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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ae562bd8e340a7cb6fbd929fb318d10161565a0f | bbc2c112c910ff670842f3e911c816bace918a99 | /BookFormProject/BookFormProject/settings.py | 0b20d6039b3745b618837e33b7e0f8db89e7c831 | [] | no_license | dhanyamc97/django_Projects | d73367ce49fdc47205b13b9d85ed4e743f93f7f4 | 78211043bdca92e2f47c25b8a8675b92732d2ae7 | refs/heads/main | 2023-01-09T20:51:09.066316 | 2020-11-08T17:16:30 | 2020-11-08T17:16:30 | 311,112,068 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,165 | py | """
Django settings for BookFormProject project.
Generated by 'django-admin startproject' using Django 3.1.2.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.1/ref/settings/
"""
from... | [
"dhanyamc97@gmail.com"
] | dhanyamc97@gmail.com |
03aad395ebb9bef895b83c7e331bb6ec2a9c6a54 | 7393f7e49aa65e4aa8dd0efb1d4fa82aa706fa0e | /environment.py | 766826e4095e1a6462d779d868b0ad6fb0f62e80 | [] | no_license | hrabit64/Maze_DQN_reinforce_learning | 0759086d679981a5c8560458657465cf83146d00 | b816916a9fbb8403802f8111c2574c2f8bb84f87 | refs/heads/master | 2023-06-24T05:42:18.342534 | 2021-07-19T08:04:44 | 2021-07-19T08:04:44 | 387,384,113 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,947 | py | import tkinter as tk
import numpy as np
import time
import pyautogui
from PIL import Image
class Env(tk.Tk):
def __init__(self, render_speed=0,width = 10,height = 10):
super(Env, self).__init__()
self.render_speed = render_speed
self.epi = 0
self.steps = 1
self.width = wid... | [
"hzser123@gmail.com"
] | hzser123@gmail.com |
28d939d002a35bc02c16215e3fe153a32445d91b | 8726a58628e1d6c8e6e8cba0bb67de80bad72a51 | /wizard/create_data_template.py | 5cfc1efe6cda7e3d4c77f4974c579767e7e5f7b0 | [] | no_license | cgsoftware/jasper_reports | 54a612a44cd94963794b16ab4266026b233b8ba4 | 207bdea1b8738dff88260f4ea76da8b627e05375 | refs/heads/master | 2021-01-10T19:33:22.921656 | 2011-09-06T15:10:39 | 2011-09-06T15:10:39 | null | 0 | 0 | null | null | null | null | WINDOWS-1252 | Python | false | false | 5,766 | py | # encoding: iso-8859-15
from xml.dom.minidom import getDOMImplementation
import wizard
import pooler
import base64
import osv
import string
from tools.translate import _
view_form_start = """<?xml version="1.0"?>
<form string="Create Data Template">
<group colspan="2">
<field name="model"/>
<field name="depth... | [
"g.dalo@cgsoftware.it"
] | g.dalo@cgsoftware.it |
4ab2d1b2588ed24e75a8fd18060032ba278250ad | bd792a49f21d901f14165993d45e114e4df60340 | /venv/bin/futurize | 2a1ba3df470dca8741f0b0ce6790bd1dcee24bdc | [] | no_license | Cynthrial/Serial-read | 82d0883ad4de01fe48e58523d2d0f4bcf97b3835 | eb706094b95b09cfc8870bff0f6385d04d807996 | refs/heads/master | 2020-04-13T13:37:32.380790 | 2018-12-27T02:35:04 | 2018-12-27T02:35:04 | 163,236,705 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 417 | #!/root/PycharmProjects/Serial_read/venv/bin/python
# EASY-INSTALL-ENTRY-SCRIPT: 'future==0.17.1','console_scripts','futurize'
__requires__ = 'future==0.17.1'
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])... | [
"root@localhost.localdomain"
] | root@localhost.localdomain | |
72e353a6734d1e9117e2b2a4dba5f5cb7d955d5b | 73081ee1fdf0dad38ae98afa8bb74a31a594a436 | /observer_hub/video.py | d4b03715223f5caf9865acd53326bfccaf31daf6 | [
"Apache-2.0"
] | permissive | carrier-io/observer-hub | 8b5328e9a3795e020589bc845247b95201a5212e | a79daf743d1279da29e8fb0688895ad63d0f10f3 | refs/heads/master | 2023-07-19T00:36:21.061184 | 2021-09-09T15:19:25 | 2021-09-09T15:19:25 | 285,288,482 | 0 | 0 | Apache-2.0 | 2021-02-19T08:33:37 | 2020-08-05T12:57:43 | Python | UTF-8 | Python | false | false | 1,221 | py | import json
import os
import subprocess
import tempfile
from time import time
from requests import get
from observer_hub.constants import VIDEO_PATH
from observer_hub.util import logger
def start_video_recording(video_host):
start_time = time()
start_recording(video_host)
current_time = time() - start_t... | [
"semen4ik20@gmail.com"
] | semen4ik20@gmail.com |
60b566ffa37d4b8a664568c5090b7a037600e88b | 32c31618ed94d78a3654ddd267632691784663c5 | /fedlab_benchmarks/fedavg/scale/mnist-cnn/mnist_partition.py | a1510a6de907316bb55d38c8f49201faea366612 | [
"Apache-2.0"
] | permissive | roy-ch/FedLab-benchmarks | 2a1f5833b8a519dda76e5f75f9214f02bd556d7a | 725f6453c114a12741b6e7277e96788949576ea6 | refs/heads/master | 2023-08-25T18:42:52.165193 | 2021-10-11T08:31:45 | 2021-10-11T08:31:45 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 474 | py | from fedlab.utils.functional import save_dict
from fedlab.utils.dataset.slicing import noniid_slicing, random_slicing
import torchvision
root = '../../../../datasets/data/mnist/'
trainset = torchvision.datasets.MNIST(root=root, train=True, download=True)
data_indices = noniid_slicing(trainset, num_clients=100, num_s... | [
"928255708@qq.com"
] | 928255708@qq.com |
289cae1e6468e6b0e277c0821edbf38c7de80a92 | 5fa9678b4c37847352ae43af107653ca39d4e2d5 | /chodzenie.py | 1ccb7675db14370dd8c31d0c6c8d9db75410a33d | [] | no_license | wunderbarDeveloper/Gierka | 68e39671cae80261c36ba922bb30ac91cef303de | dbd711566d165300b84d4036478ee0aeb9e4afab | refs/heads/master | 2020-04-29T18:26:07.418685 | 2019-06-16T20:05:10 | 2019-06-16T20:05:10 | 176,324,049 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,231 | py | import os
import pygame
pygame.init()
SIZE = WIDTH, HEIGHT = 600, 600
BACKGROUND_COLOR = pygame.Color('blue')
FPS = 60
screen = pygame.display.set_mode(SIZE)
clock = pygame.time.Clock()
def load_images(path):
images = []
for file_name in os.listdir(path):
image = pygame.image.load(path + os.sep + fi... | [
"Lukasso2015@gmail.com"
] | Lukasso2015@gmail.com |
7b80af63ba4e31916ceecbe57cc05ff3750f51ae | 85bc90e520580d2e4c186f910fc3e0396ee934f7 | /schedule/models.py | d9b47093d0a456ece85a67412d2b60bfd0a392a7 | [] | no_license | ulchm/picks_server | c6abb32220ee18bb1d72398680139b354a092042 | 1f87296538d69b51f2bef75f009e35363d04a5b8 | refs/heads/master | 2021-01-10T02:02:12.993034 | 2016-01-03T14:31:47 | 2016-01-03T14:31:47 | 48,917,543 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,367 | py | from django.db import models
class League(models.Model):
name = models.CharField(max_length=255)
short_name = models.CharField(max_length=10)
is_active=models.BooleanField(default=True)
def __unicode__(self):
return self.name
class Season(models.Model):
name = models.CharField(max_lengt... | [
"mike@norcode.com"
] | mike@norcode.com |
dd8a77fd38ee84af2b84e6bcf6ee5c31652a8548 | 1aec7f1ff9b25bb5e0065bdef34b6773acb1c15a | /PMS/asgi.py | dc743121b9e31e71ee9e7fe7925752145430aefe | [] | no_license | macjade/pms | 35b53cbdcd7e809fad334675ff3b6a8d52108b65 | 7dd46a60d53209ba0ecf73f3b5d3231beaa8639e | refs/heads/master | 2023-07-18T07:51:41.633869 | 2021-08-07T19:23:55 | 2021-08-07T19:23:55 | 393,447,105 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 383 | py | """
ASGI config for PMS 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/3.0/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('DJANGO_SETTINGS_... | [
"jamesdaniel00700@gmail.com"
] | jamesdaniel00700@gmail.com |
ed6631bc58999a9ae4ed3f03dec516046371b6bd | 1dbe05265fd89f5983eafd74681cb4d80540b02d | /Gps_poller.py | 6ee68900b12b9ec47bc77131b513a636a47adec7 | [] | no_license | GwilymNewton/MoonPi | 2d15576a2ee4b50d25a546f68064185ffe86ddb7 | c038829a63384e707b5ca98d94cc6d232fd46b8e | refs/heads/master | 2020-04-11T07:53:30.543672 | 2015-03-06T20:36:17 | 2015-03-06T20:36:17 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,150 | py | #! /usr/bin/python
# Author: Gwilym Newton
from gps import **
import time
import threading
class GpsPoller(threading.Thread):
gpsd = None #seting the global variable
polling_time = 5
def __init__(self):
threading.Thread.__init__(self)
global gpsd #bring it in scope
gpsd = gps(mode=WATCH_ENABLE) #... | [
"gwilym.newton@dur.ac.uk"
] | gwilym.newton@dur.ac.uk |
0f79b5f6017b14b689d663720b17fdf8884f29e5 | a43d1f047c40f29b9fd52ec7ee9f81bd6a6846e3 | /10 Fancy Quotes.py | 5d5295a9bcfbdb011c3120c1057fbd1d31ae1a84 | [] | no_license | RakhshandaMujib/CodeChef-Problems | 00f6d19e7622fe655d783087cb21bbd327763e7b | abe8fac0fc76eeea8a95bc63eb34f6b6ce306704 | refs/heads/master | 2021-06-23T03:49:36.085943 | 2021-06-14T10:42:06 | 2021-06-14T10:42:06 | 201,504,672 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 179 | py | T = int(input())
for _ in range(T):
s = input()
if s == s.lower() or s == ' ':
if 'not' in list(s.split()):
print('Real Fancy')
else:
print('regularly fancy') | [
"noreply@github.com"
] | RakhshandaMujib.noreply@github.com |
958e6cc962347253a2d2217e8fb7795f660d2001 | f0d713996eb095bcdc701f3fab0a8110b8541cbb | /Mkt3yqQMsw9e3Jmjq_4.py | 02def150323524f87c2640e1f03e1201eb361dcd | [] | no_license | daniel-reich/turbo-robot | feda6c0523bb83ab8954b6d06302bfec5b16ebdf | a7a25c63097674c0a81675eed7e6b763785f1c41 | refs/heads/main | 2023-03-26T01:55:14.210264 | 2021-03-23T16:08:01 | 2021-03-23T16:08:01 | 350,773,815 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,137 | py | """
Write a function which, given a permutation of `[0, 1, ..., n-1]` ( `n>0`)
represented by a shuffled list, returns the permutation in _disjoint cycle
form_ as a set of tuples.
A **permutation** is a particular (re)ordering of a set of objects. For
example, `[1,3,0,4]` is a permutation on the 4 objects `[0,1,2,3... | [
"daniel.reich@danielreichs-MacBook-Pro.local"
] | daniel.reich@danielreichs-MacBook-Pro.local |
b2f8b6a8be09dcc36a04d64d3071afeccb3142cd | e683d9ec39667ee5a935551ec086ed5afd48f962 | /mapper.py | 90d9f7e375808e3fae8bd7cfe526e0a192905552 | [
"MIT"
] | permissive | tompollard/dorian | 08b3890acde74dfa226da8cea9a4870265cd12b4 | e9b7276c8a59ba596278a5379f69dc8ce027f3bc | refs/heads/master | 2020-12-24T14:37:05.419666 | 2015-03-24T19:09:50 | 2015-03-24T19:09:50 | 32,338,882 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 247 | py | #!/usr/bin/env python
import sys
import re
def mapper(stream):
pattern = re.compile('[a-zA-Z][a-zA-Z0-9]*')
for line in stream:
for word in pattern.findall(line):
print word.lower() + '\t' + '1'
mapper(sys.stdin) | [
"tom.pollard.11@ucl.ac.uk"
] | tom.pollard.11@ucl.ac.uk |
9c151b3a6ea5ad2faf547932fcbb58f8c96ed5ea | b22588340d7925b614a735bbbde1b351ad657ffc | /athena/Control/GaudiSequencer/share/test_athretrysequencer.py | 019c631baffe73d52c8ae1a6ebcba84383c65e5e | [] | no_license | rushioda/PIXELVALID_athena | 90befe12042c1249cbb3655dde1428bb9b9a42ce | 22df23187ef85e9c3120122c8375ea0e7d8ea440 | refs/heads/master | 2020-12-14T22:01:15.365949 | 2020-01-19T03:59:35 | 2020-01-19T03:59:35 | 234,836,993 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,634 | py | ###############################################################
#
# Job options file
#
#==============================================================
import AthenaCommon.Constants as Lvl
from AthenaCommon.AppMgr import theApp
from AthenaCommon.AppMgr import ServiceMgr as svcMgr
# get a handle on the job main sequenc... | [
"rushioda@lxplus754.cern.ch"
] | rushioda@lxplus754.cern.ch |
25d2fda834a74a7a0bfd09c7a9cb27683426f5a3 | 898fd947dad817d2d70d2390108b9a8d9fcac818 | /api/bls_data.py | ded1aee2b5a9e925f98b4ac6073bce7f32278775 | [] | no_license | N-ickMorris/Stock-Market-Portfolio | 8860085a32e14b43107118309b7c061c449508c5 | 20f804845eb7608b40ae26326b6edc1fcfc4811f | refs/heads/master | 2020-04-06T10:38:20.532899 | 2019-08-14T02:38:47 | 2019-08-14T02:38:47 | 157,386,687 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,241 | py | # This file is a simple wrapper to execute code provided entirely by Brian Dew
# the original code is here: https://github.com/bdecon/econ_data/blob/master/APIs/BLS.ipynb
# data management modules
import pandas as pd
import requests
import json
# a function for collecting unemployement data from the Bureau of... | [
"noreply@github.com"
] | N-ickMorris.noreply@github.com |
147317683cc08fca306d68aa4d573fceacbb5a7b | f51c0d7c19936997076fb94c6b39b6dfbc2c7578 | /basic_states/gesture_states/src/gesture_states/search_wave_sm.py | 7c1be08aac6619c6e5c3c87e80716f31f5a66e7b | [] | no_license | changlongzj/robocup2014 | 16dd0bf82adc87bd3d64df443cbab8ad839505c0 | 505f84b60fa685619cb711a778c2514fe440feec | refs/heads/master | 2021-01-18T08:38:39.329312 | 2014-06-06T14:44:37 | 2014-06-06T14:44:37 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,116 | py | #! /usr/bin/env python
"""
Created on 28/05/14
@author: Chang Long Zhu Jin
@mail: changlongzj@gmail.com
"""
import rospy
import smach
import tf
import tf.transformations as TT
from std_msgs.msg import Header
from geometry_msgs.msg import PoseStamped, Pose, PointStamped, Point, Quaternion
from util_states.topic_reader... | [
"sam.pfeiffer@pal-robotics.com"
] | sam.pfeiffer@pal-robotics.com |
5606b5c260655962cf20f5832309e6fa1fba193e | 077beb02d73045eb97261a1c5e7021bfe709e55c | /tests/new_item/test_invalid_new_item_class.py | 0412c3d225cd16df9a5cc57f7d49be2a1a918cd8 | [
"MIT"
] | permissive | zcutlip/pyonepassword | a91d8491d807c2cede2c483a66872b7913ad3aac | 3ced5acf3667f1af73cad26ae0ef31e8c4b19585 | refs/heads/main | 2023-09-04T03:16:49.170698 | 2023-06-26T19:51:32 | 2023-06-26T19:51:32 | 201,505,055 | 48 | 13 | MIT | 2023-09-05T01:44:18 | 2019-08-09T16:29:56 | Python | UTF-8 | Python | false | false | 619 | py | import pytest
from pyonepassword.api.exceptions import OPInvalidItemException
from pyonepassword.op_items._new_item import OPNewItemMixin
class OPInvalidLoginItemTemplate(OPNewItemMixin):
def __init__(self, title: str, fields=[], sections=[], extra_data={}):
super().__init__(title, fields, sections, extr... | [
"uid000@gmail.com"
] | uid000@gmail.com |
9650486d3c6c5ba56d45045f7903fdcfc4194666 | caaf7723580684886559dedba9a0cfa19036243d | /led_stepper_scan.py | cc1a7797598b5c6cf966e7d924197614e5a642c4 | [] | no_license | mike-fang/led_micro | 27214b5d9e67abd3dbc85c2962be13bb82c83723 | c08105b1cd84836fed2dea11074e1d47d13f099a | refs/heads/master | 2022-11-28T10:46:09.647242 | 2020-08-02T19:44:22 | 2020-08-02T19:44:22 | 275,946,959 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 268 | py | from capture_msi import init_rb
from stepper_control import Stepper
from elp_usb_cam import ELP_Camera
import numpy as np
import time
rb = init_rb()
led_ch = {
'g' : 1,
'b' : 2,
'w' : 5,
'r' : 6,
'o' : 7
}
state = np.ones(8)
rb.set_state(state)
| [
"1michaelfang@gmail.com"
] | 1michaelfang@gmail.com |
aebf3cbd105f56502484732cbb959833a049352b | 6bce631b869a8717eed29eae186688a7fdb7f5c8 | /venv/Lib/site-packages/test/test_stock_price.py | 4ce7f9435eb697392c8e98c7711ab22e0976e446 | [] | no_license | singhd3101/CS5100-Stock-Market-Prediction | 6d43bd39633dd80bb1141dc550302874a5bc0939 | 2804a6270a05155e168d0f2518bcd97f1c9bcb3e | refs/heads/master | 2020-11-26T03:56:02.613630 | 2019-12-19T02:22:13 | 2019-12-19T02:22:13 | 228,958,401 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,286 | py | # coding: utf-8
"""
Intrinio API
Welcome to the Intrinio API! Through our Financial Data Marketplace, we offer a wide selection of financial data feed APIs sourced by our own proprietary processes as well as from many data vendors. For a complete API request / response reference please view the [Intrinio API ... | [
"singh3101div@gmail.com"
] | singh3101div@gmail.com |
ab7703e60847420b5edf20bb002a401ece929af8 | 1db25f324f7b247724a0ec9348cb4f0bd250f2ed | /draw_img.py | e1c8675603a77812b39dc7b726367a9c944a4b5f | [
"MIT"
] | permissive | Animmus/GGanalysis | 135a0381e35437f3f6fb0be2b7330ad35a7668b1 | 68fa70d56e3d5247098c2248b193ff78a9071746 | refs/heads/main | 2023-07-05T07:56:53.937318 | 2021-08-21T14:58:04 | 2021-08-21T14:58:04 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 14,831 | py | from GGanalysislib.UpItem.Up5starCharacter import Up5starCharacter
import GGanalysislib
import matplotlib.cm as cm
import numpy as np
# matplot colormap https://matplotlib.org/stable/tutorials/colors/colormaps.html
img_dpi = 300
save_img = 1
show_img = 0
en_switch = 0
a = GGanalysislib.DrawTransCDF()
text_model = "... | [
"onebst@foxmail.com"
] | onebst@foxmail.com |
860b6bc003f95d019e3d704ddab6810b18da8cad | e04acd829e46389392daccc11cbee68255f9af5e | /practice/ex40.py | 9e4e6e35e6be7b0ea83c5979fc2dff13fd69009c | [] | no_license | mahaocheng/pythonhardway | 9b210c1870e3a67e8ab246b6e6dcb744c66a0444 | f61735ba67b10e54cfc460bb7eb2a88e66001912 | refs/heads/master | 2021-01-11T17:59:05.230962 | 2017-04-11T10:21:27 | 2017-04-11T10:21:27 | 79,890,725 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 446 | py | class Song(object):
def __init__(self, lyrics):
self.lyrics = lyrics
def sing_me_a_song(self):
for ma in self.lyrics:
print ma
happy_bday = Song(["Happy birthday to you",
"I don't want to get sued",
"So i'll stop right there"])
bulls_on_parade = Song(["They rally around the fa... | [
"mahaocheng1985@126.com"
] | mahaocheng1985@126.com |
ce1bfba60b3901fe4e19a9f0980780963272f3b5 | 893c0b6d790ac90467528849e303978d21b58590 | /box/migrations/0002_remove_feedback_level.py | 96f19f5a1b8a386da20eb20498247de771dbb119 | [] | no_license | thevyom1/Human-Resource-Management-software | 553e0a89b507407bdd2636d939b2857e41d17c35 | 4b634fa6b59f2f1de186d7b1d90de03feed452ea | refs/heads/master | 2021-01-17T18:06:41.004474 | 2016-07-04T07:19:43 | 2016-07-04T07:19:43 | 62,538,692 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 378 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.9.4 on 2016-06-28 17:26
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('box', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_na... | [
"aggarwalvyom@gmail.com"
] | aggarwalvyom@gmail.com |
5f4e30912f841b906361f0e772695f3f6d5b2393 | 393a2545700bd2d217dc2fd85a10d1490cfd36dd | /LeetCode/find_min_in_rotated_sorted_array_2.py | b1069020d04be9657e02caf8ad439134cea8b1d7 | [] | no_license | Jfeng3/careercup | 3b12d0c2f5b1b7ef317c32cf38760dad90508995 | 3087e67b8d44ebdca68b6face7c7b6b991f45d70 | refs/heads/master | 2020-05-15T12:03:43.867295 | 2015-01-27T20:55:58 | 2015-01-27T20:55:58 | 29,100,566 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 884 | py | class Solution:
# @param num, a list of integer
# @return an integer
def findMin(self, num):
return self.findMin_re(num,0,len(num)-1)
def findMin_re(self,num,start,end):
if start == end:
return num[start]
if start+1 == end:
if num[start]<=num[end]... | [
"jfeng1115@gmail.com"
] | jfeng1115@gmail.com |
aeec4d590db8b63bc37b31a37eb3508e70cfbbd7 | 6de609b27ba697e01d96475ceebd781f7e007026 | /real_vDjBook/bin/pilfile.py | aa7877828caa081050982eaf5129dda1575303d9 | [] | no_license | raksuns/python_django | e284df049d86574bbf91c3894a61acc550101b9e | 22ce23263f950159c6cf0987c4321c40859f480d | refs/heads/master | 2021-01-12T11:27:40.528274 | 2016-11-28T10:57:25 | 2016-11-28T10:57:25 | 72,931,594 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,689 | py | #!/home/shkim/pyDjango/vDjBook/bin/python
#
# The Python Imaging Library.
# $Id$
#
# a utility to identify image files
#
# this script identifies image files, extracting size and
# pixel mode information for known file formats. Note that
# you don't need the PIL C extension to use this module.
#
# History:
# 0.0 1995-... | [
"raksuns@gmail.com"
] | raksuns@gmail.com |
d9ace0f42c9f2412ddfb11101c3b003020c12154 | 60d6b8501d0be546437b26a6ee1f9fab97ec3897 | /platypush/plugins/bluetooth/_model/_classes/_device/__init__.py | 3e568b84dc311d22699142a42b7c2ca993e4c511 | [
"MIT"
] | permissive | BlackLight/platypush | 68284a85b2f9eef303d26b04530f075927b5834a | 446bc2f67493d3554c5422242ff91d5b5c76d78a | refs/heads/master | 2023-08-31T21:01:53.519960 | 2023-08-29T22:05:38 | 2023-08-29T22:05:38 | 109,421,017 | 265 | 25 | MIT | 2023-09-01T23:15:49 | 2017-11-03T16:56:24 | Python | UTF-8 | Python | false | false | 138 | py | from ._major import MajorDeviceClass
from ._minor import MinorDeviceClass
__all__ = [
"MajorDeviceClass",
"MinorDeviceClass",
]
| [
"fabio@manganiello.tech"
] | fabio@manganiello.tech |
cdfb76942b472660a93bac1e3dc180069042129d | 2dc7cee4cde492d6a7bbe253e95a7b9e9601cc59 | /config.py | 2fb86f6e715e6622bdd67b4132c7c8812a46e1a4 | [] | no_license | qylshy/myproject | 5a7db09553b6e4d4fa21cdb08afc4ee38b6fdefb | 6c0f4f6b5d98df8e192f64e2390f934ced9ffacb | refs/heads/master | 2020-05-28T11:08:54.043512 | 2019-05-28T07:46:08 | 2019-05-28T07:46:08 | 188,979,787 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 672 | py | import os
basedir = os.path.abspath(os.path.dirname(__file__))
class Config(object):
SECRET_KEY = os.environ.get('SECRET_KEY') or 'you-will-never-guess'
SQLALCHEMY_DATABASE_URI = os.environ.get('DATABASE_URL') or \
'sqlite:///' + os.path.join(basedir, 'app.db')
SQLALCHEMY_TRA... | [
"qiuyunlong@bytedance.com"
] | qiuyunlong@bytedance.com |
aa5ce4f7642dc7712a7bdca6f0c2ed9b99d4fdac | d2a9ff16cdbcc97a65ae01cdcd79be4d560ef7c9 | /homework5/db.py | 7d644cfc342b43a270440041a3cc25410afcffe5 | [] | no_license | humantom88/geekbrains-data-scraping | af3d7231f83ceb86992f01956b9d2184aa560b28 | b02d68788be8a4d500b5433ec6a89f5583864061 | refs/heads/master | 2022-11-06T10:14:25.515797 | 2020-06-28T14:08:54 | 2020-06-28T14:08:54 | 268,997,676 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 876 | py | from pymongo import MongoClient, errors
from pprint import pprint
import zlib
client = MongoClient('localhost', 27017)
db = client['mails_db']
mails_db = db.mails
db2 = client['goods_db']
goods_db = db2.goods
def make_hash(item):
return zlib.adler32(bytes(repr(item), 'utf-8'))
def save_mails_to_db(mails_list)... | [
"humantom88@gmail.com"
] | humantom88@gmail.com |
440b99869395c2d799afc7da86ab92b42d80e041 | 42b2533118529ef6050676c7b2832390d0051dba | /kafka_example.py | cbdc29c9ce68776e5bf1de66127fed18b7f50ac2 | [] | no_license | kartikeya-calsoft/mqtt_liota_kafka | 1baf5e95a0684d8a64ab1a80eeb56d5d3d060afe | 041b1e589376af50fa05d3e9506afbd7a8b8f3f9 | refs/heads/master | 2021-05-07T22:51:33.994261 | 2017-10-18T06:28:01 | 2017-10-18T06:28:01 | 107,366,636 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,318 | py | import Queue
import logging
import pint
import string
from liota.dccs.dcc import RegistrationFailure
from liota.device_comms.mqtt_device_comms import MqttDeviceComms
from liota.entities.edge_systems.dk300_edge_system import Dk300EdgeSystem
from liota.entities.metrics.metric import Metric
from liota.lib.utilities.utili... | [
"Kartikeya.Bhatnagar@calsoftinc.com"
] | Kartikeya.Bhatnagar@calsoftinc.com |
79477d7ab3de33f495c52b4c124955dd2490a742 | 5b6ff2aaad93717f68ec9babbee59234536cb6a4 | /AddField.py | 621a27f3ab062cceb94485888e8db269cb33ec7e | [] | no_license | byrash/py | 46db32a29a2fffe1f2c854fd09b3451ee6b5b98d | 8d532585b015d6304dcca3ccda6d82c18f2f57ac | refs/heads/master | 2021-03-22T05:20:55.517051 | 2017-10-25T05:41:25 | 2017-10-25T05:41:25 | 107,758,596 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 459 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Oct 14 13:12:34 2017
@author: Shivaji
"""
import os
import glob
import pandas
def addField(indir="/Users/Shivaji/tmp/extracted"):
os.chdir(indir)
fileList=glob.glob("*")
for fileName in fileList:
df = pandas.read_csv(fileName, sep=... | [
"shivaji.byrapaneni@gmail.com"
] | shivaji.byrapaneni@gmail.com |
2c8f96dfd60e771a4512c4b9b459a21ff197f9ae | e04c3af194afacf7e454eb63a1f917c0df46698d | /MAST/test/workflow_test/workflow_setup.py | 4fecd61563ecda63785f435c50709a593de50be3 | [
"MIT"
] | permissive | kcantosh/MAST | 050716de2580fe53cf241b0d281a84f13175b542 | 4138b87e5a1038eb65023232f80907333d3196f2 | refs/heads/dev | 2021-01-20T16:51:22.759949 | 2017-01-31T16:40:45 | 2017-01-31T16:40:45 | 82,833,665 | 0 | 1 | null | 2017-02-22T17:34:13 | 2017-02-22T17:34:13 | null | UTF-8 | Python | false | false | 4,053 | py | ##############################################################
# This code is part of the MAterials Simulation Toolkit (MAST)
#
# Maintainer: Tam Mayeshiba
# Last updated: 2016-02-08
##############################################################
##############################################################
# Requirem... | [
"mayeshiba@wisc.edu"
] | mayeshiba@wisc.edu |
389ce0bd3e07869ffa7d5d82fc97f0e6114b317e | 1740075fca5d99eee47d8ab10e918be07f544d55 | /catalog/migrations/0002_auto_20191107_1239.py | bd20f9edcd6d8711f45f088ad0c948df3acd2e3a | [] | no_license | Grayw0lf/local_library | 0933bd5d35ef64ee4dc90dd0cdd83686a8eeed3a | 652f0260bfd153138eaee24810685c52f4063b07 | refs/heads/master | 2023-04-30T10:23:38.048841 | 2019-11-13T21:10:09 | 2019-11-13T21:10:09 | 221,551,305 | 1 | 0 | null | 2023-04-21T20:40:05 | 2019-11-13T21:03:49 | Python | UTF-8 | Python | false | false | 688 | py | # Generated by Django 2.2.7 on 2019-11-07 09:39
from django.db import migrations, models
import uuid
class Migration(migrations.Migration):
dependencies = [
('catalog', '0001_initial'),
]
operations = [
migrations.RenameField(
model_name='author',
old_name='date_... | [
"akosheev@rambler.ru"
] | akosheev@rambler.ru |
8eb5717f4d3e6a853f98ec128fe586d28b3c4c9f | 0e29d70a54fa89cb7cb468529c8601d0ddf7b1b5 | /date_migrate.py | 5d78960a9634fe1cc69bd81af1c79ded42e0293e | [] | no_license | BishopJustice/MultiPage | f715d845137ed844d789b705a783b996ddb8f5a8 | fbd3858790485abfb8120618cd936fd94e61d61d | refs/heads/master | 2020-07-03T19:18:09.147296 | 2016-10-24T23:26:20 | 2016-10-24T23:26:20 | 66,682,896 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 722 | py | from app.models import User, Item
from app import db
import datetime
from dateutil import parser
# users = db.session.query(User).all()
# for each in users:
# if each.joined:
# each.joined = datetime.datetime.strptime(each.joined, '%Y/%m/%d %H:%M:%S')
items = db.session.query(Item).all()
# for each in... | [
"luke@lyft.com"
] | luke@lyft.com |
1b6205e42264a320af0acc5001e8365d4e80aa70 | bda9a317e22707e51e1f78f4ffca8205750f6d95 | /mapbox/app/app/app.py | 0e53e92e233cfc15117da47a1e4a8d72a0cba2c2 | [] | no_license | elroypeter/SeniorProject | 0395e8ffc977ea0f917a8525b5b85ca696fcca19 | 238b8e3c091b0294f620e6db68e897d8b8598ec3 | refs/heads/master | 2020-04-05T11:17:04.943758 | 2018-11-05T20:09:43 | 2018-11-05T20:09:43 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 683 | py | from flask import Flask, render_template
from werkzeug import secure_filename
from app import app, db, models
import os, sys, requests
@app.route('/',methods=['GET','POST'])
def my_maps():
# TODO: need to change this to be dynamic
response = requests.get('http://dblayer:80/jsonData/test.json')
return render_templat... | [
"j.a.cochran.cs@gmail.com"
] | j.a.cochran.cs@gmail.com |
1e2657793c46ff5d10baa5dde973f110c7e4b49e | 7b9a792ab61f1308577b0abf38283908ae65ca92 | /config.py | 3e0cf778b1427b4d92af6607c46b8bdabad77d89 | [
"MIT"
] | permissive | amoslgl96/micro_app | ae8543f02d8cd7e80a9a4df9ac8f150a4b088e4e | f300011fe964d6c9f49da24e5e212f546972529e | refs/heads/master | 2021-05-05T16:36:09.714685 | 2018-01-13T18:27:09 | 2018-01-13T18:27:09 | 117,356,918 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,418 | py | import os
basedir = os.path.abspath(os.path.dirname(__file__))
class Config:
SECRET_KEY = os.environ.get('SECRET_KEY') or 'hard to guess string'
SQLALCHEMY_COMMIT_ON_TEARDOWN = True
SQLALCHEMY_TRACK_MODIFICATIONS = False
MAIL_SERVER = 'smtp.googlemail.com'
MAIL_PORT = 587
MAIL_USE_TLS = True
... | [
"baolgl96@gmail.com"
] | baolgl96@gmail.com |
3fe99be4fc9dd1b4475b5099b5f1a26acdddbb8d | f04eed5e6c4499d22fb8e339667267aa59c8dfc7 | /MonteCarloSimDraw8balls.py | a5de8664cb39a1bcd8e359a74ce2f9906b98f320 | [
"Giftware"
] | permissive | shanjgit/previous-work | 4ca7e29e231498891752307ba4b04c9726f0eb67 | 664cc40bd0b97e3adc10f551e18a4a7a62e5a760 | refs/heads/master | 2021-01-19T20:02:57.744302 | 2017-08-24T17:57:55 | 2017-08-24T17:57:55 | 101,217,213 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 699 | py | import random
def drawing_without_replacement_sim(numTrials):
'''
Runs numTrials trials of a Monte Carlo simulation
of drawing 3 balls out of a bucket containing
4 red and 4 green balls. Balls are not replaced once
drawn. Returns a float - the fraction of times 3
balls of the same color were d... | [
"noreply@github.com"
] | shanjgit.noreply@github.com |
00dd467e4af16d74877dc97ac0f1085d681b0a8c | 0b79018d98ca5ae4e4eeae5d7be4bf43381739c4 | /backend/src/scrapper/test.py | b46529b98e1976db4d7152217da18cfa6be877cc | [] | no_license | tsuasian/Dragon-Course-Review | 1560c4da58417eef4e34ce5fa65f2f033800655d | 127e1d3f2fa879b9542eaec54007ce0879aec37c | refs/heads/master | 2023-08-24T15:53:55.246060 | 2021-10-28T08:11:57 | 2021-10-28T08:11:57 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,434 | py | import requests
import bs4
import lxml
import os
import json as json
base_url = 'https://termmasterschedule.drexel.edu'
home_res = requests.get('https://termmasterschedule.drexel.edu/webtms_du/app')
home_soup = bs4.BeautifulSoup(home_res.text,'lxml')
f = open("course_links.txt","w")
"""
What: Extract classes from th... | [
"tchang@gmail.com"
] | tchang@gmail.com |
ac68c34a9df77b38ee0be71b8c371854aa47da18 | 142fd48d2c09bc83ba31b96553fc6d27fad596a3 | /v1/202.happy-number.132775164.ac.py | 76ae51a59bdadd727573d185296fe6de77a038ba | [] | no_license | goalong/lc | baaa8ecc55ecdb136271687d21609832f32ccf6e | 7b45d500e65c759cc2e278d33d9d21925a713017 | refs/heads/master | 2021-10-28T03:40:23.534592 | 2019-04-21T14:29:47 | 2019-04-21T14:29:47 | 111,088,996 | 6 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,284 | py | #
# [202] Happy Number
#
# https://leetcode.com/problems/happy-number/description/
#
# algorithms
# Easy (41.39%)
# Total Accepted: 153.8K
# Total Submissions: 371.6K
# Testcase Example: '1'
#
# Write an algorithm to determine if a number is "happy".
#
# A happy number is a number defined by the following process:... | [
"along@myw-vicdeiMac.local"
] | along@myw-vicdeiMac.local |
696c4f4e21c3eb7fe7ea3890ef830d042a91d421 | c2c86157ae2a4031d79b6f71b3f3cdcad913a87d | /matlabfiles/.svn/text-base/runonebyone.py.svn-base | cad7cd2195024b4366b6e4d261ec8176d6c025ed | [] | no_license | fishdda/Automatic-Radiation-Treatment-Planning-System- | e3875e7d17e96e488c7d678d70da4411213a98c6 | 42eba3a27e62e53907c782f01585abb0de15d7e4 | refs/heads/master | 2020-05-16T16:58:28.804199 | 2014-10-04T16:05:44 | 2014-10-04T16:05:44 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 144 | import os;
cases= [5,25,104,108,113,123,208,30,79];
for c in cases:
cmd = './PrioritizedNlp cases' +str(c)+'.txt';
print cmd
os.system(cmd);
| [
"parastiwari@Paras-Tiwaris-MacBook-Pro.local"
] | parastiwari@Paras-Tiwaris-MacBook-Pro.local | |
18757dc913ff5692065e3d0722d1a414217f341e | ad668acbbbf321db2dcbf2cc5a330387df814531 | /MyEscapades/coordinateCombat.py | e1eaa6b57bfdcf3a8849cd3e205a35842bc8bf56 | [] | no_license | LIHTU/mc_python_files | 65969323866dd87bde3ddc97d47dc2dce7e6642e | d0408eea3adf59249ba0742e4c9101a42eb8e6c2 | refs/heads/master | 2020-12-24T13:16:54.389643 | 2016-03-20T22:00:15 | 2016-03-20T22:00:15 | 35,831,326 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 521 | py | # Coordinate Combat
# In this minigame the user will be prompted to
# defend themself against mobs by entering in coordinates
# for defensive strucutes and weapons, such as fire or
# trap pits, or TNT.
'''
1. figure out if we can turn mobs on, and make them hostile.
2. learn and implement chat commands.
3. Design mini... | [
"robinanelson@gmail.com"
] | robinanelson@gmail.com |
522f7b5624afc3f1cd74452502167aa8d9f5b6d9 | 14be624679f0bd4521989f26263bf1803b2afba5 | /Python3/URI1041.py | ad2c32cc607832a0ec4655cd4e04c6b9a0005934 | [] | no_license | axelaviloff/uri-solutions | 2521e792bbedba23a8320ced3e9c05bf5af8f7e0 | c51b1122b608d65298cff26f3c1ad87ec059e2d0 | refs/heads/master | 2023-05-13T22:17:39.323316 | 2020-10-27T12:37:21 | 2020-10-27T12:37:21 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 362 | py | coordenadas = input()
x, y = coordenadas.split(" ")
x = float(x)
y = float(y)
if x > 0 and y > 0:
print("Q1")
elif x > 0 and y < 0:
print("Q4")
elif x < 0 and y < 0:
print("Q3")
elif x < 0 and y > 0:
print("Q2")
elif x == 0 and (y > 0 or y < 0):
print("Eixo Y")
elif (x > 0 or x < 0) and y == 0:
... | [
"axel.aviloff@estudante.uffs.edu.br"
] | axel.aviloff@estudante.uffs.edu.br |
9d32317d1286c1736e8582adf02d5839dba92f00 | 9246f53f8048e2040f6c40b12fd6e81bf11bce1b | /chapter10/kmeans_sklearn.py | acdaa10443f1f5da396d3791aea808f2b6ff816b | [
"MIT"
] | permissive | damonclifford/Python-Machine-Learning-By-Example-Third-Edition | 3541afefde8de164c3c82a47441f7fb20bbd7f71 | 35f364fd9f7f044771fb750bddf4b6fb101ea89e | refs/heads/master | 2022-12-12T02:50:18.503257 | 2020-09-02T05:48:14 | 2020-09-02T05:48:14 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 791 | py | '''
Source codes for Python Machine Learning By Example 3rd Edition (Packt Publishing)
Chapter 10 Discovering Underlying Topics in the Newsgroups Dataset with Clustering and Topic Modeling
Author: Yuxi (Hayden) Liu (yuxi.liu.ece@gmail.com)
'''
from sklearn import datasets
iris = datasets.load_iris()
X = iris.data[:... | [
"yuxi.liu.ece@gmail.com"
] | yuxi.liu.ece@gmail.com |
8b29ce161cc0486a4b357fc0b7e9a4eff0014b1b | 636e304830d60907c778634df346a42399631e7d | /webots-project/controllers/pos-prediction/predictors/predictor_NN.py | 3c6cc3f45a5ebf2afc72941669fe0e87e7a0dd94 | [
"MIT"
] | permissive | varun-projects/webots-thesis | 8784807b42a35dbe00040c3f903cdd4b86251338 | c18c53b281af6c68431b9b3abde07d1934c37dd9 | refs/heads/master | 2023-01-14T12:16:37.984530 | 2020-10-06T14:00:26 | 2020-10-06T14:00:26 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,443 | py | from keras import models
from keras import layers
import numpy as np
import math
import pickle
import os.path
from keras.models import load_model
class PredictorNN:
def __init__(self, data_collector):
self.percentageTraining = .8
self.dc = data_collector
data = self.dc.get_data_frame()
... | [
"joan.sebastian.gerard@gmail.com"
] | joan.sebastian.gerard@gmail.com |
61e7ac4e48aa441ddac70c7a136199bc95ef0cb8 | 97be97cfc56fb2170b60b91063dbfe5f1449e3c0 | /python/ABC189/D.py | 7e2f46bfedc29c348c5d23cf98f1faf6718dbc94 | [] | no_license | iWonder118/atcoder | 73d965a0a9ade189733808e47634f2b7776aad4b | 3ab7271e838a2903ff0e07f94015ef13c59577e1 | refs/heads/master | 2022-01-25T10:10:55.007340 | 2021-12-31T14:04:54 | 2021-12-31T14:04:54 | 245,155,997 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 77 | py | n = int(input())
logics = [input() for _ in range(n)]
for i in range(n):
| [
"52240372+iWonder118@users.noreply.github.com"
] | 52240372+iWonder118@users.noreply.github.com |
ea646c020a58d6eb93ac0b637c7b9fdd4b435641 | addb7882a96d30c431b40ba33309cbf8f8328894 | /taskgraph/tests/model.py | 26500f3cfe82c33d90c54b6c0e55e7a9e544f7e4 | [] | no_license | mmuddy/taskgraph | 581de61669f6ce56a87c487390a4b2ee3bbfb9ac | 0925dd2f8fd7c83b70a830cc5903366bf2c830ba | refs/heads/master | 2020-04-06T20:02:26.896467 | 2017-01-23T22:22:38 | 2017-01-23T22:22:38 | 68,546,946 | 0 | 0 | null | 2016-12-23T05:27:31 | 2016-09-18T20:58:23 | HTML | UTF-8 | Python | false | false | 6,519 | py | from taskgraph.model.model import *
from taskgraph.tasktracker.getinterface import get_interface
from .settings import tracker_dummy, tracker_redmine
from django.test import TestCase
from django.db import IntegrityError
class TestTracker(TestCase):
def create_tracker(self):
all_trackers = Tracker.object... | [
"yakovlevvladyakovlev@yandex.ru"
] | yakovlevvladyakovlev@yandex.ru |
2a500a425eb1abbc023f928e0a265bbc37889d78 | 64fc5dfec9a6f7b31c224286321899f5103d3983 | /duckworthd/mining.py | f2127b917aeb1fa70482dce7c25ce5b13176311f | [] | no_license | espoirMur/public-DKHQ_GlobalWitness | 68aaaaef52a1b05773ded143060a0c5f45c14c6a | e0b0d2b669faa1cb6b3cc86791ff5ce306c1cfcb | refs/heads/master | 2020-04-17T17:22:23.323979 | 2018-10-11T19:50:42 | 2018-10-11T19:50:42 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 17,678 | py | """Utilities for working with satellite imagery for mining."""
import json
import os
import re
import string
import tempfile
import urllib
import zipfile
from matplotlib import pyplot as plt
import bcolz
import ee as earth_engine
earth_engine.Initialize()
import gdal
import h5py
import numpy as np
import pandas as pd
... | [
"duckworthd@gmail.com"
] | duckworthd@gmail.com |
e72b7714ac7c6c70fcad4cd97133be4a97489a94 | 72a934f4940c4ae77682d45a2d1e8ec5b1e2ff01 | /pro/models/sequential.py | 18d7368dc2b1336ad3c0ea4e895f26cf5c057335 | [] | no_license | dhaval-jain/g1 | 5347160fcf4efc21207fdf9f996a10dd4e0f61e9 | a6d4deb672204b9eaf1efc5c6e0c12f38b5bb906 | refs/heads/master | 2023-03-18T22:49:03.559327 | 2020-11-17T16:59:50 | 2020-11-17T16:59:50 | 346,329,013 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,117 | py | TRAIN_PATH = "C:/Users/meow/PycharmProjects/project1/CovidDataset/Train" # gets the the paths in that folder
VAL_PATH = "C:/Users/meow/PycharmProjects/project1/CovidDataset/Val"
import numpy as np
import matplotlib.pyplot as plt
import keras
from keras.layers import *
from keras.models import *
from keras.preprocess... | [
"inexorable619@gmail.com"
] | inexorable619@gmail.com |
04a6fcd8590335f274756db0927a0e81091f1511 | e4039781ee08c03d32cc5bdfa1d424a4a4f33ac0 | /BO_parser_prot.py | d54edca1049f6dca1df659dea22a86288773161e | [] | no_license | CoderMatthias/ortholog_pipeline | c003a03af94392eb8ce3cab4fc551630d595d456 | 7828d88700004f6dc61fde0c565d48f7c88e2d34 | refs/heads/master | 2021-01-19T12:39:23.897794 | 2015-07-15T19:49:29 | 2015-07-15T19:49:29 | 39,141,896 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,666 | py | #!/usr/bin/python3
import sys
import time
'''
This python script takes the blastp tab-deliminated data and parses it to include unique hits and an additive bit score
Requires: output from blastp, a dictionary to convert FBpp#s to FBgn#s for both Dmen and other D species
Usage: python BO_parser_prot.py blastp_output.... | [
"Matt.Kanke@gmail.com"
] | Matt.Kanke@gmail.com |
4e24c93448376bf4ec8685ec08596212224928a2 | 45c13e4f2204c711c8ddb619a423fa2802df93fc | /blogspace/articles/migrations/0003_article_author.py | 007e5bb909ab9152f422c1cd19343ec87b121f7c | [] | no_license | darklongnightt/blogspace | f7d287cf91e1900893676e4815078e41e7fc4f7f | ba67b4f9a621c5ac4a8cf5c016bdbf0617b40f00 | refs/heads/master | 2020-11-30T10:21:40.397046 | 2019-12-28T14:18:37 | 2019-12-28T14:18:37 | 230,376,202 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 592 | py | # Generated by Django 3.0.1 on 2019-12-28 11:43
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('articles', '0002_article... | [
"toki.1243@gmail.com"
] | toki.1243@gmail.com |
9be50d39d015e172e51c97d330d5fe5035965ef5 | b8e3363a40bc9928ae85c16232c5bf6240597a18 | /out/production/home-assistant/components/switch/tellduslive.py | 7edab40054f51d8807a01fa0c066ed3cb09c138f | [
"MIT"
] | permissive | LaurentTrk/home-assistant | 4cbffd5a71f914e003918542319bc6caa96dbb72 | 5a808d4e7df4d8d0f12cc5b7e6cff0ddf42b1d40 | refs/heads/dev | 2021-01-15T23:02:38.147063 | 2016-05-15T12:21:52 | 2016-05-15T12:21:52 | 51,471,180 | 2 | 0 | null | 2016-02-10T20:49:47 | 2016-02-10T20:49:47 | null | UTF-8 | Python | false | false | 1,832 | py | """
homeassistant.components.switch.tellduslive
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Support for Tellstick switches using Tellstick Net and
the Telldus Live online service.
For more details about this platform, please refer to the documentation at
https://home-assistant.io/components/switch.tellduslive/
"""
im... | [
"laurent.turek_github@gadz.org"
] | laurent.turek_github@gadz.org |
d487e6f13e0f9607074d24d0dcca3b4571ee9366 | 00fac941f4f9e39cda9e3286d5cc1a77bda1d888 | /GetCode.py | 39bd6b4ba3989967c5cbd3a4f5254a2935a566c6 | [] | no_license | bluegray/Sublime-Text-3-config | feb340139f01dd35e63874cb26c5e6515b3368bc | 73428ebd263c60472cb7de64028c559252ed8c5e | refs/heads/master | 2020-04-10T14:00:33.960991 | 2015-05-16T12:06:12 | 2015-05-16T12:06:30 | 33,752,869 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 407 | py | import sublime
import sublime_plugin
class GetSelectionCodeCommand(sublime_plugin.TextCommand):
def run(self, edit):
sel = self.view.sel()
if len(sel) > 0:
charcode = ord(self.view.substr(sel[0].begin()))
msg = "%d 0x%x" % (charcode, charcode)
self.view.set_stat... | [
"bluegray@users.noreply.github.com"
] | bluegray@users.noreply.github.com |
28983ad35bba438daa2553a1003ba96695c3d775 | 745b63bdfb798f88d4f1b7679f435e43e6f2aec1 | /pomodoro.py | 1a109425e5adc3ef44c4f3e24efc89c1d45024fb | [] | no_license | torjeikenes/pomodoro | 009bad75d2f0decca722d892253bd80266cabc85 | 07ccade38090f34b028e1e562c41e7a1bd77c836 | refs/heads/master | 2023-01-13T05:25:52.126481 | 2020-11-25T22:30:49 | 2020-11-25T22:30:49 | 316,047,832 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,070 | py | #! /usr/bin/env python3
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Distributed under terms of the MIT license.
"""
Program for handling pomodoro timers
"""
import json
import argparse
from datetime import datetime, timedelta
import copy
import os
import subprocess
from pathlib import Path
home = str(Path.home())
... | [
"torje.n.eikenes@gmail.com"
] | torje.n.eikenes@gmail.com |
ebfb29af4611b4bc8dec9a2d065d6577a3201c0f | db70c979a9d1002cb2dfe3ea7028957402782fd8 | /tests/test_success_range_below_equal.py | 55f9e2d0ee784cc8aee547cc5960c654ad221f1f | [
"MIT"
] | permissive | Bernardo-MG/wargame_analysis_jupyter_notebook | 739d94b697bf103d0c563d4dcedc9e0fb1890606 | db13838ce0f8c6dcbc160259c1ee0ae258b51ba7 | refs/heads/master | 2022-12-15T12:15:32.798807 | 2020-08-26T06:38:27 | 2020-08-26T06:38:27 | 289,078,376 | 0 | 0 | MIT | 2020-08-26T06:38:28 | 2020-08-20T18:20:02 | Python | UTF-8 | Python | false | false | 8,937 | py | # -*- coding: utf-8 -*-
import unittest
from decimal import Decimal
from scripts.probability import roll_success_range
"""
Max shots script tests.
"""
__author__ = 'Bernardo Martínez Garrido'
__license__ = 'MIT'
class TestZeroToTenBelowEqual(unittest.TestCase):
"""
Tests the chance to go above with the ra... | [
"programming@bernardomg.com"
] | programming@bernardomg.com |
69a73772a221b1d1fc46f63870acf9ab7b9d268f | 76a269c93a79b156240d9a2568bd2eee7258622f | /naive_bayes.py | 28a6c01619e26c4273617271c4be1ed825789eb7 | [] | no_license | omarn33/Spam-Email-Classifier | f6bfeb3e1c66363b49af086004c42bb0d6c4ef2c | 3b52c4fa7dbf45bd1aeabb9fb51183c92af2628b | refs/heads/master | 2023-06-28T10:20:06.620304 | 2021-08-03T04:47:33 | 2021-08-03T04:47:33 | 392,191,798 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,132 | py | # naive_bayes.py
# ---------------
# Licensing Information: You are free to use or extend this projects for
# educational purposes provided that (1) you do not distribute or publish
# solutions, (2) you retain this notice, and (3) you provide clear
# attribution to the University of Illinois at Urbana-Champaign
#
# Cr... | [
"omarnaeem333@gmail.com"
] | omarnaeem333@gmail.com |
013916367cfd1dfcd2bbaf32bb98f24b7cbf6c17 | 273c436a67c50e0128e9f7c181f6a18891b9bac9 | /ModuleWeatherBundle/Resource/WeatherResourceImpl/Cached.py | da5ff27d7bd66cfeb5b8271e13095684a4cf19c5 | [] | no_license | jaepyoung/weather-microservice | 302c52cad82dcb7248a2b1025449bca308e5ef6f | 6818e9ae96817f3e8708b654a7922554441db393 | refs/heads/master | 2021-01-19T13:36:05.398880 | 2015-01-19T08:33:09 | 2015-01-19T08:33:09 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 975 | py | from ModuleWeatherBundle.Resource.WeatherResource import WeatherResource
import json
class Cached(WeatherResource):
def __init__(self, service, cache_redis, cache_ttl = 3600):
super(Cached, self).__init__()
self.service = service
self.cache_redis = cache_redis
se... | [
"athlan@vgroup.pl"
] | athlan@vgroup.pl |
63cd09ad5e4f6c73fabb07766215cf1ea10619ac | 760a806cf48d62f96c32906f2cb2be861ab4eda2 | /venv/bin/python-config | 90275ad6c7c13e606e7fdb5fe45939227bd636f2 | [
"MIT"
] | permissive | francamacdowell/AnalyzeYou | e6339104181012ef196e0ce5d7c537efa21dd1c2 | 3fa6556b621af99543693fc26fa0d784996bd19c | refs/heads/master | 2021-02-23T14:35:41.925987 | 2020-03-06T11:39:30 | 2020-03-06T11:39:30 | 245,402,115 | 0 | 0 | MIT | 2020-03-06T11:33:13 | 2020-03-06T11:26:52 | Python | UTF-8 | Python | false | false | 2,359 | #!/home/macdowell/Workspace/AnalyzeYou/venv/bin/python
import sys
import getopt
import sysconfig
valid_opts = ['prefix', 'exec-prefix', 'includes', 'libs', 'cflags',
'ldflags', 'help']
if sys.version_info >= (3, 2):
valid_opts.insert(-1, 'extension-suffix')
valid_opts.append('abiflags')
if sys.... | [
"fmdss@ic.ufal.br"
] | fmdss@ic.ufal.br | |
2e9630b46c62bf6ed75120e758ba48e9ba4e9aa3 | 2f86ac5ea6b2781c30a031f8e9bb02ccbe4bac57 | /ch05_external_testing_tools_calculator/test.py | ea55796af7459989924e7bc802d143f5f01b570d | [] | no_license | KatharinaWiedmann/module3_Business_Python | 183945bd0017c15f38b5d800fb89a8361bae6860 | fbe4b8ab0a903ea3a713a5f6b79b9dba7cce94c4 | refs/heads/master | 2020-04-18T03:21:54.050910 | 2019-02-07T12:16:51 | 2019-02-07T12:16:51 | 167,195,519 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 942 | py | # -*- coding: utf-8 -*-
"""
Created on Wed Jan 30 09:55:46 2019
@author: Katharina
"""
import unittest
from calculator import Calculator
class TddInPythonExample(unittest.TestCase):
def setUp(self):
self.calc = Calculator()
def test_calculator_add_method_returns_correct_result(self):
# ... | [
"katie.wiedmann@gmx.de"
] | katie.wiedmann@gmx.de |
6f2edb09e5c1f151145ab5c1adacec423009c475 | e452f89c51180487f2ed68c33ca2fed54e14a967 | /1-Python-Programming-Basics (Sep 2020)/Course-Exercises-and-Exams/03_Conditional-Statements-Advanced/01.Lab-04-Personal-Titles.py | 72a970d05c0e96713bf60476264312a5d9ccd0bc | [
"MIT"
] | permissive | karolinanikolova/SoftUni-Software-Engineering | c996f18eea9fb93164ab674614e90b357ef4858a | 7891924956598b11a1e30e2c220457c85c40f064 | refs/heads/main | 2023-06-21T23:24:55.224528 | 2021-07-22T16:15:59 | 2021-07-22T16:15:59 | 367,432,464 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 856 | py | # 4. Обръщение според възраст и пол
# Да се напише конзолна програма, която прочита възраст (реално число) и пол ('m' или 'f'), въведени от потребителя, и отпечатва обръщение измежду следните:
# • "Mr." – мъж (пол 'm') на 16 или повече години
# • "Master" – момче (пол 'm') под 16 години
# • "Ms." – жена (пол 'f') на 16... | [
"Nikolova@eum.root.eumetsat.int"
] | Nikolova@eum.root.eumetsat.int |
ede721e55e9c3c008214b8d056bfb0e827d08a68 | ea55badf6640e807a4ed50190290dfe97db06e6c | /scikit-learn/Iris.py | 8637a2173705c4c36614a414f69cc2576ff10938 | [] | no_license | Natsu-Yuki/PythonCode | 31b7f161c8dfc05ac36a5dec9b9bab9b5f4b5b86 | 0cf856d33b008b811a3747a98a6224e5b3e3af30 | refs/heads/master | 2020-03-29T12:03:20.869303 | 2018-09-22T14:32:41 | 2018-09-22T14:32:41 | 149,882,790 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,891 | py | from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
import pandas as pd
from sklearn.neighbors import KNeighborsClassifier
import numpy as np
iris_dataset = load_iris()
X_train, X_test, y_train, y_test = train_test_split(iris_dataset['data'], iris_dataset['target'], random_st... | [
"ynatsu233@gmail.com"
] | ynatsu233@gmail.com |
2e9784d9f5133d131dcf95aad42a8e25daf9771b | 9f97c42310f47505eda2b5d6be28294dee7f0f15 | /test/functional/wallet_import_with_label.py | 4e5aebfaae9ccc25061c1b6fdfc3a6030877d25e | [
"MIT"
] | permissive | Madurajaya/cicoin | b7bc3cd65ef665e8c23d6787bb732d211b46e4f3 | b48b11574ae38ae063670a755b9d50ef6960e1e8 | refs/heads/master | 2022-04-13T21:04:57.846103 | 2020-04-01T05:30:32 | 2020-04-01T05:30:32 | 296,742,986 | 1 | 0 | MIT | 2020-09-18T22:37:12 | 2020-09-18T22:37:12 | null | UTF-8 | Python | false | false | 4,903 | py | #!/usr/bin/env python3
# Copyright (c) 2018 The Cicoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test the behavior of RPC importprivkey on set and unset labels of
addresses.
It tests different cases in whi... | [
"cicxcoin2@gmail.com"
] | cicxcoin2@gmail.com |
3884eb54e7e03a3ef48250ac38e73501f51b3ad0 | 55b3948a9f3b9ecc55800ee20f703693057d4577 | /code47.py | d168af513bc50186ca75f6fc67ad6ff413de98ee | [] | no_license | bommankondapraveenkumar/PYWORK | 31b1c4edfb3e34a7f4103435f77a25814623b891 | 099bc260b80b1d724d46b714df8c931e037ee420 | refs/heads/main | 2023-01-07T16:52:25.915269 | 2020-11-11T06:40:16 | 2020-11-11T06:40:16 | 311,883,307 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,282 | py | def horoscope():
M=input("enter the month and date :\n")
S=M.split()
month=S[0]
day=int(S[1])
print("YOUR ZODIAC SIGN IS:")
if(month=="december"):
if(day>21):
print("Capricorn")
else:
print("sagittarius")
elif(month=="january"):
if(day>19):
print("aquarius")
else:
print("capric... | [
"noreply@github.com"
] | bommankondapraveenkumar.noreply@github.com |
18a62f5f58f3eacf0f4b6e83ac4fda4770a77484 | a2e638cd0c124254e67963bda62c21351881ee75 | /Extensions/StructuredProductsDealPackage/FPythonCode/SP_ModuleReload.py | ed019b05682e9d07250ac27a96aa65a7a6824bdd | [] | 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 | 2,569 | py |
# Need to add
# Additional Info
# - Participation (DealPackage)
# - CapitalProtection (DealPackage)
# - StrikePricePct (Instrument)
# - BarrierLevelPct (Instrument)
# - ProductQuantity (Deal Package)
# - AccumulatorLeverage
# Exotic Events
# - Initial Fixing
# ChoiceLists
# - AccDec (V... | [
"nencho.georogiev@absa.africa"
] | nencho.georogiev@absa.africa |
5957fddb7c3f6e6aa3a69b0ba94279abc367d105 | d09b14a13e05adcd3d0f1714384b3ab65be4aa7c | /controller/UserRoleManagementDialog.py | 88b9e2a569b3cea650f01750526b2b90f2bedf97 | [] | no_license | ankhbold/lm2 | bd61a353b95d6d8e351cf4b0af48b1b936db8b9f | 30dfbeced57f123d39a69cb4d643a15429b8bfde | refs/heads/master | 2021-07-24T20:57:16.534659 | 2017-11-03T16:33:43 | 2017-11-03T16:33:43 | 90,375,636 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 64,172 | py | __author__ = 'ankhaa'
from PyQt4.QtGui import *
from PyQt4.QtCore import *
from sqlalchemy import exc, or_
from sqlalchemy.exc import DatabaseError, SQLAlchemyError
from sqlalchemy.exc import SQLAlchemyError
from sqlalchemy.orm.exc import NoResultFound
from sqlalchemy import func, or_, and_, desc,extract
from inspect ... | [
"aagii_csms@yahoo.com"
] | aagii_csms@yahoo.com |
46e425071b72856e84300bad5e705cc2c7dff76d | 800b5cd8c3d58b60d80aca551e54af28ec3c9f18 | /code/chapter_05_example_14.py | 81334fc4e4cc158d144cc5ba91bcb59c006f0045 | [] | no_license | CyberLight/two-scoops-of-django-1.8 | 6591347cb20f3c16e252943c04f0f524f8e8b235 | 423971ad609ec9a552617fc4f7424e701295c09b | refs/heads/master | 2021-01-21T03:02:52.704822 | 2015-05-11T16:32:31 | 2015-05-11T16:32:31 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,626 | py | """
Using This Code Example
=========================
The code examples provided are provided by Daniel Greenfeld and Audrey Roy of
Two Scoops Press to help you reference Two Scoops of Django: Best Practices
for Django 1.8. Code samples follow PEP-0008, with exceptions made for the
purposes of improving book formattin... | [
"danny@eventbrite.com"
] | danny@eventbrite.com |
92390ff097f0dc700869fdfc84c2e3606ee46f1d | 2260c05c1fae664b7a6395b6b8e2c5ad5a61eb4b | /driver.py | 66222accfc43a640d831c08077a3bc31dd4579d5 | [] | no_license | roulaoregan/neural_networks | 05bb3e9572303c3b68cdaa2d710645cd5061bf70 | 9a158ab264fd12bb6b5175786d333ea9b574f332 | refs/heads/master | 2021-01-01T19:11:58.407523 | 2014-02-06T00:34:18 | 2014-02-06T00:34:18 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 174 | py | '''
Main driver for Boltzmann machine
'''
import logger
import os
import re
import sys
def main(argv=None):
pass
if '__name__' == '__main__':
sys.exit(main())
| [
"roula.oregan@gmail.com"
] | roula.oregan@gmail.com |
c0c53574fe0228d93d1f83423937147a06d97cef | e177125a896527f0917852db687d8837f41e0ceb | /topoy/either.py | 3b40fc10436242d3c0626a9eaeebf54d11c63df1 | [] | no_license | beezee/topoy | f73fa10eb850ad781c1c507516ced6da19be739d | c56c6627a4430456f1034f4d1b0830c5a654ee52 | refs/heads/master | 2022-07-31T14:29:38.100374 | 2019-11-17T16:59:48 | 2019-11-17T16:59:48 | 219,234,274 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,799 | py | from topoy.applicative import Applicative
from topoy.apply import Apply, tuple
from topoy.monad import Monad
from topoy.hkt import HKT
from topoy.functor import Functor
from topoy.traverse import Traverse
from topoy.typevars import *
from topoy.semigroup import KeepLeft, Semigroup
from topoy.sum import append2sg, bind2... | [
"brian.zeligson@gmail.com"
] | brian.zeligson@gmail.com |
58df714142bc8b34b29e30a57f33a9a9cdc9faf6 | 6ca4a9f5483c754d12cecca3263bdf798a1d3447 | /src/cleaning.py | ab72ec613cfb0b06fb3856da74de64357bba8b6c | [] | no_license | Esaslow/ChurnCaseStudy | 712c37ab13a0c2a9cc2ba1071a5d48d2db665376 | f510f64525ad1b20584e630773376bd233ce96f6 | refs/heads/master | 2021-04-18T21:30:01.159227 | 2018-04-04T05:50:38 | 2018-04-04T05:50:38 | 126,740,944 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,312 | py | import pandas as pd
import numpy as np
from datetime import timedelta
import matplotlib.pyplot as plt
from importlib import reload
from src import cleaning as C
from sklearn.preprocessing import StandardScaler
def clean_city(df):
"""
Input: DataFrame
New columns, the 'city' column to dummy values
Ne... | [
"Elsa7762@colorado.edu"
] | Elsa7762@colorado.edu |
b609de5a340b8ffa5463bb61550b269014cc97d8 | 673d55fe4fee15b4047bf0248f5ab5b8a72e3907 | /face_recognition/face_recognizer_opencv.py | 98e5ed9efda71000ebb7c22af5f5f0330e202bd7 | [] | no_license | manuel-lang/BlackForestHackathon | bfb08e66f59144792c66bd116976037eb0000c51 | d521d553974b1533f567f1e63f50f3f633022e1b | refs/heads/master | 2021-07-12T03:16:46.823216 | 2017-10-09T10:07:58 | 2017-10-09T10:07:58 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,624 | py | import cv2
import os
import numpy as np
lbph_rec = cv2.face.LBPHFaceRecognizer_create()
subjects = ["", "Manuel Lang", "Marius Bauer", "Tobias Oehler", "Jerome Klausmann"]
def detect_faces(img):
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
face_cascade = cv2.CascadeClassifier('lbpcascade_frontalface.xml')
... | [
"manuellang183@gmail.com"
] | manuellang183@gmail.com |
4fe810f0f0f672f8136173ab9c58da8afa0a8929 | a986754144d9f1db1ce5ac6d86c164ae1667ed3e | /cuenta/migrations/0002_auto_20210207_0918.py | 83d183b5e01b44efee8e7e6c538f4a1bf01f5032 | [] | no_license | mateo9516/ChatPublicoDjango | 4b2bcc7eb75ed7fb5a73ab6927bdd2c11bbdc376 | 746c13a3ff48cf69bd3ff1d1f9ea9b24a4e909b0 | refs/heads/master | 2023-03-05T01:28:03.678399 | 2021-02-07T17:43:27 | 2021-02-07T17:43:27 | 336,840,304 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 694 | py | # Generated by Django 2.2.15 on 2021-02-07 14:18
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('cuenta', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='cuenta',
name='is_admin',
f... | [
"mateo.echeverry96@gmail.com"
] | mateo.echeverry96@gmail.com |
0704b14dc207bdeb9c69726cce59cb935ea707cc | b4752cce5d753784c4eb9c742079da6b9df50ab3 | /news_aggregator_api/save_data.py | 94fe61a818410e9c72dd9bddb4623d699044a6ac | [] | no_license | verain1/Conzu | 105458b33719f8e8304d25a74a06c8fd546b5693 | d61441db2af3d05c3b8cbbd01336b3dfc49f9f9f | refs/heads/main | 2023-07-25T08:20:13.186590 | 2021-08-13T19:14:59 | 2021-08-13T19:14:59 | 395,057,912 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 567 | py | from ndtv_scraper import get_ndtv_data # ndtv scraper
from toi_scraper import get_toi_data # toi scraper
import pandas as pd
import numpy as np
import os
import random
data1 = get_ndtv_data()
data2 = get_toi_data()
full_data = data1 + data2
full_data = pd.DataFrame(full_data)
full_data = full_data.dropna()
filter... | [
"anshchadha9211@gmail.com"
] | anshchadha9211@gmail.com |
c913f8fbfe5cfedb9004bb0dd5b99c11a599285b | 485ffbd9a08f72a4ecae63d1695fb82dccc6f195 | /tm/tw3.py | 0b12ecf535fc659e7a489babd72ce638c6387c22 | [] | no_license | ka9epedia/test | 77850d64ae2dc6c1032deebaf43f11b87276da2e | 02b9c43335fc058b9fda936c2b119614c99eb7df | refs/heads/master | 2020-04-17T07:36:12.112061 | 2019-01-18T09:18:07 | 2019-01-18T09:18:07 | 154,784,187 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 14,522 | py | # coding: utf-8
from requests_oauthlib import OAuth1Session
from requests.exceptions import ConnectionError, ReadTimeout, SSLError
import json, datetime, time, pytz, re, sys, traceback, pymongo
from pymongo import MongoClient
from collections import defaultdict
from pprint import pprint
import numpy as np
import unicod... | [
"kagepedia@gmail.com"
] | kagepedia@gmail.com |
965ccfbb787575189bbd405fdd1a466953457af5 | ee7596f2efcf9abf86ff312bb1f0a0f963e7787d | /chunking/main.py | ce4637ab17240a729280d041ed31f638b89aeb96 | [] | no_license | the-league-of-legends/chunk | 8edfb906fbfba0e291bd6adebcf95831d0491d71 | b8d6327c2ebd4a4a41c94d4fb4322c15ff039f4d | refs/heads/master | 2020-06-20T02:59:59.629299 | 2019-07-15T09:34:25 | 2019-07-15T09:34:25 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 14,936 | py | # -*-encoding=utf8-*-
import json
import codecs
import itertools
from collections import OrderedDict
import os
import sys
from itertools import chain
import tensorflow as tf
import numpy as np
from tensorflow.contrib.crf import crf_log_likelihood
from tensorflow.contrib.crf import viterbi_decode
from tensorflow.contrib... | [
"lsvt@lsvtdeiMac.local"
] | lsvt@lsvtdeiMac.local |
620a896d4a884a98be6bc854d50f98a8b7d210d7 | d85fa999d626ccab2523c8c551cc2f7eb100571c | /Task2E.py | 91ec4b688e91583a21c1d8c811c9a09eb5c5d1c4 | [
"MIT"
] | permissive | swan11jf/CUED-Flood-Warning-Project | dcb4f412525b576fe1e8cd89aadf09920d14fe1b | 93636615ee85eb4ed5ba0ef7414bdbedccc0bcb4 | refs/heads/main | 2023-02-01T20:26:21.449331 | 2020-12-21T11:15:18 | 2020-12-21T11:15:18 | 323,312,508 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 732 | py | from floodsystem.stationdata import build_station_list
from floodsystem.stationdata import update_water_levels
from floodsystem.datafetcher import fetch_measure_levels
from floodsystem.flood import stations_highest_rel_level
from floodsystem.plot import plot_water_levels
import datetime
def run():
stations = buil... | [
"noreply@github.com"
] | swan11jf.noreply@github.com |
f0d46ede1b3ecc911d9874cce0d0c7cca9e0d770 | 15f94f7b66d33ca1e80ad2cb2c7821fb3c4ca453 | /DataDash/DataModel/apps.py | 41c9d627581b199ca0003cbc6487fb6cb78ab27f | [
"MIT"
] | permissive | DS921020/AnalysisManager | 570fe2b08ba413e0616a057897c34fd2d4415c22 | e16d6fff807738b644174da73d15ddb2bb9f9ac4 | refs/heads/main | 2023-03-03T14:46:34.718085 | 2020-12-10T05:01:44 | 2020-12-10T05:01:44 | 320,133,997 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 98 | py | from django.apps import AppConfig
class TestmodelConfig(AppConfig):
name = 'DataModel'
| [
"ds110293@163.com"
] | ds110293@163.com |
ffb75083105752e6e34ddf33fd1f369d3dcae145 | 0a8ef50b8dd8e5a843e6fe3e6692eeefbad9fd84 | /Student9Week/Singleton.py | ff48188b22072087709a6281b2f2310b3621f9a3 | [] | no_license | VitaliyKrytsun/Student | 7e84e66e5ea14dbaced6c46a7e9af17d67c981ff | 451cc4dbb4d2fb8f78f63e6a9d712b807d9c74dc | refs/heads/master | 2020-08-17T07:39:01.441525 | 2019-12-10T11:58:17 | 2019-12-10T11:58:17 | 215,633,757 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 963 | py | # metaclass
# class Singleton(type):
# __cls_instances = {}
# def __call__(cls, *args, **kwargs):
# if cls not in Singleton.__cls_instances:
# Singleton.__cls_instances[cls] = super().__call__(*args, **kwargs)
# return Singleton.__cls_instances[cls]
# class A(metaclass=Singleton... | [
"56654633+VitaliyKrytsun@users.noreply.github.com"
] | 56654633+VitaliyKrytsun@users.noreply.github.com |
2159307633408b2e9ff64b9bb7270d5a919c593b | ad5e9d790c564cdf6923670bbf8454f1be88624a | /projects_robotics/cfg/dynamic_ric.cfg | 63113e0c4d6189cce67406622d5ceb4541eb0c45 | [] | no_license | zhangxuelei86/ROS-odometry-car | 677cdaeba5c2aaea014a115c0bfd09f85f32c9e8 | 284d0581dcf5e6a68d164b2e79a93976aa677a3f | refs/heads/master | 2022-04-10T09:30:25.096406 | 2020-03-25T11:12:05 | 2020-03-25T11:12:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 546 | cfg | #!/usr/bin/env python
PACKAGE = "projects_robotics"
from dynamic_reconfigure.parameter_generator_catkin import *
gen = ParameterGenerator()
gen.add("computation_type", int_t, 0, "0 Differential Drive, 1 Ackermann", 0, 0, 1)
gen.add("reset_signal", int_t, 0, "change to reset", 0, 0, 1)
gen.add("change_coordina... | [
"alessia.paccagnella@mail.polimi.it"
] | alessia.paccagnella@mail.polimi.it |
1419006fc8c21bcce2139ded545ad3d7af085e95 | 97379f2f2ab5ffa58ad0bbfbb5a2b1b2bc46d6fe | /modelwrangler/corral/dense_feedforward.py | 22e65f0cfad2e415643b656689bb4bfc3c1256fd | [
"MIT"
] | permissive | brenton-enigma/modelwrangler | 6afffbdf0b929e566adfd4497b60f8c613ef57d5 | 541d3c3267f70ff57a30a8c954b82c039ecff7aa | refs/heads/master | 2021-05-09T20:16:29.687571 | 2017-12-17T18:33:45 | 2017-12-17T18:33:45 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,602 | py | """Module sets up Dense Autoencoder model"""
import tensorflow as tf
from modelwrangler.model_wrangler import ModelWrangler
import modelwrangler.tf_ops as tops
from modelwrangler.tf_models import BaseNetworkParams, BaseNetwork, LayerConfig
class DenseFeedforwardParams(BaseNetworkParams):
"""Dense autoencoder... | [
"bmcmenamin@gmail.com"
] | bmcmenamin@gmail.com |
5c27bedc6a666dd8e3f85a7a92005b76c278ea8c | 51a705c1c3c749cd339ebdfc1997770e9de0f71e | /partie2/partie_2.py | a1844d5e76b369dec7eed1c19e1aa6eb679c29d6 | [] | no_license | jabertSI/Gps-haversin-to-kml | 49c932cadf25fb123d435acdbf3385897d06fc1e | 163e862185e3e1d670ed52c1a6389a06f9f9ec28 | refs/heads/master | 2021-06-12T08:24:45.823195 | 2017-03-10T13:26:44 | 2017-03-10T13:26:44 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,746 | py | from math import radians, cos, sin, atan2, sqrt, ceil
terre = 6371
# LECTURE DU FICHIER
fichier_ville = 'ville.txt'
with open(fichier_ville, 'r') as f:
# Creation liste de liste
lines = [line.strip('\n') for line in f.readlines()]
carnet = [line.split() for line in lines] #Decoupage de la chaine de caracter... | [
"noreply@github.com"
] | jabertSI.noreply@github.com |
dd16775a4926161b4b8d7e6769c6edfd9685d2c3 | b68af7ed59f8cb357abb45cc01c4c90e69d0dac4 | /conftest.py | fd2c2f101438991b85a765037d2097de4b849720 | [
"MIT"
] | permissive | paultro708/DataReduction | fb4197c889f47fb35cd89812c76c3bdde7badf17 | ef63b74f3c93e7eb7887c8bc2f25ce0200460d3d | refs/heads/master | 2023-02-02T06:48:42.691450 | 2020-12-18T11:16:17 | 2020-12-18T11:16:17 | 287,581,390 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,005 | py | import pytest
from tests.const import names, basic_reduction, classifiers
from InstanceReduction.DataPreparation import DataPreparation
from InstanceReduction.Raport import Raport
@pytest.fixture(params=names, scope = 'module')
def data(request):
return DataPreparation(request.param)
@pytest.fixture(params = bas... | [
"32535575+paultro708@users.noreply.github.com"
] | 32535575+paultro708@users.noreply.github.com |
676f594537bc9c7e4d4a487af70a88783494133b | 843cda9d64985676524db33395d8f4439f0cdf50 | /reviews/migrations/0002_auto_20210109_2143.py | 83750986d64ef284cc3a178ca0bfd0128e6f103c | [] | no_license | orangeberry/airbnb-clone | 7bc37f1e0b4af142edf88c38ca84db71a98a9fca | 6d9ecee9a3190f8cee3ae3fcd416261f633ab581 | refs/heads/master | 2023-03-04T11:31:39.685227 | 2021-02-16T16:39:16 | 2021-02-16T16:39:16 | 324,152,827 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 859 | py | # Generated by Django 3.1.4 on 2021-01-09 12:43
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('rooms', '0008_auto_20210109_2143'),
migrations.swappable_dependency(settings.AUTH_U... | [
"orangeberry@kakao.com"
] | orangeberry@kakao.com |
bb3553154a2dbaa5f002445d6690063caaacc7ac | 274b4c50375c2cf62cec65805efade97931ccf18 | /bikeshare.py | 56ceefcd06dabd949286ac737cc8b92733dbd86c | [] | no_license | JonJacobs770/pdsnd_github | 65c65a48bf8bf32266823085d2454005422938c7 | 13f728205001c715de8ef33d98266c4e379588f0 | refs/heads/master | 2022-08-21T10:02:14.425315 | 2020-05-31T11:19:00 | 2020-05-31T11:19:00 | 268,144,699 | 0 | 0 | null | 2020-05-30T19:15:45 | 2020-05-30T19:15:44 | null | UTF-8 | Python | false | false | 11,355 | py | import time
import pandas as pd
import numpy as np
import math
CITY_DATA = { 'chicago': 'chicago.csv',
'new york': 'new_york_city.csv',
'washington': 'washington.csv' }
def get_filters():
"""
Asks user to specify a city, month, and day to analyze.
Returns:
(str) city ... | [
"jonty.jacobs@gmail.com"
] | jonty.jacobs@gmail.com |
42f3d2a0282e52d317b7e91d150c762f62c4d55a | 5bd79964e4770770e972551b017d990036c1c600 | /code/generateMeetings.py | d003722bafaaa4618abe9ee18b10542604c4c14b | [
"Apache-2.0"
] | permissive | IIIF/trc | 8d63fd200927d6ad0170a03d8afc2d97cf193b59 | d7226551a3bd081e9ff7518b8037527f9f041c6d | refs/heads/master | 2021-08-04T11:14:03.504771 | 2021-07-21T22:29:23 | 2021-07-21T22:29:23 | 157,777,140 | 1 | 1 | Apache-2.0 | 2020-12-03T12:36:13 | 2018-11-15T21:50:00 | Python | UTF-8 | Python | false | false | 1,795 | py | #!/usr/bin/python
import sys
from ics import Calendar, Event
from datetime import datetime,timedelta
from dateutil import tz
def timezone(timeInstance, timezone):
return timeInstance.astimezone(tz.gettz(timezone)).time()
if __name__ == "__main__":
if len(sys.argv) != 3 and len(sys.argv) != 4:
print (... | [
"glen.robson@gmail.com"
] | glen.robson@gmail.com |
d5d6859ced095e77ba26501b5cb023a48cdd6535 | 8d6ba22866a97b551de7ecccea75769c055afded | /HW/hw8_q4.py | 496c50712582022223828e7fd6ce1a850528c3bc | [] | no_license | adibsxion19/CS1114 | c52b8815ea3841e0e47a2442cceb5e9c5a81806a | 0425d3d96664ee7a5ef88e146d51759e4a0bf50f | refs/heads/main | 2023-04-10T23:30:31.427021 | 2021-04-06T05:03:50 | 2021-04-06T05:03:50 | 348,604,834 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,354 | py | # Author: Aadiba Haque
# Assignment / Part: HW8 - Q4
# Date due: 2020-04-24
# I pledge that I have completed this assignment without
# collaborating with anyone else, in conformance with the
# NYU School of Engineering Policies and Procedures on
# Academic Misconduct.
def clean_data(complete_data_filename, clean... | [
"noreply@github.com"
] | adibsxion19.noreply@github.com |
58e2029cc20575a0699ac989d2bd2bceb0f0ad0d | 5c14e3a42410b386b8a062ad5c8ef4d35b54c10e | /LabQuestion4.py | b809de618049996ab3598d3ff07ddbd8829a6e23 | [] | no_license | CStratton00/CST-215-Programming-Assignments | ae158504dca1b1dbf85b73cb8f6967f353c6e0ca | cc72b91380dd2dec23ed1adce8461b3d399ce34e | refs/heads/main | 2023-02-27T13:42:29.074624 | 2021-02-10T18:16:06 | 2021-02-10T18:16:06 | 337,812,288 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,303 | py | A = True
B = True
def APT(): return "T" if(A == True) else "F"
def BPT(): return "T" if(B == True) else "F"
def abAND(): return "T" if(A and B) else "F"
def abOR(): return "T" if(A or B) else "F"
def abNAND(): return "T" if(not(A and B)) else "F"
def abNOR(): return "T" if(not(A or B)) else "F"
def abXOR(): return "T"... | [
"noreply@github.com"
] | CStratton00.noreply@github.com |
e0804b03b742211cf22e225595431d99051e0976 | a6ab576fcdb7f7258bf579765c92a664530b6574 | /Exceptions.py | deb9da8256dbc666dff8ca553ac66a4d872c7199 | [] | no_license | ILYSHI/Python-code | 36a7322be62dcda1c3e7949f23fed927657d40fa | ff110688e32be6f91a0fce5d38c2775a062c1225 | refs/heads/main | 2023-01-19T03:55:38.041634 | 2020-11-21T12:45:04 | 2020-11-21T12:45:04 | 314,808,790 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 207 | py | class BadName(Exception):
pass
def greet(name):
if name[0].isupper():
return "Hello, " + name
else:
raise BadName(name + ' is inappropriate name')
print('Import is execution') | [
"termit63@gmail.com"
] | termit63@gmail.com |
967a7bd4f120ca55ba37aef4cb2e8af1f8b53ff8 | 393eb8b5e87de5572e4bd31902c9a42edf91e2f2 | /mysite/home/models.py | 6409d9c97f4d90e5c82308b3d52d593562195328 | [] | no_license | heyyysus/Yeetboard | ea185160e89cd343d360981f96204f44a4eb7b18 | ecd0aaa416a03028b973619b3e4eeb42ea04cf6e | refs/heads/master | 2021-09-29T00:55:38.598684 | 2018-11-22T01:21:35 | 2018-11-22T01:21:35 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,013 | py | from django.db import models
from django.contrib.auth.models import (
BaseUserManager, AbstractBaseUser, User
)
from django.db.models.signals import post_save
from django.dispatch import receiver
class Profile(models.Model):
user = models.OneToOneField(User, on_delete=models.CASCADE)
bio = models.TextField... | [
"jesus.velarde07@gmail.com"
] | jesus.velarde07@gmail.com |
2241916c7d68776e94af575a2559596e236b1ca4 | 6c298f03496560276fb9f478cbefc218ecd24e9a | /VoiceInput/program/lib/voiceinput.py | 7f661347d3c4a859be5930192ef02c22284a2b7f | [] | no_license | koenschepens/OldPhone | 1f3fccd6018e14e779373243a0e90a759a7425f9 | 5ac9247d0c9e08d6af8fb384479c53b48c174aa6 | refs/heads/master | 2021-01-10T08:31:43.368378 | 2016-03-26T19:06:07 | 2016-03-26T19:06:07 | 43,725,567 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,048 | py | import sys
import xbmc, xbmcgui, xbmcaddon
try:
import simplejson
except ImportError:
import json as simplejson
import httplib
__addon__ = xbmcaddon.Addon()
__cwd__ = __addon__.getAddonInfo('path').decode("utf-8")
__language__ = __addon__.getLocalizedString
class InputWindow(xbmcgui.WindowXMLDia... | [
"kschepens@gmail.com"
] | kschepens@gmail.com |
d60cd1bfe7525f7f1d1505b330008095c64c52b2 | 5e59252778f8b6465f6e9c4a1890297624cab8f8 | /shell.py | 15b5a123b00f2886e529971c6a178f4639a69ac8 | [] | no_license | tazjel/rpathcmd | fa62dfed77d56ea100c8f76a035486b2761058ee | 0ebffe639f329665824fdd94d8b5c89ce695f153 | refs/heads/master | 2021-01-16T20:03:25.225459 | 2012-11-05T16:09:17 | 2012-11-05T16:09:17 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,104 | py | #
# Licensed under the GNU General Public License Version 3
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3 of the License, or
# (at your option) any later version.
#
# This p... | [
"tanner.jc@gmail.com"
] | tanner.jc@gmail.com |
bb9382cac06758cde9a8cf0d6815e7c641a53b4e | cfe31cde0d64026925c9a5747216ba83856122d8 | /Sex_Determination/parallel_ASEreadcounter_XIST.py | 630398e4cecd81c226a883b9bbf1f9c81b1d5fbe | [
"MIT"
] | permissive | SViswanathanLab/XIST-Males-Scripts | f8d4fe22dee4d90f8a7a343a1138e721f3e5473a | 4f2a0e281296df1dd86e3c68b13192e3337c1e8a | refs/heads/main | 2023-04-11T05:52:21.329845 | 2022-08-20T22:01:28 | 2022-08-20T22:01:28 | 400,788,194 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,182 | py | #qsub -t 1:86 submit_script.qsub
import glob, os
task_id = int(os.getenv("SGE_TASK_ID"))
temp_path = "download_dir/" #where files are downloaded to
parameters_list = [x[0].split("/")[-1] for x in os.walk(temp_path)]
samples_per_node = 18
val = min(task_id*samples_per_node, len(parameters_list))
parameter_sublist = ... | [
"noreply@github.com"
] | SViswanathanLab.noreply@github.com |
390d44eedc5bd62912d37c37ae5ccbcd9582d8af | 3d6787af8b9bb74b7a80e6b51ea9d64d01455d73 | /opinion.mining.from.online.hotel.reviews.a.text.summerization.approach/models/authorcredibility.py | e18717fcb24c2c86d897c5d80646285928bd5ef2 | [] | no_license | beiranvand-karim/data.mining | bbac24d3ffa93c382cb4b5c250e2d22552d55c8d | 85437e59792c2369581efbe76e0dd0d815f9f4e7 | refs/heads/master | 2020-04-04T23:54:42.834596 | 2018-11-29T12:23:16 | 2018-11-29T12:23:16 | 156,376,046 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 134 | py | from mongoengine import *
class AuthorCredibility(Document):
authorId = ObjectIdField(required=True)
measure = FloatField()
| [
"beiranvand.karim@gmail.com"
] | beiranvand.karim@gmail.com |
ac215caf0b42fede5612998b3aad73bcf7068688 | 468daac37b861ce6e9f7e18f491754ba0acd9818 | /TTTBoard.py | 236ff071bf3cb9086d343156dc5b8c689841942a | [] | no_license | charlesdaniel/Bioloid_TicTacToe | 49ec570bdf5704abf394d0cb567bd6b3c8257b18 | 37b1e45135627fb6513dd5cd3b440566bfd08952 | refs/heads/master | 2016-08-05T14:27:32.220491 | 2011-09-05T13:59:09 | 2011-09-05T14:01:35 | 2,328,502 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,480 | py | ## Import the base TTTPlayer class (we'll need it later to prompt for input)
from TTTPlayer import *
## The TTTBoard is the engine that drives the game. It handles prompting for input from
## any TTTPlayer class (this includes TTTPlayerAI since that inherits from TTTPlayer).
## Additionally this class prints out the b... | [
"charles.sam.daniel@gmail.com"
] | charles.sam.daniel@gmail.com |
f31e15dee4055a30fb9f5aa5ef69fe6ab9a62139 | 734719be1ef3ceb2de58c56949969a76170f65a6 | /binary_tree_max_path_sum.py | 6a260837d8e220f765e80290b5fc20c073aced69 | [] | no_license | raunaqjain/leetcode_solutions | 26e174eb98700951624ca83ab7661dbc35a23729 | a373085712dba7971ff90bc982f3a36dffd14b5a | refs/heads/master | 2023-01-09T02:42:28.871140 | 2020-11-01T01:43:20 | 2020-11-01T01:43:20 | 309,002,412 | 0 | 0 | null | 2020-11-01T01:43:21 | 2020-11-01T01:25:54 | Python | UTF-8 | Python | false | false | 437 | py | class Solution:
def helper(self, root):
if not root:
return 0
left = max(0, self.helper(root.left))
right = max(0, self.helper(root.right))
self.ans = max(self.ans, left + right + root.val)
return max(left, right) + root.val
def maxPath... | [
"jraunaq18@gmail.com"
] | jraunaq18@gmail.com |
38cde75832792f190c10e244e0589cd487f12a03 | 27341bdbb9bc564905f8bbc01604eef9cefe6ca4 | /venv/lib/python3.9/site-packages/sqlalchemy_jsonfield/__init__.py | cbc8ad531207ccddd2148b41318e6364443c230f | [] | no_license | derek-johns/nba-batch-pipeline | fb10ae171e21537d7d83a8ac89c3c2c8b7072f21 | 65898c80c1eea448c75ba07b553b49c7a93837b2 | refs/heads/main | 2023-02-18T16:52:52.192766 | 2021-01-09T20:34:28 | 2021-01-09T20:34:28 | 328,239,908 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,213 | py | # Copyright 2016 Alexey Stepanov aka penguinolog
# 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 app... | [
"d.johnson13879@gmail.com"
] | d.johnson13879@gmail.com |
a98c0f87c5e54efc98415dca9576d0bcecc3346f | aae551baa369fda031f363c2afbdf1984467f16d | /Machine_Learning/Programming_Assignments/CS15B001_PA3/Code/q2/bernoulli.py | 59000649f234d836785dc85871bffe40b30ef448 | [] | no_license | ameet-1997/Course_Assignments | 37f7d4115baec383ccf029772efcf9c33beb2a23 | 629e9d5cfc6fa6cf37a96c5fcc33bc669cbdc59d | refs/heads/master | 2021-05-16T16:23:32.731296 | 2018-02-03T05:57:01 | 2018-02-03T05:57:01 | 119,939,202 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,114 | py | import pandas as pd
import numpy as np
from scipy import sparse
import os
import functions
import time
from sklearn.model_selection import KFold
from sklearn.metrics import precision_recall_fscore_support
from tabulate import tabulate
from sklearn.naive_bayes import BernoulliNB, MultinomialNB
from sklearn.metrics impor... | [
"ameetsd97@gmail.com"
] | ameetsd97@gmail.com |
3fc4cd0005e2760cac083464668dae41e0b0d4f9 | f8b585a7132343a5da159d32966111fedd39e3d8 | /LogDefer.py | 509ca98e9057c2cf37db6a77a433b52e419dcccd | [] | no_license | mikep/LogDefer | 54e471ca5d607a51547691599af86d44f96aa3b4 | e12de81eba399a433410196605f3b66643dc0833 | refs/heads/master | 2016-09-06T20:07:22.536529 | 2013-12-22T00:50:08 | 2013-12-22T00:50:08 | 15,367,887 | 1 | 2 | null | null | null | null | UTF-8 | Python | false | false | 4,065 | py | import json
import os
import re
import time
__version__ = "0.1.0"
class LogDefer(object):
"""
Generate log object conpatible with log-defer-viz
https://github.com/hoytech/Log-Defer-Viz
"""
def __init__(self, options={}):
self.levels = (40, 30, 20, 10)
self.message = {
... | [
"michael.pucyk@gmail.com"
] | michael.pucyk@gmail.com |
5ba300fb8fe455146525b436819e316a5e780da1 | 163bbb4e0920dedd5941e3edfb2d8706ba75627d | /Code/CodeRecords/2811/61132/294777.py | 4cbb3ce02f1703d0fb35813ef04ff2bc5e50a6e3 | [] | no_license | AdamZhouSE/pythonHomework | a25c120b03a158d60aaa9fdc5fb203b1bb377a19 | ffc5606817a666aa6241cfab27364326f5c066ff | refs/heads/master | 2022-11-24T08:05:22.122011 | 2020-07-28T16:21:24 | 2020-07-28T16:21:24 | 259,576,640 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 237 | py | p,n=map(int,input().split())
l=[]
for i in range(n):
l.append(int(input()))
dic={}
for pos,i in enumerate(l):
key=i%p
if dic.get(key,'')=='':
print(pos+1)
break
else:
dic[key]=i
else:
print(-1) | [
"1069583789@qq.com"
] | 1069583789@qq.com |
9361bb61cd85e87954f06cd6e55599d0840b2082 | efd9c0d47e94dbac8e6e700f45c2f7747ded094b | /Email_Template/Email/migrations/0003_auto_20181023_1457.py | 2f8bca92437323d6af215b43d5f72c3c90b616eb | [] | no_license | SoumyaPuj/EmployeeDatabaseRequirement | dd1b2f21c13f47835e7390c3f831f5d96ef611b6 | d9b3fe22e2327af67aaf6e8d47e50dea30aa01c5 | refs/heads/master | 2020-04-04T19:04:52.513386 | 2018-11-05T11:32:13 | 2018-11-05T11:32:13 | 156,191,071 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 362 | py | # Generated by Django 2.1.2 on 2018-10-23 09:27
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('Email', '0002_auto_20181023_1456'),
]
operations = [
migrations.RenameModel(
old_name='Email_Design',
new_name... | [
"noreply@github.com"
] | SoumyaPuj.noreply@github.com |
6afef4ba6551705e3a2732735b93faeda61ffeb7 | 63d302d31105ed9ce059d12d8d13b48c633e58a3 | /part03-e13_read_series/src/read_series.py | 16f604eab227a190338497ad9349a6497d0d7493 | [] | no_license | doyu/hy-data-analysis-with-python-summer-2021 | 55ccc3a089d3865bd1ae89b92c9e1784c44e1935 | 1a34983d2c3b9a20473d16209ba8a74f9d68daf2 | refs/heads/main | 2023-08-22T02:14:05.785821 | 2021-09-29T11:41:59 | 2021-09-29T11:41:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 592 | py | #!/usr/bin/env python3
import pandas as pd
def read_series():
serie = pd.Series([], dtype='object')
line = input()
value_list = []
index_list = []
while line != "":
try:
line = line.split()
value = line[1]
index = line[0]
index_list.append(in... | [
"hiroshi.doyu@gmail.com"
] | hiroshi.doyu@gmail.com |
841b47896afe9f1263de4f58ffd78c05f3001e4a | a78ddbca5c691acc739cfb65d5914fcf27bf06cb | /DataFilter.py | 04facf6863c268b8ae4239019bc6dc52e8d41c76 | [] | no_license | yangshuoc/pku_SVT_plus | 4620355bace7fdd2ea96f18255698ac1f0f98dea | fd67d945526631c821a092fb0585a801dc94d7f4 | refs/heads/master | 2020-03-24T17:20:51.686792 | 2018-08-02T01:20:59 | 2018-08-02T01:20:59 | 142,855,721 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,889 | py | import csv
import random
# DATA_FILE = 'data.csv'
# MISS_TAG = 0
# MISSING_ROW_NUM = 900
# MISSING_COL_NUM = 6
DATA_FILE = 'vocab_vector.csv'
MISS_TAG = 0
MISSING_ROW_NUM = 200
# MISSING_COL_NUM = 70
MISSING_COL_NUM = 50
# DATA_FILE = 'svt_matrix.csv'
# MISS_TAG = 0
# MISSING_ROW_NUM = 70
# MISSING_... | [
"noreply@github.com"
] | yangshuoc.noreply@github.com |
3c1b9ff25bff83a5b2ab154d29fca1246527a50a | 5a18af4dd1eb7244ed6b75b8a59c29f7360cf468 | /pose_regression/models/top_models.py | 077581c48b4e505abe1ebd662626cb4a4f5d9cca | [] | no_license | asiron/deep-camera-relocalization | b585ef1b3ce63b307fcc57979eaf01462268a82c | 9277826c605be9a28deff81261dbc68b721c7ae4 | refs/heads/master | 2020-03-18T22:19:36.813331 | 2018-10-20T20:36:01 | 2018-10-20T20:36:01 | 135,338,870 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 5,466 | py | from keras.layers import (
Dropout, Dense, LSTM, ELU, GRU, CuDNNGRU, CuDNNLSTM, Lambda,
TimeDistributed, Activation, Bidirectional,
Reshape, Concatenate, PReLU, BatchNormalization)
from keras.regularizers import l2
from .layers import QuaternionNormalization
import keras.backend as K
import tensorflow... | [
"maciej.zurad@gmail.com"
] | maciej.zurad@gmail.com |
78b7821eb4c330884d87322bb2e9c99f8af8f6d8 | acf2d43575f4be1fc97d0368073e338188e8bfae | /1_twosum.py | 9383da9effb20171eb6ecb6763371d53564f67f0 | [] | no_license | mingshaofeng/leetCode | 87e6011285168eabdcfad89a445c371aad1d0f46 | 0fbf165d4ff25a879db81c8958c191fa4728701f | refs/heads/master | 2020-12-31T08:47:12.951354 | 2020-02-08T12:26:28 | 2020-02-08T12:26:28 | 238,958,568 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 611 | py | '''
Given an array of integers, return indices of the two numbers such that they add up to a specific target.
You may assume that each input would have exactly one solution, and you may not use the same element twice.
Example:
Given nums = [2, 7, 11, 15], target = 9,
Because nums[0] + nums[1] = 2 + 7 = 9,
return [0... | [
"1812611764@qq.com"
] | 1812611764@qq.com |
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