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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
68f3d3fce52d08381adc522ee032ef3181aec82a | 5414f5815d0d2ca4705f0a4681a82d91033487c0 | /beerFriends/migrations/0007_auto_20190727_1041.py | 065a3a6b35d07d581042315b54917e8253ae9190 | [] | no_license | thailore/beerFriends | 74afbdc12b74e806d287d91a34f5692d4ef75345 | 15c8c90a25a7f68285d86d178d5283511a134a52 | refs/heads/master | 2020-07-29T12:49:38.220718 | 2019-09-20T14:27:12 | 2019-09-20T14:27:12 | 209,809,376 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 397 | py | 0007_auto_20190727_1041.py | # Generated by Django 2.2.3 on 2019-07-27 10:41
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('beerFriends', '0006_auto_20190726_1504'),
]
operations = [
migrations.AlterField(
model_name='beer',
name='rating',
... |
4775bef3623497e9bbe79ca2d4e9e9da0422c450 | ec8e21fa770e39cc7bee8d66a94e715313402d03 | /start_simulation.py | 47384f6c594477314dd49f31241d3bbedbc50d62 | [] | no_license | hamednoori/PB-ITL | fad638097e164734a00045fba92324ac22c54f02 | 5bf86e0345c49f0f6f1fe9c59e97964f019df532 | refs/heads/master | 2020-03-18T16:44:32.547437 | 2018-11-05T08:29:10 | 2018-11-05T08:29:10 | 134,983,934 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,115 | py | start_simulation.py | #
#
#
# ------------------------------------------------------------------------------------------------------------------------------
#
# This program have been developed by Hamed Noori and with citiation of the related publicaitons
# can be used without permission.
# This program is for a novel architecture f... |
8102bdf4d29d2d3a1bdddbcfb6045b0660693996 | e86f5fefe697721d6d847be364e27153ed8ad636 | /processing/OiePreprocessor.py | 122924cd0baa00c9219cdf826d7910ac4e1c9bf0 | [
"Apache-2.0"
] | permissive | boromir674/relation-autoencoder | beab6df854cf53cc000ef61aa57842272dd5f69a | 7750c16d5c01bb047d82e16d6005b20f3c920576 | refs/heads/master | 2020-06-13T23:02:25.692779 | 2017-06-15T11:47:32 | 2017-06-15T11:47:32 | 75,534,689 | 0 | 0 | null | 2017-03-22T13:28:08 | 2016-12-04T12:00:22 | Python | UTF-8 | Python | false | false | 22,227 | py | OiePreprocessor.py | import os
import time
import argparse
import cPickle as pickle
from definitions import OieFeatures
from definitions.OieExample import OieExample
class FeatureLexicon:
"""
A wrapper around various dictionaries storing the mined data. It holds 5 dictionaries in total. Two of them store
mappings\n
- str ... |
d82412055affc96d634957c953a35ea69b7e702f | 54e0e03147fb614f145a68a94afc0fa506b4ed3f | /RaspberryPi/Relay Extension Board Projects/test_led.py | 190f46e06a50abefca9578c7006b7d430bd7ca11 | [] | no_license | valemichelleee/Portfolio | 5b0e907b1160b91843038723a76e3f1487d1daa4 | f5c0cd642bd69a3f7ece8678b34758a877b33004 | refs/heads/main | 2023-06-21T19:18:30.334457 | 2021-07-15T14:20:47 | 2021-07-15T14:20:47 | 385,492,530 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,227 | py | test_led.py | '''Turning on or off, toggling and checking the status' of a specific relay'''
#!/bin/env python3
from time import sleep
from gpiozero import LED
RELAYS = [
LED(23),
LED(24),
LED(25),
LED(8),
LED(7),
LED(1),
LED(12),
LED(16)
]
def on_action(relay_option, number):
'''To turn on t... |
862b529741d9c3e6cf7ca50272c8af724c56ac62 | 15a1cc4b3097038966c0e70af24a90cc46505858 | /wasserstoff/__init__.py | 08e674a428a8ce1968eceb6541d1077471cb0291 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | py-crash/wasserstoff | 3e1305e21c497e7901020d9f0a6769acb7c5fa4f | b497898ab6f2882cee05bf471039b5609d03e2ba | refs/heads/master | 2021-07-22T03:33:47.492493 | 2017-10-31T02:56:11 | 2017-10-31T02:56:11 | 107,029,330 | 0 | 0 | null | 2017-10-15T16:33:18 | 2017-10-15T16:33:18 | null | UTF-8 | Python | false | false | 93 | py | __init__.py | from wasserstoff.wasserstoff import Config, Environment
__all__ = ['Config', 'Environment']
|
6d25b0fedf0d5081a3a0a93ddacc49748464d9d0 | 7ee4bba7bf74eb62be56cb7dd0eb0d54e1e1583b | /remoteexploits/Malware_Engines/Python_Mirai_Project/Mirai_Python_Project/mirai/bot/checksum.py | bfe19dc13b843fbd8fbbe56816abdd13b4d4d32b | [] | no_license | Buzzkillhardball667/arms.commander | 4be16fcee2502b5cf0f7ac7c3aa5ad1ef6daf604 | 4ff0d6561708ffbcbe1e07ad9d26152f89440d72 | refs/heads/master | 2021-05-01T17:05:33.547504 | 2018-01-19T06:45:44 | 2018-01-19T06:45:44 | 120,993,279 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 579 | py | checksum.py | # Required python libraries for attack.py
import socket
import os
import sys
from termcolor import colored
import StringIO
import time
# need to find Python equivalent libraries for these
import stdio
import stdlib
import unistd
# need to find Python equivalent libraries for these
import includes
import killer
impor... |
e57b30a7a1cf987918abfb3cb7d612bdead2ddcd | 053bbe78bac35ac6ce5037e9827a2859b14dd79f | /airlines/first/models.py | d63d4a5042b54ebc890660e4756bd955352be6a9 | [] | no_license | sanchay007/django-airlinesmanagement-project | 80a32830c2ea5fcdb86da1a6b074c4da8365231b | cd6ef21fe030a24b2d53ea135f06e3fea0882f5a | refs/heads/master | 2020-03-22T19:19:14.083276 | 2018-07-11T04:18:11 | 2018-07-11T04:18:11 | 140,520,468 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 956 | py | models.py | from django.db import models
# Create your models here.
class Airlines(models.Model):
flight_number=models.CharField(max_length=8,unique=True)
airlines_id=models.CharField(max_length=10)
source=models.CharField(max_length=20)
destination=models.CharField(max_length=20)
departure=models.TimeField()
arrival=models... |
2827a56c12c1e15a6fe26ce182aa07d76735d77f | 4b615c2658d018fcc4b224c51e931f4f3a4c8643 | /setup.py | 9531105c0f0f16be5b6ad4be98a8fa454168e15c | [
"MIT"
] | permissive | mdsanima/mdsanima | 3777e4ac0ed44755e1356c2226c0489aadafcd94 | c64207f82ef9f612f9c36497657bd1a240790fbb | refs/heads/master | 2023-05-05T14:37:21.110426 | 2021-05-25T01:13:15 | 2021-05-25T01:13:15 | 302,442,830 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,852 | py | setup.py | '''
MDSANIMA Setup
'''
import sys
import pathlib
from setuptools import setup, find_packages
HERE = pathlib.Path(__file__).parent
CURRENT_PYTHON = sys.version_info[:2]
REQUIRED_PYTHON = (3, 6)
# This check and everything above must remain compatible with Python 2.7.
if CURRENT_PYTHON < REQUIRED_PYTHON:
sys.stde... |
d4ac5c6f08e9baa458fbe0ca7aa90c4d9372844f | c98532338759852d4ac4181f802506b26e5e9a0d | /h5_storage.py | 77cff357f3278c46f7d780b7cc50f732ecb39935 | [] | no_license | pdijksta/WakefieldAnalysis | 0e08b1a8bef054f16f7b7c543da529ec4c2eb336 | 96e68bab74768c6006e9ff5f5cd7ffe27ebc92e6 | refs/heads/master | 2021-12-09T21:06:39.374457 | 2021-12-04T23:54:22 | 2021-12-04T23:54:22 | 250,505,657 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,931 | py | h5_storage.py | import h5py
import numpy as np
#import tracking
dt = h5py.special_dtype(vlen=bytes)
def stringDataset(group, name, data, system=None):
dset = group.create_dataset(name, (1,), dtype=dt, data=data)
if system:
addSystemAttribute(dset, system)
return dset
def addStringAttribute(dset_or_group, name, d... |
4d388c912915c3f1f9e433f1342289f0864b3a11 | 2f9533d2f993b45f44a11fff04a5fda2bd138e82 | /tests/UdpClient.py | 7884654ea02cd01c8965d24f61c89830af600726 | [] | no_license | DavidZemon/CS365_Project | f2c9e99daba1fec6f9e3593181cb23f8fc99be0a | bc283179ce3eebd23b9bd0ef031acd7bcafa3f23 | refs/heads/master | 2021-01-19T05:39:43.120684 | 2013-12-04T20:55:50 | 2013-12-04T20:55:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 543 | py | UdpClient.py | #/usr/bin/python
# File: UdpClient.py
# Author: David Zemon
# Project: Project1
#
# Created with: PyCharm Community Edition
"""
@description:
"""
__author__ = 'david'
import logging
from src.UDP import UDPClient
logging.basicConfig(level="DEBUG")
serverName = '127.0.0.1'
serverPort = 12000
client = UDPClient()... |
80d46aa75e3c7accde07961b7cd927956234c21b | 9acd1c9283aac7c484cc04deda03d61e3aab6f3a | /iridauploader/tests_integration/tests_integration.py | d2dcc3b72f5ec9008b58e719419e25641ecd2da3 | [
"Apache-2.0"
] | permissive | phac-nml/irida-uploader | 45a636bf06d1342b8771315dda0b142b4dd60973 | b42bfc1f0324ace8347154b076e9db3e9284a02e | refs/heads/development | 2023-06-18T00:28:42.654863 | 2023-05-16T14:27:47 | 2023-05-16T14:27:47 | 167,581,091 | 10 | 10 | Apache-2.0 | 2023-06-06T17:04:20 | 2019-01-25T16:51:17 | Python | UTF-8 | Python | false | false | 2,898 | py | tests_integration.py | """
This file is responsible for managing the execution of an IRIDA instance and Test Suites
"""
import unittest
from iridauploader.tests_integration.integration_data_setup import SetupIridaData
from iridauploader.tests_integration.test_api_integration import TestApiIntegration
from iridauploader.tests_integration.tes... |
dc3a85c1ac874b68486994abf0ab05a85bfb7b50 | bcc199a7e71b97af6fbfd916d5a0e537369c04d9 | /leetcode/solved/1961_Maximum_Ice_Cream_Bars/solution.py | aac372881bb3ca889e95954f61cfbee4c0ce7584 | [] | no_license | sungminoh/algorithms | 9c647e82472905a2c4e505c810b622b734d9d20d | 1389a009a02e90e8700a7a00e0b7f797c129cdf4 | refs/heads/master | 2023-05-01T23:12:53.372060 | 2023-04-24T06:34:12 | 2023-04-24T06:34:12 | 87,406,513 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,815 | py | solution.py | #! /usr/bin/env python
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright © 2020 sungminoh <smoh2044@gmail.com>
#
# Distributed under terms of the MIT license.
"""
It is a sweltering summer day, and a boy wants to buy some ice cream bars.
At the store, there are n ice cream bars. You are given an array costs of l... |
a7a9e6d783277dc0063c438b575a2a24f6e4bf60 | c3304d5c4f0532b842358edaf2f950936162ea50 | /zstacklib/zstacklib/utils/drbd.py | c3cf35c93df9b5bccfe9f0c9b411226c2ded5202 | [
"Apache-2.0"
] | permissive | zstackio/zstack-utility | 2380dff882db9c7143730e218d43f852222e2f3e | 765442c7453cf8ae1e723309116bf0d91f4c5e37 | refs/heads/master | 2023-02-28T08:09:00.161568 | 2022-09-27T05:25:03 | 2022-09-27T05:25:03 | 33,421,279 | 57 | 72 | Apache-2.0 | 2023-02-15T15:59:11 | 2015-04-04T21:38:40 | Python | UTF-8 | Python | false | false | 17,830 | py | drbd.py | import os
import platform
import time
from zstacklib.utils import linux
from zstacklib.utils import bash
from zstacklib.utils import lvm
from zstacklib.utils import log
from jinja2 import Template
logger = log.get_logger(__name__)
class RetryException(Exception):
pass
class DrbdRole(object):
Primary = "P... |
09a0d5ea4eb5116b2f1861ec69ff555bd3be8400 | e70b9788020bfe376d8e5d1f735665e61898d873 | /Supervised/Classification/RandomForest_v2.py | 7643e88a8e72f180ddf8a17826fbc78e09627a19 | [] | no_license | jieuhyl/Machine_Learning | a991e0e5339c443f91c2ea713a4acb9afed0a3d8 | cc7da936c8f1c1643392df5c25e8d51865906459 | refs/heads/master | 2023-01-13T20:08:57.294196 | 2020-11-19T06:40:15 | 2020-11-19T06:40:15 | 247,412,685 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,878 | py | RandomForest_v2.py | # -*- coding: utf-8 -*-
"""
Created on Thu May 14 00:46:28 2020
@author: Jie.Hu
"""
# Suppressing warnings because of skopt verbosity
import warnings
warnings.filterwarnings("ignore")
import numpy as np
import pandas as pd
from sklearn.datasets import make_classification
from imblearn.metrics impor... |
30672195a7824b58467606776a2aa49939f4f757 | 8b9695d35adb727cf7c153604a752a7d7be97373 | /Abgaben/HelloWorld/Helloworld_Kilian.py | 65b07704cad5473a82ada243b4115400e6141384 | [] | no_license | Chia-vie/CodeRoemerland | 103dca9028291c7ba9f0be4abbec4c54fe366316 | 099ea5f3adf3eb83f151559a96756dcaa168a9f0 | refs/heads/main | 2023-06-18T18:57:32.582203 | 2021-07-21T15:24:42 | 2021-07-21T15:24:42 | 385,320,194 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 77 | py | Helloworld_Kilian.py | print('Hello World')
# dies ist ein Kommentar welcher nicht ausgeführt wird
|
5043d6e2c0df40b8c6cf7acc8794448b2373de3d | 7ad1fcb65d5252b053d9e8fd0ea9bd83ac7cd528 | /effects/runner.py | faa36cb1a78769bbf73924c75c6307e638e7aee7 | [
"Apache-2.0"
] | permissive | fernandoeng/OmegaLed | 299708581866ddd207f91e59a3862292d7a0973f | b5cc2fb036d283b4ebd975ed6ba0df98bb6b5169 | refs/heads/master | 2022-07-17T21:16:16.367719 | 2020-05-18T20:48:59 | 2020-05-18T20:48:59 | 262,811,677 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,427 | py | runner.py | """Runner Effect"""
from generic import GenericEffect
from models.color import Color
from models.led_strip import LedStrip
class RunnerEffect(GenericEffect):
"""DocString"""
def __init__(self, **kwargs):
"""DocString"""
self.name = "runner"
self.options = {
"speed": "spee... |
f341a07b50b45fa59ae5066846d3ea11a5a48724 | 73336f5337b2efd0228988d3a0f1e365c0c850a2 | /Django/Pandora/Pandora/urls.py | 937ab08f7df2c9e4d3957c639fbd99b0e9ab7657 | [] | no_license | PercySpecter/Tryouts | b32e20162bdda5aaa4affc7400140db1cd75f422 | f9a44a41f3e9d51460b9f1e937ca3cae37282a5b | refs/heads/master | 2020-03-18T17:29:20.256436 | 2018-10-26T05:18:08 | 2018-10-26T05:18:08 | 135,031,833 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 255 | py | urls.py |
from django.contrib import admin
from django.conf.urls import include , url
from . import views
urlpatterns = [
url(r"^$", views.index, name = "index"),
url(r'^admin/', admin.site.urls),
url(r'^movies/', include("movies.urls")),
]
|
191eee544f06fe7e432a857e80302609d627c8b6 | 779ddbb4e117e7be24bfc0fb972617b080e8fe9d | /firstSite/mainApp/views.py | f9f690c98f141d4797d371655f6dee9f39b513a3 | [] | no_license | Serg-sh/MyDJango | 0d0f5a3589e6d1aea9540cf5ff225baea93c932f | e13c5f704e2222f7c918c96a82221f31ed8957b2 | refs/heads/master | 2020-04-30T17:04:37.036409 | 2019-04-04T14:39:40 | 2019-04-04T14:39:40 | 176,967,954 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 282 | py | views.py | from django.shortcuts import render
# Create your views here.
def index(request):
return render(request, 'mainApp/homePage.html')
def contact(request):
return render(request, 'mainApp/basic.html', {'values': ['Номер тел.', '(000)111 22 33', 'mail@mail.mail']})
|
2be24dbe84a66448bdb2c956fac7c52fc7bf5d25 | b04cc98a746d1df457183bc14908094a8be00ba1 | /tests/test_quant_post.py | bba40215b3373769a664b18d98cbef7f7001a358 | [
"Apache-2.0"
] | permissive | PaddlePaddle/PaddleSlim | a3bcaef0c92016b7f6946d58787f87c7db8ff3f8 | bb02b103a89a09635941bc0bbbd38506d7412468 | refs/heads/develop | 2023-08-31T01:47:27.824722 | 2023-08-25T08:06:08 | 2023-08-25T08:06:08 | 228,290,594 | 1,534 | 402 | Apache-2.0 | 2023-08-29T09:37:55 | 2019-12-16T02:56:50 | Python | UTF-8 | Python | false | false | 5,461 | py | test_quant_post.py | # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
d1ae44da49fef9979873275aab17c6ebcb995397 | 0409d28367f993e9d106dd4526e7aa5f48738936 | /Unflow/src/e2eflow/kitti/input.py | f8369484dcfab3504d144a77f6f5bafa14f55b14 | [] | no_license | zhangqiuhao/Unsupervised_flow | 512ce7d543878da0712a663d885a22c8f28e3883 | cf3342b8cd8796014ab3d4b335f83b441683c472 | refs/heads/master | 2021-07-06T00:25:11.407221 | 2020-09-07T07:56:41 | 2020-09-07T07:56:41 | 168,321,461 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,235 | py | input.py | import os
import sys
import numpy as np
import tensorflow as tf
import random
from ..core.input import read_png_image, Input
from ..core.augment import random_crop
class KITTIInput(Input):
def __init__(self, data, batch_size, dims, layers, num_layers, mask_layers, *,
num_threads=1, normalize=Tr... |
6e9f43404c1597642539f2c45861e86041fae915 | ffe7b7243551673c2562cc8d934af59631a9fa07 | /ros/src/tl_detector/tl_detector.py | ba1d463a9652fa8466661606d8ded638182b8562 | [] | no_license | HoijanLai/Node-matter | 00df695523dbb6834dcb8ac249873be9ccc8440e | bf11132552192c745151dc87d0adcfd78acf377c | refs/heads/master | 2021-08-14T20:15:41.692964 | 2017-11-16T17:39:21 | 2017-11-16T17:39:21 | 107,624,626 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,247 | py | tl_detector.py | #!/usr/bin/env python
import rospy
from std_msgs.msg import Int32
from geometry_msgs.msg import PoseStamped, Pose
from styx_msgs.msg import TrafficLightArray, TrafficLight
from styx_msgs.msg import Lane, Waypoint
from sensor_msgs.msg import Image
from cv_bridge import CvBridge
from light_classification.tl_classifier im... |
cbfef3124861c4e1dcb6fa1ac0ffd88a4d84ef55 | 88a1eb9e038fed34617cde04a3b526600fa311b4 | /data_structures/binary-search.py | 0771054066531b33be060bde81294785fa74650f | [
"MIT"
] | permissive | Jian-jobs/leetcode-notes | 7ceacc6eff1b3b56e33fd005c038dd8337ba366b | c7dc3ead0f4fc660d7b59f90eb61ba9721280132 | refs/heads/master | 2020-05-15T01:00:39.825128 | 2019-02-12T16:39:27 | 2019-02-12T16:39:27 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,063 | py | binary-search.py | """
ATTENTION
- 避免溢出，可使用mid = l + (r-l)//2
- 有时候需要考虑item > nums[-1]的情况！！！！！！！
- 更要考虑只有一个item的array时使用if l == r-1作为break条件是有问题的！！！！
- 可以改成 `l>=r-1`
"""
def binarySearch(nums, item, cmp_fn):
"""
Input:
- nums: ordered list
- item: the number to search of
- cmp_fn: compare function
Output:
- the index of... |
e7b4405de04667e4bfac82e07797083ed19c7771 | c1c7d69feec21b429ffd89b3fc95881e28c3fbcc | /BinarySeparation.py | 2addad97038239b3a299b3048b496e7a7744e0bd | [] | no_license | fseiffarth/MaxMarginSeparations | 07ce2c9707d635cd1faa2756d94438ab515ff570 | 6360c0b3fb191d5aea54a9a71e16ffa10eb196ea | refs/heads/master | 2023-01-27T20:53:37.567431 | 2020-12-11T11:46:41 | 2020-12-11T11:46:41 | 273,482,541 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 44,253 | py | BinarySeparation.py | '''
Created on 10.08.2018
@author: florian
'''
import sys
import time
import random
import math
from collections import OrderedDict
from scipy.spatial import ConvexHull
import numpy as np
import matplotlib.pyplot as plt
import tikzplotlib
from Algos import get_points_inside_convex_hull, intersect, get_inside_points,... |
bdce3b748af6cefb9c3f886b3f17d9a2c72b4cb0 | 9deb1edc14deb3d7ccdf046e2ab45e03285ba845 | /processing/goldenRatio/CheckGolden.py | a9b801eeac895695ca7604b401bc5c1cef58cb3a | [] | no_license | amandasongmm/attractiveness_datamining | 58029a2038f24cd6cc6d3108d91b4658d06109d7 | 99dccccc383bf01227fa677715c4ec88023aa41a | refs/heads/master | 2021-01-23T19:36:34.778737 | 2017-01-31T22:47:41 | 2017-01-31T22:47:41 | 49,614,261 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,374 | py | CheckGolden.py | #
# CheckGolden.py
#
# The purpose of this script is to determine the ratios of face positions
# from this video: https://www.youtube.com/watch?v=kKWV-uU_SoI
#
# Built for Python2 in order to work best with machine learning libraries.
#
# Author: Chad Atalla
# Date: 2/3/2016
#
import pandas as pd
import numpy as ... |
2b24138d8320598ad06827a7db35621e04db890e | 904537ded5004eb9d3dcbab9b54232be3f63b3b2 | /leetcode/Other/189_rotateArray.py | d2e6b9c939059447a5999d139fac273d302a7cbb | [
"MIT"
] | permissive | montukv/Coding-problem-solutions | 6fd6554173433808647b2719a13096da5f400f81 | f6eca27151b37955a446747629f2f39ea51536ed | refs/heads/master | 2023-05-14T02:37:15.576951 | 2023-05-11T14:08:17 | 2023-05-11T14:08:17 | 252,090,276 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 681 | py | 189_rotateArray.py | '''189. Rotate Array
Easy
2526
779
Add to List
Share
Given an array, rotate the array to the right by k steps, where k is non-negative.
Follow up:
Try to come up as many solutions as you can, there are at least 3 different ways to solve this problem.
Could you do it in-place with O(1) extra space?
... |
be62b6cf5429053f1ca170fc91eadb766370ffbb | 6c1d651f3b011edffd846bf30fb0de9f2c70cecd | /week03/week_03_05.py | 3e575462c7820349f3468407aa6e29bdc16c50d9 | [] | no_license | photoindra/lessons | fdcd0ef2dcf4487af66a02efbb19a9a9eb3b082e | a5a13f53c288d5cce083da5a696d8b8d2602cabc | refs/heads/master | 2021-01-19T14:05:17.998507 | 2014-09-06T01:14:21 | 2014-09-06T01:14:21 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,511 | py | week_03_05.py | # Задание 3.5.Для работы со всеми перечислимыми объектами Python предлагает функции map и filter. Прочитайте про эти функции и реализуйте сами собственные функции my_map и my_filter, которые работают точно так же как map и filter.
def foo(x):
x *= 2
return x
testList = list(range(1, 14))
print("Original list is:"... |
797d0df6c30b6a426a45157f41c2ab60e1977b37 | b7db2e9fd551dec29b62559de70ac40e13556eb1 | /src/bkp/main_edu_char.py | dfbcd541d41742add279aa5699b8a7b8eb66e391 | [] | no_license | gabuvns/signature-generator-verifier | 38a79055fbc97ecedab4e66c59be4d688804d943 | 4077f4bb23dd547ded31884fc5f73b579f7eb9b8 | refs/heads/main | 2023-04-30T22:37:51.406113 | 2021-05-10T15:19:41 | 2021-05-10T15:19:41 | 362,607,609 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,664 | py | main_edu_char.py | import sys
import random
import libnum # mod
import Crypto
from Crypto.Util.number import *
import base64 # encode/decode
from math import log
import hashlib # hash
if sys.version_info < (3, 6):
import sha3
def bytes_needed(n):
if n == 0:
return 1
return int(log(n, 256)) + 1
initial_primes = ... |
04aaa6369f3f35daeb4a10a71cbafb43f1923cb2 | 32bba10ca6ab550dd22bb0f5c5859f9c557325a2 | /main.py | 4d88b55f14f414469c2b608bc134b5e1ca0dadf2 | [] | no_license | emrizal/MAASurvey | b77014c9203e461a1323cf3f622b825f02801442 | 4725480cb3ed2bec6b8a4a294f7210c63289d88d | refs/heads/master | 2022-11-22T00:48:34.513266 | 2020-07-28T12:20:15 | 2020-07-28T12:20:15 | 282,656,739 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,847 | py | main.py |
from kivy.app import App
from kivy.uix.gridlayout import GridLayout
from kivy.uix.label import Label
from kivy.uix.textinput import TextInput
from kivy.uix.checkbox import CheckBox
from kivy.uix.button import Button
from kivy.uix.widget import Widget
import json
import requests
class MyGrid(GridLayout):
... |
6e4ae8bdd4166a644558d9a299d204d26decd29a | 2716c3c7b36389a9f86226dc316d226687f94807 | /Banahaw_app/BanahawApp/Member01/controller.py | a6b1cfc916ed7329cce5f135bd2ec331c6e7670f | [] | no_license | razenmarling/BanahawProject | 896cfb89c05c4e4f3aa461d3141a5a5be562e08e | 9bfcff5c1c2cd91b8bb0d710496cfd9f7cb3981e | refs/heads/master | 2021-01-01T20:18:47.817804 | 2017-10-06T15:55:30 | 2017-10-06T15:55:30 | 98,808,775 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,249 | py | controller.py | from flask_restful import Resource,reqparse
from .model import Member01_data
class Member01(Resource):
def __init__(self):
self.__reqparser = reqparse.RequestParser()
self.__args = dict()
def get(self, char=None):
retval = dict()
status = 200
args_list = [('member00id',str,'args',None,False... |
d5061f3354a6da6bc16302c61279da5da651b9b2 | 70ebabdcebe28a0278a37a3cb1fd1d3aba48f285 | /src/Springer and Taylor and Francis/scrape_journals.py | dfd785f7fa461390b43a26590b11ecbd923eb2bd | [] | no_license | aaronnorrish/CITS3200_Project | 90091e3b6e99f892fd4ee1c9a159e69ec0fdab9d | 4c7cead0c28fa42a7ae2e02b57960df01453f50b | refs/heads/master | 2020-03-26T08:08:07.114834 | 2018-10-22T14:28:38 | 2018-10-22T14:28:38 | 144,687,310 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,525 | py | scrape_journals.py | from journal_frequency import *
from taylor_and_francis import *
from springer import *
from helper_functions import *
from os.path import isfile
from sys import argv
# Main program which first tries to obtain the journal publishing frequencies as
# listed on the Clarivate website, then obtains the instructions for au... |
1373b569012aca3fd0bba75d7810e1260893ab13 | bc34d476ff61fbfbeb3516ca9bfc15ed1083c8ff | /telegerrit/gerrit/listener.py | d00e79a6be1111fae33efc422129b09b0384510e | [] | no_license | inhumanitas/telegerrit | 58d5f3cc4f7ec2cdc359abdb018be8d5bfbc8ce6 | 600de02399f089962e80f74c1dd20617b44b6ff8 | refs/heads/master | 2020-05-21T14:52:56.153145 | 2016-10-22T18:56:59 | 2016-10-22T18:56:59 | 64,246,612 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 4,109 | py | listener.py | import logging
import sys
from time import sleep
from pygerrit.client import GerritClient
from pygerrit.error import GerritError
from pygerrit.events import (
CommentAddedEvent, PatchsetCreatedEvent, ChangeMergedEvent)
from telegerrit.gerrit.models import UserMap, CommentsWriter
from telegerrit.settings import ss... |
31336e9eb226df19840e74c14071973a91196866 | 2b7c4e2ba544b93c4b3997c92e10cfac13fc55bb | /geometricDataLoader.py | 712c3be5215bfae36a641fd3d24381b960e50871 | [] | no_license | orionnight/Graph-Neural-Network | 4b2334482f7593a0617fc5b1e622f3b493b7c1b4 | c1185e7dad8f9a9a2466c1486f1856045b742174 | refs/heads/master | 2022-02-19T18:18:15.755413 | 2019-08-08T23:25:15 | 2019-08-08T23:25:15 | 201,281,335 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,915 | py | geometricDataLoader.py | #!/usr/env/bin python3.6
import os
from random import random
from torch.utils.data import Dataset
from torch_geometric.data import Data
import pdb
import torch
# Ignore warnings
# import warnings
# warnings.filterwarnings("ignore")
def make_dataset(root, mode):
assert mode in ['train', 'val', 'test']
items =... |
fd6296775b9ebc05dc55f47fe8e8c6d60df7b459 | d4815437d99dabb0ba8bd5bf4a26bb3f91adae7e | /accounts/models.py | 3f60149d6b7b5ab62518129b69603b635329d7bb | [] | no_license | tushhr/Jagrati | 68529a720834e16312738d8e92b831264f57ed9a | ee062a577cc31e8c8697bdd611aec56e3a011fdf | refs/heads/master | 2023-06-17T08:18:06.995375 | 2021-07-21T06:22:57 | 2021-07-21T06:22:57 | 318,965,297 | 0 | 1 | null | 2021-07-21T04:07:33 | 2020-12-06T06:13:31 | HTML | UTF-8 | Python | false | false | 1,798 | py | models.py | from django.db import models
from django.contrib.auth.models import User
from django.conf import settings
from django.db.models.signals import post_save
from django.dispatch import receiver
from rest_framework.authtoken.models import Token
from imagekit.models import ProcessedImageField
from imagekit.processors import... |
1db2d2ea404dffe5af37481d47a499a26b3ac5ac | 455a3e302d47a70de0e2ba6d160596223f38fa46 | /settings.py | bf29fc103454cd1abe6cce6c0eb1835517f2a34a | [] | no_license | xuongtrantrieu/backend_mongo | 9194f0e86e4f3717dd473c5e1d4f03ba7c0bd044 | 7299372e97e8f3b5a5b0d55312a3990a27db5d98 | refs/heads/master | 2020-06-06T09:07:00.528987 | 2019-07-02T10:19:23 | 2019-07-02T10:26:52 | 192,696,908 | 0 | 0 | null | 2019-07-03T09:31:23 | 2019-06-19T09:00:42 | Python | UTF-8 | Python | false | false | 2,801 | py | settings.py | from flask import Flask
from dotenv import load_dotenv
from os import getenv, getcwd as get_current_directory
from os.path import join as join_path
from flask_pymongo import PyMongo
from flask_jwt_extended import JWTManager
from datetime import timedelta
from logging import handlers
import logging
load_dotenv()
SECRE... |
cd65f286721944a741d5f697609a1a213c17de26 | ef86e52d77c0d76f69eeca7132c1019add8dfaa8 | /LDDImport.pyp | 7bc2082b84ed08dc1ef6019ee65fc939d7c361c7 | [
"MIT"
] | permissive | gemvfx/LDDImport | 845cff1b2f2a7814abb25cd49f88caaa70dc8bea | 07179ce7feb474a78df46e204a9d7589fd140811 | refs/heads/master | 2016-09-06T14:07:36.211323 | 2015-05-25T19:06:07 | 2015-05-25T19:06:07 | 35,781,817 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 821 | pyp | LDDImport.pyp | """
Lego Digital Designer C4D Importer
Copyright: Gerhard Messer
Written for CINEMA 4D R16+
Version History
0.1 - 2015-05-18 - initial plugin
"""
import c4d
from c4d import gui, plugins, utils, bitmaps, storage
import os, sys
#1033677 LDDImport -- registered 25.09.2014
PLUGIN_ID = 1033677
class Olddimporter(... |
16da508f62ddb353409ef723a4e6a6a3360ae592 | f6dc21cf7eae399e4cc5c5e1124c45eaaa55eaf5 | /2-First LAB/L01M1.py | ddd39c9d8b0728e8837162658ac7dee1e3d42566 | [] | no_license | Shayennn/ComPro-HW | 23a49a843cd1790d58800b2625583c0784e91258 | 6303dd0023ac830deb2f4b457e0c2eebe053916a | refs/heads/master | 2021-08-04T16:58:48.463867 | 2018-11-22T09:31:06 | 2018-11-22T09:31:06 | 143,449,084 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 279 | py | L01M1.py | # -*- coding: utf-8 -*-
#std25: Phitchawat Lukkanathiti 6110503371
#date: 09AUG2018
#program: L01M1.py
#description: hello name and lastname
name = input("What is your name? ")
lastname = input("What is your lastname? ")
print("Hello",name,lastname)
print("Welcome to Python!")
|
5f84ed0606f527bfa7859b02875a104c999d8f82 | 2dc952c439dfa0fe1ae6b48f8af6f5fd3aaed9fd | /azine/azine_main/models.py | b92dcb9446ca6fc08b2d8ac22b80823a6fff1e10 | [] | no_license | dubacher/azine | ffdca0606e9fe5ce46c4d3cf1f30b06287543ccf | d4904c4d340443661e6f9abd425edaebbd6445f2 | refs/heads/master | 2020-12-24T13:43:53.935718 | 2011-02-28T22:09:22 | 2011-02-28T22:09:22 | 579,693 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,225 | py | models.py | # coding=utf-8
from django.db import models
from django.contrib.auth.models import User
from django.utils.translation import ugettext_lazy as _, ugettext
from django.core.validators import RegexValidator
from user_profiles.models import UserProfileBase
from random_id import random_id
from mptt.models import MPTTModel
i... |
3f7edc2ebde9c927506afb928870b4abd586ca08 | 9a7558dd050bb1015ae0cf0528bbcc221754c0fd | /AMOS31.py | f9da67aaea36ef3910248f088cb3ba48d0e354ba | [] | no_license | jobaamos/gap-year-club-code | 14ea6665283c3a46f78fe18ffcbc479e90e0f77d | 0934ed81c71216bc32ef83acdd8ad9762dce8488 | refs/heads/master | 2020-08-26T15:50:08.075386 | 2019-11-27T11:09:39 | 2019-11-27T11:09:39 | 217,061,712 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 100 | py | AMOS31.py | #python program to print a str with a loop
a=('amos')
for i in range(20):
print('joba '+ a)
|
c2849e99fa5c6e8627c26f67062642fc6eb9f441 | dd007e0e00a8d83e93a355165b4bafde6e888e5b | /documents/app.py | 02b2d7a1a9b6da77493f40a6c50f51454ca398f4 | [] | no_license | PopckovS/telegram_bot | b50be281dbda28416ac38e50020d483a9b9e7744 | 84bef68d76252e7996f4ba56f5399eca516f57c1 | refs/heads/master | 2023-02-06T23:46:26.038396 | 2020-12-29T18:01:28 | 2020-12-29T18:01:28 | 270,351,723 | 6 | 1 | null | 2020-06-11T21:48:49 | 2020-06-07T15:40:41 | Python | UTF-8 | Python | false | false | 227 | py | app.py | import telebot
import config
# Создаем экземпляр класса для работы с библиотекой pyTelegramBotAPI, и передаем ему API токена.
bot = telebot.TeleBot(config.API_KEY)
|
13308fcee33c285c17837d24fcaaebb133051c92 | 5fcfc8c4fb8d157d5c41e99a9592e9b2240c7cfc | /26_50/26.py | c4bc19492e7799a4b95971aea9fcf30e69790680 | [] | no_license | mygit20031984/py100exercises | 7fe7dbc49a6d3511d0a713f7d74a3aa59c35d0d1 | 5b29f1a7aadb25dc4b3824dd55841f0793ecc8f8 | refs/heads/master | 2022-08-01T03:01:55.952644 | 2020-05-23T14:31:21 | 2020-05-23T14:31:21 | 259,541,157 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 45 | py | 26.py | lst = range(1,11)
for e in lst:
print(e) |
e47808ad02c07e8ae9c4fc7d5a0dc840c4681bad | 2a8abd5d6acdc260aff3639bce35ca1e688869e9 | /telestream_cloud_notifications_sdk/telestream_cloud_notifications/models/__init__.py | afc3282d92eeeead0f5296548c9bdd8088b108dc | [
"MIT"
] | permissive | Telestream/telestream-cloud-python-sdk | 57dd2f0422c83531e213f48d87bc0c71f58b5872 | ce0ad503299661a0f622661359367173c06889fc | refs/heads/master | 2021-01-18T02:17:44.258254 | 2020-04-09T11:36:07 | 2020-04-09T11:36:07 | 49,494,916 | 0 | 0 | MIT | 2018-01-22T10:07:49 | 2016-01-12T11:10:56 | Python | UTF-8 | Python | false | false | 660 | py | __init__.py | # coding: utf-8
# flake8: noqa
"""
Notifications API
Notifications # noqa: E501
The version of the OpenAPI document: 2.1.0
Contact: cloudsupport@telestream.net
Generated by: https://openapi-generator.tech
"""
from __future__ import absolute_import
# import models into model package
from teles... |
a1b381370f5c74e9b03c279cc5bcfd6e71226be4 | 359e768df0aa85a7fc8a119d1a304d93f2e04452 | /seiichi/tutorial01/test-unigram.py | 6bf3d1c377f6fba2948345348f4b0c7c6ec8e14d | [] | no_license | tmu-nlp/NLPtutorial2020 | 5694650d365b836ceefc822a4ee33fae8ec7d72b | 51c84c7a7280b62fa11c5893987eeba7d7fad3d6 | refs/heads/master | 2021-05-19T11:40:05.325180 | 2020-08-12T04:55:41 | 2020-08-12T04:55:41 | 251,679,127 | 0 | 1 | null | 2020-08-12T04:55:00 | 2020-03-31T17:26:14 | Python | UTF-8 | Python | false | false | 579 | py | test-unigram.py | import os, sys
import math
import pickle
import numpy as np
if not os.path.exists("./model"): os.mkdir("./model")
from unigram import UnigramModel
if __name__ == "__main__":
# train_path = sys.argv[1]
# train_path = "../../test/01-train-input.txt"
# test_path = "../../test/01-test-input.txt"
# train_... |
02c66e904a4853237592603c734c77064600491a | 7623e3fff683783eda4a674693158788d40d4f45 | /btot.py | 143e9cc6d0b88f47334923bd9890c6b5661bb954 | [
"MIT"
] | permissive | Indra2009/Google-cloud-dataflow | 70387e4974915a4fb9a4a3cddc8227868c0647fb | b7aa2db087081a12adc06c55268012160ed4d46c | refs/heads/master | 2021-04-03T08:35:10.712253 | 2018-03-14T18:01:58 | 2018-03-14T18:01:58 | 125,025,615 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,382 | py | btot.py | from __future__ import absolute_import
import argparse
import logging
import re
import apache_beam as beam
from apache_beam.io import ReadFromText
from apache_beam.io import WriteToText
from apache_beam.options.pipeline_options import PipelineOptions
from apache_beam.options.pipeline_options import SetupOpt... |
fea8656bd6c26c64af9f5b395f8c81cbef952fb7 | 274d099df5e08c56de00fe7fade47854a056ab4c | /CI/src/integration_tests/test_command_rmi.py | f7f6e51caa7e5b6341d10ace32f575aaf21d9ffb | [
"BSD-3-Clause"
] | permissive | eth-cscs/sarus | 95e36bf21c77f2bb822ea0a97dfd7d64a71f6971 | 9c01d76736940feb360175c515e5778e408e631e | refs/heads/master | 2023-08-31T02:33:19.008492 | 2023-05-05T12:09:57 | 2023-05-05T12:09:57 | 160,826,280 | 116 | 11 | BSD-3-Clause | 2023-03-01T13:11:28 | 2018-12-07T13:19:07 | C++ | UTF-8 | Python | false | false | 2,171 | py | test_command_rmi.py | # Sarus
#
# Copyright (c) 2018-2023, ETH Zurich. All rights reserved.
#
# Please, refer to the LICENSE file in the root directory.
# SPDX-License-Identifier: BSD-3-Clause
import unittest
import common.util as util
class TestCommandRmi(unittest.TestCase):
"""
These tests verify that the images are correctly ... |
1ca212c14a0cd5df3cfc28d0d17881ef0da74be5 | b3fa799fdcd2ae54eaa242cc4f8d641996aef62d | /followgic/mensajes/migrations/0004_auto_20210205_1858.py | bda453879519f454a5ff1ff122881af63fdc5425 | [] | no_license | Followgic/Followgic-Back | 1519d5bae84a0eb594626d61f3cff359c7e7dc40 | 6140ec3607021a7ef5cae60cc67503aa7ef5c7ed | refs/heads/main | 2023-05-30T20:28:48.732451 | 2021-06-17T19:36:09 | 2021-06-17T19:36:09 | 314,599,979 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 553 | py | 0004_auto_20210205_1858.py | # Generated by Django 3.1.3 on 2021-02-05 17:58
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('mensajes', '0003_auto_20210131_1323'),
]
operations = [
migrations.AlterModelOptions(
name='mensaje',
options={'orde... |
b019109fe7dea0cf682e7f5342753144faea43fc | 7cf547c662c5cf19938c1684eb8f2f641a0e5aa8 | /SeriesDownloaderLinux/pb.py~ | 848e500ac6315f3596c8ea4a5a9bd1548cf98e06 | [
"MIT"
] | permissive | melvin0008/SeriesDownloaderLinux | 1d99e4bd599024e5d13a0ed4e2ccabdefaad7181 | 2245c947834ccedee8e7737312332150c3816716 | refs/heads/master | 2020-05-18T17:19:01.427423 | 2014-11-15T13:18:46 | 2014-11-15T13:18:46 | 19,524,344 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 10,475 | pb.py~ |
# -*- coding: utf-8 -*-
from Tkinter import *
import tkMessageBox
from tpb import TPB
from tpb import CATEGORIES, ORDERS
import webbrowser
import urllib
import json
import datetime
top = Tk()
top.geometry("700x700+30+30")
top.title('Series Downloader')
top['bg']="#D3D8E8"
seasonno=0
class season:
... | |
0f19c6d594b3f5be9a000913b90d3738e07e335b | 3916f78a6885b998ca57b3ed2950cfeda970f673 | /statistical-learning-for-scientific-data-processing/unsupervised-learning/independent-component-analysis.py | b0c8f9c3f8eafed6f6d796630d5f4269ad3bfd0b | [
"BSD-3-Clause"
] | permissive | samcervantes/scikit-learn-tutorials | 9a85a91139d26bd99e7bf68fbf23739097a1bf0e | a528ceb50de382ef791c15e231e69f4708706e94 | refs/heads/master | 2021-07-06T09:52:03.082869 | 2017-09-29T17:19:22 | 2017-09-29T17:19:22 | 103,851,381 | 0 | 0 | null | 2017-09-27T21:23:23 | 2017-09-17T18:18:46 | Python | UTF-8 | Python | false | false | 779 | py | independent-component-analysis.py | # Generate sample data
import numpy as np
from scipy import signal
from sklearn import decomposition
time = np.linspace(0, 10, 2000)
s1 = np.sin(2 * time) # Signal 1: sinusoidal signal
s2 = np.sign(np.sin(3 * time)) # Signal 2: squre signal
s3 = signal.sawtooth(2 * np.pi * time) # Signal3: saw tooth signal
S = np.c_[... |
f515d7c73d306085991f79f8e4bc8538cca791a4 | 716092565856b9f00530d8367962f3b032bade89 | /core/SpiderRetCode.py | d6c3bd1ced5923a8b1fe9db30d89fe7e102638ba | [] | no_license | huangpd/formalAccount | f19d4b819e5f0b7f5d5466e2324775d788fe03e6 | 939374d372c9f415b524a5c0327836c77d8ac3d7 | refs/heads/master | 2023-08-30T04:42:30.995792 | 2021-10-29T01:03:24 | 2021-10-29T01:03:24 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 975 | py | SpiderRetCode.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time: 7/12/21 4:54 PM
# @Author: kevin
# @File: FBInfoDef.py
# @Software: PyCharm
from enum import Enum
# 浏览器状态
class BrowserState(Enum):
"""Browser state code."""
TYPE_ONLINE = 0 # 账号在线
TYPE_OFFLINE = 1 # 账号离线
TYPE_INVALID = 2 # 账号无效
TYP... |
e8d76cfbedd6fa8c2415e47bf0672bf72888eb3a | 2d48a9dddcb625f1f9ceeb49fa81b82f411ce58c | /module/dream2015/code-with-inputdata/pydream2015/model/ch1a_mxdrg_post/test_match_user.py | c98691d2dfe28486493908c1cf6eacdcb9840dfb | [] | no_license | jehoons/sbie_weinberg | 3e629509fb77e624f620786a8e323bfb1216b0c4 | af543867f4429be4ffc797dd390de443d0febec9 | refs/heads/master | 2020-11-29T14:52:17.316745 | 2018-01-09T03:40:24 | 2018-01-09T03:40:24 | 67,468,035 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,191 | py | test_match_user.py | # -*- coding: utf-8 -*-
#!/usr/bin/python
#*************************************************************************
# Author: Je-Hoon Song, <song.je-hoon@kaist.ac.kr>
#
# This file is part of Pydream2015.
#*************************************************************************
import os, sys, cPickle as pickle, re... |
6c6fda1a2ba313af71349772699602c863477dbb | 3ede36028c5cdce88fb010ffd0d8c6e1bb551628 | /Section_10/10_7 Using Linters/my_bad_script.py | e7277aaa0c8d2e9f3fc8dccdca34c7fe05cd0b89 | [
"MIT"
] | permissive | PacktPublishing/Software-Engineering-with-Python-3.x | 6baa85ec673fc2e826e195969929523811b0f439 | 056e4c89e4f8d7fc4a4095ee0671d6944a86630e | refs/heads/master | 2022-07-15T04:43:02.702704 | 2021-01-21T08:54:54 | 2021-01-21T08:54:54 | 237,384,674 | 2 | 2 | MIT | 2022-06-22T01:23:19 | 2020-01-31T07:56:26 | Jupyter Notebook | UTF-8 | Python | false | false | 211 | py | my_bad_script.py | def Some_func(arg1, arg2,
arg3, arg4):
return sum([arg1, arg2]) - arg3 * arg4
class some_class:
pass
some_CONST = 10
my_complex_some = Some_func(10, 20, 30, 40)
print(my_complex_some * some_CONST)
|
143aa97ffd86ea9760eb5f2729499fcc883bf95d | deb7ebee7bc933505d28f57efd67ea47f99ec670 | /test.py | a3ce13579227be8c2c40f0e43e0d3a55e0732255 | [] | no_license | khayashi04/tlib | 8eca98785b8586455e88dac3e54d9bc9ce22a765 | c7f6a953ee880650bfd8f97fa3030c41636aedfc | refs/heads/master | 2023-04-27T12:50:57.958066 | 2023-04-21T07:47:18 | 2023-04-21T07:47:18 | 196,106,184 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 349 | py | test.py | from StatLi import StatLi
li1 = [19,765,76,3,456,7,75,5,465,4,754,754,6,2,523,3,543]
li2 = [19,765,76,3,456,4,75,5,465,4,754,754,6,2,523,3,543]
a = 1234
b = 5678
data1 = StatLi(li1, li2)
data2 = StatLi(a, b)
data3 = StatLi("いいよこいよいくいく", "いいくにつくろうかまくらばくふ")
print(data2.collatz())
print(data2.monte()) |
01b9796f22e72fd546d024c06542abe54b769f08 | 656518890a5cf6d7c662d16872ba508124b00de8 | /lianjia/pipelines.py | 9769a2020664bc475ae46b21cf7311a47977358f | [] | no_license | livan123/lianjia_sell_second | 824a6fc3c30ee31162545f6cb774f6f57d5d3835 | e383a9759e3e661ee7d9f526e2382cb7a25e087c | refs/heads/master | 2021-01-25T13:25:12.340353 | 2018-03-02T11:38:00 | 2018-03-02T11:38:00 | 123,571,784 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 907 | py | pipelines.py | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html
import csv
class LianjiaPipeline(object):
def __init__(self):
self.csvwriter = csv.writer(open('lianjia_houses.csv',... |
bc5ec38ebc9ba3cd097edb5fa1fea1aaad44a55d | 65c55292fd3237d6fba247068c5d51c11ef2bcdb | /leet code/Stack/1614. Maximum Nesting Depth of the Parentheses.py | 79dfd57a4f413e93aa8352b475983283b2368504 | [] | no_license | omertasgithub/data-structures-and-algorithms | b9275347b3f8e931f064302a29dd3c52aa420a10 | 50365187d2913a0fcffebc889b47f12614a86a47 | refs/heads/main | 2023-07-14T21:40:28.246982 | 2021-08-28T15:27:26 | 2021-08-28T15:27:26 | 350,371,430 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 755 | py | 1614. Maximum Nesting Depth of the Parentheses.py | #1614. Maximum Nesting Depth of the Parentheses
#related topics
#stack
s = "(1+(2*3)+((8)/4))+1"
s = "(1)+((2))+(((3)))"
#s = "1+(2*3)/(2-1)"
s = "1"
def maxDepth(self, s):
"""
:type s: str
:rtype: int
"""
r = 0
t=0
for i in s:
if i == "(":
r+=1
t = max(... |
27317cfbca69d1e9746fa2547ec2de56b38a74c2 | eacd10ce4474cbb70ff0c7d1448dab76bcfa9dc7 | /scripts/databases/pythonMysql.py | 9d7d084c582d481211c7e9cfd9a02e8617131955 | [] | no_license | andre-aion/various_foods_on_a_blanket | d4ab92e0aa9692b44240aff63bc6973a12158e38 | 21caf4a4f9f8e2e0c0fb3fc36b375e30f249f5d5 | refs/heads/master | 2020-07-24T11:39:46.068245 | 2019-10-11T17:42:26 | 2019-10-11T17:42:26 | 207,910,970 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,561 | py | pythonMysql.py | import datetime
from tornado.gen import coroutine
from scripts.utils.mylogger import mylogger
from concurrent.futures import ThreadPoolExecutor
from clickhouse_driver import Client as Clickhouse_Client
import pandas as pd
import dask as dd
import numpy as np
from datetime import datetime
import sqlalchemy as sa
impo... |
a8d9c41ade442aa65045fc9ffc7bdbf6ecf77f15 | 34e0a3d374a6c900a3af2b2838efaabd62c5e2dd | /tumblrtokens/__init__.py | 79fd23714dc77eaf3d63487a9e2d29033381eb4b | [
"MIT"
] | permissive | mkell43/tumblrtokens | 8fa7cecabc422d4c7aef84e9536cf9fc2a1af064 | d754f027363538c2ef272db61f485efbefbb301b | refs/heads/master | 2021-01-19T11:02:45.225988 | 2014-04-24T01:05:15 | 2014-04-24T01:05:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,239 | py | __init__.py | import oauth2
import urlparse
def consumer(consumer_key, consumer_secret):
"""
Creates a new consumer for authentication with Tumblr.
"""
return oauth2.Consumer(consumer_key, consumer_secret)
def request_token(consumer):
"""
Creates a new request token for gaining credentials to a... |
79b52b1d0f1530fd24888bba2ffe0fd79153838d | 62918c4b26483cbe61e904ab7d53c17316e4b57e | /blog/models.py | a7fe952c1328d39cbbbbbe59dcc3bc13be8d2779 | [] | no_license | tmoynandy/django-blog | e036dac05e91ffc8dcb3bdbfc96771746a364c28 | c4a59239402d4f82d92a18400ce527282f016bce | refs/heads/master | 2020-05-18T01:04:14.499314 | 2019-05-01T23:02:52 | 2019-05-01T23:02:52 | 184,079,572 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 903 | py | models.py | from django.db import models
from django.utils import timezone
##user is imported from the already created user model that shows in admin
from django.contrib.auth.models import User
#for getting url of a post as a string
from django.urls import reverse
# Create your models here.
#each class will be a table in the db
#... |
0e8a8864e1f782b3d1d8b4347f182717ab19264b | cd793c211d3bcfec02471b7d7b6ee854cdb38b6e | /uvc/layout/slots/menus.py | 04a06a7e0f869737eb4fb40f7eff180b1e199f1c | [] | no_license | novareto/uvc.layout_old | 9f9770568692535f1574d80aba254d014ed98651 | 599441c402434c799ed4455fd3fcd4cad9ddf40b | refs/heads/master | 2020-04-15T01:04:38.678353 | 2015-10-07T08:16:13 | 2015-10-07T08:16:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 863 | py | menus.py | # -*- coding: utf-8 -*-
# Copyright (c) 2007-2011 NovaReto GmbH
# cklinger@novareto.de
import grokcore.component as grok
from uvc.layout.interfaces import *
from uvc.layout.slots.components import Menu
from zope.interface import Interface
class GlobalMenu(Menu):
grok.implements(IGlobalMenu)
grok.name('globa... |
50fda88df3ed86cbcaf54f946d35d42c47518cd0 | 076a83619e03fc9f9123b3f02f51aadbc4715669 | /server/api.py | 0ce1e974a461688c7a6f94a9e93b911d1cb06bfd | [] | no_license | lphk92/JapaneseVocabExtension | 802ef5e99a0a1b3f3ed72c73664cb60e9ff328c1 | da1536d00e521e71470612ee131f197333770f93 | refs/heads/master | 2020-03-31T03:00:54.572771 | 2017-07-15T21:49:54 | 2017-07-15T21:49:54 | 6,542,618 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,979 | py | api.py | import codecs
import json
import os
import re
#from crossdomain import crossdomain
from server import app
def natural_key(string_):
"""See http://www.codinghorror.com/blog/archives/001018.html"""
return [int(s) if s.isdigit() else s for s in re.split(r'(\d+)', string_)]
list_dir = "./server/lists"
lists = ... |
fa92648c007260e5d6913b7ec995d2e7718c2815 | 2a2f867c4e034498ec1eadee9407fc0e77ba6a17 | /azure_api.py | a238503708a7870b5122e680294175af7baca571 | [] | no_license | vladbataev/fashinder | 873f064a019b46090ecfb44d0aac841470337f8e | 1c9c9e9a5bd210b19149d549418dbe075aea3944 | refs/heads/master | 2021-04-12T10:05:02.441200 | 2018-03-25T08:00:34 | 2018-03-25T08:00:34 | 126,652,298 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,019 | py | azure_api.py | import requests
import codecs
from IPython.display import HTML
face_key = 'f0c8fa92e85040138b4bad7e01767aa0'
headers = {
#'Content-Type': 'application/json',
'Content-Type': 'application/octet-stream',
'Ocp-Apim-Subscription-Key': face_key
}
params = {
'returnFaceId': 'true',
'returnFaceLandmark... |
9bb9a649f82765ccc98fd1d5115a90b9a96719a9 | d2e80a7f2d93e9a38f37e70e12ff564986e76ede | /Python-cookbook-2nd/cb2_13/cb2_13_16_sol_1.py | 7f3247e3b6797d1fe524a068e725324f58d82b2c | [] | no_license | mahavivo/Python | ceff3d173948df241b4a1de5249fd1c82637a765 | 42d2ade2d47917ece0759ad83153baba1119cfa1 | refs/heads/master | 2020-05-21T10:01:31.076383 | 2018-02-04T13:35:07 | 2018-02-04T13:35:07 | 54,322,949 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 592 | py | cb2_13_16_sol_1.py | from twisted.internet import reactor, protocol
from twisted.protocols import irc
class LoggingIRCClient(irc.IRCClient):
logfile = file('/tmp/msg.txt', 'a+')
nickname = 'logging_bot'
def signedOn(self):
self.join('#test_py')
def privmsg(self, user, channel, message):
self.logfile.write(us... |
cd5945631a9dd505bf67089bab8c5a37ad375129 | be544d136e944694776ba94fa57a48a8a8cc3358 | /DataAfterprocessing/concatdf.py | 4957221cb24a4596c798ce2ad27f5c605965b6aa | [] | no_license | meongeun/MeshGeo | 6dda3c16057457e697379e33f24c270f4b282ae6 | 31fa1c65dbcae6088a5275ee953097e6cd0e422b | refs/heads/master | 2022-04-07T07:16:09.039297 | 2020-02-16T13:47:42 | 2020-02-16T13:47:42 | 239,677,886 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 224 | py | concatdf.py | import pandas as pd
df1 = pd.read_csv("../final/your_no.tsv", '\t')
df2 = pd.read_csv("../../Downloads/me.csv", '\t')
final = pd.concat([df1, df2])
final.to_csv('../../Downloads/final_con_final.tsv', sep='\t', index=False)
|
16b425d7b8cde1aabe038ccae6922091afb84415 | 39f64fba0ca95de79dccd962a36a5996dede530f | /원내약품사용량월별통계.py | c5e3a3df4953098ac61a66af9eeb34e63d4ca319 | [] | no_license | zwolf21/MonthlyUseAmountInHos | b9b4074551a40f8bc588615adce9ec45ee28bc35 | 8d884a3e10fd119614e838d629c69bd7564c4cea | refs/heads/master | 2021-01-19T19:10:11.984744 | 2017-06-07T03:42:39 | 2017-06-07T03:42:39 | 88,402,446 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,169 | py | 원내약품사용량월별통계.py |
# coding: utf-8
# In[1]:
import matplotlib.pyplot as plt
import matplotlib
import pandas as pd
import numpy as np
from pandas import DataFrame, Series
import os, re
# In[2]:
OUTPUT_EXCEL = '월별원내약품사용현황.xlsx'
# In[3]:
# 데이타셋 준비
data_source_dir = '사용량월별통계/원내'
dfs = []
for fname in os.listdir(data_source_dir):
... |
0eaaa81d3c8bc61368701e1916b42ede88b90d04 | 86bb09bd43e65c261d0d6fa1091316cdbdb434cd | /C12_Introduction_to_Data_Visualization_with_Python/Ch3_Ex12_Plotting_distributions_pairwise_2.py | 7f7db54642765389c88b573736eb1f3dd2cd8687 | [] | no_license | jsolano28/Data_Scientist_with_Python_Career_Track | d6d59b20847c9a7e288dd21e0276294c65f49e28 | 001b6474ef3b50c81db7f1d73ca200dac97947fc | refs/heads/master | 2023-04-12T20:00:19.906006 | 2019-02-06T09:53:21 | 2019-02-06T09:53:21 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 978 | py | Ch3_Ex12_Plotting_distributions_pairwise_2.py | # EXERCISE:
# Plotting distributions pairwise (2)
# In this exercise, you will generate pairwise joint distributions again. This time, you will make two particular
# additions:
# - You will display regressions as well as scatter plots in the off-diagonal subplots. You will do this with the
# argument kind='reg' (whe... |
27e9635adf6109f3ab13b9d8dd5809973b61ca03 | fd5cd3ebf7bfeacd031c515f9ebe698bc1569d78 | /Web Scraping Ex.py | f8284d00c3aee31e7a24288356849e9701f7dce1 | [] | no_license | justicesithole/webscrapping1 | 5cc2ea5c75eacd254f779dcc0f94aad2e6ee89f0 | 8587302fe110f1a37189be9060d2a49c0ec15ec6 | refs/heads/main | 2023-06-01T12:44:11.322766 | 2021-06-15T09:10:10 | 2021-06-15T09:10:10 | 377,101,984 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 614 | py | Web Scraping Ex.py | #Web Scraping
#Make sure you have bs4, webbrowser and request installed as your third party modules
import bs4, webbrowser, requests
try:
data = requests.get("http://en.wikipedia.org/wiki/Python")
data.raise_for_status()
my_data = bs4.BeautifulSoup(data.text, "lxml")
print("List o... |
f5f26819be4b98fab3d46e57e1a5431e54342aed | 2b64390d27030c2844d559ad5f19b754fbc2cbd8 | /EmoClassifier.py | 540b45efb17f0a05829353807ae7169eec54a079 | [] | no_license | vsquared10/Emo2Vec | a918732938cdd22304e28aa35b4ae1e7cfe67796 | 7a27969ab1d1f6e07aff12500da64672528dee09 | refs/heads/master | 2021-01-11T11:56:29.332876 | 2016-12-20T03:35:43 | 2016-12-20T03:35:43 | 76,696,407 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,831 | py | EmoClassifier.py |
# coding: utf-8
"""Supporting model logic for predicting emotional content of user input.
"""
import pandas as pd
import gensim
from sklearn.model_selection import train_test_split
from sklearn.multiclass import OneVsRestClassifier
from sklearn.svm import LinearSVC
#load data for emo2vec
loc = 'https://s3-us-west-1.a... |
d2e46944ab05c5e8c1979101728b7b25900be342 | 5f1a3d7f36425a52049f3bf14f7a8cee66fb23d5 | /test/helpers/test_background.py | bdac2774a13667ab1f7b36f235e3fd3765603fc8 | [
"MIT"
] | permissive | timeflux/timeflux | 1d6fdae7ec6e26f6a07c36efa068f57f713c13e2 | 55ccae74b5eb99504b3aa715ffa394b7716884b2 | refs/heads/master | 2023-06-07T16:42:35.337451 | 2023-06-01T15:04:27 | 2023-06-01T15:04:27 | 164,121,626 | 163 | 23 | MIT | 2023-02-23T05:12:57 | 2019-01-04T15:09:03 | Python | UTF-8 | Python | false | false | 1,497 | py | test_background.py | import pytest
from time import sleep
from timeflux.helpers.background import Task
class DummyWorker():
def echo(self, message='hello', delay=0, fail=False):
sleep(delay)
if fail: raise Exception('failed')
self.message = message
return(self.message)
def test_default(working_path):
... |
b2f2f1e4b7070ac867b71e538f759e527eb1ffb9 | 2615c9f498a2e70af9652226c092fafe12516b6f | /controller/c1.py | 61f4acdbe845c8981e6cb5b596c9a8ce4a2c7ea1 | [] | no_license | Zeta-qixi/Hand-controller | 285da9c3186501ee8bf91be37ae520e17996155d | c0354c2c488e84ab1d817af4b259c51c514e15b2 | refs/heads/main | 2023-04-29T12:30:21.314122 | 2021-05-23T10:23:16 | 2021-05-23T10:23:16 | 355,833,027 | 0 | 0 | null | 2021-05-20T15:20:22 | 2021-04-08T08:58:04 | Jupyter Notebook | UTF-8 | Python | false | false | 983 | py | c1.py | from pymouse import PyMouse
m = PyMouse()
w,h = m.screen_size()
class base_controller:
def __init__(self):
pass
def move(self,xy:list):
'''
移动
'''
m.move(xy[0]*w,xy[1]*h)
def click(self, xy:list):
'''
点击
'''
m.click(xy[0]*w,xy... |
ec9efeca7eef7b8ee25c1e089e675bdb1e53413b | 36de14c6b188886df6a284ee9ce4a464a5ded433 | /Solutions/0668/0668.py | cdef5b0b2543172ebd132c97cbded834936b728d | [] | no_license | washing1127/LeetCode | 0dca0f3caa5fddd72b299e6e8f59b5f2bf76ddd8 | b910ddf32c7e727373449266c9e3167c21485167 | refs/heads/main | 2023-03-04T23:46:40.617866 | 2023-02-21T03:00:04 | 2023-02-21T03:00:04 | 319,191,720 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 306 | py | 0668.py | # -*- coding:utf-8 -*-
# Author: washing
# DateTime: 2022/5/18 10:28
# File: 0668.py
# Desc: CV
class Solution:
def findKthNumber(self, m: int, n: int, k: int) -> int:
return bisect_left(range(m * n), k, key=lambda x: x // n * n + sum(x // i for i in range(x // n + 1, m + 1)))
|
13342922022f0a0e8928c81c1c4716125af0b2c4 | 0c1d79a26a017bff67fd5c4c4888019356ea9c0a | /实验图/MAE.py | 16b49a7e70ff62852c1f07914f0a0d6e0b353c4b | [] | no_license | zhouhaosame/leetcode_zh | 2d6978d15f9863af6188ce94f7f12c1b83b10a46 | 56232c275ccea354c3944191454ebc7902bb15c8 | refs/heads/master | 2020-04-08T04:51:51.893507 | 2019-06-17T07:09:29 | 2019-06-17T07:09:29 | 159,035,337 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,076 | py | MAE.py | import matplotlib.pyplot as plt
import numpy as np
plt.rcParams['savefig.dpi'] = 300 #图片像素
plt.rcParams['figure.dpi'] = 300 #分辨率
plt.rcParams['font.sans-serif']=['SimHei']
plt.rcParams['axes.unicode_minus'] = False
x_axis = [20,40,60,80,100]
rf = [184,174,166,159,157.5]
anns = [186,179,170,164,161]
adaboost = [187.5,1... |
cb08b95e3b9c80fb74d4415b3798ddbb36cd76e7 | 6c8f7f5c3e8a61d3d1c63e7c3f19953df496ae8f | /problems/unsolved_problems/test_170_find_the_largest_0_to_9_pandigital_that_can_be_formed_by_concatenating_products.py | aed442941d10c7c63b2727711b71fef472c64902 | [] | no_license | KristofferFJ/PE | a5b5f8dabbd0ee6e61506899eabf070ae0cad619 | 4715da077fac3bb8f061f6d773166c575c9c7813 | refs/heads/master | 2022-08-07T03:57:54.712661 | 2022-07-24T20:28:24 | 2022-07-24T20:28:24 | 118,385,527 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 768 | py | test_170_find_the_largest_0_to_9_pandigital_that_can_be_formed_by_concatenating_products.py | import unittest
"""
Find the largest 0 to 9 pandigital that can be formed by concatenating products
Take the number 6 and multiply it by each of 1273 and 9854:
6 × 1273 = 7638
6 × 9854 = 59124
By concatenating these products we get the 1 to 9 pandigital 763859124. We will call 763859124 the "concatenated product of ... |
b931b181b216572b223f55ef113a49e17f2bc93e | b88fd88cf424a82b5997409a0db54e2728581b7c | /docs/conf_theme/sphinxbootstrap4theme/conf.py | 6c5014f478691e1049863cffc004e21651e4a393 | [
"BSD-3-Clause"
] | permissive | TaiSakuma/urbanoctowaddle | 99c6f1e2e056747c758120ffacca3a2e1032f859 | 0d297f0c47c97cc34d8816c78121b555efd79e7c | refs/heads/master | 2021-05-09T04:42:23.597914 | 2018-02-12T11:51:24 | 2018-02-12T11:51:24 | 119,283,757 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,175 | py | conf.py | # -*- coding: utf-8 -*-
import sphinxbootstrap4theme
html_theme = 'sphinxbootstrap4theme'
html_theme_path = [sphinxbootstrap4theme.get_path()]
# https://github.com/myyasuda/sphinxbootstrap4theme
# http://myyasuda.github.io/sphinxbootstrap4theme/setup.html#instllation
html_theme_options = {
# Navbar style.
# V... |
aeba34e28a22db4a36b1b7b04c27676a31489a97 | ee09692b9fff973aa2c95d7a5d59925d62109137 | /cython_pi.py | a14934ee045bd542e9decff50cbf053424208745 | [] | no_license | antocuni/djit | 9e2062cff27567b5dfb4f76ac10af7791a7ba9d5 | 5f0c293ce2b9dfd95f62e5cfd8e36c6d80791e09 | refs/heads/master | 2022-07-05T08:00:28.110921 | 2020-05-09T23:00:27 | 2020-05-09T23:00:27 | 262,993,778 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 320 | py | cython_pi.py | def compute_pi(iterations):
delta = 1.0 / iterations
inside = 0.0
x = 0.0
while x < 1:
y = 0.0
while y < 1:
if x*x + y*y < 1:
inside = inside + 1
y = y + delta
x = x + delta
total = iterations * iterations
return inside / total * 4
|
dd006d38f40ff5779b6cdcb55c2976193fc01533 | ce2b4ad9679b41371c0c02d03725d97d37a6d448 | /build/lib/yyam/tomrw.py | 92408fe25207481e3f7089f52f78f7b3b3a20d44 | [
"MIT"
] | permissive | include-yy/account-manager | b4fc9348516b6993e22b61409dddd13f5dd20cf0 | ae28433909d0f6580693d1a5b65e40dfbb9d5f57 | refs/heads/master | 2022-11-24T05:33:54.957554 | 2020-07-28T07:15:24 | 2020-07-28T07:15:24 | 282,758,755 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 153 | py | tomrw.py | from tomlkit import parse, dumps
from toml import loads
def tom_parse(in_str):
return loads(in_str)
def tom_dump(in_dic):
return dumps(in_dic)
|
fcd26ed9e330a9dad7800ef87c0ba56e629de7f3 | 1084f6e49cb5bc119e269074abeb19892936ced0 | /1_primeiro_programa/exercicios_comparadores/ex_comparadores.py | be94467348200d7e13539abf59688f1ad2bb9a0c | [
"MIT"
] | permissive | ericsporto/Logica_com_Python | b14c68856156d20e54451064bc2854636a724740 | 6036de44776c69da1381d4b4e05abbfd7523c9f5 | refs/heads/main | 2023-09-04T13:25:14.591405 | 2021-10-22T10:44:16 | 2021-10-22T10:44:16 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 150 | py | ex_comparadores.py | a = 5
b = 3
c = 10
d = 2
print(a > b)
print(c == a)
print(d != a)
print(a <= c)
print(a != c)
print(d >= a)
print(d != b)
print(d < c)
print(b >= a)
|
04d8ba3a40eb2e581b15c2eb6e2d9d8e7abc2222 | 5331f08db7499a67d12988cf785931e258442591 | /units/si_convert.py | ec692df7f35aebb2c37c7e15068d65d48fead584 | [
"MIT"
] | permissive | teekennedy/si-converter | 02ccaaae938721ad42637d35df85b624bda279d7 | 238509cf89ec6adb0db6c669291c21cb7a5daa3f | refs/heads/master | 2022-01-05T04:26:42.212060 | 2018-11-06T03:19:06 | 2018-11-06T03:19:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,283 | py | si_convert.py | #!/usr/bin/env python3
from collections import deque, namedtuple
from enum import Enum
import re
from units.units import UNITS, si_unit_lookup_table
TokenType = Enum('TokenType', 'LPAREN RPAREN UNIT MUL DIV')
Token = namedtuple('Token', 'type text coefficient')
Token.__new__.__defaults__ = (None,)
TOKEN_REGEXES = {
... |
27395d6b31d49aa7c6e3278d6a99011f530f2a89 | b9ef71ae28d743da43393aaa00e971e8ffabf225 | /revue_description_generator.py | 3446a9003c52bbaeb9bdda628dcc2ca67b6eb6fe | [] | no_license | dabomb2654/google-zuka | 011f1f3364338a90b7cb15c26be4745524e6db3f | fb70b99148a02b2576f92403f5d3ccfb8d4c50eb | refs/heads/master | 2021-07-07T04:30:31.195464 | 2020-03-22T12:47:05 | 2020-03-22T12:47:05 | 228,945,061 | 0 | 1 | null | 2021-03-20T02:27:45 | 2019-12-19T00:37:18 | Python | UTF-8 | Python | false | false | 924 | py | revue_description_generator.py | from textblob import TextBlob
from textblob import Word
import sys
import pprint
#text = sys.stdin.read().lower()
#blob = TextBlob(text)
'''
print(type(blob.tags))
print(len(blob.tags))
NN_dict = {}
JJ_dict = {}
for word_type in blob.tags:
#check type
if 'NN' in word_type[1]:
#print("got a noun")
if word_type[0]... |
18bc7d7ddc1c84e423e63e465287fc7577fc3f28 | a7d9acce28f9277d6a75d9d7bb03ce493d6614b0 | /app.py | e2374838996422609364a296fd9f4b837daa0484 | [] | no_license | joao-fernandes-99/squid_api | 6f7759e73018876623fd4103e310523136b8df36 | 023a8972bfa397886c44e5d5bc61fd2d17001fe3 | refs/heads/master | 2023-01-12T21:09:49.161057 | 2020-11-09T01:42:22 | 2020-11-09T01:42:22 | 311,192,471 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,062 | py | app.py | from flask import Flask, jsonify
from flask_restful import Api
from flask_cors import CORS
from resources.arquivos import Arquivos, Arquivo,Arquinobloq
from resources.palavras import Palavras, Palavra, Palavrasbloq
from resources.tipos_site import TiposSites
from resources.sites import Sites, Site, SitesBloqu
app = Fla... |
cbe7bf156e81de0bba5688eb1cb8e5da94170b85 | 18239675471703198cd3c359cd3873dce8818210 | /examples/search.py | ebd3e4ace24aa8f8da790e6d6996f6815fbe792d | [] | no_license | novag/spotify.py | e8700e4ac371a539d87bb3d6127afa1457163e7b | 23deff70de784d162710dc98027855aa58fa4fd6 | refs/heads/master | 2021-01-18T07:34:25.269075 | 2016-08-02T14:34:57 | 2016-08-02T14:34:57 | 22,550,326 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,816 | py | search.py | from spotify.client import Spotify
import logging
import os
log = logging.getLogger(__name__)
class App(object):
def __init__(self):
self.sp = Spotify()
def run(self):
@self.sp.login(os.environ['USERNAME'], os.environ['PASSWORD'])
def on_login():
self.sp.search('daft pun... |
651183422940f9c4e4eeb082dae8afa7dfe103b5 | e268ba68094e9724887a66697d8bb2b80a4b59fb | /Python35/淘宝/taobao_jd.py | a83435dc58ee218c2e4f37776abcf921db4ab32e | [
"MIT"
] | permissive | smujm/MyProjects | a91f1b9b5e474a2fda15c6b4a2e765dd01e758f1 | 057da8137ffc0eff0b8d94e4f45494961d523385 | refs/heads/master | 2022-12-06T19:22:25.866294 | 2020-09-08T09:34:19 | 2020-09-08T09:34:19 | 289,204,320 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 12,022 | py | taobao_jd.py | # coding=utf-8
import base64
import os
import random
import sys
import time
import datetime
import parsel
from selenium import webdriver
from selenium.webdriver import ActionChains
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import WebDriverWait # 等待浏览器加载数据
import re
import requ... |
0c92d43a3b6ecd9141c517d7341c9451af69b426 | 3c68259b9bc80b31614eff66a53cebdb7a720449 | /Webmodule/Session4/Homework/testdes2.py | f67ee3245a1402e683acf0d99e0191bbafe1169e | [] | no_license | leducanh300795/c4e17-New-Cause-old-one-got-retk-so-bad- | 5eb21f43e70e15b92dd4e4601ba46f512c307652 | 472273500be64a5bc3adb8bade5e63b65730cd15 | refs/heads/master | 2021-06-06T01:55:41.608985 | 2020-06-16T04:07:03 | 2020-06-16T04:07:03 | 134,132,513 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,267 | py | testdes2.py | from random import choice,randint
def tp():
tps=['An Giang','Bà Rịa-Vũng Tàu','Bạc Liêu','Bắc Kạn','Bắc Giang','Bắc Ninh','Bến Tre','Bình Dương','Bình Định','Bình Phước','Bình Thuận','Cà Mau','Cao Bằng','Cần Thơ (TP)','Đà Nẵng (TP)','Đắk Lắk','Đắk Nông','Điện Biên','Đồng Nai','Đồng Tháp','Gia Lai','Hà Giang','Hà N... |
523eb0ce42f4c1ad448c765b7b869a5b81235d92 | 52ece7acc902c570a8981ed8e3104cad80f4c80d | /Random/q66.py | 729f5f21b49125cc553603570616fff27bba5ff2 | [] | no_license | its-sachin/LeetCode | fa1b4c30672bd82bd777001553f6e06c191ba6e3 | 44b79d3d55b383e74d4c9cd7a3da7d659f3f36d5 | refs/heads/master | 2023-06-19T11:24:58.473110 | 2021-07-18T19:02:57 | 2021-07-18T19:02:57 | 380,414,089 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 401 | py | q66.py | import math; inf= 1e18; mod =10**9+7
class Solution:
def plusOne(self, digits):
carry =1
i=len(digits)-1
while(carry ==1 and i>=0):
digits[i]+=1
if(digits[i]==10):
digits[i]=0
carry=1
else:
carry=0
... |
0d0ed37bd9d50e7e637c29a908b810a280515e7a | 924cb8d454b21f0db5eceda6b775cce19d566ed9 | /src/14th/partTwo.py | 6801a273c6a82b548adb3f94b17d5522cf6cab00 | [] | no_license | RaczeQ/AdventOfCode2017 | 4946b887bc7a924bc8667b9686e3938f6a0825fb | 3cf363029f9c2cd374dee91746228bef42486da2 | refs/heads/master | 2021-05-06T22:11:30.818733 | 2017-12-22T13:43:59 | 2017-12-22T13:43:59 | 112,725,877 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 869 | py | partTwo.py | # -*- coding: utf-8 -*-
'''
Created on 15.12.2017
@author: RaczeQ
'''
INPUT = '''Generator A starts with 618
Generator B starts with 814'''
def main():
rows = INPUT.split('\n')
a_factor = 16807
b_factor = 48271
divider = 2147483647
gen_a = int(rows[0].split(' ')[-1]) * a_factor
gen_b = int(ro... |
a8a7ceafc6e219fcbd6786359b85e072c8c96659 | 28618dd0ee7b19f49a9a79aa9520a7b03c5c31e5 | /app.py | b553fc95b7e04f22d73ec784a2fa9ab721c8715c | [] | no_license | SibinThomasQuad/App-Password-Cracker | dbd62cf38a0ba4c62bde6d130399e76f0d0ee116 | d80d7f8c8fdb52ee034ddae008f56661c07fc4c1 | refs/heads/master | 2023-06-21T15:24:55.629994 | 2021-08-04T05:57:11 | 2021-08-04T05:57:11 | 392,567,275 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 202 | py | app.py | import time
from pyautogui import press, typewrite, hotkey
time.sleep(10)
#press('a')
typewrite('quick brown fox')
press('enter')
typewrite('hacker')
press('enter')
typewrite('SIBI1996')
press('enter')
|
99511dfdc5050c0d0f5f7fde2ffe930a6c816ddc | 1f52d7a35cab46635ca36e233c926eba9321f7c7 | /SumedhaAPI/app/migrations/0006_auto_20201228_1718.py | 1acbdd130e97babbd0143f109d53fbc5a8e7afba | [] | no_license | aryankul97/SabertoothCode | 54536b10e88f9d4888bff6b937070fa8dd7b1e3d | 46b9b16f8d170c8c525e69c70cec692898b63753 | refs/heads/master | 2023-04-29T19:09:40.041106 | 2021-05-13T08:43:37 | 2021-05-13T08:43:37 | 366,980,725 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,930 | py | 0006_auto_20201228_1718.py | # Generated by Django 3.1.1 on 2020-12-28 11:48
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('app', '0005_businessdata_stafftypedata'),
]
operations = [
migrations.RenameField(
model_name='staffdata',
old_name=... |
ab0b6505f488f1ae525586eb3439c60d7dec5a2a | dacaa9c2f56e48674accd7a381b510d08d3f91a6 | /wavenet_varied_width.py | 0baba71dc5c0c053a16e983a1242d2c0c8f57844 | [] | no_license | njmch03/KDD2018_OurSolution_Top2 | edd45cf7d45c085bbe3e291d851e04043d6ee03a | d5d04752d4c05c66fa645e98a587b2cf31280b97 | refs/heads/master | 2022-07-06T20:36:06.120860 | 2020-05-13T06:10:36 | 2020-05-13T06:10:36 | 263,042,994 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 29,818 | py | wavenet_varied_width.py | import tensorflow as tf
import pandas as pd
import numpy as np
import os.path
import os, sys
import argparse
from datetime import datetime
from helper import erfinv_rank_transform, log100p, expm100
from data_frame import DataFrameKDD
class DataReader(object):
def __init__(self, data_dir, x_encode_len=24*14):
... |
e9d12415958355710f51a2d426ec58860d54f908 | ca643843b38f6bd88fbdf4fc905fb0168af4c80a | /topicmodel/run_lda.py | c3af4fa772f0b4ee2121304447732b5e1c72b49b | [] | no_license | pvt2345/KMS_IDRec | 8fe5ed9a29f02d89f8ac07707d6e9aa63aa7cc5f | 90dc00c81bf5a9635e833beef24f24caec394ff9 | refs/heads/master | 2020-07-18T17:47:49.704696 | 2019-09-04T09:52:11 | 2019-09-04T09:52:11 | 206,286,871 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,310 | py | run_lda.py | from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.decomposition import LatentDirichletAllocation
import numpy as np
from database.mysql_utils import DataAccess
import pickle
import os
from preprocess.preprocess import clean_doc
path = os.path.dirname(__file__)
model_path = os.path.join(path,'lda... |
8a997b4bb04b7a63907fd0eb6529256b81c84534 | bea0e4806236daff2a07df2f0949fe046ef76c03 | /apps/op/controllers/mock/__init__.py | 1dd4e006e196f7d8b47f580bb3b1847b7294f8fd | [] | no_license | xutaoding/osp_autumn | 68903f7acf78d7572777a500172e2f8c09afed48 | daf260ecd5adf553490a8ac6b389a74439234b6a | refs/heads/master | 2021-01-09T21:51:51.248630 | 2015-11-23T08:20:00 | 2015-11-23T08:20:00 | 46,706,177 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 809 | py | __init__.py | # -*- coding: utf-8 -*-
from .. import BaseHandler
from .. import require
import urllib
import tornado.gen
from tornado.httpclient import AsyncHTTPClient, HTTPRequest
class Index(BaseHandler):
@require('developer')
def get(self):
self.render('mock/index.html')
class TaobaoCouponAPI(BaseHandler):
... |
b41e464e4fac9da53495c16fc02b7af3c3692d9d | ab0b8ea5f2346166d47165159379a92d68816cde | /src/main/python/users.py | 8d5b69ef87efb4ca0f6ed58b3af565ec6540513b | [
"MIT"
] | permissive | FurmanSK/codeSample | 4679bdc81001ebeb3a82024c2aa8ee7d56a39467 | f2e3191e1b636ba0ec59b8a52d3af4d6ead6b7db | refs/heads/master | 2020-07-07T23:36:58.424004 | 2019-08-26T02:07:15 | 2019-08-26T02:07:15 | 203,506,074 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,628 | py | users.py | import re
# Class User
class User():
Name = "John Doe" # Default name is John Doe starting out
email = "name@something.com" # email address of user
Nickname = "Slick" # Nickname of user
# constructor of the Character object.
def __init__(self, name, email, ni... |
27aa8b65ddae2151296ceba0f951f75ec0adefea | d6560cbc7ca75d73427283638e6f919729f4d8b3 | /addons/bt_project/models/bt_work_hours.py | 01dbff86825f06ab8517dfbc69d8d82ca4ce2732 | [] | no_license | zzlhym/odoo | 752744d9f342fae1864475bc70d4d163121bb426 | bcd45fafd7fd438e3b67904a750251d5d92036c3 | refs/heads/master | 2020-04-06T21:15:37.845115 | 2018-11-20T06:26:20 | 2018-11-20T06:26:20 | 157,798,059 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 796 | py | bt_work_hours.py | # -*- coding: utf-8 -*-
from openerp import models, fields, api, osv
from datetime import datetime
import openerp.addons.decimal_precision as dp
from openerp.addons.stock import stock
class BtWorkHours(models.Model):
_name = 'bt.work.hours'
_description = "bt work hours"
plan_hours = fields.Float("计划工时... |
fa7e43e160c7c103aa917fe8c587eace799097a8 | b0774f7e8e360ae635e25093b0a7d0fd4de7c72a | /Consultar_Usuario_Fallido/addons/string_utils/__init__.py | a6bdb1f14c2594159040d1f22ef94bbd48178a97 | [] | no_license | dacorread05/Scripts_Pruebas | af8ccfb92d57f8db2c6224b41a432bd5c48b7d93 | 0f028213b356e3dc6edffb8b9d7184c031fada01 | refs/heads/master | 2023-08-20T00:48:37.157545 | 2021-10-14T00:10:08 | 2021-10-14T00:10:08 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 38 | py | __init__.py | from .string_utils import StringUtils
|
af0978643878c56c8fbc7ec3c75707176b55ac59 | a8f5ab7d9fbc6e15676be5414f8de803910fe8b6 | /palindrome/minim/__init__.py | 1e842836095554e997eba969c6e459b66d3a51f1 | [] | no_license | davidpettersson/palindrome | 893919829ecf8419233cc1f50d29830b1e3d32ce | 18ca679264c6f62db075668f32bcfc4a9a9ff30f | refs/heads/master | 2020-06-09T04:40:32.613564 | 2019-06-26T15:42:40 | 2019-06-26T15:42:40 | 193,372,014 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 46 | py | __init__.py | default_app_config = 'minim.apps.MinimConfig'
|
7ece0418ce3e183ddd67d0bc4de8577980799b14 | 9984f94093625ca66e9d6e0abe73eabe6ed5892c | /week07_seq2seq/basic_model_tf.py | 2d70901240919b62898c27434bce885f02c11482 | [
"Unlicense"
] | permissive | yandexdataschool/Practical_RL | 1d8c0ed6db4780b423be7aa51b560b2ad1fbecef | c598c63c16dba57639013a90086735377a2562b1 | refs/heads/master | 2023-08-30T10:44:01.620442 | 2023-08-13T22:58:35 | 2023-08-13T22:58:35 | 79,821,807 | 5,932 | 1,902 | Unlicense | 2023-09-10T19:47:35 | 2017-01-23T16:18:00 | Jupyter Notebook | UTF-8 | Python | false | false | 9,656 | py | basic_model_tf.py | import tensorflow as tf
import keras.layers as L
# This code implements a single-GRU seq2seq model. You will have to improve it later in the assignment.
# Note 1: when using several recurrent layers TF can mixed up the weights of different recurrent layers.
# In that case, make sure you both create AND use each rnn/gr... |
68c97f906ef3b15a5ce9427a9ea4c0f1bb6212ef | 7ef3c4db1af11e6fb69eae0f2511b89a2fc9c665 | /20210705/py07_ML_kNN_aircon.py | f8399635ec4ae187433ace5a5827cbd7de5c02dd | [] | no_license | mooniny/workOut | b1aa89e236b329634a7fab5a4627992c63a431a3 | 34d1bd1107c47f4ed364f3c435e5990a4058bb6a | refs/heads/main | 2023-06-25T15:00:38.344035 | 2021-08-02T05:11:57 | 2021-08-02T05:11:57 | 383,686,870 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,455 | py | py07_ML_kNN_aircon.py | # -*- coding:utf-8 -*-
import pandas as pd
from sklearn.neighbors._classification import KNeighborsClassifier
from http.client import HTTPSConnection
from bson.json_util import loads
from sklearn.preprocessing._data import MinMaxScaler
airconDF = pd.read_csv("C:\\Users\\sdedu\\Desktop\\test\\owmWeather/owmWeather.csv"... |
4e5c99e8ee98d8347216be5b7b5d72ee8a07f715 | 59a5b68830a02be3ffa03179be24f97e12021d6d | /api/models/group.py | 820241e98b451bdf3777d7f9f348cfe1756cf45d | [] | no_license | suryateja94/blue | fe498134212541fb884a0c190ad58847bf8e5d51 | a20bef81b537fc3017749669d96367256fda6b4e | refs/heads/master | 2023-08-18T12:53:06.060590 | 2019-12-17T19:59:39 | 2019-12-17T19:59:39 | 228,691,503 | 0 | 0 | null | 2023-08-14T22:07:45 | 2019-12-17T19:57:13 | Python | UTF-8 | Python | false | false | 2,743 | py | group.py | from tornado.gen import coroutine, Return
from api.stores.group import Group, GroupType
from api.stores.user import GroupMapping, SupportedRoles, User, StatusType
from db import QueryConstants
from tornado.gen import *
import bcrypt
import jwt
import base64
from api.stores.user import User, LinkedAccount, LinkedAccount... |
fbf1d21ceaa3f6c8da583140e4a7aea19276a2e3 | 85182092cec705b6b6eec8f900c038ebc0adaeef | /tests/test_json.py | c35718737b865c024a699d8a36d9f05350d34091 | [
"MIT"
] | permissive | vlasovskikh/funcparserlib | 8ee8837554d4ba7d16037bb90b23a09cc32e503f | 343a65d074bb1105381a619a6352b24a6c1b3ac0 | refs/heads/master | 2023-03-16T02:48:19.616867 | 2023-03-07T22:50:45 | 2023-03-07T22:51:52 | 34,477,477 | 343 | 52 | MIT | 2023-03-07T23:41:33 | 2015-04-23T19:38:11 | Python | UTF-8 | Python | false | false | 3,554 | py | test_json.py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import unittest
from typing import Text, Optional
from funcparserlib.parser import NoParseError
from funcparserlib.lexer import LexerError
from . import json
class JsonTest(unittest.TestCase):
def t(self, data, expected=None):
# type: (Tex... |
823b0380e75c0a09581efea5a30e7d8ac0dd4448 | 79c9e498fd0b455f5535e2041dc49f7bc37d1f49 | /parser_update.py | b732007ee296d1211070e176ce06ca6d3c1c9426 | [
"Apache-2.0"
] | permissive | Valloric/nailgun | 6fdcb20a7b5f22ce2dde9f0f6345988c5360a25e | b327a0934de6ebc4e3ae4f1b54a9941ead20e9e8 | refs/heads/master | 2021-01-16T19:31:47.560300 | 2016-10-01T22:30:13 | 2016-10-01T22:30:13 | 19,653,480 | 8 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,416 | py | parser_update.py | #!/usr/bin/env python
#
# Copyright 2014 Strahinja Val Markovic
#
# 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 appli... |
94d53edd0800f8b4ebe2cd5241f896a651ab691f | 3d9494c994cec29d684d0e56b4d09dce150999a2 | /Student_Database.py | 855dcd3d6dc85a0f0c95bb99d76d13148ec9d383 | [] | no_license | yeshwanth2812/Python-week4 | d564906968c561b929d1c7fd76b455dfbf7766bb | 6a94715fc61aadefa6a7dd17987bced054f765a8 | refs/heads/main | 2023-03-27T17:48:00.480168 | 2021-04-02T05:43:44 | 2021-04-02T05:43:44 | 353,914,733 | 0 | 0 | null | 2021-04-02T05:43:45 | 2021-04-02T05:25:28 | null | UTF-8 | Python | false | false | 474 | py | Student_Database.py | import mysql.connector as mysql
#try:
mydb = mysql.connect(user ="Yesh", password="Pass@123", host='127.0.0.1', database='college')
mycursor = mydb.cursor()
print(mycursor)
#mycursor.execute("Show tables;")
#myresult = mycursor.fetchall()
#for x in myresult:
# print(x)
sql = "INSERT INTO CLASS1 (ROLLNO) VALUES... |
2810696d723f7a1d0db85b90bc3d60c05d044db9 | ad6f56c612732c6b65d84633f0127735731b2395 | /tg_ui/pmod_bot.py | e8872999daf15f58f8b341bccfed20a0399087ac | [] | no_license | DanilPestryakov/population-modeling | 3cc85b3654d467c0bd853498d2b96be464ac3b83 | b1b49758fb44ec3f50c21b3c6a63bb8e2c7a56bf | refs/heads/main | 2023-06-03T03:35:38.498425 | 2021-06-18T13:38:35 | 2021-06-18T13:38:35 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,189 | py | pmod_bot.py | from telebot import types
import json
import requests
from tg_ui.token import TOKEN
import telebot
bot = telebot.TeleBot(TOKEN)
population_id = None
global host_url
with open('config.json') as file:
global host_url
path = json.load(file)
host_url = path['host_url']
@bot.message_handler(content_types=['te... |
045e99ea6ec28417f8c7a98cd69216e263182a11 | 8109f9115b368083cba453d1ae0716f3bbb3941d | /setup.py | 633eb330f3b24754e53e8e80e13667c19e394451 | [] | no_license | sukhbinder/kanada | b333be141c9dea032210ad1c02cbcaaad833c886 | 509f6e306777b5f2a02afa58a168a87e6d23011f | refs/heads/master | 2022-06-26T19:18:45.399235 | 2020-05-10T12:38:15 | 2020-05-10T12:38:15 | 262,742,905 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 361 | py | setup.py | import os
import json
from setuptools import find_packages, setup
setup(
name="learnkanada",
version="1.0",
packages=find_packages(),
license="Private",
description="Learn Kanada one word a day",
author="sukhbinder",
author_email="sukh2010@yahoo.com",
entry_points={
'gui_scripts... |
a6ceafb6615997cffc5ecbb52603722c573c9987 | 2797e8402d2559b38921200e0012f2b4a596b2ce | /031-chatbot/advanced/utils/file_helper.py | 7eaf15c8ecaa70bfbb45e04df598fd55947302c2 | [
"Apache-2.0"
] | permissive | AbdullaElshourbagy/deeplearning | 6a64bd5984f4ed1aa752562f83f45a8bcedfd6c3 | e6004da4df5d8d066f637dc471f4a0f590f3af1e | refs/heads/master | 2021-09-22T21:03:23.030885 | 2018-07-09T11:34:28 | 2018-07-09T11:34:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 310 | py | file_helper.py | import os
def file_exists(path):
"""Test whether a path exists. Returns False for broken symbolic links"""
try:
st = os.stat(path)
except os.error:
return False
return True
def try_create_dir(directory):
if not os.path.exists(directory):
os.makedirs(directory)
|