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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
87504fb88cbbf810ad8bab08bc59284d2cf37cce | 17f1811abda6c828460b77f460671f9c2f464204 | /leetcode/find_disappeared.py | af01a7b5d26e35333850f901d27e18f29bf3faec | [] | no_license | rishabhranawat/challenge | f10f69fc30881a0571c4321b466a89aeeb06e568 | e836343be5185f8843bb77197fccff250e9a77e3 | refs/heads/master | 2021-01-21T15:13:47.590675 | 2020-04-25T15:26:42 | 2020-04-25T15:26:42 | 91,833,947 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 716 | py | find_disappeared.py | class Solution(object):
def findDisappearedNumbers(self, nums):
"""
:type nums: List[int]
:rtype: List[int]
"""
ns = [0]*len(nums)
for i in range(0, len(nums), 1):
ns[nums[i]-1] = 1
ret = []
for j in range(0, len(ns), 1):
... |
a7add26a919a41e52ae41c6b4c4079eadaa8aa1d | f369d676a7c9dc342b53ac0c2ad453e9d9a337d9 | /main/migrations/0037_promotion_image.py | 3d38467aac1302d375ce7176bebacbcd1443a04b | [] | no_license | katalyzator/beauty_spa | 3b6d942c5f61d0250b023d0e8f540090f7650a6b | e640b24ed40d8f5eaf1774435fd2c2e751240468 | refs/heads/master | 2020-03-09T18:06:11.363125 | 2018-07-27T12:11:19 | 2018-07-27T12:11:19 | 128,923,860 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 540 | py | 0037_promotion_image.py | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2018-05-16 12:24
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('main', '0036_auto_20180516_1818'),
]
operations = [
migrations.AddField(
... |
a52743fc911beb7e51644073131b25c177d4ad29 | 95f173a5e1d81cdf9571e4c5f5d095b67f18202c | /brainlit/algorithms/__init__.py | be8910201cd3edf8d70cd67636d71082af13ffcb | [] | no_license | johnduva/NeuroData | a74b73f3fa0d3789bf47a5c81565f6cd4d6943b3 | b66ed65439a34823b0becb1307b783b33ec198b1 | refs/heads/master | 2023-04-15T12:34:43.515866 | 2021-04-29T15:43:22 | 2021-04-29T15:43:22 | 301,274,382 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 100 | py | __init__.py | import brainlit.algorithms.generate_fragments
from brainlit.algorithms.generate_fragments import *
|
44a9bb4d74d2e694f252d8726647bca13baa4df5 | d0106f6d39e383cd361e356f9ffd9647f9c6f049 | /server/main.py | 883bd9e509a33ecfb8bf08657c922e081ece66bb | [
"MIT"
] | permissive | rhdurham/Automated-containerized-bioinformatics-workflows | 50ebbdb2e95792b80e3ec675f4b4224cb9c4ccaa | c5c9f039925671a8cd325b0df64a7c03a5bc7bfa | refs/heads/master | 2020-03-28T11:11:11.473632 | 2018-09-12T17:01:13 | 2018-09-12T17:01:13 | 148,186,289 | 0 | 0 | MIT | 2018-09-10T16:33:36 | 2018-09-10T16:33:36 | null | UTF-8 | Python | false | false | 1,481 | py | main.py | import tornado.ioloop
import tornado.web
import json
import utils
class BaseHandler(tornado.web.RequestHandler):
def set_default_headers(self):
self.set_header("Access-Control-Allow-Origin", "*")
self.set_header("Access-Control-Allow-Headers", "x-requested-with")
class CondaHandler(BaseHandler):
... |
ba8cb18544e4ded8b229bfb9cc4b28599119414f | bdd0161c9816df392191787ada36955cc932d1f6 | /sopht_mpi/numeric/eulerian_grid_ops/stencil_ops_2d/diffusion_flux_mpi_2d.py | e443ab7eac4f210aaae1ea99ffb1c3320bf8b705 | [
"MIT"
] | permissive | fankiat/sopht-mpi | 56ff537f409ee8cb56c649e090764e4b4a425889 | e5c4fb7d5e420d2ca6aea2206bb4b25185b6d92d | refs/heads/main | 2023-05-14T19:46:47.756046 | 2023-05-01T19:35:13 | 2023-05-01T19:35:13 | 528,962,533 | 4 | 3 | MIT | 2023-07-06T12:56:27 | 2022-08-25T17:58:20 | Python | UTF-8 | Python | false | false | 5,584 | py | diffusion_flux_mpi_2d.py | """MPI-supported kernels for computing diffusion flux in 2D."""
from sopht.numeric.eulerian_grid_ops.stencil_ops_2d import (
gen_diffusion_flux_pyst_kernel_2d,
gen_set_fixed_val_pyst_kernel_2d,
)
from sopht_mpi.utils.mpi_utils import check_valid_ghost_size_and_kernel_support
from mpi4py import MPI
def gen_dif... |
7754974e79202b2df4ab9a7f69948483042a67cc | 1a1628592231031089ce622a12ae6fce14d429dc | /test_mail.py | 591481812458d7f0aa0f805786eccfb0b58404f6 | [] | no_license | 1285yvonne/monitor | 76d46e9d943f6124fdc000354b415809ad4f5982 | 0d53ae1e176f7f386d07fab0311e532b10c1231d | refs/heads/master | 2021-01-19T00:58:46.817815 | 2016-07-25T15:26:31 | 2016-07-25T15:26:31 | 64,050,102 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 116 | py | test_mail.py | #! /usr/bin/env python
import smtpsend
S = smtpsend.Smtpsent(SUBJECT='Test')
S.sendemail('''
this is a test!
''')
|
987d6c769a4f593405e889ed2b0e3f9955900406 | a6d0578bd096358bcf8c607c86a3e05c9b2d89ad | /django/urls.py | 441d6e3863a66855766fd19992895005d934d171 | [] | no_license | rayansostenes/blue_tech_test | 6019b4009294aec1134a3e6aafb2bcf289385583 | 8ada662685e31dedf5a6690961bf226b5e15b13b | refs/heads/master | 2020-05-22T17:40:40.642530 | 2019-05-10T04:12:49 | 2019-05-13T16:13:42 | 186,455,254 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 788 | py | urls.py | from django.contrib import admin
from django.urls import path, include
from django.conf import settings
from rest_framework_swagger.views import get_swagger_view
schema_view = get_swagger_view(title='API')
from django.contrib.auth import views as auth_views
urlpatterns = [
path('django-admin/', admin.site.urls)... |
b808daf8d1fbe3cc585db57e1049a502d3ca46f5 | 1ecca68d201297512698f26e0f8bb5381eb4a8bb | /DataProcessing/medical.py | a2569e3314dde5009339b1566e3dae8343431528 | [] | no_license | TTNguyenDev/Thesis-2020 | 9f62c16e5d7a7c1ab3b43e045925e50a64439b16 | 3fff84e76dc3c7c2e4f82e035a03b193aeaca307 | refs/heads/master | 2023-07-05T19:30:16.243058 | 2021-03-08T16:02:49 | 2021-03-08T16:02:49 | 293,773,067 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,926 | py | medical.py | import pandas as pd
from pandas.io.json import json_normalize
import numpy as np
import warnings
import re
warnings.filterwarnings("ignore")
data_path = '/Users/trietnguyen/Documents/Thesis/Thesis-2020/References/Crawler/summaryDataJson.json'
weights = ['mg', 'ml', '%']
def formatName(name):
arr = re.split(' |-'... |
a649139a600cb506056a20e00089a07ec9244394 | fb33efbd375dc74edc20421f26b5b6bcc1b06102 | /gitsome/config.py | 2162798d1e20a6a4019243086c2ec34e5815a57b | [
"GPL-3.0-only",
"BSD-3-Clause",
"Apache-2.0",
"BSD-2-Clause",
"MIT"
] | permissive | stefb965/gitsome | 5a4ff5c2cb3b261ea75304d8621af5d156a64292 | a6a396411470f4a35420357c9f88e2ea62efff5c | refs/heads/master | 2021-01-12T08:58:18.124481 | 2017-04-15T02:01:38 | 2017-04-15T02:01:38 | 76,741,588 | 0 | 0 | Apache-2.0 | 2019-05-11T23:47:34 | 2016-12-17T19:02:39 | Python | UTF-8 | Python | false | false | 28,929 | py | config.py | # -*- coding: utf-8 -*-
# Copyright 2015 Donne Martin. 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. A copy of
# the License is located at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# or in the "lice... |
5488b32970a0b734334835457c712768a756de7f | 6e4cd274e30dbd72989d51b48cb48185a61e9166 | /Finalized Source Code/Sensor_access/data_analysis.py | 49e72237cc2c3fa0c58a2e5c98ad3f28386b4771 | [] | no_license | shrutidas/IoT-SMARTHOME | 62321eb896267fb48a1cea1adb1b38a0a0f82ce6 | e1645ba10cd1db6ce0cbd085da53e752c4cfc866 | refs/heads/master | 2020-03-19T02:09:59.633175 | 2018-08-15T16:57:04 | 2018-08-15T16:57:04 | 135,605,300 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,686 | py | data_analysis.py | from datetime import datetime
import requests as req
import smtplib
import mysql.connector
#mysql constant
MYSQL_HOST='den1.mysql6.gear.host'
MYSQL_USER='winlabiot'
MYSQL_PW='winlabiot+123'
MYSQL_DB="winlabiot"
Coffee_mailing_list_table='coffee_mailing_list'
#keys in dict receive via socket
TIME='time'
AMBIENT_TEM... |
77fe27f3966073266b78dfb1db644700902ecd2c | 6c05cc698a10a3c1b94e21b865282b17a3303632 | /15.py | 203b35c45d3e4d279f2d34f689d6da50652674bf | [] | no_license | connorlee77/project-euler | 244e478829beffa8cfbfb11de2c520defc80ccf2 | 18fc92ec6eff0f0cf24b8d68b924cd11a44c7f3b | refs/heads/master | 2016-08-11T15:24:37.394658 | 2016-02-15T05:04:04 | 2016-02-15T05:04:04 | 46,934,829 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 401 | py | 15.py | dimen = 21
def initGrid():
arr = []
for x in range(dimen):
arr.append([])
for y in range(dimen):
if x == dimen - 1 or y == dimen - 1:
arr[x].append(1)
else:
arr[x].append(0)
return arr
def countTracks():
mat = initGrid()
for x in range(dimen - 1)[::-1]:
for y in range(dimen - 1)[::-1]:
... |
51d5668cc887d27c017ce0bad05a0f3cd9db750a | 06bd8000335ada04c55f7321bc4339290df5a2b6 | /utils.py | a4eec9700335a6d180ba869153e1952f35d9e09f | [
"MIT"
] | permissive | naoc-1861355/HUMBI_image_classification | 4822c986ed13d086baab4539cb50257dd5fb6d29 | 07d65bb89f83a6247e2db36a8e06a18c5cb90c3d | refs/heads/master | 2022-12-22T10:53:24.159922 | 2020-09-25T09:59:11 | 2020-09-25T09:59:11 | 290,377,236 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,340 | py | utils.py | import json
import numpy as np
import cv2
def read_json(kp_labels):
kp_positions = np.zeros((21, 2), dtype='float32')
# read ezxr_render json label
ps = [kp_labels['f52'][0]['x'] + 0.5, kp_labels['f52'][0]['y'] + 0.5]
kp_positions[0] = np.asarray(ps)
jid = 1
for fid in range(5):
ps = k... |
a1844cc3699dc2ad3406adc2514da9c7e21c432f | d5268855c3651fcb09d09aeb9d0a744c173777e4 | /PoseUtils/openpose.py | 08ab3ec5b166f76fa9ba435858009f51a2bf9739 | [] | no_license | devyhia/pose-utils | e442b1215cd389db92355e187b517450fb9346f1 | 645fe8fcff4e8c7581c817d712aefadbd0f69184 | refs/heads/master | 2022-07-08T21:42:14.932511 | 2019-11-20T17:31:04 | 2019-11-20T17:31:04 | 218,521,236 | 0 | 0 | null | 2022-06-21T23:17:08 | 2019-10-30T12:21:37 | Python | UTF-8 | Python | false | false | 6,482 | py | openpose.py | """
OpenPose is a tool that predicts human body joints from RGB images.
In this module, I define cross-project code that I need for reading outputs of openpose and drawing its body skeleton.
"""
import json
from more_itertools import chunked
from typing import List, Any, Dict, NamedTuple
from enum import Enum
import m... |
3028ada4a77d25c5e185102efe4581e591b364bb | 8f2174012ed0fea166f25207241fac4800c9cfdd | /Development/Database/ParkingSlots.py | bc2102eea431e614322cf8c659d2d5f8b1a76b33 | [] | no_license | anjali0508/SmartParking | 36c03cb348d9796b06189f779e91e5b9831803a8 | ba37d14e1874e41bb0aba87b53415d11d6c30cc8 | refs/heads/master | 2022-08-01T11:25:08.258104 | 2020-01-25T12:49:22 | 2020-01-25T12:49:22 | 265,761,435 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,466 | py | ParkingSlots.py | from firebase import firebase
import IDGenerator
firebase = firebase.FirebaseApplication(
'https://smartparkingsystem-bca72.firebaseio.com/', None)
id = IDGenerator.ID()
class ParkingSlot:
def __init__(self, slotNo, type, allotted=False):
self.slotNo = slotNo
self.type = type
self.all... |
93b96f61cd3a27033026b82345dc02c86944214a | b7db1bafc54d96209451fdabe3aa5635eab4ee14 | /src/accounts/views.py | bdfff8cfe06dd509c0e5d4034816c1404655d800 | [] | no_license | sazhyk/defarena | 9ae1b8ecae925c4eb1aa92126cc51530e18c4f6a | a876dd25dd486093e0304584e5d5539a212e278a | refs/heads/master | 2021-01-01T03:16:09.601715 | 2016-08-11T14:14:25 | 2016-08-11T14:14:25 | 65,187,434 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 447 | py | views.py | # -*- coding: utf-8 -*-
from django.shortcuts import render, get_object_or_404
from userena.forms import SignupForm, AuthenticationForm
from django.contrib.auth.models import User
def home(request):
context = {
'login_form': AuthenticationForm
}
return render(request, 'home.html', context)
def r... |
82d88eeac9586e559a2a58f2832334360b6f30e3 | 8afb5afd38548c631f6f9536846039ef6cb297b9 | /MY_REPOS/DATA_STRUC_PYTHON_NOTES/python-prac/mini-scripts/Python_RegEx__sub_()_1.txt.py | 87fcf51e311f8a35bb313b8092b98ff51e937e58 | [
"MIT",
"Python-2.0"
] | permissive | bgoonz/UsefulResourceRepo2.0 | d87588ffd668bb498f7787b896cc7b20d83ce0ad | 2cb4b45dd14a230aa0e800042e893f8dfb23beda | refs/heads/master | 2023-03-17T01:22:05.254751 | 2022-08-11T03:18:22 | 2022-08-11T03:18:22 | 382,628,698 | 10 | 12 | MIT | 2022-10-10T14:13:54 | 2021-07-03T13:58:52 | null | UTF-8 | Python | false | false | 150 | py | Python_RegEx__sub_()_1.txt.py | import re
# Replace all white-space characters with the digit "9":
txt = "The rain in Spain"
x = re.sub("\s", "9", txt)
print(x)
# Author: Bryan G
|
c46aba577d984217abe29a38489e3c07103f4036 | ae9404218c872c1732004187992b902a52849b37 | /function,_methord,_lamda_dan_oop_.py | ed80f2050f5eda7fc580fd5362d311de84b4e6b0 | [] | no_license | DikiHanantaFirdaus/Orbit | 1ad3f9718261646479a89a64cc04dd95fa2e8db4 | 5d06a47cfa8209356cb0d88876f8cb347e97ebcd | refs/heads/main | 2023-08-19T01:54:42.860875 | 2021-10-08T01:47:01 | 2021-10-08T01:47:01 | 414,806,507 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,995 | py | function,_methord,_lamda_dan_oop_.py | # -*- coding: utf-8 -*-
"""Function, Methord, Lamda dan OOP .ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1g2fgoYLohAao13Th3-KY0LQgPPzF5JXg
# **Fungsi**
"""
# Deklarasi Fungsi
def cetak(x):
print(x)
# Memanggil Fungsi
cetak("wokee")
# D... |
b7ef5a88c84cfd8f919c41479accf4cef40ccc65 | 2f98aa7e5bfc2fc5ef25e4d5cfa1d7802e3a7fae | /python/python_7634.py | d3416e567e2045fe9a933722eec6fbff7b6cc804 | [] | no_license | AK-1121/code_extraction | cc812b6832b112e3ffcc2bb7eb4237fd85c88c01 | 5297a4a3aab3bb37efa24a89636935da04a1f8b6 | refs/heads/master | 2020-05-23T08:04:11.789141 | 2015-10-22T19:19:40 | 2015-10-22T19:19:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 83 | py | python_7634.py | # Sync django-piston models when using egg module
pip install django-piston==0.2.2
|
bcb34bf8f48d86b36f10c18d510282539f391991 | bb5924fac800107211f0bb1710876a2060f4ffe7 | /backend/migrations/0001_initial.py | 7841a140f469ae9534178aa8f22f6ef12996ed6e | [] | no_license | nchashch/prediction_market | 189c4f3b0caf2f0503b4a135cf298ac477ed27f3 | 9b5f2c97f74808723272d84f4578fc31699eb38e | refs/heads/master | 2023-01-10T16:02:44.994012 | 2019-05-24T10:21:01 | 2019-05-24T10:21:01 | 190,212,865 | 3 | 0 | null | 2023-01-03T23:23:18 | 2019-06-04T13:59:57 | JavaScript | UTF-8 | Python | false | false | 3,445 | py | 0001_initial.py | # Generated by Django 2.2 on 2019-04-15 16:56
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
opera... |
e551289986dd948d0566a1b5fcce5da8e8b9ae71 | 90efd882737656a678b2b333e0b07060ca851e7c | /Problem18.py | 0a2aabbd177d865a414a0215f3ee074164e1c40e | [] | no_license | Akanksha-Verma31/Python-Practice-Problems | 119072dd107f5b8772532752f1ae87de2b5f8266 | ba68272d2db17345c0e0502014aa3cbf848e1af1 | refs/heads/main | 2023-08-13T19:14:31.453415 | 2021-10-01T05:46:26 | 2021-10-01T05:46:26 | 400,790,808 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 176 | py | Problem18.py | # write a function to find the sum of 1,2,3,4 using arbitrary arguments
def sum(*num):
sum1 = 0
for a in num:
sum1 = sum1 + a
print(sum1)
sum(1,2,3,4)
|
067e8048e6b8a54fa3d1db890623c40600cd1c9d | 6c45253e641816e793d7b8ef6e172983eb38fa15 | /src/data/download.py | 72ccff67e5d2c6b37ca1867bca8767b354d74bba | [
"MIT"
] | permissive | infynite/hair-dye | 3941ba016a1a4c684516cffe8a4ed4efe7feff63 | d216e27e41f954221bae41ee6250ca29f5d2e859 | refs/heads/master | 2023-01-27T20:46:12.272946 | 2020-12-06T18:48:03 | 2020-12-06T18:48:03 | 319,102,114 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 70 | py | download.py | # download datasets
# use download.sh in hair-dye/ directory instead.
|
7626d8708723e7c18e81a1eb345ed1f6e460e2a1 | 6d3c407df83acdf75192c3145ce401f005625560 | /spoj/without_questions/TEST-7816537-src.py | 4da8ba417309d96bea87a2f97e134e8122ba7d91 | [] | no_license | premkamal13/my-code-repository | 79928a6892a606a413decb93e6ac85bd10cfdd01 | 1d097b4b782f54953b8a43b2efcd38a95c637e71 | refs/heads/master | 2020-04-15T08:26:08.224633 | 2019-01-08T01:16:44 | 2019-01-08T01:16:44 | 164,520,710 | 0 | 0 | null | 2019-01-08T01:07:58 | 2019-01-08T00:33:36 | null | UTF-8 | Python | false | false | 49 | py | TEST-7816537-src.py | x=input()
while(x!=42):
print x
x=input()
|
a8a602ce65831bab3f58a34cea88a747f6009dcd | 643c9e81cd934d8eb65da0241f887c5b3fba704e | /courseware/2第二模块/chapter3-文件操作与函数/文件处理/file_r+.py | 2bcab4be72368af3ea0ce72c34b2ded8bda6fe78 | [
"Apache-2.0"
] | permissive | Strugglingrookie/oldboy2 | 4c31b1219eb4fc914e27ffb7e105897bc1481a65 | 8ed6723cab1f54f2ff8ea0947c6f982aef7e1b47 | refs/heads/master | 2022-12-11T08:13:16.903497 | 2020-05-12T02:10:02 | 2020-05-12T02:10:02 | 187,308,689 | 1 | 1 | Apache-2.0 | 2021-06-10T21:27:15 | 2019-05-18T03:18:04 | HTML | UTF-8 | Python | false | false | 284 | py | file_r+.py |
f = open("兼职白领学生空姐模特护士联系方式.txt",'r+',encoding="gbk")
data = f.read()
print("content",data)
f.write("\nnewline 1哈哈")
f.write("\nnewline 2哈哈")
f.write("\nnewline 3哈哈")
f.write("\nnewline 4哈哈")
print("new content",f.read())
f.close() |
741e97226068a619eda7e784996870a787f40ce9 | ad2704933de4502ae9de91e6d915f9dbe010b446 | /naruhisa/chapter07/knock66.py | 7e3571f51af762ee0552e68b8acf56c9ce11d76d | [] | no_license | tmu-nlp/100knock2017 | 266e68917d8d5a7f5d0c064f1bc2da5fa402a253 | 629bd1155d0fe78cd9302ae9a7cdf0922b778fe7 | refs/heads/master | 2021-01-19T17:36:53.328997 | 2017-07-24T07:09:54 | 2017-07-24T07:09:54 | 88,334,932 | 8 | 2 | null | null | null | null | UTF-8 | Python | false | false | 184 | py | knock66.py | from pymongo import MongoClient
client = MongoClient()
db = client.MusicBrainz_DB
collection = db.artist_collection
print(collection.find({"area": "Japan"}).count())
client.close()
|
4e524a623509a671214c5f66e8fd6a5fd5a6a275 | cc86b16dc204f2f91eebd05440ce3ea5aeff827f | /booksguru/migrations/0001_initial.py | a4eafaf64f8e0000975e60bb2d9171c2047a53c3 | [] | no_license | dantovsky/ws-project-tp2 | 9b0be98741af31f0bc1519db8536834fc054db7a | 809d69a4977bd930eb78d92a2fca39a2685f949c | refs/heads/master | 2022-11-19T01:59:09.376596 | 2020-07-20T23:00:27 | 2020-07-20T23:00:27 | 281,231,967 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,902 | py | 0001_initial.py | # Generated by Django 3.0.5 on 2020-07-16 04:54
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Book',
fields=[
('id', models.AutoField(aut... |
820c19f83d2ef27935646448fb4e2d4b4db1d276 | cb063ff977477b47f2ce31d8aea98318c82f1827 | /apps/cell/urls.py | 91d31a0a177c4617cbb98effd18936e5f556558b | [] | no_license | douglasmoraisdev/mongodjangorestapi | 6683a6e56c4de18ecc14b1f4b1270e3e71083977 | b6bffef7558fd864333630b86bb1cf27429f323a | refs/heads/master | 2021-01-20T03:39:15.208054 | 2017-03-23T23:52:11 | 2017-03-23T23:52:11 | 83,832,370 | 13 | 0 | null | null | null | null | UTF-8 | Python | false | false | 155 | py | urls.py | from django.conf.urls import url
from . import views
'''
urlpatterns = [
#Celulas
url(r'^get/(.+)/$', views.cells.cell, name='cell'),
]
''' |
95ee113c65c5356e593172f174441e10409d49d9 | 4fa38edbe83f0ad9fb323ff2d902e3951b7a7120 | /eh_app/models/section.py | 8b1481a18f2101212147c59b8acc9fe368076b86 | [] | no_license | longdino/junior_project_3 | 848494e16ae2566a18c143bff93c6d4a55bcb65b | d4fc0ad8fbeeb232617a5188dde2f3ce70119222 | refs/heads/master | 2022-01-15T09:32:16.128842 | 2019-05-14T22:38:11 | 2019-05-14T22:38:11 | 186,710,334 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,283 | py | section.py | from . import _BaseTimestampModel
from django.db import models
class Section(_BaseTimestampModel):
class Meta:
db_table = 'section'
unique_together = (('crn', 'semester', 'campus'),)
LEVEL_CHOICES = (
('UG', 'Undergrad'),
('GR', 'Graduate'),
('NC', 'NC'), # FIXME: Not... |
ab1d88f2ab5ff6cf775ce428cc9b5a9d142874b8 | b41a0f8346d44f9dc8ee4f904a4d8c8606c4680a | /main.py | dda10a96cfdd0d93171d737234915c7923d22710 | [] | no_license | ElkheirT/Data-Science-Final-Project | 74041cd7115b32e6974061b441547cb53ce6bdc6 | dcf2e095706d24cdcd2150bf7c444f7b9c5bbecd | refs/heads/main | 2023-02-08T06:25:22.199110 | 2020-12-15T14:55:40 | 2020-12-15T14:55:40 | 316,289,935 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,181 | py | main.py | import numpy as np
import pandas as pd
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.pipeline import make_pipeline
from sklearn.model_selection import cross_val_score
from sklearn import svm
from nltk.tokenize import RegexpTokenizer
from nltk.stem import WordNetLemmatizer
from SpellCheck impo... |
1b149ef9348c64fe73b26f48160ef31a0386a366 | d7fafa305f2aa34fd82be94acf657cb2e647d1be | /setup.py | 6292d2887a306ea0ef708e96098f73b1d1c03fb2 | [
"BSD-3-Clause"
] | permissive | russss/polybot | e4d95a957252b6372cbb134c927eeba75ef5ecb2 | d23e69f5894e9c2b45dc6f299298fd44d92ad85c | refs/heads/main | 2023-07-02T03:24:05.984909 | 2023-06-26T14:47:16 | 2023-06-26T14:47:16 | 87,641,636 | 38 | 8 | BSD-3-Clause | 2023-06-26T14:47:18 | 2017-04-08T14:56:28 | Python | UTF-8 | Python | false | false | 733 | py | setup.py | from setuptools import setup
from codecs import open
from os import path
here = path.abspath(path.dirname(__file__))
version = {}
with open(path.join(here, "polybot", "__init__.py")) as fp:
exec(fp.read(), version)
setup(
name="polybot",
version=version["__version__"],
description="Multi bot library"... |
9de61a11a42f79e789b9972768d6075a8e4c8121 | 97d469d6805f82a5fb84a7b8295ff89e100fce1e | /python/chapter1/1-2.py | bd6ed26878c682d427256dce1130b46b5d9171c7 | [] | no_license | Cammac7/CodingPractice | e729e046755e1a1d2f5df2c033b52a2c0df9b205 | 14c5cb743a1e422d856cf484736763d638be5b9c | refs/heads/master | 2021-05-06T23:14:00.409071 | 2018-03-31T16:02:31 | 2018-03-31T16:02:31 | 112,961,549 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 733 | py | 1-2.py | #Check Permutations
#Given two strings, write a method to decide if one is a permutation of the other
def checkPerms(A,B):
if len(A) != len(B):
return False
hashA = {}
hashB = {}
for char in A:
if char in hashA:
hashA[char] = hashA[char]+1
else:
hashA[cha... |
44bfab29837732fc70eef5bdebab26c0fe35d5ca | 449e20e9c87a49b6cea186f5cbedc173879b34d4 | /暴力递归与动态规划/1阶2阶爬楼梯.py | 15ce3a4ca10a76d2e02f9ddd5e7455a21ca87847 | [] | no_license | tanlangqie/coding | ef5f8f18476407519d10303636e8752addfc6626 | 9e981e897ab8b88cacfb8d4ad094fc6f8eb32ffd | refs/heads/main | 2023-07-03T06:41:16.887063 | 2021-08-11T02:21:52 | 2021-08-11T02:21:52 | 355,018,066 | 0 | 0 | null | 2021-08-11T02:21:53 | 2021-04-06T01:14:58 | Python | UTF-8 | Python | false | false | 938 | py | 1阶2阶爬楼梯.py | #题目假设你正在爬楼梯。需要 n 阶你才能到达楼顶。每次你可以爬 1 或 2 个台阶。你有多少种不同的方法可以爬到楼顶呢？注意：给定 n 是一个正整数。
# 原题：https://leetcode-cn.com/problems/climbing-stairs/
#递归
class Solution:
def climbStairs(self, n: int) -> int:
def fun(n):
if n <= 1:
return n
if n == 2:
return 2
... |
e28924b1a26132f65ffffd12d248a267d3f89df2 | ec7e8942b3f17d188550e79923131e21271ac99f | /scripts/blender_demo.py | ac38309d23a5a9202e91400ef5d7cc1cae03ce60 | [
"MIT"
] | permissive | cheind/supershape | 3437ddb84a0efcd7e04ff10e3af8cd99ba0631d3 | 11904a41a6bb3c8c46d18572dff38d334fd94fa1 | refs/heads/master | 2023-02-28T05:02:50.876262 | 2021-01-31T08:51:57 | 2021-01-31T08:51:57 | 285,281,023 | 16 | 0 | null | null | null | null | UTF-8 | Python | false | false | 309 | py | blender_demo.py | import bpy
import supershape as sshape
# Remove default cube
bpy.data.objects.remove(bpy.data.objects['Cube'], do_unlink=True)
# Generate supershape
shape = (100, 100)
obj = sshape.make_bpy_mesh(shape, weld=True)
x, y, z = sshape.supercoords(sshape.FLOWER, shape=shape)
sshape.update_bpy_mesh(x, y, z, obj)
|
bad04121f05d6440cf095405e7002774ec01c73d | 9f9f39bc878719956c93093eeaef685c17bdd26c | /Trees/Binary_Search_Tree.py | 7c6ec897b310a1dd58eadbc42dc11d7bc84b2ec4 | [] | no_license | Jerry-Tse/Algorithms_Implementations | af00d228066d1dc97da017ae52c0803c67ccacb3 | b529bde234adebfff9b8cfc0f873eeaefbcad87c | refs/heads/master | 2022-08-22T14:05:36.628560 | 2020-05-24T15:04:35 | 2020-05-24T15:04:35 | 264,480,008 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,901 | py | Binary_Search_Tree.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Mar 8 17:16:46 2020
@author: jerry
Hint:
1. Decide the data structure you want to be node or pure value
"""
class Node(object):
def __init__(self, value):
self.value = value
self.left = None
self.right = None
class BS... |
c480bfc4bf41bd493c09471c9e257e4132c97c56 | 111c510c8d2ff4995d4cea791431d8d321823ae8 | /query_mysql.py | 1b4f365c88f2a2e7094bdf55fef6c3ee5cc76ba7 | [] | no_license | kellon-1/python | b34f8b7ca39071e786f50c52717e8c2d79894aee | 74176d98cf6f620ae92c3a6b50c3a2200782c174 | refs/heads/master | 2020-04-08T11:29:53.620701 | 2018-12-11T05:30:39 | 2018-12-11T05:30:39 | 159,308,154 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,193 | py | query_mysql.py | #!/usr/bin/env python3
# _*_coding:utf8_*_
from dbconn import Departments,Salary,Employees,Session
from sqlalchemy import and_,or_
session = Session()
# order_by 排序
# qset = session.query(Departments).order_by(Departments.dep_id) #排序
# print(qset) #qset 此时只是一条SQL语句
# for dep in qset: #向qset取值时,返回一个个实例
# # prin... |
e4fff3d28977d93b7554daeba799df0a9740b568 | 214d877932102d40e3c0ace82df7558cfb42b0d1 | /Problem Sets/PS3e_m.py | 7ca2d09915d8d6cd61884b64acaefc27508c417f | [] | no_license | Pythones/MITx_6.00.1x | 06b57ec2fb54aa277397c31073e94725b55bc9d7 | 93c0415f551e85bdab9c4833d842b554532ca8fa | refs/heads/master | 2016-09-05T19:43:57.429488 | 2014-04-17T10:55:05 | 2014-04-17T10:55:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,966 | py | PS3e_m.py | #secretWord = "locos"
import random
import string
WORDLIST_FILENAME = "words.txt"
def loadWords():
"""
Returns a list of valid words. Words are strings of lowercase letters.
Depending on the size of the word list, this function may
take a while to finish.
"""
print "Loading word list from fi... |
cbdd3f4a23217b4057b4c68bc491efa76724d444 | a3aba8ff242f7c8866f215f46793a0e34e9700b7 | /miniprojet.py | 8f12e8ee5bae2e4310e9d892f5db3b237749c1ed | [] | no_license | Moustaschbil/BirdRecognition | 35a222ecbf55687ceb3f5d69f7d9799572efe161 | 98c35ad5c8b9883427544482ab808b493b381092 | refs/heads/main | 2023-03-30T07:15:36.224464 | 2021-04-04T21:32:31 | 2021-04-04T21:32:31 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,303 | py | miniprojet.py | import keras
from keras.layers import Input, Dense, Flatten, Dropout
from keras.models import Model
from keras.optimizers import Adam
from PIL import Image
import numpy as np
#variables globales
tab_class = ["ALEXANDRINE PARAKEET", "ANTBIRD", "AFRICAN FIREFINCH", "EASTERN MEADOWLARK", "HOUSE FINCH", "SNOWY OWL"]
nb_c... |
32822a5fd89aea1461f0141609052612b4aa755b | 9ae0eec7fe551ff146ab5c2d3bd11028347e1f6c | /sutils/test/_testenv.py | 9e388ce9c270f4343e589f119c33eb482adb8f12 | [
"MIT"
] | permissive | t-mertz/slurm_utils | b2e5ab5259c48180de1dffe19326bc3014c3f914 | 6fc9709f62e2bca1387ea9c7a5975f0f0be5d0dd | refs/heads/master | 2021-07-15T20:54:37.660145 | 2021-03-01T17:13:27 | 2021-03-01T17:13:27 | 79,030,982 | 0 | 0 | MIT | 2018-10-24T13:11:30 | 2017-01-15T12:22:03 | Python | UTF-8 | Python | false | false | 657 | py | _testenv.py | class TestCase(object):
"""
Base class for tests.
"""
@classmethod
def run(cls):
"""
Runs all tests (methods which begin with 'test').
"""
#print(cls)
max_len = max([len(a) for a in cls.__dict__])
for key in cls.__dict__:
if key.startswith... |
00126145707f440d6de5670f5795383e24d74e7e | 3be28a6eb2ad49fba9db38ab21a6a0b84f303d9e | /config.py | 1b5352d2c6dc8742dfda2453f0891b7f9f909fb5 | [
"MIT"
] | permissive | Adynatos/egida | 5bdc4b9f488fbe32e5801d57769b4f76bb5a97c4 | f34503228fbc153812c839f82cf8a4a96941150d | refs/heads/master | 2021-01-16T20:50:32.340503 | 2015-01-29T09:36:55 | 2015-01-29T09:36:55 | 13,098,777 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,198 | py | config.py | """
Configuration file
A collection of constans which define application settings:
DATABASE - location of database file.
DEBUG - debug mode
CSRF_ENABLED - cross site request forgery protection
SECRET_KEY - used to create cryptographic token, that is used to validate a
form.
SQLALCHEMY_DATABASE_URI - path to the datab... |
adb0b793fd775834cc8d7601737b7bd6117740d0 | f12c1a1017299a4ac84358fb6b12e06532581f9d | /collector.py | ad8f215f0289cc8c1258890f1cbb0f4f07e94127 | [] | no_license | PetarGenchev/DungeonAndPython | dc9c78f49eb57bbed2fe600cd2285a5f9cb36141 | bd16948f80edac36cc9580c10d0a5a62fdd804ea | refs/heads/master | 2021-01-19T00:26:45.741744 | 2016-12-26T07:53:06 | 2016-12-26T07:53:06 | 73,098,907 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,071 | py | collector.py | from treasure import Treasure
from enemy import Enemy
class Collector:
def __init__(self):
self.clear_data()
def clear_data(self):
self.spawn_cells = [] # list of lists with two coordinatess of a spawn cell
self.enemies = {} # dict with key - tuple of two indexes and value - Enemy
... |
0813aacfb0684298a12fbe956ce12fb0c1c6f9e9 | 18967d32298a0cc867dfd9145be5f3d4b7483c7d | /snippets/views.py | ce07551c5169004bf35933403de3a0919349ba02 | [
"MIT"
] | permissive | bergman2/evidence | d474ef939fd2a79410d93b4b80117cd479c08631 | be92dc3b2dca9cc3505b9e5b3b39292fe5cc152b | refs/heads/master | 2022-06-26T09:47:43.969802 | 2016-01-31T04:25:02 | 2016-01-31T04:39:51 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,617 | py | views.py | from django.shortcuts import render
from django.views.generic import ListView, CreateView, DetailView, UpdateView
from django.db.models import Q
from .models import Snippet
# Create your views here.
class SnippetListView(ListView):
model = Snippet
context_object_name = 'snippets'
template_name = 'snippet_l... |
88f64a674de7cf455a49c30889b7591915e3d623 | b7805d986c93323fca436bfa6b5a1c5d79d9b33d | /shuxiang/subshuxiang/downshuxiang.py | fe92644b026fd435a70bc588872b3677cd1c5046 | [] | no_license | gitchenping/code-essay | d9b39a9058e83577dc50d5024ad627ad3e9a1c23 | e8391121cb0842450a8aecaab6caad06bd742ff3 | refs/heads/master | 2021-06-14T08:04:45.683270 | 2021-05-10T03:36:13 | 2021-05-10T03:36:13 | 196,170,900 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 766 | py | downshuxiang.py | import requests
import time
import random
bookurl='http://shuxiang.chineseall.cn/v3/book/content/vXPgj/pdf/'
totalpage=161
cookies={'_Tvt5MJ89bV_':'D2EC06A3BF71EE91B2B1A3EC6EC3C33D37DAE10E4CCBD6F1B9B0C6CEBA9870A661A34AF09537213EB7BEE5A8A5C8A4580466BE1BCF9373DA21C655215BE0D4B1'}
headers={'User-Agent': 'Mozilla/5.0 (W... |
9b73b448004e22e777b1cd741b3406ba570b922e | 618c5deff28357db61a83a1201ccbcb84531485f | /aulas/guanabara/ex002.py | acdd75dfa7c69b3fc55c1315f9d80b369208efad | [] | no_license | uriassousa/python-fundamentals | 54b41199d1054d6fa4faefa34aa3d2df26834a0f | 1157a1633fd6337ced7f2ed6e9ebda523552d3a0 | refs/heads/master | 2022-08-02T23:55:45.286366 | 2020-03-01T00:25:48 | 2020-03-01T00:25:48 | 234,743,820 | 0 | 0 | null | 2022-06-22T00:53:46 | 2020-01-18T14:06:58 | Jupyter Notebook | UTF-8 | Python | false | false | 494 | py | ex002.py | # Programa para ler algo pelo teclado e mostre na
# tela o seu tipo primitivo e todas as informações possíveis sobre ela.
a = input('Digite algo: ')
print('O tipo primitivo desse valor é', type(a))
print('Só tem espaços? ', a.isspace())
print('É um número? ', a.isnumeric())
print('É alfabético? ',a.isalpha())
print('... |
48264d2b46b69f6d5fd6e6930e7f2c1cb398c75a | 69e2b0031d7c257f302ae5bdc8d7b362d703399e | /twitterscraper/scripts/tweetRetriever.py | 25a992164f5da6b7519167bf28e0bb1757dc1b89 | [] | no_license | ryee1/twittersearcherproject | c665ca680027cb39ac9ad37d8f1b081f426b2abb | 6379060eb6ec589ad9a4807943ea9590f798e46c | refs/heads/master | 2016-08-09T09:40:11.438520 | 2016-03-14T02:01:39 | 2016-03-14T02:01:39 | 49,610,131 | 1 | 2 | null | 2016-03-14T02:07:33 | 2016-01-13T23:55:05 | JavaScript | UTF-8 | Python | false | false | 931 | py | tweetRetriever.py | from twython import Twython
import time
APP_KEY = 'f1HlAsbabsoi3cr5EC3t1NzDH'
APP_SECRET = 'XSsoDYC4W1g2l3VUyU1vtTQ7SroB0olzDokpwD5CpgcRjMh715'
OAUTH_TOKEN = '4760974394-ThpCcbIXGznm51P9RO2jjSsDdjWs8PHYkALk1KD'
OAUTH_TOKEN_SECRET = 'DFkoR2HMhImpfhoTNc3T7WNItqpxfxaE0ciwrFJj500Sd'
twitter = Twython(APP_KEY, APP... |
c2f1357364f1b89a6b7075775dd6e6b81e546064 | 20e3010608e40a6ec5ea56f69d122a62182e4bdb | /types of data/tuple.py | 43e4f537bb452187bb5b53fb83fb8836a96b5192 | [] | no_license | LarisaOvchinnikova/Python | ee65eac221cd03563d60110118175692564c5b2d | 9cc86a260828662995dec59a6d69528f96d37e79 | refs/heads/master | 2021-08-22T21:41:02.351589 | 2021-05-25T18:37:09 | 2021-05-25T18:37:09 | 253,842,826 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 301 | py | tuple.py | # def func(*args):
# return sum(args)
#
# print(func(2, 4, 6))
def my_func(x, y, mul = 1, text = None, magic = False):
print(x)
print(y)
print(text)
print(my_func(y = 1, x = 10, text = "Hello"))
def my_func1(*args):
print(args)
print(*args)
print(my_func1(1,2,3,4,5,6))
|
cf0fd54fc29f9e07a50b628bfb507830e0f564c2 | 7af2fff6024992bc09affb823c38fd07d0635e8c | /contacts/admin.py | a38da6195c110631cc03c9ce6c96e6bfa2f0a78b | [] | no_license | GolouHamady/Carzone | e1098cb23c72e1e42528c94c76eb1b630424eed4 | 6a0fe1d746e62fd6ae4168e8231f44df77d2dc8e | refs/heads/master | 2023-01-28T17:43:02.899029 | 2020-12-06T00:16:50 | 2020-12-06T00:16:50 | 318,916,331 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 469 | py | admin.py | from django.contrib import admin
from django.utils.html import format_html
from . models import Contact
# Register your models here.
class ContactAdmin(admin.ModelAdmin):
list_display = ('id', 'first_name', 'last_name', 'city', 'email', 'phone', 'create_date')
list_display_links = ('id', 'first_name')
list... |
d1f5d63673f69802b8065714b366f829e39daa67 | 8d9008f378deb041771c17f380b54c2c0d1d85bc | /source_code/1331. 数组序号转换/mine_v1.py | 05d481eefb7532ffab963adb4c37c58617db01f7 | [] | no_license | kavin525zhang/leetcode | b2fc73fe710f6fdf3637d12218ed0bb21bab00bf | 8de38466f286d7c2e73ddaac5d5dae5444cc1e4c | refs/heads/main | 2023-06-27T20:30:44.252386 | 2021-08-05T14:09:24 | 2021-08-05T14:09:24 | 391,509,569 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 510 | py | mine_v1.py | from typing import List
class Solution:
def arrayRankTransform(self, arr: List[int]) -> List[int]:
arr_sort = sorted(arr)
num_index = {}
for num in arr_sort:
if num not in num_index:
num_index[num] = len(num_index) + 1
results = []
for num in arr... |
0b191fedd41d1d83680f3797ecf33f6babfc7142 | d0041cbd074b1211bf9764e16ba76d4ef7f44e75 | /SNAKE_GAME/SNAKE_GAME.py | b5fe84c96f2cafd9ff4d3aebce40a89a403dee50 | [] | no_license | sharozraees802/Data_Structure-python- | dab9135faaa71146d22e4eca21dca09ec4e0afe8 | a77ea39eb1680c920052add735a9d9b377e1b985 | refs/heads/master | 2022-12-06T12:49:09.300127 | 2020-01-07T12:46:14 | 2020-01-07T12:46:14 | 232,320,833 | 1 | 1 | null | 2022-11-23T15:13:03 | 2020-01-07T12:33:05 | Python | UTF-8 | Python | false | false | 3,961 | py | SNAKE_GAME.py | import turtle
import time
import random
delay = 0.3
#score
score=0
high_score=0
#set up the screen
wn = turtle.Screen()
wn.title("Snake Game")
wn.bgcolor("white")
wn.setup(width=500,height=500)
wn.tracer(0)
#snake head
head=turtle.Turtle()
head.speed(0)
head.shape("square")
head.color("black")
head.penup()
head.g... |
6f8384ba0110f28f00c1a6efbf3d04796cbdb3b3 | 0b16bb75aae961aad2cf20a830f8f733c72b386f | /animals/models.py | 61b4741a845dd3398983277af276507402e09743 | [] | no_license | extrakun/django-shelter | 2b5b5db57cc37f3d6b8642943743576484627eac | a99efc757c8e599db342794da49272ee27dcfb79 | refs/heads/master | 2020-05-22T22:14:44.735164 | 2019-05-14T08:43:35 | 2019-05-14T08:43:35 | 186,542,414 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 815 | py | models.py | from django.db import models
# Create your models here.
class AnimalType(models.Model):
name = models.CharField(blank=False, max_length=255)
def __str__(self):
return self.name
class Tag(models.Model):
name = models.CharField(blank=False, max_length=255)
def __str__(self):
re... |
f64f5c97f93f630d5b167600aeddd6c3fea94633 | 182078dc0ad76e38d31f85681bf8b845a80058c2 | /questions.py | a05ad3a75837453ddc69da6dca5446ccf742289f | [] | no_license | Dolinin2021/all-hw-lecture-10 | bd9be92ba84b09b866bd6632ac34623b2670def2 | 34e7a3aaf7f5bf102710877772134535c42e368a | refs/heads/master | 2023-08-17T04:10:11.773783 | 2021-10-06T12:07:10 | 2021-10-06T12:07:10 | 414,107,319 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 423 | py | questions.py | from pprint import pprint
from datetime import date, timedelta
import requests
def get_questions():
today = date.today()
day_before_yesterday = today - timedelta(days=2)
url = f'https://api.stackexchange.com/2.3/questions?fromdate={day_before_yesterday}' \
f'&todate={today}&order=desc&sort=a... |
7a5f11242e15d36490bb84db70f1509b74199197 | 55c250525bd7198ac905b1f2f86d16a44f73e03a | /Python/Flask/Book_evaluator/venv/Lib/site-packages/sqlalchemy/sql/operators.py | 9c95212c5ba61d750cef208b1085a19688a6c3aa | [] | no_license | NateWeiler/Resources | 213d18ba86f7cc9d845741b8571b9e2c2c6be916 | bd4a8a82a3e83a381c97d19e5df42cbababfc66c | refs/heads/master | 2023-09-03T17:50:31.937137 | 2023-08-28T23:50:57 | 2023-08-28T23:50:57 | 267,368,545 | 2 | 1 | null | 2022-09-08T15:20:18 | 2020-05-27T16:18:17 | null | UTF-8 | Python | false | false | 130 | py | operators.py | version https://git-lfs.github.com/spec/v1
oid sha256:46e4ddb6bf1507fdf80ac3c7d554ee0e34dfd229a32ce491864ed27362aff495
size 39449
|
fa0fbe5ee21c4d413aa8138d500296dffbb6d1c9 | bdde18f1ff149df2f188dfd56ef5e2e83063cbd6 | /others/giving_cards/handing_cards.py | 45d7adedd9b2db77b831763dd6bf5e1e3a8af9ea | [] | no_license | Gusstr/Pcalc | 6b42dbc52d310ebe7c42436cefd5c659e876e5da | 7985bd519c95952f268ee08bceef637070868877 | refs/heads/master | 2021-01-02T03:12:19.614422 | 2020-05-18T08:06:59 | 2020-05-18T08:06:59 | 239,466,701 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,125 | py | handing_cards.py | import random
def player_card_giver(card1, card2,):
cards = [["h2", "d2", "c2", "s2"],
["h3", "d3", "c3", "s3"],
["h4", "d4", "c4", "s4"],
["h5", "d5", "c5", "s5"],
["h6", "d6", "c6", "s6"],
["h7", "d7", "c7", "s7"],
["h8", "d8", "c8", "s8"],... |
e2fd3932c8b74a6b2b553a2c46e42d46057125d5 | 6336899aeaed7edd2fdc0a9f08d6e5eba4dd9490 | /Chapter 1 - Arrays and Strings/question_7.py | 7495e5a318f1c9e6ba6a547277f59aaa9e386194 | [] | no_license | dharness/ctci | f577e64e7c0c728fe784f0f9dd9de62faaa67777 | 53ffecc0385d208bf7aaa9fed9326d0397798ffb | refs/heads/master | 2020-09-22T07:58:57.766064 | 2016-08-28T05:37:11 | 2016-08-28T05:37:11 | 66,523,989 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 652 | py | question_7.py | # Write an algorithm such that if an element in an MxN matrix is 0, its entire row
# and column are set to 0.
def minesweeper(m):
mines = {'xs': [], 'ys': []}
for y, row in enumerate(m):
for x, el in enumerate(row):
if(el == 0):
mines['xs'].append(x)
mines['ys'].append(y)
for y, row in... |
e18ba9c7fd2b33fbc57d533a02994e6a933d4e6c | db0436b21dd275ae86783961be3d9dbc3e6ae6e5 | /search_bible_3.0/searchbible/utils/indexifier/bible_names.py | bffe65c15124a44265147a7809bcf6c828475b44 | [] | no_license | K021/search_bible | 885fb1a5b17626772d4add217cb003255726fcc7 | abeee2310ad178951ba1744c31aff9dc4333531a | refs/heads/master | 2022-12-18T00:04:02.996988 | 2020-09-18T17:06:46 | 2020-09-18T17:06:46 | 111,206,583 | 0 | 0 | null | 2020-08-20T04:25:47 | 2017-11-18T13:11:23 | Python | UTF-8 | Python | false | false | 8,123 | py | bible_names.py | GENESIS_FULL = 'Genesis'
EXODUS_FULL = 'Exodus'
LEVITICUS_FULL = 'Leviticus'
NUMBERS_FULL = 'Numbers'
DEUTERONOMY_FULL = 'Deuteronomy'
JOSHUA_FULL = 'Joshua'
JUDGES_FULL = 'Judges'
RUTH_FULL = 'Ruth'
SAMUEL_1_FULL = '1 Samuel'
SAMUEL_2_FULL = '2 Samuel'
KINGS_1_FULL = '1 Kings'
KINGS_2_FULL = '2 Kings'
CHRONICLES_1_FUL... |
11588a7eca91fa2a83163a6d1918d5d97fbb0b83 | 1605218aab212a6d1e0ff2cfc9fc3e72f49378c9 | /venv/lib/python2.7/site-packages/scopus/affiliation_search.py | 9d73d1f7ab20d58a8f8eef4e379c2fcecd2acfbe | [
"MIT"
] | permissive | LeoFuchs/Masters | 2b2c4f5d8e4f15c2c46458b51033dff92a5b8fd0 | 25453fe8d538ac07b362307a5d6ab83e6f353d87 | refs/heads/master | 2020-03-27T15:56:03.639534 | 2019-12-20T15:51:48 | 2019-12-20T15:51:48 | 146,748,741 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,779 | py | affiliation_search.py | from collections import namedtuple
from scopus.classes import Search
class AffiliationSearch(Search):
@property
def affiliations(self):
"""A list of namedtuples storing affiliation information,
where each namedtuple corresponds to one affiliation.
The information in each namedtuple is... |
e098b1610b30df2fbb0af33dc4a255fda2caa4a8 | 8c073009e91a687381c1c34fe17858a195063072 | /testcase/test01_mingwen.py | c4d986064efbbabf2ed3ca059505e91ffbe253cc | [] | no_license | yiqia575/learn_21day_project | 25528fbe9cf7702ba4372b0244742fc4e7d6932f | 1e1e7f29d3cdd4551bef8299e7d5bd93716be027 | refs/heads/master | 2023-03-29T06:15:10.947413 | 2021-04-02T06:20:04 | 2021-04-02T06:20:04 | 353,923,668 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,785 | py | test01_mingwen.py | # -*- encoding: utf-8 -*-
"""
================================
@File : test01_mingwen.py
@Time : 2021/3/24 16:48
@Author : 测试工程师：刘坤
@Email : 609127365@qq.com
@Software: PyCharm
================================
"""
import unittest
from common import test_ddt as ddt
from common.handle_excel import Excel
from com... |
ac6ae0d793d440d0ea4924b5b74e08c8cdd0bca2 | 064b3d706dea02273d090c4ea833754806fad06b | /aruco/aruco_detection.py | f8e336e6a2d09cc33f4e0e6acf7980da74898db3 | [
"MIT"
] | permissive | JacopoOrlandini/blockly-turtle | 91bde73775bb5ac5f8fcc24ac0eaf5810de640db | 4a554bfea4ea8b8b22da4116697dcc091d6fbda5 | refs/heads/master | 2020-08-12T03:12:34.637595 | 2019-10-12T16:22:13 | 2019-10-12T16:22:13 | 214,677,633 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,894 | py | aruco_detection.py | import os
import sys
import cv2
import numpy as np
import tensorflow as tf
# class definition
class Marker:
def __init__(self, marker_id, corners, key, value):
self.id = marker_id
self.value = value
self.corners = corners
self.key = key
#######################... |
2f2d69646b304bf50a61c852494d21c8b34e8758 | 92f581c64b4ae46644202223af8d82fa3ca1265e | /drawing.py | 89e421c1267598d36302e7a9520df7f71c18795a | [] | no_license | jahasiel-serna/perceptron | 7557d2ef4069635e4c658e83450e20b377a9dc59 | 85d5ef968ec3f0854628ea99c11ade2b83a4630d | refs/heads/master | 2022-12-22T17:15:24.638753 | 2020-09-25T23:40:49 | 2020-09-25T23:40:49 | 298,675,796 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 612 | py | drawing.py | import matplotlib.pyplot as plt
class Draw:
def __init__(self, xlim, ylim, title=''):
plt.title(title)
plt.xlim(xlim)
plt.ylim(ylim)
def drawNeuron(self, model):
w1, w2, b = model.w[0], model.w[1], model.b
X = [-2, 2]
Y = [(1/w2)*(-w1*X[0]-b), (1/w2)*(-w1*X[1]-b... |
962f7b8b732e88a873409c745c1895df4b48ee8f | 0a4d57d43313acd4781fdf02a1efa4e1aac474ce | /tools/test/topos/vpls.py | 35e593ba44f21607757e837067aac1dcf0022595 | [
"Apache-2.0"
] | permissive | maxchung2001/onos | fb3a8c068b8ed01ddd4377c4f2a6a39fe1dbd779 | 1f72203ec291b91de3fed148cff34be70b1536b1 | refs/heads/master | 2020-06-14T01:57:58.862655 | 2016-12-03T21:56:50 | 2016-12-03T22:02:41 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,844 | py | vpls.py | #!/usr/bin/env python
from mininet.cli import CLI
from mininet.node import Link, Host
from mininet.net import Mininet
from mininet.node import RemoteController
from mininet.term import makeTerm
from mininet.topo import Topo
from functools import partial
class VLANHost( Host ):
"Host connected to VLAN interface"
... |
2b10bc92d12d171cf9e0e704e9f245d55341e50b | d45098805f04ebf2a3e00bec8711b9ddaa55478c | /ext/gform.py | 276c9ff891234ff873cf8af39d5c1e05855f8859 | [] | no_license | RainbowLegend/aerobot | 713e5c034bcd4a409a6c6b44bde840d4346c7145 | c6801a2b6852f18ab2b9085a27f30173758a2f6c | refs/heads/master | 2023-08-25T17:01:51.741430 | 2021-10-31T18:53:14 | 2021-10-31T18:53:14 | 123,493,882 | 3 | 8 | null | 2021-10-31T18:53:15 | 2018-03-01T21:22:18 | Python | UTF-8 | Python | false | false | 1,085 | py | gform.py | import uuid
import json
from discord.ext import commands
class FormValidator(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.command(name="contestvote")
async def form_validation(self, ctx):
FORM_LINK = "https://docs.google.com/forms/d/e/1FAIpQLSeNjEFFuXI2k4-K1Bn6r4dvjxEl... |
4a11b2027619cd699735103ba9e5083d52209175 | 1fe06c02580654d022a79cc5db2dbc74c0fdd1b7 | /app/views.py | c4fa4c735ea45910f86a6f716a0c61fdb0a538eb | [] | no_license | gustavo-ifpb/aula-flask | 8be1b50ddbee69fe5d914b0f00650540caf6e6b6 | fc635cb3d3837380c536b1e86046f4cb584284f1 | refs/heads/master | 2020-05-18T00:20:22.397528 | 2019-05-28T13:26:25 | 2019-05-28T13:26:25 | 184,057,878 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,695 | py | views.py | import psycopg2, psycopg2.extras
from flask import g, render_template, request, redirect, url_for, session
from app import app
# ~~~~
@app.before_request
def before_request():
g.db = psycopg2.connect('dbname=twitter user=guga password=gugasv host=127.0.0.1')
@app.teardown_request
def teardown_request(exception)... |
b039ed74e62f3a74e8506d4e14a3422499046c06 | 19dde4f0556b008a1bef85e2432f116e852c3ce1 | /pych/ecco/plot_2d.py | 64cbf932b7448e92aebeaed4ece482c03012df1b | [
"MIT"
] | permissive | timothyas/pych | 7dc87b0ffd8a63cad04432ca55da40486812134b | 12a872b3e0934ad6d5414a3e8abe119697a64307 | refs/heads/master | 2022-04-29T16:51:25.774367 | 2022-03-24T01:17:38 | 2022-03-24T01:17:38 | 178,424,249 | 0 | 0 | MIT | 2021-03-21T20:54:19 | 2019-03-29T14:51:08 | Python | UTF-8 | Python | false | false | 8,181 | py | plot_2d.py | """
Module for generic standard analysis plots.
"""
import numpy as np
import matplotlib.pyplot as plt
import cartopy as cart
import xarray as xr
import ecco_v4_py as ecco
def global_and_stereo_map(lat, lon, fld,
plot_type='pcolormesh',
cmap='YlOrRd',
... |
bf6d1ddf66bc0d54320c0491e344925a5f507df7 | bf4fb95c4de7f6ff3f3a191b2cae05748ee260e5 | /meshmixer_scripts/import_stl_models.py | 51785f7edd04149b561566f1fccf5b2bc229f32e | [] | no_license | BBK-PiJ-2015-87/blender_scripts | 9a755820386c33255522e1da1ecbb763964b265b | 30df82758f16e4ec88dc134f846c28c91861966a | refs/heads/master | 2021-01-09T23:36:25.422109 | 2016-11-09T15:07:34 | 2016-11-09T15:07:34 | 73,210,570 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 619 | py | import_stl_models.py | import os
import sys
sys.path.insert(0, "/path/to/mm-api/python")
sys.path.insert(0, "/path/to/mm-api/distrib/python_osx")
print(sys.path)
import mmapi
from mmRemote import *
import mm;
# assumption: we are running
examples_dir = "/dir/of/models/"
part_filename1 = os.path.join( examples_dir, "model1.stl" )
part_file... |
28854823b1edc7df6cf025175811c1858efd2c42 | 5996dac6d6e5e5e84b95ac9d96456bd035a5e7e0 | /openhumans_seeq/migrations/0001_initial.py | b515f1f25e3d715599dc5a8c54f5c0b0c85f9c23 | [
"MIT"
] | permissive | OpenHumans/openhumans-seeq | be7b64212775c6152cd2cbe8c62199c7c55c22d8 | 1c9959bc2a31a16d27f3c7a7c903c8b1f8a3a7c7 | refs/heads/master | 2020-12-02T19:38:47.486322 | 2017-05-15T17:32:23 | 2017-05-15T17:32:23 | 96,370,286 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 751 | py | 0001_initial.py | # -*- coding: utf-8 -*-
# Generated by Django 1.10.4 on 2016-12-19 15:25
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='OpenHu... |
e3665141397d52877242463d548c059272d13536 | 363b28c136b2d158aa31f45c707e3e2872e420b5 | /scripts/convert-vocab.py | cdb0e80a9f4c607fb00a1ed68f39a049c7760452 | [
"MIT"
] | permissive | geovedi/nmt-playground | f297282d53d2e555a437e24f35ec23f5fe2104a6 | 99dc04f85eade643409970b16c77697b7d3138e9 | refs/heads/master | 2021-01-20T03:00:25.143265 | 2017-07-03T17:54:54 | 2017-07-03T17:54:54 | 89,478,769 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 466 | py | convert-vocab.py | #!/usr/bin/env python3
import io
import json
import fire
from collections import OrderedDict
def main(input, output):
vocab = OrderedDict({'</s>': 0, '<unk>': 1})
for line in io.open(input, 'r', encoding='utf-8'):
word, count = line.strip().split()
vocab[word] = len(vocab)
with io.open(ou... |
25ff54a969651d365de33f2420c662518dd63738 | d4cf9ee252f39e46f031d738472c238863259de4 | /src/CoinPredictor.py | ba9aa8658def8eda49abd9f3440fa4f29a0e3b89 | [] | no_license | Amaziner01/CoinPredictor | af646226c027c5565192af3dac7c5b93d17fd663 | 8e0945c0f752eceea68a0fa05e46284d095d3a9f | refs/heads/master | 2021-07-08T16:03:47.815040 | 2021-04-23T12:16:07 | 2021-04-23T12:16:07 | 240,349,017 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,291 | py | CoinPredictor.py | import json
import random
from time import sleep
url = "data/data.json"
def loop(run_state):
error = 1
simulations = 1
while run:
error_margin = str((error/simulations) * 100) + "%"
prediction = get_prediction()
print("Prediction: %s" % prediction)
print("Error Margin: %... |
73d7b1895282df5b744d8c03ec7e6f8530366b76 | 5347e2335c1d0e967a1b33d9f6f827d0bdaacaa7 | /SVM_yuce.py | 8cdf98b48ac2a6804127847bc07e87830534f735 | [] | no_license | jiazd000/SVM | 50eadfa7ca4ea3c9bbdc792f1869147e916c3c88 | bf7dd7f267353d2c2d1e049d3c8573dd8713e11e | refs/heads/master | 2020-03-28T10:48:10.507467 | 2018-09-10T11:42:27 | 2018-09-10T11:42:27 | 148,146,392 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 976 | py | SVM_yuce.py | # -*- coding: utf-8 -*-
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
from matplotlib.font_manager import FontProperties
from sklearn import svm
data=np.loadtxt('yucedata1.txt')
X=data[:,0]
y=data[:,1]
plt.figure(1,figsize=(8,6))
myfont = FontProperties(fname=r"c:\windo... |
f2cdee7e5eebaeeb784cb901c3ac6301e90ac7b9 | ea02a4c1466415a050684e7375dd255b212125e9 | /emailupdate/views.py | aee71a8b6102c49a640841b07fab2cd60a7315bc | [] | no_license | scotplum/inthenout | bb9cb12fd800d31501f7c5274d42759f990eab3e | 772f935396a7ada4e5e35000034f089606e01382 | refs/heads/master | 2020-05-26T22:15:07.519560 | 2017-05-23T04:15:06 | 2017-05-23T04:15:06 | 82,509,502 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 645 | py | views.py | from django.shortcuts import render, get_object_or_404, redirect
#from emailupdate.forms import emailupdate_form
from forms import EmailForm
from django.utils import timezone
def index(request):
if request.method == "POST":
form = EmailForm(request.POST)
if form.is_valid():
post = form.save(commit=False)
po... |
18dae039f6455f944cbaa97bcb9c36ed29ac9a21 | 28dd0a85ee875521e98b515c25171623d834d955 | /taxfunding.py | b986c934a24dae4275a73add1beab1b0605568ec | [
"MIT"
] | permissive | gehilley/KMESTaxScrape | 695c0d84783ddff49525b4d006b569de19de1bd4 | 1cf85049b6d2a5fbd532107fbe44f61197ac3263 | refs/heads/master | 2020-08-24T00:39:39.871111 | 2020-03-24T13:10:12 | 2020-03-24T13:10:12 | 216,733,763 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,272 | py | taxfunding.py | incremental_factors_file = '../2019_2020_IncrementalFactorsList.csv'
tax_pickle_for_apns = 'kmes_taxes.p'
tax_history_pickle = '../cusd_1percent_tax_history.p'
distribution_pickle_out = 'kmes_distribution.p'
cabrillo_key = 50200
def read_incremental_factors():
import csv
inc_file = open(incremental_factors_fil... |
860f77b031c815df40a16669dae8d32af4afa5bf | ddb11d89fdcd04141a68ab0508f6ac26eeb49a72 | /app.py | 70c48a11722d2157fb5ffc39dde357129923570e | [] | no_license | prem-narain/file_converter | 0b9205010fe72c9d8aec91e16ddec7b870e07e3e | 8ffd8737ec6c809fb48fb544c5075a80485c0d1f | refs/heads/master | 2022-12-11T00:51:49.948705 | 2018-03-18T19:51:35 | 2018-03-18T19:51:35 | 125,759,734 | 0 | 1 | null | 2022-12-08T00:55:48 | 2018-03-18T19:24:37 | HTML | UTF-8 | Python | false | false | 2,953 | py | app.py | from flask import Flask, jsonify, request, render_template
from werkzeug import secure_filename
import os
from utils import allowed_file, convert_html_to_pdf, convert_doc_to_pdf
app = Flask(__name__)
@app.route('/', methods=['GET'])
def index():
""" Renders Index.html """
try:
return render_template... |
f080191fec4e56adc4013da74c840817e88caf56 | e19f9a72571fc4c7d71a01e4f65f236110d38d29 | /auth/spotify.py | 22c2b800232a8fe9563af6c8d9b04a529c00893f | [] | no_license | Live-Lyrics/live-lyrics | 1d8473a3e0fd3230ef69ddebfa8645cc5e16d6b3 | 3ed49188bfe5b473668a2e21a6d8c2a66d5f93cf | refs/heads/master | 2021-06-09T15:12:17.176579 | 2018-11-30T15:05:12 | 2018-11-30T15:05:12 | 133,699,146 | 2 | 0 | null | 2021-03-31T18:56:46 | 2018-05-16T17:07:00 | Python | UTF-8 | Python | false | false | 3,143 | py | spotify.py | import os
import base64
from urllib.parse import urlencode
import json
from flask import Blueprint, request, redirect, jsonify, make_response
import requests
spotify = Blueprint('spotify', __name__)
# Client Keys
SPOTIFY_CLIENT_ID = os.environ.get('SPOTIFY_CLIENT_ID')
SPOTIFY_CLIENT_SECRET = os.environ.get('SPOTIFY... |
e8e024ad94fc54455a541eaa601077859e9578a4 | 2d5b226696b84548b215c0ebec6f396caadc6804 | /app/models.py | f4b54ad45df2b7d6a74a9f3318a4092679670217 | [] | no_license | Chandeesh03/healthystem | 452c36811067fe2b91ec187d70f627403d6660f4 | 320428e1c5904408b83dd5e6aa89e69637f27a79 | refs/heads/main | 2023-06-04T09:54:00.737405 | 2021-06-17T17:25:31 | 2021-06-17T17:25:31 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 225 | py | models.py | from django.db import models
class Patient(models.Model):
name = models.CharField(max_length=100)
email = models.EmailField(max_length=50, unique=True)
password = models.CharField(max_length=30)
|
9cee081a1592f960c2f4b9fe6f4d7f1f03788280 | 3553348054a4e338c829786c912434795502fd72 | /books/adapters/fork_book_repo.py | b2e6b71e8398380e62524d418179263ff0b4b24d | [] | no_license | LowerDeez/hexagonal-django | a244216b6b798f8a541816c4608556b4f493edfd | 5b7b453101cce1216d2e7a8811280bb608db8501 | refs/heads/master | 2023-05-23T01:55:12.185884 | 2020-08-31T07:18:27 | 2020-08-31T07:18:27 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,050 | py | fork_book_repo.py | import attr
from ..interfaces.book_repo import BookRepoInterface
@attr.s
class ForkRepo(BookRepoInterface):
main_repo = attr.ib()
other_repo = attr.ib()
def add_book(self, book):
the_id = self.main_repo.add_book(book)
book.id = the_id
self.other_repo.add_book(book)
return... |
39e7ddf684efa5d6294b22718de91524c552e92d | 50cf1ec6ce96d72b907745c5a5df06bae9ce3dad | /mywebsiteapp/migrations/0004_auto_20200815_1129.py | 00e29ffb93923cf45152dbff06b350092bd99f10 | [] | no_license | Jeyasuriya1998/SuriyaWebsite | a947f49b3c7dbc9bf575afe21df03dae9f0b0b46 | 9f64c85c4a63e0bf772a9a4549d8436e5498aafd | refs/heads/master | 2022-12-02T00:34:48.222512 | 2020-08-19T05:42:04 | 2020-08-19T05:42:04 | 288,473,530 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 568 | py | 0004_auto_20200815_1129.py | # Generated by Django 3.0.3 on 2020-08-15 05:59
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('mywebsiteapp', '0003_auto_20200814_0922'),
]
operations = [
migrations.AddField(
model_name='achievements',
name='pd... |
19ad35560d7cb10e67f7aecc6c8d38e5c59d1eb0 | 7ac43f018756573e12eb49ec55ed854fb5f9d2b1 | /TEST_2b/Analysis/read.py | 42f97c3084d5326c59c7031ac37dd0b3017e3754 | [
"MIT"
] | permissive | dmalagarriga/PLoS_2015_segregation | 68d92965c1db5f58a2e6b913e630d788bffad65f | 949afedf96945c11ee84b1a6c9842e5257fb5be8 | refs/heads/main | 2023-01-03T09:18:10.985981 | 2020-10-28T07:58:25 | 2020-10-28T07:58:25 | 307,944,255 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,358 | py | read.py | #!/usr/bin/python
import matplotlib
matplotlib.use('Agg')
from scipy import *
from pylab import *
from numpy import *
import glob
import os
from os.path import join as pjoin
import spectrum
#from matplotlib.backends.backend_pdf import PdfPages
def comparacio(a,b):
(Sepa,numa) = a.split('_')
(pa,exta) = num... |
14c31b878c1d98f9c9aaf50da076658afbb39c44 | d89550c4d87ae02a87fe8ec9593c1f83ce0aca92 | /getweather.py | 72ace2c5a9b6b59966d4ae5a39b9994efee34b73 | [] | no_license | joozin/initial | c86e26c2da43b627f849fd4588cd17b7895669e9 | 6d1874fe421f1dc9c27147717a30bd102d17eca0 | refs/heads/master | 2021-04-29T12:54:13.212612 | 2018-02-16T13:12:23 | 2018-02-16T13:12:23 | 121,739,242 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,056 | py | getweather.py | #!/usr/bin/env python
import pyowm
import os
# get variables values
api_key = os.environ['OPENWEATHER_API_KEY']
city = os.environ['CITY_NAME']
source = "openweathermap"
# access the API with functional KEY
owm = pyowm.OWM(API_key=api_key,version='2.5', config_module=None, language=None, subscription_type=Non... |
a1f103f740cc98461aac3fbb81e673e4ba30ad7e | 3356a969e91ac6ca731911b485abda03fd7b53b4 | /fila/servidor.py | fffe9c0559985d4eca17f9205c9e40a923aec16e | [] | no_license | marcos-antonio/mine-field | 4f393b050d80d91286a7c2f203771aaf6109f3d2 | 598726ffbed057bddb423aa054a87567b3e25f38 | refs/heads/master | 2020-07-12T12:00:13.060083 | 2019-11-24T17:52:56 | 2019-11-24T17:52:56 | 204,815,475 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,109 | py | servidor.py | import sys
sys.path.insert(1, '../')
import zmq
import time
import sys
import random
from minefield import MineField
try:
port = "5560"
ENCODE = "UTF-8"
context = zmq.Context()
socket = context.socket(zmq.REP)
socket.connect("tcp://localhost:%s" % port)
server_id = random.randrange(1,10005)
... |
e49e1c2cd542be83314a77bcf9d608ba6c424988 | 172369aee87445f129cbddcdbc716d8db47f1558 | /importJson/views.py | a02cb2d1c6885c9f64bbbbb78d5d89c0c4add78a | [] | no_license | daviddiz/analyticalls | 2deb947b78643c7610b17ea1fa6f08007a0307fd | 766b159bcb38308cb770050ac75cf178c4b397c1 | refs/heads/master | 2023-03-06T03:35:44.564643 | 2021-02-13T01:15:26 | 2021-02-13T01:15:26 | 338,303,393 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,120 | py | views.py | from django.shortcuts import render
from django.http.response import JsonResponse
from rest_framework.parsers import JSONParser
from rest_framework import status
from importJson.models import RetreivedData
from importJson.serializers import RetreivedDataSerializer
from rest_framework.decorators import api_view
@a... |
bfe211fb4a4a8a398c1398cc2d690818e18a7281 | be764f53070c9929767da0ee42f237fb279dc57e | /Max_partition.py | 38eba053e566c3e69fcdd9863a2e33f70117bbc6 | [] | no_license | xjsweet/Polygon-Partition | 43f55033543f0dae7d57896ab4ce26d06ac9ab32 | 678b1249eef4a587835a8a70fb8b150fe375466a | refs/heads/master | 2021-06-17T23:25:40.795116 | 2017-04-26T04:02:28 | 2017-04-26T04:02:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,406 | py | Max_partition.py | 'Please make sure that the INPUT is A CLOSED RECTILINEAR POLYGON,'
'CONSTRUCTED WHILE GOING IN ANTI-CLOCKWISE ONLY'
# importing libraries
import networkx as nx
import turtle
import matplotlib.pyplot as plt
import warnings
from networkx.algorithms import bipartite
import math
warnings.filterwarnings("ignore")
# declara... |
402dd6a18a2e0ff3c4918e89484455a489df340e | df5be231ff756ac8e3e0383076255c67466c16a4 | /draw_contours.py | ff4aeed7553833ea2859e2e8bd86f97190a6651a | [] | no_license | hernandezurbina/CVAdventures | 045e36d7d8066b1ff00a56f4299ebf5e5038cb04 | 998b4cde33aba63d26a6022616e71dd248b47418 | refs/heads/master | 2021-02-19T03:25:11.569574 | 2020-04-18T12:53:23 | 2020-04-18T12:53:23 | 245,272,702 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 643 | py | draw_contours.py | import cv2
import numpy as np
"""
The code here might help to improve
detection in the parquimetros dataset!
Look at the contours in the characters!
"""
img_path = 'Parquimetros/2018-12-22 17.27.43.jpg'
img = cv2.imread(img_path)
img = cv2.resize(img, (512, 512))
imgGray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
ret,... |
c3489b048ddbbe8d5afbdb31a463574fbf5dba75 | 73f69adf4e744751933725075c447e7d2d8df813 | /talk/src/base.py | 576c6b180922c3460e3441dd3266a7819064cd63 | [
"MIT"
] | permissive | rmariano/Clean-code-in-Python | 5b6c89816e75ac18dfbbeb5210edb57cda9a910b | 0cc2e3d79f996dfdda3dfbdf575cb3b9c492cefa | refs/heads/main | 2023-08-17T09:23:45.471046 | 2023-08-15T18:18:01 | 2023-08-15T18:18:01 | 63,787,233 | 156 | 31 | MIT | 2023-09-11T11:32:05 | 2016-07-20T14:17:05 | Python | UTF-8 | Python | false | false | 2,833 | py | base.py | import logging
from enum import Enum
from collections import namedtuple
logger = logging.getLogger(__name__)
class DBCursor:
def __init__(self):
self._calls = []
def execute(self, command):
self._calls.append(command)
###############################
def run(*ars):
print(ars)
def st... |
9d21594ed86583fc7166caa54ffb3f82a71e51af | 8a8aab35ab2e477dccc6545d32bdb83afe1a7f23 | /tdascraper.py | c66693074a67a2c495a32c770e42e25f0067d226 | [] | no_license | DerTarchin/deltapoint-scraper | 2c06576f37bb10fae3bef7360852989670107e22 | a6e8f1b52cf33a862a09ccab41b5286cfc628aca | refs/heads/master | 2021-06-06T13:10:00.373649 | 2021-01-15T15:04:45 | 2021-01-15T15:04:45 | 147,762,025 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,244 | py | tdascraper.py | from datetime import datetime
from iexfinance.stocks import Stock
from bs4 import BeautifulSoup
import requests
import json
import tdapi
import os
KIBOT_LOGIN = "http://api.kibot.com/?action=login&user=guest&password=guest"
# KIBOT_STOCK = "http://api.kibot.com/?action=history&symbol=<SYMBOL>&interval=daily&startdate=... |
6bbe50765fb762c2c7e775ea36da07f2d798d3ff | d55482531c5ebe72221b56600191509dd61f7975 | /Back/api/migrations/0027_remove_magazine_portion.py | f4688991de87ccfa0e543330055de25c358f6cb5 | [] | no_license | aseke7182/DarDemo | a16d059d5089ead3b982a4b36656619bd1ff6810 | bd34d6ecd838f58c18368b137ccc7af1449a212b | refs/heads/master | 2022-03-22T12:31:03.210866 | 2020-06-24T13:28:14 | 2020-06-24T13:28:14 | 187,693,699 | 0 | 1 | null | 2022-02-26T11:27:13 | 2019-05-20T18:31:29 | Python | UTF-8 | Python | false | false | 327 | py | 0027_remove_magazine_portion.py | # Generated by Django 2.2.1 on 2019-05-28 12:50
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('api', '0026_auto_20190528_1831'),
]
operations = [
migrations.RemoveField(
model_name='magazine',
name='portion',
),... |
de39f868bc6efc4cf8cd8e2f2538173fef2e908c | 2d1d7668114c9b500e025f722387844aa42e17cd | /scripts/poisson_covariance.py | acee5d3cdd1383778290988ed6b47f3a7215d83d | [] | no_license | evgeniiegorov/earthquake | c479d7996ee945acd1bc43a333e2edd88e2768a9 | 006c7fb642ef7082cbc8065f9772e478bb910708 | refs/heads/master | 2021-07-22T18:00:08.010435 | 2017-11-07T12:32:03 | 2017-11-07T12:32:03 | 108,523,154 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 6,680 | py | poisson_covariance.py | import numpy as np
from scipy import stats
def CellXEstimate(cell):
if cell is None:
return (0.0001, 0.0001, 0.0001)
else:
if cell.shape[0] == 1:
x = (cell['magnitude'][0], cell['magnitude'][0], cell['magnitude'][0])
else:
x = (cell['magnitude'].min(), cell['mag... |
e58d5f710febb02014029fa9085947dd49c5d67f | e533cd1ec7c9cce9c5d58021382e2bf0e7717afc | /Eurovision/Eurovision/app/helper/database_helpers.py | 81c97ece0017af752188a77f5bb07b77ae344149 | [
"MIT"
] | permissive | Ploddish/eurovision-webapp | 2b9a8963dd7fe847f4e2afc63f5779a72060d243 | 0a8de5a519ee8a623d3b5d2de8c9e9d99f183c6a | refs/heads/master | 2020-03-19T15:15:51.422734 | 2018-11-18T00:55:30 | 2018-11-18T00:55:30 | 136,663,192 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,161 | py | database_helpers.py | from app import db
from app.models import Song
def fill_db_with_data():
songs = [
Song("Ukraine", "Mélovin", "Under the Ladder", 179, "🇺🇦" ),
Song("Spain", "Amaia & Alfred", "Tu Canción", 179, "🇪🇸" ),
Song("Slovenia", "Lea Sirk", "Hvala ne!", 180, "🇸🇮" ),
Song("Lithuani... |
a120ab8f976ec29263f1985d24db5ebf9d0d75d7 | fbbe424559f64e9a94116a07eaaa555a01b0a7bb | /Keras_tensorflow_nightly/source2.7/tensorflow/contrib/learn/python/learn/estimators/state_saving_rnn_estimator.py | de78c72c3ae3ef14f5f7c46b1d47f82e8266c7c6 | [
"MIT"
] | permissive | ryfeus/lambda-packs | 6544adb4dec19b8e71d75c24d8ed789b785b0369 | cabf6e4f1970dc14302f87414f170de19944bac2 | refs/heads/master | 2022-12-07T16:18:52.475504 | 2022-11-29T13:35:35 | 2022-11-29T13:35:35 | 71,386,735 | 1,283 | 263 | MIT | 2022-11-26T05:02:14 | 2016-10-19T18:22:39 | Python | UTF-8 | Python | false | false | 28,418 | py | state_saving_rnn_estimator.py | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
e2325971ce7559e8871de970f6d9c5f24af9a370 | c8fe59215b68eb5a5d588aefd245b01285db44ea | /merge_data.py | ff5cb70e25af68ae4ae280e7505dd746451a97a5 | [] | no_license | zjost/movie-model | 950a2a4ec6e8c52ec40fd381b947fe924d01428f | 1eaa23b28503962467c06e9cef312099fbd347e4 | refs/heads/master | 2021-01-10T01:50:11.195978 | 2015-10-19T14:25:33 | 2015-10-19T14:25:33 | 44,341,316 | 0 | 3 | null | 2015-10-16T21:17:07 | 2015-10-15T19:47:55 | Python | UTF-8 | Python | false | false | 497 | py | merge_data.py |
import pandas as pd
from load_dataset1 import get_boxofficemojo_movies
from load_dataset2 import load_dataset2
def merge_data():
mojo_df = get_boxofficemojo_movies()
meta_df = load_dataset2()
#mojo_df['release_date'] = mojo_df['release_date_wide']
merged_df = mojo_df.merge(meta_df, on = 'title')
... |
b3660e2d79ea7f22bb11c9ac9c493601630ff077 | 3d2bce6379ef9b984bf2eb46526228153d575248 | /models/lightgbm_.py | 63f664ef72741232105518a2ba517ef257b54bcf | [] | no_license | DigAPieceOfDay/kaggle-talkingdata-adtracking-fraud-detection | 1235ee728ffa7b4bd7881c7b00e16c4e0145130e | cf2f2d838807f0044f48f7d261e00be184db669b | refs/heads/master | 2020-03-16T13:24:28.931635 | 2018-05-08T08:22:47 | 2018-05-08T08:22:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,509 | py | lightgbm_.py | import gc
import logging
from os.path import abspath, join as join_path
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.metrics import log_loss, roc_auc_score
import lightgbm as lgb
from lib.project import project
from lib.columns import DataFrameCols
from lib.utils import make... |
60cc2d042d7b99f745d96b616337cd81995eae2e | 84b7b0dfd4a8ae3699f60f42de83acfde4892afd | /kvcloud/test.py | 73e57ff6c9e42d340d221e53bbf4de70178cac21 | [
"MIT"
] | permissive | wectf/2020p | fa76ae6b95f996238613ec546e59c0020c4e33aa | 748bc42ace5cc4164fb35c418b32a94e729faf48 | refs/heads/master | 2023-06-18T17:34:09.118284 | 2021-07-05T17:32:59 | 2021-07-05T17:32:59 | 322,400,614 | 24 | 4 | MIT | 2021-07-05T17:33:00 | 2020-12-17T20:03:39 | Go | UTF-8 | Python | false | false | 1,021 | py | test.py | from requests import *
import urllib
import random
import string
def check(host="172.17.0.6"):
port = 80
letters = string.ascii_lowercase
def setget():
cmd = ''.join(random.choice(letters) for i in range(40))
if put(f"http://{host}:%s/set/%s?value=dev_test" % (port, cmd)).content != b'OK'... |
1679a577d9c59086854864e9022c9b2fe8a36a67 | e21599d08d2df9dac2dee21643001c0f7c73b24f | /Others/Modules/envelopes/envelopes1.py | a0aea2961cbcfd9c96167893e035d5626d94b810 | [] | no_license | herolibra/PyCodeComplete | c7bf2fb4ce395737f8c67749148de98a36a71035 | 4ef7d2c3aec6d28a53eed0e649cdeb74df3d783b | refs/heads/master | 2022-07-17T05:39:03.554760 | 2020-05-03T07:00:14 | 2020-05-03T07:00:14 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 602 | py | envelopes1.py | # coding=utf-8
from envelopes import Envelope, GMailSMTP
envelope = Envelope(
from_addr=(u'from@example.com', u'From Example'),
to_addr=(u'to@example.com', u'To Example'),
subject=u'Envelopes demo',
text_body=u"I'm a helicopter!"
)
envelope.add_attachment('/Users/bilbo/Pictures/helicopter.jpg')
# Send... |
78d711302b72e54462d287b7e6eb3fe7eb10d4a4 | a1a8c36050fd8acc18f119940dd9aac0b279c20d | /lists.py | 03180ee1aa583f344bed1ab3d48722d5b9eed303 | [] | no_license | carson03/Intro | aef76a7a701fcc4f0b05666087896a5abcfc1ae2 | 0e30a166d3726a4b12867e353f7a8fb4a72ef6fe | refs/heads/master | 2020-03-20T22:18:36.744761 | 2018-06-19T18:24:51 | 2018-06-19T18:24:51 | 137,790,869 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 225 | py | lists.py | myshopping_list = ["bread", "milk", "cereal", "pizza",]
for name in myshopping_list:
print (myshopping_list)
careers_list = ["architect", "chef", "fitness trainer",]
for name in careers_list:
print (careers_list) |
935e6aa85c72956205e0633af8e6fa5a596995e9 | 633d0b9205fd2eb051a3ee3f5356f456d60a7ecd | /lib/version.py | 1bb2aabee25614a9bbc7efef7c210a3c9aa0e7d3 | [
"Apache-2.0"
] | permissive | pombredanne/amara | 7ac6fd8d67ef709bbe85b2d35ddd721c2c8837f7 | 09e9b472e9d189f460197dba3f8aaefc0d4571f7 | refs/heads/master | 2020-12-29T02:54:45.551601 | 2011-08-15T02:29:26 | 2011-08-15T02:29:26 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 33 | py | version.py | version_info = ('2', '0', '0a6')
|
285f2ee21ee445bb4b367d6b2c96724f15ed9c8f | 3c7a342cdd0659c065bb2715dc746a01df68f509 | /app/models/person.py | 81176629a8de1b8ceefddf898aee472609b8f493 | [
"Apache-2.0"
] | permissive | Joeper214/barm | b6dbbb25bbd79e0b1bbd43829c9052f70a46c332 | 77cd8ddcf73ceacf86b13ca819d8e56471e43574 | refs/heads/master | 2016-09-05T13:34:27.854308 | 2015-03-06T08:33:16 | 2015-03-06T08:33:16 | 30,333,982 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 504 | py | person.py | from ferris import BasicModel, ndb
class Person(BasicModel):
name = ndb.StringProperty()
color = ndb.StringProperty()
email = ndb.StringProperty()
@classmethod
def list_all(cls):
return cls.query().order(cls.name)
@classmethod
def find_by_person_id(cls, person_id):
return ... |
5ab60574be8566eef47504d6ef6c0770d27a148d | dff4bd6eaa4e157c8bd254f40c7551c6f8ff730e | /1st Place/team-member-b-execute-second/src/data_structures.py | b91339059d6b5f6b1102bcfe406e787b912ad0f0 | [
"MIT"
] | permissive | gopakumargeetha/power-laws-cold-start | 9dd5d7c187de13dba2eae34ae667e1f139b37e43 | 3915f29335584e1cadd4fbf95c5265689896f90f | refs/heads/master | 2022-12-19T10:04:48.603324 | 2020-03-14T02:26:06 | 2020-03-14T02:26:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,124 | py | data_structures.py | from collections import defaultdict
class find_union(object):
def __init__(self, reduce_fn=None):
self.parent = {}
self.set_size = defaultdict(int)
self.extra_values = {}
self.reduce_fn = reduce_fn
def exists(self, x):
return x in self.parent
def create_element(s... |
73113296c53c9feca533a5a1d7c835af8f208a0b | b41b996b4a14f11bb3d7676b4539725a93c2d586 | /SourceCode/Codesignal-Selenium/SourceNew/Py3/stringsCrossover.py3 | 6f26e73d6a5353e8c358959b036090407db83eac | [] | no_license | mquandvr/selenium | ee2c0e7febb15f4db4d33a8575726f67c48bde05 | d7bb4c95d4d0756c66cbf3c69387318fc07219f2 | refs/heads/master | 2020-06-05T05:49:57.476867 | 2019-06-18T10:55:27 | 2019-06-18T10:55:27 | 192,335,493 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 538 | py3 | stringsCrossover.py3 | int stringsCrossover(String[] inputArray,
String result) {
int answer = 0;
for (int i = 0; i < inputArray.length; i++) {
for (int j = i + 1; j < inputArray.length; j++) {
boolean correct = true;
for (int k = 0; k < result.length(); k++) {
if (result.charAt(k) != inputA... |
565fb18b8b49fbcd4210233f908ac55b368e17a5 | 2898b860d0440fb10a83d8f28815ac75b0cec9a5 | /tests/test_smc.py | a34364de275c3c26a03e07fe9aa33e566cdd18c9 | [
"Apache-2.0"
] | permissive | proteneer/timemachine | e3530e52aa995a9006d0eca8632ac6b937571980 | b853c2d287da0d1c1babb963eaec8fda41539b90 | refs/heads/master | 2023-08-18T09:00:55.463397 | 2023-08-17T22:07:22 | 2023-08-17T22:07:22 | 163,188,061 | 132 | 14 | NOASSERTION | 2023-09-13T21:39:20 | 2018-12-26T14:25:45 | Python | UTF-8 | Python | false | false | 7,663 | py | test_smc.py | import numpy as np
import pytest
from jax import jit, vmap
from scipy.special import logsumexp
from timemachine.fe.reweighting import one_sided_exp
from timemachine.md.smc import (
Resampler,
conditional_multinomial_resample,
effective_sample_size,
get_endstate_samples_from_smc_result,
identity_res... |
3134eddf00f58a216efb95ca24cd5b6cb9a01dbe | 561f4e79b2aa0951828b9fa46039eed77e98bb09 | /segundoModulo/exTread.py | 8dcb22f3db80d0cd6db07cfa60e8d073b7501a49 | [
"MIT"
] | permissive | TharlesClaysson/Python-Basico | fc7da4aaf00e9a66c71e764cd9ad8f2df4e1550b | 16a135e08d4f1c7e46e33d4df5d4f36f7498b4ea | refs/heads/main | 2023-06-04T21:33:20.100413 | 2021-06-28T15:01:46 | 2021-06-28T15:01:46 | 381,044,053 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,065 | py | exTread.py | from threading import Thread
import time, os
def fat(fatorial,tempo):
indice =[fatorial]
resp = z = fatorial
print(f'{fatorial}! iniciou!')
while z > 1:
z -= 1
resp *= z
indice.append(z)
print(f'{fatorial}! = ',end='')
for i in range(len(indice)):
pr... |
eaafc31e9719dbfce6cf1eb3e5a3788dbe5ce397 | 350d6bb5b8c56a7ae0cee4b811a68fa3717c8372 | /tests/utils.py | 78b6c6ad29c76ab6b5cab317fd3eb5646976dcab | [] | no_license | EdwardBetts/undercrawler | 5ac1eaa5edf9e7e4b1a527c15dc3649be163f7c4 | 225a1d083beac73ce75b5d4b6b46eb8c3ccc28d5 | refs/heads/master | 2020-12-13T18:24:31.560950 | 2016-04-13T21:27:31 | 2016-04-13T21:27:31 | 56,217,873 | 0 | 1 | null | 2016-04-14T07:49:49 | 2016-04-14T07:49:49 | null | UTF-8 | Python | false | false | 222 | py | utils.py | class CollectorPipeline:
def process_item(self, item, spider):
if not hasattr(spider, 'collected_items'):
spider.collected_items = []
spider.collected_items.append(item)
return item
|
2bd8cc2f420096f5994e8e0a2f82f806c21098cd | b3254f94b92bb4c5e475da10c80568c5b114bee4 | /asyncio_photos_uploader/uploader.py | cbbde1962390dbb080c45f003888a24587c43ad6 | [
"MIT"
] | permissive | elyssonmr/asyncio_examples | d216d4d7ca7802be45d13f3c472b105949b1e60e | 955f6b22024aa114cffc2565885771151bcbb423 | refs/heads/master | 2021-06-26T12:15:29.114644 | 2019-10-07T02:54:11 | 2019-10-07T02:54:11 | 213,280,628 | 0 | 0 | MIT | 2021-02-26T12:15:32 | 2019-10-07T02:35:48 | Python | UTF-8 | Python | false | false | 6,093 | py | uploader.py | from argparse import ArgumentParser
import asyncio
from concurrent.futures import ThreadPoolExecutor
import imghdr
import os
from aiohttp import ClientSession, ClientTimeout, TCPConnector
from google_auth_oauthlib.flow import InstalledAppFlow
def setup_args():
arg_parser = ArgumentParser(description="Google Phot... |
31da06ae14e6417df826a7fa11969ad80615c239 | f263899ab7fa9c3e225d48c44456f97504942ad6 | /backend/application/models/note.py | 8341d8b8b092a3e120fc069d305f47a9ef4a6928 | [] | no_license | Supasitrit/docker_flasks_angular2_mongodb_nginx | 44307c9bace766b38f469e7252e78c663859c8b0 | 1bdf42c45b529b2da6115290aebaba03a3033927 | refs/heads/master | 2021-07-13T04:55:06.756437 | 2017-02-18T08:22:35 | 2017-02-18T08:22:35 | 82,275,569 | 1 | 0 | null | 2021-06-01T21:44:18 | 2017-02-17T08:36:51 | TypeScript | UTF-8 | Python | false | false | 110 | py | note.py | from application import db
class Note(db.Document):
created_at = db.DateTimeField()
text = db.StringField() |
97e3c21d986cb06602094a12cc2cb39d205081d6 | 273382e5eda9a51b202e006c7b102e3aa7dbf1a5 | /py_scripts/create_static_data.py | 180e5657625d05572d4a7ae727e7408e5c6cf13b | [] | no_license | MaxMaelicke/dsnd_capstone_stock_price_predictor | 0bbb0ae3c656230ed8e9f37f47bcfa969aac73ab | 14e2e10e0800d75f446b7431e924fb759746c5e4 | refs/heads/master | 2022-10-19T14:27:05.663790 | 2020-06-12T07:19:10 | 2020-06-12T07:19:10 | 264,929,808 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,600 | py | create_static_data.py | #### Stock Price Predictor
#### Create static data for Dash App
# Run this script automatically on a daily basis to keep your Dash app up-to-date
# Requirement to be added: Daily retrieval of actual stock data
# Import libraries
import os
import pickle
import pandas as pd
import numpy as np
import datetime
from skl... |