xszheng2020/the_stack_dedup_python_hits_3 · Datasets at Hugging Face

27cc87579130596a5f982e491914c12914cc402e

81

py

Python

infinityMusicBot/services/downloaders/__init__.py

INFINITY00800/infinitymusicbot

84c878103a1098147d505ad57f47af4233fa6bb8

[ "BSD-3-Clause" ]

3

2021-07-22T09:33:07.000Z

2021-08-31T11:40:30.000Z

infinityMusicBot/services/downloaders/__init__.py

INFINITY00800/infinitymusicbot

84c878103a1098147d505ad57f47af4233fa6bb8

[ "BSD-3-Clause" ]

null

infinityMusicBot/services/downloaders/__init__.py

INFINITY00800/infinitymusicbot

84c878103a1098147d505ad57f47af4233fa6bb8

[ "BSD-3-Clause" ]

null

from infinityMusicBot.services.downloaders import youtube __all__ = ["youtube"]

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27cf0ebe2e30c9108d6faaf1076c478f6a3656d5

17,292

py

Python

learning/clustering/lsh_tree_test.py

dibakch/differential-privacy

ae9c6b6d5b7e772837ae336d1b3092683481ec16

[ "Apache-2.0" ]

2,550

2019-09-04T13:13:24.000Z

2022-03-31T16:05:50.000Z

learning/clustering/lsh_tree_test.py

fbalicchia/differential-privacy

099080e49c4c047802d785bc818898c0caf84d45

[ "Apache-2.0" ]

90

2019-09-10T15:37:10.000Z

2022-03-28T12:55:03.000Z

learning/clustering/lsh_tree_test.py

fbalicchia/differential-privacy

099080e49c4c047802d785bc818898c0caf84d45

[ "Apache-2.0" ]

324

2019-09-05T11:52:06.000Z

2022-03-31T03:30:26.000Z

# Copyright 2021 Google LLC. # # 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. """Tests for lsh_tree.""" import typing from unittest import mock from absl.testing import absltest import numpy as np from scipy import stats from clustering import clustering_params from clustering import lsh from clustering import lsh_tree from clustering import test_utils def get_test_origin_points(nonprivate_count=5, dim=10): """Points with defaults for parameters not needed for the test.""" return np.zeros((nonprivate_count, dim)) def get_test_sim_hash(dim=10, max_hash_len=1): """SimHash with defaults for parameters not needed for the test.""" return lsh.SimHash(dim=dim, max_hash_len=max_hash_len) class TestLshTreeNode(lsh_tree.LshTreeNode): """Test node for testing without the real children hashing logic. This test implementation always returns a fraction of the points with the next hash_prefix containing 0, and the rest with 1, setting the private count equal to the real count + 1. Equality is checked by just checking the hash_prefix and private_count. """ # Fraction of the nonprivate_points to add a 0 to the hash_prefix. frac_zero: float def __init__(self, *args, frac_zero: float = 0.5, **kwargs): """Initializes test node. Args: *args: extra arguments for the parent class frac_zero: fraction of the nonprivate_points to add a 0 to the hash_prefix **kwargs: extra arguments for the parent class """ super(TestLshTreeNode, self).__init__(*args, **kwargs) self.frac_zero = frac_zero def get_private_count(self) -> int: """Returns a fake private count.""" self.private_count = len(self.nonprivate_points) + 1 return self.private_count def children(self) -> typing.List[lsh_tree.LshTreeNode]: """Returns fake children for this node.""" cutoff = int(len(self.nonprivate_points) * self.frac_zero) return [ TestLshTreeNode( self.hash_prefix + '0', self.nonprivate_points[:cutoff], self.clustering_param, self.sim_hash, private_count=cutoff + 1, frac_zero=self.frac_zero), TestLshTreeNode( self.hash_prefix + '1', self.nonprivate_points[cutoff:], self.clustering_param, self.sim_hash, private_count=len(self.nonprivate_points) - cutoff + 1, frac_zero=self.frac_zero) ] def __eq__(self, other): """Returns whether hash_prefix and private_count are the same for tests.""" if not isinstance(other, TestLshTreeNode): return False return self.hash_prefix == other.hash_prefix and (self.private_count == other.private_count) class LshTreeTest(absltest.TestCase): @mock.patch.object(stats.dlaplace, 'rvs', return_value=-5, autospec=True) def test_get_private_count_basic(self, mock_dlaplace_fn): nonprivate_count = 30 nonprivate_points = get_test_origin_points( nonprivate_count=nonprivate_count) clustering_param = test_utils.get_test_clustering_param( epsilon=5, frac_sum=0.2, frac_group_count=0.8, max_depth=9) sim_hash = get_test_sim_hash() lsh_tree_node = lsh_tree.LshTreeNode( hash_prefix='', nonprivate_points=nonprivate_points, clustering_param=clustering_param, sim_hash=sim_hash) self.assertEqual(lsh_tree_node.get_private_count(), 25) mock_dlaplace_fn.assert_called_once_with(0.4) def test_get_private_count_cache(self): nonprivate_count = 30 nonprivate_points = get_test_origin_points( nonprivate_count=nonprivate_count) clustering_param = test_utils.get_test_clustering_param(epsilon=0.01) sim_hash = get_test_sim_hash() lsh_tree_node = lsh_tree.LshTreeNode( hash_prefix='', nonprivate_points=nonprivate_points, clustering_param=clustering_param, sim_hash=sim_hash) first_private_count = lsh_tree_node.get_private_count() self.assertEqual(first_private_count, lsh_tree_node.get_private_count()) def test_get_children(self): hash_prefix, dim, max_hash_len = '0', 5, 2 datapoints = np.array([[1.5, 0, 1, 0.5, 0], [1, 1, 0, 0.7, 0.1], [0.8, 0.1, 1, 0.2, 0.4], [0.1, 0.5, 0.3, 0.7, 0.8], [-0.5, 0.1, -0.3, -0.4, 0.2]]) # Returns children regardless of whether the node should branch. The # filtering in the algorithm is done after. clustering_param = test_utils.get_test_clustering_param( max_depth=max_hash_len) projection_vectors = np.array([[0, 1, 1, -1, 0], [1, 0, -1, 0, 0]]) sh = lsh.SimHash(dim, max_hash_len, projection_vectors) node = lsh_tree.LshTreeNode(hash_prefix, datapoints, clustering_param, sh) children = node.children() self.assertSameElements([child.hash_prefix for child in children], ['00', '01']) for child in children: self.assertEqual(child.clustering_param, clustering_param) self.assertEqual(child.sim_hash, sh) if child.hash_prefix == '00': self.assertTrue((child.nonprivate_points == datapoints[[0, 1]]).all()) if child.hash_prefix == '01': self.assertTrue((child.nonprivate_points == datapoints[[2, 3, 4]]).all()) def test_get_children_one_empty(self): hash_prefix, dim, max_hash_len = '0', 5, 2 datapoints = np.array([[1.5, 0, 1, 0.5, 0], [1, 1, 0, 0.7, 0.1]]) # Returns children regardless of whether the node should branch. The # filtering in the algorithm is done after. clustering_param = test_utils.get_test_clustering_param( max_depth=max_hash_len) projection_vectors = np.array([[0, 1, 1, -1, 0], [1, 0, -1, 0, 0]]) sh = lsh.SimHash(dim, max_hash_len, projection_vectors) node = lsh_tree.LshTreeNode(hash_prefix, datapoints, clustering_param, sh) children = node.children() self.assertSameElements([child.hash_prefix for child in children], ['00', '01']) for child in children: self.assertEqual(child.clustering_param, clustering_param) self.assertEqual(child.sim_hash, sh) if child.hash_prefix == '00': self.assertTrue((child.nonprivate_points == datapoints[[0, 1]]).all()) if child.hash_prefix == '01': self.assertEmpty(child.nonprivate_points) def test_get_children_error(self): hash_prefix, dim, max_hash_len = '00', 5, 2 datapoints = np.array([[1.5, 0, 1, 0.5, 0], [1, 1, 0, 0.7, 0.1]]) # Returns children regardless of whether the node should branch. The # filtering in the algorithm is done after. clustering_param = test_utils.get_test_clustering_param( max_depth=max_hash_len) projection_vectors = np.array([[0, 1, 1, -1, 0], [1, 0, -1, 0, 0]]) sh = lsh.SimHash(dim, max_hash_len, projection_vectors) node = lsh_tree.LshTreeNode(hash_prefix, datapoints, clustering_param, sh) with self.assertRaises(ValueError): node.children() def test_filter_branching_nodes_too_few_points(self): sim_hash = get_test_sim_hash() # private_count, not the nonprivate_count, should be used for the check. level: lsh_tree.LshTreeLevel = [ lsh_tree.LshTreeNode( '0', get_test_origin_points(nonprivate_count=15), test_utils.get_test_clustering_param( min_num_points_in_branching_node=10), sim_hash, private_count=1), ] self.assertEmpty(lsh_tree.LshTree.filter_branching_nodes(level)) def test_filter_branching_nodes_enough_points(self): sim_hash = get_test_sim_hash() level: lsh_tree.LshTreeLevel = [ lsh_tree.LshTreeNode( '0', get_test_origin_points(nonprivate_count=15), test_utils.get_test_clustering_param( min_num_points_in_branching_node=10), sim_hash, private_count=20), ] self.assertSequenceEqual( lsh_tree.LshTree.filter_branching_nodes(level), level) def test_get_next_level_empty_list(self): self.assertEmpty(lsh_tree.LshTree.get_next_level([])) def test_get_next_level(self): sim_hash = get_test_sim_hash() clustering_param = test_utils.get_test_clustering_param( min_num_points_in_branching_node=10, min_num_points_in_node=5) level: lsh_tree.LshTreeLevel = [ TestLshTreeNode( '0', get_test_origin_points(nonprivate_count=16), clustering_param, sim_hash, private_count=20), ] expected_next_level = [ TestLshTreeNode( '00', get_test_origin_points(nonprivate_count=8), clustering_param, sim_hash, private_count=9), TestLshTreeNode( '01', get_test_origin_points(nonprivate_count=8), clustering_param, sim_hash, private_count=9), ] branching_nodes = lsh_tree.LshTree.filter_branching_nodes(level) self.assertSequenceEqual( lsh_tree.LshTree.get_next_level(branching_nodes), expected_next_level) def test_get_next_level_filters_children_node(self): sim_hash = get_test_sim_hash() clustering_param = test_utils.get_test_clustering_param( min_num_points_in_branching_node=10, min_num_points_in_node=9) level: lsh_tree.LshTreeLevel = [ # The children test nodes have a private count of 6, which is less than # min_num_points_in_node. TestLshTreeNode( '0', get_test_origin_points(nonprivate_count=10), clustering_param, sim_hash, private_count=11), # The children test nodes have a private count of 3 and 9, only the node # with 9 should be in the result. TestLshTreeNode( '1', get_test_origin_points(nonprivate_count=10), clustering_param, sim_hash, private_count=11, frac_zero=0.2), ] expected_next_level = [ TestLshTreeNode( '11', get_test_origin_points(nonprivate_count=8), clustering_param, sim_hash, private_count=9), ] branching_nodes = lsh_tree.LshTree.filter_branching_nodes(level) self.assertSequenceEqual( lsh_tree.LshTree.get_next_level(branching_nodes), expected_next_level) def test_root_node(self): nonprivate_points = [[1, 2, 1], [0.4, 0.2, 0.8], [3, 0, 3]] data = clustering_params.Data(nonprivate_points, radius=4.3) clustering_param = test_utils.get_test_clustering_param( radius=4.3, max_depth=20) root = lsh_tree.root_node(data, clustering_param) self.assertEqual(root.hash_prefix, '') self.assertSequenceEqual(root.nonprivate_points, nonprivate_points) self.assertEqual(root.clustering_param, clustering_param) self.assertEqual(root.sim_hash.dim, 3) self.assertEqual(root.sim_hash.max_hash_len, 20) self.assertIsNotNone(root.private_count) def test_root_node_provide_private_count(self): nonprivate_points = [[1, 2, 1], [0.4, 0.2, 0.8], [3, 0, 3]] data = clustering_params.Data(nonprivate_points, radius=4.3) clustering_param = test_utils.get_test_clustering_param( radius=4.3, max_depth=20) root = lsh_tree.root_node(data, clustering_param, private_count=10) self.assertEqual(root.hash_prefix, '') self.assertSequenceEqual(root.nonprivate_points, nonprivate_points) self.assertEqual(root.clustering_param, clustering_param) self.assertEqual(root.sim_hash.dim, 3) self.assertEqual(root.sim_hash.max_hash_len, 20) self.assertEqual(root.private_count, 10) def test_lsh_tree_empty_root_errors(self): test_root = lsh_tree.LshTreeNode( '0', get_test_origin_points(nonprivate_count=15), test_utils.get_test_clustering_param(), get_test_sim_hash(), private_count=0) with self.assertRaises(ValueError): lsh_tree.LshTree(test_root) def test_lsh_tree_negative_count_root_errors(self): test_root = lsh_tree.LshTreeNode( '0', get_test_origin_points(nonprivate_count=15), test_utils.get_test_clustering_param(), get_test_sim_hash(), private_count=-10) with self.assertRaises(ValueError): lsh_tree.LshTree(test_root) def test_lsh_tree(self): # Test tree: # Nodes are nonprivate count + 1. # Branches to the left are 0, to the right are 1. # Nodes in parentheses are filtered out. # 64+1 # / \ # 8+1 56+1 # / \ / \ # (1+1) 7+1 7+1 49+1 # / \ # (6+1) 43+1 nonprivate_count = 64 sh = get_test_sim_hash() cp = test_utils.get_test_clustering_param( min_num_points_in_node=8, min_num_points_in_branching_node=9, max_depth=3) test_root = TestLshTreeNode( '', get_test_origin_points(nonprivate_count), cp, sh, frac_zero=0.125) expected_tree = { 0: [TestLshTreeNode('', get_test_origin_points(64), cp, sh)], 1: [ TestLshTreeNode('0', get_test_origin_points(8), cp, sh), TestLshTreeNode('1', get_test_origin_points(56), cp, sh) ], 2: [ TestLshTreeNode('01', get_test_origin_points(7), cp, sh), TestLshTreeNode('10', get_test_origin_points(7), cp, sh), TestLshTreeNode('11', get_test_origin_points(49), cp, sh) ], 3: [TestLshTreeNode('111', get_test_origin_points(43), cp, sh)], } tree = lsh_tree.LshTree(test_root) self.assertEqual(tree.tree, expected_tree) def test_lsh_tree_branching_node_becomes_leaf(self): # Test tree: # Nodes are nonprivate count + 1. # Branches to the left are 0, to the right are 1. # Nodes in parentheses are filtered out. # 64+1 # / \ # 32+1 32+1 # / \ / \ # (16+1) (16+1) (16+1) (16+1) nonprivate_count = 64 sh = get_test_sim_hash() cp = test_utils.get_test_clustering_param( min_num_points_in_node=20, min_num_points_in_branching_node=30, max_depth=5) test_root = TestLshTreeNode( '', get_test_origin_points(nonprivate_count), cp, sh, frac_zero=0.5) expected_tree = { 0: [TestLshTreeNode('', get_test_origin_points(64), cp, sh)], 1: [ TestLshTreeNode('0', get_test_origin_points(32), cp, sh), TestLshTreeNode('1', get_test_origin_points(32), cp, sh), ] } tree = lsh_tree.LshTree(test_root) self.assertEqual(tree.tree, expected_tree) def test_lsh_tree_leaves(self): # Test tree: # Nodes are nonprivate count + 1. # Branches to the left are 0, to the right are 1. # Nodes in parentheses are filtered out. # 64+1 # / \ # 8+1 56+1 # / \ / \ # (1+1) 7+1 7+1 49+1 # / \ # (6+1) 43+1 nonprivate_count = 64 sh = get_test_sim_hash() cp = test_utils.get_test_clustering_param( min_num_points_in_node=8, min_num_points_in_branching_node=9, max_depth=3) test_root = TestLshTreeNode( '', get_test_origin_points(nonprivate_count), cp, sh, frac_zero=0.125) expected_leaves = [ TestLshTreeNode('01', get_test_origin_points(7), cp, sh), TestLshTreeNode('10', get_test_origin_points(7), cp, sh), TestLshTreeNode('111', get_test_origin_points(43), cp, sh) ] tree = lsh_tree.LshTree(test_root) self.assertEqual(tree.leaves, expected_leaves) def test_lsh_tree_leaves_branching_node_becomes_leaf(self): # Test tree: # Nodes are nonprivate count + 1. # Branches to the left are 0, to the right are 1. # Nodes in parentheses are filtered out. # 64+1 # / \ # 32+1 32+1 # / \ / \ # (16+1) (16+1) (16+1) (16+1) nonprivate_count = 64 sh = get_test_sim_hash() cp = test_utils.get_test_clustering_param( min_num_points_in_node=20, min_num_points_in_branching_node=30, max_depth=5) test_root = TestLshTreeNode( '', get_test_origin_points(nonprivate_count), cp, sh, frac_zero=0.5) expected_leaves = [ TestLshTreeNode('0', get_test_origin_points(32), cp, sh), TestLshTreeNode('1', get_test_origin_points(32), cp, sh), ] tree = lsh_tree.LshTree(test_root) self.assertEqual(tree.leaves, expected_leaves) if __name__ == '__main__': absltest.main()

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27d127c0f0c85b43548124299fcaf06f62f50791

265

py

Python

src/app/shopping_cart/models/shopping_cart_item.py

daniellima/desafio-lojaintegrada

3cb17f4ec9769472e111adfe6d550e668518aabd

[ "MIT" ]

null

src/app/shopping_cart/models/shopping_cart_item.py

daniellima/desafio-lojaintegrada

3cb17f4ec9769472e111adfe6d550e668518aabd

[ "MIT" ]

null

src/app/shopping_cart/models/shopping_cart_item.py

daniellima/desafio-lojaintegrada

3cb17f4ec9769472e111adfe6d550e668518aabd

[ "MIT" ]

null

class ShoppingCartItem: def __init__(self, id, name, price, quantity): self.id = id self.name = name self.price = price self.quantity = quantity @property def total_price(self): return self.price * self.quantity

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27d7b9398c07d22903a3dc5cf67b52a318be7203

44,298

py

Python

analyze_foldamers/parameters/angle_distributions.py

shirtsgroup/analyze_foldamers

17a7b948d1d0d4fbfb1d84d58753289404fb99a9

[ "MIT" ]

null

analyze_foldamers/parameters/angle_distributions.py

shirtsgroup/analyze_foldamers

17a7b948d1d0d4fbfb1d84d58753289404fb99a9

[ "MIT" ]

33

2020-08-05T23:00:56.000Z

2022-03-21T22:37:03.000Z

analyze_foldamers/parameters/angle_distributions.py

shirtsgroup/analyze_foldamers

17a7b948d1d0d4fbfb1d84d58753289404fb99a9

[ "MIT" ]

null

import os import numpy as np import mdtraj as md from simtk import unit from cg_openmm.cg_model.cgmodel import CGModel from analyze_foldamers.utilities.plot import plot_distribution from analyze_foldamers.parameters.bond_distributions import * import matplotlib import matplotlib.pyplot as plt import matplotlib.gridspec as gridspec from matplotlib.backends.backend_pdf import PdfPages from scipy.optimize import curve_fit # These functions calculate and plot bond angle and torsion distributions from a CGModel object and pdb trajectory def assign_angle_types(cgmodel, angle_list): """Internal function for assigning angle types""" ang_types = [] # List of angle types for each angle in angle_list ang_array = np.zeros((len(angle_list),3)) # Relevant angle types are added to a dictionary as they are discovered ang_dict = {} # Create an inverse dictionary for getting angle string name from integer type inv_ang_dict = {} # Counter for number of angle types found: i_angle_type = 0 # Assign angle types: for i in range(len(angle_list)): ang_array[i,0] = angle_list[i][0] ang_array[i,1] = angle_list[i][1] ang_array[i,2] = angle_list[i][2] particle_types = [ CGModel.get_particle_type_name(cgmodel,angle_list[i][0]), CGModel.get_particle_type_name(cgmodel,angle_list[i][1]), CGModel.get_particle_type_name(cgmodel,angle_list[i][2]) ] string_name = "" reverse_string_name = "" for particle in particle_types: string_name += f"{particle}_" string_name = string_name[:-1] for particle in reversed(particle_types): reverse_string_name += f"{particle}_" reverse_string_name = reverse_string_name[:-1] if (string_name in ang_dict.keys()) == False: # New angle type found, add to angle dictionary i_angle_type += 1 ang_dict[string_name] = i_angle_type ang_dict[reverse_string_name] = i_angle_type # For inverse dict we will use only the forward name based on first encounter inv_ang_dict[str(i_angle_type)] = string_name # print(f"adding new angle type {i_angle_type}: {string_name} to dictionary") # print(f"adding reverse version {i_angle_type}: {reverse_string_name} to dictionary") ang_types.append(ang_dict[string_name]) # Sort angles by type into separate sub arrays for mdtraj compute_angles ang_sub_arrays = {} for i in range(i_angle_type): ang_sub_arrays[str(i+1)] = np.zeros((ang_types.count(i+1),3)) # Counter vector for all angle types n_i = np.zeros((i_angle_type,1), dtype=int) for i in range(len(angle_list)): ang_sub_arrays[str(ang_types[i])][n_i[ang_types[i]-1],:] = ang_array[i,:] n_i[ang_types[i]-1] += 1 return ang_types, ang_array, ang_sub_arrays, n_i, i_angle_type, ang_dict, inv_ang_dict def assign_torsion_types(cgmodel, torsion_list): """Internal function for assigning torsion types""" torsion_types = [] # List of torsion types for each torsion in torsion_list torsion_array = np.zeros((len(torsion_list),4)) # Relevant torsion types are added to a dictionary as they are discovered torsion_dict = {} # Create an inverse dictionary for getting torsion string name from integer type inv_torsion_dict = {} # Counter for number of torsion types found: i_torsion_type = 0 for i in range(len(torsion_list)): torsion_array[i,0] = torsion_list[i][0] torsion_array[i,1] = torsion_list[i][1] torsion_array[i,2] = torsion_list[i][2] torsion_array[i,3] = torsion_list[i][3] particle_types = [ CGModel.get_particle_type_name(cgmodel,torsion_list[i][0]), CGModel.get_particle_type_name(cgmodel,torsion_list[i][1]), CGModel.get_particle_type_name(cgmodel,torsion_list[i][2]), CGModel.get_particle_type_name(cgmodel,torsion_list[i][3]) ] string_name = "" reverse_string_name = "" for particle in particle_types: string_name += f"{particle}_" string_name = string_name[:-1] for particle in reversed(particle_types): reverse_string_name += f"{particle}_" reverse_string_name = reverse_string_name[:-1] if (string_name in torsion_dict.keys()) == False: # New torsion type found, add to torsion dictionary i_torsion_type += 1 torsion_dict[string_name] = i_torsion_type torsion_dict[reverse_string_name] = i_torsion_type # For inverse dict we will use only the forward name based on first encounter inv_torsion_dict[str(i_torsion_type)] = string_name # print(f"adding new torsion type {i_torsion_type}: {string_name} to dictionary") # print(f"adding reverse version {i_torsion_type}: {reverse_string_name} to dictionary") torsion_types.append(torsion_dict[string_name]) # Sort torsions by type into separate sub arrays for mdtraj compute_dihedrals torsion_sub_arrays = {} for i in range(i_torsion_type): torsion_sub_arrays[str(i+1)] = np.zeros((torsion_types.count(i+1),4)) # Counter vector for all angle types n_i = np.zeros((i_torsion_type,1), dtype=int) for i in range(len(torsion_list)): torsion_sub_arrays[str(torsion_types[i])][n_i[torsion_types[i]-1],:] = torsion_array[i,:] n_i[torsion_types[i]-1] += 1 return torsion_types, torsion_array, torsion_sub_arrays, n_i, i_torsion_type, torsion_dict, inv_torsion_dict def calc_bond_angle_distribution( cgmodel, file_list, nbins=90, frame_start=0, frame_stride=1, frame_end=-1, plot_per_page=2, temperature_list=None, plotfile="angle_hist.pdf" ): """ Calculate and plot all bond angle distributions from a CGModel object and pdb trajectory :param cgmodel: CGModel() object :type cgmodel: class :param file_list: path to pdb or dcd trajectory file(s) :type file_list: str or list(str) :param nbins: number of bins spanning the range of 0 to 180 degrees, default = 90 :type nbins: int :param frame_start: First frame in trajectory file to use for analysis. :type frame_start: int :param frame_stride: Advance by this many frames when reading trajectories. :type frame_stride: int :param frame_end: Last frame in trajectory file to use for analysis. :type frame_end: int :param plot_per_page: number of subplots to display on each page (default=2) :type plot_per_page: int :param temperature_list: list of temperatures corresponding to file_list. If None, file names will be the plot labels. :type temperature_list: list(Quantity()) :param plotfile: Base filename for saving bond angle distribution pdf plots :type plotfile: str :returns: - angle_hist_data ( dict ) """ # Convert file_list to list if a single string: if type(file_list) == str: # Single file file_list = file_list.split() # Get angle list angle_list = CGModel.get_bond_angle_list(cgmodel) # Assign angle types: ang_types, ang_array, ang_sub_arrays, n_i, i_angle_type, ang_dict, inv_ang_dict = \ assign_angle_types(cgmodel, angle_list) # Create dictionary for saving angle histogram data: angle_hist_data = {} # Set bin edges: angle_bin_edges = np.linspace(0,180,nbins+1) angle_bin_centers = np.zeros((len(angle_bin_edges)-1,1)) for i in range(len(angle_bin_edges)-1): angle_bin_centers[i] = (angle_bin_edges[i]+angle_bin_edges[i+1])/2 file_index = 0 for file in file_list: # Load in a trajectory file: if file[-3:] == 'dcd': traj = md.load(file,top=md.Topology.from_openmm(cgmodel.topology)) else: traj = md.load(file) # Select frames for analysis: if frame_end == -1: frame_end = traj.n_frames traj = traj[frame_start:frame_end:frame_stride] nframes = traj.n_frames # Create inner dictionary for current file: if temperature_list is not None: file_key = f"{temperature_list[file_index].value_in_unit(unit.kelvin):.2f}" else: file_key = file[:-4] angle_hist_data[file_key] = {} for i in range(i_angle_type): # Compute all angle values in trajectory # This returns an [nframes x n_angles] array ang_val_array = md.compute_angles(traj,ang_sub_arrays[str(i+1)]) # Reshape arrays and convert to degrees: ang_val_array = (180/np.pi)*np.reshape(ang_val_array, (nframes*n_i[i][0],1)) # Histogram and plot results: n_out, bin_edges_out = np.histogram( ang_val_array, bins=angle_bin_edges,density=True) angle_hist_data[file_key][f"{inv_ang_dict[str(i+1)]}_density"]=n_out angle_hist_data[file_key][f"{inv_ang_dict[str(i+1)]}_bin_centers"]=angle_bin_centers file_index += 1 plot_distribution( inv_ang_dict, angle_hist_data, xlabel="Bond angle (degrees)", ylabel="Probability density", xlim=[0,180], figure_title="Angle distributions", file_name=f"{plotfile}", plot_per_page=plot_per_page ) return angle_hist_data def calc_torsion_distribution( cgmodel, file_list, nbins=180, frame_start=0, frame_stride=1, frame_end=-1, plot_per_page=2, temperature_list=None, plotfile="torsion_hist.pdf" ): """ Calculate and plot all torsion distributions from a CGModel object and pdb or dcd trajectory :param cgmodel: CGModel() object :type cgmodel: class :param file_list: path to pdb or dcd trajectory file(s) :type file_list: str or list(str) :param nbins: number of bins spanning the range of -180 to 180 degrees, default = 180 :type nbins: int :param frame_start: First frame in trajectory file to use for analysis. :type frame_start: int :param frame_stride: Advance by this many frames when reading trajectories. :type frame_stride: int :param frame_end: Last frame in trajectory file to use for analysis. :type frame_end: int :param plot_per_page: number of subplots to display on each page (default=2) :type plot_per_page: int :param temperature_list: list of temperatures corresponding to file_list. If None, file names will be the plot labels. :type temperature_list: list(Quantity()) :param plotfile: Base filename for saving torsion distribution pdf plots :type plotfile: str :returns: - torsion_hist_data ( dict ) """ # Convert file_list to list if a single string: if type(file_list) == str: # Single file file_list = file_list.split() # Get torsion list torsion_list = CGModel.get_torsion_list(cgmodel) # Assign torsion types torsion_types, torsion_array, torsion_sub_arrays, n_i, i_torsion_type, torsion_dict, inv_torsion_dict = \ assign_torsion_types(cgmodel, torsion_list) # Create dictionary for saving torsion histogram data: torsion_hist_data = {} # Set bin edges: torsion_bin_edges = np.linspace(-180,180,nbins+1) torsion_bin_centers = np.zeros((len(torsion_bin_edges)-1,1)) for i in range(len(torsion_bin_edges)-1): torsion_bin_centers[i] = (torsion_bin_edges[i]+torsion_bin_edges[i+1])/2 file_index = 0 for file in file_list: # Load in a trajectory file: if file[-3:] == 'dcd': traj = md.load(file,top=md.Topology.from_openmm(cgmodel.topology)) else: traj = md.load(file) # Select frames for analysis: if frame_end == -1: frame_end = traj.n_frames traj = traj[frame_start:frame_end:frame_stride] nframes = traj.n_frames # Create inner dictionary for current file: if temperature_list is not None: file_key = f"{temperature_list[file_index].value_in_unit(unit.kelvin):.2f}" else: file_key = file[:-4] torsion_hist_data[file_key] = {} for i in range(i_torsion_type): # Compute all torsion values in trajectory # This returns an [nframes x n_torsions] array torsion_val_array = md.compute_dihedrals( traj,torsion_sub_arrays[str(i+1)]) # Reshape arrays and convert to degrees: torsion_val_array = (180/np.pi)*np.reshape(torsion_val_array, (nframes*n_i[i][0],1)) # Histogram and plot results: n_out, bin_edges_out = np.histogram( torsion_val_array, bins=torsion_bin_edges,density=True) torsion_hist_data[file_key][f"{inv_torsion_dict[str(i+1)]}_density"]=n_out torsion_hist_data[file_key][f"{inv_torsion_dict[str(i+1)]}_bin_centers"]=torsion_bin_centers file_index += 1 plot_distribution( inv_torsion_dict, torsion_hist_data, xlabel="Torsion angle (degrees)", ylabel="Probability density", xlim=[-180,180], figure_title="Torsion_distributions", file_name=f"{plotfile}", plot_per_page=plot_per_page, ) return torsion_hist_data def calc_2d_distribution( cgmodel, file_list, nbin_xvar=180, nbin_yvar=180, frame_start=0, frame_stride=1, frame_end=-1, plotfile="2d_hist.pdf", xvar_name = "bb_bb_bb", yvar_name = "bb_bb_bb_bb", colormap="nipy_spectral", temperature_list=None, ): """ Calculate and plot 2d histogram for any 2 bonded variables, given a CGModel object and pdb or dcd trajectory. :param cgmodel: CGModel() object :type cgmodel: class :param file_list: path to pdb or dcd trajectory file(s) - can be a list or single string :type file_list: str or list(str) :param nbin_xvar: number of bins for x bonded variable :type nbin_xvar: int :param nbin_yvar: number of bins for y bonded variable :type nbin_yvar: :param frame_start: First frame in trajectory file to use for analysis. :type frame_start: int :param frame_stride: Advance by this many frames when reading trajectories. :type frame_stride: int :param frame_end: Last frame in trajectory file to use for analysis. :type frame_end: int :param plotfile: Filename for saving torsion distribution pdf plots :type plotfile: str :param xvar_name: particle sequence of the x bonded parameter (default="bb_bb_bb") :type xvar_name: str :param yvar_name: particle sequence of the y bonded parameter (default="bb_bb_bb_bb") :type yvar_name: str :param colormap: matplotlib pyplot colormap to use (default='nipy_spectral') :type colormap: str (case sensitive) :param temperature_list: list of temperatures corresponding to file_list. If None, no subplot labels will be used. :type temperature_list: list(Quantity()) :returns: - hist_data ( dict ) - xedges ( dict ) - yedges ( dict ) """ # Convert file_list to list if a single string: if type(file_list) == str: # Single file file_list = file_list.split() # Store angle, torsion values by filename for computing global colormap xvar_val_array = {} yvar_val_array = {} # Store the reverse name of the bonded type (need to check both) # x variable particle_list = [] particle = "" for c in xvar_name: if c == '_': particle_list.append(particle) particle = "" else: particle += c particle_list.append(particle) particle_list_reverse = particle_list[::-1] xvar_name_reverse = "" for par in particle_list_reverse: xvar_name_reverse += par xvar_name_reverse += "_" xvar_name_reverse = xvar_name_reverse[:-1] # y variable particle_list = [] particle = "" for c in yvar_name: if c == '_': particle_list.append(particle) particle = "" else: particle += c particle_list.append(particle) particle_list_reverse = particle_list[::-1] yvar_name_reverse = "" for par in particle_list_reverse: yvar_name_reverse += par yvar_name_reverse += "_" yvar_name_reverse = yvar_name_reverse[:-1] for file in file_list: # Load in a trajectory file: if file[-3:] == 'dcd': traj = md.load(file,top=md.Topology.from_openmm(cgmodel.topology)) else: traj = md.load(file) # Select frames for analysis: if frame_end == -1: frame_end = traj.n_frames traj = traj[frame_start:frame_end:frame_stride] nframes = traj.n_frames # x variable # Determine parameter type of xvar: n_particle_x = xvar_name.count('_')+1 if n_particle_x == 2: # Bond # Get bond list bond_list = CGModel.get_bond_list(cgmodel) # Assign bond types: bond_types, bond_array, bond_sub_arrays, n_i, i_bond_type, bond_dict, inv_bond_dict = \ assign_bond_types(cgmodel, bond_list) for i in range(i_bond_type): if inv_bond_dict[str(i+1)] == xvar_name or inv_bond_dict[str(i+1)] == xvar_name_reverse: # Compute all bond length values in trajectory # This returns an [nframes x n_bonds] array xvar_val_array[file] = md.compute_distances(traj,bond_sub_arrays[str(i+1)]) # Get equilibrium value: b_eq = cgmodel.get_bond_length(bond_sub_arrays[str(i+1)][0]) # Set bin edges: # This should be the same across all files - use heuristic from equilibrium bond length b_min = 0.5*b_eq.value_in_unit(unit.nanometer) b_max = 1.5*b_eq.value_in_unit(unit.nanometer) xvar_bin_edges = np.linspace(b_min,b_max,nbin_xvar+1) xvar_bin_centers = np.zeros((len(xvar_bin_edges)-1,1)) for i in range(len(xvar_bin_edges)-1): xvar_bin_centers[i] = (xvar_bin_edges[i]+xvar_bin_edges[i+1])/2 xlabel = f'{xvar_name} distance ({unit.nanometer})' elif n_particle_x == 3: # Angle # Get angle list angle_list = CGModel.get_bond_angle_list(cgmodel) # Assign angle types: ang_types, ang_array, ang_sub_arrays, n_i, i_angle_type, ang_dict, inv_ang_dict = \ assign_angle_types(cgmodel, angle_list) # Set bin edges: xvar_bin_edges = np.linspace(0,180,nbin_xvar+1) xvar_bin_centers = np.zeros((len(xvar_bin_edges)-1,1)) for i in range(len(xvar_bin_edges)-1): xvar_bin_centers[i] = (xvar_bin_edges[i]+xvar_bin_edges[i+1])/2 for i in range(i_angle_type): if inv_ang_dict[str(i+1)] == xvar_name or inv_ang_dict[str(i+1)] == xvar_name_reverse: # Compute all angle values in trajectory # This returns an [nframes x n_angles] array xvar_val_array[file] = md.compute_angles(traj,ang_sub_arrays[str(i+1)]) # Convert to degrees: xvar_val_array[file] *= (180/np.pi) xlabel = f'{xvar_name} angle (degrees)' elif n_particle_x == 4: # Torsion # Get torsion list torsion_list = CGModel.get_torsion_list(cgmodel) # Assign torsion types torsion_types, torsion_array, torsion_sub_arrays, n_j, i_torsion_type, torsion_dict, inv_torsion_dict = \ assign_torsion_types(cgmodel, torsion_list) # Set bin edges: xvar_bin_edges = np.linspace(-180,180,nbin_xvar+1) xvar_bin_centers = np.zeros((len(xvar_bin_edges)-1,1)) for i in range(len(xvar_bin_edges)-1): xvar_bin_centers[i] = (xvar_bin_edges[i]+xvar_bin_edges[i+1])/2 for i in range(i_torsion_type): if inv_torsion_dict[str(i+1)] == xvar_name or inv_torsion_dict[str(i+1)] == xvar_name_reverse: # Compute all torsion values in trajectory # This returns an [nframes x n_torsions] array xvar_val_array[file] = md.compute_dihedrals( traj,torsion_sub_arrays[str(i+1)]) # Convert to degrees: xvar_val_array[file] *= (180/np.pi) xlabel = f'{xvar_name} angle (degrees)' # y variable # Determine parameter type of yvar: n_particle_y = yvar_name.count('_')+1 if n_particle_y == 2: # Bond # Get bond list bond_list = CGModel.get_bond_list(cgmodel) # Assign bond types: bond_types, bond_array, bond_sub_arrays, n_i, i_bond_type, bond_dict, inv_bond_dict = \ assign_bond_types(cgmodel, bond_list) for i in range(i_bond_type): if inv_bond_dict[str(i+1)] == yvar_name or inv_bond_dict[str(i+1)] == yvar_name_reverse: # Compute all bond length values in trajectory # This returns an [nframes x n_bonds] array yvar_val_array[file] = md.compute_distances(traj,bond_sub_arrays[str(i+1)]) # Get equilibrium value: b_eq = cgmodel.get_bond_length(bond_sub_arrays[str(i+1)][0]) # Set bin edges: # This should be the same across all files - use heuristic from equilibrium bond length b_min = 0.5*b_eq.value_in_unit(unit.nanometer) b_max = 1.5*b_eq.value_in_unit(unit.nanometer) yvar_bin_edges = np.linspace(b_min,b_max,nbin_yvar+1) yvar_bin_centers = np.zeros((len(yvar_bin_edges)-1,1)) for i in range(len(yvar_bin_edges)-1): yvar_bin_centers[i] = (yvar_bin_edges[i]+yvar_bin_edges[i+1])/2 ylabel = f'{yvar_name} distance ({unit.nanometer})' elif n_particle_y == 3: # Angle # Get angle list angle_list = CGModel.get_bond_angle_list(cgmodel) # Assign angle types: ang_types, ang_array, ang_sub_arrays, n_i, i_angle_type, ang_dict, inv_ang_dict = \ assign_angle_types(cgmodel, angle_list) # Set bin edges: yvar_bin_edges = np.linspace(0,180,nbin_yvar+1) yvar_bin_centers = np.zeros((len(yvar_bin_edges)-1,1)) for i in range(len(yvar_bin_edges)-1): yvar_bin_centers[i] = (yvar_bin_edges[i]+yvar_bin_edges[i+1])/2 for i in range(i_angle_type): if inv_ang_dict[str(i+1)] == yvar_name or inv_ang_dict[str(i+1)] == yvar_name_reverse: # Compute all angle values in trajectory # This returns an [nframes x n_angles] array yvar_val_array[file] = md.compute_angles(traj,ang_sub_arrays[str(i+1)]) # Convert to degrees: yvar_val_array[file] *= (180/np.pi) ylabel = f'{yvar_name} angle (degrees)' elif n_particle_y == 4: # Torsion # Get torsion list torsion_list = CGModel.get_torsion_list(cgmodel) # Assign torsion types torsion_types, torsion_array, torsion_sub_arrays, n_j, i_torsion_type, torsion_dict, inv_torsion_dict = \ assign_torsion_types(cgmodel, torsion_list) # Set bin edges: yvar_bin_edges = np.linspace(-180,180,nbin_yvar+1) yvar_bin_centers = np.zeros((len(yvar_bin_edges)-1,1)) for i in range(len(yvar_bin_edges)-1): yvar_bin_centers[i] = (yvar_bin_edges[i]+yvar_bin_edges[i+1])/2 for i in range(i_torsion_type): if inv_torsion_dict[str(i+1)] == yvar_name or inv_torsion_dict[str(i+1)] == yvar_name_reverse: # Compute all torsion values in trajectory # This returns an [nframes x n_torsions] array yvar_val_array[file] = md.compute_dihedrals( traj,torsion_sub_arrays[str(i+1)]) # Convert to degrees: yvar_val_array[file] *= (180/np.pi) ylabel = f'{yvar_name} angle (degrees)' # Since the bonded variables may have different numbers of observables, we can use all # combinations of the 2 parameter observables to create the histograms. xvar_val_array_combo = {} yvar_val_array_combo = {} # Each array of single observables is [n_frames x n_occurances] # x value arrays should be [xval0_y0, xval1_y0, ...xvaln_y0, ... xval0_yn, xval1_yn, xvaln_yn] # y value arrays should be [yval0_x0, yval0_x1, ...yval0_xn, ... yvaln_x0, yvaln_x1, yvaln_xn] for file in file_list: n_occ_x = xvar_val_array[file].shape[1] n_occ_y = yvar_val_array[file].shape[1] xvar_val_array_combo[file] = np.zeros((nframes,n_occ_x*n_occ_y)) yvar_val_array_combo[file] = np.zeros_like(xvar_val_array_combo[file]) for iy in range(n_occ_y): xvar_val_array_combo[file][:,(iy*n_occ_x):((iy+1)*n_occ_x)] = xvar_val_array[file] for ix in range(n_occ_x): yvar_val_array_combo[file][:,ix+iy*n_occ_x] = yvar_val_array[file][:,iy] # Reshape arrays for histogramming: xvar_val_array_combo[file] = np.reshape(xvar_val_array_combo[file], (nframes*n_occ_x*n_occ_y,1)) yvar_val_array_combo[file] = np.reshape(yvar_val_array_combo[file], (nframes*n_occ_x*n_occ_y,1)) # 2d histogram the data and plot: hist_data, xedges, yedges = plot_2d_distribution( file_list, xvar_val_array_combo, yvar_val_array_combo, xvar_bin_edges, yvar_bin_edges, plotfile, colormap, xlabel, ylabel, temperature_list=temperature_list) return hist_data, xedges, yedges def calc_ramachandran( cgmodel, file_list, nbin_theta=180, nbin_alpha=180, frame_start=0, frame_stride=1, frame_end=-1, plotfile="ramachandran.pdf", backbone_angle_type = "bb_bb_bb", backbone_torsion_type = "bb_bb_bb_bb", colormap="nipy_spectral", temperature_list=None, ): """ Calculate and plot ramachandran plot for backbone bond bending-angle and torsion angle, given a CGModel object and pdb or dcd trajectory. :param cgmodel: CGModel() object :type cgmodel: class :param file_list: path to pdb or dcd trajectory file(s) - can be a list or single string :type file_list: str or list(str) :param nbin_theta: number of bins for bond-bending angle (spanning from 0 to 180 degrees) :type nbin_theta: int :param nbin_alpha: number of bins for torsion angle (spanning from -180 to +180 degrees) :type nbin_alpha: :param frame_start: First frame in trajectory file to use for analysis. :type frame_start: int :param frame_stride: Advance by this many frames when reading trajectories. :type frame_stride: int :param frame_end: Last frame in trajectory file to use for analysis. :type frame_end: int :param plotfile: Filename for saving torsion distribution pdf plots :type plotfile: str :param backbone_angle_type: particle sequence of the backbone angles (default="bb_bb_bb") - for now only single sequence permitted :type backbone_angle_type: str :param backbone_torsion_type: particle sequence of the backbone angles (default="bb_bb_bb_bb") - for now only single sequence permitted :type backbone_torsion_type: str :param colormap: matplotlib pyplot colormap to use (default='nipy_spectral') :type colormap: str (case sensitive) :param temperature_list: list of temperatures corresponding to file_list. If None, no subplot labels will be used. :type temperature_list: list(Quantity()) :returns: - hist_data ( dict ) - xedges ( dict ) - yedges ( dict ) """ # Convert file_list to list if a single string: if type(file_list) == str: # Single file file_list = file_list.split() # Store angle, torsion values by filename for computing global colormap ang_val_array = {} torsion_val_array = {} for file in file_list: # Load in a trajectory file: if file[-3:] == 'dcd': traj = md.load(file,top=md.Topology.from_openmm(cgmodel.topology)) else: traj = md.load(file) # Select frames for analysis: if frame_end == -1: frame_end = traj.n_frames traj = traj[frame_start:frame_end:frame_stride] nframes = traj.n_frames # Get angle list angle_list = CGModel.get_bond_angle_list(cgmodel) # Assign angle types: ang_types, ang_array, ang_sub_arrays, n_i, i_angle_type, ang_dict, inv_ang_dict = \ assign_angle_types(cgmodel, angle_list) # Set bin edges: angle_bin_edges = np.linspace(0,180,nbin_theta+1) angle_bin_centers = np.zeros((len(angle_bin_edges)-1,1)) for i in range(len(angle_bin_edges)-1): angle_bin_centers[i] = (angle_bin_edges[i]+angle_bin_edges[i+1])/2 for i in range(i_angle_type): if inv_ang_dict[str(i+1)] == backbone_angle_type: # Compute all angle values in trajectory # This returns an [nframes x n_angles] array ang_val_array[file] = md.compute_angles(traj,ang_sub_arrays[str(i+1)]) # We will have different numbers of bond-bending angle and torsion angle. # We will set a convention of omitting the last angle value. # Convert to degrees and exclude last angle: ang_val_array[file] = (180/np.pi)*ang_val_array[file][:,:-1] # Reshape array: ang_val_array[file] = np.reshape(ang_val_array[file], (nframes*(n_i[i]-1)[0],1)) # Get torsion list torsion_list = CGModel.get_torsion_list(cgmodel) # Assign torsion types torsion_types, torsion_array, torsion_sub_arrays, n_j, i_torsion_type, torsion_dict, inv_torsion_dict = \ assign_torsion_types(cgmodel, torsion_list) # Set bin edges: torsion_bin_edges = np.linspace(-180,180,nbin_alpha+1) torsion_bin_centers = np.zeros((len(torsion_bin_edges)-1,1)) for i in range(len(torsion_bin_edges)-1): torsion_bin_centers[i] = (torsion_bin_edges[i]+torsion_bin_edges[i+1])/2 for i in range(i_torsion_type): if inv_torsion_dict[str(i+1)] == backbone_torsion_type: # Compute all torsion values in trajectory # This returns an [nframes x n_torsions] array torsion_val_array[file] = md.compute_dihedrals( traj,torsion_sub_arrays[str(i+1)]) # Convert to degrees: torsion_val_array[file] *= (180/np.pi) # Reshape array torsion_val_array[file] = np.reshape(torsion_val_array[file], (nframes*n_j[i][0],1)) # 2d histogram the data and plot: hist_data, xedges, yedges = plot_2d_distribution( file_list, torsion_val_array, ang_val_array, torsion_bin_edges, angle_bin_edges, plotfile, colormap, xlabel='Alpha (degrees)', ylabel='Theta (degrees)', temperature_list=temperature_list) return hist_data, xedges, yedges def plot_2d_distribution(file_list, xvar_val_array, yvar_val_array, xvar_bin_edges, yvar_bin_edges, plotfile, colormap, xlabel, ylabel, temperature_list=None): """Internal function for 2d histogramming bonded observable data and creating 2d plots""" # Store 2d histogram output hist_data = {} xedges = {} yedges = {} image = {} # Determine optimal subplot layout nseries = len(file_list) # This favors more rows instead of more columns: # If not a square number of series, an extra row is needed: nrow = int(np.ceil(np.sqrt(nseries)))+2+(nseries%(np.ceil(np.sqrt(nseries)))!=0) ncol = int(np.ceil(nseries/(nrow-1)))+2 # Initialize plot figure = plt.figure( constrained_layout=True, figsize=(11,8.5), ) # Gridspec width and height ratios: # Add extra space on sides for labels / colorbar widths = np.ones(ncol) widths[0]=0.1 widths[-1]=0.01 heights = np.ones(nrow) heights[0] = 0.1 heights[-1] = 0.1 fig_specs = figure.add_gridspec( ncols=ncol, nrows=nrow, width_ratios=widths, height_ratios=heights ) subplot_id = 1 for file in file_list: # Accounting for blank gridspec at the borders: row = int(np.ceil(subplot_id/(ncol-2))) col = 1+int((subplot_id-1)%(ncol-2)) # axs subplot object is only subscriptable in dimensions it has multiple entries in if nrow > 1 and ncol > 1: ax = figure.add_subplot(fig_specs[row,col]) hist_data_out, xedges_out, yedges_out, image_out = ax.hist2d( xvar_val_array[file][:,0], yvar_val_array[file][:,0], bins=[xvar_bin_edges,yvar_bin_edges], density=True, ) if ncol > 1 and nrow == 1: ax = figure.add_subplot(fig_specs[row,col]) hist_data_out, xedges_out, yedges_out, image_out = ax.hist2d( xvar_val_array[file][:,0], yvar_val_array[file][:,0], bins=[xvar_bin_edges,yvar_bin_edges], density=True, ) if ncol == 1 and nrow == 1: ax = figure.add_subplot(fig_specs[row,col]) hist_data_out, xedges_out, yedges_out, image_out = ax.hist2d( xvar_val_array[file][:,0], yvar_val_array[file][:,0], bins=[xvar_bin_edges,yvar_bin_edges], density=True, ) hist_data[file[:-4]] = hist_data_out xedges[file[:-4]] = xedges_out yedges[file[:-4]] = yedges_out image[file[:-4]] = image_out #axs[row,col].set_title(file) subplot_id += 1 plt.close() # Renormalize data to global maximum: max_global = 0 for key, val in hist_data.items(): max_i = np.amax(val) if max_i > max_global: max_global = max_i # Re-initialize plot figure = plt.figure( constrained_layout=True, figsize=(11,8.5), ) fig_specs = figure.add_gridspec( ncols=ncol, nrows=nrow, width_ratios=widths, height_ratios=heights ) # Update the colormap normalization: cmap=plt.get_cmap(colormap) norm=matplotlib.colors.Normalize(vmin=0,vmax=max_global) subplot_id = 1 for file in file_list: # Renormalize quadmesh images # There should be a way to do this using QuadMesh.set_norm. # For now just replot the data: # Accounting for blank gridspec at the borders: row = int(np.ceil(subplot_id/(ncol-2))) col = 1+int((subplot_id-1)%(ncol-2)) if nrow > 1 and ncol > 1: ax = figure.add_subplot(fig_specs[row,col]) hist_data_out, xedges_out, yedges_out, image_out = ax.hist2d( xvar_val_array[file][:,0], yvar_val_array[file][:,0], bins=[xvar_bin_edges,yvar_bin_edges], density=True, cmap=cmap, norm=norm, ) if temperature_list is not None: xlim = ax.get_xlim() ylim = ax.get_ylim() ax.text( (xlim[0]+0.1*(xlim[1]-xlim[0])), (ylim[0]+0.1*(ylim[1]-ylim[0])), f'{temperature_list[subplot_id-1].value_in_unit(unit.kelvin):<.2f} K', {'fontsize': 10,'color': 'w'}, ) if ncol > 1 and nrow == 1: ax = figure.add_subplot(fig_specs[row,col]) hist_data_out, xedges_out, yedges_out, image_out = ax.hist2d( xvar_val_array[file][:,0], yvar_val_array[file][:,0], bins=[xvar_bin_edges,yvar_bin_edges], density=True, cmap=cmap, norm=norm, ) if temperature_list is not None: xlim = ax.get_xlim() ylim = ax.get_ylim() ax.text( (xlim[0]+0.1*(xlim[1]-xlim[0])), (ylim[0]+0.1*(ylim[1]-ylim[0])), f'{temperature_list[subplot_id-1].value_in_unit(unit.kelvin):<.2f} K', {'fontsize': 10,'color': 'w'}, ) if ncol == 1 and nrow == 1: ax = figure.add_subplot(fig_specs[row,col]) hist_data_out, xedges_out, yedges_out, image_out = ax.hist2d( xvar_val_array[file][:,0], yvar_val_array[file][:,0], bins=[xvar_bin_edges,yvar_bin_edges], density=True, cmap=cmap, norm=norm, ) if temperature_list is not None: xlim = ax.get_xlim() ylim = ax.get_ylim() ax.text( (xlim[0]+0.1*(xlim[1]-xlim[0])), (ylim[0]+0.1*(ylim[1]-ylim[0])), f'{temperature_list[subplot_id-1].value_in_unit(unit.kelvin):<.2f} K', {'fontsize': 10,'color': 'w'}, ) hist_data[file[:-4]] = hist_data_out xedges[file[:-4]] = xedges_out yedges[file[:-4]] = yedges_out image[file[:-4]] = image_out subplot_id += 1 # Add common axis labels to border gridspec axes: ax_west = figure.add_subplot(fig_specs[:,0], frameon=False) ax_east = figure.add_subplot(fig_specs[:,-1], frameon=False) ax_south = figure.add_subplot(fig_specs[-1,1:-1], frameon=False) ax_north = figure.add_subplot(fig_specs[0,1:-1], frameon=False) # Add colorbar to right side: plt.colorbar( matplotlib.cm.ScalarMappable(norm=norm, cmap=cmap), ax=ax_east, shrink=0.5, fraction=1.0, pad=0, label='probability density') ax_south.set_xlabel(xlabel, fontsize=14) ax_south.xaxis.set_label_coords(0.5,0.5) ax_west.set_ylabel(ylabel, fontsize=14) ax_west.yaxis.set_label_coords(0.5,0.5) ax_east.tick_params(labelcolor='none', top=False, bottom=False, left=False, right=False) ax_west.tick_params(labelcolor='none', top=False, bottom=False, left=False, right=False) ax_south.tick_params(labelcolor='none', top=False, bottom=False, left=False, right=False) ax_north.tick_params(labelcolor='none', top=False, bottom=False, left=False, right=False) plt.savefig(plotfile) plt.close() return hist_data, xedges, yedges def fit_ramachandran_data(hist_data, xedges, yedges): """ Calculate and plot ramachandran plot for backbone bond bending-angle and torsion angle, given a CGModel object and pdb or dcd trajectory. :param hist_data: dictionary containing 2D histogram data for one or more data series :type hist_data: dict {series_name: 2D numpy array} :param xedges: dictionary containing bin edges corresponding to x dimension of hist_data :type xedges: dict {series_name: 1D numpy array} :param yedges: dictionary containing bin edges corresponding to y dimension of hist_data :type yedges: dict {series_name: 1D numpy array} """ # Fit to 2d symmetric gaussian: def two_gauss(xy,a,x0,y0,c): x, y = xy return a*np.exp(-((np.power((x-x0),2) + 0.5*np.power((y-y0),2))/(2*np.power(c,2)))) param_opt = {} param_cov = {} for key,value in hist_data.items(): z_data = value max_xy_index = np.unravel_index(np.argmax(z_data, axis=None), z_data.shape) max_x = (xedges[key][max_xy_index[0]]+xedges[key][max_xy_index[0]+1])/2 max_y = (yedges[key][max_xy_index[1]]+yedges[key][max_xy_index[1]+1])/2 param_guess = [0.01,max_x,max_y,5] x_centers = xedges[key][:-1] + (xedges[key][1]-xedges[key][0])/2 y_centers = yedges[key][:-1] + (yedges[key][1]-yedges[key][0])/2 x_data, y_data = np.meshgrid(x_centers, y_centers) # Ravel x,y data to a pair of 1D arrays xy_data = np.vstack((x_data.ravel(), y_data.ravel())) param_opt[key], param_cov[key] = curve_fit(two_gauss, xy_data, z_data.ravel(), param_guess) return param_opt, param_cov

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140

0.581922

5,781

44,298

4.204117

0.075247

0.02765

0.017281

0.011768

0.799539

0.756707

0.707332

0.680094

0.651745

0.621914

0

0.017695

0.327667

44,298

1,130

141

39.20177

0.798341

0.260892

0

0.556326

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0.035111

0.015558

0

1

0.015598

false

0

0.020797

0

0.051993

0

null

0

1

0

1

0

null

0

3

27e9e714cffe99cb6be45c29744ab5043b823c28

3,343

py

Python

app/models.py

Anitha987/Blog-web

354a886892553277787a4abc1e5f68a57059144c

[ "Unlicense" ]

null

app/models.py

Anitha987/Blog-web

354a886892553277787a4abc1e5f68a57059144c

[ "Unlicense" ]

null

app/models.py

Anitha987/Blog-web

354a886892553277787a4abc1e5f68a57059144c

[ "Unlicense" ]

null

from werkzeug.security import generate_password_hash,check_password_hash from flask_login import UserMixin from .import db,login_manager from datetime import datetime @login_manager.user_loader def load_user(user_id): return User.query.get(int(user_id)) class Quote: ''' Quote class to define Quote Objects ''' def __init__(self,id,author,quote): self.id =id self.author = author self.quote= quote class User(UserMixin, db.Model): __tablename__ = 'users' id = db.Column(db.Integer,primary_key = True) username = db.Column(db.String(255),index=True) email= db.Column(db.String(225),unique=True,index=True) pass_secure=db.Column(db.String(255)) blogs= db.relationship('Blog',backref='user',lazy = "dynamic") comments= db.relationship('Comment',backref='user',lazy = "dynamic") bio = db.Column(db.String(255)) profile_pic_path = db.Column(db.String()) password_hash = db.Column(db.String(255)) photoprofiles = db.relationship('PhotoProfile',backref='user',lazy = "dynamic") @property def password(self): raise AttributeError('You cannot read the password attribute') @password.setter def password(self, password): self.pass_secure = generate_password_hash(password) def verify_password(self,password): return check_password_hash(self.pass_secure,password) def __repr__(self): return f'User {self.username}' class Blog(db.Model): __tablename__ = 'blogs' id = db.Column(db.Integer,primary_key = True) name = db.Column(db.String(255)) content=db.Column(db.String(255)) category = db.Column(db.Integer,db.ForeignKey('categories.id')) posted = db.Column(db.DateTime,default=datetime.utcnow) user_id= db.Column(db.Integer,db.ForeignKey('users.id')) comments = db.relationship('Comment',backref = 'blogs',lazy="dynamic") def __repr__(self): return f'User {self.name}' def save_blog(self): db.session.add(self) db.session.commit() @classmethod def get_blogs(cls): blog = blog.query.all() return blogs class Category(db.Model): __tablename__= 'categories' id = db.Column(db.Integer,primary_key=True) name = db.Column(db.String(255)) def save_category(self): db.session.add(self) db.session.commit() @classmethod def get_categories(cls): categories = Category.query.all() # category= Category.get_categories() return categories class Comment(db.Model): __tablename__='comments' id = db.Column(db.Integer,primary_key=True) comment =db.Column(db.String(1000)) user_id = db.Column(db.Integer,db.ForeignKey('users.id')) blog_id = db.Column(db.Integer,db.ForeignKey('blogs.id')) def save_comment(self): db.session.add(self) db.session.commit() @classmethod def get_comments(cls): comment = comment.query.all() return comments def __repr__(self): return f'Comment{self.comment}' class Subcription(UserMixin,db.Model): __tablename__ = 'subcription' id = db.Column(db.Integer,primary_key=True) email = db.Column(db.String(255),unique=True,index=True,nullable=False) def __repr__(self): return f'{self.email}' class PhotoProfile(db.Model): __tablename__='photoprofiles' id=db.Column(db.Integer,primary_key=True) pic_path = db.Column(db.String()) user_id=db.Column(db.Integer,db.ForeignKey("users.id"))

27.628099

81

0.715226

464

3,343

4.971983

0.200431

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0.104031

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0.405722

0.316428

0.263979

0.228002

0.170785

0

0.010862

0.146276

3,343

120

82

27.858333

0.797477

0.021538

0

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1

0

0.085635

0.006446

0

1

0.168539

false

0.11236

0.044944

0.067416

0.775281

0

null

0

1

0

null

0

1

0

1

0

3

7e03e6ceed24a7e34e49ae1891b0a9c41609eac3

196

py

Python

Python/december cls ex4.py

thebiebs/python-practise-exercises

28db498f35ec6f9bdd437f54c91990027f4b9436

[ "MIT" ]

null

Python/december cls ex4.py

thebiebs/python-practise-exercises

28db498f35ec6f9bdd437f54c91990027f4b9436

[ "MIT" ]

null

Python/december cls ex4.py

thebiebs/python-practise-exercises

28db498f35ec6f9bdd437f54c91990027f4b9436

[ "MIT" ]

null

a = [3, 8, 5, 1, 8, 9, 4, 9, 6, 4, 3, 7] b = list (set (a)) for i in range (len(b)): for j in range (i+1,len (b)): if b[i]>b[j]: b[i] , b[j] = b[j], b[i] print (b)

28

42

0.377551

46

196

1.608696

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0.081081

0.121622

0.108108

0.121622

0

0.104839

0.367347

196

7

43

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0.491935

0

1

0

false

0

0.142857

0

1

null

0

1

0

1

0

null

0

3

fd7ce0569f9a5ed0cc8230a24dcc7c7d0e559233

6,545

py

Python

examples/get_albums.py

leerssej/freebase-python

a8a5ebfd56a11f6eb6e5a6e14a5429aa85a49727

[ "BSD-2-Clause" ]

1

2016-12-08T12:33:36.000Z

examples/get_albums.py

yuvadm/freebase-python

e1d4ab54c0b0816b87c3f9727100db37288d6818

[ "BSD-2-Clause" ]

null

examples/get_albums.py

yuvadm/freebase-python

e1d4ab54c0b0816b87c3f9727100db37288d6818

[ "BSD-2-Clause" ]

2

2016-02-29T22:56:16.000Z

2021-01-08T04:23:45.000Z

#!/usr/bin/python # ======================================================================== # Copyright (c) 2007, Metaweb Technologies, Inc. # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above # copyright notice, this list of conditions and the following # disclaimer in the documentation and/or other materials provided # with the distribution. # # THIS SOFTWARE IS PROVIDED BY METAWEB TECHNOLOGIES AND CONTRIBUTORS # ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS # FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL METAWEB # TECHNOLOGIES OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, # INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, # BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; # LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER # CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT # LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN # ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE # POSSIBILITY OF SUCH DAMAGE. # ======================================================================== import freebase query = { "id" : "/en/the_beatles", "type" : "/music/artist", "album" : [{ "name" : None, "release_date" : None, "track": { "return" : "count" }, "sort" : "release_date" }] } results = freebase.mqlread(query) for album in results.album: print "Album \"" + album.name + "\" has " + str(album.track) + " tracks." # Album "Please Please Me" has 14 tracks. # Album "From Me to You" has 2 tracks. # Album "Introducing... The Beatles" has 24 tracks. # Album "She Loves You" has 2 tracks. # Album "With the Beatles" has 14 tracks. # Album "I Want to Hold Your Hand" has 2 tracks. # Album "Meet the Beatles" has 12 tracks. # Album "Second Album" has 11 tracks. # Album "Something New" has 11 tracks. # Album "A Hard Day's Night" has 36 tracks. # Album "I Feel Fine" has 2 tracks. # Album "Beatles for Sale" has 14 tracks. # Album "Beatles '65" has 11 tracks. # Album "The Early Beatles" has 11 tracks. # Album "Beatles VI" has 11 tracks. # Album "Help! / I'm Down" has 2 tracks. # Album "Help!" has 14 tracks. # Album "Rubber Soul" has 14 tracks. # Album "We Can Work It Out / Day Tripper" has 2 tracks. # Album "Paperback Writer / Rain" has 2 tracks. # Album "Yesterday... and Today" has 11 tracks. # Album "Revolver" has 14 tracks. # Album "Strawberry Fields Forever / Penny Lane" has 2 tracks. # Album "Sgt. Pepper's Lonely Hearts Club Band" has 24 tracks. # Album "Magical Mystery Tour" has 11 tracks. # Album "Hello, Goodbye" has 2 tracks. # Album "Magical Mystery Tour" has 6 tracks. # Album "Lady Madonna" has 2 tracks. # Album "Hey Jude" has 2 tracks. # Album "The White Album" has 81 tracks. # Album "Yellow Submarine" has 13 tracks. # Album "Get Back" has 2 tracks. # Album "Abbey Road" has 17 tracks. # Album "Hey Jude" has 10 tracks. # Album "Let It Be" has 12 tracks. # Album "1962-1966" has 26 tracks. # Album "1967-1970" has 28 tracks. # Album "Love Songs" has 25 tracks. # Album "The Beatles at the Hollywood Bowl" has 13 tracks. # Album "Sgt. Pepper's Lonely Hearts Club Band" has 3 tracks. # Album "Past Masters, Volume One" has 18 tracks. # Album "Past Masters, Volume Two" has 15 tracks. # Album "Rockin' at the Star-Club" has 16 tracks. # Album "The Early Tapes of the Beatles" has 14 tracks. # Album "Live at the BBC" has 69 tracks. # Album "Anthology 1" has 60 tracks. # Album "Free as a Bird" has 4 tracks. # Album "The Best Of [26 Unforgetable Hit Songs]" has 26 tracks. # Album "Real Love" has 4 tracks. # Album "Anthology 2" has 45 tracks. # Album "Anthology 3" has 50 tracks. # Album "Yellow Submarine Songtrack" has 15 tracks. # Album "1" has 27 tracks. # Album "Let It Be... Naked" has 12 tracks. # Album "The Capitol Albums, Volume 1" has 90 tracks. # Album "The Capitol Albums, Volume 2" has 68 tracks. # Album "16 Superhits, Volume 1" has 16 tracks. # Album "16 Superhits, Volume 2" has 16 tracks. # Album "16 Superhits, Volume 3" has 16 tracks. # Album "16 Superhits, Volume 4" has 16 tracks. # Album "1962 Live at Star Club in Hamburg" has 24 tracks. # Album "1962 Live Recordings" has 30 tracks. # Album "1962-1966 (Red Album)" has 26 tracks. # Album "1962-1970" has 18 tracks. # Album "A Collection of Beatles Oldies (UK Mono LP)" has 16 tracks. # Album "Alternate Rubber Soul" has 28 tracks. # Album "Anthology (disc 3)" has 22 tracks. # Album "Beatles Tapes III: The 1964 World Tour" has 19 tracks. # Album "Beatles VI (Stereo and Mono)" has 22 tracks. # Album "Best Selection 1962-1968 Part 3" has 20 tracks. # Album "Best, Volume 4: 1964" has 12 tracks. # Album "Best, Volume 9: 1966" has 12 tracks. # Album "Christmas" has 20 tracks. # Album "Complete Rooftop Concert 1" has 22 tracks. # Album "EP Collection (disc 1)" has 4 tracks. # Album "EP Collection (disc 10)" has 4 tracks. # Album "EP Collection (disc 11: Yesterday)" has 4 tracks. # Album "EP Collection (disc 12)" has 4 tracks. # Album "EP Collection" has 12 tracks. # Album "EP Collection (disc 2: Twist and Shout)" has 4 tracks. # Album "EP Collection (disc 3)" has 4 tracks. # Album "EP Collection (disc 4)" has 4 tracks. # Album "EP Collection (disc 5)" has 4 tracks. # Album "EP Collection (disc 6)" has 4 tracks. # Album "EP Collection (disc 7)" has 4 tracks. # Album "EP Collection (disc 8)" has 4 tracks. # Album "EP Collection (disc 9)" has 4 tracks. # Album "EP Collection, Volume 1" has 32 tracks. # Album "EP Collection, Volume 2" has 26 tracks. # Album "From Yesterday Forever" has 22 tracks. # Album "Get Back" has 20 tracks. # Album "Golden Best 20, Volume 1" has 19 tracks. # Album "In the Beginning" has 12 tracks. # Album "Introducing the Beatles (Us Mono Ver. 2)" has 12 tracks. # Album "Live at Star Club 1962, Volume 1" has 11 tracks. # Album "Live in Adelaide & Houston, Texas" has 18 tracks. # Album "Live in Japan 1964" has 22 tracks. # Album "Live in Paris 1965 2" has 24 tracks. # Album "Live in Paris, 1965" has 23 tracks. # Album "Mythology 2 (disc 1)" has 21 tracks.

43.344371

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fd8cfb33c012f46d40d45da73acbed8d2676f8e6

399

py

Python

Diena_9_sets_tuples/d9_17_u3.py

MarisKuz/Python-RTU

12261d06dc81fa0d98190ca0eb5133d43d517070

[ "MIT" ]

8

2020-08-31T16:10:54.000Z

2021-11-24T06:37:37.000Z

Diena_9_sets_tuples/d9_17_u3.py

MarisKuz/Python-RTU

12261d06dc81fa0d98190ca0eb5133d43d517070

[ "MIT" ]

8

2021-06-08T22:30:29.000Z

2022-03-12T00:48:55.000Z

Diena_9_sets_tuples/d9_17_u3.py

MarisKuz/Python-RTU

12261d06dc81fa0d98190ca0eb5133d43d517070

[ "MIT" ]

12

2020-09-28T17:06:52.000Z

2022-02-17T12:12:46.000Z

# Atstarpes ignorējam,un uzskatam ka lielais burts ir tikpat derīgs kā mazais, t.i. šeit A un a -> a def is_pangram(mytext, a="abcdefghijklmnopqrstuvwxyz"): return set(a) <= set(mytext.lower()) # mytext, a = set(mytext.lower()), set(a) # return mytext >= a # or a <= mytext print(is_pangram("The quick brown fox jumps over the lazy dog Ķēpa")) print(is_pangram("nav pangramma"))

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188

py

Python

setup.py

recursive-automata/graphspectra

6467377016b217a104feaefcbb8c2cfa9cb865c6

[ "MIT" ]

null

setup.py

recursive-automata/graphspectra

6467377016b217a104feaefcbb8c2cfa9cb865c6

[ "MIT" ]

5

2020-03-24T16:14:04.000Z

2021-06-01T22:49:22.000Z

setup.py

recursive-automata/graphspectra

6467377016b217a104feaefcbb8c2cfa9cb865c6

[ "MIT" ]

1

2021-01-16T21:45:53.000Z

from distutils.core import setup setup( name='Graph Spectra', version='0.0.0', packages=['graphspectra',], license='MIT', long_description=open('README.md').read(), )

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fd9ac2b41cab163d016c425520645de77b3d1b96

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py

Python

src/functions.py

rafaelcmm/py-deploy-server

2af45f5b71636e1ca19dcf72cc724906693fd051

[ "MIT" ]

1

2021-03-03T16:15:55.000Z

src/functions.py

rafaelcmm/py-deploy-server

2af45f5b71636e1ca19dcf72cc724906693fd051

[ "MIT" ]

null

src/functions.py

rafaelcmm/py-deploy-server

2af45f5b71636e1ca19dcf72cc724906693fd051

[ "MIT" ]

null

import time import datetime import BaseHTTPServer, SimpleHTTPServer def start_server( i, port ): httpd = BaseHTTPServer.HTTPServer(('localhost', int(port)), SimpleHTTPServer.SimpleHTTPRequestHandler) httpd.serve_forever() def get_time_diff_to_now( start_time ): exec_time_in_seconds = time.time() - start_time return time.strftime('%H:%M:%S', time.gmtime(exec_time_in_seconds))

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py

Python

Course I/Алгоритмы Python/Part1/лекции/jupyter/lec06_modules/Graphics/Bmp.py

GeorgiyDemo/FA

641a29d088904302f5f2164c9b3e1f1c813849ec

[ "WTFPL" ]

27

2019-08-18T20:54:27.000Z

2022-02-22T02:39:45.000Z

Course I/Алгоритмы Python/Part1/лекции/jupyter/lec06_modules/Graphics/Bmp.py

GeorgiyDemo/FA

641a29d088904302f5f2164c9b3e1f1c813849ec

[ "WTFPL" ]

217

2019-09-22T14:43:25.000Z

2022-03-30T13:49:18.000Z

Course I/Алгоритмы Python/Part1/лекции/jupyter/lec06_modules/Graphics/Bmp.py

GeorgiyDemo/FA

641a29d088904302f5f2164c9b3e1f1c813849ec

[ "WTFPL" ]

42

2019-09-18T11:36:28.000Z

2022-03-19T18:43:00.000Z

def g_load(file): print("file {} loaded as BMP v2".format(file)) return None if __name__ == "__main__": print("Test Bmp.py") print(g_load("test.bmp"))

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null

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fddc51164f218680c487cfbaa04bffaa07ac864f

339

py

Python

Python/simple_Calculator.py

baroood/Hacktoberfest-2k17

87383df4bf705358866a5a4120dd678a3f2acd3e

[ "MIT" ]

28

2017-10-04T19:42:26.000Z

2021-03-26T04:00:48.000Z

Python/simple_Calculator.py

baroood/Hacktoberfest-2k17

87383df4bf705358866a5a4120dd678a3f2acd3e

[ "MIT" ]

375

2017-09-28T02:58:37.000Z

2019-10-31T09:10:38.000Z

Python/simple_Calculator.py

baroood/Hacktoberfest-2k17

87383df4bf705358866a5a4120dd678a3f2acd3e

[ "MIT" ]

519

2017-09-28T02:40:29.000Z

2021-02-15T08:29:17.000Z

print("enter the two number") n1,n2=map(int,input().split()) print("press + for add") print("press - for subb") print("press * for mul") print("press / for div") e=input() if e == "+": print(n1+n2) elif e == "-": print(n1-n2) elif e == "*": print(n1*n2) elif e == "/": print(n1/n2) else: print("you entered wrong key")

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fde726d33154e3e42801b334dfebcbb56b6ea720

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py

Python

tick/hawkes/simulation/tests/hawkes_kernel_exp_test.py

sumau/tick

1b56924a35463e12f7775bc0aec182364f26f2c6

[ "BSD-3-Clause" ]

411

2017-03-30T15:22:05.000Z

2022-03-27T01:58:34.000Z

tick/hawkes/simulation/tests/hawkes_kernel_exp_test.py

saurabhdash/tick

bbc561804eb1fdcb4c71b9e3e2d83a66e7b13a48

[ "BSD-3-Clause" ]

345

2017-04-13T14:53:20.000Z

2022-03-26T00:46:22.000Z

tick/hawkes/simulation/tests/hawkes_kernel_exp_test.py

saurabhdash/tick

bbc561804eb1fdcb4c71b9e3e2d83a66e7b13a48

[ "BSD-3-Clause" ]

102

2017-04-25T11:47:53.000Z

2022-02-15T11:45:49.000Z

# License: BSD 3 clause import unittest from tick.hawkes import HawkesKernelExp class Test(unittest.TestCase): def setUp(self): self.decay = 2 self.intensity = 3 self.hawkes_kernel_exp = HawkesKernelExp(self.intensity, self.decay) def test_HawkesKernelExp_decay(self): """...Test HawkesKernelExp decay """ self.assertEqual(self.hawkes_kernel_exp.decay, self.decay) def test_HawkesKernelExp_intensity(self): """...Test HawkesKernelExp intensity """ self.assertEqual(self.hawkes_kernel_exp.intensity, self.intensity) def test_HawkesKernelExp_str(self): """...Test HawkesKernelExp string representation """ intensity = 3 decay = 2 hawkes_kernel_exp = HawkesKernelExp(intensity, decay) self.assertEqual(str(hawkes_kernel_exp), "3 * 2 * exp(- 2 * t)") intensity = 3 decay = 0 hawkes_kernel_exp = HawkesKernelExp(intensity, decay) self.assertEqual(str(hawkes_kernel_exp), "3") intensity = 0 decay = 2 hawkes_kernel_exp = HawkesKernelExp(intensity, decay) self.assertEqual(str(hawkes_kernel_exp), "0") def test_HawkesKernelExp_repr(self): """...Test HawkesKernelExp string in list representation """ intensity = 3 decay = 2 hawkes_kernel_exp = HawkesKernelExp(intensity, decay) self.assertEqual(str([hawkes_kernel_exp]), "[3*2*exp(-2*t)]") intensity = 3 decay = 0 hawkes_kernel_exp = HawkesKernelExp(intensity, decay) self.assertEqual(str([hawkes_kernel_exp]), "[3]") intensity = 0 decay = 2 hawkes_kernel_exp = HawkesKernelExp(intensity, decay) self.assertEqual(str([hawkes_kernel_exp]), "[0]") def test_HawkesKernelExp_strtex(self): """...Test HawkesKernelExp latex string representation """ decay = 2 intensity = 3 hawkes_kernel_exp = HawkesKernelExp(intensity, decay) self.assertEqual(hawkes_kernel_exp.__strtex__(), "$6 e^{-2 t}$") intensity = 3 decay = 0 hawkes_kernel_exp = HawkesKernelExp(intensity, decay) self.assertEqual(hawkes_kernel_exp.__strtex__(), "$3$") intensity = 0 decay = 2 hawkes_kernel_exp = HawkesKernelExp(intensity, decay) self.assertEqual(hawkes_kernel_exp.__strtex__(), "$0$") intensity = 0.5 decay = 2 hawkes_kernel_exp = HawkesKernelExp(intensity, decay) self.assertEqual(hawkes_kernel_exp.__strtex__(), "$e^{-2 t}$") decay = 1 intensity = 3 hawkes_kernel_exp = HawkesKernelExp(intensity, decay) self.assertEqual(hawkes_kernel_exp.__strtex__(), "$3 e^{- t}$") decay = 1 intensity = 1 hawkes_kernel_exp = HawkesKernelExp(intensity, decay) self.assertEqual(hawkes_kernel_exp.__strtex__(), "$e^{-t}$") if __name__ == "__main__": unittest.main()

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fdf51004c975cf1630ab8e9ee19c6df93e74fe1a

1,164

py

Python

tests/test_event_district_name_parser.py

tervay/the-blue-alliance

e14c15cb04b455f90a2fcfdf4c1cdbf8454e17f8

[ "MIT" ]

266

2015-01-04T00:10:48.000Z

2022-03-28T18:42:05.000Z

tests/test_event_district_name_parser.py

gregmarra/the-blue-alliance

5bedaf5c80b4623984760d3da3289640639112f9

[ "MIT" ]

2,673

2015-01-01T20:14:33.000Z

2022-03-31T18:17:16.000Z

tests/test_event_district_name_parser.py

gregmarra/the-blue-alliance

5bedaf5c80b4623984760d3da3289640639112f9

[ "MIT" ]

230

2015-01-04T00:10:48.000Z

2022-03-26T18:12:04.000Z

import unittest2 from consts.district_type import DistrictType from helpers.event_helper import EventHelper class TestEventDistrictNameParser(unittest2.TestCase): def test_event_parse_district_name(self): """ A bunch of tests from various years """ self.assertEqual(EventHelper.parseDistrictName('FIRST in Michigan'), DistrictType.MICHIGAN) self.assertEqual(EventHelper.parseDistrictName('Mid-Atlantic Robotics'), DistrictType.MID_ATLANTIC) self.assertEqual(EventHelper.parseDistrictName('New England'), DistrictType.NEW_ENGLAND) self.assertEqual(EventHelper.parseDistrictName('Pacific Northwest'), DistrictType.PACIFIC_NORTHWEST) self.assertEqual(EventHelper.parseDistrictName('IndianaFIRST'), DistrictType.INDIANA) self.assertEqual(EventHelper.parseDistrictName('Not a valid district'), DistrictType.NO_DISTRICT) self.assertEqual(EventHelper.parseDistrictName('California'), DistrictType.NO_DISTRICT) self.assertEqual(EventHelper.parseDistrictName(None), DistrictType.NO_DISTRICT) self.assertEqual(EventHelper.parseDistrictName(''), DistrictType.NO_DISTRICT)

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fdf524b6ebf6b8b5952fbae8a624716d0962d3b3

139

py

Python

collections/namedtuple.py

Brunokrk/Learning-Python

36a3b1c4782dbb21af189760a451fd2e9c083bb6

[ "MIT" ]

null

collections/namedtuple.py

Brunokrk/Learning-Python

36a3b1c4782dbb21af189760a451fd2e9c083bb6

[ "MIT" ]

null

collections/namedtuple.py

Brunokrk/Learning-Python

36a3b1c4782dbb21af189760a451fd2e9c083bb6

[ "MIT" ]

null

from collections import namedtuple from typing import Dict, List Point = namedtuple('Point', 'x, y') pt = Point(1, -4) print(List[Point])

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8bf1bbb5c5fb857624ed28b896f0af4e33744581

1,234

py

Python

miepy/particles/sphere.py

johnaparker/MiePy

5c5bb5a07c8ab79e9e2a9fc79fb9779e690147be

[ "MIT" ]

3

2016-05-30T06:45:29.000Z

2017-08-30T19:58:56.000Z

miepy/particles/sphere.py

johnaparker/MiePy

5c5bb5a07c8ab79e9e2a9fc79fb9779e690147be

[ "MIT" ]

null

miepy/particles/sphere.py

johnaparker/MiePy

5c5bb5a07c8ab79e9e2a9fc79fb9779e690147be

[ "MIT" ]

5

2016-12-13T02:05:31.000Z

2018-03-23T07:11:30.000Z

import miepy from .particle_base import particle class sphere(particle): def __init__(self, position, radius, material): """A sphere object Arguments: position[3] x,y,z position of particle radius sphere radius material particle material (miepy.material object) """ super().__init__(position, None, material) self.radius = radius def __repr__(self): return f'''{self.__class__.__name__}: position = {self.position} m radius = {self.radius:.2e} m material = {self.material}''' def is_inside(self, pos): pass def compute_tmatrix(self, lmax, wavelength, eps_m, **kwargs): self.tmatrix = miepy.tmatrix.tmatrix_sphere(self.radius, wavelength, self.material.eps(wavelength), eps_m, lmax, conducting=self.conducting) self.tmatrix_fixed = self.tmatrix return self.tmatrix def enclosed_radius(self): return self.radius def _rotate_fixed_tmatrix(self): self.tmatrix = self.tmatrix_fixed def _dict_key(self, wavelength): return (sphere, self.radius, self.material.eps(wavelength).item(), self.material.mu(wavelength).item())

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e3134793f0df6cd881cbd1cd94c1e38c3f462fb7

201

py

Python

hoist/__init__.py

2231puppy/Hoist

a751e125102e4de20daf975866ac8479bf341e95

[ "MIT" ]

null

hoist/__init__.py

2231puppy/Hoist

a751e125102e4de20daf975866ac8479bf341e95

[ "MIT" ]

null

hoist/__init__.py

2231puppy/Hoist

a751e125102e4de20daf975866ac8479bf341e95

[ "MIT" ]

null

from .client import Client from .flask_wrapper import FlaskWrapper from .external_server import ExternalServer from .server import HoistServer from .get_ip import get_ip from .get_host import get_host

28.714286

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null

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null

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3

e318871f9110f26342eed67604ef6fd349c14c89

64

py

Python

modules/persons/application/update/__init__.py

eduardolujan/hexagonal_architecture_django

8055927cb460bc40f3a2651c01a9d1da696177e8

[ "BSD-3-Clause" ]

6

2020-08-09T23:41:08.000Z

2021-03-16T22:05:40.000Z

modules/persons/application/update/__init__.py

eduardolujan/hexagonal_architecture_django

8055927cb460bc40f3a2651c01a9d1da696177e8

[ "BSD-3-Clause" ]

1

2020-10-02T02:59:38.000Z

modules/persons/application/update/__init__.py

eduardolujan/hexagonal_architecture_django

8055927cb460bc40f3a2651c01a9d1da696177e8

[ "BSD-3-Clause" ]

2

2021-03-16T22:05:43.000Z

2021-04-30T06:35:25.000Z

from .update_user import UpdateUser __all__ = ('UpdateUser', )

16

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e3238200ba2c5d3c90d39a5455e78fc937cca226

189

py

Python

src/chapter2/exercise3.py

ManuelA1000/BCS-2021

0bdf8a165b6e9e79c33257919a44b4be3cd49a57

[ "MIT" ]

null

src/chapter2/exercise3.py

ManuelA1000/BCS-2021

0bdf8a165b6e9e79c33257919a44b4be3cd49a57

[ "MIT" ]

null

src/chapter2/exercise3.py

ManuelA1000/BCS-2021

0bdf8a165b6e9e79c33257919a44b4be3cd49a57

[ "MIT" ]

null

# Program to calculate the gross pay of a worker hours_worked = input("Enter the hours worked:\n") rate = input("Enter the payment rate:\n ") pay = int(hours_worked)*float(rate) print(pay)

31.5

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null

1

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null

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3

e3267546da7344a2bfce0eefac9818dabbcbe263

984

py

Python

blog/models.py

pnwinkler/Django-blog

a5f459aa3a654a910aa301da12c4e69552f95ca8

[ "MIT" ]

null

blog/models.py

pnwinkler/Django-blog

a5f459aa3a654a910aa301da12c4e69552f95ca8

[ "MIT" ]

null

blog/models.py

pnwinkler/Django-blog

a5f459aa3a654a910aa301da12c4e69552f95ca8

[ "MIT" ]

null

from django.db import models from django.utils import timezone from django.contrib.auth.models import User from django.urls import reverse # each class will be its own table in db class Post(models.Model): title = models.CharField(max_length=100) content = models.TextField() # we don't use auto_add options because they don't allow manual updating date_posted = models.DateTimeField(default=timezone.now) # one-to-many relationship. And, if a user is deleted, delete post too author = models.ForeignKey(User, on_delete=models.CASCADE) # this means that querysets return something like this # <QuerySet [<Post: First post on live site>, <Post: Blog 3 Updated>, ...]> # instead of this: <QuerySet [<Post:>,<Post:>,<Post:>....] def __str__(self): return self.title # need this so we have a URL to send users to after they post an entry def get_absolute_url(self): return reverse('post-detail', kwargs={'pk': self.pk})

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79

0.707317

147

984

4.666667

0.639456

0.058309

0.046647

0

0.005025

0.191057

984

24

80

41

0.856784

0.438008

0

0.023853

0

1

0.153846

false

0

0.307692

0.153846

1

0

null

0

null

0

1

0

3

e33ecd179bc16f7d47ae290d0833aa2f9018b0ae

2,841

py

Python

backend.py

AbRamazani/mahab-linux

2deada37d9885ded2eef3eb665d21eb3a38e3cf3

[ "MIT" ]

3

2022-03-01T13:29:11.000Z

2022-03-01T19:15:22.000Z

backend.py

esmaeelE/mahab-linux

2deada37d9885ded2eef3eb665d21eb3a38e3cf3

[ "MIT" ]

null

backend.py

esmaeelE/mahab-linux

2deada37d9885ded2eef3eb665d21eb3a38e3cf3

[ "MIT" ]

1

2022-03-06T14:22:53.000Z

import sqlite3 path = "Completed/mahab.db" def connect_user(): conn = sqlite3.connect(path) cor = conn.cursor() cor.execute( 'CREATE TABLE IF NOT EXISTS table_user (first_name text,last_name text,user_name text,password text,image text DEFAULT icon, login text, count_see text )' ) conn.commit() conn.close() def connect_seeting(): conn = sqlite3.connect(path) cor = conn.cursor() cor.execute( 'CREATE TABLE IF NOT EXISTS setting (max_amount INTEGER , min_amount Integer , font text, font_size INTEGER ,start_with_win text, bg text, fg text)' ) conn.commit() conn.close() def insert_user(first_name, last_name, user_name, password, image, login, count_see): conn = sqlite3.connect(path) cur = conn.cursor() cur.execute( "INSERT INTO table_user VALUES (?, ?, ?, ?, ?, ?, ?)", (first_name, last_name,user_name, password, image, login, count_see) ) conn.commit() conn.close() def insert_setting(max_amount, min_amount, font, font_size, start_with_win, bg, fg): conn = sqlite3.connect(path) cur = conn.cursor() cur.execute( "INSERT INTO setting VALUES (?, ?, ?, ?, ?, ?, ?)", (max_amount, min_amount, font, font_size, start_with_win, bg, fg) ) conn.commit() conn.close() def view_user(): conn = sqlite3.connect(path) cur = conn.cursor() cur.execute( "SELECT * FROM table_user" ) info = cur.fetchall() conn.commit() conn.close() return info def view_setting(): conn = sqlite3.connect(path) cur = conn.cursor() cur.execute( "SELECT * FROM setting" ) setting = cur.fetchall() conn.commit() conn.close() return setting def update_user(first_name, last_name,user_name, password, image, login, count_see): conn = sqlite3.connect(path) cur = conn.cursor() cur.execute( "UPDATE table_user SET first_name=?, last_name=?,user_name=?,password=?, image=?, login=?, count_see=?", (first_name, last_name,user_name,password, image, login, count_see) ) conn.commit() conn.close() def update_setting(max_amount, min_amount, font, font_size, start_with_win, bg, fg): conn = sqlite3.connect(path) cur = conn.cursor() cur.execute( "UPDATE setting SET max_amount=?, min_amount=?, font=?, font_size=?, start_with_win=?, bg=?, fg=?", (max_amount, min_amount, font, font_size, start_with_win, bg, fg) ) conn.commit() conn.close() def delete(): conn = sqlite3.connect(path) cur = conn.cursor() cur.execute( "DELETE FROM table_user" ) cur.execute( "DELETE FROM setting" ) conn.commit() conn.close() connect_user() connect_seeting()

27.852941

181

0.620908

362

2,841

4.68232

0.157459

0.058407

0.095575

0.116814

0.731563

0.726844

0.689086

0.646608

0.620059

0

0.00469

0.24956

2,841

101

182

28.128713

0.790338

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0.554217

0

0.024096

0.254745

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0

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0.108434

false

0.060241

0.012048

0

0.144578

0

null

0

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0

1

0

null

0

1

0

3

8b4ed5ca04d8c948e8db2639a38f34549a15e7f9

121

py

Python

titanfp/arithmetic/__init__.py

billzorn/fpunreal

5ba896298f2acc53652112ea4426508483d85a04

[ "MIT" ]

4

2019-02-21T06:15:26.000Z

2020-09-08T21:06:41.000Z

titanfp/arithmetic/__init__.py

billzorn/fpunreal

5ba896298f2acc53652112ea4426508483d85a04

[ "MIT" ]

3

2019-02-22T02:21:09.000Z

2021-08-31T20:25:23.000Z

titanfp/arithmetic/__init__.py

billzorn/fpunreal

5ba896298f2acc53652112ea4426508483d85a04

[ "MIT" ]

null

import os mypath = os.path.abspath(os.path.dirname(__file__)) #print('hi from module arithmetic @ {:s}'.format(mypath))

24.2

57

0.727273

18

121

4.666667

0.777778

0.142857

0

0.099174

121

4

58

30.25

0.770642

0.46281

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

3

8b51ae08e8f30713fc992cf4fb1f6236975331fc

504

py

Python

S4/S4 Library/simulation/sims/party.py

NeonOcean/Environment

ca658cf66e8fd6866c22a4a0136d415705b36d26

[ "CC-BY-4.0" ]

1

2021-05-20T19:33:37.000Z

S4/S4 Library/simulation/sims/party.py

NeonOcean/Environment

ca658cf66e8fd6866c22a4a0136d415705b36d26

[ "CC-BY-4.0" ]

null

S4/S4 Library/simulation/sims/party.py

NeonOcean/Environment

ca658cf66e8fd6866c22a4a0136d415705b36d26

[ "CC-BY-4.0" ]

null

from interactions import ParticipantType from sims4.tuning.tunable import TunableList from statistics.statistic_ops import TunableStatisticChange class Party: RALLY_FALSE_ADS = TunableList(description=' \n A list of false advertisement for rallyable interactions. Use this\n tunable to entice Sims to autonomously choose rallyable over non-\n rallyable interactions.\n ', tunable=TunableStatisticChange(locked_args={'subject': ParticipantType.Actor, 'advertise': True}))

72

343

0.781746

58

504

6.724138

0.689655

0.107692

0

0.002347

0.154762

504

6

344

84

0.913146

0

0.2

0.418651

0

1

0

false

0

0.6

0

1

0

null

0

1

0

null

0

1

0

1

0

3

8b678c634de5fa481035f4883d8f263fde9703a9

3,295

py

Python

src/backend/config.py

logyball/raspberry-pi-vacation-planner

dc53ce34b8df696b97d43d8b2137a38c05f2b53d

[ "MIT" ]

1

2020-01-16T04:23:07.000Z

src/backend/config.py

loganballard/raspberry-pi-vacation-planner

dc53ce34b8df696b97d43d8b2137a38c05f2b53d

[ "MIT" ]

1

2021-06-02T00:48:46.000Z

src/backend/config.py

logyball/raspberry-pi-vacation-planner

dc53ce34b8df696b97d43d8b2137a38c05f2b53d

[ "MIT" ]

null

from yaml import load, FullLoader from functools import lru_cache from os import sep, getcwd class ConfigFunctions(object): conf_file_path: str = None secrets_file_path: str = None cwd: str = None def __init__(self, test_environ: bool = False): self.cwd = getcwd() self.conf_file_path = self.cwd + sep + 'test' + sep + 'conf' + sep + 'tst_config.yaml' if test_environ else self.cwd + sep + 'config.yaml' self.secrets_file_path = self.cwd + sep + 'test' + sep + 'conf' + sep + 'tst_secrets.yaml' if test_environ else self.cwd + sep + 'secrets.yaml' pass def get_maps_key(self): return self._get_secrets().get("keys", {}).get("google_maps") def get_amadeus_keys(self): key = self._get_secrets().get("keys", {}).get("amadeus_key") secret = self._get_secrets().get("keys", {}).get("amadeus_secret") return key, secret def get_weather_url(self): return self._get_config().get('base_weather_url', '') def get_origin_coordinates(self): origin = self._get_secrets().get('origin', {}) return origin.get('latitude', ''), origin.get('longitude', '') def get_resort_driving(self, resort_name: str): resort = self._get_individual_resort(resort_name) return bool(resort.get('driving', False)) def get_resort_airport_prefs(self, resort_name: str): resort = self._get_individual_resort(resort_name) return resort.get('airport'), bool(resort.get('nonstop', '')) def get_resort_coordinates(self, resort_name: str): """ returns (latitude, longitude) of the named resort""" resort = self._get_individual_resort(resort_name) return resort.get('latitude'), resort.get('longitude') def get_airlines_pref(self): prefs = self._get_secrets().get('preferences', {}) return prefs.get('airlines', '') def get_origin_airport(self): return self._get_secrets().get('origin', {}).get('airport', 'NYC') def get_width(self): return self._get_config().get('screen_size', {}).get('width', 480) def get_height(self): return self._get_config().get('screen_size', {}).get('height', 800) def get_list_of_resorts(self): return list(self._get_resorts().keys()) def get_db_path(self): return self._get_config().get('db_path') def get_stream_path(self, resort_name: str): resort = self._get_individual_resort(resort_name) return resort.get('stream') def get_resort_proper_name(self, resort_name: str): resort = self._get_individual_resort(resort_name) return resort.get('name') def _get_individual_resort(self, resort_name: str): resorts = self._get_resorts() return resorts.get(resort_name, {}) @lru_cache(maxsize=4) def _get_resorts(self): return self._get_config().get('resorts', {}) @lru_cache(maxsize=4) def _get_config(self): with open(self.conf_file_path) as c_file: config_dict = load(c_file.read(), Loader=FullLoader) return config_dict @lru_cache(maxsize=4) def _get_secrets(self): with open(self.secrets_file_path) as c_file: secrets = load(c_file.read(), Loader=FullLoader) return secrets

35.815217

151

0.655235

438

3,295

4.627854

0.189498

0.056241

0.048347

0.058707

0.461273

0.432166

0.331031

0.26591

0.235323

0.196843

0

0.003456

0.209712

3,295

91

152

36.208791

0.774962

0.014871

0

0.119403

0

0.088635

0

1

0.298507

false

0.014925

0.044776

0.119403

0.686567

0

null

0

null

0

1

0

1

0

3

8b889c0d438ab214a9420c8db96e36cac491bb7f

3,883

py

Python

tests/defxmlschema/test_chapter04.py

nimish/xsdata

7afe2781b66982428cc1731f53c065086acd35c1

[ "MIT" ]

null

tests/defxmlschema/test_chapter04.py

nimish/xsdata

7afe2781b66982428cc1731f53c065086acd35c1

[ "MIT" ]

null

tests/defxmlschema/test_chapter04.py

nimish/xsdata

7afe2781b66982428cc1731f53c065086acd35c1

[ "MIT" ]

null

import os from pathlib import Path from click.testing import CliRunner from tests.conftest import load_class from tests.conftest import validate_bindings from xsdata import cli os.chdir(Path(__file__).parent.parent.parent) def test_integration(): schema = Path("tests/fixtures/defxmlschema/chapter04/chapter04.xsd") package = "tests.fixtures.defxmlschema.chapter04" runner = CliRunner() result = runner.invoke(cli, [str(schema), "--package", package]) if result.exception: raise result.exception clazz = load_class(result.output, "Order") validate_bindings(schema, clazz) def test_example04011(): schema = "tests/fixtures/defxmlschema/chapter04/example04011.xsd" package = "tests.fixtures.defxmlschema.chapter04" runner = CliRunner() result = runner.invoke(cli, [schema, "--package", package]) if result.exception: raise result.exception def test_example04012(): schema = "tests/fixtures/defxmlschema/chapter04/example04012.xsd" package = "tests.fixtures.defxmlschema.chapter04" runner = CliRunner() result = runner.invoke(cli, [schema, "--package", package]) if result.exception: raise result.exception def test_example04021(): schema = "tests/fixtures/defxmlschema/chapter04/example04021.xsd" package = "tests.fixtures.defxmlschema.chapter04" runner = CliRunner() result = runner.invoke(cli, [schema, "--package", package]) if result.exception: raise result.exception def test_example04022(): schema = "tests/fixtures/defxmlschema/chapter04/example04022.xsd" package = "tests.fixtures.defxmlschema.chapter04" runner = CliRunner() result = runner.invoke(cli, [schema, "--package", package]) if result.exception: raise result.exception def test_example04031(): schema = "tests/fixtures/defxmlschema/chapter04/example04031.xsd" package = "tests.fixtures.defxmlschema.chapter04" runner = CliRunner() result = runner.invoke(cli, [schema, "--package", package]) if result.exception: raise result.exception def test_example04032(): schema = "tests/fixtures/defxmlschema/chapter04/example04032.xsd" package = "tests.fixtures.defxmlschema.chapter04" runner = CliRunner() result = runner.invoke(cli, [schema, "--package", package]) if result.exception: raise result.exception def test_example04051(): schema = "tests/fixtures/defxmlschema/chapter04/example04051.xsd" package = "tests.fixtures.defxmlschema.chapter04" runner = CliRunner() result = runner.invoke(cli, [schema, "--package", package]) if result.exception: raise result.exception def test_example04052(): schema = "tests/fixtures/defxmlschema/chapter04/example04052.xsd" package = "tests.fixtures.defxmlschema.chapter04" runner = CliRunner() result = runner.invoke(cli, [schema, "--package", package]) if result.exception: raise result.exception def test_example04053(): schema = "tests/fixtures/defxmlschema/chapter04/example04053.xsd" package = "tests.fixtures.defxmlschema.chapter04" runner = CliRunner() result = runner.invoke(cli, [schema, "--package", package]) if result.exception: raise result.exception def test_example04061(): schema = "tests/fixtures/defxmlschema/chapter04/example04061.xsd" package = "tests.fixtures.defxmlschema.chapter04" runner = CliRunner() result = runner.invoke(cli, [schema, "--package", package]) if result.exception: raise result.exception def test_example04062(): schema = "tests/fixtures/defxmlschema/chapter04/example04062.xsd" package = "tests.fixtures.defxmlschema.chapter04" runner = CliRunner() result = runner.invoke(cli, [schema, "--package", package]) if result.exception: raise result.exception

28.762963

72

0.710791

406

3,883

6.748768

0.12069

0.113869

0.218978

0.29781

0.786131

0.625547

0.604745

0

0.049736

0.171517

3,883

134

73

28.977612

0.801989

0

0.634409

0

0.309554

0.280453

0

1

0.129032

false

0

0.064516

0

0.193548

0

null

0

1

0

1

0

null

0

3

8b97c59a0523b718057641a5d3977d67a48fb7a1

18,401

py

Python

final_position_perturbation/generate_solver_soln.py

talsperre/task-perturbation-argmin

32858fb1dc817da8e28f8d738b01d296efb67c3c

[ "MIT" ]

null

final_position_perturbation/generate_solver_soln.py

talsperre/task-perturbation-argmin

32858fb1dc817da8e28f8d738b01d296efb67c3c

[ "MIT" ]

null

final_position_perturbation/generate_solver_soln.py

talsperre/task-perturbation-argmin

32858fb1dc817da8e28f8d738b01d296efb67c3c

[ "MIT" ]

null

import os import time import json import autograd import argparse import matplotlib.pyplot as plt import matplotlib.patches as mpatches from copy import deepcopy from scipy import optimize from tqdm.notebook import tqdm from transforms3d import euler from autograd import grad, jacobian from mpl_toolkits.mplot3d import Axes3D from scipy.optimize import minimize, Bounds from jax.config import config config.update("jax_enable_x64", True) import jax.numpy as jnp import autograd.numpy as np from jax import jit, jacfwd, jacrev, random, vmap parser = argparse.ArgumentParser(description="Config parser") parser.add_argument("--traj_num", help="Current trajectory number", type=int) parser.add_argument("--dataset_path", help="Current trajectory number", type=str) parser.add_argument("--results_path", help="Directory to save plots and trajectories", type=str) args = parser.parse_args() ### Intializations np.random.seed(42) num = 50 rho_vel = 100 rho_acc = rho_vel * 10 rho_b = rho_vel * 10 rho_jerk = rho_vel * 100 weight_pos = 100.0 weight_orient = 10.0 roll_des = - 87.2 * np.pi / 180 pitch_des = - 41.0 * np.pi / 180 q_min = np.array([-165, -100, -165, -165, -165, -1.0, -165]) * np.pi / 180 q_max = np.array([ 165, 101, 165, 1.0, 165, 214, 165]) * np.pi / 180 q_min_traj = np.hstack((q_min[0] * np.ones(num), q_min[1] * np.ones(num), q_min[2] * np.ones(num), q_min[3] * np.ones(num), q_min[4] * np.ones(num), q_min[5] * np.ones(num), q_min[6] * np.ones(num))) q_max_traj = np.hstack((q_max[0] * np.ones(num), q_max[1] * np.ones(num), q_max[2] * np.ones(num), q_max[3] * np.ones(num), q_max[4] * np.ones(num), q_max[5] * np.ones(num), q_max[6] * np.ones(num))) A = np.identity(num) A_vel = np.diff(A, axis=0) A_acc = np.diff(A_vel, axis=0) A_jerk = np.diff(A_acc, axis=0) cur_pos = args.traj_num data = np.load(args.dataset_path, allow_pickle=True) data = data.item()[cur_pos] #### Initial and final positions of the manipulator q_init = data['q_init'] # Choose any one of these final positions q_fin = data['q_fin'][0] q_1_init, q_2_init, q_3_init, q_4_init, q_5_init, q_6_init, q_7_init = q_init q_1_fin, q_2_fin, q_3_fin, q_4_fin, q_5_fin, q_6_fin, q_7_fin = q_fin #### Transforms def get_transforms(q_1, q_2, q_3, q_4, q_5, q_6, q_7): x = -0.107 * (((np.sin(q_1) * np.sin(q_3) - np.cos(q_1) * np.cos(q_2) * np.cos(q_3)) * np.cos(q_4) - np.sin(q_2) * np.sin(q_4) * np.cos(q_1)) * np.cos(q_5) + (np.sin(q_1) * np.cos(q_3) + np.sin(q_3) * np.cos(q_1) * np.cos(q_2)) * np.sin(q_5)) * np.sin(q_6) - 0.088 * (((np.sin(q_1) * np.sin(q_3) - np.cos(q_1) * np.cos(q_2) * np.cos(q_3)) * np.cos(q_4) - np.sin(q_2) * np.sin(q_4) * np.cos(q_1)) * np.cos(q_5) + (np.sin(q_1) * np.cos(q_3) + np.sin(q_3) * np.cos(q_1) * np.cos(q_2)) * np.sin(q_5)) * np.cos(q_6) + 0.088 * ((np.sin(q_1) * np.sin(q_3) - np.cos(q_1) * np.cos(q_2) * np.cos(q_3)) * np.sin(q_4) + np.sin(q_2) * np.cos(q_1) * np.cos(q_4)) * np.sin(q_6) - 0.107 * ((np.sin(q_1) * np.sin(q_3) - np.cos(q_1) * np.cos(q_2) * np.cos(q_3)) * np.sin(q_4) + np.sin(q_2) * np.cos(q_1) * np.cos(q_4)) * np.cos(q_6) + 0.384 * (np.sin(q_1) * np.sin(q_3) - np.cos(q_1) * np.cos(q_2) * np.cos(q_3)) * np.sin(q_4) + 0.0825 * (np.sin(q_1) * np.sin(q_3) - np.cos(q_1) * np.cos(q_2) * np.cos(q_3)) * np.cos(q_4) - 0.0825 * np.sin(q_1) * np.sin(q_3) - 0.0825 * np.sin(q_2) * np.sin(q_4) * np.cos(q_1) + 0.384 * np.sin(q_2) * np.cos(q_1) * np.cos(q_4) + 0.316 * np.sin(q_2) * np.cos(q_1) + 0.0825 * np.cos(q_1) * np.cos(q_2) * np.cos(q_3) y = 0.107 * (((np.sin(q_1) * np.cos(q_2) * np.cos(q_3) + np.sin(q_3) * np.cos(q_1)) * np.cos(q_4) + np.sin(q_1) * np.sin(q_2) * np.sin(q_4)) * np.cos(q_5) - (np.sin(q_1) * np.sin(q_3) * np.cos(q_2) - np.cos(q_1) * np.cos(q_3)) * np.sin(q_5)) * np.sin(q_6) + 0.088 * (((np.sin(q_1) * np.cos(q_2) * np.cos(q_3) + np.sin(q_3) * np.cos(q_1)) * np.cos(q_4) + np.sin(q_1) * np.sin(q_2) * np.sin(q_4)) * np.cos(q_5) - (np.sin(q_1) * np.sin(q_3) * np.cos(q_2) - np.cos(q_1) * np.cos(q_3)) * np.sin(q_5)) * np.cos(q_6) - 0.088 * ((np.sin(q_1) * np.cos(q_2) * np.cos(q_3) + np.sin(q_3) * np.cos(q_1)) * np.sin(q_4) - np.sin(q_1) * np.sin(q_2) * np.cos(q_4)) * np.sin(q_6) + 0.107 * ((np.sin(q_1) * np.cos(q_2) * np.cos(q_3) + np.sin(q_3) * np.cos(q_1)) * np.sin(q_4) - np.sin(q_1) * np.sin(q_2) * np.cos(q_4)) * np.cos(q_6) - 0.384 * (np.sin(q_1) * np.cos(q_2) * np.cos(q_3) + np.sin(q_3) * np.cos(q_1)) * np.sin(q_4) - 0.0825 * (np.sin(q_1) * np.cos(q_2) * np.cos(q_3) + np.sin(q_3) * np.cos(q_1)) * np.cos(q_4) - 0.0825 * np.sin(q_1) * np.sin(q_2) * np.sin(q_4) + 0.384 * np.sin(q_1) * np.sin(q_2) * np.cos(q_4) + 0.316 * np.sin(q_1) * np.sin(q_2) + 0.0825 * np.sin(q_1) * np.cos(q_2) * np.cos(q_3) + 0.0825 * np.sin(q_3) * np.cos(q_1) z = -0.107 * ((np.sin(q_2) * np.cos(q_3) * np.cos(q_4) - np.sin(q_4) * np.cos(q_2)) * np.cos(q_5) - np.sin(q_2) * np.sin(q_3) * np.sin(q_5)) * np.sin(q_6) - 0.088 * ((np.sin(q_2) * np.cos(q_3) * np.cos(q_4) - np.sin(q_4) * np.cos(q_2)) * np.cos(q_5) - np.sin(q_2) * np.sin(q_3) * np.sin(q_5)) * np.cos(q_6) + 0.088 * (np.sin(q_2) * np.sin(q_4) * np.cos(q_3) + np.cos(q_2) * np.cos(q_4)) * np.sin(q_6) - 0.107 * (np.sin(q_2) * np.sin(q_4) * np.cos(q_3) + np.cos(q_2) * np.cos(q_4)) * np.cos(q_6) + 0.384 * np.sin(q_2) * np.sin(q_4) * np.cos(q_3) + 0.0825 * np.sin(q_2) * np.cos(q_3) * np.cos(q_4) - 0.0825 * np.sin(q_2) * np.cos(q_3) - 0.0825 * np.sin(q_4) * np.cos(q_2) + 0.384 * np.cos(q_2) * np.cos(q_4) + 0.316 * np.cos(q_2) + 0.33 tr = np.sin(q_2) * np.sin(q_3) * np.sin(q_5) * np.sin(q_6) + np.sin(q_2) * np.sin(q_4) * np.sin(q_5) * np.sin(q_1 + q_7) - np.sin(q_2) * np.sin(q_4) * np.cos(q_3) * np.cos(q_6) + np.sin(q_2) * np.sin(q_4) * np.cos(q_5) * np.cos(q_6) * np.cos(q_1 + q_7) - np.sin(q_2) * np.sin(q_6) * np.cos(q_3) * np.cos(q_4) * np.cos(q_5) + np.sin(q_2) * np.sin(q_6) * np.cos(q_4) * np.cos(q_1 + q_7) + np.sin(q_3) * np.sin(q_4) * np.sin(q_6) * np.sin(q_1 + q_7) - np.sin(q_3) * np.sin(q_5) * np.cos(q_2) * np.cos(q_6) * np.cos(q_1 + q_7) + np.sin(q_3) * np.sin(q_5) * np.cos(q_4) * np.cos(q_1 + q_7) + np.sin(q_3) * np.sin(q_1 + q_7) * np.cos(q_2) * np.cos(q_5) - np.sin(q_3) * np.sin(q_1 + q_7) * np.cos(q_4) * np.cos(q_5) * np.cos(q_6) - np.sin(q_4) * np.sin(q_6) * np.cos(q_2) * np.cos(q_3) * np.cos(q_1 + q_7) + np.sin(q_4) * np.sin(q_6) * np.cos(q_2) * np.cos(q_5) + np.sin(q_5) * np.sin(q_1 + q_7) * np.cos(q_2) * np.cos(q_3) * np.cos(q_4) - np.sin(q_5) * np.sin(q_1 + q_7) * np.cos(q_3) * np.cos(q_6) + np.cos(q_2) * np.cos(q_3) * np.cos(q_4) * np.cos(q_5) * np.cos(q_6) * np.cos(q_1 + q_7) - np.cos(q_2) * np.cos(q_4) * np.cos(q_6) - np.cos(q_3) * np.cos(q_5) * np.cos(q_1 + q_7) ax1 = -0.5 * (((np.sin(q_1) * np.cos(q_2) * np.cos(q_3) + np.sin(q_3) * np.cos(q_1)) * np.cos(q_4) + np.sin(q_1) * np.sin(q_2) * np.sin(q_4)) * np.cos(q_5) - (np.sin(q_1) * np.sin(q_3) * np.cos(q_2) - np.cos(q_1) * np.cos(q_3)) * np.sin(q_5)) * np.sin(q_6) + 0.5 * (((np.sin(q_2) * np.cos(q_3) * np.cos(q_4) - np.sin(q_4) * np.cos(q_2)) * np.cos(q_5) - np.sin(q_2) * np.sin(q_3) * np.sin(q_5)) * np.cos(q_6) - (np.sin(q_2) * np.sin(q_4) * np.cos(q_3) + np.cos(q_2) * np.cos(q_4)) * np.sin(q_6)) * np.sin(q_7) - 0.5 * ((np.sin(q_1) * np.cos(q_2) * np.cos(q_3) + np.sin(q_3) * np.cos(q_1)) * np.sin(q_4) - np.sin(q_1) * np.sin(q_2) * np.cos(q_4)) * np.cos(q_6) - 0.5 * ((np.sin(q_2) * np.cos(q_3) * np.cos(q_4) - np.sin(q_4) * np.cos(q_2)) * np.sin(q_5) + np.sin(q_2) * np.sin(q_3) * np.cos(q_5)) * np.cos(q_7) ax2 = -0.5 * (((np.sin(q_1) * np.sin(q_3) - np.cos(q_1) * np.cos(q_2) * np.cos(q_3)) * np.cos(q_4) - np.sin(q_2) * np.sin(q_4) * np.cos(q_1)) * np.cos(q_5) + (np.sin(q_1) * np.cos(q_3) + np.sin(q_3) * np.cos(q_1) * np.cos(q_2)) * np.sin(q_5)) * np.sin(q_6) + 0.5 * (((np.sin(q_2) * np.cos(q_3) * np.cos(q_4) - np.sin(q_4) * np.cos(q_2)) * np.cos(q_5) - np.sin(q_2) * np.sin(q_3) * np.sin(q_5)) * np.cos(q_6) - (np.sin(q_2) * np.sin(q_4) * np.cos(q_3) + np.cos(q_2) * np.cos(q_4)) * np.sin(q_6)) * np.cos(q_7) - 0.5 * ((np.sin(q_1) * np.sin(q_3) - np.cos(q_1) * np.cos(q_2) * np.cos(q_3)) * np.sin(q_4) + np.sin(q_2) * np.cos(q_1) * np.cos(q_4)) * np.cos(q_6) + 0.5 * ((np.sin(q_2) * np.cos(q_3) * np.cos(q_4) - np.sin(q_4) * np.cos(q_2)) * np.sin(q_5) + np.sin(q_2) * np.sin(q_3) * np.cos(q_5)) * np.sin(q_7) ax3 = -0.5 * np.sin(q_2) * np.sin(q_4) * np.sin(q_5) * np.cos(q_1 + q_7) + 0.5 * np.sin(q_2) * np.sin(q_4) * np.sin(q_1 + q_7) * np.cos(q_5) * np.cos(q_6) + 0.5 * np.sin(q_2) * np.sin(q_6) * np.sin(q_1 + q_7) * np.cos(q_4) - 0.5 * np.sin(q_3) * np.sin(q_4) * np.sin(q_6) * np.cos(q_1 + q_7) - 0.5 * np.sin(q_3) * np.sin(q_5) * np.sin(q_1 + q_7) * np.cos(q_2) * np.cos(q_6) + 0.5 * np.sin(q_3) * np.sin(q_5) * np.sin(q_1 + q_7) * np.cos(q_4) - 0.5 * np.sin(q_3) * np.cos(q_2) * np.cos(q_5) * np.cos(q_1 + q_7) + 0.5 * np.sin(q_3) * np.cos(q_4) * np.cos(q_5) * np.cos(q_6) * np.cos(q_1 + q_7) - 0.5 * np.sin(q_4) * np.sin(q_6) * np.sin(q_1 + q_7) * np.cos(q_2) * np.cos(q_3) - 0.5 * np.sin(q_5) * np.cos(q_2) * np.cos(q_3) * np.cos(q_4) * np.cos(q_1 + q_7) + 0.5 * np.sin(q_5) * np.cos(q_3) * np.cos(q_6) * np.cos(q_1 + q_7) + 0.5 * np.sin(q_1 + q_7) * np.cos(q_2) * np.cos(q_3) * np.cos(q_4) * np.cos(q_5) * np.cos(q_6) - 0.5 * np.sin(q_1 + q_7) * np.cos(q_3) * np.cos(q_5) return x, y, z, tr, ax1, ax2, ax3 def fk_franka(q): q_1 = q[0] q_2 = q[1] q_3 = q[2] q_4 = q[3] q_5 = q[4] q_6 = q[5] q_7 = q[6] x, y, z, tr, ax1, ax2, ax3 = get_transforms(q_1, q_2, q_3, q_4, q_5, q_6, q_7) return x, y, z, tr, ax1, ax2, ax3 def fk_franka_traj(q): q_1 = q[0:num] q_2 = q[num:2*num] q_3 = q[2*num:3*num] q_4 = q[3*num:4*num] q_5 = q[4*num:5*num] q_6 = q[5*num:6*num] q_7 = q[6*num:7*num] x, y, z, tr, ax1, ax2, ax3 = get_transforms(q_1, q_2, q_3, q_4, q_5, q_6, q_7) return x, y, z, tr, ax1, ax2, ax3 x_guess = data['traj'][0]['jointangles'].T.reshape(-1) x_init, y_init, z_init, tr_init, ax1_init, ax2_init, ax3_init = fk_franka(np.hstack((q_1_init, q_2_init, q_3_init, q_4_init, q_5_init, q_6_init, q_7_init))) x_fin, y_fin, z_fin, tr_fin, ax1_fin, ax2_fin, ax3_fin = fk_franka(np.hstack((q_1_fin, q_2_fin, q_3_fin, q_4_fin, q_5_fin, q_6_fin, q_7_fin))) #### Cost Function def cost_fun(q, params): x_fin, y_fin, z_fin = params q_1 = q[0:num] q_2 = q[num:2*num] q_3 = q[2*num:3*num] q_4 = q[3*num:4*num] q_5 = q[4*num:5*num] q_6 = q[5*num:6*num] q_7 = q[6*num:7*num] cq1 = np.cos(q_1) cq2 = np.cos(q_2) cq3 = np.cos(q_3) cq4 = np.cos(q_4) cq5 = np.cos(q_5) cq6 = np.cos(q_6) cq7 = np.cos(q_7) sq1 = np.sin(q_1) sq2 = np.sin(q_2) sq3 = np.sin(q_3) sq4 = np.sin(q_4) sq5 = np.sin(q_5) sq6 = np.sin(q_6) sq7 = np.sin(q_7) x = -0.107 * (((np.sin(q_1) * np.sin(q_3) - np.cos(q_1) * np.cos(q_2) * np.cos(q_3)) * np.cos(q_4) - np.sin(q_2) * np.sin(q_4) * np.cos(q_1)) * np.cos(q_5) + (np.sin(q_1) * np.cos(q_3) + np.sin(q_3) * np.cos(q_1) * np.cos(q_2)) * np.sin(q_5)) * np.sin(q_6) - 0.088 * (((np.sin(q_1) * np.sin(q_3) - np.cos(q_1) * np.cos(q_2) * np.cos(q_3)) * np.cos(q_4) - np.sin(q_2) * np.sin(q_4) * np.cos(q_1)) * np.cos(q_5) + (np.sin(q_1) * np.cos(q_3) + np.sin(q_3) * np.cos(q_1) * np.cos(q_2)) * np.sin(q_5)) * np.cos(q_6) + 0.088 * ((np.sin(q_1) * np.sin(q_3) - np.cos(q_1) * np.cos(q_2) * np.cos(q_3)) * np.sin(q_4) + np.sin(q_2) * np.cos(q_1) * np.cos(q_4)) * np.sin(q_6) - 0.107 * ((np.sin(q_1) * np.sin(q_3) - np.cos(q_1) * np.cos(q_2) * np.cos(q_3)) * np.sin(q_4) + np.sin(q_2) * np.cos(q_1) * np.cos(q_4)) * np.cos(q_6) + 0.384 * (np.sin(q_1) * np.sin(q_3) - np.cos(q_1) * np.cos(q_2) * np.cos(q_3)) * np.sin(q_4) + 0.0825 * (np.sin(q_1) * np.sin(q_3) - np.cos(q_1) * np.cos(q_2) * np.cos(q_3)) * np.cos(q_4) - 0.0825 * np.sin(q_1) * np.sin(q_3) - 0.0825 * np.sin(q_2) * np.sin(q_4) * np.cos(q_1) + 0.384 * np.sin(q_2) * np.cos(q_1) * np.cos(q_4) + 0.316 * np.sin(q_2) * np.cos(q_1) + 0.0825 * np.cos(q_1) * np.cos(q_2) * np.cos(q_3) y = 0.107 * (((np.sin(q_1) * np.cos(q_2) * np.cos(q_3) + np.sin(q_3) * np.cos(q_1)) * np.cos(q_4) + np.sin(q_1) * np.sin(q_2) * np.sin(q_4)) * np.cos(q_5) - (np.sin(q_1) * np.sin(q_3) * np.cos(q_2) - np.cos(q_1) * np.cos(q_3)) * np.sin(q_5)) * np.sin(q_6) + 0.088 * (((np.sin(q_1) * np.cos(q_2) * np.cos(q_3) + np.sin(q_3) * np.cos(q_1)) * np.cos(q_4) + np.sin(q_1) * np.sin(q_2) * np.sin(q_4)) * np.cos(q_5) - (np.sin(q_1) * np.sin(q_3) * np.cos(q_2) - np.cos(q_1) * np.cos(q_3)) * np.sin(q_5)) * np.cos(q_6) - 0.088 * ((np.sin(q_1) * np.cos(q_2) * np.cos(q_3) + np.sin(q_3) * np.cos(q_1)) * np.sin(q_4) - np.sin(q_1) * np.sin(q_2) * np.cos(q_4)) * np.sin(q_6) + 0.107 * ((np.sin(q_1) * np.cos(q_2) * np.cos(q_3) + np.sin(q_3) * np.cos(q_1)) * np.sin(q_4) - np.sin(q_1) * np.sin(q_2) * np.cos(q_4)) * np.cos(q_6) - 0.384 * (np.sin(q_1) * np.cos(q_2) * np.cos(q_3) + np.sin(q_3) * np.cos(q_1)) * np.sin(q_4) - 0.0825 * (np.sin(q_1) * np.cos(q_2) * np.cos(q_3) + np.sin(q_3) * np.cos(q_1)) * np.cos(q_4) - 0.0825 * np.sin(q_1) * np.sin(q_2) * np.sin(q_4) + 0.384 * np.sin(q_1) * np.sin(q_2) * np.cos(q_4) + 0.316 * np.sin(q_1) * np.sin(q_2) + 0.0825 * np.sin(q_1) * np.cos(q_2) * np.cos(q_3) + 0.0825 * np.sin(q_3) * np.cos(q_1) z = -0.107 * ((np.sin(q_2) * np.cos(q_3) * np.cos(q_4) - np.sin(q_4) * np.cos(q_2)) * np.cos(q_5) - np.sin(q_2) * np.sin(q_3) * np.sin(q_5)) * np.sin(q_6) - 0.088 * ((np.sin(q_2) * np.cos(q_3) * np.cos(q_4) - np.sin(q_4) * np.cos(q_2)) * np.cos(q_5) - np.sin(q_2) * np.sin(q_3) * np.sin(q_5)) * np.cos(q_6) + 0.088 * (np.sin(q_2) * np.sin(q_4) * np.cos(q_3) + np.cos(q_2) * np.cos(q_4)) * np.sin(q_6) - 0.107 * (np.sin(q_2) * np.sin(q_4) * np.cos(q_3) + np.cos(q_2) * np.cos(q_4)) * np.cos(q_6) + 0.384 * np.sin(q_2) * np.sin(q_4) * np.cos(q_3) + 0.0825 * np.sin(q_2) * np.cos(q_3) * np.cos(q_4) - 0.0825 * np.sin(q_2) * np.cos(q_3) - 0.0825 * np.sin(q_4) * np.cos(q_2) + 0.384 * np.cos(q_2) * np.cos(q_4) + 0.316 * np.cos(q_2) + 0.33 r_32 = -cq7 * (cq5 * sq2 * sq3 - sq5 * (cq2 * sq4 - cq3 * cq4 * sq2)) - sq7 * (cq6 * (cq5 * (cq2 * sq4 - cq3 * cq4 * sq2) + sq2 * sq3 * sq5) + sq6 * (cq2 * cq4 + cq3 * sq2 * sq4)) r_33 = -cq6 * (cq2 * cq4 + cq3 * sq2 * sq4) + sq6 * (cq5 * (cq2 * sq4 - cq3 * cq4 * sq2) + sq2 * sq3 * sq5) r_31 = cq7 * (cq6 * (cq5 * (cq2 * sq4 - cq3 * cq4 * sq2) + sq2 * sq3 * sq5) + sq6 * (cq2 * cq4 + cq3 * sq2 * sq4)) - sq7 * (cq5 * sq2 * sq3 - sq5 * (cq2 * sq4 - cq3 * cq4 * sq2)) # Position cost f_pos_cost = (x[-1] - x_fin) ** 2 + (y[-1] - y_fin) ** 2 + (z[-1] - z_fin) ** 2 + (x[0] - x_init) ** 2 + (y[0] - y_init) ** 2 + (z[0] - z_init) ** 2 # Orientation cost f_orient_cost = np.sum((np.arctan2(r_32, r_33) - roll_des) ** 2 + (-np.arcsin(r_31) - pitch_des) ** 2) # Smoothness cost f_smoothness_vel = np.sum(np.dot(A_vel, q_1) ** 2) + np.sum(np.dot(A_vel, q_2) ** 2) + np.sum(np.dot(A_vel, q_3) ** 2) + np.sum(np.dot(A_vel, q_4) ** 2) + np.sum(np.dot(A_vel, q_5) ** 2) + np.sum(np.dot(A_vel, q_6) ** 2) + np.sum(np.dot(A_vel, q_7) ** 2) f_smoothness_acc = np.sum(np.dot(A_acc, q_1) ** 2) + np.sum(np.dot(A_acc, q_2) ** 2) + np.sum(np.dot(A_acc, q_3) ** 2) + np.sum(np.dot(A_acc, q_4) ** 2) + np.sum(np.dot(A_acc, q_5) ** 2) + np.sum(np.dot(A_acc, q_6) ** 2) + np.sum(np.dot(A_acc, q_7) ** 2) f_smoothness_jerk = np.sum(np.dot(A_jerk, q_1) ** 2) + np.sum(np.dot(A_jerk, q_2) ** 2) + np.sum(np.dot(A_jerk, q_3) ** 2) + np.sum(np.dot(A_jerk, q_4) ** 2) + np.sum(np.dot(A_jerk, q_5) ** 2) + np.sum(np.dot(A_jerk, q_6) ** 2) + np.sum(np.dot(A_jerk, q_7) ** 2) f_smoothness_cost = rho_vel * f_smoothness_vel + rho_acc * f_smoothness_acc + rho_jerk * f_smoothness_jerk cost = weight_orient * f_orient_cost + f_smoothness_cost + weight_pos * f_pos_cost return cost #### Compute solution print("Computing initial solution") opts = { 'maxiter': 600 } bnds = Bounds(q_min_traj, q_max_traj) cost_grad = grad(cost_fun) init_params = np.array([x_fin, y_fin, z_fin]) start = time.time() start_solver_process_time = time.process_time() res = minimize(cost_fun, x_guess, init_params, method= 'SLSQP', jac=cost_grad, bounds=bnds, options=opts) end_solver_process_time = time.process_time() end_time = time.time() print(end_time - start, res.message) initial_cost1 = cost_fun(res.x, init_params) print("Initial cost: {}".format(initial_cost1)) #### Generate argmin solutions and trajectories num_samples = 6 flag = 1 cur_traj_cnt = 1 numpy_dict = { "initial_soln": res.x } numpy_time_dict = { "initial_soln": { "cpu_time": end_time - start, "process_time": end_solver_process_time - start_solver_process_time } } for num_iter in range(1, num_samples + 1): for sample_num in range(len(data['q_fin'][num_iter])): print("ITERATION {}, Cur traj num: {}".format(num_iter, cur_traj_cnt)) print("Saving solution") q_fin_new = data['q_fin'][num_iter][sample_num] q_1_fin_new, q_2_fin_new, q_3_fin_new, q_4_fin_new, q_5_fin_new, q_6_fin_new, q_7_fin_new = q_fin_new x_fin_new, y_fin_new, z_fin_new, _, _, _, _ = fk_franka(np.hstack((q_1_fin_new, q_2_fin_new, q_3_fin_new, q_4_fin_new, q_5_fin_new, q_6_fin_new, q_7_fin_new))) perturbed_params = np.array([x_fin_new, y_fin_new, z_fin_new]) start_solver_time = time.time() start_solver_process_time = time.process_time() res_new = minimize(cost_fun, res.x, perturbed_params, method= 'SLSQP', jac=cost_grad, bounds=bnds, options=opts) end_solver_process_time = time.process_time() end_solver_time = time.time() print("Solver time taken: {}".format(end_solver_time - start_solver_time)) print("Solver process time: {}".format(end_solver_process_time - start_solver_process_time)) print("Solver message: {}".format(res_new.message)) print("-"*100) numpy_dict[cur_traj_cnt] = res_new.x numpy_time_dict[cur_traj_cnt] = { "cpu_time": end_solver_time - start_solver_time, "process_time": end_solver_process_time - start_solver_process_time } cur_traj_cnt += 1 os.makedirs(args.results_path, exist_ok=True) np_path = os.path.join(args.results_path, 'traj_{}.npy'.format(cur_pos + 1)) np.save(np_path, numpy_dict) np_time_path = os.path.join(args.results_path, 'traj_time_{}.npy'.format(cur_pos + 1)) np.save(np_time_path, numpy_time_dict)

82.887387

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0.05123

0.175242

0.21029

0.064901

0.732043

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0.169556

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null

0

1

0

1

0

1

0

null

0

3

8bb34711325850bceb50eb90e489a61bf3e9899a

1,169

py

Python

apps/fbschema/struct_models.py

pkuhad/dashfb

0b1322d6238ea0b5b8cdc4d16001d3653b404877

[ "MIT" ]

3

2017-03-16T13:02:47.000Z

2017-07-22T00:17:10.000Z

apps/fbschema/struct_models.py

pkuhad/dashfb

0b1322d6238ea0b5b8cdc4d16001d3653b404877

[ "MIT" ]

null

apps/fbschema/struct_models.py

pkuhad/dashfb

0b1322d6238ea0b5b8cdc4d16001d3653b404877

[ "MIT" ]

2

2015-05-15T10:35:48.000Z

2021-07-27T09:40:42.000Z

from django.db import models class StructAgeRange(models.Model): min = models.IntegerField() max = models.IntegerField( blank=True, null=True ) class StructCommentInfo(models.Model): can_comment = models.NullBooleanField( blank=True, null=True, help_text="Whether the comments are allowed on the object" ) comment_count = models.IntegerField( blank=True, null=True, help_text="The number of comments on this object." ) #comment_order = models.CharField( max_length=500, blank=True, null=True, help_text="The order that these comments are displayed on site.") #comment_list = models.TextField( blank=True, null=True, help_text="The list of comments on the post") #TODO: In next pass uncomment this line ^ class StructLikeInfo(models.Model): can_like = models.NullBooleanField( blank=True, null=True, help_text="Whether the viewer can like the object" ) like_count = models.IntegerField( blank=True, null=True, help_text="The number of likes on this object." ) user_likes = models.NullBooleanField( blank=True, null=True, help_text="Whether the viewer likes this object" )

61.526316

144

0.719418

158

1,169

5.227848

0.335443

0.087167

0.125908

0.164649

0.474576

0.432203

0.364407

0

0.003151

0.185629

1,169

18

145

64.944444

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0

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false

0

0.090909

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null

0

1

0

null

0

1

0

1

0

3

8bb8032f2acd424e1966fbb1c6f8052ea48d1413

116

py

Python

smashtheque/models/character.py

Retropen-Bar/pysmashtheque

8da6fbdc11147c28bc09417104e7e0f688782c8f

[ "MIT" ]

null

smashtheque/models/character.py

Retropen-Bar/pysmashtheque

8da6fbdc11147c28bc09417104e7e0f688782c8f

[ "MIT" ]

null

smashtheque/models/character.py

Retropen-Bar/pysmashtheque

8da6fbdc11147c28bc09417104e7e0f688782c8f

[ "MIT" ]

null

from .api_record import * class Character(ApiRecord): api_path = "characters" singular_resource = "character"

16.571429

33

0.75

13

116

6.461538

0.846154

0

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116

6

34

19.333333

0.857143

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false

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1

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null

0

1

0

null

0

1

0

3

8bbe7e89ac235d2b646670c3bd820a5f3e0af190

228

py

Python

output/message.py

moehrenzahn/worktimer

ab92e8625652d94987c7da8ccdbf29be72bf3612

[ "MIT" ]

3

2018-07-29T20:48:15.000Z

2019-03-29T10:42:19.000Z

output/message.py

moehrenzahn/worktimer

ab92e8625652d94987c7da8ccdbf29be72bf3612

[ "MIT" ]

null

output/message.py

moehrenzahn/worktimer

ab92e8625652d94987c7da8ccdbf29be72bf3612

[ "MIT" ]

null

import os def message(recipient, text): script = 'tell application "Messages" to send "{0}" to buddy "{1}" of (service 1 whose service type is iMessage)'.format(text, recipient) os.system("osascript -e '%s'" % script)

32.571429

141

0.679825

33

228

4.69697

0.787879

0

0.015957

0.175439

228

6

142

38

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0

0.25

0.52193

0

1

0.25

false

0

0.25

0

0.5

0

null

0

1

0

1

0

null

0

1

0

3

8bc62bf2c490498ea1dff6a417dc9c3797b16563

148

py

Python

app/grandchallenge/policies/views.py

njmhendrix/grand-challenge.org

9bc36f5e26561a78bd405e8ea5e4c0f86c95f011

[ "Apache-2.0" ]

101

2018-04-11T14:48:04.000Z

2022-03-28T00:29:48.000Z

app/grandchallenge/policies/views.py

njmhendrix/grand-challenge.org

9bc36f5e26561a78bd405e8ea5e4c0f86c95f011

[ "Apache-2.0" ]

1,733

2018-03-21T11:56:16.000Z

2022-03-31T14:58:30.000Z

app/grandchallenge/policies/views.py

njmhendrix/grand-challenge.org

9bc36f5e26561a78bd405e8ea5e4c0f86c95f011

[ "Apache-2.0" ]

42

2018-06-08T05:49:07.000Z

2022-03-29T08:43:01.000Z

from django.views.generic import DetailView from grandchallenge.policies.models import Policy class PolicyDetail(DetailView): model = Policy

18.5

49

0.810811

17

148

7.058824

0.764706

0

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148

7

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21.142857

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0

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0

false

0

0.5

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1

0

null

0

1

0

null

0

1

0

3

8bd3dc2c2381df11d5ae0cbcc92302f073ababfb

190

py

Python

src/marketplace/authorization/common.py

abell5/marketplace

474241801416e4699970f5684176e7351504b9c0

[ "MIT" ]

null

src/marketplace/authorization/common.py

abell5/marketplace

474241801416e4699970f5684176e7351504b9c0

[ "MIT" ]

null

src/marketplace/authorization/common.py

abell5/marketplace

474241801416e4699970f5684176e7351504b9c0

[ "MIT" ]

null

from django.core.exceptions import PermissionDenied def ensure_user_has_permission(user, target, permission): if not user.has_perm(permission, target): raise PermissionDenied()

31.666667

57

0.784211

23

190

6.304348

0.695652

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190

5

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0

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0.25

false

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null

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1

0

null

0

1

0

3

8bdf2b9d6993b6248b64645d01d7bb5aff378a82

9,780

py

Python

FDA/fda.py

bwelch21/secure-file-share

69e693dad4eb02a4a7b8051244947115eea71abc

[ "MIT" ]

null

FDA/fda.py

bwelch21/secure-file-share

69e693dad4eb02a4a7b8051244947115eea71abc

[ "MIT" ]

null

FDA/fda.py

bwelch21/secure-file-share

69e693dad4eb02a4a7b8051244947115eea71abc

[ "MIT" ]

null

from contextlib import closing from urllib.request import urlopen from http.client import HTTPConnection import sys import json import os import hashlib from Crypto import Random from Crypto.Cipher import AES import io import urllib print ("------------------------SecureFileShare's File Download Application----------------------------" +"\n") print ("Use this application to encrypt files and upload files or to decrypt and download files." + "\n" + "Please enter your username and password from your" + " SecureFileShare account to begin.") username = input('Enter Userid: ') password = input('Enter Password: ') def hashfile(afile): blocksize = 4096 hasher = hashlib.sha256() with open(afile, "rb") as f: for chunk in iter(lambda: f.read(blocksize), b""): hasher.update(chunk) return hasher.hexdigest() def pad(s): return s + b"\0" * (AES.block_size - len(s) % AES.block_size) def encrypt(message, key, key_size=256): message = pad(message) iv = Random.new().read(AES.block_size) cipher = AES.new(key, AES.MODE_CBC, iv) return iv + cipher.encrypt(message) def decrypt(ciphertext, key): iv = ciphertext[:AES.block_size] cipher = AES.new(key, AES.MODE_CBC, iv) plaintext = cipher.decrypt(ciphertext[AES.block_size:]) return plaintext.rstrip(b"\0") def encrypt_file(file_name, key): with open(file_name, 'rb') as fo: plaintext = fo.read() enc = encrypt(plaintext, key) with open(file_name + ".enc", 'wb') as fo: fo.write(enc) def decrypt_file(file_name, key): with open(file_name, 'rb') as fo: ciphertext = fo.read() dec = decrypt(ciphertext, key) file_ending = file_name.split(".") with io.FileIO(file_name.replace(".enc", "_decrypted.") + file_ending[1], "w") as file: file.write(dec) # with open(file_name[:-4], 'wb') as fo: # fo.write(dec) def display_report_files(report_id): key = '00112233445566778899aabbccddeeff' url="https://quiet-tundra-22071.herokuapp.com/fda_report_files/" + report_id with closing(urlopen(url)) as response: #print(response.read().decode()) json_data = response.read().decode() print("") print("List of files that can be downloaded.") print("-------------------------------------------------------------------") files = json.loads(json_data) for file in files: print("id:" + str(file["id"]) + ", is_encrypted:" + str(file['is_encrypted']) + ", file_name:" + file["file_name"] + "\n\t" + " ,file_hash:" + file["file_hash"] + "\n") print("") print("-------------------------------------------------------------------") file_id = input("Please enter an id of a file to download: ") file_url = "" file_name = "" for file in files: if str(file["id"]) == file_id: file_url = "https://quiet-tundra-22071.herokuapp.com/media/" + file["file_name"] file_url_parts = file["file_name"].split('/') file_name = file_url_parts[len(file_url_parts)-1] file_hash_db = file["file_hash"] if (file['is_encrypted']): answer = input( file_name + " is encrypted. You must decrypt it to view the file. Would you like to decrypt? Enter: 'y'" + "\n") if (answer == 'y'): print("downloading " + file_name) response2 = urllib.request.urlopen(file_url) thedata = response2.read() # Write data to file file_ = open(file_name, 'wb') file_.write(thedata) file_.close() decrypt_file(file_name, key) print(file_name + " has been decrypted") print("") file_hash = hashfile(file_name) print("") print("-------------------------------------------------------------------") print("calculated file hash: " + file_hash) print(" original file hash: " + file_hash_db) if file_hash == file_hash_db: print("") print("File validated! File hash matches!") else: print("File hash does not match. Please try to download again.") print("-------------------------------------------------------------------") with open(file_name + ".sha256", 'w') as f: f.write(file_hash) print("") print("Done!") else: print("Failed to download " + file_name + "Need to encrypt this file to view.") break else: print("downloading " + file_name) response2 = urllib.request.urlopen(file_url) thedata = response2.read() # Write data to file file_ = open(file_name, 'wb') file_.write(thedata) file_.close() print("") file_hash = hashfile(file_name) print("") print("-------------------------------------------------------------------") print("calculated file hash: " + file_hash) print(" original file hash: " + file_hash_db) if file_hash == file_hash_db: print("") print("File validated! File hash matches!") else: print("File hash does not match. Please try to download again.") print("-------------------------------------------------------------------") with open(file_name + ".sha256", 'w') as f: f.write(file_hash) print("") print("Done!") break def display_reports(username,password): key = '00112233445566778899aabbccddeeff' url="https://quiet-tundra-22071.herokuapp.com/fda_getreports/" + username + "/" + password with closing(urlopen(url)) as response: #print(response.read().decode()) json_data = response.read().decode() answer = (int)(input("Select an option:" + "\n" + "1. Encrypt a file to upload,"+ "\n" + "2. Decrypt a file to download" + "\n" + "3. Quit" + "\n")) if (answer == 1): file_to_encrypt = input("Enter the name of the file you want to encrypt: ") encrypt_file(file_to_encrypt, key) print(file_to_encrypt + "has been encrypted! Upload the desired file with the '.enc' ending.") elif (answer ==2): print("List of reports.") print("-------------------------------------------------------------------") reports = json.loads(json_data) for report in reports: print("report_id:" + str(report["report_id"]) + ", title:" + report["title"] + ", attachments:" + str(report["attachments"])) print("") print("-------------------------------------------------------------------") report_id = input("Please enter a report_id with attachments to download: ") print("-------------------------------------------------------------------") display_report_files(report_id) elif (answer==3): sys.exit(0) else: answer = (int)(input("Select an option:" + "\n" + "1. Encrypt a file to upload,"+ "\n" + "2. Decrypt a file to download" + "\n" + "3. Quit" + "\n")) def login(username,password): url = "https://quiet-tundra-22071.herokuapp.com/fda_login/" + username + "/" + password with closing(urlopen(url)) as response: result = response.read() if (result == b"true"): display_reports(username,password) else: print("Invalid login. Please try again.") username = input('Enter Userid: ') password = input('Enter Password: ') login(username,password) login(username,password) # from contextlib import closing # from urllib.request import urlopen # from http.client import HTTPConnection # import sys # import json # import os # import hashlib # username = input('Enter Userid: ') # password = input('Enter Password: ') # def hashfile(afile): # blocksize = 4096 # hasher = hashlib.sha256() # with open(afile, "rb") as f: # for chunk in iter(lambda: f.read(blocksize), b""): # hasher.update(chunk) # return hasher.hexdigest() # def display_report_files(report_id): # url="http://localhost:8000/fda_report_files/" + report_id # with closing(urlopen(url)) as response: # #print(response.read().decode()) # json_data = response.read().decode() # print("") # print("List of files that can be downloaded.") # print("-------------------------------------------------------------------") # files = json.loads(json_data) # for file in files: # print("id:" + str(file["id"]) + ", is_encrypted:" + str(file['is_encrypted']) + ", file_name:" + file["file_name"]) # print("") # print("-------------------------------------------------------------------") # file_id = input("Please enter an id of a file to download: ") # file_url = "" # file_name = "" # for file in files: # if str(file["id"]) == file_id: # file_url = "http://localhost:8000/media/" + file["file_name"] # file_url_parts = file["file_name"].split('/') # file_name = file_url_parts[len(file_url_parts)-1] # print("") # #print(file_url) # print("downloading " + file_name) # break # with closing(urlopen(file_url)) as response: # data = response.read() # with open(file_name, 'wb') as f: # f.write(data) # file_hash = hashfile(file_name) # print("") # print("-------------------------------------------------------------------") # print("file hash: " + file_hash) # print("-------------------------------------------------------------------") # with open(file_name + ".sha256", 'w') as f: # f.write(file_hash) # print("") # print("Done!") # def display_reports(): # url="http://localhost:8000/fda_login/" + username + "/" + password # with closing(urlopen(url)) as response: # #print(response.read().decode()) # json_data = response.read().decode() # print("Lis of reports.") # print("-------------------------------------------------------------------") # reports = json.loads(json_data) # for report in reports: # print("report_id:" + str(report["report_id"]) + ", title:" + report["title"] + ", attachments:" + str(report["attachments"])) # print("") # print("-------------------------------------------------------------------") # report_id = input("Please enter a repor_id with attachments to download: ") # print("-------------------------------------------------------------------") # display_report_files(report_id) # display_reports()

33.84083

170

0.575153

1,184

9,780

4.619088

0.152027

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0.021942

0.023405

0.714756

0.690986

0.680929

0.674895

0.652039

0

0.014468

0.166053

9,780

288

171

33.958333

0.655959

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0

0.487654

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0.006173

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0.10856

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null

0.061728

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0.259259

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null

0

1

0

null

0

1

0

1

0

3

47593322ad21fc9f6e4d230b4878f41c9d6cfe46

159

py

Python

src/email_reader/scamchecker.py

Zaidek/discord-email-checking-bot

dcf51c15b49195908337070ec5c003fab7fb3419

[ "Apache-2.0" ]

null

src/email_reader/scamchecker.py

Zaidek/discord-email-checking-bot

dcf51c15b49195908337070ec5c003fab7fb3419

[ "Apache-2.0" ]

null

src/email_reader/scamchecker.py

Zaidek/discord-email-checking-bot

dcf51c15b49195908337070ec5c003fab7fb3419

[ "Apache-2.0" ]

null

import os import numpy as np class Emailfilter(): def __init__(self): def import_dataset(self, dataset): def train(self): def test(self):

12.230769

38

0.660377

22

159

4.545455

0.590909

0.14

0

0.238994

159

13

39

12.230769

0.826446

0

null

0

0.428571

null

0

1

0

null

0

null

0

1

0

1

0

3

476be1370dde6fcccb9aed7d57665bfccc7d0dd2

1,687

py

Python

Level2/Lessons49994/minari - 49994.py

StudyForCoding/ProgrammersLevel

dc957b1c02cc4383a93b8cbf3d739e6c4d88aa25

[ "MIT" ]

null

Level2/Lessons49994/minari - 49994.py

StudyForCoding/ProgrammersLevel

dc957b1c02cc4383a93b8cbf3d739e6c4d88aa25

[ "MIT" ]

null

Level2/Lessons49994/minari - 49994.py

StudyForCoding/ProgrammersLevel

dc957b1c02cc4383a93b8cbf3d739e6c4d88aa25

[ "MIT" ]

1

2021-04-05T07:35:59.000Z

# 방문 길이 ```python def solution(dirs): answer = 0 length = [[0 for _ in range(11)] for _ in range(11)] x,y = 5,5 # -5~5까지가 아니라 0~10로 했으니까 시작지점은 5,5 for i in range(len(dirs)): if dirs[i] == 'U': y += 1 length[x][y] += 1 if dirs[i] == 'D': y -= 1 length[x][y] += 1 if dirs[i] == 'R': x += 1 length[x][y] += 1 if dirs[i] == 'L': x -= 1 length[x][y] += 1 ``` ```python def solution(dirs): x,y = 0,0 length = set() #중복 없는 집합 설정하기 # 좌표이동 저장한 for문 for i in dirs: if i == 'U' and y < 5: length.add(((x,y),(x,y+1))) y += 1 elif i == 'D' and y > -5: length.add(((x,y-1),(x,y))) y -= 1 elif i == 'R' and x < 5: length.add(((x,y),(x+1,y))) x += 1 elif i == 'L' and x > -5: length.add(((x-1,y),(x,y))) x -= 1 return len(length) ``` for i in range(len(dirs)): 로 할거면 dirs[i] == 'U' 로 써줘야하ㅗ for i in dirs: 로 할거면 i == 'U'로 써줘야하는데 뭔차이일까 ```python def solution(dirs): x,y = 0,0 length = set() #중복 없는 집합 설정하기 # 좌표이동 저장한 for문 for i in dirs: if i == 'U' and y < 5: length.add(((x,y),(x,y+1))) y += 1 elif i == 'D' and y > -5: length.add(((x,y),(x,y-1))) y -= 1 elif i == 'R' and x < 5: length.add(((x,y),(x+1,y))) x += 1 elif i == 'L' and x > -5: length.add(((x,y),(x-1,y))) x -= 1 return len(length) ``` 이렇게 진행하면 테스트8부터 실패해 왜?

22.197368

57

0.377593

274

1,687

2.317518

0.186131

0.059843

0.037795

0.138583

0.735433

0.607874

0.581102

0.524409

0

0.054223

0.431535

1,687

75

58

22.493333

0.607925

0.054535

0

0.75

0

0.008822

0

null

0

null

0

null

0

1

0

1

0

null

0

1

0

3

478daefbebfb1385d73fbfe914e9e46515a7bd63

307

py

Python

pwnurl/models/mixin/created.py

donovan-duplessis/pwnurl

a13e27694f738228d186ea437b4d15ef5a925a87

[ "MIT" ]

2

2016-05-14T06:37:49.000Z

2020-05-13T18:09:22.000Z

pwnurl/models/mixin/created.py

donovan-duplessis/pwnurl

a13e27694f738228d186ea437b4d15ef5a925a87

[ "MIT" ]

null

pwnurl/models/mixin/created.py

donovan-duplessis/pwnurl

a13e27694f738228d186ea437b4d15ef5a925a87

[ "MIT" ]

null

# -*- coding: utf-8 -*- from sqlalchemy.ext.declarative import declared_attr from sqlalchemy.sql.expression import func from pwnurl.common.extensions import db class CreatedMixin(object): @declared_attr def created(cls): return db.Column(db.DateTime(timezone=True), default=func.now())

21.928571

72

0.739414

40

307

5.625

0.75

0.124444

0

0.003831

0.149837

307

13

73

23.615385

0.858238

0.068404

0

1

0.142857

false

0

0.428571

0.142857

0.857143

0

null

0

null

0

1

0

3

479ca8bb0fd0b91fcd5632f371b5a334f1a1b0de

342

py

Python

glob_example.py

jeffb4real/scripts

349bc3d3d819684261281a05db7a5b9389d664f1

[ "MIT" ]

null

glob_example.py

jeffb4real/scripts

349bc3d3d819684261281a05db7a5b9389d664f1

[ "MIT" ]

null

glob_example.py

jeffb4real/scripts

349bc3d3d819684261281a05db7a5b9389d664f1

[ "MIT" ]

null

#!/usr/bin/python # https://pymotw.com/2/glob/ import glob myfiles = glob.glob('./*.py') print 'Files that end in .py\n---------------------' for eachfile in myfiles: print eachfile print myfiles = glob.iglob('./*.py') print myfiles[0] exit() print 'Files that end in .py\n---------------------' for ifile in myfiles: print ifile print

17.1

52

0.605263

50

342

4.14

0.46

0.10628

0.135266

0.164251

0.241546

0

0.006757

0.134503

342

19

53

18

0.692568

0.125731

0

0.307692

0

0.337838

0.175676

0

null

0

0.076923

null

0.538462

0

null

0

1

0

null

0

1

0

1

0

3

479d1918ee9178b0a6faec41bb48a717fb58c8e0

136

py

Python

LPTHW/mystuff.py

YYMaker/PythonStarter

49f7af6c5f4acf50be5d761f372ecdff8993aff9

[ "CC0-1.0" ]

null

LPTHW/mystuff.py

YYMaker/PythonStarter

49f7af6c5f4acf50be5d761f372ecdff8993aff9

[ "CC0-1.0" ]

null

LPTHW/mystuff.py

YYMaker/PythonStarter

49f7af6c5f4acf50be5d761f372ecdff8993aff9

[ "CC0-1.0" ]

null

# this goes in mystuff.py def apple(): print "I AM APPLES!" # this is just a variable tangerine = "Living reflection of a dream"

15.111111

42

0.683824

22

136

4.227273

0.909091

0

0.227941

136

8

43

17

0.885714

0.345588

0

0.465116

0

null

0

null

0.333333

1

0

null

0

1

0

null

0

1

0

3

47a94bc3d51d78b9ee4b905d6df9a3f4963ab8c1

191

py

Python

python/license_key_formatting.py

anishLearnsToCode/leetcode-algorithms

d5a84e9179a4c3427890313a933fe1950fbcdabc

[ "MIT" ]

17

2020-06-13T15:05:55.000Z

2022-03-16T18:28:53.000Z

python/license_key_formatting.py

anishLearnsToCode/leetcode-algorithms

d5a84e9179a4c3427890313a933fe1950fbcdabc

[ "MIT" ]

null

python/license_key_formatting.py

anishLearnsToCode/leetcode-algorithms

d5a84e9179a4c3427890313a933fe1950fbcdabc

[ "MIT" ]

9

2020-12-27T19:17:58.000Z

2022-03-22T07:02:19.000Z

class Solution: def licenseKeyFormatting(self, s: str, k: int) -> str: s = s.replace('-', '').upper()[::-1] return '-'.join(s[i:i + k] for i in range(0, len(s), k))[::-1]

38.2

70

0.513089

30

191

3.266667

0.666667

0

0.020408

0.230366

191

4

71

47.75

0.646259

0

0.010471

0

1

0.25

false

0

0.75

0

null

0

1

0

null

0

1

0

1

0

3

47c7ad8cfad15e5a249a114772fe06890077f111

747

py

Python

tests/validators/test_protein_deletion.py

cancervariants/varlex

3806317fa0125c3098e80124d5169fe6a13d50db

[ "MIT" ]

null

tests/validators/test_protein_deletion.py

cancervariants/varlex

3806317fa0125c3098e80124d5169fe6a13d50db

[ "MIT" ]

15

2019-10-23T17:35:42.000Z

2020-05-05T21:04:01.000Z

tests/validators/test_protein_deletion.py

cancervariants/varlex

3806317fa0125c3098e80124d5169fe6a13d50db

[ "MIT" ]

null

"""Module for testing Protein Deletion Validator.""" import unittest from variation.validators import ProteinDeletion from variation.classifiers import ProteinDeletionClassifier from .validator_base import ValidatorBase class TestProteinDeletionValidator(ValidatorBase, unittest.TestCase): """A class to test the Protein Deletion Validator.""" def validator_instance(self): """Return protein deletion instance.""" return ProteinDeletion(*self.aa_params) def classifier_instance(self): """Return the protein deletion classifier instance.""" return ProteinDeletionClassifier() def fixture_name(self): """Return the fixture name for protein deletion.""" return "protein_deletion"

32.478261

69

0.745649

75

747

7.346667

0.426667

0.163339

0.087114

0

0.174029

747

22

70

33.954545

0.893031

0.298527

0

0.032129

0

1

0.272727

false

0

0.363636

0

1

0

null

0

null

0

1

0

1

0

1

0

3

47e2994af71d8e5e8c51c10a3086a61b08cb481e

156

py

Python

exp/package_name.py

nicolasessisbreton/fython

988f5a94cee8b16b0000501a22239195c73424a1

[ "Apache-2.0" ]

41

2016-01-21T05:14:45.000Z

2021-11-24T20:37:21.000Z

exp/package_name.py

nicolasessisbreton/fython

988f5a94cee8b16b0000501a22239195c73424a1

[ "Apache-2.0" ]

5

2016-01-21T05:36:37.000Z

2016-08-22T19:26:51.000Z

exp/package_name.py

nicolasessisbreton/fython

988f5a94cee8b16b0000501a22239195c73424a1

[ "Apache-2.0" ]

3

2016-01-23T04:03:44.000Z

2016-08-21T15:58:38.000Z

import inspect f = inspect.currentframe() print(f.f_globals) x = inspect.getfile(f) print(inspect.getmodulename(x)) print(inspect.getmodule(f).__name__)

15.6

36

0.769231

22

156

5.227273

0.5

0.208696

0

0.089744

156

10

36

15.6

0.809859

0

1

0

false

0

0.166667

0

0.166667

0.5

1

0

null

1

0

null

0

1

0

3

47f8a77df02082e4d95413309981e2c4b2efbe9e

255

py

Python

FastDSP/structures/fdsp_types.py

JuanGGO/FastDSP

652fdadbedd99b934cb6a82e3bfb07d4645425b8

[ "BSD-3-Clause" ]

null

FastDSP/structures/fdsp_types.py

JuanGGO/FastDSP

652fdadbedd99b934cb6a82e3bfb07d4645425b8

[ "BSD-3-Clause" ]

null

FastDSP/structures/fdsp_types.py

JuanGGO/FastDSP

652fdadbedd99b934cb6a82e3bfb07d4645425b8

[ "BSD-3-Clause" ]

null

import numpy as np from FastDSP.structures import _data_structures class Complex: def __init__(self, real=0, imag=0): self.real = real self.imag = imag def __str__(self): return "{} + {}j".format(self.real, self.imag)

18.214286

54

0.635294

35

255

4.342857

0.571429

0.157895

0

0.010471

0.25098

255

13

55

19.615385

0.78534

0

0.031496

0

1

0.25

false

0

0.25

0.125

0.75

0

null

0

null

0

1

0

1

0

3

9a11cafa20d407e6f3b31d9761380b2aff6bb751

26,619

py

Python

Database/DB_dev.py

yashrajt/college_FAQ-chatbot

b3a2a1b4958068b652d019c13f31f6329b093c0a

[ "MIT" ]

4

2020-10-02T20:27:03.000Z

2021-09-28T16:11:04.000Z

Database/DB_dev.py

yashrajt/college_FAQ-chatbot

b3a2a1b4958068b652d019c13f31f6329b093c0a

[ "MIT" ]

1

2020-11-25T10:23:14.000Z

Database/DB_dev.py

yashrajt/college_FAQ-chatbot

b3a2a1b4958068b652d019c13f31f6329b093c0a

[ "MIT" ]

2

2020-10-12T18:16:16.000Z

2021-09-28T16:11:15.000Z

import pprint pp = pprint.PrettyPrinter(indent=3 ,depth=6,width=100) import pickle def add_compsdata(): comps = { "comps" :{ "Faculty" : { "Dr.Deepak Sharma is the Head of Department" "The Computer Department has a total of 30 faculty members consisting of highly skilled professors and assistant professors" "For more information you can visit the given link!" "<a href='https://kjsce.somaiya.edu/en/contact-us/faculty-directory'></a>" #"https://kjsce.somaiya.edu/en/contact-us/faculty-directory" }, "infrastructure" :{ "The Department houses classrooms and laboratories with modern infrastructure to facilitate their learning. The Teaching-Learning-Evaluation paradigm is a mix of traditional as well as active learning pedagogy and use of contemporary Information and communications technology (ICT) tools. The academic ambience encourages research, development and innovation activities." "For detailed information please visit the following link!" "<a href='https://kjsce.somaiya.edu/en/programme/bachelor-of-technology-computer-engineering'>Infrastructure</a>" #"https://kjsce.somaiya.edu/en/programme/bachelor-of-technology-computer-engineering" }, "syllabus" : { "The syllabus is designed having wide choice for branch specific electives and more number of open or interdisciplinary electives." "Extensive use of Open Sources Technologies for Teaching – Learning – Evaluation" "Choice based Audit Courses, Add on Credit Courses, Add on Audit Courses, Exposure Courses, etc" "<a href='https://kjsce.somaiya.edu/en/programme/bachelor-of-technology-computer-engineering'>syllabus</a>" #"https://kjsce.somaiya.edu/en/programme/bachelor-of-technology-computer-engineering" }, "placement" : { "The Placement Process at KJSCE acts as a link between the expectations of the Recruiters with the dreams of the students. " "In year 2019-2020, we had 84 Companies visiting for recruitment." "The highest package received was Rs.18.75 lpa and overall average of Rs.5.55 lpa with over 600+ successfull placements." "For more information please visit the following link!" "<a href='https://kjsce.somaiya.edu/en/placement/overview'>placement</a>" #"https://kjsce.somaiya.edu/en/placement/overview" }, "student" : { "We at the K J Somaiya College of Engineering continuously strive to excel in academic along with various Co-curricular and extra-curricular activities. Extracurricular activities are not the components of the academic curriculum but an integral part of the educational environment for the intellectual development of an engineer. It will explore hidden talent inside you, it will make you more adaptive and flexible and help you to become a smart engineer not only just an engineering graduate." "Codecell - KJSCE Codecell, a Codechef campus chapter was founded in 2014. The main goals of K J Somaiya College of Engineering Codecell are to promote a culture of competitive coding and to improve participation of the college in the prestigious competition ACM ICPC." "CSI - The Computer Society of India established in the year 1965 is today the largest IT professionals’ society in India. Keeping in mind the interest of IT professionals & computer users, CSI works towards making a profession an area of choice among all sections of society." "For information regarding all the councils and student organisations please visit the following link:" "<a href='https://kjsce.somaiya.edu/en/students-association'>student_body</a>" #"https://kjsce.somaiya.edu/en/students-association" }, "programes":{ "Computer engineers are involved in the design of Computer-based systems to address highly specialized and specific application needs. The Department of Computer Engineering facilitates students to apply principles of Computer technology across a wide variety of fields for adapting to ever changing multidisciplinary converging technologies." "For detailed information about the programmes offered please visit the following link:" "<a href='https://kjsce.somaiya.edu/en/programme/bachelor-of-technology-computer-engineering'>programes</a>" #"https://kjsce.somaiya.edu/en/programme/bachelor-of-technology-computer-engineering" }, "admissions" :{ "For admission , intrested student are required to give Somaiya Entrance Test-Engineering(SET-E)." "We are delighted that you are considering an B.Tech programme at K J Somaiya College of Engineering. Please read all instructions and requirements carefully to ensure a complete and correct application on the provided link:" "<a href='https://kjsce.somaiya.edu/en/admission/btech'>admission</a>" #"https://kjsce.somaiya.edu/en/admission/btech" "Feel free to contact us on admission.engg@somaiya.edu in case of any queries." } } } return comps def add_etrxdata(): ETRX = { "etrx" :{ "Faculty" :{ "Dr.Jagannath H Nirmal is the Head of Department." "The Electronics Department has a total of 28 faculty members consisting of highly skilled professors and assistant professors who possess proficiency in both hardware and software areas. " "For more information you can visit the given link :- " "<a href='https://kjsce.somaiya.edu/en/contact-us/faculty-directory'>Faculty</a>" }, "infrastructure" :{ "The electronics department has multiple fully equipped laborataries with state of art instruments for the students to have hands on experience in domains like Automation, Robotics,Machine Learning, Embedded systems, IOT with no hardware limitations." "For detailed information please visit the following link!" "<a href='https://kjsce.somaiya.edu/en/programme/bachelor-of-technology-electronics-engineering'>infrastructure</a>" #"https://kjsce.somaiya.edu/en/programme/bachelor-of-technology-electronics-engineering" }, "syllabus" : { "The syllabus of Electronics department has a focused curriculum with a rigor towards hands-on experience and industry exposure. The syllabus is designed in consultation with Industrial experts and academia, to address the current industrial and social needs." "Facility Centre with Festo for Industrial Automation and with National Instruments LabView are the key elements." "Curriculum mapped to address current challenges with industry, designed through academia, industry and students participation" "Focuses on a wide variety of core courses, electives including cutting edge technologies like Artificial Intelligence, Big Data Analytics, Machine Learning, IoT and more." "For information about the detailed structure of syllabus and the subjects included, visit the link provided below!" "<a href='https://kjsce.somaiya.edu/en/programme/bachelor-of-technology-electronics-engineering'>syllabus</a>" #"https://kjsce.somaiya.edu/en/programme/bachelor-of-technology-electronics-engineering" }, "placement" : { "The Placement Process at KJSCE acts as a link between the expectations of the Recruiters with the dreams of the students. " "In year 2019-2020, we had 84 Companies visiting for recruitment." "The highest package received was Rs.18.75 lpa and overall average of Rs.5.55 lpa with over 600+ successfull placements." "For more information please visit the following link!" "<a href='https://kjsce.somaiya.edu/en/placement/overview'>placement</a>" #"https://kjsce.somaiya.edu/en/placement/overview" }, "student" : { "We at the K J Somaiya College of Engineering continuously strive to excel in academic along with various Co-curricular and extra-curricular activities. Extracurricular activities are not the components of the academic curriculum but an integral part of the educational environment for the intellectual development of an engineer. It will explore hidden talent inside you, it will make you more adaptive and flexible and help you to become a smart engineer not only just an engineering graduate." "EESA - The Electronics Engineers Students’ Association was established in the year 1988. The association promotes activities such as paper presentations, quizzes, seminars, etc.It arranges for preparatory guidance lectures and also conducts mock tests and group discussions for CAT, GRE etc." "ISTE - The ISTE Student Chapter (MH 60) was established in 2000-2001 and it was inaugurated on Wednesday, 24th January 2001 by the Chief guest Shri Pratap Borde, Principal, MGM’s JNCOE, Aurangabad." "For information regarding all the councils and student organisations please visit the following link:" "<a href='https://kjsce.somaiya.edu/en/students-association'>student body</a>" #"https://kjsce.somaiya.edu/en/students-association" }, "programes" :{ "The curriculum offers a variety of audit courses, multi-disciplinary and core Electives. Faculty Members are trained in ICT Tools, pedagogy features, and innovative assessment methods along with sound technical base." "Students gather a variety of learning experiences, where concepts are taught to the students through simulations, models, peer learning, personalized adaptive learning, etc. transforming students into industry-ready, competent Professionals." "For more details please visit the following link!" "<a href='https://kjsce.somaiya.edu/en/programme/bachelor-of-technology-electronics-engineering'>programes</a>" #"https://kjsce.somaiya.edu/en/programme/bachelor-of-technology-electronics-engineering" }, "admissions" :{ "For admission , intrested student are required to give Somaiya Entrance Test-Engineering(SET-E)." "We are delighted that you are considering an B.Tech programme at K J Somaiya College of Engineering. Please read all instructions and requirements carefully to ensure a complete and correct application on the provided link:" #"https://kjsce.somaiya.edu/en/admission/btech" "<a href='https://kjsce.somaiya.edu/en/admission/btech'>admission</a>" "Feel free to contact us on admission.engg@somaiya.edu in case of any queries." } } } return ETRX def add_extcdata(): EXTC = {"extc" :{ 'Faculty' : { "Dr. Ameya K. Naik is the Head of Department." "The EXTC departement has a total of 29 faculty members consisting of highly skilled professors and assistant professors who possess proficiency in both hardware and software areas." "For more information you can visit the given link!" "<a href='https://kjsce.somaiya.edu/en/contact-us/faculty-directory'>faculty</a>" #"https://kjsce.somaiya.edu/en/contact-us/faculty-directory" }, "infrastructure": { "The department of electronics and telecommunications has multiple fully equipped laborataries with state of art instruments" "Hands on learning through laboratory experiments to develop knowledge, skills, and values from direct experiences beyond traditional academic course." "For more information please visit the following link!" "<a href='https://kjsce.somaiya.edu/en/programme/bachelor-of-technology-electronic-telecommunication'>infrastructure</a>" #"https://kjsce.somaiya.edu/en/programme/bachelor-of-technology-electronic-telecommunication" }, "syllabus" : { "The curriculum is designed to develop technical and interpersonal skills offering wide choice for every learner." "Curriculum mapped to address current challenges with industry, designed through academia, industry and students participation" "Focuses on a wide variety of core courses, electives including cutting edge technologies like Artificial Intelligence, Big Data Analytics, Machine Learning, IoT and more." "For detailed information about the curriculum please visit the following link!" "<a href='https://kjsce.somaiya.edu/en/programme/bachelor-of-technology-electronic-telecommunication'>syllabus</a>" #"https://kjsce.somaiya.edu/en/programme/bachelor-of-technology-electronic-telecommunication" }, "placement": { "The Placement Process at KJSCE acts as a link between the expectations of the Recruiters with the dreams of the students. " "In year 2019-2020, we had 84 Companies visiting for recruitment." "The highest package received was Rs.18.75 lpa and overall average of Rs.5.55 lpa with over 600+ successfull placements." "For more information please visit the following link!" "<a href='https://kjsce.somaiya.edu/en/placement/overview'>placement</a>" #"https://kjsce.somaiya.edu/en/placement/overview" }, "student" : { "We at the K J Somaiya College of Engineering continuously strive to excel in academic along with various Co-curricular and extra-curricular activities. Extracurricular activities are not the components of the academic curriculum but an integral part of the educational environment for the intellectual development of an engineer. It will explore hidden talent inside you, it will make you more adaptive and flexible and help you to become a smart engineer not only just an engineering graduate." "IETE - The Institute of Electronics & Telecommunication Engineers - Institute Students’ Forum, ( IETE – KJSISF ) , started in the year 2001." "EESA - The Electronics Engineers Students’ Association was established in the year 1988. The association promotes activities such as paper presentations, quizzes, seminars, etc.It arranges for preparatory guidance lectures and also conducts mock tests and group discussions for CAT, GRE etc." "For information regarding all the councils and student organisations please visit the following link:" "<a href='https://kjsce.somaiya.edu/en/students-association'>student body</a>" #"https://kjsce.somaiya.edu/en/students-association" }, "programes" :{ "Electronics and Telecommunication Engineering department at K. J. Somaiya College of Engineering is committed to develop competent engineers ready to solve real world problems related to the field of electronics and communications. The department has always been on a high growth path and has experienced and dedicated faculty members with a strong devotion in the field of engineering education. The major areas of faculty expertise include Basic Electronics, Communication Systems, Computer Networks, Control Systems, Digital Signal Processing, Image Processing, Computer Vision, Instrumentation, Signal Processing, RF & Microwaves and VLSI Systems." "For more information please visit the following link!" "<a href='https://kjsce.somaiya.edu/en/programme/bachelor-of-technology-electronic-telecommunication'>programes</a>" #"https://kjsce.somaiya.edu/en/programme/bachelor-of-technology-electronic-telecommunication" }, "admissions" :{ "For admission , intrested student are required to give Somaiya Entrance Test-Engineering(SET-E)." "We are delighted that you are considering an B.Tech programme at K J Somaiya College of Engineering. Please read all instructions and requirements carefully to ensure a complete and correct application on the provided link:" #"https://kjsce.somaiya.edu/en/admission/btech" "<a href='https://kjsce.somaiya.edu/en/admission/btech'>admission</a>" "Feel free to contact us on admission.engg@somaiya.edu in case of any queries." } } } return EXTC def add_ITdata(): IT = {"it" : { "Faculty" : { "Dr. IRFAN A SIDDAVATAM is the Head of Department." "The IT Department has a total of 29 faculty members consisting of professors and assistant professors with high technical qualifications and industry required skills." "For more information please visit the given link!" "<a href='https://kjsce.somaiya.edu/en/contact-us/faculty-directory'>Faculty</a>" #"https://kjsce.somaiya.edu/en/contact-us/faculty-directory" }, "infrastructure" :{ "The department of Information Technology has sophisticated cutting edge laboratories with the latest infrastructure for parallel computing, cloud computing, Penetration Testing and Internet of Things provide quality academic experience for students." "For more information please visit the given link!" "<a href='https://kjsce.somaiya.edu/en/programme/bachelor-of-technology-information-technology'>infrastructure</a>" #"https://kjsce.somaiya.edu/en/programme/bachelor-of-technology-information-technology" }, "syllabus" :{ "Academia Curricula benchmarked with International Institutes of repute. Stream-based choices of electives in the curriculum help focused skill development and flexible credit courses for students opting higher studies abroad. Exposure to audit courses, Interdisciplinary courses, trending lab course makes a student ready for dynamically changing industry." "IT involves development of applications that churns and infers every data point in the diversified domain of Data Science, Artificial Intelligence, Cyber Security, Cloud Computing, Blockchain Technology, Application Development, IOT, etc. IT department is mandated towards focused delivery of the content by aligning curriculum and infrastructure to cater to emerging industry needs." "For more information please visit the given link!" "<a href='https://kjsce.somaiya.edu/en/programme/bachelor-of-technology-information-technology'>syllabus</a>" #"https://kjsce.somaiya.edu/en/programme/bachelor-of-technology-information-technology" }, 'placement' :{ "The Placement Process at KJSCE acts as a link between the expectations of the Recruiters with the dreams of the students. " "In year 2019-2020, we had 84 Companies visiting for recruitment." "The highest package received was Rs.18.75 lpa and overall average of Rs.5.55 lpa with over 600+ successfull placements." "For more information please visit the following link!" "<a href='https://kjsce.somaiya.edu/en/placement/overview'>placement</a>" #"https://kjsce.somaiya.edu/en/placement/overview" }, 'student': { "We at the K J Somaiya College of Engineering continuously strive to excel in academic along with various Co-curricular and extra-curricular activities. Extracurricular activities are not the components of the academic curriculum but an integral part of the educational environment for the intellectual development of an engineer. It will explore hidden talent inside you, it will make you more adaptive and flexible and help you to become a smart engineer not only just an engineering graduate." "Codecell - KJSCE Codecell, a Codechef campus chapter was founded in 2014. The main goals of K J Somaiya College of Engineering Codecell are to promote a culture of competitive coding and to improve participation of the college in the prestigious competition ACM ICPC." "Bloombox - BloomBox is the entrepreneurship cell at K J Somaiya College of Engineering." "For more information you can visit the given link!" "<a href='https://kjsce.somaiya.edu/en/students-association'>student body</a>" #"https://kjsce.somaiya.edu/en/students-association" }, 'programes' :{ "IT involves development of applications that churns and infers every data point in the diversified domain of Data Science, Artificial Intelligence, Cyber Security, Cloud Computing, Blockchain Technology, Application Development, IOT, etc." "IT department is mandated towards focused delivery of the content by aligning curriculum and infrastructure to cater to emerging industry needs." "Department aims at strengthening and preparing students for lifelong learning, research and successful adaptation of ever changing technology, which helps them to develop an ability to analyze, design and provide novel IT solutions for engineering problems." "For more information you can visit the given link!" "<a href='https://kjsce.somaiya.edu/en/programme/bachelor-of-technology-information-technology'>programes</a>" #"https://kjsce.somaiya.edu/en/programme/bachelor-of-technology-information-technology" }, 'admissions':{ "For admission , intrested student are required to give Somaiya Entrance Test-Engineering(SET-E)." "We are delighted that you are considering an B.Tech programme at K J Somaiya College of Engineering. Please read all instructions and requirements carefully to ensure a complete and correct application on the provided link:" #"https://kjsce.somaiya.edu/en/admission/btech" "<a href='https://kjsce.somaiya.edu/en/admission/btech'>admissions</a>" "Feel free to contact us on admission.engg@somaiya.edu in case of any queries." } } } return IT def add_mechdata(): Mech = {'mech':{ 'Faculty' : { "Dr. Ramesh R Lekurwale is the Head of Department." "The Mechanical Department has a total of 30 faculty members consisting of highly skilled professors and assistant professors with a good practical experience of the industry." "For more information you can visit the given link!" "<a href='https://kjsce.somaiya.edu/en/contact-us/faculty-directory'>Faculty</a>" #"https://kjsce.somaiya.edu/en/contact-us/faculty-directory" }, 'infrastructure' : { "The department of Mechanical Engineering has state of art laboratories and workshops where students can work on industry level projects with help of trained professoes and lab assistants." "Special workshops are alloted to different teams like ROBOCON , Red shift Racing, Orion Racing where students can work after college hours on projects with full access to all the equipments." #"https://kjsce.somaiya.edu/en/programme/bachelor-of-technology-mechanical-engineering" }, 'syllabus' : { "The syllabus includes multiple technical subjexts covering complete repertoire of skills necessary for overall development in field of Mechanical Engineering with workshops on emerging areas, industry based UG projects as per thrust areas ." "Projects are converted as Lab experiments. Virtual Lab Experiments and variety of internal assessment techniques such as, Open book test, MCQ, Research Presentations, Case studies, Mini Projects and many more Funded projects." "For more information please visit the following link!" "<a href='https://kjsce.somaiya.edu/en/programme/bachelor-of-technology-mechanical-engineering'></a>" #"https://kjsce.somaiya.edu/en/programme/bachelor-of-technology-mechanical-engineering" }, 'placement' :{ "The Placement Process at KJSCE acts as a link between the expectations of the Recruiters with the dreams of the students. " "In year 2019-2020, we had 84 Companies visiting for recruitment." "The highest package received was Rs.18.75 lpa and overall average of Rs.5.55 lpa with over 600+ successfull placements." "For more information please visit the following link!" "<a href='https://kjsce.somaiya.edu/en/placement/overview'></a>" #"https://kjsce.somaiya.edu/en/placement/overview" }, 'student':{ "We at the K J Somaiya College of Engineering continuously strive to excel in academic along with various Co-curricular and extra-curricular activities. Extracurricular activities are not the components of the academic curriculum but an integral part of the educational environment for the intellectual development of an engineer. It will explore hidden talent inside you, it will make you more adaptive and flexible and help you to become a smart engineer not only just an engineering graduate." "MESA - The Mechanical Engineering Students’ Association, a student organization, was founded in the year 2000.G-Force, the annual tech fest held by MESA serves as an opportunity for students to showcase their talents and technical skills." "For more information you can visit the given link!" "<a href='https://kjsce.somaiya.edu/en/students-association'>student body</a>" #"https://kjsce.somaiya.edu/en/students-association" }, 'programes' :{ "The department imparts the skills and expertise in the areas of design, manufacturing and thermal sciences that are the backbone of most sectors of industry. The department is committed to provide quality education in mechanical engineering that enables students to achieve excellence in their field of specialization. It strives to ensure an academic ambience that is important for encouraging the culture of research, development and innovation amongst students." "For more information please visit the following link!" "<a href='https://kjsce.somaiya.edu/en/programme/bachelor-of-technology-mechanical-engineering'></a>" #"https://kjsce.somaiya.edu/en/programme/bachelor-of-technology-mechanical-engineering" }, 'admissions' :{ "For admission , intrested student are required to give Somaiya Entrance Test-Engineering(SET-E)." "We are delighted that you are considering an B.Tech programme at K J Somaiya College of Engineering. Please read all instructions and requirements carefully to ensure a complete and correct application on the provided link:" #"https://kjsce.somaiya.edu/en/admission/btech" "<a href='https://kjsce.somaiya.edu/en/admission/btech'></a>" "Feel free to contact us on admission.engg@somaiya.edu in case of any queries." } } } return Mech def add_all(): db_dict = {} Comps = add_compsdata() Etrx = add_etrxdata() EXTC = add_extcdata() IT = add_ITdata() Mech = add_mechdata() branch = [Comps , Etrx , EXTC , IT , Mech] for w in branch: db_dict.update(w) with open('db_dict.pickle', 'wb') as handle: pickle.dump(db_dict, handle, protocol=pickle.HIGHEST_PROTOCOL) print("Dict created") #return db_dict add_all()

82.925234

661

0.736241

3,535

26,619

5.539463

0.176238

0.037279

0.059034

0.069452

0.701512

0.694975

0.688847

0.683025

0.68037

0

0.007348

0.187047

26,619

320

662

83.184375

0.897412

0.085841

0

0.447471

0

0.330739

0.855861

0.011442

0

1

0.023346

false

0

0.011673

0

0.054475

0.011673

0

null

0

1

0

1

0

null

0

3

9a1ae9444807c20b9bb104e21b57a2c96758c3be

231

py

Python

05-Lists-and-Tuples/5-22-Simulating-a-Queue-with-a-List.py

rajevac/deitel-intro-to-python-exercises

05f427d35ebb4bd315904f6919659335b1bf3fc9

[ "MIT" ]

null

05-Lists-and-Tuples/5-22-Simulating-a-Queue-with-a-List.py

rajevac/deitel-intro-to-python-exercises

05f427d35ebb4bd315904f6919659335b1bf3fc9

[ "MIT" ]

null

05-Lists-and-Tuples/5-22-Simulating-a-Queue-with-a-List.py

rajevac/deitel-intro-to-python-exercises

05f427d35ebb4bd315904f6919659335b1bf3fc9

[ "MIT" ]

null

items = [] def enqueue(item): items.append(item) def dequeue(): if len(items) > 0: items.pop(0) enqueue(5) enqueue(11) enqueue('Jones') enqueue(45) print(items) dequeue() print(items) dequeue() print(items)

9.625

22

0.632035

32

231

4.5625

0.46875

0.205479

0.232877

0.30137

0

0.037838

0.199134

231

24

23

9.625

0.751351

0

0.333333

0

0.021552

0

1

0.133333

false

0

0.133333

0.2

0

null

1

0

null

0

3

9a5bc10af1438448d102ae2e91c97fd9ae14d543

103

py

Python

algorithms/mergesort.py

mohit-surana/ds-algo-review

7a70d0e417da8a9f31ad4d46b8293912aa20af00

[ "MIT" ]

null

algorithms/mergesort.py

mohit-surana/ds-algo-review

7a70d0e417da8a9f31ad4d46b8293912aa20af00

[ "MIT" ]

null

algorithms/mergesort.py

mohit-surana/ds-algo-review

7a70d0e417da8a9f31ad4d46b8293912aa20af00

[ "MIT" ]

null

from data_structures.lists import LinkedList my_list = LinkedList() print('Algorithm that uses list')

20.6

44

0.805825

14

103

5.785714

0.857143

0

0.116505

103

5

45

20.6

0.89011

0

0.230769

0

1

0

false

0

0.333333

0

0.333333

1

0

null

0

1

0

null

0

1

0

3

9a60a496f4cecf4779243ba10915a40c3a90a2fe

316

py

Python

Week1_PyThonBasic/Beginner/Exercise7.py

minhvip2001/pythonproject

0ad9e70203fae2cd038872a8d1a71c0bc9416cf3

[ "MIT" ]

null

Week1_PyThonBasic/Beginner/Exercise7.py

minhvip2001/pythonproject

0ad9e70203fae2cd038872a8d1a71c0bc9416cf3

[ "MIT" ]

null

Week1_PyThonBasic/Beginner/Exercise7.py

minhvip2001/pythonproject

0ad9e70203fae2cd038872a8d1a71c0bc9416cf3

[ "MIT" ]

null

def appearance(str, word): count = 0 count = str.count(word) if(count == 0): print(word, "appeared", count, "time") elif(count < 2): print(word, "appeared", count, "time") else: print(word, "appeared", count ,"times") str = "Emma is good developer. Emma is a writer" word = "ádasdasd" appearance(str, word)

35.111111

57

0.658228

46

316

4.521739

0.456522

0.129808

0.245192

0.317308

0.25

0

0.011364

0.164557

316

9

58

35.111111

0.776515

0

0.268139

0

1

0.111111

false

0

0.111111

0.333333

0

null

0

1

0

1

0

null

0

3

7bdd45db8bb0fdfc4b2e525876b31eadba2c0fbb

154

py

Python

puppet_diamond/__meta__.py

diamond-org/puppet-diamond

eb28f5b134f37b39c6acb53bbaa98ff6f59de39c

[ "MIT" ]

null

puppet_diamond/__meta__.py

diamond-org/puppet-diamond

eb28f5b134f37b39c6acb53bbaa98ff6f59de39c

[ "MIT" ]

null

puppet_diamond/__meta__.py

diamond-org/puppet-diamond

eb28f5b134f37b39c6acb53bbaa98ff6f59de39c

[ "MIT" ]

null

__version__ = '0.3.0' __author__ = 'Ian Dennis Miller' __email__ = 'iandennismiller@gmail.com' __url__ = 'http://diamond-methods.org/puppet-diamond.html'

30.8

58

0.753247

20

154

5

0.9

0

0.021429

0.090909

154

4

59

38.5

0.692857

0

0.603896

0.162338

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

3

7bedf0ea8ef61b690b8c6cbaaf715369a70abec9

181

py

Python

srs/Observer.py

jokvedaras/game-framework

9ff60e15d1beff54f94e280501929664ce59afe7

[ "Apache-2.0" ]

null

srs/Observer.py

jokvedaras/game-framework

9ff60e15d1beff54f94e280501929664ce59afe7

[ "Apache-2.0" ]

null

srs/Observer.py

jokvedaras/game-framework

9ff60e15d1beff54f94e280501929664ce59afe7

[ "Apache-2.0" ]

null

__author__ = 'Pat and Tony' #abstract class for the Observer interface class Observer(object): #must be implemented in all subclasses def notify(self, msg): pass

18.1

42

0.701657

24

181

5.125

0.916667

0

0.232044

181

10

43

18.1

0.884892

0.430939

0

0.117647

0

1

0.25

false

0.25

0

0.5

0

1

0

null

0

null

0

1

0

1

0

3

d007252153060a74088b6191c79c62d0ce78837f

132

py

Python

app/schemas/ciphers.py

baloo1379/transposition-api

23b7ee0c53776fda1e27643410761a3e0832b101

[ "MIT" ]

null

app/schemas/ciphers.py

baloo1379/transposition-api

23b7ee0c53776fda1e27643410761a3e0832b101

[ "MIT" ]

null

app/schemas/ciphers.py

baloo1379/transposition-api

23b7ee0c53776fda1e27643410761a3e0832b101

[ "MIT" ]

null

from pydantic import BaseModel class Request(BaseModel): secret: str text: str class Response(BaseModel): text: str

12

30

0.704545

16

132

5.8125

0.625

0.150538

0

0.227273

132

10

31

13.2

0.911765

0

0.333333

0

1

0

true

0

0.166667

0

1

0

1

0

null

0

null

0

1

0

1

0

3

d00d1eae4b26b38f1229dad911b5f71d92f74175

51

py

Python

keract/__init__.py

Stochastic13/keract

c42f4f9bd8304a6c5920d067a2b420297664ec88

[ "MIT" ]

null

keract/__init__.py

Stochastic13/keract

c42f4f9bd8304a6c5920d067a2b420297664ec88

[ "MIT" ]

null

keract/__init__.py

Stochastic13/keract

c42f4f9bd8304a6c5920d067a2b420297664ec88

[ "MIT" ]

null

from keract.keract import * __version__ = '2.5.0'

12.75

27

0.705882

8

51

4

0.875

0

0.069767

0.156863

51

3

28

17

0.674419

0

0.098039

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

3

d031fef43d50e86c575fe44dce3fc1a3a4947937

93

py

Python

src/tests.py

arkavo/Maxwell-ecosystem

d956ea892ebe581b8b2c0325df59fa58a6d5db9a

[ "Apache-2.0" ]

null

src/tests.py

arkavo/Maxwell-ecosystem

d956ea892ebe581b8b2c0325df59fa58a6d5db9a

[ "Apache-2.0" ]

null

src/tests.py

arkavo/Maxwell-ecosystem

d956ea892ebe581b8b2c0325df59fa58a6d5db9a

[ "Apache-2.0" ]

null

from numba_vectormath import* import timeit a = [10,10] b = [60,70] print(distance(a,b))

9.3

29

0.677419

16

93

3.875

0.75

0

0.103896

0.172043

93

9

30

10.333333

0.701299

0

1

0

false

0

0.4

0

0.4

0.2

1

0

null

0

1

0

null

0

1

0

3

d036293e555adc9e1572601607dc8827d1cba05b

52

py

Python

code/lib/toscanfv/__init__.py

superfluidity/RDCL3D

3c5717941bd4046aa1be178e9004db1dc1c469a0

[ "Apache-2.0" ]

8

2017-03-13T16:34:28.000Z

2021-11-16T11:35:56.000Z

code/lib/toscanfv/__init__.py

superfluidity/RDCL3D

3c5717941bd4046aa1be178e9004db1dc1c469a0

[ "Apache-2.0" ]

null

code/lib/toscanfv/__init__.py

superfluidity/RDCL3D

3c5717941bd4046aa1be178e9004db1dc1c469a0

[ "Apache-2.0" ]

3

2017-03-28T09:26:40.000Z

2020-12-08T14:16:12.000Z

__all__ = ["toscanfv_parser", "toscanfv_rdcl_graph"]

52

0.788462

6

52

5.666667

0.833333

0

0.057692

52

1

52

0.693878

0

0.641509

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

3

d0363799cef628865c32a9fcb555ed09c0bef88a

2,828

py

Python

src/pyon/ion/objstore.py

scionrep/scioncc_new

086be085b69711ee24c4c86ed42f2109ca0db027

[ "BSD-2-Clause" ]

2

2015-06-09T16:07:09.000Z

2015-07-28T10:06:31.000Z

src/pyon/ion/objstore.py

scionrep/scioncc_new

086be085b69711ee24c4c86ed42f2109ca0db027

[ "BSD-2-Clause" ]

21

2015-03-18T14:39:32.000Z

2016-07-01T17:16:29.000Z

src/pyon/ion/objstore.py

scionrep/scioncc_new

086be085b69711ee24c4c86ed42f2109ca0db027

[ "BSD-2-Clause" ]

12

2015-03-18T10:53:49.000Z

2018-06-21T11:19:57.000Z

#!/usr/bin/env python """General purpose Object store implementation""" __author__ = 'Michael Meisinger' from pyon.core import bootstrap from pyon.datastore.datastore import DataStore from pyon.util.containers import recursive_encode class ObjectStore(object): """ Class that uses a data store to provide a general purpose key-value store. Values can be either dict or IonObject. """ def __init__(self, datastore_manager=None, container=None): self.container = container or bootstrap.container_instance # Get an instance of datastore configured as resource registry. datastore_manager = datastore_manager or self.container.datastore_manager self.obj_store = datastore_manager.get_datastore("objects", DataStore.DS_PROFILE.OBJECTS) self.name = 'container_object_store' self.id = 'container_object_store' def start(self): pass def stop(self): self.close() def close(self): """ Pass-through method to close the underlying datastore. """ self.obj_store.close() def create(self, obj, object_id=None): return self.obj_store.create(obj, object_id=object_id) def create_doc(self, doc, object_id=None): return self.obj_store.create_doc(doc, object_id=object_id) def create_mult(self, objects, object_ids=None): return self.obj_store.create_mult(objects, object_ids=object_ids) def create_doc_mult(self, docs, object_ids=None): return self.obj_store.create_doc_mult(docs, object_ids=object_ids) def update(self, obj): return self.obj_store.update(obj) def update_doc(self, doc): return self.obj_store.update_doc(doc) def update_mult(self, objects): return self.obj_store.update_mult(objects) def update_doc_mult(self, docs): return self.obj_store.update_doc_mult(docs) def delete(self, obj): return self.obj_store.delete(obj) def delete_doc(self, doc): return self.obj_store.delete_doc(doc) def delete_mult(self, object_ids): return self.obj_store.delete_mult(object_ids) def delete_doc_mult(self, object_ids): return self.obj_store.delete_doc_mult(object_ids) def read(self, object_id): return self.obj_store.read(object_id) def read_doc(self, doc_id): obj = self.obj_store.read_doc(doc_id) obj = obj.copy() recursive_encode(obj) return obj def read_mult(self, object_ids, strict=True): return self.obj_store.read_mult(object_ids, strict=strict) def read_doc_mult(self, object_ids, strict=True): objs = self.obj_store.read_doc_mult(object_ids, strict=strict) objs = [recursive_encode(obj) if obj is not None else None for obj in objs] return objs

29.768421

97

0.696605

398

2,828

4.70603

0.21608

0.078484

0.115323

0.134544

0.378003

0.26268

0.154832

0.12173

0.04378

0

0.213932

2,828

94

98

30.085106

0.842555

0.104668

0

0.027386

0.017721

0

1

0.37037

false

0.018519

0.055556

0.259259

0.740741

0

null

0

null

0

1

0

1

0

3

d03fcced615038e64a0fec36431fd76cee17c701

188

py

Python

gen_retinopath_data.py

Nilay017/Generative-Deep-Neural-Network-Mixture-Modeling-with-Semi-Supervised-MinMax-EM-Learning

705718823f50507f82ee1a657bba33b1c3d6d02b

[ "MIT" ]

1

2021-09-05T22:54:59.000Z

gen_retinopath_data.py

Nilay017/Generative-Deep-Neural-Network-Mixture-Modeling-with-Semi-Supervised-MinMax-EM-Learning

705718823f50507f82ee1a657bba33b1c3d6d02b

[ "MIT" ]

null

gen_retinopath_data.py

Nilay017/Generative-Deep-Neural-Network-Mixture-Modeling-with-Semi-Supervised-MinMax-EM-Learning

705718823f50507f82ee1a657bba33b1c3d6d02b

[ "MIT" ]

null

from data_processing import * for seed in [0.0, 1.0, 2.0, 3.0, 4.0]: create_and_store_DiabeticRetinopathydataset('./Diabetic_retinopathy_Data',\ '../Diabetic_retinopathy', seed=seed)

26.857143

76

0.744681

28

188

4.75

0.642857

0.285714

0

0.059524

0.106383

188

6

77

31.333333

0.732143

0

0.26738

0

1

0

false

0

0.25

0

0.25

0

1

0

null

1

0

1

0

null

0

3

d04c6c488c97bc4556d9f305f0ec039c73311f29

69

py

Python

source_code/version.py

jinolshah/sudosolver

0253cc03f7ed7c9541135a6f457eebbca5ab8272

[ "MIT" ]

null

source_code/version.py

jinolshah/sudosolver

0253cc03f7ed7c9541135a6f457eebbca5ab8272

[ "MIT" ]

null

source_code/version.py

jinolshah/sudosolver

0253cc03f7ed7c9541135a6f457eebbca5ab8272

[ "MIT" ]

null

version = 'v1.0' repolink = 'https://github.com/jinolshah/sudosolver'

34.5

52

0.73913

9

69

5.666667

1

0

0.03125

0.072464

69

2

52

34.5

0.765625

0

0.614286

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

3

d05378379a6f1c3674c67988b267eab46be42511

108

py

Python

sample7.py

HumanAcademy-AI-Cource/2021_02Sample

8873c1d58e25dac10106271c809cab34001db588

[ "Apache-2.0" ]

null

sample7.py

HumanAcademy-AI-Cource/2021_02Sample

8873c1d58e25dac10106271c809cab34001db588

[ "Apache-2.0" ]

null

sample7.py

HumanAcademy-AI-Cource/2021_02Sample

8873c1d58e25dac10106271c809cab34001db588

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -* number = 10 # 10をnumberにコピー print(number) # numberを表示

21.6

33

0.611111

13

108

5.076923

0.923077

0

0.059524

0.222222

108

5

34

21.6

0.72619

0.611111

0

1

0

false

0

0.5

1

0

null

0

1

0

null

0

1

0

3

d05706773be779d4e15a376c0615a24f792c05a4

370

py

Python

tests/__init__.py

xuexianwu/interpolation

a9c40132f64ce8a448fce0c283623e8af63ea397

[ "BSD-3-Clause" ]

9

2016-12-05T15:16:59.000Z

2021-08-16T16:37:19.000Z

tests/__init__.py

pmav99/interpolation

a9c40132f64ce8a448fce0c283623e8af63ea397

[ "BSD-3-Clause" ]

null

tests/__init__.py

pmav99/interpolation

a9c40132f64ce8a448fce0c283623e8af63ea397

[ "BSD-3-Clause" ]

9

2015-02-15T17:57:49.000Z

2021-03-08T21:09:42.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- """ author: Panagiotis Mavrogiorgos email : gmail, pmav99 """ from __future__ import division from __future__ import print_function from __future__ import unicode_literals from __future__ import absolute_import import sys if sys.version_info.major < 3: from future_builtins import map, zip, hex, oct, filter, ascii

19.473684

65

0.762162

50

370

5.22

0.7

0.191571

0.245211

0

0.012739

0.151351

370

18

66

20.555556

0.818471

0.259459

0

1

0

true

0

0.857143

0

0.857143

0.142857

0

null

0

1

0

null

0

1

0

1

0

3

d057654162c44c06e408b5479704dd3679ef1026

267

py

Python

Python 301/python_301_lesson_6_class_interfaces.py

PacktPublishing/The-Complete-Python-Course-including-Django-Web-Framework

402b35d4739ed91e50d6c3380cab6f085a46c52b

[ "MIT" ]

3

2021-07-09T01:24:20.000Z

2022-03-24T06:30:19.000Z

Python 301/python_301_lesson_6_class_interfaces.py

PacktPublishing/The-Complete-Python-Course-including-Django-Web-Framework

402b35d4739ed91e50d6c3380cab6f085a46c52b

[ "MIT" ]

null

Python 301/python_301_lesson_6_class_interfaces.py

PacktPublishing/The-Complete-Python-Course-including-Django-Web-Framework

402b35d4739ed91e50d6c3380cab6f085a46c52b

[ "MIT" ]

3

2021-07-01T21:52:53.000Z

2021-09-02T08:54:23.000Z

class Animal: fur_color = "Orange" def speak(self): raise NotImplementedError def eat(self): pass def chase(self): pass class HouseCat(Animal): def speak(self): print("Meeeeowwww") cat = HouseCat() cat.speak()

14.052632

33

0.588015

30

267

5.2

0.566667

0.102564

0.153846

0

0.303371

267

18

34

14.833333

0.83871

0

0.307692

0

0.059925

0

1

0.307692

false

0.153846

0

0.538462

0.076923

0

null

0

null

0

1

0

1

0

1

0

3

d05861a2c1abd2136e025fb189285367d5e339b6

691

py

Python

people/views.py

WebCampZg/conference-web

76ccae83924fdcd040d9280db5cf3a249d668606

[ "BSD-3-Clause" ]

4

2015-03-03T17:48:14.000Z

2019-02-27T20:28:42.000Z

people/views.py

WebCampZg/conference-web

76ccae83924fdcd040d9280db5cf3a249d668606

[ "BSD-3-Clause" ]

104

2015-02-25T18:09:15.000Z

2019-06-21T10:02:53.000Z

people/views.py

WebCampZg/conference-web

76ccae83924fdcd040d9280db5cf3a249d668606

[ "BSD-3-Clause" ]

9

2015-03-01T18:59:14.000Z

2019-06-10T06:48:45.000Z

from django.contrib.auth import get_user_model from django.contrib.auth.mixins import LoginRequiredMixin from django.urls import reverse from django.views.generic import TemplateView, UpdateView from people.forms import UserProfileForm UserModel = get_user_model() class UserProfileView(LoginRequiredMixin, TemplateView): template_name = 'people/user_profile.html' class UserProfileUpdateView(LoginRequiredMixin, UpdateView): model = UserModel form_class = UserProfileForm template_name = 'people/user_profile_update.html' def get_object(self, queryset=None): return self.request.user def get_success_url(self): return reverse('user_profile')

27.64

60

0.788712

81

691

6.555556

0.469136

0.07533

0.06403

0.079096

0.109228

0

0.143271

691

24

61

28.791667

0.896959

0

0.096961

0.079595

0

1

0.125

false

0

0.3125

0.125

0.9375

0

null

0

null

0

1

0

3

d065e21c144884dd8623063877a016917ef4f78a

994

py

Python

app/mixins.py

msoedov/dpu-srv

151ff4487fab7690a736bfd7f6dfa3782c8f3ac2

[ "MIT" ]

null

app/mixins.py

msoedov/dpu-srv

151ff4487fab7690a736bfd7f6dfa3782c8f3ac2

[ "MIT" ]

null

app/mixins.py

msoedov/dpu-srv

151ff4487fab7690a736bfd7f6dfa3782c8f3ac2

[ "MIT" ]

null

from django.views.decorators.cache import cache_page class GetCacheMixin: """ This mixin wraps CBS get into cache_page """ cache_timeout = 160 def get_cache_timeout(self): return self.cache_timeout def get(self, *args, **kwargs): return cache_page(self.get_cache_timeout(), key_prefix="views")(super().get)( *args, **kwargs ) class PostCacheMixin: """ This mixin wraps CBS get into cache_page """ cache_timeout = 160 def get_cache_timeout(self): return self.cache_timeout def post(self, *args, **kwargs): return cache_page(self.get_cache_timeout(), key_prefix="views")(super().post)( *args, **kwargs ) class BrowserCacheControl: def __init__(self, get_response): self.get_response = get_response def __call__(self, request): response = self.get_response(request) response["Cache-Control"] = "max-age=600" return response

22.590909

86

0.637827

119

994

5.067227

0.302521

0.159204

0.099502

0.056385

0.537313

0

0.012129

0.253521

994

43

87

23.116279

0.800539

0.081489

0

0.333333

0

0.038549

0

1

0.25

false

0

0.041667

0.166667

0.708333

0

null

0

null

0

1

0

1

0

3

d077f719d8b09f3278afce4c89309f7d9fbcc646

495

py

Python

ecomerce/config.py

AlexandruScrob/fast_api_proj_2

9aca5d48ab3e42933747b23ff04c6d4f3487d93e

[ "MIT" ]

null

ecomerce/config.py

AlexandruScrob/fast_api_proj_2

9aca5d48ab3e42933747b23ff04c6d4f3487d93e

[ "MIT" ]

null

ecomerce/config.py

AlexandruScrob/fast_api_proj_2

9aca5d48ab3e42933747b23ff04c6d4f3487d93e

[ "MIT" ]

null

import os APP_ENV = os.getenv("APP_ENV", "development") DATABASE_USERNAME = os.getenv("DATABASE_USERNAME", "postgres") DATABASE_PASSWORD = os.getenv("DATABASE_PASSWORD", "admin") DATABASE_HOST = os.getenv("DATABASE_HOST", "localhost") DATABASE_NAME = os.getenv("DATABASE_NAME", "postgres") TEST_DATABASE_NAME = os.getenv("TEST_DATABASE_NAME", "ecomerce_test") REDIS_HOST = os.getenv("REDIS_HOST", "127.0.0.1") REDIS_PORT = os.getenv("REDIS_PORT", "6379") REDIS_DB = os.getenv("REDIS_DB", "0")

38.076923

69

0.749495

71

495

4.929577

0.323944

0.205714

0.182857

0.114286

0

0.024176

0.080808

495

12

70

41.25

0.745055

0

0.365657

0

1

0

false

0.1

0

0.1

0

null

1

0

null

0

1

0

3

d08baac30f531fb144909ee42939bd0b06289d52

95

py

Python

custom_components/hassio_info/const.py

tboyce021/hassio-info

ff7ceef3e9ba2ec5ec65e93c836866454e437c41

[ "MIT" ]

null

custom_components/hassio_info/const.py

tboyce021/hassio-info

ff7ceef3e9ba2ec5ec65e93c836866454e437c41

[ "MIT" ]

4

2020-11-09T20:29:55.000Z

2021-06-08T10:49:57.000Z

custom_components/hassio_info/const.py

tboyce021/hassio-info

ff7ceef3e9ba2ec5ec65e93c836866454e437c41

[ "MIT" ]

1

2020-10-29T15:41:51.000Z

"""Constants for the Hassio Info integration.""" DOMAIN = "hassio_info" TITLE = "Supervisor+"

19

48

0.715789

11

95

6.090909

0.818182

0.298507

0

0.136842

95

4

49

23.75

0.817073

0.442105

0

0.468085

0

1

0

false

0

1

0

null

1

0

1

0

null

0

3

d08fcb9c33d89cd52eb7c75511f9d83fb3997987

129

py

Python

manafa/tests/batterystats/test_batteryStatsService.py

greensoftwarelab/E-MANAFA

d0ccc01a821af5b02fdcb588a4d14ff56a26cd5d

[ "MIT" ]

null

manafa/tests/batterystats/test_batteryStatsService.py

greensoftwarelab/E-MANAFA

d0ccc01a821af5b02fdcb588a4d14ff56a26cd5d

[ "MIT" ]

null

manafa/tests/batterystats/test_batteryStatsService.py

greensoftwarelab/E-MANAFA

d0ccc01a821af5b02fdcb588a4d14ff56a26cd5d

[ "MIT" ]

null

from unittest import TestCase class TestBatteryStatsService(TestCase): def test_stop(self): self.assertTrue(True)

16.125

40

0.744186

14

129

6.785714

0.857143

0

0.186047

129

7

41

18.428571

0.904762

0

0.25

1

0.25

false

0

0.25

0

0.75

0

1

0

null

0

1

0

null

0

1

0

3

d0976c7529ffe4600b8f136c6eb338e521e79c17

5,665

py

Python

app.py

pps-ti/computer-aided-diagnosys-system-prototype

d66f8561745853f5e61d928d8c2556f11adb3ecc

[ "CC0-1.0", "0BSD" ]

null

app.py

pps-ti/computer-aided-diagnosys-system-prototype

d66f8561745853f5e61d928d8c2556f11adb3ecc

[ "CC0-1.0", "0BSD" ]

null

app.py

pps-ti/computer-aided-diagnosys-system-prototype

d66f8561745853f5e61d928d8c2556f11adb3ecc

[ "CC0-1.0", "0BSD" ]

null

# WEB FRAMEWORKS from flask import Flask, render_template, redirect, request, url_for, session # REFACTORED CODES from src.db_storage.read import check_session, get_id_account, get_patients_data, data_users, user_dashboard, user_login from src.db_storage.create import add_hospital_account, admin_add_new_user from src.db_storage.delete import delete_session, delete_patient_data, delete_hospital_account from src.db_storage.update import change_admin_pwd, change_patient_data, change_hospital_account, change_user_data, get_new_password, change_user_pwd # FOR EMAIL SERVICES from src.mail_services import send_email # FOR DIAGNOSING from src.model_serving.main_serve import diagnose_patient # FLASK ROUTING AND SESSIONS app = Flask(__name__) app.secret_key = "rahasia" # GENERAL - LANDING PAGE @app.route('/') def index(): return (check_session() if session else render_template("index.html")) # GENERAL - LOGIN PAGE @app.route('/login', methods=['GET', 'POST']) def login(): return (redirect('/') if session else user_login()) # GENERAL - REGISTER PAGE @app.route('/register', methods=['GET', 'POST']) def register(): return (add_hospital_account() if request.method == 'POST' else render_template("auth/register.html")) # GENERAL - LOG OUT @app.route('/logout') def logout(): return (redirect('/') if session and delete_session() else redirect('/')) # ADMIN - DASHBOARD @app.route('/admin/<id>') def dashboard_admin(id): return (render_template("admins/dashboard.html", id = get_id_account(id, sandi=True)) if session and id == session["admin"] else redirect('/')) # ADMIN - CHANGE THE ADMIN PASSWORD @app.route('/admin/<id>/changepwd', methods=['GET', 'POST']) def change_pwd(id): return (redirect('/') if session and id == session["admin"] and request.method == 'POST' and change_admin_pwd(id) else redirect('/')) # ADMIN - SEE THE REGISTERED ACCOUNT @app.route('/admin/<id>/registered_accounts', methods=['GET', 'POST']) def registered_accounts(id): return (render_template("admins/registered_accounts.html", id = get_id_account(id, sandi=True), data = data_users()) if session and id == session["admin"] else redirect('/')) # ADMIN - ADD NEW ACCOUNT/USER @app.route('/admin/<id>/add_new', methods=['GET', 'POST']) def add_new_account(id): return (admin_add_new_user(id) if session and id == session["admin"] else redirect('/')) # ADMIN - SEE THE INACTIVE USER @app.route('/admin/<id>/queue') def queue_accounts(id): return (render_template("admins/registered_accounts.html", id = get_id_account(id, sandi=True), data = data_users(verified='N')) if session and id == session["admin"] else redirect('/')) # ADMIN - EDIT THE USER ACCOUNT @app.route('/edit_user/<id>/<id_user>', methods=['GET', 'POST']) def edit_user(id, id_user): return (change_hospital_account(id, id_user) if session and id == session['admin'] else redirect('/')) # ADMIN - DELETE THE USER ACCOUNT @app.route('/delete_user/<id>/<id_user>') def delete_user(id, id_user): return (redirect('/') if session and id == session['admin'] and delete_hospital_account(id_user) else redirect('/')) # USER - DASHBOARD @app.route('/user/<id>', methods=['GET', 'POST']) def dashboard_user(id): return (user_dashboard(id) if session and id == session["user"] else redirect('/')) # USER - GET NEW PASSWORD @app.route('/reset-pwd', methods=['GET', 'POST']) def reset_pwd(): return (get_new_password() if request.method == 'POST' else render_template("auth/forgot-password.html")) # USER - RESET PASSWORD @app.route('/reset-pwd/new-pwd', methods=['GET', 'POST']) def new_pwd(): return (change_user_pwd() if request.method == 'POST' else render_template("auth/new_pwd.html")) # USER - RESEND UNIQUE CODE TO ACTIVAE THE ACCOUNT @app.route('/resend/<id>') def resend(id): if send_email("Activation Code", id=id): return redirect(url_for('dashboard_user', id=id)) # USER - SEND THE ISSUE THAT FOUND BY THE USER @app.route('/complaint/<id>', methods=['GET', 'POST']) def user_complaint(id): return (redirect('/') if session and id == session['user'] and request.method == 'POST' and send_email('User complaint', id=id) else redirect('/')) # USER - EDIT THE USER DATA @app.route('/user_edit_data/<id>', methods=['GET', 'POST']) def user_edit_data(id): return (change_user_data(id) if session and id == session['user'] and request.method == 'POST' else redirect('/')) # USER - DIAGNOSING @app.route('/diagnose/<id>/', methods=['GET', 'POST']) def diagnose(id): return (diagnose_patient(id) if session and id == session['user'] else redirect('/')) # USER - SEE THE DIAGNOSED PATIENTS @app.route('/diagnosed/<id>/<disease>') def diagnosed(id, disease): return (render_template('users/diagnosed_list.html', id = get_id_account(id), data = get_patients_data(id, disease), disease = disease) if session and id == session['user'] else redirect('/')) # USER - EDIT PATIENT DATA @app.route('/edit_patient/<id>/<disease>/<id_patient>', methods=['GET', 'POST']) def edit_patient(id, disease, id_patient): return (change_patient_data(id, disease, id_patient) if session and id == session['user'] else redirect('/')) # USER - DELETE PATIENT DATA @app.route('/delete_patient/<id>/<disease>/<id_patient>') def delete_patient(id, disease, id_patient): return (redirect(url_for('diagnosed', id = id, disease = disease)) if session and id == session['user'] and delete_patient_data(id, disease, id_patient) else redirect('/')) # ERROR HANDLERS @app.errorhandler(404) def page_not_found(e): return render_template('error/404.html'), 404 @app.errorhandler(500) def internal_server_error(e): return render_template('error/500.html'), 500 #app.run(debug=True)

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d0afc5dd38f26e49c163f05a009530fa16b4766f

269

py

Python

fastly/auth.py

JakeRoggenbuck/fastly-py

3610d930adb17a57988f878e9b35db0b07e8aa66

[ "MIT" ]

59

2015-02-02T22:56:23.000Z

2022-03-10T08:59:58.000Z

fastly/auth.py

JakeRoggenbuck/fastly-py

3610d930adb17a57988f878e9b35db0b07e8aa66

[ "MIT" ]

44

2015-03-27T19:20:54.000Z

2022-03-10T14:24:44.000Z

fastly/auth.py

JakeRoggenbuck/fastly-py

3610d930adb17a57988f878e9b35db0b07e8aa66

[ "MIT" ]

49

2015-04-10T21:25:35.000Z

2022-03-23T08:32:05.000Z

""" """ from __future__ import absolute_import from six.moves.urllib.parse import urlencode import warnings class KeyAuthenticator(object): def __init__(self, key): self.key = key def add_auth(self, headers): headers['Fastly-Key'] = self.key

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1

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d0cfbdb0a391606a9038c01ba04d418e03b9c7a9

670

py

Python

src/halomod/__init__.py

sjforeman/halomod

587db6bc71a77ea60a541b306fc3601eeb424bc9

[ "MIT" ]

null

src/halomod/__init__.py

sjforeman/halomod

587db6bc71a77ea60a541b306fc3601eeb424bc9

[ "MIT" ]

null

src/halomod/__init__.py

sjforeman/halomod

587db6bc71a77ea60a541b306fc3601eeb424bc9

[ "MIT" ]

null

try: from importlib.metadata import version, PackageNotFoundError except ImportError: from importlib_metadata import version, PackageNotFoundError try: __version__ = version(__name__) except PackageNotFoundError: # package is not installed pass from . import halo_model from . import bias from . import concentration from . import cross_correlations from . import functional from . import halo_exclusion from . import hod from . import integrate_corr from . import profiles from . import tools from . import wdm from .halo_model import HaloModel, DMHaloModel, TracerHaloModel from .integrate_corr import ProjectedCF, AngularCF, projected_corr_gal

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null

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null

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1

0

1

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3

efb504090026afebe849482fa8ef70e51843d137

5,116

py

Python

castledice/playermat/migrations/0001_initial.py

Karins-Coils/CastleDice

66397b1d50da89aaf1ba69ea33bc58e0eba43d73

[ "MIT" ]

2

2015-09-17T16:36:27.000Z

2015-09-17T17:01:03.000Z

castledice/playermat/migrations/0001_initial.py

Karins-Coils/CastleDice

66397b1d50da89aaf1ba69ea33bc58e0eba43d73

[ "MIT" ]

9

2019-12-04T21:49:50.000Z

2021-10-02T09:08:01.000Z

castledice/playermat/migrations/0001_initial.py

khawley/CastleDice

66397b1d50da89aaf1ba69ea33bc58e0eba43d73

[ "MIT" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations from django.conf import settings import annoying.fields class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ("game", "0001_initial"), ] operations = [ migrations.CreateModel( name="PlayerBuilt", fields=[ ( "id", models.AutoField( verbose_name="ID", serialize=False, auto_created=True, primary_key=True, ), ), ("card", models.CharField(max_length=52)), ("count", models.PositiveSmallIntegerField(default=1)), ( "adds_animal", models.CharField( max_length=16, choices=[ (b"pig", b"pig"), (b"horse", b"horse"), (b"chicken", b"chicken"), (b"cow", b"cow"), (b"", b""), ], ), ), ], ), migrations.CreateModel( name="PlayerMat", fields=[ ( "id", models.AutoField( verbose_name="ID", serialize=False, auto_created=True, primary_key=True, ), ), ("victory_points", models.PositiveSmallIntegerField(default=0)), ("player_hand", annoying.fields.JSONField(null=True, blank=True)), ( "player_merchant_hand", annoying.fields.JSONField(null=True, blank=True), ), ("player_order", models.PositiveSmallIntegerField(default=0)), ("has_porkchopped", models.BooleanField(default=False)), ("has_first_gathered", models.BooleanField(default=False)), ("choice_dice", annoying.fields.JSONField(null=True, blank=True)), ("horses", models.PositiveSmallIntegerField(default=0)), ("pigs", models.PositiveSmallIntegerField(default=0)), ("cows", models.PositiveSmallIntegerField(default=0)), ("chickens", models.PositiveSmallIntegerField(default=0)), ("wood", models.PositiveSmallIntegerField(default=0)), ("stone", models.PositiveSmallIntegerField(default=0)), ("gold", models.PositiveSmallIntegerField(default=0)), ("land", models.PositiveSmallIntegerField(default=0)), ("iron", models.PositiveSmallIntegerField(default=0)), ("merchants", models.PositiveSmallIntegerField(default=0)), ("farmers", models.PositiveSmallIntegerField(default=0)), ("game", models.ForeignKey(to="game.Game", on_delete=models.CASCADE)), ( "player", models.ForeignKey( to=settings.AUTH_USER_MODEL, on_delete=models.CASCADE ), ), ], ), migrations.CreateModel( name="PlayerMatResourcePeople", fields=[ ( "id", models.AutoField( verbose_name="ID", serialize=False, auto_created=True, primary_key=True, ), ), ( "type", models.CharField( max_length=12, choices=[ (b"guard", b"guard"), (b"worker", b"worker"), (b"barbarian", b"barbarian"), ], ), ), ("total", models.PositiveSmallIntegerField(default=0)), ("wood", models.PositiveSmallIntegerField(default=0)), ("stone", models.PositiveSmallIntegerField(default=0)), ("gold", models.PositiveSmallIntegerField(default=0)), ("land", models.PositiveSmallIntegerField(default=0)), ("iron", models.PositiveSmallIntegerField(default=0)), ( "player_mat", models.ForeignKey( to="playermat.PlayerMat", on_delete=models.CASCADE ), ), ], ), migrations.AddField( model_name="playerbuilt", name="player_mat", field=models.ForeignKey(to="playermat.PlayerMat", on_delete=models.CASCADE), ), ]

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0.056452

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null

1

0

null

0

3

efbf65f7fab92ec0f8c78213a8e93c0e80213f4f

814

py

Python

src/py/lander/lib/controller.py

claymation/lander

8c0fe715a8b32f2f580ecb30aaebf4c7d007a906

[ "MIT" ]

5

2016-10-15T15:35:06.000Z

2020-11-10T14:25:48.000Z

src/py/lander/lib/controller.py

claymation/lander

8c0fe715a8b32f2f580ecb30aaebf4c7d007a906

[ "MIT" ]

null

src/py/lander/lib/controller.py

claymation/lander

8c0fe715a8b32f2f580ecb30aaebf4c7d007a906

[ "MIT" ]

5

2017-03-03T15:49:18.000Z

2020-12-29T20:48:34.000Z

#!/usr/bin/env python # vim: set ts=4 sw=4 et: class Controller(object): """ Encapsulates the control logic for each stage of flight within its own controller class. """ def __init__(self, commander, vehicle): self.commander = commander self.vehicle = vehicle def enter(self): """ Called by the commander when transitioning to this state. """ pass def exit(self): """ Called by the commander when transitioning from this state. """ pass def run(self): """ Called by the commander once per control loop. """ pass def handle_track_message(self, msg): """ Called by the commander when it receives a TrackStamped message. """ pass

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3

efd31195cb11930d566f8702ad5b95f9d60ad164

26,686

py

Python

template_container_human/labels/slice_161.py

lkondratova/Brainplot

3c8a88c1995dedeaa5cbd88ee71499c7cf9c571d

[ "MIT" ]

null

template_container_human/labels/slice_161.py

lkondratova/Brainplot

3c8a88c1995dedeaa5cbd88ee71499c7cf9c571d

[ "MIT" ]

null

template_container_human/labels/slice_161.py

lkondratova/Brainplot

3c8a88c1995dedeaa5cbd88ee71499c7cf9c571d

[ "MIT" ]

null

coordinates_E0E1E1 = ((126, 114), (126, 116), (126, 117), (126, 118), (127, 114), (127, 120), (128, 114), (128, 115), (128, 119), (128, 121), (129, 105), (129, 108), (129, 115), (129, 120), (129, 121), (130, 101), (130, 103), (130, 104), (130, 109), (130, 120), (130, 121), (131, 101), (131, 105), (131, 106), (131, 107), (131, 108), (131, 110), (131, 119), (131, 120), (131, 122), (132, 101), (132, 103), (132, 104), (132, 105), (132, 106), (132, 107), (132, 108), (132, 109), (132, 111), (132, 119), (132, 122), (133, 101), (133, 103), (133, 104), (133, 105), (133, 106), (133, 107), (133, 108), (133, 110), (133, 118), (133, 121), (133, 132), (133, 134), (134, 101), (134, 103), (134, 104), (134, 105), (134, 106), (134, 107), (134, 108), (134, 110), (134, 117), (134, 119), (134, 121), (134, 132), (134, 135), (135, 101), (135, 103), (135, 104), (135, 105), (135, 106), (135, 107), (135, 108), (135, 110), (135, 116), (135, 120), (135, 121), (135, 132), (135, 135), (136, 101), (136, 103), (136, 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120), (117, 136), (117, 138), (118, 115), (118, 116), (118, 119), (118, 136), (119, 112), (119, 113), (119, 117), (119, 119), (120, 111), ) coordinates_60CC60 = ((94, 159), (95, 158), (95, 159), (96, 152), (96, 157), (96, 159), (97, 152), (97, 156), (97, 158), (97, 160), (98, 152), (98, 156), (98, 157), (98, 158), (98, 160), (99, 149), (99, 152), (99, 156), (99, 157), (99, 158), (99, 159), (99, 161), (100, 149), (100, 151), (100, 152), (100, 153), (100, 155), (100, 156), (100, 157), (100, 158), (100, 159), (100, 160), (100, 162), (101, 149), (101, 151), (101, 152), (101, 153), (101, 154), (101, 155), (101, 156), (101, 157), (101, 158), (101, 159), (101, 160), (101, 162), (102, 149), (102, 151), (102, 152), (102, 153), (102, 154), (102, 155), (102, 156), (102, 157), (102, 158), (102, 159), (102, 160), (102, 162), (103, 148), (103, 150), (103, 151), (103, 152), (103, 153), (103, 154), (103, 155), (103, 156), (103, 157), (103, 158), (103, 159), (103, 160), (103, 162), (104, 148), (104, 150), (104, 151), (104, 152), (104, 153), (104, 154), (104, 155), (104, 156), (104, 157), (104, 158), (104, 159), (104, 160), (104, 162), (105, 148), (105, 150), (105, 151), (105, 152), (105, 153), (105, 154), (105, 155), (105, 156), (105, 157), (105, 158), (105, 159), (105, 160), (105, 162), (106, 148), (106, 150), (106, 151), (106, 152), (106, 153), (106, 154), (106, 155), (106, 156), (106, 157), (106, 158), (106, 159), (106, 160), (106, 162), (107, 148), (107, 150), (107, 151), (107, 152), (107, 153), (107, 154), (107, 155), (107, 156), (107, 157), (107, 158), (107, 159), (107, 160), (107, 161), (107, 163), (108, 147), (108, 149), (108, 150), (108, 151), (108, 152), (108, 153), (108, 154), (108, 155), (108, 156), (108, 157), (108, 158), (108, 159), (108, 160), (108, 161), (108, 163), (109, 147), (109, 149), (109, 150), (109, 151), (109, 152), (109, 153), (109, 154), (109, 155), (109, 156), (109, 157), (109, 158), (109, 159), (109, 160), (109, 161), (109, 163), (110, 147), (110, 149), (110, 150), (110, 151), (110, 152), (110, 153), (110, 154), (110, 155), (110, 156), (110, 157), (110, 158), (110, 159), (110, 160), (110, 161), (110, 163), (111, 147), (111, 149), (111, 150), (111, 151), (111, 152), (111, 153), (111, 154), (111, 155), (111, 156), (111, 157), (111, 158), (111, 159), (111, 160), (111, 161), (111, 163), (112, 146), (112, 147), (112, 149), (112, 150), (112, 151), (112, 152), (112, 153), (112, 154), (112, 155), (112, 156), (112, 157), (112, 158), (112, 159), (112, 160), (112, 161), (112, 163), (113, 146), (113, 148), (113, 149), (113, 150), (113, 151), (113, 152), (113, 153), (113, 154), (113, 155), (113, 156), (113, 157), (113, 158), (113, 159), (113, 160), (113, 161), (113, 163), (114, 145), (114, 147), (114, 148), (114, 149), (114, 150), (114, 151), (114, 152), (114, 153), (114, 154), (114, 155), (114, 156), (114, 157), (114, 158), (114, 159), (114, 160), (114, 162), (115, 145), (115, 147), (115, 148), (115, 149), (115, 150), (115, 151), (115, 152), (115, 153), (115, 154), (115, 155), (115, 156), (115, 157), (115, 158), (115, 159), (115, 160), (115, 162), (116, 145), (116, 147), (116, 148), (116, 149), (116, 150), (116, 151), (116, 152), (116, 153), (116, 154), (116, 155), (116, 156), (116, 157), (116, 158), (116, 159), (116, 160), (117, 145), (117, 147), (117, 148), (117, 149), (117, 150), (117, 151), (117, 152), (117, 153), (117, 154), (117, 155), (117, 156), (117, 157), (117, 158), (117, 159), (117, 161), (118, 145), (118, 147), (118, 148), (118, 149), (118, 150), (118, 151), (118, 152), (118, 153), (118, 154), (118, 155), (118, 156), (118, 157), (118, 158), (118, 160), (119, 146), (119, 147), (119, 148), (119, 149), (119, 150), (119, 151), (119, 152), (119, 153), (119, 154), (119, 155), (119, 156), (119, 157), (119, 159), (120, 146), (120, 150), (120, 151), (120, 152), (120, 153), (120, 154), (120, 155), (120, 156), (120, 158), (121, 147), (121, 155), (121, 157), (122, 150), (122, 151), (122, 153), (122, 154), (122, 157), (123, 156), ) coordinates_5FCC60 = ((130, 149), (130, 151), (130, 152), (130, 153), (130, 154), (130, 156), (131, 148), (131, 158), (132, 147), (132, 149), (132, 150), (132, 151), (132, 152), (132, 153), (132, 154), (132, 155), (132, 156), (133, 147), (133, 149), (133, 150), (133, 151), (133, 152), (133, 153), (133, 154), (133, 155), (133, 156), (133, 157), (133, 159), (134, 146), (134, 148), (134, 149), (134, 150), (134, 151), (134, 152), (134, 153), (134, 154), (134, 155), (134, 156), (134, 157), (134, 158), (134, 160), (135, 146), (135, 148), (135, 149), (135, 150), (135, 151), (135, 152), (135, 153), (135, 154), (135, 155), (135, 156), (135, 157), (135, 158), (135, 160), (136, 145), (136, 147), (136, 148), (136, 149), (136, 150), (136, 151), (136, 152), (136, 153), (136, 154), (136, 155), (136, 156), (136, 157), (136, 158), (136, 159), (136, 161), (137, 145), (137, 147), (137, 148), (137, 149), (137, 150), (137, 151), (137, 152), (137, 153), (137, 154), (137, 155), (137, 156), (137, 157), (137, 158), (137, 159), (137, 161), (138, 145), (138, 147), (138, 148), (138, 149), (138, 150), (138, 151), (138, 152), (138, 153), (138, 154), (138, 155), (138, 156), (138, 157), (138, 158), (138, 159), (138, 161), (139, 145), (139, 146), (139, 147), (139, 148), (139, 149), (139, 150), (139, 151), (139, 152), (139, 153), (139, 154), (139, 155), (139, 156), (139, 157), (139, 158), (139, 159), (139, 161), (140, 146), (140, 148), (140, 149), (140, 150), (140, 151), (140, 152), (140, 153), (140, 154), (140, 155), (140, 156), (140, 157), (140, 158), (140, 159), (140, 160), (140, 161), (140, 162), (141, 146), (141, 148), (141, 149), (141, 150), (141, 151), (141, 152), (141, 153), (141, 154), (141, 155), (141, 156), (141, 157), (141, 158), (141, 159), (141, 161), (142, 147), (142, 149), (142, 150), (142, 151), (142, 152), (142, 153), (142, 154), (142, 155), (142, 156), (142, 157), (142, 158), (142, 159), (142, 161), (143, 147), (143, 149), (143, 150), (143, 151), (143, 152), (143, 153), (143, 154), (143, 155), (143, 156), (143, 157), (143, 158), (143, 159), (143, 161), (144, 148), (144, 150), (144, 151), (144, 152), (144, 153), (144, 154), (144, 155), (144, 156), (144, 157), (144, 158), (144, 160), (145, 147), (145, 149), (145, 150), (145, 151), (145, 152), (145, 153), (145, 154), (145, 155), (145, 156), (145, 157), (145, 159), (146, 148), (146, 150), (146, 151), (146, 152), (146, 153), (146, 154), (146, 155), (146, 156), (146, 158), (147, 149), (147, 154), (147, 155), (147, 156), (147, 158), (148, 150), (148, 152), (148, 156), (148, 158), (149, 154), (149, 157), (150, 157), (151, 150), (152, 150), ) coordinates_F4DEB3 = ((141, 92), (142, 93), (142, 95), (142, 97), (143, 97), (144, 94), (144, 96), (145, 95), (145, 96), (146, 96), ) coordinates_26408B = ((132, 91), (132, 93), (133, 91), (133, 94), (134, 91), (134, 93), (134, 95), (135, 91), (135, 93), (135, 95), (136, 91), (136, 93), (136, 95), (137, 91), (137, 93), (137, 95), (138, 91), (138, 95), (139, 91), (139, 93), (139, 94), (139, 96), (140, 95), (140, 97), ) coordinates_F5DEB3 = ((93, 101), (94, 98), (94, 100), (95, 97), (95, 99), (96, 99), (97, 96), (97, 98), (98, 95), (98, 97), (99, 95), (99, 96), (100, 94), (100, 95), (101, 94), (101, 95), (102, 93), (102, 94), (103, 93), (103, 94), (104, 93), (105, 92), (106, 92), (107, 92), (108, 91), (109, 91), ) coordinates_016400 = ((125, 132), (125, 136), (126, 132), (126, 134), (126, 135), (126, 137), (127, 132), (127, 138), (128, 132), (128, 134), (128, 135), (128, 136), (128, 137), (128, 139), (129, 132), (129, 134), (129, 135), (129, 136), (129, 137), (129, 138), (129, 140), (130, 132), (130, 135), (130, 136), (130, 137), (130, 138), (130, 139), (130, 141), (131, 132), (131, 134), (131, 137), (131, 138), (131, 139), (131, 141), (132, 136), (132, 137), (132, 138), (132, 139), (132, 141), (133, 137), (133, 139), (133, 141), (134, 137), (134, 139), (134, 141), (135, 137), (135, 139), (135, 141), (136, 137), (136, 139), (136, 141), (137, 136), (137, 138), (137, 141), (138, 134), (138, 139), (139, 131), (139, 132), (139, 133), (139, 136), (139, 138), (140, 134), ) coordinates_27408B = ((97, 101), (98, 99), (98, 101), (99, 98), (99, 100), (100, 98), (101, 97), (101, 99), (102, 97), (102, 98), (103, 96), (103, 98), (104, 96), (104, 98), (109, 93), (110, 93), (111, 92), (111, 93), (112, 92), (112, 93), (113, 91), (113, 94), (114, 91), (114, 93), ) coordinates_006400 = ((105, 133), (105, 135), (105, 136), (106, 132), (106, 137), (106, 139), (107, 132), (107, 135), (107, 136), (107, 137), (107, 140), (107, 141), (107, 142), (108, 133), (108, 139), (108, 143), (108, 145), (109, 140), (109, 142), (109, 145), (110, 140), (110, 143), (110, 145), (111, 139), (111, 140), (111, 143), (111, 145), (112, 138), (112, 140), (112, 141), (112, 142), (112, 144), (113, 129), (113, 131), (113, 132), (113, 134), (113, 138), (113, 140), (113, 144), (114, 129), (114, 134), (114, 139), (114, 140), (114, 141), (114, 143), (115, 128), (115, 129), (115, 130), (115, 131), (115, 132), (115, 134), (115, 139), (115, 141), (115, 143), (116, 128), (116, 130), (116, 131), (116, 132), (116, 134), (116, 140), (116, 143), (117, 128), (117, 130), (117, 131), (117, 132), (117, 134), (117, 140), (117, 142), (118, 127), (118, 129), (118, 130), (118, 131), (118, 132), (118, 134), (118, 139), (118, 141), (119, 127), (119, 129), (119, 130), (119, 131), (119, 132), (119, 134), (119, 138), (119, 141), (120, 127), (120, 129), (120, 130), (120, 131), (120, 132), (120, 133), (120, 134), (120, 137), (120, 141), (121, 127), (121, 129), (121, 130), (121, 131), (121, 132), (121, 133), (121, 134), (121, 135), (122, 127), (122, 138), (123, 127), (123, 129), (123, 130), (123, 131), (123, 132), (123, 133), (123, 134), (123, 135), (123, 137), ) coordinates_CD5B45 = ((89, 100), (90, 100), (90, 101), (91, 100), (91, 101), ) coordinates_6395ED = ((125, 128), (125, 130), (126, 128), (126, 130), (127, 128), (127, 130), (128, 127), (128, 130), (129, 127), (129, 130), (130, 126), (130, 128), (130, 130), (131, 124), (131, 127), (131, 128), (131, 130), (132, 124), (132, 126), (132, 127), (132, 128), (132, 130), (133, 123), (133, 124), (133, 125), (133, 126), (133, 127), (133, 128), (133, 130), (134, 123), (134, 125), (134, 126), (134, 127), (134, 128), (134, 130), (135, 124), (135, 126), (135, 127), (135, 128), (135, 130), (136, 125), (136, 130), (137, 126), (137, 128), ) coordinates_00FFFE = ((138, 142), (138, 143), (139, 141), (139, 143), (140, 140), (140, 142), (140, 144), (141, 136), (141, 138), (141, 139), (141, 140), (141, 141), (141, 142), (141, 144), (142, 136), (142, 138), (142, 142), (142, 144), (143, 142), (143, 144), (143, 145), (144, 142), (144, 144), (145, 142), (145, 144), (146, 142), (146, 144), (147, 138), (147, 142), (147, 144), (148, 139), (148, 142), (148, 144), (149, 139), (149, 141), (149, 142), (149, 144), (150, 140), (150, 141), (150, 142), (150, 144), (151, 140), (151, 142), (151, 144), (152, 141), (152, 144), (153, 141), (153, 144), (154, 143), ) coordinates_F98072 = ((124, 114), (124, 115), (124, 116), (124, 117), (124, 118), (125, 107), (125, 109), (125, 110), (125, 112), (125, 120), (125, 122), (125, 123), (125, 124), (125, 126), (126, 105), (126, 112), (126, 122), (126, 126), (127, 100), (127, 103), (127, 104), (127, 105), (127, 106), (127, 107), (127, 108), (127, 110), (127, 112), (127, 123), (127, 125), (128, 100), (128, 102), (128, 112), (128, 123), (128, 125), (129, 110), (129, 112), (129, 117), (129, 123), (129, 124), (130, 113), (130, 116), (130, 118), (131, 115), (131, 117), (132, 114), (132, 116), (133, 113), (133, 115), (134, 112), (134, 114), ) coordinates_97FB98 = ((141, 132), (142, 130), (142, 132), (142, 134), (143, 131), (146, 136), (147, 134), (147, 136), (148, 133), (148, 136), (149, 135), (149, 137), (150, 132), (150, 137), (151, 134), (151, 135), (151, 136), (151, 138), (152, 137), (152, 138), (153, 137), (153, 139), (154, 137), (154, 140), (155, 131), (155, 137), (155, 139), (155, 142), (156, 130), (156, 131), (156, 136), (156, 138), (156, 139), (156, 140), (156, 142), (157, 130), (157, 131), (157, 135), (157, 137), (157, 138), (157, 139), (157, 140), (157, 142), (158, 130), (158, 131), (158, 134), (158, 136), (158, 137), (158, 138), (158, 139), (158, 140), (158, 141), (159, 129), (159, 131), (159, 134), (159, 136), (159, 137), (159, 138), (159, 139), (159, 140), (159, 142), (160, 129), (160, 131), (160, 132), (160, 134), (160, 135), (160, 136), (160, 137), (160, 138), (160, 139), (160, 141), (161, 129), (161, 131), (161, 134), (161, 140), (162, 129), (162, 131), (162, 132), (162, 133), (162, 138), (162, 139), (163, 129), (163, 134), (163, 135), (164, 129), (164, 131), (164, 133), ) coordinates_323287 = ((154, 129), (155, 119), (155, 121), (155, 122), (155, 123), (155, 124), (155, 125), (155, 126), (155, 129), (156, 118), (156, 128), (157, 110), (157, 112), (157, 113), (157, 114), (157, 115), (157, 116), (157, 119), (157, 120), (157, 122), (157, 125), (157, 127), (158, 110), (158, 118), (158, 119), (158, 121), (158, 125), (158, 127), (159, 110), (159, 112), (159, 113), (159, 114), (159, 115), (159, 116), (159, 117), (159, 118), (159, 119), (159, 125), (159, 127), (160, 112), (160, 113), (160, 114), (160, 116), (160, 117), (160, 119), (160, 124), (160, 127), (161, 111), (161, 115), (161, 117), (161, 118), (161, 119), (161, 120), (161, 121), (161, 122), (161, 125), (161, 127), (162, 112), (162, 118), (162, 119), (162, 120), (162, 123), (162, 124), (162, 127), (163, 117), (163, 122), (163, 125), (163, 126), (164, 118), (164, 120), (164, 121), ) coordinates_6495ED = ((112, 124), (112, 127), (113, 123), (113, 127), (114, 123), (114, 125), (114, 127), (115, 122), (115, 124), (115, 126), (116, 122), (116, 124), (116, 126), (117, 122), (117, 125), (118, 122), (118, 125), (119, 122), (119, 125), (120, 125), (121, 123), (121, 125), (122, 124), (122, 125), ) coordinates_01FFFF = ((101, 142), (102, 137), (102, 140), (102, 141), (102, 144), (102, 146), (103, 134), (103, 136), (103, 137), (103, 142), (103, 143), (103, 146), (104, 138), (104, 139), (104, 140), (104, 144), (104, 146), (105, 141), (105, 143), (105, 146), (106, 144), (106, 146), ) coordinates_FA8072 = ((97, 103), (98, 103), (99, 102), (99, 103), (100, 102), (100, 103), (101, 101), (101, 102), (102, 101), (102, 102), (103, 100), (103, 101), (104, 100), (104, 101), (105, 100), (105, 101), (106, 99), (106, 101), (107, 99), (108, 99), (108, 100), (109, 99), (109, 100), (110, 98), (110, 100), (111, 98), (111, 99), (112, 98), (112, 99), (113, 98), (114, 98), (115, 98), (115, 99), (115, 111), (115, 112), (115, 113), (115, 114), (115, 116), (115, 117), (116, 98), (116, 107), (116, 108), (116, 109), (116, 110), (116, 114), (116, 115), (116, 116), (117, 98), (117, 102), (117, 103), (117, 104), (117, 105), (117, 106), (117, 112), (117, 113), (118, 99), (118, 101), (118, 107), (118, 108), (118, 110), (119, 102), (119, 103), (119, 104), (119, 105), (119, 109), (120, 106), (120, 107), (120, 109), (120, 120), (121, 109), (121, 113), (121, 114), (121, 116), (121, 119), (121, 121), (122, 110), (122, 112), (122, 113), (122, 114), (122, 115), (122, 116), (122, 117), (122, 118), (122, 119), (122, 121), ) coordinates_98FB98 = ((85, 136), (85, 137), (86, 134), (86, 138), (86, 143), (87, 133), (87, 136), (87, 138), (87, 143), (87, 145), (88, 132), (88, 137), (88, 139), (88, 142), (88, 146), (89, 132), (89, 134), (89, 137), (89, 139), (89, 142), (89, 144), (89, 146), (90, 132), (90, 133), (90, 137), (90, 139), (90, 142), (90, 143), (90, 144), (90, 145), (90, 147), (91, 132), (91, 133), (91, 137), (91, 142), (91, 143), (91, 144), (91, 145), (91, 147), (92, 132), (92, 134), (92, 137), (92, 139), (92, 141), (92, 142), (92, 143), (92, 144), (92, 145), (92, 147), (93, 133), (93, 135), (93, 140), (93, 142), (93, 143), (93, 144), (93, 145), (93, 147), (94, 133), (94, 134), (94, 141), (94, 143), (94, 144), (94, 145), (94, 147), (95, 133), (95, 134), (95, 142), (95, 144), (95, 145), (95, 147), (96, 134), (96, 143), (96, 145), (96, 147), (97, 134), (97, 143), (97, 145), (97, 147), (98, 133), (98, 147), (99, 132), (99, 144), (99, 147), (100, 131), (100, 147), ) coordinates_FEC0CB = ((130, 98), (130, 99), (131, 98), (131, 99), (132, 98), (132, 99), (133, 98), (133, 99), (134, 98), (134, 99), (135, 99), (136, 99), (137, 99), (137, 116), (137, 118), (137, 119), (137, 120), (138, 99), (138, 115), (138, 120), (139, 99), (139, 118), (139, 121), (140, 99), (140, 119), (140, 121), (141, 99), (141, 118), (141, 119), (141, 121), (142, 99), (142, 100), (142, 117), (143, 99), (143, 100), (143, 115), (143, 118), (143, 119), (143, 121), (144, 99), (144, 100), (144, 111), (144, 113), (144, 118), (145, 100), (145, 110), (145, 114), (145, 115), (145, 116), (145, 117), (145, 118), (146, 100), (146, 101), (146, 110), (146, 112), (146, 113), (146, 114), (146, 115), (146, 116), (146, 117), (146, 118), (147, 101), (147, 110), (147, 112), (147, 113), (147, 114), (147, 115), (147, 116), (147, 117), (147, 118), (147, 119), (147, 120), (147, 121), (147, 122), (147, 123), (147, 124), (147, 126), (148, 101), (148, 111), (148, 116), (148, 117), (148, 118), (148, 126), (149, 102), (149, 112), (149, 114), (149, 115), (149, 118), (149, 119), (149, 120), (149, 121), (149, 122), (149, 123), (149, 125), (150, 116), (150, 117), (150, 119), (150, 120), (150, 121), (150, 122), (150, 123), (150, 125), (151, 103), (151, 118), (151, 119), (151, 126), (152, 104), (152, 119), (152, 121), (152, 122), (152, 123), (152, 124), (152, 125), (152, 127), (153, 105), (154, 106), (154, 114), (155, 107), (155, 109), (155, 110), (155, 111), (155, 112), (155, 113), ) coordinates_333287 = ((80, 114), (80, 116), (80, 117), (80, 120), (80, 122), (81, 112), (81, 118), (81, 119), (81, 123), (81, 127), (81, 128), (81, 129), (81, 131), (82, 111), (82, 114), (82, 115), (82, 116), (82, 117), (82, 120), (82, 121), (82, 122), (82, 124), (82, 125), (82, 126), (82, 132), (83, 110), 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(90, 105), (90, 106), (90, 107), (90, 108), (90, 109), (90, 110), (90, 116), (90, 117), (90, 118), (90, 119), (90, 122), (90, 124), (90, 129), (90, 130), (91, 111), (91, 112), (91, 113), (91, 114), (91, 115), (91, 124), (91, 130), (92, 130), (93, 125), (93, 130), (94, 125), (94, 130), (94, 131), (95, 125), (95, 130), (95, 131), (96, 130), (96, 131), (97, 130), (97, 131), (98, 129), (98, 131), (100, 128), (100, 129), ) coordinates_FFC0CB = ((92, 103), (92, 109), (92, 117), (92, 118), (92, 119), (92, 120), (92, 122), (92, 123), (93, 105), (93, 107), (93, 109), (93, 113), (93, 115), (93, 116), (93, 117), (93, 123), (94, 106), (94, 110), (94, 123), (95, 107), (95, 109), (95, 123), (96, 108), (96, 110), (96, 113), (96, 122), (96, 123), (97, 108), (97, 110), (97, 111), (97, 112), (97, 115), (97, 122), (97, 124), (98, 108), (98, 110), (98, 111), (98, 112), (98, 113), (98, 115), (98, 121), (98, 124), (99, 109), (99, 111), (99, 112), (99, 113), (99, 115), (99, 121), (99, 124), (100, 109), (100, 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null

0

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efde5cdde59b54bb2aa7e0c5cddb3bc980e73985

369

py

Python

pyLearn/exercises/08_arithmetic_operations.py

sravanrekandar/pyLearn

0d584b4d434b65ea23d7bfc810301861eac84c4d

[ "MIT" ]

null

pyLearn/exercises/08_arithmetic_operations.py

sravanrekandar/pyLearn

0d584b4d434b65ea23d7bfc810301861eac84c4d

[ "MIT" ]

null

pyLearn/exercises/08_arithmetic_operations.py

sravanrekandar/pyLearn

0d584b4d434b65ea23d7bfc810301861eac84c4d

[ "MIT" ]

null

"""08_arithmetic_operations.py.""" a = 15 b = 2 sum = a + b difference = a - b product = a * b division = a / b remainder = a % b print(f'{a} + {b} = {sum}') # 15 + 2 = 17 print(f'{a} - {b} = {difference}') # 15 - 2 = 13 print(f'{a} * {b} = {product}') # 15 * 2 = 30 print(f'{a} / {b} = {division}') # 15 / 2 = 7.5 print(f'{a} % {b} = {remainder}') # 15 % 2 = 1

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null

0

1

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3

effc4e511f2811d6fe865d6a31d6982372795f77

474

py

Python

Practice Folder/Python_pracitce.py

titogithub123/PyPoll-with-Python

6e104d1644d3ed34fdc6b0fc59685cfec413391b

[ "Apache-2.0" ]

null

Practice Folder/Python_pracitce.py

titogithub123/PyPoll-with-Python

6e104d1644d3ed34fdc6b0fc59685cfec413391b

[ "Apache-2.0" ]

null

Practice Folder/Python_pracitce.py

titogithub123/PyPoll-with-Python

6e104d1644d3ed34fdc6b0fc59685cfec413391b

[ "Apache-2.0" ]

null

#print("Hello World") #temperature = int(input("What is the temperature outside?")) #if temperature > 80: #print("Turn on the AC.") #else: #print("Open the Windows.") score = int(input("What is your test score?")) if score >= 90: print('Your grade is an A.') elif score>= 80: print('Your grade is a B') elif score>= 70: print('Your grade is a C') elif score>= 60: print('Your grade is a D') else: print('You Suck,, Drop Out of School')

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0

null

0

1

0

null

0

1

0

3

4bdae87dff626bd53fa62c8b23024d704623e8e1

204

py

Python

ui.py

Benrflanders/Tetris

33dfecd00bd6740ad378bcef7c6589ff2f076291

[ "MIT" ]

null

ui.py

Benrflanders/Tetris

33dfecd00bd6740ad378bcef7c6589ff2f076291

[ "MIT" ]

null

ui.py

Benrflanders/Tetris

33dfecd00bd6740ad378bcef7c6589ff2f076291

[ "MIT" ]

null

""" User interface file """ from pyglet.gl import * from pyglet.text import Label class PauseMenu(object): def __init__(self): self.items.append(Label("Paused")) self.reset()

13.6

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5.04

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14

43

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false

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null

0

null

0

1

0

1

0

3

ef0143e318b07fe22ae04146b550db4a0ba334af

295

py

Python

tests/assertion.py

IshitaTakeshi/Tadataka

852c7afb904503005e51884408e1492ef0be836f

[ "Apache-2.0" ]

54

2019-11-15T16:30:34.000Z

2022-01-13T15:18:54.000Z

tests/assertion.py

IshitaTakeshi/Tadataka

852c7afb904503005e51884408e1492ef0be836f

[ "Apache-2.0" ]

11

2019-02-28T08:28:24.000Z

2020-04-07T04:47:12.000Z

tests/assertion.py

IshitaTakeshi/Tadataka

852c7afb904503005e51884408e1492ef0be836f

[ "Apache-2.0" ]

1

2020-02-26T13:59:40.000Z

from numpy.testing import assert_array_almost_equal from tadataka.rigid_transform import transform def assert_projection_equal(projection, pose, points, keypoints_pred): assert_array_almost_equal( projection.compute(transform(pose.R, pose.t, points)), keypoints_pred )

29.5

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1

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null

0

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3

ef07535fa3153ace04ec89cfcbab4849d3254d67

51

py

Python

imbox/__init__.py

Arrelis/imbox

f39a39faddda04468cb65cd10f9a13f31e95d2c5

[ "MIT" ]

648

2015-01-02T23:25:10.000Z

2022-03-30T09:22:20.000Z

imbox/__init__.py

Arrelis/imbox

f39a39faddda04468cb65cd10f9a13f31e95d2c5

[ "MIT" ]

132

2015-01-13T14:11:47.000Z

2022-01-18T23:44:05.000Z

imbox/__init__.py

Arrelis/imbox

f39a39faddda04468cb65cd10f9a13f31e95d2c5

[ "MIT" ]

171

2015-01-15T16:51:57.000Z

2022-03-12T21:44:55.000Z

from imbox.imbox import Imbox __all__ = ['Imbox']

12.75

29

0.72549

7

51

4.714286

0.571429

0

0.156863

51

3

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0

1

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null

0

1

0

null

0

1

0

3

ef138b8b7c961fc4eb5f7cbdc1d96ab96d036765

1,251

py

Python

python/hub/notifier.py

majjihari/0-hub

b4febc191595f1f36e0fe64eec4b631f1a40698a

[ "Apache-2.0" ]

null

python/hub/notifier.py

majjihari/0-hub

b4febc191595f1f36e0fe64eec4b631f1a40698a

[ "Apache-2.0" ]

34

2018-08-01T12:52:35.000Z

2022-01-24T18:41:48.000Z

python/hub/notifier.py

majjihari/0-hub

b4febc191595f1f36e0fe64eec4b631f1a40698a

[ "Apache-2.0" ]

2

2020-12-26T11:34:14.000Z

2021-01-05T20:08:24.000Z

import queue import json class EventNotifier: def __init__(self): self.listeners = {} def initialize(self, id): q = queue.Queue(maxsize=8192) self.listeners[id] = q return q def error(self, msg): return {"status": "error", "message": msg} # flag this id as ended, should be cleaned up later def finalize(self, id): self.listeners[id].put_nowait(None) return True # clean the task id def terminate(self, id): print("[+] notify: cleaning up: %s" % id) del self.listeners[id] return True # push an object to a channel def push(self, id, item): return self.announce(id, json.dumps(item)) # returns pushable object over the wire def raw(self, item): return self.format(json.dumps(item)) # grab queue channel if exists def listen(self, id): if id not in self.listeners: return None return self.listeners[id] def format(self, data): return "data: %s\n\n" % data def announce(self, id, msg): # print(id, msg) msg = self.format(msg) if id not in self.listeners: return None self.listeners[id].put_nowait(msg)

22.745455

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0.584333

168

1,251

4.315476

0.386905

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0.103448

0.049655

0.154483

0.088276

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0.00463

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1,251

54

56

23.166667

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0.30303

false

0

0.060606

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0.69697

0.030303

0

null

0

null

0

1

0

1

0

3

ef1ce027bc2d57cf6ed2dfd476eca7f658232d8f

48

py

Python

instance/config.py

jameskomo/personal-blog

d4756dbb0a21960edaef893379ef64286ed8b57d

[ "MIT" ]

null

instance/config.py

jameskomo/personal-blog

d4756dbb0a21960edaef893379ef64286ed8b57d

[ "MIT" ]

null

instance/config.py

jameskomo/personal-blog

d4756dbb0a21960edaef893379ef64286ed8b57d

[ "MIT" ]

null

BLOG_API_BASE_URL='KoMoH' SECRET_KEY = 'KoMoH'

12

25

0.770833

8

48

4.125

0.875

0

0.104167

48

3

26

16

0.767442

0

0.212766

0

1

0

false

0

1

0

null

0

1

0

null

0

3

ef370acac3d226db771bdf39234e46897bf257ca

57

py

Python

example_snippets/multimenus_snippets/Snippets/SciPy/Physical and mathematical constants/CODATA physical constants/S/Stefan-Boltzmann constant.py

kuanpern/jupyterlab-snippets-multimenus

477f51cfdbad7409eab45abe53cf774cd70f380c

[ "BSD-3-Clause" ]

null

example_snippets/multimenus_snippets/Snippets/SciPy/Physical and mathematical constants/CODATA physical constants/S/Stefan-Boltzmann constant.py

kuanpern/jupyterlab-snippets-multimenus

477f51cfdbad7409eab45abe53cf774cd70f380c

[ "BSD-3-Clause" ]

null

example_snippets/multimenus_snippets/Snippets/SciPy/Physical and mathematical constants/CODATA physical constants/S/Stefan-Boltzmann constant.py

kuanpern/jupyterlab-snippets-multimenus

477f51cfdbad7409eab45abe53cf774cd70f380c

[ "BSD-3-Clause" ]

1

2021-02-04T04:51:48.000Z

constants.physical_constants["Stefan-Boltzmann constant"]

57

0.877193

6

57

8.166667

0.833333

0

0.017544

57

1

57

0.875

0

0.431034

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

3

ef5e2277e7afed50f2af3f9bfc96199a38c138ca

52

py

Python

scratch/eyy/dummy_script.py

sasgc6/pysmurf

a370b515ab717c982781223da147bea3c8fb3a9c

[ "BSD-3-Clause-LBNL" ]

3

2019-10-17T02:37:59.000Z

2022-03-09T16:42:34.000Z

scratch/eyy/dummy_script.py

sasgc6/pysmurf

a370b515ab717c982781223da147bea3c8fb3a9c

[ "BSD-3-Clause-LBNL" ]

446

2019-04-10T04:46:20.000Z

2022-03-15T20:27:57.000Z

scratch/eyy/dummy_script.py

sasgc6/pysmurf

a370b515ab717c982781223da147bea3c8fb3a9c

[ "BSD-3-Clause-LBNL" ]

13

2019-02-05T18:02:05.000Z

2021-03-02T18:41:49.000Z

# This does nothing import numpy as np test = True

10.4

19

0.730769

9

52

4.222222

1

0

0.230769

52

4

20

13

0.95

0.326923

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

3

3232dd73b0a82fd0a1e7c6b58da1573424744668

522

py

Python

pypixiv/user/model.py

ombe1229/pypixiv

db4ab6721b299e8f024537f053935201072742a7

[ "MIT" ]

4

2021-02-19T07:07:47.000Z

2021-07-30T13:25:29.000Z

pypixiv/user/model.py

ombe1229/pypixiv

db4ab6721b299e8f024537f053935201072742a7

[ "MIT" ]

1

2021-07-30T04:52:12.000Z

2021-08-01T16:51:42.000Z

pypixiv/user/model.py

ombe1229/pypixiv

db4ab6721b299e8f024537f053935201072742a7

[ "MIT" ]

1

2021-07-30T15:42:59.000Z

from pypixiv.user.body import UserFullInfoBody, UserInfoBody from typing import Any from pypixiv.abc import BasePixiv class UserInfo(BasePixiv): def __init__(self, response: Any): super().__init__(response) @property def body(self) -> UserInfoBody: return UserInfoBody(super().body) class UserFullInfo(BasePixiv): def __init__(self, response: Any): super().__init__(response) @property def body(self) -> UserFullInfoBody: return UserFullInfoBody(super().body)

23.727273

60

0.703065

56

522

6.267857

0.375

0.062678

0.091168

0.11396

0.381766

0

0.197318

522

21

61

24.857143

0.837709

0

0.4

0

1

0.266667

false

0

0.2

0.133333

0.733333

0

null

0

null

0

1

0

1

0

3

3249bf88f110d6988cf2e68e0a788b8c2675a9f0

43

py

Python

sfepy/fem/extmods/__init__.py

olivierverdier/sfepy

83aefb7b33ea17f4acb83388ba8bc7314c77616c

[ "BSD-3-Clause" ]

1

2015-07-30T13:47:23.000Z

sfepy/fem/extmods/__init__.py

olivierverdier/sfepy

83aefb7b33ea17f4acb83388ba8bc7314c77616c

[ "BSD-3-Clause" ]

null

sfepy/fem/extmods/__init__.py

olivierverdier/sfepy

83aefb7b33ea17f4acb83388ba8bc7314c77616c

[ "BSD-3-Clause" ]

null

__all__ = ['fem', 'geometry', 'meshutils']

21.5

42

0.627907

4

43

5.75

1

0

0.116279

43

1

43

0.605263

0

0.465116

0

1

0

false

0

1

0

null

0

1

0

null

0

3

3261cbf1f04fc704527f276189dbf3dce48d4e64

338

py

Python

Bloggie/web/admin.py

ArunSankarKs/Bloggie

5814c498d044a6cb5e047eec846d71ccea7cce7c

[ "BSD-3-Clause" ]

4

2019-09-29T03:29:56.000Z

2019-10-09T09:41:39.000Z

Bloggie/web/admin.py

ArunSankarKs/Bloggie

5814c498d044a6cb5e047eec846d71ccea7cce7c

[ "BSD-3-Clause" ]

10

2020-06-05T23:14:16.000Z

2022-03-11T23:59:46.000Z

Bloggie/web/admin.py

ArunSankarKs/Bloggie

5814c498d044a6cb5e047eec846d71ccea7cce7c

[ "BSD-3-Clause" ]

1

2019-09-25T15:03:36.000Z

from django.contrib import admin # Register your models here so that you can CRUD them from Django Admin Site from web.models import Comment, Article, Topic, Business, Profile admin.site.register(Article) admin.site.register(Topic) admin.site.register(Comment) admin.site.register(Business) admin.site.register(Profile)

24.142857

77

0.772189

48

338

5.4375

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0.206897

0.325671

0

0.147929

338

14

78

24.142857

0.90625

0.218935

0

1

0

true

0

0.285714

0

0.285714

0

null

1

0

null

0

1

0

3

326978ec57d1402afb9f816b6f65f731f691584e

848

py

Python

spar_python/circuit_generation/ibm/ibm_batch.py

nathanawmk/SPARTA

6eeb28b2dd147088b6e851876b36eeba3e700f16

[ "BSD-2-Clause" ]

37

2017-06-09T13:55:23.000Z

2022-01-28T12:51:17.000Z

spar_python/circuit_generation/ibm/ibm_batch.py

nathanawmk/SPARTA

6eeb28b2dd147088b6e851876b36eeba3e700f16

[ "BSD-2-Clause" ]

null

spar_python/circuit_generation/ibm/ibm_batch.py

nathanawmk/SPARTA

6eeb28b2dd147088b6e851876b36eeba3e700f16

[ "BSD-2-Clause" ]

5

2017-06-09T13:55:26.000Z

2021-11-11T03:51:56.000Z

# ***************************************************************** # Copyright 2015 MIT Lincoln Laboratory # Project: SPAR # Authors: SY # Description: IBM TA2 batch class # # Modifications: # Date Name Modification # ---- ---- ------------ # 14 Nov 2012 SY Original Version # ***************************************************************** class IBMBatch(list): """ This class represents a batched input. """ def __str__(self): return "".join([str(int(inp_bit)) for inp_bit in self]) def get_num_values(self, value): """returns the number of instances of value in the batch""" num_values = 0 for elt in self: if elt == value: num_values += 1 return num_values

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null

0

null

0

1

0

1

0

3

32840e52e24b8d715d4a6e5f6b6ce4b1f3fdc56d

145

py

Python

src/core/repository/databases/__init__.py

lucassaporetti/bookstore

9a33d3eebd1f099a27e8a7089a1d9c696613888a

[ "MIT" ]

1

2021-02-11T18:44:53.000Z

src/core/repository/databases/__init__.py

lucassaporetti/bookstore

9a33d3eebd1f099a27e8a7089a1d9c696613888a

[ "MIT" ]

null

src/core/repository/databases/__init__.py

lucassaporetti/bookstore

9a33d3eebd1f099a27e8a7089a1d9c696613888a

[ "MIT" ]

null

# _*_ coding: utf-8 _*_ # # Package: bookstore.src.core.repository.databases __all__ = ["book_repository", "db_repository", "mysql_repository"]

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null

0

1

0

1

0

null

0

3

328eabe575981d8554ab996b55554ba6d6c75230

207

py

Python

doctotxt.py.py

harmydiano/yorubastopwords

dd3f6ead03522653004119c7222f9f3e1809e35a

[ "MIT" ]

null

doctotxt.py.py

harmydiano/yorubastopwords

dd3f6ead03522653004119c7222f9f3e1809e35a

[ "MIT" ]

null

doctotxt.py.py

harmydiano/yorubastopwords

dd3f6ead03522653004119c7222f9f3e1809e35a

[ "MIT" ]

null

import docx2txt def doctotxt(filename): my_text = docx2txt.process(filename) with open(".\\mynewdirectory\\Output2.txt", "w") as text_file: return text_file.write((my_text).encode("utf-8"))

29.571429

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0.022727

0.149758

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6

67

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1

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null

0

1

0

null

0

1

0

3

3290c6f05f72ccf7391cbf2c0321dd30215b5f53

226

py

Python

tests/test_main.py

outloudvi/gu

4070c15d9cf1e48284f5c27a8354c25523b44e41

[ "MIT" ]

2

2020-01-30T19:48:36.000Z

2020-01-31T00:15:43.000Z

tests/test_main.py

outloudvi/gu

4070c15d9cf1e48284f5c27a8354c25523b44e41

[ "MIT" ]

1

2020-01-31T16:59:51.000Z

2020-01-31T17:01:56.000Z

tests/test_main.py

outloudvi/gu

4070c15d9cf1e48284f5c27a8354c25523b44e41

[ "MIT" ]

2

2020-01-30T18:34:03.000Z

2020-11-06T15:57:31.000Z

from gu import cli from gu.sender import StdoutSender import os def test_stdout_package(): pkg = StdoutSender({}) pkg.sendText("hello, world") def test_cli(): assert os.system("gu --sender stdout hello") == 0

16.142857

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0.005464

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226

13

54

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0.830601

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null

0

null

0

1

0

1

0

1

0

3

32a5df997f842bfde06d0eb50051eadd0a014101

821

py

Python

loadlimit/__init__.py

arielmakestuff/loadlimit

70d3d23eecfe7922699098ea4901cc8673d14576

[ "MIT" ]

null

loadlimit/__init__.py

arielmakestuff/loadlimit

70d3d23eecfe7922699098ea4901cc8673d14576

[ "MIT" ]

5

2016-11-28T16:59:44.000Z

2017-03-18T17:10:40.000Z

loadlimit/__init__.py

arielmakestuff/loadlimit

70d3d23eecfe7922699098ea4901cc8673d14576

[ "MIT" ]

null

# -*- coding: utf-8 -*- # loadlimit/__init__.py # Copyright (C) 2016 authors and contributors (see AUTHORS file) # # This module is released under the MIT License. """loadlimit package""" # ============================================================================ # Imports # ============================================================================ # Local imports from . import event # ============================================================================ # Metadata # ============================================================================ __author__ = 'Ariel De Ocampo' __email__ = 'arielmakestuff@gmail.com' __version__ = '0.1' # ============================================================================ # # ============================================================================

26.483871

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0.090134

821

30

79

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0.809988

0

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0

1

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false

0

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0.25

0

null

0

1

0

null

1

0

3

32ae6b29022d3e6eaea6a3b088df710df0d8428e

595

py

Python

lambda/stepfunction_create_solution_version.py

ksmin23/personalize-data-science-sdk-workflow

402b7fe0a5356d10234c3261d939fc81e76b4a41

[ "MIT-0" ]

null

lambda/stepfunction_create_solution_version.py

ksmin23/personalize-data-science-sdk-workflow

402b7fe0a5356d10234c3261d939fc81e76b4a41

[ "MIT-0" ]

null

lambda/stepfunction_create_solution_version.py

ksmin23/personalize-data-science-sdk-workflow

402b7fe0a5356d10234c3261d939fc81e76b4a41

[ "MIT-0" ]

null

import os import json import base64 import boto3 AWS_REGION_NAME = os.getenv('AWS_REGION_NAME', 'us-east-1') personalize = boto3.client('personalize', region_name=AWS_REGION_NAME) def lambda_handler(event, context): create_solution_version_response = personalize.create_solution_version( solutionArn = event['solution_arn'] ) solution_version_arn = create_solution_version_response['solutionVersionArn'] print(json.dumps(create_solution_version_response, indent=2)) return { 'statusCode': 200, 'solution_version_arn': solution_version_arn }

25.869565

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0.247642

0.198113

0.205189

0

0.017893

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595

22

82

27.045455

0.82505

0

0.159664

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0.0625

0

null

1

0

null

0

3

32b21b9e25faa3a8ec1fdabb4eecd30beaf17cd6

4,023

py

Python

pybehome/__init__.py

bratanon/pybehome

76fa46dc13dcccd23f6d08a966a2b7c59e351ae8

[ "MIT" ]

1

2020-02-16T19:56:15.000Z

pybehome/__init__.py

bratanon/pybehome

76fa46dc13dcccd23f6d08a966a2b7c59e351ae8

[ "MIT" ]

null

pybehome/__init__.py

bratanon/pybehome

76fa46dc13dcccd23f6d08a966a2b7c59e351ae8

[ "MIT" ]

null

import logging from requests import RequestException from pybehome import api _LOGGER = logging.getLogger(__name__) class PyBeHome: def __init__(self, username, password): self._username = username self._password = password self._token = None self.session = None self.devices = {} self.location = None def login(self) -> bool: if self.get_auth_token(): return True _LOGGER.warning("Unable to login to WeBeHome.") return False def get_auth_token(self): _LOGGER.debug("Getting auth token from OPEN API.") try: self._token = api.request_token(self._username, self._password) return True except RequestException as error: _LOGGER.warning(error) return False def update_devices(self): _LOGGER.debug("Getting device data from OPEN API.") try: device_list = list(filter(lambda item: 'SubUnitID' in item, api.request_devices(self._token))) for device_data in device_list: device = Device(device_data) self.devices[device.device_id] = device except RequestException as error: _LOGGER.warning(error) def get_device(self, device_id): return self.devices.get(device_id) def get_devices(self): return self.devices.values() def update_location(self): _LOGGER.debug("Getting location data from OPEN API.") try: location_data = api.request_location(self._token) del location_data['Tabs'] self.location = Location(location_data) except RequestException as error: _LOGGER.warning(error) def get_location(self): return self.location def set_alarm_state(self, arm_state: str): _LOGGER.debug("Setting arm state to %s.", arm_state) try: return api.request_set_arm_state(self._token, arm_state) except RequestException as error: _LOGGER.warning(error) def token_destroy(self): _LOGGER.debug("Destroying token.") try: return api.request_token_destroy(self._token) except RequestException as error: _LOGGER.warning(error) class Device(object): def __init__(self, device): self._device = device @property def device(self): return self._device @property def device_id(self): return self.device.get('SubUnitUniqueID') @property def name(self): return self.device.get('Descr') @property def type(self): return self.device.get('SubUnitTypeDescr') @property def display_type(self): return int(self.device.get('DisplayType')) @property def battery_level(self): return int(self.device.get('BatteryLevel')) @property def operation_status(self): return int(self.device.get('OperationStatus')) @property def last_event_time(self): return self.device.get('ReadingUpdated') @property def last_event_data(self): return self.device.get('LastDataEvent') @property def lost_connection(self): return bool(self.device.get('LostConnection')) def __str__(self): return str(self.__class__) + ": " + str(self.__dict__) class Location(object): def __init__(self, location): self._location = location @property def location(self): return self._location @property def base_unit_id(self): return self.location.get('BaseUnitID') @property def name(self): return self.location.get('Descr') @property def operation_status(self): return self.location.get('OperationStatus') @property def operation_status_info(self): return self.location.get('OperationStatusInfo') def __str__(self): return str(self.__class__) + ": " + str(self.__dict__)

25.954839

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4,023

5.334071

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0.075487

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0.331398

0.218167

0.136043

0.097055

0.076317

0.032352

0

0.278648

4,023

154

76

26.123377

0.830806

0

0.362069

0

0.087745

0

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0.25

false

0.025862

0.172414

0.525862

0

null

0

null

0

1

0

1

0

3

32c7b697bc756b025da320a229d596603bd41b6c

1,272

py

Python

Python/Jokenpo.py

TSCTiago/PythonTeste

f406db1d862965d9dfa4dee58c3a917041174f2d

[ "MIT" ]

null

Python/Jokenpo.py

TSCTiago/PythonTeste

f406db1d862965d9dfa4dee58c3a917041174f2d

[ "MIT" ]

null

Python/Jokenpo.py

TSCTiago/PythonTeste

f406db1d862965d9dfa4dee58c3a917041174f2d

[ "MIT" ]

null

import random from time import sleep print('GAME PEDRA-PAPEL- TESOURA') print('''' OPÇÕES [0] = PEDRA [1] = PAPEL [2] = TESOURA ''') puter = random.randint(0, 2) while True: jog = int(input('SUA OPÇÃO: ')) if 0 != jog and jog != 1 and jog != 2: print('Opção Inválida') print('Tente novamente.....') if 0 <= jog <= 2: break print('JO') sleep(1) print('KEN') sleep(1) print('PÔ') if puter == 0: if jog == 0: print('Computador jogou Pedra') print('Empate') elif jog == 1: print('Computador jogou Pedra') print('Jogador Vence') elif jog == 2: print('Computador jogou Pedra') print('Computador Vence') elif puter == 1: if jog == 0: print('Computador jogou Papel') print('Computador Vence') elif jog == 1: print('Computador jogou Papel') print('Empate') elif jog == 2: print('Computador jogou Papel') print('Jogador Vence') elif puter == 2: if jog == 0: print('Computador jogou Tesoura') print('jogador Vence') elif jog == 1: print('Computador jogou Tesoura') print('Computador Vence') elif jog == 2: print('Computador jogou Tesoura') print('Empate')

24.941176

42

0.556604

157

1,272

4.509554

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0.04661

0.559322

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0.026816

0.296384

1,272

51

43

24.941176

0.764246

0

0.54902

0

0.349568

0

1

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false

0

0.039216

0

0.039216

0.490196

0

null

1

0

null

0

1

0

3

086d4d2b9412c3a5e11a76f770c222813bfb5129

1,025

py

Python

src/projects/migrations/0027_auto_20170227_1242.py

MEEM-MLHD/territoire_conseil

a1213575bc4fa12574859aab0dfa90f4eff7c6eb

[ "BSD-3-Clause" ]

null

src/projects/migrations/0027_auto_20170227_1242.py

MEEM-MLHD/territoire_conseil

a1213575bc4fa12574859aab0dfa90f4eff7c6eb

[ "BSD-3-Clause" ]

null

src/projects/migrations/0027_auto_20170227_1242.py

MEEM-MLHD/territoire_conseil

a1213575bc4fa12574859aab0dfa90f4eff7c6eb

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.10 on 2017-02-27 12:42 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('projects', '0026_stakeholdertype_manager'), ] operations = [ migrations.RemoveField( model_name='project', name='missing_skills', ), migrations.RemoveField( model_name='project', name='missing_skills_others', ), migrations.RemoveField( model_name='project', name='mobilized_skills', ), migrations.RemoveField( model_name='project', name='mobilized_skills_others', ), migrations.AlterField( model_name='stakeholdertype', name='manager', field=models.BooleanField(default=None, verbose_name='Pilote'), ), migrations.DeleteModel( name='Skill', ), ]

25.625

75

0.570732

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1,025

6.431818

0.534091

0.079505

0.183746

0.212014

0.388693

0

0.028694

0.32

1,025

39

76

26.282051

0.783357

0.06439

0

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1

0

0.17887

0.075314

0

1

0

false

0

0.0625

0

0.15625

0

null

0

1

0

1

0

null

0

3

0890600d9745f0a98d9c589c9db641b844d463bd

205

py

Python

hello/urls.py

narathip1598/gogodeploy

625424ae616d50d1c31e408923b271271d5f267c

[ "MIT" ]

null

hello/urls.py

narathip1598/gogodeploy

625424ae616d50d1c31e408923b271271d5f267c

[ "MIT" ]

null

hello/urls.py

narathip1598/gogodeploy

625424ae616d50d1c31e408923b271271d5f267c

[ "MIT" ]

null

from django.urls import path from django.contrib import admin from . import views urlpatterns = [ path('', views.loginForm), path('admin/', admin.site.urls), path('bet',views.betLotto), ]

20.5

36

0.673171

26

205

5.307692

0.5

0.144928

0

0.185366

205

9

37

22.777778

0.826347

0

0.043902

0

1

0

false

0

0.375

0

0.375

0

1

0

null

0

1

0

null

0

1

0

3

08b966bbbdc9e3a560310c086b2453e55a46f151

144

py

Python

collectData.py

Samleo8/OpenRadar

5460891fd0ea1218dce5a9c279a22696a8936de2

[ "Apache-2.0" ]

null

collectData.py

Samleo8/OpenRadar

5460891fd0ea1218dce5a9c279a22696a8936de2

[ "Apache-2.0" ]

null

collectData.py

Samleo8/OpenRadar

5460891fd0ea1218dce5a9c279a22696a8936de2

[ "Apache-2.0" ]

null

import mmwave as mm from mmwave.dataloader import DCA1000 dca = DCA1000() adc_data = dca.read() radar_cube = mm.dsp.range_processing(adc_data)

24

46

0.784722

23

144

4.73913

0.695652

0.12844

0

0.063492

0.125

144

6

46

24

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0

1

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false

0

0.4

0

0.4

0

1

0

null

0

1

0

null

0

1

0

3

08cc107468177099a1c1a6db7c38f10f30366004

151

py

Python

banditpylib/learners/ordinary_fcbai_learner/__init__.py

XiGYmax/banditpylib

07698a1c6b17720a8199dea76580546fe3dfb9be

[ "MIT" ]

null

banditpylib/learners/ordinary_fcbai_learner/__init__.py

XiGYmax/banditpylib

07698a1c6b17720a8199dea76580546fe3dfb9be

[ "MIT" ]

null

banditpylib/learners/ordinary_fcbai_learner/__init__.py

XiGYmax/banditpylib

07698a1c6b17720a8199dea76580546fe3dfb9be

[ "MIT" ]

null

from .utils import * from .exp_gap import * from .lilucb_heur import * __all__ = [ 'OrdinaryFCBAILearner', 'ExpGap', 'LilUCBHeuristic' ]

13.727273

27

0.668874

15

151

6.333333

0.733333

0.210526

0

0.218543

151

10

28

15.1

0.805085

0

0.271523

0

1

0

false

0

0.375

0

0.375

0

1

0

null

1

0

null

0

1

0

3

08f825646e1d1ef0b62e6018f093b3692876fa32

323

py

Python

timely_beliefs/tests/test_utils.py

SeitaBV/timely-beliefs

145ae53449393d27c140645fe4c289f4624cc77b

[ "MIT" ]

12

2018-12-20T21:42:21.000Z

2022-01-06T18:31:53.000Z

timely_beliefs/tests/test_utils.py

SeitaBV/timely-beliefs

145ae53449393d27c140645fe4c289f4624cc77b

[ "MIT" ]

51

2019-03-26T12:28:17.000Z

2022-01-21T22:50:13.000Z

timely_beliefs/tests/test_utils.py

SeitaBV/timely-beliefs

145ae53449393d27c140645fe4c289f4624cc77b

[ "MIT" ]

5

2019-06-03T14:38:07.000Z

2019-10-28T21:10:35.000Z

from timely_beliefs.utils import remove_class_init_kwargs def test_remove_used_kwargs(): class MyCls: def __init__(self, a, b): pass kwargs = dict(a=1, b=2, c=3, d=4, self=5) remaining_kwargs = remove_class_init_kwargs(MyCls, kwargs) assert remaining_kwargs == dict(c=3, d=4, self=5)

26.916667

62

0.678019

52

323

3.903846

0.519231

0.108374

0.147783

0.206897

0.08867

0

0.031496

0.213622

323

11

63

29.363636

0.767717

0

0.125

1

0.25

false

0.125

0

0.5

0

null

0

1

0

null

0

1

0

1

0

3

3ea92169e2326eac3ecc254d456606b9569818b0

378

py

Python

old/music0/CountIter.py

InnovAnon-Inc/HafrenHaver

5283ae3817c500f2365d1c8108dd3270aceb28fa

[ "Unlicense" ]

2

2020-11-09T19:30:26.000Z

2020-12-29T21:38:40.000Z

old/music0/CountIter.py

InnovAnon-Inc/HafrenHaver

5283ae3817c500f2365d1c8108dd3270aceb28fa

[ "Unlicense" ]

null

old/music0/CountIter.py

InnovAnon-Inc/HafrenHaver

5283ae3817c500f2365d1c8108dd3270aceb28fa

[ "Unlicense" ]

null

from __future__ import division class CountIter: def __init__ (self, bjork): #self.bjork = cycle (bjork) self.bjork = bjork.sequence.__iter__ () self.length = sum (bjork.sequence) def __len__ (self): return self.length def __iter__ (self): return self def next (self): count = 1 while True: bj = self.bjork.next () if bj is 1: return count count += 1

22.235294

41

0.679894

54

378

4.388889

0.462963

0.151899

0.118143

0

0.010067

0.21164

378

17

42

22.235294

0.785235

0.068783

0

1

0.266667

false

0

0.066667

0.133333

0.533333

0

null

0

null

0

1

0

1

0

3

3eb99d1c6f029b26cdd18b5fe89b3bef3e3ad690

262

py

Python

scripts/portal/aranTutorGuide2.py

Snewmy/swordie

ae01ed4ec0eb20a18730e8cd209eea0b84a8dd17

[ "MIT" ]

2

2020-04-15T03:16:07.000Z

2020-08-12T23:28:32.000Z

scripts/portal/aranTutorGuide2.py

Snewmy/swordie

ae01ed4ec0eb20a18730e8cd209eea0b84a8dd17

[ "MIT" ]

null

scripts/portal/aranTutorGuide2.py

Snewmy/swordie

ae01ed4ec0eb20a18730e8cd209eea0b84a8dd17

[ "MIT" ]

3

2020-08-25T06:55:25.000Z

2020-12-01T13:07:43.000Z

# 914000220 if not "cmd=o" in sm.getQRValue(21002): sm.showFieldEffect("aran/tutorialGuide3") sm.systemMessage("You can use a Command Attack by pressing both the arrow key and the attack key after a Consecutive Attack.") sm.addQRValue(21002, "cmd=o")

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0.740458

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262

4.85

0.725

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0.156489

262

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131

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0.25

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null

0

1

0

1

0

null

0

1

0

3

3ee2c90fe7e83796bdf182cecd8f3026177ffb41

741

py

Python

gadget/journal/entry/metadata/bracket.py

rlnsanz/inspectional-rara-parakeet

2c7919ed432616ec016a5afcd6718d16fa65e8af

[ "Apache-2.0" ]

114

2018-04-18T16:43:11.000Z

2022-02-21T20:28:22.000Z

gadget/journal/entry/metadata/bracket.py

rlnsanz/inspectional-rara-parakeet

2c7919ed432616ec016a5afcd6718d16fa65e8af

[ "Apache-2.0" ]

72

2018-06-28T18:12:11.000Z

2022-02-16T05:27:44.000Z

flor/journal/entry/metadata/bracket.py

vishalbelsare/flor

bb06f7ba019a55802e9ad95f09d4afe68ea514f0

[ "Apache-2.0" ]

19

2018-04-26T05:30:24.000Z

2021-12-16T02:20:28.000Z

from ..constants import * from .abstract import Metadata VALID_BRACKETS = (LBRACKET, RBRACKET) class Bracket(Metadata): def __init__(self, sk, gk, meta, predicate=None, timestamp=None): assert meta in VALID_BRACKETS super().__init__(sk, gk, meta) self.predicate = predicate self.timestamp = timestamp def is_left(self): return self.meta == LBRACKET def is_right(self): return self.meta == RBRACKET @staticmethod def is_superclass(json_dict: dict): return METADATA in json_dict and json_dict[METADATA] in VALID_BRACKETS @classmethod def cons(cls, json_dict: dict): return cls(json_dict[STATIC_KEY], json_dict[GLOBAL_KEY], json_dict[METADATA])

27.444444

85

0.68556

95

741

5.105263

0.4

0.115464

0.03299

0.074227

0

0.224022

741

26

86

28.5

0.843478

0

0.052632

1

0.263158

false

0

0.105263

0.210526

0.631579

0

null

0

null

0

1

0

1

0

3

3eedf99191115048d2c36c7b3ae05dfaf8efb2cd

164

py

Python

list.py

ghandres/pythonworld

c30d3f411c9705384d557d5fd2c40e4e1fd00833

[ "Apache-2.0" ]

null

list.py

ghandres/pythonworld

c30d3f411c9705384d557d5fd2c40e4e1fd00833

[ "Apache-2.0" ]

1

2021-03-05T22:29:47.000Z

2021-03-05T22:31:02.000Z

list.py

ghandres/pythonworld

c30d3f411c9705384d557d5fd2c40e4e1fd00833

[ "Apache-2.0" ]

null

import requests import json response = requests.get("https://swapi.dev/api/people") json_data = json.loads(response.text) print (json.dumps(json_data,indent=4))

18.222222

55

0.762195

25

164

4.92

0.68

0.130081

0

0.006711

0.091463

164

8

56

20.5

0.818792

0

0.170732

0

1

0

false

0

0.4

0

0.4

0.2

1

0

null

0

1

0

null

0

1

0

3

3efc3b1913b3401c817cd2fb6688957f8c21f20e

1,051

py

Python

tests/test_numeric.py

freywaid/dotted

7781eec26a0169dc8b3e098cc2c79fbd38eb5f97

[ "MIT" ]

2

2020-05-05T18:15:22.000Z

2021-03-24T09:03:24.000Z

tests/test_numeric.py

freywaid/dotted

7781eec26a0169dc8b3e098cc2c79fbd38eb5f97

[ "MIT" ]

null

tests/test_numeric.py

freywaid/dotted

7781eec26a0169dc8b3e098cc2c79fbd38eb5f97

[ "MIT" ]

null

import dotted def test_numeric_get_key(): T = {111: {'stuff': 'hi'}} m = dotted.get(T, '111.stuff') assert m == 'hi' m = dotted.get(T, '111.0.stuff') assert m != 'hi' # 111.0 == 111 m = dotted.get(T, '#"111.0".stuff') assert m == 'hi' def test_numeric_get_slot(): T = {111: {'stuff': 'hi'}} m = dotted.get(T, '[111].stuff') assert m == 'hi' # 111.0 == 111 m = dotted.get(T, '[111.0].stuff') assert m == 'hi' # 111.0 == 111 m = dotted.get(T, '[#"111.0"].stuff') assert m == 'hi' def test_numeric_expand_int(): T = {111: {'stuff': 'hi'}} m = dotted.expand(T, '*.*') assert m == ('111.stuff',) m = dotted.expand(T, '[*].*') assert m == ('[111].stuff',) def test_numeric_expand_float(): T = {111.0: {'stuff': 'hi'}} m = dotted.expand(T, '*.*') assert m == ("#'111.0'.stuff",) m = dotted.expand(T, '[*].*') assert m == ('[111.0].stuff',) def test_numeric_update(): m = dotted.update({}, '07a', 8) assert m == {'07a': 8}

18.767857

41

0.493815

153

1,051

3.300654

0.137255

0.152475

0.124752

0.130693

0.750495

0.742574

0.675248

0.481188

0

0.097311

0.256898

1,051

55

42

19.109091

0.549296

0.036156

0

0.375

0

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0

0.34375

1

0.15625

false

0

0.03125

0

0.1875

0

null

0

1

0

null

0

3

41057ee692574e63a15d94641e6dd693e6d4d271

302

py

Python

src/frameworks_and_drivers/blueprints/registereds_blueprints.py

diododias/flask-boilerplate

1cdcee5b11f63e5ce3017d0c64ac76f69bf7df34

[ "MIT" ]

null

src/frameworks_and_drivers/blueprints/registereds_blueprints.py

diododias/flask-boilerplate

1cdcee5b11f63e5ce3017d0c64ac76f69bf7df34

[ "MIT" ]

null

src/frameworks_and_drivers/blueprints/registereds_blueprints.py

diododias/flask-boilerplate

1cdcee5b11f63e5ce3017d0c64ac76f69bf7df34

[ "MIT" ]

null

""" Append new blueprints """ from src.frameworks_and_drivers.blueprints.auth_blueprint import auth_blueprint from src.frameworks_and_drivers.blueprints.index_blueprint import index_blueprint blueprints_store = list() blueprints_store.append(auth_blueprint) blueprints_store.append(index_blueprint)

25.166667

81

0.860927

38

302

6.5

0.368421

0.157895

0.137652

0.161943

0.299595

0

0.069536

302

11

82

27.454545

0.879004

0.069536

0

1

0

false

0

0.4

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0.4

1

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null

0

1

0

null

0

1

0

1

0

3

f5ade3bb96c68536d05bfd3bd6bcc7f238fcb949

130

py

Python

python/many_vars.py

robotlightsyou/test

015f13943fc402d8ce86c5f6d2f5a7d032b3340a

[ "MIT" ]

2

2019-05-26T15:09:34.000Z

2021-09-12T08:01:23.000Z

python/many_vars.py

robotlightsyou/test

015f13943fc402d8ce86c5f6d2f5a7d032b3340a

[ "MIT" ]

null

python/many_vars.py

robotlightsyou/test

015f13943fc402d8ce86c5f6d2f5a7d032b3340a

[ "MIT" ]

1

2021-04-11T20:28:21.000Z

import dis exec(""" def f(): """ + """ """.join(["X"+str(x)+"=" + str(x) for x in range(65539)])) f() print(dis.dis(f))

13

62

0.453846

21

130

2.809524

0.619048

0.135593

0.169492

0

0.048544

0.207692

130

9

63

14.444444

0.524272

0

0.161538

0

1

0

true

0

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0.142857

1

0

null

0

1

0

null

0

1

0

3