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classes | is_generated bool 2
classes | length_bytes int64 2 10.3M | extension stringclasses 246
values | content stringlengths 2 10.3M | authors listlengths 1 1 | author_id stringlengths 0 212 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f69ba9cebdceefbbc74e3b1897f434dfd5b5792d | 88492694761b3a4a09a612b13e62b1339ba5e69c | /src/search/loader.py | 781fa5e9b5c61ab6a5c9839f896e188ac36c234e | [
"MIT"
] | permissive | igarashi339/disney-network | cff257704b932cadc67fd78e659a994ce8ce74e5 | 76d3a628add4d268d2b8864c978bf9a081d4be70 | refs/heads/main | 2023-09-03T12:55:27.937299 | 2021-11-07T13:23:36 | 2021-11-07T13:23:36 | 357,179,122 | 2 | 0 | MIT | 2021-10-02T11:15:25 | 2021-04-12T12:08:45 | Python | UTF-8 | Python | false | false | 1,322 | py | import json
class Loader:
def __init__(self, input_data_path):
self.spots_json_path = input_data_path + "spots.json"
self.links_json_path = input_data_path + "links.json"
self.nodes_json_path = input_data_path + "nodes.json"
def get_nearest_node_id(self, spot_id_org, spot_id_... | [
"igarashi339@gmail.com"
] | igarashi339@gmail.com |
d20193ef0287422fa66d20f0836d9d60526f6e1a | 61e300590cde2b01ec7834275087e7c408e8afec | /carts/views.py | 0b392b011ce9b329661e2a8ea25b9a1f000aaadd | [] | no_license | nabhanda/shopwithus | 7c4f450765b0b63018f20ece8cc933cf58c132d8 | 37f178f39090d4f7c25320aecf9455dbce657670 | refs/heads/master | 2020-03-23T22:47:41.514598 | 2018-10-12T13:07:26 | 2018-10-12T13:07:26 | 142,197,984 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,781 | py | from django.http import JsonResponse
from django.shortcuts import render, redirect
from accounts.forms import LoginForm, GuestForm
from accounts.models import GuestEmail
from orders.models import Order
from product.models import Product
from billing.models import BillingProfile
from addresses.forms import AddressForm
f... | [
"nabhanda@oradev.oraclecorp.com"
] | nabhanda@oradev.oraclecorp.com |
c9ff13c653b1b1f790075ec691191d371ddc12d8 | bdd6168675bbb09d483119afd6accceb13666b14 | /modimport/browser.py | 2550cbde5bdff1ea36cb8675519afdc96012743c | [] | no_license | AnDa-creator/Python-games-and-projects | e9c14730eaeef54d713f35cfbdcb967ed9fab263 | 7ff9dd58c6602defa638d4e28976b7fbeb0a2b2c | refs/heads/master | 2022-12-04T12:12:42.424375 | 2020-08-13T15:25:09 | 2020-08-13T15:25:09 | 287,167,181 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 42 | py | import webbrowser
webbrowser.open("http") | [
"anuranan.fifa14@gmail.com"
] | anuranan.fifa14@gmail.com |
38ffeefe71c4acb79a5a838efeb26765465afa7f | 159d4ae61f4ca91d94e29e769697ff46d11ae4a4 | /venv/bin/iptest | 62ac6036fc5f261d69ea933bb91ed9bee7ded5ca | [
"MIT"
] | permissive | davidycliao/bisCrawler | 729db002afe10ae405306b9eed45b782e68eace8 | f42281f35b866b52e5860b6a062790ae8147a4a4 | refs/heads/main | 2023-05-24T00:41:50.224279 | 2023-01-22T23:17:51 | 2023-01-22T23:17:51 | 411,470,732 | 8 | 0 | MIT | 2023-02-09T16:28:24 | 2021-09-28T23:48:13 | Python | UTF-8 | Python | false | false | 269 | #!/Users/yenchiehliao/Dropbox/bisCrawler/venv/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from IPython.testing.iptestcontroller import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"davidycliao@gmail.com"
] | davidycliao@gmail.com | |
27963a655be8a9cba63d2ffd03c96a21734e4eb4 | 05820ee892f87fe47df107deb48ef456c952699f | /bashfuscator/modules/string_obfuscators/hex_hash.py | ccf220f9e1a5efcdd0ee19f0656f4774c59689c4 | [
"MIT",
"BSD-3-Clause"
] | permissive | maliciousgroup/Bashfuscator | 45bb5061b51baacd6c63b2ae6d7e4ef6ea514331 | a6279842acb43c9572c39283786ff4203efbb32f | refs/heads/master | 2021-01-04T23:30:59.929643 | 2020-02-28T15:38:58 | 2020-02-28T15:38:58 | 240,796,740 | 3 | 0 | MIT | 2020-02-15T22:28:03 | 2020-02-15T22:28:03 | null | UTF-8 | Python | false | false | 1,100 | py | import hashlib
from bashfuscator.core.mutators.string_obfuscator import StringObfuscator
class HexHash(StringObfuscator):
def __init__(self):
super().__init__(
name="Hex Hash",
description="Uses the output of md5 to encode strings",
sizeRating=5,
timeRating... | [
"jalefevre@liberty.edu"
] | jalefevre@liberty.edu |
7332bb72184308f1c755b9859e825e727dc18a52 | 2205363ea412aae36aa2c5f8b7d608cd8a158a03 | /Personal_Blog/Pb/Pb/settings.py | d3f8de8c66bb1455f934b84f6bb3190cd42b086b | [] | no_license | Akanksha2403/HacktoberFest2020 | 986ef7ba5595679085e5159d35c5a30d9e91ebc5 | 789762e3a4a3ad23fd2c1ca3b6cc3bc8f39eed82 | refs/heads/master | 2023-08-28T04:25:07.466359 | 2021-10-20T10:16:46 | 2021-10-20T10:16:46 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,674 | py | """
Django settings for Pb project.
Generated by 'django-admin startproject' using Django 3.2.6.
For more information on this file, see
https://docs.djangoproject.com/en/3.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.2/ref/settings/
"""
import ... | [
"lit2020026@gmail.com"
] | lit2020026@gmail.com |
181e07eb777edf892a8df8abc17d2ad592bd5481 | 7d8ad9e28a7c8bfe310e76eadaa866927d02cb63 | /backtesters/bollinger_momentum.py | 36f0ac71c1b724552a4363296ce3820bb1a468c1 | [
"MIT"
] | permissive | boochi046/crypto-price-analysis | 9b671abef2c39739d4e29de98427fc419e0119b9 | e9985479bb0e0128ce38cec48b870f3d1868b034 | refs/heads/master | 2020-04-14T02:36:58.276069 | 2018-12-19T15:51:40 | 2018-12-19T15:51:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,587 | py | '''Backtest Moving Average (MA) crossover strategies
'''
import math
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from datetime import timedelta
import talib
from backtester import Backtester
class BollingerMomentum(Backtester):
'''
Momentum strategy based on b... | [
"daniel@blackhatmedia.com"
] | daniel@blackhatmedia.com |
412d94ad7ce1d9d7b92b6406d8aa5350f3f77fe9 | 2e79b8f2e4cc5ea10789de787f787fdc56137993 | /leetcode/438.找到字符串中所有字母异味词.py | e1f674a878c118e39a1c3fa3bfafdb8b51fc9564 | [] | no_license | wangye707/Test | d486ccb0947f6a83662a73fb56554260d1445c30 | 0d5fb8ea7da79d7d168d99f7158c8aa5757a1d35 | refs/heads/master | 2020-06-04T05:48:46.132054 | 2020-04-28T14:53:30 | 2020-04-28T14:53:30 | 191,894,269 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,025 | py | #!D:/workplace/python
# -*- coding: utf-8 -*-
# @File : 438.找到字符串中所有字母异味词.py
# @Author: WangYe
# @Date : 2019/9/25
# @Software: PyCharm
def findAnagrams(s, p):
"""
:type s: str
:type p: str
:rtype: List[int]
"""
out = []
need = {}
for i in p:
if i in need:
need[i] +... | [
"1119744330@qq.com"
] | 1119744330@qq.com |
ff63ca733498c988042c4f9a7ee4df25ecdace7c | 1305723f2ab2297bc396a58e6542a77a8ed6de8a | /flashcards.py | ca2ad8b14c8de3262db11fe559763a999915a076 | [
"MIT"
] | permissive | sneakythumbs/flashcards | ff86d3fd2d9ce678be0e6475b66db99ee2ccced4 | b93e93981dc6529cb3c139278708e1027f730858 | refs/heads/master | 2021-01-22T09:47:40.544430 | 2015-04-29T19:51:17 | 2015-04-29T19:51:17 | 34,813,702 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 658 | py | import sys
import fileinput
from pylab import *
header = True
column = -1
prompt = raw_input("Enter the filename(s) to be read:\n")
files = prompt.split(", ")
for line in fileinput.input(files):
s = line.split("\t|\t")
if header:
print"Select language to sort by:",
for word in s[:-1]:
print "[" + word + "... | [
"sneakythumbs@users.noreply.github.com"
] | sneakythumbs@users.noreply.github.com |
1fa53956af9d567b5bb6cde0572f8a7cb11d736f | 70121257e52e0fd2f0895414fcee3c991737443a | /python_recipes/tfpreprocess_cifar.py | 33aaef3fdca4998831ffa5306a3bf25f080ae646 | [] | no_license | OlgaBelitskaya/cookbooks | 2e54208bb5e5157814deea6ff71cd7ce5b1e4972 | 216dde3e5617203371ed4c4bb7d9e8391640c588 | refs/heads/master | 2021-07-11T15:56:44.923442 | 2021-03-25T08:38:46 | 2021-03-25T08:38:46 | 99,447,645 | 0 | 3 | null | null | null | null | UTF-8 | Python | false | false | 1,672 | py | import warnings; warnings.filterwarnings('ignore')
import tensorflow as tf,numpy as np,pandas as pd
import tensorflow_datasets as tfds
from IPython.display import display,HTML
pd.set_option('precision',3)
tf.keras.backend.set_floatx('float64')
tfds.disable_progress_bar()
img_size=32
buffer_size,batch_size=10000,64
c1,... | [
"safuolga@gmail.com"
] | safuolga@gmail.com |
29511c1e8bcf903725d957b2e420756cc1908ad8 | 29d7ba390d4b6046666f783e682ea248108ea900 | /cbagent/__main__.py | 09669d3c032cc65f432c457e3e7024f81dfcc2cd | [
"Apache-2.0"
] | permissive | pavel-paulau/cbagent | 5f289fbaf08b997b55d270944d67f716ec1a127a | f905974d663e0320e55a00076d292cbf489e53d9 | refs/heads/master | 2020-04-26T09:55:43.761203 | 2014-07-31T12:41:18 | 2014-07-31T12:41:18 | 13,084,444 | 2 | 1 | null | 2014-06-19T02:15:22 | 2013-09-25T04:52:21 | Python | UTF-8 | Python | false | false | 2,380 | py | import sys
from optparse import OptionParser
from cbagent.collectors.active_tasks import ActiveTasks
from cbagent.collectors.iostat import IO
from cbagent.collectors.latency import Latency
from cbagent.collectors.observe import ObserveLatency
from cbagent.collectors.net import Net
from cbagent.collectors.ns_server imp... | [
"pavel.paulau@gmail.com"
] | pavel.paulau@gmail.com |
2dca0bd1777f06f89dde2a3e9d3cc9bf911d1be5 | 58580154e99fce5f2baa1c2d23c8e587c08a730a | /mlsummary/clustering/_optics.py | 95d4b91bb2643463b029a5e02e4e7e9fae9fb972 | [
"BSD-3-Clause"
] | permissive | serafinialessio/mlsummary | 1376108c8a1c2b323045b5b9251bd0f5410c7705 | c7f6d047fbedf182571f595f7aa59a4652df4229 | refs/heads/main | 2023-01-13T22:25:26.540860 | 2020-11-24T17:01:45 | 2020-11-24T17:01:45 | 315,001,550 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,706 | py | import numpy as np
import pandas as pd
from mlsummary.clustering._clustering_functions import _clust_weight, _clustering_metrics, \
_clustering_evaluation, _store_X, _fm, _ari, _sil, _db, _ch, _clust_centers_X
from mlsummary.outliers._outliers_functions import _scatter_clusters_outliers
class opticsSummary:
d... | [
"srf.alessio@gmail.com"
] | srf.alessio@gmail.com |
05890e0e58f21f43e1df0280cae5ee8aba8974ad | 79e85494418b7236ab4519f35ee6a22349b3c531 | /TensorflowMNIST/tfMNIST.py | 4056e442d3bd80dd565a0fc8a2a8fe5c77f3f1d3 | [
"MIT"
] | permissive | raghavgupta0296/Learning-Deep-Learning-Libraries | 1e3014b88c7db7fc7a10957ade724d3de1fceef4 | 15cd020f1468d47bc9e09bcc12933a6aa8004792 | refs/heads/master | 2021-06-14T04:39:21.862036 | 2017-03-21T05:48:44 | 2017-03-21T05:48:44 | 68,845,257 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 904 | py | from tensorflow.examples.tutorials.mnist import input_data
import tensorflow as tf
mnist = input_data.read_data_sets('MNIST_data',one_hot=True)
# print (mnist)
sess = tf.InteractiveSession()
x = tf.placeholder(tf.float32,shape=[None,784])
y = tf.placeholder(tf.float32,shape=[None,10])
W = tf.Variable(t... | [
"noreply@github.com"
] | raghavgupta0296.noreply@github.com |
e170f688e59520f390ab02a6b3e1b52b161b747b | 66bfac516682bc8c3c804a5b7414cfc8b3440186 | /leads/apps/leads/serializers.py | 5e9d220555f6c26071a166a7b386b109ee1a7eb8 | [] | no_license | Izaiasjun1Dev/leads | 190d1bf01f1809c34cb53582e0f1020c3d704b58 | 22a209b43fd0eb60218deba731c9bf189ea9568a | refs/heads/master | 2023-04-05T15:15:39.834194 | 2021-03-30T11:35:36 | 2021-03-30T11:35:36 | 352,966,370 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 203 | py | from rest_framework import serializers
from .models import Lead
# Serializador lead
class LeadSerializer(serializers.ModelSerializer):
class Meta:
model = Lead
fields = '__all__'
| [
"solucaoprogramer@gmail.com"
] | solucaoprogramer@gmail.com |
71f27e6f44fc1dfef7571b27982acccf33236218 | 96dcea595e7c16cec07b3f649afd65f3660a0bad | /homeassistant/components/ring/siren.py | 7f1b147471d271411715ee41520529c0afef4805 | [
"Apache-2.0"
] | permissive | home-assistant/core | 3455eac2e9d925c92d30178643b1aaccf3a6484f | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | refs/heads/dev | 2023-08-31T15:41:06.299469 | 2023-08-31T14:50:53 | 2023-08-31T14:50:53 | 12,888,993 | 35,501 | 20,617 | Apache-2.0 | 2023-09-14T21:50:15 | 2013-09-17T07:29:48 | Python | UTF-8 | Python | false | false | 1,678 | py | """Component providing HA Siren support for Ring Chimes."""
import logging
from typing import Any
from ring_doorbell.const import CHIME_TEST_SOUND_KINDS, KIND_DING
from homeassistant.components.siren import ATTR_TONE, SirenEntity, SirenEntityFeature
from homeassistant.config_entries import ConfigEntry
from homeassist... | [
"noreply@github.com"
] | home-assistant.noreply@github.com |
9f1290f7f6f31c7b9141d7a8df5c908e18069708 | 28d74e08aeacf3703ab739849164e3f35f9af2a3 | /CUNY_ML_Course_CSC74020/Logistic Regression & Regularization/log_reg_book.py | c71385fcc0dbe1c06b9fd36e1807ff989c985224 | [] | no_license | wfeng66/Machine-Learning | 5ef87b2149bdf50e7516e808c86176b8c7aeb900 | de85d596ee97e7234d338ce47ee2addca56ccb89 | refs/heads/master | 2022-07-01T09:11:02.803824 | 2022-06-25T00:35:24 | 2022-06-25T00:35:24 | 173,125,231 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,788 | py | '''
create a logistic regression from scratch
including feature transform, PCA
apply Breast cancer data set
'''
import numpy as np
from sklearn.decomposition import PCA
from sklearn.preprocessing import StandardScaler
class log_reg():
def __init__(self, lr=0.25, epoch=100000, batch_size=4, fold=5, init='random')... | [
"weicongf73@gmail.com"
] | weicongf73@gmail.com |
df3b159fcb643903c95d367dee0173bd363b6814 | 685dbb4416caf20f3e7e9c701df35088cb308d98 | /pen_blink_detection/haar_face&eyedetection.py | b30f660c73698ceaca1c7994ef464cb5163f5785 | [] | no_license | cseho67/2020_senior_project | e4469afa9ee488c5d406c5bd037c20542133ff9d | a653c9751315cfb5d6a8713ea46e13cae964aa67 | refs/heads/master | 2023-03-23T09:55:31.328411 | 2021-03-12T11:28:22 | 2021-03-12T11:28:22 | 297,645,550 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,455 | py | import numpy as np
import cv2
def detectAndDisplay(frame) :
frame_gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
frame_gray = cv2.equalizeHist(frame_gray)
faces = face_cascade.detectMultiScale(frame_gray)
for (x,y,w,h) in faces :
center = (x + w//2 , y + h //2 )
frame = cv2.rectangle(... | [
"48603413+cseho67@users.noreply.github.com"
] | 48603413+cseho67@users.noreply.github.com |
f9d21162737f40168c323f56d4a303bf6211ce0c | c6d89d2507efe02ead1802649a769e021795b2b6 | /categories/context_processors.py | cb9c2687489bdc34c2746a89d05b11c34a37b16c | [] | no_license | ikonitas/pleasuresallmine | b671b05d2f13428973cc19d39e58d0b56d1914f0 | 875e6067a202be801a9b1fddb27c4d313fd133f4 | refs/heads/master | 2021-05-29T19:50:39.812885 | 2014-11-27T21:22:22 | 2014-11-27T21:22:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 375 | py | # coding=utf-8
from django.core.cache import cache
from models import Category
def list_categories(request):
categories = cache.get('list_categories')
if not categories:
categories = Category.objects.filter(
is_active=True).order_by('sort_order')
cache.set('list_categories', cate... | [
"ikonitas@gmail.com"
] | ikonitas@gmail.com |
ee2c0aca4610558fbd930ddc73708712cf37de3f | 7260b155bef0a6ea3454ea1a8d05c945db98b57a | /scripts/topic.py | 784af7b326871561334aab1e389d3250935cd990 | [] | no_license | freddie1129/web-enron-project | a0ad2a9e394daa8b3d31b052d15d60cb3e6591a0 | cdbfbecf69d4af0972bc3ffb5e5547357175acdf | refs/heads/master | 2020-03-23T12:29:48.304308 | 2018-11-12T14:51:11 | 2018-11-12T14:51:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,366 | py | #import spacy
#spacy.load('en')
from spacy.lang.en import English
parser = English()
def tokenize(text):
lda_tokens = []
tokens = parser(text)
for token in tokens:
if token.orth_.isspace():
continue
elif token.like_url:
lda_tokens.append('URL')
elif token.o... | [
"freddiechenchen@gmail.com"
] | freddiechenchen@gmail.com |
cc8e6f027c3f9a654091243124118655bba7ed21 | 0da2927420dec6003c7e745422ac708f2df6a129 | /FormatowanieTekstu.py | 19999ca8c82b8da164285161491f573cd05e3e6b | [] | no_license | KamilJantos/Python_I | a37bafc0ded945dd4fd2f303fe51ad0ee870fb0c | 660563015f01171c92a740b5b6437f09160a3030 | refs/heads/master | 2022-12-25T19:30:34.394224 | 2020-10-12T15:42:08 | 2020-10-12T15:42:08 | 303,437,968 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,903 | py | # formatowanie znane z Pythona 2.x
wyznanie = "Lubię %s" % "Pythona"
print(wyznanie)
wonsz = "Python"
print("Lubię %sa" % wonsz)
print("Lubię %s oraz %sa" % ("Pythona", wonsz))
# %s oznacza, że w miejsce tego znacznika będzie podstawiany ciąg tekstowy
# %i - to liczba całkowita
# %f - liczba rzeczywista lub inaczej zmi... | [
"kamil.jantos7@gmail.com"
] | kamil.jantos7@gmail.com |
f58e818470df252160aaaaa5eb5e4678b4f65192 | e8b3283b51da072bb3721f27250276e8ca09cb16 | /johnsonkuangwebsite/website/models.py | bfc721c9a7b1bd0bbb2dbc3a3ed5e447cf4a6162 | [] | no_license | johnsonkuang/johnson-kuang-website | 9f545cd9877e78e44325f27d8113f4b1724a010c | 804055acf5e0444f1d34b36664ad3239a5209b3b | refs/heads/master | 2020-03-27T09:46:35.779249 | 2019-01-11T07:25:07 | 2019-01-11T07:25:07 | 146,371,291 | 0 | 0 | null | 2018-11-05T21:56:24 | 2018-08-28T00:50:08 | CSS | UTF-8 | Python | false | false | 7,738 | py | from django.db import models
from django.dispatch import receiver
from django.db.models.signals import pre_delete, post_delete, pre_save, post_save, m2m_changed
from django.utils import timezone
from django.contrib.auth.models import User
from datetime import date
from image_cropping import ImageRatioField
from sorte... | [
"johnsonkuang@outlook.com"
] | johnsonkuang@outlook.com |
21df3f525aa8018d4988caa7395c9afa3a066060 | 18596ac4d79761a60e118c915378e0bb71bf0244 | /dangxuanENV/Scripts/dangxuan/apps/televisions/models.py | 9f2a88c225eb8c4170089c2a9ae0da4fea8f624f | [] | no_license | I-AM-DESPERADO/DjangoDemo | 06fdf5ecaa88a3b24d0368f95962a57c8ed85ff7 | 012edd11ee671211f52917d5b57dc480b5f7ad24 | refs/heads/master | 2021-09-07T11:21:55.586979 | 2018-02-22T06:20:26 | 2018-02-22T06:20:26 | 104,620,735 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,091 | py | # _*_ encoding:utf-8 _*_
from __future__ import unicode_literals
from datetime import datetime
from django.db import models
class TelivisionProgram(models.Model):
television_title = models.CharField(verbose_name=u'电视节目名称', max_length=255)
note = models.CharField(verbose_name=u'描述', max_length=255,null=True)... | [
"1569890780@qq.com"
] | 1569890780@qq.com |
7bae5f6dbc68ac4b1343bd97117e35335e733b41 | bf6b1e77e548d90c9a0e456d7cd1b6555c7f32ba | /Zookeeper.py | 1187b6819fe60c8787614b23b21c6e078eab2e3c | [] | no_license | saiganeshrajakommuri/ZookeeperProject | b3d05aa0f2f9e5b79d7c1baa9cc1690b37bcebbb | b34828a35405ffae23f7b02e388dbacb9c354ad5 | refs/heads/master | 2022-11-18T22:57:09.259111 | 2020-07-18T12:22:39 | 2020-07-18T12:22:39 | 272,244,167 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,425 | py | camel = r"""
Switching on camera from habitat with camels...
___.-''''-.
/___ @ |
',,,,. | _.'''''''._
' | / \
| \ _.-' \
| '.-' '-.
| ',
| '',
... | [
"noreply@github.com"
] | saiganeshrajakommuri.noreply@github.com |
5946ceacec2ae4a3be3c157b5b5d605114c3ed7c | e0f0379c84b858959950fa25c19a80c453ec05b5 | /main.py | 8a3fea249dc3b5421d5da29f208a66712c538d0b | [] | no_license | fuwalab/popular-noun | 26e87362f58dae0b2447cd1e8580115d075c0bc6 | 0d4964938ea8a4a2a9c946fe60de7abab0ae7911 | refs/heads/master | 2020-04-14T23:44:53.671033 | 2019-01-08T14:49:04 | 2019-01-08T14:49:04 | 164,214,388 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 736 | py | #!/usr/bin/env python
from scraping import Scraping
from datetime import datetime
from lib.analyze import Analyze
from joblib import Parallel, delayed
def main():
providers = [
'naver',
]
"""スクレイピングした内容をテーブルに保存する"""
# Parallel(n_jobs=1, verbose=0)([
# delayed(Scraping.run)(Scraping(),... | [
"ryo.tsugawa@gmail.com"
] | ryo.tsugawa@gmail.com |
8cd2cc4ef6bde6bb958a5160732122d1e4d5c2af | b46513de1a1fe8eadbd01518fc6b8067de277aee | /vdbm/dumb.py | 242e9f060e0925f6dc82f8bc9f9bc41d641c8dc1 | [] | no_license | vrthra/taint-demo | b4b83f28727341d1723df1157e8a8ac67fc69097 | 9eb50f214dc5178b27ba7e4945441b31091037f9 | refs/heads/master | 2021-08-30T23:21:00.371936 | 2017-12-19T20:16:05 | 2017-12-19T20:16:05 | 114,804,336 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,187 | py | """A dumb and slow but simple dbm clone.
For database spam, spam.dir contains the index (a text file),
spam.bak *may* contain a backup of the index (also a text file),
while spam.dat contains the data (a binary file).
XXX TO DO:
- seems to contain a bug when updating...
- reclaim free space (currently, space once o... | [
"rahul@gopinath.org"
] | rahul@gopinath.org |
26f81f4eba18c5a190446ffa466434e3ef381ba3 | 41047972c9becb8ae49249b01947f4c9b97f30ed | /VPN/NTU_gcnn_Loader.py | 0c2993db0a6a15eb2956f1171ede1bb45b76641a | [] | no_license | tranminhduc4796/vpn_action_recognition | c25a5ce397268f7088ec4aade6cdb2d951829d93 | 6c2e78f2bf0b312e047ba73eb585e660e96f60d3 | refs/heads/main | 2023-02-22T19:57:59.188150 | 2021-01-20T08:34:52 | 2021-01-20T08:34:52 | 327,543,723 | 3 | 3 | null | 2021-01-19T15:29:36 | 2021-01-07T08:03:19 | Python | UTF-8 | Python | false | false | 5,367 | py | import os
import numpy as np
import keras
import glob
from random import randint, shuffle
from keras.utils import to_categorical
import cv2
from sklearn.preprocessing import LabelEncoder
os.environ['KERAS_BACKEND'] = 'tensorflow'
seed = 8
np.random.seed(seed)
class DataGenerator(keras.utils.Sequence):
def __in... | [
"ductm21@vingroup.net"
] | ductm21@vingroup.net |
dbdee5eef5cc684505c11a610e47fa8b0e522e5e | d6529fb62de5f5b41ba46c49bb73dd8ae9bb4194 | /tools/conversion/Converter.py | 35dbd564005fc1bdbda16dd1f0e3123683adc3a9 | [
"MIT"
] | permissive | Blackdevil132/aes | 45fb3d6b880fc9697c96c095c2283f78518fab67 | 4c1226ff2946ea9da9cea43e441c9cfda12ca972 | refs/heads/master | 2021-01-01T19:54:22.495680 | 2020-01-05T12:15:21 | 2020-01-05T12:15:21 | 98,718,294 | 0 | 0 | null | 2017-07-29T21:59:23 | 2017-07-29T08:05:55 | Python | UTF-8 | Python | false | false | 4,796 | py | from typing import List, Sequence
from tools.datatypes.State import State
from tools.datatypes.Byte import Byte
hexcToInt = {'0': 0, '1': 1, '2': 2, '3': 3, '4': 4, '5': 5, '6': 6, '7': 7,
'8': 8, '9': 9, 'a': 10, 'b': 11, 'c': 12, 'd': 13, 'e': 14, 'f': 15, }
hexcToBin = {'0': '0000', '1': '0001', '2':... | [
"larsbengel@uni-koblenz.de"
] | larsbengel@uni-koblenz.de |
e6ea0a18c418751b3458be9dd1196e1a7f5514d0 | 2d13b3206b04d663eed9c5cfe7b6d273abaab33e | /2.Algorithm/pycharm/SW Academy/20200309/harvest.py | 89098f8eaff5f7281c33299f947b60d69d741907 | [] | no_license | hdp0545/TIL | 0ba5378274f0076cd2b029581b292785a77207da | 6d6e5e54373bd71606823e97b3a5fb2d63a2784e | refs/heads/master | 2023-05-24T12:37:33.690750 | 2023-05-19T06:57:49 | 2023-05-19T06:57:49 | 235,004,133 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 316 | py | for test_case in range(1, int(input())+1):
N = int(input())
matrix = [list(map(int, [n for n in input()])) for _ in range(N)]
result = 0
c = N // 2
for i in range(N):
di = (N//2) - abs(i - (N//2))
result += sum(matrix[i][c-di:c+di+1])
print('#{} {}'.format(test_case, result)) | [
"hdp0545@gmail.com"
] | hdp0545@gmail.com |
0fa10e1e12f2045d34d5cda669f06aa86c592aa5 | 4c1f87b0830debf0363e12c3c97c9d3b75b645e3 | /day8/day8.py | 6aeeac631bfbd3f1b13b534b3d5f55b40f73743c | [] | no_license | EricRoe/advent_of_code_2018 | 06e2777c78b60a08ae90147695447f660434ab3c | f12feccdc38446bd0eaa70171800f4479c6e6da4 | refs/heads/master | 2020-04-09T10:46:19.520667 | 2019-07-25T05:47:40 | 2019-07-25T05:47:40 | 160,282,242 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 826 | py | with open('./input.txt') as f:
d = f.readline().split()
d = [int(i) for i in d]
#test = [2,3,0,3,10,11,12,1,1,0,1,99,2,1,1,2]
def get(tree):
#print(tree)
if not tree[0]:
# print('base ', tree[2:tree[1]+2])
return (2 + tree[1], tree[2:tree[1]+2]) # skiplen, meta
else:
skiple... | [
"eric.roe@outlook.com"
] | eric.roe@outlook.com |
1a5b1416d35a4f87113659da2f108d396f184d69 | ab5a01f0fef7f3d824aa2adead9d3e5ed4e48037 | /UtilitySplit/venv/bin/flask | 444bb9f13ad9e69a8a712bcde7a829a81d8f3a93 | [] | no_license | bob7479/UtilitySplit | 41ee0dc94a10dfcd6ab46a336709df82da046051 | 3837984b13ffbd55b5a327ea95d33748d500fb96 | refs/heads/master | 2020-08-03T18:06:44.517823 | 2016-12-23T04:10:24 | 2016-12-23T04:10:24 | 73,541,541 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 252 | #!/Users/macbook/Documents/CalHacks/flaskr/venv/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from flask.cli import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"macbook@airbears2-10-142-157-15.airbears2.1918.berkeley.edu"
] | macbook@airbears2-10-142-157-15.airbears2.1918.berkeley.edu | |
6890538b1bc2e5cf2c76206fe2ff95cbc574e301 | 40ba7074036d7834543764ae5e1c37985ffd4335 | /main_blindPnP.py | e76c6ebe82ab7170fede3278d8dedffb6434465c | [
"MIT"
] | permissive | Liumouliu/Deep_blind_PnP | 47d54c09db4f5e3ebff6875507e2a0b42430fc0d | 0e3e679ffa58c4d0824abf138d0254744dce37da | refs/heads/master | 2022-06-08T03:02:25.109027 | 2022-05-11T12:34:11 | 2022-05-11T12:34:11 | 221,364,258 | 129 | 18 | null | null | null | null | UTF-8 | Python | false | false | 2,754 | py | import os
import random
from easydict import EasyDict as edict
import json
import logging
import sys
import torch.backends.cudnn as cudnn
import torch.utils.data
from config import get_config
from lib.data_loaders import make_data_loader
from trainer import BlindPnPTrainer
# logging
ch = logging.StreamHandler(sys.std... | [
"panpanfei@outlook.com"
] | panpanfei@outlook.com |
bd879dda1376bcb95331072006ffddb2e26bf6e4 | e0c176d11c7582158f1ab9722b3d1e71761f6b1a | /src/eqc/zholkovskij.py | 59e5d6d7f9eeb80d339ecabc602302f6803570c7 | [
"MIT"
] | permissive | robbje/eis | 93a199cfa52460707a84c037c7cb9ea0ad27732a | a7e0cac9e00e57f605cd9d9536d385a3f632e506 | refs/heads/master | 2021-01-18T22:24:42.178465 | 2016-07-11T08:55:55 | 2016-07-11T08:55:55 | 38,840,651 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,930 | py | import numpy as np
# Implements parts of the analytical transmission line models found in
# "Irreversible Thermodynamics and Impedance Spectroscopy of Multilayer Membranes" - E. Zholkovskij
# http://dx.doi.org/10.1006/jcis.1995.1034
def tanh(x):
np.seterr(all='raise')
try:
y = np.tanh(x)
except:
... | [
"robert.femmer@avt.rwth-aachen.de"
] | robert.femmer@avt.rwth-aachen.de |
ff904f46d578f25e760593eff96a4f1ec4b5dd35 | cef5a68531e6ebf90803c1ec95c21572ac13c139 | /places/__init__.py | 361279f1f8fe8dad090ef98e9e0ac753dd486822 | [] | no_license | ARAVINDBALAN/django-places | 3b4846a7797283349e15b9947d0db6d9fa544edf | 78c488638ecc639249837d51415075653a6bd6bb | refs/heads/master | 2020-03-27T16:23:25.388574 | 2017-09-10T00:33:24 | 2017-09-10T00:33:24 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,208 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import sys
# Weird encoding python2 hack :'(
if sys.version_info < (3,0):
reload(sys)
sys.setdefaultencoding('utf8')
from decimal import Decimal
default_app_config = 'places.apps.PlacesConfig'
__version__ = '2.0.0'
class Places(object):
... | [
"om.cortez.2010@gmail.com"
] | om.cortez.2010@gmail.com |
d8514be79f7861f9ae195854ba1d64ed810716ea | 3724a1b95e95e611cdd793d1af685f72dfea6b3e | /cloudcafe/networking/lbaas/lbaas_api/listener/client.py | ae712a2a12cef2e37f97dda90670c5fa142ac8e3 | [
"Apache-2.0"
] | permissive | kurhula/cloudcafe | 1b1e41994959cf959a49e19fea5cbda893d9c9df | 7d49cf6bfd7e1a6e5b739e7de52f2e18e5ccf924 | refs/heads/master | 2021-01-20T22:45:27.425724 | 2015-02-20T16:49:35 | 2015-02-20T16:49:35 | 31,156,531 | 0 | 1 | null | 2015-02-22T07:56:08 | 2015-02-22T07:56:07 | null | UTF-8 | Python | false | false | 6,979 | py | """
Copyright 2014 Rackspace
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
dist... | [
"franklin.naval@RACKSPACE.COM"
] | franklin.naval@RACKSPACE.COM |
c623380ca8277769f08041e14cc66374a1963eb7 | 5be7afab3f57b7b5365053700386c01bad7031e6 | /quotes.toscrape.com/1.2.quote_web_scraping/spiders/quotes_spider.py | 16b47d33a8206b7bb7caf819229b34ef62e264fb | [] | no_license | enji-coder/SCRAPY-PROJECTS | c0c76e1ef8697320a0cb9b3fa9155a158574a5c1 | bd65e6f3cf83912bc082ef39aba702db6cc4465c | refs/heads/main | 2023-06-20T19:11:36.764847 | 2021-08-04T04:39:08 | 2021-08-04T04:39:08 | 386,542,799 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 707 | py | import scrapy
class ExampleSpider(scrapy.Spider):
name = 'quotes'
allowed_domains = ['example.com']
start_urls = ['http://quotes.toscrape.com']
def parse(self, response):
all_quotes = response.css('div.quote')
# retrive all quotes title , author and tag details
# note it re... | [
"47570231+enji-coder@users.noreply.github.com"
] | 47570231+enji-coder@users.noreply.github.com |
aef44472f047aceb84b2c449b00ba97e0e4eeca1 | 6f160f5bb400a3a8cf01079320c8a4e5290f21e0 | /detect_stutter.py | 8e47ebe6c6c99df3adbb7b1e7392cc310e9b2464 | [] | no_license | mansi-k/Stutter-Therapy | 96729729028164124a98fb4dc6c4c218f11b6d48 | 4339bbe4a2c01b340548f8f3d58190ea358651a3 | refs/heads/master | 2021-08-28T11:36:16.945067 | 2021-08-20T14:23:09 | 2021-08-20T14:23:09 | 240,598,327 | 15 | 5 | null | null | null | null | UTF-8 | Python | false | false | 2,432 | py | import librosa
import numpy as np
import tensorflow as tf
from pydub import AudioSegment
from keras.models import load_model
import os
model_rep = load_model('/home/mansi/anaconda3/beproject/stutter_det/models/best_model_rep.h5')
model_pro = load_model('/home/mansi/anaconda3/beproject/stutter_det/models/best_model_pro... | [
"noreply@github.com"
] | mansi-k.noreply@github.com |
8a22a2ebe3c3159834157d2ebcd45a43c447d69a | 1a73c506a7528026f9215ccbf0bba55d4a322346 | /python/mail/SMTP-Header邮件.py | 4110e72e8bd0590d1152a48060c133dc47441fad | [] | no_license | clearLoveKang/myPython | c3b533553067fddaac26d5341e307b521de55944 | 33d437629db498db4e41b48cd233e81a1cb5eaaa | refs/heads/master | 2021-04-09T10:40:08.266133 | 2018-12-10T02:10:37 | 2018-12-10T02:10:37 | 125,455,226 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 835 | py | # -*- coding:utf-8 -*-
import smtplib
from email.mime.text import MIMEText
from email.header import Header
msg = MIMEText('小可爱,起床吃饭饭啦', 'plain', 'utf-8')
from_addr = input('form')
from_pwd = input('password')
to_addr = input('addr: ')
msg['From'] = Header('大佬康<*******@qq.com>', 'utf-8')
msg['To'] = Header('小宝贝<****... | [
"952472388@qq.com"
] | 952472388@qq.com |
35fe46be42a9c480e91d066a081e4accf192032f | 423a41dadbacb77339a45e2741ae27b334d31f4f | /web/contactx_web/settings.py | 518ac011ef49490bf09c5b92d95fc443f69b03ae | [] | no_license | tathagata/contactx | 6594ad84caaa5be2d24a40670d30260fca829e1a | 4f5cbdbd16e77829a6b1ab11542cc020e046e167 | refs/heads/master | 2020-05-30T23:06:01.461539 | 2012-08-22T21:23:33 | 2012-08-22T21:23:33 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,043 | py | # Django settings for contactx_web project.
DEBUG = True
TEMPLATE_DEBUG = DEBUG
ADMINS = (
# ('Your Name', 'your_email@example.com'),
)
MANAGERS = ADMINS
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.', # Add 'postgresql_psycopg2', 'postgresql', 'mysql', 'sqlite3' or 'oracle'.
'NA... | [
"tathagatadg@gmail.com"
] | tathagatadg@gmail.com |
dd5fcde7a9d2b752ffd11fa2e08293aa5ca7e1d2 | ec1460fe71ed7669dc86cf3fabad60a54704c275 | /main.py | 5c73e430eed95479923d46aee1d6c50ef9c0bf35 | [] | no_license | michoy/techathon_tellolib | 948d5c42ee895045788bf4191aad924068197507 | d2d606fd7fa4d956be8ea5ea2ac45977d6eca5f5 | refs/heads/master | 2020-08-11T08:15:11.820703 | 2019-10-12T09:25:24 | 2019-10-12T09:25:24 | 214,525,118 | 0 | 0 | null | 2019-10-11T20:40:20 | 2019-10-11T20:40:19 | null | UTF-8 | Python | false | false | 467 | py | from dronelib.dronelib_tello import TelloDrone
from dronelib.util import *
from time import sleep
def main():
drone = TelloDrone()
drone.activate()
drone.takeoff(1.0)
drone.set_target(0, 0, yaw=1.57)
print(drone.position)
print(drone.yaw)
image = drone.camera_image
save_image(image)... | [
"michael.hoyer3@gmail.com"
] | michael.hoyer3@gmail.com |
f37779ca9fecf3ff431fdb243d8bdb30859f1a21 | e70cc9ce5bf94d11d7c5d030abed5a0de26debb3 | /biocellion_frontend/bin/biocell/solver.py | 8c03f467ea6fa0093144599bfdf8361d90ba2d74 | [] | no_license | boaguilar/biocellion_python | 1c9f200142ee8892825fcdab90c68803da987742 | 0b3b48480436f21d9b46d07bd8f4da63b3e7a950 | refs/heads/master | 2021-01-11T18:44:51.924718 | 2018-05-02T21:15:24 | 2018-05-02T21:15:24 | 79,614,197 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,157 | py | from biocell import *
class Solver( ParamHolder ):
def __init__( self, name ):
self.mName = name
self.mEnumToken = "SOLVER_%s" % ( name, )
ParamHolder.__init__(self)
self.setPrefix( "SOLVER" )
self.addAttribute( Param( "name", "str", "", True ) )
self.addAt... | [
"larsen@dixie.edu"
] | larsen@dixie.edu |
69b06c5b9f0fa6a1d49e873a6054d2f98d73199e | 580daee0cc0a961664cae1dbce027f09aa1b1ebc | /Lab4/mysite/mysite/settings.py | 2ad06674b7af1f9a705f3038978ad089066442ce | [] | no_license | nmrchvz/cmput404-labs | a50cf115067adf842ddd73df308444e33c682d67 | 06d2ed47c59eb042ca76dc017606b2128fd288cc | refs/heads/main | 2023-08-06T10:34:51.408572 | 2021-10-05T00:13:40 | 2021-10-05T00:13:40 | 404,498,403 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,092 | py | """
Django settings for mysite project.
Generated by 'django-admin startproject' using Django 3.1.6.
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 ... | [
"npchavez@ualberta.ca"
] | npchavez@ualberta.ca |
5d00ff9e5462a42bd1845fa9ba16d12841903f29 | 3e4912fd783063e5f2c7a8f41e1daf8ddb607670 | /employees/serializers.py | ceff0c92ab6758257c4e3ada1874f6f9625ee453 | [] | no_license | Puja0708/multi-tenant-system | 6adad0993d7c5dc4e295e4a244a8e23506dbcaf1 | 25c325b5e5c9d6eaa31e5d4df516cfa7a23d8ce5 | refs/heads/master | 2020-03-27T22:35:35.115455 | 2018-09-10T11:55:49 | 2018-09-10T11:55:49 | 147,244,530 | 1 | 0 | null | 2018-09-10T05:11:31 | 2018-09-03T19:20:11 | Python | UTF-8 | Python | false | false | 820 | py | from __future__ import unicode_literals, absolute_import
from rest_framework import serializers
from employees.models import EmployeeRoles, Employee
class EmployeeRoleSerializer(serializers.ModelSerializer):
class Meta(object):
model = EmployeeRoles
fields = '__all__'
class EmployeeViewSeriali... | [
"puja@metarain.com"
] | puja@metarain.com |
0c3e715c31ed237c300f584fd1ce6e4102a51274 | f4c9e202ff98983702e7f6d132b70398fc81ab93 | /stb.py | 2b3ddcd72e32018b1f5402e9446589a33dbfe87e | [] | no_license | MrCheeze/skywardsword-tools | 5989f19bbc1a3c1f8fb37da91ad75ce6011adf01 | b69c7a3ad3805906a2dc6965666a9a356a8bf979 | refs/heads/master | 2020-05-30T13:30:52.045344 | 2019-06-22T18:46:08 | 2019-06-22T18:46:08 | 189,759,599 | 1 | 2 | null | 2020-01-04T21:01:39 | 2019-06-01T17:22:39 | Python | UTF-8 | Python | false | false | 1,404 | py | import glob
import collections
import struct
from util import *
for fname in glob.glob('Stage/**/*.stb', recursive=True):
print(fname)
f = open(fname,'rb')
f.seek(0x20)
parsed = []
while True:
seg_header = f.read(0x8)
if len(seg_header) <= 0:
break
seg_len, seg... | [
"fishycheeze@yahoo.ca"
] | fishycheeze@yahoo.ca |
41b0b6ae8bf47a9965ce80c9f09a4a499ded45fb | 51320b2d4101f347229227495762a646f4d41ad8 | /DDPG Agent - Continous Reacher Environment/a_memory.py | 0d786c87f67d03b62314438012e20ea985ee199c | [
"MIT"
] | permissive | szemyd/deep-reinforcement-learning | 805533eb9653c8b35009fcea00fc552d0bf99920 | 2dc2ab8511bcf3975c51dc057b66d2d500e2cf80 | refs/heads/main | 2023-04-11T12:51:56.732555 | 2021-04-26T11:20:23 | 2021-04-26T11:20:23 | 337,783,645 | 0 | 0 | MIT | 2021-02-10T16:30:51 | 2021-02-10T16:30:50 | null | UTF-8 | Python | false | false | 1,946 | py |
import numpy as np
import random
from collections import namedtuple, deque
import torch
import torch.nn.functional as F
import torch.optim as optim
from constants import *
class ReplayBuffer:
"""Fixed-size buffer to store experience tuples."""
def __init__(self, action_size, seed):
"""Initialize... | [
"szemy2@gmail.com"
] | szemy2@gmail.com |
9a047c55dc1dbee0270501e4c076765c88d3e4a8 | fe9a0558e78666150ca26fe7b8b2781061cf987e | /txtl/components/cds_tetr.py | 0190a5cf7985da94cb3c385eac8860899748ef62 | [
"BSD-3-Clause"
] | permissive | BuildACell/txtlsim-python | 8c3587b1a0356e6617da6b67a8554a7697776e8e | 5284a5477f38bbc8a956dc9608b0264ca672a331 | refs/heads/master | 2018-10-09T18:34:59.520569 | 2018-09-19T01:53:44 | 2018-09-19T01:53:44 | 111,568,117 | 4 | 4 | BSD-3-Clause | 2018-09-19T01:53:45 | 2017-11-21T15:38:53 | Python | UTF-8 | Python | false | false | 559 | py | # cds_tetr.py - TetR protein definition
# RMM, 11 Aug 2018
#
# This file contains the model for the TetR protein.
#
# Copyright (c) 2018, Build-A-Cell. All rights reserved.
# See LICENSE file in the project root directory for details.
from ..dna import ProteinCDS
#! TODO: decide if this should be CDS_tetr
class cds_... | [
"murray@cds.caltech.edu"
] | murray@cds.caltech.edu |
79e21cfbaa2d7f08d3295fa45bba76eb09349b63 | 8c82d71c8d8edb259405787e010b943f921214c5 | /job/urls.py | 2ace98de5728d5d4b084b6ea651457d9d6fe5817 | [] | no_license | Yossef-Dawoad/JOB_FINDER-django_demo- | 14f4358c396479d1a8a862688fa6210d61f025df | 8aacbcf3a1e269b0f2b2605093559476ca1674d7 | refs/heads/main | 2023-08-31T15:46:25.272822 | 2021-03-25T07:08:45 | 2021-03-25T07:08:45 | 351,337,435 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 357 | py | from django.urls import path
from . import views
from django.conf import settings
from django.conf.urls.static import static
urlpatterns=[
path('',views.job_list),
path('<int:id>',views.job_detail),
] + static(settings.STATIC_URL, document_root=settings.STATIC_ROOT)
urlpatterns += static(settings.MEDIA_UR... | [
"yossefdawoad15@gmail.com"
] | yossefdawoad15@gmail.com |
b7f7294d6eed3c6580709c80a3bbdedfde794b91 | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p03767/s342121711.py | e279603e0ad4d33f1c70bcc3c868122d20a4b586 | [] | 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 | 197 | py | n = int(input())
a = list(map(int, input().split()))
a.sort(reverse = True)
list = []
for i, j in enumerate(a):
if i % 2 == 1:
list.append(j)
answer = sum(list[0 : n])
print(answer) | [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
3a9a38abf83a67d5c4027f92a3dfc99fa6246173 | a60732108767b0da186463d2ad834821da01750e | /PDF-reader/app.py | ae75f891ab42b54cc51e1e7020c995cc07424e98 | [] | no_license | Luke943/QuickApps | 23c58db13094860cfdc595475e79fa8f433e7605 | 8aa6e2768f9c97e9235338499b937d29399341d1 | refs/heads/master | 2023-08-03T14:09:53.265624 | 2023-07-27T15:49:18 | 2023-07-27T15:49:18 | 329,692,452 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,646 | py | import tkinter as tk
import PyPDF2
from PIL import Image, ImageTk
from tkinter.filedialog import askopenfile
# initialise
root = tk.Tk()
root.title("PDF Text Extractor")
canvas = tk.Canvas(root, width=600, height=300)
canvas.grid(columnspan=3, rowspan=3)
# logo
logo = Image.open("logo.png")
logo = ImageTk.PhotoImage... | [
"luke.hartley05@gmail.com"
] | luke.hartley05@gmail.com |
167bfeaee564f8d3e016763b63baeb7fb6fca90f | 96537900c2170dab239d9c3f13e3c11fd262646f | /introducao_a_ciencia_da_computacao_com_python/primalidade.py | 74ee662d7f67078db88997d458d25981556376f6 | [] | no_license | lucasvini92/cursos | 31be37c17417acc0b19e0dc263f0245bc9ac7ac5 | cbba4b3efa328b0a05fad3f36bf6850c39962d08 | refs/heads/master | 2023-07-11T05:33:03.064262 | 2021-08-28T16:32:46 | 2021-08-28T16:32:46 | 376,107,134 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 220 | py | num = int(input("Digite um número inteiro: "))
div = 1
cont = 0
while num>=div:
if num % div == 0:
cont = cont + 1
div = div + 1
if cont <=2:
print("primo")
else:
print("não primo") | [
"lucasvsteofilo@gmail.com"
] | lucasvsteofilo@gmail.com |
1f6bb93da2698a8ef381c0b71b36dd2085b09945 | a8b2e3623533d454e484598024eac7b0d27b34a3 | /cosmoslik/cosmoslik_plugins/models/classyAACF.py | 758fdc5aa0356cfd881d9b25dcf44bb6dad625bd | [] | no_license | andy16777216/FiniteInflation | 087f08762cec62864871682508b14d2b9c97ab8d | 900b402124af30d7b1b5a13af6d1232708f55788 | refs/heads/master | 2016-09-06T01:27:02.289672 | 2015-07-16T18:48:42 | 2015-07-16T18:48:42 | 26,138,678 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,125 | py | from __future__ import absolute_import
from cosmoslik import SlikPlugin
from numpy import arange, pi
class classy(SlikPlugin):
"""
Plugin for CLASS.
Credit: Brent Follin, Teresa Hamill, Andy Scacco
"""
#{cosmoslik name : class name} - This needs to be done even for variables with the same name (be... | [
"ajscacco@ucdavis.edu"
] | ajscacco@ucdavis.edu |
9b76cc3e5a3c0554ecc498d1baca0cc45673e406 | b99e57154208f6ac74d40fdebf4416edc7b51a36 | /coding_challenge_6.py | bfb0a253361b075d1475f6f90be499448d0c0e3e | [] | no_license | Shaletanu/avodha_code_challenge | 1103186f84290e0b6451bb4759376f9df645286f | bac6a8f93c4a5bf51da95f884718578e0fc69458 | refs/heads/master | 2023-02-12T22:41:27.106797 | 2021-01-14T14:56:00 | 2021-01-14T14:56:00 | 326,682,650 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 290 | py | file1 = open("demo.txt", "w")
file1.write("Hello, I am Anu Shalet Philip.")
file1 = open("demo.txt", "r")
content = file1.read()
print(content)
file1 = open("demo.txt", "a")
file1.write("I am from Kottayam.")
file1 = open("demo.txt", "r")
content = file1.read()
print(content)
file1.close() | [
"shaletanu0@gmail.com"
] | shaletanu0@gmail.com |
33e3d04f28f29015f75634a2bf0fb461acc8a6cc | fe85e3675c1d665dcc09fb9814003fc1030aa5c2 | /utils/metrics.py | 3903650d448783ce5b7f7eb0108ff508904bf13e | [] | no_license | nik1806/coco-segmentation | ef25bf721f5f65f64f1fc32ea7abe1243deaaa64 | b6f94c8cef13660183483617c74373071022a78a | refs/heads/main | 2023-06-14T15:15:47.188118 | 2021-07-09T09:17:16 | 2021-07-09T09:17:16 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,249 | py | import numpy as np
class Evaluator(object):
def __init__(self, num_class):
self.num_class = num_class
self.confusion_matrix = np.zeros((self.num_class,) * 2)
def Pixel_Accuracy(self):
Acc = np.diag(self.confusion_matrix).sum() / self.confusion_matrix.sum()
return Acc
def ... | [
"290806078@qq.com"
] | 290806078@qq.com |
dfaffdcd61d7a94c5ada0c487c4730ac16adde76 | ac1a206541472b3fd096c928e511e7b13cf97733 | /python/src/cph.py | 3dc2f4a969eb45d7547b7a5e80731790b4417f53 | [] | no_license | ScorpioCPH/code | 2979d1e00476ae181cd979d81ba2a8f82a875d72 | faeef3383633d11f9f3e533c817b4bfac3c6d701 | refs/heads/master | 2021-01-19T09:52:09.721808 | 2017-12-08T11:42:59 | 2017-12-08T11:42:59 | 82,145,392 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 51 | py | # coding=utf-8
def print_str(str):
print(str)
| [
"scorpiocph@gmail.com"
] | scorpiocph@gmail.com |
b756c6d0e4cc938e243af0395a0c6bc9ec64ea18 | 31e71ffe0a7d283db1bc35509cc1e87bbc1ffb11 | /exercise/exercise29.py | 4d1f35041cead990dd8d4ce618b8b0a7210c4a8e | [] | no_license | dayadaoshanghai/Learn-Python-the-hard-way | 879d3435e3651481728e6e3a919ad25413cf4466 | cc635d5a752074c04e74b704b55b4b88ac9005b3 | refs/heads/master | 2021-01-01T17:24:47.118273 | 2017-07-31T12:42:34 | 2017-07-31T12:42:34 | 98,064,981 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 492 | py | people = 20
cats = 30
dogs = 15
if people < cats:
print("Too many cats! The world is doomed!")
if people > cats:
print("Not many cats! The wolrd is saved!")
if people < dogs:
print("The world is drooled on!")
if people > dogs:
print("The world is dry!")
dogs += 5
if people >= dogs:
print("Peop... | [
"noreply@github.com"
] | dayadaoshanghai.noreply@github.com |
e80586d7b73647ff3cab136e14a4b886a1f83e38 | e6789e78f86279eb1bda423aee5d6fffed23ae2d | /Source/Travel/app.py | f4dd6ac98d3ee596e13821aa9ef04498b60dc3b5 | [] | no_license | frankli0324/LCTF2018 | 4b4872db2c2c6ee75d8672c02000cc1b8eec9257 | b8d95312b534258c85e9bb2e34a0ce85f3858192 | refs/heads/master | 2022-11-15T02:50:08.902822 | 2020-07-12T06:47:25 | 2020-07-12T06:47:25 | 278,698,725 | 2 | 0 | null | 2020-07-10T17:50:07 | 2020-07-10T17:50:06 | null | UTF-8 | Python | false | false | 1,106 | py | # -*- coding: utf-8 -*-
from flask import request, render_template
from config import create_app
import os
import urllib
import requests
import uuid
app = create_app()
@app.route('/upload/<filename>', methods = ['PUT'])
def upload_file(filename):
name = request.cookies.get('name')
pwd = request.cookies.get('... | [
"tundrawork@gmail.com"
] | tundrawork@gmail.com |
533aa898ba74cdb427d7bac5c8d8a70e01eee588 | dba1be9c35a2044fb9d07a55f52b3740147b467e | /tests/bam2msa.py | 47cf401d9e5c528613aa6ab5a9fddb116f012c18 | [] | no_license | 849189526/BioExt | 2279cb2d76f158266a08b29d2e31b8300b411b89 | e36c3b4a118fb73281ae4f068fceb046f35ab1f6 | refs/heads/master | 2020-06-25T08:18:37.373893 | 2019-01-11T18:00:58 | 2019-01-11T18:00:58 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,490 | py | #!/usr/bin/env python3
import nose
import functools
import os
from Bio import SeqIO
from BioExt.io import BamIO
from BioExt.args import (
add_alphabet,
add_reference,
add_scorematrix
)
from BioExt.uds import _align_par
from BioExt.misc import compute_cigar, gapless
from BioExt.scorematrices import ... | [
"sweaver@temple.edu"
] | sweaver@temple.edu |
b2be71e62e17a50fa0a9622b560930e5da02e4ef | 3f928eaab094902a37f1c282f8fea9064769a3f0 | /proxy_check.py | d6a32569a935ea14a9059a26b2efde6a660f8916 | [
"MIT"
] | permissive | HimanshuNayka/YouTube-Viewer | f5e77ddf4bac5148e2944b2b0c9ca7cf8f988c2d | adf9f196a9ec8e681e4f94558e0ff55804ac9dd2 | refs/heads/master | 2023-04-09T06:19:34.677733 | 2021-04-17T08:44:13 | 2021-04-17T08:44:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,998 | py | """
MIT License
Copyright (c) 2021 MShawon
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distr... | [
"shawonk440@gmail.com"
] | shawonk440@gmail.com |
5e9075f5cad527f8659449177fea32357ade4ad8 | 96a91d882e73cff97da43eb92e79826570678ad0 | /done/county_process.py | afc3d40850b409a05a415f65e05ddbed2603f389 | [] | no_license | carrickdb/FakeNews | a7dea0b537709bfd3134c83c1a57391d95472596 | cc96e0b07f70e62ecc7525c65cbe71cdd465fb0d | refs/heads/master | 2021-10-21T18:38:05.596102 | 2019-03-05T17:48:29 | 2019-03-05T17:48:29 | 167,854,596 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,037 | py | import csv
"""
Converts file with votes by county and party to a pivot table with each county only listed once
"""
counties = []
with open("county_votes.csv", 'r') as f:
with open("processed_votes.csv", 'a') as g:
reader = csv.reader(f)
writer = csv.writer(g)
header = next(reader)
... | [
"carrickdb@gmail.com"
] | carrickdb@gmail.com |
569c0fe40b397c4990eb34ce4716eead233cf51f | e0ede722874d222a789411070f76b50026bbe3d8 | /practice/solution/0040_combination_sum_ii.py | 522d0209dcadd27bc9829d15d2270d94bb200cd4 | [] | no_license | kesarb/leetcode-summary-python | cd67456cb57bdff7ee227dab3930aaf9c2a6ad00 | dc45210cb2cc50bfefd8c21c865e6ee2163a022a | refs/heads/master | 2023-05-26T06:07:25.943854 | 2021-06-06T20:02:13 | 2021-06-06T20:02:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 761 | py | class Solution(object):
def combinationSum2(self, candidates, target):
"""
:type candidates: List[int]
:type target: int
:rtype: List[List[int]]
"""
self.res = []
self.dfs(0, sorted(candidates), target, [])
return self.res
d... | [
"weikunhan@g.ucla.edu"
] | weikunhan@g.ucla.edu |
87ac431ed770aef0ee07763a3f61bd864ed4841c | 092227c7e85555a5f2b547629a7e9639c34b7417 | /personal_portfolio/urls.py | 47fbf7302c14ab33b45f3cde91812f4ff657f2f7 | [] | no_license | Shibly10/django-personal-portfolio | d4093ebad23b04f6380009f56a55b5aeeb662a59 | b6618c09a21d121da64b1426cdd375b16f7ad99a | refs/heads/main | 2023-01-05T22:03:09.295517 | 2020-10-29T17:08:51 | 2020-10-29T17:08:51 | 308,362,724 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,060 | py | """personal_portfolio URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
... | [
"shibly.ar@gmail.com"
] | shibly.ar@gmail.com |
aa95ecd48c26cdc6d818087c90547e93aabb6d85 | a1662bb69ffb305c5182b41f102a17ec259b143a | /src/triangles/hashed_edge_iterator.py | 309bf35421ebdcaf3a4ecbaea597a536ec9e1b4b | [] | no_license | AndersHqst/SAAS-2014 | d5df874d835e6253e05f9b1d79f132297c24dbfb | 28b48e448baf678a8c954b78f70b8e6eed1de6fb | refs/heads/master | 2016-09-05T13:46:30.356794 | 2015-05-01T14:17:05 | 2015-05-01T14:17:05 | 34,905,988 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,700 | py | import utils
from time import time
# TODO: clean up
def print_stats(G):
edge_list_lengths = []
_max = 0
_min = 9999999
for key in G:
l = len(G[key][0])
if l < _min:
_min = l
if l > _max:
_max = l
edge_list_lengths.append(l)
avg = sum(edg... | [
"ahk@e-conomic.com"
] | ahk@e-conomic.com |
9233296ae37437b00a31b248c98072ae1ac1daeb | 3ed9e1c43f8560ad08ce7ffff83bdae8aaa0992a | /superset/datasets/commands/importers/v1/utils.py | c21c66ff18077bb2fed9927fb56fc49fc3a1d27e | [
"Apache-2.0",
"OFL-1.1"
] | permissive | sekikn/superset | 7e07b3a6f494ead275b43909a2f8990cf67e170c | 45020860d5c65f08c73f550054166ba1089fecef | refs/heads/master | 2022-12-22T13:25:37.095102 | 2021-05-25T21:59:05 | 2021-05-25T21:59:05 | 92,110,168 | 0 | 0 | Apache-2.0 | 2022-12-19T00:52:32 | 2017-05-23T00:03:38 | Python | UTF-8 | Python | false | false | 5,394 | py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | [
"noreply@github.com"
] | sekikn.noreply@github.com |
b92ba34be5084acd5dfdc2bbc230067045fbcdc5 | cc5dc60b5c343962bf7425865af8371b7e12e529 | /MagnitudeCalculator/Tester.py | a66bbb50a665010fc279ac775b2bd3b715d6641c | [] | no_license | debjyoti385/quakeanalysis | 044aa5f5a9429090ab7bd42370ea4b43d36c18d0 | 4e3225f1a20ae1f05e6be532836e4ff9ee405071 | refs/heads/master | 2021-05-04T11:31:50.052098 | 2017-02-28T00:35:36 | 2017-02-28T00:35:36 | 48,445,691 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,854 | py | '''from obspy.fdsn.client import Client
from obspy import iris
from obspy import arclink
from obspy import UTCDateTime
client = Client("IRIS")
iClient = iris.Client()
arcClient = arclink.Client(user="sed-workshop@obspy.org")
timeSeriesClient = iris.Client()
t1 = UTCDateTime("2012-04-12T07:15:49.1700")
#t1 = UTCDateTi... | [
"zinniamukherjee@Zinnia.local"
] | zinniamukherjee@Zinnia.local |
fcc07437f6183ea5ca1b7698be6bd8ec4aa4f8a1 | 6b62ec48d3772e3422053bc3d7eca2959b7fb88f | /platforms.py | 9b1ab27164c7c95f1cf3cf12acbdac633c44f1ff | [] | no_license | SueFolkerts/Python2InfinitePlatformerPhase5 | 89a6f4eee402e7a165b5f6dc0ed20f94b60f65f0 | 903be21ef091ea23c5ae3e0d78aaf3e02c48531c | refs/heads/master | 2020-03-23T13:11:40.634618 | 2018-07-20T19:16:49 | 2018-07-20T19:16:49 | 141,604,934 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 789 | py | import pygame, random
class Platforms(pygame.sprite.Sprite):
def __init__(self, pos, img_path, width=70, height=70):
super().__init__()
self.image = pygame.Surface([width, height]).convert()
self.image.blit(pygame.image.load(img_path).convert(), (0, 0), (0, 0, width, height))
self.im... | [
"sfolkerts@coinstar.com"
] | sfolkerts@coinstar.com |
ea9f4f343b6d8e2a0a698b51ce3bb7b4ef6f0749 | d749ebc7b7f0a686cf04f31bf59abb82a5ea28e4 | /sourceful/MusicMatcher.py | 4e26db72f55c8ebf7e209d190b477b76debaa87c | [] | no_license | ssa11200/python_warmup | c780a97fe823ce61512bf34d8434b339a14943b1 | 507285405fe4f7d43e1eecca9eb5ec5cdd217e74 | refs/heads/master | 2023-03-24T13:15:27.060823 | 2021-03-23T20:27:04 | 2021-03-23T20:27:04 | 343,135,876 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 784 | py | from .api_modules import (
analyse_feeling_polarity,
find_music_for_feeling,
find_lyrics_for_music,
)
class MusicMatcher:
def __init__(self, feeling):
self.feeling = feeling
self._music = None
self._lyrics = None
self._polarity = None
def _analyse_feeling(self):
... | [
"ssa11200@gmail.com"
] | ssa11200@gmail.com |
6bfa1fa52e42430692f0306be410aa035a39fb92 | 811acdfdd52a56a8440ca72c889bec850280b5ba | /libro/funcion_print.py | 1c05f5886b660b6b11ea36481ef57465e3a3e9eb | [] | no_license | josselinereyes841/CYPJosselineRM | ca36e4acbb242a290682c07234f3e7cf864e9114 | db42ec10b4529424c975f9dc4dcf53eef896efee | refs/heads/master | 2021-06-30T13:19:13.001339 | 2021-01-15T23:16:44 | 2021-01-15T23:16:44 | 207,672,080 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 715 | py | #print tiene 4 formas de uso
"""
1.- Con comas
2.- con signo '+'
3.- con la funcion format()
4.- es con una variante de format()
"""
#Con comas , concatenar agregando
# un espacio y haciendo casting de tipo
edad = 10
nombre = "Juan"
estatura =1.67
print(edad , estatura , nombre)
#Con '+' hace lo mismo pero no hace el c... | [
"josselinereyes35@outlook.es"
] | josselinereyes35@outlook.es |
3c156345bff5b954c74eae0c7acbc51069a76b7c | 67af82e4e3e654fd59dc8e14479907c084d68e4b | /LeetCode-Python/677. Map Sum Pairs.py | 638b4bab681c819d3d5830cb2219593a060b123b | [] | no_license | KaranJaswani/Codes | 6ba3f90cc3a0908ccfa4cf4c9b4794f5de6c63a6 | 0a833b8f666385500de5a55731b1a5590827b207 | refs/heads/master | 2020-05-30T07:12:37.383960 | 2017-12-30T14:06:45 | 2017-12-30T14:06:45 | 68,880,527 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,924 | py | class TrieNode(object):
def __init__(self, char, value):
self.character = char
self.value = value
self.isWord = False
self.children = [None] * 26
class MapSum(object):
def __init__(self):
"""
Initialize your data structure here.
"""
self.root = T... | [
"karanjaswani123@gmail.com"
] | karanjaswani123@gmail.com |
2376aebcad3f0702f3a564e5846c0a36edd5a57b | 2bbf7151418e9272da01440626b6a6c1e6aa1944 | /code/utils/tools.py | 353f7fc3cf498c6e392805ca0c7b48332638a7fe | [] | no_license | aliparac/AIMOS | b458c3c213095601cb38ac5ab109413f57278ea8 | 579b239f9ce3650c8f924c034128bfe9e7f67bdf | refs/heads/master | 2023-03-16T08:13:39.109936 | 2021-01-26T11:04:14 | 2021-01-26T11:04:14 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,985 | py | import numpy as np
import torch
from torch.nn import functional as F
from utils import architecture
#%%
def choose_architecture(config):
if( config['architecture'] == 'Unet64'):
model = architecture.UNet64(num_classes = len(config["trainingCIDs"]) + 1)
elif(config['architecture'] == 'Unet128'):
... | [
"noreply@github.com"
] | aliparac.noreply@github.com |
798efca679f2d54fa6c1a967b92fe1d157e03f55 | e3365bc8fa7da2753c248c2b8a5c5e16aef84d9f | /indices/nnfaulti.py | 0db9ec8c46bcffabd20b375fd10825d23728bee3 | [] | no_license | psdh/WhatsintheVector | e8aabacc054a88b4cb25303548980af9a10c12a8 | a24168d068d9c69dc7a0fd13f606c080ae82e2a6 | refs/heads/master | 2021-01-25T10:34:22.651619 | 2015-09-23T11:54:06 | 2015-09-23T11:54:06 | 42,749,205 | 2 | 3 | null | 2015-09-23T11:54:07 | 2015-09-18T22:06:38 | Python | UTF-8 | Python | false | false | 624 | py | ii = [('CookGHP3.py', 1), ('SadlMLP.py', 2), ('MartHSI2.py', 1), ('LeakWTI2.py', 1), ('KembFJ1.py', 1), ('WilkJMC3.py', 1), ('WilbRLW5.py', 1), ('GellWPT2.py', 1), ('SeniNSP.py', 1), ('LyttELD.py', 1), ('AdamHMM.py', 1), ('ClarGE.py', 3), ('DaltJMA.py', 1), ('NewmJLP.py', 3), ('CoopJBT.py', 1), ('LeakWTI4.py', 1), ('Me... | [
"varunwachaspati@gmail.com"
] | varunwachaspati@gmail.com |
6df06f09484f86ee27ca27323878d76a2cc016fc | c4c068b02899e333fb6d7d735bece664d257c563 | /pset8/mashup/helpers.py | e4858d86ab07cb1cccca30737499e3a730ef69be | [
"CC-BY-3.0"
] | permissive | eqmvii/CS50 | 442290ea91d6352617beaf8319e3c338bbf1d103 | 0024ea50131abefa4e87fc1b90cee8430a648575 | refs/heads/master | 2021-01-20T04:50:43.719740 | 2017-04-28T20:37:10 | 2017-04-28T20:37:10 | 89,742,887 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,096 | py | import feedparser
import urllib.parse
def lookup(geo):
"""Looks up articles for geo."""
# check cache for geo
if geo in lookup.cache:
return lookup.cache[geo]
# get feed from Google. !!! CURRENTLY TO AVOID SPAM BOT J'ACUSE FROM GOOGLE !!!
# http://news.google.com/news?geo=22044&o... | [
"coelomate@gmail.com"
] | coelomate@gmail.com |
b2bc2b0ea9c43e023c7ac3dd9a00da3a702d32f6 | 69d0dfacdbff0d7aeee16ad590ef18b7bacdbd0c | /app.py | b14ff69cc1da8ea9ed6af4b2019e8d5dd88f79d5 | [
"MIT"
] | permissive | ybangaru/wallstreetbets-sentiment-analysis | 0a628c84f2229e5df2700ae76883e94c4df4735c | dc5a632f93f2c3a4454b45f96f9e6b580c6c4be5 | refs/heads/master | 2023-05-12T15:03:47.594562 | 2021-05-24T21:18:07 | 2021-05-24T21:18:07 | 333,496,347 | 11 | 0 | null | 2021-05-04T20:35:43 | 2021-01-27T16:50:25 | Python | UTF-8 | Python | false | false | 7,250 | py | import streamlit as st
import numpy as np
import pandas as pd
import datetime
import os
import matplotlib.pyplot as plt
from wordcloud import WordCloud, STOPWORDS
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
import plotly.graph_objects as go
from sqlalchemy import create_engine
from sqlalchemy.p... | [
"yaswanthbangaru13@gmail.com"
] | yaswanthbangaru13@gmail.com |
dfab13a39ba70b6e52dbdf34305264365e154d8a | e4b7348387bbda5e4b44b69cfd015f52db892e5a | /Scripts/Workflow/make_1d_vmodel.py | 63f087d378942f64a32d6aaf8fb7d5f1f88e3624 | [] | no_license | calum-chamberlain/kaikoura-aftershocks | 9199e6949a08cf7cbd1f810faaf85325e86b736f | ec0ae1f100bc2e686f42c32fefeb18805d19ccfb | refs/heads/master | 2023-04-14T02:55:31.928872 | 2021-06-25T23:47:11 | 2021-06-25T23:47:11 | 310,416,172 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,182 | py | """
Script to extract an average 1D model from Donna's NZ3D model.
"""
import numpy as np
import pandas as pd
MODEL_FILE = "vlnzw2p2dnxyzltln.tbl.txt" # NZ3D 2.2 from https://zenodo.org/record/3779523#.YCRFaOrRVhF
def extract_one_d(
min_x: float = 72.0,
max_x: float = 110.0,
min_y: float = -100.0,
... | [
"calum.chamberlain@vuw.ac.nz"
] | calum.chamberlain@vuw.ac.nz |
b7c74db336e873841c529bfce999bb9f261be520 | 01e7b0d71126597de316e95858c54267ee30d3f5 | /data_utils/video_utils.py | d4e3ded1253752a0f6949ab56e3df9664f1adf80 | [
"MIT"
] | permissive | Sapphirine/201912-13-video-object-segmentation | 0604aaf8457e68139aef4cc6f56c324b6557b669 | cfd36f502385f99b39e309ae39309d5e1785cfc8 | refs/heads/master | 2020-11-26T17:09:53.467432 | 2019-12-19T14:59:01 | 2019-12-19T14:59:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,376 | py | import os
TMP_FOLDER = "tmp"
MODEL_FOLDER = "models"
cached_video = set()
cached_model = set()
for f in os.listdir(TMP_FOLDER):
if os.path.isdir(os.path.join(TMP_FOLDER, f)):
for i in os.listdir(os.path.join(TMP_FOLDER, f)):
if os.path.splitext(i)[1] == ".mp4":
cached_video.add... | [
"1178869226@qq.com"
] | 1178869226@qq.com |
05a3ec96169afb4787eb493000b49e279c8e524a | b6fe842749ca288b5e7f048c149b04f035f62b93 | /mydb/pymongo_sort.py | 04d1b772002037998bc33da0a68299c6aeb45b5f | [] | no_license | zxcvbnm123xy/leon_python | c8fa74dd0186402b9edf7466f9a28a6fa586b17c | b68f5d5e8240c5a99ec7c155fb85f816ac0d54d1 | refs/heads/master | 2020-03-27T03:03:43.610701 | 2018-11-14T09:17:15 | 2018-11-14T09:17:15 | 145,836,887 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 475 | py | # 加载依赖
import pymongo
# 创建连接
myclient = pymongo.MongoClient("mongodb://localhost:27017/")
# 定位到数据库mongo_python和集合sites
##use mongo_python
mp = myclient["mongo_python"]
sites = mp["sites"]
#按照alexa降序，name升序 db.sites.find().sort({"alexa": -1, "name": 1})
siteList = sites.find({}, {"_id": 0, "name": 1, "alexa": 1})\
... | [
"737878501@qq.com"
] | 737878501@qq.com |
37d16ddeb7663fc42eb684c9fd238cc1286dc69c | 6c202bfadef2d80242567be70e2437e384a96b20 | /IO/IO.py | b7ef9cb9e50b01ac979792f2d15848dbfe3327fd | [] | no_license | hoylemd/Python | 257acecc1bc6c0e21d7c9bffc2d3b8861add9dab | 39e3863c87d83883d15e5db39a5fd5ce605b6ebb | refs/heads/master | 2018-12-28T20:33:16.497465 | 2012-10-15T02:44:36 | 2012-10-15T02:44:36 | 1,898,329 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 83 | py | # read a string from the terminal
str = raw_input()
# print it back out!
print str | [
"hoylemd@gmail.com"
] | hoylemd@gmail.com |
a2098e532178626c84dfc0a6903f249677bf9452 | 66c959e86bc9e44134f905411dcfca772111727c | /read_serial.py | e2542d445cb1b428315d864e69adf5d445cdb4a1 | [] | no_license | Rohan1997/Heat-Map | 18a71c258e6da0c2995b77ae3b2bd59bc7380402 | ba1f1b3cd7dfe8bc20c6716182e9bbb338dc706f | refs/heads/master | 2020-03-09T17:51:54.515814 | 2018-04-21T12:19:44 | 2018-04-21T12:19:44 | 128,918,123 | 0 | 0 | null | 2018-04-10T12:12:20 | 2018-04-10T10:53:23 | Python | UTF-8 | Python | false | false | 2,707 | py | # Basic working code for reading data directly into python
import serial
import time
# This port address is for the serial tx/rx pins on the GPIO header
SERIAL_PORT = '/dev/rfcomm0'
# Set this to the rate of communication between PC and HC-05
SERIAL_RATE = 115200
def char_to_float(units, tens, hundreds, thousands)... | [
"noreply@github.com"
] | Rohan1997.noreply@github.com |
36ae4bf7acd0fbbd49bef683b159f3a04f225313 | 9c395cde750544f92eaaaa7e2c38981ee05c023b | /tetris.py | 7726ba1a31a3036f7d6e8e6f40654cf5400f8730 | [] | no_license | MukulBarai/Block-Puzzle | a4c39e703d7393b1dbade71a9067f4fbd3f5bd0f | eb16527ca159906bf688e9439c6bcc8baf6e0bc7 | refs/heads/master | 2020-12-21T20:44:09.937514 | 2020-01-29T10:13:02 | 2020-01-29T10:13:02 | 236,554,530 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,363 | py | import pygame
import time
import random
import copy
#Declaring Variables
col = 20
row = 40
blockW = 15
width = col * blockW
height = row * blockW
gameOver = False
matrices = []
#Variable for clock
startTime = time.time()
clockTime = 0.25
nTime = 0
#Initializing pygame
pygame.init()
window = pygame.display.set_mode... | [
"mukulbarai82@gmail.com"
] | mukulbarai82@gmail.com |
2912d2a93ef0093a5fc03526ab6241d7cb22a290 | 5f4a544e4903bc8fcfcd67e18a8a615e76b36974 | /dog.py | 5bb3af7c0a7e6898df925d697416d2ed0d61731b | [] | no_license | tkkohei/hangman | a6d4fbbccd0c5a2c4488206649cf662a04c13dac | 6e4d20366fae171fd5fa8391c93ceceedd29eebb | refs/heads/master | 2020-09-07T00:08:23.779349 | 2019-11-10T03:39:28 | 2019-11-10T03:39:28 | 220,597,870 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,136 | py | class Dog:
def __init__(self, name, age, weight):
self.name = name
self.age = age
self.weight = weight
def bark(self):
if self.weight > 29:
print(self.name, 'says "WOOF WOOF"')
else:
print(self.name, 'says "woof woof"')
def human_years(self)... | [
"kenjimitana@gmail.com"
] | kenjimitana@gmail.com |
ec85b4f9323253ff48527e8e39cfd5d87818c3b9 | 2b01bc8e7af1cecbb9fcc19003e39cac34302824 | /backend/backend/settings.py | 60771b66ca8921eb1aa87be8d6b52d26174f3ec6 | [] | no_license | pushp1997/django-react-ToDo | 19db10806c1f84214fc0661cda4df40ede9af5a1 | b4347ab10b97860881028eebeb11a3eb68066f6e | refs/heads/master | 2020-07-06T14:31:37.702231 | 2019-08-19T14:10:18 | 2019-08-19T14:10:18 | 203,050,696 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,322 | py | """
Django settings for backend project.
Generated by 'django-admin startproject' using Django 2.2.4.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.2/ref/settings/
"""
import os
#... | [
"pushptyagi1@gmail.com"
] | pushptyagi1@gmail.com |
3c07bcfba5b64326ebbc13e40028b85a23b263a6 | 0d0fc8fbe57a2ea04e4c8b1193f7a222b4885c0d | /guppypy/x86_64.py | 28359221129c6d2386d71238d824fe5c16d3443b | [
"MIT"
] | permissive | alexpatel/guppypy | 350ccabfe3419e381fb8ca12aaa853958c2fd09a | 99e8cee2bceaa39922dfef047ae631e5e6cac941 | refs/heads/master | 2021-01-01T17:11:16.838570 | 2017-08-01T00:16:07 | 2017-08-01T00:16:07 | 98,016,177 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,331 | py | from pysmt.shortcuts import Symbol, Int, And, GE, LE, LT
from pysmt.typing import INT
# x86_64 BarrelfishOS user-space system call argument conventions
machine_description = lambda regs: And(
# each register in regs has to be loaded from user stack
And(reg.has_valid_stack_slot() for reg in regs.values()),
... | [
"patelalex02@gmail.com"
] | patelalex02@gmail.com |
35cb7793738f6b54b9ee1b5787d61123bef9078c | e65a4dbfbfb0e54e59787ba7741efee12f7687f3 | /devel/py-plex/files/setup.py | 8dd6df636fa7769ec66d39646010d04752d975bc | [
"BSD-2-Clause"
] | permissive | freebsd/freebsd-ports | 86f2e89d43913412c4f6b2be3e255bc0945eac12 | 605a2983f245ac63f5420e023e7dce56898ad801 | refs/heads/main | 2023-08-30T21:46:28.720924 | 2023-08-30T19:33:44 | 2023-08-30T19:33:44 | 1,803,961 | 916 | 918 | NOASSERTION | 2023-09-08T04:06:26 | 2011-05-26T11:15:35 | null | UTF-8 | Python | false | false | 124 | py | from distutils.core import setup
setup(
name = 'plex',
version = "%%PORTVERSION%%",
packages = ['Plex'],
)
| [
"perky@FreeBSD.org"
] | perky@FreeBSD.org |
0d497de579e262500807394359bad38278397bee | 90ea49bb872623a0fc117632df0232f26e078033 | /redis_main.py | 6e22c3d257bc2ca5b18745dc8e70d73601aefcc6 | [
"MIT"
] | permissive | JX-Wang/Redis-servcie-T | e4612967a30c8c18ba5fa51aac91482e5f4f591a | 26005d0b15defa8628220512046aadc94765bd5b | refs/heads/master | 2020-06-17T04:39:28.779495 | 2019-07-09T12:35:38 | 2019-07-09T12:35:38 | 195,799,949 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 263 | py | # usr/bin/env python
# coding:utf-8
"""
redis Notes
============
Date@2019/7/9
Author@Wangjunxiong
"""
import redis
try:
r = redis.Redis(host="39.106.165.57", port=6379, db=0)
r.get("msg")
except Exception as e:
print "Connect Error as -> ", str(e)
| [
"1411349759@qq.com"
] | 1411349759@qq.com |
d7cb7e3d8b6e6939858dfba41a52bad6f3ce5423 | fc9dcc3d291f1c4f7e419cdf06ca1b56ec0fe94c | /Quiz_Age - 4.py | 6853b1d94ec828a607ef933220179bff0c9c5983 | [] | no_license | WilliamStacey/GeneralKnowledgeQuiz | d4d1020fb96ffc03b263ebbeae28be70cdf27f02 | 4a22fb0143b6e9bd3967c17a848b71fea87d74be | refs/heads/main | 2023-08-16T02:06:29.596529 | 2021-10-21T23:14:19 | 2021-10-21T23:14:19 | 357,341,520 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 457 | py | #ask age
def age():
age = ''
while True:
try:
age = int(input("Enter your age: "))
if age < 10:
print("You are too young to take this quiz.")
raise SystemExit
elif age > 18:
print("You are too old to take this quiz.")
rai... | [
"noreply@github.com"
] | WilliamStacey.noreply@github.com |
04e81eb61b7efc691cb29caabfe5ffa22242caf9 | 0d0ba103050607a7e4994ee5253140f3e9c13f6f | /8-5.py | 8c2870cec98c8f81bebb1d51d146a603532b999d | [] | no_license | yinyangguaiji/yygg-C1 | ac30d8ae5fd3a51985723acd527844860e658dd6 | 08ef81785a44715680b2f8543ac665424f8ce63b | refs/heads/master | 2023-03-12T09:25:22.747657 | 2021-02-19T07:24:33 | 2021-02-19T07:24:33 | 332,170,674 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 173 | py | def describe_city(city,country='China'):
print(city + ' is in '+ country + '.')
describe_city('Chengdu')
describe_city('Beijing')
describe_city('London','Britain')
| [
"noreply@github.com"
] | yinyangguaiji.noreply@github.com |
f5ece496682064b3b75d259ee4b9a085cfcd7867 | 3333ed6da323c4dc3a4dab7f6a82f5d84db53f62 | /quiz_tests/quiz_1.py | 1fc684cac42394b07352042560b453a45436e68e | [] | no_license | NateOwl1108/assignments | 4823d49852eb2dad62b11d6be502cdb1f60a85fd | 4238420f262bcb0fc39b0e80ed08e5ddf97a26d3 | refs/heads/master | 2023-05-09T18:14:59.726344 | 2021-06-19T21:46:09 | 2021-06-19T21:46:09 | 291,084,944 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 540 | py | def separate_into_words(sentence):
return sentence.split(' ')
print(separate_into_words("look the dog ran fast"))
separate_into_words("look the dog ran fast")
def reverse_word_order(sentence):
words_list = separate_into_words(sentence)
reverse = words_list[::-1]
reverse_sentence = ''
reverse_sentence += reve... | [
"natedog112004@gmail.com"
] | natedog112004@gmail.com |
a351f9a383b7908bc81f7ee0129447f3b5624fb0 | ff652d85c1b2a6a22cea6bbd84e5d9f96b43c64b | /Final Deliverables/Code/ResultsVisualizer.py | b679753a857d9e45de272e3cd3c6c4c59cf537d9 | [] | no_license | ironhide23586/Map-Matcher | a3b9ecb7103e9500473eafbc6d62dc44093a7ca2 | c838ed59db9c3987913a669bb7204505dd4640d4 | refs/heads/master | 2021-03-24T12:05:19.572010 | 2018-11-10T05:22:47 | 2018-11-10T05:22:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,051 | py | import numpy as np
import matplotlib.pyplot as plt
import csv
def show_hist(arr, title_name, xlabel, show_plot=True):
hist, bins = np.histogram(arr, 30)
bins = bins[:-1].astype(np.int)
if show_plot == True:
ind = np.arange(1, bins.shape[0] + 1) # the x locations for the groups
maxs = hist
width = 0.... | [
"sbiswas7@hawk.iit.edu"
] | sbiswas7@hawk.iit.edu |
f6e16e606ad5e19332738646c1e75716288366be | a462e55dceb569502bb7c9e4460522af296f49b6 | /code/lisa-caffe-public/examples/new_lrcn/data_verify.py | c3391d21b202bd9d718f12b6a9597bc30dafdd2e | [
"BSD-2-Clause",
"LicenseRef-scancode-generic-cla",
"LicenseRef-scancode-public-domain"
] | permissive | giserh/cluster_video | 1e83ff130cf80e409815ba5fe8e89f2715422591 | 8c5f4157b76f768138b7c19261d396cdf9122866 | refs/heads/master | 2021-01-24T12:36:18.183421 | 2017-03-13T01:22:43 | 2017-03-13T01:22:43 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 797 | py | import numpy as np
import scipy.io as io
import cv2 as cv
import sys, os
import caffe
import pdb
model_path = os.path.join( '/cs/vml2/xla193/cluster_video/output/UCF-101/snapshots_lstm_RGB/_iter_2500.caffemodel' )
print "Start loading network.."
# load net
net = caffe.Net('/cs/vml2/xla193/cluster_video/code/lisa-caffe... | [
"xla193@sfu.ca"
] | xla193@sfu.ca |
dc3441675e94bea8afa0085dc88c1917551088d9 | 18c0511cdaef2d09f07ed071e4f300a78368900f | /graphs/cases_per_admin_region_overtime.py | 210d828332e9dac41fba44f56b4128f0f5f5cc2a | [
"CC0-1.0"
] | permissive | ElNiak/covidbe-opendata | 3bcaca2ebf4a345d0529e5c69249ae0d83d0768f | 115883d379da91c72a260c66d4ae49b241b111f5 | refs/heads/master | 2023-04-09T12:59:11.414369 | 2021-04-21T04:40:43 | 2021-04-21T04:40:43 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 13,122 | py | from datetime import datetime, date
import geopandas
import plotly.express as px
import pandas as pd
import numpy as np
from flask_babel import gettext
from pages import get_translation
import plotly.graph_objects as go
from graphs import register_plot_for_embedding
geojson = geopandas.read_file('static/json/admin-u... | [
"pschaus@gmail.com"
] | pschaus@gmail.com |
5f6f23a6e9cdb54c79639f0bfb90bd8b840c903a | 169d83d58bee9581a59bebfdeaa5c479f681222e | /cart_pole.py | 8fe219f55458ffbb984caa81a7df0c5aebcb8c14 | [] | no_license | Ronnypetson/DQN | c62a9cc829d863e864591de2dab422e45f886dbc | 53662d6e44fe4524285293765d869c7667c6537f | refs/heads/master | 2018-10-24T15:27:43.313302 | 2018-08-21T03:11:48 | 2018-08-21T03:11:48 | 120,924,242 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,121 | py | import tensorflow as tf
import gym
import numpy as np
import os
import random
from collections import deque
env_name = 'CartPole-v0'
state_dim = 4
ob_frames = 1
num_keys = 2
learning_rate = 0.01
batch_size = 64
replay_len = 100000
oldest_mem = 0
default_action = 1
empty_obs = np.zeros((ob_frames,state_dim))
mem = repl... | [
"rsronnypetson4@gmail.com"
] | rsronnypetson4@gmail.com |
cc693a128105938fd7647af5527a511855e80f4c | abcfd07772ce75f34e51592189c29cf84d1a3611 | /flask/lib/python3.6/site-packages/whoosh/util/times.py | aded78f78b30e1d657ebea53c144a87c93bb6d1c | [] | no_license | yuhaihui3435/p_mc | 66d89bcccf214e53729b26a0f80ddee8797e9e3e | 3039a5c691b649fc88e941a2553b1a7e0aac2a0a | refs/heads/master | 2021-06-28T18:52:00.111385 | 2017-09-15T00:26:02 | 2017-09-15T00:26:58 | 103,524,396 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 16,948 | py | # Copyright 2010 Matt Chaput. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice,
# this list of conditions and the... | [
"125227112@qq.com"
] | 125227112@qq.com |
73be6368949f3dee451811616a66cda102ccc108 | abf3a3712cf12d1de4b2657e7dd38063d2f83534 | /ephys_functions.py | e226c6fab775ff3e3d34363aa91a2e2de9a52221 | [] | no_license | anupgp/ephys_analysis | 2876ca4371c5ced8b7d3db4e6c068bdf284b54b1 | 888ace8a440509de6007bd8e8cacdf6f0e5ddf81 | refs/heads/master | 2021-08-11T06:33:37.531018 | 2021-08-08T00:16:06 | 2021-08-08T00:16:06 | 246,890,724 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 814 | py | import pandas as pd
# contains all the accessory functions for ephys data analysis
# ---------------------------------------------------------
# joins values from multiple columns into a single column
# input: dataframe and the columns to combine
# return: a single column with joined values from the other columns
def... | [
"anupgp@gmail.com"
] | anupgp@gmail.com |
fdb85ea027d97f7491476a2ab44e654498f4b677 | da64a4bc36fd794cebce4fd527440b5e1a823a24 | /paging-tlb/homework/tlb_script.py | 0cb52f363747f5172314a0f144356cb1772afec9 | [] | no_license | prolific-dev/Betriebssysteme | 8f3f08feae1ad33231588fd2c84e2eb60d428b40 | a642fb448744653807349105eb3627a43512e86f | refs/heads/main | 2023-08-16T15:53:43.695940 | 2021-09-26T01:15:18 | 2021-09-26T01:15:18 | 349,684,332 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 946 | py | from numpy import *
import matplotlib.pyplot as plt
import subprocess
if __name__ == '__main__':
print("Anzahl an Veruchen: ")
nr_trials = int(input())
max_pages = 4096
print("Starte mit {} Versuchen... (Bitte warten)".format(nr_trials))
subprocess.run(["gcc", "-O0", "-o", "tlb.out", "tlb.c", "-Wal... | [
"de391ago@htwg-konstanz.de"
] | de391ago@htwg-konstanz.de |
bf7f467480751bd795551a06f18da4ced2b45588 | bbba463ab46369d22adc35dd1a819d4c8a994973 | /preprocess.py | 5a0c2d376fdec3bfcf3176859f651b99d9a65a5d | [] | no_license | ajdapretnar/SegTra | f74a7c13cbe8569a87193f160d70fc91b205ebeb | 76747824283dbf2f674f39e5a0e7ef10d5191d19 | refs/heads/master | 2020-04-02T17:29:13.797909 | 2019-05-24T09:27:22 | 2019-05-24T09:27:22 | 154,659,337 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,343 | py | import re
import pickle
import json
import lemmagen
from lemmagen.lemmatizer import Lemmatizer
from nltk.tokenize import RegexpTokenizer
import ufal_udpipe as udpipe
def remove_comments(corpus):
regex = "\\((.*?)\\)"
corpus['Questions'] = corpus['Questions'].apply(lambda x: re.sub(regex, '',
... | [
"ajdapretnar@gmail.com"
] | ajdapretnar@gmail.com |
7125de95fee231cb947372fc2fdf2d5816aca876 | 649cd51d3ce32dd4a89f781a14741d19b703350f | /server/clients/mfcClient.py | 73185ec8c1c16005d6c0e1ad2116c10ebff66a27 | [] | no_license | flybrains/clm | 03ff00c11c49e89f0adc9c2f801d8102fe0577fb | 2b6cfa66175d4d875baefc7a9c0497d912a988d0 | refs/heads/master | 2021-01-08T09:58:36.181550 | 2020-03-12T21:51:42 | 2020-03-12T21:51:42 | 241,995,438 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,046 | py | import time
import socket
import json
class MFCClient(object):
def __init__(self,lookup_table=None, oob_option=None, replay=True):
self.load_json()
self.host = self.config_data['local_host']
self.port = self.config_data['local_port']
self.replay = replay
#print('Started MFC... | [
"pstock@rockefeller.edu"
] | pstock@rockefeller.edu |
70a3cc57b63eaa1a001d1e47f6d3bb9473736a5c | f1ab57ae527f434dfb4a8db8f8242d67514d104c | /setup.py | 79119d9913116d04a8460dc8b142f6db6d4fbd5e | [] | no_license | abookStore/bookStore | f6de9c00297fe1290f3630a392ec5e2c0786d0b5 | 2c6b478c4c0aad217617b4260b27cf91078d5d08 | refs/heads/master | 2021-05-12T07:31:59.100221 | 2018-05-30T16:20:26 | 2018-05-30T16:20:26 | 117,246,596 | 0 | 3 | null | 2018-01-30T16:27:18 | 2018-01-12T13:52:37 | JavaScript | UTF-8 | Python | false | false | 273 | py | # -*- coding: utf-8 -*-
from setuptools import setup, find_packages
setup(
name='bookStore',
packages=find_packages(),
install_requires=[
'Flask',
'Flask-SQLAlchemy'
],
setup_requires=[],
tests_require=[
'pytest'
]
)
| [
"zhou.xun@qianka.com"
] | zhou.xun@qianka.com |
4fb8058533804c25fc812504e99f7c776b0d6bf3 | 590757ded91424c1216ec5027870b9e06d17e436 | /tests/test_figure.py | 13305a8b41a8cc9de62be13b954e57c5e524566a | [] | no_license | mkile/Figures_Class | 63c8b078c9fd5c9d8b979898a6d4fd2edab03856 | ec49ecd3525a2b2cbe5162417010a37871c619c9 | refs/heads/main | 2023-04-09T19:21:29.706139 | 2021-04-17T18:38:40 | 2021-04-17T18:38:40 | 355,606,945 | 0 | 0 | null | 2021-04-17T18:38:41 | 2021-04-07T16:07:52 | Python | UTF-8 | Python | false | false | 145 | py | import pytest
from source.classes import Figure
def test_baseclass_create():
with pytest.raises(Exception):
Figure('name', [1], 1)
| [
"mkiles81@gmail.com"
] | mkiles81@gmail.com |
da2897495af6a0514b4c1cc5803cd5a24e8c543c | 548b89cb1f7d9c953dedc61674525a0d1eadaf86 | /fdp/services.py | e79e13901564d42437bd4c42fdcd55299ab9ca95 | [
"BSD-2-Clause"
] | permissive | ScottishCovidResponse/fdp | c5a0b8ee8df9874f40fc6c20e376cc2fa1d410a8 | 5d67649048fffd19b9bf46e85545490001eb0b05 | refs/heads/main | 2023-04-25T00:24:01.565036 | 2021-05-13T15:57:57 | 2021-05-13T15:57:57 | 359,503,677 | 0 | 0 | BSD-2-Clause | 2021-05-21T13:59:29 | 2021-04-19T15:13:49 | Python | UTF-8 | Python | false | false | 865 | py | from pathlib import Path
import requests
from data_pipeline_api.registry.download import download_from_config_file
def registry_installed():
user_home = Path.home()
scrc_dir = user_home.joinpath(".scrc")
return scrc_dir.exists()
def registry_running():
try:
r = requests.get("http://localho... | [
"nathan.cummings@ukaea.uk"
] | nathan.cummings@ukaea.uk |
cc844affbd029334ae04e31e99055fa06ee0a668 | d7c9392aab11ffa4e94846198e4793015e22d48c | /ApproximatePatternCount.py | a45b6fc1e967aee52a73aecc9596717b4819e709 | [] | no_license | vk208/BMP | 46fb787339e53eb851b87baffa0b2f626ec5eff0 | 83cd09fb8d7ef463eb5b6cc6eefb564dc86a1bf8 | refs/heads/master | 2021-01-17T12:26:04.476703 | 2016-03-04T14:36:11 | 2016-03-04T14:36:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 892 | py | __author__ = 'Mohammad Yousuf Ali, aliyyousuf@gmail.com, fb.com/aliyyousuf'
# Our goal now is to modify our previous algorithm for the Frequent Words Problem in order to find
# DnaA boxes by identifying frequent k-mers, possibly with mismatches. Given input strings Text and
# Pattern as well as an integer d, we exte... | [
"aliyyousuf@gmail.com"
] | aliyyousuf@gmail.com |
77e62c1c823d2937af521648a473b6f93b4731f7 | 2834298c6a50ff7cfada61fb028b9fd3fc796e85 | /desenvolvimento/programas/magic_square.py | bc855866757b1a2961b256809c6df378cdebb02e | [] | no_license | ernestojfcosta/IPRP_LIVRO_2013_06 | 73841c45d000dee7fc898279d4b10d008c039fd0 | a7bb48745ad2fbfeb5bd4bc334cb7203d8f204a4 | refs/heads/master | 2021-01-22T05:00:57.868387 | 2013-06-07T11:00:55 | 2013-06-07T11:00:55 | 10,548,127 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 11,291 | py | # =============
# magic_square_
# =============
#
# *Simple operations with magic squares.*
#
# Copyright (c) 2007 `Alec Mihailovs`_ <alec@mihailovs.com>
# All rights reserved. Licensed under the `MIT License`_ .
#
# .. _magic_square: http://mihailovs.com/Alec/Python/magic_square.html
#
# .. _`Alec Mihailovs`: htt... | [
"ernesto@dei.uc.pt"
] | ernesto@dei.uc.pt |
ed377733d23fb5c6cc2ea478a613ec2ca714d70f | 8ea915b38738ec717e2ac763786005877cfc0064 | /Practice/practice02.py | 7726d69d700c832ee7b92bfdac92b968faa4571a | [] | no_license | jimmy43333/Python_Learning | 374e3c2695200ab3020e423d02513a6866530adb | 01672e23838827ac77dcf1c49034bde015d14be5 | refs/heads/master | 2023-08-14T17:54:18.630258 | 2023-07-12T14:07:28 | 2023-07-12T14:10:07 | 104,288,689 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,723 | py | import random as rd
def helper(member_list, team_list):
# print(best_friend)
best_friend = "TK"
score = [ rd.randint(1, 100) for ele in member_list ]
score.sort(reverse=True)
print(score)
def is_team_member(who):
if who in team_list:
return (0, who)
return (1, who)
... | [
"jimmy43333@gmail.com"
] | jimmy43333@gmail.com |
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