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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
e4c6e091a5e20c2729b93315fc91dba947b11aa0 | 2,884 | py | Python | examples/pygame-button-interrupt.py | pimoroni/displayhatmini-python | f72246fd6be8ce850da4590a1de66547e8165b4b | [
"MIT"
] | 6 | 2021-10-31T21:29:25.000Z | 2022-01-12T05:38:00.000Z | examples/pygame-button-interrupt.py | pimoroni/displayhatmini-python | f72246fd6be8ce850da4590a1de66547e8165b4b | [
"MIT"
] | 9 | 2021-11-08T12:15:58.000Z | 2022-02-15T18:13:03.000Z | examples/pygame-button-interrupt.py | pimoroni/displayhatmini-python | f72246fd6be8ce850da4590a1de66547e8165b4b | [
"MIT"
] | 1 | 2021-12-23T22:02:19.000Z | 2021-12-23T22:02:19.000Z | #!/usr/bin/env python3
import os
import sys
import signal
import pygame
import time
import math
from threading import Lock
from displayhatmini import DisplayHATMini
print("""Display HAT Mini: Basic Pygame Demo""")
if pygame.vernum < (2, 0, 0):
print("Need PyGame >= 2.0.0:\n python3 -m pip install pygame --up... | 28.27451 | 91 | 0.648752 |
f69f004a7d5a61c8f9e0c32ca344c4b266469aa0 | 1,006 | py | Python | python/web_server.py | VanKichline/IoTtools | 24296437d8d7432fda0095a8c23291025132f43c | [
"MIT"
] | null | null | null | python/web_server.py | VanKichline/IoTtools | 24296437d8d7432fda0095a8c23291025132f43c | [
"MIT"
] | null | null | null | python/web_server.py | VanKichline/IoTtools | 24296437d8d7432fda0095a8c23291025132f43c | [
"MIT"
] | null | null | null | #!/usr/bin/python
# Based on:
# http://www.acmesystems.it/python_httpd
# https://pymotw.com/2/BaseHTTPServer/
from BaseHTTPServer import BaseHTTPRequestHandler,HTTPServer
import urlparse
PORT_NUMBER = 5050
class reqHandler(BaseHTTPRequestHandler):
def do_GET(self):
parsed_path = urlparse.urlparse(self.path)
q ... | 24.536585 | 63 | 0.754473 |
c8174707ad83e1dd645d560c322a60ae624ad8d7 | 1,780 | py | Python | check_mk_web_api/web_api_contactgroups.py | robert-r-meyer/check-mk-web-api | 59cc2cd78c542b7997b4c2eb42becf194a0ade57 | [
"MIT"
] | null | null | null | check_mk_web_api/web_api_contactgroups.py | robert-r-meyer/check-mk-web-api | 59cc2cd78c542b7997b4c2eb42becf194a0ade57 | [
"MIT"
] | 1 | 2019-03-26T16:48:49.000Z | 2019-03-26T16:48:49.000Z | check_mk_web_api/web_api_contactgroups.py | robert-r-meyer/check-mk-web-api | 59cc2cd78c542b7997b4c2eb42becf194a0ade57 | [
"MIT"
] | 1 | 2019-05-24T14:17:11.000Z | 2019-05-24T14:17:11.000Z | from check_mk_web_api.no_none_value_dict import NoNoneValueDict
from check_mk_web_api.web_api_base import WebApiBase
class WebApiContactGroups(WebApiBase):
def get_contactgroup(self, group):
"""
Gets one contact group
# Arguments
group (str): name of contact group to get
... | 24.054054 | 66 | 0.580899 |
4b9d7fe36ffa82b4c92d7a551578c471a6539b80 | 878 | py | Python | dataent/patches/v4_0/website_sitemap_hierarchy.py | dataent/dataent | c41bd5942ffe5513f4d921c4c0595c84bbc422b4 | [
"MIT"
] | null | null | null | dataent/patches/v4_0/website_sitemap_hierarchy.py | dataent/dataent | c41bd5942ffe5513f4d921c4c0595c84bbc422b4 | [
"MIT"
] | 6 | 2020-03-24T17:15:56.000Z | 2022-02-10T18:41:31.000Z | dataent/patches/v4_0/website_sitemap_hierarchy.py | dataent/dataent | c41bd5942ffe5513f4d921c4c0595c84bbc422b4 | [
"MIT"
] | null | null | null | # Copyright (c) 2015, Dataent Technologies Pvt. Ltd. and Contributors
# MIT License. See license.txt
from __future__ import unicode_literals
import dataent
def execute():
# dataent.db.sql("""update `tabWebsite Route` ws set ref_doctype=(select wsc.ref_doctype
# from `tabWebsite Template` wsc where wsc.name=ws.web... | 39.909091 | 97 | 0.741458 |
9225c0e33d64915ae6b288c720bb9add7162bc4a | 1,233 | py | Python | scripts/dataset_single.py | albert-yue/objectnav | 95ce9bc2c1d953887275e8d9809a506aeb5682fb | [
"MIT",
"Unlicense"
] | 15 | 2021-04-12T04:36:14.000Z | 2022-03-20T04:16:36.000Z | scripts/dataset_single.py | albert-yue/objectnav | 95ce9bc2c1d953887275e8d9809a506aeb5682fb | [
"MIT",
"Unlicense"
] | 4 | 2021-07-12T18:14:08.000Z | 2021-11-11T13:44:34.000Z | scripts/dataset_single.py | albert-yue/objectnav | 95ce9bc2c1d953887275e8d9809a506aeb5682fb | [
"MIT",
"Unlicense"
] | 10 | 2021-06-23T23:14:16.000Z | 2022-03-20T07:47:32.000Z | #%%
# Extract single episodes into new datasets
from pathlib import Path
import shutil
import gzip
import json
import numpy as np
root_dir = Path('/srv/share/datasets/objectnav/mp3d/v1')
seed = 0
np.random.seed(seed)
split = 'val' # source
new_key = 'test'
source = root_dir.joinpath(split)
target = root_dir.joinpath(... | 30.073171 | 89 | 0.690187 |
3f1e14dcf3dc692bcdccbdb3bc59dc5d688d1b3c | 1,887 | py | Python | ca_qc_gatineau/people.py | dogooderapp/scrapers-ca | 5e852eea93f05f3f397eec318d3094a3b1b0b458 | [
"MIT"
] | 19 | 2015-05-26T03:18:50.000Z | 2022-01-31T03:27:41.000Z | ca_qc_gatineau/people.py | dogooderapp/scrapers-ca | 5e852eea93f05f3f397eec318d3094a3b1b0b458 | [
"MIT"
] | 119 | 2015-01-09T06:09:35.000Z | 2022-01-20T23:05:05.000Z | ca_qc_gatineau/people.py | dogooderapp/scrapers-ca | 5e852eea93f05f3f397eec318d3094a3b1b0b458 | [
"MIT"
] | 17 | 2015-11-23T05:00:10.000Z | 2021-09-15T16:03:33.000Z | from utils import CanadianScraper, CanadianPerson as Person
import re
COUNCIL_PAGE = 'http://www.gatineau.ca/portail/default.aspx?p=guichet_municipal%2fconseil_municipal'
MAYOR_CONTACT_PAGE = 'http://www.gatineau.ca/portail/default.aspx?p=la_ville/conseil_municipal/maire'
class GatineauPersonScraper(CanadianScraper... | 43.883721 | 114 | 0.627451 |
bfccccfb2be5ae1c96a1ead8908c44fef18931fe | 9,822 | py | Python | Public/BasePage.py | sdwfclcyk1/AutoTestCase | 63a6a6a4acf2a9dc572bd917b186638eae65aee7 | [
"MIT"
] | 1 | 2018-09-28T11:35:07.000Z | 2018-09-28T11:35:07.000Z | Public/BasePage.py | sdwfclcyk1/AutoTestCase | 63a6a6a4acf2a9dc572bd917b186638eae65aee7 | [
"MIT"
] | null | null | null | Public/BasePage.py | sdwfclcyk1/AutoTestCase | 63a6a6a4acf2a9dc572bd917b186638eae65aee7 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import os
import time
import uiautomator2 as u2
from uiautomator2 import UiObjectNotFoundError
import re
from Public.chromedriver import ChromeDriver
from Public.Ports import Ports
from Public.ReportPath import ReportPath
import warnings
# u2.DEBUG = True
class BasePage(object):
@classm... | 34.953737 | 119 | 0.557829 |
5d28200350f927f4d41ac84d4e9a86b120a98977 | 3,913 | py | Python | accounts/views.py | loafbaker/-django_ecommerce1- | 363c06c4b4dd90a4d1880a6be012bb19e68297f1 | [
"MIT"
] | null | null | null | accounts/views.py | loafbaker/-django_ecommerce1- | 363c06c4b4dd90a4d1880a6be012bb19e68297f1 | [
"MIT"
] | null | null | null | accounts/views.py | loafbaker/-django_ecommerce1- | 363c06c4b4dd90a4d1880a6be012bb19e68297f1 | [
"MIT"
] | null | null | null | from django.shortcuts import render, HttpResponseRedirect, Http404
from django.contrib.auth import logout, login, authenticate
from django.contrib import messages
from django.core.urlresolvers import reverse
import re
# Create your views here.
from .forms import LoginForm, RegistrationForm, UserAddressForm
from .model... | 34.9375 | 145 | 0.648096 |
1ee408c9c2df4caf1dc1fbde0fdd49a933e2e5c3 | 4,872 | py | Python | src/markdoc/config.py | lrem/markdoc | 2d10c3cf51fa22b6dbb235f037652ff124ccb777 | [
"Unlicense"
] | 1 | 2015-04-12T11:34:55.000Z | 2015-04-12T11:34:55.000Z | src/markdoc/config.py | lrem/markdoc | 2d10c3cf51fa22b6dbb235f037652ff124ccb777 | [
"Unlicense"
] | null | null | null | src/markdoc/config.py | lrem/markdoc | 2d10c3cf51fa22b6dbb235f037652ff124ccb777 | [
"Unlicense"
] | null | null | null | # -*- coding: utf-8 -*-
"""Utilities for working with Markdoc configurations."""
import copy
import os
import os.path as p
import yaml
import markdoc.exc
class ConfigNotFound(markdoc.exc.AbortError):
"""The configuration file was not found."""
pass
class ConfigMeta(type):
def __new__(mcls, name, ba... | 29.527273 | 92 | 0.536535 |
6527a23ec4168bfc76939ae1d8cf9669fafd04da | 8,071 | py | Python | adni_eivind.py | EivindArvesen/master_code | b32d62356866daa9011598a6cf1e4740cb60df3c | [
"BSD-3-Clause"
] | 2 | 2020-11-15T07:23:56.000Z | 2021-06-21T14:11:34.000Z | adni_eivind.py | EivindArvesen/master_code | b32d62356866daa9011598a6cf1e4740cb60df3c | [
"BSD-3-Clause"
] | null | null | null | adni_eivind.py | EivindArvesen/master_code | b32d62356866daa9011598a6cf1e4740cb60df3c | [
"BSD-3-Clause"
] | 3 | 2017-07-10T20:38:05.000Z | 2018-04-22T01:55:12.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Dataset-class for using custom preprocessed ADNI MRI dataset with Pylearn2.
A simple general csv dataset wrapper for pylearn2.
Can do automatic one-hot encoding based on labels present in a file.
Based upon work from Zygmunt Zajac's (zygmunt@fastml.com) CSVDataset clas... | 32.155378 | 103 | 0.55272 |
90af8fa64dea974b35199c87dadfef8fcc093e7a | 119 | py | Python | project/uploads/admin.py | eugenefauntleroy/corgfinal | a2d6f4958d83198ed785fc83da0e9921096de3e1 | [
"Apache-2.0"
] | null | null | null | project/uploads/admin.py | eugenefauntleroy/corgfinal | a2d6f4958d83198ed785fc83da0e9921096de3e1 | [
"Apache-2.0"
] | null | null | null | project/uploads/admin.py | eugenefauntleroy/corgfinal | a2d6f4958d83198ed785fc83da0e9921096de3e1 | [
"Apache-2.0"
] | null | null | null | from django.contrib import admin
from .models import Upload
# Register your models here.
admin.site.register(Upload)
| 19.833333 | 32 | 0.798319 |
b67614c6f0b5be1add93bdf08b50bdee6905d05c | 683 | py | Python | HW1/hw1p2b_regular.py | JJCSPR/isye4133 | 61b2bf48a72b6609a9254bf4fd7673474ee7f629 | [
"MIT"
] | 1 | 2019-09-29T20:07:33.000Z | 2019-09-29T20:07:33.000Z | HW1/hw1p2b_regular.py | JJCSPR/linearprogamming | 61b2bf48a72b6609a9254bf4fd7673474ee7f629 | [
"MIT"
] | null | null | null | HW1/hw1p2b_regular.py | JJCSPR/linearprogamming | 61b2bf48a72b6609a9254bf4fd7673474ee7f629 | [
"MIT"
] | null | null | null | from gurobipy import *
try:
# Create my model
m = Model('hw1a1b_regular')
# Create my variables
x1 = m.addVar(name="x1",lb = -GRB.INFINITY, ub = 0.0)
x2 = m.addVar(name="x2",lb = 0.0)
# Set an objective function
m.setObjective(x1-x2, GRB.MAXIMIZE)
# Add regular constraints
m.add... | 21.34375 | 57 | 0.592972 |
bc9b11b30d57c104653418148fe339ac1585f367 | 4,408 | py | Python | pmdas/http_ping/pmdahttp_ping.py | fahlmant/openshift-tools | dbb4f16ccde3404c36c23108c45ca7b67138ee12 | [
"Apache-2.0"
] | 164 | 2015-07-29T17:35:04.000Z | 2021-12-16T16:38:04.000Z | pmdas/http_ping/pmdahttp_ping.py | fahlmant/openshift-tools | dbb4f16ccde3404c36c23108c45ca7b67138ee12 | [
"Apache-2.0"
] | 3,634 | 2015-06-09T13:49:15.000Z | 2022-03-23T20:55:44.000Z | pmdas/http_ping/pmdahttp_ping.py | fahlmant/openshift-tools | dbb4f16ccde3404c36c23108c45ca7b67138ee12 | [
"Apache-2.0"
] | 250 | 2015-06-08T19:53:11.000Z | 2022-03-01T04:51:23.000Z | #!/usr/bin/env python2
'''
Performance Metrics Domain Agent exporting an http status code
'''
#
# Copyright (c) 2014-2015 Red Hat.
#
# This program is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the
# Free Software Foundation; either versio... | 33.907692 | 76 | 0.618875 |
ace6beed04aa6ed61ba1882b84115667be208e3a | 1,789 | py | Python | tests/test_action.py | branasingh/stackstorm-servicenow | 0e659d493dde4563ddbb49408dffefe6d8e8e00e | [
"Apache-2.0"
] | 12 | 2017-12-18T02:44:13.000Z | 2020-09-10T16:44:45.000Z | tests/test_action.py | branasingh/stackstorm-servicenow | 0e659d493dde4563ddbb49408dffefe6d8e8e00e | [
"Apache-2.0"
] | 12 | 2017-03-29T19:49:18.000Z | 2022-03-23T14:34:33.000Z | tests/test_action.py | branasingh/stackstorm-servicenow | 0e659d493dde4563ddbb49408dffefe6d8e8e00e | [
"Apache-2.0"
] | 20 | 2017-03-29T15:38:23.000Z | 2022-01-24T19:53:03.000Z | # Licensed to the StackStorm, Inc ('StackStorm') under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use th... | 35.78 | 78 | 0.727781 |
a9c747e681490e48d43a2c8047e1cf40c5ac62bf | 1,057 | py | Python | BinarySearchProbs/NoOfSubSequenceSatisfySum.py | Saicharan67/Interview-Coding-Questions | b28cccd41e380f15b833039d687931570908adfb | [
"MIT"
] | 12 | 2021-06-18T16:24:27.000Z | 2021-11-04T03:30:00.000Z | BinarySearchProbs/NoOfSubSequenceSatisfySum.py | Saicharan67/Interview-Coding-Questions | b28cccd41e380f15b833039d687931570908adfb | [
"MIT"
] | 32 | 2021-10-01T07:15:00.000Z | 2021-11-05T15:35:53.000Z | BinarySearchProbs/NoOfSubSequenceSatisfySum.py | Saicharan67/Interview-Coding-Questions | b28cccd41e380f15b833039d687931570908adfb | [
"MIT"
] | 21 | 2021-09-29T09:16:31.000Z | 2021-10-30T10:06:21.000Z | '''
Given an array of integers nums and an integer target.
Return the number of non-empty subsequences of nums such that the sum of the minimum and maximum element on it is less or equal to target. Since the answer may be too large, return it modulo 109 + 7.
Example 1:
Input: nums = [3,5,6,7], target = 9
Output: ... | 26.425 | 199 | 0.545885 |
455ad371bc21d8768a2501e4ede3040378a61ed6 | 5,189 | py | Python | network/base_model.py | ma3252788/detection_template | 0079e8e40c59c1b0c9b868e9a361bd0cc232a583 | [
"MIT"
] | 3 | 2021-06-20T03:35:04.000Z | 2021-07-18T14:13:14.000Z | network/base_model.py | ma3252788/detection_template | 0079e8e40c59c1b0c9b868e9a361bd0cc232a583 | [
"MIT"
] | null | null | null | network/base_model.py | ma3252788/detection_template | 0079e8e40c59c1b0c9b868e9a361bd0cc232a583 | [
"MIT"
] | null | null | null | import os
from abc import abstractmethod
import cv2
import torch
import warnings
import sys
import ipdb
from utils.eval_metrics.eval_map import eval_detection_voc
from misc_utils import color_print, progress_bar
from options import opt
import misc_utils as utils
import numpy as np
from mscv import load_checkpoint, sa... | 32.841772 | 128 | 0.546348 |
93d16a6b11592eaacdb7192f105dd1fed7b101b4 | 1,724 | py | Python | azure-keyvault/azure/keyvault/models/storage_account_item.py | v-Ajnava/azure-sdk-for-python | a1f6f80eb5869c5b710e8bfb66146546697e2a6f | [
"MIT"
] | 4 | 2016-06-17T23:25:29.000Z | 2022-03-30T22:37:45.000Z | azure/keyvault/models/storage_account_item.py | EnjoyLifeFund/Debian_py36_packages | 1985d4c73fabd5f08f54b922e73a9306e09c77a5 | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | 54 | 2016-03-25T17:25:01.000Z | 2018-10-22T17:27:54.000Z | azure/keyvault/models/storage_account_item.py | EnjoyLifeFund/Debian_py36_packages | 1985d4c73fabd5f08f54b922e73a9306e09c77a5 | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | 3 | 2016-05-03T20:49:46.000Z | 2017-10-05T21:05:27.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 33.803922 | 80 | 0.596868 |
4d552ce1dbf95959d80071a9295538dbe2e12b1e | 168 | py | Python | tools/py/resource.py | zepheira/versa | a33558c8bcff11eed0ef212fe9ec7e3d97047732 | [
"Apache-2.0"
] | 7 | 2015-03-12T19:13:34.000Z | 2021-07-31T10:10:46.000Z | tools/py/resource.py | zepheira/versa | a33558c8bcff11eed0ef212fe9ec7e3d97047732 | [
"Apache-2.0"
] | 14 | 2019-04-18T16:26:55.000Z | 2022-03-31T16:58:46.000Z | tools/py/resource.py | zepheira/versa | a33558c8bcff11eed0ef212fe9ec7e3d97047732 | [
"Apache-2.0"
] | 2 | 2015-11-09T04:14:10.000Z | 2019-07-24T06:03:36.000Z | #versa.resource
'''
Utilities for creating, managing, etc. resources
Recommended to use bibframe.util.resource_id from pybibframe for creating new resource IDs
'''
| 16.8 | 90 | 0.779762 |
e549e534f615fceb5ee89931a6f1aa7a05f9a9f0 | 3,890 | py | Python | powerline/segments/common/vcs.py | PH111P/powerline | f8dfe7e7e3d021cd66bc0e19b19ea4a51949cb9a | [
"MIT"
] | 23 | 2016-12-16T09:03:18.000Z | 2022-02-25T19:19:23.000Z | powerline/segments/common/vcs.py | PH111P/powerline | f8dfe7e7e3d021cd66bc0e19b19ea4a51949cb9a | [
"MIT"
] | 30 | 2016-12-20T11:11:42.000Z | 2019-11-19T15:23:59.000Z | powerline/segments/common/vcs.py | PH111P/powerline | f8dfe7e7e3d021cd66bc0e19b19ea4a51949cb9a | [
"MIT"
] | 4 | 2016-12-11T18:29:11.000Z | 2018-04-22T07:51:28.000Z | from powerline.lib.vcs import guess, tree_status
from powerline.segments import Segment, with_docstring
from powerline.theme import requires_segment_info, requires_filesystem_watcher
@requires_filesystem_watcher
@requires_segment_info
class VCSInfoSegment(Segment):
divider_highlight_group = None
@staticmetho... | 37.403846 | 112 | 0.622365 |
fd64b49d13097c50d188b3cc4d4cabc80dcad5f8 | 53,639 | py | Python | django/template/defaulttags.py | jedie/django | 09f2cdbe1a43e79e31f5ea509b59d4c87db29832 | [
"BSD-3-Clause"
] | null | null | null | django/template/defaulttags.py | jedie/django | 09f2cdbe1a43e79e31f5ea509b59d4c87db29832 | [
"BSD-3-Clause"
] | null | null | null | django/template/defaulttags.py | jedie/django | 09f2cdbe1a43e79e31f5ea509b59d4c87db29832 | [
"BSD-3-Clause"
] | null | null | null | """Default tags used by the template system, available to all templates."""
from __future__ import unicode_literals
import os
import re
import sys
import warnings
from datetime import datetime
from itertools import cycle as itertools_cycle, groupby
from django.conf import settings
from django.utils import six, timezo... | 33.970234 | 119 | 0.589049 |
cf908545b0d8884f7397cc51123566826cb1b460 | 51,648 | py | Python | packages/python/plotly/plotly/graph_objs/box/__init__.py | sgn/plotly.py | 587075c9f5a57a3dd60b03b2d47d925fbbb9b9b6 | [
"MIT"
] | 3 | 2020-02-04T21:39:20.000Z | 2020-11-17T19:07:07.000Z | packages/python/plotly/plotly/graph_objs/box/__init__.py | sgn/plotly.py | 587075c9f5a57a3dd60b03b2d47d925fbbb9b9b6 | [
"MIT"
] | 12 | 2020-06-06T01:22:26.000Z | 2022-03-12T00:13:42.000Z | packages/python/plotly/plotly/graph_objs/box/__init__.py | sgn/plotly.py | 587075c9f5a57a3dd60b03b2d47d925fbbb9b9b6 | [
"MIT"
] | 17 | 2019-11-21T14:11:29.000Z | 2019-11-21T15:26:23.000Z | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Unselected(_BaseTraceHierarchyType):
# marker
# ------
@property
def marker(self):
"""
The 'marker' property is an instance of Marker
that may be specified as:
... | 35.375342 | 85 | 0.55127 |
66eca1cf3c3166e2393f2fa4d8e9a984e3ee8e5d | 2,422 | py | Python | saw-remote-api/python/tests/saw/test_llvm_struct.py | Grain/saw-script | 81287fb74cbdac3bb3f75b984f1125deb3055e64 | [
"BSD-3-Clause"
] | null | null | null | saw-remote-api/python/tests/saw/test_llvm_struct.py | Grain/saw-script | 81287fb74cbdac3bb3f75b984f1125deb3055e64 | [
"BSD-3-Clause"
] | null | null | null | saw-remote-api/python/tests/saw/test_llvm_struct.py | Grain/saw-script | 81287fb74cbdac3bb3f75b984f1125deb3055e64 | [
"BSD-3-Clause"
] | null | null | null | from pathlib import Path
import unittest
from saw_client import *
from saw_client.crucible import cry, cry_f
from saw_client.llvm import Contract, SetupVal, FreshVar, struct, LLVMType, void, array_ty, i32, alias_ty
def ptr_to_fresh(c : Contract, ty : LLVMType, name : Optional[str] = None) -> Tuple[FreshVar, SetupVal]... | 35.101449 | 112 | 0.651115 |
aaadb9546d2068757d56b0050ecec81bb1f1b7ea | 23,707 | py | Python | provisioning/miniprov/test/test_cdf.py | ivan-alekhin/cortx-hare | db542ee8b07fc1683a22088e34102763bd7b55a3 | [
"Apache-2.0"
] | null | null | null | provisioning/miniprov/test/test_cdf.py | ivan-alekhin/cortx-hare | db542ee8b07fc1683a22088e34102763bd7b55a3 | [
"Apache-2.0"
] | null | null | null | provisioning/miniprov/test/test_cdf.py | ivan-alekhin/cortx-hare | db542ee8b07fc1683a22088e34102763bd7b55a3 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2020 Seagate Technology LLC and/or its Affiliates
#
# 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 appl... | 42.638489 | 110 | 0.548572 |
06da14e4fa9c2815de7e4eeeab688b2b2193b026 | 210 | py | Python | findpair.py | quake0day/oj | c09333d1738f8735de0d5d825db6f4b707585670 | [
"MIT"
] | null | null | null | findpair.py | quake0day/oj | c09333d1738f8735de0d5d825db6f4b707585670 | [
"MIT"
] | null | null | null | findpair.py | quake0day/oj | c09333d1738f8735de0d5d825db6f4b707585670 | [
"MIT"
] | null | null | null | s = [1,5, 10, 100]
p = [6, 11, 101, 15, 105, 110]
def myPair(p, m):
s = [0] * m
s[0] = (p[0] + p[1] - p[m-1]) / 2
for i in xrange(m-1):
s[i+1] = p[i] - s[0]
return s
print myPair(p, 4) | 21 | 37 | 0.419048 |
8d91ec3d3b5063bbea9536545fea23849077eb49 | 1,772 | py | Python | extracting-frames-from-video/extract_frames.py | m0rphed/comp-vis-notes | 32a934e97b1084b9886c3703c91566df26eb4ef2 | [
"MIT"
] | null | null | null | extracting-frames-from-video/extract_frames.py | m0rphed/comp-vis-notes | 32a934e97b1084b9886c3703c91566df26eb4ef2 | [
"MIT"
] | 3 | 2019-07-16T18:45:28.000Z | 2019-07-25T17:38:47.000Z | extracting-frames-from-video/extract_frames.py | m0rphed/comp-vis-notes | 32a934e97b1084b9886c3703c91566df26eb4ef2 | [
"MIT"
] | null | null | null | import cv2
from enum import Enum
from extracting_by_timecode import extract_frames_by_timecodes
from extracting_by_number import extract_frames_by_number
from extracting_by_range import extract_frames_by_ranges
from extracting_by_range_and_number import extract_frames_by_ranges_and_number
class ExtractingFramesType(E... | 32.814815 | 107 | 0.715576 |
415ac3f037304c55ddadb730cf56337a6282dd91 | 6,132 | py | Python | 2D/Pumping/VAEjacob.py | AnyueJ/VAE_Robustness | c457932a46f8e4e34767fc621bfe5fdec43e37a6 | [
"MIT"
] | 2 | 2021-02-26T20:02:33.000Z | 2021-11-18T03:24:46.000Z | 2D/Pumping/VAEjacob.py | AnyueJ/VAE_Robustness | c457932a46f8e4e34767fc621bfe5fdec43e37a6 | [
"MIT"
] | null | null | null | 2D/Pumping/VAEjacob.py | AnyueJ/VAE_Robustness | c457932a46f8e4e34767fc621bfe5fdec43e37a6 | [
"MIT"
] | null | null | null | import tensorflow as tf
import scipy.io as sio
import numpy as np
import matplotlib
matplotlib.use('agg')
import matplotlib.pyplot as plt
import time
from matplotlib import pyplot as mp
from tensorflow.contrib.slim import fully_connected as fc
from tensorflow.python.ops.parallel_for.gradients import jacobian
input_di... | 40.88 | 111 | 0.607795 |
c6f5fd29d4899c749258d1a94ff3c65723e020aa | 1,373 | py | Python | egs2/jsut/tts1/local/prep_segments.py | texpomru13/espnet | 7ef005e832e2fb033f356c16f54e0f08762fb4b0 | [
"Apache-2.0"
] | 5,053 | 2017-12-13T06:21:41.000Z | 2022-03-31T13:38:29.000Z | egs2/jsut/tts1/local/prep_segments.py | texpomru13/espnet | 7ef005e832e2fb033f356c16f54e0f08762fb4b0 | [
"Apache-2.0"
] | 3,666 | 2017-12-14T05:58:50.000Z | 2022-03-31T22:11:49.000Z | egs2/jsut/tts1/local/prep_segments.py | texpomru13/espnet | 7ef005e832e2fb033f356c16f54e0f08762fb4b0 | [
"Apache-2.0"
] | 1,709 | 2017-12-13T01:02:42.000Z | 2022-03-31T11:57:45.000Z | #!/usr/bin/env python3
# Copyright 2019 Ryuichi Yamamoto
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
import argparse
import os
import sys
from nnmnkwii.io import hts
def get_parser():
parser = argparse.ArgumentParser(
description="Prepare segments from HTS-style alignment files",
... | 31.204545 | 88 | 0.600874 |
146c7b1c166166856f0cd410d7021c94d438e332 | 24,437 | py | Python | google/cloud/ndb/_gql.py | sandboxxapp/python-ndb | 8d3ce5c6cce9055d21400aa9feebc99e66393667 | [
"Apache-2.0"
] | null | null | null | google/cloud/ndb/_gql.py | sandboxxapp/python-ndb | 8d3ce5c6cce9055d21400aa9feebc99e66393667 | [
"Apache-2.0"
] | null | null | null | google/cloud/ndb/_gql.py | sandboxxapp/python-ndb | 8d3ce5c6cce9055d21400aa9feebc99e66393667 | [
"Apache-2.0"
] | null | null | null | import re
from google.cloud.ndb import exceptions
from google.cloud.ndb import query as query_module
from google.cloud.ndb import model
from google.cloud.ndb import _datastore_query
class GQL(object):
"""A GQL parser for NDB queries.
GQL is a SQL-like language which supports more object-like semantics
i... | 31.943791 | 83 | 0.560257 |
40eab4cb392e6ff280b3eb5595eed5579afe487f | 1,683 | py | Python | LSTM/model.py | ehsangolshani/workload-predictor | 517182fd9044b3a8c8f86c313b4b0d314d352c43 | [
"Apache-2.0"
] | 1 | 2020-04-03T13:17:16.000Z | 2020-04-03T13:17:16.000Z | LSTM/model.py | ehsangolshani/workload-predictor | 517182fd9044b3a8c8f86c313b4b0d314d352c43 | [
"Apache-2.0"
] | null | null | null | LSTM/model.py | ehsangolshani/workload-predictor | 517182fd9044b3a8c8f86c313b4b0d314d352c43 | [
"Apache-2.0"
] | null | null | null | import torch
from torch import nn
class LSTMModel(nn.Module):
def __init__(self, input_size, output_size, hidden_dim, num_layers, batch_size, dropout=0.1):
super(LSTMModel, self).__init__()
self.hidden_dim = hidden_dim
self.num_layers = num_layers
self.lstm: nn.LSTM = nn.LSTM(inpu... | 41.04878 | 99 | 0.621509 |
c7dd051e2afacfa7e6bfedec07ac4e0c2ed856c3 | 9,370 | py | Python | tutorials/eos.py | muhrin/aiida-vasp | 641fdc2ccd40bdd041e59af1fa3e1dcf9b037415 | [
"MIT"
] | 1 | 2021-06-13T09:13:01.000Z | 2021-06-13T09:13:01.000Z | tutorials/eos.py | muhrin/aiida-vasp | 641fdc2ccd40bdd041e59af1fa3e1dcf9b037415 | [
"MIT"
] | null | null | null | tutorials/eos.py | muhrin/aiida-vasp | 641fdc2ccd40bdd041e59af1fa3e1dcf9b037415 | [
"MIT"
] | null | null | null | """
The eos workchain
----------------
The workchain will accept a dictionary of structures and extract the
total energies for each structure.
The data is saved and the energy minimum is calculated and stored.
"""
# pylint: disable=attribute-defined-outside-init
import random
import numpy as np
from scipy.optimize im... | 39.205021 | 135 | 0.685806 |
bf256bde4aa959e2d22fc78c5f10ed9532515592 | 11,519 | py | Python | intersight/model/oauth_authorization_all_of.py | CiscoDevNet/intersight-python | 04b721f37c3044646a91c185c7259edfb991557a | [
"Apache-2.0"
] | 5 | 2021-12-16T15:13:32.000Z | 2022-03-29T16:09:54.000Z | intersight/model/oauth_authorization_all_of.py | CiscoDevNet/intersight-python | 04b721f37c3044646a91c185c7259edfb991557a | [
"Apache-2.0"
] | 4 | 2022-01-25T19:05:51.000Z | 2022-03-29T20:18:37.000Z | intersight/model/oauth_authorization_all_of.py | CiscoDevNet/intersight-python | 04b721f37c3044646a91c185c7259edfb991557a | [
"Apache-2.0"
] | 2 | 2020-07-07T15:01:08.000Z | 2022-01-31T04:27:35.000Z | """
Cisco Intersight
Cisco Intersight is a management platform delivered as a service with embedded analytics for your Cisco and 3rd party IT infrastructure. This platform offers an intelligent level of management that enables IT organizations to analyze, simplify, and automate their environments in more advan... | 53.576744 | 1,678 | 0.641028 |
600a7f2a9d183102aaf21ba4ef5e15e355136f10 | 6,309 | py | Python | neutronclient/neutron/v2_0/lb/healthmonitor.py | shwsun/neutronclient | 0c8a457da182be28d3d4d0eb33cbaeeb4156b307 | [
"Apache-2.0"
] | null | null | null | neutronclient/neutron/v2_0/lb/healthmonitor.py | shwsun/neutronclient | 0c8a457da182be28d3d4d0eb33cbaeeb4156b307 | [
"Apache-2.0"
] | null | null | null | neutronclient/neutron/v2_0/lb/healthmonitor.py | shwsun/neutronclient | 0c8a457da182be28d3d4d0eb33cbaeeb4156b307 | [
"Apache-2.0"
] | null | null | null | # Copyright 2013 Mirantis Inc.
# All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | 38.236364 | 79 | 0.614836 |
04c26cbe4e9cfa2ad3a11c381edccf3b6d95357b | 2,340 | py | Python | data_loader/dataset_IMT/extract_from_tar.py | luiseduve/kinemats | 08c459315eb6ec64b819eb2fdf2b753241960504 | [
"Apache-2.0"
] | null | null | null | data_loader/dataset_IMT/extract_from_tar.py | luiseduve/kinemats | 08c459315eb6ec64b819eb2fdf2b753241960504 | [
"Apache-2.0"
] | null | null | null | data_loader/dataset_IMT/extract_from_tar.py | luiseduve/kinemats | 08c459315eb6ec64b819eb2fdf2b753241960504 | [
"Apache-2.0"
] | null | null | null | #%% # Add to path
from pathlib import Path
import sys,os
this_path = str(Path().absolute())+"/"
print("File Path:", this_path)
sys.path.append(os.path.join(Path().absolute(), "src"))
# %%
# LIBRARIES
from data_loader.dataset_videos import DatasetHeadMovIMT
from data_loader import utils
import pandas as pd
# %%
""... | 26 | 106 | 0.712393 |
55a03e4cd0e20e34dcd0b76c2cc9d96c98cbe228 | 1,611 | py | Python | bindings/python/examples/plot-voltage.py | jmball/libsmu | d9330b8e3233527da671623ecacc6bbeacd02ed5 | [
"BSD-3-Clause"
] | 30 | 2015-03-28T23:19:54.000Z | 2022-03-08T14:44:36.000Z | bindings/python/examples/plot-voltage.py | jmball/libsmu | d9330b8e3233527da671623ecacc6bbeacd02ed5 | [
"BSD-3-Clause"
] | 147 | 2015-03-06T18:37:11.000Z | 2022-03-28T08:26:47.000Z | bindings/python/examples/plot-voltage.py | jmball/libsmu | d9330b8e3233527da671623ecacc6bbeacd02ed5 | [
"BSD-3-Clause"
] | 26 | 2015-03-14T06:04:17.000Z | 2022-03-12T16:37:48.000Z | #!/usr/bin/env python
#
# Simple script showing how to write a sine/cosine wave to the attached devices and
# plot the resulting voltage output for both channels using matplotlib.
from __future__ import print_function
from collections import defaultdict
import sys
from pysmu import Session, Mode
import matplotlib.py... | 31.588235 | 83 | 0.653011 |
85b1740d94e222333233abc521411b015651d0be | 3,412 | py | Python | sktime/tests/test_pipeline.py | Mo-Saif/sktime | f3c71977c113d986276fca2bdedf70faaa33f040 | [
"BSD-3-Clause"
] | 1 | 2019-09-29T07:11:33.000Z | 2019-09-29T07:11:33.000Z | sktime/tests/test_pipeline.py | ClaudiaSanches/sktime | 63e7839e80ca6d5fe5fc4f33389ec3bcacd8aa59 | [
"BSD-3-Clause"
] | null | null | null | sktime/tests/test_pipeline.py | ClaudiaSanches/sktime | 63e7839e80ca6d5fe5fc4f33389ec3bcacd8aa59 | [
"BSD-3-Clause"
] | 1 | 2019-05-08T10:42:20.000Z | 2019-05-08T10:42:20.000Z | import numpy as np
import pandas as pd
from sklearn.preprocessing import FunctionTransformer
from sklearn.tree import DecisionTreeClassifier
from sktime.datasets import load_gunpoint
from sktime.pipeline import FeatureUnion
from sktime.pipeline import Pipeline
from sktime.transformers.compose import RowwiseTransformer... | 35.541667 | 114 | 0.703693 |
1ee60941ea521820f4750d452df815bdfe29dba3 | 6,942 | py | Python | siri/siri_model_discovery/siri_line_v2_0.py | grutts/siri | c388c209d1c803be166e767d5aa53a93a34c002d | [
"MIT"
] | null | null | null | siri/siri_model_discovery/siri_line_v2_0.py | grutts/siri | c388c209d1c803be166e767d5aa53a93a34c002d | [
"MIT"
] | null | null | null | siri/siri_model_discovery/siri_line_v2_0.py | grutts/siri | c388c209d1c803be166e767d5aa53a93a34c002d | [
"MIT"
] | null | null | null | from dataclasses import dataclass, field
from typing import List, Optional
from siri.siri_model.siri_journey_v2_0 import DirectionStructure
from siri.siri_model_discovery.siri_stop_point_v2_0 import AnnotatedStopPointStructure
from siri.siri_utility.siri_location_v2_0 import LineShapeStructure
from siri.siri_utility.si... | 27.879518 | 86 | 0.556612 |
d717b5182cbda31d96de1e1f1372163aaab5b2ea | 12,869 | py | Python | research/object_detection/predictors/heads/class_head.py | fowler-lab-osu/EarVision_TensorFlow_Object_Detection_API | e00707b233feb9103ecf7c95b09a234b0f727d05 | [
"Apache-2.0"
] | null | null | null | research/object_detection/predictors/heads/class_head.py | fowler-lab-osu/EarVision_TensorFlow_Object_Detection_API | e00707b233feb9103ecf7c95b09a234b0f727d05 | [
"Apache-2.0"
] | null | null | null | research/object_detection/predictors/heads/class_head.py | fowler-lab-osu/EarVision_TensorFlow_Object_Detection_API | e00707b233feb9103ecf7c95b09a234b0f727d05 | [
"Apache-2.0"
] | 1 | 2020-07-10T19:17:42.000Z | 2020-07-10T19:17:42.000Z | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 40.596215 | 80 | 0.710312 |
d834d2588e42c842ef1094b8e860510cbe279be4 | 1,945 | py | Python | key.py | AndreaOrru/Yugen | e5bdee4cce24537d37fec9f88836897d04a0cd03 | [
"BSD-2-Clause"
] | 1 | 2015-11-27T01:47:11.000Z | 2015-11-27T01:47:11.000Z | key.py | AndreaOrru/Yugen | e5bdee4cce24537d37fec9f88836897d04a0cd03 | [
"BSD-2-Clause"
] | null | null | null | key.py | AndreaOrru/Yugen | e5bdee4cce24537d37fec9f88836897d04a0cd03 | [
"BSD-2-Clause"
] | null | null | null | """Representation of keypresses."""
import curses
from curses import ascii
from curses.ascii import isprint
class Key:
"""Class representing a combination of key presses.
Attributes:
keys: Dictionary that maps key names to codes.
"""
keys = {k[4:]: eval('curses.'+k) for k in dir(curses) if ... | 33.534483 | 91 | 0.579434 |
d6733fd6d58671507dbd44dcc5d03d1f31a1e794 | 1,233 | py | Python | tests/daemon/unit/api/endpoints/partial/test_flow.py | thephenix4/jina | 34b433aa6f5f6781117568d422e8c2e9fe8ad6ec | [
"Apache-2.0"
] | 5 | 2021-10-30T06:07:58.000Z | 2022-02-20T20:43:02.000Z | tests/daemon/unit/api/endpoints/partial/test_flow.py | thephenix4/jina | 34b433aa6f5f6781117568d422e8c2e9fe8ad6ec | [
"Apache-2.0"
] | 1 | 2020-07-15T08:17:47.000Z | 2020-07-15T08:17:47.000Z | tests/daemon/unit/api/endpoints/partial/test_flow.py | thephenix4/jina | 34b433aa6f5f6781117568d422e8c2e9fe8ad6ec | [
"Apache-2.0"
] | 1 | 2021-10-02T12:17:42.000Z | 2021-10-02T12:17:42.000Z | from pathlib import Path
from daemon.models import FlowModel
from daemon.models.enums import UpdateOperation
from jina import Client, Document
cur_dir = Path(__file__).parent
api = '/flow'
def test_flow_api(monkeypatch, partial_flow_client):
flow_model = FlowModel()
flow_model.uses = f'{cur_dir}/good_flow_d... | 28.022727 | 89 | 0.669911 |
32d442b53ad98ffb482d7cd9e25566261fef0008 | 456 | py | Python | demo/open_pcap.py | drewp/python-libpcap | 1f7e295735a0cab98aa855fa4cbf97096e5d25ac | [
"BSD-3-Clause"
] | null | null | null | demo/open_pcap.py | drewp/python-libpcap | 1f7e295735a0cab98aa855fa4cbf97096e5d25ac | [
"BSD-3-Clause"
] | null | null | null | demo/open_pcap.py | drewp/python-libpcap | 1f7e295735a0cab98aa855fa4cbf97096e5d25ac | [
"BSD-3-Clause"
] | null | null | null | # @Author: JanKinCai
# @Date: 2019-09-11 17:43:19
# @Last Modified by: jankincai12@gmail.com
# @Last Modified time: 2019-09-12 09:27:39
from pylibpcap.open import OpenPcap
with OpenPcap("pcap.pcap", filters="port 502") as f:
with OpenPcap("pcap2.pcap", mode="a") as f1:
for lens, t, buf in f.read():
... | 30.4 | 52 | 0.572368 |
f9d01b2721177035cc67c487e095dd9b9b08c642 | 7,191 | py | Python | company-affiliation/python/old_files/getCrossovers.py | IanOlin/github-research | 3e370d65546473d2403c21107ebf73fa806a62c9 | [
"MIT"
] | 6 | 2016-04-13T22:46:30.000Z | 2020-06-17T16:18:10.000Z | company-affiliation/python/old_files/getCrossovers.py | IanOlin/github-research | 3e370d65546473d2403c21107ebf73fa806a62c9 | [
"MIT"
] | 1 | 2017-05-12T06:21:24.000Z | 2017-05-12T06:21:24.000Z | company-affiliation/python/old_files/getCrossovers.py | IanOlin/github-research | 3e370d65546473d2403c21107ebf73fa806a62c9 | [
"MIT"
] | 3 | 2017-05-27T08:51:47.000Z | 2020-06-17T16:18:11.000Z | from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
firefox_capabilities = DesiredCapabilities.FIREFOX
firefox_capabilities['marionette'] = True
firefox_capabilities['binary'] = '/usr/bin/firefox'
# Go here to install dependencies for chrome webdriver: https://christopher.su/2015/selenium-c... | 36.318182 | 310 | 0.770547 |
1b40a978c47ed45cf51f8f1e6c193b80939787fd | 3,091 | py | Python | mender/client/__init__.py | kireevco/mender-backend-cli | 7bd5db7dcc82625aa461c0fc9dccbc829c08be15 | [
"MIT"
] | 5 | 2016-10-12T11:29:10.000Z | 2020-05-11T17:04:15.000Z | mender/client/__init__.py | kireevco/mender-backend-cli | 7bd5db7dcc82625aa461c0fc9dccbc829c08be15 | [
"MIT"
] | 3 | 2018-03-26T08:53:55.000Z | 2021-03-08T13:30:57.000Z | mender/client/__init__.py | kireevco/mender-backend-cli | 7bd5db7dcc82625aa461c0fc9dccbc829c08be15 | [
"MIT"
] | 6 | 2018-03-23T00:21:01.000Z | 2021-03-16T11:48:33.000Z | # The MIT License (MIT)
#
# Copyright (c) 2016 Maciej Borzecki
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, m... | 29.438095 | 80 | 0.704626 |
c22202375f2d71bede6eb83ae8d567860f2f995d | 16,846 | py | Python | readthedocs/oauth/services/gitlab.py | yarikoptic/readthedocs.org | 98a7ff1758d829323e5ef9949f57401f7103ec4e | [
"MIT"
] | null | null | null | readthedocs/oauth/services/gitlab.py | yarikoptic/readthedocs.org | 98a7ff1758d829323e5ef9949f57401f7103ec4e | [
"MIT"
] | 4 | 2020-06-05T22:35:21.000Z | 2021-12-13T20:10:17.000Z | readthedocs/oauth/services/gitlab.py | yarikoptic/readthedocs.org | 98a7ff1758d829323e5ef9949f57401f7103ec4e | [
"MIT"
] | null | null | null | """OAuth utility functions."""
import json
import logging
import re
from allauth.socialaccount.providers.gitlab.views import GitLabOAuth2Adapter
from django.conf import settings
from django.urls import reverse
from requests.exceptions import RequestException
from readthedocs.builds.constants import (
BUILD_STATU... | 34.101215 | 86 | 0.548617 |
04fbdb12a81242ec2ea39b08b926adc0bdadc7ae | 4,567 | py | Python | netbox_client/models/nested_virtual_machine.py | nrfta/python-netbox-client | 68ba6dd4d7306513dc1ad38f3ac59122ba4f70a8 | [
"MIT"
] | null | null | null | netbox_client/models/nested_virtual_machine.py | nrfta/python-netbox-client | 68ba6dd4d7306513dc1ad38f3ac59122ba4f70a8 | [
"MIT"
] | null | null | null | netbox_client/models/nested_virtual_machine.py | nrfta/python-netbox-client | 68ba6dd4d7306513dc1ad38f3ac59122ba4f70a8 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
NetBox API
API to access NetBox # noqa: E501
OpenAPI spec version: 2.8
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
class NestedVirtualMachine(object):
"""NOTE: This class is auto generated by ... | 26.398844 | 115 | 0.545654 |
0941e847422f67f11a444781dd70492483b7472a | 198 | py | Python | console_a10/macro.py | chuckwoodjohn/py_console_a1.0 | 825cf47402a4941ff2d72b4430ca94f2742e30ec | [
"BSD-2-Clause"
] | 1 | 2015-12-15T22:38:05.000Z | 2015-12-15T22:38:05.000Z | console_a10/macro.py | chuckwoodjohn/py_console_a1.0 | 825cf47402a4941ff2d72b4430ca94f2742e30ec | [
"BSD-2-Clause"
] | null | null | null | console_a10/macro.py | chuckwoodjohn/py_console_a1.0 | 825cf47402a4941ff2d72b4430ca94f2742e30ec | [
"BSD-2-Clause"
] | null | null | null | class Macro:
def __init__(self, call, func):
self.call = call
self.func = func
def __call__(self, shell, *args, **kwargs):
self.func(shell, *args, **kwargs)
| 24.75 | 47 | 0.555556 |
b627c5785e80c08378e3b966c7612558816085f7 | 23,226 | py | Python | gammapy/estimators/ts_map.py | vikasj78/gammapy | 46deb872bbcbf36748df71e659dc3fa592f6dc27 | [
"BSD-3-Clause"
] | null | null | null | gammapy/estimators/ts_map.py | vikasj78/gammapy | 46deb872bbcbf36748df71e659dc3fa592f6dc27 | [
"BSD-3-Clause"
] | null | null | null | gammapy/estimators/ts_map.py | vikasj78/gammapy | 46deb872bbcbf36748df71e659dc3fa592f6dc27 | [
"BSD-3-Clause"
] | null | null | null | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""Functions to compute TS images."""
import functools
import logging
import warnings
import numpy as np
import scipy.optimize
from astropy.coordinates import Angle
from gammapy.datasets.map import MapEvaluator
from gammapy.maps import Map, WcsGeom
from ga... | 31.514247 | 94 | 0.592267 |
f58ab02ee160e9cead042522b01707aa5f5c74d5 | 2,753 | py | Python | basic/string2.py | Jaimenms/google-python-exercises | f3f3115f9d0034c2c7fcc278ff8d6959cb9f20e5 | [
"Apache-2.0"
] | null | null | null | basic/string2.py | Jaimenms/google-python-exercises | f3f3115f9d0034c2c7fcc278ff8d6959cb9f20e5 | [
"Apache-2.0"
] | null | null | null | basic/string2.py | Jaimenms/google-python-exercises | f3f3115f9d0034c2c7fcc278ff8d6959cb9f20e5 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python2.4 -tt
# Copyright 2010 Google Inc.
# Licensed under the Apache License, Version 2.0
# http://www.apache.org/licenses/LICENSE-2.0
# Google's Python Class
# http://code.google.com/edu/languages/google-python-class/
# Additional basic string exercises
# D. verbing
# Given a string, if its length is ... | 29.287234 | 77 | 0.645114 |
6567674400efd2b2b8c40aa75981704bcaf2df20 | 12,173 | py | Python | models/transformer.py | openseg-group/detr | d947cf39ab716aedf7502103fc51b85b9d82822b | [
"Apache-2.0"
] | null | null | null | models/transformer.py | openseg-group/detr | d947cf39ab716aedf7502103fc51b85b9d82822b | [
"Apache-2.0"
] | null | null | null | models/transformer.py | openseg-group/detr | d947cf39ab716aedf7502103fc51b85b9d82822b | [
"Apache-2.0"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
DETR Transformer class.
Copy-paste from torch.nn.Transformer with modifications:
* positional encodings are passed in MHattention
* extra LN at the end of encoder is removed
* decoder returns a stack of activations from all decoding... | 40.712375 | 98 | 0.608478 |
48e10ef39b348a66fe2dec1e3ef37f08c7a0336c | 974 | py | Python | mmic_cg/models/proc.py | RlyehAD/mmic_cg | 66344f3b85ce9ccfa43d6e6b35a86183cd4b6400 | [
"BSD-3-Clause"
] | null | null | null | mmic_cg/models/proc.py | RlyehAD/mmic_cg | 66344f3b85ce9ccfa43d6e6b35a86183cd4b6400 | [
"BSD-3-Clause"
] | null | null | null | mmic_cg/models/proc.py | RlyehAD/mmic_cg | 66344f3b85ce9ccfa43d6e6b35a86183cd4b6400 | [
"BSD-3-Clause"
] | null | null | null | """ Populate this file if your component requires its own models """
from cmselemental.models import InputProc, OutputProc
from mmelemental.models import Molecule
from pydantic import Field
from typing import Union, Optional, Dict, Any
__all__ = ["InputCoarse", "OutputCoarse"]
class InputCoarse(InputProc):
"""An i... | 24.35 | 72 | 0.726899 |
c8df236758525c7ca8ac5c9d15cfcac070a3a756 | 1,549 | py | Python | StockAnalytics-master/StockAnalytics-master/SP500Prediction/Prediction_AggStockPrice/Evaluation_sp500.py | iVibudh/stock-prediction | 3900619224bb86e382c782d39138914294199733 | [
"MIT"
] | null | null | null | StockAnalytics-master/StockAnalytics-master/SP500Prediction/Prediction_AggStockPrice/Evaluation_sp500.py | iVibudh/stock-prediction | 3900619224bb86e382c782d39138914294199733 | [
"MIT"
] | null | null | null | StockAnalytics-master/StockAnalytics-master/SP500Prediction/Prediction_AggStockPrice/Evaluation_sp500.py | iVibudh/stock-prediction | 3900619224bb86e382c782d39138914294199733 | [
"MIT"
] | null | null | null | import pandas as pd
import psycopg2
# Connect to database
conn = psycopg2.connect(host='localhost', port=5432, database='postgres')
# Obtain stock price and predicted stock price of top 20 stock components
query = """select * from stock.pred_dy_sp500 as l
left join
(select * from stock.stockpri... | 35.204545 | 78 | 0.706262 |
19872c4176f364630e52b59b9806de374756c176 | 1,398 | py | Python | pylith/feassemble/obsolete/IntegratorElasticityLgDeform.py | Grant-Block/pylith | f6338261b17551eba879da998a5aaf2d91f5f658 | [
"MIT"
] | 93 | 2015-01-08T16:41:22.000Z | 2022-02-25T13:40:02.000Z | pylith/feassemble/obsolete/IntegratorElasticityLgDeform.py | Grant-Block/pylith | f6338261b17551eba879da998a5aaf2d91f5f658 | [
"MIT"
] | 277 | 2015-02-20T16:27:35.000Z | 2022-03-30T21:13:09.000Z | pylith/feassemble/obsolete/IntegratorElasticityLgDeform.py | Grant-Block/pylith | f6338261b17551eba879da998a5aaf2d91f5f658 | [
"MIT"
] | 71 | 2015-03-24T12:11:08.000Z | 2022-03-03T04:26:02.000Z | #!/usr/bin/env python
#
# ----------------------------------------------------------------------
#
# Brad T. Aagaard, U.S. Geological Survey
# Charles A. Williams, GNS Science
# Matthew G. Knepley, University of Chicago
#
# This code was developed as part of the Computational Infrastructure
# for Geodynamics (http://ge... | 27.96 | 72 | 0.651645 |
bd535d3b95f905c06540e1eada89784f32333945 | 3,104 | py | Python | ve/fwrisc_rv32i/tests/cocotb/fwrisc_rv32i_tests/zephyr_tests.py | Kamran-10xe/fwrisc | 5c742c60ba620944ba19741c02782fb6b45d514e | [
"Apache-2.0"
] | 10 | 2020-12-23T07:55:03.000Z | 2022-03-01T07:20:39.000Z | ve/fwrisc_rv32i/tests/cocotb/fwrisc_rv32i_tests/zephyr_tests.py | Kamran-10xe/fwrisc | 5c742c60ba620944ba19741c02782fb6b45d514e | [
"Apache-2.0"
] | 1 | 2021-12-04T06:12:19.000Z | 2022-02-18T13:20:55.000Z | ve/fwrisc_rv32i/tests/cocotb/fwrisc_rv32i_tests/zephyr_tests.py | Kamran-10xe/fwrisc | 5c742c60ba620944ba19741c02782fb6b45d514e | [
"Apache-2.0"
] | 8 | 2021-02-08T02:25:24.000Z | 2022-03-01T05:13:44.000Z | '''
Created on Nov 23, 2019
@author: ballance
'''
import cocotb
from cocotb.bfms import BfmMgr
from fwrisc_rv32i_tests.instr_tests import InstrTests
from fwrisc_tracer_bfm.fwrisc_tracer_signal_bfm import FwriscTracerSignalBfm
from elftools.elf.elffile import ELFFile
from elftools.elf.sections import SymbolTableSectio... | 28.218182 | 96 | 0.558956 |
d960dd8b7ed3bc743b9df55186d092cf729f9496 | 3,240 | py | Python | Code/branches/Pre-Prospectus/python/Arnoldi/Deterministic/OldDeterm/ArnoldiDtmMain.py | jlconlin/PhDThesis | 8e704613721a800ce1c59576e94f40fa6f7cd986 | [
"MIT"
] | null | null | null | Code/branches/Pre-Prospectus/python/Arnoldi/Deterministic/OldDeterm/ArnoldiDtmMain.py | jlconlin/PhDThesis | 8e704613721a800ce1c59576e94f40fa6f7cd986 | [
"MIT"
] | null | null | null | Code/branches/Pre-Prospectus/python/Arnoldi/Deterministic/OldDeterm/ArnoldiDtmMain.py | jlconlin/PhDThesis | 8e704613721a800ce1c59576e94f40fa6f7cd986 | [
"MIT"
] | null | null | null | #! /usr/local/bin/python2.4
import ArnoldiDtm
import numpy
import random
import Gnuplot
__author__ = "$Author: jlconlin $"
__version__ = " $Revision: 83 $"
__date__ = "$Date: 2007-06-14 15:35:15 -0600 (Thu, 14 Jun 2007) $"
__id__ = "$Id: ArnoldiDtmMain.py 83 2007-06-14 21:35:15Z jlconlin $"
def main():
... | 29.189189 | 99 | 0.614506 |
8fb74104745e4e194de6e52378c617c2b9ca62ea | 5,050 | py | Python | m2cgen/assemblers/svm.py | bcampbell-prosper/m2cgen | cc049fe5cd7060c2f0cd5a0331e3aa85fac2a336 | [
"MIT"
] | 3 | 2021-06-29T02:43:40.000Z | 2022-03-28T07:41:59.000Z | m2cgen/assemblers/svm.py | bcampbell-prosper/m2cgen | cc049fe5cd7060c2f0cd5a0331e3aa85fac2a336 | [
"MIT"
] | null | null | null | m2cgen/assemblers/svm.py | bcampbell-prosper/m2cgen | cc049fe5cd7060c2f0cd5a0331e3aa85fac2a336 | [
"MIT"
] | 3 | 2021-08-06T07:51:37.000Z | 2022-03-28T07:41:42.000Z | from m2cgen import ast
from m2cgen.assemblers import utils
from m2cgen.assemblers.base import ModelAssembler
class SVMModelAssembler(ModelAssembler):
def __init__(self, model):
super().__init__(model)
supported_kernels = {
"rbf": self._rbf_kernel,
"sigmoid": self._sigmoid... | 36.594203 | 78 | 0.611485 |
65f215d3f1021edb21b93c5509bf541af3867e90 | 439 | py | Python | 2015/02/fc_2015_02_18.py | mfwarren/FreeCoding | 58ac87f35ad2004a3514782556762ee0ed72c39a | [
"MIT"
] | null | null | null | 2015/02/fc_2015_02_18.py | mfwarren/FreeCoding | 58ac87f35ad2004a3514782556762ee0ed72c39a | [
"MIT"
] | 1 | 2015-04-27T01:43:45.000Z | 2015-04-27T01:43:45.000Z | 2015/02/fc_2015_02_18.py | mfwarren/FreeCoding | 58ac87f35ad2004a3514782556762ee0ed72c39a | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# imports go here
import platform
import logging
from logging.handlers import SysLogHandler
#
# Free Coding session for 2015-02-18
# Written by Matt Warren
#
address = '/dev/log'
if platform.system() == 'Darwin':
address = "/var/run/syslog"
handler = SysLogHandler(address)
logger = logging... | 18.291667 | 42 | 0.749431 |
c964da7c34142f6d7e892239ef3da1edcf812d39 | 925 | py | Python | apps/external_apps/microblogging/forms.py | indro/t2c | 56482ad4aed150f29353e054db2c97b567243bf8 | [
"MIT"
] | 3 | 2015-12-25T14:45:36.000Z | 2016-11-28T09:58:03.000Z | apps/external_apps/microblogging/forms.py | indro/t2c | 56482ad4aed150f29353e054db2c97b567243bf8 | [
"MIT"
] | null | null | null | apps/external_apps/microblogging/forms.py | indro/t2c | 56482ad4aed150f29353e054db2c97b567243bf8 | [
"MIT"
] | null | null | null | from django import forms
from microblogging.models import Tweet, tweet
try:
from notification import models as notification
except ImportError:
notification = None
class TweetForm(forms.ModelForm):
text = forms.CharField(label='',
widget=forms.Textarea(attrs={
'rows': '4',
... | 26.428571 | 66 | 0.604324 |
d76b51ee48f57558cf95853d6380c48741721745 | 2,084 | py | Python | datasets/imagenet.py | hyang1990/sparsity_quantization_joint | 947acb4df251ba3e47954738c54f143558befdcc | [
"MIT"
] | 13 | 2020-07-21T16:21:26.000Z | 2022-01-17T06:29:39.000Z | datasets/imagenet.py | hyang1990/sparsity_quantization_joint | 947acb4df251ba3e47954738c54f143558befdcc | [
"MIT"
] | null | null | null | datasets/imagenet.py | hyang1990/sparsity_quantization_joint | 947acb4df251ba3e47954738c54f143558befdcc | [
"MIT"
] | 3 | 2020-07-27T06:46:32.000Z | 2021-04-15T09:15:29.000Z | import torch
from torch.utils.data.sampler import SubsetRandomSampler
from torchvision import datasets, transforms
import os
def get_data_loaders(data_dir, batch_size=128, val_batch_size=128, num_workers=0, nsubset=-1,
normalize=None):
traindir = os.path.join(data_dir, 'train')
valdir = o... | 35.931034 | 95 | 0.659789 |
2bbfa692ad344ba0057e6f818e18ac31f6e87960 | 21,464 | py | Python | programs/tfFromTrim06.py | CLARIAH/wp6-missieven | 67e7d0123d37cce36be5353801b90010d4ad4be0 | [
"MIT"
] | 1 | 2021-04-27T16:22:51.000Z | 2021-04-27T16:22:51.000Z | programs/tfFromTrim06.py | CLARIAH/wp6-missieven | 67e7d0123d37cce36be5353801b90010d4ad4be0 | [
"MIT"
] | null | null | null | programs/tfFromTrim06.py | CLARIAH/wp6-missieven | 67e7d0123d37cce36be5353801b90010d4ad4be0 | [
"MIT"
] | null | null | null | import sys
import collections
import re
import xml.etree.ElementTree as ET
from tf.fabric import Fabric
from tf.convert.walker import CV
from lib import (
XML_DIR,
OUT_DIR,
REPO,
META_DECL06 as META_DECL,
WHITE_RE,
ADD_LB_ELEMENTS,
A2Z,
parseArgs,
initTree,
getVolumes,
ge... | 25.43128 | 86 | 0.544586 |
3a345291877b080a5cee102d9995cb364f08f246 | 8,757 | py | Python | azure-mgmt-monitor/azure/mgmt/monitor/models/event_data_py3.py | JonathanGailliez/azure-sdk-for-python | f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b | [
"MIT"
] | 1 | 2021-09-07T18:36:04.000Z | 2021-09-07T18:36:04.000Z | azure-mgmt-monitor/azure/mgmt/monitor/models/event_data_py3.py | JonathanGailliez/azure-sdk-for-python | f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b | [
"MIT"
] | 2 | 2019-10-02T23:37:38.000Z | 2020-10-02T01:17:31.000Z | azure-mgmt-monitor/azure/mgmt/monitor/models/event_data_py3.py | JonathanGailliez/azure-sdk-for-python | f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b | [
"MIT"
] | null | null | null | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 48.115385 | 95 | 0.654219 |
82d75b930d2ac50b80c2bf6810a6f8feb9e6adf7 | 1,243 | gyp | Python | ion/ion.gyp | mdemoret/Snapshot | 987b3d45532f3644d35d858e036542d5691953ce | [
"Apache-2.0"
] | null | null | null | ion/ion.gyp | mdemoret/Snapshot | 987b3d45532f3644d35d858e036542d5691953ce | [
"Apache-2.0"
] | null | null | null | ion/ion.gyp | mdemoret/Snapshot | 987b3d45532f3644d35d858e036542d5691953ce | [
"Apache-2.0"
] | null | null | null | #
# Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | 30.317073 | 79 | 0.663717 |
ff37143b03aa800f807f8d55fd4264e9d6930ebb | 585 | py | Python | parser/team08/Tytus_SQLPARSER_G8/Instrucciones/FunctionMathematical/Lcm.py | strickergt128/tytus | 93216dd9481ea0775da1d2967dc27be66872537f | [
"MIT"
] | null | null | null | parser/team08/Tytus_SQLPARSER_G8/Instrucciones/FunctionMathematical/Lcm.py | strickergt128/tytus | 93216dd9481ea0775da1d2967dc27be66872537f | [
"MIT"
] | null | null | null | parser/team08/Tytus_SQLPARSER_G8/Instrucciones/FunctionMathematical/Lcm.py | strickergt128/tytus | 93216dd9481ea0775da1d2967dc27be66872537f | [
"MIT"
] | null | null | null |
import math
from Instrucciones.TablaSimbolos.Instruccion import Instruccion
class Lcm(Instruccion):
def __init__(self, valor, tipo, linea, columna):
Instruccion.__init__(self,tipo,linea,columna)
self.valor = valor
def ejecutar(self, tabla, arbol):
super().ejecutar(tabla,arbol)
... | 27.857143 | 79 | 0.666667 |
80b7fe733d53cbaad50d9b240396a8c173af6b87 | 5,308 | py | Python | labelimg.py | LieCoding/SA_and-GAN | ddf80ba39029638beaa5f48054431ce032e816cc | [
"Apache-2.0"
] | 1 | 2021-03-08T13:44:53.000Z | 2021-03-08T13:44:53.000Z | labelimg.py | LieCoding/SA_and_GAN | ddf80ba39029638beaa5f48054431ce032e816cc | [
"Apache-2.0"
] | null | null | null | labelimg.py | LieCoding/SA_and_GAN | ddf80ba39029638beaa5f48054431ce032e816cc | [
"Apache-2.0"
] | null | null | null |
'''
用于毕业设计 标定图片
操作说明：单击左键选择点，单击左键两次后会得到两个坐标点，同时再图片中画出椭圆
单击右键保存数据，保存标定好的图片和坐标值
按键esc，退出程序
不改路径的情况下，运行会自动从上一次标定的图片开始标定，通过文件夹里面的文件名来判断实现的
其他说明： color的颜色格式为RGB ,但是在标定的时候显示的是BGR，所以标定时候展示的颜色和保存的颜色会有一些区别，由于不影响标定就没有再去修改
GetAngle_and_Length函数返回了画椭圆的必要参数，由于我标注的是船只，会出现一些比较奇怪的比例，我根据实际... | 29.988701 | 114 | 0.576112 |
5059893bffe36f464242f3a7b36cfacf5df0440b | 10,786 | py | Python | sdk/python/kfp/components/executor.py | hwk42/pipelines | c89ed71cf6339cdcdd957d4dca4b1f32c10db9c9 | [
"Apache-2.0"
] | 1 | 2021-08-23T19:09:56.000Z | 2021-08-23T19:09:56.000Z | sdk/python/kfp/components/executor.py | hwk42/pipelines | c89ed71cf6339cdcdd957d4dca4b1f32c10db9c9 | [
"Apache-2.0"
] | 2 | 2021-06-01T10:02:51.000Z | 2021-06-07T07:19:14.000Z | sdk/python/kfp/components/executor.py | hwk42/pipelines | c89ed71cf6339cdcdd957d4dca4b1f32c10db9c9 | [
"Apache-2.0"
] | 1 | 2021-10-17T07:27:10.000Z | 2021-10-17T07:27:10.000Z | # Copyright 2021 The Kubeflow Authors
#
# 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... | 37.845614 | 140 | 0.655665 |
72a5be19763d77e1291b8d531ce990e795d9a6d5 | 1,490 | py | Python | azurelinuxagent/pa/deprovision/factory.py | longlimsft/WALinuxAgent | abc9c2e396ce8be0e643de5659578a415d9884ce | [
"Apache-2.0"
] | 2 | 2019-05-03T21:59:45.000Z | 2021-01-19T07:17:03.000Z | azurelinuxagent/pa/deprovision/factory.py | longlimsft/WALinuxAgent | abc9c2e396ce8be0e643de5659578a415d9884ce | [
"Apache-2.0"
] | null | null | null | azurelinuxagent/pa/deprovision/factory.py | longlimsft/WALinuxAgent | abc9c2e396ce8be0e643de5659578a415d9884ce | [
"Apache-2.0"
] | null | null | null | # Copyright 2014 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... | 37.25 | 74 | 0.736913 |
a05ca7aa49e73801148bdc1390b5ceb9573ccbda | 1,012 | py | Python | tests/test_wsgi_performance.py | lidizheng/sonora | 844e77de14b5cf457325f0e2b2f01805f351a0aa | [
"Apache-2.0"
] | 178 | 2019-11-14T02:45:40.000Z | 2022-03-19T08:41:19.000Z | tests/test_wsgi_performance.py | lidizheng/sonora | 844e77de14b5cf457325f0e2b2f01805f351a0aa | [
"Apache-2.0"
] | 26 | 2019-11-03T15:28:19.000Z | 2022-01-19T18:03:22.000Z | tests/test_wsgi_performance.py | lidizheng/sonora | 844e77de14b5cf457325f0e2b2f01805f351a0aa | [
"Apache-2.0"
] | 6 | 2020-04-20T18:58:06.000Z | 2022-01-25T19:46:31.000Z | import pytest
import sonora.client
from tests import benchmark_pb2, benchmark_pb2_grpc
@pytest.mark.parametrize("size", [1, 100, 10000, 1000000])
def test_wsgi_unarycall(wsgi_benchmark, benchmark, size):
request = benchmark_pb2.SimpleRequest(response_size=size)
def perf():
for _ in range(10):
... | 25.948718 | 67 | 0.664032 |
cdef8823a925364e456bb00741cc6611d8b6aa5c | 2,601 | py | Python | hatsploit/modules/exploit/linux/generic/p2p_password_disclosure.py | enty8080/HatSplo | 57ea81c2bc73838cbf7d7062d7e665eda1143d18 | [
"MIT"
] | 139 | 2021-02-17T15:52:30.000Z | 2022-03-30T14:50:42.000Z | hatsploit/modules/exploit/linux/generic/p2p_password_disclosure.py | enty8080/HatSplo | 57ea81c2bc73838cbf7d7062d7e665eda1143d18 | [
"MIT"
] | 27 | 2021-03-24T17:14:30.000Z | 2022-03-02T18:50:43.000Z | hatsploit/modules/exploit/linux/generic/p2p_password_disclosure.py | enty8080/HatSplo | 57ea81c2bc73838cbf7d7062d7e665eda1143d18 | [
"MIT"
] | 85 | 2021-02-17T15:39:03.000Z | 2022-03-07T09:08:58.000Z | #!/usr/bin/env python3
#
# This module requires HatSploit: https://hatsploit.netlify.app
# Current source: https://github.com/EntySec/HatSploit
#
from hatsploit.lib.module import Module
from hatsploit.utils.http import HTTPClient
from hatsploit.utils.string import StringTools
class HatSploitModule(Module, HTTPClien... | 29.556818 | 93 | 0.57747 |
ce1c7abf4faacac757d8d002c6c3e4a7d637b96c | 4,958 | py | Python | Model/Wide_Resnet_AET.py | maple-research-lab/EnAET | 45872fc8704b723395e8c5a489a3157a771fc6df | [
"MIT"
] | 87 | 2019-11-22T01:53:50.000Z | 2022-03-09T02:07:33.000Z | Model/Wide_Resnet_AET.py | maple-research-lab/EnAET | 45872fc8704b723395e8c5a489a3157a771fc6df | [
"MIT"
] | 11 | 2019-11-21T15:18:08.000Z | 2022-03-12T00:05:18.000Z | Model/Wide_Resnet_AET.py | wang3702/EnAET | fd0f5f94afea0860da8671753351b09fa058ac42 | [
"MIT"
] | 9 | 2019-11-22T01:52:49.000Z | 2021-03-28T08:47:05.000Z | # /*******************************************************************************
# * Author : Xiao Wang
# * Email : wang3702@purdue.edu xiaowang20140001@gmail.com
# *******************************************************************************/
import torch
import torch.nn as nn
from Model.Mixmatch_Wide_Resnet im... | 43.876106 | 113 | 0.61315 |
498f7f7790514ae0315f1286646130d60dba9c4b | 52,471 | py | Python | pandas/tests/frame/methods/test_replace.py | timhunderwood/pandas | 0159cba6eb14983ab7eaf38ff138c3c397a6fe3b | [
"BSD-3-Clause"
] | 3 | 2020-07-02T12:59:52.000Z | 2020-08-27T20:05:44.000Z | pandas/tests/frame/methods/test_replace.py | MohamedGamal-HIZ/pandas | 148f9fd74fc71cb7509c0898883036316efc6f89 | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"MIT-0",
"ECL-2.0",
"BSD-3-Clause"
] | 1 | 2016-10-23T21:07:28.000Z | 2016-10-23T21:07:28.000Z | pandas/tests/frame/methods/test_replace.py | MohamedGamal-HIZ/pandas | 148f9fd74fc71cb7509c0898883036316efc6f89 | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"MIT-0",
"ECL-2.0",
"BSD-3-Clause"
] | 2 | 2020-12-11T05:33:38.000Z | 2022-01-16T12:42:17.000Z | from datetime import datetime
from io import StringIO
import re
from typing import Dict, List, Union
import numpy as np
import pytest
import pandas as pd
from pandas import DataFrame, Index, Series, Timestamp, date_range
import pandas._testing as tm
@pytest.fixture
def mix_ab() -> Dict[str, List[Union[int, str]]]:
... | 36.873507 | 88 | 0.493301 |
6855d735c9cbfa7daa61ab38971c45fd4546a34a | 1,052 | py | Python | nodeconductor/logging/tasks.py | p-p-m/nodeconductor | bc702302ef65c89793452f0fd6ca9a6bec79782f | [
"Apache-2.0"
] | null | null | null | nodeconductor/logging/tasks.py | p-p-m/nodeconductor | bc702302ef65c89793452f0fd6ca9a6bec79782f | [
"Apache-2.0"
] | null | null | null | nodeconductor/logging/tasks.py | p-p-m/nodeconductor | bc702302ef65c89793452f0fd6ca9a6bec79782f | [
"Apache-2.0"
] | null | null | null | import logging
from celery import shared_task
from nodeconductor.logging.log import event_logger
from nodeconductor.logging.models import BaseHook, Alert
logger = logging.getLogger(__name__)
@shared_task(name='nodeconductor.logging.process_event')
def process_event(event):
for hook in BaseHook.get_active_hook... | 30.057143 | 87 | 0.717681 |
0fc47528762c7fef14009e6c8c7efb2c0345b6fd | 2,144 | py | Python | filehand/unused_urls.py | Intelectro/filehand | c00580eabb971cb5a54b2cb70427eb9f3b089620 | [
"BSD-3-Clause"
] | null | null | null | filehand/unused_urls.py | Intelectro/filehand | c00580eabb971cb5a54b2cb70427eb9f3b089620 | [
"BSD-3-Clause"
] | null | null | null | filehand/unused_urls.py | Intelectro/filehand | c00580eabb971cb5a54b2cb70427eb9f3b089620 | [
"BSD-3-Clause"
] | null | null | null | '''
app: filehandarticles_mgr
'''
from django.conf.urls import patterns, url
urlpatterns = patterns('filehand.views',
url(r'^$', 'index', name='index'),
url(r'^newArticle/$', 'newArticle', name='newArticle'),
url(r'^articlesMgr_1/(.*)/(.*)$', 'articlesMgr_1', name='articlesMgr_1'),
url(r'^art... | 48.727273 | 107 | 0.649254 |
448a8be1b3360f101d204f5e881bdd3c8e700b9b | 6,699 | py | Python | frappe/utils/background_jobs.py | 07061999/frappe | 6e5b05852d73aea6c14d1821f8541b9397ca3ed6 | [
"MIT"
] | null | null | null | frappe/utils/background_jobs.py | 07061999/frappe | 6e5b05852d73aea6c14d1821f8541b9397ca3ed6 | [
"MIT"
] | 5 | 2020-12-04T21:22:53.000Z | 2022-03-12T00:44:22.000Z | frappe/utils/background_jobs.py | vigneshbarani/frappefg | fca03c609731c4e37f6b8312150e90d23f2a2862 | [
"MIT"
] | 1 | 2021-02-06T10:38:18.000Z | 2021-02-06T10:38:18.000Z | from __future__ import unicode_literals, print_function
import redis
from rq import Connection, Queue, Worker
from rq.logutils import setup_loghandlers
from frappe.utils import cstr
from collections import defaultdict
import frappe
import os, socket, time
from frappe import _
from six import string_types
from uuid impo... | 27.681818 | 100 | 0.736229 |
0c7b118e6f6819cf4d1ad8f8d9c8320221d64d32 | 889 | py | Python | frux_app_server/migrations/versions/299e2bc265af_favorites.py | camidvorkin/frux-app-server | 21098234a7867908250022e3e1c0580417d1ca35 | [
"Apache-2.0",
"MIT"
] | 3 | 2021-08-03T21:52:01.000Z | 2021-09-14T19:39:10.000Z | frux_app_server/migrations/versions/299e2bc265af_favorites.py | camidvorkin/frux-app-server | 21098234a7867908250022e3e1c0580417d1ca35 | [
"Apache-2.0",
"MIT"
] | null | null | null | frux_app_server/migrations/versions/299e2bc265af_favorites.py | camidvorkin/frux-app-server | 21098234a7867908250022e3e1c0580417d1ca35 | [
"Apache-2.0",
"MIT"
] | null | null | null | """Favorites
Revision ID: 299e2bc265af
Revises: 24f1df018932
Create Date: 2021-06-25 17:24:27.020289
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '299e2bc265af'
down_revision = '24f1df018932'
branch_labels = None
depends_on = None
def upgrade():
# ### ... | 25.4 | 65 | 0.68054 |
5a50f9b88c54d88234b1af30aef96f7e80c503a7 | 1,881 | py | Python | tests/test_security_http_base_optional.py | Aryabhata-Rootspring/fastapi | f6237ad05a8468ac19c591181adad38d75372c46 | [
"MIT"
] | 53,007 | 2018-12-08T10:05:29.000Z | 2022-03-31T23:30:02.000Z | tests/test_security_http_base_optional.py | Aryabhata-Rootspring/fastapi | f6237ad05a8468ac19c591181adad38d75372c46 | [
"MIT"
] | 4,155 | 2019-01-05T05:07:49.000Z | 2022-03-31T21:25:38.000Z | tests/test_security_http_base_optional.py | Aryabhata-Rootspring/fastapi | f6237ad05a8468ac19c591181adad38d75372c46 | [
"MIT"
] | 4,092 | 2018-12-09T16:21:00.000Z | 2022-03-31T07:59:45.000Z | from typing import Optional
from fastapi import FastAPI, Security
from fastapi.security.http import HTTPAuthorizationCredentials, HTTPBase
from fastapi.testclient import TestClient
app = FastAPI()
security = HTTPBase(scheme="Other", auto_error=False)
@app.get("/users/me")
def read_current_user(
credentials: Op... | 29.857143 | 81 | 0.603402 |
83ddbac0e56f820948de5b230a466080ff4543ee | 2,105 | py | Python | overcat_simple_filter.py | Botomatik/JackBot | 58651d8b5a5bcead2a2eb79849019cb4f972b7cd | [
"MIT"
] | null | null | null | overcat_simple_filter.py | Botomatik/JackBot | 58651d8b5a5bcead2a2eb79849019cb4f972b7cd | [
"MIT"
] | null | null | null | overcat_simple_filter.py | Botomatik/JackBot | 58651d8b5a5bcead2a2eb79849019cb4f972b7cd | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
'''
A bot to do some simple over categorization filtering.
Now it uses the strategy to loop over all images in all the subcategories.
That might be a very good strategy when the parent category is very full, but later on it will become very inefficient.
'''
#
# (C) Pywikipedi... | 29.647887 | 119 | 0.667933 |
edf5b2fb4be810a125154524a3ad816c57d0bd5a | 666 | py | Python | net_models/models/routing/StaticRoutes.py | ashkalikava/net_models | 1a99f6dc743665b47c4c4731bbca2a52176ded3f | [
"MIT"
] | null | null | null | net_models/models/routing/StaticRoutes.py | ashkalikava/net_models | 1a99f6dc743665b47c4c4731bbca2a52176ded3f | [
"MIT"
] | null | null | null | net_models/models/routing/StaticRoutes.py | ashkalikava/net_models | 1a99f6dc743665b47c4c4731bbca2a52176ded3f | [
"MIT"
] | 1 | 2021-08-09T06:33:28.000Z | 2021-08-09T06:33:28.000Z | # Standard Libraries
import ipaddress
# Third party packages
from pydantic import conint
from pydantic.typing import Optional
# Local package
from net_models.fields import VRF_NAME, INTERFACE_NAME
from net_models.models import VendorIndependentBaseModel
# Local module
class StaticRoute(VendorIndependentBaseModel):
... | 22.965517 | 56 | 0.8003 |
30636af2d9369f2728eef23d34c8b4942050ec1a | 13,839 | py | Python | psyneulink/core/components/mechanisms/processing/processingmechanism.py | AlirezaFarnia/PsyNeuLink | c66f8248d1391830e76c97df4b644e12a02c2b73 | [
"Apache-2.0"
] | null | null | null | psyneulink/core/components/mechanisms/processing/processingmechanism.py | AlirezaFarnia/PsyNeuLink | c66f8248d1391830e76c97df4b644e12a02c2b73 | [
"Apache-2.0"
] | null | null | null | psyneulink/core/components/mechanisms/processing/processingmechanism.py | AlirezaFarnia/PsyNeuLink | c66f8248d1391830e76c97df4b644e12a02c2b73 | [
"Apache-2.0"
] | null | null | null | # Princeton University licenses this file to You under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License. You may obtain a copy of the License at:
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writin... | 42.192073 | 120 | 0.658501 |
d3c4088ae1d3320a42dbb05c9443d0fd5816e07d | 33,629 | py | Python | TumFoodCam/misc/utils.py | felixSchober/Deep-Food | 1cac55e945949cb5a04d742b35c023379a162c34 | [
"MIT"
] | 6 | 2018-05-30T09:19:46.000Z | 2020-02-13T19:38:17.000Z | TumFoodCam/misc/utils.py | Jorba123/Deep-Food | 1cac55e945949cb5a04d742b35c023379a162c34 | [
"MIT"
] | null | null | null | TumFoodCam/misc/utils.py | Jorba123/Deep-Food | 1cac55e945949cb5a04d742b35c023379a162c34 | [
"MIT"
] | 3 | 2018-03-25T07:53:09.000Z | 2018-06-13T14:17:35.000Z | import matplotlib
# Force matplotlib to not use any Xwindows backend.
matplotlib.use('Agg')
import getpass
import os
import errno
import cv2 as cv
import numpy as np
import math
from matplotlib import pyplot as plt
from math import ceil, sqrt
import datetime
import sys
import random
from misc.pretty_tabl... | 34.455943 | 205 | 0.61438 |
d61682ee462378558a3e491f9ca0dbf43ea9b651 | 7,400 | py | Python | source/main.py | cinek810/ansible-deploy | 479883ed1fef143cad89da8422f164c46c817c20 | [
"MIT"
] | 1 | 2022-03-09T07:41:14.000Z | 2022-03-09T07:41:14.000Z | source/main.py | cinek810/ansible-deployer | 479883ed1fef143cad89da8422f164c46c817c20 | [
"MIT"
] | 20 | 2022-03-08T16:34:35.000Z | 2022-03-31T08:06:43.000Z | source/main.py | cinek810/ansible-deploy | 479883ed1fef143cad89da8422f164c46c817c20 | [
"MIT"
] | 1 | 2022-01-21T13:53:31.000Z | 2022-01-21T13:53:31.000Z | """Main module for ansible-deploy"""
import os
import sys
import argparse
import datetime
import errno
import pkg_resources
from ansible_deployer.modules.globalvars import SUBCOMMANDS
from ansible_deployer.modules.configs.config import Config
from ansible_deployer.modules.locking.locking import Locking
from ansible_de... | 46.835443 | 100 | 0.651486 |
d8f7eff9af46a50f26aeaeed8b753e75ef0aaa9e | 9,700 | py | Python | stdlibs/py2.py | omnilib/stdlibs | ce2aab5df88e3411f9c0cb99322d31877f1872b7 | [
"MIT"
] | null | null | null | stdlibs/py2.py | omnilib/stdlibs | ce2aab5df88e3411f9c0cb99322d31877f1872b7 | [
"MIT"
] | 1 | 2022-03-16T03:09:06.000Z | 2022-03-16T03:09:06.000Z | stdlibs/py2.py | omnilib/stdlibs | ce2aab5df88e3411f9c0cb99322d31877f1872b7 | [
"MIT"
] | null | null | null | # Copyright 2021 John Reese
# Licensed under the MIT license
# Generated by stdlibs/fetch.py
from typing import FrozenSet
module_names: FrozenSet[str] = frozenset(
[
"AL",
"Audio_mac",
"BaseHTTPServer",
"Bastion",
"CD",
"CDIO",
"CDROM",
"CGIHTTPServ... | 18.834951 | 41 | 0.374639 |
8279be2dd50341edc64e455825365455eb92a6b9 | 531 | py | Python | TestCase/MantisIssue/mantis0002848.py | cassie01/PumpLibrary | c2a4884a36f4c6c6552fa942143ae5d21c120b41 | [
"Apache-2.0"
] | null | null | null | TestCase/MantisIssue/mantis0002848.py | cassie01/PumpLibrary | c2a4884a36f4c6c6552fa942143ae5d21c120b41 | [
"Apache-2.0"
] | null | null | null | TestCase/MantisIssue/mantis0002848.py | cassie01/PumpLibrary | c2a4884a36f4c6c6552fa942143ae5d21c120b41 | [
"Apache-2.0"
] | null | null | null | from TestCase.check_pump_status import *
"""
test 0002848:设置无效的参数泵支持运行
软件版本：...\Sprint58\COLLIN\AUTO_TEST\all_tests
测试日期：2019-03-16
"""
checkPumpStatus()
lvp.set_infusion_parameter(1200, 12 * 60, 2)
lvp.start_infusion()
time.sleep(1)
system_status = lvp.get_system_status()
assert system_status == SystemStatus.ERunStat... | 25.285714 | 48 | 0.792844 |
661d17a8c6773f682204ed91c0811ec112d4c325 | 24,135 | py | Python | jwql/website/apps/jwql/views.py | jason-neal/jwql | 6d47d31aafd90f687bd70fb90369997faace4e18 | [
"BSD-3-Clause"
] | null | null | null | jwql/website/apps/jwql/views.py | jason-neal/jwql | 6d47d31aafd90f687bd70fb90369997faace4e18 | [
"BSD-3-Clause"
] | null | null | null | jwql/website/apps/jwql/views.py | jason-neal/jwql | 6d47d31aafd90f687bd70fb90369997faace4e18 | [
"BSD-3-Clause"
] | null | null | null | """Defines the views for the ``jwql`` web app.
In Django, "a view function, or view for short, is simply a Python
function that takes a Web request and returns a Web response" (from
Django documentation). This module defines all of the views that are
used to generate the various webpages used for the JWQL application.... | 31.061776 | 141 | 0.670893 |
abeba213f43ad4ab910f066643e8ff5b46c781d1 | 1,272 | py | Python | src/systa/utils.py | ipronald/systa | 0c46c99b9d04cea23d32ec34dd3f8ddadd320625 | [
"MIT"
] | null | null | null | src/systa/utils.py | ipronald/systa | 0c46c99b9d04cea23d32ec34dd3f8ddadd320625 | [
"MIT"
] | null | null | null | src/systa/utils.py | ipronald/systa | 0c46c99b9d04cea23d32ec34dd3f8ddadd320625 | [
"MIT"
] | null | null | null | import time
from typing import Any, Callable, TypeVar
from boltons.iterutils import is_collection
from boltons.typeutils import make_sentinel
AnyCallable = Callable[..., Any]
PredicateCallable = Callable[[AnyCallable], bool]
DecoratedClass = TypeVar("DecoratedClass")
dontcheck = make_sentinel("dontcheck", "dontche... | 24.941176 | 76 | 0.667453 |
59c9ac78a3c618b30f18501626a5f64e6e0fcbbb | 19,366 | py | Python | myenv/lib/python3.6/site-packages/smart_open/tests/test_s3.py | hermesfeet/summarize_text | ce2d42f065f01a4ff5b16df5f0fa12cd3c9eeb3d | [
"Unlicense",
"MIT"
] | 1 | 2019-02-22T21:35:48.000Z | 2019-02-22T21:35:48.000Z | myenv/lib/python3.6/site-packages/smart_open/tests/test_s3.py | hermesfeet/summarize_text | ce2d42f065f01a4ff5b16df5f0fa12cd3c9eeb3d | [
"Unlicense",
"MIT"
] | null | null | null | myenv/lib/python3.6/site-packages/smart_open/tests/test_s3.py | hermesfeet/summarize_text | ce2d42f065f01a4ff5b16df5f0fa12cd3c9eeb3d | [
"Unlicense",
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import logging
import gzip
import io
import os
import uuid
import unittest
import boto3
import botocore.client
import boto.s3.bucket
import mock
import moto
import smart_open
import smart_open.s3
BUCKET_NAME = 'test-smartopen-{}'.format(uuid.uuid4().hex) # generate random bucket (avoid race... | 36.402256 | 113 | 0.646907 |
2a01406436d0a66acb01206313924cdfb93dea73 | 4,949 | py | Python | vega/trainer/callbacks/visual_callback.py | jie311/vega | 1bba6100ead802697e691403b951e6652a99ccae | [
"MIT"
] | null | null | null | vega/trainer/callbacks/visual_callback.py | jie311/vega | 1bba6100ead802697e691403b951e6652a99ccae | [
"MIT"
] | null | null | null | vega/trainer/callbacks/visual_callback.py | jie311/vega | 1bba6100ead802697e691403b951e6652a99ccae | [
"MIT"
] | null | null | null | # -*- coding:utf-8 -*-
# Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved.
# This program is free software; you can redistribute it and/or modify
# it under the terms of the MIT License.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the ... | 35.099291 | 92 | 0.629824 |
bc294475f8f94b7cd51259d075182444c6c62ddc | 5,443 | py | Python | ML_Nizar/experiment2/inhoud_model_ALTERNATIVE.py | KBNLresearch/Demosaurus | 9235e315d9eef9d8d64f94a90ab4fc8220670ef2 | [
"Apache-2.0"
] | 1 | 2020-06-25T16:39:35.000Z | 2020-06-25T16:39:35.000Z | ML_Nizar/experiment2/inhoud_model_ALTERNATIVE.py | KBNLresearch/Demosaurus | 9235e315d9eef9d8d64f94a90ab4fc8220670ef2 | [
"Apache-2.0"
] | 6 | 2020-03-06T12:31:38.000Z | 2021-09-20T15:08:17.000Z | ML_Nizar/experiment2/inhoud_model_ALTERNATIVE.py | KBNLresearch/Demosaurus | 9235e315d9eef9d8d64f94a90ab4fc8220670ef2 | [
"Apache-2.0"
] | null | null | null | from gensim.summarization import keywords
import sqlite3
import pandas as pd
from pprint import pprint
import gensim
import numpy as np
import csv
import ast
import math
### PART 1: MAKE AUTHOR EMBEDDINGS OF CONTENT BASED ON 75% OF DATA
def get_content_data():
con = sqlite3.connect('C:/Users/nizar/Downloads/demos... | 44.252033 | 447 | 0.71817 |
37ed2f288ed59e77b3b2d79965b2f48d5aec2a54 | 5,046 | py | Python | office/centos/docker/ops/loggrove/build.py | auho/docker | 3e33d8a7b24327c4e6e76195e35acd723d59666c | [
"MIT"
] | null | null | null | office/centos/docker/ops/loggrove/build.py | auho/docker | 3e33d8a7b24327c4e6e76195e35acd723d59666c | [
"MIT"
] | null | null | null | office/centos/docker/ops/loggrove/build.py | auho/docker | 3e33d8a7b24327c4e6e76195e35acd723d59666c | [
"MIT"
] | null | null | null | # Created by zhouwang on 2018/6/9.
import os
from settings import MYSQL_DB
import subprocess
import random
import string
import hashlib
import time
NEW_SUPERADMIN = False
def tools():
print('Step1: Install Tools')
command = 'yum install -y openldap openldap-devel'
print('-->', command)
status = os.sy... | 31.936709 | 129 | 0.570551 |
1d43c61c06e5bfb390c455001b94baf16f3a96d4 | 1,017 | py | Python | data/scripts/classes/block.py | DivyanshByte/2D-Minecraft | 263118044596c358a729d61d5f4fda9fce8def86 | [
"MIT"
] | 16 | 2021-07-23T16:21:04.000Z | 2022-01-08T14:29:59.000Z | data/scripts/classes/block.py | DivyanshByte/2D-Minecraft | 263118044596c358a729d61d5f4fda9fce8def86 | [
"MIT"
] | null | null | null | data/scripts/classes/block.py | DivyanshByte/2D-Minecraft | 263118044596c358a729d61d5f4fda9fce8def86 | [
"MIT"
] | 4 | 2021-08-06T06:44:03.000Z | 2021-11-21T16:42:16.000Z | import pygame
import os
from ...variables import *
pygame.init()
pygame.display.set_mode()
imgs_dir = 'data/imgs/blocks'
block_imgs = {}
for img in os.listdir(imgs_dir):
loaded_img = pygame.image.load(imgs_dir + '/' + img).convert_alpha()
loaded_img = pygame.transform.scale(loaded_img, (TILE_SIZE, TILE_SIZ... | 23.113636 | 82 | 0.677483 |
5008436aace1b8e47f6ebc012139e6ecd92acc23 | 5,668 | py | Python | src/cfnlint/rules/resources/Configuration.py | joenye/cfn-python-lint | 837aac504c58fca4a8ca0211bc57ec920c772bb4 | [
"MIT-0"
] | null | null | null | src/cfnlint/rules/resources/Configuration.py | joenye/cfn-python-lint | 837aac504c58fca4a8ca0211bc57ec920c772bb4 | [
"MIT-0"
] | null | null | null | src/cfnlint/rules/resources/Configuration.py | joenye/cfn-python-lint | 837aac504c58fca4a8ca0211bc57ec920c772bb4 | [
"MIT-0"
] | null | null | null | """
Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
SPDX-License-Identifier: MIT-0
"""
import six
from cfnlint.rules import CloudFormationLintRule
from cfnlint.rules import RuleMatch
import cfnlint.helpers
class Configuration(CloudFormationLintRule):
"""Check Base Resource Configuration"""
... | 45.709677 | 136 | 0.507586 |
fda29b960c291d4b62ee73417596ced578ef202a | 1,276 | py | Python | bms_sender/generic_libs/bms_input_handler.py | clean-code-craft-tcq-1/stream-bms-data-Aruna1396 | bf7c185966faeb8ff9ac98fe91e99d4f8152fef3 | [
"MIT"
] | null | null | null | bms_sender/generic_libs/bms_input_handler.py | clean-code-craft-tcq-1/stream-bms-data-Aruna1396 | bf7c185966faeb8ff9ac98fe91e99d4f8152fef3 | [
"MIT"
] | null | null | null | bms_sender/generic_libs/bms_input_handler.py | clean-code-craft-tcq-1/stream-bms-data-Aruna1396 | bf7c185966faeb8ff9ac98fe91e99d4f8152fef3 | [
"MIT"
] | null | null | null | INPUT_TYPES = ['local_database']
OUTPUT_TYPES = ['console']
DEFAULT_READING_NUM = 15
DEFAULT_SPEED = 1
BMS_PARAMETERS = ['charging_temperature', 'SOC', 'charge_rate']
BMS_CHECK = ['0', 'None']
def is_within_supported_types(bms_input, bms_output):
return (bms_input in INPUT_TYPES) and (bms_output in OUTPUT_TYPE... | 31.9 | 119 | 0.680251 |
478fc38412b6d68da2bbb98fd66574468f432e86 | 3,011 | py | Python | src/transformers/models/openai/__init__.py | liminghao1630/transformers | 207594be81b8e5a8589c8b11c3b236924555d806 | [
"Apache-2.0"
] | 50,404 | 2019-09-26T09:55:55.000Z | 2022-03-31T23:07:49.000Z | src/transformers/models/openai/__init__.py | liminghao1630/transformers | 207594be81b8e5a8589c8b11c3b236924555d806 | [
"Apache-2.0"
] | 13,179 | 2019-09-26T10:10:57.000Z | 2022-03-31T23:17:08.000Z | src/transformers/models/openai/__init__.py | liminghao1630/transformers | 207594be81b8e5a8589c8b11c3b236924555d806 | [
"Apache-2.0"
] | 13,337 | 2019-09-26T10:49:38.000Z | 2022-03-31T23:06:17.000Z | # flake8: noqa
# There's no way to ignore "F401 '...' imported but unused" warnings in this
# module, but to preserve other warnings. So, don't check this module at all.
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use thi... | 34.215909 | 99 | 0.722351 |
440f1b16c456056b586d6878a21c5715f5d10574 | 5,152 | py | Python | question/views.py | JCTec/CourseTaker | 30428993813bd77013b61b9508c0dd57a7d0673a | [
"MIT"
] | null | null | null | question/views.py | JCTec/CourseTaker | 30428993813bd77013b61b9508c0dd57a7d0673a | [
"MIT"
] | 6 | 2020-02-28T22:24:48.000Z | 2021-06-10T19:48:52.000Z | question/views.py | JCTec/CourseTaker | 30428993813bd77013b61b9508c0dd57a7d0673a | [
"MIT"
] | null | null | null | from django.views.decorators.csrf import csrf_exempt
from rest_framework.status import (
HTTP_400_BAD_REQUEST,
HTTP_404_NOT_FOUND,
HTTP_200_OK
)
from rest_framework.response import Response
from rest_framework.views import APIView
from django.shortcuts import get_object_or_404
from django.db.models import Q... | 29.272727 | 100 | 0.672748 |
818029fd71d75982243349b0e5c4c0e91cd90dfd | 2,766 | py | Python | homework-12345/homework3/test_dropout.py | easilylazy/pattern-recognition | 2b95689bb3f34e4821a0211b19b76164aa6e615f | [
"MIT"
] | 2 | 2021-03-07T14:40:23.000Z | 2021-03-08T08:51:01.000Z | homework-12345/homework3/test_dropout.py | easilylazy/pattern-recognition | 2b95689bb3f34e4821a0211b19b76164aa6e615f | [
"MIT"
] | null | null | null | homework-12345/homework3/test_dropout.py | easilylazy/pattern-recognition | 2b95689bb3f34e4821a0211b19b76164aa6e615f | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
import tensorflow.compat.v1 as tf
from datetime import datetime
tf.disable_eager_execution()
from network import Network
from solver import train, test
from plot import plot_loss_and_acc
(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()
def ... | 29.425532 | 107 | 0.75235 |
81d70f0b5c6575868d4b515b20863aec78fa85b2 | 1,174 | py | Python | Problem 4_1.py | rghvat/-TitlePython-Programming-A-Concise-Introduction | 70019b068b44fa961d4a398b5836d2ebba00ea12 | [
"BSD-3-Clause"
] | null | null | null | Problem 4_1.py | rghvat/-TitlePython-Programming-A-Concise-Introduction | 70019b068b44fa961d4a398b5836d2ebba00ea12 | [
"BSD-3-Clause"
] | null | null | null | Problem 4_1.py | rghvat/-TitlePython-Programming-A-Concise-Introduction | 70019b068b44fa961d4a398b5836d2ebba00ea12 | [
"BSD-3-Clause"
] | null | null | null | """
Problem 4_1:
Write a function that will sort an alphabetic list (or list of words) into
alphabetical order. Make it sort independently of whether the letters are
capital or lowercase. First print out the wordlist, then sort and print out
the sorted list.
Here is my run on the list firstline below (note that the w... | 40.482759 | 79 | 0.635434 |
03682aca5a6c80e47408a7026c8d29918ab114bc | 4,109 | py | Python | models_jittor/sequencer.py | liuruiyang98/Jittor-MLP | b86656b65cf5f18ba9eb760d1f7565ed95e7e96e | [
"MIT"
] | 49 | 2021-10-06T11:22:19.000Z | 2022-03-25T03:01:10.000Z | models_jittor/sequencer.py | liuruiyang98/Jittor-MLP | b86656b65cf5f18ba9eb760d1f7565ed95e7e96e | [
"MIT"
] | 2 | 2021-11-08T08:06:35.000Z | 2022-02-18T09:23:07.000Z | models_jittor/sequencer.py | liuruiyang98/Jittor-MLP | b86656b65cf5f18ba9eb760d1f7565ed95e7e96e | [
"MIT"
] | 7 | 2021-10-10T03:25:27.000Z | 2022-03-08T10:44:15.000Z | import jittor as jt
from jittor import nn
from .einops_my.layers.jittor import Reduce
sequencer_settings = {
'S': [[4, 3, 8, 3], [192, 384, 384, 384], [48, 96, 96, 96], 3],
'M': [[4, 3, 14, 3], [192, 384, 384, 384], [48, 96, 96, 96], 3],
'L': [[8, 8, 16, 4], [192, 384, 384, 384], [48, 96, 96, 96], 3]
}
... | 36.6875 | 146 | 0.57873 |
65174380626282ceddeff858a1ec098171d82967 | 1,272 | py | Python | tensor2tensor/utils/hparams_lib_test.py | kpe/tensor2tensor | 453c473030c354a3d9a4c27b12bcec8942334bf4 | [
"Apache-2.0"
] | 34 | 2018-12-19T01:00:57.000Z | 2021-03-26T09:36:37.000Z | tensor2tensor/utils/hparams_lib_test.py | kpe/tensor2tensor | 453c473030c354a3d9a4c27b12bcec8942334bf4 | [
"Apache-2.0"
] | 11 | 2018-12-25T03:37:59.000Z | 2021-08-25T14:43:58.000Z | tensor2tensor/utils/hparams_lib_test.py | kpe/tensor2tensor | 453c473030c354a3d9a4c27b12bcec8942334bf4 | [
"Apache-2.0"
] | 9 | 2018-12-27T08:00:44.000Z | 2020-06-08T03:05:14.000Z | # coding=utf-8
# Copyright 2019 The Tensor2Tensor Authors.
#
# 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... | 28.266667 | 74 | 0.747642 |
ba7a70487421614b5c3ebcef21f136b2beea08e6 | 1,628 | py | Python | 2/2-1. FrozenLake.py | Wonjuseo/Project101 | 8c49601e34f56035acd198a09428fa71f6606ca7 | [
"Apache-2.0"
] | 8 | 2017-04-22T01:56:17.000Z | 2021-02-21T11:12:46.000Z | 2/2-1. FrozenLake.py | Wonjuseo/Project101 | 8c49601e34f56035acd198a09428fa71f6606ca7 | [
"Apache-2.0"
] | null | null | null | 2/2-1. FrozenLake.py | Wonjuseo/Project101 | 8c49601e34f56035acd198a09428fa71f6606ca7 | [
"Apache-2.0"
] | 1 | 2017-08-19T09:59:40.000Z | 2017-08-19T09:59:40.000Z | import gym
import numpy as np
import matplotlib.pyplot as plt
from gym.envs.registration import register
import random as pr
def rargmax(vector):
# random argmax
m = np.max(vector)
indices = np.nonzero(vector == m)[0]
return pr.choice(indices)
# Reward Update Q
# Algorithm
# For each s,a initialize ta... | 25.84127 | 63 | 0.681818 |
879bcf81d8136ff4bb1f90a9312ff5c7812fdfb8 | 4,298 | py | Python | youtube_dl/extractor/redtube.py | NessDan/youtube-dl | 62280188e6fa692f1dd1253eb21eb4b7a5e5fc20 | [
"Unlicense"
] | 24 | 2017-03-17T10:27:12.000Z | 2022-02-16T05:55:50.000Z | youtube_dl/extractor/redtube.py | travis-south/youtube-dl | dc89f968330fe9b2f0e56b07febc8cd57005f2c0 | [
"Unlicense"
] | 7 | 2017-07-26T08:15:27.000Z | 2018-09-20T12:56:53.000Z | youtube_dl/extractor/redtube.py | travis-south/youtube-dl | dc89f968330fe9b2f0e56b07febc8cd57005f2c0 | [
"Unlicense"
] | 3 | 2017-03-17T10:27:13.000Z | 2019-01-28T01:19:17.000Z | from __future__ import unicode_literals
import re
from .common import InfoExtractor
from ..compat import compat_str
from ..utils import (
ExtractorError,
int_or_none,
str_to_int,
unified_strdate,
)
class RedTubeIE(InfoExtractor):
_VALID_URL = r'https?://(?:(?:www\.)?redtube\.com/|embed\.redtube\... | 37.051724 | 102 | 0.515821 |
7cec3126f08de9613a813f888ca8606503846dba | 4,257 | py | Python | kubernetes/client/apis/apiextensions_api.py | jashandeep-sohi/kubernetes-python | e057f273069de445a2d5a250ac5fe37d79671f3b | [
"Apache-2.0"
] | 1 | 2020-05-08T12:41:04.000Z | 2020-05-08T12:41:04.000Z | kubernetes/client/apis/apiextensions_api.py | jashandeep-sohi/kubernetes-python | e057f273069de445a2d5a250ac5fe37d79671f3b | [
"Apache-2.0"
] | null | null | null | kubernetes/client/apis/apiextensions_api.py | jashandeep-sohi/kubernetes-python | e057f273069de445a2d5a250ac5fe37d79671f3b | [
"Apache-2.0"
] | 2 | 2021-07-09T08:49:05.000Z | 2021-08-03T18:08:36.000Z | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.10.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import sys
import os
i... | 34.056 | 119 | 0.564247 |
717d6bb79eb52627c5940e4a01c24205b6fcb3ca | 70,898 | py | Python | proplot/gridspec.py | lukelbd/panplot | 6cb47b9d5e719dfe34dfe1770538cf475b4abac8 | [
"MIT"
] | 1 | 2018-11-12T05:51:14.000Z | 2018-11-12T05:51:14.000Z | proplot/gridspec.py | lukelbd/panplot | 6cb47b9d5e719dfe34dfe1770538cf475b4abac8 | [
"MIT"
] | null | null | null | proplot/gridspec.py | lukelbd/panplot | 6cb47b9d5e719dfe34dfe1770538cf475b4abac8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
The gridspec and subplot grid classes used throughout proplot.
"""
import inspect
import itertools
import re
from collections.abc import MutableSequence
from numbers import Integral
import matplotlib.axes as maxes
import matplotlib.gridspec as mgridspec
import matplotlib.transforms as mtrans... | 43.791229 | 117 | 0.603783 |
b527d835473e5401d6277e1652ca365a496ea824 | 4,077 | py | Python | qa/rpc-tests/test_script_address2.py | aissty/rockcoin | 75e15231d3b8cbf7532741f26f6f0e5a13c223e7 | [
"MIT"
] | null | null | null | qa/rpc-tests/test_script_address2.py | aissty/rockcoin | 75e15231d3b8cbf7532741f26f6f0e5a13c223e7 | [
"MIT"
] | null | null | null | qa/rpc-tests/test_script_address2.py | aissty/rockcoin | 75e15231d3b8cbf7532741f26f6f0e5a13c223e7 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2015-2016 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
#
# Test new RockCoin multisig prefix functionality.
#
from test_framework.test_framework import Bitcoin... | 40.366337 | 93 | 0.649497 |
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