hexsha string | size int64 | ext string | lang string | max_stars_repo_path string | max_stars_repo_name string | max_stars_repo_head_hexsha string | max_stars_repo_licenses list | max_stars_count int64 | max_stars_repo_stars_event_min_datetime string | max_stars_repo_stars_event_max_datetime string | max_issues_repo_path string | max_issues_repo_name string | max_issues_repo_head_hexsha string | max_issues_repo_licenses list | max_issues_count int64 | max_issues_repo_issues_event_min_datetime string | max_issues_repo_issues_event_max_datetime string | max_forks_repo_path string | max_forks_repo_name string | max_forks_repo_head_hexsha string | max_forks_repo_licenses list | max_forks_count int64 | max_forks_repo_forks_event_min_datetime string | max_forks_repo_forks_event_max_datetime string | content string | avg_line_length float64 | max_line_length int64 | alphanum_fraction float64 | qsc_code_num_words_quality_signal int64 | qsc_code_num_chars_quality_signal float64 | qsc_code_mean_word_length_quality_signal float64 | qsc_code_frac_words_unique_quality_signal float64 | qsc_code_frac_chars_top_2grams_quality_signal float64 | qsc_code_frac_chars_top_3grams_quality_signal float64 | qsc_code_frac_chars_top_4grams_quality_signal float64 | qsc_code_frac_chars_dupe_5grams_quality_signal float64 | qsc_code_frac_chars_dupe_6grams_quality_signal float64 | qsc_code_frac_chars_dupe_7grams_quality_signal float64 | qsc_code_frac_chars_dupe_8grams_quality_signal float64 | qsc_code_frac_chars_dupe_9grams_quality_signal float64 | qsc_code_frac_chars_dupe_10grams_quality_signal float64 | qsc_code_frac_chars_replacement_symbols_quality_signal float64 | qsc_code_frac_chars_digital_quality_signal float64 | qsc_code_frac_chars_whitespace_quality_signal float64 | qsc_code_size_file_byte_quality_signal float64 | qsc_code_num_lines_quality_signal float64 | qsc_code_num_chars_line_max_quality_signal float64 | qsc_code_num_chars_line_mean_quality_signal float64 | qsc_code_frac_chars_alphabet_quality_signal float64 | qsc_code_frac_chars_comments_quality_signal float64 | qsc_code_cate_xml_start_quality_signal float64 | qsc_code_frac_lines_dupe_lines_quality_signal float64 | qsc_code_cate_autogen_quality_signal float64 | qsc_code_frac_lines_long_string_quality_signal float64 | qsc_code_frac_chars_string_length_quality_signal float64 | qsc_code_frac_chars_long_word_length_quality_signal float64 | qsc_code_frac_lines_string_concat_quality_signal float64 | qsc_code_cate_encoded_data_quality_signal float64 | qsc_code_frac_chars_hex_words_quality_signal float64 | qsc_code_frac_lines_prompt_comments_quality_signal float64 | qsc_code_frac_lines_assert_quality_signal float64 | qsc_codepython_cate_ast_quality_signal float64 | qsc_codepython_frac_lines_func_ratio_quality_signal float64 | qsc_codepython_cate_var_zero_quality_signal bool | qsc_codepython_frac_lines_pass_quality_signal float64 | qsc_codepython_frac_lines_import_quality_signal float64 | qsc_codepython_frac_lines_simplefunc_quality_signal float64 | qsc_codepython_score_lines_no_logic_quality_signal float64 | qsc_codepython_frac_lines_print_quality_signal float64 | qsc_code_num_words int64 | qsc_code_num_chars int64 | qsc_code_mean_word_length int64 | qsc_code_frac_words_unique null | qsc_code_frac_chars_top_2grams int64 | qsc_code_frac_chars_top_3grams int64 | qsc_code_frac_chars_top_4grams int64 | qsc_code_frac_chars_dupe_5grams int64 | qsc_code_frac_chars_dupe_6grams int64 | qsc_code_frac_chars_dupe_7grams int64 | qsc_code_frac_chars_dupe_8grams int64 | qsc_code_frac_chars_dupe_9grams int64 | qsc_code_frac_chars_dupe_10grams int64 | qsc_code_frac_chars_replacement_symbols int64 | qsc_code_frac_chars_digital int64 | qsc_code_frac_chars_whitespace int64 | qsc_code_size_file_byte int64 | qsc_code_num_lines int64 | qsc_code_num_chars_line_max int64 | qsc_code_num_chars_line_mean int64 | qsc_code_frac_chars_alphabet int64 | qsc_code_frac_chars_comments int64 | qsc_code_cate_xml_start int64 | qsc_code_frac_lines_dupe_lines int64 | qsc_code_cate_autogen int64 | qsc_code_frac_lines_long_string int64 | qsc_code_frac_chars_string_length int64 | qsc_code_frac_chars_long_word_length int64 | qsc_code_frac_lines_string_concat null | qsc_code_cate_encoded_data int64 | qsc_code_frac_chars_hex_words int64 | qsc_code_frac_lines_prompt_comments int64 | qsc_code_frac_lines_assert int64 | qsc_codepython_cate_ast int64 | qsc_codepython_frac_lines_func_ratio int64 | qsc_codepython_cate_var_zero int64 | qsc_codepython_frac_lines_pass int64 | qsc_codepython_frac_lines_import int64 | qsc_codepython_frac_lines_simplefunc int64 | qsc_codepython_score_lines_no_logic int64 | qsc_codepython_frac_lines_print int64 | effective string | hits int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
5d9d805947d8a51696ef7b80512550936228f6f6 | 990 | py | Python | Zile.fpoo/arquivos python/zexercicios normais/peixaria.py | viniciuszile/python-codes | b5c9e18d9976329ee6c952670de2b516ffeaca23 | [
"MIT"
] | 4 | 2021-10-29T23:48:37.000Z | 2022-02-21T18:21:29.000Z | Zile.fpoo/arquivos python/zexercicios normais/peixaria.py | viniciuszile/python-codes | b5c9e18d9976329ee6c952670de2b516ffeaca23 | [
"MIT"
] | null | null | null | Zile.fpoo/arquivos python/zexercicios normais/peixaria.py | viniciuszile/python-codes | b5c9e18d9976329ee6c952670de2b516ffeaca23 | [
"MIT"
] | null | null | null | print ("-"*90)
print ("para continuar informe um numero positivio")
print ("para sair informe um numero negativo")
x = int (input(":"))
print ("-"*90)
while (x > 0):
exesso = 50
peso = float (input("escreva quantos KG de peixes voce trouxe :"))
if (peso > 50):
exesso = (peso - exesso)
multa = exesso * 40
print ("o total de KG em exesso é :",exesso)
print ("A multa que devera ser paga é:",multa)
print ("-"*90)
print ("para continuar informe um numero positivio")
print ("para sair informe um numero negativo")
x = int (input("-"))
print ("-"*90)
elif (peso <= 50):
print ("o total de KG em exesso é :",exesso)
print ("Nao havera multa ")
print ("-"*90)
print ("para continuar informe um numero positivio")
print ("para sair informe um numero negativo")
x = int (input(":"))
print ("-"*90)
| 31.935484 | 71 | 0.530303 | 121 | 990 | 4.338843 | 0.338843 | 0.08 | 0.171429 | 0.091429 | 0.729524 | 0.729524 | 0.729524 | 0.729524 | 0.729524 | 0.729524 | 0 | 0.031866 | 0.334343 | 990 | 31 | 72 | 31.935484 | 0.764795 | 0 | 0 | 0.615385 | 0 | 0 | 0.401665 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.615385 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 |
f8f3d1e735b646d173455ff9ac40f5bf5b634dcb | 7,437 | py | Python | tests/flow/test_path.py | ushachar/RedisGraph | b14b7a5afd1d5ab8c964a9c3da5e322a2b7d694d | [
"Ruby",
"ISC",
"MIT"
] | null | null | null | tests/flow/test_path.py | ushachar/RedisGraph | b14b7a5afd1d5ab8c964a9c3da5e322a2b7d694d | [
"Ruby",
"ISC",
"MIT"
] | null | null | null | tests/flow/test_path.py | ushachar/RedisGraph | b14b7a5afd1d5ab8c964a9c3da5e322a2b7d694d | [
"Ruby",
"ISC",
"MIT"
] | null | null | null | import os
import sys
from redisgraph import Graph, Node, Edge, Path
from collections import Counter
sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
from base import FlowTestsBase
sys.path.append(os.path.dirname(os.path.abspath(__file__)) + '/../../')
from demo import QueryInfo
GRAPH_ID = "G"
redis_graph = None
class testPath(FlowTestsBase):
def __init__(self):
super(testPath, self).__init__()
global redis_graph
redis_con = self.env.getConnection()
redis_graph = Graph(GRAPH_ID, redis_con)
def path_to_string(self, path):
str_path = ", ".join([str(obj) for obj in path])
return str_path
def setUp(self):
self.env.flush()
def test_simple_path(self):
node0 = Node(node_id=0, label="L1")
node1 = Node(node_id=1, label="L1")
node2 = Node(node_id=2, label="L1")
edge01 = Edge(node0, "R1", node1, edge_id=0, properties={'value': 1})
edge12 = Edge(node1, "R1", node2, edge_id=1, properties={'value': 2})
redis_graph.add_node(node0)
redis_graph.add_node(node1)
redis_graph.add_node(node2)
redis_graph.add_edge(edge01)
redis_graph.add_edge(edge12)
redis_graph.flush()
path01 = Path.new_empty_path().add_node(node0).add_edge(edge01).add_node(node1)
path12 = Path.new_empty_path().add_node(node1).add_edge(edge12).add_node(node2)
expected_results = [[path01], [path12]]
query = "MATCH p=(:L1)-[:R1]->(:L1) RETURN p"
query_info = QueryInfo(query = query, description="Tests simple paths", expected_result = expected_results)
self._assert_resultset_and_expected_mutually_included(redis_graph.query(query), query_info)
def test_variable_length_path(self):
node0 = Node(node_id=0, label="L1")
node1 = Node(node_id=1, label="L1")
node2 = Node(node_id=2, label="L1")
edge01 = Edge(node0, "R1", node1, edge_id=0, properties={'value': 1})
edge12 = Edge(node1, "R1", node2, edge_id=1, properties={'value': 2})
redis_graph.add_node(node0)
redis_graph.add_node(node1)
redis_graph.add_node(node2)
redis_graph.add_edge(edge01)
redis_graph.add_edge(edge12)
redis_graph.flush()
path01 = Path.new_empty_path().add_node(node0).add_edge(edge01).add_node(node1)
path12 = Path.new_empty_path().add_node(node1).add_edge(edge12).add_node(node2)
path02 = Path.new_empty_path().add_node(node0).add_edge(edge01).add_node(node1).add_edge(edge12).add_node(node2)
expected_results=[[path01], [path12], [path02]]
query = "MATCH p=(:L1)-[:R1*]->(:L1) RETURN p"
query_info = QueryInfo(query = query, description="Tests variable length paths", expected_result = expected_results)
self._assert_resultset_and_expected_mutually_included(redis_graph.query(query), query_info)
def test_bi_directional_path(self):
node0 = Node(node_id=0, label="L1")
node1 = Node(node_id=1, label="L1")
node2 = Node(node_id=2, label="L1")
edge01 = Edge(node0, "R1", node1, edge_id=0, properties={'value': 1})
edge12 = Edge(node1, "R1", node2, edge_id=1, properties={'value': 2})
redis_graph.add_node(node0)
redis_graph.add_node(node1)
redis_graph.add_node(node2)
redis_graph.add_edge(edge01)
redis_graph.add_edge(edge12)
redis_graph.flush()
# Reverse direction edges which are not part of the graph. Read only values.
edge10 = Edge(1, "R1", 0, edge_id = 0 , properties={'value':1})
edge21 = Edge(2, "R1", 1, edge_id = 1 , properties={'value':2})
path010 = Path.new_empty_path().add_node(node0).add_edge(edge01).add_node(node1).add_edge(edge10).add_node(node0)
path0121 = Path.new_empty_path().add_node(node0).add_edge(edge01).add_node(node1).add_edge(edge12) \
.add_node(node2).add_edge(edge21).add_node(node1)
path01210 = Path.new_empty_path().add_node(node0).add_edge(edge01).add_node(node1).add_edge(edge12) \
.add_node(node2).add_edge(edge21).add_node(node1).add_edge(edge10).add_node(node0)
path121 = Path.new_empty_path().add_node(node1).add_edge(edge12).add_node(node2).add_edge(edge21).add_node(node1)
path1210 = Path.new_empty_path().add_node(node1).add_edge(edge12).add_node(node2).add_edge(edge21) \
.add_node(node1).add_edge(edge10).add_node(node0)
expected_results=[[path010], [path0121], [path01210], [path121], [path1210]]
query = "MATCH p=(:L1)-[:R1*]->(:L1)<-[:R1*]-() RETURN p"
query_info = QueryInfo(query = query, description="Tests bi directional variable length paths", \
expected_result = expected_results)
self._assert_resultset_and_expected_mutually_included(redis_graph.query(query), query_info)
def test_bi_directional_path_functions(self):
node0 = Node(node_id=0, label="L1")
node1 = Node(node_id=1, label="L1")
node2 = Node(node_id=2, label="L1")
edge01 = Edge(node0, "R1", node1, edge_id=0, properties={'value': 1})
edge12 = Edge(node1, "R1", node2, edge_id=1, properties={'value': 2})
redis_graph.add_node(node0)
redis_graph.add_node(node1)
redis_graph.add_node(node2)
redis_graph.add_edge(edge01)
redis_graph.add_edge(edge12)
redis_graph.flush()
# Reverse direction edges which are not part of the graph. Read only values.
edge10 = Edge(1, "R1", 0, edge_id = 0 , properties={'value':1})
edge21 = Edge(2, "R1", 1, edge_id = 1 , properties={'value':2})
expected_results=[[[node0, node1, node0], [edge01, edge10], 2],
[[node0, node1, node2, node1], [edge01, edge12, edge21], 3],
[[node0, node1, node2, node1, node0], [edge01, edge12, edge21, edge10], 4],
[[node1, node2, node1], [edge12, edge21], 2],
[[node1, node2, node1, node0], [edge12, edge21, edge10], 3]]
query = "MATCH p=(:L1)-[:R1*]->(:L1)<-[:R1*]-() RETURN nodes(p), relationships(p), length(p)"
query_info = QueryInfo(query = query, description="Tests path functions over bi directional variable length paths", \
expected_result = expected_results)
self._assert_resultset_and_expected_mutually_included(redis_graph.query(query), query_info)
def test_zero_length_path(self):
node0 = Node(node_id=0, label="L1")
node1 = Node(node_id=1, label="L2")
edge01 = Edge(node0, "R1", node1, edge_id=0, properties={'value': 1})
redis_graph.add_node(node0)
redis_graph.add_node(node1)
redis_graph.add_edge(edge01)
redis_graph.flush()
path01 = Path.new_empty_path().add_node(node0).add_edge(edge01).add_node(node1)
expected_results=[[path01]]
query = "MATCH p=(:L1)-[*0..]->()-[]->(:L2) RETURN p"
query_info = QueryInfo(query = query, description="Tests path with zero length variable length paths", \
expected_result = expected_results)
self._assert_resultset_and_expected_mutually_included(redis_graph.query(query), query_info)
| 45.907407 | 125 | 0.634261 | 990 | 7,437 | 4.507071 | 0.112121 | 0.072165 | 0.06701 | 0.053339 | 0.808158 | 0.799641 | 0.799641 | 0.7974 | 0.787539 | 0.748767 | 0 | 0.064303 | 0.226301 | 7,437 | 161 | 126 | 46.192547 | 0.711157 | 0.020035 | 0 | 0.54918 | 0 | 0.008197 | 0.078655 | 0.015511 | 0 | 0 | 0 | 0 | 0.040984 | 1 | 0.065574 | false | 0 | 0.04918 | 0 | 0.131148 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
5d30ecce492e72b53e0b97a7569a5adb88356c4b | 179 | py | Python | model/disaster_images.py | catskillsresearch/xview2-catskills | 5671cff323c8121c0ae251e360e454a1e8568f58 | [
"BSD-3-Clause"
] | null | null | null | model/disaster_images.py | catskillsresearch/xview2-catskills | 5671cff323c8121c0ae251e360e454a1e8568f58 | [
"BSD-3-Clause"
] | null | null | null | model/disaster_images.py | catskillsresearch/xview2-catskills | 5671cff323c8121c0ae251e360e454a1e8568f58 | [
"BSD-3-Clause"
] | null | null | null | import glob
def disaster_images():
return glob.glob('/home/catskills/Desktop/dataxv2/xBD/*/images/*_post_*.png')
if __name__=="__main__":
print(disaster_images()[0:10])
| 22.375 | 81 | 0.715084 | 24 | 179 | 4.833333 | 0.791667 | 0.241379 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025 | 0.106145 | 179 | 7 | 82 | 25.571429 | 0.7 | 0 | 0 | 0 | 0 | 0 | 0.363128 | 0.318436 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | true | 0 | 0.2 | 0.2 | 0.6 | 0.2 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
5d58591a9464b1f852f56a7916889b74d9591dee | 15,781 | py | Python | pyscf/pbc/scf/test/test_addons.py | fdmalone/pyscf | 021b17ac721e292b277d2b740e2ff8ab38bb6a4a | [
"Apache-2.0"
] | null | null | null | pyscf/pbc/scf/test/test_addons.py | fdmalone/pyscf | 021b17ac721e292b277d2b740e2ff8ab38bb6a4a | [
"Apache-2.0"
] | null | null | null | pyscf/pbc/scf/test/test_addons.py | fdmalone/pyscf | 021b17ac721e292b277d2b740e2ff8ab38bb6a4a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# Copyright 2014-2018 The PySCF Developers. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Author: Qiming Sun <osirpt.sun@gmail.com>
#
import unittest
import numpy
import pyscf.pbc.gto as pbcgto
import pyscf.pbc.scf as pscf
cell = pbcgto.Cell()
cell.atom = '''
He 0 0 1
He 1 0 1
'''
cell.basis = [[0, [1., 1.]], [0, [0.5, 1]]]
cell.a = numpy.eye(3) * 3
cell.mesh = [10] * 3
cell.verbose = 5
cell.output = '/dev/null'
cell.build()
nao = cell.nao_nr()
kpts = cell.make_kpts([2,1,1])
kmf_ro = pscf.KROHF(cell, kpts=kpts).run()
kmf_r = pscf.KRHF(cell, kpts=kpts).convert_from_(kmf_ro)
kmf_u = pscf.addons.convert_to_uhf(kmf_r)
kmf_g = pscf.addons.convert_to_ghf(kmf_r)
def tearDownModule():
global cell, kmf_ro, kmf_r, kmf_u, kmf_g
cell.stdout.close()
del cell, kmf_ro, kmf_r, kmf_u, kmf_g
class KnowValues(unittest.TestCase):
def test_krhf_smearing(self):
mf = pscf.KRHF(cell, cell.make_kpts([2,1,1]))
nkpts = len(mf.kpts)
pscf.addons.smearing_(mf, 0.1, 'fermi')
mo_energy_kpts = numpy.array([numpy.arange(nao)*.2+numpy.cos(i+.5)*.1
for i in range(nkpts)])
occ = mf.get_occ(mo_energy_kpts)
self.assertAlmostEqual(mf.entropy, 6.1656394960533021/2, 9)
mf.smearing_method = 'gauss'
occ = mf.get_occ(mo_energy_kpts)
self.assertAlmostEqual(mf.entropy, 0.94924016074521311/2, 9)
mf.kernel()
self.assertAlmostEqual(mf.entropy, 0, 15)
def test_kuhf_smearing(self):
mf = pscf.KUHF(cell, cell.make_kpts([2,1,1]))
nkpts = len(mf.kpts)
pscf.addons.smearing_(mf, 0.1, 'fermi')
mo_energy_kpts = numpy.array([numpy.arange(nao)*.2+numpy.cos(i+.5)*.1
for i in range(nkpts)])
mo_energy_kpts = numpy.array([mo_energy_kpts,
mo_energy_kpts+numpy.cos(mo_energy_kpts)*.02])
occ = mf.get_occ(mo_energy_kpts)
self.assertAlmostEqual(mf.entropy, 6.1803390081500869/2, 9)
mf.smearing_method = 'gauss'
occ = mf.get_occ(mo_energy_kpts)
self.assertAlmostEqual(mf.entropy, 0.9554526863670467/2, 9)
def test_rhf_smearing(self):
mf = pscf.RHF(cell)
pscf.addons.smearing_(mf, 0.1, 'fermi')
mo_energy = numpy.arange(nao)*.2+numpy.cos(.5)*.1
mf.get_occ(mo_energy)
self.assertAlmostEqual(mf.entropy, 3.0922723199786408, 9)
mf.smearing_method = 'gauss'
occ = mf.get_occ(mo_energy)
self.assertAlmostEqual(mf.entropy, 0.4152467504725415, 9)
mf.kernel()
self.assertAlmostEqual(mf.entropy, 0, 15)
def test_uhf_smearing(self):
mf = pscf.UHF(cell)
pscf.addons.smearing_(mf, 0.1, 'fermi')
mo_energy = numpy.arange(nao)*.2+numpy.cos(.5)*.1
mo_energy = numpy.array([mo_energy, mo_energy+numpy.cos(mo_energy)*.02])
mf.get_occ(mo_energy)
self.assertAlmostEqual(mf.entropy, 3.1007387905421022, 9)
mf.smearing_method = 'gauss'
occ = mf.get_occ(mo_energy)
self.assertAlmostEqual(mf.entropy, 0.42189309944541731, 9)
def test_project_mo_nr2nr(self):
nao = cell.nao_nr()
kpts = cell.make_kpts([3,1,1])
nkpts = 3
c = numpy.random.random((3,nao,nao)) + numpy.random.random((3,nao,nao)) * 1j
c1 = pscf.addons.project_mo_nr2nr(cell, c[0], cell)
self.assertAlmostEqual(abs(c[0]-c1).max(), 0, 12)
c1 = numpy.array(pscf.addons.project_mo_nr2nr(cell, c, cell, kpts=kpts))
self.assertAlmostEqual(abs(c-c1).max(), 0, 12)
def test_convert_to_scf(self):
from pyscf.pbc import dft
from pyscf.pbc import df
from pyscf.soscf import newton_ah
cell1 = cell.copy()
cell1.verbose = 0
pscf.addons.convert_to_rhf(dft.RKS(cell1))
pscf.addons.convert_to_uhf(dft.RKS(cell1))
#pscf.addons.convert_to_ghf(dft.RKS(cell1))
pscf.addons.convert_to_rhf(dft.UKS(cell1))
pscf.addons.convert_to_uhf(dft.UKS(cell1))
#pscf.addons.convert_to_ghf(dft.UKS(cell1))
#pscf.addons.convert_to_rhf(dft.GKS(cell1))
#pscf.addons.convert_to_uhf(dft.GKS(cell1))
#pscf.addons.convert_to_ghf(dft.GKS(cell1))
pscf.addons.convert_to_rhf(pscf.RHF(cell1).density_fit())
pscf.addons.convert_to_uhf(pscf.RHF(cell1).density_fit())
pscf.addons.convert_to_ghf(pscf.RHF(cell1).density_fit())
pscf.addons.convert_to_rhf(pscf.ROHF(cell1).density_fit())
pscf.addons.convert_to_uhf(pscf.ROHF(cell1).density_fit())
pscf.addons.convert_to_ghf(pscf.ROHF(cell1).density_fit())
pscf.addons.convert_to_rhf(pscf.UHF(cell1).density_fit())
pscf.addons.convert_to_uhf(pscf.UHF(cell1).density_fit())
pscf.addons.convert_to_ghf(pscf.UHF(cell1).density_fit())
#pscf.addons.convert_to_rhf(pscf.GHF(cell1).density_fit())
#pscf.addons.convert_to_uhf(pscf.GHF(cell1).density_fit())
pscf.addons.convert_to_ghf(pscf.GHF(cell1).density_fit())
pscf.addons.convert_to_rhf(pscf.RHF(cell1).x2c().density_fit())
pscf.addons.convert_to_uhf(pscf.RHF(cell1).x2c().density_fit())
pscf.addons.convert_to_ghf(pscf.RHF(cell1).x2c().density_fit())
pscf.addons.convert_to_rhf(pscf.ROHF(cell1).x2c().density_fit())
pscf.addons.convert_to_uhf(pscf.ROHF(cell1).x2c().density_fit())
pscf.addons.convert_to_ghf(pscf.ROHF(cell1).x2c().density_fit())
pscf.addons.convert_to_rhf(pscf.UHF(cell1).x2c().density_fit())
pscf.addons.convert_to_uhf(pscf.UHF(cell1).x2c().density_fit())
pscf.addons.convert_to_ghf(pscf.UHF(cell1).x2c().density_fit())
#pscf.addons.convert_to_rhf(pscf.GHF(cell1).x2c().density_fit())
#pscf.addons.convert_to_uhf(pscf.GHF(cell1).x2c().density_fit())
pscf.addons.convert_to_ghf(pscf.GHF(cell1).x2c().density_fit())
self.assertTrue (isinstance(pscf.addons.convert_to_rhf(pscf.RHF(cell1).newton().density_fit().x2c()), newton_ah._CIAH_SOSCF))
self.assertFalse(isinstance(pscf.addons.convert_to_uhf(pscf.RHF(cell1).newton().density_fit().x2c()), newton_ah._CIAH_SOSCF))
self.assertFalse(isinstance(pscf.addons.convert_to_ghf(pscf.RHF(cell1).newton().density_fit().x2c()), newton_ah._CIAH_SOSCF))
self.assertFalse(isinstance(pscf.addons.convert_to_rhf(pscf.UHF(cell1).newton().density_fit().x2c()), newton_ah._CIAH_SOSCF))
self.assertTrue (isinstance(pscf.addons.convert_to_uhf(pscf.UHF(cell1).newton().density_fit().x2c()), newton_ah._CIAH_SOSCF))
self.assertFalse(isinstance(pscf.addons.convert_to_ghf(pscf.UHF(cell1).newton().density_fit().x2c()), newton_ah._CIAH_SOSCF))
#self.assertFalse(isinstance(pscf.addons.convert_to_rhf(pscf.GHF(cell1).newton().density_fit().x2c()), newton_ah._CIAH_SOSCF))
#self.assertFalse(isinstance(pscf.addons.convert_to_uhf(pscf.GHF(cell1).newton().density_fit().x2c()), newton_ah._CIAH_SOSCF))
self.assertTrue (isinstance(pscf.addons.convert_to_ghf(pscf.GHF(cell1).newton().density_fit().x2c()), newton_ah._CIAH_SOSCF))
mf1 = pscf.rhf.RHF(cell1)
cell2 = cell1.copy()
cell2.spin = 2
self.assertTrue (isinstance(mf1.convert_from_(pscf.UHF(cell1)), pscf.hf.RHF))
self.assertTrue (isinstance(mf1.convert_from_(pscf.UHF(cell2)), pscf.hf.RHF))
self.assertFalse(isinstance(mf1.convert_from_(pscf.UHF(cell2)), pscf.rohf.ROHF))
self.assertFalse(isinstance(mf1.convert_from_(pscf.UHF(cell1).newton()), newton_ah._CIAH_SOSCF))
self.assertTrue (isinstance(mf1.convert_from_(pscf.UHF(cell2).density_fit()).with_df, df.df.GDF))
self.assertTrue (isinstance(mf1.convert_from_(pscf.UHF(cell2).mix_density_fit()).with_df, df.mdf.MDF))
self.assertFalse(isinstance(mf1.convert_from_(pscf.ROHF(cell2)), pscf.rohf.ROHF))
self.assertRaises(AssertionError, mf1.convert_from_, kmf_u)
mf1 = pscf.rohf.ROHF(cell1)
self.assertTrue (isinstance(mf1.convert_from_(pscf.UHF(cell1)), pscf.rohf.ROHF))
self.assertTrue (isinstance(mf1.convert_from_(pscf.UHF(cell2)), pscf.rohf.ROHF))
self.assertFalse(isinstance(mf1.convert_from_(pscf.UHF(cell1).newton()), newton_ah._CIAH_SOSCF))
self.assertTrue (isinstance(mf1.convert_from_(pscf.UHF(cell2).density_fit()).with_df, df.df.GDF))
self.assertTrue (isinstance(mf1.convert_from_(pscf.UHF(cell2).mix_density_fit()).with_df, df.mdf.MDF))
self.assertTrue (isinstance(mf1.convert_from_(pscf.RHF(cell1)), pscf.rohf.ROHF))
self.assertRaises(AssertionError, mf1.convert_from_, kmf_u)
mf1 = pscf.uhf.UHF(cell1)
self.assertTrue (isinstance(mf1.convert_from_(pscf.RHF(cell1)), pscf.uhf.UHF))
self.assertFalse(isinstance(mf1.convert_from_(pscf.RHF(cell1).newton()), newton_ah._CIAH_SOSCF))
self.assertTrue (isinstance(mf1.convert_from_(pscf.RHF(cell1).density_fit()).with_df, df.df.GDF))
self.assertTrue (isinstance(mf1.convert_from_(pscf.RHF(cell1).mix_density_fit()).with_df, df.mdf.MDF))
self.assertRaises(AssertionError, mf1.convert_from_, kmf_u)
mf1 = pscf.ghf.GHF(cell1)
self.assertTrue (isinstance(mf1.convert_from_(pscf.RHF(cell1)), pscf.ghf.GHF))
self.assertTrue (isinstance(mf1.convert_from_(pscf.UHF(cell1)), pscf.ghf.GHF))
self.assertTrue (isinstance(mf1.convert_from_(pscf.ROHF(cell1)), pscf.ghf.GHF))
self.assertRaises(AssertionError, mf1.convert_from_, kmf_u)
def test_convert_to_kscf(self):
from pyscf.pbc import df
from pyscf.soscf import newton_ah
cell1 = cell.copy()
cell1.verbose = 0
pscf.addons.convert_to_rhf(pscf.KRHF(cell1))
pscf.addons.convert_to_uhf(pscf.KRHF(cell1))
pscf.addons.convert_to_ghf(pscf.KRHF(cell1))
pscf.addons.convert_to_rhf(pscf.KROHF(cell1))
pscf.addons.convert_to_uhf(pscf.KROHF(cell1))
pscf.addons.convert_to_ghf(pscf.KROHF(cell1))
pscf.addons.convert_to_rhf(pscf.KUHF(cell1))
pscf.addons.convert_to_uhf(pscf.KUHF(cell1))
pscf.addons.convert_to_ghf(pscf.KUHF(cell1))
#pscf.addons.convert_to_rhf(pscf.KGHF(cell1))
#pscf.addons.convert_to_uhf(pscf.KGHF(cell1))
pscf.addons.convert_to_ghf(pscf.KGHF(cell1))
self.assertTrue (isinstance(pscf.addons.convert_to_rhf(pscf.KRHF(cell1).newton().density_fit().x2c()), newton_ah._CIAH_SOSCF))
self.assertFalse(isinstance(pscf.addons.convert_to_uhf(pscf.KRHF(cell1).newton().density_fit().x2c()), newton_ah._CIAH_SOSCF))
self.assertFalse(isinstance(pscf.addons.convert_to_ghf(pscf.KRHF(cell1).newton().density_fit().x2c()), newton_ah._CIAH_SOSCF))
self.assertFalse(isinstance(pscf.addons.convert_to_rhf(pscf.KUHF(cell1).newton().density_fit().x2c()), newton_ah._CIAH_SOSCF))
self.assertTrue (isinstance(pscf.addons.convert_to_uhf(pscf.KUHF(cell1).newton().density_fit().x2c()), newton_ah._CIAH_SOSCF))
self.assertFalse(isinstance(pscf.addons.convert_to_ghf(pscf.KUHF(cell1).newton().density_fit().x2c()), newton_ah._CIAH_SOSCF))
#self.assertFalse(isinstance(pscf.addons.convert_to_rhf(pscf.KGHF(cell1).newton().density_fit().x2c()), newton_ah._CIAH_SOSCF))
#self.assertFalse(isinstance(pscf.addons.convert_to_uhf(pscf.KGHF(cell1).newton().density_fit().x2c()), newton_ah._CIAH_SOSCF))
#self.assertTrue (isinstance(pscf.addons.convert_to_ghf(pscf.KGHF(cell1).newton().density_fit().x2c()), newton_ah._CIAH_SOSCF))
mf1 = pscf.khf.KRHF(cell1)
cell2 = cell1.copy()
cell2.spin = 2
self.assertTrue (isinstance(mf1.convert_from_(kmf_u), pscf.khf.KRHF))
self.assertTrue (isinstance(mf1.convert_from_(pscf.KUHF(cell2)), pscf.khf.KRHF))
self.assertFalse(isinstance(mf1.convert_from_(pscf.KUHF(cell2)), pscf.krohf.KROHF))
self.assertFalse(isinstance(mf1.convert_from_(kmf_u.newton()), newton_ah._CIAH_SOSCF))
self.assertTrue (isinstance(mf1.convert_from_(pscf.KUHF(cell2).density_fit()).with_df, df.df.GDF))
self.assertTrue (isinstance(mf1.convert_from_(pscf.KUHF(cell2).mix_density_fit()).with_df, df.mdf.MDF))
self.assertFalse(isinstance(mf1.convert_from_(pscf.KROHF(cell2)), pscf.krohf.KROHF))
self.assertRaises(AssertionError, mf1.convert_from_, pscf.UHF(cell1))
mf1 = pscf.krohf.KROHF(cell1)
self.assertTrue (isinstance(mf1.convert_from_(kmf_u), pscf.krohf.KROHF))
self.assertTrue (isinstance(mf1.convert_from_(pscf.KUHF(cell2)), pscf.krohf.KROHF))
self.assertFalse(isinstance(mf1.convert_from_(kmf_u.newton()), newton_ah._CIAH_SOSCF))
self.assertTrue (isinstance(mf1.convert_from_(pscf.KUHF(cell2).density_fit()).with_df, df.df.GDF))
self.assertTrue (isinstance(mf1.convert_from_(pscf.KUHF(cell2).mix_density_fit()).with_df, df.mdf.MDF))
self.assertTrue (isinstance(mf1.convert_from_(kmf_r), pscf.krohf.KROHF))
self.assertRaises(AssertionError, mf1.convert_from_, pscf.UHF(cell1))
self.assertTrue(isinstance(pscf.addons.convert_to_rhf(pscf.KROHF(cell2)), pscf.krohf.KROHF))
#self.assertTrue(isinstance(pscf.addons.convert_to_rhf(pscf.KROHF(cell2).newton()), pscf.krohf.KROHF))
mf1 = pscf.kuhf.KUHF(cell1)
self.assertTrue (isinstance(mf1.convert_from_(kmf_r), pscf.kuhf.KUHF))
self.assertFalse(isinstance(mf1.convert_from_(kmf_r.newton()), newton_ah._CIAH_SOSCF))
self.assertTrue (isinstance(mf1.convert_from_(kmf_r.density_fit()).with_df, df.df.GDF))
self.assertTrue (isinstance(mf1.convert_from_(kmf_ro.mix_density_fit()).with_df, df.mdf.MDF))
self.assertRaises(AssertionError, mf1.convert_from_, pscf.UHF(cell1))
def test_convert_to_kghf(self):
from pyscf.pbc import df
from pyscf.soscf import newton_ah
mf1 = pscf.kghf.KGHF(cell)
self.assertTrue (isinstance(mf1.convert_from_(kmf_r), pscf.kghf.KGHF))
self.assertTrue (isinstance(mf1.convert_from_(kmf_u), pscf.kghf.KGHF))
self.assertTrue (isinstance(mf1.convert_from_(kmf_ro), pscf.kghf.KGHF))
self.assertRaises(AssertionError, mf1.convert_from_, pscf.UHF(cell))
self.assertTrue (isinstance(mf1.convert_from_(kmf_u), pscf.kghf.KGHF))
self.assertFalse(isinstance(mf1.convert_from_(kmf_u.newton()), newton_ah._CIAH_SOSCF))
self.assertTrue (isinstance(mf1.convert_from_(kmf_u.density_fit()).with_df, df.df.GDF))
self.assertTrue (isinstance(mf1.convert_from_(kmf_u.mix_density_fit()).with_df, df.mdf.MDF))
def test_canonical_occ(self):
mf1 = pscf.kuhf.KUHF(cell)
mo_energy_kpts = [numpy.array([[0, 2, 3, 4],[0, 0, 1, 2]])] * 2
occ_ref = numpy.array([[[1, 0, 0, 0], [1, 1, 1, 0]]]*2)
occ = mf1.get_occ(mo_energy_kpts)
self.assertAlmostEqual(abs(occ - occ_ref).max(), 0, 14)
mf1 = pscf.addons.canonical_occ_(mf1)
occ_ref = numpy.array([[[1, 1, 0, 0], [1, 1, 0, 0]]]*2)
occ = mf1.get_occ(mo_energy_kpts)
self.assertAlmostEqual(abs(occ - occ_ref).max(), 0, 14)
if __name__ == '__main__':
print("Full Tests for pbc.scf.addons")
unittest.main()
| 54.044521 | 135 | 0.691338 | 2,295 | 15,781 | 4.522876 | 0.090632 | 0.071291 | 0.10973 | 0.12264 | 0.83815 | 0.820424 | 0.812428 | 0.757707 | 0.705973 | 0.676493 | 0 | 0.036757 | 0.160446 | 15,781 | 291 | 136 | 54.230241 | 0.746698 | 0.121285 | 0 | 0.316742 | 0 | 0 | 0.007591 | 0 | 0 | 0 | 0 | 0 | 0.361991 | 1 | 0.045249 | false | 0 | 0.049774 | 0 | 0.099548 | 0.004525 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
5d752c5df9aa88278625c5db960b23a78be0dfef | 137 | py | Python | ebus/na.py | andr2000/ebus | 578f95338e7fd434f02322d0537c0a47b4336423 | [
"Apache-2.0"
] | null | null | null | ebus/na.py | andr2000/ebus | 578f95338e7fd434f02322d0537c0a47b4336423 | [
"Apache-2.0"
] | null | null | null | ebus/na.py | andr2000/ebus | 578f95338e7fd434f02322d0537c0a47b4336423 | [
"Apache-2.0"
] | null | null | null | class NotAvailable:
def __str__(self):
return "NA"
def __repr__(self):
return repr_(self)
NA = NotAvailable()
| 13.7 | 26 | 0.605839 | 15 | 137 | 4.933333 | 0.533333 | 0.27027 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.291971 | 137 | 9 | 27 | 15.222222 | 0.762887 | 0 | 0 | 0 | 0 | 0 | 0.014599 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0.333333 | 0.833333 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
53a179cbb49c7ea1612f667e1a6f54b8b6ec7b7d | 87 | py | Python | g_mlp_pytorch/__init__.py | cpmolnar/gMLP-Disaster-Tweets | 7b13651c2260bc112d706a99466c069fb9348205 | [
"MIT"
] | 346 | 2021-05-18T02:40:27.000Z | 2022-03-31T03:07:54.000Z | g_mlp_pytorch/__init__.py | gheyret/g-mlp-pytorch | 78fff27e0a0d223932a47d7f10bf33d349a4d2d3 | [
"MIT"
] | 6 | 2021-05-19T04:26:22.000Z | 2021-11-22T03:27:49.000Z | g_mlp_pytorch/__init__.py | gheyret/g-mlp-pytorch | 78fff27e0a0d223932a47d7f10bf33d349a4d2d3 | [
"MIT"
] | 49 | 2021-05-18T05:45:04.000Z | 2022-03-24T08:54:14.000Z | from g_mlp_pytorch.g_mlp_pytorch import gMLP, gMLPVision, gMLPBlock, SpatialGatingUnit
| 43.5 | 86 | 0.873563 | 12 | 87 | 6 | 0.75 | 0.111111 | 0.305556 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.08046 | 87 | 1 | 87 | 87 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
53c46373af35cb93c75378f639143108f0ea712a | 102 | py | Python | {{cookiecutter.package_name}}/tests/test_{{cookiecutter.project_slug}}.py | felix-d/cookiecutter-py3.5-minimal | 4d3fb187d0b965af3c54750b5c60c58574beee88 | [
"MIT"
] | null | null | null | {{cookiecutter.package_name}}/tests/test_{{cookiecutter.project_slug}}.py | felix-d/cookiecutter-py3.5-minimal | 4d3fb187d0b965af3c54750b5c60c58574beee88 | [
"MIT"
] | null | null | null | {{cookiecutter.package_name}}/tests/test_{{cookiecutter.project_slug}}.py | felix-d/cookiecutter-py3.5-minimal | 4d3fb187d0b965af3c54750b5c60c58574beee88 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
def test_example():
assert True
| 14.571429 | 39 | 0.696078 | 13 | 102 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012048 | 0.186275 | 102 | 6 | 40 | 17 | 0.771084 | 0.205882 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0.333333 | true | 0 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
53cff2e890c2202b8e5adceaf29cd2c2de626b77 | 23 | py | Python | src/metrics/__init__.py | wvitzthum/DL_super_resolution | 59b2e68bad02579693d48f33ae64d524f08af5ff | [
"MIT"
] | 1 | 2021-08-05T19:44:29.000Z | 2021-08-05T19:44:29.000Z | src/metrics/__init__.py | wvitzthum/DL_super_resolution | 59b2e68bad02579693d48f33ae64d524f08af5ff | [
"MIT"
] | null | null | null | src/metrics/__init__.py | wvitzthum/DL_super_resolution | 59b2e68bad02579693d48f33ae64d524f08af5ff | [
"MIT"
] | null | null | null | from .psnr import psnr
| 11.5 | 22 | 0.782609 | 4 | 23 | 4.5 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.173913 | 23 | 1 | 23 | 23 | 0.947368 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
54f9e287f9e9e14d596e96b772f0895df69c27e7 | 15,397 | py | Python | tests/model/api/test_http_api_generator.py | BearerPipelineTest/serverless-application-model | 2be47dfdf1140b1e84a24bab392cfd634dfe9d1f | [
"Apache-2.0",
"MIT"
] | null | null | null | tests/model/api/test_http_api_generator.py | BearerPipelineTest/serverless-application-model | 2be47dfdf1140b1e84a24bab392cfd634dfe9d1f | [
"Apache-2.0",
"MIT"
] | null | null | null | tests/model/api/test_http_api_generator.py | BearerPipelineTest/serverless-application-model | 2be47dfdf1140b1e84a24bab392cfd634dfe9d1f | [
"Apache-2.0",
"MIT"
] | null | null | null | from unittest import TestCase
from unittest.mock import patch
import pytest
from functools import reduce
from samtranslator.model import InvalidResourceException
from samtranslator.model.api.http_api_generator import HttpApiGenerator
from samtranslator.open_api.open_api import OpenApiEditor
class TestHttpApiGenerator(TestCase):
kwargs = {
"logical_id": "HttpApiId",
"stage_variables": None,
"depends_on": None,
"definition_body": None,
"definition_uri": None,
"stage_name": None,
"tags": None,
"auth": None,
"access_log_settings": None,
"resource_attributes": None,
"passthrough_resource_attributes": None,
}
authorizers = {
"Authorizers": {
"OAuth2": {
"AuthorizationScopes": ["scope"],
"JwtConfiguration": {"config": "value"},
"IdentitySource": "https://example.com",
}
}
}
def test_auth_no_def_body(self):
self.kwargs["auth"] = {"Authorizers": "configuration"}
self.kwargs["definition_body"] = None
with pytest.raises(InvalidResourceException):
HttpApiGenerator(**self.kwargs)._construct_http_api()
def test_auth_wrong_properties(self):
self.kwargs["auth"] = {"Invalid": "auth"}
self.kwargs["definition_body"] = OpenApiEditor.gen_skeleton()
with pytest.raises(InvalidResourceException):
HttpApiGenerator(**self.kwargs)._construct_http_api()
def test_auth_invalid_def_body(self):
self.kwargs["auth"] = {"Authorizers": "auth"}
self.kwargs["definition_body"] = {"Invalid": "open_api"}
with pytest.raises(InvalidResourceException):
HttpApiGenerator(**self.kwargs)._construct_http_api()
def test_auth_invalid_auth_dict(self):
self.kwargs["auth"] = {"Authorizers": "auth"}
self.kwargs["definition_body"] = OpenApiEditor.gen_skeleton()
with pytest.raises(InvalidResourceException):
HttpApiGenerator(**self.kwargs)._construct_http_api()
def test_auth_invalid_auth_strategy(self):
self.kwargs["auth"] = {"Authorizers": {"Auth1": "invalid"}}
self.kwargs["definition_body"] = OpenApiEditor.gen_skeleton()
with pytest.raises(InvalidResourceException):
HttpApiGenerator(**self.kwargs)._construct_http_api()
def test_auth_missing_default_auth(self):
self.kwargs["auth"] = self.authorizers
self.kwargs["auth"]["DefaultAuthorizer"] = "DNE"
self.kwargs["definition_body"] = OpenApiEditor.gen_skeleton()
with pytest.raises(InvalidResourceException):
HttpApiGenerator(**self.kwargs)._construct_http_api()
def test_auth_intrinsic_default_auth(self):
self.kwargs["auth"] = self.authorizers
self.kwargs["auth"]["DefaultAuthorizer"] = {"Ref": "SomeValue"}
self.kwargs["definition_body"] = OpenApiEditor.gen_skeleton()
with pytest.raises(InvalidResourceException):
HttpApiGenerator(**self.kwargs)._construct_http_api()
def test_auth_iam_enabled(self):
self.kwargs["auth"] = {
"EnableIamAuthorizer": True,
}
self.kwargs["definition_body"] = OpenApiEditor.gen_skeleton()
http_api = HttpApiGenerator(**self.kwargs)._construct_http_api()
self.assertEqual(
http_api.Body["components"]["securitySchemes"],
{
"AWS_IAM": {
"type": "apiKey",
"name": "Authorization",
"in": "header",
"x-amazon-apigateway-authtype": "awsSigv4",
}
},
)
def test_enabling_auth_iam_does_not_clobber_conflicting_custom_authorizer(self):
self.kwargs["auth"] = {
"EnableIamAuthorizer": True,
"Authorizers": {
"AWS_IAM": {
"AuthorizationScopes": ["scope"],
"JwtConfiguration": {"config": "value"},
"IdentitySource": "https://example.com",
}
},
}
self.kwargs["definition_body"] = OpenApiEditor.gen_skeleton()
self.kwargs["definition_uri"] = None
http_api = HttpApiGenerator(**self.kwargs)._construct_http_api()
self.assertEqual(
http_api.Body["components"]["securitySchemes"],
{
"AWS_IAM": {
"type": "oauth2",
"x-amazon-apigateway-authorizer": {
"jwtConfiguration": {"config": "value"},
"identitySource": "https://example.com",
"type": "jwt",
},
}
},
)
def test_auth_iam_enabled_with_default(self):
self.kwargs["auth"] = {
"DefaultAuthorizer": "AWS_IAM",
"EnableIamAuthorizer": True,
}
self.kwargs["definition_body"] = OpenApiEditor.gen_skeleton()
http_api = HttpApiGenerator(**self.kwargs)._construct_http_api()
self.assertEqual(
http_api.Body["components"]["securitySchemes"],
{
"AWS_IAM": {
"type": "apiKey",
"name": "Authorization",
"in": "header",
"x-amazon-apigateway-authtype": "awsSigv4",
}
},
)
def test_auth_missing_iam_enablement(self):
self.kwargs["auth"] = {
"DefaultAuthorizer": "AWS_IAM",
"EnableIamAuthorizer": False,
}
self.kwargs["definition_body"] = OpenApiEditor.gen_skeleton()
with pytest.raises(InvalidResourceException) as e:
HttpApiGenerator(**self.kwargs)._construct_http_api()
self.assertEqual(
e.value.message,
"Resource with id [HttpApiId] is invalid. "
+ "Unable to set DefaultAuthorizer because 'AWS_IAM' was not defined in 'Authorizers'.",
)
def test_auth_iam_disabled(self):
self.kwargs["auth"] = {
"EnableIamAuthorizer": False,
}
self.kwargs["definition_body"] = OpenApiEditor.gen_skeleton()
http_api = HttpApiGenerator(**self.kwargs)._construct_http_api()
self.assertNotIn("components", http_api.Body)
def test_auth_iam_not_enabled_with_unsupported_values(self):
unsupported_values = [1, "", [], {}, {"Ref": "MyVar"}, "True", None]
for val in unsupported_values:
self.kwargs["auth"] = {
"EnableIamAuthorizer": val,
}
self.kwargs["definition_body"] = OpenApiEditor.gen_skeleton()
http_api = HttpApiGenerator(**self.kwargs)._construct_http_api()
self.assertNotIn("components", http_api.Body, "EnableIamAuthorizer value: %s" % val)
def test_auth_novalue_default_does_not_raise(self):
self.kwargs["auth"] = self.authorizers
self.kwargs["auth"]["DefaultAuthorizer"] = {"Ref": "AWS::NoValue"}
self.kwargs["definition_body"] = OpenApiEditor.gen_skeleton()
HttpApiGenerator(**self.kwargs)._construct_http_api()
def test_def_uri_invalid_dict(self):
self.kwargs["auth"] = None
self.kwargs["definition_body"] = None
self.kwargs["definition_uri"] = {"Invalid": "key"}
with pytest.raises(InvalidResourceException):
HttpApiGenerator(**self.kwargs)._construct_http_api()
def test_def_uri_invalid_uri(self):
self.kwargs["auth"] = None
self.kwargs["definition_body"] = None
self.kwargs["definition_uri"] = "invalid_uri"
with pytest.raises(InvalidResourceException):
HttpApiGenerator(**self.kwargs)._construct_http_api()
def test_no_def_body_or_uri(self):
self.kwargs["auth"] = None
self.kwargs["definition_body"] = None
self.kwargs["definition_uri"] = None
with pytest.raises(InvalidResourceException):
HttpApiGenerator(**self.kwargs)._construct_http_api()
class TestCustomDomains(TestCase):
kwargs = {
"logical_id": "HttpApiId",
"stage_variables": None,
"depends_on": None,
"definition_body": None,
"definition_uri": "s3://bucket/key",
"stage_name": None,
"tags": None,
"auth": None,
"access_log_settings": None,
"resource_attributes": None,
"passthrough_resource_attributes": None,
"domain": None,
}
def test_no_domain(self):
self.kwargs["domain"] = None
http_api = HttpApiGenerator(**self.kwargs)._construct_http_api()
domain, basepath, route = HttpApiGenerator(**self.kwargs)._construct_api_domain(http_api)
self.assertIsNone(domain)
self.assertIsNone(basepath)
self.assertIsNone(route)
def test_no_domain_name(self):
self.kwargs["domain"] = {"CertificateArn": "someurl"}
http_api = HttpApiGenerator(**self.kwargs)._construct_http_api()
with pytest.raises(InvalidResourceException) as e:
HttpApiGenerator(**self.kwargs)._construct_api_domain(http_api)
self.assertEqual(
e.value.message,
"Resource with id [HttpApiId] is invalid. "
+ "Custom Domains only works if both DomainName and CertificateArn are provided.",
)
def test_no_cert_arn(self):
self.kwargs["domain"] = {"DomainName": "example.com"}
http_api = HttpApiGenerator(**self.kwargs)._construct_http_api()
with pytest.raises(InvalidResourceException) as e:
HttpApiGenerator(**self.kwargs)._construct_api_domain(http_api)
self.assertEqual(
e.value.message,
"Resource with id [HttpApiId] is invalid. "
+ "Custom Domains only works if both DomainName and CertificateArn are provided.",
)
def test_basic_domain_default_endpoint(self):
self.kwargs["domain"] = {"DomainName": "example.com", "CertificateArn": "some-url"}
http_api = HttpApiGenerator(**self.kwargs)._construct_http_api()
domain, basepath, route = HttpApiGenerator(**self.kwargs)._construct_api_domain(http_api)
self.assertIsNotNone(domain, None)
self.assertIsNotNone(basepath, None)
self.assertEqual(len(basepath), 1)
self.assertIsNone(route, None)
self.assertEqual(domain.DomainNameConfigurations[0].get("EndpointType"), "REGIONAL")
def test_basic_domain_regional_endpoint(self):
self.kwargs["domain"] = {
"DomainName": "example.com",
"CertificateArn": "some-url",
"EndpointConfiguration": "REGIONAL",
}
http_api = HttpApiGenerator(**self.kwargs)._construct_http_api()
domain, basepath, route = HttpApiGenerator(**self.kwargs)._construct_api_domain(http_api)
self.assertIsNotNone(domain, None)
self.assertIsNotNone(basepath, None)
self.assertEqual(len(basepath), 1)
self.assertIsNone(route, None)
self.assertEqual(domain.DomainNameConfigurations[0].get("EndpointType"), "REGIONAL")
def test_basic_domain_edge_endpoint(self):
self.kwargs["domain"] = {
"DomainName": "example.com",
"CertificateArn": "some-url",
"EndpointConfiguration": "EDGE",
}
http_api = HttpApiGenerator(**self.kwargs)._construct_http_api()
with pytest.raises(InvalidResourceException) as e:
HttpApiGenerator(**self.kwargs)._construct_api_domain(http_api)
self.assertEqual(
e.value.message,
"Resource with id [HttpApiId] is invalid. EndpointConfiguration for Custom Domains must be one of ['REGIONAL'].",
)
def test_bad_endpoint(self):
self.kwargs["domain"] = {
"DomainName": "example.com",
"CertificateArn": "some-url",
"EndpointConfiguration": "INVALID",
}
http_api = HttpApiGenerator(**self.kwargs)._construct_http_api()
with pytest.raises(InvalidResourceException) as e:
HttpApiGenerator(**self.kwargs)._construct_api_domain(http_api)
self.assertEqual(
e.value.message,
"Resource with id [HttpApiId] is invalid. "
+ "EndpointConfiguration for Custom Domains must be one of ['REGIONAL'].",
)
def test_basic_route53(self):
self.kwargs["domain"] = {
"DomainName": "example.com",
"CertificateArn": "some-url",
"Route53": {"HostedZoneId": "xyz"},
}
http_api = HttpApiGenerator(**self.kwargs)._construct_http_api()
domain, basepath, route = HttpApiGenerator(**self.kwargs)._construct_api_domain(http_api)
self.assertIsNotNone(domain, None)
self.assertIsNotNone(basepath, None)
self.assertEqual(len(basepath), 1)
self.assertIsNotNone(route, None)
self.assertEqual(domain.DomainNameConfigurations[0].get("EndpointType"), "REGIONAL")
def test_basepaths(self):
self.kwargs["domain"] = {
"DomainName": "example.com",
"CertificateArn": "some-url",
"BasePath": ["one", "two", "three"],
"Route53": {"HostedZoneId": "xyz"},
}
http_api = HttpApiGenerator(**self.kwargs)._construct_http_api()
domain, basepath, route = HttpApiGenerator(**self.kwargs)._construct_api_domain(http_api)
self.assertIsNotNone(domain, None)
self.assertIsNotNone(basepath, None)
self.assertEqual(len(basepath), 3)
self.assertIsNotNone(route, None)
self.assertEqual(domain.DomainNameConfigurations[0].get("EndpointType"), "REGIONAL")
def test_invalid_basepaths(self):
self.kwargs["domain"] = {
"DomainName": "example.com",
"CertificateArn": "some-url",
"BasePath": ["inv*alid"],
"Route53": {"HostedZoneId": "xyz"},
}
http_api = HttpApiGenerator(**self.kwargs)._construct_http_api()
with pytest.raises(InvalidResourceException) as e:
HttpApiGenerator(**self.kwargs)._construct_api_domain(http_api)
self.assertEqual(
e.value.message, "Resource with id [HttpApiId] is invalid. " + "Invalid Basepath name provided."
)
def test_basepaths(self):
self.kwargs["domain"] = {
"DomainName": "example.com",
"CertificateArn": "some-url",
"BasePath": ["one-1", "two_2", "three", "/", "/api", "api/v1", "api/v1/", "/api/v1/"],
"Route53": {"HostedZoneId": "xyz", "HostedZoneName": "abc", "IpV6": True},
}
http_api = HttpApiGenerator(**self.kwargs)._construct_http_api()
domain, basepath, route = HttpApiGenerator(**self.kwargs)._construct_api_domain(http_api)
self.assertIsNotNone(domain, None)
self.assertIsNotNone(basepath, None)
self.assertEqual(len(basepath), 8)
self.assertIsNotNone(route, None)
self.assertEqual(route.HostedZoneName, None)
self.assertEqual(route.HostedZoneId, "xyz")
self.assertEqual(len(route.RecordSets), 2)
self.assertEqual(
list(map(lambda base: base.ApiMappingKey, basepath)),
["one-1", "two_2", "three", "", "api", "api/v1", "api/v1", "api/v1"],
)
| 42.068306 | 125 | 0.614211 | 1,456 | 15,397 | 6.271291 | 0.12706 | 0.099661 | 0.11105 | 0.149491 | 0.844157 | 0.829263 | 0.818092 | 0.792356 | 0.783375 | 0.75972 | 0 | 0.003323 | 0.257193 | 15,397 | 365 | 126 | 42.183562 | 0.795051 | 0 | 0 | 0.626506 | 0 | 0 | 0.208222 | 0.016432 | 0 | 0 | 0 | 0 | 0.126506 | 1 | 0.084337 | false | 0.006024 | 0.021084 | 0 | 0.120482 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
54fa2868450a39cf3499cbb89ea43e7d9ee6b6ee | 6,980 | py | Python | tests/test_stock_management.py | venkat402/saleor | d1b5e43483981a4add5a2946b6b4ff1f376c9341 | [
"CC-BY-4.0"
] | 4 | 2021-04-09T01:07:00.000Z | 2022-02-15T10:51:39.000Z | tests/test_stock_management.py | gurupratap-matharu/saleor | c9d147dba24ddef1def889852c229027bab767df | [
"CC-BY-4.0"
] | null | null | null | tests/test_stock_management.py | gurupratap-matharu/saleor | c9d147dba24ddef1def889852c229027bab767df | [
"CC-BY-4.0"
] | 1 | 2019-09-15T02:19:10.000Z | 2019-09-15T02:19:10.000Z | import pytest
from saleor.core.exceptions import InsufficientStock
from saleor.warehouse.management import (
allocate_stock,
deallocate_stock,
decrease_stock,
increase_stock,
)
from saleor.warehouse.models import Allocation
COUNTRY_CODE = "US"
def test_allocate_stock(order_line, stock):
stock.quantity = 100
stock.save(update_fields=["quantity"])
allocate_stock(order_line, COUNTRY_CODE, 50)
stock.refresh_from_db()
assert stock.quantity == 100
allocation = Allocation.objects.get(order_line=order_line, stock=stock)
assert allocation.quantity_allocated == 50
def test_allocate_stock_many_stocks(order_line, variant_with_many_stocks):
variant = variant_with_many_stocks
stocks = variant.stocks.all()
allocate_stock(order_line, COUNTRY_CODE, 5)
allocations = Allocation.objects.filter(order_line=order_line, stock__in=stocks)
assert allocations[0].quantity_allocated == 4
assert allocations[1].quantity_allocated == 1
def test_allocate_stock_many_stocks_partially_allocated(
order_line, order_line_with_allocation_in_many_stocks
):
allocated_line = order_line_with_allocation_in_many_stocks
variant = allocated_line.variant
stocks = variant.stocks.all()
allocate_stock(order_line, COUNTRY_CODE, 4)
allocations = Allocation.objects.filter(order_line=order_line, stock__in=stocks)
assert allocations[0].quantity_allocated == 2
assert allocations[1].quantity_allocated == 2
def test_allocate_stock_partially_allocated_insufficient_stocks(
order_line, order_line_with_allocation_in_many_stocks
):
allocated_line = order_line_with_allocation_in_many_stocks
variant = allocated_line.variant
stocks = variant.stocks.all()
with pytest.raises(InsufficientStock):
allocate_stock(order_line, COUNTRY_CODE, 6)
assert not Allocation.objects.filter(
order_line=order_line, stock__in=stocks
).exists()
def test_allocate_stock_insufficient_stocks(order_line, variant_with_many_stocks):
variant = variant_with_many_stocks
stocks = variant.stocks.all()
with pytest.raises(InsufficientStock):
allocate_stock(order_line, COUNTRY_CODE, 10)
assert not Allocation.objects.filter(
order_line=order_line, stock__in=stocks
).exists()
def test_deallocate_stock(allocation):
stock = allocation.stock
stock.quantity = 100
stock.save(update_fields=["quantity"])
allocation.quantity_allocated = 80
allocation.save(update_fields=["quantity_allocated"])
deallocate_stock(allocation.order_line, 80)
stock.refresh_from_db()
assert stock.quantity == 100
allocation.refresh_from_db()
assert allocation.quantity_allocated == 0
def test_deallocate_stock_partially(allocation):
stock = allocation.stock
stock.quantity = 100
stock.save(update_fields=["quantity"])
allocation.quantity_allocated = 80
allocation.save(update_fields=["quantity_allocated"])
deallocate_stock(allocation.order_line, 50)
stock.refresh_from_db()
assert stock.quantity == 100
allocation.refresh_from_db()
assert allocation.quantity_allocated == 30
def test_deallocate_stock_many_allocations(order_line_with_allocation_in_many_stocks,):
order_line = order_line_with_allocation_in_many_stocks
deallocate_stock(order_line, 3)
allocations = order_line.allocations.all()
assert allocations[0].quantity_allocated == 0
assert allocations[1].quantity_allocated == 0
def test_deallocate_stock_many_allocations_partially(
order_line_with_allocation_in_many_stocks,
):
order_line = order_line_with_allocation_in_many_stocks
deallocate_stock(order_line, 1)
allocations = order_line.allocations.all()
assert allocations[0].quantity_allocated == 1
assert allocations[1].quantity_allocated == 1
def test_increase_stock_without_allocate(allocation):
stock = allocation.stock
stock.quantity = 100
stock.save(update_fields=["quantity"])
allocation.quantity_allocated = 80
allocation.save(update_fields=["quantity_allocated"])
increase_stock(allocation.order_line, stock.warehouse, 50, allocate=False)
stock.refresh_from_db()
assert stock.quantity == 150
allocation.refresh_from_db()
assert allocation.quantity_allocated == 80
def test_increase_stock_with_allocate(allocation):
stock = allocation.stock
stock.quantity = 100
stock.save(update_fields=["quantity"])
allocation.quantity_allocated = 80
allocation.save(update_fields=["quantity_allocated"])
increase_stock(allocation.order_line, stock.warehouse, 50, allocate=True)
stock.refresh_from_db()
assert stock.quantity == 150
allocation.refresh_from_db()
assert allocation.quantity_allocated == 130
def test_increase_stock_with_new_allocation(order_line, stock):
assert not Allocation.objects.filter(order_line=order_line, stock=stock).exists()
stock.quantity = 100
stock.save(update_fields=["quantity"])
increase_stock(order_line, stock.warehouse, 50, allocate=True)
stock.refresh_from_db()
assert stock.quantity == 150
allocation = Allocation.objects.get(order_line=order_line, stock=stock)
assert allocation.quantity_allocated == 50
def test_decrease_stock(allocation):
stock = allocation.stock
stock.quantity = 100
stock.save(update_fields=["quantity"])
allocation.quantity_allocated = 80
allocation.save(update_fields=["quantity_allocated"])
decrease_stock(allocation.order_line, 50)
stock.refresh_from_db()
assert stock.quantity == 50
allocation.refresh_from_db()
assert allocation.quantity_allocated == 30
def test_decrease_stock_partially(allocation):
stock = allocation.stock
stock.quantity = 100
stock.save(update_fields=["quantity"])
allocation.quantity_allocated = 80
allocation.save(update_fields=["quantity_allocated"])
decrease_stock(allocation.order_line, 80)
stock.refresh_from_db()
assert stock.quantity == 20
allocation.refresh_from_db()
assert allocation.quantity_allocated == 0
def test_decrease_stock_many_allocations(order_line_with_allocation_in_many_stocks,):
order_line = order_line_with_allocation_in_many_stocks
decrease_stock(order_line, 3)
allocations = order_line.allocations.all()
assert allocations[0].quantity_allocated == 0
assert allocations[0].stock.quantity == 2
assert allocations[1].quantity_allocated == 0
assert allocations[1].stock.quantity == 2
def test_decrease_stock_many_allocations_partially(
order_line_with_allocation_in_many_stocks,
):
order_line = order_line_with_allocation_in_many_stocks
decrease_stock(order_line, 2)
allocations = order_line.allocations.all()
assert allocations[0].quantity_allocated == 0
assert allocations[0].stock.quantity == 2
assert allocations[1].quantity_allocated == 1
assert allocations[1].stock.quantity == 3
| 30.614035 | 87 | 0.766332 | 865 | 6,980 | 5.833526 | 0.075145 | 0.099881 | 0.038644 | 0.066587 | 0.912604 | 0.897939 | 0.86088 | 0.851962 | 0.826001 | 0.816092 | 0 | 0.021882 | 0.148854 | 6,980 | 227 | 88 | 30.748899 | 0.82747 | 0 | 0 | 0.670807 | 0 | 0 | 0.024928 | 0 | 0 | 0 | 0 | 0 | 0.217391 | 1 | 0.099379 | false | 0 | 0.024845 | 0 | 0.124224 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
07338274c895d2601647cc8f82688d240e0f1b77 | 23,678 | py | Python | pybind/slxos/v16r_1_00b/brocade_mpls_rpc/show_mpls_dynamic_bypass_interface_brief/output/mpls_dynamic_bypass_interface_brief/show_mpls_dynamic_bypass_interface_brief/__init__.py | shivharis/pybind | 4e1c6d54b9fd722ccec25546ba2413d79ce337e6 | [
"Apache-2.0"
] | null | null | null | pybind/slxos/v16r_1_00b/brocade_mpls_rpc/show_mpls_dynamic_bypass_interface_brief/output/mpls_dynamic_bypass_interface_brief/show_mpls_dynamic_bypass_interface_brief/__init__.py | shivharis/pybind | 4e1c6d54b9fd722ccec25546ba2413d79ce337e6 | [
"Apache-2.0"
] | null | null | null | pybind/slxos/v16r_1_00b/brocade_mpls_rpc/show_mpls_dynamic_bypass_interface_brief/output/mpls_dynamic_bypass_interface_brief/show_mpls_dynamic_bypass_interface_brief/__init__.py | shivharis/pybind | 4e1c6d54b9fd722ccec25546ba2413d79ce337e6 | [
"Apache-2.0"
] | 1 | 2021-11-05T22:15:42.000Z | 2021-11-05T22:15:42.000Z |
from operator import attrgetter
import pyangbind.lib.xpathhelper as xpathhelper
from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType, RestrictedClassType, TypedListType
from pyangbind.lib.yangtypes import YANGBool, YANGListType, YANGDynClass, ReferenceType
from pyangbind.lib.base import PybindBase
from decimal import Decimal
from bitarray import bitarray
import __builtin__
class show_mpls_dynamic_bypass_interface_brief(PybindBase):
"""
This class was auto-generated by the PythonClass plugin for PYANG
from YANG module brocade-mpls - based on the path /brocade_mpls_rpc/show-mpls-dynamic-bypass-interface-brief/output/mpls-dynamic-bypass-interface-brief/show-mpls-dynamic-bypass-interface-brief. Each member element of
the container is represented as a class variable - with a specific
YANG type.
"""
__slots__ = ('_pybind_generated_by', '_path_helper', '_yang_name', '_rest_name', '_extmethods', '__dbyp_interface_name','__dbyp_interface_active_status','__dbyp_interface_admin_type','__dbyp_interface_admin_status','__dbyp_interface_count','__dbyp_interface_merge_point',)
_yang_name = 'show-mpls-dynamic-bypass-interface-brief'
_rest_name = 'show-mpls-dynamic-bypass-interface-brief'
_pybind_generated_by = 'container'
def __init__(self, *args, **kwargs):
path_helper_ = kwargs.pop("path_helper", None)
if path_helper_ is False:
self._path_helper = False
elif path_helper_ is not None and isinstance(path_helper_, xpathhelper.YANGPathHelper):
self._path_helper = path_helper_
elif hasattr(self, "_parent"):
path_helper_ = getattr(self._parent, "_path_helper", False)
self._path_helper = path_helper_
else:
self._path_helper = False
extmethods = kwargs.pop("extmethods", None)
if extmethods is False:
self._extmethods = False
elif extmethods is not None and isinstance(extmethods, dict):
self._extmethods = extmethods
elif hasattr(self, "_parent"):
extmethods = getattr(self._parent, "_extmethods", None)
self._extmethods = extmethods
else:
self._extmethods = False
self.__dbyp_interface_admin_status = YANGDynClass(base=RestrictedClassType(base_type=int, restriction_dict={'range': ['0..255']}, int_size=8), is_leaf=True, yang_name="dbyp-interface-admin-status", rest_name="dbyp-interface-admin-status", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='uint8', is_config=True)
self.__dbyp_interface_merge_point = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="dbyp-interface-merge-point", rest_name="dbyp-interface-merge-point", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='uint32', is_config=True)
self.__dbyp_interface_count = YANGDynClass(base=RestrictedClassType(base_type=int, restriction_dict={'range': ['0..65535']},int_size=16), is_leaf=True, yang_name="dbyp-interface-count", rest_name="dbyp-interface-count", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='uint16', is_config=True)
self.__dbyp_interface_name = YANGDynClass(base=unicode, is_leaf=True, yang_name="dbyp-interface-name", rest_name="dbyp-interface-name", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='string', is_config=True)
self.__dbyp_interface_admin_type = YANGDynClass(base=RestrictedClassType(base_type=int, restriction_dict={'range': ['0..255']}, int_size=8), is_leaf=True, yang_name="dbyp-interface-admin-type", rest_name="dbyp-interface-admin-type", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='uint8', is_config=True)
self.__dbyp_interface_active_status = YANGDynClass(base=RestrictedClassType(base_type=int, restriction_dict={'range': ['0..255']}, int_size=8), is_leaf=True, yang_name="dbyp-interface-active-status", rest_name="dbyp-interface-active-status", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='uint8', is_config=True)
load = kwargs.pop("load", None)
if args:
if len(args) > 1:
raise TypeError("cannot create a YANG container with >1 argument")
all_attr = True
for e in self._pyangbind_elements:
if not hasattr(args[0], e):
all_attr = False
break
if not all_attr:
raise ValueError("Supplied object did not have the correct attributes")
for e in self._pyangbind_elements:
nobj = getattr(args[0], e)
if nobj._changed() is False:
continue
setmethod = getattr(self, "_set_%s" % e)
if load is None:
setmethod(getattr(args[0], e))
else:
setmethod(getattr(args[0], e), load=load)
def _path(self):
if hasattr(self, "_parent"):
return self._parent._path()+[self._yang_name]
else:
return [u'brocade_mpls_rpc', u'show-mpls-dynamic-bypass-interface-brief', u'output', u'mpls-dynamic-bypass-interface-brief', u'show-mpls-dynamic-bypass-interface-brief']
def _rest_path(self):
if hasattr(self, "_parent"):
if self._rest_name:
return self._parent._rest_path()+[self._rest_name]
else:
return self._parent._rest_path()
else:
return [u'show-mpls-dynamic-bypass-interface-brief', u'output', u'mpls-dynamic-bypass-interface-brief', u'show-mpls-dynamic-bypass-interface-brief']
def _get_dbyp_interface_name(self):
"""
Getter method for dbyp_interface_name, mapped from YANG variable /brocade_mpls_rpc/show_mpls_dynamic_bypass_interface_brief/output/mpls_dynamic_bypass_interface_brief/show_mpls_dynamic_bypass_interface_brief/dbyp_interface_name (string)
YANG Description: Dynamic Bypass Interface name
"""
return self.__dbyp_interface_name
def _set_dbyp_interface_name(self, v, load=False):
"""
Setter method for dbyp_interface_name, mapped from YANG variable /brocade_mpls_rpc/show_mpls_dynamic_bypass_interface_brief/output/mpls_dynamic_bypass_interface_brief/show_mpls_dynamic_bypass_interface_brief/dbyp_interface_name (string)
If this variable is read-only (config: false) in the
source YANG file, then _set_dbyp_interface_name is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_dbyp_interface_name() directly.
YANG Description: Dynamic Bypass Interface name
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=unicode, is_leaf=True, yang_name="dbyp-interface-name", rest_name="dbyp-interface-name", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='string', is_config=True)
except (TypeError, ValueError):
raise ValueError({
'error-string': """dbyp_interface_name must be of a type compatible with string""",
'defined-type': "string",
'generated-type': """YANGDynClass(base=unicode, is_leaf=True, yang_name="dbyp-interface-name", rest_name="dbyp-interface-name", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='string', is_config=True)""",
})
self.__dbyp_interface_name = t
if hasattr(self, '_set'):
self._set()
def _unset_dbyp_interface_name(self):
self.__dbyp_interface_name = YANGDynClass(base=unicode, is_leaf=True, yang_name="dbyp-interface-name", rest_name="dbyp-interface-name", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='string', is_config=True)
def _get_dbyp_interface_active_status(self):
"""
Getter method for dbyp_interface_active_status, mapped from YANG variable /brocade_mpls_rpc/show_mpls_dynamic_bypass_interface_brief/output/mpls_dynamic_bypass_interface_brief/show_mpls_dynamic_bypass_interface_brief/dbyp_interface_active_status (uint8)
YANG Description: Active status for the dynamic bypass interface
"""
return self.__dbyp_interface_active_status
def _set_dbyp_interface_active_status(self, v, load=False):
"""
Setter method for dbyp_interface_active_status, mapped from YANG variable /brocade_mpls_rpc/show_mpls_dynamic_bypass_interface_brief/output/mpls_dynamic_bypass_interface_brief/show_mpls_dynamic_bypass_interface_brief/dbyp_interface_active_status (uint8)
If this variable is read-only (config: false) in the
source YANG file, then _set_dbyp_interface_active_status is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_dbyp_interface_active_status() directly.
YANG Description: Active status for the dynamic bypass interface
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=RestrictedClassType(base_type=int, restriction_dict={'range': ['0..255']}, int_size=8), is_leaf=True, yang_name="dbyp-interface-active-status", rest_name="dbyp-interface-active-status", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='uint8', is_config=True)
except (TypeError, ValueError):
raise ValueError({
'error-string': """dbyp_interface_active_status must be of a type compatible with uint8""",
'defined-type': "uint8",
'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=int, restriction_dict={'range': ['0..255']}, int_size=8), is_leaf=True, yang_name="dbyp-interface-active-status", rest_name="dbyp-interface-active-status", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='uint8', is_config=True)""",
})
self.__dbyp_interface_active_status = t
if hasattr(self, '_set'):
self._set()
def _unset_dbyp_interface_active_status(self):
self.__dbyp_interface_active_status = YANGDynClass(base=RestrictedClassType(base_type=int, restriction_dict={'range': ['0..255']}, int_size=8), is_leaf=True, yang_name="dbyp-interface-active-status", rest_name="dbyp-interface-active-status", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='uint8', is_config=True)
def _get_dbyp_interface_admin_type(self):
"""
Getter method for dbyp_interface_admin_type, mapped from YANG variable /brocade_mpls_rpc/show_mpls_dynamic_bypass_interface_brief/output/mpls_dynamic_bypass_interface_brief/show_mpls_dynamic_bypass_interface_brief/dbyp_interface_admin_type (uint8)
YANG Description: Admin type of the dynamic bypass interface
"""
return self.__dbyp_interface_admin_type
def _set_dbyp_interface_admin_type(self, v, load=False):
"""
Setter method for dbyp_interface_admin_type, mapped from YANG variable /brocade_mpls_rpc/show_mpls_dynamic_bypass_interface_brief/output/mpls_dynamic_bypass_interface_brief/show_mpls_dynamic_bypass_interface_brief/dbyp_interface_admin_type (uint8)
If this variable is read-only (config: false) in the
source YANG file, then _set_dbyp_interface_admin_type is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_dbyp_interface_admin_type() directly.
YANG Description: Admin type of the dynamic bypass interface
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=RestrictedClassType(base_type=int, restriction_dict={'range': ['0..255']}, int_size=8), is_leaf=True, yang_name="dbyp-interface-admin-type", rest_name="dbyp-interface-admin-type", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='uint8', is_config=True)
except (TypeError, ValueError):
raise ValueError({
'error-string': """dbyp_interface_admin_type must be of a type compatible with uint8""",
'defined-type': "uint8",
'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=int, restriction_dict={'range': ['0..255']}, int_size=8), is_leaf=True, yang_name="dbyp-interface-admin-type", rest_name="dbyp-interface-admin-type", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='uint8', is_config=True)""",
})
self.__dbyp_interface_admin_type = t
if hasattr(self, '_set'):
self._set()
def _unset_dbyp_interface_admin_type(self):
self.__dbyp_interface_admin_type = YANGDynClass(base=RestrictedClassType(base_type=int, restriction_dict={'range': ['0..255']}, int_size=8), is_leaf=True, yang_name="dbyp-interface-admin-type", rest_name="dbyp-interface-admin-type", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='uint8', is_config=True)
def _get_dbyp_interface_admin_status(self):
"""
Getter method for dbyp_interface_admin_status, mapped from YANG variable /brocade_mpls_rpc/show_mpls_dynamic_bypass_interface_brief/output/mpls_dynamic_bypass_interface_brief/show_mpls_dynamic_bypass_interface_brief/dbyp_interface_admin_status (uint8)
YANG Description: Admin status of the dynamic bypass interface
"""
return self.__dbyp_interface_admin_status
def _set_dbyp_interface_admin_status(self, v, load=False):
"""
Setter method for dbyp_interface_admin_status, mapped from YANG variable /brocade_mpls_rpc/show_mpls_dynamic_bypass_interface_brief/output/mpls_dynamic_bypass_interface_brief/show_mpls_dynamic_bypass_interface_brief/dbyp_interface_admin_status (uint8)
If this variable is read-only (config: false) in the
source YANG file, then _set_dbyp_interface_admin_status is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_dbyp_interface_admin_status() directly.
YANG Description: Admin status of the dynamic bypass interface
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=RestrictedClassType(base_type=int, restriction_dict={'range': ['0..255']}, int_size=8), is_leaf=True, yang_name="dbyp-interface-admin-status", rest_name="dbyp-interface-admin-status", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='uint8', is_config=True)
except (TypeError, ValueError):
raise ValueError({
'error-string': """dbyp_interface_admin_status must be of a type compatible with uint8""",
'defined-type': "uint8",
'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=int, restriction_dict={'range': ['0..255']}, int_size=8), is_leaf=True, yang_name="dbyp-interface-admin-status", rest_name="dbyp-interface-admin-status", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='uint8', is_config=True)""",
})
self.__dbyp_interface_admin_status = t
if hasattr(self, '_set'):
self._set()
def _unset_dbyp_interface_admin_status(self):
self.__dbyp_interface_admin_status = YANGDynClass(base=RestrictedClassType(base_type=int, restriction_dict={'range': ['0..255']}, int_size=8), is_leaf=True, yang_name="dbyp-interface-admin-status", rest_name="dbyp-interface-admin-status", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='uint8', is_config=True)
def _get_dbyp_interface_count(self):
"""
Getter method for dbyp_interface_count, mapped from YANG variable /brocade_mpls_rpc/show_mpls_dynamic_bypass_interface_brief/output/mpls_dynamic_bypass_interface_brief/show_mpls_dynamic_bypass_interface_brief/dbyp_interface_count (uint16)
YANG Description: Dynamic bypass count of the interface
"""
return self.__dbyp_interface_count
def _set_dbyp_interface_count(self, v, load=False):
"""
Setter method for dbyp_interface_count, mapped from YANG variable /brocade_mpls_rpc/show_mpls_dynamic_bypass_interface_brief/output/mpls_dynamic_bypass_interface_brief/show_mpls_dynamic_bypass_interface_brief/dbyp_interface_count (uint16)
If this variable is read-only (config: false) in the
source YANG file, then _set_dbyp_interface_count is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_dbyp_interface_count() directly.
YANG Description: Dynamic bypass count of the interface
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=RestrictedClassType(base_type=int, restriction_dict={'range': ['0..65535']},int_size=16), is_leaf=True, yang_name="dbyp-interface-count", rest_name="dbyp-interface-count", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='uint16', is_config=True)
except (TypeError, ValueError):
raise ValueError({
'error-string': """dbyp_interface_count must be of a type compatible with uint16""",
'defined-type': "uint16",
'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=int, restriction_dict={'range': ['0..65535']},int_size=16), is_leaf=True, yang_name="dbyp-interface-count", rest_name="dbyp-interface-count", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='uint16', is_config=True)""",
})
self.__dbyp_interface_count = t
if hasattr(self, '_set'):
self._set()
def _unset_dbyp_interface_count(self):
self.__dbyp_interface_count = YANGDynClass(base=RestrictedClassType(base_type=int, restriction_dict={'range': ['0..65535']},int_size=16), is_leaf=True, yang_name="dbyp-interface-count", rest_name="dbyp-interface-count", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='uint16', is_config=True)
def _get_dbyp_interface_merge_point(self):
"""
Getter method for dbyp_interface_merge_point, mapped from YANG variable /brocade_mpls_rpc/show_mpls_dynamic_bypass_interface_brief/output/mpls_dynamic_bypass_interface_brief/show_mpls_dynamic_bypass_interface_brief/dbyp_interface_merge_point (uint32)
YANG Description: Dynamic Bypass merge point count of the interface
"""
return self.__dbyp_interface_merge_point
def _set_dbyp_interface_merge_point(self, v, load=False):
"""
Setter method for dbyp_interface_merge_point, mapped from YANG variable /brocade_mpls_rpc/show_mpls_dynamic_bypass_interface_brief/output/mpls_dynamic_bypass_interface_brief/show_mpls_dynamic_bypass_interface_brief/dbyp_interface_merge_point (uint32)
If this variable is read-only (config: false) in the
source YANG file, then _set_dbyp_interface_merge_point is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_dbyp_interface_merge_point() directly.
YANG Description: Dynamic Bypass merge point count of the interface
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="dbyp-interface-merge-point", rest_name="dbyp-interface-merge-point", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='uint32', is_config=True)
except (TypeError, ValueError):
raise ValueError({
'error-string': """dbyp_interface_merge_point must be of a type compatible with uint32""",
'defined-type': "uint32",
'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="dbyp-interface-merge-point", rest_name="dbyp-interface-merge-point", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='uint32', is_config=True)""",
})
self.__dbyp_interface_merge_point = t
if hasattr(self, '_set'):
self._set()
def _unset_dbyp_interface_merge_point(self):
self.__dbyp_interface_merge_point = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="dbyp-interface-merge-point", rest_name="dbyp-interface-merge-point", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='uint32', is_config=True)
dbyp_interface_name = __builtin__.property(_get_dbyp_interface_name, _set_dbyp_interface_name)
dbyp_interface_active_status = __builtin__.property(_get_dbyp_interface_active_status, _set_dbyp_interface_active_status)
dbyp_interface_admin_type = __builtin__.property(_get_dbyp_interface_admin_type, _set_dbyp_interface_admin_type)
dbyp_interface_admin_status = __builtin__.property(_get_dbyp_interface_admin_status, _set_dbyp_interface_admin_status)
dbyp_interface_count = __builtin__.property(_get_dbyp_interface_count, _set_dbyp_interface_count)
dbyp_interface_merge_point = __builtin__.property(_get_dbyp_interface_merge_point, _set_dbyp_interface_merge_point)
_pyangbind_elements = {'dbyp_interface_name': dbyp_interface_name, 'dbyp_interface_active_status': dbyp_interface_active_status, 'dbyp_interface_admin_type': dbyp_interface_admin_type, 'dbyp_interface_admin_status': dbyp_interface_admin_status, 'dbyp_interface_count': dbyp_interface_count, 'dbyp_interface_merge_point': dbyp_interface_merge_point, }
| 73.534161 | 458 | 0.772743 | 3,239 | 23,678 | 5.299784 | 0.05619 | 0.127228 | 0.07177 | 0.072702 | 0.896831 | 0.855936 | 0.835081 | 0.810381 | 0.795759 | 0.774554 | 0 | 0.009835 | 0.115424 | 23,678 | 321 | 459 | 73.76324 | 0.80974 | 0.237013 | 0 | 0.441489 | 0 | 0.031915 | 0.334857 | 0.210767 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111702 | false | 0.026596 | 0.042553 | 0 | 0.276596 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
075c693849ebf51127fac44417a9e38d7919722a | 120 | py | Python | tests/_site/import_error_app/catalogue/app.py | akiyoko/oscar_sandbox | b384f1c0b5f297fd4b84509a575f6766a48630a5 | [
"BSD-3-Clause"
] | 68 | 2016-11-06T05:07:57.000Z | 2021-12-17T09:17:38.000Z | tests/_site/import_error_app/catalogue/app.py | akiyoko/oscar_sandbox | b384f1c0b5f297fd4b84509a575f6766a48630a5 | [
"BSD-3-Clause"
] | 10 | 2020-05-11T20:33:31.000Z | 2022-03-12T00:24:28.000Z | tests/_site/import_error_app/catalogue/app.py | akiyoko/oscar_sandbox | b384f1c0b5f297fd4b84509a575f6766a48630a5 | [
"BSD-3-Clause"
] | 28 | 2016-12-04T07:12:50.000Z | 2021-02-06T21:13:15.000Z | # On purpose raise ImportError
from django import NonExistingApp
class CatalogueApplication(NonExistingApp):
pass
| 17.142857 | 43 | 0.816667 | 12 | 120 | 8.166667 | 0.916667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.15 | 120 | 6 | 44 | 20 | 0.960784 | 0.233333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.333333 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 6 |
4ac9f5fc6065c16c0765fb5963941200da346f53 | 29 | py | Python | __init__.py | constantinpape/glasbey | edc0caac52af2594eb108aaa23a49b2e5dcf730b | [
"MIT"
] | 95 | 2015-12-01T09:49:20.000Z | 2022-03-30T11:12:06.000Z | __init__.py | constantinpape/glasbey | edc0caac52af2594eb108aaa23a49b2e5dcf730b | [
"MIT"
] | 13 | 2020-07-07T03:59:02.000Z | 2022-03-30T04:28:06.000Z | __init__.py | constantinpape/glasbey | edc0caac52af2594eb108aaa23a49b2e5dcf730b | [
"MIT"
] | 19 | 2016-05-16T14:44:08.000Z | 2022-03-01T18:05:09.000Z | from .glasbey import Glasbey
| 14.5 | 28 | 0.827586 | 4 | 29 | 6 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.137931 | 29 | 1 | 29 | 29 | 0.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
ab1eaa116a0e92fb6d74b20e26803655e06d232a | 312 | py | Python | src/validationlib/validation.py | rocoelho85/fiap | e24f7c56b55914f5fbc7895c9a20e0e166fc0225 | [
"MIT"
] | null | null | null | src/validationlib/validation.py | rocoelho85/fiap | e24f7c56b55914f5fbc7895c9a20e0e166fc0225 | [
"MIT"
] | null | null | null | src/validationlib/validation.py | rocoelho85/fiap | e24f7c56b55914f5fbc7895c9a20e0e166fc0225 | [
"MIT"
] | null | null | null | def greaterThenZero(value):
return True if value > 0 else False
def greaterOrEqualThenZero(value):
return True if value >= 0 else False
def validInt(value):
return True if type(value) is int else False
def validFloat(value):
return True if (type(value) is float or type(value) is int) else False
| 26 | 74 | 0.733974 | 49 | 312 | 4.673469 | 0.346939 | 0.19214 | 0.262009 | 0.296943 | 0.703057 | 0.703057 | 0.550218 | 0.305677 | 0.305677 | 0 | 0 | 0.007937 | 0.192308 | 312 | 11 | 75 | 28.363636 | 0.900794 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | false | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
ab336cbdcbe3e2ce84bf02d5a06cb5d4cfdf0fd4 | 361 | py | Python | oni/twisted_event_dispatcher/__init__.py | cscutcher/twisted_event_dispatcher | 9abfbb5af325daf2cc6000d5120e2628604afb5b | [
"Unlicense"
] | null | null | null | oni/twisted_event_dispatcher/__init__.py | cscutcher/twisted_event_dispatcher | 9abfbb5af325daf2cc6000d5120e2628604afb5b | [
"Unlicense"
] | 1 | 2015-03-24T14:32:30.000Z | 2015-03-24T14:32:30.000Z | oni/twisted_event_dispatcher/__init__.py | cscutcher/twisted_event_dispatcher | 9abfbb5af325daf2cc6000d5120e2628604afb5b | [
"Unlicense"
] | null | null | null | # -*- coding: utf-8 -*-
'''
Establish external interface of twisted_event_dispatcher
'''
# flake8 doesn't like imports below without use
# flake8: noqa
from oni.twisted_event_dispatcher._dispatcher import EventDispatcher
from oni.twisted_event_dispatcher.interfaces import IEventDispatcher
from oni.twisted_event_dispatcher.interfaces import IBackgroundUtility
| 36.1 | 70 | 0.833795 | 44 | 361 | 6.636364 | 0.590909 | 0.164384 | 0.30137 | 0.195205 | 0.407534 | 0.308219 | 0.308219 | 0 | 0 | 0 | 0 | 0.009202 | 0.096953 | 361 | 9 | 71 | 40.111111 | 0.886503 | 0.382271 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
db46ba8f62b2ae8c35612f0c6dd35474ff95c5e2 | 22 | py | Python | upbank/__init__.py | alyssadev/upbankpy | eef13851587ddadc76f2865fbd8bea131570c8b2 | [
"MIT"
] | 3 | 2020-08-02T23:35:36.000Z | 2022-01-03T23:51:05.000Z | upbank/__init__.py | alyssadev/upbankpy | eef13851587ddadc76f2865fbd8bea131570c8b2 | [
"MIT"
] | null | null | null | upbank/__init__.py | alyssadev/upbankpy | eef13851587ddadc76f2865fbd8bea131570c8b2 | [
"MIT"
] | null | null | null | from .upbank import *
| 11 | 21 | 0.727273 | 3 | 22 | 5.333333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.181818 | 22 | 1 | 22 | 22 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
db5a7d9f05dd3c4826b8f1c8f794b8364edebefd | 7,708 | py | Python | stories/migrations/0001_initial.py | Emrahgs/Food-stories | b3465ca25024e2370cd5ce42af83c1b92a8982d4 | [
"MIT"
] | 1 | 2021-08-19T19:20:11.000Z | 2021-08-19T19:20:11.000Z | stories/migrations/0001_initial.py | Emrahgs/Food-stories | b3465ca25024e2370cd5ce42af83c1b92a8982d4 | [
"MIT"
] | null | null | null | stories/migrations/0001_initial.py | Emrahgs/Food-stories | b3465ca25024e2370cd5ce42af83c1b92a8982d4 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.7 on 2021-03-18 09:07
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
name='Category',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('title', models.CharField(max_length=127, verbose_name='Basliq')),
('image', models.ImageField(upload_to='recipe_images', verbose_name='Sekil')),
('order', models.PositiveIntegerField(default=1, verbose_name='Order')),
('is_published', models.BooleanField(default=True, verbose_name='Is Published')),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
],
options={
'verbose_name': 'Category',
'verbose_name_plural': 'Categories',
'ordering': ('order', '-created_at'),
},
),
migrations.CreateModel(
name='Contact',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=127, verbose_name='Tam adi')),
('email', models.EmailField(max_length=63, verbose_name='E-poct')),
('subject', models.CharField(max_length=255, verbose_name='Movzu')),
('message', models.TextField(help_text='Bu qutuya mesajinizi daxil edin', verbose_name='Mesaj')),
('order', models.PositiveIntegerField(default=1, verbose_name='Order')),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
],
options={
'ordering': ('-created_at',),
},
),
migrations.CreateModel(
name='Subscriber',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('email', models.EmailField(max_length=63, verbose_name='E-poct')),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
],
),
migrations.CreateModel(
name='Tag',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('title', models.CharField(max_length=50, verbose_name='Title')),
('order', models.PositiveIntegerField(default=1, verbose_name='Order')),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('is_published', models.BooleanField(verbose_name='Is_published')),
],
options={
'verbose_name': 'Tag',
'verbose_name_plural': 'Tags',
'ordering': ('created_at',),
},
),
migrations.CreateModel(
name='Story',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('title', models.CharField(max_length=127, verbose_name='Basliq')),
('description', models.TextField(verbose_name='Mezmun')),
('image', models.ImageField(upload_to='recipe_images', verbose_name='Sekil')),
('slug', models.SlugField(unique=True, verbose_name='Slug')),
('is_published', models.BooleanField(verbose_name='Is_published')),
('order', models.PositiveIntegerField(default=1, verbose_name='Order')),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('author', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='stories', to=settings.AUTH_USER_MODEL, verbose_name='author')),
('category', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='stories', to='stories.category', verbose_name='Category')),
('tags', models.ManyToManyField(blank=True, db_index=True, to='stories.Tag', verbose_name='Tags')),
],
options={
'ordering': ('-created_at',),
},
),
migrations.CreateModel(
name='Recipe',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('title', models.CharField(max_length=127, verbose_name='Basliq')),
('slug', models.SlugField(unique=True, verbose_name='Slug')),
('short_description', models.CharField(max_length=255, verbose_name='Qisa Mezmun')),
('image', models.ImageField(upload_to='recipe_images', verbose_name='Sekil')),
('description', models.TextField(verbose_name='Mezmun')),
('is_published', models.BooleanField(verbose_name='Is_published')),
('order', models.PositiveIntegerField(default=1, verbose_name='Order')),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('author', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='recipes', to=settings.AUTH_USER_MODEL, verbose_name='author')),
('category', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='recipes', to='stories.category', verbose_name='Category')),
('tags', models.ManyToManyField(blank=True, db_index=True, to='stories.Tag', verbose_name='Tags')),
],
options={
'ordering': ('-created_at',),
},
),
migrations.CreateModel(
name='Comment',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('context', models.TextField(verbose_name='Reyiniz')),
('email', models.EmailField(max_length=254, verbose_name='Emailiniz')),
('website', models.CharField(max_length=127, verbose_name='Website')),
('message', models.TextField(help_text='Bu qutuya mesajinizi daxil edin', verbose_name='Mesaj')),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('author', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='comment', to=settings.AUTH_USER_MODEL, verbose_name='Author')),
('parent_comment', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='sub_comments', to='stories.comment', verbose_name='Parent Comment')),
('recipe', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='comment', to='stories.recipe', verbose_name='Recipe')),
('story', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='comment', to='stories.story', verbose_name='Story')),
],
),
]
| 57.954887 | 204 | 0.598469 | 777 | 7,708 | 5.727156 | 0.160875 | 0.126067 | 0.066067 | 0.078652 | 0.822921 | 0.808539 | 0.781124 | 0.737528 | 0.685393 | 0.674607 | 0 | 0.008678 | 0.252465 | 7,708 | 132 | 205 | 58.393939 | 0.763624 | 0.005838 | 0 | 0.648 | 1 | 0 | 0.156638 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.024 | 0 | 0.056 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
dbb35a6de200a49de36181b3ceb8c703426eafb3 | 103 | py | Python | hooks/hook-regex.py | Lily418/fs2020-atc-voice-recognition | 22555ceb8044502af1322a7baddabbdf99a79a5a | [
"MIT"
] | null | null | null | hooks/hook-regex.py | Lily418/fs2020-atc-voice-recognition | 22555ceb8044502af1322a7baddabbdf99a79a5a | [
"MIT"
] | 3 | 2021-09-12T15:18:12.000Z | 2021-09-13T16:00:16.000Z | hooks/hook-regex.py | Lily418/fs2020-atc-voice-recognition | 22555ceb8044502af1322a7baddabbdf99a79a5a | [
"MIT"
] | null | null | null | from PyInstaller.utils.hooks import collect_all
datas, binaries, hiddenimports = collect_all('regex')
| 25.75 | 53 | 0.815534 | 13 | 103 | 6.307692 | 0.846154 | 0.243902 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.097087 | 103 | 3 | 54 | 34.333333 | 0.88172 | 0 | 0 | 0 | 0 | 0 | 0.048544 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
dbba1f2dd7bc381a3d54c4b3bc271d6b3877043b | 7,267 | py | Python | imexam/tests/test_util.py | patkel/imexam | 31820b4f11e3be14e428d3c1336d3b277105f3dd | [
"BSD-3-Clause"
] | null | null | null | imexam/tests/test_util.py | patkel/imexam | 31820b4f11e3be14e428d3c1336d3b277105f3dd | [
"BSD-3-Clause"
] | null | null | null | imexam/tests/test_util.py | patkel/imexam | 31820b4f11e3be14e428d3c1336d3b277105f3dd | [
"BSD-3-Clause"
] | null | null | null | """Licensed under a 3-clause BSD style license - see LICENSE.rst.
Make sure that the functions in util are behaving as expected
"""
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import numpy as np
from numpy.testing import assert_equal
from astropy.io import fits
from imexam import util
import ntpath
# testing data
test_data_zeros = np.zeros((100, 100), dtype=float)
def test_invalid_simple_fits():
"""Test for an invalid simple FITS hdu with no data in
the primary HDU."""
simple_fits_hdu = fits.PrimaryHDU()
valid_file, nextend, first_image = util.check_valid(simple_fits_hdu)
assert_equal(valid_file, False)
assert_equal(nextend, 0)
assert_equal(first_image, None)
def test_invalid_MEF_table():
"""Test an MEF FITS hdu that only has table data."""
# create some binary table data
data = np.arange(0, 1, 0.01) * np.random.rand(100)
col = np.arange(100) + 1
d1 = fits.Column(name="data", format='d', array=data)
c1 = fits.Column(name="item", format='d', array=col)
cols = fits.ColDefs([c1, d1])
tbhdu = fits.BinTableHDU.from_columns(cols, name='TAB1')
mef_fits_hdu = fits.HDUList()
extension = fits.PrimaryHDU()
mef_fits_hdu.append(tbhdu)
mef_file, nextend, first_image = util.check_valid(mef_fits_hdu)
assert_equal(mef_file, True)
assert_equal(nextend, 1)
assert_equal(first_image, None)
def test_image_and_table_extensions():
"""Validate an MEF with an image in the first and
a table in the second extension."""
data = np.arange(0, 1, 0.01) * np.random.rand(100)
col = np.arange(100) + 1
d1 = fits.Column(name="data", format='d', array=data)
c1 = fits.Column(name="item", format='d', array=col)
cols = fits.ColDefs([c1, d1])
tbhdu = fits.BinTableHDU.from_columns(cols, name='TAB1')
mef_fits_hdu = fits.HDUList()
mef_fits_hdu.append(fits.PrimaryHDU())
extension = fits.PrimaryHDU()
mef_fits_hdu.append(tbhdu)
mef_fits_hdu.append(fits.ImageHDU(test_data_zeros,
header=extension.header,
name='SCI1'))
mef_file, nextend, first_image = util.check_valid(mef_fits_hdu)
assert_equal(mef_file, True)
assert_equal(nextend, 2)
assert_equal(first_image, 2)
def test_drizzled_image():
"""Validate a drizzle style output, with an image in the
primary HDU and a table in the first."""
data = np.arange(0, 1, 0.01) * np.random.rand(100)
col = np.arange(100) + 1
d1 = fits.Column(name="data", format='d', array=data)
c1 = fits.Column(name="item", format='d', array=col)
cols = fits.ColDefs([c1, d1])
tbhdu = fits.BinTableHDU.from_columns(cols, name='TAB1')
mef_fits_hdu = fits.HDUList()
extension = fits.PrimaryHDU()
mef_fits_hdu.append(fits.ImageHDU(test_data_zeros,
header=extension.header))
mef_fits_hdu.data = test_data_zeros
mef_fits_hdu.append(tbhdu)
mef_file, nextend, first_image = util.check_valid(mef_fits_hdu)
assert_equal(mef_file, True)
assert_equal(nextend, 1)
assert_equal(first_image, 0)
def test_mef_2_image_extensions():
"""Check the file to see if it is a multi-extension FITS file
or a simple fits image where the data and header are stored in
the primary hdr.
testa valid MEF file with 2 image extensions
and the first image in the first extension
not the primary HDU
"""
mef_fits_hdu = fits.HDUList()
mef_fits_hdu.append(fits.PrimaryHDU())
extension = fits.PrimaryHDU()
extension.header['EXTVER'] = 1
mef_fits_hdu.append(fits.ImageHDU(test_data_zeros,
header=extension.header,
name='SCI1'))
extension.header['EXTVER'] = 2
mef_fits_hdu.append(fits.ImageHDU(test_data_zeros,
header=extension.header,
name='SCI2'))
mef_file, nextend, first_image = util.check_valid(mef_fits_hdu)
assert_equal(mef_file, True)
assert_equal(nextend, 2)
assert_equal(first_image, 1)
def test_simple_image_in_primary():
"""Check the file to see if it is a multi-extension FITS file
or a simple fits image where the data and header are stored in
the primary hdr.
This will try and find an image data unit in the primary HDU
"""
simple_fits_hdu = fits.PrimaryHDU()
simple_fits_hdu.data = test_data_zeros
mef_file, nextend, first_image = util.check_valid(simple_fits_hdu)
assert_equal(mef_file, False)
assert_equal(nextend, 0)
assert_equal(first_image, 0)
def test_hst_filename():
"""Verify basename of a standard hst filename."""
hst_name = "hstimagex_cal.fits"
shortname, extname, extver = util.verify_filename(filename=hst_name)
short_compare = ntpath.basename(shortname)
assert_equal(hst_name, short_compare)
assert_equal(extname, None)
assert_equal(extver, None)
def test_ext_ver_filename():
"""Verify basename of a filename given with ext and ver."""
hst_name_ext_ver = "hstimagex_cal.fits[sci,1]"
rootname = "hstimagex_cal.fits"
shortname, extname, extver = util.verify_filename(filename=hst_name_ext_ver)
short_compare = ntpath.basename(shortname)
assert_equal(rootname, short_compare)
assert_equal(extname, "sci")
assert_equal(extver, 1)
def test_name_ver_filename():
"""Verify basename of a filename given name and ver."""
hst_name_ver = "hstimagex_cal.fits[1]"
rootname = "hstimagex_cal.fits"
shortname, extname, extver = util.verify_filename(filename=hst_name_ver)
short_compare = ntpath.basename(shortname)
assert_equal(rootname, short_compare)
assert_equal(extname, None)
assert_equal(extver, 1)
def test_extver():
"""Verify that specifying an extver gets recorded correctly.
extver is the extension number explicitly"""
hst_name = "hstimagex_cal.fits"
shortname, extname, extver = util.verify_filename(filename=hst_name,
extver=1)
short_compare = ntpath.basename(shortname)
assert_equal(hst_name, short_compare)
assert_equal(extname, None)
assert_equal(extver, 1)
def test_extname():
"""Verify that specifying an extname gets recorded correctly."""
hst_name = "hstimagex_cal.fits"
shortname, extname, extver = util.verify_filename(filename=hst_name,
extname='sci')
short_compare = ntpath.basename(shortname)
assert_equal(hst_name, short_compare)
assert_equal(extname, 'sci')
assert_equal(extver, None)
def test_name_ver():
"""Verify that specifying both name and ver gets recorded correctly."""
hst_name = "hstimagex_cal.fits"
shortname, extname, extver = util.verify_filename(filename=hst_name,
extname='sci',
extver=1)
short_compare = ntpath.basename(shortname)
assert_equal(hst_name, short_compare)
assert_equal(extname, 'sci')
assert_equal(extver, 1)
| 33.8 | 80 | 0.668089 | 989 | 7,267 | 4.689585 | 0.150657 | 0.087753 | 0.040966 | 0.031048 | 0.764985 | 0.746658 | 0.739759 | 0.721216 | 0.702889 | 0.68025 | 0 | 0.014893 | 0.233109 | 7,267 | 214 | 81 | 33.957944 | 0.817334 | 0.176276 | 0 | 0.701493 | 0 | 0 | 0.040102 | 0.00785 | 0 | 0 | 0 | 0 | 0.276119 | 1 | 0.089552 | false | 0 | 0.044776 | 0 | 0.134328 | 0.007463 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
918b8c03274cee00c22ac36b187b630522a2525b | 10,103 | py | Python | tests/test_list.py | arounkles/markflow | fb13a5ed5f2df958e068b869e8dbdcd2d93b1552 | [
"Apache-2.0"
] | null | null | null | tests/test_list.py | arounkles/markflow | fb13a5ed5f2df958e068b869e8dbdcd2d93b1552 | [
"Apache-2.0"
] | null | null | null | tests/test_list.py | arounkles/markflow | fb13a5ed5f2df958e068b869e8dbdcd2d93b1552 | [
"Apache-2.0"
] | null | null | null | import textwrap
from markflow.formatters.list import MarkdownList, split_code
import pytest
from .util import create_section, render
class TestSplitCode:
def test_nosplit(self) -> None:
input_ = """\
test
test"""
expected = [input_]
assert split_code(input_) == expected
def test_split(self) -> None:
input_ = textwrap.dedent(
"""\
plaintext
```
code
code
```
plaintext"""
)
expected = ["plaintext", "```\ncode\ncode\n```", "plaintext"]
assert split_code(input_) == expected
class TestMarkdownList:
def test_basic(self) -> None:
input_ = textwrap.dedent(
"""\
* I am a list that is pretty badly
formatted
* There are all sorts of problems that don't make this look very nice, like
bullets that break across lines and missing spaces.
* Which also is a problem when working with nested lists since they could be
missing leading spaces and make things look extra confusing."""
)
expected = textwrap.dedent(
"""\
* I am a list that is pretty badly formatted
* There are all sorts of problems that don't make
this look very nice, like bullets that break
across lines and missing spaces.
* Which also is a problem when working with nested
lists since they could be missing leading spaces
and make things look extra confusing."""
)
lst = create_section(MarkdownList, input_)
assert lst.reformatted(width=50) == expected
lst = create_section(MarkdownList, expected)
assert lst.reformatted(width=50) == expected
assert render(expected) == render(input_)
def test_make_bullets_same(self) -> None:
input_ = textwrap.dedent(
"""\
* Test
+ Test
- Test"""
)
expected = textwrap.dedent(
"""\
* Test
* Test
* Test"""
)
lst = create_section(MarkdownList, input_)
assert lst.reformatted() == expected
lst = create_section(MarkdownList, expected)
assert lst.reformatted() == expected
# Since we correct lists that have mismatched indicators, we update the strings
# to have consistent bullets.
# Note: Here, this doesn't actually test much. We keep it here for test
# consistency.
input_ = input_.replace("-", "*").replace("+", "*")
expected = expected.replace("-", "*").replace("+", "*")
assert render(expected) == render(input_)
def test_correct_numbering(self) -> None:
input_ = textwrap.dedent(
"""\
1. Test
1. Test
4. Test"""
)
expected = textwrap.dedent(
"""\
1. Test
2. Test
3. Test"""
)
lst = create_section(MarkdownList, input_)
assert lst.reformatted() == expected
lst = create_section(MarkdownList, expected)
assert lst.reformatted() == expected
assert render(expected) == render(input_)
def test_nested_unordered(self) -> None:
input_ = textwrap.dedent(
"""\
* This is a really long line that with terrible
spacing
- This is also a really long line with terrible
spacing
* This one's ok though
- So is this one"""
)
expected = textwrap.dedent(
"""\
* This is a really long line that with terrible
spacing
- This is also a really long line with terrible
spacing
- This one's ok though
* So is this one"""
)
lst = create_section(MarkdownList, input_)
assert lst.reformatted(width=50) == expected
lst = create_section(MarkdownList, expected)
assert lst.reformatted(width=50) == expected
# Since we correct lists that have mismatched indicators, we update the strings
# to have consistent bullets.
input_ = input_.replace("-", "*")
expected = expected.replace("-", "*")
assert render(expected) == render(input_)
def test_nested_ordered(self) -> None:
input_ = textwrap.dedent(
"""\
1. This is a really long line that with terrible
spacing
1. This is also a really long line with terrible
spacing
1. This one's ok though
1. This one isn't
great
1. So is this one"""
)
expected = textwrap.dedent(
"""\
1. This is a really long line that with terrible
spacing
1. This is also a really long line with
terrible spacing
2. This one's ok though
3. This one isn't great
2. So is this one"""
)
lst = create_section(MarkdownList, input_)
assert lst.reformatted(width=50) == expected
lst = create_section(MarkdownList, expected)
assert lst.reformatted(width=50) == expected
input_ = input_.replace("-", "*")
expected = expected.replace("-", "*")
assert render(expected) == render(input_)
def test_weird_indenting(self) -> None:
input_ = textwrap.dedent(
"""\
* This is a really long line that with terrible
spacing
* Let's make sure this doesn't stay here
* This is also a really long line with terrible
spacing
- Let's make sure this does stay here
- This one's ok though, minus the symbol
- So is this one"""
)
expected = textwrap.dedent(
"""\
* This is a really long line that with terrible
spacing
* Let's make sure this doesn't stay here
* This is also a really long line with terrible
spacing
- Let's make sure this does stay here
* This one's ok though, minus the symbol
* So is this one"""
)
lst = create_section(MarkdownList, input_)
assert lst.reformatted(width=50) == expected
lst = create_section(MarkdownList, expected)
assert lst.reformatted(width=50) == expected
# Since we correct lists that have mismatched indicators, we update the strings
# to have consistent bullets.
input_ = input_.replace("-", "*")
expected = expected.replace("-", "*")
assert render(expected) == render(input_)
def test_links(self) -> None:
input_ = textwrap.dedent(
"""\
* [URL](http://example.com/very/nested/directory)
* [URL](http://example.com)"""
)
expected = textwrap.dedent(
"""\
* [URL](
http://example.com/very/nested/directory)
* [URL](http://example.com)"""
)
lst = create_section(MarkdownList, input_)
assert lst.reformatted(width=30) == expected
lst = create_section(MarkdownList, expected)
assert lst.reformatted(width=30) == expected
assert render(expected) == render(input_)
def test_indented(self) -> None:
input_ = " * Entry 1\n* Entry 2"
expected = " * Entry 1\n * Entry 2"
lst = create_section(MarkdownList, input_)
assert lst.reformatted() == expected
lst = create_section(MarkdownList, expected)
assert lst.reformatted() == expected
assert render(expected) == render(input_)
def test_indented_numerics(self) -> None:
input_ = " 1. Test\n 2. Test\n 10. Test"
expected = " 1. Test\n 2. Test\n 3. Test"
lst = create_section(MarkdownList, input_)
assert lst.reformatted() == expected
lst = create_section(MarkdownList, expected)
assert lst.reformatted() == expected
assert render(expected) == render(input_)
def test_ordered_list_with_nine_entries(self) -> None:
"""Ensure we don't add extra indents on 10^n-1 length lists"""
input_ = (
"1. a\n"
"2. b\n"
"3. c\n"
"4. d\n"
"5. e\n"
"6. f\n"
"7. g\n"
"8. h\n"
"9. i"
)
expected = input_
lst = create_section(MarkdownList, input_)
assert lst.reformatted() == expected
lst = create_section(MarkdownList, expected)
assert lst.reformatted() == expected
assert render(expected) == render(input_)
@pytest.mark.xfail(
reason="TODO: Indentation isn't properly detected with ordered lists."
)
def test_nested_ordered_bad_indent(self) -> None:
input_ = textwrap.dedent(
"""\
1. This is a really long line that with terrible
spacing
1. This is also a really long line with terrible
spacing
1. This one's ok though
1. This one isn't
great
1. So is this one"""
)
expected = textwrap.dedent(
"""\
1. This is a really long line that with terrible
spacing
2. This is also a really long line with terrible
spacing
3. This one's ok though
4. This one isn't great
5. So is this one"""
)
lst = create_section(MarkdownList, input_)
assert lst.reformatted(width=50) == expected
lst = create_section(MarkdownList, expected)
assert lst.reformatted(width=50) == expected
input_ = input_.replace("-", "*")
expected = expected.replace("-", "*")
assert render(expected) == render(input_)
| 35.699647 | 88 | 0.544195 | 1,096 | 10,103 | 4.923358 | 0.15146 | 0.055411 | 0.065234 | 0.114159 | 0.848592 | 0.800037 | 0.789659 | 0.789659 | 0.772053 | 0.749815 | 0 | 0.011332 | 0.362368 | 10,103 | 282 | 89 | 35.826241 | 0.826296 | 0.045927 | 0 | 0.569444 | 0 | 0 | 0.052416 | 0 | 0 | 0 | 0 | 0 | 0.243056 | 1 | 0.090278 | false | 0 | 0.027778 | 0 | 0.131944 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
919504d52e3c100497ecf11560a97940ed1d7dbe | 2,931 | py | Python | scripts/download_all_kilt_data.py | samuelbroscheit/KILT | b391de2f53bd338e83bea869cbe72f65b2c907ff | [
"MIT"
] | 674 | 2020-09-07T08:15:17.000Z | 2022-03-25T01:17:40.000Z | scripts/download_all_kilt_data.py | soumik2012/KILT | 403489c0b73375ff14c055b6357ce525a548b592 | [
"MIT"
] | 34 | 2020-09-08T16:44:08.000Z | 2022-03-27T09:55:00.000Z | scripts/download_all_kilt_data.py | soumik2012/KILT | 403489c0b73375ff14c055b6357ce525a548b592 | [
"MIT"
] | 72 | 2020-09-07T18:21:18.000Z | 2022-03-18T08:19:53.000Z | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import requests
from tqdm.auto import tqdm
urls = [
"http://dl.fbaipublicfiles.com/KILT/fever-train-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/fever-dev-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/fever-test_without_answers-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/nq-train-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/nq-dev-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/nq-test_without_answers-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/hotpotqa-train-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/hotpotqa-dev-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/hotpotqa-test_without_answers-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/triviaqa-train_id-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/triviaqa-dev_id-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/triviaqa-test_id_without_answers-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/eli5-train-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/eli5-dev-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/eli5-test_without_answers-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/trex-train-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/trex-dev-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/trex-test_without_answers-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/structured_zeroshot-train-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/structured_zeroshot-dev-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/structured_zeroshot-test_without_answers-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/aidayago2-train-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/aidayago2-dev-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/aidayago2-test_without_answers-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/wned-dev-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/wned-test_without_answers-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/cweb-dev-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/cweb-test_without_answers-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/wow-train-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/wow-dev-kilt.jsonl",
"http://dl.fbaipublicfiles.com/KILT/wow-test_without_answers-kilt.jsonl",
]
for url in urls:
base = url.split("/")[-1]
filename = f"data/{base}"
r = requests.get(url, stream=True)
# Total size in bytes.
total_size = int(r.headers.get("content-length", 0))
block_size = 1024 # 1 Kibibyte
t = tqdm(total=total_size, unit="iB", unit_scale=True, desc=base)
with open(filename, "wb") as f:
for data in r.iter_content(block_size):
t.update(len(data))
f.write(data)
t.close()
| 49.677966 | 93 | 0.722961 | 417 | 2,931 | 5 | 0.220624 | 0.089209 | 0.31223 | 0.356835 | 0.774101 | 0.761151 | 0.745324 | 0.745324 | 0.368345 | 0.23741 | 0 | 0.004983 | 0.10986 | 2,931 | 58 | 94 | 50.534483 | 0.794174 | 0.074036 | 0 | 0 | 0 | 0 | 0.73762 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.042553 | 0 | 0.042553 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
91987d6621f91a4d4bc145cf5a020097d54e2f92 | 210 | py | Python | servers/python/coweb/updater/__init__.py | opencoweb/coweb | 7b3a87ee9eda735a859447d404ee16edde1c5671 | [
"AFL-2.1"
] | 83 | 2015-01-05T19:02:57.000Z | 2021-11-19T02:48:09.000Z | servers/python/coweb/updater/__init__.py | xuelingxiao/coweb | 7b3a87ee9eda735a859447d404ee16edde1c5671 | [
"AFL-2.1"
] | 3 | 2015-12-16T13:49:33.000Z | 2019-06-17T13:38:50.000Z | servers/python/coweb/updater/__init__.py | xuelingxiao/coweb | 7b3a87ee9eda735a859447d404ee16edde1c5671 | [
"AFL-2.1"
] | 14 | 2015-04-29T22:36:53.000Z | 2021-11-18T03:24:29.000Z | '''
Updater Type Matcher extension point
Copyright (c) The Dojo Foundation 2011. All Rights Reserved.
Copyright (c) IBM Corporation 2008, 2011. All Rights Reserved.
'''
from .base import UpdaterTypeMatcherBase
| 30 | 62 | 0.785714 | 27 | 210 | 6.111111 | 0.777778 | 0.121212 | 0.157576 | 0.254545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.066298 | 0.138095 | 210 | 6 | 63 | 35 | 0.845304 | 0.761905 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
91c273733b10360c089a1763c21770d94a25f144 | 178 | py | Python | examples/auracog_suggestions/__init__.py | Telefonica/clipspy | 87d1d63604a209e2271efd3d3b8df0943836a504 | [
"BSD-3-Clause"
] | null | null | null | examples/auracog_suggestions/__init__.py | Telefonica/clipspy | 87d1d63604a209e2271efd3d3b8df0943836a504 | [
"BSD-3-Clause"
] | null | null | null | examples/auracog_suggestions/__init__.py | Telefonica/clipspy | 87d1d63604a209e2271efd3d3b8df0943836a504 | [
"BSD-3-Clause"
] | null | null | null | from .rules_based_suggestions import RulesBasedIntentSuggestions
from .context import TestJsonContextAdapter, ContextManagerContextAdapter, MappingContextAdapter, ContextAdapter
| 59.333333 | 112 | 0.910112 | 13 | 178 | 12.307692 | 0.846154 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.061798 | 178 | 2 | 113 | 89 | 0.958084 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
91d9ba9e54dcf33e42e466cc7473f98c7c23c044 | 96 | py | Python | venv/lib/python3.8/site-packages/parso/tree.py | Retraces/UkraineBot | 3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71 | [
"MIT"
] | 2 | 2022-03-13T01:58:52.000Z | 2022-03-31T06:07:54.000Z | venv/lib/python3.8/site-packages/parso/tree.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | 19 | 2021-11-20T04:09:18.000Z | 2022-03-23T15:05:55.000Z | venv/lib/python3.8/site-packages/parso/tree.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | null | null | null | /home/runner/.cache/pip/pool/57/6d/dc/9a475209bb327ee87308c0e33037f9c57737f8f7fbc4815c2e0f01c27f | 96 | 96 | 0.895833 | 9 | 96 | 9.555556 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.4375 | 0 | 96 | 1 | 96 | 96 | 0.458333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
91df750631ca8701c6648525e4308db6ee4185c6 | 77 | py | Python | src/imageprocessing/extend_data/__init__.py | shevdan/OCR_DataBases | 8e7c26d45725938447ea890725cbda0b73340d3e | [
"MIT"
] | 2 | 2021-05-17T17:33:43.000Z | 2021-05-17T17:34:40.000Z | src/imageprocessing/extend_data/__init__.py | shevdan/OCR_DataBases | 8e7c26d45725938447ea890725cbda0b73340d3e | [
"MIT"
] | 1 | 2021-04-28T09:34:35.000Z | 2021-04-28T09:41:47.000Z | src/imageprocessing/extend_data/__init__.py | shevdan/TextRecognition | 8e7c26d45725938447ea890725cbda0b73340d3e | [
"MIT"
] | null | null | null | from . import convert_csv
from . import data_adt
from . import image_augment | 25.666667 | 27 | 0.805195 | 12 | 77 | 4.916667 | 0.666667 | 0.508475 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.155844 | 77 | 3 | 27 | 25.666667 | 0.907692 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
7261ec11b9aafeb70162967a40077f8e7d289e68 | 4,560 | py | Python | test/kernels/test_polynomial_kernel.py | Mehdishishehbor/gpytorch | 432e537b3f6679ea4ab3acf33b14626b7e161c92 | [
"MIT"
] | null | null | null | test/kernels/test_polynomial_kernel.py | Mehdishishehbor/gpytorch | 432e537b3f6679ea4ab3acf33b14626b7e161c92 | [
"MIT"
] | null | null | null | test/kernels/test_polynomial_kernel.py | Mehdishishehbor/gpytorch | 432e537b3f6679ea4ab3acf33b14626b7e161c92 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import unittest
import torch
from Lgpytorch.kernels import PolynomialKernel
from Lgpytorch.priors import NormalPrior
from Lgpytorch.test.base_kernel_test_case import BaseKernelTestCase
class TestPolynomialKernel(unittest.TestCase, BaseKernelTestCase):
def create_kernel_no_ard(self, **kwargs):
return PolynomialKernel(power=2, **kwargs)
def test_computes_quadratic_kernel(self):
a = torch.tensor([[4, 1], [2, 2], [8, 0]], dtype=torch.float)
b = torch.tensor([[0, 0], [2, 1], [1, 0]], dtype=torch.float)
kernel = PolynomialKernel(power=2)
kernel.eval()
actual = torch.zeros(3, 3)
for i in range(3):
for j in range(3):
actual[i, j] = (a[i].matmul(b[j]) + kernel.offset).pow(kernel.power)
res = kernel(a, b).evaluate()
self.assertLess(torch.norm(res - actual), 1e-5)
# diag
res = kernel(a, b).diag()
actual = actual.diag()
self.assertLess(torch.norm(res - actual), 1e-5)
# batch_dims
actual = torch.zeros(2, 3, 3)
for i in range(2):
actual[i] = kernel(a[:, i].unsqueeze(-1), b[:, i].unsqueeze(-1)).evaluate()
res = kernel(a, b, last_dim_is_batch=True).evaluate()
self.assertLess(torch.norm(res - actual), 1e-5)
# batch_dims + diag
res = kernel(a, b, last_dim_is_batch=True).diag()
actual = torch.cat([actual[i].diag().unsqueeze(0) for i in range(actual.size(0))])
self.assertLess(torch.norm(res - actual), 1e-5)
def test_computes_cubic_kernel(self):
a = torch.tensor([[4, 1], [2, 2], [8, 0]], dtype=torch.float)
b = torch.tensor([[0, 0], [2, 1], [1, 0]], dtype=torch.float)
kernel = PolynomialKernel(power=3)
kernel.eval()
actual = torch.zeros(3, 3)
for i in range(3):
for j in range(3):
actual[i, j] = (a[i].matmul(b[j]) + kernel.offset).pow(kernel.power)
res = kernel(a, b).evaluate()
self.assertLess(torch.norm(res - actual), 1e-5)
# diag
res = kernel(a, b).diag()
actual = actual.diag()
self.assertLess(torch.norm(res - actual), 1e-5)
# batch_dims
actual = torch.zeros(2, 3, 3)
for i in range(2):
actual[i] = kernel(a[:, i].unsqueeze(-1), b[:, i].unsqueeze(-1)).evaluate()
res = kernel(a, b, last_dim_is_batch=True).evaluate()
self.assertLess(torch.norm(res - actual), 1e-5)
# batch_dims + diag
res = kernel(a, b, last_dim_is_batch=True).diag()
actual = torch.cat([actual[i].diag().unsqueeze(0) for i in range(actual.size(0))])
self.assertLess(torch.norm(res - actual), 1e-5)
def test_quadratic_kernel_batch(self):
a = torch.tensor([[4, 2, 8], [1, 2, 3]], dtype=torch.float).view(2, 3, 1)
b = torch.tensor([[0, 2, 1], [-1, 2, 0]], dtype=torch.float).view(2, 3, 1)
kernel = PolynomialKernel(power=2, batch_shape=torch.Size([2])).initialize(offset=torch.rand(2, 1))
kernel.eval()
actual = torch.zeros(2, 3, 3)
for k in range(2):
for i in range(3):
for j in range(3):
actual[k, i, j] = (a[k, i].matmul(b[k, j]) + kernel.offset[k]).pow(kernel.power)
res = kernel(a, b).evaluate()
self.assertLess(torch.norm(res - actual), 1e-5)
def test_cubic_kernel_batch(self):
a = torch.tensor([[4, 2, 8], [1, 2, 3]], dtype=torch.float).view(2, 3, 1)
b = torch.tensor([[0, 2, 1], [-1, 2, 0]], dtype=torch.float).view(2, 3, 1)
kernel = PolynomialKernel(power=3, batch_shape=torch.Size([2])).initialize(offset=torch.rand(2, 1))
kernel.eval()
actual = torch.zeros(2, 3, 3)
for k in range(2):
for i in range(3):
for j in range(3):
actual[k, i, j] = (a[k, i].matmul(b[k, j]) + kernel.offset[k]).pow(kernel.power)
res = kernel(a, b).evaluate()
self.assertLess(torch.norm(res - actual), 1e-5)
def create_kernel_with_prior(self, offset_prior):
return self.create_kernel_no_ard(offset_prior=offset_prior)
def test_prior_type(self):
"""
Raising TypeError if prior type is other than gpytorch.priors.Prior
"""
self.create_kernel_with_prior(None)
self.create_kernel_with_prior(NormalPrior(0, 1))
self.assertRaises(TypeError, self.create_kernel_with_prior, 1)
if __name__ == "__main__":
unittest.main()
| 37.073171 | 107 | 0.582018 | 664 | 4,560 | 3.900602 | 0.13253 | 0.037838 | 0.03861 | 0.042471 | 0.774903 | 0.745946 | 0.745946 | 0.745946 | 0.745946 | 0.745946 | 0 | 0.038598 | 0.255702 | 4,560 | 122 | 108 | 37.377049 | 0.724514 | 0.03443 | 0 | 0.714286 | 0 | 0 | 0.001829 | 0 | 0 | 0 | 0 | 0 | 0.130952 | 1 | 0.083333 | false | 0 | 0.059524 | 0.02381 | 0.178571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
7288f5e981c21f6ba3e186c09e797e17068a1de6 | 147 | py | Python | tests/test_generate_data.py | zscore/lifetimes | ad5d08f67283433ab647e33ed71255d9255bf731 | [
"MIT"
] | 4 | 2018-04-16T15:46:58.000Z | 2021-02-17T00:17:54.000Z | tests/test_generate_data.py | zscore/lifetimes | ad5d08f67283433ab647e33ed71255d9255bf731 | [
"MIT"
] | 1 | 2021-09-08T11:04:27.000Z | 2021-09-08T11:04:27.000Z | tests/test_generate_data.py | zscore/lifetimes | ad5d08f67283433ab647e33ed71255d9255bf731 | [
"MIT"
] | 2 | 2019-12-17T03:23:47.000Z | 2021-09-08T09:32:44.000Z | import pytest
import pandas as pd
import numpy as np
import scipy.stats as stats
from lifetimes.generate_data import beta_geometric_nbd_model
| 14.7 | 60 | 0.829932 | 24 | 147 | 4.916667 | 0.708333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.156463 | 147 | 9 | 61 | 16.333333 | 0.951613 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
72cc7fd4343e4ee851e2ce5d97cfb997ed5da3ee | 96 | py | Python | venv/lib/python3.8/site-packages/numpy/typing/tests/data/pass/ufuncs.py | Retraces/UkraineBot | 3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71 | [
"MIT"
] | 2 | 2022-03-13T01:58:52.000Z | 2022-03-31T06:07:54.000Z | venv/lib/python3.8/site-packages/numpy/typing/tests/data/pass/ufuncs.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | 19 | 2021-11-20T04:09:18.000Z | 2022-03-23T15:05:55.000Z | venv/lib/python3.8/site-packages/numpy/typing/tests/data/pass/ufuncs.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | null | null | null | /home/runner/.cache/pip/pool/c4/6b/8a/baa3deb544d2e22a396031da922e676d846efb00b6f52194df6b735488 | 96 | 96 | 0.895833 | 9 | 96 | 9.555556 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.416667 | 0 | 96 | 1 | 96 | 96 | 0.479167 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
f449244af72b928131a12c0fce9ca1c2a84a4592 | 150 | py | Python | credentials.py | Koncealed/python-eth-texter | 0000947c86a3dc7778caea751290d54d3223f4ba | [
"MIT"
] | null | null | null | credentials.py | Koncealed/python-eth-texter | 0000947c86a3dc7778caea751290d54d3223f4ba | [
"MIT"
] | null | null | null | credentials.py | Koncealed/python-eth-texter | 0000947c86a3dc7778caea751290d54d3223f4ba | [
"MIT"
] | null | null | null | account_sid = "ACd10eb49b2bd0d718494da26646090e25"
auth_token = "e620df6c67af5f7fd8742b71cabf8f49"
my_cell = "+17186124059"
my_twilio = "+12014313585" | 37.5 | 50 | 0.833333 | 12 | 150 | 10.083333 | 0.916667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.438849 | 0.073333 | 150 | 4 | 51 | 37.5 | 0.431655 | 0 | 0 | 0 | 0 | 0 | 0.596026 | 0.437086 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
f449a011e95dfb45eb5b6e25ff5aa0aeb2880719 | 29 | py | Python | JanggiGame/SocketServer/channels/__init__.py | MohamedAl-Hussein/janggi-game | 0664a408563b824c0b665d755ff9b232b6f24644 | [
"MIT"
] | 1 | 2018-07-07T11:56:44.000Z | 2018-07-07T11:56:44.000Z | JanggiGame/SocketServer/channels/__init__.py | MohamedAl-Hussein/janggi-game | 0664a408563b824c0b665d755ff9b232b6f24644 | [
"MIT"
] | null | null | null | JanggiGame/SocketServer/channels/__init__.py | MohamedAl-Hussein/janggi-game | 0664a408563b824c0b665d755ff9b232b6f24644 | [
"MIT"
] | null | null | null | from .channel import Channel
| 14.5 | 28 | 0.827586 | 4 | 29 | 6 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.137931 | 29 | 1 | 29 | 29 | 0.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
be8275e57af6832180eaa42b9d4bfed85479a20f | 5,024 | py | Python | tests/Integration/GridSearch/test_base.py | nielsuit227/AutoML | 51e2076d52d76dc84a190293b5bb59da2833df89 | [
"MIT"
] | 2 | 2021-06-16T22:09:01.000Z | 2021-09-06T20:26:42.000Z | tests/Integration/GridSearch/test_base.py | nielsuit227/AutoML | 51e2076d52d76dc84a190293b5bb59da2833df89 | [
"MIT"
] | 1 | 2021-06-04T08:22:02.000Z | 2021-06-04T08:22:02.000Z | tests/Integration/GridSearch/test_base.py | nielsuit227/AutoML | 51e2076d52d76dc84a190293b5bb59da2833df89 | [
"MIT"
] | 1 | 2021-09-15T08:34:20.000Z | 2021-09-15T08:34:20.000Z | import unittest
import pandas as pd
from sklearn.model_selection import KFold
from sklearn.model_selection import StratifiedKFold
from sklearn.datasets import make_classification
from sklearn.datasets import make_regression
from Amplo.GridSearch import BaseGridSearch
from Amplo.AutoML import Modeller
class TestBaseGridSearch(unittest.TestCase):
@classmethod
def setUpClass(cls) -> None:
x, y = make_classification()
cls.cx = pd.DataFrame(x)
cls.cy = pd.Series(y)
x, y = make_regression()
cls.rx = pd.DataFrame(x)
cls.ry = pd.Series(y)
def test_small_regression(self):
models = Modeller(mode='regression', objective='r2', samples=100).return_models()
for model in models:
grid_search = BaseGridSearch(model,
cv=KFold(n_splits=3),
verbose=0,
timeout=10,
candidates=2,
scoring='r2')
results = grid_search.fit(self.rx, self.ry)
# Tests
assert isinstance(results, pd.DataFrame), 'Not a DF {}'.format(type(model).__name__)
assert all([x in results.keys() for x in ['worst_case', 'mean_objective', 'std_objective', 'params',
'mean_time', 'std_time']]), 'Keys missing {}'.format(type(model)
.__name__)
assert len(results) > 0, 'Empty results {}'.format(type(model).__name__)
def test_big_regression(self):
models = Modeller(mode='regression', objective='r2', samples=50000).return_models()
for model in models:
grid_search = BaseGridSearch(model,
cv=KFold(n_splits=3),
verbose=0,
timeout=10,
candidates=2,
scoring='r2')
results = grid_search.fit(self.rx, self.ry)
# Tests
assert isinstance(results, pd.DataFrame), 'Not a DF {}'.format(type(model).__name__)
assert all([x in results.keys() for x in ['worst_case', 'mean_objective', 'std_objective', 'params',
'mean_time', 'std_time']]), 'Keys missing {}'.format(type(model)
.__name__)
assert len(results) > 0, 'Empty results {}'.format(type(model).__name__)
def test_small_classification(self):
models = Modeller(mode='classification', objective='accuracy', samples=100).return_models()
for model in models:
grid_search = BaseGridSearch(model,
cv=StratifiedKFold(n_splits=3),
verbose=0,
timeout=10,
candidates=2,
scoring='accuracy')
results = grid_search.fit(self.cx, self.cy)
# Tests
assert isinstance(results, pd.DataFrame), 'Not a DF {}'.format(type(model).__name__)
assert all([x in results.keys() for x in ['worst_case', 'mean_objective', 'std_objective', 'params',
'mean_time', 'std_time']]), 'Keys missing {}'.format(type(model)
.__name__)
assert len(results) > 0, 'Empty results {}'.format(type(model).__name__)
def test_big_classification(self):
models = Modeller(mode='classification', objective='accuracy', samples=50000).return_models()
for model in models:
grid_search = BaseGridSearch(model,
cv=StratifiedKFold(n_splits=3),
verbose=0,
timeout=10,
candidates=2,
scoring='accuracy')
results = grid_search.fit(self.cx, self.cy)
# Tests
assert isinstance(results, pd.DataFrame), 'Not a DF {}'.format(type(model).__name__)
assert all([x in results.keys() for x in ['worst_case', 'mean_objective', 'std_objective', 'params',
'mean_time', 'std_time']]), 'Keys missing {}'.format(type(model)
.__name__)
assert len(results) > 0, 'Empty results {}'.format(type(model).__name__)
| 54.021505 | 118 | 0.468949 | 449 | 5,024 | 5.028953 | 0.191537 | 0.053144 | 0.079717 | 0.100974 | 0.855182 | 0.802037 | 0.802037 | 0.802037 | 0.802037 | 0.695748 | 0 | 0.015471 | 0.433917 | 5,024 | 92 | 119 | 54.608696 | 0.778481 | 0.004578 | 0 | 0.675325 | 0 | 0 | 0.099279 | 0 | 0 | 0 | 0 | 0 | 0.155844 | 1 | 0.064935 | false | 0 | 0.103896 | 0 | 0.181818 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
beb3bd3a7019f771c3be89a5156fa432a891c431 | 67 | py | Python | adclassifier/lemmatization.py | BoudhayanBanerjee/political-ad-classifier | e7b7bd76eadd4bde536862449e71370903d22114 | [
"MIT"
] | 2 | 2017-06-20T19:18:20.000Z | 2017-06-30T19:01:44.000Z | adclassifier/lemmatization.py | BoudhayanBanerjee/political-ad-classifier | e7b7bd76eadd4bde536862449e71370903d22114 | [
"MIT"
] | null | null | null | adclassifier/lemmatization.py | BoudhayanBanerjee/political-ad-classifier | e7b7bd76eadd4bde536862449e71370903d22114 | [
"MIT"
] | null | null | null | from nltk.stem import WordNetLemmatizer
# TODO
# implement wordnet | 16.75 | 39 | 0.820896 | 8 | 67 | 6.875 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.134328 | 67 | 4 | 40 | 16.75 | 0.948276 | 0.328358 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
fe3bd70c938de1276714b06aaad95cefbc3251dd | 229 | py | Python | astroquery/sdss/__init__.py | jdnc/astroquery | a89dcc5f4132bc2e9d72da1aa583dbc9e7e8216f | [
"BSD-3-Clause"
] | 1 | 2019-12-17T00:43:56.000Z | 2019-12-17T00:43:56.000Z | astroquery/sdss/__init__.py | jdnc/astroquery | a89dcc5f4132bc2e9d72da1aa583dbc9e7e8216f | [
"BSD-3-Clause"
] | null | null | null | astroquery/sdss/__init__.py | jdnc/astroquery | a89dcc5f4132bc2e9d72da1aa583dbc9e7e8216f | [
"BSD-3-Clause"
] | null | null | null | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
SDSS Spectra/Image/SpectralTemplate Archive Query Tool
-----------------------------------
:Author: Jordan Mirocha (mirochaj@gmail.com)
"""
from .core import *
| 25.444444 | 63 | 0.637555 | 27 | 229 | 5.407407 | 0.962963 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004975 | 0.122271 | 229 | 8 | 64 | 28.625 | 0.721393 | 0.868996 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
fe6faa6561dc2b2931ad6239a91df14192c38a68 | 15,761 | py | Python | app/test/test_listenbot.py | VikashKothary/market-information-service | 0ea241acc5a02fd7ecc5e499f130da2c518275b7 | [
"MIT"
] | null | null | null | app/test/test_listenbot.py | VikashKothary/market-information-service | 0ea241acc5a02fd7ecc5e499f130da2c518275b7 | [
"MIT"
] | null | null | null | app/test/test_listenbot.py | VikashKothary/market-information-service | 0ea241acc5a02fd7ecc5e499f130da2c518275b7 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
test_listenbot.py - Tests for listenbot.py
"""
from flask_testing import TestCase
from app import _create_app, _create_db, app
from listenbot import listenbot
from chatbot import chatbot
from models import User, Product
class TestListenbot(TestCase):
def create_app(self):
#app = _create_app(environment='testing')
app.register_blueprint(listenbot)
app.register_blueprint(chatbot)
return app
def setUp(self):
self.app = self.create_app()
with self.app.app_context():
self.db = _create_db(self.app)
self.client = self.app.test_client()
self.client.testing = True
with self.client.session_transaction() as sess:
sess['user_id'] = 'testing'
def tearDown(self):
with self.app.app_context():
self.db.session.remove()
testing_user = self.db.session.query(User).filter(User.user_id == 'testing')
if testing_user:
testing_user.delete()
self.db.session.commit()
self.db.drop_all()
def test_new_user(self):
# Yes to on board
speech = dict(SpeechResult='yes')
response = self.client.post('/new_user', data=speech)
self.assertEqual(response.status_code, 200)
expected = b'<Response><Redirect method="GET">/on_board</Redirect></Response>'
self.assertTrue(expected in response.data)
# No to on board
speech = dict(SpeechResult='no')
response = self.client.post('/new_user', data=speech)
self.assertEqual(response.status_code, 200)
expected = b'<Response><Redirect method="GET">/learn</Redirect></Response>'
self.assertTrue(expected in response.data)
# Other
response = self.client.post('/new_user')
self.assertEqual(response.status_code, 200)
expected = b'<Response><Say language="en" voice="alice">I don\'t understand. Can you say that again?</Say><Gather action="/new_user" hints="boolean" input="speech" /><Redirect method="GET">/new_user</Redirect></Response>'
self.assertTrue(expected in response.data)
response = self.client.get('/new_user')
self.assertEqual(response.status_code, 200)
self.assertTrue(expected in response.data)
def test_save_data(self):
new_user = User.query.get('testing')
self.assertEqual(new_user, None)
# No to save data
speech = dict(SpeechResult='no')
response = self.client.post('/save_data', data=speech)
self.assertEqual(response.status_code, 200)
expected = b'<Response><Redirect method="GET">/assumption</Redirect></Response>'
self.assertTrue(expected in response.data)
# Doesn't create user
new_user = User.query.get('testing')
self.assertEqual(new_user, None)
# Yes to save data
speech = dict(SpeechResult='yes')
response = self.client.post('/save_data', data=speech)
self.assertEqual(response.status_code, 200)
expected = b'<Response><Redirect method="GET">/learn/name</Redirect></Response>'
self.assertTrue(expected in response.data)
# Creates user in database
new_user = User.query.get('testing')
self.assertEqual(new_user.user_id, 'testing')
# Other
response = self.client.post('/save_data')
self.assertEqual(response.status_code, 200)
expected = b'<Response><Say language="en" voice="alice">I don\'t understand. Can you say that again?</Say><Gather action="/save_data" hints="boolean" input="speech" /><Redirect method="GET">/save_data</Redirect></Response>'
self.assertTrue(expected in response.data)
response = self.client.get('/save_data')
self.assertEqual(response.status_code, 200)
self.assertTrue(expected in response.data)
# User.query.filter_by(user_id='testing').delete()
# self.db.save()
def test_name(self):
new_user = User(id='testing')
self.db.save(new_user)
self.assertEqual(new_user.name, '')
# Yes to save data
speech = dict(SpeechResult='vikash')
response = self.client.post('/name', data=speech)
self.assertEqual(response.status_code, 200)
expected = b'<Response><Say language="en" voice="alice">Is your name vikash?</Say><Gather action="/confirm/name" hints="boolean" input="speech" /><Redirect method="GET">/confirm/name</Redirect></Response>'
self.assertTrue(expected in response.data)
# Saves user name
new_user = User.query.get('testing')
self.assertEqual(new_user.name, 'vikash')
# Other
response = self.client.post('/name')
self.assertEqual(response.status_code, 200)
expected = b'<Response><Say language="en" voice="alice">I don\'t understand. Can you say that again?</Say><Gather action="/name" input="speech" /><Redirect method="GET">/name</Redirect></Response>'
self.assertTrue(expected in response.data)
response = self.client.get('/name')
self.assertEqual(response.status_code, 200)
self.assertTrue(expected in response.data)
def test_location(self):
new_user = User(id='testing', name='vikash')
self.db.save(new_user)
self.assertEqual(new_user.location, '')
# Yes to save data
speech = dict(SpeechResult='kenya')
response = self.client.post('/location', data=speech)
self.assertEqual(response.status_code, 200)
expected = b'<Response><Say language="en" voice="alice">Are you from kenya?</Say><Gather action="/confirm/location" hints="boolean" input="speech" /><Redirect method="GET">/confirm/location</Redirect></Response>'
self.assertTrue(expected in response.data)
# Saves user location
new_user = User.query.get('testing')
self.assertEqual(new_user.location, 'kenya')
response = self.client.get('/location')
expected = b'<Response><Say language="en" voice="alice">I don\'t understand. Can you say that again?</Say><Gather action="/location" input="speech" /><Redirect method="GET">/location</Redirect></Response>'
self.assertEqual(response.status_code, 200)
self.assertTrue(expected in response.data)
response = self.client.post('/location')
self.assertEqual(response.status_code, 200)
self.assertTrue(expected in response.data)
def test_currency(self):
new_user = User('testing', 'vikash', 'kenya')
self.db.save(new_user)
self.assertEqual(new_user.currency, '')
# Yes to save data
speech = dict(SpeechResult='shilling')
response = self.client.post('/currency', data=speech)
self.assertEqual(response.status_code, 200)
expected = b'<Response><Say language="en" voice="alice">Is your currency shilling?</Say><Gather action="/confirm/currency" hints="boolean" input="speech" /><Redirect method="GET">/confirm/currency</Redirect></Response>'
self.assertTrue(expected in response.data)
# Saves user location
new_user = User.query.get('testing')
self.assertEqual(new_user.currency, 'shilling')
response = self.client.get('/currency')
expected = b'<Response><Say language="en" voice="alice">I don\'t understand. Can you say that again?</Say><Gather action="/currency" input="speech" /><Redirect method="GET">/currency</Redirect></Response>'
self.assertEqual(response.status_code, 200)
self.assertTrue(expected in response.data)
response = self.client.post('/currency')
self.assertEqual(response.status_code, 200)
self.assertTrue(expected in response.data)
def test_confirm_name(self):
new_user = User(id='testing', name='vikash')
self.db.save(new_user)
# Correct name
speech = dict(SpeechResult='yes')
response = self.client.post('/confirm/name', data=speech)
self.assertEqual(response.status_code, 200)
expected = b'<Response><Redirect method="GET">/learn/location</Redirect></Response>'
self.assertTrue(expected in response.data)
# Name is stored
keeps_name = User.query.get(new_user.user_id)
self.assertEqual(keeps_name.name, new_user.name)
# Incorrect name
speech = dict(SpeechResult='no')
response = self.client.post('/confirm/name', data=speech)
self.assertEqual(response.status_code, 200)
expected = b'<Response><Redirect method="GET">/learn/name</Redirect></Response>'
self.assertTrue(expected in response.data)
# Name is deleted
deletes_name = User.query.get(new_user.user_id)
self.assertEqual(deletes_name.name, '')
# Other
response = self.client.post('/confirm/name')
self.assertEqual(response.status_code, 200)
expected = b'<Response><Say language="en" voice="alice">I don\'t understand. Can you say that again?</Say><Gather action="/confirm/name" input="speech" /><Redirect method="GET">/confirm/name</Redirect></Response>'
self.assertTrue(expected in response.data)
response = self.client.get('/confirm/name')
self.assertEqual(response.status_code, 200)
self.assertTrue(expected in response.data)
def test_confirm_location(self):
new_user = User(id='testing', name='vikash', location='kenya')
self.db.save(new_user)
# Correct name
speech = dict(SpeechResult='yes')
response = self.client.post('/confirm/location', data=speech)
self.assertEqual(response.status_code, 200)
expected = b'<Response><Redirect method="GET">/learn/currency</Redirect></Response>'
self.assertTrue(expected in response.data)
# Name is stored
keeps_name = User.query.get(new_user.user_id)
self.assertEqual(keeps_name.location, new_user.location)
# Incorrect name
speech = dict(SpeechResult='no')
response = self.client.post('/confirm/location', data=speech)
self.assertEqual(response.status_code, 200)
expected = b'<Response><Redirect method="GET">/learn/location</Redirect></Response>'
self.assertTrue(expected in response.data)
# Name is deleted
deletes_name = User.query.get(new_user.user_id)
self.assertEqual(deletes_name.location, '')
# Other
response = self.client.post('/confirm/location')
expected = b'<Response><Say language="en" voice="alice">I don\'t understand. Can you say that again?</Say><Gather action="/confirm/location" input="speech" /><Redirect method="GET">/confirm/location</Redirect></Response>'
self.assertEqual(response.status_code, 200)
self.assertTrue(expected in response.data)
response = self.client.get('/confirm/location')
self.assertEqual(response.status_code, 200)
self.assertTrue(expected in response.data)
def test_confirm_currency(self):
new_user = User(id='testing', name='vikash', location='kenya', currency='shilling')
self.db.save(new_user)
# Correct name
speech = dict(SpeechResult='yes')
response = self.client.post('/confirm/currency', data=speech)
self.assertEqual(response.status_code, 200)
expected = b'<Response><Redirect method="GET">/assumption</Redirect></Response>'
self.assertTrue(expected in response.data)
# Name is stored
keeps_name = User.query.get(new_user.user_id)
self.assertEqual(keeps_name.currency, new_user.currency)
# Incorrect name
speech = dict(SpeechResult='no')
response = self.client.post('/confirm/currency', data=speech)
self.assertEqual(response.status_code, 200)
expected = b'<Response><Redirect method="GET">/learn/currency</Redirect></Response>'
self.assertTrue(expected in response.data)
# Name is deleted
deletes_name = User.query.get(new_user.user_id)
self.assertEqual(deletes_name.currency, '')
response = self.client.post('/confirm/currency')
self.assertEqual(response.status_code, 200)
expected = b'<Response><Say language="en" voice="alice">I don\'t understand. Can you say that again?</Say><Gather action="/confirm/currency" input="speech" /><Redirect method="GET">/confirm/currency</Redirect></Response>'
self.assertTrue(expected in response.data)
response = self.client.get('/confirm/currency')
self.assertEqual(response.status_code, 200)
self.assertTrue(expected in response.data)
def test_query(self):
known_user = User(id='testing', name='vikash', location='kenya', currency='shillings')
result_product = Product(name='Mango', quantity=1,
unit=Product.KG, price=200.00, location='Kenya', currency='GBP')
self.db.save(known_user)
self.db.save(result_product)
# Product Id and Yes
# speech = dict(SpeechResult='yes')
# response = self.client.post('/query/{}'.format(result_product.product_id), data=speech)
# self.assertEqual(response.status_code, 200)
# expected = b'<Response><Redirect method="GET">/result/100</Redirect></Response>'
# self.assertTrue(expected in response.data)
# Product Id and No
# speech = dict(SpeechResult='no')
# response = self.client.post('/query/{}'.format(result_product.product_id), data=speech)
# self.assertEqual(response.status_code, 200)
# expected = b'<Response><Redirect method="GET">/assumption</Redirect></Response>'
# self.assertTrue(expected in response.data)
speech = dict(SpeechResult='How much does it cost for 1 kg of mango')
response = self.client.post('/query', data=speech)
self.assertEqual(response.status_code, 200)
expected = b''
print(response.data)
self.assertTrue(expected in response.data)
response = self.client.post('/query')
self.assertEqual(response.status_code, 200)
expected = b'<Response><Say language="en" voice="alice">I don\'t understand. Can you say that again?</Say><Gather action="/query" input="speech" /><Redirect method="GET">/query</Redirect></Response>'
self.assertTrue(expected in response.data)
response = self.client.get('/query')
self.assertEqual(response.status_code, 200)
self.assertTrue(expected in response.data)
def test_done(self):
# Wants another query
speech = dict(SpeechResult='yes')
response = self.client.post('/done', data=speech)
self.assertEqual(response.status_code, 200)
expected = b'<Response><Redirect method="GET">/assumption</Redirect></Response>'
self.assertTrue(expected in response.data)
# Wants to end the call
speech = dict(SpeechResult='no')
response = self.client.post('/done', data=speech)
self.assertEqual(response.status_code, 200)
expected = b'<Response><Redirect method="GET">/end_call</Redirect></Response>'
self.assertTrue(expected in response.data)
response = self.client.post('/done')
self.assertEqual(response.status_code, 200)
expected = b'<Response><Say language="en" voice="alice">I don\'t understand. Can you say that again?</Say><Gather action="/done" input="speech" /><Redirect method="GET">/done</Redirect></Response>'
self.assertTrue(expected in response.data)
response = self.client.get('/done')
self.assertEqual(response.status_code, 200)
self.assertTrue(expected in response.data)
if __name__ == '__main__':
import unittest
unittest.main()
| 46.492625 | 231 | 0.656811 | 1,909 | 15,761 | 5.336826 | 0.075432 | 0.076561 | 0.067138 | 0.108166 | 0.863369 | 0.828426 | 0.80055 | 0.770907 | 0.727719 | 0.710836 | 0 | 0.009991 | 0.206205 | 15,761 | 338 | 232 | 46.630178 | 0.804332 | 0.079246 | 0 | 0.551282 | 0 | 0.029915 | 0.192143 | 0.055817 | 0 | 0 | 0 | 0 | 0.371795 | 1 | 0.055556 | false | 0 | 0.025641 | 0 | 0.089744 | 0.012821 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
fe79f9eeb566e8de50a96071c797b542f66d2cbf | 185 | py | Python | app/main.py | grostaco/CoreHDF | f3acf7792e99994a7c1f0a3be797ae873b04a0b6 | [
"MIT"
] | 1 | 2021-03-25T06:00:15.000Z | 2021-03-25T06:00:15.000Z | app/main.py | grostaco/CoreHDF | f3acf7792e99994a7c1f0a3be797ae873b04a0b6 | [
"MIT"
] | 3 | 2021-03-22T07:58:25.000Z | 2021-03-23T11:06:55.000Z | app/main.py | grostaco/CoreHDF | f3acf7792e99994a7c1f0a3be797ae873b04a0b6 | [
"MIT"
] | 2 | 2021-03-22T07:54:06.000Z | 2021-03-23T09:09:57.000Z | from fastapi import FastAPI
from .routers import users, token, query
app = FastAPI()
app.include_router(users.router)
app.include_router(token.router)
app.include_router(query.router) | 23.125 | 40 | 0.810811 | 27 | 185 | 5.444444 | 0.37037 | 0.204082 | 0.326531 | 0.29932 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.091892 | 185 | 8 | 41 | 23.125 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
fe9f5cd268240662d0d7a6753e58a7fbedecad4e | 121 | py | Python | webdriver/tests/conftest.py | meyerweb/wpt | f04261533819893c71289614c03434c06856c13e | [
"BSD-3-Clause"
] | 14,668 | 2015-01-01T01:57:10.000Z | 2022-03-31T23:33:32.000Z | webdriver/tests/conftest.py | meyerweb/wpt | f04261533819893c71289614c03434c06856c13e | [
"BSD-3-Clause"
] | 7,642 | 2018-05-28T09:38:03.000Z | 2022-03-31T20:55:48.000Z | webdriver/tests/conftest.py | meyerweb/wpt | f04261533819893c71289614c03434c06856c13e | [
"BSD-3-Clause"
] | 5,941 | 2015-01-02T11:32:21.000Z | 2022-03-31T16:35:46.000Z | pytest_plugins = (
"tests.support.fixtures",
"tests.support.fixtures_bidi",
"tests.support.fixtures_http",
)
| 20.166667 | 34 | 0.694215 | 13 | 121 | 6.230769 | 0.538462 | 0.444444 | 0.740741 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.157025 | 121 | 5 | 35 | 24.2 | 0.794118 | 0 | 0 | 0 | 0 | 0 | 0.628099 | 0.628099 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
22eb3cbd4a1b380a8e2b5e30bfe1896222eba35d | 36 | py | Python | je_editor/ui/ui_event/__init__.py | JE-Chen/je_editor | 2f18dedb6f0eb27c38668dc53f520739c8d5c6c6 | [
"MIT"
] | 1 | 2021-12-10T14:57:15.000Z | 2021-12-10T14:57:15.000Z | je_editor/ui/ui_event/__init__.py | JE-Chen/je_editor | 2f18dedb6f0eb27c38668dc53f520739c8d5c6c6 | [
"MIT"
] | null | null | null | je_editor/ui/ui_event/__init__.py | JE-Chen/je_editor | 2f18dedb6f0eb27c38668dc53f520739c8d5c6c6 | [
"MIT"
] | null | null | null | from je_editor.ui.ui_event import *
| 18 | 35 | 0.805556 | 7 | 36 | 3.857143 | 0.857143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 36 | 1 | 36 | 36 | 0.84375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
fe01189b5fae2dac74abeb17110d04071deb3c53 | 93 | py | Python | src/libs/__init__.py | Aofusa/minecraft-discord-bot | e2d93273c5d1acefbe2e47a4b31d557bdad0bc2d | [
"Apache-2.0"
] | null | null | null | src/libs/__init__.py | Aofusa/minecraft-discord-bot | e2d93273c5d1acefbe2e47a4b31d557bdad0bc2d | [
"Apache-2.0"
] | 1 | 2020-05-23T03:10:10.000Z | 2020-05-23T03:10:10.000Z | src/libs/__init__.py | Aofusa/minecraft-discord-bot | e2d93273c5d1acefbe2e47a4b31d557bdad0bc2d | [
"Apache-2.0"
] | null | null | null | from .utils import *
from .components import *
from .standup import *
from .shutdown import * | 23.25 | 25 | 0.752688 | 12 | 93 | 5.833333 | 0.5 | 0.428571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.16129 | 93 | 4 | 26 | 23.25 | 0.897436 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
a3c38d433aa3cb636772101e157fadc2990e2b28 | 2,154 | py | Python | data_roadmap/bash_prepare_sample_all.py | Hongyang449/Ocelot | 73932383e6d3863fd9fa4aada12488550ce98b45 | [
"MIT"
] | 5 | 2021-10-05T22:05:01.000Z | 2022-01-14T02:11:07.000Z | data_roadmap/bash_prepare_sample_all.py | Hongyang449/Ocelot | 73932383e6d3863fd9fa4aada12488550ce98b45 | [
"MIT"
] | null | null | null | data_roadmap/bash_prepare_sample_all.py | Hongyang449/Ocelot | 73932383e6d3863fd9fa4aada12488550ce98b45 | [
"MIT"
] | null | null | null | import os
import time
tier0=['H3K4me1','H3K4me3','H3K36me3','H3K27me3','H3K9me3']
tier1=['H3K27ac','H3K9ac','DNase']
tier2=['H3K4me2','H2A.Z','H3K79me2','H4K20me1']
tier3=['H2AK5ac','H2BK120ac','H2BK5ac','H3K18ac','H3K23ac',\
'H3K4ac','H3K79me1','H4K8ac','H2BK12ac','H3K14ac',\
'H4K91ac','H2BK15ac','H3K9me1','H2BK20ac','H3K56ac',\
'H4K5ac','H3K23me2','H2AK9ac','H3T11ph','H4K12ac']
tier4=['methyl','RNA-seq']
# for training
the_seed=0
path0='./bigwig_all/'
for the_assay in tier0+tier1+tier2+tier3+tier4[:1]:
for i in range(1,130):
the_cell='E%03d' % i
the_id = the_cell + '_' + the_assay
the_file=path0 + the_id + '.bigwig'
if os.path.isfile(the_file):
print('prepare sample: ' + the_file)
os.system('time python prepare_sample_all.py -i ' + the_id + ' -s ' + str(the_seed) + ' &')
time.sleep(60)
else:
print('empty entry: ' + the_file)
# one-hot DNA sequence
os.system('time python prepare_sample_dna.py -i A -s ' + str(the_seed) + ' &')
os.system('time python prepare_sample_dna.py -i C -s ' + str(the_seed) + ' &')
os.system('time python prepare_sample_dna.py -i G -s ' + str(the_seed) + ' &')
os.system('time python prepare_sample_dna.py -i T -s ' + str(the_seed) + ' &')
# for validation
the_seed=1
path0='./bigwig_all/'
for the_assay in tier0+tier1+tier2+tier3+tier4[:1]:
for i in range(1,130):
the_cell='E%03d' % i
the_id = the_cell + '_' + the_assay
the_file=path0 + the_id + '.bigwig'
if os.path.isfile(the_file):
print('prepare sample: ' + the_file)
os.system('time python prepare_sample_all.py -i ' + the_id + ' -s ' + str(the_seed) + ' &')
time.sleep(60)
else:
print('empty entry: ' + the_file)
# one-hot DNA sequence
os.system('time python prepare_sample_dna.py -i A -s ' + str(the_seed) + ' &')
os.system('time python prepare_sample_dna.py -i C -s ' + str(the_seed) + ' &')
os.system('time python prepare_sample_dna.py -i G -s ' + str(the_seed) + ' &')
os.system('time python prepare_sample_dna.py -i T -s ' + str(the_seed) + ' &')
| 36.508475 | 103 | 0.614206 | 317 | 2,154 | 3.990536 | 0.277603 | 0.066403 | 0.094862 | 0.142292 | 0.746245 | 0.746245 | 0.746245 | 0.746245 | 0.746245 | 0.746245 | 0 | 0.075758 | 0.203343 | 2,154 | 58 | 104 | 37.137931 | 0.661422 | 0.032033 | 0 | 0.727273 | 0 | 0 | 0.379211 | 0.101059 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.045455 | 0 | 0.045455 | 0.090909 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
a3cfd1a4138c73a09bf5536525017feefc05ab40 | 37 | py | Python | client-portal/apis/therapist/__init__.py | oakbani/ksdp-portal | 8f44b3cb0081a7f31b9c8121883dd51945a05520 | [
"MIT"
] | null | null | null | client-portal/apis/therapist/__init__.py | oakbani/ksdp-portal | 8f44b3cb0081a7f31b9c8121883dd51945a05520 | [
"MIT"
] | null | null | null | client-portal/apis/therapist/__init__.py | oakbani/ksdp-portal | 8f44b3cb0081a7f31b9c8121883dd51945a05520 | [
"MIT"
] | 1 | 2021-09-19T10:58:17.000Z | 2021-09-19T10:58:17.000Z | from .therapist import therapist_api
| 18.5 | 36 | 0.864865 | 5 | 37 | 6.2 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.108108 | 37 | 1 | 37 | 37 | 0.939394 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
a3f489080d6fe7f8758bdcc80a48591afdaaae19 | 38 | py | Python | w2020/w12/w12_14/test_study_id_obtain.py | abrance/mine | d4067bf6fb158ebaea3eb7a516ae372dcb8cf419 | [
"MIT"
] | null | null | null | w2020/w12/w12_14/test_study_id_obtain.py | abrance/mine | d4067bf6fb158ebaea3eb7a516ae372dcb8cf419 | [
"MIT"
] | null | null | null | w2020/w12/w12_14/test_study_id_obtain.py | abrance/mine | d4067bf6fb158ebaea3eb7a516ae372dcb8cf419 | [
"MIT"
] | null | null | null |
def test_study_id_obtain():
pass
| 9.5 | 27 | 0.710526 | 6 | 38 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.210526 | 38 | 3 | 28 | 12.666667 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | true | 0.5 | 0 | 0 | 0.5 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 |
4325113b825a9cefed4ac49604e1edf44683e2b8 | 27 | py | Python | wrapspawner/__init__.py | KrisztianPora/wrapspawner | 66518cb62f831035763bf02d394d5120a6682ac0 | [
"BSD-3-Clause"
] | 50 | 2016-09-23T15:57:56.000Z | 2022-03-04T22:27:12.000Z | wrapspawner/__init__.py | KrisztianPora/wrapspawner | 66518cb62f831035763bf02d394d5120a6682ac0 | [
"BSD-3-Clause"
] | 46 | 2016-09-21T21:52:28.000Z | 2022-03-04T23:36:26.000Z | wrapspawner/__init__.py | KrisztianPora/wrapspawner | 66518cb62f831035763bf02d394d5120a6682ac0 | [
"BSD-3-Clause"
] | 54 | 2016-10-25T18:53:56.000Z | 2022-03-11T22:48:41.000Z | from .wrapspawner import *
| 13.5 | 26 | 0.777778 | 3 | 27 | 7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.148148 | 27 | 1 | 27 | 27 | 0.913043 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
4330fa36b0846f55827247c5da6df5fb763e05f3 | 123 | py | Python | {{cookiecutter.company_name}}-cli/test/conftest.py | farooq-teqniqly/cli-cookiecutter | e9a8262d5f11d6bfc313e906fad4e683950e52c3 | [
"MIT"
] | 5 | 2021-12-14T08:32:39.000Z | 2022-03-17T11:02:25.000Z | tests/conftest.py | iamgodot/py-tldr | 9bd4be89d1806770c2a8060d76bbad6b51da6b9d | [
"MIT"
] | null | null | null | tests/conftest.py | iamgodot/py-tldr | 9bd4be89d1806770c2a8060d76bbad6b51da6b9d | [
"MIT"
] | null | null | null | import pytest
from click.testing import CliRunner
@pytest.fixture(scope="function")
def runner():
return CliRunner()
| 15.375 | 35 | 0.756098 | 15 | 123 | 6.2 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.138211 | 123 | 7 | 36 | 17.571429 | 0.877358 | 0 | 0 | 0 | 0 | 0 | 0.065041 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | true | 0 | 0.4 | 0.2 | 0.8 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 6 |
4a3bfd9e44fe6141dfe2bc77bb10cb0010779e1c | 8,421 | py | Python | scattering.py | yano404/A5tools | a318b6d529b8de0f780d0682b7e0051989f9587a | [
"MIT"
] | null | null | null | scattering.py | yano404/A5tools | a318b6d529b8de0f780d0682b7e0051989f9587a | [
"MIT"
] | null | null | null | scattering.py | yano404/A5tools | a318b6d529b8de0f780d0682b7e0051989f9587a | [
"MIT"
] | null | null | null | """
functions to find theoretical value of differential cross-section
"""
import numpy as np
import uncertainties
from uncertainties import umath
import uncertainties.unumpy as unp
from .constants import *
from . import cm2lab
from . import lab2cm
def rutherford(theta, T, Zi, Zt, which="inc"):
"""
Rutherford Scattering in the center-of-mass system
Arguments
---------
theta : scattering angle in the center-of-mass system
T : kinetic energy of incident particle in the center-of-mass system
Zi : atomic number of incident particle; charge in units of e
Zt : atomic number of target particle; charge in units of e
which : if which="inc", calc dσ/dΩ(θ) of incident particle.
if which="tar", calc dσ/dΩ(θ) of target particle.
if which="sum", calc dσ/dΩ(θ) of incident particle + dσ/dΩ(θ) of target particle.
Return
------
dσ/dΩ(θ) in the center-of-mass system [mb/str]
"""
# dσ/dΩ[mb/str]
# 10.0 : fm^2 --> mb
if which == "inc":
# incident particle
if isinstance(theta, uncertainties.core.AffineScalarFunc):
return 10.0 * (Zi * Zt * E2 / (4.0 * T))**2.0 * umath.pow(umath.sin(theta / 2.0), -4.0)
elif isinstance(theta, np.ndarray) and isinstance(theta[0], uncertainties.core.AffineScalarFunc):
return 10.0 * (Zi * Zt * E2 / (4.0 * T))**2.0 * unp.pow(unp.sin(theta / 2.0), -4.0)
else:
return 10.0 * (Zi * Zt * E2 / (4.0 * T))**2.0 * np.power(np.sin(theta / 2.0), -4.0)
elif which == "tar":
# target particle
if isinstance(theta, uncertainties.core.AffineScalarFunc):
return 10.0 * (Zi * Zt * E2 / (4.0 * T))**2.0 * umath.pow(umath.cos(theta / 2.0), -4.0)
elif isinstance(theta, np.ndarray) and isinstance(theta[0], uncertainties.core.AffineScalarFunc):
return 10.0 * (Zi * Zt * E2 / (4.0 * T))**2.0 * unp.pow(unp.cos(theta / 2.0), -4.0)
else:
return 10.0 * (Zi * Zt * E2 / (4.0 * T))**2.0 * np.power(np.cos(theta / 2.0), -4.0)
elif which == "sum":
# incident particle + target particle
if isinstance(theta, uncertainties.core.AffineScalarFunc):
return 10.0 * (Zi * Zt * E2 / (4.0 * T))**2.0 \
* (umath.pow(umath.sin(theta / 2.0), -4.0) + umath.pow(umath.cos(theta / 2.0), -4.0))
elif isinstance(theta, np.ndarray) and isinstance(theta[0], uncertainties.core.AffineScalarFunc):
return 10.0 * (Zi * Zt * E2 / (4.0 * T))**2.0 \
* (unp.pow(unp.sin(theta / 2.0), -4.0) + unp.power(unp.cos(theta / 2.0), -4.0))
else:
return 10.0 * (Zi * Zt * E2 / (4.0 * T))**2.0 \
* (np.power(np.sin(theta / 2.0), -4.0) + np.power(np.cos(theta / 2.0), -4.0))
else:
raise ValueError(
f"Unrecognized which option:{which}. which must be inc/tar/sum.")
def rutherford_lab(theta, T, Zi, Ai, Zt, At, which="inc"):
"""
Rutherford Scattering in the lab system
Arguments
---------
theta : scattering angle in the lab system
T : kinetic energy of incident particle in the lab system
Zi : atomic number of incident particle; charge in units of e
Ai : mass number of incident particle
Zt : atomic number of target particle; charge in units of e
At : mass number of target particle
which : if which="inc", calc dσ/dΩ(θ) of incident particle.
if which="tar", calc dσ/dΩ(θ) of target particle.
if which="sum", calc dσ/dΩ(θ) of incident particle + dσ/dΩ(θ) of target particle.
Return
------
dσ/dΩ(θ) in the center-of-mass system [mb/str]
"""
# kinetic energy in the center-of-mass system
Tcm = lab2cm.kinetic_energy(T, Ai, At)
if which == "inc":
# incident particle
n = At / Ai
# theta_lab to theta_cm
theta_cm = lab2cm.theta(theta, n)
# dΩcm/dΩlab
dOcm_dOlab = cm2lab.dOmega(theta_cm, n)
# dσ/dΩ(θ) in the lab system [mb/str]
# dΩcm/dΩlab * dσ/dΩcm
return dOcm_dOlab * rutherford(theta_cm, Tcm, Zi, Zt, which="inc")
elif which == "tar":
# target particle
n = 1.0
# theta_lab to theta_cm
theta_cm = lab2cm.theta(theta, n)
# dΩcm/dΩlab
dOcm_dOlab = cm2lab.dOmega(theta_cm, n)
# dσ/dΩ(θ) in the lab system [mb/str]
# dΩcm/dΩlab * dσ/dΩcm
return dOcm_dOlab * rutherford(theta_cm, Tcm, Zi, Zt, which="tar")
elif which == "sum":
# incident particle + target particle
ni = At / Ai
nt = 1.0
# theta_lab to theta_cm
theta_cmi = lab2cm.theta(theta, ni)
theta_cmt = lab2cm.theta(theta, nt)
# dΩcm/dΩlab
dOcm_dOlabi = cm2lab.dOmega(theta_cmi, ni)
dOcm_dOlabt = cm2lab.dOmega(theta_cmt, nt)
# dσ/dΩ(θ) in the lab system [mb/str]
# dΩcm/dΩlab * dσ/dΩcm
dsi = dOcm_dOlabi * rutherford(theta_cmi, Tcm, Zi, Zt, which="inc")
dst = dOcm_dOlabt * rutherford(theta_cmt, Tcm, Zi, Zt, which="tar")
return dsi + dst
else:
raise ValueError(
f"Unrecognized which option:{which}. which must be inc/tar/sum.")
def mott(theta, T, Z, A, S):
"""
Mott Scattering in the center-of-mass system
Arguments
---------
theta : scattering angle in the center-of-mass system
T : kinetic energy of incident particle in the center-of-mass system
Z : atomic number; charge in units of e
A : mass number
S : spin
Return
------
dσ/dΩ(θ) in the center-of-mass system [mb/str]
"""
# rest energy
mc2 = A * AMU
# total energy of incident/target particle in the center-of-mass system
Ecm = (T + 2.0 * mc2) / 2.0
# gamma (= gamma_cm in this situattion)
gamma = Ecm / mc2
# beta (= beta_cm in this situattion)
beta = np.sqrt(1.0 - 1.0 / gamma**2.0)
# relative beta in the center-of-mass system
brel = 2.0 * beta / (1.0 + beta**2.0)
# dσ/dΩ[mb/str]
# 10.0 : fm^2 --> mb
if isinstance(theta, uncertainties.core.AffineScalarFunc):
return 10.0 * (Z**2 * E2 / (4.0 * T))**2.0 * (
umath.pow(umath.sin(theta / 2.0), -4.0)
+ umath.pow(umath.cos(theta / 2.0), -4.0)
+ (-1.0)**(2.0 * S) * 2.0 / (2.0 * S + 1.0) *
umath.pow(umath.sin(theta / 2.0), -2.0) *
umath.pow(umath.cos(theta / 2.0), -2.0) *
umath.cos(Z**2.0 * E2 / (HBARC * brel) *
umath.log(umath.pow(umath.tan(theta / 2.0), 2.0))
)
)
elif isinstance(theta, np.ndarray) and isinstance(theta[0], uncertainties.core.AffineScalarFunc):
return 10.0 * (Z**2 * E2 / (4.0 * T))**2.0 * (
unp.pow(unp.sin(theta / 2.0), -4.0)
+ unp.pow(unp.cos(theta / 2.0), -4.0)
+ (-1.0)**(2.0 * S) * 2.0 / (2.0 * S + 1.0) *
unp.pow(unp.sin(theta / 2.0), -2.0) *
unp.pow(unp.cos(theta / 2.0), -2.0) *
unp.cos(Z**2.0 * E2 / (HBARC * brel) *
unp.log(unp.pow(unp.tan(theta / 2.0), 2.0))
)
)
else:
return 10.0 * (Z**2 * E2 / (4.0 * T))**2.0 * (
np.power(np.sin(theta / 2.0), -4.0)
+ np.power(np.cos(theta / 2.0), -4.0)
+ (-1.0)**(2.0 * S) * 2.0 / (2.0 * S + 1.0) *
np.power(np.sin(theta / 2.0), -2.0) *
np.power(np.cos(theta / 2.0), -2.0) *
np.cos(Z**2.0 * E2 / (HBARC * brel) *
np.log(np.power(np.tan(theta / 2.0), 2.0))
)
)
def mott_lab(theta, T, Z, A, S):
"""
Mott Scattering in the lab system
Arguments
---------
theta : scattering angle in the lab system
T : kinetic energy of incident particle in the lab system
Z : atomic number; charge in units of e
A : mass number
S : spin
Return
------
dσ/dΩ(θ) in the lab system [mb/str]
"""
# At/Ai = A/A = 1.0
n = 1.0
# theta_lab to theta_cm
theta_cm = lab2cm.theta(theta, n)
# kinetic energy in the center-of-mass system
Tcm = lab2cm.kinetic_energy(T, A, A)
# dΩcm/dΩlab
dOcm_dOlab = cm2lab.dOmega(theta_cm, n)
# dσ/dΩ(θ) in the lab system [mb/str]
# dΩcm/dΩlab * dσ/dΩcm
return dOcm_dOlab * mott(theta_cm, Tcm, Z, A, S)
| 38.452055 | 105 | 0.548866 | 1,293 | 8,421 | 3.54447 | 0.093581 | 0.028366 | 0.041239 | 0.03142 | 0.828497 | 0.804277 | 0.780275 | 0.745145 | 0.726598 | 0.699978 | 0 | 0.05073 | 0.300083 | 8,421 | 218 | 106 | 38.62844 | 0.726841 | 0.332265 | 0 | 0.390476 | 0 | 0 | 0.029599 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038095 | false | 0 | 0.066667 | 0 | 0.257143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
4a6147a45c42e12a26ac99ca5a846f149d0662fb | 2,111 | py | Python | epytope/Data/pssms/tepitopepan/mat/DRB1_0716_9.py | christopher-mohr/epytope | 8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd | [
"BSD-3-Clause"
] | 7 | 2021-02-01T18:11:28.000Z | 2022-01-31T19:14:07.000Z | epytope/Data/pssms/tepitopepan/mat/DRB1_0716_9.py | christopher-mohr/epytope | 8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd | [
"BSD-3-Clause"
] | 22 | 2021-01-02T15:25:23.000Z | 2022-03-14T11:32:53.000Z | epytope/Data/pssms/tepitopepan/mat/DRB1_0716_9.py | christopher-mohr/epytope | 8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd | [
"BSD-3-Clause"
] | 4 | 2021-05-28T08:50:38.000Z | 2022-03-14T11:45:32.000Z | DRB1_0716_9 = {0: {'A': -999.0, 'E': -999.0, 'D': -999.0, 'G': -999.0, 'F': -0.004754, 'I': -0.99525, 'H': -999.0, 'K': -999.0, 'M': -0.99525, 'L': -0.99525, 'N': -999.0, 'Q': -999.0, 'P': -999.0, 'S': -999.0, 'R': -999.0, 'T': -999.0, 'W': -0.004754, 'V': -0.99525, 'Y': -0.004754}, 1: {'A': 0.0, 'E': 0.1, 'D': -1.3, 'G': 0.5, 'F': 0.8, 'I': 1.1, 'H': 0.8, 'K': 1.1, 'M': 1.1, 'L': 1.0, 'N': 0.8, 'Q': 1.2, 'P': -0.5, 'S': -0.3, 'R': 2.2, 'T': 0.0, 'W': -0.1, 'V': 2.1, 'Y': 0.9}, 2: {'A': 0.0, 'E': -1.2, 'D': -1.3, 'G': 0.2, 'F': 0.8, 'I': 1.5, 'H': 0.2, 'K': 0.0, 'M': 1.4, 'L': 1.0, 'N': 0.5, 'Q': 0.0, 'P': 0.3, 'S': 0.2, 'R': 0.7, 'T': 0.0, 'W': 0.0, 'V': 0.5, 'Y': 0.8}, 3: {'A': 0.0, 'E': -1.4, 'D': -1.6001, 'G': -1.1002, 'F': 0.19972, 'I': 1.1001, 'H': 0.09944, 'K': -1.3001, 'M': -0.3992, 'L': -0.79944, 'N': -1.1002, 'Q': -1.4997, 'P': -1.2001, 'S': 1.4992, 'R': -1.1002, 'T': 1.3995, 'W': -1.1001, 'V': 0.90005, 'Y': -0.89987}, 4: {'A': 0.0, 'E': 0.0, 'D': 0.0, 'G': 0.0, 'F': 0.0, 'I': 0.0, 'H': 0.0, 'K': 0.0, 'M': 0.0, 'L': 0.0, 'N': 0.0, 'Q': 0.0, 'P': 0.0, 'S': 0.0, 'R': 0.0, 'T': 0.0, 'W': 0.0, 'V': 0.0, 'Y': 0.0}, 5: {'A': 0.0, 'E': -2.4996, 'D': -2.4998, 'G': -0.59982, 'F': -0.80139, 'I': -0.50109, 'H': -0.80115, 'K': -1.1006, 'M': -0.80103, 'L': -0.90071, 'N': -0.60033, 'Q': -1.1005, 'P': -0.49933, 'S': 0.5987, 'R': -1.1004, 'T': -0.080654, 'W': -0.90147, 'V': 0.09895, 'Y': -1.0009}, 6: {'A': 0.0, 'E': 0.86672, 'D': -1.3112, 'G': -0.011139, 'F': 2.069, 'I': 2.3665, 'H': 0.88412, 'K': 0.48763, 'M': 1.7789, 'L': 2.1749, 'N': 1.3742, 'Q': 1.0784, 'P': -0.20788, 'S': 0.38292, 'R': 0.69107, 'T': 0.87113, 'W': 1.3762, 'V': 1.5723, 'Y': 1.6726}, 7: {'A': 0.0, 'E': 0.0, 'D': 0.0, 'G': 0.0, 'F': 0.0, 'I': 0.0, 'H': 0.0, 'K': 0.0, 'M': 0.0, 'L': 0.0, 'N': 0.0, 'Q': 0.0, 'P': 0.0, 'S': 0.0, 'R': 0.0, 'T': 0.0, 'W': 0.0, 'V': 0.0, 'Y': 0.0}, 8: {'A': 0.0, 'E': -0.30004, 'D': -1.2, 'G': -0.6, 'F': 2.0999, 'I': 3.3999, 'H': -0.20002, 'K': -1.1, 'M': 2.0, 'L': 3.3999, 'N': -0.50002, 'Q': -0.90002, 'P': -0.60001, 'S': -0.3, 'R': -0.8, 'T': 0.39999, 'W': 0.79995, 'V': 2.0, 'Y': 1.1}} | 2,111 | 2,111 | 0.383231 | 525 | 2,111 | 1.537143 | 0.177143 | 0.121437 | 0.02974 | 0.039653 | 0.231722 | 0.151177 | 0.151177 | 0.151177 | 0.141264 | 0.141264 | 0 | 0.359864 | 0.166746 | 2,111 | 1 | 2,111 | 2,111 | 0.09892 | 0 | 0 | 0 | 0 | 0 | 0.080966 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
4a78d2e36a7f7aff5f16e9c3e96b007791241774 | 168 | py | Python | Code Examples/Feb12Conditionals.py | bensk/cs11 | 58658bc308be61167324a7f051b03497440f7e7f | [
"MIT"
] | null | null | null | Code Examples/Feb12Conditionals.py | bensk/cs11 | 58658bc308be61167324a7f051b03497440f7e7f | [
"MIT"
] | null | null | null | Code Examples/Feb12Conditionals.py | bensk/cs11 | 58658bc308be61167324a7f051b03497440f7e7f | [
"MIT"
] | null | null | null | # Which string prints?
if 5<2:
print "I am right"
else:
print "I am wrong"
# Which string prints?
if 5>2:
print "I am wrong"
else:
print "I am right"
| 12.923077 | 22 | 0.607143 | 30 | 168 | 3.4 | 0.4 | 0.235294 | 0.313725 | 0.372549 | 0.568627 | 0.568627 | 0.568627 | 0.568627 | 0.568627 | 0 | 0 | 0.033333 | 0.285714 | 168 | 12 | 23 | 14 | 0.816667 | 0.244048 | 0 | 0.75 | 0 | 0 | 0.325203 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.5 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 |
4a9461f20ffda6e12bd15f2ef9cc64000f8a68f1 | 134 | py | Python | h/api/__init__.py | gergely-ujvari/h | e77fc33dbabdb7e399ff78b584eb2050c71eddab | [
"MIT"
] | null | null | null | h/api/__init__.py | gergely-ujvari/h | e77fc33dbabdb7e399ff78b584eb2050c71eddab | [
"MIT"
] | null | null | null | h/api/__init__.py | gergely-ujvari/h | e77fc33dbabdb7e399ff78b584eb2050c71eddab | [
"MIT"
] | null | null | null | def includeme(config):
"""Include the annotator-store API."""
config.include('h.api.store')
config.include('h.api.token')
| 26.8 | 42 | 0.664179 | 18 | 134 | 4.944444 | 0.555556 | 0.438202 | 0.314607 | 0.382022 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.149254 | 134 | 4 | 43 | 33.5 | 0.780702 | 0.238806 | 0 | 0 | 0 | 0 | 0.229167 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
4a94b443bb248cc95e3874edd3ae74bf2492e052 | 22,940 | bzl | Python | prometheus/internal/defaults.bzl | 5h4d0w4rt/bazel_prometheus | 69553b8837b7cdde79a5327d33fd757c0d1fbd9d | [
"MIT"
] | null | null | null | prometheus/internal/defaults.bzl | 5h4d0w4rt/bazel_prometheus | 69553b8837b7cdde79a5327d33fd757c0d1fbd9d | [
"MIT"
] | null | null | null | prometheus/internal/defaults.bzl | 5h4d0w4rt/bazel_prometheus | 69553b8837b7cdde79a5327d33fd757c0d1fbd9d | [
"MIT"
] | null | null | null | load(
"@io_bazel_rules_prometheus//prometheus/internal:providers.bzl",
"AlertmanagerBinaryInfo",
"PrometheusBinaryInfo",
"PrometheusPackageInfo",
"PrometheusPlatformInfo",
"PrometheusPlatformsInfo",
)
_DEFAULT_LIST_OF_PLATFORMS = (
"darwin-amd64",
"darwin-arm64",
"dragonfly-amd64",
"freebsd-386",
"freebsd-amd64",
"freebsd-arm64",
"freebsd-armv6",
"freebsd-armv7",
"illumos-amd64",
"linux-386",
"linux-amd64",
"linux-arm64",
"linux-armv5",
"linux-armv6",
"linux-armv7",
"linux-mips",
"linux-mips64",
"linux-mips64le",
"linux-mipsle",
"linux-ppc64",
"linux-ppc64le",
"linux-s390x",
"netbsd-386",
"netbsd-amd64",
"netbsd-arm64",
"netbsd-armv6",
"netbsd-armv7",
"openbsd-386",
"openbsd-amd64",
"openbsd-arm64",
"openbsd-armv7",
"windows-386",
"windows-amd64",
)
OsConstraintsInfo = struct(
darwin = "@platforms//os:osx",
freebsd = "@platforms//os:freebsd",
dragonfly = "@platforms//os:freebsd",
linux = "@platforms//os:linux",
windows = "@platforms//os:windows",
netbsd = "@platforms//os:freebsd",
openbsd = "@platforms//os:openbsd",
illumos = "@platforms//os:openbsd",
)
CpuConstraintsInfo = struct(
amd64 = "@platforms//cpu:x86_64",
arm = "@platforms//cpu:arm",
arm64 = "@platforms//cpu:arm64",
armv5 = "@platforms//cpu:arm",
armv6 = "@platforms//cpu:arm",
armv7 = "@platforms//cpu:armv7",
mips64 = "@platforms//cpu:mips64",
mips64le = "@platforms//cpu:mips64",
ppc64 = "@platforms//cpu:x86_32",
ppc64le = "@platforms//cpu:ppc",
s390x = "@platforms//cpu:s390x",
mips = "@platforms//cpu:x86_32",
mipsle = "@platforms//cpu:x86_32",
# because you can't pass integer as keyword in python
**{"386": "@platforms//cpu:x86_32"}
)
DEFAULT_PLATFORMS = PrometheusPlatformsInfo(
available_platforms = _DEFAULT_LIST_OF_PLATFORMS,
platforms = struct(**{
platform: PrometheusPlatformInfo(
os = platform.partition("-")[0],
cpu = platform.partition("-")[-1],
cpu_constraints = [
getattr(CpuConstraintsInfo, platform.partition("-")[-1]),
],
os_constraints = [
getattr(OsConstraintsInfo, platform.partition("-")[0]),
],
)
for platform in _DEFAULT_LIST_OF_PLATFORMS
}),
)
_DEFAULT_PROMETHEUS_VERSION = "2.30.3"
_DEFAULT_AVAILABLE_PROMETHEUS_BINARIES = {
("2.28.1", "darwin-amd64"): "3941b102a06ebae9bcfa52d07b84825543f529c1e308f2bd66c6ad55cd4d25a4",
("2.28.1", "darwin-arm64"): "1c39922ef27835cf1c68658a20cdfd0323f61ed1efe9424cc1643020bd990a1e",
("2.28.1", "dragonfly-amd64"): "cd9d87f861909cfc358324163ecedf030665d89f071b0a973072722bee2fa762",
("2.28.1", "freebsd-386"): "746477a3723438d91c123a2dbfb4a4690b6cc2883b7747af43ab70b5abd3067e",
("2.28.1", "freebsd-amd64"): "632843a2ff187f955b2c3d3b905375eb461561834a3a3a03faffd74ba56a332b",
("2.28.1", "freebsd-arm64"): "e953a02dfa60dc0035645eed24f8c9103dca2c43e204fd5b905f32926588763c",
("2.28.1", "freebsd-armv6"): "dca05a532e94d2eae847a9db40fe1bfe3542905a0795936b17ac00dac95d371c",
("2.28.1", "freebsd-armv7"): "a8bc3a565e57719aefd5eea9ce6666fec329858bcda0f7ebc71532f58cb8f122",
("2.28.1", "illumos-amd64"): "52381975a967db432fadfcf869e6345aa1a34bbe8892cdebcc00771f3856a11d",
("2.28.1", "linux-386"): "df70438c909f3bd7d26ae2b38dc6f1782bfa54cd4b99d4f01a1f39171426c60c",
("2.28.1", "linux-amd64"): "91dd91e13f30fe520e01175ca1027dd09a458d4421a584ba557ba88b38803f27",
("2.28.1", "linux-arm64"): "298e5e32cc2d106f4d886548a535e787871650095fe87b1e8b29f83cbcbddbd1",
("2.28.1", "linux-armv5"): "a249704d67d6271894a932fd5c6e91f543549b41acbf8b90acb170de357c0396",
("2.28.1", "linux-armv6"): "25456957df9bcfdd54a04cef58689a5cc5ce51ddefc661f59a42e656b5b158f2",
("2.28.1", "linux-armv7"): "0ee31e4ee719680143887911dc15e9108ac595fe4345cb1bb959aad5f0281b1a",
("2.28.1", "linux-mips"): "8039a41bf80c003a04e927dd1ea974b6f25837a1871ee0a5533269acda1b4e57",
("2.28.1", "linux-mips64"): "16f64bc7c9138964a6ce14da2bbe3a6ec19d01c4c6b24d7977d22d5d0c2a6d4e",
("2.28.1", "linux-mips64le"): "87845a55567555c39058bd8b7f0377e08ee008b59c8cca1ccd84d2b8770d3ff2",
("2.28.1", "linux-mipsle"): "8b36ea48fa4e263fe9f4060ec6105ac3285613c047fad04d5b9c0229b1c83493",
("2.28.1", "linux-ppc64"): "b4187b1becc445b17fde05443f737033af3210ae57d1b7921e09350438173454",
("2.28.1", "linux-ppc64le"): "1a9c06b997a6698f8b4d1e71df11078eb5dfcd8348bfff8660f3061f26be013f",
("2.28.1", "linux-s390x"): "dd75c1cdf01ce7bfde341a7db1cc1b76a16008aaed7522fba08a073270c2b1fa",
("2.28.1", "netbsd-386"): "ba7d5adedc068ef0752e385f6b20a82e2479f0cc9eaef4121ef362953df8ad97",
("2.28.1", "netbsd-amd64"): "0f57c6f98b103745e3a80d589e8da5b967f6fea473b6ad5685fb5bc84dec5439",
("2.28.1", "netbsd-arm64"): "86b50ddff15e316b24553ad236a712feded8a6eba2df6bb0df96255d53acf507",
("2.28.1", "netbsd-armv6"): "07bc88f662a5e206b736305fb486fde88895b37a6edcd31a7e0bab46005a97eb",
("2.28.1", "netbsd-armv7"): "3f3c677333db8599117fbdf62e773506859553331a66a62eb956ae31410be917",
("2.28.1", "openbsd-386"): "47a458b300209b5971a342ecd4efc06c06eb55d63dc3b4e12529cc2d81af7a61",
("2.28.1", "openbsd-amd64"): "d7d62a3851069087deebacc3ef0e7f6c58f7c4bbaeb2f02848622a06665703ce",
("2.28.1", "openbsd-arm64"): "23e506d00de16fd9904dd38ed9085f64bc3dee2419674785901b89b59b3a0b05",
("2.28.1", "openbsd-armv7"): "79bb4b7ec88a9d85654ea334f352a826c046732a6729cb7616921e654aceae61",
("2.28.1", "windows-386"): "b8277b3a58faf22ec5d385fbc888b64ab934911d36eea57fe4fe5cce5b2461f3",
("2.28.1", "windows-amd64"): "c81cf1e677247263bdbd7158efb8b00afbd1bc7ae155eb86af5cfe90abdb2969",
("2.29.2", "darwin-amd64"): "810a94974be44f92d6c3ba1b7604513ef0a2c1a159bd10afc50da25370813302",
("2.29.2", "darwin-arm64"): "fc42d62c6b2cb486a14767465c46d72e436ae795be620d01813f20772a264324",
("2.29.2", "dragonfly-amd64"): "bb2f52e6d1bd4035679b51b3e1cd02b067cccb867fd596f667f6bd62fcb4bee3",
("2.29.2", "freebsd-386"): "fc273ea7e3d8e6ff3f5806ccd2be9c6d07ae615d0ccb43c3272d07f4b2603355",
("2.29.2", "freebsd-amd64"): "6a7adf4add15233972b61486f4366036c1f0539d553782fbc3ffbdb15d55a1de",
("2.29.2", "freebsd-arm64"): "aa9031cfa0ec88d895e9003a6d2ce8d041bc24b24fb054b865b2d1c8bc791f6e",
("2.29.2", "freebsd-armv6"): "9882dbd7f7adf6521e5b90408c1a9fede4ad09b3fee01dea6faf9ca5350de2e4",
("2.29.2", "freebsd-armv7"): "32468c0800baef58807f7b151c7572fee876bbe296302e20ea08a0333055cffe",
("2.29.2", "illumos-amd64"): "b171568308d8aa73d6438886fe1de197ac3f0bae2874e09a833941d96b65435a",
("2.29.2", "linux-386"): "7a19cb2e1d70d60857029ff793de375b1d04ffd270d59d82d5dbaa0ff199acf2",
("2.29.2", "linux-amd64"): "51500b603a69cf1ea764b59a7456fe0c4164c4574714aca2a2b6b3d4da893348",
("2.29.2", "linux-arm64"): "c2f1ff7338479ef87d3a94b5ddbf5e431e7de6e326bb23c98616dc2ca395c9a6",
("2.29.2", "linux-armv5"): "af8692e4f1afc47f28399e187baac347bb6af3caabd5ead27978a9200239a9bf",
("2.29.2", "linux-armv6"): "3d45075491a149b013a760b22b99ef32fbceec6d7969bb2e5557c2d7af4f15fd",
("2.29.2", "linux-armv7"): "c4e108c997f9afa0a87b6f075e430c7ff2016adb8bf62a97f927f1840fb70ebd",
("2.29.2", "linux-mips"): "b5258663c7c3d92ad5117c989b474df61de29f760233a60adf06cb60dd548842",
("2.29.2", "linux-mips64"): "3fc4917fb8ff0371473ca987270c66fc89a450b513af4ff932a24fe34b3cb387",
("2.29.2", "linux-mips64le"): "87afa73e0e5d3f772eabe874ac0fab29b493654dc7845e69a4c447331bba6cf3",
("2.29.2", "linux-mipsle"): "a81c80c1c16ece9f2409ae866ffd7eae180fba732708d4709203271b68eaf5eb",
("2.29.2", "linux-ppc64"): "22b133b111626fbbe2c22e0ecf2803b2786ed8d5325a3005e8938c6f8374b39f",
("2.29.2", "linux-ppc64le"): "51c977e15dca823dd79da52d0af7182648a7ff5c4c77932540d7905931d073a6",
("2.29.2", "linux-s390x"): "39e5fab1821f11f8a89793013f0392a5da9824f0d19870406422ace510e0f640",
("2.29.2", "netbsd-386"): "645e143784172c518965721cf067faa4498861d136c8a5e8834627d1fdf401b6",
("2.29.2", "netbsd-amd64"): "374e37d12b7a791265416693e4ce058400995c0b746e9c23eba672b0f008bfc1",
("2.29.2", "netbsd-arm64"): "334854973a8f7ed65eccaed82e337ecb63fcb94fe9d00d19de66f52bb015e2fc",
("2.29.2", "netbsd-armv6"): "3d2c5c42ca372a317136f96758d8ad635fc60d174c7e6958be4ed9201d0b6199",
("2.29.2", "netbsd-armv7"): "2d5a86ba651b752bafb9c9e2a625d54e7c28805615a66fb4972c5e657b667947",
("2.29.2", "openbsd-386"): "971320e25ec0056a0f1bac83b9313c150ab708513fa52085265a9399cf98b5c1",
("2.29.2", "openbsd-amd64"): "294260afe9c59afe8dbed062aba1a0863009a9f67b8fac4937d9fc0b18de10a2",
("2.29.2", "openbsd-arm64"): "2914cf1bfcbf4d70838345cc8f333a44fcd99b07189b6a34e9c0c6719b25a695",
("2.29.2", "openbsd-armv7"): "bfc5c375b34c07e847b1ce4b8934079156efbfb0cf0699fa89d3dfa9ddd65b30",
("2.29.2", "windows-386"): "ed557402f6165b1d85d1281af3d156337ef4fb5677a099d897228e08170bc951",
("2.29.2", "windows-amd64"): "924b52ad4f12f8e3b74a8e151c30bc5b7fbb866934c9dfba013509e3f2b38a62",
("2.30.3", "darwin-amd64"): "8d7e0cda867553a01373fd93f24d718d10f74e0bb43c43f7902bc2216894a281",
("2.30.3", "darwin-arm64"): "dc52f5042d2606f848847014222b06a7ab243c062c39120e4bacdd058eedf289",
("2.30.3", "dragonfly-amd64"): "2acb977702e8f37605fefbd9eff3c7cbaa9e88e4d674362f90d5f728391bd2a5",
("2.30.3", "freebsd-386"): "c6cbb68f9d9898e42d01e88827df4b5549e0e661f882e2fd1062db0b196d6a68",
("2.30.3", "freebsd-amd64"): "b241d60c79da4504b6c082bd09a47c1164a15552e66bc981e319fdf9f3757e7c",
("2.30.3", "freebsd-arm64"): "627688eec5060486fa5d070bc95de0cd005bfa6206d8d657693f54b699971878",
("2.30.3", "freebsd-armv6"): "afc76f8e6e6c8cd3964886db10463256988dacb0c533700346495d52035d2edf",
("2.30.3", "freebsd-armv7"): "ad0b56c76b342ac1bb02648b13efcc28296d4ca79900ecbbd00bb42972d0a9b9",
("2.30.3", "illumos-amd64"): "9d8e4905da66ba4750a2d6e7c06ecf0f46053b5a0c6c6a95677490978b27effc",
("2.30.3", "linux-386"): "7a194951fb51bc0f4f5a15d370ba8c60f62d3f6a5e02e0ccc75238e459bfc3a8",
("2.30.3", "linux-amd64"): "1ccd386d05f73a98b69aa5e0ed31fffac95cd9dadf7df1540daf2f182c5287e2",
("2.30.3", "linux-arm64"): "0bf66e0ab8fcad44ee5041d7909a955017f4587868ee96b76c44c02f500d843e",
("2.30.3", "linux-armv5"): "3492153b60c973d0bccd90ea6ff131da7683dbec46565eb5af6901cfddf77b27",
("2.30.3", "linux-armv6"): "89d4757507b3d233f1b516c48f362287972eed171b82572f437677c56e915534",
("2.30.3", "linux-armv7"): "cb2d8eb3a22d6dbe69449f7d6604f2fa80fa70df4c35dfb412354188047941e7",
("2.30.3", "linux-mips"): "13d5acca1fe121b6e4c1f75d5169aeac2da08067f7c1ee3ed39d781946e476a9",
("2.30.3", "linux-mips64"): "8e8150e40ab1f67114dcd6091a5a0bbe4ecbe87f2a7aa239e086ec37a985fd33",
("2.30.3", "linux-mips64le"): "f8dc62e8938b6226cc6fc7fd82c8d0c65b0f275b2e103266323b2146aec480c8",
("2.30.3", "linux-mipsle"): "4122cf9642f099fb5b25ab89fac58e67b3b661c5c61de5377b17d62d032c1b04",
("2.30.3", "linux-ppc64"): "57fce3a76f492ecddfcefa0745eadea776eac417ad1d8c0b25073ef672a7f1d1",
("2.30.3", "linux-ppc64le"): "002ee190b11a904554e5c00bd1713679894bdcce32067b0de5fae87d4a31dc2c",
("2.30.3", "linux-s390x"): "c6a3feaacf85474126b30577a8d85fa075a41497e03c48f7a5486a50fb02ebcd",
("2.30.3", "netbsd-386"): "5747b0f539fff5db22a58b532f5be6f450e3da88795f642a0d16f1c40d6dc4e1",
("2.30.3", "netbsd-amd64"): "393cd29411094785059f66309359791abd4605d22d6e76197d5e54003168e13c",
("2.30.3", "netbsd-arm64"): "d9dad97f671c825ab071fa4eee9aecd5971ec5fb963eeadcb614e3100e9d9658",
("2.30.3", "netbsd-armv6"): "3040ece61cbb92a60fb32246fa19dc001398bba4cb2324688cbe071a23f5c9c1",
("2.30.3", "netbsd-armv7"): "8bb1c2d03a46294fd1bc4c47b7fdc3be8b7c5bcc589a3472c7776c4adb944e52",
("2.30.3", "openbsd-386"): "cd00cb6cc74527162c51bf5f830bc4e800dec88a4b03dbf84f78051e6349f66f",
("2.30.3", "openbsd-amd64"): "98609477fd38c3c45bb326f284615f15db05931a013238d308bee9530663697e",
("2.30.3", "openbsd-arm64"): "85b01bd03872866852132d325738b59f20bc658c9e33496224e60bcd544d0fee",
("2.30.3", "openbsd-armv7"): "d288f631b0db0a80e62dbf8ac1b5262fe85b3751be66c2d46f32463e0a9cb387",
("2.30.3", "windows-386"): "90250bd300063ea1e041e82efee579e103b1e435f120bd252e4f597bd0e2f7a8",
("2.30.3", "windows-amd64"): "365f8884b92e037f41f59f583b31c5e83fd3b6dbe821e91d3644a701f1001e96",
}
_DEFAULT_ALERTMANAGER_VERSION = "0.23.0"
_DEFAULT_AVAILABLE_ALERTMANAGER_BINARIES = {
("0.21.0", "darwin-amd64"): "b508eb6f5d1b957abbee92f9c37deb99a3da3311572bed34357ac8acbb75e510",
("0.21.0", "dragonfly-amd64"): "8531f3b02d788df4fabe333dc75a558cd92c51c4c8280d5a27dbaa0efb390f66",
("0.21.0", "freebsd-386"): "bd554804e0240b1cba8d3f9f1bb5cfde6f1c815ec3b77e83e617808ca0983420",
("0.21.0", "freebsd-amd64"): "1fe3f1fcdebb055d464d24865743f996843166bb7c8f3cea114887f5bb283b2d",
("0.21.0", "freebsd-armv6"): "3cc30810003e21d06f1f5534a284bacf077d04bc8f86e4b82f6b189d45d248df",
("0.21.0", "freebsd-armv7"): "dec886a05913e210a8b0f109e713b6f394d2afddb5395da045a8823d2d7f9c83",
("0.21.0", "linux-386"): "cfa6090466b530ea7501fcded4a186516cac22c149cda1f50dd125177badff9d",
("0.21.0", "linux-amd64"): "9ccd863937436fd6bfe650e22521a7f2e6a727540988eef515dde208f9aef232",
("0.21.0", "linux-arm64"): "1107870a95d51e125881f44aebbc56469e79f5068bd96f9eddff38e7a5ebf423",
("0.21.0", "linux-armv5"): "1778ac52bbbb99a9914b3fb9b0f39c35046cf9a2540568f80ea03efc603b00be",
("0.21.0", "linux-armv6"): "03282900bf3ddce77f236872f4c8e2cf91f7b8b9b7e80eec845841930723a900",
("0.21.0", "linux-armv7"): "d7b41a15d90fedf3456969b158ddaea591d7d22d195cc653738af550706302b6",
("0.21.0", "linux-mips64"): "caad406dc86ad36b0f282a409757895d66206da47aae721f344ebad3bf257f7a",
("0.21.0", "linux-mips64le"): "060f0af52a471bdc2fd017f2752d945ddd47a030d5c94fe3c37d1fb74693906c",
("0.21.0", "linux-ppc64"): "adc949faa23a8a34cc5fe5fa64f62777cb35d0055df303804f767b77c662ad3f",
("0.21.0", "linux-ppc64le"): "afc649eb16299f1957034ff14450fe18507de6d43f7b36383373c678974a09ed",
("0.21.0", "linux-s390x"): "5a71fae41f8a2abf6b34825f16a7ea625fede6d2e9679111147d15aa8446ab38",
("0.21.0", "netbsd-386"): "e1db656dd4b6b4f9cb16505591ce10b76ca3106582786dd7ea71560a6e4e7a53",
("0.21.0", "netbsd-amd64"): "aa29c15a464ddfdb40dff77e81634a6c81150e8b601ff11c82f05c5b2b4876d4",
("0.21.0", "netbsd-armv6"): "26d68e39479beb3c040bf6ef995d5c58d0b3523688219d84ce10eb9620622611",
("0.21.0", "netbsd-armv7"): "d25f311f76df28fa82c01c527fabaa646b24a48120938d57b3116382f4b8cf65",
("0.21.0", "openbsd-386"): "6bdb03cd3c36a27b523f411e7370606c84214e53a75b740a2f1e07c77ed7c52a",
("0.21.0", "openbsd-amd64"): "ffd4fde08ff1236d37eabb10a6d1896404f06ebf8c5fd4c15c322b67a628f6a5",
("0.21.0", "windows-386"): "16797370f99db1d10aec642c4f266eb7d051bfaa874d17caf3041141a64cd26f",
("0.21.0", "windows-amd64"): "12c9a77d904bd7982e7ceacfbe9106e725e31536913c491e7b2703f9ddff4aa2",
("0.22.2", "darwin-amd64"): "2629b6a598e3d16726cfbaec1debdcaf62dcf60ed2b52b2b18bb794e3a5b2e63",
("0.22.2", "darwin-arm64"): "76c4b15189ccd9501ac7a3e30cc02447a08f78c8087bed2da17d29334a0c2927",
("0.22.2", "dragonfly-amd64"): "c75625695d3afacdb89eff34001f5c0f85d8607502dd4eaeec1c0b8fe5e5218e",
("0.22.2", "freebsd-386"): "dccd8a844bb03200d8e7fe42293c083f96fe5d4402b33f39b87133cf2bacea77",
("0.22.2", "freebsd-amd64"): "0a7541595c713091dd1bba800281e6e3abe69073dbd1906019c1e285215f7d6a",
("0.22.2", "freebsd-arm64"): "149e62254a03b607c860ba8655d9321085c36222a58f97a688f58801fbdd05d9",
("0.22.2", "freebsd-armv6"): "7383eb8c630ffa46953cf8599888a8cbff0ca1bcb5f3ef6aa0cb6b03471c50f2",
("0.22.2", "freebsd-armv7"): "081f79abf5a953db2b5153ac21df9b39627aad43c54daee1e887b08e9a911895",
("0.22.2", "illumos-amd64"): "2522272c404580c5a59634f75315ddb85780a9b2e14894a583093d6d8caf9ecd",
("0.22.2", "linux-386"): "d4248d2bb47bbd891de9f092f129a65246ef4cb32538c97824b9fec34b867d40",
("0.22.2", "linux-amd64"): "9c3b1cce9c74f5cecb07ec4a636111ca52696c0a088dbaecf338594d6e55cd1a",
("0.22.2", "linux-arm64"): "2592ba596b59a69db397987fc2ee1c4a91dddb63b92bada692270203d183e5f1",
("0.22.2", "linux-armv5"): "c48a20f14ca4ae6ced976752a115f0687ecd734a873f0393afd6f7ab6159bdbe",
("0.22.2", "linux-armv6"): "8d31f59b52f69a77f869bd124e87a5fc9434a9f4fce5325a980d35acd269f71c",
("0.22.2", "linux-armv7"): "514e0629fed4594d14e9c1f3466fecb7e38f692a7b63772d7b6826bdbe071665",
("0.22.2", "linux-mips"): "11e235fe01dbc5adbfaf355503ac0babbae7b2a00276a2770b8f4a01e9c55915",
("0.22.2", "linux-mips64"): "94101a86f2eb99e0b7c98b8154a17b8f1d443911c5e52cd51604ba92e59098d3",
("0.22.2", "linux-mips64le"): "c6c06e6468e09297e72af9896bbdb879aebf122a7118f9104243aadc976af350",
("0.22.2", "linux-mipsle"): "3df3c3064cc3e88f8bfc7c05b55e717acc21ea8d24517a58be96ef2cb44cb845",
("0.22.2", "linux-ppc64"): "dd03dc898aeaadeb29192f56be2da5bf785cc0075a0c4e94892f31c8363de7d5",
("0.22.2", "linux-ppc64le"): "0e8c79b4e80a4535ce4e9fae7913884429f55d1725852a43a2964d3b0847b9c8",
("0.22.2", "linux-s390x"): "38505aca84989ea3c8089f7d5e0663c826b977ce38dca1003e8b0bf14828d1ce",
("0.22.2", "netbsd-386"): "218311641781781871ea2a5699732c771ed76a6f281bd67b3f8a024afa06efa6",
("0.22.2", "netbsd-amd64"): "2bfab1d64bff8578e1edc1efde5c692ce03f07c75e0768c785e53066366fdb4a",
("0.22.2", "netbsd-arm64"): "94049615dc7a92f959579d4175852385049d2a6ebbe38d6e9bd9d97287c39189",
("0.22.2", "netbsd-armv6"): "ab2ca08e6b16100fe52f8c83d53fe33c70e8302488f4389c23b1c70e07e842c7",
("0.22.2", "netbsd-armv7"): "88faa3ea904c4be57fc537dc2b7dc492ab7f17817f3d7ebcd7221a7d171036c4",
("0.22.2", "openbsd-386"): "b13b00d77248b3b39324ce5ed03ee9a628bb24345d33be3a78b3e0a7c736f4b0",
("0.22.2", "openbsd-amd64"): "b40fae31909ada235e213e03a638f25028a8655feaca907a6c7688309a6bb688",
("0.22.2", "openbsd-arm64"): "747e05d7d4e1a73cb343db42485753616bbf82605f57cc85735ed5022b67b36e",
("0.22.2", "openbsd-armv7"): "7fd037a22b39f9f0f3f4b671059d0ad8881d326d7a5f50d152146799a37c6ebe",
("0.22.2", "windows-386"): "78e45056b359c78b3e67b443e127d6c25a8fc6b7776c64aea82ad6f386cf98bf",
("0.22.2", "windows-amd64"): "98b8b66ff8818c64452a54041c1d388af2f0be124dc3bac801ce095744e6e66b",
("0.23.0", "darwin-amd64"): "f8d668f88f8934202aaf646a93a116ac38532144bdaad291319518704a01f2ca",
("0.23.0", "darwin-arm64"): "01d47f98b46d92dac2a7ae8f45668e8491f835c57f8c3cab39a3cb6ec8d16ca1",
("0.23.0", "dragonfly-amd64"): "d50d3c6f2d524157d1447e7e793c1567f0b7e5c5bd3a8664dcf35f8811e74132",
("0.23.0", "freebsd-386"): "b25c51b19e4295159e81c3a94e91f34b6750ad8bb54971263a9296695f267e3a",
("0.23.0", "freebsd-amd64"): "59c73c66dc5e103f96d2d54920baf9168d754636e96876b5f4b713effabc8c1c",
("0.23.0", "freebsd-arm64"): "875dec9177aa9e1185924773fa478f27368fc7b71b42628dca8db6a5351a99c0",
("0.23.0", "freebsd-armv6"): "fd07d75d4823437527fe91736b6fe63aae2e7624a6b1bb84d05a83fc4b6739d0",
("0.23.0", "freebsd-armv7"): "0673354936807c12d5f7dd13837524f7d23b177a31af8e8bb5235eb5325c1e7f",
("0.23.0", "illumos-amd64"): "93d91f2ff06c4de271b8b3180e6673fd2fe2569dce0da335e860a261a700717b",
("0.23.0", "linux-386"): "097abb8b7b676bf1543d9020120f56beedb3935ab2f71a03e4537e17350d3be3",
("0.23.0", "linux-amd64"): "77793c4d9bb92be98f7525f8bc50cb8adb8c5de2e944d5500e90ab13918771fc",
("0.23.0", "linux-arm64"): "afa44f350797032ceb714598900cfdddbf81d6ef03d2ecbfc0221cc2cb28a6b9",
("0.23.0", "linux-armv5"): "11bfd273a0e115f662fc31cb8c818f8857dd5857c3045ad104aa15766ad4fb65",
("0.23.0", "linux-armv6"): "9837426d31084aec1e9f55bbce8defc05417e3af2098255a5eebab096dc246cd",
("0.23.0", "linux-armv7"): "489c377a04b6097f07fdcc4b532a9643e520739b268be5350c4ffa999956d5c9",
("0.23.0", "linux-mips"): "7a0d2690d69df8cb1500568d02d9ad8a990b8e13bb8e3ef383ef09c5fe6fc5d6",
("0.23.0", "linux-mips64"): "c3711cd95cde42dfe19c4c6186026555fedc39980449a118cbbb894b6173a1fb",
("0.23.0", "linux-mips64le"): "460ebf9f92bac4b0fad1bf554ad9d60dcea65ff80b7d5326fb36e8d15a3b254a",
("0.23.0", "linux-mipsle"): "ee2ab5f329e728d57f2f8ae59ad4c10351800c20b69058daa42857d63771c2d0",
("0.23.0", "linux-ppc64"): "f79cf779b758d1cda4cf6b9e6708497e1c67e0e619efefadba66d57a7b937f6c",
("0.23.0", "linux-ppc64le"): "c047283a61bb99234e8050347c5f1333c6805eb3e5806e73a0e80f6249967831",
("0.23.0", "linux-s390x"): "45a9ea7549f8d4242703d9bd66d03c62530e67097010303d3a002a79de7a01aa",
("0.23.0", "netbsd-386"): "e43d565eda9132c385b9e06883ce67fc8bc09053e70d5b8e54967d2c384f5778",
("0.23.0", "netbsd-amd64"): "6c4983b500fe18d71174e817a31828bda89710ad8a9f1329ed2ff6da08826a48",
("0.23.0", "netbsd-arm64"): "15e0b87bfe5bb53d2240af855f66a5d895eec6c324dc0764e8799045543b770d",
("0.23.0", "netbsd-armv6"): "814bbb0f1c425d05ce60122726e8a16f2d18ae89255c37622bac1abdb3fe1c11",
("0.23.0", "netbsd-armv7"): "9a8fa1ba2c181797013494d74dcb4bbb4aa568a00467cb270f3e393dd8a09c9a",
("0.23.0", "openbsd-386"): "ef82fbeb03243eae8c6fede858d8118dad28a4c1f0504451361e02eac2808cdf",
("0.23.0", "openbsd-amd64"): "9ed30892abc21fe7b32dd29c11b3ddb0262f0f8e6f80c9265139c92611b95290",
("0.23.0", "openbsd-arm64"): "f47ad57dceecae7a40ede243b99f8b56bde5b930ec98d95c14c95d5e398f8fa9",
("0.23.0", "openbsd-armv7"): "4afc7974f078bc882cfcead000ffc52ccac9609caec5798d90d4a35eb7a10a8b",
("0.23.0", "windows-386"): "b1dd8405de144f4d2e2ae067138fb720fb9eb9fa6234c8de14dfc6c5cb8df155",
("0.23.0", "windows-amd64"): "7832aac30f849de0a1a60d961dec083e97933a73dc26673ffaef4809719fcd3c",
}
_DEFAULT_PROMETHEUS_BINARY_INFO = PrometheusBinaryInfo(
version = _DEFAULT_PROMETHEUS_VERSION,
available_binaries = _DEFAULT_AVAILABLE_PROMETHEUS_BINARIES,
)
_DEFAULT_ALERTMANAGER_BINARY_INFO = AlertmanagerBinaryInfo(
version = _DEFAULT_ALERTMANAGER_VERSION,
available_binaries = _DEFAULT_AVAILABLE_ALERTMANAGER_BINARIES,
)
DEFAULT_PROMETHEUS_PACKAGE_INFO = PrometheusPackageInfo(
platforms_info = DEFAULT_PLATFORMS,
prometheus_binary_info = _DEFAULT_PROMETHEUS_BINARY_INFO,
alertmanager_binary_info = _DEFAULT_ALERTMANAGER_BINARY_INFO,
)
# generally useful code
# def _validate_prometheus_package_info(prometheus_package_info):
# if not (
# prometheus_package_info.prometheus_binary_info.version in
# [key[0] for key in prometheus_package_info.prometheus_binary_info.available_binaries]
# ):
# fail(
# "No %s version in supported prometheus versions" % prometheus_package_info.prometheus_binary_info.version,
# )
# if not (
# prometheus_package_info.alertmanager_binary_info.version in
# [key[0] for key in prometheus_package_info.alertmanager_binary_info.available_binaries]
# ):
# fail(
# "No %s in supported alertmanager versions" % prometheus_package_info.alertmanager_binary_info.version,
# )
| 71.021672 | 120 | 0.768352 | 1,532 | 22,940 | 11.432768 | 0.185379 | 0.005824 | 0.007765 | 0.00668 | 0.025464 | 0.020325 | 0.019069 | 0.005938 | 0.005938 | 0.005938 | 0 | 0.426264 | 0.093112 | 22,940 | 322 | 121 | 71.242236 | 0.415641 | 0.034133 | 0 | 0.006803 | 0 | 0 | 0.750305 | 0.571751 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
4a9d7258cedaa54b3a99a8a0b4c14e694b127a61 | 156 | py | Python | pureskillgg_makenew_pyskill/todo_test.py | pureskillgg/makenew-pyskill | 3045f0639506fcaefd3191dada76277598bbb1eb | [
"MIT"
] | 6 | 2019-04-30T16:44:20.000Z | 2021-12-25T23:23:41.000Z | pureskillgg_makenew_pyskill/todo_test.py | pureskillgg/makenew-pyskill | 3045f0639506fcaefd3191dada76277598bbb1eb | [
"MIT"
] | 15 | 2020-03-28T20:29:38.000Z | 2021-09-11T07:19:46.000Z | makenew_pypackage/todo_test.py | makenew/pypackage | 3b29c8a9a1a7442f1d6742ae8ec1eb2b92033039 | [
"MIT"
] | 3 | 2019-11-21T08:29:14.000Z | 2021-01-10T17:22:41.000Z | # pylint: disable=missing-docstring
# pylint: disable=unused-import
import pytest
from .todo import todo
def test_todo():
assert todo(True) is True
| 14.181818 | 35 | 0.74359 | 22 | 156 | 5.227273 | 0.636364 | 0.226087 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 156 | 10 | 36 | 15.6 | 0.884615 | 0.403846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0.25 | true | 0 | 0.5 | 0 | 0.75 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
4aa1c7d3e45d567c68e550747b7057af2e5888db | 3,351 | py | Python | cvnets/models/classification/config/resnet.py | apple/ml-cvnets | 84d992f413e52c0468f86d23196efd9dad885e6f | [
"AML"
] | 209 | 2021-10-30T08:32:10.000Z | 2022-03-31T16:18:03.000Z | cvnets/models/classification/config/resnet.py | apple/ml-cvnets | 84d992f413e52c0468f86d23196efd9dad885e6f | [
"AML"
] | 12 | 2021-12-04T10:47:11.000Z | 2022-03-31T15:39:40.000Z | cvnets/models/classification/config/resnet.py | apple/ml-cvnets | 84d992f413e52c0468f86d23196efd9dad885e6f | [
"AML"
] | 50 | 2021-11-01T08:15:02.000Z | 2022-03-29T08:17:34.000Z | #
# For licensing see accompanying LICENSE file.
# Copyright (C) 2022 Apple Inc. All Rights Reserved.
#
from typing import Dict
from utils import logger
def get_configuration(opts) -> Dict:
depth = getattr(opts, "model.classification.resnet.depth", 50)
resnet_config = dict()
if depth == 18:
resnet_config["layer2"] = {
"num_blocks": 2,
"mid_channels": 64,
"block_type": "basic",
"stride": 1,
}
resnet_config["layer3"] = {
"num_blocks": 2,
"mid_channels": 128,
"block_type": "basic",
"stride": 2,
}
resnet_config["layer4"] = {
"num_blocks": 2,
"mid_channels": 256,
"block_type": "basic",
"stride": 2,
}
resnet_config["layer5"] = {
"num_blocks": 2,
"mid_channels": 512,
"block_type": "basic",
"stride": 2,
}
elif depth == 34:
resnet_config["layer2"] = {
"num_blocks": 3,
"mid_channels": 64,
"block_type": "basic",
"stride": 1,
}
resnet_config["layer3"] = {
"num_blocks": 4,
"mid_channels": 128,
"block_type": "basic",
"stride": 2,
}
resnet_config["layer4"] = {
"num_blocks": 6,
"mid_channels": 256,
"block_type": "basic",
"stride": 2,
}
resnet_config["layer5"] = {
"num_blocks": 3,
"mid_channels": 512,
"block_type": "basic",
"stride": 2,
}
elif depth == 50:
resnet_config["layer2"] = {
"num_blocks": 3,
"mid_channels": 64,
"block_type": "bottleneck",
"stride": 1,
}
resnet_config["layer3"] = {
"num_blocks": 4,
"mid_channels": 128,
"block_type": "bottleneck",
"stride": 2,
}
resnet_config["layer4"] = {
"num_blocks": 6,
"mid_channels": 256,
"block_type": "bottleneck",
"stride": 2,
}
resnet_config["layer5"] = {
"num_blocks": 3,
"mid_channels": 512,
"block_type": "bottleneck",
"stride": 2,
}
elif depth == 101:
resnet_config["layer2"] = {
"num_blocks": 3,
"mid_channels": 64,
"block_type": "bottleneck",
"stride": 1,
}
resnet_config["layer3"] = {
"num_blocks": 4,
"mid_channels": 128,
"block_type": "bottleneck",
"stride": 2,
}
resnet_config["layer4"] = {
"num_blocks": 23,
"mid_channels": 256,
"block_type": "bottleneck",
"stride": 2,
}
resnet_config["layer5"] = {
"num_blocks": 3,
"mid_channels": 512,
"block_type": "bottleneck",
"stride": 2,
}
else:
logger.error(
"ResNet models are supported with depths of 18, 34, 50 and 101. Please specify depth using "
"--model.classification.resnet.depth flag. Got: {}".format(depth)
)
return resnet_config
| 27.694215 | 104 | 0.452402 | 304 | 3,351 | 4.766447 | 0.246711 | 0.149068 | 0.077295 | 0.110421 | 0.732229 | 0.710835 | 0.710835 | 0.710835 | 0.710835 | 0.710835 | 0 | 0.059151 | 0.409728 | 3,351 | 120 | 105 | 27.925 | 0.673407 | 0.02835 | 0 | 0.711712 | 0 | 0 | 0.306367 | 0.020917 | 0 | 0 | 0 | 0 | 0 | 1 | 0.009009 | false | 0 | 0.018018 | 0 | 0.036036 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
4ac6aa0c064d6e9151cebd584ec27921fd340495 | 236 | py | Python | tests/__init__.py | lmbringas/NeuralMap | 0a8787e79f3985bb188b1b041e3ec7e558c4a742 | [
"MIT"
] | 4 | 2020-10-02T11:46:48.000Z | 2021-05-14T18:20:41.000Z | tests/__init__.py | lmbringas/NeuralMap | 0a8787e79f3985bb188b1b041e3ec7e558c4a742 | [
"MIT"
] | 1 | 2021-06-21T18:46:39.000Z | 2021-06-21T18:46:39.000Z | tests/__init__.py | lmbringas/NeuralMap | 0a8787e79f3985bb188b1b041e3ec7e558c4a742 | [
"MIT"
] | 1 | 2021-06-13T19:58:19.000Z | 2021-06-13T19:58:19.000Z | """
Test suite for NeuralMap.
Modules
-------
test_neural_map:
Basic tests for main class
test_decay_functions:
Tests decay functions
tests_neighbourhood_functions:
Tests neighbourhood functions
""" | 18.153846 | 37 | 0.677966 | 25 | 236 | 6.16 | 0.56 | 0.272727 | 0.246753 | 0.467532 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.25 | 236 | 13 | 38 | 18.153846 | 0.870057 | 0.961864 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
435c1f4e82aaef91c8fb8fe19b226482cf691213 | 9,715 | py | Python | reference/sketchbook/metatoo/bootstrap.py | JaDogg/__py_playground | 416f88db10e03f5380bcb5cfcad0bca50ffa657c | [
"MIT"
] | 1 | 2015-10-28T00:00:16.000Z | 2015-10-28T00:00:16.000Z | reference/sketchbook/metatoo/bootstrap.py | JaDogg/__py_playground | 416f88db10e03f5380bcb5cfcad0bca50ffa657c | [
"MIT"
] | null | null | null | reference/sketchbook/metatoo/bootstrap.py | JaDogg/__py_playground | 416f88db10e03f5380bcb5cfcad0bca50ffa657c | [
"MIT"
] | null | null | null | """
Bootstrap the metatoo compiler by compiling the metatoo grammar
using a hand-translation of itself into peglet.
"""
import sys
from peglet import Parser, join
meta_grammar = r"""
main = main_start
_ rules !.
rules = rule rules
|
rule = id /=/ _ alts [.] _ rule_do
alts = seq_start
seq alts2
alts2 = [|] _ alts
|
seq = token seq
| seq_end
token = [{] qchars [}] _ join tok_qchars
| [/] xchars [/] _ join tok_xchars
| id tok_id
| [:] id tok_primitive
qchars = qchar qchars
|
qchar = ([^}])
xchars = xchar xchars
|
xchar = /(\\.|[^\/])/
id = ([a-zA-Z_]\w*) _
_ = \s*
"""
def main_start():
return ("# This file was generated by metatoo; you probably shouldn't edit it.\n"
"import metalib, re\n"
"def parse(text):\n"
" pos, vals = parse_main(text, 0, ())\n"
" if pos != len(text): raise Exception('Failed', pos)\n"
" return ''.join(vals)\n")
def rule_do(name, *body):
return ("def parse_%s(text, start_pos, start_vals):\n"
"%s"
" return None, None\n"
% (name, ''.join(body)))
def seq_start():
return (" while True:\n"
" pos, vals = start_pos, start_vals\n")
def seq_end():
return (" return pos, vals\n")
def tok_qchars(*chars):
return (" vals += (%r,)\n"
% ''.join(chars))
def tok_xchars(*chars):
return (" m = re.match(%r, text[pos:])\n"
" if not m: break\n"
" pos, vals = pos + m.end(), vals + m.groups()\n"
% ''.join(chars))
def tok_id(name):
return (" pos, vals = parse_%s(text, pos, vals)\n"
" if pos is None: break\n"
% name)
def tok_primitive(name):
return (" vals = metalib.%s(vals)\n"
% name)
meta = Parser(meta_grammar, **globals())
with open('metatoo.metatoo') as f:
sys.stdout.write(''.join(meta(f.read())))
#. # This file was generated by metatoo; you probably shouldn't edit it.
#. import metalib, re
#. def parse(text):
#. pos, vals = parse_main(text, 0, ())
#. if pos != len(text): raise Exception('Failed', pos)
#. return ''.join(vals)
#. def parse_main(text, start_pos, start_vals):
#. while True:
#. pos, vals = start_pos, start_vals
#. vals += ("# This file was generated by metatoo; you probably shouldn't edit it.",)
#. vals = metalib.nl(vals)
#. vals += ('import metalib, re',)
#. vals = metalib.nl(vals)
#. vals += ('def parse(text):',)
#. vals = metalib.nl(vals)
#. vals += (' pos, vals = parse_main(text, 0, ())',)
#. vals = metalib.nl(vals)
#. vals += (" if pos != len(text): raise Exception('Failed', pos)",)
#. vals = metalib.nl(vals)
#. vals += (" return ''.join(vals)",)
#. vals = metalib.nl(vals)
#. pos, vals = parse__(text, pos, vals)
#. if pos is None: break
#. pos, vals = parse_rules(text, pos, vals)
#. if pos is None: break
#. return pos, vals
#. return None, None
#. def parse_rules(text, start_pos, start_vals):
#. while True:
#. pos, vals = start_pos, start_vals
#. pos, vals = parse_rule(text, pos, vals)
#. if pos is None: break
#. pos, vals = parse_rules(text, pos, vals)
#. if pos is None: break
#. return pos, vals
#. while True:
#. pos, vals = start_pos, start_vals
#. return pos, vals
#. return None, None
#. def parse_rule(text, start_pos, start_vals):
#. while True:
#. pos, vals = start_pos, start_vals
#. pos, vals = parse_id(text, pos, vals)
#. if pos is None: break
#. m = re.match('=', text[pos:])
#. if not m: break
#. pos, vals = pos + m.end(), vals + m.groups()
#. pos, vals = parse__(text, pos, vals)
#. if pos is None: break
#. vals += ('def parse_',)
#. vals = metalib.swap(vals)
#. vals += ('(text, start_pos, start_vals):',)
#. vals = metalib.nl(vals)
#. pos, vals = parse_alts(text, pos, vals)
#. if pos is None: break
#. m = re.match('\\.', text[pos:])
#. if not m: break
#. pos, vals = pos + m.end(), vals + m.groups()
#. pos, vals = parse__(text, pos, vals)
#. if pos is None: break
#. vals += (' return None, None',)
#. vals = metalib.nl(vals)
#. return pos, vals
#. return None, None
#. def parse_alts(text, start_pos, start_vals):
#. while True:
#. pos, vals = start_pos, start_vals
#. vals += (' while True:',)
#. vals = metalib.nl(vals)
#. vals += (' pos, vals = start_pos, start_vals',)
#. vals = metalib.nl(vals)
#. pos, vals = parse_seq(text, pos, vals)
#. if pos is None: break
#. pos, vals = parse_alts2(text, pos, vals)
#. if pos is None: break
#. return pos, vals
#. return None, None
#. def parse_alts2(text, start_pos, start_vals):
#. while True:
#. pos, vals = start_pos, start_vals
#. m = re.match('\\|', text[pos:])
#. if not m: break
#. pos, vals = pos + m.end(), vals + m.groups()
#. pos, vals = parse__(text, pos, vals)
#. if pos is None: break
#. pos, vals = parse_alts(text, pos, vals)
#. if pos is None: break
#. return pos, vals
#. while True:
#. pos, vals = start_pos, start_vals
#. return pos, vals
#. return None, None
#. def parse_seq(text, start_pos, start_vals):
#. while True:
#. pos, vals = start_pos, start_vals
#. pos, vals = parse_token(text, pos, vals)
#. if pos is None: break
#. pos, vals = parse_seq(text, pos, vals)
#. if pos is None: break
#. return pos, vals
#. while True:
#. pos, vals = start_pos, start_vals
#. vals += (' return pos, vals',)
#. vals = metalib.nl(vals)
#. return pos, vals
#. return None, None
#. def parse_token(text, start_pos, start_vals):
#. while True:
#. pos, vals = start_pos, start_vals
#. m = re.match('{', text[pos:])
#. if not m: break
#. pos, vals = pos + m.end(), vals + m.groups()
#. pos, vals = parse_qchars(text, pos, vals)
#. if pos is None: break
#. m = re.match('}', text[pos:])
#. if not m: break
#. pos, vals = pos + m.end(), vals + m.groups()
#. pos, vals = parse__(text, pos, vals)
#. if pos is None: break
#. vals += (' vals += (',)
#. vals = metalib.swap(vals)
#. vals = metalib.quote(vals)
#. vals += (',)',)
#. vals = metalib.nl(vals)
#. return pos, vals
#. while True:
#. pos, vals = start_pos, start_vals
#. m = re.match('\\/', text[pos:])
#. if not m: break
#. pos, vals = pos + m.end(), vals + m.groups()
#. pos, vals = parse_xchars(text, pos, vals)
#. if pos is None: break
#. m = re.match('\\/', text[pos:])
#. if not m: break
#. pos, vals = pos + m.end(), vals + m.groups()
#. pos, vals = parse__(text, pos, vals)
#. if pos is None: break
#. vals += (' m = re.match(',)
#. vals = metalib.swap(vals)
#. vals = metalib.quote(vals)
#. vals += (', text[pos:])',)
#. vals = metalib.nl(vals)
#. vals += (' if not m: break',)
#. vals = metalib.nl(vals)
#. vals += (' pos, vals = pos + m.end(), vals + m.groups()',)
#. vals = metalib.nl(vals)
#. return pos, vals
#. while True:
#. pos, vals = start_pos, start_vals
#. pos, vals = parse_id(text, pos, vals)
#. if pos is None: break
#. vals += (' pos, vals = parse_',)
#. vals = metalib.swap(vals)
#. vals += ('(text, pos, vals)',)
#. vals = metalib.nl(vals)
#. vals += (' if pos is None: break',)
#. vals = metalib.nl(vals)
#. return pos, vals
#. while True:
#. pos, vals = start_pos, start_vals
#. m = re.match(':', text[pos:])
#. if not m: break
#. pos, vals = pos + m.end(), vals + m.groups()
#. pos, vals = parse_id(text, pos, vals)
#. if pos is None: break
#. vals += (' vals = metalib.',)
#. vals = metalib.swap(vals)
#. vals += ('(vals)',)
#. vals = metalib.nl(vals)
#. return pos, vals
#. return None, None
#. def parse_qchars(text, start_pos, start_vals):
#. while True:
#. pos, vals = start_pos, start_vals
#. m = re.match('([^}])', text[pos:])
#. if not m: break
#. pos, vals = pos + m.end(), vals + m.groups()
#. pos, vals = parse_qchars(text, pos, vals)
#. if pos is None: break
#. vals = metalib.cat(vals)
#. return pos, vals
#. while True:
#. pos, vals = start_pos, start_vals
#. vals += ('',)
#. return pos, vals
#. return None, None
#. def parse_xchars(text, start_pos, start_vals):
#. while True:
#. pos, vals = start_pos, start_vals
#. m = re.match('(\\\\.|[^\\/])', text[pos:])
#. if not m: break
#. pos, vals = pos + m.end(), vals + m.groups()
#. pos, vals = parse_xchars(text, pos, vals)
#. if pos is None: break
#. vals = metalib.cat(vals)
#. return pos, vals
#. while True:
#. pos, vals = start_pos, start_vals
#. vals += ('',)
#. return pos, vals
#. return None, None
#. def parse_id(text, start_pos, start_vals):
#. while True:
#. pos, vals = start_pos, start_vals
#. m = re.match('([a-zA-Z_]\\w*)', text[pos:])
#. if not m: break
#. pos, vals = pos + m.end(), vals + m.groups()
#. pos, vals = parse__(text, pos, vals)
#. if pos is None: break
#. return pos, vals
#. return None, None
#. def parse__(text, start_pos, start_vals):
#. while True:
#. pos, vals = start_pos, start_vals
#. m = re.match('\\s*', text[pos:])
#. if not m: break
#. pos, vals = pos + m.end(), vals + m.groups()
#. return pos, vals
#. return None, None
| 32.932203 | 89 | 0.535255 | 1,320 | 9,715 | 3.829545 | 0.069697 | 0.153709 | 0.087438 | 0.114342 | 0.806924 | 0.779031 | 0.747181 | 0.711771 | 0.672997 | 0.655193 | 0 | 0.001001 | 0.280391 | 9,715 | 294 | 90 | 33.044218 | 0.722071 | 0.750798 | 0 | 0.064516 | 0 | 0 | 0.548564 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.129032 | false | 0 | 0.048387 | 0.129032 | 0.306452 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 6 |
435da6fe69bcaf98d6c4f9bfae675a11271386e9 | 96 | py | Python | venv/lib/python3.8/site-packages/jedi/inference/value/namespace.py | Retraces/UkraineBot | 3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71 | [
"MIT"
] | 2 | 2022-03-13T01:58:52.000Z | 2022-03-31T06:07:54.000Z | venv/lib/python3.8/site-packages/jedi/inference/value/namespace.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | 19 | 2021-11-20T04:09:18.000Z | 2022-03-23T15:05:55.000Z | venv/lib/python3.8/site-packages/jedi/inference/value/namespace.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | null | null | null | /home/runner/.cache/pip/pool/02/de/cf/10caee22d2245749029f54597ea81219bbc645f188d9b6ee82065e944d | 96 | 96 | 0.895833 | 9 | 96 | 9.555556 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.4375 | 0 | 96 | 1 | 96 | 96 | 0.458333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
4388020bc537520366a8855075030df4c61f78ad | 186 | py | Python | music/admin.py | chetanya-shrimali/music-website-django | 475a68487b6d8311b75acb8d500b3b3d48e7e373 | [
"MIT"
] | 1 | 2017-10-07T08:31:37.000Z | 2017-10-07T08:31:37.000Z | music/admin.py | chetanya-shrimali/music-webiste-django | 475a68487b6d8311b75acb8d500b3b3d48e7e373 | [
"MIT"
] | 2 | 2017-10-13T05:34:27.000Z | 2017-10-13T22:40:46.000Z | music/admin.py | chetanya-shrimali/music-webiste-django | 475a68487b6d8311b75acb8d500b3b3d48e7e373 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.contrib import admin
from .models import Record, Song
admin.site.register(Record)
admin.site.register(Song)
| 20.666667 | 39 | 0.774194 | 26 | 186 | 5.346154 | 0.615385 | 0.129496 | 0.244604 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006098 | 0.11828 | 186 | 8 | 40 | 23.25 | 0.841463 | 0.112903 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.6 | 0 | 0.6 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
43c4178e7ba41a174802705fab49c500b707efa1 | 19 | py | Python | vgc/DinosaursVsAirplanes/__init__.py | reedessick/video-game-camp | 09a324279c5ea9de87080f122fe27e1ef83d5373 | [
"MIT"
] | null | null | null | vgc/DinosaursVsAirplanes/__init__.py | reedessick/video-game-camp | 09a324279c5ea9de87080f122fe27e1ef83d5373 | [
"MIT"
] | null | null | null | vgc/DinosaursVsAirplanes/__init__.py | reedessick/video-game-camp | 09a324279c5ea9de87080f122fe27e1ef83d5373 | [
"MIT"
] | null | null | null | from . import game
| 9.5 | 18 | 0.736842 | 3 | 19 | 4.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.210526 | 19 | 1 | 19 | 19 | 0.933333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
43c4dba56e838339f6274349bcc1ceecb1ad118e | 8,205 | py | Python | madminer/plotting/morphing.py | rbarrue/madminer | e1d17b2d6be48cc5686b5cbe5d01f62f6cd2450c | [
"MIT"
] | 46 | 2019-06-29T14:56:00.000Z | 2021-08-02T06:05:41.000Z | madminer/plotting/morphing.py | Sinclert/madminer | 6556f164725baab6b79e5ffa2a64913a0ac50f7a | [
"MIT"
] | 52 | 2019-06-18T18:42:58.000Z | 2021-10-04T14:56:39.000Z | madminer/plotting/morphing.py | Sinclert/madminer | 6556f164725baab6b79e5ffa2a64913a0ac50f7a | [
"MIT"
] | 20 | 2019-06-17T15:29:49.000Z | 2021-09-22T18:14:35.000Z | import logging
import matplotlib
import numpy as np
from matplotlib import pyplot as plt
logger = logging.getLogger(__name__)
def plot_1d_morphing_basis(morpher, xlabel=r"$\theta$", xrange=(-1.0, 1.0), resolution=100):
"""
Visualizes a morphing basis and morphing errors for problems with a two-dimensional parameter space.
Parameters
----------
morpher : PhysicsMorpher
PhysicsMorpher instance with defined basis.
xlabel : str, optional
Label for the x axis. Default value: r'$\theta$'.
xrange : tuple of float, optional
Range `(min, max)` for the x axis. Default value: (-1., 1.).
resolution : int, optional
Number of points per axis for the rendering of the squared morphing weights. Default value: 100.
Returns
-------
figure : Figure
Plot as Matplotlib Figure instance.
"""
basis = morpher.basis
assert basis is not None, "No basis defined"
assert basis.shape[1] == 1, "Only 1d problems can be plotted with this function"
theta_test = np.linspace(xrange[0], xrange[1], resolution).reshape((-1, 1))
squared_weights = []
for theta in theta_test:
wi = morpher.calculate_morphing_weights(theta, None)
squared_weights.append(np.sum(wi * wi) ** 0.5)
fig = plt.figure(figsize=(5, 5))
ax = plt.gca()
ax.plot(theta_test.flatten(), squared_weights)
plt.scatter(basis[:, 0], [0.0 for _ in basis[:, 0]], s=50.0, c="black")
plt.xlabel(xlabel)
plt.ylabel(r"$\sqrt{\sum w_i^2}$")
plt.xlim(xrange[0], xrange[1])
plt.ylim(0.0, None)
plt.tight_layout()
return fig
def plot_2d_morphing_basis(
morpher,
xlabel=r"$\theta_0$",
ylabel=r"$\theta_1$",
xrange=(-1.0, 1.0),
yrange=(-1.0, 1.0),
crange=(1.0, 100.0),
resolution=100,
):
"""
Visualizes a morphing basis and morphing errors for problems with a two-dimensional parameter space.
Parameters
----------
morpher : PhysicsMorpher
PhysicsMorpher instance with defined basis.
xlabel : str, optional
Label for the x axis. Default value: r'$\theta_0$'.
ylabel : str, optional
Label for the y axis. Default value: r'$\theta_1$'.
xrange : tuple of float, optional
Range `(min, max)` for the x axis. Default value: (-1., 1.).
yrange : tuple of float, optional
Range `(min, max)` for the y axis. Default value: (-1., 1.).
crange : tuple of float, optional
Range `(min, max)` for the color map. Default value: (1., 100.).
resolution : int, optional
Number of points per axis for the rendering of the squared morphing weights. Default value: 100.
Returns
-------
figure : Figure
Plot as Matplotlib Figure instance.
"""
basis = morpher.basis
assert basis is not None, "No basis defined"
assert basis.shape[1] == 2, "Only 2d problems can be plotted with this function"
xi, yi = (np.linspace(xrange[0], xrange[1], resolution), np.linspace(yrange[0], yrange[1], resolution))
xx, yy = np.meshgrid(xi, yi)
xx, yy = xx.reshape((-1, 1)), yy.reshape((-1, 1))
theta_test = np.hstack([xx, yy])
squared_weights = []
for theta in theta_test:
wi = morpher.calculate_morphing_weights(theta, None)
squared_weights.append(np.sum(wi * wi) ** 0.5)
squared_weights = np.array(squared_weights).reshape((resolution, resolution))
fig = plt.figure(figsize=(6.5, 5))
ax = plt.gca()
pcm = ax.pcolormesh(
xi, yi, squared_weights, norm=matplotlib.colors.LogNorm(vmin=crange[0], vmax=crange[1]), cmap="viridis_r"
)
cbar = fig.colorbar(pcm, ax=ax, extend="both")
plt.scatter(basis[:, 0], basis[:, 1], s=50.0, c="black")
plt.xlabel(xlabel)
plt.ylabel(ylabel)
cbar.set_label(r"$\sqrt{\sum w_i^2}$")
plt.xlim(xrange[0], xrange[1])
plt.ylim(yrange[0], yrange[1])
plt.tight_layout()
return fig
def plot_nd_morphing_basis_scatter(morpher, crange=(1.0, 100.0), n_test_thetas=1000):
"""
Visualizes a morphing basis and morphing errors with scatter plots between each pair of operators.
Parameters
----------
morpher : PhysicsMorpher
PhysicsMorpher instance with defined basis.
crange : tuple of float, optional
Range `(min, max)` for the color map. Default value: (1. 100.).
n_test_thetas : int, optional
Number of random points evaluated. Default value: 1000.
Returns
-------
figure : Figure
Plot as Matplotlib Figure instance.
"""
basis = morpher.basis
assert basis is not None, "No basis defined"
n_parameters = basis.shape[1]
# Get squared weights
thetas, squared_weights = morpher.evaluate_morphing(n_test_thetas=n_test_thetas, return_weights_and_thetas=True)
# Plot
fig = plt.figure(figsize=((n_parameters - 1) * 5.0, (n_parameters - 1) * 4.0))
for iy in range(1, n_parameters):
for ix in range(0, iy):
i_panel = 1 + (iy - 1) * (n_parameters - 1) + ix
ax = plt.subplot(n_parameters - 1, n_parameters - 1, i_panel)
sc = plt.scatter(
thetas[:, ix],
thetas[:, iy],
c=squared_weights,
s=20.0,
norm=matplotlib.colors.LogNorm(vmin=crange[0], vmax=crange[1]),
cmap="viridis_r",
)
cbar = fig.colorbar(sc, ax=ax, extend="both")
plt.scatter(basis[:, ix], basis[:, iy], s=100.0, lw=1.0, edgecolor="black", c="white")
plt.xlabel(r"$\theta_" + str(ix) + "$")
plt.ylabel(r"$\theta_" + str(iy) + "$")
cbar.set_label(r"$\sqrt{\sum w_i^2}$")
plt.tight_layout()
return fig
def plot_nd_morphing_basis_slices(morpher, crange=(1.0, 100.0), resolution=50):
"""
Visualizes a morphing basis and morphing errors with two-dimensional slices through parameter space.
Parameters
----------
morpher : PhysicsMorpher
PhysicsMorpher instance with defined basis.
crange : tuple of float, optional
Range `(min, max)` for the color map.
resolution : int, optional
Number of points per panel and axis for the rendering of the squared morphing weights. Default value: 50.
Returns
-------
figure : Figure
Plot as Matplotlib Figure instance.
"""
basis = morpher.basis
assert basis is not None, "No basis defined"
n_parameters = basis.shape[1]
# Plot
fig = plt.figure(figsize=((n_parameters - 1) * 5.0, (n_parameters - 1) * 4.0))
for iy in range(1, n_parameters):
for ix in range(0, iy):
i_panel = 1 + (iy - 1) * (n_parameters - 1) + ix
ax = plt.subplot(n_parameters - 1, n_parameters - 1, i_panel)
# Grid
xrange = morpher.parameter_range[ix]
yrange = morpher.parameter_range[iy]
xi = np.linspace(xrange[0], xrange[1], resolution)
yi = np.linspace(yrange[0], yrange[1], resolution)
xx, yy = np.meshgrid(xi, yi)
xx, yy = xx.flatten(), yy.flatten()
theta_test = np.zeros((resolution ** 2, n_parameters))
theta_test[:, ix] = xx
theta_test[:, iy] = yy
# Get squared weights
squared_weights = []
for theta in theta_test:
wi = morpher.calculate_morphing_weights(theta, None)
squared_weights.append(np.sum(wi * wi) ** 0.5)
squared_weights = np.array(squared_weights).reshape((resolution, resolution))
pcm = ax.pcolormesh(
xi,
yi,
squared_weights,
norm=matplotlib.colors.LogNorm(vmin=crange[0], vmax=crange[1]),
cmap="viridis_r",
)
cbar = fig.colorbar(pcm, ax=ax, extend="both")
plt.scatter(basis[:, ix], basis[:, iy], s=100.0, lw=1.0, edgecolor="black", c="white")
plt.xlabel(r"$\theta_" + str(ix) + "$")
plt.ylabel(r"$\theta_" + str(iy) + "$")
cbar.set_label(r"$\sqrt{\sum w_i^2}$")
plt.tight_layout()
return fig
| 30.054945 | 116 | 0.599391 | 1,098 | 8,205 | 4.384335 | 0.14663 | 0.049439 | 0.024927 | 0.024927 | 0.822185 | 0.809098 | 0.775239 | 0.724969 | 0.706273 | 0.698587 | 0 | 0.030142 | 0.268129 | 8,205 | 272 | 117 | 30.165441 | 0.771524 | 0.299939 | 0 | 0.553719 | 0 | 0 | 0.068303 | 0 | 0 | 0 | 0 | 0 | 0.049587 | 1 | 0.033058 | false | 0 | 0.033058 | 0 | 0.099174 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
78e84a3a923eaf156fe09b709af1233ccb4ae967 | 23,115 | py | Python | Final_Project/source code/TicTacToeGUI.py | taoyichen/CS110-Assignments-Python | f2e4e485c820b835981e2e4b8bd0a26cc31cfe73 | [
"MIT"
] | null | null | null | Final_Project/source code/TicTacToeGUI.py | taoyichen/CS110-Assignments-Python | f2e4e485c820b835981e2e4b8bd0a26cc31cfe73 | [
"MIT"
] | null | null | null | Final_Project/source code/TicTacToeGUI.py | taoyichen/CS110-Assignments-Python | f2e4e485c820b835981e2e4b8bd0a26cc31cfe73 | [
"MIT"
] | 1 | 2020-06-06T08:21:18.000Z | 2020-06-06T08:21:18.000Z | #Author: Yichen Tao
from tkinter import *
from tkinter import messagebox
from tkinter import simpledialog
from tictactoe import *
class TicTacToeGUI:
def __init__(self):
self.__game_new = TicTacToe()
self.__game_new.set_name_cross_player("No name1")
self.__game_new.set_name_oval_player("No name2")
self.__root_window = Tk()
#self.set_init_gamer()
self.__set_up_GUI()
self.set_init_gamer()
#self.__game_new = TicTacToe()
#self.__game_new.set_name_cross_player("Need attention")
self.__root_window.mainloop()
def __set_up_GUI(self):
#self.__set_init_gamer()
#self.set_init_gamer()
self.__top_name_frame = Frame(self.__root_window)
self.__middle_name_frame = Frame(self.__root_window)
self.__bottom_name_frame = Frame(self.__root_window)
self.__bottom_playing_frame = Frame(self.__root_window)
self.__bottom_game_board_frame = Frame(self.__root_window)
#self.__game_new.set_name_cross_player("Need attention")
self.__cross_player_name_var = StringVar()
self.__cross_player_name_var.set(self.__game_new.get_name_cross_player())
self.__oval_player_name_var = StringVar()
self.__oval_player_name_var.set(self.__game_new.get_name_oval_player())
self.__initiative_name_var = StringVar()
self.__initiative_name_var.set("No name1")
self.__playing_player_name_var = StringVar()
self.__playing_player_name_var.set("No name1")
self.__cross_player_label = Label(self.__top_name_frame,text = "Cross : ")
self.__cross_player_name_label = Label(self.__top_name_frame,textvariable = self.__cross_player_name_var)
self.__cross_name_set_button = Button(self.__top_name_frame,text = "SET NAME")
self.__cross_name_set_button['command'] = self.set_name_cross
self.__oval_player_label = Label(self.__middle_name_frame,text = "Oval : ")
self.__oval_player_name_label = Label(self.__middle_name_frame,textvariable = self.__oval_player_name_var)
self.__oval_name_set_button = Button(self.__middle_name_frame,text = "SET NAME")
self.__oval_name_set_button['command'] = self.set_name_oval
self.__initiative_player_label = Label(self.__bottom_name_frame,text = "Initiative : ")
self.__initiative_player_name_label = Label(self.__bottom_name_frame,textvariable = self.__initiative_name_var)
self.__initiative_name_set_button = Button(self.__bottom_name_frame,text = "SET INITIATIVE")
self.__initiative_name_set_button['command'] = self.set_init_gamer
self.__playing_player_label = Label(self.__bottom_playing_frame,text = "PLAYING : ")
self.__playing_player_name_label = Label(self.__bottom_playing_frame,textvariable = self.__playing_player_name_var)
canvas_width = 40
canvas_height = 40
canvas_bg_1 = "#%02x%02x%02x"%(0,43,54)
canvas_bg_2 ="#%02x%02x%02x"%(42,161,152)
self.__top_left = Canvas(self.__bottom_game_board_frame, width=canvas_width, height=canvas_height)
self.__top_left['bg'] = canvas_bg_1
self.__top_left.bind("<Button-1>", self.set_top_left)
## test = self.__top_left.create_oval(33, 33, 10, 10,width = 5,outline = "red")
## self.__top_left.delete(test)
self.__top_middle = Canvas(self.__bottom_game_board_frame, width=canvas_width, height=canvas_height)
self.__top_middle['bg'] = canvas_bg_2
self.__top_middle.bind("<Button-1>", self.set_top_middle)
#self.__top_middle.create_line(5,5,38,38,width = 5,fill = 'red')
#self.__top_middle.create_line(5,38,38,5,width = 5,fill = 'red')
self.__top_right = Canvas(self.__bottom_game_board_frame, width=canvas_width, height=canvas_height)
self.__top_right['bg'] = canvas_bg_1
self.__top_right.bind("<Button-1>", self.set_top_right)
self.__middle_left = Canvas(self.__bottom_game_board_frame, width=canvas_width, height=canvas_height)
self.__middle_left['bg'] = canvas_bg_2
self.__middle_left.bind("<Button-1>", self.set_middle_left)
self.__middle_middle = Canvas(self.__bottom_game_board_frame, width=canvas_width, height=canvas_height)
self.__middle_middle['bg'] = canvas_bg_1
self.__middle_middle.bind("<Button-1>", self.set_middle_middle)
self.__middle_right = Canvas(self.__bottom_game_board_frame, width=canvas_width, height=canvas_height)
self.__middle_right['bg'] = canvas_bg_2
self.__middle_right.bind("<Button-1>", self.set_middle_right)
self.__bottom_left = Canvas(self.__bottom_game_board_frame, width=canvas_width, height=canvas_height)
self.__bottom_left['bg'] = canvas_bg_1
self.__bottom_left.bind("<Button-1>", self.set_bottom_left)
self.__bottom_middle = Canvas(self.__bottom_game_board_frame, width=canvas_width, height=canvas_height)
self.__bottom_middle['bg'] = canvas_bg_2
self.__bottom_middle.bind("<Button-1>", self.set_bottom_middle)
self.__bottom_right = Canvas(self.__bottom_game_board_frame, width=canvas_width, height=canvas_height)
self.__bottom_right['bg'] = canvas_bg_1
self.__bottom_right.bind("<Button-1>", self.set_bottom_right)
self.__cross_player_label.grid(row = 2,column = 0)
self.__cross_player_name_label.grid(row = 2,column = 1)
self.__cross_name_set_button.grid(row = 2, column = 2)
self.__oval_player_label.grid(row = 2,column = 0)
self.__oval_player_name_label.grid(row = 2,column = 1)
self.__oval_name_set_button.grid(row = 2, column = 2)
self.__initiative_player_label.grid(row = 2,column = 0)
self.__initiative_player_name_label.grid(row = 2,column = 1)
self.__initiative_name_set_button.grid(row = 2, column = 2)
self.__playing_player_label.grid(row = 2,column = 0)
self.__playing_player_name_label.grid(row = 2,column = 1)
self.__top_left.grid(row = 0, column =0)
self.__top_middle.grid(row = 0, column =1)
self.__top_right.grid(row = 0, column =2)
self.__middle_left.grid(row = 1, column =0)
self.__middle_middle.grid(row = 1, column =1)
self.__middle_right.grid(row = 1, column =2)
self.__bottom_left.grid(row = 2, column =0)
self.__bottom_middle.grid(row = 2, column =1)
self.__bottom_right.grid(row = 2, column =2)
self.__top_name_frame.pack()
self.__middle_name_frame.pack()
self.__bottom_name_frame.pack()
self.__bottom_playing_frame.pack()
self.__bottom_game_board_frame.pack()
def set_top_left(self,event):
#print("KKKKKKKKKK")
#print()
board_now = self.__game_new.get_game_board()
if not board_now[0]:
#print("Empty")
if self.__playing_player_name_var.get() == self.__game_new.get_name_cross_player():
#print("OOOOOO")
top_left_line1 = self.__top_left.create_line(5,5,38,38,width = 5,fill = 'red')
top_left_line2 = self.__top_left.create_line(5,38,38,5,width = 5,fill = 'red')
#print("PPPPPPPPPPPPPPP")
else:
top_left_oval = self.__top_left.create_oval(33, 33, 10, 10,width = 5,outline = "red")
self.__game_new.play_game(0)
player = self.__game_new.get_inner_count()
if player == 0:
self.__playing_player_name_var.set(self.__game_new.get_initiative_player())
else:
#print("step1")
if self.__game_new.get_initiative_player() == self.__game_new.get_name_cross_player():
print("step2")
self.__playing_player_name_var.set(self.__game_new.get_name_oval_player())
else:
#print("step3")
self.__playing_player_name_var.set(self.__game_new.get_name_cross_player())
results = self.__game_new.check_game_status()
if results[0]:
if results[1] == self.__game_new.CROSS:
messagebox.showinfo("Congratulations",self.__game_new.get_name_cross_player()+" is the winner!")
else:
messagebox.showinfo("Congratulations",self.__game_new.get_name_oval_player()+" is the winner!")
self.reset()
#print(str(self.__game_new))
elif self.check_if_tie(board_now):
messagebox.showinfo("Congratulations","Game is over, no one is the winner")
self.reset()
def set_top_middle(self,event):
board_now = self.__game_new.get_game_board()
if not board_now[1]:
#print("KKKKKKKKKK")
#print()
if self.__playing_player_name_var.get() == self.__game_new.get_name_cross_player():
#print("OOOOOO")
top_middle_line1 = self.__top_middle.create_line(5,5,38,38,width = 5,fill = 'red')
top_middle_line2 = self.__top_middle.create_line(5,38,38,5,width = 5,fill = 'red')
#print("PPPPPPPPPPPPPPP")
else:
top_middle_oval = self.__top_middle.create_oval(33, 33, 10, 10,width = 5,outline = "red")
self.__game_new.play_game(1)
player = self.__game_new.get_inner_count()
if player == 0:
self.__playing_player_name_var.set(self.__game_new.get_initiative_player())
else:
if self.__game_new.get_initiative_player() == self.__game_new.get_name_cross_player():
self.__playing_player_name_var.set(self.__game_new.get_name_oval_player())
else:
self.__playing_player_name_var.set(self.__game_new.get_name_cross_player())
results = self.__game_new.check_game_status()
if results[0]:
if results[1] == self.__game_new.CROSS:
messagebox.showinfo("Congratulations",self.__game_new.get_name_cross_player()+" is the winner!")
else:
messagebox.showinfo("Congratulations",self.__game_new.get_name_oval_player()+" is the winner!")
self.reset()
#print(str(self.__game_new))
elif self.check_if_tie(board_now):
messagebox.showinfo("Congratulations","Game is over, no one is the winner")
self.reset()
def set_top_right(self,event):
board_now = self.__game_new.get_game_board()
if not board_now[2]:
#print("KKKKKKKKKK")
#print()
if self.__playing_player_name_var.get() == self.__game_new.get_name_cross_player():
#print("OOOOOO")
top_right_line1 = self.__top_right.create_line(5,5,38,38,width = 5,fill = 'red')
top_right_line2 = self.__top_right.create_line(5,38,38,5,width = 5,fill = 'red')
#print("PPPPPPPPPPPPPPP")
else:
top_right_oval = self.__top_right.create_oval(33, 33, 10, 10,width = 5,outline = "red")
self.__game_new.play_game(2)
player = self.__game_new.get_inner_count()
if player == 0:
self.__playing_player_name_var.set(self.__game_new.get_initiative_player())
else:
if self.__game_new.get_initiative_player() == self.__game_new.get_name_cross_player():
self.__playing_player_name_var.set(self.__game_new.get_name_oval_player())
else:
self.__playing_player_name_var.set(self.__game_new.get_name_cross_player())
results = self.__game_new.check_game_status()
if results[0]:
if results[1] == self.__game_new.CROSS:
messagebox.showinfo("Congratulations",self.__game_new.get_name_cross_player()+" is the winner!")
else:
messagebox.showinfo("Congratulations",self.__game_new.get_name_oval_player()+" is the winner!")
self.reset()
#print(str(self.__game_new))
elif self.check_if_tie(board_now):
messagebox.showinfo("Congratulations","Game is over, no one is the winner")
self.reset()
def set_middle_left(self,event):
board_now = self.__game_new.get_game_board()
if not board_now[3]:
#print("KKKKKKKKKK")
#print()
if self.__playing_player_name_var.get() == self.__game_new.get_name_cross_player():
#print("OOOOOO")
middle_left_line1 = self.__middle_left.create_line(5,5,38,38,width = 5,fill = 'red')
middle_left_line2 = self.__middle_left.create_line(5,38,38,5,width = 5,fill = 'red')
#print("PPPPPPPPPPPPPPP")
else:
middle_left_oval = self.__middle_left.create_oval(33, 33, 10, 10,width = 5,outline = "red")
self.__game_new.play_game(3)
player = self.__game_new.get_inner_count()
if player == 0:
self.__playing_player_name_var.set(self.__game_new.get_initiative_player())
else:
if self.__game_new.get_initiative_player() == self.__game_new.get_name_cross_player():
self.__playing_player_name_var.set(self.__game_new.get_name_oval_player())
else:
self.__playing_player_name_var.set(self.__game_new.get_name_cross_player())
results = self.__game_new.check_game_status()
if results[0]:
if results[1] == self.__game_new.CROSS:
messagebox.showinfo("Congratulations",self.__game_new.get_name_cross_player()+" is the winner!")
else:
messagebox.showinfo("Congratulations",self.__game_new.get_name_oval_player()+" is the winner!")
self.reset()
#print(str(self.__game_new))
elif self.check_if_tie(board_now):
messagebox.showinfo("Congratulations","Game is over, no one is the winner")
self.reset()
def set_middle_middle(self,event):
board_now = self.__game_new.get_game_board()
if not board_now[4]:
#print("KKKKKKKKKK")
#print()
if self.__playing_player_name_var.get() == self.__game_new.get_name_cross_player():
#print("OOOOOO")
middle_middle_line1 = self.__middle_middle.create_line(5,5,38,38,width = 5,fill = 'red')
middle_middle_line2 = self.__middle_middle.create_line(5,38,38,5,width = 5,fill = 'red')
#print("PPPPPPPPPPPPPPP")
else:
middle_middle_oval = self.__middle_middle.create_oval(33, 33, 10, 10,width = 5,outline = "red")
self.__game_new.play_game(4)
player = self.__game_new.get_inner_count()
if player == 0:
self.__playing_player_name_var.set(self.__game_new.get_initiative_player())
else:
if self.__game_new.get_initiative_player() == self.__game_new.get_name_cross_player():
self.__playing_player_name_var.set(self.__game_new.get_name_oval_player())
else:
self.__playing_player_name_var.set(self.__game_new.get_name_cross_player())
results = self.__game_new.check_game_status()
if results[0]:
if results[1] == self.__game_new.CROSS:
messagebox.showinfo("Congratulations",self.__game_new.get_name_cross_player()+" is the winner!")
else:
messagebox.showinfo("Congratulations",self.__game_new.get_name_oval_player()+" is the winner!")
self.reset()
#print(str(self.__game_new))
elif self.check_if_tie(board_now):
messagebox.showinfo("Congratulations","Game is over, no one is the winner")
self.reset()
def set_middle_right(self,event):
board_now = self.__game_new.get_game_board()
if not board_now[5]:
#print("KKKKKKKKKK")
#print()
if self.__playing_player_name_var.get() == self.__game_new.get_name_cross_player():
#print("OOOOOO")
middle_right_line1 = self.__middle_right.create_line(5,5,38,38,width = 5,fill = 'red')
middle_right_line2 = self.__middle_right.create_line(5,38,38,5,width = 5,fill = 'red')
#print("PPPPPPPPPPPPPPP")
else:
middle_right_oval = self.__middle_right.create_oval(33, 33, 10, 10,width = 5,outline = "red")
self.__game_new.play_game(5)
player = self.__game_new.get_inner_count()
if player == 0:
self.__playing_player_name_var.set(self.__game_new.get_initiative_player())
else:
if self.__game_new.get_initiative_player() == self.__game_new.get_name_cross_player():
self.__playing_player_name_var.set(self.__game_new.get_name_oval_player())
else:
self.__playing_player_name_var.set(self.__game_new.get_name_cross_player())
results = self.__game_new.check_game_status()
if results[0]:
if results[1] == self.__game_new.CROSS:
messagebox.showinfo("Congratulations",self.__game_new.get_name_cross_player()+" is the winner!")
else:
messagebox.showinfo("Congratulations",self.__game_new.get_name_oval_player()+" is the winner!")
self.reset()
#print(str(self.__game_new))
elif self.check_if_tie(board_now):
messagebox.showinfo("Congratulations","Game is over, no one is the winner")
self.reset()
def set_bottom_left(self,event):
board_now = self.__game_new.get_game_board()
if not board_now[6]:
#print("KKKKKKKKKK")
#print()
if self.__playing_player_name_var.get() == self.__game_new.get_name_cross_player():
#print("OOOOOO")
bottom_left_line1 = self.__bottom_left.create_line(5,5,38,38,width = 5,fill = 'red')
bottom_left_line2 = self.__bottom_left.create_line(5,38,38,5,width = 5,fill = 'red')
#print("PPPPPPPPPPPPPPP")
else:
bottom_left_oval = self.__bottom_left.create_oval(33, 33, 10, 10,width = 5,outline = "red")
self.__game_new.play_game(6)
player = self.__game_new.get_inner_count()
if player == 0:
self.__playing_player_name_var.set(self.__game_new.get_initiative_player())
else:
if self.__game_new.get_initiative_player() == self.__game_new.get_name_cross_player():
self.__playing_player_name_var.set(self.__game_new.get_name_oval_player())
else:
self.__playing_player_name_var.set(self.__game_new.get_name_cross_player())
results = self.__game_new.check_game_status()
if results[0]:
if results[1] == self.__game_new.CROSS:
messagebox.showinfo("Congratulations",self.__game_new.get_name_cross_player()+" is the winner!")
else:
messagebox.showinfo("Congratulations",self.__game_new.get_name_oval_player()+" is the winner!")
self.reset()
#print(str(self.__game_new))
elif self.check_if_tie(board_now):
messagebox.showinfo("Congratulations","Game is over, no one is the winner")
self.reset()
def set_bottom_middle(self,event):
board_now = self.__game_new.get_game_board()
if not board_now[7]:
#print("KKKKKKKKKK")
#print()
if self.__playing_player_name_var.get() == self.__game_new.get_name_cross_player():
#print("OOOOOO")
bottom_middle_line1 = self.__bottom_middle.create_line(5,5,38,38,width = 5,fill = 'red')
bottom_middle_line2 = self.__bottom_middle.create_line(5,38,38,5,width = 5,fill = 'red')
#print("PPPPPPPPPPPPPPP")
else:
bottom_middle_oval = self.__bottom_middle.create_oval(33, 33, 10, 10,width = 5,outline = "red")
self.__game_new.play_game(7)
player = self.__game_new.get_inner_count()
if player == 0:
self.__playing_player_name_var.set(self.__game_new.get_initiative_player())
else:
if self.__game_new.get_initiative_player() == self.__game_new.get_name_cross_player():
self.__playing_player_name_var.set(self.__game_new.get_name_oval_player())
else:
self.__playing_player_name_var.set(self.__game_new.get_name_cross_player())
results = self.__game_new.check_game_status()
if results[0]:
if results[1] == self.__game_new.CROSS:
messagebox.showinfo("Congratulations",self.__game_new.get_name_cross_player()+" is the winner!")
else:
messagebox.showinfo("Congratulations",self.__game_new.get_name_oval_player()+" is the winner!")
self.reset()
#print(str(self.__game_new))
elif self.check_if_tie(board_now):
messagebox.showinfo("Congratulations","Game is over, no one is the winner")
self.reset()
def set_bottom_right(self,event):
board_now = self.__game_new.get_game_board()
if not board_now[8]:
#print("KKKKKKKKKK")
#print()
if self.__playing_player_name_var.get() == self.__game_new.get_name_cross_player():
#print("OOOOOO")
bottom_right_line1 = self.__bottom_right.create_line(5,5,38,38,width = 5,fill = 'red')
bottom_right_line2 = self.__bottom_right.create_line(5,38,38,5,width = 5,fill = 'red')
#print("PPPPPPPPPPPPPPP")
else:
bottom_right_oval = self.__bottom_right.create_oval(33, 33, 10, 10,width = 5,outline = "red")
self.__game_new.play_game(8)
player = self.__game_new.get_inner_count()
if player == 0:
self.__playing_player_name_var.set(self.__game_new.get_initiative_player())
else:
if self.__game_new.get_initiative_player() == self.__game_new.get_name_cross_player():
self.__playing_player_name_var.set(self.__game_new.get_name_oval_player())
else:
self.__playing_player_name_var.set(self.__game_new.get_name_cross_player())
results = self.__game_new.check_game_status()
if results[0]:
if results[1] == self.__game_new.CROSS:
messagebox.showinfo("Congratulations",self.__game_new.get_name_cross_player()+" is the winner!")
else:
messagebox.showinfo("Congratulations",self.__game_new.get_name_oval_player()+" is the winner!")
self.reset()
#print(str(self.__game_new))
elif self.check_if_tie(board_now):
messagebox.showinfo("Congratulations","Game is over, no one is the winner")
self.reset()
def set_init_gamer(self):
self.__game_new.set_initiative_player()
self.__initiative_name_var.set(self.__game_new.get_initiative_player())
player = self.__game_new.get_inner_count()
if player == 0:
self.__playing_player_name_var.set(self.__game_new.get_initiative_player())
else:
if self.__game_new.get_initiative_player() == self.__game_new.get_name_cross_player():
self.__playing_player_name_var.set(self.__game_new.get_name_oval_player())
else:
self.__playing_player_name_var.set(self.__game_new.get_name_cross_player())
def check_if_tie(self,game_board):
count = 0
for item in game_board:
if item:
count+=1
if count == 9:
answer = True
else:
answer = False
return answer
def set_name_cross(self):
cross_name = simpledialog.askstring("Enter name","Enter name of people using cross.",parent = self.__root_window)
if not (cross_name == self.__game_new.get_name_oval_player()):
self.__game_new.set_name_cross_player(cross_name)
self.__cross_player_name_var.set(self.__game_new.get_name_cross_player())
else:
messagebox.showerror("Error","Do not input same names.")
def reset(self):
self.__game_new.reset()
self.__top_left.delete(ALL)
self.__top_middle.delete(ALL)
self.__top_right.delete(ALL)
self.__middle_left.delete(ALL)
self.__middle_middle.delete(ALL)
self.__middle_right.delete(ALL)
self.__bottom_left.delete(ALL)
self.__bottom_middle.delete(ALL)
self.__bottom_right.delete(ALL)
def set_name_oval(self):
oval_name = simpledialog.askstring("Enter name","Enter name of people using oval.",parent = self.__root_window)
if not (oval_name == self.__game_new.get_name_cross_player()):
self.__game_new.set_name_oval_player(oval_name)
self.__oval_player_name_var.set(self.__game_new.get_name_oval_player())
else:
messagebox.showerror("Error","Do not input same names.")
if __name__ == "__main__":
TicTacToeGUI()
| 47.077393 | 119 | 0.704175 | 3,315 | 23,115 | 4.369834 | 0.041931 | 0.082839 | 0.113144 | 0.099544 | 0.873464 | 0.830802 | 0.750863 | 0.736711 | 0.717796 | 0.69902 | 0 | 0.020615 | 0.175254 | 23,115 | 490 | 120 | 47.173469 | 0.739247 | 0.057538 | 0 | 0.529563 | 0 | 0 | 0.067805 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041131 | false | 0 | 0.010283 | 0 | 0.056555 | 0.002571 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
60292f6b88d6d00e5b5f042250a22a1db21fc964 | 186 | py | Python | Django_UCSD/Registration/admin.py | yotohoshi/UCSDweb_design | eb6e9b61b78b33456c083bb3cb910b00fd527665 | [
"MIT"
] | null | null | null | Django_UCSD/Registration/admin.py | yotohoshi/UCSDweb_design | eb6e9b61b78b33456c083bb3cb910b00fd527665 | [
"MIT"
] | null | null | null | Django_UCSD/Registration/admin.py | yotohoshi/UCSDweb_design | eb6e9b61b78b33456c083bb3cb910b00fd527665 | [
"MIT"
] | null | null | null | from django.contrib import admin
from Registration.models import AccountManager, Account
# Register your models here.
# admin.site.register(AccountManager)
admin.site.register(Account)
| 26.571429 | 55 | 0.827957 | 23 | 186 | 6.695652 | 0.565217 | 0.116883 | 0.220779 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.096774 | 186 | 6 | 56 | 31 | 0.916667 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
60467701e46d7d52630c8400d74ef1675ca9dcba | 78 | py | Python | py_tdlib/constructors/notification_group_type_mentions.py | Mr-TelegramBot/python-tdlib | 2e2d21a742ebcd439971a32357f2d0abd0ce61eb | [
"MIT"
] | 24 | 2018-10-05T13:04:30.000Z | 2020-05-12T08:45:34.000Z | py_tdlib/constructors/notification_group_type_mentions.py | MrMahdi313/python-tdlib | 2e2d21a742ebcd439971a32357f2d0abd0ce61eb | [
"MIT"
] | 3 | 2019-06-26T07:20:20.000Z | 2021-05-24T13:06:56.000Z | py_tdlib/constructors/notification_group_type_mentions.py | MrMahdi313/python-tdlib | 2e2d21a742ebcd439971a32357f2d0abd0ce61eb | [
"MIT"
] | 5 | 2018-10-05T14:29:28.000Z | 2020-08-11T15:04:10.000Z | from ..factory import Type
class notificationGroupTypeMentions(Type):
pass
| 13 | 42 | 0.807692 | 8 | 78 | 7.875 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.128205 | 78 | 5 | 43 | 15.6 | 0.926471 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.333333 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 6 |
60700c2b40027a0fadb18aa778a09335a19debe6 | 138 | py | Python | src/reactivestate/__init__.py | k-groenbroek/reactivestate | c228085dc2ca014c4aae4216e655f9cfa1d59fc5 | [
"MIT"
] | null | null | null | src/reactivestate/__init__.py | k-groenbroek/reactivestate | c228085dc2ca014c4aae4216e655f9cfa1d59fc5 | [
"MIT"
] | null | null | null | src/reactivestate/__init__.py | k-groenbroek/reactivestate | c228085dc2ca014c4aae4216e655f9cfa1d59fc5 | [
"MIT"
] | null | null | null | from .api.observable import observable
from .api.computed import computed
from .api.observe import observe
from .api.action import action
| 27.6 | 38 | 0.826087 | 20 | 138 | 5.7 | 0.35 | 0.245614 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.115942 | 138 | 4 | 39 | 34.5 | 0.934426 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
60790ee51eb5360c605853759324156dc486761f | 15 | py | Python | lab1/es3/main.py | haraldmeister/Programming_for_IoT_applications | 04ec13689caee1fca28bf4fb6a261c318ebd374d | [
"Apache-2.0"
] | null | null | null | lab1/es3/main.py | haraldmeister/Programming_for_IoT_applications | 04ec13689caee1fca28bf4fb6a261c318ebd374d | [
"Apache-2.0"
] | null | null | null | lab1/es3/main.py | haraldmeister/Programming_for_IoT_applications | 04ec13689caee1fca28bf4fb6a261c318ebd374d | [
"Apache-2.0"
] | null | null | null | import json
| 5 | 12 | 0.666667 | 2 | 15 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 15 | 2 | 13 | 7.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
60b99ebe839d6c97ddf58cab3cdaffe8ef4eb6b2 | 140 | py | Python | success/views.py | gtoffoli/commons-success | fcd2b5fe9ebdc592841e6fe0e07a1d80c7284295 | [
"Apache-2.0"
] | null | null | null | success/views.py | gtoffoli/commons-success | fcd2b5fe9ebdc592841e6fe0e07a1d80c7284295 | [
"Apache-2.0"
] | null | null | null | success/views.py | gtoffoli/commons-success | fcd2b5fe9ebdc592841e6fe0e07a1d80c7284295 | [
"Apache-2.0"
] | null | null | null | from django.http import HttpResponse, HttpResponseRedirect
def home(request):
return HttpResponseRedirect('/project/success-erasmus/')
| 28 | 60 | 0.807143 | 14 | 140 | 8.071429 | 0.928571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1 | 140 | 4 | 61 | 35 | 0.896825 | 0 | 0 | 0 | 0 | 0 | 0.178571 | 0.178571 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0.333333 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 6 |
60bad5cdcdf6fa5b5cabd96d20730737067804bd | 4,611 | py | Python | core/semantic_test.py | zilON/hayaku | 18feb81a6801513f6fbddb5eb537d8a15d64bd67 | [
"MIT"
] | null | null | null | core/semantic_test.py | zilON/hayaku | 18feb81a6801513f6fbddb5eb537d8a15d64bd67 | [
"MIT"
] | null | null | null | core/semantic_test.py | zilON/hayaku | 18feb81a6801513f6fbddb5eb537d8a15d64bd67 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import unittest
from probe import hayaku_extract
class SematicAbbrTests(unittest.TestCase):
def test_0(self):
self.assertEqual(hayaku_extract('fs'), 'font-size')
def test_1(self):
self.assertEqual(hayaku_extract('fst'), 'font-style')
def test_2(self):
self.assertEqual(hayaku_extract('w1'), 'width: 1px')
def test_3(self):
self.assertEqual(hayaku_extract('w1p'), 'width: 1px')
def test_4(self):
self.assertEqual(hayaku_extract('w1px'), 'width: 1px')
def test_5(self):
self.assertEqual(hayaku_extract('w1.1'), 'width: 1.1em')
def test_6(self):
self.assertEqual(hayaku_extract('w.1'), 'width: .1em')
def test_7(self):
self.assertEqual(hayaku_extract('w1.0'), 'width: 1em')
def test_8(self):
self.assertEqual(hayaku_extract('w1.'), 'width: 1em')
def test_9(self):
self.assertEqual(hayaku_extract('w1e'), 'width: 1em')
def test_10(self):
self.assertEqual(hayaku_extract('m-1'), 'margin: -1px')
def test_11(self):
self.assertEqual(hayaku_extract('m-.1'), 'margin: -.1em')
def test_12(self):
self.assertEqual(hayaku_extract('m0'), 'margin: 0')
def test_13(self):
self.assertEqual(hayaku_extract('m0.0'), 'margin: 0')
def test_14(self):
self.assertEqual(hayaku_extract('m-0.0'), 'margin: 0')
def test_15(self):
self.assertEqual(hayaku_extract('h1.100'), 'height: 1.1em')
def test_16(self):
self.assertEqual(hayaku_extract('p1m'), 'padding: 1mm')
def test_17(self):
self.assertEqual(hayaku_extract('p1%'), 'padding: 1%')
def test_18(self):
self.assertEqual(hayaku_extract('p.23pe'), 'padding: .23%')
def test_19(self):
self.assertEqual(hayaku_extract('p2.p'), 'padding: 2px')
def test_20(self):
self.assertEqual(hayaku_extract('p2.3p'), 'padding: 2.3px')
def test_21(self):
self.assertEqual(hayaku_extract('p3x'), 'padding: 3ex')
def test_22(self):
self.assertEqual(hayaku_extract('p3w'), 'padding: 3vw')
def test_23(self):
self.assertEqual(hayaku_extract('p3h'), 'padding: 3vh')
def test_24(self):
self.assertEqual(hayaku_extract('p3c'), 'padding: 3ch')
def test_25(self):
self.assertEqual(hayaku_extract('p3r'), 'padding: 3rem')
def test_26(self):
self.assertEqual(hayaku_extract('p3i'), 'padding: 3in')
def test_27(self):
self.assertEqual(hayaku_extract('p3t'), 'padding: 3pt')
def test_28(self):
self.assertEqual(hayaku_extract('b2'), 'bottom: 2px')
def test_29(self):
self.assertEqual(hayaku_extract('bd2'), 'border: 2px')
def test_30(self):
self.assertEqual(hayaku_extract('bw'), 'border-width: 2px')
def test_31(self):
self.assertEqual(hayaku_extract('blw'), 'border-left-width: 2px')
def test_32(self):
self.assertEqual(hayaku_extract('bdF'), 'border: #FFF')
def test_33(self):
self.assertEqual(hayaku_extract('bdF'), 'border: #FFF')
def test_34(self):
self.assertEqual(hayaku_extract('bd#0'), 'border: #000')
def test_35(self):
self.assertEqual(hayaku_extract('baF'), 'background: #FFF')
def test_36(self):
self.assertEqual(hayaku_extract('ba#f'), 'background: #FFF')
def test_37(self):
self.assertEqual(hayaku_extract('ba3'), 'background: #333')
def test_38(self):
self.assertEqual(hayaku_extract('ba3p'), 'background: 3px')
def test_39(self):
self.assertEqual(hayaku_extract('c00'), 'color: #000')
def test_40(self):
self.assertEqual(hayaku_extract('c02'), 'color: #000')
def test_41(self):
self.assertEqual(hayaku_extract('z1'), 'zoom: 1')
def test_42(self):
self.assertEqual(hayaku_extract('zi1'), 'z-index: 1')
def test_43(self):
self.assertEqual(hayaku_extract('zi-4'), 'z-index: -4')
def test_44(self):
self.assertEqual(hayaku_extract('fs4'), 'font-size: 4px')
def test_issue_83_1(self):
self.assertEqual(hayaku_extract('co'), 'color')
def test_issue_83_2(self):
self.assertEqual(hayaku_extract('con'), 'content')
def test_issue_83_3(self):
self.assertEqual(hayaku_extract('conn'), 'content: normal;')
def test_issue_76_1(self):
self.assertEqual(hayaku_extract('text-decoration'), 'text-decoration')
def test_issue_76_2(self):
self.assertEqual(hayaku_extract('border'), 'border')
if __name__ == '__main__':
unittest.main()
| 29 | 78 | 0.635437 | 601 | 4,611 | 4.677205 | 0.241265 | 0.235859 | 0.337958 | 0.444682 | 0.611526 | 0.259338 | 0.092494 | 0.064746 | 0.036286 | 0.036286 | 0 | 0.052803 | 0.199089 | 4,611 | 158 | 79 | 29.183544 | 0.708367 | 0.004554 | 0 | 0.019048 | 0 | 0 | 0.168701 | 0 | 0 | 0 | 0 | 0 | 0.47619 | 1 | 0.47619 | false | 0 | 0.019048 | 0 | 0.504762 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 6 |
880f42db95f8ec0bc3b663981c73826157fefa94 | 2,625 | py | Python | Python/libraries/recognizers-sequence/recognizers_sequence/resources/base_phone_numbers.py | Irrelevances/Recognizers-Text | 630ce12bb47e201f663d72c31c680f6d40171962 | [
"MIT"
] | null | null | null | Python/libraries/recognizers-sequence/recognizers_sequence/resources/base_phone_numbers.py | Irrelevances/Recognizers-Text | 630ce12bb47e201f663d72c31c680f6d40171962 | [
"MIT"
] | null | null | null | Python/libraries/recognizers-sequence/recognizers_sequence/resources/base_phone_numbers.py | Irrelevances/Recognizers-Text | 630ce12bb47e201f663d72c31c680f6d40171962 | [
"MIT"
] | null | null | null | # ------------------------------------------------------------------------------
# <auto-generated>
# This code was generated by a tool.
# Changes to this file may cause incorrect behavior and will be lost if
# the code is regenerated.
# </auto-generated>
# ------------------------------------------------------------------------------
# pylint: disable=line-too-long
class BasePhoneNumbers:
NumberReplaceToken = '@builtin.phonenumber'
GeneralPhoneNumberRegex = f'(\\b(((\\d[\\s]?){{7,15}}\\d))(?!-)\\b)|(\\(\\d{{5}}\\)\\s?\\d{{5,6}})|\\+\\d{{2}}\\(\\d\\)\\d{{10}}'
BRPhoneNumberRegex = f'(((\\B\\(\\s?))\\d{{2,3}}(\\s?\\))|(\\b\\d{{2,3}}))\\s?\\d{{4,5}}-?\\d{{3,5}}(?!-)\\b'
UKPhoneNumberRegex = f'(((\\b(00)|\\B\\+)\\s?)?(\\b\\d{{2}}\\s?)?((\\s?\\(0\\)[-\\s]?|\\b|(?<=(\\b^#)\\d{{2}}))\\d{{2,5}}|\\(0\\d{{3,4}}\\))[/-]?\\s?(\\d{{5,8}}|\\d{{3,4}}[-\\s]?\\d{{3,4}})(?!-)\\b)'
DEPhoneNumberRegex = f'((\\+\\d{{2}}\\s?((\\(0\\))?\\d\\s?)?|\\b)(\\d{{2,4}}\\s?[-/]?[\\s\\d]{{7,10}}\\d)(?!-)\\b)'
USPhoneNumberRegex = f'((((\\B\\+)|\\b)1(\\s|-)?)|\\b)?(\\d{{3}}\\)[-\\s]?|\\(\\d{{3}}\\)[-\\s]?|\\b\\d{{3}}\\s?[-\\.]?\\s?)\\d{{3}}\\s?[-\\.]?\\s?\\d{{4}}(\\s?(x|X|ext)\\s?\\d{{3,5}})?(?!(-\\s?\\d))\\b'
CNPhoneNumberRegex = f'((\\b00\\s?)?\\+?86\\s?-?\\s?)?(((\\b|(?<=86))\\d{{2,5}}\\s?-?\\s?|\\(\\d{{2,5}}\\)\\s?)\\d{{4}}\\s?-?\\s?\\d{{4}}(\\s?-?\\s?\\d{{4}})?|(\\b|(?<=86))\\d{{3}}\\s?-?\\s?\\d{{4}}\\s?-?\\s?\\d{{4}})(?!-)\\b'
DKPhoneNumberRegex = f'((\\(\\s?(\\+\\s?|00)45\\s?\\)\\s?)|(((?<!\\d)\\+\\s?|\\b00)45\\s?)|\\b)(\\s?\\(0\\)\\s?)?((\\d{{8}})|(\\d{{4}}\\s?-?\\s?\\d{{4,6}})|((\\d{{2}}[\\s-]){{3}}\\d{{2}})|(\\d{{2}}\\s?-?\\s?\\d{{3}}\\s?-?\\s?\\d{{3}}))(?!-)\\b'
ITPhoneNumberRegex = f'((\\(\\s?(\\+\\s?|00)39\\s?\\)\\s?)|(((?<!\\d)\\+\\s?|\\b00)39\\s?)|\\b)((0[\\d\\s-]{{4,12}}\\d)|(3[\\d\\s-]{{7,12}}\\d))(?!-)\\b'
NLPhoneNumberRegex = f'((((\\(\\s?(\\+\\s?|00)31\\s?\\)\\s?)|(((?<!\\d)\\+\\s?|\\b00)31\\s?))?(((\\b|(?<=31))0?\\d{{1,3}}|\\(\\s?0?\\d{{1,3}}\\s?\\)|\\(0\\)[-\\s]?\\d{{1,3}})\\s?-?[\\d\\s]{{5,11}}\\d))|\\b\\d{{10,12}})(?!-)\\b'
SpecialPhoneNumberRegex = f'\\b(\\d{{3,4}}[/-]\\d{{1,4}}[/-]\\d{{3,4}})\\b'
TypicalDeductionRegexList = ['^\\d{3}-\\d{2}-\\d{4}$', '^\\d{5}-\\d{4}$']
PhoneNumberMaskRegex = f'([0-9A-E]{{2}}(\\s[0-9A-E]{{2}}){{7}})'
CountryCodeRegex = f'^(\\(\\s?(\\+\\s?|00)\\d{{1,3}}\\s?\\)|(\\+\\s?|00)\\d{{1,3}})'
AreaCodeIndicatorRegex = f'\\('
FormatIndicatorRegex = f'(\\s|-|/|\\.)+'
SpecialBoundaryMarkers = ['-', ' ']
BoundaryMarkers = ['-', '.', '/', '+', '#', '*']
# pylint: enable=line-too-long
| 87.5 | 248 | 0.351238 | 382 | 2,625 | 2.413613 | 0.204188 | 0.056399 | 0.045553 | 0.02603 | 0.12039 | 0.079176 | 0.042299 | 0.019523 | 0.019523 | 0 | 0 | 0.062834 | 0.072381 | 2,625 | 29 | 249 | 90.517241 | 0.315811 | 0.149714 | 0 | 0 | 1 | 0.631579 | 0.725473 | 0.69847 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 6 |
7180d498d9ab482d82ca2bff31f2f58b020bc1bb | 347 | py | Python | tests/plots/test_dependence.py | santanaangel/shap | 1c1c4a45440f3475b8544251f9d9e5b43977cd0e | [
"MIT"
] | 13 | 2019-07-04T11:40:24.000Z | 2021-09-10T09:54:36.000Z | tests/plots/test_dependence.py | santanaangel/shap | 1c1c4a45440f3475b8544251f9d9e5b43977cd0e | [
"MIT"
] | 3 | 2022-02-13T19:32:27.000Z | 2022-02-27T09:45:10.000Z | tests/plots/test_dependence.py | santanaangel/shap | 1c1c4a45440f3475b8544251f9d9e5b43977cd0e | [
"MIT"
] | 10 | 2019-09-09T13:56:49.000Z | 2021-10-01T20:08:35.000Z | import matplotlib
import numpy as np
matplotlib.use('Agg')
import shap
def test_random_dependence():
shap.dependence_plot(0, np.random.randn(20, 5), np.random.randn(20, 5), show=False)
def test_random_dependence_no_interaction():
shap.dependence_plot(0, np.random.randn(20, 5), np.random.randn(20, 5), show=False, interaction_index=None) | 34.7 | 111 | 0.763689 | 56 | 347 | 4.571429 | 0.410714 | 0.125 | 0.203125 | 0.234375 | 0.46875 | 0.46875 | 0.46875 | 0.46875 | 0.46875 | 0.46875 | 0 | 0.044872 | 0.100865 | 347 | 10 | 111 | 34.7 | 0.775641 | 0 | 0 | 0 | 0 | 0 | 0.008621 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | true | 0 | 0.375 | 0 | 0.625 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
71ceba7eae281bb4aa1a2acce189dcbfcb6a7674 | 16,016 | py | Python | tests/test_pyPodcastParser.py | iheartradio/pyPodcastParser | 23545d487299ce1c5059f34f73dc87f72eb0172b | [
"MIT"
] | null | null | null | tests/test_pyPodcastParser.py | iheartradio/pyPodcastParser | 23545d487299ce1c5059f34f73dc87f72eb0172b | [
"MIT"
] | 1 | 2020-07-15T15:19:01.000Z | 2020-07-15T15:19:01.000Z | tests/test_pyPodcastParser.py | iheartradio/pyPodcastParser | 23545d487299ce1c5059f34f73dc87f72eb0172b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import datetime
import os
import unittest
from pypodcastparser import Podcast
# py.test test_pypodcastparser.py
#######
# coverage run --source pypodcastparser -m py.test
#######
# py.test --cov=pypodcastparser tests/
#######
# py.test -v --capture=sys tests/test_pypodcastparser.py
class TestTest(unittest.TestCase):
def test_loading_sample_data(self):
self.assertEqual(True, True)
class TestValidRSSCheck(unittest.TestCase):
def setUp(self):
test_dir = os.path.dirname(__file__)
test_feeds_dir = os.path.join(test_dir, 'test_feeds')
basic_podcast_path = os.path.join(test_feeds_dir, 'itunes_block_podcast.rss')
basic_podcast_file = open(basic_podcast_path, "rb")
self.basic_podcast = basic_podcast_file.read()
self.podcast = Podcast.Podcast(self.basic_podcast)
class TestInvalidRSSCheck(unittest.TestCase):
def setUp(self):
test_dir = os.path.dirname(__file__)
test_feeds_dir = os.path.join(test_dir, 'test_feeds')
basic_podcast_path = os.path.join(test_feeds_dir, 'missing_info_podcast.rss')
basic_podcast_file = open(basic_podcast_path, "rb")
self.basic_podcast = basic_podcast_file.read()
self.podcast = Podcast.Podcast(self.basic_podcast)
class TestBasicFeedItemBlocked(unittest.TestCase):
def setUp(self):
test_dir = os.path.dirname(__file__)
test_feeds_dir = os.path.join(test_dir, 'test_feeds')
basic_podcast_path = os.path.join(test_feeds_dir, 'itunes_block_podcast.rss')
basic_podcast_file = open(basic_podcast_path, "rb")
self.basic_podcast = basic_podcast_file.read()
self.podcast = Podcast.Podcast(self.basic_podcast)
def test_item_itunes_block(self):
self.assertEqual(self.podcast.itunes_block, True)
def test_item_itunes_explicit(self):
self.assertEqual(self.podcast.items[0].itunes_explicit, "yes")
self.assertEqual(self.podcast.items[1].itunes_explicit, "highly offensive")
class TestBasicFeedItems(unittest.TestCase):
def setUp(self):
test_dir = os.path.dirname(__file__)
test_feeds_dir = os.path.join(test_dir, 'test_feeds')
basic_podcast_path = os.path.join(test_feeds_dir, 'basic_podcast.rss')
basic_podcast_file = open(basic_podcast_path, "rb")
self.basic_podcast = basic_podcast_file.read()
self.podcast = Podcast.Podcast(self.basic_podcast)
def test_item_count(self):
number_of_items = len(self.podcast.items)
self.assertEqual(number_of_items, 2)
def test_item_description(self):
self.assertEqual(self.podcast.items[0].description, "basic item description")
self.assertEqual(self.podcast.items[1].description, "another basic item description")
def test_item_author(self):
self.assertEqual(self.podcast.items[0].author, "lawyer@boyer.net")
self.assertEqual(self.podcast.items[1].author, "lawyer@boyer.net (Lawyer Boyer)")
def test_item_itunes_author(self):
self.assertEqual(self.podcast.items[0].itunes_author_name, "basic item itunes author")
self.assertEqual(self.podcast.items[1].itunes_author_name, "another basic item itunes author")
def test_item_itunes_block(self):
self.assertEqual(self.podcast.itunes_block, False)
def test_item_itunes_duration(self):
self.assertEqual(self.podcast.items[0].itunes_duration, "1:05")
self.assertEqual(self.podcast.items[1].itunes_duration, "1:11:05")
def test_item_itunes_explicit(self):
self.assertEqual(self.podcast.items[0].itunes_explicit, "no")
self.assertEqual(self.podcast.items[1].itunes_explicit, "clean")
def test_item_itunes_order(self):
self.assertEqual(self.podcast.items[0].itunes_order, "2")
self.assertEqual(self.podcast.items[1].itunes_order, "1")
def test_item_itunes_subtitle(self):
self.assertEqual(self.podcast.items[0].itunes_subtitle, "The Subtitle")
self.assertEqual(self.podcast.items[1].itunes_subtitle, "Another Subtitle")
def test_item_itunes_summary(self):
self.assertEqual(self.podcast.items[0].itunes_summary, "The Summary")
self.assertEqual(self.podcast.items[1].itunes_summary, "Another Summary")
def test_item_enclosure_url(self):
self.assertEqual(self.podcast.items[0].enclosure_url, 'https://github.com/iheartradio/pyPodcastParser.mp3')
def test_item_enclosure_type(self):
self.assertEqual(self.podcast.items[0].enclosure_type, 'audio/mpeg')
def test_item_enclosure_length(self):
self.assertEqual(self.podcast.items[0].enclosure_length, 123456)
def test_item_guid(self):
self.assertEqual(self.podcast.items[0].guid, 'basic item guid')
self.assertEqual(self.podcast.items[1].guid, 'another basic item guid')
def test_item_published_date(self):
self.assertTrue(isinstance(self.podcast.items[1].date_time, datetime.date))
def test_item_title(self):
self.assertEqual(self.podcast.items[0].title, "basic item title")
self.assertEqual(self.podcast.items[1].title, "another basic item title")
class TestBasicFeed(unittest.TestCase):
def setUp(self):
test_dir = os.path.dirname(__file__)
test_feeds_dir = os.path.join(test_dir, 'test_feeds')
basic_podcast_path = os.path.join(test_feeds_dir, 'basic_podcast.rss')
basic_podcast_file = open(basic_podcast_path, "rb")
self.basic_podcast = basic_podcast_file.read()
self.podcast = Podcast.Podcast(self.basic_podcast)
def test_loding_of_basic_podcast(self):
self.assertIsNotNone(self.basic_podcast)
def test_dict(self):
feed_dict = self.podcast.to_dict()
self.assertTrue(type(feed_dict) is dict)
def test_copyright(self):
self.assertEqual(self.podcast.copyright, "basic copyright")
def test_description(self):
self.assertEqual(self.podcast.description, "basic description")
def test_image(self):
self.assertEqual(self.podcast.image_url, "https://test/giffy.jpg")
def test_itunes_author_name(self):
self.assertEqual(self.podcast.itunes_author_name,
"basic itunes author")
def test_itunes_block(self):
self.assertEqual(self.podcast.itunes_block, False)
def test_itunes_categories(self):
self.assertTrue("News" in self.podcast.itunes_categories)
self.assertTrue("Business News" in self.podcast.itunes_categories)
self.assertTrue("Health" in self.podcast.itunes_categories)
def test_itunes_explicit(self):
self.assertEqual(self.podcast.itunes_explicit, "clean")
def test_itunes_complete(self):
self.assertEqual(self.podcast.itunes_complete, "yes")
def test_itunes_image(self):
self.assertEqual(self.podcast.itunes_image,
"https://github.com/iheartradio/pyPodcastParser.jpg")
def test_itunes_categories_length(self):
number_of_categories = len(self.podcast.itunes_categories)
self.assertEqual(number_of_categories, 3)
def test_itunes_keywords(self):
self.assertTrue("Python" in self.podcast.itunes_keywords)
self.assertTrue("Testing" in self.podcast.itunes_keywords)
def test_itunes_keyword_length(self):
number_of_keywords = len(self.podcast.itunes_keywords)
self.assertEqual(number_of_keywords, 2)
def test_itunes_new_feed_url(self):
self.assertEqual(self.podcast.itunes_new_feed_url, "http://newlocation.com/example.rss")
def test_language(self):
self.assertEqual(self.podcast.language, "basic language")
def test_last_build_date(self):
self.assertEqual(self.podcast.last_build_date,
"Mon, 24 Mar 2008 23:30:07 GMT")
def test_link(self):
self.assertEqual(self.podcast.link,
"https://github.com/iheartradio/pyPodcastParser")
def test_published_date(self):
self.assertEqual(self.podcast.published_date,
"Mon, 24 Mar 2008 23:30:07 GMT")
def test_owner_name(self):
self.assertEqual(self.podcast.owner_name, "basic itunes owner name")
def test_owner_email(self):
self.assertEqual(self.podcast.owner_email, "basic itunes owner email")
def test_subtitle(self):
self.assertEqual(self.podcast.subtitle, "basic itunes subtitle")
def test_summary(self):
self.assertEqual(self.podcast.summary, "basic itunes summary")
def test_summary(self):
self.assertEqual(self.podcast.summary, "basic itunes summary")
def test_title(self):
self.assertEqual(self.podcast.title, "basic title")
def test_time_published(self):
self.assertTrue(isinstance(self.podcast.date_time, datetime.date))
class TestKeywordVariability(unittest.TestCase):
def setUp(self):
test_dir = os.path.dirname(__file__)
test_feeds_dir = os.path.join(test_dir, 'test_feeds')
basic_podcast_path = os.path.join(test_feeds_dir, 'keyword_variability.rss')
keyword_variability_file = open(basic_podcast_path, "rb")
self.podcast = Podcast.Podcast(keyword_variability_file.read())
def test_keywords(self):
self.assertEqual(sorted(self.podcast.itunes_keywords), ['Python', 'Testing'])
class TestKeywordAbsence(unittest.TestCase):
def setUp(self):
test_dir = os.path.dirname(__file__)
test_feeds_dir = os.path.join(test_dir, 'test_feeds')
basic_podcast_path = os.path.join(test_feeds_dir, 'no_keywords.rss')
no_keywords = open(basic_podcast_path, "rb")
self.podcast = Podcast.Podcast(no_keywords.read())
def test_keywords(self):
self.assertEqual(self.podcast.itunes_keywords, [])
class TestUnicodeFeed(unittest.TestCase):
def setUp(self):
self.unicodeish_text = u"ℐℑℒℓ℔✕✖✗✘⨒⨓ㄏㄐ㐆㐇㐈㐉蘿螺ﻛﻜﻝﻞ𝀏𝀐𝀑𝀒𝀓ǫǬǭǮǯǰΑΒΓΔΕΖΗΘɥɦɧखगڙښڛ"
test_dir = os.path.dirname(__file__)
test_feeds_dir = os.path.join(test_dir, 'test_feeds')
basic_podcast_path = os.path.join(test_feeds_dir, 'unicode_podcast.rss')
basic_podcast_file = open(basic_podcast_path, "rb")
self.basic_podcast = basic_podcast_file.read()
self.podcast = Podcast.Podcast(self.basic_podcast)
def test_loding_of_basic_podcast(self):
self.assertIsNotNone(self.basic_podcast)
def test_copyright(self):
self.assertEqual(self.podcast.copyright, self.unicodeish_text)
def test_description(self):
self.assertEqual(self.podcast.description, self.unicodeish_text)
def test_itunes_author_name(self):
self.assertEqual(self.podcast.itunes_author_name, self.unicodeish_text)
def test_itunes_block(self):
self.assertEqual(self.podcast.itunes_block, False)
def test_itunes_categories(self):
self.assertTrue(self.unicodeish_text in self.podcast.itunes_categories)
self.assertTrue(self.unicodeish_text in self.podcast.itunes_categories)
def test_itunes_image(self):
self.assertEqual(self.podcast.itunes_image, self.unicodeish_text)
def test_itunes_categories_length(self):
number_of_categories = len(self.podcast.itunes_categories)
self.assertEqual(number_of_categories, 2)
def test_itunes_keyword_length(self):
number_of_keywords = len(self.podcast.itunes_keywords)
self.assertEqual(number_of_keywords, 1)
def test_itunes_new_feed_url(self):
self.assertEqual(self.podcast.itunes_new_feed_url, self.unicodeish_text)
def test_language(self):
self.assertEqual(self.podcast.language, self.unicodeish_text)
def test_last_build_date(self):
self.assertEqual(self.podcast.last_build_date, self.unicodeish_text)
def test_link(self):
self.assertEqual(self.podcast.link, self.unicodeish_text)
def test_owner_name(self):
self.assertEqual(self.podcast.owner_name, self.unicodeish_text)
def test_owner_email(self):
self.assertEqual(self.podcast.owner_email, self.unicodeish_text)
def test_subtitle(self):
self.assertEqual(self.podcast.subtitle, self.unicodeish_text)
def test_summary(self):
self.assertEqual(self.podcast.summary, self.unicodeish_text)
def test_summary(self):
self.assertEqual(self.podcast.summary, self.unicodeish_text)
def test_title(self):
self.assertEqual(self.podcast.title, self.unicodeish_text)
class TestMissingInfoFeed(unittest.TestCase):
def setUp(self):
test_dir = os.path.dirname(__file__)
test_feeds_dir = os.path.join(test_dir, 'test_feeds')
basic_podcast_path = os.path.join(test_feeds_dir, 'missing_info_podcast.rss')
basic_podcast_file = open(basic_podcast_path, "rb")
self.basic_podcast = basic_podcast_file.read()
self.podcast = Podcast.Podcast(self.basic_podcast)
def test_loding_of_basic_podcast(self):
self.assertIsNotNone(self.basic_podcast)
def test_copyright(self):
self.assertEqual(self.podcast.copyright, None)
def test_description(self):
self.assertEqual(self.podcast.description, None)
def test_image(self):
self.assertEqual(self.podcast.image_url, None)
def test_itunes_author_name(self):
self.assertEqual(self.podcast.itunes_author_name, None)
def test_itunes_block(self):
self.assertEqual(self.podcast.itunes_block, False)
def test_itunes_categories(self):
self.assertFalse("News" in self.podcast.itunes_categories)
self.assertFalse("Health" in self.podcast.itunes_categories)
def test_itunes_explicit(self):
self.assertEqual(self.podcast.itunes_explicit, None)
def test_itunes_complete(self):
self.assertEqual(self.podcast.itunes_complete, None)
def test_itunes_image(self):
self.assertEqual(self.podcast.itunes_image, None)
def test_itunes_categories_length(self):
number_of_categories = len(self.podcast.itunes_categories)
self.assertEqual(number_of_categories, 0)
def test_itunes_keyword_length(self):
number_of_keywords = len(self.podcast.itunes_keywords)
self.assertEqual(number_of_keywords, 0)
def test_itunes_new_feed_url(self):
self.assertEqual(self.podcast.itunes_new_feed_url, None)
def test_language(self):
self.assertEqual(self.podcast.language, None)
def test_last_build_date(self):
self.assertEqual(self.podcast.last_build_date, None)
def test_link(self):
self.assertEqual(self.podcast.link, None)
def test_published_date(self):
self.assertEqual(self.podcast.published_date, None)
def test_owner_name(self):
self.assertEqual(self.podcast.owner_name, None)
def test_owner_email(self):
self.assertEqual(self.podcast.owner_email, None)
def test_subtitle(self):
self.assertEqual(self.podcast.subtitle, None)
def test_summary(self):
self.assertEqual(self.podcast.summary, None)
def test_summary(self):
self.assertEqual(self.podcast.summary, None)
def test_title(self):
self.assertEqual(self.podcast.title, None)
def test_time_published(self):
self.assertIsNone(self.podcast.date_time)
class TestItunesBlockFeed(unittest.TestCase):
def setUp(self):
test_dir = os.path.dirname(__file__)
test_feeds_dir = os.path.join(test_dir, 'test_feeds')
basic_podcast_path = os.path.join(
test_feeds_dir, 'itunes_block_podcast.rss')
basic_podcast_file = open(basic_podcast_path, "rb")
self.basic_podcast = basic_podcast_file.read()
self.podcast = Podcast.Podcast(self.basic_podcast)
def test_itunes_block(self):
self.assertEqual(self.podcast.itunes_block, True)
def test_itunes_explicit(self):
self.assertEqual(self.podcast.itunes_explicit, "yes")
if __name__ == '__main__':
unittest.main()
| 36.988453 | 115 | 0.714036 | 2,058 | 16,016 | 5.292031 | 0.078231 | 0.115141 | 0.144798 | 0.198145 | 0.815995 | 0.787256 | 0.750987 | 0.712882 | 0.659719 | 0.577817 | 0 | 0.0057 | 0.178384 | 16,016 | 432 | 116 | 37.074074 | 0.821035 | 0.012238 | 0 | 0.533333 | 0 | 0 | 0.078516 | 0.012221 | 0 | 0 | 0 | 0 | 0.36 | 1 | 0.34 | false | 0 | 0.013333 | 0 | 0.39 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
e085c00cd7dd3bcf2030ad2845a511202300013d | 43 | py | Python | python_solutions/sum whole number.py | ersincebi/hackerrank | 9475c8e88e9071544c10a939fe7307c8e62fe3a0 | [
"MIT"
] | null | null | null | python_solutions/sum whole number.py | ersincebi/hackerrank | 9475c8e88e9071544c10a939fe7307c8e62fe3a0 | [
"MIT"
] | null | null | null | python_solutions/sum whole number.py | ersincebi/hackerrank | 9475c8e88e9071544c10a939fe7307c8e62fe3a0 | [
"MIT"
] | null | null | null | n = 123456
print(sum(map(int,str(12345)))) | 14.333333 | 31 | 0.674419 | 8 | 43 | 3.625 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.282051 | 0.093023 | 43 | 3 | 31 | 14.333333 | 0.461538 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.5 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 |
e09e8e6f92e85e3a94d6b3d1e2b9995680f40aeb | 105 | py | Python | rl_botics/common/__init__,py.py | Suman7495/rl-botics | 79423ead1fea8ab08eab74c5dc3ae51c4c96a0ac | [
"MIT"
] | 18 | 2019-05-05T09:10:59.000Z | 2021-09-20T05:47:22.000Z | rl_botics/common/__init__,py.py | Suman7495/rl-botics | 79423ead1fea8ab08eab74c5dc3ae51c4c96a0ac | [
"MIT"
] | null | null | null | rl_botics/common/__init__,py.py | Suman7495/rl-botics | 79423ead1fea8ab08eab74c5dc3ae51c4c96a0ac | [
"MIT"
] | 6 | 2020-01-21T13:51:02.000Z | 2021-01-16T09:09:34.000Z | from .approximators import *
from .data_collection import *
from .logger import *
from .policies import * | 26.25 | 30 | 0.780952 | 13 | 105 | 6.230769 | 0.538462 | 0.37037 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 105 | 4 | 31 | 26.25 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
e0c18d5a8c686c3ac1c55bc3e7b4cd6e4790dba3 | 14,059 | py | Python | tests/providers/google/marketing_platform/hooks/test_display_video.py | wegamekinglc/incubator-airflow | fc174635b0729253a86e8c877d6d8551a815a2cb | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 7 | 2018-11-19T12:05:13.000Z | 2020-01-17T08:30:38.000Z | tests/providers/google/marketing_platform/hooks/test_display_video.py | wegamekinglc/incubator-airflow | fc174635b0729253a86e8c877d6d8551a815a2cb | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 4 | 2021-06-28T20:57:42.000Z | 2022-02-26T02:11:11.000Z | tests/providers/google/marketing_platform/hooks/test_display_video.py | wegamekinglc/incubator-airflow | fc174635b0729253a86e8c877d6d8551a815a2cb | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 1 | 2021-03-03T01:44:08.000Z | 2021-03-03T01:44:08.000Z | #
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from unittest import TestCase, mock
from airflow.providers.google.marketing_platform.hooks.display_video import GoogleDisplayVideo360Hook
from tests.providers.google.cloud.utils.base_gcp_mock import mock_base_gcp_hook_default_project_id
API_VERSION = "v1"
GCP_CONN_ID = "google_cloud_default"
class TestGoogleDisplayVideo360Hook(TestCase):
def setUp(self):
with mock.patch(
"airflow.providers.google.common.hooks.base_google.GoogleBaseHook.__init__",
new=mock_base_gcp_hook_default_project_id,
):
self.hook = GoogleDisplayVideo360Hook(gcp_conn_id=GCP_CONN_ID)
@mock.patch(
"airflow.providers.google.marketing_platform.hooks."
"display_video.GoogleDisplayVideo360Hook._authorize"
)
@mock.patch("airflow.providers.google.marketing_platform.hooks.display_video.build")
def test_gen_conn(self, mock_build, mock_authorize):
result = self.hook.get_conn()
mock_build.assert_called_once_with(
"doubleclickbidmanager",
API_VERSION,
http=mock_authorize.return_value,
cache_discovery=False,
)
assert mock_build.return_value == result
@mock.patch(
"airflow.providers.google.marketing_platform.hooks."
"display_video.GoogleDisplayVideo360Hook._authorize"
)
@mock.patch("airflow.providers.google.marketing_platform.hooks.display_video.build")
def test_get_conn_to_display_video(self, mock_build, mock_authorize):
result = self.hook.get_conn_to_display_video()
mock_build.assert_called_once_with(
"displayvideo",
API_VERSION,
http=mock_authorize.return_value,
cache_discovery=False,
)
assert mock_build.return_value == result
@mock.patch(
"airflow.providers.google.marketing_platform.hooks."
"display_video.GoogleDisplayVideo360Hook.get_conn"
)
def test_create_query(self, get_conn_mock):
body = {"body": "test"}
return_value = "TEST"
get_conn_mock.return_value.queries.return_value.createquery.return_value.execute.return_value = (
return_value
)
result = self.hook.create_query(query=body)
get_conn_mock.return_value.queries.return_value.createquery.assert_called_once_with(body=body)
assert return_value == result
@mock.patch(
"airflow.providers.google.marketing_platform.hooks."
"display_video.GoogleDisplayVideo360Hook.get_conn"
)
def test_delete_query(self, get_conn_mock):
query_id = "QUERY_ID"
return_value = "TEST"
get_conn_mock.return_value.queries.return_value.deletequery.return_value.execute.return_value = (
return_value
)
self.hook.delete_query(query_id=query_id)
get_conn_mock.return_value.queries.return_value.deletequery.assert_called_once_with(queryId=query_id)
@mock.patch(
"airflow.providers.google.marketing_platform.hooks."
"display_video.GoogleDisplayVideo360Hook.get_conn"
)
def test_get_query(self, get_conn_mock):
query_id = "QUERY_ID"
return_value = "TEST"
get_conn_mock.return_value.queries.return_value.getquery.return_value.execute.return_value = (
return_value
)
result = self.hook.get_query(query_id=query_id)
get_conn_mock.return_value.queries.return_value.getquery.assert_called_once_with(queryId=query_id)
assert return_value == result
@mock.patch(
"airflow.providers.google.marketing_platform.hooks."
"display_video.GoogleDisplayVideo360Hook.get_conn"
)
def test_list_queries(self, get_conn_mock):
queries = ["test"]
return_value = {"queries": queries}
get_conn_mock.return_value.queries.return_value.listqueries.return_value.execute.return_value = (
return_value
)
result = self.hook.list_queries()
get_conn_mock.return_value.queries.return_value.listqueries.assert_called_once_with()
assert queries == result
@mock.patch(
"airflow.providers.google.marketing_platform.hooks."
"display_video.GoogleDisplayVideo360Hook.get_conn"
)
def test_run_query(self, get_conn_mock):
query_id = "QUERY_ID"
params = {"params": "test"}
self.hook.run_query(query_id=query_id, params=params)
get_conn_mock.return_value.queries.return_value.runquery.assert_called_once_with(
queryId=query_id, body=params
)
@mock.patch(
"airflow.providers.google.marketing_platform.hooks."
"display_video.GoogleDisplayVideo360Hook.get_conn"
)
def test_download_line_items_should_be_called_once(self, get_conn_mock):
request_body = {
"filterType": "filter_type",
"filterIds": [],
"format": "format",
"fileSpec": "file_spec",
}
self.hook.download_line_items(request_body=request_body)
get_conn_mock.return_value.lineitems.return_value.downloadlineitems.assert_called_once()
@mock.patch(
"airflow.providers.google.marketing_platform.hooks."
"display_video.GoogleDisplayVideo360Hook.get_conn"
)
def test_download_line_items_should_be_called_with_params(self, get_conn_mock):
request_body = {
"filterType": "filter_type",
"filterIds": [],
"format": "format",
"fileSpec": "file_spec",
}
self.hook.download_line_items(request_body=request_body)
get_conn_mock.return_value.lineitems.return_value.downloadlineitems.assert_called_once_with(
body=request_body
)
@mock.patch(
"airflow.providers.google.marketing_platform.hooks."
"display_video.GoogleDisplayVideo360Hook.get_conn"
)
def test_download_line_items_should_return_equal_values(self, get_conn_mock):
line_item = ["holy_hand_grenade"]
response = {"lineItems": line_item}
request_body = {
"filterType": "filter_type",
"filterIds": [],
"format": "format",
"fileSpec": "file_spec",
}
# fmt: off
get_conn_mock.return_value.lineitems.return_value \
.downloadlineitems.return_value.execute.return_value = response
# fmt: on
result = self.hook.download_line_items(request_body)
assert line_item == result
@mock.patch(
"airflow.providers.google.marketing_platform.hooks."
"display_video.GoogleDisplayVideo360Hook.get_conn"
)
def test_upload_line_items_should_be_called_once(self, get_conn_mock):
line_items = ["this", "is", "super", "awesome", "test"]
self.hook.upload_line_items(line_items)
get_conn_mock.return_value.lineitems.return_value.uploadlineitems.assert_called_once()
@mock.patch(
"airflow.providers.google.marketing_platform.hooks."
"display_video.GoogleDisplayVideo360Hook.get_conn"
)
def test_upload_line_items_should_be_called_with_params(self, get_conn_mock):
line_items = "I spent too much time on this"
request_body = {
"lineItems": line_items,
"dryRun": False,
"format": "CSV",
}
self.hook.upload_line_items(line_items)
get_conn_mock.return_value.lineitems.return_value.uploadlineitems.assert_called_once_with(
body=request_body
)
@mock.patch(
"airflow.providers.google.marketing_platform.hooks."
"display_video.GoogleDisplayVideo360Hook.get_conn"
)
def test_upload_line_items_should_return_equal_values(self, get_conn_mock):
line_items = {"lineItems": "string", "format": "string", "dryRun": False}
return_value = "TEST"
# fmt: off
get_conn_mock.return_value.lineitems.return_value \
.uploadlineitems.return_value.execute.return_value = return_value
# fmt: on
result = self.hook.upload_line_items(line_items)
assert return_value == result
@mock.patch(
"airflow.providers.google.marketing_platform.hooks."
"display_video.GoogleDisplayVideo360Hook.get_conn_to_display_video"
)
def test_create_sdf_download_tasks_called_with_params(self, get_conn_to_display_video):
body_request = {
"version": "version",
"partnerId": "partner_id",
"advertiserId": "advertiser_id",
"parentEntityFilter": "parent_entity_filter",
"idFilter": "id_filter",
"inventorySourceFilter": "inventory_source_filter",
}
self.hook.create_sdf_download_operation(body_request=body_request)
get_conn_to_display_video.return_value.sdfdownloadtasks.return_value.create.assert_called_once_with(
body=body_request
)
@mock.patch(
"airflow.providers.google.marketing_platform.hooks."
"display_video.GoogleDisplayVideo360Hook.get_conn_to_display_video"
)
def test_create_sdf_download_tasks_called_once(self, get_conn_to_display_video):
body_request = {
"version": "version",
"partnerId": "partner_id",
"advertiserId": "advertiser_id",
"parentEntityFilter": "parent_entity_filter",
"idFilter": "id_filter",
"inventorySourceFilter": "inventory_source_filter",
}
self.hook.create_sdf_download_operation(body_request=body_request)
get_conn_to_display_video.return_value.sdfdownloadtasks.return_value.create.assert_called_once()
@mock.patch(
"airflow.providers.google.marketing_platform.hooks."
"display_video.GoogleDisplayVideo360Hook.get_conn_to_display_video"
)
def test_create_sdf_download_tasks_return_equal_values(self, get_conn_to_display_video):
response = ["name"]
body_request = {
"version": "version",
"partnerId": "partner_id",
"advertiserId": "advertiser_id",
"parentEntityFilter": "parent_entity_filter",
"idFilter": "id_filter",
"inventorySourceFilter": "inventory_source_filter",
}
# fmt: off
get_conn_to_display_video.return_value. \
sdfdownloadtasks.return_value. \
create.return_value \
.execute.return_value = response
# fmt: on
result = self.hook.create_sdf_download_operation(body_request=body_request)
assert response == result
@mock.patch(
"airflow.providers.google.marketing_platform.hooks."
"display_video.GoogleDisplayVideo360Hook.get_conn_to_display_video"
)
def test_get_sdf_download_tasks_called_with_params(self, get_conn_to_display_video):
operation_name = "operation_name"
self.hook.get_sdf_download_operation(operation_name=operation_name)
# fmt: off
get_conn_to_display_video.return_value. \
sdfdownloadtasks.return_value. \
operations.return_value. \
get.assert_called_once_with(name=operation_name)
# fmt: on
@mock.patch(
"airflow.providers.google.marketing_platform.hooks."
"display_video.GoogleDisplayVideo360Hook.get_conn_to_display_video"
)
def test_get_sdf_download_tasks_called_once(self, get_conn_to_display_video):
operation_name = "name"
self.hook.get_sdf_download_operation(operation_name=operation_name)
# fmt: off
get_conn_to_display_video.return_value. \
sdfdownloadtasks.return_value. \
operations.return_value. \
get.assert_called_once()
# fmt: on
@mock.patch(
"airflow.providers.google.marketing_platform.hooks."
"display_video.GoogleDisplayVideo360Hook.get_conn_to_display_video"
)
def get_sdf_download_tasks_return_equal_values(self, get_conn_to_display_video):
operation_name = "operation"
response = "reposonse"
get_conn_to_display_video.return_value.sdfdownloadtasks.return_value.operations.return_value.get = (
response
)
result = self.hook.get_sdf_download_operation(operation_name=operation_name)
assert operation_name == result
@mock.patch(
"airflow.providers.google.marketing_platform.hooks."
"display_video.GoogleDisplayVideo360Hook.get_conn_to_display_video"
)
def test_download_media_called_once(self, get_conn_to_display_video):
resource_name = "resource_name"
self.hook.download_media(resource_name=resource_name)
get_conn_to_display_video.return_value.media.return_value.download_media.assert_called_once()
@mock.patch(
"airflow.providers.google.marketing_platform.hooks."
"display_video.GoogleDisplayVideo360Hook.get_conn_to_display_video"
)
def test_download_media_called_once_with_params(self, get_conn_to_display_video):
resource_name = "resource_name"
self.hook.download_media(resource_name=resource_name)
get_conn_to_display_video.return_value.media.return_value.download_media.assert_called_once_with(
resource_name=resource_name
)
| 37.793011 | 109 | 0.694715 | 1,600 | 14,059 | 5.711875 | 0.121875 | 0.096291 | 0.032498 | 0.045519 | 0.838166 | 0.827005 | 0.809169 | 0.776124 | 0.763103 | 0.740125 | 0 | 0.007004 | 0.218081 | 14,059 | 371 | 110 | 37.894879 | 0.824343 | 0.059535 | 0 | 0.526316 | 0 | 0 | 0.256253 | 0.194179 | 0 | 0 | 0 | 0 | 0.091228 | 1 | 0.077193 | false | 0 | 0.010526 | 0 | 0.091228 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
1cd7b951f9f10be7ea5ecb729e824a292d06cc6b | 101 | py | Python | features/steps/data/src/fails_pyright.py | ldamewood/ly-python-tools | 4c6e17357ddd0ce68dae539f4527ab3a40e58698 | [
"MIT"
] | null | null | null | features/steps/data/src/fails_pyright.py | ldamewood/ly-python-tools | 4c6e17357ddd0ce68dae539f4527ab3a40e58698 | [
"MIT"
] | null | null | null | features/steps/data/src/fails_pyright.py | ldamewood/ly-python-tools | 4c6e17357ddd0ce68dae539f4527ab3a40e58698 | [
"MIT"
] | null | null | null | # pylint: disable=all
# flake8: noqa
def plus_one(x: int) -> int:
return x + 1
plus_one("one")
| 12.625 | 28 | 0.623762 | 17 | 101 | 3.588235 | 0.705882 | 0.229508 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025316 | 0.217822 | 101 | 7 | 29 | 14.428571 | 0.746835 | 0.316832 | 0 | 0 | 0 | 0 | 0.045455 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0.333333 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
e804eaf6ae03bac25998d7f8e9471cf3263e74e2 | 24 | py | Python | mdfmodels/__init__.py | alexji/mdfmodels | 4a1e7298d3f68e5bd0ef8372a6c201014eae0831 | [
"MIT"
] | 1 | 2021-01-05T19:19:23.000Z | 2021-01-05T19:19:23.000Z | mdfmodels/__init__.py | alexji/mdfmodels | 4a1e7298d3f68e5bd0ef8372a6c201014eae0831 | [
"MIT"
] | null | null | null | mdfmodels/__init__.py | alexji/mdfmodels | 4a1e7298d3f68e5bd0ef8372a6c201014eae0831 | [
"MIT"
] | null | null | null | from mdfmodels import *
| 12 | 23 | 0.791667 | 3 | 24 | 6.333333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 24 | 1 | 24 | 24 | 0.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
e80b5dd74b8b6439ecc2f55c5a5505f803543e8f | 969 | py | Python | numpy_operation/merge.py | lyw615/code_accumulation | 5b2a5c039a725def37e19f226906ed1087880118 | [
"MIT"
] | 3 | 2021-11-09T07:15:00.000Z | 2021-12-11T06:30:47.000Z | numpy_operation/merge.py | lyw615/code_accumulation | 5b2a5c039a725def37e19f226906ed1087880118 | [
"MIT"
] | null | null | null | numpy_operation/merge.py | lyw615/code_accumulation | 5b2a5c039a725def37e19f226906ed1087880118 | [
"MIT"
] | null | null | null | import numpy as np
def concatenate():
"""
数组的拼接，合并
np.append 虽然可读性好，灵活，但是内存占用大
np.concatenate则不会占内存大
Returns:
"""
"""
>>> a
array(［0, 1, 2],
[3, 4, 5],
[6, 7, 8］)
>>> b = a*2
>>> b
array(［ 0, 2, 4],
[ 6, 8, 10],
[12, 14, 16］)
水平组合，axis是1 ，需注意
>>> np.concatenate((a,b),axis=1)
array(［ 0, 1, 2, 0, 2, 4],
[ 3, 4, 5, 6, 8, 10],
[ 6, 7, 8, 12, 14, 16］)
垂直组合，axis是0
>>> np.concatenate((a,b),axis=0)
array(［ 0, 1, 2],
[ 3, 4, 5],
[ 6, 7, 8],
[ 0, 2, 4],
[ 6, 8, 10],
[12, 14, 16］)
深度组合：沿着纵轴方向组合
>>> np.dstack((a,b))
array(［[ 0, 0],
[ 1, 2],
[ 2, 4］,
［ 3, 6],
[ 4, 8],
[ 5, 10］,
［ 6, 12],
[ 7, 14],
[ 8, 16］])
""" | 18.634615 | 36 | 0.298246 | 121 | 969 | 2.38843 | 0.322314 | 0.103806 | 0.041522 | 0.083045 | 0.318339 | 0.186851 | 0.186851 | 0.186851 | 0.186851 | 0.096886 | 0 | 0.192547 | 0.501548 | 969 | 52 | 37 | 18.634615 | 0.405797 | 0.069143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | true | 0 | 0.5 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
1c4ef7c2a95417ca4d80e14f4b09d173daf099b7 | 36 | py | Python | alexber/reqsync/__init__.py | alex-ber/PythonPackageSyncTool | 07b970dd7cb752cb7dfebc9baa06ad0210dfe9c1 | [
"BSD-2-Clause"
] | null | null | null | alexber/reqsync/__init__.py | alex-ber/PythonPackageSyncTool | 07b970dd7cb752cb7dfebc9baa06ad0210dfe9c1 | [
"BSD-2-Clause"
] | 2 | 2019-10-22T06:37:48.000Z | 2019-10-23T10:09:42.000Z | alexber/reqsync/__init__.py | alex-ber/PythonPackageSyncTool | 07b970dd7cb752cb7dfebc9baa06ad0210dfe9c1 | [
"BSD-2-Clause"
] | null | null | null | from alexber.reqsync.app import conf | 36 | 36 | 0.861111 | 6 | 36 | 5.166667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.083333 | 36 | 1 | 36 | 36 | 0.939394 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
1c5906d9e23b4f83542ee5ff49b7d71a72d03c23 | 11,122 | py | Python | test/test_opsgenie.py | djmgit/flask-opsgenie | 1cdacbdfbd191c28950f5c07712882a265c987e5 | [
"MIT"
] | null | null | null | test/test_opsgenie.py | djmgit/flask-opsgenie | 1cdacbdfbd191c28950f5c07712882a265c987e5 | [
"MIT"
] | 9 | 2022-01-11T14:42:03.000Z | 2022-03-30T06:45:28.000Z | test/test_opsgenie.py | djmgit/flask-opsgenie | 1cdacbdfbd191c28950f5c07712882a265c987e5 | [
"MIT"
] | null | null | null | from logging import exception
import unittest
from flask import Flask
from unittest import mock
from flask_opsgenie import opsgenie
from flask_opsgenie.entities import OpsgenieAlertParams, AlertType
from flask_opsgenie.opsgenie import make_opsgenie_api_request, raise_manual_alert
from flask_opsgenie.opsgenie import (raise_opsgenie_status_alert, raise_opsgenie_latency_alert,
raise_opsgenie_exception_alert, raise_opsgenie_alert)
class TestOpsgenie(unittest.TestCase):
def setUp(self):
self.opsgenie_alert_params = OpsgenieAlertParams(
opsgenie_token=mock.ANY,
alert_tags=mock.ANY,
alert_details={"service_id":"fake_service", "host": "test-host"},
alert_alias=None,
alert_status_alias=None,
alert_latency_alias=None,
alert_exception_alias=None,
alert_priority="P4",
alert_responder=mock.ANY,
opsgenie_api_base="https://dummy-opsgenie.com"
)
@mock.patch('flask_opsgenie.opsgenie.requests.post')
@mock.patch('flask_opsgenie.opsgenie.requests.get')
def test_make_opsgenie_api_request(self, mock_get, mock_post):
_ = make_opsgenie_api_request(http_verb="get", url=mock.ANY, payload=mock.ANY, opsgenie_token=mock.ANY)
self.assertEqual(mock_get.call_count, 1)
_ = make_opsgenie_api_request(http_verb="post", url=mock.ANY, payload=mock.ANY, opsgenie_token=mock.ANY)
self.assertEqual(mock_post.call_count, 1)
@mock.patch('flask_opsgenie.opsgenie.make_opsgenie_api_request')
def test_raise_opsgenie_status_alert(self, mock_opsgenie_api_request):
app = Flask(__name__)
with app.test_client() as client:
rv = client.get('/test/og_params')
_ = raise_opsgenie_status_alert(alert_status_code=500, alert_status_class=None, opsgenie_alert_params=self.opsgenie_alert_params, response_status_code=500, extra_props={'test-key': 'test-value'})
self.assertEqual(self.opsgenie_alert_params.alert_details['endpoint'], '/test/og_params')
self.assertEqual(self.opsgenie_alert_params.alert_details['method'], "GET")
self.assertEqual(self.opsgenie_alert_params.alert_details['url'], 'http://localhost/test/og_params')
self.assertEqual(self.opsgenie_alert_params.alert_details['status_code'], 500)
self.assertEqual(self.opsgenie_alert_params.alert_details.get('status_class'), None)
self.assertEqual(self.opsgenie_alert_params.alert_details.get('test-key'), 'test-value')
self.assertEqual(self.opsgenie_alert_params.alert_status_alias, 'fake_service-/test/og_params-500')
self.assertEqual(mock_opsgenie_api_request.call_count, 1)
mock_opsgenie_api_request.assert_called_with(
http_verb="post",
url=f'{self.opsgenie_alert_params.opsgenie_api_base}/v2/alerts',
payload=mock.ANY,
opsgenie_token=self.opsgenie_alert_params.opsgenie_token
)
@mock.patch('flask_opsgenie.opsgenie.make_opsgenie_api_request')
def test_raise_opsgenie_latency_alert(self, mock_opsgenie_api_request):
app = Flask(__name__)
with app.test_client() as client:
rv = client.get('/test/og_params')
_ = raise_opsgenie_latency_alert(elapsed_time=2000, alert_status_code=500, opsgenie_alert_params=self.opsgenie_alert_params, extra_props={'test-key': 'test-value'})
self.assertEqual(self.opsgenie_alert_params.alert_details['endpoint'], '/test/og_params')
self.assertEqual(self.opsgenie_alert_params.alert_details['method'], "GET")
self.assertEqual(self.opsgenie_alert_params.alert_details['url'], 'http://localhost/test/og_params')
self.assertEqual(self.opsgenie_alert_params.alert_details['status_code'], 500)
self.assertEqual(self.opsgenie_alert_params.alert_details.get('status_class'), None)
self.assertEqual(self.opsgenie_alert_params.alert_details.get('test-key'), 'test-value')
self.assertEqual(self.opsgenie_alert_params.alert_latency_alias, 'fake_service-response-latency-alert')
self.assertEqual(mock_opsgenie_api_request.call_count, 1)
mock_opsgenie_api_request.assert_called_with(
http_verb="post",
url=f'{self.opsgenie_alert_params.opsgenie_api_base}/v2/alerts',
payload=mock.ANY,
opsgenie_token=self.opsgenie_alert_params.opsgenie_token
)
@mock.patch('flask_opsgenie.opsgenie.make_opsgenie_api_request')
@mock.patch('flask_opsgenie.opsgenie.traceback')
@mock.patch('flask_opsgenie.opsgenie.Exception')
def test_raise_opsgenie_exception_alert(self, mock_exception, mock_traceback, mock_opsgenie_api_request):
mock_exception.__traceback__ = ""
mock_traceback.format_exception.return_value = ""
dummy_exception_class = "MagicMock"
app = Flask(__name__)
with app.test_client() as client:
rv = client.get('/test/og_params')
_ = raise_opsgenie_exception_alert(exception=mock_exception, opsgenie_alert_params=self.opsgenie_alert_params, extra_props={'test-key': 'test-value'})
self.assertEqual(self.opsgenie_alert_params.alert_details['endpoint'], '/test/og_params')
self.assertEqual(self.opsgenie_alert_params.alert_details['method'], "GET")
self.assertEqual(self.opsgenie_alert_params.alert_details['url'], 'http://localhost/test/og_params')
self.assertEqual(self.opsgenie_alert_params.alert_details['exception'], str(mock_exception))
self.assertEqual(self.opsgenie_alert_params.alert_details.get('test-key'), 'test-value')
self.assertEqual(self.opsgenie_alert_params.alert_exception_alias, f'fake_service-/test/og_params-{dummy_exception_class}')
self.assertEqual(mock_opsgenie_api_request.call_count, 1)
mock_opsgenie_api_request.assert_called_with(
http_verb="post",
url=f'{self.opsgenie_alert_params.opsgenie_api_base}/v2/alerts',
payload=mock.ANY,
opsgenie_token=self.opsgenie_alert_params.opsgenie_token
)
@mock.patch('flask_opsgenie.opsgenie.make_opsgenie_api_request')
@mock.patch('flask_opsgenie.opsgenie.traceback')
@mock.patch('flask_opsgenie.opsgenie.Exception')
def test_raise_manual_alert(self, mock_exception, mock_traceback, mock_opsgenie_api_request):
mock_exception.__traceback__ = ""
mock_traceback.format_exception.return_value = ""
test_func_name = "test_func_name"
dummy_exception_class = "MagicMock"
app = Flask(__name__)
with app.test_client() as client:
rv = client.get('/test/og_params')
_ = raise_manual_alert(exception=mock_exception, func_name=test_func_name, opsgenie_alert_params=self.opsgenie_alert_params, extra_props={'test-key': 'test-value'})
self.assertEqual(self.opsgenie_alert_params.alert_details['exception'], str(mock_exception))
self.assertEqual(self.opsgenie_alert_params.alert_details['Traceback'], "")
self.assertEqual(self.opsgenie_alert_params.alert_details.get('test-key'), 'test-value')
self.assertEqual(self.opsgenie_alert_params.alert_alias, f'fake_service-{test_func_name}-{dummy_exception_class}')
self.assertEqual(mock_opsgenie_api_request.call_count, 1)
mock_opsgenie_api_request.assert_called_with(
http_verb="post",
url=f'{self.opsgenie_alert_params.opsgenie_api_base}/v2/alerts',
payload=mock.ANY,
opsgenie_token=self.opsgenie_alert_params.opsgenie_token
)
@mock.patch('flask_opsgenie.opsgenie.raise_opsgenie_status_alert')
@mock.patch('flask_opsgenie.opsgenie.raise_opsgenie_latency_alert')
@mock.patch('flask_opsgenie.opsgenie.raise_opsgenie_exception_alert')
@mock.patch('flask_opsgenie.opsgenie.raise_manual_alert')
def test_raise_opsgenie_alert(self, mock_raise_manual_alert, mock_opsgenie_exception_alert, mock_opsgenie_latency_alert,
mock_opsgenie_status_alert):
test_exception = mock.ANY
test_status_code = 500
test_status_class = "5XX"
test_elapsed_time = 2000
test_manual_exception = "test_exception"
test_func_name = "test_func_name"
_ = raise_opsgenie_alert(alert_type=AlertType.STATUS_ALERT, alert_status_code=test_status_code,
elapsed_time = None, opsgenie_alert_params=self.opsgenie_alert_params, response_status_code=test_status_code)
self.assertEqual(mock_opsgenie_status_alert.call_count, 1)
mock_opsgenie_status_alert.assert_called_with(
alert_status_code=test_status_code,
opsgenie_alert_params=self.opsgenie_alert_params,
response_status_code=test_status_code,
extra_props=mock.ANY
)
_ = raise_opsgenie_alert(alert_type=AlertType.STATUS_ALERT, alert_status_class=test_status_class,
elapsed_time = None, opsgenie_alert_params=self.opsgenie_alert_params, response_status_code=test_status_code)
self.assertEqual(mock_opsgenie_status_alert.call_count, 2)
mock_opsgenie_status_alert.assert_called_with(
alert_status_class=test_status_class,
opsgenie_alert_params=self.opsgenie_alert_params,
response_status_code=test_status_code,
extra_props=mock.ANY
)
_ = raise_opsgenie_alert(alert_type=AlertType.LATENCY_ALERT, alert_status_code=test_status_code,
elapsed_time=test_elapsed_time, opsgenie_alert_params=self.opsgenie_alert_params)
self.assertEqual(mock_opsgenie_latency_alert.call_count, 1)
mock_opsgenie_latency_alert.assert_called_with(
elapsed_time=test_elapsed_time,
alert_status_code=test_status_code,
opsgenie_alert_params=self.opsgenie_alert_params,
extra_props=mock.ANY
)
_ = raise_opsgenie_alert(alert_type=AlertType.EXCEPTION, exception=test_exception, opsgenie_alert_params=self.opsgenie_alert_params)
self.assertEqual(mock_opsgenie_exception_alert.call_count, 1)
mock_opsgenie_exception_alert.assert_called_with(
exception=test_exception,
opsgenie_alert_params=self.opsgenie_alert_params,
extra_props=mock.ANY
)
_ = raise_opsgenie_alert(alert_type=AlertType.MANUAL, exception=test_manual_exception, func_name=test_func_name, opsgenie_alert_params=self.opsgenie_alert_params)
self.assertEqual(mock_raise_manual_alert.call_count, 1)
mock_raise_manual_alert.assert_called_with(
exception=test_manual_exception,
opsgenie_alert_params=self.opsgenie_alert_params,
func_name=test_func_name,
extra_props=mock.ANY
)
| 58.230366 | 207 | 0.715878 | 1,348 | 11,122 | 5.462908 | 0.066766 | 0.120043 | 0.157387 | 0.146795 | 0.818034 | 0.78585 | 0.738865 | 0.731668 | 0.711706 | 0.691065 | 0 | 0.005129 | 0.19358 | 11,122 | 190 | 208 | 58.536842 | 0.815922 | 0 | 0 | 0.520468 | 0 | 0 | 0.145657 | 0.089552 | 0 | 0 | 0 | 0 | 0.25731 | 1 | 0.040936 | false | 0 | 0.046784 | 0 | 0.093567 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
1c783050ba0a1c5f34e41ddafb90444ccff1c0ba | 251 | py | Python | shps/admin.py | acdh-oeaw/histogis | cbe90e17a7e4f26849c7b97f453833e094d445b2 | [
"MIT"
] | 10 | 2018-12-08T09:34:33.000Z | 2022-02-16T02:47:53.000Z | shps/admin.py | acdh-oeaw/histogis | cbe90e17a7e4f26849c7b97f453833e094d445b2 | [
"MIT"
] | 31 | 2018-08-28T15:40:12.000Z | 2022-02-15T13:03:44.000Z | shps/admin.py | acdh-oeaw/histogis | cbe90e17a7e4f26849c7b97f453833e094d445b2 | [
"MIT"
] | null | null | null | from django.contrib.gis import admin
from leaflet.admin import LeafletGeoAdmin
from .models import *
admin.site.register(Source, LeafletGeoAdmin)
admin.site.register(TempSpatial, LeafletGeoAdmin)
admin.site.register(TempStatialRel, LeafletGeoAdmin)
| 27.888889 | 52 | 0.840637 | 29 | 251 | 7.275862 | 0.482759 | 0.127962 | 0.241706 | 0.303318 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.079681 | 251 | 8 | 53 | 31.375 | 0.91342 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
1c95ddf0e8487935c3a6042de58d79eab29dbb34 | 80 | py | Python | nid_validator/egyptian_validator/tests/__init__.py | mohamedmansor/Egyptian-national-ID-validator | 59ce1f69c916611fb2565c028301353ce5ebd91f | [
"MIT"
] | null | null | null | nid_validator/egyptian_validator/tests/__init__.py | mohamedmansor/Egyptian-national-ID-validator | 59ce1f69c916611fb2565c028301353ce5ebd91f | [
"MIT"
] | 25 | 2021-01-05T03:48:11.000Z | 2021-09-22T19:38:49.000Z | nid_validator/egyptian_validator/tests/__init__.py | mohamedmansor/Egyptian-national-ID-validator | 59ce1f69c916611fb2565c028301353ce5ebd91f | [
"MIT"
] | null | null | null | from .integration_test import NIDTestAPI
from .unit_test import TestNIDValidator | 40 | 40 | 0.8875 | 10 | 80 | 6.9 | 0.7 | 0.289855 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0875 | 80 | 2 | 41 | 40 | 0.945205 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
c7066015b2c7c9fe6a4d29640d1d2869dc9952fe | 310 | py | Python | functions/artificial_generation/__init__.py | hsokooti/RegNet | 28a8b6132677bb58e9fc811c0dd15d78913c7e86 | [
"Apache-2.0"
] | 187 | 2018-01-08T11:37:12.000Z | 2022-03-03T06:26:43.000Z | functions/artificial_generation/__init__.py | hsokooti/RegNet | 28a8b6132677bb58e9fc811c0dd15d78913c7e86 | [
"Apache-2.0"
] | 15 | 2018-01-27T07:12:41.000Z | 2021-08-22T12:37:30.000Z | functions/artificial_generation/__init__.py | hsokooti/RegNet | 28a8b6132677bb58e9fc811c0dd15d78913c7e86 | [
"Apache-2.0"
] | 60 | 2018-01-09T13:00:32.000Z | 2021-06-15T03:02:36.000Z | from . import dvf_generation
from . import generate_read
from . import intensity_augmentation
from .generate_read import get_dvf_and_deformed_images
from .generate_read import check_all_images_exist
from .generate_read_seq import get_dvf_and_deformed_images_seq
__version__ = "0.3.0"
__author__ = "hsokooti"
| 28.181818 | 62 | 0.851613 | 46 | 310 | 5.152174 | 0.456522 | 0.202532 | 0.202532 | 0.185654 | 0.244726 | 0.244726 | 0 | 0 | 0 | 0 | 0 | 0.010791 | 0.103226 | 310 | 10 | 63 | 31 | 0.841727 | 0 | 0 | 0 | 1 | 0 | 0.041935 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.75 | 0 | 0.75 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
c71cb49e266ab04bb99c48f6d72fe03f236790a8 | 306 | py | Python | fem/utilities/tables2/basic/__init__.py | mjredmond/FEMApp | dd8cc53acf80d0a1bb83ce9c89bcfd51e85c6be8 | [
"MIT"
] | 1 | 2019-08-03T21:40:26.000Z | 2019-08-03T21:40:26.000Z | fem/utilities/tables2/basic/__init__.py | mjredmond/FEMApp | dd8cc53acf80d0a1bb83ce9c89bcfd51e85c6be8 | [
"MIT"
] | null | null | null | fem/utilities/tables2/basic/__init__.py | mjredmond/FEMApp | dd8cc53acf80d0a1bb83ce9c89bcfd51e85c6be8 | [
"MIT"
] | null | null | null | from ._basic_table_view import BasicTableView
from ._basic_table_data import BasicTableData
from ._basic_table_model import BasicTableModel
from ._basic_table_data_list import BasicTableDataList
from ._basic_table_widget import BasicTableWidget
from ._basic_multi_table_widget import BasicMultiTableWidget
| 43.714286 | 60 | 0.901961 | 38 | 306 | 6.736842 | 0.421053 | 0.210938 | 0.273438 | 0.140625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.078431 | 306 | 6 | 61 | 51 | 0.907801 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
c7358947bb15d6b53e1e71ff03bb770ca575185f | 308 | py | Python | python 2/koans/another_local_module.py | SEL-Columbia/python_koans | afb69f5d885d5ff73c8e98f7a611852d4471c070 | [
"MIT"
] | 4 | 2015-02-04T13:25:21.000Z | 2017-08-02T17:04:02.000Z | python 2/koans/another_local_module.py | namsral/python_koans | 976da9b5dcc8e9ff29db1da1fd8ab099c59a6690 | [
"MIT"
] | null | null | null | python 2/koans/another_local_module.py | namsral/python_koans | 976da9b5dcc8e9ff29db1da1fd8ab099c59a6690 | [
"MIT"
] | 10 | 2015-03-03T03:15:14.000Z | 2020-03-24T11:09:34.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
class Goose(object):
@property
def name(self):
return "Mr Stabby"
class Hamster(object):
@property
def name(self):
return "Phil"
class _SecretSquirrel(object):
@property
def name(self):
return "Mr Anonymous" | 18.117647 | 30 | 0.594156 | 36 | 308 | 5.055556 | 0.583333 | 0.230769 | 0.28022 | 0.346154 | 0.532967 | 0.532967 | 0.362637 | 0 | 0 | 0 | 0 | 0.004464 | 0.272727 | 308 | 17 | 31 | 18.117647 | 0.808036 | 0.136364 | 0 | 0.5 | 0 | 0 | 0.09434 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0 | 0.25 | 0.75 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
c751b719e685b855ae04d51f7d5f8338e2b9d376 | 52 | py | Python | challenge_0/python/zooks97/src/helloWorld.py | rchicoli/2017-challenges | 44f0b672e5dea34de1dde131b6df837d462f8e29 | [
"Apache-2.0"
] | 271 | 2017-01-01T22:58:36.000Z | 2021-11-28T23:05:29.000Z | challenge_0/python/zooks97/src/helloWorld.py | AakashOfficial/2017Challenges | a8f556f1d5b43c099a0394384c8bc2d826f9d287 | [
"Apache-2.0"
] | 283 | 2017-01-01T23:26:05.000Z | 2018-03-23T00:48:55.000Z | challenge_0/python/zooks97/src/helloWorld.py | AakashOfficial/2017Challenges | a8f556f1d5b43c099a0394384c8bc2d826f9d287 | [
"Apache-2.0"
] | 311 | 2017-01-01T22:59:23.000Z | 2021-09-23T00:29:12.000Z | print("Hello, World!") #print hello world statement
| 26 | 51 | 0.75 | 7 | 52 | 5.571429 | 0.571429 | 0.512821 | 0.769231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.115385 | 52 | 1 | 52 | 52 | 0.847826 | 0.519231 | 0 | 0 | 0 | 0 | 0.541667 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 |
c758b0e86a5becbd0ea8d5ae21f1df03ca4381cb | 574 | py | Python | deep_deformation/objects/skinning.py | vincentbonnetcg/DeepDeformation | cb3590586d1b2040d0096291c87fd789ecf0dfeb | [
"MIT"
] | 5 | 2021-09-21T17:31:59.000Z | 2022-01-28T07:02:32.000Z | deep_deformation/objects/skinning.py | vincentbonnetcg/DeepDeformation | cb3590586d1b2040d0096291c87fd789ecf0dfeb | [
"MIT"
] | null | null | null | deep_deformation/objects/skinning.py | vincentbonnetcg/DeepDeformation | cb3590586d1b2040d0096291c87fd789ecf0dfeb | [
"MIT"
] | 1 | 2021-12-04T16:25:09.000Z | 2021-12-04T16:25:09.000Z | """
@author: Vincent Bonnet
@description : Skinning algorithms. Implement the Linear Blend Skinning (LBS)
"""
from deep_deformation.objects.skeleton_data import SkeletonData
from deep_deformation.objects.skinning_data import SkinningData
from deep_deformation.objects.clip_data import ClipData
class Skinning:
def __init__(self, skeleton_data : SkeletonData, skinning_data : SkinningData):
self.skeleton_data = skeleton_data
self.skinning_data = skinning_data
def get_vertices_from_clip(self, clip_data : ClipData):
# TODO
pass
| 27.333333 | 83 | 0.766551 | 68 | 574 | 6.176471 | 0.441176 | 0.114286 | 0.135714 | 0.185714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.16899 | 574 | 20 | 84 | 28.7 | 0.880503 | 0.186411 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.05 | 0 | 1 | 0.222222 | false | 0.111111 | 0.333333 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 6 |
c7cf4a54d0b9c5ad64161e8c18a0dcc9ea70f610 | 45 | py | Python | tree/parser/__init__.py | hiroara/tree-python | 269c796cd8fbbedd9591faf573e21f167959c093 | [
"MIT"
] | null | null | null | tree/parser/__init__.py | hiroara/tree-python | 269c796cd8fbbedd9591faf573e21f167959c093 | [
"MIT"
] | null | null | null | tree/parser/__init__.py | hiroara/tree-python | 269c796cd8fbbedd9591faf573e21f167959c093 | [
"MIT"
] | null | null | null | from .json_parser import parse as parse_json
| 22.5 | 44 | 0.844444 | 8 | 45 | 4.5 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.133333 | 45 | 1 | 45 | 45 | 0.923077 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
c7d1f906482106950fff78f04de77e77f95057c6 | 19,611 | py | Python | tests/test_layers.py | p768lwy3/torecsys | 2251366268b4fbe6f8c3ab1628fa72a0db043dcd | [
"MIT"
] | 92 | 2019-08-15T11:03:50.000Z | 2022-03-12T01:21:05.000Z | tests/test_layers.py | p768lwy3/torecsys | 2251366268b4fbe6f8c3ab1628fa72a0db043dcd | [
"MIT"
] | 3 | 2020-03-11T08:57:50.000Z | 2021-01-06T01:39:47.000Z | tests/test_layers.py | p768lwy3/torecsys | 2251366268b4fbe6f8c3ab1628fa72a0db043dcd | [
"MIT"
] | 16 | 2019-10-12T11:28:53.000Z | 2022-03-28T14:04:12.000Z | import unittest
from math import comb
import torch
import torch.nn as nn
from parameterized import parameterized
from torch.nn import functional
from torchinfo import summary
from torecsys.layers import *
device = 'cuda:0' if torch.cuda.is_available() else 'cpu'
class AttentionalFactorizationMachineLayerTestCase(unittest.TestCase):
@parameterized.expand([
(4, 2, 8, 1,),
(16, 4, 16, 2,),
(32, 4, 8, 4,),
])
def test_forward(self, batch_size: int, num_fields: int, embed_size: int, attn_size: int):
# Initialize layer
layer = AttentionalFactorizationMachineLayer(
embed_size=embed_size,
num_fields=num_fields,
attn_size=attn_size,
dropout_p=0.1
)
layer = layer.to(device)
print(f'Input Size: {layer.inputs_size};\nOutput Size: {layer.outputs_size}')
# Generate inputs for the layer
inp = torch.rand(batch_size, num_fields, embed_size)
# Forward
outputs, attn_scores = layer.forward(inp)
self.assertEqual(outputs.size(), (batch_size, embed_size))
self.assertEqual(attn_scores.size(), (batch_size, comb(num_fields, 2), 1))
print(f'Output Size: {outputs.size()}, Output Dimensions: {outputs.names}')
print(f'Attn Scores Size: {attn_scores.size()}, Attn Scores Dimensions: {attn_scores.names}')
class BiasEncodingLayerTestCase(unittest.TestCase):
@parameterized.expand([
(4, 32, 32, 256,),
(16, 16, 32, 64,),
(32, 8, 32, 128,),
])
def test_forward(self, batch_size: int, max_length: int, embed_size: int, max_num_session: int):
layer = BiasEncodingLayer(
embed_size=embed_size,
max_num_session=max_num_session,
max_length=max_length
)
layer = layer.to(device)
print(f'Input Size: {layer.inputs_size};\nOutput Size: {layer.outputs_size}')
# Generate inputs for the layer
inp_session_embed = torch.rand(batch_size, max_length, embed_size)
inp_session_embed.names = ('B', 'L', 'E',)
inp_position = torch.randint(0, max_length, (batch_size,), device=device, dtype=torch.long)
inp_position.names = ('B',)
# Forward
outputs = layer.forward((inp_session_embed, inp_position))
self.assertEqual(outputs.size(), (batch_size, max_length, embed_size))
print(f'Output Size: {outputs.size()}, Output Dimensions: {outputs.names}')
class BilinearNetworkLayerTestCase(unittest.TestCase):
@parameterized.expand([
(8, 4, 128, 4),
(16, 6, 64, 3),
(32, 12, 8, 16)
])
def test_forward(self, batch_size: int, num_fields: int, embed_size: int, num_layers: int):
layer = BilinearNetworkLayer(
inputs_size=embed_size,
num_layers=num_layers
)
layer = layer.to(device)
print(f'Input Size: {layer.inputs_size};\nOutput Size: {layer.outputs_size}')
# Generate inputs for the layer
inp = torch.rand(batch_size, num_fields, embed_size)
inp.names = ('B', 'N', 'E',)
inp_size = inp.size()
summary(layer, input_size=[inp_size], device=device, dtypes=[torch.float])
# Forward
outputs = layer.forward(inp)
self.assertEqual(outputs.size(), (batch_size, num_fields, embed_size))
print(f'Output Size: {outputs.size()}, Output Dimensions: {outputs.names}')
class BilinearInteractionLayerTestCase(unittest.TestCase):
@parameterized.expand([
(8, 4, 128),
(16, 6, 64),
(32, 12, 8)
])
def test_forward(self, batch_size: int, num_fields: int, embed_size: int):
layer = BilinearInteractionLayer(
embed_size=embed_size,
num_fields=num_fields,
bilinear_type='all',
bias=True
)
layer = layer.to(device)
print(f'Input Size: {layer.inputs_size};\nOutput Size: {layer.outputs_size}')
# Generate inputs for the layer
inp = torch.rand(batch_size, num_fields, embed_size)
inp.names = ('B', 'N', 'E',)
inp_size = inp.size()
summary(layer, input_size=[inp_size], device=device, dtypes=[torch.float])
# Forward
outputs = layer.forward(inp)
self.assertEqual(outputs.size(), (batch_size, comb(num_fields, 2), embed_size))
print(f'Output Size: {outputs.size()}, Output Dimensions: {outputs.names}')
class ComposeExcitationNetworkLayerTestCase(unittest.TestCase):
@parameterized.expand([
(8, 4, 128),
(16, 6, 64),
(32, 12, 8)
])
def test_forward(self, batch_size: int, num_fields: int, embed_size: int):
layer = ComposeExcitationNetworkLayer(
num_fields=num_fields,
reduction=1,
activation=nn.ReLU6()
)
layer = layer.to(device)
print(f'Input Size: {layer.inputs_size};\nOutput Size: {layer.outputs_size}')
# Generate inputs for the layer
field_aware_embed_inp = torch.rand(batch_size, num_fields ** 2, embed_size)
field_aware_embed_inp.names = ('B', 'N', 'E',)
inp_size = field_aware_embed_inp.size()
summary(layer, input_size=[inp_size], device=device, dtypes=[torch.float])
# Forward
outputs = layer.forward(field_aware_embed_inp)
self.assertEqual(outputs.size(), (batch_size, num_fields ** 2, embed_size))
print(f'Output Size: {outputs.size()}, Output Dimensions: {outputs.names}')
class CompressInteractionNetworkLayerTestCase(unittest.TestCase):
@parameterized.expand([
(8, 4, 128, 4),
(16, 6, 64, 8),
(32, 12, 8, 16)
])
def test_forward(self, batch_size: int, num_fields: int, embed_size: int, output_size: int):
layer = CompressInteractionNetworkLayer(
embed_size=embed_size,
num_fields=num_fields,
output_size=output_size,
layer_sizes=[32, 64, 32],
is_direct=False,
use_bias=True,
use_batchnorm=True,
activation=nn.ReLU6()
)
layer = layer.to(device)
print(f'Input Size: {layer.inputs_size};\nOutput Size: {layer.outputs_size}')
# Generate inputs for the layer
inp = torch.rand(batch_size, num_fields, embed_size)
inp.names = ('B', 'N', 'E',)
inp_size = inp.size()
summary(layer, input_size=[inp_size], device=device, dtypes=[torch.float])
# Forward
outputs = layer.forward(inp)
self.assertEqual(outputs.size(), (batch_size, output_size))
print(f'Output Size: {outputs.size()}, Output Dimensions: {outputs.names}')
class CrossNetworkLayerTestCase(unittest.TestCase):
@parameterized.expand([
(8, 4, 128),
(16, 6, 64),
(32, 12, 8)
])
def test_forward(self, batch_size: int, num_fields: int, embed_size: int):
layer = CrossNetworkLayer(
inputs_size=embed_size,
num_layers=4
)
layer = layer.to(device)
print(f'Input Size: {layer.inputs_size};\nOutput Size: {layer.outputs_size}')
# Generate inputs for the layer
inp = torch.rand(batch_size, num_fields, embed_size)
inp.names = ('B', 'N', 'E',)
inp_size = inp.size()
summary(layer, input_size=[inp_size], device=device, dtypes=[torch.float])
# Forward
outputs = layer.forward(inp)
self.assertEqual(outputs.size(), (batch_size, num_fields, embed_size))
print(f'Output Size: {outputs.size()}, Output Dimensions: {outputs.names}')
class DynamicRoutingLayerTestCase(unittest.TestCase):
@parameterized.expand([
(8, 4, 128, 4),
(16, 6, 64, 8),
(32, 12, 8, 16)
])
def test_forward(self, batch_size: int, num_fields: int, embed_size: int, output_size: int):
layer = DynamicRoutingLayer(
embed_size=embed_size,
routed_size=output_size,
max_num_caps=16,
num_iter=2
)
layer = layer.to(device)
print(f'Input Size: {layer.inputs_size};\nOutput Size: {layer.outputs_size}')
# Generate inputs for the layer
inp = torch.rand(batch_size, num_fields, embed_size)
inp.names = ('B', 'N', 'E',)
inp_size = inp.size()
summary(layer, input_size=[inp_size], device=device, dtypes=[torch.float])
# Forward
outputs = layer.forward(inp)
self.assertEqual(outputs.size(), (batch_size, layer.num_caps, output_size))
print(f'Output Size: {outputs.size()}, Output Dimensions: {outputs.names}')
class FactorizationMachineLayerTestCase(unittest.TestCase):
@parameterized.expand([
(8, 4, 128),
(16, 6, 64),
(32, 12, 8)
])
def test_forward(self, batch_size: int, num_fields: int, embed_size: int):
layer = FactorizationMachineLayer(dropout_p=0.9)
layer = layer.to(device)
print(f'Input Size: {layer.inputs_size};\nOutput Size: {layer.outputs_size}')
# Generate inputs for the layer
inp = torch.rand(batch_size, num_fields, embed_size)
inp.names = ('B', 'N', 'E',)
inp_size = inp.size()
summary(layer, input_size=[inp_size], device=device, dtypes=[torch.float])
# Forward
outputs = layer.forward(inp)
self.assertEqual(outputs.size(), (batch_size, embed_size))
print(f'Output Size: {outputs.size()}, Output Dimensions: {outputs.names}')
class FieldAwareFactorizationMachineLayerTestCase(unittest.TestCase):
@parameterized.expand([
(8, 4, 128),
(16, 6, 64),
(32, 12, 8)
])
def test_forward(self, batch_size: int, num_fields: int, embed_size: int):
layer = FieldAwareFactorizationMachineLayer(
num_fields=num_fields,
dropout_p=0.9
)
layer = layer.to(device)
print(f'Input Size: {layer.inputs_size};\nOutput Size: {layer.outputs_size}')
# Generate inputs for the layer
inp = torch.rand(batch_size, num_fields ** 2, embed_size)
inp.names = ('B', 'N', 'E',)
inp_size = inp.size()
summary(layer, input_size=[inp_size], device=device, dtypes=[torch.float])
# Forward
outputs = layer.forward(inp)
self.assertEqual(outputs.size(), (batch_size, comb(num_fields, 2), embed_size))
print(f'Output Size: {outputs.size()}, Output Dimensions: {outputs.names}')
class InnerProductNetworkLayerTestCase(unittest.TestCase):
@parameterized.expand([
(8, 4, 128),
(16, 6, 64),
(32, 12, 8)
])
def test_forward(self, batch_size: int, num_fields: int, embed_size: int):
layer = InnerProductNetworkLayer(num_fields=num_fields)
layer = layer.to(device)
print(f'Input Size: {layer.inputs_size};\nOutput Size: {layer.outputs_size}')
# Generate inputs for the layer
inp = torch.rand(batch_size, num_fields, embed_size)
inp.names = ('B', 'N', 'E',)
inp_size = inp.size()
summary(layer, input_size=[inp_size], device=device, dtypes=[torch.float])
# Forward
outputs = layer.forward(inp)
self.assertEqual(outputs.size(), (batch_size, comb(num_fields, 2)))
print(f'Output Size: {outputs.size()}, Output Dimensions: {outputs.names}')
class MixtureOfExpertsLayerTestCase(unittest.TestCase):
@parameterized.expand([
(8, 4, 128),
(16, 6, 64),
(32, 12, 8)
])
def test_forward(self, batch_size: int, num_fields: int, embed_size: int):
num_experts = 4
expert_output_size = 16
layer = MixtureOfExpertsLayer(
inputs_size=embed_size * num_fields,
output_size=expert_output_size * num_experts,
num_experts=num_experts,
expert_func=MultilayerPerceptionLayer,
expert_inputs_size=embed_size * num_fields,
expert_output_size=expert_output_size,
expert_layer_sizes=[128, 64, 64]
)
layer = layer.to(device)
print(f'Input Size: {layer.inputs_size};\nOutput Size: {layer.outputs_size}')
# Generate inputs for the layer
inp = torch.rand(batch_size, num_fields, embed_size)
inp.names = ('B', 'N', 'E',)
inp_size = inp.size()
summary(layer, input_size=[inp_size], device=device, dtypes=[torch.float])
# Forward
outputs = layer.forward(inp)
self.assertEqual(outputs.size(), (batch_size, 1, num_experts * expert_output_size))
print(f'Output Size: {outputs.size()}, Output Dimensions: {outputs.names}')
class MultilayerPerceptionLayerTestCase(unittest.TestCase):
@parameterized.expand([
(8, 4, 128),
(16, 6, 64),
(32, 12, 8)
])
def test_forward(self, batch_size: int, num_fields: int, embed_size: int):
output_size = 16
layer_sizes = [32, 32, 16]
dropout_p = [0.9, 0.9, 0.9]
layer = MultilayerPerceptionLayer(
inputs_size=embed_size,
output_size=output_size,
layer_sizes=layer_sizes,
dropout_p=dropout_p
)
layer = layer.to(device)
print(f'Input Size: {layer.inputs_size};\nOutput Size: {layer.outputs_size}')
# Generate inputs for the layer
inp = torch.rand(batch_size, num_fields, embed_size)
inp.names = ('B', 'N', 'E',)
inp_size = inp.size()
summary(layer, input_size=[inp_size], device=device, dtypes=[torch.float])
# Forward
outputs = layer.forward(inp)
self.assertEqual(outputs.size(), (batch_size, num_fields, output_size))
print(f'Output Size: {outputs.size()}, Output Dimensions: {outputs.names}')
class OuterProductNetworkLayerTestCase(unittest.TestCase):
@parameterized.expand([
(8, 4, 128),
(16, 6, 64),
(32, 12, 8)
])
def test_forward(self, batch_size: int, num_fields: int, embed_size: int):
layer = OuterProductNetworkLayer(
embed_size=embed_size,
num_fields=num_fields,
kernel_type='mat'
)
layer = layer.to(device)
print(f'Input Size: {layer.inputs_size};\nOutput Size: {layer.outputs_size}')
# Generate inputs for the layer
inp = torch.rand(batch_size, num_fields, embed_size)
inp.names = ('B', 'N', 'E',)
inp_size = inp.size()
summary(layer, input_size=[inp_size], device=device, dtypes=[torch.float])
# Forward
outputs = layer.forward(inp)
self.assertEqual(outputs.size(), (batch_size, comb(num_fields, 2)))
print(f'Output Size: {outputs.size()}, Output Dimensions: {outputs.names}')
class PositionEmbeddingLayerTestCase(unittest.TestCase):
@parameterized.expand([
(8, 4, 128),
(16, 6, 64),
(32, 12, 8)
])
def test_forward(self, batch_size: int, seq_length: int, embed_size: int):
layer = PositionEmbeddingLayer(max_num_position=seq_length)
layer = layer.to(device)
print(f'Input Size: {layer.inputs_size};\nOutput Size: {layer.outputs_size}')
# Generate inputs for the layer
inp = torch.rand(batch_size, seq_length, embed_size)
inp.names = ('B', 'L', 'E',)
inp_size = inp.size()
summary(layer, input_size=[inp_size], device=device, dtypes=[torch.float])
# Forward
outputs = layer.forward(inp)
self.assertEqual(outputs.size(), (batch_size, seq_length, embed_size))
print(f'Output Size: {outputs.size()}, Output Dimensions: {outputs.names}')
class PositionBiasAwareLearningFrameworkLayerTestCase(unittest.TestCase):
@parameterized.expand([
(8, 4, 128),
(16, 6, 64),
(32, 12, 8)
])
def test_forward(self, batch_size: int, seq_length: int, embed_size: int):
layer = PositionBiasAwareLearningFrameworkLayer(
input_size=embed_size,
max_num_position=seq_length
)
layer = layer.to(device)
print(f'Input Size: {layer.inputs_size};\nOutput Size: {layer.outputs_size}')
# Generate inputs for the layer
inp_0 = torch.rand(batch_size, embed_size)
inp_0.names = ('B', 'E',)
# inp_0_size = inp_0.size()
inp_1 = torch.randint(0, seq_length, (batch_size,), device=device, dtype=torch.long)
inp_1.names = ('B',)
# inp_1_size = inp_1.size()
# summary(layer, input_size=[inp_0_size, inp_1_size], device=device, dtypes=[torch.float, torch.long])
# Forward
outputs = layer.forward((inp_0, inp_1,))
self.assertEqual(outputs.size(), (batch_size, embed_size))
print(f'Output Size: {outputs.size()}, Output Dimensions: {outputs.names}')
class WideLayerTestCase(unittest.TestCase):
@parameterized.expand([
(8, 4, 128),
(16, 6, 64),
(32, 12, 8)
])
def test_forward(self, batch_size: int, num_fields: int, embed_size: int):
output_size = 16
dropout_p = 0.9
layer = WideLayer(
inputs_size=embed_size,
output_size=output_size,
dropout_p=dropout_p
)
layer = layer.to(device)
print(f'Input Size: {layer.inputs_size};\nOutput Size: {layer.outputs_size}')
# Generate inputs for the layer
inp = torch.rand(batch_size, num_fields, embed_size)
inp.names = ('B', 'N', 'E',)
inp_size = inp.size()
summary(layer, input_size=[inp_size], device=device, dtypes=[torch.float])
# Forward
outputs = layer.forward(inp)
self.assertEqual(outputs.size(), (batch_size, num_fields, output_size))
print(f'Output Size: {outputs.size()}, Output Dimensions: {outputs.names}')
class GeneralizedMatrixFactorizationLayerTestCase(unittest.TestCase):
@parameterized.expand([
(8, 128),
(16, 64),
(32, 8)
])
def test_forward(self, batch_size: int, embed_size: int):
layer = GeneralizedMatrixFactorizationLayer()
layer = layer.to(device)
print(f'Input Size: {layer.inputs_size};\nOutput Size: {layer.outputs_size}')
# Generate inputs for the layer
inp = torch.rand(batch_size, 2, embed_size)
inp.names = ('B', 'N', 'E',)
inp_size = inp.size()
summary(layer, input_size=[inp_size], device=device, dtypes=[torch.float])
# Forward
outputs = layer.forward(inp)
self.assertEqual(outputs.size(), (batch_size, 1))
print(f'Output Size: {outputs.size()}, Output Dimensions: {outputs.names}')
class StarSpaceLayerTestCase(unittest.TestCase):
@parameterized.expand([
(8, 128),
(16, 64),
(32, 8)
])
def test_forward(self, batch_size: int, embed_size: int):
layer = StarSpaceLayer(
similarity=functional.cosine_similarity
)
layer = layer.to(device)
print(f'Input Size: {layer.inputs_size};\nOutput Size: {layer.outputs_size}')
# Generate inputs for the layer
inp = torch.rand(batch_size, 2, embed_size)
inp.names = ('B', 'N', 'E',)
inp_size = inp.size()
summary(layer, input_size=[inp_size], device=device, dtypes=[torch.float])
# Forward
outputs = layer.forward(inp)
self.assertEqual(outputs.size(), (batch_size, embed_size))
print(f'Output Size: {outputs.size()}, Output Dimensions: {outputs.names}')
if __name__ == '__main__':
unittest.main()
| 35.656364 | 110 | 0.617409 | 2,374 | 19,611 | 4.917439 | 0.062763 | 0.052424 | 0.02921 | 0.056964 | 0.807692 | 0.777625 | 0.749957 | 0.743533 | 0.724516 | 0.713723 | 0 | 0.025447 | 0.252562 | 19,611 | 549 | 111 | 35.721311 | 0.770978 | 0.045434 | 0 | 0.673219 | 0 | 0 | 0.142903 | 0.029609 | 0 | 0 | 0 | 0 | 0.04914 | 1 | 0.046683 | false | 0 | 0.019656 | 0 | 0.113022 | 0.095823 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
1bfc731129e38d921c235b5310d9774c62888586 | 45 | py | Python | roles/test/library/bar.py | sivel/ansible-role-plugins | 76b3df6a4f6fd8b66074ac1db6d33cdc784c95db | [
"Apache-2.0"
] | null | null | null | roles/test/library/bar.py | sivel/ansible-role-plugins | 76b3df6a4f6fd8b66074ac1db6d33cdc784c95db | [
"Apache-2.0"
] | null | null | null | roles/test/library/bar.py | sivel/ansible-role-plugins | 76b3df6a4f6fd8b66074ac1db6d33cdc784c95db | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
print '{"action": "BAR"}'
| 11.25 | 25 | 0.577778 | 6 | 45 | 4.333333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 45 | 3 | 26 | 15 | 0.65 | 0.355556 | 0 | 0 | 0 | 0 | 0.607143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 1 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 |
400585acb0d721f729023260df7d2337da4bc5e8 | 90 | py | Python | Notebooks/tools/hypertriangle.py | sssleverlily/hyperNetworkZ | cc9c4828bf91d6bf8dbc4e73277c131ce45b2cf5 | [
"MIT"
] | null | null | null | Notebooks/tools/hypertriangle.py | sssleverlily/hyperNetworkZ | cc9c4828bf91d6bf8dbc4e73277c131ce45b2cf5 | [
"MIT"
] | null | null | null | Notebooks/tools/hypertriangle.py | sssleverlily/hyperNetworkZ | cc9c4828bf91d6bf8dbc4e73277c131ce45b2cf5 | [
"MIT"
] | null | null | null | import hypernetx as hnx
'''
找到超三角形
'''
def hypertriangle(hg : hnx.Hypergraph):
return | 12.857143 | 39 | 0.7 | 11 | 90 | 5.727273 | 0.909091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.177778 | 90 | 7 | 40 | 12.857143 | 0.851351 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0.333333 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 6 |
40218142dd9f5932982fd90829268afc7f1fbb2d | 265 | py | Python | participant/managers.py | Arpit8081/Phishtray_Edited_Version | 9f3342e6fd2620b7f01ad91ce5b36fa8ea111bc8 | [
"MIT"
] | 2 | 2020-03-31T12:38:10.000Z | 2022-01-21T22:21:06.000Z | participant/managers.py | Arpit8081/Phishtray_Edited_Version | 9f3342e6fd2620b7f01ad91ce5b36fa8ea111bc8 | [
"MIT"
] | 252 | 2018-05-24T14:55:24.000Z | 2022-02-26T13:02:10.000Z | participant/managers.py | Arpit8081/Phishtray_Edited_Version | 9f3342e6fd2620b7f01ad91ce5b36fa8ea111bc8 | [
"MIT"
] | 11 | 2018-06-23T14:54:42.000Z | 2021-02-19T11:33:44.000Z | from django.db.models import Manager
from .queryset import ParticipantQuerySet, OrganizationQuerySet
class ParticipantManager(Manager.from_queryset(ParticipantQuerySet)):
pass
class OrganizationManager(Manager.from_queryset(OrganizationQuerySet)):
pass
| 24.090909 | 71 | 0.837736 | 25 | 265 | 8.8 | 0.52 | 0.15 | 0.259091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.101887 | 265 | 10 | 72 | 26.5 | 0.92437 | 0 | 0 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.333333 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 6 |
4031e881708f5f6dc64b92fb98e77d0e12800a7b | 17,202 | py | Python | tests/integration/assignments/test_viewset.py | Intevation/OpenSlides | 4495985d4c752d9e56d1011a4396a7cb444070a6 | [
"MIT"
] | null | null | null | tests/integration/assignments/test_viewset.py | Intevation/OpenSlides | 4495985d4c752d9e56d1011a4396a7cb444070a6 | [
"MIT"
] | null | null | null | tests/integration/assignments/test_viewset.py | Intevation/OpenSlides | 4495985d4c752d9e56d1011a4396a7cb444070a6 | [
"MIT"
] | null | null | null | import pytest
from django.contrib.auth import get_user_model
from django.core.files.uploadedfile import SimpleUploadedFile
from django.urls import reverse
from rest_framework import status
from rest_framework.test import APIClient
from openslides.assignments.models import Assignment
from openslides.core.models import Tag
from openslides.mediafiles.models import Mediafile
from openslides.utils.autoupdate import inform_changed_data
from openslides.utils.test import TestCase
from ..helpers import count_queries
@pytest.mark.django_db(transaction=False)
def test_assignment_db_queries():
"""
Tests that only the following db queries are done:
* 1 requests to get the list of all assignments,
* 1 request to get all related users,
* 1 request to get the agenda item,
* 1 request to get the polls,
* 1 request to get the tags,
* 1 request to get the attachments and
* 10 request to fetch each related user again.
TODO: The last requests are a bug.
"""
for index in range(10):
Assignment.objects.create(title=f"assignment{index}", open_posts=1)
assert count_queries(Assignment.get_elements) == 16
class CreateAssignment(TestCase):
"""
Tests basic creation of assignments.
"""
def setUp(self):
self.client = APIClient()
self.client.login(username="admin", password="admin")
def test_simple(self):
response = self.client.post(
reverse("assignment-list"),
{"title": "test_title_ef3jpF)M329f30m)f82", "open_posts": 1},
)
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
assignment = Assignment.objects.get()
self.assertEqual(assignment.title, "test_title_ef3jpF)M329f30m)f82")
def test_with_tags_and_mediafiles(self):
Tag.objects.create(name="test_tag")
Mediafile.objects.create(
title="test_file", mediafile=SimpleUploadedFile("title.txt", b"content")
)
response = self.client.post(
reverse("assignment-list"),
{
"title": "test_title_ef3jpF)M329f30m)f82",
"open_posts": 1,
"tags_id": [1],
"attachments_id": [1],
},
)
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
assignment = Assignment.objects.get()
self.assertEqual(assignment.title, "test_title_ef3jpF)M329f30m)f82")
self.assertTrue(assignment.tags.exists())
self.assertTrue(assignment.attachments.exists())
class CanidatureSelf(TestCase):
"""
Tests self candidation view.
"""
def setUp(self):
self.client.login(username="admin", password="admin")
self.assignment = Assignment.objects.create(
title="test_assignment_oikaengeijieh3ughiX7", open_posts=1
)
def test_nominate_self(self):
response = self.client.post(
reverse("assignment-candidature-self", args=[self.assignment.pk])
)
self.assertEqual(response.status_code, 200)
self.assertTrue(
Assignment.objects.get(pk=self.assignment.pk)
.candidates.filter(username="admin")
.exists()
)
def test_nominate_self_twice(self):
self.assignment.set_candidate(get_user_model().objects.get(username="admin"))
response = self.client.post(
reverse("assignment-candidature-self", args=[self.assignment.pk])
)
self.assertEqual(response.status_code, 200)
self.assertTrue(
Assignment.objects.get(pk=self.assignment.pk)
.candidates.filter(username="admin")
.exists()
)
def test_nominate_self_when_finished(self):
self.assignment.set_phase(Assignment.PHASE_FINISHED)
self.assignment.save()
response = self.client.post(
reverse("assignment-candidature-self", args=[self.assignment.pk])
)
self.assertEqual(response.status_code, 400)
def test_nominate_self_during_voting(self):
self.assignment.set_phase(Assignment.PHASE_VOTING)
self.assignment.save()
response = self.client.post(
reverse("assignment-candidature-self", args=[self.assignment.pk])
)
self.assertEqual(response.status_code, 200)
self.assertTrue(
Assignment.objects.get(pk=self.assignment.pk).candidates.exists()
)
def test_nominate_self_during_voting_non_admin(self):
self.assignment.set_phase(Assignment.PHASE_VOTING)
self.assignment.save()
admin = get_user_model().objects.get(username="admin")
group_admin = admin.groups.get(name="Admin")
group_delegates = type(group_admin).objects.get(name="Delegates")
admin.groups.add(group_delegates)
admin.groups.remove(group_admin)
inform_changed_data(admin)
response = self.client.post(
reverse("assignment-candidature-self", args=[self.assignment.pk])
)
self.assertEqual(response.status_code, 403)
def test_withdraw_self(self):
self.assignment.set_candidate(get_user_model().objects.get(username="admin"))
response = self.client.delete(
reverse("assignment-candidature-self", args=[self.assignment.pk])
)
self.assertEqual(response.status_code, 200)
self.assertFalse(
Assignment.objects.get(pk=self.assignment.pk)
.candidates.filter(username="admin")
.exists()
)
def test_withdraw_self_twice(self):
response = self.client.delete(
reverse("assignment-candidature-self", args=[self.assignment.pk])
)
self.assertEqual(response.status_code, 400)
def test_withdraw_self_when_finished(self):
self.assignment.set_candidate(get_user_model().objects.get(username="admin"))
self.assignment.set_phase(Assignment.PHASE_FINISHED)
self.assignment.save()
response = self.client.delete(
reverse("assignment-candidature-self", args=[self.assignment.pk])
)
self.assertEqual(response.status_code, 400)
def test_withdraw_self_during_voting(self):
self.assignment.set_candidate(get_user_model().objects.get(username="admin"))
self.assignment.set_phase(Assignment.PHASE_VOTING)
self.assignment.save()
response = self.client.delete(
reverse("assignment-candidature-self", args=[self.assignment.pk])
)
self.assertEqual(response.status_code, 200)
self.assertFalse(
Assignment.objects.get(pk=self.assignment.pk).candidates.exists()
)
def test_withdraw_self_during_voting_non_admin(self):
self.assignment.set_candidate(get_user_model().objects.get(username="admin"))
self.assignment.set_phase(Assignment.PHASE_VOTING)
self.assignment.save()
admin = get_user_model().objects.get(username="admin")
group_admin = admin.groups.get(name="Admin")
group_delegates = type(group_admin).objects.get(name="Delegates")
admin.groups.add(group_delegates)
admin.groups.remove(group_admin)
inform_changed_data(admin)
response = self.client.delete(
reverse("assignment-candidature-self", args=[self.assignment.pk])
)
self.assertEqual(response.status_code, 403)
class CandidatureOther(TestCase):
def setUp(self):
self.client = APIClient()
self.client.login(username="admin", password="admin")
self.assignment = Assignment.objects.create(
title="test_assignment_leiD6tiojigh1vei1ait", open_posts=1
)
self.user = get_user_model().objects.create_user(
username="test_user_eeheekai4Phue6cahtho",
password="test_password_ThahXazeiV8veipeePh6",
)
def test_invalid_data_empty_dict(self):
response = self.client.post(
reverse("assignment-candidature-other", args=[self.assignment.pk]), {}
)
self.assertEqual(response.status_code, 400)
def test_invalid_data_string_instead_of_integer(self):
response = self.client.post(
reverse("assignment-candidature-other", args=[self.assignment.pk]),
{"user": "string_instead_of_integer"},
)
self.assertEqual(response.status_code, 400)
def test_invalid_data_user_does_not_exist(self):
# ID of a user that does not exist.
# Be careful: Here we do not test that the user does not exist.
inexistent_user_pk = self.user.pk + 1000
response = self.client.post(
reverse("assignment-candidature-other", args=[self.assignment.pk]),
{"user": inexistent_user_pk},
)
self.assertEqual(response.status_code, 400)
def test_nominate_other(self):
response = self.client.post(
reverse("assignment-candidature-other", args=[self.assignment.pk]),
{"user": self.user.pk},
)
self.assertEqual(response.status_code, 200)
self.assertTrue(
Assignment.objects.get(pk=self.assignment.pk)
.candidates.filter(username="test_user_eeheekai4Phue6cahtho")
.exists()
)
def test_nominate_other_twice(self):
self.assignment.set_candidate(
get_user_model().objects.get(username="test_user_eeheekai4Phue6cahtho")
)
response = self.client.post(
reverse("assignment-candidature-other", args=[self.assignment.pk]),
{"user": self.user.pk},
)
self.assertEqual(response.status_code, 400)
def test_nominate_other_when_finished(self):
self.assignment.set_phase(Assignment.PHASE_FINISHED)
self.assignment.save()
response = self.client.post(
reverse("assignment-candidature-other", args=[self.assignment.pk]),
{"user": self.user.pk},
)
self.assertEqual(response.status_code, 400)
def test_nominate_other_during_voting(self):
self.assignment.set_phase(Assignment.PHASE_VOTING)
self.assignment.save()
response = self.client.post(
reverse("assignment-candidature-other", args=[self.assignment.pk]),
{"user": self.user.pk},
)
self.assertEqual(response.status_code, 200)
self.assertTrue(
Assignment.objects.get(pk=self.assignment.pk)
.candidates.filter(username="test_user_eeheekai4Phue6cahtho")
.exists()
)
def test_nominate_other_during_voting_non_admin(self):
self.assignment.set_phase(Assignment.PHASE_VOTING)
self.assignment.save()
admin = get_user_model().objects.get(username="admin")
group_admin = admin.groups.get(name="Admin")
group_delegates = type(group_admin).objects.get(name="Delegates")
admin.groups.add(group_delegates)
admin.groups.remove(group_admin)
inform_changed_data(admin)
response = self.client.post(
reverse("assignment-candidature-other", args=[self.assignment.pk]),
{"user": self.user.pk},
)
self.assertEqual(response.status_code, 403)
def test_delete_other(self):
self.assignment.set_candidate(self.user)
response = self.client.delete(
reverse("assignment-candidature-other", args=[self.assignment.pk]),
{"user": self.user.pk},
)
self.assertEqual(response.status_code, 200)
self.assertFalse(
Assignment.objects.get(pk=self.assignment.pk)
.candidates.filter(username="test_user_eeheekai4Phue6cahtho")
.exists()
)
def test_delete_other_twice(self):
response = self.client.delete(
reverse("assignment-candidature-other", args=[self.assignment.pk]),
{"user": self.user.pk},
)
self.assertEqual(response.status_code, 400)
def test_delete_other_when_finished(self):
self.assignment.set_candidate(self.user)
self.assignment.set_phase(Assignment.PHASE_FINISHED)
self.assignment.save()
response = self.client.delete(
reverse("assignment-candidature-other", args=[self.assignment.pk]),
{"user": self.user.pk},
)
self.assertEqual(response.status_code, 400)
def test_delete_other_during_voting(self):
self.assignment.set_candidate(self.user)
self.assignment.set_phase(Assignment.PHASE_VOTING)
self.assignment.save()
response = self.client.delete(
reverse("assignment-candidature-other", args=[self.assignment.pk]),
{"user": self.user.pk},
)
self.assertEqual(response.status_code, 200)
self.assertFalse(
Assignment.objects.get(pk=self.assignment.pk)
.candidates.filter(username="test_user_eeheekai4Phue6cahtho")
.exists()
)
def test_delete_other_during_voting_non_admin(self):
self.assignment.set_candidate(self.user)
self.assignment.set_phase(Assignment.PHASE_VOTING)
self.assignment.save()
admin = get_user_model().objects.get(username="admin")
group_admin = admin.groups.get(name="Admin")
group_delegates = type(group_admin).objects.get(name="Delegates")
admin.groups.add(group_delegates)
admin.groups.remove(group_admin)
inform_changed_data(admin)
response = self.client.delete(
reverse("assignment-candidature-other", args=[self.assignment.pk]),
{"user": self.user.pk},
)
self.assertEqual(response.status_code, 403)
class MarkElectedOtherUser(TestCase):
"""
Tests marking an elected user. We use an extra user here to show that
admin can not only mark himself but also other users.
"""
def setUp(self):
self.client = APIClient()
self.client.login(username="admin", password="admin")
self.assignment = Assignment.objects.create(
title="test_assignment_Ierohsh8rahshofiejai", open_posts=1
)
self.user = get_user_model().objects.create_user(
username="test_user_Oonei3rahji5jugh1eev",
password="test_password_aiphahb5Nah0cie4iP7o",
)
def test_mark_elected(self):
self.assignment.set_candidate(
get_user_model().objects.get(username="test_user_Oonei3rahji5jugh1eev")
)
response = self.client.post(
reverse("assignment-mark-elected", args=[self.assignment.pk]),
{"user": self.user.pk},
)
self.assertEqual(response.status_code, 200)
self.assertTrue(
Assignment.objects.get(pk=self.assignment.pk)
.elected.filter(username="test_user_Oonei3rahji5jugh1eev")
.exists()
)
def test_mark_unelected(self):
user = get_user_model().objects.get(username="test_user_Oonei3rahji5jugh1eev")
self.assignment.set_elected(user)
response = self.client.delete(
reverse("assignment-mark-elected", args=[self.assignment.pk]),
{"user": self.user.pk},
)
self.assertEqual(response.status_code, 200)
self.assertFalse(
Assignment.objects.get(pk=self.assignment.pk)
.elected.filter(username="test_user_Oonei3rahji5jugh1eev")
.exists()
)
class UpdateAssignmentPoll(TestCase):
"""
Tests updating polls of assignments.
"""
def setUp(self):
self.client = APIClient()
self.client.login(username="admin", password="admin")
self.assignment = Assignment.objects.create(
title="test_assignment_ohneivoh9caiB8Yiungo", open_posts=1
)
self.assignment.set_candidate(get_user_model().objects.get(username="admin"))
self.poll = self.assignment.create_poll()
def test_invalid_votesvalid_value(self):
response = self.client.put(
reverse("assignmentpoll-detail", args=[self.poll.pk]),
{"assignment_id": self.assignment.pk, "votesvalid": "-3"},
)
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
def test_invalid_votesinvalid_value(self):
response = self.client.put(
reverse("assignmentpoll-detail", args=[self.poll.pk]),
{"assignment_id": self.assignment.pk, "votesinvalid": "-3"},
)
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
def test_invalid_votescast_value(self):
response = self.client.put(
reverse("assignmentpoll-detail", args=[self.poll.pk]),
{"assignment_id": self.assignment.pk, "votescast": "-3"},
)
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
def test_empty_value_for_votesvalid(self):
response = self.client.put(
reverse("assignmentpoll-detail", args=[self.poll.pk]),
{"assignment_id": self.assignment.pk, "votesvalid": ""},
)
self.assertEqual(response.status_code, status.HTTP_200_OK)
| 35.688797 | 86 | 0.65161 | 1,895 | 17,202 | 5.738259 | 0.103958 | 0.105573 | 0.058856 | 0.082674 | 0.817638 | 0.805499 | 0.801269 | 0.786095 | 0.784808 | 0.770278 | 0 | 0.014734 | 0.234566 | 17,202 | 481 | 87 | 35.762994 | 0.811119 | 0.039472 | 0 | 0.621918 | 0 | 0 | 0.116271 | 0.088422 | 0 | 0 | 0 | 0.002079 | 0.128767 | 1 | 0.10137 | false | 0.019178 | 0.032877 | 0 | 0.147945 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
40552e5e0d0820a48c216dacc532f36806239985 | 39 | py | Python | Python/py_module_discover/discover_dir/proto/__init__.py | egustafson/sandbox | 9804e966347b33558b0497a04edb1a591d2d7773 | [
"Apache-2.0"
] | 2 | 2019-09-27T21:25:26.000Z | 2019-12-29T11:26:54.000Z | Python/py_module_discover/discover_dir/proto/__init__.py | egustafson/sandbox | 9804e966347b33558b0497a04edb1a591d2d7773 | [
"Apache-2.0"
] | 7 | 2020-08-11T17:32:14.000Z | 2020-08-11T17:32:39.000Z | Python/py_module_discover/discover_dir/proto/__init__.py | egustafson/sandbox | 9804e966347b33558b0497a04edb1a591d2d7773 | [
"Apache-2.0"
] | 2 | 2016-07-18T10:55:50.000Z | 2020-08-19T01:46:08.000Z |
print("Package 'proto' initialized.")
| 13 | 37 | 0.717949 | 4 | 39 | 7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.102564 | 39 | 2 | 38 | 19.5 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0.736842 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 |
405ab5a123a1bd0d379c951d661fe03172b52cbf | 119 | py | Python | Lib/site-packages/Numeric/MA/__init__.py | raychorn/svn_Python-2.5.1 | 425005b1b489ba44ec0bb989e077297e8953d9be | [
"PSF-2.0"
] | null | null | null | Lib/site-packages/Numeric/MA/__init__.py | raychorn/svn_Python-2.5.1 | 425005b1b489ba44ec0bb989e077297e8953d9be | [
"PSF-2.0"
] | null | null | null | Lib/site-packages/Numeric/MA/__init__.py | raychorn/svn_Python-2.5.1 | 425005b1b489ba44ec0bb989e077297e8953d9be | [
"PSF-2.0"
] | null | null | null | from MA_version import version as __version__
from MA_version import version_info as __version_info__
from MA import *
| 29.75 | 55 | 0.857143 | 19 | 119 | 4.736842 | 0.315789 | 0.2 | 0.288889 | 0.422222 | 0.577778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.134454 | 119 | 3 | 56 | 39.666667 | 0.873786 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
dc0872be2d5b205d5b09dc4e70d445e32b745ac5 | 42 | py | Python | turf/explode/__init__.py | malroc/pyturf | c89b6ea7094bd5ca26cf589d9dcd15bd819d82e9 | [
"MIT"
] | 11 | 2020-08-26T11:04:55.000Z | 2022-01-26T14:53:10.000Z | turf/explode/__init__.py | malroc/pyturf | c89b6ea7094bd5ca26cf589d9dcd15bd819d82e9 | [
"MIT"
] | 36 | 2020-04-09T16:49:05.000Z | 2020-06-01T14:39:37.000Z | turf/explode/__init__.py | malroc/pyturf | c89b6ea7094bd5ca26cf589d9dcd15bd819d82e9 | [
"MIT"
] | 5 | 2020-07-30T23:37:35.000Z | 2021-08-24T08:10:28.000Z | from turf.explode._explode import explode
| 21 | 41 | 0.857143 | 6 | 42 | 5.833333 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.095238 | 42 | 1 | 42 | 42 | 0.921053 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
dc17c51bdd1274df96bc9bc061dfc49c77bbb4c1 | 25 | py | Python | web_gantt8/__init__.py | agenterpgmbh/misc-addons | 27e36d119b1e73089a2ebfcd8d4cfc706c8f1f41 | [
"MIT"
] | null | null | null | web_gantt8/__init__.py | agenterpgmbh/misc-addons | 27e36d119b1e73089a2ebfcd8d4cfc706c8f1f41 | [
"MIT"
] | 1 | 2020-05-03T04:27:29.000Z | 2020-05-03T04:27:29.000Z | web_gantt8/__init__.py | eneldoserrata/misc-addons | 6f3b94d8a71d603d9ad449f96edfc66385e78080 | [
"MIT"
] | 2 | 2020-05-09T02:08:59.000Z | 2022-03-21T06:37:15.000Z | from . import web_gantt8
| 12.5 | 24 | 0.8 | 4 | 25 | 4.75 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.047619 | 0.16 | 25 | 1 | 25 | 25 | 0.857143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
904bfe4bf19fa67455441aadd2c6ba73355b631e | 137 | py | Python | mindhome_alpha/erpnext/patches/v12_0/remove_patient_medical_record_page.py | Mindhome/field_service | 3aea428815147903eb9af1d0c1b4b9fc7faed057 | [
"MIT"
] | 1 | 2021-04-29T14:55:29.000Z | 2021-04-29T14:55:29.000Z | mindhome_alpha/erpnext/patches/v12_0/remove_patient_medical_record_page.py | Mindhome/field_service | 3aea428815147903eb9af1d0c1b4b9fc7faed057 | [
"MIT"
] | null | null | null | mindhome_alpha/erpnext/patches/v12_0/remove_patient_medical_record_page.py | Mindhome/field_service | 3aea428815147903eb9af1d0c1b4b9fc7faed057 | [
"MIT"
] | 1 | 2021-04-29T14:39:01.000Z | 2021-04-29T14:39:01.000Z | # Copyright (c) 2019
from __future__ import unicode_literals
import frappe
def execute():
frappe.delete_doc("Page", "medical_record")
| 17.125 | 44 | 0.773723 | 18 | 137 | 5.5 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033333 | 0.124088 | 137 | 7 | 45 | 19.571429 | 0.791667 | 0.131387 | 0 | 0 | 0 | 0 | 0.153846 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | true | 0 | 0.5 | 0 | 0.75 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
90872415b53f69d5188412b891feb4c4cf641e84 | 134 | py | Python | nimare/annotate/__init__.py | JulioAPeraza/NiMARE | e8814c23b33c64a73de907bf56de852b13a9d56a | [
"MIT"
] | 112 | 2018-04-15T15:54:26.000Z | 2022-03-09T04:48:17.000Z | nimare/annotate/__init__.py | JulioAPeraza/NiMARE | e8814c23b33c64a73de907bf56de852b13a9d56a | [
"MIT"
] | 558 | 2018-01-19T17:26:42.000Z | 2022-03-31T16:42:50.000Z | nimare/annotate/__init__.py | JulioAPeraza/NiMARE | e8814c23b33c64a73de907bf56de852b13a9d56a | [
"MIT"
] | 41 | 2018-01-17T21:16:52.000Z | 2021-12-21T22:23:52.000Z | """Automated annotation tools."""
from . import cogat, gclda, lda, text, utils
__all__ = ["cogat", "gclda", "lda", "text", "utils"]
| 22.333333 | 52 | 0.634328 | 16 | 134 | 5.0625 | 0.6875 | 0.246914 | 0.320988 | 0.419753 | 0.54321 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.149254 | 134 | 5 | 53 | 26.8 | 0.710526 | 0.201493 | 0 | 0 | 0 | 0 | 0.217822 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
908763675c0f406b8b2d3d6c25f616fd6f6fe7fd | 40 | py | Python | transition_sampling/colvar/__init__.py | UWPRG/transition-sampling | 6602bd87a66b70fb74711685f0ecfcb2d7bcbfe9 | [
"MIT"
] | 2 | 2020-12-04T01:54:44.000Z | 2021-03-09T18:44:15.000Z | transition_sampling/colvar/__init__.py | UWPRG/transition-sampling | 6602bd87a66b70fb74711685f0ecfcb2d7bcbfe9 | [
"MIT"
] | 10 | 2020-11-26T18:32:43.000Z | 2021-03-14T00:09:24.000Z | transition_sampling/colvar/__init__.py | UWPRG/transition-sampling | 6602bd87a66b70fb74711685f0ecfcb2d7bcbfe9 | [
"MIT"
] | null | null | null | from .plumed_driver import PlumedDriver
| 20 | 39 | 0.875 | 5 | 40 | 6.8 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1 | 40 | 1 | 40 | 40 | 0.944444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
90b11eccf71a69811faacbd15ae85fc9a54a2d0e | 137 | py | Python | pyot/utils/tft/routing.py | paaksing/Pyot | 0af13ff453ff3065427b93fadae0b92935b791c8 | [
"MIT"
] | 60 | 2020-08-29T02:04:31.000Z | 2022-03-20T14:51:24.000Z | pyot/utils/tft/routing.py | paaksing/Pyot | 0af13ff453ff3065427b93fadae0b92935b791c8 | [
"MIT"
] | 2 | 2021-04-08T03:06:01.000Z | 2022-02-04T15:27:16.000Z | pyot/utils/tft/routing.py | paaksing/Pyot | 0af13ff453ff3065427b93fadae0b92935b791c8 | [
"MIT"
] | 15 | 2020-11-30T23:31:11.000Z | 2022-02-11T13:31:13.000Z | from pyot.models.tft import base
def platform_to_region(platform: str) -> str:
return base.PyotRouting._platform2regions[platform]
| 22.833333 | 55 | 0.788321 | 18 | 137 | 5.833333 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008333 | 0.124088 | 137 | 5 | 56 | 27.4 | 0.866667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0.333333 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 6 |
90bf0ad913f7238896befb623127f4b26415acdf | 125 | py | Python | gnnbench/models/__init__.py | cvignac/gnn_statistics | 2115b54397ed25412f1bc4d8c93e0acdab348e34 | [
"MIT"
] | 3 | 2020-04-03T07:23:35.000Z | 2021-05-26T06:25:28.000Z | gnnbench/models/__init__.py | cvignac/gnn_statistics | 2115b54397ed25412f1bc4d8c93e0acdab348e34 | [
"MIT"
] | 1 | 2022-02-09T23:36:48.000Z | 2022-02-09T23:36:48.000Z | gnnbench/models/__init__.py | cvignac/gnn_statistics | 2115b54397ed25412f1bc4d8c93e0acdab348e34 | [
"MIT"
] | null | null | null | from .base_model import *
from . import gcn
from . import sgc
from . import appnp
from . import sgcmlp
from . import appnpmlp | 20.833333 | 25 | 0.76 | 19 | 125 | 4.947368 | 0.473684 | 0.531915 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.184 | 125 | 6 | 26 | 20.833333 | 0.921569 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
90c7d0674cf8e811739ef848d6552edca065329d | 5,079 | py | Python | tests/views/test_content.py | adamghill/coltrane | 73eb85f2468f10068691600a2a56f6a9b2717b5c | [
"MIT"
] | 28 | 2022-01-03T05:23:19.000Z | 2022-02-25T18:17:08.000Z | tests/views/test_content.py | adamghill/coltrane | 73eb85f2468f10068691600a2a56f6a9b2717b5c | [
"MIT"
] | 27 | 2022-01-04T04:01:46.000Z | 2022-02-26T23:24:54.000Z | tests/views/test_content.py | adamghill/coltrane | 73eb85f2468f10068691600a2a56f6a9b2717b5c | [
"MIT"
] | null | null | null | from pathlib import Path
from unittest.mock import call, patch
def test_404(client, settings, tmp_path: Path):
settings.BASE_DIR = tmp_path
(tmp_path / "content").mkdir()
response = client.get("/")
assert response.status_code == 404
def test_404_directory_parent_traversal(client, settings, tmp_path: Path):
settings.BASE_DIR = tmp_path
(tmp_path / "content").mkdir()
response = client.get("/../")
assert response.status_code == 404
def test_404_directory_home_traversal(client, settings, tmp_path: Path):
settings.BASE_DIR = tmp_path
(tmp_path / "content").mkdir()
response = client.get("/../")
assert response.status_code == 404
def test_index_with_slash(client, settings, tmp_path: Path):
settings.BASE_DIR = tmp_path
(tmp_path / "content").mkdir()
(tmp_path / "content" / "index.md").write_text("# index")
response = client.get("/")
assert response.status_code == 200
actual = response.content.decode()
assert '<h1 id="index">index</h1>' in actual
def test_index_without_slash(client, settings, tmp_path: Path):
settings.BASE_DIR = tmp_path
(tmp_path / "content").mkdir()
(tmp_path / "content" / "index.md").write_text("# index")
response = client.get("")
assert response.status_code == 200
actual = response.content.decode()
assert '<h1 id="index">index</h1>' in actual
def test_directory_index_with_slash(client, settings, tmp_path: Path):
settings.BASE_DIR = tmp_path
(tmp_path / "content").mkdir()
(tmp_path / "content/dir").mkdir()
(tmp_path / "content/dir/index.md").write_text("# dir")
response = client.get("/dir/")
assert response.status_code == 200
actual = response.content.decode()
assert '<h1 id="dir">dir</h1>' in actual
def test_directory_index_without_slash(client, settings, tmp_path: Path):
settings.BASE_DIR = tmp_path
(tmp_path / "content").mkdir()
(tmp_path / "content/dir").mkdir()
(tmp_path / "content/dir/index.md").write_text("# dir")
response = client.get("/dir")
assert response.status_code == 200
actual = response.content.decode()
assert '<h1 id="dir">dir</h1>' in actual
def test_url_slug(client, settings, tmp_path: Path):
settings.BASE_DIR = tmp_path
(tmp_path / "content").mkdir()
(tmp_path / "content" / "test-this.md").write_text("# test this")
response = client.get("/test-this")
assert response.status_code == 200
actual = response.content.decode()
assert '\n<h1 id="test-this">test this</h1>\n\n' in actual
def test_url_slug_with_data(client, settings, tmp_path: Path):
settings.BASE_DIR = tmp_path
(tmp_path / "content").mkdir()
(tmp_path / "content" / "test-this-data.md").write_text("test data {{ data.test }}")
(tmp_path / "data.json").write_text('{"test":1}')
response = client.get("/test-this-data")
assert response.status_code == 200
actual = response.content.decode()
assert "\n<p>test data 1</p>\n\n" in actual
def test_url_slug_cache_headers(client, settings, tmp_path: Path):
settings.BASE_DIR = tmp_path
settings.COLTRANE = {"VIEW_CACHE": {"SECONDS": 15}}
(tmp_path / "content").mkdir()
(tmp_path / "content" / "test-this-cache.md").write_text("test cache")
response = client.get("/test-this-cache")
assert response.status_code == 200
assert response.headers.get("Cache-Control") == "max-age=15"
assert response.headers.get("Expires")
original_expires = response.headers.get("Expires")
# Call view again
response = client.get("/test-this-cache")
assert response.status_code == 200
assert response.headers.get("Expires") == original_expires
def test_url_slug_cache(client, settings, tmp_path: Path):
settings.BASE_DIR = tmp_path
settings.COLTRANE = {"VIEW_CACHE": {"SECONDS": 15}}
(tmp_path / "content").mkdir()
(tmp_path / "content" / "test-this-cache.md").write_text("test cache")
context = {
"template": "coltrane/content.html",
"data": {},
"content": "<p>test cache</p>\n",
}
with patch(
"coltrane.views._get_from_cache_if_enabled",
return_value=("coltrane/content.html", context),
) as _get_from_cache_if_enabled:
with patch(
"coltrane.views._set_in_cache_if_enabled"
) as _set_in_cache_if_enabled:
response = client.get("/test-this-cache")
assert response.status_code == 200
assert response.headers.get("Cache-Control") == "max-age=15"
assert response.headers.get("Expires")
original_expires = response.headers.get("Expires")
# Call view again
response = client.get("/test-this-cache")
assert response.status_code == 200
assert response.headers.get("Expires") == original_expires
_get_from_cache_if_enabled.assert_has_calls(
calls=[call("test-this-cache"), call("test-this-cache")]
)
_set_in_cache_if_enabled.assert_not_called()
| 30.969512 | 88 | 0.657019 | 667 | 5,079 | 4.772114 | 0.110945 | 0.096764 | 0.092366 | 0.098021 | 0.870248 | 0.809299 | 0.8071 | 0.801445 | 0.786365 | 0.786365 | 0 | 0.016642 | 0.195511 | 5,079 | 163 | 89 | 31.159509 | 0.762359 | 0.006104 | 0 | 0.663636 | 0 | 0 | 0.18553 | 0.032507 | 0 | 0 | 0 | 0 | 0.245455 | 1 | 0.1 | false | 0 | 0.018182 | 0 | 0.118182 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
90da157888547bf68580a2f7b5d3391b795d8311 | 91 | py | Python | Operators/ExampleQRCodeDetectOperator/__init__.py | Caius-Lu/Savior | 47c22e06c38cc9b5f7007d79f791015c8b2b76aa | [
"BSD-2-Clause"
] | 108 | 2021-03-19T03:45:48.000Z | 2022-03-29T12:19:38.000Z | Operators/ExampleQRCodeDetectOperator/__init__.py | Caius-Lu/Savior | 47c22e06c38cc9b5f7007d79f791015c8b2b76aa | [
"BSD-2-Clause"
] | 2 | 2021-05-12T07:26:21.000Z | 2021-07-16T12:53:52.000Z | Operators/ExampleQRCodeDetectOperator/__init__.py | Caius-Lu/Savior | 47c22e06c38cc9b5f7007d79f791015c8b2b76aa | [
"BSD-2-Clause"
] | 27 | 2021-03-19T05:50:26.000Z | 2021-12-28T07:13:09.000Z | from Operators.ExampleQRCodeDetectOperator.QRCodeDetectOperator import QRCodeDetectWithSSD
| 45.5 | 90 | 0.934066 | 6 | 91 | 14.166667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043956 | 91 | 1 | 91 | 91 | 0.977011 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
90feca94d1af63da6da955e3a82cdfcb166683b0 | 134 | py | Python | dqo/db/clients/__init__.py | danield137/deep_query_optimzation | 01a25c966338007f15d14dea1b37e388e47bcfe3 | [
"MIT"
] | null | null | null | dqo/db/clients/__init__.py | danield137/deep_query_optimzation | 01a25c966338007f15d14dea1b37e388e47bcfe3 | [
"MIT"
] | null | null | null | dqo/db/clients/__init__.py | danield137/deep_query_optimzation | 01a25c966338007f15d14dea1b37e388e47bcfe3 | [
"MIT"
] | null | null | null | from dqo.db.clients.base import DatabaseClient
from dqo.db.clients.fake import FakeClient
from dqo.db.clients.postgres import Postgres | 44.666667 | 46 | 0.850746 | 21 | 134 | 5.428571 | 0.47619 | 0.184211 | 0.236842 | 0.421053 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.08209 | 134 | 3 | 47 | 44.666667 | 0.926829 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
292d394e837bd29c36a1a7910bae1eea614c987c | 104 | py | Python | src/python/artisynth_envs/envs/__init__.py | amir-abdi/artisynth-rl | be99072efb46cb0e3cbc19ef444efc699343a238 | [
"MIT"
] | 4 | 2020-03-28T16:29:48.000Z | 2021-09-07T12:06:24.000Z | src/python/artisynth_envs/envs/__init__.py | amir-abdi/artisynth-rl | be99072efb46cb0e3cbc19ef444efc699343a238 | [
"MIT"
] | 4 | 2020-11-10T23:52:14.000Z | 2021-12-14T21:36:48.000Z | src/python/artisynth_envs/envs/__init__.py | amir-abdi/artisynth-rl | be99072efb46cb0e3cbc19ef444efc699343a238 | [
"MIT"
] | 2 | 2021-09-07T12:07:29.000Z | 2021-11-07T04:47:31.000Z | from .spine_env import SpineEnv
from .point2point_env import Point2PointEnv
from .jaw_env import JawEnv
| 26 | 43 | 0.855769 | 15 | 104 | 5.733333 | 0.6 | 0.313953 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021739 | 0.115385 | 104 | 3 | 44 | 34.666667 | 0.913043 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
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