repo_name stringlengths 7 111 | __id__ int64 16.6k 19,705B | blob_id stringlengths 40 40 | directory_id stringlengths 40 40 | path stringlengths 5 151 | content_id stringlengths 40 40 | detected_licenses list | license_type stringclasses 2
values | repo_url stringlengths 26 130 | snapshot_id stringlengths 40 40 | revision_id stringlengths 40 40 | branch_name stringlengths 4 42 | visit_date timestamp[ns] | revision_date timestamp[ns] | committer_date timestamp[ns] | github_id int64 14.6k 687M ⌀ | star_events_count int64 0 209k | fork_events_count int64 0 110k | gha_license_id stringclasses 12
values | gha_fork bool 2
classes | gha_event_created_at timestamp[ns] | gha_created_at timestamp[ns] | gha_updated_at timestamp[ns] | gha_pushed_at timestamp[ns] | gha_size int64 0 10.2M ⌀ | gha_stargazers_count int32 0 178k ⌀ | gha_forks_count int32 0 88.9k ⌀ | gha_open_issues_count int32 0 2.72k ⌀ | gha_language stringlengths 1 16 ⌀ | gha_archived bool 1
class | gha_disabled bool 1
class | content stringlengths 10 2.95M | src_encoding stringclasses 5
values | language stringclasses 1
value | is_vendor bool 2
classes | is_generated bool 2
classes | length_bytes int64 10 2.95M | extension stringclasses 19
values | num_repo_files int64 1 202k | filename stringlengths 4 112 | num_lang_files int64 1 202k | alphanum_fraction float64 0.26 0.89 | alpha_fraction float64 0.2 0.89 | hex_fraction float64 0 0.09 | num_lines int32 1 93.6k | avg_line_length float64 4.57 103 | max_line_length int64 7 931 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
JulseJiang/DrugKBPrototype | 3,032,246,933,707 | 699b403b2d1b2d7deae4507a01013afe8739cb95 | 3b9194499503f9e06dbebe113c53afad0b572ab2 | /Visualization/functionhelp.py | 2c17b58cfc37b4fa09a344204cc4c1932e90d348 | [] | no_license | https://github.com/JulseJiang/DrugKBPrototype | 0bffa42b2913996d22e40942d24c4da0feb76f33 | 34567630fe8febb1ea6827541fd3d92f42935ecc | refs/heads/main | 2023-03-19T17:57:14.822743 | 2021-03-18T11:54:22 | 2021-03-18T11:54:22 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # -*- encoding: utf-8 -*-
#-------------------------------------------------------------------------------
# @file: function
# @Author: GuoSijia
# @Purpose:
# @Created: 2019-04-21
# @update: 2019-04-21 9:39
# @Software: PyCharm
#--------------------------------------------------------------... | UTF-8 | Python | false | false | 4,950 | py | 67 | functionhelp.py | 54 | 0.631889 | 0.608119 | 0 | 135 | 34.222222 | 112 |
pranavgarg1506/Machine_Learning | 9,156,870,305,944 | 2f1d912d53450d23d7cfaa7a80ea93f7a7b68c63 | 9a92c117403e9b8ed6d0ab4d25ece315288fdfe1 | /passwordGenerator/passwordgenerate.py | 94b3ed859e53fcace9f280b53a8a4da21b93f48b | [] | no_license | https://github.com/pranavgarg1506/Machine_Learning | b459c1eb0fecf91f958ab349a60d653e8dad51a9 | 865906d6d9edf76657f71cc8ae275ca1e27ae93a | refs/heads/master | 2022-04-11T14:49:28.227047 | 2020-03-31T15:35:12 | 2020-03-31T15:35:12 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import numpy as np
import datetime
Capital = "ABCDEFGIJKLMNOPQRSTUVWXYZ"
small = 'abcdefgijklmnopqrstuvwxyz'
number = '0123456789'
specialCharacters = '!@#$%^&*()'
digit = int(input())
print("digit ", digit)
password = ''
index = 0
# defining probabilities for all the sets
# p_Capital = 0
# p_small = 0
# p_number... | UTF-8 | Python | false | false | 3,210 | py | 6 | passwordgenerate.py | 4 | 0.664174 | 0.649533 | 0 | 116 | 26.672414 | 123 |
Chenjianqi1992/Movie_comment | 1,400,159,367,740 | 6889d13882024bab36cf319628e955794316e501 | e17b9b9978ba214294d752d170bb50caff6ec70a | /movie_comment/movie/migrations/0002_remove_movie_info_movie_published.py | cc5629c9c3ed9e2a5b6dde1d8de57e2c94e3c8ee | [] | no_license | https://github.com/Chenjianqi1992/Movie_comment | e0563ab215e456f1da8dd87ed473c988c1f6013f | 73900ef887fa38bc2a4fc770c39eef0e4ebcb4c3 | refs/heads/master | 2021-07-16T13:01:33.512789 | 2020-05-19T02:31:09 | 2020-05-19T02:31:09 | 144,814,257 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # Generated by Django 2.0.7 on 2018-08-07 06:08
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('movie', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_name='movie_info',
name='movie_publish... | UTF-8 | Python | false | false | 345 | py | 13 | 0002_remove_movie_info_movie_published.py | 9 | 0.550725 | 0.495652 | 0 | 17 | 18.294118 | 47 |
buraksmg/e-itim | 14,465,449,897,259 | 7f190558ca228b7bbdb54b6480c79b67fd24754c | d9c7c6da6c55d6f77f9cbbb754ce88863195b871 | /egitim_1.py | 94953c4d0d8ac4425bc4f5503a046310d5b1fe67 | [] | no_license | https://github.com/buraksmg/e-itim | f2f89d3bf2764d3a5c7f3363c2b4daef74e12da7 | fc518478ccc2470c96db9a03c52fe2851e3fc0c4 | refs/heads/master | 2022-11-20T08:43:42.429429 | 2020-07-20T13:01:52 | 2020-07-20T13:01:52 | 280,889,960 | 0 | 1 | null | null | null | null | null | null | null | null | null | null | null | null | null | """test"""
print("Hello world")
print("merhaba doğum tarihinizi yazınız")
a = int(input())
print("yaşınız:"+str(2020-a))
| UTF-8 | Python | false | false | 134 | py | 7 | egitim_1.py | 7 | 0.640625 | 0.609375 | 0 | 6 | 19.333333 | 41 |
csm9493/denoising_gan | 19,061,064,862,038 | f5122de663339e52f2ad2185a9c17746ea863284 | 71b193a2bb083efd33406fb3b00b07f9f1469abd | /main_noisegan.py | f935b0fd315307a0906506d6e50fbe3aa6a3daa4 | [] | no_license | https://github.com/csm9493/denoising_gan | cbbb4d73e29ab8d1a7bc2a26914e6d0d65ed9b2d | 0a2dc2329035ae1f0a8fb044b8e6be4c2c306949 | refs/heads/master | 2020-04-25T20:09:57.178031 | 2019-03-27T00:31:47 | 2019-03-27T00:31:47 | 173,045,206 | 2 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from core.noisegan import NoiseGAN
import torch
import torch.nn as nn
import torch.nn.functional as F
class ResidualBlock(nn.Module):
def __init__(self, in_features):
super(ResidualBlock, self).__init__()
conv_block = [ nn.ReflectionPad2d(1),
nn.Conv2d(in_features, in_feat... | UTF-8 | Python | false | false | 6,326 | py | 5 | main_noisegan.py | 5 | 0.585836 | 0.543155 | 0 | 169 | 36.372781 | 149 |
N1te0wl1384/inzopr2020 | 12,773,232,784,532 | 7c817870f4cf59a571325a419d63e442ee3250b4 | c465c76e7bbbcc5c2a74dc2a1fd47d8def839d51 | /git_operations/pracownicy.py | 87b7b8d27ec520da52970c52b00810c619b15bb5 | [] | no_license | https://github.com/N1te0wl1384/inzopr2020 | 547f796662834be13ee7746b63a09f5959131313 | c25aa1bf401f114a9702b663bf288a36ac1eb5b5 | refs/heads/master | 2022-05-28T23:38:28.849880 | 2020-04-30T14:37:01 | 2020-04-30T14:37:01 | 259,095,822 | 0 | 0 | null | false | 2020-04-30T14:37:02 | 2020-04-26T17:48:34 | 2020-04-30T14:24:23 | 2020-04-30T14:37:01 | 16 | 0 | 0 | 0 | Python | false | false | class Pracownik:
def __init__(self, imie, pensja):
self.imie = imie
self.pensja = pensja
def obliczPensje(self):
b = self.pensja
c = float('%.2f'% (round(b*0.0976,2) + round(b*0.015,2) + round(b*0.0245,2)))
d = b - c
e = float('%.2f'% round(d*0.09, 2))
f ... | UTF-8 | Python | false | false | 1,383 | py | 5 | pracownicy.py | 4 | 0.573391 | 0.514823 | 0 | 41 | 32.731707 | 132 |
meijida258/mediaSpider | 16,269,336,159,180 | c3dfbe1bf9a93c64aa15e7b3ab852440462ea30c | 54891a2c2ddd56de28c495309a52e98b36290cf0 | /crawl/mmjpg.py | 3caec44e10e4ad56f26a8056c7d8449ac3d672e8 | [] | no_license | https://github.com/meijida258/mediaSpider | 61287f5ca58650c6a9578afdbab764fe063c5b39 | 9a9ef40d1f3dbd46dff25fad4a8b87ee85e5e1fd | refs/heads/master | 2021-01-23T08:10:14.211074 | 2018-06-20T02:19:12 | 2018-06-20T02:19:12 | 86,479,178 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import asyncio, time, re, os, requests, json, random, datetime
from lxml import etree
from multiprocessing.dummy import Pool
from pymongo import MongoClient
from PIL import Image
from tool.ImgOut import iop
client = MongoClient('localhost', 27017)
db = client.MMjpg
collection1 = db.Image1
collection2 = db.Image2
colle... | UTF-8 | Python | false | false | 3,072 | py | 122 | mmjpg.py | 93 | 0.597948 | 0.577763 | 0 | 78 | 37.75641 | 133 |
hi-noikiy/hall0 | 5,995,774,369,967 | c56c8fd31581724bab21bc7911e6e3126f917611 | 2b5dfacdb7389aefff64c67fac863e3f82d3723e | /source/tyframework/src/tyframework/_private_/dao/userprops_/usermedal.py | 95de216065f5bc50b36cdd1ed59226c47e7bc7a5 | [] | no_license | https://github.com/hi-noikiy/hall0 | 54ef76c715f7ac7fec4c9ca175817e12f60fbd6a | 21ea94c5b048bc611fb1557ac0b6e3ef4fdbbc09 | refs/heads/master | 2020-04-08T21:58:55.239106 | 2018-01-15T14:58:32 | 2018-01-15T14:58:32 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # -*- coding=utf-8 -*-
from tyframework._private_.dao.userprops_.daobase import DaoBase
from tyframework._private_.dao.userprops_.daoconst import DaoConst
from tyframework._private_.dao.userprops_.decorator.structdataitem import load_struct_data, \
dump_struct_data
class UserMedal(DaoConst, DaoBase):
def _in... | UTF-8 | Python | false | false | 4,966 | py | 1,079 | usermedal.py | 601 | 0.584984 | 0.584754 | 0 | 113 | 37.424779 | 116 |
PurpleMyst/porcupine | 18,219,251,289,688 | f017a806ba28bc62cc281deb3445d569032374c1 | 3c98132198637077b55d3b6630a7134f747e8e39 | /porcupine/plugins/autopep8.py | 5d24f6b133af09b5fdd842989959e709202cdeff | [
"MIT"
] | permissive | https://github.com/PurpleMyst/porcupine | ebff59278fb426e8cba862ac6ef6f3ce7d4bd3a9 | 1ce4e15a5b2fed97efb889e56216c93c042fc7a8 | refs/heads/master | 2021-01-25T06:56:11.144326 | 2017-09-07T19:11:12 | 2017-09-07T19:11:12 | 93,628,416 | 0 | 1 | null | true | 2017-06-07T11:35:06 | 2017-06-07T11:35:05 | 2017-05-29T12:16:37 | 2017-06-07T10:00:48 | 774 | 0 | 0 | 0 | null | null | null | import platform
import subprocess
import porcupine
from porcupine import tabs, utils
def run_autopep8(code):
try:
import autopep8 # noqa
except ImportError:
# this command is wrong in some cases, but most of the time
# it's ok
if platform.system() == 'Windows':
... | UTF-8 | Python | false | false | 1,957 | py | 57 | autopep8.py | 44 | 0.60603 | 0.593255 | 0 | 63 | 30.063492 | 77 |
ahtouw/Projects | 9,680,856,317,183 | 0d3c8d4f4845c46313d5fc3e6f849dc877b5ea4f | 23019dc9f099efe5361d387817022130af59334b | /Comp Sci/Python/hw4/hw4-3.py | f7b06e5e5a91ccc4c724207580a34c8d0e47990e | [] | no_license | https://github.com/ahtouw/Projects | 950dc23b371fe0997b48c4475ad268aa0342fbca | 15d25449e3ddcfe204d2ac6546ccb9272f074928 | refs/heads/master | 2020-04-14T15:38:02.363349 | 2019-01-03T07:16:34 | 2019-01-03T07:16:34 | 163,932,996 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # Homework 4 - Part 3 - Substitution
# William Ah Tou
# 3/12/17
# Mustafa Al-Lail
import sys
import re
inFile = sys.argv[1]
outFile = sys.argv[2]
def readFile(fileName):
with open(fileName,'r') as f:
lines = f.read().splitlines()
return lines
def writeFile(newLine):
appendStr = newLine + '\n'
... | UTF-8 | Python | false | false | 2,151 | py | 40 | hw4-3.py | 16 | 0.451883 | 0.437936 | 0 | 98 | 20.959184 | 77 |
darionyaphet/python.learning | 8,521,215,159,316 | fc035da22f55faa92bbe141491c880559f67884d | f319e49b4a4852539fca48fbe830f3871f9f5a2f | /pandas/start.py | 77a7d5af338e73b20cf02844f9ccfadc6d009e0d | [] | no_license | https://github.com/darionyaphet/python.learning | 75b4d8f7e863286f212f55a6b0478a68b11e48d9 | eec24569ef11c7c459a2a10aff9f6522edb1e352 | refs/heads/master | 2020-05-21T12:23:02.060758 | 2018-12-12T07:03:10 | 2018-12-12T07:03:10 | 36,119,713 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | '''
10 Minutes to pandas:
http://pandas.pydata.org/pandas-docs/stable/10min.html
'''
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
#Creating a Series by passing a list of values, letting pandas create a default integer index
s = pd.Series([1,3,5,np.nan,6,8])
'''
0 1
1 3
2 ... | UTF-8 | Python | false | false | 2,443 | py | 53 | start.py | 50 | 0.561195 | 0.289808 | 0 | 84 | 28.047619 | 93 |
MarcoBurgos/ayeWedding | 17,093,969,866,911 | d18d3d8c1b5acc479b13e121eaffcefebc75b5e1 | 74315bccd4faef88b2ac33dcb1b26977121a4d0f | /ayeApp/models.py | 50d474e7bd40906ad5c44f90540cd1c2f8633429 | [] | no_license | https://github.com/MarcoBurgos/ayeWedding | b5aebe825272f8a9a1a32348515a7260b164bf8b | 16d231ae5e6bd623c66874ef150d7e2ea3d7eb1f | refs/heads/main | 2022-12-30T12:25:33.158855 | 2020-10-20T02:02:42 | 2020-10-20T02:02:42 | 305,221,217 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from django.db import models
from django.forms import ModelForm
# Create your models here.
class Invitation(models.Model):
invitation_owner_name = models.CharField(max_length=90, verbose_name="Propietario de la invitación")
email = models.EmailField(max_length = 128, unique=True)
telephone = models.CharFie... | UTF-8 | Python | false | false | 1,029 | py | 13 | models.py | 8 | 0.736585 | 0.723902 | 0 | 20 | 50.25 | 114 |
SaurabhAgarwala/grapp | 13,503,377,206,205 | 3f9d28756c601b20f5534d1fcbc663f99a9e7dc5 | c7f47100965c15b4cb120610a4c8af33ab727c3d | /grievances/forms.py | bc2030b50bd712fcbf7d331d05b93d19f30c0210 | [] | no_license | https://github.com/SaurabhAgarwala/grapp | a60213f262115e6599b77a03cdd0c5b46678644a | d0d568add196308e6940c94735a1e980d9b23a38 | refs/heads/master | 2020-03-26T22:30:33.608655 | 2018-08-20T19:58:37 | 2018-08-20T19:58:37 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from django import forms
from . import models
class ComplainForm(forms.ModelForm):
class Meta:
model = models.Complain
fields = ['title', 'body']
class RespondForm(forms.ModelForm):
class Meta:
model = models.Complain
fields = ['status', 'comments'] | UTF-8 | Python | false | false | 291 | py | 16 | forms.py | 8 | 0.649485 | 0.649485 | 0 | 12 | 23.333333 | 39 |
xinsec/python-framework | 14,654,428,435,711 | d1338348b197822003edf7738f8c79af7532e8d5 | 4ebf8067f596707dc5336914bf0ea0a97d9fbcb7 | /tornadoapp/tornadoapp/websocket/client.py | ed4bc7ae825713f550c9436098dfec7305bcaf03 | [] | no_license | https://github.com/xinsec/python-framework | 0ade696c5467635a6fd38125f1b2467d58047184 | 2da2258896145456312342f471d91cec95ddfb24 | refs/heads/master | 2018-02-06T19:13:18.152713 | 2017-06-28T03:54:21 | 2017-06-28T03:54:21 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | """
pip install websocket-client
"""
from websocket import create_connection
if __name__ == '__main__':
ws_server = "ws://localhost:30001/websocket/"
ws = create_connection(ws_server)
# ws.send('{"name":"admin"}')
ws.send('{"message":{"reload":1},"destination":"admin"}')
print ws.recv()
ws.clo... | UTF-8 | Python | false | false | 324 | py | 35 | client.py | 27 | 0.611111 | 0.592593 | 0 | 13 | 24 | 61 |
woobinda/mysite_v2 | 764,504,206,826 | bf4a14bc18cc7d923fcdcf6b3732ec332a1c7c94 | cad8d97ff00189c5bcc5f9d8278cb809ff044772 | /musicians/migrations/0027_auto_20160412_1443.py | 869dfa91f853e9d54658f82642d8f5cb68aa9120 | [] | no_license | https://github.com/woobinda/mysite_v2 | d1a405148ffd1bb87b254c9449f46dc50c73085f | 9a105e042c4ae1c204d031a4a2a9cd712ce0e831 | refs/heads/master | 2016-06-03T08:11:04.791096 | 2016-04-15T17:56:08 | 2016-04-15T17:56:08 | 51,135,993 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.9.1 on 2016-04-12 11:43
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('musicians', '0026_auto_20160412_1407'),
]
operation... | UTF-8 | Python | false | false | 1,203 | py | 81 | 0027_auto_20160412_1443.py | 46 | 0.58271 | 0.551122 | 0 | 37 | 31.513514 | 149 |
cyriltasse/FindCluster | 8,315,056,690,198 | 1e00c4aa44c79a38d75e139eb7c778e19dcbae5c | 593930a095ace43d083e850c6a155eea3824dfcf | /ClassLogDiffLikelihoodMachine.py | d938c2eb8cc3d2cfb3a80bd245f372c5d26fb48c | [] | no_license | https://github.com/cyriltasse/FindCluster | edc96280e0e5824ed2d607a5b4a4d62686c99559 | f8010c04b6802751669a81bfc63bb5a84777ca31 | refs/heads/master | 2023-01-28T12:26:54.549341 | 2020-05-27T14:34:03 | 2020-05-27T14:34:03 | 186,429,403 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import numpy as np
import pylab
import ClassMassFunction
import ClassCatalogMachine
import ClassDisplayRGB
from DDFacet.Other import ClassTimeIt
from DDFacet.ToolsDir.ModToolBox import EstimateNpix
np.random.seed(1)
from DDFacet.Other import logger
log = logger.getLogger("ClassLikelihoodMachine")
from DDFacet.Other.Asy... | UTF-8 | Python | false | false | 18,810 | py | 49 | ClassLogDiffLikelihoodMachine.py | 49 | 0.509091 | 0.477778 | 0 | 541 | 33.752311 | 157 |
KupynOrest/AmurTigerCVWC | 5,265,629,914,523 | b5ad41c2d7d9bac0fb5a938ee165f125b5922945 | 116395020bafdfc3b7ac56150dfff72507d83faa | /PyTorch/model_training/detection/detector.py | f8f846a7b91b983d12d604f4d6c2a747a2c9739a | [] | no_license | https://github.com/KupynOrest/AmurTigerCVWC | 4e8aee5f4b9b736a8d8fe24aae984c97dab22acd | 684e9c1480da92b4ce7ea24d31a55657256aee23 | refs/heads/master | 2020-06-26T09:53:40.176070 | 2019-08-05T14:15:04 | 2019-08-05T14:15:04 | 199,601,559 | 7 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | import albumentations as albu
import numpy as np
import torch
# from model_training.detection.retinanet_v2 import RetinaNet
from model_training.detection.retinanet import RetinaNet
from .ssd import SSD
from .detector_postprocessing import DetectorPostProcessing
class Detector(object):
def __init__(self, config):... | UTF-8 | Python | false | false | 1,930 | py | 39 | detector.py | 32 | 0.615544 | 0.6 | 0 | 54 | 34.740741 | 117 |
Yanqin25/pythonLab | 9,629,316,721,274 | e3086ecfe12d2ca0f7ad2320b1494235f763d01a | 0771e69408932bd128e71556ac8b3547c583bab0 | /18.algorithm/linear_algebra/matrix.py | a77140feff04a1d1d0c008b0deb1db3b43689e3f | [] | no_license | https://github.com/Yanqin25/pythonLab | bbbe7bc8eb7f9964b5070ea8b1c6a65313eae56d | 48f6ab729a635016c09208608c7223523f73d8f7 | refs/heads/master | 2020-08-10T23:40:05.760447 | 2020-02-26T10:07:30 | 2020-02-26T10:07:30 | 214,445,503 | 0 | 0 | null | false | 2020-02-18T01:13:04 | 2019-10-11T13:36:54 | 2020-02-18T01:12:41 | 2020-02-18T01:13:03 | 16,739 | 0 | 0 | 2 | Python | false | false | from vetor import *
class Matrix(object):
def __init__(self,matrix,w,h): # 矩阵的初始化
self.__matrix = matrix
self.__width = w
self.__height = h
def __str__(self): # 返回矩阵的字符表达形式
ans = ""
for i in range(self.__height):
ans += "|"
for j in range(self._... | UTF-8 | Python | false | false | 3,348 | py | 186 | matrix.py | 163 | 0.497782 | 0.491128 | 0 | 80 | 38.425 | 111 |
parkus/FLAIIL | 16,149,077,071,889 | b978cfc4f3020848f337a6704d53e2b6db1e35d6 | aed2049a6cc9cf2434221632b1b0d60da7d10d60 | /ranges.py | 9c3776c36af86bc0eca4e84beccc8ccb8f1c3cfc | [
"MIT"
] | permissive | https://github.com/parkus/FLAIIL | 15d776c36cca48ead0e6bf65ba4f48f599173976 | 53698f9e6e2d933c091fb9c4b069bf255871541b | refs/heads/master | 2020-03-16T17:18:35.783996 | 2020-02-21T18:15:26 | 2020-02-21T18:15:26 | 132,826,181 | 2 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | """
Utilities for handling numerical ranges.
"""
from __future__ import division, print_function, absolute_import
import numpy as np
def rangeset_union(ranges0, ranges1):
"""
Return the union of two sets of *sorted* ranges.
Parameters
----------
ranges0 : Nx2 array
ranges1 : Nx2 array
... | UTF-8 | Python | false | false | 4,068 | py | 7 | ranges.py | 6 | 0.584317 | 0.552606 | 0 | 144 | 27.256944 | 83 |
urmithakkar/testrepo | 13,580,686,593,455 | 13a2be3124a6d79b1be53a72abe41c8ae8c3363f | ec77feaed2d190ded34799ea01c8072d955a0022 | /testbranch1.py | 9cc1f894fe66a595f686cfbcd7be9aa53540ae87 | [] | no_license | https://github.com/urmithakkar/testrepo | 8181ee263cf31d19f36041da4ecffa20779fc394 | 2e7e154b1ab44242ab889a0ebf74c8e18182d487 | refs/heads/main | 2023-02-05T16:56:38.494353 | 2020-12-26T15:43:46 | 2020-12-26T15:43:46 | 324,581,770 | 0 | 0 | null | false | 2020-12-26T15:43:47 | 2020-12-26T15:23:08 | 2020-12-26T15:26:22 | 2020-12-26T15:43:46 | 0 | 0 | 0 | 0 | Python | false | false | #creating a file in brach1
print("Inside branch 1")
| UTF-8 | Python | false | false | 53 | py | 2 | testbranch1.py | 2 | 0.735849 | 0.698113 | 0 | 3 | 16.666667 | 26 |
fd-facu/termodinamica | 18,030,272,737,461 | b9a8f8bae47d51cee31a962d4e9714f9fdc6a367 | aafae0baeaeda7409c47cf4933edcfde4040f018 | /grafico_temp_calor.py | 6582a93e95fb7d2f7ae1c0d50b3453b973d833ff | [] | no_license | https://github.com/fd-facu/termodinamica | 26adb1c46bcb43398daff558e37d6612dacf3df4 | 1a9a1d50a82d7a8542f26a97b68298d0be8cc40c | refs/heads/master | 2022-01-29T11:38:44.559874 | 2017-12-12T20:56:40 | 2017-12-12T20:56:40 | 95,333,793 | 0 | 0 | null | false | 2022-01-19T23:29:57 | 2017-06-25T02:29:31 | 2017-12-06T17:41:23 | 2022-01-19T23:29:56 | 63 | 0 | 0 | 1 | Python | false | false | import matplotlib.pyplot as plt
plt.ylabel('Temperatura (K)')
plt.xlabel('Tiempo (seg)')
plt.title('Grafico PV')
def generar_grafico(lista_etapas):
instancia_x = []
instancia_y = []
for tupla in lista_etapas:
instancia_x.append(tupla[0])
instancia_y.append(tupla[1])
... | UTF-8 | Python | false | false | 405 | py | 19 | grafico_temp_calor.py | 18 | 0.612346 | 0.607407 | 0 | 23 | 15.695652 | 38 |
Bihan-tifr/Exam | 6,743,098,678,767 | 8135bb23edb4c7f029af0082e6b21201459431a3 | 5bf5da35ccd39c6e99cf6f904f250ed117bc019c | /p9.py | 1e35676b173fd3fee99d955075f00cc83b633f8d | [] | no_license | https://github.com/Bihan-tifr/Exam | 52615027df4a86bbf980b303335094b1c50f4e59 | e254c346c8dde8def5cb033e1b4998652a6cd341 | refs/heads/master | 2022-10-08T21:40:56.950279 | 2020-06-05T15:49:10 | 2020-06-05T15:49:10 | 269,667,696 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import numpy as np
A=np.array([[2,1],[1,0],[0,1]])
print("The Matrix:\n{}".format(A))
print("Singular value decomposition:")
u,s,v=(np.linalg.svd(A))
print("u:\n{}".format(u))
print("s:\n{}".format(s))
print("v:\n{}".format(v))
input("press any key to evaluate svd of second matrix")
B=np.array([[1,1,0],[1,0,1],[0,1,... | UTF-8 | Python | false | false | 502 | py | 6 | p9.py | 5 | 0.615538 | 0.585657 | 0 | 19 | 25.368421 | 55 |
1017-MJ/1017_MJ | 18,236,431,163,772 | edf019e4e0f8b7c9e9478e2ffd0deb28d634e969 | c235a6d5ff3c118f6e89b7ee853e8d2cb8debeda | /27.py | 576e52ca08ad3e5b7cc6debe4f29de089114aee2 | [] | no_license | https://github.com/1017-MJ/1017_MJ | 7b9b7ac4322bf8ed17d8c200d98d2bdc7c2c1fad | a2f2775cc40f88fd5abdc0c0fa14cdf2f6d21460 | refs/heads/main | 2023-06-04T16:41:27.230568 | 2021-06-11T11:46:15 | 2021-06-11T11:46:15 | 365,239,005 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | x = [3,2,4,1]
for n in x:
print(n)
x = [3,2,4,1]
y = ["Hello", "There"]
for c in y:
print(c)
x = [3,2,4,1]
#0,1,2,3
y = ["Hello", "There"]
print(x.index(4))
print(y.index("Hello"))
x = [3,2,4,1]
#0,1,2,3
y = ["Hello", "T... | UTF-8 | Python | false | false | 496 | py | 26 | 27.py | 26 | 0.397917 | 0.345833 | 0 | 34 | 12.176471 | 25 |
zvonicek/IT3708 | 10,660,108,846,122 | 429ecd76fdaea5cc57bce42ed087fb1542f5b573 | 7b201f188e0e5073009dd84f0437cc6a1c41b920 | /task5_q_learning/q_flatland/reinforcement_flatland/flatland.py | 4c588cb74da5ee3de1de249a84fbc855bed021f1 | [] | no_license | https://github.com/zvonicek/IT3708 | d4e4653cb1579c0765bd4837677d798f696f57af | 990b448f9d01badc8b955ce49843e37c54f8fd7b | refs/heads/master | 2020-05-20T06:01:23.754233 | 2015-05-19T10:59:32 | 2015-05-19T10:59:32 | 30,255,328 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import random
class Cell:
Food, Poison, Empty, Agent = range(0, 4)
class Turn:
Left, Right, Up, Down = range(0, 4)
class Flatland():
def __init__(self, world, agent_coord, food_num, poison_num):
self.agent_init = agent_coord
self.agent_coord = agent_coord
self.grid = world
... | UTF-8 | Python | false | false | 3,620 | py | 57 | flatland.py | 37 | 0.508011 | 0.498895 | 0 | 114 | 30.763158 | 93 |
hypnguyen1209/infosec-algorithm | 154,618,845,393 | fb92f1769733165dfad4a83ca4d1e089cf7ae84f | fd836e5c699198ff32f6a6710a6720979a53ca43 | /a.py | 940803d21643dcec9bfd86d90b73ffb21428b594 | [] | no_license | https://github.com/hypnguyen1209/infosec-algorithm | af4552da0e937135e41e54538fa35807a989edb7 | 9b9a0b091cf1a2296cede4befcee625671ac5d98 | refs/heads/main | 2023-07-02T12:41:26.696442 | 2021-08-16T09:49:17 | 2021-08-16T09:49:17 | 364,528,414 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import math
a = 123456
W = 8
p = 2147483647
def solve(a, W, p):
result = []
m = round(math.log2(p))
t = round(m/W)
n = [pow(2, i*W) for i in range(t)]
for i in n[::-1]:
result.append(math.floor(a/i))
a = a%i
return result
if __name__ == "__main__":
print(solve(a, W, p)) | UTF-8 | Python | false | false | 301 | py | 32 | a.py | 31 | 0.524917 | 0.458472 | 0 | 18 | 14.833333 | 36 |
Ironman778/WebShell-C2 | 11,381,663,354,765 | a664157e42e52f2a89cb0e4572f38043d7fb07e5 | 5510fa4604cf9c72198c4cb590622ff22c8624a5 | /live_feedback_(OldVersion).py | 741e14cef580fe9956de2a36c6adabebc64908d6 | [
"MIT"
] | permissive | https://github.com/Ironman778/WebShell-C2 | 028e351509a046f82774fb5066b6a370cd8bb4e6 | 5ed781b2797054f7c031191a238618a3cf441750 | refs/heads/main | 2023-08-24T18:33:53.822209 | 2021-11-03T13:57:18 | 2021-11-03T13:57:18 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import time
import glob
session = input("Session ID :")
if session not in glob.glob("./data/*.*"):
with open(f"./data/{session}",'a') as file:
file.write('')
previous = ""
while True:
with open(f"./data/{session}",'r') as file:
data = file.read()
if data!=previous:
previ... | UTF-8 | Python | false | false | 377 | py | 22 | live_feedback_(OldVersion).py | 10 | 0.551724 | 0.549072 | 0 | 19 | 18.842105 | 47 |
pulumi/pulumi-aws-native | 6,760,278,539,705 | db694e00dec7014e2d820026bf831bf36ff33c4e | 5a74500be5b851f1efd999778088fb228ffa75b2 | /sdk/python/pulumi_aws_native/configuration/get_configuration_recorder.py | 08bacf4d61bc34268fd7eebc68ae9c405a06f1cc | [
"Apache-2.0"
] | permissive | https://github.com/pulumi/pulumi-aws-native | d0031db61fba441d62e83f14a1503093dcabbd5a | 360bc11ff2538e17bacfb34c512cd1b34ef7ba50 | refs/heads/master | 2023-08-16T04:46:09.356539 | 2023-08-10T06:13:07 | 2023-08-10T06:13:07 | 219,575,168 | 68 | 13 | Apache-2.0 | false | 2023-09-14T12:47:08 | 2019-11-04T19:00:32 | 2023-09-08T08:20:52 | 2023-09-14T12:47:07 | 174,365 | 70 | 12 | 111 | Go | false | false | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import copy
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _ut... | UTF-8 | Python | false | false | 3,096 | py | 13,355 | get_configuration_recorder.py | 6,362 | 0.666667 | 0.666344 | 0 | 82 | 36.756098 | 151 |
AlexG31/EcgDiagnosis | 11,836,929,879,787 | 06fc69d38fed30deb9f9b476d857d3b8bd302ac7 | 9feaa24ec54d39270d87bb0039dc106aedf12709 | /mcmc/hermit_model.py | 2f1c53a3876b5e8d00c3a00fb702b0ecab49676f | [] | no_license | https://github.com/AlexG31/EcgDiagnosis | 65cb4a98aa1da1db916744e867e28bedf55bdf19 | 16b1c81351957393f27675e5eaea4920be787e28 | refs/heads/master | 2021-01-12T02:46:26.899927 | 2017-01-20T09:55:16 | 2017-01-20T09:55:16 | 78,096,065 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #encoding:utf8
# MCMC Model
import os
import sys
import pymc
import matplotlib.pyplot as plt
import scipy.signal as signal
from pymc import DiscreteUniform, Exponential, deterministic, Poisson, Uniform
import numpy as np
import json
# Load ECG segment array
with open('./segment.json', 'r') as fin:
raw_sig = json.... | UTF-8 | Python | false | false | 2,543 | py | 23 | hermit_model.py | 20 | 0.577271 | 0.529296 | 0 | 113 | 21.504425 | 95 |
PantherPrg/Rollercoaster_Height | 18,382,460,052,989 | 78198715a5a08a23b7ad73fdbcd6bf5bf3cf3f94 | 3bbffa332419f35ed617d79cc9d46160b75cbe6d | /TestCases/testCase3.py | 6de6b77fa81a2722fec625a5c567eede2b926228 | [] | no_license | https://github.com/PantherPrg/Rollercoaster_Height | d599a75e0c51960e174cea3915dd726de175b039 | a835dfca6cf45c17cee52cf5317f75b97a82872e | refs/heads/main | 2023-03-30T18:00:29.210400 | 2021-03-30T05:58:01 | 2021-03-30T05:58:01 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | 70
Sidney 64
Carlin 69
Oldra 59
Alvy 63
Gael 59
Harlea 67
Luba 66
Brooke 62 | UTF-8 | Python | false | false | 75 | py | 8 | testCase3.py | 7 | 0.786667 | 0.546667 | 0 | 9 | 7.444444 | 9 |
xieqiumei/data_analysis | 120,259,117,519 | fae403f1b9ab28b954b1c31ecac8ce6083f4ceb8 | 1a3e6deed6002bb4a0cb832edb743a8a566ce33f | /feature_analysis/model_analysis.py | efb8b41111ea98f01f2dce4e489c5293101a3782 | [] | no_license | https://github.com/xieqiumei/data_analysis | 7bc2157cfaa4e91b41effb58ff35c3bca0ba92e2 | 208fe84aad98f0ae834020aacbc3f5a21d1b8a50 | refs/heads/master | 2023-05-30T21:20:44.033699 | 2021-06-28T00:32:15 | 2021-06-28T00:32:15 | 380,514,178 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!D:/Code/python
# -*- coding: utf-8 -*-
# @File:model_analysis.py
# @Software:PyCharm
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.svm import SVR
from sklearn.metrics import r2_score # 要注意预测评估函数，有回归和分类之分
from... | UTF-8 | Python | false | false | 11,415 | py | 16 | model_analysis.py | 15 | 0.59524 | 0.584052 | 0 | 298 | 34.392617 | 119 |
zodiac/competitive-programming | 1,769,526,567,929 | df9b2b798639a0479384bc379cf17c66edcc2f41 | 7da5ffee8fe9722fd06d28757dd5dfc57d2806ac | /codeforces/E99/C/C.py | 4c2ad6b9cb6d505b3b7190867e96e49760d7428a | [] | no_license | https://github.com/zodiac/competitive-programming | 1609aa8bc3ab69894eecad45f2ce9d798ddd6d92 | a35a2c0a10b5f2b0cd4a2cfa5926b6ebf5bff03f | refs/heads/master | 2020-12-29T02:49:36.244457 | 2020-12-28T14:34:40 | 2020-12-28T14:34:40 | 1,388,667 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!/usr/bin/env pypy3
T = int(input())
for _ in range(T):
x, y = input().split()
x = int(x)
y = int(y)
print(x-1, y)
| UTF-8 | Python | false | false | 121 | py | 832 | C.py | 811 | 0.528926 | 0.512397 | 0 | 8 | 14.125 | 23 |
janion/CARMA | 16,716,012,723,377 | 8e15fa82325d735cc5fa1fec7aa02f05f86171cf | 41e42c52e502e67ea06fcf66b7bf1acb1bd30be7 | /CARMA/src/backend/event/events/CheckSignalEvent.py | 50c30ca1264eb076f596ab73d56b698d00ca6aae | [] | no_license | https://github.com/janion/CARMA | 2e7840d9f55df0cccd0004e3a4a182a341f8fbf0 | 55bfafc2465371e2b0e37deda5a955e47d202270 | refs/heads/master | 2021-01-10T23:16:27.224636 | 2016-10-03T17:52:03 | 2016-10-03T17:52:03 | 70,622,618 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | '''
Created on 27 Sep 2016
@author: Janion
'''
class CheckSignalEvent():
'''
Event which relates to a train needing to check a signal.
'''
CODE = "C"
def __init__(self, sectionName):
'''
Constructor
'''
self.entityName = sectionName
#######... | UTF-8 | Python | false | false | 819 | py | 17 | CheckSignalEvent.py | 16 | 0.373626 | 0.365079 | 0 | 35 | 21.285714 | 80 |
SLLittrell/GameRater-server | 1,133,871,392,209 | 719636f364a112f4890d7746305d3ed0af289d9e | 15ae6080ac1ba504ec2c19dd02edc6ac585e13cb | /raterprojectapi/views/game.py | 729dae9aecf94f0625a3d43e312e7cdacb2e9709 | [] | no_license | https://github.com/SLLittrell/GameRater-server | 1d824df4d662567a944c2697c43e1a890af6ad1d | dbd55ab096408b738ade7c3407ad71bdcbd7a541 | refs/heads/main | 2023-05-09T00:24:43.183349 | 2021-05-26T19:05:03 | 2021-05-26T19:05:03 | 364,363,110 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null |
from django.core.exceptions import ValidationError
from rest_framework import status
from django.http import HttpResponseServerError
from rest_framework.viewsets import ViewSet
from rest_framework.response import Response
from rest_framework import serializers
from rest_framework import status
from raterprojectapi.mod... | UTF-8 | Python | false | false | 3,320 | py | 15 | game.py | 13 | 0.636747 | 0.629518 | 0 | 98 | 32.867347 | 147 |
darkoob12/POSTagger | 14,439,680,077,343 | d01a8bf21c7e5ae11c7e04d016e3c0554ab30544 | 08c7d5fadbfce44166f29d23fe8734e7e87c6094 | /program.py | c7097067b2e94a459228bce6238c3b5e846559cc | [] | no_license | https://github.com/darkoob12/POSTagger | 0ae08cf0fcd3ecbe6c1ad42e31a56b4c7158e933 | 8de77008f28661a1e7d600dae9ab2e859da1d424 | refs/heads/master | 2021-01-16T17:36:53.901293 | 2017-08-11T08:10:53 | 2017-08-11T08:10:53 | 100,008,605 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from POSTagger import *
import time
import random
def read_data(path):
""" str -> list
loads data from a csv file
removes redundant info
:param path:
:return: list of sentences
"""
data = []
with open(path, 'r') as f:
sentence = []
for line in f:
a = line.sp... | UTF-8 | Python | false | false | 3,498 | py | 3 | program.py | 2 | 0.534019 | 0.520011 | 0 | 139 | 24.165468 | 99 |
Ashyaa/aoc2020 | 6,657,199,332,578 | fdeda4671d22fb88224d67b201b1c1c7918d9a36 | e03c4147acf427ef26b73ad2c26e7a0fcb5f8de4 | /2021/day20/solution.py | 40e4764a267f69d5662e8871adaafa61be9ac517 | [] | no_license | https://github.com/Ashyaa/aoc2020 | 22b5051d3e77155b93e54df553c852d60f3f4767 | 844548cd99050f5227bd17ef13b88286cdce60a4 | refs/heads/main | 2023-02-21T04:30:05.618050 | 2022-12-25T09:21:41 | 2022-12-25T09:21:41 | 318,306,558 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!/usr/bin/env python3
import contextlib
from pathlib import Path
from typing import *
import numpy as np
from AoC.util import show
CWD = Path(__file__).parent
def read_input(filename: str = "input.txt") -> Tuple[str, np.ndarray]:
input_file = CWD.joinpath(filename)
with open(input_file, "r") as reader:
... | UTF-8 | Python | false | false | 1,708 | py | 126 | solution.py | 123 | 0.556206 | 0.528103 | 0 | 60 | 27.466667 | 73 |
YANH216/myweb | 16,475,494,591,582 | 84d9db9b1020fc3b752906969d549354267a6703 | 95913618293ab052c7f75fe0411adae8379c4c3a | /SitesApp/migrations/0003_auto_20180605_1307.py | 9bac1c31b74b0342ca7c195acde009b4d94d1477 | [] | no_license | https://github.com/YANH216/myweb | 6553f9028c8e23fe57c9988fb94e2c88f5b44886 | c24600a99e0e6c3c1266251c2f6f18caed17f83c | refs/heads/master | 2023-06-27T03:18:13.718437 | 2021-07-29T09:19:28 | 2021-07-29T09:19:28 | 390,667,214 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.7 on 2018-06-05 05:07
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('SitesApp', '0002_auto_20180605_1128'),
]
operations = [
migrations.AlterFie... | UTF-8 | Python | false | false | 680 | py | 45 | 0003_auto_20180605_1307.py | 28 | 0.591176 | 0.536765 | 0 | 25 | 26.2 | 87 |
larsbak/fletch | 8,624,294,346,937 | ce4922248d60fbd850cf516c699aa8d31fd3100b | 4fffc216d36563b5db4a5ef230d95b6bda3be0e4 | /src/vm/vm.gyp | 6262c463f1339822da528907eb156cf599a81a51 | [
"BSD-3-Clause"
] | permissive | https://github.com/larsbak/fletch | e18ec6cdfe306f75553638433109a2549b589c7a | 6ca18fb7c55f052ef5537c650025811434b9a323 | refs/heads/master | 2018-05-19T05:37:25.789701 | 2015-01-29T11:19:50 | 2015-01-29T11:19:50 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # Copyright (c) 2015, the Fletch project authors. Please see the AUTHORS file
# for details. All rights reserved. Use of this source code is governed by a
# BSD-style license that can be found in the LICENSE.md file.
{
'target_defaults': {
'include_dirs': [
'../../',
],
'actions': [
{
... | UTF-8 | Python | false | false | 3,846 | gyp | 58 | vm.gyp | 26 | 0.471659 | 0.468539 | 0 | 147 | 25.163265 | 79 |
LuisHVieira/valorant_games | 11,269,994,186,642 | 1fbde5dfabbc5a903b62e336d4dcf1a817572e06 | d054c44279a959f03fc76147f4dde75b20dd5f6a | /datasValorant.py | 0710f807c0d508a259d9b0c3fbbadd6e800b4c9f | [] | no_license | https://github.com/LuisHVieira/valorant_games | 03f5991083a3d0394f1acd072be3cfb13d634172 | 8e8af388a607ff4c76aede1c7d52b7aed549097e | refs/heads/master | 2023-08-15T03:23:25.527484 | 2021-09-30T23:54:14 | 2021-09-30T23:54:14 | 411,813,213 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import requests
import json
import datetime
import embeds as e
import discord
def get_games_today():
#Get current date and convert from string
today = datetime.datetime.now()
year = str(today.year)
month = str(today.month) if today.month >= 10 else '0' + str(today.month)
day = str(today.day) if today.day >= 10 e... | UTF-8 | Python | false | false | 1,701 | py | 7 | datasValorant.py | 3 | 0.673721 | 0.628454 | 0 | 65 | 25.153846 | 211 |
chaitualuru/algorithms | 10,196,252,397,575 | aa80d07c26f450f42b4189a9755446298101607c | 19241f750f9bef7f2d8529bb6d3096eea46d83b5 | /eip/sudoku_checker.py | 095fbd59f128f3ccad973e90e379edb20854d63e | [] | no_license | https://github.com/chaitualuru/algorithms | ad372146dc9a286963131a59889ee5c83445db17 | af58921e23f9c97650f87bfadbdeac51f433a249 | refs/heads/master | 2022-07-12T03:58:25.129841 | 2015-08-31T06:00:33 | 2015-08-31T06:00:33 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | """Sudoku Checker"""
def sudoku_checker(A):
for i in range(len(A)):
if not valid_line(A[i]):
return False
unzipped_A = list(zip(*A))
for j in range(len(unzipped_A)):
if not valid_line(unzipped_A[j]):
return False
for k in range(0, len(A), 3):
for l in range(0, len(A), 3):
grid = []
for x in A[k... | UTF-8 | Python | false | false | 875 | py | 57 | sudoku_checker.py | 57 | 0.544 | 0.443429 | 0 | 45 | 18.444444 | 56 |
moskalikbogdan/CDV | 5,257,039,992,144 | 1241c1a272387bd5034d0044af2b2351952cd4b6 | a9d4ba71e1c847e0f4a7f26d76ee1fb6c08f8c76 | /Python/Warsztaty/Week02/W02.Z04.2.py | ddfae2e158abb6e57bcba39f1739d0a711780b19 | [] | no_license | https://github.com/moskalikbogdan/CDV | 569c257b779e14c42fe9e1ff19cfd105bb624afb | 90d14a597e66f9e5902ecf2b103baf737ed0e4ea | refs/heads/master | 2020-12-15T01:42:18.842169 | 2020-07-13T00:40:20 | 2020-07-13T00:40:20 | 234,949,055 | 0 | 1 | null | false | 2020-02-09T08:30:12 | 2020-01-19T18:55:48 | 2020-01-21T15:38:26 | 2020-02-09T08:29:32 | 17 | 0 | 0 | 1 | Python | false | false | """
@author: Bogdan Moskalik,
DataScience,
Niestacjonarne,
Grupa 2
"""
import numpy as np
print('''Policzę srednią i odchylenie standardowe z listy którą wprowadzisz
Z ilu elementów ma się składać lista?:
''')
a = int(input())
print('''Wprowadź pojedyńczo elementy twojej listy:''')
x = []
for i in rang... | UTF-8 | Python | false | false | 531 | py | 43 | W02.Z04.2.py | 36 | 0.684008 | 0.676301 | 0 | 25 | 19.8 | 75 |
m-nosrati/springboard-course | 7,610,682,086,991 | be8e030dbfe6707ba2b450fc7a4d679a8f959f68 | ff986f9509dbdbe843c223f630a82e80e9dbfebc | /machine-learning/naive_bayes/src/naive_bayes.py | 125630359e284d4f2b44167a2543df0d39046f5d | [] | no_license | https://github.com/m-nosrati/springboard-course | 65ce414411525ac49c3bd36e0da00164af75b153 | bd7da238f32bcf6d5716984dab6e887c90ac94ad | refs/heads/master | 2022-02-27T05:55:31.642308 | 2019-08-13T02:06:51 | 2019-08-13T02:06:51 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #%% [markdown]
# # Basic Text Classification with Naive Bayes submitted by Ahrim Han (2019/3/25)
# ***
# In the mini-project, you'll learn the basics of text analysis using a subset of movie reviews from the rotten tomatoes database. You'll also use a fundamental technique in Bayesian inference, called Naive Bayes. Thi... | UTF-8 | Python | false | false | 25,840 | py | 19 | naive_bayes.py | 5 | 0.713235 | 0.70209 | 0 | 508 | 49.862205 | 857 |
noltron000/CS-1-2_tweet-generator | 5,609,227,289,814 | 77f8235f455e91f8d95a896cd589b58597305a5d | 0c0712ff1c7a06bf75dcc9fbfdac8d6d3b8df876 | /misc/prefactored.py | 10f81c92eacee63b7e195570f07a08ce4cff19d1 | [] | no_license | https://github.com/noltron000/CS-1-2_tweet-generator | fde70ce31188e2143cda06824292218d0adf527e | 11c1afcf81632aa453818e2320937b9854891fa7 | refs/heads/master | 2020-04-05T09:12:06.165258 | 2019-04-14T20:26:16 | 2019-04-14T20:26:16 | 154,562,627 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from flask import Flask
app = Flask(__name__)
import urllib.request # imports internet textfile reader
import random # psuedo-random number generator module
import sys # module allows program to access terminal parameters
import re # the powerful "regular expression" for decompartimentalizing strings
def dictionary_m... | UTF-8 | Python | false | false | 8,304 | py | 12 | prefactored.py | 10 | 0.678675 | 0.674337 | 0 | 305 | 26.216393 | 135 |
State-Representation/code | 3,298,534,887,485 | 6ddbedf7fa2f86e63527bc4ab206c8b8bcc1c3c8 | 566aabb186fc6950959240202b7db596a64fec4a | /algorithms/AE_Algorithm.py | 5d0cbaa14c70dbe0500e008b7633326d344c3378 | [] | no_license | https://github.com/State-Representation/code | 3393c34a831c209f9d89793543b3a56e4d1fb18a | 88c8e80a491db56204e3b9211ae10aa87d661178 | refs/heads/main | 2023-07-24T22:52:03.918718 | 2021-09-07T15:14:55 | 2021-09-07T15:14:55 | 399,847,904 | 2 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# State Representation Learning with Task-Irrelevant Factors of Variation in Robotics
# Anonymous Authors 2021
import numpy as np
import matplotlib
matplotlib.use('Agg') # Must be before importing matplotlib.pyplot or pylab!
import matplotlib.pyplot as plt
import torch
im... | UTF-8 | Python | false | false | 20,883 | py | 17 | AE_Algorithm.py | 15 | 0.557918 | 0.549011 | 0 | 501 | 40.676647 | 124 |
StevenClontz/mathematics-of-data | 1,288,490,210,696 | 5e8b15b9788d0904d6c638fa2c4d9e302d246203 | e9cf8a5b25f6e22d2b13b4e557f0fb5adb16d7ce | /source/files/measurements-spread-deviations.py | 083dec31359cdda2ec9066c94a76d8eb5a92c301 | [
"MIT"
] | permissive | https://github.com/StevenClontz/mathematics-of-data | fe0a910fcd4b99c0bc8dff43c20f8085e5fdade9 | dd35724cafd4f7581ade5358828332f7e9fcb6b3 | refs/heads/main | 2023-04-04T11:05:00.228022 | 2022-06-15T21:05:38 | 2022-06-15T21:05:38 | 267,642,578 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | data_one = [] # fill in values from first dataset
data_two = [] # fill in this too
# if means are different, data was entered incorrectly
from statistics import mean
assert mean(data_one) == mean(data_two), "Means should be the same"
print("The mean for each dataset is FIXME") # print out the mean of the datasets
dev... | UTF-8 | Python | false | false | 598 | py | 562 | measurements-spread-deviations.py | 24 | 0.688963 | 0.66388 | 0 | 15 | 38.933333 | 80 |
wayabi/bvh2nn_data__q2e | 12,524,124,669,126 | bf52fba0b6f5a13fac06a1a9604d3594e1cae6be | ee8f2d1a738528c8ae300a50b0861e0fedebf551 | /pandas3Dscatter.py | e62b08b28d53f2bde1562b855750f769f4da2341 | [] | no_license | https://github.com/wayabi/bvh2nn_data__q2e | 1a612b9ef4897c6d9d55a28887661d43c71b76fb | 2ec84e4d71166b19a19f2a6c806718fd2452d658 | refs/heads/master | 2020-03-22T19:02:19.190245 | 2018-07-11T00:10:17 | 2018-07-11T00:10:17 | 140,499,741 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import pandas as pd
from pandas import DataFrame
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
df = pd.read_csv('~/a', parse_dates=True)
#print(df.head())
#df['H-L'] = df.High - df.Low
#df['100MA'] = pd.rolling_mean(df['Close'], 100)
threedee = plt.figure().gca(projection='3d')
threedee.scat... | UTF-8 | Python | false | false | 437 | py | 9 | pandas3Dscatter.py | 8 | 0.688787 | 0.668192 | 0 | 16 | 26.3125 | 48 |
mesonbuild/meson | 15,195,594,324,002 | 8c855c54f7660368ed011739de7e60f3e7ff6054 | 85ccd32aa73eecf274a937f1fc3b6f4d484b77da | /test cases/common/262 generator chain/stage2.py | 7f82592a1efe5f47c09cdff8a731e74087c2d87d | [
"Apache-2.0"
] | permissive | https://github.com/mesonbuild/meson | 48321cf4235dfcc0194fed90ff43a57367592bf7 | cf5adf0c646474f0259d123fad60ca5ed38ec891 | refs/heads/master | 2023-09-01T05:58:50.807952 | 2023-03-17T20:27:37 | 2023-08-31T11:52:41 | 19,784,232 | 5,122 | 1,848 | Apache-2.0 | false | 2023-09-14T15:47:23 | 2014-05-14T15:08:16 | 2023-09-14T09:59:12 | 2023-09-14T15:47:22 | 40,706 | 4,875 | 1,436 | 2,172 | Python | false | false | #!/usr/bin/env python3
import sys
from pathlib import Path
assert(Path(sys.argv[1]).read_text() == 'stage2\n')
Path(sys.argv[2]).write_text('int main(void){}\n')
| UTF-8 | Python | false | false | 163 | py | 3,350 | stage2.py | 683 | 0.687117 | 0.662577 | 0 | 6 | 26.166667 | 51 |
ulucsahin/Thesis | 16,879,221,485,506 | c1450d0d58662a515250e9b45b338041218f17c4 | 00e256c739659169972fca251a3611d137c913a4 | /annotation_manager.py | d0fd267cd8abb24265a4e0e222a1cd8ede71ca4f | [] | no_license | https://github.com/ulucsahin/Thesis | 3a5378a0f5b5e526c199dae7c4d72ef3330bd573 | 0f9b85b3ac7284174a011e619fdd6f6e3971360c | refs/heads/master | 2023-03-14T20:58:43.282707 | 2021-03-14T12:41:41 | 2021-03-14T12:41:41 | 243,502,559 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from random import randint
# Annotation indexes
bald = 4
bangs = 5
black_hair = 8
blond_hair = 9
brown_hair = 11
gray_hair = 17
receding_hairline = 28
straight_hair = 32
wavy_hair = 33
# gender and beard
goatee = 16
male = 20
mustache = 22
no_beard = 24
sideburns = 34
# face
chubby = 13
high_cheekbones = 19
oval_fac... | UTF-8 | Python | false | false | 6,550 | py | 15 | annotation_manager.py | 12 | 0.540153 | 0.519847 | 0 | 308 | 20.266234 | 116 |
pardusnimr/adelscrapper | 2,723,009,266,699 | 7585f0f8451324cdbc6807bb71226fcd7d5f6a5f | fcb5b41c20330ae17093d5449f209d113b2a1775 | /wed2.py | 51e5d2ab8e7649f4ced88765488a0c60c6ed03ba | [] | no_license | https://github.com/pardusnimr/adelscrapper | 0c520650881b2dd05d1cd79265065dd708a769bd | 83c66ba82cf6c058cd4e6febc33a70012fb39dc4 | refs/heads/master | 2021-01-10T05:25:07.229791 | 2015-12-09T20:33:30 | 2015-12-09T20:33:30 | 47,716,780 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # coding: utf-8
import lxml.html
import pymongo
client = pymongo.MongoClient("mongodb://nimr:d7hero@ds041871.mongolab.com:41871/adel")
db = client['adel']
f = open('allrabea2.html')
ff = f.read()
doc = lxml.html.document_fromstring(ff)
region = ''
city = ''
district = ''
scheme = ''
land = ''
deal = ''
deal_price... | UTF-8 | Python | false | false | 1,526 | py | 78 | wed2.py | 5 | 0.543906 | 0.517693 | 0 | 56 | 26.089286 | 86 |
cho-jae-seong/Algorithm | 798,863,933,104 | 99dbc7e94cb5a714ff1c19d5d9bc3e240e4b05d1 | 6feda26060cfc9f79a98acdedc8ef4bd82bf0587 | /BOJ17140.py | 288582525c2c43ac445712f9f9b4d16524acda4d | [] | no_license | https://github.com/cho-jae-seong/Algorithm | 1ff188ec1dbba370af6cfbf0186728ab536930b6 | 436dadb8be5c308c276562de53a7f4bf25d03bfa | refs/heads/master | 2023-07-04T04:27:33.741983 | 2021-08-10T10:12:04 | 2021-08-10T10:12:04 | 260,405,007 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import sys
from collections import Counter
from functools import reduce
def R(array):
mx=0
for i in range(len(array)):
X=Counter(array[i])
del X[0]
X=list(X.items())
X.sort(key=lambda x: (x[1],x[0]))
if len(X)>50:
X=X[:50]
array[i]=reduce... | UTF-8 | Python | false | false | 1,086 | py | 123 | BOJ17140.py | 123 | 0.486188 | 0.461326 | 0 | 43 | 23.255814 | 72 |
fattredd/fattredd.github.io | 16,621,523,470,920 | 0b2ad160523e9b476f4f943353278d81f4b705fb | f1fed01b75e8968a1bf1ab194a12b2c3ad7ccb95 | /py/textOffset.py | 9f36744b36ed7d5cb9ad4d9953f0838d932cb2da | [] | no_license | https://github.com/fattredd/fattredd.github.io | c0553f938df005b822b3640cdc56d6c0bb453c8c | d45da47ae3a2f5f40848b89f47b97e6127996d48 | refs/heads/master | 2021-01-19T21:28:11.700195 | 2019-05-13T14:11:28 | 2019-05-13T14:11:28 | 21,010,252 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import msvcrt as m
import time
alpha = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
def wait():
key = m.getch()
def offsetStr(string, num=1):
out = '' #23
for x in string:
if x in alpha:
newNum = ord(x)-65+num
if newNum > 25:
newNum = newNum%26
elif newNum < 0:
newNum += 26
out += chr(newNum+65)
else:
o... | UTF-8 | Python | false | false | 721 | py | 71 | textOffset.py | 60 | 0.613037 | 0.590846 | 0 | 42 | 16.190476 | 36 |
raulastu/Algorithm-Competitions-EWS | 19,224,273,620,446 | 9e21c959008307071eb15529af013301085bc6d9 | fc4897c00ad5a6a641e12e4affe374d686ae7714 | /coderperu/Round13/D.py | c2565b3875920ac9f34256e178908044246de2fa | [] | no_license | https://github.com/raulastu/Algorithm-Competitions-EWS | b651c0af684b7e4a1afc7cfabdc6fd9d1dc8e45d | 07801fe774778dc5c81682f6a893f97a79ed4022 | refs/heads/master | 2020-04-10T12:18:50.923422 | 2015-08-31T01:45:15 | 2015-08-31T01:45:15 | 7,485,600 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import sys
sys.stdin = open("D.in", "r")
def expo(a, b, MOD):
if (b==1):
return a%MOD;
if (b==2):
return (a*a)%MOD;
if (b%2==0):
return expo(expo(a%MOD,b/2,MOD),2,MOD)%MOD
else:
return a*expo(expo(a%MOD,(b-1)/2,MOD),2,MOD)%MOD;
def solve():
A = raw_inp... | UTF-8 | Python | false | false | 1,276 | py | 324 | D.py | 286 | 0.418495 | 0.359718 | 0 | 69 | 17.507246 | 58 |
eqiihuu/EE512 | 9,577,777,106,043 | 1b09bd7c3831b1f01408ec4f9ce8124e76bd73f2 | a8f778fed3e42cad4554c57ad607c19d10fbc697 | /EE512-graphical-model-master/test.py | a0e42ae50f71d4dfe58d3c29c225fd88b799a41a | [] | no_license | https://github.com/eqiihuu/EE512 | 75b38842979aaae2b90e218a57eaa0c97a7b7183 | 0ce92f60f6e2a7e212ced7fc30bf988d81faf223 | refs/heads/master | 2021-08-28T03:34:42.352695 | 2017-12-05T11:45:11 | 2017-12-05T11:45:11 | 113,174,681 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import exact_inference as EI
from read_data import read_uai
#from node_clique import Node, Clique, Graph, Junction_tree_cloud
graph = read_uai("../data/test.uai")
for clique in graph.cliques:
print("-------------------")
for node in clique.nodes:
print(node.index)
EI.min_fill(graph)
for node in graph... | UTF-8 | Python | false | false | 602 | py | 5 | test.py | 4 | 0.652824 | 0.649502 | 0 | 24 | 24.083333 | 65 |
beverast/LS-DS-Unit-CS | 4,947,802,351,867 | 9ae6cda83b6790e6395ad57070494ffb32de8775 | 623fa21c3e24373d3e90f7f40a2cef983a32a6b5 | /Whiteboard-Lectures/skip_list.py | 8df9b745930cc074f51c86e20fb22f18b3678bd1 | [] | no_license | https://github.com/beverast/LS-DS-Unit-CS | 4c138ba427c87e9ef753512362d8814acc6aba16 | e0fb759da5ffa49aa5a04e267bb150d00db119e2 | refs/heads/master | 2023-05-29T22:47:10.151353 | 2020-05-16T19:00:58 | 2020-05-16T19:00:58 | 264,509,235 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # Skip list: probabilistic data structure based on the Linked list
# Description of a skip list: https://brilliant.org/wiki/skip-lists/
class SkipNode(object):
def __init__(self, elem=None):
self.elem = elem
# 'Square' representation (not list, station-like representation)
self.prev = Non... | UTF-8 | Python | false | false | 2,195 | py | 20 | skip_list.py | 17 | 0.560364 | 0.556264 | 0 | 61 | 34.983607 | 80 |
abhusnurmath/rando | 15,470,472,227,060 | 32000b9ec633b8ae10abff2854ce83813fb4b0ac | a6df3ca677cb301ae67220d1a2bec37f5045d270 | /cit590Examples/fancySort.py | 501c66aca4a36a1659d160958626deaf33bbe827 | [] | no_license | https://github.com/abhusnurmath/rando | 53c6fdf5ef8ecbe8440c09acb79636db7f0bbd42 | 84260a35399d983ed0154a5e004cadd970d2be6a | refs/heads/master | 2020-05-19T11:07:09.372441 | 2015-02-21T01:35:25 | 2015-02-21T01:35:25 | 2,403,652 | 7 | 10 | null | false | 2015-01-25T02:02:12 | 2011-09-17T05:34:24 | 2015-01-24T02:43:10 | 2015-01-24T02:43:10 | 651 | 14 | 14 | 1 | Java | null | null | def compareBasedOnLastComponent(x,y):
if x[-1] < y[-1]: return -1
elif x[-1] == y[-1]: return 0
return 1
data = [['arv','Penn', 33], ['fed', 'West Point', 45],
['Ben', 'Cornell', 25], ['Steven', 'UVA', 24]]
| UTF-8 | Python | false | false | 233 | py | 153 | fancySort.py | 153 | 0.502146 | 0.437768 | 0 | 7 | 31.571429 | 54 |
santiago-dc/MyLearningPath | 18,030,272,713,282 | 7f502f1af7de2e13253bdc93805f3e428b45e9dd | acc7d1568e286afeae2841b218761943ae9e21ba | /skin_cancer/.ipynb_checkpoints/CNN_dataset2-checkpoint.py | cca594931a63a4d3befe3df9b594070cc259510c | [] | no_license | https://github.com/santiago-dc/MyLearningPath | b0b826397b185855492fdbf793cc26232dfb06d8 | 414809a1770cc58d66c132bafe4eb2c75e83e99d | refs/heads/master | 2021-09-11T12:05:17.503457 | 2021-09-07T17:03:26 | 2021-09-07T17:03:26 | 241,696,158 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import numpy as np
import pandas as pd
from PIL import Image
import os
import glob
import matplotlib.pyplot as plt
from keras.utils.np_utils import to_categorical
import tensorflow as tf
np.random.seed(5)
benign_train_folder = 'data/melanoma/DermMel/train/NotMelanoma'
malignant_train_folder = 'data/melanoma/DermMel/tr... | UTF-8 | Python | false | false | 4,839 | py | 46 | CNN_dataset2-checkpoint.py | 6 | 0.704691 | 0.66708 | 0 | 145 | 32.372414 | 108 |
yamini94/imdb | 6,975,026,891,233 | 793e3b215c83227c4228f998ce76ffb8a07721c4 | f7ea2b73e87508ae9a145d79752d0251c362c6ab | /movie/documents.py | c9780389bc7a1494611c42797a2e9cd99ae1e506 | [] | no_license | https://github.com/yamini94/imdb | ec730d4a04c266e71ca8d9e01edffe99506daef4 | 66e341675f5c1976d9f44378be179751e9169d98 | refs/heads/master | 2022-12-10T10:17:11.509859 | 2020-08-28T03:11:20 | 2020-08-28T03:11:20 | 290,918,417 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from django_elasticsearch_dsl import Document
from django_elasticsearch_dsl.registries import registry
from .models import Imdb,Genre
from elasticsearch_dsl import Index
from django_elasticsearch_dsl import Document, fields
# @registry.register_document
imdb_index = Index('imdb')
@registry.register_document
@imdb_ind... | UTF-8 | Python | false | false | 1,148 | py | 15 | documents.py | 13 | 0.621951 | 0.620209 | 0 | 51 | 21.470588 | 56 |
ChinaChenp/Knowledge | 4,956,392,282,476 | 7adb242787d6d0c807ff3953c1a387a2b2def07f | 5e3fb85de7caa7e9529114e97a992f1f88067d6c | /interview/interview_python/jianzhioffer2/16.py | 02935955e68e34bcc942e9fdd00ea01bbb4d38d5 | [] | no_license | https://github.com/ChinaChenp/Knowledge | ad3f0b290fadf18b1a4be11246041efa81736df7 | 64bb5286856ad5c01e682fc5e93477c6aa7299b9 | refs/heads/master | 2021-06-05T03:13:32.071326 | 2019-12-25T10:45:51 | 2019-12-25T10:45:51 | 45,509,734 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # 数的N次方
def Power(base, exp):
# 0的n次方没有意义，0的-n求倒数会出错
if base >= -1e-9 and base <= 1e-9 and exp < 0:
return 0.0
# 次方为负数要用正数n次方求倒数
abs_exp = abs(exp)
# 计算次方
re = 1.0
for _ in range(0, abs_exp):
re *= base
# 次方为负数要求倒数
if exp < 0:
return 1.0 / re
... | UTF-8 | Python | false | false | 522 | py | 368 | 16.py | 300 | 0.518605 | 0.460465 | 0 | 26 | 15.538462 | 50 |
tomaxh/todo | 10,161,892,646,172 | 2a3a550063bb199e8a875e22dcb7ec4a8277ba4c | be00691fd152502981c6a221d4636db0a0b93e7e | /backend/src/articles/admin.py | b563cb1b766d3b4bde410aa1420b0957a2f97342 | [] | no_license | https://github.com/tomaxh/todo | 8ca34e9200e114753a671ea391c3d7ee0dfdb71a | 2c04aa272be6c3cd56bcd7edd8be287a01c31c12 | refs/heads/master | 2020-05-18T11:05:47.890825 | 2019-05-15T22:09:57 | 2019-05-15T22:09:57 | 184,369,447 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from django.contrib import admin
from .models import Todo
# Register your models he
admin.site.register(Todo) | UTF-8 | Python | false | false | 111 | py | 16 | admin.py | 12 | 0.801802 | 0.801802 | 0 | 5 | 21.4 | 32 |
codingEnzo/YunfangWork | 171,798,741,664 | bd47edb4791d1e62727386f35abfe4ff2434c2d0 | d7ade211dd818f9653c5a1de6edba343dff1514c | /developer_data_push/start_task.py | 288489272d9ec9b801cbf338d851d32e8e420703 | [] | no_license | https://github.com/codingEnzo/YunfangWork | ee6382feedd663d1906ff54f41988df814395444 | da6c3b622ea10e28802bcdead01d422a90784cb5 | refs/heads/master | 2017-09-10T02:45:10.013828 | 2017-08-25T03:36:44 | 2017-08-25T03:36:44 | 81,432,516 | 0 | 1 | null | false | 2017-03-23T12:29:25 | 2017-02-09T09:22:26 | 2017-02-09T09:49:47 | 2017-03-23T12:29:25 | 458 | 0 | 1 | 0 | HTML | null | null | #coding=utf-8
from __future__ import absolute_import
import sqlalchemy
import __builtin__
from db_orm import data_handle_instance,db_instance
from celery import Celery
from settings import *
from sqlalchemy import *
from sqlalchemy.orm import *
from sqlalchemy.ext.declarative import declarative_base
from task_env im... | UTF-8 | Python | false | false | 4,317 | py | 233 | start_task.py | 209 | 0.576789 | 0.566597 | 0 | 103 | 40.912621 | 165 |
HPCD/room-number-ocr | 3,272,765,127,997 | 918b26caaf578aead2bee87ced834a314b678b92 | 039370bec9ba63a49bc48d3f7e11463dc10da032 | /testpost.py | 468fb715578abaea06f6067cbe13989d741e23b9 | [] | no_license | https://github.com/HPCD/room-number-ocr | 96660b72e2a83a773de198de25d41ea0393c6fca | d7548c52a83351f8b056ae43e8459a70bf32b962 | refs/heads/master | 2023-03-24T22:43:20.236234 | 2021-03-19T03:08:26 | 2021-03-19T03:08:26 | 349,283,348 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!/usr/bin/env python
#-*- coding:utf-8 -*-
"""
@author:abner
@file:testpost.py
@ datetime:2020/8/26 16:45
@software: PyCharm
"""
import cv2
import base64
import requests
import unittest
from datetime import datetime
import json
import os
#内部测试地址
in_url_ip = "http://10.74.150.75:32666"
# 测试环境外部访问地址
# out_url_ip = "h... | UTF-8 | Python | false | false | 1,737 | py | 22 | testpost.py | 14 | 0.591751 | 0.529588 | 0 | 69 | 23.246377 | 107 |
Ysnsn/python | 7,404,523,624,478 | 373ff21a836a36261f802c2e6c6e9419db7b8e7e | f89a96461b24dd448007ef221926dd83f5c54562 | /基本.py | 82af16231743c1b7f42a53d88404c9883d7e0bea | [] | no_license | https://github.com/Ysnsn/python | 4b34e96edbd21dfc255f3fcb0256cc23048dc994 | ccf6d4f3510d54724c7571ab22bd423d1e7c2d27 | refs/heads/master | 2023-01-04T13:28:24.013264 | 2020-08-04T02:59:47 | 2020-08-04T02:59:47 | 280,341,353 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | ls=[7,4,5,2,3,5,6]
print("列表为",end="")
print(ls)
print("列表长度为{}".format(len(ls)))
print("列表中有{}个5".format(ls.count(5)))
print(ls[1:5:2])
new=eval(input("请输入一个新的元素:"))
ls.append(new)
ls[3:5]=[11,12,13]
print("列表为",end="")
print(ls)
print("列表中的最大值为:{}".format(max(ls)))
print("列表中的最小值为:{}".format(min(ls)))
n=eval(i... | UTF-8 | Python | false | false | 568 | py | 36 | 基本.py | 33 | 0.639738 | 0.59607 | 0 | 29 | 14.793103 | 37 |
damc/TextEditor | 13,520,557,082,282 | 3bed9bc228d353edbf82aad2eb18ac1655f4615f | bfdf5da40942676f17300f48ece3348cf50a67dd | /text_editor/__init__.py | f903ce9bdaf80bda6f5eb89ebc0b7188a416e065 | [] | no_license | https://github.com/damc/TextEditor | c81209163a09900e14ab33065cc03391a4cf3ab3 | 5801b09f490a2845f9ffcb67beb8fc2a39d19e94 | refs/heads/master | 2023-07-03T17:58:07.829734 | 2021-02-19T13:58:29 | 2021-02-19T13:58:29 | 395,630,579 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from .text_editor import TextEditor | UTF-8 | Python | false | false | 35 | py | 6 | __init__.py | 5 | 0.857143 | 0.857143 | 0 | 1 | 35 | 35 |
OzupeSir/credit_card | 5,944,234,746,840 | 3ac2be34527b4b5a79671f5f93fcf151ce32b512 | 74ddde6c4d75e82761551190b3347bca38f9a90f | /credit_card/auto_bin.py | 9c4fe036c94e346563f99ed96a5a758b55034ea2 | [] | no_license | https://github.com/OzupeSir/credit_card | 551b5d1e84ce5ae9f7d89ac192a2024705f1bbcd | c7ff733629164d8050c286f3ba95cbfc031fe171 | refs/heads/master | 2020-07-26T20:56:23.394379 | 2019-09-25T12:08:56 | 2019-09-25T12:08:56 | 208,763,691 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # utf8
# Hsiaofei Tsien
import numpy as np
import pandas as pd
import scipy
class AutoBins:
def __init__(self, frame, y):
self._frame = frame.copy()
self._y = y
def _column_qcut(self, column,q):
# 进行初始化分箱，先分成 20 个箱体
_drop, bins = pd.qcut(self._frame[column], q=q, retbins=Tr... | UTF-8 | Python | false | false | 4,951 | py | 2 | auto_bin.py | 1 | 0.52143 | 0.501066 | 0 | 131 | 31.236641 | 97 |
nayamama/asycio-programming | 18,038,862,644,295 | 09d3e2131b1f4a97e4b8ec8e54b48859755f2a8a | 1ab21f43ee50952693c06711df296ebf41ec9699 | /thread_programming/os_processes.py | dd6534155f6b05a2aaae41b1903c269c4ea8f53a | [] | no_license | https://github.com/nayamama/asycio-programming | 17cc478fda383a7d68212b1095e2cc79d789df03 | fdc52a7bab97c95e1b50018ab16f4fc99c263eed | refs/heads/master | 2020-05-27T06:27:07.759152 | 2019-05-25T04:46:54 | 2019-05-25T04:46:54 | 188,520,641 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from multiprocessing import Process
from syc_programming import io_bound, cpu_bound, timeit
@timeit()
def multiprocessed(n_thread, func, *args):
pros = []
for _ in range(n_thread):
p = Process(target=func, args=args)
pros.append(p)
# start the process
for p in pros:
p.start()
... | UTF-8 | Python | false | false | 669 | py | 7 | os_processes.py | 6 | 0.572496 | 0.55157 | 0 | 30 | 21.333333 | 55 |
mobilase/python | 12,678,743,494,967 | f4a671d94d5442c60f91271df937eb9f2e0476a4 | 9c6382dec3012f29019d44619233293fbfc2125c | /08/01.py | 69798c23e721d25dc36959a71baab1a9f22f4805 | [] | no_license | https://github.com/mobilase/python | 7a56dd0d5fc63503aa4bad34d7ec677c5685eed7 | 5690d924c3ef0d9f0df25d184b1752cdc03399ca | refs/heads/master | 2022-04-25T05:09:12.692031 | 2020-04-28T17:55:30 | 2020-04-28T17:55:30 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import threading
import time
import random
def worker(number):
sleep = random.randrange(1, 10)
time.sleep(sleep)
print("Worker {} slept {} seconds\n".format(number, sleep))
for i in range(8):
t = threading.Thread(target=worker, args=(i,))
t.start()
print("All Treads are in queries\n")
| UTF-8 | Python | false | false | 311 | py | 146 | 01.py | 97 | 0.66881 | 0.655949 | 0 | 14 | 21.071429 | 63 |
nj7/SecureVault | 4,990,752,008,265 | 36ae039c7bc9a5b1887a6221b2fffdfa4e959282 | 1abb3698e84c61dfe0d8bac3dfbd29d26e3f1036 | /secure.py | 876be179ae4417b6e3479407e1168e505ab116b8 | [] | no_license | https://github.com/nj7/SecureVault | 784f14d8d5bbe81cdfe629decbbf132776ee9a0d | d1d5c6c9567a97c0754eadfc7ea29c7f7ea43be9 | refs/heads/master | 2021-01-23T00:14:46.576516 | 2017-03-30T01:12:14 | 2017-03-30T01:12:14 | 85,706,448 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import shutil
import os
import batchExecute
def main():
"""taking user input of view a file or adding a file to vault"""
while True:
choice = takeInput()
if choice == 1:
hideFile()
elif choice == 2:
findFile()
else:
print "P... | UTF-8 | Python | false | false | 3,782 | py | 3 | secure.py | 2 | 0.574828 | 0.572184 | 0 | 145 | 24.082759 | 118 |
cassie01/APItesting | 14,113,262,579,406 | a6e79ea33c785ee83636fe603f5d08e249ca252c | 1ae32e324de7e8712b4cde4aaa0a6901fa293301 | /before/010.py | 64279bab200e84ab76c150ef18e8debca027f161 | [] | no_license | https://github.com/cassie01/APItesting | bfd78422aeebcf5a1031ce4357309df3b99e4979 | 812cff983bc59df3d34e0fd5d2f4229c82cf90ab | refs/heads/master | 2020-04-18T07:33:48.901876 | 2019-01-24T13:47:34 | 2019-01-24T13:47:34 | 167,364,372 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from selenium import webdriver
import unittest
import time
from selenium.webdriver.common.action_chains import ActionChains
class Cnode(unittest.TestCase):
def setUp(self):
self.Url = 'http://39.107.96.138:3000'
self.driver = webdriver.Chrome()
self.driver.get(self.Url)
#登陆用户
... | UTF-8 | Python | false | false | 1,389 | py | 24 | 010.py | 24 | 0.643755 | 0.611973 | 0 | 34 | 38.823529 | 89 |
lbgbox/DenoiSeg | 15,607,911,190,206 | 4e8740ace94520da2010da21043c2db6a84e6fa8 | 1c6763051234c7e00acc0b209d79f9b3a718605b | /denoiseg/utils/seg_utils.py | e9d7ea553b42c6290dbce8efe7dc309987005c82 | [
"BSD-3-Clause"
] | permissive | https://github.com/lbgbox/DenoiSeg | 07151d513391bb60e0c21131a244d4ac701e99c0 | 9803cbcf31c0510d28a9ff43be92b29cd47120a0 | refs/heads/master | 2023-08-30T18:40:53.591717 | 2021-11-16T13:53:07 | 2021-11-16T13:53:07 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import numpy as np
from skimage.segmentation import find_boundaries
def convert_to_oneHot(data, eps=1e-8):
"""
Converts labelled images (`data`) to one-hot encoding.
Parameters
----------
data : array(int)
Array of lablelled images.
Returns
-------
data_oneHot : array(int)
... | UTF-8 | Python | false | false | 2,826 | py | 54 | seg_utils.py | 12 | 0.583864 | 0.573956 | 0 | 118 | 22.949153 | 86 |
huseyinbiyik/repository.boogie | 10,874,857,197,365 | 40d46e33c0091f373300cb8f5ceb5875aa120a26 | 7c8bfb281103e5b59054ff5a957926cf62a7a896 | /service.subtitles.turkcealtyazi/service.py | be80bf22a1cb7dbdf5c1810ed2c14cf3c4f96f06 | [] | no_license | https://github.com/huseyinbiyik/repository.boogie | 06deaee6b4e641330dc6070bb53529f119c0395a | d73d8baa99f2757e9ad13730c51d9b96b17b6512 | refs/heads/master | 2021-03-12T19:22:09.903700 | 2021-02-17T00:07:30 | 2021-02-17T00:07:30 | 39,784,700 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # -*- coding: utf-8 -*-
'''
Author : Huseyin BIYIK <husenbiyik at hotmail>
Year : 2016
License : GPL
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either v... | UTF-8 | Python | false | false | 9,071 | py | 80 | service.py | 49 | 0.474589 | 0.467203 | 0 | 250 | 34.284 | 99 |
nehaiyer/nlu-assignment1 | 5,162,550,735,791 | 54b955514797e444271e1aa95135d658d5a4270a | 89bc5fa4d267fbd796c88c6e60550d9e4c68c0e5 | /S1_bigram.py | 8e6198437565e82f98f181bb06e76de0177940b1 | [] | no_license | https://github.com/nehaiyer/nlu-assignment1 | 8e373deee32f16880141268cbe55633017d8dcc4 | d95e79eb705037a67e8d127e7d27a97d46ab1a68 | refs/heads/master | 2021-01-24T13:01:12.102595 | 2018-03-04T09:14:41 | 2018-03-04T09:14:41 | 123,161,929 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Feb 27 17:14:30 2018
@author: neha
"""
import nltk
from nltk.corpus import gutenberg
import numpy as np
import string
from nltk.corpus import brown
import random
def load():
train=[]
test=[]
for c in brown.categories():
sent=b... | UTF-8 | Python | false | false | 5,242 | py | 5 | S1_bigram.py | 3 | 0.566387 | 0.55227 | 0 | 194 | 26.020619 | 633 |
bi3mer/qd_dda_level_generation | 1,520,418,452,079 | d337bcc89aaee4ce804b5d820265f4b2a1c3f9d2 | 2bb5ec0ff4676d24e9a2fe000afa3a8ecd843c46 | /Utility/Icarus/Fitness.py | 4200dc6de0b79b3f86a69960a27f0a695e3e71ce | [] | no_license | https://github.com/bi3mer/qd_dda_level_generation | 85f2f6030688b19a7c4c40220019009087df0ddc | 463ca6335868bd3424ecdb47c79e3120a4f41cee | refs/heads/main | 2023-09-06T04:46:40.150802 | 2021-11-01T17:32:27 | 2021-11-01T17:32:27 | 327,395,831 | 0 | 0 | null | false | 2021-05-04T15:35:39 | 2021-01-06T18:22:08 | 2021-05-04T14:43:09 | 2021-05-04T15:35:39 | 638 | 0 | 0 | 0 | Python | false | false | from .SummervilleAgent import percent_completable
def build_slow_fitness_function(grammar):
def slow_fitness(slices):
# at this point, Icarus slices should be rows
bad_transitions = grammar.count_bad_n_grams(slices)
play_slices = list(slices)
# add an area for the player to start ... | UTF-8 | Python | false | false | 818 | py | 66 | Fitness.py | 64 | 0.632029 | 0.623472 | 0 | 22 | 36.181818 | 98 |
hector-han/pythonweb | 14,233,521,650,689 | d9ead1b89c605b2aa3d65e3553d5383ecfddb877 | 1330be11e79f58c7d0a8b427546b258a14f0e2d4 | /wechat/urls.py | da87f7425470fe10dde0705e3493ec3a08d7d74a | [] | no_license | https://github.com/hector-han/pythonweb | 68cca4861e1c911fe7b27193ca7b31f4475aeafb | baf1af5a1207b90e24e7370f4ae27e2b33aaaed5 | refs/heads/master | 2022-08-08T03:22:53.225781 | 2022-07-31T09:13:38 | 2022-07-31T09:13:38 | 156,961,628 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from django.urls import path
from . import views
urlpatterns = [
path('main', views.wechat_main, name='wechat_main'),
]
| UTF-8 | Python | false | false | 126 | py | 7 | urls.py | 5 | 0.690476 | 0.690476 | 0 | 6 | 19.833333 | 56 |
Y0URFR13ND/Hot-Board | 16,140,487,140,931 | 9b39cf0aadef2cd330d39682b7aec030fc57079d | 965e75eb296f97ccb0e1dd27bdf323a559b60b11 | /Software/pyApplication/vcp_handler.py | 7bace7818ffa3bedc2282d0d2b18a0d4bf60574b | [] | no_license | https://github.com/Y0URFR13ND/Hot-Board | 8851c038a7921e2c1c35143b368ad1136dd87c36 | a943e9d2141f623d358388ce7535276c50303101 | refs/heads/master | 2023-02-13T03:09:19.257778 | 2020-12-02T07:27:46 | 2020-12-02T07:27:46 | 292,227,353 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # ******************************************
# file: vcp_handler.py
# project: Hot-Board
# author: Nils Jäggi
# description: communication with the Hardware itself
# ******************************************
import glob
import sys
import serial # python -m pip install pyserial
class VirtualComPort():
def __init... | UTF-8 | Python | false | false | 2,682 | py | 40 | vcp_handler.py | 3 | 0.541589 | 0.533756 | 0 | 79 | 32.924051 | 97 |
techkids-c4e/c4e5 | 13,262,859,038,959 | 55bf4c6e128558675ab21db1631f0340875590ee | b9a8164b946f1967e3c2cde0d8c0060ee6cc7366 | /Phuong Anh/Lesson 5/L5 - Dictionary Ex.py | 33bae5994fcaf48e9e99a90376af9d52314530d1 | [] | no_license | https://github.com/techkids-c4e/c4e5 | d91bb2b4f791ddd978fc486028373a655a3accd2 | 83df2b5718192f9340c6b9edeb0b2a7ff0b9e148 | refs/heads/master | 2020-12-25T10:41:19.485635 | 2016-12-09T07:09:57 | 2016-12-09T07:09:57 | 61,489,855 | 0 | 4 | null | null | null | null | null | null | null | null | null | null | null | null | null | #Wave 1:
print('Wave 1:')
teacher_list = [{"Name":"Tran Quang Hiep","class":"C4E3","session number":"10","rate":"100","month salary":"1,000"},
{"Name":"Nguyen Quang Huy","class":"C4E1","session number":"10","rate":"200","month salary":"2,000"},
{"Name":"Tran Thu Ha","class":"C4E2","sessi... | UTF-8 | Python | false | false | 1,498 | py | 412 | L5 - Dictionary Ex.py | 336 | 0.570093 | 0.533378 | 0 | 35 | 40.914286 | 122 |
lithium/django18-template | 2,319,282,380,986 | 46ef9dc0595452f9eb34d3080722f45102fb9d9b | d1ddda48764785f903f1d5883651210091c1cf82 | /apps/mainsite/settings/fragments/defaults/email.py | 5ab0cc1370a39a1c61336eb87b8eae02283b03e5 | [] | no_license | https://github.com/lithium/django18-template | 2144d38e310ce4428cb1594c52a1e77ea8156a29 | 501f2feb2d7d7a233aaa260c95aa8f0f86fd035c | refs/heads/master | 2021-01-10T08:10:51.551031 | 2016-02-12T03:21:48 | 2016-02-12T03:21:48 | 43,374,235 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | ###
#
# Email
#
###
DEFAULT_FROM_EMAIL = 'webmaster@localhost'
EMAIL_BACKEND = 'django.core.mail.backends.smtp.EmailBackend' | UTF-8 | Python | false | false | 125 | py | 11 | email.py | 8 | 0.712 | 0.712 | 0 | 8 | 14.75 | 61 |
Jusan-zyh/zqh_riscv | 17,368,847,763,319 | a2154f39108f246034898d5cc114a5a96c043f72 | b627da650f75bdcf7e0dc0ef5c4419cf53a1d690 | /src/zqh_amba/zqh_tilelink_2_axi4_parameters.py | f77b294d9d599fad774644911f57cb5d2f7f40c7 | [] | no_license | https://github.com/Jusan-zyh/zqh_riscv | 4aa8a4c51e19fb786ba0c2a120722f1382994a52 | bccde2f81b42ac258b92c21bb450ec6ff848387a | refs/heads/main | 2023-08-06T12:56:52.420302 | 2021-09-21T01:25:41 | 2021-09-21T01:25:41 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import sys
import os
from phgl_imp import *
from zqh_tilelink.zqh_tilelink_atomic_transform_parameters import zqh_tilelink_atomic_transform_parameter
class zqh_tilelink_2_axi4_parameter(parameter):
def set_par(self):
super(zqh_tilelink_2_axi4_parameter, self).set_par()
self.par('aw_id_max_num', 1)
... | UTF-8 | Python | false | false | 460 | py | 295 | zqh_tilelink_2_axi4_parameters.py | 224 | 0.691304 | 0.676087 | 0 | 12 | 37.333333 | 105 |
y-oksaku/Competitive-Programming | 9,277,129,408,746 | 040c69e54a888d290388b9e7ace73765d16a77bb | bf99b1b14e9ca1ad40645a7423f23ef32f4a62e6 | /AtCoder/abc/007b.py | 7e3215a086df3151fe76cfda94be1a3ff43a1176 | [] | no_license | https://github.com/y-oksaku/Competitive-Programming | 3f9c1953956d1d1dfbf46d5a87b56550ff3ab3db | a3ff52f538329bed034d3008e051f30442aaadae | refs/heads/master | 2021-06-11T16:14:12.635947 | 2021-05-04T08:18:35 | 2021-05-04T08:18:35 | 188,639,647 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | A = input()
if len(A) == 1 and A[0] == 'a' :
print('-1')
else :
print('a') | UTF-8 | Python | false | false | 83 | py | 1,459 | 007b.py | 1,456 | 0.421687 | 0.385542 | 0 | 6 | 13 | 32 |
824zzy/Leetcode | 13,769,665,176,327 | 16663bf9c1b774d4a5853b6f10e9070f8f39bfed | a34ec07c3464369a88e68c9006fa1115f5b61e5f | /K_DynamicProgramming/Knapsack/01-Knapsack/L1_740_Delete_and_Earn.py | 1b7edc7382be775a9534f95225eae08cc190fceb | [] | no_license | https://github.com/824zzy/Leetcode | 9220f2fb13e03d601d2b471b5cfa0c2364dbdf41 | 93b7f4448a366a709214c271a570c3399f5fc4d3 | refs/heads/master | 2023-06-27T02:53:51.812177 | 2023-06-16T16:25:39 | 2023-06-16T16:25:39 | 69,733,624 | 14 | 3 | null | false | 2022-05-25T06:48:38 | 2016-10-01T10:56:07 | 2022-05-10T23:28:02 | 2022-05-25T06:48:37 | 2,707 | 4 | 1 | 0 | Python | false | false | """ https://leetcode.com/problems/delete-and-earn/
1. use hash table for calculating score and sorted keys as A
2. At i-th number, we can skip it or select it, if we select it then check if next number needs to be deleted.
"""
class Solution:
def deleteAndEarn(self, A: List[int]) -> int:
cnt = Counter(A)
... | UTF-8 | Python | false | false | 726 | py | 1,842 | L1_740_Delete_and_Earn.py | 1,795 | 0.53719 | 0.523416 | 0 | 19 | 37.263158 | 110 |
rtloftin/HAL | 11,510,512,358,163 | 017f5f7f59c7dd6198c83d5e91aec812cb5ecb67 | fe3f88bf0344b3408b808a3d9aa3d30b9233a8a6 | /navigation/expert.py | 021a6352ba663f0f4dd6170f393322433ada88f5 | [] | no_license | https://github.com/rtloftin/HAL | 45c500877911144b539a11c9f582b864752da0d3 | 381c019a3c930d943672a65ae651e5a4f52686f8 | refs/heads/master | 2020-03-20T02:41:09.954395 | 2019-01-16T00:16:45 | 2019-01-16T00:16:45 | 137,120,524 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | """
Defines an agent that acts optimally in a given navigation environment.
"""
import numpy as np
import tensorflow as tf
from .environment import Action
class Expert:
"""
An agent that generates optimal actions for navigation tasks in a specific environment.
"""
def __init__(self, env):
"... | UTF-8 | Python | false | false | 3,773 | py | 74 | expert.py | 74 | 0.532202 | 0.524781 | 0 | 119 | 30.705882 | 109 |
fvelotti/myScripts | 4,767,413,716,782 | bb8eae85a6e9a6b59cbd0b8609a0f72d0d7f09de | 002f72085a6a1ea6beb0f05d959b093de7478e2c | /LHC_injection/plot_lhc_beams.py | 3ef92d67cee591558c43da1094eca6de8a6f6b4c | [] | no_license | https://github.com/fvelotti/myScripts | 02ba44ac76194024d2f1e6e3180cfe8368f0dbdf | ceb869a1a80d01b9aed44fe0fd24c4998c899ac2 | refs/heads/master | 2017-05-06T00:45:50.402990 | 2017-05-04T08:51:53 | 2017-05-04T08:51:53 | 12,155,006 | 0 | 1 | null | null | null | null | null | null | null | null | null | null | null | null | null | import numpy as np
import matplotlib.pyplot as plt
import dump_library as dp
path = '/afs/cern.ch/work/f/fvelotti/private/lhc/'
twiss_old_b1 = 'twiss_lhc_old_b1.tfs'
twiss_old_b2 = 'twiss_lhc_old_b2.tfs'
variables = ['name', 's', 'x', 'y', 'betx', 'bety', 'dx', 'dy', 'mux', 'muy']
name_b1o, s_b1o, x_b1o, y_b1o, b... | UTF-8 | Python | false | false | 1,319 | py | 915 | plot_lhc_beams.py | 348 | 0.636846 | 0.576952 | 0 | 43 | 29.674419 | 133 |
Hryts-hub/eventmaster | 4,277,787,433,672 | 11e590108409b7c019fc147f5a2f6445498bb56c | 696bca4311caddbef8b55a3466417d28b81c7bfd | /comrades/management/commands/country.py | 2becb009710e1806e187b8270c30fa12ba8a6404 | [] | no_license | https://github.com/Hryts-hub/eventmaster | 98d40e708f9ff3a0b92c90b743d99be3bf66b0e9 | 34cbde942d28ddde12272d67493a1ba81d0b4cd3 | refs/heads/master | 2023-07-25T10:38:00.965219 | 2021-09-09T10:05:41 | 2021-09-09T10:05:41 | 334,152,626 | 0 | 0 | null | false | 2021-02-21T08:28:14 | 2021-01-29T13:24:12 | 2021-02-20T10:35:46 | 2021-02-21T08:28:05 | 125 | 0 | 0 | 1 | Python | false | false | from django.core.management.base import BaseCommand
from events.services import get_countries
from comrades.models import Country
class Command(BaseCommand):
def handle(self, *args, **options):
slugs, list_country = get_countries()
country_fields = [
Country(slug=slugs[i], country_name... | UTF-8 | Python | false | false | 443 | py | 27 | country.py | 25 | 0.670429 | 0.668172 | 0 | 13 | 33 | 64 |
zwen000/CSc44500-HW4 | 14,053,133,012,848 | 415649637be1cad7d41ede1ab0f3a9796501140f | 136d228e6b6193b457b8f46601b350b1349492b3 | /BDM_HW4_Wen2.py | e54d2d365c41763310e775651bc1758ec3dceccc | [] | no_license | https://github.com/zwen000/CSc44500-HW4 | 540515aea6c59a4fb930007525d5fb6300d4624d | b93230705294f0a3063525c3875d9ee910ec41cc | refs/heads/main | 2023-01-23T12:44:02.899568 | 2020-11-17T05:12:03 | 2020-11-17T05:12:03 | 312,475,182 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from pyspark import SparkContext
import sys
import csv
if __name__=='__main__':
def parseCSV(idx, part):
if idx == 0:
next(part)
for p in csv.reader(part):
yield ("\""+p[1]+"\"", p[0].split("-")[0], p[7])
path_in = sys.argv[1] if len(sys.argv)>1 else "complaints_small.c... | UTF-8 | Python | false | false | 958 | py | 2 | BDM_HW4_Wen2.py | 2 | 0.525052 | 0.502088 | 0 | 26 | 35.807692 | 97 |
ShazwanX9/Hamming_Numbers | 2,894,807,972,771 | e6c07b6e78ee30fb582439abef0b0fe4bf948a76 | f3708130135e9c7e6fe2bd12ad6487a5b0ae14e6 | /hamming_numbers.py | a4bd2674eb4fd5ba6f00aefd237fbff1c3298b8b | [] | no_license | https://github.com/ShazwanX9/Hamming_Numbers | e0db06e2bf5f04cd8bdaec0bc87e0cf0843923ee | 37b1b8de919d5d384cd37d312049d9fd4913e912 | refs/heads/main | 2023-07-16T07:47:57.520799 | 2021-08-31T16:09:45 | 2021-08-31T16:09:45 | 401,765,105 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | """
In computer science, regular numbers are often called Hamming numbers, after Richard Hamming,
who proposed the problem of finding computer algorithms for generating these numbers in ascending order.
In number theory, these numbers are called 5-smooth,
because they can be characterized as having only 2, 3, o... | UTF-8 | Python | false | false | 3,195 | py | 2 | hamming_numbers.py | 1 | 0.404069 | 0.376526 | 0 | 113 | 26.274336 | 104 |
foru120/PythonRepository | 4,956,392,264,768 | 08a0ad4ec4cbb2f276e1179c4ea4d6f2484f328e | f8ad6963bfc851657ea50c6a036cfad29cdd7f60 | /Books/DeepLearningLearningFromTheFounderOfKeras/chapter4/chapter4_2.py | 169e6b99e6419949c52106331c23e305c0b8e016 | [] | no_license | https://github.com/foru120/PythonRepository | e1ab0265c0f50ef2e9acdf7447237c913560692b | db6b6be0f9fb91b0a81a3b6a2ec5631daab10f98 | refs/heads/master | 2021-01-01T06:53:11.728109 | 2019-04-25T13:52:50 | 2019-04-25T13:52:50 | 97,541,222 | 4 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #todo K-겹 교차 검증
#todo - 데이터를 동일한 크기를 가진 K 개 분할로 나누고, 각 분할 i에 대해 남은 K - 1개의 분할로 모델을 훈련하고 분할 i에서 모델을 평가한다.
#todo 최종 점수는 이렇게 얻은 K개의 점수를 평균한다.
#todo 이 방법은 모델의 성능이 데이터 분할에 따라 편차가 클 때 도움이 되고, 홀드아웃 검증처럼 모델의 튜닝에 별개의 검증 세트를 사용한다.
import numpy as np
k = 4
data = []
test_data = data[int(len(data) * 0.7):]
data = data[:in... | UTF-8 | Python | false | false | 2,027 | py | 577 | chapter4_2.py | 541 | 0.667154 | 0.661302 | 0 | 42 | 31.571429 | 101 |
fclintj/bash_setup | 14,242,111,559,692 | 9a845e0873fff89d1a618b25dfce20e5dcfb8eee | 9dce72b2a41433602b710e00470115ca364970f9 | /.autokey/unicode/rarrow.py | 371b0462ff89f79a12c967e7ea66fe8834688f28 | [] | no_license | https://github.com/fclintj/bash_setup | 7213c2a0a672f4a29d2aa1329df7bfcc902e7353 | 8e71a744302d604724bfab0e2bab843cd8867322 | refs/heads/master | 2021-01-02T08:38:00.518288 | 2018-09-28T06:10:54 | 2018-09-28T06:10:54 | 99,036,013 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # → U+2192
keyboard.send_keys("<ctrl>+<shift>+u+" + "2192")
keyboard.send_keys("<ctrl>"+" ")
| UTF-8 | Python | false | false | 95 | py | 60 | rarrow.py | 35 | 0.591398 | 0.505376 | 0 | 3 | 30 | 48 |
hw233/lolita_son | 8,830,452,781,327 | d48f995fbd283433642c3466a5da7443609e93ee | 8d6227b76789f4e64a8fda38c5b678114c81fd36 | /firefly/utils/interfaces.py | eb05a1d8ced6187ab77f3e7494104d7e391a7916 | [
"MIT"
] | permissive | https://github.com/hw233/lolita_son | 2a2ddeb70bda323c6cf4c1ca1defa25c018c9801 | 8205dff0d423aaedfa7fca8790d1d6fe50213e6e | refs/heads/master | 2021-02-13T10:44:11.393406 | 2019-04-23T15:19:35 | 2019-04-23T15:19:35 | 244,689,286 | 0 | 1 | MIT | true | 2020-03-03T16:42:02 | 2020-03-03T16:42:02 | 2019-04-23T15:19:42 | 2019-04-23T15:19:40 | 17,647 | 0 | 0 | 0 | null | false | false | #coding:utf8
'''
Created on 2013-10-17
@author: lan (www.9miao.com)
'''
from __future__ import division, absolute_import
from zope.interface import Interface
class IDataPackProtoc(Interface):
def getHeadlength():
"""获取数据包的长度
"""
pass
def unpack():
'''解包
'... | UTF-8 | Python | false | false | 427 | py | 248 | interfaces.py | 231 | 0.496222 | 0.471033 | 0 | 24 | 14.708333 | 48 |
Alex1820209/AprendiendoPython | 9,285,719,336,837 | 76ec0acebb5fd7b29f8a5d6e28390afb64da2e4b | d1c58b834a9d86b9447eb984213ffd56ec1cbdcb | /GuiaPython/compara.py | 0d9e737fa36c423d2ce7b8c38cc98daae347ec42 | [] | no_license | https://github.com/Alex1820209/AprendiendoPython | 201f4228220c09c4c3260ef2172d4dbd0a30e183 | 1b5642dcaa2caf13303d3ede48b94293f82a91fd | refs/heads/master | 2020-08-01T09:06:35.852829 | 2019-09-25T21:33:48 | 2019-09-25T21:33:48 | 210,944,026 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | numero1 =input("Numero 1: ")
numero2=input("Numero 2: ")
#se muestran los valores
salida="Numeros proporcionados: {} y {}. {}."
if (numero1==numero2):
#se mete a esta funcion si los capturados son iguales
print(salida.format(numero1, numero2,"Los numeros son iguales"))
else:
#se usa un if dentro de ... | UTF-8 | Python | false | false | 669 | py | 10 | compara.py | 9 | 0.660688 | 0.639761 | 0 | 16 | 39.6875 | 72 |
xingxingdegit/learnpython | 14,972,255,994,655 | ddd2afd21a88adeb95c0c0683ca7a1b14ffe7223 | 618389bc0bb267785af72ccc9e1cf0dcec874861 | /2.7/threadling/test2.py | b9113c626bd252f85134e12ea0c77dacbc2fd5b6 | [] | no_license | https://github.com/xingxingdegit/learnpython | 4479cb24d77af6b0bc50ee5cadd49a85848113e9 | 4a353363e5040c8a8c6a48cf3654583fbd1c54a4 | refs/heads/master | 2020-02-29T15:05:57.991568 | 2017-03-30T03:24:08 | 2017-03-30T03:24:08 | 65,520,341 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!/usr/bin/env python
#
# --*-- cofing: utf-8 --*--
#
import threading,time
i = 100
lock = threading.Lock()
def push(tid):
global i
check = True
while check:
# lock.acquire()
if i > 0:
i -= 1
print 'i is:',i,'the tid is:',tid
else:
print 'nothing',... | UTF-8 | Python | false | false | 531 | py | 47 | test2.py | 43 | 0.495292 | 0.47646 | 0 | 26 | 18.769231 | 56 |
fmhr/procon | 4,973,572,174,651 | e967242d5223ad33cda44cca35aa6848694d7dff | a3c70d94274216451520905d83685cc3c6315473 | /atcoder/ABC/012/abc12c.py | 7b6ad8d55d0ecb3f14fcf5290e514c8e321ece72 | [] | no_license | https://github.com/fmhr/procon | b939827f03d8a5c0e2faada81ae14c11f861909d | e8bea807b9cc8b8781fc21c5e64ab20e4b453283 | refs/heads/master | 2019-08-27T10:53:57.594751 | 2019-01-28T09:05:06 | 2019-01-28T09:05:06 | 59,471,219 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
def main():
n = 2025-int(input())
x = []
for i in range(1, 10, 1):
if n%i==0 and n//i<10:
print(i, 'x', n//i)
if __name__=='__main__':
main()
| UTF-8 | Python | false | false | 228 | py | 11,142 | abc12c.py | 777 | 0.421053 | 0.368421 | 0 | 14 | 15.285714 | 31 |
OMalenfantThuot/scripts_raman | 9,887,014,741,332 | 57d8788700f0047bb42d2c7f8e36075f2911a2ea | 5660cc796ba00f5090c7de6208c2e0a77c2328ba | /utils/functions/gramschmidt.py | a25bd32ad43e68be72b93b735fccbc39728a0748 | [] | no_license | https://github.com/OMalenfantThuot/scripts_raman | ac65fec1c5ac97a13b8c222e02241f02393f7709 | 2fd42a4b09d33fcf96da4b4d3340f67d21428b18 | refs/heads/master | 2023-07-19T20:11:10.457974 | 2023-07-18T18:15:26 | 2023-07-18T18:15:26 | 193,724,148 | 1 | 1 | null | false | 2023-08-28T20:00:38 | 2019-06-25T14:29:42 | 2021-12-14T20:08:26 | 2023-08-28T20:00:37 | 17,462 | 1 | 1 | 0 | Python | false | false | import numpy as np
def gramschmidt(basis, normalize=True):
basis = [np.array(vec, dtype=np.float64) for vec in basis]
nvectors = len(basis)
ndim = len(basis[0])
for vec in basis:
assert len(vec) == ndim
new_basis = []
for i in range(nvectors):
new_vec = basis[i].copy()
... | UTF-8 | Python | false | false | 583 | py | 71 | gramschmidt.py | 69 | 0.567753 | 0.562607 | 0 | 22 | 25.5 | 62 |
smutch/gpu_tests | 1,434,519,100,451 | ffd6abef4c171c66c2a2f5f4a895d51b1e7dd1e2 | c09bf27d535f52c1c613b843a54b4f8853e560b7 | /test.py | ca2e0068a4349dbe79b46eb7824f001ae65dad04 | [] | no_license | https://github.com/smutch/gpu_tests | 2f14c4b7ce969e04a2e4694503da513990311d8f | f9df91357d89310b1679e3a7c855e9b23ea32839 | refs/heads/master | 2020-04-21T07:02:07.926383 | 2019-02-06T09:36:22 | 2019-02-06T09:36:22 | 169,382,095 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import sys
sys.path.insert(0, "build/lib")
from mpi4py import MPI
import pygpu_tests
if MPI.COMM_WORLD.rank == 0:
print(f"Running test with {MPI.COMM_WORLD.size} ranks...")
pygpu_tests.init_cuda()
| UTF-8 | Python | false | false | 204 | py | 7 | test.py | 2 | 0.710784 | 0.696078 | 0 | 10 | 19.4 | 62 |
vedantshr/python-learning | 14,216,341,782,672 | 7019978851bf125c1db556b47650040e58f7900c | f5bf67a840af96182fafaf9528fac2b83fed62fa | /learning/armstrongno.py | 02a53dab85e7c4492624b8de5355bb4a89416355 | [] | no_license | https://github.com/vedantshr/python-learning | 4a6d4e2d230d8db4b4370a7ef9375bf4c4dc96c2 | 637efb29f2f13c47cd3d9b402735b15657392835 | refs/heads/main | 2023-06-28T04:24:25.215630 | 2021-07-28T15:13:11 | 2021-07-28T15:13:11 | 281,611,580 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | def armstrong(ip):
n = 0
for i in range(len(ip)):
n = n + int(ip[i])**len(ip)
if n == int(ip):
return True
else:
return False
if __name__ == "__main__":
ip = input()
ip2 = input()
print (armstrong(ip))
print (armstrong(ip2)) | UTF-8 | Python | false | false | 283 | py | 136 | armstrongno.py | 86 | 0.480565 | 0.469965 | 0 | 15 | 17.933333 | 35 |
CiiMAV/python-cdr | 11,759,620,466,043 | 79c2a896e856771bb462f8aae1f643156213e53e | f65ebbcf5baf0cb649b28df191b38a75fbdb71fe | /test/sensor_accel_cdr.py | a81fafcad457a15c635066ce8d63a5a02ffa1b19 | [] | no_license | https://github.com/CiiMAV/python-cdr | c59bafd9b0ae2eaf5777f874cafe28e36b2be2f9 | 1cfa4ea30694b4e7173bdc0f63d2e8a2ce0dca22 | refs/heads/master | 2020-03-13T06:28:32.340915 | 2018-06-25T10:20:18 | 2018-06-25T10:20:18 | 131,005,536 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import ctypes
import sys
lib = ctypes.cdll.LoadLibrary('./sensor_accel_cdr.so')
class sensor_accel(object):
"""docstring for sensor_accel"""
def __init__(self):
lib.sensor_accel_new.restype = ctypes.c_void_p
lib.sensor_accel_deserialize.argtypes = [ctypes.c_void_p, ctypes.c_char_p, ctypes.c_int]
lib.s... | UTF-8 | Python | false | false | 694 | py | 18 | sensor_accel_cdr.py | 17 | 0.681556 | 0.680115 | 0 | 20 | 32.6 | 90 |
askemottelson/minigit | 1,520,418,425,058 | 0246f38a8434ff5b4800ba36b76be9228116b8b9 | 9965abf48dacdf15cf7c2b3b7fb7450dfcbdd2c1 | /gui/clonedialog.py | 1f29cb666219d8c17ddaeb322efed55a032974bd | [] | no_license | https://github.com/askemottelson/minigit | c72d5c98827fa57aed5639f1550d7181947553ba | 7468eead89f68d6a80cb0d5ad5dba0ce22cecb02 | refs/heads/master | 2016-08-04T04:29:48.543996 | 2014-12-07T14:37:31 | 2014-12-07T14:37:31 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from PyQt4 import QtCore, QtGui
from clone import Ui_CloneDialog
class CloneDialog():
url = ""
path = ""
def __init__(self, parent):
self.parent = parent
def urlSelected(self):
root = str(QtGui.QFileDialog.getExistingDirectory(self.parent, "Select Directory"))
self.clonedialog_ui.path.setTe... | UTF-8 | Python | false | false | 744 | py | 13 | clonedialog.py | 8 | 0.700269 | 0.698925 | 0 | 32 | 22.28125 | 87 |
anitabaral/Exercism-exercises | 18,098,992,209,019 | 78310c21b47e2dc37e896f4e05cec0c133691294 | 10815fbddf1d85fbdf2655c1b41977496aa28a6f | /robot_name.py | 2dbc69ab107f223f6c2b27494c73bf00e36a9e5a | [] | no_license | https://github.com/anitabaral/Exercism-exercises | 983d6b6ce1c0ee8f0d70d5dbe8ab59e8e8b3e878 | 81034e5174ef6933e07bc595c9dd708265faeaaf | refs/heads/master | 2023-05-30T17:22:38.143483 | 2021-06-14T08:33:47 | 2021-06-14T08:33:47 | 363,824,732 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import random
import string
class Robot:
def __init__(self):
random.seed()
self.reset()
def reset(self):
self.get_name()
def get_name(self):
text = []
for _ in range(2):
text.append(random.choice(string.ascii_uppercase))
for _ in range(3):
... | UTF-8 | Python | false | false | 403 | py | 39 | robot_name.py | 39 | 0.543424 | 0.538462 | 0 | 18 | 21.388889 | 62 |
bibongbong/pythonCookBook | 16,630,113,411,239 | e90b83216d5bd040546fe3d9450c4855128bbce3 | 6d8f60ea657cdc4d82ae6f9272e3614a9ac6e525 | /learningStuff/getUrl_multiThread.py | ff30bf643f0a5e53e15b151c436afc088f3d1d74 | [] | no_license | https://github.com/bibongbong/pythonCookBook | 4d6dc3904a1afa1250304b66ec99a98c1a80649f | c92c75f2d5256de0bb2ec879a7d6484a22cc6bcd | refs/heads/master | 2021-06-10T01:37:26.178698 | 2021-06-01T13:52:18 | 2021-06-01T13:52:18 | 152,709,122 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | ####################################################################
# File: getUrl.py
# Function: Learning to how to get the specific URL, and parse the HTML page to get the content you want
#
####################################################################
import urllib.request
import operator
from bs4 ... | UTF-8 | Python | false | false | 2,840 | py | 80 | getUrl_multiThread.py | 80 | 0.601408 | 0.57993 | 0 | 105 | 25.028571 | 104 |
Renjiewu/2019-3d- | 11,184,094,877,899 | 292100defb8ac84c6e43675a4170fb50e2e56556 | c249a7472d64b0bac788aa1d106958e94b888bfc | /rs1_1.py | c653a657a40f456e7996e48a6180bfe22d151111 | [] | no_license | https://github.com/Renjiewu/2019-3d- | 88fe444fd7795d75d1044d47999eb00dbfd75551 | a2e71e5ef1c934a3fc38117ac37bfec4f13939bc | refs/heads/master | 2020-09-20T06:41:02.264820 | 2019-11-27T10:28:13 | 2019-11-27T10:28:13 | 224,402,171 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sun Jul 7 17:58:18 2019
@author: w3321
"""
import pyrealsense2 as rs
import numpy as np
import cv2
from . import rs1_cv as rs1
import math
import time
import os
from . import square_distance_angle as da
import pandas as pd
from .. import output2 as op
from .. imp... | UTF-8 | Python | false | false | 13,887 | py | 5 | rs1_1.py | 5 | 0.511092 | 0.407255 | 0 | 402 | 32.430348 | 114 |
mrerren/Workshop-Python-101 | 1,992,864,851,537 | a7c8a24deefcbe885d014286807e1c060d423026 | 2b7f99469ebf47efddc522503df0742cef2abd10 | /8-OOP/2-Class/lat31.py | 1fdb44bf436a7a961c9807e2fde79febe5501e8c | [] | no_license | https://github.com/mrerren/Workshop-Python-101 | 961c15ed972cc6b3bc3cd9cf36b8f915794751ca | 5a870d0664f3119348c12c01ab76968055d4a6c1 | refs/heads/master | 2023-03-05T10:43:49.830222 | 2020-12-18T08:54:12 | 2020-12-18T08:54:12 | 321,860,883 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # lat31.py
class Orang:
pass
org = Orang()
print(org) | UTF-8 | Python | false | false | 59 | py | 69 | lat31.py | 46 | 0.627119 | 0.59322 | 0 | 7 | 7.571429 | 13 |
444thLiao/my_toolkit | 19,155,554,146,969 | 3fa5b7b0e26f8fcfcef8376d3a32a505cd49b06c | 9ea705a75261fc8a128f016e0af37ee413ad98d7 | /vis_for/newick/draw_tanglegram.py | 6d82242460e6b606bc438cc6e3cf5d6bca6a6a4e | [] | no_license | https://github.com/444thLiao/my_toolkit | a3ec207f36978d8fe40278b43d3e7b63e00d690b | a5b7cda90d28d98edf90456dca34da3824aa5ce7 | refs/heads/master | 2020-05-09T12:11:45.161286 | 2020-05-08T07:38:11 | 2020-05-08T07:38:11 | 181,104,919 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | """
This script is mainly written for tanglegram which connect leafs from two dendrograms.
Further, it also implement some useful transferring function from iTOL.
for adding color to the leaves of the dendrogram. you could use the iTOL file.. or something simpler like removing the description
"""
from collections... | UTF-8 | Python | false | false | 8,875 | py | 35 | draw_tanglegram.py | 30 | 0.58738 | 0.566535 | 0 | 217 | 39.898618 | 176 |
udemirezen/rational_activations | 6,012,954,218,353 | ed9e090bd0b27670529672ad6d04bcd92f4118a1 | 22ad9abeb6c9bcddb6ee127309cd1afce9e1cf3c | /rational/torch/rationals.py | 2551ab2c8038a17dd89087ea537af0a9196e9539 | [
"MIT"
] | permissive | https://github.com/udemirezen/rational_activations | 8e9abf3475d78251ddb8e9f0b37bd6bbf8135dbb | 5bc4ade862eb8967e940afb15d33e0d6653668cc | refs/heads/master | 2023-08-11T15:38:01.254359 | 2021-08-10T13:23:22 | 2021-08-10T13:23:22 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | """
Rational Activation Functions for Pytorch
=========================================
This module allows you to create Rational Neural Networks using Learnable
Rational activation functions with Pytorch networks.
"""
import torch
from torch._C import device
import torch.nn as nn
from torch.cuda import is_available a... | UTF-8 | Python | false | false | 28,724 | py | 85 | rationals.py | 55 | 0.53645 | 0.529488 | 0 | 726 | 38.564738 | 121 |
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