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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
5e494f738e2347aa42a5db0272e5ee6fb9c74abf | 310fbab72b4b4f1c308a7ddefd34cb04e54b1fa0 | /care/migrations/0003_patient_status.py | 12be556c703104420aa886fc4548c291b78f1309 | [
"MIT"
] | permissive | GituMbugua/patient-care | 767748c764b2fd9269f2328a17be18edbfa09007 | 79935ff27ebef5c160ac77e0c958c31c6dccb3f6 | refs/heads/master | 2021-08-30T00:04:17.584295 | 2017-12-15T10:59:11 | 2017-12-15T10:59:11 | 113,864,824 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 567 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.7 on 2017-12-13 17:03
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('care', '0002_auto_20171213_1204'),
]
operations = [
migrations.AddField(
... | [
"gmbugua38@gmail.com"
] | gmbugua38@gmail.com |
912198bc71c0aca72cd66b68a560dd698503898a | 72200c201fcc6d2ebed915e902ecca35469b904f | /server/ca/models.py | 4584a48b6628705110851e08974e633e5e46d84a | [
"MIT"
] | permissive | knaou/mysign | a86f68c78b2b84f163af5afb1f40ca1cdb95187a | 83a2748f2e3a69bc8741bc6a4ee2bb508a8aadba | refs/heads/master | 2021-11-03T05:31:43.581688 | 2020-05-28T16:05:47 | 2020-05-28T16:05:47 | 176,100,477 | 0 | 0 | MIT | 2021-09-01T01:57:14 | 2019-03-17T12:50:59 | Python | UTF-8 | Python | false | false | 1,140 | py | from django.db import models
class CertificateAuthority(models.Model):
name = models.CharField(max_length=255, null=False)
description = models.TextField(null=False, blank=True, default='')
next_serial = models.IntegerField(null=False)
key_pem = models.TextField(null=False)
csr_pem = models.TextFi... | [
"monaou@gmail.com"
] | monaou@gmail.com |
9203c91286bc5ec6669b399df3679ab852e02685 | 35f102cb79a609770ee4d2bccd4c9b79d4379295 | /setup.py | 90c54bd55e7322d5ef4c3507cd8326528359c88d | [
"MIT"
] | permissive | ahitrin/SiebenApp | b404aab2fb248db4a8bec727b25c73aa574e23e8 | 07782976bddecb1e3ba1ca2ab03ccbad024beda1 | refs/heads/master | 2023-08-16T16:25:32.409525 | 2023-08-14T06:53:07 | 2023-08-14T07:26:14 | 74,811,457 | 18 | 1 | MIT | 2023-09-11T06:08:01 | 2016-11-26T07:28:17 | Python | UTF-8 | Python | false | false | 373 | py | #!/usr/bin/env python3
from distutils.core import setup
setup(
name='SiebenApp',
version='0.12',
description='An experimental dependency-aware goal manager',
author='Andrey Hitrin',
author_email='andrey.hitrin@gmail.com',
url='https://github.com/ahitrin/SiebenApp',
packages=['siebenapp'],
... | [
"andrey.hitrin@gmail.com"
] | andrey.hitrin@gmail.com |
546a1923ba578b58a263e4e4a8c6151cc1b740ea | 84b04d0787cf4cca686f54dcb4ca8eb0a480bdd5 | /src/plonetheme/kasteeldehaar/tests/test_robot.py | 637d955684aa80abb6b0c6a48ffd0cdc2dd7c458 | [] | no_license | plone-ve/plonetheme.kasteeldehaar | 357c1399d2d14d1b07cbd507521af4bfd4182897 | 136e0304b935f3ffb085824ed85d7a71a71924d4 | refs/heads/master | 2023-08-25T15:10:11.249942 | 2016-11-04T16:58:00 | 2016-11-04T16:58:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 901 | py | # -*- coding: utf-8 -*-
from plonetheme.kasteeldehaar.testing import plonetheme.kasteeldehaar_ACCEPTANCE_TESTING # noqa
from plone.app.testing import ROBOT_TEST_LEVEL
from plone.testing import layered
import os
import robotsuite
import unittest
def test_suite():
suite = unittest.TestSuite()
current_dir = os... | [
"andreslb1@gmail.com"
] | andreslb1@gmail.com |
d5d7b8d6c78ac89d67efcee7fda2c0c241f8e41c | 9b0b746bffa1bc4b54ee46397d4ca837c0a62733 | /SocialMedia Project/backends/apps/userprofile/migrations/0002_userprofile_bio.py | 8605f48c0553749091fcf2da8045831155f47930 | [] | no_license | indalyadav56/Django-React-Projects | 548b1132f713b8466e6254a70c4c69ac8f6ad328 | a01b7a770f77ddf804caf0ee78b50a6a38ace0ee | refs/heads/main | 2023-06-23T06:26:28.399644 | 2021-07-09T23:23:15 | 2021-07-09T23:23:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 385 | py | # Generated by Django 3.1 on 2021-05-23 11:49
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('userprofile', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='userprofile',
name='bio',
... | [
"yadavindal269@gmail.com"
] | yadavindal269@gmail.com |
f4b6d2cb02e5d3c46fa681499e99a27767d36b5e | 7e24d101e793afa60cb4252f3b9bf8726c104a9c | /petaldata/datasets/stripe/reports/abstract_stripe_report.py | 8bbc43f639030b11e5cbc35f9ccbe8208d974f47 | [
"MIT"
] | permissive | petaldata/petaldata-python | 42fbe496ee259a2ffd4f083f5d420f28be273e44 | 6d3b7bdc8f2d6f6ef86f7e61606ffebed168c81d | refs/heads/master | 2020-05-16T14:34:28.724775 | 2019-06-06T22:47:49 | 2019-06-06T22:47:49 | 183,106,671 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,209 | py | import pandas as pd
import datetime
from datetime import datetime
from datetime import date
import pygsheets
import petaldata
from petaldata.datasets.stripe.reports import query_filters
from petaldata.datasets.stripe.reports.adjusted_invoices import AdjustedInvoices
class AbstractStripeReport(object):
def __init__... | [
"derek.haynes@gmail.com"
] | derek.haynes@gmail.com |
9d2fa34a66d6dbc7159a496377e64a378cf8bf8a | ebd5c4632bb5f85c9e3311fd70f6f1bf92fae53f | /P.O.R.-master/pirates/npc/BossAI.py | 20a0702863d316eba876ab90f147f6b3362cec96 | [] | no_license | BrandonAlex/Pirates-Online-Retribution | 7f881a64ec74e595aaf62e78a39375d2d51f4d2e | 980b7448f798e255eecfb6bd2ebb67b299b27dd7 | refs/heads/master | 2020-04-02T14:22:28.626453 | 2018-10-24T15:33:17 | 2018-10-24T15:33:17 | 154,521,816 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 568 | py | from direct.distributed import DistributedObjectAI
class BossAI(DistributedObjectAI.DistributedObjectAI):
def ___init___(self, air):
DistributedObjectAI.DistributedObjectAI.__init__(self, air)
def announceGenerate(self):
DistributedObjectAI.DistributedObjectAI.announceGenerate(self)
def ... | [
"brandoncarden12345@gmail.com"
] | brandoncarden12345@gmail.com |
cb860b9132b59035ea6c32bbac91d56cf9d58630 | 827e04177a3bec11aaa2a73eb124538e6712d7d8 | /blog/migrations/0005_blogpost_views.py | 3e51c827359ab40ec46b500b7538db4de86bd0f3 | [] | no_license | iamajaykharat/TechnoWorld-Dynamic-Blog | de938f11925346c2047e3436ecd57522096758ae | d1dad8f7c451e7516b76cea3623b74dac87a70ac | refs/heads/master | 2023-08-15T03:13:12.745049 | 2020-07-18T11:15:53 | 2020-07-18T11:15:53 | 280,628,874 | 0 | 0 | null | 2021-09-22T19:27:27 | 2020-07-18T10:00:52 | HTML | UTF-8 | Python | false | false | 401 | py | # Generated by Django 3.0.8 on 2020-07-18 09:11
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('blog', '0004_blogcomment'),
]
operations = [
migrations.AddField(
model_name='blogpost',
name='views',
f... | [
"iamajaykharat@gmail.com"
] | iamajaykharat@gmail.com |
dae4dad98f402fcd4f26493669a7c17624c0be8f | e7e4b4ee58aeb8d55ee4d301ff6debaaf6c1e3ff | /app/constansts.py | 60726dba9c0dd5a19ed7d997680ee0426737782f | [] | no_license | eduna75/news-reader | ef724a25536902d56259806f42a9b2d7948550b6 | d18775f52a6f6db8be1527a04c29f85ab2a90e67 | refs/heads/master | 2023-05-27T03:01:07.780629 | 2020-02-19T14:33:18 | 2020-02-19T14:33:18 | 30,923,274 | 0 | 0 | null | 2019-10-05T12:21:36 | 2015-02-17T15:33:43 | HTML | UTF-8 | Python | false | false | 233 | py | # User role
ADMIN = 0
STAFF = 1
USER = 2
ROLE = {
ADMIN: 'admin',
STAFF: 'staff',
USER: 'user',
}
# User status
INACTIVE = 0
NEW = 1
ACTIVE = 2
STATUS = {
INACTIVE: 'inactive',
NEW: 'new',
ACTIVE: 'active',
} | [
"justus@justus.justus"
] | justus@justus.justus |
636eabbfe9b1909c7aaa44fde421170464adefb2 | 7cf04200a04a92a682f50bbd3866ec1e0052278b | /ddosdb/ddosdb/apps.py | d476e18379ef2a359e7ff3b1dafdf87d0542971c | [] | no_license | ddosgrid/ddosdb | ca2a75816eeb81e45f25a9ee2d1d2b81cd496271 | 8491535c245d56fcf770fc3d7689f2ae4bc14559 | refs/heads/master | 2023-02-21T07:42:48.986929 | 2021-01-21T14:09:22 | 2021-01-21T14:09:22 | 294,374,673 | 0 | 0 | null | 2020-09-10T10:14:37 | 2020-09-10T10:14:36 | null | UTF-8 | Python | false | false | 87 | py | from django.apps import AppConfig
class DdosdbConfig(AppConfig):
name = 'ddosdb'
| [
"remco.poortinga@surfnet.nl"
] | remco.poortinga@surfnet.nl |
d64822947bd318ef999a252c8a3923e1a6f107a8 | f654f5f07dd8109c0ee31ba89dd4804e6b288343 | /src/programy/utils/oob/email.py | 7ce0678ee5141d87a71f7ce51bfe85ecb32f96c5 | [
"MIT"
] | permissive | sprinteroz/program-y | 3d1f5f28e4f3be770705d4bef15410b8b78f19da | 454c6bde225dce7c3fb01c549d46249248caf7b5 | refs/heads/master | 2021-01-19T16:05:25.636700 | 2017-08-22T03:56:33 | 2017-08-22T03:56:33 | 100,986,551 | 1 | 0 | null | 2017-08-21T19:43:43 | 2017-08-21T19:43:43 | null | UTF-8 | Python | false | false | 1,220 | py | import logging
import xml.etree.ElementTree as ET
from programy.utils.oob.oob import OutOfBandProcessor
"""
<oob>
<email>
<to>recipient</to>
<subject>subject text</subject>
<body>body text</body>
</email>
</oob>
"""
class EmailOutOfBandProcessor(OutOfBandProcessor):
def __init__(... | [
"keith@keithsterling.com"
] | keith@keithsterling.com |
9f900007269828e38296a9cb405a59c496d3de71 | 2479f74eec86d34c65f7c3b132346ca303e3cc23 | /TrueHome/TrueHome/wsgi.py | 41a3f3ce490255137f3a52f83adcb3749fc0b377 | [
"MIT"
] | permissive | AletzB/true_home_test | 2cdfa11161bc5258221e2d7ea2c0449ba73622ef | fc03fdf1ef09fe6283a4cd706c06e0a5a413a36d | refs/heads/main | 2023-03-05T15:26:54.785018 | 2021-02-16T22:33:01 | 2021-02-16T22:33:01 | 339,537,664 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 393 | py | """
WSGI config for TrueHome project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO_SETT... | [
"alexanderbermudez@usantotomas.edu.co"
] | alexanderbermudez@usantotomas.edu.co |
06aaaeed472b7854be2301e974e4720c1124be28 | ae0de2f4bc8e7436a4c6e789b6249fc51a9404d0 | /Speaker_Verification/src/layers/batch_preprocess.py | 16c0077eb3fcfa2ec82ff3d5c5d709a650256c1c | [
"MIT"
] | permissive | TaeYoon2/KerasSpeakerEmbedding | 69e1046ea401c7813fd032b5bd0fc9f2700d4a3b | a4a53ac0c209a283cab4969d61305f056a99b6c3 | refs/heads/master | 2020-11-25T20:27:05.072887 | 2019-12-18T12:28:54 | 2019-12-18T12:28:54 | 228,831,223 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,502 | py | import tensorflow as tf
class Batch_preprocess(tf.keras.layers.Layer):
def __init__(self, sr, fft_hop, fft_window, nfft, nmel, mode, window, hop, **kwargs):
self.sr = sr
self.fft_hop = fft_hop / 1000
self.fft_window = fft_window / 1000
self.nfft = nfft
self.nmel = nmel
... | [
"lty92@naver.com"
] | lty92@naver.com |
f07504b3b4c9717a85031b9b16b66da1b901b37c | 309d452ec97f7003e2ef681bde102986c373ebaf | /djangoAdmin/asgi.py | 59e54533ae58cfc71ac7cd20b79abb86954c498f | [] | no_license | CleytonCLois/APS-2020 | b2c99488a8e2ddef35e32163fdeddb64b6c00450 | 479330a416798e8ca6158f055f59ecbdd46a96a2 | refs/heads/master | 2023-07-11T10:07:38.138180 | 2020-11-18T00:00:36 | 2020-11-18T00:00:36 | 265,688,681 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 399 | py | """
ASGI config for djangoAdmin project.
It exposes the ASGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/dev/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('DJANGO_S... | [
"cleytonclois@gmail.com"
] | cleytonclois@gmail.com |
f5db9f6c7200aa09c359fa4156c99124cbaf9b9a | a7e09640c081cf858f30c3cc3fe2d6ffc986eb7c | /gui/system/migrations/0008_auto_20170906_2335.py | ead8a168e06533db3ffd002005ee3b25fcc68f3b | [] | no_license | cbwest3/freenas | 3fbeffe66c78a375843f138afd1ee306954a9c87 | 9947174014dd740145d540f03c1849a851f3b6e7 | refs/heads/master | 2021-04-30T13:59:53.975592 | 2018-02-12T05:25:55 | 2018-02-12T05:25:55 | 121,202,118 | 1 | 0 | null | 2018-02-12T05:01:39 | 2018-02-12T05:01:38 | null | UTF-8 | Python | false | false | 869 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.10.7 on 2017-09-06 23:35
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('system', '0007_auto_201708211858'),
]
operations = [
migrations.AddField(
... | [
"wg@FreeBSD.org"
] | wg@FreeBSD.org |
df93f65d97755a6b38917bb204e856bbf90a7efd | a0947c2778742aec26b1c0600ceca17df42326cd | /Python/PythonInADay2/CSV-Files-Drill/37of79-119.py | 7707852ef6e09fc8a3743fa9851f02ce0b0f3c43 | [] | no_license | JohnCDunn/Course-Work-TTA | 5758319d4607114914ba9723328658bed8fb2024 | 8c4f60d51007dac2ac4cceb84b0f9666e143c0d7 | refs/heads/master | 2021-01-10T16:37:02.609879 | 2016-02-01T18:05:38 | 2016-02-01T18:05:38 | 49,983,248 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,560 | py | import wx, db_program
class Frame(wx.Frame):
def __init__(self, title):
wx.Frame.__init__(self, None,\
title=title, size=(800,600))
panel = wx.Panel(self)
# Creating the menu bar
menuBar = wx.MenuBar()
fileMenu = wx.Menu()
exitItem = fileMenu.Append(wx... | [
"JohnClydeDunn@Gmail.com"
] | JohnClydeDunn@Gmail.com |
c41d4a8545a558b242743537e1ac944437a90c6d | 448a18bb54062a5e477f17adc3e2dbf7f5d19586 | /preparation/get_density_map_gaussian.py | a122a91d4b95a63824a9e382f05cccc8cf12269a | [] | no_license | guoswang/Crowd-Counting | ae65e3f567e96ea7d31f9099e5ab757abee5b153 | 1c1e1b3f712039a7411dd405ff01c984cc9d5673 | refs/heads/master | 2020-04-16T13:29:45.938637 | 2018-09-25T14:52:33 | 2018-09-25T14:52:33 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,981 | py | import numpy as np
import math
def matlab_style_gauss2D(shape=(3, 3), sigma=0.5):
"""
2D gaussian mask - should give the same result as MATLAB's
fspecial('gaussian',[shape],[sigma])
"""
m, n = [(ss - 1.) / 2. for ss in shape]
y, x = np.ogrid[-m:m + 1, -n:n + 1]
h = np.exp(-(x * x + y * y) ... | [
"609012488@qq.com"
] | 609012488@qq.com |
41e10feedfe876d5f99cdf53a89cb472419a65d8 | 1ab04c85e37f1d5fc49dcf8054fd551104a1ad58 | /helloworld.py | 6ed25b2f85330ac67172666f6458a4af939a189a | [] | no_license | htetphyoaung97/Athina | 33a4286d4bf5998fbbad9b0be25d4c13246ffc87 | 0c55df96604656b5efa05fd65d11c6b0337e7392 | refs/heads/master | 2022-11-16T17:55:16.234385 | 2020-07-17T08:50:13 | 2020-07-17T08:50:13 | 280,368,853 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 128 | py | input1 = input("Enter Your First Name:")
input2 = input("Enter Your Last Name:")
result = input1 + " " + input2
print(result) | [
"dev.htetphyoaung@gmail.com"
] | dev.htetphyoaung@gmail.com |
1cb1a5a7d714a543f49ebabf54a2b5ea99009cc6 | 85a9ffeccb64f6159adbd164ff98edf4ac315e33 | /pysnmp-with-texts/DFL260-MIB.py | 125dad8d74ee966bee6ebfc13c5c740e0dec552b | [
"Apache-2.0",
"LicenseRef-scancode-warranty-disclaimer",
"LicenseRef-scancode-proprietary-license",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | agustinhenze/mibs.snmplabs.com | 5d7d5d4da84424c5f5a1ed2752f5043ae00019fb | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | refs/heads/master | 2020-12-26T12:41:41.132395 | 2019-08-16T15:51:41 | 2019-08-16T15:53:57 | 237,512,469 | 0 | 0 | Apache-2.0 | 2020-01-31T20:41:36 | 2020-01-31T20:41:35 | null | UTF-8 | Python | false | false | 96,348 | py | #
# PySNMP MIB module DFL260-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/DFL260-MIB
# Produced by pysmi-0.3.4 at Wed May 1 12:42:07 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:... | [
"dcwangmit01@gmail.com"
] | dcwangmit01@gmail.com |
de5eea017c032a61da30c0fc838bd5c7842e7b01 | 7ad35f591c8ac671022eb02fa0de3f76b767345b | /_static/scripts/part2/helloobject/run_hello.py | dff12d4f74edd27ded2abce5bb1db3c176a9443b | [
"CC-BY-4.0"
] | permissive | mattsinc/learning_gem5 | 8d68ca4290ef34312d75580c98797fe3ce47f265 | 702f89f6b657e5d9201978333e56f2882e6f49fe | refs/heads/master | 2021-01-23T08:33:19.830467 | 2018-09-14T05:02:38 | 2018-09-14T05:05:51 | 102,510,868 | 0 | 0 | null | 2017-09-05T17:29:40 | 2017-09-05T17:29:40 | null | UTF-8 | Python | false | false | 2,359 | py | # -*- coding: utf-8 -*-
# Copyright (c) 2016 Jason Lowe-Power
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met: redistributions of source code must retain the above copyright
# notice, this list o... | [
"power.jg@gmail.com"
] | power.jg@gmail.com |
2a63560da1481242bfff318fc858f7393a06df42 | 44080d747fd7454c11d575baaa4dcd17acc2b362 | /gamelogic.py | 9f18ae845471796a06a89c45078b8bb4589a2b0b | [] | no_license | oltyan/mathmagical | 545fd38e552becc50067558dcaf0bb652c253fdb | 73cc3869323d4914044098bfa918f03613eb0b0d | refs/heads/master | 2021-09-02T06:21:43.263209 | 2017-12-31T01:01:44 | 2017-12-31T01:01:44 | 109,418,597 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,759 | py | import random
def get_continue(hp,enemy_count):
if hp > 0 and enemy_count > 0:
return True
else:
return False
def choose_difficulty():
print("Please Select a difficulty: \n"
"1. Easy (5 mosters, 0-10 numbers\n"
"2. Challenge (8 monsters, 0-20\n"
"3. Brutal (10... | [
"oltyan@gmail.com"
] | oltyan@gmail.com |
3d76da29d6541bdb7ca2bb2cb1dd9e631ec40f74 | bbe420ca711776140452b5639b935e37feb7d8ea | /Task1/chapter26.py | f2970c154dab1352dd124f107528c2c59dac5de3 | [] | no_license | shkhaider2015/artificial_intelligence | 9f2f156ab2cadcdc38f2c576f1af66667f21dc86 | 785e00dac28cec64a4b35068dbef0d1dcfc5ff3c | refs/heads/master | 2020-03-28T20:27:33.406289 | 2018-11-22T09:11:25 | 2018-11-22T09:11:25 | 149,072,716 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 163 | py | Data = {
"Name:": "Usama Riaz",
"ID:": "1500-2015",
"Age:": "21",
"DOB:": "29/05/1997",
"Location:": "Karachi"
}
for a,b in Data.items():
print(a,b) | [
"43218437+shkhaider2015@users.noreply.github.com"
] | 43218437+shkhaider2015@users.noreply.github.com |
db0aaaaee506d0a2bec90b0566b95ef7f862eee9 | 2dc50cd2aaf094bb4ceafc06d0a32633dc2b0c6b | /imagenet/models_cifar/resnet2.py | bb780ffbcf985c6bf700b75255f586ece5a8acb1 | [] | no_license | jaykuo2005/RBNN | 3a17b57ad75e9e94a27e36b18d7fdcf7707f7080 | f7df8d66bf4b67030fc5a399a37be6df94332e64 | refs/heads/master | 2023-03-24T09:11:48.088776 | 2021-03-15T05:15:32 | 2021-03-15T05:15:32 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,704 | py | '''ResNet in PyTorch.
For Pre-activation ResNet, see 'preact_resnet.py'.
Reference:
[1] Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
Deep Residual Learning for Image Recognition. arXiv:1512.03385
'''
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.nn.init as init
from modules ... | [
"791411501@qq.com"
] | 791411501@qq.com |
1695a61483d9bea6d281bfd9b4b698c7c37bdbc1 | 1e1efdc1900ec0242dfb1c7a425f5b7874241054 | /NLG_Rap_Bot/CreateIndex_NLG.py | 545bd4a7ba00a8d9198e353635bffcc58e0d3007 | [] | no_license | liam9/FreeStyle | 01bcda77a16ef1b2beacab9840ba521f6dbc09ed | b65a4ac668cb2dc24c689cec20aa3509d472d327 | refs/heads/master | 2020-03-26T15:57:09.864565 | 2018-08-17T05:47:32 | 2018-08-17T05:47:32 | 145,073,467 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,006 | py | '''
This file indexes the lyrics so that the rhymes can be found very quickly
'''
import sys,os
dir = os.path.dirname(__file__)
'''
This function indexes the lyrics. The index acts like a dictionary where the key is the rhyme and the value is
the sentence which the rhyme is in.
'''
def IndexLyrics... | [
"noreply@github.com"
] | liam9.noreply@github.com |
cf8ae1bf18dadeb8aa363dc03bb7037db385880c | 3747768c664256fe65108b4bc21e6baa7eb7a613 | /ex5_2.py | 134e8bdceb2cf74704904190393ea28a661a4674 | [] | no_license | Ellzud/Python_Hard | c4a41e606620b426c7e16410190598d30049e17c | 32c1bb12f18bde9b1d7d7516cd4621ac9416ab8d | refs/heads/master | 2020-03-12T15:53:32.439419 | 2018-04-25T13:54:39 | 2018-04-25T13:54:39 | 130,702,309 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 637 | py | # Learn python the hard way
# exercise 5
# more variables and printing
# Rafael Serrano 4/23/2018
name = 'Zed A. Shaw'
age = 35 # not a lie
height = 74 # inches
weight = 180 # lbs
eyes = 'Blue'
teeth = 'White'
hair = 'Brown'
print "Let's talk about %s." % name
print "He's %d inches tall." % height
print "he's %d poun... | [
"serrano.rafael1@gmail.com"
] | serrano.rafael1@gmail.com |
d19988ad33589d48cc57918d518294a2fd6150d7 | c9ddbdb5678ba6e1c5c7e64adf2802ca16df778c | /cases/synthetic/exp-big-490.py | 878f7cc3ed471a6dd801ce1f464e12d880342a22 | [] | 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 | 3,180 | py | # Compute x**y
def exp(x: int, y: int) -> int:
a: int = 0
a2: int = 0
a3: int = 0
a4: int = 0
a5: int = 0
def f(i: int) -> int:
nonlocal a
nonlocal a2
nonlocal a3
nonlocal a4
nonlocal a5
def geta() -> int:
return a
if i <= 0:
... | [
"647530+Virtlink@users.noreply.github.com"
] | 647530+Virtlink@users.noreply.github.com |
0b03d074fa0c57ddbd4539401be24204d3559b54 | 322df586ef094872d4c4609097bcf3e52c361695 | /test/operations/math/test_div.py | c8d4161e541ba3d40cd52468dfb862576e53b667 | [
"MIT"
] | permissive | xpenalosa/PyPc | 04b19d05d8628d39f9bc8759e3875620cce89c06 | fff3ae29b800d127d261492098aecbbf6719bd07 | refs/heads/master | 2020-12-09T06:22:11.306317 | 2020-02-16T21:11:30 | 2020-02-16T21:11:30 | 233,220,411 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,282 | py | from pypc.memory import MemoryTypes
from pypc.operations import Operations
from test.operations.operation_test import OperationTestBase
class DivTest(OperationTestBase):
def test_div_basic(self):
memory_type = MemoryTypes.BASIC
initial_data = "\n".join([
"DIV 8, 2, 0"])
expect... | [
"xavier.penalosa.esteller@gmail.com"
] | xavier.penalosa.esteller@gmail.com |
ac25687848306c6a9cff59e9ab2267b666d426d9 | 71f00ed87cd980bb2f92c08b085c5abe40a317fb | /BestOreo/W2V_CNN_robustchecking.py | e2d480f65e769e2d5e81dee662d63187818b0ca9 | [] | no_license | factoryofthesun/Rao-NLP | 2bd8269a8eed1cb352c14c8fde88e3111ccca088 | 87f9723f5ee51bd21310d58c3425a2a7271ec3c5 | refs/heads/master | 2023-04-18T08:54:08.370155 | 2020-06-09T23:24:07 | 2020-06-09T23:24:07 | 248,070,291 | 0 | 1 | null | 2021-04-30T21:13:04 | 2020-03-17T20:49:03 | Python | UTF-8 | Python | false | false | 9,146 | py | # -*- coding: utf-8 -*-
"""Shuaiqi_train.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/11DfSUkrGQfPsEtfHoJxewiBcqBM8OlfZ
"""
# Commented out IPython magic to ensure Python compatibility.
# %tensorflow_version 1.x
import tensorflow as tf
import ... | [
"guanzhi97@gmail.com"
] | guanzhi97@gmail.com |
22587d55f9f9fab4188c819fa38b8dfd4eef0c1d | d7a88bb64c1b343ebbacf140ba07495c23e1cc3d | /NegStars.py | fa287ce660e4fde3769cb20b5fcf2e39ea6e6b2c | [] | no_license | RubyEye7/Week-1 | b485c103b296bec5e0fa6b7f613de3ae22582cc4 | ff499338b8e630caeb513e41f58c772227d9f236 | refs/heads/master | 2020-03-23T00:54:35.559294 | 2018-07-13T20:54:21 | 2018-07-13T20:54:21 | 140,891,609 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 114 | py | a = int(input("How many lines do you want: "))
count = a
while(count > 0):
count -= 1
print("**" * count)
| [
"40636561+Andrew800@users.noreply.github.com"
] | 40636561+Andrew800@users.noreply.github.com |
92322e9b068c373a41915258ab7f5d03e802e076 | 187dfad282778ba66c9fbc410e53a25410b8ad57 | /hellosign_python_sdk/tests/functional_tests/test_team.py | cb8dc2198a36e323e5900c81bbf5c88276884f63 | [] | no_license | binti-family/hellosign-python-sdk | eaff6f0bd1d1905cc5a0e64d6cd7e9b70adad8b3 | 5acf8c74c4ae85e6a7be9e850d8d1f2a55c11595 | refs/heads/master | 2021-01-21T02:41:13.123103 | 2014-03-26T08:00:22 | 2014-03-26T08:00:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,489 | py | from unittest import TestCase
from hellosign_python_sdk.tests.test_helper import api_key
from hellosign_python_sdk.hsclient import HSClient
from hellosign_python_sdk.resource.team import Team
from hellosign_python_sdk.utils.exception import NotFound, HSException, InvalidEmail, Forbidden
class TestTeam(TestCase):
... | [
"minhdanh@tgm.vn"
] | minhdanh@tgm.vn |
92477151719bfd2fe4fb01b879caecf255490283 | 9fa57500b2f5201048da971d1e5e5cc4af056dc9 | /tests/unit/models/reddit/test_inline_media.py | ec5a18607b1761d46a42e6768b73a9a6810a1df5 | [
"BSD-2-Clause"
] | permissive | LilSpazJoekp/asyncpraw | 7fc95bf88f875010097d601e7f488748392fedf6 | afddfb770b31a08f06a1b8ced6af803e499804e7 | refs/heads/master | 2022-04-01T09:42:42.035001 | 2022-03-04T21:32:09 | 2022-03-04T21:32:09 | 320,988,731 | 0 | 0 | BSD-2-Clause | 2020-12-13T05:19:57 | 2020-12-13T05:10:34 | null | UTF-8 | Python | false | false | 2,307 | py | from asyncpraw.models import InlineGif, InlineImage, InlineMedia, InlineVideo
from ... import UnitTest
class TestInlineMedia(UnitTest):
def test_equality(self):
media1 = InlineMedia(path="path1", caption="caption1")
media1.media_id = "media_id1"
media2 = InlineMedia(path="path1", caption=... | [
"15524072+LilSpazJoekp@users.noreply.github.com"
] | 15524072+LilSpazJoekp@users.noreply.github.com |
e6a936ccc3de105e36ffef350ea2096d974dc9f0 | 760e1c14d056dd75958d367242c2a50e829ac4f0 | /剑指offer/6_旋转数组最小的数字.py | 795e06ad064cd143007a5bdc31ea65296446baea | [] | no_license | lawtech0902/py_imooc_algorithm | 8e85265b716f376ff1c53d0afd550470679224fb | 74550d68cd3fd2cfcc92e1bf6579ac3b8f31aa75 | refs/heads/master | 2021-04-26T22:54:42.176596 | 2018-09-23T15:45:22 | 2018-09-23T15:45:22 | 123,894,744 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 950 | py | # _*_ coding: utf-8 _*_
"""
把一个数组最开始的若干个元素搬到数组的末尾，我们称之为数组的旋转。 输入一个非递减排序的数组的一个旋转，输出旋转数组的最小元素。 例如数组{3,4,5,1,2}为{1,2,3,4,5}的一个旋转，该数组的最小值为1。 NOTE：给出的所有元素都大于0，若数组大小为0，请返回0。
__author__ = 'lawtech'
__date__ = '2018/5/9 下午9:35'
"""
class Solution:
def minNumberInRotateArray(self, rotateArray):
# write code here
... | [
"584563542@qq.com"
] | 584563542@qq.com |
a82beeb3c4f4b2b11632854d1f7251427ba6389b | 9d5c9d9373002ab4ed1b493136517e8b4ab160e5 | /saas/backend/apps/application/migrations/0009_auto_20200902_1134.py | 1040ea6a30228a6fcf4b7f4921d2955e0bf91fbf | [
"MIT"
] | permissive | robert871126/bk-iam-saas | f8299bb632fc853ef0131d445f84c6084fc84aba | 33c8f4ffe8697081abcfc5771b98a88c0578059f | refs/heads/master | 2023-08-23T19:23:01.987394 | 2021-10-22T09:45:28 | 2021-10-22T09:45:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,183 | py | # -*- coding: utf-8 -*-
"""
TencentBlueKing is pleased to support the open source community by making 蓝鲸智云-权限中心(BlueKing-IAM) available.
Copyright (C) 2017-2021 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in compliance with th... | [
"zhu327@gmail.com"
] | zhu327@gmail.com |
a315cc93eb48378a0694c0131b8d1a8bd460e157 | 432b9b1ba469ef94ffd93065d4fde5d8c89f1a6e | /DM3/src/data.py | 22298997aad2e1ff16e001bfe849a1acca56c01a | [] | no_license | NelleV/SVM | 0ea9931e2152d6200ef094325a9f1838eed99943 | a46cfecb7f5d4361a93d36bdf85c2cc76c72838b | refs/heads/master | 2020-06-05T07:31:34.034416 | 2012-03-06T19:36:40 | 2012-03-06T19:36:40 | 3,238,738 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 392 | py | import csv
import numpy as np
def libras_movement():
"""
Fetches the Libras Movement dataset
Returns
-------
X, Y
"""
dataset = csv.reader(open('data/movement_libras.data', 'r'))
X = []
Y = []
for element in dataset:
X.append(element[:-1])
Y.append(element[-... | [
"nelle.varoquaux@gmail.com"
] | nelle.varoquaux@gmail.com |
13cfea6db55dada74d7680481f21ba2ede13b5c4 | 616024faf0f95aafb76db2f6caa96c5aa2fccbf0 | /session.py | a8ae892a5f0b1041e9f8ff87a3aff9387c6a857b | [] | no_license | Shevane12/Chisel | 154f0025664f23c0eaf52ebcb64aa3a7c2495115 | d3a7e8a5926e5ed9ed6edf0fed6e166387352e8c | refs/heads/master | 2022-12-30T05:56:08.033868 | 2020-10-23T23:27:48 | 2020-10-23T23:27:48 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,057 | py | from requests import Session
from selenium.webdriver import Chrome
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support.expected_conditions import title_is
from selenium.common.exceptions import TimeoutException
from selenium.webdr... | [
"deboer.wilco@gmail.com"
] | deboer.wilco@gmail.com |
915d93ebfb350f0981dab2804861e7fe19306cc7 | b0ede55e98d454f558e5397369f9265893deedb5 | /SWEA/D3/4698_special_prime.py | 7e90335df7e3a59a8beb755177ef82b1905f53a7 | [] | no_license | YeonggilGo/python_practice | 5ff65852900c4c6769d541af16f74a27a67920ec | 43082568b5045a8efc1d596074bdca3e66b2fed1 | refs/heads/master | 2023-06-22T02:09:31.906745 | 2023-06-17T01:27:22 | 2023-06-17T01:27:22 | 280,361,205 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 499 | py | primes = []
numbers = [True] * 1000001
numbers[0], numbers[1] = False, False
for i in range(2, 1000001):
if numbers[i]:
primes.append(i)
for j in range(i, 1000001, i):
numbers[j] = False
T = int(input())
for tc in range(1, T + 1):
D, A, B = map(int, input().split())
ans = 0
for prim... | [
"dudrlf1859@naver.com"
] | dudrlf1859@naver.com |
ba59ebba2e068546face3a92c586930dc6c334c9 | a45c87da1d573891a6009546b58320e6e9e0a54e | /html_compiler/compiler.py | ca07b433b7198def73b4a5f7ebd278ef26c0fcb4 | [
"MIT"
] | permissive | hsuanhauliu/html-compiler | f805254a5b58c3b21a95882d98784f55d63547fb | 17f2659b95153690b517f58964f9002426c08c03 | refs/heads/master | 2020-09-11T12:00:12.677145 | 2019-12-14T06:10:05 | 2019-12-14T06:10:05 | 222,057,278 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,204 | py | """
Compiler module.
"""
import os
from bs4 import BeautifulSoup
def compile(path):
""" Recursive function for merging components """
soup = ""
next_dir, filename = _separate_dir_and_file(path)
with cd(next_dir):
with open(filename, "r") as rfile:
soup = BeautifulSoup(rfile, ... | [
"hsuanhal@usc.edu"
] | hsuanhal@usc.edu |
62c33222a67be9a4d9938a2ef8513d7ecd54029e | 544356d5eacf67a27b5be7dfb276a919a232f547 | /post_test.py | ac6510a661435ee9210a0fa9382cf6dc6454a849 | [] | no_license | drellxor/wolf_markov | 8967d660bd248d674b47ae65fa1bc9d6a9fa8497 | 8df4e882464209461bf9f3d4c43ee3888ec747e0 | refs/heads/main | 2023-04-12T19:52:20.339640 | 2021-05-03T14:44:42 | 2021-05-03T14:44:42 | 322,602,373 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 489 | py | import vk_api
from markov_wolf import MarkovWolf
if __name__ == '__main__':
# session = vk_api.VkApi(token='c8767213cdfa52be374952b3eb9632c6d4ed4b442b8202ed295efba6520613f8d1eb109a2a302595a6b59')
# api = session.get_api()
#
# uploader = vk_api.upload.VkUpload(api)
# result = uploader.photo_wall([pi... | [
"tryakinan@gmail.com"
] | tryakinan@gmail.com |
b11803d6a0a1957d777cda1dc1d36376308e22ff | 00dfa1c55b2c3e6ad98e2e1ceebcdabb65bb3712 | /Recursion/tower_of_hanoi.py | f2fe72980f98b55d2fb878c8479f8cd2434956ca | [] | no_license | taddes/algos_python | 889f580c296ced1b74fdebbb38ba16df1249306a | b72417e53fe9b45ed12270716fe13cbed6a178d1 | refs/heads/master | 2023-02-12T00:43:36.414418 | 2021-01-02T23:15:33 | 2021-01-02T23:15:33 | 284,581,471 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,281 | py | """
Three rods and a number of disks of different sizes which can slide on any rod.
Puzzle begins with the disks in a neat stack in ascending order of size on the leftmost
rod. The smallest disk is at the top, making a conical shape.
Rules:
Only one disk can be moved at a time
Each move consists of taking the upper di... | [
"taddes.korris@gmail.com"
] | taddes.korris@gmail.com |
0c7002f95919d1deecaa962259fac4be46263738 | 5dcfef2058f8daae0a6b3436cde9486562943c8c | /2016/Computer Vision Labs/Lab 1/hellocv.py | eb569449a606d236369f864fdd6c99c1044b97d5 | [] | no_license | RhysAgombar/CV-Misc-Files | 84f8c258edb981885192ab0d1b091c7564244328 | 8cc98c04a8c0b0fd6a5951f86db132fd4fc58bb0 | refs/heads/master | 2021-01-20T02:29:21.211280 | 2017-04-25T23:15:13 | 2017-04-25T23:15:13 | 89,414,721 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 161 | py | from cv2.cv import *
img = LoadImage("C:/Users/100515147/Desktop/Computer Vision Labs/Lab 1/test.jpg")
NamedWindow("opencv")
ShowImage("opencv",img)
WaitKey(0)
| [
"Rhys.Agombar@uoit.net"
] | Rhys.Agombar@uoit.net |
5fa380db591b15f03f9b47603efafac84ba50a64 | 994e60f19bf8cf45317cf48a92bee64ac798eb44 | /code/loop.py | b487f1a007b8844e7844a0e86234323c812c3b58 | [] | no_license | ozntur/col_oil_prod | ad74e9182d594ca30cda213d8e7648cb8e8e0c4b | 15247b2c937a7f5cf6ee64e520f74578fc07ca11 | refs/heads/master | 2022-11-07T05:52:02.642364 | 2020-07-02T18:43:27 | 2020-07-02T18:43:27 | 276,159,482 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 959 | py | # USEFUL LOOP TO DOWNLOAD DATA
import geopandas as gpd
import pandas as pd
ds = gpd.read_file('data/WELLS_SHP/Wells.shp')
print('asd')
#print('done')
print(ds.API[ds.Facil_Stat == 'PR'])
#print('done')
d = {}
for x in (ds.API[ds.Facil_Stat =='PR']):
a = ds.API_County.loc[ds.API == x].item()
b = ds.API_Seq.lo... | [
"ozan.turkes@gmail.com"
] | ozan.turkes@gmail.com |
2bc6bf87b8a17707f937427fda6c823672244a56 | 14303ddae70645ed8beb32c869fa00a9bd7870a1 | /orbit_return.py | eb87165ca0c0b88340cbbebe04499046bba9aeb8 | [] | no_license | bpmagallon/Diwata1_Orbit | 65e292906122005afe58b041376f71147f185d97 | d2463233317ab5af126a266920da5c247fd72b78 | refs/heads/master | 2021-01-10T14:21:22.583284 | 2016-03-13T20:34:43 | 2016-03-13T20:34:43 | 53,806,032 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 5,740 | py | import numpy as np
import math
import dateAdd
import urllib
import geoc_geod
import getXY
import arcpy
import getNearest
import ephem
import datetime
import geod_to_geoc
import isAM
import groundtrack
import get_vector
import spherical
arcpy.env.overwriteOutput = True
celestrak = urllib.urlopen("http://www.celestrak.... | [
"bpmagallon@gmail.com"
] | bpmagallon@gmail.com |
504c177772b52656ec86a57238ff9dc5ffc4b589 | 172adddeaf9da90f39fbb7e93b59e2369f44d64a | /level_2/next_bignum.py | f43fbbb3e67c5ce6011d2cac06bf65c397728152 | [] | no_license | sujin16/studycoding | 1e7bae941513e4d65e3df44cbde471764940b7e9 | 1a394f3fd6851c296dc37fba0d67b01cc665ecce | refs/heads/main | 2023-03-14T03:51:14.022481 | 2021-03-04T12:56:04 | 2021-03-04T12:56:04 | 324,210,004 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 161 | py | def solution(n):
num =list(bin(n)).count('1')
i =1
while True:
n+=1
if list(bin(n)).count('1') ==num:return n
n=15
print(solution(n)) | [
"tnwls9712@ajou.ac.kr"
] | tnwls9712@ajou.ac.kr |
2707f52621ecd803872de5c8f53a8a4582b75aef | 6814c5b1facf4c5a2a1b35e194a50a67c6e547b8 | /classifier.py | 2f41d6d38436823ebee17c62f85e90babc9b8e9f | [] | no_license | Sahana012/Model-View-Controller | f9a9916dd78eb336930772174c6c366b8d648109 | 15fc6b7035635442046f0c0910f6e08d0122795b | refs/heads/main | 2023-06-22T21:22:18.644303 | 2021-07-25T01:30:03 | 2021-07-25T01:30:03 | 389,233,222 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,366 | py | import numpy as np
import pandas as pd
from sklearn.datasets import fetch_openml
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from PIL import Image
import PIL.ImageOps
X = np.load('image.npz')['arr_0']
y = pd.read_csv("labels.csv")["labels"]
print(pd.Series(y... | [
"noreply@github.com"
] | Sahana012.noreply@github.com |
67a5365443ffe32e04263ef87eabb797f29e9ddf | af0661c89e70c914f9e2f1e5053fae69558b7c71 | /Lesson_01/Lesson_01.py | a4c7052cf1214813a906c7ccf1cb269aa7b16662 | [] | no_license | kamyninatatyana/DataSearch | ca1021233ed53874dbbca57f70d3eecd722c5b20 | dceee3bcdf55a8ad418c69921d2cf77efec0f921 | refs/heads/master | 2023-04-07T04:11:11.935750 | 2021-04-17T13:59:50 | 2021-04-17T13:59:50 | 358,893,118 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,746 | py | import requests
import json
# Задание 1
# Посмотреть документацию к API GitHub, разобраться как вывести список репозиториев для конкретного пользователя,
# сохранить JSON-вывод в файле *.json.
print('Задание 1')
print()
user_name = 'kamyninatatyana'
my_url = 'https://api.github.com'
my_request = requests.get(f'{my_u... | [
"tatyanak@yandex.ru"
] | tatyanak@yandex.ru |
deb50bc3047abbdefa3468e418745c566c58248e | a985c6024fb0ab2665ed49eb82f01dedb6209531 | /logs.py | 01e49ca7d71c4e17280d07106ee3fccd0ca64b9e | [] | no_license | JessDF/LogsAnalysisProject | 7f4a914bdb64950ea685895492c818bc5ef9dad9 | c04aed4b4a53c5e925eccf97c17117aedb4995f6 | refs/heads/master | 2021-05-16T10:15:37.641460 | 2018-01-02T21:36:29 | 2018-01-02T21:36:29 | 104,678,943 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,733 | py | #!/usr/bin/env python3
# ---------------------- DESCRIPTION ---------------------
# logs.py is an example of how to query a Postgresql database
# to report data from a news website. The purpose is to obtain
# information from the newsdata and ouput it.
import psycopg2
DBNAME = 'news'
def process_query(us... | [
"noreply@github.com"
] | JessDF.noreply@github.com |
63c68801afba7e64361b69647cb7a4ce297ee086 | 60c71a35efed4321ace93042f822896cd3eb5588 | /app/spider/reply/generate_reply_spider.py | 85fa1b27a79ea64b8b6bf88904236d8b03d0e1fb | [
"Apache-2.0"
] | permissive | zkguchun/ASoulCnki | b3e21ba3f7c1a5ff4840c73346469418a3d6ec52 | e66b8427dac68ed0fd0347447c93f161a04ff785 | refs/heads/master | 2023-06-30T07:20:03.496162 | 2021-07-25T02:08:06 | 2021-07-25T02:08:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,235 | py | from app.config import sqla
import datetime
import app.models as models
import tasks
def send_low_priority_reply_spider_task():
session = sqla['session']
three_day_ago = int((datetime.datetime.now() - datetime.timedelta(days=3)).timestamp())
low_priority_reply_task = session.query(models.UserDynamic).filt... | [
"stream2000@139.com"
] | stream2000@139.com |
f74f9719deb520d9f4b0f1dbb3b693f5511b8485 | 2fbf9e271de7889d15fe78696cbb4807f35fcc30 | /boards/views.py | 2559b77fa121c89158261e694ca58572d3a89057 | [] | no_license | xsaints/proj0064 | 03c990a0fc2be269c079b07399fb651b9fbd7bd2 | 49c80b3eba89418d5b24f838140bbf2be1d3c242 | refs/heads/master | 2020-04-03T12:41:09.786367 | 2018-10-29T18:42:27 | 2018-10-29T18:42:27 | 155,259,737 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,427 | py | from django.shortcuts import render, get_object_or_404
from django.http import HttpResponseRedirect
from django.urls import reverse
from .models import Board, Topic, Post
from .forms import NewTopicForm, NewPostForm
'''
def home(request):
return render(request, 'boards/home.html')
'''
def boards(request):
'''... | [
"xsaints@yahoo.com"
] | xsaints@yahoo.com |
cb9fbb26c3919aa6d7f1384ed52081e21a14efb5 | b514dce7f2796022bb50792e8fb22265160eb3e7 | /experiments/sf-heuristic/make-testbed-exp-testbed-ga.py | 53ef07cacf538b50c2985144f297d718ea448b85 | [] | no_license | imec-idlab/tsch-slotbonding-ga-simulator | 7ac48b12fa8165e01c6f38702f78be31f5081136 | 7fe670baa7ea5f6319d7f5ad5ab77d590100d0cb | refs/heads/main | 2023-02-24T07:13:50.483590 | 2021-02-02T11:49:07 | 2021-02-02T11:49:07 | 335,271,078 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 5,018 | py | import random
import json
import os
import sys
sys.path.insert(1, '../../simulator/SimEngine/')
random.seed(100)
ITERATIONS = 20
INPUT_DIR = '../input'
MAX_SEED = 10000
random_seeds = []
##### SIMULATOR SPECIFIC SETTINGS #####
expLength = 300 # seconds
cooldownLength = 60 # seconds
simulator_config = {}
simulato... | [
"glenn.daneels@uantwerpen.be"
] | glenn.daneels@uantwerpen.be |
9dbdc9a4865ba9be97a3a163f61fe24566c2591a | 8cb3604a6cba69d13ec7ee0c38b8c617daff5d82 | /Array/sort012.py | 3e1b1633707ceabd5d681f6bccd1e4f0910f5557 | [] | no_license | therohitsingh/CODE | 6e4ba53f52d939ada183e6d02a4f03f1c0680cde | d803a226d24afc6b7e417be6ef1e51e81da9fe92 | refs/heads/master | 2023-06-10T09:14:50.703222 | 2021-07-02T15:52:40 | 2021-07-02T15:52:40 | 382,393,947 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 666 | py | def sortarr(a,n):
a = []
n = len(a)
count0 = 0
count1 = 0
count2 = 0
for i in range(n):
if a[i]==0:
count0+=1
elif a[i]==1:
count1+=1
elif a[i]==2:
count2+=1
i = 0
while(count0>0):
a[i] = 0
i+=1
... | [
"therohitsinghr@gmail.com"
] | therohitsinghr@gmail.com |
12c5fac8d736aaa2b4d1f2cb36d9d2f8cbecc0b1 | fac5254bbad63a9abdf77c575b76a86b47f62a29 | /fetch_and_prepare/people_dataframe.py | 4ea51ae19426d70e5f330182beea0ff74675ffc4 | [] | no_license | Nickheythatsme/baseball-ml | 91aa1a00ec1472118b6a9da07728b6ec1d08961e | 0159695a3a82e1a02a7622384b04cafd8e41df68 | refs/heads/master | 2020-06-06T06:54:59.134126 | 2019-06-21T06:24:42 | 2019-06-21T06:24:42 | 192,671,070 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 629 | py | from baseball_dataframe import BaseballDataFrame
class PeopleDataFrame(BaseballDataFrame):
def __init__(self):
super().__init__('people.csv')
print(super().memory_usage())
self['birthYear'] = self['birthYear'].fillna(value=0).astype('int')
self['birthMonth'] = self['birthMonth'].fi... | [
"nick_grout@ext.airbnb.com"
] | nick_grout@ext.airbnb.com |
b8fbc89b00c608ef7d1a47c1ca35b6688318a5ea | 2776f806297ae2f05d6c6bcbf2205ed8eb3b9db8 | /ico/tests/contracts/test_require_customer_id.py | 3dfa23e0d176551f9efd672c9a4c5a07982db7b1 | [
"Apache-2.0"
] | permissive | ZOLTbyZENUM/ico | 138207db242053ded62ecc9a4f7d273209232a3f | 26e4ae717e5f04a3f41f32f5f52f7dddedaac65d | refs/heads/master | 2022-12-12T16:01:40.922647 | 2018-02-28T12:47:33 | 2018-02-28T12:47:33 | 123,442,497 | 0 | 0 | NOASSERTION | 2022-12-08T00:42:32 | 2018-03-01T14:02:07 | Python | UTF-8 | Python | false | false | 2,433 | py | """Customer id tracking."""
import uuid
import pytest
from ethereum.tester import TransactionFailed
from eth_utils import to_wei
from ico.tests.utils import time_travel
from ico.state import CrowdsaleState
from sha3 import keccak_256
from rlp.utils import decode_hex
@pytest.fixture
def crowdsale(uncapped_flatprice,... | [
"mikko@opensourcehacker.com"
] | mikko@opensourcehacker.com |
72212e31ccf58f2dc7b46b3e6ecd97d710db25ae | db54b1234f2c7e2c1fda0700365cad4937d13089 | /musicbrainz/search/urls.py | 5b2eae9d6470a58e188065a4c071b3a2ce4d94d8 | [] | no_license | manuelmamut/musicbrainz_search | 6add73fe1ef9f6786fcefefa7c19fd993979736f | 72ce439809cbbf4a0b3b5556363a7eb16b9c8bd4 | refs/heads/master | 2020-03-26T17:19:21.415485 | 2018-08-22T02:05:52 | 2018-08-22T02:05:52 | 145,154,966 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 452 | py | from django.conf.urls import url
from django.views.generic import RedirectView
from search import views
from django.views.decorators.cache import cache_page
urlpatterns = [
url(r'^$', RedirectView.as_view(url='release-groups/')),
url(r'^release-groups/$', cache_page(60 * 15)(views.releaseGroupView.as_view())... | [
"manuelj.fuentesg@gmail.com"
] | manuelj.fuentesg@gmail.com |
8798346e2d05dabe4d21c475211f6096d376a636 | a5b3c21b7dc0ebfc7096e877228dbd4740713bab | /Python - learning/Data Structures/copy.py | 7c31451ef93b11fb7127d05eadf7cfb705c7f771 | [] | no_license | Cameron-Calpin/Code | 7dd1ee7d8b83e3d325510ef14a92d36f254bc078 | fc32e0ed2464efb64b0ebad7f76270a369e2a829 | refs/heads/master | 2023-07-07T06:37:54.397181 | 2023-07-01T23:06:58 | 2023-07-01T23:06:58 | 91,615,709 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 228 | py | mytuple = ('one', 'two', 'three')
listcopy = list(mytuple)
listcopy.sort()
for item in listcopy:
print item
myDict = {'one': 1, 'two': 2, 'three': 3}
keys = myDict.keys()
keys.sort()
for key in keys:
print key, myDict[key] | [
"cameron.calpin.14@cnu.edu"
] | cameron.calpin.14@cnu.edu |
fc9ba580ad9a11c6f67bcea854c79af053e832b4 | 2a5145f811c0679b35af367d25fce5914c2e0e40 | /Algorithm/169_MajorityElement.py | 641252ef81bfbf55f340168da7a95c33bb00a40e | [] | no_license | lingtianwan/Leetcode | 8f93fc3fc85db289ca8f618143af2a43711425ba | bf2edab87dd96afab1ff411df35d3163c1dfdc55 | refs/heads/master | 2021-01-12T19:16:31.918703 | 2017-02-09T01:50:53 | 2017-02-09T01:50:53 | 81,396,498 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 485 | py | # Given an array of size n, find the majority element. The majority element is the element that appears more than ⌊ n/2 ⌋ times.
#
# You may assume that the array is non-empty and the majority element always exist in the array.
class Solution(object):
def majorityElement(self, nums):
"""
:type num... | [
"lingtian.wan@gmail.com"
] | lingtian.wan@gmail.com |
ce7fe6a703bd4648ba39e7da18929b3abdecddae | 1cf84b1c4e0bfc3145b758879e5c4648fab8024d | /7.5. Filter out 53 copies of the products to be tested in the table.py | c7504bd073b3b26981a001341db332d037c1d306 | [
"Apache-2.0"
] | permissive | zy-yao/Clothes-Matching-on-Taobao | 8d8e9c73c8f429748ec89cffec9e1ea8d20e1810 | 1910c25bd764495021c3a4e2f6a11c5cdb56f15f | refs/heads/master | 2023-01-30T15:19:46.948461 | 2020-12-03T15:07:46 | 2020-12-03T15:07:46 | 276,325,917 | 0 | 1 | null | 2020-07-16T09:35:53 | 2020-07-01T08:49:20 | Python | UTF-8 | Python | false | false | 366 | py |
import pandas as pd
for i in range(0,53):
d = pd.read_csv('/Users/YAO/.spyder-py3/ForPython/new method/rule1_weekresult3/result'+str(i+1)+'_3.csv')
testItems = pd.read_csv('testItems.csv')
predict = pd.merge(testItems,d)
predict.to_csv('/Users/YAO/.spyder-py3/ForPython/new method/rule1_weekresult_last/... | [
"33860709+zy-yao@users.noreply.github.com"
] | 33860709+zy-yao@users.noreply.github.com |
01bed1080979fef67de4c80a741868bc5950a4d9 | 8ba01e6790ce6d0a3e25b3e05281dd1aa64d2f2f | /classification/lightgbm.py | 77fc6f9f85991a596e3440ead795b2810d5ce5af | [] | no_license | weineng-zhou/MachineLearning | 4a358026627a693f3297d2b770e699d351bfc15c | 30e327154619096fa9dc6aba3142f7d8cc50c4d6 | refs/heads/master | 2022-06-14T11:33:13.014329 | 2020-05-04T07:58:07 | 2020-05-04T07:58:07 | 261,112,109 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,130 | py | # -*- coding: utf-8 -*-
import datetime
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False
from sklearn.model_selection import train_test_split
from lightgbm import LGBMClassifier
from sklearn.model_selection im... | [
"zwn911208@163.com"
] | zwn911208@163.com |
a6ddd8d4f9f38b972820df093ba01dd54e608881 | d701f0f5027c77fa41b0a9209b8989b9d0316aa8 | /brain_games/logic/prime.py | fc01cab602a8fff9789a05a778f877bafe972ecd | [] | no_license | DenisTrukhin/python-project-lvl1 | 8d4c548bbb2bffed117340b8b480fade01cd044c | a4c6f8286b3e0dc8f0fcbbd848f54a8293cc4a85 | refs/heads/main | 2023-01-31T20:39:58.337152 | 2020-12-16T14:21:12 | 2020-12-16T14:24:31 | 311,041,345 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 447 | py | import random
def is_prime(n):
if n % 2 == 0:
return n == 2
d = 3
while d ** 2 <= n and n % d != 0:
d += 2
return d ** 2 > n
def prime():
positive_answer = 'yes'
negative_answer = 'no'
number = random.randint(1, 1000)
expression = f'{number}'
correct_answer = pos... | [
"denis.trukhin@balance-pl.ru"
] | denis.trukhin@balance-pl.ru |
d11816bf434a2bc2cc962cfc510a0957f1ccd0a4 | 04f210ca1ec260a9fd1fa24a55876098a63203ba | /6GetParameters2.py | 8cb6b0427ba39fb2c47d6dc8418baca39921a09a | [] | no_license | FocusYangQ/PythonSpider | bc757bf68fbea2c7d8ce8ff3a7500fbbd1a93c9f | e5d349efe4dd894bec688662a773e4756f466cd0 | refs/heads/master | 2023-08-24T22:27:46.400172 | 2021-10-15T13:08:09 | 2021-10-15T13:08:09 | 415,536,127 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 248 | py | import requests
if __name__ == '__main__' :
data = {
"name" : "hezhi" ,
"age" : 20
}
response = requests.get ( "http://httpbin.org/get" , params = data )
print ( response.status_code )
print ( response.text ) | [
"35205142+FocusYangQ@users.noreply.github.com"
] | 35205142+FocusYangQ@users.noreply.github.com |
d935698ed1490a86579c7639a9248a6761ca3fde | 0125bbe0ce453e94604ff5834fbc280fe44f3220 | /transquest/algo/sentence_level/siamesetransquest/readers/__init__.py | ae4c6526b6069a91c156cfd8a0f55c7f847bb325 | [
"Apache-2.0"
] | permissive | mfomicheva/TransQuest | fc51bcb90e386534845841fd75a3860054e76dd7 | 4225f7195a703414ed13ce597854cc1a59703229 | refs/heads/master | 2023-06-12T14:52:49.066705 | 2021-05-07T10:35:21 | 2021-05-07T10:35:21 | 263,876,762 | 6 | 1 | Apache-2.0 | 2020-05-14T09:52:07 | 2020-05-14T09:52:06 | null | UTF-8 | Python | false | false | 231 | py | # from .input_example import InputExample
# from .label_sentence_reader import LabelSentenceReader
# from .nli_data_reader import NLIDataReader
# from .qe_data_reader import QEDataReader
# from .triplet_reader import TripletReader
| [
"rhtdranasinghe@gmail.com"
] | rhtdranasinghe@gmail.com |
a51f49b8ad549be6578aed13784e031c214b6f48 | 03f23bb43a8161d4479486db4f0cf4df5ead360c | /search/services.py | 74a44bf460b9d45c4c2920333046ff63c6a5bf2a | [] | no_license | nalimhahs/shopnani-backend | 6f070440b64d389090da05307f18bec82e32b537 | d6ebf193fa1f57b18a5aa7a94f166e18a0fa162f | refs/heads/master | 2022-12-11T16:17:24.029075 | 2019-08-24T07:52:01 | 2019-08-24T07:52:01 | 195,423,400 | 0 | 0 | null | 2022-04-22T22:13:08 | 2019-07-05T14:31:09 | Python | UTF-8 | Python | false | false | 719 | py | import os
import requests
# The function accepts a query and passes it to the flipkart api.
# The results are then converted to json and then returned.
# The affiliate ID and Token are stored as environment variables to prevent unintentional exposure.
def getResultsService(query):
affiliateId = os.environ.get('DJ... | [
"milanshah1@gmail.com"
] | milanshah1@gmail.com |
ce69a986c534d70a5aa60a0025175768ba380815 | 52b5773617a1b972a905de4d692540d26ff74926 | /.history/clouds_20200703155257.py | 611b20c61a4e392632a8177a3ecf3c4d6ae86dde | [] | no_license | MaryanneNjeri/pythonModules | 56f54bf098ae58ea069bf33f11ae94fa8eedcabc | f4e56b1e4dda2349267af634a46f6b9df6686020 | refs/heads/master | 2022-12-16T02:59:19.896129 | 2020-09-11T12:05:22 | 2020-09-11T12:05:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 362 | py | def jumpingClouds(c):
i = 0
jumps = 0
while i < len(c)-2:
if c[i+2] == 0:
print('c------>',i,c[i])
print('here1')
jumps +=1
elif c[i+1] == 0:
print('here')
jumps +=1
i +=1
print(jumps) ... | [
"mary.jereh@gmail.com"
] | mary.jereh@gmail.com |
eafd957ce79a41486e0e5515ec49bc2b2ecf71e1 | 7ef991ef5d595ef987eb9ef74d5ed0469bdbb39e | /examples/ensemble/plot_monotonic_constraints.py | 8b3f69f1d542e9a891b51bb11f879321501d143a | [
"BSD-3-Clause"
] | permissive | ogrisel/scikit-learn-github-actions | 1762eb7961dabfd60c574c54b6b4ed1044ca986f | d88deccde974c70d8d89b9c880a809d53c2e32eb | refs/heads/master | 2023-03-05T10:32:07.363536 | 2020-12-01T12:20:55 | 2020-12-01T12:20:55 | 317,551,992 | 3 | 3 | BSD-3-Clause | 2021-02-08T19:28:13 | 2020-12-01T13:36:07 | Python | UTF-8 | Python | false | false | 2,241 | py | """
=====================
Monotonic Constraints
=====================
This example illustrates the effect of monotonic constraints on a gradient
boosting estimator.
We build an artificial dataset where the target value is in general
positively correlated with the first feature (with some random and
non-random variati... | [
"noreply@github.com"
] | ogrisel.noreply@github.com |
c96341db1a252c067b17e8947a829457d1b9a95c | 81632cda811a3ca43497457dc25c382e53685c01 | /week2_algorithmic_warmup/1_fibonacci_number/fibonacci.py | bbf8f4211aae3a7847f0fae6b8d1522ef93ff585 | [] | no_license | fernandoyto/algorithmic-toolbox | 63511da14801ae3bfabe8da008f6d51a3e2b5572 | 059a897ad7edadd1d9278f0f87c7f5adb42e49e5 | refs/heads/master | 2022-09-22T09:45:55.736963 | 2020-06-01T01:59:58 | 2020-06-01T01:59:58 | 262,603,253 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 202 | py | # Uses python3
def calc_fib(n):
if n <= 1:
return n
arr = [0, 1]
while len(arr) <= n:
arr.append(arr[-1] + arr[-2])
return arr[-1]
n = int(input())
print(calc_fib(n))
| [
"fernando.toshioyto@gmail.com"
] | fernando.toshioyto@gmail.com |
24a0d4647a4f5c7bfff17bb405ead7562f3e47a3 | 48caf249eaa70e9f71f9b94696316af62284d036 | /how bad did you fail your test.py | 32c190787aa77a4d25b72cbad2ebc52fcae8a799 | [] | no_license | wannabruh/Python2020-08-17-minecraft-coding- | e4d6194fd241277c06ff8ee2a3003c3e7ad45e40 | 5252bace5b642758d32f8df4dc2160c36c586d8a | refs/heads/master | 2022-12-03T10:52:54.774328 | 2020-08-17T08:52:36 | 2020-08-17T08:52:36 | 288,129,982 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 483 | py | math = int(input("math"))
eng = int(input("eng"))
if math >=0 and math <=100 and eng >=0 and eng <=100:
if math >=90 and eng >=90:
print("eeeeeeeee")
if math >=80 and eng >=80:
print("teeeeeeeee")
if math >=70 and eng >=70:
print("reeeeeeeee")
if math >=60 and eng >=60:
... | [
"noreply@github.com"
] | wannabruh.noreply@github.com |
e41960c52ed9f1d8f4899297c7aa4df4e18f5413 | acb8e84e3b9c987fcab341f799f41d5a5ec4d587 | /langs/6/og-.py | e881559c8f292114595ae1314a66e46d1d5952e6 | [] | no_license | G4te-Keep3r/HowdyHackers | 46bfad63eafe5ac515da363e1c75fa6f4b9bca32 | fb6d391aaecb60ab5c4650d4ae2ddd599fd85db2 | refs/heads/master | 2020-08-01T12:08:10.782018 | 2016-11-13T20:45:50 | 2016-11-13T20:45:50 | 73,624,224 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 486 | py | import sys
def printFunction(lineRemaining):
if lineRemaining[0] == '"' and lineRemaining[-1] == '"':
if len(lineRemaining) > 2:
#data to print
lineRemaining = lineRemaining[1:-1]
print ' '.join(lineRemaining)
else:
print
def main(fileName):
with open(fileName) as f:
for line in f:
... | [
"juliettaylorswift@gmail.com"
] | juliettaylorswift@gmail.com |
fc1654e347aab42f2c8356ba6bf4279a456c1caf | afd7a171d1d75b1f202745ddd355c05b7013aa77 | /tensorflow_fix/flags.py | ce5bf191a99ad2f55815d47ebd3d683667429856 | [] | no_license | erdnase1902/web-demo-vm | 06f9464253bf3110d542e1ef7989325f59fe7693 | 8d7c16ec4402659e8c6fcbcd1cfbcf1cc292b6de | refs/heads/master | 2023-02-27T02:40:43.300761 | 2021-02-02T00:24:03 | 2021-02-02T00:24:03 | 335,121,700 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,756 | py | # Copyright 2015 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... | [
"josephlu85@engineering.ucla.edu"
] | josephlu85@engineering.ucla.edu |
28ded34c244dfde21440e7b8a4c967128d3118be | b39d72ba5de9d4683041e6b4413f8483c817f821 | /GeneVisualization/ass1/Lib/site-packages/itk/itkImageDuplicatorPython.py | feba22d089e1bed3a6240415b04b2f8985228d76 | [] | no_license | ssalmaan/DataVisualization | d93a0afe1290e4ea46c3be5718d503c71a6f99a7 | eff072f11337f124681ce08742e1a092033680cc | refs/heads/master | 2021-03-13T05:40:23.679095 | 2020-03-11T21:37:45 | 2020-03-11T21:37:45 | 246,642,979 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 149,049 | py | # This file was automatically generated by SWIG (http://www.swig.org).
# Version 3.0.8
#
# Do not make changes to this file unless you know what you are doing--modify
# the SWIG interface file instead.
from sys import version_info
if version_info >= (3, 0, 0):
new_instancemethod = lambda func, inst, cls: _itkI... | [
"44883043+ssalmaan@users.noreply.github.com"
] | 44883043+ssalmaan@users.noreply.github.com |
3d81722193663c5a56f5fcd5a04e2b8555f01b4e | c8471c09e9bf146a5dcec34a381e5ea4fcf7d1c2 | /day1_star2.py | 3440901f68795b5c27e1fb7b59a4eb553e45816b | [] | no_license | cmueh/AoC19 | dea8456bb814b99efc53ce16fab6f488d7e4f896 | 2c219e221bddb33616ea5dcaa4824820fdb65598 | refs/heads/master | 2020-09-23T02:35:22.233081 | 2019-12-07T16:36:43 | 2019-12-07T16:36:43 | 225,380,404 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 253 | py | f = open('input.txt')
def calc(n):
s = 0
while True:
v = n // 3 - 2
if v <= 0:
break
s += v
n = v
return s
arr = [calc(int(x.strip())) for x in f.readlines()]
print(sum(arr))
| [
"noreply@github.com"
] | cmueh.noreply@github.com |
86fcd24ccd2ff7f53cde4be30ecfe987c53c067a | 0c823c3975deff4d12edeb2628b0380e9282fb4b | /venv/bin/pew | 047ec0aafcc0b94fbada6a1f164fb179627743fe | [] | no_license | shocktrop89/helloworld | a8a69927e35fd1198c30f458a426f5c060bf7bbb | eae76cb2e585e403edaa9e3775e820a646c80574 | refs/heads/master | 2022-12-14T19:56:46.990044 | 2018-02-22T15:07:20 | 2018-02-22T15:07:20 | 122,350,951 | 0 | 0 | null | 2022-09-16T17:46:27 | 2018-02-21T15:03:54 | Python | UTF-8 | Python | false | false | 249 | #!/Users/mbp13/Documents/GitHub/helloworld/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from pew.pew import pew
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(pew())
| [
"neo_x2k@hotmail.com"
] | neo_x2k@hotmail.com | |
d8590c08bf2977e339d8f90929d589b87f9ce6f4 | 54c269be3d6882141fc43fba55fccaafb773cc59 | /PythonExercises/desafio32.py | 5998f9be211e9845d51b8633de64c32baa68d73b | [] | no_license | ClaudioJrCode/SQLZOOexercises | 80fb8eb2500419a52cdde0553eddd1561f3aecab | e4b90823b7309f2f1c7f260db4cee2f56084e0f7 | refs/heads/main | 2023-04-10T06:11:23.857484 | 2021-04-22T01:15:04 | 2021-04-22T01:15:04 | 360,316,526 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 253 | py | while 1:
ano = int(input('Digite um ano: '))
flag = True
if ano % 4 != 0:
if ano % 400 != 0:
print('O ano não é bissexto')
if ano % 4 == 0:
if ano % 100 != 0:
print('O ano é bissexto') | [
"noreply@github.com"
] | ClaudioJrCode.noreply@github.com |
12e9c4dcfd45ee85d030c29f1e736d00d2d4d700 | ec3e7aed2d85b1ad83500ff6944ac04c3f213b4c | /statinf/data/ProcessData.py | adfe35ae6f12625eebd8e3decdda3a63cf557817 | [
"MIT"
] | permissive | vishalbelsare/statinf | 2ef58526a93a85709c9177d437979be13d8f6072 | c1dd7e0855809f4676845d33e0b9b040169463cb | refs/heads/master | 2023-09-04T04:46:03.561451 | 2023-08-18T17:33:27 | 2023-08-18T17:33:27 | 230,207,975 | 0 | 0 | MIT | 2023-08-19T03:20:31 | 2019-12-26T06:26:23 | Python | UTF-8 | Python | false | false | 27,132 | py | import numpy as np
import pandas as pd
import re
import warnings
from types import SimpleNamespace
# Ranking data
def rankdata(x):
"""Assigns rank to data.
This is mainly used for analysis like Spearman's correlation.
:param x: Input vector. Format can be :obj:`numpy.array`, :obj:`list` or :obj:`pandas.... | [
"florian.website.mail@gmail.com"
] | florian.website.mail@gmail.com |
158c8568933800e1a190e58735a06e07f2d82e6b | 21d21402c70d8a95d9a4b492078e3fb36e2c9af1 | /shivi_khanuja/django/DojoNinja/apps/dojoninja/apps.py | d4941bb2d14a3111f7bbf5c0ed2410810df42a05 | [] | no_license | hmp36/python_aug_2017 | df897a1b0aa161300386192d48e3fcac9eb495c8 | 8747429b91b09349e5b5469d8932593b06f645e1 | refs/heads/master | 2021-04-29T23:16:50.149226 | 2017-09-11T20:14:37 | 2017-09-11T20:14:37 | 121,552,666 | 1 | 0 | null | 2018-02-14T19:34:54 | 2018-02-14T19:34:54 | null | UTF-8 | Python | false | false | 166 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.apps import AppConfig
class DojoninjaConfig(AppConfig):
name = 'dojoninja'
| [
"shivalikhanuja.net@gmail.com"
] | shivalikhanuja.net@gmail.com |
a29754c4c378ca8e960133b73f1081e25847597c | a91bea54a2d440f4333d48278ff9d870e5777069 | /wxjlibrary/backend/urls.py | 0786cc48f287fa09295e5a9e811d5aca2736bcb7 | [] | no_license | angelawxj/backend | f22908373b019d0feb1085928e13765e15882b3a | d53c88fde56d4bda039d9a9844ead9ecfeb28354 | refs/heads/master | 2021-06-30T16:39:24.527606 | 2019-02-20T09:37:31 | 2019-02-20T09:37:31 | 136,135,401 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 795 | py | """backend URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.0/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... | [
"2472569272@qq.com"
] | 2472569272@qq.com |
cc7e2f7e8d161493bd6b230d519996a73308c768 | 7b6377050fba4d30f00e9fb5d56dfacb22d388e1 | /brownies/bin/lev-vis.py | f897e5f5de2f2be76fa12584493985dffe688620 | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | LLNL/fudge | 0a4fe8e3a68b66d58e42d1f4d209ea3f713c6370 | 6ba80855ae47cb32c37f635d065b228fadb03412 | refs/heads/master | 2023-08-16T21:05:31.111098 | 2023-08-01T22:09:32 | 2023-08-01T22:09:32 | 203,678,373 | 21 | 4 | NOASSERTION | 2023-06-28T20:51:02 | 2019-08-21T23:22:20 | Python | UTF-8 | Python | false | false | 7,520 | py | #! /usr/bin/env python
import sys
import os
import argparse
import brownies.BNL.RIPL.level_density as LD
import brownies.BNL.RIPL.level_scheme as LS
from PoPs.chemicalElements .misc import symbolFromZ as elementSymbolFromZ
import numpy as np
import matplotlib.pyplot as plt
HOME=os.environ['HOME']
DESKTOP=HOME+'/Deskto... | [
"mattoon1@llnl.gov"
] | mattoon1@llnl.gov |
699b405df3c5154f4dc032a56062766d9dea7aac | 501fa9383672b83f0d1f5516c9c4e9971ac37399 | /Planar Model/Equilibrium/Analyze.py | e5021c8d67d459f2b78c21a2d7f59b2412ad9ab0 | [] | no_license | vsa1920/Monte-Carlo-methods-in-Ising-Model | a42b2a8e8494a5efe15fed9b8c5e56865a97ee7c | 426647a63ea121f40799c6e9022c813c925ee580 | refs/heads/main | 2023-04-10T06:37:35.907962 | 2023-03-29T03:42:25 | 2023-03-29T03:42:25 | 339,046,824 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,038 | py | from matplotlib import pyplot
from Metropolis import nearest_neighbours, acceptance_ratio
import random
from math import e, cos, sin, pi
import numpy as np
# A function to read states from text files
# Constants
J = 1
def read_func(file_name):
file = open(file_name, 'r')
state = []
for i in... | [
"noreply@github.com"
] | vsa1920.noreply@github.com |
ead54b3adea54e5e8b36d168ada47fa6b99b2957 | 513b9bd0fca9e219a8d33cd9352f45f401a6b533 | /python/test/test_actions.py | e0d04fe5a6a610a1fa991f18417870ef0b07e9ce | [] | no_license | EdginAround/edgin_around_api | a50b3cd03b992b68f2f42b3616c86534a9ad1b8f | 0c97610385c409b1c4ceb3472d977bbb8d2dd45e | refs/heads/main | 2023-06-01T00:13:23.219528 | 2021-06-27T19:21:20 | 2021-06-30T14:14:26 | 354,341,869 | 0 | 0 | null | 2021-06-30T14:14:27 | 2021-04-03T16:36:39 | Python | UTF-8 | Python | false | false | 1,949 | py | import unittest
from typing import Any, Dict
from . import common
from edgin_around_api import actions
class ActionsTest(common.SerdeTest):
def test_serde_actor_deletion(self) -> None:
"""Test serialisation and deserialisation of DeleteActorsAction."""
original: Dict[str, Any] = {
... | [
"wojciech.kluczka@gmail.com"
] | wojciech.kluczka@gmail.com |
b6dc0cc56bc60c50f7a85c67bbc5ce45005f3b89 | 79f2838de509de74350a10abf256ca6c394bce65 | /listasevariaveis/exemplomultiplaslistasbusca.py | c75b27df0df7fdc0781614ba70f82989ee962f46 | [] | no_license | psanrosa13/pythonEstudo | b520825025219adb1752a2cc71cdfc2693026f42 | 6a130390750d7783be969de4a8c75122f71f9d32 | refs/heads/master | 2023-01-18T21:11:00.543839 | 2020-11-21T00:03:59 | 2020-11-21T00:03:59 | 313,464,099 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 716 | py | equipamentos = []
valores = []
seriais = []
departamentos = []
resposta ='S'
while resposta=='S':
equipamentos.append(input('Equipamento: '))
valores.append(float(input('Valor: ')))
seriais.append(int(input('Número Serial: ')))
departamentos.append(input('Departamento: '))
resposta=input('Digite \'... | [
"psanrosa13@gmail.com"
] | psanrosa13@gmail.com |
09681c3b1e3c1c5978a17a6fe55b3707c490dd3e | 0f58fc4ef95b88bdc12feb3fae6f193d3427d322 | /algorithm_loader.py | 52aacde3de169fb033712d462f6b0eb2a6aa0f24 | [] | no_license | makmanalp/samplerun | 0f0869a0d7f8ccf698cc2f55b3aa824d51e0a971 | 97a68223e76f661ccff998e957f66f9cafdadde6 | refs/heads/master | 2021-03-12T23:56:50.266647 | 2015-01-06T22:41:46 | 2015-01-06T22:41:46 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,125 | py | import pytest
import os
import imp
import inspect
from base_algorithm import Algorithm
def load_plugins(plugin_folder):
plugins = {}
cwd = os.path.abspath(os.path.curdir)
plugin_folder = os.path.join(cwd, plugin_folder)
folders = [x for x in os.listdir(plugin_folder)
if os.path.isdir(... | [
"mali@akmanalp.com"
] | mali@akmanalp.com |
633fdf3de990a8d52a022b237ae5b520e5aea688 | ee968d0cb10c6fc57cfc53e45ac9d758e82f7749 | /TSA/ABSAPyTorch/temp.py | e228ef4d514b86865b2cadb926f6fab0799c5a9f | [
"MIT"
] | permissive | jakeyap/Stance-Detection | 12f86bdfb2078ae32eec9d28201d04e3e421c806 | 2cb98bf84f7303bc7f436b38084a2b5c32a0ea8e | refs/heads/master | 2022-11-19T09:47:19.441536 | 2020-06-02T17:34:05 | 2020-06-02T17:34:05 | 281,282,637 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,229 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Feb 19 14:00:39 2020
@author: lweiren
"""
from twitter import *
import os
import tweepy
import datetime
import sys
import time
CONSUMER_KEY="A2FjDYLSKc8tfvGLcexZywK35"
CONSUMER_SECRET='kDR9HRGR54otDoAqp7XWFFbRIadUmG9g9li7aaY12qOnKQt2oK'
MY_TWITTER_CR... | [
"lweiren@instance-1.asia-southeast1-b.c.model-augury-245215.internal"
] | lweiren@instance-1.asia-southeast1-b.c.model-augury-245215.internal |
bd0caf3452ccfe76d5df1c8d98d8f0cb9a1b329a | 384d0be5ac54b306b945cf38c10d9b0a44c975ea | /stack/keystone/keystone/logic/types/biller.py | 00a135b11cbea421c4b431b0ff3dd0914cf9dfc5 | [
"Apache-2.0"
] | permissive | ashokcse/openstack-bill | 05ae313637b3cfecba946d2a9b32e8c7609fc721 | 1a3d7575d4b341f64fa1764ed47e47a7504a9bcc | refs/heads/master | 2021-01-18T14:05:24.696165 | 2012-09-12T11:29:20 | 2012-09-12T11:29:20 | 5,424,267 | 5 | 2 | null | null | null | null | UTF-8 | Python | false | false | 19,643 | py | # Copyright (c) 2010-2011 OpenStack, LLC.
#
# 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 ... | [
"ashokcse@live.com"
] | ashokcse@live.com |
56c82dd9a2f16f67ef47c7062fa1ce5db1ae45cf | 029948b3fd0e41d80d66c84d808abff4fcb24ac8 | /test/test_path_response_result_response_egress_physical_interface.py | b1100af354156581698006d61033889305c3445f | [] | no_license | yijxiang/dnac-api-client | 842d1da9e156820942656b8f34342d52c96d3c37 | 256d016e2df8fc1b3fdad6e28f441c6005b43b07 | refs/heads/master | 2021-09-25T21:10:09.502447 | 2018-10-25T14:39:57 | 2018-10-25T14:39:57 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,169 | py | # coding: utf-8
"""
Cisco DNA Center Platform v. 1.2.x (EFT)
REST API (EFT) # noqa: E501
OpenAPI spec version: 1.0.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import dnac_api_client
from dnac_api_client.models... | [
"cunningr@cisco.com"
] | cunningr@cisco.com |
2f0309d995be662395d1be6753bdcb2d17c2133e | 7c1a0ee337c4407768c343518ebee7f8a1b540ef | /env/lib/python3.6/sre_parse.py | 19de139eab2af7ff41ea9fcb49c30ccd7c952d3b | [] | no_license | spmarisa/flask_demo | 8dcce02b43664da0b6afe97975e70a675425e22f | e5be66cfe1ebddc130875fb9fddc294d81085a0e | refs/heads/master | 2020-03-23T19:58:39.017626 | 2018-07-23T12:51:14 | 2018-07-23T12:51:14 | 142,013,715 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 53 | py | /home/phaneendra/anaconda3/lib/python3.6/sre_parse.py | [
"phaneendra.marisa@gmail.com"
] | phaneendra.marisa@gmail.com |
fb37d57c90646fad12d0114c9dd4dd83f5fc02e5 | 0edfa72a67e2b0f0437a9868a9b08ddf22f9fa65 | /venv/Scripts/pip-script.py | bb75b067804392863229bfd405d6645c02f475c1 | [] | no_license | neesmusuns/cracker | 2bc54c61ba19d8547774cd2864aec3ecd22d1469 | 376faf6d5b22b49a68ffdbc5b4b914128b1d5bf0 | refs/heads/master | 2021-02-25T21:36:19.940427 | 2020-03-12T12:34:01 | 2020-03-12T12:34:01 | 245,150,865 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 453 | py | #!"C:\Users\Irma Leinerte\Documents\2020spring\systems_security\verkefni1\cracker\venv\Scripts\python.exe"
# EASY-INSTALL-ENTRY-SCRIPT: 'pip==19.0.3','console_scripts','pip'
__requires__ = 'pip==19.0.3'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(... | [
"31275615+neesmusuns@users.noreply.github.com"
] | 31275615+neesmusuns@users.noreply.github.com |
397bd82f3974cc589904835d4c50f7e3f60e39a9 | 8cb6b6b233be0f53d86230e7be7fe2c12e04d3ad | /Titanic/code.py | f8fdce6d968749c2356532056f03dd6f3281448e | [] | no_license | benignavesh/kaggle | 09a6b9f0773962f22efdc042d776110712d4cf41 | c5a3f4722d2baf63dbe678e5817a651fb30da967 | refs/heads/master | 2020-03-20T02:26:37.284051 | 2018-06-12T18:39:45 | 2018-06-12T18:39:45 | 137,113,278 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,432 | py | import pandas as pd
dataset_train = pd.read_csv('train.csv')
dataset_test = pd.read_csv('test.csv')
labels_train = dataset_train.iloc[:,[1]].values
features_train = dataset_train.iloc[:,[2,4,5,6,7]].values
features_test = dataset_test.iloc[:,[1,3,4,5,6]].values
#Missing data analysis for age
from skl... | [
"noreply@github.com"
] | benignavesh.noreply@github.com |
f2e46158afebdf251132475b4a4284e808cdffbb | 7205218c520b405f01d5fa1ae5728c9f3071f04d | /Exercises - Module III/EX108 - Formatando moeda().py | 49c953dc8e09077c0b5a0a9b8b4069bbd79bf6f3 | [] | no_license | talesritz/Learning-Python---Guanabara-classes | 164b22ca27158b41e851152257750ac5fcd0cecc | 273a06037e3b283a4e78a3f105c0828ae70bfab0 | refs/heads/master | 2020-05-19T23:43:12.007950 | 2019-05-06T21:44:44 | 2019-05-06T21:44:44 | 185,273,748 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 634 | py | # Adapte o código do desafio 107, criando uma função adicional chamada moeda() que consiga mostrar os valores como um valor monetário formatado.
from uteis import formata, moedab, validacao
#Versão necessária para o ex108
formata.cabecalho('EX108 - Formatando Moeda()')
tmp = validacao.leiaInt('Digite o preç... | [
"noreply@github.com"
] | talesritz.noreply@github.com |
62eaf9858c418fef633ac4d4dff91466518cb03b | c47e4c82a68563dbb5828dae8e9b1a3598297b7c | /NajaParser.py | 8f71d0beb5236a2d8f756c33fae40069a7b2d5b8 | [] | no_license | MarceloCFSF/Naja | b0f28afc1a1feae7339d916a2b11189e6be0290a | edc38d5bd02afe840ea2ad006491e0d950191818 | refs/heads/master | 2023-07-11T15:06:06.850798 | 2021-08-14T05:17:09 | 2021-08-14T05:17:09 | 395,882,114 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 38,637 | py | # Generated from Naja.g4 by ANTLR 4.9
# encoding: utf-8
from antlr4 import *
from io import StringIO
import sys
if sys.version_info[1] > 5:
from typing import TextIO
else:
from typing.io import TextIO
def serializedATN():
with StringIO() as buf:
buf.write("\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u7786\u5... | [
"marcelo.cfsf@gmail.com"
] | marcelo.cfsf@gmail.com |
bcd00e175fe8619264aa97bc0a61bbf04c8d0fc0 | 61a887eaf972bda8839728292147bf923103e8a1 | /representations/explicit.py | 4cf27c5cfa3ff12a6320ead1c90aa30c691999e8 | [] | no_license | soltustik/RHG | 45f05fb215f0e2fbcd1b51b8a44b78ae09454b5b | c94de165285cf06f3d101c316173175328874848 | refs/heads/master | 2023-01-01T02:17:36.041309 | 2020-10-07T10:00:24 | 2020-10-07T10:00:24 | 300,230,313 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,063 | py | import heapq
from scipy.sparse import dok_matrix, csr_matrix
from scipy.stats import logistic
import numpy as np
from representations.matrix_serializer import load_vocabulary, load_matrix
class Explicit:
"""
Base class for explicit representations. Assumes that the serialized input is e^PMI.
"""
... | [
"noreply@github.com"
] | soltustik.noreply@github.com |
2cd97cb8b0b9c6e273657a730b6c9cceac772bfc | 694760b87cbf4b72eb2cfc554fe3818f666c81a0 | /source code/hello-world.py | 327a22d8d96d42ef4d2e35959436a7d662703bee | [] | no_license | vipermax/dummy-project | a5aac2860849abf46efdbcddd9a35c361aeb9481 | dd0047fac7ad53e428b1ff7b208d319d79efa853 | refs/heads/master | 2021-01-10T01:30:36.137587 | 2016-03-01T08:58:58 | 2016-03-01T08:58:58 | 52,859,628 | 0 | 0 | null | 2016-03-01T08:57:32 | 2016-03-01T08:09:18 | Python | UTF-8 | Python | false | false | 280 | py | print "Hello World!"
print "Hello Again and again"
print "I like typing this."
print "This is a lot of fun."
print 'Yay! Printing.'
print "I'd much rather you 'not'."
print 'I "said" do not touch this.'
Print "Hey, here is something new!"
print "some udpdate from master branch"
| [
"vipermax@gmail.com"
] | vipermax@gmail.com |
767c75ec5475f49c3ec0b2ee8035aef2f54e30b0 | 6b1d152e7b236b97819b058e303829e3db2b19be | /prac_02/word_generator.py | 7aafa8f1c5b30c4a6eb106b64d6e85386cc92c87 | [] | no_license | Linda-Kirk/cp1404practicals | 4bbc03fc3fdf497b24165129a3d8aaa37c7fb1ef | d40316a8349a01478124f16be35bdfff53623698 | refs/heads/master | 2020-07-05T12:58:21.816450 | 2019-10-29T00:17:46 | 2019-10-29T00:17:46 | 202,653,504 | 0 | 0 | null | 2019-09-23T08:25:42 | 2019-08-16T03:40:48 | Python | UTF-8 | Python | false | false | 524 | py | """
CP1404/CP5632 - Practical
Random word generator - based on format of words
Another way to get just consonants would be to use string.ascii_lowercase
(all letters) and remove the vowels.
"""
import random
VOWELS = "aeiou"
CONSONANTS = "bcdfghjklmnpqrstvwxyz"
word_format = input("Enter the word format e.g. 'ccvcvv... | [
"linda.kirk@my.jcu.edu.au"
] | linda.kirk@my.jcu.edu.au |
d3238509ecaea8d3e0a51a8943890b4578e5a8da | e3d447a81c5462d2d14201f2bc6b82cdcbbca51a | /chapter10/c10_6_addition.py | af50d5e3378247cb7a726c51df05b727370cecc4 | [] | no_license | barcern/python-crash-course | f6026f13f75ecddc7806711d65bc53cb88e24496 | 8b55775c9f0ed49444becb35b8d529620537fa54 | refs/heads/master | 2023-04-19T17:28:44.342022 | 2021-02-07T23:51:06 | 2021-02-07T23:51:06 | 257,201,280 | 2 | 3 | null | 2021-05-12T17:35:56 | 2020-04-20T07:14:28 | Python | UTF-8 | Python | false | false | 2,214 | py | # -*- coding: utf-8 -*-
"""
Created on Sun Jul 26 12:27:25 2020
@author: barbora
One common problem when prompting for numerical input occurs when people
provide text instead of numbers. When you try to convert the input to an int,
you'll get a ValueError. Write a program that prompts for two numbers.
Add them toge... | [
"bcernakova01@gmail.com"
] | bcernakova01@gmail.com |
562d159153258105237dee275a61136e7c194853 | e6dab5aa1754ff13755a1f74a28a201681ab7e1c | /.parts/lib/django-1.3/django/contrib/localflavor/generic/forms.py | b8a111a6b5f57fa81698f292b86258925d561b4a | [] | no_license | ronkagan/Euler_1 | 67679203a9510147320f7c6513eefd391630703e | 022633cc298475c4f3fd0c6e2bde4f4728713995 | refs/heads/master | 2021-01-06T20:45:52.901025 | 2014-09-06T22:34:16 | 2014-09-06T22:34:16 | 23,744,842 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 109 | py | /home/action/.parts/packages/googleappengine/1.9.4/lib/django-1.3/django/contrib/localflavor/generic/forms.py | [
"ron.y.kagan@gmail.com"
] | ron.y.kagan@gmail.com |
2e54441258e9589bbbcf8cfd910724f80e61d746 | 966d68245763f12d950efbc39928cbb14655b9d1 | /backend/textManipulation/summarization.py | 05f35fdc3ae8da0ba8c1c697fe038840a8d6ad96 | [] | no_license | wcooper90/ivyhacks2020 | ebd1352465eb364d802f7673af06ffa407758f1f | 684d964a5a352cd78faf11df91c3b1bc08355ee8 | refs/heads/main | 2022-12-25T00:14:34.213824 | 2020-10-04T17:57:53 | 2020-10-04T17:57:53 | 301,185,526 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,453 | py | from __future__ import absolute_import
from __future__ import division, print_function, unicode_literals
from sumy.parsers.html import HtmlParser
from sumy.parsers.plaintext import PlaintextParser
from sumy.nlp.tokenizers import Tokenizer
from sumy.summarizers.lsa import LsaSummarizer as Summarizer
from sumy.nl... | [
"wcooperhockey@gmail.com"
] | wcooperhockey@gmail.com |
acea4cdf9cddd739a1daddc42cb820e70fe0e59c | 3a18085d011b2dfc2c15ca6eb10838c604ef8a2c | /transform_web_traffic.py | 60b01996ed53bf8eaf3b2b944629e994c5dd01a9 | [] | no_license | ericness/when_i_work_code_challenge | 049f986df9cc9c1de29f502f006e138e119bac70 | 7e67505ebc451138327effd51ec967f200ee9d0a | refs/heads/master | 2021-07-24T06:42:34.133140 | 2017-11-02T20:25:05 | 2017-11-02T20:25:05 | 109,053,886 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,285 | py | import argparse
import io
import re
import pandas as pd
import boto3
import botocore
# parse command args to set run configuration
parser = argparse.ArgumentParser(description=('Transform raw web traffic data '
'into a pivoted table of aggregated time per '
... | [
"ericness@UdemySparkCourse.fpcodpc5vfjurkxi5gs5htsn0d.gx.internal.cloudapp.net"
] | ericness@UdemySparkCourse.fpcodpc5vfjurkxi5gs5htsn0d.gx.internal.cloudapp.net |
aa98278bf982510809e97f209972b9d3ffecdc03 | 4b191334ac835f99236d51ab6a7857f968250df2 | /utils/add_ipv6.py | bb66dc7c153fcc6c478e5b53b9b056124f043392 | [] | no_license | soutzis/Janus-IPv6 | bfdd1e89260a9d5faf9796e9da836d96fbfc607b | a1079a1f3283bc193597b40f90e998a149ae2781 | refs/heads/master | 2021-07-12T17:55:05.936232 | 2020-06-24T14:30:53 | 2020-06-24T14:30:53 | 168,965,023 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,493 | py | #!/usr/bin/python3.6
from subprocess import call
import argparse
'''
For simplicity, this file is also copied in "usr/local/bin", so that it can be run from any directory
by simply calling: add_ipv6 <hostname> <ipv6>.
The file in "usr/local/bin" is renamed to 'add_ipv6' (no ".py" file extension)
'''
add_ipv6_cmd = ... | [
"noreply@github.com"
] | soutzis.noreply@github.com |
83518dea03fcf81599d027eab229b0560c3ccfbe | 7de280a2cb54bdec1eaa3b683097974b7a2c0964 | /main.py | 6bb5ae1f4496ffa7314e3a9a4a160bc53285b558 | [] | no_license | kpiaskowski/DL_hand_gestures | f1d2e748a9587d07e9593380f6a9ce01171d073c | 3d65b18821208195b89b5ce1f63e002da03f315e | refs/heads/master | 2021-09-10T06:48:20.220804 | 2018-03-21T20:44:22 | 2018-03-21T20:44:22 | 125,994,782 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,811 | py | import os
import tensorflow as tf
from architectures.decoder import decoder_model
from architectures.latent_space import latent_space
from architectures.pretrained_encoder import encoder_model
from vae_dataprovider import DataProvider
epochs = 50
batch_size = 20
latent_units = 200
l_rate = 0.00001
label_w = 64
label... | [
"kar.piaskowski@gmail.com"
] | kar.piaskowski@gmail.com |
e47f21b19c216ae807692a673b8184880a5aa25d | 51761bbf3e42543687664291dd3a7d3ae9a90fd2 | /utils.py | 68c6c6eba79327b7c718fd4655159cd4dda8850b | [] | no_license | MarcelaBarella/luizalabs_challenge | 03612291e8f89875c1572eb301235bc5b6f7948d | 12b977b6836222bcd7a8d8464a7b840425d2afe2 | refs/heads/master | 2020-03-20T11:43:29.243943 | 2019-11-22T14:59:50 | 2019-11-22T14:59:50 | 137,410,494 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 166 | py | from datetime import datetime
def str_to_datetime(date):
if type(date) != str:
return date
return datetime.strptime(date, '%d/%m/%Y %H:%M')
| [
"marcela.barella@hotmail.com"
] | marcela.barella@hotmail.com |
59429ee5ee8ca7e0edd5fe634b9e3e46f97d9c73 | 9bf9ba2ff40e63e87efc67d0d90416b3e839ca3f | /TwoPlayerTicTacToe2.py | 1976094f651cf9f5f5bca70443c4c2911928cc3e | [] | no_license | Muhammad-Ahmed-Mansoor/Python-tic-tac-toe | 243353dda52cad2256633cd979fe989c8fdc5f13 | 79d3619aea057bafab015498de3ae85418cf7889 | refs/heads/master | 2022-11-13T21:57:52.504479 | 2020-07-07T15:48:47 | 2020-07-07T15:48:47 | 277,858,848 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,952 | py | import os;
def boardPrint(): #displays the board
global board
print('\n') #two blank lines for clarity's sake
for i in [7,8,9,4,5,6,1,2,3]:#to match keyboard numpad
if i % 3 !=0:#to avoid '|' at the end of a row
print(board[i],'|',end=' ')
else: #to insert new ... | [
"noreply@github.com"
] | Muhammad-Ahmed-Mansoor.noreply@github.com |
bdf4f576aceba31d7d274c2ec7efd61e1f4a337c | 5d48aba44824ff9b9ae7e3616df10aad323c260e | /bfs/127.word_ladder.py | 0e02bffe5c4014c13978aea31a08fd842253ceea | [] | no_license | eric496/leetcode.py | 37eab98a68d6d3417780230f4b5a840f6d4bd2a6 | 32a76cf4ced6ed5f89b5fc98af4695b8a81b9f17 | refs/heads/master | 2021-07-25T11:08:36.776720 | 2021-07-01T15:49:31 | 2021-07-01T15:49:31 | 139,770,188 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,705 | py | """
Given two words (beginWord and endWord), and a dictionary's word list, find the length of shortest transformation sequence from beginWord to endWord, such that:
Only one letter can be changed at a time.
Each transformed word must exist in the word list. Note that beginWord is not a transformed word.
Note:
Return 0... | [
"eric.mlengineer@gmail.com"
] | eric.mlengineer@gmail.com |
fb535040a409105773f5e30f68bd636c8b3931a2 | 307d6435a8da159eede9c233dc14bce29d8af11f | /src/fewer_than_15_siblings.py | 0450dcc4a5c0f7321f333cc894452d9854905de2 | [] | no_license | Ahsan45/SSW-CS555 | 7d82d0f039bfb31cbb775718debfde02615a8ce1 | fc4808884a99d48ff29f122d67c197061102c57c | refs/heads/master | 2021-01-25T06:30:25.675681 | 2017-08-03T00:56:58 | 2017-08-03T00:56:58 | 93,584,540 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 282 | py | #Erik Lim
#SSW 555 Agile Methods for Software Development
'''Module for checking if mthere are fewer than 15 siblings in a family'''
from utils import date_first
def fewer_than_15_siblings(fam):
if 'CHIL' in fam:
return len(fam['CHIL']) < 15
return True | [
"noreply@github.com"
] | Ahsan45.noreply@github.com |
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