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1dd32124ed13a986d5be8761ef662755180db306 | 5ca24fb9c9d2247ad957b021d752e72e1d83fe45 | /msinvar/brane_tilings.py | ff7c361078c480f0e401e18f7e8b57f01485c74d | [] | no_license | DZaiger/msinvar | 988cffcd9abf68cfdd0007ab0458a2d2170c3bae | 2ec0843ba95abcfcb3f0e1a187c78e1d7935af2b | refs/heads/main | 2023-06-01T01:15:52.306773 | 2021-06-04T11:21:20 | 2021-06-04T11:21:20 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 18,161 | py | brane_tilings.py | r"""
Brane tilings and molten crystal counting
This code is based on :arxiv:`0809.0117`.
See also :arXiv:`2012.14358`
Given a brane tiling (a bipartite graph embedded in a torus) we associate with
it a quiver with potential (Q,W).
For any vertex `i\in Q_0`, we consider the set `\Delta_i` of paths starting
at i up to ... |
c2a013014f7b638c3263332eba89e2551124d245 | 6041ef0a6bbfda702eae5eb107e27ef4ce6f2e10 | /scripts_python/plot_map.py | c1fb0bb1bb54cfab5141998b0d10b488f833030a | [] | no_license | AlexLuka/StreamingTweets | 0641a6464522d8435ab4dfb7320cc49c398afe7c | 01d9f9c931b74579c63a447ae3e21e30869518b7 | refs/heads/master | 2020-05-22T09:57:28.120643 | 2019-07-21T16:23:52 | 2019-07-21T16:23:52 | 186,300,592 | 0 | 0 | null | 2019-07-21T16:23:53 | 2019-05-12T20:25:52 | Python | UTF-8 | Python | false | false | 3,550 | py | plot_map.py | import fiona
import matplotlib
import matplotlib.pyplot as plt
from shapely.geometry import shape, Polygon, MultiPolygon
from time import time, sleep
import redis
from tw_streamer.engine.enum_vals import Constants
from matplotlib import cm
print(f"Matplotlib version: {matplotlib.__version__}")
# plt.switch_backend('a... |
d8a32969fcdb8bbdbb32a1dd47b4cfcdf29af47e | 99470a37c7c6713aea160da181fea22429479630 | /pyturtle | 30108b3abd45507d22bf9cb29f0a31ab2e30c904 | [] | no_license | maksbotan/pyturtle | 82376863a7ed3338183f6f55478ee6190d8baa3c | 2064845d99f7b514687a471c66ed377a395d6514 | refs/heads/master | 2016-09-10T18:46:50.768175 | 2010-11-05T13:07:15 | 2010-11-05T13:07:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 119 | pyturtle | #!/usr/bin/env python
import sys
sys.path.insert(1, 'src')
from pyturtle.main import Main
interpreter = Main('GTK')
| |
f8047d3050de9f472d1c9709cfe09bbab98e26c0 | 1432c029c47e9a6a68b937bcc44dfb735387102e | /scripts/spacetime_eda.py | 4f4426a87ab8339458661ff719aaefb2989041b7 | [
"MIT"
] | permissive | perovai/deepkoopman | 764ab63e1d2ea8d0f59289d91b2d3b84ed12da34 | eb6de915f5ea1f20b47cb3a22a384f55c30f0558 | refs/heads/main | 2023-08-07T22:05:16.261422 | 2021-07-30T13:10:53 | 2021-07-30T13:10:53 | 357,617,331 | 2 | 0 | MIT | 2021-07-29T18:44:25 | 2021-04-13T16:19:47 | Jupyter Notebook | UTF-8 | Python | false | false | 1,040 | py | spacetime_eda.py | import sys
from pathlib import Path
from torch.utils.data import DataLoader
sys.path.append(str(Path(__file__).resolve().parent.parent))
from aiphysim.dataloading.dataloader_spacetime import RB2DataLoader # noqa: E402
if __name__ == "__main__":
folder = str(Path("~/Downloads").expanduser())
file = "rb2d_r... |
ad0e24252ec00fd13d75fd049b1f09f21d02c03d | 37e64ef2aabe2b4f7d609d84114b33d789c0baee | /hand_gray_train_data_prepare.py | 2001cdcce1ec28ecd1784157537d310a28c18268 | [] | no_license | henrylovedesign/handrecoganize | 6d7421640b62cd755cc3596621bffb38660a9980 | 317bd5cd6ce5631ab3bfa5cd4d23e60704358953 | refs/heads/master | 2021-04-28T22:33:38.170388 | 2016-12-31T03:31:22 | 2016-12-31T03:31:22 | 77,722,049 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,565 | py | hand_gray_train_data_prepare.py | import os
import sys
sys.path.append('../')
import cv2
import handclstor_data_prepare as dt
import randomcrop
import random
import model_generator.projectroot as prt
import transformation as tf
proot = prt.project_dir
cls_data_root = os.path.join(proot,"MorpxData","classification")
targetname="hands"
target_cls_da... |
3eee2b4d9015986bdce3ca931b7dbafc5a9533ff | 36213cbc5f0ab696fe93373f0b21256594c8bf57 | /shoppingbag/urls.py | 2914a74117d918118e793a17368f23e1261947c5 | [] | no_license | Code-Institute-Submissions/project4-6 | 986f38382893334ef7d17c0d1686085ea15a2f43 | 07a90f78035d10202b5e0c4ee53cdb508d9ec1c2 | refs/heads/master | 2022-12-07T08:56:06.106855 | 2020-08-31T18:55:21 | 2020-08-31T18:55:21 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 407 | py | urls.py | from django.urls import path
from . import views
urlpatterns = [
path('', views.shoppingbag, name='shoppingbag'),
path('add/<item_id>/',
views.add_to_shoppingbag, name='add_to_shoppingbag'),
path('update/<item_id>/',
views.update_shoppingbag, name='update_shoppingbag'),
path('remove/<... |
0672b5aa38232310c2f417ed9305e2bee09866d9 | f22aa5aea83d4247b5918faf0075896ae644ecb1 | /flask_app.py | 44e4040d06d5c5e7da31e584b5dc285b66cb46d0 | [] | no_license | deepakr1618/sis_scraper | dc10255e74482114389ba656ba823673f9fe30de | cd6ef143ae9171d0e47fb47fcec8382d6afa11a7 | refs/heads/master | 2020-12-27T01:12:54.608719 | 2020-04-15T05:30:41 | 2020-04-15T05:30:41 | 237,714,767 | 0 | 0 | null | 2020-02-02T04:21:14 | 2020-02-02T03:51:14 | Python | UTF-8 | Python | false | false | 2,098 | py | flask_app.py | from manager.createChart import lightTheme , darkTheme
from manager.scraper import Parser , Scraper
from manager.firestore import Storage
from io import BytesIO
from flask import Flask , request
from PIL import Image
import base64
import json
import sys
import os
app = Flask(__name__)
storage = Storage()
... |
5e8fb9cd6b31f736864048de89eff434b2297cda | c5945e81fba1bb481687a4f8c687c48dc114869f | /pyScripts/piePngChart2.py | 4ce2ccda360467416b3384e4123e826820281db9 | [] | no_license | yz8169/live_forest | 94e17152e54342c56328d4845a53cc31956cc5db | edcae396f98a5b893700e42cb9d8fe1ab8a3bacc | refs/heads/master | 2021-01-06T19:20:50.830064 | 2020-02-18T20:31:32 | 2020-02-18T20:31:32 | 241,457,433 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 720 | py | piePngChart2.py | # -- coding: UTF-8 --
import pandas as pd
import matplotlib.pyplot as plt
def str2file(file, str):
f = open(file, 'w')
f.write(str)
f.close()
plt.switch_backend('agg')
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False
df = pd.read_csv("out.txt", sep='\t')
values = [... |
6a06a4d99eaad00df37a4e17a3e7c11ee4505bd5 | 8c917dc4810e2dddf7d3902146280a67412c65ea | /v_7/NISS/shamil_v3/cooperative_purchase/co_operatine_contract.py | e3143fdcfef9c3b6d20184bdb49ba2e6f28b0ee8 | [] | no_license | musabahmed/baba | d0906e03c1bbd222d3950f521533f3874434b993 | 0b997095c260d58b026440967fea3a202bef7efb | refs/heads/master | 2021-10-09T02:37:32.458269 | 2018-12-20T06:00:00 | 2018-12-20T06:00:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 16,530 | py | co_operatine_contract.py | # -*- coding: utf-8 -*-
##############################################################################
#
# NCTR, Nile Center for Technology Research
# Copyright (C) 2011-2012 NCTR (<http://www.nctr.sd>).
#
##############################################################################
from osv import fields,osv
i... |
ed142b7177fc77699b796c06c0ac0e5216581de3 | 43c436a8828ea2939e81b9aad082d01d1311a022 | /MLP1L200N.py | 744619a01c843bb38de70cf49a8958659098380d | [] | no_license | amir7596/Digits-Recognition-with-MLP | 9694786d0e5c7127bd61b174a5162ca4207fc155 | 51073deac9a0d11ee7f1e9ce2c1ff5ec31af4f84 | refs/heads/master | 2020-05-25T07:10:58.551180 | 2019-05-20T17:21:18 | 2019-05-20T17:21:18 | 187,679,828 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 675 | py | MLP1L200N.py | import numpy as np
import pandas as pd
import matplotlib.pyplot as pt
from sklearn.neural_network import MLPClassifier
import os
from PIL import Image
import csv
Train=pd.read_csv("F:\programming\python\ML\\numbers_rec\Train.csv").as_matrix()
Test=pd.read_csv("F:\programming\python\ML\\numbers_rec\Test.csv").as_ma... |
971e919cdde790112199d9298683a5f34f2efa09 | 13609bea69a8a4e8678ea49aecd4e530b414eaeb | /task2(22.02).py | 4be6abdb4b0f8db60f94bc3f81e6d78b64b60977 | [] | no_license | alexandrash/git-lesson | fe29224835b04ec2bc7435a6484950b27a8d82f4 | 96652e0b18af21a2c78b8a7c44764ef0d6deca98 | refs/heads/master | 2021-01-19T09:18:08.651257 | 2017-03-16T18:47:08 | 2017-03-16T18:47:08 | 82,093,870 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 317 | py | task2(22.02).py | s = str(input('Введите выражение:'))
def check_palindrome(s):
s = s.split()
s = ''.join(s)
i = 0
l = len(s)
while i <= l // 2:
if s[i] != s[l- 1- i]:
return False
i += 1
else:
return True
print (check_palindrome(s))
|
511cf6c424109d3badd6768b04bc31e8fb3cf2b2 | 77ed9133c4c184a93539d0eea303f2da9e4448cf | /mxnet_demo.py | 63641080654968dba66655c6a355a49454b7139e | [] | no_license | AgFeather/StudyNote | 16e1bc34196cd2bce2ef26aed7eb3010e6adba5e | 4c258e73153cf38a6392937a75fa560b2a6bcc97 | refs/heads/master | 2020-06-22T11:31:10.176663 | 2019-10-10T13:08:49 | 2019-10-10T13:08:49 | 197,707,284 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,614 | py | mxnet_demo.py | import mxnet as mx
from mxnet import gluon, autograd, ndarray
import numpy as np
from mxnet.gluon.data.vision import transforms
def load_data():
def data_xform(data):
"""Move channel axis to the beginning, cast to float32, and normalize to [0, 1]."""
return ndarray.moveaxis(data, 2, 0).astype('floa... |
dad4994c5d194b15d54bcda807a2babc580a54de | 94c46e27154ac8492c260e54ef7f53c674274d96 | /tests/test_tag_activity.py | ae55e59628fee722c069e228acbdc1d836782dfd | [
"BSD-3-Clause"
] | permissive | regro/rever | dd291a693122b08623e6b743b7a22c23336b754f | 46dbba96abe1b0c71ee52537f33d25f9207688d8 | refs/heads/master | 2023-01-23T04:53:07.655003 | 2023-01-16T10:06:44 | 2023-01-16T10:06:44 | 91,493,375 | 78 | 31 | BSD-3-Clause | 2023-01-16T10:06:45 | 2017-05-16T18:52:07 | Python | UTF-8 | Python | false | false | 845 | py | test_tag_activity.py | """Tests the tag activity activity."""
from rever import vcsutils
from rever.logger import current_logger
from rever.main import env_main
REVER_XSH = """
$ACTIVITIES = ['tag']
"""
def test_tag_activity(gitrepo):
vcsutils.tag('42.1.0')
files = [('rever.xsh', REVER_XSH),]
for filename, body in files:
... |
0b2ebafdc9845019f9b0f4d8b265ea0f7dbcd090 | 5c944a7b3b359e13166b6ac84f7c9cdb101efc32 | /web_scraping.py | 8c007075f787112a7d91aac14bdf4e8f4801bfa3 | [] | no_license | LandonBeach/securityScripting | 6d9c14b7be0d7144a22d4f2f51b392d0ef057f37 | a5d107543f8db3a1badaab9daba1aca190a429c6 | refs/heads/master | 2021-03-27T12:01:29.862918 | 2019-07-08T01:23:22 | 2019-07-08T01:23:22 | 79,587,763 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,098 | py | web_scraping.py | # This is an Anonymous Browser taken out of the Violent Python Book
# Book written by: T.J. O'Conner
# Author: Landon Beach
# Date: 4/20/17
from anonBrowser import *
from BeautifulSoup import BeautifulSoup
import os
import optparse
import re
def printLinks(url):
''' This function will find and print all of the links ... |
6e2d221ee3624bb3d9083d9bac2a3e79cbcef929 | 249b01ffd6e8de503ec1f22e2c2088c03115a7cb | /board.py | 3a46c19e792bc821a160bbcb2cdf3caf31117155 | [] | no_license | kevinelong/adventure | f9cf26e1cb3e4cc2ac0d68387e8a5985c0ec3e64 | 2abb93a1211513404cee4e71cc36ae775e76c753 | refs/heads/master | 2022-12-26T07:54:56.773607 | 2020-10-12T17:37:45 | 2020-10-12T17:37:45 | 302,924,410 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,026 | py | board.py | from characters import *
class Board:
def __init__(self, size=9):
self.size = size
self.rows = []
self.symbols = {
"<class \'characters.Player\'>": "^",
"<class \'characters.Ogre\'>": "O",
"<class \'characters.Character\'>": "C",
}
... |
f3b4c6cdcfe100a0a371203d51d956b2d1004a81 | 894d6ce449cfdb2810d498035edd061ddbe10585 | /thumbulator/bareBench/regression.py | f6af78dd53daea1c3f27cd9d9571c2778e76cecf | [
"MIT"
] | permissive | afchung/Ratchet | db474ba723a52e40d30cc9a60a43082130a9f2d9 | 287af004477992394f10149b30695acd47efc05d | refs/heads/master | 2020-05-01T19:42:12.427129 | 2019-03-29T16:57:04 | 2019-03-29T16:57:04 | 177,655,403 | 0 | 0 | null | 2019-03-25T19:59:23 | 2019-03-25T19:59:23 | null | UTF-8 | Python | false | false | 2,657 | py | regression.py | import subprocess
import re
import sys
import os
def get_config(item, config):
m = re.search('(?<={}=).*'.format(item), config)
return m.group(0)
def generate_config(name, root, mean, std, debug, logging):
f = open(name, 'w')
f.write('ROOT={}\n'.format(root))
f.write('ELF={}\n'.format(root + "main.elf"))
... |
21dca0258a1131507173cae46e2fc5df698469ef | 78b280ba8d3ba6e53a7e16b283aea90fc30c5d7a | /interpretability/interpreter.py | 602020ed29887fdda2a9dfb4c8424b5a28bcdb69 | [
"Apache-2.0"
] | permissive | ziritrion/aidl-2021-wo-rl | c600369d8ec59dcef0f006922e3f3789c1398b1e | f10da1c454c17742b592cdbfa8f648c04ee849ca | refs/heads/main | 2023-04-08T08:31:15.259790 | 2021-04-20T07:33:05 | 2021-04-20T07:33:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,599 | py | interpreter.py | import torch.nn as nn
from time import time
class Interpreter(nn.Module):
"""
Include this module into your network to inspect the convolutional layer.
It sends to the writer (only tested with Tensorboard) one image of the self.shape dimension.
To avoid overhead, the images are pushed every 60 seconds... |
4c9ec4a137b646725e00fe1ea788bf9c80f9e5a3 | 2fd33957e358e555bad33f424ecaa546af19f3c2 | /FirstNonrepeatedChar.py | a8a55962da762e87e625550703ce2ec9507e7019 | [] | no_license | Adityaar/Python | 1962df671e350e4a7e27192af2e52df5e627b5dc | a4bd6b8e0622372b1a17fb5b5572109725ba5f2f | refs/heads/master | 2022-12-12T12:39:52.237482 | 2022-11-27T03:14:25 | 2022-11-27T03:14:25 | 33,167,225 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 649 | py | FirstNonrepeatedChar.py | import sys
'''
Write a program which finds the first non-repeated character in a string.
The first argument is a path to a file. The file contains strings.
For example:
Input sample:
------------
yellow
tooth
Output sample:
Print to stdout the first non-repeated character, one per line.
For example:
-----------... |
6dcdb1e2bb21c53285ed146824b0069be47a4676 | 3a57399eb2b261c2e33c4a54498eb7a0dceff1b8 | /UnixFileServer/session.py | 9d72ae3dc0ab489fed3c0dfa2b16e88e725efa9d | [] | no_license | Bcante/UnixFileServer | 8a76c93eff113a4ce823a431032eda26429858f6 | 5db46d3e22f593ed5c7c4f00111a832e3a420782 | refs/heads/master | 2020-07-17T20:14:32.453053 | 2019-09-03T14:00:18 | 2019-09-03T14:00:18 | 206,090,841 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,656 | py | session.py | #!/usr/bin/python
# -*- coding: utf8 -*-
import os
import sys
import posix_ipc as pos #raccourci module
import signal
import readline
monPid = str(os.getpid())
fileVersServeur = 0
fileVersClient = 0
fileConfirmeSup = 0
fileReponseSup = 0
#Classe chargée de gérer les limites de temps
class Alarm(Exception):
pass
... |
a4c6a4ae6a0bfe036d1b574c959b4716faebf17e | 3d35f4a293376a97166dea575fa4a3e05194f6db | /example_settings.py | e68cf901e449717b24b7f228e87616f263d6b74c | [] | no_license | mktakuya/TweetMan | b1c50cd82c425612a6ad78a1b0d8a86ac0e1738a | 021e238ef50673611ad062996f28effbb9e51eb5 | refs/heads/master | 2020-12-24T14:35:59.482963 | 2014-04-07T14:45:13 | 2014-04-07T14:46:16 | 18,491,919 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 172 | py | example_settings.py | # coding:utf-8
# Twitter Keys
CONSUMER_KEY = 'Consumer Key'
CONSUMER_SECRET = 'Consumer Secret'
ACCESS_TOKEN = 'Access Token'
ACCESS_TOKEN_SECRET = 'Access Token Secret'
|
e2fb794b08d6bcc211e2c35d00005dfeffbb6bd3 | 85742ee4d50c952c74d7a752ea0184bb0f3abbed | /view/SortingGui.py | d733ee2ac1b5402d005e2340e4d08df68213247d | [] | no_license | NasskalteJuni/sorting | d5fe978d9f4497fd630b035f5321d9e207f21d99 | ee78ff1e5eb04e3899843b26eb49bd55ee3b5410 | refs/heads/master | 2021-01-13T10:29:17.607468 | 2016-10-28T17:03:19 | 2016-10-28T17:03:19 | 72,226,089 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,478 | py | SortingGui.py | from tkinter import Canvas, TclError
from colorsys import hsv_to_rgb
from view.StyleGuide import *
class SortingAnimation:
__window = None
__canvas = None
__canvas_width = 500
__canvas_height = 450
__interpolate = None
__bar_dict = None
__dict = {}
def __init__(self, window):
... |
261f29104c6458cc5a9d1a08c40de630daed01ef | 87827ea908e358d06a8c082321d0211e1abd4119 | /back-end/database/MoveDetails.py | 11c041873af26539903cd485840f92b364d92931 | [] | no_license | aritche/4920Project | 45fba11c188c0f624e34c69b8f75713158343483 | 9e9d5edca9edd83bf63078c490dc28140e506da2 | refs/heads/master | 2020-03-26T06:30:07.489071 | 2018-10-24T03:33:35 | 2018-10-24T03:33:35 | 144,608,352 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,900 | py | MoveDetails.py | from database.model import db
from sqlalchemy import ForeignKey
from sqlalchemy.orm import relationship
class MoveDetails(db.Model):
__tablename__ = 'movedetails'
id = db.Column(db.Integer, primary_key=True)
movee_id = db.Column(db.Integer, ForeignKey('user.id'), nullable=False)
title = db.Column(db.S... |
e303680a51774f5f9bd7a420c61ae5dcbf5a9766 | 912ef514863339b69ff78dd979fcb30401633722 | /sect14-project9-DataVisiualization/main.py | d875e6733ea04efe921af4cc333d89a6bb543436 | [] | no_license | jhonasttan/pythonBegToAdClass | 1255a328b5ea99192d24bb3d5650ee0674ed56e0 | e6ae4822dfb698749fe9c9e83ea842211b80ed2e | refs/heads/master | 2020-03-07T11:42:52.214424 | 2018-05-27T18:17:45 | 2018-05-27T18:17:45 | 127,462,303 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 338 | py | main.py | import matplotlib.pyplot as plt
import numpy as np
years = [1, 1000, 1500, 1600, 1700, 1750, 1800, 1850, 1900]
years = years + list(np.arange(1950, 2020, 5))
pop = [200, 400, 458, 580, 682, 791, 1000, 1261, 1650, 2525, 2758, 3018, 3322, 3682, 4061, 4440, 4853, 5310, 5735,
6127, 6520, 6930, 7349]
plt.plot(year... |
cc9c339d0f55b57c7cd71764a06e11034ebc58b8 | 9666e31ab2308bba6f07472f01111cdd70544802 | /item.py | 542756468d61fe7577aa806ada9cc4f99e8c5ed0 | [] | no_license | MyeongJun88/2019-2-OSSP1-DINO-4 | e271925d5952d86e81f6b62134a3e627a635faa8 | e6eafbcec118efe782988afe25cdae9e6ee005be | refs/heads/master | 2022-03-21T20:55:56.643763 | 2019-12-17T04:05:24 | 2019-12-17T04:05:24 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,742 | py | item.py | import pygame
from game import *
def RelRect(x,y,w,h,camera):
return pygame.Rect(x-camera.rect.x, y-camera.rect.y, w, h)
class item(pygame.sprite.Sprite):
"""Coins found in boxes and bricks"""
def __init__(self,game):
super().__init__()
self.game=game
#load gem image
se... |
738f57bb3f791748331150c21f11703310967def | b4bc008fea7f73ab6564dae28edb9aeb029d25b4 | /maps/migrations/0011_mapobj.py | 2a3d7dc2976380b489656fabd6ed5f7ead505004 | [] | no_license | javierpi/andreas_map | 6b1cca4155f44839ab34715886fbac8e3528e242 | 62b0f283607d35f3a228d43830b12bbba147e041 | refs/heads/master | 2020-04-08T07:44:11.472971 | 2018-11-30T15:46:22 | 2018-11-30T15:46:22 | 159,149,550 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,010 | py | 0011_mapobj.py | # Generated by Django 2.0.9 on 2018-11-26 15:06
import django.core.validators
from django.db import migrations, models
import re
class Migration(migrations.Migration):
dependencies = [
('maps', '0010_mapservercolor'),
]
operations = [
migrations.CreateModel(
name='MapObj',
... |
f3df3dfb949f42c41015d73cfe482c5676b47578 | ad2704933de4502ae9de91e6d915f9dbe010b446 | /yohta/chapter09/knock85.py | 29ca8fd1c70dcd2f9fe1985bb7a9b06cd722fc8a | [] | 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 | 277 | py | knock85.py | import pickle
from sklearn.decomposition import TruncatedSVD
with open('data/answer84','rb') as i_f:
words,vector = pickle.load(i_f)
trunc = TruncatedSVD(n_components = 300)
with open('data/answer85','wb') as o_f:
pickle.dump((words,trunc.fit_transform(vector)),o_f)
|
5af13263277cb9c765bd5bef86d725b6b6972ee9 | a29b5577b07384d682621b5d7c76d0fad529e6b6 | /05-Token Refreshing and Flask-JWT Extended/code/resources/user.py | 41839d0dd9e343666347f92379ed2e0a7dc1988d | [] | no_license | EwertonCSMelo/REST_APIs-With-Flask-and-Python | f2c0f4db82ddaec37be2e9e45f3d2023b9d8c844 | aaba671fa2fd6307372346c3a8847d7ae2f32a4b | refs/heads/main | 2023-07-03T11:40:08.861443 | 2021-08-16T18:00:51 | 2021-08-16T18:00:51 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,442 | py | user.py | from flask_restful import Resource, reqparse
from flask_jwt_extended import (
create_access_token,
create_refresh_token,
jwt_refresh_token_required,
get_jwt_identity,
jwt_required,
get_raw_jwt
)
from werkzeug.security import safe_str_cmp
from models.user import UserModel
from blacklist imp... |
b7edef5a1871ff9ca7f6290355a61e4a56c935ca | a47b6231f7a5916591095a45febfecc6f84edfeb | /utilities/utils.py | 29be043b68e9b14821af31619772ea7a817c2a7b | [
"MIT"
] | permissive | jluech/PGAcloud_Manager | d3ff188bf3b8ca3060654bd6023bb4b72d8a4fd1 | 9008fac26f9d762b2ab527034e46d467b5b0c26f | refs/heads/master | 2022-11-25T19:54:02.083046 | 2020-08-03T11:49:49 | 2020-08-03T12:13:05 | 271,369,265 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,199 | py | utils.py | import logging
import os
import subprocess
import sys
import yaml
files_dir = ""
# --- General util commands ---
def execute_command(
command,
working_directory,
environment_variables,
executor,
logger=logging,
livestream=False
):
logger_prefix = ""
if executo... |
1777142c98b673213c889bde6440c51735d48467 | cebd6fc93db1053427f2577b8aa01916e5e2d0d3 | /setup.py | 7e881ed4f72b0934aa2d05ed8524bbfc3d781d9b | [
"Apache-2.0"
] | permissive | TriggeredMessaging/bronto-python | 7c6419aa868a4f98692dde4bf6ce9dcf649a4650 | 0a82339274326e79a377b9c6a89e03b42e30b8b4 | refs/heads/master | 2023-02-14T20:52:20.102192 | 2020-09-15T10:43:57 | 2020-09-15T10:43:57 | 224,473,755 | 0 | 1 | Apache-2.0 | 2020-09-15T10:43:59 | 2019-11-27T16:34:21 | Python | UTF-8 | Python | false | false | 1,390 | py | setup.py | import os
from setuptools import find_packages, setup
import bronto
os.chdir(os.path.normpath(os.path.join(os.path.abspath(__file__), os.pardir)))
VERSION = bronto.__version__
github_url = 'https://github.com/TriggeredMessaging/bronto-python'
requires = [
'suds-py3==1.3.3.0; python_version>"3.0"',
'suds==0.... |
411fb38ec9c257cfadf9598c92d5f0b336b0a3df | 39b1a6f8944c646383c250c2819b5d956a0a5006 | /08/otazky.py | 3803a4bb4b8487fe89dd57544f649cde2db39359 | [] | no_license | perglervitek/Python-B6B36ZAL | def192ec3d598ee81f08982781307d3d74279185 | 9a1f60659a53b75b6f68f1950fdbea2fc7d54f51 | refs/heads/main | 2023-07-14T13:28:23.226937 | 2021-08-01T20:38:19 | 2021-08-01T20:38:19 | 391,731,463 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 350 | py | otazky.py | # lst = [10,20,30,40,50,60,70]
# for v in lst:
# print(v)
# print("---------------")
# for v in lst:
# print(v, lst.pop(0))
lst1 = [
{'name': 'Josef Novák', 'age': 27},
{'name': 'Jan Srp', 'age': 80}
]
# create a copy of lst1
lst2 = []
for v in lst1:
lst2.append(v)
lst2.pop()
lst2[0]['age'] = 15
print(... |
0cfcc28e9382af77aa584156b100ac0aa5bde7ef | 9099ed0407521ac40b88f3b92872307f66c57bf9 | /codes/contest/leetcode/can-i-win.py | 23bda0e7639d7320c2628c187baadc9f9ab769ba | [] | no_license | jiluhu/dirtysalt.github.io | 0cea3f52d2c4adf2bbf5c23b74f4cb1070025816 | c026f2969c784827fac702b34b07a9268b70b62a | refs/heads/master | 2020-08-31T09:32:05.273168 | 2019-10-29T01:53:45 | 2019-10-29T01:53:45 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,527 | py | can-i-win.py | #!/usr/bin/env python
# coding:utf-8
# Copyright (C) dirlt
class Solution:
def canIWin(self, maxChoosableInteger, desiredTotal):
"""
:type maxChoosableInteger: int
:type desiredTotal: int
:rtype: bool
"""
if (maxChoosableInteger * (maxChoosableInteger + 1)) // 2 < d... |
5f062fd3d6fa72d5cf913ecd1459b9ad93a48f85 | e35549ad53f5f72c8e84ff6cde35594f34f4fb9e | /07_语法进阶/hm_12_listExtend.py | 822d210dea24adb68418505b61dda4339af0b99a | [] | no_license | Waynezhai/03_python_hm | 7887e808cf3f33dccbf2e29cdaf7cf22caf0c8a2 | 590e2d14e7dc0aece5cd5ca54bddcaba00d5b683 | refs/heads/master | 2022-01-17T11:57:02.639092 | 2019-07-31T10:59:06 | 2019-07-31T10:59:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 836 | py | hm_12_listExtend.py | #!/usr/bin/env python
#-*- coding:utf8 -*-
#################################################################
# FileName: hm_12_listExtend.py
# Author: Wayne_zhy
# Mail: zhyzhaihuiyan@163.com
# Created Time: 2018-08-27 11:34:35
# Last Modified: 2018-08-27 11:47:27
#######################################################... |
2dd159c930e668b2c1e86d11e3bbf3d8d6b40e1f | 92d868ca079d5dea9ead86c8278be1628e5e5d1b | /menpofit/lucaskanade/base.py | 918480560259c66d6c5b959400d530bbd8c70a19 | [] | no_license | mrgloom/menpofit | aa32f6af647fbbd240803eb5eb6dcb98dcf07e4d | a4fcc16e8ac12537959b3ddbea103a1da4382f84 | refs/heads/master | 2021-01-17T19:59:20.136453 | 2015-07-16T14:23:49 | 2015-07-16T14:23:49 | 39,327,631 | 1 | 0 | null | 2015-07-19T08:39:53 | 2015-07-19T08:39:53 | null | UTF-8 | Python | false | false | 3,286 | py | base.py | from __future__ import division
import numpy as np
from menpofit.fitter import Fitter
from menpofit.fittingresult import ParametricFittingResult
class LucasKanade(Fitter):
r"""
An abstract base class for implementations of Lucas-Kanade [1]_
type algorithms.
This is to abstract away optimisation spec... |
1f658779643c410df90a150c184a0c0bddc3945a | 8a87d9e575ce882ec27e91a09458935ffbe1257a | /foodpool/v1/authentication/models.py | 3d3659707342847d3ea81e0d23f46f447a3385fc | [] | no_license | kdaang/FoodPool | c103049270f44e3977b37b4cd78ff7f4c2c008da | 15a7f3bd6e6fb66f743128aea96d6a8de8b389af | refs/heads/master | 2022-04-23T13:08:31.411376 | 2020-04-26T03:59:53 | 2020-04-26T03:59:53 | 255,710,062 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,778 | py | models.py | from datetime import datetime, timedelta
from django.contrib.auth.base_user import BaseUserManager
from django.contrib.auth.models import AbstractBaseUser, PermissionsMixin
from django.db import models
import jwt
from django.template.defaultfilters import upper
from phonenumber_field.modelfields import PhoneNumberField... |
d06768ca0749805f44e24ae011919bf60f138760 | 9af4400f09e18f08b60b0392c2d0e328d34da9e9 | /dat2.py | 078413dcf1cadd382d32aee54888b3be20b8850a | [] | no_license | deep0072/automatic-octo-memory | dbec9aeb51de578cbb482be2d7d99e8c55f53e95 | fb57779d468083139d3acc712bd40a0d24f5018e | refs/heads/master | 2021-06-08T20:14:55.709316 | 2019-06-30T07:21:48 | 2019-06-30T07:21:48 | 165,256,990 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,183 | py | dat2.py | #from matplotlib import pyplot as plt
#import numpy as np
#dev_x = [25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35]
#
#x_indexes = np.arange(len(dev_x))
#width = 0.25
#
#dev_y = [38496, 42000, 46752, 49320, 53200,
# 56000, 62316, 64928, 67317, 68748, 73752]
#plt.bar(x_indexes-width, dev_y, width = width ,label = '... |
d976a5c2b2c6f911197358b3a8a89d846217563b | d995b50a87c1c228333e81e4de56645de2f32acd | /setup.py | b49390c81ea2f523588cbb1a44929647450fec1d | [
"MIT"
] | permissive | brianloveswords/python-jws | be650994c5382790904eea845b722ca3aa7df2e4 | 9228dcc83dccfd4dde9df12f491b8d92c95a874a | refs/heads/master | 2023-07-08T05:55:13.919051 | 2017-09-21T21:15:07 | 2017-09-21T21:15:07 | 1,836,660 | 42 | 37 | null | 2023-06-22T10:07:32 | 2011-06-02T10:56:55 | Python | UTF-8 | Python | false | false | 691 | py | setup.py | import os
from setuptools import setup
def read(fname):
return open(os.path.join(os.path.dirname(__file__), fname)).read()
setup(
name = "jws",
version = "0.1.2",
author = "Brian J Brennan",
author_email = "brian@nyhacker.org",
description = ("JSON Web Signatures implementation in Python"),
... |
c2ff27a2ea03895a340974c2a615848437380ba3 | 6078dbb1ce49c45142cd2c21eb3b8f9b62a69ec5 | /mip_gurobi.py | f53679b7f1273b008b6e77d4f80f8eeb15101516 | [] | no_license | chyr98/VRPTW_scheduler | c1d4dda2b34a2f296c212b6aaacca34f92ef65f4 | 730a440d5afea4f3e86bdaa70377c5ecd421dd8f | refs/heads/main | 2023-01-30T22:58:55.898865 | 2020-12-09T16:52:19 | 2020-12-09T16:52:19 | 304,993,154 | 3 | 0 | null | 2020-12-05T18:31:38 | 2020-10-18T00:24:35 | Python | UTF-8 | Python | false | false | 11,084 | py | mip_gurobi.py | from typing import List
import numpy as np
import VRPTW_util
import copy
import time
import sys, getopt
import json
import gurobipy as gp
from gurobipy import GRB
DEPOT_INDEX = 0
LARGE = 1e7
def model_initialization(problem: VRPTW_util.VRPTWInstance, equality=False):
vehicles, nodes = problem.num_vehicles, len(... |
964eb8a0836a233a8f182343e2b719811c85457c | 6456afc266b07bf966a51467c081a70fa7a4cf8e | /Tensorflow NVIDIA GPU Fix.py | 57f3cb9e611da470a5491a2c3f04a388f69b3cdf | [
"MIT"
] | permissive | CallumAltham/Tensorflow-NVIDIA-Fix | 7a757ecd454b3e58775a452a1f7f59a501cde8fb | d7d1428d7308bceac2a63ff84e775117eb75c647 | refs/heads/main | 2023-03-28T13:53:13.335326 | 2021-03-28T01:03:12 | 2021-03-28T01:03:12 | 352,212,542 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 357 | py | Tensorflow NVIDIA GPU Fix.py | import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
import tensorflow as tf
config = tf.compat.v1.ConfigProto(gpu_options =
tf.compat.v1.GPUOptions(per_process_gpu_memory_fraction=0.8)
)
config.gpu_options.allow_growth = True
session = tf.compat.v1.Session(config=config)
tf.compat.v1.k... |
0b7f8e598f4ab41888fb6df5ceca31fbb3b93155 | 8916bcf8b614adc8c1e43025963c9f1099239117 | /source/src/iippy-1/week4.py | fcd9521c6b3b95dfbfe2ddb9ff1dba9d43b02a77 | [] | no_license | zxcbbn/pythoncamp0 | f1684a687af6f1d88c66b9410f2cc4b5da40304c | 60af0920ddd2f7a1546c6ecdfe44d4be36da6990 | refs/heads/master | 2021-01-18T02:31:40.592154 | 2016-05-19T16:21:33 | 2016-05-19T16:21:33 | 32,257,532 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 248 | py | week4.py | import tkinter
import math
import random
#init
record_list = []
botoom
#helper functions
def range_choose:
def number_choose
def guess_AI
def compare_number
def timer
#event handlers
#create frame
#register event handlers
#start game
|
f57d72779044c028e9a5d41aefcbafb85850ce33 | ec7593ef0477c281140dfe89a4c9f0e413588701 | /webproject/load_data.py | 50f958cfc73a7cc24510f91f2309fe1678d0bf7f | [] | no_license | knghyunwoo/elice_library | 8dde9e96c0bd0a5b602ae002fdebda3ca143b188 | 2b228d656afe8285dcfe99c79fda4034c7abde97 | refs/heads/master | 2023-04-20T16:10:52.377964 | 2021-03-09T09:51:02 | 2021-03-09T09:51:02 | 363,538,933 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,022 | py | load_data.py | import csv
from datetime import date, datetime
from models import db, Book
# from app import app; app.app_context().push(); import load_data
session = db.session
with open('library.csv', 'r', encoding="utf-8-sig") as f:
reader = csv.DictReader(f)
for row in reader:
published_at = datetime.strptime(
... |
46900fe787ca48b4f6df3849e246607e00ff3671 | c9ee2e50ebe83d0b1808074f790fd086996f36bb | /Spring/python Teacher Code/python Teacher Code/HELLOPYTHON/day15/mymnist04.py | 69b6b70c1b6060652179892f5e6582e6f418db12 | [] | no_license | LEEHWIRO/git-lhr | bbf3b1d50fd294f4630bf255bda32853804878bf | e7577f9c77b0d76848c3ed574d45274ab19378cb | refs/heads/main | 2023-05-30T08:10:37.486468 | 2021-06-23T12:41:11 | 2021-06-23T12:41:11 | 336,951,509 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,325 | py | mymnist04.py | from keras.datasets import mnist
from keras import models
from keras import layers
from keras.utils.np_utils import to_categorical
import numpy as np
import cv2
(train_images, train_labels), (test_images, test_labels) = mnist.load_data()
print(test_labels[0])
train_images = train_images.reshape((60000, 28 * 28))
tra... |
1e42bfbcac274a0ccaf98cef8a4430fe72f0e4ac | c3e2a815531ad23d30a52a7c5c49a3ebce63a15c | /wypy/networking/commands.py | 1798334f176763e33dbd8f0940702cad6650ccd2 | [] | no_license | Zabanaa/wypy | bf05be71030a9cbfae19125d8f380b4bf122a410 | e6723a53537163df8abf392a78c1672e7678b7b6 | refs/heads/master | 2021-06-09T21:51:08.874237 | 2019-11-20T13:39:42 | 2019-11-20T13:39:42 | 171,003,553 | 2 | 0 | null | 2021-04-20T19:03:54 | 2019-02-16T12:51:42 | Python | UTF-8 | Python | false | false | 922 | py | commands.py | import click
from .networking import Network
@click.group('network')
@click.pass_context
def network(ctx):
"""Perform networking actions"""
ctx.obj = Network()
@click.command('on')
@click.pass_obj
def turn_on(network):
"""Turn networking capabiliy on"""
network.turn_on()
@click.command('off')
@cli... |
80969f1900463e2deabd68031337f231e147d408 | 887bcf643eb6ef28c9f2f36a5e8c572a7e00f2ab | /share/transformers/gov_nih.py | 3e49cdbe726026e489e893fb7d3163b073066a2e | [
"Apache-2.0"
] | permissive | CenterForOpenScience/SHARE | 78e867de79c51751dc922e2e5729fbf64b10ab52 | 880fa0248fde111eafc8be7507dc5a5098ec433a | refs/heads/develop | 2023-08-11T22:08:11.408053 | 2023-05-11T17:40:47 | 2023-05-11T17:40:47 | 21,280,081 | 96 | 70 | Apache-2.0 | 2023-09-12T13:27:11 | 2014-06-27T15:19:21 | Python | UTF-8 | Python | false | false | 9,988 | py | gov_nih.py | import re
from share.transform.chain import *
import share.transform.chain.links as tools
from share.transform.chain.utils import format_address
PROJECT_BASE_URL = 'https://projectreporter.nih.gov/project_info_description.cfm?aid={}'
FOA_BASE_URL = 'https://grants.nih.gov/grants/guide/pa-files/{}.html'
def filter_... |
3e3aa58f271911fff27d84a87443ef7c81fa235b | d992094db6cbad395f060b3809a35444737fe084 | /SemanticAdaptationForFMI/FMIAbstraction/src/abstract_units/MultiRateAdaptationUnit.py | c110dac585e3068ebb3e07a0594a21a64d339cf3 | [] | no_license | tongue01/hybrid-cosim | 1dada6e1d5f8de1620cfb54adfb380ee6f12cffb | 6e7f5e86e0f2fd17383251e2996e956a78241326 | refs/heads/master | 2021-04-01T07:34:38.003001 | 2018-10-21T10:06:56 | 2018-10-21T10:06:56 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,066 | py | MultiRateAdaptationUnit.py | import logging
import numpy
from abstract_units.AbstractSimulationUnit import AbstractSimulationUnit, \
STEP_ACCEPT
from master.GaussSeidelMaster import GaussSeidelMaster
l = logging.getLogger()
class MultiRateAdaptationUnit(AbstractSimulationUnit):
def __init__(self, name, num_rtol, num_atol,
... |
a02be71b4df302062a873741c6658e31472470ec | 1925287f208182a2e0e663efa8828c7a86fa5788 | /world/urls.py | 19b396e187223fdaae1ce4d43113fa4bca8c0b95 | [] | no_license | turamant/MySQLDeep | b38108b9095e8500e6997355211c99b28541d929 | faad1dbe681f3e3a577d5049af20cb37a93bd4fe | refs/heads/main | 2023-08-21T23:14:31.306242 | 2021-10-11T17:11:27 | 2021-10-11T17:11:27 | 413,948,058 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 654 | py | urls.py | from django.urls import path
from world.views import get_city_list, get_city_detail, get_country_list, get_country_detail
urlpatterns = [
#path('', CityList.as_view(), name='city_list'),
path('', get_city_list, name='city_list'),
#path('<int:pk>/', CityDetail.as_view(), name='city_detail'),
path('<int... |
9f9939dca837a605610c792b0cf1d7d97cac8ca8 | 9e28200b71d43de1e122a964e88f1b547bfde465 | /question_leetcode/313.py | 6c7d7587d2e0d082e2d012b1a3ce8fa490199ab5 | [] | no_license | paul0920/leetcode | 6f8a7086eefd3e9bccae83752ef41cbfee1acaea | 474886c5c43a6192db2708e664663542c2e39548 | refs/heads/master | 2023-08-19T14:10:10.494355 | 2021-09-16T20:26:50 | 2021-09-16T20:26:50 | 290,560,326 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 550 | py | 313.py | import heapq
def nthSuperUglyNumber(n, primes):
"""
:type n: int
:type primes: List[int]
:rtype: int
"""
if not primes:
return False
heap = [1]
seen = set()
seen.add(1)
for _ in range(n):
num = heapq.heappop(heap)
for n in primes:
ugly_num... |
c5763d47bf970c8644468ff2619dc24988b4d487 | 15c70a52bb2a4b5b3bdd4a62d97bbe27e3989a24 | /src/lib/pointsManagement.py | 75f7deeefd669eac22bee5691d04689613407396 | [
"MIT"
] | permissive | nadimest/opentrons-colony-picker | 91cbcc7a80fe9cefa0c8f45bab7ac51a715b87e6 | 8097f12cab91398377463a3a76367b73fa0a2318 | refs/heads/master | 2021-01-01T13:29:13.253905 | 2020-07-29T14:27:49 | 2020-07-29T14:27:49 | 239,299,577 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 907 | py | pointsManagement.py |
from math import hypot
''' Operation on a list of points with format (x,y) or (x,y,z) '''
class pointsManager():
def __init__(self):
self.elements=[]
self.redoCache=None
def add(self,point):
self.elements.append(point)
def undo(self):
self.redoCache=self.elements.pop()... |
99ca7097e8385dab5801d3dcdc21691224179587 | 8d0f90f3c913caddd4045ab20e46a2d92da9e4ac | /exercise_2.py | 75e65e1f6811653b7a85f5647f8114ece25abeb1 | [] | no_license | cwkteacher/python2_debug_starter | c0c34e2f737082baa7ef85f4a5b52eb54b239582 | af79f7219c421eced375c373ac0be5210749a963 | refs/heads/master | 2021-04-15T06:54:48.353884 | 2018-03-22T16:47:30 | 2018-03-22T16:47:30 | 126,245,468 | 0 | 1 | null | 2018-03-22T16:47:31 | 2018-03-21T21:57:46 | null | UTF-8 | Python | false | false | 290 | py | exercise_2.py | def main():
counter = 0
index = 0
list_of_10s = []
while counter <= 100:
list_of_10s.insert(index, counter)
counter = counter + 5
# should print: "0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100"
print(list_of_10s)
if __name__ == "__main__":
main()
|
4d2901e0b69956cb2297963a57f00419f335e0ff | 36ccd56e0529ec0e1043e0b68aee5e8f444ddc96 | /script.py | eb10921fae49f784542be4871e3445822ac934d3 | [] | no_license | brian-chau/cython_csvs | df7d38395cd6d8787adae6b4105f6172fea3ec47 | c7020e606ccaa8b730fe39c8b24ceca6e1eac73b | refs/heads/main | 2023-08-06T02:43:32.946851 | 2021-09-25T18:52:32 | 2021-09-25T18:52:32 | 410,356,665 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 328 | py | script.py | import csv_handler
import sys
if __name__ == '__main__':
if len(sys.argv) != 2:
print(f"Expecting a filename! Received {len(sys.argv) - 1} command line arguments.")
sys.exit(0)
filename = sys.argv[1]
pu_cnt, do_cnt = csv_handler.pickup_dropoff_yielder(filename)
print(pu_cnt)
print(... |
b546f4e79d5ed5653bf0dc326d78722c0d08cf54 | 4bb2a395de60e7b793363d22d3acb2bf6ab3e407 | /client/Modules/watershed.py | eb5da62d879203e52b61dde06af445f2be0ef676 | [] | no_license | tshaark/Interactive-Image-Segmentation | 016ae031f4f70c2cca775e06df73b35d4462591b | dfab54ee3050aba3d25accf7ecaf9337ef73359f | refs/heads/master | 2022-11-16T08:49:09.867377 | 2020-07-10T07:08:43 | 2020-07-10T07:08:43 | 272,227,227 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,249 | py | watershed.py | '''
Keys
----
1-7 - switch marker color
SPACE - update segmentation
r - reset
a - toggle autoupdate
ESC - exit
'''
# Python 2/3 compatibility
from __future__ import print_function
import numpy as np
import cv2 as cv
from Modules.common import Sketcher
import os
import requests
import json
from Mo... |
54addcf6991352bb39ad443661cd49317795d98e | 33789ec4b4a2d35f06cd89068f90686650057102 | /fileIO/covid_analysis.py | b84051cf508d7ceca9a45b94347a3688ba3883a0 | [] | no_license | unnievarghese/originalpythonluminar | d9c342a5b34b7236bf34f8a53b35188b12e90b3d | 616929ff471700248b0619c35025562c131ea459 | refs/heads/master | 2023-03-01T20:59:41.165467 | 2021-01-23T11:26:09 | 2021-01-23T11:26:09 | 315,814,013 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 732 | py | covid_analysis.py | listofvalue1=[]
dict={}
file=open('covid_19.csv')
for lines in file:
words=lines.rstrip('\n').lstrip('\ufeff').split(',')
words[3]=words[3].rstrip('***')
if words[3] not in dict:
dict[words[3]]=words[8]
else:
dict[words[3]]=words[8]
for key in dict:
dict[key]=int(dict[key])
high=max(... |
17f7087e08300128003d07e45b187c5a5cc44644 | 16abf1b8a79d2abec0e453df765270a49e6f538b | /drizzlepac/wfpc2Data.py | 99a7a6fa1a1460e3dcf40223d565105eee84ebeb | [
"BSD-3-Clause"
] | permissive | srodney/drizzlepac | c2f3faa4472643fdcb282050da7a8b534baf2307 | c554523331a6204ce113d4317b7286ad39094f74 | refs/heads/master | 2020-12-28T06:49:59.935851 | 2020-02-12T21:20:52 | 2020-02-12T21:20:52 | 238,218,203 | 2 | 1 | BSD-3-Clause | 2020-02-04T13:54:43 | 2020-02-04T13:54:42 | null | UTF-8 | Python | false | false | 12,697 | py | wfpc2Data.py | """
`wfpc2Data` module provides classes used to import WFPC2 specific instrument data.
:Authors: Warren Hack, Ivo Busko, Christopher Hanley
:License: :doc:`LICENSE`
"""
import os
from astropy.io import fits
import numpy as np
from stsci.tools import fileutil, readgeis
from .imageObject import imageObject
from . i... |
b2575bd556ca37463b979ac7d036ce903c987a83 | 337aa229c68b4895ec2933b8ef5bdda0ccf31062 | /app/article-test.py | 330fec6e07782ccd7080c27e17eb2bb60610b172 | [] | no_license | mbabazif/news-highlight | c78743d52ec5a1d2817ed26da45c4eb0de4c7dd6 | 3fc474d1de9cbd9ca053ce66938eb736ef5542e9 | refs/heads/master | 2020-04-23T15:11:35.610079 | 2019-02-22T10:48:12 | 2019-02-22T10:48:12 | 171,248,165 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,369 | py | article-test.py | import unittest
from models import article
article = article.article
class ARTICLETest(unittest.TestCase):
'''
Test Class to test the behaviour of the article class
'''
def setUp(self):
'''
Set up method that will run before every Test
'''
self.new_article = article("Ne... |
7e138eccc9cb28f79dcbd110820d8f1b81e97376 | bb48204b6805f22333aee82c924811427fadedb3 | /GCE.py | e3e9d3a7ab123bf8450434eab55c48ebfeaed83a | [] | no_license | henry8527/GCE | 5c18e98a297dba217aca40c6b0144e83727c4300 | d79e34ad9e814b2766860a46ac24c3915ee232af | refs/heads/master | 2020-05-17T07:02:59.465440 | 2019-08-02T17:08:57 | 2019-08-02T17:08:57 | 183,571,141 | 45 | 3 | null | null | null | null | UTF-8 | Python | false | false | 1,303 | py | GCE.py | import math
import torch
import torch.nn as nn
import torch.nn.functional as F
# For MNIST dataset we difine classes to 10
classes = 10
class GuidedComplementEntropy(nn.Module):
def __init__(self, alpha):
super(GuidedComplementEntropy, self).__init__()
self.alpha = alpha
# he... |
d77ac09196566421f1a3a0ca8d4b13d18ae32a58 | 80352efd5dd9f2ed186a42b30813be3fde9a417d | /trunk/modules/python/ae/net.py | d52b5bb7ea47c7da20b8d7ae9b18338e42166445 | [
"MIT"
] | permissive | mbojrab/playbox | 4e5042f91b1f4d00cd38bb12c825e7c0c33c7aa5 | abbe116fc943e727119ffb47faeb41d29ffe56bb | refs/heads/master | 2020-04-04T05:59:58.158037 | 2017-07-09T02:58:00 | 2017-07-09T02:58:00 | 52,119,608 | 1 | 2 | null | 2017-07-09T02:47:54 | 2016-02-19T22:05:10 | Python | UTF-8 | Python | false | false | 29,844 | py | net.py | import theano.tensor as t
import theano
from nn.net import ClassifierNetwork
from ae.encoder import AutoEncoder
import numpy as np
from dataset.shared import toShared, isShared, getShape
class SAENetwork (ClassifierNetwork) :
'''The SAENetwork object allows autoencoders to be stacked such that the
output ... |
0eb40199c0c69b632ecd426b9143c11c6fcbea9b | 62d25a7de507ed0eacf4dd07877e1218155e592e | /src/contestsiteinfo.py | 43eba80583328c542eec4993fd0ec280ae3d37f5 | [
"MIT"
] | permissive | AokabiC/compro-reminder | 948d3ca147138c36265452539c8c92c127f677dc | 103eb8240717eeb98aa1619c65e724890803057d | refs/heads/master | 2022-12-11T05:42:51.281221 | 2020-12-18T00:57:54 | 2020-12-18T00:57:54 | 102,376,372 | 6 | 3 | MIT | 2022-12-08T01:50:24 | 2017-09-04T15:34:16 | Python | UTF-8 | Python | false | false | 119 | py | contestsiteinfo.py | from collections import namedtuple
ContestSiteInfo = namedtuple('ContestSiteInfo', ('name', 'acronym', 'googlecal_id')) |
71322cad9da791b407e436c7dec1b769d3e0ff31 | aab03d35d5ef6ab0e40e9f45de89ae236635f816 | /lba_data_validator/views/authors.py | 1461b34d23a9d6a77680b701d16ab7e097bab440 | [] | no_license | yanomateus/lba-data-validator | 03d10d0b3682b14e81ca5468150d4f4f77ce66e2 | 378f1751487dda303113bdc7bc17561e8bb7558b | refs/heads/master | 2020-05-15T13:10:26.434243 | 2019-08-25T16:53:15 | 2019-08-25T16:53:15 | 182,290,433 | 0 | 0 | null | 2019-08-25T16:53:17 | 2019-04-19T16:00:13 | Python | UTF-8 | Python | false | false | 554 | py | authors.py |
def authors_view(request):
contributors = [{"name": "Mateus",
"last_name": "Yano",
"age": 26,
"occupation": "Developer"},
{"name": "Rodolpho",
"last_name": "Santos",
"age": 26,
... |
46d029e2729c15dbf6584dfb00de09962bc21252 | 36fcead6b0c84abdb752567f6446ba4b9d6ae351 | /src/util/threadutil.py | a2f9787257c9b32b01cd32d848c44d942b96c364 | [] | no_license | wozuiku/stock | dbed9d9518da51e7cc0c3d63b6fd2710e8b29b6e | 305379489057e8318c49965d8c08aa9fc1566830 | refs/heads/master | 2020-12-26T06:57:30.159256 | 2020-05-29T00:47:03 | 2020-05-29T00:47:03 | 237,424,893 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,029 | py | threadutil.py | import pymysql
from datetime import datetime
import csv;
import re;
import threading
from src.util.sqlutil import SqlUtil;
from src.api.netease import NetEase;
class ThreadUtil(object):
def get_row_index(self, rowCount, threadCount, threadId):
rowFrom = 0;
rowTo = 0;
targetCount = int... |
d1c254740117e592c497acf9a5a3614494b915c6 | 7a2f80853fa562ae2e2e6547bc3caeb492ef2013 | /python_brewery_scraper.py | 02144b50b90ebfb5be8f867afab81b40f1123fb7 | [
"MIT"
] | permissive | myYearOfCode/bruby | 3485c18d6936d2e96f7a7e49a69c7eff7e4c5769 | 210086e0e15e9eecc504453a1a71ed0377fbef3e | refs/heads/master | 2022-12-23T13:33:35.241815 | 2019-05-25T01:47:43 | 2019-05-25T01:47:43 | 181,801,087 | 0 | 0 | MIT | 2022-12-14T05:34:41 | 2019-04-17T02:19:26 | Ruby | UTF-8 | Python | false | false | 732 | py | python_brewery_scraper.py | import json
import time
import urllib2
import requests
data='https://api.openbrewerydb.org/breweries?page=1&per_page=30https://api.openbrewerydb.org/breweries?page=1&per_page=30https://api.openbrewerydb.org/breweries?page=1&per_page=30'
i = 151
while i < 200:
url = 'https://api.openbrewerydb.org/breweries?page=%s&... |
77e8e9a3e4e1f814cfda5915633b81074092d427 | 8acffb8c4ddca5bfef910e58d3faa0e4de83fce8 | /ml-flask/Lib/site-packages/pandas/tests/arithmetic/test_timedelta64.py | 539c74b35226f7d0452f91f0bc93286980f76a32 | [
"MIT"
] | permissive | YaminiHP/SimilitudeApp | 8cbde52caec3c19d5fa73508fc005f38f79b8418 | 005c59894d8788c97be16ec420c0a43aaec99b80 | refs/heads/master | 2023-06-27T00:03:00.404080 | 2021-07-25T17:51:27 | 2021-07-25T17:51:27 | 389,390,951 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 130 | py | test_timedelta64.py | version https://git-lfs.github.com/spec/v1
oid sha256:5149005faf792f797b3ececbcaa3aa7978fd01bf518539e5e3bd9c7544831769
size 77900
|
81e58f79d8e6c77e374487444531d9e98e3c2e4c | 87bc489842317e1af7da7d8f12fc00b48f050228 | /Solutions/PE002_even_fibonacci_numbers/python/even_fibonacci_numbers.py | c2365dbe3c5840f8aed84bf95f29336013b341d6 | [] | no_license | mike006322/ProjectEuler | 1c9da8d60bed3e50a7cf24e8b09eb122f18da723 | 51382187c551f648cf77c090ace26c271b6a7b9f | refs/heads/master | 2022-11-08T06:27:23.313214 | 2022-10-26T04:32:29 | 2022-10-26T04:32:29 | 151,336,206 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,124 | py | even_fibonacci_numbers.py | #!/bin/python3
# https://www.hackerrank.com/contests/projecteuler/challenges/euler002
from functools import lru_cache
@lru_cache(maxsize=None)
def fib(n):
"""
returns the nth fibonacci number
"""
if n == 1:
return 1
if n == 2:
return 2
if n > 2:
return fib(n - 1) + fi... |
ee7b155bcb1d3bd37c514b46dbaa2090fdc121e9 | de9f5f6fca55155e25edba1e89ac87cd5c6188c1 | /【Demo.1】ファイルの自動DL＆名称変更.py | 399aa0d8bb68b6e2a64f038943a6541d6b312063 | [] | no_license | Python-Handson/SamplePrograms | 0d3247198443bd0986ca8dfce9831bc1d93e6e19 | 7bdff220ce54fb60951b6b9f1094e94a2efacc1b | refs/heads/master | 2023-02-25T03:03:57.756386 | 2021-02-01T12:10:42 | 2021-02-01T12:10:42 | 331,002,161 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,666 | py | 【Demo.1】ファイルの自動DL＆名称変更.py |
import time
import PyPDF2
import urllib.request
import re
import sys
import os
import requests
from bs4 import BeautifulSoup
#----- 入力ファイル -----
# Excel
READ_FILE_DIR = r'C:\Users\e12135\Downloads\DL2'
CTRL_PORTABLE = True if not os.path.isdir(READ_FILE_DIR) else False
READ_FILE_DIR = os.getcwd() if CTRL_PORTABLE e... |
c13c3798544e9d7480f3dca6cf3e74af1347957f | 3534aeabc82cc831b17d083404d72b503560d928 | /src/state.py | 1d965a4c226cb5d8880ad4d561beefb718588a4d | [] | no_license | Jztluo/simple_aes | 8cfade83ae78d991eb57befabfdb9aa9d5b106d9 | 1cf1c0f11354fe787a374794b9ea3164df0e9788 | refs/heads/master | 2020-03-19T08:39:22.023412 | 2018-06-05T19:24:02 | 2018-06-05T19:24:02 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,900 | py | state.py | from .byte import Byte, mb2, mb3
def is_acceptable_matrix(matrix):
if list != type(matrix):
return False
if 4 != len(matrix):
return False
for l in matrix:
if list != type(l):
return False
if 4 != len(l):
return False
return True
def is_accepta... |
9f0b7573cce48cb37a7ed50e3988b3cebc2524b9 | 9df6e93c1950b8917e43ae6ee010bfd51aa1a444 | /src0407/04075.py | 9948242e746e3c337be9c6f6a2dcf22dd25ff0b4 | [] | no_license | Coconutnn/TestCase | e04b3f33056e8067b2c59e9c91ccb9cb9ad7fdd5 | 808fafdfadd5dc6eaacc85a13483fdd2f2ebb093 | refs/heads/master | 2021-03-15T13:50:14.150045 | 2020-04-23T14:02:21 | 2020-04-23T14:02:21 | 246,855,106 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 362 | py | 04075.py | import time
import os
from selenium import webdriver
driver = webdriver.Chrome()
file_path = 'file:///' + os.path.abspath("E:\\测试网页\\upload.html")
driver.get(file_path)
driver.implicitly_wait(10)
# 定位上传按钮，添加本地文件
driver.find_element_by_name("file").send_keys("E:\\java_image_server\\images\\01.jpg")
time.sleep(3)
drive... |
0b125b342d9bcf3b7cb6ef35433d4852dec84782 | 5e0152be937e011a99f78233ee53965713e64e88 | /teste_pygame/cobra.py | dc61044d59c914ee96d6af633b37af18aa6efc34 | [] | no_license | ravizao/pequenos_projetos | 4ecf8ee7664ed948f9b04b769357169e18d9bb4a | 027e292e52017fd693b7619c12cc57e6edeffbe6 | refs/heads/master | 2022-12-13T22:51:36.300545 | 2020-09-02T22:46:54 | 2020-09-02T22:46:54 | 291,174,397 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 984 | py | cobra.py | import pygame
from pygame.locals import *
import math
pygame.init()
tela=pygame.display.set_mode((800,600))
tx=50
cobra_x=350
cobra_y=250
x=cobra_x
y=cobra_y
jogando=True
hip=math.sqrt((50*50)+(50*50))
gspeed=250/((hip-50)/(0.1*0.1))
print(gspeed)
while jogando:
tela.fill((255,255,255))
pygame.draw.rect(t... |
dd37705788f9f5ae44e092ecf73a4a7a9c681110 | c412e4e8fdb42becd0d9980a181fa3eef24f5318 | /prime.py | 92e5aed7485d82e6eebd27c2759899bbc9681d74 | [] | no_license | sralli/APS-2020 | bc4486e75fd467d4db76c8dca5d9b2095e80b12a | 6db5b9f1b79e12ec455ac1f5d9a6c9d83440d0e9 | refs/heads/master | 2020-12-21T06:33:32.445896 | 2020-05-19T12:52:44 | 2020-05-19T12:52:44 | 236,340,015 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 209 | py | prime.py | def prime(m):
if(m==1):
return(False)
for i in range(2,m):
if(m%i==0):
return(False)
return(True)
def primes(n):
p=[]
c=0
i=2;
while(c<n):
if prime(i):
p=p+[i]
c=c+1;
i=i+1;
return(p)
|
b2842fded766971ca0d3b89417e9da5baccddb32 | 1c7baf4176264684f35456681b68217916ed2f85 | /appCode/Common/utility.py | 3d7eb41c45ed37769a03e126a7eb8b17148327e6 | [] | no_license | wlee0515/LuluBot | d7c0397e0e9c911909d3a51c4d71de9920e5442b | 7b99015afa68b8d6c4da6d3549a9f9b0fcbacdb4 | refs/heads/master | 2021-02-03T22:50:48.614568 | 2020-03-16T19:02:13 | 2020-03-16T19:02:13 | 243,564,971 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,191 | py | utility.py | import os, sys
import json, yaml
from datetime import datetime
def saveObjAsJSON(iFileName, iObject):
wfile = open(iFileName, "w")
wfile.write(json.dumps(iObject, indent=4, sort_keys=True))
wfile.close()
def loadJSON(iFileName):
wFileHandler = open(iFileName, 'r')
wJSONObj = None
if 'r' == wF... |
cd4c67bdfc47bbb9c6ce6710bbe4da642de3970d | 6fefb00534b474b2c860062708da75124dd88477 | /worker.py | ed3a12698540ce4ea966d45a5ebf5e7d693e33eb | [] | no_license | thehamzarocks/tortoise-mq | 4d0afdbcf21c5e3ac365d90204feb7c7efc8063e | 07d4bcfe9f864db62ba0f2056de5946dda8ca9d3 | refs/heads/main | 2023-04-30T20:56:53.566083 | 2021-05-03T16:06:48 | 2021-05-03T16:06:48 | 363,730,010 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,614 | py | worker.py | #!/usr/bin/env python
import pika
import time
from tortoise_mq import TortoiseMQ
connection = pika.BlockingConnection(pika.ConnectionParameters('localhost'))
channel = connection.channel()
channel.basic_qos(prefetch_count=1)
channel.queue_declare('task_queue', durable=True)
# the workers are initially plagued with b... |
fd14bbe0051a20ee7f59103a75c3c6ed4798aee8 | 585fd31b948ea81e8faf03ac036567a5ad88543b | /models/data_import.py | 978b83ffd7b0339b336a2b355df6cea897e97af2 | [] | no_license | slot555/nanny | 9baaa32cabb1dbf59e9c738458c16e732b5b8fff | a49c09fa6dbdd800fb9aab089bd950b86390b542 | refs/heads/master | 2022-11-30T16:54:15.767635 | 2020-08-04T07:40:02 | 2020-08-04T07:40:02 | 284,908,186 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,265 | py | data_import.py | # -*- coding: utf-8 -*-
from odoo import models, fields, api
class DataImport(models.TransientModel):
_name = 'nanny.data_import'
_description = 'Import'
name = fields.Char(string="import")
def make_data_impoort(self):
from_data = self.env['test.mod'].search([])
for client in from_dat... |
0a9e35302c18bd43617480c21574fd319ee3b4cd | 7e16c2692ce4c15ea9da6edef4508c4ade930032 | /realestate/main.py | 3df1dc1fed827bcb31f2acbc5ff1a2e37d08623a | [] | no_license | rudalson/data-analysis-note | f2336817e9076e7d82f32fce29a8cf0ec42e3fbb | c151e7ae3b49ba6bae27395b963a66d21d3da2a5 | refs/heads/master | 2022-12-17T00:54:25.239603 | 2020-03-25T19:31:53 | 2020-03-25T19:31:53 | 216,985,900 | 0 | 0 | null | 2022-11-22T04:51:15 | 2019-10-23T06:39:06 | Jupyter Notebook | UTF-8 | Python | false | false | 5,853 | py | main.py | #!/usr/bin/env python3
# coding: utf-8
import time
import configparser
import os
import pandas as pd
import xml.etree.ElementTree as ET
import requests
HOST = "http://openapi.molit.go.kr:8081/OpenAPI_ToolInstallPackage/service/rest/RTMSOBJSvc/"
URLS = {
'apt-trade': {
'url': HOST + "getRTMSDataSvcAptTrad... |
2aaa0122ed8ec9cbcd908033b0d169d27114d65c | f763cddbab7aa2495b6fcee27a57bcf426a27f0d | /src/utils/shaper.py | 4874f36d585e10d5baac0579f4cfb448f02eb82c | [
"MIT"
] | permissive | Sapunov/pktmapper | 522f01db14cd648ffc8c19ca37f95e1113bb1a26 | 9d72a42c5b756c10c7fb0debcfc6c20031626aa1 | refs/heads/master | 2021-01-13T10:46:58.183958 | 2016-10-30T23:49:44 | 2016-10-30T23:49:44 | 72,382,484 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,557 | py | shaper.py | #!/usr/bin/env python
"""
Script for making learning sets.
"""
import argparse
import os
class ProtocolsFileNotFound(Exception):
def __init__(self, filename):
Exception.__init__(self, filename)
class NoMuchData(Exception):
def __init(self, filename):
Exception.__init__(self, filename)
de... |
235a9296db3eeace3477bbf6e8321cfac421dfff | 37932e401b36f7888b0d008be7ce9a1291849486 | /other-javasamples/cloud-samples/samples-cloud-2-aws-cognito/refresh_user_info.py | 3cdc168f37d8ed185baafb9b4294a965c1863a93 | [] | no_license | minghuadev/minecraft-tests | c1eab96ba74e58e63cfb410fd6a56fd1ea95cc24 | d4fb223e846e669d71ea1d3802b167843badbb93 | refs/heads/master | 2023-07-23T05:23:32.145860 | 2023-07-17T15:17:01 | 2023-07-17T15:17:01 | 18,784,548 | 6 | 1 | null | 2021-12-13T02:04:04 | 2014-04-15T02:23:50 | HTML | UTF-8 | Python | false | false | 1,365 | py | refresh_user_info.py | #!/usr/bin/env python
# refresh_user_info.py
# https://medium.com/@houzier.saurav/private-api-endpoints-with-api-gateway-authorizers-and-cognito-249c288b0ab8
import boto3
import botocore.exceptions
import json
USER_POOL_ID = ''
CLIENT_ID = ''
CLIENT_SECRET = ''
def error_message(msg):
return {'m... |
66fba7f239ccc2b2ef9fdb0987218793323e2c45 | 00a72be488ed749a91d17a022df102baca9d383e | /blog/migrations/0008_auto_20200603_1111.py | 13dbf9686fd9359bf4c82086fd9a98aee2355050 | [] | no_license | Damian-T417/blog | d6db1c6ec2e20df0c71cddbd001e74d4e2b2f6c8 | 9b5e2eb7b86e9e587b02fda2081c2c3c6188cf29 | refs/heads/master | 2022-11-20T16:02:07.663433 | 2020-07-21T22:56:39 | 2020-07-21T22:56:39 | 281,521,371 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 417 | py | 0008_auto_20200603_1111.py | # Generated by Django 2.2.12 on 2020-06-03 16:11
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('blog', '0007_auto_20200603_1037'),
]
operations = [
migrations.AlterField(
model_name='post',
name='image',
... |
9fd40eb421c42a9fd0ce2f716d135dd32839e3c5 | 7dd88d4ae218b8de8fe54780fb48884ef92c0b5c | /python/crack_interview/ch2/find.py | baa5658d5f8bc8d1e745efc0b87d8821e1007250 | [] | no_license | BenThomas33/practice | c98654ec3bb38740d7f69a21ea5832782abdb4f8 | 5dffbdfbdb65f959a534ed2e2ec7773ab4bc7ed9 | refs/heads/master | 2021-01-17T23:26:11.538707 | 2014-10-18T20:49:12 | 2014-10-18T20:49:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 162 | py | find.py | """
Find circle
"""
import os
import sys
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from structs import linkedlist
def find():
|
f48c9f57da4770bb62aecee943942f1aec49ae1a | 180d57ed0eb6c9012f0558c114518a82d22e7071 | /models/clustering_embeddings/get_embeddings.py | 8635625e523d5ba70a335012b169c259f203cb9d | [] | no_license | ranyd18/BT4103-Gp2-F5-Cornerstone | 5c86b9b1ac197dac527255fff16714fb50e3783b | 9ea1a112d170779d43491dddb7a5f08334d28714 | refs/heads/main | 2023-04-15T17:33:24.642286 | 2021-04-13T06:54:25 | 2021-04-13T06:54:25 | 356,870,435 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 839 | py | get_embeddings.py | import pandas as pd
from sentence_transformers import SentenceTransformer
import numpy as np
import time
start_time = time.time()
# read data
print("Reading df...")
df = pd.read_csv('../combine_sr.csv', usecols=['F5_Product','Processed_PAR','Processed_Abstract'])
df.dropna(subset = ['Processed_PAR'], inp... |
d01331d7c9df64059235ee062e90a3254cd72b98 | 32199fc3ea2af5686b38f2b5cc53dd8c6fee7546 | /Python_2_Projects/Decode_JSON.py | daddb6e6940f7c7df91a15a2cd6ff68491bcf9f4 | [
"Apache-2.0"
] | permissive | MLord88/DAT129_CCAC | b294ee9cedabd27be5b257159dff0d4e48369bad | 4d87d9caaeeac17ba1414740ca66417be6dcca3a | refs/heads/main | 2023-04-28T00:38:36.084570 | 2021-05-15T08:51:46 | 2021-05-15T08:51:46 | 336,048,145 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 432 | py | Decode_JSON.py | import json
with open('a_few_rocks.json', 'r') as rock_file:
rocks = json.load(rock_file)
print(rocks)
for r in rocks:
print(r, ':', rocks[r])
with open('a_few_rocks.json', 'r') as rock_file2:
#extract the contents of the file manually with file.read()
rawstring = rock_file2.read()
print(r... |
cfabe3f5d2062d4747d7bfd7468e16ed2c097984 | 1dd61e8bdc9b3bb50a4af891dec1a4d7d5003afa | /Chapter04/04_orb_detections.py | 4a61aca2799b209eedb68836a8bc2b3cf9365401 | [
"MIT"
] | permissive | PacktPublishing/Practical-Computer-Vision | 52485cde26cb87ee902ab7f758c06e682481af6d | b442c6da0596a286eba932d1fa208da4cbf64683 | refs/heads/master | 2023-01-22T13:08:41.615012 | 2023-01-18T10:17:05 | 2023-01-18T10:17:05 | 120,280,421 | 32 | 27 | null | null | null | null | UTF-8 | Python | false | false | 2,015 | py | 04_orb_detections.py | import numpy as np
import matplotlib.pyplot as plt
import cv2
# With jupyter notebook uncomment below line
# %matplotlib inline
# This plots figures inside the notebook
def plot_mulitple(img1, img2):
"""
Converts an image from BGR to RGB and plots
"""
fig, ax = plt.subplots(nr... |
058d93d08ac5ff0199b92358ba009af93df6598e | 882233c7d57ab4a663fd68f9e5f58d626b2edda1 | /hallo.py | 4dd22477a09224ea5f72bfd9c7f964e5bfbe27f2 | [] | no_license | rikcoal/projek-lemper | 6d0a1300c53494cba6e06e75ef4505df35f3adaa | 0d36603ba794971e116803315b0b3565c54269ba | refs/heads/master | 2020-07-22T06:46:50.394433 | 2017-06-14T15:50:12 | 2017-06-14T15:50:12 | 94,347,053 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 80 | py | hallo.py | #!/user/bin/python
print "hallo world"
print "ntap jiwa e"
print "hang tenang"
|
87878e0e05ae2de03fb7cb05f4351bd864cff328 | fd7552a7fa55d2cc0d9b50f63e31ee03a11c07e2 | /PythonForLeetCode/220_ContainsDuplicateIII.py | 5678affc345db9016316c3e27ad016020624f912 | [] | no_license | hanrick2000/leetCode-5 | 0828ad9655034b5fa90475c17f78d80ebe01d819 | 58ab36bb9b568c25ceafd5e3c2acae8057e3df0c | refs/heads/master | 2020-12-10T16:18:10.213237 | 2019-06-05T09:05:49 | 2019-06-05T09:05:49 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 917 | py | 220_ContainsDuplicateIII.py | class Solution:
def containsNearbyAlmostDuplicate(self, nums, k, t):
"""
:type nums: List[int]
:type k: int
:type t: int
:rtype: bool
"""
newlist = []
count = 0
for num in nums:
newlist.append([num, count])
count += 1
... |
fc3db83de25a1dcbddc6c0b567075f48160c54e8 | 42da62fce1d8f74110767c56f5c063473f7db483 | /Logistic regression Tensorflow.py | d0738bb1ca8fbcf624abd2c4659c011babd6997b | [] | no_license | tromper98/logistic-regression | e93d4ca8e664daa36f901bf2e07a744b25c591cf | 05c9e4bbff92d31812c5dbc4995b2f88d780cfff | refs/heads/main | 2023-06-21T11:59:07.926444 | 2021-07-13T22:25:32 | 2021-07-13T22:25:32 | 385,750,264 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,659 | py | Logistic regression Tensorflow.py | # -*- coding: utf-8 -*-
"""
Created on Tue Jan 12 18:17:09 2021
@author: kolof
"""
#Подключение библиотек
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import sklearn.metrics as ms
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import train_tes... |
31a148bd2a9014652fddcfd47a70edd77aba703a | eb6c6c0285abdf3dedd4ac978a193486fbd62b03 | /2003/0316/swea 3143-2.py | 2f6766eeb4cc1a4f820e4683851a46d9a80b1a0e | [] | no_license | ttppggnnss/CodingNote | 4a57631a4f0ef1add915dbbf051d80ad5425dbee | c211f9f0b168de0dc2def74a90bab17c13608425 | refs/heads/master | 2022-12-17T21:09:48.091735 | 2020-09-15T15:06:55 | 2020-09-15T15:06:55 | 241,315,123 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 464 | py | swea 3143-2.py | import sys
sys.stdin=open('input.txt','r')
for t in range(1,int(input())+1):
a,b=input().split()
i=0
ans=0
while i<len(a):
if a[i]==b[0]:
for j in range(len(b)):
if i+j==len(a) or a[i+j]!=b[j]:
i+=j
ans+=j
b... |
ad99157c90cc559b4433808ff5367a1e4d5d0179 | c52235a7550864e7972839b1cb1e45ac9df1d238 | /@Resources/Meters.py | cbdd3cca4c41ed1e706dd38d3de9f353fe46cab9 | [] | no_license | Kattusite/HouseOfDust | 32757f02524225eb994d6bf2a0405f98193c9a8e | 0ce527ee0b32367ad57749c94f0d80eb1a03666c | refs/heads/master | 2022-11-24T02:58:08.353718 | 2020-08-01T21:23:36 | 2020-08-01T21:23:36 | 284,341,221 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 784 | py | Meters.py | rect = """[Meter{i}{x}]
Meter=Shape
MyGradient=180 | #Background# ; 0.0 | #Background# ; 0.6 | #Background2# ; 1.0
Shape=Rectangle 0,0,#RectWidth#,#RectHeight#,#RectRadius# | Fill LinearGradient MyGradient | Stroke Color 0,0,0,1
"""
sm_rect = """[Meter{i}{x}]
Meter=Shape
Shape=Rectangle 0,0,5,#RectHeight# | Fill Colo... |
a11096af55f6e9327512124b3ff53c81f32d30f5 | aa4e4389ce1ecd2f42ab1d5c6eb85bbd56f8ab3a | /docker_cluster.py | e52b2ee6223529e3423336d9635a1f4ba85947dc | [] | no_license | subhamkrai/hadoop | 664c25041d63212302a5a74f061a3b8557ed4a73 | 791d085c4646f7357ff4caa16cdf1d378fa04f33 | refs/heads/master | 2020-03-19T11:04:10.256496 | 2018-08-29T04:49:52 | 2018-08-29T04:49:52 | 136,427,165 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,499 | py | docker_cluster.py | #!/usr/bin/env python
import commands
import os
import time
size=raw_input("enter the cluster size")
id_hadoop=[]
ip_hadoop=[]
size=int(size)
for i in range(size):
if i == 0:
id_hadoop.append(commands.getoutput("docker run -itd --rm centos6:hadoopv1"))
print commands.getstatusoutput("docker cp /home/leo/hadoop/co... |
94132b23aa191296e37f6c20b073f11962c0ea9e | 7b279ae9d82bccdfbf9eaf12697d2ee6351a976f | /throw/apps.py | 05b0769ad1d7a6d7a5cfeaf93158823bf8562eb2 | [] | no_license | leokhachatorians/my_website | 0503425d55a0c96654617b95b38bc87ee35e7118 | 1c79e688bfe032238d50dec837735a36c1a7e79c | refs/heads/master | 2020-04-10T20:10:47.680208 | 2016-10-03T06:03:42 | 2016-10-03T06:03:42 | 68,084,518 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 85 | py | apps.py | from django.apps import AppConfig
class ThrowConfig(AppConfig):
name = 'throw'
|
de40f02b6772176e71dd12c961fb7b27f95a2928 | 96c798395bf7dfbc36135264c21704f95c0465bb | /others/admin.py | 6f25f2ed2bcf92002edb389713e455f19e4fe19a | [] | no_license | thongna/SonBoutique | d22be104762c13f22205e62fceed36767de0d0b7 | efba0c392ad1a3add4cb33f7157b8adaacc16a0b | refs/heads/master | 2023-01-25T00:50:12.411879 | 2018-08-29T00:54:44 | 2018-08-29T00:54:44 | 144,157,863 | 0 | 0 | null | 2022-12-27T14:58:15 | 2018-08-09T13:41:20 | JavaScript | UTF-8 | Python | false | false | 781 | py | admin.py | from django.contrib import admin
from .models import Contact, QuestionType, Question, Messages
# Register your models here.
@admin.register(Contact)
class ContactAdmin(admin.ModelAdmin):
list_display = ['name', 'address', 'phone_number']
search_fields = ['name']
@admin.register(QuestionType)
class QuestionTyp... |
2c9a3feacb2ebc9a631a4af657834b854a3729ec | 512156978acb95f576f73dc9b32136b9758aad1b | /src/tictactoe.py | 5a235a4221c112fb9ecd6d15639416865f741d7c | [] | no_license | samihda/magicsq | 81dafbd9cbb316d84acf4febbb85158756c972cb | fcf2e61e1cd48d6abb60e2c4481c62195a53ae77 | refs/heads/master | 2020-06-10T04:10:48.888946 | 2019-12-01T23:18:26 | 2019-12-01T23:18:26 | 193,578,225 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,525 | py | tictactoe.py | from magic import size, win_combo
empty = ""
x = "X"
o = "O"
board = [empty for _ in range(size * size)]
def board_full():
return empty not in board
def move_valid(board, index):
if not (0 <= index < len(board)):
return False
return index in [i for i, cell in enumerate(board) if cell is empty]
... |
3784f3998acb3c60140657f5a281150a71e496f2 | 2f4bfb038e99f4bf0d8394c27ace357f82e1c82f | /temp_embedding/test.py | acbabe408b7c074d66e7ee9d7f0313831c95f75c | [] | no_license | NoListen/DeepWhat | b7b67c54669b8cdb10fafb9131cb0eb6d5f70a3d | 11697841dd1cf7b26ad4da24cdeb97b5a849213e | refs/heads/master | 2023-03-12T19:12:19.093738 | 2021-03-03T14:46:48 | 2021-03-03T14:46:48 | 102,484,638 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,960 | py | test.py | from tqdm import tqdm
from torch.utils.data.dataloader import default_collate
import os
import torch
import argparse
import numpy as np
from dataset import DiskDataset, get_nested_target_file_paths
from network import TempEmbed
from trainer import TempTrainer
from torch.utils.tensorboard import SummaryWriter
from tqdm... |
c7e0c05c2c206c39eb98f058dea3ee3374fb5de6 | d162bccaac68c88b1119871b71514bbba73bc069 | /main.py | 9b2f3c2a43931de2e405c2e8a279b4496c6a47ec | [] | no_license | nishanthshastry/ooad_project | 7b015077abf4e076eaddc878484dc866eab7bfd4 | 2cc5fe758b7709979a827a947da3a718bc66a46d | refs/heads/main | 2023-04-15T19:58:21.294653 | 2021-04-19T13:39:24 | 2021-04-19T13:39:24 | 359,471,565 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 343 | py | main.py | import stdiomask
print("\n\t\tOOAD project\n")
print("\tEnter Login credentials to shop!")
u = input("\n\tUsername: ")
p = stdiomask.getpass(prompt='\n\tPassword: ', mask='•')
if u=='pesu' and p=='pesu':
print('\nWelcome', u, '!!\n')
import first
else:
print('\nWrong credentials... \ntry again')
imp... |
6728fdb7efd4b3bc55f2b95119351e42ce599161 | 6e92c4834b6e5dfb793789ef190cf738163511a9 | /Calculating Protein Mass/main.py | 95f857a46b898a749d88b5394301f534f4a31bfc | [] | no_license | GaZ3ll3/Rosalind | f70dc86a288ad078dc7a035fc69861719200b039 | 3fcf483e13184fd554d3d0537fb44e2dc80d405c | refs/heads/master | 2021-01-10T19:31:33.436935 | 2013-04-15T17:21:02 | 2013-04-15T17:21:02 | 9,453,673 | 3 | 6 | null | null | null | null | UTF-8 | Python | false | false | 638 | py | main.py | # -*- coding: utf-8 -*-
dict = {'A': 71.03711,
'C': 103.00919,
'D': 115.02694,
'E': 129.04259,
'F': 147.06841,
'G': 57.02146,
'H': 137.05891,
'I': 113.08406,
'K': 128.09496,
'L' : 113.08406,
'M': 131.04049,
'N': 114.04293,
'P': 97.05276,
'Q': 128.05858,
'R': 156.10111,
'S': 87.03203,
'T':... |
6cb3af501c1e9a81dcda170d57aab85ff4f158e6 | 012d9c76bc06a7143ae43df2c50bfabdb1cf381f | /TripUpdates.py | edb1d90b09e49fb8745c81089d859840e534f3d7 | [] | no_license | geevis/GoogleLiveDataFeed | 86a8e3bcd2970acf96af022d9545381778b4033e | d6aafeff82a53ce1f10e19701e7f5a8de56359ac | refs/heads/master | 2021-01-17T14:44:11.951359 | 2016-06-21T17:48:14 | 2016-06-21T17:48:14 | 48,964,657 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 471 | py | TripUpdates.py | from google.transit import gtfs_realtime_pb2
import urllib
feed = gtfs_realtime_pb2.FeedMessage()
response = urllib.urlopen('http://192.237.29.212:8080/gtfsrealtime/TripUpdates')
feed.ParseFromString(response.read())
for entity in feed.entity:
if entity.HasField('trip_update'):
print entity.alert
#print enti... |
1e92c5771a76b8297eca0c5fe9d463849d50f98d | 246a63b241b4503f712c1a8c9346c9ce05244a6f | /readme4me.py | 9034d07961f25df77b7646a5ae04d2fde398e493 | [
"MIT"
] | permissive | amacharla/ReadME_Generator | 00faf610f5396fd488fc32ab48c070e6b27696bc | 5024e6a7ca4b1cf539825a58dd55a110ae15f468 | refs/heads/master | 2021-01-21T05:32:44.869165 | 2017-09-26T21:13:09 | 2017-09-26T21:13:09 | 101,927,507 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,622 | py | readme4me.py | #!/usr/bin/python3
# ReadMEGenerator Version 1
# Created by Anoop Macharla 08-15-17
from bs4 import BeautifulSoup, Comment, NavigableString
from sys import argv
# Arguments check
if len(argv) != 2:
print("Need to pass in a file with HTML SourceCode")
exit()
# open html file (1st argument) and parse through s... |
7ba02608badc8f7e8fde82d03a77b1e9750d66fe | 8b4268bb030fc68f99133e5e2b9df72a5d61a92c | /window.py | 88240698b109d15c8961096f65d35a0dc8ffa9e9 | [] | no_license | wesleygurgel/Tkinter | 2d618e55099773b85510ac2ff78aad032a0f3f6d | b0b341a5d5556878e8c85232b75113fab902ecfc | refs/heads/master | 2023-02-01T17:24:36.408810 | 2020-12-17T12:58:42 | 2020-12-17T12:58:42 | 294,696,947 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 514 | py | window.py | from tkinter import *
from PIL import ImageTk,Image
from tkinter import messagebox
root = Tk()
root.title("Window")
root.iconbitmap('imagens/icon.ico')
def open():
top = Toplevel()
top.title("I'm in a next level")
global myImg
myImg = ImageTk.PhotoImage(Image.open("imagens/perito.png"))
myLabel = ... |
44454c7aaf58fb0f0cc3ef49c8a6b8d093c459c8 | 80587e868a2f53719c7856e85f75b209348e5860 | /gmgard.py | 3dfeadb875bbf9fb254355dac0391c621c017a25 | [] | no_license | httpsgithu/Trash | 655d610983ba7f96a58db4f9f1e7074c2d43faf6 | 4207e89bf58b24b58008fb3738a915af1f2e44d3 | refs/heads/master | 2022-06-21T13:47:08.682495 | 2022-03-25T21:07:19 | 2022-03-25T21:07:19 | 293,013,474 | 0 | 0 | null | 2022-03-31T06:09:39 | 2020-09-05T05:59:08 | null | UTF-8 | Python | false | false | 2,578 | py | gmgard.py | #!/usr/local/bin/python
# coding: utf-8
import requests
from bs4 import BeautifulSoup
import re,os
import sys
import json
from time import sleep
from funcs import functions
class gmgard:
url = 'http://gmgard.com'
loginUrl = 'http://gmgard.com/Account/Login'
captchaUrl = 'http://gmgard.com/Captcha/CaptchaIma... |
929e99827067691b37dc8370bbc97fbe467ab69f | f676456dd79c359f70d489483ecf5ee10e50cf4b | /src/python/file_downloader_old.py | ec4a9be61d30d61a4d10a343aba8ab673e525135 | [] | no_license | sheunaluko/medline_docker | c41d5ea80b723d0ef353f679f8f46a2ded78e725 | cead445aceeaf55ab18b9bf09464998683d55eaa | refs/heads/main | 2023-03-21T18:51:31.564881 | 2021-03-16T05:10:23 | 2021-03-16T05:10:23 | 345,262,320 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,184 | py | file_downloader_old.py | import util as u
import os
import sys
log = u.register("file_downloader")
base_url = "https://ftp.ncbi.nlm.nih.gov/pubmed/baseline/"
compressed_dir = os.path.join(os.getcwd(),"../../data/compressed/")
def all_files() :
log.i("Generating files")
start = 1
end = 1062
return [ get_file_name(x) f... |
12a2a8ab5cd3d5d1716f643ec6b02ddf057c208b | d1934ef7816a171d9d78ffaba19af58acead23ac | /neutron_plugin/tests/test_security_group.py | 25a0b573e9301837b4576860906ee63281b87520 | [
"Apache-2.0"
] | permissive | jrzeszutek/cloudify-openstack-plugin | 20a4b28bd90a7295ee47276aba11ca27a18a19d7 | 2d71d5b4e10f2eaa793e47f21ac8e9da87462a7a | refs/heads/master | 2020-03-30T23:03:14.628747 | 2018-10-22T13:19:36 | 2018-10-22T13:19:36 | 151,688,879 | 0 | 0 | Apache-2.0 | 2018-10-05T08:00:33 | 2018-10-05T08:00:44 | null | UTF-8 | Python | false | false | 3,665 | py | test_security_group.py | # -*- coding: utf-8 -*-
#########
# Copyright (c) 2016 GigaSpaces Technologies Ltd. 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/license... |
12d2c2891f87358eac9db7fbc3cc9c323b31cfce | 515b5671aa966956605a1565f11c5a72e3f01ea5 | /Email_V2.py | 8e0092f496f3e9a300cc53a46c7ebac132c99353 | [] | no_license | julian1999/Audify | da0a030b0972c9e52736e410e626e4b9b31490e3 | 972bbfe15e29ff8675d90114f76377252f43d462 | refs/heads/master | 2020-03-19T05:00:15.465928 | 2018-06-03T09:38:24 | 2018-06-03T09:38:24 | 135,890,472 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,142 | py | Email_V2.py | import smtplib
import sndhdr
from getpass import getpass
from email.mime.multipart import MIMEMultipart
from email.mime.audio import MIMEAudio
server = smtplib.SMTP('smtp.gmail.com', 587)
print("IMPORTANT: MUST ENABLE ACCES FOR LESS SECURE APPS")
print("Login only available for gmail accounts")
username = input("Enter ... |
3906b25c3b29599a66f26ace7fcca0b8d49c6433 | 252289003a312e81033c0510ffb6c74601330e30 | /yyTorHandler/yyTorHandler.py | 775c3966d22a88345121a17b67e4d7f2f8a14b6b | [] | no_license | ComiCoder/YoYoProject | 5283d9b83d3b87077916697b9a861b1d8233c0a6 | 3fb5a80642c98a2eeef3b78c4dbca4f3e8d86a90 | refs/heads/master | 2021-01-22T10:18:27.728374 | 2014-12-17T07:03:39 | 2014-12-17T07:03:39 | 26,566,679 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 149 | py | yyTorHandler.py | '''
@author: ryu
'''
import tornado
class YYTornadoHandler(tornado.web.RequestHandler):
def get(self):
self.write("hello!")
|
baae942e48a25b7f73bf88ca4925f7a0545465e3 | a969993b6fae8111f4dee159d89ee70e40e49c8e | /sklearn_and_tf_experiments/svm.py | 8cfa27914f79b9d8e5f6a57883c99a68d194e8c4 | [] | no_license | rynsy/ml-experiments | 53575e011cbdb4d2794773855cf6c1c1c1f151b2 | 01946a4be98ee7085d90c8657e0228ecb1942d94 | refs/heads/master | 2022-11-28T09:10:17.827135 | 2018-09-12T15:47:18 | 2018-09-12T15:47:18 | 148,504,572 | 0 | 0 | null | 2022-11-22T01:06:32 | 2018-09-12T15:47:55 | HTML | UTF-8 | Python | false | false | 1,213 | py | svm.py | from __future__ import division
import numpy as np
from sklearn import grid_search
from sklearn.cross_validation import train_test_split, cross_val_score
from sklearn.svm import SVC
from sklearn import metrics
PRINT_MATRIX = False
def true_positives(m):
s = 0
t = 0
for i in range(len(m)):
... |
942feda9cdc1dff4e2cfb083604f6b33be0c92ab | 2a8c8e48a583332b4c336d2450c500305a775435 | /team2.py | 0b1d6a4cdaaaf17a28f365622ca3ee4d423dcfc2 | [] | no_license | aenriquez06/CSP_AbisaiEnriquez2017 | 6ed644daac1f98fd080cec84cab2015da30082b7 | 4f0b7e6756b2c0b24aeccbad0d5f244d717a9de9 | refs/heads/master | 2021-01-12T03:00:26.506682 | 2017-01-05T21:09:47 | 2017-01-05T21:09:47 | 78,146,845 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 40 | py | team2.py | # CSP_AbisaiEnriquez2017
Andres Marrufo
|
270b66bdfd72bd3247841d45431e0e105570d4db | ec6eb6d115102eccaf40d1f6ef2750ee54070b47 | /AOC_day17.py | e83ccf58d6fc9866063457f2a058ae76187b5925 | [] | no_license | cm226/AOC_2020 | 38ad131c9ea7325276aeebe79550eeb97df7394d | 9c1fcadcce054e9e26b1cccf5857e51f19bca455 | refs/heads/master | 2023-02-05T22:25:36.557982 | 2020-12-23T14:36:48 | 2020-12-23T14:36:48 | 322,918,239 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,115 | py | AOC_day17.py | import copy
from operator import add
def AddW(idx, grid):
global m_dim
global min_dim
# make a box the right size
box = {}
for z in range(min_dim[1], m_dim[1]):
box[z] = {}
for y in range(min_dim[2], m_dim[2]):
box[z][y]={}
for x in range(min_dim[3], m_dim[3... |