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values | gha_event_created_at timestamp[us] | gha_created_at timestamp[us] | gha_language stringclasses 43
values | src_encoding stringclasses 9
values | language stringclasses 1
value | is_vendor bool 2
classes | is_generated bool 2
classes | length_bytes int64 7 5.88M | extension stringclasses 30
values | content stringlengths 7 5.88M | authors listlengths 1 1 | author stringlengths 0 73 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
585841a0ab7fec5d5e554df56e9525b8542746bf | a273c33036b697eaa90b01a22e5f01a31c61fda5 | /exercises/ListChaine.py | 5889a61caab9ac0da539cc442f6346bf568c7634 | [] | no_license | allaok/codestores | 1a55ed8798f6c99476fe24f27fda9a3c3fa03116 | f000bbb2518a8202875cbbcf6cc3a11e57db5792 | refs/heads/master | 2021-01-19T05:44:06.981591 | 2015-07-29T22:56:16 | 2015-07-29T22:56:16 | 39,902,477 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 486 | py | __author__ = 'PWXG8293'
class Element:
def __init__(self):
self.value = None
self.next = None
class Liste:
def __init__(self):
self.first = None
def append(self, value):
element = Element()
element.value = value
element.next = None
if self.first is... | [
"alexis.koalla@orange.com"
] | alexis.koalla@orange.com |
2ce3c8a48982b584a60b2a960d76c25d0d5a33c3 | f8965d7b16e3cf70370b3bd181ef855a2ab89768 | /services/student_service.py | 1008f3f8b34bb77616f5d65ad565592c882b9575 | [
"Apache-2.0"
] | permissive | tuannguyendang/montypython | 59cae6fc6069cf5356670132470cdd52bad00d67 | c0b8ff7a8130e811ba16bfab8d5e013eac37f432 | refs/heads/main | 2023-05-12T02:24:50.693432 | 2021-05-31T02:14:16 | 2021-05-31T02:14:16 | 325,188,168 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,287 | py | from uuid import uuid4
from services import StudentAssignmentService
from services.abstract import Assignment
class StudentService:
def __init__(self):
self.student_graders = {}
self.assignment_class = {}
def register(self, assignment_class):
if not issubclass(assignment_class, Assig... | [
"tuan193@gmail.com"
] | tuan193@gmail.com |
dd2c0563158627b1fd4a1e16385be8b08316abe4 | a7d23974abd0d09681c17ca09038dc6dcd80a2ee | /extra/exporters.py | db0c766c8661667fb961183dbe55d8eadda1027e | [] | no_license | world9781/pydir | ccdf8aa560411957cf476324d49c7c1b4e0073c5 | 0c6c878a69bc5e0cabd12142d5fbb014fbade006 | refs/heads/master | 2023-03-15T20:27:57.409027 | 2018-10-22T19:09:11 | 2018-10-22T19:09:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 964 | py | """
Exporters main duty is to represent a directory structure as XML or Json
TO BE IMPLEMENTED
"""
import os
import json
class BaseExporter(object):
"""A base for Writing Directory structure Exportation formats"""
def __init__(self,path_name):
self.pathname = path_name
def repr_as_dict(self,pa... | [
"kituyiharry@gmail.com"
] | kituyiharry@gmail.com |
ebf043a81c81d7202f4783736d677c16d360a834 | 828695b32588933b87b8a58c9f68a3d1ce23db17 | /jobs/migrations/0001_initial.py | 4b98fd0982e563eb9eed2e0d1246a174992521c9 | [] | no_license | jimpfred/portfolio | 6a82a632319c0628b54a1b68b13238d10be67458 | 3e62cacd52052844d6a8400fc142ba04d5bb0740 | refs/heads/main | 2023-07-12T08:00:09.698957 | 2021-08-17T21:42:33 | 2021-08-17T21:42:33 | 397,274,756 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 556 | py | # Generated by Django 3.2.4 on 2021-08-16 19:47
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Job',
fields=[
('id', models.BigAutoField(a... | [
"jimpfred@yahoo.com"
] | jimpfred@yahoo.com |
b6e06bd57873d7cd596aa92ffcccf76eb8c487d1 | 6544fa558a6c08e4c67de393ed0d0ab554533839 | /DjangoProjects/DjangoProjects7EnquiryPageAndDeleteRoom/Rento/rento/rooms/models.py | 8ec356ad12ac7f769c1d4c1fecbeb6b79ef96526 | [] | no_license | tennnmani/bitproject7-DjangoPython- | 498878276ca0c847d0cf2ca73c1091074720d6e5 | fe13b4822c4cc5686a478dbfee915c108b6f9278 | refs/heads/main | 2023-02-21T16:56:10.842672 | 2021-02-25T04:13:52 | 2021-02-25T04:13:52 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,505 | py | from django.db import models
from django.urls import reverse
# Create your models here.
class City(models.Model):
name = models.CharField(max_length=120) # max_length = required
def __str__(self):
return self.name
class Location(models.Model):
city = models.OneToOneField(City, on_delete=models.CAS... | [
"diwakartop10now@gmail.com"
] | diwakartop10now@gmail.com |
c2ab7ebb09d2e187c4dbf7afea60cfab0e18c38b | 72eb6f8dcfe34996e9c16769fd272d0d4383743f | /OS/MP-3/test.py | 63a530e8860c13151c7675b4a9c1d76e81a69305 | [] | no_license | abhishekkrm/Projects | a11daabc3a051b02f8b899d6058878d08b7613d8 | e7cd5a414ee330ac32671b4eab060949227fe3c7 | refs/heads/master | 2021-03-19T11:16:33.525390 | 2015-02-15T22:15:43 | 2015-02-15T22:15:43 | 30,843,645 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 192 | py | import getopt
try :
#Keep Receiving the message unless self.cr_lf is found
time_val = 0
if time_val <= 0:
raise "timeout"
print ("DD")
except:
print ("HI")
print("TP")
| [
"am2633@cornell.edu"
] | am2633@cornell.edu |
bcd8ad1f09ff8608cd0e1873f337a00d768cbe32 | d7a05a935169e7b4d1c3cc834ff70633908fb525 | /test_model.py | a5e8711ccbf4e9a40a69659d8d35d06c897711b8 | [] | no_license | NinaWie/classify_satellite_images | 72d44b7cdc9c9c038daccc6e354ede04b0b786d8 | 5810580999e557e56fc09d0404f2faccc9690e9a | refs/heads/master | 2020-08-29T02:02:12.105432 | 2019-10-27T17:27:56 | 2019-10-27T17:27:56 | 217,888,474 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,264 | py | import numpy as np
import os
import cv2
import json
import keras
import argparse
import sys
from keras.applications.vgg16 import preprocess_input
from keras.models import model_from_json
def classify_tif_image(k, l):
"""
This loads the TIF file and creates the 256*256 tiles out of it. it then classifies each... | [
"ninawiedemann999@gmail.com"
] | ninawiedemann999@gmail.com |
952177163a4b1437e1561a38db38fa4d951331ba | 9cb8a9f5172f9af17eda5ca8d3c6ff297f0bf120 | /setup.py | 42aed970f5f0d61d42ac271f5d64f44f3aa5bc6c | [] | no_license | tzyk777/twrapper | 91c35e0a572c533071bc02c75952fd69fd2b4a22 | b07c7c307f324a214c876b0d50ec18771b0012e1 | refs/heads/master | 2021-01-17T16:29:16.968949 | 2016-10-29T21:54:06 | 2016-10-29T21:54:06 | 62,597,082 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 232 | py | from distutils.core import setup
setup(name='twrapper',
version='1.3.1',
description='Python twitter wrapper',
author='Zeyang Tao',
author_email='zeyangtao1020@gmail.com',
packages=['twrapper']
) | [
"zeyangtaooptions@gmail.com"
] | zeyangtaooptions@gmail.com |
12991bf43618c242644e572cf61bc414b413c0b4 | 152ebb6f75ac0d79f824ea219ca095be59b23fd0 | /client-side-module/client-side.py | 62ab47a62a652cdf6bcc0f1acf2da0f6c105606b | [] | no_license | Automated-CAD-Scoring-Suite/Remote-Communication-Module-for-3D-Slicer | f296d1aca08cb90d1feb28e6ee8e1d7e45af70e0 | fc6a2166c3208997bb7ed0aa8cd3ee0c7b6dc794 | refs/heads/main | 2023-02-23T21:16:25.327063 | 2021-01-30T04:04:53 | 2021-01-30T04:04:53 | 333,851,000 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,210 | py | # Import Packages
import SimpleITK as sitk
import nibabel as nib
import matplotlib.pylab as plt
import numpy as np
def find_roi_2D(s):
# rotate -90
s_rotated = np.rot90(s, k=3)
# flip slice
s_fliped = np.flip(s, axis=0)
s_rotated_fliped = np.flip(s_rotated, axis=0)
# Get up and down coordiat... | [
"abdullah.m.alrefaey@gmail.com"
] | abdullah.m.alrefaey@gmail.com |
55a78abf836afadcc6c928b21b04a242cf25d686 | 77266fcd99d4b4770a6e22bf669150b1576c4e73 | /Assignment4/venv/Scripts/pip3-script.py | 85df86302a9b7e83b935b7e11b27688aeb77fbbc | [] | no_license | NourAdel/GA | d67ad9b9ed3cd1dcc6cfe00968217f5ed7b61b33 | c407eb51e6c35b9369298bf96b409a9e4aaeb627 | refs/heads/master | 2020-05-18T00:06:59.353710 | 2019-04-29T10:42:14 | 2019-04-29T10:42:14 | 184,050,703 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 405 | py | #!D:\College\Genetic\Assignment4\venv\Scripts\python.exe
# EASY-INSTALL-ENTRY-SCRIPT: 'pip==10.0.1','console_scripts','pip3'
__requires__ = 'pip==10.0.1'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
... | [
"noura7305@gmail.com"
] | noura7305@gmail.com |
5da2bd8dc2830c9ae5ea68845892e133cd447295 | 09e57dd1374713f06b70d7b37a580130d9bbab0d | /benchmark/startCirq2210.py | 06f183066edd0d13b690b7e34154e944725a31e0 | [
"BSD-3-Clause"
] | permissive | UCLA-SEAL/QDiff | ad53650034897abb5941e74539e3aee8edb600ab | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | refs/heads/main | 2023-08-05T04:52:24.961998 | 2021-09-19T02:56:16 | 2021-09-19T02:56:16 | 405,159,939 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,734 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 5/15/20 4:49 PM
# @File : grover.py
# qubit number=4
# total number=28
import cirq
import cirq.google as cg
from typing import Optional
import sys
from math import log2
import numpy as np
#thatsNoCode
from cirq.contrib.svg import SVGCircuit
# Symbols for... | [
"wangjiyuan123@yeah.net"
] | wangjiyuan123@yeah.net |
88bc0b746f0606f86b7e67ef6a1772fa311c5961 | 3b4094f1161502a3d1dbc5712e6405009c3c4b8c | /wsgi/venv/lib/python2.7/site-packages/bokeh/models/map_plots.py | d178a4dc16cabf517ea3bb3b0b28d01d0b822b07 | [] | no_license | chriotte/FinalCourseworkCloudComputingChristopherOttesen | b604337c7e8064ee07e5a45a38e44ae52cb599ae | 08a0271f831e3f14bc836870c8a39b996b6d1d20 | refs/heads/master | 2021-01-18T19:54:02.090555 | 2017-04-01T15:14:03 | 2017-04-01T15:14:03 | 86,919,333 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,730 | py | """ Models for displaying maps in Bokeh plots.
"""
from __future__ import absolute_import
from ..core import validation
from ..core.validation.warnings import MISSING_RENDERERS, NO_DATA_RENDERERS
from ..core.validation.errors import REQUIRED_RANGE, MISSING_GOOGLE_API_KEY
from ..core.has_props import HasProps
from ..c... | [
"christopher.ottesen@yahoo.com"
] | christopher.ottesen@yahoo.com |
b259dc41599ee92dc043a282fa8235f280b9d968 | 6f0a01dde7bf2998cd09e404cc4e2633fbf45dee | /archive/Tensorflow-101/ep-6-broadcasting.py | cee70b546ae0796a84c3a2c40cb581e09e075af2 | [
"MIT"
] | permissive | IncredibleDevHQ/incredible-dev-videos | b8a26b6ac6efad33f0e8dc2903c2b441ab106a69 | 38d5b3d85fd21b8ec8043b90312b500da398d9f9 | refs/heads/main | 2023-06-01T21:05:00.010981 | 2021-06-21T14:57:41 | 2021-06-21T14:57:41 | 341,483,252 | 2 | 2 | MIT | 2021-06-08T11:56:08 | 2021-02-23T08:32:00 | Python | UTF-8 | Python | false | false | 576 | py | # Broadcasting
import tensorflow as tf
x = tf.constant([1, 2, 3])
y = tf.constant(2)
z = tf.constant([2, 2, 2])
tf.print(tf.multiply(x, 2)) #[2 4 6]
tf.print(x * y) #[2 4 6]
tf.print(x * z) #[2 4 6]
x = tf.reshape(x,[3,1])
y = tf.range(1, 5)
print(tf.multiply(x, y))
# [[ 1 2 3 4]
# [ 2 4 6 8]
# [ 3 6 9 12]]
x... | [
"ashwin.mirskar@gmail.com"
] | ashwin.mirskar@gmail.com |
da159e2f2ebf6d02cf5df84e0e70edd3ae7af159 | 08289088124d18029d0ad4388f49ac9c206738e2 | /etl_prefect_core.py | e4ebf3c138cb20b5c050e3ef489bbef516571689 | [] | no_license | AntonioNtV/prefect-pydata-denver-tutorial | e54660172ef484bf9d0610b84b0b9f47d7b2805c | cb6bfb1a236b85a26efdd8b144027351fbe49aa6 | refs/heads/master | 2023-08-10T21:45:38.654271 | 2021-10-07T19:04:31 | 2021-10-07T19:04:31 | 414,699,904 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,919 | py | import requests
import json
import sqlite3
import pathlib
import prefect
from collections import namedtuple
from contextlib import closing
from datetime import timedelta
from prefect import task, Flow
from prefect.tasks.database.sqlite import SQLiteScript
from prefect.schedules import IntervalSchedule
from prefect.eng... | [
"antonio.bertino.neto@ccc.ufcg.edu.br"
] | antonio.bertino.neto@ccc.ufcg.edu.br |
a01b71e2dae640d49f54d02cf08acedbab149c70 | 961931333838aebe8bd17c30c19f3994e32d76ce | /src/leetcode/bfs/279. Perfect Squares.py | 128380fcb8630cd5d95ab5e6415f0e7e36e9fcdd | [] | no_license | MTGTsunami/LeetPython | 5161f9e31dc2ab1855123c2a3a151eb6f4d889bc | f7f3839f631f08a9e5bf8a02398b940f82e43e67 | refs/heads/master | 2023-04-17T16:59:45.621291 | 2021-04-26T07:24:50 | 2021-04-26T07:24:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,624 | py | """
Given a positive integer n, find the least number of perfect square numbers (for example, 1, 4, 9, 16, ...) which sum to n.
Example 1:
Input: n = 12
Output: 3
Explanation: 12 = 4 + 4 + 4.
Example 2:
Input: n = 13
Output: 2
Explanation: 13 = 4 + 9.
"""
class MySolution(object): # A little bit larger than O(n) ... | [
"mtgtsunami1219@gmail.com"
] | mtgtsunami1219@gmail.com |
645fcfbac504304e88b27def48c4789f31873f48 | b56fb8740e74859f95d44854fd4fb4309e039e84 | /src/twenty_four/lib.py | 6dd6277a98e6e208d8c712d22c573fe3b50249fa | [] | no_license | qsweber/twenty-four-api | 03c20e06f725b94c9eab3643fc4dd60c0b464e0b | fb870a24a41b0bacf595d528b13f8f4bde1118af | refs/heads/master | 2022-11-17T02:34:25.585554 | 2020-07-08T03:34:48 | 2020-07-08T03:34:48 | 107,357,270 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,951 | py | import itertools
import typing
def plus(x: int, y: int) -> int:
return x + y
def minus(x: int, y: int) -> int:
return x - y
def dividedby(x: int, y: int) -> float:
if y == 0:
return 0
return x / float(y)
def times(x: int, y: int) -> int:
return x * y
def get_solutions(numbers: typ... | [
"quinn@quinnweber.com"
] | quinn@quinnweber.com |
f9a5490c2beeec964b97a7bd6462e457285bbb33 | 530c8697641092d9291514e919f52f79c4ff00d7 | /2d (1).py | 3c9f85943a5580834acc0df43d0b91cbcc24e107 | [] | no_license | haldanuj/EP219 | 59336fcb72ccf76df81f81b37a7c488c1f182d01 | 115633dac1d8f35a014467703672f73761baac7d | refs/heads/master | 2021-01-12T18:19:58.314348 | 2016-11-04T01:01:08 | 2016-11-04T01:01:08 | 69,415,861 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,933 | py |
import numpy as np
import matplotlib.pyplot as plt
import math
file=open('recoilenergydata_EP219.csv','r')
#defined list to store the values of log(L(s))
y=[]
#here defined log(L) function with s as parameter(sigma)
def likelihood(s):
file=open('recoilenergydata_EP219.csv','r')
i=0
sum1=0 ... | [
"noreply@github.com"
] | noreply@github.com |
4355e732fc8866cde71cd3a8929fb289585ea09a | cea30cf853c1ddbe517292e8bcaf2265ddfeaa00 | /directions/migrations/0001_initial.py | 60c40bd4b3be8941d7d8643f00deab5c72d5f44f | [] | no_license | mehranj73/london-routes | b80242ecf60fa16c19dd0017be421ed790fe7b30 | 0fa50faf6813fc704379d0e0e4f2ad891e4121b0 | refs/heads/main | 2023-01-20T22:43:56.963476 | 2020-11-26T13:23:08 | 2020-11-26T13:23:08 | 325,857,652 | 1 | 0 | null | 2020-12-31T18:56:12 | 2020-12-31T18:56:11 | null | UTF-8 | Python | false | false | 554 | py | # Generated by Django 3.1.2 on 2020-10-25 18:01
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Direction',
fields=[
('id', models.AutoFiel... | [
"anouskaoleary@gmail.com"
] | anouskaoleary@gmail.com |
e91ec979aaed5918fde76b0f5e9594aa88de1975 | 47836a0e9dd477b17a08f0f1fdc0dec284e119eb | /cqt/strats/strategy_long_short_average.py | 5ec4dc0aa62cccce396687634037d60420e694e2 | [] | no_license | Jwang-2007/ML-Crypto-Trading | efe5667c9953bbe6541a183e749a85268b8613d2 | c83bc9ad68efaea65671a2268f6890bfbfccb79e | refs/heads/master | 2021-04-05T20:37:30.585610 | 2020-04-22T19:09:52 | 2020-04-22T19:09:52 | 248,598,960 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,921 | py | from cqt.strats.strategy import Strategy
from cqt.analyze.signal_long_short_crossing import signal_long_short_crossing as slsc
from cqt.analyze.signal_long_short_crossing import signal_average_envelope as sae
import copy
class StrategySimpleMA(Strategy):
def apply_event_logic(self, time, ledger):
coin = 'b... | [
"yolandwjx@gmail.com"
] | yolandwjx@gmail.com |
52a5fc44063f2e73239719204651a2f2b4b3e5e5 | 767b5482f3c5b9c2c85575c711e37561f5b8f198 | /engine/engine_lib/encoderlib.py | 27d186e1e4d625fe001279e1c8110f2ff708818f | [] | no_license | zhupite233/scaner | 8e39c903f295d06195be20067043087ec8baac4f | 7c29c02bca2247a82bcbb91cc86955cc27998c95 | refs/heads/master | 2020-05-18T03:23:03.459222 | 2019-04-15T04:29:10 | 2019-04-15T04:29:10 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,332 | py | #!/usr/bin/env python
"""
This is the encoding / decoding functions collection for DharmaEncoder. It
allows you to encode and decode various data formats.
(c) 2010 Nathan Hamiel
Email: nathan{at}neohaxor{dot}org
Hexsec Labs: http://hexsec.com/labs
This program is free software: you can redistribute it and/or modify
it... | [
"lixiang@yundun.com"
] | lixiang@yundun.com |
c6f9bfe889eb0278f68b7a17049662d5605c5285 | 5af277b5819d74e61374d1d78c303ac93c831cf5 | /axial/logging_utils.py | ef723570c0f02a331ebfc7220811665417690c53 | [
"Apache-2.0"
] | permissive | Ayoob7/google-research | a2d215afb31513bd59bc989e09f54667fe45704e | 727ec399ad17b4dd1f71ce69a26fc3b0371d9fa7 | refs/heads/master | 2022-11-11T03:10:53.216693 | 2020-06-26T17:13:45 | 2020-06-26T17:13:45 | 275,205,856 | 2 | 0 | Apache-2.0 | 2020-06-26T16:58:19 | 2020-06-26T16:58:18 | null | UTF-8 | Python | false | false | 4,459 | py | # coding=utf-8
# Copyright 2020 The Google Research 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 applicab... | [
"copybara-worker@google.com"
] | copybara-worker@google.com |
1eb51bed6fada6957870d90071118e0bb172b20d | dc68820135a54bbf744425fce65da16c1101ad33 | /web/api/post_image.py | 397c4e2dafed832004870a01e5e6218a182b1a46 | [] | no_license | andrefreitas/feup-ldso-foodrific | 425cf9013427d183e0b23c5632115135dc4542f1 | ec2bd0361873d3eadd4f6a2fa60b23eb3b7e6ddf | refs/heads/master | 2021-01-10T14:30:24.011293 | 2015-10-04T11:01:09 | 2015-10-04T11:01:09 | 43,633,158 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 284 | py | from datastore import *
from pages import BaseHandler
from google.appengine.api import images
class PostImage(BaseHandler):
def get(self):
post = getPostByID(int(self.request.get("id")))
self.response.headers['Content-Type'] = 'image/png'
self.response.out.write(post.photo)
| [
"p.andrefreitas@gmail.com"
] | p.andrefreitas@gmail.com |
39f29b37f7444cf60b0b9e2cbd3307132c1c48c6 | d094ba0c8a9b1217fbf014aa79a283a49aabe88c | /env/lib/python3.6/site-packages/pandas/tests/io/parser/test_skiprows.py | 1df2ca4fad4d87539cdcdee874cb25a6cd3ce18e | [
"Apache-2.0"
] | permissive | Raniac/NEURO-LEARN | d9274e0baadd97bb02da54bdfcf6ca091fc1c703 | 3c3acc55de8ba741e673063378e6cbaf10b64c7a | refs/heads/master | 2022-12-25T23:46:54.922237 | 2020-09-06T03:15:14 | 2020-09-06T03:15:14 | 182,013,100 | 9 | 2 | Apache-2.0 | 2022-12-09T21:01:00 | 2019-04-18T03:57:00 | CSS | UTF-8 | Python | false | false | 6,948 | py | # -*- coding: utf-8 -*-
"""
Tests that skipped rows are properly handled during
parsing for all of the parsers defined in parsers.py
"""
from datetime import datetime
import numpy as np
import pytest
from pandas.compat import StringIO, lrange, range
from pandas.errors import EmptyDataError
from pandas import DataF... | [
"leibingye@outlook.com"
] | leibingye@outlook.com |
1210ab54593eea5b9c24f896a0e2f0ffdb4dc99f | fb96a752515b20e5bb3548cc5eec39b81d463643 | /Advent/2016/day_08/eight.py | f95e8a67803a3b23d5abf78129a798f0349b137b | [] | no_license | kryptn/Challenges | 2de2675ad0a39e13fb983a728dc090af7113b443 | f1aba799fa28e542bf3782cdfa825ff9440bf66c | refs/heads/master | 2021-05-01T02:54:21.404383 | 2016-12-27T17:09:09 | 2016-12-27T17:09:09 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,160 | py | with open('input.txt') as fd:
data = fd.read()
class Screen:
def __init__(self):
self.grid = [[False]*50 for x in range(6)]
def shift_row(self, row, spaces):
self.grid[row] = self.grid[row][-spaces:]+self.grid[row][:-spaces]
def shift_col(self, col, spaces):
self.grid = zi... | [
"kryptn@gmail.com"
] | kryptn@gmail.com |
f5e3c26105be0d37b85658b740c617e799dc16cb | 21961be64d9cd4414f4a6d0b45eb20f727734929 | /K47 User Manual/7_miscellany/37_relay/Code/Python/relay.py | 0e58bdd428c46888823cc7f321177d007c601ec2 | [] | no_license | Alion3064492356/Sensors-for-RaspberryPi | 156f70c2ce81705a9f1372f9d037d0432a7ad54c | f81ca29280d8d27da795f1c9720747e3db9c20d6 | refs/heads/master | 2020-03-17T20:54:52.709446 | 2018-06-14T02:30:46 | 2018-06-14T02:30:46 | 133,934,753 | 0 | 0 | null | 2018-06-12T20:31:51 | 2018-05-18T09:40:42 | Python | UTF-8 | Python | false | false | 676 | py | #!/usr/bin/env python
import RPi.GPIO as GPIO
import time
RelayPin = 10
def setup():
GPIO.setmode(GPIO.BOARD) # Numbers GPIOs by physical location
GPIO.setup(RelayPin, GPIO.OUT)
def loop():
while True:
print '...relayd on'
GPIO.output(RelayPin, GPIO.HIGH)
time.sleep(0.5)
print 'relay off...'
G... | [
"3064492356@qq.com"
] | 3064492356@qq.com |
073baf122d23c22628502336b5d6cf068590df1b | 259cc507d97bfeff84d21de3a0ab56640676a9eb | /venv1/Lib/site-packages/tensorflow/python/training/session_manager.py | 06084b1d7b3fc728396e775179f7ce788d696e65 | [
"MIT",
"Apache-2.0"
] | permissive | Soum-Soum/Tensorflow_Face_Finder | c3ef71b6f718f6720b80f8760d28b6ca6e11e6d2 | fec6c15d2df7012608511ad87f4b55731bf99478 | refs/heads/master | 2020-03-22T20:31:39.606644 | 2018-07-12T13:47:56 | 2018-07-12T13:47:56 | 140,607,068 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 21,336 | 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... | [
"pes.carceller@gmail.com"
] | pes.carceller@gmail.com |
6a6d137d3c8dc70d14aa023a752ffba6f170d4fd | 91af1af67ed219e583b209b40ae5dd34d6f7f355 | /train_net.py | 90d770c1765c7f52a585ded8af49a5bf767545db | [] | no_license | jack20951948/Deep-Clustering | d6f5bfdd97be1f07f114371eafd9f8643ebb6e30 | 4dd8b4d3fef72e597cd142406d343450cf2dd517 | refs/heads/main | 2023-06-28T02:18:58.915727 | 2021-07-18T07:18:10 | 2021-07-18T07:18:10 | 387,109,398 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,555 | py | '''
Script to train the model
'''
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from datetime import datetime
import os.path
import time
import numpy as np
import tensorflow as tf
import ipdb
from datagenerator2 import DataGenerator
from model import Mode... | [
"j20951948@gmail.com"
] | j20951948@gmail.com |
b992a6459c6e930f7216efb9a7c3dd03ebc7e85e | 2f81d225594bbe655bc7d3442a1a41924d3829ff | /src/qrcode/tests.py | 098102082f5e0412f5c8fd51ab6e2fe2a4c8b623 | [] | no_license | znight99/inkscape_ext_barcode | 02c33ec4d1f9d0be329f9b268682c7077ff433e4 | 52079e1f739bd318f28959b6148fa935cd8cd6ac | refs/heads/master | 2021-08-22T11:11:10.351558 | 2017-11-30T02:33:55 | 2017-11-30T02:33:55 | 112,554,299 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,830 | py | import six
import qrcode
import qrcode.util
import qrcode.image.svg
try:
import qrcode.image.pure
import pymaging_png # ensure that PNG support is installed
except ImportError:
pymaging_png = None
from qrcode.util import (
MODE_NUMBER, MODE_ALPHA_NUM, MODE_8BIT_BYTE)
try:
import unittest2 as uni... | [
"znight@yeah.net"
] | znight@yeah.net |
54157e46485cfe84e785669c8a896e72e4eba04c | 22fc34523f4de64a1e1eea707e01da79e425a043 | /srtmprofile/core/urls.py | 3eb617af2639a39dc20d463863e4fff390506028 | [
"MIT"
] | permissive | marcellobenigno/srtmprofile | 04cdcf4a1f127462dd37d94ec5f368b0f304b932 | 52a2550976ce4ecad2921e53a72ac2ec8a8459b5 | refs/heads/master | 2021-04-03T05:25:54.097968 | 2018-03-15T11:05:02 | 2018-03-15T11:05:02 | 124,605,246 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 261 | py | from django.conf.urls import url
from . import views
app_name = 'core'
urlpatterns = [
url(r'^$', views.home, name='home'),
url(r'^roads.geojson$', views.roads_geojson, name='roads_geojson'),
url(r'^(?P<pk>\d+)/$', views.detail, name='detail'),
]
| [
"benigno.marcello@gmail.com"
] | benigno.marcello@gmail.com |
4c20c568fe6c4a47880f6ed1eb34cc337b469524 | 6404478cd856f018bddf4a047b23d658e29d94cb | /robot_position_estimation.py | c6b4c283acb14211540d045a0e9ed7c24a3fb5c8 | [] | no_license | RokonUZ/robotic-arm-pick-and-place-OpenCv-Python | c11eff3d70f46d47267ee7342ab16f96a90073af | f9ac7e759a93199d56d97b27efcc7c3d085c1e9e | refs/heads/main | 2023-09-03T10:13:18.792301 | 2021-10-27T17:53:24 | 2021-10-27T17:53:24 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,663 | py | # -*- coding: utf-8 -*-
"""
Created on Sun Nov 8 21:58:01 2020
@author: Tehseen
"""
# This code is used to Find the location of the Origin of the Robotic arm
# with respect to the image frame. We calculate the center point (origin) of the robotic arm
# as well as the rotation of the robotic arm with resp... | [
"noreply@github.com"
] | noreply@github.com |
b100acdda26eabc4c53277934e03fac670a2011b | fe7c5854aa07223cfcfcb117ada0dd8111f258fe | /controlLayer_server/Control Layer.py | 7865665e43047daf46a77bca27d98560e268aa13 | [] | no_license | amrmoastafa/CodeYield | ba27dd8aa6d4c47dc43550a64ae0df24c5b30cdb | 7715e651ee13ca2e982f8edb844e0e4f6512ec42 | refs/heads/master | 2022-07-04T13:36:28.033621 | 2020-05-12T11:29:16 | 2020-05-12T11:29:16 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,884 | py | import cv2 as cv
from image import detectImage
from NavBar import navBar
from cross_circle import detectIcon
from LabelBar import labelBarDetection
from LabelDetection import labelDetection
path = "data/test.png"
img = cv.imread(path)
imageHeight, imageWidth, imageChannels = img.shape
print(imageHeight,imageWidth)
# ... | [
"ahmedmoamen138@gmail.com"
] | ahmedmoamen138@gmail.com |
ac338df45f6245caeacf3c665331db8a223ae9b2 | a1af0d3029d0dc2715a3ee55a1767351d18a6f9f | /LC/2115_find_recipes.py | 29bff113ed5592ca5f8200edface44f74795b78a | [] | no_license | zona-li/practice_in_python | b36c12112ec6b27cdb3b9bf83b315ac021d0c4e2 | 2906d12452ec059a7e39fb772391082a576591f0 | refs/heads/master | 2022-09-07T18:02:03.520425 | 2022-09-04T22:40:26 | 2022-09-04T22:40:26 | 100,322,799 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,014 | py | # recipes = ["burger", "sandwich", "bread"]
# ingredients = [["sandwich","meat","bread"],["bread","meat"],["yeast","flour"]]
# supplies = ["yeast","flour","meat"]
from collections import Counter, defaultdict, deque
from typing import List
from traitlets import default
class Solution:
def findAllRecipes(self, reci... | [
"haoyang.zona@gmail.com"
] | haoyang.zona@gmail.com |
fffce95d0709e83632fe51584057dd7a2f48896d | 51e56d62ba688b5cc323a3ee3890b87934ae7682 | /5_Arg_Pr_Nac.py | 4c377c901ba044f8930cb6e0a34c4005c39cbf51 | [] | no_license | BogdansProgsCo/OLIMP_FREEDOM | b239df814af90e1dc5fd0aff15ee1c5e921a61f6 | 3e631a223b6215d136104eba70bc35203dfe47cf | refs/heads/main | 2023-05-14T13:19:14.760929 | 2021-06-14T18:21:40 | 2021-06-14T18:21:40 | 376,906,591 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 319,195 | py | import requests
from bs4 import BeautifulSoup
import re
import datetime as dt
headers = {"User-Agent": 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.9; rv:45.0) Gecko/20100101 Firefox/45.0'}
url = 'https://nb-bet.com/Teams/2136-Atlanta-Buenos-Ayres-statistika-komandi'
r = requests.get(url, headers=headers)
wi... | [
"noreply@github.com"
] | noreply@github.com |
9591bbc70a14e16ba63940263937edaeb6058ed4 | 1de19b4527989a29a15cb9ccf3b40c6cbce6e906 | /http/http_client.py | 87802227635ca277305215dce27147758e79c4ec | [] | no_license | rjcostales/python | 468406184bb984e893c3217e74dabff0be4d24c1 | ab09a421a0b9d806a9c8dbef9dc166274a19b4d2 | refs/heads/master | 2021-01-17T11:48:14.512859 | 2018-11-07T20:46:50 | 2018-11-07T20:46:50 | 38,708,542 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 474 | py | import http.client
url = 'www.python.org'
conn = http.client.HTTPConnection(url)
conn.request("GET", "/")
response = conn.getresponse()
print('\nstatus')
print(response.status)
print('\nmsg')
print(response.msg)
print('\nheaders')
print(response.getheaders())
print(response.getheader("date"))
print(response.gethea... | [
"jesse.costales@sigfig.com"
] | jesse.costales@sigfig.com |
16576534e3c49ba3775bb663e766209077577950 | a467c2c1f691095c0e13db08dd3e939f57ec2096 | /myenv/lib/python2.7/warnings.py | a0bd7105fc010dcd2c1b0f38d8a6f32eca1a30aa | [] | no_license | Etheri/my-first-blog | 88e7e5dfd6b31206964cef3213c877e717c88d0c | af14f10029bc9168d5875f5978342279c8bdd416 | refs/heads/master | 2021-01-23T05:09:58.496749 | 2017-05-31T14:44:38 | 2017-05-31T14:44:38 | 92,956,488 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 52 | py | /home/bednyakova/anaconda2/lib/python2.7/warnings.py | [
"bednyakova.a@gmail.com"
] | bednyakova.a@gmail.com |
d2534e7f9ed2539c6ec7228c87061771a60c4676 | 1d11288ec1a5d98dcf66c4ca45072ffd29901de0 | /mrp_extend/models/mrp_bom_line.py | 0731280072097855fc742fa848452a84c7f6fb29 | [] | no_license | pyrun13/addons | 14202e273c802cee391a68474a6bdc7cf062b25c | b81650d81e0a227dd4fc460846e53ce5e61a8cc1 | refs/heads/master | 2020-09-07T21:48:18.673226 | 2019-11-12T16:15:06 | 2019-11-12T16:15:06 | 220,921,425 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 412 | py | from odoo import models, fields, api, exceptions
class MrpBomLine(models.Model):
_inherit = 'mrp.bom.line'
attrition_rate = fields.Float(string='损耗率(%)')
def write(self, vals):
attrition_rate = vals.get('attrition_rate', 0)
if attrition_rate < 0:
raise exceptions.ValidationEr... | [
"xiongjianhong@gmail.com"
] | xiongjianhong@gmail.com |
ea06dfdc414399d140d3ee55f76920fd6e8f97c9 | b76990d490d87517e01f60e3f010de273e473725 | /naive_bayesian_for_text.py | 3479592ef6ac9058ae8cf48977118cfc0a7bc267 | [] | no_license | manju838/machine_learing_algo_python | 10799bba48e9e850cff397e4ede4ae1ca61c679b | d679f2df11b963bd926842d46db7e6235ff511a8 | refs/heads/master | 2022-03-06T04:30:11.481001 | 2019-10-24T01:26:55 | 2019-10-24T01:26:55 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,751 | py | import numpy as np
import text_preprocess
class NaiveBayesianForText:
def fit(self, X, y):
'''
Parameters
----------
X : shape (n_corpus, text_length)
Training corpus
y : shape (n_corpus,)
Target values
'''
self.__classes ... | [
"zhaoyi3@lenovo.com"
] | zhaoyi3@lenovo.com |
1398fd23f5db51415ada765ea40ff41dfd172980 | 1472d0b89d3c845f1f40552fcef889cd12ce367e | /classification/quiz.py | 2c461e7f0ef7cf0fe26cd2e9708dabc4dc97b1c1 | [] | no_license | AatmanTogadia/DataMining | 47e45cb26b8c5bfbb8fdda08044517765c7b3c96 | a3005e132dd823f13dd00dff9ad9f9bd7c1870d0 | refs/heads/master | 2020-12-25T10:34:10.452558 | 2016-07-07T04:02:07 | 2016-07-07T04:02:07 | 61,662,458 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,541 | py | # -*- coding: utf-8 -*-
"""
Created on Thu Apr 14 21:53:56 2016
@author: Aatman
"""
__author__ = 'Aatman'
from sklearn.linear_model import LogisticRegression
from sklearn import svm
import pylab as pl
import numpy as np
from sklearn import cross_validation
from sklearn.grid_search import GridSearchCV
import json
imp... | [
"Aatman Togadia"
] | Aatman Togadia |
01b5228bafb4cd7e36afa383714ca0ce95b4d5dd | 3d19e1a316de4d6d96471c64332fff7acfaf1308 | /Users/A/anlangner/cordis_v3.py | c960031a72d020159d2fc051da824933e00894a7 | [] | no_license | BerilBBJ/scraperwiki-scraper-vault | 4e98837ac3b1cc3a3edb01b8954ed00f341c8fcc | 65ea6a943cc348a9caf3782b900b36446f7e137d | refs/heads/master | 2021-12-02T23:55:58.481210 | 2013-09-30T17:02:59 | 2013-09-30T17:02:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 14,592 | py | import scraperwiki
import scrapemark
import feedparser
import csv
import re
import urllib2,sys
import requests
import lxml.html
from BeautifulSoup import BeautifulSoup, NavigableString
# extract project page links from the result page "url"
def extract_links(url):
atom_feed = feedparser.parse(url)
link_li... | [
"pallih@kaninka.net"
] | pallih@kaninka.net |
a397b67df4bf1082a8f0cd0373bcb051241d51ce | e008a757fc02e6fcc725cc079b373f7c5cfefa28 | /experiments/analysis_gtex_feature_explore.py | b96d4acfe61ff7ff19f4fa1616583928de208ebe | [] | no_license | sc130/AdaFDRpaper | 74e3b67548f0f2811ac1a4d170f379396dd60440 | c564f24a513cf505c4ac7ab07e960d4ef6be1b9b | refs/heads/master | 2022-01-22T16:59:57.285565 | 2019-07-31T18:34:35 | 2019-07-31T18:34:35 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,398 | py | ## system settings
import matplotlib
matplotlib.use('Agg')
import logging
import os
import sys
import argparse
import adafdr.data_loader as dl
import adafdr.method as md
import time
import matplotlib.pyplot as plt
import pickle
def main(args):
# Set up parameters.
alpha = 0.01
n_itr = 1500
# Set up th... | [
"martinjzhang@gmail.com"
] | martinjzhang@gmail.com |
3b0761a6d612bc898fd451258885973dbdba8234 | de3e36fb6ed1a94c3b8b0313f426d4f74c858fad | /industry/hw3/checkers/svm_impl_shtanko.py | 601f22ae73bcdf347265b05fc1e140f934602597 | [] | no_license | leonshting/data_mining_in_action_2017 | 5415c542de56013bc5b2ef21137e2347bf2f1765 | baeb379213e44c6f38d73f845a5c673ce78f2cf3 | refs/heads/master | 2021-05-07T01:20:52.985394 | 2017-11-18T16:02:25 | 2017-11-18T16:02:25 | 110,332,082 | 0 | 0 | null | 2017-11-11T09:02:35 | 2017-11-11T09:02:35 | null | UTF-8 | Python | false | false | 3,678 | py | import numpy as np
from sklearn.base import BaseEstimator
SVM_PARAMS_DICT = {
'C': 100,
'random_state': 42,
'iters': 1000,
'batch_size': 10,
}
import numpy as np
from random import randint
import random
np.random.seed(42)
random.seed(42)
class MySVM(object):
def __init__(self, C=10000, batch... | [
"leonshting@gmail.com"
] | leonshting@gmail.com |
e6d4a5b68241ef8bf821e322cb11bd1f31db75b6 | acb8e84e3b9c987fcab341f799f41d5a5ec4d587 | /langs/7/rci.py | 1499f78fdcb23fcbcc72afecd718862922797f9e | [] | 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 |
9e70985c1a04109922a692d38d13895082188238 | 8575c4ce854151973bb8f58b8a124f7b1816df45 | /Malu_Python_Scripts/badpix_match.py | eb4ee7f719267ce1e11e56c8d1213791dbaeb636 | [] | no_license | mlldantas/Gal_classification | e0a3ce375d0661ca1933b4d36ff20f6fb4d469cc | 81c392ec828709d30dea351a2fe27ec81bc6e69d | refs/heads/master | 2022-03-30T14:24:18.340900 | 2020-02-21T17:24:25 | 2020-02-21T17:24:25 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,834 | py | from __future__ import division
import numpy as np
import pandas as pd
dn4000_txt = '/home/mldantas/Dropbox/STARLIGHT/dn4000_MALU.txt'
lines = '/home/mldantas/Dropbox/STARLIGHT/lines.txt'
dn4000_table = np.loadtxt(dn4000_txt, dtype=object)
lines_table = np.loadtxt(lines, dtype=object)
bad_pix_info = np.lo... | [
"noreply@github.com"
] | noreply@github.com |
05af6eb6e60b4748045485fcbf36d751acf72583 | 0c7ff0ec35ba2bb38f99ef6ecb261ec33466dd52 | /Day1/day1Project.py | 2d1e56254a4ef4fd53ab5a15fdd51db183e510ec | [] | no_license | TheKinshu/100-Days-Python | 15cbacc608ee349cc9733a7032e10a359bebb731 | 293ad6b3e5f5208da84efbc5b2d2d395a5a53421 | refs/heads/master | 2023-04-18T08:21:30.361800 | 2021-05-02T18:48:39 | 2021-05-02T18:48:39 | 351,582,416 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 534 | py | #1. Create a greeting for your program.
print("Welcome to the Band Name Generator.")
#2. Ask the user for the city that they grew up in.
city = input("What's name of the city you gre up in?\n")
#3. Ask the user for the name of a pet.
pet = input("What's your pet's name?\n")
#4. Combine the name of their city and pet... | [
"kc007919@gmail.com"
] | kc007919@gmail.com |
92c3a0d5822904b02ee02cf30204b593268f8d36 | ded10c2f2f5f91c44ec950237a59225e8486abd8 | /.history/2/matrix_squaring_20200413235341.py | 1cded98ea6504881b7ef71c0979704ed33286f9f | [] | no_license | jearistiz/Statistical-Physics-Projects | 276a86407b32ded4e06b32efb2fadbd8eff8daed | d9c5b16a50856e148dc8604d92b6de3ea21fc552 | refs/heads/master | 2022-11-05T03:41:23.623050 | 2020-06-28T06:36:05 | 2020-06-28T06:36:05 | 254,909,897 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,000 | py | # -*- coding: utf-8 -*-
from __future__ import division
import numpy as np
import matplotlib.pyplot as plt
from time import time
import pandas as pd
def rho_free(x,xp,beta):
"""
Uso: devuelve elemento de matriz dsnsidad para el caso de una partícula libre en un toro infinito.
"""
return (2.*np.pi*beta)... | [
"jeaz.git@gmail.com"
] | jeaz.git@gmail.com |
1e6ab766a2799d3338ba484409f9b162c8797b68 | 1d8b4d67e1f65b785cd11d006d0322af0d27ebcc | /[0725_현수]Naver_DSC2018/TypeAnalysis_Cpu.py | e860a910918d24f084a3f913c62b0b36624edccb | [] | no_license | kumakuma34/Naver-DataScienceCompetition-2018 | 4256ff548d3d8893620581dc49cf8ea37a2a9d0e | a5c447f327ca6d18879cc7ae59b5889a0292fedc | refs/heads/master | 2020-05-04T21:56:23.604022 | 2019-09-28T11:40:22 | 2019-09-28T11:40:22 | 179,494,179 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 926 | py | # -*- coding: utf-8 -*-
"""
Created on Wed Jul 25 22:06:02 2018
@author: qgqg2
"""
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
import collections
from sklearn import datasets, linear_model
# utf-8 encoding error, so I take 'cp1252'
df = pd.read_csv('Processed_Data.c... | [
"qgqg264@naver.com"
] | qgqg264@naver.com |
af071cda274d216298ffa43dad3dc91a802788fa | a97dab5a6d7fa9e65a61193001652198236d5814 | /ircpdb/bot.py | ce6b1bf265fbd7e97b178bd50deab4f663a664cb | [
"BSD-2-Clause"
] | permissive | scshepard/ircpdb | ac083b55fe94485e44859f7dca301361d6411616 | d6f197b02a77113d8e025e3026b64549eb748e2e | refs/heads/master | 2021-01-24T14:27:05.410262 | 2014-10-30T23:09:24 | 2014-10-30T23:09:24 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,071 | py | import fcntl
import logging
from multiprocessing import Queue
import os
import random
import socket
import textwrap
import time
from irc import strings
from irc.bot import SingleServerIRCBot, ServerSpec
import requests
import six
from .exceptions import DpasteError
logger = logging.getLogger(__name__)
class Ircpd... | [
"adam.coddington@coxinc.com"
] | adam.coddington@coxinc.com |
c8448d233f737831366635ce1250748f73103822 | 97aa47340e99f7be364f27cba87e499d942eab43 | /dice.py | e625e3d7c22d238043fb453f6c002adc02a49a65 | [] | no_license | eryilmazysf/assignments- | cbe0d0d761a0a3da819c456ea0d9accb86175a35 | c1b3084b39ea72ae14fdc4c564d94c26ca198806 | refs/heads/master | 2022-12-11T00:22:59.427632 | 2020-09-02T15:26:12 | 2020-09-02T15:26:12 | 277,168,892 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 860 | py | import random
print("""
*************************
DİCE SİMULATİON
*************************
do not forget dice number between 1 and 8
""")
x=int(input("how many dice you will use:"))
while (x<1 or x>8): #for control whether valid or not
print("not valid value try again")
x = int(input("how many dice... | [
"yusuferyilmaz1819@gmail.com"
] | yusuferyilmaz1819@gmail.com |
225aaf3cdf09abdad88c9d81dc062d86ce62c1f7 | 16bb2395e3e1c51450a242c1f13718734686c749 | /src/models/ERGM_CVX.py | c89b1232c8587cc1ae750850d3c32148d94d5507 | [
"MIT"
] | permissive | DanqingZ/CPS_TRC | 8a05edacf2aa2ec1f260aa08fa19515779869a6b | 47f98ffc909e2cc9759a0f273a521b3ba189a02f | refs/heads/master | 2021-05-01T01:56:35.471342 | 2019-08-26T17:15:32 | 2019-08-26T17:15:32 | 82,489,734 | 7 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,662 | py | import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from cvxpy import *
class ERGM_CVX:
def __init__(self, E, C, V, E_all):
self.E = E
self.C = C
self.V = V
self.E_all = E_all
def run_CVX(self):
community = self.C.values.tolist()
input = np.zeros((len(self.C)*len(self.C),2))
c_matr... | [
"danqing0703@berkeley.edu"
] | danqing0703@berkeley.edu |
2e3138b7aebe9b0d818303c674da9144988dee2d | 2b0eab74af8d23244ff11699830f9bb10fbd717a | /helpers/mixins/unpack_tags_mixin.py | 5e6e4c11c733fc5368427ac90ddb23bf2e781302 | [] | no_license | alexandrenorman/mixeur | c7e25cd20b03c78b361cb40e3e359a6dc5d9b06b | 95d21cd6036a99c5f399b700a5426e9e2e17e878 | refs/heads/main | 2023-03-13T23:50:11.800627 | 2021-03-07T15:49:15 | 2021-03-07T15:49:15 | 345,384,858 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,277 | py | from .unpack_ids_mixin import UnpackIdsMixin
class UnpackTagsMixin(UnpackIdsMixin):
"""
Mixin to apply on a ModelViewSet which transform registered fields from string containing ids to list of objects
"1,2,3" => [<Obj id=1>, <Obj id=2>, <Obj id=3>]
If a string passed, it will create a new instance of ... | [
"norman@xael.org"
] | norman@xael.org |
b11487f305e77ea0ce64db973c3e20b4db2f6b9a | 8cf28f19ec1d4ac902a5c53a3a4f23a21f125af4 | /list_dictionary.py | b5c6314af499e0bf32f6f2500a4bbd104d9d54b8 | [] | no_license | thydev/dojo-pythonbasic | e8ba6e986c8eefd45f15bf4d66802323da46e96e | 1c96ef09b2e7f9b65c5e9a6b78dce5fd7ca675e3 | refs/heads/master | 2021-01-25T14:55:49.532555 | 2018-03-05T16:18:21 | 2018-03-05T16:18:21 | 123,735,757 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,048 | py | # Create a function that takes in two lists and creates a single dictionary.
# The first list contains keys and the second list contains the values.
# Assume the lists will be of equal length.
name = ["Anna", "Eli", "Pariece", "Brendan", "Amy", "Shane", "Oscar","Dojo", "coding"]
favorite_animal = ["horse", "cat", "s... | [
"nginchanthy@gmail.com"
] | nginchanthy@gmail.com |
e1f2f7cda8711e3ec07881200a6ea52f823dd4d3 | 1b98c70426580d6cebf36b6f9ed807fe7a9c0729 | /plots/plot-rx-overhead.py | f34b76b70508ad27093ed0e330314680583b85a3 | [] | no_license | jvimal/eyeq-tests | 54a1bba50d7019c07b09fdd147b831a5a823b5ba | d99d05d001d5a3d9fce53b66c6587f605245b555 | refs/heads/master | 2020-06-06T17:31:13.127695 | 2013-03-21T17:24:46 | 2013-03-21T17:24:46 | 8,303,987 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,946 | py | import plot_defaults
from helper import *
import math
parser = argparse.ArgumentParser()
parser.add_argument('--cols',
help="Columns to include for CPU usage",
action="store",
default='user,sys,sirq,hirq',
dest="cols")
parser.add_argumen... | [
"j.vimal@gmail.com"
] | j.vimal@gmail.com |
a8b812a267f75e48be0ef972c448526f65c16f4c | d7f8d98b7ce4ca157d44f8124b374887c5a55f79 | /project1/critic/splitgd.py | d1d823dca5d1a5e538420a9032083b1bbb91af7b | [] | no_license | oaowren/IT3105---Artificial-Intelligence-Programming | 1961e4487c4bc73aea527ff3c7f57838e69986a5 | e98c68f231f665e1659e5efcb4e42a785ca64ca6 | refs/heads/master | 2023-05-21T16:48:49.271201 | 2021-05-31T12:26:57 | 2021-05-31T12:26:57 | 328,962,486 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 6,177 | py | import math
import tensorflow as tf
import numpy as np
# ************** Split Gradient Descent (SplitGD) **********************************
# This "exposes" the gradients during gradient descent by breaking the call to "fit" into two calls: tape.gradient
# and optimizer.apply_gradients. This enables intermediate modi... | [
"noreply@github.com"
] | noreply@github.com |
5e181f655825792a06adea89c63d5a696c7e7028 | 6dbd108198759b98ed044fc740d79d775553636a | /3.py | 5d37ad979bece10dcce4e04d6e362609616466bc | [] | no_license | linh6666/baitaptuan7-xstk | c5ca69e2b292b5c2aab6304f3242585240fff7f1 | 712922ede096a76704378e5ad9a5ed1229c81786 | refs/heads/main | 2023-08-18T19:07:13.313201 | 2021-10-09T06:14:19 | 2021-10-09T06:14:19 | 415,216,972 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 185 | py | import numpy as np
a = np.zeros((2, 512 * 512), dtype=np.float32)
a[0, :] = 1.0
a[1, :] = 0.1
print("a.shape: ", a.shape)
print("mean a = ", np.mean(a))
© 2021 GitHub, Inc.
| [
"noreply@github.com"
] | noreply@github.com |
e231384f1e02475631385dcbf48de464cedf8272 | b08b7d8561b78cdf0b245c79b577bfbc4f1805b7 | /autoclicker.py | e1f3999aa77b27481fd1823968b72a10f5f9484e | [] | no_license | AadityaKandel/AutoClicker | a3a679630ebadb048acd4cc027dfb1c0c7629d34 | 0c6559e434e40533fecf4289cd69276f13e118b6 | refs/heads/main | 2023-02-05T11:03:25.744489 | 2020-12-29T11:59:49 | 2020-12-29T11:59:49 | 325,274,803 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,394 | py | try:
from tkinter import *
import pyautogui as pp
import keyboard
# Import Success
root = Tk()
mouse = StringVar()
mouse.set("0")
mousee = StringVar()
mousee.set("0")
def loc():
for i in range(0,999999999):
act.set('Activated [ Shift+Q [ Deactivate ] ]')
root.update()
locc.se... | [
"noreply@github.com"
] | noreply@github.com |
6a6ebbb1c7f50e95986df884a5b0e3681842fb9a | c72dae37d94d8f9e80db232a9838244e2bb33fb2 | /src/teachzy/urls.py | 387858aeb2ebd754105a9a08dec06e7ba64f4989 | [] | no_license | Asifrahman96/DjangoTeachzy | 956ae3c2e9b917ec1bb181fb06babe32f7f48083 | 89e3a07b0beb12e328747a0bc369d731d63b10ec | refs/heads/master | 2023-02-24T03:08:17.274863 | 2021-01-28T20:18:41 | 2021-01-28T20:18:41 | 333,869,067 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 443 | py | from django.contrib import admin
from django.urls import path, include
from django.conf import settings
from django.conf.urls.static import static
urlpatterns = [
path('', include('pages.urls')),
path('csvs/', include('csvs.urls')),
path('teachers/', include('teachers.urls')),
path('accounts/', include... | [
"asifrahmananvar@gmail.com"
] | asifrahmananvar@gmail.com |
72596ce81af81043b7245963fcc8b2090e48c45d | 70f27f6215c5261f080cb8d12ceac5c484f2f147 | /app/django_models/person/models.py | 7af80c95b061fd6d88de2200ad80dfc6017a9b6c | [] | no_license | jordangarside/django-async-pytest-example | bf2fa32c7ffc5ebed3f2077483113b47987afd5a | 3e141eb1a048b80bd3f04c49068534f726a8c4c6 | refs/heads/master | 2022-12-02T20:51:33.364679 | 2020-08-14T16:47:22 | 2020-08-14T16:47:26 | 286,944,630 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 890 | py | from django.db import models
from asgiref.sync import sync_to_async
from typing import TypeVar
TModel = TypeVar("TModel", bound=models.Model)
class BonfireAsyncManager(models.Manager): # type: ignore # excuse: typed in a stub
"""This class is typed via a typestub in async_manager.pyi. Make sure to add new manag... | [
"jordan.garside@robinhood.com"
] | jordan.garside@robinhood.com |
3918150f5542d26412b16d6b3636c338034e5b14 | 97aed55858f227a56fd79fec51f093e192db6c01 | /app/core/tests/test_models.py | fd2b496c9844804512d95c53c549b3b3e2ae01ab | [
"MIT"
] | permissive | harrydadson/recipe-app-api | 9fdc7d52fe7c2689808d605e65e241e82235cd05 | 63015fd390877ed6d5f41384c818cb9c7d870c52 | refs/heads/master | 2020-06-26T01:18:38.264636 | 2019-08-09T04:25:53 | 2019-08-09T04:25:53 | 173,390,055 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,313 | py | from django.test import TestCase
from django.contrib.auth import get_user_model
class ModelsTests(TestCase):
def test_create_user_with_email_successful(self):
"""Test creating a new user with an email is successful"""
email = "test@email.com"
password = 'testpass123'
user = get_use... | [
"harry.dadson@gmail.com"
] | harry.dadson@gmail.com |
4b91aba2fe0eca1c717453b7bb0a1adc8c7c999a | 436da49d82df227fc2654c7e3c6acc72d6a6aad6 | /hindi/migrations/0001_initial.py | 4c174394056b998f564cafad188f59419be3a23f | [] | no_license | mc639/Manavmitra | c91a2178f01427284d256ff152a4032f978e48a4 | 567d3b483d52e9285681916bfeda773a7b9ae0ed | refs/heads/master | 2020-07-30T14:41:55.736634 | 2019-09-23T05:02:26 | 2019-09-23T05:02:26 | 210,266,603 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,342 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.10.6 on 2017-07-19 18:26
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
import tinymce.models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
... | [
"noreply@github.com"
] | noreply@github.com |
35520773184de9bc6cbe60fe4ed6a427c4a1cb42 | 1c79e354726a60b939df18aa34ab63408553d078 | /py/examples/counter_broadcast.py | 9e30f02433102c7e848efbfe1fc87dd3a516e969 | [
"Apache-2.0"
] | permissive | feddelegrand7/wave | 9017fc7bbeef9233c1fd9497c3e7a4d6f6911e85 | ba002d47fcea688bf46fa1682e6c4a73cae0f8ee | refs/heads/master | 2023-02-03T13:06:41.894758 | 2020-12-18T00:09:14 | 2020-12-18T00:09:14 | 322,443,421 | 0 | 0 | Apache-2.0 | 2020-12-18T00:31:26 | 2020-12-18T00:10:14 | null | UTF-8 | Python | false | false | 647 | py | # Mode / Broadcast
# Launch the server in broadcast mode to synchronize browser state across users.
# Open `/demo` in multiple browsers and watch them synchronize in realtime.
# ---
from h2o_wave import main, app, Q, ui, pack
@app('/demo', mode='broadcast')
async def serve(q: Q):
count = q.app.count or 0
if '... | [
"prithvi@h2o.ai"
] | prithvi@h2o.ai |
d9431f1fb2020f8d301376bed93ef53f3204cbf1 | 0c110eb32f2eaea5c65d40bda846ddc05757ced6 | /python_scripts/pimriscripts/mastersort/scripts_dir/p7432_run2M1.py | 39656c11ebf8cd9db049ce6d7b9a74d8b7e3f30a | [] | no_license | nyspisoccog/ks_scripts | 792148a288d1a9d808e397c1d2e93deda2580ff4 | 744b5a9dfa0f958062fc66e0331613faaaee5419 | refs/heads/master | 2021-01-18T14:22:25.291331 | 2018-10-15T13:08:24 | 2018-10-15T13:08:24 | 46,814,408 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,193 | py | from __future__ import with_statement
import os, csv, shutil,tarfile, uf, dcm_ops
dest_root = '/ifs/scratch/pimri/soccog/test_working'
dst_path_lst = ['7432', 'run2M1']
uf.buildtree(dest_root, dst_path_lst)
uf.copytree('/ifs/scratch/pimri/soccog/old/SocCog_Raw_Data_By_Exam_Number/2480/e1331017/s1388354_5610_2M1_s30', '... | [
"katherine@Katherines-MacBook-Pro.local"
] | katherine@Katherines-MacBook-Pro.local |
ea3871eaa7c9b6755d2963498e08b7d307615ebc | e840fe54e8fc774fce6e81b373c5f532cc35bfd1 | /Api/Flask/Daos/AccesoDatos/DaoEspectros.py | 29c5cebbb14da20aeb31c5fac0b43239ce5184ae | [] | no_license | jcamiloq/geospectre | a059cf594c13aa5e01d2d2696615c5e6c2e0d3bb | 199896571b8ecc38da8374ff35f66f3bc1f3d193 | refs/heads/master | 2022-12-12T04:40:42.159146 | 2020-09-15T14:50:40 | 2020-09-15T14:50:40 | 293,323,245 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,148 | py | from .Logica.Espectros import Espectros
class DaoEspectros:
def __init__(self, conexion):
self.conexion = conexion
def guardarEspectros(self, espectros):
sql_guardar = "INSERT INTO espectros (white, dark, capturado, resultado, sensores_id) VALUES "
sql_guardar += "(%s, %s, %s, %s, %s) ... | [
"j.juankquintero@gmail.com"
] | j.juankquintero@gmail.com |
94516c3ae940d74c65e1973a2df7f40372e0d9d4 | ecbaab2349087c97f512cd144538369609623b2b | /src/output_terminal.py | caef97d8fdb494d726d544cba5a50894735caba5 | [] | no_license | ErikCalsson/RNA_binding_site_correlation | c1b38a04efaab284c7914aba70d52e04dfa73823 | fe4e64813f90d74200660f622d06df9958c61438 | refs/heads/master | 2023-08-23T15:00:24.329338 | 2021-11-01T07:27:58 | 2021-11-01T07:27:58 | 372,179,719 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 599 | py | # imports extern
# imports intern
# import sequence_pre_calculation as calc
# import graph_creation as graph
import data_calculation as dat
# start terminal output
def use_terminal():
print("See output barGroupPC1.png or barGroupPC2.png for visualisation of final results")
# output message with statistic
... | [
"ecarlsson@techfak.uni-bielefeld.de"
] | ecarlsson@techfak.uni-bielefeld.de |
5aa9f68fd54dbb2103720c1b33fda1491da44482 | 436743a9a77d417350e27736dd20f117bb8d625a | /desidlas/preprocess/preprocess.py | d8fe688a2564fb58b2aa680d07f00882c2a2c179 | [] | no_license | samwang141224/dla_cnn | b0a017030e6007016fa9b889890fc6057fe9c3d2 | 402f675b73d7c449aa67dbe969f3ad3ab3ea3951 | refs/heads/main | 2023-03-26T23:26:32.481646 | 2021-03-31T07:48:39 | 2021-03-31T07:48:39 | 309,691,930 | 0 | 0 | null | 2021-03-31T07:48:39 | 2020-11-03T13:17:42 | Jupyter Notebook | UTF-8 | Python | false | false | 17,675 | py | """ Code for pre-processing DESI data"""
''' Basic Recipe
0. Load the DESI mock spectrum
1. Resample to a constant dlambda/lambda dispersion
2. Renomalize the flux?
3. Generate a Sightline object with DLAs
4. Add labels
5. Write to disk (numpy or TF)
'''
import numpy as np
from desidlas.dla_cnn.spectra_utils import ... | [
"noreply@github.com"
] | noreply@github.com |
a5e2debc3b4de63242c2bc5f62e4db0ae3a58645 | 44f07b81df56d7ea44775784a9697648fe481478 | /day8/faceapp/facedetect.py | ab3e244e889618a394e6791b7b7b4edf81d25532 | [] | no_license | shaadomanthra/cbpython-advanced | 436510c70deca4e1ef01517f87bba0e392583a88 | 86b613f89ca0b0cd8b243c157af1a2807e6ce605 | refs/heads/master | 2022-11-30T23:33:45.938854 | 2020-08-12T11:20:03 | 2020-08-12T11:20:03 | 276,316,817 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 841 | py | ## detect face and draw rectangles
# import packages (pip install opencv-python)
from cv2 import cv2
import sys
# path for image and cascade
imagePath = 'images/f1.jpg'
cascPath = "haarcascade_frontalface_default.xml"
# Create the haar cascade
faceCascade = cv2.CascadeClassifier(cascPath)
# Read the image & convert... | [
"packetcode@gmail.com"
] | packetcode@gmail.com |
001b8e5d7167d9f7ae30d9510713bbc363cc653b | da934e0010380fdc6894063540f61b0ebc2c9ded | /nova/crypto.py | 1f35ffa3915dad74a002a55998c536549c4b8d2d | [
"Apache-2.0"
] | permissive | bopopescu/cc-2 | ed4f1dfe3c98f476ff619058d99855a16272d36b | 37444fb16b36743c439b0d6c3cac2347e0cc0a94 | refs/heads/master | 2022-11-23T03:57:12.255817 | 2014-10-02T06:10:46 | 2014-10-02T06:10:46 | 282,512,589 | 0 | 0 | Apache-2.0 | 2020-07-25T19:36:05 | 2020-07-25T19:36:05 | null | UTF-8 | Python | false | false | 7,863 | py | # vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright [2010] [Anso Labs, 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
... | [
"anotherjesse@gmail.com"
] | anotherjesse@gmail.com |
0203f8b7a170b9c90a9503a129644d67e720066b | de121a951947f70f402079d288a78d35c85747b2 | /exercises/exercises_04.py | 79cb7651e375b500210a4054a4ae7430a01afd4a | [] | no_license | tpurnachander/requests-workshop | 56899be6c5520fb947d91676c11864d09b4489d6 | dac134558f141c482e0a52f19fdce37b7e7ba928 | refs/heads/master | 2023-03-10T19:00:31.012280 | 2021-02-19T12:08:54 | 2021-02-19T12:08:54 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,359 | py | import requests
import xml.etree.ElementTree as et
# Exercise 4.1
# Create a function create_xml_body_from_string()
# that returns a docstring (with triple double quotes)
# containing the following XML document:
# <payee>
# <name>John Smith</name>
# <address>
# <street>My street</street>
# <ci... | [
"bas@ontestautomation.com"
] | bas@ontestautomation.com |
0aca2f6b09e65de9d040194775493f12fd174098 | 4d539867a53a3b9909bec1bfb1a49e189a2f1e20 | /EGAT/data_generator_attention_visual.py | ef32d63aab04eba48e9b3958108c0b8d5495fe4c | [
"MIT"
] | permissive | sailfish009/EGAT | 7a1d05c7c77e750903cc2ceb4b671d0f37a4ea60 | a03d6cbeb3e6d8f75edd608370256326d8fcb05b | refs/heads/main | 2023-01-15T10:13:17.142550 | 2020-11-22T14:20:28 | 2020-11-22T14:20:28 | 315,053,817 | 0 | 0 | MIT | 2020-11-22T14:15:56 | 2020-11-22T14:15:55 | null | UTF-8 | Python | false | false | 4,534 | py |
import os
import time
import pickle
import torch as t
import numpy as np
from torch.utils import data
import gzip
from time import time
from config import DefaultConfig
import torch
import dgl
import threading
class dataSet(data.Dataset):
def __init__(self, root_dir, protein_list_file):
super(dataSet, sel... | [
"sazan97@gmail.com"
] | sazan97@gmail.com |
e84fdec36800bc2eaf6a99f809432ca0be4287f2 | 84c4f9e14040502efddb258c243cb8e326f274c5 | /task_2_version_3/window_func.py | 0dfa95cde19f5daed407baf331d5f76a219b536e | [] | no_license | labkubia/lab | 7b6707eb2e1a1912e64dbda87bff44ca0aa84299 | 7e8ba89aa8638eb0f80855ba76fb4d852cc63a6e | refs/heads/master | 2021-09-07T15:14:05.243702 | 2018-02-24T19:23:04 | 2018-02-24T19:23:04 | 111,433,806 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 390 | py | import numpy as np
def window_func(train_frame_set):
window = np.hanning(len(train_frame_set[0])) #different in matlab
#window = np.hamming(len(train_frame_set[0]))
train_frame_set=np.float64(train_frame_set)
frame_windowed_set=np.multiply(train_frame_set,window) # apply the window to the frames
... | [
"yuxinliu_oliver@outlook.com"
] | yuxinliu_oliver@outlook.com |
a80a155616ff956f9c128c0f892b37b9c3a26c9c | bc7f8b45413692fbf3b74287ed95ce6b2857c83c | /src/test_ocr.py | 18367e4d149ba270d56c26f52d3c540961f356a7 | [
"MIT"
] | permissive | mouradsm/vrpdr | c58b5d699d32f8858af2e7bd3bd203d56c806b97 | 700de74ac322ef2d02be36c070039dcaead918e5 | refs/heads/master | 2022-10-23T14:16:50.189659 | 2020-06-20T16:48:57 | 2020-06-20T16:48:57 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,542 | py | import cv2 as cv
import numpy as np
import argparse
import sys
import os.path
import logging
import matplotlib.pyplot as plt
from ocr import OCR
def plot_images(data, rows, cols, cmap='gray'):
if(len(data) > 0):
i = 0
for title, image in data.items():
#logging.debug(title)
... | [
"andreybicalho@gmail.com"
] | andreybicalho@gmail.com |
112b11038313f4ecd80672439c01bf4361a7ebd4 | 158f2afa919a22e51b8c607f7a34b34e72db1b1a | /Astropy_Open_Error.py | 8e9b32e185a495bd99e348ea98ba9b54dc0e07f6 | [] | no_license | chrisfrohmaier/Code_Snippets | 96fb40a8a0ea46fbe1171432af388b9003b7a877 | 59d2ec591cf74805f7d0e299a4e6dcdd23acb6de | refs/heads/master | 2016-09-10T15:50:29.066747 | 2014-03-07T11:54:07 | 2014-03-07T11:54:07 | 14,979,633 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 292 | py | from astropy.io import fits
try:
hdulist_multi_sci=fits.open('/Users/cf5g09/Documents/PTF_Transform/Icecube/refs/ptf_2924/C01/cd.ptf_2924_01_R_first.weight.fits')
#print '++++ multi_mask assign ', science_image
except IOError or Warning or UnboundLocalError:
print 'Cant open Science' | [
"cf5g09@soton.ac.uk"
] | cf5g09@soton.ac.uk |
df43518630c7ca82014fbf33f662d1d4af83bbca | 03a7a46f3cc00486ff46edcf4c4390dd64e214e5 | /lab2stack.py | c23b9e575cae786df29e52c83243cb6579e50154 | [] | no_license | fadybarsoum/NetSec-Reliable-Interaction-Protocol-Implementation | 1f558a8eb400f73df7d193b49571c9f2b196fca3 | a9ad4c4a1d9bbae224f1d61288f4df3686e27c2e | refs/heads/master | 2021-01-19T23:02:54.065939 | 2017-05-03T19:57:33 | 2017-05-03T19:57:33 | 88,915,809 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 31 | py | from src.rip import RIPProtocol | [
"fady.m.barsoum@gmail.com"
] | fady.m.barsoum@gmail.com |
2976ce29416e292cb0e119e7f3705c0bdd786ad7 | bad59b62baf06c5a110dbf96ee9653a69b8ca4df | /soldjango/soldjango/settings.py | 1daa5ebe5b7896e0a20e718dac4263b34ae127d4 | [] | no_license | 45jihoon/Leon | 848db934898ef9fc838154919c254ae5f7fcb684 | 69d024469a518a1b40e450e3408291671b183718 | refs/heads/main | 2023-01-13T10:55:11.184173 | 2020-11-18T01:47:33 | 2020-11-18T01:47:33 | 313,471,525 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,122 | py | """
Django settings for soldjango project.
Generated by 'django-admin startproject' using Django 1.11.29.
For more information on this file, see
https://docs.djangoproject.com/en/1.11/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.11/ref/settings/
"""
import... | [
"45jihoon@naver.com"
] | 45jihoon@naver.com |
ac24192eb309aac4b2982be8519bf5c2b06906ea | 1326612e90a772bd6acbf0c9532cbcaefdec9f48 | /BiblioPixelAnimations/strip/Searchlights.py | 5bed4eba37d24cfa5a9789fec768858fa29d0c92 | [
"MIT"
] | permissive | russp81/BiblioPixelAnimations | cc2ad721ed60435950282ce09d95191bf09b1eb3 | 4184ace37200861cc721e5bd7a43014bd0bbcadf | refs/heads/master | 2021-01-17T21:01:22.832174 | 2016-09-16T06:43:06 | 2016-09-16T06:43:06 | 68,341,732 | 1 | 0 | null | 2016-09-16T00:23:29 | 2016-09-16T00:23:29 | null | UTF-8 | Python | false | false | 3,267 | py | from bibliopixel import LEDStrip
import bibliopixel.colors as colors
from bibliopixel.animation import BaseStripAnim
import random
class Searchlights(BaseStripAnim):
"""Three search lights sweeping at different speeds"""
def __init__(self, led, colors=[colors.MediumSeaGreen,colors.MediumPurple,colors.MediumV... | [
"bonnie.barrilleaux@gmail.com"
] | bonnie.barrilleaux@gmail.com |
ec6528e726e97e6f27a0169c8a07854d0fd9957b | d8c12c88942f5e0d0db76885884653bb94076cac | /src/boi/parser.py | 1275ecf1b21e99ef4817ae2441b9f314e5d3a697 | [] | no_license | jkarns275/ELLie | 58c5648f3e1fbcdfb3198a51af97ebee0e5fc91a | 2ecfed86f7f4bc0a9eec36368e9fd3319ebaac6c | refs/heads/master | 2020-06-23T20:06:47.745014 | 2019-07-28T03:20:51 | 2019-07-28T03:20:51 | 198,739,697 | 0 | 0 | null | 2019-07-25T02:11:27 | 2019-07-25T02:11:26 | null | UTF-8 | Python | false | false | 11,449 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# CAVEAT UTILITOR
#
# This file was automatically generated by TatSu.
#
# https://pypi.python.org/pypi/tatsu/
#
# Any changes you make to it will be overwritten the next time
# the file is generated.
from __future__ import print_function, division, absolute_import, un... | [
"jkarns275@gmail.com"
] | jkarns275@gmail.com |
a174ca449539006233ff7a4acea1252aef8eb3eb | 0ab90ab559eab46b583b4b1fdd4a5bb3f55b7793 | /python/ray/experimental/workflow/common.py | 3c40c555e0eab6747e2da0c8fe41e1c1b84e7018 | [
"Apache-2.0",
"BSD-3-Clause",
"MIT"
] | permissive | swag1ong/ray | b22cd5ebab96c30f15b00a7d044fdeb7543a4616 | fdbeef604692aa308973988b32405ec0d70f9f40 | refs/heads/master | 2023-06-25T21:55:44.398516 | 2021-07-26T00:39:24 | 2021-07-26T00:39:24 | 389,518,857 | 2 | 0 | Apache-2.0 | 2021-07-26T05:33:40 | 2021-07-26T05:33:39 | null | UTF-8 | Python | false | false | 7,714 | py | from enum import Enum, unique
from collections import deque
import re
from typing import Dict, List, Optional, Callable, Set, Iterator, Any
import unicodedata
import uuid
from dataclasses import dataclass
import ray
from ray import ObjectRef
# Alias types
StepID = str
WorkflowOutputType = ObjectRef
@unique
class W... | [
"noreply@github.com"
] | noreply@github.com |
ecaeb6fd0293027f32aa44c7a539c89169160328 | 9f2fdb37e1dd7fd926d45fc22ecab5d3c0d6c4ab | /LDA/22.2.netease_news.py | 4d8b231eef12af009b0754091faf983191997db0 | [] | no_license | luoguohao/python2_machine_learning | 40c67028bc46b0d81ee0f28fa692be75eabaff9a | 3f6c893cf977a9ffa8b2cb18a39947c5d59600ef | refs/heads/master | 2021-05-05T21:12:00.384861 | 2017-12-28T07:49:17 | 2017-12-28T07:49:17 | 115,509,874 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,126 | py | # !/usr/bin/python
# -*- coding:utf-8 -*-
import numpy as np
from gensim import corpora, models, similarities
from pprint import pprint
import time
# import logging
# logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)
def load_stopword():
f_stop = open('22.stopword.txt')... | [
"guohao.luo@tendcloud.com"
] | guohao.luo@tendcloud.com |
4abe47ce110bd58ce4ebf9615f794bbff3b4f553 | ee2f57ffb3c0bec9a196090022a623a342a9ce96 | /PythonApp/FlaskWebProject1/runserver.py | dbe79fd5e33d3bd051c2ce33ad1fd4476e00178c | [] | no_license | cherho0/pythonApp | c313f2b2869530a79b0cba26d68e2c61df5d5ad1 | 9c7c6fb851358bc85956e9c512ba23b80d8cc3b3 | refs/heads/master | 2021-01-20T03:54:37.721785 | 2017-09-07T03:49:49 | 2017-09-07T03:49:49 | 101,373,987 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 349 | py | """
This script runs the FlaskWebProject1 application using a development server.
"""
from os import environ
from FlaskWebProject1 import app
import socket
if __name__ == '__main__':
#HOST = environ.get('SERVER_HOST', 'localhost')
hostname = socket.gethostname()
ip = socket.gethostbyname(hostname)
pri... | [
"czy11807@ly.com"
] | czy11807@ly.com |
ad21dddcaff52dd22e77f283ff4e11ab18a76100 | b8d0b260960e1c43b883049d68c15a7183df200b | /5_py_blog/blog_app/tests.py | ebafc4198267b4929abd66e68f76098e08839139 | [] | no_license | JAreina/python-django | 59ac92d0694522c1d096bed636409d9405c5caba | 66c7c301dec448217df6516198723e1ce987eab7 | refs/heads/master | 2020-03-27T18:34:59.821701 | 2018-09-07T07:49:35 | 2018-09-07T07:49:35 | 146,931,202 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,739 | py |
# Create your tests here.
from django.contrib.auth import get_user_model
from django.test import Client, TestCase
from django.urls import reverse
from .models import Post
class BlogTests(TestCase):
def setUp(self):
self.user = get_user_model().objects.create_user(
username='testuser',
... | [
"jareinafdez@gmail.com"
] | jareinafdez@gmail.com |
8c59ff3068e701a47f55427121fb4d45c93db56c | 649e2af15011b3c6326436e91a9dd9af0c3a6f8f | /vnpy/app/spread_trading/engine.py | 0a6901795c79ebaf15b64c56c62d0f2272d57e13 | [
"MIT"
] | permissive | Loopring/vnpy | 6270662260c2fdbeed846f0370d1b5eecea7c7bf | f7945b23e29dab8bfdf064da6a6cb815bb755b17 | refs/heads/loopring-release | 2023-07-16T23:11:10.174728 | 2021-09-06T04:01:00 | 2021-09-06T04:01:00 | 277,985,227 | 21 | 6 | MIT | 2021-01-23T02:21:08 | 2020-07-08T03:59:17 | Python | UTF-8 | Python | false | false | 31,837 | py | import traceback
import importlib
import os
from typing import List, Dict, Set, Callable, Any, Type
from collections import defaultdict
from copy import copy
from pathlib import Path
from datetime import datetime, timedelta
from vnpy.event import EventEngine, Event
from vnpy.trader.engine import BaseEngine, MainEngine... | [
"xiaoyou.chen@foxmail.com"
] | xiaoyou.chen@foxmail.com |
38834c15b947bd3f1e865675bfc8c866c246b9e8 | d4f4293505926285a3449bd7aba29fb4fe07a51c | /wangyi/wangyi/settings.py | c4abd898d64cb8001578cd9120598fc255472092 | [] | no_license | fugui12345/- | 96078509e798e7b55af5632dfdf37969c727894c | ffb9f7d6295cd246d990ea35f28c2fce5035af19 | refs/heads/main | 2023-07-01T06:36:32.951094 | 2021-08-04T18:48:15 | 2021-08-04T18:48:15 | 392,793,829 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,147 | py | # Scrapy settings for wangyi project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
# https://docs.scrapy.org/en/latest/topics/settings.html
# https://docs.scrapy.org/en/latest/topics/downloader-middleware.... | [
"noreply@github.com"
] | noreply@github.com |
9a71057ca86eb6931927a2afbb8ea436b8c68c37 | afd44f9bf1469418ae4709f48f2c3c188b45eb73 | /preprocessing/text_processor.py | 88a513a6b2da416865452ab9af1cab27c4987d68 | [] | no_license | zerebom/pytoolkit | 2ed359ec0ef612461dec24b57e746f99f212d540 | 078a2fa786a755d6fe0ee69dd8caecec833fb2fa | refs/heads/master | 2020-06-29T06:20:11.069967 | 2019-09-18T01:59:14 | 2019-09-18T01:59:14 | 200,461,675 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,065 | py | import urllib.request, urllib.error
import re
import MeCab
import mojimoji
from sklearn.feature_extraction.text import TfidfVectorizer
def get_stopword()->list:
slothlib_path = 'http://svn.sourceforge.jp/svnroot/slothlib/CSharp/Version1/SlothLib/NLP/Filter/StopWord/word/Japanese.txt'
slothlib_file = urllib.req... | [
"ice.choco.pudding.kokoro@gmail.com"
] | ice.choco.pudding.kokoro@gmail.com |
6114e7a67a5459c344b648dc4ae2266a17a375b1 | 3b8955841f6982c575331ac78ce91deb327902ee | /utils/ax.py | 858f4f79bc2837700f6fdd88f371a3710a7d33d6 | [] | no_license | kyshel/ich | 6c7b1e66ca28c7c633d800eb7f4d3ee76e05c056 | 1cd4a17a9abf63afa72195fffdc7051fd87eed45 | refs/heads/main | 2023-07-22T17:27:58.461595 | 2021-08-21T13:42:54 | 2021-08-21T13:42:54 | 370,445,761 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,300 | py | # general functions that often use
import os
import pickle
import json
import csv
from time import localtime, strftime
from pathlib import Path
import time
import glob
import re
import math
from decimal import Decimal
from pathlib import Path
import glob
import re
import torch # no need repro cause only save here
... | [
"11898075+kyshel@users.noreply.github.com"
] | 11898075+kyshel@users.noreply.github.com |
19566dd1b2d10137c2e3943ea5ac2e7ec000f503 | 55e14ece094383ca13ad22d638d545767a637327 | /ClassificationModel_TrainedW2V/repeat.py | adaa7b183171cce43ebab70c21964e334860e323 | [] | no_license | UnitForDataScience/Neptune-Classification | e16ede89d2e3afc434a787d018d99c2393525811 | 114d78c1fcfd1ec329636fde3401fdedd8d418ef | refs/heads/master | 2022-06-09T23:25:04.386608 | 2020-05-06T06:05:10 | 2020-05-06T06:05:10 | 261,607,929 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 75 | py | import os
import main
for i in range(4):
os.system('python main.py')
| [
"asudatascience@datascience.dhcp.asu.edu"
] | asudatascience@datascience.dhcp.asu.edu |
90ebb27f00615a63b07c8ff1cd495f77293c88ea | 8f784ca91cd56818dc6e38d5e602756a913e13b4 | /modbus_tcp_server/network/accept_thread.py | a512980848dd5a91ed2ce730cf546634df5968c6 | [
"MIT"
] | permissive | smok-serwis/modbus-tcp-server | 9a02a3c5e9d0875179903bc4171b4d782d6d48b9 | 558eca908b6762280a74b16d78d56dc047a9dace | refs/heads/master | 2023-06-14T01:26:07.299860 | 2021-07-15T13:59:15 | 2021-07-15T13:59:15 | 339,780,750 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,383 | py | import socket
import typing as tp
from satella.coding import silence_excs
from satella.coding.concurrent import TerminableThread
from .conn_thread import ConnectionThread
from ..data_source import BaseDataSource, TestingDataSource
from ..datagrams import MODBUSTCPMessage
from ..processor import ModbusProcessor
clas... | [
"piotr.maslanka@henrietta.com.pl"
] | piotr.maslanka@henrietta.com.pl |
4c8db1dea09dd07cd75539c214a17c0ac7ae5b64 | 1738a24cc31c3e659384d9c3cafaf9d15b1eac52 | /ChatBot.py | e9bde94ee7ef2562b2d6bcedd554077b56e4a139 | [] | no_license | michaelcicero/PythonChatBot | 7e7bb54e6009b80698b898e468a1dc375019b6fc | e0f8d47e42b05e5823880d1c21534d9560050072 | refs/heads/master | 2022-12-09T20:07:04.335082 | 2020-09-09T20:55:24 | 2020-09-09T20:55:24 | 294,226,744 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,946 | py | # # - * - coding: utf-8 - * -
""" Eliza homework """
_author_="Michael Cicero"
import re
#find bye function
def findBye(a):
if(re.findall(r'bye', curInp, re.IGNORECASE)):
print("It was nice speaking with you. Goodbye")
quit()
#find ed function
def findEd(b):
l = b.split("... | [
"noreply@github.com"
] | noreply@github.com |
63d50f46e6763c50b438c35733b409c516416606 | 33cff13b90fdd628560baef8b3f6d68ceaad912c | /tests/test_commands/test_package_downloads.py | e4b7b094ed22878a396f1c1e911369fd769b9165 | [
"MIT"
] | permissive | rosdyana/dephell | 3139140d6f16288177705020a625897f91f2514b | 993a212ce17dda04a878ceac64854d809f3dc47b | refs/heads/master | 2020-08-06T09:38:21.150070 | 2019-09-27T16:58:23 | 2019-09-27T16:58:23 | 212,927,181 | 0 | 0 | MIT | 2019-10-05T01:22:23 | 2019-10-05T01:22:23 | null | UTF-8 | Python | false | false | 708 | py | # built-in
import json
# external
import pytest
# project
from dephell.commands import PackageDownloadsCommand
from dephell.config import Config
@pytest.mark.skipif(True, reason='disable while pypistat is down')
@pytest.mark.allow_hosts()
def test_package_downloads_command(capsys):
config = Config()
config.... | [
"master_fess@mail.ru"
] | master_fess@mail.ru |
b327266507aba7d35b343d48b9710ab0f36214ad | 0da165e72316bff15e8330a9d1789bd743d30689 | /quadcopter/agents/ddpg_v1/ddpg_actor.py | 83c47f1620e3d085e795d5e60e55546294fba7ba | [] | no_license | padickinson/RL-Quadcopter-2 | 1267ce761780ea5d79f705ca2286ae780b95298c | ebb70ac7f7252b69cd94111bbe0637a17196e87e | refs/heads/master | 2020-03-29T10:19:54.320868 | 2018-09-21T21:31:43 | 2018-09-21T21:31:43 | 149,799,738 | 0 | 0 | null | 2018-09-21T18:02:26 | 2018-09-21T18:02:26 | null | UTF-8 | Python | false | false | 2,945 | py | from keras import layers, models, optimizers
from keras import backend as K
class Actor:
"""Actor (Policy) Model."""
def __init__(self, state_size, action_size, action_low, action_high, lr, alpha):
"""Initialize parameters and build model.
Params
======
state_size (int): D... | [
"padickinson@gmail.com"
] | padickinson@gmail.com |
1a57dcb6dd5bc694a8c241ff875abb2a00b8f021 | a2e638cd0c124254e67963bda62c21351881ee75 | /Extensions/Prime Services/FPythonCode/PaymentFees.py | d79409eb38743fa11ab65e6b6c2c6f2b1438516b | [] | no_license | webclinic017/fa-absa-py3 | 1ffa98f2bd72d541166fdaac421d3c84147a4e01 | 5e7cc7de3495145501ca53deb9efee2233ab7e1c | refs/heads/main | 2023-04-19T10:41:21.273030 | 2021-05-10T08:50:05 | 2021-05-10T08:50:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,474 | py | """-----------------------------------------------------------------------
MODULE
PaymentFees
DESCRIPTION
Date : 2012-09-19
Purpose : Returns the payment fees of a trade
Department and Desk : Prime Services
Requester : Danilo Mantoan
Developer : N... | [
"nencho.georogiev@absa.africa"
] | nencho.georogiev@absa.africa |
36d202508d82d6e61d7e13af2d2f6b042afdbfe4 | 77fb4b9902a79a2bcc42105f1c62744cc869cd15 | /wignerd1.py | 0aae41925ad38d3c8112ac88bc28753c021972ef | [] | no_license | davidsdatascience/Algorithm-Development | 6dd3d35d6eeab1a3a019abca8b591950f7830754 | 57b0cf1a976ce7005fa05a79880a49d6bdd06822 | refs/heads/master | 2020-04-20T09:21:54.105597 | 2019-05-04T20:08:50 | 2019-05-04T20:08:50 | 168,763,580 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,354 | py | from scipy.special import jv, legendre, sph_harm, jacobi
from scipy.misc import factorial, comb
from numpy import floor, sqrt, sin, cos, exp, power
from math import pi
def wignerd(j,m,n=0,approx_lim=10):
'''
Wigner "small d" matrix. (Euler z-y-z convention)
example:
j = 2
m ... | [
"noreply@github.com"
] | noreply@github.com |
78d7b71bc57e02874094e8d8369f2ea02d403828 | ab6b73cc1bd2501fca5b406a0bcd69b7b8b7f94b | /hackerrank/warm-up/sales-by-match.py | fb602ce970fa16f37a83476ebb9e068e686fa307 | [] | no_license | youngbin-ro/problem-solving | c2a57a4318dc66647a182418d9c07bf0615ff36b | 7b27e44144bc25fd0ad9928eb979c5522ab772d4 | refs/heads/master | 2023-02-05T07:18:34.926633 | 2020-12-21T13:16:08 | 2020-12-21T13:16:08 | 232,480,425 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 348 | py | from collections import defaultdict
def sock_merchant(arr):
dic = defaultdict(int)
count = 0
for num in arr:
dic[num] += 1
if dic[num] % 2 == 0:
dic[num] = 0
count += 1
return count
if __name__ == "__main__":
arr_ = [10, 20, 20, 10, 10, 30, 50, 10, 20]
... | [
"youngbin.ro@gmail.com"
] | youngbin.ro@gmail.com |
caa1a4bff741d96aeec1525edabd69b711687a41 | 4b5b168ab84b4d40d7e7cc58ebc806287e0a8d82 | /tricky.py | 714693cb19a608edcafbec9ebb2a41ea15f87da0 | [] | no_license | gould-ann/challenges- | 5de5f14527f2ee0147514d364f193d78cec6a113 | 4784eb6c3caf494ee24e0e8c587ce626fc026fdd | refs/heads/master | 2020-03-18T18:32:35.402677 | 2018-05-28T03:57:15 | 2018-05-28T03:57:15 | 135,099,855 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 650 | py | #https://www.hackerrank.com/challenges/maximum-subarray-sum/problem
import math #lol
# arr = [1, 2, 3]
# mod_number = 2
# max([sum( [arr[j] if str(bin(i))[2:].zfill(len(arr))[j] == "1" else 0 for j in range(len(arr))] ) % mod_number for i in range(2**len(arr))])
def max_subarray(arr, mod_number):
best_sum = 0
... | [
"anngould@iastate.edu"
] | anngould@iastate.edu |
c8d42762f1ba5f26bd5112890d47ecaef5bed717 | d992f4973bb2aa3c43dce5d4b3483c6212108c60 | /hw1/MachineConstants.py | d31a5e92fb49edff71974ce9b0112e2e8b76759d | [] | no_license | wesshih/astr427 | ece74e5e3ac7275ed50ba6613ed6980a2da6cc8a | b6dc28a02b0712f8e40a5d9ca5e371a660c070f2 | refs/heads/master | 2021-01-18T15:45:50.093209 | 2017-06-08T05:30:08 | 2017-06-08T05:30:08 | 86,681,974 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,939 | py | import numpy as np
'''
Wesley Shih
1237017
Astr 427 Homework 1
4/11/17
Problem 1: Machine Constants
The first problem of the homework asks us to empirically determine several
machine constants related to floating point numbers. These include the smallest number
epsilon that can be successfully added to or subracted ... | [
"wesshih@uw.edu"
] | wesshih@uw.edu |
4bccb67d59f443ca9b1876575c634bd2741ec643 | 0a3b70128f4de8ba3dc74decea6d349924d31907 | /mysite/bin/easy_install-2.7 | 9f3daab08a7378e652e37d5ba6778ad0a331647e | [] | no_license | ozknight/Django_Tutorials_OJT_Proof | 80c38b278b42f2ca72bd05206f84a359b780daeb | 8006ed69be3bae7e666e49c62f517fbd2f454420 | refs/heads/master | 2016-09-06T16:13:58.746020 | 2015-06-24T23:53:40 | 2015-06-24T23:53:40 | 37,992,132 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 291 | 7 | #!/home/oz-knightwalker/Desktop/Django_Tutorials_OJT_Proof/mysite/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from setuptools.command.easy_install import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"ozknightwalker@yahoo.com"
] | ozknightwalker@yahoo.com |
1755b870d7e1acc791f2b3b36cfe6ebb0e6e8cfe | ec3964d765f2a499fd017a4e2fb89d405c3070c9 | /basicapp/models.py | 9358d6cd70b0ab4d7b5c7d1096ec410afe5aa252 | [] | no_license | aryan1jain2/Trycycle | 77476e8e769185db42fc7bb2ecdac6ad1f7c102c | 00e63728fdcc7e8d4ec37964ed4ac8e5f856ad14 | refs/heads/main | 2023-03-02T03:31:55.354309 | 2021-02-13T10:52:10 | 2021-02-13T10:52:10 | 338,552,016 | 0 | 4 | null | null | null | null | UTF-8 | Python | false | false | 2,529 | py | from django.db import models
# Create your models here.
class userinfo(models.Model): #corresponds to customer table
first_name = models.CharField(max_length=100)
last_name = models.CharField(max_length=100)
# reg_no = models.CharField(max_length=100)
# room_no = models.CharField(max_length=100)
u... | [
"aryan1jain2@gmail.com"
] | aryan1jain2@gmail.com |
5bc96ed5b2ff7057cfe5cf0f85b1852e0b311584 | afa0d5a97925273f7fb0befef697d36020df5787 | /packages/google-cloud-alloydb/google/cloud/alloydb_v1beta/services/alloy_db_admin/pagers.py | 1c442de8074c691d92fdefd2aa87e57390df9038 | [
"Apache-2.0"
] | permissive | scooter4j/google-cloud-python | dc7ae1ba6a33a62a40b617b806ec8ed723046b8b | 36b1cf08092d5c07c5971bb46edda7a9928166b1 | refs/heads/master | 2023-04-14T18:36:48.643436 | 2023-04-06T13:19:26 | 2023-04-06T13:19:26 | 188,338,673 | 0 | 0 | null | 2019-05-24T02:27:15 | 2019-05-24T02:27:14 | null | UTF-8 | Python | false | false | 20,951 | py | # -*- coding: utf-8 -*-
# Copyright 2022 Google 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... | [
"noreply@github.com"
] | noreply@github.com |
b1efe20d5ba4c2a9c279544113a1e2bd6cdf7018 | 2432996ac1615cd36d61f0feeff8a359d2b438d8 | /env/lib/python3.8/site-packages/_pyinstaller_hooks_contrib/hooks/stdhooks/hook-eth_hash.py | 1b22c286fe3f7300f269b0ec19044cd2c28cc11a | [
"GPL-1.0-or-later",
"GPL-2.0-or-later",
"GPL-2.0-only",
"Apache-2.0"
] | permissive | Parveshdhull/AutoTyper | dd65d53ece7c13fbc1ead7ce372947483e05e2e3 | 7fabb30e15b770d790b69c2e4eaf9bbf5a4d180c | refs/heads/main | 2023-05-08T14:10:35.404160 | 2023-05-07T20:43:15 | 2023-05-07T20:43:15 | 315,415,751 | 26 | 18 | Apache-2.0 | 2023-05-07T20:43:16 | 2020-11-23T19:13:05 | Python | UTF-8 | Python | false | false | 611 | py | # ------------------------------------------------------------------
# Copyright (c) 2020 PyInstaller Development Team.
#
# This file is distributed under the terms of the GNU General Public
# License (version 2.0 or later).
#
# The full license is available in LICENSE.GPL.txt, distributed with
# this software.
#
# SPD... | [
"parvesh.dhullmonu@gmail.com"
] | parvesh.dhullmonu@gmail.com |
bfcd8e3ab880fe73ecee9e775da43d432b361f6b | 90e131d3f407984c6eb651702c8539986216173b | /transform_content.py | a3ce95a5672e53fece2b5fe04e3f02e34b05a9f6 | [] | no_license | EnVyNm/EnVy | 2333c3f7954b6706527a09aee369bfceff7a1ddb | e12b71a4a6ae716998ecb64e6a4f8b09bb10b6a6 | refs/heads/master | 2020-04-18T22:33:15.011208 | 2014-05-07T03:38:46 | 2014-05-07T03:38:46 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,618 | py | #!/usr/bin/env python
# Copyright 2008 Brett Slatkin
#
# 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 ag... | [
"envynm@gmail.com"
] | envynm@gmail.com |
7f3cd58d2ad66672684040b5b5587e8f52617096 | 1ae6034a53d60bee5c61208539cbb39143ec76e3 | /Motion detection game/ui.py | 5982fe204020dab34a2dd66c4d71613ee9d9a191 | [
"MIT"
] | permissive | harshmalik9423/Motion-Detection-Game | 2f60e77983d8dda746ffb4c7de907f6658dcb2fb | 49ad8c25360df34f4e33647dee7406e6397311de | refs/heads/master | 2022-08-23T12:52:48.089138 | 2020-05-25T10:56:48 | 2020-05-25T10:56:48 | 266,755,583 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,110 | py | from tkinter import *
import cv2
from tkinter import messagebox
import PIL.Image, PIL.ImageTk
window = Tk()
window.title("Welcome")
window.geometry('1500x1500')
########CODING FOR QUIT BUTTON MESSAGEBOX#########
def close_window():
MsgBox=messagebox.askquestion('Quit the game','Are you sure you want to quit the g... | [
"harshmalik2013@gmail.com"
] | harshmalik2013@gmail.com |
ebc97dabe6ba4cd2d87aca268755945115d291e2 | 3447227dd54587eb8c0c7f5346ac158504f7a907 | /compass/ocean/tests/global_ocean/threads_test/__init__.py | 42883b53b746d85a52e069468c8ae411ba7c414e | [
"LicenseRef-scancode-warranty-disclaimer",
"BSD-2-Clause"
] | permissive | MPAS-Dev/compass | 5e2c1525224dd399bcf4f56f661df05e2ec197a6 | 0b7440f0aa77c1ae052922a39e646bd35c267661 | refs/heads/main | 2023-08-30T20:59:52.052430 | 2023-08-29T09:45:14 | 2023-08-29T09:45:14 | 310,409,977 | 10 | 26 | NOASSERTION | 2023-09-13T14:19:16 | 2020-11-05T20:28:25 | Python | UTF-8 | Python | false | false | 2,046 | py | from compass.validate import compare_variables
from compass.ocean.tests.global_ocean.forward import ForwardTestCase, \
ForwardStep
class ThreadsTest(ForwardTestCase):
"""
A test case for performing two short forward runs to make sure the results
are identical with 1 and 2 thread per MPI process
""... | [
"xylarstorm@gmail.com"
] | xylarstorm@gmail.com |
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