xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

ce80fb5cf7cc8de8662abff81c0c30df6c3722fb

91

py

Python

gmailbox/apps.py

megatron0000/ces22-xadrez-web

10032f81952e1f816925f5af9c27f235dfbf360c

[ "MIT" ]

null

gmailbox/apps.py

megatron0000/ces22-xadrez-web

10032f81952e1f816925f5af9c27f235dfbf360c

[ "MIT" ]

8

2020-02-11T22:28:16.000Z

2021-06-10T20:16:42.000Z

gmailbox/apps.py

megatron0000/ces22-xadrez-web

10032f81952e1f816925f5af9c27f235dfbf360c

[ "MIT" ]

null

from django.apps import AppConfig class GmailBoxConfig(AppConfig): name = 'gmailbox'

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py

Python

tools/c7n_azure/tests_azure/tests_resources/test_event_hub.py

chris-angeli-rft/cloud-custodian

5ff331b114a591dbaf6d672e30ceefb7ae64a5dd

[ "Apache-2.0" ]

8

2021-05-18T02:22:03.000Z

2021-09-11T02:49:04.000Z

tools/c7n_azure/tests_azure/tests_resources/test_event_hub.py

chris-angeli-rft/cloud-custodian

5ff331b114a591dbaf6d672e30ceefb7ae64a5dd

[ "Apache-2.0" ]

1

2021-04-26T04:38:35.000Z

tools/c7n_azure/tests_azure/tests_resources/test_event_hub.py

chris-angeli-rft/cloud-custodian

5ff331b114a591dbaf6d672e30ceefb7ae64a5dd

[ "Apache-2.0" ]

1

2020-12-28T23:21:30.000Z

# Copyright 2019 Microsoft Corporation # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from ..azure_common import BaseTest, arm_template, cassette_name class EventHubTest(BaseTest): def test_event_hub_schema_validate(self): with self.sign_out_patch(): p = self.load_policy({ 'name': 'test-event-hub-compliance', 'resource': 'azure.eventhub' }, validate=True) self.assertTrue(p) @arm_template('eventhub.json') def test_find_by_name(self): p = self.load_policy({ 'name': 'test-azure-eventhub', 'resource': 'azure.eventhub', 'filters': [ {'type': 'value', 'key': 'name', 'op': 'contains', 'value_type': 'normalize', 'value': '-cctesteventhubns'}], }) resources = p.run() self.assertEqual(len(resources), 1) @cassette_name('firewall') def test_firewall_rules_include_cidr(self): p = self.load_policy({ 'name': 'test-azure-eventhub', 'resource': 'azure.eventhub', 'filters': [ {'type': 'value', 'key': 'name', 'op': 'contains', 'value_type': 'normalize', 'value': '-cctesteventhubns'}, {'type': 'firewall-rules', 'include': ['11.0.0.0/24']}], }) resources = p.run() self.assertEqual(len(resources), 1) @cassette_name('firewall') def test_firewall_rules_not_include_cidr(self): p = self.load_policy({ 'name': 'test-azure-eventhub', 'resource': 'azure.eventhub', 'filters': [ {'type': 'value', 'key': 'name', 'op': 'contains', 'value_type': 'normalize', 'value': '-cctesteventhubns'}, {'type': 'firewall-rules', 'include': ['11.0.1.0/24']}], }) resources = p.run() self.assertEqual(len(resources), 0) @cassette_name('firewall') def test_firewall_rules_ranges(self): p = self.load_policy({ 'name': 'test-azure-eventhub', 'resource': 'azure.eventhub', 'filters': [ {'type': 'value', 'key': 'name', 'op': 'contains', 'value_type': 'normalize', 'value': '-cctesteventhubns'}, {'type': 'firewall-rules', 'include': ['11.0.0.0-11.0.0.255']}], }, validate=True) resources = p.run() self.assertEqual(1, len(resources)) @cassette_name('firewall') def test_firewall_rules_not_ranges(self): p = self.load_policy({ 'name': 'test-azure-eventhub', 'resource': 'azure.eventhub', 'filters': [ {'type': 'value', 'key': 'name', 'op': 'contains', 'value_type': 'normalize', 'value': '-cctesteventhubns'}, {'type': 'firewall-rules', 'include': ['11.0.1.0-11.0.1.255']}], }, validate=True) resources = p.run() self.assertEqual(0, len(resources)) @cassette_name('firewall') def test_firewall_rules_equal(self): p = self.load_policy({ 'name': 'test-azure-eventhub', 'resource': 'azure.eventhub', 'filters': [ {'type': 'value', 'key': 'name', 'op': 'contains', 'value_type': 'normalize', 'value': '-cctesteventhubns'}, {'type': 'firewall-rules', 'equal': ['11.0.0.0/24', '10.1.1.1/32']}], }, validate=True) resources = p.run() self.assertEqual(1, len(resources)) @cassette_name('firewall') def test_firewall_rules_not_equal(self): p = self.load_policy({ 'name': 'test-azure-eventhub', 'resource': 'azure.eventhub', 'filters': [ {'type': 'value', 'key': 'name', 'op': 'contains', 'value_type': 'normalize', 'value': '-cctesteventhubns'}, {'type': 'firewall-rules', 'equal': ['11.0.1.0/24', '10.1.1.1/32']}], }, validate=True) resources = p.run() self.assertEqual(0, len(resources))

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0c7833d91939bf6585a47068c0db482d70b2ffe6

131

py

Python

config/__init__.py

IMBINGO95/FairMOT

c496e911a89870a9b6988d93f80e680d01ee8afc

[ "MIT" ]

null

config/__init__.py

IMBINGO95/FairMOT

c496e911a89870a9b6988d93f80e680d01ee8afc

[ "MIT" ]

null

config/__init__.py

IMBINGO95/FairMOT

c496e911a89870a9b6988d93f80e680d01ee8afc

[ "MIT" ]

null

# -*- coding: utf-8 -*- # @Time : 2021/1/27 22:33 # @Author : BINGO # @School: 浙江大学 # @Campany: 竺星 # @FileName: __init__.py.py

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4

0c7a6a41c0a3a1f235803d1783bd66e37bc01cb9

217

py

Python

geoscilabs/gpr/Wiggle.py

jcapriot/geosci-labs

044a73432b9cb1187924f7761942ab329259d875

[ "MIT" ]

2

2019-01-15T03:02:28.000Z

2019-03-20T03:41:12.000Z

geoscilabs/gpr/Wiggle.py

jcapriot/geosci-labs

044a73432b9cb1187924f7761942ab329259d875

[ "MIT" ]

1

2018-12-30T20:09:25.000Z

geoscilabs/gpr/Wiggle.py

jcapriot/geosci-labs

044a73432b9cb1187924f7761942ab329259d875

[ "MIT" ]

null

import numpy as np def PrimaryWave(x, velocity, tinterp): return tinterp + 1.0 / velocity * x def ReflectedWave(x, velocity, tinterp): time = np.sqrt(x ** 2 / velocity ** 2 + tinterp ** 2) return time

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py

Python

mysite/ChainLicense/apps.py

Hwieun/ChainLicense

35d552ff1cfd056584a54b946999ff287e87d8ad

[ "Apache-2.0" ]

2

2019-09-23T01:55:46.000Z

2019-11-08T16:33:47.000Z

mysite/ChainLicense/apps.py

Hwieun/ChainLicense

35d552ff1cfd056584a54b946999ff287e87d8ad

[ "Apache-2.0" ]

1

2019-10-07T01:11:55.000Z

mysite/ChainLicense/apps.py

Hwieun/ChainLicense

35d552ff1cfd056584a54b946999ff287e87d8ad

[ "Apache-2.0" ]

1

2019-09-24T06:22:30.000Z

from django.apps import AppConfig class ChainlicenseConfig(AppConfig): name = 'ChainLicense'

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0cfa9b70f4dd085778dfa0f986d2747b6f89ea72

430

py

Python

bin/ADFRsuite/CCSBpckgs/mglkey/__init__.py

AngelRuizMoreno/Jupyter_Dock_devel

6d23bc174d5294d1e9909a0a1f9da0713042339e

[ "MIT" ]

null

bin/ADFRsuite/CCSBpckgs/mglkey/__init__.py

AngelRuizMoreno/Jupyter_Dock_devel

6d23bc174d5294d1e9909a0a1f9da0713042339e

[ "MIT" ]

null

bin/ADFRsuite/CCSBpckgs/mglkey/__init__.py

AngelRuizMoreno/Jupyter_Dock_devel

6d23bc174d5294d1e9909a0a1f9da0713042339e

[ "MIT" ]

1

2021-11-04T21:48:14.000Z

############################################################################# # # Author: Michel F. SANNER # # Copyright: M. Sanner and TSRI 2015 # ######################################################################### # # $Header: /mnt/raid/services/cvs/mglkeyDIST/mglkey/__init__.py,v 1.1.1.1 2016/12/07 23:27:34 sanner Exp $ # # $Id: __init__.py,v 1.1.1.1 2016/12/07 23:27:34 sanner Exp $ # from mglkey import MGL_check_key

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1

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4

0b2242c98f153e44bcbb14ec8721042c75e0511e

76

py

Python

bin/pymodules/objectedit/__init__.py

mattire/naali

28c9cdc84c6a85e0151a222e55ae35c9403f0212

[ "Apache-2.0" ]

1

2018-04-02T15:38:10.000Z

bin/pymodules/objectedit/__init__.py

mattire/naali

28c9cdc84c6a85e0151a222e55ae35c9403f0212

[ "Apache-2.0" ]

null

bin/pymodules/objectedit/__init__.py

mattire/naali

28c9cdc84c6a85e0151a222e55ae35c9403f0212

[ "Apache-2.0" ]

null

#from editgui import EditGUI #from only_layout import OnlyLayout as EditGUI

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1

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null

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4

0b84b4636dfd6d734d772cca8a444833fce6d004

221

py

Python

Modulo_1/semana2/variables_contantes/sentencia-global.py

rubens233/cocid_python

492ebdf21817e693e5eb330ee006397272f2e0cc

[ "MIT" ]

null

Modulo_1/semana2/variables_contantes/sentencia-global.py

rubens233/cocid_python

492ebdf21817e693e5eb330ee006397272f2e0cc

[ "MIT" ]

null

Modulo_1/semana2/variables_contantes/sentencia-global.py

rubens233/cocid_python

492ebdf21817e693e5eb330ee006397272f2e0cc

[ "MIT" ]

1

2022-03-04T00:57:18.000Z

variable1 = "variable original" def variable_global(): global variable1 variable1 = "variable global modificada" print(variable1) #variable original variable_global() print(variable1) #variable global modificada

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null

1

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null

0

4

0b9068ae3299f03b04a8be28a4b732a299e46459

1,132

py

Python

config.py

xXAligatorXx/repostAlert

74f450b577fa0971632a57c7d1f599eea4808427

[ "MIT" ]

25

2018-10-18T15:16:39.000Z

2019-06-06T04:33:20.000Z

config.py

xXAligatorXx/repostAlert

74f450b577fa0971632a57c7d1f599eea4808427

[ "MIT" ]

6

2018-10-17T01:34:13.000Z

2019-06-08T18:31:41.000Z

config.py

xXAligatorXx/repostAlert

74f450b577fa0971632a57c7d1f599eea4808427

[ "MIT" ]

2

2018-10-25T19:42:45.000Z

2018-12-05T23:09:06.000Z

import os client_id = os.environ['BOT_CLIENT_ID'] client_secret = os.environ['BOT_CLIENT_SECRET'] user_agent = os.environ['BOT_USER_AGENT'] username = os.environ['BOT_USERNAME'] password = os.environ['BOT_PASSWORD'] num_subs = int(os.environ['BOT_SUB_COUNT']) sub_settings = [[ os.environ['BOT_SUBREDDIT' + i], int(os.environ['BOT_TOP_DAYS' + i]) if 'BOT_TOP_DAYS' + i in os.environ else None, int(os.environ['BOT_HOT_DAYS' + i]) if 'BOT_HOT_DAYS' + i in os.environ else None, int(os.environ['BOT_NEW_DAYS' + i]) if 'BOT_NEW_DAYS' + i in os.environ else None, int(os.environ['BOT_TOP_NUM_POSTS' + i]) if 'BOT_TOP_NUM_POSTS' + i in os.environ else 1000, int(os.environ['BOT_HOT_NUM_POSTS' + i]) if 'BOT_HOT_NUM_POSTS' + i in os.environ else 1000, int(os.environ['BOT_NEW_NUM_POSTS' + i]) if 'BOT_NEW_NUM_POSTS' + i in os.environ else 1000, int(os.environ['BOT_THRESH' +i]) if 'BOT_THRESH' + i in os.environ else 5, bool(os.environ['BOT_TEXT_IN_IMAGE' + i]) if 'BOT_TEXT_IN_IMAGE' + i in os.environ else False, ] for i in [str(x) for x in range(num_subs)]]

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f002326f1a28c7e060443caad098a4b8ad312c0c

216

py

Python

src/myutils/__init__.py

yyHaker/TextClassification

dc3c5ffe0731609c8f0c7a18a4daa5f149f83e9f

[ "MIT" ]

3

2019-06-08T14:11:56.000Z

2020-05-26T15:08:23.000Z

src/myutils/__init__.py

yyHaker/TextClassification

dc3c5ffe0731609c8f0c7a18a4daa5f149f83e9f

[ "MIT" ]

null

src/myutils/__init__.py

yyHaker/TextClassification

dc3c5ffe0731609c8f0c7a18a4daa5f149f83e9f

[ "MIT" ]

null

#!/usr/bin/python # coding:utf-8 """ @author: yyhaker @contact: 572176750@qq.com @file: __init__.py @time: 2019/3/9 15:41 """ from .util import * from .functions import * from .nn import * from .attention import *

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f02b9d8204d4475686faf005be7403e65cc83f6f

115

py

Python

focus_testmap.py

Driftwood2D/blue

02b5bd3dbbc8fe2836f88c8beaa0955344cc7998

[ "MIT" ]

null

focus_testmap.py

Driftwood2D/blue

02b5bd3dbbc8fe2836f88c8beaa0955344cc7998

[ "MIT" ]

null

focus_testmap.py

Driftwood2D/blue

02b5bd3dbbc8fe2836f88c8beaa0955344cc7998

[ "MIT" ]

null

def setup(): # Insert light. Driftwood.light.insert("lightmap_circle1.png", 2, 64, 60, 56, 56, "22FF66DD")

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f04907145e0f5329d91ce6e7245421c294f51891

16,781

py

Python

src/genie/libs/parser/linux/route.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

204

2018-06-27T00:55:27.000Z

2022-03-06T21:12:18.000Z

src/genie/libs/parser/linux/route.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

468

2018-06-19T00:33:18.000Z

2022-03-31T23:23:35.000Z

src/genie/libs/parser/linux/route.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

309

2019-01-16T20:21:07.000Z

2022-03-30T12:56:41.000Z

"""route.py Linux parsers for the following commands: * route """ # python import re # metaparser from genie.metaparser import MetaParser from genie.metaparser.util.schemaengine import Schema, Any, Optional from netaddr import IPAddress, IPNetwork # ======================================================= # Schema for 'route' # ======================================================= class RouteSchema(MetaParser): """Schema for route""" # Destination Gateway Genmask Flags Metric Ref Use Iface # 0.0.0.0 192.168.1.1 0.0.0.0 UG 0 0 0 wlo1 schema = { 'routes': { Any(): { # 'destination' 'mask': { Any(): { 'nexthop': { Any(): { # index: 1, 2, 3, etc 'interface': str, Optional('flags'): str, Optional('gateway'): str, Optional('metric'): int, Optional('ref'): int, Optional('use'): int, Optional('scope'): str, Optional('proto'): str, Optional('src'): str, Optional('broadcast'): bool, Optional('table'): str, Optional('local'): bool } } } } } } } # ======================================================= # Parser for 'route' # ======================================================= class Route(RouteSchema): """Parser for * route * route -4 -n * route -4n * route -n4 * route -n -4 """ cli_command = ['route', 'route {flag}'] def cli(self, flag=None, output=None): if output is None: cmd = self.cli_command[0] if flag in ['-4 -n', '-4n', '-n4']: command = self.cli_command[1].replace('{flag}', flag) out = self.device.execute(cmd) else: out = output # Destination Gateway Genmask Flags Metric Ref Use Iface # 192.168.1.0 0.0.0.0 255.255.255.0 U 600 0 0 wlo1 p1 = re.compile(r'(?P<destination>[a-z0-9\.\:]+)' ' +(?P<gateway>[a-z0-9\.\:_]+)' ' +(?P<mask>[a-z0-9\.\:]+)' ' +(?P<flags>[a-zA-Z]+)' ' +(?P<metric>(\d+))' ' +(?P<ref>(\d+))' ' +(?P<use>(\d+))' ' +(?P<interface>\S+)' ) # Initializes the Python dictionary variable parsed_dict = {} # Defines the "for" loop, to pattern match each line of output for line in out.splitlines(): line = line.strip() # 192.168.1.0 0.0.0.0 255.255.255.0 U 600 0 0 wlo1 m = p1.match(line) if m: if 'routes' not in parsed_dict: parsed_dict.setdefault('routes', {}) group = m.groupdict() destination = group['destination'] mask = group['mask'] index_dict = {} for str_k in ['interface', 'flags', 'gateway']: index_dict[str_k] = group[str_k] for int_k in ['metric', 'ref', 'use']: index_dict[int_k] = int(group[int_k]) if destination in parsed_dict['routes']: if mask in parsed_dict['routes'][destination]['mask']: parsed_dict['routes'][destination]['mask'][mask].\ setdefault('nexthop', {index+1: index_dict}) else: index = 1 parsed_dict['routes'][destination]['mask'].\ setdefault(mask, {}).\ setdefault('nexthop', {index: index_dict}) else: index = 1 parsed_dict['routes'].setdefault(destination, {}).\ setdefault('mask', {}).\ setdefault(mask, {}).\ setdefault('nexthop', {index: index_dict}) continue return parsed_dict # ======================================================= # Parser for 'netstat -rn' # ======================================================= class ShowNetworkStatusRoute(Route, RouteSchema): """Parser for * netstat -rn """ cli_command = ['netstat -rn'] def cli(self, output=None): if output is None: cmd = self.cli_command[0] out = self.device.execute(cmd) else: out = output return super().cli(output=out) # ===================================================== # Parser for ip route show table all # ===================================================== class IpRouteShowTableAll(RouteSchema): """ Parser for * ip route show table all """ cli_command = ['ip route show table all'] def cli(self, output=None): if output is None: cmd = self.cli_command[0] out = self.device.execute(cmd) else: out = output # default via 192.168.1.1 dev enp7s0 proto dhcp metric 100 p1 = re.compile(r'default via (?P<gateway>[a-z0-9\.\:]+)' ' dev (?P<device>[a-z0-9\.\-]+)' ' proto (?P<proto>[a-z]+)' ' metric (?P<metric>[\d]+)' ) # 169.254.0.0/16 dev enp7s0 scope link metric 1000 p2 = re.compile(r'(?P<destination>[a-z0-9\.\:\/]+)' ' dev (?P<device>[a-z0-9\.\-]+)' ' scope (?P<scope>\w+)' ' metric (?P<metric>[\d]+)' ) # 172.17.0.0/16 dev docker0 proto kernel scope link src 172.17.0.1 p3 = re.compile(r'(?P<destination>[a-z0-9\.\:\/]+)' ' dev (?P<device>[a-z0-9\.\-]+)' ' proto (?P<proto>\w+)' ' scope (?P<scope>\w+)' ' src (?P<src>[a-z0-9\.\:\/]+)' ) # 172.18.0.0/16 dev br-d19b23fac393 proto kernel scope link src 172.18.0.1 linkdown p4 = re.compile(r'(?P<destination>[a-z0-9\.\:\/]+)' ' dev (?P<device>[a-z0-9\.\-]+)' ' proto (?P<proto>\w+)' ' scope (?P<scope>\w+)' ' src (?P<src>[a-z0-9\.\:\/]+)' ' linkdown ' ) # 192.168.1.0/24 dev enp7s0 proto kernel scope link src 192.168.1.212 metric 100 p5 = re.compile(r'(?P<destination>[a-z0-9\.\:\/]+)' ' dev (?P<device>[a-z0-9\.\-]+)' ' proto (?P<proto>\w+)' ' scope (?P<scope>\w+)' ' src (?P<src>[a-z0-9\.\:\/]+)' ' metric (?P<metric>[\d]+)' ) # broadcast 127.0.0.0 dev lo table local proto kernel scope link src 127.0.0.1 p6 = re.compile(r'broadcast (?P<destination>[a-z0-9\.\:\/]+)' ' dev (?P<device>[a-z0-9\.\-]+)' ' table (?P<table>\w+)' ' proto (?P<proto>\w+)' ' scope (?P<scope>\w+)' ' src (?P<src>[a-z0-9\.\:\/]+)' ) # local 10.233.44.70 dev kube-ipvs0 table local proto kernel scope host src 10.233.44.70 p7 = re.compile(r'local (?P<destination>[a-z0-9\.\:\/]+)' ' dev (?P<device>[a-z0-9\.\-]+)' ' table (?P<table>\w+)' ' proto (?P<proto>\w+)' ' scope (?P<scope>\w+)' ' src (?P<src>[a-z0-9\.\:\/]+)' ) # Initializes the Python dictionary variable parsed_dict = {} # Defines the "for" loop, to pattern match each line of output for line in out.splitlines(): line = line.strip() # default via 192.168.1.1 dev enp7s0 proto dhcp metric 100 m = p1.match(line) if m: if 'routes' not in parsed_dict: parsed_dict.setdefault('routes', {}) group = m.groupdict() gateway = group['gateway'] interface = group['device'] metric = int(group['metric']) if gateway: parsed_dict['routes'] = { '0.0.0.0': { 'mask': { '0.0.0.0': { 'nexthop': { 1:{ 'gateway': gateway, 'interface': interface, 'metric': metric } } } } } } # 169.254.0.0/16 dev enp7s0 scope link metric 1000 m = p2.match(line) if m: group = m.groupdict() destination = IPNetwork(group['destination']) mask = str(destination.netmask) destination_addr = str(destination.ip) interface = group['device'] metric = int(group['metric']) scope = group['scope'] index_dict = {'interface' : interface, 'scope' : scope, 'metric': metric } index = 1 parsed_dict['routes'].setdefault(destination_addr, {}).\ setdefault('mask', {}).\ setdefault(mask, {}).\ setdefault('nexthop', {index: index_dict}) # 172.17.0.0/16 dev docker0 proto kernel scope link src 172.17.0.1 m = p3.match(line) if m: group = m.groupdict() destination = IPNetwork(group['destination']) mask = str(destination.netmask) destination_addr = str(destination.ip) interface = group['device'] scope = group['scope'] proto = group['proto'] src = group['src'] index_dict = {'interface' : interface, 'scope' : scope, 'proto' : proto , 'src' : src } index = 1 parsed_dict['routes'].setdefault(destination_addr, {}).\ setdefault('mask', {}).\ setdefault(mask, {}).\ setdefault('nexthop', {index: index_dict}) # 172.18.0.0/16 dev br-d19b23fac393 proto kernel scope link src 172.18.0.1 linkdown m = p4.match(line) if m: group = m.groupdict() destination = IPNetwork(group['destination']) mask = str(destination.netmask) destination_addr = str(destination.ip) interface = group['device'] scope = group['scope'] proto = group['proto'] src = group['src'] index_dict = {'interface' : interface, 'scope' : scope, 'proto' : proto , 'src' : src } index = 1 parsed_dict['routes'].setdefault(destination_addr, {}).\ setdefault('mask', {}).\ setdefault(mask, {}).\ setdefault('nexthop', {index: index_dict}) # 192.168.1.0/24 dev enp7s0 proto kernel scope link src 192.168.1.212 metric 100 m = p5.match(line) if m: group = m.groupdict() destination = IPNetwork(group['destination']) mask = str(destination.netmask) destination_addr = str(destination.ip) interface = group['device'] scope = group['scope'] proto = group['proto'] metric = group['metric'] src = group['src'] index_dict = {'interface' : interface, 'scope' : scope, 'proto' : proto , 'src' : src, 'metric': metric } index = 1 parsed_dict['routes'].setdefault(destination_addr, {}).\ setdefault('mask', {}).\ setdefault(mask, {}).\ setdefault('nexthop', {index: index_dict}) # broadcast 127.0.0.0 dev lo table local proto kernel scope link src 127.0.0.1 m = p6.match(line) if m: group = m.groupdict() destination = IPNetwork(group['destination']) mask = str(destination.netmask) destination_addr = str(destination.ip) interface = group['device'] scope = group['scope'] proto = group['proto'] src = group['src'] table = group['table'] index_dict = {'interface' : interface, 'scope' : scope, 'proto' : proto , 'src' : src, 'broadcast': True, 'table': table } index = 1 parsed_dict['routes'].setdefault(destination_addr, {}).\ setdefault('mask', {}).\ setdefault(mask, {}).\ setdefault('nexthop', {index: index_dict}) # local 10.233.44.70 dev kube-ipvs0 table local proto kernel scope host src 10.233.44.70 m = p7.match(line) if m: group = m.groupdict() destination = IPNetwork(group['destination']) mask = str(destination.netmask) destination_addr = str(destination.ip) interface = group['device'] scope = group['scope'] proto = group['proto'] src = group['src'] table = group['table'] index_dict = {'interface' : interface, 'scope' : scope, 'proto' : proto , 'src' : src, 'local': True, 'table': table } index = 1 parsed_dict['routes'].setdefault(destination_addr, {}).\ setdefault('mask', {}).\ setdefault(mask, {}).\ setdefault('nexthop', {index: index_dict}) return parsed_dict

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f0571f9fa4afbc250ffbbd1dd3bed40b228bfe8d

46

py

Python

cne/__init__.py

BartWojtowicz/cne

16612292c1c938fc9ec53a14642fb7d40bcc9e25

[ "Apache-2.0" ]

null

cne/__init__.py

BartWojtowicz/cne

16612292c1c938fc9ec53a14642fb7d40bcc9e25

[ "Apache-2.0" ]

null

cne/__init__.py

BartWojtowicz/cne

16612292c1c938fc9ec53a14642fb7d40bcc9e25

[ "Apache-2.0" ]

null

from .cne import CNE __version__ = "0.0.dev"

11.5

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null

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f05d0c3401f69142c582ade92cb02f323289bd68

183

py

Python

dingomata/config/__init__.py

tigershadowclaw/discord-dingomata

0b20d7b75a0af3387b19b17c336e5e14356d2f14

[ "MIT" ]

null

dingomata/config/__init__.py

tigershadowclaw/discord-dingomata

0b20d7b75a0af3387b19b17c336e5e14356d2f14

[ "MIT" ]

null

dingomata/config/__init__.py

tigershadowclaw/discord-dingomata

0b20d7b75a0af3387b19b17c336e5e14356d2f14

[ "MIT" ]

null

from .bot import GuildConfig, ServiceConfig, get_logging_config, service_config __all__ = [ "ServiceConfig", "GuildConfig", "get_logging_config", "service_config", ]

20.333333

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1

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null

0

4

b2cacdeef0561546d139a9bec5f6cfde666b19a3

156

py

Python

basic/server.py

spinico/django-projects-boilerplates

22d47f60d282d0edb9c0f1b84bb3e9e84949bd25

[ "MIT" ]

null

basic/server.py

spinico/django-projects-boilerplates

22d47f60d282d0edb9c0f1b84bb3e9e84949bd25

[ "MIT" ]

null

basic/server.py

spinico/django-projects-boilerplates

22d47f60d282d0edb9c0f1b84bb3e9e84949bd25

[ "MIT" ]

null

from waitress import serve from conf.wsgi import application if __name__ == '__main__': serve(application, listen='0.0.0.0:8000', url_scheme='https')

22.285714

65

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23

156

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b2dc609945782154da069152ac5405f35cce2d2b

25

py

Python

SWSIdentity/Controllers/__init__.py

vanzhiganov/identity

90936482cc23251ba06121658e6a0a9251e30b3b

[ "Apache-2.0" ]

1

2018-03-26T21:18:52.000Z

SWSIdentity/Controllers/__init__.py

vanzhiganov/identity

90936482cc23251ba06121658e6a0a9251e30b3b

[ "Apache-2.0" ]

null

SWSIdentity/Controllers/__init__.py

vanzhiganov/identity

90936482cc23251ba06121658e6a0a9251e30b3b

[ "Apache-2.0" ]

null

__all__ = [ 'Users' ]

8.333333

11

0.48

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0

null

0

1

0

1

0

null

0

4

b2df22a6002e061c7249b53a9c05a87dc4e272cf

697

py

Python

src/oca/models/__init__.py

goubertbrent/oca-backend

b9f59cc02568aecb55d4b54aec05245790ea25fd

[ "Apache-2.0" ]

null

src/oca/models/__init__.py

goubertbrent/oca-backend

b9f59cc02568aecb55d4b54aec05245790ea25fd

[ "Apache-2.0" ]

null

src/oca/models/__init__.py

goubertbrent/oca-backend

b9f59cc02568aecb55d4b54aec05245790ea25fd

[ "Apache-2.0" ]

null

# coding: utf-8 # flake8: noqa """ Our City App Our City App internal apis # noqa: E501 The version of the OpenAPI document: 0.0.1 Generated by: https://openapi-generator.tech """ from __future__ import absolute_import # import models into model package from oca.models.home_screen import HomeScreen from oca.models.home_screen_bottom_navigation import HomeScreenBottomNavigation from oca.models.home_screen_bottom_sheet import HomeScreenBottomSheet from oca.models.home_screen_bottom_sheet_header import HomeScreenBottomSheetHeader from oca.models.home_screen_content import HomeScreenContent from oca.models.home_screen_navigation_button import HomeScreenNavigationButton

30.304348

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92

697

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0

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697

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0

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0

1

0

4

b2f00fc324ac567aafda05e99a1cb8336f8b4e7a

7,116

py

Python

test_cases/apache_avro_adapter.py

QratorLabs/ritfest2016

cddaaa9e827f5315d2e426c083029124649d6f50

[ "MIT" ]

null

test_cases/apache_avro_adapter.py

QratorLabs/ritfest2016

cddaaa9e827f5315d2e426c083029124649d6f50

[ "MIT" ]

null

test_cases/apache_avro_adapter.py

QratorLabs/ritfest2016

cddaaa9e827f5315d2e426c083029124649d6f50

[ "MIT" ]

null

import io import avro.io try: from avro.schema import parse except ImportError: from avro.schema import Parse as parse class ApacheAvroAdapter(object): NAME = 'avro' def __init__(self): with open('specs/str.avsc', 'r') as f: schema = parse(f.read()) self.str_reader = avro.io.DatumReader(schema) self.str_writer = avro.io.DatumWriter(schema) with open('specs/bin.avsc', 'r') as f: schema = parse(f.read()) self.bin_reader = avro.io.DatumReader(schema) self.bin_writer = avro.io.DatumWriter(schema) with open('specs/int.avsc', 'r') as f: schema = parse(f.read()) self.int_reader = avro.io.DatumReader(schema) self.int_writer = avro.io.DatumWriter(schema) with open('specs/float.avsc', 'r') as f: schema = parse(f.read()) self.float_reader = avro.io.DatumReader(schema) self.float_writer = avro.io.DatumWriter(schema) with open('specs/null.avsc', 'r') as f: schema = parse(f.read()) self.null_reader = avro.io.DatumReader(schema) self.null_writer = avro.io.DatumWriter(schema) with open('specs/bool.avsc', 'r') as f: schema = parse(f.read()) self.bool_reader = avro.io.DatumReader(schema) self.bool_writer = avro.io.DatumWriter(schema) with open('specs/array.avsc', 'r') as f: schema = parse(f.read()) self.array_reader = avro.io.DatumReader(schema) self.array_writer = avro.io.DatumWriter(schema) with open('specs/map.avsc', 'r') as f: schema = parse(f.read()) self.map_reader = avro.io.DatumReader(schema) self.map_writer = avro.io.DatumWriter(schema) with open('specs/struct10.avsc', 'r') as f: schema = parse(f.read()) self.struct10_reader = avro.io.DatumReader(schema) self.struct10_writer = avro.io.DatumWriter(schema) with open('specs/struct_map.avsc', 'r') as f: schema = parse(f.read()) self.struct_map_reader = avro.io.DatumReader(schema) self.struct_map_writer = avro.io.DatumWriter(schema) with open('specs/simple_list.avsc', 'r') as f: schema = parse(f.read()) self.simple_list_reader = avro.io.DatumReader(schema) self.simple_list_writer = avro.io.DatumWriter(schema) with open('specs/points_list.avsc', 'r') as f: schema = parse(f.read()) self.points_list_reader = avro.io.DatumReader(schema) self.points_list_writer = avro.io.DatumWriter(schema) def encoder_string(self, data): io_stream = io.BytesIO() self.str_writer.write( data, avro.io.BinaryEncoder(io_stream), ) return io_stream.getvalue() def decoder_string(self, data): io_stream = io.BytesIO(data) return self.str_reader.read(avro.io.BinaryDecoder(io_stream)) def encoder_bytes(self, data): io_stream = io.BytesIO() self.bin_writer.write( data, avro.io.BinaryEncoder(io_stream), ) return io_stream.getvalue() def decoder_bytes(self, data): io_stream = io.BytesIO(data) return self.bin_reader.read(avro.io.BinaryDecoder(io_stream)) def encoder_integer(self, data): io_stream = io.BytesIO() self.int_writer.write( data, avro.io.BinaryEncoder(io_stream), ) return io_stream.getvalue() def decoder_integer(self, data): io_stream = io.BytesIO(data) return self.int_reader.read(avro.io.BinaryDecoder(io_stream)) def encoder_float(self, data): io_stream = io.BytesIO() self.float_writer.write( data, avro.io.BinaryEncoder(io_stream), ) return io_stream.getvalue() def decoder_float(self, data): io_stream = io.BytesIO(data) return self.float_reader.read(avro.io.BinaryDecoder(io_stream)) def encoder_null(self, data): io_stream = io.BytesIO() self.null_writer.write( data, avro.io.BinaryEncoder(io_stream), ) return io_stream.getvalue() def decoder_null(self, data): io_stream = io.BytesIO(data) return self.null_reader.read(avro.io.BinaryDecoder(io_stream)) def encoder_boolean(self, data): io_stream = io.BytesIO() self.bool_writer.write( data, avro.io.BinaryEncoder(io_stream), ) return io_stream.getvalue() def decoder_boolean(self, data): io_stream = io.BytesIO(data) return self.bool_reader.read(avro.io.BinaryDecoder(io_stream)) def encoder_array(self, data): io_stream = io.BytesIO() self.array_writer.write( data, avro.io.BinaryEncoder(io_stream), ) return io_stream.getvalue() def decoder_array(self, data): io_stream = io.BytesIO(data) return self.array_reader.read(avro.io.BinaryDecoder(io_stream)) def encoder_map(self, data): io_stream = io.BytesIO() self.map_writer.write( data, avro.io.BinaryEncoder(io_stream), ) return io_stream.getvalue() def decoder_map(self, data): io_stream = io.BytesIO(data) return self.map_reader.read(avro.io.BinaryDecoder(io_stream)) def encoder_struct_10(self, data): io_stream = io.BytesIO() self.struct10_writer.write( data, avro.io.BinaryEncoder(io_stream), ) return io_stream.getvalue() def decoder_struct_10(self, data): io_stream = io.BytesIO(data) return self.struct10_reader.read(avro.io.BinaryDecoder(io_stream)) def encoder_struct_map(self, data): io_stream = io.BytesIO() self.struct_map_writer.write( data, avro.io.BinaryEncoder(io_stream), ) return io_stream.getvalue() def decoder_struct_map(self, data): io_stream = io.BytesIO(data) return self.struct_map_reader.read(avro.io.BinaryDecoder(io_stream)) def encoder_simple_list(self, data): io_stream = io.BytesIO() self.simple_list_writer.write( data, avro.io.BinaryEncoder(io_stream), ) return io_stream.getvalue() def decoder_simple_list(self, data): io_stream = io.BytesIO(data) return self.simple_list_reader.read( avro.io.BinaryDecoder(io_stream), ) def encoder_points_list(self, data): io_stream = io.BytesIO() self.points_list_writer.write( data, avro.io.BinaryEncoder(io_stream), ) return io_stream.getvalue() def decoder_points_list(self, data): io_stream = io.BytesIO(data) return self.points_list_reader.read( avro.io.BinaryDecoder(io_stream), )

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76

0.604272

879

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4.711035

0.063709

0.115914

0.057957

0.092731

0.907752

0.895677

0.82299

0.718908

0.572567

0.330596

0

0.002747

0.283867

7,116

221

77

32.199095

0.809851

0

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0

0.030635

0.009134

0

1

0.138122

false

0

0.027624

0

0.309392

0

null

0

1

0

null

0

4

e8fe259271609942f6b02a56e3c6e11a5d2eed49

1,060

py

Python

Modules/Helpers/Bomb/SerialNumber.py

cweeks12/KTANE-Solver

b162bd107c0ac90a892659461819214772a04f9d

[ "MIT" ]

null

Modules/Helpers/Bomb/SerialNumber.py

cweeks12/KTANE-Solver

b162bd107c0ac90a892659461819214772a04f9d

[ "MIT" ]

null

Modules/Helpers/Bomb/SerialNumber.py

cweeks12/KTANE-Solver

b162bd107c0ac90a892659461819214772a04f9d

[ "MIT" ]

null

class SerialNumber: def __init__(self, serialNumber): if not (len(serialNumber) == 6): raise ValueError('Serial Number must be 6 digits long') self._serialNumber = serialNumber def __str__(self): return 'S/N: {}'.format(self._serialNumber) def __repr__(self): return 'SerialNumber: {}'.format(self._serialNumber) def getSerialNumber(self): return self._serialNumber def containsVowel(self): VOWELS = ['a', 'e', 'i', 'o', 'u'] for character in self._serialNumber: if character in VOWELS: return True return False def lastDigitOdd(self): try: lastDigitValue = int(self._serialNumber[-1]) except ValueError: return False return lastDigitValue % 2 == 1 def lastDigitEven(self): try: lastDigitValue = int(self._serialNumber[-1]) except ValueError: return False return lastDigitValue % 2 == 0

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py

Python

dateinfer/__init__.py

avishai-o/dateinfer

894fe26b3b60c94d003f2ae0a55f1d9f1e40cf80

[ "Apache-2.0" ]

null

dateinfer/__init__.py

avishai-o/dateinfer

894fe26b3b60c94d003f2ae0a55f1d9f1e40cf80

[ "Apache-2.0" ]

null

dateinfer/__init__.py

avishai-o/dateinfer

894fe26b3b60c94d003f2ae0a55f1d9f1e40cf80

[ "Apache-2.0" ]

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__author__ = 'jeffrey.starr@ztoztechnologies.com' from .infer import infer

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py

Python

pytuber/version.py

tefra/pytube.fm

d8e8d5dfe928497f69d208df4c21b049a726dbda

[ "MIT" ]

8

2019-01-27T00:52:20.000Z

2021-07-15T15:57:19.000Z

pytuber/version.py

tefra/pytube.fm

d8e8d5dfe928497f69d208df4c21b049a726dbda

[ "MIT" ]

22

2019-01-25T14:57:08.000Z

2021-12-13T19:55:04.000Z

pytuber/version.py

tefra/pytube.fm

d8e8d5dfe928497f69d208df4c21b049a726dbda

[ "MIT" ]

4

2019-02-17T09:56:30.000Z

2021-04-17T17:53:13.000Z

version = "20.1"

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335dbfd8eeada3150621b5e132ff38b941943c70

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py

Python

app/cogs/base/__init__.py

fossabot/Starboard-2

798e2d04995ae7d920e76708b9ea8fae6f4af319

[ "MIT" ]

16

2021-01-19T19:12:00.000Z

2021-12-21T12:00:04.000Z

app/cogs/base/__init__.py

Davi-the-Mudkip/Starboard-2

4de3c689ffef007e4f4a279251d107d890b69b15

[ "MIT" ]

15

2021-04-02T16:58:48.000Z

2022-03-28T06:09:49.000Z

app/cogs/base/__init__.py

Davi-the-Mudkip/Starboard-2

4de3c689ffef007e4f4a279251d107d890b69b15

[ "MIT" ]

13

2021-01-21T14:26:00.000Z

2021-09-29T18:55:17.000Z

from app.classes.bot import Bot from . import base_commands, base_events def setup(bot: Bot): base_commands.setup(bot) base_events.setup(bot)

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33691ce250a8717c15ad812e29257b13be0864ea

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py

Python

src/petronia/defimpl/configuration/file/defs.py

groboclown/petronia

486338023d19cee989e92f0c5692680f1a37811f

[ "MIT" ]

19

2017-06-21T10:28:24.000Z

2021-12-31T11:49:28.000Z

src/petronia/defimpl/configuration/file/defs.py

groboclown/petronia

486338023d19cee989e92f0c5692680f1a37811f

[ "MIT" ]

10

2016-11-11T18:57:57.000Z

2021-02-01T15:33:43.000Z

src/petronia/defimpl/configuration/file/defs.py

groboclown/petronia

486338023d19cee989e92f0c5692680f1a37811f

[ "MIT" ]

3

2017-09-17T03:29:35.000Z

2019-06-03T10:43:08.000Z

""" Basic type definitions. """

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py

Python

plot.py

osamayasserr/vaccum-cleaner

d6b8ea2eedadaca001ae14b66ff55c42ff3facb8

[ "MIT" ]

2

2021-01-11T22:54:38.000Z

2021-01-28T16:15:13.000Z

plot.py

osamayasserr/vaccum-cleaner

d6b8ea2eedadaca001ae14b66ff55c42ff3facb8

[ "MIT" ]

null

plot.py

osamayasserr/vaccum-cleaner

d6b8ea2eedadaca001ae14b66ff55c42ff3facb8

[ "MIT" ]

1

2021-01-13T09:59:14.000Z

import math import pylab from app import StandardRobot, LeastDistanceRobot, RandomWalkRobot, runSimulation def timeNumberPlot(title, x_label, y_label, dim_length): """ Plots the relation between the number of robots and the average time taken by different robots to clean a portion of the room. """ num_robot_range = range(1, 11) times1, times2, times3 = ([] for i in range(3)) time_Robot_list = [times1, times2, times3] Robots = [StandardRobot, LeastDistanceRobot, RandomWalkRobot] for i in range(len(Robots)): for num_robots in num_robot_range: result = runSimulation( num_robots, 1.0, dim_length, dim_length, 1, 100, Robots[i]) time_Robot_list[i].append(result[0]) for time in time_Robot_list: pylab.plot(num_robot_range, time) pylab.title(title+f"\n for room size of {dim_length}x{dim_length}") pylab.legend(('StandardRobot', 'LeastDistanceRobot', 'RandomWalkRobot')) pylab.xlabel(x_label) pylab.ylabel(y_label) pylab.show() def timeAspectRatioPlot(title, x_label, y_label, area, num_robots): """ Plots the relation between the area of a square room and the average and the average time taken by diffrent robots to clean a portion of th room. """ aspect_ratios = [] times1, times2, times3 = ([] for i in range(3)) time_Robot_list = [times1, times2, times3] Robots = [StandardRobot, LeastDistanceRobot, RandomWalkRobot] start = math.sqrt(area) aspect_dim_list = [] for dim in range(1, 11): aspect_dim_list.append(start*dim) for width in aspect_dim_list: height = area / width aspect_ratios.append("1 : {0}".format(int(width/height))) for i in range(len(Robots)): result = runSimulation( num_robots, 1.0, int(width), int(height), 1, 100, Robots[i]) time_Robot_list[i].append(result[0]) for time in time_Robot_list: pylab.plot(aspect_ratios, time) pylab.title( title+f"\n for {num_robots} Robots & Area of {area}") pylab.legend(('StandardRobot', 'LeastDistanceRobot', "RandomWalkRobot")) pylab.xlabel(x_label) pylab.ylabel(y_label) pylab.show() def wasteAspectRatioPlot(title, x_label, y_label, num_robots, area): """ Plots the relation between room's aspect ratio and the waste percentage for each robot. """ aspect_ratios = [] times1, times2, times3 = ([] for i in range(3)) waste_Robot_list = [times1, times2, times3] Robots = [StandardRobot, LeastDistanceRobot, RandomWalkRobot] start = math.sqrt(area) aspect_dim_list = [] for dim in range(1, 11): aspect_dim_list.append(start*dim) for width in aspect_dim_list: height = area / width aspect_ratios.append("1 : {0}".format(int(width/height))) for i in range(len(Robots)): result = runSimulation( num_robots, 1.0, int(width), int(height), 1, 100, Robots[i]) waste_Robot_list[i].append(result[1]/result[0]) for time in waste_Robot_list: pylab.plot(aspect_ratios, time) pylab.title( title+"\n for {0} Robots & Area of {1}".format(num_robots, area)) pylab.legend(('StandardRobot', 'LeastDistanceRobot', "RandomWalkRobot")) pylab.xlabel(x_label) pylab.ylabel(y_label) pylab.show() def timeAreaPlot(title, x_label, y_label, num_robots): """ Plots the relation between the area of a room and the average time taken by different robots to clean a certain portion of that room. """ dim_length_range = range(5, 31, 5) times1, times2, times3 = ([] for i in range(3)) time_Robot_list = [times1, times2, times3] Robots = [StandardRobot, LeastDistanceRobot, RandomWalkRobot] for i in range(len(Robots)): for dim_length in dim_length_range: result = runSimulation( num_robots, 1.0, dim_length, dim_length, 1, 100, Robots[i]) time_Robot_list[i].append(result[0]) for time in time_Robot_list: pylab.plot(dim_length_range, time) pylab.title(title+"\n for {0} Robots".format(num_robots)) pylab.legend(('StandardRobot', 'LeastDistanceRobot', "RandomWalkRobot")) pylab.xlabel(x_label) pylab.ylabel(y_label) pylab.show() def consistencyPlot(title, x_label, y_label, dim_length, num_robots): """ Performs the same exact experiment multiple of times for a robot or a number of robots and plots the outcomes of these experiments in terms of time taken for each individual experiment to measure the consistency of performance for various robots. """ try_num_range = range(16) times1, times2, times3 = ([] for i in range(3)) time_Robot_list = [times1, times2, times3] Robots = [StandardRobot, LeastDistanceRobot, RandomWalkRobot] for i in range(len(Robots)): for try_num in try_num_range: result = runSimulation( num_robots, 1.0, dim_length, dim_length, 1, 1, Robots[i]) time_Robot_list[i].append(result[0]) for time in time_Robot_list: pylab.plot(try_num_range, time) pylab.title( title+"\n for size of {0}x{0} & {1} Robots".format(dim_length, num_robots)) pylab.legend(('StandardRobot', 'LeastDistanceRobot', "RandomWalkRobot")) pylab.xlabel(x_label) pylab.ylabel(y_label) pylab.show() def timeAreaPortionPlot(title, x_label, y_label, num_robots, robot_type): """ Plots the relation between the area of square room and the average time taken by a robot to clean a specific portion of the room, (Different portions are plotted) """ dim_length_range = range(5, 31, 5) coverage_percent_range = range(70, 105, 5) coverage_percent_range = [i/100 for i in coverage_percent_range] alist, blist, clist, dlist, elist, flist, glist = ([] for i in range(7)) coverage_percent_list = [alist, blist, clist, dlist, elist, flist, glist] for dim_length in dim_length_range: for i in range(len(coverage_percent_range)): result = runSimulation( num_robots, 1.0, dim_length, dim_length, coverage_percent_range[i], 100, robot_type) coverage_percent_list[i].append(result[0]) for percentlist in coverage_percent_list: pylab.plot(dim_length_range, percentlist) pylab.title( title+f"\n for {num_robots} bots of {robot_type.__name__} type") pylab.legend(("0.7", "0.75", "0.8", "0.85", "0.9", "0.95", "1.0")) pylab.xlabel(x_label) pylab.ylabel(y_label) pylab.show() # Not sure about it def CoverageWasteRatio(title, x_label, y_label, num_robots, robot_type): """ efficiency """ dim_length_range = range(5, 31, 5) coverage_percent_range = range(70, 105, 5) coverage_percent_range = [i/100 for i in coverage_percent_range] alist, blist, clist, dlist, elist, flist, glist = ([] for i in range(7)) coverage_percent_list = [alist, blist, clist, dlist, elist, flist, glist] for dim_length in dim_length_range: for i in range(len(coverage_percent_range)): result = runSimulation( num_robots, 1.0, dim_length, dim_length, coverage_percent_range[i], 100, robot_type) coverage_percent_list[i].append(result[1]/result[0]) for percentlist in coverage_percent_list: pylab.plot(dim_length_range, percentlist) pylab.title( title+f"\n for {num_robots} bots of {robot_type.__name__} type") pylab.legend(("0.7", "0.75", "0.8", "0.85", "0.9", "0.95", "1.0")) pylab.xlabel(x_label) pylab.ylabel(y_label) pylab.show() def timeNumberPortionPlot(title, x_label, y_label, dim_length, robot_type): """ Plots the relation between the number of robots and the average time taken to clean a certain portion of the room, (each portion is plotted) """ num_robot_range = range(1, 11) coverage_percent_range = range(70, 105, 5) coverage_percent_range = [i/100 for i in coverage_percent_range] alist, blist, clist, dlist, elist, flist, glist = ([] for i in range(7)) coverage_percent_list = [alist, blist, clist, dlist, elist, flist, glist] for num_robots in num_robot_range: for i in range(len(coverage_percent_range)): result = runSimulation( num_robots, 1.0, dim_length, dim_length, coverage_percent_range[i], 100, robot_type) coverage_percent_list[i].append(result[0]) for percentlist in coverage_percent_list: pylab.plot(num_robot_range, percentlist) pylab.title( title+f"\n for {num_robots} bots of {robot_type.__name__} type") pylab.legend(("0.7", "0.75", "0.8", "0.85", "0.9", "0.95", "1.0")) pylab.xlabel(x_label) pylab.ylabel(y_label) pylab.show() def wasteAreaNumberPlot(title, x_label, y_label): """ Plots the relation between the waste percentage and the area of the room for a different number of robots, (each plotted individually) """ alist, blist, clist, dlist, elist = ([] for i in range(5)) num_robots_list = [alist, blist, clist, dlist, elist] t1list, t2list, t3list, t4list, t5list = ([] for i in range(5)) time_robots_list = [t1list, t2list, t3list, t4list, t5list] dim_length_range = range(10, 51, 5) num_robots_range = range(5, 26, 5) for dim_length in dim_length_range: for i in range(len(num_robots_list)): results = runSimulation( num_robots_range[i], 1.0, dim_length, dim_length, 1, 100, LeastDistanceRobot) num_robots_list[i].append(results[1]/results[0]) time_robots_list[i].append(results[0]) for i in range(len(num_robots_range)): pylab.plot(dim_length_range, num_robots_list[i]) pylab.title(title) pylab.legend(('5', '10', "15", "20", "25")) pylab.xlabel(x_label) pylab.ylabel(y_label) pylab.show() # Not sure about it def NumOfBotSizeWasteRatio(title, x_label, y_label, dim_length): """ What information does the plot produced by this function tell you? waste on average with num on bots to find the sweet spot for this room another function must be madfe with """ alist, blist, clist, dlist, elist = ([] for i in range(5)) num_robots_list = [alist, blist, clist, dlist, elist] t1list, t2list, t3list, t4list, t5list = ([] for i in range(5)) time_robots_list = [t1list, t2list, t3list, t4list, t5list] num_robots_range = range(5, 26, 5) for i in range(len(num_robots_list)): results = runSimulation( num_robots_range[i], 1.0, dim_length, dim_length, 1, 50, LeastDistanceRobot) num_robots_list[i].append(results[1]/results[0]) time_robots_list[i].append(results[0]) for i in range(len(num_robots_list)): pylab.scatter(time_robots_list[i], num_robots_list[i], s=100) pylab.title(title) pylab.legend(('5', '10', "15", "20", "25")) pylab.xlabel(x_label) pylab.ylabel(y_label) pylab.show() # Plots # timeNumberPlot('Number of robots & Time relation', # 'Number of robots', 'Time (Tick)', 20) # timeAspectRatioPlot('Aspect Ratio & Time relation', # 'Room Aspect Ratio', 'Time', 100, 1) # wasteAspectRatioPlot("AspectRatio & WasteRatio relation", # "Room Aspect Ratio", "Waste Percentage", 1, 100) # timeAreaPlot("Time & Room Area relation", # "Length (squared)", "Time", 1) # consistencyPlot("Consistency", "Try number", "Time", 20, 1) # timeAreaPortionPlot('Room Portion & Time relation', # 'Length (squared)', 'Time', 1, RandomWalkRobot) # # CoverageWasteRatio('Coverage Percent & Size Relation','Length (squared)', # # 'Waste Percentage', 5, LeastDistanceRobot) # timeNumberPortionPlot("CostQualityTime", "Number of robots", # "Time", 10, LeastDistanceRobot) # wasteAreaNumberPlot('Waste & Size Relation', 'Length (squared)', # 'Waste Percentage') # # NumOfBotSizeWasteRatio('Waste & Size & Num of bots Relation\n LeastDistanceRobot', # # 'Time', ' Waste Percentage', 20)

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nipype/workflows/dmri/mrtrix/__init__.py

felixsc1/nipype

e722d6170593583f16ddfcb95473e5d30b5f1d7c

[ "Apache-2.0" ]

8

2019-05-29T09:38:30.000Z

2021-01-20T03:36:59.000Z

nipype/workflows/dmri/mrtrix/__init__.py

felixsc1/nipype

e722d6170593583f16ddfcb95473e5d30b5f1d7c

[ "Apache-2.0" ]

12

2021-03-09T03:01:16.000Z

2022-03-11T23:59:36.000Z

nipype/workflows/dmri/mrtrix/__init__.py

felixsc1/nipype

e722d6170593583f16ddfcb95473e5d30b5f1d7c

[ "Apache-2.0" ]

2

2017-09-23T16:22:00.000Z

2019-08-01T14:18:52.000Z

# -*- coding: utf-8 -*- from __future__ import absolute_import from .diffusion import create_mrtrix_dti_pipeline from .connectivity_mapping import create_connectivity_pipeline from .group_connectivity import (create_group_connectivity_pipeline)

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py

Python

deserialize/decorators/default.py

KrzysztofSajko/deserialize

f9192cfc9913003c7362d0ae246e3475e78690d8

[ "MIT" ]

18

2019-06-27T12:08:36.000Z

2022-03-11T03:36:50.000Z

deserialize/decorators/default.py

KrzysztofSajko/deserialize

f9192cfc9913003c7362d0ae246e3475e78690d8

[ "MIT" ]

19

2019-01-05T16:52:28.000Z

2021-11-12T12:17:42.000Z

deserialize/decorators/default.py

KrzysztofSajko/deserialize

f9192cfc9913003c7362d0ae246e3475e78690d8

[ "MIT" ]

5

2019-06-26T13:41:44.000Z

2021-11-02T17:03:38.000Z

"""Decorators used for adding functionality to the library.""" from deserialize.exceptions import NoDefaultSpecifiedException def default(key_name, default_value): """A decorator function for mapping default values to key names.""" def store_defaults_map(class_reference): """Store the defaults map.""" if not hasattr(class_reference, "__deserialize_defaults_map__"): setattr(class_reference, "__deserialize_defaults_map__", {}) class_reference.__deserialize_defaults_map__[key_name] = default_value return class_reference return store_defaults_map def _has_default(class_reference, key_name): """Returns True if this key has a default, False otherwise. :returns: True if this key has a default, False otherwise. """ if not hasattr(class_reference, "__deserialize_defaults_map__"): return False return key_name in class_reference.__deserialize_defaults_map__ def _get_default(class_reference, key_name): """Get the default value for the given class and key name. :raises NoDefaultSpecifiedException: If a default hasn't been specified """ if not hasattr(class_reference, "__deserialize_defaults_map__"): raise NoDefaultSpecifiedException() if key_name in class_reference.__deserialize_defaults_map__: return class_reference.__deserialize_defaults_map__[key_name] raise NoDefaultSpecifiedException()

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siem_integrations/clx_query_service/clxquery/apps.py

mdemoret-nv/clx

3737706187d8f5720561e10b85cbd638c77b9267

[ "Apache-2.0" ]

143

2019-11-06T16:08:50.000Z

2022-03-22T12:14:59.000Z

siem_integrations/clx_query_service/clxquery/apps.py

mdemoret-nv/clx

3737706187d8f5720561e10b85cbd638c77b9267

[ "Apache-2.0" ]

361

2019-11-06T20:33:24.000Z

2022-03-31T19:59:12.000Z

siem_integrations/clx_query_service/clxquery/apps.py

mdemoret-nv/clx

3737706187d8f5720561e10b85cbd638c77b9267

[ "Apache-2.0" ]

82

2019-11-06T17:36:42.000Z

2022-03-17T07:03:04.000Z

from django.apps import AppConfig class ClxQueryConfig(AppConfig): name = "clxquery"

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68aff5ecfb731da2cc7a3de58df5147f26f41df7

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py

Python

Example/facenet_example.py

generalized-intelligence/Tegu

99394f62f2acdeed9e985685811e76f94ab7ac11

[ "BSD-3-Clause" ]

11

2019-01-29T07:01:38.000Z

2021-07-28T06:25:49.000Z

Example/facenet_example.py

generalized-intelligence/Tegu

99394f62f2acdeed9e985685811e76f94ab7ac11

[ "BSD-3-Clause" ]

23

2019-02-18T13:35:09.000Z

2022-03-11T23:42:11.000Z

Example/facenet_example.py

generalized-intelligence/Tegu

99394f62f2acdeed9e985685811e76f94ab7ac11

[ "BSD-3-Clause" ]

3

2019-02-12T08:09:45.000Z

2019-06-06T02:28:55.000Z

import sys sys.path.append('..') from Network.facenet.API import build_face_manager, detetion_and_recongnize ''' You have to build face manager before you start detection and recongnize. ''' face_manager = build_face_manager(r"face/dataset/path") result = detetion_and_recongnize(face_manager, r"images/path/you/want/to/detect") print(result)

28.833333

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5.096154

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0.095376

346

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null

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null

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4

68b1fd87e78b3220b657c40bcdf0a4d61bd25d07

149

py

Python

Fundamentos/mundo_pc/dispositivo_entrada.py

ijchavez/python

bccd94a9bee90125e2be27b0355bdaedb0ae9d19

[ "Unlicense" ]

null

Fundamentos/mundo_pc/dispositivo_entrada.py

ijchavez/python

bccd94a9bee90125e2be27b0355bdaedb0ae9d19

[ "Unlicense" ]

null

Fundamentos/mundo_pc/dispositivo_entrada.py

ijchavez/python

bccd94a9bee90125e2be27b0355bdaedb0ae9d19

[ "Unlicense" ]

null

class DispositivoEntrada: def __init__(self, marca, tipo_entrada): self._marca = marca self.tipo_entrada = tipo_entrada

24.833333

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0.657718

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null

0

1

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4

d7ad4862b9b6c2d525c8d2c7b82c06b8e22cd716

103

py

Python

pytoolkit/applications/__init__.py

ak110/pytoolk

8eef7e0add7bbc0ced1f1f1d82ed245388cc6684

[ "MIT" ]

26

2018-12-03T23:02:56.000Z

2020-08-07T06:33:21.000Z

pytoolkit/applications/__init__.py

ak110/pytoolk

8eef7e0add7bbc0ced1f1f1d82ed245388cc6684

[ "MIT" ]

null

pytoolkit/applications/__init__.py

ak110/pytoolk

8eef7e0add7bbc0ced1f1f1d82ed245388cc6684

[ "MIT" ]

5

2019-08-10T11:10:59.000Z

2020-11-18T02:39:37.000Z

"""Kerasの各種モデル。""" # pylint: skip-file # flake8: noqa from . import darknet53, efficientnet, xception

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d7ba596dc0cf678dc2c3cf189ee8dd90496c1aa2

3,103

py

Python

crossdock/problems/experiment/crossdock_15_25_15_5_5.py

krerkkiat/icpr-2019-public

f3023c009f3335ce58204a45c270cfeb6ef19367

[ "BSD-3-Clause" ]

null

crossdock/problems/experiment/crossdock_15_25_15_5_5.py

krerkkiat/icpr-2019-public

f3023c009f3335ce58204a45c270cfeb6ef19367

[ "BSD-3-Clause" ]

null

crossdock/problems/experiment/crossdock_15_25_15_5_5.py

krerkkiat/icpr-2019-public

f3023c009f3335ce58204a45c270cfeb6ef19367

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- """ Cross-docking truck data. This data is generated by a generate_dataset.py script. Created: Feb 18, 2019 at 07:30:02 PM Copyright (c) 2022, Krerkkiat Chusap This souce code is licensed under BSD 3-Clause "New" or "Revised" License (see LICENSE for details). """ from pathlib import Path # Problem data. name = Path(__file__).stem inbound_gate_count = 5 outbound_gate_count = 5 # Parameters used to generate this data. number_of_total_product_types = 15 product_per_truck_rate = 0.35 possible_inbound_total_product = [250, 340] # Truck data. _inbound_truck_raw_data = [ [0, 0, 0, 0, 0, 0, 184, 12, 0, 0, 3, 0, 51, 0, 0], [76, 0, 0, 0, 0, 0, 0, 0, 41, 73, 42, 0, 20, 88, 0], [0, 113, 74, 0, 83, 18, 0, 0, 0, 0, 30, 22, 0, 0, 0], [0, 41, 15, 7, 0, 0, 44, 113, 0, 0, 0, 120, 0, 0, 0], [0, 0, 0, 0, 0, 0, 33, 211, 0, 6, 0, 0, 0, 0, 0], [0, 0, 0, 0, 58, 0, 0, 9, 38, 23, 0, 0, 93, 119, 0], [69, 0, 0, 26, 0, 20, 0, 0, 205, 0, 0, 0, 6, 0, 14], [0, 62, 82, 71, 0, 92, 2, 0, 0, 0, 0, 0, 31, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 54, 50, 0, 0, 22, 124, 0], [0, 0, 0, 141, 0, 0, 0, 0, 27, 0, 3, 0, 113, 10, 46], [0, 0, 0, 143, 0, 0, 53, 21, 0, 0, 0, 33, 0, 0, 0], [0, 76, 32, 47, 0, 7, 0, 0, 0, 87, 0, 0, 0, 0, 91], [0, 0, 42, 0, 0, 115, 47, 0, 0, 0, 0, 0, 0, 46, 0], [9, 47, 0, 0, 0, 93, 4, 0, 46, 141, 0, 0, 0, 0, 0], [0, 0, 0, 0, 60, 0, 46, 0, 47, 39, 98, 50, 0, 0, 0], ] _outbound_truck_raw_data = [ [0, 16, 11, 41, 5, 28, 11, 32, 12, 13, 2, 2, 16, 17, 5], [9, 56, 11, 16, 9, 2, 2, 4, 99, 20, 9, 33, 1, 2, 15], [1, 7, 8, 0, 1, 22, 19, 7, 5, 8, 0, 14, 50, 10, 13], [2, 5, 4, 6, 1, 12, 4, 47, 2, 11, 2, 6, 4, 29, 0], [7, 4, 6, 8, 58, 12, 5, 4, 1, 0, 3, 6, 14, 22, 5], [4, 4, 16, 5, 0, 4, 1, 11, 2, 6, 2, 9, 3, 2, 1], [15, 10, 24, 23, 7, 5, 3, 27, 33, 16, 10, 9, 44, 6, 10], [5, 0, 5, 14, 1, 0, 35, 30, 36, 41, 16, 4, 4, 20, 1], [4, 21, 12, 25, 2, 7, 13, 14, 8, 30, 2, 4, 6, 27, 6], [22, 42, 1, 47, 8, 33, 0, 7, 13, 2, 20, 17, 50, 9, 4], [10, 15, 3, 55, 17, 1, 23, 2, 11, 56, 9, 7, 0, 12, 8], [14, 18, 1, 11, 11, 5, 19, 27, 34, 6, 1, 3, 4, 31, 0], [1, 1, 45, 29, 11, 14, 62, 2, 5, 10, 1, 7, 13, 7, 23], [4, 7, 26, 46, 15, 3, 1, 1, 13, 21, 1, 0, 4, 20, 1], [4, 17, 7, 12, 11, 19, 7, 2, 4, 69, 3, 18, 3, 16, 16], [4, 5, 8, 10, 8, 1, 28, 59, 2, 23, 7, 10, 11, 2, 1], [18, 6, 12, 7, 1, 27, 2, 5, 4, 28, 7, 27, 2, 26, 7], [6, 2, 10, 3, 13, 61, 2, 1, 52, 5, 1, 1, 45, 39, 5], [1, 4, 4, 12, 5, 24, 16, 7, 16, 22, 15, 1, 4, 6, 2], [1, 35, 2, 3, 1, 28, 55, 7, 16, 9, 4, 6, 9, 2, 8], [0, 13, 2, 13, 3, 5, 1, 11, 2, 12, 18, 1, 25, 17, 1], [4, 5, 5, 15, 8, 4, 31, 1, 12, 7, 18, 30, 3, 34, 2], [4, 31, 4, 3, 2, 16, 10, 22, 51, 1, 18, 5, 2, 9, 12], [2, 13, 13, 22, 0, 9, 30, 36, 9, 2, 6, 5, 19, 22, 3], [12, 2, 5, 9, 3, 3, 33, 0, 16, 1, 1, 0, 0, 0, 2], ] # Derived data. inbound_truck_count = len(_inbound_truck_raw_data) outbound_truck_count = len(_outbound_truck_raw_data) total_truck_count = inbound_truck_count + outbound_truck_count

41.373333

100

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3,103

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1

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null

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4

d7bba15bb04519ffa2576bb1d237b14798175a4e

102

py

Python

demo_backend/text_generator/apps.py

WallaceLiu/Web-Full-Stack-Practice

2551ab12d7b500387cc511f1cb7428aef4d59ab4

[ "BSD-2-Clause" ]

33

2019-03-04T12:56:47.000Z

2021-11-27T02:29:45.000Z

demo_backend/text_generator/apps.py

WallaceLiu/Web-Full-Stack-Practice

2551ab12d7b500387cc511f1cb7428aef4d59ab4

[ "BSD-2-Clause" ]

1

2021-06-10T21:39:42.000Z

demo_backend/text_generator/apps.py

WallaceLiu/Web-Full-Stack-Practice

2551ab12d7b500387cc511f1cb7428aef4d59ab4

[ "BSD-2-Clause" ]

9

2019-03-04T13:15:51.000Z

2021-08-24T01:24:34.000Z

from django.apps import AppConfig class TextGeneratorConfig(AppConfig): name = 'text_generator'

17

37

0.784314

11

102

7.181818

0.909091

0

0.147059

102

5

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false

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null

0

1

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1

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4

d7c5b2db0f4c72202956af5eb6262f4c752182db

24

py

Python

fortifyapi/__init__.py

brownsec/fortifyapi

18ce25eb0dd082dd3017f27162740cb29f7bda85

[ "MIT" ]

null

fortifyapi/__init__.py

brownsec/fortifyapi

18ce25eb0dd082dd3017f27162740cb29f7bda85

[ "MIT" ]

1

2021-06-25T15:18:20.000Z

fortifyapi/__init__.py

brownsec/fortifyapi

18ce25eb0dd082dd3017f27162740cb29f7bda85

[ "MIT" ]

null

__version__ = '1.0.19'

8

22

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2

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false

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null

0

1

0

1

0

null

0

4

d7d6977e92b32a6c300621013c13d82efe31ea62

3,700

py

Python

lucky_number.py

sankalpa-udawaththa/Python-game-lucky-number

7c7b402f88bc5ce2acb8a77f7cd5450bc05f2590

[ "MIT" ]

null

lucky_number.py

sankalpa-udawaththa/Python-game-lucky-number

7c7b402f88bc5ce2acb8a77f7cd5450bc05f2590

[ "MIT" ]

null

lucky_number.py

sankalpa-udawaththa/Python-game-lucky-number

7c7b402f88bc5ce2acb8a77f7cd5450bc05f2590

[ "MIT" ]

null

import random secret = random.randint(0,100000) guess_count = 0 guess_limit = 3 name = input("Enter Your Name: ") print(f"Hello, {name.upper()} welcome") print(" | This is your MAGIC CODE ➡️ [NFHSFXYW1234" + str(secret) + "5678910WRYUCN] |") print(" | Magic CODE Range Between 0 and 100000 |") print(" | You can find your Lucky Number from above numbers |") print(" | Your MAGIC Number is here! |") print(" | Select you Lucky Number |") while guess_count < guess_limit: guess = int(input("guess: ")) if guess <= 100000: print("") else: print("invalid Code") print(''' ,adPPYba, 8b,dPPYba, 8b,dPPYba, ,adPPYba, 8b,dPPYba, a8P_____88 88P' "Y8 88P' "Y8 a8" "8a 88P' "Y8 8PP""""""" 88 88 8b d8 88 "8b, ,aa 88 88 "8a, ,a8" 88 `"Ybbd8"' 88 88 `"YbbdP"' 88 ''') print(f"Sorry {name.upper()} try another attempt") break guess_count += 1 if guess == secret: print(f"Congrats {name.upper()} you won! 😁😁😁😁😁😁😁😁😁😁😁😁😁😁😁😁😁") print(''' ┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌ ┌┌┌┌┌┌┌┌┌┌┌█████┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌ ┌┌┌┌┌┌┌┌┌┌███████┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌ ┌┌┌┌┌┌┌┌┌███┌┌┌██┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌ ┌┌┌┌┌┌┌┌┌██┌┌┌┌██┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌ ┌┌┌┌┌┌┌┌███┌┌┌┌███┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌ ┌┌┌┌┌┌┌┌███┌┌┌┌███┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌ ┌┌┌┌┌┌┌┌┌██┌┌┌┌┌███┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌ ┌┌┌┌┌┌┌┌┌███┌┌┌┌┌███┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌ ┌┌┌┌┌┌┌┌┌┌███┌┌┌┌┌████┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌ ┌┌┌┌┌┌┌┌┌┌┌██┌┌┌┌┌┌████┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌ ┌┌┌┌┌┌┌┌┌┌┌███┌┌┌┌┌┌┌███┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌ ┌┌┌┌┌┌┌┌┌┌┌┌███┌┌┌┌┌┌┌███┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌ ┌┌┌┌┌┌┌┌┌┌┌┌███┌┌┌┌┌┌┌┌███┌┌┌┌┌┌┌┌┌┌┌┌┌┌ ┌┌┌┌┌┌┌┌┌┌┌┌┌██┌┌┌┌┌┌┌┌┌┌███┌┌┌┌┌┌┌┌┌┌┌┌ ┌┌┌┌┌┌┌┌┌███┌███┌┌┌┌┌┌┌┌┌┌██┌┌┌┌┌┌┌┌┌┌┌┌ ┌┌┌┌████████████┌┌┌┌┌┌┌┌┌┌┌███┌┌┌┌┌┌┌┌┌┌ ┌┌████████┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌███┌┌┌┌┌┌┌┌┌ ┌███┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌█████████┌┌ ███┌┌┌┌█████████┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌█████┌ ██┌┌┌███████┌████┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌███┌ ██┌┌┌┌███┌┌┌┌┌┌┌███┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌██┌ ███┌┌┌┌┌┌┌┌┌┌┌█████┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌██┌ ┌███┌┌┌┌┌┌┌████████┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌██┌ ┌┌████████████┌┌┌████┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌██┌ ┌███┌██████┌┌┌┌┌┌┌████┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌██┌ ┌███┌┌┌┌┌┌┌┌┌┌┌██████┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌██┌ ┌┌████┌████┌██████████┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌██┌ ┌┌┌████████████┌┌┌┌┌███┌┌┌┌┌┌┌┌┌┌┌┌┌███┌ ┌┌┌┌██┌┌┌┌┌┌┌┌┌┌┌███████┌┌┌┌┌┌┌███████┌┌ ┌┌┌┌████┌┌┌┌┌┌████████┌┌┌┌┌┌┌┌████████┌┌ ┌┌┌┌┌████████████┌┌┌███┌┌┌┌┌███┌┌┌┌┌┌┌┌┌ ┌┌┌┌┌┌┌┌███┌█┌█┌┌┌┌┌┌███┌┌┌███┌┌┌┌┌┌┌┌┌┌ ┌┌┌┌┌┌┌┌███┌┌┌┌┌┌█████┌┌█████┌┌┌┌┌┌┌┌┌┌┌ ┌┌┌┌┌┌┌┌┌██████████████████┌┌┌┌┌┌┌┌┌┌┌┌┌ ┌┌┌┌┌┌┌┌┌┌██████████████┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌ ┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌┌''') break else: print("Sorry " + name + " You failed 😕😕😕😕😕😕😕😕") print(''' ░░░░░░░░░░░█████████████ ░░░░░░░░░███░███░░░░░░██ ███░░░░░██░░░░██░██████████ ████████░░░░░░████░░░░░░░██ ████░░░░░░░░░░██░░██████████ ████░░░░░░░░░░░███░░░░░░░░░██ ████░░░░░░░░░░░██░░██████████ ████░░░░░░░░░░░░████░░░░░░░░█ ████░░░░░░░░░░░░░███░░████░░█ █████████░░░░░░░░░░████░░░░░█ ███░░░░░██░░░░░░░░░░░░░█████ ░░░░░░░░░███░░░░░░░██████ ░░░░░░░░░░░██░░░░░░██ ░░░░░░░░░░░░███░░░░░██ ░░░░░░░░░░░░░░██░░░░██ ░░░░░░░░░░░░░░░███░░░██ ░░░░░░░░░░░░░░░░░██░░░█ ░░░░░░░░░░░░░░░░░░█░░░█ ░░░░░░░░░░░░░░░░░░██░██ ░░░░░░░░░░░░░░░░░░░███ Please , Try Again!''')

37.755102

119

0.176216

211

3,700

12.587678

0.601896

0.011295

0

0.026676

0.23

3,700

98

120

37.755102

0.198666

0

0.097826

0

0.854606

0.551332

0

1

0

false

0

0.01087

0

0.01087

0.152174

0

1

null

0

1

0

1

null

0

4

0bc7dbc7a380ff68f44a21a984691d373a93d819

454

py

Python

tests/__init__.py

coras-io/lint-review

0df19429a265a79edecb53b4371bf63db7e61617

[ "MIT" ]

2

2017-11-24T13:27:36.000Z

2019-08-23T15:02:36.000Z

tests/__init__.py

coras-io/lint-review

0df19429a265a79edecb53b4371bf63db7e61617

[ "MIT" ]

null

tests/__init__.py

coras-io/lint-review

0df19429a265a79edecb53b4371bf63db7e61617

[ "MIT" ]

2

2016-09-15T11:56:56.000Z

2016-10-11T21:27:24.000Z

import os import json from github3.pulls import PullFile from github3.repos.commit import RepoCommit def load_fixture(filename): path = os.path.dirname(os.path.abspath(__file__)) filename = os.path.join(path, 'fixtures', filename) fh = open(filename, 'r') return fh.read() def create_pull_files(data): return [PullFile(f) for f in json.loads(data)] def create_commits(data): return [RepoCommit(f) for f in json.loads(data)]

22.7

55

0.720264

68

454

4.691176

0.5

0.056426

0.031348

0.043887

0.125392

0

0.005263

0.162996

454

19

56

23.894737

0.834211

0

0.019824

0

1

0.230769

false

0

0.307692

0.153846

0.769231

0

null

0

null

0

1

0

1

0

4

04188d5b55bb17b85704edde7d4e46723975338c

67

py

Python

src/backend/database/__init__.py

aimanow/sft

dce87ffe395ae4bd08b47f28e07594e1889da819

[ "Apache-2.0" ]

null

src/backend/database/__init__.py

aimanow/sft

dce87ffe395ae4bd08b47f28e07594e1889da819

[ "Apache-2.0" ]

null

src/backend/database/__init__.py

aimanow/sft

dce87ffe395ae4bd08b47f28e07594e1889da819

[ "Apache-2.0" ]

null

from app.extensions import db, bcrypt __all__ = ['db', 'bcrypt']

13.4

37

0.686567

9

67

4.666667

0.777778

0.380952

0

0.164179

67

4

38

16.75

0.75

0

0.121212

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

04411ddb9c08843c7fce53cffbe76f07e4b16489

58

py

Python

experiments/spooky-mouse.py

Nithanaroy/invisible-pen

d6e69e20866b2992b5c2c5b47d623a693bed3134

[ "MIT" ]

null

experiments/spooky-mouse.py

Nithanaroy/invisible-pen

d6e69e20866b2992b5c2c5b47d623a693bed3134

[ "MIT" ]

6

2020-07-19T07:33:33.000Z

2022-03-27T04:52:28.000Z

experiments/spooky-mouse.py

Nithanaroy/invisible-pen

d6e69e20866b2992b5c2c5b47d623a693bed3134

[ "MIT" ]

null

import pyautogui pyautogui.moveTo(2317, 425, duration=1)

14.5

39

0.793103

8

58

5.75

0.875

0

0.153846

0.103448

58

3

40

19.333333

0.730769

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

f0ab28142605e757508c738f9eafe63973378e0d

55

py

Python

test1.py

ktbyers/pyneta

1690ce5a6ddb640198ccf3bca26f32a65d772b92

[ "Apache-2.0" ]

2

2018-11-08T09:20:42.000Z

2021-07-15T18:12:06.000Z

test1.py

ktbyers/pyneta

1690ce5a6ddb640198ccf3bca26f32a65d772b92

[ "Apache-2.0" ]

null

test1.py

ktbyers/pyneta

1690ce5a6ddb640198ccf3bca26f32a65d772b92

[ "Apache-2.0" ]

null

print("hello") while True: print("Infinite loop")

11

26

0.654545

7

55

5.142857

0.857143

0

0.181818

55

4

27

13.75

0.8

0

0.327273

0

1

0

true

0

0.666667

1

0

null

0

1

0

null

0

1

0

1

0

4

f0b1d2bc676f5219d5c50eeed54f3ef0c2068b76

243

py

Python

contrib/enginedesign/openmdao.examples.enginedesign/openmdao/examples/enginedesign/releaseinfo.py

mjfwest/OpenMDAO-Framework

a5521f47ad7686c25b203de74e1c7dff5fd7a52b

[ "Apache-2.0" ]

69

2015-01-02T19:10:08.000Z

2021-11-14T04:42:28.000Z

contrib/enginedesign/openmdao.examples.enginedesign/openmdao/examples/enginedesign/releaseinfo.py

jcchin/OpenMDAO-Framework

038e89b06da1c74f00918f4c6fbd8bd365e25657

[ "Apache-2.0" ]

3

2015-01-15T23:08:18.000Z

2015-03-11T16:57:35.000Z

contrib/enginedesign/openmdao.examples.enginedesign/openmdao/examples/enginedesign/releaseinfo.py

jcchin/OpenMDAO-Framework

038e89b06da1c74f00918f4c6fbd8bd365e25657

[ "Apache-2.0" ]

31

2015-09-16T00:37:35.000Z

2022-01-10T06:27:55.000Z

# This file is automatically generated __version__ = '0.10.3.2' __comments__ = """too many spaces :/ Merge pull request #1848 from swryan/work""" __date__ = '2014-11-15 09:50:34 -0500' __commit__ = '97c66aaecfad3451bc6a0b1cae1fce4c0595037a'

27

55

0.753086

31

243

5.387097

1

0

0.221698

0.127572

243

8

56

30.375

0.566038

0.148148

0

1

0

0.651961

0.196078

0

1

0

false

0

null

0

1

0

1

0

1

0

1

0

null

0

4

f0d117c241c9bb2cd6a66d2e35612733475a8a0e

437

py

Python

saefportal/datalakes/models/__init__.py

harry-consulting/SAEF1

055d6e492ba76f90e3248b9da2985fdfe0c6b430

[ "BSD-2-Clause" ]

null

saefportal/datalakes/models/__init__.py

harry-consulting/SAEF1

055d6e492ba76f90e3248b9da2985fdfe0c6b430

[ "BSD-2-Clause" ]

null

saefportal/datalakes/models/__init__.py

harry-consulting/SAEF1

055d6e492ba76f90e3248b9da2985fdfe0c6b430

[ "BSD-2-Clause" ]

1

2020-12-16T15:02:52.000Z

from .one_drive_datalake import OneDriveDatalake from .google_drive_datalake import GoogleDriveDatalake from .dropbox_datalake import DropboxDatalake from .google_cloud_storage_datalake import GoogleCloudStorageDatalake from .azure_blob_storage_datalake import AzureBlobStorageDatalake from .azure_data_lake_datalake import AzureDataLakeDatalake from .amazon_s3_datalake import AmazonS3Datalake from .local_datalake import LocalDatalake

48.555556

69

0.908467

49

437

7.755102

0.489796

0.294737

0.1

0

0.004938

0.073227

437

8

70

54.625

0.933333

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

4

f0db8dc49a5a35a6b18b47a43dda531b71b817b6

534

py

Python

open_spiel/python/examples/test.py

ThorvaldAagaard/open_spiel

58f6584b555b1a1a83bf674f0cbe0162c1251eca

[ "Apache-2.0" ]

null

open_spiel/python/examples/test.py

ThorvaldAagaard/open_spiel

58f6584b555b1a1a83bf674f0cbe0162c1251eca

[ "Apache-2.0" ]

null

open_spiel/python/examples/test.py

ThorvaldAagaard/open_spiel

58f6584b555b1a1a83bf674f0cbe0162c1251eca

[ "Apache-2.0" ]

null

import pyspiel game = pyspiel.load_game('bridge(use_double_dummy_result=false)') line = '30 32 10 35 50 45 21 7 1 42 39 43 0 16 40 20 36 15 22 44 26 6 4 51 47 46 25 14 29 5 34 11 49 31 37 9 41 13 24 8 28 17 48 23 33 18 3 19 38 2 27 12 56 57 52 63 52 52 52 0 32 48 8 3 51 47 15 44 28 16 4 14 50 2 10 49 5 37 9 36 31 24 20 46 22 12 26 13 25 19 1 43 41 17 27 7 33 45 39 40 23 29 6 11 30 18 21 35 38 42 34' actions = (int(x) for x in line.split(' ')) state = game.new_initial_state() for a in actions: state.apply_action(a) print(state)

59.333333

321

0.685393

147

534

2.442177

0.544218

0.022284

0

0.507538

0.254682

534

8

322

66.75

0.394472

0

0.142857

0.655431

0.069288

0

1

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false

0

0.142857

0

0.142857

0

null

0

1

0

1

0

1

0

1

0

null

0

4

0b10cab889db1a04677f05bcfb228ad6218dea84

9,537

py

Python

qinling/tests/unit/api/controllers/v1/test_webhook.py

goldyfruit/qinling

7e1391056cc90c274f063ea25b59bb138fdfef94

[ "Apache-2.0" ]

null

qinling/tests/unit/api/controllers/v1/test_webhook.py

goldyfruit/qinling

7e1391056cc90c274f063ea25b59bb138fdfef94

[ "Apache-2.0" ]

null

qinling/tests/unit/api/controllers/v1/test_webhook.py

goldyfruit/qinling

7e1391056cc90c274f063ea25b59bb138fdfef94

[ "Apache-2.0" ]

null

# Copyright 2018 Catalyst IT Limited # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import json import mock from qinling import context from qinling.db import api as db_api from qinling.tests.unit.api import base from qinling.utils import constants class TestWebhookController(base.APITest): def setUp(self): super(TestWebhookController, self).setUp() db_func = self.create_function() self.func_id = db_func.id def test_crud(self): # Create body = { 'function_id': self.func_id, 'description': 'webhook test' } resp = self.app.post_json('/v1/webhooks', body) self.assertEqual(201, resp.status_int) webhook_id = resp.json.get('id') self.assertIn(self.qinling_endpoint, resp.json.get('webhook_url')) # Get resp = self.app.get('/v1/webhooks/%s' % webhook_id) self.assertEqual(200, resp.status_int) self._assertDictContainsSubset(resp.json, body) # List resp = self.app.get('/v1/webhooks') self.assertEqual(200, resp.status_int) actual = self._assert_single_item( resp.json['webhooks'], id=webhook_id ) self._assertDictContainsSubset(actual, body) # Update resp = self.app.put_json( '/v1/webhooks/%s' % webhook_id, {'description': 'webhook test update'} ) self.assertEqual(200, resp.status_int) expected = { 'function_id': self.func_id, 'description': 'webhook test update' } resp = self.app.get('/v1/webhooks/%s' % webhook_id) self.assertEqual(200, resp.status_int) self._assertDictContainsSubset(resp.json, expected) # Delete resp = self.app.delete('/v1/webhooks/%s' % webhook_id) self.assertEqual(204, resp.status_int) resp = self.app.get('/v1/webhooks/%s' % webhook_id, expect_errors=True) self.assertEqual(404, resp.status_int) def test_create_with_version(self): db_api.increase_function_version(self.func_id, 0) body = { 'function_id': self.func_id, 'function_version': 1, 'description': 'webhook test' } resp = self.app.post_json('/v1/webhooks', body) self.assertEqual(201, resp.status_int) self.assertEqual(1, resp.json.get("function_version")) self.assertIsNone(resp.json.get("function_alias")) def test_create_with_alias(self): db_api.increase_function_version(self.func_id, 0) name = self.rand_name(name="alias", prefix=self.prefix) body = { 'function_id': self.func_id, 'function_version': 1, 'name': name } db_api.create_function_alias(**body) webhook_body = { 'function_alias': name, 'description': 'webhook test' } resp = self.app.post_json('/v1/webhooks', webhook_body) self.assertEqual(201, resp.status_int) self.assertEqual(name, resp.json.get('function_alias')) self.assertIsNone(resp.json.get("function_id")) self.assertIsNone(resp.json.get("function_version")) def test_create_with_invalid_alias(self): body = { 'function_alias': 'fake_alias', 'description': 'webhook test' } resp = self.app.post_json('/v1/webhooks', body, expect_errors=True) self.assertEqual(404, resp.status_int) def test_create_without_required_params(self): resp = self.app.post( '/v1/webhooks', params={}, expect_errors=True ) self.assertEqual(400, resp.status_int) def test_update_with_version(self): db_api.increase_function_version(self.func_id, 0) webhook = self.create_webhook(self.func_id) self.assertIsNone(webhook.function_version) resp = self.app.put_json( '/v1/webhooks/%s' % webhook.id, {'function_version': 1} ) self.assertEqual(200, resp.status_int) self.assertEqual(1, resp.json.get("function_version")) self.assertIsNone(resp.json.get("function_alias")) def test_update_only_description(self): db_api.increase_function_version(self.func_id, 0) webhook = self.create_webhook(self.func_id, function_version=1) self.assertEqual(1, webhook.function_version) resp = self.app.put_json( '/v1/webhooks/%s' % webhook.id, {'description': 'updated description'} ) self.assertEqual(200, resp.status_int) self.assertEqual(1, resp.json.get("function_version")) self.assertEqual('updated description', resp.json.get("description")) def test_update_function_alias_1(self): # Create webhook using function alias db_api.increase_function_version(self.func_id, 0) name = self.rand_name(name="alias", prefix=self.prefix) body = { 'function_id': self.func_id, 'function_version': 1, 'name': name } db_api.create_function_alias(**body) webhook = self.create_webhook(function_alias=name) db_api.increase_function_version(self.func_id, 1) new_name = self.rand_name(name="alias", prefix=self.prefix) body = { 'function_id': self.func_id, 'function_version': 2, 'name': new_name } db_api.create_function_alias(**body) # Update webhook with the new alias resp = self.app.put_json( '/v1/webhooks/%s' % webhook.id, {'function_alias': new_name} ) self.assertEqual(200, resp.status_int) self.assertEqual(new_name, resp.json.get("function_alias")) self.assertIsNone(resp.json.get("function_id")) self.assertIsNone(resp.json.get("function_version")) def test_update_function_alias_2(self): # Create webhook using function id db_api.increase_function_version(self.func_id, 0) webhook = self.create_webhook(function_id=self.func_id, function_version=1) db_api.increase_function_version(self.func_id, 1) alias_name = self.rand_name(name="alias", prefix=self.prefix) body = { 'function_id': self.func_id, 'function_version': 2, 'name': alias_name } db_api.create_function_alias(**body) # Update webhook with function alias resp = self.app.put_json( '/v1/webhooks/%s' % webhook.id, {'function_alias': alias_name} ) self.assertEqual(200, resp.status_int) self.assertEqual(alias_name, resp.json.get("function_alias")) self.assertIsNone(resp.json.get("function_id")) self.assertIsNone(resp.json.get("function_version")) @mock.patch("qinling.utils.openstack.keystone.create_trust_context") @mock.patch("qinling.utils.executions.create_execution") def test_invoke_with_function_id(self, mock_create_execution, mock_create_context): exec_mock = mock_create_execution.return_value exec_mock.id = "fake_id" webhook = self.create_webhook(function_id=self.func_id) resp = self.app.post_json('/v1/webhooks/%s/invoke' % webhook.id, {}) context.set_ctx(self.ctx) self.assertEqual(202, resp.status_int) params = { 'function_id': self.func_id, 'function_version': None, 'sync': False, 'input': json.dumps({}), 'description': constants.EXECUTION_BY_WEBHOOK % webhook.id } mock_create_execution.assert_called_once_with(mock.ANY, params) @mock.patch("qinling.utils.openstack.keystone.create_trust_context") @mock.patch("qinling.utils.executions.create_execution") def test_invoke_with_function_alias(self, mock_create_execution, mock_create_context): exec_mock = mock_create_execution.return_value exec_mock.id = "fake_id" db_api.increase_function_version(self.func_id, 0) alias_name = self.rand_name(name="alias", prefix=self.prefix) body = { 'function_id': self.func_id, 'function_version': 1, 'name': alias_name } db_api.create_function_alias(**body) webhook = self.create_webhook(function_alias=alias_name) resp = self.app.post_json('/v1/webhooks/%s/invoke' % webhook.id, {}) context.set_ctx(self.ctx) self.assertEqual(202, resp.status_int) params = { 'function_id': self.func_id, 'function_version': 1, 'sync': False, 'input': json.dumps({}), 'description': constants.EXECUTION_BY_WEBHOOK % webhook.id } mock_create_execution.assert_called_once_with(mock.ANY, params)

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py

Python

src/waldur_openstack/openstack/__init__.py

geant-multicloud/MCMS-mastermind

81333180f5e56a0bc88d7dad448505448e01f24e

[ "MIT" ]

26

2017-10-18T13:49:58.000Z

2021-09-19T04:44:09.000Z

src/waldur_openstack/openstack/__init__.py

geant-multicloud/MCMS-mastermind

81333180f5e56a0bc88d7dad448505448e01f24e

[ "MIT" ]

14

2018-12-10T14:14:51.000Z

2021-06-07T10:33:39.000Z

src/waldur_openstack/openstack/__init__.py

geant-multicloud/MCMS-mastermind

81333180f5e56a0bc88d7dad448505448e01f24e

[ "MIT" ]

32

2017-09-24T03:10:45.000Z

2021-10-16T16:41:09.000Z

default_app_config = 'waldur_openstack.openstack.apps.OpenStackConfig'

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null

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9beffefe216348049fb0a4b50410d3ac25cedf08

176

py

Python

minigame/button.py

AndrewCarterUK/MiniGame

6d699c045e84ee3834f23eb0483245195438eff7

[ "MIT" ]

null

minigame/button.py

AndrewCarterUK/MiniGame

6d699c045e84ee3834f23eb0483245195438eff7

[ "MIT" ]

null

minigame/button.py

AndrewCarterUK/MiniGame

6d699c045e84ee3834f23eb0483245195438eff7

[ "MIT" ]

null

import abc class Button(abc.ABC): @abc.abstractmethod def register_callback(self, callabck): pass @abc.abstractmethod def pressed(self): pass

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null

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1

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9bfeed4ac7968ce26851e608ac8b9ee8b625a069

961

py

Python

network/__init__.py

nivilo/Chase

921e4b0bf2ca2cbd1a315156287f2af0e8a19c6c

[ "MIT" ]

68

2018-07-23T03:49:17.000Z

2022-01-11T04:56:32.000Z

network/__init__.py

mpalaiokostas/Chase

921e4b0bf2ca2cbd1a315156287f2af0e8a19c6c

[ "MIT" ]

null

network/__init__.py

mpalaiokostas/Chase

921e4b0bf2ca2cbd1a315156287f2af0e8a19c6c

[ "MIT" ]

30

2018-07-24T20:35:20.000Z

2021-11-23T00:56:07.000Z

import abc from config import MODEL_DIR class Network: __metaclass__ = abc.ABCMeta @abc.abstractmethod def __init__(self): self.model = None self.model_history = None self.X_train = None self.X_test = None self.y_train = None self.y_test = None @abc.abstractmethod def set_train_test_split(self): pass @abc.abstractmethod def build_model(self): pass @abc.abstractmethod def train_model(self): pass @abc.abstractmethod def forecast_model(self, start_datetime, end_datetime, freq): pass @abc.abstractmethod def visualize_output(self): pass def evaluate_model(self): return self.model.evaluate(self.X_test, self.y_test) def save_model(self, filename): self.model.save_weights(MODEL_DIR + filename) def load_model(self, filename): self.model.load_weights(MODEL_DIR + filename)

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null

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4

500def4cbc4626bb2afe20baf06a6df2008bf456

509

py

Python

spec/python/test_cast_nested.py

DarkShadow44/kaitai_struct_tests

4bb13cef82965cca66dda2eb2b77cd64e9f70a12

[ "MIT" ]

11

2018-04-01T03:58:15.000Z

2021-08-14T09:04:55.000Z

spec/python/test_cast_nested.py

DarkShadow44/kaitai_struct_tests

4bb13cef82965cca66dda2eb2b77cd64e9f70a12

[ "MIT" ]

73

2016-07-20T10:27:15.000Z

2020-12-17T18:56:46.000Z

spec/python/test_cast_nested.py

DarkShadow44/kaitai_struct_tests

4bb13cef82965cca66dda2eb2b77cd64e9f70a12

[ "MIT" ]

37

2016-08-15T08:25:56.000Z

2021-08-28T14:48:46.000Z

# Autogenerated from KST: please remove this line if doing any edits by hand! import unittest from cast_nested import CastNested class TestCastNested(unittest.TestCase): def test_cast_nested(self): with CastNested.from_file('src/switch_opcodes.bin') as r: self.assertEqual(r.opcodes_0_str.value, u"foobar") self.assertEqual(r.opcodes_0_str_value, u"foobar") self.assertEqual(r.opcodes_1_int.value, 66) self.assertEqual(r.opcodes_1_int_value, 66)

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5028c313079fad9b4cf51c75e556c2cffcedcdc1

298

py

Python

examples/mach_opt_examples/LegacyCode/IM/machine_design/im_settingshandler.py

Severson-Group/MachEval

dbb7999188133f8744636da53cab475ae538ce80

[ "BSD-3-Clause" ]

6

2021-11-02T20:12:32.000Z

2021-11-13T10:50:35.000Z

examples/mach_opt_examples/LegacyCode/IM/machine_design/im_settingshandler.py

Severson-Group/MachEval

dbb7999188133f8744636da53cab475ae538ce80

[ "BSD-3-Clause" ]

18

2021-11-29T20:14:55.000Z

2022-03-02T07:17:37.000Z

examples/mach_opt_examples/LegacyCode/IM/machine_design/im_settingshandler.py

Severson-Group/MachEval

dbb7999188133f8744636da53cab475ae538ce80

[ "BSD-3-Clause" ]

1

2022-01-29T00:52:38.000Z

# -*- coding: utf-8 -*- """ Created on Fri Apr 30 11:58:20 2021 @author: Martin Johnson """ import sys sys.path.append("...") import macheval as me class IMSettingsHandler(me.SettingsHandler): def getSettings(x): return NotImplementedError #TODO Implement settings functionality

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504917355b6cf7fd121b21c62bef31888fe9fbc3

29

py

Python

deploy/__init__.py

gaocegege/treadmill

04325d319c0ee912c066f07b88b674e84485f154

[ "Apache-2.0" ]

2

2017-03-20T07:13:33.000Z

2017-05-03T03:39:53.000Z

deploy/__init__.py

gaocegege/treadmill

04325d319c0ee912c066f07b88b674e84485f154

[ "Apache-2.0" ]

12

2017-07-10T07:04:06.000Z

2017-07-26T09:32:54.000Z

deploy/__init__.py

gaocegege/treadmill

04325d319c0ee912c066f07b88b674e84485f154

[ "Apache-2.0" ]

2

2017-05-04T11:25:32.000Z

2017-07-11T09:10:01.000Z

"""Ansible playbooks init"""

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acc1ce36377278a085395e3d7d5f5eee13f3cf3a

169

py

Python

sexyhotel/venv/Scripts/django-admin.py

JesseChanCN/sexyHotel

b0e2362073fe6fa5bd551f96a9a45f1e26f3d353

[ "BSD-2-Clause" ]

null

sexyhotel/venv/Scripts/django-admin.py

JesseChanCN/sexyHotel

b0e2362073fe6fa5bd551f96a9a45f1e26f3d353

[ "BSD-2-Clause" ]

1

2021-10-02T22:17:39.000Z

sexyhotel/venv/Scripts/django-admin.py

JesseChanCN/sexyHotel

b0e2362073fe6fa5bd551f96a9a45f1e26f3d353

[ "BSD-2-Clause" ]

4

2018-11-26T03:59:52.000Z

2018-11-26T08:30:54.000Z

#!C:\Users\Administrator\Desktop\装饰器代码\venv\Scripts\python.exe from django.core import management if __name__ == "__main__": management.execute_from_command_line()

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4

acf541af1bb3ebd0a182c3839d64f9ce9a19e679

903

py

Python

ParadoxTrading/EngineExt/Futures/__init__.py

yutiansut/ParadoxTrading

b915d1491663443bedbb048017abeed3f7dcd4e2

[ "MIT" ]

2

2018-01-25T08:33:59.000Z

2018-05-14T13:59:54.000Z

ParadoxTrading/EngineExt/Futures/__init__.py

yutiansut/ParadoxTrading

b915d1491663443bedbb048017abeed3f7dcd4e2

[ "MIT" ]

null

ParadoxTrading/EngineExt/Futures/__init__.py

yutiansut/ParadoxTrading

b915d1491663443bedbb048017abeed3f7dcd4e2

[ "MIT" ]

null

from .Arbitrage import ArbitrageEqualFundSimplePortfolio, \ ArbitrageEqualFundVolatilityPortfolio, ArbitrageStrategy from .BacktestEngine import BacktestEngine from .BacktestMarketSupply import BacktestMarketSupply from .BarBacktestExecution import BarBacktestExecution from .BarPortfolio import BarPortfolio from .InterDayBacktestExecution import InterDayBacktestExecution from .InterDayOnlineEngine import InterDayOnlineEngine from .InterDayOnlineExecution import InterDayOnlineExecution from .InterDayOnlineMarketSupply import InterDayOnlineMarketSupply from .InterDayPortfolio import InterDayPortfolio from .TickBacktestExecution import TickBacktestExecution from .TickPortfolio import TickPortfolio from .Trend import CTAEqualFundPortfolio, CTAEqualRiskATRPortfolio, \ CTAEqualRiskRatePortfolio, CTAEqualRiskVolatilityPortfolio, \ CTAStatusType, CTAStrategy, CTAEqualRiskGARCHPortfolio

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4a188b12918e6b0e9f8e6f9cc1f7a056cc5daf48

42

py

Python

pymkup/__init__.py

psolin/pymkup

5f2e5787f3150e10b9c6391c805b02be7496cdc1

[ "MIT" ]

7

2021-04-17T11:35:00.000Z

2021-12-30T04:05:27.000Z

pymkup/__init__.py

psolin/pymkup

5f2e5787f3150e10b9c6391c805b02be7496cdc1

[ "MIT" ]

23

2021-04-15T18:01:44.000Z

2021-05-21T15:58:59.000Z

pymkup/__init__.py

psolin/pymkup

5f2e5787f3150e10b9c6391c805b02be7496cdc1

[ "MIT" ]

2

2021-04-20T18:09:46.000Z

2021-04-24T13:04:04.000Z

from .pymkup import * __version__ = '0.1'

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null

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4

4a26cd7230b52b52759159c2aeac729e2261aebf

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py

Python

tohu/v4/set_special_methods.py

maxalbert/tohu

3adf0c58b13ef1e1d716d7d613484d2adc58fb60

[ "MIT" ]

1

2019-03-07T19:58:45.000Z

tohu/v4/set_special_methods.py

maxalbert/tohu

3adf0c58b13ef1e1d716d7d613484d2adc58fb60

[ "MIT" ]

9

2017-10-04T15:08:53.000Z

2021-02-02T21:51:41.000Z

tohu/v4/set_special_methods.py

maxalbert/tohu

3adf0c58b13ef1e1d716d7d613484d2adc58fb60

[ "MIT" ]

null

""" This module is not meant to be imported directly. Its purpose is to patch the TohuBaseGenerator class so that its special methods __add__, __mul__ etc. support other generators as arguments. """ from operator import add, mul, gt, ge, lt, le, eq from .base import TohuBaseGenerator from .primitive_generators import GeoJSONGeolocation, SelectOnePrimitive, Timestamp, as_tohu_generator from .derived_generators import Apply, GetAttribute, SelectOneDerived from .utils import identity __all__ = [] def add_generators(self, other): return Apply(add, self, as_tohu_generator(other)) def radd_generators(self, other): return Apply(add, as_tohu_generator(other), self) def mul_generators(self, other): return Apply(mul, self, as_tohu_generator(other)) def rmul_generators(self, other): return Apply(mul, as_tohu_generator(other), self) def eq_generators(self, other): return Apply(eq, self, as_tohu_generator(other)) def lt_generators(self, other): return Apply(lt, self, as_tohu_generator(other)) def le_generators(self, other): return Apply(le, self, as_tohu_generator(other)) def gt_generators(self, other): return Apply(gt, self, as_tohu_generator(other)) def ge_generators(self, other): return Apply(ge, self, as_tohu_generator(other)) # Patch TohuBaseGenerator with the new methods TohuBaseGenerator.__add__ = add_generators TohuBaseGenerator.__radd__ = radd_generators TohuBaseGenerator.__mul__ = mul_generators TohuBaseGenerator.__rmul__ = rmul_generators TohuBaseGenerator.__eq__ = eq_generators TohuBaseGenerator.__lt__ = lt_generators TohuBaseGenerator.__le__ = le_generators TohuBaseGenerator.__gt__ = gt_generators TohuBaseGenerator.__ge__ = ge_generators def getattribute_generators(self, name): if name == '__isabstractmethod__': # Special case which is needed because TohuUltraBaseMeta is # derived from ABCMeta and it uses '__isabstractmethod__' # to check for abstract methods. # # TODO: This check should probably be moved to TohuUltraBaseGenerator somewhere. return if name == '_ipython_canary_method_should_not_exist_': # Special case which is needed because IPython uses this attribute internally. raise NotImplementedError("Special case needed for IPython") return GetAttribute(self, name) SelectOnePrimitive.__getattr__ = getattribute_generators SelectOneDerived.__getattr__ = getattribute_generators def split_geolocation(self): attributes = ['lon', 'lat'] + self.include_attributes return tuple(GetAttribute(self, attr_name) for attr_name in attributes) GeoJSONGeolocation.split = split_geolocation

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c5864362375a81a891800b2885457459c5fea69d

85

py

Python

src/dal_select2/__init__.py

pandabuilder/django-autocomplete-light

41f699aadaa6214acd5d947b717394b1237a7223

[ "MIT" ]

null

src/dal_select2/__init__.py

pandabuilder/django-autocomplete-light

41f699aadaa6214acd5d947b717394b1237a7223

[ "MIT" ]

null

src/dal_select2/__init__.py

pandabuilder/django-autocomplete-light

41f699aadaa6214acd5d947b717394b1237a7223

[ "MIT" ]

null

"""Select2 support for DAL.""" # default_app_config = 'dal_select2.apps.DefaultApp'

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c5b2728e8814b93e58ee5c076b847c4197704dea

903

py

Python

schafkopf/utils/settings_utils.py

PanchoVarallo/Schafkopf-Application

98e58f69cadfeb63c13068320df1e8ea96cd91fe

[ "MIT" ]

1

2022-01-19T23:58:03.000Z

schafkopf/utils/settings_utils.py

PanchoVarallo/Schafkopf-Application

98e58f69cadfeb63c13068320df1e8ea96cd91fe

[ "MIT" ]

7

2020-12-02T19:02:51.000Z

2020-12-04T11:01:29.000Z

schafkopf/utils/settings_utils.py

PanchoVarallo/Schafkopf-Application

98e58f69cadfeb63c13068320df1e8ea96cd91fe

[ "MIT" ]

null

import configparser import enum ini = 'settings.ini' class Database(enum.Enum): SQLITE = 1 POSTGRES = 2 def get_db() -> Database: return Database[get_entry('Database', 'db')] def get_database_url() -> str: return get_entry('Database', 'database_url') def get_init_username() -> str: return get_entry('Auth', 'username') def get_init_password() -> str: return get_entry('Auth', 'password') def get_entry(section: str, entry: str) -> str: config = _get_settings_ini_config() if section not in config: raise ValueError(f'Ini is not valid. "{section}" section is missing.') if entry not in config[section]: raise ValueError(f'Ini is not valid. {entry} entry for section {section} is missing.') return config[section][entry] def _get_settings_ini_config(): config = configparser.ConfigParser() config.read(ini) return config

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c5ce058c2bdc9823f2137dda32497aab8ba53bf6

24,607

py

Python

gluoncv/model_zoo/action_recognition/r2plus1d.py

AND2797/gluon-cv

7d2d9c2502f18cbdc19c0921982baf511272acb1

[ "Apache-2.0" ]

1

2020-03-12T14:43:42.000Z

gluoncv/model_zoo/action_recognition/r2plus1d.py

AND2797/gluon-cv

7d2d9c2502f18cbdc19c0921982baf511272acb1

[ "Apache-2.0" ]

null

gluoncv/model_zoo/action_recognition/r2plus1d.py

AND2797/gluon-cv

7d2d9c2502f18cbdc19c0921982baf511272acb1

[ "Apache-2.0" ]

null

# pylint: disable=arguments-differ,unused-argument,line-too-long """R2Plus1D, implemented in Gluon. https://arxiv.org/abs/1711.11248. Code partially borrowed from https://github.com/pytorch/vision/blob/master/torchvision/models/video/resnet.py.""" __all__ = ['R2Plus1D', 'r2plus1d_resnet18_kinetics400', 'r2plus1d_resnet34_kinetics400', 'r2plus1d_resnet50_kinetics400', 'r2plus1d_resnet101_kinetics400', 'r2plus1d_resnet152_kinetics400'] from mxnet import init from mxnet.context import cpu from mxnet.gluon.block import HybridBlock from mxnet.gluon import nn from mxnet.gluon.nn import BatchNorm def conv3x1x1(in_planes, out_planes, spatial_stride=1, temporal_stride=1, dilation=1): """3x1x1 convolution with padding""" return nn.Conv3D(in_channels=in_planes, channels=out_planes, kernel_size=(3, 1, 1), strides=(temporal_stride, spatial_stride, spatial_stride), padding=(dilation, 0, 0), dilation=dilation, use_bias=False) class Conv2Plus1D(HybridBlock): r"""Building block of Conv2Plus1D Parameters ---------- inplanes : int. Input channels of each block. planes : int. Output channels of each block. midplanes : int. Intermediate channels of each block. stride : int, default is 1. Stride in each dimension of 3D convolutional layers in a block. padding : int, default is 1. Padding in each dimension of the feature map. norm_layer : object Normalization layer used (default: :class:`mxnet.gluon.nn.BatchNorm`) Can be :class:`mxnet.gluon.nn.BatchNorm` or :class:`mxnet.gluon.contrib.nn.SyncBatchNorm`. norm_kwargs : dict Additional `norm_layer` arguments, for example `num_devices=4` for :class:`mxnet.gluon.contrib.nn.SyncBatchNorm`. """ def __init__(self, inplanes, planes, midplanes, stride=1, padding=1, norm_layer=BatchNorm, norm_kwargs=None, **kwargs): super(Conv2Plus1D, self).__init__() with self.name_scope(): self.conv1 = nn.Conv3D(in_channels=inplanes, channels=midplanes, kernel_size=(1, 3, 3), strides=(1, stride, stride), padding=(0, padding, padding), use_bias=False) self.bn1 = norm_layer(in_channels=midplanes, **({} if norm_kwargs is None else norm_kwargs)) self.relu = nn.Activation('relu') self.conv2 = nn.Conv3D(in_channels=midplanes, channels=planes, kernel_size=(3, 1, 1), strides=(stride, 1, 1), padding=(padding, 0, 0), use_bias=False) def hybrid_forward(self, F, x): """Hybrid forward of a Conv2Plus1D block.""" x = self.conv1(x) x = self.bn1(x) x = self.relu(x) x = self.conv2(x) return x class BasicBlock(HybridBlock): r"""ResNet Basic Block for R2Plus1D Parameters ---------- inplanes : int. Input channels of each block. planes : int. Output channels of each block. stride : int, default is 1. Stride in each dimension of 3D convolutional layers in a block. downsample : bool. Whether to contain a downsampling layer in the block. norm_layer : object Normalization layer used (default: :class:`mxnet.gluon.nn.BatchNorm`) Can be :class:`mxnet.gluon.nn.BatchNorm` or :class:`mxnet.gluon.contrib.nn.SyncBatchNorm`. norm_kwargs : dict Additional `norm_layer` arguments, for example `num_devices=4` for :class:`mxnet.gluon.contrib.nn.SyncBatchNorm`. layer_name : str, default is ''. Give a name to current block. """ expansion = 1 def __init__(self, inplanes, planes, stride=1, downsample=None, norm_layer=BatchNorm, norm_kwargs=None, layer_name='', **kwargs): super(BasicBlock, self).__init__() self.downsample = downsample with self.name_scope(): midplanes = (inplanes * planes * 3 * 3 * 3) // (inplanes * 3 * 3 + 3 * planes) self.conv1 = Conv2Plus1D(inplanes, planes, midplanes, stride) self.bn1 = norm_layer(in_channels=planes, **({} if norm_kwargs is None else norm_kwargs)) self.relu = nn.Activation('relu') self.conv2 = Conv2Plus1D(planes, planes, midplanes) self.bn2 = norm_layer(in_channels=planes, **({} if norm_kwargs is None else norm_kwargs)) def hybrid_forward(self, F, x): """Hybrid forward of a ResBlock in R2+1D.""" identity = x out = self.conv1(x) out = self.bn1(out) out = self.relu(out) out = self.conv2(out) out = self.bn2(out) if self.downsample is not None: identity = self.downsample(x) out = F.Activation(out + identity, act_type='relu') return out class Bottleneck(HybridBlock): r"""ResNet Bottleneck Block for R2Plus1D Parameters ---------- inplanes : int. Input channels of each block. planes : int. Output channels of each block. stride : int, default is 1. Stride in each dimension of 3D convolutional layers in a block. downsample : bool. Whether to contain a downsampling layer in the block. norm_layer : object Normalization layer used (default: :class:`mxnet.gluon.nn.BatchNorm`) Can be :class:`mxnet.gluon.nn.BatchNorm` or :class:`mxnet.gluon.contrib.nn.SyncBatchNorm`. norm_kwargs : dict Additional `norm_layer` arguments, for example `num_devices=4` for :class:`mxnet.gluon.contrib.nn.SyncBatchNorm`. layer_name : str, default is ''. Give a name to current block. """ expansion = 4 def __init__(self, inplanes, planes, stride=1, downsample=None, norm_layer=BatchNorm, norm_kwargs=None, layer_name='', **kwargs): super(Bottleneck, self).__init__() self.downsample = downsample with self.name_scope(): midplanes = (inplanes * planes * 3 * 3 * 3) // (inplanes * 3 * 3 + 3 * planes) # 1x1x1 self.conv1 = nn.Conv3D(in_channels=inplanes, channels=planes, kernel_size=1, use_bias=False) self.bn1 = norm_layer(in_channels=planes, **({} if norm_kwargs is None else norm_kwargs)) self.relu = nn.Activation('relu') # Second kernel self.conv2 = Conv2Plus1D(planes, planes, midplanes, stride) self.bn2 = norm_layer(in_channels=planes, **({} if norm_kwargs is None else norm_kwargs)) self.conv3 = nn.Conv3D(in_channels=planes, channels=planes * self.expansion, kernel_size=1, use_bias=False) self.bn3 = norm_layer(in_channels=planes * self.expansion, **({} if norm_kwargs is None else norm_kwargs)) def hybrid_forward(self, F, x): """Hybrid forward of a ResBlock in R2+1D.""" identity = x out = self.conv1(x) out = self.bn1(out) out = self.relu(out) out = self.conv2(out) out = self.bn2(out) out = self.relu(out) out = self.conv3(out) out = self.bn3(out) if self.downsample is not None: identity = self.downsample(x) out = F.Activation(out + identity, act_type='relu') return out class R2Plus1D(HybridBlock): r"""The R2+1D network. A Closer Look at Spatiotemporal Convolutions for Action Recognition. CVPR, 2018. https://arxiv.org/abs/1711.11248 Parameters ---------- nclass : int Number of classes in the training dataset. block : Block, default is `Bottleneck`. Class for the residual block. layers : list of int Numbers of layers in each block dropout_ratio : float, default is 0.5. The dropout rate of a dropout layer. The larger the value, the more strength to prevent overfitting. num_segments : int, default is 1. Number of segments used to evenly divide a video. num_crop : int, default is 1. Number of crops used during evaluation, choices are 1, 3 or 10. feat_ext : bool. Whether to extract features before dense classification layer or do a complete forward pass. init_std : float, default is 0.001. Standard deviation value when initialize the dense layers. ctx : Context, default CPU. The context in which to load the pretrained weights. partial_bn : bool, default False. Freeze all batch normalization layers during training except the first layer. norm_layer : object Normalization layer used (default: :class:`mxnet.gluon.nn.BatchNorm`) Can be :class:`mxnet.gluon.nn.BatchNorm` or :class:`mxnet.gluon.contrib.nn.SyncBatchNorm`. norm_kwargs : dict Additional `norm_layer` arguments, for example `num_devices=4` for :class:`mxnet.gluon.contrib.nn.SyncBatchNorm`. """ def __init__(self, nclass, block, layers, dropout_ratio=0.5, num_segments=1, num_crop=1, feat_ext=False, init_std=0.001, ctx=None, partial_bn=False, norm_layer=BatchNorm, norm_kwargs=None, **kwargs): super(R2Plus1D, self).__init__() self.partial_bn = partial_bn self.dropout_ratio = dropout_ratio self.init_std = init_std self.num_segments = num_segments self.num_crop = num_crop self.feat_ext = feat_ext self.inplanes = 64 self.feat_dim = 512 * block.expansion with self.name_scope(): self.conv1 = nn.Conv3D(in_channels=3, channels=45, kernel_size=(1, 7, 7), strides=(1, 2, 2), padding=(0, 3, 3), use_bias=False) self.bn1 = norm_layer(in_channels=45, **({} if norm_kwargs is None else norm_kwargs)) self.relu = nn.Activation('relu') self.conv2 = conv3x1x1(in_planes=45, out_planes=64) self.bn2 = norm_layer(in_channels=64, **({} if norm_kwargs is None else norm_kwargs)) if self.partial_bn: if norm_kwargs is not None: norm_kwargs['use_global_stats'] = True else: norm_kwargs = {} norm_kwargs['use_global_stats'] = True self.layer1 = self._make_res_layer(block=block, planes=64 * block.expansion, blocks=layers[0], layer_name='layer1_') self.layer2 = self._make_res_layer(block=block, planes=128 * block.expansion, blocks=layers[1], stride=2, layer_name='layer2_') self.layer3 = self._make_res_layer(block=block, planes=256 * block.expansion, blocks=layers[2], stride=2, layer_name='layer3_') self.layer4 = self._make_res_layer(block=block, planes=512 * block.expansion, blocks=layers[3], stride=2, layer_name='layer4_') self.avgpool = nn.GlobalAvgPool3D() self.dropout = nn.Dropout(rate=self.dropout_ratio) self.fc = nn.Dense(in_units=self.feat_dim, units=nclass, weight_initializer=init.Normal(sigma=self.init_std)) def hybrid_forward(self, F, x): """Hybrid forward of R2+1D net""" x = self.conv1(x) x = self.bn1(x) x = self.relu(x) x = self.conv2(x) x = self.bn2(x) x = self.relu(x) x = self.layer1(x) x = self.layer2(x) x = self.layer3(x) x = self.layer4(x) x = self.avgpool(x) x = F.squeeze(x, axis=(2, 3, 4)) # segmental consensus x = F.reshape(x, shape=(-1, self.num_segments * self.num_crop, self.feat_dim)) x = F.mean(x, axis=1) if self.feat_ext: return x x = self.fc(self.dropout(x)) return x def _make_res_layer(self, block, planes, blocks, stride=1, norm_layer=BatchNorm, norm_kwargs=None, layer_name=''): """Build each stage of a ResNet""" downsample = None if stride != 1 or self.inplanes != planes * block.expansion: downsample = nn.HybridSequential(prefix=layer_name + 'downsample_') with downsample.name_scope(): downsample.add(nn.Conv3D(in_channels=self.inplanes, channels=planes * block.expansion, kernel_size=1, strides=(stride, stride, stride), use_bias=False)) downsample.add(norm_layer(in_channels=planes * block.expansion, **({} if norm_kwargs is None else norm_kwargs))) layers = nn.HybridSequential(prefix=layer_name) with layers.name_scope(): layers.add(block(inplanes=self.inplanes, planes=planes, stride=stride, downsample=downsample)) self.inplanes = planes * block.expansion for _ in range(1, blocks): layers.add(block(inplanes=self.inplanes, planes=planes)) return layers def r2plus1d_resnet18_kinetics400(nclass=400, pretrained=False, pretrained_base=True, root='~/.mxnet/models', num_segments=1, num_crop=1, feat_ext=False, ctx=cpu(), **kwargs): r"""R2Plus1D with ResNet18 backbone trained on Kinetics400 dataset. Parameters ---------- nclass : int. Number of categories in the dataset. pretrained : bool or str. Boolean value controls whether to load the default pretrained weights for model. String value represents the hashtag for a certain version of pretrained weights. pretrained_base : bool or str, optional, default is True. Load pretrained base network, the extra layers are randomized. Note that if pretrained is `True`, this has no effect. ctx : Context, default CPU. The context in which to load the pretrained weights. root : str, default $MXNET_HOME/models Location for keeping the model parameters. num_segments : int, default is 1. Number of segments used to evenly divide a video. num_crop : int, default is 1. Number of crops used during evaluation, choices are 1, 3 or 10. feat_ext : bool. Whether to extract features before dense classification layer or do a complete forward pass. """ model = R2Plus1D(nclass=nclass, block=BasicBlock, layers=[2, 2, 2, 2], ctx=ctx, **kwargs) model.initialize(init.MSRAPrelu(), ctx=ctx) if pretrained: from ..model_store import get_model_file model.load_parameters(get_model_file('r2plus1d_resnet18_kinetics400', tag=pretrained, root=root), ctx=ctx) from ...data import Kinetics400Attr attrib = Kinetics400Attr() model.classes = attrib.classes model.collect_params().reset_ctx(ctx) return model def r2plus1d_resnet34_kinetics400(nclass=400, pretrained=False, pretrained_base=True, root='~/.mxnet/models', num_segments=1, num_crop=1, feat_ext=False, ctx=cpu(), **kwargs): r"""R2Plus1D with ResNet34 backbone trained on Kinetics400 dataset. Parameters ---------- nclass : int. Number of categories in the dataset. pretrained : bool or str. Boolean value controls whether to load the default pretrained weights for model. String value represents the hashtag for a certain version of pretrained weights. pretrained_base : bool or str, optional, default is True. Load pretrained base network, the extra layers are randomized. Note that if pretrained is `True`, this has no effect. ctx : Context, default CPU. The context in which to load the pretrained weights. root : str, default $MXNET_HOME/models Location for keeping the model parameters. num_segments : int, default is 1. Number of segments used to evenly divide a video. num_crop : int, default is 1. Number of crops used during evaluation, choices are 1, 3 or 10. feat_ext : bool. Whether to extract features before dense classification layer or do a complete forward pass. """ model = R2Plus1D(nclass=nclass, block=BasicBlock, layers=[3, 4, 6, 3], ctx=ctx, **kwargs) model.initialize(init.MSRAPrelu(), ctx=ctx) if pretrained: from ..model_store import get_model_file model.load_parameters(get_model_file('r2plus1d_resnet34_kinetics400', tag=pretrained, root=root), ctx=ctx) from ...data import Kinetics400Attr attrib = Kinetics400Attr() model.classes = attrib.classes model.collect_params().reset_ctx(ctx) return model def r2plus1d_resnet50_kinetics400(nclass=400, pretrained=False, pretrained_base=True, root='~/.mxnet/models', num_segments=1, num_crop=1, feat_ext=False, ctx=cpu(), **kwargs): r"""R2Plus1D with ResNet50 backbone trained on Kinetics400 dataset. Parameters ---------- nclass : int. Number of categories in the dataset. pretrained : bool or str. Boolean value controls whether to load the default pretrained weights for model. String value represents the hashtag for a certain version of pretrained weights. pretrained_base : bool or str, optional, default is True. Load pretrained base network, the extra layers are randomized. Note that if pretrained is `True`, this has no effect. ctx : Context, default CPU. The context in which to load the pretrained weights. root : str, default $MXNET_HOME/models Location for keeping the model parameters. num_segments : int, default is 1. Number of segments used to evenly divide a video. num_crop : int, default is 1. Number of crops used during evaluation, choices are 1, 3 or 10. feat_ext : bool. Whether to extract features before dense classification layer or do a complete forward pass. """ model = R2Plus1D(nclass=nclass, block=Bottleneck, layers=[3, 4, 6, 3], ctx=ctx, **kwargs) model.initialize(init.MSRAPrelu(), ctx=ctx) if pretrained: from ..model_store import get_model_file model.load_parameters(get_model_file('r2plus1d_resnet50_kinetics400', tag=pretrained, root=root), ctx=ctx) from ...data import Kinetics400Attr attrib = Kinetics400Attr() model.classes = attrib.classes model.collect_params().reset_ctx(ctx) return model def r2plus1d_resnet101_kinetics400(nclass=400, pretrained=False, pretrained_base=True, root='~/.mxnet/models', num_segments=1, num_crop=1, feat_ext=False, ctx=cpu(), **kwargs): r"""R2Plus1D with ResNet101 backbone trained on Kinetics400 dataset. Parameters ---------- nclass : int. Number of categories in the dataset. pretrained : bool or str. Boolean value controls whether to load the default pretrained weights for model. String value represents the hashtag for a certain version of pretrained weights. pretrained_base : bool or str, optional, default is True. Load pretrained base network, the extra layers are randomized. Note that if pretrained is `True`, this has no effect. ctx : Context, default CPU. The context in which to load the pretrained weights. root : str, default $MXNET_HOME/models Location for keeping the model parameters. num_segments : int, default is 1. Number of segments used to evenly divide a video. num_crop : int, default is 1. Number of crops used during evaluation, choices are 1, 3 or 10. feat_ext : bool. Whether to extract features before dense classification layer or do a complete forward pass. """ model = R2Plus1D(nclass=nclass, block=Bottleneck, layers=[3, 4, 23, 3], ctx=ctx, **kwargs) model.initialize(init.MSRAPrelu(), ctx=ctx) if pretrained: from ..model_store import get_model_file model.load_parameters(get_model_file('r2plus1d_resnet101_kinetics400', tag=pretrained, root=root), ctx=ctx) from ...data import Kinetics400Attr attrib = Kinetics400Attr() model.classes = attrib.classes model.collect_params().reset_ctx(ctx) return model def r2plus1d_resnet152_kinetics400(nclass=400, pretrained=False, pretrained_base=True, root='~/.mxnet/models', num_segments=1, num_crop=1, feat_ext=False, ctx=cpu(), **kwargs): r"""R2Plus1D with ResNet152 backbone trained on Kinetics400 dataset. Parameters ---------- nclass : int. Number of categories in the dataset. pretrained : bool or str. Boolean value controls whether to load the default pretrained weights for model. String value represents the hashtag for a certain version of pretrained weights. pretrained_base : bool or str, optional, default is True. Load pretrained base network, the extra layers are randomized. Note that if pretrained is `True`, this has no effect. ctx : Context, default CPU. The context in which to load the pretrained weights. root : str, default $MXNET_HOME/models Location for keeping the model parameters. num_segments : int, default is 1. Number of segments used to evenly divide a video. num_crop : int, default is 1. Number of crops used during evaluation, choices are 1, 3 or 10. feat_ext : bool. Whether to extract features before dense classification layer or do a complete forward pass. """ model = R2Plus1D(nclass=nclass, block=Bottleneck, layers=[3, 8, 36, 3], ctx=ctx, **kwargs) model.initialize(init.MSRAPrelu(), ctx=ctx) if pretrained: from ..model_store import get_model_file model.load_parameters(get_model_file('r2plus1d_resnet152_kinetics400', tag=pretrained, root=root), ctx=ctx) from ...data import Kinetics400Attr attrib = Kinetics400Attr() model.classes = attrib.classes model.collect_params().reset_ctx(ctx) return model

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c5dac43a188b9363ed3359b80117310c93a48c15

375

py

Python

patchy/__init__.py

peternara/graph-based-image-classification-gcn

60e93b47691e960b7f06f7a5dc11191efe881178

[ "MIT" ]

44

2017-02-26T16:52:48.000Z

2022-02-17T18:50:02.000Z

patchy/__init__.py

hungerzs/graph-based-image-classification

d44182c6a28b4ab9a691a9cb1ecd4c3b851875a8

[ "MIT" ]

2

2018-11-14T05:11:25.000Z

2020-06-23T16:24:41.000Z

patchy/__init__.py

hungerzs/graph-based-image-classification

d44182c6a28b4ab9a691a9cb1ecd4c3b851875a8

[ "MIT" ]

13

2018-04-26T07:46:35.000Z

2022-02-28T15:38:53.000Z

from .patchy import PatchySan from .helper.labeling import labelings,\ scanline,\ betweenness_centrality from .helper.neighborhood_assembly import neighborhood_assemblies,\ neighborhoods_weights_to_root,\ neighborhoods_grid_spiral

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py

Python

{{cookiecutter.repo_slug}}/tests/unit/user/test_managers.py

ikhomutov/cookiecutter-shmango

ec5a6ff94256650552e11992662a617b503418e4

[ "MIT" ]

null

{{cookiecutter.repo_slug}}/tests/unit/user/test_managers.py

ikhomutov/cookiecutter-shmango

ec5a6ff94256650552e11992662a617b503418e4

[ "MIT" ]

83

2020-04-21T04:12:47.000Z

2021-09-03T01:47:27.000Z

{{cookiecutter.repo_slug}}/tests/unit/user/test_managers.py

ikhomutov/cookiecutter-shmango

ec5a6ff94256650552e11992662a617b503418e4

[ "MIT" ]

null

import pytest pytestmark = pytest.mark.django_db class TestUserManagers: def test_create_user(self, django_user_model, faker): email = faker.email() password = faker.password() user = django_user_model.objects.create_user(email, password) assert user.email == email assert user.check_password(password) def test_create_user_empty_password(self, django_user_model, faker): email = faker.email() user = django_user_model.objects.create_user(email) assert user.email == email assert not user.has_usable_password() def test_create_user_raises_error_on_empty_email(self, django_user_model): with pytest.raises(ValueError): django_user_model.objects.create_user(email='') def test_create_superuser(self, django_user_model, faker): email = faker.email() password = faker.password() user = django_user_model.objects.create_superuser(email, password) assert user.email == email assert user.check_password(password) assert user.is_superuser assert user.is_staff def test_create_superuser_raises_error_on_false_is_superuser( self, django_user_model, faker ): with pytest.raises(ValueError): django_user_model.objects.create_superuser( email=faker.email(), password=faker.password(), is_superuser=False, ) def test_create_superuser_raises_error_on_false_is_staff( self, django_user_model, faker ): with pytest.raises(ValueError): django_user_model.objects.create_superuser( email=faker.email(), password=faker.password(), is_staff=False, )

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1

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null

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1

0

4

c5ed957119e3f69933dbfb4c1879651fe6bb40ff

65

py

Python

__init__.py

Moviesbazar/Pdiskuploader_bot

fcefd0e674843c12e797d464dd4f520f98a36632

[ "Apache-2.0" ]

1

2021-10-30T19:24:19.000Z

__init__.py

Moviesbazar/Pdiskuploader_bot

fcefd0e674843c12e797d464dd4f520f98a36632

[ "Apache-2.0" ]

null

__init__.py

Moviesbazar/Pdiskuploader_bot

fcefd0e674843c12e797d464dd4f520f98a36632

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 """ Source Code of Pdiskuploaderbot """

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4

6809a2acfca0df46c95da57d06eac41e2dd27631

124

py

Python

wikilabels/tests/test_stats_routes.py

notconfusing/wikilabels

5956e20a5d46286bfb0b6327a2b5a12fa406118b

[ "MIT" ]

null

wikilabels/tests/test_stats_routes.py

notconfusing/wikilabels

5956e20a5d46286bfb0b6327a2b5a12fa406118b

[ "MIT" ]

null

wikilabels/tests/test_stats_routes.py

notconfusing/wikilabels

5956e20a5d46286bfb0b6327a2b5a12fa406118b

[ "MIT" ]

null

from .routes_test_fixture import app # noqa def test_stats(client): assert client.get("/stats/")._status_code == 200

20.666667

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124

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null

0

1

0

1

0

4

a83deef93d0c43dab99c0c6171aa58bee51fc329

185

py

Python

financeiro/views.py

Antonio-Neves/Gestao-Escolar

a97052beb571a32619d4e6b6f5e7c3aae3bc8e9b

[ "MIT" ]

7

2021-05-21T00:23:40.000Z

2021-12-09T12:35:00.000Z

financeiro/views.py

Antonio-Neves/Gestao-Escolar

a97052beb571a32619d4e6b6f5e7c3aae3bc8e9b

[ "MIT" ]

null

financeiro/views.py

Antonio-Neves/Gestao-Escolar

a97052beb571a32619d4e6b6f5e7c3aae3bc8e9b

[ "MIT" ]

7

2021-08-03T22:28:36.000Z

2022-03-13T20:08:40.000Z

from django.shortcuts import render from django.views.generic.base import TemplateView class IndexFinanceiroView(TemplateView): template_name = 'financeiro/index-financeiro.html'

18.5

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null

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4

a8480382db69714973a4b7c38f535e4ba7563557

376

py

Python

control/src/robocup/motion-control/VelocityKalmanTuner/dynamics.py

RRRekkitRalph/robocup-firmware

a1502fdb3401e7e998a29c5fae22ef597dcc2dc5

[ "Apache-2.0" ]

26

2016-07-06T11:25:43.000Z

2022-02-27T00:24:02.000Z

control/src/robocup/motion-control/VelocityKalmanTuner/dynamics.py

RRRekkitRalph/robocup-firmware

a1502fdb3401e7e998a29c5fae22ef597dcc2dc5

[ "Apache-2.0" ]

98

2016-07-04T22:43:46.000Z

2021-11-10T00:12:02.000Z

control/src/robocup/motion-control/VelocityKalmanTuner/dynamics.py

RRRekkitRalph/robocup-firmware

a1502fdb3401e7e998a29c5fae22ef597dcc2dc5

[ "Apache-2.0" ]

16

2016-07-07T10:50:11.000Z

2021-12-06T11:20:28.000Z

from abc import ABC, abstractmethod class Dynamics(ABC): """ An abstract class which outlines the basic functionalities that an object simulating dynamics should implement """ @abstractmethod def step(self, dt): pass @abstractmethod def get_state(self): pass @abstractmethod def get_measurements(self): pass

18.8

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376

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null

0

1

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1

0

4

a853dba576efbfdcdc009b4074ffba7b0557a19b

503

py

Python

EducationalRound101/red_and_blue/red_and_blue_test.py

tqa236/codeforces

81ad7bdb7786455f83d48d59a8884f62ded66caf

[ "MIT" ]

null

EducationalRound101/red_and_blue/red_and_blue_test.py

tqa236/codeforces

81ad7bdb7786455f83d48d59a8884f62ded66caf

[ "MIT" ]

null

EducationalRound101/red_and_blue/red_and_blue_test.py

tqa236/codeforces

81ad7bdb7786455f83d48d59a8884f62ded66caf

[ "MIT" ]

null

import unittest from red_and_blue import red_and_blue class Test(unittest.TestCase): def test_1(self): self.assertEqual(red_and_blue([6, -5, 7, -3], [2, 3, -4]), 13) def test_2(self): self.assertEqual(red_and_blue([1, 1], [10, -3, 2, 2]), 13) def test_3(self): self.assertEqual(red_and_blue([-1, -2, -3, -4, -5], [-1, -2, -3, -4, -5]), 0) def test_4(self): self.assertEqual(red_and_blue([0], [0]), 0) if __name__ == "__main__": unittest.main()

23.952381

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0.586481

84

503

3.22619

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0.221402

0.324723

0.468635

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0.221402

0

0.091371

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503

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86

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null

0

1

0

1

0

4

a85f307dc35b10cea0708b8963b5efd033be967d

121

py

Python

app/tests/test_init.py

MerrybyPractice/flask-comics-api

f5d833d83a8e488e1f783ce3314bd2d4b87f5143

[ "MIT" ]

null

app/tests/test_init.py

MerrybyPractice/flask-comics-api

f5d833d83a8e488e1f783ce3314bd2d4b87f5143

[ "MIT" ]

2

2019-07-30T03:32:09.000Z

2019-07-31T13:44:36.000Z

app/tests/test_init.py

MerrybyPractice/flask-comics-api

f5d833d83a8e488e1f783ce3314bd2d4b87f5143

[ "MIT" ]

null

import sys sys.path.append("flask-comics-api") from app import app def test_all_comics(): print(app) assert False

13.444444

35

0.735537

20

121

4.35

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0

0.157025

121

9

36

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true

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null

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1

0

1

0

4

a885f24e9c1a06fce54f92a0cfe74a09e9f9a42e

190

py

Python

astrochem_ml/__init__.py

laserkelvin/astrochem_ml

1385e481525681943e50467af58f317401747acd

[ "MIT" ]

null

astrochem_ml/__init__.py

laserkelvin/astrochem_ml

1385e481525681943e50467af58f317401747acd

[ "MIT" ]

2

2021-11-18T01:33:22.000Z

2021-11-18T14:04:43.000Z

astrochem_ml/__init__.py

laserkelvin/astrochem_ml

1385e481525681943e50467af58f317401747acd

[ "MIT" ]

null

"""Top-level package for Astrochem ML.""" from astrochem_ml import smiles, classes __author__ = """Kin Long Kelvin Lee""" __email__ = 'kin.long.kelvin.lee@gmail.com' __version__ = '0.1.0'

23.75

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7

44

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0

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false

0

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0

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null

0

1

0

1

0

null

0

4

a888ce23b322d5cd58ae4ab4704251709df155c9

193

py

Python

autokey/data/My Phrases/viniciusban/terminal/kubectl exec -it from clipboard.py

viniciusban/dotfiles

e4048ef236e620ffffc83cce6d51e49019aa4e8e

[ "MIT" ]

null

autokey/data/My Phrases/viniciusban/terminal/kubectl exec -it from clipboard.py

viniciusban/dotfiles

e4048ef236e620ffffc83cce6d51e49019aa4e8e

[ "MIT" ]

1

2020-05-08T00:37:35.000Z

autokey/data/My Phrases/viniciusban/terminal/kubectl exec -it from clipboard.py

viniciusban/dotfiles

e4048ef236e620ffffc83cce6d51e49019aa4e8e

[ "MIT" ]

null

# Enter script code message = "kubectl exec -it <cursor> -- bash" keyboard.send_keys("kubectl exec -it ") keyboard.send_keys("<shift>+<ctrl>+v") time.sleep(0.1) keyboard.send_keys(" -- bash")

24.125

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193

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0

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193

7

46

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0

false

0

1

0

null

1

0

1

0

null

0

4

a89e3fe1a4c7cef6a1cb619cc685d9746e6605e8

694

py

Python

tests/conftest.py

olist/olist-loafer

cb3bc0a46ca5a343fbd455181045212e4d032ce6

[ "MIT" ]

11

2017-10-06T18:18:16.000Z

2021-12-23T11:34:11.000Z

tests/conftest.py

pydrinker/pydrinker-loafer

32d2a36827f15cc2b5362ee54da7702267da24c9

[ "MIT" ]

7

2017-02-16T13:20:54.000Z

2020-11-03T13:50:46.000Z

tests/conftest.py

pydrinker/pydrinker-loafer

32d2a36827f15cc2b5362ee54da7702267da24c9

[ "MIT" ]

2

2017-10-06T18:18:31.000Z

2020-09-10T15:09:45.000Z

import pytest from loafer.providers import AbstractProvider @pytest.fixture def dummy_handler(): def handler(message, *args): raise AssertionError("I should not be called") return handler @pytest.fixture def dummy_provider(): class Dummy(AbstractProvider): async def fetch_messages(self): raise AssertionError("I should not be called") async def confirm_message(self): raise AssertionError("I should not be called") async def message_not_processed(self): raise AssertionError("I should not be called") def stop(self): raise AssertionError("I should not be called") return Dummy()

23.133333

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694

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0.217865

0.283224

0.498911

0.213508

0

0.253602

694

29

59

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0

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0.473684

0

null

1

0

null

0

1

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4

a8a508f6eb9b35510baa4a9373e60749c24eb598

463

py

Python

parsnip/exceptions.py

timmyomahony/python-parsnip

f04426dbeaf1b186ed400d1229e5e34cbb1ffea6

[ "MIT" ]

2

2017-07-27T09:19:15.000Z

2019-10-27T11:44:27.000Z

parsnip/exceptions.py

timmyomahony/python-parsnip

f04426dbeaf1b186ed400d1229e5e34cbb1ffea6

[ "MIT" ]

null

parsnip/exceptions.py

timmyomahony/python-parsnip

f04426dbeaf1b186ed400d1229e5e34cbb1ffea6

[ "MIT" ]

null

class ParsnipException(Exception): def __init__(self, msg, webtexter=None): self.args = (msg, webtexter) self.msg = msg self.webtexter = webtexter def __str__(self): return repr("[%s] %s - %s" % (self.webtexter.NETWORK_NAME, self.webtexter.phone_number, self.msg)) class LoginError(ParsnipException):pass class MessageSendingError(ParsnipException):pass class ConnectionError(ParsnipException):pass class ResourceError(ParsnipException):pass

28.9375

100

0.764579

53

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6.490566

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0.218023

0

0.12095

463

15

101

30.866667

0.845209

0

0.025974

0

1

0.181818

false

0.363636

0

0.090909

0.727273

0

null

1

0

null

0

1

0

1

0

4

a8be0db32e967cb0153586a373f4da4226c176be

517

py

Python

students/models.py

estudeplus/perfil

58b847aa226b885ca6a7a128035f09de2322519f

[ "MIT" ]

null

students/models.py

estudeplus/perfil

58b847aa226b885ca6a7a128035f09de2322519f

[ "MIT" ]

21

2019-05-11T18:01:10.000Z

2022-02-10T11:22:01.000Z

students/models.py

estudeplus/perfil

58b847aa226b885ca6a7a128035f09de2322519f

[ "MIT" ]

null

from django.db import models class Student(models.Model): name = models.CharField(max_length=100) student_id = models.CharField(max_length=10) email = models.EmailField(max_length=254) password = models.CharField(max_length=15) def __str__(self): return self.name class InstitutionalEmail(models.Model): address_email = models.CharField(max_length=50) title_email = models.CharField(max_length=20, default='Assunto do email', editable=False) body_email = models.TextField()

32.3125

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0.145946

0.243243

0.324324

0.156757

0

0.032037

0.154739

517

15

94

34.466667

0.814645

0

0.030948

0

1

0.083333

false

0.083333

1

0

null

0

1

0

null

0

1

0

1

0

4

a8c9e7922225b107156958f1d399ae85adb6a1dc

1,721

py

Python

quedex_api/keys.py

mchalapuk/python-api

370e3536da69de4b26c241fb9ff32aa0f1f895f3

[ "Apache-2.0" ]

17

2017-07-13T12:06:01.000Z

2022-02-07T01:37:36.000Z

quedex_api/keys.py

mchalapuk/python-api

370e3536da69de4b26c241fb9ff32aa0f1f895f3

[ "Apache-2.0" ]

17

2017-07-13T09:09:40.000Z

2022-02-11T03:38:06.000Z

quedex_api/keys.py

mchalapuk/python-api

370e3536da69de4b26c241fb9ff32aa0f1f895f3

[ "Apache-2.0" ]

10

2017-07-12T17:56:02.000Z

2020-02-21T12:58:32.000Z

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Python

examples/src/python/misc/__init__.py

ajorgensen/heron

6430c51a4a6030e93018e0ed40e5936a64317636

[ "Apache-2.0" ]

2

2016-07-04T07:10:31.000Z

2018-03-28T16:59:02.000Z

examples/src/python/misc/__init__.py

ajorgensen/heron

6430c51a4a6030e93018e0ed40e5936a64317636

[ "Apache-2.0" ]

null

examples/src/python/misc/__init__.py

ajorgensen/heron

6430c51a4a6030e93018e0ed40e5936a64317636

[ "Apache-2.0" ]

1

2017-06-05T17:55:45.000Z

"""Miscellaneous example topology-related modules""" __all__ = ['test_task_hook'] from .test_task_hook import TestTaskHook

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763ffc0241362b9ed7c4968aba6ab05141e6413b

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py

Python

olufekoscrumy/apps.py

olufekosamuel/scrumy

8d93794bb04a3b3ec76ae41ae685f4e2c7b55730

[ "MIT" ]

null

olufekoscrumy/apps.py

olufekosamuel/scrumy

8d93794bb04a3b3ec76ae41ae685f4e2c7b55730

[ "MIT" ]

null

olufekoscrumy/apps.py

olufekosamuel/scrumy

8d93794bb04a3b3ec76ae41ae685f4e2c7b55730

[ "MIT" ]

null

from django.apps import AppConfig class OlufekoscrumyConfig(AppConfig): name = 'olufekoscrumy'

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767bc9780baf150a4175689b7f218ae850fdbe0b

257

py

Python

chords/more/gevent_task.py

omergertel/chords

1f5dd50f55f21ee32b8a4d7b808687d8ed1400c2

[ "MIT" ]

null

chords/more/gevent_task.py

omergertel/chords

1f5dd50f55f21ee32b8a4d7b808687d8ed1400c2

[ "MIT" ]

null

chords/more/gevent_task.py

omergertel/chords

1f5dd50f55f21ee32b8a4d7b808687d8ed1400c2

[ "MIT" ]

null

import functools from gevent import spawn from ..task import Task class GeventTask(Task): """ Task that spawns a greenlet """ def start(self, *args, **kwargs): return spawn(functools.partial(Task.start, self, *args, **kwargs))

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76838a7af2293c66cd15e86e536b35b9a382902f

7,857

py

Python

wet_chicken_discrete/baseline_policy.py

Philipp238/Safe-Policy-Improvement-Approaches-on-Discrete-Markov-Decision-Processes

d0eb7281c5151e043547d5b7379144deea0bbe03

[ "MIT" ]

null

wet_chicken_discrete/baseline_policy.py

Philipp238/Safe-Policy-Improvement-Approaches-on-Discrete-Markov-Decision-Processes

d0eb7281c5151e043547d5b7379144deea0bbe03

[ "MIT" ]

null

wet_chicken_discrete/baseline_policy.py

Philipp238/Safe-Policy-Improvement-Approaches-on-Discrete-Markov-Decision-Processes

d0eb7281c5151e043547d5b7379144deea0bbe03

[ "MIT" ]

null

import numpy as np import pandas as pd class WetChickenBaselinePolicy: def __init__(self, env, gamma, method='heuristic', epsilon=0.1, convergence=0.1, learning_rate=0.1, max_nb_it=999, order_epsilon=3, order_learning_rate=3): self.env = env self.gamma = gamma self.nb_states = env.width * env.length self.nb_actions = 5 self.pi = np.ones((self.nb_states, self.nb_actions)) / self.nb_actions self.epsilon = epsilon self.convergence = convergence self.learning_rate = learning_rate self.method = method self.max_nb_it = max_nb_it self.order_epsilon = order_epsilon self.order_learning_rate = order_learning_rate self.compute_baseline() def compute_baseline(self): if self.method == 'fixed_learning': old_q = np.zeros((self.nb_states, self.nb_actions)) q = np.ones((self.nb_states, self.nb_actions)) * 1 / (1 - self.gamma) * 4 # Optimistic initialisation nb_it = 0 state = self.env.get_state_int() # while (np.linalg.norm(old_q - q) > self.convergence) and nb_it < 999: while nb_it < self.max_nb_it: action = np.random.choice(self.pi.shape[1], p=self.pi[state]) state, reward, next_state = self.env.step(action) old_q = q.copy() q[state, action] += self.learning_rate * ( reward + self.gamma * np.max(q[next_state, :]) - q[state, action]) self.pi = self.epsilon * np.ones((self.nb_states, self.nb_actions)) / 5 for s in range(self.nb_states): self.pi[s, np.argmax(q[s, :])] += 1 - self.epsilon nb_it += 1 elif self.method == 'variable_learning': old_q = np.zeros((self.nb_states, self.nb_actions)) q = np.ones((self.nb_states, self.nb_actions)) * 1 / (1 - self.gamma) * 4 # Optimistic initialisation nb_it = 0 state = self.env.get_state_int() # while (np.linalg.norm(old_q - q) > self.convergence) and nb_it < 999: while nb_it < self.max_nb_it: nb_it += 1 epsilon = self.epsilon * 1 / nb_it ** (1 / self.order_epsilon) learning_rate = self.learning_rate * 1 / nb_it ** (1 / self.order_learning_rate) action = np.random.choice(self.pi.shape[1], p=self.pi[state]) state, reward, next_state = self.env.step(action) old_q = q.copy() q[state, action] += learning_rate * ( reward + self.gamma * np.max(q[next_state, :]) - q[state, action]) self.pi = epsilon * np.ones((self.nb_states, self.nb_actions)) / 5 for s in range(self.nb_states): self.pi[s, np.argmax(q[s, :])] += 1 - epsilon elif self.method == 'variable_learning': old_q = np.zeros((self.nb_states, self.nb_actions)) q = np.ones((self.nb_states, self.nb_actions)) * 1 / (1 - self.gamma) * 4 # Optimistic initialisation nb_it = 0 state = self.env.get_state_int() # while (np.linalg.norm(old_q - q) > self.convergence) and nb_it < 999: while nb_it < self.max_nb_it: nb_it += 1 epsilon = self.epsilon * 1 / nb_it ** (1 / self.order_epsilon) learning_rate = self.learning_rate * 1 / nb_it ** (1 / self.order_learning_rate) action = np.random.choice(self.pi.shape[1], p=self.pi[state]) state, reward, next_state = self.env.step(action) old_q = q.copy() q[state, action] += learning_rate * ( reward + self.gamma * np.max(q[next_state, :]) - q[state, action]) self.pi = epsilon * np.ones((self.nb_states, self.nb_actions)) / 5 for s in range(self.nb_states): self.pi[s, np.argmax(q[s, :])] += 1 - epsilon elif self.method == 'state_count_dependent_variable': old_q = np.zeros((self.nb_states, self.nb_actions)) q = np.ones((self.nb_states, self.nb_actions)) * 1 / (1 - self.gamma) * 4 # Optimistic initialisation nb_it = 0 state = self.env.get_state_int() # while (np.linalg.norm(old_q - q) > self.convergence) and nb_it < 999: count_state_action = np.zeros((self.nb_states, self.nb_actions)) while nb_it < self.max_nb_it: nb_it += 1 epsilon = self.epsilon * 1 / nb_it ** (1 / self.order_epsilon) action = np.random.choice(self.pi.shape[1], p=self.pi[state]) count_state_action[state, action] += 1 learning_rate = self.learning_rate * 1 / count_state_action[state, action] ** ( 1 / self.order_learning_rate) state, reward, next_state = self.env.step(action) old_q = q.copy() q[state, action] += learning_rate * ( reward + self.gamma * np.max(q[next_state, :]) - q[state, action]) self.pi = epsilon * np.ones((self.nb_states, self.nb_actions)) / 5 for s in range(self.nb_states): self.pi[s, np.argmax(q[s, :])] += 1 - epsilon elif self.method == 'heuristic': # Try to get to in the middle of the river and then paddle as strong as possible against the stream # I.e. try to get to state (2,2), as a number 12, and then choose action 2 pi = np.zeros((self.nb_states, self.nb_actions)) for state in range(self.nb_states): for action in range(self.nb_actions): x, y = int(state / self.nb_actions), state % self.nb_actions if x > 2: pi[state, 2] = 1 # We are too close to the waterfall ==> paddle as strong as possible elif y < 2: pi[state, 4] = 1 # We are not in immediate danger, but too close to the left ==> go right elif y > 2: pi[state, 3] = 1 # We are not in immediate danger, but too close to the right ==> go left elif x == 2: pi[state, 2] = 1 # We are perfect now, try to keep the position by paddling as strong as poss elif x == 1: pi[state, 1] = 1 # Close to perfect, just paddle a bit else: pi[state, 0] = 1 # Right lane, but too high up, just drift with the river self.pi = (1 - self.epsilon) * pi + self.epsilon * self.pi else: print( f'Method {self.method} is not available. Only acceptable methods are: \'heuristic\' and \'state_count_dependent_learning\' ') class ContinuousWetChickenHeuristic: def __init__(self, epsilon): self.epsilon = epsilon def pi(self, state): x, y = state[0], state[1] pi = np.zeros(5) if x > 2.5: pi[2] = 1 # We are too close to the waterfall ==> paddle as strong as possible elif y < 2: pi[4] = 1 # We are not in immediate danger, but too close to the left ==> go right elif y > 3: pi[3] = 1 # We are not in immediate danger, but too close to the right ==> go left elif x > 2: pi[2] = 1 # We are perfect now, try to keep the position by paddling as strong as poss elif x > 1: pi[1] = 1 # Close to perfect, just paddle a bit else: pi[0] = 1 # Right lane, but too high up, just drift with the river pi = (1 - self.epsilon) * pi + self.epsilon * 1/5 return pi

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768603f80762916b71f5b82d5dc5b04a5977e674

136

py

Python

timeflow/__init__.py

zach-nervana/TimeFlow

c1ea2e1d2583907ab7775f189541af87f8de9d53

[ "MIT" ]

76

2016-11-22T14:09:10.000Z

2020-09-23T19:02:19.000Z

timeflow/__init__.py

genesiscrew/TensorFlow-Predictor

d129172b064d9e73e9118ac7164eb826a1263100

[ "MIT" ]

1

2017-08-17T18:43:01.000Z

timeflow/__init__.py

genesiscrew/TensorFlow-Predictor

d129172b064d9e73e9118ac7164eb826a1263100

[ "MIT" ]

26

2017-03-09T02:41:07.000Z

2021-11-17T09:46:52.000Z

import layers as layers import placeholders as placeholders import trainer as trainer import features as features import utils as utils

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76af59b924c1dbc7c80b888dfc866f25f3b80a37

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py

Python

algorithms/python/leetcode/tests/test_NonnegativeIntegerswithoutConsecutiveOnes.py

ytjia/coding-pratice

6ddba1f3b86c40639a8203cbc3373d52301c1b1f

[ "MIT" ]

null

algorithms/python/leetcode/tests/test_NonnegativeIntegerswithoutConsecutiveOnes.py

ytjia/coding-pratice

6ddba1f3b86c40639a8203cbc3373d52301c1b1f

[ "MIT" ]

null

algorithms/python/leetcode/tests/test_NonnegativeIntegerswithoutConsecutiveOnes.py

ytjia/coding-pratice

6ddba1f3b86c40639a8203cbc3373d52301c1b1f

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Authors: Y. Jia <ytjia.zju@gmail.com> import unittest from .. import NonnegativeIntegerswithoutConsecutiveOnes class TestNonnegativeIntegerswithoutConsecutiveOnes(unittest.TestCase): solution = NonnegativeIntegerswithoutConsecutiveOnes.Solution() def test_findIntegers(self): self.assertEqual(self.solution.findIntegers(1), 2) self.assertEqual(self.solution.findIntegers(3), 3) self.assertEqual(self.solution.findIntegers(5), 5) self.assertEqual(self.solution.findIntegers(8), 6) def test_find_binary_bit_pos(self): self.assertEqual(self.solution.find_binary_bit_pos(0), list()) self.assertEqual(self.solution.find_binary_bit_pos(1), [0]) self.assertEqual(self.solution.find_binary_bit_pos(5), [0, 2]) self.assertEqual(self.solution.find_binary_bit_pos(8), [3]) self.assertEqual(self.solution.find_binary_bit_pos(15), [0, 1, 2, 3]) def test_stat_bit_cnt(self): self.assertEqual(self.solution.stat_bit_cnt(0), [2]) self.assertEqual(self.solution.stat_bit_cnt(1), [2, 1]) self.assertEqual(self.solution.stat_bit_cnt(2), [2, 1, 2]) self.assertEqual(self.solution.stat_bit_cnt(3), [2, 1, 2, 3]) if __name__ == '__main__': unittest.main()

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76b51edc5f6025c886db8fed031828f33d4df24f

265

py

Python

openstack/regression/utils/wait.py

viduship/ceph-qe-scripts

886619fa6600c24cbf989d65868951b9c3decd72

[ "MIT" ]

6

2019-04-12T17:45:44.000Z

2021-09-14T19:59:05.000Z

openstack/regression/utils/wait.py

viduship/ceph-qe-scripts

886619fa6600c24cbf989d65868951b9c3decd72

[ "MIT" ]

111

2019-12-10T10:41:08.000Z

2022-03-31T11:42:30.000Z

openstack/regression/utils/wait.py

viduship/ceph-qe-scripts

886619fa6600c24cbf989d65868951b9c3decd72

[ "MIT" ]

23

2019-05-30T19:48:25.000Z

2022-03-24T17:07:19.000Z

import time class Wait(object): def __init__(self): pass def wait_for_state_change(self, expected_status, from_status): for i in range(0, 20): if expected_status != from_status: break time.sleep(1)

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4

4f69a0fe6181c30f0c8d3af0a05441d93724aee1

42

py

Python

GithubApiDemo/__init__.py

eric-nord/githubApiDemo

ca9f05d60f099d6a35765f31cfdd1c6ad4618fde

[ "MIT" ]

null

GithubApiDemo/__init__.py

eric-nord/githubApiDemo

ca9f05d60f099d6a35765f31cfdd1c6ad4618fde

[ "MIT" ]

null

GithubApiDemo/__init__.py

eric-nord/githubApiDemo

ca9f05d60f099d6a35765f31cfdd1c6ad4618fde

[ "MIT" ]

null

""" Explicit is better than implicit """

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4f904ef1dc73b23f3b9aba76a41b6b2cd535196b

6,500

py

Python

landlab/components/transport_length_diffusion/tests/test_tl_hill_diff.py

saraahsimon/landlab

1cf809b685efbccaaa149b5899a600c3ccedf30f

[ "MIT" ]

null

landlab/components/transport_length_diffusion/tests/test_tl_hill_diff.py

saraahsimon/landlab

1cf809b685efbccaaa149b5899a600c3ccedf30f

[ "MIT" ]

null

landlab/components/transport_length_diffusion/tests/test_tl_hill_diff.py

saraahsimon/landlab

1cf809b685efbccaaa149b5899a600c3ccedf30f

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Thu Sep 21 16:52:10 2017 @author: margauxmouchene """ import numpy as np import pytest from numpy.testing import assert_almost_equal from landlab import RasterModelGrid from landlab.components import ( FlowAccumulator, FlowDirectorSteepest, TransportLengthHillslopeDiffuser, ) def test_route_to_multiple_error_raised(): mg = RasterModelGrid((10, 10)) z = mg.add_zeros("node", "topographic__elevation") z += mg.x_of_node + mg.y_of_node fa = FlowAccumulator(mg, flow_director="MFD") fa.run_one_step() with pytest.raises(NotImplementedError): TransportLengthHillslopeDiffuser(mg, erodibility=1.0, slope_crit=0.5) def test_tl_hill_diff(): """Test cases where S>Sc, S=Sc and S<Sc""" # Test cases where S>Sc, S=Sc and S<Sc # Set up a 3x16 grid with closed boundaries and initial elevations. mg = RasterModelGrid((3, 12)) z = np.array( [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 1.9, 1.9, 1.9, 1.9, 1.3, 1.3, 1.3, 1.3, 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., ] ) mg.add_field("node", "topographic__elevation", z) mg.set_closed_boundaries_at_grid_edges(True, True, True, True) # Parameter values for test k = 0.001 Sc = 0.6 # Instantiate flow director and tl hillslope diffuser fdir = FlowDirectorSteepest(mg) tl_diff = TransportLengthHillslopeDiffuser(mg, erodibility=k, slope_crit=Sc) # Run flow director fdir.run_one_step() # test slopes s_out = mg.at_node["topographic__steepest_slope"] s_test = np.array( [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 3.1, 0., 0., 0., 0.6, 0., 0., 0., 0.3, 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., ] ) assert_almost_equal(s_out, s_test, decimal=10) # Run tl hillslope diffusion component tl_diff.run_one_step(1.) # Test results # flux_out fo_test = np.array( [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.025, 0., 0., 0., 0.0006, 0., 0., 0., 0.0003, 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., ] ) fo_out = mg.at_node["sediment__flux_out"] assert_almost_equal(fo_out, fo_test, decimal=10) # updated elevation elev_test = np.array( [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 4.975, 1.9, 1.9, 1.9, 1.8994, 1.3, 1.3, 1.3, 1.2997, 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., ] ) elev_out = mg.at_node["topographic__elevation"] assert_almost_equal(elev_out, elev_test, decimal=10) # Run another time step because deposition and transfer were null # the first time fdir.run_one_step() tl_diff.run_one_step(1.) # Test results # flux_out fo_test = np.array( [ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 2.47500000e-02, 0.00000000e+00, 0.00000000e+00, 6.00000000e-07, 5.99400000e-04, 0.00000000e+00, 0.00000000e+00, 3.00000000e-07, 2.99700000e-04, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ] ) fo_out = mg.at_node["sediment__flux_out"] assert_almost_equal(fo_out, fo_test, decimal=10) # updated elevation elev_test = np.array( [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 4.95025, 1.925, 1.9, 1.8999994, 1.8988006, 1.3006, 1.3, 1.2999997, 1.2994003, 1.0003, 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., ] ) elev_out = mg.at_node["topographic__elevation"] assert_almost_equal(elev_out, elev_test, decimal=10)

20.249221

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661

6,500

3.453858

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0.118265

0.159001

0.187473

0.502847

0.467368

0.454227

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0

0.228729

0.524462

6,500

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null

0

1

0

1

0

1

0

null

0

4

4f99110a6e3f66f4ccceeec3bdd358ee7d2b0212

75

py

Python

test/hello64_patch_search.py

Nicholas1126/patchkit

290f61440abdcb8a334c0823326c0bc4e110059e

[ "MIT" ]

null

test/hello64_patch_search.py

Nicholas1126/patchkit

290f61440abdcb8a334c0823326c0bc4e110059e

[ "MIT" ]

null

test/hello64_patch_search.py

Nicholas1126/patchkit

290f61440abdcb8a334c0823326c0bc4e110059e

[ "MIT" ]

null

def search_add(pt): add_addr = pt.search('add') print hex(add_addr)

25

31

0.666667

13

75

3.615385

0.538462

0.382979

0

0.186667

75

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32

25

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null

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null

0.333333

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null

1

0

1

0

null

0

1

0

4

8c09cfaddc4d9d32bda49a28af781c40e36a6a23

83

py

Python

Recipes/rcps/apps.py

ADKosm/Recipes

39b81091d8c5b91eeabdb99412c437a62ca5e1aa

[ "MIT" ]

null

Recipes/rcps/apps.py

ADKosm/Recipes

39b81091d8c5b91eeabdb99412c437a62ca5e1aa

[ "MIT" ]

1

2016-12-17T07:08:16.000Z

Recipes/rcps/apps.py

ADKosm/Recipes

39b81091d8c5b91eeabdb99412c437a62ca5e1aa

[ "MIT" ]

null

from django.apps import AppConfig class RcpsConfig(AppConfig): name = 'rcps'

13.833333

33

0.73494

10

83

6.1

0.9

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83

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16.6

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null

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1

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1

0

4

8c0e97f1acefec6e12b9b45266f9d330feb11b47

355

py

Python

pswalker/sim/sim.py

ZLLentz/pswalker

9642489e6add37906998f09cc88290bc95686ac9

[ "BSD-3-Clause-LBNL" ]

null

pswalker/sim/sim.py

ZLLentz/pswalker

9642489e6add37906998f09cc88290bc95686ac9

[ "BSD-3-Clause-LBNL" ]

8

2018-04-20T21:26:02.000Z

2021-01-11T19:31:08.000Z

pswalker/sim/sim.py

ZLLentz/pswalker

9642489e6add37906998f09cc88290bc95686ac9

[ "BSD-3-Clause-LBNL" ]

2

2018-06-26T00:09:27.000Z

2018-11-29T19:40:04.000Z

""" Simulated device classes """ from ophyd.device import Device, Component from .signal import FakeSignal class SimDevice(Device): """ Class to house components and methods common to all simulated devices. """ sim_x = Component(FakeSignal, value=0) sim_y = Component(FakeSignal, value=0) sim_z = Component(FakeSignal, value=0)

22.1875

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0.712676

45

355

5.555556

0.555556

0.228

0.288

0.3

0.224

0

0.010453

0.191549

355

15

75

23.666667

0.860627

0.267606

0

1

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false

0

0.333333

0

1

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null

1

0

null

0

1

0

4

8c361112a2676ad3ae3884f67f664ad4e61ad19c

179

py

Python

Exercises/folhaDePagamento.py

JeffersonOliveira/Exercises--OO2-with-Python3

4c9022a06ea933cd83f30b8b60c2e947e0a3250e

[ "MIT" ]

null

Exercises/folhaDePagamento.py

JeffersonOliveira/Exercises--OO2-with-Python3

4c9022a06ea933cd83f30b8b60c2e947e0a3250e

[ "MIT" ]

null

Exercises/folhaDePagamento.py

JeffersonOliveira/Exercises--OO2-with-Python3

4c9022a06ea933cd83f30b8b60c2e947e0a3250e

[ "MIT" ]

null

class FolhaDePagamento: @staticmethod def log(): return f'Isso é um log qualquer.' #folha = FolhaDePagamento() #print(folha.log()) print(FolhaDePagamento.log())

17.9

41

0.681564

20

179

6.1

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0.189944

179

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42

17.9

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1

0

null

0

null

0

1

0

1

0

4

4fb1eb801d7587deecd0cef69ce7045da334f1cc

161

py

Python

tracer/test.py

leopiney/tscf

d98fbfe06abbf1d29458ddd147b7f1d99118e4ed

[ "MIT" ]

null

tracer/test.py

leopiney/tscf

d98fbfe06abbf1d29458ddd147b7f1d99118e4ed

[ "MIT" ]

null

tracer/test.py

leopiney/tscf

d98fbfe06abbf1d29458ddd147b7f1d99118e4ed

[ "MIT" ]

null

import numpy as np from scipy.optimize import linear_sum_assignment np.random.seed(0) c = np.random.rand(128, 128) row_ind, col_ind = linear_sum_assignment(c)

20.125

48

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161

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0.14876

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0

0.049296

0.118012

161

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1

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null

0

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4

4fb887e16c8e670c35cf19aaf804300bc4ca22e4

40,372

py

Python

jsfuzz/fuzzer/grammarinator_deps/ECMAScriptUnparser.py

gustavopinto/entente

19b65d8cafd77c198c9c441f4f5e01503360309b

[ "BSD-2-Clause" ]

5

2018-03-20T21:53:38.000Z

2018-12-28T21:08:47.000Z

jsfuzz/fuzzer/grammarinator_deps/ECMAScriptUnparser.py

gustavopinto/entente

19b65d8cafd77c198c9c441f4f5e01503360309b

[ "BSD-2-Clause" ]

14

2018-04-09T20:16:00.000Z

2019-06-11T12:31:10.000Z

jsfuzz/fuzzer/grammarinator_deps/ECMAScriptUnparser.py

gustavopinto/entente

19b65d8cafd77c198c9c441f4f5e01503360309b

[ "BSD-2-Clause" ]

12

2018-04-06T00:52:24.000Z

2018-07-10T19:44:16.000Z

# Generated by Grammarinator 17.7 from itertools import chain from grammarinator.runtime import * import ECMAScriptUnlexer class ECMAScriptUnparser(Grammarinator): def __init__(self, unlexer): super(ECMAScriptUnparser, self).__init__() self.unlexer = unlexer self.set_options() @depthcontrol def program(self): current = self.create_node(UnparserRule(name='program')) if self.unlexer.max_depth >= 4: for _ in self.zero_or_one(): current += self.sourceElements() current += self.unlexer.EOF() return current program.min_depth = 1 @depthcontrol def sourceElements(self): current = self.create_node(UnparserRule(name='sourceElements')) if self.unlexer.max_depth >= 0: for _ in self.one_or_more(): current += self.sourceElement() return current sourceElements.min_depth = 3 @depthcontrol def sourceElement(self): current = self.create_node(UnparserRule(name='sourceElement')) choice = self.choice([0 if [2, 3][i] > self.unlexer.max_depth else w for i, w in enumerate([1, 1])]) if choice == 0: current += self.statement() elif choice == 1: current += self.functionDeclaration() return current sourceElement.min_depth = 2 @depthcontrol def statement(self): current = self.create_node(UnparserRule(name='statement')) choice = self.choice([0 if [1, 5, 2, 4, 4, 3, 2, 2, 2, 4, 3, 4, 4, 3, 2][i] > self.unlexer.max_depth else w for i, w in enumerate([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])]) if choice == 0: current += self.block() elif choice == 1: current += self.variableStatement() elif choice == 2: current += self.emptyStatement() elif choice == 3: current += self.expressionStatement() elif choice == 4: current += self.ifStatement() elif choice == 5: current += self.iterationStatement() elif choice == 6: current += self.continueStatement() elif choice == 7: current += self.breakStatement() elif choice == 8: current += self.returnStatement() elif choice == 9: current += self.withStatement() elif choice == 10: current += self.labelledStatement() elif choice == 11: current += self.switchStatement() elif choice == 12: current += self.throwStatement() elif choice == 13: current += self.tryStatement() elif choice == 14: current += self.debuggerStatement() return current statement.min_depth = 1 @depthcontrol def block(self): current = self.create_node(UnparserRule(name='block')) current += self.create_node(UnlexerRule(src='{')) if self.unlexer.max_depth >= 3: for _ in self.zero_or_one(): current += self.statementList() current += self.create_node(UnlexerRule(src='}')) return current block.min_depth = 0 @depthcontrol def statementList(self): current = self.create_node(UnparserRule(name='statementList')) if self.unlexer.max_depth >= 0: for _ in self.one_or_more(): current += self.statement() return current statementList.min_depth = 2 @depthcontrol def variableStatement(self): current = self.create_node(UnparserRule(name='variableStatement')) current += self.unlexer.Var() current += self.variableDeclarationList() current += self.eos() return current variableStatement.min_depth = 4 @depthcontrol def variableDeclarationList(self): current = self.create_node(UnparserRule(name='variableDeclarationList')) current += self.variableDeclaration() if self.unlexer.max_depth >= 3: for _ in self.zero_or_more(): current += self.create_node(UnlexerRule(src=',')) current += self.variableDeclaration() return current variableDeclarationList.min_depth = 3 @depthcontrol def variableDeclaration(self): current = self.create_node(UnparserRule(name='variableDeclaration')) current += self.unlexer.Identifier() if self.unlexer.max_depth >= 3: for _ in self.zero_or_one(): current += self.initialiser() return current variableDeclaration.min_depth = 2 @depthcontrol def initialiser(self): current = self.create_node(UnparserRule(name='initialiser')) current += self.create_node(UnlexerRule(src='=')) current += self.singleExpression() return current initialiser.min_depth = 2 @depthcontrol def emptyStatement(self): current = self.create_node(UnparserRule(name='emptyStatement')) current += self.unlexer.SemiColon() return current emptyStatement.min_depth = 1 @depthcontrol def expressionStatement(self): current = self.create_node(UnparserRule(name='expressionStatement')) current += self.expressionSequence() current += self.eos() return current expressionStatement.min_depth = 3 @depthcontrol def ifStatement(self): current = self.create_node(UnparserRule(name='ifStatement')) current += self.unlexer.If() current += self.create_node(UnlexerRule(src='(')) current += self.expressionSequence() current += self.create_node(UnlexerRule(src=')')) current += self.statement() if self.unlexer.max_depth >= 2: for _ in self.zero_or_one(): current += self.unlexer.Else() current += self.statement() return current ifStatement.min_depth = 3 @depthcontrol def iterationStatement(self): current = self.create_node(UnparserRule(name='iterationStatement')) choice = self.choice([0 if [3, 3, 2, 4, 3, 3][i] > self.unlexer.max_depth else w for i, w in enumerate([1, 1, 1, 1, 1, 1])]) if choice == 0: current += self.unlexer.Do() current += self.statement() current += self.unlexer.While() current += self.create_node(UnlexerRule(src='(')) current += self.expressionSequence() current += self.create_node(UnlexerRule(src=')')) current += self.eos() elif choice == 1: current += self.unlexer.While() current += self.create_node(UnlexerRule(src='(')) current += self.expressionSequence() current += self.create_node(UnlexerRule(src=')')) current += self.statement() elif choice == 2: current += self.unlexer.For() current += self.create_node(UnlexerRule(src='(')) if self.unlexer.max_depth >= 3: for _ in self.zero_or_one(): current += self.expressionSequence() current += self.create_node(UnlexerRule(src=';')) if self.unlexer.max_depth >= 3: for _ in self.zero_or_one(): current += self.expressionSequence() current += self.create_node(UnlexerRule(src=';')) if self.unlexer.max_depth >= 3: for _ in self.zero_or_one(): current += self.expressionSequence() current += self.create_node(UnlexerRule(src=')')) current += self.statement() elif choice == 3: current += self.unlexer.For() current += self.create_node(UnlexerRule(src='(')) current += self.unlexer.Var() current += self.variableDeclarationList() current += self.create_node(UnlexerRule(src=';')) if self.unlexer.max_depth >= 3: for _ in self.zero_or_one(): current += self.expressionSequence() current += self.create_node(UnlexerRule(src=';')) if self.unlexer.max_depth >= 3: for _ in self.zero_or_one(): current += self.expressionSequence() current += self.create_node(UnlexerRule(src=')')) current += self.statement() elif choice == 4: current += self.unlexer.For() current += self.create_node(UnlexerRule(src='(')) current += self.singleExpression() current += self.unlexer.In() current += self.expressionSequence() current += self.create_node(UnlexerRule(src=')')) current += self.statement() elif choice == 5: current += self.unlexer.For() current += self.create_node(UnlexerRule(src='(')) current += self.unlexer.Var() current += self.variableDeclaration() current += self.unlexer.In() current += self.expressionSequence() current += self.create_node(UnlexerRule(src=')')) current += self.statement() return current iterationStatement.min_depth = 2 @depthcontrol def continueStatement(self): current = self.create_node(UnparserRule(name='continueStatement')) current += self.unlexer.Continue() if self.unlexer.max_depth >= 2: for _ in self.zero_or_one(): current += self.unlexer.Identifier() current += self.eos() return current continueStatement.min_depth = 1 @depthcontrol def breakStatement(self): current = self.create_node(UnparserRule(name='breakStatement')) current += self.unlexer.Break() if self.unlexer.max_depth >= 2: for _ in self.zero_or_one(): current += self.unlexer.Identifier() current += self.eos() return current breakStatement.min_depth = 1 @depthcontrol def returnStatement(self): current = self.create_node(UnparserRule(name='returnStatement')) current += self.unlexer.Return() if self.unlexer.max_depth >= 3: for _ in self.zero_or_one(): current += self.expressionSequence() current += self.eos() return current returnStatement.min_depth = 1 @depthcontrol def withStatement(self): current = self.create_node(UnparserRule(name='withStatement')) current += self.unlexer.With() current += self.create_node(UnlexerRule(src='(')) current += self.expressionSequence() current += self.create_node(UnlexerRule(src=')')) current += self.statement() return current withStatement.min_depth = 3 @depthcontrol def switchStatement(self): current = self.create_node(UnparserRule(name='switchStatement')) current += self.unlexer.Switch() current += self.create_node(UnlexerRule(src='(')) current += self.expressionSequence() current += self.create_node(UnlexerRule(src=')')) current += self.caseBlock() return current switchStatement.min_depth = 3 @depthcontrol def caseBlock(self): current = self.create_node(UnparserRule(name='caseBlock')) current += self.create_node(UnlexerRule(src='{')) if self.unlexer.max_depth >= 5: for _ in self.zero_or_one(): current += self.caseClauses() if self.unlexer.max_depth >= 2: for _ in self.zero_or_one(): current += self.defaultClause() if self.unlexer.max_depth >= 5: for _ in self.zero_or_one(): current += self.caseClauses() current += self.create_node(UnlexerRule(src='}')) return current caseBlock.min_depth = 0 @depthcontrol def caseClauses(self): current = self.create_node(UnparserRule(name='caseClauses')) if self.unlexer.max_depth >= 0: for _ in self.one_or_more(): current += self.caseClause() return current caseClauses.min_depth = 4 @depthcontrol def caseClause(self): current = self.create_node(UnparserRule(name='caseClause')) current += self.unlexer.Case() current += self.expressionSequence() current += self.create_node(UnlexerRule(src=':')) if self.unlexer.max_depth >= 3: for _ in self.zero_or_one(): current += self.statementList() return current caseClause.min_depth = 3 @depthcontrol def defaultClause(self): current = self.create_node(UnparserRule(name='defaultClause')) current += self.unlexer.Default() current += self.create_node(UnlexerRule(src=':')) if self.unlexer.max_depth >= 3: for _ in self.zero_or_one(): current += self.statementList() return current defaultClause.min_depth = 1 @depthcontrol def labelledStatement(self): current = self.create_node(UnparserRule(name='labelledStatement')) current += self.unlexer.Identifier() current += self.create_node(UnlexerRule(src=':')) current += self.statement() return current labelledStatement.min_depth = 2 @depthcontrol def throwStatement(self): current = self.create_node(UnparserRule(name='throwStatement')) current += self.unlexer.Throw() current += self.expressionSequence() current += self.eos() return current throwStatement.min_depth = 3 @depthcontrol def tryStatement(self): current = self.create_node(UnparserRule(name='tryStatement')) choice = self.choice([0 if [3, 2, 3][i] > self.unlexer.max_depth else w for i, w in enumerate([1, 1, 1])]) if choice == 0: current += self.unlexer.Try() current += self.block() current += self.catchProduction() elif choice == 1: current += self.unlexer.Try() current += self.block() current += self.finallyProduction() elif choice == 2: current += self.unlexer.Try() current += self.block() current += self.catchProduction() current += self.finallyProduction() return current tryStatement.min_depth = 2 @depthcontrol def catchProduction(self): current = self.create_node(UnparserRule(name='catchProduction')) current += self.unlexer.Catch() current += self.create_node(UnlexerRule(src='(')) current += self.unlexer.Identifier() current += self.create_node(UnlexerRule(src=')')) current += self.block() return current catchProduction.min_depth = 2 @depthcontrol def finallyProduction(self): current = self.create_node(UnparserRule(name='finallyProduction')) current += self.unlexer.Finally() current += self.block() return current finallyProduction.min_depth = 1 @depthcontrol def debuggerStatement(self): current = self.create_node(UnparserRule(name='debuggerStatement')) current += self.unlexer.Debugger() current += self.eos() return current debuggerStatement.min_depth = 1 @depthcontrol def functionDeclaration(self): current = self.create_node(UnparserRule(name='functionDeclaration')) current += self.unlexer.Function() current += self.unlexer.Identifier() current += self.create_node(UnlexerRule(src='(')) if self.unlexer.max_depth >= 3: for _ in self.zero_or_one(): current += self.formalParameterList() current += self.create_node(UnlexerRule(src=')')) current += self.create_node(UnlexerRule(src='{')) current += self.functionBody() current += self.create_node(UnlexerRule(src='}')) return current functionDeclaration.min_depth = 2 @depthcontrol def formalParameterList(self): current = self.create_node(UnparserRule(name='formalParameterList')) current += self.unlexer.Identifier() if self.unlexer.max_depth >= 2: for _ in self.zero_or_more(): current += self.create_node(UnlexerRule(src=',')) current += self.unlexer.Identifier() return current formalParameterList.min_depth = 2 @depthcontrol def functionBody(self): current = self.create_node(UnparserRule(name='functionBody')) if self.unlexer.max_depth >= 4: for _ in self.zero_or_one(): current += self.sourceElements() return current functionBody.min_depth = 0 @depthcontrol def arrayLiteral(self): current = self.create_node(UnparserRule(name='arrayLiteral')) current += self.create_node(UnlexerRule(src='[')) if self.unlexer.max_depth >= 3: for _ in self.zero_or_one(): current += self.elementList() if self.unlexer.max_depth >= 0: for _ in self.zero_or_one(): current += self.create_node(UnlexerRule(src=',')) if self.unlexer.max_depth >= 1: for _ in self.zero_or_one(): current += self.elision() current += self.create_node(UnlexerRule(src=']')) return current arrayLiteral.min_depth = 0 @depthcontrol def elementList(self): current = self.create_node(UnparserRule(name='elementList')) if self.unlexer.max_depth >= 1: for _ in self.zero_or_one(): current += self.elision() current += self.singleExpression() if self.unlexer.max_depth >= 2: for _ in self.zero_or_more(): current += self.create_node(UnlexerRule(src=',')) if self.unlexer.max_depth >= 1: for _ in self.zero_or_one(): current += self.elision() current += self.singleExpression() return current elementList.min_depth = 2 @depthcontrol def elision(self): current = self.create_node(UnparserRule(name='elision')) if self.unlexer.max_depth >= 0: for _ in self.one_or_more(): current += self.create_node(UnlexerRule(src=',')) return current elision.min_depth = 0 @depthcontrol def objectLiteral(self): current = self.create_node(UnparserRule(name='objectLiteral')) choice = self.choice([0 if [0, 4][i] > self.unlexer.max_depth else w for i, w in enumerate([1, 1])]) if choice == 0: current += self.create_node(UnlexerRule(src='{')) current += self.create_node(UnlexerRule(src='}')) elif choice == 1: current += self.create_node(UnlexerRule(src='{')) current += self.propertyNameAndValueList() if self.unlexer.max_depth >= 0: for _ in self.zero_or_one(): current += self.create_node(UnlexerRule(src=',')) current += self.create_node(UnlexerRule(src='}')) return current objectLiteral.min_depth = 0 @depthcontrol def propertyNameAndValueList(self): current = self.create_node(UnparserRule(name='propertyNameAndValueList')) current += self.propertyAssignment() if self.unlexer.max_depth >= 3: for _ in self.zero_or_more(): current += self.create_node(UnlexerRule(src=',')) current += self.propertyAssignment() return current propertyNameAndValueList.min_depth = 3 @depthcontrol def propertyAssignment(self): current = self.create_node(UnparserRule(name='propertyAssignment')) choice = self.choice([0 if [2, 3, 3][i] > self.unlexer.max_depth else w for i, w in enumerate([1, 1, 1])]) if choice == 0: current += self.propertyName() current += self.create_node(UnlexerRule(src=':')) current += self.singleExpression() elif choice == 1: current += self.getter() current += self.create_node(UnlexerRule(src='(')) current += self.create_node(UnlexerRule(src=')')) current += self.create_node(UnlexerRule(src='{')) current += self.functionBody() current += self.create_node(UnlexerRule(src='}')) elif choice == 2: current += self.setter() current += self.create_node(UnlexerRule(src='(')) current += self.propertySetParameterList() current += self.create_node(UnlexerRule(src=')')) current += self.create_node(UnlexerRule(src='{')) current += self.functionBody() current += self.create_node(UnlexerRule(src='}')) return current propertyAssignment.min_depth = 2 @depthcontrol def propertyName(self): current = self.create_node(UnparserRule(name='propertyName')) choice = self.choice([0 if [3, 1, 3][i] > self.unlexer.max_depth else w for i, w in enumerate([1, 1, 1])]) if choice == 0: current += self.identifierName() elif choice == 1: current += self.unlexer.StringLiteral() elif choice == 2: current += self.numericLiteral() return current propertyName.min_depth = 1 @depthcontrol def propertySetParameterList(self): current = self.create_node(UnparserRule(name='propertySetParameterList')) current += self.unlexer.Identifier() return current propertySetParameterList.min_depth = 2 @depthcontrol def arguments(self): current = self.create_node(UnparserRule(name='arguments')) current += self.create_node(UnlexerRule(src='(')) if self.unlexer.max_depth >= 3: for _ in self.zero_or_one(): current += self.argumentList() current += self.create_node(UnlexerRule(src=')')) return current arguments.min_depth = 0 @depthcontrol def argumentList(self): current = self.create_node(UnparserRule(name='argumentList')) current += self.singleExpression() if self.unlexer.max_depth >= 2: for _ in self.zero_or_more(): current += self.create_node(UnlexerRule(src=',')) current += self.singleExpression() return current argumentList.min_depth = 2 @depthcontrol def expressionSequence(self): current = self.create_node(UnparserRule(name='expressionSequence')) current += self.singleExpression() if self.unlexer.max_depth >= 2: for _ in self.zero_or_more(): current += self.create_node(UnlexerRule(src=',')) current += self.singleExpression() return current expressionSequence.min_depth = 2 @depthcontrol def singleExpression(self): current = self.create_node(UnparserRule(name='singleExpression')) choice = self.choice([0 if [1, 3, 3, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 1, 1, 3][i] > self.unlexer.max_depth else w for i, w in enumerate([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])]) if choice == 0: current += self.unlexer.Function() if self.unlexer.max_depth >= 2: for _ in self.zero_or_one(): current += self.unlexer.Identifier() current += self.create_node(UnlexerRule(src='(')) if self.unlexer.max_depth >= 3: for _ in self.zero_or_one(): current += self.formalParameterList() current += self.create_node(UnlexerRule(src=')')) current += self.create_node(UnlexerRule(src='{')) current += self.functionBody() current += self.create_node(UnlexerRule(src='}')) elif choice == 1: current += self.singleExpression() current += self.create_node(UnlexerRule(src='[')) current += self.expressionSequence() current += self.create_node(UnlexerRule(src=']')) elif choice == 2: current += self.singleExpression() current += self.create_node(UnlexerRule(src='.')) current += self.identifierName() elif choice == 3: current += self.singleExpression() current += self.arguments() elif choice == 4: current += self.unlexer.New() current += self.singleExpression() if self.unlexer.max_depth >= 1: for _ in self.zero_or_one(): current += self.arguments() elif choice == 5: current += self.singleExpression() current += self.create_node(UnlexerRule(src='++')) elif choice == 6: current += self.singleExpression() current += self.create_node(UnlexerRule(src='--')) elif choice == 7: current += self.unlexer.Delete() current += self.singleExpression() elif choice == 8: current += self.unlexer.Void() current += self.singleExpression() elif choice == 9: current += self.unlexer.Typeof() current += self.singleExpression() elif choice == 10: current += self.create_node(UnlexerRule(src='++')) current += self.singleExpression() elif choice == 11: current += self.create_node(UnlexerRule(src='--')) current += self.singleExpression() elif choice == 12: current += self.create_node(UnlexerRule(src='+')) current += self.singleExpression() elif choice == 13: current += self.create_node(UnlexerRule(src='-')) current += self.singleExpression() elif choice == 14: current += self.create_node(UnlexerRule(src='~')) current += self.singleExpression() elif choice == 15: current += self.create_node(UnlexerRule(src='!')) current += self.singleExpression() elif choice == 16: current += self.singleExpression() choice = self.choice([0 if [0, 0, 0][i] > self.unlexer.max_depth else w for i, w in enumerate([1, 1, 1])]) if choice == 0: current += self.create_node(UnlexerRule(src='*')) elif choice == 1: current += self.create_node(UnlexerRule(src='/')) elif choice == 2: current += self.create_node(UnlexerRule(src='%')) current += self.singleExpression() elif choice == 17: current += self.singleExpression() choice = self.choice([0 if [0, 0][i] > self.unlexer.max_depth else w for i, w in enumerate([1, 1])]) if choice == 0: current += self.create_node(UnlexerRule(src='+')) elif choice == 1: current += self.create_node(UnlexerRule(src='-')) current += self.singleExpression() elif choice == 18: current += self.singleExpression() choice = self.choice([0 if [0, 0, 0][i] > self.unlexer.max_depth else w for i, w in enumerate([1, 1, 1])]) if choice == 0: current += self.create_node(UnlexerRule(src='<<')) elif choice == 1: current += self.create_node(UnlexerRule(src='>>')) elif choice == 2: current += self.create_node(UnlexerRule(src='>>>')) current += self.singleExpression() elif choice == 19: current += self.singleExpression() choice = self.choice([0 if [0, 0, 0, 0][i] > self.unlexer.max_depth else w for i, w in enumerate([1, 1, 1, 1])]) if choice == 0: current += self.create_node(UnlexerRule(src='<')) elif choice == 1: current += self.create_node(UnlexerRule(src='>')) elif choice == 2: current += self.create_node(UnlexerRule(src='<=')) elif choice == 3: current += self.create_node(UnlexerRule(src='>=')) current += self.singleExpression() elif choice == 20: current += self.singleExpression() current += self.unlexer.Instanceof() current += self.singleExpression() elif choice == 21: current += self.singleExpression() current += self.unlexer.In() current += self.singleExpression() elif choice == 22: current += self.singleExpression() choice = self.choice([0 if [0, 0, 0, 0][i] > self.unlexer.max_depth else w for i, w in enumerate([1, 1, 1, 1])]) if choice == 0: current += self.create_node(UnlexerRule(src='==')) elif choice == 1: current += self.create_node(UnlexerRule(src='!=')) elif choice == 2: current += self.create_node(UnlexerRule(src='===')) elif choice == 3: current += self.create_node(UnlexerRule(src='!==')) current += self.singleExpression() elif choice == 23: current += self.singleExpression() current += self.create_node(UnlexerRule(src='&')) current += self.singleExpression() elif choice == 24: current += self.singleExpression() current += self.create_node(UnlexerRule(src='^')) current += self.singleExpression() elif choice == 25: current += self.singleExpression() current += self.create_node(UnlexerRule(src='|')) current += self.singleExpression() elif choice == 26: current += self.singleExpression() current += self.create_node(UnlexerRule(src='&&')) current += self.singleExpression() elif choice == 27: current += self.singleExpression() current += self.create_node(UnlexerRule(src='||')) current += self.singleExpression() elif choice == 28: current += self.singleExpression() current += self.create_node(UnlexerRule(src='?')) current += self.singleExpression() current += self.create_node(UnlexerRule(src=':')) current += self.singleExpression() elif choice == 29: current += self.singleExpression() current += self.create_node(UnlexerRule(src='=')) current += self.singleExpression() elif choice == 30: current += self.singleExpression() current += self.assignmentOperator() current += self.singleExpression() elif choice == 31: current += self.unlexer.This() elif choice == 32: current += self.unlexer.Identifier() elif choice == 33: current += self.literal() elif choice == 34: current += self.arrayLiteral() elif choice == 35: current += self.objectLiteral() elif choice == 36: current += self.create_node(UnlexerRule(src='(')) current += self.expressionSequence() current += self.create_node(UnlexerRule(src=')')) return current singleExpression.min_depth = 1 @depthcontrol def assignmentOperator(self): current = self.create_node(UnparserRule(name='assignmentOperator')) choice = self.choice([0 if [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0][i] > self.unlexer.max_depth else w for i, w in enumerate([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])]) if choice == 0: current += self.create_node(UnlexerRule(src='*=')) elif choice == 1: current += self.create_node(UnlexerRule(src='/=')) elif choice == 2: current += self.create_node(UnlexerRule(src='%=')) elif choice == 3: current += self.create_node(UnlexerRule(src='+=')) elif choice == 4: current += self.create_node(UnlexerRule(src='-=')) elif choice == 5: current += self.create_node(UnlexerRule(src='<<=')) elif choice == 6: current += self.create_node(UnlexerRule(src='>>=')) elif choice == 7: current += self.create_node(UnlexerRule(src='>>>=')) elif choice == 8: current += self.create_node(UnlexerRule(src='&=')) elif choice == 9: current += self.create_node(UnlexerRule(src='^=')) elif choice == 10: current += self.create_node(UnlexerRule(src='|=')) return current assignmentOperator.min_depth = 0 @depthcontrol def literal(self): current = self.create_node(UnparserRule(name='literal')) choice = self.choice([0 if [1, 3][i] > self.unlexer.max_depth else w for i, w in enumerate([1, 1])]) if choice == 0: choice = self.choice([0 if [1, 1, 1, 3][i] > self.unlexer.max_depth else w for i, w in enumerate([1, 1, 1, 1])]) if choice == 0: current += self.unlexer.NullLiteral() elif choice == 1: current += self.unlexer.BooleanLiteral() elif choice == 2: current += self.unlexer.StringLiteral() elif choice == 3: current += self.unlexer.RegularExpressionLiteral() elif choice == 1: current += self.numericLiteral() return current literal.min_depth = 1 @depthcontrol def numericLiteral(self): current = self.create_node(UnparserRule(name='numericLiteral')) choice = self.choice([0 if [2, 2, 2][i] > self.unlexer.max_depth else w for i, w in enumerate([1, 1, 1])]) if choice == 0: current += self.unlexer.DecimalLiteral() elif choice == 1: current += self.unlexer.HexIntegerLiteral() elif choice == 2: current += self.unlexer.OctalIntegerLiteral() return current numericLiteral.min_depth = 2 @depthcontrol def identifierName(self): current = self.create_node(UnparserRule(name='identifierName')) choice = self.choice([0 if [2, 2][i] > self.unlexer.max_depth else w for i, w in enumerate([1, 1])]) if choice == 0: current += self.unlexer.Identifier() elif choice == 1: current += self.reservedWord() return current identifierName.min_depth = 2 @depthcontrol def reservedWord(self): current = self.create_node(UnparserRule(name='reservedWord')) choice = self.choice([0 if [2, 2, 1][i] > self.unlexer.max_depth else w for i, w in enumerate([1, 1, 1])]) if choice == 0: current += self.keyword() elif choice == 1: current += self.futureReservedWord() elif choice == 2: choice = self.choice([0 if [1, 1][i] > self.unlexer.max_depth else w for i, w in enumerate([1, 1])]) if choice == 0: current += self.unlexer.NullLiteral() elif choice == 1: current += self.unlexer.BooleanLiteral() return current reservedWord.min_depth = 1 @depthcontrol def keyword(self): current = self.create_node(UnparserRule(name='keyword')) choice = self.choice([0 if [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1][i] > self.unlexer.max_depth else w for i, w in enumerate([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])]) if choice == 0: current += self.unlexer.Break() elif choice == 1: current += self.unlexer.Do() elif choice == 2: current += self.unlexer.Instanceof() elif choice == 3: current += self.unlexer.Typeof() elif choice == 4: current += self.unlexer.Case() elif choice == 5: current += self.unlexer.Else() elif choice == 6: current += self.unlexer.New() elif choice == 7: current += self.unlexer.Var() elif choice == 8: current += self.unlexer.Catch() elif choice == 9: current += self.unlexer.Finally() elif choice == 10: current += self.unlexer.Return() elif choice == 11: current += self.unlexer.Void() elif choice == 12: current += self.unlexer.Continue() elif choice == 13: current += self.unlexer.For() elif choice == 14: current += self.unlexer.Switch() elif choice == 15: current += self.unlexer.While() elif choice == 16: current += self.unlexer.Debugger() elif choice == 17: current += self.unlexer.Function() elif choice == 18: current += self.unlexer.This() elif choice == 19: current += self.unlexer.With() elif choice == 20: current += self.unlexer.Default() elif choice == 21: current += self.unlexer.If() elif choice == 22: current += self.unlexer.Throw() elif choice == 23: current += self.unlexer.Delete() elif choice == 24: current += self.unlexer.In() elif choice == 25: current += self.unlexer.Try() return current keyword.min_depth = 1 @depthcontrol def futureReservedWord(self): current = self.create_node(UnparserRule(name='futureReservedWord')) choice = self.choice([0 if [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1][i] > self.unlexer.max_depth else w for i, w in enumerate([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])]) if choice == 0: current += self.unlexer.Class() elif choice == 1: current += self.unlexer.Enum() elif choice == 2: current += self.unlexer.Extends() elif choice == 3: current += self.unlexer.Super() elif choice == 4: current += self.unlexer.Const() elif choice == 5: current += self.unlexer.Export() elif choice == 6: current += self.unlexer.Import() elif choice == 7: current += self.unlexer.Implements() elif choice == 8: current += self.unlexer.Let() elif choice == 9: current += self.unlexer.Private() elif choice == 10: current += self.unlexer.Public() elif choice == 11: current += self.unlexer.Interface() elif choice == 12: current += self.unlexer.Package() elif choice == 13: current += self.unlexer.Protected() elif choice == 14: current += self.unlexer.Static() elif choice == 15: current += self.unlexer.Yield() return current futureReservedWord.min_depth = 1 @depthcontrol def getter(self): current = self.create_node(UnparserRule(name='getter')) current += self.unlexer.Identifier() current += self.propertyName() return current getter.min_depth = 2 @depthcontrol def setter(self): current = self.create_node(UnparserRule(name='setter')) current += self.unlexer.Identifier() current += self.propertyName() return current setter.min_depth = 2 @depthcontrol def eos(self): current = self.create_node(UnparserRule(name='eos')) choice = self.choice([0 if [1, 1, 0, 0][i] > self.unlexer.max_depth else w for i, w in enumerate([1, 1, 1, 1])]) if choice == 0: current += self.unlexer.SemiColon() elif choice == 1: current += self.unlexer.EOF() elif choice == 2: pass elif choice == 3: pass return current eos.min_depth = 0 @depthcontrol def eof(self): current = self.create_node(UnparserRule(name='eof')) current += self.unlexer.EOF() return current eof.min_depth = 1 default_rule = program

38.819231

318

0.570271

4,251

40,372

5.318749

0.042343

0.216497

0.127068

0.156966

0.814153

0.703582

0.630119

0.522468

0.493852

0.47364

0

0.023256

0.302363

40,372

1,039

319

38.856593

0.779514

0.000768

0

0.689434

1

0

0.02189

0.00176

0

1

0.059765

false

0.002134

0.004269

0

0.124867

0

null

1

0

1

0

1

0

null

0

4

4fba4d67b134d7addd79973a9be2fba674cdf649

108

py

Python

exampleMain.py

marcoprenassi/medical_informatics_examples

d58c6074e18063578b64e874f3a92eda31546cdb

[ "MIT" ]

null

exampleMain.py

marcoprenassi/medical_informatics_examples

d58c6074e18063578b64e874f3a92eda31546cdb

[ "MIT" ]

null

exampleMain.py

marcoprenassi/medical_informatics_examples

d58c6074e18063578b64e874f3a92eda31546cdb

[ "MIT" ]

null

import UMLS_Api_search_example as UAex if __name__ == '__main__': UAex.runExample("[INSERT API HERE]")

21.6

40

0.740741

15

108

4.6

0.866667

0

0.148148

108

4

41

27

0.75

0

0.231481

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

1

0

4

4fbbc39f5b64d4fcd299e8d9717c38c66a7f8e51

8,448

py

Python

biosimulators_test_suite/test_case/cli.py

Ryannjordan/Biosimulators_test_suite

5f79f157ee8927df277b1967e9409ccfc6baf45f

[ "CC0-1.0", "MIT" ]

null

biosimulators_test_suite/test_case/cli.py

Ryannjordan/Biosimulators_test_suite

5f79f157ee8927df277b1967e9409ccfc6baf45f

[ "CC0-1.0", "MIT" ]

null

biosimulators_test_suite/test_case/cli.py

Ryannjordan/Biosimulators_test_suite

5f79f157ee8927df277b1967e9409ccfc6baf45f

[ "CC0-1.0", "MIT" ]

null

""" Methods for test cases involving checking command-line interfaces :Author: Jonathan Karr <karr@mssm.edu> :Date: 2020-12-21 :Copyright: 2020, Center for Reproducible Biomedical Modeling :License: MIT """ from ..data_model import TestCase from ..warnings import TestCaseWarning from biosimulators_utils.simulator.environ import ENVIRONMENT_VARIABLES import re import subprocess import warnings __all__ = [ 'CliDisplaysHelpInline', 'CliDescribesSupportedEnvironmentVariablesInline', 'CliDisplaysVersionInformationInline', ] class CliDisplaysHelpInline(TestCase): """ Test that a command-line interface provides inline help. """ def eval(self, specifications, synthetic_archives_dir=None, dry_run=False, cli=None): """ Evaluate a simulator's performance on a test case Args: specifications (:obj:`dict`): specifications of the simulator to validate synthetic_archives_dir (:obj:`str`, optional): Directory to save the synthetic COMBINE/OMEX archives generated by the test cases dry_run (:obj:`bool`): if :obj:`True`, do not use the simulator to execute COMBINE/OMEX archives. cli (:obj:`str`, optional): command-line interface to use to execute the tests involving the simulation of COMBINE/OMEX archives rather than a Docker image Raises: :obj:`Exception`: if the simulator did not pass the test case """ self.get_simulator_docker_image(specifications) image_url = specifications['image']['url'] cli = [cli] if cli else ['docker', 'run', '--tty', '--rm', image_url] result = subprocess.run(cli, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) log = result.stdout.decode() if result.stdout else '' supported = ( '-i' in log and '-o' in log ) if not supported: warnings.warn(('Command-line interfaces should display basic help when no arguments are provided.\n\n' 'The command-line interface displayed the following when no argument was provided:\n\n {}' ).format(log.replace('\n', '\n ')), TestCaseWarning) result = subprocess.run(cli + ['-h'], stdout=subprocess.PIPE, stderr=subprocess.STDOUT) log = result.stdout.decode() if result.stdout else '' supported = ( 'arguments' in log and '-i' in log and '--archive' in log and '-o' in log and '--out-dir' in log ) if not supported: warnings.warn(('Command-line interface should support the `-h` option for displaying help inline.\n\n' 'The command-line interface displayed the following when executed with `-h`:\n\n {}' ).format(log.replace('\n', '\n ')), TestCaseWarning) result = subprocess.run(cli + ['--help'], stdout=subprocess.PIPE, stderr=subprocess.STDOUT) log = result.stdout.decode() if result.stdout else '' supported = ( 'arguments' in log and '-i' in log and '--archive' in log and '-o' in log and '--out-dir' in log ) if not supported: warnings.warn(('Command-line interface should support the `--help` option for displaying help inline.\n\n' 'The command-line interface displayed the following when executed with `--help`:\n\n {}' ).format(log.replace('\n', '\n ')), TestCaseWarning) class CliDescribesSupportedEnvironmentVariablesInline(TestCase): """ Test that the inline help for a command-line interface describes the environment variables that the simulator supports. """ def eval(self, specifications, synthetic_archives_dir=None, dry_run=False, cli=None): """ Evaluate a simulator's performance on a test case Args: specifications (:obj:`dict`): specifications of the simulator to validate synthetic_archives_dir (:obj:`str`, optional): Directory to save the synthetic COMBINE/OMEX archives generated by the test cases dry_run (:obj:`bool`): if :obj:`True`, do not use the simulator to execute COMBINE/OMEX archives. cli (:obj:`str`, optional): command-line interface to use to execute the tests involving the simulation of COMBINE/OMEX archives rather than a Docker image Raises: :obj:`Exception`: if the simulator did not pass the test case """ self.get_simulator_docker_image(specifications) image_url = specifications['image']['url'] cli = [cli] if cli else ['docker', 'run', '--tty', '--rm', image_url] result = subprocess.run(cli + [' -h'], stdout=subprocess.PIPE, stderr=subprocess.STDOUT) log = result.stdout.decode() if result.stdout else '' potentially_missing_env_vars = [] for var in ENVIRONMENT_VARIABLES.values(): if var.name not in log: potentially_missing_env_vars.append(var.name) if potentially_missing_env_vars: msg = ('The inline help for a command-line interface for a simulation tool should describe the ' 'environment variables that the simulation tool supports.\n\n' 'The command-line interface does not describe the following standard environment ' 'variables recognized by BioSimulators:\n - {}\n\n' 'If the simulation tool implements these variables, they should be described in the inline help for ' 'its command-line interface.\n\n' 'Note, support for these environment variables is optional. Simulation tools are not required to support ' 'these variables.' ).format('\n - '.join("'" + var + "'" for var in sorted(potentially_missing_env_vars))) warnings.warn(msg, TestCaseWarning) class CliDisplaysVersionInformationInline(TestCase): """ Test that a command-line interface provides version information inline. """ def eval(self, specifications, synthetic_archives_dir=None, dry_run=False, cli=None): """ Evaluate a simulator's performance on a test case Args: specifications (:obj:`dict`): specifications of the simulator to validate synthetic_archives_dir (:obj:`str`, optional): Directory to save the synthetic COMBINE/OMEX archives generated by the test cases dry_run (:obj:`bool`): if :obj:`True`, do not use the simulator to execute COMBINE/OMEX archives. cli (:obj:`str`, optional): command-line interface to use to execute the tests involving the simulation of COMBINE/OMEX archives rather than a Docker image Raises: :obj:`Exception`: if the simulator did not pass the test case """ self.get_simulator_docker_image(specifications) image_url = specifications['image']['url'] cli = [cli] if cli else ['docker', 'run', '--tty', '--rm', image_url] result = subprocess.run(cli + ['-v'], stdout=subprocess.PIPE, stderr=subprocess.STDOUT) log = result.stdout.decode() if result.stdout else '' supported = re.search(r'\d+\.\d+', log) if not supported: warnings.warn(('Command-line interface should support the `-v` option for displaying version information inline.\n\n' 'The command-line interface displayed the following when executed with `-v`:\n\n {}' ).format(log.replace('\n', '\n ')), TestCaseWarning) result = subprocess.run(cli + ['--version'], stdout=subprocess.PIPE, stderr=subprocess.STDOUT) log = result.stdout.decode() if result.stdout else '' supported = re.search(r'\d+\.\d+', log) if not supported: warnings.warn(('Command-line interface should support the `--version` option for displaying version information inline.\n\n' 'The command-line interface displayed the following when executed with `--version`:\n\n {}' ).format(log.replace('\n', '\n ')), TestCaseWarning)

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null

0

4

4fccde0990616a0b7cd8bff73f531e7de8b4cd4b

104

py

Python

senseTk/__main__.py

Helicopt/senseToolkit

1630ec3f03368980a13f448b3be554efe44ec7cb

[ "MIT" ]

2

2018-07-30T03:54:58.000Z

2018-12-17T16:09:06.000Z

senseTk/__main__.py

Helicopt/senseToolkit

1630ec3f03368980a13f448b3be554efe44ec7cb

[ "MIT" ]

null

senseTk/__main__.py

Helicopt/senseToolkit

1630ec3f03368980a13f448b3be554efe44ec7cb

[ "MIT" ]

null

import senseTk if __name__ == '__main__': print('senseToolkit version %s' % (senseTk.__version__))

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null

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1

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1

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4

4fd725c7e36bdf921e72caea11e281c8604d9e0c

162

py

Python

ddtrace/settings/exceptions.py

zhammer/dd-trace-py

4c30f6e36bfa34a63cd9b6884677c977f76d2a01

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

5

2020-03-07T01:12:29.000Z

2021-04-21T00:53:19.000Z

ddtrace/settings/exceptions.py

zhammer/dd-trace-py

4c30f6e36bfa34a63cd9b6884677c977f76d2a01

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

4

2019-11-22T20:58:01.000Z

2020-08-17T21:16:13.000Z

ddtrace/settings/exceptions.py

zhammer/dd-trace-py

4c30f6e36bfa34a63cd9b6884677c977f76d2a01

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

3

2020-03-18T16:29:20.000Z

2020-07-20T16:05:10.000Z

class ConfigException(Exception): """Configuration exception when an integration that is not available is called in the `Config` object. """ pass

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null

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4

8b19b972799065a94e862c4a6509deba577bacc9

51

py

Python

pylint/examples/with_issues/example.py

strangeworks/cloud-builders-community

5446da8d200898b1ea3026259ab593b4c57a4569

[ "Apache-2.0" ]

null

pylint/examples/with_issues/example.py

strangeworks/cloud-builders-community

5446da8d200898b1ea3026259ab593b4c57a4569

[ "Apache-2.0" ]

null

pylint/examples/with_issues/example.py

strangeworks/cloud-builders-community

5446da8d200898b1ea3026259ab593b4c57a4569

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 print("useless script")

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1

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1

0

4

8b25cfdd6a9f5af0527bf3b2cd5c3142fa2734ed

69

py

Python

src/optopus/__init__.py

hindman/optopus

daaba31c6b1bd4f56e442326e36f7b3ea0b74b15

[ "MIT" ]

2

2021-05-04T23:44:42.000Z

2021-07-25T20:45:33.000Z

src/optopus/__init__.py

hindman/optopus

daaba31c6b1bd4f56e442326e36f7b3ea0b74b15

[ "MIT" ]

null

src/optopus/__init__.py

hindman/optopus

daaba31c6b1bd4f56e442326e36f7b3ea0b74b15

[ "MIT" ]

null

from .parser import Parser, Result from .version import __version__

17.25

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5.777778

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283,339

py

Python

src/service/picture_rc.py

NoOneXXX/magic-wormhole-client

6b8bebebdf058d66fa4e519092558e8d95090c58

[ "MIT" ]

null

src/service/picture_rc.py

NoOneXXX/magic-wormhole-client

6b8bebebdf058d66fa4e519092558e8d95090c58

[ "MIT" ]

null

src/service/picture_rc.py

NoOneXXX/magic-wormhole-client

6b8bebebdf058d66fa4e519092558e8d95090c58

[ "MIT" ]

null

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\x9d\x29\xb9\x58\xfe\x3f\xf4\x30\x53\x09\x8c\xc6\xc8\x74\x5a\x6e\ \xff\xf6\x48\xee\x76\xa9\x9c\x56\x55\x80\x0d\xc3\x80\x8c\x53\x52\ \x7c\xeb\xbb\xa6\x39\xff\xb7\x53\xaa\x9b\x9b\xab\x53\x6c\xe7\x91\ \xa8\xfd\x37\x4f\xba\xbd\x9d\xad\x58\x75\x73\x70\xf9\x5f\x5e\x55\ \x55\x36\x0a\x48\x58\xce\xc9\xeb\x89\xb7\x6e\x25\xae\xed\xab\x8b\ \x5d\xff\x3f\x98\xa8\xa9\x99\x59\x79\xc2\x3d\x00\x00\x00\x00\x49\ \x45\x4e\x44\xae\x42\x60\x82\ " qt_resource_name = b"\ \x00\x03\ \x00\x00\x76\xf3\ \x00\x70\ \x00\x69\x00\x63\ \x00\x07\ \x06\xfa\xbc\x65\ \x00\x70\ \x00\x69\x00\x63\x00\x74\x00\x75\x00\x72\x00\x65\ \x00\x12\ \x0d\xd0\x41\xc7\ \x00\x69\ \x00\x6d\x00\x67\x00\x5f\x00\x62\x00\x75\x00\x74\x00\x74\x00\x6f\x00\x6e\x00\x5f\x00\x72\x00\x65\x00\x63\x00\x2e\x00\x70\x00\x6e\ \x00\x67\ \x00\x0d\ \x07\x0b\xdb\xc7\ \x00\x69\ \x00\x63\x00\x6f\x00\x6e\x00\x5f\x00\x73\x00\x65\x00\x6e\x00\x64\x00\x2e\x00\x70\x00\x6e\x00\x67\ \x00\x0f\ \x02\x63\x67\x67\ \x00\x69\ \x00\x6d\x00\x67\x00\x5f\x00\x74\x00\x61\x00\x62\x00\x5f\x00\x72\x00\x65\x00\x63\x00\x2e\x00\x70\x00\x6e\x00\x67\ \x00\x0c\ \x04\x81\x3c\x9f\ \x00\x70\ \x00\x69\x00\x65\x00\x63\x00\x61\x00\x73\x00\x73\x00\x6f\x00\x2e\x00\x69\x00\x63\x00\x6f\ \x00\x10\ \x08\x97\x05\x67\ \x00\x69\ \x00\x63\x00\x6f\x00\x6e\x00\x5f\x00\x6c\x00\x6f\x00\x67\x00\x67\x00\x69\x00\x6e\x00\x67\x00\x2e\x00\x70\x00\x6e\x00\x67\ " qt_resource_struct_v1 = b"\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x01\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x02\ \x00\x00\x00\x0c\x00\x02\x00\x00\x00\x05\x00\x00\x00\x03\ \x00\x00\x00\x6a\x00\x00\x00\x00\x00\x01\x00\x00\x75\x6f\ \x00\x00\x00\x8e\x00\x01\x00\x00\x00\x01\x00\x00\xdd\x0f\ \x00\x00\x00\x4a\x00\x01\x00\x00\x00\x01\x00\x00\x6c\x1d\ \x00\x00\x00\xac\x00\x00\x00\x00\x00\x01\x00\x01\x00\x8f\ \x00\x00\x00\x20\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\ " qt_resource_struct_v2 = b"\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x01\ \x00\x00\x00\x00\x00\x00\x00\x00\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x02\ \x00\x00\x00\x00\x00\x00\x00\x00\ \x00\x00\x00\x0c\x00\x02\x00\x00\x00\x05\x00\x00\x00\x03\ \x00\x00\x00\x00\x00\x00\x00\x00\ \x00\x00\x00\x6a\x00\x00\x00\x00\x00\x01\x00\x00\x75\x6f\ \x00\x00\x01\x7b\x8e\xdc\x2e\x23\ \x00\x00\x00\x8e\x00\x01\x00\x00\x00\x01\x00\x00\xdd\x0f\ \x00\x00\x01\x72\x32\x41\x64\xf0\ \x00\x00\x00\x4a\x00\x01\x00\x00\x00\x01\x00\x00\x6c\x1d\ \x00\x00\x01\x79\x32\x56\xcd\x20\ \x00\x00\x00\xac\x00\x00\x00\x00\x00\x01\x00\x01\x00\x8f\ \x00\x00\x01\x79\x32\x56\xcd\x20\ \x00\x00\x00\x20\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\ \x00\x00\x01\x7b\x8e\xd9\xb8\x5b\ " qt_version = [int(v) for v in QtCore.qVersion().split('.')] if qt_version < [5, 8, 0]: rcc_version = 1 qt_resource_struct = qt_resource_struct_v1 else: rcc_version = 2 qt_resource_struct = qt_resource_struct_v2 def qInitResources(): QtCore.qRegisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data) def qCleanupResources(): QtCore.qUnregisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data) qInitResources()

65.135402

129

0.727154

68,594

283,339

3.003076

0.004476

0.006408

0.009437

0.012525

0.328205

0.302355

0.278611

0.263509

0.248494

0.232357

0

0.295555

0.01566

283,339

4,349

130

65.150379

0.44303

0.000536

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0.05562

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0.98523

0.000004

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1

0.000462

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0

null

0

1

0

1

0

1

0

null

1

0

4

8c6abb2cc48a060bc29fbb9ab48584013b7a0a33

121

py

Python

trinity/components/builtin/upnp/events.py

onyb/trinity

347e2beac23c5c1bb4aab136bb44c162467f6ff7

[ "MIT" ]

null

trinity/components/builtin/upnp/events.py

onyb/trinity

347e2beac23c5c1bb4aab136bb44c162467f6ff7

[ "MIT" ]

null

trinity/components/builtin/upnp/events.py

onyb/trinity

347e2beac23c5c1bb4aab136bb44c162467f6ff7

[ "MIT" ]

null

from dataclasses import dataclass from lahja import BaseEvent @dataclass class NewUPnPMapping(BaseEvent): ip: str

13.444444

33

0.793388

14

121

6.857143

0.714286

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0.165289

121

8

34

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0

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0

true

0

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null

0

1

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null

0

1

0

1

0

4

8cea1e3a37d9a781638564690e38de965b9f82ad

106

py

Python

apps.py

qcoumes/django-dummy-app

e53266e4128cfada992e0d5938083603b25c4e84

[ "MIT" ]

null

apps.py

qcoumes/django-dummy-app

e53266e4128cfada992e0d5938083603b25c4e84

[ "MIT" ]

null

apps.py

qcoumes/django-dummy-app

e53266e4128cfada992e0d5938083603b25c4e84

[ "MIT" ]

null

from django.apps import AppConfig class DummyAppConfigConfig(AppConfig): name = 'django_dummy_app'

15.142857

38

0.783019

12

106

6.75

0.833333

0

0.150943

106

6

39

17.666667

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0.150943

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1

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false

0

0.333333

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1

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null

0

1

0

null

0

1

0

1

0

4

8cef6e357eeb4cff94f77de03b2338959c11b5e2

1,347

py

Python

numpytorch/losses.py

Samyak2/numpytorch

b508c8c2169c6c94f5bee915a12beff0790da5f8

[ "MIT" ]

2

2021-04-14T07:14:50.000Z

2021-04-14T17:22:55.000Z

numpytorch/losses.py

Samyak2/numpytorch

b508c8c2169c6c94f5bee915a12beff0790da5f8

[ "MIT" ]

null

numpytorch/losses.py

Samyak2/numpytorch

b508c8c2169c6c94f5bee915a12beff0790da5f8

[ "MIT" ]

null

import numpy as np EPS = 1e-06 class Loss: """Generic class to define a loss function""" def __init__(self): pass def __call__(self, y_real: np.ndarray, y_pred: np.ndarray) -> np.ndarray: return self.forward(y_real, y_pred) def forward(self, y_real: np.ndarray, y_pred: np.ndarray) -> np.ndarray: """Calculates and returns the loss value.""" raise NotImplementedError( "Forward pass of this loss function has not been implemented" ) def backward(self, y_real: np.ndarray, y_pred: np.ndarray) -> np.ndarray: """Calculates the gradient of the output predictions""" raise NotImplementedError( "Backward pass of this loss function has not been implemented" ) class BinaryCrossEntropy(Loss): """Binary Cross Entropy loss used for binary classification Calculates negative log likelihood i.e., the entropy between the real distribution and the predicted distribution. """ def forward(self, y_real: np.ndarray, y_pred: np.ndarray) -> np.ndarray: return -( y_real * np.log(y_pred + EPS) + (1 - y_real) * np.log(1 - y_pred + EPS) ) def backward(self, y_real: np.ndarray, y_pred: np.ndarray) -> np.ndarray: return -(y_real / (y_pred + EPS)) + (1 - y_real) / (1 - y_pred + EPS)

32.071429

83

0.639941

186

1,347

4.483871

0.311828

0.161871

0.058753

0.065947

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0.456835

0.353717

0

0.006958

0.253155

1,347

41

84

32.853659

0.822068

0.22346

0

0.272727

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0.117589

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0.272727

false

0.136364

0.045455

0.136364

0.545455

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null

0

null

0

1

0

1

0

1

0

4

507af7b7c926d5ad374babb7e525c9985c6d28d6

155

py

Python

test/__init__.py

gjhiggins/rdflib-sqlalchemy

d4c057934cd2675083d3df943103bdffb20341d4

[ "BSD-3-Clause" ]

112

2015-02-21T15:56:34.000Z

2022-02-22T12:10:26.000Z

test/__init__.py

gjhiggins/rdflib-sqlalchemy

d4c057934cd2675083d3df943103bdffb20341d4

[ "BSD-3-Clause" ]

64

2015-01-22T12:40:11.000Z

2021-12-27T19:15:14.000Z

test/__init__.py

gjhiggins/rdflib-sqlalchemy

d4c057934cd2675083d3df943103bdffb20341d4

[ "BSD-3-Clause" ]

28

2015-06-22T08:06:58.000Z

2022-02-16T11:17:49.000Z

from rdflib import plugin from rdflib import store plugin.register( "SQLAlchemy", store.Store, "rdflib_sqlalchemy.store", "SQLAlchemy", )

15.5

30

0.703226

17

155

6.352941

0.411765

0.185185

0.296296

0

0.2

155

9

31

17.222222

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0.25

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0

1

0

1

0

null

0

1

0

4

50a50aa1a40424c9e929c23a7eb5cdd5ccf71c81

120

py

Python

distopia/mapping/__init__.py

kevinguo344/distopia

077dd3501bd43565d1a9647a151fb20b90b71a54

[ "MIT" ]

null

distopia/mapping/__init__.py

kevinguo344/distopia

077dd3501bd43565d1a9647a151fb20b90b71a54

[ "MIT" ]

7

2019-07-11T04:19:01.000Z

2019-10-31T15:26:49.000Z

distopia/mapping/__init__.py

kevinguo344/distopia

077dd3501bd43565d1a9647a151fb20b90b71a54

[ "MIT" ]

4

2018-10-29T20:32:03.000Z

2019-10-02T03:15:57.000Z

""" District Mapping ================ Defines the algorithms that perform the mapping from precincts to districts. """

17.142857

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0.666667

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120

6.153846

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0.141667

120

6

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null

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null

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null

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1

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1

0

null

0

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4

50acfb5ef2c2292d0cbbb5ceac5eacf6da2c2045

139

py

Python

test cases/windows/10 vs module defs generated custom target/subdir/make_def.py

kira78/meson

0ae840656c5b87f30872072aa8694667c63c96d2

[ "Apache-2.0" ]

4,047

2015-06-18T10:36:48.000Z

2022-03-31T09:47:02.000Z

test cases/windows/10 vs module defs generated custom target/subdir/make_def.py

kira78/meson

0ae840656c5b87f30872072aa8694667c63c96d2

[ "Apache-2.0" ]

8,206

2015-06-14T12:20:48.000Z

2022-03-31T22:50:37.000Z

test cases/windows/10 vs module defs generated custom target/subdir/make_def.py

kira78/meson

0ae840656c5b87f30872072aa8694667c63c96d2

[ "Apache-2.0" ]

1,489

2015-06-27T04:06:38.000Z

2022-03-29T10:14:48.000Z

#!/usr/bin/env python3 import sys with open(sys.argv[1], 'w') as f: print('EXPORTS', file=f) print(' somedllfunc', file=f)

19.857143

40

0.597122

22

139

3.772727

0.772727

0.144578

0

0.018349

0.215827

139

6

41

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0.743119

0.151079

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true

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0.25

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0.25

0.5

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null

0

1

0

null

0

1

0

1

0

4

50d58d7591d92e204d555b99d0383a3caa6df18d

240

py

Python

lnc/lib/exceptions.py

atrosinenko/lecture-notes-compiler

40764c48664cec2001f1a5cbfa579ae970af0dac

[ "MIT" ]

3

2015-09-10T16:10:57.000Z

2016-12-03T01:49:28.000Z

lnc/lib/exceptions.py

atrosinenko/lecture-notes-compiler

40764c48664cec2001f1a5cbfa579ae970af0dac

[ "MIT" ]

null

lnc/lib/exceptions.py

atrosinenko/lecture-notes-compiler

40764c48664cec2001f1a5cbfa579ae970af0dac

[ "MIT" ]

null

class ProgramError(Exception): """Generic exception class for errors in this program.""" pass class PluginError(ProgramError): pass class NoOptionError(ProgramError): pass class ExtCommandError(ProgramError): pass

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24

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7.291667

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0.24

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0.191667

240

15

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0.2125

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0.5

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null

0

1

0

null

0

1

0

4

0fa1f574a4f8141432aee6c23b38e68e734cc0ee

98

py

Python

Main.py

mriduldhall/tic-tac-toe

9487949edf84fddcdde09bdb8cb04dbfdc5f8faf

[ "MIT" ]

null

Main.py

mriduldhall/tic-tac-toe

9487949edf84fddcdde09bdb8cb04dbfdc5f8faf

[ "MIT" ]

null

Main.py

mriduldhall/tic-tac-toe

9487949edf84fddcdde09bdb8cb04dbfdc5f8faf

[ "MIT" ]

null

from Interfaces.CommandLineInterface import CLI if __name__ == '__main__': CLI().initiate()

16.333333

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0.734694

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6.4

0.9

0

0.153061

98

5

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true

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null

0

1

0

1

0

4

0fae0ba2824dc5a926e2388c414dc0455b2ced7b

7,293

py

Python

2021/22/22b.py

kristianwiklund/AOC

be2f2e3a97b775281382dca8ea34a6522571052a

[ "MIT" ]

3

2020-12-02T18:18:05.000Z

2021-12-03T18:39:26.000Z

2021/22/22b.py

kristianwiklund/AOC

be2f2e3a97b775281382dca8ea34a6522571052a

[ "MIT" ]

null

2021/22/22b.py

kristianwiklund/AOC

be2f2e3a97b775281382dca8ea34a6522571052a

[ "MIT" ]

null

#!/usr/bin/python3 import sys import cut from box import Box from reactor import Reactor from termcolor import colored # -- assert helper def check(what,output,f=None): try: assert(what) except: print("Assert failed, debug output: ",end="") print(output) if f is not None: f() sys.exit() # -- end assert helper # --- test cases print (colored("Testcase 1: adding two identical boxes results in only one box","red")) R = Reactor() R += Box("on x=1..3,y=1..3,z=1..3") R += Box("on x=1..3,y=1..3,z=1..3") assert(R.realcubes.__repr__()=="[on x=1..3,y=1..3,z=1..3]") print (colored("Testcase 2: adding various boxes that overlap but are on the edge with the first, also result in only one box","red")) R = Reactor() R += Box("on x=1..3,y=1..3,z=1..3") print (colored(" 2a: check that adding sliver on x doesn't cause more boxes","yellow")) R += Box("on x=1..1,y=1..3,z=1..3") check(R.realcubes.__repr__()=="[on x=1..3,y=1..3,z=1..3]",[R.size(),R.realcubes,[i.size() for i in R.realcubes]],f=lambda : R.savefig()) print (colored(" 2c: check that adding sliver on z doesn't cause more boxes ","yellow")) R += Box("on x=1..3,y=1..3,z=1..1") check(R.realcubes.__repr__()=="[on x=1..3,y=1..3,z=1..3]",[R.size(),R.realcubes,[i.size() for i in R.realcubes]],f=lambda : R.savefig()) print (colored(" 2b: check that adding sliver on y doesn't cause more boxes","yellow")) R += Box("on x=1..3,y=1..1,z=1..3") check(R.realcubes.__repr__()=="[on x=1..3,y=1..3,z=1..3]",[R.size(),R.realcubes,[i.size() for i in R.realcubes]],f=lambda : R.savefig()) print (colored("Testcase 3: merge on X edge"),"red") R = Reactor() R += Box("on x=1..1,y=1..1,z=1..1") R += Box("on x=2..3,y=1..1,z=1..1") assert(R.realcubes.__repr__()=="[on x=1..3,y=1..1,z=1..1]") print ("Testcase 4: merge on Y edge") R += Box("on x=1..3,y=2..3,z=1..1") assert(R.realcubes.__repr__()=="[on x=1..3,y=1..3,z=1..1]") print ("Testcase 5: merge on Z edge") R += Box("on x=1..3,y=1..3,z=2..3") assert(R.realcubes.__repr__()=="[on x=1..3,y=1..3,z=1..3]") print ("Testcase 6: merge on (reverse) X edge") R = Reactor() R += Box("on x=2..3,y=2..3,z=2..3") R += Box("on x=1..1,y=2..3,z=2..3") assert(R.realcubes.__repr__()=="[on x=1..3,y=2..3,z=2..3]") print ("Testcase 7: merge on (reverse) Y edge") R += Box("on x=1..3,y=1..1,z=2..3") assert(R.realcubes.__repr__()=="[on x=1..3,y=1..3,z=2..3]") print ("Testcase 8: merge on (reverse) Z edge") R += Box("on x=1..3,y=1..3,z=1..1") assert(R.realcubes.__repr__()=="[on x=1..3,y=1..3,z=1..3]") print (colored("Testcase 9a: Remove a 1x1x1 cube from a 3x3x3 cube","red")) R = Reactor() R += Box("on x=1..3,y=1..3,z=1..3") assert(R.size()==27) R += Box("off x=1..1,y=1..1,z=1..1") check(R.size()==26,[R.size(),R.realcubes],f=lambda : R.savefig()) print (colored("Testcase 9b: Remove a 1x1x1 cube from a 3x3x3 cube","red")) R = Reactor() R += Box("on x=1..3,y=1..3,z=1..3") assert(R.size()==27) R += Box("off x=3..3,y=3..3,z=3..3") check(R.size()==26,[R.size(),R.realcubes],f=lambda : R.savefig()) print (colored("Testcase 9c: Remove a 1x1x1 cube from a 3x3x3 cube","red")) R = Reactor() R += Box("on x=1..3,y=1..3,z=1..3") assert(R.size()==27) R += Box("off x=2..2,y=2..2,z=2..2") check(R.size()==26,[R.size(),R.realcubes],f=lambda : R.savefig()) print (colored("Testcase 10x: Remove a slab from the upper end of a slab","red")) R = Reactor() R += Box("on x=1..3,y=1..1,z=1..1") assert(R.size()==3) R += Box("off x=3..3,y=1..1,z=1..1") check(R.size()==2,[R.size(),R.realcubes],f=lambda : R.savefig()) print (colored("Testcase 10y: Remove a slab from the upper end of a slab","red")) R = Reactor() R += Box("on x=1..1,y=1..3,z=1..1") assert(R.size()==3) R += Box("off x=1..1,y=3..3,z=1..1") check(R.size()==2,[R.size(),R.realcubes],f=lambda : R.savefig()) print (colored("Testcase 10z: Remove a slab from the upper end of a slab","red")) R = Reactor() R += Box("on x=1..1,y=1..1,z=1..3") assert(R.size()==3) R += Box("off x=1..1,y=1..1,z=3..3") check(R.size()==2,[R.size(),R.realcubes],f=lambda : R.savefig()) print (colored("Testcase 10xy: Remove a corner from the upper end of a slab","red")) R = Reactor() R += Box("on x=1..3,y=1..3,z=1..1") assert(R.size()==9) R += Box("off x=3..3,y=3..3,z=1..1") check(R.size()==8,[R.size(),R.realcubes],f=lambda : R.savefig()) print (colored("Testcase 10xy: Remove a corner from the upper end of a cube","red")) R = Reactor() R += Box("on x=1..3,y=1..3,z=1..3") assert(R.size()==27) R += Box("off x=3..3,y=3..3,z=3..3") check(R.size()==26,[R.size(),R.realcubes],f=lambda : R.savefig()) print (colored("Testcase 10x-x: Remove a smaller part of the blob","red")) R = Reactor() R+= Box("on x=1..4,y=1..1,z=1..1") R+= Box("off x=2..3,y=1..1,z=1..1") check(R.size()==2,[R.size(),R.realcubes,[i.size() for i in R.realcubes]],f=lambda : R.savefig()) print (colored("Testcase 10y-y: Remove a smaller part of the blob","red")) R = Reactor() R+= Box("on x=1..1,y=1..4,z=1..1") R+= Box("off x=1..1,y=2..3,z=1..1") check(R.size()==2,[R.size(),R.realcubes,[i.size() for i in R.realcubes]],f=lambda : R.savefig()) print (colored("Testcase 10z-z: Remove a smaller part of the blob","red")) R = Reactor() R+= Box("on x=1..1,y=1..1,z=1..4") R+= Box("off x=1..1,y=1..1,z=2..3") check(R.size()==2,[R.size(),R.realcubes,[i.size() for i in R.realcubes]],f=lambda : R.savefig()) # ----------------- print (colored("Testcase 10xyz: Remove a part of a blob","red")) # off x=9..11,y=9..11,z=9..11 from on x=10..10,y=10..12,z=10..12 R = Reactor() R+=Box("on x=10..10,y=10..12,z=10..12") R+=Box("off x=11..11,y=9..11,z=9..11") R.savefig() sys.exit() # ----------------- print(colored("Testcase 11, deconstructed","green")) R = Reactor() # steps 11a and 11b results in these cubes a=Box("on x=10..10,y=10..12,z=10..12") a.id="[1]" b=Box("on x=11..12,y=10..10,z=10..12") b.id="[2]" c=Box("on x=11..12,y=11..12,z=10..10") c.id="[3]" d=Box("on x=11..13,y=11..13,z=11..13") d.id="[4]" R+=a #R+=b #R+=c #R+=d # steps 11c removes a cube e=Box("off x=9..11,y=9..11,z=9..11") e.id="[5]" R+=e R.savefig() sys.exit() print (colored("Testcase 11 : First example from AOC","red")) R=Reactor() print (" 11a: Check that first cube is size 27") a=Box("on x=10..12,y=10..12,z=10..12") a.id="Box1" R+=a assert(R.size()==27) b = Box("on x=11..13,y=11..13,z=11..13") b.id = "Box2" R+=b print (" 11b: Check that merging two cubes result in the correct size ("+str(27+19)+")") check(R.size()==27+19,[R.size(),R.realcubes,[i.size() for i in R.realcubes]],f=lambda : R.savefig()) c = Box("off x=9..11,y=9..11,z=9..11") c.id = "Box3" R+=c print (" 11c: Check that removing a cube result in the correct size ("+str(27+19-8)+")") check(R.size()==27+19-8,[R.size(),R.realcubes,[i.size() for i in R.realcubes]],f=lambda : R.savefig()) print (" 11d: Check that adding a cube result in the correct size ("+str(39)+")") R+=Box("on x=10..10,y=10..10,z=10..10") assert(R.size()==39) sys.exit() # - finally, read input from stdin and solve the problem R = Reactor() def readinaTOR(): RR = Reactor() for l in sys.stdin: l = l.strip() b = Box(l) RR = RR + b return RR

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