: display_parameters.append(vpot_param) if not for_display_only: s.set_v_pot_parameter(vpot_param[0], vpot_display_mode) s.set_fader_parameter(slider_param[0]) self.__main_display_controller.set_channel_offset(self.__strip_offset()) if len(display_parameters): self.__main_display_controller.set_parameters(display_parameters) def __apply_meter_mode(self): """ Update the meter mode in the displays and channel strips """ enabled = self.__meters_enabled and self.__assignment_mode is CSM_VOLPAN for s in self.__channel_strips: s.enable_meter_mode(enabled) self.__main_display_controller.enable_meters(enabled) def __toggle_flip(self): """ En/Disable V-Pot / Fader flipping """ if self.__can_flip(): self.__flip = not self.__flip self.__on_flip_changed() def __toggle_view_returns(self): """ Toggle if we want to control the return tracks or normal tracks """ self.__view_returns = not self.__view_returns self.__update_view_returns_mode() def __update_assignment_mode_leds(self): """ Show which assignment mode is currently active """ if self.__assignment_mode == CSM_IO: sid_on_switch = SID_ASSIGNMENT_IO elif self.__assignment_mode == CSM_SENDS: sid_on_switch = SID_ASSIGNMENT_SENDS elif self.__assignment_mode == CSM_VOLPAN: sid_on_switch = SID_ASSIGNMENT_PAN elif self.__assignment_mode == CSM_PLUGINS: sid_on_switch = SID_ASSIGNMENT_PLUG_INS else: raise 0 or AssertionError sid_on_switch = None for s in (SID_ASSIGNMENT_IO, SID_ASSIGNMENT_SENDS, SID_ASSIGNMENT_PAN, SID_ASSIGNMENT_PLUG_INS): if s == sid_on_switch: self.send_midi((NOTE_ON_STATUS, s, BUTTON_STATE_ON)) else: self.send_midi((NOTE_ON_STATUS, s, BUTTON_STATE_OFF)) def __update_assignment_display(self): """ Cryptically label the current assignment mode in the 2char display above the assignment buttons """ if self.__assignment_mode == CSM_VOLPAN: ass_string = ['P', 'N'] else: if self.__assignment_mode == CSM_PLUGINS or self.__assignment_mode == CSM_SENDS: ass_string = self.__last_attached_selected_track == self.song().master_track and ['M', 'A'] for t in self.song().return_tracks: if t == self.__last_attached_selected_track: ass_string = ['R', chr(ord('A') + list(self.song().return_tracks).index(t))] break for t in self.song().visible_tracks: if t == self.__last_attached_selected_track: ass_string = list('%.2d' % min(99, list(self.song().visible_tracks).index(t) + 1)) break if not ass_string: raise AssertionError elif self.__assignment_mode == CSM_IO: if self.__sub_mode_in_io_mode == CSM_IO_MODE_INPUT_MAIN: ass_string = ['I', "'"] elif self.__sub_mode_in_io_mode == CSM_IO_MODE_INPUT_SUB: ass_string = ['I', ','] elif self.__sub_mode_in_io_mode == CSM_IO_MODE_OUTPUT_MAIN: ass_string = ['0', "'"] elif self.__sub_mode_in_io_mode == CSM_IO_MODE_OUTPUT_SUB: ass_string = ['0', ','] else: raise 0 or AssertionError else: raise 0 or AssertionError self.send_midi((CC_STATUS, 75, g7_seg_led_conv_table[ass_string[0]])) self.send_midi((CC_STATUS, 74, g7_seg_led_conv_table[ass_string[1]])) def __update_page_switch_leds(self): """ visualize if the "prev" an "next" buttons can be pressed """ if self.__can_switch_to_prev_page(): self.send_midi((NOTE_ON_STATUS, SID_ASSIGNMENT_EQ, BUTTON_STATE_ON)) else: self.send_midi((NOTE_ON_STATUS, SID_ASSIGNMENT_EQ, BUTTON_STATE_OFF)) if self.__can_switch_to_next_page(): self.send_midi((NOTE_ON_STATUS, SID_ASSIGNMENT_DYNAMIC, BUTTON_STATE_ON)) else: self.send_midi((NOTE_ON_STATUS, SID_ASSIGNMENT_DYNAMIC, BUTTON_STATE_OFF)) def __update_vpot_leds_in_plugins_device_choose_mode(self): """ To be called in assignment mode CSM_PLUGINS, submode PCM_DEVICES only: This will enlighten all poties which can be pressed to choose a device for editing, and unlight all poties where pressing will have no effect """ raise self.__assignment_mode == CSM_PLUGINS or AssertionError raise self.__plugin_mode == PCM_DEVICES or AssertionError sel_track = self.song().view.selected_track count = 0 for s in self.__channel_strips: offset = self.__plugin_mode_offsets[self.__plugin_mode] if sel_track and offset + count >= 0 and offset + count < len(sel_track.devices): s.show_full_enlighted_poti() else: s.unlight_vpot_leds() count += 1 def __update_channel_strip_strings(self): """ In IO mode, collect all strings that will be visible in the main display manually """ if not self.__any_slider_is_touched(): if self.__assignment_mode == CSM_IO: targets = [] for s in self.__channel_strips: if self.__routing_target(s): targets.append(self.__routing_target(s)) else: targets.append('') self.__main_display_controller.set_channel_strip_strings(targets) elif self.__assignment_mode == CSM_PLUGINS and self.__plugin_mode == PCM_DEVICES: for plugin in self.__displayed_plugins: if plugin != None: plugin.remove_name_listener(self.__update_plugin_names) self.__displayed_plugins = [] sel_track = self.song().view.selected_track for i in range(len(self.__channel_strips)): device_index = i + self.__plugin_mode_offsets[PCM_DEVICES] if device_index >= 0 and device_index < len(sel_track.devices): sel_track.devices[device_index].add_name_listener(self.__update_plugin_names) self.__displayed_plugins.append(sel_track.devices[device_index]) else: self.__displayed_plugins.append(None) self.__update_plugin_names() def __update_view_returns_mode(self): """ Update the control return tracks LED """ if self.__view_returns: self.send_midi((NOTE_ON_STATUS, SID_FADERBANK_EDIT, BUTTON_STATE_ON)) else: self.send_midi((NOTE_ON_STATUS, SID_FADERBANK_EDIT, BUTTON_STATE_OFF)) self.__main_display_controller.set_show_return_track_names(self.__view_returns) self.__reassign_channel_strip_offsets() self.__reassign_channel_strip_parameters(for_display_only=False) self.request_rebuild_midi_map() def __on_selected_track_changed(self): """ Notifier, called as soon as the selected track has changed """ st = self.__last_attached_selected_track if st and st.devices_has_listener(self.__on_selected_device_chain_changed): st.remove_devices_listener(self.__on_selected_device_chain_changed) self.__last_attached_selected_track = self.song().view.selected_track st = self.__last_attached_selected_track if st: st.add_devices_listener(self.__on_selected_device_chain_changed) if self.__assignment_mode == CSM_PLUGINS: self.__plugin_mode_offsets = [ 0 for x in range(PCM_NUMMODES) ] if self.__chosen_plugin != None: self.__chosen_plugin.remove_parameters_listener(self.__on_parameter_list_of_chosen_plugin_changed) self.__chosen_plugin = None self.__ordered_plugin_parameters = [] self.__update_assignment_display() if self.__plugin_mode == PCM_DEVICES: self.__update_vpot_leds_in_plugins_device_choose_mode() else: self.__set_plugin_mode(PCM_DEVICES) elif self.__assignment_mode == CSM_SENDS: self.__reassign_channel_strip_parameters(for_display_only=False) self.__update_assignment_display() self.request_rebuild_midi_map() def __on_flip_changed(self): """ Update the flip button LED when the flip mode changed """ self.__update_flip_led() if self.__can_flip(): self.__update_assignment_display() self.__reassign_channel_strip_parameters(for_display_only=False) self.request_rebuild_midi_map() def __on_tracks_added_or_deleted(self): """ Notifier, called as soon as tracks where added, removed or moved """ self.__within_track_added_or_deleted = True for t in chain(self.song().visible_tracks, self.song().return_tracks): if not t.solo_has_listener(self.__update_rude_solo_led): t.add_solo_listener(self.__update_rude_solo_led) if not t.has_audio_output_has_listener(self.__on_any_tracks_output_type_changed): t.add_has_audio_output_listener(self.__on_any_tracks_output_type_changed) if self.__send_mode_offset >= len(self.song().return_tracks): self.__send_mode_offset = 0 self.__reassign_channel_strip_parameters(for_display_only=False) self.__update_channel_strip_strings() if self.__strip_offset() + len(self.__channel_strips) >= self.__controlled_num_of_tracks(): self.__set_channel_offset(max(0, self.__controlled_num_of_tracks() - len(self.__channel_strips))) self.__reassign_channel_strip_parameters(for_display_only=False) self.__update_channel_strip_strings() if self.__assignment_mode == CSM_SENDS: self.__update_page_switch_leds() self.refresh_state() self.__main_display_controller.refresh_state() self.__within_track_added_or_deleted = False self.request_rebuild_midi_map() def __on_any_tracks_output_type_changed(self): """ called as soon as any device chain has changed (devices where added/removed/swapped...) """ self.__reassign_channel_strip_parameters(for_display_only=False) self.request_rebuild_midi_map()

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#Embedded file name: /Users/versonator/Hudson/live/Projects/AppLive/Resources/MIDI Remote Scripts/MackieControl/ChannelStripController.py from itertools import chain from .MHControlComponent import * from _Generic.Devices import * class ChannelStripController(MHControlComponent): """ Controls all channel-strips of the Mackie Control and controller extensions (Mackie Control XTs) if available: Maps and controls the faders, VPots and the displays depending on the assignemnt modes (Vol_Pan, PlugIn, IO, Send) and edit and flip mode. stack_offset vs. strip_index vs. bank_channel_offset: When using multiple sets of channel strips (stacking them), we will still only have one ChannelStripController which rules them all. To identify and seperate them, the implementation uses 3 different kind of indices or offsets: - strip_index: is the index of a channel_strip within its controller box, so strip no 1 on an extension (XT) and strip number one on the 'main' Mackie will both have a strip_index of 1. We need to preserve this index, because every device (extension or main controller will use a unique MIDI port to send out its MIDI messages which uses the strip_index, encoded into the MIDI messages channel, to tell the hardware which channel on the controller is meant. - stack_offset: descibes how many channels are left to the device that a channel_strip belongs to. For example: You have 3 Mackies: First, a XT, then the main Mackie, then another XT. The first XT will have the stack_index 0, the main Mackie, the stack_index 8, because 8 faders are on present before it. The second XT has a stack_index of 16 - bank_cha_offset: this shifts all available channel strips within all the tracks that should be controlled. For example: If you have a song with 32 tracks, and a main Mackie Control + a XT on the right, then you want to shift the first fader of the main Mackie to Track 16, to be able to control Track 16 to 32. The master channel strip is hardcoded and not in the list of "normal" channel_strips, because its always mapped to the master_volume. """ def __init__(self, main_script, channel_strips, master_strip, main_display_controller): MHControlComponent.__init__(self, main_script) self.__left_extensions = [] self.__right_extensions = [] self.__own_channel_strips = channel_strips self.__master_strip = master_strip self.__channel_strips = channel_strips self.__main_display_controller = main_display_controller self.__meters_enabled = False self.__assignment_mode = CSM_VOLPAN self.__sub_mode_in_io_mode = CSM_IO_FIRST_MODE self.__plugin_mode = PCM_DEVICES self.__plugin_mode_offsets = [ 0 for x in range(PCM_NUMMODES) ] self.__chosen_plugin = None self.__ordered_plugin_parameters = [] self.__displayed_plugins = [] self.__last_attached_selected_track = None self.__send_mode_offset = 0 self.__flip = False self.__view_returns = False self.__bank_cha_offset = 0 self.__bank_cha_offset_returns = 0 self.__within_track_added_or_deleted = False self.song().add_visible_tracks_listener(self.__on_tracks_added_or_deleted) self.song().view.add_selected_track_listener(self.__on_selected_track_changed) for t in chain(self.song().visible_tracks, self.song().return_tracks): if not t.solo_has_listener(self.__update_rude_solo_led): t.add_solo_listener(self.__update_rude_solo_led) if not t.has_audio_output_has_listener(self.__on_any_tracks_output_type_changed): t.add_has_audio_output_listener(self.__on_any_tracks_output_type_changed) self.__on_selected_track_changed() for s in self.__own_channel_strips: s.set_channel_strip_controller(self) self.__reassign_channel_strip_offsets() self.__reassign_channel_strip_parameters(for_display_only=False) def destroy(self): self.song().remove_visible_tracks_listener(self.__on_tracks_added_or_deleted) self.song().view.remove_selected_track_listener(self.__on_selected_track_changed) for t in chain(self.song().visible_tracks, self.song().return_tracks): if t.solo_has_listener(self.__update_rude_solo_led): t.remove_solo_listener(self.__update_rude_solo_led) if t.has_audio_output_has_listener(self.__on_any_tracks_output_type_changed): t.remove_has_audio_output_listener(self.__on_any_tracks_output_type_changed) st = self.__last_attached_selected_track if st and st.devices_has_listener(self.__on_selected_device_chain_changed): st.remove_devices_listener(self.__on_selected_device_chain_changed) for note in channel_strip_assignment_switch_ids: self.send_midi((NOTE_ON_STATUS, note, BUTTON_STATE_OFF)) for note in channel_strip_control_switch_ids: self.send_midi((NOTE_ON_STATUS, note, BUTTON_STATE_OFF)) self.send_midi((NOTE_ON_STATUS, SELECT_RUDE_SOLO, BUTTON_STATE_OFF)) self.send_midi((CC_STATUS, 75, g7_seg_led_conv_table[' '])) self.send_midi((CC_STATUS, 74, g7_seg_led_conv_table[' '])) MHControlComponent.destroy(self) def set_controller_extensions(self, left_extensions, right_extensions): """ Called from the main script (after all scripts where initialized), to let us know where and how many MackieControlXT are installed. There exists only one ChannelStripController, so we will take care about the extensions channel strips """ self.__left_extensions = left_extensions self.__right_extensions = right_extensions self.__channel_strips = [] stack_offset = 0 for le in left_extensions: for s in le.channel_strips(): self.__channel_strips.append(s) s.set_stack_offset(stack_offset) stack_offset += NUM_CHANNEL_STRIPS for s in self.__own_channel_strips: self.__channel_strips.append(s) s.set_stack_offset(stack_offset) stack_offset += NUM_CHANNEL_STRIPS for re in right_extensions: for s in re.channel_strips(): self.__channel_strips.append(s) s.set_stack_offset(stack_offset) stack_offset += NUM_CHANNEL_STRIPS for s in self.__channel_strips: s.set_channel_strip_controller(self) self.refresh_state() def refresh_state(self): self.__update_assignment_mode_leds() self.__update_assignment_display() self.__update_rude_solo_led() self.__reassign_channel_strip_offsets() self.__on_flip_changed() self.__update_view_returns_mode() def request_rebuild_midi_map(self): """ Overridden to call also the extensions request_rebuild_midi_map""" MHControlComponent.request_rebuild_midi_map(self) for ex in self.__left_extensions + self.__right_extensions: ex.request_rebuild_midi_map() def on_update_display_timer(self): self.__update_channel_strip_strings() def toggle_meter_mode(self): """ called from the main script when the display toggle button was pressed """ self.__meters_enabled = not self.__meters_enabled self.__apply_meter_mode() def handle_assignment_switch_ids(self, switch_id, value): if switch_id == SID_ASSIGNMENT_IO: if value == BUTTON_PRESSED: self.__set_assignment_mode(CSM_IO) elif switch_id == SID_ASSIGNMENT_SENDS: if value == BUTTON_PRESSED: self.__set_assignment_mode(CSM_SENDS) elif switch_id == SID_ASSIGNMENT_PAN: if value == BUTTON_PRESSED: self.__set_assignment_mode(CSM_VOLPAN) elif switch_id == SID_ASSIGNMENT_PLUG_INS: if value == BUTTON_PRESSED: self.__set_assignment_mode(CSM_PLUGINS) elif switch_id == SID_ASSIGNMENT_EQ: if value == BUTTON_PRESSED: self.__switch_to_prev_page() elif switch_id == SID_ASSIGNMENT_DYNAMIC: if value == BUTTON_PRESSED: self.__switch_to_next_page() elif switch_id == SID_FADERBANK_PREV_BANK: if value == BUTTON_PRESSED: print('Previous scene') self.song().undo() #MH #MH if self.shift_is_pressed(): #MH self.__set_channel_offset(0) #MH else: #MH self.__set_channel_offset(self.__strip_offset() - len(self.__channel_strips)) elif switch_id == SID_FADERBANK_NEXT_BANK: if value == BUTTON_PRESSED: print('Next scene') self.song().redo() #MH #MH if self.shift_is_pressed(): #MH last_possible_offset = (self.__controlled_num_of_tracks() - self.__strip_offset()) / len(self.__channel_strips) * len(self.__channel_strips) + self.__strip_offset() #MH if last_possible_offset == self.__controlled_num_of_tracks(): #MH last_possible_offset -= len(self.__channel_strips) #MH self.__set_channel_offset(last_possible_offset) #MH elif self.__strip_offset() < self.__controlled_num_of_tracks() - len(self.__channel_strips): #MH self.__set_channel_offset(self.__strip_offset() + len(self.__channel_strips)) elif switch_id == SID_FADERBANK_PREV_CH: if value == BUTTON_PRESSED: if self.shift_is_pressed(): self.__set_channel_offset(0) else: self.__set_channel_offset(self.__strip_offset() - 1) elif switch_id == SID_FADERBANK_NEXT_CH: if value == BUTTON_PRESSED: if self.shift_is_pressed(): self.__set_channel_offset(self.__controlled_num_of_tracks() - len(self.__channel_strips)) elif self.__strip_offset() < self.__controlled_num_of_tracks() - len(self.__channel_strips): self.__set_channel_offset(self.__strip_offset() + 1) elif switch_id == SID_FADERBANK_FLIP: if value == BUTTON_PRESSED: self.__toggle_flip() elif switch_id == SID_FADERBANK_EDIT: if value == BUTTON_PRESSED: self.__toggle_view_returns() def handle_vpot_rotation(self, strip_index, stack_offset, cc_value): """ forwarded to us by the channel_strips """ if self.__assignment_mode == CSM_IO: if cc_value >= 64: direction = -1 else: direction = 1 channel_strip = self.__channel_strips[stack_offset + strip_index] current_routing = self.__routing_target(channel_strip) available_routings = self.__available_routing_targets(channel_strip) if current_routing and available_routings: if current_routing in available_routings: i = list(available_routings).index(current_routing) if direction == 1: new_i = min(len(available_routings) - 1, i + direction) else: new_i = max(0, i + direction) new_routing = available_routings[new_i] elif len(available_routings): new_routing = available_routings[0] self.__set_routing_target(channel_strip, new_routing) elif self.__assignment_mode == CSM_PLUGINS: pass else: channel_strip = self.__channel_strips[stack_offset + strip_index] raise not channel_strip.assigned_track() or not channel_strip.assigned_track().has_audio_output or AssertionError('in every other mode, the midimap should handle the messages') def handle_fader_touch(self, strip_offset, stack_offset, touched): """ forwarded to us by the channel_strips """ self.__reassign_channel_strip_parameters(for_display_only=True) def handle_pressed_v_pot(self, strip_index, stack_offset): """ forwarded to us by the channel_strips """ if self.__assignment_mode == CSM_VOLPAN or self.__assignment_mode == CSM_SENDS or self.__assignment_mode == CSM_PLUGINS and self.__plugin_mode == PCM_PARAMETERS: if stack_offset + strip_index in range(0, len(self.__channel_strips)): param = self.__channel_strips[stack_offset + strip_index].v_pot_parameter() if param and param.is_enabled: if param.is_quantized: if param.value + 1 > param.max: param.value = param.min else: param.value = param.value + 1 else: param.value = param.default_value elif self.__assignment_mode == CSM_PLUGINS: if self.__plugin_mode == PCM_DEVICES: device_index = strip_index + stack_offset + self.__plugin_mode_offsets[PCM_DEVICES] if device_index >= 0 and device_index < len(self.song().view.selected_track.devices): if self.__chosen_plugin != None: self.__chosen_plugin.remove_parameters_listener(self.__on_parameter_list_of_chosen_plugin_changed) self.__chosen_plugin = self.song().view.selected_track.devices[device_index] self.__chosen_plugin != None and self.__chosen_plugin.add_parameters_listener(self.__on_parameter_list_of_chosen_plugin_changed) self.__reorder_parameters() self.__plugin_mode_offsets[PCM_PARAMETERS] = 0 self.__set_plugin_mode(PCM_PARAMETERS) def __strip_offset(self): """ return the bank_channel offset depending if we are in return mode or not """ if self.__view_returns: return self.__bank_cha_offset_returns else: return self.__bank_cha_offset def __controlled_num_of_tracks(self): """ return the number of tracks, depending on if we are in send_track mode or normal track mode """ if self.__view_returns: return len(self.song().return_tracks) else: return len(self.song().visible_tracks) def __send_parameter(self, strip_index, stack_index): """ Return the send parameter that is assigned to the given channel strip """ if not self.__assignment_mode == CSM_SENDS: raise AssertionError send_index = strip_index + stack_index + self.__send_mode_offset p = send_index < len(self.song().view.selected_track.mixer_device.sends) and self.song().view.selected_track.mixer_device.sends[send_index] return (p, p.name) return (None, None) def __plugin_parameter(self, strip_index, stack_index): """ Return the parameter that is assigned to the given channel strip """ if not self.__assignment_mode == CSM_PLUGINS: raise AssertionError return self.__plugin_mode == PCM_DEVICES and (None, None) elif not (self.__plugin_mode == PCM_PARAMETERS and self.__chosen_plugin): raise AssertionError parameters = self.__ordered_plugin_parameters parameter_index = strip_index + stack_index + self.__plugin_mode_offsets[PCM_PARAMETERS] if parameter_index >= 0 and parameter_index < len(parameters): return parameters[parameter_index] else: return (None, None) else: raise 0 or AssertionError def __any_slider_is_touched(self): for s in self.__channel_strips: if s.is_touched(): return True return False def __can_flip(self): if self.__assignment_mode == CSM_PLUGINS and self.__plugin_mode == PCM_DEVICES: return False elif self.__assignment_mode == CSM_IO: return False return True def __can_switch_to_prev_page(self): """ return true if pressing the "next" button will have any effect """ if self.__assignment_mode == CSM_PLUGINS: return self.__plugin_mode_offsets[self.__plugin_mode] > 0 elif self.__assignment_mode == CSM_SENDS: return self.__send_mode_offset > 0 else: return False def __can_switch_to_next_page(self): """ return true if pressing the "prev" button will have any effect """ if self.__assignment_mode == CSM_PLUGINS: sel_track = self.song().view.selected_track if self.__plugin_mode == PCM_DEVICES: return self.__plugin_mode_offsets[PCM_DEVICES] + len(self.__channel_strips) < len(sel_track.devices) elif not (self.__plugin_mode == PCM_PARAMETERS and self.__chosen_plugin): raise AssertionError parameters = self.__ordered_plugin_parameters return self.__plugin_mode_offsets[PCM_PARAMETERS] + len(self.__channel_strips) < len(parameters) else: raise 0 or AssertionError elif self.__assignment_mode == CSM_SENDS: return self.__send_mode_offset + len(self.__channel_strips) < len(self.song().return_tracks) else: return False def __available_routing_targets(self, channel_strip): raise self.__assignment_mode == CSM_IO or AssertionError t = channel_strip.assigned_track() if t: if self.__sub_mode_in_io_mode == CSM_IO_MODE_INPUT_MAIN: return t.input_routings elif self.__sub_mode_in_io_mode == CSM_IO_MODE_INPUT_SUB: return t.input_sub_routings elif self.__sub_mode_in_io_mode == CSM_IO_MODE_OUTPUT_MAIN: return t.output_routings elif self.__sub_mode_in_io_mode == CSM_IO_MODE_OUTPUT_SUB: return t.output_sub_routings else: raise 0 or AssertionError else: return None def __routing_target(self, channel_strip): raise self.__assignment_mode == CSM_IO or AssertionError t = channel_strip.assigned_track() if t: if self.__sub_mode_in_io_mode == CSM_IO_MODE_INPUT_MAIN: return t.current_input_routing elif self.__sub_mode_in_io_mode == CSM_IO_MODE_INPUT_SUB: return t.current_input_sub_routing elif self.__sub_mode_in_io_mode == CSM_IO_MODE_OUTPUT_MAIN: return t.current_output_routing elif self.__sub_mode_in_io_mode == CSM_IO_MODE_OUTPUT_SUB: return t.current_output_sub_routing else: raise 0 or AssertionError else: return None def __set_routing_target(self, channel_strip, target_string): raise self.__assignment_mode == CSM_IO or AssertionError t = channel_strip.assigned_track() if t: if self.__sub_mode_in_io_mode == CSM_IO_MODE_INPUT_MAIN: t.current_input_routing = target_string elif self.__sub_mode_in_io_mode == CSM_IO_MODE_INPUT_SUB: t.current_input_sub_routing = target_string elif self.__sub_mode_in_io_mode == CSM_IO_MODE_OUTPUT_MAIN: t.current_output_routing = target_string elif self.__sub_mode_in_io_mode == CSM_IO_MODE_OUTPUT_SUB: t.current_output_sub_routing = target_string else: raise 0 or AssertionError def __set_channel_offset(self, new_offset): """ Set and validate a new channel_strip offset, which shifts all available channel strips within all the available tracks or reutrn tracks """ if new_offset < 0: new_offset = 0 elif new_offset >= self.__controlled_num_of_tracks(): new_offset = self.__controlled_num_of_tracks() - 1 if self.__view_returns: self.__bank_cha_offset_returns = new_offset else: self.__bank_cha_offset = new_offset self.__main_display_controller.set_channel_offset(new_offset) self.__reassign_channel_strip_offsets() self.__reassign_channel_strip_parameters(for_display_only=False) self.__update_channel_strip_strings() self.request_rebuild_midi_map() def __set_assignment_mode(self, mode): for plugin in self.__displayed_plugins: if plugin != None: plugin.remove_name_listener(self.__update_plugin_names) self.__displayed_plugins = [] if mode == CSM_PLUGINS: self.__assignment_mode = mode self.__main_display_controller.set_show_parameter_names(True) self.__set_plugin_mode(PCM_DEVICES) elif mode == CSM_SENDS: self.__main_display_controller.set_show_parameter_names(True) self.__assignment_mode = mode else: if mode == CSM_IO: for s in self.__channel_strips: s.unlight_vpot_leds() self.__main_display_controller.set_show_parameter_names(False) if self.__assignment_mode != mode: self.__assignment_mode = mode elif self.__assignment_mode == CSM_IO: self.__switch_to_next_io_mode() self.__update_assignment_mode_leds() self.__update_assignment_display() self.__apply_meter_mode() self.__reassign_channel_strip_parameters(for_display_only=False) self.__update_channel_strip_strings() self.__update_page_switch_leds() if mode == CSM_PLUGINS: self.__update_vpot_leds_in_plugins_device_choose_mode() self.__update_flip_led() self.request_rebuild_midi_map() def __set_plugin_mode(self, new_mode): """ Set a new plugin sub-mode, which can be: 1. Choosing the device to control (PCM_DEVICES) 2. Controlling the chosen devices parameters (PCM_PARAMETERS) """ if not (new_mode >= 0 and new_mode < PCM_NUMMODES): raise AssertionError if self.__plugin_mode != new_mode: self.__plugin_mode = new_mode self.__reassign_channel_strip_parameters(for_display_only=False) self.request_rebuild_midi_map() self.__plugin_mode == PCM_DEVICES and self.__update_vpot_leds_in_plugins_device_choose_mode() else: for plugin in self.__displayed_plugins: if plugin != None: plugin.remove_name_listener(self.__update_plugin_names) self.__displayed_plugins = [] self.__update_page_switch_leds() self.__update_flip_led() self.__update_page_switch_leds() def __switch_to_prev_page(self): """ Switch to the previous page in the non track strip modes (choosing plugs, or controlling devices) """ if self.__can_switch_to_prev_page(): if self.__assignment_mode == CSM_PLUGINS: self.__plugin_mode_offsets[self.__plugin_mode] -= len(self.__channel_strips) if self.__plugin_mode == PCM_DEVICES: self.__update_vpot_leds_in_plugins_device_choose_mode() elif self.__assignment_mode == CSM_SENDS: self.__send_mode_offset -= len(self.__channel_strips) self.__reassign_channel_strip_parameters(for_display_only=False) self.__update_channel_strip_strings() self.__update_page_switch_leds() self.request_rebuild_midi_map() def __switch_to_next_page(self): """ Switch to the next page in the non track strip modes (choosing plugs, or controlling devices) """ if self.__can_switch_to_next_page(): if self.__assignment_mode == CSM_PLUGINS: self.__plugin_mode_offsets[self.__plugin_mode] += len(self.__channel_strips) if self.__plugin_mode == PCM_DEVICES: self.__update_vpot_leds_in_plugins_device_choose_mode() elif self.__assignment_mode == CSM_SENDS: self.__send_mode_offset += len(self.__channel_strips) else: raise 0 or AssertionError self.__reassign_channel_strip_parameters(for_display_only=False) self.__update_channel_strip_strings() self.__update_page_switch_leds() self.request_rebuild_midi_map() def __switch_to_next_io_mode(self): """ Step through the available IO modes (In/OutPut//Main/Sub) """ self.__sub_mode_in_io_mode += 1 if self.__sub_mode_in_io_mode > CSM_IO_LAST_MODE: self.__sub_mode_in_io_mode = CSM_IO_FIRST_MODE def __reassign_channel_strip_offsets(self): """ Update the channel strips bank_channel offset """ for s in self.__channel_strips: s.set_bank_and_channel_offset(self.__strip_offset(), self.__view_returns, self.__within_track_added_or_deleted) def __reassign_channel_strip_parameters(self, for_display_only): """ Reevaluate all v-pot/fader -> parameter assignments """ display_parameters = [] for s in self.__channel_strips: vpot_param = (None, None) slider_param = (None, None) vpot_display_mode = VPOT_DISPLAY_SINGLE_DOT slider_display_mode = VPOT_DISPLAY_SINGLE_DOT if self.__assignment_mode == CSM_VOLPAN: if s.assigned_track() and s.assigned_track().has_audio_output: vpot_param = (s.assigned_track().mixer_device.panning, 'Pan') vpot_display_mode = VPOT_DISPLAY_BOOST_CUT slider_param = (s.assigned_track().mixer_device.volume, 'Volume') slider_display_mode = VPOT_DISPLAY_WRAP elif self.__assignment_mode == CSM_PLUGINS: vpot_param = self.__plugin_parameter(s.strip_index(), s.stack_offset()) vpot_display_mode = VPOT_DISPLAY_WRAP if s.assigned_track() and s.assigned_track().has_audio_output: slider_param = (s.assigned_track().mixer_device.volume, 'Volume') slider_display_mode = VPOT_DISPLAY_WRAP elif self.__assignment_mode == CSM_SENDS: vpot_param = self.__send_parameter(s.strip_index(), s.stack_offset()) vpot_display_mode = VPOT_DISPLAY_WRAP if s.assigned_track() and s.assigned_track().has_audio_output: slider_param = (s.assigned_track().mixer_device.volume, 'Volume') slider_display_mode = VPOT_DISPLAY_WRAP elif self.__assignment_mode == CSM_IO: if s.assigned_track() and s.assigned_track().has_audio_output: slider_param = (s.assigned_track().mixer_device.volume, 'Volume') if self.__flip and self.__can_flip(): if self.__any_slider_is_touched(): display_parameters.append(vpot_param) else: display_parameters.append(slider_param) if not for_display_only: s.set_v_pot_parameter(slider_param[0], slider_display_mode) s.set_fader_parameter(vpot_param[0]) else: if self.__any_slider_is_touched(): display_parameters.append(slider_param) else: display_parameters.append(vpot_param) if not for_display_only: s.set_v_pot_parameter(vpot_param[0], vpot_display_mode) s.set_fader_parameter(slider_param[0]) self.__main_display_controller.set_channel_offset(self.__strip_offset()) if len(display_parameters): self.__main_display_controller.set_parameters(display_parameters) def __apply_meter_mode(self): """ Update the meter mode in the displays and channel strips """ enabled = self.__meters_enabled and self.__assignment_mode is CSM_VOLPAN for s in self.__channel_strips: s.enable_meter_mode(enabled) self.__main_display_controller.enable_meters(enabled) def __toggle_flip(self): """ En/Disable V-Pot / Fader flipping """ if self.__can_flip(): self.__flip = not self.__flip self.__on_flip_changed() def __toggle_view_returns(self): """ Toggle if we want to control the return tracks or normal tracks """ self.__view_returns = not self.__view_returns self.__update_view_returns_mode() def __update_assignment_mode_leds(self): """ Show which assignment mode is currently active """ if self.__assignment_mode == CSM_IO: sid_on_switch = SID_ASSIGNMENT_IO elif self.__assignment_mode == CSM_SENDS: sid_on_switch = SID_ASSIGNMENT_SENDS elif self.__assignment_mode == CSM_VOLPAN: sid_on_switch = SID_ASSIGNMENT_PAN elif self.__assignment_mode == CSM_PLUGINS: sid_on_switch = SID_ASSIGNMENT_PLUG_INS else: raise 0 or AssertionError sid_on_switch = None for s in (SID_ASSIGNMENT_IO, SID_ASSIGNMENT_SENDS, SID_ASSIGNMENT_PAN, SID_ASSIGNMENT_PLUG_INS): if s == sid_on_switch: self.send_midi((NOTE_ON_STATUS, s, BUTTON_STATE_ON)) else: self.send_midi((NOTE_ON_STATUS, s, BUTTON_STATE_OFF)) def __update_assignment_display(self): """ Cryptically label the current assignment mode in the 2char display above the assignment buttons """ if self.__assignment_mode == CSM_VOLPAN: ass_string = ['P', 'N'] else: if self.__assignment_mode == CSM_PLUGINS or self.__assignment_mode == CSM_SENDS: ass_string = self.__last_attached_selected_track == self.song().master_track and ['M', 'A'] for t in self.song().return_tracks: if t == self.__last_attached_selected_track: ass_string = ['R', chr(ord('A') + list(self.song().return_tracks).index(t))] break for t in self.song().visible_tracks: if t == self.__last_attached_selected_track: ass_string = list('%.2d' % min(99, list(self.song().visible_tracks).index(t) + 1)) break if not ass_string: raise AssertionError elif self.__assignment_mode == CSM_IO: if self.__sub_mode_in_io_mode == CSM_IO_MODE_INPUT_MAIN: ass_string = ['I', "'"] elif self.__sub_mode_in_io_mode == CSM_IO_MODE_INPUT_SUB: ass_string = ['I', ','] elif self.__sub_mode_in_io_mode == CSM_IO_MODE_OUTPUT_MAIN: ass_string = ['0', "'"] elif self.__sub_mode_in_io_mode == CSM_IO_MODE_OUTPUT_SUB: ass_string = ['0', ','] else: raise 0 or AssertionError else: raise 0 or AssertionError self.send_midi((CC_STATUS, 75, g7_seg_led_conv_table[ass_string[0]])) self.send_midi((CC_STATUS, 74, g7_seg_led_conv_table[ass_string[1]])) def __update_rude_solo_led(self): any_track_soloed = False for t in chain(self.song().tracks, self.song().return_tracks): if t.solo: any_track_soloed = True break if any_track_soloed: self.send_midi((NOTE_ON_STATUS, SELECT_RUDE_SOLO, BUTTON_STATE_ON)) else: self.send_midi((NOTE_ON_STATUS, SELECT_RUDE_SOLO, BUTTON_STATE_OFF)) def __update_page_switch_leds(self): """ visualize if the "prev" an "next" buttons can be pressed """ if self.__can_switch_to_prev_page(): self.send_midi((NOTE_ON_STATUS, SID_ASSIGNMENT_EQ, BUTTON_STATE_ON)) else: self.send_midi((NOTE_ON_STATUS, SID_ASSIGNMENT_EQ, BUTTON_STATE_OFF)) if self.__can_switch_to_next_page(): self.send_midi((NOTE_ON_STATUS, SID_ASSIGNMENT_DYNAMIC, BUTTON_STATE_ON)) else: self.send_midi((NOTE_ON_STATUS, SID_ASSIGNMENT_DYNAMIC, BUTTON_STATE_OFF)) def __update_flip_led(self): if self.__flip and self.__can_flip(): self.send_midi((NOTE_ON_STATUS, SID_FADERBANK_FLIP, BUTTON_STATE_ON)) else: self.send_midi((NOTE_ON_STATUS, SID_FADERBANK_FLIP, BUTTON_STATE_OFF)) def __update_vpot_leds_in_plugins_device_choose_mode(self): """ To be called in assignment mode CSM_PLUGINS, submode PCM_DEVICES only: This will enlighten all poties which can be pressed to choose a device for editing, and unlight all poties where pressing will have no effect """ raise self.__assignment_mode == CSM_PLUGINS or AssertionError raise self.__plugin_mode == PCM_DEVICES or AssertionError sel_track = self.song().view.selected_track count = 0 for s in self.__channel_strips: offset = self.__plugin_mode_offsets[self.__plugin_mode] if sel_track and offset + count >= 0 and offset + count < len(sel_track.devices): s.show_full_enlighted_poti() else: s.unlight_vpot_leds() count += 1 def __update_channel_strip_strings(self): """ In IO mode, collect all strings that will be visible in the main display manually """ if not self.__any_slider_is_touched(): if self.__assignment_mode == CSM_IO: targets = [] for s in self.__channel_strips: if self.__routing_target(s): targets.append(self.__routing_target(s)) else: targets.append('') self.__main_display_controller.set_channel_strip_strings(targets) elif self.__assignment_mode == CSM_PLUGINS and self.__plugin_mode == PCM_DEVICES: for plugin in self.__displayed_plugins: if plugin != None: plugin.remove_name_listener(self.__update_plugin_names) self.__displayed_plugins = [] sel_track = self.song().view.selected_track for i in range(len(self.__channel_strips)): device_index = i + self.__plugin_mode_offsets[PCM_DEVICES] if device_index >= 0 and device_index < len(sel_track.devices): sel_track.devices[device_index].add_name_listener(self.__update_plugin_names) self.__displayed_plugins.append(sel_track.devices[device_index]) else: self.__displayed_plugins.append(None) self.__update_plugin_names() def __update_plugin_names(self): raise self.__assignment_mode == CSM_PLUGINS and self.__plugin_mode == PCM_DEVICES or AssertionError device_strings = [] for plugin in self.__displayed_plugins: if plugin != None: device_strings.append(plugin.name) else: device_strings.append('') self.__main_display_controller.set_channel_strip_strings(device_strings) def __update_view_returns_mode(self): """ Update the control return tracks LED """ if self.__view_returns: self.send_midi((NOTE_ON_STATUS, SID_FADERBANK_EDIT, BUTTON_STATE_ON)) else: self.send_midi((NOTE_ON_STATUS, SID_FADERBANK_EDIT, BUTTON_STATE_OFF)) self.__main_display_controller.set_show_return_track_names(self.__view_returns) self.__reassign_channel_strip_offsets() self.__reassign_channel_strip_parameters(for_display_only=False) self.request_rebuild_midi_map() def __on_selected_track_changed(self): """ Notifier, called as soon as the selected track has changed """ st = self.__last_attached_selected_track if st and st.devices_has_listener(self.__on_selected_device_chain_changed): st.remove_devices_listener(self.__on_selected_device_chain_changed) self.__last_attached_selected_track = self.song().view.selected_track st = self.__last_attached_selected_track if st: st.add_devices_listener(self.__on_selected_device_chain_changed) if self.__assignment_mode == CSM_PLUGINS: self.__plugin_mode_offsets = [ 0 for x in range(PCM_NUMMODES) ] if self.__chosen_plugin != None: self.__chosen_plugin.remove_parameters_listener(self.__on_parameter_list_of_chosen_plugin_changed) self.__chosen_plugin = None self.__ordered_plugin_parameters = [] self.__update_assignment_display() if self.__plugin_mode == PCM_DEVICES: self.__update_vpot_leds_in_plugins_device_choose_mode() else: self.__set_plugin_mode(PCM_DEVICES) elif self.__assignment_mode == CSM_SENDS: self.__reassign_channel_strip_parameters(for_display_only=False) self.__update_assignment_display() self.request_rebuild_midi_map() def __on_flip_changed(self): """ Update the flip button LED when the flip mode changed """ self.__update_flip_led() if self.__can_flip(): self.__update_assignment_display() self.__reassign_channel_strip_parameters(for_display_only=False) self.request_rebuild_midi_map() def __on_selected_device_chain_changed(self): if self.__assignment_mode == CSM_PLUGINS: if self.__plugin_mode == PCM_DEVICES: self.__update_vpot_leds_in_plugins_device_choose_mode() self.__update_page_switch_leds() elif self.__plugin_mode == PCM_PARAMETERS: if not self.__chosen_plugin: self.__set_plugin_mode(PCM_DEVICES) elif self.__chosen_plugin not in self.__last_attached_selected_track.devices: if self.__chosen_plugin != None: self.__chosen_plugin.remove_parameters_listener(self.__on_parameter_list_of_chosen_plugin_changed) self.__chosen_plugin = None self.__set_plugin_mode(PCM_DEVICES) def __on_tracks_added_or_deleted(self): """ Notifier, called as soon as tracks where added, removed or moved """ self.__within_track_added_or_deleted = True for t in chain(self.song().visible_tracks, self.song().return_tracks): if not t.solo_has_listener(self.__update_rude_solo_led): t.add_solo_listener(self.__update_rude_solo_led) if not t.has_audio_output_has_listener(self.__on_any_tracks_output_type_changed): t.add_has_audio_output_listener(self.__on_any_tracks_output_type_changed) if self.__send_mode_offset >= len(self.song().return_tracks): self.__send_mode_offset = 0 self.__reassign_channel_strip_parameters(for_display_only=False) self.__update_channel_strip_strings() if self.__strip_offset() + len(self.__channel_strips) >= self.__controlled_num_of_tracks(): self.__set_channel_offset(max(0, self.__controlled_num_of_tracks() - len(self.__channel_strips))) self.__reassign_channel_strip_parameters(for_display_only=False) self.__update_channel_strip_strings() if self.__assignment_mode == CSM_SENDS: self.__update_page_switch_leds() self.refresh_state() self.__main_display_controller.refresh_state() self.__within_track_added_or_deleted = False self.request_rebuild_midi_map() def __on_any_tracks_output_type_changed(self): """ called as soon as any device chain has changed (devices where added/removed/swapped...) """ self.__reassign_channel_strip_parameters(for_display_only=False) self.request_rebuild_midi_map() def __on_parameter_list_of_chosen_plugin_changed(self): raise self.__chosen_plugin != None or AssertionError raise self.__plugin_mode == PCM_PARAMETERS or AssertionError self.__reorder_parameters() self.__reassign_channel_strip_parameters(for_display_only=False) self.request_rebuild_midi_map() def __reorder_parameters(self): result = [] if self.__chosen_plugin: if self.__chosen_plugin.class_name in DEVICE_DICT.keys(): device_banks = DEVICE_DICT[self.__chosen_plugin.class_name] for bank in device_banks: for param_name in bank: parameter_name = '' parameter = get_parameter_by_name(self.__chosen_plugin, param_name) if parameter: parameter_name = parameter.name result.append((parameter, parameter_name)) else: result = [ (p, p.name) for p in self.__chosen_plugin.parameters[1:] ] self.__ordered_plugin_parameters = result

13,355

0

459

ab774b27049c59a7c1608f2fef3901d45566ef6f

81

py

Python

Aula09/ex14.py

danicon/Curso_Python

18fb4aad975bdc3b96cb5320331dbc7d3c3a459d

[ "MIT" ]

null

Aula09/ex14.py

danicon/Curso_Python

18fb4aad975bdc3b96cb5320331dbc7d3c3a459d

[ "MIT" ]

null

Aula09/ex14.py

danicon/Curso_Python

18fb4aad975bdc3b96cb5320331dbc7d3c3a459d

[ "MIT" ]

null

nome = str(input('Digite o seu nome: ')) nom = nome.title() print('Silva' in nom)

27

40

0.654321

nome = str(input('Digite o seu nome: ')) nom = nome.title() print('Silva' in nom)

0

4c05ba9565f2cbca21d16be983c81c5b28beccd3

402

py

Python

09 Sorting/3 insertionSort.py

harshrajm/Python-Algo-DS

02437fa923b2b6264b29bd7ba84ccbb7feb9c8f0

[ "MIT" ]

null

09 Sorting/3 insertionSort.py

harshrajm/Python-Algo-DS

02437fa923b2b6264b29bd7ba84ccbb7feb9c8f0

[ "MIT" ]

null

09 Sorting/3 insertionSort.py

harshrajm/Python-Algo-DS

02437fa923b2b6264b29bd7ba84ccbb7feb9c8f0

[ "MIT" ]

null

print(insertionSort([55,3,2,5,6,75,4]))

21.157895

61

0.487562

def insertionSort(arr): for i in range(1,len(arr)): currentVal = arr[i] position = i while position > 0 and arr[position-1] > currentVal: arr[position] = arr[position-1] position = position - 1 arr[position] = currentVal return arr print(insertionSort([55,3,2,5,6,75,4]))

332

0

25

e1877cfa1bdf9f6a3b42eb79a4b5b0362841a6c8

350

py

Python

PyMOTW/source/argparse/argparse_mutually_exclusive.py

axetang/AxePython

3b517fa3123ce2e939680ad1ae14f7e602d446a6

[ "Apache-2.0" ]

1

2019-01-04T05:47:50.000Z

PyMOTW/source/argparse/argparse_mutually_exclusive.py

axetang/AxePython

3b517fa3123ce2e939680ad1ae14f7e602d446a6

[ "Apache-2.0" ]

1

2020-07-18T03:52:03.000Z

2020-07-18T04:18:01.000Z

PyMOTW/source/argparse/argparse_mutually_exclusive.py

axetang/AxePython

3b517fa3123ce2e939680ad1ae14f7e602d446a6

[ "Apache-2.0" ]

2

2021-03-06T04:28:32.000Z

2021-03-06T04:59:17.000Z

#!/usr/bin/env python3 # encoding: utf-8 # # Copyright (c) 2010 Doug Hellmann. All rights reserved. # """ """ #end_pymotw_header import argparse parser = argparse.ArgumentParser() group = parser.add_mutually_exclusive_group() group.add_argument('-a', action='store_true') group.add_argument('-b', action='store_true') print(parser.parse_args())

18.421053

57

0.737143

#!/usr/bin/env python3 # encoding: utf-8 # # Copyright (c) 2010 Doug Hellmann. All rights reserved. # """ """ #end_pymotw_header import argparse parser = argparse.ArgumentParser() group = parser.add_mutually_exclusive_group() group.add_argument('-a', action='store_true') group.add_argument('-b', action='store_true') print(parser.parse_args())

0

3fbb83487a465a1a51cc8203d043aefa5f77fea9

2,306

py

Python

example/server.py

inovonics/cloud-oauth

951124100dd45204c3325b975084fa9690d16147

[ "MIT" ]

1

2017-10-19T19:23:38.000Z

example/server.py

inovonics/cloud-oauth

951124100dd45204c3325b975084fa9690d16147

[ "MIT" ]

3

2017-12-04T18:11:31.000Z

2018-04-10T23:58:59.000Z

example/server.py

inovonics/cloud-oauth

951124100dd45204c3325b975084fa9690d16147

[ "MIT" ]

null

#!/usr/bin/env python3 # === IMPORTS === import logging import os from flask import Flask from inovonics.cloud.datastore import InoRedis from inovonics.cloud.oauth import InoOAuth2Provider, oauth_register_handlers from inovonics.cloud.oauth import OAuthClients, OAuthClient, OAuthUsers, OAuthUser # === GLOBALS === REDIS_HOST = os.getenv('REDIS_HOST', 'localhost') REDIS_PORT = os.getenv('REDIS_PORT', 6379) REDIS_DB = os.getenv('REDIS_DB', 0) dstore = InoRedis(host=REDIS_HOST, port=REDIS_PORT, db=REDIS_DB) app = Flask(__name__) oauth = InoOAuth2Provider(app, dstore) oauth_register_handlers(app, oauth, token_path='/oauth/token', revoke_path='/oauth/revoke') # === FUNCTIONS === @app.before_first_request @app.route('/') @app.route('/protected/') @oauth.require_oauth('protected') # === CLASSES === # === MAIN === if __name__ == '__main__': main()

27.452381

114

0.669124

#!/usr/bin/env python3 # === IMPORTS === import logging import os from flask import Flask from inovonics.cloud.datastore import InoRedis from inovonics.cloud.oauth import InoOAuth2Provider, oauth_register_handlers from inovonics.cloud.oauth import OAuthClients, OAuthClient, OAuthUsers, OAuthUser # === GLOBALS === REDIS_HOST = os.getenv('REDIS_HOST', 'localhost') REDIS_PORT = os.getenv('REDIS_PORT', 6379) REDIS_DB = os.getenv('REDIS_DB', 0) dstore = InoRedis(host=REDIS_HOST, port=REDIS_PORT, db=REDIS_DB) app = Flask(__name__) oauth = InoOAuth2Provider(app, dstore) oauth_register_handlers(app, oauth, token_path='/oauth/token', revoke_path='/oauth/revoke') # === FUNCTIONS === @app.before_first_request def db_init(): # This flushes the Redis database and pushed a default user and a couple of default clients into the database. dstore.redis.flushdb() users = OAuthUsers(dstore) clients = OAuthClients(dstore) user1_data = { 'username': 'admin@example.com', 'first_name': 'Admin', 'last_name': 'Testuser', 'is_active': True, 'scopes': ['protected'] } user1 = OAuthUser(user1_data) user1.update_password('<insert_password_here>') users.create(user1) client1_data = { 'name': 'Test Client One', 'client_id': '<insert_client_id_here>', # API_KEY 'client_secret': '', # API_SECRET 'user': 'admin@example.com', 'is_confidential': False, 'allowed_grant_types': ['password'], 'redirect_uris': [], 'default_scopes': ['protected'], 'allowed_scopes': ['protected'] } client1 = OAuthClient(client1_data) clients.create(client1) @app.route('/') def static_root(): return app.send_static_file('index.html') @app.route('/protected/') @oauth.require_oauth('protected') def protected_page(): return app.send_static_file('protected.html') # === CLASSES === # === MAIN === def main(): # Allow non-TLS protected requests for testing os.environ['DEBUG'] = 'true' os.environ['OAUTHLIB_INSECURE_TRANSPORT'] = 'true' # Enable DEBUG logging logging.basicConfig(level=logging.DEBUG) # Make the magic happen app.run(debug=True, host='0.0.0.0', port=8080) if __name__ == '__main__': main()

1,349

0

88

efbb55992e67f2574dbed2a58dbe02993a8fd9cc

8,122

py

Python

social_exclusion/tests.py

AWI-Lab/otree

6815c38a92cd93540f6e9c7ebdaecf90627ca865

[ "MIT" ]

3

2017-03-10T18:56:57.000Z

2019-03-07T18:18:37.000Z

social_exclusion/tests.py

AWI-Lab/otree

6815c38a92cd93540f6e9c7ebdaecf90627ca865

[ "MIT" ]

null

social_exclusion/tests.py

AWI-Lab/otree

6815c38a92cd93540f6e9c7ebdaecf90627ca865

[ "MIT" ]

null

from otree.api import Currency as c, currency_range from . import views from ._builtin import Bot from .models import Constants from otree.api import SubmissionMustFail

44.626374

123

0.573381

from otree.api import Currency as c, currency_range from . import views from ._builtin import Bot from .models import Constants from otree.api import SubmissionMustFail class PlayerBot(Bot): # in allplay_1 all players invite # in allplay_2 some not invite but no majority # in notallplay there is a majority cases = ['allplay_1', 'allplay_2', 'notallplay'] #the voting of a player is a complex behavior, because each player only can vote for the other players, but not himself #therefore the input a player makes, depends on his player label #function returns a dic with the correct voting behavior of a player #all players invite all players def set_voting_behavior(self, in_ex): votealldic = {in_ex+'_A':True, in_ex+'_B':True, in_ex+'_C':True, in_ex+'_D':True, in_ex+'_E':True} label = self.player.label[-1] icanvotefor = {} for poss in votealldic.keys(): if label not in poss: icanvotefor[poss] = votealldic[poss] print('Bot ' + self.player.label + ' will make vote decisions: ' + str(icanvotefor)) return icanvotefor #note: votes here can be used as invitations or as exclusions def complex_voting_behavior(self,in_ex, majority): if majority == 'nomajority': return {'Player A': {in_ex+'_B':False, in_ex+'_C':True, in_ex+'_D':True, in_ex+'_E':True}, 'Player B': {in_ex+'_A':False, in_ex+'_C':True, in_ex+'_D':True, in_ex+'_E':True}, 'Player C': {in_ex+'_A':True, in_ex+'_B':True, in_ex+'_D':True, in_ex+'_E':True}, 'Player D': {in_ex+'_A':False, in_ex+'_B':True, in_ex+'_C':True, in_ex+'_E':True}, 'Player E': {in_ex+'_A':True, in_ex+'_B':False, in_ex+'_C':True, in_ex+'_D':True},} elif majority == 'yesmajority': return {'Player A': {in_ex+'_B':True, in_ex+'_C':True, in_ex+'_D':False, in_ex+'_E':True }, 'Player B': {in_ex+'_A':True, in_ex+'_C':True, in_ex+'_D':False, in_ex+'_E':True }, 'Player C': {in_ex+'_A':True, in_ex+'_B':True, in_ex+'_D':False, in_ex+'_E':True }, 'Player D': {in_ex+'_A':True, in_ex+'_B':True, in_ex+'_C':True, in_ex+'_E':True }, 'Player E': {in_ex+'_A':True, in_ex+'_B':True, in_ex+'_C':True, in_ex+'_D':False },} else: raise Exception ('wrong input of function complex voting behavior') def play_round(self): if self.player.treatment == 'inclusion': yield (views.Instructions) for wrong_input in [-1,-0.01, 'hello', '!', 101, 55.5, '']: yield SubmissionMustFail(views.FirstContribution, {'cont_first': wrong_input}) yield (views.FirstContribution, {'cont_first':100}) assert self.group.total_cont_first == 500 assert self.group.indiv_share_first == 200 assert self.player.payoff == 200 yield (views.FirstResults) #all players invite all players if self.case == 'allplay_1': print('Ive been here: allplay 1') yield (views.Vote, self.set_voting_behavior('invite')) assert self.group.all_play == 'True' assert self.player.plays_secondpg == True #player A and B only get 2 invitations, others get all, no majority elif self.case == 'allplay_2': print('Ive been here: allplay 2') yield (views.Vote, self.complex_voting_behavior('invite','nomajority')[self.player.label]) if self.player.label == 'Player A' or self.player.label == 'Player B': assert self.player.myvotes_inclusion == 2 else: assert self.player.myvotes_inclusion == 4 assert self.group.all_play == 'True' #player D gets 0 invitations elif self.case == 'notallplay': print('Ive been here: notallplay') yield (views.Vote, self.complex_voting_behavior('invite','yesmajority')[self.player.label]) if self.player.label == 'Player D': assert self.player.myvotes_inclusion == 0 else: assert self.player.myvotes_inclusion == 4 assert self.group.all_play=='False' else: print('titanic sinks in 1 sec...') yield (views.VoteResults) if self.player.plays_secondpg == False: yield (views.InsteadOfSecondContribution) elif self.player.plays_secondpg == True: for wrong_input in [-1,-0.01, 'hello', '!', 101, 55.5, '']: yield SubmissionMustFail(views.SecondContribution, {'cont_second': wrong_input}) yield (views.SecondContribution, {'cont_second': 50}) if self.group.all_play == 'True': assert self.group.total_cont_second == 250 #if only 4 players contribute 50 else: assert self.group.total_cont_second == 200 yield (views.SecondResults) if self.round_number == Constants.num_rounds: yield (views.LastPage) elif self.player.treatment == 'exclusion': yield (views.Instructions) for wrong_input in [-1, -0.01, 'hello', '!', 101, 55.5, '']: yield SubmissionMustFail(views.FirstContribution, {'cont_first': wrong_input}) yield (views.FirstContribution, {'cont_first': 100}) assert self.group.total_cont_first == 500 assert self.group.indiv_share_first == 200 assert self.player.payoff == 200 yield (views.FirstResults) # all players invite all players if self.case == 'allplay_1': print('Ive been here: allplay 1') yield (views.Vote, self.set_voting_behavior('exclude')) assert self.group.all_play == 'True' assert self.player.plays_secondpg == True # player A and B only get 2 exclusions, others get non exclusions, no majority elif self.case == 'allplay_2': print('Ive been here: allplay 2') yield (views.Vote, self.complex_voting_behavior('exclude','nomajority')[self.player.label]) if self.player.label == 'Player A' or self.player.label == 'Player B': assert self.player.myvotes_exclusion == 2 else: assert self.player.myvotes_exclusion == 0 assert self.group.all_play == 'True' # player D gets 4 exclusions, other get non exclusio elif self.case == 'notallplay': print('Ive been here: notallplay') yield (views.Vote, self.complex_voting_behavior('exclude','yesmajority')[self.player.label]) if self.player.label == 'Player D': assert self.player.myvotes_exclusion == 4 else: assert self.player.myvotes_exclusion == 0 assert self.group.all_play == 'False' else: print('titanic sinks in 1 sec...') yield (views.VoteResults) if self.player.plays_secondpg == False: yield (views.InsteadOfSecondContribution) elif self.player.plays_secondpg == True: for wrong_input in [-1, -0.01, 'hello', '!', 101, 55.5, '']: yield SubmissionMustFail(views.SecondContribution, {'cont_second': wrong_input}) yield (views.SecondContribution, {'cont_second': 50}) if self.group.all_play == 'True': assert self.group.total_cont_second == 250 # if only 4 players contribute 50 else: assert self.group.total_cont_second == 200 yield (views.SecondResults) if self.round_number == Constants.num_rounds: yield (views.LastPage)

7,290

635

23

6586336720ee9e57187421d19fc6336e7ecc0c4a

707

py

Python

tests/test_sftp.py

somenzz/transferfile

0b718ee43a5ea4e728e23bf2bf7d92ca0f2aa413

[ "MIT" ]

1

2021-06-08T06:20:45.000Z

tests/test_sftp.py

somenzz/transferfile

0b718ee43a5ea4e728e23bf2bf7d92ca0f2aa413

[ "MIT" ]

null

tests/test_sftp.py

somenzz/transferfile

0b718ee43a5ea4e728e23bf2bf7d92ca0f2aa413

[ "MIT" ]

null

from transferfile import TransferFactory from pathlib import Path

33.666667

88

0.62942

from transferfile import TransferFactory from pathlib import Path class TestTransfer: def test_sftp_put(self): sftp = TransferFactory.create( type="sftp", host="172.17.0.2", username="admin", load_system_host_keys=True ) sftp.put("testsftp.txt", "/home/admin/testsftp.txt") assert True def test_sftp_get(self): sftp = TransferFactory.create( type="sftp", host="172.17.0.2", username="admin", load_system_host_keys=True ) sftp.get("./file/testsftp", "/home/admin/testsftp.txt") file1 = Path("./testsftp.txt") file2 = Path("./file/testsftp") assert file1.stat().st_size == file2.stat().st_size

566

-2

76

bdf6fc45c72e4cc335707fd6de0a5dd2d2ecb997

1,256

py

Python

sandbox/server.py

tacosync/quote-socket

e65b79968663d9d5a0d991166e791e0ee1029a91

[ "MIT" ]

null

sandbox/server.py

tacosync/quote-socket

e65b79968663d9d5a0d991166e791e0ee1029a91

[ "MIT" ]

1

2020-06-17T08:55:54.000Z

sandbox/server.py

tacosync/quote-socket

e65b79968663d9d5a0d991166e791e0ee1029a91

[ "MIT" ]

null

''' Socket.IO server for testing CLI: python -m watchgod server.main [aiohttp|sanic|tornado|asgi] Test results: | connect | disconnect | event | background_task | Ctrl+C ---------+---------+------------+-------+-----------------|-------- aiohttp | O | O | O | X | O sanic | O | O | O | X | O tornado | O | O | O | O | O asgi | O | O | O | ! | O ''' import sys from servers.aiohttp_server import main as aiohttp_main from servers.asgi_server import main as asgi_main from servers.sanic_server import main as sanic_main from servers.tornado_server import main as tornado_main if __name__ == '__main__': main()

27.911111

70

0.494427

''' Socket.IO server for testing CLI: python -m watchgod server.main [aiohttp|sanic|tornado|asgi] Test results: | connect | disconnect | event | background_task | Ctrl+C ---------+---------+------------+-------+-----------------|-------- aiohttp | O | O | O | X | O sanic | O | O | O | X | O tornado | O | O | O | O | O asgi | O | O | O | ! | O ''' import sys from servers.aiohttp_server import main as aiohttp_main from servers.asgi_server import main as asgi_main from servers.sanic_server import main as sanic_main from servers.tornado_server import main as tornado_main def main(): if len(sys.argv) > 1: framework = sys.argv[1] else: framework = 'tornado' boot_options = { 'aiohttp': aiohttp_main, 'asgi': asgi_main, 'sanic': sanic_main, 'tornado': tornado_main } if framework in boot_options: bootstrap = boot_options[framework] bootstrap() else: print('Unknown framework "%s".' % framework) if __name__ == '__main__': main()

416

0

25

5d135caa4532bcc7d1789591afc459bd38d60010

323

py

Python

1/video2frames.py

AnushK-Fro/ASCII-Video-Discord-Bot

c18e2278075e254f91492abb844713b7e5367542

[ "MIT" ]

null

1/video2frames.py

AnushK-Fro/ASCII-Video-Discord-Bot

c18e2278075e254f91492abb844713b7e5367542

[ "MIT" ]

null

1/video2frames.py

AnushK-Fro/ASCII-Video-Discord-Bot

c18e2278075e254f91492abb844713b7e5367542

[ "MIT" ]

null

import cv2 video_file_name = "" if __name__ == '__main__': FrameCapture(video_file_name)

20.1875

49

0.606811

import cv2 video_file_name = "" def FrameCapture(path): vidObj = cv2.VideoCapture(path) count = 0 success = 1 while success: success, image = vidObj.read() cv2.imwrite("frame%d.jpg" % count, image) count += 1 if __name__ == '__main__': FrameCapture(video_file_name)

199

0

25

8a1fa51fea4d1f0796cf567794820f1f43be633e

14,907

py

Python

vpv/model/model.py

mpi2/vpv

3d0445fa36a8916dfbeed07f50e702b1ffe0973a

[ "Apache-2.0" ]

2

2016-08-15T22:06:28.000Z

2016-11-15T14:23:37.000Z

vpv/model/model.py

mpi2/vpv

3d0445fa36a8916dfbeed07f50e702b1ffe0973a

[ "Apache-2.0" ]

1

2018-07-30T22:47:37.000Z

vpv/model/model.py

mpi2/vpv

3d0445fa36a8916dfbeed07f50e702b1ffe0973a

[ "Apache-2.0" ]

1

2020-08-05T03:54:02.000Z

# Copyright 2016 Medical Research Council Harwell. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # # # @author Neil Horner <n.horner@har.mrc.ac.uk> """ TODO: don't duplicate the full array for each _get_* function """ import numpy as np import os import tempfile from PIL import Image from PyQt5 import QtCore from vpv.common import read_image, get_stage_and_modality, error_dialog from vpv.annotations.impc_xml import load_xml, get_annotator_id_and_date from vpv.annotations.annotations_model import centre_stage_options, PROCEDURE_METADATA, ANNOTATION_DONE_METADATA_FILE from .ImageVolume import ImageVolume from .HeatmapVolume import HeatmapVolume from .VectorVolume import VectorVolume from .ImageSeriesVolume import ImageSeriesVolume from .VirtualStackVolume import VirtualStackVolume import yaml class DataModel(QtCore.QObject): """ The model for our app """ data_changed_signal = QtCore.pyqtSignal() updating_started_signal = QtCore.pyqtSignal() updating_msg_signal = QtCore.pyqtSignal(str) updating_finished_signal = QtCore.pyqtSignal() def update_msg_slot(self, msg): """ Gets update messages from the different volume classes which are then propagated to the main window to display a progress message Parameters ---------- msg: str progress message """ self.update_msg_signal.emit(msg) def load_annotation(self, ann_path): """ Load annotations from an IMPC xml file. Parameters ---------- ann_path: str path to xml annotation file Returns ------- """ # Load in data from xml try: centerID, pipeline, project, doe, ex_id, spec_id, proc_id, \ simple_and_series_params, procedure_metadata = load_xml(ann_path) except IOError as e: print("Cannot read xml file {}\n".format(ann_path, e)) error_dialog(None, 'File read error', "Problem reading annotaitons file\n{}".format(ann_path)) return # try to find a corresponding procedure_metadata.yaml file ann_dir = os.path.split(ann_path)[0] procedure_metadata_file = os.path.join(ann_dir, PROCEDURE_METADATA) if not os.path.isfile(procedure_metadata_file): vol = None # Should also check if annotation options have been loaded else: vol_id = os.path.basename(ann_dir) # The annotation directory is the same name as the annotated volume vol = self._volumes.get(vol_id) if not vol: return "Could not load annotation: {}. Not able to find loaded volume with same id".format(vol_id) vol.annotations.clear() # Get the dict that contains the available options for a given center/stage annotation_date_param_id = get_annotator_id_and_date(proc_id)[1] ann_date = [x[1] for x in procedure_metadata if x[0] == annotation_date_param_id] ann_date = ann_date[0] vol.annotations.annotation_date = ann_date default_opts = centre_stage_options.opts stage = get_stage_and_modality(proc_id, centerID) ###################################### # This all needs moving into Annotations # Set the xml file path which is where it will get resaved to vol.annotations.saved_xml_fname = ann_path # Get all the simpleParameter entries form the xml file for xml_param, xml_data in simple_and_series_params.items(): option = xml_data['option'] xyz = xml_data.get('xyz') if xyz: x, y, z = [int(i) for i in xyz] else: x = y = z = None dims = vol.shape_xyz() # Some of the data needed to create an annotation object is not recorded in the XML output # So we need to load that from the center annotation options file for center, default_data in default_opts['centers'].items(): if default_data['short_name'] == centerID: params = default_data['procedures'][proc_id]['parameters'] for param_id, default_param_info in params.items(): if param_id == xml_param: name = default_param_info['name'] options = default_opts['available_options'][ default_param_info['options']] # available options for this parameter order = default_param_info['order'] is_mandatory = default_param_info['mandatory'] vol.annotations.add_impc_annotation(x, y, z, xml_param, name, options, option, stage, order, is_mandatory, dims) vol.annotations._load_done_status() # def load_annotation(self, ann_path): # """ # Load annotations from an IMPC xml file. # # Parameters # ---------- # ann_path: str # path to xml annotation file # # Returns # ------- # # """ # # Load in data from xml # centerID, pipeline, project, doe, ex_id, spec_id, proc_id, \ # simple_and_series_params, procedure_metadata = load_xml(ann_path) # # # try to find a corresponding procedure_metadata.yaml file # ann_dir = os.path.split(ann_path)[0] # procedure_metadata_file = os.path.join(ann_dir, PROCEDURE_METADATA) # if not os.path.isfile(procedure_metadata_file): # vol = None # Should also check if annotation options have been loaded # else: # vol_id = os.path.basename(ann_dir) # The annotation directory is the same name as the annotated volume # vol = self._volumes.get(vol_id) # # if vol: # # Get the dict that contains the available options for a given center/stage # default_opts = centre_stage_options.opts # stage = get_stage_from_proc_id(proc_id, centerID) # # # Get all the simpleParameter entries form the xml file # for xml_param, xml_data in simple_and_series_params.items(): # option = xml_data['option'] # xyz = xml_data.get('xyz') # if xyz: # x, y, z = [int(i) for i in xyz] # else: # x = y = z = None # dims = vol.shape_xyz() # # # Some of the data neded to crate an annotation object is not recorded in the XML output # # So we need to load that from the center annotation options file # for center, default_data in default_opts['centers'].items(): # if default_data['short_name'] == centerID: # params = default_data['stages'][stage]['parameters'] # # for param_id, default_param_info in params.items(): # if param_id == xml_param: # name = default_param_info['name'] # options = default_opts['available_options'][default_param_info['options']]# available options for this parameter # order = default_param_info['options'] # is_mandatory = default_param_info['mandatory'] # # vol.annotations.add_impc_annotation(x, y, z, xml_param, name, options, option, stage, # order, is_mandatory, dims) # # else: # return "Could not load annotation: {}. Not able to find loaded volume with same id".format(vol_id) # return None def add_volume(self, volpath, data_type, memory_map, fdr_thresholds=False) -> str: """ Load a volume into a subclass of a Volume object Parameters ---------- volpath: str data_type: str memory_map: bool fdr_thresholds: fdict q -> t statistic mappings {0.01: 3.4, 0.05:, 3.1} Returns ------- unique id of loaded image """ if data_type != 'virtual_stack': volpath = str(volpath) n = os.path.basename(volpath) unique_name = self.create_unique_name(n) else: n = os.path.basename(os.path.split(volpath[0])[0]) unique_name = self.create_unique_name(n) if data_type == 'heatmap': vol = HeatmapVolume(volpath, self, 'heatmap') if fdr_thresholds or fdr_thresholds is None: vol.fdr_thresholds = fdr_thresholds vol.name = unique_name self._data[vol.name] = vol elif data_type == 'vol': vol = ImageVolume(volpath, self, 'volume', memory_map) vol.name = unique_name self._volumes[vol.name] = vol elif data_type == 'virtual_stack': vol = VirtualStackVolume(volpath, self, 'virtual_stack', memory_map) vol.name = unique_name self._volumes[vol.name] = vol elif data_type == 'vector': vol = VectorVolume(volpath, self, 'vector') vol.name = unique_name self._vectors[vol.name] = vol self.id_counter += 1 self.data_changed_signal.emit() return unique_name def create_unique_name(self, name): """ Create a unique name for each volume. If it already exists, append a digit in a bracket to it :param name: :return: """ name = os.path.splitext(name)[0] if name not in self._volumes and name not in self._data and name not in self._vectors: return name else: for i in range(1, 100): new_name = '{}({})'.format(name, i) if new_name not in self._volumes and new_name not in self._data: return new_name def write_temporary_annotations_metadata(self): """ Returns ------- """ from os.path import join for id_, vol in self._volumes.items(): if vol.annotations.annotation_dir: # Check for previous done list done_file = join(vol.annotations.annotation_dir, ANNOTATION_DONE_METADATA_FILE) done_status = {} for ann in vol.annotations: done_status[ann.term] = ann.looked_at with open(done_file, 'w') as fh: fh.write(yaml.dump(done_status))

37.08209

146

0.581673

# Copyright 2016 Medical Research Council Harwell. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # # # @author Neil Horner <n.horner@har.mrc.ac.uk> """ TODO: don't duplicate the full array for each _get_* function """ import numpy as np import os import tempfile from PIL import Image from PyQt5 import QtCore from vpv.common import read_image, get_stage_and_modality, error_dialog from vpv.annotations.impc_xml import load_xml, get_annotator_id_and_date from vpv.annotations.annotations_model import centre_stage_options, PROCEDURE_METADATA, ANNOTATION_DONE_METADATA_FILE from .ImageVolume import ImageVolume from .HeatmapVolume import HeatmapVolume from .VectorVolume import VectorVolume from .ImageSeriesVolume import ImageSeriesVolume from .VirtualStackVolume import VirtualStackVolume import yaml class LoadVirtualStackWorker(QtCore.QThread): progress_signal = QtCore.pyqtSignal([str]) def __init__(self, file_paths): QtCore.QThread.__init__(self) self.file_paths = file_paths self.memmap_result = None # Populated at end of run() def sitk_load(self, p): read_image(p, convert_to_ras=True) def pil_load(self, p): im = Image.open(p) return np.array(im) def run(self): size = len(self.file_paths) # SimpleITK reads in 2D bmps as 3D. So use PIL instead if self.file_paths[0].lower().endswith('.bmp'): reader = self.pil_load else: reader = self.sitk_load arr = reader(self.file_paths[0]) dtype = arr.dtype zyx = list(arr.shape) zyx.insert(0, len(self.file_paths)) t = tempfile.TemporaryFile() m = np.memmap(t, dtype=dtype, mode='w+', shape=tuple(zyx)) for i, path in enumerate(sorted(self.file_paths)): img_arr = reader(path) m[i] = img_arr self.progress_signal.emit("Loading virtual stack.. {}%".format(str(100.0/size * i))) self.memmap_result = m class DataModel(QtCore.QObject): """ The model for our app """ data_changed_signal = QtCore.pyqtSignal() updating_started_signal = QtCore.pyqtSignal() updating_msg_signal = QtCore.pyqtSignal(str) updating_finished_signal = QtCore.pyqtSignal() def update_msg_slot(self, msg): """ Gets update messages from the different volume classes which are then propagated to the main window to display a progress message Parameters ---------- msg: str progress message """ self.update_msg_signal.emit(msg) def __init__(self): super(DataModel, self).__init__() self.id_counter = 0 self._volumes = {} self._data = {} self._vectors = {} def change_vol_name(self, old_name, new_name): # Only work on image volumes for now if self._volumes.get(old_name): # Change the dictionary key entry self._volumes[new_name] = self._volumes.pop(old_name) # Change the id on the object self._volumes[new_name].name = new_name def set_interpolation(self, onoff): for vol in self._volumes.values(): vol.set_interpolation(onoff) def clear_data(self): keys = list(self._volumes.keys()) for k in keys: del self._volumes[k] self._volumes = {} self._data = {} def volume_id_list(self, sort=True): if sort: # Not sure if we need this return sorted([id_ for id_ in self._volumes]) else: return [id_ for id_ in self._volumes] def data_id_list(self): return sorted([id_ for id_ in self._data]) def vector_id_list(self): return sorted([id_ for id_ in self._vectors]) for key in self._data.keys(): self._data[key].destroy() def all_volumes(self): return [vol for vol in self._volumes.values()] def getvol(self, id_): # bodge. should merge vols and data, as they have unique ids vol = None if id_ == 'None': return 'None' try: vol = self._volumes[id_] except KeyError: pass if not vol: try: vol = self._data[id_] except KeyError: pass if not vol: try: vol = self._vectors[id_] except KeyError: return "None" # Need to do something else here, like logging return vol def getdata(self, id_): if id_ == 'None': return 'None' return self._data[id_] def load_image_series(self, series_paths, memory_map): volpath = str(series_paths[0]) n = os.path.basename(volpath) unique_name = self.create_unique_name(n) vol = ImageSeriesVolume(series_paths, self, 'series', memory_map) vol.name = unique_name self._volumes[vol.name] = vol self.id_counter += 1 def load_annotation(self, ann_path): """ Load annotations from an IMPC xml file. Parameters ---------- ann_path: str path to xml annotation file Returns ------- """ # Load in data from xml try: centerID, pipeline, project, doe, ex_id, spec_id, proc_id, \ simple_and_series_params, procedure_metadata = load_xml(ann_path) except IOError as e: print("Cannot read xml file {}\n".format(ann_path, e)) error_dialog(None, 'File read error', "Problem reading annotaitons file\n{}".format(ann_path)) return # try to find a corresponding procedure_metadata.yaml file ann_dir = os.path.split(ann_path)[0] procedure_metadata_file = os.path.join(ann_dir, PROCEDURE_METADATA) if not os.path.isfile(procedure_metadata_file): vol = None # Should also check if annotation options have been loaded else: vol_id = os.path.basename(ann_dir) # The annotation directory is the same name as the annotated volume vol = self._volumes.get(vol_id) if not vol: return "Could not load annotation: {}. Not able to find loaded volume with same id".format(vol_id) vol.annotations.clear() # Get the dict that contains the available options for a given center/stage annotation_date_param_id = get_annotator_id_and_date(proc_id)[1] ann_date = [x[1] for x in procedure_metadata if x[0] == annotation_date_param_id] ann_date = ann_date[0] vol.annotations.annotation_date = ann_date default_opts = centre_stage_options.opts stage = get_stage_and_modality(proc_id, centerID) ###################################### # This all needs moving into Annotations # Set the xml file path which is where it will get resaved to vol.annotations.saved_xml_fname = ann_path # Get all the simpleParameter entries form the xml file for xml_param, xml_data in simple_and_series_params.items(): option = xml_data['option'] xyz = xml_data.get('xyz') if xyz: x, y, z = [int(i) for i in xyz] else: x = y = z = None dims = vol.shape_xyz() # Some of the data needed to create an annotation object is not recorded in the XML output # So we need to load that from the center annotation options file for center, default_data in default_opts['centers'].items(): if default_data['short_name'] == centerID: params = default_data['procedures'][proc_id]['parameters'] for param_id, default_param_info in params.items(): if param_id == xml_param: name = default_param_info['name'] options = default_opts['available_options'][ default_param_info['options']] # available options for this parameter order = default_param_info['order'] is_mandatory = default_param_info['mandatory'] vol.annotations.add_impc_annotation(x, y, z, xml_param, name, options, option, stage, order, is_mandatory, dims) vol.annotations._load_done_status() # def load_annotation(self, ann_path): # """ # Load annotations from an IMPC xml file. # # Parameters # ---------- # ann_path: str # path to xml annotation file # # Returns # ------- # # """ # # Load in data from xml # centerID, pipeline, project, doe, ex_id, spec_id, proc_id, \ # simple_and_series_params, procedure_metadata = load_xml(ann_path) # # # try to find a corresponding procedure_metadata.yaml file # ann_dir = os.path.split(ann_path)[0] # procedure_metadata_file = os.path.join(ann_dir, PROCEDURE_METADATA) # if not os.path.isfile(procedure_metadata_file): # vol = None # Should also check if annotation options have been loaded # else: # vol_id = os.path.basename(ann_dir) # The annotation directory is the same name as the annotated volume # vol = self._volumes.get(vol_id) # # if vol: # # Get the dict that contains the available options for a given center/stage # default_opts = centre_stage_options.opts # stage = get_stage_from_proc_id(proc_id, centerID) # # # Get all the simpleParameter entries form the xml file # for xml_param, xml_data in simple_and_series_params.items(): # option = xml_data['option'] # xyz = xml_data.get('xyz') # if xyz: # x, y, z = [int(i) for i in xyz] # else: # x = y = z = None # dims = vol.shape_xyz() # # # Some of the data neded to crate an annotation object is not recorded in the XML output # # So we need to load that from the center annotation options file # for center, default_data in default_opts['centers'].items(): # if default_data['short_name'] == centerID: # params = default_data['stages'][stage]['parameters'] # # for param_id, default_param_info in params.items(): # if param_id == xml_param: # name = default_param_info['name'] # options = default_opts['available_options'][default_param_info['options']]# available options for this parameter # order = default_param_info['options'] # is_mandatory = default_param_info['mandatory'] # # vol.annotations.add_impc_annotation(x, y, z, xml_param, name, options, option, stage, # order, is_mandatory, dims) # # else: # return "Could not load annotation: {}. Not able to find loaded volume with same id".format(vol_id) # return None def add_volume(self, volpath, data_type, memory_map, fdr_thresholds=False) -> str: """ Load a volume into a subclass of a Volume object Parameters ---------- volpath: str data_type: str memory_map: bool fdr_thresholds: fdict q -> t statistic mappings {0.01: 3.4, 0.05:, 3.1} Returns ------- unique id of loaded image """ if data_type != 'virtual_stack': volpath = str(volpath) n = os.path.basename(volpath) unique_name = self.create_unique_name(n) else: n = os.path.basename(os.path.split(volpath[0])[0]) unique_name = self.create_unique_name(n) if data_type == 'heatmap': vol = HeatmapVolume(volpath, self, 'heatmap') if fdr_thresholds or fdr_thresholds is None: vol.fdr_thresholds = fdr_thresholds vol.name = unique_name self._data[vol.name] = vol elif data_type == 'vol': vol = ImageVolume(volpath, self, 'volume', memory_map) vol.name = unique_name self._volumes[vol.name] = vol elif data_type == 'virtual_stack': vol = VirtualStackVolume(volpath, self, 'virtual_stack', memory_map) vol.name = unique_name self._volumes[vol.name] = vol elif data_type == 'vector': vol = VectorVolume(volpath, self, 'vector') vol.name = unique_name self._vectors[vol.name] = vol self.id_counter += 1 self.data_changed_signal.emit() return unique_name def create_unique_name(self, name): """ Create a unique name for each volume. If it already exists, append a digit in a bracket to it :param name: :return: """ name = os.path.splitext(name)[0] if name not in self._volumes and name not in self._data and name not in self._vectors: return name else: for i in range(1, 100): new_name = '{}({})'.format(name, i) if new_name not in self._volumes and new_name not in self._data: return new_name def write_temporary_annotations_metadata(self): """ Returns ------- """ from os.path import join for id_, vol in self._volumes.items(): if vol.annotations.annotation_dir: # Check for previous done list done_file = join(vol.annotations.annotation_dir, ANNOTATION_DONE_METADATA_FILE) done_status = {} for ann in vol.annotations: done_status[ann.term] = ann.looked_at with open(done_file, 'w') as fh: fh.write(yaml.dump(done_status))

3,090

179

320

7f31bb9213a5312eb7c272816e3ae00023c5e887

16,836

py

Python

python2.7/site-packages/twisted/trial/test/test_reporter.py

84KaliPleXon3/sslstrip-hsts-openwrt

f875ded48078a3ed84bffef1e69dcbeaf2e77ae3

[ "MIT" ]

4

2020-10-31T19:52:05.000Z

2021-09-22T11:39:27.000Z

python2.7/site-packages/twisted/trial/test/test_reporter.py

84KaliPleXon3/sslstrip-hsts-openwrt

f875ded48078a3ed84bffef1e69dcbeaf2e77ae3

[ "MIT" ]

null

python2.7/site-packages/twisted/trial/test/test_reporter.py

84KaliPleXon3/sslstrip-hsts-openwrt

f875ded48078a3ed84bffef1e69dcbeaf2e77ae3

[ "MIT" ]

2

2020-02-27T08:28:35.000Z

2020-09-13T12:39:26.000Z

# Copyright (c) 2001-2004 Twisted Matrix Laboratories. # See LICENSE for details. # # Maintainer: Jonathan Lange <jml@twistedmatrix.com> import errno, sys, os, re, StringIO from twisted.internet.utils import suppressWarnings from twisted.python import failure from twisted.trial import unittest, runner, reporter, util from twisted.trial.test import erroneous class BrokenStream(object): """ Stream-ish object that raises a signal interrupt error. We use this to make sure that Trial still manages to write what it needs to write. """ written = False flushed = False class MockColorizer: """ Used by TestTreeReporter to make sure that output is colored correctly. """ supported = classmethod(supported)

35.897655

79

0.622238

# Copyright (c) 2001-2004 Twisted Matrix Laboratories. # See LICENSE for details. # # Maintainer: Jonathan Lange <jml@twistedmatrix.com> import errno, sys, os, re, StringIO from twisted.internet.utils import suppressWarnings from twisted.python import failure from twisted.trial import unittest, runner, reporter, util from twisted.trial.test import erroneous class BrokenStream(object): """ Stream-ish object that raises a signal interrupt error. We use this to make sure that Trial still manages to write what it needs to write. """ written = False flushed = False def __init__(self, fObj): self.fObj = fObj def write(self, s): if self.written: return self.fObj.write(s) self.written = True raise IOError(errno.EINTR, "Interrupted write") def flush(self): if self.flushed: return self.fObj.flush() self.flushed = True raise IOError(errno.EINTR, "Interrupted flush") class StringTest(unittest.TestCase): def stringComparison(self, expect, output): output = filter(None, output) self.failUnless(len(expect) <= len(output), "Must have more observed than expected" "lines %d < %d" % (len(output), len(expect))) REGEX_PATTERN_TYPE = type(re.compile('')) for exp, out in zip(expect, output): if exp is None: continue elif isinstance(exp, str): self.assertSubstring(exp, out) elif isinstance(exp, REGEX_PATTERN_TYPE): self.failUnless(exp.match(out), "%r did not match string %r" % (exp.pattern, out)) else: raise TypeError("don't know what to do with object %r" % (exp,)) class TestTestResult(unittest.TestCase): def setUp(self): self.result = reporter.TestResult() def test_pyunitAddError(self): # pyunit passes an exc_info tuple directly to addError try: raise RuntimeError('foo') except RuntimeError, excValue: self.result.addError(self, sys.exc_info()) failure = self.result.errors[0][1] self.assertEqual(excValue, failure.value) self.assertEqual(RuntimeError, failure.type) def test_pyunitAddFailure(self): # pyunit passes an exc_info tuple directly to addFailure try: raise self.failureException('foo') except self.failureException, excValue: self.result.addFailure(self, sys.exc_info()) failure = self.result.failures[0][1] self.assertEqual(excValue, failure.value) self.assertEqual(self.failureException, failure.type) class TestReporterRealtime(TestTestResult): def setUp(self): output = StringIO.StringIO() self.result = reporter.Reporter(output, realtime=True) class TestErrorReporting(StringTest): doubleSeparator = re.compile(r'^=+$') def setUp(self): self.loader = runner.TestLoader() self.output = StringIO.StringIO() self.result = reporter.Reporter(self.output) def getOutput(self, suite): result = self.getResult(suite) result.printErrors() return self.output.getvalue() def getResult(self, suite): suite.run(self.result) return self.result def testFormatErroredMethod(self): suite = self.loader.loadClass(erroneous.TestFailureInSetUp) output = self.getOutput(suite).splitlines() match = [self.doubleSeparator, ('[ERROR]: twisted.trial.test.erroneous.' 'TestFailureInSetUp.test_noop'), 'Traceback (most recent call last):', re.compile(r'^\s+File .*erroneous\.py., line \d+, in setUp$'), re.compile(r'^\s+raise FoolishError, ' r'.I am a broken setUp method.$'), ('twisted.trial.test.erroneous.FoolishError: ' 'I am a broken setUp method')] self.stringComparison(match, output) def testFormatFailedMethod(self): suite = self.loader.loadMethod(erroneous.TestRegularFail.test_fail) output = self.getOutput(suite).splitlines() match = [ self.doubleSeparator, '[FAIL]: ' 'twisted.trial.test.erroneous.TestRegularFail.test_fail', 'Traceback (most recent call last):', re.compile(r'^\s+File .*erroneous\.py., line \d+, in test_fail$'), re.compile(r'^\s+self\.fail$"I fail"$$'), 'twisted.trial.unittest.FailTest: I fail' ] self.stringComparison(match, output) def testDoctestError(self): from twisted.trial.test import erroneous suite = self.loader.loadDoctests(erroneous) output = self.getOutput(suite) path = 'twisted.trial.test.erroneous.unexpectedException' for substring in ['1/0', 'ZeroDivisionError', 'Exception raised:', path]: self.assertSubstring(substring, output) self.failUnless(re.search('Fail(ed|ure in) example:', output), "Couldn't match 'Failure in example: ' " "or 'Failed example: '") expect = [self.doubleSeparator, re.compile(r'\[(ERROR|FAIL)\]: .*[Dd]octest.*' + re.escape(path))] self.stringComparison(expect, output.splitlines()) def testHiddenException(self): """ Check that errors in C{DelayedCall}s get reported, even if the test already has a failure. Only really necessary for testing the deprecated style of tests that use iterate() directly. See L{erroneous.DelayedCall.testHiddenException} for more details. """ test = erroneous.DelayedCall('testHiddenException') result = self.getResult(test) self.flushLoggedErrors(RuntimeError) self.assertEqual(len(result.errors), 1) self.assertEqual(len(result.failures), 1) self.assertEqual(result.errors[0][1].getErrorMessage(), test.hiddenExceptionMsg) class TracebackHandling(unittest.TestCase): def getErrorFrames(self, test): stream = StringIO.StringIO() result = reporter.Reporter(stream) test.run(result) bads = result.failures + result.errors assert len(bads) == 1 assert bads[0][0] == test return result._trimFrames(bads[0][1].frames) def checkFrames(self, observedFrames, expectedFrames): for observed, expected in zip(observedFrames, expectedFrames): self.assertEqual(observed[0], expected[0]) observedSegs = os.path.splitext(observed[1])[0].split(os.sep) expectedSegs = expected[1].split('/') self.assertEqual(observedSegs[-len(expectedSegs):], expectedSegs) self.assertEqual(len(observedFrames), len(expectedFrames)) def test_basic(self): test = erroneous.TestRegularFail('test_fail') frames = self.getErrorFrames(test) self.checkFrames(frames, [('test_fail', 'twisted/trial/test/erroneous')]) def test_subroutine(self): test = erroneous.TestRegularFail('test_subfail') frames = self.getErrorFrames(test) self.checkFrames(frames, [('test_subfail', 'twisted/trial/test/erroneous'), ('subroutine', 'twisted/trial/test/erroneous')]) def test_deferred(self): test = erroneous.TestFailureInDeferredChain('test_fail') frames = self.getErrorFrames(test) self.checkFrames(frames, [('_later', 'twisted/trial/test/erroneous')]) def test_noFrames(self): result = reporter.Reporter(None) self.assertEqual([], result._trimFrames([])) def test_oneFrame(self): result = reporter.Reporter(None) self.assertEqual(['fake frame'], result._trimFrames(['fake frame'])) class FormatFailures(StringTest): def setUp(self): try: raise RuntimeError('foo') except RuntimeError: self.f = failure.Failure() self.f.frames = [ ['foo', 'foo/bar.py', 5, [('x', 5)], [('y', 'orange')]], ['qux', 'foo/bar.py', 10, [('a', 'two')], [('b', 'MCMXCIX')]] ] self.stream = StringIO.StringIO() self.result = reporter.Reporter(self.stream) def test_formatDefault(self): tb = self.result._formatFailureTraceback(self.f) self.stringComparison([ 'Traceback (most recent call last):', ' File "foo/bar.py", line 5, in foo', re.compile(r'^\s*$'), ' File "foo/bar.py", line 10, in qux', re.compile(r'^\s*$'), 'RuntimeError: foo'], tb.splitlines()) def test_formatString(self): tb = ''' File "twisted/trial/unittest.py", line 256, in failUnlessSubstring return self.failUnlessIn(substring, astring, msg) exceptions.TypeError: iterable argument required ''' expected = ''' File "twisted/trial/unittest.py", line 256, in failUnlessSubstring return self.failUnlessIn(substring, astring, msg) exceptions.TypeError: iterable argument required ''' formatted = self.result._formatFailureTraceback(tb) self.assertEqual(expected, formatted) def test_mutation(self): frames = self.f.frames[:] tb = self.result._formatFailureTraceback(self.f) self.assertEqual(self.f.frames, frames) class PyunitTestNames(unittest.TestCase): def setUp(self): from twisted.trial.test import sample self.stream = StringIO.StringIO() self.test = sample.PyunitTest('test_foo') def test_verboseReporter(self): result = reporter.VerboseTextReporter(self.stream) result.startTest(self.test) output = self.stream.getvalue() self.failUnlessEqual( output, 'twisted.trial.test.sample.PyunitTest.test_foo ... ') def test_treeReporter(self): result = reporter.TreeReporter(self.stream) result.startTest(self.test) output = self.stream.getvalue() output = output.splitlines()[-1].strip() self.failUnlessEqual(output, result.getDescription(self.test) + ' ...') def test_getDescription(self): result = reporter.TreeReporter(self.stream) output = result.getDescription(self.test) self.failUnlessEqual(output, 'test_foo') def test_minimalReporter(self): result = reporter.MinimalReporter(self.stream) self.test.run(result) result.printSummary() output = self.stream.getvalue().strip().split(' ') self.failUnlessEqual(output[1:], ['1', '1', '0', '0', '0']) class TrialTestNames(unittest.TestCase): def setUp(self): from twisted.trial.test import sample self.stream = StringIO.StringIO() self.test = sample.FooTest('test_foo') def test_verboseReporter(self): result = reporter.VerboseTextReporter(self.stream) result.startTest(self.test) output = self.stream.getvalue() self.failUnlessEqual(output, self.test.id() + ' ... ') def test_treeReporter(self): result = reporter.TreeReporter(self.stream) result.startTest(self.test) output = self.stream.getvalue() output = output.splitlines()[-1].strip() self.failUnlessEqual(output, result.getDescription(self.test) + ' ...') def test_treeReporterWithDocstrings(self): """A docstring""" result = reporter.TreeReporter(self.stream) self.assertEqual(result.getDescription(self), 'test_treeReporterWithDocstrings') def test_getDescription(self): result = reporter.TreeReporter(self.stream) output = result.getDescription(self.test) self.failUnlessEqual(output, "test_foo") class SkipTest(unittest.TestCase): def setUp(self): from twisted.trial.test import sample self.stream = StringIO.StringIO() self.result = reporter.Reporter(self.stream) self.test = sample.FooTest('test_foo') def test_accumulation(self): self.result.addSkip(self.test, 'some reason') self.failUnlessEqual(1, len(self.result.skips)) def test_success(self): self.result.addSkip(self.test, 'some reason') self.failUnlessEqual(True, self.result.wasSuccessful()) def test_summary(self): self.result.addSkip(self.test, 'some reason') self.result.printSummary() output = self.stream.getvalue() prefix = 'PASSED ' self.failUnless(output.startswith(prefix)) self.failUnlessEqual(output[len(prefix):].strip(), '(skips=1)') def test_basicErrors(self): self.result.addSkip(self.test, 'some reason') self.result.printErrors() output = self.stream.getvalue().splitlines()[-1] self.failUnlessEqual(output.strip(), 'some reason') def test_booleanSkip(self): self.result.addSkip(self.test, True) self.result.printErrors() output = self.stream.getvalue().splitlines()[-1] self.failUnlessEqual(output.strip(), 'True') def test_exceptionSkip(self): try: 1/0 except Exception, e: error = e self.result.addSkip(self.test, error) self.result.printErrors() output = '\n'.join(self.stream.getvalue().splitlines()[3:]).strip() self.failUnlessEqual(output, str(e)) class MockColorizer: """ Used by TestTreeReporter to make sure that output is colored correctly. """ def __init__(self, stream): self.log = [] def supported(self): return True supported = classmethod(supported) def write(self, text, color): self.log.append((color, text)) class TestTreeReporter(unittest.TestCase): def setUp(self): from twisted.trial.test import sample self.test = sample.FooTest('test_foo') self.stream = StringIO.StringIO() self.result = reporter.TreeReporter(self.stream) self.result._colorizer = MockColorizer(self.stream) self.log = self.result._colorizer.log def makeError(self): try: 1/0 except ZeroDivisionError: f = failure.Failure() return f def test_cleanupError(self): """ Run cleanupErrors and check that the output is correct, and colored correctly. """ f = self.makeError() self.result.cleanupErrors(f) color, text = self.log[0] self.assertEqual(color.strip(), self.result.ERROR) self.assertEqual(text.strip(), 'cleanup errors') color, text = self.log[1] self.assertEqual(color.strip(), self.result.ERROR) self.assertEqual(text.strip(), '[ERROR]') test_cleanupError = suppressWarnings( test_cleanupError, util.suppress(category=reporter.BrokenTestCaseWarning)) class TestReporter(unittest.TestCase): resultFactory = reporter.Reporter def setUp(self): from twisted.trial.test import sample self.test = sample.FooTest('test_foo') self.stream = StringIO.StringIO() self.result = self.resultFactory(self.stream) self._timer = 0 self.result._getTime = self._getTime def _getTime(self): self._timer += 1 return self._timer def test_startStop(self): self.result.startTest(self.test) self.result.stopTest(self.test) self.assertTrue(self.result._lastTime > 0) self.assertEqual(self.result.testsRun, 1) self.assertEqual(self.result.wasSuccessful(), True) def test_brokenStream(self): """ Test that the reporter safely writes to its stream. """ result = self.resultFactory(stream=BrokenStream(self.stream)) result.writeln("Hello") self.assertEqual(self.stream.getvalue(), 'Hello\n') self.stream.truncate(0) result.writeln("Hello %s!", 'World') self.assertEqual(self.stream.getvalue(), 'Hello World!\n') class TestSafeStream(unittest.TestCase): def test_safe(self): """ Test that L{reporter.SafeStream} successfully write to its original stream even if an interrupt happens during the write. """ stream = StringIO.StringIO() broken = BrokenStream(stream) safe = reporter.SafeStream(broken) safe.write("Hello") self.assertEqual(stream.getvalue(), "Hello") class TestTimingReporter(TestReporter): resultFactory = reporter.TimingTextReporter

11,697

3,167

1,209

beb3e066fe6e8c920e49769ce5fec01b8e52d337

218

py

Python

run.py

lowell-dev-club/live-flask-workshop

a57a3db79fd772a6676ad3bce1ff45e1a5c1c06d

[ "MIT" ]

null

run.py

lowell-dev-club/live-flask-workshop

a57a3db79fd772a6676ad3bce1ff45e1a5c1c06d

[ "MIT" ]

null

run.py

lowell-dev-club/live-flask-workshop

a57a3db79fd772a6676ad3bce1ff45e1a5c1c06d

[ "MIT" ]

null

# Import Flask app object from project folder (For python this means from the __init__.py file) from project import app # Run flask app with debug on and listening on port 8000 app.run( debug=True, port=8000 )

27.25

95

0.747706

# Import Flask app object from project folder (For python this means from the __init__.py file) from project import app # Run flask app with debug on and listening on port 8000 app.run( debug=True, port=8000 )

0

acb8f38d1fce7e807bb197cfdc155940d8636b58

704

py

Python

Section 4 - Lists/prediction exercise.py

gitjot/python-for-lccs

a8a4ae8847abbc33361f80183c06d57b20523382

[ "CC0-1.0" ]

10

2020-02-14T14:28:15.000Z

2022-02-02T18:44:11.000Z

Section 4 - Lists/prediction exercise.py

gitjot/python-for-lccs

a8a4ae8847abbc33361f80183c06d57b20523382

[ "CC0-1.0" ]

null

Section 4 - Lists/prediction exercise.py

gitjot/python-for-lccs

a8a4ae8847abbc33361f80183c06d57b20523382

[ "CC0-1.0" ]

8

2020-03-25T09:27:42.000Z

2021-11-03T15:24:38.000Z

# Event: LCCS Python Fundamental Skills Workshop # Date: May 2018 # Author: Joe English, PDST # eMail: computerscience@pdst.ie # Purpose: Prediction exercise fruits = ['Strawberry', 'Lemon', 'Orange', 'Raspberry', 'Cherry'] print(fruits[0]) print(fruits[3]) print(fruits[2]) print(fruits[len(fruits)-1]) print(fruits[1]) fruit = fruits[2+2] print(fruit) print(fruit[0]) orange = fruits[1] print(orange) lemon = fruits[1] print(lemon) # Additional question (on the same page) # A string is in fact a list of single character strings # The first index refers to the list element # The second index is applied to that element print(fruits[0][0]+fruits[1][0]+fruits[2][0])

23.466667

66

0.693182

# Event: LCCS Python Fundamental Skills Workshop # Date: May 2018 # Author: Joe English, PDST # eMail: computerscience@pdst.ie # Purpose: Prediction exercise fruits = ['Strawberry', 'Lemon', 'Orange', 'Raspberry', 'Cherry'] print(fruits[0]) print(fruits[3]) print(fruits[2]) print(fruits[len(fruits)-1]) print(fruits[1]) fruit = fruits[2+2] print(fruit) print(fruit[0]) orange = fruits[1] print(orange) lemon = fruits[1] print(lemon) # Additional question (on the same page) # A string is in fact a list of single character strings # The first index refers to the list element # The second index is applied to that element print(fruits[0][0]+fruits[1][0]+fruits[2][0])

0

b5797a6e0b5ac972df8e6cf74d6538070b12831e

762

py

Python

src/Overload.py

LukeMcCulloch/PyCFD

6720e6575e25f8c274ef591d6c215de90a740935

[ "MIT" ]

1

2020-07-04T15:42:15.000Z

src/Overload.py

LukeMcCulloch/PyCFD

6720e6575e25f8c274ef591d6c215de90a740935

[ "MIT" ]

null

src/Overload.py

LukeMcCulloch/PyCFD

6720e6575e25f8c274ef591d6c215de90a740935

[ "MIT" ]

null

#!/usr/bin/env python2 # -*- coding: utf-8 -*- """ Created on Sat Jan 4 07:43:40 2020 @author: lukemcculloch """ import numpy as np

21.771429

45

0.566929

#!/usr/bin/env python2 # -*- coding: utf-8 -*- """ Created on Sat Jan 4 07:43:40 2020 @author: lukemcculloch """ import numpy as np class Overload(object): def __init__(self, vector): self.vector = vector self.parentcell = [] def __add__(self, other): if isinstance(other, Overload): return self.vector + other.vector else: return self.vector + other def __radd__(self, other): return self.__add__(other) def __sub__(self, other): if isinstance(other, Overload): return self.vector - other.vector else: return self.vector - other def __rsub__(self, other): return self.__sub__(other)

430

2

178

8f049df44809d1fe48e8f05eb98329ff0b64f235

126

py

Python

clu/__init__.py

basameera/CLI-Utils

7f52ffa3fee29ee7a7d864a497e4f947f94c40e0

[ "MIT" ]

null

clu/__init__.py

basameera/CLI-Utils

7f52ffa3fee29ee7a7d864a497e4f947f94c40e0

[ "MIT" ]

1

2020-05-06T20:37:48.000Z

clu/__init__.py

basameera/CLI-Utils

7f52ffa3fee29ee7a7d864a497e4f947f94c40e0

[ "MIT" ]

null

from .vsr import VERSION __version__ = VERSION __author__ = 'Sameera Sandaruwan' __author_email__ = 'basameera@protonmail.com'

31.5

45

0.81746

from .vsr import VERSION __version__ = VERSION __author__ = 'Sameera Sandaruwan' __author_email__ = 'basameera@protonmail.com'

0

44af19045c58f933bd90128459e09cb4e7656830

3,295

py

Python

simpleblog/tests/test_functional_tests.py

blacktower2016/simpleblog

e0a7e79de7daf3774518a21f6e3c808e2fc79ec5

[ "MIT" ]

null

simpleblog/tests/test_functional_tests.py

blacktower2016/simpleblog

e0a7e79de7daf3774518a21f6e3c808e2fc79ec5

[ "MIT" ]

null

simpleblog/tests/test_functional_tests.py

blacktower2016/simpleblog

e0a7e79de7daf3774518a21f6e3c808e2fc79ec5

[ "MIT" ]

null

from django.test import LiveServerTestCase from selenium import webdriver from django.urls import reverse from django.utils.translation import activate, gettext_lazy as _ from .creation_utils import create_user, create_post from simpleblog.models import Post if __name__ == '__main__': unittest.main()

37.022472

84

0.692261

from django.test import LiveServerTestCase from selenium import webdriver from django.urls import reverse from django.utils.translation import activate, gettext_lazy as _ from .creation_utils import create_user, create_post from simpleblog.models import Post class TestPostCreate(LiveServerTestCase): def setUp(self): self.driver = webdriver.Firefox() self.user = create_user() #activate("en") def test_log_in_and_create_new_post(self): # user come to the simpleblog to create post self.driver.get(self.live_server_url+reverse("simpleblog:create-post")) self.assertEqual(Post.objects.count(), 0) self.assertIn("<h2>Вход</h2>", self.driver.page_source) # Oh, I forgot to log in! self.driver.find_element_by_id("id_username").send_keys("user") self.driver.find_element_by_id("id_password").send_keys("password") self.driver.find_element_by_tag_name('button').click() self.assertIn("user", self.driver.page_source) # create post self.driver.find_element_by_partial_link_text("Новая").click() self.assertIn("Новая запись", self.driver.page_source) self.driver.find_element_by_id("id_title").send_keys("New post title") self.driver.find_element_by_id("id_subtitle").send_keys("New post subtitle") self.driver.find_element_by_id("id_text").send_keys("New post text") self.driver.find_element_by_id("id_tags").send_keys("New post tag") self.driver.find_element_by_tag_name('button').click() self.assertEqual(Post.objects.count(), 1) def tearDown(self): self.driver.quit() pass class TestPostUpdate(LiveServerTestCase): def setUp(self): self.driver = webdriver.Firefox() self.user = create_user() self.post = create_post(author=self.user, is_public=True) #activate("en") def test_log_in_and_update_post(self): # user come to the simpleblog to create post self.driver.get(self.live_server_url+reverse("simpleblog:create-post")) self.assertEqual(Post.objects.count(), 1) self.assertIn("<h2>Вход</h2>", self.driver.page_source) # Oh, I forgot to log in! self.driver.find_element_by_id("id_username").send_keys("user") self.driver.find_element_by_id("id_password").send_keys("password") self.driver.find_element_by_tag_name('button').click() self.assertIn("user", self.driver.page_source) # create post self.driver.find_element_by_partial_link_text("Мои записи").click() self.driver.find_element_by_class_name("fa-edit").click() self.assertIn("<h2>Редактирование записи</h2>", self.driver.page_source) self.driver.find_element_by_id("id_title").send_keys("New post title") self.driver.find_element_by_id("id_subtitle").send_keys("New post subtitle") self.driver.find_element_by_id("id_text").send_keys("New post text") self.driver.find_element_by_id("id_tags").send_keys("New post tag") self.driver.find_element_by_tag_name('button').click() self.assertEqual(Post.objects.count(), 1) def tearDown(self): self.driver.quit() pass if __name__ == '__main__': unittest.main()

2,793

40

208

877a288b95e328f85cddeb7a00bdc71a41bafbba

498

py

Python

arrays/first_duplicate_value.py

maanavshah/coding-interview

4c842cdbc6870da79684635f379966d1caec2162

[ "MIT" ]

null

arrays/first_duplicate_value.py

maanavshah/coding-interview

4c842cdbc6870da79684635f379966d1caec2162

[ "MIT" ]

null

arrays/first_duplicate_value.py

maanavshah/coding-interview

4c842cdbc6870da79684635f379966d1caec2162

[ "MIT" ]

null

# O(n) time | O(n) space # O(n) time | O(1) space

24.9

41

0.566265

# O(n) time | O(n) space def firstDuplicateValue(array): seenElements = {} for idx, element in enumerate(array): if element in seenElements: return element else: seenElements[element] = idx return -1 # O(n) time | O(1) space def firstDuplicateValue(array): for element in array: absValue = abs(element) if array[absValue - 1] < 0: return absValue else: array[absValue - 1] *= -1 return -1

403

0

44

0aaae7be3b0ace41a6421efe879e353e865df314

4,063

py

Python

Sources/Workflows/Shanbay_Alfred2_Workflow/shanbay.py

yagosys/AlfredWorkflow.com

9e5087e61fb89640a7a6ca89ba554303aec0b037

[ "MIT" ]

2,177

2015-01-02T09:56:51.000Z

2022-03-27T01:48:37.000Z

Sources/Workflows/Shanbay_Alfred2_Workflow/shanbay.py

yagosys/AlfredWorkflow.com

9e5087e61fb89640a7a6ca89ba554303aec0b037

[ "MIT" ]

24

2015-01-02T19:11:51.000Z

2021-01-27T07:20:33.000Z

Sources/Workflows/Shanbay_Alfred2_Workflow/shanbay.py

yagosys/AlfredWorkflow.com

9e5087e61fb89640a7a6ca89ba554303aec0b037

[ "MIT" ]

516

2015-01-02T18:48:29.000Z

2022-01-26T07:12:35.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- #! 强制默认编码为utf-8 import sys reload(sys) sys.setdefaultencoding('utf8') import urllib, urllib2, json, time from pprint import pprint from pdb import set_trace import requests from lxml import html from alfred.feedback import Feedback from config import service, addword, loginurl, username, pwd # 扇贝词典 if __name__ == '__main__': d = ShanbayDict() d.query(sys.argv[1]) d.output()

31.992126

123

0.535811

#!/usr/bin/env python # -*- coding: utf-8 -*- #! 强制默认编码为utf-8 import sys reload(sys) sys.setdefaultencoding('utf8') import urllib, urllib2, json, time from pprint import pprint from pdb import set_trace import requests from lxml import html from alfred.feedback import Feedback from config import service, addword, loginurl, username, pwd # 扇贝词典 class ShanbayDict(): def __init__(self): self.service = service self.query_word ='' self.feedback = Feedback() # 从字典中安全的取出值 self.save_get_dict_value = lambda d, k: d[k] if d.has_key(k) else '' def get_csrfmiddlewaretoken(self): page = requests.get(loginurl).text script = html.fromstring(page).xpath("(//input[@name='csrfmiddlewaretoken']/@value)[1]")[0] return script def login(self): csrftoken = self.get_csrfmiddlewaretoken() postdata = {} postdata['csrfmiddlewaretoken'] = csrftoken postdata['username'] = username postdata['password'] = pwd postdata['login'] = '' postdata['continue'] = 'home' postdata['u'] = 1 postdata['next'] = '/review/new/' headers = { 'User-Agent':'Mozilla/5.0 (X11; Linux i686; rv:8.0) Gecko/20100101 Firefox/8.0', 'Host':'www.shanbay.com', 'Origin':'http://www.shanbay.com', 'Referer':'http://www.shanbay.com/accounts/login/', 'Cookie':'csrftoken='+csrftoken+';csrftoken='+csrftoken+';sessionid=f7df88e25d184e487df6ddc6a88caafb;', 'Accept':'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8', 'Accept-Charset':'UTF-8,*;q=0.5', 'Accept-Encoding':'gzip,deflate,sdc', 'Accept-Language':'en-US,en;q=0.8,zh-CN;q=0.6,zh;q=0.4', 'Cache-Control':'max-age=0', 'Connection':'keep-alive', 'Content-Type':'application/x-www-form-urlencoded' } #r = requests.post(url, data=json.dumps(postdata), headers=headers) r = requests.post(loginurl, data=postdata, headers=headers) #print r.status_code #print r.headers self.cookies = r.cookies return True if r.status_code == 200 else False def fetch(self, word): islogin = self.login() if islogin == False: print '登陆失败' return url = self.service+word try: r = requests.get(url, cookies = self.cookies) res = json.loads(r.text) except: return {} return res def parse(self, data): if(data['voc']): voc = data['voc'] word = voc['content'] # 发音 pron = voc['pron'] title = "%s [%s]" % (word, pron) subtitle = voc['definition'] self.addItem(title = title, subtitle = subtitle, arg = word) # 解释 if voc.has_key('en_definitions') and voc['en_definitions']: for type in voc['en_definitions']: for line in voc['en_definitions'][type]: title = type+', '+line if not title: continue self.addItem(title = title, arg = word) else: self.addItem(title='no results') def query(self, word): if not word or not isinstance(word, (str, unicode)): return self.query_word = word self.parse( self.fetch(word) ) def addItem(self, **kwargs): self.feedback.addItem(**kwargs) def output(self): if self.feedback.isEmpty(): self.addItem( title = self.query_word, subtitle = 'Sorry, no result.', arg = self.query_word ) print(self.feedback.get(unescape = True)) if __name__ == '__main__': d = ShanbayDict() d.query(sys.argv[1]) d.output()

3,419

-1

237

8dcef86aa8287856e10a453698de6d0f45be68cd

78

py

Python

odl_details.py

vaibhgupta157/PathCompute

44109176dc3770f7742e4e70225083ffe8eccad7

[ "MIT" ]

5

2019-08-05T20:00:03.000Z

2021-11-24T07:39:06.000Z

odl_details.py

vaibhgupta157/PathCompute

44109176dc3770f7742e4e70225083ffe8eccad7

[ "MIT" ]

1

2019-07-15T13:04:45.000Z

2019-10-10T02:21:51.000Z

odl_details.py

vaibhgupta157/PathCompute

44109176dc3770f7742e4e70225083ffe8eccad7

[ "MIT" ]

2

2019-08-01T21:17:15.000Z

2020-09-30T20:19:49.000Z

ODL_IP = "127.0.0.1" ODL_PORT = "8181" ODL_USER = "admin" ODL_PASS = "admin"

13

20

0.641026

ODL_IP = "127.0.0.1" ODL_PORT = "8181" ODL_USER = "admin" ODL_PASS = "admin"

0

174da0292817370750a98ca1b863b2c249ba736f

574

py

Python

nova_dveri_ru/html_work/html_code.py

Aleksey-Voko/nova_dveri_ru

7657c81e12f4486100385b9f181895f7688a8106

[ "MIT" ]

null

nova_dveri_ru/html_work/html_code.py

Aleksey-Voko/nova_dveri_ru

7657c81e12f4486100385b9f181895f7688a8106

[ "MIT" ]

null

nova_dveri_ru/html_work/html_code.py

Aleksey-Voko/nova_dveri_ru

7657c81e12f4486100385b9f181895f7688a8106

[ "MIT" ]

null

import requests from nova_dveri_ru.data import USER_AGENT if __name__ == '__main__': url = 'https://nova-dveri.ru/mezhkomnatnye-dveri/ehkoshpon/il%20doors/dver-galleya-07-chern-yasen-svetlyj' out_html_file = 'galleya-07-chern-yasen-svetlyj.html' save_html_code(url, out_html_file)

27.333333

110

0.705575

import requests from nova_dveri_ru.data import USER_AGENT def save_html_code(input_url: str, out_file: str): headers = { 'User-Agent': USER_AGENT, } response = requests.get(input_url, headers=headers) html_code = response.text with open(out_file, 'w', encoding='utf-8') as fl: fl.write(html_code) if __name__ == '__main__': url = 'https://nova-dveri.ru/mezhkomnatnye-dveri/ehkoshpon/il%20doors/dver-galleya-07-chern-yasen-svetlyj' out_html_file = 'galleya-07-chern-yasen-svetlyj.html' save_html_code(url, out_html_file)

254

0

23

3fd50a97d477c6606a8e1d7b5ef666f3120603de

6,976

py

Python

src/mutiny/_internal/models/user.py

jack1142/Mutiny

586dc7131c0d9eba98a271601a446e00792e8cde

[ "ECL-2.0", "Apache-2.0" ]

20

2021-08-18T20:46:16.000Z

2022-01-06T22:53:25.000Z

src/mutiny/_internal/models/user.py

jack1142/Mutiny

586dc7131c0d9eba98a271601a446e00792e8cde

[ "ECL-2.0", "Apache-2.0" ]

null

src/mutiny/_internal/models/user.py

jack1142/Mutiny

586dc7131c0d9eba98a271601a446e00792e8cde

[ "ECL-2.0", "Apache-2.0" ]

null

# Copyright 2021 Jakub Kuczys (https://github.com/jack1142) # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """User models""" from __future__ import annotations from typing import TYPE_CHECKING, Any, Optional, final from ..bit_fields import Badges, UserFlags from ..enums import Presence, RelationshipStatus from .attachment import Attachment from .bases import Model, ParserData, StatefulModel, StatefulResource, field if TYPE_CHECKING: from ...events import UserUpdateEvent from ..state import State __all__ = ( "User", "BotInfo", "Relationship", "Status", "UserProfile", ) @final class Status(Model): """ Status() Represents a user's status. Attributes: text: The custom status text. presence: The user's presence. """ text: Optional[str] = field("text", default=None) # Users who have never changed their presence do not have the `presence`. # New users start with an Online presence, # so that's what we should use in such case. presence: Presence = field("presence", factory=True, default="Online") @final class Relationship(StatefulModel): """ Relationship() Represents the client user's relationship with other user. Attributes: user_id: The ID of the other user in this relation. status: The relationship's status. """ user_id: str = field("_id") status: RelationshipStatus = field("status", factory=True) @final class BotInfo(StatefulModel): """ BotInfo() Represents the information about a bot user. Attributes: owner_id: The ID of the bot owner. """ owner_id: str = field("owner") @classmethod @final class UserProfile(StatefulModel): """ UserProfile() Represents a profile of a user. Attributes: content: The profile content if provided. background: The profile background if provided. """ content: Optional[str] = field("content", default=None) background: Optional[Attachment] = field("background", factory=True, default=None) @classmethod @final class User(StatefulResource): """ User() Represents a user. Attributes: id: The user ID. username: The username. avatar: The user's avatar. relations: The user's relations. This is only present for the client user. badges: The user's badges. status: The user's status. relationship_status: The client user's relationship status with this user. online: Indicates whether the user is online. flags: The user flags. bot: The information about this bot, or `None` if this user is not a bot. profile: The user's profile. """ id: str = field("_id") username: str = field("username") avatar: Optional[Attachment] = field("avatar", factory=True, default=None) relations: Optional[dict[str, Relationship]] = field( "relations", factory=True, default=None ) badges: Badges = field("badges", factory=True, default=0) status: Status = field("status", factory=True, default_factory=dict) relationship_status: Optional[RelationshipStatus] = field( "relationship", factory=True, default=None ) online: bool = field("online") flags: UserFlags = field("flags", factory=True, default=0) bot: Optional[BotInfo] = field("bot", factory=True, default=None) profile: Optional[UserProfile] = field("profile", factory=True, default=None)

32.446512

88

0.673595

# Copyright 2021 Jakub Kuczys (https://github.com/jack1142) # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """User models""" from __future__ import annotations from typing import TYPE_CHECKING, Any, Optional, final from ..bit_fields import Badges, UserFlags from ..enums import Presence, RelationshipStatus from .attachment import Attachment from .bases import Model, ParserData, StatefulModel, StatefulResource, field if TYPE_CHECKING: from ...events import UserUpdateEvent from ..state import State __all__ = ( "User", "BotInfo", "Relationship", "Status", "UserProfile", ) @final class Status(Model): """ Status() Represents a user's status. Attributes: text: The custom status text. presence: The user's presence. """ text: Optional[str] = field("text", default=None) # Users who have never changed their presence do not have the `presence`. # New users start with an Online presence, # so that's what we should use in such case. presence: Presence = field("presence", factory=True, default="Online") def _presence_parser(self, parser_data: ParserData) -> Presence: return Presence(parser_data.get_field()) @final class Relationship(StatefulModel): """ Relationship() Represents the client user's relationship with other user. Attributes: user_id: The ID of the other user in this relation. status: The relationship's status. """ user_id: str = field("_id") status: RelationshipStatus = field("status", factory=True) def _status_parser(self, parser_data: ParserData) -> RelationshipStatus: return RelationshipStatus(parser_data.get_field()) @final class BotInfo(StatefulModel): """ BotInfo() Represents the information about a bot user. Attributes: owner_id: The ID of the bot owner. """ owner_id: str = field("owner") @classmethod def _from_raw_data( cls, state: State, raw_data: Optional[dict[str, Any]] ) -> Optional[BotInfo]: if raw_data is None: return None return cls(state, raw_data) @final class UserProfile(StatefulModel): """ UserProfile() Represents a profile of a user. Attributes: content: The profile content if provided. background: The profile background if provided. """ content: Optional[str] = field("content", default=None) background: Optional[Attachment] = field("background", factory=True, default=None) def _background_parser(self, parser_data: ParserData) -> Optional[Attachment]: return Attachment._from_raw_data(self._state, parser_data.get_field()) @classmethod def _from_raw_data( cls, state: State, raw_data: Optional[dict[str, Any]] ) -> Optional[UserProfile]: if raw_data is None: return None return cls(state, raw_data) @final class User(StatefulResource): """ User() Represents a user. Attributes: id: The user ID. username: The username. avatar: The user's avatar. relations: The user's relations. This is only present for the client user. badges: The user's badges. status: The user's status. relationship_status: The client user's relationship status with this user. online: Indicates whether the user is online. flags: The user flags. bot: The information about this bot, or `None` if this user is not a bot. profile: The user's profile. """ id: str = field("_id") username: str = field("username") avatar: Optional[Attachment] = field("avatar", factory=True, default=None) relations: Optional[dict[str, Relationship]] = field( "relations", factory=True, default=None ) badges: Badges = field("badges", factory=True, default=0) status: Status = field("status", factory=True, default_factory=dict) relationship_status: Optional[RelationshipStatus] = field( "relationship", factory=True, default=None ) online: bool = field("online") flags: UserFlags = field("flags", factory=True, default=0) bot: Optional[BotInfo] = field("bot", factory=True, default=None) profile: Optional[UserProfile] = field("profile", factory=True, default=None) def _avatar_parser(self, parser_data: ParserData) -> Optional[Attachment]: return Attachment._from_raw_data(self._state, parser_data.get_field()) def _relations_parser( self, parser_data: ParserData ) -> Optional[dict[str, Relationship]]: relations_data = parser_data.get_field() if relations_data is None: return None return {data["_id"]: Relationship(self._state, data) for data in relations_data} def _badges_parser(self, parser_data: ParserData) -> Badges: return Badges(parser_data.get_field()) def _status_parser(self, parser_data: ParserData) -> Status: return Status(parser_data.get_field()) def _relationship_status_parser( self, parser_data: ParserData ) -> Optional[RelationshipStatus]: return RelationshipStatus._from_raw_data(parser_data.get_field()) def _flags_parser(self, parser_data: ParserData) -> UserFlags: return UserFlags(parser_data.get_field()) def _bot_parser(self, parser_data: ParserData) -> Optional[BotInfo]: return BotInfo._from_raw_data(self._state, parser_data.get_field()) def _profile_parser(self, parser_data: ParserData) -> Optional[UserProfile]: return UserProfile._from_raw_data(self._state, parser_data.get_field()) def _update_from_event(self, event: UserUpdateEvent) -> None: if event.clear == "ProfileContent": if self.profile is not None: self.profile.raw_data.pop("content", None) self.profile.content = None elif event.clear == "ProfileBackground": if self.profile is not None: self.profile.raw_data.pop("background", None) self.profile.background = None elif event.clear == "StatusText": self.status.raw_data.pop("text", None) self.status.text = None elif event.clear == "Avatar": self.raw_data["avatar"] = None self.avatar = None # XXX: updates to `profile` are currently not handled # due to the use of dot notation self._update_from_dict(event.data)

2,605

0

376

ffafc0fccda94ffbed91a8280654703587dbde9e

355

py

Python

profit/types/blockchain_format/pool_target.py

zcomputerwiz/profit-blockchain

d6d4337ea7c418c66f05f22a263e94190452aed6

[ "Apache-2.0" ]

7

2022-03-15T01:33:35.000Z

2022-03-26T21:29:45.000Z

profit/types/blockchain_format/pool_target.py

zcomputerwiz/profit-blockchain

d6d4337ea7c418c66f05f22a263e94190452aed6

[ "Apache-2.0" ]

3

2022-03-19T23:02:18.000Z

2022-03-19T23:02:19.000Z

profit/types/blockchain_format/pool_target.py

zcomputerwiz/profit-blockchain

d6d4337ea7c418c66f05f22a263e94190452aed6

[ "Apache-2.0" ]

null

from dataclasses import dataclass from profit.types.blockchain_format.sized_bytes import bytes32 from profit.util.ints import uint32 from profit.util.streamable import Streamable, streamable @dataclass(frozen=True) @streamable

27.307692

69

0.811268

from dataclasses import dataclass from profit.types.blockchain_format.sized_bytes import bytes32 from profit.util.ints import uint32 from profit.util.streamable import Streamable, streamable @dataclass(frozen=True) @streamable class PoolTarget(Streamable): puzzle_hash: bytes32 max_height: uint32 # A max height of 0 means it is valid forever

0

103

22

0addda13f42195fa3b166c4628f48102cc4fb485

33,961

py

Python

Lib/site-packages/win32/lib/winnt.py

raychorn/svn_Python-2.5.1

425005b1b489ba44ec0bb989e077297e8953d9be

[ "PSF-2.0" ]

null

Lib/site-packages/win32/lib/winnt.py

raychorn/svn_Python-2.5.1

425005b1b489ba44ec0bb989e077297e8953d9be

[ "PSF-2.0" ]

null

Lib/site-packages/win32/lib/winnt.py

raychorn/svn_Python-2.5.1

425005b1b489ba44ec0bb989e077297e8953d9be

[ "PSF-2.0" ]

null

# Generated by h2py from \mssdk\include\winnt.h APPLICATION_ERROR_MASK = 536870912 ERROR_SEVERITY_SUCCESS = 0 ERROR_SEVERITY_INFORMATIONAL = 1073741824 ERROR_SEVERITY_WARNING = -2147483648 ERROR_SEVERITY_ERROR = -1073741824 MINCHAR = 128 MAXCHAR = 127 MINSHORT = 32768 MAXSHORT = 32767 MINLONG = -2147483648 MAXLONG = 2147483647 MAXBYTE = 255 MAXWORD = 65535 MAXDWORD = -1 LANG_NEUTRAL = 0 LANG_AFRIKAANS = 54 LANG_ALBANIAN = 28 LANG_ARABIC = 1 LANG_BASQUE = 45 LANG_BELARUSIAN = 35 LANG_BULGARIAN = 2 LANG_CATALAN = 3 LANG_CHINESE = 4 LANG_CROATIAN = 26 LANG_CZECH = 5 LANG_DANISH = 6 LANG_DUTCH = 19 LANG_ENGLISH = 9 LANG_ESTONIAN = 37 LANG_FAEROESE = 56 LANG_FARSI = 41 LANG_FINNISH = 11 LANG_FRENCH = 12 LANG_GERMAN = 7 LANG_GREEK = 8 LANG_HEBREW = 13 LANG_HINDI = 57 LANG_HUNGARIAN = 14 LANG_ICELANDIC = 15 LANG_INDONESIAN = 33 LANG_ITALIAN = 16 LANG_JAPANESE = 17 LANG_KOREAN = 18 LANG_LATVIAN = 38 LANG_LITHUANIAN = 39 LANG_MACEDONIAN = 47 LANG_MALAY = 62 LANG_NORWEGIAN = 20 LANG_POLISH = 21 LANG_PORTUGUESE = 22 LANG_ROMANIAN = 24 LANG_RUSSIAN = 25 LANG_SERBIAN = 26 LANG_SLOVAK = 27 LANG_SLOVENIAN = 36 LANG_SPANISH = 10 LANG_SWAHILI = 65 LANG_SWEDISH = 29 LANG_THAI = 30 LANG_TURKISH = 31 LANG_UKRAINIAN = 34 LANG_VIETNAMESE = 42 SUBLANG_NEUTRAL = 0 SUBLANG_DEFAULT = 1 SUBLANG_SYS_DEFAULT = 2 SUBLANG_ARABIC_SAUDI_ARABIA = 1 SUBLANG_ARABIC_IRAQ = 2 SUBLANG_ARABIC_EGYPT = 3 SUBLANG_ARABIC_LIBYA = 4 SUBLANG_ARABIC_ALGERIA = 5 SUBLANG_ARABIC_MOROCCO = 6 SUBLANG_ARABIC_TUNISIA = 7 SUBLANG_ARABIC_OMAN = 8 SUBLANG_ARABIC_YEMEN = 9 SUBLANG_ARABIC_SYRIA = 10 SUBLANG_ARABIC_JORDAN = 11 SUBLANG_ARABIC_LEBANON = 12 SUBLANG_ARABIC_KUWAIT = 13 SUBLANG_ARABIC_UAE = 14 SUBLANG_ARABIC_BAHRAIN = 15 SUBLANG_ARABIC_QATAR = 16 SUBLANG_CHINESE_TRADITIONAL = 1 SUBLANG_CHINESE_SIMPLIFIED = 2 SUBLANG_CHINESE_HONGKONG = 3 SUBLANG_CHINESE_SINGAPORE = 4 SUBLANG_CHINESE_MACAU = 5 SUBLANG_DUTCH = 1 SUBLANG_DUTCH_BELGIAN = 2 SUBLANG_ENGLISH_US = 1 SUBLANG_ENGLISH_UK = 2 SUBLANG_ENGLISH_AUS = 3 SUBLANG_ENGLISH_CAN = 4 SUBLANG_ENGLISH_NZ = 5 SUBLANG_ENGLISH_EIRE = 6 SUBLANG_ENGLISH_SOUTH_AFRICA = 7 SUBLANG_ENGLISH_JAMAICA = 8 SUBLANG_ENGLISH_CARIBBEAN = 9 SUBLANG_ENGLISH_BELIZE = 10 SUBLANG_ENGLISH_TRINIDAD = 11 SUBLANG_ENGLISH_ZIMBABWE = 12 SUBLANG_ENGLISH_PHILIPPINES = 13 SUBLANG_FRENCH = 1 SUBLANG_FRENCH_BELGIAN = 2 SUBLANG_FRENCH_CANADIAN = 3 SUBLANG_FRENCH_SWISS = 4 SUBLANG_FRENCH_LUXEMBOURG = 5 SUBLANG_FRENCH_MONACO = 6 SUBLANG_GERMAN = 1 SUBLANG_GERMAN_SWISS = 2 SUBLANG_GERMAN_AUSTRIAN = 3 SUBLANG_GERMAN_LUXEMBOURG = 4 SUBLANG_GERMAN_LIECHTENSTEIN = 5 SUBLANG_ITALIAN = 1 SUBLANG_ITALIAN_SWISS = 2 SUBLANG_KOREAN = 1 SUBLANG_KOREAN_JOHAB = 2 SUBLANG_LITHUANIAN = 1 SUBLANG_LITHUANIAN_CLASSIC = 2 SUBLANG_MALAY_MALAYSIA = 1 SUBLANG_MALAY_BRUNEI_DARUSSALAM = 2 SUBLANG_NORWEGIAN_BOKMAL = 1 SUBLANG_NORWEGIAN_NYNORSK = 2 SUBLANG_PORTUGUESE = 2 SUBLANG_PORTUGUESE_BRAZILIAN = 1 SUBLANG_SERBIAN_LATIN = 2 SUBLANG_SERBIAN_CYRILLIC = 3 SUBLANG_SPANISH = 1 SUBLANG_SPANISH_MEXICAN = 2 SUBLANG_SPANISH_MODERN = 3 SUBLANG_SPANISH_GUATEMALA = 4 SUBLANG_SPANISH_COSTA_RICA = 5 SUBLANG_SPANISH_PANAMA = 6 SUBLANG_SPANISH_DOMINICAN_REPUBLIC = 7 SUBLANG_SPANISH_VENEZUELA = 8 SUBLANG_SPANISH_COLOMBIA = 9 SUBLANG_SPANISH_PERU = 10 SUBLANG_SPANISH_ARGENTINA = 11 SUBLANG_SPANISH_ECUADOR = 12 SUBLANG_SPANISH_CHILE = 13 SUBLANG_SPANISH_URUGUAY = 14 SUBLANG_SPANISH_PARAGUAY = 15 SUBLANG_SPANISH_BOLIVIA = 16 SUBLANG_SPANISH_EL_SALVADOR = 17 SUBLANG_SPANISH_HONDURAS = 18 SUBLANG_SPANISH_NICARAGUA = 19 SUBLANG_SPANISH_PUERTO_RICO = 20 SUBLANG_SWEDISH = 1 SUBLANG_SWEDISH_FINLAND = 2 SORT_DEFAULT = 0 SORT_JAPANESE_XJIS = 0 SORT_JAPANESE_UNICODE = 1 SORT_CHINESE_BIG5 = 0 SORT_CHINESE_PRCP = 0 SORT_CHINESE_UNICODE = 1 SORT_CHINESE_PRC = 2 SORT_KOREAN_KSC = 0 SORT_KOREAN_UNICODE = 1 SORT_GERMAN_PHONE_BOOK = 1 NLS_VALID_LOCALE_MASK = 1048575 MAXIMUM_WAIT_OBJECTS = 64 MAXIMUM_SUSPEND_COUNT = MAXCHAR EXCEPTION_NONCONTINUABLE = 1 EXCEPTION_MAXIMUM_PARAMETERS = 15 PROCESS_TERMINATE = (1) PROCESS_CREATE_THREAD = (2) PROCESS_VM_OPERATION = (8) PROCESS_VM_READ = (16) PROCESS_VM_WRITE = (32) PROCESS_DUP_HANDLE = (64) PROCESS_CREATE_PROCESS = (128) PROCESS_SET_QUOTA = (256) PROCESS_SET_INFORMATION = (512) PROCESS_QUERY_INFORMATION = (1024) MAXIMUM_PROCESSORS = 32 THREAD_TERMINATE = (1) THREAD_SUSPEND_RESUME = (2) THREAD_GET_CONTEXT = (8) THREAD_SET_CONTEXT = (16) THREAD_SET_INFORMATION = (32) THREAD_QUERY_INFORMATION = (64) THREAD_SET_THREAD_TOKEN = (128) THREAD_IMPERSONATE = (256) THREAD_DIRECT_IMPERSONATION = (512) JOB_OBJECT_ASSIGN_PROCESS = (1) JOB_OBJECT_SET_ATTRIBUTES = (2) JOB_OBJECT_QUERY = (4) JOB_OBJECT_TERMINATE = (8) TLS_MINIMUM_AVAILABLE = 64 THREAD_BASE_PRIORITY_LOWRT = 15 THREAD_BASE_PRIORITY_MAX = 2 THREAD_BASE_PRIORITY_MIN = -2 THREAD_BASE_PRIORITY_IDLE = -15 JOB_OBJECT_LIMIT_WORKINGSET = 1 JOB_OBJECT_LIMIT_PROCESS_TIME = 2 JOB_OBJECT_LIMIT_JOB_TIME = 4 JOB_OBJECT_LIMIT_ACTIVE_PROCESS = 8 JOB_OBJECT_LIMIT_AFFINITY = 16 JOB_OBJECT_LIMIT_PRIORITY_CLASS = 32 JOB_OBJECT_LIMIT_VALID_FLAGS = 63 EVENT_MODIFY_STATE = 2 MUTANT_QUERY_STATE = 1 SEMAPHORE_MODIFY_STATE = 2 TIME_ZONE_ID_UNKNOWN = 0 TIME_ZONE_ID_STANDARD = 1 TIME_ZONE_ID_DAYLIGHT = 2 PROCESSOR_INTEL_386 = 386 PROCESSOR_INTEL_486 = 486 PROCESSOR_INTEL_PENTIUM = 586 PROCESSOR_MIPS_R4000 = 4000 PROCESSOR_ALPHA_21064 = 21064 PROCESSOR_HITACHI_SH3 = 10003 PROCESSOR_HITACHI_SH3E = 10004 PROCESSOR_HITACHI_SH4 = 10005 PROCESSOR_MOTOROLA_821 = 821 PROCESSOR_ARM_7TDMI = 70001 PROCESSOR_ARCHITECTURE_INTEL = 0 PROCESSOR_ARCHITECTURE_MIPS = 1 PROCESSOR_ARCHITECTURE_ALPHA = 2 PROCESSOR_ARCHITECTURE_PPC = 3 PROCESSOR_ARCHITECTURE_SH = 4 PROCESSOR_ARCHITECTURE_ARM = 5 PROCESSOR_ARCHITECTURE_UNKNOWN = 65535 PF_FLOATING_POINT_PRECISION_ERRATA = 0 PF_FLOATING_POINT_EMULATED = 1 PF_COMPARE_EXCHANGE_DOUBLE = 2 PF_MMX_INSTRUCTIONS_AVAILABLE = 3 PF_PPC_MOVEMEM_64BIT_OK = 4 PF_ALPHA_BYTE_INSTRUCTIONS = 5 SECTION_QUERY = 1 SECTION_MAP_WRITE = 2 SECTION_MAP_READ = 4 SECTION_MAP_EXECUTE = 8 SECTION_EXTEND_SIZE = 16 PAGE_NOACCESS = 1 PAGE_READONLY = 2 PAGE_READWRITE = 4 PAGE_WRITECOPY = 8 PAGE_EXECUTE = 16 PAGE_EXECUTE_READ = 32 PAGE_EXECUTE_READWRITE = 64 PAGE_EXECUTE_WRITECOPY = 128 PAGE_GUARD = 256 PAGE_NOCACHE = 512 MEM_COMMIT = 4096 MEM_RESERVE = 8192 MEM_DECOMMIT = 16384 MEM_RELEASE = 32768 MEM_FREE = 65536 MEM_PRIVATE = 131072 MEM_MAPPED = 262144 MEM_RESET = 524288 MEM_TOP_DOWN = 1048576 MEM_4MB_PAGES = -2147483648 SEC_FILE = 8388608 SEC_IMAGE = 16777216 SEC_VLM = 33554432 SEC_RESERVE = 67108864 SEC_COMMIT = 134217728 SEC_NOCACHE = 268435456 MEM_IMAGE = SEC_IMAGE FILE_READ_DATA = ( 1 ) FILE_LIST_DIRECTORY = ( 1 ) FILE_WRITE_DATA = ( 2 ) FILE_ADD_FILE = ( 2 ) FILE_APPEND_DATA = ( 4 ) FILE_ADD_SUBDIRECTORY = ( 4 ) FILE_CREATE_PIPE_INSTANCE = ( 4 ) FILE_READ_EA = ( 8 ) FILE_WRITE_EA = ( 16 ) FILE_EXECUTE = ( 32 ) FILE_TRAVERSE = ( 32 ) FILE_DELETE_CHILD = ( 64 ) FILE_READ_ATTRIBUTES = ( 128 ) FILE_WRITE_ATTRIBUTES = ( 256 ) FILE_SHARE_READ = 1 FILE_SHARE_WRITE = 2 FILE_SHARE_DELETE = 4 FILE_ATTRIBUTE_READONLY = 1 FILE_ATTRIBUTE_HIDDEN = 2 FILE_ATTRIBUTE_SYSTEM = 4 FILE_ATTRIBUTE_DIRECTORY = 16 FILE_ATTRIBUTE_ARCHIVE = 32 FILE_ATTRIBUTE_ENCRYPTED = 64 FILE_ATTRIBUTE_NORMAL = 128 FILE_ATTRIBUTE_TEMPORARY = 256 FILE_ATTRIBUTE_SPARSE_FILE = 512 FILE_ATTRIBUTE_REPARSE_POINT = 1024 FILE_ATTRIBUTE_COMPRESSED = 2048 FILE_ATTRIBUTE_OFFLINE = 4096 FILE_NOTIFY_CHANGE_FILE_NAME = 1 FILE_NOTIFY_CHANGE_DIR_NAME = 2 FILE_NOTIFY_CHANGE_ATTRIBUTES = 4 FILE_NOTIFY_CHANGE_SIZE = 8 FILE_NOTIFY_CHANGE_LAST_WRITE = 16 FILE_NOTIFY_CHANGE_LAST_ACCESS = 32 FILE_NOTIFY_CHANGE_CREATION = 64 FILE_NOTIFY_CHANGE_SECURITY = 256 FILE_ACTION_ADDED = 1 FILE_ACTION_REMOVED = 2 FILE_ACTION_MODIFIED = 3 FILE_ACTION_RENAMED_OLD_NAME = 4 FILE_ACTION_RENAMED_NEW_NAME = 5 FILE_CASE_SENSITIVE_SEARCH = 1 FILE_CASE_PRESERVED_NAMES = 2 FILE_UNICODE_ON_DISK = 4 FILE_PERSISTENT_ACLS = 8 FILE_FILE_COMPRESSION = 16 FILE_VOLUME_QUOTAS = 32 FILE_SUPPORTS_SPARSE_FILES = 64 FILE_SUPPORTS_REPARSE_POINTS = 128 FILE_SUPPORTS_REMOTE_STORAGE = 256 FILE_VOLUME_IS_COMPRESSED = 32768 FILE_SUPPORTS_OBJECT_IDS = 65536 FILE_SUPPORTS_ENCRYPTION = 131072 MAXIMUM_REPARSE_DATA_BUFFER_SIZE = ( 16 * 1024 ) IO_REPARSE_TAG_RESERVED_ZERO = (0) IO_REPARSE_TAG_RESERVED_ONE = (1) IO_REPARSE_TAG_SYMBOLIC_LINK = (2) IO_REPARSE_TAG_NSS = (5) IO_REPARSE_TAG_FILTER_MANAGER = -2147483637 IO_REPARSE_TAG_DFS = -2147483638 IO_REPARSE_TAG_SIS = -2147483641 IO_REPARSE_TAG_MOUNT_POINT = -1610612733 IO_REPARSE_TAG_HSM = -1073741820 IO_REPARSE_TAG_NSSRECOVER = (8) IO_REPARSE_TAG_RESERVED_MS_RANGE = (256) IO_REPARSE_TAG_RESERVED_RANGE = IO_REPARSE_TAG_RESERVED_ONE IO_COMPLETION_MODIFY_STATE = 2 DUPLICATE_CLOSE_SOURCE = 1 DUPLICATE_SAME_ACCESS = 2 DELETE = (65536) READ_CONTROL = (131072) WRITE_DAC = (262144) WRITE_OWNER = (524288) SYNCHRONIZE = (1048576) STANDARD_RIGHTS_REQUIRED = (983040) STANDARD_RIGHTS_READ = (READ_CONTROL) STANDARD_RIGHTS_WRITE = (READ_CONTROL) STANDARD_RIGHTS_EXECUTE = (READ_CONTROL) STANDARD_RIGHTS_ALL = (2031616) SPECIFIC_RIGHTS_ALL = (65535) IO_COMPLETION_ALL_ACCESS = STANDARD_RIGHTS_REQUIRED|SYNCHRONIZE|0x3 ACCESS_SYSTEM_SECURITY = (16777216) MAXIMUM_ALLOWED = (33554432) GENERIC_READ = (-2147483648) GENERIC_WRITE = (1073741824) GENERIC_EXECUTE = (536870912) GENERIC_ALL = (268435456) # Included from pshpack4.h # Included from poppack.h SID_REVISION = (1) SID_MAX_SUB_AUTHORITIES = (15) SID_RECOMMENDED_SUB_AUTHORITIES = (1) SidTypeUser = 1 SidTypeGroup = 2 SidTypeDomain =3 SidTypeAlias = 4 SidTypeWellKnownGroup = 5 SidTypeDeletedAccount = 6 SidTypeInvalid = 7 SidTypeUnknown = 8 SECURITY_NULL_RID = (0) SECURITY_WORLD_RID = (0) SECURITY_LOCAL_RID = (0X00000000) SECURITY_CREATOR_OWNER_RID = (0) SECURITY_CREATOR_GROUP_RID = (1) SECURITY_CREATOR_OWNER_SERVER_RID = (2) SECURITY_CREATOR_GROUP_SERVER_RID = (3) SECURITY_DIALUP_RID = (1) SECURITY_NETWORK_RID = (2) SECURITY_BATCH_RID = (3) SECURITY_INTERACTIVE_RID = (4) SECURITY_SERVICE_RID = (6) SECURITY_ANONYMOUS_LOGON_RID = (7) SECURITY_PROXY_RID = (8) SECURITY_SERVER_LOGON_RID = (9) SECURITY_PRINCIPAL_SELF_RID = (10) SECURITY_AUTHENTICATED_USER_RID = (11) SECURITY_LOGON_IDS_RID = (5) SECURITY_LOGON_IDS_RID_COUNT = (3) SECURITY_LOCAL_SYSTEM_RID = (18) SECURITY_NT_NON_UNIQUE = (21) SECURITY_BUILTIN_DOMAIN_RID = (32) DOMAIN_USER_RID_ADMIN = (500) DOMAIN_USER_RID_GUEST = (501) DOMAIN_GROUP_RID_ADMINS = (512) DOMAIN_GROUP_RID_USERS = (513) DOMAIN_GROUP_RID_GUESTS = (514) DOMAIN_ALIAS_RID_ADMINS = (544) DOMAIN_ALIAS_RID_USERS = (545) DOMAIN_ALIAS_RID_GUESTS = (546) DOMAIN_ALIAS_RID_POWER_USERS = (547) DOMAIN_ALIAS_RID_ACCOUNT_OPS = (548) DOMAIN_ALIAS_RID_SYSTEM_OPS = (549) DOMAIN_ALIAS_RID_PRINT_OPS = (550) DOMAIN_ALIAS_RID_BACKUP_OPS = (551) DOMAIN_ALIAS_RID_REPLICATOR = (552) SE_GROUP_MANDATORY = (1) SE_GROUP_ENABLED_BY_DEFAULT = (2) SE_GROUP_ENABLED = (4) SE_GROUP_OWNER = (8) SE_GROUP_LOGON_ID = (-1073741824) ACL_REVISION = (2) ACL_REVISION_DS = (4) ACL_REVISION1 = (1) ACL_REVISION2 = (2) ACL_REVISION3 = (3) ACL_REVISION4 = (4) MAX_ACL_REVISION = ACL_REVISION4 ACCESS_MIN_MS_ACE_TYPE = (0) ACCESS_ALLOWED_ACE_TYPE = (0) ACCESS_DENIED_ACE_TYPE = (1) SYSTEM_AUDIT_ACE_TYPE = (2) SYSTEM_ALARM_ACE_TYPE = (3) ACCESS_MAX_MS_V2_ACE_TYPE = (3) ACCESS_ALLOWED_COMPOUND_ACE_TYPE = (4) ACCESS_MAX_MS_V3_ACE_TYPE = (4) ACCESS_MIN_MS_OBJECT_ACE_TYPE = (5) ACCESS_ALLOWED_OBJECT_ACE_TYPE = (5) ACCESS_DENIED_OBJECT_ACE_TYPE = (6) SYSTEM_AUDIT_OBJECT_ACE_TYPE = (7) SYSTEM_ALARM_OBJECT_ACE_TYPE = (8) ACCESS_MAX_MS_OBJECT_ACE_TYPE = (8) ACCESS_MAX_MS_V4_ACE_TYPE = (8) ACCESS_MAX_MS_ACE_TYPE = (8) OBJECT_INHERIT_ACE = (1) CONTAINER_INHERIT_ACE = (2) NO_PROPAGATE_INHERIT_ACE = (4) INHERIT_ONLY_ACE = (8) INHERITED_ACE = (16) VALID_INHERIT_FLAGS = (31) SUCCESSFUL_ACCESS_ACE_FLAG = (64) FAILED_ACCESS_ACE_FLAG = (128) ACE_OBJECT_TYPE_PRESENT = 1 ACE_INHERITED_OBJECT_TYPE_PRESENT = 2 SECURITY_DESCRIPTOR_REVISION = (1) SECURITY_DESCRIPTOR_REVISION1 = (1) SECURITY_DESCRIPTOR_MIN_LENGTH = (20) SE_OWNER_DEFAULTED = (1) SE_GROUP_DEFAULTED = (2) SE_DACL_PRESENT = (4) SE_DACL_DEFAULTED = (8) SE_SACL_PRESENT = (16) SE_SACL_DEFAULTED = (32) SE_DACL_AUTO_INHERIT_REQ = (256) SE_SACL_AUTO_INHERIT_REQ = (512) SE_DACL_AUTO_INHERITED = (1024) SE_SACL_AUTO_INHERITED = (2048) SE_DACL_PROTECTED = (4096) SE_SACL_PROTECTED = (8192) SE_SELF_RELATIVE = (32768) ACCESS_OBJECT_GUID = 0 ACCESS_PROPERTY_SET_GUID = 1 ACCESS_PROPERTY_GUID = 2 ACCESS_MAX_LEVEL = 4 AUDIT_ALLOW_NO_PRIVILEGE = 1 ACCESS_DS_SOURCE_A = "Directory Service" ACCESS_DS_OBJECT_TYPE_NAME_A = "Directory Service Object" SE_PRIVILEGE_ENABLED_BY_DEFAULT = (1) SE_PRIVILEGE_ENABLED = (2) SE_PRIVILEGE_USED_FOR_ACCESS = (-2147483648) PRIVILEGE_SET_ALL_NECESSARY = (1) SE_CREATE_TOKEN_NAME = "SeCreateTokenPrivilege" SE_ASSIGNPRIMARYTOKEN_NAME = "SeAssignPrimaryTokenPrivilege" SE_LOCK_MEMORY_NAME = "SeLockMemoryPrivilege" SE_INCREASE_QUOTA_NAME = "SeIncreaseQuotaPrivilege" SE_UNSOLICITED_INPUT_NAME = "SeUnsolicitedInputPrivilege" SE_MACHINE_ACCOUNT_NAME = "SeMachineAccountPrivilege" SE_TCB_NAME = "SeTcbPrivilege" SE_SECURITY_NAME = "SeSecurityPrivilege" SE_TAKE_OWNERSHIP_NAME = "SeTakeOwnershipPrivilege" SE_LOAD_DRIVER_NAME = "SeLoadDriverPrivilege" SE_SYSTEM_PROFILE_NAME = "SeSystemProfilePrivilege" SE_SYSTEMTIME_NAME = "SeSystemtimePrivilege" SE_PROF_SINGLE_PROCESS_NAME = "SeProfileSingleProcessPrivilege" SE_INC_BASE_PRIORITY_NAME = "SeIncreaseBasePriorityPrivilege" SE_CREATE_PAGEFILE_NAME = "SeCreatePagefilePrivilege" SE_CREATE_PERMANENT_NAME = "SeCreatePermanentPrivilege" SE_BACKUP_NAME = "SeBackupPrivilege" SE_RESTORE_NAME = "SeRestorePrivilege" SE_SHUTDOWN_NAME = "SeShutdownPrivilege" SE_DEBUG_NAME = "SeDebugPrivilege" SE_AUDIT_NAME = "SeAuditPrivilege" SE_SYSTEM_ENVIRONMENT_NAME = "SeSystemEnvironmentPrivilege" SE_CHANGE_NOTIFY_NAME = "SeChangeNotifyPrivilege" SE_REMOTE_SHUTDOWN_NAME = "SeRemoteShutdownPrivilege" TOKEN_ASSIGN_PRIMARY = (1) TOKEN_DUPLICATE = (2) TOKEN_IMPERSONATE = (4) TOKEN_QUERY = (8) TOKEN_QUERY_SOURCE = (16) TOKEN_ADJUST_PRIVILEGES = (32) TOKEN_ADJUST_GROUPS = (64) TOKEN_ADJUST_DEFAULT = (128) TOKEN_ALL_ACCESS = (STANDARD_RIGHTS_REQUIRED |\ TOKEN_ASSIGN_PRIMARY |\ TOKEN_DUPLICATE |\ TOKEN_IMPERSONATE |\ TOKEN_QUERY |\ TOKEN_QUERY_SOURCE |\ TOKEN_ADJUST_PRIVILEGES |\ TOKEN_ADJUST_GROUPS |\ TOKEN_ADJUST_DEFAULT) TOKEN_READ = (STANDARD_RIGHTS_READ |\ TOKEN_QUERY) TOKEN_WRITE = (STANDARD_RIGHTS_WRITE |\ TOKEN_ADJUST_PRIVILEGES |\ TOKEN_ADJUST_GROUPS |\ TOKEN_ADJUST_DEFAULT) TOKEN_EXECUTE = (STANDARD_RIGHTS_EXECUTE) TOKEN_SOURCE_LENGTH = 8 # Token types TokenPrimary = 1 TokenImpersonation = 2 TokenUser = 1 TokenGroups = 2 TokenPrivileges = 3 TokenOwner = 4 TokenPrimaryGroup = 5 TokenDefaultDacl = 6 TokenSource = 7 TokenType = 8 TokenImpersonationLevel = 9 TokenStatistics = 10 OWNER_SECURITY_INFORMATION = (0X00000001) GROUP_SECURITY_INFORMATION = (0X00000002) DACL_SECURITY_INFORMATION = (0X00000004) SACL_SECURITY_INFORMATION = (0X00000008) IMAGE_DOS_SIGNATURE = 23117 IMAGE_OS2_SIGNATURE = 17742 IMAGE_OS2_SIGNATURE_LE = 17740 IMAGE_VXD_SIGNATURE = 17740 IMAGE_NT_SIGNATURE = 17744 IMAGE_SIZEOF_FILE_HEADER = 20 IMAGE_FILE_RELOCS_STRIPPED = 1 IMAGE_FILE_EXECUTABLE_IMAGE = 2 IMAGE_FILE_LINE_NUMS_STRIPPED = 4 IMAGE_FILE_LOCAL_SYMS_STRIPPED = 8 IMAGE_FILE_AGGRESIVE_WS_TRIM = 16 IMAGE_FILE_LARGE_ADDRESS_AWARE = 32 IMAGE_FILE_BYTES_REVERSED_LO = 128 IMAGE_FILE_32BIT_MACHINE = 256 IMAGE_FILE_DEBUG_STRIPPED = 512 IMAGE_FILE_REMOVABLE_RUN_FROM_SWAP = 1024 IMAGE_FILE_NET_RUN_FROM_SWAP = 2048 IMAGE_FILE_SYSTEM = 4096 IMAGE_FILE_DLL = 8192 IMAGE_FILE_UP_SYSTEM_ONLY = 16384 IMAGE_FILE_BYTES_REVERSED_HI = 32768 IMAGE_FILE_MACHINE_UNKNOWN = 0 IMAGE_FILE_MACHINE_I386 = 332 IMAGE_FILE_MACHINE_R3000 = 354 IMAGE_FILE_MACHINE_R4000 = 358 IMAGE_FILE_MACHINE_R10000 = 360 IMAGE_FILE_MACHINE_WCEMIPSV2 = 361 IMAGE_FILE_MACHINE_ALPHA = 388 IMAGE_FILE_MACHINE_POWERPC = 496 IMAGE_FILE_MACHINE_SH3 = 418 IMAGE_FILE_MACHINE_SH3E = 420 IMAGE_FILE_MACHINE_SH4 = 422 IMAGE_FILE_MACHINE_ARM = 448 IMAGE_NUMBEROF_DIRECTORY_ENTRIES = 16 IMAGE_SIZEOF_ROM_OPTIONAL_HEADER = 56 IMAGE_SIZEOF_STD_OPTIONAL_HEADER = 28 IMAGE_SIZEOF_NT_OPTIONAL_HEADER = 224 IMAGE_NT_OPTIONAL_HDR_MAGIC = 267 IMAGE_ROM_OPTIONAL_HDR_MAGIC = 263 IMAGE_SUBSYSTEM_UNKNOWN = 0 IMAGE_SUBSYSTEM_NATIVE = 1 IMAGE_SUBSYSTEM_WINDOWS_GUI = 2 IMAGE_SUBSYSTEM_WINDOWS_CUI = 3 IMAGE_SUBSYSTEM_WINDOWS_CE_GUI = 4 IMAGE_SUBSYSTEM_OS2_CUI = 5 IMAGE_SUBSYSTEM_POSIX_CUI = 7 IMAGE_SUBSYSTEM_RESERVED8 = 8 IMAGE_DLLCHARACTERISTICS_WDM_DRIVER = 8192 IMAGE_DIRECTORY_ENTRY_EXPORT = 0 IMAGE_DIRECTORY_ENTRY_IMPORT = 1 IMAGE_DIRECTORY_ENTRY_RESOURCE = 2 IMAGE_DIRECTORY_ENTRY_EXCEPTION = 3 IMAGE_DIRECTORY_ENTRY_SECURITY = 4 IMAGE_DIRECTORY_ENTRY_BASERELOC = 5 IMAGE_DIRECTORY_ENTRY_DEBUG = 6 IMAGE_DIRECTORY_ENTRY_COPYRIGHT = 7 IMAGE_DIRECTORY_ENTRY_GLOBALPTR = 8 IMAGE_DIRECTORY_ENTRY_TLS = 9 IMAGE_DIRECTORY_ENTRY_LOAD_CONFIG = 10 IMAGE_DIRECTORY_ENTRY_BOUND_IMPORT = 11 IMAGE_DIRECTORY_ENTRY_IAT = 12 IMAGE_SIZEOF_SHORT_NAME = 8 IMAGE_SIZEOF_SECTION_HEADER = 40 IMAGE_SCN_TYPE_NO_PAD = 8 IMAGE_SCN_CNT_CODE = 32 IMAGE_SCN_CNT_INITIALIZED_DATA = 64 IMAGE_SCN_CNT_UNINITIALIZED_DATA = 128 IMAGE_SCN_LNK_OTHER = 256 IMAGE_SCN_LNK_INFO = 512 IMAGE_SCN_LNK_REMOVE = 2048 IMAGE_SCN_LNK_COMDAT = 4096 IMAGE_SCN_MEM_FARDATA = 32768 IMAGE_SCN_MEM_PURGEABLE = 131072 IMAGE_SCN_MEM_16BIT = 131072 IMAGE_SCN_MEM_LOCKED = 262144 IMAGE_SCN_MEM_PRELOAD = 524288 IMAGE_SCN_ALIGN_1BYTES = 1048576 IMAGE_SCN_ALIGN_2BYTES = 2097152 IMAGE_SCN_ALIGN_4BYTES = 3145728 IMAGE_SCN_ALIGN_8BYTES = 4194304 IMAGE_SCN_ALIGN_16BYTES = 5242880 IMAGE_SCN_ALIGN_32BYTES = 6291456 IMAGE_SCN_ALIGN_64BYTES = 7340032 IMAGE_SCN_LNK_NRELOC_OVFL = 16777216 IMAGE_SCN_MEM_DISCARDABLE = 33554432 IMAGE_SCN_MEM_NOT_CACHED = 67108864 IMAGE_SCN_MEM_NOT_PAGED = 134217728 IMAGE_SCN_MEM_SHARED = 268435456 IMAGE_SCN_MEM_EXECUTE = 536870912 IMAGE_SCN_MEM_READ = 1073741824 IMAGE_SCN_MEM_WRITE = -2147483648 IMAGE_SCN_SCALE_INDEX = 1 IMAGE_SIZEOF_SYMBOL = 18 IMAGE_SYM_TYPE_NULL = 0 IMAGE_SYM_TYPE_VOID = 1 IMAGE_SYM_TYPE_CHAR = 2 IMAGE_SYM_TYPE_SHORT = 3 IMAGE_SYM_TYPE_INT = 4 IMAGE_SYM_TYPE_LONG = 5 IMAGE_SYM_TYPE_FLOAT = 6 IMAGE_SYM_TYPE_DOUBLE = 7 IMAGE_SYM_TYPE_STRUCT = 8 IMAGE_SYM_TYPE_UNION = 9 IMAGE_SYM_TYPE_ENUM = 10 IMAGE_SYM_TYPE_MOE = 11 IMAGE_SYM_TYPE_BYTE = 12 IMAGE_SYM_TYPE_WORD = 13 IMAGE_SYM_TYPE_UINT = 14 IMAGE_SYM_TYPE_DWORD = 15 IMAGE_SYM_TYPE_PCODE = 32768 IMAGE_SYM_DTYPE_NULL = 0 IMAGE_SYM_DTYPE_POINTER = 1 IMAGE_SYM_DTYPE_FUNCTION = 2 IMAGE_SYM_DTYPE_ARRAY = 3 IMAGE_SYM_CLASS_NULL = 0 IMAGE_SYM_CLASS_AUTOMATIC = 1 IMAGE_SYM_CLASS_EXTERNAL = 2 IMAGE_SYM_CLASS_STATIC = 3 IMAGE_SYM_CLASS_REGISTER = 4 IMAGE_SYM_CLASS_EXTERNAL_DEF = 5 IMAGE_SYM_CLASS_LABEL = 6 IMAGE_SYM_CLASS_UNDEFINED_LABEL = 7 IMAGE_SYM_CLASS_MEMBER_OF_STRUCT = 8 IMAGE_SYM_CLASS_ARGUMENT = 9 IMAGE_SYM_CLASS_STRUCT_TAG = 10 IMAGE_SYM_CLASS_MEMBER_OF_UNION = 11 IMAGE_SYM_CLASS_UNION_TAG = 12 IMAGE_SYM_CLASS_TYPE_DEFINITION = 13 IMAGE_SYM_CLASS_UNDEFINED_STATIC = 14 IMAGE_SYM_CLASS_ENUM_TAG = 15 IMAGE_SYM_CLASS_MEMBER_OF_ENUM = 16 IMAGE_SYM_CLASS_REGISTER_PARAM = 17 IMAGE_SYM_CLASS_BIT_FIELD = 18 IMAGE_SYM_CLASS_FAR_EXTERNAL = 68 IMAGE_SYM_CLASS_BLOCK = 100 IMAGE_SYM_CLASS_FUNCTION = 101 IMAGE_SYM_CLASS_END_OF_STRUCT = 102 IMAGE_SYM_CLASS_FILE = 103 IMAGE_SYM_CLASS_SECTION = 104 IMAGE_SYM_CLASS_WEAK_EXTERNAL = 105 N_BTMASK = 15 N_TMASK = 48 N_TMASK1 = 192 N_TMASK2 = 240 N_BTSHFT = 4 N_TSHIFT = 2 IMAGE_SIZEOF_AUX_SYMBOL = 18 IMAGE_COMDAT_SELECT_NODUPLICATES = 1 IMAGE_COMDAT_SELECT_ANY = 2 IMAGE_COMDAT_SELECT_SAME_SIZE = 3 IMAGE_COMDAT_SELECT_EXACT_MATCH = 4 IMAGE_COMDAT_SELECT_ASSOCIATIVE = 5 IMAGE_COMDAT_SELECT_LARGEST = 6 IMAGE_COMDAT_SELECT_NEWEST = 7 IMAGE_WEAK_EXTERN_SEARCH_NOLIBRARY = 1 IMAGE_WEAK_EXTERN_SEARCH_LIBRARY = 2 IMAGE_WEAK_EXTERN_SEARCH_ALIAS = 3 IMAGE_SIZEOF_RELOCATION = 10 IMAGE_REL_I386_ABSOLUTE = 0 IMAGE_REL_I386_DIR16 = 1 IMAGE_REL_I386_REL16 = 2 IMAGE_REL_I386_DIR32 = 6 IMAGE_REL_I386_DIR32NB = 7 IMAGE_REL_I386_SEG12 = 9 IMAGE_REL_I386_SECTION = 10 IMAGE_REL_I386_SECREL = 11 IMAGE_REL_I386_REL32 = 20 IMAGE_REL_MIPS_ABSOLUTE = 0 IMAGE_REL_MIPS_REFHALF = 1 IMAGE_REL_MIPS_REFWORD = 2 IMAGE_REL_MIPS_JMPADDR = 3 IMAGE_REL_MIPS_REFHI = 4 IMAGE_REL_MIPS_REFLO = 5 IMAGE_REL_MIPS_GPREL = 6 IMAGE_REL_MIPS_LITERAL = 7 IMAGE_REL_MIPS_SECTION = 10 IMAGE_REL_MIPS_SECREL = 11 IMAGE_REL_MIPS_SECRELLO = 12 IMAGE_REL_MIPS_SECRELHI = 13 IMAGE_REL_MIPS_REFWORDNB = 34 IMAGE_REL_MIPS_PAIR = 37 IMAGE_REL_ALPHA_ABSOLUTE = 0 IMAGE_REL_ALPHA_REFLONG = 1 IMAGE_REL_ALPHA_REFQUAD = 2 IMAGE_REL_ALPHA_GPREL32 = 3 IMAGE_REL_ALPHA_LITERAL = 4 IMAGE_REL_ALPHA_LITUSE = 5 IMAGE_REL_ALPHA_GPDISP = 6 IMAGE_REL_ALPHA_BRADDR = 7 IMAGE_REL_ALPHA_HINT = 8 IMAGE_REL_ALPHA_INLINE_REFLONG = 9 IMAGE_REL_ALPHA_REFHI = 10 IMAGE_REL_ALPHA_REFLO = 11 IMAGE_REL_ALPHA_PAIR = 12 IMAGE_REL_ALPHA_MATCH = 13 IMAGE_REL_ALPHA_SECTION = 14 IMAGE_REL_ALPHA_SECREL = 15 IMAGE_REL_ALPHA_REFLONGNB = 16 IMAGE_REL_ALPHA_SECRELLO = 17 IMAGE_REL_ALPHA_SECRELHI = 18 IMAGE_REL_PPC_ABSOLUTE = 0 IMAGE_REL_PPC_ADDR64 = 1 IMAGE_REL_PPC_ADDR32 = 2 IMAGE_REL_PPC_ADDR24 = 3 IMAGE_REL_PPC_ADDR16 = 4 IMAGE_REL_PPC_ADDR14 = 5 IMAGE_REL_PPC_REL24 = 6 IMAGE_REL_PPC_REL14 = 7 IMAGE_REL_PPC_TOCREL16 = 8 IMAGE_REL_PPC_TOCREL14 = 9 IMAGE_REL_PPC_ADDR32NB = 10 IMAGE_REL_PPC_SECREL = 11 IMAGE_REL_PPC_SECTION = 12 IMAGE_REL_PPC_IFGLUE = 13 IMAGE_REL_PPC_IMGLUE = 14 IMAGE_REL_PPC_SECREL16 = 15 IMAGE_REL_PPC_REFHI = 16 IMAGE_REL_PPC_REFLO = 17 IMAGE_REL_PPC_PAIR = 18 IMAGE_REL_PPC_SECRELLO = 19 IMAGE_REL_PPC_SECRELHI = 20 IMAGE_REL_PPC_TYPEMASK = 255 IMAGE_REL_PPC_NEG = 256 IMAGE_REL_PPC_BRTAKEN = 512 IMAGE_REL_PPC_BRNTAKEN = 1024 IMAGE_REL_PPC_TOCDEFN = 2048 IMAGE_REL_SH3_ABSOLUTE = 0 IMAGE_REL_SH3_DIRECT16 = 1 IMAGE_REL_SH3_DIRECT32 = 2 IMAGE_REL_SH3_DIRECT8 = 3 IMAGE_REL_SH3_DIRECT8_WORD = 4 IMAGE_REL_SH3_DIRECT8_LONG = 5 IMAGE_REL_SH3_DIRECT4 = 6 IMAGE_REL_SH3_DIRECT4_WORD = 7 IMAGE_REL_SH3_DIRECT4_LONG = 8 IMAGE_REL_SH3_PCREL8_WORD = 9 IMAGE_REL_SH3_PCREL8_LONG = 10 IMAGE_REL_SH3_PCREL12_WORD = 11 IMAGE_REL_SH3_STARTOF_SECTION = 12 IMAGE_REL_SH3_SIZEOF_SECTION = 13 IMAGE_REL_SH3_SECTION = 14 IMAGE_REL_SH3_SECREL = 15 IMAGE_REL_SH3_DIRECT32_NB = 16 IMAGE_SIZEOF_LINENUMBER = 6 IMAGE_SIZEOF_BASE_RELOCATION = 8 IMAGE_REL_BASED_ABSOLUTE = 0 IMAGE_REL_BASED_HIGH = 1 IMAGE_REL_BASED_LOW = 2 IMAGE_REL_BASED_HIGHLOW = 3 IMAGE_REL_BASED_HIGHADJ = 4 IMAGE_REL_BASED_MIPS_JMPADDR = 5 IMAGE_REL_BASED_SECTION = 6 IMAGE_REL_BASED_REL32 = 7 IMAGE_ARCHIVE_START_SIZE = 8 IMAGE_ARCHIVE_START = "!<arch>\n" IMAGE_ARCHIVE_END = "`\n" IMAGE_ARCHIVE_PAD = "\n" IMAGE_ARCHIVE_LINKER_MEMBER = "/ " IMAGE_SIZEOF_ARCHIVE_MEMBER_HDR = 60 IMAGE_ORDINAL_FLAG = -2147483648 IMAGE_RESOURCE_NAME_IS_STRING = -2147483648 IMAGE_RESOURCE_DATA_IS_DIRECTORY = -2147483648 IMAGE_DEBUG_TYPE_UNKNOWN = 0 IMAGE_DEBUG_TYPE_COFF = 1 IMAGE_DEBUG_TYPE_CODEVIEW = 2 IMAGE_DEBUG_TYPE_FPO = 3 IMAGE_DEBUG_TYPE_MISC = 4 IMAGE_DEBUG_TYPE_EXCEPTION = 5 IMAGE_DEBUG_TYPE_FIXUP = 6 IMAGE_DEBUG_TYPE_OMAP_TO_SRC = 7 IMAGE_DEBUG_TYPE_OMAP_FROM_SRC = 8 IMAGE_DEBUG_TYPE_BORLAND = 9 FRAME_FPO = 0 FRAME_TRAP = 1 FRAME_TSS = 2 FRAME_NONFPO = 3 SIZEOF_RFPO_DATA = 16 IMAGE_DEBUG_MISC_EXENAME = 1 IMAGE_SEPARATE_DEBUG_SIGNATURE = 18756 IMAGE_SEPARATE_DEBUG_FLAGS_MASK = 32768 IMAGE_SEPARATE_DEBUG_MISMATCH = 32768 # Included from string.h _NLSCMPERROR = 2147483647 NULL = 0 HEAP_NO_SERIALIZE = 1 HEAP_GROWABLE = 2 HEAP_GENERATE_EXCEPTIONS = 4 HEAP_ZERO_MEMORY = 8 HEAP_REALLOC_IN_PLACE_ONLY = 16 HEAP_TAIL_CHECKING_ENABLED = 32 HEAP_FREE_CHECKING_ENABLED = 64 HEAP_DISABLE_COALESCE_ON_FREE = 128 HEAP_CREATE_ALIGN_16 = 65536 HEAP_CREATE_ENABLE_TRACING = 131072 HEAP_MAXIMUM_TAG = 4095 HEAP_PSEUDO_TAG_FLAG = 32768 HEAP_TAG_SHIFT = 16 IS_TEXT_UNICODE_ASCII16 = 1 IS_TEXT_UNICODE_REVERSE_ASCII16 = 16 IS_TEXT_UNICODE_STATISTICS = 2 IS_TEXT_UNICODE_REVERSE_STATISTICS = 32 IS_TEXT_UNICODE_CONTROLS = 4 IS_TEXT_UNICODE_REVERSE_CONTROLS = 64 IS_TEXT_UNICODE_SIGNATURE = 8 IS_TEXT_UNICODE_REVERSE_SIGNATURE = 128 IS_TEXT_UNICODE_ILLEGAL_CHARS = 256 IS_TEXT_UNICODE_ODD_LENGTH = 512 IS_TEXT_UNICODE_DBCS_LEADBYTE = 1024 IS_TEXT_UNICODE_NULL_BYTES = 4096 IS_TEXT_UNICODE_UNICODE_MASK = 15 IS_TEXT_UNICODE_REVERSE_MASK = 240 IS_TEXT_UNICODE_NOT_UNICODE_MASK = 3840 IS_TEXT_UNICODE_NOT_ASCII_MASK = 61440 COMPRESSION_FORMAT_NONE = (0) COMPRESSION_FORMAT_DEFAULT = (1) COMPRESSION_FORMAT_LZNT1 = (2) COMPRESSION_ENGINE_STANDARD = (0) COMPRESSION_ENGINE_MAXIMUM = (256) MESSAGE_RESOURCE_UNICODE = 1 RTL_CRITSECT_TYPE = 0 RTL_RESOURCE_TYPE = 1 SEF_DACL_AUTO_INHERIT = 1 SEF_SACL_AUTO_INHERIT = 2 SEF_DEFAULT_DESCRIPTOR_FOR_OBJECT = 4 SEF_AVOID_PRIVILEGE_CHECK = 8 DLL_PROCESS_ATTACH = 1 DLL_THREAD_ATTACH = 2 DLL_THREAD_DETACH = 3 DLL_PROCESS_DETACH = 0 EVENTLOG_SEQUENTIAL_READ = 0X0001 EVENTLOG_SEEK_READ = 0X0002 EVENTLOG_FORWARDS_READ = 0X0004 EVENTLOG_BACKWARDS_READ = 0X0008 EVENTLOG_SUCCESS = 0X0000 EVENTLOG_ERROR_TYPE = 1 EVENTLOG_WARNING_TYPE = 2 EVENTLOG_INFORMATION_TYPE = 4 EVENTLOG_AUDIT_SUCCESS = 8 EVENTLOG_AUDIT_FAILURE = 16 EVENTLOG_START_PAIRED_EVENT = 1 EVENTLOG_END_PAIRED_EVENT = 2 EVENTLOG_END_ALL_PAIRED_EVENTS = 4 EVENTLOG_PAIRED_EVENT_ACTIVE = 8 EVENTLOG_PAIRED_EVENT_INACTIVE = 16 KEY_QUERY_VALUE = (1) KEY_SET_VALUE = (2) KEY_CREATE_SUB_KEY = (4) KEY_ENUMERATE_SUB_KEYS = (8) KEY_NOTIFY = (16) KEY_CREATE_LINK = (32) KEY_READ = ((STANDARD_RIGHTS_READ |\ KEY_QUERY_VALUE |\ KEY_ENUMERATE_SUB_KEYS |\ KEY_NOTIFY) \ & \ (~SYNCHRONIZE)) KEY_WRITE = ((STANDARD_RIGHTS_WRITE |\ KEY_SET_VALUE |\ KEY_CREATE_SUB_KEY) \ & \ (~SYNCHRONIZE)) KEY_EXECUTE = ((KEY_READ) \ & \ (~SYNCHRONIZE)) KEY_ALL_ACCESS = ((STANDARD_RIGHTS_ALL |\ KEY_QUERY_VALUE |\ KEY_SET_VALUE |\ KEY_CREATE_SUB_KEY |\ KEY_ENUMERATE_SUB_KEYS |\ KEY_NOTIFY |\ KEY_CREATE_LINK) \ & \ (~SYNCHRONIZE)) REG_OPTION_RESERVED = (0) REG_OPTION_NON_VOLATILE = (0) REG_OPTION_VOLATILE = (1) REG_OPTION_CREATE_LINK = (2) REG_OPTION_BACKUP_RESTORE = (4) REG_OPTION_OPEN_LINK = (8) REG_LEGAL_OPTION = \ (REG_OPTION_RESERVED |\ REG_OPTION_NON_VOLATILE |\ REG_OPTION_VOLATILE |\ REG_OPTION_CREATE_LINK |\ REG_OPTION_BACKUP_RESTORE |\ REG_OPTION_OPEN_LINK) REG_CREATED_NEW_KEY = (1) REG_OPENED_EXISTING_KEY = (2) REG_WHOLE_HIVE_VOLATILE = (1) REG_REFRESH_HIVE = (2) REG_NO_LAZY_FLUSH = (4) REG_NOTIFY_CHANGE_NAME = (1) REG_NOTIFY_CHANGE_ATTRIBUTES = (2) REG_NOTIFY_CHANGE_LAST_SET = (4) REG_NOTIFY_CHANGE_SECURITY = (8) REG_LEGAL_CHANGE_FILTER = \ (REG_NOTIFY_CHANGE_NAME |\ REG_NOTIFY_CHANGE_ATTRIBUTES |\ REG_NOTIFY_CHANGE_LAST_SET |\ REG_NOTIFY_CHANGE_SECURITY) REG_NONE = ( 0 ) REG_SZ = ( 1 ) REG_EXPAND_SZ = ( 2 ) REG_BINARY = ( 3 ) REG_DWORD = ( 4 ) REG_DWORD_LITTLE_ENDIAN = ( 4 ) REG_DWORD_BIG_ENDIAN = ( 5 ) REG_LINK = ( 6 ) REG_MULTI_SZ = ( 7 ) REG_RESOURCE_LIST = ( 8 ) REG_FULL_RESOURCE_DESCRIPTOR = ( 9 ) REG_RESOURCE_REQUIREMENTS_LIST = ( 10 ) SERVICE_KERNEL_DRIVER = 1 SERVICE_FILE_SYSTEM_DRIVER = 2 SERVICE_ADAPTER = 4 SERVICE_RECOGNIZER_DRIVER = 8 SERVICE_DRIVER = (SERVICE_KERNEL_DRIVER | \ SERVICE_FILE_SYSTEM_DRIVER | \ SERVICE_RECOGNIZER_DRIVER) SERVICE_WIN32_OWN_PROCESS = 16 SERVICE_WIN32_SHARE_PROCESS = 32 SERVICE_WIN32 = (SERVICE_WIN32_OWN_PROCESS | \ SERVICE_WIN32_SHARE_PROCESS) SERVICE_INTERACTIVE_PROCESS = 256 SERVICE_TYPE_ALL = (SERVICE_WIN32 | \ SERVICE_ADAPTER | \ SERVICE_DRIVER | \ SERVICE_INTERACTIVE_PROCESS) SERVICE_BOOT_START = 0 SERVICE_SYSTEM_START = 1 SERVICE_AUTO_START = 2 SERVICE_DEMAND_START = 3 SERVICE_DISABLED = 4 SERVICE_ERROR_IGNORE = 0 SERVICE_ERROR_NORMAL = 1 SERVICE_ERROR_SEVERE = 2 SERVICE_ERROR_CRITICAL = 3 TAPE_ERASE_SHORT = 0 TAPE_ERASE_LONG = 1 TAPE_LOAD = 0 TAPE_UNLOAD = 1 TAPE_TENSION = 2 TAPE_LOCK = 3 TAPE_UNLOCK = 4 TAPE_FORMAT = 5 TAPE_SETMARKS = 0 TAPE_FILEMARKS = 1 TAPE_SHORT_FILEMARKS = 2 TAPE_LONG_FILEMARKS = 3 TAPE_ABSOLUTE_POSITION = 0 TAPE_LOGICAL_POSITION = 1 TAPE_PSEUDO_LOGICAL_POSITION = 2 TAPE_REWIND = 0 TAPE_ABSOLUTE_BLOCK = 1 TAPE_LOGICAL_BLOCK = 2 TAPE_PSEUDO_LOGICAL_BLOCK = 3 TAPE_SPACE_END_OF_DATA = 4 TAPE_SPACE_RELATIVE_BLOCKS = 5 TAPE_SPACE_FILEMARKS = 6 TAPE_SPACE_SEQUENTIAL_FMKS = 7 TAPE_SPACE_SETMARKS = 8 TAPE_SPACE_SEQUENTIAL_SMKS = 9 TAPE_DRIVE_FIXED = 1 TAPE_DRIVE_SELECT = 2 TAPE_DRIVE_INITIATOR = 4 TAPE_DRIVE_ERASE_SHORT = 16 TAPE_DRIVE_ERASE_LONG = 32 TAPE_DRIVE_ERASE_BOP_ONLY = 64 TAPE_DRIVE_ERASE_IMMEDIATE = 128 TAPE_DRIVE_TAPE_CAPACITY = 256 TAPE_DRIVE_TAPE_REMAINING = 512 TAPE_DRIVE_FIXED_BLOCK = 1024 TAPE_DRIVE_VARIABLE_BLOCK = 2048 TAPE_DRIVE_WRITE_PROTECT = 4096 TAPE_DRIVE_EOT_WZ_SIZE = 8192 TAPE_DRIVE_ECC = 65536 TAPE_DRIVE_COMPRESSION = 131072 TAPE_DRIVE_PADDING = 262144 TAPE_DRIVE_REPORT_SMKS = 524288 TAPE_DRIVE_GET_ABSOLUTE_BLK = 1048576 TAPE_DRIVE_GET_LOGICAL_BLK = 2097152 TAPE_DRIVE_SET_EOT_WZ_SIZE = 4194304 TAPE_DRIVE_EJECT_MEDIA = 16777216 TAPE_DRIVE_RESERVED_BIT = -2147483648 TAPE_DRIVE_LOAD_UNLOAD = -2147483647 TAPE_DRIVE_TENSION = -2147483646 TAPE_DRIVE_LOCK_UNLOCK = -2147483644 TAPE_DRIVE_REWIND_IMMEDIATE = -2147483640 TAPE_DRIVE_SET_BLOCK_SIZE = -2147483632 TAPE_DRIVE_LOAD_UNLD_IMMED = -2147483616 TAPE_DRIVE_TENSION_IMMED = -2147483584 TAPE_DRIVE_LOCK_UNLK_IMMED = -2147483520 TAPE_DRIVE_SET_ECC = -2147483392 TAPE_DRIVE_SET_COMPRESSION = -2147483136 TAPE_DRIVE_SET_PADDING = -2147482624 TAPE_DRIVE_SET_REPORT_SMKS = -2147481600 TAPE_DRIVE_ABSOLUTE_BLK = -2147479552 TAPE_DRIVE_ABS_BLK_IMMED = -2147475456 TAPE_DRIVE_LOGICAL_BLK = -2147467264 TAPE_DRIVE_LOG_BLK_IMMED = -2147450880 TAPE_DRIVE_END_OF_DATA = -2147418112 TAPE_DRIVE_RELATIVE_BLKS = -2147352576 TAPE_DRIVE_FILEMARKS = -2147221504 TAPE_DRIVE_SEQUENTIAL_FMKS = -2146959360 TAPE_DRIVE_SETMARKS = -2146435072 TAPE_DRIVE_SEQUENTIAL_SMKS = -2145386496 TAPE_DRIVE_REVERSE_POSITION = -2143289344 TAPE_DRIVE_SPACE_IMMEDIATE = -2139095040 TAPE_DRIVE_WRITE_SETMARKS = -2130706432 TAPE_DRIVE_WRITE_FILEMARKS = -2113929216 TAPE_DRIVE_WRITE_SHORT_FMKS = -2080374784 TAPE_DRIVE_WRITE_LONG_FMKS = -2013265920 TAPE_DRIVE_WRITE_MARK_IMMED = -1879048192 TAPE_DRIVE_FORMAT = -1610612736 TAPE_DRIVE_FORMAT_IMMEDIATE = -1073741824 TAPE_DRIVE_HIGH_FEATURES = -2147483648 TAPE_FIXED_PARTITIONS = 0 TAPE_SELECT_PARTITIONS = 1 TAPE_INITIATOR_PARTITIONS = 2

30.901729

103

0.76317

# Generated by h2py from \mssdk\include\winnt.h APPLICATION_ERROR_MASK = 536870912 ERROR_SEVERITY_SUCCESS = 0 ERROR_SEVERITY_INFORMATIONAL = 1073741824 ERROR_SEVERITY_WARNING = -2147483648 ERROR_SEVERITY_ERROR = -1073741824 MINCHAR = 128 MAXCHAR = 127 MINSHORT = 32768 MAXSHORT = 32767 MINLONG = -2147483648 MAXLONG = 2147483647 MAXBYTE = 255 MAXWORD = 65535 MAXDWORD = -1 LANG_NEUTRAL = 0 LANG_AFRIKAANS = 54 LANG_ALBANIAN = 28 LANG_ARABIC = 1 LANG_BASQUE = 45 LANG_BELARUSIAN = 35 LANG_BULGARIAN = 2 LANG_CATALAN = 3 LANG_CHINESE = 4 LANG_CROATIAN = 26 LANG_CZECH = 5 LANG_DANISH = 6 LANG_DUTCH = 19 LANG_ENGLISH = 9 LANG_ESTONIAN = 37 LANG_FAEROESE = 56 LANG_FARSI = 41 LANG_FINNISH = 11 LANG_FRENCH = 12 LANG_GERMAN = 7 LANG_GREEK = 8 LANG_HEBREW = 13 LANG_HINDI = 57 LANG_HUNGARIAN = 14 LANG_ICELANDIC = 15 LANG_INDONESIAN = 33 LANG_ITALIAN = 16 LANG_JAPANESE = 17 LANG_KOREAN = 18 LANG_LATVIAN = 38 LANG_LITHUANIAN = 39 LANG_MACEDONIAN = 47 LANG_MALAY = 62 LANG_NORWEGIAN = 20 LANG_POLISH = 21 LANG_PORTUGUESE = 22 LANG_ROMANIAN = 24 LANG_RUSSIAN = 25 LANG_SERBIAN = 26 LANG_SLOVAK = 27 LANG_SLOVENIAN = 36 LANG_SPANISH = 10 LANG_SWAHILI = 65 LANG_SWEDISH = 29 LANG_THAI = 30 LANG_TURKISH = 31 LANG_UKRAINIAN = 34 LANG_VIETNAMESE = 42 SUBLANG_NEUTRAL = 0 SUBLANG_DEFAULT = 1 SUBLANG_SYS_DEFAULT = 2 SUBLANG_ARABIC_SAUDI_ARABIA = 1 SUBLANG_ARABIC_IRAQ = 2 SUBLANG_ARABIC_EGYPT = 3 SUBLANG_ARABIC_LIBYA = 4 SUBLANG_ARABIC_ALGERIA = 5 SUBLANG_ARABIC_MOROCCO = 6 SUBLANG_ARABIC_TUNISIA = 7 SUBLANG_ARABIC_OMAN = 8 SUBLANG_ARABIC_YEMEN = 9 SUBLANG_ARABIC_SYRIA = 10 SUBLANG_ARABIC_JORDAN = 11 SUBLANG_ARABIC_LEBANON = 12 SUBLANG_ARABIC_KUWAIT = 13 SUBLANG_ARABIC_UAE = 14 SUBLANG_ARABIC_BAHRAIN = 15 SUBLANG_ARABIC_QATAR = 16 SUBLANG_CHINESE_TRADITIONAL = 1 SUBLANG_CHINESE_SIMPLIFIED = 2 SUBLANG_CHINESE_HONGKONG = 3 SUBLANG_CHINESE_SINGAPORE = 4 SUBLANG_CHINESE_MACAU = 5 SUBLANG_DUTCH = 1 SUBLANG_DUTCH_BELGIAN = 2 SUBLANG_ENGLISH_US = 1 SUBLANG_ENGLISH_UK = 2 SUBLANG_ENGLISH_AUS = 3 SUBLANG_ENGLISH_CAN = 4 SUBLANG_ENGLISH_NZ = 5 SUBLANG_ENGLISH_EIRE = 6 SUBLANG_ENGLISH_SOUTH_AFRICA = 7 SUBLANG_ENGLISH_JAMAICA = 8 SUBLANG_ENGLISH_CARIBBEAN = 9 SUBLANG_ENGLISH_BELIZE = 10 SUBLANG_ENGLISH_TRINIDAD = 11 SUBLANG_ENGLISH_ZIMBABWE = 12 SUBLANG_ENGLISH_PHILIPPINES = 13 SUBLANG_FRENCH = 1 SUBLANG_FRENCH_BELGIAN = 2 SUBLANG_FRENCH_CANADIAN = 3 SUBLANG_FRENCH_SWISS = 4 SUBLANG_FRENCH_LUXEMBOURG = 5 SUBLANG_FRENCH_MONACO = 6 SUBLANG_GERMAN = 1 SUBLANG_GERMAN_SWISS = 2 SUBLANG_GERMAN_AUSTRIAN = 3 SUBLANG_GERMAN_LUXEMBOURG = 4 SUBLANG_GERMAN_LIECHTENSTEIN = 5 SUBLANG_ITALIAN = 1 SUBLANG_ITALIAN_SWISS = 2 SUBLANG_KOREAN = 1 SUBLANG_KOREAN_JOHAB = 2 SUBLANG_LITHUANIAN = 1 SUBLANG_LITHUANIAN_CLASSIC = 2 SUBLANG_MALAY_MALAYSIA = 1 SUBLANG_MALAY_BRUNEI_DARUSSALAM = 2 SUBLANG_NORWEGIAN_BOKMAL = 1 SUBLANG_NORWEGIAN_NYNORSK = 2 SUBLANG_PORTUGUESE = 2 SUBLANG_PORTUGUESE_BRAZILIAN = 1 SUBLANG_SERBIAN_LATIN = 2 SUBLANG_SERBIAN_CYRILLIC = 3 SUBLANG_SPANISH = 1 SUBLANG_SPANISH_MEXICAN = 2 SUBLANG_SPANISH_MODERN = 3 SUBLANG_SPANISH_GUATEMALA = 4 SUBLANG_SPANISH_COSTA_RICA = 5 SUBLANG_SPANISH_PANAMA = 6 SUBLANG_SPANISH_DOMINICAN_REPUBLIC = 7 SUBLANG_SPANISH_VENEZUELA = 8 SUBLANG_SPANISH_COLOMBIA = 9 SUBLANG_SPANISH_PERU = 10 SUBLANG_SPANISH_ARGENTINA = 11 SUBLANG_SPANISH_ECUADOR = 12 SUBLANG_SPANISH_CHILE = 13 SUBLANG_SPANISH_URUGUAY = 14 SUBLANG_SPANISH_PARAGUAY = 15 SUBLANG_SPANISH_BOLIVIA = 16 SUBLANG_SPANISH_EL_SALVADOR = 17 SUBLANG_SPANISH_HONDURAS = 18 SUBLANG_SPANISH_NICARAGUA = 19 SUBLANG_SPANISH_PUERTO_RICO = 20 SUBLANG_SWEDISH = 1 SUBLANG_SWEDISH_FINLAND = 2 SORT_DEFAULT = 0 SORT_JAPANESE_XJIS = 0 SORT_JAPANESE_UNICODE = 1 SORT_CHINESE_BIG5 = 0 SORT_CHINESE_PRCP = 0 SORT_CHINESE_UNICODE = 1 SORT_CHINESE_PRC = 2 SORT_KOREAN_KSC = 0 SORT_KOREAN_UNICODE = 1 SORT_GERMAN_PHONE_BOOK = 1 def PRIMARYLANGID(lgid): return ((WORD )(lgid) & 1023) def SUBLANGID(lgid): return ((WORD )(lgid) >> 10) NLS_VALID_LOCALE_MASK = 1048575 def LANGIDFROMLCID(lcid): return ((WORD )(lcid)) def SORTIDFROMLCID(lcid): return ((WORD )((((DWORD)(lcid)) & NLS_VALID_LOCALE_MASK) >> 16)) def UNREFERENCED_PARAMETER(P): return (P) def DBG_UNREFERENCED_PARAMETER(P): return (P) def DBG_UNREFERENCED_LOCAL_VARIABLE(V): return (V) def UNREFERENCED_PARAMETER(P): return \ def DBG_UNREFERENCED_PARAMETER(P): return \ def DBG_UNREFERENCED_LOCAL_VARIABLE(V): return \ MAXIMUM_WAIT_OBJECTS = 64 MAXIMUM_SUSPEND_COUNT = MAXCHAR EXCEPTION_NONCONTINUABLE = 1 EXCEPTION_MAXIMUM_PARAMETERS = 15 PROCESS_TERMINATE = (1) PROCESS_CREATE_THREAD = (2) PROCESS_VM_OPERATION = (8) PROCESS_VM_READ = (16) PROCESS_VM_WRITE = (32) PROCESS_DUP_HANDLE = (64) PROCESS_CREATE_PROCESS = (128) PROCESS_SET_QUOTA = (256) PROCESS_SET_INFORMATION = (512) PROCESS_QUERY_INFORMATION = (1024) MAXIMUM_PROCESSORS = 32 THREAD_TERMINATE = (1) THREAD_SUSPEND_RESUME = (2) THREAD_GET_CONTEXT = (8) THREAD_SET_CONTEXT = (16) THREAD_SET_INFORMATION = (32) THREAD_QUERY_INFORMATION = (64) THREAD_SET_THREAD_TOKEN = (128) THREAD_IMPERSONATE = (256) THREAD_DIRECT_IMPERSONATION = (512) JOB_OBJECT_ASSIGN_PROCESS = (1) JOB_OBJECT_SET_ATTRIBUTES = (2) JOB_OBJECT_QUERY = (4) JOB_OBJECT_TERMINATE = (8) TLS_MINIMUM_AVAILABLE = 64 THREAD_BASE_PRIORITY_LOWRT = 15 THREAD_BASE_PRIORITY_MAX = 2 THREAD_BASE_PRIORITY_MIN = -2 THREAD_BASE_PRIORITY_IDLE = -15 JOB_OBJECT_LIMIT_WORKINGSET = 1 JOB_OBJECT_LIMIT_PROCESS_TIME = 2 JOB_OBJECT_LIMIT_JOB_TIME = 4 JOB_OBJECT_LIMIT_ACTIVE_PROCESS = 8 JOB_OBJECT_LIMIT_AFFINITY = 16 JOB_OBJECT_LIMIT_PRIORITY_CLASS = 32 JOB_OBJECT_LIMIT_VALID_FLAGS = 63 EVENT_MODIFY_STATE = 2 MUTANT_QUERY_STATE = 1 SEMAPHORE_MODIFY_STATE = 2 TIME_ZONE_ID_UNKNOWN = 0 TIME_ZONE_ID_STANDARD = 1 TIME_ZONE_ID_DAYLIGHT = 2 PROCESSOR_INTEL_386 = 386 PROCESSOR_INTEL_486 = 486 PROCESSOR_INTEL_PENTIUM = 586 PROCESSOR_MIPS_R4000 = 4000 PROCESSOR_ALPHA_21064 = 21064 PROCESSOR_HITACHI_SH3 = 10003 PROCESSOR_HITACHI_SH3E = 10004 PROCESSOR_HITACHI_SH4 = 10005 PROCESSOR_MOTOROLA_821 = 821 PROCESSOR_ARM_7TDMI = 70001 PROCESSOR_ARCHITECTURE_INTEL = 0 PROCESSOR_ARCHITECTURE_MIPS = 1 PROCESSOR_ARCHITECTURE_ALPHA = 2 PROCESSOR_ARCHITECTURE_PPC = 3 PROCESSOR_ARCHITECTURE_SH = 4 PROCESSOR_ARCHITECTURE_ARM = 5 PROCESSOR_ARCHITECTURE_UNKNOWN = 65535 PF_FLOATING_POINT_PRECISION_ERRATA = 0 PF_FLOATING_POINT_EMULATED = 1 PF_COMPARE_EXCHANGE_DOUBLE = 2 PF_MMX_INSTRUCTIONS_AVAILABLE = 3 PF_PPC_MOVEMEM_64BIT_OK = 4 PF_ALPHA_BYTE_INSTRUCTIONS = 5 SECTION_QUERY = 1 SECTION_MAP_WRITE = 2 SECTION_MAP_READ = 4 SECTION_MAP_EXECUTE = 8 SECTION_EXTEND_SIZE = 16 PAGE_NOACCESS = 1 PAGE_READONLY = 2 PAGE_READWRITE = 4 PAGE_WRITECOPY = 8 PAGE_EXECUTE = 16 PAGE_EXECUTE_READ = 32 PAGE_EXECUTE_READWRITE = 64 PAGE_EXECUTE_WRITECOPY = 128 PAGE_GUARD = 256 PAGE_NOCACHE = 512 MEM_COMMIT = 4096 MEM_RESERVE = 8192 MEM_DECOMMIT = 16384 MEM_RELEASE = 32768 MEM_FREE = 65536 MEM_PRIVATE = 131072 MEM_MAPPED = 262144 MEM_RESET = 524288 MEM_TOP_DOWN = 1048576 MEM_4MB_PAGES = -2147483648 SEC_FILE = 8388608 SEC_IMAGE = 16777216 SEC_VLM = 33554432 SEC_RESERVE = 67108864 SEC_COMMIT = 134217728 SEC_NOCACHE = 268435456 MEM_IMAGE = SEC_IMAGE FILE_READ_DATA = ( 1 ) FILE_LIST_DIRECTORY = ( 1 ) FILE_WRITE_DATA = ( 2 ) FILE_ADD_FILE = ( 2 ) FILE_APPEND_DATA = ( 4 ) FILE_ADD_SUBDIRECTORY = ( 4 ) FILE_CREATE_PIPE_INSTANCE = ( 4 ) FILE_READ_EA = ( 8 ) FILE_WRITE_EA = ( 16 ) FILE_EXECUTE = ( 32 ) FILE_TRAVERSE = ( 32 ) FILE_DELETE_CHILD = ( 64 ) FILE_READ_ATTRIBUTES = ( 128 ) FILE_WRITE_ATTRIBUTES = ( 256 ) FILE_SHARE_READ = 1 FILE_SHARE_WRITE = 2 FILE_SHARE_DELETE = 4 FILE_ATTRIBUTE_READONLY = 1 FILE_ATTRIBUTE_HIDDEN = 2 FILE_ATTRIBUTE_SYSTEM = 4 FILE_ATTRIBUTE_DIRECTORY = 16 FILE_ATTRIBUTE_ARCHIVE = 32 FILE_ATTRIBUTE_ENCRYPTED = 64 FILE_ATTRIBUTE_NORMAL = 128 FILE_ATTRIBUTE_TEMPORARY = 256 FILE_ATTRIBUTE_SPARSE_FILE = 512 FILE_ATTRIBUTE_REPARSE_POINT = 1024 FILE_ATTRIBUTE_COMPRESSED = 2048 FILE_ATTRIBUTE_OFFLINE = 4096 FILE_NOTIFY_CHANGE_FILE_NAME = 1 FILE_NOTIFY_CHANGE_DIR_NAME = 2 FILE_NOTIFY_CHANGE_ATTRIBUTES = 4 FILE_NOTIFY_CHANGE_SIZE = 8 FILE_NOTIFY_CHANGE_LAST_WRITE = 16 FILE_NOTIFY_CHANGE_LAST_ACCESS = 32 FILE_NOTIFY_CHANGE_CREATION = 64 FILE_NOTIFY_CHANGE_SECURITY = 256 FILE_ACTION_ADDED = 1 FILE_ACTION_REMOVED = 2 FILE_ACTION_MODIFIED = 3 FILE_ACTION_RENAMED_OLD_NAME = 4 FILE_ACTION_RENAMED_NEW_NAME = 5 FILE_CASE_SENSITIVE_SEARCH = 1 FILE_CASE_PRESERVED_NAMES = 2 FILE_UNICODE_ON_DISK = 4 FILE_PERSISTENT_ACLS = 8 FILE_FILE_COMPRESSION = 16 FILE_VOLUME_QUOTAS = 32 FILE_SUPPORTS_SPARSE_FILES = 64 FILE_SUPPORTS_REPARSE_POINTS = 128 FILE_SUPPORTS_REMOTE_STORAGE = 256 FILE_VOLUME_IS_COMPRESSED = 32768 FILE_SUPPORTS_OBJECT_IDS = 65536 FILE_SUPPORTS_ENCRYPTION = 131072 MAXIMUM_REPARSE_DATA_BUFFER_SIZE = ( 16 * 1024 ) IO_REPARSE_TAG_RESERVED_ZERO = (0) IO_REPARSE_TAG_RESERVED_ONE = (1) IO_REPARSE_TAG_SYMBOLIC_LINK = (2) IO_REPARSE_TAG_NSS = (5) IO_REPARSE_TAG_FILTER_MANAGER = -2147483637 IO_REPARSE_TAG_DFS = -2147483638 IO_REPARSE_TAG_SIS = -2147483641 IO_REPARSE_TAG_MOUNT_POINT = -1610612733 IO_REPARSE_TAG_HSM = -1073741820 IO_REPARSE_TAG_NSSRECOVER = (8) IO_REPARSE_TAG_RESERVED_MS_RANGE = (256) IO_REPARSE_TAG_RESERVED_RANGE = IO_REPARSE_TAG_RESERVED_ONE IO_COMPLETION_MODIFY_STATE = 2 DUPLICATE_CLOSE_SOURCE = 1 DUPLICATE_SAME_ACCESS = 2 DELETE = (65536) READ_CONTROL = (131072) WRITE_DAC = (262144) WRITE_OWNER = (524288) SYNCHRONIZE = (1048576) STANDARD_RIGHTS_REQUIRED = (983040) STANDARD_RIGHTS_READ = (READ_CONTROL) STANDARD_RIGHTS_WRITE = (READ_CONTROL) STANDARD_RIGHTS_EXECUTE = (READ_CONTROL) STANDARD_RIGHTS_ALL = (2031616) SPECIFIC_RIGHTS_ALL = (65535) IO_COMPLETION_ALL_ACCESS = STANDARD_RIGHTS_REQUIRED|SYNCHRONIZE|0x3 ACCESS_SYSTEM_SECURITY = (16777216) MAXIMUM_ALLOWED = (33554432) GENERIC_READ = (-2147483648) GENERIC_WRITE = (1073741824) GENERIC_EXECUTE = (536870912) GENERIC_ALL = (268435456) # Included from pshpack4.h # Included from poppack.h SID_REVISION = (1) SID_MAX_SUB_AUTHORITIES = (15) SID_RECOMMENDED_SUB_AUTHORITIES = (1) SidTypeUser = 1 SidTypeGroup = 2 SidTypeDomain =3 SidTypeAlias = 4 SidTypeWellKnownGroup = 5 SidTypeDeletedAccount = 6 SidTypeInvalid = 7 SidTypeUnknown = 8 SECURITY_NULL_RID = (0) SECURITY_WORLD_RID = (0) SECURITY_LOCAL_RID = (0X00000000) SECURITY_CREATOR_OWNER_RID = (0) SECURITY_CREATOR_GROUP_RID = (1) SECURITY_CREATOR_OWNER_SERVER_RID = (2) SECURITY_CREATOR_GROUP_SERVER_RID = (3) SECURITY_DIALUP_RID = (1) SECURITY_NETWORK_RID = (2) SECURITY_BATCH_RID = (3) SECURITY_INTERACTIVE_RID = (4) SECURITY_SERVICE_RID = (6) SECURITY_ANONYMOUS_LOGON_RID = (7) SECURITY_PROXY_RID = (8) SECURITY_SERVER_LOGON_RID = (9) SECURITY_PRINCIPAL_SELF_RID = (10) SECURITY_AUTHENTICATED_USER_RID = (11) SECURITY_LOGON_IDS_RID = (5) SECURITY_LOGON_IDS_RID_COUNT = (3) SECURITY_LOCAL_SYSTEM_RID = (18) SECURITY_NT_NON_UNIQUE = (21) SECURITY_BUILTIN_DOMAIN_RID = (32) DOMAIN_USER_RID_ADMIN = (500) DOMAIN_USER_RID_GUEST = (501) DOMAIN_GROUP_RID_ADMINS = (512) DOMAIN_GROUP_RID_USERS = (513) DOMAIN_GROUP_RID_GUESTS = (514) DOMAIN_ALIAS_RID_ADMINS = (544) DOMAIN_ALIAS_RID_USERS = (545) DOMAIN_ALIAS_RID_GUESTS = (546) DOMAIN_ALIAS_RID_POWER_USERS = (547) DOMAIN_ALIAS_RID_ACCOUNT_OPS = (548) DOMAIN_ALIAS_RID_SYSTEM_OPS = (549) DOMAIN_ALIAS_RID_PRINT_OPS = (550) DOMAIN_ALIAS_RID_BACKUP_OPS = (551) DOMAIN_ALIAS_RID_REPLICATOR = (552) SE_GROUP_MANDATORY = (1) SE_GROUP_ENABLED_BY_DEFAULT = (2) SE_GROUP_ENABLED = (4) SE_GROUP_OWNER = (8) SE_GROUP_LOGON_ID = (-1073741824) ACL_REVISION = (2) ACL_REVISION_DS = (4) ACL_REVISION1 = (1) ACL_REVISION2 = (2) ACL_REVISION3 = (3) ACL_REVISION4 = (4) MAX_ACL_REVISION = ACL_REVISION4 ACCESS_MIN_MS_ACE_TYPE = (0) ACCESS_ALLOWED_ACE_TYPE = (0) ACCESS_DENIED_ACE_TYPE = (1) SYSTEM_AUDIT_ACE_TYPE = (2) SYSTEM_ALARM_ACE_TYPE = (3) ACCESS_MAX_MS_V2_ACE_TYPE = (3) ACCESS_ALLOWED_COMPOUND_ACE_TYPE = (4) ACCESS_MAX_MS_V3_ACE_TYPE = (4) ACCESS_MIN_MS_OBJECT_ACE_TYPE = (5) ACCESS_ALLOWED_OBJECT_ACE_TYPE = (5) ACCESS_DENIED_OBJECT_ACE_TYPE = (6) SYSTEM_AUDIT_OBJECT_ACE_TYPE = (7) SYSTEM_ALARM_OBJECT_ACE_TYPE = (8) ACCESS_MAX_MS_OBJECT_ACE_TYPE = (8) ACCESS_MAX_MS_V4_ACE_TYPE = (8) ACCESS_MAX_MS_ACE_TYPE = (8) OBJECT_INHERIT_ACE = (1) CONTAINER_INHERIT_ACE = (2) NO_PROPAGATE_INHERIT_ACE = (4) INHERIT_ONLY_ACE = (8) INHERITED_ACE = (16) VALID_INHERIT_FLAGS = (31) SUCCESSFUL_ACCESS_ACE_FLAG = (64) FAILED_ACCESS_ACE_FLAG = (128) ACE_OBJECT_TYPE_PRESENT = 1 ACE_INHERITED_OBJECT_TYPE_PRESENT = 2 SECURITY_DESCRIPTOR_REVISION = (1) SECURITY_DESCRIPTOR_REVISION1 = (1) SECURITY_DESCRIPTOR_MIN_LENGTH = (20) SE_OWNER_DEFAULTED = (1) SE_GROUP_DEFAULTED = (2) SE_DACL_PRESENT = (4) SE_DACL_DEFAULTED = (8) SE_SACL_PRESENT = (16) SE_SACL_DEFAULTED = (32) SE_DACL_AUTO_INHERIT_REQ = (256) SE_SACL_AUTO_INHERIT_REQ = (512) SE_DACL_AUTO_INHERITED = (1024) SE_SACL_AUTO_INHERITED = (2048) SE_DACL_PROTECTED = (4096) SE_SACL_PROTECTED = (8192) SE_SELF_RELATIVE = (32768) ACCESS_OBJECT_GUID = 0 ACCESS_PROPERTY_SET_GUID = 1 ACCESS_PROPERTY_GUID = 2 ACCESS_MAX_LEVEL = 4 AUDIT_ALLOW_NO_PRIVILEGE = 1 ACCESS_DS_SOURCE_A = "Directory Service" ACCESS_DS_OBJECT_TYPE_NAME_A = "Directory Service Object" SE_PRIVILEGE_ENABLED_BY_DEFAULT = (1) SE_PRIVILEGE_ENABLED = (2) SE_PRIVILEGE_USED_FOR_ACCESS = (-2147483648) PRIVILEGE_SET_ALL_NECESSARY = (1) SE_CREATE_TOKEN_NAME = "SeCreateTokenPrivilege" SE_ASSIGNPRIMARYTOKEN_NAME = "SeAssignPrimaryTokenPrivilege" SE_LOCK_MEMORY_NAME = "SeLockMemoryPrivilege" SE_INCREASE_QUOTA_NAME = "SeIncreaseQuotaPrivilege" SE_UNSOLICITED_INPUT_NAME = "SeUnsolicitedInputPrivilege" SE_MACHINE_ACCOUNT_NAME = "SeMachineAccountPrivilege" SE_TCB_NAME = "SeTcbPrivilege" SE_SECURITY_NAME = "SeSecurityPrivilege" SE_TAKE_OWNERSHIP_NAME = "SeTakeOwnershipPrivilege" SE_LOAD_DRIVER_NAME = "SeLoadDriverPrivilege" SE_SYSTEM_PROFILE_NAME = "SeSystemProfilePrivilege" SE_SYSTEMTIME_NAME = "SeSystemtimePrivilege" SE_PROF_SINGLE_PROCESS_NAME = "SeProfileSingleProcessPrivilege" SE_INC_BASE_PRIORITY_NAME = "SeIncreaseBasePriorityPrivilege" SE_CREATE_PAGEFILE_NAME = "SeCreatePagefilePrivilege" SE_CREATE_PERMANENT_NAME = "SeCreatePermanentPrivilege" SE_BACKUP_NAME = "SeBackupPrivilege" SE_RESTORE_NAME = "SeRestorePrivilege" SE_SHUTDOWN_NAME = "SeShutdownPrivilege" SE_DEBUG_NAME = "SeDebugPrivilege" SE_AUDIT_NAME = "SeAuditPrivilege" SE_SYSTEM_ENVIRONMENT_NAME = "SeSystemEnvironmentPrivilege" SE_CHANGE_NOTIFY_NAME = "SeChangeNotifyPrivilege" SE_REMOTE_SHUTDOWN_NAME = "SeRemoteShutdownPrivilege" TOKEN_ASSIGN_PRIMARY = (1) TOKEN_DUPLICATE = (2) TOKEN_IMPERSONATE = (4) TOKEN_QUERY = (8) TOKEN_QUERY_SOURCE = (16) TOKEN_ADJUST_PRIVILEGES = (32) TOKEN_ADJUST_GROUPS = (64) TOKEN_ADJUST_DEFAULT = (128) TOKEN_ALL_ACCESS = (STANDARD_RIGHTS_REQUIRED |\ TOKEN_ASSIGN_PRIMARY |\ TOKEN_DUPLICATE |\ TOKEN_IMPERSONATE |\ TOKEN_QUERY |\ TOKEN_QUERY_SOURCE |\ TOKEN_ADJUST_PRIVILEGES |\ TOKEN_ADJUST_GROUPS |\ TOKEN_ADJUST_DEFAULT) TOKEN_READ = (STANDARD_RIGHTS_READ |\ TOKEN_QUERY) TOKEN_WRITE = (STANDARD_RIGHTS_WRITE |\ TOKEN_ADJUST_PRIVILEGES |\ TOKEN_ADJUST_GROUPS |\ TOKEN_ADJUST_DEFAULT) TOKEN_EXECUTE = (STANDARD_RIGHTS_EXECUTE) TOKEN_SOURCE_LENGTH = 8 # Token types TokenPrimary = 1 TokenImpersonation = 2 TokenUser = 1 TokenGroups = 2 TokenPrivileges = 3 TokenOwner = 4 TokenPrimaryGroup = 5 TokenDefaultDacl = 6 TokenSource = 7 TokenType = 8 TokenImpersonationLevel = 9 TokenStatistics = 10 OWNER_SECURITY_INFORMATION = (0X00000001) GROUP_SECURITY_INFORMATION = (0X00000002) DACL_SECURITY_INFORMATION = (0X00000004) SACL_SECURITY_INFORMATION = (0X00000008) IMAGE_DOS_SIGNATURE = 23117 IMAGE_OS2_SIGNATURE = 17742 IMAGE_OS2_SIGNATURE_LE = 17740 IMAGE_VXD_SIGNATURE = 17740 IMAGE_NT_SIGNATURE = 17744 IMAGE_SIZEOF_FILE_HEADER = 20 IMAGE_FILE_RELOCS_STRIPPED = 1 IMAGE_FILE_EXECUTABLE_IMAGE = 2 IMAGE_FILE_LINE_NUMS_STRIPPED = 4 IMAGE_FILE_LOCAL_SYMS_STRIPPED = 8 IMAGE_FILE_AGGRESIVE_WS_TRIM = 16 IMAGE_FILE_LARGE_ADDRESS_AWARE = 32 IMAGE_FILE_BYTES_REVERSED_LO = 128 IMAGE_FILE_32BIT_MACHINE = 256 IMAGE_FILE_DEBUG_STRIPPED = 512 IMAGE_FILE_REMOVABLE_RUN_FROM_SWAP = 1024 IMAGE_FILE_NET_RUN_FROM_SWAP = 2048 IMAGE_FILE_SYSTEM = 4096 IMAGE_FILE_DLL = 8192 IMAGE_FILE_UP_SYSTEM_ONLY = 16384 IMAGE_FILE_BYTES_REVERSED_HI = 32768 IMAGE_FILE_MACHINE_UNKNOWN = 0 IMAGE_FILE_MACHINE_I386 = 332 IMAGE_FILE_MACHINE_R3000 = 354 IMAGE_FILE_MACHINE_R4000 = 358 IMAGE_FILE_MACHINE_R10000 = 360 IMAGE_FILE_MACHINE_WCEMIPSV2 = 361 IMAGE_FILE_MACHINE_ALPHA = 388 IMAGE_FILE_MACHINE_POWERPC = 496 IMAGE_FILE_MACHINE_SH3 = 418 IMAGE_FILE_MACHINE_SH3E = 420 IMAGE_FILE_MACHINE_SH4 = 422 IMAGE_FILE_MACHINE_ARM = 448 IMAGE_NUMBEROF_DIRECTORY_ENTRIES = 16 IMAGE_SIZEOF_ROM_OPTIONAL_HEADER = 56 IMAGE_SIZEOF_STD_OPTIONAL_HEADER = 28 IMAGE_SIZEOF_NT_OPTIONAL_HEADER = 224 IMAGE_NT_OPTIONAL_HDR_MAGIC = 267 IMAGE_ROM_OPTIONAL_HDR_MAGIC = 263 IMAGE_SUBSYSTEM_UNKNOWN = 0 IMAGE_SUBSYSTEM_NATIVE = 1 IMAGE_SUBSYSTEM_WINDOWS_GUI = 2 IMAGE_SUBSYSTEM_WINDOWS_CUI = 3 IMAGE_SUBSYSTEM_WINDOWS_CE_GUI = 4 IMAGE_SUBSYSTEM_OS2_CUI = 5 IMAGE_SUBSYSTEM_POSIX_CUI = 7 IMAGE_SUBSYSTEM_RESERVED8 = 8 IMAGE_DLLCHARACTERISTICS_WDM_DRIVER = 8192 IMAGE_DIRECTORY_ENTRY_EXPORT = 0 IMAGE_DIRECTORY_ENTRY_IMPORT = 1 IMAGE_DIRECTORY_ENTRY_RESOURCE = 2 IMAGE_DIRECTORY_ENTRY_EXCEPTION = 3 IMAGE_DIRECTORY_ENTRY_SECURITY = 4 IMAGE_DIRECTORY_ENTRY_BASERELOC = 5 IMAGE_DIRECTORY_ENTRY_DEBUG = 6 IMAGE_DIRECTORY_ENTRY_COPYRIGHT = 7 IMAGE_DIRECTORY_ENTRY_GLOBALPTR = 8 IMAGE_DIRECTORY_ENTRY_TLS = 9 IMAGE_DIRECTORY_ENTRY_LOAD_CONFIG = 10 IMAGE_DIRECTORY_ENTRY_BOUND_IMPORT = 11 IMAGE_DIRECTORY_ENTRY_IAT = 12 IMAGE_SIZEOF_SHORT_NAME = 8 IMAGE_SIZEOF_SECTION_HEADER = 40 IMAGE_SCN_TYPE_NO_PAD = 8 IMAGE_SCN_CNT_CODE = 32 IMAGE_SCN_CNT_INITIALIZED_DATA = 64 IMAGE_SCN_CNT_UNINITIALIZED_DATA = 128 IMAGE_SCN_LNK_OTHER = 256 IMAGE_SCN_LNK_INFO = 512 IMAGE_SCN_LNK_REMOVE = 2048 IMAGE_SCN_LNK_COMDAT = 4096 IMAGE_SCN_MEM_FARDATA = 32768 IMAGE_SCN_MEM_PURGEABLE = 131072 IMAGE_SCN_MEM_16BIT = 131072 IMAGE_SCN_MEM_LOCKED = 262144 IMAGE_SCN_MEM_PRELOAD = 524288 IMAGE_SCN_ALIGN_1BYTES = 1048576 IMAGE_SCN_ALIGN_2BYTES = 2097152 IMAGE_SCN_ALIGN_4BYTES = 3145728 IMAGE_SCN_ALIGN_8BYTES = 4194304 IMAGE_SCN_ALIGN_16BYTES = 5242880 IMAGE_SCN_ALIGN_32BYTES = 6291456 IMAGE_SCN_ALIGN_64BYTES = 7340032 IMAGE_SCN_LNK_NRELOC_OVFL = 16777216 IMAGE_SCN_MEM_DISCARDABLE = 33554432 IMAGE_SCN_MEM_NOT_CACHED = 67108864 IMAGE_SCN_MEM_NOT_PAGED = 134217728 IMAGE_SCN_MEM_SHARED = 268435456 IMAGE_SCN_MEM_EXECUTE = 536870912 IMAGE_SCN_MEM_READ = 1073741824 IMAGE_SCN_MEM_WRITE = -2147483648 IMAGE_SCN_SCALE_INDEX = 1 IMAGE_SIZEOF_SYMBOL = 18 IMAGE_SYM_TYPE_NULL = 0 IMAGE_SYM_TYPE_VOID = 1 IMAGE_SYM_TYPE_CHAR = 2 IMAGE_SYM_TYPE_SHORT = 3 IMAGE_SYM_TYPE_INT = 4 IMAGE_SYM_TYPE_LONG = 5 IMAGE_SYM_TYPE_FLOAT = 6 IMAGE_SYM_TYPE_DOUBLE = 7 IMAGE_SYM_TYPE_STRUCT = 8 IMAGE_SYM_TYPE_UNION = 9 IMAGE_SYM_TYPE_ENUM = 10 IMAGE_SYM_TYPE_MOE = 11 IMAGE_SYM_TYPE_BYTE = 12 IMAGE_SYM_TYPE_WORD = 13 IMAGE_SYM_TYPE_UINT = 14 IMAGE_SYM_TYPE_DWORD = 15 IMAGE_SYM_TYPE_PCODE = 32768 IMAGE_SYM_DTYPE_NULL = 0 IMAGE_SYM_DTYPE_POINTER = 1 IMAGE_SYM_DTYPE_FUNCTION = 2 IMAGE_SYM_DTYPE_ARRAY = 3 IMAGE_SYM_CLASS_NULL = 0 IMAGE_SYM_CLASS_AUTOMATIC = 1 IMAGE_SYM_CLASS_EXTERNAL = 2 IMAGE_SYM_CLASS_STATIC = 3 IMAGE_SYM_CLASS_REGISTER = 4 IMAGE_SYM_CLASS_EXTERNAL_DEF = 5 IMAGE_SYM_CLASS_LABEL = 6 IMAGE_SYM_CLASS_UNDEFINED_LABEL = 7 IMAGE_SYM_CLASS_MEMBER_OF_STRUCT = 8 IMAGE_SYM_CLASS_ARGUMENT = 9 IMAGE_SYM_CLASS_STRUCT_TAG = 10 IMAGE_SYM_CLASS_MEMBER_OF_UNION = 11 IMAGE_SYM_CLASS_UNION_TAG = 12 IMAGE_SYM_CLASS_TYPE_DEFINITION = 13 IMAGE_SYM_CLASS_UNDEFINED_STATIC = 14 IMAGE_SYM_CLASS_ENUM_TAG = 15 IMAGE_SYM_CLASS_MEMBER_OF_ENUM = 16 IMAGE_SYM_CLASS_REGISTER_PARAM = 17 IMAGE_SYM_CLASS_BIT_FIELD = 18 IMAGE_SYM_CLASS_FAR_EXTERNAL = 68 IMAGE_SYM_CLASS_BLOCK = 100 IMAGE_SYM_CLASS_FUNCTION = 101 IMAGE_SYM_CLASS_END_OF_STRUCT = 102 IMAGE_SYM_CLASS_FILE = 103 IMAGE_SYM_CLASS_SECTION = 104 IMAGE_SYM_CLASS_WEAK_EXTERNAL = 105 N_BTMASK = 15 N_TMASK = 48 N_TMASK1 = 192 N_TMASK2 = 240 N_BTSHFT = 4 N_TSHIFT = 2 def BTYPE(x): return ((x) & N_BTMASK) def ISPTR(x): return (((x) & N_TMASK) == (IMAGE_SYM_DTYPE_POINTER << N_BTSHFT)) def ISFCN(x): return (((x) & N_TMASK) == (IMAGE_SYM_DTYPE_FUNCTION << N_BTSHFT)) def ISARY(x): return (((x) & N_TMASK) == (IMAGE_SYM_DTYPE_ARRAY << N_BTSHFT)) def INCREF(x): return ((((x)&~N_BTMASK)<<N_TSHIFT)|(IMAGE_SYM_DTYPE_POINTER<<N_BTSHFT)|((x)&N_BTMASK)) def DECREF(x): return ((((x)>>N_TSHIFT)&~N_BTMASK)|((x)&N_BTMASK)) IMAGE_SIZEOF_AUX_SYMBOL = 18 IMAGE_COMDAT_SELECT_NODUPLICATES = 1 IMAGE_COMDAT_SELECT_ANY = 2 IMAGE_COMDAT_SELECT_SAME_SIZE = 3 IMAGE_COMDAT_SELECT_EXACT_MATCH = 4 IMAGE_COMDAT_SELECT_ASSOCIATIVE = 5 IMAGE_COMDAT_SELECT_LARGEST = 6 IMAGE_COMDAT_SELECT_NEWEST = 7 IMAGE_WEAK_EXTERN_SEARCH_NOLIBRARY = 1 IMAGE_WEAK_EXTERN_SEARCH_LIBRARY = 2 IMAGE_WEAK_EXTERN_SEARCH_ALIAS = 3 IMAGE_SIZEOF_RELOCATION = 10 IMAGE_REL_I386_ABSOLUTE = 0 IMAGE_REL_I386_DIR16 = 1 IMAGE_REL_I386_REL16 = 2 IMAGE_REL_I386_DIR32 = 6 IMAGE_REL_I386_DIR32NB = 7 IMAGE_REL_I386_SEG12 = 9 IMAGE_REL_I386_SECTION = 10 IMAGE_REL_I386_SECREL = 11 IMAGE_REL_I386_REL32 = 20 IMAGE_REL_MIPS_ABSOLUTE = 0 IMAGE_REL_MIPS_REFHALF = 1 IMAGE_REL_MIPS_REFWORD = 2 IMAGE_REL_MIPS_JMPADDR = 3 IMAGE_REL_MIPS_REFHI = 4 IMAGE_REL_MIPS_REFLO = 5 IMAGE_REL_MIPS_GPREL = 6 IMAGE_REL_MIPS_LITERAL = 7 IMAGE_REL_MIPS_SECTION = 10 IMAGE_REL_MIPS_SECREL = 11 IMAGE_REL_MIPS_SECRELLO = 12 IMAGE_REL_MIPS_SECRELHI = 13 IMAGE_REL_MIPS_REFWORDNB = 34 IMAGE_REL_MIPS_PAIR = 37 IMAGE_REL_ALPHA_ABSOLUTE = 0 IMAGE_REL_ALPHA_REFLONG = 1 IMAGE_REL_ALPHA_REFQUAD = 2 IMAGE_REL_ALPHA_GPREL32 = 3 IMAGE_REL_ALPHA_LITERAL = 4 IMAGE_REL_ALPHA_LITUSE = 5 IMAGE_REL_ALPHA_GPDISP = 6 IMAGE_REL_ALPHA_BRADDR = 7 IMAGE_REL_ALPHA_HINT = 8 IMAGE_REL_ALPHA_INLINE_REFLONG = 9 IMAGE_REL_ALPHA_REFHI = 10 IMAGE_REL_ALPHA_REFLO = 11 IMAGE_REL_ALPHA_PAIR = 12 IMAGE_REL_ALPHA_MATCH = 13 IMAGE_REL_ALPHA_SECTION = 14 IMAGE_REL_ALPHA_SECREL = 15 IMAGE_REL_ALPHA_REFLONGNB = 16 IMAGE_REL_ALPHA_SECRELLO = 17 IMAGE_REL_ALPHA_SECRELHI = 18 IMAGE_REL_PPC_ABSOLUTE = 0 IMAGE_REL_PPC_ADDR64 = 1 IMAGE_REL_PPC_ADDR32 = 2 IMAGE_REL_PPC_ADDR24 = 3 IMAGE_REL_PPC_ADDR16 = 4 IMAGE_REL_PPC_ADDR14 = 5 IMAGE_REL_PPC_REL24 = 6 IMAGE_REL_PPC_REL14 = 7 IMAGE_REL_PPC_TOCREL16 = 8 IMAGE_REL_PPC_TOCREL14 = 9 IMAGE_REL_PPC_ADDR32NB = 10 IMAGE_REL_PPC_SECREL = 11 IMAGE_REL_PPC_SECTION = 12 IMAGE_REL_PPC_IFGLUE = 13 IMAGE_REL_PPC_IMGLUE = 14 IMAGE_REL_PPC_SECREL16 = 15 IMAGE_REL_PPC_REFHI = 16 IMAGE_REL_PPC_REFLO = 17 IMAGE_REL_PPC_PAIR = 18 IMAGE_REL_PPC_SECRELLO = 19 IMAGE_REL_PPC_SECRELHI = 20 IMAGE_REL_PPC_TYPEMASK = 255 IMAGE_REL_PPC_NEG = 256 IMAGE_REL_PPC_BRTAKEN = 512 IMAGE_REL_PPC_BRNTAKEN = 1024 IMAGE_REL_PPC_TOCDEFN = 2048 IMAGE_REL_SH3_ABSOLUTE = 0 IMAGE_REL_SH3_DIRECT16 = 1 IMAGE_REL_SH3_DIRECT32 = 2 IMAGE_REL_SH3_DIRECT8 = 3 IMAGE_REL_SH3_DIRECT8_WORD = 4 IMAGE_REL_SH3_DIRECT8_LONG = 5 IMAGE_REL_SH3_DIRECT4 = 6 IMAGE_REL_SH3_DIRECT4_WORD = 7 IMAGE_REL_SH3_DIRECT4_LONG = 8 IMAGE_REL_SH3_PCREL8_WORD = 9 IMAGE_REL_SH3_PCREL8_LONG = 10 IMAGE_REL_SH3_PCREL12_WORD = 11 IMAGE_REL_SH3_STARTOF_SECTION = 12 IMAGE_REL_SH3_SIZEOF_SECTION = 13 IMAGE_REL_SH3_SECTION = 14 IMAGE_REL_SH3_SECREL = 15 IMAGE_REL_SH3_DIRECT32_NB = 16 IMAGE_SIZEOF_LINENUMBER = 6 IMAGE_SIZEOF_BASE_RELOCATION = 8 IMAGE_REL_BASED_ABSOLUTE = 0 IMAGE_REL_BASED_HIGH = 1 IMAGE_REL_BASED_LOW = 2 IMAGE_REL_BASED_HIGHLOW = 3 IMAGE_REL_BASED_HIGHADJ = 4 IMAGE_REL_BASED_MIPS_JMPADDR = 5 IMAGE_REL_BASED_SECTION = 6 IMAGE_REL_BASED_REL32 = 7 IMAGE_ARCHIVE_START_SIZE = 8 IMAGE_ARCHIVE_START = "!<arch>\n" IMAGE_ARCHIVE_END = "`\n" IMAGE_ARCHIVE_PAD = "\n" IMAGE_ARCHIVE_LINKER_MEMBER = "/ " IMAGE_SIZEOF_ARCHIVE_MEMBER_HDR = 60 IMAGE_ORDINAL_FLAG = -2147483648 def IMAGE_SNAP_BY_ORDINAL(Ordina): return ((Ordinal & IMAGE_ORDINAL_FLAG) != 0) def IMAGE_ORDINAL(Ordina): return (Ordinal & 65535) IMAGE_RESOURCE_NAME_IS_STRING = -2147483648 IMAGE_RESOURCE_DATA_IS_DIRECTORY = -2147483648 IMAGE_DEBUG_TYPE_UNKNOWN = 0 IMAGE_DEBUG_TYPE_COFF = 1 IMAGE_DEBUG_TYPE_CODEVIEW = 2 IMAGE_DEBUG_TYPE_FPO = 3 IMAGE_DEBUG_TYPE_MISC = 4 IMAGE_DEBUG_TYPE_EXCEPTION = 5 IMAGE_DEBUG_TYPE_FIXUP = 6 IMAGE_DEBUG_TYPE_OMAP_TO_SRC = 7 IMAGE_DEBUG_TYPE_OMAP_FROM_SRC = 8 IMAGE_DEBUG_TYPE_BORLAND = 9 FRAME_FPO = 0 FRAME_TRAP = 1 FRAME_TSS = 2 FRAME_NONFPO = 3 SIZEOF_RFPO_DATA = 16 IMAGE_DEBUG_MISC_EXENAME = 1 IMAGE_SEPARATE_DEBUG_SIGNATURE = 18756 IMAGE_SEPARATE_DEBUG_FLAGS_MASK = 32768 IMAGE_SEPARATE_DEBUG_MISMATCH = 32768 # Included from string.h _NLSCMPERROR = 2147483647 NULL = 0 HEAP_NO_SERIALIZE = 1 HEAP_GROWABLE = 2 HEAP_GENERATE_EXCEPTIONS = 4 HEAP_ZERO_MEMORY = 8 HEAP_REALLOC_IN_PLACE_ONLY = 16 HEAP_TAIL_CHECKING_ENABLED = 32 HEAP_FREE_CHECKING_ENABLED = 64 HEAP_DISABLE_COALESCE_ON_FREE = 128 HEAP_CREATE_ALIGN_16 = 65536 HEAP_CREATE_ENABLE_TRACING = 131072 HEAP_MAXIMUM_TAG = 4095 HEAP_PSEUDO_TAG_FLAG = 32768 HEAP_TAG_SHIFT = 16 IS_TEXT_UNICODE_ASCII16 = 1 IS_TEXT_UNICODE_REVERSE_ASCII16 = 16 IS_TEXT_UNICODE_STATISTICS = 2 IS_TEXT_UNICODE_REVERSE_STATISTICS = 32 IS_TEXT_UNICODE_CONTROLS = 4 IS_TEXT_UNICODE_REVERSE_CONTROLS = 64 IS_TEXT_UNICODE_SIGNATURE = 8 IS_TEXT_UNICODE_REVERSE_SIGNATURE = 128 IS_TEXT_UNICODE_ILLEGAL_CHARS = 256 IS_TEXT_UNICODE_ODD_LENGTH = 512 IS_TEXT_UNICODE_DBCS_LEADBYTE = 1024 IS_TEXT_UNICODE_NULL_BYTES = 4096 IS_TEXT_UNICODE_UNICODE_MASK = 15 IS_TEXT_UNICODE_REVERSE_MASK = 240 IS_TEXT_UNICODE_NOT_UNICODE_MASK = 3840 IS_TEXT_UNICODE_NOT_ASCII_MASK = 61440 COMPRESSION_FORMAT_NONE = (0) COMPRESSION_FORMAT_DEFAULT = (1) COMPRESSION_FORMAT_LZNT1 = (2) COMPRESSION_ENGINE_STANDARD = (0) COMPRESSION_ENGINE_MAXIMUM = (256) MESSAGE_RESOURCE_UNICODE = 1 RTL_CRITSECT_TYPE = 0 RTL_RESOURCE_TYPE = 1 SEF_DACL_AUTO_INHERIT = 1 SEF_SACL_AUTO_INHERIT = 2 SEF_DEFAULT_DESCRIPTOR_FOR_OBJECT = 4 SEF_AVOID_PRIVILEGE_CHECK = 8 DLL_PROCESS_ATTACH = 1 DLL_THREAD_ATTACH = 2 DLL_THREAD_DETACH = 3 DLL_PROCESS_DETACH = 0 EVENTLOG_SEQUENTIAL_READ = 0X0001 EVENTLOG_SEEK_READ = 0X0002 EVENTLOG_FORWARDS_READ = 0X0004 EVENTLOG_BACKWARDS_READ = 0X0008 EVENTLOG_SUCCESS = 0X0000 EVENTLOG_ERROR_TYPE = 1 EVENTLOG_WARNING_TYPE = 2 EVENTLOG_INFORMATION_TYPE = 4 EVENTLOG_AUDIT_SUCCESS = 8 EVENTLOG_AUDIT_FAILURE = 16 EVENTLOG_START_PAIRED_EVENT = 1 EVENTLOG_END_PAIRED_EVENT = 2 EVENTLOG_END_ALL_PAIRED_EVENTS = 4 EVENTLOG_PAIRED_EVENT_ACTIVE = 8 EVENTLOG_PAIRED_EVENT_INACTIVE = 16 KEY_QUERY_VALUE = (1) KEY_SET_VALUE = (2) KEY_CREATE_SUB_KEY = (4) KEY_ENUMERATE_SUB_KEYS = (8) KEY_NOTIFY = (16) KEY_CREATE_LINK = (32) KEY_READ = ((STANDARD_RIGHTS_READ |\ KEY_QUERY_VALUE |\ KEY_ENUMERATE_SUB_KEYS |\ KEY_NOTIFY) \ & \ (~SYNCHRONIZE)) KEY_WRITE = ((STANDARD_RIGHTS_WRITE |\ KEY_SET_VALUE |\ KEY_CREATE_SUB_KEY) \ & \ (~SYNCHRONIZE)) KEY_EXECUTE = ((KEY_READ) \ & \ (~SYNCHRONIZE)) KEY_ALL_ACCESS = ((STANDARD_RIGHTS_ALL |\ KEY_QUERY_VALUE |\ KEY_SET_VALUE |\ KEY_CREATE_SUB_KEY |\ KEY_ENUMERATE_SUB_KEYS |\ KEY_NOTIFY |\ KEY_CREATE_LINK) \ & \ (~SYNCHRONIZE)) REG_OPTION_RESERVED = (0) REG_OPTION_NON_VOLATILE = (0) REG_OPTION_VOLATILE = (1) REG_OPTION_CREATE_LINK = (2) REG_OPTION_BACKUP_RESTORE = (4) REG_OPTION_OPEN_LINK = (8) REG_LEGAL_OPTION = \ (REG_OPTION_RESERVED |\ REG_OPTION_NON_VOLATILE |\ REG_OPTION_VOLATILE |\ REG_OPTION_CREATE_LINK |\ REG_OPTION_BACKUP_RESTORE |\ REG_OPTION_OPEN_LINK) REG_CREATED_NEW_KEY = (1) REG_OPENED_EXISTING_KEY = (2) REG_WHOLE_HIVE_VOLATILE = (1) REG_REFRESH_HIVE = (2) REG_NO_LAZY_FLUSH = (4) REG_NOTIFY_CHANGE_NAME = (1) REG_NOTIFY_CHANGE_ATTRIBUTES = (2) REG_NOTIFY_CHANGE_LAST_SET = (4) REG_NOTIFY_CHANGE_SECURITY = (8) REG_LEGAL_CHANGE_FILTER = \ (REG_NOTIFY_CHANGE_NAME |\ REG_NOTIFY_CHANGE_ATTRIBUTES |\ REG_NOTIFY_CHANGE_LAST_SET |\ REG_NOTIFY_CHANGE_SECURITY) REG_NONE = ( 0 ) REG_SZ = ( 1 ) REG_EXPAND_SZ = ( 2 ) REG_BINARY = ( 3 ) REG_DWORD = ( 4 ) REG_DWORD_LITTLE_ENDIAN = ( 4 ) REG_DWORD_BIG_ENDIAN = ( 5 ) REG_LINK = ( 6 ) REG_MULTI_SZ = ( 7 ) REG_RESOURCE_LIST = ( 8 ) REG_FULL_RESOURCE_DESCRIPTOR = ( 9 ) REG_RESOURCE_REQUIREMENTS_LIST = ( 10 ) SERVICE_KERNEL_DRIVER = 1 SERVICE_FILE_SYSTEM_DRIVER = 2 SERVICE_ADAPTER = 4 SERVICE_RECOGNIZER_DRIVER = 8 SERVICE_DRIVER = (SERVICE_KERNEL_DRIVER | \ SERVICE_FILE_SYSTEM_DRIVER | \ SERVICE_RECOGNIZER_DRIVER) SERVICE_WIN32_OWN_PROCESS = 16 SERVICE_WIN32_SHARE_PROCESS = 32 SERVICE_WIN32 = (SERVICE_WIN32_OWN_PROCESS | \ SERVICE_WIN32_SHARE_PROCESS) SERVICE_INTERACTIVE_PROCESS = 256 SERVICE_TYPE_ALL = (SERVICE_WIN32 | \ SERVICE_ADAPTER | \ SERVICE_DRIVER | \ SERVICE_INTERACTIVE_PROCESS) SERVICE_BOOT_START = 0 SERVICE_SYSTEM_START = 1 SERVICE_AUTO_START = 2 SERVICE_DEMAND_START = 3 SERVICE_DISABLED = 4 SERVICE_ERROR_IGNORE = 0 SERVICE_ERROR_NORMAL = 1 SERVICE_ERROR_SEVERE = 2 SERVICE_ERROR_CRITICAL = 3 TAPE_ERASE_SHORT = 0 TAPE_ERASE_LONG = 1 TAPE_LOAD = 0 TAPE_UNLOAD = 1 TAPE_TENSION = 2 TAPE_LOCK = 3 TAPE_UNLOCK = 4 TAPE_FORMAT = 5 TAPE_SETMARKS = 0 TAPE_FILEMARKS = 1 TAPE_SHORT_FILEMARKS = 2 TAPE_LONG_FILEMARKS = 3 TAPE_ABSOLUTE_POSITION = 0 TAPE_LOGICAL_POSITION = 1 TAPE_PSEUDO_LOGICAL_POSITION = 2 TAPE_REWIND = 0 TAPE_ABSOLUTE_BLOCK = 1 TAPE_LOGICAL_BLOCK = 2 TAPE_PSEUDO_LOGICAL_BLOCK = 3 TAPE_SPACE_END_OF_DATA = 4 TAPE_SPACE_RELATIVE_BLOCKS = 5 TAPE_SPACE_FILEMARKS = 6 TAPE_SPACE_SEQUENTIAL_FMKS = 7 TAPE_SPACE_SETMARKS = 8 TAPE_SPACE_SEQUENTIAL_SMKS = 9 TAPE_DRIVE_FIXED = 1 TAPE_DRIVE_SELECT = 2 TAPE_DRIVE_INITIATOR = 4 TAPE_DRIVE_ERASE_SHORT = 16 TAPE_DRIVE_ERASE_LONG = 32 TAPE_DRIVE_ERASE_BOP_ONLY = 64 TAPE_DRIVE_ERASE_IMMEDIATE = 128 TAPE_DRIVE_TAPE_CAPACITY = 256 TAPE_DRIVE_TAPE_REMAINING = 512 TAPE_DRIVE_FIXED_BLOCK = 1024 TAPE_DRIVE_VARIABLE_BLOCK = 2048 TAPE_DRIVE_WRITE_PROTECT = 4096 TAPE_DRIVE_EOT_WZ_SIZE = 8192 TAPE_DRIVE_ECC = 65536 TAPE_DRIVE_COMPRESSION = 131072 TAPE_DRIVE_PADDING = 262144 TAPE_DRIVE_REPORT_SMKS = 524288 TAPE_DRIVE_GET_ABSOLUTE_BLK = 1048576 TAPE_DRIVE_GET_LOGICAL_BLK = 2097152 TAPE_DRIVE_SET_EOT_WZ_SIZE = 4194304 TAPE_DRIVE_EJECT_MEDIA = 16777216 TAPE_DRIVE_RESERVED_BIT = -2147483648 TAPE_DRIVE_LOAD_UNLOAD = -2147483647 TAPE_DRIVE_TENSION = -2147483646 TAPE_DRIVE_LOCK_UNLOCK = -2147483644 TAPE_DRIVE_REWIND_IMMEDIATE = -2147483640 TAPE_DRIVE_SET_BLOCK_SIZE = -2147483632 TAPE_DRIVE_LOAD_UNLD_IMMED = -2147483616 TAPE_DRIVE_TENSION_IMMED = -2147483584 TAPE_DRIVE_LOCK_UNLK_IMMED = -2147483520 TAPE_DRIVE_SET_ECC = -2147483392 TAPE_DRIVE_SET_COMPRESSION = -2147483136 TAPE_DRIVE_SET_PADDING = -2147482624 TAPE_DRIVE_SET_REPORT_SMKS = -2147481600 TAPE_DRIVE_ABSOLUTE_BLK = -2147479552 TAPE_DRIVE_ABS_BLK_IMMED = -2147475456 TAPE_DRIVE_LOGICAL_BLK = -2147467264 TAPE_DRIVE_LOG_BLK_IMMED = -2147450880 TAPE_DRIVE_END_OF_DATA = -2147418112 TAPE_DRIVE_RELATIVE_BLKS = -2147352576 TAPE_DRIVE_FILEMARKS = -2147221504 TAPE_DRIVE_SEQUENTIAL_FMKS = -2146959360 TAPE_DRIVE_SETMARKS = -2146435072 TAPE_DRIVE_SEQUENTIAL_SMKS = -2145386496 TAPE_DRIVE_REVERSE_POSITION = -2143289344 TAPE_DRIVE_SPACE_IMMEDIATE = -2139095040 TAPE_DRIVE_WRITE_SETMARKS = -2130706432 TAPE_DRIVE_WRITE_FILEMARKS = -2113929216 TAPE_DRIVE_WRITE_SHORT_FMKS = -2080374784 TAPE_DRIVE_WRITE_LONG_FMKS = -2013265920 TAPE_DRIVE_WRITE_MARK_IMMED = -1879048192 TAPE_DRIVE_FORMAT = -1610612736 TAPE_DRIVE_FORMAT_IMMEDIATE = -1073741824 TAPE_DRIVE_HIGH_FEATURES = -2147483648 TAPE_FIXED_PARTITIONS = 0 TAPE_SELECT_PARTITIONS = 1 TAPE_INITIATOR_PARTITIONS = 2

699

0

448

e22e54a9a99a8dec899f21dc34205db0365bd080

775

py

Python

esipy/exceptions.py

klinger/EsiPy

f51863034f933c15ec4c506a466576b1b966d5ef

[ "BSD-3-Clause" ]

null

esipy/exceptions.py

klinger/EsiPy

f51863034f933c15ec4c506a466576b1b966d5ef

[ "BSD-3-Clause" ]

null

esipy/exceptions.py

klinger/EsiPy

f51863034f933c15ec4c506a466576b1b966d5ef

[ "BSD-3-Clause" ]

null

# -*- encoding: utf-8 -*- """ Exceptions for EsiPy related errors """ class APIException(Exception): """ Exception for SSO related errors """

35.227273

68

0.532903

# -*- encoding: utf-8 -*- """ Exceptions for EsiPy related errors """ class APIException(Exception): """ Exception for SSO related errors """ def __init__(self, url, code, json_response): self.url = url self.status_code = code self.response = json_response super(APIException, self).__init__(str(self)) def __str__(self): if 'error' in self.response: return 'HTTP Error %s: %s' % (self.status_code, self.response['error']) elif 'message' in self.response: return 'HTTP Error %s: %s' % (self.status_code, self.response['message']) return 'HTTP Error %s' % (self.status_code)

563

0

58

9ea5d5434ac2b3e087de3f3f4a234d09730d9a32

594

py

Python

problems/599.Minimum_Index_Sum_of_Two_Lists/li_counter.py

subramp-prep/leetcode

d125201d9021ab9b1eea5e5393c2db4edd84e740

[ "Unlicense" ]

null

problems/599.Minimum_Index_Sum_of_Two_Lists/li_counter.py

subramp-prep/leetcode

d125201d9021ab9b1eea5e5393c2db4edd84e740

[ "Unlicense" ]

null

problems/599.Minimum_Index_Sum_of_Two_Lists/li_counter.py

subramp-prep/leetcode

d125201d9021ab9b1eea5e5393c2db4edd84e740

[ "Unlicense" ]

null

# coding=utf-8 # Author: Jianghan LI # Question: 599.Minimum_Index_Sum_of_Two_Lists # Date: 2017-05-30, 0 wrong try from collections import Counter s = Solution() print s.findRestaurant(["Shogun", "Tapioca Express", "Burger King", "KFC"], ["KFC", "Shogun", "Burger King"])

28.285714

109

0.606061

# coding=utf-8 # Author: Jianghan LI # Question: 599.Minimum_Index_Sum_of_Two_Lists # Date: 2017-05-30, 0 wrong try from collections import Counter class Solution(object): def findRestaurant(self, l1, l2): d = set(l1) & set(l2) c = Counter({v: i + 1 for i, v in enumerate(l1) if v in d}) + \ Counter({v: i + 1 for i, v in enumerate(l2) if v in d}) res = min(c.values()) return [i for i, v in c.items() if v == res] s = Solution() print s.findRestaurant(["Shogun", "Tapioca Express", "Burger King", "KFC"], ["KFC", "Shogun", "Burger King"])

265

2

50

1eb5869afdf8053c80b5e34a7e2f20873044f9ab

3,666

py

Python

tests/test_awesomeversion.py

agners/awesomeversion

4d03a0a3fb35e35e4eab984423c903cf50137510

[ "MIT" ]

null

tests/test_awesomeversion.py

agners/awesomeversion

4d03a0a3fb35e35e4eab984423c903cf50137510

[ "MIT" ]

null

tests/test_awesomeversion.py

agners/awesomeversion

4d03a0a3fb35e35e4eab984423c903cf50137510

[ "MIT" ]

null

"""Test awesomeversion.""" import json import pytest from awesomeversion import ( AwesomeVersion, AwesomeVersionStrategy, AwesomeVersionStrategyException, ) def test_awesomeversion(): """Test awesomeversion.""" version = AwesomeVersion("2020.12.1") assert not version.beta version = AwesomeVersion("2020.12.1a0") assert version.alpha version = AwesomeVersion("2020.12.1b0") assert version.beta version = AwesomeVersion("2020.12.1dev0") assert version.dev version = AwesomeVersion("2020.12.1d0") assert version.dev version = AwesomeVersion("2020.12.1rc0") assert version.release_candidate assert version.prefix is None version = AwesomeVersion("v2020.12.1rc0") assert version.prefix == "v" version2 = AwesomeVersion(version) assert version == version2 assert str(version) == str(version2) assert str(version) == "v2020.12.1rc0" assert version.string == "2020.12.1rc0" assert repr(version) == "<AwesomeVersion CalVer '2020.12.1rc0'>" assert AwesomeVersion("1.0.0-beta.2").modifier == "beta.2" assert AwesomeVersion("2020.2.0b1").modifier_type == "b" with AwesomeVersion("20.12.0") as current: with AwesomeVersion("20.12.1") as upstream: assert upstream > current def test_serialization(): """Test to and from JSON serialization.""" version = AwesomeVersion("20.12.1") dumps = json.dumps({"version": version}) assert dumps == '{"version": "20.12.1"}' assert json.loads(dumps)["version"] == version.string test_data = [ ("2020.12.1b0"), ("2020.12.1"), ("2021.2.0.dev20210118"), ] @pytest.mark.parametrize("version", test_data) def test_nesting(version): """Test nesting AwesomeVersion objects.""" obj = AwesomeVersion(version) assert obj.string == version assert str(obj) == version assert AwesomeVersion(obj) == AwesomeVersion(version) assert AwesomeVersion(obj).string == AwesomeVersion(version) assert str(AwesomeVersion(obj)) == AwesomeVersion(version) assert AwesomeVersion(obj) == version assert AwesomeVersion(obj).string == version assert str(AwesomeVersion(obj)) == version assert ( AwesomeVersion( AwesomeVersion(AwesomeVersion(AwesomeVersion(AwesomeVersion(obj)))) ) == version ) assert ( AwesomeVersion( AwesomeVersion(AwesomeVersion(AwesomeVersion(AwesomeVersion(obj)))) ).string == version ) assert str( ( AwesomeVersion( AwesomeVersion(AwesomeVersion(AwesomeVersion(AwesomeVersion(obj)))) ) ) == version ) def test_ensure_strategy(caplog): """test ensure_strategy.""" obj = AwesomeVersion("1.0.0", AwesomeVersionStrategy.SEMVER) assert obj.strategy == AwesomeVersionStrategy.SEMVER obj = AwesomeVersion( "1.0.0", [AwesomeVersionStrategy.SEMVER, AwesomeVersionStrategy.SPECIALCONTAINER], ) assert obj.strategy in [ AwesomeVersionStrategy.SEMVER, AwesomeVersionStrategy.SPECIALCONTAINER, ] with pytest.raises(AwesomeVersionStrategyException): AwesomeVersion("1", AwesomeVersionStrategy.SEMVER) with pytest.raises(AwesomeVersionStrategyException): AwesomeVersion( "1", [AwesomeVersionStrategy.SEMVER, AwesomeVersionStrategy.SPECIALCONTAINER], ) obj = AwesomeVersion.ensure_strategy("1.0.0", AwesomeVersionStrategy.SEMVER) assert ( "Using AwesomeVersion.ensure_strategy(version, strategy) is deprecated" in caplog.text )

27.358209

85

0.665576

"""Test awesomeversion.""" import json import pytest from awesomeversion import ( AwesomeVersion, AwesomeVersionStrategy, AwesomeVersionStrategyException, ) def test_awesomeversion(): """Test awesomeversion.""" version = AwesomeVersion("2020.12.1") assert not version.beta version = AwesomeVersion("2020.12.1a0") assert version.alpha version = AwesomeVersion("2020.12.1b0") assert version.beta version = AwesomeVersion("2020.12.1dev0") assert version.dev version = AwesomeVersion("2020.12.1d0") assert version.dev version = AwesomeVersion("2020.12.1rc0") assert version.release_candidate assert version.prefix is None version = AwesomeVersion("v2020.12.1rc0") assert version.prefix == "v" version2 = AwesomeVersion(version) assert version == version2 assert str(version) == str(version2) assert str(version) == "v2020.12.1rc0" assert version.string == "2020.12.1rc0" assert repr(version) == "<AwesomeVersion CalVer '2020.12.1rc0'>" assert AwesomeVersion("1.0.0-beta.2").modifier == "beta.2" assert AwesomeVersion("2020.2.0b1").modifier_type == "b" with AwesomeVersion("20.12.0") as current: with AwesomeVersion("20.12.1") as upstream: assert upstream > current def test_serialization(): """Test to and from JSON serialization.""" version = AwesomeVersion("20.12.1") dumps = json.dumps({"version": version}) assert dumps == '{"version": "20.12.1"}' assert json.loads(dumps)["version"] == version.string test_data = [ ("2020.12.1b0"), ("2020.12.1"), ("2021.2.0.dev20210118"), ] @pytest.mark.parametrize("version", test_data) def test_nesting(version): """Test nesting AwesomeVersion objects.""" obj = AwesomeVersion(version) assert obj.string == version assert str(obj) == version assert AwesomeVersion(obj) == AwesomeVersion(version) assert AwesomeVersion(obj).string == AwesomeVersion(version) assert str(AwesomeVersion(obj)) == AwesomeVersion(version) assert AwesomeVersion(obj) == version assert AwesomeVersion(obj).string == version assert str(AwesomeVersion(obj)) == version assert ( AwesomeVersion( AwesomeVersion(AwesomeVersion(AwesomeVersion(AwesomeVersion(obj)))) ) == version ) assert ( AwesomeVersion( AwesomeVersion(AwesomeVersion(AwesomeVersion(AwesomeVersion(obj)))) ).string == version ) assert str( ( AwesomeVersion( AwesomeVersion(AwesomeVersion(AwesomeVersion(AwesomeVersion(obj)))) ) ) == version ) def test_ensure_strategy(caplog): """test ensure_strategy.""" obj = AwesomeVersion("1.0.0", AwesomeVersionStrategy.SEMVER) assert obj.strategy == AwesomeVersionStrategy.SEMVER obj = AwesomeVersion( "1.0.0", [AwesomeVersionStrategy.SEMVER, AwesomeVersionStrategy.SPECIALCONTAINER], ) assert obj.strategy in [ AwesomeVersionStrategy.SEMVER, AwesomeVersionStrategy.SPECIALCONTAINER, ] with pytest.raises(AwesomeVersionStrategyException): AwesomeVersion("1", AwesomeVersionStrategy.SEMVER) with pytest.raises(AwesomeVersionStrategyException): AwesomeVersion( "1", [AwesomeVersionStrategy.SEMVER, AwesomeVersionStrategy.SPECIALCONTAINER], ) obj = AwesomeVersion.ensure_strategy("1.0.0", AwesomeVersionStrategy.SEMVER) assert ( "Using AwesomeVersion.ensure_strategy(version, strategy) is deprecated" in caplog.text )

0

543dafa81620a4ef6fd62bec3b7da69e65bb0a52

2,934

py

Python

user/migrations/0001_initial.py

Hrsn2861/pysat-server

72224bb0e6af8ef825eaf3259587698b5639b8a5

[ "MIT" ]

null

user/migrations/0001_initial.py

Hrsn2861/pysat-server

72224bb0e6af8ef825eaf3259587698b5639b8a5

[ "MIT" ]

7

2020-06-06T01:55:39.000Z

2022-02-10T11:46:31.000Z

user/migrations/0001_initial.py

Hrsnnnn/pysat-server

72224bb0e6af8ef825eaf3259587698b5639b8a5

[ "MIT" ]

null

# Generated by Django 2.2.5 on 2019-11-02 11:35 from django.db import migrations, models

37.615385

114

0.504431

# Generated by Django 2.2.5 on 2019-11-02 11:35 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='EntryLog', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('session_id', models.IntegerField()), ('user_id', models.IntegerField()), ('login_time', models.DateTimeField()), ('logout_time', models.DateTimeField()), ], options={ 'verbose_name': 'log', 'verbose_name_plural': 'logs', 'get_latest_by': 'id', }, ), migrations.CreateModel( name='Permission', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('user_id', models.IntegerField()), ('school_id', models.IntegerField()), ('permission', models.IntegerField()), ], options={ 'verbose_name': 'permission', 'verbose_name_plural': 'permissions', 'get_latest_by': 'id', }, ), migrations.CreateModel( name='User', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('username', models.CharField(max_length=32)), ('password', models.CharField(max_length=128)), ('phone', models.CharField(max_length=11)), ('email', models.CharField(default='', max_length=64)), ('email_verify', models.CharField(default='', max_length=64)), ('realname', models.CharField(default='', max_length=32)), ('motto', models.CharField(default='', max_length=256)), ('permission', models.IntegerField(default=1)), ], options={ 'verbose_name': 'user', 'verbose_name_plural': 'users', 'get_latest_by': 'id', }, ), migrations.CreateModel( name='VerifyCode', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('session_id', models.IntegerField()), ('phone', models.CharField(max_length=11)), ('code', models.CharField(max_length=8)), ('send_time', models.DateTimeField()), ], options={ 'verbose_name': 'verifycode', 'verbose_name_plural': 'verifycodes', 'get_latest_by': 'id', }, ), ]

0

2,820

23

ca346a4bb1f71cd9d7868ca9808795b7f0dc484d

1,983

py

Python

portfolio/Python/scrapy/swedishtruckparts/parts4scania.py

0--key/lib

ba7a85dda2b208adc290508ca617bdc55a5ded22

[ "Apache-2.0" ]

null

portfolio/Python/scrapy/swedishtruckparts/parts4scania.py

0--key/lib

ba7a85dda2b208adc290508ca617bdc55a5ded22

[ "Apache-2.0" ]

null

portfolio/Python/scrapy/swedishtruckparts/parts4scania.py

0--key/lib

ba7a85dda2b208adc290508ca617bdc55a5ded22

[ "Apache-2.0" ]

5

2016-03-22T07:40:46.000Z

2021-05-30T16:12:21.000Z

import re import os from scrapy.spider import BaseSpider from scrapy.selector import HtmlXPathSelector from scrapy.http import Request, HtmlResponse from scrapy.utils.response import get_base_url from scrapy.utils.url import urljoin_rfc import csv from product_spiders.items import Product, ProductLoader

31.47619

96

0.630862

import re import os from scrapy.spider import BaseSpider from scrapy.selector import HtmlXPathSelector from scrapy.http import Request, HtmlResponse from scrapy.utils.response import get_base_url from scrapy.utils.url import urljoin_rfc import csv from product_spiders.items import Product, ProductLoader class Parts4ScaniaSpider(BaseSpider): name = 'parts4scania.co.uk' allowed_domains = ['www.parts4scania.co.uk'] start_urls = ('http://www.parts4scania.co.uk',) def __init__(self, *args, **kwargs): super(Parts4ScaniaSpider, self).__init__(*args, **kwargs) def parse(self, response): if not isinstance(response, HtmlResponse): return hxs = HtmlXPathSelector(response) # categories categories = hxs.select('//table[@id="NavigationBar4"]//a/@href').extract() for category in categories: url = urljoin_rfc(get_base_url(response), category) yield Request(url) # pages # next_page = hxs.select('').extract() # if next_page: # url = urljoin_rfc(get_base_url(response), next_page[0]) # yield Request(url) # products for product in self.parse_product(response): yield product def parse_product(self, response): if not isinstance(response, HtmlResponse): return hxs = HtmlXPathSelector(response) # products products = hxs.select(u'//b[contains(text(), "\xa3")]/../..') for product in products: product_loader = ProductLoader(item=Product(), selector=product) product_loader.add_xpath('name', './b/font/text()') product_loader.add_value('url', response.url) price = product.select(u'.//b[contains(text(), "\xa3")]/text()').re('\xa3(.*[0-9])') if not price: continue product_loader.add_value('price', price) yield product_loader.load_item()

1,420

231

23

857923f165523a228611c35189dcf54fa43aa704

5,837

py

Python

examples/extension/fruitproperty/pyproperty.py

usnistgov/OOF3D

4fd423a48aea9c5dc207520f02de53ae184be74c

[ "X11" ]

31

2015-04-01T15:59:36.000Z

2022-03-18T20:21:47.000Z

examples/extension/fruitproperty/pyproperty.py

usnistgov/OOF3D

4fd423a48aea9c5dc207520f02de53ae184be74c

[ "X11" ]

3

2015-02-06T19:30:24.000Z

2017-05-25T14:14:31.000Z

examples/extension/fruitproperty/pyproperty.py

usnistgov/OOF3D

4fd423a48aea9c5dc207520f02de53ae184be74c

[ "X11" ]

7

2015-01-23T15:19:22.000Z

2021-06-09T09:03:59.000Z

# -*- python -*- # This software was produced by NIST, an agency of the U.S. government, # and by statute is not subject to copyright in the United States. # Recipients of this software assume all responsibilities associated # with its operation, modification and maintenance. However, to # facilitate maintenance we ask that before distributing modified # versions of this software, you first contact the authors at # oof_manager@nist.gov. # Example of an all-Python property, using the PyPropertyWrapper # mechanism to route callbacks through to Python routines contained # here. # Casting of flux and field to the "most-derived" class via the # PythonExportable mechanism is thinkable, but probably not actually # necessary. The property knows its field and flux as derived types # at construction/initialization time, and can get the appropriate # iterators from them, rather than from the passed-in arguments to # fluxmatrix, fluxrhs, etc. Those it can just use for comparison, # to detect which field is currently presenting its fluxmatrix. from ooflib.SWIG.engine import fieldindex from ooflib.SWIG.engine import outputval from ooflib.SWIG.engine import planarity from ooflib.SWIG.engine import pypropertywrapper from ooflib.SWIG.engine import symmmatrix from ooflib.SWIG.engine.property.elasticity import cijkl from ooflib.common import debug from ooflib.engine import propertyregistration from ooflib.engine import problem Displacement = problem.Displacement Stress = problem.Stress # This property has a simple repr, with no parameters. propertyregistration.PropertyRegistration('PyProperty', TestProp, "fruitproperty.pyproperty", 1000, params=[], fields=[Displacement], fluxes=[Stress], outputs=["Energy", "Strain"], propertyType="Elasticity")

47.455285

79

0.587802

# -*- python -*- # This software was produced by NIST, an agency of the U.S. government, # and by statute is not subject to copyright in the United States. # Recipients of this software assume all responsibilities associated # with its operation, modification and maintenance. However, to # facilitate maintenance we ask that before distributing modified # versions of this software, you first contact the authors at # oof_manager@nist.gov. # Example of an all-Python property, using the PyPropertyWrapper # mechanism to route callbacks through to Python routines contained # here. # Casting of flux and field to the "most-derived" class via the # PythonExportable mechanism is thinkable, but probably not actually # necessary. The property knows its field and flux as derived types # at construction/initialization time, and can get the appropriate # iterators from them, rather than from the passed-in arguments to # fluxmatrix, fluxrhs, etc. Those it can just use for comparison, # to detect which field is currently presenting its fluxmatrix. from ooflib.SWIG.engine import fieldindex from ooflib.SWIG.engine import outputval from ooflib.SWIG.engine import planarity from ooflib.SWIG.engine import pypropertywrapper from ooflib.SWIG.engine import symmmatrix from ooflib.SWIG.engine.property.elasticity import cijkl from ooflib.common import debug from ooflib.engine import propertyregistration from ooflib.engine import problem Displacement = problem.Displacement Stress = problem.Stress class TestProp(pypropertywrapper.PyPropertyWrapper): def __init__(self, registration, name): self.modulus = cijkl.Cijkl(); pypropertywrapper.PyPropertyWrapper.__init__(self, registration, name) # Fixed, hard-coded moduli, for now, numerically HexagonalElasticity self.modulus[0,0] = self.modulus[1,1] = 1.0 self.modulus[0,1] = 0.5 self.modulus[5,5] = 0.25 # Explicitly set all others to zero. self.modulus[0,2] = self.modulus[0,3] = self.modulus[0,4] = 0.0 self.modulus[0,5] = 0.0 self.modulus[1,2] = self.modulus[1,3] = self.modulus[1,4] = 0.0 self.modulus[1,5] = 0.0 self.modulus[2,2] = self.modulus[2,3] = self.modulus[2,4] = 0.0 self.modulus[2,5] = 0.0 self.modulus[3,3] = self.modulus[3,4] = self.modulus[3,5] = 0.0 self.modulus[4,4] = self.modulus[4,5] = 0.0 # This property has a simple repr, with no parameters. def __repr__(self): return "Test(name='%s')" % self.name() def integration_order(self, mesh, element): return element.shapefun_degree() def cross_reference(self, material): # This property requires an orientation to be present in the # same Material. It doesn't actually use it, though... self.orientation = material.fetchProperty('Orientation') def flux_matrix(self, mesh, element, funcnodeiterator, flux, masterpos, fluxdata): # Shape functions. sf = funcnodeiterator.shapefunction(masterpos) dshapedx = funcnodeiterator.dshapefunction(0,masterpos) dshapedy = funcnodeiterator.dshapefunction(1,masterpos) fluxcomp = Stress.iterator(planarity.ALL_INDICES) while not fluxcomp.end(): fieldcomp = Displacement.iterator(planarity.IN_PLANE) while not fieldcomp.end(): ell0 = fieldindex.SymTensorIndex(0, fieldcomp.integer()) ell1 = fieldindex.SymTensorIndex(1, fieldcomp.integer()) v = self.modulus[fluxcomp.integer(), ell0.integer()]*dshapedx+\ self.modulus[fluxcomp.integer(), ell1.integer()]*dshapedy fluxdata.add_stiffness_matrix_element(fluxcomp, Displacement, fieldcomp, funcnodeiterator, v) fieldcomp.next() # loop over out-of-plane strains if not Displacement.in_plane(mesh): dispz = Displacement.out_of_plane() ell = dispz.iterator(planarity.ALL_INDICES) while not ell.end(): if ell.integer() == 2: diag_factor = 1. else: diag_factor = 0.5 v = self.modulus[fluxcomp.integer(), fieldindex.SymTensorIndex( 2,ell.integer()).integer() ] * sf * diag_factor fluxdata.add_stiffness_matrix_element(fluxcomp, dispz, ell, funcnodeiterator, v) ell.next() fluxcomp.next() def output(self, mesh, element, propertyoutput, position): if propertyoutput.name() == "Energy": return outputval.ScalarOutputVal(3.14)*position.mastercoord()[0] if propertyoutput.name() == "Strain": stype = propertyoutput.getRegisteredParamName("type") if stype == "Geometric": return symmmatrix.SymmMatrix3(0,1,2,3,4,5) propertyregistration.PropertyRegistration('PyProperty', TestProp, "fruitproperty.pyproperty", 1000, params=[], fields=[Displacement], fluxes=[Stress], outputs=["Energy", "Strain"], propertyType="Elasticity")

3,513

31

198

64b5a2cb8929ad161a1ee1dc4b0d356c36e7cf8d

2,930

py

Python

distributed_dp/dme_utils.py

AbdulmoneamAli/federated

c54a9f5053d6316f81aa6f6d1eba61068927a33d

[ "Apache-2.0" ]

1

2021-07-29T16:35:21.000Z

distributed_dp/dme_utils.py

AbdulmoneamAli/federated

c54a9f5053d6316f81aa6f6d1eba61068927a33d

[ "Apache-2.0" ]

null

distributed_dp/dme_utils.py

AbdulmoneamAli/federated

c54a9f5053d6316f81aa6f6d1eba61068927a33d

[ "Apache-2.0" ]

null

# Copyright 2021, Google LLC. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Utils for distributed mean estimation.""" import numpy as np import tensorflow as tf from distributed_dp.modular_clipping_factory import modular_clip_by_value def generate_client_data(d, n, l2_norm=1): """Sample `n` of `d`-dim vectors on the l2 ball with radius `l2_norm`. Args: d: The dimension of the client vector. n: The number of clients. l2_norm: The L2 norm of the sampled vector. Returns: A list of `n` np.array each with shape (d,). """ vectors = np.random.normal(size=(n, d)) unit_vectors = vectors / np.linalg.norm(vectors, axis=-1, keepdims=True) scaled_vectors = unit_vectors * l2_norm # Cast to float32 as TF implementations use float32. return list(scaled_vectors.astype(np.float32)) def compute_dp_average(client_data, dp_query, is_compressed, bits): """Aggregate client data with DPQuery's interface and take average.""" global_state = dp_query.initial_global_state() sample_params = dp_query.derive_sample_params(global_state) client_template = tf.zeros_like(client_data[0]) sample_state = dp_query.initial_sample_state(client_template) if is_compressed: # Achieve compression via modular clipping. Upper bound is exclusive. clip_lo, clip_hi = -(2**(bits - 1)), 2**(bits - 1) # 1. Client pre-processing stage. for x in client_data: record = tf.convert_to_tensor(x) prep_record = dp_query.preprocess_record(sample_params, record) # Client applies modular clip on the preprocessed record. prep_record = modular_clip_by_value(prep_record, clip_lo, clip_hi) sample_state = dp_query.accumulate_preprocessed_record( sample_state, prep_record) # 2. Server applies modular clip on the aggregate. sample_state = modular_clip_by_value(sample_state, clip_lo, clip_hi) else: for x in client_data: record = tf.convert_to_tensor(x) sample_state = dp_query.accumulate_record( sample_params, sample_state, record=record) # Apply server post-processing. agg_result, _ = dp_query.get_noised_result(sample_state, global_state) # The agg_result should have the same input type as client_data. assert agg_result.shape == client_data[0].shape assert agg_result.dtype == client_data[0].dtype # Take the average on the aggregate. return agg_result / len(client_data)

37.088608

74

0.743686

# Copyright 2021, Google LLC. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Utils for distributed mean estimation.""" import numpy as np import tensorflow as tf from distributed_dp.modular_clipping_factory import modular_clip_by_value def generate_client_data(d, n, l2_norm=1): """Sample `n` of `d`-dim vectors on the l2 ball with radius `l2_norm`. Args: d: The dimension of the client vector. n: The number of clients. l2_norm: The L2 norm of the sampled vector. Returns: A list of `n` np.array each with shape (d,). """ vectors = np.random.normal(size=(n, d)) unit_vectors = vectors / np.linalg.norm(vectors, axis=-1, keepdims=True) scaled_vectors = unit_vectors * l2_norm # Cast to float32 as TF implementations use float32. return list(scaled_vectors.astype(np.float32)) def compute_dp_average(client_data, dp_query, is_compressed, bits): """Aggregate client data with DPQuery's interface and take average.""" global_state = dp_query.initial_global_state() sample_params = dp_query.derive_sample_params(global_state) client_template = tf.zeros_like(client_data[0]) sample_state = dp_query.initial_sample_state(client_template) if is_compressed: # Achieve compression via modular clipping. Upper bound is exclusive. clip_lo, clip_hi = -(2**(bits - 1)), 2**(bits - 1) # 1. Client pre-processing stage. for x in client_data: record = tf.convert_to_tensor(x) prep_record = dp_query.preprocess_record(sample_params, record) # Client applies modular clip on the preprocessed record. prep_record = modular_clip_by_value(prep_record, clip_lo, clip_hi) sample_state = dp_query.accumulate_preprocessed_record( sample_state, prep_record) # 2. Server applies modular clip on the aggregate. sample_state = modular_clip_by_value(sample_state, clip_lo, clip_hi) else: for x in client_data: record = tf.convert_to_tensor(x) sample_state = dp_query.accumulate_record( sample_params, sample_state, record=record) # Apply server post-processing. agg_result, _ = dp_query.get_noised_result(sample_state, global_state) # The agg_result should have the same input type as client_data. assert agg_result.shape == client_data[0].shape assert agg_result.dtype == client_data[0].dtype # Take the average on the aggregate. return agg_result / len(client_data)

0

d4c2ee1d2c14dcb31de7addfc1b457de42691515

3,199

py

Python

p2ner/components/plugin/overlayviz2/overlayviz/xmlinterface.py

schristakidis/p2ner

46694a41e8c1ebdc28f520b58c126da8785f3eed

[ "Apache-2.0" ]

2

2015-06-01T22:04:34.000Z

2017-07-06T09:35:00.000Z

p2ner/components/plugin/overlayviz2/overlayviz/xmlinterface.py

schristakidis/p2ner

46694a41e8c1ebdc28f520b58c126da8785f3eed

[ "Apache-2.0" ]

null

p2ner/components/plugin/overlayviz2/overlayviz/xmlinterface.py

schristakidis/p2ner

46694a41e8c1ebdc28f520b58c126da8785f3eed

[ "Apache-2.0" ]

1

2019-11-26T10:22:35.000Z

# -*- coding: utf-8 -*- # Copyright 2012 Loris Corazza, Sakis Christakidis # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from p2ner.abstract.interface import Interface from cPickle import loads

33.673684

91

0.524539

# -*- coding: utf-8 -*- # Copyright 2012 Loris Corazza, Sakis Christakidis # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from p2ner.abstract.interface import Interface from cPickle import loads class VizXMLInterface(Interface): def initInterface(self): pass def setId(self,id): self.id=id def getNeighbours(self,func): self.func=func self.neighs={} for peer in self.parent.getRunningClients(self.id): ip=peer[0] port=peer[1] p=peer[7] self.neighs[(ip,port)]={} self.neighs[(ip,port)]['response']=False for ov in range(3): self.neighs[(ip,port)][ov]={} p.getNeighbours(self.id,ip,port,self.gotNeighs,self.failed) def failed(self,err,ip,port): del self.neighs[(ip,port)] self.parent.removePeer(ip,port) for p in self.neighs.values(): if not p['response']: return self.constructNeighs() def gotNeighs(self,neighs,ip,port): if self.neighs[(ip,port)]['response']: print 'already got the neighs from that peer' print '!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!' self.neighs[(ip,port)]['response']=True for ov,v in neighs.items(): if v: n = [loads(p) for p in v['neighs']] for p in n: try: p.plotRtt=sum(p.lastRtt)/len(p.lastRtt) except: print 'no rtt values ',p.lastRtt p.plotRtt=1 self.neighs[(ip,port)][int(ov)]['neighs']=n self.neighs[(ip,port)][int(ov)]['energy']=neighs[ov]['energy'] self.neighs[(ip,port)][int(ov)]['stats']=neighs[ov]['stats'] else: self.neighs[(ip,port)][int(ov)]=None for p in self.neighs.values(): if not p['response']: return self.constructNeighs() def constructNeighs(self): ret={} for ov in range(3): ret[ov]={} ret[ov]['neighs']={} ret[ov]['energy']=[] ret[ov]['stats']={} energy=[] for peer,v in self.neighs.items(): if v[ov]: ret[ov]['energy'].append(v[ov]['energy']) ret[ov]['neighs'][peer]=[] for p in v[ov]['neighs']: ret[ov]['neighs'][peer].append(((p.getIP(),p.getPort()),p.plotRtt)) ret[ov]['stats'][peer]=v[ov]['stats'] peers=self.neighs.keys() self.func(peers,ret)

2,286

12

184

c4847d72a088620fab5a7b96015b61f8285613d4

1,858

py

Python

migrations/versions/8580b5c0888c_initial_migrate.py

alchermd/client_payroll

fefb434cb3a4af768a1d01d0e88a4f22f88a2e6c

[ "MIT" ]

2

2018-12-02T01:36:57.000Z

2019-11-23T01:01:49.000Z

migrations/versions/8580b5c0888c_initial_migrate.py

alchermd/client_payroll

fefb434cb3a4af768a1d01d0e88a4f22f88a2e6c

[ "MIT" ]

4

2017-11-03T11:47:05.000Z

2017-11-05T15:20:00.000Z

migrations/versions/8580b5c0888c_initial_migrate.py

alchermd/client_payroll

fefb434cb3a4af768a1d01d0e88a4f22f88a2e6c

[ "MIT" ]

5

2018-04-02T13:52:43.000Z

2022-01-25T06:38:44.000Z

"""Initial migrate Revision ID: 8580b5c0888c Revises: Create Date: 2017-11-02 23:42:58.243681 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = '8580b5c0888c' down_revision = None branch_labels = None depends_on = None

30.966667

65

0.669537

"""Initial migrate Revision ID: 8580b5c0888c Revises: Create Date: 2017-11-02 23:42:58.243681 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = '8580b5c0888c' down_revision = None branch_labels = None depends_on = None def upgrade(): # ### commands auto generated by Alembic - please adjust! ### op.create_table('admins', sa.Column('id', sa.Integer(), nullable=False), sa.Column('username', sa.String(length=25), nullable=False), sa.Column('password', sa.String(length=255), nullable=False), sa.PrimaryKeyConstraint('id'), sa.UniqueConstraint('username') ) op.create_table('employees', sa.Column('id', sa.Integer(), nullable=False), sa.Column('name', sa.String(length=255), nullable=False), sa.Column('date_employed', sa.DateTime(), nullable=True), sa.PrimaryKeyConstraint('id'), sa.UniqueConstraint('name') ) op.create_table('employers', sa.Column('id', sa.Integer(), nullable=False), sa.Column('name', sa.String(length=255), nullable=False), sa.PrimaryKeyConstraint('id'), sa.UniqueConstraint('name') ) op.create_table('payments', sa.Column('id', sa.Integer(), nullable=False), sa.Column('employer_id', sa.Integer(), nullable=True), sa.Column('employee_id', sa.Integer(), nullable=True), sa.Column('payment_date', sa.DateTime(), nullable=True), sa.ForeignKeyConstraint(['employee_id'], ['employees.id'], ), sa.ForeignKeyConstraint(['employer_id'], ['employers.id'], ), sa.PrimaryKeyConstraint('id') ) # ### end Alembic commands ### def downgrade(): # ### commands auto generated by Alembic - please adjust! ### op.drop_table('payments') op.drop_table('employers') op.drop_table('employees') op.drop_table('admins') # ### end Alembic commands ###

1,533

0

46

2d6073c49b3cd04526985cca2603a8dd633458fa

108

py

Python

src/model/__init__.py

celsomilne/soccer

b3b164b6610ebd88b13601970d2d4e65423d0a57

[ "MIT" ]

null

src/model/__init__.py

celsomilne/soccer

b3b164b6610ebd88b13601970d2d4e65423d0a57

[ "MIT" ]

2

2021-06-08T20:34:37.000Z

2022-02-10T01:12:59.000Z

src/model/__init__.py

celsomilne/soccer

b3b164b6610ebd88b13601970d2d4e65423d0a57

[ "MIT" ]

null

from ._base import * from .soccer import SoccerModel from .soccerObjectDetector import SoccerObjectDetector

27

54

0.851852

from ._base import * from .soccer import SoccerModel from .soccerObjectDetector import SoccerObjectDetector

0

d219082334961cda51c1bcbec9e557f2b3ee25de

884

py

Python

examples/uni_arviz_rhat.py

kushagragpt99/kanga

1f2343d15965148ae7c1dea95168c31a87b27c4f

[ "MIT" ]

1

2022-02-03T08:50:35.000Z

examples/uni_arviz_rhat.py

kushagragpt99/kanga

1f2343d15965148ae7c1dea95168c31a87b27c4f

[ "MIT" ]

null

examples/uni_arviz_rhat.py

kushagragpt99/kanga

1f2343d15965148ae7c1dea95168c31a87b27c4f

[ "MIT" ]

null

# Compute potential scale reduction factor (Rhat) using rhat function of kanga, which is rhat of arviz # %% Load packages import arviz as az import numpy as np # %% Define function for computing univariate Rhat based on arviz # x is a numpy array of 3 dimensions, (chain, MC iteration, parameter) # %% Read chains chains = np.array([np.genfromtxt('chain'+str(i+1).zfill(2)+'.csv', delimiter=',') for i in range(4)]) # %% Compute Rhat using rank method # The output of rhat in kanga coincides with the output of Rhat in rstan # See # https://mc-stan.org/rstan/reference/Rhat.html rhat_rank = uni_arviz_rhat(chains, method='rank') print('Rhat based on rank method: {}'.format(rhat_rank))

34

121

0.726244

# Compute potential scale reduction factor (Rhat) using rhat function of kanga, which is rhat of arviz # %% Load packages import arviz as az import numpy as np # %% Define function for computing univariate Rhat based on arviz # x is a numpy array of 3 dimensions, (chain, MC iteration, parameter) def uni_arviz_rhat(x, var_names=None, method='folded', vars=None): return [az.rhat(x.transpose()[i].transpose(), var_names=var_names, method=method) for i in vars or range(x.shape[2])] # %% Read chains chains = np.array([np.genfromtxt('chain'+str(i+1).zfill(2)+'.csv', delimiter=',') for i in range(4)]) # %% Compute Rhat using rank method # The output of rhat in kanga coincides with the output of Rhat in rstan # See # https://mc-stan.org/rstan/reference/Rhat.html rhat_rank = uni_arviz_rhat(chains, method='rank') print('Rhat based on rank method: {}'.format(rhat_rank))

167

0

22

c4d06705bc583b21e2502fb5ef2e395b64121841

971

py

Python

tests/helpers/information/test_read_hacs_manifest.py

bdraco/integration

b30e799bb27fdd978bd68f21909c82005d0dd3ea

[ "MIT" ]

2

2019-06-18T11:30:53.000Z

2019-10-03T21:34:11.000Z

tests/helpers/information/test_read_hacs_manifest.py

bdraco/integration

b30e799bb27fdd978bd68f21909c82005d0dd3ea

[ "MIT" ]

341

2019-06-18T11:30:55.000Z

2021-07-15T05:38:46.000Z

tests/helpers/information/test_read_hacs_manifest.py

bdraco/integration

b30e799bb27fdd978bd68f21909c82005d0dd3ea

[ "MIT" ]

null

"""Helpers: Information: read_hacs_manifest.""" import json # pylint: disable=missing-docstring import os from custom_components.hacs.helpers.functions.information import read_hacs_manifest from custom_components.hacs.share import get_hacs

27.742857

83

0.727085

"""Helpers: Information: read_hacs_manifest.""" import json # pylint: disable=missing-docstring import os from custom_components.hacs.helpers.functions.information import read_hacs_manifest from custom_components.hacs.share import get_hacs def temp_cleanup(tmpdir): hacsdir = f"{tmpdir.dirname}/custom_components/hacs" manifestfile = f"{hacsdir}/manifest.json" if os.path.exists(manifestfile): os.remove(manifestfile) if os.path.exists(hacsdir): os.removedirs(hacsdir) def test_read_hacs_manifest(tmpdir): hacsdir = f"{tmpdir.dirname}/custom_components/hacs" manifestfile = f"{hacsdir}/manifest.json" hacs = get_hacs() hacs.system.config_path = tmpdir.dirname data = {"test": "test"} os.makedirs(hacsdir, exist_ok=True) with open(manifestfile, "w") as manifest_file: manifest_file.write(json.dumps(data)) manifest = read_hacs_manifest() assert data == manifest temp_cleanup(tmpdir)

681

0

46

a28a414297ec2f20a9b5a310b17760682c11db49

1,573

py

Python

ctf/pieces.py

documentedai/capture-the-flag

4dbfba094f2a56a6b581098b603fe49a4515efb6

[ "BSD-3-Clause" ]

null

ctf/pieces.py

documentedai/capture-the-flag

4dbfba094f2a56a6b581098b603fe49a4515efb6

[ "BSD-3-Clause" ]

3

2020-04-22T01:12:06.000Z

2020-04-26T17:59:11.000Z

ctf/pieces.py

documentedai/capture-the-flag

4dbfba094f2a56a6b581098b603fe49a4515efb6

[ "BSD-3-Clause" ]

null

"""Pieces used in Capture The Flag (Ctf) game."""

32.770833

77

0.583598

"""Pieces used in Capture The Flag (Ctf) game.""" class Piece(object): def __init__(self, idx, team, position): """This class initializes the storage of standard attributes, shared amongst the other pieces. Args: idx (:obj:`int`): Index of Piece. team (:obj:`int`): The team this piece belongs to. position (:obj:`tuple`): Location of the piece on the board. """ self.idx = idx self.team = team self.position = position class Unit(Piece): def __init__(self, idx, team, position, has_flag=False, in_jail=False): """Unit piece, representing a controllable character on the board. Args: has_flag (:obj:`bool`, optional): Whether or not the unit has the flag. Defaults to `False`. in_jail (:obj:`bool`, optional): Whether or not the unit is in jail. Defaults to `False`. """ super().__init__(idx, team, position) self.has_flag = has_flag self.in_jail = in_jail class Flag(Piece): def __init__(self, idx, team, position, grounded=True): """Flag piece, representing one of the team's flags. Args: grounded (:obj:`bool`, optional): Whether or not this flag is on the ground. `True` meaning this flag is on the ground, `False` meaning a unit is currently carrying this flag. Defaults to `True`. """ super().__init__(idx, team, position) self.grounded = grounded

0

1,452

69

2c368ee1137bb051389f24bf90f066aacb7f7eb3

6,202

py

Python

black_box/cem.py

domluna/deep-rl-gym-tutorials

7e6f53fac0cd4eb22f73916f477d43e3b6ef8715

[ "MIT" ]

17

2016-05-29T21:47:22.000Z

2021-02-05T07:51:24.000Z

black_box/cem.py

domluna/deep-rl-gym-tutorials

7e6f53fac0cd4eb22f73916f477d43e3b6ef8715

[ "MIT" ]

null

black_box/cem.py

domluna/deep-rl-gym-tutorials

7e6f53fac0cd4eb22f73916f477d43e3b6ef8715

[ "MIT" ]

5

2016-05-29T21:46:58.000Z

2019-05-15T07:00:01.000Z

"""The main idea of CE (Cross Entropy) is to maintain a distribution of possible solution, and update this distribution accordingly. Preliminary investigation showed that applicability of CE to RL problems is restricted severly by the phenomenon that the distribution concentrates to a single point too fast. To prevent this issue, noise is added to the previous stddev/variance update calculation. We implement two algorithms cem, the Cross-Entropy Method (CEM) with noise [1] and Proportional Cross-Entropy (PCEM) [2]. CEM is implemented with decreasing variance noise variance + max(5 - t / 10, 0), where t is the iteration step PCEM is implemented the same as CEM except we adjust the weights, evaluations of f as follows: M = max(weights) m = min(weights) weights = (weight - m) / (M - m + eps) where eps is a very small value to avoid division by 0 An issue with CEM is it might not optimize the actual objective. PCEM helps with this. References: [1] Learning Tetris with the Noisy Cross-Entropy Method (Szita, Lorincz 2006) [2] The Cross-Entropy Method Optimizes for Quantiles (Goschin, Weinstein, Littman 2013) """ from __future__ import absolute_import from __future__ import print_function from __future__ import division from six.moves import range import gym import numpy as np import logging import argparse # only two possible actions 0 or 1 def do_rollout(agent, env, num_steps, render=False): """ Performs actions for num_steps on the environment based on the agents current params """ total_rew = 0 ob = env.reset() for t in range(num_steps): a = agent.act(ob) (ob, reward, done, _) = env.step(a) total_rew += reward if render and t%3==0: env.render() if done: break return total_rew, t+1 # mean and std are 1D array of size d if __name__ == '__main__': logger = logging.getLogger() logger.setLevel(logging.INFO) parser = argparse.ArgumentParser() parser.add_argument('--seed', default=0, type=int, help='random seed') parser.add_argument('--iters', default=50, type=int, help='number of iterations') parser.add_argument('--samples', default=30, type=int, help='number of samples CEM algorithm chooses from on each iter') parser.add_argument('--num_steps', default=200, type=int, help='number of steps/actions in the rollout') parser.add_argument('--top_frac', default=0.2, type=float, help='percentage of top samples used to calculate mean and variance of next iteration') parser.add_argument('--algorithm', default='cem', type=str, choices=['pcem', 'cem']) parser.add_argument('--outdir', default='CartPole-v0-cem', type=str, help='output directory where results are saved (/tmp/ prefixed)') parser.add_argument('--render', action='store_true', help='show rendered results during training') parser.add_argument('--upload', action='store_true', help='upload results via OpenAI API') args = parser.parse_args() print(args) np.random.seed(args.seed) env = gym.make('CartPole-v0') num_steps = args.num_steps ef = None if args.algorithm == 'cem': ef = cem else: ef = pcem outdir = '/tmp/' + args.outdir env.monitor.start(outdir, force=True) f = evaluation_func(BinaryActionLinearPolicy, env, num_steps) # params for cem params = dict(n_iters=args.iters, n_samples=args.samples, top_frac=args.top_frac) u = np.random.randn(env.observation_space.shape[0]+1) var = np.square(np.ones_like(u) * 0.1) for (i, data) in enumerate(ef(f, u, var, **params)): print("Iteration {}. Episode mean reward: {}".format(i, data['y_mean'])) agent = BinaryActionLinearPolicy(data['theta_mean']) if args.render: do_rollout(agent, env, num_steps, render=True) env.monitor.close() # make sure to setup your OPENAI_GYM_API_KEY environment variable if args.upload: gym.upload(outdir, algorithm_id=args.algorithm)

37.587879

150

0.666075

"""The main idea of CE (Cross Entropy) is to maintain a distribution of possible solution, and update this distribution accordingly. Preliminary investigation showed that applicability of CE to RL problems is restricted severly by the phenomenon that the distribution concentrates to a single point too fast. To prevent this issue, noise is added to the previous stddev/variance update calculation. We implement two algorithms cem, the Cross-Entropy Method (CEM) with noise [1] and Proportional Cross-Entropy (PCEM) [2]. CEM is implemented with decreasing variance noise variance + max(5 - t / 10, 0), where t is the iteration step PCEM is implemented the same as CEM except we adjust the weights, evaluations of f as follows: M = max(weights) m = min(weights) weights = (weight - m) / (M - m + eps) where eps is a very small value to avoid division by 0 An issue with CEM is it might not optimize the actual objective. PCEM helps with this. References: [1] Learning Tetris with the Noisy Cross-Entropy Method (Szita, Lorincz 2006) [2] The Cross-Entropy Method Optimizes for Quantiles (Goschin, Weinstein, Littman 2013) """ from __future__ import absolute_import from __future__ import print_function from __future__ import division from six.moves import range import gym import numpy as np import logging import argparse # only two possible actions 0 or 1 class BinaryActionLinearPolicy(object): def __init__(self, theta): self.w = theta[:-1] self.b = theta[-1] def act(self, ob): y = ob.dot(self.w) + self.b a = int(y < 0) return a def do_rollout(agent, env, num_steps, render=False): """ Performs actions for num_steps on the environment based on the agents current params """ total_rew = 0 ob = env.reset() for t in range(num_steps): a = agent.act(ob) (ob, reward, done, _) = env.step(a) total_rew += reward if render and t%3==0: env.render() if done: break return total_rew, t+1 # mean and std are 1D array of size d def cem(f, mean, var, n_iters, n_samples, top_frac): top_n = int(np.round(top_frac * n_samples)) for i in range(n_iters): # generate n_samples each iteration with new mean and stddev samples = np.transpose(np.array([np.random.normal(u, np.sqrt(o), n_samples) for u, o in zip(mean, var)])) ys = np.array([f(s) for s in samples]) # the top samples are the ones which give the lowest f evaluation results top_idxs = ys.argsort()[::-1][:top_n] top_samples = samples[top_idxs] # this is taken straight from [1], constant noise param # dependent on the iteration step. v = max(5 - i / 10, 0) mean = top_samples.mean(axis=0) var = top_samples.var(axis=0) + v yield {'ys': ys, 'theta_mean': mean, 'y_mean': ys.mean()} def pcem(f, mean, var, n_iters, n_samples, top_frac): eps = 1e-10 # avoid dividing by 0 top_n = int(np.round(top_frac * n_samples)) for i in range(n_iters): # generate n_samples each iteration with new mean and stddev samples = np.transpose(np.array([np.random.normal(u, np.sqrt(o), n_samples) for u, o in zip(mean, var)])) ys = np.array([f(s) for s in samples]) max_y = np.max(ys) min_y = np.min(ys) ys = (ys - min_y) / (max_y - min_y + eps) # the top samples are the ones which give the lowest f evaluation results top_idxs = ys.argsort()[::-1][:top_n] top_samples = samples[top_idxs] # this is taken straight from [1], constant noise param # dependent on the iteration step. v = max(5 - i / 10, 0) mean = top_samples.mean(axis=0) var = top_samples.var(axis=0) + v yield {'ys': ys, 'theta_mean': mean, 'y_mean': ys.mean()} def evaluation_func(policy, env, num_steps): def f(theta): agent = policy(theta) rew, t = do_rollout(agent, env, num_steps, render=False) return rew return f if __name__ == '__main__': logger = logging.getLogger() logger.setLevel(logging.INFO) parser = argparse.ArgumentParser() parser.add_argument('--seed', default=0, type=int, help='random seed') parser.add_argument('--iters', default=50, type=int, help='number of iterations') parser.add_argument('--samples', default=30, type=int, help='number of samples CEM algorithm chooses from on each iter') parser.add_argument('--num_steps', default=200, type=int, help='number of steps/actions in the rollout') parser.add_argument('--top_frac', default=0.2, type=float, help='percentage of top samples used to calculate mean and variance of next iteration') parser.add_argument('--algorithm', default='cem', type=str, choices=['pcem', 'cem']) parser.add_argument('--outdir', default='CartPole-v0-cem', type=str, help='output directory where results are saved (/tmp/ prefixed)') parser.add_argument('--render', action='store_true', help='show rendered results during training') parser.add_argument('--upload', action='store_true', help='upload results via OpenAI API') args = parser.parse_args() print(args) np.random.seed(args.seed) env = gym.make('CartPole-v0') num_steps = args.num_steps ef = None if args.algorithm == 'cem': ef = cem else: ef = pcem outdir = '/tmp/' + args.outdir env.monitor.start(outdir, force=True) f = evaluation_func(BinaryActionLinearPolicy, env, num_steps) # params for cem params = dict(n_iters=args.iters, n_samples=args.samples, top_frac=args.top_frac) u = np.random.randn(env.observation_space.shape[0]+1) var = np.square(np.ones_like(u) * 0.1) for (i, data) in enumerate(ef(f, u, var, **params)): print("Iteration {}. Episode mean reward: {}".format(i, data['y_mean'])) agent = BinaryActionLinearPolicy(data['theta_mean']) if args.render: do_rollout(agent, env, num_steps, render=True) env.monitor.close() # make sure to setup your OPENAI_GYM_API_KEY environment variable if args.upload: gym.upload(outdir, algorithm_id=args.algorithm)

2,028

18

142

6a1dc6b0666aee9e976d0587cbda3b6fe02edfd5

851

py

Python

avwx_api/views.py

flyinactor91/AVWX-API

2c56cb4c82b0fc6d1644fbd68693476254928d68

[ "MIT" ]

30

2016-12-16T07:26:13.000Z

2019-03-01T07:57:07.000Z

avwx_api/views.py

flyinactor91/AVWX-API

2c56cb4c82b0fc6d1644fbd68693476254928d68

[ "MIT" ]

12

2018-02-18T20:41:39.000Z

2019-04-13T06:10:54.000Z

avwx_api/views.py

flyinactor91/AVWX-API

2c56cb4c82b0fc6d1644fbd68693476254928d68

[ "MIT" ]

12

2018-02-14T08:53:06.000Z

2019-03-31T19:27:58.000Z

""" Michael duPont - michael@mdupont.com avwx_api.views - Routes and views for the Quart application """ # pylint: disable=W0702 # library from quart import Response, jsonify # module from avwx_api import app # Static Web Pages @app.route("/") @app.route("/home") async def home() -> Response: """Returns static home page""" return await app.send_static_file("html/home.html") @app.route("/ping") def ping() -> Response: """Send empty 200 ping response""" return Response(None, 200) # API Routing Errors @app.route("/api") async def no_report() -> Response: """Returns no report msg""" return jsonify({"error": "No report type given"}), 400 @app.route("/api/metar") @app.route("/api/taf") async def no_station() -> Response: """Returns no station msg""" return jsonify({"error": "No station given"}), 400

19.340909

59

0.66745

""" Michael duPont - michael@mdupont.com avwx_api.views - Routes and views for the Quart application """ # pylint: disable=W0702 # library from quart import Response, jsonify # module from avwx_api import app # Static Web Pages @app.route("/") @app.route("/home") async def home() -> Response: """Returns static home page""" return await app.send_static_file("html/home.html") @app.route("/ping") def ping() -> Response: """Send empty 200 ping response""" return Response(None, 200) # API Routing Errors @app.route("/api") async def no_report() -> Response: """Returns no report msg""" return jsonify({"error": "No report type given"}), 400 @app.route("/api/metar") @app.route("/api/taf") async def no_station() -> Response: """Returns no station msg""" return jsonify({"error": "No station given"}), 400

0

d7ef2a582472d8a5f158d57e9f43f8fbb6fa2f14

27,036

py

Python

third_party/ite/cost/base_i.py

gdikov/adversarial-variational-bayes

ebd692c70349f34bcb3a2086269bd814cafce96f

[ "MIT" ]

11

2017-09-25T07:46:43.000Z

2019-12-04T12:02:49.000Z

Foundations_of_Private_Computation/Split_Learning/concepts-definitions-code/ite-repo/ite/cost/base_i.py

gonzalo-munillag/Private_AI_OpenMined

c23da9cc1c914d10646a0c0bc1a2497fe2cbaaca

[ "MIT" ]

null

Foundations_of_Private_Computation/Split_Learning/concepts-definitions-code/ite-repo/ite/cost/base_i.py

gonzalo-munillag/Private_AI_OpenMined

c23da9cc1c914d10646a0c0bc1a2497fe2cbaaca

[ "MIT" ]

4

2018-04-26T15:08:37.000Z

2019-07-02T14:15:08.000Z

""" Base mutual information estimators. """ from numpy import sum, sqrt, isnan, exp, mean, eye, ones, dot, cumsum, \ hstack, newaxis, maximum, prod, abs, arange, log from numpy.linalg import norm from scipy.spatial.distance import pdist, squareform from scipy.special import factorial from scipy.linalg import det from scipy.sparse.linalg import eigsh from ite.cost.x_initialization import InitX, InitEtaKernel from ite.cost.x_verification import VerCompSubspaceDims, \ VerSubspaceNumberIsK,\ VerOneDSubspaces from ite.shared import compute_dcov_dcorr_statistics, median_heuristic,\ copula_transformation, compute_matrix_r_kcca_kgv from ite.cost.x_kernel import Kernel class BIDistCov(InitX, VerCompSubspaceDims, VerSubspaceNumberIsK): """ Distance covariance estimator using pairwise distances. Partial initialization comes from 'InitX', verification is from 'VerCompSubspaceDims' and 'VerSubspaceNumber' (see 'ite.cost.x_initialization.py', 'ite.cost.x_verification.py'). """ def __init__(self, mult=True, alpha=1): """ Initialize the estimator. Parameters ---------- mult : bool, optional 'True': multiplicative constant relevant (needed) in the estimation. 'False': estimation up to 'proportionality'. (default is True) alpha : float, optional Parameter of the distance covariance: 0 < alpha < 2 (default is 1). Examples -------- >>> import ite >>> co1 = ite.cost.BIDistCov() >>> co2 = ite.cost.BIDistCov(alpha = 1.2) """ # initialize with 'InitX': super().__init__(mult=mult) # other attribute: if alpha <= 0 or alpha >= 2: raise Exception('0 < alpha < 2 is needed for this estimator!') self.alpha = alpha def estimation(self, y, ds): """ Estimate distance covariance. Parameters ---------- y : (number of samples, dimension)-ndarray One row of y corresponds to one sample. ds : int vector Dimensions of the individual subspaces in y; ds[i] = i^th subspace dimension. len(ds) = 2. Returns ------- i : float Estimated distance covariance. References ---------- Gabor J. Szekely and Maria L. Rizzo. Brownian distance covariance. The Annals of Applied Statistics, 3:1236-1265, 2009. Gabor J. Szekely, Maria L. Rizzo, and Nail K. Bakirov. Measuring and testing dependence by correlation of distances. The Annals of Statistics, 35:2769-2794, 2007. Examples -------- i = co.estimation(y,ds) """ # verification: self.verification_compatible_subspace_dimensions(y, ds) self.verification_subspace_number_is_k(ds, 2) num_of_samples = y.shape[0] # number of samples a = compute_dcov_dcorr_statistics(y[:, :ds[0]], self.alpha) b = compute_dcov_dcorr_statistics(y[:, ds[0]:], self.alpha) i = sqrt(sum(a*b)) / num_of_samples return i class BIDistCorr(InitX, VerCompSubspaceDims, VerSubspaceNumberIsK): """ Distance correlation estimator using pairwise distances. Partial initialization comes from 'InitX', verification is from 'VerCompSubspaceDims' and 'VerSubspaceNumber' (see 'ite.cost.x_initialization.py', 'ite.cost.x_verification.py'). """ def __init__(self, mult=True, alpha=1): """ Initialize the estimator. Parameters ---------- mult : bool, optional 'True': multiplicative constant relevant (needed) in the estimation. 'False': estimation up to 'proportionality'. (default is True) alpha : float, optional Parameter of the distance covariance: 0 < alpha < 2 (default is 1). Examples -------- >>> import ite >>> co1 = ite.cost.BIDistCorr() >>> co2 = ite.cost.BIDistCorr(alpha = 1.2) """ # initialize with 'InitX': super().__init__(mult=mult) # other attribute: if alpha <= 0 or alpha >= 2: raise Exception('0 < alpha < 2 is needed for this estimator!') self.alpha = alpha def estimation(self, y, ds): """ Estimate distance correlation. Parameters ---------- y : (number of samples, dimension)-ndarray One row of y corresponds to one sample. ds : int vector Dimensions of the individual subspaces in y; ds[i] = i^th subspace dimension. len(ds) = 2. Returns ------- i : float Estimated distance correlation. References ---------- Gabor J. Szekely and Maria L. Rizzo. Brownian distance covariance. The Annals of Applied Statistics, 3:1236-1265, 2009. Gabor J. Szekely, Maria L. Rizzo, and Nail K. Bakirov. Measuring and testing dependence by correlation of distances. The Annals of Statistics, 35:2769-2794, 2007. Examples -------- i = co.estimation(y,ds) """ # verification: self.verification_compatible_subspace_dimensions(y, ds) self.verification_subspace_number_is_k(ds, 2) a = compute_dcov_dcorr_statistics(y[:, :ds[0]], self.alpha) b = compute_dcov_dcorr_statistics(y[:, ds[0]:], self.alpha) n = sum(a*b) # numerator d1 = sum(a**2) # denumerator-1 (without sqrt) d2 = sum(b**2) # denumerator-2 (without sqrt) if (d1 * d2) == 0: # >=1 of the random variables is constant i = 0 else: i = n / sqrt(d1 * d2) # <A,B> / sqrt(<A,A><B,B>) i = sqrt(i) return i class BI3WayJoint(InitX, VerCompSubspaceDims, VerSubspaceNumberIsK): """ Joint dependency from the mean embedding of the 'joint minus the product of the marginals'. Partial initialization comes from 'InitX', verification is from 'VerCompSubspaceDims' and 'VerSubspaceNumber' (see 'ite.cost.x_initialization.py', 'ite.cost.x_verification.py'). """ def __init__(self, mult=True, sigma1=0.1, sigma2=0.1, sigma3=0.1): """ Initialize the estimator. Parameters ---------- mult : bool, optional 'True': multiplicative constant relevant (needed) in the estimation. 'False': estimation up to 'proportionality'. (default is True) sigma1 : float, optional Std in the RBF kernel on the first subspace (default is sigma1 = 0.1). sigma1 = nan means 'use median heuristic'. sigma2 : float, optional Std in the RBF kernel on the second subspace (default is sigma2 = 0.1). sigma2 = nan means 'use median heuristic'. sigma3 : float, optional Std in the RBF kernel on the third subspace (default is sigma3 = 0.1). sigma3 = nan means 'use median heuristic'. Examples -------- >>> from numpy import nan >>> import ite >>> co1 = ite.cost.BI3WayJoint() >>> co2 = ite.cost.BI3WayJoint(sigma1=0.1,sigma2=0.1,sigma3=0.1) >>> co3 = ite.cost.BI3WayJoint(sigma1=nan,sigma2=nan,sigma3=nan) """ # initialize with 'InitX': super().__init__(mult=mult) # other attributes: self.sigma1, self.sigma2, self.sigma3 = sigma1, sigma2, sigma3 def estimation(self, y, ds): """ Estimate joint dependency. Parameters ---------- y : (number of samples, dimension)-ndarray One row of y corresponds to one sample. ds : int vector Dimensions of the individual subspaces in y; ds[i] = i^th subspace dimension. len(ds) = 3. Returns ------- i : float Estimated joint dependency. References ---------- Dino Sejdinovic, Arthur Gretton, and Wicher Bergsma. A kernel test for three-variable interactions. In Advances in Neural Information Processing Systems (NIPS), pages 1124-1132, 2013. (Lancaster three-variable interaction based dependency index). Henry Oliver Lancaster. The Chi-squared Distribution. John Wiley and Sons Inc, 1969. (Lancaster interaction) Examples -------- i = co.estimation(y,ds) """ # verification: self.verification_compatible_subspace_dimensions(y, ds) self.verification_subspace_number_is_k(ds, 3) # Gram matrices (k1,k2,k3): sigma1, sigma2, sigma3 = self.sigma1, self.sigma2, self.sigma3 # k1 (set co.sigma1 using median heuristic, if needed): if isnan(sigma1): sigma1 = median_heuristic(y[:, 0:ds[0]]) k1 = squareform(pdist(y[:, 0:ds[0]])) k1 = exp(-k1**2 / (2 * sigma1**2)) # k2 (set co.sigma2 using median heuristic, if needed): if isnan(sigma2): sigma2 = median_heuristic(y[:, ds[0]:ds[0]+ds[1]]) k2 = squareform(pdist(y[:, ds[0]:ds[0]+ds[1]])) k2 = exp(-k2**2 / (2 * sigma2**2)) # k3 (set co.sigma3 using median heuristic, if needed): if isnan(sigma3): sigma3 = median_heuristic(y[:, ds[0]+ds[1]:]) k3 = squareform(pdist(y[:, ds[0]+ds[1]:], 'euclidean')) k3 = exp(-k3**2 / (2 * sigma3**2)) prod_of_ks = k1 * k2 * k3 # Hadamard product term1 = mean(prod_of_ks) term2 = -2 * mean(mean(k1, axis=1) * mean(k2, axis=1) * mean(k3, axis=1)) term3 = mean(k1) * mean(k2) * mean(k3) i = term1 + term2 + term3 return i class BI3WayLancaster(InitX, VerCompSubspaceDims, VerSubspaceNumberIsK): """ Estimate the Lancaster three-variable interaction measure. Partial initialization comes from 'InitX', verification is from 'VerCompSubspaceDims' and 'VerSubspaceNumber' (see 'ite.cost.x_initialization.py', 'ite.cost.x_verification.py'). """ def __init__(self, mult=True, sigma1=0.1, sigma2=0.1, sigma3=0.1): """ Initialize the estimator. Parameters ---------- mult : bool, optional 'True': multiplicative constant relevant (needed) in the estimation. 'False': estimation up to 'proportionality'. (default is True) sigma1 : float, optional Std in the RBF kernel on the first subspace (default is sigma1 = 0.1). sigma1 = nan means 'use median heuristic'. sigma2 : float, optional Std in the RBF kernel on the second subspace (default is sigma2 = 0.1). sigma2 = nan means 'use median heuristic'. sigma3 : float, optional Std in the RBF kernel on the third subspace (default is sigma3 = 0.1). sigma3 = nan means 'use median heuristic'. Examples -------- >>> from numpy import nan >>> import ite >>> co1 = ite.cost.BI3WayLancaster() >>> co2 = ite.cost.BI3WayLancaster(sigma1=0.1, sigma2=0.1,\ sigma3=0.1) >>> co3 = ite.cost.BI3WayLancaster(sigma1=nan, sigma2=nan,\ sigma3=nan) """ # initialize with 'InitX': super().__init__(mult=mult) # other attributes: self.sigma1, self.sigma2, self.sigma3 = sigma1, sigma2, sigma3 def estimation(self, y, ds): """ Estimate Lancaster three-variable interaction measure. Parameters ---------- y : (number of samples, dimension)-ndarray One row of y corresponds to one sample. ds : int vector Dimensions of the individual subspaces in y; ds[i] = i^th subspace dimension. len(ds) = 3. Returns ------- i : float Estimated Lancaster three-variable interaction measure. References ---------- Dino Sejdinovic, Arthur Gretton, and Wicher Bergsma. A kernel test for three-variable interactions. In Advances in Neural Information Processing Systems (NIPS), pages 1124-1132, 2013. (Lancaster three-variable interaction based dependency index). Henry Oliver Lancaster. The Chi-squared Distribution. John Wiley and Sons Inc, 1969. (Lancaster interaction) Examples -------- i = co.estimation(y,ds) """ # verification: self.verification_compatible_subspace_dimensions(y, ds) self.verification_subspace_number_is_k(ds, 3) num_of_samples = y.shape[0] # number of samples # Gram matrices (k1,k2,k3): sigma1, sigma2, sigma3 = self.sigma1, self.sigma2, self.sigma3 # k1 (set co.sigma1 using median heuristic, if needed): if isnan(sigma1): sigma1 = median_heuristic(y[:, 0:ds[0]]) k1 = squareform(pdist(y[:, 0:ds[0]])) k1 = exp(-k1**2 / (2 * sigma1**2)) # k2 (set co.sigma2 using median heuristic, if needed): if isnan(sigma2): sigma2 = median_heuristic(y[:, ds[0]:ds[0]+ds[1]]) k2 = squareform(pdist(y[:, ds[0]:ds[0]+ds[1]])) k2 = exp(-k2**2 / (2 * sigma2**2)) # k3 set co.sigma3 using median heuristic, if needed(): if isnan(sigma3): sigma3 = median_heuristic(y[:, ds[0]+ds[1]:]) k3 = squareform(pdist(y[:, ds[0]+ds[1]:])) k3 = exp(-k3**2 / (2 * sigma3**2)) # centering of k1, k2, k3: h = eye(num_of_samples) -\ ones((num_of_samples, num_of_samples)) / num_of_samples k1 = dot(dot(h, k1), h) k2 = dot(dot(h, k2), h) k3 = dot(dot(h, k3), h) i = mean(k1 * k2 * k3) return i class BIHSIC_IChol(InitEtaKernel, VerCompSubspaceDims): """ Estimate HSIC using incomplete Cholesky decomposition. HSIC refers to Hilbert-Schmidt Independence Criterion. Partial initialization comes from 'InitEtaKernel', verification is from 'VerCompSubspaceDims' (see 'ite.cost.x_initialization.py', 'ite.cost.x_verification.py'). Notes ----- The current implementation uses the same kernel an all the subspaces: k = k_1 = ... = k_M, where y = [y^1;...;y^M]. Examples -------- >>> from ite.cost.x_kernel import Kernel >>> import ite >>> co1 = ite.cost.BIHSIC_IChol() >>> co2 = ite.cost.BIHSIC_IChol(eta=1e-3) >>> k = Kernel({'name': 'RBF','sigma': 1}) >>> co3 = ite.cost.BIHSIC_IChol(kernel=k, eta=1e-3) """ def estimation(self, y, ds): """ Estimate HSIC. Parameters ---------- y : (number of samples, dimension)-ndarray One row of y corresponds to one sample. ds : int vector Dimensions of the individual subspaces in y; ds[i] = i^th subspace dimension. Returns ------- i : float Estimated value of HSIC. References ---------- Arthur Gretton, Olivier Bousquet, Alexander Smola and Bernhard Scholkopf. Measuring Statistical Dependence with Hilbert-Schmidt Norms. International Conference on Algorithmic Learnng Theory (ALT), 63-78, 2005. Alain Berlinet and Christine Thomas-Agnan. Reproducing Kernel Hilbert Spaces in Probability and Statistics. Kluwer, 2004. (mean embedding) Examples -------- i = co.estimation(y,ds) """ # verification: self.verification_compatible_subspace_dimensions(y, ds) # initialization: num_of_samples = y.shape[0] # number of samples num_of_subspaces = len(ds) # Step-1 (g1, g2, ...): # 0,d_1,d_1+d_2,...,d_1+...+d_{M-1}; starting indices of the # subspaces: cum_ds = cumsum(hstack((0, ds[:-1]))) gs = list() for m in range(num_of_subspaces): idx = range(cum_ds[m], cum_ds[m] + ds[m]) g = self.kernel.ichol(y[:, idx], num_of_samples * self.eta) g = g - mean(g, axis=0) # center the Gram matrix: dot(g,g.T) gs.append(g) # Step-2 (g1, g2, ... -> i): i = 0 for i1 in range(num_of_subspaces-1): # i1 = 0:M-2 for i2 in range(i1+1, num_of_subspaces): # i2 = i1+1:M-1 i += norm(dot(gs[i2].T, gs[i1]))**2 # norm = Frob. norm i /= num_of_samples**2 return i class BIHoeffding(InitX, VerOneDSubspaces, VerCompSubspaceDims): """ Estimate the multivariate version of Hoeffding's Phi. Partial initialization comes from 'InitX', verification is from 'VerCompSubspaceDims' and 'VerSubspaceNumber' (see 'ite.cost.x_initialization.py', 'ite.cost.x_verification.py'). """ def __init__(self, mult=True, small_sample_adjustment=True): """ Initialize the estimator. Parameters ---------- mult : bool, optional 'True': multiplicative constant relevant (needed) in the estimation. 'False': estimation up to 'proportionality'. (default is True) small_sample_adjustment: boolean, optional Whether we want small-sample adjustment. Examples -------- >>> import ite >>> co1 = ite.cost.BIHoeffding() >>> co2 = ite.cost.BIHoeffding(small_sample_adjustment=False) """ # initialize with 'InitX': super().__init__(mult=mult) # other attributes: self.small_sample_adjustment = small_sample_adjustment def estimation(self, y, ds): """ Estimate multivariate version of Hoeffding's Phi. Parameters ---------- y : (number of samples, dimension)-ndarray One row of y corresponds to one sample. ds : int vector Dimensions of the individual subspaces in y; ds[i] = i^th subspace dimension = 1 for this estimator. Returns ------- i : float Estimated value of the multivariate version of Hoeffding's Phi. References ---------- Sandra Gaiser, Martin Ruppert, Friedrich Schmid. A multivariate version of Hoeffding's Phi-Square. Journal of Multivariate Analysis. 101: pages 2571-2586, 2010. Examples -------- i = co.estimation(y,ds) """ # verification: self.verification_compatible_subspace_dimensions(y, ds) self.verification_one_dimensional_subspaces(ds) num_of_samples, dim = y.shape u = copula_transformation(y) # term1: m = 1 - maximum(u[:, 0][:, newaxis], u[:, 0]) for i in range(1, dim): m *= 1 - maximum(u[:, i][:, newaxis], u[:, i]) term1 = mean(m) # term2: if self.small_sample_adjustment: term2 = \ - mean(prod(1 - u**2 - (1 - u) / num_of_samples, axis=1)) / \ (2**(dim - 1)) else: term2 = - mean(prod(1 - u**2, axis=1)) / (2 ** (dim - 1)) # term3: if self.small_sample_adjustment: term3 = \ ((num_of_samples - 1) * (2 * num_of_samples-1) / (3 * 2 * num_of_samples**2))**dim else: term3 = 1 / 3**dim i = term1 + term2 + term3 if self.mult: if self.small_sample_adjustment: t1 = \ sum((1 - arange(1, num_of_samples) / num_of_samples)**dim * (2*arange(1, num_of_samples) - 1)) \ / num_of_samples**2 t2 = \ -2 * mean(((num_of_samples * (num_of_samples - 1) - arange(1, num_of_samples+1) * arange(num_of_samples)) / (2 * num_of_samples ** 2))**dim) t3 = term3 inv_hd = t1 + t2 + t3 # 1 / h(d, n) else: inv_hd = \ 2 / ((dim + 1) * (dim + 2)) - factorial(dim) / \ (2 ** dim * prod(arange(dim + 1) + 1 / 2)) + \ 1 / 3 ** dim # 1 / h(d)s i /= inv_hd i = sqrt(abs(i)) return i class BIKGV(InitEtaKernel, VerCompSubspaceDims): """ Estimate kernel generalized variance (KGV). Partial initialization comes from 'InitEtaKernel', verification is from 'VerCompSubspaceDims' (see 'ite.cost.x_initialization.py', 'ite.cost.x_verification.py'). """ def __init__(self, mult=True, kernel=Kernel(), eta=1e-2, kappa=0.01): """ Initialize the estimator. Parameters ---------- mult : bool, optional 'True': multiplicative constant relevant (needed) in the estimation. 'False': estimation up to 'proportionality'. (default is True) kernel : Kernel, optional For examples, see 'ite.cost.x_kernel.Kernel' eta : float, >0, optional It is used to control the quality of the incomplete Cholesky decomposition based Gram matrix approximation. Smaller 'eta' means larger sized Gram factor and better approximation. (default is 1e-2) kappa: float, >0 Regularization parameter. Examples -------- >>> import ite >>> from ite.cost.x_kernel import Kernel >>> co1 = ite.cost.BIKGV() >>> co2 = ite.cost.BIKGV(eta=1e-4) >>> co3 = ite.cost.BIKGV(eta=1e-4, kappa=0.02) >>> k = Kernel({'name': 'RBF', 'sigma': 0.3}) >>> co4 = ite.cost.BIKGV(eta=1e-4, kernel=k) """ # initialize with 'InitEtaKernel': super().__init__(mult=mult, kernel=kernel, eta=eta) # other attributes: self.kappa = kappa def estimation(self, y, ds): """ Estimate KGV. Parameters ---------- y : (number of samples, dimension)-ndarray One row of y corresponds to one sample. ds : int vector Dimensions of the individual subspaces in y; ds[i] = i^th subspace dimension. Returns ------- i : float Estimated value of KGV. References ---------- Francis Bach, Michael I. Jordan. Kernel Independent Component Analysis. Journal of Machine Learning Research, 3: 1-48, 2002. Francis Bach, Michael I. Jordan. Learning graphical models with Mercer kernels. International Conference on Neural Information Processing Systems (NIPS), pages 1033-1040, 2002. Examples -------- i = co.estimation(y,ds) """ # verification: self.verification_compatible_subspace_dimensions(y, ds) num_of_samples = y.shape[0] tol = num_of_samples * self.eta r = compute_matrix_r_kcca_kgv(y, ds, self.kernel, tol, self.kappa) i = -log(det(r)) / 2 return i class BIKCCA(InitEtaKernel, VerCompSubspaceDims): """ Kernel canonical correlation analysis (KCCA) based estimator. Partial initialization comes from 'InitEtaKernel', verification is from 'VerCompSubspaceDims' (see 'ite.cost.x_initialization.py', 'ite.cost.x_verification.py'). """ def __init__(self, mult=True, kernel=Kernel(), eta=1e-2, kappa=0.01): """ Initialize the estimator. Parameters ---------- mult : bool, optional 'True': multiplicative constant relevant (needed) in the estimation. 'False': estimation up to 'proportionality'. (default is True) kernel : Kernel, optional For examples, see 'ite.cost.x_kernel.Kernel' eta : float, >0, optional It is used to control the quality of the incomplete Cholesky decomposition based Gram matrix approximation. Smaller 'eta' means larger sized Gram factor and better approximation. (default is 1e-2) kappa: float, >0 Regularization parameter. Examples -------- >>> import ite >>> from ite.cost.x_kernel import Kernel >>> co1 = ite.cost.BIKCCA() >>> co2 = ite.cost.BIKCCA(eta=1e-4) >>> co3 = ite.cost.BIKCCA(eta=1e-4, kappa=0.02) >>> k = Kernel({'name': 'RBF', 'sigma': 0.3}) >>> co4 = ite.cost.BIKCCA(eta=1e-4, kernel=k) """ # initialize with 'InitEtaKernel': super().__init__(mult=mult, kernel=kernel, eta=eta) # other attributes: self.kappa = kappa def estimation(self, y, ds): """ Estimate KCCA. Parameters ---------- y : (number of samples, dimension)-ndarray One row of y corresponds to one sample. ds : int vector Dimensions of the individual subspaces in y; ds[i] = i^th subspace dimension. Returns ------- i : float Estimated value of KCCA. References ---------- Francis Bach, Michael I. Jordan. Learning graphical models with Mercer kernels. International Conference on Neural Information Processing Systems (NIPS), pages 1033-1040, 2002. Examples -------- i = co.estimation(y,ds) """ # verification: self.verification_compatible_subspace_dimensions(y, ds) num_of_samples = y.shape[0] tol = num_of_samples * self.eta r = compute_matrix_r_kcca_kgv(y, ds, self.kernel, tol, self.kappa) eig_min = eigsh(r, k=1, which='SM')[0][0] i = -log(eig_min) / 2 return i

33.543424

79

0.544755

""" Base mutual information estimators. """ from numpy import sum, sqrt, isnan, exp, mean, eye, ones, dot, cumsum, \ hstack, newaxis, maximum, prod, abs, arange, log from numpy.linalg import norm from scipy.spatial.distance import pdist, squareform from scipy.special import factorial from scipy.linalg import det from scipy.sparse.linalg import eigsh from ite.cost.x_initialization import InitX, InitEtaKernel from ite.cost.x_verification import VerCompSubspaceDims, \ VerSubspaceNumberIsK,\ VerOneDSubspaces from ite.shared import compute_dcov_dcorr_statistics, median_heuristic,\ copula_transformation, compute_matrix_r_kcca_kgv from ite.cost.x_kernel import Kernel class BIDistCov(InitX, VerCompSubspaceDims, VerSubspaceNumberIsK): """ Distance covariance estimator using pairwise distances. Partial initialization comes from 'InitX', verification is from 'VerCompSubspaceDims' and 'VerSubspaceNumber' (see 'ite.cost.x_initialization.py', 'ite.cost.x_verification.py'). """ def __init__(self, mult=True, alpha=1): """ Initialize the estimator. Parameters ---------- mult : bool, optional 'True': multiplicative constant relevant (needed) in the estimation. 'False': estimation up to 'proportionality'. (default is True) alpha : float, optional Parameter of the distance covariance: 0 < alpha < 2 (default is 1). Examples -------- >>> import ite >>> co1 = ite.cost.BIDistCov() >>> co2 = ite.cost.BIDistCov(alpha = 1.2) """ # initialize with 'InitX': super().__init__(mult=mult) # other attribute: if alpha <= 0 or alpha >= 2: raise Exception('0 < alpha < 2 is needed for this estimator!') self.alpha = alpha def estimation(self, y, ds): """ Estimate distance covariance. Parameters ---------- y : (number of samples, dimension)-ndarray One row of y corresponds to one sample. ds : int vector Dimensions of the individual subspaces in y; ds[i] = i^th subspace dimension. len(ds) = 2. Returns ------- i : float Estimated distance covariance. References ---------- Gabor J. Szekely and Maria L. Rizzo. Brownian distance covariance. The Annals of Applied Statistics, 3:1236-1265, 2009. Gabor J. Szekely, Maria L. Rizzo, and Nail K. Bakirov. Measuring and testing dependence by correlation of distances. The Annals of Statistics, 35:2769-2794, 2007. Examples -------- i = co.estimation(y,ds) """ # verification: self.verification_compatible_subspace_dimensions(y, ds) self.verification_subspace_number_is_k(ds, 2) num_of_samples = y.shape[0] # number of samples a = compute_dcov_dcorr_statistics(y[:, :ds[0]], self.alpha) b = compute_dcov_dcorr_statistics(y[:, ds[0]:], self.alpha) i = sqrt(sum(a*b)) / num_of_samples return i class BIDistCorr(InitX, VerCompSubspaceDims, VerSubspaceNumberIsK): """ Distance correlation estimator using pairwise distances. Partial initialization comes from 'InitX', verification is from 'VerCompSubspaceDims' and 'VerSubspaceNumber' (see 'ite.cost.x_initialization.py', 'ite.cost.x_verification.py'). """ def __init__(self, mult=True, alpha=1): """ Initialize the estimator. Parameters ---------- mult : bool, optional 'True': multiplicative constant relevant (needed) in the estimation. 'False': estimation up to 'proportionality'. (default is True) alpha : float, optional Parameter of the distance covariance: 0 < alpha < 2 (default is 1). Examples -------- >>> import ite >>> co1 = ite.cost.BIDistCorr() >>> co2 = ite.cost.BIDistCorr(alpha = 1.2) """ # initialize with 'InitX': super().__init__(mult=mult) # other attribute: if alpha <= 0 or alpha >= 2: raise Exception('0 < alpha < 2 is needed for this estimator!') self.alpha = alpha def estimation(self, y, ds): """ Estimate distance correlation. Parameters ---------- y : (number of samples, dimension)-ndarray One row of y corresponds to one sample. ds : int vector Dimensions of the individual subspaces in y; ds[i] = i^th subspace dimension. len(ds) = 2. Returns ------- i : float Estimated distance correlation. References ---------- Gabor J. Szekely and Maria L. Rizzo. Brownian distance covariance. The Annals of Applied Statistics, 3:1236-1265, 2009. Gabor J. Szekely, Maria L. Rizzo, and Nail K. Bakirov. Measuring and testing dependence by correlation of distances. The Annals of Statistics, 35:2769-2794, 2007. Examples -------- i = co.estimation(y,ds) """ # verification: self.verification_compatible_subspace_dimensions(y, ds) self.verification_subspace_number_is_k(ds, 2) a = compute_dcov_dcorr_statistics(y[:, :ds[0]], self.alpha) b = compute_dcov_dcorr_statistics(y[:, ds[0]:], self.alpha) n = sum(a*b) # numerator d1 = sum(a**2) # denumerator-1 (without sqrt) d2 = sum(b**2) # denumerator-2 (without sqrt) if (d1 * d2) == 0: # >=1 of the random variables is constant i = 0 else: i = n / sqrt(d1 * d2) # <A,B> / sqrt(<A,A><B,B>) i = sqrt(i) return i class BI3WayJoint(InitX, VerCompSubspaceDims, VerSubspaceNumberIsK): """ Joint dependency from the mean embedding of the 'joint minus the product of the marginals'. Partial initialization comes from 'InitX', verification is from 'VerCompSubspaceDims' and 'VerSubspaceNumber' (see 'ite.cost.x_initialization.py', 'ite.cost.x_verification.py'). """ def __init__(self, mult=True, sigma1=0.1, sigma2=0.1, sigma3=0.1): """ Initialize the estimator. Parameters ---------- mult : bool, optional 'True': multiplicative constant relevant (needed) in the estimation. 'False': estimation up to 'proportionality'. (default is True) sigma1 : float, optional Std in the RBF kernel on the first subspace (default is sigma1 = 0.1). sigma1 = nan means 'use median heuristic'. sigma2 : float, optional Std in the RBF kernel on the second subspace (default is sigma2 = 0.1). sigma2 = nan means 'use median heuristic'. sigma3 : float, optional Std in the RBF kernel on the third subspace (default is sigma3 = 0.1). sigma3 = nan means 'use median heuristic'. Examples -------- >>> from numpy import nan >>> import ite >>> co1 = ite.cost.BI3WayJoint() >>> co2 = ite.cost.BI3WayJoint(sigma1=0.1,sigma2=0.1,sigma3=0.1) >>> co3 = ite.cost.BI3WayJoint(sigma1=nan,sigma2=nan,sigma3=nan) """ # initialize with 'InitX': super().__init__(mult=mult) # other attributes: self.sigma1, self.sigma2, self.sigma3 = sigma1, sigma2, sigma3 def estimation(self, y, ds): """ Estimate joint dependency. Parameters ---------- y : (number of samples, dimension)-ndarray One row of y corresponds to one sample. ds : int vector Dimensions of the individual subspaces in y; ds[i] = i^th subspace dimension. len(ds) = 3. Returns ------- i : float Estimated joint dependency. References ---------- Dino Sejdinovic, Arthur Gretton, and Wicher Bergsma. A kernel test for three-variable interactions. In Advances in Neural Information Processing Systems (NIPS), pages 1124-1132, 2013. (Lancaster three-variable interaction based dependency index). Henry Oliver Lancaster. The Chi-squared Distribution. John Wiley and Sons Inc, 1969. (Lancaster interaction) Examples -------- i = co.estimation(y,ds) """ # verification: self.verification_compatible_subspace_dimensions(y, ds) self.verification_subspace_number_is_k(ds, 3) # Gram matrices (k1,k2,k3): sigma1, sigma2, sigma3 = self.sigma1, self.sigma2, self.sigma3 # k1 (set co.sigma1 using median heuristic, if needed): if isnan(sigma1): sigma1 = median_heuristic(y[:, 0:ds[0]]) k1 = squareform(pdist(y[:, 0:ds[0]])) k1 = exp(-k1**2 / (2 * sigma1**2)) # k2 (set co.sigma2 using median heuristic, if needed): if isnan(sigma2): sigma2 = median_heuristic(y[:, ds[0]:ds[0]+ds[1]]) k2 = squareform(pdist(y[:, ds[0]:ds[0]+ds[1]])) k2 = exp(-k2**2 / (2 * sigma2**2)) # k3 (set co.sigma3 using median heuristic, if needed): if isnan(sigma3): sigma3 = median_heuristic(y[:, ds[0]+ds[1]:]) k3 = squareform(pdist(y[:, ds[0]+ds[1]:], 'euclidean')) k3 = exp(-k3**2 / (2 * sigma3**2)) prod_of_ks = k1 * k2 * k3 # Hadamard product term1 = mean(prod_of_ks) term2 = -2 * mean(mean(k1, axis=1) * mean(k2, axis=1) * mean(k3, axis=1)) term3 = mean(k1) * mean(k2) * mean(k3) i = term1 + term2 + term3 return i class BI3WayLancaster(InitX, VerCompSubspaceDims, VerSubspaceNumberIsK): """ Estimate the Lancaster three-variable interaction measure. Partial initialization comes from 'InitX', verification is from 'VerCompSubspaceDims' and 'VerSubspaceNumber' (see 'ite.cost.x_initialization.py', 'ite.cost.x_verification.py'). """ def __init__(self, mult=True, sigma1=0.1, sigma2=0.1, sigma3=0.1): """ Initialize the estimator. Parameters ---------- mult : bool, optional 'True': multiplicative constant relevant (needed) in the estimation. 'False': estimation up to 'proportionality'. (default is True) sigma1 : float, optional Std in the RBF kernel on the first subspace (default is sigma1 = 0.1). sigma1 = nan means 'use median heuristic'. sigma2 : float, optional Std in the RBF kernel on the second subspace (default is sigma2 = 0.1). sigma2 = nan means 'use median heuristic'. sigma3 : float, optional Std in the RBF kernel on the third subspace (default is sigma3 = 0.1). sigma3 = nan means 'use median heuristic'. Examples -------- >>> from numpy import nan >>> import ite >>> co1 = ite.cost.BI3WayLancaster() >>> co2 = ite.cost.BI3WayLancaster(sigma1=0.1, sigma2=0.1,\ sigma3=0.1) >>> co3 = ite.cost.BI3WayLancaster(sigma1=nan, sigma2=nan,\ sigma3=nan) """ # initialize with 'InitX': super().__init__(mult=mult) # other attributes: self.sigma1, self.sigma2, self.sigma3 = sigma1, sigma2, sigma3 def estimation(self, y, ds): """ Estimate Lancaster three-variable interaction measure. Parameters ---------- y : (number of samples, dimension)-ndarray One row of y corresponds to one sample. ds : int vector Dimensions of the individual subspaces in y; ds[i] = i^th subspace dimension. len(ds) = 3. Returns ------- i : float Estimated Lancaster three-variable interaction measure. References ---------- Dino Sejdinovic, Arthur Gretton, and Wicher Bergsma. A kernel test for three-variable interactions. In Advances in Neural Information Processing Systems (NIPS), pages 1124-1132, 2013. (Lancaster three-variable interaction based dependency index). Henry Oliver Lancaster. The Chi-squared Distribution. John Wiley and Sons Inc, 1969. (Lancaster interaction) Examples -------- i = co.estimation(y,ds) """ # verification: self.verification_compatible_subspace_dimensions(y, ds) self.verification_subspace_number_is_k(ds, 3) num_of_samples = y.shape[0] # number of samples # Gram matrices (k1,k2,k3): sigma1, sigma2, sigma3 = self.sigma1, self.sigma2, self.sigma3 # k1 (set co.sigma1 using median heuristic, if needed): if isnan(sigma1): sigma1 = median_heuristic(y[:, 0:ds[0]]) k1 = squareform(pdist(y[:, 0:ds[0]])) k1 = exp(-k1**2 / (2 * sigma1**2)) # k2 (set co.sigma2 using median heuristic, if needed): if isnan(sigma2): sigma2 = median_heuristic(y[:, ds[0]:ds[0]+ds[1]]) k2 = squareform(pdist(y[:, ds[0]:ds[0]+ds[1]])) k2 = exp(-k2**2 / (2 * sigma2**2)) # k3 set co.sigma3 using median heuristic, if needed(): if isnan(sigma3): sigma3 = median_heuristic(y[:, ds[0]+ds[1]:]) k3 = squareform(pdist(y[:, ds[0]+ds[1]:])) k3 = exp(-k3**2 / (2 * sigma3**2)) # centering of k1, k2, k3: h = eye(num_of_samples) -\ ones((num_of_samples, num_of_samples)) / num_of_samples k1 = dot(dot(h, k1), h) k2 = dot(dot(h, k2), h) k3 = dot(dot(h, k3), h) i = mean(k1 * k2 * k3) return i class BIHSIC_IChol(InitEtaKernel, VerCompSubspaceDims): """ Estimate HSIC using incomplete Cholesky decomposition. HSIC refers to Hilbert-Schmidt Independence Criterion. Partial initialization comes from 'InitEtaKernel', verification is from 'VerCompSubspaceDims' (see 'ite.cost.x_initialization.py', 'ite.cost.x_verification.py'). Notes ----- The current implementation uses the same kernel an all the subspaces: k = k_1 = ... = k_M, where y = [y^1;...;y^M]. Examples -------- >>> from ite.cost.x_kernel import Kernel >>> import ite >>> co1 = ite.cost.BIHSIC_IChol() >>> co2 = ite.cost.BIHSIC_IChol(eta=1e-3) >>> k = Kernel({'name': 'RBF','sigma': 1}) >>> co3 = ite.cost.BIHSIC_IChol(kernel=k, eta=1e-3) """ def estimation(self, y, ds): """ Estimate HSIC. Parameters ---------- y : (number of samples, dimension)-ndarray One row of y corresponds to one sample. ds : int vector Dimensions of the individual subspaces in y; ds[i] = i^th subspace dimension. Returns ------- i : float Estimated value of HSIC. References ---------- Arthur Gretton, Olivier Bousquet, Alexander Smola and Bernhard Scholkopf. Measuring Statistical Dependence with Hilbert-Schmidt Norms. International Conference on Algorithmic Learnng Theory (ALT), 63-78, 2005. Alain Berlinet and Christine Thomas-Agnan. Reproducing Kernel Hilbert Spaces in Probability and Statistics. Kluwer, 2004. (mean embedding) Examples -------- i = co.estimation(y,ds) """ # verification: self.verification_compatible_subspace_dimensions(y, ds) # initialization: num_of_samples = y.shape[0] # number of samples num_of_subspaces = len(ds) # Step-1 (g1, g2, ...): # 0,d_1,d_1+d_2,...,d_1+...+d_{M-1}; starting indices of the # subspaces: cum_ds = cumsum(hstack((0, ds[:-1]))) gs = list() for m in range(num_of_subspaces): idx = range(cum_ds[m], cum_ds[m] + ds[m]) g = self.kernel.ichol(y[:, idx], num_of_samples * self.eta) g = g - mean(g, axis=0) # center the Gram matrix: dot(g,g.T) gs.append(g) # Step-2 (g1, g2, ... -> i): i = 0 for i1 in range(num_of_subspaces-1): # i1 = 0:M-2 for i2 in range(i1+1, num_of_subspaces): # i2 = i1+1:M-1 i += norm(dot(gs[i2].T, gs[i1]))**2 # norm = Frob. norm i /= num_of_samples**2 return i class BIHoeffding(InitX, VerOneDSubspaces, VerCompSubspaceDims): """ Estimate the multivariate version of Hoeffding's Phi. Partial initialization comes from 'InitX', verification is from 'VerCompSubspaceDims' and 'VerSubspaceNumber' (see 'ite.cost.x_initialization.py', 'ite.cost.x_verification.py'). """ def __init__(self, mult=True, small_sample_adjustment=True): """ Initialize the estimator. Parameters ---------- mult : bool, optional 'True': multiplicative constant relevant (needed) in the estimation. 'False': estimation up to 'proportionality'. (default is True) small_sample_adjustment: boolean, optional Whether we want small-sample adjustment. Examples -------- >>> import ite >>> co1 = ite.cost.BIHoeffding() >>> co2 = ite.cost.BIHoeffding(small_sample_adjustment=False) """ # initialize with 'InitX': super().__init__(mult=mult) # other attributes: self.small_sample_adjustment = small_sample_adjustment def estimation(self, y, ds): """ Estimate multivariate version of Hoeffding's Phi. Parameters ---------- y : (number of samples, dimension)-ndarray One row of y corresponds to one sample. ds : int vector Dimensions of the individual subspaces in y; ds[i] = i^th subspace dimension = 1 for this estimator. Returns ------- i : float Estimated value of the multivariate version of Hoeffding's Phi. References ---------- Sandra Gaiser, Martin Ruppert, Friedrich Schmid. A multivariate version of Hoeffding's Phi-Square. Journal of Multivariate Analysis. 101: pages 2571-2586, 2010. Examples -------- i = co.estimation(y,ds) """ # verification: self.verification_compatible_subspace_dimensions(y, ds) self.verification_one_dimensional_subspaces(ds) num_of_samples, dim = y.shape u = copula_transformation(y) # term1: m = 1 - maximum(u[:, 0][:, newaxis], u[:, 0]) for i in range(1, dim): m *= 1 - maximum(u[:, i][:, newaxis], u[:, i]) term1 = mean(m) # term2: if self.small_sample_adjustment: term2 = \ - mean(prod(1 - u**2 - (1 - u) / num_of_samples, axis=1)) / \ (2**(dim - 1)) else: term2 = - mean(prod(1 - u**2, axis=1)) / (2 ** (dim - 1)) # term3: if self.small_sample_adjustment: term3 = \ ((num_of_samples - 1) * (2 * num_of_samples-1) / (3 * 2 * num_of_samples**2))**dim else: term3 = 1 / 3**dim i = term1 + term2 + term3 if self.mult: if self.small_sample_adjustment: t1 = \ sum((1 - arange(1, num_of_samples) / num_of_samples)**dim * (2*arange(1, num_of_samples) - 1)) \ / num_of_samples**2 t2 = \ -2 * mean(((num_of_samples * (num_of_samples - 1) - arange(1, num_of_samples+1) * arange(num_of_samples)) / (2 * num_of_samples ** 2))**dim) t3 = term3 inv_hd = t1 + t2 + t3 # 1 / h(d, n) else: inv_hd = \ 2 / ((dim + 1) * (dim + 2)) - factorial(dim) / \ (2 ** dim * prod(arange(dim + 1) + 1 / 2)) + \ 1 / 3 ** dim # 1 / h(d)s i /= inv_hd i = sqrt(abs(i)) return i class BIKGV(InitEtaKernel, VerCompSubspaceDims): """ Estimate kernel generalized variance (KGV). Partial initialization comes from 'InitEtaKernel', verification is from 'VerCompSubspaceDims' (see 'ite.cost.x_initialization.py', 'ite.cost.x_verification.py'). """ def __init__(self, mult=True, kernel=Kernel(), eta=1e-2, kappa=0.01): """ Initialize the estimator. Parameters ---------- mult : bool, optional 'True': multiplicative constant relevant (needed) in the estimation. 'False': estimation up to 'proportionality'. (default is True) kernel : Kernel, optional For examples, see 'ite.cost.x_kernel.Kernel' eta : float, >0, optional It is used to control the quality of the incomplete Cholesky decomposition based Gram matrix approximation. Smaller 'eta' means larger sized Gram factor and better approximation. (default is 1e-2) kappa: float, >0 Regularization parameter. Examples -------- >>> import ite >>> from ite.cost.x_kernel import Kernel >>> co1 = ite.cost.BIKGV() >>> co2 = ite.cost.BIKGV(eta=1e-4) >>> co3 = ite.cost.BIKGV(eta=1e-4, kappa=0.02) >>> k = Kernel({'name': 'RBF', 'sigma': 0.3}) >>> co4 = ite.cost.BIKGV(eta=1e-4, kernel=k) """ # initialize with 'InitEtaKernel': super().__init__(mult=mult, kernel=kernel, eta=eta) # other attributes: self.kappa = kappa def estimation(self, y, ds): """ Estimate KGV. Parameters ---------- y : (number of samples, dimension)-ndarray One row of y corresponds to one sample. ds : int vector Dimensions of the individual subspaces in y; ds[i] = i^th subspace dimension. Returns ------- i : float Estimated value of KGV. References ---------- Francis Bach, Michael I. Jordan. Kernel Independent Component Analysis. Journal of Machine Learning Research, 3: 1-48, 2002. Francis Bach, Michael I. Jordan. Learning graphical models with Mercer kernels. International Conference on Neural Information Processing Systems (NIPS), pages 1033-1040, 2002. Examples -------- i = co.estimation(y,ds) """ # verification: self.verification_compatible_subspace_dimensions(y, ds) num_of_samples = y.shape[0] tol = num_of_samples * self.eta r = compute_matrix_r_kcca_kgv(y, ds, self.kernel, tol, self.kappa) i = -log(det(r)) / 2 return i class BIKCCA(InitEtaKernel, VerCompSubspaceDims): """ Kernel canonical correlation analysis (KCCA) based estimator. Partial initialization comes from 'InitEtaKernel', verification is from 'VerCompSubspaceDims' (see 'ite.cost.x_initialization.py', 'ite.cost.x_verification.py'). """ def __init__(self, mult=True, kernel=Kernel(), eta=1e-2, kappa=0.01): """ Initialize the estimator. Parameters ---------- mult : bool, optional 'True': multiplicative constant relevant (needed) in the estimation. 'False': estimation up to 'proportionality'. (default is True) kernel : Kernel, optional For examples, see 'ite.cost.x_kernel.Kernel' eta : float, >0, optional It is used to control the quality of the incomplete Cholesky decomposition based Gram matrix approximation. Smaller 'eta' means larger sized Gram factor and better approximation. (default is 1e-2) kappa: float, >0 Regularization parameter. Examples -------- >>> import ite >>> from ite.cost.x_kernel import Kernel >>> co1 = ite.cost.BIKCCA() >>> co2 = ite.cost.BIKCCA(eta=1e-4) >>> co3 = ite.cost.BIKCCA(eta=1e-4, kappa=0.02) >>> k = Kernel({'name': 'RBF', 'sigma': 0.3}) >>> co4 = ite.cost.BIKCCA(eta=1e-4, kernel=k) """ # initialize with 'InitEtaKernel': super().__init__(mult=mult, kernel=kernel, eta=eta) # other attributes: self.kappa = kappa def estimation(self, y, ds): """ Estimate KCCA. Parameters ---------- y : (number of samples, dimension)-ndarray One row of y corresponds to one sample. ds : int vector Dimensions of the individual subspaces in y; ds[i] = i^th subspace dimension. Returns ------- i : float Estimated value of KCCA. References ---------- Francis Bach, Michael I. Jordan. Learning graphical models with Mercer kernels. International Conference on Neural Information Processing Systems (NIPS), pages 1033-1040, 2002. Examples -------- i = co.estimation(y,ds) """ # verification: self.verification_compatible_subspace_dimensions(y, ds) num_of_samples = y.shape[0] tol = num_of_samples * self.eta r = compute_matrix_r_kcca_kgv(y, ds, self.kernel, tol, self.kappa) eig_min = eigsh(r, k=1, which='SM')[0][0] i = -log(eig_min) / 2 return i

0

289665ab30341dbcc3ad6785d5d631ee488b154e

2,268

py

Python

Chapter 17/17.3.py

adrian88szymanski/Python_Crash_Course_Eric_Matthes

74e9a627e3e044ea30e4a8579843d95fe8e4fc14

[ "MIT" ]

8

2021-07-21T02:52:49.000Z

2022-02-08T20:47:09.000Z

Chapter 17/17.3.py

barbarian47/Python_Crash_Course_Eric_Matthes

74e9a627e3e044ea30e4a8579843d95fe8e4fc14

[ "MIT" ]

null

Chapter 17/17.3.py

barbarian47/Python_Crash_Course_Eric_Matthes

74e9a627e3e044ea30e4a8579843d95fe8e4fc14

[ "MIT" ]

7

2021-06-10T12:27:56.000Z

2022-01-29T13:53:15.000Z

#! python3 print("Task 17.3") import requests from plotly.graph_objs import Bar from plotly import offline def get_response(): """Make an api call, and return the response.""" url = 'https://api.github.com/search/repositories?q=language:python&sort=stars' headers = {'Accept': 'application/vnd.github.v3+json'} r = requests.get(url, headers=headers) return r def get_repo_dicts(r): """Return a set of dicts representing the most popular repositories.""" response_dict = r.json() repo_dicts = response_dict['items'] return repo_dicts def get_project_data(repo_dicts): """Return data needed for each project in visualization.""" repo_links, stars, labels = [], [], [] for repo_dict in repo_dicts: repo_name = repo_dict['name'] repo_url = repo_dict['html_url'] repo_link = f"<a href='{repo_url}'>{repo_name}</a>" repo_links.append(repo_link) stars.append(repo_dict['stargazers_count']) owner = repo_dict['owner']['login'] description = repo_dict['description'] label = f"{owner}<br />{description}" labels.append(label) return repo_links, stars, labels def make_visualization(repo_links, stars, labels): """Generate the visualization of most commented articles.""" data = [{ 'type': 'bar', 'x': repo_links, 'y': stars, 'hovertext': labels, 'marker': { 'color': 'rgb(255, 0, 0)', 'line': {'width': 2, 'color': 'rgb(250, 200, 0)'} }, 'opacity': 0.6, }] my_layout = { 'title': 'Most-Starred Python Projects on GitHub', 'titlefont': {'size': 20}, 'xaxis': { 'title': 'Repository', 'titlefont': {'size': 18}, 'tickfont': {'size': 14}, }, 'yaxis': { 'title': 'Stars', 'titlefont': {'size': 18}, 'tickfont': {'size': 14}, }, } fig = {'data': data, 'layout': my_layout} offline.plot(fig, filename='python_repos.html') if __name__ == '__main__': r = get_response() repo_dicts = get_repo_dicts(r) repo_links, stars, labels = get_project_data(repo_dicts) make_visualization(repo_links, stars, labels)

29.076923

83

0.588183

#! python3 print("Task 17.3") import requests from plotly.graph_objs import Bar from plotly import offline def get_response(): """Make an api call, and return the response.""" url = 'https://api.github.com/search/repositories?q=language:python&sort=stars' headers = {'Accept': 'application/vnd.github.v3+json'} r = requests.get(url, headers=headers) return r def get_repo_dicts(r): """Return a set of dicts representing the most popular repositories.""" response_dict = r.json() repo_dicts = response_dict['items'] return repo_dicts def get_project_data(repo_dicts): """Return data needed for each project in visualization.""" repo_links, stars, labels = [], [], [] for repo_dict in repo_dicts: repo_name = repo_dict['name'] repo_url = repo_dict['html_url'] repo_link = f"<a href='{repo_url}'>{repo_name}</a>" repo_links.append(repo_link) stars.append(repo_dict['stargazers_count']) owner = repo_dict['owner']['login'] description = repo_dict['description'] label = f"{owner}<br />{description}" labels.append(label) return repo_links, stars, labels def make_visualization(repo_links, stars, labels): """Generate the visualization of most commented articles.""" data = [{ 'type': 'bar', 'x': repo_links, 'y': stars, 'hovertext': labels, 'marker': { 'color': 'rgb(255, 0, 0)', 'line': {'width': 2, 'color': 'rgb(250, 200, 0)'} }, 'opacity': 0.6, }] my_layout = { 'title': 'Most-Starred Python Projects on GitHub', 'titlefont': {'size': 20}, 'xaxis': { 'title': 'Repository', 'titlefont': {'size': 18}, 'tickfont': {'size': 14}, }, 'yaxis': { 'title': 'Stars', 'titlefont': {'size': 18}, 'tickfont': {'size': 14}, }, } fig = {'data': data, 'layout': my_layout} offline.plot(fig, filename='python_repos.html') if __name__ == '__main__': r = get_response() repo_dicts = get_repo_dicts(r) repo_links, stars, labels = get_project_data(repo_dicts) make_visualization(repo_links, stars, labels)

0

89ed7f78af8281098bbc29e8127e532af7a1d748

124

py

Python

nj/exceptions.py

trstringer/jersey

08daaf84b7367c56a4c86893878cd16ed690ab08

[ "MIT" ]

7

2018-04-15T18:46:30.000Z

2020-10-03T10:50:31.000Z

nj/exceptions.py

trstringer/jersey

08daaf84b7367c56a4c86893878cd16ed690ab08

[ "MIT" ]

3

2018-01-23T13:44:45.000Z

2020-01-03T20:43:22.000Z

nj/exceptions.py

trstringer/jersey

08daaf84b7367c56a4c86893878cd16ed690ab08

[ "MIT" ]

5

2018-04-15T18:57:49.000Z

2021-06-27T11:44:13.000Z

"""Custom exceptions for this package""" class JerseyError(Exception): """Basic exception for this package""" pass

20.666667

42

0.701613

"""Custom exceptions for this package""" class JerseyError(Exception): """Basic exception for this package""" pass

0

def9b3d01bc3f769f677336481708ac65bc8dffd

1,579

py

Python

Day1-9/6.py

bcongdon/advent_of_code_2018

8f35d93401055d82b305f2887b3a85a67f70c468

[ "MIT" ]

null

Day1-9/6.py

bcongdon/advent_of_code_2018

8f35d93401055d82b305f2887b3a85a67f70c468

[ "MIT" ]

null

Day1-9/6.py

bcongdon/advent_of_code_2018

8f35d93401055d82b305f2887b3a85a67f70c468

[ "MIT" ]

null

# influenced by https://www.reddit.com/r/adventofcode/comments/a3kr4r/2018_day_6_solutions/eb7385m/ import itertools from collections import defaultdict, Counter if __name__ == "__main__": with open("6.txt") as f: points = f.readlines() points = [tuple(int(i) for i in l.split(",")) for l in points] print("Part 1: {}".format(part1(points))) print("Part 2: {}".format(part2(points)))

30.960784

99

0.580747

# influenced by https://www.reddit.com/r/adventofcode/comments/a3kr4r/2018_day_6_solutions/eb7385m/ import itertools from collections import defaultdict, Counter def part1(points): max_x, max_y = max(x[0] for x in points), max(x[1] for x in points) grid = defaultdict(lambda: -1) for x, y in itertools.product(range(max_x + 1), range(max_y + 1)): closest_dist = min(abs(x - i) + abs(y - j) for i, j in points) closest_points = [ (i, j) for i, j in points if abs(x - i) + abs(y - j) == closest_dist ] if len(closest_points) > 1: grid[x, y] = -1 else: grid[x, y] = closest_points[0] # Exclude corners of grid infinite_points = ( set(grid[(x, max_y - 1)] for x in range(max_x)) .union((grid[(max_x - 1, y)] for y in range(max_y))) .union((grid[(x, 0)] for x in range(max_x))) .union((grid[(0, y)] for y in range(max_y))) ) grid_values = list(grid.values()) return max(grid_values.count(p) for p in points if p not in infinite_points) def part2(points): max_x, max_y = max(x[0] for x in points), max(x[1] for x in points) return sum( 1 for x in range(max_x) for y in range(max_y) if sum(abs(x - i) + abs(y - j) for i, j in points) < 10000 ) if __name__ == "__main__": with open("6.txt") as f: points = f.readlines() points = [tuple(int(i) for i in l.split(",")) for l in points] print("Part 1: {}".format(part1(points))) print("Part 2: {}".format(part2(points)))

1,119

0

46

fe26a724953a0c5baec9d22e630995498eeb16db

16,332

py

Python

pybnf/parse.py

arakkkkk/PyBNF

2f4cee1dd0b7467f82ca2fd859a10de2ed61df92

[ "BSD-3-Clause" ]

null

pybnf/parse.py

arakkkkk/PyBNF

2f4cee1dd0b7467f82ca2fd859a10de2ed61df92

[ "BSD-3-Clause" ]

null

pybnf/parse.py

arakkkkk/PyBNF

2f4cee1dd0b7467f82ca2fd859a10de2ed61df92

[ "BSD-3-Clause" ]

null

"""Grammar and methods for parsing the configuration file""" from .printing import PybnfError, print1 from .config import Configuration from string import punctuation import logging import pyparsing as pp import re logger = logging.getLogger(__name__) numkeys_int = ['verbosity', 'parallel_count', 'delete_old_files', 'population_size', 'smoothing', 'max_iterations', 'num_to_output', 'output_every', 'islands', 'migrate_every', 'num_to_migrate', 'init_size', 'local_min_limit', 'reserve_size', 'burn_in', 'sample_every', 'output_hist_every', 'hist_bins', 'refine', 'simplex_max_iterations', 'wall_time_sim', 'wall_time_gen', 'verbosity', 'exchange_every', 'backup_every', 'bootstrap', 'crossover_number', 'ind_var_rounding', 'local_objective_eval', 'reps_per_beta', 'save_best_data', 'parallelize_models', 'adaptive', 'continue_run'] numkeys_float = ['min_objective', 'cognitive', 'social', 'particle_weight', 'particle_weight_final', 'adaptive_n_max', 'adaptive_n_stop', 'adaptive_abs_tol', 'adaptive_rel_tol', 'mutation_rate', 'mutation_factor', 'stop_tolerance', 'step_size', 'simplex_step', 'simplex_log_step', 'simplex_reflection', 'simplex_expansion', 'simplex_contraction', 'simplex_shrink', 'cooling', 'beta_max', 'bootstrap_max_obj', 'simplex_stop_tol', 'v_stop', 'gamma_prob', 'zeta', 'lambda', 'constraint_scale', 'neg_bin_r', 'stablizingCov'] multnumkeys = ['credible_intervals', 'beta', 'beta_range', 'starting_params'] b_var_def_keys = ['uniform_var', 'loguniform_var'] var_def_keys = ['lognormal_var', 'normal_var'] var_def_keys_1or2nums = ['var', 'logvar'] strkeylist = ['bng_command', 'output_dir', 'fit_type', 'objfunc', 'initialization', 'cluster_type', 'scheduler_node', 'scheduler_file', 'de_strategy', 'sbml_integrator', 'simulation_dir'] multstrkeys = ['worker_nodes', 'postprocess', 'output_trajectory', 'output_noise_trajectory'] dictkeys = ['time_course', 'param_scan'] punctuation_safe = re.sub('[:,]', '', punctuation) def parse_normalization_def(s): """ Parse the complicated normalization grammar If the grammar is specified incorrectly, it will end up calling something invalid the normalization type or the exp file, and this error will be caught later. :param s: The string following the equals sign in the normalization key :return: What to write in the config dictionary: A string, or a dictionary {expfile: string} or {expfile: (string, index_list)} or {expfile: (string, name_list)} """ def parse_range(x): """Parse a string as a set of numbers like 10,""" result = [] for part in x.split(','): if '-' in part: a, b = part.split('-') a, b = int(a), int(b) result.extend(range(a, b + 1)) else: a = int(part) result.append(a) return result # Remove all spaces s = re.sub('\s', '', s) if ':' in s: # List of exp files res = dict() i = s.index(':') normtype = s[:i] explist = s[i+1:] exps = re.split(r',(?![^()]*\))', explist) # Dark magic: split on commas that aren't inside parentheses # Achievement unlocked: Use 16 punctuation marks in a row for e in exps: if e[0] == '(' and e[-1] == ')': # It's an exp in parentheses with column-wise specs pair = e[1:-1].split(':') if len(pair) == 1: res[pair[0]] = normtype elif len(pair) == 2: e, cols = pair if re.match('^[\d,\-]+$', cols): col_nums = parse_range(cols) res[e] = (normtype, col_nums) else: col_names = cols.split(',') res[e] = (normtype, col_names) else: raise PybnfError("Parsing normalization key - the item '%s' has too many colons in it" % e) else: # It's just an exp res[e] = normtype return res else: # Single string for all return s

47.476744

125

0.541207

"""Grammar and methods for parsing the configuration file""" from .printing import PybnfError, print1 from .config import Configuration from string import punctuation import logging import pyparsing as pp import re logger = logging.getLogger(__name__) numkeys_int = ['verbosity', 'parallel_count', 'delete_old_files', 'population_size', 'smoothing', 'max_iterations', 'num_to_output', 'output_every', 'islands', 'migrate_every', 'num_to_migrate', 'init_size', 'local_min_limit', 'reserve_size', 'burn_in', 'sample_every', 'output_hist_every', 'hist_bins', 'refine', 'simplex_max_iterations', 'wall_time_sim', 'wall_time_gen', 'verbosity', 'exchange_every', 'backup_every', 'bootstrap', 'crossover_number', 'ind_var_rounding', 'local_objective_eval', 'reps_per_beta', 'save_best_data', 'parallelize_models', 'adaptive', 'continue_run'] numkeys_float = ['min_objective', 'cognitive', 'social', 'particle_weight', 'particle_weight_final', 'adaptive_n_max', 'adaptive_n_stop', 'adaptive_abs_tol', 'adaptive_rel_tol', 'mutation_rate', 'mutation_factor', 'stop_tolerance', 'step_size', 'simplex_step', 'simplex_log_step', 'simplex_reflection', 'simplex_expansion', 'simplex_contraction', 'simplex_shrink', 'cooling', 'beta_max', 'bootstrap_max_obj', 'simplex_stop_tol', 'v_stop', 'gamma_prob', 'zeta', 'lambda', 'constraint_scale', 'neg_bin_r', 'stablizingCov'] multnumkeys = ['credible_intervals', 'beta', 'beta_range', 'starting_params'] b_var_def_keys = ['uniform_var', 'loguniform_var'] var_def_keys = ['lognormal_var', 'normal_var'] var_def_keys_1or2nums = ['var', 'logvar'] strkeylist = ['bng_command', 'output_dir', 'fit_type', 'objfunc', 'initialization', 'cluster_type', 'scheduler_node', 'scheduler_file', 'de_strategy', 'sbml_integrator', 'simulation_dir'] multstrkeys = ['worker_nodes', 'postprocess', 'output_trajectory', 'output_noise_trajectory'] dictkeys = ['time_course', 'param_scan'] punctuation_safe = re.sub('[:,]', '', punctuation) def parse(s): equals = pp.Suppress('=') colon = pp.Suppress(':') comment = pp.Suppress(pp.Optional(pp.Literal('#') - pp.ZeroOrMore(pp.Word(pp.printables)))) # set up multiple grammars # single str value strkeys = pp.oneOf(' '.join(strkeylist), caseless=True) string = pp.Word(pp.alphanums + punctuation) strgram = strkeys - equals - string - comment # single num value numkeys = pp.oneOf(' '.join(numkeys_int + numkeys_float), caseless=True) point = pp.Literal(".") e = pp.CaselessLiteral("E") num = pp.Combine(pp.Word("+-" + pp.nums, pp.nums) + pp.Optional(point + pp.Optional(pp.Word(pp.nums))) + pp.Optional(e + pp.Word("+-" + pp.nums, pp.nums))) numgram = numkeys - equals - num - comment # variable definition grammar strnumkeys = pp.oneOf(' '.join(var_def_keys + b_var_def_keys), caseless=True) bng_parameter = pp.Word(pp.alphas, pp.alphanums + "_") varnums = bng_parameter - num - num - pp.Optional(pp.Word("ubBU")) strnumgram = strnumkeys - equals - varnums - comment # multiple string value grammar multstrkey = pp.oneOf(' '.join(multstrkeys), caseless=True) multstrgram = multstrkey - equals - pp.OneOrMore(string) # var and logvar alt grammar (only one number given) varkeys = pp.oneOf(' '.join(var_def_keys_1or2nums), caseless=True) vargram = varkeys - equals - bng_parameter - num - pp.Optional(num) - comment # multiple num value multnumkey = pp.oneOf(' '.join(multnumkeys), caseless=True) multnumgram = multnumkey - equals - pp.OneOrMore(num) - comment # model-data mapping grammar mdmkey = pp.CaselessLiteral("model") nonetoken = pp.Suppress(pp.CaselessLiteral("none")) model_file = pp.Regex(".*?\.(bngl|xml)") exp_file = pp.Regex(".*?\.(exp|con|prop)") mdmgram = mdmkey - equals - model_file - colon - (pp.delimitedList(exp_file) ^ nonetoken) - comment # normalization mapping grammar normkey = pp.CaselessLiteral("normalization") anything = pp.Word(pp.alphanums+punctuation+' ') normgram = normkey - equals - anything # The set of legal grammars for normalization is too complicated, # Will handle with separate code. # Grammar for dictionary-like specification of simulation actions # We are intentionally over-permissive here, because the Action class will be able to give more helpful error # messages than a failed parse. dict_entry = pp.Word(pp.alphas) - colon - pp.Word(pp.alphanums + punctuation_safe) dict_key = pp.oneOf(' '.join(dictkeys), caseless=True) dictgram = dict_key - equals - pp.delimitedList(dict_entry) - comment # mutant model grammar mutkey = pp.CaselessLiteral('mutant') mut_op = pp.Group(pp.Word(pp.alphas+'_', pp.alphanums+'_') - pp.oneOf('+ - * / =') - num) mutgram = mutkey - equals - string - string - pp.Group(pp.OneOrMore(mut_op)) - \ pp.Group(colon - (pp.delimitedList(exp_file) ^ nonetoken)) - comment # check each grammar and output somewhat legible error message line = (mdmgram | strgram | numgram | strnumgram | multnumgram | multstrgram | vargram | normgram | dictgram | mutgram).parseString(s, parseAll=True).asList() return line def load_config(path): try: infile = open(path, 'r') except FileNotFoundError: raise PybnfError('Configuration file %s not found' % path) param_dict = ploop(infile.readlines()) infile.close() return Configuration(param_dict) def flatten(vs): return vs[0] if len(vs) == 1 else vs def ploop(ls): # parse loop d = {} models = set() exp_data = set() for i, line in enumerate(ls): if re.match('\s*$', line) or re.match('\s*#', line): continue try: logger.debug('Parsing line %s' % line.strip()) l = parse(line) # Find parameter assignments that reference distinct parameters if l[0] in b_var_def_keys: key = (l[0], l[1]) values = [float(x) for x in l[2:4]] if len(l) == 5: values.append(re.fullmatch('b', l[4], flags=re.IGNORECASE) is not None) else: values.append(True) elif l[0] in var_def_keys_1or2nums or l[0] in var_def_keys: key = (l[0], l[1]) values = [float(x) for x in l[2:]] elif l[0] in numkeys_int: key = l[0] values = int(l[1]) elif l[0] in numkeys_float: key = l[0] values = float(l[1]) elif l[0] in multnumkeys: key = l[0] values = [float(x) for x in l[1:]] elif l[0] in multstrkeys: key = l[0] values = l[1:] elif l[0] != 'model': key = l[0] values = flatten(l[1:]) # Find parameter assignments defining model and experimental data if l[0] == 'model': key = l[1] values = l[2:] d[key] = values # individual data files remain in list models.add(key) exp_data.update(values) elif l[0] in dictkeys: # Multiple declarations allowed; config dict entry should contain a list of all the declarations. # Convert the line into a dict of key-value pairs. Keep everything as strings, check later entry = dict() for xi in range(0, len(values), 2): if values[xi] in entry: raise PybnfError('For config key %s, attribute %s is specified multiple times' % (l[0], values[xi])) entry[values[xi]] = values[xi+1] if l[0] in d: d[l[0]].append(entry) else: d[l[0]] = [entry] elif l[0] == 'mutant': if 'mutant' in d: d['mutant'].append(l[1:]) else: d['mutant'] = [l[1:]] exp_data.update(l[-1]) elif l[0] == 'postprocess': if len(values) < 2: raise PybnfError("Config key 'postprocess' should specify a python file, followed by one or more " "suffixes.") if 'postprocess' in d: d['postprocess'].append([values]) else: d['postprocess'] = [values] elif l[0] == 'normalization': # Normalization defined with way too many possible options # At the end of all this, the config dict has one of the following formats: # 'normalization' : 'type' # 'normalization' : {'expfile':'type', 'expfile2':[('type1', [numbers]), ('type2', [colnames]), ...]} parsed = parse_normalization_def(values) if type(parsed) == str: if 'normalization' in d: raise PybnfError('contradictory normalization keys', "Config file contains multiple 'normalization' keys, one of which specifies" " no specific exp files, thereby applying to all of them. If you are using " "this option, you should only have one 'normalization' key in the config file.") d['normalization'] = parsed else: if 'normalization' in d: if type(d['normalization']) != dict: raise PybnfError('contradictory normalization keys', "Config file contains multiple 'normalization' keys, one of which specifies" " no specific exp files, thereby applying to all of them. If you are using " "this option, you should only have one 'normalization' key in the config file.") else: d['normalization'] = dict() for k in parsed: if k in d['normalization'] and (type(parsed[k]) == str or type(d['normalization'][k]) == str): raise PybnfError('contradictory normalization keys for %s' % k, "File %s has normalization specified multiple times in a way that is " "contradictory." % k) if type(parsed[k]) == str: d['normalization'][k] = parsed[k] else: if k not in d['normalization']: d['normalization'][k] = [] d['normalization'][k].append(parsed[k]) else: if key in d: if d[key] == values: print1("Warning: Config key '%s' is specified multiple times" % (key,)) else: raise PybnfError("Config key '%s' is specified multiple times with different values." % (key,)) d[key] = values except pp.ParseBaseException: key = re.split('[ =]', line)[0].lower() fmt = '' if key in numkeys_int: fmt = "'%s=x' where x is an integer" % key elif key in numkeys_float: fmt = "'%s=x' where x is a decimal number" % key elif key in multnumkeys: fmt = "'%s=x1 x2 ...' where x1, x2, ... is a list of numbers" % key elif key in var_def_keys: fmt = "'%s=v x y' where v is a variable name, and x and y are numbers" % key elif key in b_var_def_keys: fmt = "'%s=v x y z' where v is a variable name, x and y are numbers, and z is optional and specifies " \ "whether or not the variable should be bounded ('u' is unbounded, 'b' or left blank is bounded)" % key elif key in var_def_keys_1or2nums: fmt = "'%s=v x' or '%s=v x y' where v is a variable name, and x and y are decimal numbers" % (key, key) elif key in strkeylist: fmt = "'%s=s' where s is a string" % key elif key == 'model': fmt = "'model=modelfile.bngl : datafile.exp' or 'model=modelfile.bngl : datafile1.exp, datafile2.exp'" \ " Supported modelfile extensions are .bngl and .xml" elif key == 'normalization': fmt = "'%s=s' or '%s=s : datafile1.exp, datafile2.exp' where s is a string ('init', 'peak', " \ "'unit', or 'zero')"\ % (key, key) elif key in dictkeys: fmt = "'%s=key1: value1, key2: value2,...' where key1, key2, etc are attributes of the %s (see " \ "documentation for available options)" % (key, key) elif key == 'mutant': fmt = "'mutant=base model var1=val1 var2*val2 ... : datafile1.exp, datafile2.exp' where mutation " \ "operations (var1=val1 etc) have the format [variable_name][operator][number] and other " \ "arguments are strings" message = "Parsing configuration key '%s' on line %s.\n" % (key, i) if fmt == '': message += '%s is not a valid configuration key.' % key else: message += '%s should be specified in the format %s' % (key, fmt) raise PybnfError("Misconfigured config key '%s' at line: %s" % (line.strip(), i), message) d['models'] = models d['exp_data'] = exp_data return d def parse_normalization_def(s): """ Parse the complicated normalization grammar If the grammar is specified incorrectly, it will end up calling something invalid the normalization type or the exp file, and this error will be caught later. :param s: The string following the equals sign in the normalization key :return: What to write in the config dictionary: A string, or a dictionary {expfile: string} or {expfile: (string, index_list)} or {expfile: (string, name_list)} """ def parse_range(x): """Parse a string as a set of numbers like 10,""" result = [] for part in x.split(','): if '-' in part: a, b = part.split('-') a, b = int(a), int(b) result.extend(range(a, b + 1)) else: a = int(part) result.append(a) return result # Remove all spaces s = re.sub('\s', '', s) if ':' in s: # List of exp files res = dict() i = s.index(':') normtype = s[:i] explist = s[i+1:] exps = re.split(r',(?![^()]*\))', explist) # Dark magic: split on commas that aren't inside parentheses # Achievement unlocked: Use 16 punctuation marks in a row for e in exps: if e[0] == '(' and e[-1] == ')': # It's an exp in parentheses with column-wise specs pair = e[1:-1].split(':') if len(pair) == 1: res[pair[0]] = normtype elif len(pair) == 2: e, cols = pair if re.match('^[\d,\-]+$', cols): col_nums = parse_range(cols) res[e] = (normtype, col_nums) else: col_names = cols.split(',') res[e] = (normtype, col_names) else: raise PybnfError("Parsing normalization key - the item '%s' has too many colons in it" % e) else: # It's just an exp res[e] = normtype return res else: # Single string for all return s

11,893

0

92

6e81d1c3a57eefd7fdf314c858a807162d6f994a

1,339

py

Python

dl/callbacks/train.py

timoninn/pide-pipe

2eec6c918cf1edbfa22ba6cfe3af57c9abb53ac6

[ "MIT" ]

1

2019-11-21T07:26:46.000Z

dl/callbacks/train.py

timoninn/pide-pipe

2eec6c918cf1edbfa22ba6cfe3af57c9abb53ac6

[ "MIT" ]

null

dl/callbacks/train.py

timoninn/pide-pipe

2eec6c918cf1edbfa22ba6cfe3af57c9abb53ac6

[ "MIT" ]

null

from typing import Dict, Any import torch from torch import nn from torch.utils.data import DataLoader from torch import optim from torch.optim.lr_scheduler import _LRScheduler from ..core.callback import Callback from ..core.state import State from ..utils.torch import get_available_device

29.108696

77

0.613144

from typing import Dict, Any import torch from torch import nn from torch.utils.data import DataLoader from torch import optim from torch.optim.lr_scheduler import _LRScheduler from ..core.callback import Callback from ..core.state import State from ..utils.torch import get_available_device class TrainCallback(Callback): def __init__( self, criterion: nn.Module, optimizer: optim.Optimizer ): self.optimizer = optimizer self.criterion = criterion def on_begin(self, state: State): state.optimizer = self.optimizer state.criterion = self.criterion def on_batch_begin(self, state: State): with torch.set_grad_enabled(state.is_train_phase): # Criterion may be None for infer and valid phases. if state.is_infer_phase == False and state.criterion is not None: loss = state.criterion(state.output, state.target) state.meter.add_batch_value( phase=state.phase, metric_name='loss', value=loss.item(), batch_size=state.input.size(0) ) if state.is_train_phase: state.optimizer.zero_grad() loss.backward() state.optimizer.step()

931

9

104

771da24f5050ff10192faea4365fa098041b5d2b

8,358

py

Python

baseball.py

jason-sa/baseball_lin_regression

936535693f00b28d17b2b901144dcba8bce45ab9

[ "MIT" ]

null

baseball.py

jason-sa/baseball_lin_regression

936535693f00b28d17b2b901144dcba8bce45ab9

[ "MIT" ]

null

baseball.py

jason-sa/baseball_lin_regression

936535693f00b28d17b2b901144dcba8bce45ab9

[ "MIT" ]

null

import numpy as np import pandas as pd from bs4 import BeautifulSoup from selenium import webdriver from selenium.webdriver.common.keys import Keys import requests import time import os from selenium.webdriver.common.by import By import re import time from sklearn.linear_model import LinearRegression from sklearn.model_selection import train_test_split from sklearn.linear_model import RidgeCV from sklearn.linear_model import LassoCV from sklearn.pipeline import make_pipeline from sklearn.preprocessing import PolynomialFeatures from sklearn.model_selection import KFold from sklearn.preprocessing import StandardScaler from sklearn.linear_model import Ridge from sklearn.linear_model import Lasso from sklearn.model_selection import cross_val_score from sklearn.metrics import mean_squared_error import scipy.stats as stats PATH_RS = '/Users/jadams/ds/metis/baseball_lin_regression/data/processed_df/rookie_stats.csv' PATH_S = '/Users/jadams/ds/metis/baseball_lin_regression/data/processed_df/salary.csv' def count_awards(s): ''' Counts the numebr of awards from baseballreference.com where the awards are listed in CSV format s: CSV string of awards return: int (count of awards) ''' awards = 0 s = str(s) if len(s) > 0: awards = s.count(',')+1 return awards def get_player_data(html, year, name): ''' Parses a player page on baseballreference.com, builds and writes a data frame to the data directory. html: html scrapped from baseballreference.com year: rookie year of the player name: name of the player return: writes a data frame to data/ directory ''' soup_players = BeautifulSoup(html, 'lxml') # Get position position = soup_players.find('p') position = position.contents[2].strip() if position in 'Pitcher': return None # Get the debut for identification in case duplicate name debut = soup_players.find('a', {'href': re.compile('=debut')}) debut = debut.contents # Get batting stats batting = soup_players.find('table',{'id':'batting_standard'}) batting_tbl_list = pd.read_html(str(batting)) batting_df = batting_tbl_list[0] batting_df = batting_df[:-1] rookie_stats = batting_df[(batting_df.Year == str(year))] rookie_stats = rookie_stats[(~rookie_stats.Tm.str.contains('-min'))] rookie_stats = rookie_stats[rookie_stats.Tm != 'TOT'] columns = ['Year', 'Age', 'Tm', 'Lg', 'G', 'PA', 'AB', 'R','H', 'SB','BA','HR','TB','2B','3B','RBI','BB','SO','Awards'] rookie_stats = rookie_stats.loc[:, columns] rookie_stats = rookie_stats[rookie_stats.Lg.str.contains(r'[A,N]L$')] rookie_stats['position'] = position rookie_stats['name'] = name rookie_stats['debut'] = debut * rookie_stats.shape[0] rookie_stats.Year = rookie_stats.Year.astype(int) rookie_stats.debut = pd.to_datetime(rookie_stats.debut, format='%B %d, %Y') rookie_stats.loc[rookie_stats.Awards.isnull(),'Awards'] = '' rookie_stats['award_count'] = rookie_stats.Awards.apply(count_awards) with open(PATH_RS, 'a') as f: rookie_stats.to_csv(f, header=False) def build_rookie_table(rookie_pages): ''' Builds a master data set of all rookie players using the rookie summary page on baseballreference.com rookie_pages: pd.DataFrame containing [html, year] return: pd.DataFrame() ['Name','Debut','Age','Tm','rookie_year'] ''' rookie_df = pd.DataFrame(columns=['Name','Debut','Age','Tm','rookie_year']) rookie_dfs = [] for i in rookie_pages.year.values: # scrape the rookie batters (includes pitchers if PA) soup_pages = BeautifulSoup(rookie_pages.html[i], 'lxml') batting = soup_pages.find('table',{'id':'misc_batting'}) batting_df = pd.read_html(str(batting)) # add Name, Debut, Age, Tm, and rookie_year year_df = batting_df[0].loc[:,['Name','Debut','Age','Tm']] year_df['rookie_year'] = [i] * batting_df[0].shape[0] year_df.rookie_year = year_df.rookie_year.astype(int) rookie_dfs.append(year_df) #= rookie_df.append(year_df) # Combine the rookie_dfs rookie_df = pd.concat(rookie_dfs) # Strip HOF indicator from name rookie_df.Name = rookie_df.Name.str.replace('HOF','') rookie_df[rookie_df.Name.str.contains('HOF')] rookie_df.Name = rookie_df.Name.str.strip() # Make Debut a date time rookie_df.Debut = rookie_df.Debut.astype('datetime64') return rookie_df def get_player_salary(html, year, name, ind): ''' Parses a player's page on baseballrefernce.com and builds a data frame of their salary data html: player page from baseballreference.com year: rookie year name: player name ind: index to build a unique identfier return: appends to /data/salary.csv ''' salary_soup = BeautifulSoup(html, 'lxml') salary_html = salary_soup.find('table',{'id':'br-salaries'}) if salary_html is None: return None salary_tables_lst = pd.read_html(str(salary_html)) salary_df = salary_tables_lst[0] salary_df = salary_df[~salary_df.Year.isnull()] salary_df = salary_df[salary_df.Year.str.contains(r'[1-2]\d{3}$')] salary_df['name'] = [name] * salary_df.shape[0] salary_df['UID'] = [ind] * salary_df.shape[0] salary_df['rookie_year'] = [year] * salary_df.shape[0] salary_df.Salary = (salary_df.Salary .str.replace('$','') .str.replace(',','') .str.replace('*','') ) salary_df.loc[salary_df.Salary == '', 'Salary'] = np.nan salary_df.Salary = salary_df.Salary.astype(float) salary_df.Age = salary_df.Age.astype(float) if salary_df.SrvTm.dtype != 'float64': salary_df.loc[salary_df.SrvTm == '?','SrvTm'] = np.nan salary_df.SrvTm = salary_df.SrvTm.astype(float) if ind == 1: salary_df.to_csv(PATH_S) else: with open(PATH_S, 'a') as f: salary_df.to_csv(f, header=False) def run_models(X_train, y_train, name, results = None, cv=10, alphas=[10**a for a in range(-2,5)]): ''' Method to quickly run all models with different feature sets. Runs: OLS, Standard Scaler + LassoCV, and PolynomialFeatures + Standard Scaler + LassoCV X_train: training feature set y_train: training actuals name: name of the type of run (used for comparing different feature sets) results: data frame to hold the results if varying the feature set cv: number of n-fold cross validations alphas: range of alpha values for CV return: pd.DataFrame of the MSE results ''' # capture the results for the feature set model_results = pd.Series(name=name) # Perform 10-fold cross-validation linear regression model. lin_model = LinearRegression() scores = cross_val_score(lin_model, X_train, y_train, cv=cv, scoring='neg_mean_squared_error') model_results['linear model - cv10'] = np.mean(-scores) # Now perform a n-fold cross validation cv_lasso = make_pipeline(StandardScaler(), LassoCV(cv=cv, alphas=alphas, tol=0.001)) cv_lasso.fit(X_train, y_train) model_results['lasso cv - ' + str(cv_lasso.get_params()['lassocv'].alpha_)] = mean_mse_Lasso(cv_lasso, 'lassocv') # Now 2-5 degree polynomial features and perform a n-fold cross validation. for degrees in range(2,6): cv_lasso_poly = make_pipeline(PolynomialFeatures(degrees), StandardScaler(), LassoCV(cv=cv, alphas=alphas,tol=0.001)) cv_lasso_poly.fit(X_train, y_train) model_results['lasso poly ' + str(degrees) + ' cv - ' + str(cv_lasso_poly.get_params()['lassocv'].alpha_)] = mean_mse_Lasso(cv_lasso_poly, 'lassocv') if results is None: results = pd.DataFrame(model_results) else: results = pd.concat([results, pd.DataFrame(model_results)], axis=1, sort=True) return results def mean_mse_Lasso(model,name): ''' Calcualtes the MSE of an n-fold CV from LassoCV model model: sklearn model or pipeline name: name of the lassocv model return float64 (mean MSE) ''' mse = model.get_params()[name].mse_path_ alphas = model.get_params()[name].alphas_ mse_df = pd.DataFrame(data=mse, index=alphas) return mse_df.loc[model.get_params()[name].alpha_].mean()

37.3125

157

0.686169

import numpy as np import pandas as pd from bs4 import BeautifulSoup from selenium import webdriver from selenium.webdriver.common.keys import Keys import requests import time import os from selenium.webdriver.common.by import By import re import time from sklearn.linear_model import LinearRegression from sklearn.model_selection import train_test_split from sklearn.linear_model import RidgeCV from sklearn.linear_model import LassoCV from sklearn.pipeline import make_pipeline from sklearn.preprocessing import PolynomialFeatures from sklearn.model_selection import KFold from sklearn.preprocessing import StandardScaler from sklearn.linear_model import Ridge from sklearn.linear_model import Lasso from sklearn.model_selection import cross_val_score from sklearn.metrics import mean_squared_error import scipy.stats as stats PATH_RS = '/Users/jadams/ds/metis/baseball_lin_regression/data/processed_df/rookie_stats.csv' PATH_S = '/Users/jadams/ds/metis/baseball_lin_regression/data/processed_df/salary.csv' def count_awards(s): ''' Counts the numebr of awards from baseballreference.com where the awards are listed in CSV format s: CSV string of awards return: int (count of awards) ''' awards = 0 s = str(s) if len(s) > 0: awards = s.count(',')+1 return awards def get_player_data(html, year, name): ''' Parses a player page on baseballreference.com, builds and writes a data frame to the data directory. html: html scrapped from baseballreference.com year: rookie year of the player name: name of the player return: writes a data frame to data/ directory ''' soup_players = BeautifulSoup(html, 'lxml') # Get position position = soup_players.find('p') position = position.contents[2].strip() if position in 'Pitcher': return None # Get the debut for identification in case duplicate name debut = soup_players.find('a', {'href': re.compile('=debut')}) debut = debut.contents # Get batting stats batting = soup_players.find('table',{'id':'batting_standard'}) batting_tbl_list = pd.read_html(str(batting)) batting_df = batting_tbl_list[0] batting_df = batting_df[:-1] rookie_stats = batting_df[(batting_df.Year == str(year))] rookie_stats = rookie_stats[(~rookie_stats.Tm.str.contains('-min'))] rookie_stats = rookie_stats[rookie_stats.Tm != 'TOT'] columns = ['Year', 'Age', 'Tm', 'Lg', 'G', 'PA', 'AB', 'R','H', 'SB','BA','HR','TB','2B','3B','RBI','BB','SO','Awards'] rookie_stats = rookie_stats.loc[:, columns] rookie_stats = rookie_stats[rookie_stats.Lg.str.contains(r'[A,N]L$')] rookie_stats['position'] = position rookie_stats['name'] = name rookie_stats['debut'] = debut * rookie_stats.shape[0] rookie_stats.Year = rookie_stats.Year.astype(int) rookie_stats.debut = pd.to_datetime(rookie_stats.debut, format='%B %d, %Y') rookie_stats.loc[rookie_stats.Awards.isnull(),'Awards'] = '' rookie_stats['award_count'] = rookie_stats.Awards.apply(count_awards) with open(PATH_RS, 'a') as f: rookie_stats.to_csv(f, header=False) def build_rookie_table(rookie_pages): ''' Builds a master data set of all rookie players using the rookie summary page on baseballreference.com rookie_pages: pd.DataFrame containing [html, year] return: pd.DataFrame() ['Name','Debut','Age','Tm','rookie_year'] ''' rookie_df = pd.DataFrame(columns=['Name','Debut','Age','Tm','rookie_year']) rookie_dfs = [] for i in rookie_pages.year.values: # scrape the rookie batters (includes pitchers if PA) soup_pages = BeautifulSoup(rookie_pages.html[i], 'lxml') batting = soup_pages.find('table',{'id':'misc_batting'}) batting_df = pd.read_html(str(batting)) # add Name, Debut, Age, Tm, and rookie_year year_df = batting_df[0].loc[:,['Name','Debut','Age','Tm']] year_df['rookie_year'] = [i] * batting_df[0].shape[0] year_df.rookie_year = year_df.rookie_year.astype(int) rookie_dfs.append(year_df) #= rookie_df.append(year_df) # Combine the rookie_dfs rookie_df = pd.concat(rookie_dfs) # Strip HOF indicator from name rookie_df.Name = rookie_df.Name.str.replace('HOF','') rookie_df[rookie_df.Name.str.contains('HOF')] rookie_df.Name = rookie_df.Name.str.strip() # Make Debut a date time rookie_df.Debut = rookie_df.Debut.astype('datetime64') return rookie_df def get_player_salary(html, year, name, ind): ''' Parses a player's page on baseballrefernce.com and builds a data frame of their salary data html: player page from baseballreference.com year: rookie year name: player name ind: index to build a unique identfier return: appends to /data/salary.csv ''' salary_soup = BeautifulSoup(html, 'lxml') salary_html = salary_soup.find('table',{'id':'br-salaries'}) if salary_html is None: return None salary_tables_lst = pd.read_html(str(salary_html)) salary_df = salary_tables_lst[0] salary_df = salary_df[~salary_df.Year.isnull()] salary_df = salary_df[salary_df.Year.str.contains(r'[1-2]\d{3}$')] salary_df['name'] = [name] * salary_df.shape[0] salary_df['UID'] = [ind] * salary_df.shape[0] salary_df['rookie_year'] = [year] * salary_df.shape[0] salary_df.Salary = (salary_df.Salary .str.replace('$','') .str.replace(',','') .str.replace('*','') ) salary_df.loc[salary_df.Salary == '', 'Salary'] = np.nan salary_df.Salary = salary_df.Salary.astype(float) salary_df.Age = salary_df.Age.astype(float) if salary_df.SrvTm.dtype != 'float64': salary_df.loc[salary_df.SrvTm == '?','SrvTm'] = np.nan salary_df.SrvTm = salary_df.SrvTm.astype(float) if ind == 1: salary_df.to_csv(PATH_S) else: with open(PATH_S, 'a') as f: salary_df.to_csv(f, header=False) def run_models(X_train, y_train, name, results = None, cv=10, alphas=[10**a for a in range(-2,5)]): ''' Method to quickly run all models with different feature sets. Runs: OLS, Standard Scaler + LassoCV, and PolynomialFeatures + Standard Scaler + LassoCV X_train: training feature set y_train: training actuals name: name of the type of run (used for comparing different feature sets) results: data frame to hold the results if varying the feature set cv: number of n-fold cross validations alphas: range of alpha values for CV return: pd.DataFrame of the MSE results ''' # capture the results for the feature set model_results = pd.Series(name=name) # Perform 10-fold cross-validation linear regression model. lin_model = LinearRegression() scores = cross_val_score(lin_model, X_train, y_train, cv=cv, scoring='neg_mean_squared_error') model_results['linear model - cv10'] = np.mean(-scores) # Now perform a n-fold cross validation cv_lasso = make_pipeline(StandardScaler(), LassoCV(cv=cv, alphas=alphas, tol=0.001)) cv_lasso.fit(X_train, y_train) model_results['lasso cv - ' + str(cv_lasso.get_params()['lassocv'].alpha_)] = mean_mse_Lasso(cv_lasso, 'lassocv') # Now 2-5 degree polynomial features and perform a n-fold cross validation. for degrees in range(2,6): cv_lasso_poly = make_pipeline(PolynomialFeatures(degrees), StandardScaler(), LassoCV(cv=cv, alphas=alphas,tol=0.001)) cv_lasso_poly.fit(X_train, y_train) model_results['lasso poly ' + str(degrees) + ' cv - ' + str(cv_lasso_poly.get_params()['lassocv'].alpha_)] = mean_mse_Lasso(cv_lasso_poly, 'lassocv') if results is None: results = pd.DataFrame(model_results) else: results = pd.concat([results, pd.DataFrame(model_results)], axis=1, sort=True) return results def mean_mse_Lasso(model,name): ''' Calcualtes the MSE of an n-fold CV from LassoCV model model: sklearn model or pipeline name: name of the lassocv model return float64 (mean MSE) ''' mse = model.get_params()[name].mse_path_ alphas = model.get_params()[name].alphas_ mse_df = pd.DataFrame(data=mse, index=alphas) return mse_df.loc[model.get_params()[name].alpha_].mean()

0

9fd68fa00d2ede88bbdff5ff4167ef2f9ac066c1

4,387

py

Python

utils/feature_desc.py

Hzfinfdu/DataLab

0da0226866f59ed2e535c346833f0797499b5174

[ "Apache-2.0" ]

null

utils/feature_desc.py

Hzfinfdu/DataLab

0da0226866f59ed2e535c346833f0797499b5174

[ "Apache-2.0" ]

null

utils/feature_desc.py

Hzfinfdu/DataLab

0da0226866f59ed2e535c346833f0797499b5174

[ "Apache-2.0" ]

null

import sys feature_map_basic = { "avg_length":"the average length", "avg_basic_words":"the ratio of basic words (pre-defied by a dictionary)", "avg_lexical_richness":"the lexical diversity", "avg_gender_bias_word_male":"the average ratio of male words", "avg_gender_bias_word_female":"the average ratio of female words", "avg_gender_bias_single_name_male":"the average ratio of male names", "avg_gender_bias_single_name_female":"the average ratio of female names", "avg_gender_bias_name_male":"the average ratio of male names", "avg_gender_bias_name_female": "the average ratio of female names", "avg_span_length_of_ner_tags": "the average of entity length", "avg_eCon_of_ner_tags": "the average of entity's label consistency (defined in the paper: Interpretable Multi-dataset Evaluation for Named Entity Recognition)", "avg_eFre_of_ner_tags":"the average of entity frequency", "avg_density":"the average density (measures to what extent a summary covers the content in the source text)", "avg_coverage":"the average of coverage (measures to what extent a summary covers the content in the source text)", "avg_compression": "the average of compression (measures the compression ratio from the source text to the generated summary)", "avg_repetition": "the average of repetition (measures the rate of repeated segments in summaries. The segments are instantiated as trigrams)", "avg_novelty": "the average of novelty (the proportion of segments in the summaries that have not appeared in source documents. The segments are instantiated as bigrams)", "avg_copy_length": "the average of copy_length (the average length of segments in summary copied from source document)", } feature_map_basic2 = {"divide":"fraction", "minus":"difference", "add":"addition",} # Usage & Test Cases: # feature_name = "background_train_avg_gender_bias_single_name_male" # feature_name = "bleu_question_situation_avg_test" # feature_name = "question_length_divide_situation_avg_validation_length" # feature_name = "avg_span_length_of_ner_tags_test" # feature_name = "avg_eCon_of_ner_tags_validation" # feature_name = "avg_compression_of_test_highlights_and_article" # feature_name = "avg_copy_length_of_test_highlights_and_article" # feature_name = "premise_length_add_hypothesis_avg_validation_length" # feature_name = "premise_length_divide_hypothesis_avg_train_length" # feature_name = "bleu_question_context_avg_train" # feature_name = "question_length_divide_context_avg_validation_length" # # print(get_feature_description(feature_name))

49.292135

175

0.714611

import sys feature_map_basic = { "avg_length":"the average length", "avg_basic_words":"the ratio of basic words (pre-defied by a dictionary)", "avg_lexical_richness":"the lexical diversity", "avg_gender_bias_word_male":"the average ratio of male words", "avg_gender_bias_word_female":"the average ratio of female words", "avg_gender_bias_single_name_male":"the average ratio of male names", "avg_gender_bias_single_name_female":"the average ratio of female names", "avg_gender_bias_name_male":"the average ratio of male names", "avg_gender_bias_name_female": "the average ratio of female names", "avg_span_length_of_ner_tags": "the average of entity length", "avg_eCon_of_ner_tags": "the average of entity's label consistency (defined in the paper: Interpretable Multi-dataset Evaluation for Named Entity Recognition)", "avg_eFre_of_ner_tags":"the average of entity frequency", "avg_density":"the average density (measures to what extent a summary covers the content in the source text)", "avg_coverage":"the average of coverage (measures to what extent a summary covers the content in the source text)", "avg_compression": "the average of compression (measures the compression ratio from the source text to the generated summary)", "avg_repetition": "the average of repetition (measures the rate of repeated segments in summaries. The segments are instantiated as trigrams)", "avg_novelty": "the average of novelty (the proportion of segments in the summaries that have not appeared in source documents. The segments are instantiated as bigrams)", "avg_copy_length": "the average of copy_length (the average length of segments in summary copied from source document)", } feature_map_basic2 = {"divide":"fraction", "minus":"difference", "add":"addition",} def get_feature_description(feature_name:str): desc = "" if ("avg_" + feature_name.split("avg_")[-1]) in feature_map_basic.keys(): raw_feature_name = feature_name.split("_")[0] split_name = feature_name.split("_")[1] desc = feature_map_basic["avg_" + feature_name.split("avg_")[-1]] desc = desc + " of " + raw_feature_name + " in " + split_name + " set" elif feature_name.split("_")[0] == "bleu": raw_feature_name1 = feature_name.split("_")[1] raw_feature_name2 = feature_name.split("_")[2] split_name = feature_name.split("_")[-1] desc = "the similarity score (using BLEU) between `" + raw_feature_name1 + "` and `" + raw_feature_name2 + "` in " + split_name + " set" elif feature_name.split("_")[2] in feature_map_basic2.keys(): operation_name = feature_map_basic2[feature_name.split("_")[2]] raw_feature_name1 = feature_name.split("_")[0] raw_feature_name2 = feature_name.split("_")[3] split_name = feature_name.split("_")[-2] desc = "the length " + operation_name + " between `" + raw_feature_name1 + "` and `" + raw_feature_name2 + "` in " + split_name + " set" elif "_".join(feature_name.split("_")[0:-1]) in feature_map_basic.keys(): split_name = feature_name.split("_")[-1] desc = feature_map_basic["_".join(feature_name.split("_")[0:-1])] desc = desc + " in " + split_name + " set" elif feature_name.split("_of")[0] in feature_map_basic.keys(): split_name = feature_name.split("_of")[-1].split("_")[1] desc = feature_map_basic[feature_name.split("_of")[0]] + " of " + split_name + " set" if desc == "": desc = feature_name return desc # Usage & Test Cases: # feature_name = "background_train_avg_gender_bias_single_name_male" # feature_name = "bleu_question_situation_avg_test" # feature_name = "question_length_divide_situation_avg_validation_length" # feature_name = "avg_span_length_of_ner_tags_test" # feature_name = "avg_eCon_of_ner_tags_validation" # feature_name = "avg_compression_of_test_highlights_and_article" # feature_name = "avg_copy_length_of_test_highlights_and_article" # feature_name = "premise_length_add_hypothesis_avg_validation_length" # feature_name = "premise_length_divide_hypothesis_avg_train_length" # feature_name = "bleu_question_context_avg_train" # feature_name = "question_length_divide_context_avg_validation_length" # # print(get_feature_description(feature_name))

1,717

0

23

043864d58961f211e064016975098e833c2fe172

317

py

Python

api/src/wt/fields/links/_model.py

sedlar/work-tracking

78917ff8200829eb674142ce43b503d8e892d7eb

[ "BSD-2-Clause" ]

null

api/src/wt/fields/links/_model.py

sedlar/work-tracking

78917ff8200829eb674142ce43b503d8e892d7eb

[ "BSD-2-Clause" ]

null

api/src/wt/fields/links/_model.py

sedlar/work-tracking

78917ff8200829eb674142ce43b503d8e892d7eb

[ "BSD-2-Clause" ]

null

from typing import List from wt.ids import BaseId from wt.fields.links._obj import Link

24.384615

69

0.731861

from typing import List from wt.ids import BaseId from wt.fields.links._obj import Link class LinksModel: def set_entity_links(self, entity_id: BaseId, links: List[Link]): raise NotImplementedError() def get_entity_links(self, entity_id: BaseId) -> List[Link]: raise NotImplementedError()

155

-4

76

f533df67d3a04bbd440edb67989f011161b292e5

584

py

Python

filedemo.py

evertmulder/Aan-de-slag-met-Python

414bc12e5bca56d99ffedc46ada81bd44bc75ac5

[ "MIT" ]

null

filedemo.py

evertmulder/Aan-de-slag-met-Python

414bc12e5bca56d99ffedc46ada81bd44bc75ac5

[ "MIT" ]

null

filedemo.py

evertmulder/Aan-de-slag-met-Python

414bc12e5bca56d99ffedc46ada81bd44bc75ac5

[ "MIT" ]

null

fileName = 'test.txt' linebreak = '\n' items = [['a,99,22'], ['b,34,dd'], ['c,5,21']] writeItemsToFile(items) items = getItemsFromFile() print(items)

18.83871

57

0.642123

fileName = 'test.txt' linebreak = '\n' def getItemsFromFile(): try: file = open(fileName,"r") except: return [] listOfItems = [] for item in file: listOfItems.append(item.strip(linebreak).split(', ')) file.close() return listOfItems def writeItemsToFile(listOfItems): try: file = open(fileName,"w") except: return False for item in listOfItems: file.write((', '.join(map(str, item))) + linebreak) file.close() return True items = [['a,99,22'], ['b,34,dd'], ['c,5,21']] writeItemsToFile(items) items = getItemsFromFile() print(items)

387

0

46

20fa375c6b7669cc69f05dbc68d39a9201f664f4

2,045

py

Python

Python3/450.py

rakhi2001/ecom7

73790d44605fbd51e8f7e804b9808e364fcfc680

[ "MIT" ]

854

2018-11-09T08:06:16.000Z

2022-03-31T06:05:53.000Z

Python3/450.py

rakhi2001/ecom7

73790d44605fbd51e8f7e804b9808e364fcfc680

[ "MIT" ]

29

2019-06-02T05:02:25.000Z

2021-11-15T04:09:37.000Z

Python3/450.py

rakhi2001/ecom7

73790d44605fbd51e8f7e804b9808e364fcfc680

[ "MIT" ]

347

2018-12-23T01:57:37.000Z

2022-03-12T14:51:21.000Z

__________________________________________________________________________________________________ sample 56 ms submission # Definition for a binary tree node. # class TreeNode: # def __init__(self, x): # self.val = x # self.left = None # self.right = None __________________________________________________________________________________________________ sample 17372 kb submission # Definition for a binary tree node. # class TreeNode: # def __init__(self, x): # self.val = x # self.left = None # self.right = None __________________________________________________________________________________________________

32.460317

98

0.577995

__________________________________________________________________________________________________ sample 56 ms submission # Definition for a binary tree node. # class TreeNode: # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution: def deleteNode(self, root: TreeNode, key: int) -> TreeNode: # always check for null if not root: return # find key using binary search if key < root.val: root.left = self.deleteNode(root.left, key) elif key > root.val: root.right = self.deleteNode(root.right, key) else: # at this point, we are at the root if not root.left: return root.right else: temp = root.left while temp.right: temp = temp.right root.val = temp.val root.left = self.deleteNode(root.left, temp.val) return root __________________________________________________________________________________________________ sample 17372 kb submission # Definition for a binary tree node. # class TreeNode: # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution: def deleteNode(self, root: TreeNode, key: int) -> TreeNode: if root is None: return None if root.val == key: if root.right is not None: cur = root.right; while cur.left is not None: cur = cur.left cur.left = root.left return root.right else: return root.left elif root.val < key: root.right = self.deleteNode(root.right, key) else: root.left = self.deleteNode(root.left, key) return root __________________________________________________________________________________________________

1,287

-12

98

e1782d29f219364bea2d656d4bc1f58100d7018c

5,689

py

Python

IEX_29id/devices/slits.py

ravescovi/macros_29id

c569d4af29644f622a882162b2aa1ca03fb5454c

[ "MIT" ]

null

IEX_29id/devices/slits.py

ravescovi/macros_29id

c569d4af29644f622a882162b2aa1ca03fb5454c

[ "MIT" ]

null

IEX_29id/devices/slits.py

ravescovi/macros_29id

c569d4af29644f622a882162b2aa1ca03fb5454c

[ "MIT" ]

1

2021-09-20T21:26:26.000Z

from epics import caput, caget from math import inf, nan from IEX_29id.utils.exp import CheckBranch from IEX_29id.utils.misc import read_dict from bluesky import plan_stubs as bps import logging from ophyd import EpicsMotor, EpicsSignal, PVPositionerPC, EpicsSignalRO, Signal from ophyd import Component, Device from apstools.devices import EpicsDescriptionMixin # busy_record = Component(EpicsSignalRO, "29idKappa:Kappa_busy", done_value=0,kind='omitted') ## Instantiate pseudo motors slits = _My4Slits("29idb:Slit",name="motors") #--------------------------- Old Functions ----------------------------# # def slit(val): # """ # Sets the exit slits: # ARPES = 0 < x < 300 um # Kappa = 0 < x < 1000 um # """ # SetExitSlit(val) # def SetSlit1A(Hsize,Vsize,Hcenter,Vcenter,q=None): # """move slits 1A: Hsize x Vsize centered at (Hcenter,Vcenter)""" # caput("29idb:Slit1Hsync.PROC",1) # make sure slits are in sink with real motors # caput("29idb:Slit1Vsync.PROC",1) # caput("29idb:Slit1Hsize.VAL", Hsize) # caput("29idb:Slit1Vsize.VAL", Vsize) # caput("29idb:Slit1Hcenter.VAL",Hcenter) # caput("29idb:Slit1Vcenter.VAL",Vcenter) # if not q: # print("Slit-1A = ("+str(round(Hsize,3))+"x"+str(round(Vsize,3))+") @ ("+str(Hcenter)+","+str(Vcenter)+")") # def SetSlit2B(Hsize,Vsize,Hcenter,Vcenter,q=None): # caput("29idb:Slit2Hsync.PROC",1) # caput("29idb:Slit2Vsync.PROC",1) # caput("29idb:Slit2Hsize.VAL", Hsize) # caput("29idb:Slit2Vsize.VAL", Vsize) # caput("29idb:Slit2Hcenter.VAL",Hcenter) # caput("29idb:Slit2Vcenter.VAL",Vcenter) # if not q: # print("Slit-2B = ("+str(Hsize)+"x"+str(Vsize)+") @ ("+str(Hcenter)+","+str(Vcenter)+")") # def SetSlit3C(size): # caput("29idb:Slit3CFit.A",size) # print("Slit-3C =",size,"um") # def SetSlit3D(size,position=None): # if position == None: # position=round(caget('29idb:Slit4Vt2.D'),2) # caput("29idb:Slit4Vcenter.VAL") # caput("29idb:Slit4Vsize.VAL",size,wait=True,timeout=18000) # print("Slit-3D =",size,"um") # def SetSlit_BL(c2B=1,c1A=1,q=None): # RBV=caget("29idmono:ENERGY_MON") # GRT=caget("29idmono:GRT_DENSITY") # hv=max(RBV,500) # hv=min(RBV,2000) # c=4.2/2.2 # if GRT==1200: # GRT='MEG' # V=0.65 # set to 65% of RR calculation for both grt => cf 2016_2_summary # elif GRT==2400: # GRT='HEG' # V=0.65*c # set to 65% of RR calculation (no longer 80%) => cf 2016_2_summary # try: # slit_position=read_dict(FileName='Dict_Slit.txt') # except KeyError: # print("Unable to read dictionary") # return # V2center= slit_position[GRT]['S2V'] # H2center= slit_position[GRT]['S2H'] # V1center= slit_position[GRT]['S1V'] # H1center= slit_position[GRT]['S1H'] # Size1A=( Aperture_Fit(hv,1)[0]*c1A, Aperture_Fit(hv,1)[1]*c1A ) # Size2B=( Aperture_Fit(hv,2)[0]*c2B, round(Aperture_Fit(hv,2)[1]*c2B*V,3)) # SetSlit1A (Size1A[0],Size1A[1],H1center,V1center,q) # standard operating # SetSlit2B(Size2B[0],Size2B[1],H2center,V2center,q) # def SetExitSlit(size): # branch=CheckBranch() # if branch == "c": # SetSlit3C(size) # elif branch == "d": # SetSlit3D(size) # def Slit3C_Fit(size): # K0=-36.383 # K1=0.16473 # K2=-0.00070276 # K3=8.4346e-06 # K4=-5.6215e-08 # K5=1.8223e-10 # K6=-2.2635e-13 # motor=K0+K1*size+K2*size**2+K3*size**3+K4*size**4+K5*size**5+K6*size**6 # return motor # def Slit_Coef(n): # if n == 1: # pv='29id:k_slit1A' # #Redshifted x (H): # H0=2.3325 # H1=-.000936 # H2=2.4e-7 # #Redshifted z (V): # V0=2.3935 # V1=-.0013442 # V2=3.18e-7 # if n == 2: # pv='29id:k_slit2B' # #Redshifted x (H): # H0=3.61 # H1=-0.00186 # H2=5.2e-7 # #Redshifted z (V): # V0=6.8075 # V1=-0.003929 # V2=9.5e-7 # K=H0,H1,H2,V0,V1,V2 # return pv,K # def Aperture_Fit(hv,n): # K=Slit_Coef(n)[1] # sizeH=K[0]+K[1]*hv+K[2]*hv*hv # sizeV=K[3]+K[4]*hv+K[5]*hv*hv # return [round(sizeH,3),round(sizeV,3)] # # SetSlits: # def SetSlit(n,Hsize=None,Vsize=None,Hcenter=0,Vcenter=0,q=None): # if n == 1: # if Hsize in [inf,nan,None]: Hsize=4.5 # if Vsize in [inf,nan,None]: Vsize=4.5 # SetSlit1A(Hsize,Vsize,Hcenter,Vcenter,q=None) # elif n == 2: # if Hsize in [inf,nan,None]: Hsize=6 # if Vsize in [inf,nan,None]: Vsize=8 # SetSlit2B(Hsize,Vsize,Hcenter,Vcenter,q=None) # else: # print('Not a valid slit number')

29.942105

120

0.587449

from epics import caput, caget from math import inf, nan from IEX_29id.utils.exp import CheckBranch from IEX_29id.utils.misc import read_dict from bluesky import plan_stubs as bps import logging from ophyd import EpicsMotor, EpicsSignal, PVPositionerPC, EpicsSignalRO, Signal from ophyd import Component, Device from apstools.devices import EpicsDescriptionMixin class _SoftSlitH(PVPositionerPC): setpoint = Component(EpicsSignal, "Hsize.VAL") # 29idb:Slit1Hsize.VAL => setpoint readback = Component(EpicsSignalRO, "Ht2.C") # 29idb:Slit1t2.C => readback sync = Component(EpicsSignal,"Hsync.PROC") # RO means ReadOnly, those are PV that we cannot write to class _SoftSlitV(PVPositionerPC): setpoint = Component(EpicsSignal, "Vsize.VAL") # 29idb:SlitVsize.VAL => setpoint readback = Component(EpicsSignalRO, "Vt2.D") # 29idb:Slit1t2.D => readback sync = Component(EpicsSignal,"Vsync.PROC") # RO means ReadOnly, those are PV that we cannot write to class _My4Slits(Device): h1 = Component(_SoftSlitH, "1") v1 = Component(_SoftSlitV, "1") h2 = Component(_SoftSlitH, "2") v2 = Component(_SoftSlitV, "2") # busy_record = Component(EpicsSignalRO, "29idKappa:Kappa_busy", done_value=0,kind='omitted') ## Instantiate pseudo motors slits = _My4Slits("29idb:Slit",name="motors") #--------------------------- Old Functions ----------------------------# # def slit(val): # """ # Sets the exit slits: # ARPES = 0 < x < 300 um # Kappa = 0 < x < 1000 um # """ # SetExitSlit(val) # def SetSlit1A(Hsize,Vsize,Hcenter,Vcenter,q=None): # """move slits 1A: Hsize x Vsize centered at (Hcenter,Vcenter)""" # caput("29idb:Slit1Hsync.PROC",1) # make sure slits are in sink with real motors # caput("29idb:Slit1Vsync.PROC",1) # caput("29idb:Slit1Hsize.VAL", Hsize) # caput("29idb:Slit1Vsize.VAL", Vsize) # caput("29idb:Slit1Hcenter.VAL",Hcenter) # caput("29idb:Slit1Vcenter.VAL",Vcenter) # if not q: # print("Slit-1A = ("+str(round(Hsize,3))+"x"+str(round(Vsize,3))+") @ ("+str(Hcenter)+","+str(Vcenter)+")") # def SetSlit2B(Hsize,Vsize,Hcenter,Vcenter,q=None): # caput("29idb:Slit2Hsync.PROC",1) # caput("29idb:Slit2Vsync.PROC",1) # caput("29idb:Slit2Hsize.VAL", Hsize) # caput("29idb:Slit2Vsize.VAL", Vsize) # caput("29idb:Slit2Hcenter.VAL",Hcenter) # caput("29idb:Slit2Vcenter.VAL",Vcenter) # if not q: # print("Slit-2B = ("+str(Hsize)+"x"+str(Vsize)+") @ ("+str(Hcenter)+","+str(Vcenter)+")") # def SetSlit3C(size): # caput("29idb:Slit3CFit.A",size) # print("Slit-3C =",size,"um") # def SetSlit3D(size,position=None): # if position == None: # position=round(caget('29idb:Slit4Vt2.D'),2) # caput("29idb:Slit4Vcenter.VAL") # caput("29idb:Slit4Vsize.VAL",size,wait=True,timeout=18000) # print("Slit-3D =",size,"um") # def SetSlit_BL(c2B=1,c1A=1,q=None): # RBV=caget("29idmono:ENERGY_MON") # GRT=caget("29idmono:GRT_DENSITY") # hv=max(RBV,500) # hv=min(RBV,2000) # c=4.2/2.2 # if GRT==1200: # GRT='MEG' # V=0.65 # set to 65% of RR calculation for both grt => cf 2016_2_summary # elif GRT==2400: # GRT='HEG' # V=0.65*c # set to 65% of RR calculation (no longer 80%) => cf 2016_2_summary # try: # slit_position=read_dict(FileName='Dict_Slit.txt') # except KeyError: # print("Unable to read dictionary") # return # V2center= slit_position[GRT]['S2V'] # H2center= slit_position[GRT]['S2H'] # V1center= slit_position[GRT]['S1V'] # H1center= slit_position[GRT]['S1H'] # Size1A=( Aperture_Fit(hv,1)[0]*c1A, Aperture_Fit(hv,1)[1]*c1A ) # Size2B=( Aperture_Fit(hv,2)[0]*c2B, round(Aperture_Fit(hv,2)[1]*c2B*V,3)) # SetSlit1A (Size1A[0],Size1A[1],H1center,V1center,q) # standard operating # SetSlit2B(Size2B[0],Size2B[1],H2center,V2center,q) # def SetExitSlit(size): # branch=CheckBranch() # if branch == "c": # SetSlit3C(size) # elif branch == "d": # SetSlit3D(size) # def Slit3C_Fit(size): # K0=-36.383 # K1=0.16473 # K2=-0.00070276 # K3=8.4346e-06 # K4=-5.6215e-08 # K5=1.8223e-10 # K6=-2.2635e-13 # motor=K0+K1*size+K2*size**2+K3*size**3+K4*size**4+K5*size**5+K6*size**6 # return motor # def Slit_Coef(n): # if n == 1: # pv='29id:k_slit1A' # #Redshifted x (H): # H0=2.3325 # H1=-.000936 # H2=2.4e-7 # #Redshifted z (V): # V0=2.3935 # V1=-.0013442 # V2=3.18e-7 # if n == 2: # pv='29id:k_slit2B' # #Redshifted x (H): # H0=3.61 # H1=-0.00186 # H2=5.2e-7 # #Redshifted z (V): # V0=6.8075 # V1=-0.003929 # V2=9.5e-7 # K=H0,H1,H2,V0,V1,V2 # return pv,K # def Aperture_Fit(hv,n): # K=Slit_Coef(n)[1] # sizeH=K[0]+K[1]*hv+K[2]*hv*hv # sizeV=K[3]+K[4]*hv+K[5]*hv*hv # return [round(sizeH,3),round(sizeV,3)] # # SetSlits: # def SetSlit(n,Hsize=None,Vsize=None,Hcenter=0,Vcenter=0,q=None): # if n == 1: # if Hsize in [inf,nan,None]: Hsize=4.5 # if Vsize in [inf,nan,None]: Vsize=4.5 # SetSlit1A(Hsize,Vsize,Hcenter,Vcenter,q=None) # elif n == 2: # if Hsize in [inf,nan,None]: Hsize=6 # if Vsize in [inf,nan,None]: Vsize=8 # SetSlit2B(Hsize,Vsize,Hcenter,Vcenter,q=None) # else: # print('Not a valid slit number')

0

817

69

3a37727f98514ee7c9bc433d59a81158bc9871f0

2,292

py

Python

tests/getnet/services/customers/test_integration.py

rafagonc/getnet-py

d2a5278b497408b5245d5d0fecd2e424f4ddb0d5

[ "MIT" ]

null

tests/getnet/services/customers/test_integration.py

rafagonc/getnet-py

d2a5278b497408b5245d5d0fecd2e424f4ddb0d5

[ "MIT" ]

null

tests/getnet/services/customers/test_integration.py

rafagonc/getnet-py

d2a5278b497408b5245d5d0fecd2e424f4ddb0d5

[ "MIT" ]

null

import os import unittest from vcr_unittest import VCRTestCase import getnet from getnet import NotFound from getnet.services.base import ResponseList from getnet.services.customers import Service, Customer from tests.getnet.services.customers.test_customer import sample if __name__ == "__main__": unittest.main()

32.742857

76

0.687609

import os import unittest from vcr_unittest import VCRTestCase import getnet from getnet import NotFound from getnet.services.base import ResponseList from getnet.services.customers import Service, Customer from tests.getnet.services.customers.test_customer import sample class CustomersIntegrationTest(VCRTestCase): def setUp(self) -> None: super(CustomersIntegrationTest, self).setUp() self.client = getnet.Client( os.environ.get("GETNET_SELLER_ID"), os.environ.get("GETNET_CLIENT_ID"), os.environ.get("GETNET_CLIENT_SECRET"), getnet.api.HOMOLOG, ) self.service = Service(self.client) def testCreate(self): data = sample.copy() data["document_number"] = "01234567888" customer = self.service.create(Customer(**data)) self.assertIsInstance(customer, Customer) self.assertEqual(data.get("customer_id"), customer.customer_id) def testInvalidCreate(self): with self.assertRaises(getnet.BadRequest) as err: self.service.create(Customer(**sample)) self.assertEqual("Bad Request", err.exception.error_code) def testGet(self): data = sample.copy() data["customer_id"] = "test_integration_get" data["document_number"] = "01234567811" created_customer = self.service.create(Customer(**data)) customer = self.service.get(created_customer.customer_id) self.assertIsInstance(customer, Customer) self.assertEqual(created_customer, customer) self.assertEqual(created_customer.customer_id, customer.customer_id) def testInvalidGet(self): with self.assertRaises(NotFound) as err: self.service.get("14a2ce5d-ebc3-49dc-a516-cb5239b02285") self.assertEqual("Not Found", err.exception.error_code) def testAll(self): customers = self.service.all() self.assertIsInstance(customers, ResponseList) self.assertEqual(1, customers.page) self.assertEqual(100, customers.limit) self.assertIsNotNone(customers.total) def testAllNotFound(self): cards = self.service.all(document_number="01234567855") self.assertEqual(0, cards.total) if __name__ == "__main__": unittest.main()

1,734

23

211

c197af5016a465d3ef80877ff635bb66841b6040

116

py

Python

src/Metrics/tobetested/memory_total.py

coolmay/hpcpack-acm

8c367148e8e9655a497b9589e9d1050faba02382

[ "MIT" ]

null

src/Metrics/tobetested/memory_total.py

coolmay/hpcpack-acm

8c367148e8e9655a497b9589e9d1050faba02382

[ "MIT" ]

null

src/Metrics/tobetested/memory_total.py

coolmay/hpcpack-acm

8c367148e8e9655a497b9589e9d1050faba02382

[ "MIT" ]

null

import psutil import json mem = psutil.virtual_memory() result = { "_Total": mem.total } print(json.dumps(result))

16.571429

32

0.732759

import psutil import json mem = psutil.virtual_memory() result = { "_Total": mem.total } print(json.dumps(result))

0

5d843f8c623b2cc6623f676f601598f6e245f5fa

3,962

py

Python

pixelsort/interval.py

HexCodeFFF/pixelsort

2b90d8e1cc937a332cea5b0a59c690e986d58e82

[ "MIT" ]

null

pixelsort/interval.py

HexCodeFFF/pixelsort

2b90d8e1cc937a332cea5b0a59c690e986d58e82

[ "MIT" ]

null

pixelsort/interval.py

HexCodeFFF/pixelsort

2b90d8e1cc937a332cea5b0a59c690e986d58e82

[ "MIT" ]

null

import typing from random import randint, random as random_range from PIL import ImageFilter, Image from pixelsort.sorting import lightness def edge(image: Image.Image, lower_threshold: float, **_) -> typing.List[typing.List[int]]: """Performs an edge detection, which is used to define intervals. Tweak threshold with threshold.""" edge_data = image.filter(ImageFilter.FIND_EDGES).convert('RGBA').load() intervals = [] for y in range(image.size[1]): intervals.append([]) flag = True for x in range(image.size[0]): if lightness(edge_data[x, y]) < lower_threshold * 255: flag = True elif flag: intervals[y].append(x) flag = False return intervals def threshold(image: Image.Image, lower_threshold: float, upper_threshold: float, **_) -> typing.List[typing.List[int]]: """Intervals defined by lightness thresholds; only pixels with a lightness between the upper and lower thresholds are sorted.""" intervals = [] image_data = image.load() for y in range(image.size[1]): intervals.append([]) for x in range(image.size[0]): level = lightness(image_data[x, y]) if level < lower_threshold * 255 or level > upper_threshold * 255: intervals[y].append(x) return intervals def random(image, char_length, **_) -> typing.List[typing.List[int]]: """Randomly generate intervals. Distribution of widths is linear by default. Interval widths can be scaled using char_length.""" intervals = [] for y in range(image.size[1]): intervals.append([]) x = 0 while True: x += int(char_length * random_range()) if x > image.size[0]: break else: intervals[y].append(x) return intervals def waves(image, char_length, **_) -> typing.List[typing.List[int]]: """Intervals are waves of nearly uniform widths. Control width of waves with char_length.""" intervals = [] for y in range(image.size[1]): intervals.append([]) x = 0 while True: x += char_length + randint(0, 10) if x > image.size[0]: break else: intervals[y].append(x) return intervals def file_mask(image, interval_image, **_) -> typing.List[typing.List[int]]: """Intervals taken from another specified input image. Must be black and white, and the same size as the input image.""" intervals = [] data = interval_image.load() for y in range(image.size[1]): intervals.append([]) flag = True for x in range(image.size[0]): if data[x, y]: flag = True elif flag: intervals[y].append(x) flag = False return intervals def file_edges(image, interval_image, lower_threshold, **_) -> typing.List[typing.List[int]]: """Intervals defined by performing edge detection on the file specified by -f. Must be the same size as the input image.""" edge_data = interval_image.filter( ImageFilter.FIND_EDGES).convert('RGBA').load() intervals = [] for y in range(image.size[1]): intervals.append([]) flag = True for x in range(image.size[0]): if lightness(edge_data[x, y]) < lower_threshold * 255: flag = True elif flag: intervals[y].append(x) flag = False return intervals def none(image, **_) -> typing.List[typing.List[int]]: """Sort whole rows, only stopping at image borders.""" intervals = [] for y in range(image.size[1]): intervals.append([]) return intervals choices = { "random": random, "threshold": threshold, "edges": edge, "waves": waves, "file": file_mask, "file-edges": file_edges, "none": none }

31.19685

120

0.595154

import typing from random import randint, random as random_range from PIL import ImageFilter, Image from pixelsort.sorting import lightness def edge(image: Image.Image, lower_threshold: float, **_) -> typing.List[typing.List[int]]: """Performs an edge detection, which is used to define intervals. Tweak threshold with threshold.""" edge_data = image.filter(ImageFilter.FIND_EDGES).convert('RGBA').load() intervals = [] for y in range(image.size[1]): intervals.append([]) flag = True for x in range(image.size[0]): if lightness(edge_data[x, y]) < lower_threshold * 255: flag = True elif flag: intervals[y].append(x) flag = False return intervals def threshold(image: Image.Image, lower_threshold: float, upper_threshold: float, **_) -> typing.List[typing.List[int]]: """Intervals defined by lightness thresholds; only pixels with a lightness between the upper and lower thresholds are sorted.""" intervals = [] image_data = image.load() for y in range(image.size[1]): intervals.append([]) for x in range(image.size[0]): level = lightness(image_data[x, y]) if level < lower_threshold * 255 or level > upper_threshold * 255: intervals[y].append(x) return intervals def random(image, char_length, **_) -> typing.List[typing.List[int]]: """Randomly generate intervals. Distribution of widths is linear by default. Interval widths can be scaled using char_length.""" intervals = [] for y in range(image.size[1]): intervals.append([]) x = 0 while True: x += int(char_length * random_range()) if x > image.size[0]: break else: intervals[y].append(x) return intervals def waves(image, char_length, **_) -> typing.List[typing.List[int]]: """Intervals are waves of nearly uniform widths. Control width of waves with char_length.""" intervals = [] for y in range(image.size[1]): intervals.append([]) x = 0 while True: x += char_length + randint(0, 10) if x > image.size[0]: break else: intervals[y].append(x) return intervals def file_mask(image, interval_image, **_) -> typing.List[typing.List[int]]: """Intervals taken from another specified input image. Must be black and white, and the same size as the input image.""" intervals = [] data = interval_image.load() for y in range(image.size[1]): intervals.append([]) flag = True for x in range(image.size[0]): if data[x, y]: flag = True elif flag: intervals[y].append(x) flag = False return intervals def file_edges(image, interval_image, lower_threshold, **_) -> typing.List[typing.List[int]]: """Intervals defined by performing edge detection on the file specified by -f. Must be the same size as the input image.""" edge_data = interval_image.filter( ImageFilter.FIND_EDGES).convert('RGBA').load() intervals = [] for y in range(image.size[1]): intervals.append([]) flag = True for x in range(image.size[0]): if lightness(edge_data[x, y]) < lower_threshold * 255: flag = True elif flag: intervals[y].append(x) flag = False return intervals def none(image, **_) -> typing.List[typing.List[int]]: """Sort whole rows, only stopping at image borders.""" intervals = [] for y in range(image.size[1]): intervals.append([]) return intervals choices = { "random": random, "threshold": threshold, "edges": edge, "waves": waves, "file": file_mask, "file-edges": file_edges, "none": none }

0

39675b4eae9bd0f8017c2c07deb058b60fae1c72

8,960

py

Python

popup_field/views.py

spcrxj/django-popup-field

0b9284c039a7c6453a3e0bb877010d67cc3d83dd

[ "BSD-3-Clause" ]

10

2018-09-14T09:49:41.000Z

2021-03-12T19:12:10.000Z

popup_field/views.py

spcrxj/django-popup-field

0b9284c039a7c6453a3e0bb877010d67cc3d83dd

[ "BSD-3-Clause" ]

1

2019-03-11T00:53:24.000Z

popup_field/views.py

yinkh/django-popup-field

0b9284c039a7c6453a3e0bb877010d67cc3d83dd

[ "BSD-3-Clause" ]

7

2019-05-02T19:44:51.000Z

2021-06-28T23:31:32.000Z

import django from django.conf import settings from django.utils.decorators import classonlymethod from django.views.generic import CreateView, UpdateView, DeleteView from django.contrib.auth.mixins import PermissionRequiredMixin from django.http.response import JsonResponse from django.template.response import TemplateResponse from django.core.exceptions import ImproperlyConfigured from .fields import ForeignKeyWidget, ManyToManyWidget if django.VERSION >= (2, 0): from django.urls import path, include else: from django.conf.urls import url, include

37.805907

119

0.642076

import django from django.conf import settings from django.utils.decorators import classonlymethod from django.views.generic import CreateView, UpdateView, DeleteView from django.contrib.auth.mixins import PermissionRequiredMixin from django.http.response import JsonResponse from django.template.response import TemplateResponse from django.core.exceptions import ImproperlyConfigured from .fields import ForeignKeyWidget, ManyToManyWidget if django.VERSION >= (2, 0): from django.urls import path, include else: from django.conf.urls import url, include class PopupCreateView(PermissionRequiredMixin, CreateView): popup_name = None def get_context_data(self, **kwargs): if 'to_field' in self.request.GET: kwargs['to_field'] = self.request.GET['to_field'] kwargs['popup_name'] = self.popup_name return super(PopupCreateView, self).get_context_data(**kwargs) def form_valid(self, form): self.object = form.save() context = {'op': 'create', 'id': self.object.id, 'value': self.object.__str__()} if 'to_field' in self.request.GET: context['to_field'] = self.request.GET['to_field'] return TemplateResponse(self.request, 'popup/success.html', context=context) class PopupUpdateView(PermissionRequiredMixin, UpdateView): slug_field = 'id' context_object_name = 'popup' popup_name = None def get_context_data(self, **kwargs): if 'to_field' in self.request.GET: kwargs['to_field'] = self.request.GET['to_field'] kwargs['popup_name'] = self.popup_name return super(PopupUpdateView, self).get_context_data(**kwargs) def form_valid(self, form): self.object = form.save() context = {'op': 'update', 'id': self.object.id, 'value': self.object.__str__()} if 'to_field' in self.request.GET: context['to_field'] = self.request.GET['to_field'] return TemplateResponse(self.request, 'popup/success.html', context=context) class PopupDeleteView(PermissionRequiredMixin, DeleteView): slug_field = 'id' def delete(self, request, *args, **kwargs): if not self.model: raise ImproperlyConfigured('model must be override in PopupDeleteView') self.object = self.get_object() data = {'op': 'delete', 'id': self.object.id, 'value': self.object.__str__()} self.object.delete() return JsonResponse(data=data) class PopupCRUDViewSet(object): model = None form_class = None class_name = None class_verbose_name = None template_name_create = None template_name_update = None template_name_fk = None template_name_m2m = None context_for_all = {} context_for_create = {} context_for_update = {} # parent class for PopupCreateView、PopupUpdateView、PopupDeleteView parent_class = object """ permissions_required = { 'create': ('post.add_category',), 'update': ('post.update_category',), 'delete': ('post.delete_category',) } """ raise_exception = True permissions_required = {} @classonlymethod def get_template_name_create(cls): if cls.template_name_create is None: template_name = getattr(settings, 'POPUP_TEMPLATE_NAME_CREATE', None) if template_name is None: raise ImproperlyConfigured('You must set template_name_create in PopupCRUDViewSet or ' 'set POPUP_TEMPLATE_NAME_CREATE in django settings') else: return template_name else: return cls.template_name_create @classonlymethod def get_template_name_update(cls): if cls.template_name_update is None: template_name = getattr(settings, 'POPUP_TEMPLATE_NAME_UPDATE', None) if template_name is None: raise ImproperlyConfigured('You must set template_name_update in PopupCRUDViewSet or ' 'set POPUP_TEMPLATE_NAME_UPDATE in django settings') else: return template_name else: return cls.template_name_update @classonlymethod def get_class_name(cls): if cls.class_name is None: return cls.model.__name__.lower() else: return cls.class_name @classonlymethod def get_class_verbose_name(cls): if cls.class_verbose_name is None: return cls.model._meta.verbose_name else: return cls.class_verbose_name @classonlymethod def create(cls): """ Returns the create view that can be specified as the second argument to url() in urls.py. """ class NewPopupCreateView(PopupCreateView, cls.parent_class): model = cls.model form_class = cls.form_class popup_name = cls.get_class_verbose_name() template_name = cls.get_template_name_create() permission_required = cls.get_permission_required('create') def get_context_data(self, **kwargs): kwargs.update(cls.context_for_all) kwargs.update(cls.context_for_create) return super(NewPopupCreateView, self).get_context_data(**kwargs) return NewPopupCreateView @staticmethod def create_view_context(self, kwargs): return kwargs @classonlymethod def update(cls): """ Returns the update view that can be specified as the second argument to url() in urls.py. """ class NewPopupUpdateView(PopupUpdateView, cls.parent_class): model = cls.model form_class = cls.form_class popup_name = cls.get_class_verbose_name() template_name = cls.get_template_name_update() permission_required = cls.get_permission_required('update') def get_context_data(self, **kwargs): kwargs.update(cls.context_for_all) kwargs.update(cls.context_for_update) return super(NewPopupUpdateView, self).get_context_data(**kwargs) return NewPopupUpdateView @classonlymethod def delete(cls): """ Returns the delete view that can be specified as the second argument to url() in urls.py. """ class PopupDeleteViewView(PopupDeleteView, cls.parent_class): model = cls.model form_class = cls.form_class permission_required = cls.get_permission_required('delete') return PopupDeleteViewView @classonlymethod def urls(cls): """ generate url and url_name for create、update and delete view default url_name is classname_name """ class_name = cls.get_class_name() if django.VERSION >= (2, 0): return path('{}/'.format(class_name), include([ path('popup/', cls.create().as_view(), name='{}_popup_create'.format(class_name)), path('popup/<int:pk>/', cls.update().as_view(), name='{}_popup_update'.format(class_name)), path('popup/delete/<int:pk>/', cls.delete().as_view(), name='{}_popup_delete'.format(class_name)), ])) else: return url(r'^{}/'.format(class_name), include([ url(r'^popup/$', cls.create().as_view(), name='{}_popup_create'.format(class_name)), url(r'^popup/(?P<pk>\d+)/$', cls.update().as_view(), name='{}_popup_update'.format(class_name)), url(r'^popup/delete/(?P<pk>\d+)/$', cls.delete().as_view(), name='{}_popup_delete'.format(class_name)), ])) @classonlymethod def get_fk_popup_field(cls, *args, **kwargs): """ generate fk field related to class wait popup crud """ kwargs['popup_name'] = cls.get_class_verbose_name() kwargs['permissions_required'] = cls.permissions_required if cls.template_name_fk is not None: kwargs['template_name'] = cls.template_name_fk return ForeignKeyWidget('{}_popup_create'.format(cls.get_class_name()), *args, **kwargs) @classonlymethod def get_m2m_popup_field(cls, *args, **kwargs): """ generate m2m field related to class wait popup crud """ kwargs['popup_name'] = cls.get_class_verbose_name() kwargs['permissions_required'] = cls.permissions_required if cls.template_name_m2m is not None: kwargs['template_name'] = cls.template_name_m2m return ManyToManyWidget('{}_popup_create'.format(cls.get_class_name()), *args, **kwargs) @classonlymethod def get_permission_required(cls, action): """ Return the permission required for the CRUD operation specified in action. Default implementation returns the value of one """ return cls.permissions_required.get(action, [])

3,161

5,144

92

7297dac8ad7e2a204b1900de986dabdeacbb7cbb

458

py

Python

chapter10/10-7.py

alberthao/Python-Crash-Course-Homework

105ffb3075db075425d6cf0d08d9837ef0548866

[ "MIT" ]

138

2019-07-26T13:42:31.000Z

2021-04-13T23:51:49.000Z

chapter10/10-7.py

alberthao/Python-Crash-Course-Homework

105ffb3075db075425d6cf0d08d9837ef0548866

[ "MIT" ]

6

2019-07-20T13:47:47.000Z

2019-08-04T06:49:06.000Z

chapter10/10-7.py

alberthao/Python-Crash-Course-Homework

105ffb3075db075425d6cf0d08d9837ef0548866

[ "MIT" ]

51

2019-07-26T09:46:28.000Z

2021-03-29T07:58:16.000Z

print("Enter 'q' at any time to quit.\n") while True: try: x = input("\nGive me a number: ") if x == 'q': break x = int(x) y = input("Give me another number: ") if y == 'q': break y = int(y) except ValueError: print("Sorry, I really needed a number.") else: sum = x + y print("The sum of " + str(x) + " and " + str(y) + " is " + str(sum) + ".")

20.818182

82

0.434498

print("Enter 'q' at any time to quit.\n") while True: try: x = input("\nGive me a number: ") if x == 'q': break x = int(x) y = input("Give me another number: ") if y == 'q': break y = int(y) except ValueError: print("Sorry, I really needed a number.") else: sum = x + y print("The sum of " + str(x) + " and " + str(y) + " is " + str(sum) + ".")

0

199819f81209ebbe29e58acb795f12caf099835a

1,402

py

Python

bin/cds-efas.py

fmidev/harvesterseasons-smartmet

2a0538f1d7f95f8085273d4ff93d39066780c2a7

[ "MIT" ]

1

2021-04-09T16:48:26.000Z

bin/cds-efas.py

fmidev/harvesterseasons-smartmet

2a0538f1d7f95f8085273d4ff93d39066780c2a7

[ "MIT" ]

null

bin/cds-efas.py

fmidev/harvesterseasons-smartmet

2a0538f1d7f95f8085273d4ff93d39066780c2a7

[ "MIT" ]

1

2021-07-21T11:27:02.000Z

#!/usr/bin/env python3 import sys import cdsapi year= sys.argv[1] month= sys.argv[2] c = cdsapi.Client() c.retrieve( 'efas-historical', { 'format': 'grib', 'origin': 'ecmwf', 'simulation_version': 'version_3_5', 'variable': [ 'soil_depth', 'volumetric_soil_moisture', ], 'model_levels': 'soil_levels', 'soil_level': [ '1', '2', '3', ], 'hyear': year, 'hmonth': month, 'hday': [ '01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '30', '31', ] }, '/home/smartmet/data/efas-ana-%s.grib'%(year))

35.948718

77

0.245364

#!/usr/bin/env python3 import sys import cdsapi year= sys.argv[1] month= sys.argv[2] c = cdsapi.Client() c.retrieve( 'efas-historical', { 'format': 'grib', 'origin': 'ecmwf', 'simulation_version': 'version_3_5', 'variable': [ 'soil_depth', 'volumetric_soil_moisture', ], 'model_levels': 'soil_levels', 'soil_level': [ '1', '2', '3', ], 'hyear': year, 'hmonth': month, 'hday': [ '01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '30', '31', ] }, '/home/smartmet/data/efas-ana-%s.grib'%(year))

0

9aeb8240c4110e464b0d04ac28750b16f3b40727

8,197

py

Python

mcpipy/mcpi/block.py

sprintingkiwi/pycraft_mod

a1ce8817ccff3e701aa787a2e531df5a6cc8f887

[ "MIT" ]

15

2017-08-27T15:33:19.000Z

2021-05-05T07:30:57.000Z

pycraft_minetest-0.7/pycraft_minetest/blocklist.py

Lopastudio/complete-builder-for-minetest

23f1bca1f2aa87146c759ad3e8e5b8d62aec57a4

[ "MIT" ]

2

2018-11-30T19:56:02.000Z

2021-09-24T05:20:39.000Z

pycraft_minetest-0.7/pycraft_minetest/blocklist.py

Lopastudio/complete-builder-for-minetest

23f1bca1f2aa87146c759ad3e8e5b8d62aec57a4

[ "MIT" ]

4

2018-05-10T19:37:06.000Z

2019-09-02T19:28:14.000Z

from . import settings class Block: """Minecraft PI block description. Can be sent to Minecraft.setBlock/s""" def __iter__(self): """Allows a Block to be sent whenever id [and data] is needed""" if self.nbt is not None: return iter((self.id, self.data, self.nbt)) else: return iter((self.id, self.data)) AIR = Block(0) STONE = Block(1) GRASS = Block(2) DIRT = Block(3) COBBLESTONE = Block(4) WOOD_PLANKS = Block(5) SAPLING = Block(6) BEDROCK = Block(7) WATER_FLOWING = Block(8) WATER = WATER_FLOWING WATER_STATIONARY = Block(9) LAVA_FLOWING = Block(10) LAVA = LAVA_FLOWING LAVA_STATIONARY = Block(11) SAND = Block(12) GRAVEL = Block(13) GOLD_ORE = Block(14) IRON_ORE = Block(15) COAL_ORE = Block(16) WOOD = Block(17) LEAVES = Block(18) GLASS = Block(20) LAPIS_LAZULI_ORE = Block(21) LAPIS_LAZULI_BLOCK = Block(22) SANDSTONE = Block(24) BED = Block(26) COBWEB = Block(30) GRASS_TALL = Block(31) WOOL = Block(35) FLOWER_YELLOW = Block(37) FLOWER_CYAN = Block(38) MUSHROOM_BROWN = Block(39) MUSHROOM_RED = Block(40) GOLD_BLOCK = Block(41) IRON_BLOCK = Block(42) STONE_SLAB_DOUBLE = Block(43) STONE_SLAB = Block(44) BRICK_BLOCK = Block(45) TNT = Block(46) BOOKSHELF = Block(47) MOSS_STONE = Block(48) OBSIDIAN = Block(49) TORCH = Block(50) FIRE = Block(51) STAIRS_WOOD = Block(53) CHEST = Block(54) DIAMOND_ORE = Block(56) DIAMOND_BLOCK = Block(57) CRAFTING_TABLE = Block(58) FARMLAND = Block(60) FURNACE_INACTIVE = Block(61) FURNACE_ACTIVE = Block(62) DOOR_WOOD = Block(64) LADDER = Block(65) STAIRS_COBBLESTONE = Block(67) DOOR_IRON = Block(71) REDSTONE_ORE = Block(73) STONE_BUTTON = Block(77) SNOW = Block(78) ICE = Block(79) SNOW_BLOCK = Block(80) CACTUS = Block(81) CLAY = Block(82) SUGAR_CANE = Block(83) FENCE = Block(85) GLOWSTONE_BLOCK = Block(89) BEDROCK_INVISIBLE = Block(95) if settings.isPE: STAINED_GLASS = WOOL else: STAINED_GLASS = Block(95) STONE_BRICK = Block(98) GLASS_PANE = Block(102) MELON = Block(103) FENCE_GATE = Block(107) WOOD_BUTTON = Block(143) REDSTONE_BLOCK = Block(152) QUARTZ_BLOCK = Block(155) if settings.isPE: HARDENED_CLAY_STAINED = WOOL else: HARDENED_CLAY_STAINED = Block(159) if settings.isPE: SEA_LANTERN = Block(246) # glowing obsidian else: SEA_LANTERN = Block(169) CARPET = Block(171) COAL_BLOCK = Block(173) if settings.isPE: GLOWING_OBSIDIAN = Block(246) NETHER_REACTOR_CORE = Block(247) REDSTONE_LAMP_INACTIVE = OBSIDIAN REDSTONE_LAMP_ACTIVE = GLOWING_OBSIDIAN else: GLOWING_OBSIDIAN = SEA_LANTERN NETHER_REACTOR_CORE = SEA_LANTERN REDSTONE_LAMP_INACTIVE = Block(123) REDSTONE_LAMP_ACTIVE = Block(124) SUNFLOWER = Block(175,0) LILAC = Block(175,1) DOUBLE_TALLGRASS = Block(175,2) LARGE_FERN = Block(175,3) ROSE_BUSH = Block(175,4) PEONY = Block(175,5) WOOL_WHITE = Block(WOOL.id, 0) WOOL_ORANGE = Block(WOOL.id, 1) WOOL_MAGENTA = Block(WOOL.id, 2) WOOL_LIGHT_BLUE = Block(WOOL.id, 3) WOOL_YELLOW = Block(WOOL.id, 4) WOOL_LIME = Block(WOOL.id, 5) WOOL_PINK = Block(WOOL.id, 6) WOOL_GRAY = Block(WOOL.id, 7) WOOL_LIGHT_GRAY = Block(WOOL.id, 8) WOOL_CYAN = Block(WOOL.id, 9) WOOL_PURPLE = Block(WOOL.id, 10) WOOL_BLUE = Block(WOOL.id, 11) WOOL_BROWN = Block(WOOL.id, 12) WOOL_GREEN = Block(WOOL.id, 13) WOOL_RED = Block(WOOL.id, 14) WOOL_BLACK = Block(WOOL.id, 15) CARPET_WHITE = Block(CARPET.id, 0) CARPET_ORANGE = Block(CARPET.id, 1) CARPET_MAGENTA = Block(CARPET.id, 2) CARPET_LIGHT_BLUE = Block(CARPET.id, 3) CARPET_YELLOW = Block(CARPET.id, 4) CARPET_LIME = Block(CARPET.id, 5) CARPET_PINK = Block(CARPET.id, 6) CARPET_GRAY = Block(CARPET.id, 7) CARPET_LIGHT_GRAY = Block(CARPET.id, 8) CARPET_CYAN = Block(CARPET.id, 9) CARPET_PURPLE = Block(CARPET.id, 10) CARPET_BLUE = Block(CARPET.id, 11) CARPET_BROWN = Block(CARPET.id, 12) CARPET_GREEN = Block(CARPET.id, 13) CARPET_RED = Block(CARPET.id, 14) CARPET_BLACK = Block(CARPET.id, 15) STAINED_GLASS_WHITE = Block(STAINED_GLASS.id, 0) STAINED_GLASS_ORANGE = Block(STAINED_GLASS.id, 1) STAINED_GLASS_MAGENTA = Block(STAINED_GLASS.id, 2) STAINED_GLASS_LIGHT_BLUE = Block(STAINED_GLASS.id, 3) STAINED_GLASS_YELLOW = Block(STAINED_GLASS.id, 4) STAINED_GLASS_LIME = Block(STAINED_GLASS.id, 5) STAINED_GLASS_PINK = Block(STAINED_GLASS.id, 6) STAINED_GLASS_GRAY = Block(STAINED_GLASS.id, 7) STAINED_GLASS_LIGHT_GRAY = Block(STAINED_GLASS.id, 8) STAINED_GLASS_CYAN = Block(STAINED_GLASS.id, 9) STAINED_GLASS_PURPLE = Block(STAINED_GLASS.id, 10) STAINED_GLASS_BLUE = Block(STAINED_GLASS.id, 11) STAINED_GLASS_BROWN = Block(STAINED_GLASS.id, 12) STAINED_GLASS_GREEN = Block(STAINED_GLASS.id, 13) STAINED_GLASS_RED = Block(STAINED_GLASS.id, 14) STAINED_GLASS_BLACK = Block(STAINED_GLASS.id, 15) HARDENED_CLAY_STAINED_WHITE = Block(HARDENED_CLAY_STAINED.id, 0) HARDENED_CLAY_STAINED_ORANGE = Block(HARDENED_CLAY_STAINED.id, 1) HARDENED_CLAY_STAINED_MAGENTA = Block(HARDENED_CLAY_STAINED.id, 2) HARDENED_CLAY_STAINED_LIGHT_BLUE = Block(HARDENED_CLAY_STAINED.id, 3) HARDENED_CLAY_STAINED_YELLOW = Block(HARDENED_CLAY_STAINED.id, 4) HARDENED_CLAY_STAINED_LIME = Block(HARDENED_CLAY_STAINED.id, 5) HARDENED_CLAY_STAINED_PINK = Block(HARDENED_CLAY_STAINED.id, 6) HARDENED_CLAY_STAINED_GRAY = Block(HARDENED_CLAY_STAINED.id, 7) HARDENED_CLAY_STAINED_LIGHT_GRAY = Block(HARDENED_CLAY_STAINED.id, 8) HARDENED_CLAY_STAINED_CYAN = Block(HARDENED_CLAY_STAINED.id, 9) HARDENED_CLAY_STAINED_PURPLE = Block(HARDENED_CLAY_STAINED.id, 10) HARDENED_CLAY_STAINED_BLUE = Block(HARDENED_CLAY_STAINED.id, 11) HARDENED_CLAY_STAINED_BROWN = Block(HARDENED_CLAY_STAINED.id, 12) HARDENED_CLAY_STAINED_GREEN = Block(HARDENED_CLAY_STAINED.id, 13) HARDENED_CLAY_STAINED_RED = Block(HARDENED_CLAY_STAINED.id, 14) HARDENED_CLAY_STAINED_BLACK = Block(HARDENED_CLAY_STAINED.id, 15) LEAVES_OAK_DECAYABLE = Block(LEAVES.id, 0) LEAVES_SPRUCE_DECAYABLE = Block(LEAVES.id, 1) LEAVES_BIRCH_DECAYABLE = Block(LEAVES.id, 2) LEAVES_JUNGLE_DECAYABLE = Block(LEAVES.id, 3) LEAVES_OAK_PERMANENT = Block(LEAVES.id, 4) LEAVES_SPRUCE_PERMANENT = Block(LEAVES.id, 5) LEAVES_BIRCH_PERMANENT = Block(LEAVES.id, 6) LEAVES_JUNGLE_PERMANENT = Block(LEAVES.id, 7) if settings.isPE: LEAVES_ACACIA_DECAYABLE = Block(161,0) LEAVES_DARK_OAK_DECAYABLE = Block(161,1) LEAVES_ACACIA_PERMANENT = Block(161,2) LEAVES_DARK_OAK_PERMANENT = Block(161,3) else: LEAVES_ACACIA_DECAYABLE = LEAVES_OAK_DECAYABLE LEAVES_DARK_OAK_DECAYABLE = LEAVES_JUNGLE_DECAYABLE LEAVES_ACACIA_PERMANENT = LEAVES_OAK_PERMANENT LEAVES_DARK_OAK_PERMANENT = LEAVES_JUNGLE_PERMANENT

34.012448

86

0.665487

from . import settings class Block: """Minecraft PI block description. Can be sent to Minecraft.setBlock/s""" def __init__(self, id, data=0, nbt=None): self.id = id self.data = data if nbt is not None and len(nbt)==0: self.nbt = None else: self.nbt = nbt def __eq__(self, rhs): try: return self.id == rhs.id and self.data == rhs.data and self.nbt == rhs.nbt except: return self.data == 0 and self.nbt is None and self.id == rhs def __ne__(self, rhs): return not self.__eq__(rhs) def __hash__(self): h = (self.id << 8) + self.data if self.nbt is not None: h ^= hash(self.nbt) def withData(self, data): return Block(self.id, data) def __iter__(self): """Allows a Block to be sent whenever id [and data] is needed""" if self.nbt is not None: return iter((self.id, self.data, self.nbt)) else: return iter((self.id, self.data)) def __repr__(self): if self.nbt is None: return "Block(%d, %d)"%(self.id, self.data) else: return "Block(%d, %d, %s)"%(self.id, self.data, repr(self.nbt)) AIR = Block(0) STONE = Block(1) GRASS = Block(2) DIRT = Block(3) COBBLESTONE = Block(4) WOOD_PLANKS = Block(5) SAPLING = Block(6) BEDROCK = Block(7) WATER_FLOWING = Block(8) WATER = WATER_FLOWING WATER_STATIONARY = Block(9) LAVA_FLOWING = Block(10) LAVA = LAVA_FLOWING LAVA_STATIONARY = Block(11) SAND = Block(12) GRAVEL = Block(13) GOLD_ORE = Block(14) IRON_ORE = Block(15) COAL_ORE = Block(16) WOOD = Block(17) LEAVES = Block(18) GLASS = Block(20) LAPIS_LAZULI_ORE = Block(21) LAPIS_LAZULI_BLOCK = Block(22) SANDSTONE = Block(24) BED = Block(26) COBWEB = Block(30) GRASS_TALL = Block(31) WOOL = Block(35) FLOWER_YELLOW = Block(37) FLOWER_CYAN = Block(38) MUSHROOM_BROWN = Block(39) MUSHROOM_RED = Block(40) GOLD_BLOCK = Block(41) IRON_BLOCK = Block(42) STONE_SLAB_DOUBLE = Block(43) STONE_SLAB = Block(44) BRICK_BLOCK = Block(45) TNT = Block(46) BOOKSHELF = Block(47) MOSS_STONE = Block(48) OBSIDIAN = Block(49) TORCH = Block(50) FIRE = Block(51) STAIRS_WOOD = Block(53) CHEST = Block(54) DIAMOND_ORE = Block(56) DIAMOND_BLOCK = Block(57) CRAFTING_TABLE = Block(58) FARMLAND = Block(60) FURNACE_INACTIVE = Block(61) FURNACE_ACTIVE = Block(62) DOOR_WOOD = Block(64) LADDER = Block(65) STAIRS_COBBLESTONE = Block(67) DOOR_IRON = Block(71) REDSTONE_ORE = Block(73) STONE_BUTTON = Block(77) SNOW = Block(78) ICE = Block(79) SNOW_BLOCK = Block(80) CACTUS = Block(81) CLAY = Block(82) SUGAR_CANE = Block(83) FENCE = Block(85) GLOWSTONE_BLOCK = Block(89) BEDROCK_INVISIBLE = Block(95) if settings.isPE: STAINED_GLASS = WOOL else: STAINED_GLASS = Block(95) STONE_BRICK = Block(98) GLASS_PANE = Block(102) MELON = Block(103) FENCE_GATE = Block(107) WOOD_BUTTON = Block(143) REDSTONE_BLOCK = Block(152) QUARTZ_BLOCK = Block(155) if settings.isPE: HARDENED_CLAY_STAINED = WOOL else: HARDENED_CLAY_STAINED = Block(159) if settings.isPE: SEA_LANTERN = Block(246) # glowing obsidian else: SEA_LANTERN = Block(169) CARPET = Block(171) COAL_BLOCK = Block(173) if settings.isPE: GLOWING_OBSIDIAN = Block(246) NETHER_REACTOR_CORE = Block(247) REDSTONE_LAMP_INACTIVE = OBSIDIAN REDSTONE_LAMP_ACTIVE = GLOWING_OBSIDIAN else: GLOWING_OBSIDIAN = SEA_LANTERN NETHER_REACTOR_CORE = SEA_LANTERN REDSTONE_LAMP_INACTIVE = Block(123) REDSTONE_LAMP_ACTIVE = Block(124) SUNFLOWER = Block(175,0) LILAC = Block(175,1) DOUBLE_TALLGRASS = Block(175,2) LARGE_FERN = Block(175,3) ROSE_BUSH = Block(175,4) PEONY = Block(175,5) WOOL_WHITE = Block(WOOL.id, 0) WOOL_ORANGE = Block(WOOL.id, 1) WOOL_MAGENTA = Block(WOOL.id, 2) WOOL_LIGHT_BLUE = Block(WOOL.id, 3) WOOL_YELLOW = Block(WOOL.id, 4) WOOL_LIME = Block(WOOL.id, 5) WOOL_PINK = Block(WOOL.id, 6) WOOL_GRAY = Block(WOOL.id, 7) WOOL_LIGHT_GRAY = Block(WOOL.id, 8) WOOL_CYAN = Block(WOOL.id, 9) WOOL_PURPLE = Block(WOOL.id, 10) WOOL_BLUE = Block(WOOL.id, 11) WOOL_BROWN = Block(WOOL.id, 12) WOOL_GREEN = Block(WOOL.id, 13) WOOL_RED = Block(WOOL.id, 14) WOOL_BLACK = Block(WOOL.id, 15) CARPET_WHITE = Block(CARPET.id, 0) CARPET_ORANGE = Block(CARPET.id, 1) CARPET_MAGENTA = Block(CARPET.id, 2) CARPET_LIGHT_BLUE = Block(CARPET.id, 3) CARPET_YELLOW = Block(CARPET.id, 4) CARPET_LIME = Block(CARPET.id, 5) CARPET_PINK = Block(CARPET.id, 6) CARPET_GRAY = Block(CARPET.id, 7) CARPET_LIGHT_GRAY = Block(CARPET.id, 8) CARPET_CYAN = Block(CARPET.id, 9) CARPET_PURPLE = Block(CARPET.id, 10) CARPET_BLUE = Block(CARPET.id, 11) CARPET_BROWN = Block(CARPET.id, 12) CARPET_GREEN = Block(CARPET.id, 13) CARPET_RED = Block(CARPET.id, 14) CARPET_BLACK = Block(CARPET.id, 15) STAINED_GLASS_WHITE = Block(STAINED_GLASS.id, 0) STAINED_GLASS_ORANGE = Block(STAINED_GLASS.id, 1) STAINED_GLASS_MAGENTA = Block(STAINED_GLASS.id, 2) STAINED_GLASS_LIGHT_BLUE = Block(STAINED_GLASS.id, 3) STAINED_GLASS_YELLOW = Block(STAINED_GLASS.id, 4) STAINED_GLASS_LIME = Block(STAINED_GLASS.id, 5) STAINED_GLASS_PINK = Block(STAINED_GLASS.id, 6) STAINED_GLASS_GRAY = Block(STAINED_GLASS.id, 7) STAINED_GLASS_LIGHT_GRAY = Block(STAINED_GLASS.id, 8) STAINED_GLASS_CYAN = Block(STAINED_GLASS.id, 9) STAINED_GLASS_PURPLE = Block(STAINED_GLASS.id, 10) STAINED_GLASS_BLUE = Block(STAINED_GLASS.id, 11) STAINED_GLASS_BROWN = Block(STAINED_GLASS.id, 12) STAINED_GLASS_GREEN = Block(STAINED_GLASS.id, 13) STAINED_GLASS_RED = Block(STAINED_GLASS.id, 14) STAINED_GLASS_BLACK = Block(STAINED_GLASS.id, 15) HARDENED_CLAY_STAINED_WHITE = Block(HARDENED_CLAY_STAINED.id, 0) HARDENED_CLAY_STAINED_ORANGE = Block(HARDENED_CLAY_STAINED.id, 1) HARDENED_CLAY_STAINED_MAGENTA = Block(HARDENED_CLAY_STAINED.id, 2) HARDENED_CLAY_STAINED_LIGHT_BLUE = Block(HARDENED_CLAY_STAINED.id, 3) HARDENED_CLAY_STAINED_YELLOW = Block(HARDENED_CLAY_STAINED.id, 4) HARDENED_CLAY_STAINED_LIME = Block(HARDENED_CLAY_STAINED.id, 5) HARDENED_CLAY_STAINED_PINK = Block(HARDENED_CLAY_STAINED.id, 6) HARDENED_CLAY_STAINED_GRAY = Block(HARDENED_CLAY_STAINED.id, 7) HARDENED_CLAY_STAINED_LIGHT_GRAY = Block(HARDENED_CLAY_STAINED.id, 8) HARDENED_CLAY_STAINED_CYAN = Block(HARDENED_CLAY_STAINED.id, 9) HARDENED_CLAY_STAINED_PURPLE = Block(HARDENED_CLAY_STAINED.id, 10) HARDENED_CLAY_STAINED_BLUE = Block(HARDENED_CLAY_STAINED.id, 11) HARDENED_CLAY_STAINED_BROWN = Block(HARDENED_CLAY_STAINED.id, 12) HARDENED_CLAY_STAINED_GREEN = Block(HARDENED_CLAY_STAINED.id, 13) HARDENED_CLAY_STAINED_RED = Block(HARDENED_CLAY_STAINED.id, 14) HARDENED_CLAY_STAINED_BLACK = Block(HARDENED_CLAY_STAINED.id, 15) LEAVES_OAK_DECAYABLE = Block(LEAVES.id, 0) LEAVES_SPRUCE_DECAYABLE = Block(LEAVES.id, 1) LEAVES_BIRCH_DECAYABLE = Block(LEAVES.id, 2) LEAVES_JUNGLE_DECAYABLE = Block(LEAVES.id, 3) LEAVES_OAK_PERMANENT = Block(LEAVES.id, 4) LEAVES_SPRUCE_PERMANENT = Block(LEAVES.id, 5) LEAVES_BIRCH_PERMANENT = Block(LEAVES.id, 6) LEAVES_JUNGLE_PERMANENT = Block(LEAVES.id, 7) if settings.isPE: LEAVES_ACACIA_DECAYABLE = Block(161,0) LEAVES_DARK_OAK_DECAYABLE = Block(161,1) LEAVES_ACACIA_PERMANENT = Block(161,2) LEAVES_DARK_OAK_PERMANENT = Block(161,3) else: LEAVES_ACACIA_DECAYABLE = LEAVES_OAK_DECAYABLE LEAVES_DARK_OAK_DECAYABLE = LEAVES_JUNGLE_DECAYABLE LEAVES_ACACIA_PERMANENT = LEAVES_OAK_PERMANENT LEAVES_DARK_OAK_PERMANENT = LEAVES_JUNGLE_PERMANENT

722

0

161

52878d327589645b14ad5e2436d611def2a25388

2,280

py

Python

docs/code/wk8b.py

bond-lab/Language-and-the-Computer

58d808cdbe6873256f1d0fa091ebc5d909f211bb

[ "CC-BY-4.0" ]

null

docs/code/wk8b.py

bond-lab/Language-and-the-Computer

58d808cdbe6873256f1d0fa091ebc5d909f211bb

[ "CC-BY-4.0" ]

null

docs/code/wk8b.py

bond-lab/Language-and-the-Computer

58d808cdbe6873256f1d0fa091ebc5d909f211bb

[ "CC-BY-4.0" ]

null

#Write a function shorten(text, n) to process a text, # omitting the n most frequently occurring words of the text. # How readable is it? import nltk def shorten(text, n): """Delete the most frequent n words from a text (list of words)""" assert isinstance(text, list), "The text should be a list of words" most_frequent_words = set(w for (w,f) in nltk.FreqDist(text).most_common(n)) return [w for w in text if w not in most_frequent_words] text = "to be or not to be that is the question".split() out = "or not that is the question".split() print(text) print (shorten(text,0)) print (shorten(text,1)) print (shorten(text,1)) print (shorten(text,2)) ##print shorten("to be or not to be that is the question", 2) #Write a list comprehension that sorts a list of WordNet synsets #for proximity to a given synset. #For example, given the synsets minke_whale.n.01, orca.n.01, novel.n.01, # and tortoise.n.01, sort them according to their shortest_path_distance() # from right_whale.n.01 from nltk.corpus import wordnet as wn whales = [wn.synset(s) for s in "minke_whale.n.01, orca.n.01, novel.n.01, tortoise.n.01".split(', ')] print (whales) def semantic_sort(sslist,ss): """return a list of synsets, sorted by similarity to another synset""" sim = [(ss.shortest_path_distance(s), s) for s in sslist] return [s for (sm, s) in sorted(sim)] print (semantic_sort(whales, wn.synset('right_whale.n.01'))) def semantic_sort1(sslist,ss): """return a list of synsets, sorted by similarity to another synset""" return sorted(sslist, key=lambda x: ss.shortest_path_distance(x)) print (semantic_sort1(whales, wn.synset('right_whale.n.01'))) # Write a function that takes a list of words (containing duplicates) # and returns a list of words (with no duplicates) sorted by # decreasing frequency. # E.g. if the input list contained 10 instances of the word table and # 9 instances of the word chair, then table would appear before chair # in the output list. def dec_freq(liszt): """take a list and returns a list of types in decreasing frequency""" return list(nltk.FreqDist(liszt).keys()) # Write a program to sort words by length. # print (sorted(text, key=lambda x:len(x))) print (sorted(text, key=len))

35.076923

80

0.713596

#Write a function shorten(text, n) to process a text, # omitting the n most frequently occurring words of the text. # How readable is it? import nltk def shorten(text, n): """Delete the most frequent n words from a text (list of words)""" assert isinstance(text, list), "The text should be a list of words" most_frequent_words = set(w for (w,f) in nltk.FreqDist(text).most_common(n)) return [w for w in text if w not in most_frequent_words] text = "to be or not to be that is the question".split() out = "or not that is the question".split() print(text) print (shorten(text,0)) print (shorten(text,1)) print (shorten(text,1)) print (shorten(text,2)) ##print shorten("to be or not to be that is the question", 2) #Write a list comprehension that sorts a list of WordNet synsets #for proximity to a given synset. #For example, given the synsets minke_whale.n.01, orca.n.01, novel.n.01, # and tortoise.n.01, sort them according to their shortest_path_distance() # from right_whale.n.01 from nltk.corpus import wordnet as wn whales = [wn.synset(s) for s in "minke_whale.n.01, orca.n.01, novel.n.01, tortoise.n.01".split(', ')] print (whales) def semantic_sort(sslist,ss): """return a list of synsets, sorted by similarity to another synset""" sim = [(ss.shortest_path_distance(s), s) for s in sslist] return [s for (sm, s) in sorted(sim)] print (semantic_sort(whales, wn.synset('right_whale.n.01'))) def semantic_sort1(sslist,ss): """return a list of synsets, sorted by similarity to another synset""" return sorted(sslist, key=lambda x: ss.shortest_path_distance(x)) print (semantic_sort1(whales, wn.synset('right_whale.n.01'))) # Write a function that takes a list of words (containing duplicates) # and returns a list of words (with no duplicates) sorted by # decreasing frequency. # E.g. if the input list contained 10 instances of the word table and # 9 instances of the word chair, then table would appear before chair # in the output list. def dec_freq(liszt): """take a list and returns a list of types in decreasing frequency""" return list(nltk.FreqDist(liszt).keys()) # Write a program to sort words by length. # print (sorted(text, key=lambda x:len(x))) print (sorted(text, key=len))

0

9d85cfeb79dfeff38bfba2d9825cce4992fdc056

8,208

py

Python

database/backends/elastic_database.py

zhouhongf/loader_database

85e3d606d0bd2316eb5ae2c645766b3e5f4a7832

[ "MIT" ]

1

2021-11-27T06:40:43.000Z

database/backends/elastic_database.py

zhouhongf/loader_database

85e3d606d0bd2316eb5ae2c645766b3e5f4a7832

[ "MIT" ]

null

database/backends/elastic_database.py

zhouhongf/loader_database

85e3d606d0bd2316eb5ae2c645766b3e5f4a7832

[ "MIT" ]

null

import time from config import singleton, Logger from elasticsearch import Elasticsearch from elasticsearch.helpers import bulk from datetime import datetime from numpy import long log = Logger().logger @singleton

37.309091

119

0.510599

import time from config import singleton, Logger from elasticsearch import Elasticsearch from elasticsearch.helpers import bulk from datetime import datetime from numpy import long log = Logger().logger @singleton class ElasticDatabase: def __init__(self): # 无用户名密码状态 # self.es = Elasticsearch([ip]) # self.es = Elasticsearch(hosts='root:password@192.168.50.172:9200') self.es = Elasticsearch(hosts='192.168.50.172:9200') # 用户名密码状态 # self.es = Elasticsearch([ip], http_auth=('elastic', 'password'), port=9200) def generate_bulk_datas_with_ids(self, index_name, datas): for data in datas: yield {'_index': index_name, '_id': data['_id'], '_source': data} def generate_bulk_datas_and_ids(self, index_name, datas): for idx, da in enumerate(datas): idx += 1 yield {'_index': index_name, '_id': idx, '_source': da} # 如果不存在此index, 则新建 def create_index_with_mappings(self, index_name, mappings): if not self.es.indices.exists(index=index_name): res = self.es.indices.create(index=index_name, ignore=400) print(res) res_map = self.es.indices.put_mapping(index=index_name, body=mappings) print(res_map) def delete_index(self, index_name): if self.es.indices.exists(index=index_name): res = self.es.indices.delete(index=index_name, ignore=[400, 404]) print(res) def insert_one_data_with_id(self, index_name, data): self.es.index(index=index_name, id=data['_id'], body=data) def insert_one_data_and_id(self, index_name, data): self.es.index(index=index_name, body=data) def bulk_data_with_id(self, index_name, datas): bulk(self.es, self.generate_bulk_datas_with_ids(index_name, datas)) def bulk_data_and_id(self, index_name, datas): bulk(self.es, self.generate_bulk_datas_and_ids(index_name, datas)) def search_all(self, index_name): return self.es.search(index=index_name) def delete_one_data(self, index_name, id): res = self.es.delete(index=index_name, id=id) print(res) def query_keywords(self, index_name: str, query_target: str, keywords: list): query_content = '' for word in keywords: query_content += (word + ' ') query_content = query_content[:-1] dsl = {'query': {'match': {query_target: query_content}}} return self.es.search(index=index_name, body=dsl) def query_multi_keywords(self, index_name, keyOne, valueOne, keyTwo, valueTwo): dsl = {'query': {'bool': {'must': [ {'match': {keyOne: valueOne}}, {'match': {keyTwo: valueTwo}} ]}}} return self.es.search(index=index_name, body=dsl) def query_multi_match(self, index_name, keyOne, keyTwo, value): query = {'query': {'multi_match': {'query': value, 'fields': [keyOne, keyTwo]}}} return self.es.search(index=index_name, body=query) # 参考https://techoverflow.net/?s=ElasticSearch def es_iterate_all_documents(self, index_name, pagesize=250, scroll_timeout="1m", **kwargs): """ Helper to iterate ALL values from a single index Yields all the documents. """ global scroll_id is_first = True while True: # Scroll next if is_first: # Initialize scroll result = self.es.search(index=index_name, scroll="1m", **kwargs, body={"size": pagesize}) is_first = False else: result = self.es.scroll(body={"scroll_id": scroll_id, "scroll": scroll_timeout}) scroll_id = result["_scroll_id"] hits = result["hits"]["hits"] # Stop after no more docs if not hits: break # Yield each entry yield from (hit['_source'] for hit in hits) def update_wealth(dataList: list): time_start = time.perf_counter() print('================= 运行ElasticDB更新WEALTH: %s =================' % time_start) elastic = ElasticDatabase() index_name = 'wealth' mappings = { 'dynamic': False, 'properties': { 'name': { 'type': 'text', 'analyzer': 'ik_max_word', "fields": { "keyword": { "type": "keyword", "ignore_above": 256 } } }, 'bank_name': { 'type': 'text', 'analyzer': 'ik_max_word', "fields": { "keyword": { "type": "keyword", "ignore_above": 256 } } }, 'code': {'type': 'keyword'}, 'code_register': {'type': 'keyword'}, 'create_time': {'type': 'date'} } } elastic.create_index_with_mappings(index_name, mappings) for data in dataList: _id = data['_id'] if not elastic.es.exists(index=index_name, id=_id): local_datetime = datetime.strptime(data['create_time'], "%Y-%m-%d %H:%M:%S") create_time = long(time.mktime(local_datetime.timetuple()) * 1000.0 + local_datetime.microsecond / 1000.0) dataIn = { 'name': data['name'], 'bank_name': data['bank_name'], 'code': data['code'], 'code_register': data['code_register'], 'create_time': create_time } elastic.es.index(index=index_name, id=_id, body=dataIn) time_end = time.perf_counter() print('=============== 完成ElasticDB更新WEALTH: %s, 用时: %s ==============' % (time_end, (time_end - time_start))) def update_text(dataList: list): time_start = time.perf_counter() print('================= 运行ElasticDB更新TEXT: %s =================' % time_start) elastic = ElasticDatabase() index_name = 'news' mappings = { 'dynamic': False, 'properties': { 'name': { 'type': 'text', 'analyzer': 'ik_max_word', "fields": { "keyword": { "type": "keyword", "ignore_above": 256 } } }, 'bank_name': { 'type': 'text', 'analyzer': 'ik_max_word', "fields": { "keyword": { "type": "keyword", "ignore_above": 256 } } }, 'content': { 'type': 'text', 'analyzer': 'ik_max_word', "fields": { "keyword": { "type": "keyword", "ignore_above": 256 } } }, 'type_main': {'type': 'keyword'}, 'create_time': {'type': 'date'} } } elastic.create_index_with_mappings(index_name, mappings) for data in dataList: _id = data['_id'] if not elastic.es.exists(index=index_name, id=_id): local_datetime = datetime.strptime(data['create_time'], "%Y-%m-%d %H:%M:%S") create_time = long(time.mktime(local_datetime.timetuple()) * 1000.0 + local_datetime.microsecond / 1000.0) dataIn = { 'name': data['name'], 'bank_name': data['bank_name'], 'content': data['content'], 'type_main': data['type_main'], 'create_time': create_time } elastic.es.index(index=index_name, id=_id, body=dataIn) time_end = time.perf_counter() print('=============== 完成ElasticDB更新TEXT: %s, 用时: %s ==============' % (time_end, (time_end - time_start)))

6,601

1,394

73

82dd314634453ecfc01231902539794f306a6122

1,742

py

Python

arctic/project_template/app/views.py

sanoma/django-arctic

18edd63e46b31ce0492b5991d036df896bd14bc6

[ "MIT" ]

73

2016-08-15T11:37:08.000Z

2020-04-11T14:12:19.000Z

arctic/project_template/app/views.py

sanoma/django-arctic

18edd63e46b31ce0492b5991d036df896bd14bc6

[ "MIT" ]

331

2016-08-16T12:05:04.000Z

2020-04-16T18:39:46.000Z

arctic/project_template/app/views.py

sanoma/django-arctic

18edd63e46b31ce0492b5991d036df896bd14bc6

[ "MIT" ]

26

2016-08-17T12:58:30.000Z

2019-10-16T08:07:41.000Z

from django.urls import reverse, reverse_lazy from django.utils.translation import gettext_lazy as _ from arctic.generics import ( CreateView, DeleteView, ListView, UpdateView, ) from .forms import {{ camel_case_app_name }}Form from .models import {{ camel_case_app_name }} class {{ camel_case_app_name }}ListView(ListView): model = {{ camel_case_app_name }} fields = '__all__' permission_required = 'view_{{ app_name }}' # Delete and detail action link action_links = [ ("detail", "{{ app_name}}:detail", "fa-edit"), ("delete", "{{ app_name}}:delete", "fa-trash"), ] # tool link to create tool_links = [ (_("Create {{ app_name }}"), "{{ app_name }}:create", "fa-plus"), ] # Some optional fields # paginate_by = 10 # ordering_fields = ['field_name1', ..] # search_fields = ['field_name', ...] # allowed_exports = ["csv"] class {{ camel_case_app_name }}CreateView(CreateView): model = {{ camel_case_app_name }} form_class = {{ camel_case_app_name }}Form permission_required = 'add_{{ app_name }}' class {{ camel_case_app_name }}UpdateView(UpdateView): model = {{ camel_case_app_name }} form_class = {{ camel_case_app_name }}Form permission_required = 'change_{{ app_name }}' success_url = reverse_lazy('{{app_name}}:list') actions = [ (_("Cancel"), "cancel"), (_("Save"), "submit"), ] class {{ camel_case_app_name }}DeleteView(DeleteView): model = {{ camel_case_app_name }} success_url = reverse_lazy('{{app_name}}:list') permission_required = 'delete_{{ app_name }}'

28.096774

73

0.639495

from django.urls import reverse, reverse_lazy from django.utils.translation import gettext_lazy as _ from arctic.generics import ( CreateView, DeleteView, ListView, UpdateView, ) from .forms import {{ camel_case_app_name }}Form from .models import {{ camel_case_app_name }} class {{ camel_case_app_name }}ListView(ListView): model = {{ camel_case_app_name }} fields = '__all__' permission_required = 'view_{{ app_name }}' # Delete and detail action link action_links = [ ("detail", "{{ app_name}}:detail", "fa-edit"), ("delete", "{{ app_name}}:delete", "fa-trash"), ] # tool link to create tool_links = [ (_("Create {{ app_name }}"), "{{ app_name }}:create", "fa-plus"), ] # Some optional fields # paginate_by = 10 # ordering_fields = ['field_name1', ..] # search_fields = ['field_name', ...] # allowed_exports = ["csv"] class {{ camel_case_app_name }}CreateView(CreateView): model = {{ camel_case_app_name }} form_class = {{ camel_case_app_name }}Form permission_required = 'add_{{ app_name }}' def get_success_url(self): return reverse("{{app_name}}:detail", args=(self.object.pk,)) class {{ camel_case_app_name }}UpdateView(UpdateView): model = {{ camel_case_app_name }} form_class = {{ camel_case_app_name }}Form permission_required = 'change_{{ app_name }}' success_url = reverse_lazy('{{app_name}}:list') actions = [ (_("Cancel"), "cancel"), (_("Save"), "submit"), ] class {{ camel_case_app_name }}DeleteView(DeleteView): model = {{ camel_case_app_name }} success_url = reverse_lazy('{{app_name}}:list') permission_required = 'delete_{{ app_name }}'

75

0

27

5c02859d29c36b1595a05d5d8893582c61cb71b7

5,112

py

Python

tests/model/test_model.py

agdsn/sipa

a733bce0a54ad3a79732de82e7f32b35bd87d4e2

[ "MIT" ]

22

2015-04-17T15:58:30.000Z

2021-04-19T08:26:32.000Z

tests/model/test_model.py

agdsn/sipa

a733bce0a54ad3a79732de82e7f32b35bd87d4e2

[ "MIT" ]

329

2015-04-14T23:34:31.000Z

2022-01-21T03:02:46.000Z

tests/model/test_model.py

agdsn/sipa

a733bce0a54ad3a79732de82e7f32b35bd87d4e2

[ "MIT" ]

18

2015-04-17T13:57:56.000Z

2018-05-30T14:20:59.000Z

import re from base64 import urlsafe_b64encode from os import urandom from typing import cast from unittest import TestCase from unittest.mock import MagicMock from ipaddress import IPv4Network from flask import Flask from sipa.backends import Backends, DataSource, Dormitory, InitContextCallable

33.631579

78

0.632433

import re from base64 import urlsafe_b64encode from os import urandom from typing import cast from unittest import TestCase from unittest.mock import MagicMock from ipaddress import IPv4Network from flask import Flask from sipa.backends import Backends, DataSource, Dormitory, InitContextCallable class TestBackendInitializationCase(TestCase): def setUp(self): super().setUp() self.app = Flask('sipa') self.app.config['BACKENDS'] = ['foo'] self.app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False datasource = DataSource( name='foo', user_class=object, mail_server="", webmailer_url="", support_mail="", init_context=lambda app: None ) Dormitory(name='test', display_name="", datasource=datasource, subnets=[IPv4Network('127.0.0.0/8')]) self.backends = Backends() self.backends.register(datasource) self.backends.init_app(self.app) self.backends.init_backends() def test_extension_registrated(self): assert 'backends' in self.app.extensions def test_datasource_names_unique(self): names = [dsrc.name for dsrc in self.backends.datasources] self.assertEqual(len(names), len(set(names))) def test_dormitory_names_unique(self): names = [dorm.name for dorm in self.backends.dormitories] self.assertEqual(len(names), len(set(names))) def test_all_dormitories_names_unique(self): names = [dorm.name for dorm in self.backends.all_dormitories] self.assertEqual(len(names), len(set(names))) def test_all_dormitories_greater(self): assert (set(self.backends.all_dormitories) >= set(self.backends.dormitories)) def assert_dormitories_namelist(self, list, base): """Asserts whether the list consists of (str, str) tuples …and has the correct length """ self.assertEqual(len(list), len(base)) for name, display_name in list: assert isinstance(name, str) assert isinstance(display_name, str) def test_all_dormitories_list(self): self.assert_dormitories_namelist( self.backends.dormitories_short, self.backends.all_dormitories, ) def test_supported_dormitories_list(self): self.assert_dormitories_namelist( self.backends.supported_dormitories_short, self.backends.dormitories, ) def test_get_dormitory(self): for dormitory in self.backends.dormitories: self.assertEqual(self.backends.get_dormitory(dormitory.name), dormitory) possible_names = [ dorm.name for dorm in self.backends.dormitories ] for str_length in range(10): random_string = None while random_string in possible_names: random_string = urlsafe_b64encode(urandom(str_length)) assert self.backends.get_dormitory(random_string) is None def test_dormitory_from_ip(self): for dorm in self.backends.dormitories: first_ip = next(dorm.subnets.subnets[0].hosts()) self.assertEqual(self.backends.dormitory_from_ip(first_ip), dorm) # TODO: Find an ip not in any dormitory class DatasourceTestCase(TestCase): def setUp(self): super().setUp() self.default_args = { 'name': 'test', 'user_class': object, 'mail_server': "", } self.app = MagicMock() self.app.config = {} def test_init_context_gets_called_correctly(self): init_mock = cast(InitContextCallable, MagicMock()) datasource = DataSource( **self.default_args, init_context=init_mock, ) datasource.init_context(self.app) self.assertEqual(init_mock.call_args[0], (self.app,)) def test_init_context_reads_mail(self): datasource = DataSource(**self.default_args) config = { 'support_mail': 'bazingle.foo@shizzle.xxx' } self.app.config['BACKENDS_CONFIG'] = {datasource.name: config} datasource.init_context(self.app) self.assertEqual(datasource.support_mail, config['support_mail']) def test_init_context_warns_on_unknown_keys(self): bad_keys = ['unknown', 'foo', 'bar', 'mail'] datasource = DataSource(**self.default_args) bad_config = {key: None for key in bad_keys} self.app.config['BACKENDS_CONFIG'] = {datasource.name: bad_config} with self.assertLogs('sipa.backends', level='WARNING') as context: datasource.init_context(self.app) for log in context.output: self.assertRegex(log, re.compile("ignoring.*unknown", flags=re.IGNORECASE)) self.assertTrue(any(key in log for key in bad_keys), msg="Log warning raised not containing any " "of the given invalid keys")

4,002

658

153

9d3749347780f434f22f67fb2805945ba774561c

1,707

py

Python

src/dep/cndict/gen_simp_trad.py

abrookins/RediSearch

773a04106e4f0cfbad3a75a84ce69f3a36fd16e1

[ "Apache-2.0", "Ruby", "BSD-3-Clause", "MIT" ]

2,098

2019-05-13T09:11:54.000Z

2022-03-31T06:24:50.000Z

src/dep/cndict/gen_simp_trad.py

abrookins/RediSearch

773a04106e4f0cfbad3a75a84ce69f3a36fd16e1

[ "Apache-2.0", "Ruby", "BSD-3-Clause", "MIT" ]

1,659

2019-05-13T07:55:29.000Z

2022-03-31T02:42:57.000Z

src/dep/cndict/gen_simp_trad.py

abrookins/RediSearch

773a04106e4f0cfbad3a75a84ce69f3a36fd16e1

[ "Apache-2.0", "Ruby", "BSD-3-Clause", "MIT" ]

227

2019-05-17T07:54:49.000Z

2022-03-28T03:50:19.000Z

#!/usr/bin/env python """ This script takes a JSON dictionary containing traditional chinese characters as keys, and the simplified equivalents as values. It then outputs a header file appropriate for inclusion. The header output file contains an array, `Cn_T2S` which can be used as ``` simpChr = Cn_T2S[tradChr]; ``` the variable Cn_T2S_MinChr contains the smallest key in the dictionary, whereas Cn_T2S_MaxChr contains the largest key in the dictionary. """ import json import datetime import sys from argparse import ArgumentParser ap = ArgumentParser() ap.add_argument('-f', '--file', help='Chinese map file', required=True) ap.add_argument('-o', '--output', help='Where to place the output C source') options = ap.parse_args() with open(options.file, 'r') as fp: txt = json.load(fp) if options.output is None or ap.output == '-': ofp = sys.stdout else: ofp = open(ap.output, 'w') CP_MIN = 0xffffffff CP_MAX = 0x00 for k in txt: v = ord(k) if v > CP_MAX: CP_MAX = v if v < CP_MIN: CP_MIN = v ofp.write(''' /** * Generated by {script} on {date} * */ #include <stdint.h> static const uint16_t Cn_T2S_MinChr = {cp_min}; static const uint16_t Cn_T2S_MaxChr = {cp_max}; static uint16_t Cn_T2S[{cap}]={{ '''.format( script=' '.join(sys.argv), date=datetime.datetime.now(), cp_min=CP_MIN, cp_max=CP_MAX, cap=CP_MAX+1)) num_items = 0 ITEMS_PER_LINE = 5 for trad, simp in txt.items(): ix = ord(trad) val = ord(simp) ofp.write(' [0x{:X}]=0x{:X},'.format(ix, val)) num_items += 1 if num_items >= ITEMS_PER_LINE: ofp.write('\n') num_items = 0 ofp.write('};\n') ofp.flush()

21.3375

80

0.657879

#!/usr/bin/env python """ This script takes a JSON dictionary containing traditional chinese characters as keys, and the simplified equivalents as values. It then outputs a header file appropriate for inclusion. The header output file contains an array, `Cn_T2S` which can be used as ``` simpChr = Cn_T2S[tradChr]; ``` the variable Cn_T2S_MinChr contains the smallest key in the dictionary, whereas Cn_T2S_MaxChr contains the largest key in the dictionary. """ import json import datetime import sys from argparse import ArgumentParser ap = ArgumentParser() ap.add_argument('-f', '--file', help='Chinese map file', required=True) ap.add_argument('-o', '--output', help='Where to place the output C source') options = ap.parse_args() with open(options.file, 'r') as fp: txt = json.load(fp) if options.output is None or ap.output == '-': ofp = sys.stdout else: ofp = open(ap.output, 'w') CP_MIN = 0xffffffff CP_MAX = 0x00 for k in txt: v = ord(k) if v > CP_MAX: CP_MAX = v if v < CP_MIN: CP_MIN = v ofp.write(''' /** * Generated by {script} on {date} * */ #include <stdint.h> static const uint16_t Cn_T2S_MinChr = {cp_min}; static const uint16_t Cn_T2S_MaxChr = {cp_max}; static uint16_t Cn_T2S[{cap}]={{ '''.format( script=' '.join(sys.argv), date=datetime.datetime.now(), cp_min=CP_MIN, cp_max=CP_MAX, cap=CP_MAX+1)) num_items = 0 ITEMS_PER_LINE = 5 for trad, simp in txt.items(): ix = ord(trad) val = ord(simp) ofp.write(' [0x{:X}]=0x{:X},'.format(ix, val)) num_items += 1 if num_items >= ITEMS_PER_LINE: ofp.write('\n') num_items = 0 ofp.write('};\n') ofp.flush()

0

0a9aafed602e4e30f7389bd6554aa255f58a62e3

5,001

py

Python

src/cm/models/public_ip.py

cc1-cloud/cc1

8113673fa13b6fe195cea99dedab9616aeca3ae8

[ "Apache-2.0" ]

11

2015-05-06T14:16:54.000Z

2022-02-08T23:21:31.000Z

src/cm/models/public_ip.py

fortress-shell/cc1

8113673fa13b6fe195cea99dedab9616aeca3ae8

[ "Apache-2.0" ]

1

2015-10-30T21:08:11.000Z

src/cm/models/public_ip.py

fortress-shell/cc1

8113673fa13b6fe195cea99dedab9616aeca3ae8

[ "Apache-2.0" ]

5

2016-02-12T22:01:38.000Z

2021-12-06T16:56:54.000Z

# -*- coding: utf-8 -*- # @COPYRIGHT_begin # # Copyright [2010-2014] Institute of Nuclear Physics PAN, Krakow, Poland # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # # @COPYRIGHT_end """@package src.cm.views.user.network @author Maciej Nabożny <mn@mnabozny.pl> Database model describing public ip addresses, which could be mapped on vm ip lease (Lease entity). Attached ips are redirected by nodes, on which vm are running. This is done by one-to-one NAT (SNAT+DNAT) """ import subprocess from django.db import models from cm.utils import log from cm.utils.exception import CMException

38.175573

170

0.530494

# -*- coding: utf-8 -*- # @COPYRIGHT_begin # # Copyright [2010-2014] Institute of Nuclear Physics PAN, Krakow, Poland # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # # @COPYRIGHT_end """@package src.cm.views.user.network @author Maciej Nabożny <mn@mnabozny.pl> Database model describing public ip addresses, which could be mapped on vm ip lease (Lease entity). Attached ips are redirected by nodes, on which vm are running. This is done by one-to-one NAT (SNAT+DNAT) """ import subprocess from django.db import models from cm.utils import log from cm.utils.exception import CMException class PublicIP(models.Model): address = models.IPAddressField() lease = models.ForeignKey('Lease', blank=True, null=True) user = models.ForeignKey('User', blank=True, null=True, related_name='public_ips') class Meta: app_label = 'cm' def __unicode__(self): return self.address @property def dict(self): """ @returns{dict} this PublicLease's data \n fields: @dictkey{id,int} this PublicLease's id @dictkey{ip,string} IP address corresponding to this PublicLease @dictkey{lease_id,int} id of the wrapped Lease @dictkey{vm_name,string} VM, to which IP is attached @dictkey{user_id,int} owner, if there is any """ d = {} d['ip_id'] = self.id d['public_ip_id'] = self.id d['address'] = self.address if self.lease: d['lease_id'] = self.lease.id if self.lease.vm: d['vm_name'] = self.lease.vm.name if self.lease and self.lease.vm else '' else: d['vm_name'] = '' else: d['lease_id'] = '' d['vm_name'] = '' if self.user: d['user_id'] = self.user.id else: d['user_id'] = '' return d def assign(self, lease): if lease.vm == None: raise CMException('lease_not_attached') self.lease = lease self.save() log.debug(0, "Attaching ip with comand: %s" % str(['ssh', '-i', '/var/lib/cc1/.ssh/id_rsa', '%s@%s' % (lease.vm.node.username, lease.vm.node.address), 'sudo /usr/sbin/cc1_node_public_ip attach %d %s %s' % (lease.vm.id, lease.vm_address, self.address)])) p = subprocess.Popen(['ssh', '-i', '/var/lib/cc1/.ssh/id_rsa', '%s@%s' % (lease.vm.node.username, lease.vm.node.address), 'sudo /usr/sbin/cc1_node_public_ip attach %d %s %s' % (lease.vm.id, lease.vm_address, self.address)], stdout=subprocess.PIPE) p.wait() log.debug(self.user.id, p.stdout.read()) if p.returncode != 0: log.error(self.user.id, "SSH error: %d" % p.returncode) raise CMException('public_ip_failed') def unassign(self): if self.lease == None: raise CMException('public_ip_not_attached') if self.lease.vm == None: raise CMException('lease_not_attached') log.debug(0, "Detaching ip with comand: %s" % str(['ssh', '-i', '/var/lib/cc1/.ssh/id_rsa', '%s@%s' % (self.lease.vm.node.username, self.lease.vm.node.address), 'sudo /usr/sbin/cc1_node_public_ip detach %d %s %s' % (self.lease.vm.id, self.lease.vm_address, self.address)])) p = subprocess.Popen(['ssh', '-i', '/var/lib/cc1/.ssh/id_rsa', '%s@%s' % (self.lease.vm.node.username, self.lease.vm.node.address), 'sudo /usr/sbin/cc1_node_public_ip detach %d %s %s' % (self.lease.vm.id, self.lease.vm_address, self.address)], stdout=subprocess.PIPE) p.wait() log.debug(self.user.id, p.stdout.read()) self.lease = None self.save() if p.returncode != 0: raise CMException('public_ip_failed')

2,587

1,284

23

fe60666df6a3b848589becd47d6491e0d26078cb

8,013

py

Python

blog/views.py

nixrajput/nixlab-blog-api-django

9934ee9055e919f101fc53061aa7e297c812d80d

[ "BSD-3-Clause" ]

1

2020-09-04T19:23:42.000Z

blog/views.py

nixrajput/nixlab-blog-api-django

9934ee9055e919f101fc53061aa7e297c812d80d

[ "BSD-3-Clause" ]

null

blog/views.py

nixrajput/nixlab-blog-api-django

9934ee9055e919f101fc53061aa7e297c812d80d

[ "BSD-3-Clause" ]

null

from rest_framework import status from rest_framework.authentication import TokenAuthentication from rest_framework.decorators import api_view, permission_classes, authentication_classes from rest_framework.filters import SearchFilter, OrderingFilter from rest_framework.generics import ListAPIView from rest_framework.pagination import PageNumberPagination from rest_framework.permissions import IsAuthenticated from rest_framework.response import Response from blog.models import BlogPost from blog.utils import validate_uuid4 from blog.serializers import ( BlogPostSerializer, BlogPostUpdateSerializer, BlogPostCreateSerializer, ) @api_view(["GET"]) @permission_classes((IsAuthenticated,)) @authentication_classes([TokenAuthentication]) @api_view(["POST"]) @permission_classes((IsAuthenticated,)) @api_view(["PUT"]) @permission_classes((IsAuthenticated,)) @api_view(["DELETE"]) @permission_classes((IsAuthenticated,)) @api_view(["GET"]) @permission_classes((IsAuthenticated,)) @api_view(['GET', ]) @permission_classes((IsAuthenticated,))

33.95339

98

0.672782

from rest_framework import status from rest_framework.authentication import TokenAuthentication from rest_framework.decorators import api_view, permission_classes, authentication_classes from rest_framework.filters import SearchFilter, OrderingFilter from rest_framework.generics import ListAPIView from rest_framework.pagination import PageNumberPagination from rest_framework.permissions import IsAuthenticated from rest_framework.response import Response from blog.models import BlogPost from blog.utils import validate_uuid4 from blog.serializers import ( BlogPostSerializer, BlogPostUpdateSerializer, BlogPostCreateSerializer, ) class ApiBlogListView(ListAPIView): authentication_classes = [TokenAuthentication] permission_classes = [IsAuthenticated] serializer_class = BlogPostSerializer pagination_class = PageNumberPagination filter_backends = (SearchFilter, OrderingFilter) search_fields = ('content', 'author__username') def get_queryset(self, *args, **kwargs): queryset = BlogPost.objects.filter(is_draft=False).order_by('-date_published') return queryset class ApiUserBlogListView(ListAPIView): authentication_classes = [TokenAuthentication] permission_classes = [IsAuthenticated] serializer_class = BlogPostSerializer pagination_class = PageNumberPagination filter_backends = (SearchFilter, OrderingFilter) search_fields = ('content', 'author__username') lookup_url_kwarg = "uid" def get_queryset(self, *args, **kwargs): uid = self.kwargs.get(self.lookup_url_kwarg) queryset = BlogPost.objects.filter(is_draft=False, author=uid).order_by('-date_published') return queryset @api_view(["GET"]) @permission_classes((IsAuthenticated,)) @authentication_classes([TokenAuthentication]) def api_detail_blog_view(request, post_id): data = {} is_uuid = validate_uuid4(post_id) if not is_uuid: data['response'] = "error" data["message"] = "Post ID is invalid." return Response(data=data, status=status.HTTP_400_BAD_REQUEST) try: blog_post = BlogPost.objects.get(id=post_id, is_draft=False) except BlogPost.DoesNotExist: data['response'] = "error" data["message"] = "Post doesn't found." return Response(data=data, status=status.HTTP_404_NOT_FOUND) serializer = BlogPostSerializer(blog_post, context={'request': request}) if request.method == "GET": return Response(serializer.data, status=status.HTTP_200_OK) data["response"] = "error" data["message"] = serializer.errors.__str__() return Response(data=data, status=status.HTTP_400_BAD_REQUEST) @api_view(["POST"]) @permission_classes((IsAuthenticated,)) def api_create_blog_view(request): if request.method == "POST": req_data = request.data req_data['author'] = request.user.id serializer = BlogPostCreateSerializer(data=req_data) data = {} if serializer.is_valid(): blog_post = serializer.save() data['response'] = "success" data['id'] = blog_post.id data['message'] = "Post created successfully." return Response(data=data, status=status.HTTP_201_CREATED) else: data["response"] = "error" data["message"] = serializer.errors.__str__() return Response(data=data, status=status.HTTP_400_BAD_REQUEST) @api_view(["PUT"]) @permission_classes((IsAuthenticated,)) def api_update_blog_view(request, post_id): data = {} is_uuid = validate_uuid4(post_id) if not is_uuid: data['response'] = "error" data["message"] = "Post ID is invalid." return Response(data=data, status=status.HTTP_400_BAD_REQUEST) try: blog_post = BlogPost.objects.get(id=post_id, is_draft=False) except BlogPost.DoesNotExist: data['response'] = "error" data["message"] = "Post doesn't found." return Response(data=data, status=status.HTTP_404_NOT_FOUND) user = request.user if blog_post.author != user: data['response'] = "error" data["message"] = "You don't have permission to delete this post." return Response(data=data, status=status.HTTP_401_UNAUTHORIZED) if request.method == "PUT": serializer = BlogPostUpdateSerializer( blog_post, data=request.data, partial=True ) if serializer.is_valid(): serializer.save() data['response'] = "success" data['message'] = "Post updated successfully" data['id'] = blog_post.id return Response(data=data, status=status.HTTP_200_OK) return Response(serializer.errors.__str__(), status=status.HTTP_400_BAD_REQUEST) @api_view(["DELETE"]) @permission_classes((IsAuthenticated,)) def api_delete_blog_view(request, post_id): data = {} is_uuid = validate_uuid4(post_id) if not is_uuid: data['response'] = "error" data["message"] = "Post ID is invalid." return Response(data=data, status=status.HTTP_400_BAD_REQUEST) try: blog_post = BlogPost.objects.get(id=post_id, is_draft=False) except BlogPost.DoesNotExist: data['response'] = "error" data["message"] = "Post doesn't found." return Response(data=data, status=status.HTTP_404_NOT_FOUND) user = request.user if blog_post.author != user: data['response'] = "error" data["message"] = "You don't have permission to delete this post." return Response(data=data, status=status.HTTP_401_UNAUTHORIZED) if request.method == 'DELETE': operation = blog_post.delete() if operation: data['response'] = "success" data["message"] = "Post deleted successfully." return Response(data=data, status=status.HTTP_200_OK) data["response"] = "error" data["message"] = "Post deletion failed." return Response(data=data, status=status.HTTP_400_BAD_REQUEST) @api_view(["GET"]) @permission_classes((IsAuthenticated,)) def api_like_toggle_view(request, post_id): data = {} is_uuid = validate_uuid4(post_id) if not is_uuid: data['response'] = "error" data["message"] = "Post ID is invalid." return Response(data=data, status=status.HTTP_400_BAD_REQUEST) try: blog_post = BlogPost.objects.get(id=post_id, is_draft=False) except BlogPost.DoesNotExist: data['response'] = "error" data["message"] = "Post doesn't found." return Response(data=data, status=status.HTTP_404_NOT_FOUND) if request.user.is_authenticated: if request.user in blog_post.likes.all(): blog_post.likes.remove(request.user) liked = False message = "Like removed." else: blog_post.likes.add(request.user) liked = True message = "Post liked." updated = True data["updated"] = updated data["liked"] = liked data["message"] = message return Response(data, status=status.HTTP_200_OK) else: data["response"] = "error" data["message"] = "An error occurred" return Response(data=data, status=status.HTTP_400_BAD_REQUEST) @api_view(['GET', ]) @permission_classes((IsAuthenticated,)) def api_is_author_of_blogpost(request, post_id): try: blog_post = BlogPost.objects.get(id=post_id, is_draft=False) except BlogPost.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) data = {} user = request.user if blog_post.author != user: data['response'] = "error" data["message"] = "You don't have any permission to this post." return Response(data=data, status=status.HTTP_401_UNAUTHORIZED) data["response"] = "success" data['message'] = "You have permission to edit this post." return Response(data=data, status=status.HTTP_200_OK)

6,080

687

178

1dccb3f4def3185980f12c8a2b142b665864fb7f

555

py

Python

external_libs/cryptopy/crypto/cipher/aes_cbc.py

rgrr/smartmeshsdk

a95f3e4d9e2254d59d326428fef8c77319cd4373

[ "BSD-3-Clause" ]

29

2015-02-17T14:22:14.000Z

2021-02-19T06:01:10.000Z

external_libs/cryptopy/crypto/cipher/aes_cbc.py

rgrr/smartmeshsdk

a95f3e4d9e2254d59d326428fef8c77319cd4373

[ "BSD-3-Clause" ]

104

2016-04-10T19:22:20.000Z

2018-11-20T15:47:14.000Z

external_libs/cryptopy/crypto/cipher/aes_cbc.py

rgrr/smartmeshsdk

a95f3e4d9e2254d59d326428fef8c77319cd4373

[ "BSD-3-Clause" ]

35

2015-07-10T18:58:15.000Z

2022-03-20T08:56:25.000Z

""" crypto.cipher.aes_cbc AES_CBC Encryption Algorithm Copyright (c) 2002 by Paul A. Lambert Read LICENSE.txt for license information. 2002-06-14 """ from crypto.cipher.aes import AES from crypto.cipher.cbc import CBC from crypto.cipher.base import BlockCipher, padWithPadLen, noPadding class AES_CBC(CBC): """ AES encryption in CBC feedback mode """

26.428571

70

0.695495

""" crypto.cipher.aes_cbc AES_CBC Encryption Algorithm Copyright (c) 2002 by Paul A. Lambert Read LICENSE.txt for license information. 2002-06-14 """ from crypto.cipher.aes import AES from crypto.cipher.cbc import CBC from crypto.cipher.base import BlockCipher, padWithPadLen, noPadding class AES_CBC(CBC): """ AES encryption in CBC feedback mode """ def __init__(self, key=None, padding=padWithPadLen(), keySize=16): CBC.__init__( self, AES(key, noPadding(), keySize), padding) self.name = 'AES_CBC'

150

0

26

12f659110ffd6cf2190c795f1dc4cd027e955400

569

py

Python

fpakman/util/memory.py

vinifmor/fpakman

a719991b8f7ecf366d44fdf074f5950767bdf121

[ "Zlib" ]

39

2019-06-15T08:27:12.000Z

2021-11-08T03:33:01.000Z

fpakman/util/memory.py

vinifmor/fpakman

a719991b8f7ecf366d44fdf074f5950767bdf121

[ "Zlib" ]

10

2019-06-16T12:16:19.000Z

2020-06-21T18:49:05.000Z

fpakman/util/memory.py

vinifmor/fpakman

a719991b8f7ecf366d44fdf074f5950767bdf121

[ "Zlib" ]

3

2019-08-01T12:38:46.000Z

2020-04-30T20:40:23.000Z

import time from threading import Thread from typing import List from fpakman.util.cache import Cache

23.708333

70

0.634446

import time from threading import Thread from typing import List from fpakman.util.cache import Cache class CacheCleaner(Thread): def __init__(self, caches: List[Cache], check_interval: int = 15): super(CacheCleaner, self).__init__(daemon=True) self.caches = [c for c in caches if c.is_enabled()] self.check_interval = check_interval def run(self): if self.caches: while True: for cache in self.caches: cache.clean_expired() time.sleep(self.check_interval)

381

6

77

e6e8efd159bb1ab67df8cb926bb72fb6a4a0b0e5

2,484

py

Python

2021/18.py

pubkraal/Advent

286517fe7911490a817adceefc8a84a1032e7bcc

[ "MIT" ]

null

2021/18.py

pubkraal/Advent

286517fe7911490a817adceefc8a84a1032e7bcc

[ "MIT" ]

null

2021/18.py

pubkraal/Advent

286517fe7911490a817adceefc8a84a1032e7bcc

[ "MIT" ]

null

#!/usr/bin/env python3 import sys import json from util.aoc import file_to_day from util.input import load_data if __name__ == "__main__": test = len(sys.argv) > 1 and sys.argv[1] == "test" main(test)

22.178571

79

0.457327

#!/usr/bin/env python3 import sys import json from util.aoc import file_to_day from util.input import load_data def main(test=False): numbers = [ json.loads(line) for line in load_data(file_to_day(__file__), test) ] p1_res = numbers[0] for num in numbers[1:]: p1_res = add(p1_res, num) p2 = 0 for num in numbers: for num2 in numbers: if num != num2: p2 = max(p2, magnitude(add(num, num2))) print("2021:18:1 =", magnitude(p1_res)) print("2021:18:2 =", p2) def add(n1, n2): return reduce([n1, n2]) def reduce(n): d1, n1 = explode(n) if d1: return reduce(n1) d2, n2 = split(n) if d2: return reduce(n2) return n2 def split(n): if isinstance(n, list): did1, n1 = split(n[0]) if did1: return True, [n1, n[1]] did2, n2 = split(n[1]) return did2, [n1, n2] if n >= 10: return True, [n // 2, (n + 1) // 2] return False, n def explode(n): ns = str(n) parts = [] i = 0 while i < len(ns): if ns[i] in "[,]": parts.append(ns[i]) i += 1 elif ns[i] == " ": i += 1 else: j = i while j < len(ns) and ns[j].isdigit(): j += 1 parts.append(int(ns[i:j])) i = j depth = 0 for i, c in enumerate(parts): if c == "[": depth += 1 if depth <= 4: continue left = parts[i + 1] right = parts[i + 3] left_i = None right_i = None for j in range(len(parts)): if isinstance(parts[j], int) and j < i: left_i = j elif ( isinstance(parts[j], int) and j > i + 3 and right_i is None ): right_i = j if right_i is not None: parts[right_i] += right parts = parts[:i] + [0] + parts[i + 5 :] if left_i is not None: parts[left_i] += left return True, json.loads("".join([str(p) for p in parts])) elif c == "]": depth -= 1 return False, n def magnitude(n): if isinstance(n, list): return 3 * magnitude(n[0]) + 2 * magnitude(n[1]) return n if __name__ == "__main__": test = len(sys.argv) > 1 and sys.argv[1] == "test" main(test)

2,127

0

138

493b41243d9efaa3cac240165261296652fea502

3,649

py

Python

src/darknet/py/util.py

zeroae/darknet.py

c234fb4d986adb8b0534f938c2408622b8d3aa3f

[ "MIT" ]

null

src/darknet/py/util.py

zeroae/darknet.py

c234fb4d986adb8b0534f938c2408622b8d3aa3f

[ "MIT" ]

3

2020-07-23T20:52:28.000Z

2020-11-19T22:26:26.000Z

src/darknet/py/util.py

zeroae/darknet.py

c234fb4d986adb8b0534f938c2408622b8d3aa3f

[ "MIT" ]

null

import os import fsspec import numpy as np from PIL import Image from PIL import ImageDraw

33.477064

97

0.620444

import os import fsspec import numpy as np from PIL import Image from PIL import ImageDraw def fsspec_cache_open( urlpath: str, mode="rb", compression=None, encoding="utf8", errors=None, protocol=None, newline=None, **kwargs, ) -> fsspec.core.OpenFile: chain = urlpath.split("::") if chain[0].startswith("github"): chain[0], kwargs = fsspec_split_github_url(chain[0], kwargs) # Because darknet is written in C, we need real file names for it to open if chain[0] not in {"filecache", "simplecache"}: first_scheme = chain[0].split("://")[0] urlpath = f"filecache::{urlpath}" filecache = dict(cache_storage=f"{os.environ['HOME']}/.cache/darknet.py") kwargs = {"filecache": filecache, first_scheme: kwargs} return fsspec.open(urlpath, mode, compression, encoding, errors, protocol, newline, **kwargs) def fsspec_split_github_url(github_url: str, kwargs: dict) -> (str, dict): # TODO: Remove this once fsspec > 0.7.5 from urllib.parse import urlparse rv = github_url github_url = urlparse(github_url) keys = {"org", "repo", "sha"} # If that metadata is not passed as kwargs, we need to extract it # netloc = "{org}:{repo}@{sha}" kwargs = kwargs or dict() if (keys & kwargs.keys()) != keys: org, repo, sha = github_url.username, github_url.password, github_url.hostname if org is None or repo is None or sha is None: raise ValueError( f"The github url {github_url} does not match `github://<org>:<repo>@<sha>/path`" ) kwargs.update(dict(org=org, repo=repo, sha=sha)) rv = github_url.geturl().replace(f"{github_url.netloc}/", "") return rv, kwargs def image_to_3darray(image, target_shape): # We assume the original size matches the target_shape (height, width) orig_size = target_shape if isinstance(image, str): with fsspec.open(image, mode="rb") as f: image = Image.open(f) image.load() if isinstance(image, Image.Image): orig_size = image.size image = image_scale_and_pad(image, target_shape) image = np.asarray(image) if isinstance(image, np.ndarray): if image.shape[0:2] != target_shape: image = Image.fromarray(image) orig_size = image.size image = image_scale_and_pad(image, target_shape) image = np.asarray(image) image = image.transpose((2, 0, 1)).astype(dtype=np.float32, order="C") / 255 return image, orig_size def image_scale_and_pad(image: Image.Image, target_shape) -> Image.Image: image = image.convert("RGB") if (image.width, image.height) != target_shape: from PIL import ImageOps image = image.copy() image.thumbnail(target_shape) image = ImageOps.pad(image, target_shape) return image def image_draw_detections(img: Image.Image, detections) -> Image.Image: img = img.copy() draw = ImageDraw.Draw(img) colors = ["purple", "blue", "green", "pink", "brown"] def xywh_to_bounds(x, y, w, h): return x - w / 2, y - h / 2, x + w / 2, y + h / 2 for i, (cat, prob, xywh) in enumerate(detections): text = f"{cat}@{prob:.2%}" bounds = xywh_to_bounds(*xywh) t_w, t_h = draw.textsize(text) draw.rectangle(xywh_to_bounds(*xywh), outline=colors[i % 5], width=4) draw.rectangle( (bounds[0], bounds[1] - t_h, bounds[0] + t_w + 4, bounds[1]), fill=colors[i % 5] ) draw.text((bounds[0] + 2, bounds[1] - t_h), text, fill="white") return img

3,437

0

115

903af003069ad52f30b885bf744257637efbd592

227

py

Python

liveedit/urls.py

jonny5532/wagtail-liveedit

c44d46070891a1c9a4959bc120bf1b74e8f153b6

[ "MIT" ]

null

liveedit/urls.py

jonny5532/wagtail-liveedit

c44d46070891a1c9a4959bc120bf1b74e8f153b6

[ "MIT" ]

null

liveedit/urls.py

jonny5532/wagtail-liveedit

c44d46070891a1c9a4959bc120bf1b74e8f153b6

[ "MIT" ]

null

from django.urls import re_path from . import views urlpatterns = [ re_path(r'^action/', views.action_view), re_path(r'^append-block/', views.append_block_view), re_path(r'^edit-block/', views.edit_block_view), ]

22.7

56

0.709251

from django.urls import re_path from . import views urlpatterns = [ re_path(r'^action/', views.action_view), re_path(r'^append-block/', views.append_block_view), re_path(r'^edit-block/', views.edit_block_view), ]

0

bc4ad2574746fcb990fe2f5613171952429a286e

9,063

py

Python

src/libtakiyasha/ncm.py

nukemiko/takiyasha

d0e2ebab2a476646313a1fd412f55b9d1300ea87

[ "MIT" ]

15

2022-01-16T16:13:20.000Z

2022-03-27T15:30:51.000Z

src/libtakiyasha/ncm.py

nukemiko/takiyasha

d0e2ebab2a476646313a1fd412f55b9d1300ea87

[ "MIT" ]

null

src/libtakiyasha/ncm.py

nukemiko/takiyasha

d0e2ebab2a476646313a1fd412f55b9d1300ea87

[ "MIT" ]

2

2022-01-20T18:59:07.000Z

2022-01-26T08:09:15.000Z

from __future__ import annotations import json from base64 import b64decode, b64encode from copy import deepcopy as dp from io import BytesIO from random import randrange from string import digits as strdigits from typing import Generator, IO from . import utils from .common import Cipher, Crypter from .exceptions import FileTypeMismatchError from .standardciphers import StreamedAESWithModeECB __all__ = ['NCM', 'NCMRC4Cipher'] class NCM(Crypter): """读写网易云音乐 NCM 格式的文件。读取： >>> ncmfile = NCM('./test1.ncm') >>> data = ncmfile.read() 写入： >>> ncmfile.write(b'Writted bytes') 创建、写入并保存： >>> new_ncmfile = NCM() # 随机生成一个密钥 >>> with open('./metal.flac', 'rb') as f: # 写入未加密的文件数据 ... new_ncmfile.write(f.read()) >>> new_ncmfile.save('./result.ncm') >>> """ @staticmethod @staticmethod @staticmethod def __init__(self, filething: utils.FileThing | None = None, **kwargs ) -> None: """读写网易云音乐 NCM 格式的文件。 Args: filething (file): 源 NCM 文件的路径或文件对象；留空则视为创建一个空 NCM 文件 Keyword Args: key (bytes): 加/解密数据所需的密钥；留空则会随机生成一个所有未知的关键字参数都会被忽略。 """ if filething is None: self._raw = BytesIO() self._name = None key: bytes | None = kwargs.get('key', None) if key is not None: self._cipher: NCMRC4Cipher = NCMRC4Cipher(key) else: # 如果没有指定密钥，也没有指定文件，那么随机生成一个长度等于 111 或 113 的密钥 key_left = utils.gen_random_string( randrange(27, 30), strdigits ).encode() key_right = b'E7fT49x7dof9OKCgg9cdvhEuezy3iZCL1nFvBFd1T4uSktAJKmwZXsijPbijliionVUXXg9plTbXEclAE9Lb' self._cipher = NCMRC4Cipher(key_left + key_right) self._tagdata = {} self.coverdata = b'' else: super().__init__(filething, **kwargs) def load(self, filething: utils.FileThing, **kwargs ) -> None: """将一个 NCM 文件加载到当前 NCM 对象中。 Args: filething (file): 源 NCM 文件的路径或文件对象 Keyword Args: skip_tagdata (bool): 加载文件时跳过加载标签信息和封面数据，默认为 ``False`` Raises: FileTypeMismatchError: ``filething`` 不是一个 NCM 格式文件所有未知的关键字参数都会被忽略。 """ skip_tagdata: bool = kwargs.get('skip_tagdata', False) if utils.is_filepath(filething): fileobj: IO[bytes] = open(filething, 'rb') # type: ignore self._name = fileobj.name else: fileobj: IO[bytes] = filething # type: ignore self._name = None utils.verify_fileobj_readable(fileobj, bytes) utils.verify_fileobj_seekable(fileobj) fileobj.seek(0, 0) file_header = fileobj.read(10) for header in self.file_headers(): if file_header.startswith(header): break else: raise FileTypeMismatchError('not a NCM file: bad file header') # 获取加密的主密钥数据 encrypted_masterkey_len = int.from_bytes(fileobj.read(4), 'little') encrypted_masterkey = bytes(b ^ 0x64 for b in fileobj.read(encrypted_masterkey_len)) masterkey_cipher = StreamedAESWithModeECB(self.core_key()) masterkey = masterkey_cipher.decrypt(encrypted_masterkey)[17:] # 去除密钥开头的 b'neteasecloudmusic' # 获取加密的标签信息 raw_encrypted_tagdata_len = int.from_bytes(fileobj.read(4), 'little') tagdata = {} if skip_tagdata: fileobj.seek(raw_encrypted_tagdata_len, 1) else: raw_encrypted_tagdata = bytes( b ^ 0x63 for b in fileobj.read(raw_encrypted_tagdata_len) ) encrypted_tagdata = b64decode(raw_encrypted_tagdata[22:], validate=True) # 在 b64decode 之前，去除原始数据开头的 b"163 key(Don't modify):" identifier = raw_encrypted_tagdata tagdata_cipher = StreamedAESWithModeECB(self.meta_key()) tagdata.update(json.loads(tagdata_cipher.decrypt(encrypted_tagdata)[6:])) # 在 JSON 反序列化之前，去除字节串开头的 b'music:' tagdata['identifier'] = identifier.decode() fileobj.seek(5, 1) # 获取封面数据 cover_alloc = int.from_bytes(fileobj.read(4), 'little') coverdata = b'' if skip_tagdata: fileobj.seek(cover_alloc, 1) else: cover_size = int.from_bytes(fileobj.read(4), 'little') if cover_size: coverdata = fileobj.read(cover_size) fileobj.seek(cover_alloc - cover_size, 1) # 将以上步骤所得信息，连同加密音频数据设置为属性 self._tagdata = tagdata self.coverdata = coverdata self._cipher: NCMRC4Cipher = NCMRC4Cipher(masterkey) self._raw = BytesIO(fileobj.read()) def save(self, filething: utils.FileThing | None = None, **kwargs ) -> None: """将当前 NCM 对象保存为一个 NCM 格式文件。 Args: filething (file): 目标 NCM 文件的路径或文件对象，留空则尝试使用 ``self.name``；如果两者都为空，抛出 ``ValueError`` Keyword Args: tagdata (dict): 向目标文件写入的标签信息；留空则使用 ``self.tagdata`` coverdata (bytes): 向目标文件写入的封面数据；留空则使用 ``self.coverdata`` Raises: ValueError: 同时缺少参数 ``filething`` 和属性 ``self.name`` 所有未知的关键字参数都会被忽略。 """ tagdata: dict | None = kwargs.get('tagdata', None) coverdata: bytes | None = kwargs.get('coverdata', None) if filething: if utils.is_filepath(filething): fileobj: IO[bytes] = open(filething, 'wb') # type: ignore else: fileobj: IO[bytes] = filething # type: ignore utils.verify_fileobj_writable(fileobj, bytes) elif self._name: fileobj: IO[bytes] = open(self._name, 'wb') else: raise ValueError('missing filepath or fileobj') if tagdata is None: tagdata = dp(self._tagdata) else: tagdata = dp(tagdata) if coverdata is None: coverdata = bytes(self.coverdata) fileobj.seek(0, 0) fileobj.write(b'CTENFDAM\x00\x00') # 加密并写入主密钥 masterkey = b'neteasecloudmusic' + self._cipher.key masterkey_cipher = StreamedAESWithModeECB(self.core_key()) encrypted_masterkey = bytes(b ^ 0x64 for b in masterkey_cipher.encrypt(masterkey)) fileobj.write(len(encrypted_masterkey).to_bytes(4, 'little')) fileobj.write(encrypted_masterkey) # 加密并写入标签信息 tagdata.pop('identifier', None) plain_tagdata = b'music:' + json.dumps(tagdata).encode() tagdata_cipher = StreamedAESWithModeECB(self.meta_key()) encrypted_tagdata = tagdata_cipher.encrypt(plain_tagdata) raw_encrypted_tagdata = bytes(b ^ 0x63 for b in b"163 key(Don't modify):" + b64encode(encrypted_tagdata)) fileobj.write(len(raw_encrypted_tagdata).to_bytes(4, 'little')) fileobj.write(raw_encrypted_tagdata) fileobj.seek(5, 1) # 写入封面数据 cover_alloc = len(coverdata) cover_size = cover_alloc fileobj.write(cover_alloc.to_bytes(4, 'little')) fileobj.write(cover_size.to_bytes(4, 'little')) fileobj.write(coverdata) # 写入加密的音频数据 self._raw.seek(0, 0) fileobj.write(self._raw.read()) if utils.is_filepath(filething): fileobj.close() @property

32.956364

138

0.589871

from __future__ import annotations import json from base64 import b64decode, b64encode from copy import deepcopy as dp from io import BytesIO from random import randrange from string import digits as strdigits from typing import Generator, IO from . import utils from .common import Cipher, Crypter from .exceptions import FileTypeMismatchError from .standardciphers import StreamedAESWithModeECB __all__ = ['NCM', 'NCMRC4Cipher'] class NCMRC4Cipher(Cipher): @staticmethod def cipher_name() -> str: return 'RC4' def __init__(self, key: bytes) -> None: super().__init__(key) # 使用 RC4-KSA 生成 S-box S = bytearray(range(256)) j = 0 key_len = len(key) for i in range(256): j = (j + S[i] + key[i % key_len]) & 0xff S[i], S[j] = S[j], S[i] # 使用 PRGA 从 S-box 生成密钥流 stream_short = bytearray(256) for i in range(256): _ = (i + 1) & 0xff si = S[_] & 0xff sj = S[(_ + si) & 0xff] & 0xff stream_short[i] = S[(si + sj) & 0xff] self._keystream_short = stream_short def yield_keystream(self, src_len: int, offset: int) -> Generator[int, None, None]: keystream_short = self._keystream_short for i in range(offset, offset + src_len): yield keystream_short[i & 0xff] def decrypt(self, cipherdata: bytes, start_offset: int = 0) -> bytes: cipherdata_len = len(cipherdata) return utils.bytesxor(cipherdata, bytes(self.yield_keystream(cipherdata_len, start_offset))) class NCM(Crypter): """读写网易云音乐 NCM 格式的文件。读取： >>> ncmfile = NCM('./test1.ncm') >>> data = ncmfile.read() 写入： >>> ncmfile.write(b'Writted bytes') 创建、写入并保存： >>> new_ncmfile = NCM() # 随机生成一个密钥 >>> with open('./metal.flac', 'rb') as f: # 写入未加密的文件数据 ... new_ncmfile.write(f.read()) >>> new_ncmfile.save('./result.ncm') >>> """ @staticmethod def core_key() -> bytes: return b'\x68\x7a\x48\x52\x41\x6d\x73\x6f\x35\x6b\x49\x6e\x62\x61\x78\x57' @staticmethod def meta_key(): return b'\x23\x31\x34\x6c\x6a\x6b\x5f\x21\x5c\x5d\x26\x30\x55\x3c\x27\x28' @staticmethod def file_headers() -> dict[bytes, str]: return { b'CTENFDAM': 'NCM' } def __init__(self, filething: utils.FileThing | None = None, **kwargs ) -> None: """读写网易云音乐 NCM 格式的文件。 Args: filething (file): 源 NCM 文件的路径或文件对象；留空则视为创建一个空 NCM 文件 Keyword Args: key (bytes): 加/解密数据所需的密钥；留空则会随机生成一个所有未知的关键字参数都会被忽略。 """ if filething is None: self._raw = BytesIO() self._name = None key: bytes | None = kwargs.get('key', None) if key is not None: self._cipher: NCMRC4Cipher = NCMRC4Cipher(key) else: # 如果没有指定密钥，也没有指定文件，那么随机生成一个长度等于 111 或 113 的密钥 key_left = utils.gen_random_string( randrange(27, 30), strdigits ).encode() key_right = b'E7fT49x7dof9OKCgg9cdvhEuezy3iZCL1nFvBFd1T4uSktAJKmwZXsijPbijliionVUXXg9plTbXEclAE9Lb' self._cipher = NCMRC4Cipher(key_left + key_right) self._tagdata = {} self.coverdata = b'' else: super().__init__(filething, **kwargs) def load(self, filething: utils.FileThing, **kwargs ) -> None: """将一个 NCM 文件加载到当前 NCM 对象中。 Args: filething (file): 源 NCM 文件的路径或文件对象 Keyword Args: skip_tagdata (bool): 加载文件时跳过加载标签信息和封面数据，默认为 ``False`` Raises: FileTypeMismatchError: ``filething`` 不是一个 NCM 格式文件所有未知的关键字参数都会被忽略。 """ skip_tagdata: bool = kwargs.get('skip_tagdata', False) if utils.is_filepath(filething): fileobj: IO[bytes] = open(filething, 'rb') # type: ignore self._name = fileobj.name else: fileobj: IO[bytes] = filething # type: ignore self._name = None utils.verify_fileobj_readable(fileobj, bytes) utils.verify_fileobj_seekable(fileobj) fileobj.seek(0, 0) file_header = fileobj.read(10) for header in self.file_headers(): if file_header.startswith(header): break else: raise FileTypeMismatchError('not a NCM file: bad file header') # 获取加密的主密钥数据 encrypted_masterkey_len = int.from_bytes(fileobj.read(4), 'little') encrypted_masterkey = bytes(b ^ 0x64 for b in fileobj.read(encrypted_masterkey_len)) masterkey_cipher = StreamedAESWithModeECB(self.core_key()) masterkey = masterkey_cipher.decrypt(encrypted_masterkey)[17:] # 去除密钥开头的 b'neteasecloudmusic' # 获取加密的标签信息 raw_encrypted_tagdata_len = int.from_bytes(fileobj.read(4), 'little') tagdata = {} if skip_tagdata: fileobj.seek(raw_encrypted_tagdata_len, 1) else: raw_encrypted_tagdata = bytes( b ^ 0x63 for b in fileobj.read(raw_encrypted_tagdata_len) ) encrypted_tagdata = b64decode(raw_encrypted_tagdata[22:], validate=True) # 在 b64decode 之前，去除原始数据开头的 b"163 key(Don't modify):" identifier = raw_encrypted_tagdata tagdata_cipher = StreamedAESWithModeECB(self.meta_key()) tagdata.update(json.loads(tagdata_cipher.decrypt(encrypted_tagdata)[6:])) # 在 JSON 反序列化之前，去除字节串开头的 b'music:' tagdata['identifier'] = identifier.decode() fileobj.seek(5, 1) # 获取封面数据 cover_alloc = int.from_bytes(fileobj.read(4), 'little') coverdata = b'' if skip_tagdata: fileobj.seek(cover_alloc, 1) else: cover_size = int.from_bytes(fileobj.read(4), 'little') if cover_size: coverdata = fileobj.read(cover_size) fileobj.seek(cover_alloc - cover_size, 1) # 将以上步骤所得信息，连同加密音频数据设置为属性 self._tagdata = tagdata self.coverdata = coverdata self._cipher: NCMRC4Cipher = NCMRC4Cipher(masterkey) self._raw = BytesIO(fileobj.read()) def save(self, filething: utils.FileThing | None = None, **kwargs ) -> None: """将当前 NCM 对象保存为一个 NCM 格式文件。 Args: filething (file): 目标 NCM 文件的路径或文件对象，留空则尝试使用 ``self.name``；如果两者都为空，抛出 ``ValueError`` Keyword Args: tagdata (dict): 向目标文件写入的标签信息；留空则使用 ``self.tagdata`` coverdata (bytes): 向目标文件写入的封面数据；留空则使用 ``self.coverdata`` Raises: ValueError: 同时缺少参数 ``filething`` 和属性 ``self.name`` 所有未知的关键字参数都会被忽略。 """ tagdata: dict | None = kwargs.get('tagdata', None) coverdata: bytes | None = kwargs.get('coverdata', None) if filething: if utils.is_filepath(filething): fileobj: IO[bytes] = open(filething, 'wb') # type: ignore else: fileobj: IO[bytes] = filething # type: ignore utils.verify_fileobj_writable(fileobj, bytes) elif self._name: fileobj: IO[bytes] = open(self._name, 'wb') else: raise ValueError('missing filepath or fileobj') if tagdata is None: tagdata = dp(self._tagdata) else: tagdata = dp(tagdata) if coverdata is None: coverdata = bytes(self.coverdata) fileobj.seek(0, 0) fileobj.write(b'CTENFDAM\x00\x00') # 加密并写入主密钥 masterkey = b'neteasecloudmusic' + self._cipher.key masterkey_cipher = StreamedAESWithModeECB(self.core_key()) encrypted_masterkey = bytes(b ^ 0x64 for b in masterkey_cipher.encrypt(masterkey)) fileobj.write(len(encrypted_masterkey).to_bytes(4, 'little')) fileobj.write(encrypted_masterkey) # 加密并写入标签信息 tagdata.pop('identifier', None) plain_tagdata = b'music:' + json.dumps(tagdata).encode() tagdata_cipher = StreamedAESWithModeECB(self.meta_key()) encrypted_tagdata = tagdata_cipher.encrypt(plain_tagdata) raw_encrypted_tagdata = bytes(b ^ 0x63 for b in b"163 key(Don't modify):" + b64encode(encrypted_tagdata)) fileobj.write(len(raw_encrypted_tagdata).to_bytes(4, 'little')) fileobj.write(raw_encrypted_tagdata) fileobj.seek(5, 1) # 写入封面数据 cover_alloc = len(coverdata) cover_size = cover_alloc fileobj.write(cover_alloc.to_bytes(4, 'little')) fileobj.write(cover_size.to_bytes(4, 'little')) fileobj.write(coverdata) # 写入加密的音频数据 self._raw.seek(0, 0) fileobj.write(self._raw.read()) if utils.is_filepath(filething): fileobj.close() @property def tagdata(self) -> dict: return self._tagdata

1,288

131

127

c5c8b58f25c93553d4b99dc4493692bf12596e3d

153

py

Python

unstable_baselines/lib/__init__.py

Ending2015a/unstable_baselines

1d304115406f6e29186cedb0160811d4139e2733

[ "MIT" ]

10

2021-04-26T17:48:27.000Z

2022-03-10T14:32:26.000Z

unstable_baselines/lib/__init__.py

Ending2015a/unstable_baselines

1d304115406f6e29186cedb0160811d4139e2733

[ "MIT" ]

null

unstable_baselines/lib/__init__.py

Ending2015a/unstable_baselines

1d304115406f6e29186cedb0160811d4139e2733

[ "MIT" ]

null

from . import base from . import data from . import envs from . import nets from . import prob from . import sche from . import patch from . import utils

19.125

19

0.745098

from . import base from . import data from . import envs from . import nets from . import prob from . import sche from . import patch from . import utils

0

ead8825c7772e8fc261d2f1de80ea3eefc760d6d

759

py

Python

application/configs.py

Jasbeauty/mine_blog

22899be4db20a92ad40cf35f84a3123dd0ebeee6

[ "Apache-2.0" ]

null

application/configs.py

Jasbeauty/mine_blog

22899be4db20a92ad40cf35f84a3123dd0ebeee6

[ "Apache-2.0" ]

null

application/configs.py

Jasbeauty/mine_blog

22899be4db20a92ad40cf35f84a3123dd0ebeee6

[ "Apache-2.0" ]

null

from datetime import timedelta SQLALCHEMY_DATABASE_URI = "mysql+pymysql://root:root@127.0.0.1:3306/mine_blog" SQLALCHEMY_TRACK_MODIFICATIONS = True JWT_SECRET_KEY = 'jwt_secret' JWT_AUTH_URL_RULE = '/api/v1/auth' JWT_EXPIRATION_DELTA = timedelta(seconds=12000) SYS_UPLOAD_PATH = '/home/laowang/gitwarehouse/mine_blog/application/static/img/' GITHUB_OAUTH = { 'CLIENT_ID': 'f9fa118d12389497686b', 'CLIENT_SECRET': 'a67149f74ce50c1e95c2d9bdeba7bbd579eb8d45', 'AUTHORIZE_PATH': 'https://github.com/login/oauth/authorize', 'ACCESS_TOKEN_PATH': 'https://github.com/login/oauth/access_token', 'USER_MESSAGE_PATH': 'https://api.github.com/user', } TENCENT_OAUTH = { 'secret_id': '', 'secret_key': '', 'region': '', 'bucket': '' }

36.142857

80

0.73386

from datetime import timedelta SQLALCHEMY_DATABASE_URI = "mysql+pymysql://root:root@127.0.0.1:3306/mine_blog" SQLALCHEMY_TRACK_MODIFICATIONS = True JWT_SECRET_KEY = 'jwt_secret' JWT_AUTH_URL_RULE = '/api/v1/auth' JWT_EXPIRATION_DELTA = timedelta(seconds=12000) SYS_UPLOAD_PATH = '/home/laowang/gitwarehouse/mine_blog/application/static/img/' GITHUB_OAUTH = { 'CLIENT_ID': 'f9fa118d12389497686b', 'CLIENT_SECRET': 'a67149f74ce50c1e95c2d9bdeba7bbd579eb8d45', 'AUTHORIZE_PATH': 'https://github.com/login/oauth/authorize', 'ACCESS_TOKEN_PATH': 'https://github.com/login/oauth/access_token', 'USER_MESSAGE_PATH': 'https://api.github.com/user', } TENCENT_OAUTH = { 'secret_id': '', 'secret_key': '', 'region': '', 'bucket': '' }

0

4f293f13da8b2b212878611a5435d18eee9f1452

387

py

Python

user/migrations/0002_customuser_address.py

Zomba4okk/MailApp

2d5cb4f26e3abe2b8e70f15ead888c502741c90b

[ "MIT" ]

null

user/migrations/0002_customuser_address.py

Zomba4okk/MailApp

2d5cb4f26e3abe2b8e70f15ead888c502741c90b

[ "MIT" ]

null

user/migrations/0002_customuser_address.py

Zomba4okk/MailApp

2d5cb4f26e3abe2b8e70f15ead888c502741c90b

[ "MIT" ]

null

# Generated by Django 3.1.4 on 2020-12-17 12:05 from django.db import migrations, models

20.368421

62

0.591731

# Generated by Django 3.1.4 on 2020-12-17 12:05 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('user', '0001_initial'), ] operations = [ migrations.AddField( model_name='customuser', name='address', field=models.CharField(max_length=100, null=True), ), ]

0

273

23

ff0709071d96c95956e90d661b9d512c8f75af12

712

py

Python

Intro CS/Py4e/sum_comments.py

willian-pessoa/My-codes-in-CS-learning-journey

21970780b42435c6be5d5c240b033ff469eaddc5

[ "MIT" ]

null

Intro CS/Py4e/sum_comments.py

willian-pessoa/My-codes-in-CS-learning-journey

21970780b42435c6be5d5c240b033ff469eaddc5

[ "MIT" ]

null

Intro CS/Py4e/sum_comments.py

willian-pessoa/My-codes-in-CS-learning-journey

21970780b42435c6be5d5c240b033ff469eaddc5

[ "MIT" ]

null

# To run this, download the BeautifulSoup zip file # http://www.py4e.com/code3/bs4.zip # and unzip it in the same directory as this file from urllib.request import urlopen from bs4 import BeautifulSoup import ssl # Ignore SSL certificate errors ctx = ssl.create_default_context() ctx.check_hostname = False ctx.verify_mode = ssl.CERT_NONE url = input('Enter - ') html = urlopen(url, context=ctx).read() soup = BeautifulSoup(html, "html.parser") total = 0 count = 0 # Retrieve all of the span tags tags = soup('span') for tag in tags: # Look at the parts of a tag number = int(tag.contents[0]) total += number count += 1 print("Sum:", total) print("Count:", count)

24.551724

51

0.685393

# To run this, download the BeautifulSoup zip file # http://www.py4e.com/code3/bs4.zip # and unzip it in the same directory as this file from urllib.request import urlopen from bs4 import BeautifulSoup import ssl # Ignore SSL certificate errors ctx = ssl.create_default_context() ctx.check_hostname = False ctx.verify_mode = ssl.CERT_NONE url = input('Enter - ') html = urlopen(url, context=ctx).read() soup = BeautifulSoup(html, "html.parser") total = 0 count = 0 # Retrieve all of the span tags tags = soup('span') for tag in tags: # Look at the parts of a tag number = int(tag.contents[0]) total += number count += 1 print("Sum:", total) print("Count:", count)

0

af2dccf910778c1f8687b312a34eabc6f703bd55

328

py

Python

app/config.py

Mehranalam/Emoji

2f6fbc554589f05e599239b48a4ee0ab445071da

[ "MIT" ]

3

2022-01-16T05:08:25.000Z

2022-02-17T07:39:12.000Z

app/config.py

Mehranalam/Emoji

2f6fbc554589f05e599239b48a4ee0ab445071da

[ "MIT" ]

null

app/config.py

Mehranalam/Emoji

2f6fbc554589f05e599239b48a4ee0ab445071da

[ "MIT" ]

1

2022-01-22T13:17:33.000Z

""" Donate to Createor : { just follow me on github and star to this project } """ # complement this fields

16.4

48

0.704268

""" Donate to Createor : { just follow me on github and star to this project } """ class configBot(): GROUP_NAME = "YOUR_GROUP_NAME" SESSION_NAME = "YOUR_SESSION_NAME" API_ID = "YOUR_API_ID" API_HASH = "YOUR_API_HASH" BOT_TOKEN = "BOT_TOKEN" WELCOMING_PASSED = "PASSED_MASSEAGE" # complement this fields

0

180

23

b22343d97b25c2391d780a533d3c31468e2929e7

1,973

py

Python

PizzaHat/bot.py

alexyy802/PizzaHat

ab544c9928bebcb3d6fe418c2753edd1d4f4dfc6

[ "Apache-2.0" ]

1

2021-12-06T23:38:26.000Z

PizzaHat/bot.py

alexyy802/PizzaHat

ab544c9928bebcb3d6fe418c2753edd1d4f4dfc6

[ "Apache-2.0" ]

null

PizzaHat/bot.py

alexyy802/PizzaHat

ab544c9928bebcb3d6fe418c2753edd1d4f4dfc6

[ "Apache-2.0" ]

null

import discord from discord.ext import commands import asyncpg import datetime from dotenv import load_dotenv import os load_dotenv('.env') INITIAL_EXTENSIONS = [ 'cogs.dev', 'cogs.events', 'cogs.fun', 'cogs.games', 'cogs.help', 'cogs.image', 'cogs.mod', 'cogs.utility' ] bot = PizzaHat() if __name__ == '__main__': bot.run()

31.31746

124

0.603649

import discord from discord.ext import commands import asyncpg import datetime from dotenv import load_dotenv import os load_dotenv('.env') INITIAL_EXTENSIONS = [ 'cogs.dev', 'cogs.events', 'cogs.fun', 'cogs.games', 'cogs.help', 'cogs.image', 'cogs.mod', 'cogs.utility' ] class PizzaHat(commands.Bot): def __init__(self): super().__init__( command_prefix=commands.when_mentioned_or('p!','P!'), intents=discord.Intents.all(), case_insensitive=True, strip_after_prefix=True, activity=discord.Activity(type=discord.ActivityType.watching, name='dsc.gg/pizza-invite | discord.gg/WhNVDTF'), mentions=discord.AllowedMentions(everyone=False, roles=False, users=True, replied_user=True) ) self._BotBase__cogs = commands.core._CaseInsensitiveDict() self.yes = '<:yes:813819712953647206>' self.no = '<:no:829841023445631017>' self.color = discord.Color.blue() self.christmas = discord.Color.red() self.token = os.environ['token'] self.loop.run_until_complete(self.create_db_pool()) for extension in INITIAL_EXTENSIONS: try: self.load_extension(extension) except Exception as e: print('Failed to load extension {}\n{}: {}'.format( extension, type(e).__name__, e)) async def on_ready(self): if not hasattr(self, 'uptime'): self.uptime = datetime.datetime.utcnow() print('Bot online') async def create_db_pool(self): self.db = await asyncpg.create_pool(database="PizzaHat", user="postgres", password=os.getenv('PG_PASS')) async def close(self): await super().close() def run(self): super().run(self.token, reconnect=True) bot = PizzaHat() if __name__ == '__main__': bot.run()

1,405

8

172

b8fa7a10579f9d489fdc7c485b64a1be798e2fae

6,671

py

Python

WaveBlocksND/HagedornBasisEvaluationPhi.py

raoulbq/WaveBlocksND

225b5dd9b1af1998bd40b5f6467ee959292b6a83

[ "BSD-3-Clause" ]

3

2016-09-01T21:13:54.000Z

2020-03-23T15:45:32.000Z

WaveBlocksND/HagedornBasisEvaluationPhi.py

raoulbq/WaveBlocksND

225b5dd9b1af1998bd40b5f6467ee959292b6a83

[ "BSD-3-Clause" ]

null

WaveBlocksND/HagedornBasisEvaluationPhi.py

raoulbq/WaveBlocksND

225b5dd9b1af1998bd40b5f6467ee959292b6a83

[ "BSD-3-Clause" ]

6

2016-03-16T15:22:01.000Z

2021-03-13T14:06:54.000Z

"""The WaveBlocks Project The basic common algorithms for evaluation Hagedorn basis functions of the old kind. @author: R. Bourquin @copyright: Copyright (C) 2016 R. Bourquin @license: Modified BSD License """ from numpy import complexfloating, dot, vstack, zeros, conjugate from scipy import sqrt from scipy.linalg import det, inv from WaveBlocksND.HagedornBasisEvaluationCommon import HagedornBasisEvaluationCommon __all__ = ["HagedornBasisEvaluationPhi"] class HagedornBasisEvaluationPhi(HagedornBasisEvaluationCommon): r""" """ def evaluate_basis_at(self, grid, component, *, prefactor=False): r"""Evaluate the basis functions :math:`\phi_k` recursively at the given nodes :math:`\gamma`. :param grid: The grid :math:`\Gamma` containing the nodes :math:`\gamma`. :type grid: A class having a :py:meth:`get_nodes(...)` method. :param component: The index :math:`i` of a single component :math:`\Phi_i` to evaluate. :param prefactor: Whether to include a factor of :math:`\frac{1}{\sqrt{\det(Q)}}`. :type prefactor: Boolean, default is ``False``. :return: A two-dimensional ndarray :math:`H` of shape :math:`(|\mathfrak{K}_i|, |\Gamma|)` where the entry :math:`H[\mu(k), i]` is the value of :math:`\phi_k(\gamma_i)`. """ D = self._dimension bas = self._basis_shapes[component] bs = self._basis_sizes[component] # The grid grid = self._grid_wrap(grid) nodes = grid.get_nodes() nn = grid.get_number_nodes(overall=True) # Allocate the storage array phi = zeros((bs, nn), dtype=complexfloating) # Precompute some constants Pi = self.get_parameters(component=component) q, p, Q, P, _ = Pi Qinv = inv(Q) Qbar = conjugate(Q) QQ = dot(Qinv, Qbar) # Compute the ground state phi_0 via direct evaluation mu0 = bas[tuple(D * [0])] phi[mu0, :] = self._evaluate_phi0(component, nodes, prefactor=False) # Compute all higher order states phi_k via recursion for d in range(D): # Iterator for all valid index vectors k indices = bas.get_node_iterator(mode="chain", direction=d) for k in indices: # Current index vector ki = vstack(k) # Access predecessors phim = zeros((D, nn), dtype=complexfloating) for j, kpj in bas.get_neighbours(k, selection="backward"): mukpj = bas[kpj] phim[j, :] = phi[mukpj, :] # Compute 3-term recursion p1 = (nodes - q) * phi[bas[k], :] p2 = sqrt(ki) * phim t1 = sqrt(2.0 / self._eps**2) * dot(Qinv[d, :], p1) t2 = dot(QQ[d, :], p2) # Find multi-index where to store the result kped = bas.get_neighbours(k, selection="forward", direction=d) # Did we find this k? if len(kped) > 0: kped = kped[0] # Store computed value phi[bas[kped[1]], :] = (t1 - t2) / sqrt(ki[d] + 1.0) if prefactor is True: phi = phi / self._get_sqrt(component)(det(Q)) return phi def slim_recursion(self, grid, component, *, prefactor=False): r"""Evaluate the Hagedorn wavepacket :math:`\Psi` at the given nodes :math:`\gamma`. This routine is a slim version compared to the full basis evaluation. At every moment we store only the data we really need to compute the next step until we hit the highest order basis functions. :param grid: The grid :math:`\Gamma` containing the nodes :math:`\gamma`. :type grid: A class having a :py:meth:`get_nodes(...)` method. :param component: The index :math:`i` of a single component :math:`\Phi_i` to evaluate. :param prefactor: Whether to include a factor of :math:`\frac{1}{\sqrt{\det(Q)}}`. :type prefactor: Boolean, default is ``False``. :return: A list of arrays or a single array containing the values of the :math:`\Phi_i` at the nodes :math:`\gamma`. Note that this function does not include the global phase :math:`\exp(\frac{i S}{\varepsilon^2})`. """ D = self._dimension # Precompute some constants Pi = self.get_parameters(component=component) q, p, Q, P, _ = Pi Qinv = inv(Q) Qbar = conjugate(Q) QQ = dot(Qinv, Qbar) # The basis shape bas = self._basis_shapes[component] Z = tuple(D * [0]) # Book keeping todo = [] newtodo = [Z] olddelete = [] delete = [] tmp = {} # The grid nodes grid = self._grid_wrap(grid) nn = grid.get_number_nodes(overall=True) nodes = grid.get_nodes() # Evaluate phi0 tmp[Z] = self._evaluate_phi0(component, nodes, prefactor=False) psi = self._coefficients[component][bas[Z], 0] * tmp[Z] # Iterate for higher order states while len(newtodo) != 0: # Delete results that never will be used again for d in olddelete: del tmp[d] # Exchange queues todo = newtodo newtodo = [] olddelete = delete delete = [] # Compute new results for k in todo: # Center stencil at node k ki = vstack(k) # Access predecessors phim = zeros((D, nn), dtype=complexfloating) for j, kpj in bas.get_neighbours(k, selection="backward"): phim[j, :] = tmp[kpj] # Compute the neighbours for d, n in bas.get_neighbours(k, selection="forward"): if n not in tmp.keys(): # Compute 3-term recursion p1 = (nodes - q) * tmp[k] p2 = sqrt(ki) * phim t1 = sqrt(2.0 / self._eps**2) * dot(Qinv[d, :], p1) t2 = dot(QQ[d, :], p2) # Store computed value tmp[n] = (t1 - t2) / sqrt(ki[d] + 1.0) # And update the result psi = psi + self._coefficients[component][bas[n], 0] * tmp[n] newtodo.append(n) delete.append(k) if prefactor is True: psi = psi / self._get_sqrt(component)(det(Q)) return psi

35.296296

106

0.546695

"""The WaveBlocks Project The basic common algorithms for evaluation Hagedorn basis functions of the old kind. @author: R. Bourquin @copyright: Copyright (C) 2016 R. Bourquin @license: Modified BSD License """ from numpy import complexfloating, dot, vstack, zeros, conjugate from scipy import sqrt from scipy.linalg import det, inv from WaveBlocksND.HagedornBasisEvaluationCommon import HagedornBasisEvaluationCommon __all__ = ["HagedornBasisEvaluationPhi"] class HagedornBasisEvaluationPhi(HagedornBasisEvaluationCommon): r""" """ def evaluate_basis_at(self, grid, component, *, prefactor=False): r"""Evaluate the basis functions :math:`\phi_k` recursively at the given nodes :math:`\gamma`. :param grid: The grid :math:`\Gamma` containing the nodes :math:`\gamma`. :type grid: A class having a :py:meth:`get_nodes(...)` method. :param component: The index :math:`i` of a single component :math:`\Phi_i` to evaluate. :param prefactor: Whether to include a factor of :math:`\frac{1}{\sqrt{\det(Q)}}`. :type prefactor: Boolean, default is ``False``. :return: A two-dimensional ndarray :math:`H` of shape :math:`(|\mathfrak{K}_i|, |\Gamma|)` where the entry :math:`H[\mu(k), i]` is the value of :math:`\phi_k(\gamma_i)`. """ D = self._dimension bas = self._basis_shapes[component] bs = self._basis_sizes[component] # The grid grid = self._grid_wrap(grid) nodes = grid.get_nodes() nn = grid.get_number_nodes(overall=True) # Allocate the storage array phi = zeros((bs, nn), dtype=complexfloating) # Precompute some constants Pi = self.get_parameters(component=component) q, p, Q, P, _ = Pi Qinv = inv(Q) Qbar = conjugate(Q) QQ = dot(Qinv, Qbar) # Compute the ground state phi_0 via direct evaluation mu0 = bas[tuple(D * [0])] phi[mu0, :] = self._evaluate_phi0(component, nodes, prefactor=False) # Compute all higher order states phi_k via recursion for d in range(D): # Iterator for all valid index vectors k indices = bas.get_node_iterator(mode="chain", direction=d) for k in indices: # Current index vector ki = vstack(k) # Access predecessors phim = zeros((D, nn), dtype=complexfloating) for j, kpj in bas.get_neighbours(k, selection="backward"): mukpj = bas[kpj] phim[j, :] = phi[mukpj, :] # Compute 3-term recursion p1 = (nodes - q) * phi[bas[k], :] p2 = sqrt(ki) * phim t1 = sqrt(2.0 / self._eps**2) * dot(Qinv[d, :], p1) t2 = dot(QQ[d, :], p2) # Find multi-index where to store the result kped = bas.get_neighbours(k, selection="forward", direction=d) # Did we find this k? if len(kped) > 0: kped = kped[0] # Store computed value phi[bas[kped[1]], :] = (t1 - t2) / sqrt(ki[d] + 1.0) if prefactor is True: phi = phi / self._get_sqrt(component)(det(Q)) return phi def slim_recursion(self, grid, component, *, prefactor=False): r"""Evaluate the Hagedorn wavepacket :math:`\Psi` at the given nodes :math:`\gamma`. This routine is a slim version compared to the full basis evaluation. At every moment we store only the data we really need to compute the next step until we hit the highest order basis functions. :param grid: The grid :math:`\Gamma` containing the nodes :math:`\gamma`. :type grid: A class having a :py:meth:`get_nodes(...)` method. :param component: The index :math:`i` of a single component :math:`\Phi_i` to evaluate. :param prefactor: Whether to include a factor of :math:`\frac{1}{\sqrt{\det(Q)}}`. :type prefactor: Boolean, default is ``False``. :return: A list of arrays or a single array containing the values of the :math:`\Phi_i` at the nodes :math:`\gamma`. Note that this function does not include the global phase :math:`\exp(\frac{i S}{\varepsilon^2})`. """ D = self._dimension # Precompute some constants Pi = self.get_parameters(component=component) q, p, Q, P, _ = Pi Qinv = inv(Q) Qbar = conjugate(Q) QQ = dot(Qinv, Qbar) # The basis shape bas = self._basis_shapes[component] Z = tuple(D * [0]) # Book keeping todo = [] newtodo = [Z] olddelete = [] delete = [] tmp = {} # The grid nodes grid = self._grid_wrap(grid) nn = grid.get_number_nodes(overall=True) nodes = grid.get_nodes() # Evaluate phi0 tmp[Z] = self._evaluate_phi0(component, nodes, prefactor=False) psi = self._coefficients[component][bas[Z], 0] * tmp[Z] # Iterate for higher order states while len(newtodo) != 0: # Delete results that never will be used again for d in olddelete: del tmp[d] # Exchange queues todo = newtodo newtodo = [] olddelete = delete delete = [] # Compute new results for k in todo: # Center stencil at node k ki = vstack(k) # Access predecessors phim = zeros((D, nn), dtype=complexfloating) for j, kpj in bas.get_neighbours(k, selection="backward"): phim[j, :] = tmp[kpj] # Compute the neighbours for d, n in bas.get_neighbours(k, selection="forward"): if n not in tmp.keys(): # Compute 3-term recursion p1 = (nodes - q) * tmp[k] p2 = sqrt(ki) * phim t1 = sqrt(2.0 / self._eps**2) * dot(Qinv[d, :], p1) t2 = dot(QQ[d, :], p2) # Store computed value tmp[n] = (t1 - t2) / sqrt(ki[d] + 1.0) # And update the result psi = psi + self._coefficients[component][bas[n], 0] * tmp[n] newtodo.append(n) delete.append(k) if prefactor is True: psi = psi / self._get_sqrt(component)(det(Q)) return psi

0

45da6e5c720cded5d5fb12ac3b7741e6077ab544

981

py

Python

server/gestion/models/orderRando.py

JetLightStudio/Jet-Gest-stock-management

333cbc3dd1b379f53f67250fbd581cbce8e20ca8

[ "MIT" ]

1

2021-08-18T18:53:02.000Z

server/gestion/models/orderRando.py

JetLightStudio/Jet-Gest-stock-management

333cbc3dd1b379f53f67250fbd581cbce8e20ca8

[ "MIT" ]

null

server/gestion/models/orderRando.py

JetLightStudio/Jet-Gest-stock-management

333cbc3dd1b379f53f67250fbd581cbce8e20ca8

[ "MIT" ]

1

2021-08-04T23:53:52.000Z

from datetime import datetime from django.db import models from django.conf import settings from django.core.validators import MaxValueValidator, MinValueValidator from django.db.models.signals import post_save from django.dispatch import receiver from serverConfig.models.gestionParams import GestionParam from gestion.models.client import Client from computedfields.models import ComputedFieldsModel, computed

35.035714

94

0.769623

from datetime import datetime from django.db import models from django.conf import settings from django.core.validators import MaxValueValidator, MinValueValidator from django.db.models.signals import post_save from django.dispatch import receiver from serverConfig.models.gestionParams import GestionParam from gestion.models.client import Client from computedfields.models import ComputedFieldsModel, computed class OrderRando(ComputedFieldsModel): seller = models.ForeignKey(settings.AUTH_USER_MODEL, null=True, on_delete=models.CASCADE) client = models.CharField(max_length=40, blank=False, null=False) creationDate = models.DateTimeField(default=datetime.now, blank=False) total = models.FloatField(default=0) def orderList(self): from .productRandoOrder import ProductRandoOrder return ProductRandoOrder.objects.filter(order=self) def __str__(self): return "#BONPOUR" + str(self.id).zfill(7)

166

362

24

5dfbc25fa139beaf44702988ff3b331c046b4a4f

2,913

py

Python

Pong/pong.py

Grantlee11/PyPong

af5c2cf41b361a9f91b5f3b43fbb5eec9e6a771b

[ "MIT" ]

null

Pong/pong.py

Grantlee11/PyPong

af5c2cf41b361a9f91b5f3b43fbb5eec9e6a771b

[ "MIT" ]

null

Pong/pong.py

Grantlee11/PyPong

af5c2cf41b361a9f91b5f3b43fbb5eec9e6a771b

[ "MIT" ]

null

# Simple PyPong in Python 3 import turtle window = turtle.Screen() window.title("PyPong by Grantlee11") window.bgcolor("black") window.setup(width = 800, height = 600) window.tracer(0) # Score scoreA = 0 scoreB = 0 # Paddle A paddleA = turtle.Turtle() paddleA.speed(0) paddleA.shape("square") paddleA.color("white") paddleA.shapesize(stretch_wid = 5, stretch_len = 1) paddleA.penup() paddleA.goto(-350, 0) # Paddle B paddleB = turtle.Turtle() paddleB.speed(0) paddleB.shape("square") paddleB.color("white") paddleB.shapesize(stretch_wid = 5, stretch_len = 1) paddleB.penup() paddleB.goto(350, 0) # Ball ball = turtle.Turtle() ball.speed(0) ball.shape("square") ball.color("white") ball.penup() ball.goto(0, 0) # These numbers are computer specific, if you use this code you may need to change this on your computer as it controls the speed of the ball ball.dx = 0.1 ball.dy = 0.1 # Pen pen = turtle.Turtle() pen.speed(0) pen.color("white") pen.penup() pen.hideturtle() pen.goto(0, 260) pen.write("Player A: 0 Player B: 0", align = "center", font = ("Courier", 24, "normal")) # Functions # Keyboard binding window.listen() window.onkeypress(paddleAUp, "w") window.onkeypress(paddleADown, "s") window.onkeypress(paddleBUp, "Up") window.onkeypress(paddleBDown, "Down") # Main game loop while True: window.update() # Move the ball ball.setx(ball.xcor() + ball.dx) ball.sety(ball.ycor() + ball.dy) # Border checking if ball.ycor() > 290: ball.sety(290) ball.dy *= -1 if ball.ycor() < -290: ball.sety(-290) ball.dy *= -1 if ball.xcor() > 390: ball.goto(0, 0) ball.dx *= -1 scoreA += 1 pen.clear() pen.write("Player A: {} Player B: {}".format(scoreA, scoreB), align = "center", font = ("Courier", 24, "normal")) if ball.xcor() < -390: ball.goto(0, 0) ball.dx *= -1 scoreB += 1 pen.clear() pen.write("Player A: {} Player B: {}".format(scoreA, scoreB), align = "center", font = ("Courier", 24, "normal")) # Paddle and ball collisions if (ball.xcor() > 340 and ball.xcor() < 350) and (ball.ycor() < paddleB.ycor() + 40 and ball.ycor() > paddleB.ycor() - 40): ball.setx(340) ball.dx *= -1 if (ball.xcor() < -340 and ball.xcor() > -350) and (ball.ycor() < paddleA.ycor() + 40 and ball.ycor() > paddleA.ycor() - 40): ball.setx(-340) ball.dx *= -1

20.370629

141

0.599725

# Simple PyPong in Python 3 import turtle window = turtle.Screen() window.title("PyPong by Grantlee11") window.bgcolor("black") window.setup(width = 800, height = 600) window.tracer(0) # Score scoreA = 0 scoreB = 0 # Paddle A paddleA = turtle.Turtle() paddleA.speed(0) paddleA.shape("square") paddleA.color("white") paddleA.shapesize(stretch_wid = 5, stretch_len = 1) paddleA.penup() paddleA.goto(-350, 0) # Paddle B paddleB = turtle.Turtle() paddleB.speed(0) paddleB.shape("square") paddleB.color("white") paddleB.shapesize(stretch_wid = 5, stretch_len = 1) paddleB.penup() paddleB.goto(350, 0) # Ball ball = turtle.Turtle() ball.speed(0) ball.shape("square") ball.color("white") ball.penup() ball.goto(0, 0) # These numbers are computer specific, if you use this code you may need to change this on your computer as it controls the speed of the ball ball.dx = 0.1 ball.dy = 0.1 # Pen pen = turtle.Turtle() pen.speed(0) pen.color("white") pen.penup() pen.hideturtle() pen.goto(0, 260) pen.write("Player A: 0 Player B: 0", align = "center", font = ("Courier", 24, "normal")) # Functions def paddleAUp(): y = paddleA.ycor() if paddleA.ycor() < 260: y += 20 paddleA.sety(y) def paddleADown(): y = paddleA.ycor() if paddleA.ycor() > -260: y -= 20 paddleA.sety(y) def paddleBUp(): y = paddleB.ycor() if paddleB.ycor() < 260: y += 20 paddleB.sety(y) def paddleBDown(): y = paddleB.ycor() if paddleB.ycor() > -260: y -= 20 paddleB.sety(y) # Keyboard binding window.listen() window.onkeypress(paddleAUp, "w") window.onkeypress(paddleADown, "s") window.onkeypress(paddleBUp, "Up") window.onkeypress(paddleBDown, "Down") # Main game loop while True: window.update() # Move the ball ball.setx(ball.xcor() + ball.dx) ball.sety(ball.ycor() + ball.dy) # Border checking if ball.ycor() > 290: ball.sety(290) ball.dy *= -1 if ball.ycor() < -290: ball.sety(-290) ball.dy *= -1 if ball.xcor() > 390: ball.goto(0, 0) ball.dx *= -1 scoreA += 1 pen.clear() pen.write("Player A: {} Player B: {}".format(scoreA, scoreB), align = "center", font = ("Courier", 24, "normal")) if ball.xcor() < -390: ball.goto(0, 0) ball.dx *= -1 scoreB += 1 pen.clear() pen.write("Player A: {} Player B: {}".format(scoreA, scoreB), align = "center", font = ("Courier", 24, "normal")) # Paddle and ball collisions if (ball.xcor() > 340 and ball.xcor() < 350) and (ball.ycor() < paddleB.ycor() + 40 and ball.ycor() > paddleB.ycor() - 40): ball.setx(340) ball.dx *= -1 if (ball.xcor() < -340 and ball.xcor() > -350) and (ball.ycor() < paddleA.ycor() + 40 and ball.ycor() > paddleA.ycor() - 40): ball.setx(-340) ball.dx *= -1

338

0

91

ac3d3e180986a17fca6dc21810f6f92611cd25d5

3,317

py

Python

tests/test_types.py

alexcrichton/wasmtime-py

90ba6da0a0c5e8a13bdc28c019330f71067823df

[ "Apache-2.0" ]

4

2020-03-25T20:55:29.000Z

2020-03-26T08:57:43.000Z

tests/test_types.py

alexcrichton/wasmtime-py

90ba6da0a0c5e8a13bdc28c019330f71067823df

[ "Apache-2.0" ]

null

tests/test_types.py

alexcrichton/wasmtime-py

90ba6da0a0c5e8a13bdc28c019330f71067823df

[ "Apache-2.0" ]

null

import unittest from wasmtime import *

33.505051

65

0.59391

import unittest from wasmtime import * class TestTypes(unittest.TestCase): def test_valtype(self): i32 = ValType.i32() i64 = ValType.i64() f32 = ValType.f32() f64 = ValType.f64() anyref = ValType.anyref() funcref = ValType.funcref() self.assertEqual(i32, i32) self.assertNotEqual(i32, f32) self.assertNotEqual(i32, 1.0) self.assertEqual(i32, ValType.i32()) self.assertEqual(str(i32), 'i32') self.assertEqual(str(i64), 'i64') self.assertEqual(str(f32), 'f32') self.assertEqual(str(f64), 'f64') self.assertEqual(str(anyref), 'anyref') self.assertEqual(str(funcref), 'funcref') def test_func_type(self): ty = FuncType([], []) self.assertEqual([], ty.params()) self.assertEqual([], ty.results()) ty = FuncType([ValType.i32()], [ValType.i64()]) self.assertEqual([ValType.i32()], ty.params()) self.assertEqual([ValType.i64()], ty.results()) self.assertTrue(ty.as_extern().func_type() is not None) self.assertTrue(ty.as_extern().global_type() is None) GlobalType(ty.params()[0], True) def test_global_type(self): ty = GlobalType(ValType.i32(), True) self.assertTrue(ty.mutable()) self.assertEqual(ty.content(), ValType.i32()) ty = GlobalType(ValType.i64(), False) self.assertFalse(ty.mutable()) self.assertEqual(ty.content(), ValType.i64()) self.assertTrue(ty.as_extern().global_type() is not None) self.assertTrue(ty.as_extern().func_type() is None) def test_table_type(self): ty = TableType(ValType.i32(), Limits(1, None)) self.assertEqual(ty.element(), ValType.i32()) self.assertEqual(ty.limits(), Limits(1, None)) ty = TableType(ValType.f32(), Limits(1, 2)) self.assertEqual(ty.element(), ValType.f32()) self.assertEqual(ty.limits(), Limits(1, 2)) self.assertTrue(ty.as_extern().table_type() is not None) self.assertTrue(ty.as_extern().memory_type() is None) def test_memory_type(self): ty = MemoryType(Limits(1, None)) self.assertEqual(ty.limits(), Limits(1, None)) ty = MemoryType(Limits(1, 2)) self.assertEqual(ty.limits(), Limits(1, 2)) self.assertTrue(ty.as_extern().memory_type() is not None) self.assertTrue(ty.as_extern().table_type() is None) def test_invalid(self): with self.assertRaises(TypeError): MemoryType(1) with self.assertRaises(TypeError): TableType(1) with self.assertRaises(TypeError): TableType(ValType.i32()) ty = ValType.i32() TableType(ty, Limits(1, None)) TableType(ty, Limits(1, None)) ty = ValType.i32() TableType(ty, Limits(1, None)) GlobalType(ty, True) with self.assertRaises(TypeError): GlobalType(1, True) with self.assertRaises(TypeError): FuncType([1], []) with self.assertRaises(TypeError): FuncType([], [2]) ty = ValType.i32() TableType(ty, Limits(1, None)) FuncType([ty], []) FuncType([], [ty]) with self.assertRaises(RuntimeError): ValType()

3,078

14

184

929bb8c6c049704512bd15ad70f453b83423c37d

2,075

py

Python

examples/moderate/moderate.py

dneural/python-nullnude

1035d1a23d9d6a7a93b9efac4bdc99c13a8b92f4

[ "X11" ]

1

2016-05-31T09:05:38.000Z

examples/moderate/moderate.py

dneural/python-nullnude

1035d1a23d9d6a7a93b9efac4bdc99c13a8b92f4

[ "X11" ]

null

examples/moderate/moderate.py

dneural/python-nullnude

1035d1a23d9d6a7a93b9efac4bdc99c13a8b92f4

[ "X11" ]

null

#!/usr/bin/env python # -*- encoding: utf-8 -*- # # Copyright (c) 2015, dNeural.com # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. # # Except as contained in this notice, the name of dNeural and or its trademarks # (and among others NullNude) shall not be used in advertising or otherwise to # promote the sale, use or other dealings in this Software without prior # written authorization from dNeural. from nullnude import Nullnude api_key = 'your_api_key' api_secret = 'your_api_secret' images = [ 'https://nullnude.com/wp-content/uploads/2016/01/vintage_porn_1.jpg', 'https://nullnude.com/wp-content/uploads/2016/01/vintage_porn_2.jpg', 'https://nullnude.com/wp-content/uploads/2016/01/vintage_porn_3.jpg', '../bird.jpg' ] # Create the NullNude SDK interface nullnude = Nullnude(api_key, api_secret) # Call the Nullnude servers to check for nudity. You can either pass a public URL or a local path. for image in images: output = nullnude.moderate.image(image) print ('url: %s moderated as: %s' % (output.url, output.moderated_url))

42.346939

98

0.758554

#!/usr/bin/env python # -*- encoding: utf-8 -*- # # Copyright (c) 2015, dNeural.com # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. # # Except as contained in this notice, the name of dNeural and or its trademarks # (and among others NullNude) shall not be used in advertising or otherwise to # promote the sale, use or other dealings in this Software without prior # written authorization from dNeural. from nullnude import Nullnude api_key = 'your_api_key' api_secret = 'your_api_secret' images = [ 'https://nullnude.com/wp-content/uploads/2016/01/vintage_porn_1.jpg', 'https://nullnude.com/wp-content/uploads/2016/01/vintage_porn_2.jpg', 'https://nullnude.com/wp-content/uploads/2016/01/vintage_porn_3.jpg', '../bird.jpg' ] # Create the NullNude SDK interface nullnude = Nullnude(api_key, api_secret) # Call the Nullnude servers to check for nudity. You can either pass a public URL or a local path. for image in images: output = nullnude.moderate.image(image) print ('url: %s moderated as: %s' % (output.url, output.moderated_url))

0

8c012d95d514c2b11377fbe82f7ae8f1e7c9c04c

15,265

py

Python

DQMOffline/Trigger/python/SusyMonitoring_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

DQMOffline/Trigger/python/SusyMonitoring_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

DQMOffline/Trigger/python/SusyMonitoring_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

import FWCore.ParameterSet.Config as cms from DQMOffline.Trigger.RazorMonitor_cff import * from DQMOffline.Trigger.VBFSUSYMonitor_cff import * from DQMOffline.Trigger.LepHTMonitor_cff import * from DQMOffline.Trigger.susyHLTEleCaloJets_cff import * from DQMOffline.Trigger.SoftMuHardJetMETSUSYMonitor_cff import * from DQMOffline.Trigger.TopMonitor_cfi import hltTOPmonitoring # muon double_soft_muon_muonpt = hltTOPmonitoring.clone() double_soft_muon_muonpt.FolderName = cms.string('HLT/SUSY/SOS/Muon/') # Selections double_soft_muon_muonpt.nmuons = cms.uint32(2) double_soft_muon_muonpt.HTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_muonpt.HTcut = cms.double(60) double_soft_muon_muonpt.enableMETPlot = True double_soft_muon_muonpt.metSelection =cms.string('pt>150') double_soft_muon_muonpt.MHTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_muonpt.MHTcut = cms.double(150) double_soft_muon_muonpt.invMassUppercut = cms.double(50) double_soft_muon_muonpt.invMassLowercut = cms.double(10) # Binning double_soft_muon_muonpt.histoPSet.muPtBinning =cms.vdouble(0,2,5,7,10,12,15,17,20,25,30,50) double_soft_muon_muonpt.histoPSet.muPtBinning2D =cms.vdouble(0,2,5,7,10,12,15,17,20,25,30,50) # Triggers double_soft_muon_muonpt.numGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_DoubleMu3_DZ_PFMET50_PFMHT60_v*') double_soft_muon_muonpt.denGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_PFMET140_PFMHT140_v*') # met double_soft_muon_metpt = hltTOPmonitoring.clone() double_soft_muon_metpt.FolderName = cms.string('HLT/SUSY/SOS/MET/') # Selections double_soft_muon_metpt.nmuons = cms.uint32(2) double_soft_muon_metpt.HTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_metpt.HTcut = cms.double(60) double_soft_muon_metpt.muoSelection =cms.string('pt>18 & abs(eta)<2.4') double_soft_muon_metpt.MHTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_metpt.MHTcut = cms.double(150) double_soft_muon_metpt.invMassUppercut = cms.double(50) double_soft_muon_metpt.invMassLowercut = cms.double(10) double_soft_muon_metpt.enableMETPlot = True # Binning double_soft_muon_metpt.histoPSet.metPSet =cms.PSet(nbins=cms.uint32(50),xmin=cms.double(50),xmax=cms.double(300) ) # Triggers double_soft_muon_metpt.numGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_DoubleMu3_DZ_PFMET50_PFMHT60_v*') double_soft_muon_metpt.denGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_DZ_v*') # inv Mass double_soft_muon_mll = hltTOPmonitoring.clone() double_soft_muon_mll.FolderName = cms.string('HLT/SUSY/SOS/Mll/') # Selections double_soft_muon_mll.nmuons = cms.uint32(2) double_soft_muon_mll.HTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_mll.HTcut = cms.double(60) double_soft_muon_mll.muoSelection =cms.string('pt>10 & abs(eta)<2.4') double_soft_muon_mll.MHTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_mll.MHTcut = cms.double(150) double_soft_muon_mll.enableMETPlot = True double_soft_muon_mll.metSelection = cms.string('pt>150') # Binning double_soft_muon_mll.histoPSet.invMassVariableBinning =cms.vdouble(8,12,15,20,25,30,35,40,45,47,50,60) # Triggers double_soft_muon_mll.numGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_DoubleMu3_DZ_PFMET50_PFMHT60_v*') double_soft_muon_mll.denGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_Dimuon12_Upsilon_eta1p5_v*') # mht double_soft_muon_mhtpt = hltTOPmonitoring.clone() double_soft_muon_mhtpt.FolderName = cms.string('HLT/SUSY/SOS/MHT/') # Selections double_soft_muon_mhtpt.nmuons = cms.uint32(2) double_soft_muon_mhtpt.HTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_mhtpt.HTcut = cms.double(60) double_soft_muon_mhtpt.muoSelection =cms.string('pt>18 & abs(eta)<2.0') double_soft_muon_mhtpt.MHTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_mhtpt.enableMETPlot = True double_soft_muon_mhtpt.metSelection = cms.string('pt>150') double_soft_muon_mhtpt.invMassUppercut = cms.double(50) double_soft_muon_mhtpt.invMassLowercut = cms.double(10) # Binning double_soft_muon_mhtpt.histoPSet.MHTVariableBinning =cms.vdouble(50,60,70,80,90,100,110,120,130,150,200,300) # Triggers double_soft_muon_mhtpt.numGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_DoubleMu3_DZ_PFMET50_PFMHT60_v*') double_soft_muon_mhtpt.denGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_DZ_v*') # backup1, met double_soft_muon_backup_70_metpt = hltTOPmonitoring.clone() double_soft_muon_backup_70_metpt.FolderName = cms.string('HLT/SUSY/SOS/backup70/MET/') # Selections double_soft_muon_backup_70_metpt.nmuons = cms.uint32(2) double_soft_muon_backup_70_metpt.HTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_backup_70_metpt.HTcut = cms.double(60) double_soft_muon_backup_70_metpt.muoSelection =cms.string('pt>18 & abs(eta)<2.4') double_soft_muon_backup_70_metpt.MHTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_backup_70_metpt.MHTcut = cms.double(150) double_soft_muon_backup_70_metpt.invMassUppercut = cms.double(50) double_soft_muon_backup_70_metpt.invMassLowercut = cms.double(10) double_soft_muon_backup_70_metpt.enableMETPlot = True # Binning double_soft_muon_backup_70_metpt.histoPSet.metPSet =cms.PSet(nbins=cms.uint32(50),xmin=cms.double(50),xmax=cms.double(300) ) # Triggers double_soft_muon_backup_70_metpt.numGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_DoubleMu3_DZ_PFMET70_PFMHT70_v*') double_soft_muon_backup_70_metpt.denGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_DZ_v*') # backup1, mht double_soft_muon_backup_70_mhtpt = hltTOPmonitoring.clone() double_soft_muon_backup_70_mhtpt.FolderName = cms.string('HLT/SUSY/SOS/backup70/MHT/') # Selections double_soft_muon_backup_70_mhtpt.nmuons = cms.uint32(2) double_soft_muon_backup_70_mhtpt.HTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_backup_70_mhtpt.HTcut = cms.double(60) double_soft_muon_backup_70_mhtpt.muoSelection =cms.string('pt>18 & abs(eta)<2.0') double_soft_muon_backup_70_mhtpt.MHTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_backup_70_mhtpt.enableMETPlot = True double_soft_muon_backup_70_mhtpt.metSelection = cms.string('pt>150') double_soft_muon_backup_70_mhtpt.invMassUppercut = cms.double(50) double_soft_muon_backup_70_mhtpt.invMassLowercut = cms.double(10) # Binning double_soft_muon_backup_70_mhtpt.histoPSet.MHTVariableBinning =cms.vdouble(50,60,70,80,90,100,110,120,130,150,200,300) # Triggers double_soft_muon_backup_70_mhtpt.numGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_DoubleMu3_DZ_PFMET70_PFMHT70_v*') double_soft_muon_backup_70_mhtpt.denGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_DZ_v*') # backup2, met double_soft_muon_backup_90_metpt = hltTOPmonitoring.clone() double_soft_muon_backup_90_metpt.FolderName = cms.string('HLT/SUSY/SOS/backup90/MET/') # Selections double_soft_muon_backup_90_metpt.nmuons = cms.uint32(2) double_soft_muon_backup_90_metpt.HTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_backup_90_metpt.HTcut = cms.double(60) double_soft_muon_backup_90_metpt.muoSelection =cms.string('pt>18 & abs(eta)<2.4') double_soft_muon_backup_90_metpt.MHTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_backup_90_metpt.MHTcut = cms.double(150) double_soft_muon_backup_90_metpt.invMassUppercut = cms.double(50) double_soft_muon_backup_90_metpt.invMassLowercut = cms.double(10) double_soft_muon_backup_90_metpt.enableMETPlot = True # Binning double_soft_muon_backup_90_metpt.histoPSet.metPSet =cms.PSet(nbins=cms.uint32(50),xmin=cms.double(50),xmax=cms.double(300) ) # Triggers double_soft_muon_backup_90_metpt.numGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_DoubleMu3_DZ_PFMET90_PFMHT90_v*') double_soft_muon_backup_90_metpt.denGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_DZ_v*') # backup2, mht double_soft_muon_backup_90_mhtpt = hltTOPmonitoring.clone() double_soft_muon_backup_90_mhtpt.FolderName = cms.string('HLT/SUSY/SOS/backup90/MHT/') # Selections double_soft_muon_backup_90_mhtpt.nmuons = cms.uint32(2) double_soft_muon_backup_90_mhtpt.HTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_backup_90_mhtpt.HTcut = cms.double(60) double_soft_muon_backup_90_mhtpt.muoSelection =cms.string('pt>18 & abs(eta)<2.0') double_soft_muon_backup_90_mhtpt.MHTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_backup_90_mhtpt.enableMETPlot = True double_soft_muon_backup_90_mhtpt.metSelection = cms.string('pt>150') double_soft_muon_backup_90_mhtpt.invMassUppercut = cms.double(50) double_soft_muon_backup_90_mhtpt.invMassLowercut = cms.double(10) # Binning double_soft_muon_backup_90_mhtpt.histoPSet.MHTVariableBinning =cms.vdouble(50,60,70,80,90,100,110,120,130,150,200,300) # Triggers double_soft_muon_backup_90_mhtpt.numGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_DoubleMu3_DZ_PFMET90_PFMHT90_v*') double_soft_muon_backup_90_mhtpt.denGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_DZ_v*') # triple muon triple_muon_mupt = hltTOPmonitoring.clone() triple_muon_mupt.FolderName = cms.string('HLT/SUSY/SOS/TripleMu/Muon') # Selections triple_muon_mupt.nmuons = cms.uint32(3) triple_muon_mupt.muoSelection =cms.string('isGlobalMuon()') triple_muon_mupt.invMassUppercut = cms.double(50) triple_muon_mupt.invMassLowercut = cms.double(10) triple_muon_mupt.invMassCutInAllMuPairs=cms.bool(True) # Triggers triple_muon_mupt.numGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_TripleMu_5_3_3_Mass3p8to60_DZ_v*') triple_muon_mupt.denGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_Trimuon5_3p5_2_Upsilon_Muon_v*') # triplemu dca triple_muon_dca_mupt = hltTOPmonitoring.clone() triple_muon_dca_mupt.FolderName = cms.string('HLT/SUSY/SOS/TripleMu/DCA/Muon') # Selections triple_muon_dca_mupt.nmuons = cms.uint32(3) triple_muon_dca_mupt.muoSelection =cms.string('isGlobalMuon()') triple_muon_dca_mupt.invMassUppercut = cms.double(50) triple_muon_dca_mupt.invMassLowercut = cms.double(10) triple_muon_dca_mupt.invMassCutInAllMuPairs=cms.bool(True) # Triggers triple_muon_dca_mupt.numGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_TripleMu_5_3_3_Mass3p8to60_DCA_v*') triple_muon_dca_mupt.denGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_Trimuon5_3p5_2_Upsilon_Muon_v*') # MuonEG susyMuEGMonitoring = hltTOPmonitoring.clone() susyMuEGMonitoring.FolderName = cms.string('HLT/SUSY/MuonEG/') susyMuEGMonitoring.nmuons = cms.uint32(1) susyMuEGMonitoring.nphotons = cms.uint32(1) susyMuEGMonitoring.nelectrons = cms.uint32(0) susyMuEGMonitoring.njets = cms.uint32(0) susyMuEGMonitoring.enablePhotonPlot = cms.bool(True) susyMuEGMonitoring.muoSelection = cms.string('pt>26 & abs(eta)<2.1 & isPFMuon & isGlobalMuon & isTrackerMuon & numberOfMatches>1 & innerTrack.hitPattern.trackerLayersWithMeasurement>5 & innerTrack.hitPattern.numberOfValidPixelHits>0 & globalTrack.hitPattern.numberOfValidMuonHits>0 & globalTrack.normalizedChi2<10 & (pfIsolationR04.sumChargedHadronPt + max(pfIsolationR04.sumNeutralHadronEt + pfIsolationR04.sumPhotonEt - (pfIsolationR04.sumPUPt)/2.,0.) )/pt<0.15') susyMuEGMonitoring.phoSelection = cms.string('(pt > 30 && abs(eta)<1.4442 && hadTowOverEm<0.0597 && full5x5_sigmaIetaIeta()<0.01031 && chargedHadronIso<1.295 && neutralHadronIso < 5.931+0.0163*pt+0.000014*pt*pt && photonIso < 6.641+0.0034*pt) || (pt > 30 && abs(eta)>1.4442 && hadTowOverEm<0.0481 && full5x5_sigmaIetaIeta()<0.03013 && chargedHadronIso<1.011 && neutralHadronIso < 1.715+0.0163*pt+0.000014*pt*pt && photonIso < 3.863+0.0034*pt)') susyMuEGMonitoring.numGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_Mu17_Photon30_IsoCaloId*') susyMuEGMonitoring.denGenericTriggerEventPSet.hltPaths = cms.vstring('') # muon dca double_soft_muon_dca_muonpt = hltTOPmonitoring.clone() double_soft_muon_dca_muonpt.FolderName = cms.string('HLT/SUSY/SOS/DCA/Muon/') # Selections double_soft_muon_dca_muonpt.nmuons = cms.uint32(2) double_soft_muon_dca_muonpt.HTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_dca_muonpt.HTcut = cms.double(60) double_soft_muon_dca_muonpt.enableMETPlot = True double_soft_muon_dca_muonpt.metSelection =cms.string('pt>150') double_soft_muon_dca_muonpt.MHTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_dca_muonpt.MHTcut = cms.double(150) double_soft_muon_dca_muonpt.invMassUppercut = cms.double(50) double_soft_muon_dca_muonpt.invMassLowercut = cms.double(10) # Binning double_soft_muon_dca_muonpt.histoPSet.muPtBinning =cms.vdouble(0,2,5,7,10,12,15,17,20,25,30,50) double_soft_muon_dca_muonpt.histoPSet.muPtBinning2D =cms.vdouble(0,2,5,7,10,12,15,17,20,25,30,50) # Triggers double_soft_muon_dca_muonpt.numGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_DoubleMu3_DCA_PFMET50_PFMHT60_v*') double_soft_muon_dca_muonpt.denGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_PFMET140_PFMHT140_v*') # met double_soft_muon_dca_metpt = hltTOPmonitoring.clone() double_soft_muon_dca_metpt.FolderName = cms.string('HLT/SUSY/SOS/DCA/MET/') # Selections double_soft_muon_dca_metpt.nmuons = cms.uint32(2) double_soft_muon_dca_metpt.HTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_dca_metpt.HTcut = cms.double(60) double_soft_muon_dca_metpt.muoSelection =cms.string('pt>18 & abs(eta)<2.4') double_soft_muon_dca_metpt.MHTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_dca_metpt.MHTcut = cms.double(150) double_soft_muon_dca_metpt.invMassUppercut = cms.double(50) double_soft_muon_dca_metpt.invMassLowercut = cms.double(10) double_soft_muon_dca_metpt.enableMETPlot = True # Binning double_soft_muon_dca_metpt.histoPSet.metPSet =cms.PSet(nbins=cms.uint32(50),xmin=cms.double(50),xmax=cms.double(300) ) # Triggers double_soft_muon_dca_metpt.numGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_DoubleMu3_DCA_PFMET50_PFMHT60_v*') double_soft_muon_dca_metpt.denGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_v*') susyMonitorHLT = cms.Sequence( susyHLTRazorMonitoring + susyHLTVBFMonitoring + LepHTMonitor + susyHLTEleCaloJets + double_soft_muon_muonpt + double_soft_muon_metpt + double_soft_muon_mhtpt + double_soft_muon_mll + double_soft_muon_backup_70_metpt + double_soft_muon_backup_70_mhtpt + double_soft_muon_backup_90_metpt + double_soft_muon_backup_90_mhtpt + triple_muon_mupt + triple_muon_dca_mupt + susyMuEGMonitoring + double_soft_muon_dca_muonpt + double_soft_muon_dca_metpt + susyHLTSoftMuHardJetMETMonitoring ) susHLTDQMSourceExtra = cms.Sequence( )

57.387218

468

0.797707

import FWCore.ParameterSet.Config as cms from DQMOffline.Trigger.RazorMonitor_cff import * from DQMOffline.Trigger.VBFSUSYMonitor_cff import * from DQMOffline.Trigger.LepHTMonitor_cff import * from DQMOffline.Trigger.susyHLTEleCaloJets_cff import * from DQMOffline.Trigger.SoftMuHardJetMETSUSYMonitor_cff import * from DQMOffline.Trigger.TopMonitor_cfi import hltTOPmonitoring # muon double_soft_muon_muonpt = hltTOPmonitoring.clone() double_soft_muon_muonpt.FolderName = cms.string('HLT/SUSY/SOS/Muon/') # Selections double_soft_muon_muonpt.nmuons = cms.uint32(2) double_soft_muon_muonpt.HTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_muonpt.HTcut = cms.double(60) double_soft_muon_muonpt.enableMETPlot = True double_soft_muon_muonpt.metSelection =cms.string('pt>150') double_soft_muon_muonpt.MHTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_muonpt.MHTcut = cms.double(150) double_soft_muon_muonpt.invMassUppercut = cms.double(50) double_soft_muon_muonpt.invMassLowercut = cms.double(10) # Binning double_soft_muon_muonpt.histoPSet.muPtBinning =cms.vdouble(0,2,5,7,10,12,15,17,20,25,30,50) double_soft_muon_muonpt.histoPSet.muPtBinning2D =cms.vdouble(0,2,5,7,10,12,15,17,20,25,30,50) # Triggers double_soft_muon_muonpt.numGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_DoubleMu3_DZ_PFMET50_PFMHT60_v*') double_soft_muon_muonpt.denGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_PFMET140_PFMHT140_v*') # met double_soft_muon_metpt = hltTOPmonitoring.clone() double_soft_muon_metpt.FolderName = cms.string('HLT/SUSY/SOS/MET/') # Selections double_soft_muon_metpt.nmuons = cms.uint32(2) double_soft_muon_metpt.HTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_metpt.HTcut = cms.double(60) double_soft_muon_metpt.muoSelection =cms.string('pt>18 & abs(eta)<2.4') double_soft_muon_metpt.MHTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_metpt.MHTcut = cms.double(150) double_soft_muon_metpt.invMassUppercut = cms.double(50) double_soft_muon_metpt.invMassLowercut = cms.double(10) double_soft_muon_metpt.enableMETPlot = True # Binning double_soft_muon_metpt.histoPSet.metPSet =cms.PSet(nbins=cms.uint32(50),xmin=cms.double(50),xmax=cms.double(300) ) # Triggers double_soft_muon_metpt.numGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_DoubleMu3_DZ_PFMET50_PFMHT60_v*') double_soft_muon_metpt.denGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_DZ_v*') # inv Mass double_soft_muon_mll = hltTOPmonitoring.clone() double_soft_muon_mll.FolderName = cms.string('HLT/SUSY/SOS/Mll/') # Selections double_soft_muon_mll.nmuons = cms.uint32(2) double_soft_muon_mll.HTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_mll.HTcut = cms.double(60) double_soft_muon_mll.muoSelection =cms.string('pt>10 & abs(eta)<2.4') double_soft_muon_mll.MHTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_mll.MHTcut = cms.double(150) double_soft_muon_mll.enableMETPlot = True double_soft_muon_mll.metSelection = cms.string('pt>150') # Binning double_soft_muon_mll.histoPSet.invMassVariableBinning =cms.vdouble(8,12,15,20,25,30,35,40,45,47,50,60) # Triggers double_soft_muon_mll.numGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_DoubleMu3_DZ_PFMET50_PFMHT60_v*') double_soft_muon_mll.denGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_Dimuon12_Upsilon_eta1p5_v*') # mht double_soft_muon_mhtpt = hltTOPmonitoring.clone() double_soft_muon_mhtpt.FolderName = cms.string('HLT/SUSY/SOS/MHT/') # Selections double_soft_muon_mhtpt.nmuons = cms.uint32(2) double_soft_muon_mhtpt.HTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_mhtpt.HTcut = cms.double(60) double_soft_muon_mhtpt.muoSelection =cms.string('pt>18 & abs(eta)<2.0') double_soft_muon_mhtpt.MHTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_mhtpt.enableMETPlot = True double_soft_muon_mhtpt.metSelection = cms.string('pt>150') double_soft_muon_mhtpt.invMassUppercut = cms.double(50) double_soft_muon_mhtpt.invMassLowercut = cms.double(10) # Binning double_soft_muon_mhtpt.histoPSet.MHTVariableBinning =cms.vdouble(50,60,70,80,90,100,110,120,130,150,200,300) # Triggers double_soft_muon_mhtpt.numGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_DoubleMu3_DZ_PFMET50_PFMHT60_v*') double_soft_muon_mhtpt.denGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_DZ_v*') # backup1, met double_soft_muon_backup_70_metpt = hltTOPmonitoring.clone() double_soft_muon_backup_70_metpt.FolderName = cms.string('HLT/SUSY/SOS/backup70/MET/') # Selections double_soft_muon_backup_70_metpt.nmuons = cms.uint32(2) double_soft_muon_backup_70_metpt.HTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_backup_70_metpt.HTcut = cms.double(60) double_soft_muon_backup_70_metpt.muoSelection =cms.string('pt>18 & abs(eta)<2.4') double_soft_muon_backup_70_metpt.MHTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_backup_70_metpt.MHTcut = cms.double(150) double_soft_muon_backup_70_metpt.invMassUppercut = cms.double(50) double_soft_muon_backup_70_metpt.invMassLowercut = cms.double(10) double_soft_muon_backup_70_metpt.enableMETPlot = True # Binning double_soft_muon_backup_70_metpt.histoPSet.metPSet =cms.PSet(nbins=cms.uint32(50),xmin=cms.double(50),xmax=cms.double(300) ) # Triggers double_soft_muon_backup_70_metpt.numGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_DoubleMu3_DZ_PFMET70_PFMHT70_v*') double_soft_muon_backup_70_metpt.denGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_DZ_v*') # backup1, mht double_soft_muon_backup_70_mhtpt = hltTOPmonitoring.clone() double_soft_muon_backup_70_mhtpt.FolderName = cms.string('HLT/SUSY/SOS/backup70/MHT/') # Selections double_soft_muon_backup_70_mhtpt.nmuons = cms.uint32(2) double_soft_muon_backup_70_mhtpt.HTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_backup_70_mhtpt.HTcut = cms.double(60) double_soft_muon_backup_70_mhtpt.muoSelection =cms.string('pt>18 & abs(eta)<2.0') double_soft_muon_backup_70_mhtpt.MHTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_backup_70_mhtpt.enableMETPlot = True double_soft_muon_backup_70_mhtpt.metSelection = cms.string('pt>150') double_soft_muon_backup_70_mhtpt.invMassUppercut = cms.double(50) double_soft_muon_backup_70_mhtpt.invMassLowercut = cms.double(10) # Binning double_soft_muon_backup_70_mhtpt.histoPSet.MHTVariableBinning =cms.vdouble(50,60,70,80,90,100,110,120,130,150,200,300) # Triggers double_soft_muon_backup_70_mhtpt.numGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_DoubleMu3_DZ_PFMET70_PFMHT70_v*') double_soft_muon_backup_70_mhtpt.denGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_DZ_v*') # backup2, met double_soft_muon_backup_90_metpt = hltTOPmonitoring.clone() double_soft_muon_backup_90_metpt.FolderName = cms.string('HLT/SUSY/SOS/backup90/MET/') # Selections double_soft_muon_backup_90_metpt.nmuons = cms.uint32(2) double_soft_muon_backup_90_metpt.HTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_backup_90_metpt.HTcut = cms.double(60) double_soft_muon_backup_90_metpt.muoSelection =cms.string('pt>18 & abs(eta)<2.4') double_soft_muon_backup_90_metpt.MHTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_backup_90_metpt.MHTcut = cms.double(150) double_soft_muon_backup_90_metpt.invMassUppercut = cms.double(50) double_soft_muon_backup_90_metpt.invMassLowercut = cms.double(10) double_soft_muon_backup_90_metpt.enableMETPlot = True # Binning double_soft_muon_backup_90_metpt.histoPSet.metPSet =cms.PSet(nbins=cms.uint32(50),xmin=cms.double(50),xmax=cms.double(300) ) # Triggers double_soft_muon_backup_90_metpt.numGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_DoubleMu3_DZ_PFMET90_PFMHT90_v*') double_soft_muon_backup_90_metpt.denGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_DZ_v*') # backup2, mht double_soft_muon_backup_90_mhtpt = hltTOPmonitoring.clone() double_soft_muon_backup_90_mhtpt.FolderName = cms.string('HLT/SUSY/SOS/backup90/MHT/') # Selections double_soft_muon_backup_90_mhtpt.nmuons = cms.uint32(2) double_soft_muon_backup_90_mhtpt.HTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_backup_90_mhtpt.HTcut = cms.double(60) double_soft_muon_backup_90_mhtpt.muoSelection =cms.string('pt>18 & abs(eta)<2.0') double_soft_muon_backup_90_mhtpt.MHTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_backup_90_mhtpt.enableMETPlot = True double_soft_muon_backup_90_mhtpt.metSelection = cms.string('pt>150') double_soft_muon_backup_90_mhtpt.invMassUppercut = cms.double(50) double_soft_muon_backup_90_mhtpt.invMassLowercut = cms.double(10) # Binning double_soft_muon_backup_90_mhtpt.histoPSet.MHTVariableBinning =cms.vdouble(50,60,70,80,90,100,110,120,130,150,200,300) # Triggers double_soft_muon_backup_90_mhtpt.numGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_DoubleMu3_DZ_PFMET90_PFMHT90_v*') double_soft_muon_backup_90_mhtpt.denGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_DZ_v*') # triple muon triple_muon_mupt = hltTOPmonitoring.clone() triple_muon_mupt.FolderName = cms.string('HLT/SUSY/SOS/TripleMu/Muon') # Selections triple_muon_mupt.nmuons = cms.uint32(3) triple_muon_mupt.muoSelection =cms.string('isGlobalMuon()') triple_muon_mupt.invMassUppercut = cms.double(50) triple_muon_mupt.invMassLowercut = cms.double(10) triple_muon_mupt.invMassCutInAllMuPairs=cms.bool(True) # Triggers triple_muon_mupt.numGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_TripleMu_5_3_3_Mass3p8to60_DZ_v*') triple_muon_mupt.denGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_Trimuon5_3p5_2_Upsilon_Muon_v*') # triplemu dca triple_muon_dca_mupt = hltTOPmonitoring.clone() triple_muon_dca_mupt.FolderName = cms.string('HLT/SUSY/SOS/TripleMu/DCA/Muon') # Selections triple_muon_dca_mupt.nmuons = cms.uint32(3) triple_muon_dca_mupt.muoSelection =cms.string('isGlobalMuon()') triple_muon_dca_mupt.invMassUppercut = cms.double(50) triple_muon_dca_mupt.invMassLowercut = cms.double(10) triple_muon_dca_mupt.invMassCutInAllMuPairs=cms.bool(True) # Triggers triple_muon_dca_mupt.numGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_TripleMu_5_3_3_Mass3p8to60_DCA_v*') triple_muon_dca_mupt.denGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_Trimuon5_3p5_2_Upsilon_Muon_v*') # MuonEG susyMuEGMonitoring = hltTOPmonitoring.clone() susyMuEGMonitoring.FolderName = cms.string('HLT/SUSY/MuonEG/') susyMuEGMonitoring.nmuons = cms.uint32(1) susyMuEGMonitoring.nphotons = cms.uint32(1) susyMuEGMonitoring.nelectrons = cms.uint32(0) susyMuEGMonitoring.njets = cms.uint32(0) susyMuEGMonitoring.enablePhotonPlot = cms.bool(True) susyMuEGMonitoring.muoSelection = cms.string('pt>26 & abs(eta)<2.1 & isPFMuon & isGlobalMuon & isTrackerMuon & numberOfMatches>1 & innerTrack.hitPattern.trackerLayersWithMeasurement>5 & innerTrack.hitPattern.numberOfValidPixelHits>0 & globalTrack.hitPattern.numberOfValidMuonHits>0 & globalTrack.normalizedChi2<10 & (pfIsolationR04.sumChargedHadronPt + max(pfIsolationR04.sumNeutralHadronEt + pfIsolationR04.sumPhotonEt - (pfIsolationR04.sumPUPt)/2.,0.) )/pt<0.15') susyMuEGMonitoring.phoSelection = cms.string('(pt > 30 && abs(eta)<1.4442 && hadTowOverEm<0.0597 && full5x5_sigmaIetaIeta()<0.01031 && chargedHadronIso<1.295 && neutralHadronIso < 5.931+0.0163*pt+0.000014*pt*pt && photonIso < 6.641+0.0034*pt) || (pt > 30 && abs(eta)>1.4442 && hadTowOverEm<0.0481 && full5x5_sigmaIetaIeta()<0.03013 && chargedHadronIso<1.011 && neutralHadronIso < 1.715+0.0163*pt+0.000014*pt*pt && photonIso < 3.863+0.0034*pt)') susyMuEGMonitoring.numGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_Mu17_Photon30_IsoCaloId*') susyMuEGMonitoring.denGenericTriggerEventPSet.hltPaths = cms.vstring('') # muon dca double_soft_muon_dca_muonpt = hltTOPmonitoring.clone() double_soft_muon_dca_muonpt.FolderName = cms.string('HLT/SUSY/SOS/DCA/Muon/') # Selections double_soft_muon_dca_muonpt.nmuons = cms.uint32(2) double_soft_muon_dca_muonpt.HTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_dca_muonpt.HTcut = cms.double(60) double_soft_muon_dca_muonpt.enableMETPlot = True double_soft_muon_dca_muonpt.metSelection =cms.string('pt>150') double_soft_muon_dca_muonpt.MHTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_dca_muonpt.MHTcut = cms.double(150) double_soft_muon_dca_muonpt.invMassUppercut = cms.double(50) double_soft_muon_dca_muonpt.invMassLowercut = cms.double(10) # Binning double_soft_muon_dca_muonpt.histoPSet.muPtBinning =cms.vdouble(0,2,5,7,10,12,15,17,20,25,30,50) double_soft_muon_dca_muonpt.histoPSet.muPtBinning2D =cms.vdouble(0,2,5,7,10,12,15,17,20,25,30,50) # Triggers double_soft_muon_dca_muonpt.numGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_DoubleMu3_DCA_PFMET50_PFMHT60_v*') double_soft_muon_dca_muonpt.denGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_PFMET140_PFMHT140_v*') # met double_soft_muon_dca_metpt = hltTOPmonitoring.clone() double_soft_muon_dca_metpt.FolderName = cms.string('HLT/SUSY/SOS/DCA/MET/') # Selections double_soft_muon_dca_metpt.nmuons = cms.uint32(2) double_soft_muon_dca_metpt.HTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_dca_metpt.HTcut = cms.double(60) double_soft_muon_dca_metpt.muoSelection =cms.string('pt>18 & abs(eta)<2.4') double_soft_muon_dca_metpt.MHTdefinition = cms.string('pt>30 & abs(eta)<2.4') double_soft_muon_dca_metpt.MHTcut = cms.double(150) double_soft_muon_dca_metpt.invMassUppercut = cms.double(50) double_soft_muon_dca_metpt.invMassLowercut = cms.double(10) double_soft_muon_dca_metpt.enableMETPlot = True # Binning double_soft_muon_dca_metpt.histoPSet.metPSet =cms.PSet(nbins=cms.uint32(50),xmin=cms.double(50),xmax=cms.double(300) ) # Triggers double_soft_muon_dca_metpt.numGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_DoubleMu3_DCA_PFMET50_PFMHT60_v*') double_soft_muon_dca_metpt.denGenericTriggerEventPSet.hltPaths = cms.vstring('HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_v*') susyMonitorHLT = cms.Sequence( susyHLTRazorMonitoring + susyHLTVBFMonitoring + LepHTMonitor + susyHLTEleCaloJets + double_soft_muon_muonpt + double_soft_muon_metpt + double_soft_muon_mhtpt + double_soft_muon_mll + double_soft_muon_backup_70_metpt + double_soft_muon_backup_70_mhtpt + double_soft_muon_backup_90_metpt + double_soft_muon_backup_90_mhtpt + triple_muon_mupt + triple_muon_dca_mupt + susyMuEGMonitoring + double_soft_muon_dca_muonpt + double_soft_muon_dca_metpt + susyHLTSoftMuHardJetMETMonitoring ) susHLTDQMSourceExtra = cms.Sequence( )

0

71bd3b77d216fb6bd6e19a6e951bade7f6e13e2c

7,401

py

Python

prototype/src/frontend/app.py

nmilovanovic/rep

70a7853f54250d26eb14be86643c3b3d5ed233c4

[ "MIT" ]

null

prototype/src/frontend/app.py

nmilovanovic/rep

70a7853f54250d26eb14be86643c3b3d5ed233c4

[ "MIT" ]

null

prototype/src/frontend/app.py

nmilovanovic/rep

70a7853f54250d26eb14be86643c3b3d5ed233c4

[ "MIT" ]

null

from flask import Flask, redirect, url_for, request, render_template, make_response, session, send_from_directory, send_file import uuid import datetime import io import grpc import prototype_pb2_grpc import prototype_pb2 import base64 import json from prometheus_client import Counter, start_http_server import os app = Flask(__name__) app.config["DEBUG"] = False REQUESTS = Counter('http_requests_total', 'Total number of requests to this API.') PICTURES_CONN_STRING = os.environ['PICTURES'] SPECS_CONN_STRING = os.environ['SPECS'] CART_CONN_STRING = os.environ['CART'] CHECKOUT_CONN_STRING = os.environ['CHECKOUT'] @app.route('/') @app.route('/addproduct', methods = ['POST']) @app.route('/addtocart',methods = ['POST']) @app.route('/listcart',methods = ['GET']) @app.route('/checkoutcart',methods = ['GET']) @app.route('/listcheckouts', methods = ['GET']) @app.route('/addproduct',methods = ['GET']) @app.route('/listproducts', methods = ['GET']) @app.route('/checkout', methods = ['GET']) @app.route('/logout/') @app.route('/images/<productid>') if __name__ == '__main__': print(PICTURES_CONN_STRING) print(SPECS_CONN_STRING) print(CART_CONN_STRING) print(CHECKOUT_CONN_STRING) start_http_server(8000) app.run('0.0.0.0', port=80)

38.149485

124

0.706391

from flask import Flask, redirect, url_for, request, render_template, make_response, session, send_from_directory, send_file import uuid import datetime import io import grpc import prototype_pb2_grpc import prototype_pb2 import base64 import json from prometheus_client import Counter, start_http_server import os app = Flask(__name__) app.config["DEBUG"] = False REQUESTS = Counter('http_requests_total', 'Total number of requests to this API.') PICTURES_CONN_STRING = os.environ['PICTURES'] SPECS_CONN_STRING = os.environ['SPECS'] CART_CONN_STRING = os.environ['CART'] CHECKOUT_CONN_STRING = os.environ['CHECKOUT'] @app.route('/') def index(): REQUESTS.inc() if not 'userid' in request.cookies: userid = uuid.uuid4().hex else: userid = request.cookies['userid'] response = make_response(render_template('index.html', id=userid)) expires = datetime.datetime.now() + datetime.timedelta(days=90) response.set_cookie('userid', userid, expires=expires) return response @app.route('/addproduct', methods = ['POST']) def add_product_post(): REQUESTS.inc() if not 'userid' in request.cookies: return redirect(url_for('/')) f = request.files['image'] image_contents = f.read() product_dict = dict() productid = uuid.uuid4().hex product_dict['productid'] = productid product_dict['name'] = request.form['name'] product_dict['description'] = request.form['description'] with grpc.insecure_channel(SPECS_CONN_STRING) as channel: stub = prototype_pb2_grpc.SpecsStub(channel) req = prototype_pb2.SpecsRequest(content=json.dumps(product_dict)) stub.AddProduct(req) with grpc.insecure_channel(PICTURES_CONN_STRING) as channel: stub = prototype_pb2_grpc.PicturesStub(channel) req = prototype_pb2.AddPictureRequest(productid=productid, content=image_contents) stub.AddPicture(req) return 'Product added successfully' @app.route('/addtocart',methods = ['POST']) def add_to_cart(): REQUESTS.inc() if not 'userid' in request.cookies: return redirect(url_for('/')) productid = request.form['productid'] userid = request.cookies['userid'] with grpc.insecure_channel(CART_CONN_STRING) as channel: stub = prototype_pb2_grpc.CartStub(channel) req = prototype_pb2.CartRequest(userid=userid, productid=productid) stub.AddProduct(req) return 'Product successfully added to the cart!' @app.route('/listcart',methods = ['GET']) def list_cart(): REQUESTS.inc() if not 'userid' in request.cookies: return redirect(url_for('/')) response = None userid = request.cookies['userid'] with grpc.insecure_channel(CART_CONN_STRING) as channel: stub = prototype_pb2_grpc.CartStub(channel) req = prototype_pb2.CartRequest(userid=userid) response = stub.ListProducts(req) products_dict = json.loads(response.content) products_list = products_dict['list'] products = dict() for product in products_list: with grpc.insecure_channel(SPECS_CONN_STRING) as channel: stub = prototype_pb2_grpc.SpecsStub(channel) req = prototype_pb2.CartRequest(content=product) response = stub.GetProduct(req) response = json.loads(response.content) products[response['productid']] = response return render_template('listcart.html', userid=userid, products_dict=products) @app.route('/checkoutcart',methods = ['GET']) def checkout_cart(): REQUESTS.inc() if not 'userid' in request.cookies: return redirect(url_for('/')) response = None userid = request.cookies['userid'] with grpc.insecure_channel(CART_CONN_STRING) as channel: stub = prototype_pb2_grpc.CartStub(channel) req = prototype_pb2.CartRequest(userid=userid) response = stub.CheckoutCart(req) print(response.content) with grpc.insecure_channel(CHECKOUT_CONN_STRING) as channel: stub = prototype_pb2_grpc.CheckoutStub(channel) req = prototype_pb2.CheckoutRequest(userid=userid, content=response.content) response = stub.AddCart(req) return 'You have successfully checked out your cart!' @app.route('/listcheckouts', methods = ['GET']) def list_checkouts(): REQUESTS.inc() userid = request.cookies['userid'] if not 'userid' in request.cookies: return redirect(url_for('/')) response = None with grpc.insecure_channel(CHECKOUT_CONN_STRING) as channel: stub = prototype_pb2_grpc.CheckoutStub(channel) req = prototype_pb2.CheckoutRequest() response = stub.ListCheckouts(req) print(response.content) return render_template('listcheckouts.html', userid=userid, checkouts_dict=json.loads(response.content)) @app.route('/addproduct',methods = ['GET']) def add_product_get(): REQUESTS.inc() if not 'userid' in request.cookies: return redirect(url_for('/')) return render_template('addproduct.html') @app.route('/listproducts', methods = ['GET']) def list_products(): REQUESTS.inc() if not 'userid' in request.cookies: return redirect(url_for('/')) userid = request.cookies['userid'] response = None with grpc.insecure_channel(SPECS_CONN_STRING) as channel: stub = prototype_pb2_grpc.SpecsStub(channel) req = prototype_pb2.SpecsRequest() response = stub.ListProducts(req) products_dict = json.loads(response.content) return render_template('listproducts.html', userid=userid, products_dict=products_dict) @app.route('/checkout', methods = ['GET']) def checkout(): REQUESTS.inc() if not 'userid' in request.cookies: return redirect(url_for('/')) userid = request.cookies['userid'] response = None with grpc.insecure_channel(CART_CONN_STRING) as channel: stub = prototype_pb2_grpc.CartStub(channel) req = prototype_pb2.CartRequest(userid=userid) response = stub.ListProducts(req) with grpc.insecure_channel(CART_CONN_STRING) as channel: stub = prototype_pb2_grpc.CartStub(channel) req = prototype_pb2.CartRequest(userid=userid) stub.CheckoutCart(req) with grpc.insecure_channel(CHECKOUT_CONN_STRING) as channel: stub = prototype_pb2_grpc.CheckoutStub(channel) req = prototype_pb2.CheckoutRequest(content=response.content) response = stub.AddCart(req) return 'You have successfully checked out your cart!' @app.route('/logout/') def logout(): REQUESTS.inc() if not 'userid' in request.cookies: return redirect(url_for('/')) response = make_response(render_template('logout.html')) response.set_cookie('userid', '', expires=0) return response @app.route('/images/<productid>') def images(productid): REQUESTS.inc() response = None with grpc.insecure_channel(PICTURES_CONN_STRING) as channel: stub = prototype_pb2_grpc.PicturesStub(channel) request = prototype_pb2.PictureRequest(productid=productid) response = stub.GetPicture(request) response = make_response(send_file(io.BytesIO(response.content), mimetype='image/jpg')) return response if __name__ == '__main__': print(PICTURES_CONN_STRING) print(SPECS_CONN_STRING) print(CART_CONN_STRING) print(CHECKOUT_CONN_STRING) start_http_server(8000) app.run('0.0.0.0', port=80)

5,885

0

243

dc56af512a538f9b748aec086cc85450f71fbc47

794

py

Python

modules/help.py

cernymichal/go2

82869e12a4fed4f9a61b55b81b3453a14fa42d5d

[ "Unlicense" ]

null

modules/help.py

cernymichal/go2

82869e12a4fed4f9a61b55b81b3453a14fa42d5d

[ "Unlicense" ]

null

modules/help.py

cernymichal/go2

82869e12a4fed4f9a61b55b81b3453a14fa42d5d

[ "Unlicense" ]

null

import asyncio import json import os from threading import Timer name = "Help" description = """ Module for displaying help modules: prints all modules help *module*: prints help for a Module """ metadata = {} functions = { "modules": Modules, "help": Help }

20.358974

87

0.671285

import asyncio import json import os from threading import Timer name = "Help" description = """ Module for displaying help modules: prints all modules help *module*: prints help for a Module """ metadata = {} async def OnReady(client, modules): global metadata for module in modules: key = module.name if hasattr(module, "name") else module.__name__ metadata[key] = { "description": module.description if hasattr(module, "description") else "" } async def Modules(client, message): await message.channel.send(", ".join(metadata.keys())) async def Help(client, message): module = " ".join(message.content[1:]) await message.channel.send(metadata[module]["description"]) functions = { "modules": Modules, "help": Help }

450

0

69

31ff2f7c4e2d996eca1f2ec08a6bd9a3b13e6416

152

py

Python

fiaas_deploy_daemon/fake_consumer/fake_consumer.py

j-boivie/fiaas-deploy-daemon

3bba04b3b329f4c9c1418d80a9a007e8ed22f804

[ "Apache-2.0" ]

null

fiaas_deploy_daemon/fake_consumer/fake_consumer.py

j-boivie/fiaas-deploy-daemon

3bba04b3b329f4c9c1418d80a9a007e8ed22f804

[ "Apache-2.0" ]

null

fiaas_deploy_daemon/fake_consumer/fake_consumer.py

j-boivie/fiaas-deploy-daemon

3bba04b3b329f4c9c1418d80a9a007e8ed22f804

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8

12.666667

27

0.585526

#!/usr/bin/env python # -*- coding: utf-8 class FakeConsumer(object): def start(self): pass def is_alive(self): return True

26

6

77

1d298b1988affcb7a833af9bfcb9056a30c05653

1,795

py

Python

windy_gridworld.py

CurtisChris7/GridwoRLd

17e718314074e28ed87820056099b0060b191b7b

[ "MIT" ]

null

windy_gridworld.py

CurtisChris7/GridwoRLd

17e718314074e28ed87820056099b0060b191b7b

[ "MIT" ]

null

windy_gridworld.py

CurtisChris7/GridwoRLd

17e718314074e28ed87820056099b0060b191b7b

[ "MIT" ]

null

from absgridworld import AbsGridworld class WindyGridworld(AbsGridworld): """Class representing a windy girdworld""" def __init__(self, schema: list, actions: list, stepPenalty: float, columnToWindMap: dict) -> None: """ Description ---------- Constructor used for processing the schema into the internal gridworld representation that all concrete gridworld implementations would use. Parameters ---------- schema : list The schema used actions : list A list of all possible actions that can be taken stepPenalty : float The penalty for taking an action columnToWindMap : dict Maps the column to the wind value to be experienced """ super().__init__(schema, actions) self.stepPenalty = stepPenalty self.columnToWindMap = columnToWindMap """OVERLOADED METHODS"""

29.42623

103

0.585515

from absgridworld import AbsGridworld class WindyGridworld(AbsGridworld): """Class representing a windy girdworld""" def __init__(self, schema: list, actions: list, stepPenalty: float, columnToWindMap: dict) -> None: """ Description ---------- Constructor used for processing the schema into the internal gridworld representation that all concrete gridworld implementations would use. Parameters ---------- schema : list The schema used actions : list A list of all possible actions that can be taken stepPenalty : float The penalty for taking an action columnToWindMap : dict Maps the column to the wind value to be experienced """ super().__init__(schema, actions) self.stepPenalty = stepPenalty self.columnToWindMap = columnToWindMap """OVERLOADED METHODS""" def getStates(self) -> list: return [(row, col) for row in range(self.rowCount) for col in range(self.colCount)] def getAvailableActions(self, state) -> list: row = state[0] col = state[1] actions = [] for a in self.getActions(): newRow = row + a[0] newCol = col + a[1] if newRow < 0 or newRow >= self.rowCount or newCol < 0 or newCol >= self.colCount: pass else: actions.append(a) return actions def step(self, state, action): row = state[0] col = state[1] newRow = max(row + action[0] - self.columnToWindMap[col], 0) newCol = col + action[1] return (newRow, newCol) def getRewardFromAction(self, state, action) -> float: return self.stepPenalty

737

0

108

eec6bebfa984569eb78f8114c1b0fb5d42b088c0

485

py

Python

MahaPolApp/models.py

safir72347/AngularJs-Django-Form-Validation

b86caa4b27e20e3ded90481a9bf256fcdce82a9b

[ "MIT" ]

null

MahaPolApp/models.py

safir72347/AngularJs-Django-Form-Validation

b86caa4b27e20e3ded90481a9bf256fcdce82a9b

[ "MIT" ]

null

MahaPolApp/models.py

safir72347/AngularJs-Django-Form-Validation

b86caa4b27e20e3ded90481a9bf256fcdce82a9b

[ "MIT" ]

1

2021-07-29T17:03:35.000Z

from django.db import models # Create your models here.

34.642857

45

0.793814

from django.db import models # Create your models here. class register_data(models.Model): first_name = models.CharField(max_length=30) last_name = models.CharField(max_length=30) dob = models.CharField(max_length=30) mobile = models.CharField(max_length=20) address = models.CharField(max_length=150) user_name = models.CharField(max_length=30) email = models.CharField(max_length=30) password = models.CharField(max_length=100) created_on = models.CharField(max_length=30)

0

406

23

6e013e327003dbb74a3af18c948acf50a8373ca5

7,215

py

Python

src/api/datahub/access/tests/modules/access/conftest.py

Chromico/bk-base

be822d9bbee544a958bed4831348185a75604791

[ "MIT" ]

84

2021-06-30T06:20:23.000Z

2022-03-22T03:05:49.000Z

src/api/datahub/access/tests/modules/access/conftest.py

Chromico/bk-base

be822d9bbee544a958bed4831348185a75604791

[ "MIT" ]

7

2021-06-30T06:21:16.000Z

2022-03-29T07:36:13.000Z

src/api/datahub/access/tests/modules/access/conftest.py

Chromico/bk-base

be822d9bbee544a958bed4831348185a75604791

[ "MIT" ]

40

2021-06-30T06:21:26.000Z

2022-03-29T12:42:26.000Z

# -*- coding: utf-8 -*- """ Tencent is pleased to support the open source community by making BK-BASE 蓝鲸基础平台 available. Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved. BK-BASE 蓝鲸基础平台 is licensed under the MIT License. License for BK-BASE 蓝鲸基础平台: -------------------------------------------------------------------- Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. """ from __future__ import absolute_import import pytest from datahub.access.tests import db_helper @pytest.fixture(scope="session") def django_db_setup(): """Avoid creating/setting up the test database""" pass @pytest.fixture @pytest.fixture @pytest.fixture @pytest.fixture @pytest.fixture @pytest.fixture @pytest.fixture

29.44898

111

0.585031

# -*- coding: utf-8 -*- """ Tencent is pleased to support the open source community by making BK-BASE 蓝鲸基础平台 available. Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved. BK-BASE 蓝鲸基础平台 is licensed under the MIT License. License for BK-BASE 蓝鲸基础平台: -------------------------------------------------------------------- Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. """ from __future__ import absolute_import import pytest from datahub.access.tests import db_helper @pytest.fixture(scope="session") def django_db_setup(): """Avoid creating/setting up the test database""" pass @pytest.fixture def test_data_id(): data_id = 3000 with db_helper.open_cursor("mapleleaf") as cur: db_helper.insert( cur, "access_raw_data", id=data_id, bk_biz_id=2, raw_data_name="fixture_data1", raw_data_alias="fixture_data1_alias", sensitivity="private", data_source="server", data_encoding="UTF-8", data_category="", data_scenario="log", bk_app_code="bk_data", storage_channel_id=0, created_by="admin", created_at="2019-01-01 00:00:00", updated_by="admin", updated_at="2019-01-01 00:00:00", description="description", maintainer="admin1,admin2,admin3", ) try: yield data_id finally: delete_data_id(data_id) @pytest.fixture def test_encode(): encode_id = 1 with db_helper.open_cursor("mapleleaf") as cur: db_helper.insert( cur, "encoding_config", id=encode_id, encoding_name="UTF8", encoding_alias="UTF8", created_at="2018-10-23T12:02:18", updated_at="2018-10-23T12:02:18", created_by="admin", updated_by="admin", active=1, description="", ) try: yield encode_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute(cur, "DELETE FROM encoding_config where id = 1") @pytest.fixture def test_field_type(): field_type = "double" with db_helper.open_cursor("mapleleaf") as cur: db_helper.insert( cur, "field_type_config", field_type=field_type, field_type_name="double", field_type_alias="浮点型", updated_at="2021-05-28 12:02:18", created_at="2021-05-28 12:02:18", created_by="admin", updated_by="admin", active=1, description="", ) try: yield finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute(cur, "DELETE FROM field_type_config") @pytest.fixture def test_time_format(): time_format_id = 111 with db_helper.open_cursor("mapleleaf") as cur: db_helper.insert( cur, "time_format_config", id=time_format_id, time_format_name="yyyyMMdd", time_format_alias="yyyyMMdd", time_format_example="20191010", timestamp_len=8, format_unit="y,h,m", created_at="2018-10-23T12:02:18", updated_at="2018-10-23T12:02:18", created_by="admin", updated_by="admin", active=1, description="", ) try: yield time_format_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute(cur, "DELETE FROM time_format_config where id = 111") @pytest.fixture def test_scenario(): scenario_id = 111 with db_helper.open_cursor("mapleleaf") as cur: db_helper.insert( cur, "access_scenario_config", id=scenario_id, data_scenario_name="log", data_scenario_alias="log", created_at="2018-10-23T12:02:18", updated_at="2018-10-23T12:02:18", created_by="admin", updated_by="admin", active=1, description="", ) try: yield scenario_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute(cur, "DELETE FROM access_scenario_config where id = 111") @pytest.fixture def test_category(): category_id = 11 with db_helper.open_cursor("mapleleaf") as cur: db_helper.insert( cur, "data_category_config", id=category_id, data_category_alias="", updated_by="admin", data_category_name="", created_at="2018-10-23T12:02:18", updated_at="2018-10-23T12:02:18", created_by="admin", active=1, description="", ) try: yield category_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute( cur, """ DELETE FROM data_category_config WHERE id = %(category_id)s """, category_id=category_id, ) @pytest.fixture def test_oper_log(): oper_log_id = 11 with db_helper.open_cursor("mapleleaf") as cur: db_helper.insert( cur, "access_operation_log", id=oper_log_id, raw_data_id=123, updated_by="admin", args='{"test":"111"}', status="success", created_at="2018-10-23T12:02:18", updated_at="2018-10-23T12:02:18", created_by="admin", description="", ) try: yield oper_log_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute( cur, """ DELETE FROM access_operation_log WHERE id = 11""", ) def delete_data_id(data_id): with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute( cur, """ DELETE FROM access_raw_data WHERE id = %(data_id)s """, data_id=data_id, )

5,325

0

177

184cf49ab5aa52ae09e6f247d56792442b3ec425

1,423

py

Python

GUI Application/main.py

vladBaciu/PPG-EduKit

2959ca884a2df84ea0d9993658c89d7fdc3452e7

[ "BSD-2-Clause" ]

1

2022-03-21T12:53:51.000Z

GUI Application/main.py

vladBaciu/PPG-EduKit

2959ca884a2df84ea0d9993658c89d7fdc3452e7

[ "BSD-2-Clause" ]

null

GUI Application/main.py

vladBaciu/PPG-EduKit

2959ca884a2df84ea0d9993658c89d7fdc3452e7

[ "BSD-2-Clause" ]

null

# -*- coding: utf-8 -*- """ Created on Thu Nov 11 17:47:46 2021 @author: vlad-eusebiu.baciu@vub.be """ import pyqtgraph as pg import sys import logo_qrc import ctypes from PyQt5 import QtWidgets, uic from pyqtgraph import PlotWidget from application1 import App1_Gui from application2 import App2_Gui if __name__ == '__main__': main()

25.410714

106

0.64863

# -*- coding: utf-8 -*- """ Created on Thu Nov 11 17:47:46 2021 @author: vlad-eusebiu.baciu@vub.be """ import pyqtgraph as pg import sys import logo_qrc import ctypes from PyQt5 import QtWidgets, uic from pyqtgraph import PlotWidget from application1 import App1_Gui from application2 import App2_Gui class MainWindow(QtWidgets.QMainWindow): def __init__(self, *args, **kwargs): super(MainWindow, self).__init__(*args, **kwargs) #Load the UI Page uic.loadUi('app_entry.ui', self) self.setWindowTitle("PPG EduKit Demos") self.app1_button.clicked.connect(self.open_app1) self.app2_button.clicked.connect(self.open_app2) self.show_pdf_list.triggered.connect(self.open_app_pdf) self.show_info_box.triggered.connect(self.show_info) def open_app_pdf(self): print("open_app_pdf") def show_info(self): print("show_info") ctypes.windll.user32.MessageBoxW(1, "Bla bla bla text text text", "About PPG EduKit platform", 64) def open_app1(self): self.main = App1_Gui() self.main.show() self.close() def open_app2(self): self.main = App2_Gui() self.main.show() self.close() def main(): app = QtWidgets.QApplication(sys.argv) main = MainWindow() main.show() sys.exit(app.exec_()) if __name__ == '__main__': main()

852

19

209

fedd4ce27f3dfcab21b697c24ca2b7461be665eb

1,968

py

Python

bin_packing.py

kappapidelta/Apress-AI

6faf15f18c840c95eafce8f3ee5a41065c590019

[ "MIT" ]

66

2018-03-26T15:08:28.000Z

2022-03-17T13:07:13.000Z

bin_packing.py

kappapidelta/Apress-AI

6faf15f18c840c95eafce8f3ee5a41065c590019

[ "MIT" ]

1

2022-01-13T06:06:17.000Z

bin_packing.py

kappapidelta/Apress-AI

6faf15f18c840c95eafce8f3ee5a41065c590019

[ "MIT" ]

63

2018-03-06T08:47:11.000Z

2022-03-25T16:35:26.000Z

from random import randint,uniform from math import ceil from my_or_tools import newSolver, ObjVal, SolVal

31.741935

65

0.524898

from random import randint,uniform from math import ceil def gen_data(n): R,T=[],0 for i in range(n): RR=[randint(6,10),randint(200,500)] T+=RR[0]*RR[1] R.append(RR) return R,randint(1200, 1500) from my_or_tools import newSolver, ObjVal, SolVal def solve_model(D,W,symmetry_break=False,knapsack=True): s = newSolver('Bin Packing',True) nbC,nbP = len(D),sum([P[0] for P in D]) w = [e for sub in [[d[1]]*d[0] for d in D] for e in sub] nbT,nbTmin = bound_trucks(w,W) x = [[[s.IntVar(0,1,'') for _ in range(nbT)] \ for _ in range(d[0])] for d in D] y = [s.IntVar(0,1,'') for _ in range(nbT)] for k in range(nbT): sxk = sum(D[i][1]*x[i][j][k] \ for i in range(nbC) for j in range(D[i][0])) s.Add(sxk <= W*y[k]) for i in range(nbC): for j in range(D[i][0]): s.Add(sum([x[i][j][k] for k in range(nbT)]) == 1) if symmetry_break: for k in range(nbT-1): s.Add(y[k] >= y[k+1]) for i in range(nbC): for j in range(D[i][0]): for k in range(nbT): for jj in range(max(0,j-1),j): s.Add(sum(x[i][jj][kk] \ for kk in range(k+1)) >= x[i][j][k]) for jj in range(j+1,min(j+2,D[i][0])): s.Add(sum(x[i][jj][kk] \ for kk in range(k,nbT))>=x[i][j][k]) if knapsack: s.Add(sum(W*y[i] for i in range(nbT)) >= sum(w)) s.Add(sum(y[k] for k in range(nbT)) >= nbTmin) s.Minimize(sum(y[k] for k in range(nbT))) rc = s.Solve() P2T=[[D[i][1], [k for j in range(D[i][0]) for k in range(nbT) if SolVal(x[i][j][k])>0]] for i in range(nbC) ] T2P=[[k, [(i,j,D[i][1]) \ for i in range(nbC) for j in range(D[i][0])\ if SolVal(x[i][j][k])>0]] for k in range(nbT)] return rc,ObjVal(s),P2T,T2P def bound_trucks(w,W): nb,tot = 1,0 for i in range(len(w)): if tot+w[i] < W: tot += w[i] else: tot = w[i] nb = nb+1 return nb,ceil(sum(w)/W)

1,791

0

68

c0e909dbb046be66edd190e071e7dd8efbfcda7a

858

py

Python

solutions/problem23.py

wy/ProjectEuler

842d45994fe76ef0ea70dbe6b6f2a559078f45f3

[ "Apache-1.1" ]

null

solutions/problem23.py

wy/ProjectEuler

842d45994fe76ef0ea70dbe6b6f2a559078f45f3

[ "Apache-1.1" ]

null

solutions/problem23.py

wy/ProjectEuler

842d45994fe76ef0ea70dbe6b6f2a559078f45f3

[ "Apache-1.1" ]

null

# coding: utf8 # Author: Wing Yung Chan (~wy) # Date: 2017 #non-abundant sums # N is non-abundant if the sum of its proper divisors is <= N # prop(N) = Set{1 <= i < N | N % i == 0} print(problem23())

16.823529

61

0.536131

# coding: utf8 # Author: Wing Yung Chan (~wy) # Date: 2017 #non-abundant sums # N is non-abundant if the sum of its proper divisors is <= N # prop(N) = Set{1 <= i < N | N % i == 0} def properdivisors(N): acc = 0 for i in range(1,N): if N % i == 0: acc = acc + i return acc def abundant(N): return properdivisors(N) > N def generateA(): AList = [] for i in range(1, 28124): if abundant(i): AList.append(i) return AList def generateAPairs(AList): APairs = set() for i in AList: for j in AList: if i+j <= 28123: APairs.add(i+j) return APairs def problem23(): acc = 0 APairs = generateAPairs(generateA()) for i in range(1, 28124): if i not in APairs: acc = acc + i return acc print(problem23())

537

0

115

1c7029d58f3d83ba1ff6470775aed8811fcd0cda

1,618

py

Python

examples/docs_snippets/docs_snippets/intro_tutorial/advanced/scheduling/scheduler.py

rpatil524/dagster

6f918d94cbd543ab752ab484a65e3a40fd441716

[ "Apache-2.0" ]

1

2021-01-31T19:16:29.000Z

examples/docs_snippets/docs_snippets/intro_tutorial/advanced/scheduling/scheduler.py

rpatil524/dagster

6f918d94cbd543ab752ab484a65e3a40fd441716

[ "Apache-2.0" ]

null

examples/docs_snippets/docs_snippets/intro_tutorial/advanced/scheduling/scheduler.py

rpatil524/dagster

6f918d94cbd543ab752ab484a65e3a40fd441716

[ "Apache-2.0" ]

1

2021-12-08T18:13:19.000Z

# start_scheduler_marker_0 import csv from datetime import datetime import requests from dagster import get_dagster_logger, job, op, repository, schedule @op @job # end_scheduler_marker_0 # start_scheduler_marker_1 @schedule( cron_schedule="45 6 * * *", job=hello_cereal_job, execution_timezone="US/Central", ) # end_scheduler_marker_1 # start_scheduler_marker_2 @repository # end_scheduler_marker_2 # start_scheduler_marker_3 # end_scheduler_marker_3 # start_scheduler_marker_4 @schedule( cron_schedule="45 6 * * *", job=hello_cereal_job, execution_timezone="US/Central", should_execute=weekday_filter, ) # end_scheduler_marker_4

23.114286

75

0.721261

# start_scheduler_marker_0 import csv from datetime import datetime import requests from dagster import get_dagster_logger, job, op, repository, schedule @op def hello_cereal(context): response = requests.get("https://docs.dagster.io/assets/cereal.csv") lines = response.text.split("\n") cereals = [row for row in csv.DictReader(lines)] date = context.op_config["date"] get_dagster_logger().info( f"Today is {date}. Found {len(cereals)} cereals." ) @job def hello_cereal_job(): hello_cereal() # end_scheduler_marker_0 # start_scheduler_marker_1 @schedule( cron_schedule="45 6 * * *", job=hello_cereal_job, execution_timezone="US/Central", ) def good_morning_schedule(context): date = context.scheduled_execution_time.strftime("%Y-%m-%d") return {"ops": {"hello_cereal": {"config": {"date": date}}}} # end_scheduler_marker_1 # start_scheduler_marker_2 @repository def hello_cereal_repository(): return [hello_cereal_job, good_morning_schedule] # end_scheduler_marker_2 # start_scheduler_marker_3 def weekday_filter(_context): weekno = datetime.today().weekday() # Returns true if current day is a weekday return weekno < 5 # end_scheduler_marker_3 # start_scheduler_marker_4 @schedule( cron_schedule="45 6 * * *", job=hello_cereal_job, execution_timezone="US/Central", should_execute=weekday_filter, ) def good_weekday_morning_schedule(context): date = context.scheduled_execution_time.strftime("%Y-%m-%d") return {"ops": {"hello_cereal": {"inputs": {"date": {"value": date}}}}} # end_scheduler_marker_4

808

0

132

b3fcb197fa56808b5ac3439e00e1aac34437d381

6,613

py

Python

counterfit/targets/movie_reviews/movie_reviews.py

ScriptBox99/azure-counterfit

757a51e082f47d446cf9cc0c93011c3a4953be52

[ "MIT" ]

495

2021-05-03T17:11:52.000Z

2022-03-31T19:22:40.000Z

counterfit/targets/movie_reviews/movie_reviews.py

ScriptBox99/azure-counterfit

757a51e082f47d446cf9cc0c93011c3a4953be52

[ "MIT" ]

25

2021-05-06T00:07:19.000Z

2022-03-31T12:16:25.000Z

counterfit/targets/movie_reviews/movie_reviews.py

ScriptBox99/azure-counterfit

757a51e082f47d446cf9cc0c93011c3a4953be52

[ "MIT" ]

79

2021-05-03T21:31:44.000Z

2022-03-13T14:42:08.000Z

import pickle import re import copy import numpy as np import pandas as pd from torch import nn import torch from counterfit.core.targets import Target class MovieReviewsSentimentLSTM(nn.Module): """pre-trained LSTM model on 25 epochs for building sentiment analysis model on IMDB movies review dataset. """ def forward(self, x, hidden): """Forward process of LSTM model Args: x ([tensor]): training data/batch_first Returns: Last sigmoid output and hidden state """ batch_size = x.size(0) # embeddings and lstm_out # shape: Batch x Sequence x Feature since batch_first = True embeds = self.embedding(x) lstm_out, hidden = self.lstm(embeds, hidden) lstm_out = lstm_out.contiguous().view(-1, self.hidden_dim) # dropout and fully connected layer out = self.dropout(lstm_out) out = self.fc(out) # sigmoid function sig_out = self.sig(out) # reshape to be batch_size first sig_out = sig_out.view(batch_size, -1) sig_out = sig_out[:, -1] # get last batch of labels return sig_out, hidden class MovieReviewsTarget(Target): """Defining movie reviews target which is responsible for predicting the scores for a given input and convert scores to labels. """ target_data_type = "text" target_name = "movie_reviews" target_endpoint = f"movie_reviews_sentiment_analysis.pt" target_input_shape = (1,) target_output_classes = [0, 1] target_classifier = "blackbox" sample_input_path = f"movie-reviews-scores-full.csv" vocab_file = f"movie-reviews-vocab.pkl" X = [] def load(self): """[summary] """ self.data = pd.read_csv(self.fullpath(self.sample_input_path)) print(f"\n[+] Total Movie Reviews: {len(self.data)}\n") self._load_x() self.vocab = self._load_vocab() self.model = self._load_model() def _load_x(self): """[summary] """ # Append input reviews to X list for idx in range(len(self.data)): self.X.append(self.data['review'][idx]) def _load_vocab(self): """[summary] Returns: [type]: [description] """ # Load vocabulary file; 1000 most occurence words with open(self.fullpath(self.vocab_file), 'rb') as fp: vocab = pickle.load(fp) return vocab def preprocess_string(self, s): """[summary] Args: s ([type]): [description] Returns: [type]: [description] """ # Remove all non-word characters (everything except numbers and letters) s = re.sub(r"[^\w\s]", '', s) # Replace all runs of whitespaces with no space s = re.sub(r"\s+", '', s) # replace digits with no space s = re.sub(r"\d", '', s) return s def _load_model(self): """[summary] Returns: [type]: [description] """ # Load the LST model that's already trained no_layers = 2 vocab_size = len(self.vocab) + 1 # extra 1 for padding purpose embedding_dim = 64 output_dim = 1 hidden_dim = 256 model = MovieReviewsSentimentLSTM( no_layers, vocab_size, hidden_dim, embedding_dim, output_dim, drop_prob=0.5) model.load_state_dict(copy.deepcopy( torch.load(self.fullpath(self.target_endpoint), 'cpu'))) model.eval() return model def predict(self, x): """This function takes list of input texts. For example., ["how are you?"] Args: x (list): [input_text] Returns: final_prob_scores: [[0.98, 0.02]] 0.98 probability score represents the sentence tone is positive and 0.02 score represents """ final_prob_scores = [] for text in x: word_seq = np.array([self.vocab[self.preprocess_string(word)] for word in text.split() if self.preprocess_string(word) in self.vocab.keys()]) word_seq = np.expand_dims(word_seq, axis=0) pad = torch.from_numpy(self.padding_(word_seq, 500)) inputs = pad.to('cpu') batch_size = 1 h = self.model.init_hidden(batch_size) h = tuple([each.data for each in h]) output, h = self.model(inputs, h) probability = output.item() final_prob_scores.append([probability, 1.0-probability]) return final_prob_scores # this must produce a list of class probabilities

34.442708

138

0.613337

import pickle import re import copy import numpy as np import pandas as pd from torch import nn import torch from counterfit.core.targets import Target class MovieReviewsSentimentLSTM(nn.Module): """pre-trained LSTM model on 25 epochs for building sentiment analysis model on IMDB movies review dataset. """ def __init__(self, no_layers, vocab_size, hidden_dim, embedding_dim, output_dim, drop_prob=0.5): # embedding_dim: number of expected features in the input `x` # hidden_dim: number of features in the hidden state `h` super(MovieReviewsSentimentLSTM, self).__init__() self.no_layers = no_layers # number of recurrent layers self.vocab_size = vocab_size self.hidden_dim = hidden_dim # The number of features in the hidden state h # embedding and LSTM layers self.embedding = nn.Embedding(vocab_size, embedding_dim) self.proj_size = 0 self.output_dim = output_dim # The size of the output you desire from your RNN # dropout layer # a Dropout layer on the outputs of each LSTM layer except the last layer, with dropout probability equal to dropout self.dropout = nn.Dropout(drop_prob) # lstm self.lstm = nn.LSTM(input_size=embedding_dim, hidden_size=self.hidden_dim, num_layers=no_layers, batch_first=True, proj_size=self.proj_size) # final fully connected linear and sigmoid layer self.fc = nn.Linear(self.hidden_dim, self.output_dim) self.sig = nn.Sigmoid() def forward(self, x, hidden): """Forward process of LSTM model Args: x ([tensor]): training data/batch_first Returns: Last sigmoid output and hidden state """ batch_size = x.size(0) # embeddings and lstm_out # shape: Batch x Sequence x Feature since batch_first = True embeds = self.embedding(x) lstm_out, hidden = self.lstm(embeds, hidden) lstm_out = lstm_out.contiguous().view(-1, self.hidden_dim) # dropout and fully connected layer out = self.dropout(lstm_out) out = self.fc(out) # sigmoid function sig_out = self.sig(out) # reshape to be batch_size first sig_out = sig_out.view(batch_size, -1) sig_out = sig_out[:, -1] # get last batch of labels return sig_out, hidden def init_hidden(self, batch_size, device='cpu'): # initialize hidden weights (h,c) to 0 weights = next(self.parameters()).data h = (weights.new(self.no_layers, batch_size, self.hidden_dim).zero_().to(device), weights.new(self.no_layers, batch_size, self.hidden_dim).zero_().to(device)) return h class MovieReviewsTarget(Target): """Defining movie reviews target which is responsible for predicting the scores for a given input and convert scores to labels. """ target_data_type = "text" target_name = "movie_reviews" target_endpoint = f"movie_reviews_sentiment_analysis.pt" target_input_shape = (1,) target_output_classes = [0, 1] target_classifier = "blackbox" sample_input_path = f"movie-reviews-scores-full.csv" vocab_file = f"movie-reviews-vocab.pkl" X = [] def load(self): """[summary] """ self.data = pd.read_csv(self.fullpath(self.sample_input_path)) print(f"\n[+] Total Movie Reviews: {len(self.data)}\n") self._load_x() self.vocab = self._load_vocab() self.model = self._load_model() def _load_x(self): """[summary] """ # Append input reviews to X list for idx in range(len(self.data)): self.X.append(self.data['review'][idx]) def _load_vocab(self): """[summary] Returns: [type]: [description] """ # Load vocabulary file; 1000 most occurence words with open(self.fullpath(self.vocab_file), 'rb') as fp: vocab = pickle.load(fp) return vocab def preprocess_string(self, s): """[summary] Args: s ([type]): [description] Returns: [type]: [description] """ # Remove all non-word characters (everything except numbers and letters) s = re.sub(r"[^\w\s]", '', s) # Replace all runs of whitespaces with no space s = re.sub(r"\s+", '', s) # replace digits with no space s = re.sub(r"\d", '', s) return s def _load_model(self): """[summary] Returns: [type]: [description] """ # Load the LST model that's already trained no_layers = 2 vocab_size = len(self.vocab) + 1 # extra 1 for padding purpose embedding_dim = 64 output_dim = 1 hidden_dim = 256 model = MovieReviewsSentimentLSTM( no_layers, vocab_size, hidden_dim, embedding_dim, output_dim, drop_prob=0.5) model.load_state_dict(copy.deepcopy( torch.load(self.fullpath(self.target_endpoint), 'cpu'))) model.eval() return model def padding_(self, sentences, seq_len): # Padding with zeros if sentence is less than required seq length features = np.zeros((len(sentences), seq_len), dtype=int) for ii, review in enumerate(sentences): if len(review) != 0: features[ii, -len(review):] = np.array(review)[:seq_len] return features def predict(self, x): """This function takes list of input texts. For example., ["how are you?"] Args: x (list): [input_text] Returns: final_prob_scores: [[0.98, 0.02]] 0.98 probability score represents the sentence tone is positive and 0.02 score represents """ final_prob_scores = [] for text in x: word_seq = np.array([self.vocab[self.preprocess_string(word)] for word in text.split() if self.preprocess_string(word) in self.vocab.keys()]) word_seq = np.expand_dims(word_seq, axis=0) pad = torch.from_numpy(self.padding_(word_seq, 500)) inputs = pad.to('cpu') batch_size = 1 h = self.model.init_hidden(batch_size) h = tuple([each.data for each in h]) output, h = self.model(inputs, h) probability = output.item() final_prob_scores.append([probability, 1.0-probability]) return final_prob_scores # this must produce a list of class probabilities

1,867

0

81