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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
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classes | is_generated bool 2
classes | length_bytes int64 6 10M | extension stringclasses 289
values | filename stringlengths 1 218 | content stringlengths 6 10M |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
34a9ae32a290a5a0e46a3a72293199cafa20ddea | 3f97b126852df37c5ed287d11f80edf2ab26bc66 | /main.py | 3d94311959037f8b225ff2ab5145284845d0f06d | [] | no_license | isaffathir/scraping-python | 484aa47512152b731e0bb7f11ee25706111488d1 | d89f0f1759c21dd3403c9f6f141822b52bb93d45 | refs/heads/master | 2023-07-14T21:49:11.944695 | 2021-09-07T18:20:48 | 2021-09-07T18:20:48 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,775 | py | main.py | import csv
from os import write
from typing import Text
from googleapiclient.discovery import build
import requests
import sys
import mysql.connector
mydba = mysql.connector.connect(
host="localhost",
user="root",
password="",
database="mydatabase"
)
cursor = mydba.cursor()
cursor.execute("DROP TABLE IF EXI... |
2c11f9cef4a2fd4f9da8391583f12bd2176c5c66 | 1bc2a635a93b5bc84606edf9ac2226851cac9e6d | /rolling/server/zone/websocket.py | c1759297362dba0b7e3cda39100f3ef47493c6cb | [
"MIT"
] | permissive | coolkat64/rolling | 819149cbb1e11a455b93a030477f9da91e2f93e4 | 4c3ee2401128e993a52ac9b52cdbd32e17728129 | refs/heads/master | 2022-11-29T00:35:14.058665 | 2020-07-31T20:37:15 | 2020-07-31T20:37:15 | 285,312,272 | 0 | 0 | MIT | 2020-08-05T14:25:48 | 2020-08-05T14:25:47 | null | UTF-8 | Python | false | false | 4,681 | py | websocket.py | # coding: utf-8
import asyncio
from concurrent.futures._base import CancelledError
import json
import typing
import aiohttp
from aiohttp import web
from aiohttp.web_request import Request
from rolling.exception import DisconnectClient
from rolling.exception import UnableToProcessEvent
from rolling.exception import Un... |
960431ba713ce18db76be051bac99b79e9966990 | 848cc4651b04745707bf951cc3eccbe2abb3d755 | /Basics/basics.py | c242a6b1e5a4f1141fd73f10421f9d279cb4f01d | [] | no_license | S-Arivukkarasu/My_Quantum_Programming | c3869a3ac6acfc1b8d016042730d4ca68e9c243c | 04e69b88567c99bf66e23d3935575feb9b8e68bb | refs/heads/master | 2021-06-13T21:11:04.260786 | 2021-03-21T13:17:28 | 2021-03-21T13:17:28 | 176,337,249 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 683 | py | basics.py | import qiskit
qr = qiskit.QuantumRegister(1)
cr = qiskit.ClassicalRegister(1)
program = qiskit.QuantumCircuit(qr, cr)
program.measure(qr,cr)
job = qiskit.execute( program, qiskit.BasicAer.get_backend('qasm_simulator') )
print( job.result().get_counts() )
# qiskit.IBMQ.load_accounts()
# backend = qiskit.providers.... |
20a3992ea1481d2416860f2ce74b77002798117e | 53f7c7b51d32199675c6c828cda9d41e40524059 | /apps/one_subject_algorithm.py | 55b4c3778cfe3ce08f5e6cdc762dc09b1721a88b | [] | no_license | aasislamic/ElectivePriorityManager | d1ab601f22c8d8d977ee933925256bed63fcab79 | b527953c4d2257ae306df1ab2e123e00406ca6d9 | refs/heads/master | 2020-06-04T08:22:22.474766 | 2019-06-14T13:01:56 | 2019-06-14T13:01:56 | 191,943,488 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,773 | py | one_subject_algorithm.py | from apps.student.models import ElectivePriority
class OneSubjectAlgorithm():
def __init__(self, students_queryset, semester, subjects=[]):
# list of students and subjects. initially they are all notok.
# student is ok_student if it gets any subject
# subject is ok_subject if it contains ... |
dd7dc27ed7b4a6b6a7cd53a44df1890844b0a3c7 | 45fac2a6040d4f3c71004ec8692257d605fbc443 | /02_oop/03_inheritance/05_hierarchical_inheritance.py | a7c5cf17d863ede65cc6923a30bb94ec12871d74 | [
"MIT"
] | permissive | doanthanhnhan/learningPY | 4b77078b3388d033378641ade920e02767aaf005 | 93c10c5225a306c791402095e1cf0b454f31d0c2 | refs/heads/master | 2023-04-10T08:07:57.339725 | 2021-04-22T08:35:42 | 2021-04-22T08:35:42 | 354,438,781 | 1 | 0 | MIT | 2021-04-22T08:35:43 | 2021-04-04T02:28:43 | Python | UTF-8 | Python | false | false | 528 | py | 05_hierarchical_inheritance.py | class Vehicle: # parent class
def setTopSpeed(self, speed): # defining the set
self.topSpeed = speed
print("Top speed is set to", self.topSpeed)
class Car(Vehicle): # child class of Vehicle
pass
class Truck(Vehicle): # child class of Car
pass
corolla = Car() # creating an object o... |
c0d8637b34b9eedbef5f064826c6d23f2b27e001 | 069cf7d12c23cd15214a43413b61de6624ce3dad | /project/tasks/models.py | 6ee808d4497d7e308f221e7937c715a4e812a46d | [] | no_license | simmol/todo_api_service | 044f225e7426fb6b920cccc85517d1ab2066e7a6 | 9a9a964b5fc375869c1f73112352604e5e932db8 | refs/heads/master | 2020-07-28T06:40:26.543292 | 2019-09-18T15:21:43 | 2019-09-18T15:21:43 | 209,340,773 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,484 | py | models.py | from collections import OrderedDict
from flask import session
from project.tasks.exceptions import TaskNotFound
from project.tasks.storage import Storage
class TaskDTO(OrderedDict):
pass
class Task(object):
storage = Storage()
@classmethod
def create_task(cls, label, parent_task_uid=None):
... |
72875320e09016efa9e959fecc4803e2dabdf73e | c0cd6013a19b0e886d487ec3f7d804c54983382f | /jsk_data/node_scripts/camera_coords_change_trigger.py | 2b5ce74748e09bc9cb055db1708602f00dfeea0c | [] | no_license | jsk-ros-pkg/jsk_common | 84ad8cd40d54e0c8b8583b4d77769b60175ac347 | feee1a5a4330bbdf23b98b131f8b5080724237ce | refs/heads/master | 2023-06-11T05:12:59.045863 | 2023-05-28T05:21:18 | 2023-05-28T05:21:18 | 17,374,588 | 47 | 70 | null | 2023-08-31T06:02:13 | 2014-03-03T17:58:29 | Python | UTF-8 | Python | false | false | 4,512 | py | camera_coords_change_trigger.py | #!/usr/bin/env python
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from termcolor import colored
from geometry_msgs.msg import PoseStamped
import rospy
from std_srvs.srv import Trigger
import tf
def compute_pose_delta(pose1, pose2):... |
27071b6b9cbb57e6676ad38e5cb5903e83e01ac1 | 4da718124f8d581a66f8b5b657101aa9ef9b94a2 | /investing/migrations/0002_remove_stock_last_price.py | e362071eb6362cd37b1c7c41581ed3bc7254fb42 | [] | no_license | GasperVrhovnik/FactorInvesting | 3e7728f854a7832c4e94089f0cedab0007de4474 | 03f9d11e02caebf6dfb13db9207d423c2b66e8f4 | refs/heads/master | 2021-03-11T22:32:35.340073 | 2020-03-12T22:32:24 | 2020-03-12T22:32:24 | 246,566,023 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 320 | py | 0002_remove_stock_last_price.py | # Generated by Django 3.0 on 2020-01-20 13:52
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('investing', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_name='stock',
name='last_price',
),
]
|
ff2198e2343a006eb368014fecbe715ae16357d0 | 50556a22dc28d496254364cf76f5384ef1828600 | /src/data/common/dataset.py | b1a22ecc55d7e9565da867041a739763ed87e2f5 | [
"MIT"
] | permissive | youngerous/FontStyler | 22efda2131ba168167c6858cb733070bb0ec8c45 | 990cf627d902fb107669c43292dc88eee5dd2fca | refs/heads/master | 2020-09-02T23:59:23.941675 | 2020-02-11T07:55:13 | 2020-02-11T07:55:13 | 219,334,711 | 3 | 0 | null | 2019-11-03T16:59:03 | 2019-11-03T16:59:03 | null | UTF-8 | Python | false | false | 10,283 | py | dataset.py | # -*- coding: utf-8 -*-
from __future__ import absolute_import, print_function
import glob
import io
import os
import os.path
import pickle as pickle
import random
import numpy as np
import pandas as pd
import torch
import torch.utils.data
import torchvision.transforms as transforms
from PIL import Image
from torchv... |
24059e4d3d647e098db4bea19d470770fb04d8a5 | 769ffe986e2212cfc40ff9f44ee5fae98ea2e15b | /resnet_ex.py | 1aee16a729e345038d2c3b7999de4bdad5b2a4db | [] | no_license | nerokillooo/Classic-Networks-of-Semantic-Segmentation | 6ddba48f109a6a7b78fa30e43a85bbb1cd3f72a3 | 69d2a7a2a2f513ca72777fcd5ecd79d9ed58329b | refs/heads/master | 2022-11-30T00:41:44.422031 | 2020-07-16T01:34:46 | 2020-07-16T01:34:46 | 255,279,584 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,706 | py | resnet_ex.py | import torch
import torch.nn as nn
from torch.hub import load_state_dict_from_url
model_urls = {
'resnet18': 'https://download.pytorch.org/models/resnet18-5c106cde.pth',
'resnet34': 'https://download.pytorch.org/models/resnet34-333f7ec4.pth',
'resnet50': 'https://download.pytorch.org/models/resnet50... |
4fb41bcd66f7fa45d6d4458157852c0511f1be3e | a3b805b05207ec2b31d5cebc9d6ae59b638856f9 | /serapis/storage/io_utils.py | 1971dd5daca6c6f5e054c33d405de79fd0b7f7dd | [] | no_license | wtsi-hgi/serapis-web | b342509c4d772a7e46c0c562808953744897bc62 | 8b87a11463ce60757bb371479e654a9fd54a0323 | refs/heads/master | 2021-01-21T05:00:05.418130 | 2014-11-20T10:03:52 | 2014-11-20T10:03:52 | 7,771,605 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 46 | py | io_utils.py | '''
Created on Oct 31, 2014
@author: ic4
'''
|
3e1e4a04634203be35ad6fd9b1e690f57dcadd48 | 2fa513f8a21e511c333fc9d5baf89f9aae2be672 | /gen_sgq.py | 8cd4a56144bf5edfb07ecaf8ff07370e23ba0bb0 | [] | no_license | Helen-digger/igmp | 296c1a2b5befbfae92022b0809c2f33162384484 | 3955536df0b74185fa1a288c5a1a5d25de1a08d2 | refs/heads/master | 2021-01-20T23:51:08.574665 | 2017-09-19T06:12:57 | 2017-09-19T06:12:57 | 101,853,503 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 990 | py | gen_sgq.py |
#! /usr/bin/env python
import logging
logging.getLogger("scapy").setLevel(1)
from scapy.all import *
import sys
iface = sys.argv[1]
class IGMP(Packet):
name = "IGMP"
fields_desc = [ ByteField("type", 0x11),
ByteField("mrtime",100),
XShortField("chksum", None),
... |
ca64f88891ecebfe8191b4d0d37d0068b75a26d1 | c6197706a9093e5e61203d102e3659d972454fd8 | /asr-spider/music_update/music_update/spiders/kuwo.py | c3dbddc7575f32032f52a0b94acaee7f3e024a66 | [] | no_license | hujinzhongcs/spider | 6ef712f4a877a9d3869b3bc5a78473a1803d25c0 | c6dcfb9d44315b49367f0a9264038dc989a12ccc | refs/heads/main | 2023-06-18T13:24:24.379072 | 2021-07-14T03:50:56 | 2021-07-14T03:50:56 | 385,803,797 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,650 | py | kuwo.py | import scrapy
from selenium import webdriver
from music_update.items import MusicUpdateItem
import datetime
from pymongo import MongoClient
from urllib import parse
import requests
import json
import math
class KuwoSpider(scrapy.Spider):
name = 'kuwo'
# allowed_domains = ['www.kuwo.cn']
start_urls = ['htt... |
845dfdac3e976ca903a3cd6ed45ad340282b516e | a2d7182b6c51b81c767106d9a546e912df0523ea | /Fxmovie/models.py | 206cb9237cc74e092c20e39803db6412806f7b01 | [] | no_license | ravichoudhary18/Django_Movie | df24fcd5728c6eb7351949543cf38b28a609bb78 | 727fe4892c677e5d9d1b6352de075eaca3604f4e | refs/heads/master | 2022-11-24T22:39:48.567438 | 2020-07-29T07:37:28 | 2020-07-29T07:37:28 | 275,610,134 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,130 | py | models.py | from django.db import models
from django.utils.text import slugify
# Create your models here.
CATEGORY_CHOICES = [
('action','Action'),
('drama','DRAMA'),
('comedy','COMEDY'),
('romance','ROMANCE'),
]
LANGUAGE_CHOICES = [
('english',"ENGLISH"),
('hindi',"HINDI"),
]
STATUS_CHOICES = [
('RA... |
7894a3b4263be29e8bc60e4b21430b8e13adcd26 | 2651e67cdbd9f9f51c0b3060bbaf781ac6300f20 | /jsonfile.py | 6dca9ba2df29b79bb9662c07d26613a57698075c | [
"MIT"
] | permissive | ManishDhankani/NLP_Project | 72c5edb03109c2084dec6516b146864ef957267e | 1128e99343c451187570480e2f7221d60d2bcfa7 | refs/heads/master | 2022-12-13T23:41:31.758581 | 2020-09-07T23:05:00 | 2020-09-07T23:05:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,129 | py | jsonfile.py | import argparse
import codecs
import sys
import json
reader = codecs.getreader('utf8')
writer = codecs.getwriter('utf8')
def write_file(fname, data):
with open(fname, 'w', encoding='utf-8') as outfile:
return json.dump(data, reader(outfile), ensure_ascii=False, indent=2)
def read_file(fname):
f = o... |
5cf480350eb8db6d8b446e260ccb07347545f864 | f72e294ff13cf86503dc5f93a0a24b3849d83bc4 | /Asteroids.py | fc4c231117b26c7d80d68fd80c084fe9e850a8b2 | [] | no_license | Big-Wisdom1996/Asteroids | 2e85272eaa8e27bb3481e5932b0fe72ed0467064 | a460107cb5be51e53ab2ab1f4fd6a40b12187828 | refs/heads/master | 2020-03-19T17:48:30.968923 | 2018-07-09T02:35:41 | 2018-07-09T02:35:41 | 136,767,218 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,171 | py | Asteroids.py | import pygame , sys, numpy, random
from math import *
from pygame.locals import *
pygame.init()
windowWidth = 800
windowHeight = 800
displaySurf = pygame.display.set_mode((windowWidth,windowHeight))
pygame.display.set_caption('Asteroids')
fpsClock = pygame.time.Clock()
pygame.font.init()
FPS = 5 # set frame rate to 5 ... |
5673cd9b5ca1926700657cef80393a408f4e2af0 | 8d34741a90a21ff685080d58abdfcb1f01d173a9 | /tkinter101/2_grid.py | b882940ece21bca6d00d552a270d0600ce3a355d | [] | no_license | ansh8tu/GUI-using-Tkinter | 1fa4f9eeee236609e2421eed6e2dc10312ae42cf | 44a75d20ed00ac38aab120c4e7297e8264cfb138 | refs/heads/master | 2023-03-05T11:45:56.129790 | 2021-02-17T04:07:44 | 2021-02-17T04:07:44 | 336,875,393 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 427 | py | 2_grid.py | from tkinter import *
#main
root = Tk()
#creating a label
myLabelWithGrid = Label(root, text="Hello, let\'s go anywhere")
myName = Label(root, text = "Umm, let's stay at home only it\'s covid! ")
#so what the grid does is that it fixes the position of the label at the given (row,column) co-ordinate
myLabelWithGrid.... |
841601cddae512f15a08f1502544b1ef7da1d278 | d7f3a7c93c7a1ede5ab2b4d10c7fc4d070fc49e8 | /autostew_web_enums/apps.py | e61cef0c5912627b68ddd73e1689e6dbdba3e5a1 | [] | no_license | hophans/HamsterStew | 469cabe72440915bf0a8bbb3dbaa60206c8a7c9e | cd35d8c128eb9746f75397afa77300cd7e5d6e65 | refs/heads/master | 2020-02-26T15:20:53.235179 | 2016-07-18T12:18:59 | 2016-07-18T12:18:59 | 63,596,453 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 109 | py | apps.py | from django.apps import AppConfig
class AutostewWebEnumsConfig(AppConfig):
name = 'autostew_web_enums'
|
917199b304947a126f7f3af2296fd0fd1f34cf03 | c24da038c8b72d890276234859f059c6d3be977c | /AdEx_test.py | c074eae9f081a23b5591fa463d515fdd6c254cfa | [] | no_license | OlegFS/N_balance | 380316ac8761d691503c1117ca1a9eaa4532dbe8 | 273cd986085f1be54ebaa9b6d4fb3c46cb0928d8 | refs/heads/master | 2020-03-19T12:10:02.742291 | 2019-04-20T19:05:03 | 2019-04-20T19:05:03 | 136,500,437 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,674 | py | AdEx_test.py | from func.AdEx_meta import *
from func.helpers import *
import sys
J =[1.4]#,700.,700.,700.,700.,500.,510.,510.,450.]#400.,450.,450.,450.,600.]#[3822.]#[392.,427.,540.,854.,1709.,3822.]#[ 450., 450., 450.,450.]#[400.,450.,450.,450.,600.]#[400.,400.,400.,400.,400.]
g =5.#np.float(sys.argv[1])#4.0#(NE/NI)
eta =0.5#np.fl... |
7ba6de37d636a4451167e82baded3a17aae39c17 | 0d07970f412a67e06bdec46324772e9824e411c8 | /app.py | da20e974a8b516602f9df54bfcaa89ee907c61f8 | [] | no_license | wuaiwuai/contacts-app | 9504b3ff31a9e951d425565363b295013bb1dd0c | 477049bdcf5fc41ef4835283886dcb9840916a6e | refs/heads/master | 2016-09-05T22:59:01.131689 | 2014-12-13T21:32:13 | 2014-12-13T21:32:13 | 25,051,986 | 0 | 0 | null | 2014-12-13T21:32:13 | 2014-10-10T20:30:38 | JavaScript | UTF-8 | Python | false | false | 6,915 | py | app.py | import os
import sys
import pymongo
import bson
from flask import Flask, request, session, g, redirect, url_for, \
abort, render_template, flash, jsonify
SECRET_KEY = 'development_key'
app = Flask(__name__)
app.config.from_object(__name__)
# routes concerned with login/logout namespaced to '/auth'
@app.route('/a... |
8691839684ef52ea3141b5a5e015cef3b36423a3 | 090a7fd471b7ccf5130ffe5c7b1e31300ea9e0e9 | /q3test.py | f7a39e3b84002281edd064f0e09ca02943a0c4b8 | [
"MIT"
] | permissive | yashkundalia/information-system | 1a7859d42c134fc1e32556f3535ca531d9af815f | 7c0d5d2338a4167c0849551c772df992b1af1247 | refs/heads/master | 2020-12-26T21:32:47.878837 | 2020-02-01T18:18:41 | 2020-02-01T18:18:41 | 237,651,844 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 464 | py | q3test.py | from q3 import square,sphere,cube
sq = square(2)
per1 = sq.peri()
area1 = sq.area()
print("perimeter of square = " ,per1)
print("area of square = " ,area1)
sp = sphere(3)
vol2 = sp.vol()
area2 = sp.area()
print("volume of sphere = " ,vol2)
print("area of sphere = " ,area2)
cu = cube(4)
per3 = cu.peri(... |
455a086a055395aba5d38fafe01f9df8c6e76030 | 2e35dafa66a053998f753cc0f47d4c584633d2e8 | /cogs/admin.py | bd207e23ada2da47f01e36a0b76be2e38262f69b | [
"MIT"
] | permissive | SaidBySolo/KMDL-Discord-Bot | 4bb204a67ac2e4fe78f36d7e743ac4a0bca3afd5 | eb7089def81614046492503246d3f1ff336fb2c0 | refs/heads/master | 2022-07-03T07:20:24.201819 | 2020-05-14T03:04:33 | 2020-05-14T03:04:33 | 259,513,057 | 1 | 0 | MIT | 2020-04-30T03:43:19 | 2020-04-28T02:44:26 | Python | UTF-8 | Python | false | false | 8,474 | py | admin.py | import discord
import asyncio
from discord.ext import commands
import datetime
n = datetime.datetime.now()
now = f'{n.year}. {n.month}. {n.day}.'
class Admin(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.has_permissions(administrator=True)
@commands.command(name='뮤트')
asyn... |
71de55e3666336ea004b48d58181860d017f06af | 0ffd2dae43716fd57e63a6071f678b7cdc1cbd37 | /wh/05/10817.py | e8ae318b53d3042b6a3c022170027f2e61cfe2f4 | [] | no_license | wonnerky/codemaster | c849caad39a58a6c3339b1c5a733c69ba1149163 | aac45943e966f74c2b70e00b9e32004a1c6f4d39 | refs/heads/master | 2021-05-24T12:05:03.626980 | 2020-05-13T01:43:43 | 2020-05-13T01:43:43 | 253,551,355 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 81 | py | 10817.py | import sys
a = list(map(int, sys.stdin.readline().split()))
a.sort()
print(a[-2]) |
78327d92076e209a9f43aec2e2d16b52ffcf5ebb | 9c8729ed9ec0d67227efa42406667141afd5f805 | /tech/ai_algo/ml/supervised/logistic_regression.py | 371a77031166d053a3d5cb9098b26aae4d2a84f1 | [] | no_license | lianxiaolei/Ginormica | 6579eb61dfe66c5994f465bfdad9c37fc356a9ab | f56dfcc31b3c6f5e56a586f58b5e9d9c96f049c2 | refs/heads/master | 2020-03-19T09:57:18.551152 | 2019-01-23T11:05:07 | 2019-01-23T11:05:07 | 98,890,680 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,655 | py | logistic_regression.py | #!/usr/bin/python
# -*- coding: utf-8 -*-
import numpy as np
import random as rd
def sigmoid(in_x):
return 1.0 / (1 + np.exp(-in_x))
def gradient_asscent(x, y, alpha=0.001, cycles=400):
data_matrix = np.mat(x)
label_matrix = np.mat(y)
m, n = np.shape(data_matrix)
weight_matrix = np.random.rando... |
a92bbbe8f6e0a65d2190e01b551da35f94416f52 | 01edd21a7e7b49b1d92a20b5720a036111adf2ab | /tests/dns_check.py | 7dc223b1df74bca70e72de4895f09dcc3753d16b | [] | no_license | zq-david-wang/k8sclient | 3e83214ea0432053779cbe244999be33f8514330 | ceac795dd1c968af6d199e88a8ea45af020754f5 | refs/heads/master | 2021-01-21T10:15:53.211251 | 2018-06-11T11:47:03 | 2018-06-11T11:47:03 | 101,976,698 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,902 | py | dns_check.py | from k8sclient.keywords import (
list_ready_nodes,
wait_for_pod_state,
SUCCEEDED,
tail_pod_logs,
delete_pod,
NOT_FOUND,
remove_pod
)
from k8sclient.Components import (
PodBuilder,
)
import argparse
import time
parser = argparse.ArgumentParser()
parser.add_argument("--queryserver", type... |
2d2d56a08caa6bc7c439fba019b61cb0a4098e5a | 812d13b22013260125775fc79a65ceeaeb0c5eda | /tests/test_misc.py | bb588fd60ad75253fd0c22adff2a5f6008451641 | [
"BSD-3-Clause",
"MIT"
] | permissive | msarahan/conda | a603aa3bc0958e9705d75cfa7be36b4364cbc276 | 624127e1d3815eea023c5989eb254a74b0eed238 | refs/heads/master | 2020-12-25T23:26:14.289485 | 2020-01-10T19:34:24 | 2020-01-10T19:34:24 | 44,129,453 | 1 | 4 | NOASSERTION | 2019-07-17T01:39:22 | 2015-10-12T19:30:45 | Python | UTF-8 | Python | false | false | 3,395 | py | test_misc.py | # encoding: utf-8
import codecs
import sys
import unittest
from conda.core.subdir_data import cache_fn_url
from conda.misc import url_pat, walk_prefix
from conda.utils import Utf8NamedTemporaryFile
class TestMisc(unittest.TestCase):
def test_Utf8NamedTemporaryFile(self):
test_string = 'ōγђ家固한áêñßôç'
... |
9cb49fd19b2792cf88bbfb7778da0fb13786b4b6 | 8b741f600dab7c2d325e9df8670a4b2dd28f9b4e | /cibillaSNR/moduloCibilla.py | a0e0aceca74b2d9e2bee89eef6dcac63556d6ead | [] | no_license | ValdemirBSJr/python | bcffa34f68f57a5d348bdf2c748bb9137838377c | 53313e73caa0b05421a9095da40c7f2e15fe3ec7 | refs/heads/master | 2021-07-12T00:18:06.653516 | 2020-11-11T16:48:16 | 2020-11-11T16:48:16 | 218,360,063 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 41,127 | py | moduloCibilla.py | #!/home/user/.virtualenvs/k36/bin/python
# -*- coding: utf-8 -*-
# Author: Valdemir Bezerra
#imports
import re
import subprocess
import csv
import requests
import bs4
from requests.auth import HTTPBasicAuth
from emoji import emojize
from ldap3 import Server, Connection, ALL, ALL_ATTRIBUTES, core
def return_CMTS_name... |
5a2266e1b97af64bb94b2c53e120af86a2efe2fc | 3591d71bb527a2e874302be6025882a7a9f61be7 | /main.py | cca76e2cfb34da7d56daa898824227ca59cb36e3 | [] | no_license | Jluct/python-tkinter | 57c60ec932c632504c31ea6050ee958362b5ce75 | e824ccaad5eb7e8b49ab5ba033a107e7f37071b2 | refs/heads/master | 2020-04-19T09:36:47.918954 | 2016-09-05T18:03:40 | 2016-09-05T18:03:40 | 67,440,999 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 823 | py | main.py | from tkinter import *
root = Tk()
root.title("Мессаджер")
root.minsize(800, 500)
root.maxsize(800, 500)
user_name = Label(root,
text="Иванов Иван Иванович",
fg="red",
justify='center',
font="Arial 20",
# width=50,
... |
c46addba3873febc09b246b716cb7153e4b648dd | 528227a86dc7ef417c53337b11a20ec729ab1866 | /main/models.py | 0f2606ffa0bd4b98553d6eb1a6e37fd2a028ebca | [] | no_license | justben/mysite_ | ac931405025878c7f3e797f956133ab54175d922 | 48c73eb6fbbda06ff2129e0cad36adc3f458fa2b | refs/heads/master | 2021-05-03T11:59:26.341146 | 2018-02-07T16:37:50 | 2018-02-07T16:37:50 | 120,492,749 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,241 | py | models.py | from django.db import models
# Create your models here.
class Number(models.Model):
#numid = models.IntegerField()
user = models.CharField(max_length=10)
file = models.CharField(max_length=50)
time = models.CharField(max_length=14)
class Dmline(models.Model):
dmlines = models.CharField(max_length=10)
#dmid = m... |
e92a1d7a295088f190a5d8689705b92a640d1204 | d49cfe38764aa35992ba5cf65655a6a45d9487c8 | /基本计算器.py | c8436f24e59c447e6a3223160713da1085db74bf | [] | no_license | getabear/leetcode | fc0797f664ab4052aa2635341f4bbe40b74ec2b8 | 4af6608166f2e4cdfcfb0bbb92133b4a0f90ea34 | refs/heads/master | 2021-07-15T11:05:23.049235 | 2020-11-15T12:57:14 | 2020-11-15T12:57:14 | 224,601,175 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,145 | py | 基本计算器.py | class Solution1:
def calculate(self, s: str) -> int:
# 提交后通过了,但是代码冗余,看起来很难受
def fun(s):
index=0
stack=[]
sign=1
tmp=0
while index<len(s):
if s[index]=='+':
stack.append(tmp*sign)
sign=... |
60aa14c1566ffa4a54e58a3a9047c8d5de566f68 | 2de5d446acc86ae44d6e391ce9712dda7f91c094 | /app/utils/security.py | 51ef1a9e523de834490ad5714344926e26146701 | [] | no_license | vercel-support/god-horse-app | d2ace84d7903a509702268225099aa31181cc958 | 8dddbd1d6660a3fd51bcbef1e482c6a95f91347a | refs/heads/main | 2023-03-11T19:48:24.393607 | 2021-02-28T13:07:28 | 2021-02-28T13:07:28 | 346,542,316 | 0 | 0 | null | 2021-03-11T01:30:46 | 2021-03-11T01:30:45 | null | UTF-8 | Python | false | false | 538 | py | security.py | from fastapi import Depends, HTTPException, Security
from fastapi.security.api_key import APIKeyHeader
from starlette.status import HTTP_403_FORBIDDEN
from ..config import Settings, get_settings
API_KEY_HEADER = APIKeyHeader(name='x-api-key')
def api_key_checker(
api_key: str = Security(API_KEY_HEADER), setting... |
335c716eedfe936932c9dc0fbb5c387fd0ca5ef9 | a2c7a69617d1c97a0dcdd102c220821add3730df | /conftest.py | 68549a2d5d3c0e08de8c9ad639a3d10cb0f31b4e | [
"Apache-2.0"
] | permissive | sashkalysenko/Selenium_Again | 06ebca3871cb7eebeaf6d40a15fee98e7396bd3a | 8852400e375c34685ea8215f17c3f99848d7a3e6 | refs/heads/master | 2021-01-19T09:11:07.419122 | 2017-10-20T22:31:32 | 2017-10-20T22:31:32 | 87,738,106 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 497 | py | conftest.py | import pytest
from fixture.adminka.app_adminka import AdminApplication
from fixture.app import Application
@pytest.fixture
def app_adm(request):
wd = AdminApplication()
print(wd.wd.capabilities)
wd.open_login_page()
wd.login_as(username="admin", password="admin")
request.addfinalizer(wd.destroy)
... |
72a998b480901cff19b6bb51c8cfd21c45e3db96 | 07fb8dfe60bb4088d135dae916f60c684b60abd2 | /cscourses/__init__.py | 9bf43dd7fa7016ab2398149c5d3e71edba48f7dd | [] | no_license | nicholsons/comp0034_js | a6202bba6202c21df2a05d5bcb764ce97351444a | 8d97707b36fd4e2489fc58e4093423300c1707de | refs/heads/master | 2021-03-14T21:25:11.161538 | 2020-03-10T13:18:43 | 2020-03-10T13:18:43 | 246,795,543 | 1 | 0 | null | 2020-03-12T09:35:36 | 2020-03-12T09:35:35 | null | UTF-8 | Python | false | false | 5,675 | py | __init__.py | from flask import Flask, render_template
from flask_login import LoginManager
from flask_sqlalchemy import SQLAlchemy
from config import DevConfig
db = SQLAlchemy()
login_manager = LoginManager()
def page_not_found(e):
return render_template('404.html'), 404
def internal_server_error(e):
return render_tem... |
fbcefe1d78c150243c26694c95e9bdab2eb1d211 | 72d29157f0c693daa20037732f7d373ed4efb050 | /feature-engineering/src/sparkUtils.py | 005f46903b39e0e20a4ee3e96e47aaa54b8c1ff6 | [] | no_license | ethanchiu7/atlas | 8ad08fe514a3b07987e9d55b2f256447f88d2beb | 7565becb42e3c3b066113fcb4e2db93bf64b9f51 | refs/heads/master | 2022-02-15T20:04:58.116759 | 2019-09-03T04:04:28 | 2019-09-03T04:04:28 | 139,117,389 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,425 | py | sparkUtils.py | import os
from pyspark import SparkConf, SparkContext, StorageLevel
# def load_data_to_rdd(sc: SparkContext, data_path: str, seq='\t'):
# rdd = sc.textFile(data_path) \
# .map(lambda x: x.split(seq, 1)) \
# .filter(lambda x: x and len(x) == 2 and x[0] and x[0] != "") \
# .persist(StorageLe... |
1e6d503068b33ff7ea8c55fababd6323776d320f | 9bc6c9a66982cb4379a280d72fd9242810edccdb | /shop/models.py | 88b9ea59ede6e8b9974204a71524ba672ce6db5d | [] | no_license | Heulwen31/django_web_app | 359be777b00c8d3ec228e60780168364d5980e60 | 30c6aad49aa487ee34e0116638d696da10e45640 | refs/heads/master | 2023-04-16T20:41:40.534536 | 2021-05-09T10:07:47 | 2021-05-09T10:07:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 788 | py | models.py | from django.db import models
from django.contrib.auth.models import User
from django.utils import timezone
# Create your models here.
class Product(models.Model):
name = models.CharField(max_length=100)
cost = models.IntegerField()
image1 = models.ImageField(null=True, blank=True, upload_to="images/")
... |
e0b01a1fe4f30ba2970505dd2d866971fcdaeb69 | d4744b03a717c082025d3ed0db0c09b79835cd4e | /gen/AntlrParser.py | 85acdf6a4481c2cbc54f96b02dc5ea452944a22f | [] | no_license | CloudPai/ScratchAnalysis | 27f46b73eccedf122b6c3de235f803fc6284101a | 43f71b6923ccfe29a877a01a4f2fa1f2ce55ab98 | refs/heads/master | 2021-05-10T16:35:46.143502 | 2017-07-25T08:11:22 | 2017-07-25T08:11:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 53,804 | py | AntlrParser.py | # Generated from E:/new/antlrg/ScratchAnalysis\Antlr.g4 by ANTLR 4.7
# encoding: utf-8
from __future__ import print_function
from antlr4 import *
from io import StringIO
import sys
def serializedATN():
with StringIO() as buf:
buf.write(u"\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u7786\u5964\3")
buf.wr... |
e1ca45310a029eaaf09bce2fa2866c21897c52d3 | ba1fd02295d593334c2a001f508efe50c7c7c876 | /algorithms/sampling_based/utils/state_samplers.py | 16e048673bcfbe50bcd9e3dfc142765b10ab8114 | [
"MIT"
] | permissive | yuhangc/planning_algorithms | 7750f6e5206307f57eaa498b592fb326194f2194 | 6918acc22ace74a7ab2e89d37d330eeccdee9244 | refs/heads/master | 2021-08-10T20:21:05.850937 | 2017-11-12T23:30:41 | 2017-11-12T23:30:41 | 107,081,092 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,756 | py | state_samplers.py | import numpy as np
class StateSamplerBase(object):
"""
State sampler base, with optional goal biasing
"""
def __init__(self, goal_bias=None):
"""
:param goal_bias: goal biasing probability. None means no goal biasing.
"""
self.goal_bias = goal_bias
self.goal_sta... |
9ac1069234ad8584e958af39bf50de8f7f633c1d | 7971340b3739d324d16bcb3ec6eda0fc351691da | /src/mbtest/imposters/base.py | e01bf21a9a15f6e94867973f3aaf5400d26e24c7 | [
"MIT"
] | permissive | Https-hatboy-com/mbtest | 6c08e3494d63a46b0f3d54063f4b6dc43d658f78 | 37385acbaae7c4805b6653f8fdba2b9e5f4052af | refs/heads/master | 2020-09-22T06:56:10.921511 | 2019-11-22T10:16:33 | 2019-11-22T10:16:33 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,352 | py | base.py | # encoding=utf-8
from abc import ABCMeta, abstractmethod
from typing import Any, Mapping, MutableMapping
# JsonStructure = Union[MutableMapping[str, "Structure"], Iterable["Structure"], str, int, bool]
JsonStructure = Any # Pending a better solution to https://github.com/python/typing/issues/182
class JsonSerializa... |
8527b080544a9bd37fc947ac62ef1899c02d3caa | 0fcddcbebf148b72c139d070f690b6e477722b41 | /default_paramater.py | b83f1fb42daacb5d3b5203bbc2812c6c6ade4f62 | [] | no_license | annandltp/belajar-python | 06e6f7c7e121bf9bf524641ac39cab73118f386c | 6733f4f52cb5f53d354e080786e033cbfbe15e73 | refs/heads/main | 2023-08-14T19:10:40.252025 | 2021-09-17T22:09:14 | 2021-09-17T22:09:14 | 407,691,146 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 125 | py | default_paramater.py | def say_hello(first="anna", last="dela"):
print(f"hello {first} - {last}")
say_hello("eko")
say_hello(last="anan") |
e36c2b6a7f4c4621f12b5073bad2dbc564db14ec | 8375e0c39a068eb68aa488bb0c75b1898b46d257 | /mofan/301_regression_FC_GPU.py | 00e3231ac4e4a50bcac08b6626de82917d889194 | [] | no_license | PandoraLS/pytorch | 8483e079aec9a667fb618bb1ed5b2d6da85ec976 | 8404ed347098ac0aab9b643077286f8edc03ae28 | refs/heads/master | 2020-04-23T01:53:23.364584 | 2019-11-08T07:23:56 | 2019-11-08T07:23:56 | 170,827,676 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,416 | py | 301_regression_FC_GPU.py | # -*- coding: utf-8 -*-
"""
View more, visit my tutorial page: https://morvanzhou.github.io/tutorials/
My Youtube Channel: https://www.youtube.com/user/MorvanZhou
Dependencies:
torch: 0.4
matplotlib
"""
import torch
import torch.nn.functional as F
import matplotlib.pyplot as plt
from torch import nn
torch.manual_seed... |
2020eae1cf249f1bce3b124b953f6d496efdc913 | 6d6094c80c8f1d115d99dc7ab52de4f8254b876a | /Course/Python/part2_python/two.py | d016a8be415bdb20542b29696ee4381a1be439b3 | [] | no_license | abhishekshinde2104/Django_Bootcamp | c042e91fb73c3853bc61cb9ffb2a9c94ee4b0bb0 | 2909e3506f7a04ff44d4ed4f4e984cd7b95d0c96 | refs/heads/master | 2022-12-13T13:35:43.118684 | 2020-08-31T08:09:20 | 2020-08-31T08:09:20 | 291,647,696 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 263 | py | two.py | import one
print("Top level two.py")
one.func()
if __name__ == '__main__':
print("Two.py being run directly")
else:
print("two.py is run directly")
#whenever the twp.py is run
#__name__ is set to __main__ and the corresponding if is true
|
d260825bd1bb123bbc924cdfce1612fd1f808e00 | 7299ea5070a61302bad7b2bf367e23d2b3aca6d9 | /source/home/migrations/0024_auto_20150807_1128.py | 00e6f9dd2982989765f647c81f5e34957df05e58 | [] | no_license | taedori81/tyndale | 760603e296acf8b1989394b013e47c45e1d59700 | 1b6c66fe3b70d7a2da0a428eaf14b180b8768ee9 | refs/heads/master | 2021-01-10T21:52:36.944096 | 2015-08-10T22:27:35 | 2015-08-10T22:27:35 | 35,113,244 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 771 | py | 0024_auto_20150807_1128.py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('wagtailimages', '0006_add_verbose_names'),
('home', '0023_auto_20150807_1055'),
]
operation... |
96343fe890f0864221d4c7286a917b838b5e1299 | bf35560d46b86b8ee87d4a528078fa8a507531ab | /Tree.py | 3dafe0863bb47ddb40647234da62084925584b37 | [] | no_license | navneetraju/AutoBleak | 37cc0ad00c47e2b91e2ed53dade2e210d3189883 | 54370cd975f1758ffef28849a41ca869b3d07511 | refs/heads/master | 2022-11-12T17:37:51.365916 | 2020-06-21T06:22:28 | 2020-06-21T06:22:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,625 | py | Tree.py | import json
import copy
start="/hotel/admin/roomreservation.php"
loop_size = 4
with open('guess.json') as json_file:
data = json.load(json_file)
"""
graph = {}
for item in data:
s={}
total = item["exits"]
for next in item["nextPages"]:
total += next["pageviews"]
for next ... |
415f079398d17bb39ff2ca7e2a08e75a853063e7 | 37417e097c86fe1b47ead8881b7fd7f5be47c59d | /Deep-LSTM-RNN.py | 59446853eb4c444a2adc19edb7e7200267e1c77a | [] | no_license | George091/RNN | 29a030fcb9d010d6e2d2c1769a65669be1dd8cd7 | 99d2a87b10dee64d2bb3d319b3ef1aea18d66d54 | refs/heads/master | 2020-09-04T17:18:47.277746 | 2019-12-30T02:14:24 | 2019-12-30T02:14:24 | 219,828,258 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,521 | py | Deep-LSTM-RNN.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 21 20:03:08 2019
@author: georgebarker andrezeromski
"""
from keras.datasets import imdb
from keras.preprocessing import sequence
from keras.models import Sequential
from keras.layers.embeddings import Embedding
from keras.layers import Dense, Bidi... |
ad76230179ff6e9facf7120ceef5590b8e57c5a3 | b9f22ed262698a2a1ac4f68a029992045d4a6b24 | /students/admin.py | 1a6db966424d07d463a51df79d57449a0955db74 | [] | no_license | wechulimaven/Lwandeti-High-School | 799739ea2abb4b7dd41216af1ae6b48a39e49e9d | 0e137a0a07857934af90145115f2f61fd0b5ad61 | refs/heads/main | 2023-03-21T08:42:18.025214 | 2021-03-16T17:14:15 | 2021-03-16T17:14:15 | 348,300,375 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 181 | py | admin.py | from django.contrib import admin
from.models import Student, Hostels, StudentBoarding
admin.site.register(Student)
admin.site.register(Hostels)
admin.site.register(StudentBoarding) |
37b99e7fae0127f2f3e8fbc7303733da1c79b8dd | 1825283527f5a479204708feeaf55f4ab6d1290b | /leetcode/python/1139/1139.largest-1-bordered-square.py | 0ab52c914b6ba0c5e353fd611029ddc72854174b | [] | no_license | frankieliu/problems | b82c61d3328ffcc1da2cbc95712563355f5d44b5 | 911c6622448a4be041834bcab25051dd0f9209b2 | refs/heads/master | 2023-01-06T14:41:58.044871 | 2019-11-24T03:47:22 | 2019-11-24T03:47:22 | 115,065,956 | 1 | 0 | null | 2023-01-04T07:25:52 | 2017-12-22T02:06:57 | HTML | UTF-8 | Python | false | false | 872 | py | 1139.largest-1-bordered-square.py | #
# @lc app=leetcode id=1139 lang=python
#
# [1139] Largest 1-Bordered Square
#
# https://leetcode.com/problems/largest-1-bordered-square/description/
#
# algorithms
# Medium (42.11%)
# Total Accepted: 3.3K
# Total Submissions: 7.9K
# Testcase Example: '[[1,1,1],[1,0,1],[1,1,1]]'
#
# Given a 2D grid of 0s and 1s, r... |
05a0373691518d8d503efb376915ff403e3d66d7 | 944d3c07a3e0edb65f41a4a302f494e6b44e3f45 | /nntoolbox/vision/components/inception.py | 9aa5dd744b83dd2ff1353f2e597a14eaf7a3c335 | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | nhatsmrt/nn-toolbox | acbc753d6081ed1e2ed91ac0fd3343287c78a094 | 689b9924d3c88a433f8f350b89c13a878ac7d7c3 | refs/heads/master | 2022-12-05T21:11:23.725346 | 2021-08-15T17:03:34 | 2021-08-15T17:03:34 | 189,150,286 | 19 | 3 | Apache-2.0 | 2023-09-08T19:29:53 | 2019-05-29T04:25:16 | Python | UTF-8 | Python | false | false | 1,720 | py | inception.py | import torch
from torch import nn
class FactoredConvolutionalLayer(nn.Sequential):
"""
Factor a k x k convolution into 1 x k and k x 1 inception style
Help reduce memory footprint
"""
def __init__(
self, in_channels, out_channels, kernel_size, stride=1,
padding=0, dilation... |
a0aff08136cd4195d5b7fe2206061aa898f5428a | 0423284b506144f67acb000ad8ba24d54331adf2 | /网民情绪识别/code/result/result_analayse.py | a91d3b268689e6a3b415ee1a287ceef0755302ef | [] | no_license | reroze/nlp | 120e71bd2b17b025fc682f8f723bd4d2b91113e8 | 456f40dba8c8435391ce0dc246185f6da3c40de5 | refs/heads/master | 2023-04-07T02:19:22.482627 | 2021-04-18T05:30:17 | 2021-04-18T05:30:17 | 202,446,765 | 0 | 0 | null | 2023-03-24T22:53:50 | 2019-08-15T00:39:47 | Python | UTF-8 | Python | false | false | 466 | py | result_analayse.py | file = './nb_model_acc/result2.txt'
file_op = open(file, 'r', encoding='utf-8')
result = file_op.read().split('\t')
file_op.close()
print(result)
result = result[:4500]
for i in range(len(result)):
result[i]=int(result[i])
print(result)
print(len(result))
class1=0
class2=0
class3=0
for x in result:
if(x==-1)... |
18bde503b2d2ab10eed9bb6f6cba8eb501eef6ce | a51907115e3ce55e1c080df6cc6854cf5631db38 | /examples/asyncio/wamp/component/frontend.py | 581e892452cc20465fee8543214806406b4deaed | [
"MIT"
] | permissive | opemipoVRB/autobahn-python | b2c821db06b86e20e2f7ecf2559b3a801e8e0bc2 | e0c3ec5ecebad33cf03a03b8bdef09609d16866b | refs/heads/master | 2020-07-11T14:48:57.858143 | 2019-08-21T07:46:45 | 2019-08-21T07:46:45 | 204,573,391 | 1 | 0 | MIT | 2019-08-26T23:37:12 | 2019-08-26T22:37:11 | null | UTF-8 | Python | false | false | 1,551 | py | frontend.py |
from autobahn.asyncio.component import Component, run
from autobahn.wamp.types import RegisterOptions
from autobahn.wamp.exception import ApplicationError
import asyncio
@asyncio.coroutine
def main(reactor, session):
print("Client session={}".format(session))
try:
res = yield from session.register(... |
9e1d67168a71a14dcbf585c3e2470de50e9522c7 | 2ba7550687d0aa6e20e99902794187bba8ca25b6 | /Code/Language_Model/config.py | a3aa70b33aae16240148ee81ee4f8004985deafe | [] | no_license | ddhruvkr/Unsupervised-Style-Transfer | 5ccadfdab86c238cadabfae27092434eea49cbe1 | bb4cf5266f205a7eccab3ff8261bee52aa99e060 | refs/heads/master | 2020-12-27T00:56:25.980793 | 2020-11-24T01:16:07 | 2020-11-24T01:16:07 | 237,711,914 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 570 | py | config.py | model_config = {
'dataset': '../../Data/v2/',
'level': 'sentences',
'MAX_LENGTH': 75,
'embedding_dim': 300,
'tag_dim': 100,
'dep_dim': 100,
'ver':'glove.6B.',
'freq':0,
'hidden_size': 256,
'num_layers': 2,
'dropout':0.2,
'lr': 0.001,
'classifer_class_size': 3,
'mo... |
32d1c1dcc61fc21f37a4271dbfbfa2cd0d22b621 | 3d2ecc82af1cf58c45c0d88ca138688dcb19974c | /Ato.py | 626329640bfff390feab617a5a50610920b36311 | [] | no_license | fernandoantoniodantas/DO2RDF | d1d805254bf8ee02d6a875099c8ede72d7e727a5 | c11489ab8cab47de98063856a320186f629f3f08 | refs/heads/master | 2023-06-20T19:35:30.401286 | 2021-07-27T23:38:45 | 2021-07-27T23:38:45 | 278,911,993 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,106 | py | Ato.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Jan 19 17:32:58 2020
@author: Fernando
@author: Hermann
Classe que implementa os componentes de um ato público.
"""
from Servidor import Servidor
class Ato(Servidor):
# def __init__(self, nome, numero):
# super().__init__(nome)... |
d838a136db2789204d82ecff08f405c40443f4d7 | 53c4324b5693d0a2a153a9dbdf2a9ff0a622482d | /Project_Analysis of Bank customers.py | 2e0652e8a8a751df44aa2d0a688ce0ad6740e9b8 | [] | no_license | HemFanyan/HTI-3-Group-3-Hermine-Fanyan | a349a116846a6421a952ccab12b630bd71406830 | 22990a1bc1e926dc31b9c4bab4f7f2863ee8ef67 | refs/heads/master | 2023-04-17T06:20:41.139265 | 2021-04-21T13:52:57 | 2021-04-21T13:52:57 | 328,388,349 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,234 | py | Project_Analysis of Bank customers.py | #!/usr/bin/env python
# coding: utf-8
# In[292]:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
get_ipython().run_line_magic('matplotlib', 'inline')
import seaborn as sns
# In[293]:
loan_data = pd.read_csv('C:\\Users\\hemfa\\Downloads\\Customers_of_Bank.csv')
# In[294]:
type(loan_data... |
1bd00b29961faf8664fa5059bf3c21a558da2996 | 7f62165eb7984483552491c880aba276420e45e7 | /dataset.py | 424aaef82520824d1c07b7b6744e257b2cb829b9 | [] | no_license | MineKayaa/ConvNet-with-Cifar100-keras.dataset | 2631dcdb11e721e1c469b0ab89b5911e5d8e63d6 | caf34e83aba1392c8edb558edca787b7025d5f3d | refs/heads/master | 2022-10-08T21:18:04.388069 | 2020-06-10T18:00:14 | 2020-06-10T18:00:14 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,017 | py | dataset.py | # -*- coding: utf-8 -*-
"""
Created on Mon Apr 27 14:52:50 2020
@author: Mine Kaya
"""
import matplotlib.pyplot as plt
import numpy as np
import os
from keras.datasets import cifar100
(x_train,y_train),(x_test, y_test)=cifar100.load_data()
os.mkdir('dataset')
os.mkdir('dataset\\train')
os.mkdir('dat... |