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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7b57a819c8050165d39822e26efb9a39926a2dc9 | 52b979c22057c06f12c7b84e4b9d3b52d3aa01db | /17340027-姚洁倩-p2/test.py | aceb539f2754eb560d2e5dc42a4a5c5ab8cbb443 | [] | no_license | EssieYiu/Python | c845866f3312ebe7927f4d19b55c5d119c2d850b | 9f2e66882bfe1ddb8d98f213c5e227e0f3148f6e | refs/heads/master | 2023-04-15T03:42:37.205622 | 2019-07-17T15:44:47 | 2019-07-17T15:44:47 | 180,075,367 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 123 | py | def error():
raise ValueError
if __name__ == "__main__":
try:
error()
except:
raise ValueError | [
"31929622+EssieYiu@users.noreply.github.com"
] | 31929622+EssieYiu@users.noreply.github.com |
9b1a6b196b0755fa7bff3b62d8a6d7f89638b11f | b9a9f1d9a3ef5871b6bd3835e5f2c8f78d79654d | /python/matrix.py | 7092a8ca4eedcf7d38d5afc1456621f1acfe90fa | [] | no_license | Dreamer-WangYiQiang/ExtendedKalmanFilter | d09c0283c2cce1210f702506ea4b6b4e4da7729c | 177a79258f80d187b7056fce48e81450a47b7d30 | refs/heads/master | 2022-04-10T15:00:37.196774 | 2017-06-13T14:46:27 | 2017-06-13T14:46:27 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,774 | py | """matrix class from Udacity robotics course"""
from math import *
class matrix:
# implements basic operations of a matrix class
def __init__(self, value):
self.value = value
self.dimx = len(value)
self.dimy = len(value[0])
if value == [[]]:
self.dimx = 0
... | [
"wilbur@MacBook-Pro.local"
] | wilbur@MacBook-Pro.local |
30fff796f8fcfc32f7125d4357b9e6bb99834655 | 9222711ab110cf180997e8b3af8e784ebd4ebf9c | /Message.py | 317ece43fd5ba1d8df5508bfa254fa92fe0925d2 | [] | no_license | MaxHXie/twittersentiment | e2184786b8f256f29abdc4ab5eb6792a1f8f5d63 | 18b6b2884f3a72a7974caa478456671245128f89 | refs/heads/master | 2020-04-17T09:23:25.299362 | 2019-01-19T18:53:59 | 2019-01-19T18:53:59 | 166,455,712 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,536 | py | #Now we want to make a class for each datapoint, i.e. messages
import re
from nltk.stem import WordNetLemmatizer
from nltk.tokenize.casual import TweetTokenizer
from nltk import pos_tag
from nltk.corpus import wordnet
import copy
class Message:
def __init__(self, text, true_sentiment=None, n=2):
try:
... | [
"noreply@github.com"
] | MaxHXie.noreply@github.com |
613e5477e30db6c4b12634643777cb4c219c3749 | 8cc910f12ccacd2926a1b26a4f2e10d107a99c8b | /bots/tejbot1.py | 87bc56f743d27dc573f4d13f7273138df56bbeb2 | [] | no_license | gkanwar/pokerbots2018 | a25f8e9e0e3eceb093363a5fbfee40d3fdc2d671 | ce7632c8cd98d1e2971b5e67d6ba2c63daa3c396 | refs/heads/master | 2021-06-03T09:54:59.220651 | 2021-01-23T06:05:02 | 2021-01-23T06:05:27 | 136,264,598 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,785 | py | import sys
import random
card_map = {'J': 0, 'Q': 1, 'K': 2, 'A': 3}
# simple probs for bets
pbet = [0.0, 0.0, 0.5, 1.0]
def get_msg():
return sys.stdin.readline().strip()
def get_msg_named(name):
msg = get_msg()
assert msg == name
def get_field():
return get_msg().split(': ')
def get_field_named(name... | [
"gurtej@mit.edu"
] | gurtej@mit.edu |
8f3fd56d7fcc53dff4b0a0f3e9943652e4108514 | 9e70af68afebb05e66381e4f6a978eb1b7589c46 | /mywork/testsurface.py | 9c9f460c955f27a1e39564e43c413a7f23928d5c | [] | no_license | OuYangMinOa/space-Physic | cbca14b3948ac204c35327fbb9cc6ab9eb704d76 | e8e6ec7379a8cecb944add6dbbbee213dae1b018 | refs/heads/master | 2022-11-11T08:09:59.844261 | 2020-06-28T20:14:24 | 2020-06-28T20:14:24 | 275,657,789 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 745 | py | import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
import numpy as np
from netCDF4 import Dataset
import os
m = Basemap()
m.drawcoastlines()
m.fillcontinents()
m.drawparallels(np.arange(-90,90,30),labels=[1,1,0,1], fontsize=8)
m.drawmeridians(np.arange(0,360,30),labels=[1,1,0,1], rotati... | [
"noreply@github.com"
] | OuYangMinOa.noreply@github.com |
82e414689a322c8ca38f282d715bc5d4643919dd | 03437ed05cb3af69634d7c845d59cdeac479029a | /dashboard.py | 1e5f1316706e7db975754ea684c19830f6b53142 | [] | no_license | theotheo/whooshhack | 0ff4d9bc17a01ed2757b40a9e90ab8772822f45d | e5710eac8fea5bcbfa413496cba28fc520f9ceba | refs/heads/main | 2023-06-25T03:58:43.568016 | 2021-07-18T16:31:48 | 2021-07-18T16:31:48 | 387,151,076 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 440 | py | # %%
from keplergl import KeplerGl
map_ = KeplerGl(height=500)
map_
# %%
map_.add_data(data=gdf_lines, name="segments")
# %%
import geopandas as gpd
gpd.read_file('sample_route2.json')
# %%
points = gpd.read_file('points_sample.json')
map_.add_data(data=points, name='points')
# %%
map_
# %%
with open('kepler_conf... | [
"ibelyalov@yandex.ru"
] | ibelyalov@yandex.ru |
56a5981bb2b820c0c1889dba526616846c4b1fb6 | 2afb28eabc992f4f3fec48f0ec91be7459a51a31 | /flask/models/knn.py | 9a39613331e9a5ae7ecbbda59501f4ef0e85e8c7 | [
"MIT"
] | permissive | LanceZhu/deep-learning | d3088d40d4c7f04ee82d23c339d46ac69a222bab | a1d8554397844ab097e1ae89686acb6d4dcc524d | refs/heads/master | 2023-02-04T10:14:26.634857 | 2020-12-24T06:57:52 | 2020-12-24T06:57:52 | 315,268,712 | 0 | 0 | MIT | 2020-12-05T14:28:49 | 2020-11-23T09:48:57 | Python | UTF-8 | Python | false | false | 574 | py | # -*- coding: utf-8 -*-
import pickle
from torchvision import transforms
input = open('models/state/knn.pkl', 'rb')
clf = pickle.load(input)
input.close()
def transfrom_image(image):
transform = transforms.Compose([
# transforms.Resize((28, 28)),
# transforms.CenterCrop(28),
transforms.ToTensor(),
t... | [
"2937443168@qq.com"
] | 2937443168@qq.com |
504ef30ee0168bc45ae83697c4235349baea0e97 | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p03636/s442033431.py | c0c4bfde22c431f0bcb92965231ba4426799433b | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 107 | py | strings = list(input())
str_len = len(strings)
print(strings[0] + str(str_len - 2) + strings[str_len - 1])
| [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
db51449844ace1e60c6dbd69885b32550e1fbfec | 67bb016404d1edbbe6e5c7e630d60131dac8fd54 | /modules/system/modules.py | ee6c81e1ad3fa956e69768d42dcb4f74e79c4b60 | [] | no_license | switchswap/discord-senko | ad6a6def1a3fe70c3bae3616a33242aba4e9e307 | b525cb7f9ffc90cffa75edb05673f81a39adc209 | refs/heads/master | 2022-01-06T22:15:19.617826 | 2019-04-26T16:54:12 | 2019-04-26T16:54:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,765 | py | import traceback
from discord.ext import commands
from discord.ext.commands import ExtensionError
from core.util.globals import module_dir
class Modules(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.group(name='module')
async def module_group(self, ctx):
if ctx.invoked... | [
"Jannis.Becker@stud.hshl.de"
] | Jannis.Becker@stud.hshl.de |
e2a883be7a61493ac52b48a563af686087b2640a | 9dba277eeb0d5e9d2ac75e2e17ab5b5eda100612 | /19100101/sundyyang/d11_training1.py | 1583902d982bb0769ab8ae4731fc7504566a7143 | [] | no_license | shen-huang/selfteaching-python-camp | e8410bfc06eca24ee2866c5d890fd063e9d4be89 | 459f90c9f09bd3a3df9e776fc64dfd64ac65f976 | refs/heads/master | 2022-05-02T05:39:08.932008 | 2022-03-17T07:56:30 | 2022-03-17T07:56:30 | 201,287,222 | 9 | 6 | null | 2019-08-08T15:34:26 | 2019-08-08T15:34:25 | null | UTF-8 | Python | false | false | 875 | py |
# day 11
import requests
import getpass
import yagmail
from pyquery import PyQuery
from mymodule import stats_word
# 提取微信公众号正文
response = requests.get('https://mp.weixin.qq.com/s/pLmuGoc4bZrMNl7MSoWgiA')
document = PyQuery(response.text)
content = document('#js_content').text()
# 应用 stats_word 方法提取前100个词
day11 = s... | [
"6396023+realcaiying@users.noreply.github.com"
] | 6396023+realcaiying@users.noreply.github.com |
5f3434db4874c48ac89e9ef698be689a2749935d | 48730c1fcacffd5ada10c6074fbc096e0ce354c9 | /sabcli.py | cff26e65217ffc5a457fc1b51fadd49c8d603159 | [] | no_license | TobiasTheViking/sabcli | d1e8daea1cf686cb78e1983f555bc868810fda1f | 11ecd604c3a76f78bb5f6dcd4fb714275e3da2c3 | refs/heads/master | 2020-05-18T10:51:13.562988 | 2013-04-24T17:38:56 | 2013-04-24T17:38:56 | 9,624,084 | 7 | 0 | null | null | null | null | UTF-8 | Python | false | false | 27,806 | py | #!/usr/bin/env python
''' Command Line Interface for sabnzbd+
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.
... | [
"gh@tobiasussing.dk"
] | gh@tobiasussing.dk |
35bfbf1eff018366c3caf857dbf59ab9b9487ae2 | abdc7868bc1c788f86ce261e162181cce2c434ee | /app/src/auth/routes.py | 8325a61a9ee4d06ff272e57932458f842f96a315 | [] | no_license | felipefujioka/shared-pool | 0b0e6419cf2acd143c24e89ce0c7dd40cd863164 | faa55462e7d45e42bdf30817212fe4bb6fb0a8a4 | refs/heads/master | 2021-07-09T14:52:15.416093 | 2017-10-11T03:24:39 | 2017-10-11T03:24:39 | 106,208,699 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,110 | py | import flask
from main import app
from db.util import session
from auth.models.user import User
from auth.models.password_credential import PasswordCredential
import scrypt
import decorators.validate
import os
import errors
create_user_schema = {
"type": "object",
"required": [
'name',
'email'... | [
"felipefujioka@gmail.com"
] | felipefujioka@gmail.com |
7086db00aaf5f716ceea92538aadd40b33777e8e | d6e481f8dea60a0814888b47f540be375771b758 | /train.py | 3e7d7744033e0a558dba13ac2991ab04125d344e | [] | no_license | Gogs2/Depression-Detection-in-Reddit-Posts | 2d6185d65ce10d67cb321fb8d6aadf88a4ee6711 | 6570a776160bbbbf257c1efbc95b706663a3991a | refs/heads/master | 2020-08-07T13:27:51.150881 | 2019-10-07T19:24:33 | 2019-10-07T19:24:33 | 213,468,784 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,239 | py | import pandas as pd
import collections
import numpy as np
from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer
from sklearn.metrics import recall_score, precision_score, accuracy_score, f1_score
from sklearn.utils import class_weight
from keras.models import Sequential
from keras.layers import ... | [
"gjorgji.chepujnoski@gmail.com"
] | gjorgji.chepujnoski@gmail.com |
bd453b1be551ac68730e7f3d719b9c710a458ed0 | a5a49c0dadc7cf42800c7004cb2324416aed671c | /fakecsv/urls.py | 1e73f8da05cb7a77d32ace2bcbadc0085295da12 | [] | no_license | imanov21/csv_gen | 6064f778df9d40b942a5c1c07868fd3312d554af | 23ee39340606954c50f64745b33ffb9efaa69a65 | refs/heads/master | 2023-05-28T18:05:26.021467 | 2021-06-10T14:22:23 | 2021-06-10T14:22:23 | 375,718,064 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 958 | py | from django.urls import path
from fakecsv.views import DataSchemasListView, \
DataSchemaDeleteView, DataSchemaCreateView, DataSchemaUpdateView, \
data_sets_view, generate_csv, download_csv, check_task_status
urlpatterns = [
path('', DataSchemasListView.as_view(),
name='data_schema_list'),
pat... | [
"antony.imanov@gmail.com"
] | antony.imanov@gmail.com |
2b7b1e3cfa9dbc03cc1d297534895c8a4362ab7a | 3fa27b3ad1c1ca90f2bcf311d89fe8c2ca241cb4 | /Location/models.py | 86164283ca0e8eeb3356a4bbbb87c92cee61e3a0 | [] | no_license | emperorDuke/django-backend-for-ecommerce | 717e15d7be899abcd5a4b7a7d2203c612f001aeb | 83c1ca4d016d876a5c8711ac5cdc448d5a4a533d | refs/heads/master | 2023-02-10T08:57:17.852721 | 2021-01-02T15:49:07 | 2021-01-02T15:49:07 | 271,039,012 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 869 | py | from django.db import models
from django.utils.translation import gettext_lazy as _
from phonenumber_field.modelfields import PhoneNumberField
# Create your models here
class Location(models.Model):
address = models.CharField(_('address'), max_length=100, blank=False)
city = models.CharField(_('city'), max_l... | [
"effiomduke@gmail.com"
] | effiomduke@gmail.com |
a5dfe239bc5a69803127534a8d77267c8a7e6705 | 2307893a2b706d3e3e387cb5f20117213460fc21 | /Exercises/Module 05/exercise_33.py | c894365e2e769d909613264428b94517d486702a | [] | no_license | caiquemarinho/python-course | a5e3447b676365e5f49297a51830ce5fee089199 | 2863f77dff77712422d0f60adf00483806fcc040 | refs/heads/master | 2023-06-09T10:53:44.988594 | 2021-06-21T13:28:04 | 2021-06-21T13:28:04 | 378,922,409 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 802 | py | """
Receive a product and change it's price according to the table.
0 - 50$ -> 5%
50 - 100 -> 10%
100 + ->15%
"""
print('Insert the product price')
product = float(input())
# Finding out the new price of the product.
if product < 50:
new_price = product+(product*0.05)
elif (product >= 50) and (product <= 100):
... | [
"caiquealfonso@gmail.com"
] | caiquealfonso@gmail.com |
1c7014d54f9884059212afadf8db1114596f9b5d | 5d43552534b89c81e57e0c04c59af5c94b223d71 | /studentinfoproject/testapp/migrations/0001_initial.py | 62296d817476b2000e9135829959dd80ebfaf74a | [] | no_license | Prachithakur27/Django | d9fee9ac4647c75e0a22f2dd7256e73d9591fc2f | 7e1d7cd8f8a65d0ba711ef1937538749497b4231 | refs/heads/master | 2023-01-02T07:49:35.084678 | 2020-10-31T15:08:18 | 2020-10-31T15:08:18 | 286,936,309 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 799 | py | # Generated by Django 3.0.8 on 2020-08-15 20:06
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Student',
fields=[
('id', models.AutoField(... | [
"prachi.pthakur27@gmail.com"
] | prachi.pthakur27@gmail.com |
634479c49cc8bd8a070f9692c2ad94c1f8c9c7f0 | 2b71e4b33896bde83aa9daa3c56042505cb63220 | /xeri.py | e6015eabaf3a920f04a261cc1d89382d8b259d24 | [] | no_license | xarkouts/xeri-se-python | 9fea568ac4b1509c5db8ef94361ec6d1adf375f6 | 5c0720d571bb55cf1454e9026f070f02ac124d30 | refs/heads/main | 2023-05-08T02:31:30.286608 | 2021-05-23T21:51:05 | 2021-05-23T21:51:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,384 | py | import random
katigories={"Σπαθι","Κουπα","Καρο","Μπαστουνι"}
fila={1,2,3,4,5,6,7,8,9,10,"Βαλες","Νταμα","Ριγας"}
trapoyla={(k,f) for k in katigories for f in fila}
del katigories
del fila
trapoyla=list(trapoyla)
xeri1=[]
xeri2=[]
trapezi=[]
paixtis=2
kerdismena_1=[]
kerdismena_2=[]
def mirasma(t=False)... | [
"noreply@github.com"
] | xarkouts.noreply@github.com |
85075fe45559a79929a08d27a2d5af734d36dc76 | abd70ecf747decdd24077b544657642f6b07cdee | /method/utils/adjustAccounting.py | f5963fee92b58c259c3476bde88a3eca5c59a669 | [] | no_license | mokusen/chms | 3925ffeb52d7f3b314682a80ede0c1d9d7e951d5 | 60144b224b82464d1c7014b9bfcb6502e94b47d1 | refs/heads/master | 2020-04-09T02:30:52.792981 | 2019-01-09T15:05:45 | 2019-01-09T15:05:45 | 159,943,760 | 0 | 0 | null | 2018-12-29T04:49:10 | 2018-12-01T12:46:49 | Python | UTF-8 | Python | false | false | 570 | py | def adjust_accounting(adjust_list):
"""
sql側に渡す前に型変換を行う
Parameters
----------
adjust_list : list型
[id, use, money, year, month, day]
Returns
-------
adjust_list : list型
[id(int), use(str), money(int), year(int), month(int), day(int)]
"""
adjust_l... | [
"kikawa.tech@gmail.com"
] | kikawa.tech@gmail.com |
1da1fd2e67831c1909851618b9f0eaf85642ad9e | 3b451e8de359659a1648b95f86372549f29a193c | /super_z_avg_across_songs.py | b70e68647b04cb7f39162ec24336c5be45ffe3df | [] | no_license | jamalw/music_event_structures_bucket | 33dc0c5ffba46ab5a978a04268f88103148d2476 | 8ad5e9b2d767a3771cc618c061fbcb22f942cd51 | refs/heads/master | 2022-08-22T00:20:45.859935 | 2022-08-15T14:48:22 | 2022-08-15T14:48:22 | 126,224,420 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,313 | py | import numpy as np
import sys
import os
import nibabel as nib
import glob
import scipy.stats as st
datadir = '/jukebox/norman/jamalw/MES/prototype/link/scripts/data/searchlight_output/HMM_searchlight_K_sweep_srm/'
nii_template = nib.load('/jukebox/norman/jamalw/MES/subjects/MES_022817_0/analysis/run1.feat/trans_filte... | [
"jamalw@princeton.edu"
] | jamalw@princeton.edu |
5a4f5930ce92934a8286651c8650f298be3f3fb1 | 9c03b9188b711097fb40c2170626ac762b3d9aaf | /python3/mymodule_demo.py | dc80ee27f1d36287a6decc400a9009bbcfc1f352 | [] | no_license | andrewnezhivy/learn_python | 9e92a826864b1876f5f24aff47b980b4ecc25c93 | 6f37d32469ed84681c05afaf34cade4eb411f3d8 | refs/heads/master | 2020-12-03T02:45:14.690632 | 2016-09-02T02:50:58 | 2016-09-02T02:50:58 | 66,676,448 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 80 | py | import mymodule
mymodule.say_hi()
print('версия', mymodule.__version__)
| [
"andrew.nezhivy@yandex.com"
] | andrew.nezhivy@yandex.com |
06f0db0e55ef80709480a68ce7ca0c408e0efc04 | c73f1e73c937e556c96b072d99019b7af94d113f | /P1/UDPServer.py | 6d9dab5ba29a78b3bdd7b6de3e92862e6c909a09 | [] | no_license | sicsic1997/Retele-Tema2 | 33c24c0e715a2374ce0442048a006e1038bb9f08 | 21b2f912a78ddfb56b4e7240ac10af7fe12dbe46 | refs/heads/master | 2020-03-18T20:20:40.841762 | 2018-05-28T21:12:10 | 2018-05-28T21:12:10 | 135,209,115 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,055 | py | from socket import *
import pickle
import hashlib
import sys
import os
import math
import time
serverIP="0.0.0.0"
serverPort=10000
serverAddress=(serverIP, serverPort)
serverSocket=socket(AF_INET,SOCK_DGRAM)
serverSocket.bind(serverAddress)
serverSocket.settimeout(3)
print "Ready to serve"
#initializes packet variab... | [
"vlad.coteanu@mindit.ro"
] | vlad.coteanu@mindit.ro |
3203acaae91aa63994c898368f666ee31aab675b | d0d31ff386f0295075a786ad15c04c171fc979cb | /weeklyc/database.py | 884b6e609d5898e2d8753b96e0244ea7ba22bcac | [] | no_license | ewitz/EPA_Water_App | e5c2770b983f9e47ca837e5c61ec55be3657e447 | 8b644cefc70a03ddb5734692eda661b7dbe5271e | refs/heads/master | 2020-05-26T02:30:26.424241 | 2013-06-07T19:23:11 | 2013-06-07T19:23:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,523 | py | from sqlalchemy import create_engine
from sqlalchemy.orm import scoped_session, sessionmaker
from sqlalchemy.ext.declarative import declarative_base
engine = create_engine('sqlite:///weeklyc.db', echo=True)
db_session = scoped_session(sessionmaker(autocommit=False,
autoflush=Fa... | [
"emilliot@mail.usf.edu"
] | emilliot@mail.usf.edu |
093ee2463b1a86d455d7fd106f214c73722c2ee1 | 503d2f8f5f5f547acb82f7299d86886691966ca5 | /atcoder/abc172_a.py | b5c6641365ed028613ce1898499a4b6fd7f432d3 | [] | no_license | Hironobu-Kawaguchi/atcoder | 3fcb649cb920dd837a1ced6713bbb939ecc090a9 | df4b55cc7d557bf61607ffde8bda8655cf129017 | refs/heads/master | 2023-08-21T14:13:13.856604 | 2023-08-12T14:53:03 | 2023-08-12T14:53:03 | 197,216,790 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 751 | py | # https://atcoder.jp/contests/abc172/tasks/abc172_a
# import sys
# def input(): return sys.stdin.readline().rstrip()
# input = sys.stdin.readline
# input = sys.stdin.buffer.readline
# from numba import njit
# from functools import lru_cache
# sys.setrecursionlimit(10 ** 7)
# @njit('(i8,i8[::1],i4[::1])', ca... | [
"hironobukawaguchi3@gmail.com"
] | hironobukawaguchi3@gmail.com |
480869005801ed9c8f1556d209302349a88fc7b2 | 68381f1b06f056f8c897723e2f1a06fcd7c0215c | /notebooks/data_tools.py | 790087d7786f7d530fdba440e7a954ffb21a7832 | [] | no_license | djzelenak/lcmap-science | fa0632d82cd59fa65eba351db4a2cb980bf19f3a | 79c37ec77ca1e4154a6e529712cf71cb9487f681 | refs/heads/master | 2020-12-13T10:14:00.447787 | 2019-06-10T15:18:00 | 2019-06-10T15:18:00 | 234,386,798 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,332 | py | """Some helpful functions for working with TAP-exported data"""
import sys
import warnings
import datetime as dt
import pandas as pd
import numpy as np
from collections import OrderedDict
# warnings.simplefilter('ignore')
mask_values = (1, 96, 112, 160, 176, 224, 352, 368, 416, 432, 480, 864, 880, 928, 944, 992)
d... | [
"dzelenak@contractor.usgs.gov"
] | dzelenak@contractor.usgs.gov |
c78b87a98e2583ddb065568d9450bf3ea41e6846 | f0db1e2d4a48bfa745edf3a7b817eb6ff8a9ea4a | /test.py | 01a12cd20b363f6f23ce534c58d2eea35608c181 | [] | no_license | AlainBBenoist/GoogleAnalytics | 15a7a0e9d73544a2bbdff6dfdc561f4b2eaf7911 | a52de78e1ae652c24d44b0bacdd1a7b5ed4aff8f | refs/heads/master | 2023-08-22T03:20:55.325180 | 2021-10-01T13:29:44 | 2021-10-01T13:29:44 | 410,386,159 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,876 | py | # Google libraries
from oauth2client.service_account import ServiceAccountCredentials
from apiclient.discovery import build
class GAReporter() :
def __init__(self, keyfile) :
self.credentials = ServiceAccountCredentials.from_json_keyfile_name('analytics-dibutade.json', ['https://www.googleapis.com/auth/an... | [
"alain.b.benoist@gmail.com"
] | alain.b.benoist@gmail.com |
63f0d8e6153c3ec5586eebed9a64301c1e43753b | 2985230e6542361c1a63ff4bea0283951f256599 | /setup.py | f7fed0d0b923b39819d1a0339aa179b360100e97 | [] | no_license | Stonesth/TOS-3087 | 7053c486e87e91d35bd1f15748d3e5e23348f742 | 8c4fd5c3d5f45751f77eba67d6aac1f21c3f711a | refs/heads/main | 2023-02-26T11:13:08.338497 | 2021-02-01T15:35:48 | 2021-02-01T15:35:48 | 334,964,558 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 163 | py | from cx_Freeze import setup, Executable
setup(
name = "tos-3087",
version = "0.1",
description = "",
executables = [Executable("tos-3087.py")]
)
| [
"pierre.thonon@gmail.com"
] | pierre.thonon@gmail.com |
7135c0afb6b60fbba69ff48e0365b1ccc6c5dcdd | a21d9303e155fdb9845d67f0a888b70a9cd95d51 | /api/serializer.py | 943d43f63eeef0a362803fb204eca85f09acf12c | [] | no_license | saisai/Implementation_logger | dafa188507b64a3776b9228d37c22ae20a5a87f2 | 373f233cebf64a8c7dba8a0d75812f6480fbe61a | refs/heads/master | 2020-08-05T22:52:52.295716 | 2019-10-04T05:31:06 | 2019-10-04T05:31:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 661 | py | from rest_framework import serializers
from api.models import *
class groupSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = group
fields = ('groupName', 'config')
class devicesSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = devices
... | [
"jdejonge@protonmail.ch"
] | jdejonge@protonmail.ch |
44978164b8c3e675e86d3cda878b105b9f15fec3 | 5edf9d401178bbf8839119904a8998f8bc676293 | /minesweeper/minesweeper.py | 6e8c52045ff76ecbe7899a756cdb841842017f5d | [] | no_license | cheikh93/MES_PROJET_IA | 33a22c8c4223340e89811cc12c8b4e7675ec99aa | ae230402a1469adfda3dcdd3faf1181795261b4e | refs/heads/main | 2023-06-05T06:16:13.820961 | 2021-06-29T00:03:31 | 2021-06-29T00:03:31 | 348,394,031 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,505 | py | import itertools
import random
class Minesweeper():
"""
Minesweeper game representation
"""
def __init__(self, height=8, width=8, mines=8):
# Set initial width, height, and number of mines
self.height = height
self.width = width
self.mines = set()
# Initializ... | [
"noreply@github.com"
] | cheikh93.noreply@github.com |
4a13df491ffd209b82623d757ca0aafda56fb96b | 02fc29f7c9f4fd6cbe3a6afbbef1554fb0e7a3ca | /genienlp/model_utils/optimizer.py | 123188628fbaed151cbeb5440050586a280ffac2 | [
"BSD-3-Clause"
] | permissive | stanford-oval/genienlp | 8f8f14924dc379e413de4e37ae206ed0a391e8cc | 8ad64f6d20f45b31c8d1de262570ecc840316c58 | refs/heads/master | 2023-07-14T01:59:30.072402 | 2023-04-04T18:19:57 | 2023-04-04T18:19:57 | 237,029,113 | 82 | 24 | NOASSERTION | 2023-06-26T13:57:29 | 2020-01-29T16:26:43 | Python | UTF-8 | Python | false | false | 3,349 | py | import math
from functools import partial
import torch
from transformers import (
Adafactor,
AdamW,
get_constant_schedule_with_warmup,
get_cosine_schedule_with_warmup,
get_linear_schedule_with_warmup,
get_polynomial_decay_schedule_with_warmup,
)
def get_transformer_learning_rate(i, *, dimensi... | [
"mehrad@stanford.edu"
] | mehrad@stanford.edu |
70020790ef3e5c40c205d85214c30921aa11259a | d0f78233d2436c7976256171696af005ce085118 | /blogs/api_urls.py | 46e09ada4938bbe11ce755bc0f6cd5b136e8b913 | [] | no_license | mvelezserrano/wordplease | 487cfccea864b6f4d3cd14b20d1c86760748ed5f | 37c7507082d7df14c256a73f5124561dcc16c8fc | refs/heads/master | 2021-01-16T18:44:25.180055 | 2015-07-26T20:41:01 | 2015-07-26T20:41:01 | 39,739,170 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 527 | py | # -*- coding: utf-8 -*-
from blogs.api import PostViewSet, CreatePostViewSet, BlogViewSet
from django.conf.urls import include, url
from rest_framework.routers import DefaultRouter, SimpleRouter
# APIRouter
router = DefaultRouter()
router = SimpleRouter(trailing_slash=False)
router.register(r'blogs/(?P<user>[A-Za-z0... | [
"mvelezserrano@outlook.es"
] | mvelezserrano@outlook.es |
63dacef7d72dc5d5511e9f17298d93a569363f34 | 3e3444911c9771186034a2ee68f3f3eae6dfdd4d | /binarySearch.py | b30f5bf6dbf0cb7ffaff7b71e21c653efc5e1f9b | [] | no_license | ChristopherParke/FunWithAlgorithms | d3ab9ad59b40d5ab7901cbeb408beb840453496a | 44b09c8e8a9034b2662df181211c86c483d48834 | refs/heads/master | 2022-02-14T06:54:08.204590 | 2019-09-04T00:09:39 | 2019-09-04T00:09:39 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 843 | py | import math
primes = [2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47, 53, 59, 61, 67, 71, 73, 79, 83, 89, 97]
xmin = 0
xmax = len(primes) - 1
target = 67
iteration = 0
def binarySearch(primes, xmin, xmax, target, iteration=0):
"""
This search method is the binary search method. It is a common algorit... | [
"christopherparke@zoho.com"
] | christopherparke@zoho.com |
ded348637281439cb1638b6252d242ecc3bfbddc | 1aa49533c27f114840b528d9ab71dc7322120da0 | /utils.py | 31bce31e3917f3045269b2590ecdaeb448ca4fee | [
"MIT"
] | permissive | yassineAlouini/image-recognition-as-a-service | a18afb2a99dd1d9e3da3e90086d8dbb9d3289bc9 | c85502cdb3828e128415a92cb0564671f038cca8 | refs/heads/master | 2020-09-05T06:53:57.373156 | 2017-12-26T10:07:12 | 2017-12-26T10:07:12 | 94,414,726 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 259 | py | import logging
logger = logging.getLogger()
handler = logging.StreamHandler()
formatter = logging.Formatter(
'%(asctime)s %(name)-12s %(levelname)-8s %(message)s')
handler.setFormatter(formatter)
logger.addHandler(handler)
logger.setLevel(logging.DEBUG)
| [
"yassinealouini@outlook.com"
] | yassinealouini@outlook.com |
e8bb363682e5f8e63ac0e56a986076f1e43f91b6 | 7722c0c2d616af965124120c76bed472900d48bf | /build/pi_io/cmake/pi_io-genmsg-context.py | 093469fa89dd16ff069e8425074390da5c5219da | [] | no_license | EdisonAltamirano/Turtlebot_Mapping | f1cfb190b5a239d0e0bb4932e766cce1ec6c42ba | cfb98058745e5fbf84b2388254dbad2d045362ef | refs/heads/master | 2022-11-13T11:48:27.915328 | 2020-07-06T00:02:45 | 2020-07-06T00:02:45 | 276,209,053 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 602 | py | # generated from genmsg/cmake/pkg-genmsg.context.in
messages_str = "/home/edison/turtle_ws1/src/pi_io/msg/gpio_input.msg"
services_str = "/home/edison/turtle_ws1/src/pi_io/srv/gpio_output.srv"
pkg_name = "pi_io"
dependencies_str = "std_msgs"
langs = "gencpp;geneus;genlisp;gennodejs;genpy"
dep_include_paths_str = "pi_i... | [
"a00825234@itesm.mx"
] | a00825234@itesm.mx |
3a332e60dcd0d31aa40dd5f4b190704f255a6135 | 9d484077026b7fcf26188d77281f573eaec1f1d3 | /scripts/adhoc/dendrogram_cuts.py | fef1177f5d92df2b34a79f14c35a9204d2660122 | [] | no_license | gaberosser/qmul-bioinf | 603d0fe1ed07d7233f752e9d8fe7b02c7cf505fe | 3cb6fa0e763ddc0a375fcd99a55eab5f9df26fe3 | refs/heads/master | 2022-02-22T06:40:29.539333 | 2022-02-12T00:44:04 | 2022-02-12T00:44:04 | 202,544,760 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 582 | py |
plt.figure(figsize=(10, 4))
ax = plt.gca()
hierarchy.dendrogram(z, no_labels=True, color_threshold=0., above_threshold_color='k')
ax.axis('off')
plt.tight_layout()
plt.savefig('methyl_dendrogram_%dcuts.png' % 0, dpi=200)
for i in range(2, 7):
c = clustering.dendrogram_threshold_by_nclust(z, i)
plt.figure(figs... | [
"gabriel.rosser@gmail.com"
] | gabriel.rosser@gmail.com |
ee86cc6478906dfe72ddb3e9b8b4af23f8613796 | 01532ebb2bb5721a4191765faa6edffebfab9464 | /gen_data_V-Z.py | eab540e355fc189673e0fa784b0721899ad4b64a | [] | no_license | sarc007/2-OpenCV_3_KNN_Character_Recognition_Python-master | bb52c6d5776b17fd4337579299519e989146ac11 | 6f2f2e139ce2c4182cae8db1f36b67e4f498b9f4 | refs/heads/master | 2022-12-13T02:07:59.443287 | 2019-10-22T10:26:41 | 2019-10-22T10:26:41 | 213,817,682 | 0 | 0 | null | 2023-09-06T23:34:26 | 2019-10-09T04:04:00 | Python | UTF-8 | Python | false | false | 2,389 | py | # Pythono3 code to rename multiple
# files in a directory or folder
# importing os module
import os
import cv2
import numpy as np
from skimage import io
import h5py
# Function to generate mnist data from images
def main():
src_dir = "E:\\OPEN_1\\V-Z"
dst_dir = "E:\\OPEN_1\\data"
data_file = dst_dir +... | [
"maazansari11@gmail.com"
] | maazansari11@gmail.com |
92c8a0f78906a2f80b77ac6550c0ec6dda1495c7 | 9df2fb0bc59ab44f026b0a2f5ef50c72b2fb2ceb | /sdk/videoanalyzer/azure-media-videoanalyzer-edge/azure/media/videoanalyzeredge/_generated/models/_azure_video_analyzerfor_edge_enums.py | 35371307bdbb6776cf7c3d240b1ac8a296876400 | [
"MIT",
"LGPL-2.1-or-later",
"LicenseRef-scancode-generic-cla"
] | permissive | openapi-env-test/azure-sdk-for-python | b334a2b65eeabcf9b7673879a621abb9be43b0f6 | f61090e96094cfd4f43650be1a53425736bd8985 | refs/heads/main | 2023-08-30T14:22:14.300080 | 2023-06-08T02:53:04 | 2023-06-08T02:53:04 | 222,384,897 | 1 | 0 | MIT | 2023-09-08T08:38:48 | 2019-11-18T07:09:24 | Python | UTF-8 | Python | false | false | 8,408 | py | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | [
"noreply@github.com"
] | openapi-env-test.noreply@github.com |
21bc8422cad06b064ce9d777977c5ed65f260aa3 | 465ef9a288d5902348e930a8f1193acfacd64127 | /alerts/alerter.py | a8ffafcf1c1df22e9b7e11ff61d3297283db01d3 | [] | no_license | syffer/ineedanapartment | 4b876b6fa2461e2402645735a57d44ce1a91399c | 2c0430d1c3b4b9d90040812292f8702c8e36414c | refs/heads/master | 2022-12-08T09:46:44.805570 | 2020-08-30T17:46:37 | 2020-08-30T17:46:37 | 289,482,517 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 146 | py | # coding: utf-8
class Alerter(object):
def alert(self, locations):
raise NotImplementedError("subclasses must override this method")
| [
"maxime.nicolas2@hotmail.fr"
] | maxime.nicolas2@hotmail.fr |
5562336d1e9f8350768f81a204bd1b9ce5e6dcb9 | f8b8b485b8d29a01a81c1bfbc631a496a3a88a02 | /app/authentication.py | 8b1eac797d7e714b87a085d772e5ee81e47eb25c | [] | no_license | samuelquitiang/guane-intern-fastapi | 2ca061ba8d496685a57ed17814c5ecf17972b36c | f83302ddf0871aa938dfe4972f2dd05c0150c4dd | refs/heads/master | 2023-04-09T17:11:18.098223 | 2021-04-09T22:12:40 | 2021-04-09T22:12:40 | 356,331,667 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,303 | py | from fastapi import APIRouter, status, HTTPException, Depends
import schemas, token_
from passlib.context import CryptContext
from fastapi.security import OAuth2PasswordRequestForm
router = APIRouter(tags=['Authentication'])
# Method to hash the password
myctx = CryptContext(schemes=["bcrypt"], deprecated="auto")
pas... | [
"samuel.quitiang@udea.edu.co"
] | samuel.quitiang@udea.edu.co |
9dd9b9617da72ba3de93cf4b9abe346b3b89264e | eb80e96d29d2aa8329b87626fa22cc81c2abc723 | /youtube_download.py | 16a3f800bdbb7732ad22e8e9d5d3bd78d30b601e | [] | no_license | ahsanGoheer/Tools | 7229f8a7e0c686ce2ebf9731ee232d26382a856e | 9217ee303a204e0f8e6d8e26bce3a20068bb57b9 | refs/heads/master | 2020-06-24T04:53:41.394784 | 2019-09-13T19:02:46 | 2019-09-13T19:02:46 | 198,854,366 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,004 | py | from pytube import YouTube
from tqdm import tqdm
#file_size=0
save_path ="/home/ahsangoheer/Documents/Tools/Videos"
# def progress_Check(stream = None, chunk = None, file_handle = None, remaining = None):
# #Gets the percentage of the file that has been downloaded.
# percent = (100*(remaining-file_size))/file_si... | [
"noreply@github.com"
] | ahsanGoheer.noreply@github.com |
7c06a594c1fc00a552171de2cf59119db21e4ad4 | 0fa4657ec9211364c7a8429a24ce7a18d5e4549e | /FRNN_pytorch_TTLSTM_noiseaware/loader.py | 4bffc012284d422f2d66b3cd5126071d9db859d4 | [] | no_license | ge-dong/plasma-python | beefbf92fd02f3c255357f1a80b832d940bf640e | 101d810988b39979418fb3dc5973fb4c273313c8 | refs/heads/master | 2021-08-20T05:04:18.185294 | 2021-07-14T16:29:02 | 2021-07-14T16:29:02 | 170,406,172 | 1 | 0 | null | 2019-02-12T23:15:43 | 2019-02-12T23:15:43 | null | UTF-8 | Python | false | false | 36,776 | py | '''
#########################################################
This file containts classes to handle data processing
Author: Julian Kates-Harbeck, jkatesharbeck@g.harvard.edu
This work was supported by the DOE CSGF program.
#########################################################
'''
from __future__ import print_fun... | [
"noreply@github.com"
] | ge-dong.noreply@github.com |
c162da296af968a3490c034f866fcdeef0524e9a | 05bc1cf1498af8b14a42cfe3f2403d063a083148 | /python_lecture/control_flow.py | 5658fcb726edf625ab29d65c580106da3320380f | [] | no_license | kevinjaworski/python_notes | 24f0159bf6a15d4f05d19f85a27ce2926257fb52 | acc004a72debd710a96eb30d8e77ff0c937a95a6 | refs/heads/main | 2023-02-11T03:04:45.779894 | 2021-01-14T15:35:57 | 2021-01-14T15:35:57 | 329,657,554 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 361 | py | # if block
x = 0
if x > 0 :
print("Hello")
elif x == 0 :
print("World")
else:
print('blank')
#ternary
is_on = 1
message = "I am on" if is_on == 1 else "I am stuck" if is_on == 3 else "I am off"
print(message)
a, b, c, d = False, True, True, True
print(c and d)
print((a and b and not a) or (not b)... | [
"kmjaworski15@my.trine.edu"
] | kmjaworski15@my.trine.edu |
c7c31a8ca0369dd548fae8e2fb9f805dc9644a40 | 45ba180dd7069a34aea8f64090c09582cfe88f81 | /build/universal_robot/ur3_e_moveit_config/catkin_generated/pkg.installspace.context.pc.py | 5dd389a4fa0bacbccb19bcb7da5760746da17ed6 | [] | no_license | ylliu/aubo_robot | a1e40977c57e77a3c6a4d1e0de40cecc5c56280d | fec6eee61063b0655f741ef4437c70c16aaa052b | refs/heads/main | 2023-03-28T08:46:04.851614 | 2021-03-28T10:33:44 | 2021-03-28T10:33:44 | 349,738,287 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 382 | py | # generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "".split(';') if "" != "" else []
PROJECT_CATKIN_DEPENDS = "".replace(';', ' ')
PKG_CONFIG_LIBRARIES_WITH_PREFIX = "".split(';') if "" != "" else []
PROJECT_NAME = "ur3_e_moveit_config"
PROJECT_SPACE_DI... | [
"1065656821@qq.com"
] | 1065656821@qq.com |
1aa763525c70cc0133f8bd2527f150fc9b95b289 | bf17a8783aed198468b6feb505e611a9fc336f72 | /scriptlets/Wrapper.py | 826bb31227e99e800e5d85885d0988539e7da44d | [] | no_license | Mew1626/QOscript | 6c2db2aca370502dbe474ca1a09a59a43cfb3147 | fb52672eb744901ecb25d8b66788630980d8ce61 | refs/heads/master | 2020-07-14T20:25:57.438538 | 2019-09-13T17:47:48 | 2019-09-13T17:47:48 | 205,394,471 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,368 | py | import os
import datetime
from tkinter import *
from tkinter import filedialog
from tkinter import ttk
root = Tk()
reports = StringVar()
under10min = StringVar()
monthselection = 0
warantycsv = ""
purchasecsv = ""
evalcsv = ""
loncsv = ""
def wrap():
path = os.path.dirname(os.path.realpath(__fil... | [
"noreply@github.com"
] | Mew1626.noreply@github.com |
da0893ee12c8121cd392ce0dc9e6689b63cfe317 | bdb3ab1d81958651d568859336f1a9eba74e279b | /load_data_for_nn.py | 181a0fdb426c1ef4cdaf7df3dc6c30b9e93c2c87 | [] | no_license | mishabuch/Assignment2 | 3f7e153b5aecc38e8b533c61cef9719263dfa924 | aeb0f8ee35a5ddcd4ef9018fa07135c4c5cbadea | refs/heads/main | 2023-03-24T01:51:32.196899 | 2021-03-14T17:22:13 | 2021-03-14T17:22:13 | 347,669,619 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,698 | py | # This is a sample Python script.
# Press ⌃R to execute it or replace it with your code.
# Press Double ⇧ to search everywhere for classes, files, tool windows, actions, and settings.
from abc import ABC
from scipy.io import arff
import numpy as np
from sklearn import preprocessing
import sklearn.model_selection as mo... | [
"noreply@github.com"
] | mishabuch.noreply@github.com |
a27cd524172294776c06edc2d24389936548aba7 | 652c587eb1f846901619d09dd2aab421c5939f06 | /N6_While_Loop/049.py | 8de63f81aafab58d6d7377f14ed0d132dbe48013 | [] | no_license | Lightman-EL/Python-by-Example---Nikola-Lacey | 0bfd55acf0b4f46dac2608c2bdb657fcb0b74e35 | 374ea1d710933ac0fd315326c4963044792ac934 | refs/heads/master | 2022-11-19T19:46:53.902389 | 2020-07-08T19:07:28 | 2020-07-08T19:07:28 | 278,171,242 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 303 | py | counts = 0
compnum = 50
while compnum == 50:
number = int(input("Enter a number: \n"))
counts += 1
if number > 50:
print("Too high")
elif number < 50:
print("Too low")
elif number == compnum:
break
print("Well done, you took", counts, " attempts.") | [
"noreply@github.com"
] | Lightman-EL.noreply@github.com |
eefb5209d4d3b571ac8ea971a93683b56c8bc052 | 5a013bed0f815912aa85aac46250dd6043f65151 | /Graph optimization problem.py | 60dcb6c127c8bc92b137431895b507814b19eef2 | [] | no_license | Manijehkomeili/my-py-codes | 2eee174556a9e2c18dfd8ddef2e5b5fd97527c7a | 449ffbed7621d27a9c1c912ccee43fba24a9d096 | refs/heads/master | 2023-07-19T04:59:49.691786 | 2021-09-16T10:26:32 | 2021-09-16T10:26:32 | 404,399,114 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,525 | py | """
This is a sample Graph optimization problem with DFS and BFS methods
The result will be shown with a test graph section
DFS: Depth-First Search
BFS: Breadth-Fist search
@author: Manijeh Komeili
"""
class Node(object):
def __init__(self, name):
self.name = name
def getName(self):
return ... | [
"89593933+Manijehkomeili@users.noreply.github.com"
] | 89593933+Manijehkomeili@users.noreply.github.com |
470289561cd1a64a4f86181ed762202ddd73d780 | 7ba48f82dac0c19d41d7da51cda3aef5173dd77c | /statements/chart_configs.py | 919e9f14fa9b673184013653232467eb12101965 | [] | no_license | saiful7/Betasmartz | 09af8b11f816adf3c2dc41ad5a70f170d6dbb981 | 337a79b59498f42294f19e53eea9cd1c8019ee48 | refs/heads/master | 2022-05-10T04:14:31.382569 | 2018-11-23T06:50:45 | 2018-11-23T06:50:45 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 46,429 | py | from datetime import datetime
from django.db.models import Max
from .constants import *
from common.utils import Month
from portfolios.models import MarketIndex
from .utils import get_price_from_index
class ChartData:
def portfolio_performance_config(self):
config = {
"exporting": { "enabled": ... | [
"31435513+blueskaie@users.noreply.github.com"
] | 31435513+blueskaie@users.noreply.github.com |
aa1b71d24e45defa75b428b775fb1f2ecb43ba1d | 0c4bb0b0c91a6bfb8c6ea529b93a303661bcd625 | /python/table_parse/table_data.py | c6dd3b8e0345ebfde4e1382caa04ecbcd3604d16 | [] | no_license | shahrukhqasim/TIES | 28de4bd962624856e58f5293b5a91427132fa38d | 279ce12ef5303f9428cf72d3f01a1922c7c5d584 | refs/heads/master | 2021-08-23T16:29:02.057736 | 2017-12-05T17:34:55 | 2017-12-05T17:34:55 | 106,605,384 | 3 | 2 | null | null | null | null | UTF-8 | Python | false | false | 844 | py | class TableData:
def __init__(self, tokens_embeddings, tokens_rects, neighbor_distance_matrix, tokens_neighbor_matrix,
tokens_share_row_matrix, tokens_share_col_matrix, tokens_share_cell_matrix, neighbors_same_row,
neighbors_same_col, neighbors_same_cell, conv_features):
se... | [
"ishahrukhqasim@gmail.com"
] | ishahrukhqasim@gmail.com |
0dd0fb2d347482fcc39221d04b6a381dab6cd16f | d87acfc6fa8dcf71ac26eebbd6069a938222efc3 | /captum/attr/_core/lrp.py | b40829da9c388417e8b280a4ee94afa8983edfd2 | [
"BSD-3-Clause"
] | permissive | pytorch/captum | aedeec58d34c7611ae8928144e9f2314f820c1ca | 945c582cc0b08885c4e2bfecb020abdfac0122f3 | refs/heads/master | 2023-09-04T08:49:54.120380 | 2023-07-08T00:30:37 | 2023-07-08T00:30:37 | 204,734,444 | 4,230 | 491 | BSD-3-Clause | 2023-09-08T17:58:15 | 2019-08-27T15:34:41 | Python | UTF-8 | Python | false | false | 18,328 | py | #!/usr/bin/env python3
import typing
from collections import defaultdict
from typing import Any, cast, List, Tuple, Union
import torch.nn as nn
from captum._utils.common import (
_format_output,
_format_tensor_into_tuples,
_is_tuple,
_register_backward_hook,
_run_forward,
)
from captum._utils.grad... | [
"facebook-github-bot@users.noreply.github.com"
] | facebook-github-bot@users.noreply.github.com |
42d3f7d37df6743f60d81d69b57e407b29202290 | fa8227796c7525f5dfd347f3c480a9a8fa0fa0b1 | /backend/hharvard/hharvard/urls.py | 1da5dbd43c3d01c103021c6ada2764309131af4b | [] | no_license | CauaneAndrade/HackHarvard2021 | 515f8d635dcaa3796251d315a986f93919ff7296 | 42f6e031a6d74f1b8e1bbbe143ae33a76fbb8dde | refs/heads/main | 2023-08-16T06:18:08.429155 | 2021-10-10T14:57:47 | 2021-10-10T14:57:47 | 413,943,558 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 477 | py | from django.contrib import admin
from django.urls import path
from django.conf.urls import include
from rest_framework import routers
from rest_framework_jwt.views import obtain_jwt_token
from app import viewsets
router = routers.DefaultRouter()
router.register(r'users', viewsets.UserViewSet)
urlpatterns = [
pa... | [
"cauane.emanuela@hotmail.com"
] | cauane.emanuela@hotmail.com |
a5ca0dba0718aa09e17d7542056fc9af17a7eb38 | 49c2492d91789b3c2def7d654a7396e8c6ce6d9f | /ROS/catkin_ws/build/dyros_simulator/dataspeed_can_tools/catkin_generated/pkg.installspace.context.pc.py | aaf615e0d8cdbcc7a35dbfeacc60e39121b30380 | [] | no_license | DavidHan008/lockdpwn | edd571165f9188e0ee93da7222c0155abb427927 | 5078a1b08916b84c5c3723fc61a1964d7fb9ae20 | refs/heads/master | 2021-01-23T14:10:53.209406 | 2017-09-02T18:02:50 | 2017-09-02T18:02:50 | 102,670,531 | 0 | 2 | null | 2017-09-07T00:11:33 | 2017-09-07T00:11:33 | null | UTF-8 | Python | false | false | 453 | py | # generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "".split(';') if "" != "" else []
PROJECT_CATKIN_DEPENDS = "".replace(';', ' ')
PKG_CONFIG_LIBRARIES_WITH_PREFIX = "-ldataspeed_can_tools".split(';') if "-ldataspeed_can_tools" != "" else []
PROJECT_NAM... | [
"gyurse@gmail.com"
] | gyurse@gmail.com |
8a9b786a69a3422594bf5a9aa764cfdb148778f8 | d2e9d86c6ea1bf7c9d79afcc90ea9585fd362650 | /HashSetAndHashMaps/HashMap/HashMap.py | 06935effab9aee1d779ad53a9195446f52fea739 | [] | no_license | Ailloviee/data_structures_and_algorithms_review | 1993018f18673e800d94ada64c30264737c33c03 | 7d2f00d78c43d01393d567076e8ffdf5ab7c1297 | refs/heads/main | 2023-05-04T00:53:31.628449 | 2021-05-20T03:12:37 | 2021-05-20T03:12:37 | 362,901,923 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,884 | py | class Bucket:
def __init__(self):
self.bucket = []
def get(self, key):
for (k, v) in self.bucket:
if k == key:
return v
return -1
def update(self, key, value):
found = False
for i, kv in enumerate(self.bucket):
if key == kv[0]... | [
"j68zheng@uwaterloo.ca"
] | j68zheng@uwaterloo.ca |
7cdeb29429d3ea1c04319e3e4093cb11fc57445e | b0def47943423226b42fb86533c97ed864368622 | /src/part2.py | 775817c8de86cddb83f6acdc6485f6a0e15932a1 | [] | no_license | causztic/hmm | 072b9d447ba15f436b1b0746b31530c1414ffce7 | 894724f20a72f34fb265c5f48f12f3b4ab2b9c4f | refs/heads/master | 2020-04-07T22:30:00.716421 | 2018-12-09T08:58:42 | 2018-12-09T08:58:42 | 158,773,322 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,082 | py | import numpy as np
from itertools import groupby
UNKNOWN_TOKEN = "#UNK#"
def prepare_data(file):
"""
Prepare the file, and returns a list of lists of "{observation} {label}"
file : the name of the file to read
"""
lines = [line for line in file]
chunks = (list(g) for k, g in groupby(lines, k... | [
"limyaojie93@gmail.com"
] | limyaojie93@gmail.com |
dce5b05d3471948b064364cc6d832b137033b937 | 94a4d676a7a5ba490e04552be8758a22af2abd2b | /smsf.py | e5d8934d145c96f36a25e72a24addd7f73dd61e0 | [] | no_license | stdwarf/asterisk | 90f95499dfde749b2e507b63e1b5a20dc9cb738f | 2fa525f979848f0daf598452d6fd7321af6a9691 | refs/heads/master | 2021-01-22T04:40:32.589865 | 2013-05-16T07:27:42 | 2013-05-16T07:27:42 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,667 | py | #!/usr/bin/python
# -*- coding: utf-8 -*-
import os,sys,re,sqlite,datetime
import smtplib
from smtplib import SMTP
from email.MIMEText import MIMEText
from email.Header import Header
from email.Utils import parseaddr, formataddr
q="'"
# файл генерируемый для учета iccid sim карт
localpath='/var/lib/asterisk/scripts/... | [
"stdwarf@gmail.com"
] | stdwarf@gmail.com |
d5fc2e9c95367713fde53a9b10a7e522573cc1da | 4fe1dc7170d2d44e2c9988c71b08f66d469ee4b8 | /Appendices/E/ejE5.py | 77ce7a4cada9e676303b27e369f41adfd4fb3073 | [] | no_license | ftorresi/PythonLearning | 53c0689a6f3e7e219a6314a673a318b25cda82d1 | f2aeb5f81d9090a5a5aa69a8d1203688e9f01adf | refs/heads/master | 2023-01-12T00:40:05.806774 | 2020-11-13T14:33:08 | 2020-11-13T14:33:08 | 267,460,517 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,930 | py | """Now we solve the ODE problem u - 10u' = 0 u(0)= 0.2 in [0,20] using HEUN's method"""
import numpy as np
import matplotlib.pyplot as plt
#Exact solution
def exact_u(t):
return 0.2*np.exp(0.1*t)
#u'=f(u,t) as a class
class f:
def __init__(self):
pass
def __call__(self,u,t):
return 0... | [
"noreply@github.com"
] | ftorresi.noreply@github.com |
3c3df6bdd3f4186cae34a915ada8acc2cdde2af6 | d347ff7a54fe608e9e262c12d28c928e6e3989d7 | /data_preprocessing.py | d07d692859a175b6ec7a15ddcdcb94ca03b27282 | [] | no_license | NeverGX/SiamRPN | 374cc6c60f7a0fc8367f8dbe81b5e8184e78705b | 9224a6ecfb23986d7202d110d568a7ab30ad1345 | refs/heads/master | 2023-06-19T18:03:43.235531 | 2020-09-14T07:15:55 | 2020-09-14T07:15:55 | 295,334,657 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,138 | py | import cv2
import numpy as np
import argparse
import glob
import os
from tqdm import tqdm
from concurrent import futures
from config import config
parser = argparse.ArgumentParser()
parser.add_argument('--data_dir',type=str, default='/home/wangkh/Downloads/got-10k/full_data/train_data', help='got_10k data di... | [
"15058715723@163.com"
] | 15058715723@163.com |
6ac8aceb9e1f7b8a43ff8b98d98019bdd41c55d5 | 4c73bf392aa28319e87d5cbb425d13b85ae6fda3 | /exercise/quiz/celeb/solution/main.py | f02d626e6018051980126f9aedfb8038acb60a26 | [] | no_license | potpath/algo-class | 3b9f08e39867e4857a5f5ca12536b85b58cd7f52 | 93638d99f48bce991aa0abbe569947032cc597d0 | refs/heads/master | 2021-01-24T14:22:44.676921 | 2014-10-06T11:27:48 | 2014-10-06T11:27:48 | 24,842,788 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 293 | py | N = int(raw_input())
K = [[int(i) for i in raw_input().split()] for i in range(N)]
R = [sum(K[i]) for i in range(N)] #sum each row
C = [sum([K[i][j] for i in range(N)]) for j in range(N)] #sum each column
ans = [i+1 for i in range(N) if R[i]==0 and C[i]==N-1]
print ans[0] if len(ans)>0 else 0 | [
"GroupDoll"
] | GroupDoll |
cd97fc37637ebbea191dfde0b5de158f4d957ec8 | 6189f34eff2831e3e727cd7c5e43bc5b591adffc | /WebMirror/management/rss_parser_funcs/feed_parse_extractNorthbladetlBlogspotCom.py | 6ae6636f041f4c6171da2a37228f9012d3e74405 | [
"BSD-3-Clause"
] | permissive | fake-name/ReadableWebProxy | 24603660b204a9e7965cfdd4a942ff62d7711e27 | ca2e086818433abc08c014dd06bfd22d4985ea2a | refs/heads/master | 2023-09-04T03:54:50.043051 | 2023-08-26T16:08:46 | 2023-08-26T16:08:46 | 39,611,770 | 207 | 20 | BSD-3-Clause | 2023-09-11T15:48:15 | 2015-07-24T04:30:43 | Python | UTF-8 | Python | false | false | 562 | py |
def extractNorthbladetlBlogspotCom(item):
'''
Parser for 'northbladetl.blogspot.com'
'''
vol, chp, frag, postfix = extractVolChapterFragmentPostfix(item['title'])
if not (chp or vol) or "preview" in item['title'].lower():
return None
tagmap = [
('PRC', 'PRC', 'translated'),
('L... | [
"something@fake-url.com"
] | something@fake-url.com |
25e142e4f0055291c25003b1ada95a8fb4e3b38f | 9f73613f8317e05d484ce6b6fde5c96a37a09b85 | /apps/bus/translation.py | 296414d127f227e3c8cba0cd68b060b3b26c5e88 | [] | no_license | alladot/amurauto | d88e74e9200dd1edf642dcda796c7e154f6405bc | cf46a64392e1ea33628f462a3ac80bd511361dd7 | refs/heads/master | 2020-04-06T13:50:26.237441 | 2019-10-08T03:27:29 | 2019-10-08T03:27:29 | 157,516,546 | 0 | 0 | null | 2019-10-08T03:27:30 | 2018-11-14T08:33:44 | Python | UTF-8 | Python | false | false | 370 | py | # -*- coding: utf-8 -*-
from modeltranslation.translator import register, TranslationOptions
from bus.models import Bus
@register(Bus)
class BusTranslationOptions(TranslationOptions):
"""
Класс настроек интернационализации полей модели Автобус
"""
fields = (
'title',
'content',
)
| [
"alla.dotsenko@fogstream.ru"
] | alla.dotsenko@fogstream.ru |
042eed307db1e9a2af3b5a50786088f3bb73b6df | e2e283294d6c9ed6708fef38f7627d0b27e85779 | /pymixconsole/processors/panner.py | cf240c517fb00467ad3af3dc28678f6139198303 | [
"MIT"
] | permissive | JaeDukSeo/pymixconsole | 3f8315b7c409cbf9d5d979e1dedf00dc39734b7c | 49d86aeddfdd0b59c18830b02f63c98f721caf9d | refs/heads/master | 2023-05-06T04:41:57.434512 | 2021-04-13T16:40:22 | 2021-04-13T16:40:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,478 | py | from numba import jit, float64
import numpy as np
from ..parameter import Parameter
from ..processor import Processor
from ..parameter_list import ParameterList
@jit(nopython=True)
def n_process(data, L, R):
""" Apply panning gains based on chosen pan law.
Params
-------
data : ndarrary
Input... | [
"csteinmetz1@gmail.com"
] | csteinmetz1@gmail.com |
c73062c7a81aad5fa911ce01f8de736e1bb69024 | 7fc2977b09fa8fc7c26a5efc9788a6170b6ca7e5 | /Stylying_Example.py | 4022f2aa5a6c6defee1c144fae5c49ba9ba9fb74 | [] | no_license | fes7713/Qt_Template | d701996991b4ee7e59054f92e72628eaa307a541 | bb0f602ce77a171673be824a9b7d12a0f70eb01b | refs/heads/main | 2023-06-25T20:28:07.130729 | 2021-07-23T07:18:26 | 2021-07-23T07:18:26 | 388,712,708 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 19,518 | py | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'Stylying_Example.ui'
#
# Created by: PyQt5 UI code generator 5.15.2
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
# APP Imports
import s... | [
"tun05036@temple.edu"
] | tun05036@temple.edu |
15bafbcebb7a5ee33f644bfcac1ff16f634e54b6 | c4ee7adb7113c855b54c4c4b752d6e82758a735d | /ecommerce/ecommerce/settings.py | 664987da3f61cb452fe63d12f80ef5d52d5772a7 | [] | no_license | devblocs/django-snippets | c000f73bb9bbe0bb638b2bf0574466de6cfe1bec | a2c06c64cc13b6459e2a7506dca81544d6e756ad | refs/heads/master | 2022-12-17T01:34:32.598922 | 2020-09-14T16:51:46 | 2020-09-14T16:51:46 | 295,435,843 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,080 | py | """
Django settings for ecommerce project.
Generated by 'django-admin startproject' using Django 3.1.
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 pathlib... | [
"venkatesh.nadar@neosofttech.com"
] | venkatesh.nadar@neosofttech.com |
561487e1803023123990db3ae20bc96d55ac9143 | 6c054175f35bb975c2f6bc4bce00243541b9a75a | /wk5/ch9_6Exercise.py | 4b419a12b0e1302325ae870e6ee3de6a4e91f38c | [] | no_license | kayfay/python_informatics_course | 629c12c951312ae8f34d315e6aed0f6c22bebc02 | 86d7fccb006a46f0d9189ab5867560c788fddbd6 | refs/heads/master | 2020-03-27T00:34:48.608787 | 2018-08-22T00:57:58 | 2018-08-22T00:57:58 | 145,635,930 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,020 | py | #File: ch9_6Exercise.py
#Programmer: Allen Tools
#Date: 02/09/2017
#Course ID: LIS 4930 Python for Informatics
#Purpose: Write a function called is_abcecedarian that returns True
# if the letters are in alphabetical order, how many are there?
# reads a word from the wordlist
wordlist... | [
"allenchristophertools@gmail.com"
] | allenchristophertools@gmail.com |
cdae847f9f3fce2eddb4d6dd44e2910e92a82277 | f222202da3ad7d9f897608363c4f6ad18ccb6238 | /srm685/multiplication_table2_easy.py | 37383f97b427629bf3d3b8b2f4eb57e61388afac | [] | no_license | antontomusiak/TopCoder | fbc510b53bd2f201443f3846a7143db752116094 | 124d8426c9faeedc787ce0fa9643a6e80828126e | refs/heads/master | 2020-08-22T11:31:23.436037 | 2019-10-20T16:08:42 | 2019-10-20T16:08:42 | 216,384,917 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 214 | py | from math import sqrt
class MultiplicationTable2Easy:
def isGoodSet(self, table, t):
n = int(sqrt(len(table)))
for i in t:
for j in t:
if table[i * n + j] not in t: return 'Not Good'
return 'Good' | [
"noreply@github.com"
] | antontomusiak.noreply@github.com |
752c22f97ab80a626fa28eba09160396d731d400 | a93977614af9f4461a8f39b66b37456c7de10b92 | /jws_beta/logon.py | 4e2fcecb1ab4005f4d93dc571cb99235a133dd34 | [] | no_license | gikieng/jws | 90039d8fc7cbc551bde5612cb2ec2ff9c3453618 | 81ec2f6e632390f95d8e6b36aeaae3104cf6de6a | refs/heads/master | 2020-05-17T12:14:02.642195 | 2014-04-22T23:21:23 | 2014-04-22T23:21:23 | 18,941,316 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,005 | py | # -*- coding:utf-8 -*-
import gtk, urllib2, urllib,sys, re
class LoginPage(gtk.Window):
url = 'http://jw.hrbeu.edu.cn/ACTIONLOGON.APPPROCESS?mode=4'
def __init__(self, opener, headers):
super(LoginPage, self).__init__()
self.set_title("哈工程学生成绩查询系统")
self.set_size_r... | [
"gikieng@gmail.com"
] | gikieng@gmail.com |
3b670b3ba9034ce06aecedf5d367f6512e9bc61b | ce002bac9a46694bbd0227b895da4ca02832311c | /tests/app_test.py | 7297f123212e800aa77873ea51c6b0b8514f5366 | [] | no_license | Pranav143/ECE444-F2021-Lab6 | 787cb8f12da0679821585a5417ed5693ea8e5ef2 | 5e766fd36f9c3fdc7e0dadf34c3b28ec92e0be2d | refs/heads/main | 2023-09-04T05:29:19.787720 | 2021-11-01T03:40:09 | 2021-11-01T03:40:09 | 423,250,181 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,500 | py | import pytest
import os
from pathlib import Path
import json
from project.app import app, db
TEST_DB = "test.db"
@pytest.fixture
def client():
BASE_DIR = Path(__file__).resolve().parent.parent
app.config["TESTING"] = True
app.config["DATABASE"] = BASE_DIR.joinpath(TEST_DB)
app.config["SQLALCHEMY_DAT... | [
"pranavagnihotri143@gmail.com"
] | pranavagnihotri143@gmail.com |
8b794d9621af4cabd7f72b4a547be012ca0d18ff | f8afc5020d9757437f17574e16e15501016fb60a | /sawtooth-core/families/settings/sawtooth_settings/protobuf/client_transaction_pb2.py | 199ee2ff6ecbba49d372fbc7ce1cbcd156d2a63d | [
"Zlib",
"MIT",
"Apache-2.0"
] | permissive | prog-nov/hyperledger-sawtooth | cdbf168c2b893905d95d99fcead4122bbf6b2307 | b2d8e1f37293a3ede2e43f18248d643023e4f2de | refs/heads/master | 2023-03-17T02:51:05.317383 | 2018-11-07T18:08:29 | 2018-11-07T18:08:29 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | true | 13,916 | py | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: sawtooth_settings/protobuf/client_transaction.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from googl... | [
"tupt@qsoftvietnam.com"
] | tupt@qsoftvietnam.com |
aeda73e4de7393ca198519384998e625a5a63d26 | 6f33381dcb19a042d916b4a452f9cb7438729798 | /jabba/graphs/legend.py | 6767d1bc8f8140580a6220c89e4327bd31cd22ab | [
"MIT"
] | permissive | puppetlabs/jabba | 8308adf5be9ba25efb414f384bf3568854be55e2 | 71c1d008ab497020fba6ffa12a600721eb3f5ef7 | refs/heads/master | 2023-06-13T09:17:49.274408 | 2017-06-30T11:02:27 | 2017-06-30T11:02:27 | 185,443,592 | 0 | 1 | null | 2019-05-07T16:54:03 | 2019-05-07T16:54:02 | null | UTF-8 | Python | false | false | 939 | py |
import graphviz as gv
class Legend(object):
"""
GraphViz graph for rendering legend
"""
def __init__(self):
# Legend is presented as map (name -> settings)
self.items = {}
def add_item(self, name, settings):
self.items[name] = settings
def render(self):
legend... | [
"rebovykin@gmail.com"
] | rebovykin@gmail.com |
97c689ed7738f6c1cdd66ac8e2e6f724392842c8 | 99ee9124c12c889821f407fe5f29316ea276131d | /1.py | b76abe519ef86ead1537c66e88e3bea758ae3c83 | [] | no_license | 17818909875/pythontianqi | 3b7a17cd3d9e7be0b115549d246221e7479ee646 | 7c20fde9ec6dd2cf9dd9ab3a4e5ca46a14ac114a | refs/heads/master | 2020-06-01T12:16:53.326667 | 2019-06-07T16:58:28 | 2019-06-07T16:58:28 | 190,777,163 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 497 | py | import requests
r=requests.get('http://www.baidu.com',params=None)#与post相同去爬取信息，但是正则好难,这里构造请求request,None可以是字典或则字节流,r此时是response对象
r.encoding='utf-8'#可以用r.apprent_encoding时猜测的编码方式,如果header不存在charset,就不能解析中文了，如百度，注意header不是head，所以百度没有
print(r.text)#字符串形式信息
#r.content,http响应内容的二进制形式，如图片就是这种形式 | [
"2534907211@qq.com"
] | 2534907211@qq.com |
4fc3011a76a8c9902eca9bf38d2151c3a856bb67 | e5a12238b92363468c2260082e784c317d864134 | /RegularExpression.py | 34931a08db360980cbec01200fc779186a9c10df | [] | no_license | KrupaPatel02/MetroNet | 751d3e48f71a22dda627408e1f21def317b01644 | 53d7c7ecd6412d885367fe26a6dd2d32fe585497 | refs/heads/master | 2020-07-02T22:27:05.281739 | 2019-08-10T22:09:08 | 2019-08-10T22:09:08 | 201,687,584 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 750 | py | import re
from datetime import datetime
regex = "20\d{2}(-|\/)((0[1-9])|(1[0-2]))(-|\/)((0[1-9])|([1-2][0-9])|(3[0-1]))(T|\s)(([0-1][0-9])|(2[0-3])):([0-5][0-9]):([0-5][0-9])"
regex1 = "([12]\d{3}-(0[1-9]|1[0-2])-(0[1-9]|[12]\d|3[01]))"
def validateTimeStamp(timestamp):
print("Started validating")
if re.searc... | [
"krupahp90@gmail.com"
] | krupahp90@gmail.com |
b1321be198118b1993a81931de6a882a23c86dbd | 9f4b9df74d87dbb493661fb341c12779a3108873 | /DownLoad_Files/CrawlNet.py | 3ccf53fe66defceb6d7c1c46d6c77a8f5ab64982 | [] | no_license | yangfanjx/SearchEngine | 8559f70bec067bd4217c1ef94fd03f19be7ea292 | 626194108b7e87602438cb6ced31748dd4287592 | refs/heads/master | 2022-07-31T13:42:54.683605 | 2020-05-26T13:43:03 | 2020-05-26T13:43:03 | 266,956,043 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 40,442 | py | #!/usr/bin/python
# -*- coding: utf-8 -*-
import requests # 导入requests包
from bs4 import BeautifulSoup
import csv
from SearchEngine.DownLoad_Files import Handle_Excel
from SearchEngine.DownLoad_Files.Handle_Word import Word_Table
import re
down_folder = "./download_file/"
# csv写入
class CSV_Class(obj... | [
"40845650+yangfanjx@users.noreply.github.com"
] | 40845650+yangfanjx@users.noreply.github.com |
c86eb97e7e33e0eb1daa5c7af3fdb94195670482 | 38b87c9bede63d0d26d3fb56e453d9f2b92e49ed | /theme/migrations/0061_auto_20160529_1935.py | 2ef31fb0bab366a335497b43f82c082d9b73f281 | [] | no_license | webcommittee/cfwebsite | f1614bcc49b600918fd6c85e6cb7023c9702bc8d | d7bf23db8609655a8af53d9548a3ab02c1440a1b | refs/heads/master | 2021-01-01T15:35:08.140308 | 2017-08-10T00:34:42 | 2017-08-10T00:34:42 | 97,653,307 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 805 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.9.5 on 2016-05-29 23:35
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('theme', '0060_auto_20160529_1429'),
]
operations = [
migrations.RemoveField(... | [
"webcommittee.rpicareerfair@gmail.com"
] | webcommittee.rpicareerfair@gmail.com |
61bc8a3a202bc70ca7a6d6c6a4c970e5e87ea59c | 06b25df867b9a4741b4ca803eceb254aa50758e9 | /editor_api/rest/lum.py | acdf87c0a73ffc1bdb30ca30bc06f1dcb3063474 | [
"MIT"
] | permissive | jphuart/swatplus-automatic-workflow | e5ceaa745096926176d9fc45042f836e628d0504 | dd2eeb7f882eb2d4ab7e1e5265c10b9beb93ddc4 | refs/heads/master | 2023-08-15T02:47:40.742352 | 2021-10-05T14:57:19 | 2021-10-05T14:57:19 | 282,170,706 | 0 | 0 | null | 2020-07-24T08:52:25 | 2020-07-24T08:52:24 | null | UTF-8 | Python | false | false | 19,887 | py | from flask_restful import Resource, reqparse, abort
from playhouse.shortcuts import model_to_dict
from peewee import *
from .base import BaseRestModel
from database.project import base
from database.project.setup import SetupProjectDatabase
from database.project.lum import Landuse_lum, Management_sch, Cntable_lum, Con... | [
"celray.chawanda@outlook.com"
] | celray.chawanda@outlook.com |
34397dfc2620cb2ec545a7ad9cb93a808013afbd | 0917f0312bdc934d586b5471bda0f26ea2cd1dc6 | /src/user_io.py | 48e4c290764f8b6599b782be9ee8a72271c716eb | [
"MIT"
] | permissive | S0S-90/geocachingTooly | 1897b64f0c71af781807354362a1656e13756be9 | a6ed356d0187dd517a9436a83bded3752d488db5 | refs/heads/master | 2021-06-02T09:01:34.592866 | 2019-04-09T10:00:30 | 2019-04-09T10:00:30 | 68,519,562 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 15,000 | py | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""This file contains the user interface."""
import ownfunctions
import geocache
import os
PATH = [r"E:/Garmin", r"F:/Garmin", r"G:/Garmin", r"H:/Garmin", r"/media/{}/GARMIN/garmin/".format(os.environ["USER"])]
CODING = "cp1252" # coding of cmd (cp1252 recommended)
EDITOR... | [
"susanneTsauer@gmx.net"
] | susanneTsauer@gmx.net |
7f06032dba7dbccf331c8ae2b298cd060ce22cac | 16aabd7d01d327815b64fe1ee39e1c42e07acdfa | /pipeline/table_figure_scripts/TALONClass.py | a6e320389960515565580f61f089deb026399519 | [
"MIT"
] | permissive | dewyman/TALON-paper-2019 | b17e1139afabd350c72fcc9d7078f49de746c046 | 8644b34573d6a5924e8d84a234fd0fcbf010c233 | refs/heads/master | 2020-04-28T06:31:33.907456 | 2019-11-04T20:13:34 | 2019-11-04T20:13:34 | 175,061,699 | 4 | 1 | null | null | null | null | UTF-8 | Python | false | false | 4,733 | py | import sys
# this is the "class" code for creating Transcript objects.
# all objects belong to a class, and this is the definition of it
# there will be 1 object for each Talon Transcript
# each column name is added to the object as an attribute
# we could have written this in a separate file, then imported it using ... | [
"noreply@github.com"
] | dewyman.noreply@github.com |
90254a2e8ba7c81e196fd637cbd4598c1fdaa717 | 3e1b5d7cb529be1529ae45fa062a423f8328d6d2 | /Edgar-new-codes/Getting-10-K- and-10-Q doc links.py | 54aab244b45e5b116a35eee0099a5ad3de1aba53 | [] | no_license | abhigupta4/Finrsch | 260687b3b53d3c94a03dc2b9e640952718033486 | ca0b7f1631fbbe109b81403b9ffc36c67c759d23 | refs/heads/master | 2021-01-19T10:54:19.705213 | 2017-07-06T12:22:37 | 2017-07-06T12:22:37 | 87,913,197 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,806 | py | import requests
from bs4 import BeautifulSoup
import urlparse
def get_file(cur,val):
base = 'https://www.sec.gov'
r = requests.get(cur)
document = BeautifulSoup(r.content,"lxml")
links = document.find_all('a')
for link in links:
if 'Archives' in link.get("href"):
print 'Document link'
print base+link.get(... | [
"abhinavgupta6245@gmail.com"
] | abhinavgupta6245@gmail.com |
ec47bc066bc69f6cf12e1ef76fe29f8be677394c | 5667cc877342204b7d54b6c3cc5a9f4854f08829 | /.history/apppersona/views_20201101174230.py | 3ca271ad58977d9585b9c4096dc875f160abb1d5 | [] | no_license | Nyckhos/TestCommit | d62e3f6fefb04ab5647475cc7ead0d72cbd89efa | 9aa8e2e35280b7862960cc8a864e9c02ac7f4796 | refs/heads/main | 2023-01-05T05:57:59.223641 | 2020-11-02T02:08:18 | 2020-11-02T02:08:18 | 309,237,224 | 2 | 0 | null | 2020-11-02T02:30:43 | 2020-11-02T02:30:43 | null | UTF-8 | Python | false | false | 3,787 | py | from django.http import request
from django.shortcuts import redirect, render
from django.http import HttpResponse
from .models import *
from .forms import *
from django.contrib.auth.models import User
from django.contrib.auth import *
from django.urls import reverse
from django.contrib.auth import login
from django.co... | [
"fernandox_240997@live.com"
] | fernandox_240997@live.com |
7d755fc576080c119f8c871344e8aedfbbb39a79 | 350864228c8979440115cfc394757598214d4f73 | /Music4U/app.py | ce56bcc49665f228384c36b5852bf202da888422 | [] | no_license | yunjujo/homework | c207689d64e9ef9aaa3af2d8d914f4b3a522752d | 59dff1607e6e596d0e738d9ecf4e883237843725 | refs/heads/master | 2022-12-30T13:41:25.125410 | 2020-10-27T23:00:32 | 2020-10-27T23:00:32 | 304,310,939 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,965 | py | from flask import Flask, render_template, jsonify, request
import requests
from bs4 import BeautifulSoup
from pymongo import MongoClient # pymongo를 임포트 하기(패키지 인스톨 먼저 해야겠죠?)
app = Flask(__name__)
client = MongoClient('localhost', 27017) # mongoDB는 27017 포트로 돌아갑니다.
db = client.dbsparta # 'dbsparta'라는 이름의 db를 만들거나 사용... | [
"35657441+yunjujo@users.noreply.github.com"
] | 35657441+yunjujo@users.noreply.github.com |
5fc5736b6ff1ad4da80432c6975910ee3332d969 | 3c328704f965a7e7024e67ef672689f339c049ca | /features/daysSinceRegistration.py | 39b93e352142a40add930e26fda44ec222606591 | [] | no_license | valkheim/url-classifier | 1152cd54d418cec452a538b1b70371a89fb998cc | 7f431b6fcc996c8c94062a5d6d5468815857c587 | refs/heads/master | 2020-05-01T18:06:21.593033 | 2019-04-01T08:35:49 | 2019-04-01T08:35:49 | 177,616,846 | 1 | 0 | null | 2020-01-25T14:57:42 | 2019-03-25T15:45:15 | TeX | UTF-8 | Python | false | false | 640 | py | #!/usr/bin/env python
import whois
import datetime
import numpy as np
def get(address):
if address is None:
return np.nan
try:
creation = whois.whois(address).creation_date
except BaseException: # non existent domain raises an exception
return np.nan
if creation is None:
... | [
"charles.paulet@epitech.eu"
] | charles.paulet@epitech.eu |
3b357c8230a89675c8166c429994a142c867bce6 | 8eca4bbf07e2cad4dbc4fa685d2b34b0cdc4508e | /build/usb_cam/catkin_generated/pkg.installspace.context.pc.py | 37ff0319fff6a308e509f32f7168d0b64ab31053 | [] | no_license | marcfroberts/NASASwarmathon2018 | a4555d432a0ab23cc96bc36c1f8e2ba417f49478 | e2b1f62eb0d255fe10ab6b5e699bfa71a5e02ffd | refs/heads/master | 2021-05-15T09:04:55.268856 | 2018-03-27T18:41:42 | 2018-03-27T18:41:42 | 108,076,212 | 0 | 0 | null | 2018-03-27T18:41:43 | 2017-10-24T04:21:17 | Makefile | UTF-8 | Python | false | false | 492 | py | # generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "/home/swarmie/SwarmBaseCode-ROS/install/include".split(';') if "/home/swarmie/SwarmBaseCode-ROS/install/include" != "" else []
PROJECT_CATKIN_DEPENDS = "".replace(';', ' ')
PKG_CONFIG_LIBRARIES_WITH_PR... | [
"matthew@fricke.co.uk"
] | matthew@fricke.co.uk |
457d4c6a1076ae536700f2daa77aa5ad82d61938 | 462ebf4ae330bb2b0738ed9193ca57c91d44f036 | /utils/ops.py | 03325cfd11d12f5b01e84d3d8b8c4d3102f926e6 | [
"CC-BY-SA-4.0",
"MIT"
] | permissive | sekilab/RoadDamageDetector | 51aabfb0025d79d11b345f4e05fe981d484dd0eb | a7e867cc11d6895e7ea37acd43a9daf28ad16174 | refs/heads/master | 2022-10-20T13:21:14.983887 | 2022-09-30T02:00:53 | 2022-09-30T02:00:53 | 116,769,587 | 663 | 254 | MIT | 2022-09-30T02:00:56 | 2018-01-09T05:21:06 | Jupyter Notebook | UTF-8 | Python | false | false | 31,229 | py | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"n.o.id.z.m@gmail.com"
] | n.o.id.z.m@gmail.com |
29c8d5b661e0845d95e719b70c945412bef5640f | b28cce9b6b2f30c7ebce8433de8c53cf6ec75a84 | /retinanet/model.py | 6cc4b58baa238a862562d5ec22fb5d2a81aa8fde | [
"Apache-2.0"
] | permissive | ccl-1/retinanet_pytorch | 7c2fbd0128891e3b89e9ba09dee89f2aea71abf0 | 493cf4a942639df63839e575a280c56e3abe065d | refs/heads/master | 2023-04-02T00:48:30.180338 | 2021-03-22T08:53:48 | 2021-03-22T08:53:48 | 201,150,049 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 13,253 | py | import torch.nn as nn
import torch
import math
import torch.utils.model_zoo as model_zoo
from torchvision.ops import nms
from retinanet.utils import BasicBlock, Bottleneck, BBoxTransform, ClipBoxes
from retinanet.anchors import Anchors
from retinanet import losses
model_urls = {
'resnet18': 'https://download.pytor... | [
"Roronoa_Zoro_1@163.com"
] | Roronoa_Zoro_1@163.com |
058213adb8930b755a1e1a227d1503946eb6a378 | ea064463fd3e7f341a8d1a902db85b859a184838 | /pySAM/tests/test_utils.py | 113918f9557da77882e0400b2e0a50f87718797b | [] | no_license | sososquirrel/SAM_project | 66660c83831ff95465393d13181369412e91cda7 | 6fa411e2a8e1a6966df44c6ed2a30e0d919887ed | refs/heads/main | 2023-04-12T16:10:43.590668 | 2022-10-19T13:41:50 | 2022-10-19T13:41:50 | 322,825,960 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 643 | py | import time
import numpy as np
import pySAM
import pytest
from pySAM.utils import make_parallel
def test_make_parallel():
def yoo(a, b):
for i in range(1000000):
a + b
return 1
list_iterate = np.array(
[1, 3, 5, 8, 10, 3, 5, 4, 12, 23, 45, 56, 76, 89, 98, 89, 87, 65, 45, ... | [
"sophie.abramian@gmail.com"
] | sophie.abramian@gmail.com |
a5c4df71ef52999cba5ee63c82c678407d13a844 | 3bb74bbfca7ca25eb82358181cf94d456811fdbd | /HW-04/main.py | 4acd1a7618c182c57c3b34fb1adc79cda73df475 | [] | no_license | WNick-main/GB_Python | 3b4a67ea55cfe69fb672a7d3417883e48dda3b06 | 5f6f80e108e69ac998196e3d390971c4e15caebe | refs/heads/main | 2023-07-28T03:39:37.714168 | 2021-09-12T17:26:52 | 2021-09-12T17:26:52 | 398,079,598 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,556 | py | """
1. Реализовать скрипт, в котором должна быть предусмотрена функция расчета заработной платы сотрудника.
В расчете необходимо использовать формулу: (выработка в часах*ставка в час) + премия.
Для выполнения расчета для конкретных значений необходимо запускать скрипт с параметрами.
"""
import sys
import ex1_lib
try:... | [
"wnick@bk.ru"
] | wnick@bk.ru |
9d6be18ab0536568627e74f04f6d5fac3aacefbc | 4ac330ae846ac3d593dca27ae34a5712a6de3a6c | /04_函数/hm_08_打印分割线.py | 8f07d4fa0d6f3120716baedd355900f642e50bb5 | [] | no_license | gaoshang18/python | 5999c420be0bf020759fa0bb0bc2251532d5c779 | e73aa15e71eea54699215f0ff6279ad9b8417be2 | refs/heads/master | 2020-05-01T03:35:32.480839 | 2019-08-26T02:02:55 | 2019-08-26T02:02:55 | 177,248,778 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 115 | py | # 函数的返回值 return
def print_line(char, times):
print(char * times)
print_line("hi", 4)
| [
"noreply@github.com"
] | gaoshang18.noreply@github.com |
d3bdbc5461a26a5c7fe0183620159be6662d508c | a9a2f66671fadf765d7feb511a4a5d9b9f4ef362 | /test/agent/server/local_elastic_agent_test.py | d86d3dc297c43d5bceef33af548cc125f0b9dd84 | [
"BSD-3-Clause"
] | permissive | BobLiu20/elastic | 64885d164d485976ea8740672c454c212bab4ff8 | e371fe57672aea91d2466f5e04884028d8dca649 | refs/heads/master | 2022-11-11T10:22:20.181835 | 2020-07-01T23:30:44 | 2020-07-01T23:32:17 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 19,667 | py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import multiprocessing
import os
import time
import unittest
import uuid
from unittest.moc... | [
"facebook-github-bot@users.noreply.github.com"
] | facebook-github-bot@users.noreply.github.com |
0f5deea79f8da3d2ff9acc9d892c0b222e273d5d | a41d53564a56210851c784422a430cf31bf2bfd6 | /examples/coffee_bar/cash_register/models/handlers/coffee_served_handler.py | 7c5c44532ce019c132b5638bc3ad0503ff51bbf6 | [
"MIT"
] | permissive | ohemelaar/tonga | 3227bbf9e516aa0e48a0097cc86081ca37269660 | d98f56df0400e1fdfc8f2df4b650c9c0addd0bc1 | refs/heads/master | 2020-05-31T17:57:58.089966 | 2019-06-05T12:35:49 | 2019-06-05T12:35:49 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,426 | py | #!/usr/bin/env python
# coding: utf-8
# Copyright (c) Qotto, 2019
from aiokafka import TopicPartition
from typing import Optional
# Import BaseEvent
from tonga.models.events.event import BaseEvent
# Import BaseEventHandler
from tonga.models.handlers.event.event_handler import BaseEventHandler
# Import StoreBuilderBa... | [
"theo.dangla@epitech.eu"
] | theo.dangla@epitech.eu |
827e3bcf2fca26a7b7abc2fc74da531da077f856 | f6078890ba792d5734d289d7a0b1d429d945a03a | /extra/oconnorcollin_24162_1340359_Collin_O'Connor_1607318_ExtraCredit_week7.py | 768973e38dd5ce426badbd6677369e038d6aa08c | [] | no_license | huazhige/EART119_Lab | 1c3d0b986a0f59727ee4ce11ded1bc7a87f5b7c0 | 47931d6f6a2c7bc053cd15cef662eb2f2027712c | refs/heads/master | 2020-05-04T23:40:53.709217 | 2019-06-11T18:30:45 | 2019-06-11T18:30:45 | 179,552,067 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,750 | py | # -*- coding: utf-8 -*-
"""
Created on Mon May 13 08:26:50 2019
@author: collin O'Connor
"""
import numpy as np
import integrate_utils as int_utils
#==============================================================================
#Question 1
#================================================================... | [
"hge2@ucsc.edu"
] | hge2@ucsc.edu |
69fe2635469cacf0543c8bdc6588c35e1ff15509 | aa1972e6978d5f983c48578bdf3b51e311cb4396 | /nitro-python-1.0/nssrc/com/citrix/netscaler/nitro/resource/config/network/vrid6_interface_binding.py | 514e8bd208b3024680ba6c2b0c5d4530d8b2a8a3 | [
"Python-2.0",
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | MayankTahil/nitro-ide | 3d7ddfd13ff6510d6709bdeaef37c187b9f22f38 | 50054929214a35a7bb19ed10c4905fffa37c3451 | refs/heads/master | 2020-12-03T02:27:03.672953 | 2017-07-05T18:09:09 | 2017-07-05T18:09:09 | 95,933,896 | 2 | 5 | null | 2017-07-05T16:51:29 | 2017-07-01T01:03:20 | HTML | UTF-8 | Python | false | false | 6,678 | py | #
# Copyright (c) 2008-2016 Citrix Systems, Inc.
#
# 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 l... | [
"Mayank@Mandelbrot.local"
] | Mayank@Mandelbrot.local |
b1480d429e722377d42d9397f4d3dd57384079cc | 0add471d82edab23894421dc17429da39b92cc73 | /heaviside/ast.py | db8d24717141b5929f91b3a0e6c2f4d5e1c6f583 | [
"Apache-2.0"
] | permissive | MHova/heaviside | fac09ae7608306665ee01a46baa2197dc81d649d | 9ee9e69343c58124b8c7a119888a195794978cd6 | refs/heads/master | 2020-05-30T10:08:11.110234 | 2019-05-30T20:16:52 | 2019-05-30T20:16:52 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 24,872 | py | # Copyright 2016 The Johns Hopkins University Applied Physics Laboratory
#
# 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 ... | [
"Derek.Pryor@jhuapl.edu"
] | Derek.Pryor@jhuapl.edu |
baf42a120fbd7ad0269031a40b68a46cc11a055a | c6391327d2876f02c5277d9d058a11086f7dcf3d | /server/src/objects/__init__.py | 9161de3c0b3471758ff087fd16cfbe093a7d573c | [] | no_license | strands-project/qrobot | 680b8bb74587408aeb68500c997edd639a1bde67 | 59f7e96211ea7328ba334da261f0e62bfe8f1cc0 | refs/heads/master | 2021-03-29T18:23:12.280196 | 2016-07-01T13:50:23 | 2016-07-01T13:50:23 | 59,102,377 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 453 | py | # from flask_classful import FlaskView
# from app.objects.models import Object
# from app.helpers import send_data, jsonify
# class ObjectsView(FlaskView):
# trailing_slash = False
# def index(self):
# return jsonify(Object.objects.exclude('pcd'))
# def pcd(self, id):
# obj = Ob... | [
"alexandrov88@gmail.com"
] | alexandrov88@gmail.com |
7cad7992eeac85db66f3ce5104c3ea5578c661fc | 892ff205c217f3ff0a0e3aef17aa037828b0383a | /IMDB Scraper/updateDB.py | e4b679138418d99bb44767cba1564febfab37519 | [
"MIT"
] | permissive | MTashreeqWaggie/Video-Store-Management-System | f73cce2a268344511735d73ddb8fdb9da98db8cb | 72ccccd9541780d0a416b73a65ad0158be58bd32 | refs/heads/main | 2023-04-29T01:42:33.834367 | 2021-05-23T19:24:14 | 2021-05-23T19:24:14 | 283,135,666 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 459 | py | from store.models import Product
Product.objects.update(poster = "")
f=open("forDownloads.tsv", "r")
movies = f.read().splitlines()
for i in range(0, len(movies)):
if(i == 0):
continue
lst = movies[i].split("\t")
id = lst[0]
relativePath = "/store/static/images/"+id+".jpg" # dean to... | [
"TashreeqWaggiie@gmail.com"
] | TashreeqWaggiie@gmail.com |
509fee19ac22160dda30942e1f3bc043af305a98 | 7584585becdb21bd13a64340fe484e9ff09b2661 | /another_project.py | 131ed5859423001ee7469c86014daacff81e8ea5 | [] | no_license | LahavNanovel/hello-world-usage | cc55fa4e5c79a6aeed18af5ca95b8c06c91431b0 | f0bb8124e021d133c7454f673f868bbb5e8e27dd | refs/heads/master | 2023-03-09T11:57:21.252352 | 2021-02-22T12:42:44 | 2021-02-22T12:42:44 | 341,181,686 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 49 | py | from helloworld.main import print_hi
print_hi()
| [
"lahav@nanovel.co.il"
] | lahav@nanovel.co.il |
4f0239fbe754bec4f62ac564b2eec8efa2ff6483 | 554999891c412bfb684e678db9237784b3e94e13 | /model_image.py | 4888a0a3c3104f09d24dda71346efcfa4bd3c29b | [] | no_license | alherondelle/Large_Satellite_Image_AutoEncoder | 9c5ee37d6ebbc5b0566916859a03b8b6c07e9123 | 5e1321c2419cbefc13d0c9c5e5678420b69d8205 | refs/heads/master | 2023-01-18T21:16:15.233479 | 2020-11-27T16:57:07 | 2020-11-27T16:57:07 | 304,578,907 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 6,189 | py | # -*- coding: utf-8 -*-
import glob
import random
import cv2
import os
import torchvision.transforms as transforms
import torch
import random
import pickle
from tqdm import tqdm
from torch.utils.data import Dataset
from PIL import Image
import numpy as np
import torch.nn as nn
import torchvision
from torch.autograd i... | [
"agathe.lherondelle@mines-paristech.fr"
] | agathe.lherondelle@mines-paristech.fr |
5033788886ca0a031be15dcc3ead9afa0c97c340 | 22e37de74bbd859791dccb147284527ebd6674e3 | /image_handler.py | 05ccb9bc709d2e4bbcbc61b4e59867ebdab9528d | [] | no_license | fnrcum/pjing_client | 719fd997beafb65d4490032a414124dad093c19f | b0dc51d7dd8da969544844b3c19773a816aff600 | refs/heads/master | 2020-07-26T12:30:06.307678 | 2016-11-15T12:40:58 | 2016-11-15T12:40:58 | 73,721,997 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,959 | py | import pygame
class ImageHandler:
def displayImage(self, screen, px, topleft, prior):
# ensure that the rect always has positive width, height
x, y = topleft
width = pygame.mouse.get_pos()[0] - topleft[0]
height = pygame.mouse.get_pos()[1] - topleft[1]
if width < 0:
... | [
"nicolae.farcas@softvision.ro"
] | nicolae.farcas@softvision.ro |
d6f400c8e900cfa2adabecd58ef963c067396287 | 1abdbf49bf7c75ebf75f6d30e6c04747c84b927d | /models/pacient/profession_history.py | 4619c59e2a40a8c1852547525dc9b78a032afd9a | [] | no_license | JoseMOrellana/neuro_app_api | 160577a0de1efa20934c1ee150d34abb591295ee | 46797375afc66392452a08f28ee6ebee716d8c14 | refs/heads/master | 2022-11-20T01:18:46.880451 | 2020-07-24T13:33:07 | 2020-07-24T13:33:07 | 262,230,151 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 844 | py | from db import Column, Integer, ForeignKey, String, Date
from models.abstract_models import BaseModel
from .profession_type import ProfessionTypeModel
class ProfessionHistoryModel(BaseModel):
__tablename__ = "profesion"
profession_type_id = Column("tipo_profesiones_id", Integer, ForeignKey(ProfessionTypeMod... | [
"jose.mom.1304@gmail.com"
] | jose.mom.1304@gmail.com |
a626adc7102a1a6b908acacffa6e1e0b37933a75 | 8e75c045b657680591b787bf9a1506dd3aed2415 | /address_plate.py | 8fd3b10fe9450a242099fca07b72db71b257c271 | [] | no_license | SergeyFromOdessa/address_plate_modern | 87c97bc3431700ced539ece56149264c89a8a61d | 08ccaa98050b247fe38fae9e7b167ca6a388debc | refs/heads/master | 2022-11-10T22:17:44.826529 | 2020-07-06T08:38:09 | 2020-07-06T08:38:09 | 277,486,928 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 27,542 | py | from argparse import ArgumentParser
import io
import pickle
import re
from reportlab.pdfgen import canvas
from reportlab.lib.colors import PCMYKColor
import sys
import textwrap
def pt(mm: float) -> float:
""" mm to pt
"""
return mm*2.834645669 # 72/25.4
def _load_path():
with open('paths' + '.pkl',... | [
"sergey@example.net"
] | sergey@example.net |
aca8286bd93b871eb0b572ac027266f46511234a | 7405aff080f8f9f915c1989dc7eb5a16d0e3c54c | /data_viz.py | 1a9f146a9a1a844f9ab1678c4b80909a02920f11 | [] | no_license | peter-haferl/reddit_hockey_sentiment_analysis | 9dc3cbca3e7f05b0550fdcfda7bc30c733e7aa17 | a341f8cdd623758fa3eedcb8dc9c4a3c3f9b3596 | refs/heads/master | 2022-03-30T18:43:45.113783 | 2020-01-30T21:32:30 | 2020-01-30T21:32:30 | 212,584,071 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 18,092 | py | '''
Functions for visualizing data for EDA
'''
import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
from IPython.display import display, Markdown
from sklearn.preprocessing import MinMaxScaler
# game_data = ['num_comments', 'num_fights', 'attendance', 'len_game', 'corsi_for%',
#... | [
"peter.haferl@gmail.com"
] | peter.haferl@gmail.com |
4c795c026fff52696fabaad9bcac64c4f44ed866 | 2ad59884af3eef1d1e691ce3619627d2770f3788 | /website/theses/migrations/0009_auto_20170805_0851.py | e3adc63aaab0bb7a4b77e7ca88d4ce4f3f723b39 | [] | no_license | ea-czech-republic/efektivnialtruismus.cz | ee9058021bc86cda2ab52c7988f9c85e9605865b | 77e142e0689eab491493109c804c3bc9c0bf6d58 | refs/heads/master | 2022-03-22T21:47:53.383690 | 2022-02-22T13:02:02 | 2022-02-22T13:02:02 | 72,468,463 | 14 | 20 | null | 2022-01-24T22:35:25 | 2016-10-31T18:57:45 | Python | UTF-8 | Python | false | false | 1,370 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.10.5 on 2017-08-05 08:51
from __future__ import unicode_literals
from django.db import migrations
import wagtail.core.blocks
import wagtail.core.fields
import wagtail.embeds.blocks
import wagtail.images.blocks
class Migration(migrations.Migration):
dependencies = ... | [
"hnykda@gmail.com"
] | hnykda@gmail.com |
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