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85022d5a064299f638e65f28a7890afad235bdfe | 09aa40466244455c4b62bfd18917f8d840d68a9f | /encyclopedia/arboretum.py | 60adee512c02b2c25cb5dda4b10a9ad6eeac3400 | [
"Apache-2.0"
] | permissive | scott-howard-james/encyclopedia | b5df4058479dc616d5cb2250551bb7a884ddd95c | 0eb03c6505252584cf4f4320e38d92a9ec092e17 | refs/heads/master | 2023-03-11T04:16:26.638794 | 2023-02-24T22:50:04 | 2023-02-24T22:50:04 | 117,380,082 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,193 | py | arboretum.py | # standard
import unittest
# external
# internal
from encyclopedia.relate import Function
from encyclopedia.forest import Forest
class Arboretum(Forest):
'''
A Forest with inhertiable attributes. Note: as attributes are assigned using setitem syntax,
tuples cannot be used as node aliases
'''
def ... |
3221dbd834e6c70fd74e991b4d626e3600c19e07 | 39bde18f9679470b61a513f32baa306a955adaf3 | /AI_single_display.py | f2f039621e1aac53f21592c9bbaa1151c1963f7a | [] | no_license | rahul7iitk/Game-API | d8239852284d1fbe8a7e4f70ac05509cfa29bd6d | 48aae102b3867a40989001c29efcad25aafb4ff4 | refs/heads/master | 2021-01-21T12:20:06.270226 | 2017-07-08T16:34:22 | 2017-07-08T16:34:22 | 91,787,149 | 0 | 1 | null | 2017-05-25T15:51:31 | 2017-05-19T09:00:46 | null | UTF-8 | Python | false | false | 6,604 | py | AI_single_display.py |
from pprint import pprint
import pygame,sys
from pygame.locals import *
import copy
import pickle
import time
FPS = 1000
windowwidth = 1200
windowheight = 800
revealspeed = 8
boxsize = 50
gapsize = 5
boardwidth = 10
boardheight = 10
xmargin = 300
ymargin = 100
white = (255,255,255)
blue = (0,0,255)
yellow = (255... |
022fb3d117869bdd110a26be91163de797e23de2 | a1e420cd04511c52fe28acbc7e9a0ee67422267f | /server/controllers/boards.py | 088c720aded7e8c18820ca22ee21965a4b3125cd | [] | no_license | rasPanda/GA-Project4 | 385fd2f353686f2f4bd6f888d2ee8fbdd6eb8b57 | 8fcff2c2d1239a74ffa9c059d731833a4e1e56d7 | refs/heads/main | 2023-04-05T21:04:20.391987 | 2021-04-19T14:40:37 | 2021-04-19T14:40:37 | 346,305,571 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,586 | py | boards.py | # pylint: disable=import-error
from app import db
from flask import Blueprint, request, g
from models.board import Board
from models.products_boards import Products_Boards
from serializers.board import BoardSchema
from decorators.secure_route import secure_route
board_schema = BoardSchema()
router = Blueprint(__name_... |
9dc38c433343a3119f8d63afbb5202ecd9578042 | ebbe7688e70a91903b6e1b0d3f46dd7839b5d32b | /forms/migrations/0008_auto_20190627_2218.py | 8d1812935e89f6bd736aba0e7114d052d721410b | [] | permissive | art-re-art/art-re-art-web | bd56f199ad3654bb672fb7bb669ceded263b2bce | af32fb80801824ccdf96762054144c81f2649a43 | refs/heads/master | 2023-01-10T22:26:37.090215 | 2019-12-04T23:11:04 | 2020-01-19T23:42:15 | 201,573,590 | 1 | 0 | BSD-2-Clause | 2019-08-27T09:55:47 | 2019-08-10T03:24:14 | JavaScript | UTF-8 | Python | false | false | 639 | py | 0008_auto_20190627_2218.py | # Generated by Django 2.2.2 on 2019-06-28 02:18
from django.db import migrations, models
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [("forms", "0007_auto_20190622_1719")]
operations = [
migrations.AlterModelOptions(
name="mailchimpsignup", options... |
a5918b685e7d037e4c42424832790ff8ccbd5a2a | 39eccfecd305187f17686d118f6e86709adeea88 | /Titanic - Machine Learning from Disaster/.ipynb_checkpoints/Titanic - Machine Learning from Disaster-checkpoint.py | 263965857bb5dd35a25498d4291fdcc49c6f41b3 | [] | no_license | jgoni90/Kaggle | 69bec0de37affd99114c6a98b32956aae0d4ac30 | eb4c89c41fc1adb08ebae139150336a01d22ac01 | refs/heads/master | 2021-03-30T21:01:34.292055 | 2018-03-24T21:13:10 | 2018-03-24T21:13:10 | 124,691,664 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,141 | py | Titanic - Machine Learning from Disaster-checkpoint.py | # Titanic - Machine Learning from disaster
# -*- coding: utf-8 -*-
"""
Created on Mon Feb 19 15:30:28 2018
@author: Jon Goni
"""
# Import relevant libraries
import pandas as pd
import numpy as np
from sklearn.linear_model import LogisticRegression
from sklearn.cross_validation import train_test_split
from sklearn.me... |
03a060463529084a97a664965183941099156e2c | 21d315677f1bee1fa894238e8c05bae6bbe6670c | /ev3dev/bin/format-usb | b1c789d28bed9b567e3375430a8b36ff202f2559 | [
"Apache-2.0"
] | permissive | laszewsk/mindstorm | 4e255461ac126ffcccdcfbf787f3a5975f0c4f7f | ffa9e7113cd4de44513e375b81e180d1d336eff4 | refs/heads/master | 2018-12-28T07:29:36.533915 | 2015-11-22T23:19:44 | 2015-11-22T23:19:44 | 40,698,991 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,887 | format-usb | #! /usr/bin/env python
from __future__ import division
from __future__ import print_function
from pprint import pprint
from sh import diskutil
import os
from pprint import pprint
from BeautifulSoup import BeautifulSoup
import urllib2
import re
import wget
import zipfile
# ############################################... | |
bb3dcfe31f36ff3c9ddf88528a6870fe501fb94d | 91846719f83684fb61d5c9e4d80212a4dd518702 | /hello_world.py | 36001033a93c55e518416c4e1d0df9be909c4383 | [] | no_license | koreahong/study_Python_OOP | d683c278d5f2673a65356adee3ff7180e7ecbbb1 | 6128c18e7e4882abc822bfab573c5ce90a24b61f | refs/heads/main | 2023-07-13T22:55:49.786971 | 2021-08-23T08:00:33 | 2021-08-23T08:00:33 | 399,007,901 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 67 | py | hello_world.py | print("hello world")
def hello(ss):
return ss
hello("ss")
|
cfd9df8739df6e9f51485365821d6a8031855fe1 | b3cf54275531088bdf533713a5869a792b823d18 | /world_map.py | a5987e362fd6c5ef7b26c4696d993a12a94d8800 | [] | no_license | fury473/pirates | 0a7c423b804e58da9bc8be81f4eaf121ebef544c | 034bbbcf5302f4e4e80fe0a4cbe73efe7968d5f8 | refs/heads/master | 2021-01-12T12:47:58.386975 | 2016-11-26T02:34:45 | 2016-11-26T02:34:45 | 69,282,917 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,950 | py | world_map.py | from cell import Cell
from numpy import add, subtract
from util import tuple_to_str
from pprint import pprint
from sys import exit as die
class WorldMap(object):
UNMAPPED_CELLS = [(0,0), (5,0), (7,0), (7,1), (0,4), (6,4)]
EARTH_CELLS = [(1,0), (3,0), (6,0), (8,0), (0,1), (4,1), (2,2), (0,3), (2,4), (4,4)]
... |
232db60f32b6a2aafef1ffd3380d069e1cd53f19 | dcd25cbd65fbad9dcd0bc9fffabd11169cbb919e | /questions/views.py | 63499634c6a8a19d6f663ba6fe3007d2d505d758 | [] | no_license | mattsmithtaiko/worksheetmate | f5288a305301debdeffb57975944711ffc21b34f | c526c7e9409b4cbc6cf845927a973d03e073296d | refs/heads/master | 2023-03-15T08:43:28.757637 | 2021-03-08T19:30:16 | 2021-03-08T19:30:16 | 345,768,047 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,555 | py | views.py | import subprocess
import os
import time
from django.http import HttpRequest
from django.shortcuts import render, redirect
from django.urls import reverse
from django.contrib import messages
from django.db.models.query import QuerySet
from .models import *
from .forms import *
# Create your views here.
def index(reque... |
44efbf661a56b11a2b0a646249856096e1d74553 | 401308eb8a706dec6d88eb4692bc38e822fc24bc | /brush_merge.py | 0d0931173e9adbbe6ab27e77bd6aa9e4ecdbb9c0 | [] | no_license | xiaopanliang/brushstroke-style-recognition | 120e944d5462e3ccf18e5e3f946efa65f2fa779c | 1a2b415c4d260ac68f23c9b4442a9b6f0d4603a6 | refs/heads/master | 2021-07-12T03:42:53.338490 | 2020-07-11T15:26:58 | 2020-07-11T15:26:58 | 146,140,810 | 2 | 1 | null | 2018-11-17T01:52:34 | 2018-08-26T01:03:08 | Matlab | UTF-8 | Python | false | false | 7,460 | py | brush_merge.py | # -*- coding: utf-8 -*-
"""
Created on Thu Oct 11 00:50:58 2018
@author: jpansh
"""
import os
import numpy as np
import cv2
import collections
# import matplotlib.pyplot as plt
# import math
input_height = 1024 # 768
input_width = 1024 # 1024
total_height = input_height*4
total_width = input_widt... |
8512dfa23cc4132eb016f36389ccadcd8c1b3a61 | 2c2a9f362c7949cbfa989cf79527e63b1616596b | /[WEB][누뗄라][talk2slides]/record/views.py | f7286159ad8e53a0acec76c993a8eb74c622ef63 | [] | no_license | blesk011/AI-Burning-Day_Result | 5fa1e3c0029293d8d1d8661ffd4cb1f210aee7e1 | 98d19f4fe043e28158efd94da12d452be77f63d6 | refs/heads/master | 2022-10-09T02:50:22.849979 | 2020-02-15T04:11:28 | 2020-02-15T04:11:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,385 | py | views.py | from django.shortcuts import render
from django.http import JsonResponse
from django.template import RequestContext
from record import naver_api_utils as naive
from record import slide_generator as slidegen
import configparser
import os
config = configparser.ConfigParser()
config.read('record/config.ini')
... |
de1b57e6a370e2efa362755b1358759ed978deb6 | 8785e48e39be45eca63e1cf705a01e4b2be5394b | /ebay-api-scraper/parallel-requests.py | bdebbaf5b26bee8085741806898fb885807ce89a | [] | no_license | cuulee/ebay-price-predictor | 08baca873210c3f9d449e2b9c71ebff4b79f727c | 9e2055fd7b1c96c6715d7dcbd2882da4403048c5 | refs/heads/master | 2020-08-28T01:21:53.304680 | 2017-04-27T06:13:45 | 2017-04-27T06:13:45 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,755 | py | parallel-requests.py | # Based on http://www.eamonnbell.com/blog/2015/10/05/the-right-way-to-use-requests-in-parallel-in-python/
import sys
import requests
from multiprocessing import Pool
import psycopg2
from scrapy.selector import Selector
from scrapy.http import HtmlResponse
import math
start_index = input('Which index are you starting ... |
0e754f581e8c0f47e81291f59cf006d2c078c89f | 4510789b16f8d0da70afa8144877573e4d3a1708 | /src/kafka_helper.py | 18823449de77920f23033163832d8613fc68e755 | [] | no_license | Guitar1st/site_monitoring | 8adf655533cb1fe652ccd80a5d5742f654023dd0 | 64afa4ac366b47ece5448f076cd40ee1ecec11c8 | refs/heads/master | 2023-01-24T06:13:18.994321 | 2020-11-16T08:01:52 | 2020-11-16T08:01:52 | 313,228,951 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 723 | py | kafka_helper.py | import os
from kafka import KafkaProducer, KafkaConsumer
def get_security(ssl_folder):
return {
'security_protocol': 'SSL',
'ssl_cafile': os.path.join(ssl_folder, 'ca.pem'),
'ssl_certfile': os.path.join(ssl_folder, 'service.cert'),
'ssl_keyfile': os.path.join(ssl_folder, 'service.... |
cd009b4006ce1c4edd96e2681dde17c334bb0727 | 3e892341640ce351163c1fb289bb94146b50af41 | /Crypteur Décrypteur.py | 29b780d4a9c7b20dc3d2ddaa6921c299991b3f8f | [
"MIT"
] | permissive | Baitoven/chua-diod-emulator | 59c62342f06e3d0b65ef01732fac126b3c74ff95 | b26747d14cf20eea56ccaba66503db8054380d99 | refs/heads/master | 2022-11-28T16:25:32.766263 | 2020-08-14T12:13:07 | 2020-08-14T12:13:07 | 287,524,656 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 16,585 | py | Crypteur Décrypteur.py | import math
from scipy import *
from pylab import *
from scipy.integrate import odeint
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import random
"""Parametre systeme"""
m0 = -0.41
m1 = -0.79
m2 = 4.54 #valeur théorique
m3 = -0.45 #valeur théorique
pc1 = 1.8 #valeur théorique, pc1 = 1.957... |
576b4a248045ba6601bcc04a26dd3a2d2a969348 | 37bb50df328acced43afa1ba276e10ea49f2cf38 | /lesson1/task6.py | 6ed9eed4aa2224e00ad9f0e752440e098af36fab | [] | no_license | ba6a-yaga/pythonlessons | 3145c2639c4eb25ace22a59c42470dd82f579580 | 7572d5daa7621225bb9d18d47acc6f434e44e409 | refs/heads/master | 2020-04-11T18:55:25.253928 | 2019-02-05T20:37:31 | 2019-02-05T20:37:31 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 612 | py | task6.py | # Пользователь вводит номер буквы в алфавите.
# Определить, какая это буква.
import string
num = input('Введите номер буквы: \n')
if num.isnumeric():
if int(num) > string.ascii_uppercase.__len__():
print(f'Букв в алфавите {string.ascii_uppercase.__len__()}, попробуйте снова')
else:
ch = string... |
00778381f8bcab86a43a09708c773daa6f0137b3 | c2c31fd50665faac3723b453ba053ff59cb418db | /__main__.py | 237d8e53764b6df84cfb15c46cb574b0dd92b373 | [
"Apache-2.0"
] | permissive | trolleway/scanimage-book | a837bd4cd1275cd1d3cc1c306494aa547f3301b8 | 06ed1a8cd044d81d7c271d04fd5fcf01b391a06f | refs/heads/master | 2020-07-21T11:56:05.253011 | 2019-09-06T19:09:37 | 2019-09-06T19:09:37 | 206,856,865 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 117 | py | __main__.py | import os
cmd = 'scanimage --format tiff --batch --progress --verbose --mode Color --resolution 300'
os.system(cmd)
|
e234b335ac7dec5ecde8468f837f3e54c7eeb895 | 935999ba83d1130d2b4d74166dfa16ec4fcb4233 | /utils/caffe_model_utils.py | 5515866742139df5b894129adad1b5eb62c7a582 | [] | no_license | DatHuynh/latent-noise-icnm | adc887c1e5641628d779d3b82987ac2c85eefdae | 6d9067a0ed4e302f2a5b02f3f85f2b2b3335036c | refs/heads/master | 2021-04-06T01:07:09.205100 | 2016-08-14T13:55:01 | 2016-08-14T13:55:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,517 | py | caffe_model_utils.py | import numpy as np
import re
import os
'''
Simple utilities for making life with caffe easier
Includes
- parsing solver without needing to import protobuf
- parsing caffe logs for reading loss/lr values
'''
__author__ = "Ishan Misra <ishanmisra@gmail.com>"
__date__ = "2015.07.12"
def parseSolverProto(solverPath, rem... |
cf629c89a5ef1682499c0196a3e01bbbc7533f91 | c99dd79a419dc652962e16fc8d0f1c25143c8471 | /entrenar.py | 09216939fce40d0babc5a9b10a8dc9fa12b45107 | [
"MIT"
] | permissive | fiecup/ia-clasificador-imagenes | 0e9acba0dd2fa2291fe270ca436d40ae5d3b2337 | f38d78a1aff4f885b67bb5bee9af605f3469e5b9 | refs/heads/master | 2020-06-23T15:04:14.075611 | 2019-07-26T04:40:31 | 2019-07-26T04:40:31 | 198,657,842 | 3 | 6 | null | null | null | null | UTF-8 | Python | false | false | 3,002 | py | entrenar.py | import sys
import os
from tensorflow.python.keras.preprocessing.image import ImageDataGenerator
from tensorflow.python.keras import optimizers
from tensorflow.python.keras.models import Sequential # Nos permite hacer redes neuronales secuenciales
from tensorflow.python.keras.layers import Dropout, Flatten, Dense, Activ... |
21f56cbc393ed37ab654901d611905fbc580bf31 | 32dbcb9905d3ad193dded2a01d5b7006f4a4264e | /2/main.py | 108a5708c41863e86ab7898d47be676b5cb6dfb0 | [
"MIT"
] | permissive | felixb/advent-of-code-2017 | 2d53c7b0ce34e00ba058b7737262c9b0c543e5e8 | 634d98e8887b12e269374a713185c81ec940cca1 | refs/heads/master | 2021-09-02T00:41:21.683802 | 2017-12-29T13:12:25 | 2017-12-29T13:12:25 | 115,003,451 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 454 | py | main.py | #! /usr/bin/env python3
import sys
from functools import reduce
def parse_line(line):
if len(line) == 0:
return 0
input = [int(i) for i in filter(lambda i: i != '', line)]
return max(input) - min(input)
def run(input):
input_matrix = list(map(lambda i: i.split(' '), input.split("\n")))
r... |
80ff296aa52db46c9ef0c5c77f0c65f82d5f2374 | 275e665eaac3216065d88fc74719e6a034c6e0b5 | /baylor_denovo_qc/compareDeNovo.py | ed8402b989a2810f50ffd933b42b73f696c1b272 | [] | no_license | asalomatov/misc_scripts | c23a6a3476c68f69cddcc951c0a9b9685411aa0d | aca316a07a3bd67d34cd7dddda3c27a06496ad5e | refs/heads/master | 2020-12-31T01:23:16.069292 | 2017-08-24T19:18:44 | 2017-08-24T19:18:44 | 34,534,029 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 20,427 | py | compareDeNovo.py | import pandas as pd
import numpy as np
import os
geneDX = pd.DataFrame({'chr':['20', '4', '14', '4', '14'],'pos':['31021623', '501248', '21854332', '501248', '21854332'],'ref':['-', 'G', 'G', 'G', 'G'],'alt':['AAAAGAAGCCCCG', 'A', 'T', 'A', 'T'],'descr':['frameshift', 'missense', 'missense', 'missense', 'missense'],'g... |
e740a7a0865ff78174fcb47f39301a9f8ccb19fd | 1ea2b6c7ac590eccc4671ac819922ad2360771a0 | /spider7-北大BBS/spider7-北大BBS.py | 9b69683e858decfff60c8252ec895dfc4af3d842 | [
"MIT"
] | permissive | zzhaoch/MyPythonSpiders | 36e266eec60f2ac446560b9724153e31438cc975 | 6112797ac67aa6c00c65f7bd0226225ffc429ccd | refs/heads/master | 2023-01-07T15:24:53.201846 | 2020-11-09T08:45:28 | 2020-11-09T08:45:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,599 | py | spider7-北大BBS.py | # -*- coding: utf-8 -*-
# 0.
# 模拟登录，获取session
# 1.
# 爬取十大的帖子
# 所有文本内容，正则分词给出关键词
# 参与讨论的用户，查看用户的特点
# 2.
# 爬取所有版面
# 每个版面当前在线人数，倒叙排序，显示总贴数
# 点击之后显示，该版面的发帖数量随时间的变化，爬取10页，数量太多太慢
from flask import Flask,render_template,jsonify
import hashlib
import requests
from requests import RequestException
import json
from bs4 impor... |
b0a7d7ee728b6d27a202e404519356173681dbfe | 84c68bfad0f6644c2013f7bb9f36eaf4c5febb6a | /fetch/fetch_aiohttp.py | 88464c33fecb936e88ab00f18aecbb773852c27d | [] | no_license | benjaminrumble-tc/asyncio-ttt | 0a842ec116d812633e5a9281495a8ae3c3af45e6 | 894e444252dfb9cfe0a6043f460633f22d1c6d63 | refs/heads/master | 2022-12-12T03:31:08.122208 | 2019-08-21T19:51:08 | 2019-08-21T19:51:08 | 171,498,314 | 0 | 0 | null | 2022-12-08T05:47:06 | 2019-02-19T15:27:36 | Python | UTF-8 | Python | false | false | 538 | py | fetch_aiohttp.py | #!/usr/bin/env python3
"""fetchs a bunch of HTTP resources using aiohttp"""
import asyncio
import time
import aiohttp
async def main():
"""an async function"""
start = time.time()
urls = [
f'https://httpbin.org/get?request={i}' for i in range(20)
]
async with aiohttp.ClientSession() as s... |
a1a39bd6915b79a54ffcf43aa0ada573d491fe47 | e310be0e50a0cfd2a18ff8a4ba90bb1833cd0f5f | /fractals/venv/cantor.py | 62e825d4e9e18250d68df0426e5b5ca6837e923f | [] | no_license | scottbing/SB_5410_Final_Project | d2010bf06b1e1632c64543c241a330283a6c362b | 45bf567ce093cafa33ae18285ff6df0ba5d75d12 | refs/heads/master | 2023-02-03T04:31:41.161223 | 2020-11-27T05:15:33 | 2020-11-27T05:15:33 | 310,676,104 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,763 | py | cantor.py | import numpy as np
import matplotlib.pylab as plt
def vicsek(a, b, c, d, iterations, offset=np.array([0, 0])):
ab = (a + b) / 3.
ba = 2 * (a + b) / 3.
bc = (2 * b + c) / 3.
cb = (b + 2 * c) / 3.
dc = (c + 2 * d) / 3.
cd = (2 * c + d) / 3.
ad = (d + a) / 3.
da = 2 * (d + a) / 3.
ab... |
aa9758a6fced2c188e43a1764322d92063a35641 | 4ec6ed4ebcb9346042669e6aa03be0e502ed48b3 | /leetcode/base-7.py | 415659b351401b1e1508ef07c7718e01a93131b2 | [] | no_license | shonihei/road-to-mastery | 79ed41cb1ad0dc2d0b454db2ccc7dd9567b03801 | 312bdf5101c3c1fc9a4d0b6762b5749ca57efe08 | refs/heads/master | 2021-01-22T19:59:17.038641 | 2017-11-16T15:21:55 | 2017-11-16T15:21:55 | 85,266,186 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 599 | py | base-7.py | """
Given an integer, return its base 7 string representation.
"""
def convertToBase7(num):
if num == 0:
return "0"
neg = False
if num < 0:
neg = True
num *= -1
out = ""
while num > 0:
out = str(num % 7) + out
num //= 7
return out if not neg else "-" + ou... |
caccd4c62d149d306fb3fe4fd0b9dd15976b52a6 | 781e2692049e87a4256320c76e82a19be257a05d | /all_data/exercism_data/python/word-count/db58aa407a13444680993624ac8f030f.py | e2a076eac58a764daf6d673e2a05b36093c3aead | [] | no_license | itsolutionscorp/AutoStyle-Clustering | 54bde86fe6dbad35b568b38cfcb14c5ffaab51b0 | be0e2f635a7558f56c61bc0b36c6146b01d1e6e6 | refs/heads/master | 2020-12-11T07:27:19.291038 | 2016-03-16T03:18:00 | 2016-03-16T03:18:42 | 59,454,921 | 4 | 0 | null | 2016-05-23T05:40:56 | 2016-05-23T05:40:56 | null | UTF-8 | Python | false | false | 378 | py | db58aa407a13444680993624ac8f030f.py | def word_count(phrase):
counts = {}
# Split the phrase up into a list containing each word
for word in phrase.split():
# If the word is in our dict, increment its count
if word in counts:
counts[word] += 1
# If the word is NOT in our dict, add it with a count of one
... |
5aa0b865d9f7b77d27355e4cc6f8899e76bd3642 | 21f34c61ce7f3ca154b37aeb5dfd32d9ac3236e5 | /leetcode/1528_shuffle_string.py | fed995b3345726e026d56f8dd7b22bcd162b7e22 | [] | no_license | codingbbq/python-katas | b3b5fa15419766b37390e40e864ce90be2664f55 | 44241dae4394939f963787aab08d5e7c290dbb9a | refs/heads/master | 2021-06-27T15:28:57.775778 | 2021-01-05T10:17:53 | 2021-01-05T10:17:53 | 184,697,423 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 628 | py | 1528_shuffle_string.py | # 1528. Shuffle String
# https://leetcode.com/problems/shuffle-string/
from typing import List
class Solution:
def restoreString(self, s: str, indices: List[int]) -> str:
# Create a dictionary to store indices as key and s[indices] as value
o = {}
# crate a list where shuffled values will ... |
34c86f6c0219bf7874d56ebf85b54f242a41c87a | 2702985c5fe38738425a29e75a098d661fb899b0 | /UNet.py | 70ac9c0468a4f1836f97a44ddd1e3626d68bdebf | [
"MIT"
] | permissive | kkothari93/fionet | 86597903bc5bb1137adcc01a1d133686e3c7a1b9 | 7dbeb2a97b062167cc70f50fe885e1e6de1b4985 | refs/heads/main | 2023-03-10T16:23:49.208824 | 2021-03-01T14:36:41 | 2021-03-01T14:36:41 | 306,303,227 | 14 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,129 | py | UNet.py | import tensorflow as tf
from tensorflow.contrib.layers import conv2d, max_pool2d, avg_pool2d
class UNet(object):
""" This is a UNet class that sets up a regular UNet
with different number of channels, pooling options
and output options
"""
config_def = {
'pool_type': 'max',
'start... |
e8380444d9dc5b0536c0a2f6fbbfd8a6552af0c5 | 858361e405b69ad1c9868c72ed88236e90893b1a | /boards/fetcher/exceptions.py | 532b9e4e5eb9dfa3d65da3f01cb40425163e0bc4 | [
"BSD-3-Clause"
] | permissive | m1yag1/zenhub_charts | e97145941aa0ee18b7b978ae9eabf6a9a75e626f | 69046e2955f33e67e48401e10bb9428149b20411 | refs/heads/master | 2020-04-04T11:42:27.336770 | 2018-11-02T17:41:27 | 2018-11-02T17:41:27 | 155,901,408 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 205 | py | exceptions.py | class PipelineNotFoundError(Exception):
def __init__(self, board, name):
message = f'Pipeline ({name}) not found in {board} boards'
super(PipelineNotFoundError, self).__init__(message)
|
6665c5e8164a93e2a17eac397af6339beca98321 | c46754b9600a12df4f9d7a6320dfc19aa96b1e1d | /src/transformers/models/marian/tokenization_marian.py | 96a1f47bf762125e3649d2291b8594c890a241c1 | [
"Apache-2.0"
] | permissive | huggingface/transformers | ccd52a0d7c59e5f13205f32fd96f55743ebc8814 | 4fa0aff21ee083d0197a898cdf17ff476fae2ac3 | refs/heads/main | 2023-09-05T19:47:38.981127 | 2023-09-05T19:21:33 | 2023-09-05T19:21:33 | 155,220,641 | 102,193 | 22,284 | Apache-2.0 | 2023-09-14T20:44:49 | 2018-10-29T13:56:00 | Python | UTF-8 | Python | false | false | 17,662 | py | tokenization_marian.py | # Copyright 2020 The HuggingFace Team. 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 applicabl... |
ec19e4693d7c0807ecb023b4ea755f7561ecdc8d | 15f321878face2af9317363c5f6de1e5ddd9b749 | /solutions_python/Problem_155/3505.py | 1bfaee23ef801881fbc09b5fbab29229a681a0cf | [] | no_license | dr-dos-ok/Code_Jam_Webscraper | c06fd59870842664cd79c41eb460a09553e1c80a | 26a35bf114a3aa30fc4c677ef069d95f41665cc0 | refs/heads/master | 2020-04-06T08:17:40.938460 | 2018-10-14T10:12:47 | 2018-10-14T10:12:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,578 | py | 3505.py |
# read input
import fileinput
num_tests = -1
tests = []
for line in fileinput.input():
line = line.strip()
if num_tests == -1:
num_tests = int(line)
continue
test_case = line.split()
max_shy = test_case[0] # Not sure I need this
tests.append([int(d) for d in test_case[1]]) # ch... |
52a55e15cc708fedde44447eaa7d4ae4d4244667 | 428f2ed6db3cbc99d28c5a867f58c0d3c4a93522 | /russ/lstm.py | 7ca5b63318f5c9b4f774474a0163f768a7cbcff0 | [
"Apache-2.0"
] | permissive | IlyaGusev/russ | bbb5ebd5f7659999f263eead838de00859ccc303 | 1ab9339b3984927b8c493d731c3d5b67dcb73ae0 | refs/heads/master | 2023-02-05T09:31:01.776834 | 2023-01-27T23:16:13 | 2023-01-27T23:16:13 | 174,317,419 | 8 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,558 | py | lstm.py | import copy
import torch
from torch.nn.functional import pad
from torch.nn import CrossEntropyLoss, Embedding, Dropout, LSTM, Linear
from transformers import PretrainedConfig, PreTrainedModel
from transformers import AutoConfig, AutoModel, AutoModelForTokenClassification
class LstmModelConfig(PretrainedConfig):
... |
f02111956cf6b268e3250765a366e0c3738511ce | 16b9a6bfc707b0ab84c3ea6f9f81510f0d272c62 | /pong/pong.py | a0875762960ac7523b9779abe77e973ece46f80d | [] | no_license | pchhina/interactive-programming | 5d3a6d222680e662f0574f6b54b7c4d077579d5e | bb26f2337b4ef29cf3678731f91989fb900b1d2f | refs/heads/master | 2020-06-02T01:51:48.174896 | 2019-06-30T18:52:19 | 2019-06-30T18:52:19 | 190,997,998 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,110 | py | pong.py | import tkinter as tk
import time
import random
root = tk.Tk()
root.title("Pong")
class Pong:
"""Represents the game of pong.
"""
def __init__(self, master):
self.width = 1000
self.height = 800
self.window = tk.Canvas(master, width = self.width, height = self.height)
self.w... |
ef83c4c7f0847d55cbf122fcd48b099116390f61 | d4d506b7e9e74d775565d533483fa2a81b2c7cdc | /monocular_camera_depth.py | 68ce2b8c5d2e9126f8ce69fe635fd9e1093d3f5c | [
"MIT"
] | permissive | DavieWu/monocular_camera_depth_mydemo | a2940783d18c241c091c8b37083e86aa0d173856 | bcf7980a9578fe724db3f1c0b1b41b2db5fa59ff | refs/heads/main | 2023-03-20T03:05:24.360416 | 2021-03-10T03:15:10 | 2021-03-10T03:15:10 | 346,212,181 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,708 | py | monocular_camera_depth.py | # !usr/bin/python
# -*- coding: utf-8 -*-
# 定义编码，中文注释
# import the necessary packages
import numpy as np
import cv2
# import toybrick as toy2
# 找到目标函数
def find_marker(image):
# convert the image to grayscale, blur it, and detect edges
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
... |
6666e4d55e0f0dd4e746a2f2443f008d784877aa | ec85250addb7357dfe7bb3e0680d53fc7b0fd8fb | /examples/docs_snippets/docs_snippets/intro_tutorial/basics/testing/custom_types_test.py | ee6451b484e74e3011a98145ff835a6840923252 | [
"Apache-2.0"
] | permissive | dagster-io/dagster | 6adb5deee8bcf3ea1866a6a64f2ed81e1db5e73a | fe21995e0402878437a828c6a4244025eac8c43b | refs/heads/master | 2023-09-05T20:46:08.203794 | 2023-09-05T19:54:52 | 2023-09-05T19:54:52 | 131,619,646 | 8,565 | 1,154 | Apache-2.0 | 2023-09-14T21:57:37 | 2018-04-30T16:30:04 | Python | UTF-8 | Python | false | false | 3,023 | py | custom_types_test.py | import csv
import os
import typing
from dagster import (
DagsterType,
Failure,
Field,
String,
check_dagster_type,
dagster_type_loader,
job,
op,
)
def less_simple_data_frame_type_check(_, value):
if not isinstance(value, list):
raise Failure(
"LessSimpleDataFram... |
fd90af4c2da757f2298eb0b4c5a804e8388f00af | e684dddf58d19f129584ea1e7edad7c889aa49d7 | /client/adcclient.py | af677d18d1e26ef2d0ccc39497651e4d3e5088cd | [
"BSD-3-Clause"
] | permissive | dasadc/adc2019 | be204821dbfba5d34f87efc488d5fe88f7fecc97 | 7fdc2306a959391e88a81d2703e75d4665df98b1 | refs/heads/master | 2023-07-20T19:22:43.370345 | 2023-02-13T22:57:15 | 2023-02-13T22:57:15 | 200,173,975 | 1 | 2 | BSD-3-Clause | 2023-08-29T02:04:14 | 2019-08-02T05:55:13 | Python | UTF-8 | Python | false | false | 32,173 | py | adcclient.py | # coding: utf-8
#
"""
a client library for ADC service
"""
import http.cookies as Cookie
import json
import os
import stat
import sys
import urllib.error
import urllib.request
import yaml
import re
import base64
import pickle
class ADCClient:
"""
client of ADC service
"""
states = ('init', 'im0... |
ea75f22e8b2cc2ac3f4cf7853551fb43b6c7ed81 | e854495b81dfad2ecdd1ae0dfdd22c54ed15b4d4 | /crowd_app/station_crowd/views.py | d9ffdc9edd87822e681cff31a9d92abc57c6d4ac | [] | no_license | WenqingZhong/MassTransit | 1c20eb6c59ba00c9db8020e7c19d29defa901503 | 189e8cdf09bb03b844ce5137d54c7e6e2b7b030c | refs/heads/master | 2022-12-04T21:55:53.581599 | 2020-08-21T08:13:56 | 2020-08-21T08:13:56 | 275,008,819 | 3 | 2 | null | null | null | null | UTF-8 | Python | false | false | 288 | py | views.py | from django.shortcuts import render
from django.http import HttpResponse
from .models import station_call
# Create your views here.
def index(request):
all_station_items = station_call.objects.all()
return render(request,'station.html',
{'all_items': all_station_items})
|
6048f7ed21eae09af41d2a43211677f9bfa771ef | 9cc5c031460eda82b29da2cff37c2ce47732b6c2 | /model/xgboost/main.py | aabee9fadbc4395bed6778467f9ecde91bdc2886 | [] | no_license | carlos-bologna/auto-machine-learning | fc55296a674ef80a4acba286e16b25fe13f107e0 | 52e057eb3b14d104b75679ccaf241759c2406c1c | refs/heads/master | 2023-07-01T00:25:56.141595 | 2021-08-07T18:33:52 | 2021-08-07T18:33:52 | 393,756,369 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,311 | py | main.py | # Modules
import argparse
import logging
import json
import pandas as pd
import joblib
import scorecardpy as sc
import shap
import matplotlib.pyplot as plt
from sklearn.pipeline import Pipeline
from sklearn.metrics import accuracy_score, roc_auc_score, confusion_matrix
from scipy.stats import uniform, randint
from cust... |
d7e71d71632d276ccc22c9044f07a0253b56f46b | 8350ed8175ec3f43553535cbd2428e774ed3b2fd | /train.py | 69620a594f176bcb03af6e8d9f87af5b13dbc9c8 | [] | no_license | IThzf/SetE_Pytorch | 0220b9b83813ba4b9202a3d716d7646e7fb85a20 | 323e4a21e07b3c001308e9dc040366eaa31727b0 | refs/heads/master | 2023-06-10T21:13:41.596888 | 2021-07-06T12:41:31 | 2021-07-06T12:41:31 | 383,408,595 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,683 | py | train.py | import argparse
from datetime import datetime
import argparse
import torch
from tqdm import tqdm
import random
import numpy as np
import logging
from gensim.models import KeyedVectors
import re
from collections import defaultdict
import os
from os.path import join, exists
from torch.utils.data import Dataset, DataLoade... |
91432a535b6a75c9ba32379ab85ad29a9de0a653 | 304da55817b547ca2b4cab9c70a883fcf616261e | /day8/ex-2.py | 3ac44d28ec807973fd1824e80d13987a40af4a86 | [] | no_license | jeshu/Python-learning | aaad811a4685a5302fe168508b6464eeba9260da | 3a10f2b09d37d12fc2e78e9e22cf99afa4717b0d | refs/heads/main | 2023-03-11T17:35:12.576729 | 2021-02-22T16:26:28 | 2021-02-22T16:26:28 | 336,346,690 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 362 | py | ex-2.py | # Prime numbers checkered
n = int(input('Check this number: '))
def prime_checker(number):
isPrime = True
if number <= 1:
isPrime = False
for i in range(2, number):
if n % i == 0:
isPrime = False
if not isPrime:
print('Not Prime number')
else:
print(... |
4f8008bd6fe44f08867ed0e575f9f11fc50f9556 | 2be3fd36240aad909aa49e58fb087f3420787a0c | /config/config.py | 86b6428e70e14f2346a0b93615915a49268ab36c | [] | no_license | spencereir/dai-chan | c4df7a5e2d83148abfd7e09bf4def45ff0154f77 | 4a97e6b0b23e0909b01d204e2c8ee04239f737f5 | refs/heads/master | 2021-10-14T08:47:28.451265 | 2017-12-19T00:00:07 | 2017-12-19T00:00:07 | 113,642,223 | 0 | 0 | null | 2017-12-18T23:52:33 | 2017-12-09T04:41:16 | Python | UTF-8 | Python | false | false | 548 | py | config.py | from commands import random, general, admin, games, sound, fun
bot_names = ['dai', 'dai-chan', 'daichan', 'daiyousei', 'small cirno']
command_map = {
'choose|pick': random.choose,
'roll|calc|calculate': random.roll,
'reorder|shuffle': random.reorder,
'say': general.say
}
interactive_command_map = {
... |
545794cf4f0b2ab63b6a90951a78f8bdaca3c9e6 | 6fa7f99d3d3d9b177ef01ebf9a9da4982813b7d4 | /rbeuWab36FAiLj65m_8.py | acefa118e546cdcdca809a6912da010d16a7d953 | [] | no_license | daniel-reich/ubiquitous-fiesta | 26e80f0082f8589e51d359ce7953117a3da7d38c | 9af2700dbe59284f5697e612491499841a6c126f | refs/heads/master | 2023-04-05T06:40:37.328213 | 2021-04-06T20:17:44 | 2021-04-06T20:17:44 | 355,318,759 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 220 | py | rbeuWab36FAiLj65m_8.py |
from collections import defaultdict as dd
def grouping(w):
d = dd(list)
for k,v in ((len([y for y in x if y.isupper()]), x) for x in sorted(w,key=str.casefold)):
d[k].append(v)
return dict(sorted(d.items()))
|
ab844143ceddf32982682f5092762af0c97db577 | b1629420113e3a2f7ab89eb85c381d10ba62c81e | /parse/translators/c_trans.py | 13cd8bef65ff78f75e96a9105578d791d0383d62 | [] | no_license | csboling/pdftoregs | dee466ddf67e4fa82ff9875477224bcb0f1314c5 | 2dd618d9be42eb7a3319a57d76627afc3984772f | refs/heads/master | 2021-01-22T10:02:37.933187 | 2015-08-18T19:40:36 | 2015-08-18T19:40:36 | 35,638,627 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 48 | py | c_trans.py | from ..translators.translator import Translator
|
0762c5bec2d796bb7888e3de45e29fb20f88f491 | 04a643a77927bc56ab58c7df91d4733321e61e51 | /browser_plots/GE_pearson.py | 59e5749afea76232a90960eed91ac32fbe6474f9 | [] | no_license | dcollins4096/p19_newscripts | d2fae1807170a4d70cf4c87222a6258211f993ff | 23c780dd15b60944ed354406706de85282d0bee6 | refs/heads/master | 2023-07-21T11:53:55.188383 | 2023-07-18T17:38:21 | 2023-07-18T17:38:21 | 215,159,839 | 0 | 3 | null | null | null | null | UTF-8 | Python | false | false | 5,245 | py | GE_pearson.py |
from starter2 import *
from collections import defaultdict
import scipy
import colors
import hair_dryer
reload(hair_dryer)
import three_loopers_u500 as TL
import movie_frames
def GE_pearson(this_looper,core_list=None):
if core_list is None:
core_list = np.unique(this_looper.tr.core_ids)
name = th... |
7bbbd30ba1578c1165ccf5c2fff22609c16dfd64 | 683b726ff29e0263e369f615eddcdd72792779de | /Aula11b.py | 575605827dfb46b53d5d3cb01703d062ea86c06f | [
"MIT"
] | permissive | katiareis/Python-Learning-Lab | e882c995eaafa3566be2ee5a03e0a752f0b696e0 | f3ee9ab8fbe65018ae00f892b807c2a438fdf556 | refs/heads/master | 2022-12-04T22:40:38.901675 | 2020-09-03T03:35:31 | 2020-09-03T03:35:31 | 256,342,605 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 437 | py | Aula11b.py | """
Cores no terminal
"""
a = 3
b = 5
print('Os valores são \033[32m{}\033[m e \033[31m{}\033[m !!!'.format(a, b))
# Dicionário de cores:
nome = 'Kátia'
cores = {'limpa':'\033]m',
'azul':'\033[34m',
'amarelo':'\033[33m',
'pretoebranco':'\033[7;30m'}
print('Prazer em te conhe... |
8ca77ed608108a9aa693acb686156e661794d7ab | d06a84782bd3a022de11fcc9dd634b514257a3d3 | /023 - Sum integers that aren't the sum of 2 Abundant numbers.py | e56033288ef1808a4c1b41e0d6acd57a18fa3ab0 | [] | no_license | jsundram/euler | 0c301ad09fd95173ea9751f8e108f302e347b3b8 | 907e636f6d6e34dad5a228087baae4c8d0b09f30 | refs/heads/master | 2016-09-06T12:03:44.012502 | 2013-02-01T06:22:03 | 2013-02-01T06:22:03 | 1,256,230 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,761 | py | 023 - Sum integers that aren't the sum of 2 Abundant numbers.py | # A perfect number is a number for which the sum of its proper divisors is exactly equal to the number.
# For example, the sum of the proper divisors of 28 would be 1 + 2 + 4 + 7 + 14 = 28,
# which means that 28 is a perfect number.
#
# A number whose proper divisors are less than the number is called deficient a... |
b5ac3695a224d531f5baa53a07d3c894d44e8c4c | a659c2f45350cd1750238eda65b650b2cdcc9d1d | /UART_py3/ADC_INL.py | 5407c9577540f1a4073ba05eef51bcaaeed72d19 | [] | no_license | MaryKBoss/GUI-lpGBT | 866db95986dbc3c4e1b158b9c2ad1eb605b423eb | 6ef72c73bd211fe516eb03dec9f9ec57d07a203a | refs/heads/main | 2023-06-24T04:58:20.324319 | 2021-07-22T16:06:42 | 2021-07-22T16:06:42 | 386,376,535 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,075 | py | ADC_INL.py | import matplotlib.pyplot as plt
Ci_MSB = [32,16,8,4,2,1]
Ci_LSB = [16,8,4,2,1]
CB = 1
CP_B = 0
CP_LSB = (32-1)*(CB+CP_B-1)+10
print(CP_LSB)
CP_MSB = 0
Csum_LSB = sum(Ci_LSB)+CP_LSB
Csum_MSB = sum(Ci_MSB)+CP_MSB
Cx = Csum_LSB*Csum_MSB+(CB+CP_B)*Csum_LSB+(CB+CP_B)*Csum_MSB
Wi_MSB = [Ci_MSB[i]*(CB+CP_B+Csum_LSB)/Cx for i... |
c9d12f14fa0e46e4590746d45862fe255b415a1d | 2f1bde1788642b637da63471495fb47102dc5b0b | /chcemvediet/apps/obligees/templatetags/chcemvediet/obligees.py | d8ecde93ea9ce95dd10f0492423dcba5c3f9abca | [] | no_license | martinmacko47/chcemvediet | 841c9c8529f1e1a552138ec23c715e9750a127db | 945cb89f37272d79dc38370c7fb481380a3d8472 | refs/heads/master | 2022-07-14T19:31:46.448495 | 2022-05-31T17:01:53 | 2022-05-31T17:01:53 | 13,114,888 | 6 | 5 | null | 2022-05-31T17:01:53 | 2013-09-26T06:41:40 | Python | UTF-8 | Python | false | false | 538 | py | obligees.py | # vim: expandtab
# -*- coding: utf-8 -*-
from poleno.utils.template import Library
from chcemvediet.apps.obligees.models import Obligee
register = Library()
@register.simple_tag
def gender(gender, masculine, feminine, neuter, plurale):
if gender == Obligee.GENDERS.MASCULINE:
return masculine
elif gen... |
58e023c3c453d1e190fdb5bc457358f42d1bd93f | c1468b2478d6aa5d632fea9e91461327e3b33511 | /Arrays/smallerNumbersThanCurrent.py | f8c16c1186d232b22ee61b7e006749bd827c4326 | [] | no_license | AbdussamadYisau/ds-and-algos | d2d4e6dccc7ae91f0bcdfc99778efd2b6b48c5df | 73c2d6a2416109807f31698a8ae508407fbb3996 | refs/heads/master | 2021-11-29T14:16:07.072987 | 2021-11-11T10:20:18 | 2021-11-11T10:20:18 | 220,220,927 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 920 | py | smallerNumbersThanCurrent.py | # https://leetcode.com/problems/how-many-numbers-are-smaller-than-the-current-number/
# BruteForce
class BruteForceSolution:
def smallerNumbersThanCurrent(self, nums):
answer = []
for num in nums:
counter = 0
for i in range(len(nums)):
if n... |
b4b7e20c9558bd1b29a1c1fa24bfca8a2d292b27 | 6a8165c268ed873a7a92bfa4417968a472442de9 | /join_routes.py | 85562d3690b697b36e975fe178576d53f05c41bc | [] | no_license | storress/MasterScripts | 9e172dec14808d2c3b144a9ea5697eb8555ba653 | 3ed46711e64846bd8994a7c6a2ca48842f3528c3 | refs/heads/master | 2023-06-03T19:04:04.643487 | 2018-12-07T18:11:55 | 2018-12-07T18:11:55 | 155,873,977 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,358 | py | join_routes.py | import xml.etree.ElementTree as ET
#tree = ET.parse('rutas/rutas_prueba.xml')
#treeToAdd = ET.parse('rutas/rutas_prueba_agregar.xml')
#root = tree.getroot()
#git rootToAdd = treeToAdd.getroot()
#for child in root:
# for test in child:
# print(test.tag, test.attrib)
#for elem in root.iter():
# print(... |
97bbb181cbc0f5bfbf0b2298133fc226b6217d91 | 60860b1716b075936f1564cdff465cf5d6d6fd06 | /faceRecognition/Triplet Loss/train_triplet_batchnorm.py | b5830470b6cdc1bd927f2c12e73c280514ddafda | [] | no_license | qzq2514/DNNCode | 98661184d7656054d027982dcfd2d032fe048153 | e40c98a00ecc28ae6ebe74719cad964b7f64c9d7 | refs/heads/master | 2022-03-12T20:40:06.628328 | 2019-12-08T08:10:18 | 2019-12-08T08:10:18 | 190,164,703 | 4 | 1 | null | null | null | null | UTF-8 | Python | false | false | 7,018 | py | train_triplet_batchnorm.py | import tensorflow as tf
from tensorflow.python.framework import graph_util
from net import siameseNet_batchnorm as siameseNet
import dataset
import numpy as np
import cv2
import os
batch_size=64
input_height=32
input_width=32
total_epoch_num=50
snapshot=100
support_image_extensions=[".jpg",".png",".jpeg",".bmp"]
margi... |
1d81280d10921b012e4bfb04830e3381d5914746 | ab0d82836b1dc5950058018afaac037aa526ffda | /src/run.py | 211517c8b207fa68b1f145fae11cfad1de19ff9f | [] | no_license | rtrive/flatten-arrays | 77e80f7172bbcaf90069da319ba018bcb3c340db | d6e83dfa6d3fa27147063dae8e20491a5a1ab51a | refs/heads/master | 2023-04-01T14:10:47.805158 | 2021-04-12T17:04:45 | 2021-04-12T17:38:50 | 357,275,360 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 903 | py | run.py | import logging
logging.basicConfig(level=logging.INFO)
def flatten_array(array: list) -> list:
"""
Take array as input and check if there are arrays inside.
Transform array of array into single array and return it
Parameters
----------
array: list
"""
if len(array) == 0:
ret... |
0cb5c60689ad3de28ea9bcdfa17f796a05505775 | 959f0ae386dae7a2aff8fb77c6ed793f778b63aa | /courses/admin.py | 8cf608b5702d128e9507c3f6f22dbba719851c35 | [] | no_license | milan090/col | 9c512bdda26556f3ab622fdf961eb02b89396426 | f07408b3cd5d3387b6a143febc277d559595ce97 | refs/heads/master | 2022-06-22T02:04:47.461178 | 2019-12-20T03:59:04 | 2019-12-20T03:59:04 | 224,069,526 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 211 | py | admin.py | from django.contrib import admin
from .models import Course, CourseLesson, UserCourses
# Register your models here.
admin.site.register(Course)
admin.site.register(CourseLesson)
admin.site.register(UserCourses) |
6a7a49f79ca6d74f827815dd775b5c9d7442e69b | 805c15042ce1014fd5c557574c203179d797de7d | /CV_semantic.py | 67bcbfef46ea2e4838485dbdb113452b2d7739ae | [] | no_license | abhaypuri/StreamAI | 5c5e76c0f98b4e83225f61b273e220aefd2d1193 | 6d2aba0af67839a96051b4d165f6d83d22a77980 | refs/heads/main | 2023-01-29T12:12:08.543234 | 2020-12-14T20:22:02 | 2020-12-14T20:22:02 | 319,606,156 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,851 | py | CV_semantic.py | import numpy as np
import imutils
import time
import cv2
import streamlit as st
import matplotlib.pyplot as plt
def semantic_segmentation():
st.title("Semantic Segmentation")
st.write("Semantic Segmentation using OpenCV. Can detect various aspects adn parts of an cityscape image using enet.")
# load the cl... |
4c58e1d045b3bf03a70bb6fe86eb2cde34224c8e | b0e6e1d37560d10ba1b7e517f264953a067aab9c | /Connecttoadevice.py | 3f3a45571550547bdf99f8f44f2667f3b5c679f6 | [] | no_license | dtmilano/MySpotifyTestScript | 77017c8d3fd492683fb24cf6515388c9cb2f2e59 | 33e5a3b15ad646c134279ae1e6e1a97ee8960294 | refs/heads/master | 2023-07-31T18:35:15.189639 | 2018-01-30T13:15:07 | 2018-01-30T13:15:07 | 119,570,562 | 1 | 0 | null | 2018-01-30T17:33:41 | 2018-01-30T17:33:41 | null | UTF-8 | Python | false | false | 8,304 | py | Connecttoadevice.py | #
# find the device in id/device_list
#
def find_device(vc,arg,touch=None): # arg tgt_device_display_name:
ATTEMPTS = 4
# refer AndroidViewClient-13.6.2/src/com/dtmilano/android/viewclient.py line 2045
for i in range(ATTEMPTS):
# android___id_list = vc.findViewByIdOrRaise("android:id/list")... |
ea410e0b0c2f7d66aedbe5230ebd425bf5823142 | 41960a07a8118cf99236972c1e94a36ef00c55c9 | /user_input/management/commands/populatehrrforuser.py | c0162453ec1f9c87dc3890e805f1fd647764e67a | [
"MIT"
] | permissive | wahello/jvb | 7288f3fc8099dbbdfa5cdac86b251d4d739f4dca | c87fdf49ae040668323d1a034aa407cfe23c4a1d | refs/heads/bug/aa_ranges/chart2 | 2022-11-29T12:58:37.561674 | 2019-06-17T10:50:17 | 2019-06-17T10:50:17 | 211,479,327 | 0 | 1 | MIT | 2022-11-19T02:54:15 | 2019-09-28T09:52:28 | null | UTF-8 | Python | false | false | 4,402 | py | populatehrrforuser.py | from datetime import datetime
import logging
from django.core.management.base import BaseCommand, CommandError
from django.contrib.auth import get_user_model
from hrr.views import hrr_data
logger = logging.getLogger(__name__)
def _str_to_datetime(str_date):
'''
Convert date string to datetime object
Args:
st... |
271e23824786ae8c22d34cf65aa227d9078c56f9 | 4f5c5117366929d51f282f2caf003ca6f5afc2fa | /All20/Air/intent_xml_generator.py | 54bade6ea63fddadeb36d183bd8283a071448a4b | [] | no_license | firebitsbr/Visualization-ICC-attacks-in-Android-apps-ecosystem | f534396ecd9e9edf6391915ab11a346a3aa76bbd | e24adde19f5adb2947647a91d2dec15ea517b958 | refs/heads/master | 2020-06-04T12:56:36.669667 | 2017-06-14T21:43:38 | 2017-06-14T21:43:38 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,045 | py | intent_xml_generator.py | import lxml.etree
import lxml.builder
E = lxml.builder.ElementMaker()
ROOT = E.root
DOC = E.doc
intent = E.intent
sender = E.sender
action = E.action
intentname = E.intentname
the_doc = ROOT(
DOC(intent(
intentname('com.sand.airdroid'),
sender('com.sand.airdroid.view.SDWebView'),
action('"android.intent.action.VIEW"')... |
8d3237d216b0fe38344262313146e80a44bd906a | f682a843605bbd550457d387d94478535f6e244f | /webchecker/cafeteria_parser.py | 4087dc739c0d2872ef3015b81c351e1b0ba4f168 | [] | no_license | Beomi/UpdateNoticeBOT | 4dd51ce81b415a9ee031d55a6347e4447d290a66 | 8d989014311d2751fc9d7a21e37957fadfc6a6c7 | refs/heads/master | 2022-12-11T19:42:23.273376 | 2017-01-23T13:38:03 | 2017-01-23T13:38:03 | 77,928,283 | 1 | 0 | null | 2022-12-07T23:40:05 | 2017-01-03T15:18:25 | Python | UTF-8 | Python | false | false | 923 | py | cafeteria_parser.py | import requests
from bs4 import BeautifulSoup as bs
import re
from datetime import datetime
def _get_menus():
html = requests.get('http://portal.snue.ac.kr/enview/2015/food.jsp').text
soup = bs(html, 'html.parser')
daily = soup.select(
'tr'
)
re_date = re.compile('(\d{2}[/]\d{2})')
me... |
b3948ffb2d57699875ea821ab1d75845327a60c5 | 5d3af71c0f6ac507270bdacc377d5ec7451b9480 | /attendance_request/views.py | aa01340d295d81377b786aa5c5fe6bdb63755964 | [] | no_license | KedarisettiSreeVamsi/crportal | 1b9bd8456f5fb1336b35b69592dcbf662b923328 | af3f24d0ca4a5723ee752266ca08163c07b9a8e3 | refs/heads/master | 2023-02-25T19:08:38.906445 | 2021-01-18T11:18:15 | 2021-01-18T11:18:15 | 330,643,198 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,830 | py | views.py | from django.shortcuts import render, redirect, get_object_or_404
from .forms import *
from django.contrib import messages
from django.contrib.auth.decorators import login_required
import random
import string
from .models import AttendanceRequest
from django.contrib.auth.models import User
from django.views.generic impo... |
7684f4b697682792c37b73b53d9888e0cf74d720 | b53128afc5af6aca59a161214ebd383b2a275658 | /alembic/versions/2f648f6f738c_create_stratux_table.py | 284f8e18f178c45503063bc1dc4c1647db7ced56 | [] | no_license | frankzhao/pystratux | 47b153746b8f221d825be011785e8427788bc085 | 610eb1a1ba79eda536935cbae4a6add923fdac62 | refs/heads/master | 2020-03-12T14:49:56.261171 | 2018-08-24T06:39:54 | 2018-08-24T06:39:54 | 130,677,212 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,634 | py | 2f648f6f738c_create_stratux_table.py | """create traffic table
Revision ID: 2f648f6f738c
Revises:
Create Date: 2018-04-25 20:54:56.571121
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects.postgresql import UUID
# revision identifiers, used by Alembic.
revision = '2f648f6f738c'
down_revision = None
branch_labels = None
depends_... |
7f2a54f02519ad982a9024f2f4c861f3b5823505 | d5351d0e95105bd01a69e983dfccd0a62ed17009 | /app.py | e79df1a737eaad401fe0451fcfe7b83192664a62 | [
"MIT"
] | permissive | purwnt/customer-service-chatbot-app | f0e03f33fbc14e9f01946b45e9849b053bc2dc8d | 519caacc8557de04e1557456b852e66fea641ff4 | refs/heads/master | 2022-12-09T23:10:18.659317 | 2018-07-23T23:32:03 | 2018-07-23T23:32:03 | 140,462,619 | 0 | 1 | MIT | 2022-11-22T21:14:44 | 2018-07-10T16:52:39 | Python | UTF-8 | Python | false | false | 1,953 | py | app.py | # -*- coding: utf-8 -*-
from flask import Flask, render_template, request
from chatterbot import ChatBot
from chatterbot.trainers import ChatterBotCorpusTrainer, ListTrainer
from Sastrawi.Stemmer.StemmerFactory import StemmerFactory
from flask_pymongo import PyMongo
#Flask
app = Flask(__name__)
mongo = PyMongo(app)
... |
ce7044b7ca74fe23bf936b882c45bee10dfe1780 | cbee2fee9d91559b0db43c1050feeb1cd278183d | /plot/plot_janik.py | cc6d4d9e4a0ee2dfa7f54931d61de4b85282245e | [] | no_license | cbernet/fcc-ee-higgs | dec6e7963d640cd20eea65b7e8cbfa1d370b4e6d | 8f7ebdae52b19ad1829173f08145a81e0d090aa9 | refs/heads/master | 2021-01-20T07:43:12.188590 | 2018-10-18T14:53:36 | 2018-10-18T14:53:36 | 90,035,545 | 0 | 3 | null | null | null | null | UTF-8 | Python | false | false | 863 | py | plot_janik.py |
import sys
from cpyroot import *
from ROOT import TGaxis, TFile
from tdrstyle.tdrstyle import setTDRStyle
setTDRStyle(square=True)
from fitter2 import TemplateFitter
rootfile = TFile("Janik/histos_noscaling.root")
histos = dict()
histos['ZH'] = rootfile.Get('HS')
histos['ZZ'] = rootfile.Get('ZZ')
histos['qqbar'] =... |
f5dbe079e308e5f2386e0fada958c7a2ac0e1108 | 2d6937b17670af429daf23eb5145296611c8789c | /pandas/tests/generic/test_panel.py | 73b8798661011cebe8aed8c67f5ab3688edd6b74 | [
"BSD-3-Clause"
] | permissive | vladserkoff/pandas | 44fb187cf36739298dc4da25d5605137f9558f8d | 5f73594d49ea06ada4c6779006c00aaf41935595 | refs/heads/master | 2020-04-22T03:32:47.784186 | 2019-02-09T23:38:55 | 2019-02-09T23:38:55 | 170,091,225 | 0 | 0 | BSD-3-Clause | 2019-02-11T08:11:43 | 2019-02-11T08:11:42 | null | UTF-8 | Python | false | false | 1,195 | py | test_panel.py | # -*- coding: utf-8 -*-
# pylint: disable-msg=E1101,W0612
from warnings import catch_warnings, simplefilter
from pandas import Panel
from pandas.util.testing import assert_panel_equal
from .test_generic import Generic
class TestPanel(Generic):
_typ = Panel
_comparator = lambda self, x, y: assert_panel_equa... |
3e8936cee51864313dbbdecad8dd95517a92e387 | 8f48d12b88048e424ebb0d72ca6dfab5cf12ae0f | /0001_0599/461.py | 4ffc707a50056edae751806c865f32b3d1dc81e3 | [] | no_license | renjieliu/leetcode | e1caf13c18a8107ed9252588b339fb76bcb1b246 | 4668b64fcb9320b6c316d8608fc61911ce43b6c7 | refs/heads/master | 2023-03-18T18:16:06.187741 | 2023-03-14T20:31:59 | 2023-03-14T20:31:59 | 128,823,819 | 7 | 0 | null | null | null | null | UTF-8 | Python | false | false | 769 | py | 461.py | class Solution:
def hammingDistance(self, x: int, y: int) -> int:
cnt = 0
x^=y
while x > 0 :
cnt += x%2
x >>= 1
return cnt
# previous approach
# def hammingDistance(self, x: int, y: int) -> int:
# return bin(x ^ y).count('1')
# def hammingDista... |
0c7afdbfc61338b93f15daaa6bc70ccafe071cca | d37305d6c7cde93f22d6d9649424ec16857f01d9 | /24q.py | 8c6f2e30d8ac51b1aa03465eec296367e711cc1d | [] | no_license | poojageorge/sample | 1275c5968ff323682f2da3940fe5a9fcb1142682 | 0871d4385b070d4d0012df8fe981c12ab1b79278 | refs/heads/main | 2023-03-15T01:55:50.706935 | 2021-03-26T08:45:33 | 2021-03-26T08:45:33 | 351,710,226 | 0 | 0 | null | 2021-03-26T08:45:34 | 2021-03-26T08:20:14 | Python | UTF-8 | Python | false | false | 68 | py | 24q.py | num1 = 1.5
num2 = 6.3
num3 = 5.3
sum = num1 + num2 + num3
print(sum) |
cc6442bd5ac3442142718a76350fcfddc039e1ac | 9972da3e1cc8fdab3e2f43fcde3a4aecac6e041a | /current_rot.py | ef756a6e8faf45eb73b725642b3858cd969f2b11 | [] | no_license | sgill2/mc | b61628ab8349c6245cc2d1a8aafa9d3d3d819950 | 08cbc358c42417bf69517fc90ea7a63c3af580a3 | refs/heads/master | 2020-04-17T15:18:31.610956 | 2016-09-12T19:18:35 | 2016-09-12T19:18:35 | 66,963,017 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 39,352 | py | current_rot.py | from simtk.openmm.app import *
from simtk.openmm import *
from simtk.unit import *
from ncmc_switching import *
import mdtraj as md
#from alCorrect import *
from openmmtools import testsystems
import math
from alchemy import AbsoluteAlchemicalFactory, AlchemicalState
import numpy as np
from mdtraj.reporters import HDF5... |
342a6d29e84d9d57d48b1bf7eab32677449cbca7 | e4069707880aa6848627d29cd800bb900c6e746a | /Python_basics/18. Intro to Bitwise Operators/13. just Flip Out.py | 8008d38d553e68d977a978f0f64eb41d02473379 | [] | no_license | akhil9tiet/Learn_Python_on_the_go | 721438cd8a403b00c8213ac780108ec64acfbeef | 8dd01e849ea822d86953669a2418af757ce1266f | refs/heads/master | 2021-01-18T21:07:36.993478 | 2016-06-13T19:04:55 | 2016-06-13T19:04:55 | 53,606,930 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 224 | py | 13. just Flip Out.py | # 13. just flip out
"""Using the XOR (^) operator is very useful for flipping bits. Using ^ on a bit with the number one will return a result where that bit is flipped. """
a = 0b11101110
mask = 0b11111111
print(bin(a^mask)) |
4dd3f060b189ba7b0626050ef97ea29af4bda7b1 | 24c45c23a90c4b7114853a5e3cab72e9d9214777 | /apps/movies/mixins.py | 74457ca05c500fca1fc5292cc6847ab198bb3df3 | [] | no_license | ierika/sf_movie_locations | 29928f480a4b2dcfaa275c9559883e1515a10061 | 9725c1f34b8254bd0100f159c151ac250820fcdf | refs/heads/master | 2022-12-15T01:09:01.065047 | 2018-05-30T14:17:25 | 2018-05-30T14:17:25 | 128,761,198 | 0 | 0 | null | 2022-12-08T00:52:29 | 2018-04-09T11:26:47 | Python | UTF-8 | Python | false | false | 320 | py | mixins.py | from .api import MovieApi
class GetApiMixin:
api_error = None
keyword_name = None
def get(self, request, *args, **kwargs):
keyword = request.GET.get(self.keyword_name)
if keyword:
self.api = MovieApi.fetch(request)
return super().get(self.api.request, *args, **kwargs)
|
8b8a11f58b513e5ec89688e3034e7c9ce5242ab6 | c1c7214e1f9230f19d74bb9776dac40d820da892 | /call_selenium.py | 963e566d0d04c97aba470af058391460336f2e4e | [] | no_license | FujitaHirotaka/djangoruler3 | cb326c80d9413ebdeaa64802c5e5f5daadb00904 | 9a743fbc12a0efa73dbc90f93baddf7e8a4eb4f8 | refs/heads/master | 2020-04-01T13:32:28.078110 | 2018-12-13T00:39:56 | 2018-12-13T00:39:56 | 153,256,642 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 420 | py | call_selenium.py | from selenium import webdriver
import time
import sys
args=sys.argv
with open(str(args[2])+"\\footer_origin.html", "r",encoding="utf-8_sig") as f:
lines=f.read().replace("----***----***----", str(args[1]))
with open(str(args[2])+"\\footer.html", "w",encoding="utf-8_sig") as f:
f.write(lines)
driver = webdriv... |
b9ace7da907668b24112a7c7939354a1e3a00b45 | 6fec6b5538f499f94cdda3da7ffc2e3310758191 | /ocra/admin.py | f145bd066119ed3759c05c85104817e9becf7548 | [] | no_license | icantero1975/deposito | ec2556632d077eb51baf4b5dfb95754d49e6b5b2 | e6afb8b63fd8413c96f9a4b560a2cdc4c9f14e3e | refs/heads/master | 2023-05-01T05:11:09.069804 | 2019-07-15T19:04:15 | 2019-07-15T19:04:15 | 197,054,400 | 0 | 0 | null | 2023-04-21T20:37:12 | 2019-07-15T18:49:15 | HTML | UTF-8 | Python | false | false | 1,182 | py | admin.py | from django.contrib import admin
from ocra.models import *
# Register your models here.
admin.site.register(remite)
admin.site.register(vigilante)
admin.site.register(grua)
admin.site.register(deposito)
admin.site.register(Oficio)
admin.site.register(vehiculo)
admin.site.register(devolucion)
#class adminautoridad(ad... |
4cd3d6b4ae257668d7d421312b9c1dd349fd07ca | 90d285f3e3386c037abd673c584e94fbe3c29e44 | /Demos/HC05-Controle-Exemplo/python-pyautogui/youtube_controller.py | 1e0f3ac433271655ce7d90f37d079b53320d3ce6 | [] | no_license | Insper/SAME70-examples | 56311eee853d1f70599466da2a6e203a0eb5c794 | 03d898852ffc0e59a70b7fc93d5d7fc699953d4d | refs/heads/master | 2023-08-02T22:41:56.640303 | 2023-07-26T22:24:23 | 2023-07-26T22:24:23 | 144,058,688 | 9 | 42 | null | 2022-12-14T15:21:45 | 2018-08-08T19:27:26 | C | UTF-8 | Python | false | false | 2,339 | py | youtube_controller.py | import pyautogui
import serial
import argparse
import time
import logging
class MyControllerMap:
def __init__(self):
self.button = {'A': 'L'} # Fast forward (10 seg) pro Youtube
class SerialControllerInterface:
# Protocolo
# byte 1 -> Botão 1 (estado - Apertado 1 ou não 0)
# byte 2 -> EOP - En... |
39a19f8b613269808124025341a5d9be82c836f9 | 6ef8e69f7903a15572a496f8e247ee5dc00979b7 | /modified/wordpair_processing.py | 268de80d38a816df14695ec022aa05efee5eca98 | [] | no_license | csl-622/concept_graph | 55f3343dcbf195cc457a2dddbbc41a204470aa6f | 417d172a4957a50eb647fb4677ad11cc1b9b13b0 | refs/heads/master | 2020-04-01T07:06:21.442272 | 2018-12-01T15:32:37 | 2018-12-01T15:32:37 | 152,976,603 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,356 | py | wordpair_processing.py | import os
from collections import Counter
from multiprocessing import Pool
import util
import multi_processing
class WordPairsProcessing(object):
def __init__(self, max_vocab_size, min_count, window_size, dicts_folder, edges_folder, graph_folder,
safe_files_number_per_processor):
self.max_vocab_size = max_voc... |
4fde59cc06b0eccb28b8c0671b6491ef56ab2275 | d0dc6429c5d4e3c299dac727de05095c451d5b3d | /src/models/omdb.py | f826e6ae3575f28e9c3cb9b59d17135d5387418c | [] | no_license | goldenrati0/newscred-movie-catalog-backend | 1b80a94548d0a517d5de7e53a222f3207a1b519a | e03951125bb575dcbc26ca4e3a9a83539e70fa16 | refs/heads/master | 2022-02-10T20:18:29.103384 | 2019-07-14T08:03:12 | 2019-07-14T08:03:12 | 194,417,354 | 4 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,777 | py | omdb.py | import json
from typing import Dict, List, Any, Union, Optional
import requests
from requests.models import Response
from src.models.movie import MovieFactory
from src.core.flask_app import app
class OMDBClient(object):
_params: Dict[str, Any] = {}
_headers: Dict[str, Any] = {}
def __init__(self, **kwa... |
1d5b7dbc4a00bcc4e9242579913a3a940a7aa42c | d53d98e6e476ad008d2250d6b1465cba1e931053 | /01-크롤링과_스크레이핑/1.데이터_다운로드하기/download_forecast_argv.py | 70ccf35daae13823093653f20b36197a15040089 | [] | no_license | Hyo-Seong/machine_learning_tutorial | 1a052325fa25a028cac13354111acd98f16a0040 | 56694fd3631140abcf858737887792a0f52e9880 | refs/heads/master | 2020-04-11T16:11:04.101825 | 2019-01-15T19:50:39 | 2019-01-15T19:50:39 | 161,915,458 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 831 | py | download_forecast_argv.py | import sys
import urllib.request as req
import urllib.parse as parse
# 여기서 as는 alias(별칭)을 뜻함.
if len(sys.argv) <= 1:
print("USAGE: download_forecast_argv <Region Number>")
sys.exit()
regionNumber = sys.argv[1]
API = "http://www.kma.go.kr/weather/forecast/mid-term-rss3.jsp"
values = {
'stnId' : regionNumbe... |
a0b5d451491d2c899fc1d24d2e8424b8896656ab | e63acec789f51712c64e7399cad33e864bc5809d | /closest_centrality.py | 84f4fa0eae51d3014a108f0f0d5905f3ff8b02ea | [] | no_license | x-Shen/graph_problems | e107dbd0721fc01ac1eb5051949e0b6b65cb45f1 | 99a8c8a385e27ca1a58443862b7527419b6b2d27 | refs/heads/master | 2021-01-24T07:16:33.554036 | 2017-06-08T20:07:52 | 2017-06-08T20:07:52 | 93,337,186 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,093 | py | closest_centrality.py | from queue import PriorityQueue
import math
class closest_centrality:
def __init__(self,graph):
# graph in python dictionary representation
self.graph = graph
def dijkstra(self, v):
d = {}
pq = PriorityQueue()
for vertex in self.graph:
d[vertex]... |
c635580dbe8a4711393eeaac49151ec9cf1f912d | 252974316cf3b44afa550ea202abe67b474d698e | /recipies/python/paulwinex/projectManager/widgets/projectManager_UI.py | ad4c87b690b66784a59c93c324d4876e79cbaab6 | [] | no_license | igor-si/shared | 22892dc1c93d97591495ed48dbeecd741bdd6dfd | 45301c31814e87a6e5a28d857e9b2ef6421b5c16 | refs/heads/master | 2020-07-17T12:35:33.425496 | 2019-12-17T08:36:48 | 2019-12-17T08:36:48 | 206,020,718 | 1 | 2 | null | null | null | null | UTF-8 | Python | false | false | 4,663 | py | projectManager_UI.py | # Importing everything from hou py plugins
# if(__name__=='__main__'):
# import os
# os.environ['PATH']+='/studio/tools/hou/builds/hfs16.0.600/bin'
# from PySide2.QtCore import *
# from PySide2 import QtCore, QtGui, QtWidgets, QtUiTools, QtUiTools
from PyQt4 import QtCore, QtGui
try:
_fromUt... |
e63eef2e0ef71ac6c2073c37ae589c93e5e95245 | 1c2b38f28abcc73da88127e6ca5b8c50ec6e2cb0 | /src/timeline/views.py | 43e38a11dcf84f48e607d8a888f93b2c7d40af08 | [] | no_license | muhammad-mamdouh/wall-app | 646d000732391ca4c8fa78b7add2f360e570d055 | e8aeb081fd7164e9a02eed1456735e7e7fd851cc | refs/heads/master | 2022-06-14T14:19:33.944170 | 2019-09-05T16:18:07 | 2019-09-07T14:32:31 | 206,570,121 | 0 | 0 | null | 2022-05-25T03:26:14 | 2019-09-05T13:25:47 | Python | UTF-8 | Python | false | false | 4,525 | py | views.py | from django.views.generic import (
ListView,
DetailView,
CreateView,
DeleteView,
UpdateView,
RedirectView,
)
from django.contrib.auth.mixins import LoginRequiredMixin
from django.urls import reverse_lazy, reverse
from django.shortcuts import get_object_or_404
from django.contrib import messages
... |
3c294bfdb78b3d3570dbeb0da98a3feb01f5f3b2 | 815340218d6290adbfbd57c591e17eb4d4411cf5 | /google_data/map.py | 3f83a72bd31a18257d5d68d37d039bcd21c234f4 | [] | no_license | briron/chatbot | ca915490163994b401b12d254c2a8f70bfdfd55c | 0a4d1957e5446d4e36f9659c6903dd0523fe8e0d | refs/heads/master | 2022-12-19T18:42:53.244648 | 2020-10-09T14:02:18 | 2020-10-09T14:02:18 | 291,486,932 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,738 | py | map.py | import requests
import json
import folium
from folium.plugins import HeatMap
import pandas as pd
import datetime
from typing import Tuple, List
import numpy as np
class GeoDataHandler:
def __init__(self):
with open("./etc/tmap_key.txt") as lf:
self.__TMAP_KEY = lf.read()
self.__GEOCODI... |
e772236c9adc34d56d990c98d0ab55364cd8c9b3 | 59d3ac9c6681dc1ab59e4b0b2757b2c9c458d70a | /hdp.py | f91c9e918ece42d59be5bbc085c9e4de120f7fdc | [] | no_license | ai-se/HDP_pyjnius | a9d7180e17b8c691393c2e415c60e4dcaa805f6c | cf7b8620da5d25ad14cf20fcecbcfb371e163bbd | refs/heads/master | 2020-05-29T11:01:03.307856 | 2015-07-01T18:32:34 | 2015-07-01T18:32:34 | 38,166,853 | 1 | 2 | null | null | null | null | UTF-8 | Python | false | false | 7,606 | py | hdp.py | # __author__ = 'WeiFu'
from __future__ import print_function, division
import random, math
from utility import *
# import org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest as KS
# from bipartite import maxWeightMatching
# from scipy import stats
import numpy as np
import networkx as nx
def transform(d, sel... |
2ad9a3c1d2cdef8e3fb23d0d0659c85783055dea | 9d2d1285a9467248a5bda2190ad1fec0762cad99 | /RPI/cupoy_rpi/cupoy_rpi/tmp.py | 1d4259dcf698a8c39bb031a2c47ef3bde31f6074 | [] | no_license | June103310110/MachineLearning | b05f39c215ffcdf1df35578ec34ec557fd261aac | 200f3d97202c1cc4b6db021d063ca2ad20d66c2e | refs/heads/master | 2021-07-05T17:27:39.353084 | 2020-12-30T08:01:46 | 2020-12-30T08:01:46 | 216,804,364 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 342 | py | tmp.py | import time
a = [('Tug', 0.8104438781738281, (57.11275863647461, 68.79114532470703, 105.61766815185547, 105.97710418701172))]
text0 = 'detect: '+a[0][0]+'\t-confidence: '+str(a[0][1])
text1 = '\ntime is: '+time.asctime(time.localtime(time.time()))
text2 = '\ntime is: '+time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(... |
0424938f7723024bb7ff460e69c257d0203fd2bd | a60a261ebd53a7da0d319a098068f6fc35b5f2a1 | /src/OnlineLibraryApp/models.py | 920385ab794511665646d284b320331d498599e4 | [] | no_license | ShipuW/OnlineLibrary-by-Django | 3ee5441f6e23005b368e2bc69e971444b7ea7330 | f0159f71f5e91fa8f282eaba5126ffe5e01d1ff1 | refs/heads/master | 2016-09-12T12:15:22.373162 | 2016-05-21T16:05:50 | 2016-05-21T16:05:50 | 58,534,684 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,281 | py | models.py | from django.db import models
from django.contrib.auth.models import AbstractUser
# Create your models here.
'''
class Student(models.Model):
# id = models.IntegerField(primary_key=True)
name = models.CharField(max_length = 50)
age = models.IntegerField()
class Meta:
db_table = 'student'
def ... |
6cc8ddc6999d9aae94db9881682aeace32b602c7 | 3777658387aa9e78d7c04202d7fd47d59b9e1271 | /MachineLearning/DeepLearning/basicDL.py | 724ad941d804070dd04e40cc354e23465916ebf0 | [] | no_license | jocoder22/PythonDataScience | 709363ada65b6db61ee73c27d8be60587a74f072 | c5a9af42e41a52a7484db0732ac93b5945ade8bb | refs/heads/master | 2022-11-08T17:21:08.548942 | 2022-10-27T03:21:53 | 2022-10-27T03:21:53 | 148,178,242 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,352 | py | basicDL.py | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn import datasets
plt.style.use('ggplot')
def print2(*args):
for arg in args:
print(arg, end='\n\n')
sp = {"sep":"\n\n", "end":"\n\n"}
input_data = np.array([1, 2, 3])
weights = np.array([0, 2, 1])
target = 0
def relu(... |
440fde328481bef4b49752ec0343942fd2b2f1c7 | 50c04396f81f7ebf3c6382a735e26b8ba7f92df1 | /Menu.py | 963dfa5e24f9f267b0858346501ae4ab9a34296d | [] | no_license | Alexander2111/Proyecto-Final-TS1 | 61b8823b71864aa9846a70b7b5d9d0abe4b261ef | 816f7ebc2c8f649083c2549aef65639345803585 | refs/heads/master | 2020-08-16T21:25:46.668298 | 2019-11-13T13:34:38 | 2019-11-13T13:34:38 | 215,555,480 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,119 | py | Menu.py | import os,sys
import random
os.system("cls")
def pedirNumeroEntero():
correcto=False
num=0
while(not correcto):
try:
num = int(input("Introduce un numero entero: "))
correcto=True
except ValueError:
print('Error, introduce un numero entero')
re... |
f3caf1058494ee7e334d41c4869d045db27a79b4 | 535c10506dd774b388ec7b9702b8545e58a869ce | /train.py | 3ef425be1cba5698ee906e99f65662b0eaced04f | [
"MIT"
] | permissive | chae9214/pytorch-sgns | aef95e770ad885bfaab0f2fdbfab2e27b919bc08 | 321cf762c353d038362803d22a86e61c48a61e95 | refs/heads/master | 2021-07-14T20:14:03.874900 | 2017-10-19T14:52:29 | 2017-10-19T14:52:29 | 107,073,504 | 0 | 0 | null | 2017-10-16T03:24:19 | 2017-10-16T03:24:18 | null | UTF-8 | Python | false | false | 3,557 | py | train.py | # -*- coding: utf-8 -*-
import time
import pickle
import numpy as np
import matplotlib.pyplot as plt
from torch.optim import SGD
from torch.utils.data import Dataset, DataLoader
from model import Word2Vec, SGNS
from sklearn.decomposition import PCA
class PermutedCorpus(Dataset):
def __init__(self, dataset):
... |
362413893aa90d29fc8f35dd318fa47bffa59aaf | 94e3a9d1cd6fd556557ecaa4209f8aed82ade943 | /Hackathon 10/prueba.py | 339c097884e13ba15283761e4d4e43e8fa3a478e | [] | no_license | ecustodio123/Hackathon-10 | ccc119162ca1bd6cbad09ff0bc1a15d8671fea63 | 59c54340d317fe32d5f5cc0453d178979ff2bb44 | refs/heads/master | 2022-12-28T02:58:59.305618 | 2020-10-11T11:33:45 | 2020-10-11T11:33:45 | 303,106,019 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 61 | py | prueba.py |
fecha = '2020/2/20'
fecha = fecha.split('/')
print(fecha[1]) |
8aadcd783c4908774c4aaf1f50e3b08f540dd306 | 2845fd85b8903ac7a37f86b87d1c0f62cf94730b | /service/mediaTool_content.py | f0e36ddf0aaec71d4299f606718f188e16613e24 | [] | no_license | cash2one/remark | ec886f6495b217a5a76ae1bc392a1c37dc420979 | c7b48fd8f9bcd42e01162329e42bac0d67996c8f | refs/heads/master | 2021-01-12T06:09:39.926380 | 2016-11-13T01:43:10 | 2016-11-13T01:43:10 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,095 | py | mediaTool_content.py | # -*- coding:utf-8 -*-
import base
class service(base.baseService):
def __init__(self, _model, param):
base.baseService.__init__(self, _model, param)
self.mediaContentModel = self.importModel('mediaTool_content')
self.mediaCommentModel = self.importModel('mediaTool_comment')
def cre... |
517ad6f1bef3eb32cb0f2f72a5f7c4e5a1446523 | 64f5daa345d6f57ab51d7c8731f29f62c6753e50 | /registrations/migrations/0012_registration_external_id.py | 0bbdab488d361c51c92454fbe847d139f3702af8 | [
"BSD-3-Clause"
] | permissive | praekeltfoundation/ndoh-hub | 8201e97326aaa39a4624841287e83b08a53204a8 | e1ea0beaf079f4f4d5f9562fb9d9a4f0670f459f | refs/heads/develop | 2023-08-31T04:36:58.516334 | 2023-08-29T10:35:29 | 2023-08-29T10:35:29 | 61,732,760 | 0 | 3 | BSD-3-Clause | 2023-09-05T08:01:06 | 2016-06-22T16:04:09 | Python | UTF-8 | Python | false | false | 737 | py | 0012_registration_external_id.py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.10 on 2018-03-08 13:41
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [("registrations", "0011_auto_20180227_1517")]
operations = [
migrations.AddField(
... |
a77bdbe3f97d747a93399b0358fe63efe278636f | 2e66cfa233451659a0405cb30e301dcfd1df69d5 | /maze_generators.py | 535bc63fee726c77a10717f0a0f5a90f83a66bea | [] | no_license | dominika-perz/maze_world | 844f06bebb7ddaa81303a05bed4998805300f551 | 19a05a048b5111a51fbce60963a53cc41b8bda93 | refs/heads/master | 2022-11-11T23:17:21.139849 | 2020-07-01T13:33:20 | 2020-07-01T13:33:20 | 273,057,657 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,300 | py | maze_generators.py | from helper import *
def simple_generator_5x5():
maze = [[Legend.START, Legend.WALL, Legend.WALL, Legend.CORRIDOR, Legend.CORRIDOR],
[Legend.CORRIDOR, Legend.CORRIDOR, Legend.WALL, Legend.CORRIDOR, Legend.WALL],
[Legend.CORRIDOR, Legend.WALL, Legend.WALL, Legend.CORRIDOR, Legend.WALL],
... |
5d9f39b450f8cea1738af262ffe517a79ef794d2 | 33a7105b6bec3f08ad6f047e5de54ba2bb0cde33 | /blog/models.py | eb9c7351f6c55db4046fedb2822116fe630a2feb | [] | no_license | Raftor74/ejudge-web-app | 66a8d5d23445df15fd385c86ac4a7e880c5419d2 | 773fdc02439c2b43443ad58693356228eb696c70 | refs/heads/master | 2020-12-30T13:20:00.487033 | 2019-02-24T17:44:19 | 2019-02-24T17:44:19 | 91,329,762 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,705 | py | models.py | from __future__ import unicode_literals
from django.db import models
from ckeditor_uploader.fields import RichTextUploadingField
"""Модели для работы с курсами, темами, уроками"""
# Класс новостей
class News(models.Model):
title = models.CharField(max_length=200)
text = RichTextUploadingField(blank=True, def... |
05071124956868dda066f6221f826a7f6a5eaa7b | 747fbd1d62514fa5879ccb65ab9e0d505bc9a57d | /TweeColi/Output/TweeColi_Output.py | 02efe8f5067c2c9dcf92897d11bf1ed853ea9720 | [] | no_license | CIDARLAB/Bioelectronics | d9f4c894e09e7c580bd259a9c1bce2c17e11726a | 671eef3d42ec76888ba8288f37f8caeb1cd5341b | refs/heads/master | 2021-06-24T07:22:04.965029 | 2016-05-09T00:41:54 | 2016-05-09T00:41:54 | 24,390,823 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,270 | py | TweeColi_Output.py | import ast
import Parse_Tweet
from pump_control import Pump
from time import sleep
import RPi.GPIO as gpio
from twython import TwythonStreamer
# Keys for @BUBacteria
apiKey = 'hbkblS9wvLUroL7tRI6MIO3Hj'
apiSecret = 'EwVdnrn1DJzuxuyRDbzgoy1eh6it7x3PMesUoqIaDGstob3FPI'
accessToken = '2860939569-oVLMyzz7TeQ3A5ji5WNPROIYQ... |
d299d6931e4348c2c66d49a975a812d4de0ea4b8 | 8218d0e793178acb18edc0d8154b127e8b10b727 | /RSCdump.py | d706986e9ee6832dd94341dc298cd3197ad345ff | [
"MIT"
] | permissive | RenolY2/warioRSC | 42cb16f24d13631fb2603aa892a470ad17b239de | 7881ede713a30fd52b4c717e28e930194ba9d0f8 | refs/heads/master | 2021-05-09T02:11:03.936894 | 2018-01-27T21:38:20 | 2018-01-27T21:38:20 | 119,199,903 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,947 | py | RSCdump.py | import struct
import os
import json
import argparse
def read_uint32(f):
return struct.unpack(">I", f.read(4))[0]
def read_entry(f):
unknown, size, offset_nextentry = struct.unpack(">III", f.read(4*3))
padding = f.read(0x20-4*3)
return unknown, size, offset_nextentry
def make_entry_filename(inde... |
03ba1d1c2fabfaaca260b169bc0afe967290d562 | 4a3f2ffe3baa9ffd9618fa346733ea592989768b | /conanfile.py | b85b9fd7b7d39e238dd78ca9606ef259b457c1bf | [
"MIT"
] | permissive | lucienboillod/conan-llvmcore | f36fc3c76ce24c972f8248d6bf4feac7e56fffae | 805db4c11fe877d5312bcce936068699637c2526 | refs/heads/master | 2020-03-18T14:29:44.116531 | 2018-05-27T17:08:22 | 2018-05-27T17:08:22 | 134,851,336 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,645 | py | conanfile.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from conans import ConanFile, CMake, tools
import os, platform
class llvmConan(ConanFile):
name = "llvm"
version = "5.0.1"
description = "Conan.io package for LLVM Core library."
url = "https://github.com/lucienboillod/conan-llvmcore"
license = "http:/... |
c147ec43b7fb5dbbc64086ae8a3d0251c1cf7ad1 | 2a981c9596f7bdbf4abc438c41023092ec4cf14f | /plots.py | 842bfe874959668669c42540e5f97f1b0a4b4a64 | [] | no_license | selBaez/nlp-multimodal-language-models | 2d348e272b2d9ca63dc82e4b85c6d78afea10593 | 11b25850915237ada15822b9546206d267786a7f | refs/heads/master | 2021-05-01T04:25:02.381706 | 2017-05-15T06:09:00 | 2017-05-15T06:09:00 | 74,066,210 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 4,957 | py | plots.py | import argparse
import numpy as np
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
SETTING_DEFAULT = 'ff'
PLOT_TYPE_DEFAULT = 'all'
def plot_loss():
# Read data from CSV
train_data = np.genfromtxt('./'+FLAGS.setting+'/results.csv', delimiter=',', usecols=(0,1), names=True)
test_dat... |
3685306c25ea78934c44c68fccdac4334eb08bc2 | a3e86193eb50d90b01135a8a1f51330e10624d7d | /chainMetric/6p03292106/plotconfig.py | d85022a4ff31c277b299648daab94812da172940 | [] | no_license | yangyutu/Diffusion-mapping | b1f461b5c3d37e4b07a733eb28674b7dde140fa4 | 2e6b151dc7ced1c66589b4e56383a08764e52319 | refs/heads/master | 2021-01-11T03:05:47.610753 | 2019-08-23T12:23:13 | 2019-08-23T12:23:13 | 71,095,710 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 941 | py | plotconfig.py | # -*- coding: utf-8 -*-
"""
Created on Mon Oct 26 11:01:08 2015
@author: yuugangyang
"""
import pylab
import matplotlib
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
for i in range(5,9):
folder = str(i)+'b/'
filename = '03_29_2016-6p-2Hzb' + str(i) +'.txt'
da... |
4f7d9233c290a0d098652ce1d16f37eabc5a378b | e4f62cbfcd9a88f08e5b3c9aa8810a42cb6d28ac | /main_cifar.py | 12ac858acfa4bc13f6827d93f0afc9f739bb0d39 | [
"BSD-3-Clause"
] | permissive | IP-Augmentation/ME-ADA | 0fad74eeccbaa51ccc075414c624f1cd07c13443 | b02ccb6dde9108e2e6ff3a7dabbc8c64530ecf6e | refs/heads/main | 2023-03-17T04:54:22.178601 | 2020-11-27T04:37:28 | 2020-11-27T04:37:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,458 | py | main_cifar.py | from __future__ import print_function, absolute_import
import argparse
from model_cifar import ModelBaseline, ModelADA, ModelMEADA
def main():
train_arg_parser = argparse.ArgumentParser(description="parser")
train_arg_parser.add_argument("--seed", type=int, default=1,
help=... |
84abca587904347af62d44aaba0d1a1901abb355 | 7dd9ca3abb280e05ac77299e35deef5006cc7e80 | /pyomo/dae/initialization.py | c10ccb023d18d32e46aae3f179ec1e5ec794f3df | [
"BSD-3-Clause"
] | permissive | mrmundt/pyomo | e30acaa17e73abc4c27773fddb2d0327a012351c | 05ed25d76d244d983a3aee3ebc84545b276688a1 | refs/heads/main | 2023-08-17T16:08:35.655163 | 2023-08-11T19:47:47 | 2023-08-11T19:47:47 | 237,232,932 | 2 | 1 | NOASSERTION | 2023-03-02T18:33:21 | 2020-01-30T14:40:21 | Python | UTF-8 | Python | false | false | 6,029 | py | initialization.py | # ___________________________________________________________________________
#
# Pyomo: Python Optimization Modeling Objects
# Copyright (c) 2008-2022
# National Technology and Engineering Solutions of Sandia, LLC
# Under the terms of Contract DE-NA0003525 with National Technology and
# Engineering Solutions of ... |
5c9cd08f13c4b1eb0c3a60e7f704200d61c74a28 | 6dedbcff0af848aa979574426ad9fa3936be5c4a | /cengal/code_flow_control/chained_flow/versions/v_0/smart_chain.py | 6f8f6afb0e4319c0d2983c9c58360825652adbc4 | [
"Apache-2.0"
] | permissive | FI-Mihej/Cengal | 558d13541865e22006431bd1a1410ad57261484a | d36c05f4c90dfdac7296e87cf682df2f4d367e4b | refs/heads/master | 2023-06-08T00:39:39.414352 | 2023-06-05T21:35:50 | 2023-06-05T21:35:50 | 68,829,562 | 10 | 1 | null | null | null | null | UTF-8 | Python | false | false | 36,470 | py | smart_chain.py | #!/usr/bin/env python
# coding=utf-8
# Copyright © 2012-2023 ButenkoMS. All rights reserved. Contacts: <gtalk@butenkoms.space>
#
# 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:... |
6581ecabba7ed36a31e608a11f13240804a81057 | 17f8df5f143456cedfd83101bcc01eb402acf60a | /indexfile/index.py | 0b37ae2b9cd1c0fc5f5d6558280804fc92d3941e | [] | no_license | thasso/indexfile | 7267b550896ea5fbaebbd6b90696e42786a503ad | 04cd3746a0d12edbf3fe9e312be08fed43944d72 | refs/heads/master | 2020-12-25T15:50:51.321553 | 2013-08-19T14:55:09 | 2013-08-19T14:55:09 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 18,951 | py | index.py | """Index module.
The module provide classes to perform operations on index files.
"""
import re
import os
import json
import sys
import warnings
# utils methods
def warning_on_one_line(message, category, filename, lineno, file=None, line=None):
return ' %s:%s: %s: %s\n' % (filename, lineno, category.__name__, m... |
4a45356d570806b0148d484dd8df4e9ca47a11d8 | c09632bfc2fca609782074177767e78f2ae8858f | /tests/test_etl.py | 5b8dec9c53498ea578c487e95801951f65e81f1e | [] | no_license | mirrys/ImageMatching | cffe33993eb9bca0b79f1b6f0dc1ff602496c240 | 6149d86e9d6f45cf035d89e6874b5ad7d1fdb5a7 | refs/heads/main | 2023-08-26T05:55:21.108813 | 2021-11-15T21:00:10 | 2021-11-15T21:00:10 | 333,780,395 | 2 | 4 | null | 2021-11-15T21:00:11 | 2021-01-28T14:17:54 | Jupyter Notebook | UTF-8 | Python | false | false | 2,561 | py | test_etl.py | from etl.transform import ImageRecommendation
from pyspark.sql import functions as F
from pyspark import Row
from conftest import assert_shallow_equals
def test_etl(raw_data):
assert raw_data.count() == 3
ddf = ImageRecommendation(raw_data).transform()
assert (
len(
set(ddf.columns).d... |
3b371f2285405eb6c245dc5d1ec3b750d20546e7 | 8f1dd0175ac788fe723a7d6482e508733dd55023 | /pref/loss.py | 006032c5513807bb93a685dbad5ac28f78c8aad4 | [] | no_license | tjacek/ml_utils | dbce24a186e89f72026d5d94e9315597fc3899de | 9c20d523221c5ffdd9c69adcbd2e0f76ac729e68 | refs/heads/master | 2022-09-16T11:29:52.550995 | 2022-08-24T00:27:05 | 2022-08-24T00:27:05 | 43,132,794 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 927 | py | loss.py | import sys
sys.path.append("..")
sys.path.append("../optim")
from sklearn.metrics import roc_auc_score
import pref
class AcuracyLoss(object):
def __init__(self,train_dict):
self.train_dict=train_dict
self.n_calls=0
def __call__(self,score):
result=pref.eval_score(score,self.train_dict)... |
48bc031e87bab0ed0a600f6e30732681edd4ad41 | 659c313c915c405627fb4d69550f1fcbd09dd8c1 | /code/test.py | b2d620c5c41ec21374c3ba4cf2e7cc3e34e773d6 | [] | no_license | IE-group/study_record_xsq | c4bcb2599e2e06ef80cbec667935764e2f04821e | ac7451892b4b3efd3b18b233f347bef637208462 | refs/heads/master | 2021-02-06T23:07:37.265253 | 2020-10-27T07:55:07 | 2020-10-27T07:55:07 | 243,950,774 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 930 | py | test.py | from keras.models import load_model
import numpy as np
import matplotlib.pyplot as plt
import os
import cv2
model = load_model('V1_828.h5')
X = []
for info in os.listdir(r'G:\\haihan\\Segmentation\\data\\test'):
A = cv2.imread("data\\test\\" + info)
X.append(A)
# i += 1
X = np.array(X)
print(X.shape)
Y = ... |