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c4f437e6f5aaeccb6dd0948c3ed1f1d465bb29ce | 72ba6b9d34bd9d7700a0ec03f80e68c57b1fb5e5 | /Alexa_project 2.py | 92c693c1a931e843f9b9d0af4f661b7985a0b9a6 | [] | no_license | tejasghinmine009/Mini-Alexa | 234bbce7670be86bfb0eef77626b252d344fcfcc | 3eb6daef06f720568d1620271428daa1f59109e5 | refs/heads/main | 2023-06-20T08:22:47.890098 | 2021-07-11T15:40:30 | 2021-07-11T15:40:30 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,058 | py | Alexa_project 2.py | import speech_recognition as sr
import pyttsx3
import pywhatkit
import datetime
listner = sr.Recognizer()
engine = pyttsx3.init()
#change voices
voices = engine.getProperty('voices')
engine.setProperty('voice',voices[10].id)
rate = engine.getProperty('rate')
engine.setProperty('rate', 150)
#for machine to say
def t... |
4ed730369cf065936569a8515de44042829c2143 | 9fe0162a62ff6042be6f6a7efb7aa55e56fef42d | /com/filehandling/FilesandFolders.py | 40a2b8b1f41f1d6ed4c120162dcf13051b325df2 | [] | no_license | mailmevijayakarthik/Python_Skills | d5f75d8a74ee5bac4c4576fb3c3ade86d9994a4a | 7b7117731fe5c3926cd8e272f44a5eb827997a82 | refs/heads/master | 2023-03-19T07:21:29.208137 | 2020-02-24T18:08:19 | 2020-02-24T18:08:19 | 213,039,429 | 0 | 0 | null | 2021-03-20T02:21:54 | 2019-10-05T17:12:34 | HTML | UTF-8 | Python | false | false | 1,029 | py | FilesandFolders.py | import os
from test.test_unicode_file_functions import filenames
def writeUniquerecords(dirpath,filenames):
sourcepath=os.path.join(dirpath,filenames)
with open(sourcepath,'r') as fp:
lines= fp.readlines()
destination_lines=[]
for line in lines:
if line not in destination_l... |
b65d25198d55ab4a859b9718b7b225fa92c13a2b | f166eef7d60b2083bdf64985510c31237896e41a | /tests/unit/core/test_rect.py | 043f47284d5d1b2a2688eb58fd745d3fea737e32 | [
"Apache-2.0"
] | permissive | valer-whylabs/whylogs | fe79b71dffe19ee546cdc1d04b80413b7b01ee5a | f71cc98a250c68365ee19b15f7b1eba72677209a | refs/heads/mainline | 2023-06-29T10:23:55.781087 | 2021-07-29T22:58:10 | 2021-07-30T01:39:22 | 360,577,978 | 0 | 0 | Apache-2.0 | 2021-04-22T16:04:46 | 2021-04-22T16:04:45 | null | UTF-8 | Python | false | false | 503 | py | test_rect.py | from whylogs.core.annotation_profiling import Rectangle
def test_rect():
rect = Rectangle([[0, 0], [10, 10]], confidence=0.8, labels=[{"name": "test"}])
test = Rectangle([[0, 0], [5, 5]])
assert rect.area == 100
assert rect.intersection(test) == 25
assert rect.iou(test) == 25 / 100.0
def test_r... |
e78c4f65d84d5b33debb415005e22f926e14d7d4 | 9e1e1ee12b4523ba015fb9c1dfba733b29b620f8 | /src/csv2df/runner.py | bd450f48a1e4c7eedfe4da3033a75f4daf0b45de | [] | no_license | garymau/parser-rosstat-kep | c4f11574ab200221a0e88662eb67523a60b93496 | 16f90748ca2271fab92bef0c49cf97d31af4a8a5 | refs/heads/master | 2021-08-28T09:42:37.852235 | 2017-12-08T09:10:22 | 2017-12-08T09:10:22 | 113,605,766 | 0 | 0 | null | 2017-12-08T18:36:21 | 2017-12-08T18:36:20 | null | UTF-8 | Python | false | false | 3,493 | py | runner.py | """Get pandas dataframes for a given data and month.
*get_dataframes(csvfile, spec=SPEC)* is a function to get dataframes
from *csvfile* connection under *spec* parsing instruction.
*Vintage* class addresses dataset by year and month:
Vintage(year, month).save()
Vintage(year, month).validate()
*Collecti... |
5ab877ef15cdcd52463b1567c28327dc2eeea2de | 9b10e921fdfd319ad143c4cb61e0831c412dc4c5 | /browse/util.py | 7fbb3f923b990289fb906a1f6b1964d202e242c1 | [] | no_license | fajiel/selenium | ecb32222f75cfec9d4f2fa9c58cfec20775548e8 | c5ac6c27bb3d66418e4afd601d9004ce3f31d876 | refs/heads/master | 2021-01-19T15:13:45.379329 | 2017-08-21T14:54:34 | 2017-08-21T14:54:34 | 100,952,722 | 6 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,346 | py | util.py | from selenium import webdriver
from selenium.common.exceptions import WebDriverException
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
SELENIUM_TIMEOUT = 12
def get_browser_driver():
"""获取浏览器服务... |
a21942a835f7b2ea70e9dd7b26285ea2dd411750 | 31af58494bda931ff2cdf321009d897bdab1b8e7 | /oop3_2.py | a0d7d57ccb6313a103c67f7cf5e9ee78485f903f | [] | no_license | SeezSawz2222/python_oop_002 | 24f6719887e1bfe66406d38e1859ac3a759016ff | 49bdec0bbe4701f5d1baef1a5d1898f474a98a90 | refs/heads/main | 2023-01-12T18:03:50.390500 | 2020-11-18T04:01:27 | 2020-11-18T04:01:27 | 313,818,315 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 455 | py | oop3_2.py | class person(object):
population=50
def __init__(self,name,age):
self.name=name
self.age=age
@classmethod
def getpopulation(cls):
return cls.population
@staticmethod
def isadult(age=17):
return age>=18
def display(self):
print(self... |
50ae47c88bbc0f281ef75784377fb65192e257b0 | 454157067b163d8f6fcc5af7d04c987aef0caaab | /Homework 3/DLT.py | 649fcb725114486a6bc0ef809eecd156188c9edd | [
"MIT"
] | permissive | anthonyn2121/vision_algorithms | 63ced28e9c30805ab763361d0717bfb5a5d3dd5d | c2d734d8a06329cfc2f61ed808735dda5a0bde38 | refs/heads/master | 2022-11-26T04:04:25.531635 | 2020-08-03T18:45:33 | 2020-08-03T18:45:33 | 278,912,699 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,530 | py | DLT.py | import numpy as np
import cv2
import glob
from scipy.spatial.transform import Rotation
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import mpl_toolkits.mplot3d.art3d as art3d
from matplotlib.patches import Rectangle
import celluloid
from celluloid import Camera # couldn't save animation ... |
480e6ae9eee70b2da58ca5624a43d8f5dcae1d33 | ce032aee4a926b0b305c2b76203d374c0ddf7160 | /mmtfPyspark/tests/datasets/test_secondaryStructureExtractor1.py | 31f57f2717f7023a349424c3f8a3ae64c758036b | [
"Apache-2.0"
] | permissive | NicholasAKovacs/mmtf-pyspark | a8d179557f4c71c95ddec6973dd0d3f0faffdd0d | 48b0b4c37ee38e854707633eb26815fc2bc47f7c | refs/heads/master | 2020-03-16T16:28:54.002486 | 2018-05-08T23:32:21 | 2018-05-08T23:32:21 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,018 | py | test_secondaryStructureExtractor1.py | #!/usr/bin/env python
import unittest
from pyspark import SparkConf, SparkContext
from mmtfPyspark.io.mmtfReader import download_mmtf_files
from mmtfPyspark.datasets import secondaryStructureExtractor
from mmtfPyspark.filters import ContainsLProteinChain
from mmtfPyspark.mappers import StructureToPolymerChains
class... |
3b959481f7c818ec35b8af174b1982954b4c72eb | 2e7a5f041b8473811fee4865e58bab7b7cc85cf7 | /src/django_registration/forms.py | 20f44692ed29eb41897d0297a939b19b72d89611 | [
"BSD-3-Clause"
] | permissive | ubernostrum/django-registration | c778f5f205a064548643b740525a472cc32f774f | 7a1d8609b7c262f0321bbb39a6f901b9a6953cce | refs/heads/trunk | 2023-08-29T13:24:29.668628 | 2023-07-11T06:00:10 | 2023-07-11T06:00:10 | 12,749,575 | 968 | 337 | BSD-3-Clause | 2023-06-12T06:59:25 | 2013-09-11T06:47:29 | Python | UTF-8 | Python | false | false | 3,840 | py | forms.py | """
Forms and validation code for user registration.
Note that all of these forms assume your user model is similar in
structure to Django's default User class. If your user model is
significantly different, you may need to write your own form class;
see the documentation for notes on custom user models with
django-re... |
cfa7dc295c635bbdf707f1e899c4fbf8ea91df9a | c7e765a9bed33d3bfb21774e3995bf4a09e04add | /adminmgr/media/code/python/map1/BD_231_896_084_090_mapper.py | 11e04292448c137287c239c1927d9d504d53811d | [
"Apache-2.0"
] | permissive | IamMayankThakur/test-bigdata | 13dd2ac7fb76c9baed6c3a0aa943057a22e2d237 | 7f507918c7bec31c92eedcd94491a83486623049 | refs/heads/master | 2022-05-03T00:59:44.127494 | 2022-02-10T19:50:16 | 2022-02-10T19:50:16 | 201,585,028 | 10 | 4 | Apache-2.0 | 2022-04-22T23:39:45 | 2019-08-10T05:34:09 | Python | UTF-8 | Python | false | false | 439 | py | BD_231_896_084_090_mapper.py | #!/usr/bin/python3
import sys
import csv
infile = sys.stdin
for line in infile:
line = line.strip()
my_list = line.split(',')
if my_list[0] != "ball":
continue
batsman = my_list[4]
bowler = my_list[6]
if my_list[9] == 'run out' or my_list[9] == '""' or my_list[9] == "retired hurt":
... |
dfd823c42e8a3b405483e81cc4a22006d7b371a3 | dde1c19a9438de0e03198a1e6915b89a31e867b3 | /advent_2019/advent_code_2019_day05.py | 9c53bb6332fb0e22a9a55532492b990eb5b675d3 | [
"MIT"
] | permissive | pllim/playpen | 05d11df9080d2b739c3d4688204b7f22ddfe8f79 | 99d05adf5efb22731cbdd138f05b8c1374a73d57 | refs/heads/master | 2023-04-12T22:05:07.933298 | 2023-03-30T12:28:21 | 2023-03-30T12:28:21 | 7,916,583 | 3 | 2 | MIT | 2021-08-16T14:17:30 | 2013-01-30T14:55:51 | Jupyter Notebook | UTF-8 | Python | false | false | 5,973 | py | advent_code_2019_day05.py | import os
import sys
# A modified version of the same function in Day 2.
def process_opcode(opcode_in, inbuf=None, outbuf=sys.stdout, debug=False):
opcode_list = opcode_in.copy()
n = len(opcode_list)
i_list = 0
def _get_val(mode, idx):
if mode == 0: # position mode
val = opcode_l... |
fb14cb3984ae469f52c2bdff5f6d2689739e3b20 | bf47722c49c8e26fc3946ec293b080b9899240a8 | /LPR/whole_pro/e2e.py | 694f547b34a959027b9639a26478fbc766b05fc9 | [] | no_license | renxiaokai-heiyan/Smart_city_Genplate-LPD-LPR | e9aae25e7e542d3dccf02a88d9b417696d71dce8 | f93d8f1a66358be22c37ce94c089d2ab6284a602 | refs/heads/master | 2022-01-25T05:57:31.002166 | 2019-07-24T15:53:14 | 2019-07-24T15:53:14 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,910 | py | e2e.py | #coding=utf-8
import numpy as np
import cv2
import time
import e2emodel as model
from keras.models import *
from keras.layers import *
chars = ["京", "沪", "津", "渝", "冀", "晋", "蒙", "辽", "吉", "黑", "苏", "浙", "皖", "闽", "赣", "鲁", "豫", "鄂", "湘",
"粤", "桂","琼", "川", "贵", "云", "藏", "陕", "甘", "青", "宁", "新", "0", "1", "... |
970c1f8821b0aa177eade7725d486625b20b5e17 | 92f2830a7164c0944460f2b881defcf71fb6feab | /ead/viaf/putname.py | 71b25c848365702b4914e4d00745062fd21f1433 | [
"CC0-1.0"
] | permissive | didesilv/migration-tools | cbd92cecec934997f58f486a122e4cc179ee2b0a | a21f161a0c2182f9cb94dd1d57bc4da05482842f | refs/heads/master | 2020-06-22T18:53:02.326721 | 2015-08-27T13:42:53 | 2015-08-27T13:42:53 | 197,779,315 | 1 | 0 | null | 2019-07-19T13:40:03 | 2019-07-19T13:40:02 | null | UTF-8 | Python | false | false | 2,167 | py | putname.py | # import what we need
import os
from lxml import etree
from tqdm import tqdm
# requires the constants.py file made by the makedictionary.py script
from constants import persnames_dictionary
from constants import corpnames_dictionary
# where is your ead input directory, and where will you be saving the changed files... |
5d22d165aaba8dca7166c505a7c3f025d25610a7 | 380481e90cee6d3c201fb54435bcbd863bcb1afd | /src/similarity/similarity_calc.py | d349d2b55a526ae2b005bb308ed1034b0b3e36d4 | [] | no_license | aronglennon/automatic_programming_sound_synthesis | d9c1ef1b020942cf762b425ef6d1e8d96bd36da3 | c42f579e499ff9504199b58220873393662130ba | refs/heads/master | 2016-08-05T18:08:51.260277 | 2014-06-18T19:11:31 | 2014-06-18T19:11:31 | 8,526,808 | 9 | 0 | null | null | null | null | UTF-8 | Python | false | false | 18,013 | py | similarity_calc.py | import numpy as np
import rpy2.robjects.numpy2ri
from rpy2.robjects.packages import importr
from features.features_functions import get_features
rpy2.robjects.numpy2ri.activate()
# Set up our R namespaces
R = rpy2.robjects.r
DTW = importr('dtw')
from matplotlib import pylab as pl
import math
def get_similarity(featu... |
df5c38f85331d9ac48cc0fe723ad4180d2069c59 | 28157774147b505239ed82e1d195ec523535a98c | /tests/test_tokenizer.py | 84ef76a9d2d1e8faf60b057e20db43d3a9cfc377 | [] | no_license | tonyedgecombe/pytinybasic | bf5a156a433e2d954896f90028c56107f62358f7 | 4e54ada9316afea9b33463b16d300125d4529eb1 | refs/heads/master | 2020-04-08T13:49:07.810464 | 2011-07-25T08:14:32 | 2011-07-25T08:14:32 | 1,832,505 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,031 | py | test_tokenizer.py | from unittest import TestCase
from tokenizer import Tokenizer, Token
class TestTokeniser(TestCase):
def setUp(self):
self.tokenizer = Tokenizer()
def test_number(self):
self.tokenizer.parse('100')
token = self.tokenizer.getNextToken()
self.assertEqual(token.NUMBER, token.type)... |
4f6d6b3d9d9926df3632f999357bd2f38a9379ad | 70e7b96743388afbb9485e0fc32ad739fc5777fa | /config.py | 5984aefdd358447202b3ae1493d112cfecfcea64 | [] | no_license | itaykatanov/recommender-systems | df1a93936801091ba676625a5e876ae4545e2e18 | 18ecb910d1e7f1e209f97214a4c603838ab88762 | refs/heads/master | 2022-12-28T21:14:51.954125 | 2020-09-18T12:33:52 | 2020-09-18T12:33:52 | 270,212,248 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 689 | py | config.py | SMALL_TRAIN_PATH = "data/small_feed"
TRAIN_PATH = "data/Train.csv"
VALIDATION_PATH = "data/Validation.csv"
USER_COL_NAME_IN_DATAEST = 'User_ID_Alias'
ITEM_COL_NAME_IN_DATASET = 'Movie_ID_Alias'
RATING_COL_NAME_IN_DATASET = 'Ratings_Rating'
# for internal use
USER_COL = 'user'
ITEM_COL = 'item'
RATING_COL =... |
84998dead41d385056d96e2da94e2f04fadb214d | dd06c5c781946878eb8fe36812c6531b10442ea8 | /calculaCat.py | 03f463747c20c86fa34794d6810bdaca17d83f4b | [] | no_license | darmel/python-curso | 69037ede06f16bdeccc11d23823d9687ae27181e | 4d3bce38e49aea1e96657819773e09c27da4f6e0 | refs/heads/main | 2023-06-13T21:40:41.818849 | 2021-06-28T01:00:09 | 2021-06-28T01:00:09 | 341,701,194 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,910 | py | calculaCat.py | #calculadora de edad de gatos
#Programa para calcular aproximadamente la edad de tu gato en
#años gatunos
nombre = str(input('Ingrese el nombre de su mascota felina: '))
genero = str(input('ingrese el genero de su mascota felina: '))
edad = float(input('ingrese la edad de su mascota felina en años: '))
def c... |
6ab727deeef3e4462a60b2787c998d501f5088b3 | 6f949d729afffa5efc9f548bbfb58cdef3779d68 | /python/hackerrank_questions.py | 409d48d9b7b32f467baf45b943afc6e436cd1c92 | [] | no_license | barjinderpaul/Programming | ce02ad97d5fae968172ca397c483cc539a4b83f1 | e48f4825cbe90f28e173f27071e5b0dd8740a8ff | refs/heads/master | 2020-08-04T07:13:41.479369 | 2019-11-16T09:16:34 | 2019-11-16T09:16:34 | 212,045,826 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,864 | py | hackerrank_questions.py | '''
Question = list comprehensions
even_numbers = [x for x in range(2,13) if(x%2==0)]
print(even_numbers)
#with lamda function :
lst = [ 2,3,4,5,6,7,8,9,10]
even_numbers = list(filter(lambda x : x%2==0,lst))
print(even_numbers)
#reduce
from functools import reduce
sum = reduce(lambda a,b : a+b,even_numbers)
print(... |
5ed371ef5da7e0bf5aa0a33ae703662633d9e6b2 | 4a7ffe337283eff0b69bb8f77714ed3d645a0e1b | /composition.py | 1307325dca14aea1d867317e95db45e357872a4a | [] | no_license | temitopeakinsoto/intro-to-python-mastery-exercises | 233ee92d0166d1dcf470fd447ca25cd9a6bb1b54 | dcc20149b5d563e0d3c7db0da6af643931053e47 | refs/heads/master | 2021-01-03T06:09:41.655917 | 2020-03-23T09:11:11 | 2020-03-23T09:11:11 | 239,955,262 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 601 | py | composition.py | class Salary:
def __init__(self, pay, bonus):
self.pay = pay
self.bonus = bonus
def cal_annual_salary(self):
return self.pay*12 + self.bonus
def __str__(self):
return f"I earn {self.pay} monthly!"
class NYSC:
def __init__(self, name, pay, bonus):
self.name = na... |
d38eb2d9ba73e6aed743d4ae3d7cbd9d65bbc3cf | f0bb7e9876d94cb80bde07468a2911a597932047 | /tenants/migrations/0004_tenant_rent_tenant.py | 535f29ce161a66c288a3d0ce78a468c86f9a6929 | [
"MIT"
] | permissive | Zayanto/Protocol-CRM | 47f1de31f0f4318ad52068d960c03b3d3ed712b5 | c81489d69de581d8216e20f7dd80089116f85c7b | refs/heads/master | 2022-11-23T11:11:02.090484 | 2020-07-26T17:32:49 | 2020-07-26T17:32:49 | 282,688,747 | 0 | 0 | MIT | 2020-07-26T16:26:25 | 2020-07-26T16:26:24 | null | UTF-8 | Python | false | false | 434 | py | 0004_tenant_rent_tenant.py | # Generated by Django 3.0.1 on 2020-06-21 00:06
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('tenants', '0003_auto_20200621_0000'),
]
operations = [
migrations.AddField(
model_name='tenant',
name='rent_tenant',... |
d3eff870e17f7636bb428a64c1a8885886cb4edc | 3a170895f9ad0829bb9c08c7308c4457837e830b | /07-handy-haversacks/solve.py | 62a11b755cc260f35055e8d57f3fd582c4c4d8bb | [] | no_license | robbystk/advent-of-code-2020 | 610e97b8177c6811384b1f24d2065b8080f5c150 | d3bcc01ee8820fb1529f8e094015bb7dad49407e | refs/heads/master | 2023-02-14T15:29:53.682993 | 2020-12-28T18:51:55 | 2020-12-28T18:54:29 | 317,906,007 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,942 | py | solve.py | import sys
import re
def input():
with open(sys.argv[1]) as f:
for line in f:
yield line
path_cache = {}
def paths_to_color(rule_list, starting_color, desired_color):
rv = []
for content in rule_list[starting_color]:
color = content[1]
if color == desired_color:
... |
88034cf4b1c07ec429bc8ebb521360ef715023d6 | ab56451760e25452a864557617c6b3a454227b2a | /1.TrainingSimulation.py | 6b50db6e693109cbf08ea8077e91f2e3cf5d05be | [] | no_license | GitDip008/self_driving_simulation | 42950fcbbb286c042d2b912aa25580b064fab302 | 034147fa7592447203a078d1305e6977b3778647 | refs/heads/master | 2023-06-08T17:26:47.424266 | 2023-06-06T18:50:56 | 2023-06-06T18:50:56 | 293,272,409 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,492 | py | 1.TrainingSimulation.py | from utilities import *
from sklearn.model_selection import train_test_split
#### 1. Importing the data information
path = 'data'
data = import_data_info(path)
# Next, We have to balance the data so that we have equal number of information from
# the center, left and right camera.
#### 2. Visualization and Distrib... |
b6e1fac0c505e2f122124654d8f11ad3c38445e8 | 2148639dee4c4827a3d3bc4da54b33707cd148c0 | /autonomous_driving/occupancy_prediction/projects/mmdet3d_plugin/core/bbox/match_costs/match_cost.py | d9678f3c7f666255540762d4064f0f7d82b920ed | [
"Apache-2.0",
"MIT"
] | permissive | OpenGVLab/InternImage | 4ad8fb8131385a6d6ee8eaab2de5b47edc9e0a73 | 3e083be9c807793ec1d6a9ffe091978ee01de02b | refs/heads/master | 2023-09-01T19:47:39.591459 | 2023-08-23T14:06:56 | 2023-08-23T14:06:56 | 564,231,518 | 1,834 | 176 | MIT | 2023-08-25T06:08:38 | 2022-11-10T09:24:57 | Python | UTF-8 | Python | false | false | 852 | py | match_cost.py | import torch
from mmdet.core.bbox.match_costs.builder import MATCH_COST
@MATCH_COST.register_module()
class BBox3DL1Cost(object):
"""BBox3DL1Cost.
Args:
weight (int | float, optional): loss_weight
"""
def __init__(self, weight=1.):
self.weight = weight
def __call__(self, bbox_p... |
1b9779aa471db1490cc02d98458e1cb78a50aa9d | 2790ca25a6f83693c2c15765738bf9fbc35fba3e | /code_base/survey_form/views.py | 60ab088c7ff56fe3cd17c991a912adc99a6f9d36 | [] | no_license | Anarde-Foundation/village-development | df9205303abefedaa782f244a76a388457c853fb | 7b462d521b23934fb8e004566ccab9822284d45e | refs/heads/master | 2020-07-14T14:35:49.439358 | 2020-01-13T11:07:01 | 2020-01-13T11:07:01 | 205,335,325 | 0 | 0 | null | 2020-01-13T11:07:02 | 2019-08-30T08:06:05 | JavaScript | UTF-8 | Python | false | false | 15,193 | py | views.py | from django.shortcuts import render, redirect, get_object_or_404
from django.http import HttpResponse, JsonResponse
from django.contrib.auth.decorators import login_required
from django.views.decorators.csrf import csrf_exempt
from django.core import serializers
from itertools import chain
from django_datatables_vie... |
1c9f7594d71a48b45b1d58ac1cfe36788c377703 | 509150f5f0cd5e955f2c27c1e5edbe458d4100cb | /Libraries/Python3/pineapple/notifications/__init__.py | 11409739b463c3b689c7b7cbdeae9e98011f273a | [] | no_license | AntoTek/mk7-modules | c0a67100105f54d80a7c595a86c31bf170619eec | e78d0adc0376ccabce32afcc49c38ed1e0ed6bac | refs/heads/master | 2023-04-09T21:09:01.394553 | 2021-04-08T15:48:40 | 2021-04-08T15:48:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 64 | py | __init__.py | from pineapple.notifications.notifications import Notifications
|
c9a680ba2cf7a6eb7674b72f916273207c8bf5e6 | 1a96a551d60b574a6350b13dff08f2488257be0f | /synapse/tools/superhash.py | e8cf688f5602b89fb2b38adcd6a46f92e4a0470e | [
"Apache-2.0"
] | permissive | vertexmc/synapse | 82b0ee3520202b8a1dc372a93b29aa4bd98d216f | bd1f8ab1abcbaac20dc9afb9ad385cf831278ada | refs/heads/master | 2021-01-11T21:07:29.161399 | 2018-06-28T23:12:38 | 2018-06-28T23:12:38 | 79,249,563 | 0 | 0 | Apache-2.0 | 2018-05-03T16:07:46 | 2017-01-17T16:50:56 | Python | UTF-8 | Python | false | false | 2,535 | py | superhash.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
synapse - superhash.py
Created on 4/26/17.
Generate the hashsets and guid (superhash) for a file.
"""
# Stdlib
import os
import sys
import json
import logging
import argparse
# Custom Code
import synapse.lib.output as s_output
import synapse.lib.hashset as s_hashset
l... |
59a376d89804eaa8c8468cba3de087547dd3dc30 | d2efc6b1d012cc9baae1c8429afb3f15d348cce1 | /luffy_permission/rbac/templatetags/cal.py | 93d7e6367ed88bc54044fb6b21bc7a1a440ac752 | [
"MulanPSL-2.0",
"LicenseRef-scancode-mulanpsl-2.0-en",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | luyl1017713252/python | d46f280d1149a772d102aa96cfa3afc4cef6dbd9 | 3b30cffa85b625e512415fa882b4bc7708a5e0b8 | refs/heads/master | 2023-05-11T03:53:43.112742 | 2021-06-04T06:01:18 | 2021-06-04T06:01:18 | 373,741,324 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,534 | py | cal.py | import re
from django.template import Library
register = Library()
@register.filter
def mul(x, y):
return x * y
#
# def tag(val):
# return
@register.filter
def lowerse(val):
return val.lower()
@register.simple_tag
def mul_tag(x, y, z):
return x * y * z
@register.inclusion_tag('menu.html')
de... |
0f5901dc4c00ecf58c8f87091e1a61513eb11a25 | fcc900198cb5759e857220e48302629f6114041e | /api/v1/views/places.py | 8fd0d54492635b51aa73331909056c5cdfea2eb0 | [
"LicenseRef-scancode-public-domain"
] | permissive | YerardinPerlaza/AirBnB_clone_v3 | 84441a01fbaf6180f296e3e58b6ef6603024d620 | c0634cf13b04f1c822629901b64aa6fbabbe870b | refs/heads/master | 2023-08-11T21:43:46.683710 | 2021-09-20T20:46:30 | 2021-09-20T20:46:30 | 407,274,147 | 0 | 1 | null | 2021-09-17T14:28:34 | 2021-09-16T18:30:04 | Python | UTF-8 | Python | false | false | 2,668 | py | places.py | #!/usr/bin/python3
"""State view module"""
from api.v1.views import app_views
from flask import jsonify, abort, request
from models import storage
from models.state import State
from models.city import City
from models.amenity import Amenity
from models.user import User
from models.place import Place
@app_views.route... |
c27fb863219be44f3c6a60d0886aa42edd941b85 | afaf93f60d90a728092e338198e90dd2226533f1 | /hapoel_shop_utils.py | 53e4eeb058ca052cb0ca156fb591ad092df05112 | [] | no_license | noam443/HapoelTLV | 43699b47a42427b1810b321a696e052517f5f890 | 0c7e44617aa7d8000f526c16a5ef00c575187289 | refs/heads/main | 2023-06-06T23:14:36.971860 | 2021-07-08T19:00:57 | 2021-07-08T19:00:57 | 384,220,066 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,004 | py | hapoel_shop_utils.py | import numpy as np
def invitations_split(candidates, number_of_invitations):
"""
Random choice of volunteers who registered to get invitations to specific game
:param candidates: (list) Names of the volunteers who registered to the game
:param number_of_invitations: (int) Number of invitations
:ret... |
5510ae5b75df5f15654ec9b0b476f1882e79440a | 96511185f57ed143d0d06886a47c9233f8ab399f | /cfp/urls.py | 56a3866047d50ecb46bc9b3f5a9b1083899f4d25 | [] | no_license | djangocon/2016.djangocon.eu | 47454b5d4048b43de7598e7bcc6a777cf562713d | a1f1d569894f856cc76a1d8218a91c8c070cbc35 | refs/heads/master | 2021-01-21T04:27:18.697874 | 2016-04-13T06:49:50 | 2016-04-13T06:49:50 | 38,642,794 | 8 | 14 | null | 2016-04-11T13:58:06 | 2015-07-06T20:02:18 | Python | UTF-8 | Python | false | false | 515 | py | urls.py | from django.conf.urls import url
from django.contrib import admin
from cfp.views import LandingView, CreateView, ThankYouView, ProposalDownloadView, ProposeWorkshopView
urlpatterns = [
url(r'^$', LandingView.as_view(), name='landing'),
url(r'^propose/$', CreateView.as_view(), name='propose'),
url(r'^works... |
24779be24abb7cc6e4c164c854ed12ad1d5826d5 | 31f91d63e7589269fec7f42d112b321ba71af325 | /pi7gurmukhi/__init__.py | 863a8022de5cf734ed8c4a1669e30892291083c3 | [
"MIT"
] | permissive | shivjeetbhullar/pi7gurmukhi | 72cd35cba05df201e3058062892c566cfabf17b9 | 5c5b6133a54edb4d5e139b19879f70afa1082e35 | refs/heads/master | 2022-11-24T07:24:15.039339 | 2020-07-27T13:37:31 | 2020-07-27T13:37:31 | 282,400,610 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 157 | py | __init__.py | # -*- coding: utf-8 -*-
from .chars import *
def render_gurmukhi(Gurmukhi_string):
Gurmukhi_string = Fix_chars(Gurmukhi_string)
return Gurmukhi_string
|
c623c273324c1d8f8c47c2c1bd92bddfee12ab03 | d00c1113b4da0a5597794b9c6d51a61c94e66203 | /segmentation/mmseg/datasets/cocostuff.py | b77e756476f7ea86829ae8d0bd972fd4535cdb36 | [
"LicenseRef-scancode-unknown-license-reference",
"Python-2.0"
] | permissive | Chenglin-Yang/LVT | 9491ce721bc6d76282c4f3dc35d68f59f01639f2 | c56189777d31e75fbfdf60514ca755aa23a25aac | refs/heads/main | 2023-05-23T16:49:16.687977 | 2022-03-22T22:43:54 | 2022-03-22T22:43:54 | 465,136,002 | 121 | 9 | NOASSERTION | 2022-10-21T11:43:41 | 2022-03-02T02:58:07 | Python | UTF-8 | Python | false | false | 4,992 | py | cocostuff.py | from .builder import DATASETS
from .custom import CustomDataset
from IPython import embed
@DATASETS.register_module()
class CocoStuff(CustomDataset):
"""Coco Stuff dataset.
"""
nclass = 182
CLASSES = [str(i) for i in range(nclass)]
# random generated color
PALETTE = [
[167, 200, 7],
... |
99b69c2a1c9624e256f967f7490259964f0a9c5c | a5800ebdd31918b47169ae6dde901923633b996d | /prs_lib/validator.py | 747b01b0f84fa902ff98384656a040989bb6a6fa | [
"MIT"
] | permissive | Press-One/prs-lib-py | 50c1839e6cac21eefbe1aec820af3cf85d4af791 | 5f088d58993a93bee660a27579966aa015606c9a | refs/heads/master | 2020-06-02T12:26:28.969861 | 2020-03-19T08:29:22 | 2020-03-19T08:29:22 | 191,153,689 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 610 | py | validator.py | __all__ = ['assert_exc', 'raise_exc']
def assert_exc(value, message):
if not value:
raise Exception(message)
def raise_exc(message):
raise Exception(message)
def check_dict_and_assert(obj_name, obj, fields):
assert_exc(obj, f'{obj_name} cannot be null')
for item in fields:
assert_e... |
42e2005726715a2c6d9b1814868e54e3a078bd0d | 70288fa2b3eab0997669ec71788e2cd6e89cf914 | /024_extract_given_list_of_atoms_from_the_given_chkpt_file/extract_given_list_of_atoms_from_the_given_chkpt_file.py | 7eecc60858e8a949cb676f7f5a8bff965cdf0a31 | [] | no_license | anuraaggad/md_tools | 7874921cf1a68456808010dc318fbd6b185af62f | c85496b3929d60e67193591a5d75a239dfa0e739 | refs/heads/master | 2023-04-02T16:07:32.445575 | 2021-04-04T10:28:15 | 2021-04-04T10:28:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,745 | py | extract_given_list_of_atoms_from_the_given_chkpt_file.py | """
@Author : Sudheer Ganisetti
@Date : Mo 27. Jul 16:36:19 CEST 2020
This code is to extract the given list of atoms from a chkpt
"""
import sys
import ganisetti_tools
import numpy as np
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
if __name__=="__main__":
tot_argv = len... |
c8b866717e733e893676049d21c972cf70f3196c | 8b77c2262e88fe21593cab078c16f36187441099 | /Cruise/models.py | e6efa28ff789ce2a462165eaec5cddf81640037c | [
"MIT"
] | permissive | remiljw/CruiseAPIs | a513aa60f49fb1155ccbbe9185cc8918447162bc | 4d33d70d5cdd8dc8f6e8325cbed0026badd01664 | refs/heads/master | 2021-09-23T01:08:18.661726 | 2021-09-22T21:34:09 | 2021-09-22T21:34:09 | 240,220,810 | 1 | 0 | MIT | 2021-09-22T21:34:09 | 2020-02-13T09:20:25 | Python | UTF-8 | Python | false | false | 1,682 | py | models.py | from django.db import models
from django.db.models import CharField
from django_mysql.models import ListCharField #This is a custom field that requires mysql
# Create your models here.
class Excursion(models.Model):
Active = 'active'
Inactive = 'inactive'
Excursion_status = [
(Active, 'active'),
(Inactiv... |
ea1faba607ef69cafccce1da558f2da664d67d13 | 04d699a9464378cb8aeea146c624d440b07a4e3f | /Bowl_Game_Predictions/2018/utils.py | b12b7d9afa2e8c0a37e00d2ad8f1241e9363cd70 | [] | no_license | meysubb/NCAAF_Projects | 6c25a25522e7f24cf98e8b731f1aaab0b15f70b3 | f94b86c19b756e32f38d58c8427eee7e2f6eb2fb | refs/heads/master | 2021-08-10T21:49:50.275376 | 2021-01-21T04:29:06 | 2021-01-21T04:29:06 | 76,712,196 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 809 | py | utils.py | import numpy as np
def report(results, n_top=3):
for i in range(1, n_top + 1):
candidates = np.flatnonzero(results['rank_test_score'] == i)
for candidate in candidates:
print("Model with rank: {0}".format(i))
print("Mean validation score: {0:.3f} (std: {1:.3f})".format(
... |
f1dd0862058fc22069b630355edfd8366eb32ebd | 9645bdfbb15742e0d94e3327f94471663f32061a | /Python/790 - Domino and Tromino Tiling/790_domino-and-tromino-tiling.py | 1d639c0e2ebec9720eaf05891f28d50c487c09da | [] | no_license | aptend/leetcode-rua | f81c080b2260adb2da677612e5c437eda256781d | 80e44f4e9d3a5b592fdebe0bf16d1df54e99991e | refs/heads/master | 2023-06-22T00:40:05.533424 | 2021-03-17T13:51:28 | 2021-03-17T13:51:28 | 186,434,133 | 2 | 0 | null | 2023-06-21T22:12:51 | 2019-05-13T14:17:27 | HTML | UTF-8 | Python | false | false | 1,020 | py | 790_domino-and-tromino-tiling.py | from leezy import Solution, solution
class Q790(Solution):
@solution
def numTilings(self, N):
# 20ms 70%
if N == 1:
return 1
elif N == 2:
return 2
# dp[0]: of two blocks in the column, only top block is coverd
# dp[1]: only bottom block is coverd... |
0e0fd6ebf1e266e97aede5f1262484a99e00e371 | 62664243e021cf59b0ddbd0aae114222a6892651 | /lib/vConTACT/vConTACT_utils/vConTACTUtils.py | 964b568fb0023ec4c5be1a3676e1cf7bddbfc8ab | [
"MIT"
] | permissive | bolduc/vcontact | 05147317beea44e868292db945159a0534be9593 | fd1bbd12556247d3fbea5c8a7ee3b909e76bfd16 | refs/heads/master | 2022-09-28T20:38:28.881462 | 2022-09-21T20:53:46 | 2022-09-21T20:53:46 | 154,392,403 | 3 | 5 | MIT | 2021-01-07T21:03:50 | 2018-10-23T20:27:34 | Python | UTF-8 | Python | false | false | 17,113 | py | vConTACTUtils.py | import time
import os
import subprocess
import csv
import uuid
from collections import OrderedDict
from Bio import SeqIO
from Bio.Seq import Seq
from Bio.SeqRecord import SeqRecord
from string import Template
from pyparsing import Literal, SkipTo
import pandas as pd
import tarfile
from shutil import copyfile
from pprin... |
b8ca82b89ba5c09fbf14406094d2ea12118fb689 | 8297f6f4010ff4a65c2329c1ca1351d98274d47a | /data_utils.py | 662d15a90e9fd35f8ea275ff499d77e5c573c1c0 | [] | no_license | wangluheng328/MLLU-HW3 | 3e89111c276b448c6263c4068f7e063be642c8a2 | 9dd9314604a3f9a8da398fcbe814aca9a51f178e | refs/heads/main | 2023-03-24T07:45:31.084770 | 2021-03-25T15:48:50 | 2021-03-25T15:48:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,731 | py | data_utils.py | import torch
def encode_data(dataset, tokenizer, max_seq_length=128):
"""Featurizes the dataset into input IDs and attention masks for input into a
transformer-style model.
NOTE: This method should featurize the entire dataset simultaneously,
rather than row-by-row.
Args:
dataset: A Pandas ... |
4abf71fb6930fccd19f8b1408eb89a16250bb230 | 17acb8e20f9a24b16ce3651302fc2d7fc7b887a6 | /test/programytest/utils/newsapi/test_newsapi.py | e822f409365467f26345cb1520fab72c6498dca1 | [
"MIT"
] | permissive | cen-ai/program-y | 91052fdc11aec0f60311e3429895fac489d8ce54 | a753667638147544c54dbebd9f1c8f9ae7f2159e | refs/heads/master | 2020-03-22T15:11:07.896885 | 2018-10-15T22:13:58 | 2018-10-15T22:13:58 | 140,234,173 | 5 | 5 | NOASSERTION | 2019-01-03T09:09:07 | 2018-07-09T05:11:08 | Python | UTF-8 | Python | false | false | 5,569 | py | test_newsapi.py | import unittest
import os
import json
from programy.utils.license.keys import LicenseKeys
from programy.utils.newsapi.newsapi import NewsAPI
from programytest.client import TestClient
class MockResponse(object):
def __init__(self, status_code, headers, data):
self.status_code = status_code
self.h... |
6443715dccc127df344f1803eb2c4db20b18caef | 631cefb6d8f2c191b73f4878adcc7f046dc1e219 | /largest-number.py | 50718070e506bd8f60fb29e9248cdf64aa30a477 | [] | no_license | kilala-mega/practice_everyday | 7fa46a78ab6809608df6e741bf0c8be66e97c103 | 6bd48d5a6ff15a5d8454fa24a611334f0244f862 | refs/heads/main | 2023-07-08T21:31:55.665008 | 2021-08-11T19:29:34 | 2021-08-11T19:29:34 | 349,309,409 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 411 | py | largest-number.py | class Solution:
def largestNumber(self, nums: List[int]) -> str:
sortedNum = sorted([str(num) for num in nums], key=cmp_to_key(lambda x, y: 1 if x + y < y+ x else -1))
ans = "".join(sortedNum)
startPos = 0
while ans[startPos] == '0':
if ans[startPos:] == "0":
... |
84527a32408be0967513fb769142224449cd4761 | 971716a4a3d1e59d96807f8db4d2f92ef5ab0520 | /2-第二个月/06day/1-复习面向对象.py | abb1208160313efb360a481ef0c75557c5767ebe | [] | no_license | limingrui9/1803 | b8d96740e98ab34deb6b969d5472a847642d925e | 761b125d907c5003a6a381414ca9cd05774c10f4 | refs/heads/master | 2020-03-06T14:26:34.876973 | 2018-05-24T02:57:28 | 2018-05-24T02:57:28 | 126,935,995 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,064 | py | 1-复习面向对象.py | 面向对象：
类：类是对象的抽象
特点：类是抽象的类
概念：类是拥有相同属性和行为的实物的总称
对象：是类的具体实例
类和对象的关系：
类是对象的模具
对象：是类的具体实例
魔法方法：
——init——：初始化属性（自动调用）
———str——：有返回值，打印实例对象时会自动调用
——del——：删除实例对象的时候会自动调用
——new——：创建实例对象，并返回此实例的引用
私有：加两个下划线变成私有的
私有属性：不能直接方法，必须用get和set使用
私有方法：不能直接调用，可以使用共有方法
继承：
继承好处：复用代码
继承分多继承和单继承
多继承：当两个父类有相同的方法时，子类调用此方法的顺序是根据继承顺序来的 x... |
3888f0117a572037f6594f0d5dc154fb746c60f1 | bdf6c8992ad17958a40d30f08507dafb6df05935 | /python/cugraph/cugraph/dask/community/louvain.py | 6cbae07621f99b7d876bb0a4dabf02c9a715bffb | [
"Apache-2.0"
] | permissive | BradReesWork/cugraph | 137c7dc014abdb40382fa5a7660fd19d2e13697e | 76800bc768c5757869314ec1928b01ec49f32ee1 | refs/heads/branch-22.06 | 2023-08-31T04:32:02.615221 | 2022-07-12T16:27:32 | 2022-07-12T16:27:32 | 169,301,790 | 0 | 0 | Apache-2.0 | 2019-04-08T13:48:04 | 2019-02-05T19:46:16 | Cuda | UTF-8 | Python | false | false | 6,751 | py | louvain.py | # Copyright (c) 2019-2022, NVIDIA CORPORATION.
# 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 applicable law or agreed... |
aa411c017fa5866ca029f9e98a6b01e8aebb981e | e0aa0f292102455b8c0d0f1164abe3c5aa53e696 | /project_name/apps/cruncher/admin_utils.py | 28fcda5b44c78b63099be1277f0a59848d60e3e9 | [] | no_license | cruncher/project-template | 870d37a24fd5325050e28e6f89cfc8f182f016e2 | 565833b20e88662c3495bc3a3f5ab33733afc277 | refs/heads/master | 2023-08-22T03:06:02.921075 | 2023-08-10T14:06:03 | 2023-08-10T14:06:03 | 5,677,268 | 2 | 1 | null | 2021-05-21T09:42:45 | 2012-09-04T19:15:25 | Python | UTF-8 | Python | false | false | 3,895 | py | admin_utils.py | from django.contrib import admin
from django.contrib.admin.sites import site
from django.contrib.admin.widgets import ForeignKeyRawIdWidget, ManyToManyRawIdWidget
from django.urls import NoReverseMatch, reverse
from django.utils.safestring import mark_safe
class VerboseForeignKeyRawIdWidget(ForeignKeyRawIdWidget):
... |
049dce4eb88aa9b686d33fd4b8a652f5e7f34b1f | 976bd799fd461c3f0fd3658db28aa7051cd4ea84 | /GenApp/Privilegios/admin.py | 5043a12d3304a87d523751b5ade7c9baf9946e8e | [] | no_license | rjbenitezq/ServBack | 08f287031b2234a741d435518cec13c60a30d242 | 3cb0dda6a424d05f9f35fe21dff292e1f0a712cf | refs/heads/master | 2020-03-23T19:40:46.814217 | 2018-07-23T09:58:57 | 2018-07-23T09:58:57 | 141,993,767 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 294 | py | admin.py | from django.contrib import admin
# Register your models here.
from GenApp.Privilegios.models import RolUser, Privilegios, Roles, Modulos, ModUser
admin.site.register(Modulos)
admin.site.register(ModUser)
admin.site.register(Roles)
admin.site.register(RolUser)
admin.site.register(Privilegios) |
09dad133a7ff60f58c588c2fa580a9a41c9b5101 | 13329defcae2e8751084ae080cb3fa3046993cc4 | /postagger_viterbi.py | 8fe3ee51a54cd53498ff2b15f5cfedeaf4494f17 | [] | no_license | sandeep-neupane/pos-tagger | 19602cb5155fc04ba92a9f1c052864719cb53e4c | c5a624fa03b4ab6b06e68109c5ead011f1081da6 | refs/heads/master | 2020-04-23T12:24:20.861024 | 2019-02-17T20:17:32 | 2019-02-17T20:17:32 | 171,166,775 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,248 | py | postagger_viterbi.py | #!/usr/bin/env python
#Author: Sandeep Neupane
from optparse import OptionParser
import utils
import collections
import logging,sys
def calculateWordTagCOunt(sentences):
wordTagCount = collections.defaultdict(lambda: collections.defaultdict(int))
tagTagCount = collections.defaultdict(lambda: collections.defaultd... |
eda9f8d2a97560d7a49855d902813be8af1e2f1e | c54722779374bf15b0e1bfef9cbc5b98001bbea8 | /Reinforcement/R-1.11_listComprehension.py | b6f70a0c783284e8d98be7b7af397eb7808413c3 | [] | no_license | fahrulardiannugroho/struktur-data-tugas-1 | f210e035045d3a685fb2e1972f2ec7bf9e017d1a | 500345debcd6ea4cd67d0010be83424edc06bd29 | refs/heads/master | 2023-05-03T12:22:02.062493 | 2021-05-31T12:44:27 | 2021-05-31T12:44:27 | 372,419,952 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 47 | py | R-1.11_listComprehension.py | list = [2**n for n in range(0, 9)]
print(list)
|
4b25dc38e9ca9f08de2c9939c4eeccebf42a5028 | a2e638cd0c124254e67963bda62c21351881ee75 | /Python modules/TMS_TradeWrapper_Common.py | 1580c5e1cfd0eb48ec2a04c875f562017c7c0637 | [] | no_license | webclinic017/fa-absa-py3 | 1ffa98f2bd72d541166fdaac421d3c84147a4e01 | 5e7cc7de3495145501ca53deb9efee2233ab7e1c | refs/heads/main | 2023-04-19T10:41:21.273030 | 2021-05-10T08:50:05 | 2021-05-10T08:50:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 15,633 | py | TMS_TradeWrapper_Common.py | ''' =======================================================================
TMS TradeWrapper Common
The commonality between asset classes (FX and FI) are drawn up here.
This is done for Trades, Instruments, Legs, Cashflows and Payments.
Eben Mare
===================================================... |
3efccdbda2ee827fec9be6cabf0fd61ec0bf838c | 7b3612a11ceeaa2c5690e77a4ad5343d36b12dd9 | /external/misc/array_batch_loader_example.py | cfc238d44247379a061a8bf6161daa599dc93f27 | [] | no_license | d3v3l0/pedl-examples | f32cc9988aaa408630101812eb7bb1c8cb141a0f | ad418708417133c08ce4ed6c113efca1fd0240b1 | refs/heads/master | 2022-04-15T11:46:32.578931 | 2020-03-11T03:57:29 | 2020-03-11T03:57:29 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,216 | py | array_batch_loader_example.py | """
Example using ArrayBatchLoader for CIFAR-10.
Download and unpack the CIFAR-10 data set by running these shell commands:
wget https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz
tar xzf cifar-10-python.tar.gz
Description from https://www.cs.toronto.edu/~kriz/cifar.html:
The CIFAR-10 and CIFAR-100 are labeled... |
6f5bceb9f3cc4dad191c919a5f22d30f0ace7faf | 008b240ad781cdd559f80e579f941a2572e565ca | /basic_pptx.py | bbe8596274ce3c85201c251f5b6ddc9358572d7d | [
"MIT"
] | permissive | agartland/utils | 3aac712b0ff8c9abce0a2a965652290f4c77c35c | 81ba318d7f38597b57ebe8a7dad3d5f797836f07 | refs/heads/master | 2023-01-24T16:56:19.806050 | 2023-01-20T18:48:12 | 2023-01-20T18:48:12 | 19,157,998 | 6 | 6 | MIT | 2021-05-06T23:53:16 | 2014-04-25T19:29:48 | Python | UTF-8 | Python | false | false | 4,070 | py | basic_pptx.py | from pptx import Presentation
from pptx.util import Inches
import io
from os.path import join as opj
import os
__all__ = ['BasicPresentation']
""" (text, fig, table) """
layouts = {(True, True, True):0,
(True, True, False):1,
(True, False, True):2,
(True, False, False):3,
(... |
34cc11b88e709c36e10a3e8b6245d4f600dd7488 | 4091caecbc727e6d6ae0d827afce11c5979a84fd | /tools/accuracy_checker/openvino/tools/accuracy_checker/adapters/nlp.py | 439a80766cd521a100d2de2086f52ab2b3eb3023 | [
"Apache-2.0"
] | permissive | openvinotoolkit/open_model_zoo | fdb03dd40bfccb854e4ed4f7b9beaa90596963cd | 7929adbe91e9cfe8dc5dc1daad5ae7392f9719a0 | refs/heads/master | 2023-08-18T18:03:47.254427 | 2023-08-18T10:54:31 | 2023-08-18T10:54:31 | 153,097,694 | 1,712 | 730 | Apache-2.0 | 2023-09-11T11:31:20 | 2018-10-15T10:55:02 | Python | UTF-8 | Python | false | false | 16,323 | py | nlp.py | """
Copyright (c) 2018-2023 Intel Corporation
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 applicable law or agreed to in wri... |
3b04dd7f6b5e30231a87910ad5f2370fb72e3d2d | 0ade4397938603cbb8096ec374b00c9790860936 | /chapter2/code/subprocess/PingScanNetWork.py | 7ad8587f6b0dee0fab2978c5b885c60af77e3a69 | [
"MIT"
] | permissive | abbbhucho/Mastering-Python-for-Networking-and-Security | bb46260085ffdc083fbb50e81ddf908bc0315fab | f4fb1131253e9daad8da501c297758fdcedfbac3 | refs/heads/master | 2020-04-10T20:56:53.190895 | 2019-03-11T14:38:15 | 2019-03-11T14:38:15 | 161,283,244 | 0 | 0 | MIT | 2018-12-11T05:45:17 | 2018-12-11T05:45:17 | null | UTF-8 | Python | false | false | 1,025 | py | PingScanNetWork.py | #!/usr/bin/env python
from subprocess import Popen, PIPE
import sys
import argparse
parser = argparse.ArgumentParser(description='Ping Scan Network')
# Main arguments
parser.add_argument("-network", dest="network", help="NetWork segment[For example 192.168.56]", required=True)
parser.add_argument("-machines", des... |
f9ed334a17dc2399b6f1dcf6509ab537ffdd042f | 6838d66f8dec23db63923f375438af2dd9fb22fe | /lineup.py | 7223deaca14f04730265859b46fef270db4620bc | [] | no_license | xCiaraG/Kattis | 795ef7c463c60f362068f0d0e7c8ec8da4a69d19 | ec08aa588f61d78937fb3c63bdb803e999fc9c36 | refs/heads/master | 2021-01-22T21:27:54.736451 | 2020-10-25T17:44:09 | 2020-10-25T17:44:09 | 85,432,383 | 9 | 9 | null | 2020-10-25T17:44:10 | 2017-03-18T21:13:13 | Python | UTF-8 | Python | false | false | 355 | py | lineup.py | import sys
n = int(sys.stdin.readline().strip())
names = []
for i in range(0, n):
name = sys.stdin.readline().strip()
names.append(name)
new_names = names[:]
new_names.sort()
new_names2 = new_names[:]
new_names2.reverse()
if new_names == names:
print("INCREASING")
elif new_names2 == names:
print("DECRE... |
1eb806f2c0a1b4a56fadaad1577845542bed5433 | f41d13e2873949aaec5d427af422b2622107a433 | /lab06-zoo-classifier_tf_reader.py | 9709b5eaa5f273bd5d0bd9e9df84dc692777f524 | [] | no_license | lvxf100617/DLorML | c49c4415eee8ed46b44b8d4c02a5434e4de80768 | 17ce5bdc58232c575c6f5ff1ce2bc30cb20c6912 | refs/heads/master | 2021-01-18T22:16:44.212980 | 2017-06-08T07:11:33 | 2017-06-08T07:11:33 | 87,041,408 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,217 | py | lab06-zoo-classifier_tf_reader.py | import tensorflow as tf
tf.set_random_seed(777)
filename_queue=tf.train.string_input_producer(
['data-04-zoo.csv'], shuffle=False, name='filename_queue')
reader = tf.TextLineReader()
key, value = reader.read(filename_queue)
record_defaults=[[0.],[0.],[0.],[0.],[0.],[0.],[0.],[0.],[0.],
[0.],[0.],[0.],[0.],[0.],[... |
cafbf886297f061807adb3bd588c06838999c63d | fcf71d8ed3a0d05750a0caba93f2f9cdb9ec0adc | /3.python/2010_위도경도데이타수집/get_addr_from_xy.py | d00ff35c984606495fc55bd92faa8ec1cf91fde1 | [] | no_license | handol/python_study | a6e6faeae2213a66b303524b57550c879c83c190 | 4d4cf3847c29ef363c1b8fd10bf2525d6f801ddd | refs/heads/master | 2021-01-10T21:20:31.140133 | 2013-03-28T06:30:16 | 2013-03-28T06:30:16 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,341 | py | get_addr_from_xy.py | from xml.dom import minidom
import urllib.request
import time
def getaddr(x, y):
#x=37.4
#y=127.2
url = 'http://kr.open.gugi.yahoo.com/service/rgc.php?appid=YahooDemo&latitude=37.4997677193116&longitude=127.3094189453125&output=xml'
url = 'http://kr.open.gugi.yahoo.com/service/rgc.php?appid=Yahoo... |
348072021717e01f48b5f786625d6e4b86f07ae4 | 1474b33234a35de1b3134a5f122fe51efa698cdf | /beziers/point.py | 61752f0bb4fc4983012de3db87890b7a42229551 | [
"MIT"
] | permissive | simoncozens/beziers.py | 7a568583acf0158ca6e351abd908255a26d355f2 | 9e8e6b21188d96a6746d25d78c83bb81290a057c | refs/heads/master | 2023-03-09T06:09:53.209225 | 2022-09-16T11:05:25 | 2022-09-16T11:05:25 | 152,085,018 | 54 | 14 | MIT | 2021-02-05T21:23:19 | 2018-10-08T13:30:08 | Python | UTF-8 | Python | false | false | 4,688 | py | point.py | import math
class Point(object):
"""A representation of a point within the Beziers world.
Here are some things you can do with points. You can interpret
them as vectors, and add them together::
>>> a = Point(5,5)
>>> b = Point(10,10)
>>> a + b
<15.0,15.0>
You can multiply them by a scalar to... |
cee6dae3b233b93ad4066552905eef0380df90ac | 294b376ea4c4b76f811d1604f3822f4db74e2399 | /ch06/my_optimizer_compare_native.py | e9eb453d3923360b0d746e3e3b57106c45b87520 | [] | no_license | lockmachine/DeepLearningFromScratch | 8f429bea5d34c4b40f0eaad4df998a4062718f53 | 73e6ad40d3bd6e7e810fbeaca0d1759c83e99a12 | refs/heads/master | 2020-04-02T02:32:41.035510 | 2019-02-25T21:09:25 | 2019-02-25T21:09:25 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,477 | py | my_optimizer_compare_native.py | #!/usr/bin/env python3
# coding: utf-8
import sys, os
sys.path.append(os.pardir)
import numpy as np
import matplotlib.pyplot as plt
from collections import OrderedDict
from common.optimizer import *
from mpl_toolkits.mplot3d import Axes3D
def f(x, y):
return x**2/20.0 + y**2
def df(x, y):
return x/10.0, 2... |
94e0a5023eebc997c2ba4ba350707ec08502e71c | 9a746f93f89c9a806e0968401e915acc1f5b5ace | /server.py | bda67e0942f1f4dc7f91b745f913c50dc710c724 | [] | no_license | sfdjj/analyis_platform | abac379d0969ddf98cdedfbc0a2c89ee3c473730 | 972bd8a2989f0c8f46c1fc2b90589283982ca6ca | refs/heads/master | 2020-04-05T11:38:45.383555 | 2018-11-09T11:05:32 | 2018-11-09T11:05:32 | 156,842,744 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 316 | py | server.py | from tornado.httpclient import AsyncHTTPClient
from tornado.simple_httpclient import SimpleAsyncHTTPClient
def main():
# AsyncHTTPClient.configure(SimpleAsyncHTTPClient, max_clients=10000, defaults=dict(request_timeout=400))
from server_raw import start
start()
if __name__ == '__main__':
main()
|
6a5b5970832ef429d1597f52719aa9b4bc58118f | aceb25bdef928c84a12b68b3722fa5305c031e87 | /TS3GatherBot.py | fd4d42089a857b1e4d4ff64a64ab20820a5d2a62 | [
"MIT"
] | permissive | ikinz/TS3GatherBot | 562822be9fcb16bd21eccadfb33e267eb89af442 | bd5f89bf73ef541c3527eeb406a876ae10126522 | refs/heads/master | 2016-09-06T00:54:27.418585 | 2015-07-19T05:30:02 | 2015-07-19T05:30:02 | 38,894,357 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 13,339 | py | TS3GatherBot.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created by Pierre Schönbeck
This bot will make it easier to set up gathers, all
from your teamspeak 3 server.
The bot requires access to the Teamspeak 3 server
query!
"""
__author__ = 'Pierre Schönbeck'
__copyright__ = 'Copyright 2015, TS... |
38639b88620e80d983cd2d1493e89dae253b08fb | 626685c1d87be86d07be656a2fedd73c13e6ac91 | /imprime_retangulo_vazado.py | eeb59a8a511894a7ef9ce76c43a57b5b39f9e311 | [] | no_license | Guifgr/CourseraUsp | dbdf157514f19874cf4afbd0a25cb6efb41ff843 | f52dec2a866516043b67e990c593c5f9d7773b3f | refs/heads/master | 2020-07-11T12:22:10.111857 | 2019-10-02T19:32:03 | 2019-10-02T19:32:03 | 204,537,661 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 173 | py | imprime_retangulo_vazado.py | w = int(input())
h = int(input())
for i in range(h):
if not i or i == h-1:
print('#'*w, end ='')
print()
else:
print('#' + ' '*(w-2) + '#') |
7a01bffa5d7f0d5ecff57c97478f2cf5e9a27538 | b273ffc2da533e565057af0465f416cb70b9151e | /multimodal/fashionbert/fashionbert_evaluator_main.py | 9e20abd344d075eec0595d8aef61c90c414d3cdf | [] | no_license | manuelladron/ADARI_disentangling_design_intents | 9a6049ce635321408e530bb29186b8fd151b49cc | 670baaa6d71de4cfa38c44267aa22f0cd49e8bdb | refs/heads/main | 2023-01-31T09:07:08.364329 | 2020-12-15T19:01:53 | 2020-12-15T19:01:53 | 301,604,423 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 19,002 | py | fashionbert_evaluator_main.py | import torch, torchvision
import torch.nn.functional as F
import transformers
from transformers import BertTokenizer, BertModel
from transformers.models.bert.modeling_bert import BertPreTrainingHeads
from utils import construct_bert_input, EvaluationDataset, save_json
from fashionbert_evaluator_parser import Evaluation... |
7c60ae58b26ae63ba7c78a28b72192373cc05a86 | 044f32a3f923aa83b69025d0fe6b9e99fa0e1b84 | /cowin-slot.py | 20120b56c177c4f819c88673859cacab0fbe51ad | [] | no_license | biju-borah/Cowin-Slot | 68800d2043fe71feb64000efcdf2cd7003da74c0 | 57c2bac13528e76f7dcc497bad76107434f1747a | refs/heads/main | 2023-06-28T05:06:44.170314 | 2021-07-31T14:51:31 | 2021-07-31T14:51:31 | 391,383,687 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,493 | py | cowin-slot.py | import smtplib
import requests
import datetime
import json
import time
from datetime import date
from urllib.request import Request,urlopen
today = date.today().strftime("%d-%m-%y")
count = 0
pincodes = ["784164","781017","784161","787001"]
date = 0
temp = str(14) + "-05-21"
while True:
for... |
45a57fac564f23253f9d9cd5d0fd820e559c15b9 | ebf423cc32e0fe3a6056019699d517acbdf4d33f | /Scheduler/auditlogging/agents/APIAuditAgent.py | d27f6de4ab2c64fe44cbef2f2197f4d5833bb4ca | [] | no_license | adityapant1286/Scheduler | 55e6f77797a00443ff424efbd6d19ca8dd16dda5 | 1a1062570b75a7400e3fcc73687bd4982be80bb5 | refs/heads/master | 2023-03-24T04:00:10.926188 | 2021-03-02T21:46:21 | 2021-03-02T21:46:21 | 199,848,384 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,491 | py | APIAuditAgent.py | import requests
from requests import Response
from auditlogging.Trail import Trail
from utils.Utils import is_empty
from auditlogging.agents.AuditAgent import AuditAgent
class APIAuditAgent(AuditAgent):
"""
Captures the audit trail using a REST endpoint URL (POST)
Add this agent to Auditor in order to cap... |
1e84b28580b97e77394be0490f3d8db3d62a2ccb | 26c7eb1b92e86114c357ac005ed487a51549c493 | /rt/helper.py | 1909ebbe61e4e33d4526653712a8eebcf9cd2d72 | [] | no_license | matthewgoulet/moviemediaportal | 6a1e78a05afbd6fc511c58fa929e7c748d4a5112 | f4899c96f015f636bbbecc251d7f9845f413ea12 | refs/heads/master | 2021-01-18T18:35:19.499969 | 2013-03-29T19:11:40 | 2013-03-29T19:11:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,212 | py | helper.py | from django.contrib.auth.models import User
from rt.models import Movie_Suggestion, MovieDB, ActorDB, TVDB
def user_present(username):
if User.objects.filter(username=username).count():
return True
return False
#Takes in a list of MovieDB/TVDB objects
#Outputs a list of sorted titles
def sort_title(movies):
ti... |
f2e2ebd5b848cf3a01b7304e5e194beb3eec1c10 | 39e8178b8e1619eca1f5d6978cf520d66d12a06c | /__init__.py | 575704d80ebb225b8630469f97e9bfede3a41c52 | [] | no_license | SimonAnnetts/TileMapScaleLevels | dc13ea60e7bde7db8dba35c6710d46f5f2c8792c | 0a39c5674744c937cc9d9b1ae034a76dd85f52fa | refs/heads/master | 2020-04-27T09:26:53.307476 | 2018-06-22T11:40:40 | 2018-06-22T11:40:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,427 | py | __init__.py | # -*- coding: utf-8 -*-
"""
/***************************************************************************
TileMapScalePlugin
A QGIS plugin
Let you add tiled datasets (GDAL WMS) and shows them in the correct scale.
-------------------
begin ... |
0deec9058c6f7b77ba4fa3bfc0269c8596ce9612 | 6a03390da6c55378ac83ab8cdc4ab91ce3db1aab | /170.py | 292101889f75d7d7f6bc15d0dc4453cae3832f15 | [] | no_license | Ear19rey/python-begginer | c7ab10089ac53dd1aa3f297b4bec52234faf16fd | e88eb390e744a1fb4890d4ddd31b8151b623b320 | refs/heads/master | 2023-07-03T01:03:28.386829 | 2021-08-06T18:29:34 | 2021-08-06T18:29:34 | 390,299,213 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 98 | py | 170.py | '''
quarter = 0.25
dime = 0.10
nickel = 0.05
penny = 0.01
'''
#def poschg(dollar_amount,number):
|
eb9135c6bcf89a62534cfc8480e5d44a089fe5a8 | 48e609dbd6602f15b7bc1b439d566bf9878c103f | /featureExtractors.py | e5fbaa26e1e4587d29170892355b61e26dea6cf0 | [] | no_license | timothydereuse/musical-pattern-clustering | 050c3b32323b11cfb2818f096c1651a6b384513a | 202849fd558ce8361cc2982d5e686e4821211532 | refs/heads/master | 2020-03-14T23:55:39.730880 | 2019-11-02T10:19:27 | 2019-11-02T10:19:27 | 131,855,831 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 16,475 | py | featureExtractors.py | # -*- coding: utf-8 -*-
"""
Created on Wed Feb 7 17:42:18 2018
@author: Tim
"""
import music21 as m21
import music21.features.jSymbolic as jsym
import scipy.stats
from collections import Counter
import numpy as np
import matplotlib.pyplot as plt
from timeit import default_timer as timer
# round all duration values t... |
918653cdeea8d91921f8b96779fcd3ebce491948 | 1c7ab90d8e63f2bc8ae70e602c0e5afb1b44ee65 | /1/problem1.py | c8f6b602c3e0a14b474f803a34886cba161e7a35 | [] | no_license | diogobaeder/project-euler | fbdc751a33fc0e1c35903020f3f9e4f4b9b99bbc | 4d0ccac690d595e2a593f89558dcc6fa24cddb99 | refs/heads/master | 2020-06-08T12:16:43.156018 | 2012-01-07T14:03:54 | 2012-01-07T14:03:54 | 2,502,051 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 434 | py | problem1.py | #!/usr/bin/env python
class Problem1(object):
def sum_below(self, threshold):
current_number = 1
total = 0
while current_number < threshold:
if (current_number % 3 == 0) or (current_number % 5 == 0):
total += current_number
current_number += 1
... |
2acfd0bbad68bb9d55aeb39b180f4326a225f6d5 | 9daaf110bdfb415e4d8b85f5777b78bb400b7407 | /Lab1.py | ac0f422eff0ee6285c733f698203636b331244bd | [] | no_license | devinpowers/CSE231 | aaa0e772f83459271916b99eb9de4d43d785f3f8 | 913f094fc719d8b0ffd111c1b72fe470c2261841 | refs/heads/master | 2020-07-15T00:09:26.685440 | 2020-02-21T00:21:56 | 2020-02-21T00:21:56 | 205,433,671 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 652 | py | Lab1.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Aug 31 14:35:49 2019
@author: devinpowers
"""
# Lab 1 in CSE 231
#Quadratic Formula
# Find the roots in the Quadratic Formula
import math
a = float(input("Enter the coeddicient a: "))
b = float(input("Enter the coeddicient b: "))
c = float(input(... |
0276181055f2c70562c1f557a16d00ba7107d003 | 94f5bae62a2ed5bf5bd69995d9604c191b6333a0 | /test.py | cf15dc2630f586fcf88d3000384592bb31f61737 | [] | no_license | sethc23/BD_Scripts | 5eef664af935fb38ad28581faaedb51075338553 | 989d62b77ca70d239ae3cf99149c5215f6e6119e | refs/heads/master | 2020-04-12T17:36:17.600971 | 2017-02-22T09:46:27 | 2017-02-22T09:46:27 | 30,630,547 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 648 | py | test.py |
import pyximport
pyximport.install(build_in_temp=False,inplace=True)
import Cython.Compiler.Options
Cython.Compiler.Options.annotate = True
import numpy as np
from test1 import c_test,c_test_result_workaround
a = np.ascontiguousarray(np.array([ [1,2,3],[1,2,3],[1,2,3] ], dtype=np.long), dtype=np.long)
print '\nStar... |
d5b07aa9b36036c2b6d91e32ecedf2e78b76e1db | 8fa8701de63b33e327b915cb01c73ca533de58f3 | /teams.py | 4c54f4b775a7185341f902f8f8be6674c4d0a12a | [] | no_license | d3fin3d/mercycogs | fa51a07216cedee39e55446570fb850f07069f31 | e2f1e9edf698d86000016d8dcf680ad49cf958ca | refs/heads/master | 2021-01-15T15:31:05.366774 | 2016-08-31T22:39:20 | 2016-08-31T22:39:20 | 64,248,940 | 0 | 1 | null | 2016-08-31T22:39:21 | 2016-07-26T19:35:19 | Python | UTF-8 | Python | false | false | 636 | py | teams.py | import random
import discord
from discord.ext import commands
class teams:
"""Randomly generates two teams from a voice channel."""
def __init__(self, bot):
self.bot = bot
@commands.command(pass_context=True)
async def teamgen(self, ctx):
#just a random comment yo
"""This generates the teams"""
players =... |
2160ccefbe7c2c36e83ee9a6cce21bc31aae3746 | 3024f66dae49d6d5a701173cf849d5382f98e4dc | /acs api.py | 7591305cc80b62df7c22faeda8ac57273157bb24 | [] | no_license | RobertSchuldt/American-Communities-Survey | 9adf08093a58b053fc33a05030a02cb1dbef2310 | 2ba10c22821866376f744d0956925f403bcaaca6 | refs/heads/master | 2021-07-14T02:30:31.104184 | 2020-07-08T23:37:44 | 2020-07-08T23:37:44 | 180,864,847 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,237 | py | acs api.py | # -*- coding: utf-8 -*-
"""
Created on Thu Apr 11 17:45:54 2019
@author: Robert Schuldt
@email: rschuldt@uams.edu
"""
import datetime
import requests
import pandas as pd
import json
import os
ts = datetime.datetime.now().isoformat()
#Creating a list of the actual variable names that we are i... |
5cb767e65ef2828430d910eb189f4be64c64631e | d37dd4bd063e2223c4327752bb73dc91a2051752 | /book2.py | 09b149ec47f35551558456336c6d177b208e70f3 | [] | no_license | embercult/lib-management | 2a14e9e6500e48a26dc440d282bd5b536ad35e35 | 3d1b9d6cb026c60779bea06db1119db7d3e68442 | refs/heads/master | 2020-03-26T04:45:47.007809 | 2018-08-13T02:52:06 | 2018-08-13T02:52:06 | 144,521,574 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,560 | py | book2.py | ##Imports
import re
##Vars
Books = dict()
Details = ['Serial no','Catagory','Shelf','Author name','Publisher name','Publishing year','Copies','Lent','Lent to','Lent on','Lent till']
DetailsDic = {'serial no' : 0,'catagory' : 1,'shelf' : 2,'author name': 3 ,'publisher name': 4 ,'publishing year': 5 ,'copies': 6 ,'lent... |
78d3292432a20b097ff3a540bcb1ef8eaf1d2566 | 2dee840780a47f00c49cbc5b9ce28d1d666984d6 | /13b.py | 2f30201068a528d134a1e5271b2711449e31e0ad | [] | no_license | jaw9c/adventocode2020 | 611c59789c465f398a3cb2e1f994d61217183cc6 | b25dbfcc64ef7dcba0f5cc17963ef7a64b6c3010 | refs/heads/master | 2023-02-04T20:41:17.344783 | 2020-12-23T13:18:26 | 2020-12-23T13:18:26 | 318,022,035 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 433 | py | 13b.py | #!/usr/bin/python3
import sys
import itertools
import string
import math
import functools
input = sys.argv[1]
def clean(line):
return int(line) if line != "x" else None
buses = list(map(clean, input.split("\n")[1].split(",")))
curr = 0
jump = 1
for idx, bus in enumerate(buses):
if bus is None:
cont... |
adc82f76819b57ee89c3825322f8889a708a4b8d | d769c2f971b7c03bd1365c1c9fbb1fc780d59dfb | /bin/move_files.py | bbe22ebc20ad46a90aa911ca3276437c16ad7d7f | [] | no_license | thomas-robinson/gcpre | 22bf793ec64e18fb2d258d738803f5e870df1c95 | 0a01232420321c75a4ff6404495ec65ed5b8e9af | refs/heads/master | 2020-06-21T11:13:58.763787 | 2019-07-17T17:22:44 | 2019-07-17T17:22:44 | 197,432,778 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,219 | py | move_files.py | #!/bin/python
import os
import sys
import re
import argparse
hours = re.compile('\s*hours\s*=\s*\d*.*')
days = re.compile('\s*days\s*=\s*\d*.*')
months = re.compile('\s*months\s*=\s*\d*.*')
nh = 0
nd = 0
nm = 0
parser = argparse.ArgumentParser(description='Combines restart files and moves them to the archive folder... |
eda2bc8cde1f1bf456ea56858cb272c137bb55d0 | f7497238d351ba2c08b5877d4e4b272ed9abaf8a | /DeepLearning_Lesson2_SourceCode/DeepLearning_Lesson2_SourceCode/TensorBoardTest.py | 205efcec450f86a5597e2465973f5dd848ad52f7 | [] | no_license | abiraja2004/APL_PythonDeepLearning | f10c5d4ded07841b29feb78e7c261bff58b5ae7a | ee65705e71c2afdab4c071de0a690a6002df30e5 | refs/heads/master | 2020-03-08T09:41:22.233033 | 2018-04-02T06:06:12 | 2018-04-02T06:06:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 565 | py | TensorBoardTest.py | import numpy as np
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
import tensorflow as tf
import pandas as pd
import xlrd
DATA_FILE = 'data/USA_Housing.xls'
# Step 1: read in data from the .xls file
book = xlrd.open_workbook(DATA_FILE, encoding_override="utf-8")
sheet = book.sheet_b... |
9c29552357ec4bc18697982dbde48c4b4667f5e3 | 6b6d7aebc65e963c1747e092ed120c844902352f | /PythonTool/highcharts/iplist.py | 1c1007b9f7c6b1a42c74780e8c2cc81000ac33fc | [] | no_license | QiaoHaiZhong/Flask | 601f8625c53978ee45f48d4253047c6e7ce76a6c | 9122655b5c916b5b9e9a814c5febc286f381ecfc | refs/heads/master | 2020-05-18T08:29:22.468972 | 2016-01-25T06:11:31 | 2016-01-25T06:11:31 | 9,513,588 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,341 | py | iplist.py | #coding=utf-8
import urllib,json,time
f=open('static/ip.list')
iplist=f.readlines()
areadic={}
for i in range(0,len(iplist)):
ip=iplist[i].strip('\n')
url='http://ip.taobao.com/service/getIpInfo.php?ip='+ ip
response=urllib.urlopen(url).read()
jsondata=json.loads(response)
print jsondat... |
fbd1ab89ca024b5ab6a121e8db257569b0e2aad6 | b30d43c4533e64fcb2786b6b1e4a5edca4a8614b | /baxter_gbi_core/src/gbi_states/ExpiringState.py | 28440e9d4f18ba12b0506c5332eb14437765e189 | [] | no_license | federicotomat/gesture_based_interface | 4d8e425b6f2b7380ae35d4ac96afb6f47d3fca2b | 1fbf1eadd400628249c0e4deb26f3bb749cb99ec | refs/heads/master | 2020-08-06T01:31:02.639648 | 2019-05-07T09:31:34 | 2019-05-07T09:31:34 | 212,783,338 | 2 | 0 | null | 2019-10-04T09:49:51 | 2019-10-04T09:49:48 | null | UTF-8 | Python | false | false | 1,896 | py | ExpiringState.py | # -*- coding: latin-1 -*-
## @package ExpiringState
# The package defines the structure of the expiring state
from threading import Timer
from BlockingState import BlockingState
## ExpiringState
# inherited from BlockingState
class ExpiringState(BlockingState):
## constructor
# @param outcomes possible outcom... |
a8b57431e4a593d6dfd4fed06b09f80098e63e09 | 5eca7f0fb7905917b6606e9a005ad6815a59bbae | /isPrime.py | eb2cb72ab9459030a1cb372b746ec283f6ca351c | [] | no_license | liyuank/prime-number | 87e177a432cadc77f6e99d8fec818c92be4fc5d2 | 744b55a920a01e71286a40abaed6500466f93e9b | refs/heads/master | 2021-01-24T10:20:08.047978 | 2017-11-18T07:43:28 | 2017-11-18T07:43:28 | 70,021,310 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 521 | py | isPrime.py | def is_prime(n):
if n % 2 == 0: return (n == 2)
if n < 2: return False
#if n < 9: return True
if n % 3 == 0: return ( n == 3)
r = int(n**0.5)
f = 5
while f <= r:
print ('\t',f)
if n%f == 0: return False
if n%(f+2) == 0: return False
f +=6
return True
"""test test """
print(is_p... |
abbac109c49a03cef7634734d5affbf1d59f2cf3 | 18c61d06fb82c172c94e85579d1964ba1f4b5a35 | /ex008.py | 54200af2baba843b107b0cb3e75ee8a558ffd951 | [
"MIT"
] | permissive | isabellahenriques/Python_Estudos | 6e66a086508b5373d6825f3fe3c843a569911e7e | a6e8b829d01a7c9fa34223e096f6389c81f2085c | refs/heads/master | 2022-12-09T18:39:35.459741 | 2020-09-08T23:36:32 | 2020-09-08T23:36:32 | 286,815,211 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 488 | py | ex008.py | # Escreva um programa que leia um valor em metros e o exiba convertido em centímetros e milímetros.
medida = float(input("Digite uma distância em metros: "))
km = medida / 1000
hm = medida /100
dam = medida /10
m = medida
dm = medida * 10
cm = medida * 100
mm = medida * 1000
#print("A medida de {}m corresponte a {}cm ... |
02846eb51c401254f84c1db063e1b760737443b7 | 29943afd1c8a05ce01477ab6d74dbdd181832a7d | /src/legacy/resources/PCA.py | e9c5315a1782ed6d0238bcbaa0e3b38f015c4c20 | [
"MIT"
] | permissive | NMBU-Data-Science/multi-hoggorm | 08a8daf91f5a86184918496fd0730464d2b2dffe | a1de0044073c84845031b79a6a183748a0178ce8 | refs/heads/main | 2023-03-27T19:22:28.471100 | 2021-03-25T13:38:13 | 2021-03-25T13:38:13 | 343,902,604 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 5,048 | py | PCA.py | # -*- coding: utf-8 -*-
"""
@author: kristl
"""
"""
# EXAMPLES for PCA
import pandas as pd
import matplotlib.pyplot as plt
from PCA import pca_, nanpca_
X = np.array([[1, 2, 3, 4],[2, 1, 3, 3], [3, 5, 5, 1]], dtype='float64')
scores, loadings = pca_(X)
NIR = pd.read_csv('./data/gasoline_NIR.txt', header=None, sep='... |
0eafeeeb2db4e54f2db0fc1082e31af3465d3ce3 | 37912c518732349a55ccdb78e84ccf3f4b10330f | /gene_processor_service.py | 92610b72ae7882e7642b0fbadd9a2ba465f366ad | [] | no_license | K3rn1n4tor/gene_server | 2e64540594afb7c7d020f6d6826f2cefe3f7196a | e724ac84a1ea95fbcd668e4505f9074e5035e33b | refs/heads/master | 2021-01-10T16:41:12.018373 | 2015-12-17T22:46:46 | 2015-12-17T22:46:46 | 48,202,287 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 694 | py | gene_processor_service.py | __author__ = 'Michael Kern'
def print_test():
return 'This is a test!'
# def print_debug(message):
# # import plugin module
# import caleydo_server.plugin
#
# impls = []
# plugins = caleydo_server.plugin.list('gene_type')
#
# for p in plugins:
# impl = p.load().factory()
# impls.append(impl(messag... |
c97a1e5b08cb07cca7b0140a95b9da038c4ef042 | 5080401fc5a30df1fb646fd3d20eabe1311d4ef5 | /atividade_06/att 06.py | a089fe8055b4ec3d54bf88927fce88948ba8ea07 | [] | no_license | suellenrochaa/POO-Atividades | 0cc6b6a022e4072082765b59ecec9168b9403625 | b52c8f88be5e828aa13409dc139eafe0eee23e35 | refs/heads/main | 2023-03-15T01:45:17.741845 | 2021-03-05T12:01:49 | 2021-03-05T12:01:49 | 329,416,283 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 458 | py | att 06.py | import csv
import matplotlib.pyplot as plt
with open("tabela.csv") as arquivo_csv:
ler = csv.reader(arquivo_csv, delimiter=",")
num = []
nome = []
for colunas in ler:
num.append(int(colunas[0]))
nome.append(colunas[1])
plt.plot(num, nome)
plt.show()
fig, ... |
75c1ff5bbddd4d2fd4fbb06ec944ca3c25f86712 | 6b003a8f98f23a8d0ff8f8bd00e30f81ac2ffce1 | /setup.py | 68b762e57500f576e57681590c26a3e8eb596757 | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0",
"BSD-2-Clause"
] | permissive | lionheart/django-pyodbc | 804f91436b82113ab7f78fb8ac5bee8e30af1480 | 22daac2355f2e2c35450b056dcf8b0e8ba6d6190 | refs/heads/master | 2023-02-11T19:16:00.269448 | 2023-01-29T16:42:06 | 2023-01-29T16:42:06 | 9,633,067 | 174 | 93 | Apache-2.0 | 2023-01-29T16:42:07 | 2013-04-23T20:52:21 | Python | UTF-8 | Python | false | false | 2,803 | py | setup.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2013-2017 Lionheart Software LLC
#
# 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
... |
d340216db8ac40110e0711113f43f3f8a60abd13 | a9439eb673ee06bccdfd0d757034fcbff72c0f22 | /02/pandas_7.py | 0a92cdf6ad5502e194f0000970fcbd2e99cbb701 | [] | no_license | ynov-ml/ML-2019 | 2685e88aabee9da99c44ddc270316888b88539b8 | f1c877f4140d1bbdd9b27a42fdff275c3b137426 | refs/heads/master | 2020-04-24T21:54:45.927309 | 2019-05-07T06:18:48 | 2019-05-07T06:18:48 | 172,293,984 | 4 | 20 | null | 2019-04-18T09:57:57 | 2019-02-24T04:06:10 | TeX | UTF-8 | Python | false | false | 287 | py | pandas_7.py | In [23]: df[df.D > 0]
Out[23]:
A B C D E
2016-12-11 -1.303610 -1.235823 0.621914 0.379340 -0.326934
2016-12-25 -0.124625 0.337268 -0.406295 0.587049 -0.904906
2017-01-01 -0.283182 -0.866213 0.051509 0.693037 -0.661055
In [24]:
|
473b4cbe38ed5d844167e1366c2383a6abe1b3ee | d56e2aad0f70561a280ac7ac6c09c6f081ad0f74 | /06_Exercise.py | 9cba8fba90370d3a7cc6d9448c0fbfe4987983ba | [] | no_license | Emil-Skovbo/sem4Python | 8ab3f058c02375ed9de64de7537a22804fb89bdb | fe234d70ca68162fefe28fc1154bfd7d288e405d | refs/heads/master | 2020-12-23T08:52:58.400595 | 2020-04-27T08:50:07 | 2020-04-27T08:50:07 | 237,102,369 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,060 | py | 06_Exercise.py | from concurrent.futures import ThreadPoolExecutor
import requests
import threading
import random
class NotFoundException(Exception):
pass
class DataSheet():
def __init__(self, url_list):
self.url_list = url_list
def download(self, url,):
r = requests.get(url, allow_redirects=True)... |
c02e76aaf197d1f97c12e189838377516d8c2182 | d555074248d9e862eef77730b212f25f85dc1e1d | /Lesson 7 Review.py | 7195079bb44c3f17513bdc7f70a4ee3ed70cf667 | [] | no_license | Vinesh2004/Python-ICS3U | 467bf845d2e3e1c8a8267df5b3de0942a4279bca | 9bcad4154a0487b0a03be0330e9d975a280d94a7 | refs/heads/main | 2023-03-03T20:56:22.768456 | 2021-02-11T21:56:04 | 2021-02-11T21:56:04 | 338,144,843 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,431 | py | Lesson 7 Review.py | #-----------------------------------------------------------------------------
# Name: Review of Lessons (main.py)
# Purpose: To review the concepts previously learned
#
# Author: Vinesh Vivekanand
# Created: 04-Jan-2020
# Updated: 04-Jan-2020
#-------------------------------------------------... |
84b2c3949fa9222b207ddbc891389ff7b5227346 | 8ab58053ce36d996eb8a51e0406ee99e351b99b3 | /housingPricePrediction/Logger.py | 84cac36c611e3bd7dd829ce1226069f334125774 | [
"MIT"
] | permissive | EricPOM/Source | e6f20aa3204aca179eb616facfbfe9d3c9360e0d | d32fad056a851abbef51a6c74f3924bb179e00d8 | refs/heads/master | 2020-04-04T12:53:59.401986 | 2018-11-03T12:14:12 | 2018-11-03T12:14:12 | 155,941,422 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 685 | py | Logger.py | import logging
from logging.handlers import TimedRotatingFileHandler
class Logger():
def __init__(self):
self.logger = logging.getLogger('app')
handler = TimedRotatingFileHandler("log/app.log", when="midnight", interval=1)
handler.suffix ="%d_%m_%Y"
handler.setFormatter(logging.Formatter('%(asctime)s - %(nam... |
73517f7014781acde259be302761d6f761a222c1 | 792e4a36c229895b63fcfb6ebfba27b8ede57e30 | /sitemap/views.py | f81bc0bdf550e2c425696ea581db7c4474a6975b | [] | no_license | wolfsyntax/ShipEastCourier | 95cab4c29c840e3f7ccbee22fabed79bbee93d9b | 9891b54d92877f0a23e63af6e9d181e340611028 | refs/heads/master | 2022-05-28T09:37:41.008086 | 2020-02-23T13:49:52 | 2020-02-23T13:49:52 | 243,005,134 | 0 | 0 | null | 2022-04-22T23:06:11 | 2020-02-25T13:22:43 | JavaScript | UTF-8 | Python | false | false | 2,200 | py | views.py | from django.shortcuts import render, HttpResponseRedirect
from django.views.generic import TemplateView, CreateView, UpdateView, ListView, DeleteView
# Create your views here.
from django.core.mail import send_mail
from account.forms import TrackingForm
from account.models import TrackingDetails
class HomeView(Templa... |
69e852c30f538d252340e1ccc2dcfb5731453ec8 | 67e33f73ab6c698e3eb4a8a917dd6cc48a37c4b5 | /zworker/zbee.py | e92801fe8ce35ebcaac04c88d3373e8dcf8cbb85 | [
"Apache-2.0"
] | permissive | nosoyyo/zbee | ebc24681fb89d7fb364ad667242f579c2acc7413 | dad59129f611d7d67ad7ae8563d1aa46ad82e329 | refs/heads/master | 2020-04-07T20:59:50.362710 | 2018-11-22T17:04:11 | 2018-11-22T17:04:11 | 158,710,412 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,972 | py | zbee.py | import os
import zmq
import redis
from hbee import HealthBee
class ZBeeError(Exception):
pass
class ZBee():
'''
bytes in bytes out.
'''
hbee = HealthBee('zbee')
cpool = redis.ConnectionPool(host='localhost', port=6379,
decode_responses=True, db=5)
r = ... |
a7c4b7cc989312f80ca0647e8249f374450d8999 | 06f0cf478144e7070c6cc717f9f7a6ac67189d8b | /contentcuration/contentcuration/migrations/0017_merge.py | b6cd6cb17f2bcedbb2bdadcb47a28a7cfb51a779 | [
"MIT"
] | permissive | lyw07/studio | 2e872f85f12527e72a59a126cd7a5fa5ffffbe92 | b9ed691d19fdf7d136f311ef87b778a3d94153ac | refs/heads/develop | 2021-06-04T19:48:20.462168 | 2020-02-21T23:38:24 | 2020-02-21T23:38:24 | 92,860,554 | 1 | 0 | MIT | 2019-05-16T17:30:54 | 2017-05-30T17:50:46 | Python | UTF-8 | Python | false | false | 353 | py | 0017_merge.py | # -*- coding: utf-8 -*-
# Generated by Django 1.9.7 on 2016-09-19 22:31
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('contentcuration', '0016_auto_20160915_1206'),
('contentcuration', '0015_auto_20160916_1349'),... |
399bc271279a1d99d14bd6101404352ecb9c04bc | 61b85ca67bde2326f9f978ea24c02c4a111c2ff8 | /Exceptions/GroupNameCannotBeNull.py | 9d0ac3ea936dd23fb2e0d403285c3b52516b4f9d | [] | no_license | saurabh-github-1995/MYSPLITS | 70489b4907b42fff142cb95f37a3385a4f46180c | 129fe08d75bc98cbfccf3cab88f3791444df9c83 | refs/heads/master | 2023-01-11T06:51:03.655815 | 2020-03-13T16:20:50 | 2020-03-13T16:20:50 | 240,938,704 | 0 | 0 | null | 2023-01-07T15:02:35 | 2020-02-16T17:58:34 | Python | UTF-8 | Python | false | false | 60 | py | GroupNameCannotBeNull.py | class GroupNameCannotBeNull(Exception):
STATUS_CODE = -8 |
986c366aa8408ea176fc7e37ae6688d4381139d2 | e3299fcdbf256ac7c7b9771cf8621de58d9a8299 | /multiAgents.py | 10bd709e00726e52131f8141f1195bba9bd99f1a | [] | no_license | chissycode/Pacman | aabab372bba4de1d637de639d50f5a39ca26e4a9 | d3ca26e2dda736695dd3bf23b02ced0af7af8fb1 | refs/heads/master | 2020-11-24T10:56:16.899463 | 2019-12-16T05:00:38 | 2019-12-16T05:00:38 | 228,116,774 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,909 | py | multiAgents.py | # multiAgents.py
# --------------
# Licensing Information: You are free to use or extend these projects for
# educational purposes provided that (1) you do not distribute or publish
# solutions, (2) you retain this notice, and (3) you provide clear
# attribution to UC Berkeley, including a link to http://ai.berkeley.e... |
ee7b92efd03455522502858aba45820ed94ed36e | 975b6e70b0d321d129523cd0d43380fab6570d24 | /Project_Checkpoint_2_submission/src/project_knn.py | 30a851a1c2addcbfd3ddef302a2170f55d7b24eb | [] | no_license | macbeez/CAP-5610_Machine-Learning | 6f37ac3879c9f2e1e78ddde58d8b52d8c024f0c1 | 826683533c1ffa2fe96bf01fedc90ca36b13b62d | refs/heads/master | 2023-01-13T01:02:53.450680 | 2020-11-21T15:45:40 | 2020-11-21T15:45:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,186 | py | project_knn.py | import pandas as pd
import numpy as np
from sklearn.neighbors import KNeighborsClassifier
from sklearn.model_selection import KFold, cross_val_score
from sklearn import metrics
import matplotlib.pyplot as plt
from tabulate import tabulate
train_df = pd.read_csv("include/train.csv")
test_df = pd.read_csv("include/test.... |
38de2f1b3b08f7852c79c14b02e55a378d8f33ca | 14f40e51d1f2b0671650ee6c350756b42262c6f2 | /platformio/debug/process/gdb.py | 29a8ba3a230e522d5ef7a0bd9576551febbd9d49 | [
"Apache-2.0"
] | permissive | platformio/platformio-core | 7cfb8bb60661122f883ca175b6c48c9299fc3262 | 897844ebc172bd8a2e313bdb9011fc7d986863c2 | refs/heads/develop | 2023-08-22T01:48:10.215800 | 2023-08-18T11:39:03 | 2023-08-18T11:39:03 | 19,606,299 | 6,058 | 707 | Apache-2.0 | 2023-09-07T05:23:55 | 2014-05-09T09:38:42 | Python | UTF-8 | Python | false | false | 7,024 | py | gdb.py | # Copyright (c) 2014-present PlatformIO <contact@platformio.org>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... |
36908017b137e66df4746955febbdd8a55cec3c2 | 9743d5fd24822f79c156ad112229e25adb9ed6f6 | /xai/brain/wordbase/nouns/_backers.py | 41db7539bde5ca3929d87bfe120ca47db41f64a7 | [
"MIT"
] | permissive | cash2one/xai | de7adad1758f50dd6786bf0111e71a903f039b64 | e76f12c9f4dcf3ac1c7c08b0cc8844c0b0a104b6 | refs/heads/master | 2021-01-19T12:33:54.964379 | 2017-01-28T02:00:50 | 2017-01-28T02:00:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 238 | py | _backers.py |
from xai.brain.wordbase.nouns._backer import _BACKER
#calss header
class _BACKERS(_BACKER, ):
def __init__(self,):
_BACKER.__init__(self)
self.name = "BACKERS"
self.specie = 'nouns'
self.basic = "backer"
self.jsondata = {}
|
f4402d436f6bb5b543fb9d7b5ddeb647ccb37774 | c67bc2e249b2dc9c22d6be4d3f17de59292c9c9b | /HT_study_1.py | 6307ac7aa354a4e4eb9040ed5d742097ecc87ae1 | [] | no_license | sonirishi/CaseStudy | c61edb88666d2ce4a95a999400b94fca9c1941be | b310a5a3c3629deee75a1b05d49d64870be64f0c | refs/heads/master | 2021-07-04T09:59:18.417209 | 2017-09-26T06:56:33 | 2017-09-26T06:56:33 | 104,767,188 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,677 | py | HT_study_1.py |
import pandas as pd
from gensim.models import Word2Vec
import numpy as np
from nltk.stem import WordNetLemmatizer
from sklearn.cross_validation import train_test_split
from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier
from sklearn.grid_search import GridSearchCV
from sklearn.prepr... |
b3a8dfe57739060bcea8b5b00d39bcbaefb3bc8d | 692e76fa3dd4524a26f2256fb534e2855c41af3f | /opennem/schema/time.py | 34ec5d82249ddb90ff454fce6869108e3376fb57 | [
"MIT"
] | permissive | gauravjain2/opennem | 70c0ead8dee884728e5672d955bde2e291f8a3eb | e66431fc3c79e87c74b8c2a07d22e0e586d70f90 | refs/heads/master | 2023-05-10T05:11:48.643439 | 2021-06-06T15:50:46 | 2021-06-06T15:50:46 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,463 | py | time.py | from datetime import timedelta
from typing import Optional
from pydantic import Field
from opennem.utils.time import human_to_timedelta
from .core import BaseConfig
JOIN_QUERY = """ +
((extract(minute FROM fs.{field} AT TIME ZONE '{timezone}')::int / {interval})::integer
* interval '{interval} minute')::int... |
398e7d6db85c9dcb2f82bd2228a6f04b7af5468d | 25d1a97cad09f2f16708778e9abd01bb27e31e3d | /DEFINES | 69eabf669ea6974ec1394986f92852016e6711b4 | [] | no_license | bibhas/tracer | 5af520581492c2ed197706c4d89172e24d4a2f8e | 0d37d78916028e832308d8faa30419109feaf96d | refs/heads/master | 2021-06-20T09:08:51.889566 | 2017-07-10T10:53:53 | 2017-07-10T10:53:53 | 96,389,719 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 499 | DEFINES | #!/usr/bin/python
# 2017 Bibhas Acharya <mail@bibhas.com>
import subprocess
"""
This is the place to customize the source. Changes will propagate to
build scripts, installer scripts, built packages as well as the final binary.
"""
variables = {
# Build setting
'macos_sdk_version' : ".".join(subprocess.Popen(["... | |
ff0fedfc21f1372ed0fe01a744a8eb76e6000093 | 898df4652eea2510ec8e5d1cceaad9db00bdc5c2 | /models/NeuralNetwork.py | 188a6faf1ddbead1d5cc01a6fb25de43e6ffa155 | [] | no_license | Ignotus/dsg-final | 54172e845286bf861363ab1c7ad29529f6cbfe79 | 368ebd337e0afdc1759acb189b639327ee95e47f | refs/heads/master | 2021-04-30T23:01:09.429767 | 2016-09-11T11:59:41 | 2016-09-11T11:59:41 | 67,831,546 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,259 | py | NeuralNetwork.py | from keras.models import Sequential
from keras.layers import Dense, Activation, Dropout
from keras.optimizers import SGD, Adam
from keras.models import load_model
from make_prediction_file import make_prediction_file
import numpy as np
import scipy as sp
import time
import os
def logloss(act, pred, epsilon=1e-15):
... |