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values | gha_event_created_at timestamp[us]date 2012-06-04 01:52:49 2023-09-14 21:59:50 ⌀ | gha_created_at timestamp[us]date 2008-05-22 07:58:19 2023-08-21 12:35:19 ⌀ | gha_language stringclasses 149
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
5058a659f6e4dc1a48c20f38edcd31a2bf106d6a | 3fd3da4f11a251cc43d44d1d61ff2ffe5c82a4ce | /dlp/book/chp03/exp2/lgr_engine.py | 6e307c04289c466a1b67139e8df65e8dc7c2e6ae | [] | no_license | dumpinfo/TsBook | d95faded917bce3e024e77ff06afd30717ed9ef4 | 8fadfcd2ebf935cd49784fd27d66b2fd9f307fbd | refs/heads/master | 2023-05-27T07:56:24.149421 | 2019-07-31T20:51:52 | 2019-07-31T20:51:52 | 198,481,031 | 1 | 3 | null | 2023-05-22T21:13:31 | 2019-07-23T17:47:19 | Jupyter Notebook | UTF-8 | Python | false | false | 5,491 | py | import sys
import numpy as np
import argparse
import matplotlib.pyplot as plt
from skimage import io
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
class Lgr_Engine(object):
# 采用习惯用法定义常量
TRAIN_MODE_NEW = 1
TRAIN_MODE_CONTINUE = 2
def __init__(self, datasets_dir)... | [
"twtravel@126.com"
] | twtravel@126.com |
c0d0a3329106c66219a7078bc9372c1b203870a3 | 2ea1faced9e1b43bcd8535d1807ee34cc2f18ab6 | /custom/characters/pi_creature.py | 664d5c7017e192cc7ae5845e6f715f29f5b383f9 | [
"MIT"
] | permissive | Kef-ke/videos | f77373211e0b80636e2b94f885f225a57b522ab9 | 7121ec623bc23a7c79374b709ce10f202290d105 | refs/heads/master | 2023-02-26T04:28:02.424619 | 2021-02-04T20:08:13 | 2021-02-04T20:08:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,936 | py | import os
import logging
import numpy as np
from manimlib.constants import *
from manimlib.mobject.mobject import Mobject
from manimlib.mobject.geometry import Circle
from manimlib.mobject.svg.drawings import ThoughtBubble
from manimlib.mobject.svg.svg_mobject import SVGMobject
from manimlib.mobject.svg.tex_mobject i... | [
"grant@3blue1brown.com"
] | grant@3blue1brown.com |
1b6633abda8f6241647b674c67f2f43effcf6e68 | f576f0ea3725d54bd2551883901b25b863fe6688 | /sdk/resources/azure-mgmt-resource/azure/mgmt/resource/resources/v2022_09_01/_resource_management_client.py | 78c46093f660ccc637bdf93cc660e03d54559b91 | [
"LicenseRef-scancode-generic-cla",
"MIT",
"LGPL-2.1-or-later"
] | permissive | Azure/azure-sdk-for-python | 02e3838e53a33d8ba27e9bcc22bd84e790e4ca7c | c2ca191e736bb06bfbbbc9493e8325763ba990bb | refs/heads/main | 2023-09-06T09:30:13.135012 | 2023-09-06T01:08:06 | 2023-09-06T01:08:06 | 4,127,088 | 4,046 | 2,755 | MIT | 2023-09-14T21:48:49 | 2012-04-24T16:46:12 | Python | UTF-8 | Python | false | false | 6,359 | py | # 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 may ... | [
"noreply@github.com"
] | Azure.noreply@github.com |
8a67ee7c687543144a61a92a83fe45b0e6e5cf6e | 8130c34d546c323d6d5d2ca6b4a67330af08828f | /.history/menu_app/views_20210104163517.py | ed67bdb0daefc707cb835fb862f30af6f17daa73 | [] | no_license | lienusrob/final | ba2dad086fc97b21b537ef12df834dfadd222943 | f2726e31f1d51450e4aed8c74021c33679957b28 | refs/heads/master | 2023-02-15T01:36:54.463034 | 2021-01-07T12:47:05 | 2021-01-07T12:47:05 | 327,279,792 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,074 | py |
from .models import Cart, CartItem, MenuItem, ItemsCategory, Order, Orders, generate_order_id, Extras
from account_app.models import Profile
from .forms import AddToCartForm
from django.views.generic import ListView
from django.shortcuts import render, get_object_or_404, redirect
from django.urls import reverse
fr... | [
"lienus.rob@hotmail.de"
] | lienus.rob@hotmail.de |
c647ad69aaad7140f1fedb9b7a3ffe1d2e0cfc13 | 5a52ccea88f90dd4f1acc2819997fce0dd5ffb7d | /alipay/aop/api/domain/AlipayOpenMiniPluginuseconfigUpgradeCancelModel.py | 3118ea8237e4729922c09e91e03d17afe994b1f6 | [
"Apache-2.0"
] | permissive | alipay/alipay-sdk-python-all | 8bd20882852ffeb70a6e929038bf88ff1d1eff1c | 1fad300587c9e7e099747305ba9077d4cd7afde9 | refs/heads/master | 2023-08-27T21:35:01.778771 | 2023-08-23T07:12:26 | 2023-08-23T07:12:26 | 133,338,689 | 247 | 70 | Apache-2.0 | 2023-04-25T04:54:02 | 2018-05-14T09:40:54 | Python | UTF-8 | Python | false | false | 2,039 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class AlipayOpenMiniPluginuseconfigUpgradeCancelModel(object):
def __init__(self):
self._bundle_id = None
self._plugin_dev_version = None
self._plugin_id = None
@property
... | [
"jishupei.jsp@alibaba-inc.com"
] | jishupei.jsp@alibaba-inc.com |
652d58b139e28f1b7cf055b112beb886032bfb02 | 24fe1f54fee3a3df952ca26cce839cc18124357a | /servicegraph/lib/python2.7/site-packages/acimodel-4.0_3d-py2.7.egg/cobra/modelimpl/actrl/rulehitpart15min.py | 66e58d61d7c73ba7ae0d1bd9e6f7ff7d89f67e18 | [] | no_license | aperiyed/servicegraph-cloudcenter | 4b8dc9e776f6814cf07fe966fbd4a3481d0f45ff | 9eb7975f2f6835e1c0528563a771526896306392 | refs/heads/master | 2023-05-10T17:27:18.022381 | 2020-01-20T09:18:28 | 2020-01-20T09:18:28 | 235,065,676 | 0 | 0 | null | 2023-05-01T21:19:14 | 2020-01-20T09:36:37 | Python | UTF-8 | Python | false | false | 37,639 | py | # coding=UTF-8
# **********************************************************************
# Copyright (c) 2013-2019 Cisco Systems, Inc. All rights reserved
# written by zen warriors, do not modify!
# **********************************************************************
from cobra.mit.meta import ClassMeta
from cobra.m... | [
"rrishike@cisco.com"
] | rrishike@cisco.com |
46ff6892318a8f620f3f5a4253283571209c1306 | 244ecfc2017a48c70b74556be8c188e7a4815848 | /res/scripts/client/gui/scaleform/genconsts/store_types.py | fd089635ab42147325cfbdd74cf841ef9186c6c0 | [] | no_license | webiumsk/WOT-0.9.12 | c1e1259411ba1e6c7b02cd6408b731419d3174e5 | 5be5fd9186f335e7bae88c9761c378ff5fbf5351 | refs/heads/master | 2021-01-10T01:38:36.523788 | 2015-11-18T11:33:37 | 2015-11-18T11:33:37 | 46,414,438 | 1 | 0 | null | null | null | null | WINDOWS-1250 | Python | false | false | 435 | py | # 2015.11.18 11:55:31 Střední Evropa (běžný čas)
# Embedded file name: scripts/client/gui/Scaleform/genConsts/STORE_TYPES.py
class STORE_TYPES(object):
SHOP = 'shop'
INVENTORY = 'inventory'
# okay decompyling c:\Users\PC\wotsources\files\originals\res\scripts\client\gui\scaleform\genconsts\store_types.pyc
# ... | [
"info@webium.sk"
] | info@webium.sk |
4baf5c50a2b3b76c1f6eb06176ca93783ae8eb87 | 920b9cb23d3883dcc93b1682adfee83099fee826 | /pipeline/contrib/periodic_task/migrations/0005_merge_20200721_1915.py | dd9b8e04c3328ae58b83bfd74e8fef32005589b9 | [
"MIT",
"LGPL-2.1-or-later",
"LGPL-3.0-only"
] | permissive | TencentBlueKing/bk-itsm | f817fb166248d3059857b57d03e8b5ec1b78ff5b | 2d708bd0d869d391456e0fb8d644af3b9f031acf | refs/heads/master | 2023-08-31T23:42:32.275836 | 2023-08-22T08:17:54 | 2023-08-22T08:17:54 | 391,839,825 | 100 | 86 | MIT | 2023-09-14T08:24:54 | 2021-08-02T06:35:16 | Python | UTF-8 | Python | false | false | 351 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.24 on 2020-07-21 19:15
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('periodic_task', '0003_auto_20200212_1554'),
('periodic_task', '0004_auto_20191213_0828'),
... | [
"1758504262@qq.com"
] | 1758504262@qq.com |
953270f8770e55eef35a29e9e2d9cd7532043179 | 3b786d3854e830a4b46ee55851ca186becbfa650 | /SystemTesting/pylib/vmware/vsphere/vm/vnic/vnic_facade.py | 3e8f86aea57fcd931d31e4c7a6ca06c8170a1f71 | [] | no_license | Cloudxtreme/MyProject | d81f8d38684333c22084b88141b712c78b140777 | 5b55817c050b637e2747084290f6206d2e622938 | refs/heads/master | 2021-05-31T10:26:42.951835 | 2015-12-10T09:57:04 | 2015-12-10T09:57:04 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 760 | py | import vmware.common.base_facade as base_facade
import vmware.common.constants as constants
import vmware.vsphere.vm.vnic.vnic as vnic
import vmware.vsphere.vm.vnic.api.vnic_api_client as vnic_api_client
class VnicFacade(vnic.Vnic, base_facade.BaseFacade):
DEFAULT_EXECUTION_TYPE = constants.ExecutionType.API
... | [
"bpei@vmware.com"
] | bpei@vmware.com |
90340784aa83accff596d01938aa9bc70f8cd620 | 75958745f7fc39a58dd16c69ae724eb99e5c015b | /networker/io/__init__.py | ec666c75737f197f39e1883d75c402d59f115216 | [] | no_license | juniorsilver/networker | 6fd5cd1ab0f05db0cd790816f76626458c69939e | fc7593e3a8abfea16819fac80c40b9b28b35e176 | refs/heads/master | 2021-01-21T09:29:29.331558 | 2015-05-13T21:12:13 | 2015-05-13T21:12:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,128 | py | # -*- coding: utf-8 -*-
import ogr
import osr
import networkx as nx
import networker.geomath as gm
from networker.classes.geograph import GeoGraph
import warnings
import os
"""
Package for reading/writing networkx based GeoGraphs
Note: these wrap existing networkx functions for custom behavior
"""
# TEMPORARY FIX:
... | [
"chris.natali@gmail.com"
] | chris.natali@gmail.com |
ea12ee8caa50588efc9407f94edb961a4ff55ef2 | 3325f16c04ca8e641cbd58e396f983542b793091 | /Seção 07 - Coleções Python/Exercícios da Seção/Exercício_14.py | afcb1f6ca938a930471c3ebe3d938afd917f6b6c | [] | no_license | romulovieira777/Programacao_em_Python_Essencial | ac929fbbd6a002bcc689b8d6e54d46177632c169 | e81d219db773d562841203ea370bf4f098c4bd21 | refs/heads/master | 2023-06-11T16:06:36.971113 | 2021-07-06T20:57:25 | 2021-07-06T20:57:25 | 269,442,342 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 361 | py | """
14) Faça um programa que leia um vetor de 10 posições e verifique se existem
valores iguais e os escreva na tela.
"""
lista = []
checks = []
for i in range(10):
lista.append(int(input("Enter the value: ")))
if lista[i] in checks:
print(f"The value {lista [i]} already exists in the vector")
c... | [
"romulo.vieira777@gmail.com"
] | romulo.vieira777@gmail.com |
2dab7e137e8f4ce07a2241870aa8300e2688caa5 | 62d6a37e1fb1b224b53e14a1cf151ef0571aa20f | /orun/core/paginator.py | b34da7224a42d3c452f339c2b884d3ab4cb4fc02 | [] | no_license | katrid/orun | 4fa0f291a1ef43f16bc1857a170fc0b2e5e06739 | bfc6dae06182124ba75b1f3761d81ba8ca387dea | refs/heads/master | 2023-08-30T03:58:34.570527 | 2023-08-09T04:05:30 | 2023-08-09T04:05:30 | 66,562,767 | 14 | 4 | null | 2023-01-06T22:29:37 | 2016-08-25T14:01:44 | Python | UTF-8 | Python | false | false | 6,192 | py | import collections.abc
import inspect
import warnings
from math import ceil
from orun.utils.deprecation import RemovedInOrun31Warning
from orun.utils.functional import cached_property
from orun.utils.inspect import method_has_no_args
from orun.utils.translation import gettext_lazy as _
class UnorderedObjectListWarni... | [
"alexandre@katrid.com"
] | alexandre@katrid.com |
b7be1bb6ca41c76df7120293824688bb0ad8bff7 | a06b3954649799a1021334d24fd149913893f644 | /pythonData/pygal_learn/die_visual.py | d756be7100f4f80ae5023407cf9ce0e180603944 | [] | no_license | Ggzzhh/python_data_ex | 25e1ee9fa67c1f827db6cb8d2ba1736c0f3fedd7 | e5006455190d2a09b47b4b00bced82044b45733d | refs/heads/master | 2020-12-30T15:30:05.561267 | 2017-05-13T09:30:48 | 2017-05-13T09:30:48 | 91,149,413 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 960 | py | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
import pygal
from die import Die
# 创建一个D6一个骰子
die_1 = Die()
die_2 = Die()
die_3 = Die()
# 投掷几次骰子 并将结果存储在一个列表中
results = [die_1.roll() + die_2.roll() + die_3.roll() for x in range(50000)]
# for roll_num in range(50000):
# result = die_1.roll() + die_2.roll()
# res... | [
"471992509@qq.com"
] | 471992509@qq.com |
cc318a58adee12f9231e872ba1ea0d55e540c90f | c9ddbdb5678ba6e1c5c7e64adf2802ca16df778c | /cases/synthetic/sieve-big-8976.py | b78a447312f85a1fee31ba8b0a7055678a29662b | [] | no_license | Virtlink/ccbench-chocopy | c3f7f6af6349aff6503196f727ef89f210a1eac8 | c7efae43bf32696ee2b2ee781bdfe4f7730dec3f | refs/heads/main | 2023-04-07T15:07:12.464038 | 2022-02-03T15:42:39 | 2022-02-03T15:42:39 | 451,969,776 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 31,756 | py | # A resizable list of integers
class Vector(object):
items: [int] = None
size: int = 0
def __init__(self:"Vector"):
self.items = [0]
# Returns current capacity
def capacity(self:"Vector") -> int:
return len(self.items)
# Increases capacity of vector by one element
def incr... | [
"647530+Virtlink@users.noreply.github.com"
] | 647530+Virtlink@users.noreply.github.com |
564d659a7905c56ee291356e4ab6c7b8230bd84f | 8ad60ba96e1896eee7242376f6104ca8b2779355 | /writeNotes.py | b4696544ea318da45d8acb77f4eb33a75829ff30 | [] | no_license | capalmer1013/Music-Gen | 00517c0e78012e18bb211f6eccac776b3f5f0639 | eede84b6d809f8ef2e59a940c27b09849ad3fb01 | refs/heads/master | 2021-01-10T12:59:45.373697 | 2016-09-20T23:15:05 | 2016-09-20T23:15:05 | 51,187,074 | 6 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,397 | py | from music21 import *
import random
def adjustNotes(musicStream, noteGraph, noteStates, scaleOfNotes):
currentState = 0
firstTime = True
firstNone = True
previousNote = None
for element in musicStream:
if type(element) is note.Note:
if noteStates[currentState].nextNoteInterval i... | [
"capalmer1013@gmail.com"
] | capalmer1013@gmail.com |
35575e57bc432e8efb6cec9918b0df4b24742bd2 | 9e0105505f4746d5872090885df6064ad772b3e5 | /data/__init__.py | 2a0ace94d275f89a08d56a36549c691e06380765 | [] | no_license | wwwbq/PyTorch_YOLOv1 | 568afa4f8f508dabd9bcb35404a634985bf4a8ae | 2e86c64577e24193b117582c07a4941c2eeba8cc | refs/heads/main | 2023-08-08T00:08:42.466820 | 2021-09-13T06:25:09 | 2021-09-13T06:25:09 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,442 | py | from .voc0712 import VOCDetection, VOCAnnotationTransform, VOC_CLASSES, VOC_ROOT
from .cocodataset import coco_class_index, coco_class_labels, COCODataset, coco_root
from .config import *
import torch
import cv2
import numpy as np
def detection_collate(batch):
"""Custom collate fn for dealing with batches of image... | [
"1394571815@qq.com"
] | 1394571815@qq.com |
d3f55a32557e033ef38da81b09b7cb4100bed793 | 75cf6a9fd035883b64ca2309382e0178cf370b43 | /Empirical/python/Python-Machine-Learning-Cookbook/Chapter09/operating_on_images.py | 624f6bd593a6502d9548724902e41bf76257d6d1 | [
"MIT"
] | permissive | ygtfrdes/Program | 171b95b9f32a105185a7bf8ec6c8c1ca9d1eda9d | 1c1e30230f0df50733b160ca73510c41d777edb9 | refs/heads/master | 2022-10-08T13:13:17.861152 | 2019-11-06T04:53:27 | 2019-11-06T04:53:27 | 219,560,170 | 1 | 2 | null | 2022-09-30T19:51:17 | 2019-11-04T17:39:52 | HTML | UTF-8 | Python | false | false | 840 | py | #!/usr/bin/python
import sys
import cv2
import numpy as np
# Load and display an image -- 'forest.jpg'
input_file = sys.argv[1]
img = cv2.imread(input_file)
cv2.imshow('Original', img)
# Cropping an image
h, w = img.shape[:2]
start_row, end_row = int(0.21*h), int(0.73*h)
start_col, end_col= int(0.37*w), int(0.92*w)
... | [
"githubfortyuds@gmail.com"
] | githubfortyuds@gmail.com |
a7a4adefb01c6cb1323e7cdef21c873d7480722b | 4b44a299bafbd4ca408ce1c89c9fe4a449632783 | /python3/13_OOP/45_Stack_Implementation.py | 54e259b309ec4357f1ef7a90f62e146d97ff0e7a | [] | no_license | umunusb1/PythonMaterial | ecd33d32b2de664eaaae5192be7c3f6d6bef1d67 | 1e0785c55ccb8f5b9df1978e1773365a29479ce0 | refs/heads/master | 2023-01-23T23:39:35.797800 | 2020-12-02T19:29:00 | 2020-12-02T19:29:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 797 | py | #!/usr/bin/python
"""
Purpose: Stack Abstract Data Type (ADT) Implementation
"""
__author__ = 'Udhay Prakash'
class Stack(object):
def __init__(self):
self.items = []
def is_empty(self):
return self.items == []
def push(self, item):
self.items.append(item)
def pop(self):
... | [
"uday3prakash@gmail.com"
] | uday3prakash@gmail.com |
edae65986d6a1560729eb48d8220695d8cbc2c46 | c8c77f6cc6c032daf179ea2138e4dda5473b426b | /greengrass/connector-splunk-integration-usage.py | 6ca2bd9ed2c8f2150e56d40427b78be9c0870c50 | [] | no_license | arunmastermind/AWS-examples-using-BOTO3 | b411a6c96011ab58a66952a53fa2938cb58d5135 | e8390094374c10902bab016a21caba75ea179b5a | refs/heads/master | 2020-09-30T13:34:33.657621 | 2019-12-11T12:37:44 | 2019-12-11T12:37:44 | 227,297,211 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 584 | py | import greengrasssdk
import time
import json
iot_client = greengrasssdk.client('iot-data')
send_topic = 'splunk/logs/put'
def create_request_with_all_fields():
return {
"request": {
"event": "Access log test message."
},
"id" : "req_123"
}
def publish_basic_message():
... | [
"arunmastermind.sci@gmail.com"
] | arunmastermind.sci@gmail.com |
54dbb2a8873737736442a128a492910cd1652952 | f0d713996eb095bcdc701f3fab0a8110b8541cbb | /bHTb8p5nybCrjFPze_14.py | 986430a967f0a35a93008b2621730ca57dff17c3 | [] | no_license | daniel-reich/turbo-robot | feda6c0523bb83ab8954b6d06302bfec5b16ebdf | a7a25c63097674c0a81675eed7e6b763785f1c41 | refs/heads/main | 2023-03-26T01:55:14.210264 | 2021-03-23T16:08:01 | 2021-03-23T16:08:01 | 350,773,815 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 972 | py | """
Write a function that, given the start `start_num` and end `end_num` values,
return a list containing all the numbers **inclusive** to that range. See
examples below.
### Examples
inclusive_list(1, 5) ➞ [1, 2, 3, 4, 5]
inclusive_list(2, 8) ➞ [2, 3, 4, 5, 6, 7, 8]
inclusive_list(10, 20) ➞ ... | [
"daniel.reich@danielreichs-MacBook-Pro.local"
] | daniel.reich@danielreichs-MacBook-Pro.local |
2fce0f82079f858b53ea55fa3b7abaf269ea7f25 | e5e61ff01a648a7cc7e05b56cd4ed2e2898c9f4b | /ner/ner.py | 4ddbbad0eef31b7b22cfdbf69c4edfe5eb2c4900 | [] | no_license | mhw32/adaware-nlp | 7eb3792b58ffa72e8f850a5d7a7b530fdd806ceb | b6233ee3d9bc3ac9f09763e05482e858d9e258c9 | refs/heads/master | 2021-06-13T10:06:47.146317 | 2016-12-09T01:36:57 | 2016-12-09T01:36:57 | 67,244,971 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,392 | py | ''' Name Entity Recognition
Model: Convolutional Neural Network
- Conv --> Pool --> Conv --> Pool --> FNN
- input: n-gram*300
- conv(1): 4 kernels (2*41 size)
- pool(1): horiz. and vert pooling dim = 2
- conv(2): 8 kernels (1*21 size)
- pool(2): horiz = 2, vert = 1
... | [
"me@mikewuis.me"
] | me@mikewuis.me |
6ee7e8d71711d7de51f8b41a2130d42a5b7b2729 | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p03576/s733417101.py | 3b883f7667b43f3b4f02016818ff5c5fb7e59ba4 | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,307 | py | if __name__ == "__main__":
INF = 40 ** 18 + 1
N, K = map(int, input().split())
Point = list()
for i in range(N):
Point.append(list(map(int, input().split())))
# 四角形の頂点を２点選んでその中にK点含まれてて、面積が小さければ更新
ans = INF
# iは1点目のx, jは1点目のy、kは2点目のx, lは2点目のy
for i in range(N):
for j in r... | [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
a9657a280df47d5ead4b0972b0bf0e1deaee626d | 9d29861e44389e02762e6eb0457c6a415a54e26c | /tests/unit/test_http.py | 5239efe9763b7c536eea06607cd6968610a55ab9 | [
"MIT"
] | permissive | itsmemattchung/pyrax | e787d67f8a79036834575f951f8c9e81d64d8b8f | e8eff127a5c9b6e64a9a42593d5e889c3c03f81d | refs/heads/master | 2021-01-18T10:14:31.752469 | 2015-05-16T16:44:35 | 2015-05-16T16:44:35 | 21,360,598 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,112 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
import random
import unittest
from mock import patch
from mock import MagicMock as Mock
import pyrax
import pyrax.utils as utils
import pyrax.exceptions as exc
from pyrax import client
from pyrax import fakes
class HttpTest(unittest.TestCase):
def __in... | [
"ed@leafe.com"
] | ed@leafe.com |
792f58bb57d4fcd9caf0673f8a6ae7374b56de03 | 760fbdca58de7e2fb146ec60905ded7497b1812b | /ibm_whcs_sdk/insights_for_medical_literature/tests/integration/test_corpus_info.py | f187770d387893ef54954a858a34595585593035 | [
"Apache-2.0"
] | permissive | dmansjur/whcs-python-sdk | c5d28742cefc65e19a7eb5de0027fe9f59b1e689 | 110a847c91d5779df91c6562394bde557ee132e5 | refs/heads/master | 2021-05-26T21:49:44.515561 | 2020-04-07T17:17:36 | 2020-04-07T17:17:36 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,178 | py | # coding: utf-8
# Copyright 2018 IBM 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 applicabl... | [
"dcweber@us.ibm.com"
] | dcweber@us.ibm.com |
4856af7c2432ee0f2279b881f2179a4db4e49b2e | d8f49e95a3ac86019e729c12c1f476b632ddb284 | /simple_compare.py | fcd403b978bdf9952613c3ac2e2725982a2cb613 | [] | no_license | Ogweno/seismtools | f068ea98f55e59d62f2fd0fb93e719f72628eef2 | 8c263461ef61e2bb1fb4ea8e39fab2a0dc86a704 | refs/heads/master | 2021-04-15T06:52:20.149486 | 2018-03-22T18:18:58 | 2018-03-22T18:18:58 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,559 | py | #!/usr/bin/env python
"""
# ==============================================================================
# The program is to plot a simple comparison among timeseries files
# ==============================================================================
"""
from __future__ import division, print_function
import os
im... | [
"fsilva@usc.edu"
] | fsilva@usc.edu |
5625a58e477a788afe595f68337073388c16e03f | cd94613036a3f265156d53bc79424a58288c07bf | /jirafapp/contrib/sites/migrations/0003_set_site_domain_and_name.py | 47e1ef87361ad75a8eaf376af86666cf1da97d6e | [
"MIT"
] | permissive | aleducode/jirafapp | 5dad50bcd85a7519be04f1c8ca36151119e382b7 | 94f9dd59061b153c0feaa1cd0b38b58170ab4d93 | refs/heads/master | 2021-07-12T18:11:29.561640 | 2020-05-14T14:13:51 | 2020-05-14T14:13:51 | 216,982,168 | 0 | 0 | MIT | 2020-10-27T22:01:32 | 2019-10-23T06:16:25 | Python | UTF-8 | Python | false | false | 1,007 | py | """
To understand why this file is here, please read:
http://cookiecutter-django.readthedocs.io/en/latest/faq.html#why-is-there-a-django-contrib-sites-directory-in-cookiecutter-django
"""
from django.conf import settings
from django.db import migrations
def update_site_forward(apps, schema_editor):
"""Set site d... | [
"ducode@outlook.com"
] | ducode@outlook.com |
d503520919c2dc6ddde8924d7a544216455109ec | 5ed389c1f3fc175aa73478fc3dcba4101520b80b | /python/spoonacular/com/spoonacular/client/model/inline_response20034.py | 4b13d18f19f2ea72909d30d2797eabbd8bd20bd8 | [
"MIT"
] | permissive | jvenlin/spoonacular-api-clients | fae17091722085017cae5d84215d3b4af09082aa | 63f955ceb2c356fefdd48ec634deb3c3e16a6ae7 | refs/heads/master | 2023-08-04T01:51:19.615572 | 2021-10-03T13:30:26 | 2021-10-03T13:30:26 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,038 | py | # coding: utf-8
"""
spoonacular API
The spoonacular Nutrition, Recipe, and Food API allows you to access over 380,000 recipes, thousands of ingredients, 800,000 food products, and 100,000 menu items. Our food ontology and semantic recipe search engine makes it possible to search for recipes using natural lang... | [
"davidurbansky@gmail.com"
] | davidurbansky@gmail.com |
baa17fdbd83b763d86144c90baa419787f9607e7 | 338376a8fbafb0e1064a3885054ad1f1428e8906 | /PythonProjects/教师学生登陆注册模块/LoginandRegiest.py | 2eaebb5c0d6a1cf032b43c962a5c625d42a0bb72 | [] | no_license | li-mo-feng/Python | 2ed6eaf7dcc28989a24f8683ae43c700d6c75b40 | 5bc50cd3217e5e9a4da447d4db4cc14b35486f3e | refs/heads/master | 2020-03-30T00:20:47.681578 | 2018-09-27T02:36:12 | 2018-09-27T02:36:12 | 150,518,054 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,776 | py | # 教师端注册与登陆
# 先定义老师这个类的各种属性
# 然后定义登陆系统
# 首先连接数据库
# 之后对于输入值的判断,因为只要密码对应账号在库内找不到就可以直接返回"密码或者账号错误"
# 如果找得到那么提示登陆成功
import pymysql
from Teacher_infor import Teacher
from connsql import conn_infor
#TF是我将教师这个类独立成包
# class Teacher():#先定义一个类,叫做老师
#
# def __init__(self,teacher_name,teacher_password):#然后初始化对象
# sel... | [
"li-mo-feng@outlook.com"
] | li-mo-feng@outlook.com |
98b73fffa8bb1d5b6338f90798d6397fa40c31a3 | c1f6de6ba19e5d288e3b3ed60ba731992549d090 | /triggerflow/service/eventsources/rabbit.py | 7953aaab8ed4cead71faae66cfa0ff4385d8ae5c | [
"Apache-2.0"
] | permissive | aslom/triggerflow | 2d74ad6996806418fdd54d47111028a7d60e5e74 | 861c32f5a6004c6e55e270d24e19f58adbf3bfff | refs/heads/master | 2022-11-06T03:20:54.860109 | 2020-06-23T12:45:30 | 2020-06-23T12:45:30 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,520 | py | import json
import pika
import logging
from multiprocessing import Queue
from threading import Thread
from .model import EventSourceHook
logging.getLogger('pika').setLevel(logging.CRITICAL)
class RabbitMQEventSource(EventSourceHook):
def __init__(self,
event_queue: Queue,
amqp_... | [
"aitor.a98@gmail.com"
] | aitor.a98@gmail.com |
e849b0cace7a406a2d69f5f4f28bcd8c6e600e50 | 255e19ddc1bcde0d3d4fe70e01cec9bb724979c9 | /dockerized-gists/9478366/snippet.py | bccbc0261205470d6a8c9cdc16908bb1536818ac | [
"MIT"
] | permissive | gistable/gistable | 26c1e909928ec463026811f69b61619b62f14721 | 665d39a2bd82543d5196555f0801ef8fd4a3ee48 | refs/heads/master | 2023-02-17T21:33:55.558398 | 2023-02-11T18:20:10 | 2023-02-11T18:20:10 | 119,861,038 | 76 | 19 | null | 2020-07-26T03:14:55 | 2018-02-01T16:19:24 | Python | UTF-8 | Python | false | false | 2,262 | py | """
Implement a queue with two stacks
Interview practice from coding for interviews - March 2014
"""
class Staqueue(object):
""" Implements a queue with two stacks
One stack is used for enqueing, and the other dequeing. If an enqueue is requested
while the dequeue stack is populated, all items are popp... | [
"gistshub@gmail.com"
] | gistshub@gmail.com |
02eca684692e4b7720bc4402dfdf215a05ac8173 | 5164ce3d286d6be1153337cda8c358283733e45a | /pytorch_forecasting/utils.py | 310a85634c913420b0f960cb758e61232add7d26 | [
"MIT"
] | permissive | JakeForsey/pytorch-forecasting | f439444aa40f47fdcf82b507b3e7aa1a01b14d04 | e5291df3dd8f8d72ecd2b21869f69cebf9456028 | refs/heads/master | 2023-03-04T13:16:27.595268 | 2021-02-05T17:28:22 | 2021-02-05T17:28:22 | 309,814,275 | 0 | 0 | MIT | 2021-02-05T17:28:23 | 2020-11-03T21:43:19 | Python | UTF-8 | Python | false | false | 10,480 | py | """
Helper functions for PyTorch forecasting
"""
from contextlib import redirect_stdout
import os
from typing import Any, Callable, List, Tuple, Union
import torch
from torch.fft import irfft, rfft
import torch.nn.functional as F
from torch.nn.utils import rnn
def integer_histogram(
data: torch.LongTensor, min: ... | [
"beitner.jan@bcg.com"
] | beitner.jan@bcg.com |
d947167232dff30c06d07691e5727c60e2db5f56 | bdb1c323968cd9d5441a187a29ed7e25a2e4f07e | /slave_server/runner/test_scripts/bxtp_ivi_o/script/Sysbench_perf/Perf_bench.py | a7f428a8c89c417ac78922e71a7269d435c8da1e | [] | no_license | liangzhaowang/automation_system | beee351dd9f09a51e2b81617ac5bee63023ea9b8 | f77ef433c2366253dc9d9fdb7c54911cb38ed3e8 | refs/heads/master | 2022-02-19T11:07:44.047000 | 2019-09-23T02:16:00 | 2019-09-23T02:16:00 | 209,732,359 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,369 | py | #! /usr/bin/env python
# coding=utf-8
import os
import sys
import time
from runner.operation_lib.base_lib.exception_operation import kill_adb_uiautomator_block
from runner.operation_lib.base_lib.UI_interface_operation import ui_operation
from ATF import TestResult, TestLogger
def prepare_data(ui_operat, log):
kil... | [
"zhaowangx.liang@intel.com"
] | zhaowangx.liang@intel.com |
391f5cb88f8d236192328a9c90436d37df6b5afa | fdf4c826d369c8c53f500a20a7b5d4f5399600c2 | /apps/eplace/models.py | e6892b1a2bcd0d986c3b5b003995567345f99dc6 | [] | no_license | yunmanger1/attendance-board | bd806ac06cfb08972af0d19a34831b17ee8f602c | 05279002d1b02fe81356a97c9c7d3779d176ccf4 | refs/heads/master | 2016-09-05T11:31:11.086613 | 2010-09-05T10:00:04 | 2010-09-05T10:00:04 | 889,336 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,320 | py | from django.db import models
from django.contrib.auth.models import User, Group as UserGroup
from django.conf import settings
import datetime
class Subject(models.Model):
short_name = models.CharField(max_length=10)
full_name = models.CharField(max_length=100)
def __unicode__(self):
... | [
"germanilyin@gmail.com"
] | germanilyin@gmail.com |
5b8e9e53f3dd0b34578ef2a51b83d416e34fe13b | f0d713996eb095bcdc701f3fab0a8110b8541cbb | /3XtrKPMbxAf86QjjS_19.py | f7d0b7530bd7e207b1512a0faf0ec83b27b76171 | [] | no_license | daniel-reich/turbo-robot | feda6c0523bb83ab8954b6d06302bfec5b16ebdf | a7a25c63097674c0a81675eed7e6b763785f1c41 | refs/heads/main | 2023-03-26T01:55:14.210264 | 2021-03-23T16:08:01 | 2021-03-23T16:08:01 | 350,773,815 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 420 | py | """
Create a function that returns `True` if an input string contains only
uppercase or only lowercase letters.
### Examples
same_case("hello") ➞ True
same_case("HELLO") ➞ True
same_case("Hello") ➞ False
same_case("ketcHUp") ➞ False
### Notes
N/A
"""
def same_case(txt):
if txt... | [
"daniel.reich@danielreichs-MacBook-Pro.local"
] | daniel.reich@danielreichs-MacBook-Pro.local |
683b143d59344f0af195608d2c55cdb8435418fc | f0d713996eb095bcdc701f3fab0a8110b8541cbb | /7AQgJookgCdbom2Zd_13.py | 0af10b472532cc8592c516d3c078bd73c254325a | [] | no_license | daniel-reich/turbo-robot | feda6c0523bb83ab8954b6d06302bfec5b16ebdf | a7a25c63097674c0a81675eed7e6b763785f1c41 | refs/heads/main | 2023-03-26T01:55:14.210264 | 2021-03-23T16:08:01 | 2021-03-23T16:08:01 | 350,773,815 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,368 | py | """
Create a function that takes a string of words and moves the first letter of
each word to the end of it, then adds 'ay' to the end of the word. This is
called "Pig Latin" and it gets more complicated than the rules in this
particular challenge. I've intentionally kept things simple, otherwise this
would turn int... | [
"daniel.reich@danielreichs-MacBook-Pro.local"
] | daniel.reich@danielreichs-MacBook-Pro.local |
b6fe05640600e2953c43c9bf6f0609c4f8b6dfb5 | caaf56727714f8c03be38710bc7d0434c3ec5b11 | /tests/components/ozw/test_services.py | 1460e69b9c9d1f5e1c7fc06d8dca796c0bdb2e39 | [
"Apache-2.0"
] | permissive | tchellomello/home-assistant | c8db86880619d7467901fd145f27e0f2f1a79acc | ed4ab403deaed9e8c95e0db728477fcb012bf4fa | refs/heads/dev | 2023-01-27T23:48:17.550374 | 2020-09-18T01:18:55 | 2020-09-18T01:18:55 | 62,690,461 | 8 | 1 | Apache-2.0 | 2023-01-13T06:02:03 | 2016-07-06T04:13:49 | Python | UTF-8 | Python | false | false | 3,212 | py | """Test Z-Wave Services."""
from .common import setup_ozw
async def test_services(hass, light_data, sent_messages, light_msg, caplog):
"""Test services on lock."""
await setup_ozw(hass, fixture=light_data)
# Test set_config_parameter list by label
await hass.services.async_call(
"ozw",
... | [
"noreply@github.com"
] | tchellomello.noreply@github.com |
f835f313d3ddb9f8e83293d2ad72d06ef09c203f | 4fca17a3dbc3e74ba7e46bd7869eb6d138e4c422 | /_1614_Maximum_Nesting_Depth_of_the_Parentheses.py | 7498606a1bb178418562c090204942df438de06b | [] | no_license | mingweihe/leetcode | a2cfee0e004627b817a3c0321bb9c74128f8c1a7 | edff905f63ab95cdd40447b27a9c449c9cefec37 | refs/heads/master | 2021-06-19T07:46:46.897952 | 2021-05-02T05:13:17 | 2021-05-02T05:13:17 | 205,740,338 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 369 | py | class Solution(object):
def maxDepth(self, s):
"""
:type s: str
:rtype: int
"""
cur, res = 0, 0
for c in s:
if c not in ('(', ')'):
continue
if c == ')':
res = max(res, cur)
cur -= 1
e... | [
"hemingwei2017@gmail.com"
] | hemingwei2017@gmail.com |
33a26514c6145168595462d0cc84f0708ec971a9 | 1a24def8879972f21d846ffb3813632070e1cf12 | /Chapter09/0912-special.py | 5756d44e994b904406aaa4513bf0b7e8c60dc8b5 | [] | no_license | mushahiroyuki/beginning-python | 03bb78c8d3f678ce39662a44046a308c99f29916 | 4d761d165203dbbe3604173c404f70a3eb791fd8 | refs/heads/master | 2023-08-16T12:44:01.336731 | 2023-07-26T03:41:22 | 2023-07-26T03:41:22 | 238,684,870 | 5 | 4 | null | 2023-09-06T18:34:01 | 2020-02-06T12:33:26 | Python | UTF-8 | Python | false | false | 682 | py | #@@range_begin(list1) # ←この行は無視してください。本文に引用するためのものです。
#ファイル名 Chapter09/0912-special.py
class Rectangle:
def __init__ (self):
self.width = 0
self.height = 0
def __setattr__(self, name, value):
if name == 'size':
self.width, self.height = value
else:
self. ... | [
"hmusha@gmail.com"
] | hmusha@gmail.com |
49c55d916b39ee674bf0e2656fa4e7a82c82c83a | aef08a7c30c80d24a1ba5708f316153541b841d9 | /Leetcode 1399. Count Largest Group.py | 4ccd17cc52587087e221e1e977cad297a6a39e60 | [] | no_license | Chaoran-sjsu/leetcode | 65b8f9ba44c074f415a25989be13ad94505d925f | 6ff1941ff213a843013100ac7033e2d4f90fbd6a | refs/heads/master | 2023-03-19T02:43:29.022300 | 2020-11-03T02:33:25 | 2020-11-03T02:33:25 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,057 | py | """
1399. Count Largest Group
Given an integer n. Each number from 1 to n is grouped according to the sum of its digits.
Return how many groups have the largest size.
Example 1:
Input: n = 13
Output: 4
Explanation: There are 9 groups in total, they are grouped according sum of its digits of numbers from 1 to 13... | [
"wangpeng4515@gmail.com"
] | wangpeng4515@gmail.com |
96dbce39b001d1a9f5f5e5ae161ee98a4982d151 | 13fb51b1febb4e38633df0d7381e33a6bbfcab69 | /iRBM/misc/utils.py | bfc32512ac5eef939f12cd10e9b417571646dc90 | [] | no_license | milestonesvn/iRBM | cd977685bd7b681804ec51f1158ca916bd46c8b0 | f9ba2e2799a9334afa4ee6d2a5b0273302596668 | refs/heads/master | 2020-05-29T09:52:09.065262 | 2015-11-13T22:36:59 | 2015-11-13T22:36:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,467 | py | from __future__ import division, print_function
import sys
import json
import hashlib
from time import time
import theano.tensor as T
def generate_uid_from_string(value):
""" Creates unique identifier from a string. """
return hashlib.sha256(value).hexdigest()
def save_dict_to_json_file(path, dictionary... | [
"marc.cote.19@gmail.com"
] | marc.cote.19@gmail.com |
7a0de7c70ec0ca991153ccec2463bccb2b8fbd5f | 703a60185bb6d7607d3bff5afda2bbadfa96229c | /ctb/apps.py | d69668b86508ca89be86493b5c2e395e6d2444ee | [] | no_license | Eduardo-Lucas/contabilidade | 07b07f63272e564034fcd418310222a78b28c3c1 | c42d1ee2178d70a7301b57fe68329e732621abed | refs/heads/master | 2021-09-07T23:47:16.142421 | 2018-03-03T14:09:17 | 2018-03-03T14:09:17 | 102,148,759 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 484 | py | from ctb.signals import aumenta_saldo, diminui_saldo, cria_saldo_contabil
from django.apps import AppConfig
from django.db.models.signals import post_save, pre_delete
from ctb.models import LancamentoContabil, Conta
class CtbConfig(AppConfig):
name = 'ctb'
def ready(self):
post_save.connect(aumenta_... | [
"eduardolucas40@gmail.com"
] | eduardolucas40@gmail.com |
bd7d91ea314794b1572bf99381008be3c53f3a14 | 5aad0901bba97bdec3e8ad576abdcb780cc7f99e | /experiment/surprise/prediction_algorithms/item_topics.py | 3d94605f09eea26c30bc49fb4d36ae3fcce4991a | [] | no_license | HelloYym/Cross-TTCF | 544f2322d25855586bf517bb769e94ffd112e847 | d4504af02a7d0dcc1b5c59aba33ba9bc897e381d | refs/heads/master | 2021-06-19T01:04:32.401074 | 2017-06-07T05:53:29 | 2017-06-07T05:53:29 | 86,427,595 | 3 | 4 | null | null | null | null | UTF-8 | Python | false | false | 9,331 | py | from __future__ import (absolute_import, division, print_function,
unicode_literals)
import numpy as np
from six.moves import range
import copy
from .algo_base import AlgoBase
import lda
class ItemTopics(AlgoBase):
def __init__(self, n_factors=100, n_epochs=20, biased=True, lr_all=.005,
... | [
"yangym@zju.edu.cn"
] | yangym@zju.edu.cn |
04d4126d333774500063b3ff3cfc0350fa960981 | f5933c76f80025ac5b438b22da33ebc8438befa1 | /telethon/tl/custom/conversation.py | dbc3e1af6113d23499e6e8e3f525795045f34255 | [
"MIT"
] | permissive | PeterG75/Telethon | 6379477fab91dfdb43af5c16ebbd3ceaf67ff664 | f4b9c9d6d40673132248d037a4a289b3ff13f384 | refs/heads/master | 2020-03-26T17:18:35.886049 | 2018-08-14T17:14:13 | 2018-08-14T17:14:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 14,563 | py | import asyncio
import itertools
import time
from .chatgetter import ChatGetter
from ... import utils
class Conversation(ChatGetter):
"""
Represents a conversation inside an specific chat.
A conversation keeps track of new messages since it was
created until its exit and easily lets you query the
... | [
"totufals@hotmail.com"
] | totufals@hotmail.com |
3fb3d00241b7a826c1877f53f07dbd99252a91f5 | 2a54e8d6ed124c64abb9e075cc5524bb859ba0fa | /.history/4-functional-programming/3-filter()_20200422143908.py | cc36b10d99ce949c789636d3d6b363743649b35d | [] | no_license | CaptainStorm21/Python-Foundation | 01b5fbaf7a913506518cf22e0339dd948e65cea1 | a385adeda74f43dd7fb2d99d326b0be23db25024 | refs/heads/master | 2021-05-23T01:29:18.885239 | 2020-04-23T19:18:06 | 2020-04-23T19:18:06 | 253,171,611 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 47 | py | # return odd numbers
def check_odd(item):
| [
"tikana4@yahoo.com"
] | tikana4@yahoo.com |
d63be6e85c2fed1699b0b3053a704aa61eca9e9a | 0c4e79d0ca5427fa83ff7abd0ec060f4a2de121d | /examples/atbash.py | 40ab6b4a9ac983f0dcc429efcf8f72667ccf5d6b | [
"MIT"
] | permissive | discrete-void/secretpy | d5fab9643c568af72e64b6da416b33da72e08455 | 94fec3bcb4074c623ff749727f0f073f0e253ce7 | refs/heads/master | 2022-01-29T07:26:52.636575 | 2019-04-07T16:12:27 | 2019-04-07T16:12:27 | 181,974,347 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 809 | py | #!/usr/bin/python
# -*- encoding: utf-8 -*-
from secretpy import Atbash
from secretpy import CryptMachine
from secretpy import alphabet
import secretpy.cmdecorators as md
def encdec(machine, plaintext):
print(plaintext)
enc = machine.encrypt(plaintext)
print(enc)
dec = machine.decrypt(enc)
print(... | [
"maxvetrov555@yandex.ru"
] | maxvetrov555@yandex.ru |
e01cbc42c609bec4cce334d833c4814be3f00560 | f2da63de512183804290bfcabfa60eaca3649e05 | /exercises/ML/NLP/lane-NLP-in-action/02-vocabulary/src/DownloadFiles.py | 73ee39c0e5ce461a716d4cf3b6f5daef10239571 | [] | no_license | paradisepilot/statistics | a94bb57ebe453d49c06815c523e8f633423cb68e | 50daf644baca1f40253edf91083ed42d4c5f9342 | refs/heads/master | 2022-07-25T16:19:07.751886 | 2022-06-26T21:18:38 | 2022-06-26T21:18:38 | 5,012,656 | 0 | 2 | null | 2019-04-22T06:52:55 | 2012-07-13T01:11:42 | HTML | UTF-8 | Python | false | false | 1,405 | py |
import os
from urllib import request
def getBigTxt( BigTxtFILE ):
if os.path.isfile(path = BigTxtFILE) == False :
print("downloading http://norvig.com/big.txt from Internet ...")
my_download( url = "http://norvig.com/big.txt" , file = BigTxtFILE )
return( None )
def getBabyNames( BabyNamesFIL... | [
"paradisepilot@gmail.com"
] | paradisepilot@gmail.com |
77100f1c9fbfea6f3b749136eab0c8f42bc33bf6 | 4d0f3e2d7455f80caea978e4e70621d50c6c7561 | /Network/TCP/Basic/Server.py | ff706a253e45d530201d836ca089c083c1bd8f2d | [] | no_license | mhdr/PythonSamples | 66940ee2353872d2947c459e3865be42140329c6 | 1a9dccc05962033ea02b081a39cd67c1e7b29d0c | refs/heads/master | 2020-04-14T01:10:13.033940 | 2016-05-28T15:33:52 | 2016-05-28T15:33:52 | 30,691,539 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 439 | py | # Echo server program
import socket
HOST = '' # Symbolic name meaning all available interfaces
PORT = 50007 # Arbitrary non-privileged port
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.bind((HOST, PORT))
s.listen(1)
conn, addr = s.accept()
print('Connected by', addr)
while True:... | [
"ramzani.mahmood@gmail.com"
] | ramzani.mahmood@gmail.com |
c438004fdd7c6b4cc069340efc636b7addec8fad | 6b2a8dd202fdce77c971c412717e305e1caaac51 | /solutions_2458486_0/Python/Tez/dfs_hunter.py | 3026328f4778ca0789f5fef210e6af8754e53c1e | [] | no_license | alexandraback/datacollection | 0bc67a9ace00abbc843f4912562f3a064992e0e9 | 076a7bc7693f3abf07bfdbdac838cb4ef65ccfcf | refs/heads/master | 2021-01-24T18:27:24.417992 | 2017-05-23T09:23:38 | 2017-05-23T09:23:38 | 84,313,442 | 2 | 4 | null | null | null | null | UTF-8 | Python | false | false | 1,798 | py | import sys
from copy import copy
def dfs_hunt(keys, chests):
if not keys and chests:
return None
elif not chests:
return []
#keys is a list of keys
#chests is a list of tuples: (chest_num, key_type, has_keys), where has_keys is a list of key_nums
for c in chests:
if c[1] i... | [
"eewestman@gmail.com"
] | eewestman@gmail.com |
a9346abfc44c16acd60907c02d816f25e96f7805 | 77090c3eaf15342505edc228ea19769ab219e0f7 | /CNVbenchmarkeR/output/manta-datasetall/set11/workspace/pyflow.data/state/make_pyflow_task_graph.py | 9f35c7f50a86a2ff29419411662a16a71b8ad772 | [
"MIT"
] | permissive | robinwijngaard/TFM_code | 046c983a8eee7630de50753cff1b15ca3f7b1bd5 | d18b3e0b100cfb5bdd9c47c91b01718cc9e96232 | refs/heads/main | 2023-06-20T02:55:52.071899 | 2021-07-13T13:18:09 | 2021-07-13T13:18:09 | 345,280,544 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,716 | py | #!/usr/bin/env python
#
# This is a script to create a dot graph from pyflow state files.
# Usage: $script >| task_graph.dot
#
# Note that script assumes the default pyflow state files are in the script directory.
#
# This file was autogenerated by process: '/home/robin/Documents/Project/TFM_code/CNVbenchmarkeR-master'... | [
"robinwijngaard@gmail.com"
] | robinwijngaard@gmail.com |
cf852a04385b24b364b56d6f98b7469cc666d323 | 8c3755e907a8f7fbae4e5e3334aa9332f8f705bb | /python_example_scripts/exception_sorted.py | eeb41b21018d003bdd842982a1ff2ffc22f4505d | [] | no_license | xaneon/PythonProgrammingBasics | 20c9db82f621a41735856a0b008bf2c328d8e4b5 | accf4d16034d33e616b5ebe46f69c1130b09f85e | refs/heads/master | 2020-06-13T13:47:02.995326 | 2019-07-01T13:45:29 | 2019-07-01T13:45:29 | 194,235,103 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 840 | py | numbers = [13, 9, 5, 14]
words = ["mad", "dp", "bh", "bc"]
mixed_list = [1, "c", 3, 2, "a", 8, "b", 4]
numbers.sort()
words.sort()
# mixed_list.sort() # this was possible in Python2
print(numbers)
print(words)
print(mixed_list)
try:
mixed_list_sorted = sorted(mixed_list)
# mixed_list.sort()
except TypeError... | [
"bonne.habekost@gmail.com"
] | bonne.habekost@gmail.com |
8537c7bcc344812976a7f291991843fce98d598e | b19dfd6a3ba5d107d110fb936de2e91d1d92bb99 | /venv/bin/pyreverse | 7334ac05246abf737b03210ae9291b66ff3a1a3a | [] | no_license | siddhant3030/djangoecommerce | d8f5b21f29d17d2979b073fd9389badafc993b5c | b067cb1155c778fece4634d0a98631a0646dacff | refs/heads/master | 2022-12-13T15:28:39.229377 | 2019-09-28T10:30:02 | 2019-09-28T10:30:02 | 207,240,716 | 2 | 1 | null | 2022-12-11T01:34:25 | 2019-09-09T06:35:36 | Python | UTF-8 | Python | false | false | 276 | #!/Users/apple/Documents/projects/djangoecommerce/venv/bin/python3.7
# -*- coding: utf-8 -*-
import re
import sys
from pylint import run_pyreverse
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(run_pyreverse())
| [
"ssiddhant3030@gmail.com"
] | ssiddhant3030@gmail.com | |
59ba18fe8a02f922ad3ac9773874e9d7c07b11d1 | 4544f04da8dd6faf602af706e523f4929941ba41 | /oandapyV20/endpoints/orders.py | 8c52ed20b81007834572955df057f031111201dd | [
"MIT"
] | permissive | hpsilva/oanda-api-v20 | 78febf98384945ded213f517ed1bf00d696e5dcb | a8d82dff91787bde08a4d8733283a62ecd0ef7f3 | refs/heads/master | 2021-01-12T11:43:45.763974 | 2016-10-22T16:34:46 | 2016-10-22T16:34:46 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,622 | py | # -*- encoding: utf-8 -*-
"""Handle orders and pendingOrders endpoints."""
from .apirequest import APIRequest
from .decorators import dyndoc_insert, endpoint, abstractclass, extendargs
from .definitions.orders import definitions # flake8: noqa
# responses serve both testing purpose aswell as dynamic docstring repla... | [
"f.brekeveld@gmail.com"
] | f.brekeveld@gmail.com |
f626c0efc00adb2c59a247d54ba7c9096a41311d | 7b76e80f2057d78a721373e8818e153eecebe8f0 | /Examples/basic demos.py | ead9048195db7876a719dfb373328331fab7486d | [] | no_license | dev-area/Python | c744cf6eb416a74a70ad55d2bcfa8a6166adc45d | 1421a1f154fe314453d2da8b0fafae79aa5086a6 | refs/heads/master | 2023-02-01T10:37:47.796198 | 2020-10-15T19:33:49 | 2020-10-15T19:33:49 | 86,337,870 | 35 | 44 | null | 2023-01-12T09:02:59 | 2017-03-27T13:20:49 | Jupyter Notebook | UTF-8 | Python | false | false | 1,486 | py | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Thu May 11 12:04:21 2017
@author: parallels
"""
def dup_strg(val, times):
global res
res = str(val) * times
return res
def dup_str(val, times):
res = str(val) * times
return res
def print_vat(gross, vatpc=17.5, message='Summary:... | [
"liranbh@gmail.com"
] | liranbh@gmail.com |
1886e9691cbc35cc628e4805fa75b84a4574da17 | cfc7eed97d4987dbe80026205b7a127f89974d51 | /ebcli/lib/kms.py | 2d1313e20122e9d2d349791c666edeb407969de0 | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | permissive | stefansundin/awsebcli | bf71872328c4d94f073d5d0ae0740a0316d56fcf | 8e17c8ad3d24e3c4cef9a4c5dfc6cae61bd7066d | refs/heads/main | 2022-12-06T06:34:52.601029 | 2022-02-04T05:40:53 | 2022-11-20T01:38:26 | 230,182,128 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 956 | py | # Copyright 2019 Amazon.com, Inc. or its affiliates. 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. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file... | [
"aws-eb-cli@amazon.com"
] | aws-eb-cli@amazon.com |
520603f5f0f146e930ddd4204db08daa7cb2c778 | 163bbb4e0920dedd5941e3edfb2d8706ba75627d | /Code/CodeRecords/2928/60693/266976.py | dd790109bbb1fce0eb4d48d0322fbb8568bca38d | [] | no_license | AdamZhouSE/pythonHomework | a25c120b03a158d60aaa9fdc5fb203b1bb377a19 | ffc5606817a666aa6241cfab27364326f5c066ff | refs/heads/master | 2022-11-24T08:05:22.122011 | 2020-07-28T16:21:24 | 2020-07-28T16:21:24 | 259,576,640 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 576 | py | def paint_numbers(arr,v):
mincost=min(arr)
if mincost>v:return -1
max_dig=v//mincost
if v % mincost==0:
for i in range(8,-1,-1):
if arr[i]==mincost:
return str(i+1)*max_dig
highest_bit=v-mincost*(max_dig-1)
res=''
for i in range(8,-1,-1):
if arr[i]... | [
"1069583789@qq.com"
] | 1069583789@qq.com |
edef4ab794b02dfa679a484d15985e4b6b9b1f24 | a72cb4d00528fb3d2d47f99a1ccca1b8b9b41ff7 | /scripts/addons_extern/render_appleseed/ui/world.py | fa910f9bf5944d7dfd75a6db832c70c37001b391 | [] | no_license | talocan/blenderpython | b05204881183ff901ec189916a3bcc1d3e9d3e20 | 056ac37e76a1b410696c9efe4fe0ea09fdc68c0e | refs/heads/master | 2021-01-18T05:16:47.221786 | 2014-07-11T17:01:53 | 2014-07-11T17:01:53 | 21,749,332 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,302 | py |
#
# This source file is part of appleseed.
# Visit http://appleseedhq.net/ for additional information and resources.
#
# This software is released under the MIT license.
#
# Copyright (c) 2013 Franz Beaune, Joel Daniels, Esteban Tovagliari.
#
# Permission is hereby granted, free of charge, to any person obtaining a co... | [
"super3dblender@yahoo.com"
] | super3dblender@yahoo.com |
4aecc6ce184c9a7e3d27944696003de833acd480 | 0341265e8887842a3850c0efc6a8003f30fbb1a4 | /factor10/test.py | 0bca26bf774ca392982e02f126b16fcc06f0cbb7 | [] | no_license | ukamoy/factors-eight | 36e30ac3e2ef4d44aec9ad6a15313a17a68508df | 972b3351120ce02c206f53ce858ad130dbbebeee | refs/heads/master | 2020-03-13T12:45:33.881692 | 2018-05-01T17:35:41 | 2018-05-01T17:35:41 | 130,490,215 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,250 | py | import pandas as pd
def get_dv(start = 20170101,end = 20180101):
import jaqs_fxdayu
jaqs_fxdayu.patch_all()
from jaqs.data import DataView
from jaqs_fxdayu.data.dataservice import LocalDataService
import warnings
warnings.filterwarnings("ignore")
#-------------------------------... | [
"rinzia@msn.com"
] | rinzia@msn.com |
ce00d93b6deb99cd50dec54c1583883d8f0c1e67 | 7137161629a1003583744cc3bd0e5d3498e0a924 | /airflow/triggers/temporal.py | 7cd67e21f200cb18a12f09bc1ae76db2befd7c14 | [
"Apache-2.0",
"BSD-3-Clause",
"MIT"
] | permissive | jbampton/airflow | 3fca85975854eb916f16143b659a9119af143963 | dcfa14d60dade3fdefa001d10013466fe4d77f0d | refs/heads/master | 2023-05-25T22:31:49.104069 | 2021-09-18T19:18:32 | 2021-09-18T19:18:32 | 247,645,744 | 3 | 0 | Apache-2.0 | 2020-03-16T08:12:58 | 2020-03-16T08:12:57 | null | UTF-8 | Python | false | false | 3,072 | py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | [
"noreply@github.com"
] | jbampton.noreply@github.com |
618fd6d861c1ca717ba8937184538551b7c32f92 | 47ae8ae533ac0053302c2e92e3ea0e9e15b3104d | /2FinalProject/5face/206face_recognition_video.py | ffc714a33e7b8bb63ae521dd2cfa12b6986a698d | [] | no_license | bluedawn123/Study | ac039a8d549be4cd71de9084d3659315e588ac73 | 7db87e197ce13b07f2f9aeab8e74077525323e5a | refs/heads/master | 2022-12-03T21:47:07.559963 | 2020-08-27T10:23:04 | 2020-08-27T10:23:04 | 271,180,979 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,984 | py | import cv2
import face_recognition
import pickle
import time
file_name = './2FinalProject/data/son_02.mp4'
encoding_file = 'encodings.pickle'
unknown_name = 'Unknown'
# Either cnn or hog. The CNN method is more accurate but slower. HOG is faster but less accurate.
model_method = 'cnn'
output_name = 'video/output_' + ... | [
"haemilyjh@gmail.com"
] | haemilyjh@gmail.com |
d08715ca4343224c62f92c4f5765e642cf1de222 | 042bd40e554ac7fcd618c334ae98b4f43248a250 | /examples/python/cpu/tensors/tensor_dealloc_01.py | 492d94a1a21a1c90e90c05cf2f28afba95cef804 | [
"Apache-2.0"
] | permissive | kant/ocean-tensor-package | 8a62df968335de2057ff095f0910e5ad5fcff8e1 | fb3fcff8bba7f4ef6cd8b8d02f0e1be1258da02d | refs/heads/master | 2020-03-29T04:01:22.064480 | 2018-09-19T19:17:19 | 2018-09-19T19:17:19 | 149,511,923 | 0 | 0 | Apache-2.0 | 2018-09-19T21:03:14 | 2018-09-19T21:03:14 | null | UTF-8 | Python | false | false | 112 | py | import pyOcean_cpu as ocean
a = ocean.zeros([3,4],ocean.float)
print(a)
a.dealloc()
print(a)
print(a.storage)
| [
"evandenberg@us.ibm.com"
] | evandenberg@us.ibm.com |
4ed6f2f2b151adc1ec2121b43dca0bcb07bce5b0 | 4273f6c264fa5a7267557c5e0d338a2cbd27789e | /AIE23/20191103_tensorflow/Cheat/imporve.py | 1e3c8ee0d568605f86939db02c5c9377f4debbcb | [] | no_license | shcqupc/Alg_study | 874d37954ed8ed2cdb3bd492d59cd071836946f5 | 462ee12c72b7f84c5ae45aaf0f65b812d7c1ada1 | refs/heads/master | 2020-07-10T15:26:40.603300 | 2020-03-27T12:53:16 | 2020-03-27T12:53:16 | 204,298,238 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 443 | py | def full_layer(input_tensor, out_dim, name='full'):
with tf.variable_scope(name):
shape = input_tensor.get_shape().as_list()
W = tf.get_variable('W', (shape[1], out_dim), dtype=tf.float32, initializer=tf.truncated_normal_initializer(stddev=0.1))
b = tf.get_variable('b', [out_dim], dtype=tf.f... | [
"253848296@qq.com"
] | 253848296@qq.com |
fb16629aed91d4bf2bb7d5116bf9f60bb9a6a635 | fdbb74a95924e2677466614f6ab6e2bb13b2a95a | /third_party/python/Lib/test/test_email/__init__.py | f1646d55958d43d5b1924d98540b7c6c055041d5 | [
"Python-2.0",
"GPL-1.0-or-later",
"LicenseRef-scancode-python-cwi",
"LicenseRef-scancode-free-unknown",
"LicenseRef-scancode-other-copyleft",
"ISC"
] | permissive | jart/cosmopolitan | fb11b5658939023977060a7c6c71a74093d9cb44 | 0d748ad58e1063dd1f8560f18a0c75293b9415b7 | refs/heads/master | 2023-09-06T09:17:29.303607 | 2023-09-02T03:49:13 | 2023-09-02T03:50:18 | 272,457,606 | 11,887 | 435 | ISC | 2023-09-14T17:47:58 | 2020-06-15T14:16:13 | C | UTF-8 | Python | false | false | 6,295 | py | import os
import unittest
import collections
import email
from email.message import Message
from email._policybase import compat32
from test.support import load_package_tests
landmark = __file__
# Load all tests in package
def load_tests(*args):
return load_package_tests(os.path.dirname(__file__), *args)
# help... | [
"jtunney@gmail.com"
] | jtunney@gmail.com |
22132e7e3d0e34d4e63dd8a7b2c3fba0be01b588 | e3e3f2ce1bdc04c55ac167c06b69be57e3fcd72b | /UBloggerApp/sitemap.py | 33e8a32f3daf0238c5ca546c48a4b6f691edc4e3 | [
"MIT"
] | permissive | Kolynes/BlogEngine | d3766e2c6ab12f78f7cc53cf71ea7ef1f550046c | 93a77b47a954113dccf25de1469391d4fc681277 | refs/heads/master | 2022-12-13T23:01:41.419135 | 2021-02-04T22:08:20 | 2021-02-04T22:08:20 | 193,998,911 | 0 | 0 | MIT | 2022-12-07T09:39:41 | 2019-06-27T01:06:53 | JavaScript | UTF-8 | Python | false | false | 293 | py | from django.contrib.sitemaps import Sitemap
from . import models
class BlogEngineAppSitemap(Sitemap):
changefreq = "never"
priority = "0.5"
# def location(self, obj):
# return "b"
def items(self):
return models.Article.objects.filter(published=True)
| [
"kolyneschinedu@gmail.com"
] | kolyneschinedu@gmail.com |
7536b4ac963ad8a7283685890c8170deef67f9dc | 1c6283303ceb883add8de4ee07c5ffcfc2e93fab | /Jinja2/lib/python3.7/site-packages/ixnetwork_restpy/testplatform/sessions/ixnetwork/vport/protocols/targetpeer_d7cc221539f0f14696e2588a1ed5bda7.py | 9f27503694feb7edbccfa5b1a19ae05960bc8dd1 | [] | no_license | pdobrinskiy/devcore | 0f5b3dfc2f3bf1e44abd716f008a01c443e14f18 | 580c7df6f5db8c118990cf01bc2b986285b9718b | refs/heads/main | 2023-07-29T20:28:49.035475 | 2021-09-14T10:02:16 | 2021-09-14T10:02:16 | 405,919,390 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,318 | py | # MIT LICENSE
#
# Copyright 1997 - 2020 by IXIA Keysight
#
# 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, ... | [
"pdobrinskiy@yahoo.com"
] | pdobrinskiy@yahoo.com |
1aa5b5c1020ffa5cb4760367c085bde0ee739260 | 2cb44b6525952f03cbcd8f53609df1c6737ec6fa | /imgsrv/utils.py | 3fbbe8324727dea666a2085d780a6f185e60d7ab | [
"MIT"
] | permissive | joefutrelle/habcam-image-service | 420a6bbbba81b99192f5b9a84a89b97bbd016096 | 18341583508f24279acc93fbd872edf96c186e41 | refs/heads/master | 2020-04-15T11:38:42.312804 | 2015-08-25T15:23:13 | 2015-08-25T15:23:13 | 41,109,664 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 655 | py | import re
from werkzeug.routing import BaseConverter
def parse_params(path):
"""Parse a path fragment and convert to a list of tuples.
Slashes separate alternating keys and values.
For example /a/3/b/5 -> [ ['a', '3'], ['b', '5'] ]."""
parts = re.split('/',path)
keys = parts[:-1:2]
values= par... | [
"joefutrelle@gmail.com"
] | joefutrelle@gmail.com |
70fabb86cb0af025df29c398214b15b6c4af93c3 | 975b2d421d3661e6770b601929d5f11d981d8985 | /msgraph/generated/models/security/evidence_remediation_status.py | 0b0237f8284d0559d5bf293aa0f8a942d06ade5c | [
"MIT"
] | permissive | microsoftgraph/msgraph-sdk-python | a7c551b85daadeebf76ec4ae12668664ea639b42 | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | refs/heads/main | 2023-09-03T21:45:27.989672 | 2023-08-31T06:22:18 | 2023-08-31T06:22:18 | 534,665,999 | 135 | 18 | MIT | 2023-09-14T11:04:11 | 2022-09-09T14:00:17 | Python | UTF-8 | Python | false | false | 247 | py | from enum import Enum
class EvidenceRemediationStatus(str, Enum):
None_ = "none",
Remediated = "remediated",
Prevented = "prevented",
Blocked = "blocked",
NotFound = "notFound",
UnknownFutureValue = "unknownFutureValue",
| [
"GraphTooling@service.microsoft.com"
] | GraphTooling@service.microsoft.com |
5964fa44bf88e2c300c470a7fe092be1b2593260 | ce1543388c2065f6dfd3f776bdb6caf70a83a8a1 | /forms_plus/urls.py | 75167670352cb03119693923bf8dd04005c80764 | [] | no_license | JesusAnaya/mezzanine-forms-plus | 711f4b71d7d2819e1810d22724cfb81941b75a3c | 8378caa106ca2fd6eba465e326ffd45c88df5df8 | refs/heads/master | 2020-12-23T14:40:13.783659 | 2014-09-12T22:53:22 | 2014-09-12T22:53:22 | 64,798,849 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 314 | py | from django.conf.urls import patterns, url
urlpatterns = patterns("forms_plus.views",
url(r"^entries_list/$", "entries_list_view", name="entries_list"),
url(r"^(?P<form_id>\d+)/entries/$", "entries_view", name="form_entries"),
url(r"^file/(?P<field_entry_id>\d+)/$", "file_view", name="form_file"),
)
| [
"jesus.anaya.dev@gmail.com"
] | jesus.anaya.dev@gmail.com |
46841659ac0c5ed65d65011da0a0c61b5ad7e680 | 10fa94591c6cecddf37ddb6d39e7beea46c84d60 | /swagger_server/models/ws05_response_data_referenti.py | f7655d0487a4ed636bdce402435561237d9a82fe | [] | no_license | ioggstream/indicepa-proxy | 22b7a31943d4a44bcf8de73389c923efad7fc333 | 9e1f5770fa98fdf5e7580043ed82bae02d206e7c | refs/heads/master | 2020-03-09T06:49:14.419628 | 2018-04-08T10:08:58 | 2018-05-13T19:23:03 | 128,649,322 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,679 | py | # coding: utf-8
from __future__ import absolute_import
from datetime import date, datetime # noqa: F401
from typing import List, Dict # noqa: F401
from swagger_server.models.base_model_ import Model
from swagger_server import util
class WS05ResponseDataReferenti(Model):
"""NOTE: This class is auto generated ... | [
"robipolli@gmail.com"
] | robipolli@gmail.com |
bbd54ada0b5dee8aeef370d4284e844c97a212de | 539bbf40f66dd67fd2a470d9ca7c48bf186c8636 | /Lab11/Assignment08/PyStanNormNormTest.py | 47012e70f8011bf7d576a12536118fc7443fb00c | [] | no_license | dbcarrasco/LabResources | 2254e75c092ff8dc9b8641653accb6c6b01c7ff8 | 818cc3302654e177347dd82b408d67eb82e53b14 | refs/heads/master | 2020-03-13T14:28:35.902840 | 2018-04-20T23:15:15 | 2018-04-20T23:15:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,448 | py | """
Test an installation of PyStan using a simple normal mean estimation problem.
The script does a Stan fit to simulated data from a normal distribution,
estimating the mean with a normal prior/normal sampling dist'n model. It prints
summaries of the posterior to the terminal, and plots two figures showing
traceplot... | [
"loredo@astro.cornell.edu"
] | loredo@astro.cornell.edu |
4389dea8e6f479412daa8eaf5150dede8b0bb571 | 5eb703a0406224dae56557e32d86ef8dad173041 | /stib/geojson_dump.py | 5705443db364cd761f5270494d1327f2f244be79 | [] | no_license | C4ptainCrunch/open-transport-be | b798f6a246925cbe045c1c2388e4ccf1bff8b8b1 | 78946dc066368ea2ab1051a09dc40402c54b2e02 | refs/heads/master | 2021-01-23T10:00:30.926636 | 2014-11-01T18:07:28 | 2014-11-01T18:07:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,014 | py | import geojson
def stops_to_geojson(stops):
features = []
for stop in stops:
g = geojson.Point(stop["point"].coords[0])
f = geojson.Feature(geometry=g, properties={"name": stop["name_fr"]})
features.append(f)
return geojson.FeatureCollection(features)
def lines_to_geojson(lines):
... | [
"nikita.marchant@gmail.com"
] | nikita.marchant@gmail.com |
9eca912d25cd7ecea58f52e43659f0d89e17bdca | f94c1d222d37da3bdbdd9012a6e3e8aa3d423166 | /creator/unit.py | 73ec33428218b9b2191e3d70723759709b1b3537 | [
"MIT"
] | permissive | gitter-badger/creator | 67a06d62c0e43e8d956de93e8ab13ecfcc08754f | 1e86bb2ed200c4f32fa516fd1e7c80f78a8aa238 | refs/heads/master | 2020-04-11T05:57:45.559427 | 2015-08-03T13:38:19 | 2015-08-03T13:38:19 | 40,133,619 | 1 | 1 | null | 2015-08-03T15:51:46 | 2015-08-03T15:51:45 | Python | UTF-8 | Python | false | false | 29,941 | py | # Copyright (C) 2015 Niklas Rosenstein
#
# 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, modify, merge, publish, d... | [
"rosensteinniklas@gmail.com"
] | rosensteinniklas@gmail.com |
4a7ae23ad9d9cc63c3e244d7126f0f964f64c978 | 9c9707e4ad2a184c15c3c9ae5240b7e41c94b3aa | /app/views/async/cve.py | 86ab6024b258fd14266d312bdc207475cfeec6c6 | [] | no_license | Depado/LostInNetwork | 02d5fc528435d2d1dc19ddf957805459b523a2fa | 429c0c730466d660617f3b92a283e091224afac3 | refs/heads/master | 2021-06-17T11:11:04.894148 | 2021-03-24T09:17:19 | 2021-03-24T09:17:19 | 27,167,709 | 6 | 3 | null | 2021-03-24T09:17:20 | 2014-11-26T08:50:43 | Python | UTF-8 | Python | false | false | 1,593 | py | # -*- coding: utf-8 -*-
import redis
from flask import jsonify
from flask_login import login_required
from app import app
from app.tasks.cve import cve_async, CVE_LOCK, CVE_KEY
from .lock import lock_available
@app.route('/start/cve_update', methods=['POST'])
@login_required
def async_cve_update():
"""
Sta... | [
"paul.lhussiez@gmail.com"
] | paul.lhussiez@gmail.com |
829d6e8547912f91360086a51890cffa597ff14a | 6e99df860ef3ab96cafa0b73873d6ce92bb5370d | /caas-test/app.py | 42b820fa856463299939fb45f097007f768c9e4a | [] | no_license | tonicbupt/caas-test | 804e604678aaf04cb55a69e47512fc2d155d930f | 46cbeb014d69d8b9fcb2e99f7f2522509ccaa869 | refs/heads/master | 2018-12-28T16:21:28.623028 | 2015-09-11T08:26:29 | 2015-09-11T08:26:51 | 42,294,193 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 328 | py | # coding: utf-8
from flask import Flask
app = Flask(__name__)
@app.route('/')
def index():
return 'index'
@app.route('/<message>/')
def echo(message):
return 'echo %s' % message
@app.route('/exception/')
def exception():
raise
if __name__ == '__main__':
app.run(host='0.0.0.0', port=5000, debu... | [
"tonicbupt@gmail.com"
] | tonicbupt@gmail.com |
8530257718c62fa6385906586fb1c0f44e0424f5 | 669a292ef23e777a9a7e22d53e5ad309261b5a92 | /gestao/urls.py | 0e8b021f7d4bdf6259e8a9a93152a0eeddc847a9 | [] | no_license | Elicarlos/sistema_gestao | d2443f2f74a925ceadbeddcacdb479cf9e9f9e02 | 3f3daf9bc04fe56ef0ad2745c8164dcf42ff1965 | refs/heads/master | 2022-05-03T04:19:32.802534 | 2019-11-02T06:45:09 | 2019-11-02T06:45:09 | 216,487,710 | 0 | 0 | null | 2022-04-22T22:33:09 | 2019-10-21T05:51:43 | Python | UTF-8 | Python | false | false | 922 | py | """gestao URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based ... | [
"elicarlosantos_@hotmail.com"
] | elicarlosantos_@hotmail.com |
10aff3bb1a50750dc2c4e4b71690cde502e92ee6 | 392b6c727d91eb219b828a239f05d181c2be0724 | /tests/transactional_transport/test_reliability_transport.py | d0d8a9b8a372a49490e8d98b0d3329af80107675 | [
"MIT"
] | permissive | rizplate/lightbus | ace3e365b1efd0107fb80fa616dccb2d99b24732 | 1e5977146ff29a4fe46533767bd7f3ed24456fe4 | refs/heads/master | 2020-03-27T02:28:17.817686 | 2018-08-21T11:32:47 | 2018-08-21T11:32:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,463 | py | import asyncio
import logging
import pytest
from lightbus.transports.transactional import lightbus_set_database
pytestmark = pytest.mark.reliability
@pytest.mark.asyncio
async def test_multiple_connections(
transactional_bus, # Ensure migrations get run
transactional_bus_factory,
pg_kwargs,
test_... | [
"adam@adamcharnock.com"
] | adam@adamcharnock.com |
a83f5e2e92491549301a1d640b46d667821eb959 | 9743d5fd24822f79c156ad112229e25adb9ed6f6 | /xai/brain/wordbase/otherforms/_slivering.py | 10f98ea87ed899be8d0cb2c48701c6c71ab9d4dc | [
"MIT"
] | permissive | cash2one/xai | de7adad1758f50dd6786bf0111e71a903f039b64 | e76f12c9f4dcf3ac1c7c08b0cc8844c0b0a104b6 | refs/heads/master | 2021-01-19T12:33:54.964379 | 2017-01-28T02:00:50 | 2017-01-28T02:00:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 226 | py |
#calss header
class _SLIVERING():
def __init__(self,):
self.name = "SLIVERING"
self.definitions = sliver
self.parents = []
self.childen = []
self.properties = []
self.jsondata = {}
self.basic = ['sliver']
| [
"xingwang1991@gmail.com"
] | xingwang1991@gmail.com |
ceadcf7c00e2c85f48f2b887832679d7ae669570 | f07900334326d809a80f3619197769ea63b84c17 | /Python-Advanced/01-Lists-as-Stacks-and-Queues-Lab/02-Matching-Brackets.py | 8fb9acf4d811f28a6a19ee3f004b09e7a814a29c | [] | no_license | SJeliazkova/SoftUni | 394a0da0041bcf2d2be6c5ac18264d52df0f8ad1 | 5f2c7a9641495e75297d642346dd881de6bfc424 | refs/heads/main | 2023-02-27T19:11:35.637028 | 2021-02-06T18:55:58 | 2021-02-06T18:55:58 | 332,763,499 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 206 | py | data = input()
s = []
for i in range(len(data)):
current_char = data[i]
if current_char == '(':
s.append(i)
elif current_char == ')':
j = s.pop()
print(data[j:i + 1])
| [
"77019056+SJeliazkova@users.noreply.github.com"
] | 77019056+SJeliazkova@users.noreply.github.com |
536bcd74b731049570a0d52b83cab812979002c4 | f0d713996eb095bcdc701f3fab0a8110b8541cbb | /LyzKTyYdKF4oDf5bG_10.py | b0b42d28ccf7d2fa4b8940f6900526c830bb7542 | [] | no_license | daniel-reich/turbo-robot | feda6c0523bb83ab8954b6d06302bfec5b16ebdf | a7a25c63097674c0a81675eed7e6b763785f1c41 | refs/heads/main | 2023-03-26T01:55:14.210264 | 2021-03-23T16:08:01 | 2021-03-23T16:08:01 | 350,773,815 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,172 | py | """
Write a **recursive** function that will return the longest word in a
sentence. In cases where more than one word is found, return the first one.
### Examples
find_longest("I will and ever will be gratefully and perpetually loving you Tesh!") ➞ "perpetually"
find_longest("A thing of beauty is a jo... | [
"daniel.reich@danielreichs-MacBook-Pro.local"
] | daniel.reich@danielreichs-MacBook-Pro.local |
928112b4e3c624083bb17e1c25fdaf031f635e3a | f0b5917fe0cb6c263e892d2dda6a541094123a16 | /grammar-generator/Content/TemplateResolver.py | 097840107dfbd3a4b39af57c5f1057f7c9cc46ce | [
"MIT"
] | permissive | afronski/grammar-generator | 61a7de686ecc65dfa73f29a000bfed8b699de9ae | 231bf88e28dd02b2cd2a79e0d42cb0613a90501a | refs/heads/master | 2016-09-05T10:16:33.228488 | 2014-04-27T20:09:29 | 2014-04-27T20:09:29 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 313 | py | import string
class TemplateResolver:
def __init__(self, templateRepository, templateName):
self.templateName = templateName
self.templateRepository = templateRepository
def fill(self, dictionaryData):
return string.Template(self.templateRepository[self.templateName]).safe_substitute(dictionaryData) | [
"afronski@gmail.com"
] | afronski@gmail.com |
89f65215bd5151e085b95ac31845fd2ca098737e | f58936d3d01b014131b9038616d6f3573dd94f44 | /preprocessing_tools/corenlp/commons.py | f9d87829b2c51b1510daecbe4651cb00ece2b9c5 | [] | no_license | niteshsurtani/Personal_Assistant | 69f591d03200ad9f8e66533f6968c7fb2a1d8667 | 363a65b3e3438b5824d8abb6caee53a70eefa024 | refs/heads/master | 2022-11-20T00:13:09.289399 | 2017-10-13T17:32:00 | 2017-10-13T17:32:00 | 106,283,072 | 0 | 1 | null | 2020-07-23T18:18:29 | 2017-10-09T12:50:48 | Python | UTF-8 | Python | false | false | 437 | py | import re
def coreNLPDataParser(corenlp_time):
tokens = []
parse = []
lines = corenlp_time.split("\n")
for line in lines:
if "<parse>" in line:
parse.append(line.strip())
else:
tokens.append(line.rstrip())
return tokens, parse
def removeSpecialCharacters(query):
return ''.join(e for e i... | [
"nitesh.surtani0606@gmail.com"
] | nitesh.surtani0606@gmail.com |
f29e0575f55c03dffb2507a1646dc1403bff109f | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p03075/s795149061.py | d75a35b47b32a67ad693f078b64736073f4bb885 | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 246 | py | import sys
a = int(sys.stdin.readline())
b = int(sys.stdin.readline())
c = int(sys.stdin.readline())
d = int(sys.stdin.readline())
e = int(sys.stdin.readline())
k = int(sys.stdin.readline())
if e - a > k:
print(":(")
else:
print("Yay!") | [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
e4e6c81ac4d0e17d7d4581320566cdec53e100c9 | 56f64af82fdf0d7da8a036af269528a0be7f3084 | /beachball-service/launch_server.py | e2d8941eabfe2e4cd0bfb484505e9f5f5fe9c3bf | [] | no_license | krischer/docker_beachball_service | b8544292cb49ac59954fe1117e828018c16af4c6 | c84f910360e16ea6a786b6c9b5081e396840b6e3 | refs/heads/master | 2021-01-12T10:51:10.691344 | 2016-11-03T10:25:31 | 2016-11-03T10:25:31 | 72,733,890 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,944 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import argparse
import io
import flask
from flask_cache import Cache
import matplotlib.pyplot as plt
from matplotlib.colors import hex2color
from obspy.imaging.beachball import beach
plt.switch_backend("agg")
app = flask.Flask(__name__)
cache = Cache(app, config={'CACHE... | [
"krischer@geophysik.uni-muenchen.de"
] | krischer@geophysik.uni-muenchen.de |
d48cae880a25d6cac4dc67f75d908634ba025c1d | d8c105a11cc3cc58a8b5fecb9d819814730aa990 | /tests/test_data_type_filtering.py | 4d68168ada40f108da86006834e85683a0a12f1a | [
"BSD-3-Clause"
] | permissive | greenelab/mpmp | d0cd805884dd7a08239985839f328ef37dccc64b | d2b2860b4c84dd12916759549ee49c542956b790 | refs/heads/master | 2023-08-06T22:43:58.508727 | 2022-07-07T18:48:09 | 2022-07-07T18:48:09 | 317,636,076 | 3 | 4 | BSD-3-Clause | 2022-07-07T18:48:10 | 2020-12-01T18:45:36 | Jupyter Notebook | UTF-8 | Python | false | false | 2,963 | py | """
Test cases for data type filtering in tcga_utilities.py
"""
import pytest
import numpy as np
import pandas as pd
import mpmp.config as cfg
import mpmp.utilities.tcga_utilities as tu
@pytest.fixture(scope='module')
def expression_data():
"""Load gene expression and sample info data from files"""
expression... | [
"jjc2718@gmail.com"
] | jjc2718@gmail.com |
36b121f33e18142bda11eeb528a58262d702fa09 | b26c41926fa3a7c2c061132d80e91a2750f2f468 | /spinoffs/inference_gym/inference_gym/tools/stan/logistic_regression.py | 92e637b649624848e47501d02d9472e6cc8c2b97 | [
"Apache-2.0"
] | permissive | tensorflow/probability | 22e679a4a883e408f8ef237cda56e3e3dfa42b17 | 42a64ba0d9e0973b1707fcd9b8bd8d14b2d4e3e5 | refs/heads/main | 2023-09-04T02:06:08.174935 | 2023-08-31T20:30:00 | 2023-08-31T20:31:33 | 108,053,674 | 4,055 | 1,269 | Apache-2.0 | 2023-09-13T21:49:49 | 2017-10-23T23:50:54 | Jupyter Notebook | UTF-8 | Python | false | false | 4,071 | py | # Copyright 2020 The TensorFlow Probability 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 o... | [
"gardener@tensorflow.org"
] | gardener@tensorflow.org |
0ebb2e18b6b968ed0efbe7c3d973d2e06d8dce1b | 48e70c0496453a5bb07d966ba15b5a7e8d0acf13 | /High Performance/Threading/helloPythonWithThread.py | 448223925daea0e111e87be344876902c92fb8eb | [] | no_license | RichardcLee/Py_Notes | 52e27996bf6bb18f55334aa0ea6151baa0022d2b | 4bd5ad589301c5697a216e86a1321d32bb0bddca | refs/heads/master | 2021-01-05T06:20:59.336876 | 2020-04-14T10:58:10 | 2020-04-14T10:58:10 | 240,911,389 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 636 | py | from threading import Thread
from time import sleep
from os import getpid
class CookBook(Thread):
def __init__(self):
Thread.__init__(self)
self.message = 'Hello python cookbook!\n'
def print_message(self):
print(self.message)
def run(self):
print('Thread %s starting!\n' ... | [
"0yunhow@gmail.com"
] | 0yunhow@gmail.com |
4f878a8f78d08fc41757739ec42b909edcc55e5d | a94770c70704c22590c72d7a90f38e3a7d2e3e5c | /Algo/LeadToOffer/48_AddTwoNumber.py | d0e9e22755e868937e709325f8e18969aa105482 | [] | no_license | lawy623/Algorithm_Interview_Prep | 00d8a1c0ac1f47e149e95f8655d52be1efa67743 | ca8b2662330776d14962532ed8994dfeedadef70 | refs/heads/master | 2023-03-22T16:19:12.382081 | 2023-03-21T02:42:05 | 2023-03-21T02:42:05 | 180,056,076 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 351 | py | class Solution(object):
def add(self, a, b):
"""
:type a: int
:type b: int
:rtype: int
"""
while b > 0:
sum_no_carry = a ^ b # actually not correct for python, use c++ instead
carry = (a&b) << 1
a = sum_no_carry
... | [
"leoyluo@tencent.com"
] | leoyluo@tencent.com |
f5b245ac4186227abed996bebf9ddfebe69efa92 | d6f9ca1eff35358dde1a0ef0c553123d322d9c69 | /amrlib/alignments/rbw_aligner/match_candidates.py | 6264c91ffd444f2ab9c90e2eec7c36c98525953f | [
"MIT"
] | permissive | bzhao2718/amrlib | 9b91997a98f19b0d800be13013926749bdce4cb7 | cd37abc637c431e3c781f554e34fba3066f987ce | refs/heads/master | 2023-03-08T13:43:28.480230 | 2021-02-17T16:54:45 | 2021-02-17T16:54:45 | 339,616,014 | 0 | 0 | MIT | 2021-02-17T04:59:44 | 2021-02-17T04:59:44 | null | UTF-8 | Python | false | false | 3,281 | py | from word2number import w2n
# Convert months to numeric values
# AMR graphs always use the integer value of the month, not the word
month2num = {'january':'1', 'february':'2', 'march':'3', 'april':'4', 'may':'5', 'june':'6',
'july':'7', 'august':'8', 'september':'9', 'october':'10', 'november':'11',
... | [
"bjascob@msn.com"
] | bjascob@msn.com |
310facfcc32cb96b8652ebbfdd50e9576cf275e7 | 846a7668ac964632bdb6db639ab381be11c13b77 | /android/tools/test/connectivity/acts/tests/google/tel/lab/TelLabDataRoamingTest.py | 59d0964ef54d4880584e7f4829bf6f6a32556719 | [] | no_license | BPI-SINOVOIP/BPI-A64-Android8 | f2900965e96fd6f2a28ced68af668a858b15ebe1 | 744c72c133b9bf5d2e9efe0ab33e01e6e51d5743 | refs/heads/master | 2023-05-21T08:02:23.364495 | 2020-07-15T11:27:51 | 2020-07-15T11:27:51 | 143,945,191 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,044 | py | #/usr/bin/env python3.4
#
# Copyright 2017 - The Android Open Source Project
#
# 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
#
# ... | [
"mingxin.android@gmail.com"
] | mingxin.android@gmail.com |
b89c425e46b4867577dd962ccbbe27e0b33b2808 | da9c4a9a92d49d2fb2983a54e0f64c2a1ce8aa19 | /lte/gateway/python/magma/pipelined/tests/test_check_quota.py | 8f6292c34bc1d1829abd7037e19eb2f5f7f4bdb6 | [
"BSD-3-Clause",
"Apache-2.0"
] | permissive | rohan-prasad/magma | 347c370347724488215a0783504788eac41d8ec7 | 2c1f36d2fd04eae90366cc8b314eaab656d7f8ad | refs/heads/master | 2022-10-14T14:08:14.067593 | 2020-06-11T23:52:03 | 2020-06-11T23:54:27 | 271,671,835 | 0 | 0 | NOASSERTION | 2020-06-12T00:20:23 | 2020-06-12T00:17:39 | null | UTF-8 | Python | false | false | 6,232 | py | """
Copyright (c) 2019-present, Facebook, Inc.
All rights reserved.
This source code is licensed under the BSD-style license found in the
LICENSE file in the root directory of this source tree. An additional grant
of patent rights can be found in the PATENTS file in the same directory.
"""
import unittest
import warn... | [
"facebook-github-bot@users.noreply.github.com"
] | facebook-github-bot@users.noreply.github.com |
611bacec8ed2cb745eb63de1e81b1c0ce0403e55 | f65be574caf751a50cca2dc61a035dad9829d27c | /algorithm/nothing/Analysis.py | 9db543d4a3f14c3b6e98255349c89aca7fa4f4de | [] | no_license | Chen-Gu/slp | 295810b597810f386c0d96038a5bae0d178c5ae0 | db242fdc01f42a916a9c1c295548a03c94e56948 | refs/heads/master | 2021-08-28T11:37:52.906728 | 2021-08-11T15:00:25 | 2021-08-11T15:00:25 | 237,653,729 | 0 | 0 | null | 2020-02-01T17:49:44 | 2020-02-01T17:49:44 | null | UTF-8 | Python | false | false | 735 | py |
from data.analysis import AnalyzerCommon
algorithm_module = __import__(__package__, globals(), locals(), ['object'])
class Analyzer(AnalyzerCommon):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
def results_header(self):
d = self.common_results_header(algorithm_modul... | [
"MBradbury@users.noreply.github.com"
] | MBradbury@users.noreply.github.com |
aa4dcde49632899503a4588d84ad5e789de9e04f | ba694353a3cb1cfd02a6773b40f693386d0dba39 | /sdk/python/pulumi_google_native/binaryauthorization/v1/policy_iam_binding.py | 137769bc7c941dd9519f93d2aedd185fc819529f | [
"BSD-3-Clause",
"Apache-2.0"
] | permissive | pulumi/pulumi-google-native | cc57af8bd3d1d6b76f1f48333ed1f1b31d56f92b | 124d255e5b7f5440d1ef63c9a71e4cc1d661cd10 | refs/heads/master | 2023-08-25T00:18:00.300230 | 2023-07-20T04:25:48 | 2023-07-20T04:25:48 | 323,680,373 | 69 | 16 | Apache-2.0 | 2023-09-13T00:28:04 | 2020-12-22T16:39:01 | Python | UTF-8 | Python | false | false | 11,993 | py | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import copy
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _u... | [
"noreply@github.com"
] | pulumi.noreply@github.com |
2af2cc669a929f8b614e920cb038b43c7dbe0b1e | 797408b76a86a0db38479c6c0670114e3cd3532f | /tests/test_array.py | 248447185ad35e4d4df77528086c76651871d86c | [
"BSD-3-Clause"
] | permissive | guyver2/picamera | 2f9d364ce84a17fac6ea9adfe06c709c2b5bfca6 | 2a1ce13f88b226d75a604b6cb57fe6c8fcba4f59 | refs/heads/master | 2021-01-20T17:37:08.062725 | 2015-07-22T14:03:39 | 2015-07-22T14:03:39 | 39,509,187 | 1 | 0 | null | 2015-07-22T13:57:32 | 2015-07-22T13:57:32 | null | UTF-8 | Python | false | false | 10,683 | py | # vim: set et sw=4 sts=4 fileencoding=utf-8:
#
# Python camera library for the Rasperry-Pi camera module
# Copyright (c) 2013-2015 Dave Jones <dave@waveform.org.uk>
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# ... | [
"dave@waveform.org.uk"
] | dave@waveform.org.uk |
ce2c73495bec071ee0a60e5ddb1ecf86e92a0ce0 | ce01aec82099388a15ea57b113b91127902fc349 | /code/RPi/lockCheck.py | abb81aedecfbfe4b9a89afe1b58d8067981d94cb | [] | no_license | SeanDHammond99/SafeHome | 8691746e56ee9023dcb2d9106cf97a7451dc6563 | 6b5898c1a0a30985601c007f3d5dcc68144bd0ca | refs/heads/master | 2023-06-21T18:23:58.128664 | 2021-07-05T20:31:32 | 2021-07-05T20:31:32 | 383,247,297 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,383 | py | import requests
import time
import json
import RPi.GPIO as GPIO
GPIO.setmode(GPIO.BOARD)
GPIO.setup(7,GPIO.OUT)
p = GPIO.PWM(7,50)
p.start(7.5)
p.ChangeDutyCycle(0)
sleepTime = 5
with open("lockname.txt") as f:
lockKey = f.read()
with open("lockstatus.txt") as f:
lockStatus = f.read()
print(lockKey)... | [
"unconfigured@null.spigotmc.org"
] | unconfigured@null.spigotmc.org |
4e6162e5738bcb6910e2f2843f8749e4d29e92d4 | 9743d5fd24822f79c156ad112229e25adb9ed6f6 | /xai/brain/wordbase/verbs/_rewrite.py | 1d8389d9ce07e118e26d4cb426edb10b51ba8fdb | [
"MIT"
] | permissive | cash2one/xai | de7adad1758f50dd6786bf0111e71a903f039b64 | e76f12c9f4dcf3ac1c7c08b0cc8844c0b0a104b6 | refs/heads/master | 2021-01-19T12:33:54.964379 | 2017-01-28T02:00:50 | 2017-01-28T02:00:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 405 | py |
#calss header
class _REWRITE():
def __init__(self,):
self.name = "REWRITE"
self.definitions = [u'to write something such as a book or speech again, in order to improve it or change it because new information is available ']
self.parents = []
self.childen = []
self.properties = []
self.jsondata = {}
... | [
"xingwang1991@gmail.com"
] | xingwang1991@gmail.com |
15bf372f3fe35e2bb8e104af704e3afdf86b8a7e | f07a42f652f46106dee4749277d41c302e2b7406 | /Data Set/bug-fixing-5/66c3e9bb9bb33e54d23ebbaa7e3d7db49003438c-<check_base_rule_args>-bug.py | 7955c02f381791a8b48292d2d74a95c316f583e4 | [] | no_license | wsgan001/PyFPattern | e0fe06341cc5d51b3ad0fe29b84098d140ed54d1 | cc347e32745f99c0cd95e79a18ddacc4574d7faa | refs/heads/main | 2023-08-25T23:48:26.112133 | 2021-10-23T14:11:22 | 2021-10-23T14:11:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,028 | py | def check_base_rule_args(self):
' Check base rule invalid args '
need_cfg = False
find_flag = False
self.cur_base_rule_cfg['base_rule_info'] = []
if self.acl_name:
if (self.state == 'absent'):
if (not self.rule_name):
self.module.fail_json(msg='Error: Please input... | [
"dg1732004@smail.nju.edu.cn"
] | dg1732004@smail.nju.edu.cn |
f3cd2057bbe36c1aa2246e13432a02f9c97d49c5 | a5747577f1f4b38823f138ec0fbb34a0380cd673 | /18/mc/ExoDiBosonResonances/EDBRTreeMaker/test/crab3_analysiscase2_off_3000.py | f4fd133f1496c8735935be2319680d7fae94f298 | [] | no_license | xdlyu/fullRunII_ntuple | 346fc1da4cec9da4c404aa1ec0bfdaece6df1526 | aa00ca4ce15ae050c3096d7af779de44fc59141e | refs/heads/master | 2020-08-03T07:52:29.544528 | 2020-01-22T14:18:12 | 2020-01-22T14:18:12 | 211,673,739 | 0 | 3 | null | null | null | null | UTF-8 | Python | false | false | 2,173 | py | from WMCore.Configuration import Configuration
name = 'WWW'
steam_dir = 'xulyu'
config = Configuration()
config.section_("General")
config.General.requestName = 'case2_3000_off'
config.General.transferLogs = True
config.section_("JobType")
config.JobType.pluginName = 'Analysis'
config.JobType.inputFiles = ['Autumn... | [
"XXX@cern.ch"
] | XXX@cern.ch |
052b1f013ce3252b3ae22ec5299dd19d0d3ff8d9 | 5c94794612147e29a9c6348a7cc046743efda7d1 | /test/test_veteran_status_enum.py | ac5a2f40d965199d4aebb0f486020a10522e86b6 | [] | no_license | dan-merge/merge-ats-python | 9f328bd3aad0bf27554255a296fe9c15febccd9a | bcd628e462faac50ce43e6909413571b05898fa4 | refs/heads/main | 2023-04-11T06:03:34.868878 | 2021-04-21T23:55:29 | 2021-04-21T23:55:29 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 826 | py | """
Merge ATS API
The unified API for building rich integrations with multiple Applicant Tracking System platforms. # noqa: E501
The version of the OpenAPI document: 1.0
Contact: hello@merge.dev
Generated by: https://openapi-generator.tech
"""
import sys
import unittest
import MergeATSClient
f... | [
"dan@merge.dev"
] | dan@merge.dev |
4103625edaa1868cef84a052c4a1d703393c69c7 | 07ff45cd54deae354a727c6bf3e009353d5d1eca | /permutation/sol.py | a7bd3ad46858b3d6d1820ea450d424d478235d5b | [] | no_license | onlybeijing6/CodeSprint2012 | 0589cac4eb027b1a58355708f8b08b0a75241e25 | 661df79cd098237ad1b0cab432b3dee65c82d90b | refs/heads/master | 2021-01-15T21:07:09.610696 | 2012-01-09T19:10:45 | 2012-01-09T19:10:45 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,214 | py |
def get_input(input_):
n, v = None, []
for i, line in enumerate(input_):
if i > 0:
row = tuple(int(i) for i in line.strip().split())
assert len(row) == n
v.append(row)
else:
n = int(line)
assert n <= 50
assert len(v) == n
return n, tuple(v)
def chunk(li, n):
for i, e i... | [
"cbautista2010@gmail.com"
] | cbautista2010@gmail.com |
e72896e09c1513e0b29dcd176dcef1bff6a3f9e7 | 2e682fd72e3feaa70e3f7bf2a3b83c50d783ec02 | /ACL_PyTorch/contrib/cv/super_resolution/SRCNN/test/parse.py | b9c74f41d7848e1250356f14472b237a18bb3489 | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"BSD-3-Clause",
"LicenseRef-scancode-generic-cla",
"LicenseRef-scancode-unknown-license-reference",
"GPL-1.0-or-later"
] | permissive | Ascend/ModelZoo-PyTorch | 4c89414b9e2582cef9926d4670108a090c839d2d | 92acc188d3a0f634de58463b6676e70df83ef808 | refs/heads/master | 2023-07-19T12:40:00.512853 | 2023-07-17T02:48:18 | 2023-07-17T02:48:18 | 483,502,469 | 23 | 6 | Apache-2.0 | 2022-10-15T09:29:12 | 2022-04-20T04:11:18 | Python | UTF-8 | Python | false | false | 1,417 | py | # Copyright 2021 Huawei Technologies Co., Ltd
#
# 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 ... | [
"wangjiangben@huawei.com"
] | wangjiangben@huawei.com |
b2f78d07cb0d7845c3121b8ecfc52b95498d5a88 | 7805c8332545109bf5f1cefed71d50488b627d89 | /core/engine/distributed_engine.py | 21410df2ac8bddc5414dada0bf3d44d9cf6651d9 | [
"Apache-2.0"
] | permissive | dddlli/DynamicActivation | 5ff1f9ec20759a00d03eb1abcf36b5af166e756b | 7dce57cdf018a8b2acdb1d7291dfbc33be6dde78 | refs/heads/master | 2023-04-11T09:35:37.553043 | 2021-05-09T10:16:00 | 2021-05-09T10:16:00 | 361,779,401 | 1 | 0 | Apache-2.0 | 2021-04-26T14:25:20 | 2021-04-26T14:25:19 | null | UTF-8 | Python | false | false | 4,861 | py | import os
import torch
import torch.backends.cudnn as cudnn
import torch.distributed as dist
import torch.nn as nn
import torch.nn.parallel
import torch.optim
import torch.utils.data
import torch.utils.data.distributed
# from core.datasets.classify_dataset import classify_dataset_sample
from core.engine.base import va... | [
"2684109034@qq.com"
] | 2684109034@qq.com |
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