blob_id stringlengths 40 40 | directory_id stringlengths 40 40 | path stringlengths 2 283 | content_id stringlengths 40 40 | detected_licenses listlengths 0 91 | license_type stringclasses 2
values | repo_name stringlengths 3 135 | snapshot_id stringlengths 40 40 | revision_id stringlengths 40 40 | branch_name stringlengths 4 68 | visit_date timestamp[ns]date 2015-07-25 20:53:29 2023-09-06 10:46:05 | revision_date timestamp[ns]date 1970-01-01 00:00:00 2037-05-03 13:00:00 | committer_date timestamp[ns]date 1970-01-01 00:00:00 2036-02-09 17:40:36 | github_id int64 1.61k 691M ⌀ | star_events_count int64 0 209k | fork_events_count int64 0 110k | gha_license_id stringclasses 24
values | gha_event_created_at timestamp[ns]date 2012-06-03 10:21:33 2023-09-14 21:59:50 ⌀ | gha_created_at timestamp[ns]date 2008-03-27 23:40:48 2023-09-13 22:40:33 ⌀ | gha_language stringclasses 250
values | src_encoding stringclasses 27
values | language stringclasses 1
value | is_vendor bool 2
classes | is_generated bool 2
classes | length_bytes int64 6 10M | extension stringclasses 289
values | filename stringlengths 1 218 | content stringlengths 6 10M |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8d5457965017cbb80a4b50425dea2a0cb0eddd79 | dfa54c8b452f5651b3ee01a3adad280187d7d964 | /lsqpy/util/numpy_iface.py | 0b718a2669ec22347b2b4f819d0e84bdfe0f1876 | [] | no_license | keegango/lsqpy | 0283e688c1a733ca9001754da8cdd25b618fa916 | ed2b415667dbcb327b6dbbc95ed407909b9ca906 | refs/heads/master | 2020-05-04T21:06:11.400682 | 2014-08-06T21:45:09 | 2014-08-06T21:45:09 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 323 | py | numpy_iface.py | """
"""
import numpy as np
from lsqpy.exprs.affine import Affine
from lsqpy.exprs.variable import Variable
def override(name):
def ufunc(x, y):
if isinstance(y, Affine): return NotImplemented
return getattr(np, name)(x, y)
return ufunc
np.set_numeric_ops(
** {
ufunc : override(ufunc) for ufunc in ("equal")
... |
52ed6cb20d0393fa541ff8785bb40f86b387535d | 15f321878face2af9317363c5f6de1e5ddd9b749 | /solutions_python/Problem_96/718.py | 642cf38ac6ffbd22f5c046477b19201e370cda61 | [] | no_license | dr-dos-ok/Code_Jam_Webscraper | c06fd59870842664cd79c41eb460a09553e1c80a | 26a35bf114a3aa30fc4c677ef069d95f41665cc0 | refs/heads/master | 2020-04-06T08:17:40.938460 | 2018-10-14T10:12:47 | 2018-10-14T10:12:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 444 | py | 718.py | t = open('input2.txt')
t.readline()
SUR = {}
NOTSUR = {}
for index, l in enumerate(t):
l = map(int, l.split())
N = l[0]
S = l[1]
p = l[2]
T = l[3:]
smallest = max(p-2, 0) * 2 + p
cbs = 0
good = 0
for t in T:
if t < smallest:
continue
elif t in (3*p - 4, ... |
c9b863e3dd18f3b16ffd7c0e88fd735a450fca50 | 7f2e0e8be1a264b41f05668baaed73a3c3433bc6 | /tensorflow-models/rnn/rnn_clf_mnist_test.py | 0254bff167829b90fabb3c69a10b839f1ad83376 | [] | no_license | ewanlee/finch | 0f00ae8dde113fdc6fbacbd6f7edcdb936b28859 | 5999ffa6a6e481dcf18f2c86a2997a980a142609 | refs/heads/master | 2021-06-22T18:34:43.595056 | 2017-07-24T09:48:25 | 2017-07-24T09:48:25 | 98,173,308 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 800 | py | rnn_clf_mnist_test.py | from rnn_clf import RNNClassifier
import numpy as np
import tensorflow as tf
if __name__ == '__main__':
mnist = np.load('/media/DB/Student/WHL/finch/tensorflow-models/autoencoder/mnist.npz')
X_train = mnist['x_train']
y_train = mnist['y_train']
X_test = mnist['x_test']
y_test = mnist['y_... |
1d1198f592f491b37710776f9f3f30ee05e40174 | 163bbb4e0920dedd5941e3edfb2d8706ba75627d | /Code/CodeRecords/2521/60891/299094.py | 8384a0bd4348274dfaa48e7fdcb736d9a2e991c7 | [] | no_license | AdamZhouSE/pythonHomework | a25c120b03a158d60aaa9fdc5fb203b1bb377a19 | ffc5606817a666aa6241cfab27364326f5c066ff | refs/heads/master | 2022-11-24T08:05:22.122011 | 2020-07-28T16:21:24 | 2020-07-28T16:21:24 | 259,576,640 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 261 | py | 299094.py | a = eval(input())
a.sort(reverse=True)
ans_l = [a[0]]
form_x = a[0]
a.remove(form_x)
while len(a) > 0:
for i in range(len(a)):
if a[i] != form_x:
form_x = a[i]
break
ans_l.append(form_x)
a.remove(form_x)
print(ans_l)
|
595e9b2e779d0d43aada03f1378c209773675e22 | 19e3d99ff07f05bd1442e733495b0942520c3b1a | /crawlAppPelita.py | d761bdaf430a0ee49e83cd0718dca9b0a2dbbf32 | [] | no_license | jamilsalsabila/crawlApp | 920d3080f4ef668b2027bdc5a1a5ceb1d5828bc7 | 1649dbdeabeb09cfa42d52b96db4fbcd751c54a9 | refs/heads/master | 2021-01-10T10:34:55.508182 | 2015-10-25T03:39:06 | 2015-10-25T03:39:06 | 44,895,101 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,128 | py | crawlAppPelita.py | import urllib
import time
class crawl:
# method constructor
def __init__(self, urlSeed, numberOfPages):
self.readLinkOkezone = urlSeed
self.numberOfPages = numberOfPages
self.urlHistoric = {}
self.postpound = [i*1000 for i in range(1,11)]
def start(self) :
for count in range(36, self.numberOfPages):
... |
f46541485b911bff1c3ae48a1d906c9d0d661b8c | a708056dcef13c5853b74885be7710382c18286d | /archive/pycharm_project/analyse_state_data_germany.py | 08ebfbf0cd259da925e031b3dbf57c7f5ecf484d | [] | no_license | jostelo/COVID-Analysis | d8d2d4cafae3dc1e6f40bb0ed4031ed9e09205be | 0873a0de033d4c47f54dee553f0b795dba02f532 | refs/heads/master | 2023-01-24T20:59:15.286072 | 2020-11-24T21:25:54 | 2020-11-24T21:25:54 | 315,756,452 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 176 | py | analyse_state_data_germany.py | import numpy as np
import pandas as pd
import os
os.chdir("C:/Users/Jost/Desktop/Master/Masterarbeit/python")
data = pd.read_csv("data/RKI_COVID_individuals.csv")
data.head() |
1a1314962f9bf77487fb0417fa1ce2a5bf79a646 | e623117ab88b8611bf452c9252e4b33429769f95 | /pgoapi/protos/POGOProtos/Inventory_pb2.py | fbb7779dc0f37807b84fa487c8f10392f5605827 | [
"MIT"
] | permissive | Wingo7239/Pokemon-Go-Bot-Working-Hack-API | f101345f421167b41a62f40bd6cb5f71bca5bd23 | 6a7097f16c3dad0de31a7fb789a466c084904660 | refs/heads/master | 2020-12-31T03:16:51.025575 | 2016-07-26T02:27:02 | 2016-07-26T02:27:02 | 64,183,061 | 0 | 3 | null | 2016-07-26T02:24:24 | 2016-07-26T02:24:24 | null | UTF-8 | Python | false | true | 29,134 | py | Inventory_pb2.py | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: POGOProtos.Inventory.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf.internal import enum_type_wrapper
from google.protobuf import descriptor as _descriptor
from google.protobuf import ... |
57110516cd1523837d4ee1baba1ffe2d245560b3 | 53e67bb2b6a2f0f07a6d46838e1aaf812c4d8324 | /examples/06_identificadores.py | ccc8a3e2d426ed7889b0d4382fe1404cc0b85356 | [] | no_license | GaryBriceno/boto3 | e7b6060fd46e4e7157d1d4b2aa4b469bcaad2098 | 642fa69506fa06ff8631d9e53dec707b427cf496 | refs/heads/master | 2022-11-13T09:19:22.582023 | 2020-07-04T14:07:25 | 2020-07-04T14:07:25 | 277,119,288 | 2 | 2 | null | null | null | null | UTF-8 | Python | false | false | 489 | py | 06_identificadores.py | import boto3
# Let's use Amazon S3
session = boto3.session.Session(profile_name='club')
s3 = session.resource('s3')
# S3 Object (bucket_name and key are identifiers)
obj = s3.Object(bucket_name='jug-peru-boto-3', key='hello_world.mp3')
print(obj.bucket_name)
print(obj.key)
print(obj.last_modified)
try:
new_obj =... |
1ef4023b12d3d2091a952fe11b6e247ee336df3e | dce4a52986ddccea91fbf937bd89e0ae00b9d046 | /jni-build/jni-build/jni/include/tensorflow/contrib/learn/python/learn/coordinated_session.py | 4b04ebabe727059e22fbf063f590a0973fe86c92 | [
"MIT"
] | permissive | Lab603/PicEncyclopedias | 54a641b106b7bb2d2f71b2dacef1e5dbeaf773a6 | 6d39eeb66c63a6f0f7895befc588c9eb1dd105f9 | refs/heads/master | 2022-11-11T13:35:32.781340 | 2018-03-15T05:53:07 | 2018-03-15T05:53:07 | 103,941,664 | 6 | 3 | MIT | 2022-10-28T05:31:37 | 2017-09-18T13:20:47 | C++ | UTF-8 | Python | false | false | 2,651 | py | coordinated_session.py | # Copyright 2016 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... |
ebc30af59a3e978d8904431989292167f22c8929 | 7ee737da3548e989c79d0635f3f0483e8e57df4f | /userApp/urls.py | 9cbe90615edad6d8ffc2b39fc0e0b04244353dc2 | [
"MIT"
] | permissive | asifmohd/issueTracking | fc4a0d8e3d7f625b3ceb8431acdc7753933580c6 | 343c3a29563dc7645e6a9ca60a54ee46e88d6ec7 | refs/heads/master | 2022-09-02T18:49:45.447943 | 2022-08-04T10:53:30 | 2022-08-04T10:53:30 | 19,072,320 | 1 | 0 | MIT | 2022-02-28T07:25:51 | 2014-04-23T14:18:35 | Python | UTF-8 | Python | false | false | 362 | py | urls.py | from django.urls import path
from userApp import views
app_name = 'userApp'
urlpatterns = [
path('login/', views.login, name='login'),
path('signup/', views.register, name = 'register'),
path('profile/', views.profile, name='profile'),
path('logout/', vi... |
87dd0a445130887b17f620a911b496c44416ac62 | ff30eb1ddd625f1070c92287385d03389f0f9879 | /src/GillespieVersion/extended_model/NovoModelo.py | 804a2ebee5cd5da908b55bba6b9cdef84372eefa | [
"MIT"
] | permissive | MaicomPX/covid19model | 11d598529b97495318d2ecb19123767eb93989cf | 6ba5a6f5dfd0240aa4d0c5aa1c89e12afcf48e33 | refs/heads/master | 2023-04-22T11:04:17.960470 | 2021-05-01T18:40:19 | 2021-05-01T18:40:19 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,537 | py | NovoModelo.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Sep 28 16:48:27 2018
@author: carlabonin
"""
from scipy import integrate
import numpy as np
####################################0###############################################
#Resolvendo o sistema de EDOs
#########################################... |
46af67477ffa41daa15da8c2d860d04eb8383d49 | 6b09043b97fb379aebd4363ff07d4cc53e8ec0b9 | /Day 8/08-DailyFlash_Solutions/22_Jan_Solutions_One/Python/program4.py | cd6a21b31c6eed6296e3a2dadbc5b3993d26be07 | [] | no_license | Aadesh-Shigavan/Python_Daily_Flash | 6a4bdd73a33f533f3b121fae9eef973e10bf3945 | b118beeca3f4c97de54ae1a610f83da81157009a | refs/heads/master | 2022-11-28T13:03:17.573906 | 2020-08-06T15:36:36 | 2020-08-06T15:36:36 | 276,581,310 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 548 | py | program4.py | try:
print("Enter Numbers : ")
a = int(raw_input())
b = int(raw_input())
print("Enter Operation :")
op = ord(raw_input())
except ValueError as e:
print("Invalid")
exit(0)
pass
except TypeError :
print("Invalid")
exit(0)
pass
if(op == ord("+")):
print("Addition : {}".format(a + b))
elif(op == ord("*")):
... |
e89d118b1ef1dd9ff19d2dbd825c4a59557667ea | bbc044e4e7637b8ebb64bc3b156e0f0f182a3603 | /misc/socket-examples/udp/udpserver.py | 8240b0f47761e27b3a44108bbc627248ae7bc2d3 | [] | no_license | bowmnath/cis-457-w21 | 3a901d5acfd9649b4763becc8c805f2f41514b9e | 9d1223f20ce0ab22cddd2b679325b9ce5ca1dcec | refs/heads/master | 2023-04-05T03:18:44.122005 | 2021-04-21T20:30:42 | 2021-04-21T20:30:42 | 330,687,761 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 632 | py | udpserver.py | '''
Example UDP server.
Taken from Kurose and Ross with slight modifications.
Example is for demonstration purposes and does not include error-checking
code that would be best practice.
'''
import socket
server_ip = 'localhost'
server_port = 12000
buffer_size = 2048
server_socket = socket.socket(socket.AF_INET, so... |
60aeffa777eaeec3a0ff8d951ec4e3f6bed99aa9 | 138200ab4d31e2267a704b62b4fbc86eda6495c2 | /pokeai/sim/move_info_db.py | 966a4f2a11c5c207c46fbbed1048259f6affa54d | [
"MIT"
] | permissive | juntamura/pokeai | abd22a929e1f14566c7d8ddaa0bd49def4473d4f | 0349f6ab1109eab9aa114fbae3a8a08b42e901ab | refs/heads/master | 2020-04-10T20:02:42.812860 | 2018-11-01T12:21:30 | 2018-11-01T12:21:30 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 14,579 | py | move_info_db.py | from typing import List, Dict, Callable
from pokeai.sim.move import Move
from pokeai.sim.poke import PokeNVCondition
from pokeai.sim.poke_db_move_info import PokeDBMoveInfo
from pokeai.sim.move_flag_db import move_flag_db
from pokeai.sim.move_group import move_group, MoveGroupName
move_info_db = {} # type: Dict[Move,... |
5d99b3f2be1319d1600425810624aefe0a969a0f | ab4089239438e8ba0c5f7ba6f310fd6966fbc760 | /Streamlit/project2.py | 7a131335d7edaa5f9cdb66f0d38f85a1487c7c08 | [] | no_license | GabrielaDS11/Domotica-Assistiva | 3adccc6ce1aa2630ff5b906aba162b56d74b090f | 9b92d47b6e8da03aff99366f02e9c8a16697a140 | refs/heads/master | 2023-02-08T05:19:52.379760 | 2021-01-02T20:16:32 | 2021-01-02T20:16:32 | 277,615,211 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,578 | py | project2.py | import streamlit as st
import pandas as pd
import numpy as np
#import ploty.express as px
from sklearn import metrics
from sklearn.metrics import classification_report, confusion_matrix
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import LabelEncoder
from sklearn.preprocessin... |
1e2009fae02242ccac72ff125b5ded530e331a91 | 40a1ca8ddbdcd96a58703913f98b29b435a42745 | /combination sum.py | 3b33e46d716714b8939c55095e54d4318b483e2c | [] | no_license | GaganDureja/Algorithm-practice | 3eaca2cfc03fcee3671b87b5efda1f950fd36212 | d40e08287754594d016801a093becc3f69f4bcc1 | refs/heads/master | 2023-05-06T11:58:35.471799 | 2021-06-01T03:49:58 | 2021-06-01T03:49:58 | 292,361,813 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 201 | py | combination sum.py | #Link:https://edabit.com/challenge/9gmNpQ3m9BTYm3FKr
from itertools import combinations as cb
def lucky_seven(lst):
return any(sum(x)==7 for x in cb(lst,3))
print(lucky_seven([2, 4, 3, 8, 9, 1])) |
305310104170c88e62b884947beb6a0f3a8f7f49 | f8e19abb7c5964578468ba6c0e79ed420daf70b9 | /tasks/anthem1/generate.py | 12fd0abbb335a635539ad29ca27bed47990519ed | [
"LicenseRef-scancode-warranty-disclaimer"
] | no_license | teamteamdev/ugractf-2020-quals | 7768c9ed4cb4b1acecb0e0dc529229a342d21642 | 0a1d24c17b342dd57c4ff2bca051e7e21bdaf6d3 | refs/heads/master | 2022-10-21T17:06:07.781975 | 2020-06-14T19:05:14 | 2020-06-14T19:05:14 | 247,122,269 | 4 | 2 | null | null | null | null | UTF-8 | Python | false | false | 2,822 | py | generate.py | #!/usr/bin/env python3
import hmac
import json
import os
import random
import sys
import subprocess
import tempfile
PREFIX = "ugra_do_the_guys_a_favor_"
SECRET = b"rotten-disproportional-gas-script-olive"
SALT_SIZE = 12
def get_flag():
user_id = sys.argv[1]
return PREFIX + hmac.new(SECRET, str(user_id).encod... |
95406d993c8f3abafc7f80f7c8123d36a25a69ed | c22481f477c9cbae79e905cce6ef9c779c6b76a5 | /additional/gbk_to_tsv.py | e151f4f36b57ade70acb7b2ea1ecc855689d919a | [] | no_license | matthewonorato/genomics-pipelines | 7fc3055ab0cee1772634190333a3b3eb86c412c7 | 7ab7470d2ee9b03a881c0ada5affa6ecd1cd9b1c | refs/heads/master | 2023-01-23T17:27:55.584336 | 2020-11-25T03:11:35 | 2020-11-25T03:11:35 | 315,813,701 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 472 | py | gbk_to_tsv.py | #!/usr/bin/env python3
from ParseGBK import ParseGBK
"""
DESCRIPTION: This script extracts genes, locus_tags, protein products, E.C. numbers, and translation sequences from an
S. auerus strain used to test a new iron-containing drug called FS-1.
"""
def main():
gbk = ParseGBK('control-strain_NC.gbf... |
9926fa5ae4618c82ca6635d0ab6d4ec6a7186bfe | f6b8fa6841d20c67e70dc14c06dd64410ecb96f1 | /client/kedastorclient.py | 2233b51bb0ce9133d086b029081852b235b93b6f | [] | no_license | saurabhvartak1982/kedastorqueue | d8b30e53dcec91137a33d60b943fbef970061a80 | 7a037b44c03dd873a17f4308b074192184aa4132 | refs/heads/master | 2022-12-21T00:45:58.204792 | 2020-09-25T17:08:19 | 2020-09-25T17:08:19 | 298,620,232 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 451 | py | kedastorclient.py | import os, uuid
from azure.storage.queue import QueueServiceClient, QueueClient, QueueMessage
# Storage connection string
storconnstring = "<>"
queue_name = "kedatest"
#Number of messages to be enqueued in the storage queue
msgcnt = 3
queue_client = QueueClient.from_connection_string(storconnstring, queue_name)
# S... |
82b83accfe3fd454c9685dc7eedf573e34c6b7fc | 17ec2113c6bc7f62ab0db2fa749db4c2eae0341b | /excel/readCensusExcel.py | 1aa9432774ef8298a5aa9c7907c4b8d994a9c789 | [] | no_license | friendbear/AutomateWithPython | 7ea30bf7bf20b6688143f982236decdc42e78dcd | 560c35f1b8c54310debc891387c6c772cd8d573e | refs/heads/master | 2020-05-05T06:35:01.280373 | 2019-06-19T04:06:10 | 2019-06-19T04:06:10 | 179,794,006 | 1 | 0 | null | 2019-06-19T04:06:11 | 2019-04-06T05:46:29 | Python | UTF-8 | Python | false | false | 875 | py | readCensusExcel.py | #! python3
# readCensusExcel.py
import openpyxl, pprint
import setup
print('workbook opening...')
wb = openpyxl.load_workbook('censuspopdata.xlsx')
# readCensusExcel.py:8: DeprecationWarning: Call to deprecated function get_sheet_by_name (Use wb[sheetname]).
sheet = wb['Population by Census Tract']
county_data = {}... |
57c880ec6733091ff6878922c0763f3f64c984de | 802ff21dc092752b09e37b69ebcce603ca6681d6 | /Lab02/Bai11chuong9.py | 4e8d416f9ef1163773d140186c7ed621ad73f1fb | [] | no_license | long945/Pythonadvance | 076dc625e3292d51f41c06a8b7c61d09170577db | e8664d0ec1669ae3a03ef24bbf35ffd7852f08f4 | refs/heads/main | 2023-09-04T19:43:13.738269 | 2021-11-07T10:32:56 | 2021-11-07T10:32:56 | 425,467,862 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 148 | py | Bai11chuong9.py |
sum=0
count=0
for number in range(2,23):
sum+=number
count+=1
for number in range(2,23):
print(number)
average=sum/count
print(average) |
73a6f5222347a09e1b4bae9638f01157b667efdb | fb7ee6c5076cb9b863e797781d635cf2c4eff503 | /USPS.py | d4141cca9814cd7654f62634b945339e0c189570 | [] | no_license | suni08/Machine-Learning-Classification-Problem | b14d4744ce390d635fd499a74e7875c75119f96c | 5ddf0de6f9db11fa9f1b3c056825a86610375dd9 | refs/heads/master | 2020-03-08T02:19:22.585640 | 2018-12-30T00:43:21 | 2018-12-30T00:43:21 | 127,856,186 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,337 | py | USPS.py | #Extracting file from USPS dataset
import gzip, zipfile
import sys, os
import numpy as np
from PIL import Image
filename="proj3_images.zip"
#Defining height,width for resizing the images to 28x28 like MNIST digits
height=28
width=28
#Defining path for extracting dataset zip file
extract_path = "usps_data"
#Defining... |
456cfa8ac24247646432b074e68b60583cc7b157 | ec9f751ec1b888a5d2415a59959d8e0a1e4a2796 | /ljpro1/ljpro1/spiders/ljpro1.py | 2daff94e20f27dc06931924c3f7fe9410d43d9f1 | [] | no_license | emmmmwaaa/My_stuff | 3aad36386b01e77e844ae02212db350adb3f9730 | 90b3a34e8e69819ccc6a29f9659d86779b313b9d | refs/heads/master | 2020-05-03T14:38:36.759466 | 2019-04-17T09:22:48 | 2019-04-17T09:22:48 | 178,683,082 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,406 | py | ljpro1.py | import scrapy
from scrapy import Selector
import re
from lxml import etree
from bs4 import BeautifulSoup as BS
from ljpro1.items import Ljpro1Item
class ljpro1(scrapy.Spider):
name = 'ljpro1'
def __init__(self):
self.allow_domains = ['lianjia.com']
self.start_urls = ['https://bj.lianjia.com/er... |
c7804244b2cb6c9abd2937d24bffbd5e5752df85 | a37b756e34fc39c1237fc68997dbef77df9fa6fc | /keras/keras17-33/keras23_EarlyStopping.py | 5caa948d2d235cea65ecbde8e90d6312021b4306 | [] | no_license | jvd2n/ai-study | e20e38493ad295940a3201fc0cc8061ca9052607 | a82f7c6d89db532f881c76b553b5ab3eea0bdd59 | refs/heads/main | 2023-08-06T03:24:39.182686 | 2021-10-06T14:41:01 | 2021-10-06T14:41:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,974 | py | keras23_EarlyStopping.py | from icecream import ic
from sklearn.datasets import load_boston
import numpy as np
datasets = load_boston()
x = datasets.data
y = datasets.target
ic(datasets.feature_names)
# ic(datasets.DESCR)
from sklearn.model_selection import train_test_split
x_train, x_test, y_train, y_test = train_test_split(x, y,
... |
512ba62d0919e3f5dc6a7e45cab18c1dee0cb0a3 | 1ee25790a457a700a11f0181826d2e7d38403fef | /testFiles/primes/primes73.py | a2012457c5276bc7dcb479b40260ea3aedec744e | [] | no_license | janeon/automatedLabHelper | f6b29c9791352d1ca5efbbb1bf9dd1b7295a7658 | ce6cbefe3d9b87b960058d82b6daa13f3ff262bc | refs/heads/master | 2020-05-05T11:51:55.253461 | 2019-05-15T04:00:06 | 2019-05-15T04:00:06 | 180,006,728 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 782 | py | primes73.py |
def isPrime(x):
for f in range(2, x):
if x%f == 0:
return False
if x <= 1:
return False
return True
def main():
print()
print("This program will print out prime numbers and twin primes.")
n = eval(input("Please enter the number of prime numbers you wish to se... |
24c596adf232d53bfb26c4839d70112b0eaccb69 | 7985621211de87423c63879527d3e352e2eba031 | /backend-api/armaps/api/heartbeat.py | ab01177d735621b643def75b6cd2a7832443e3f0 | [] | no_license | katevc/ARmaps | 95d4477c516718bc1db3638042de013ffe954b18 | 366a236ec3571105fa66ac80879ca753df6c54fa | refs/heads/main | 2023-08-14T19:14:02.650287 | 2021-04-24T21:56:29 | 2021-04-24T21:56:29 | 406,228,326 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 158 | py | heartbeat.py | """
Heartbeat header.
URLs include:
/
"""
import flask
import armaps
@armaps.app.route('/', methods=["GET"])
def heartbeat():
return flask.jsonify()
|
6e83128b0716c32f0cadd436fa4bf981658bb1ff | bed34365a9dab825fd9f4a4ff1b0863f441266ac | /neutron/tests/functional/db/migrations/test_c3e9d13c4367_add_binding_index_to_.py | 988caf1e8031ebc1b374f32867aeb3bdc0bee07f | [
"Apache-2.0"
] | permissive | openstack/neutron | 0913ee3cd69d5bdb9c10aa084d4e1803abee320c | dde31aae392b80341f6440eb38db1583563d7d1f | refs/heads/master | 2023-08-31T13:09:41.831598 | 2023-08-31T11:37:30 | 2023-08-31T11:37:30 | 2,400,289 | 1,174 | 1,325 | Apache-2.0 | 2022-06-29T08:00:05 | 2011-09-16T16:04:08 | Python | UTF-8 | Python | false | false | 4,076 | py | test_c3e9d13c4367_add_binding_index_to_.py | # Copyright 2017 OpenStack Foundation
#
# 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 ... |
9db6daa48f82f3466067fdb48f94a211b247185e | 4a038f6ae2c87c4eabad381fdec61e7f230eddde | /app/migrations/0007_auto_20190303_0642.py | 13688d93d813bff589087aaa916c77ebedab9335 | [] | no_license | chaitanyarahalkar/Cyberfort-CTF-Website | 6681875a344d4bb19069939c95da4e4c4c1d638f | d0e1aa82049dc2a58d98ef0bf8a5e3042bf394bc | refs/heads/master | 2022-05-08T22:51:19.753784 | 2020-03-06T14:20:29 | 2020-03-06T14:20:29 | 229,793,657 | 1 | 5 | null | 2022-04-22T22:54:46 | 2019-12-23T17:11:57 | JavaScript | UTF-8 | Python | false | false | 443 | py | 0007_auto_20190303_0642.py | # Generated by Django 2.1.1 on 2019-03-03 06:42
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('app', '0006_questions_questionid'),
]
operations = [
migrations.AlterField(
model_name='team',
name='category',
... |
7abd753b01fde6813125c491e95c25356ba951b9 | c3cc7ad0d59f919958ec6f553c8ab0e9bf47b3ce | /Regression/Multiple_Linear_Regression/Backward_Elimination.py | 1410ab0495e0c2f81481eaa473e30418b493a808 | [] | no_license | Kdotseth7/Machine-Learning-Mastery-using-Python | 3630bd4ad36f8a3bdad094a3b426561fb390ff97 | bbd9225b004bf902eba1de36572f333906f68d61 | refs/heads/master | 2020-03-26T09:56:17.240763 | 2018-10-19T14:21:07 | 2018-10-19T14:21:07 | 144,772,716 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,348 | py | Backward_Elimination.py | # Multiple Linear Regression using Backward Elimination
# Importing the Libraries
from pandas import read_csv
import numpy as np
import matplotlib.pyplot as plt
# Importing the Dataset
fileName = "50_Startups.csv"
data = read_csv(fileName)
X = data.iloc[:, :-1].values
Y = data.iloc[:, 4].values
# Encoding Categorica... |
0ba672e9472d27162ff480b9bdce033ba554198c | b7c7881145214631c7e07ec684a5a9b92c089674 | /Mp4info.py | eb5bd813784a6dd16a5770d14325087a9f4a5268 | [
"MIT"
] | permissive | kakasearch/bili_to_yhdm | d2a56aa862cdf979112cea5cf615122102109e62 | 38811a7e248b778a7b2042e2c4c18d09c9000500 | refs/heads/main | 2023-07-09T03:04:51.337200 | 2021-08-06T15:25:32 | 2021-08-06T15:25:32 | 386,690,113 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,765 | py | Mp4info.py | import requests
import struct
class Mp4info:
#获取video 信息
def __init__(self, file):
self.file = file
self.seek = 0
self.duration = 0
self.s = requests.session()
self.timeout = 6
self.s.headers = {
'Connection': 'keep-alive',
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp... |
329f249dfe9cdefdaa0abed90c516871947c3407 | 175d6cff12514da71aafef6b9ff48dd56a87db2d | /alveus/main_frame.py | 625cee9db89fd518bdb1eb854f63a94195c05e5b | [
"MIT"
] | permissive | FrederikLehn/alveus | d309eea98bd36f06709c55a18f0855f38b5420a9 | 71a858d0cdd8a4bbd06a28eb35fa7a8a7bd4814b | refs/heads/main | 2023-06-26T02:29:59.236579 | 2021-07-30T11:07:17 | 2021-07-30T11:07:17 | 391,029,935 | 4 | 3 | null | null | null | null | UTF-8 | Python | false | false | 80,080 | py | main_frame.py | # generic imports ------------------------------------------------------------------------------------------------------
import os
import gc
import pickle
from pubsub import pub
import matplotlib.pyplot as plt
# wxPython imports ---------------------------------------------------------------------------------... |
25cd047fadf5e1a33a0b0f314572e0cce8a3925a | b00e9f892f3e87df724999ffc0e9c3342d19d4f6 | /kWTA-Activation-master/SVHN.py | 516c6db9cca2ba91e93810cca246527756557c06 | [] | no_license | COMP6248-Reproducability-Challenge/Deep-learning-ASDA | 6fb3d9bc7ed890ffd8fa21652a33101f4998b90d | e5d14192b1af4ffa2cb7ecfa9978e1440efbf638 | refs/heads/master | 2022-09-25T17:40:28.594729 | 2020-05-29T14:23:44 | 2020-05-29T14:23:44 | 267,833,085 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 15,804 | py | SVHN.py | ##evaluate
#SVHN
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.optim import lr_scheduler
from torchvision import datasets, transforms
from torch.utils.data import DataLoader
import torchvision
import numpy as np
import json
import time
import sys
import copy... |
fccc132a0bae69fe3c5d966fedb140b8cf4d66ba | eb23f6caf884ff2f9624902ffa83eddb93f62cf4 | /Euler 41-50/euler49.py | 2771b83e9940893826d29da3760327b2a7bbb1d9 | [] | no_license | HenriqueDomiciano/projetosEulereOutros | f47ac9514a929d9cdc6d0b23fa82f14118377532 | 1753988c93597fff17e5c61c5be5df289b3050ff | refs/heads/master | 2023-06-25T10:08:18.025187 | 2021-07-22T17:40:32 | 2021-07-22T17:40:32 | 284,487,756 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,052 | py | euler49.py | import itertools
import time
start_time=time.time()
def sieve(p,n):
is_prime = [True]*n
is_prime[0] = False
is_prime[1] = False
is_prime[2] = True
# even numbers except 2 have been eliminated
for i in range(3, int(n**0.5+1), 2):
index = i*2
while index < n:
is_prime... |
5ecae87fac050bec9638861bf2b9289a664feec2 | b6307faecfd9f33f4a1c8275788d8314ef9e8ed8 | /bindings/pydeck-carto/examples/carto_layer_geo_tileset.py | ada1777ba5b6a72f73b5283c9a730716347c769a | [
"MIT",
"BSD-3-Clause"
] | permissive | exlimit/deck.gl | 21bd0de36c479178fc3596dcbf41a290ec363c3f | f481154481860a9b56378c757125cd5aac3f2991 | refs/heads/master | 2022-09-18T08:13:29.047722 | 2022-09-01T20:20:29 | 2022-09-01T20:20:29 | 99,755,849 | 0 | 0 | null | 2017-08-09T02:19:00 | 2017-08-09T02:19:00 | null | UTF-8 | Python | false | false | 827 | py | carto_layer_geo_tileset.py | """
CartoLayer
==========
Render cloud data from a tileset.
"""
import pydeck as pdk
from pydeck_carto import register_carto_layer, CartoAuth
from pydeck_carto.layer import CartoConnection, MapType
register_carto_layer()
carto_auth = CartoAuth.from_file("./carto_credentials.json")
layer = pdk.Layer(
"CartoLayer"... |
7208bd00d4dc6b86f5bbfc1ceeed88acfcc987b5 | 3eb9553a4ebdba77d274de529107d640d0a114cd | /HardCode/scripts/parameters_for_bl0/new_current_open_details.py | d9795018aa6151e4956052465179be52f3e9c950 | [] | no_license | Anandesh-Sharma/Ananlysis-Node | 6ad1b1f76b3899303febb617e9c939ea01e1b75b | 984e96ca4a693821d87522a480ded311ed34bcd4 | refs/heads/development | 2023-06-10T07:52:07.331920 | 2020-06-16T10:32:50 | 2020-06-16T10:32:50 | 272,643,068 | 0 | 0 | null | 2023-05-27T16:03:35 | 2020-06-16T07:45:26 | Python | UTF-8 | Python | false | false | 682 | py | new_current_open_details.py | from datetime import datetime
from HardCode.scripts.loan_analysis.last_loan_details import get_final_loan_details
def new_current_open(cust_id):
count = 0
try:
last_loan_details = get_final_loan_details(cust_id)
initial_date = datetime.strptime("2020-03-01 00:00:00", "%Y-%m-%d %H:%M:... |
27b48e0817fa7e68450ee63147a3d71a161f9bea | 55bf6e94e9fe17bb527e63c4dbe073fecacf0b4a | /banco de dados estudo/conexão.py | 0dcdd1c24f6871418925c727efeae99c4b55f0c2 | [] | no_license | Gufinger07/Projeto-Simulacao | 3bcbeea4d29ee88bb1714ee84974d3479e83f212 | 8e4475d95837fefc9a923a6cdc8e1a59fae7323e | refs/heads/master | 2023-02-11T01:37:24.897180 | 2021-01-04T03:08:42 | 2021-01-04T03:08:42 | 326,550,400 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 343 | py | conexão.py | import sqlite3
database = "TimesBR.db"
conexao = sqlite3.connect("TimesBR.db") #criei a conexao com o bd
cursor = conexao.cursor() #executar os comandor
cursor.execute("""CREATE TABLE if not exists tb_equipes(
equipe text,
pontos integer,
sg integer
)""")
conexao.commit()
cursor.close... |
a798b8062decab9afe047d5b28c222d5ee392006 | 85a9ffeccb64f6159adbd164ff98edf4ac315e33 | /pysnmp/VMWARE-VA-AGENTCAP-MIB.py | 57abcec36bc5fb0cd335aaf7d447d18d87bf3de7 | [
"Apache-2.0"
] | permissive | agustinhenze/mibs.snmplabs.com | 5d7d5d4da84424c5f5a1ed2752f5043ae00019fb | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | refs/heads/master | 2020-12-26T12:41:41.132395 | 2019-08-16T15:51:41 | 2019-08-16T15:53:57 | 237,512,469 | 0 | 0 | Apache-2.0 | 2020-01-31T20:41:36 | 2020-01-31T20:41:35 | null | UTF-8 | Python | false | false | 2,519 | py | VMWARE-VA-AGENTCAP-MIB.py | #
# PySNMP MIB module VMWARE-VA-AGENTCAP-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/VMWARE-VA-AGENTCAP-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 21:28:04 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (d... |
8e1b5b5f95b9bbdd72217861e7e8579d381ed891 | 74a8de5d30414575c8f5b1dee96ed799503d7c31 | /game/enemy.py | 003b208ae7bd91f906e1bf52c42fd4da5d91bcd8 | [] | no_license | takumi0712/pixelgame | ae813a3c7804b736109485aa8f7d272c0fed2ce9 | ba2f9a5e1c3b4c8925c5428a083c2821ccfada31 | refs/heads/main | 2023-06-23T16:27:21.816258 | 2021-07-21T22:24:41 | 2021-07-21T22:24:41 | 387,474,930 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,982 | py | enemy.py | import pyxel
import random
from effect import *
from item import Bullet
from player import *
enemy_list=[]
def CollisionDetectionAttack(p,bg):
for enemy in enemy_list:
for attack in attack_list:
if (
attack.x + attack.w > bg.m_x+enemy.x
and bg.m... |
051155c585fc38d342219a1f1b8b4b832c55d8eb | e16d2f0717022a77e6d6a9b125f365d49987656f | /SPUG_Code/Code_Pi_New/PDDL_Generator.py | e93f087d3d6bd9a7fe3c228b4c8939d12935dd6e | [] | no_license | DeepakNadagouda/SPUG | bc73cb93b746f827aa56fc3f1027411006d1d496 | 7b51900768ffd8990f51077d0b965fcd5179e70f | refs/heads/main | 2023-02-26T18:38:20.402345 | 2021-02-02T10:18:29 | 2021-02-02T10:18:29 | 335,239,940 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,466 | py | PDDL_Generator.py | import time
import requests
import sys
from itertools import combinations
class PDDL_Generator:
def Initialize_Values(self):
self.map_size = 4
self.number_spug = 1
self.start_point_spugs =[(0,0)]
self.end_point_spug =(2,2)
def Set_Initial_Point(self, X_Coordinate, Y_Coo... |
77d5f63ae5f263b6e2d35615cbc3081759b9865c | 3b4c518fc6d30c62ee577df7362a0c2e8b63a5f4 | /wtf/dates.py | e6520b31825cb39669253076bee0f6c5295ba2c5 | [] | no_license | rootoor225/whatthefeuille | be98c58f68cbe6db9a3779a46bb5405e962e2abd | ff7b6b67c8a73b249539790caca8dd23a57816a7 | refs/heads/master | 2021-05-27T08:43:59.051542 | 2013-02-17T11:46:55 | 2013-02-17T11:46:55 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 740 | py | dates.py | import dateutil.parser
def ordinal(value):
try:
value = int(value)
except ValueError:
return value
if value % 100 // 10 != 1:
if value % 10 == 1:
ordval = u"%d%s" % (value, "st")
elif value % 10 == 2:
ordval = u"%d%s" % (value, "nd")
elif va... |
a29016e00a72c8b8b2dfac98c9cc4ad59e82799b | 3b93fc92d4d95dab66438ebf221f6cb4745aac5f | /src/content/views.py | d019878a4f42911f49de97e5cf2db807f5dc3033 | [
"MIT"
] | permissive | vollov/django-restful | f20fb1236e2c4d16c62f7f7a6318e842dac0b6ce | ee796ded68470fd1609a9313fbf21e89481bccce | refs/heads/master | 2021-01-10T01:32:42.643182 | 2016-02-23T15:18:44 | 2016-02-23T15:18:44 | 46,464,534 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 341 | py | views.py | from django.contrib.auth.models import User, Group
from rest_framework import viewsets
from serializers import PageSerializer
class PageViewSet(viewsets.ModelViewSet):
"""
API endpoint that allows users to be viewed or edited.
"""
queryset = Page.objects.all().order_by('-created_at')
serializer_cl... |
4b68b02bb367eeaebbb988b7e394ea0f1227d8fd | e3a8f374800b87c02fca1e3ca0d13c6cf7fe4d63 | /compcamps_cash_miner/wrapper.py | 52dcf4bdd70fe935c2e5997f1cb33d8d3658ca9c | [] | no_license | Sanae6/compcamps_cash | dd321bb79ede5e7dbcdc3ca256593e2ca74a806c | 9620563372ef11c8879559ab718e10595e338123 | refs/heads/master | 2022-01-28T08:19:23.726022 | 2019-07-05T22:46:28 | 2019-07-05T22:46:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 781 | py | wrapper.py | import os
from compcamps_cash_api.entities import Block, Transaction, Keys, Prefix
from compcamps_cash_api.entities.block import nextBlock
import miner
import balance
import transaction
while(1):
os.system('clear')
print("Welcome to Campcoin miner")
print("")
print("Select an option:")
print("(M)... |
90e7ff4bd675efe671f3071c57d7ff8fd08a8f2b | 5f59c4076d68a1186aa9329d4a6ff379b7abba85 | /venv/lib/python3.7/site-packages/tests/test_result.py | cc8ee6c0db6fa504b164b9168c566d357addb82e | [
"MIT"
] | permissive | C16735211/webmap2 | f71497eb86deaf55fe6eeaa0363e3955ae131013 | 1111539348bd6bfe3312537253147def014bd432 | refs/heads/master | 2023-04-27T15:10:42.461395 | 2020-04-11T08:38:37 | 2020-04-11T08:38:37 | 227,618,373 | 0 | 0 | MIT | 2023-04-21T20:41:53 | 2019-12-12T13:52:16 | Python | UTF-8 | Python | false | false | 5,151 | py | test_result.py | import pytest
import overpy
from tests import read_file, new_server_thread, BaseRequestHandler
class HandleResponseJSON02(BaseRequestHandler):
"""
"""
def handle(self):
self.request.send(b"HTTP/1.0 200 OK\r\n")
self.request.send(b"Content-Type: application/json\r\n")
self.request... |
8ee2c1555bd112c49786a06f078c568f73d3edc8 | ecea1ac4c5475e2eaf4e8790643db176e4200a6d | /Negocio/Pirinola.py | ad1c5f5c33a617f63c9b499b05809b5f52faaa77 | [] | no_license | jeffersoncy/Pirinola | 970b7f68057ece13b7ad72e573aa5ac37676441c | 6a0f67a6d42e89653075740ce75ba2646e7a0e88 | refs/heads/main | 2022-12-25T05:50:18.889618 | 2020-10-15T04:38:19 | 2020-10-15T04:38:19 | 303,520,953 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,320 | py | Pirinola.py | """Presentado por : Danny Alberto Días Mage
Jefferson Eduardo Campo Yule"""
from Negocio.Partida import Partida
class Pirinola:
ListPartidas = list()
def __init__(self,nombre_piri,id_partida,valor_partida):
self.nombre_piri=nombre_piri
self.partida = Partida(id_partida,val... |
49c25aecbe53758e9507dc75711394acc59ae904 | 8e68fa08e0275bb77a57f2dcb1b2082afbd928e9 | /src/cutadapt/files.py | 77ab3ed739dba6f1b0e80360b3d0e78f17cf5f3a | [
"MIT"
] | permissive | marcelm/cutadapt | a892a871ed8b5b8491c2177ede43a6ebe0b43810 | cefb3e0bc6bacf5e15a842174502852466bd6990 | refs/heads/main | 2023-09-01T08:14:21.694545 | 2023-08-31T08:18:46 | 2023-08-31T08:18:46 | 4,577,614 | 450 | 165 | MIT | 2023-09-11T06:48:19 | 2012-06-06T20:26:25 | Python | UTF-8 | Python | false | false | 7,668 | py | files.py | import errno
import io
import sys
from typing import BinaryIO, Optional, Dict, Tuple
import dnaio
from xopen import xopen
from cutadapt.utils import logger
try:
import resource
except ImportError:
# Windows
resource = None # type: ignore
def xopen_rb_raise_limit(path: str):
"""
Open a (possibl... |
c0d23761f49feecb1dce6f28b7ef157aa8c2dda4 | 3f051449601187af1b6d8971664ae96826b977f6 | /python/codewars kata/13 fibonnaci.py | f2eff77abfb0df06611260c2fb8738d719617b1a | [] | no_license | Ukabix/projects | 5fe84c5d8eefd516d3993b3c65dc911c4260e8c5 | e528782c100d98240d2a13067153d775e0557715 | refs/heads/master | 2022-12-24T01:50:10.230242 | 2021-11-28T20:33:56 | 2021-11-28T20:33:56 | 212,777,496 | 0 | 0 | null | 2022-12-15T09:53:08 | 2019-10-04T09:15:48 | Python | UTF-8 | Python | false | false | 1,297 | py | 13 fibonnaci.py | # Write a program that asks the user how many Fibonnaci numbers to generate and then generates them. Take this
# opportunity to think about how you can use functions. Make sure to ask the user to enter the number of numbers in the
# sequence to generate.(Hint: The Fibonnaci seqence is a sequence of numbers where the ne... |
a96c92d57b7a879807d7615ce15f8d9d613308ba | 7e11408457e5fec14a45ebdf5e80a87dfa20657c | /app.py | d4c06848f4dfd60add5965ae203484e2175b3942 | [] | no_license | Sundarapandy/spwebsite | 1ade63c511c26b4d408e1f5c61dc5444834e100d | a232aff62124d7eb7df53fc06ff73e998da5b48d | refs/heads/master | 2023-03-21T23:48:39.531480 | 2020-08-03T13:40:11 | 2020-08-03T13:40:11 | 284,696,160 | 0 | 0 | null | 2021-03-20T04:56:54 | 2020-08-03T12:38:23 | HTML | UTF-8 | Python | false | false | 976 | py | app.py |
from flask import Flask, render_template, url_for , request , redirect
app = Flask(__name__)
@app.route('/')
def hp():
return render_template('index.html')
@app.route('/works.html')
def hp1():
return render_template('work.html')
@app.route('/about.html')
def hp2():
return render_template('about.html... |
612539b576600f1c4300ea27b2d67af9c3996ad3 | 9c6522db2db8c4c075e23f2953776384973891a8 | /cn.zero/py.ori.fmt/c1330.bin.py | 8b95ce7bf1764babda3f5c308dbb82e9fb10fc2b | [] | no_license | ZhenjianYang/ZeroAoVoiceScripts | b388c28b498049d7d4277b8344cdc098488fd258 | 7e0b696d743912739b855acb4306f1dcf564d6c0 | refs/heads/master | 2021-05-18T08:58:59.482674 | 2021-02-19T08:22:19 | 2021-02-19T08:22:19 | 94,624,272 | 12 | 5 | null | 2021-02-19T08:22:20 | 2017-06-17T13:06:15 | Python | UTF-8 | Python | false | false | 27,527 | py | c1330.bin.py | from ZeroScenarioHelper import *
def main():
CreateScenaFile(
"c1330.bin", # FileName
"c1330", # MapName
"c1330", # Location
0x001B, # MapIndex
"ed7100",
0x00002000, # Flags
... |
6f4e70d9a2a6847c98c6afd9dae62e7984635d36 | 54511c722e83e84516a1e100248e73879bb8fca7 | /Day_5 OOP/3_employee.py | 1e021a9273d99654cb42d4ef25c921026d354eb6 | [] | no_license | Oleksandr015/Python-podstawy | a453c1e6848019d859c1114836fb996ce497b2d2 | 9fa910684c6ffa981db64f0ab2e8423714269636 | refs/heads/master | 2023-06-16T04:03:43.547947 | 2021-07-13T12:56:53 | 2021-07-13T12:56:53 | 282,299,345 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,599 | py | 3_employee.py | class Employee:
raise_amount = 1.05
def __init__(self, first_name, last_name, salary):
self.first_name = first_name
self.last_name = last_name
self.salary = salary
@property
def fullname(self):
return f'{self.first_name} {self.last_name}'
@property
def email(se... |
74bc63043fab35c80969e2d6c30781877946b44d | 428b16f60024dd839194dcdb91a61ef360c7f84d | /signatureGV.py | c2615fab1c09053d2d9bcbcb5871ddf90ceea33c | [] | no_license | shanni12/Elliptic-curve-cryptography | 3ef997d7c149e9fb0300fa77d35aa79f98555659 | 906143941b9ba1540b7e860b5ac1a752b89e0a1c | refs/heads/master | 2023-03-23T10:06:36.958700 | 2021-03-21T10:27:09 | 2021-03-21T10:27:09 | 345,548,089 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 814 | py | signatureGV.py | import secrets
import ellipticcurve
N=ellipticcurve.N
GPoint=ellipticcurve.GPoint
def signature_generation(privKey,HashOfThingToSign):
print("Signature Generation")
RandNum= secrets.randbelow(int(N,16))
xRandSignPoint, yRandSignPoint = ellipticcurve.EccMultiply(GPoint,RandNum)
r = xRandSignPoint % int... |
91fedbc34410f313b2ef24cf8ccb3d46b218ca61 | a9d89247d9c49ce51e2b74a8fd8cded95123cd5d | /dlna/dlna_service.gypi | 50e5f9d6ae39ff2616429426e2f72bb9e0f1780d | [] | no_license | lubing521/librhino | e021062a3fa4b947487cd62bec6a09cf122128c3 | 08983a744fe01dc4446168d46cdee4f532b974cd | refs/heads/master | 2022-01-16T03:12:02.189216 | 2014-11-21T01:28:32 | 2014-11-21T01:28:32 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,345 | gypi | dlna_service.gypi | # Copyright (c) 2012 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
{
'targets': [
{
'configurations': {
'Debug': {
'defines': [
'DEBUG',
'DLNA_ENABLE_LOG',
]... |
a6db9f1535553e6d4d6e2e310c53505b55ddc6b7 | 30ea7b9b9a88d542e9ea3c5b8def38e1b1d778e5 | /hw4/prototypical_net/dataset.py | fd4ebf42e3a8edfa90cfba3617830477eb2ebe90 | [] | no_license | kai860115/DLCV2020-FALL | 96ee63cc73969f4efe872870a0e6f8b0dfff08fd | cd07b9ac131b3bc5c22f92d57c80960dfc071ea3 | refs/heads/main | 2023-02-26T00:19:59.325488 | 2021-02-04T05:38:36 | 2021-02-04T05:38:36 | 335,480,530 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,047 | py | dataset.py | import os
import sys
import argparse
import torch
import torch.nn as nn
import torchvision
import torchvision.transforms as transforms
from torch.utils.data import DataLoader, Dataset
from torch.utils.data.sampler import Sampler
import csv
import random
import numpy as np
import pandas as pd
from PIL import Image
fi... |
6fcf52da6d621cc22bcfab1b1082f98b4afda535 | 80e7cb7c68d11930e079826c89c4c7287ed0d84f | /prepare.py | 8322c6028868bae969d06171c1440b46581ad03d | [] | no_license | CurtisJohansen/classification-exercises | 097d873f4a7d95fd041b691e460b0a248a21415d | 7508797dc60d3789b3ee018359f966a77127a046 | refs/heads/main | 2023-07-15T20:46:49.637867 | 2021-08-27T14:39:56 | 2021-08-27T14:39:56 | 395,432,222 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,027 | py | prepare.py |
import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.impute import SimpleImputer
###################### Prep Iris Data ######################
def prep_iris(df):
'''
This function takes in the iris df acquired by get_iris_data
Returns the iris df with ... |
93e6022ea6d737454cab456cb557ccd9db0b72c3 | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p03304/s733087802.py | a33877732969012bc4d0ce785ac3fc5e565a769c | [] | 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 | 145 | py | s733087802.py | li = list(map(int,input().split()))
ok = (li[0]-li[2]) if li[2]==0 else (li[0]-li[2])*2
a = (li[1]-1)*ok/(li[0]*li[0])
print("{:.10f}".format(a)) |
6e5f1ecb378a78ffc1fb7820d7a80090e2259119 | f445450ac693b466ca20b42f1ac82071d32dd991 | /generated_tempdir_2019_09_15_163300/generated_part004218.py | 577d620ec69b8e130b2ec8ab23a5e6b864987504 | [] | no_license | Upabjojr/rubi_generated | 76e43cbafe70b4e1516fb761cabd9e5257691374 | cd35e9e51722b04fb159ada3d5811d62a423e429 | refs/heads/master | 2020-07-25T17:26:19.227918 | 2019-09-15T15:41:48 | 2019-09-15T15:41:48 | 208,357,412 | 4 | 1 | null | null | null | null | UTF-8 | Python | false | false | 13,349 | py | generated_part004218.py | from sympy.abc import *
from matchpy.matching.many_to_one import CommutativeMatcher
from matchpy import *
from matchpy.utils import VariableWithCount
from collections import deque
from multiset import Multiset
from sympy.integrals.rubi.constraints import *
from sympy.integrals.rubi.utility_function import *
from sympy.... |
b1d46e6124d38fcf382f1fd88a6aeb574cf1350c | 7918d00a8235c1252fdd75e2db6de4d323740318 | /inventario/urls.py | 4e0b0b31799faa8862ebcb592a07c68a5a2884fb | [] | no_license | tom-sb/Mayorista | 92e1a68402a35785f355fe11ad935071cc7264d3 | 635f26aae073da42ea58d3f056959a35e08a4bd3 | refs/heads/master | 2020-11-24T16:46:46.271448 | 2019-12-19T11:14:27 | 2019-12-19T11:14:27 | 228,254,669 | 0 | 2 | null | 2019-12-19T11:14:29 | 2019-12-15T21:22:34 | CSS | UTF-8 | Python | false | false | 748 | py | urls.py | from django.conf.urls import url
from . import views
from django.views.generic import TemplateView
#from recursos import views
from django.contrib.auth import views as auth_views
from django.views.generic import TemplateView
urlpatterns = [#cambiar url logout
url(r'^inventario/new', views.InventarioInsert.as_view(), ... |
bc9dbd673e65faaa76f9ae7090ec407a0ab91c1b | c2332b85f3ffffd0063d59503b34d973d3ed992d | /scripts/simAnalysis.py | 9e992ac1f561f28790191015e8ebee86d2b4a0ba | [] | no_license | nirm123/Blaze-Simulation | 3ebc91490d5639d13f480de3d5637bdb863c5472 | 918002f7a58f9f495a1e4a60b8128410786b0320 | refs/heads/master | 2020-05-09T16:46:37.289736 | 2019-04-14T17:03:21 | 2019-04-14T17:03:21 | 181,220,055 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,240 | py | simAnalysis.py | import csv
import math
from scipy import stats
# Number of trials
num = 1000
# Which sigma model
version = "3_1_Sim"
# Complete filepath/filename
dir_file = "../" + str(version) + "/" + str(num) + "/"
file_nam = version + "_run_"
# Alpha/Mean for variance reduction with control variates
alpha = -4.4
alpha2 = -5.2
... |
73097d249215db712022390839b0f202df422b03 | 5511ab61a9a57368b2e0225e6d6a1e4b8cf37a98 | /crypto/rsa_bigE/solve.py | d54c189f6327c82e6e157f928d908336606e9291 | [] | no_license | JaysesS/ctf_writeups | f39780b65db268eae3ddf3473146fa112ebcbcf8 | 02f966ebd56e742db4c76bc6441ba84344a310d5 | refs/heads/master | 2021-01-05T09:23:22.213310 | 2020-12-14T08:06:18 | 2020-12-14T08:06:18 | 240,969,966 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,342 | py | solve.py | from Crypto.Util.number import long_to_bytes
from Crypto.PublicKey.RSA import import_key
from gmpy2 import lcm
c = 162675409010048791238594246720874861885486288280637895284286744674644074438715998659933375558695304862411391386506418383774197348978013808836298941663532252880061482104536770237506881751923172414404577687... |
b2545413db105df7a4cfd0d4b14c480194422b53 | 9d58d151eb1ff615b0f53ab27dc9141727a6e995 | /Python/0009_special_Pythagorean_triplet.py | 3f8d3907e53446142f33b66292fa11e393b60f88 | [] | no_license | paznewman/project-euler | 058c93cce5c225f47c801f27f80aa27be441fec4 | 2ddb8399a830c497bac5253de180713db9d7b4f9 | refs/heads/master | 2020-04-09T01:52:33.261500 | 2018-12-06T11:23:56 | 2018-12-06T11:23:56 | 159,920,466 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 857 | py | 0009_special_Pythagorean_triplet.py | """ A Pythagorean triplet is a set of three natural numbers, a < b < c,
for which a^2 + b^2 = c^2
For example, 3^2 + 4^2 = 9 + 16 = 25 = 5^2.
There exists exactly one Pythagorean triplet for which a + b + c = 1000.
Find the product abc.
"""
def sum_triplets (n):
""" generates all triplets of natu... |
9eaf4d3c4dd120d1e209692c1b96f4bce5df4bb3 | 8e21bcb321a0614c643dbafaa4a63e388fa2abfa | /app.py | d494627b952d295769d955b3c129674802787cca | [] | no_license | u-akshay/revenue-report-codelattice | a5e3ab4a8959f2a94ff2cb2c49b29357ccb0c613 | 1bba907200912cd8f8962826c15a4781981b0e9d | refs/heads/main | 2023-03-04T06:36:04.942473 | 2021-01-30T03:40:45 | 2021-01-30T03:40:45 | 334,201,212 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 787 | py | app.py | from flask import Flask,render_template,request,url_for, send_file
from werkzeug.utils import secure_filename
import os
import time
import final
app = Flask(__name__)
################################################################
@app.route('/', methods=['GET' , 'POST'])
def login():
if request.method... |
5b13e1c5f23f30a51ad0edee93e8f4d9112f05be | 0cb361019555e1d371eb6c3f89eb887d1f6991dc | /helix/engines.py | 13fd212eb7923e35a380b483a671761992aaef1b | [
"Apache-2.0"
] | permissive | phantomii/helix | b747c9a9fdeacc7009e32e3648b56f6d01ebba82 | 88a7270f20554943fa2cb22e1432d0f653ba9ae7 | refs/heads/master | 2021-01-17T15:08:35.568279 | 2017-02-23T18:20:54 | 2017-02-23T18:20:54 | 33,501,841 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,090 | py | engines.py | # vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# Copyright 2016-2017 Eugene Frolov <eugene@frolov.net.ru>
#
# 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
#
# ... |
92721120b74b6ff525fa032502c7deb43d52bd77 | bafe6480c4071d89e6490a1c0adca31d82d6e34f | /students/jim/Lesson06/title_case.py | 623a70292e5b54a9da40949dbde7d157b8d6c115 | [] | no_license | UWPCE-PythonCert-ClassRepos/Wi2018-Classroom | c05763940ca22f21dd3e96f795a210e0f5658fdb | f0a6d8df31d28f0fecf32add03a05285e58aac22 | refs/heads/master | 2018-09-18T17:27:06.925189 | 2018-06-06T04:36:30 | 2018-06-06T04:36:30 | 115,212,326 | 3 | 40 | null | 2023-03-17T04:15:30 | 2017-12-23T17:51:25 | Python | UTF-8 | Python | false | false | 321 | py | title_case.py | # test_case.py
def title_case(x):
if not isinstance(x, str):
raise TypeError('Please provide a string argument')
return x.title()
def test_string():
with pytest.raises(TypeError):
title_case(9)
def test_title_case():
assert title_case('lady gaga') == 'Lady Gaga'
test_title_case()... |
83c73aabba5f4e9f04dbad8cb50e94f386e51b66 | b74320ad439e37dfa48cd8db38dab3b7a20a36ff | /src/diffusers/pipelines/controlnet/__init__.py | c89a705350a2b05bcc795af77372cd051cbaab94 | [
"Apache-2.0"
] | permissive | huggingface/diffusers | c82beba1ec5f0aba01b6744040a5accc41ec2493 | 5eeedd9e3336882d598091e191559f67433b6427 | refs/heads/main | 2023-08-29T01:22:52.237910 | 2023-08-28T18:16:27 | 2023-08-28T18:16:27 | 498,011,141 | 17,308 | 3,158 | Apache-2.0 | 2023-09-14T20:57:44 | 2022-05-30T16:04:02 | Python | UTF-8 | Python | false | false | 990 | py | __init__.py | from ...utils import (
OptionalDependencyNotAvailable,
is_flax_available,
is_torch_available,
is_transformers_available,
)
try:
if not (is_transformers_available() and is_torch_available()):
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
from ...utils.dum... |
0377bb9a7693f02ba4d4d49d89e0441d3cdac642 | 4e90fa247c00e05ca57392b9cf64b9db49ce0974 | /sanfoundary/Dictionary/10.CountFrequencyOfWordFromString.py | 17d09be598c6126588ce4c098b69d31896793f6c | [] | no_license | AmritaDeb/Automation_Repo | b200b94f2552e5238388d11023bba8ab04afb5ec | c0332eff751d752c4a8dec77b65286b0db791ed0 | refs/heads/master | 2020-06-03T08:49:50.445606 | 2019-06-12T10:50:34 | 2019-06-12T10:50:34 | 191,514,320 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 167 | py | 10.CountFrequencyOfWordFromString.py | s="I am Amy. I love programming."
l=[]
l=s.split()
result={i:l.count(i) for i in l}
print(result)
duplicate={i:l.count(i) for i in l if l.count(i)>1}
print(duplicate)
|
4a4585c6836b183cfe9968f11df06eedc49c8e1e | 11cd362cdd78c2fc48042ed203614b201ac94aa6 | /desktop/core/ext-py3/pysaml2-7.3.1/src/saml2/attributemaps/adfs_v20.py | 20a0067564262f8ae08336db690f0b3c6cb65860 | [
"Apache-2.0",
"CC-BY-3.0",
"LicenseRef-scancode-other-copyleft",
"LicenseRef-scancode-unknown-license-reference",
"ZPL-2.0",
"Unlicense",
"LGPL-3.0-only",
"CC0-1.0",
"LicenseRef-scancode-other-permissive",
"CNRI-Python",
"LicenseRef-scancode-warranty-disclaimer",
"GPL-2.0-or-later",
"Python-... | permissive | cloudera/hue | b42343d0e03d2936b5a9a32f8ddb3e9c5c80c908 | dccb9467675c67b9c3399fc76c5de6d31bfb8255 | refs/heads/master | 2023-08-31T06:49:25.724501 | 2023-08-28T20:45:00 | 2023-08-28T20:45:00 | 732,593 | 5,655 | 2,244 | Apache-2.0 | 2023-09-14T03:05:41 | 2010-06-21T19:46:51 | JavaScript | UTF-8 | Python | false | false | 2,283 | py | adfs_v20.py | CLAIMS = "http://schemas.xmlsoap.org/claims/"
COM_WS_CLAIMS = "http://schemas.xmlsoap.com/ws/2005/05/identity/claims/"
MS_CLAIMS = "http://schemas.microsoft.com/ws/2008/06/identity/claims/"
ORG_WS_CLAIMS = "http://schemas.xmlsoap.org/ws/2005/05/identity/claims/"
MAP = {
"identifier": "urn:oasis:names:tc:SAML:2.0:... |
a595e364b7eaafbf9509f26f8cf97ab636d38dc0 | f3b379001648141e72b6d96b2f2e172bfe5fbd89 | /IsItMe.py | 3c51ef08fee3391c4ed2bb304a467a0a9c6e2c32 | [] | no_license | tstrouth/IsItMe | d5e85ac4037ae97a8d7aa4e9e2e9da1ae8720f62 | 97499821f72ebd34cfa71d8a1790403c79f408ad | refs/heads/master | 2021-07-11T05:47:22.617581 | 2019-04-13T16:38:48 | 2019-04-13T16:38:48 | 98,023,405 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,412 | py | IsItMe.py | import tkinter as tk
from tkinter import filedialog as tkfd
import cv2
import numpy as np
from PIL import ImageTk, Image
import time
#constants
WINDOW_HEIGHT = 700
WINDOW_WIDTH = 800
#not constants
photo_name_list = ["", "", "", "", ""]
image_reference_list = [None, None, None, None, None]
Bool = None
... |
1c6189919602476fba986a302320f3ea96641e1b | 448b642be9c09f003d003ed8da6806211e203c62 | /scrolling-chars2-0.0.1.py | a3598facdaa8524d2b503d978fb3f5a855d584f9 | [
"MIT"
] | permissive | dave4th/DualMatrix8x8 | a2d18b704a38756ab59e3e3a338aaadbd67fc9d9 | 786fa09a1a3ebd4250fc25e3c50a0ceee38eac42 | refs/heads/master | 2021-01-10T12:50:59.335479 | 2015-10-19T09:17:21 | 2015-10-19T09:17:21 | 44,523,470 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 21,372 | py | scrolling-chars2-0.0.1.py | #!/usr/bin/python
import sys # Potrei anche toglierla se non la uso
import spidev
import time
max7221sx=spidev.SpiDev(0,0)
max7221dx=spidev.SpiDev(0,1)
#spival=max7221sx.readbytes(1)
#print("Valore attuale:", spival)
#for arg in sys.argv:
# print arg
# Shutdown (Spegne)
max7221sx.writebytes([0x0C,0x00])
max722... |
1f0707132dc12873bb9796f975e2363c41e856fe | 8c8beabaf6148b25531fda88b0040c16e6803ba7 | /handlers/system/monitor.py | 772631f98f9088d3617e4599779607581c762fad | [
"MIT"
] | permissive | LIUSANSHAO/xnote | 2903cd1c4cf54c6541e2128c3f667154a5df7dbb | e53078a818b6187f0c03767f3defa3f263c56319 | refs/heads/master | 2021-07-25T00:18:03.650750 | 2017-11-06T12:09:04 | 2017-11-06T12:09:04 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,799 | py | monitor.py | # -*- coding: utf-8 -*-
import web
import time
import os
import platform
import xutils
import logging
from logging.handlers import TimedRotatingFileHandler
import json
import threading
import re
import xtemplate
import xconfig
try:
import psutil
except ImportError as e:
psutil = None
sys = xutils.sys
def fo... |
ce2cfeb5eefcb3ca34abaf3ea439eaf198294dcd | 29392f582c7c56a741453b52c0c3919246197dad | /file.py | b56985c604d7db4d09b143d85bdaac1627a75cc2 | [] | no_license | sevenjoyce/project1 | a8666d88c95ff61a6860c7682d93246a1f3dd46a | 07ec5b050e3ef48d24e21899f1dbdec1633bce26 | refs/heads/master | 2022-06-14T22:04:15.175752 | 2020-05-07T12:40:30 | 2020-05-07T12:40:30 | 261,964,279 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 818 | py | file.py |
# fo = open('E:\\简历\\松勤\\新建文本文档.txt')
# # print(fo.read())
# print(fo.read(2))
# print(fo.tell())
# print(fo.seek(1,0)) #(1进几步,0)0模式从头开始
# print(fo.tell())
'''
name: Jack ; salary: 1200
name: Jack ; salary: 1800
name: Jack ; salary: 100
'''
rdir = r'E:\简历\松勤\Python\ex_file.txt'
wdir = r'E:\简历\松勤\Python\ex... |
feeacea2f9a509d4e3e0753edb787c4a212c08ef | 11b210e3cb6e2ba802ebb77fddf81e7e3d186bf8 | /3. train data/create_data_train_3.py | 93d92d7262630a836d75c65914f66205c05d2dc3 | [] | no_license | thanhan1181999/NER-address | 82ffcd47cc32eab188357ed20ec43709f6abf5ae | 642287e3ba8611f97334a3ae0cf9e16c83aedf26 | refs/heads/main | 2023-05-27T09:07:46.569801 | 2021-06-10T15:33:03 | 2021-06-10T15:33:03 | 366,754,369 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,948 | py | create_data_train_3.py | # lưu file location
import numpy as np
import random
# read file
class ProcessData:
def __init__(self):
self.location_tokens, self.location_tags, self.location_len = self.read_data("../2. token each data/location.txt")
#read file
def read_data(self,file_path):
tokens = []
tags = []
tweet_tokens... |
60181937449444c7edea669c47889809d217fda3 | 99aa9b2be5199bf1b2f670bc9bb1a5bc7cec1c89 | /Hash_Table/L388_Longest Absolute File Path.py | 511c1b2ebd97eea46af68bc59b8b79e27f6c810a | [] | no_license | SimonFans/LeetCode | 5196e85dec886b18cb2350419a4a2ae3c751966c | 0a34a19bb0979d58b511822782098f62cd86b25e | refs/heads/master | 2023-02-08T00:49:30.916655 | 2023-01-31T06:32:32 | 2023-01-31T06:32:32 | 145,938,196 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,628 | py | L388_Longest Absolute File Path.py | Suppose we abstract our file system by a string in the following manner:
The string "dir\n\tsubdir1\n\tsubdir2\n\t\tfile.ext" represents:
dir
subdir1
subdir2
file.ext
The directory dir contains an empty sub-directory subdir1 and a sub-directory subdir2 containing a file file.ext.
The string "dir\n\ts... |
00a7ca83676371b6fc034fbb4eaa10f5a8078ab2 | f09c7f7cc9f63887d32b4d883b4cf0fb4898c03a | /webdriver/tests/support/fixtures_bidi.py | 3bcebb95f4b5be91054219dd669274d3c8a3ff2a | [
"BSD-3-Clause"
] | permissive | youennf/web-platform-tests | c91f7d7ffd23b5d3ff8678eb8c7b067774f6628b | 825b8cfbf84c250bb351d2172525912d999677a4 | refs/heads/master | 2023-07-12T04:52:55.165033 | 2022-06-21T11:14:05 | 2022-06-21T11:27:05 | 16,095,666 | 4 | 0 | NOASSERTION | 2023-03-09T14:29:15 | 2014-01-21T07:25:29 | HTML | UTF-8 | Python | false | false | 1,635 | py | fixtures_bidi.py | import asyncio
from typing import Any, Mapping
import pytest
import webdriver
@pytest.fixture
async def new_tab(bidi_session, current_session):
# Open and focus a new tab to run the test in a foreground tab.
context_id = current_session.new_window(type_hint="tab")
initial_window = current_session.window_... |
e6f916c1032fca8fc2d375b0ae6c609a1c6084a7 | debc6540db6242c6cf9292ddd00071abb5bbd2e9 | /MySQLDatabase/student_script.py | 807884dcf1239cbe9f70af9627fb96b8a6f042d2 | [] | no_license | cam719/Resume | 07e19843aa7a6cfc0cdced6b1d5703544a8d2bd6 | 3b6b1326bd992a2c98fa7fa38e71038fbbcfa0fc | refs/heads/master | 2021-01-17T06:37:41.126925 | 2016-06-23T02:18:08 | 2016-06-23T02:18:08 | 48,020,375 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,238 | py | student_script.py | import mysql.connector
from datetime import date, datetime, timedelta
cnx = mysql.connector.connect(user='cmoneal', password='829812390',
host='127.0.0.1',
port='8080',
database='cmoneal')
cursor = cnx.cursor()
with open("Stud... |
4b4a8d8113472bb7fd8ce64177a458764a6784e6 | e788163a1e2de87551ac4fa16d84e13202e46cc9 | /chia/wallet/did_wallet/did_wallet_puzzles.py | 1873e01ec1da1b6886aeff38522d93970494d9fb | [
"Apache-2.0"
] | permissive | xorinox/chia-blockchain | d985de4f655f8741128a2dde250d46f4c854f91a | 2d95bb831b03d04438bdce5e7fe6f6b6ca0716a4 | refs/heads/main | 2022-07-17T23:59:43.673237 | 2022-06-30T14:35:43 | 2022-06-30T14:35:43 | 397,941,396 | 1 | 0 | Apache-2.0 | 2022-02-14T06:37:06 | 2021-08-19T12:49:43 | Python | UTF-8 | Python | false | false | 7,238 | py | did_wallet_puzzles.py | from chia.types.blockchain_format.sized_bytes import bytes32
from chia.types.blockchain_format.program import Program
from typing import List, Optional, Tuple, Iterator, Dict
from blspy import G1Element
from chia.types.blockchain_format.coin import Coin
from chia.types.coin_spend import CoinSpend
from chia.util.ints im... |
5a8ebf605dc21b7d1e122046543b3881de80f440 | 9e22a045f65d650be40ac9b4d31f31331e52e864 | /movie/__init__.py | 54bf6cedf1f1d7e05b869efe81a8d1b83af2f7b6 | [] | no_license | luozm/Movie_sale | c64b9c8865ebc93eb3d58dc27eb4c80e45d5109a | 8e70b170d1ea7b451486d1cdfbd63bfbd4977a99 | refs/heads/master | 2022-12-13T11:44:52.323509 | 2018-12-11T03:33:51 | 2018-12-11T03:33:51 | 160,883,831 | 0 | 2 | null | 2022-12-08T01:28:26 | 2018-12-07T22:58:58 | Python | UTF-8 | Python | false | false | 325 | py | __init__.py | from flask import Flask
from flask_login import LoginManager
# from flask_sqlalchemy import SQLAlchemy
app = Flask(__name__)
app.config.from_object('config')
# db = SQLAlchemy(app)
login_manager = LoginManager(app)
login_manager.login_view = 'login'
from movie import views, models, database, api
database.init_app(... |
b367b806347e6c505012c7de1d5987f0aed61b82 | ad761fb30f7990053eda8820b6117c6294f56a3f | /sample.py | 2e0281244b0b492b07fda680e1ddbd4db81766f3 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | rachelnicole/Cognitive-Face-Python | ff7f238e0339ca7d1bee6014f0fb234284dba5b9 | 6093054a8d773597e7e99efbb2c69259d4c18e66 | refs/heads/master | 2021-01-20T02:22:25.512220 | 2017-04-26T21:03:45 | 2017-04-26T21:03:45 | 89,398,995 | 0 | 0 | null | 2017-04-26T14:22:44 | 2017-04-25T19:32:04 | Python | UTF-8 | Python | false | false | 1,285 | py | sample.py | import cognitive_face as CF
import faces as face
from picamera import PiCamera
from time import sleep
import subprocess
KEY = '06add3ffb377418fa5a4ed59d3d4325c' # Replace with a valid Subscription Key here.
CF.Key.set(KEY)
camera = PiCamera()
camera.start_preview()
sleep(2)
camera.capture('/home/pi/Desktop/image.... |
c7bfc9f68614c4df7e57dfc4656813322d1df65d | 405082652f56c4837007eb0eaeff9250b0b12cdb | /kevin/tests/utils/test_bst.py | db232f06b4f2f8a28f53f27237c430b9dcf487e6 | [
"MIT",
"LicenseRef-scancode-warranty-disclaimer"
] | permissive | kalyons11/kevin | 1398c666ec70bfd460d2507f8ef10a649bb2da2a | 4e222fcd8ee7f2a275390f532c2fa5fef39060e8 | refs/heads/main | 2021-07-20T18:12:05.914762 | 2021-07-06T18:22:08 | 2021-07-06T18:22:08 | 99,180,621 | 1 | 0 | MIT | 2019-12-20T21:59:48 | 2017-08-03T02:17:38 | Python | UTF-8 | Python | false | false | 983 | py | test_bst.py | """
BST utils test script.
"""
from unittest import TestCase
from kevin.utils.bst import BST, TreeNode
class TestBSTUtils(TestCase):
def test_bst_make(self):
n = TreeNode(0)
x = BST(n)
def test_init_from_list_empty_should_fail(self):
keys = []
with self.assertRaises(ValueErro... |
4c85306b9a9439622172cb65e88468aa72d154f6 | aac8ec3f561d156f3425064843e545cdd84f4b3f | /40-extra/02-left-view.py | 863298b08514934b61a1518bc8caa1fb3a13947a | [] | no_license | okmd/codingblocks | 5106f9c606140e24f3a7eb2c4e393b3e13f126f1 | 07c8805dbe5d455ed1ebb1984949690840342447 | refs/heads/master | 2022-03-04T03:10:19.102060 | 2022-02-05T10:02:00 | 2022-02-05T10:02:00 | 192,055,010 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,635 | py | 02-left-view.py | # Note: Done
class Node:
max_level = 0
def __init__(self, val):
self.value = val
self.left = None
self.right = None
def reset_level(self):
Node.max_level = 0
def pre_order(self):
if self.value != -1:
print(self.value, end=" ")
if self.left:
self.left.pre_order()
if self.right:
self.right.pre... |
2deb8e0e6f08a427bac0f37acf238686fa3e0e0e | f8b8906b57fcbf9d591a054680ab2b4000b53c70 | /Loops/for-loop.py | cb1b9c75f55180efb87f7e6cf9e8211401a5e136 | [] | no_license | robertclemo/python-fundamentals-1 | 4b44ad8ae5f26fc4c31bf2dea23528cc7f8a86a9 | 5475df6e1a7a886102749a74e72db325ae6e6f1a | refs/heads/master | 2023-01-03T03:52:01.632195 | 2020-10-28T19:32:25 | 2020-10-28T19:32:25 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,395 | py | for-loop.py |
counteri = 0
counterj = 0
counterx = 0
countery = 0
for i in range(1, 11): # this will loop 10 times
print(' ')
print(f'\033[1;31;40mi -----------------{i}')
counteri+=1
for j in range(1, 6): # this will loop 5 times
print(f'\033[1;33;40mj -----------{j}')
counterj+=1
for ... |
098c50d9491ceed1b750ddbf92a3f8a8fcf5749d | 8a84f1436a2f734191ce9573694f03033b1cbeff | /apply_model.py | 779e11fdae27de658fbe0c007d1ca36120ee24c5 | [] | no_license | kwehmeyer/ArborMetrix_Assesment | f9619bcac6a180ae3c8b58e428215c6ebdbf4945 | 26a2f636e7f1c8f0d896bea0e549ed7f68a97313 | refs/heads/main | 2023-01-22T00:35:16.815089 | 2020-12-02T20:01:57 | 2020-12-02T20:01:57 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,611 | py | apply_model.py | # %%
import pandas as pd
import pickle as pk
from sklearn.cluster import KMeans
import data_prep as dp
import sys, os
from datetime import datetime
# %% File Path Handling
if len(sys.argv) == 1:
print("\nNo paths to CSVs provided. Defaulting to given data.\n")
patients_path = "data/patients.csv"
encounte... |
8be46c4a916f508eec3dfc0678887fedea0aacea | 984ea50a81cda8c7afad5e7651628a7371878e28 | /familyanalyzer/newick.py | 3f1414e302d214cef9e7e05503dcce3380eb1a49 | [
"MIT"
] | permissive | DessimozLab/familyanalyzer-deprecated | 2d0ff4e8af4e2ba055d7b89b7765e6cb84895b5c | 829dcfee5fc16b496da04e62c21a413f10564339 | refs/heads/master | 2022-12-07T04:16:21.973247 | 2020-08-28T08:50:32 | 2020-08-28T08:50:32 | 46,989,913 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 8,338 | py | newick.py | from __future__ import unicode_literals
from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
from future.builtins import next
from future.builtins import str
from future import standard_library
standard_library.install_hooks()
from past.builtins import basestring
... |
ce9d398b4dc60f4e7aa1d3b47345c21972eca27f | 2613a8cbcc910ba50fbb025741b9832558c4ad0f | /scripts/standard/sound_player.py | b9e9b4a1f2ef67e4b422ba4aadfc6b038fb9d9fd | [] | no_license | JacobViertel/Biped | 9cc6430f96ec3fd82821eeeed5e173be12b1177c | 02ad195a4f7469e27f418cb2b127d6387a1f30a7 | refs/heads/master | 2022-12-04T20:21:41.685992 | 2020-07-30T13:17:08 | 2020-07-30T13:17:08 | 255,377,135 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 866 | py | sound_player.py | #!/usr/bin/env python
import rospy
import time
from dynamixel_msgs.msg import JointState
from std_msgs.msg import UInt8
from std_msgs.msg import Float64
from std_msgs.msg import String
import os
from math import log
from playsound import playsound
from subprocess import call
import sys
global in_action
in_action = 0
... |
5d2ad5f5de7030ab22c3afa7cee5efe01606d769 | d2a39fcb63732c715d613ccb3908b16f62dfcc4a | /write_include/ts_include.py | fd815e7afacac55a6416fe0b478c76845fe62f09 | [
"MIT"
] | permissive | namedyangfan/Python_practice | e00885e3ff0c43642a6c43c47d809ba3dae81e91 | 7f7394d82bb5afc13b039eec286b9485a775ae39 | refs/heads/master | 2021-05-15T12:32:32.349425 | 2017-10-26T19:09:59 | 2017-10-26T19:09:59 | 108,454,783 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,060 | py | ts_include.py | import os, glob, shutil
from convert_tecplot import hgs_loadfile as hl
import pandas as pd
import numpy as np
class Write_asc_include():
def __init__(self, grok_directory, inc_folder, o_folder, o_name):
''' build include file for PET and PCP'''
self.grok_directory = grok_directory
self.inc... |
e8a81c20d231f16ddcaeeb6e39ec6f362623ced8 | 711756b796d68035dc6a39060515200d1d37a274 | /output_cog_tags/optimized_9770.py | 24656c4735bf4ce0f9d1d4951e94f28a7a4bbaae | [] | no_license | batxes/exocyst_scripts | 8b109c279c93dd68c1d55ed64ad3cca93e3c95ca | a6c487d5053b9b67db22c59865e4ef2417e53030 | refs/heads/master | 2020-06-16T20:16:24.840725 | 2016-11-30T16:23:16 | 2016-11-30T16:23:16 | 75,075,164 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,582 | py | optimized_9770.py | import _surface
import chimera
try:
import chimera.runCommand
except:
pass
from VolumePath import markerset as ms
try:
from VolumePath import Marker_Set, Link
new_marker_set=Marker_Set
except:
from VolumePath import volume_path_dialog
d= volume_path_dialog(True)
new_marker_set= d.new_marker_set
marker_set... |
aa0d8e98520d28a772a98a316935db931386a1e4 | 2843acb3ac44a6b9716bbb7dc1230b775a2bcb4b | /Day 16/Day 16.py | 2194915443efacd212fdd3fcdfef40273ccdd3f6 | [] | no_license | bakkerjangert/AoC_2020 | d2ba7f32ad7a209359a158f74dea48aa82d9fd50 | 7a1974af29e7adb3ca9229da4c92d2c40ea96a18 | refs/heads/master | 2023-02-14T15:23:58.966080 | 2021-01-08T09:11:34 | 2021-01-08T09:11:34 | 322,614,901 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,521 | py | Day 16.py | with open('input.txt') as f:
lines = f.read().splitlines()
valid_numbers = set()
ordered_numbers = dict()
for line in lines:
if line == '':
break
row_numbers = []
start_1 = int(line.split(': ')[1].split('-')[0])
start_2 = int(line.split('or ')[1].split('-')[0])
end_1 = int(line.split('... |
a281522b2bcdffedb3c707e75e82b8e81ecab2c5 | 2e6f8f4bc21a01dbf7991807d9401e5bb4141ddc | /Accuracy.py | 2de5d388c4f19177d12f1735daf1f3014d7ed8a6 | [] | no_license | JohnnyBoy2419/Border-Patrol | 00ac7379412d7944484b1374a39c8b9a05457a3b | d7b4b3eb461149e11ae41186ea4491e405abeef7 | refs/heads/main | 2023-08-22T06:18:31.089174 | 2021-10-23T01:20:30 | 2021-10-23T01:20:30 | 420,283,454 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 87 | py | Accuracy.py | import pygame
from sys import exit
pygame.initialize
pygame.display.set_mode(800, 600)
|
e3200f79c5953e494f33da4432ae97af300ba483 | 13800b7827598e76428a335559b7bf11867ec2f0 | /python/ccxt/async_support/base/ws/functions.py | 23ab0feffd946a25fe523a5d838217f9c8c7e07e | [
"MIT"
] | permissive | ccxt/ccxt | b40a0466f5c430a3c0c6026552ae697aa80ba6c6 | e4065f6a490e6fc4dd7a72b375428b2faa570668 | refs/heads/master | 2023-09-04T03:41:29.787733 | 2023-09-03T19:25:57 | 2023-09-03T19:25:57 | 91,253,698 | 30,798 | 8,190 | MIT | 2023-09-14T21:59:09 | 2017-05-14T15:41:56 | Python | UTF-8 | Python | false | false | 1,495 | py | functions.py | # -*- coding: utf-8 -*-
from zlib import decompress, MAX_WBITS
from base64 import b64decode
from gzip import GzipFile
from io import BytesIO
import time
import datetime
def inflate(data):
return decompress(data, -MAX_WBITS).decode('utf-8')
def inflate64(data):
return inflate(b64decode(data))
def gunzip(d... |
e1f476f7bedc2f0e656c452af4fb9c6cb38c5a22 | 3defe888509596087794613c330c8363b67c42d7 | /src/repos/adjustmentRepo.py | 9db41380dd32fcdbb6bd599db9cb335f351ad3a2 | [] | no_license | Akashv1507/statisticalDayAheadDemandForecasting | 091c9f46115fa69285e6a822d8a7ae1b64f17044 | 484c63765cd90de6e80811b40ea31edc74164ba5 | refs/heads/master | 2022-12-28T14:20:52.639237 | 2020-10-19T07:42:50 | 2020-10-19T07:42:50 | 291,350,753 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,210 | py | adjustmentRepo.py | import cx_Oracle
import datetime as dt
from typing import List, Tuple
import pandas as pd
from src.utils.checkSpecialDay import checkSpecialDay
class Adjustment():
"""adjustment repo to check D-2 is special or not based on which modification takes place
"""
def __init__(self, con_string: str) -> Non... |
42953c886b097f32b5e1af3b1913037fa9107ad2 | 74674a6c8329b608969eff88c1226c1420820056 | /pycuda/tools.py | 05ac3c52ec3e2e998c6e9be4337d1b8dfa1f04df | [
"MIT",
"Apache-2.0"
] | permissive | mitkotak/pycuda | ea82e9655d5f3e05db8dd8c9ba8c9704dff4af24 | 4a46ab6a4bd59340b78c6fae14e3f60feafa46e9 | refs/heads/main | 2023-06-29T09:44:04.453121 | 2021-08-04T03:09:34 | 2021-08-04T03:09:34 | 383,649,154 | 0 | 0 | NOASSERTION | 2021-07-22T00:25:13 | 2021-07-07T02:16:32 | null | UTF-8 | Python | false | false | 14,771 | py | tools.py | """Miscallenous helper functionality."""
__copyright__ = "Copyright (C) 2008 Andreas Kloeckner"
__license__ = """
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 wi... |
6fb5908effe2cf2063cb9e8aa1def3071ccd5cf1 | 92e855fb0d37dac3c43e55a6b20abf31069e57e9 | /discoverer.py | f5006054e0ecd7a1d4892bc14ba8f84ebe657c70 | [] | no_license | klimksh/undec | 09a4f2544e16f9f4c227f15e9f60b206ef02d36e | 3f04e6faa9133c8acc60e7da5e3cf9cb7bba7ee5 | refs/heads/master | 2020-04-06T15:54:31.629123 | 2018-11-14T19:07:52 | 2018-11-14T19:07:52 | 157,597,543 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,401 | py | discoverer.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import spacy
from spacy.lang.en import English
from uncertainty_recogniser import UncertatintyRecognizer
from spacy.pipeline import EntityRecognizer
import plac
def main(text="I think this is a test phrase", *uncertainties, ents):
# For simplicity, we start off with o... |
b0a4c4085dd5c524bc27b89d5453e1f7df2d6f82 | b8237e26b261da495e131d7d2eb5d4dbffef69f2 | /project2/project2.py | 4f4b16c33516e23e1eda259837a3d4a7fbdf3182 | [] | no_license | mwleeds/cs260 | 054441db1687da5c414c1fee419391cde72d0fc5 | e4faa68f3301d8611504856785173aaa136d6e61 | refs/heads/master | 2020-12-07T03:49:48.904858 | 2014-09-01T16:21:29 | 2014-09-01T16:21:29 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,190 | py | project2.py | #CS 260 Project 2: Infix to Postfix Converter
#Written by Matthew Leeds
from arraystack import ArrayStack
from linkedstack import LinkedStack
from scanner import Scanner
from tokens import Token
class IFtoPFConverter(object):
def __init__(self, scanner):
self.scanner = scanner
def convert(self):
... |
0d67fd016b667d55e2cc9a12ae80214db055f3e4 | 7d71b7de0a8579787c411ad4213b5a39a4dfd8be | /Python/solution_008.py | 4256eaa3c781a78d72f53992788d86191ee2474d | [] | no_license | mkollers/project-euler | 3d24824a87abc054131872f17d177cb60859154c | 277cf6955d0569a259aabb797c8cc803a61d1dc3 | refs/heads/master | 2023-01-06T05:28:48.103379 | 2019-08-10T19:07:47 | 2019-08-10T19:07:47 | 64,850,186 | 1 | 0 | null | 2022-12-30T18:20:12 | 2016-08-03T13:56:27 | JavaScript | UTF-8 | Python | false | false | 1,304 | py | solution_008.py | def execute008():
n = "73167176531330624919225119674426574742355349194934969835203127745063262395783180169848018694788518438586156078911294949545950173795833195285320880551112540698747158523863050715693290963295227443043557668966489504452445231617318564030987111217223831136222989342338030813533627661428280644448664... |
0ff71e09f70be16a7614fbe8842b4adb327c9140 | 4e396f2a9ca6a6a83b3654897dbb9ba3d97c05b3 | /dfx_security.py | fd728818dc69284f33333d88b49e67a6885663d4 | [] | no_license | giridharanbabu/DFXClassification_V1 | 84f92ca32b8d8b990fe5cfcb3729d03e5a624964 | 8a3221205fc129f11c82d73a0dd3874d3a4e4138 | refs/heads/master | 2023-01-09T15:44:01.191270 | 2020-03-18T15:01:34 | 2020-03-18T15:01:34 | 248,262,872 | 0 | 0 | null | 2022-12-26T20:56:38 | 2020-03-18T15:01:10 | Python | UTF-8 | Python | false | false | 1,234 | py | dfx_security.py |
import os
import error_updation
import configparser
config = configparser.ConfigParser()
config.read('config.ini')
def get_security_token():
import requests as req
import json
try:
sec_token_url = config['CLASSIFIER']['SEC_TOKEN_URL']
sec_username = config['CLASSIFIER']['SEC_USERNAME']
... |
77cffe497e50172917cb17dd427d0f2afa85deea | 95d3c2e57e8b2e9691c385cf8c7bfc280adaf572 | /garnahata_site/cms_pages/migrations/0008_auto_20150722_0108.py | 35ced597802164926f4817e811f1d3878267e2b6 | [
"MIT"
] | permissive | dchaplinsky/garnahata.in.ua | 850c52d4c8e697c19b6e3ba264ca25b48a769ccb | 02cd9772cdc4a99a24525b60ba1040b7343d76f6 | refs/heads/master | 2022-07-11T23:05:08.414036 | 2019-05-28T15:16:43 | 2019-05-28T15:16:43 | 35,701,644 | 9 | 4 | MIT | 2022-07-01T11:51:01 | 2015-05-15T23:25:35 | JavaScript | UTF-8 | Python | false | false | 1,199 | py | 0008_auto_20150722_0108.py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import modelcluster.fields
import modelcluster.contrib.taggit
class Migration(migrations.Migration):
dependencies = [
('taggit', '0001_initial'),
('cms_pages', '0007_auto_20150721_2318'),
... |
ec6f78b39b3239554ede864de8a9e8317435ba5d | d0021c3cf6758b092e56883fbb5503192dcd1e10 | /result_analyzer/scraper/tasks.py | cc98ad5dd9a93efc7fffeb0e9459b92cfbb9558a | [
"MIT"
] | permissive | animesh21/result-analyzer | fccfac82fc4b4ccd483d591993c38fac67d0420a | 4d7f2351b9d2b24651f7436ea8a74bbb604aab6f | refs/heads/master | 2021-01-10T13:50:35.167625 | 2016-01-03T16:56:57 | 2016-01-03T16:56:57 | 48,638,671 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,670 | py | tasks.py | import requests
import urllib.request, random
from bs4 import BeautifulSoup
def get_results(rollno):
with requests.Session() as s:
url = 'http://www.uptu.ac.in/results/gbturesult_11_12/Even2015Result/frmbtech4semester_2015nrqiop.aspx'
response = s.get(url)
plain_text = response.text
... |
a170110dc277abe3d6ed1a0d03918bbc1987bb47 | 67494eefb926d8bfab2ff73431bb8b487e5eb245 | /Big_Brother.py | 6750949fd5da086dfe8e3afdfd14d0f990877bfb | [] | no_license | Kathik-R/Big_Brother | 56616cf03091b4f02189bd9e3f6fe8b63f53f0d5 | 077bd4aba3967674983fce553d1776ec0d84ff7f | refs/heads/master | 2020-09-02T16:34:10.797713 | 2019-11-03T09:10:50 | 2019-11-03T09:10:50 | 219,260,361 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,041 | py | Big_Brother.py | #Importing the libraries
import cv2
import numpy as np
import pandas as pd
#Import cascade classifier which will be used to detect the face
face_cascade=cv2.CascadeClassifier('Cascades/data/haarcascade_frontalface_alt.xml')
#Import the trained Facial Recognition Model created using Model_Train
recognizer= cv2.face.LB... |
a59d1d71e67acd2eea418a0e28c324163c2a42c1 | 5e72125a4f8c384bae394b9d7e66b67cb2f2f486 | /AtlassianKeyRotate/app/rotatekeysinput.py | 0a390e07330cce72e831540a1bd8ce9ee2826d7a | [] | no_license | mradityagoyal/python | a04be4edab324028d5cea10375c6a37cc17e40c2 | df6baf7766ae245e43494def024c7e58a640d3b9 | refs/heads/master | 2021-01-10T06:11:19.987562 | 2018-11-13T20:29:14 | 2018-11-13T20:29:14 | 51,448,584 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 947 | py | rotatekeysinput.py | from __future__ import print_function, unicode_literals
from PyInquirer import prompt, print_json
#Literals
BITBUCKET_USERNAME = 'bitbucket_username'
BITBUCKET_PASS = 'bitbucket_pass'
SSH_DIR = 'ssh_dir'
REPO_DIR = 'repo_dir'
# end literals
#Input prompts
questions = [
{
'type': 'input',
'name': ... |
8272079170cdc927ccdbf246ccaab7fd1b6588bd | 40ee1f5b92c250c60db3a8b7c7f844b3843bcfb9 | /quoteengine/__init__.py | ecc29fd13f838292783e93983618ae9c0187b6c8 | [
"MIT"
] | permissive | moon0440/meme-generator | ad699befa5171961c81b31a12d12ea717dd7fc37 | 25ee9e79da34ed68bb58655801c3399aa0a43272 | refs/heads/master | 2023-07-30T21:14:50.134396 | 2021-10-01T14:37:23 | 2021-10-01T14:37:23 | 412,186,609 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 163 | py | __init__.py | """`quoteengine` module responsible for ingesting many types of files that contain quotes."""
from .quote_models import QuoteModel
from .ingestors import Ingestor
|
e869beed6a0dc3681a1c31f0e8adc9ff28d3f43b | 3a1367285c4a2709560cebc5f0ce5a480bfc3cd2 | /dicod/multivariate_convolutional_coding_problem_2d.py | dc5bd08c6146d9422e4fff6a77456daec9363e5d | [] | no_license | tomMoral/Dicod | 105843b956914efa61688931316bcd40a968940e | 41be87d427a3a85edad783152b36a7f3aa5d96f8 | refs/heads/master | 2021-07-05T18:53:21.627884 | 2018-08-09T13:53:37 | 2018-08-09T13:55:29 | 106,170,506 | 12 | 1 | null | 2018-08-09T13:40:43 | 2017-10-08T11:18:30 | Python | UTF-8 | Python | false | false | 6,991 | py | multivariate_convolutional_coding_problem_2d.py | import numpy as np
from scipy.signal import fftconvolve
from ._problem import _Problem
from joblib import Parallel, delayed
class MultivariateConvolutionalCodingProblem2D(_Problem):
'''Convolutional Sparse coding by coordinate descent
Parameters
----------
D: array-like (n_dict (K), n_dim(d), height... |
3e129b837d74b6078d5e8e37702c2af71d1fb802 | 9a032a36afba95e688b2f5b8987ad471f6717634 | /baidumap/webservices.py | ea32cc3058421150b091394c526024447c83b859 | [] | no_license | christopher-ustb/vangogh | d77680d945086e0146912d59462a6e9326600d6d | 0d0333b1a8e51b648e0dd06ac93eaa5e71b625ea | refs/heads/master | 2020-05-01T15:02:59.846807 | 2019-05-02T14:38:09 | 2019-05-02T14:38:09 | 177,536,604 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 937 | py | webservices.py | import hashlib
from urllib import parse
import requests
from vangogh import settings
_BAIDU_MAP_DOMAIN = "http://api.map.baidu.com"
def _generate_sn(uri):
# 对queryStr进行转码，safe内的保留字符不转换
encoded_str = parse.quote(uri, safe="/:=&?#+!$,;'@()*[]")
# 在最后直接追加上yoursk
raw_str = encoded_str + settings.BAIDU_... |