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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
tumbleweed91/todo | 15,015,205,706,656 | 517eb248a7af0ff53509d239db030acf39b67419 | 4b9b05025f79fcf99217474a02c8b0ffd9416f30 | /general/models.py | 03b492532684f8f09b23bb2c453740b18176f988 | [] | no_license | https://github.com/tumbleweed91/todo | c890004accbe2831c3257fcad5d98b980f9a1b1f | d1776e73124d9d2e78ef85e606a0474644689017 | refs/heads/master | 2016-09-22T16:59:41.694810 | 2016-06-03T22:38:43 | 2016-06-03T22:38:43 | 60,289,192 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from __future__ import unicode_literals
from django.db import models
class ToDoEntry(models.Model):
text = models.CharField(max_length=25)
done = models.BooleanField(default=False)
created_at = models.DateTimeField(auto_now=True)
def __unicode__(self):
return self.text
| UTF-8 | Python | false | false | 298 | py | 6 | models.py | 5 | 0.708054 | 0.701342 | 0 | 12 | 23.833333 | 52 |
IBM-Security/ibmsecurity | 12,360,915,905,554 | 21423e7ef9105da8da44d74385cb0eb92fac7383 | 33b3d332deafae90bff495ae7caffc98f331089b | /ibmsecurity/isam/web/reverse_proxy/federation_configuration.py | 42dcef5c77c2bba66effa7b0c705af2271f85ca2 | [
"Apache-2.0"
] | permissive | https://github.com/IBM-Security/ibmsecurity | 5698e8f52db6e04f759d67fc3ecdd976de233fa4 | 66f7673c5757273eb2afa4d1734e35efbd6f3fc0 | refs/heads/master | 2023-08-11T09:22:38.009427 | 2023-07-06T11:54:32 | 2023-07-06T11:54:32 | 85,416,486 | 50 | 96 | Apache-2.0 | false | 2023-07-06T11:54:33 | 2017-03-18T16:40:53 | 2023-06-23T07:40:23 | 2023-07-06T11:54:32 | 1,161 | 44 | 75 | 32 | Python | false | false | import logging
import ibmsecurity.isam.fed.federations
logger = logging.getLogger(__name__)
def config(isamAppliance, instance_id, federation_id=None, federation_name=None, hostname='127.0.0.1', port='443', username='easuser',
password='passw0rd', reuse_certs=False, reuse_acls=False, check_mode=False, for... | UTF-8 | Python | false | false | 4,206 | py | 303 | federation_configuration.py | 300 | 0.617689 | 0.613885 | 0 | 112 | 36.553571 | 134 |
jmslagle/nagplugins | 7,524,782,731,945 | 4de818fb99237702cfd870e3c150b3315b65acbb | ed4988957c35a237423bb534ebced640fb9f4aeb | /check_pcp_node_status.py | 98abe362b25e963332eb9a8c75d1bc0e2db0b411 | [] | no_license | https://github.com/jmslagle/nagplugins | 0688954eb0e7421a24750580af601cd1e68aaaaa | 41c62858c2fc802c548f4a83529f5a38b994b6c1 | refs/heads/master | 2016-09-06T06:45:18.361687 | 2012-06-06T19:35:33 | 2012-06-06T19:35:33 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!/usr/bin/env python
# check_pcp_node_status - check PGPool node status
#
# Python Nagios Template from
# http://bsd.dischaos.com/2009/04/29/nagios-plugin-template-in-python/
import sys, getopt, subprocess
nagios_codes = {'OK': 0,
'WARNING': 1,
'CRITICAL': 2,
'UNKNOWN': 3,
'DEPENDENT': 4}
def usage(... | UTF-8 | Python | false | false | 3,676 | py | 2 | check_pcp_node_status.py | 2 | 0.569369 | 0.557671 | 0 | 142 | 24.887324 | 82 |
HermanSun/Python-Test | 16,097,537,425,498 | 84ece52f0060d6faafcb7d27631744d16690caf0 | ad287c40a1a6f967b9daafd701ade9f0ff19ba3b | /de.vogella.python.second/src/p3.py | 9ed00bc92a6093cae877a94d14a7e4a1743293fd | [] | no_license | https://github.com/HermanSun/Python-Test | bfd856ce0c8880d11844d21a8b850629f5117381 | 3bb4cd88fc91a8f450eaf33c0fa76dfad85692c4 | refs/heads/master | 2020-03-26T12:46:30.139339 | 2018-08-15T22:18:33 | 2018-08-15T22:18:33 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | '''
Created on Sep 23, 2016
@author: HermanSun
'''
def list_mul(list1, list2):
rlist=[]
a = len(list1)+len(list2)-1
#print a
for i2 in range(len(list2)):
for i in range(a):
if i < len(rlist):
continue
i1=i-i2
if i1>=l... | UTF-8 | Python | false | false | 650 | py | 23 | p3.py | 21 | 0.410769 | 0.361538 | 0 | 32 | 18.375 | 46 |
AmishaAgrawal-code0103/api_project17 | 11,407,433,170,696 | 263788edfa5c169f49319369ac5f0b4272dbbb71 | 222977ed0ba9dcc4abb7901b536678addf424090 | /Project17/demo.py | d1ae6228f9e3d88884cbf579b056b38e4b6ed1b2 | [] | no_license | https://github.com/AmishaAgrawal-code0103/api_project17 | bbe1fed11484acde8ed0faccbae6bf8034bb3efa | b1c97d97ff5b7bbb436f4eec5dc89e1e863b2127 | refs/heads/master | 2023-01-03T21:18:08.658688 | 2020-10-27T19:58:23 | 2020-10-27T19:58:23 | 307,813,188 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import requests
import json
BASE_URL = 'http://127.0.0.1:8000/'
END_POINT = 'api/'
'''This function is used to select resource'''
def get_resource(id = None):
data = {}
id = input('Enter the id:\t')
if id is not None:
data = {'id':id}
response = requests.get(BASE_URL+END_POINT, data = json.dumps(data))
print... | UTF-8 | Python | false | false | 2,090 | py | 6 | demo.py | 6 | 0.686124 | 0.676555 | 0 | 75 | 26.84 | 127 |
masa8224/MeguHome | 14,474,039,825,363 | 5017e926734f7bb7033b30c621a6a130685e8e4b | dab04bc6553c0284197ac93485501e9757d38223 | /Python/test_speak.py | e72c3d97b9ad861dd1a51a3fd4114440b36c4ef0 | [] | no_license | https://github.com/masa8224/MeguHome | 012cf974761688a7b0f6a4ce733538f1bef8cd91 | db329904c66fa6124353caaca837f2565f3aeb6e | refs/heads/master | 2021-01-23T22:19:25.999927 | 2017-09-20T12:33:54 | 2017-09-20T12:33:54 | 102,926,235 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from SpeakPython.SpeakPythonRecognizer import SpeakPythonRecognizer;
import time
import udp
#define callback function with 1 parameter (string)
def execute(s):
print s;
if "on" in s:
udp.main("on")
if "off" in s:
udp.main("off")
#creates recognition instance
#par... | UTF-8 | Python | false | false | 900 | py | 38 | test_speak.py | 31 | 0.703333 | 0.686667 | 0 | 32 | 27.125 | 91 |
tkukurin/Lab.SeparatingFactFromFiction | 16,131,897,201,255 | 66a07195e50b4347b5e124cbdfd826c607ecf0d2 | d5647b0086277fba5d159a8fe9adeca9e420eb00 | /util/featureutil.py | b9084d3a16b6ff6b922bba3f6203a6379a9d4d06 | [] | no_license | https://github.com/tkukurin/Lab.SeparatingFactFromFiction | e051d58e42a1b2b8b9f5b3a716b04a5621e970eb | c64fb8bfc84c7a4125f559ac745fcd18f149da51 | refs/heads/master | 2021-09-14T20:36:33.427485 | 2018-05-18T19:46:18 | 2018-05-18T19:46:18 | 125,760,742 | 0 | 1 | null | null | null | null | null | null | null | null | null | null | null | null | null | from collections import defaultdict
def dict_features(tokens, feature_set):
ret = defaultdict(int)
for t in tokens:
if t in feature_set:
ret[t] += 1
return ret
from nltk.tokenize import RegexpTokenizer
from util import data_process, functions
from nltk.stem.porter import PorterStemmer... | UTF-8 | Python | false | false | 948 | py | 39 | featureutil.py | 22 | 0.644515 | 0.64135 | 0 | 32 | 28.59375 | 63 |
comedxd/Artificial_Intelligence | 13,314,398,654,179 | 4f32d0b2293ff8535a870cd9730528ecf4874190 | 408d5ebecf0964eb2609ee787036f41b1966c708 | /2_DoublyLinkedList.py | f38a1a7bf7083c8fb83dbf60dc2e2eb0b7112682 | [] | no_license | https://github.com/comedxd/Artificial_Intelligence | 414688e1ea25649c000e3abf40bf97ef5fce1ada | 667c7fdf1c055b7130c6e289c643a5b4adf8f3af | refs/heads/main | 2023-04-16T02:41:43.195075 | 2021-04-01T12:50:36 | 2021-04-01T12:50:36 | 351,805,360 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | class LinkedListNode:
def __init__(self,value,prevnode=None,nextnode=None):
self.prevnode=prevnode
self.value=value
self.nextnode=nextnode
def TraverseListForward(self):
current_node = self
while True:
print(current_node.value, "-", end=" ")
... | UTF-8 | Python | false | false | 1,266 | py | 28 | 2_DoublyLinkedList.py | 27 | 0.56872 | 0.554502 | 0 | 45 | 25.822222 | 57 |
Duchyna1/PYTHON | 15,032,385,555,176 | ceafe5a5a1224a1b8e4cb0627635c2b777283dbf | 602cb983fb198464ca7aa1e716e7c92d60d30ab6 | /projects/raspberrypi/push.py | c6b014d0dbb94838bc74a33ce3c219b4c3face2b | [] | no_license | https://github.com/Duchyna1/PYTHON | 2b5c8375123bbc27ab484eb73c90b9b9c00081ea | 6b189b6145e0ff32fc43285cbcf39e3479bb44c2 | refs/heads/master | 2022-11-14T13:49:58.398229 | 2020-06-22T15:01:28 | 2020-06-22T15:01:28 | 238,493,189 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import os
message = input("Commit message: ")
os.system('git commit -am "{}"'.format(message))
os.system('git push')
| UTF-8 | Python | false | false | 119 | py | 93 | push.py | 89 | 0.672269 | 0.672269 | 0 | 6 | 18.833333 | 48 |
andrirahmanto/DistanceTransformForWatershed | 5,025,111,750,831 | 6acfcfc16caabc12965e052415d2bf5c8030afab | cebd4e4ce7d93a2267d67042b3690ccaa7759b80 | /DistanceTranfrom_byCityBlock.py | 2c5727818c160da7447b2eb9ce039729fba19302 | [] | no_license | https://github.com/andrirahmanto/DistanceTransformForWatershed | 84a7a59f38b3cc9e5be3d2f37e1941cb2aca2463 | 358c624a318dccda3f2279cf6e889d9c66d55673 | refs/heads/master | 2020-11-28T01:54:41.456760 | 2019-12-23T08:04:33 | 2019-12-23T08:04:33 | 229,673,274 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import numpy as np
import matplotlib.pyplot as plt
def city_block(lis):
matrix = np.array(lis)
# simpan index pixel fore-ground atau pixel yang valunya non-zero kedalam saveindex
saveindex = []
for i in range(len(matrix)):
for j in range(len(matrix[i])):
if matrix[i,j] ... | UTF-8 | Python | false | false | 1,189 | py | 2 | DistanceTranfrom_byCityBlock.py | 1 | 0.544996 | 0.510513 | 0 | 42 | 26.309524 | 87 |
paulberesuita/linearalgebra | 979,252,577,440 | ffac0148c3a7eea6909e6dbc6add30e76486c5ef | 914a9eb9e8374414516a72ac80ba9529d551a061 | /hello.py | cd481c0c101221e3394363e98232d6c5c587e0ff | [] | no_license | https://github.com/paulberesuita/linearalgebra | cd7af9f32b16e45b2d97d57940c4b35b0cf5607f | e09b6cc6d7649c6a70d5c4ddadca2040e5138ec7 | refs/heads/master | 2016-08-09T14:22:23.562694 | 2016-01-17T19:16:55 | 2016-01-17T19:16:55 | 49,831,388 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import math
class Vector(object):
def __init__(self, coordinates):
try:
if not coordinates:
raise ValueError
self.coordinates = tuple(coordinates)
self.dimension = len(coordinates)
except ValueError:
raise ValueError('The coordinates ... | UTF-8 | Python | false | false | 4,380 | py | 1 | hello.py | 1 | 0.619178 | 0.558904 | 0 | 137 | 30.978102 | 93 |
victorhcunha/ExerciciosPython | 13,134,010,030,708 | 59128cf1d2bfdd41b7c62722f8c859c4ce4515ad | 763d0b857dd8316a6a2c0af97be58cbc6c747987 | /Programação 1/monitoria3.py | ad0a1b3873f3253ece2068e2b30d484adc4bbdf3 | [] | no_license | https://github.com/victorhcunha/ExerciciosPython | af60b737b5c9c8cadd93f9f02de171653c46eda7 | ba4f6b2324f62de85bb6d00b5263f6324e8ce667 | refs/heads/master | 2020-03-28T17:33:34.026276 | 2019-04-18T18:11:15 | 2019-04-18T18:11:15 | 148,801,374 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # Inteiros entre eles
n = int(input())
m = int(input())
if n < m:
for i in range(n+1,m):
print(i)
elif m < n:
for i in range(m+1,n):
print(i)
else:
print ("Iguais")
| UTF-8 | Python | false | false | 197 | py | 31 | monitoria3.py | 26 | 0.507614 | 0.497462 | 0 | 15 | 12.133333 | 26 |
tshrinivasan/tools-for-wiki | 11,261,404,297,454 | 0a2a9a914177944d3e807a54c34c80d0bd26c2f8 | f47655ddc23484f4804b0d654b23606c3bd53ac1 | /pdf-upload-commons/pdf-djvu-uploader-commons.py | 952f0b3091f44f92042094b375ac4a69399085eb | [] | no_license | https://github.com/tshrinivasan/tools-for-wiki | 51cb8b7744340f1bf610660b43d8430ef9d15a1d | 6fb975abd1a8edcb6d34461f0a650defd2e11ee6 | refs/heads/master | 2023-01-12T11:59:46.032571 | 2022-07-16T05:23:24 | 2022-07-16T05:23:24 | 48,401,880 | 6 | 11 | null | false | 2022-12-27T16:55:20 | 2015-12-22T00:44:53 | 2022-07-04T16:45:45 | 2022-12-27T16:55:19 | 478 | 6 | 9 | 25 | Python | false | false | #!/usr/bin/python
# -*- coding: utf-8 -*-
import wikitools
import poster
import pyexiv2
import os
import shutil
import sys
import time
import datetime
ts = time.time()
timestamp = datetime.datetime.fromtimestamp(ts).strftime('%Y-%m-%d-%H-%M-%S')
#wiki_url = "MediaWiki API url here"
wiki_url = "https://commons.w... | UTF-8 | Python | false | false | 3,291 | py | 51 | pdf-djvu-uploader-commons.py | 21 | 0.630167 | 0.625118 | 0 | 142 | 21.274648 | 271 |
Wytamma/Rosalind | 10,960,756,547,923 | 10c239bf600ba5aa7b2e7ccc6a01c4b9f16cb6ad | 8cfb139967d5f60072469158e2ed696a93a6d087 | /bioinformatics_stronghold/edit.py | 6b1d5e122dfe4c8d2659c167d9b98d0db3588e88 | [
"MIT"
] | permissive | https://github.com/Wytamma/Rosalind | 53efb19692b9271fc605a7e0f07df7b49642df20 | d3ffecc324f806df79c43bc9f89128b5d2a57dfb | refs/heads/master | 2023-04-14T15:53:29.051286 | 2021-04-26T06:48:54 | 2021-04-26T06:48:54 | 264,836,033 | 0 | 0 | MIT | false | 2021-04-26T06:48:55 | 2020-05-18T05:27:38 | 2021-02-28T06:22:47 | 2021-04-26T06:48:55 | 177 | 0 | 0 | 0 | Python | false | false | from pyoinformatics import read_fasta
from pyoinformatics.align import matrix
SAMPLE_DATASET = """>Rosalind_39
PLEASANTLY
>Rosalind_11
MEANLY"""
SAMPLE_OUTPUT = 5
def solution(dataset: list) -> str:
fasta = read_fasta(lines=dataset)
Seq1, Seq2 = fasta[0], fasta[1]
w, h = len(Seq1), len(Seq2)
# creat... | UTF-8 | Python | false | false | 1,777 | py | 38 | edit.py | 25 | 0.521666 | 0.466517 | 0 | 70 | 24.385714 | 70 |
AshwiniReddyChalla/TransferLearningForIntentClassification | 8,366,596,344,202 | 6b9d8fc30c4fc2b04d6fd5fb139f85db6d702b5a | e0f6dfce0e7b0c92dbeabb26bb48a803c53ecdf9 | /intent_classification/softmax_regression/train.py | b48db430d00a79e2e1982bbbf117d0ce88d1fd76 | [] | no_license | https://github.com/AshwiniReddyChalla/TransferLearningForIntentClassification | 4765212e44879f1ec4476569a0c619f65a273332 | 0752d099372a38732b151ac67ffad804d876044f | refs/heads/master | 2021-09-03T07:31:48.493456 | 2018-01-07T03:12:35 | 2018-01-07T03:12:35 | 108,052,925 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import tensorflow as tf
import sys
sys.path.append("../")
import atis_data
FLAGS = tf.app.flags.FLAGS
tf.app.flags.DEFINE_string("data_dir", '../../ATIS', "Data directory")
tf.app.flags.DEFINE_integer("in_vocab_size", 10000, "max vocab Size.")
tf.app.flags.DEFINE_string("max_in_seq_len", 20, "max in seq length")
tf.a... | UTF-8 | Python | false | false | 1,787 | py | 10 | train.py | 10 | 0.705092 | 0.688304 | 0 | 45 | 38.733333 | 89 |
guocongyun/basic-ml-projects | 18,399,639,915,957 | 84eeb9ba7313aeeb224f9cd8397c58dab3bfec0f | d702fd53c02117e8d41b8fddf8dcffb977305614 | /project2_heoffding_inequality.py | 1aa7a542cc07127ea93ebf3b7f421ba59b9a60f5 | [] | no_license | https://github.com/guocongyun/basic-ml-projects | 4c26ea96a388078baaf10683f5eb787a591cb0df | 259f6c224b75594591083eb3c8a0af939cd47f1d | refs/heads/master | 2023-04-22T02:16:21.019808 | 2021-05-07T08:37:55 | 2021-05-07T08:37:55 | 304,696,359 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import numpy as np
class coin:
def __init__(self):
self.head = 0
self.tail = 0
def flip(self):
if (np.random.randint(0,2,dtype=int) == 1): self.head += 1
# randint lower bound is inclusive, higher bound is exclusive
else: self.tail += 1
def simulation():
coin_li... | UTF-8 | Python | false | false | 992 | py | 16 | project2_heoffding_inequality.py | 15 | 0.52621 | 0.493952 | 0 | 43 | 22.093023 | 69 |
threkk/domino | 19,241,453,511,900 | 7cec0f0961ace3ad0facb3e0acca66751965c541 | 92978a00f2f767000cabaa092396e9192022f9b6 | /main.py | 42c1ceae59ba9d034bd5f1df3f4b1b77be918e9d | [] | no_license | https://github.com/threkk/domino | 8d18cced052859d4c8e71f47eed566503a600576 | 9c265307b8fe90d208ddf467b83aec26962b19cf | refs/heads/master | 2021-04-06T10:54:15.997363 | 2018-03-13T01:09:09 | 2018-03-13T01:09:09 | 124,470,231 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import argparse
from domino.game import Game
from domino.player import Player
def start_game(player_names):
"""
Starts a game with the given player names. It creates the players, draws 7
tiles for each and starts the game.
:param player_names: Name of the players to play the game.
"""
players... | UTF-8 | Python | false | false | 1,473 | py | 12 | main.py | 11 | 0.671419 | 0.668703 | 0 | 43 | 33.255814 | 79 |
iangelmx/big-data-visualization | 19,310,173,006,932 | 610d852cba6cdb2448b0e82b3cae85f9d9f7e32a | a144f1b97b2a9d1ffdd5ea1f4eb52dd79986987b | /extracting_fb_insights/extracting_data_fb_simple.py | ab7913f0a3cdecc7fd24354c830e50763e4fcc70 | [
"MIT"
] | permissive | https://github.com/iangelmx/big-data-visualization | 6bd08cf7c166438b618a3de6af2ac8531bbf78bb | 75d6cacc8dd33ec372af78f719e6cc31fe30d97d | refs/heads/master | 2022-11-21T08:19:05.696340 | 2020-07-25T02:31:02 | 2020-07-25T02:31:02 | 273,782,171 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | """
Script to get some analytics from a FB page and save to CSV/XLSX
This script was developed according the Visualization Big data's course in FCS.
This script helps people of marketing to get more information about the
activity in their social media page in Facebook in a free way.
To make it run you need to make an ... | UTF-8 | Python | false | false | 2,736 | py | 21 | extracting_data_fb_simple.py | 17 | 0.665934 | 0.650183 | 0 | 108 | 24.277778 | 132 |
frclasso/aulas_particulares_python | 3,496,103,386,223 | 5368d1372902e0ceec3f98691d377f1eb7054d18 | d02b09fb83041dbe10d34a74c152e87f08e451dc | /jessica_campos/aula3/script3.py | 0857a1648f36cb80a0d0145ed88d93a1c419ebf7 | [] | no_license | https://github.com/frclasso/aulas_particulares_python | d9d6da8127a0d02f117373572438266c67fe79fe | f877cd9b9ce2732b0cbb72922d3079e1b0d944b0 | refs/heads/main | 2023-07-29T18:15:02.452427 | 2021-09-17T22:20:01 | 2021-09-17T22:20:01 | 395,457,184 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null |
# comparacao
# retorna True ou False
valor_1 = 100
valor_2 = 200
# igualdade
print(valor_1 == valor_2)
# desigualdade
print(valor_1 != valor_2)
# maior que
print(valor_1 > valor_2)
# menor que
print(valor_1 < valor_2)
# maior ou igual
print(valor_2 >= 200.0)
# menor ou igual
print(valor_1 <= 100.01) | UTF-8 | Python | false | false | 309 | py | 55 | script3.py | 45 | 0.666667 | 0.579288 | 0 | 23 | 12.434783 | 26 |
Vitkof/MathSite_Django | 19,009,525,265,184 | 48a7e49ab0c153439e83bda2b44d47383df80853 | 4960df7d4a13528ba15f439b05fad9e5adec872b | /ctmath/apps/univers/models.py | 023d0ab65a46625167fd46bf01551011aae37768 | [] | no_license | https://github.com/Vitkof/MathSite_Django | 1cc5327223949742bb6fd570302ab0d95d0de68c | 5b149b7e417f80592b2199dcae8927f5c7096879 | refs/heads/main | 2023-02-04T17:40:31.661101 | 2020-12-27T22:00:36 | 2020-12-27T22:00:36 | 324,852,072 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from django.db import models
class UniverModel(models.Model):
title = models.CharField(max_length=32)
location = models.CharField(max_length=32)
overall = models.FloatField()
teaching = models.FloatField()
research = models.FloatField()
citations = models.FloatField()
industry_inco... | UTF-8 | Python | false | false | 670 | py | 20 | models.py | 12 | 0.691045 | 0.683582 | 0 | 18 | 35.222222 | 59 |
nguyenductinh1998py/PythonLab | 13,073,880,472,778 | 318d17c3f3db96445b570bb4fc2ccb889cb0a8d3 | 1c6a5eea04f1eddb584971d91679e0cb8ad93c16 | /Python_Lab_03/02.py | daf0fedd35f64f246b95d08749bcd3acbe50902d | [] | no_license | https://github.com/nguyenductinh1998py/PythonLab | 1dbccd9ca4f77f70acd6db2c86af3463270a91a8 | b9cf09150a7065d698e03189b8078c1c1f6e32f0 | refs/heads/main | 2023-02-08T09:28:03.435498 | 2021-01-04T14:09:35 | 2021-01-04T14:09:35 | 320,751,716 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #2d Lists
xs = [3, 1, 2]
print(xs, xs[2])
print(xs[-1])
xs[2] = 'foo'
print(xs)
xs.append('bar')
print(xs)
x = xs.pop()
print(x, xs)
nums = list(range(5))
print(nums)
print(nums[2:4])
print(nums[2:])
print(nums[:2])
print(nums[:])
print(nums[:-1])
nums[2:4] = [8, 9]
print(nums[2:4])
animals = ['cat', 'dog', 'monkey']
... | UTF-8 | Python | false | false | 1,608 | py | 73 | 02.py | 21 | 0.599502 | 0.567786 | 0 | 85 | 17.929412 | 60 |
dungeonmaster51/commcare-hq | 19,499,151,538,612 | 19d6598a935d3027daddeadccc883652c7fd6b13 | 81579ecd0678d652bbb57ff97529631fcfb74b12 | /corehq/apps/case_search/exceptions.py | 8c3f1551ca85967a52652a45fefb556d9aaad0f0 | [
"BSD-3-Clause"
] | permissive | https://github.com/dungeonmaster51/commcare-hq | 64fece73671b03c1bca48cb9d1a58764d92796ea | 1c70ce416564efa496fb4ef6e9130c188aea0f40 | refs/heads/master | 2022-12-03T21:50:26.035495 | 2020-08-11T07:34:59 | 2020-08-11T07:34:59 | 279,546,551 | 1 | 0 | BSD-3-Clause | true | 2020-07-31T06:13:03 | 2020-07-14T09:51:32 | 2020-07-30T16:37:59 | 2020-07-31T06:03:08 | 562,669 | 1 | 0 | 0 | Python | false | false | class CaseSearchException(Exception):
pass
class CaseSearchNotEnabledException(CaseSearchException):
pass
| UTF-8 | Python | false | false | 116 | py | 2,296 | exceptions.py | 1,577 | 0.810345 | 0.810345 | 0 | 6 | 18.333333 | 57 |
gregVader/french-accidents-nosql | 3,728,031,630,177 | 517fa3e3e758216be552c96b23e3531ece392c8f | e238f616a3c280c2e7f004c0448104ea3ed12673 | /loaders/characteristicsLoader.py | 652465bac0c753c08ba6194ce7d09f0210ca816e | [] | no_license | https://github.com/gregVader/french-accidents-nosql | c5302fbda4064db4d65f5e1f97ac862f6e9ad574 | 78cc78fb595fc7f819480f20c05fa2f49893d994 | refs/heads/main | 2023-06-06T13:15:43.153509 | 2021-06-13T22:26:38 | 2021-06-13T22:26:38 | 371,169,408 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import threading
import pandas as pd
import os.path
import json
from json import JSONDecoder
from json import JSONEncoder
from datetime import datetime
csvCharacteristics = "../dataset/characteristics.csv"
csvHolidays = "../dataset/holidays.csv"
csvPlaces = "../dataset/places.csv"
csvInsee = "../dataset/code-postal-c... | UTF-8 | Python | false | false | 8,063 | py | 18 | characteristicsLoader.py | 15 | 0.633759 | 0.621605 | 0 | 265 | 29.426415 | 152 |
Shmuma/pytorch_tests | 4,741,643,933,152 | a7eab207a9f84dd443e71b7bd85be44b8f3ddb46 | d18f2c659ab6290bca630aebf7da6e32b13fff17 | /char_rnn_classification/char_rnn/data.py | e76ad6bb529bbaf66b1daf89d1e77a4549f516da | [] | no_license | https://github.com/Shmuma/pytorch_tests | a30b47ef03e789261ad7063d1a6262295ab8369e | cded13e89559ad0e0b41ad8aad150469ac962dee | refs/heads/master | 2022-12-24T00:40:27.564634 | 2017-10-12T06:22:39 | 2017-10-12T06:22:39 | 96,669,907 | 0 | 0 | null | false | 2022-12-08T00:00:35 | 2017-07-09T08:04:52 | 2017-07-29T14:57:41 | 2022-12-08T00:00:35 | 10,804 | 0 | 0 | 6 | Python | false | false | import glob
import random
import os.path
import unicodedata
import string
ALL_ASCII_LETTERS = string.ascii_letters + " .,;'"
def all_filenames(data_dir="data"):
return glob.glob(os.path.join(data_dir, "*.txt"))
def read_file(file_path):
"""
Read data from file
:param file_path:
:return:
... | UTF-8 | Python | false | false | 2,316 | py | 46 | data.py | 29 | 0.645078 | 0.638601 | 0 | 85 | 26.247059 | 105 |
Mostofa-Najmus-Sakib/Applied-Algorithm | 8,220,567,404,626 | 49f99de6eb6adde3c196309377effc9845452c21 | f8e8e365c9cf58b61d72655bc2340baeaed5baff | /Leetcode/Python Solutions/Binary Trees/MaximumAverageSubtree.py | da1412cd36971bbda362196b84de9892df1bf4d8 | [
"MIT"
] | permissive | https://github.com/Mostofa-Najmus-Sakib/Applied-Algorithm | 39a69f6b9ed113efe4a420d19cad79e0aa317637 | bc656fd655617407856e0ce45b68585fa81c5035 | refs/heads/master | 2023-08-31T19:54:34.242559 | 2021-11-05T03:43:35 | 2021-11-05T03:43:35 | 412,263,430 | 0 | 0 | MIT | true | 2021-09-30T23:45:29 | 2021-09-30T23:45:25 | 2021-05-16T07:10:36 | 2021-05-16T07:10:34 | 840 | 0 | 0 | 0 | null | false | false | """
LeetCode Problem: 1120. Maximum Average Subtree
Link: https://leetcode.com/problems/maximum-average-subtree/
Language: Python
Written by: Mostofa Adib Shakib
Time Compplexity: O(n)
Space Complexity: O(n)
"""
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=No... | UTF-8 | Python | false | false | 1,413 | py | 503 | MaximumAverageSubtree.py | 500 | 0.610757 | 0.599434 | 0 | 40 | 34.35 | 87 |
shevchenkodim/django2_1 | 3,410,204,071,404 | 8df20cdfe614925a4b867d940f6935d282ec7d81 | ede51ecf2641440b04b264d2be02b7e651fa5c68 | /vikupauto/urls.py | b9faa89213febbc091ae23faa5ddd3d1ae6627e3 | [] | no_license | https://github.com/shevchenkodim/django2_1 | 8764308b2f475a2fe7ee7483d1e92b58f3141fac | 5576af559e41aaa3f1a0b58365d8efc46f47db26 | refs/heads/master | 2020-09-21T06:26:57.711599 | 2019-11-30T21:37:50 | 2019-11-30T21:37:50 | 224,709,388 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from django.conf import settings
from django.conf.urls.static import static
from django.contrib import admin
from django.urls import path, include
from . import views
from service.views import ServiceModel, ServiceModelView
urlpatterns = [
path('admin/', admin.site.urls),
path('feedback/', include('feedback.ur... | UTF-8 | Python | false | false | 552 | py | 3 | urls.py | 3 | 0.751812 | 0.751812 | 0 | 16 | 33.5 | 82 |
addy999/HemDetect | 10,883,447,151,641 | f06f7afc42667fd4d446396e646388a0bbf06674 | d5f5bf59d3e03cecb2c826a774faae7c8e9f85e3 | /Training/Scripts/tl.py | ed282e9f0f1effc9526a2cf7cf66a9a2cb78f326 | [] | no_license | https://github.com/addy999/HemDetect | 84fb2a7e0bd41c9e9485a0a0c4021a3c0ccfe034 | 77bbe2758fb8c02ae2dfa13619d3659357a06724 | refs/heads/master | 2021-06-28T13:42:41.749945 | 2021-01-29T18:52:57 | 2021-01-29T18:52:57 | 212,179,860 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import torch.nn as nn
import torchvision.models
import torch.nn.functional as F
import torch.optim as optim
import torchvision
import torchvision.transforms as transforms
from torchvision import datasets
import numpy as np
import matplotlib.pyplot as plt
import time
import torch
import gc
import os
# alexnet_model_1
... | UTF-8 | Python | false | false | 983 | py | 112 | tl.py | 24 | 0.771109 | 0.734486 | 0 | 34 | 27.911765 | 85 |
nikkygleeson/secrets | 9,156,870,314,818 | 5c1930467ba646556bd05ae84898ddaca079f08c | 002956c05f53e5762c86f2f9e4710e8b1774a98d | /src/secrets/secrets.py | aa8abd00f80278aa58995745920e819889060be9 | [
"MIT"
] | permissive | https://github.com/nikkygleeson/secrets | 956af2123f60a659c25b3a3c4733605ab904ad05 | c70623a6bf724f286cfd2401bb79e7ae5250f150 | refs/heads/master | 2023-04-29T03:31:16.619543 | 2021-05-25T02:38:21 | 2021-05-25T02:38:21 | 361,356,661 | 0 | 1 | null | false | 2021-05-05T02:46:05 | 2021-04-25T07:08:50 | 2021-04-25T07:15:32 | 2021-05-05T02:46:04 | 8 | 0 | 1 | 0 | null | false | false | def hex_cipher_encryptor(message: str) -> str:
"""Encrypts a given message using a Hex Cipher (converts characters to their hexadecimal equivalents).
Args:
message (str): Message to be encrypted.
Returns:
encrypted_message (str): Encrypted message.
"""
encrypted_message = "".join([... | UTF-8 | Python | false | false | 6,076 | py | 5 | secrets.py | 4 | 0.637591 | 0.633476 | 0 | 197 | 29.84264 | 116 |
sw-Jack/Python | 16,561,393,922,169 | 764bd8023c1d51394841cabf1422a4c32555194d | 2fae7d7ba6b2a4590fd4d90b1a491e919ec744de | /myPy/day05/day05-exam04-이분탐색with알고리즘&재귀호출.py | 1ff0a0ea2d2b513b60e154044a4f63f0e09f8cbc | [] | no_license | https://github.com/sw-Jack/Python | 0952ded606f79c07c77a021b075e09b1e95caca4 | c139301bf3a98f9b5289807ca8141febb947603b | refs/heads/master | 2023-02-02T11:06:18.264799 | 2020-12-21T13:11:32 | 2020-12-21T13:11:32 | 290,997,124 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # 이분 탐색
# 자료가 이미 정렬되어 있다는 전제.
# 자료가 있으면 위치값을 알려주고 없으면 -1
# 알고리즘
# (1) 중간 위치를 찾는다
# (2) 찾는 값과 중간 위치의 값을 비교한다.
# (3) 같으면 해당 값의 위치를 반환한다
# (4) 찾는 값이 중간 값보다 크다면 중간 값 기준 오른쪽을 대상으로 다시 검색한다.
# (5) 찿는 값이 중간 값보다 작다면 중간 값 기준 왼쪽을 대상으로 다시 검색한다.
# 코드
def binary_search(lst,x) :
start = 0
end = len(lst) - 1
while sta... | UTF-8 | Python | false | false | 2,011 | py | 70 | day05-exam04-이분탐색with알고리즘&재귀호출.py | 70 | 0.551844 | 0.507307 | 0 | 65 | 20.538462 | 59 |
hellais/ooni-probe | 14,482,629,722,813 | 2786191e82d8d3071cde9a36d997e530868041b5 | b156f49432b11047f5aa390dc93de1a9920ebf30 | /ooni/director.py | 21ac9fc252de51b52f1d8fe3aca6587d61ce72fd | [
"BSD-2-Clause-Views"
] | permissive | https://github.com/hellais/ooni-probe | 8b2fad5aa7eb1eda6a089f75164ca18ec80e7535 | 2764cc2bca9fc60f978b3361ab2e8de372bc5af6 | refs/heads/master | 2021-01-16T17:42:56.589164 | 2014-05-27T22:10:46 | 2014-05-27T22:10:46 | 3,614,533 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | null | null | import os
from ooni.managers import ReportEntryManager, MeasurementManager
from ooni.reporter import Report
from ooni.utils import log, pushFilenameStack
from ooni.utils.net import randomFreePort
from ooni.nettest import NetTest, getNetTestInformation
from ooni.settings import config
from ooni import errors
from txto... | UTF-8 | Python | false | false | 13,480 | py | 103 | director.py | 73 | 0.555341 | 0.552893 | 0 | 373 | 35.13941 | 96 |
juanmacugat/google-ads-python | 17,497,696,782,872 | a30f9450589891dbc20625023f374c3d090a90b3 | 555b9f764d9bca5232360979460bc35c2f5ad424 | /examples/billing/get_billing_setup.py | 34f1109f8fe2deb1285c7be7ff9f6402d1762502 | [
"Apache-2.0",
"LicenseRef-scancode-generic-cla"
] | permissive | https://github.com/juanmacugat/google-ads-python | b50256163782bc0223bcd8b29f789d74f4cfad05 | 0fc8a7dbf31d9e8e2a4364df93bec5f6b7edd50a | refs/heads/master | 2021-02-18T17:00:22.067673 | 2020-03-05T16:13:57 | 2020-03-05T16:13:57 | 245,215,877 | 1 | 0 | Apache-2.0 | true | 2020-03-05T16:39:34 | 2020-03-05T16:39:33 | 2020-03-05T16:14:00 | 2020-03-05T16:13:58 | 3,865 | 0 | 0 | 0 | null | false | false | #!/usr/bin/env python
# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | UTF-8 | Python | false | false | 3,966 | py | 379 | get_billing_setup.py | 375 | 0.645487 | 0.641704 | 0 | 89 | 43.561798 | 80 |
hess8/pythonscripts | 6,597,069,816,546 | 62bd819f6c05c400e9283977f4cfe30738e1b3fa | e6cc536dbb43a4dc0da4c21f76b5b61058f5e53e | /cluster_expansion/ceflashscripts/submitVasp.py | 49049ee5a0b4532ed0472ff1738a7728d6ec93a4 | [] | no_license | https://github.com/hess8/pythonscripts | 2f8df626f0c12baf205845ba41654b6cd59280b2 | a048b60c96254576f32ec67164cc8ed64cca2486 | refs/heads/master | 2021-01-18T20:25:11.141331 | 2019-03-29T03:27:48 | 2019-03-29T03:27:48 | 6,807,456 | 0 | 1 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!/usr/bin/python
import time, os, subprocess
'''For each dir in jobs2run: copies POSCAR.orig to POSCAR, replaces kpoints file with correct mesh for POSCAR,
reads a jobfiles from the maindir,writes the structure number to the job name, and submits a vasp job
'''
#!/usr/bin/python
''' tests. '''
import sys,os
impor... | UTF-8 | Python | false | false | 1,822 | py | 181 | submitVasp.py | 160 | 0.569704 | 0.553787 | 0 | 48 | 36.895833 | 120 |
Lusenaka/SENDIT_COURIER | 7,533,372,657,663 | 119a72541a0e41d958600b3f4953f1784531ce06 | df1735507951f72f147a82b882996dd59d90da30 | /app/api/v1/models.py | 9ad9ada176a66aafee2cb01cfb77059458d07d05 | [
"MIT"
] | permissive | https://github.com/Lusenaka/SENDIT_COURIER | bab6f63a14635f8fd227400d2c817ab8f9ec9238 | b87fcd6917751bacd82fbf103bfbf2f7b578601a | refs/heads/ft-correctionsbranch-161962988 | 2022-12-11T04:37:20.608098 | 2018-11-15T14:07:52 | 2018-11-15T14:07:52 | 157,015,049 | 0 | 0 | MIT | false | 2022-05-25T01:53:56 | 2018-11-10T19:39:00 | 2018-11-15T14:08:27 | 2022-05-25T01:53:56 | 22 | 0 | 0 | 9 | Python | false | false | from flask import make_response, jsonify, request
from flask_restful import reqparse
users = [
{
"user_id" : 23,
"username" : "Alvin",
"email": "Alvin@gmail.com",
"default_location":"Kiambu",
"password":1234
},
{
"user_id" : 45,
"username" : "Charity... | UTF-8 | Python | false | false | 4,863 | py | 14 | models.py | 11 | 0.549455 | 0.539379 | 0 | 157 | 29.974522 | 109 |
blacktyger/epicentral | 2,276,332,683,365 | d226c5de5b94cd12d21d6ec07a1599fb847bd7c6 | ddfb5fb11498ed28c2e7bac4a32e7d965df3c842 | /app/db.py | 129ba435a041f0de16c3938d3da590564e2bfef0 | [] | no_license | https://github.com/blacktyger/epicentral | 955e62d91132bfac197ce3fecbf9e76bd7aee99e | 498e9168b6d6be5bf18b5b8d4f9b8d7dfe052e5f | refs/heads/master | 2023-02-20T08:30:04.323734 | 2021-01-25T13:35:16 | 2021-01-25T13:35:16 | 332,756,580 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import json
from decimal import InvalidOperation, Decimal
from live_trader import citex_api as citex
import requests
from vitex_api_pkg import VitexRestApi
def d(value, places=8):
try:
return round(Decimal(value), places)
except (InvalidOperation, ValueError):
if value == '' or ' ' or []:
... | UTF-8 | Python | false | false | 3,551 | py | 7 | db.py | 4 | 0.484934 | 0.482681 | 0 | 99 | 34.868687 | 113 |
Anjaan-g/learning-rest-framework | 5,841,155,569,744 | cfd49e68eb1433480373da71e398286612df3c86 | c9cf349d854028b7f34b546dea3b3ffef8813713 | /api_eg/api/urls.py | 554dd68fe127592976d611b997eb494bb8c68dc4 | [] | no_license | https://github.com/Anjaan-g/learning-rest-framework | da4b7a5ae731513cd42d08c763618917ddbaf8ca | b2c619d0ab246c7afec9d29e695ad889e3d64e82 | refs/heads/master | 2020-05-26T21:58:21.729213 | 2019-05-25T08:48:21 | 2019-05-25T08:48:21 | 188,388,594 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from django.urls import path, include
from . import views
from rest_framework import routers
router = routers.DefaultRouter()
router.register('colleges', views.CollegeView)
router.register('jobs', views.JobView)
router.register('addresses', views.AddressView)
urlpatterns = [
path('', include(router.urls)),
... | UTF-8 | Python | false | false | 322 | py | 6 | urls.py | 6 | 0.748447 | 0.748447 | 0 | 14 | 22 | 47 |
vinaynv3/AlgorithmsDatastructures | 5,291,399,717,580 | 40a98cfb140981a547428beaca84348fb9a3a23c | 903981282e102869d8ec8fce99b2d9f176c2e922 | /PgEx_1/circuit_connection.py | 700ed01a37f54b3b44cfbafb09a1637c63c77a38 | [] | no_license | https://github.com/vinaynv3/AlgorithmsDatastructures | 98faeb559144b6e6221efc64bdf06749a75bd1dc | b6a7d6db8230c86c5fddec593ba61989eadc72bb | refs/heads/master | 2020-05-31T17:55:33.499985 | 2020-05-10T21:19:51 | 2020-05-10T21:19:51 | 190,420,671 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | '''
Connector class contains logic gate circuit design.
'''
#from logic_gates import Binary, Unary
class Connector:
#Constructor
def __init__(self, fromGate,toGate):
self.fromGate = fromGate
self.toGate = toGate
def execute(self):
result = self.fromGate.getOutput()
self.to... | UTF-8 | Python | false | false | 416 | py | 14 | circuit_connection.py | 12 | 0.653846 | 0.653846 | 0 | 17 | 23.470588 | 51 |
MUKHERJEE3112/Letsupgrade-Python_b7 | 4,793,183,551,467 | 8a6957214fe8d2404ff9ab1d4ca0cb167c872689 | beb4ea00895b368f7f77565aac59c5846f58b6cd | /DAY4.py | 2d89b8aa37bcd307ed4a52536a8d3c003f334c6a | [
"Apache-2.0"
] | permissive | https://github.com/MUKHERJEE3112/Letsupgrade-Python_b7 | 93db84a5722e62702bafde6dd0dbf9c2fa9b26e3 | 9a60cada5fdda813d53956135acb975f19950191 | refs/heads/master | 2022-12-08T18:19:06.991025 | 2020-09-06T14:20:12 | 2020-09-06T14:20:12 | 293,288,262 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | '''WAP TO FIND THE ARMSTRONG NUMBER FROM 1042000 TO 702648265
AND EXIT THE LOOP AS SOON AS YOU ENCOUNTER THE FIRST ARMSTRONG NUMBER'''
#THE NUMBERS GIVEN BY THE USER IS STORED IN start AND end
start = int(input('ENTER THE STARTING VALUE :'))
end = int(input('ENTER THE ENDING VALUE :'))
for num in range(start,end... | UTF-8 | Python | false | false | 543 | py | 4 | DAY4.py | 3 | 0.615101 | 0.572744 | 0 | 16 | 31.5625 | 72 |
Angelpacman/Dataschool | 18,339,510,354,916 | 0dd6947b3c112a9f2c2285e1a5479de8afca9bdf | 85668736ab6034ced0afca7ce7320e403e8c688f | /scripts/19 Loc, iLoc, iax.py | a5a1fa2a19129eee8f2a071b17da822928002796 | [] | no_license | https://github.com/Angelpacman/Dataschool | e36b667e6677c767f96166f27a273762d91d1470 | c30221337d7a8654b4e76a808ff5957308255cfb | refs/heads/master | 2022-11-10T03:35:12.203224 | 2020-06-26T04:20:14 | 2020-06-26T04:20:14 | 268,156,678 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!/usr/bin/env python
# coding: utf-8
# # How do i select multiple rows and columns?
# - Basicamente loc iloc y iax son metodos para seleccionar filas y columnas
# In[1]:
import pandas as pd
# In[2]:
#ufo = pd.read_csv('http://bit.ly/uforeports')
ufo = pd.read_csv('uforeports.csv')
ufo
# ## Loc
# - Loc sirv... | UTF-8 | Python | false | false | 3,344 | py | 27 | 19 Loc, iLoc, iax.py | 23 | 0.691709 | 0.669859 | 0 | 173 | 18.289017 | 241 |
LXL1314/d2l | 18,640,158,073,443 | 1fd2c4ea64984d9ab16b85cc4ecf0b23dc2f69f6 | 7805346e05b101a02a1c2df7927577fc909a5ce6 | /chapter3_deep-learning-basics/softmax_fashion_mnist.py | ab2c642421f786973abb58de219757497e5f331b | [] | no_license | https://github.com/LXL1314/d2l | 9a9819a576a79fb562518a3564ded36771addeaf | cfdec5c771cd655571ebf7a143407b0155fe9cc0 | refs/heads/master | 2022-10-18T18:08:13.971814 | 2019-08-04T02:59:42 | 2019-08-04T02:59:42 | 200,372,631 | 0 | 1 | null | false | 2022-10-09T00:35:06 | 2019-08-03T12:23:50 | 2019-08-04T03:03:23 | 2022-10-09T00:35:06 | 375,827 | 0 | 1 | 1 | Jupyter Notebook | false | false | from mxnet import nd
import fashion_mnist as fm
batch_size = 256
train_iter, test_iter = fm.load_data_fashion_mnist(batch_size)
num_inputs = 784
num_outputs = 10
W = nd.random.normal(scale=0.01, shape=(num_inputs, num_outputs))
b = nd.zeros(num_outputs)
W.attach_grad()
b.attach_grad()
def softmax(X):
X_exp = X... | UTF-8 | Python | false | false | 1,043 | py | 40 | softmax_fashion_mnist.py | 38 | 0.670182 | 0.644295 | 0 | 38 | 26.447368 | 91 |
deweerdt/condure | 13,889,924,241,740 | 51aebbc1030545f6f22350386a49095124f72892 | ff5c1d83496e34f8dce74d439e41798c25177c1b | /examples/streamhandler.py | c5a278fb328374d93dc9fe32c0793842a4826466 | [
"Apache-2.0"
] | permissive | https://github.com/deweerdt/condure | abea0c88cbb71c37cf8384a9cc03e3ae67d8da4f | 7f2f9e3987781ee31e3130f918d5bb0ad7769df4 | refs/heads/master | 2023-08-26T01:36:01.314990 | 2021-10-25T05:33:40 | 2021-10-25T05:33:40 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # this handler responds to every request with "hello world"
import os
import tnetstring
import zmq
instance_id = 'streamhandler.{}'.format(os.getpid()).encode('utf-8')
ctx = zmq.Context()
in_sock = ctx.socket(zmq.PULL)
in_sock.connect('ipc://client-out')
in_stream_sock = ctx.socket(zmq.ROUTER)
in_stream_sock.identit... | UTF-8 | Python | false | false | 2,627 | py | 32 | streamhandler.py | 28 | 0.546631 | 0.538257 | 0 | 90 | 28.188889 | 68 |
jturibe/spicy_chorizo | 11,458,972,766,111 | 10682108476a38523412eb658337d1969793db24 | 47b906d5ac12d831418c0fb5d8d1ea864df34621 | /Server/server.py | 078de4716018ac3c703d9edaaa4a4064a3d1fa38 | [] | no_license | https://github.com/jturibe/spicy_chorizo | f150f6b2e6cb41f28468e76457cd8152ad1caaaa | 670c71a0be4a45302572ff1ad9022bbb988ff8bd | refs/heads/master | 2022-04-03T16:58:08.078900 | 2020-02-13T13:09:49 | 2020-02-13T13:09:49 | 237,996,573 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import paho.mqtt.client as mqtt
import ssl
import json
from firebase import firebase
import datetime
import statistics
import numpy as np
import firebase_admin
from firebase_admin import db
from firebase_admin import credentials
from firebase_admin import messaging
import matplotlib.pyplot as plt
import seaborn
import... | UTF-8 | Python | false | false | 38,324 | py | 12 | server.py | 6 | 0.586278 | 0.564408 | 0 | 934 | 40.025696 | 169 |
linhduongtuan/Kaggle-2020-Alaska2 | 3,633,542,352,357 | 600daa6944ca3d0538179c80f7b2c3ed97923e1f | c8026a5a31befa11c25e6d00d719af349635a4c5 | /submissions/make_submissions_lgbm_gs.py | ade6cc9145643743c28e22c207aaaab9e8b8ee74 | [
"MIT"
] | permissive | https://github.com/linhduongtuan/Kaggle-2020-Alaska2 | 97cb890b8328d0e99d0a9225364f9b6af4f6a70c | 3c1f5e8e564c9f04423beef69244fc74168f88ca | refs/heads/master | 2023-01-11T09:10:15.601495 | 2020-08-09T13:23:17 | 2020-08-09T13:23:17 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import os
# For reading, visualizing, and preprocessing data
import numpy as np
import pandas as pd
import torch
import torch.nn.functional as F
from pytorch_toolbelt.utils import fs
from sklearn.metrics import make_scorer
from sklearn.model_selection import GroupKFold, RandomizedSearchCV, GridSearchCV
from sklearn.pr... | UTF-8 | Python | false | false | 4,657 | py | 218 | make_submissions_lgbm_gs.py | 161 | 0.649775 | 0.610049 | 0 | 132 | 34.280303 | 118 |
reparadocs/ExtraLettuce | 9,431,748,194,933 | 3ea5d7e57bbbac18f09cdac3e2a4b921e7244ec7 | fe19fe1495b93b9f11abe1b41d088c99fae28895 | /accounts/migrations/0005_auto_20160117_0512.py | d61c502eec683c1049c3e48ddd19db828aac2d4a | [] | no_license | https://github.com/reparadocs/ExtraLettuce | c464e5d2c100c4e2ba6a3e97e17d52f89a5b94f1 | 5e9f9f95d64e05b494f019ad6f8c4455ada51abe | refs/heads/master | 2021-01-09T06:40:30.460078 | 2016-01-17T21:56:11 | 2016-01-17T21:56:11 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
('accounts', '0004_account_token'),
]
operations = [
migrations.CreateModel(
name... | UTF-8 | Python | false | false | 1,094 | py | 10 | 0005_auto_20160117_0512.py | 6 | 0.542962 | 0.531993 | 0 | 38 | 27.789474 | 114 |
alireza-ansaripour/quizyar | 10,256,381,933,119 | 01eee450f4f3f0b60b30dea310ad8f5526b79ca6 | 9f604e9700f906f95d180055709e123f2edfb3de | /Quizyar/quiz/views.py | b336a39ba2091ddf5e5c0a4a74f2ac5c209dd3c9 | [] | no_license | https://github.com/alireza-ansaripour/quizyar | 496c4ecc09e895791df6c1b34d5a57439c202132 | 8eab7d74c79825908de2ceb76e8627fb3889d361 | refs/heads/master | 2016-09-06T05:27:42.591868 | 2015-09-17T07:14:54 | 2015-09-17T07:14:54 | 42,368,950 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # -*- coding: utf-8 -*-
from django.http import HttpResponse
import datetime
from django.shortcuts import render, redirect
from django.views.decorators.csrf import csrf_exempt
from rest_framework.renderers import JSONRenderer
from rest_framework.views import APIView
from Quizyar.models import Teacher, Tag, Student
from... | UTF-8 | Python | false | false | 8,887 | py | 45 | views.py | 17 | 0.544166 | 0.54169 | 0 | 231 | 37.471861 | 156 |
qualorm/adventofcode | 16,157,666,987,974 | d0692245bd779e906c8a540e8d8a084dfddaa251 | 561fec987d13956f97579136fb18af62dd05f96b | /2020/18/18_1.py | b1970f420a331d5b11b1eb03e7ac14cd4ff4ca61 | [] | no_license | https://github.com/qualorm/adventofcode | a7f5052212b19017587bbf9180240e5425b8ee64 | 94b0dde342cd33400418a4ccd5258f620fe9d169 | refs/heads/master | 2023-04-22T07:34:28.816980 | 2021-12-14T12:16:48 | 2021-12-14T12:16:48 | 319,268,052 | 2 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | def solve(eq):
i = 0
nested = 0
if '(' in eq or ')' in eq:
for i in range(len(eq)):
if eq[i] == '(':
nested += 1
if nested == 1:
ind_left = i
if eq[i] == ')':
nested -= 1
if nested == 0:
... | UTF-8 | Python | false | false | 2,493 | py | 89 | 18_1.py | 88 | 0.380265 | 0.365423 | 0 | 65 | 37.369231 | 104 |
ImDaeseong/VocaKnow | 6,786,048,362,472 | 703950ad661179548a2accf6247216d81500729d | 781ea21caed5a6623af1d2cee91b8fe12eb84e3c | /convertExcel/readcsv/csv.py | e6becbc60e1a6217163e96bfbb2dede375d34249 | [] | no_license | https://github.com/ImDaeseong/VocaKnow | 72b6ff303e7b954856a246c1727030881a11383c | 6231083a88cecb446fbc2793e1961b527a1c4a87 | refs/heads/master | 2023-03-16T15:12:55.860029 | 2021-03-19T09:27:11 | 2021-03-19T09:27:11 | 106,758,001 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import openpyxl
if __name__ == '__main__':
file = open('E:/kata.txt', 'w', encoding='utf8')
xls = openpyxl.load_workbook("aa.xlsx")
sheet = xls["Sheet1"]
for row in sheet.rows:
index = row[0].row
# print(index)
if index == 1:
continue
sPart1 = row[1].val... | UTF-8 | Python | false | false | 735 | py | 4 | csv.py | 1 | 0.515646 | 0.487075 | 0 | 28 | 25.25 | 116 |
kerneltravel/tinman | 4,827,543,282,300 | 7a815bf5978960a1f628e719b0ceea74080cef9c | ffd896db3fb79a117db50dc6197d0290084e0e39 | /tinman/handlers/redis_handlers.py | af4100745a31826485cf0d394b4eb4914bb82661 | [
"BSD-3-Clause"
] | permissive | https://github.com/kerneltravel/tinman | 52141885204b247b155e35830744b84445c28b47 | 2a7a59aabba340e98a938cc5ce39c547e196fd63 | refs/heads/master | 2021-01-16T20:05:40.538515 | 2013-09-25T02:20:22 | 2013-09-25T02:20:22 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | """The RedisRequestHandler uses tornado-redis to support Redis. It will
auto-establish a single redis connection when initializing the connection.
"""
import logging
from tornado import web
LOGGER = logging.getLogger(__name__)
class RedisRequestHandler(web.RequestHandler):
"""This request handler will connect t... | UTF-8 | Python | false | false | 2,978 | py | 9 | redis_handlers.py | 8 | 0.650772 | 0.647414 | 0 | 91 | 31.725275 | 80 |
haveitjoewei/eventfinder | 7,224,135,019,297 | 3a3d5374fc5939544801b1ea9993ab794bf292b9 | fa1070295bc0ede61bc743fca96181135d56522c | /hello/templatetags/map_category.py | 45e830f72f81d7f3de9ce3c7bea1ab5b3cd628d3 | [] | no_license | https://github.com/haveitjoewei/eventfinder | da6aa1511af7385525c91faa2c133d09dba627cb | 6ae5769d42f7ba28229fb255dd8b46d00f81bed1 | refs/heads/master | 2018-01-09T04:52:50.250292 | 2016-01-26T12:26:21 | 2016-01-26T12:26:21 | 49,937,334 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from django import template
register = template.Library()
@register.filter
def map_category(value):
categories = {
'101': 'Business & Professional',
'102': 'Science & Technology',
'103': 'Music',
'104': 'Film, Media & Entertainment',
'105': 'Performing & Visual Arts',
'106': 'Fashion & Beauty',
'107': ... | UTF-8 | Python | false | false | 759 | py | 17 | map_category.py | 10 | 0.612648 | 0.533597 | 0 | 29 | 25.206897 | 39 |
XiDian-ChenMiao/python-master | 7,567,732,416,904 | 6d4ed9d80f9921f000524233e7ad814968d6b567 | 9da6fdee6122604e4820b1e397c40eec6bfb02e9 | /simple/config-parser.py | 6b0df929f77d3c2fc4cd44546f2cc477791b5ebb | [] | no_license | https://github.com/XiDian-ChenMiao/python-master | 54c76d1b0888388972fd9ab4ad3e780c786fe779 | 673993d4d197138e89c2952d2be64b95463b19e9 | refs/heads/master | 2021-01-01T15:37:23.283938 | 2020-07-26T04:01:54 | 2020-07-26T04:01:54 | 97,656,390 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # coding:utf-8
# Version: 0.1
# Author: DAQINZHIDI
# License: Copyright(c) 2016 Miao.Chen
# Summary: 测试Python的解析模块ConfigParser
import configparser
cp = configparser.ConfigParser()
cp.read('config.ini', encoding='utf-8')
sections = cp.sections()
print('Sections:', sections)
opts = cp.options('sec_a')
print('Options in ... | UTF-8 | Python | false | false | 761 | py | 121 | config-parser.py | 121 | 0.666667 | 0.649123 | 0 | 25 | 28.64 | 47 |
js-tutul/Jsblog | 369,367,212,494 | 98ca2a5015a86ae0e452014de6646746f096ef2e | b0fdc04fab517802ca3277d19099c61211a609f5 | /accounts/views.py | a00e91e9591d13fd50c753959484749aa846d742 | [] | no_license | https://github.com/js-tutul/Jsblog | 38aff00d9be652a9f83e30ff3058acaf5a04dbed | da001fd7eac1a60e1785669f96cf2dbf73212b33 | refs/heads/master | 2022-12-12T16:24:38.466319 | 2020-09-12T17:49:14 | 2020-09-12T17:49:14 | 275,648,059 | 0 | 1 | null | null | null | null | null | null | null | null | null | null | null | null | null | import tempfile
from django.utils.html import strip_tags
import requests
from django.contrib.auth import logout, authenticate, login
from django.contrib.auth.models import User
from django.contrib.sites.shortcuts import get_current_site
from django.core import files
from django.core.mail import EmailMessage
from django... | UTF-8 | Python | false | false | 8,435 | py | 30 | views.py | 14 | 0.620747 | 0.615768 | 0 | 215 | 38.237209 | 128 |
sangyu1996/PythonByte | 12,704,513,303,922 | 9b9e1315cf373cde21ad08c85d9540ea9d564ade | 2128bc02edfda53ee1d9a85521e6afc5ac2fde74 | /advanced_train/multi_threaded_and_multi_process/version_1.py | 7b038f540bbe420526833c74e24596b8146add44 | [] | no_license | https://github.com/sangyu1996/PythonByte | 9853d8b16c5040cee54451d04a36e97b6e4f3053 | 3c4024198f120954f0275e1a6236c90292897fff | refs/heads/master | 2020-03-23T09:31:01.982063 | 2019-03-11T03:35:17 | 2019-03-11T03:35:17 | 141,392,484 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # coding=utf-8
# version 1 :下载.csv格式的文件并转换为.xml格式
import tushare as ts
import csv
from xml.etree.ElementTree import Element, ElementTree
def download(sid, cfname):
df = ts.get_hist_data(sid)
df.to_csv(cfname)
def csvToXml(cfname):
with open(cfname, 'rb') as cf:
reader = csv.reader(cf)
h... | UTF-8 | Python | false | false | 838 | py | 96 | version_1.py | 88 | 0.560345 | 0.550493 | 0 | 38 | 20.368421 | 54 |
fcherqui/Mind4stormwater | 16,956,530,899,058 | 91e577d85fc0ff0c3b769a465fe2eb6667994b80 | 5e7dbdb33c25682bef058847fd8fd7ac6afbfd9c | /Pressure-sensor/config.py | c1d5359bed1b6f384b1507956e8216466e7346bd | [] | no_license | https://github.com/fcherqui/Mind4stormwater | 0bac3ac11e3550ee4d6223e7c9db75ac4f73d72a | ad5ff727c1591657a0db3f5cc3aa3daa91cb2674 | refs/heads/master | 2022-11-01T12:14:04.444174 | 2022-10-31T14:33:52 | 2022-10-31T14:33:52 | 240,187,448 | 3 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | ########################
# CONFIG FILE !!!!
########################
# PARAMETERS
loraok= False # Send data through Lora ?
sigfoxok=True # Send data through Sigfox ?
needsleep= True # Enable deep sleep
powersaving= True # Optimize the code for power saving
nsensors=2 #number of probes, min=1, max=3
withRTC=Fal... | UTF-8 | Python | false | false | 1,491 | py | 49 | config.py | 18 | 0.705567 | 0.619048 | 0 | 44 | 31.886364 | 98 |
Harshit-Poddar90/hacktoberfest2K | 9,861,244,955,368 | ea255d0e7684852258b98492dc6261ac42079c61 | 9d460da8d8d81a7b79abeef2b06f729a49cfe268 | /2k20/scripts2020/vokey-nick.py | 52c5c1640b9a71cef9c0fa90eb32d54388a3e591 | [] | no_license | https://github.com/Harshit-Poddar90/hacktoberfest2K | fc9ab524af2325ad278dff3c368aadae53fcec81 | c67ba3c3b7150b20d5ae0fff42a19323f7f0289f | refs/heads/master | 2023-08-14T12:03:41.894852 | 2021-10-01T19:34:57 | 2021-10-01T19:34:57 | 412,990,115 | 1 | 0 | null | true | 2021-10-03T05:58:44 | 2021-10-03T05:58:43 | 2021-10-01T19:35:00 | 2021-10-02T15:51:36 | 105 | 0 | 0 | 0 | null | false | false | def hacktoberfest():
a = "hack"
b = "tober"
c = "fest"
return (a+b+c)
print(hacktoberfest())
| UTF-8 | Python | false | false | 110 | py | 24 | vokey-nick.py | 21 | 0.536364 | 0.536364 | 0 | 7 | 14.714286 | 22 |
zmanaa/Lane-Detection | 10,548,439,722,851 | dd6470764ff0460ee361149b6bacd1100a9214c0 | c4cec2815d27a7974564173cbc19db518250739f | /Utils/constants.py | 29d7356ccc59f7f8619f214ed75b0273ffb1b237 | [] | no_license | https://github.com/zmanaa/Lane-Detection | b28dd2ef8027a901a157367091ed10f62196f012 | f4362463490cbd9499abcdeaa5d63a1d807a72ed | refs/heads/main | 2023-08-10T19:13:15.611726 | 2021-10-06T21:08:15 | 2021-10-06T21:08:15 | 413,600,365 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import numpy as np
PIXELS = 2
PERC = np.pi/180
THRESHOLD = 100
LINEPIX = 40
LINEGAPS = 5
LINEWIDTH = 10
| UTF-8 | Python | false | false | 128 | py | 5 | constants.py | 4 | 0.578125 | 0.484375 | 0 | 8 | 15 | 23 |
anthony-aylward/wasp_map | 1,778,116,465,113 | b3baeefa275bfe6bd2da25e9b2a35a08e16d8492 | 528ca20a0b137b2ad82a0217e52e9c68ac9d27ff | /wasp_map/download.py | 558714f85003786ffe5a29c5fdb00e26937584eb | [
"MIT"
] | permissive | https://github.com/anthony-aylward/wasp_map | 6de4df8a26d8903beb7cdec1c6accca5162b3470 | eadf96c44bb81e416c43ce2e33b7fbb164772cce | refs/heads/master | 2021-06-23T07:44:26.617311 | 2021-02-26T10:04:02 | 2021-02-26T10:04:02 | 194,727,772 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #===============================================================================
# download.py
#===============================================================================
# Imports ======================================================================
import os
import os.path
import subprocess
from argparse imp... | UTF-8 | Python | false | false | 4,989 | py | 8 | download.py | 7 | 0.569854 | 0.554821 | 0 | 151 | 32.039735 | 80 |
sthomen/zc | 6,717,328,863,504 | 8d3ffd3cb2682161584439a594d8b377367e466a | 7eb3bd3389b15f90fe4e8eb556ec566ff6db832b | /zc/dns/rr/a.py | f4898f696b7615458c86bd5195cac2541ab0f815 | [] | no_license | https://github.com/sthomen/zc | d69ce685d0579dd8d0a5e938e04d40a2ca956774 | 7d26a2b4d073fa8dedf15fb5492ff706ab095c92 | refs/heads/master | 2023-06-03T22:38:31.047734 | 2020-11-14T20:08:03 | 2020-11-14T20:08:03 | 377,566,555 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from struct import unpack
from .rdata import RData
from ..util import sub
from .rrplugin import RRPlugin
@RRPlugin.register(type=1)
class A(RData):
def decode(self):
self.raw = sub(self.raw, self.offset, 4)
self.address = [ int(v) for v in unpack('!BBBB', self.raw) ]
return self
def encode(self):
self.raw ... | UTF-8 | Python | false | false | 351 | py | 38 | a.py | 36 | 0.698006 | 0.692308 | 0 | 15 | 22.4 | 62 |
hammal/PythonADC | 11,373,073,447,266 | 0166034cf389efdd527b004bf21b930a73cbf3ab | fa72108bf319e00e40b3cd05b3213bdfbb5dcb51 | /Experiments/s3scripts/download_from_bucket.py | 596310bdafb4a0627f9ab50a0c37632b855f38e5 | [] | no_license | https://github.com/hammal/PythonADC | b51faad98926afb63711570a107412b43be0e412 | 1f9be8298bf2992196ede7e01d7c3287048bc4a3 | refs/heads/master | 2023-03-26T17:01:45.354175 | 2021-03-21T17:09:54 | 2021-03-21T17:09:54 | 335,706,884 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import boto3
import uuid
import argparse
from s3utils import downloadFromS3
BUCKET_NAME = 'paralleladcexperiments5b70cd4e-74d3-4496-96fa-f4025220d48c'
def main(file_name, destination):
s3_resource = boto3.resource('s3')
downloadFromS3(s3_resource, BUCKET_NAME, file_name, destination)
if __name__ == "__mai... | UTF-8 | Python | false | false | 551 | py | 58 | download_from_bucket.py | 52 | 0.696915 | 0.642468 | 0 | 21 | 25.285714 | 74 |
zconn/PythonCert220Assign | 8,675,833,942,408 | ac98c4e5e25a8ae058e256bb7efad9398a08de8c | 0c72282d601ccf840dd4e41b675c0675de7bc916 | /students/HABTAMU/lesson03/assignment/basic_operations.py | 0abbf2d973b7ae3e01d0f8a6fcab80841989899a | [] | no_license | https://github.com/zconn/PythonCert220Assign | c7fedd9ffae4f9e74e5e4dfc59bc6c511c7900ab | 99271cd60485bd2e54f8d133c9057a2ccd6c91c2 | refs/heads/master | 2020-04-15T14:42:08.765699 | 2019-03-14T09:13:36 | 2019-03-14T09:13:36 | 164,763,504 | 2 | 0 | null | true | 2019-01-09T01:34:40 | 2019-01-09T01:34:40 | 2019-01-08T20:21:44 | 2019-01-08T20:21:43 | 788 | 0 | 0 | 0 | null | false | null |
"""
Learning persistence with Peewee and sqlite
delete the database to start over
(but running this program does not require it)
Person:
1. insert records
2. display all records
3. show transactions
4. show error checking
5. show logging (to explain what's ... | UTF-8 | Python | false | false | 8,044 | py | 375 | basic_operations.py | 326 | 0.594107 | 0.573968 | 0 | 198 | 39.616162 | 147 |
bmeurer/emscripten | 111,669,193,284 | a51ce333cce958a5c8d37b745f201843bf15a3e5 | b2766f8cf250120b341a6150303d97033139663c | /site/source/api_items.py | 01766673931b8f08715961656bbfe15f2d2e719e | [
"NCSA",
"MIT"
] | permissive | https://github.com/bmeurer/emscripten | dbca4d0f1d0db1ea30b1eece7a4a4b9eec473f68 | 59a416cb3f72d746678fc44a4d2626eb6be98151 | refs/heads/master | 2023-02-15T03:31:17.464894 | 2020-07-09T17:40:24 | 2020-07-09T17:40:24 | 265,643,199 | 1 | 0 | NOASSERTION | true | 2020-05-20T17:47:05 | 2020-05-20T17:47:04 | 2020-05-20T17:01:14 | 2020-05-20T17:34:26 | 208,961 | 0 | 0 | 0 | null | false | false | # Auto-generated file (see get_api_items.py)
def get_mapped_items():
mapped_wiki_inline_code = dict()
mapped_wiki_inline_code['*emscripten_get_preloaded_image_data'] = ':c:func:`*emscripten_get_preloaded_image_data`'
mapped_wiki_inline_code['*emscripten_get_preloaded_image_data()'] = ':c:func:`*emscripten... | UTF-8 | Python | false | false | 63,319 | py | 91 | api_items.py | 48 | 0.715709 | 0.714193 | 0 | 667 | 93.931034 | 154 |
erraa/kresets | 2,731,599,236,036 | 14458bfab447687a76eb8e0ff52f4c126f91aa6c | 975bd514c540b4c7376e0165af24a3cac657af8c | /app/views.py | 663fb32cb98b26b0889aef147ebcd6a730919927 | [] | no_license | https://github.com/erraa/kresets | 421c9f9f4fe77be6896d366c0a69837c86aa4af3 | 1f62cfecf00ed6d69a2f3a32993b25d69b0a6ef4 | refs/heads/master | 2020-04-06T06:57:20.069087 | 2016-09-11T08:14:07 | 2016-09-11T08:14:07 | 64,059,193 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from flask import render_template
from app import app
@app.route('/')
@app.route('/index')
def index():
posts = [{'body': 'ONYXIA'}, {'body', 'ZG'}]
wberg = {'wberg': 'Wbergs Mamma'}
return render_template('index.html',
title='Home',
wberg=wberg,
... | UTF-8 | Python | false | false | 382 | py | 3 | views.py | 1 | 0.455497 | 0.455497 | 0 | 13 | 28.384615 | 48 |
jacealan/booktalk | 5,514,738,010,046 | 63287efae402d896ae7aea2959dc85c7f7ac4377 | 5c874d83da5c246b7fdf8a1cd778bd9eba0f963d | /jacevenv/lib/python3.6/re.py | 5eba8bbaea92008a5738bb3004cf80d138008a0d | [] | no_license | https://github.com/jacealan/booktalk | 29a5061436ec9ebf571b32b7e7831363a2a824ba | fb3f823966de8f280caead2b0519804d6ff45028 | refs/heads/master | 2021-08-28T07:11:00.763662 | 2017-12-11T14:35:30 | 2017-12-11T14:35:30 | 113,454,681 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | /Users/jace/anaconda3/lib/python3.6/re.py | UTF-8 | Python | false | false | 41 | py | 54 | re.py | 48 | 0.804878 | 0.731707 | 0 | 1 | 41 | 41 |
ZipluxLHS/pyziplux | 12,953,621,371,989 | 5dec25f49b107e7cf7df4344e4fde3c0bf4b1e94 | d91f24ae8b47947af0241ad81dbbe9d20dcbe431 | /microsoft/office.py | 1057fdeaaf001f0512ab87cc7d227175db68ff90 | [
"MIT"
] | permissive | https://github.com/ZipluxLHS/pyziplux | e404cbb883d30a3007bb94476568c0c8393b52fc | 1d8ada67e6237b30c35805b4b34c01f14865164f | refs/heads/main | 2023-08-25T00:09:07.173748 | 2021-10-20T09:52:00 | 2021-10-20T09:52:00 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import openpyxl
from openpyxl import Workbook
from openpyxl.comments import Comment
class Xlsx:
def __init__(self, filePath):
self.path = filePath
def writeWorkbook(self, source):
self.wb = Workbook()
ws = self.wb.active
for each in source:
ws.append(e... | UTF-8 | Python | false | false | 988 | py | 3 | office.py | 3 | 0.580972 | 0.580972 | 0 | 31 | 29.935484 | 95 |
m-nez/mtg_deck_compiler | 5,102,421,186,922 | 1984fd2d40874571b0b057a3ae8953015b0ee5b7 | 57592c985f0823264c7025f59151681ab4b0d192 | /mtg_deck_compiler.py | 06ffe21e161c931b6df7703ebc63b569100ba738 | [] | no_license | https://github.com/m-nez/mtg_deck_compiler | 1a317601789536eebc6a7fcfd06daf03abf02af7 | 36b76e91ee26f733bed7729694de489c288499ee | refs/heads/master | 2020-12-25T19:39:22.923284 | 2018-12-30T14:23:03 | 2018-12-30T14:23:03 | 64,498,380 | 2 | 1 | null | false | 2017-10-15T17:51:48 | 2016-07-29T17:25:46 | 2016-07-29T17:29:04 | 2017-10-15T17:51:47 | 4 | 0 | 1 | 0 | Python | null | null | #!/usr/bin/python3
# -*- coding: UTF-8 -*-
"""
MTG deck compiler
Copyright (C) 2016, 2017 Michał Nieznański
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 version 3 of the... | UTF-8 | Python | false | false | 8,517 | py | 2 | mtg_deck_compiler.py | 1 | 0.549031 | 0.542572 | 0 | 254 | 32.523622 | 108 |
kenpuca/db.science.uoit.ca | 18,528,488,956,972 | 83d5c61d22d614005973eb782b4da2fc3e7371ac | 93cafda4d25704cf00e11eb3457918c427a83cad | /courses/algorithms/mst/code/mst.py | 629ea729d589110961bbdd530da9ae9c87ea8ecf | [] | no_license | https://github.com/kenpuca/db.science.uoit.ca | 92983a0188be294d4891a6fd8410823749a2ea76 | 970cbbeb691ef72bb6cec4def59c0640ccf5ee81 | refs/heads/master | 2020-05-21T22:49:41.674556 | 2017-10-25T02:17:01 | 2017-10-25T02:17:01 | 63,455,393 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | def minimal_edge(H, V0):
"""pick an edge with the minimal weight
from V0 to the rest of the nodes"""
w_min = None
e_min = None
for e in H.E.keys():
if e[0] in V0 and e[1] not in V0:
w = H.E[e]["weight"]
if w_min == None or w < w_min:
e_min = e
... | UTF-8 | Python | false | false | 1,916 | py | 72 | mst.py | 20 | 0.518789 | 0.497912 | 0 | 70 | 26.371429 | 50 |
rscgh/BA4445_Classifier | 5,970,004,570,729 | 52a6bdebb325175d41b46ce3a79c298c630f73be | 3579859cc04f12aa4554feb7f5f7c01bc9dab449 | /hcp_tools.py | 8b1a72440a9437ba844280e56032683ad40a1367 | [] | no_license | https://github.com/rscgh/BA4445_Classifier | bcbebd852555874b251d1a8aedb66298ccf8205e | e92093f2a2e4a74584575d1485fca383b9a4ffc7 | refs/heads/main | 2023-07-29T18:23:22.624979 | 2021-09-14T11:22:54 | 2021-09-14T11:22:54 | 302,207,034 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!/usr/local/bin/python
# -*- coding: utf-8 -*-
'''
preprocess_and_load_tseries is based off the original script by Şeyma Bayrak, https://github.com/sheyma
repository located on: https://github.com/NeuroanatomyAndConnectivity/hcp_corr
code was a bit more streamlined and put up to date
furthermore the option for smoo... | UTF-8 | Python | false | false | 13,989 | py | 11 | hcp_tools.py | 5 | 0.603732 | 0.561982 | 0 | 366 | 37.213115 | 168 |
art32fil/slam_3d_tbm | 12,549,894,461,341 | 49a36439831b200261eab2f78a411461e269cbab | e242e8ecabe19af42e3962fce75c696e4ecbb132 | /python_ros_packages/bag_reader/src/bag_to_3D_points_with_poses.py | 97ff7c8a0e5bfc3931fa46cef7d6d9ba70004178 | [] | no_license | https://github.com/art32fil/slam_3d_tbm | 956931e72273134922618608a884850b8d0bfe1b | 3ab07daeb743807ec211b0776621454a1294e9a2 | refs/heads/master | 2020-09-10T04:00:53.116074 | 2020-04-13T09:19:31 | 2020-04-13T09:19:31 | 221,643,189 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!/usr/bin/env python3
import rospy
import rosbag
import sensor_msgs
from sensor_msgs.msg import PointCloud2 as pcl2
from sensor_msgs import point_cloud2 as pcl2_handler
import tf2_ros
import tf2_py as tf2
from tf2_sensor_msgs.tf2_sensor_msgs import do_transform_cloud
from geometry_msgs.msg import TransformStamped
fro... | UTF-8 | Python | false | false | 9,837 | py | 14 | bag_to_3D_points_with_poses.py | 11 | 0.663312 | 0.637694 | 0 | 271 | 35.239852 | 136 |
ellenmconsidine/Python-Slang-Dictionary | 4,088,808,893,962 | ce4a0ae2beb1e86304a41d43b2a5222efe572075 | 6095fbed62280243314037da2f9ab3bc7570e041 | /Assignment10_Considine.py | d38fc21515d1a427771de540ac7059d4087bfaac | [] | no_license | https://github.com/ellenmconsidine/Python-Slang-Dictionary | dfb84442c1f4a60a00c47bf6b2f51083e498e0c1 | 329870cba94390ea463fceb68c747cfb3febbc95 | refs/heads/master | 2021-01-11T20:03:09.338352 | 2017-01-19T13:51:39 | 2017-01-19T13:51:39 | 79,457,978 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #Ellen Considine, TA: Ranga, Assignment 10
def CreateDictionary(filename):
my_dict = {}
lines = []
f = open(filename, 'r') #opening input file
x = f.readline()
while x != "":
lines.append(x)
x = f.readline()
f.close() #closing input file
for i in range(len(lines)):
k... | UTF-8 | Python | false | false | 2,299 | py | 1 | Assignment10_Considine.py | 1 | 0.5398 | 0.53719 | 0 | 77 | 28.857143 | 92 |
daniel-reich/ubiquitous-fiesta | 2,937,757,676,275 | 0316b972c911e49a3da6fb7e890538ee696e3b62 | 6fa7f99d3d3d9b177ef01ebf9a9da4982813b7d4 | /quMt6typruySiNSAJ_12.py | c1a325dca146548eb733dfed62d4554554f6df03 | [] | no_license | https://github.com/daniel-reich/ubiquitous-fiesta | 26e80f0082f8589e51d359ce7953117a3da7d38c | 9af2700dbe59284f5697e612491499841a6c126f | refs/heads/master | 2023-04-05T06:40:37.328213 | 2021-04-06T20:17:44 | 2021-04-06T20:17:44 | 355,318,759 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null |
from math import ceil
def shuffle_count(num):
d=[i for i in range(num)]
ds=[0]*num
k=0
while True:
d1=d[:num//2]
d2=d[num//2:]
for i in range(0,num-1,2):
ds[i]=d1[ceil(i/2)]
ds[i+1]=d2[ceil(i/2)]
k+=1
d=ds
if d==sorted(d):
... | UTF-8 | Python | false | false | 334 | py | 38,088 | quMt6typruySiNSAJ_12.py | 38,088 | 0.434132 | 0.389222 | 0 | 15 | 21.133333 | 34 |
briancabbott/GitHub-Repository-Downloader | 1,872,605,750,131 | 2f5483b73e6c932ebf877dd6f2c39f8b97630100 | 5c157c4e76ca54d30f543e0393eae29d49d90962 | /TypeScript/resources/code/ts_lib/Apollo-Latest/apollographql/tap-orbit/tap_orbit/streams/members.py | 4f6c836273471a2692c63c145013bd21395610aa | [
"Apache-2.0"
] | permissive | https://github.com/briancabbott/GitHub-Repository-Downloader | a69ccc97100947525fd77e822544b84b82c5636a | b2ea9502f68e64ff4c8e02ff6113f4f4dc927f60 | refs/heads/master | 2023-05-25T07:21:43.908126 | 2023-05-21T08:05:45 | 2023-05-21T08:05:45 | 148,926,714 | 1 | 0 | null | false | 2022-12-08T23:32:10 | 2018-09-15T17:59:55 | 2022-07-10T13:31:30 | 2022-12-08T23:32:10 | 126,905 | 0 | 0 | 3 | TypeScript | false | false | from tap_orbit.streams.base import BaseStream
import singer
LOGGER = singer.get_logger()
class MembersStream(BaseStream):
API_METHOD = "GET"
TABLE = "members"
KEY_PROPERTIES = ["id"]
def response_key(self):
return "data"
@property
def path(self):
return "members"
@prope... | UTF-8 | Python | false | false | 371 | py | 3,942 | members.py | 1,770 | 0.625337 | 0.625337 | 0 | 21 | 16.666667 | 45 |
legendAhsan/commentAnalyzer | 8,727,373,564,884 | f1b40adf6ab1eaa74d8769f7655a34ffdf5905ee | 3fa66cef8a6ffe4546b235304d00e8c9266fcbc1 | /app.py | 881a6f6d48aed161aa67c8f35ec788f5d9e55447 | [] | no_license | https://github.com/legendAhsan/commentAnalyzer | d25c5b2eb010b95d4030494a42b9a919b28c46d1 | ef8b7cfa4dff37f9b2b5a631cd9525d882efcb47 | refs/heads/master | 2023-02-16T18:37:40.828355 | 2021-01-13T07:39:07 | 2021-01-13T07:39:07 | 324,924,056 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from flask import Flask, render_template, request, redirect
from sklearn.feature_extraction.text import CountVectorizer
import nltk
from nltk.corpus import stopwords
import string
from nltk.stem.snowball import SnowballStemmer
import pandas as pd
import pickle
hell=Flask(__name__)
model = pickle.load(open('model.pkl',... | UTF-8 | Python | false | false | 1,722 | py | 8 | app.py | 3 | 0.624855 | 0.611498 | 0 | 65 | 25.492308 | 134 |
ben1lam8/USMB-BachelorDIM-Lectures-Algorithms | 7,791,070,692,326 | 61d2a9bb0f43b012e5071620adc655212df9ebd7 | 1cdfc01aef51ec4872e88fac9347c90ab9483244 | /assignments/Session1/S1_dice.py | 9960dc160e0fec6063d98a578cdb6d3c3507a4c0 | [
"MIT"
] | permissive | https://github.com/ben1lam8/USMB-BachelorDIM-Lectures-Algorithms | 8bb89ce974ddafe49e33e47b70723be66bbfdcff | c7a8905462bdda40cb9d567dfa63de14649def5b | refs/heads/master | 2021-01-23T19:57:41.416899 | 2017-10-31T20:29:59 | 2017-10-31T20:29:59 | 102,835,826 | 0 | 0 | null | true | 2017-09-08T08:06:46 | 2017-09-08T08:06:45 | 2017-08-14T13:32:52 | 2017-09-07T14:44:48 | 15 | 0 | 0 | 0 | null | null | null | ## @namespace S1_dice
# A dice game simulation
#
# @author Benoit Lamit, LPro DIM, IUT Annecy le vieux, FRANCE
import random;
# Global variables
player_score = 0;
computer_score = 0;
turn_count = 0;
## Game main logic
#
def main():
#Init the game
print("===============================================... | UTF-8 | Python | false | false | 4,210 | py | 20 | S1_dice.py | 18 | 0.456532 | 0.447743 | 0 | 139 | 29.258993 | 104 |
ayush-sri323/Feedback | 7,249,904,812,459 | f73f4a0d6f96c09dd12d00c40f005bbee3aea41a | 5cfc94c1ae77ae140e639952045fe0454a0263af | /review/urls.py | ef20497355d40014b2b0c170705c73a0793070eb | [] | no_license | https://github.com/ayush-sri323/Feedback | b4e65bd9a8dd08bb8978739ce7735f23f41b26e9 | 3c833c44681046ef50b42489f532b0a26b2a3759 | refs/heads/master | 2023-06-09T15:01:00.479432 | 2021-07-03T17:44:59 | 2021-07-03T17:44:59 | 382,660,526 | 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('',views.ReviewView.as_view()),
path('thank_you',views.thank_you.as_view()),
path('Review List',views.ReviewList.as_view(), name = 'review list'),
path('favorite',views.AddfavoriteReview.as_view()),
path('Detail Reviews<int:pk>',v... | UTF-8 | Python | false | false | 373 | py | 7 | urls.py | 5 | 0.686327 | 0.686327 | 0 | 10 | 36.3 | 84 |
jun-harashima/msnc | 2,834,678,443,548 | 807afd48f45fb260c44a5bf5156cd46d5ecf0c8f | 466218363656c212e29d10ac288fb00818d81adf | /msnc/dataset.py | 66d83e062fd5eebbf86e4dd0176110db844f8956 | [
"MIT"
] | permissive | https://github.com/jun-harashima/msnc | 9c791b8a01ff3079791c738bce88d37e8698cb72 | f6770b183a6bc65f1774deeaee3b326fca326770 | refs/heads/master | 2023-01-09T22:51:12.164799 | 2021-06-15T08:44:50 | 2021-06-15T08:44:50 | 187,233,556 | 1 | 1 | MIT | false | 2022-12-26T20:47:38 | 2019-05-17T14:45:55 | 2021-06-15T08:44:53 | 2022-12-26T20:47:38 | 86 | 1 | 1 | 2 | Python | false | false | # x: a token (e.g., character, subword, word).
# X: a sequence of tokens.
# X_set: a set of sequences.
# xs: a concatnation of sets.
# y: a number for an example
# ys: numbers for examples
import math
from msnc.util import Util
class Dataset():
def __init__(self, examples, x_to_index=None, isregression=False):
... | UTF-8 | Python | false | false | 2,439 | py | 14 | dataset.py | 9 | 0.536695 | 0.533825 | 0 | 74 | 31.959459 | 74 |
Rohan-Deshamudre/Smart-traffic-management-system | 9,337,258,906,605 | b75dbab737eeae717fc151b2aae36aea78d4ed77 | 3f0f3d2d20581a247bffc1aa36fdd1ff50bca968 | /backend/api/instruments/instrument_actions/compression.py | bdb684555d9adb8dadb0b2a3e161dda6977a8936 | [] | no_license | https://github.com/Rohan-Deshamudre/Smart-traffic-management-system | 1c92a4de26c55d103d954c53d0cd207bba68a26b | 618440303dcbf819cd61aa5e593b4b50483f0070 | refs/heads/master | 2022-12-09T14:51:21.206001 | 2020-06-25T16:27:15 | 2020-06-25T16:27:15 | 295,766,737 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from api.instruments.instrument_actions.models import InstrumentAction
from api.road_conditions.road_condition_actions.models import \
RoadConditionActionToInstrumentAction
id_key = 'id'
def to_json_instrument_action(instrument_action: InstrumentAction):
instrument_action_object = {id_key: instrument_action.... | UTF-8 | Python | false | false | 613 | py | 330 | compression.py | 170 | 0.786297 | 0.786297 | 0 | 17 | 35.058824 | 79 |
lakshmikodi/Python | 16,260,746,189,749 | 68d23754db466aac2081869c88a69892dcba5cfa | e1a98eb88f719108250b8ef31070a72b830f3f98 | /String Datatypes/Data_Types_String_Example_Methods_1-23.py | ff54405c380b2dc4e5046b773784a65d663f2f6d | [] | no_license | https://github.com/lakshmikodi/Python | bcaf181b751576b5731dd83e991782e86f233a88 | 4346ded89f6b4d747913513ca6d3f0cf930953c5 | refs/heads/master | 2020-12-07T15:23:47.676376 | 2017-06-27T02:59:32 | 2017-06-27T02:59:32 | 95,507,980 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!/usr/bin/python
strLower = "a this a is a lower case string"
#0123456789101112131415161718
strLow = "spyder and pycharm"
'''
strUpper = "THIS IS AN UPPER CASE STRING"
numSet = '123'
print(strLower.capitalize())
print(len(strLow))
print(type(strLow))
'''
print (strLow.center(23, '*'),len(strLow))
'''
prin... | UTF-8 | Python | false | false | 672 | py | 18 | Data_Types_String_Example_Methods_1-23.py | 17 | 0.690476 | 0.616071 | 0 | 26 | 24.846154 | 49 |
Biking0/test | 4,363,686,782,748 | 214496c29e468a53af6a50db62496d81652b69b7 | 92eee50b8dcdace89077f31065e56322c9920456 | /202107/test.py | ba5100d17e13f174bc7f09810acdd25bf2c16e70 | [] | no_license | https://github.com/Biking0/test | 37878b7c2eb61bf0224459b4a313fadaa437534a | 3d57193c56bd2c9b6c8ad9c5b3fb785de4a90d9a | refs/heads/master | 2021-07-23T18:43:26.693462 | 2021-07-14T16:06:36 | 2021-07-14T16:06:36 | 125,614,881 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import akshare as ak
stock_circulate_stock_holder_df = ak.stock_circulate_stock_holder(stock="600000")
# print(stock_circulate_stock_holder_df)
print(stock_circulate_stock_holder_df[0:3])
# print(stock_circulate_stock_holder_df[0:22]['占流通股比例(%)'])
new_sum=0
old_sum=0
for i in stock_circulate_stock_holder_df[0:10]['占流通... | UTF-8 | Python | false | false | 597 | py | 150 | test.py | 122 | 0.695187 | 0.652406 | 0 | 19 | 28.578947 | 81 |
abs-tudelft/vhdmmio | 6,614,249,662,022 | 74540e8fdb1ec0caf18ea2f2f8bb171bd9c51121 | ea97980b8c9dbbf987b2e470cea11cedde8efb9f | /vhdmmio/config/interrupt.py | 544be0503375ced927bad399a4eb39eee7cb3c4e | [
"Apache-2.0"
] | permissive | https://github.com/abs-tudelft/vhdmmio | 634ec13fc9ce573d0628336195bdd1dcece1db1a | d0417925cd72dfb973431d6948e65b662a75c5fa | refs/heads/master | 2023-06-22T21:04:01.548057 | 2023-06-19T16:15:11 | 2023-06-19T16:15:11 | 185,991,290 | 5 | 1 | Apache-2.0 | false | 2023-06-19T16:15:12 | 2019-05-10T13:15:28 | 2023-06-06T14:57:14 | 2023-06-19T16:15:12 | 1,549 | 7 | 2 | 1 | Python | false | false | """Submodule for `InterruptConfig` configurable."""
import re
from ..configurable import configurable, Configurable, choice, embedded
from .metadata import MetadataConfig
@configurable(name='Interrupt descriptors')
class InterruptConfig(Configurable):
r"""In addition to MMIO, `vhdmmio` can handle interrupt routin... | UTF-8 | Python | false | false | 5,947 | py | 185 | interrupt.py | 118 | 0.565663 | 0.562637 | 0 | 124 | 46.959677 | 80 |
Sahel95/messenger-backend | 15,771,119,936,875 | 3e2e498c823c901a2f7b30239879dc8801894082 | beb5cdab2ec52c5cc53fd82bc9d700e268d2a2d7 | /user/models.py | beaf9d50404c08c7df8cbb836adadd35c45aadc7 | [] | no_license | https://github.com/Sahel95/messenger-backend | d30e02690927e3e15ed9e7ab4282f83f28daf01b | db9b0ce88163969c343b91c465cadeed828c2e33 | refs/heads/master | 2020-07-09T03:22:00.319634 | 2019-09-17T06:06:17 | 2019-09-17T06:06:17 | 203,861,256 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from django.db import models
# from django.contrib.auth.models import User
from django.contrib.auth.models import AbstractUser
import uuid
class Users(AbstractUser):
verificationtoken = models.UUIDField(
default=uuid.uuid4,
null=True
)
is_verified = models.BooleanField(
null=True,
... | UTF-8 | Python | false | false | 1,043 | py | 36 | models.py | 34 | 0.601151 | 0.597315 | 0 | 44 | 22.704545 | 73 |
MysticSoul/Codes | 4,999,341,970,830 | cda944273310ebd4950c6f90179bb7ac6ae3a4c1 | deb07632f77383bea0a79bc1f62924b5db72fd1f | /python/learning.py | 795c538c01e62fdd822e49419363f0ec6d81cddb | [] | no_license | https://github.com/MysticSoul/Codes | e559677e5badd4504794ebc38c2309318dc35c5d | c61d1206b7cd42ac9d2d8dab38d4653ce129c9b3 | refs/heads/master | 2020-07-24T07:58:08.943033 | 2019-09-11T09:18:03 | 2019-09-11T09:18:03 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #learning loops
#n = input("Enter the length of the array : ")
a = [1, 2, 3, 4, 5, 6, 7, 8]
print("Prefixes of", a)
for i in range(0, len(a) + 1):
print(a[0:i])
print("----------------------------------")
print("Suffixes of" , a)
for i in range(0, len(a) + 1):
print(a[i:len(a)+1]) | UTF-8 | Python | false | false | 290 | py | 146 | learning.py | 128 | 0.493103 | 0.444828 | 0 | 10 | 28.1 | 47 |
avenrainbow/aven_su | 3,822,520,939,828 | 6f1a42f88ca680a7a7875b0e7598cc025aee4e26 | 536ea383510428e49c3304fd957e4ae27fa13f80 | /com.aven.jdk.python/test/RestHandlerTest.py | 99a44b2b493f1fe4ca8a5635576fd560f35eded3 | [] | no_license | https://github.com/avenrainbow/aven_su | 716e3d0d77f607cb481c5e5c1bef45239d7bc35c | f985123a164d5c2f8cfd5deef26d37c60ac9eae3 | refs/heads/master | 2016-09-06T10:07:13.539963 | 2015-07-30T07:55:45 | 2015-07-30T07:55:45 | 39,938,124 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #encoding=utf8
'''
Created on 2014-4-10
@author: Kee.Li
'''
from com.huadi.winserver.RestHandler import DataConnect
from com.huadi.winserver import RestHandler
'''
GET请求Rest接口demo
获取所有虚拟机
'''
def testGet():
#连接参数
dataConnect = DataConnect()
dataConnect.ip = "10.0.0.100"
dataConnect.port = "8080"... | UTF-8 | Python | false | false | 2,315 | py | 33 | RestHandlerTest.py | 23 | 0.601898 | 0.54948 | 0 | 98 | 21.489796 | 346 |
scottyuecao/RIXS-utilities | 15,307,263,477,441 | 0db4b758a971a784966ac6bd3714de531c3a1510 | e1b999ea5a734ce2cd7c39be08bcbc243216ba2b | /SLS_examples/get_plot_Emaps.py | 58d0f7985aab3c472f26f1190c2fe292162c99cd | [] | no_license | https://github.com/scottyuecao/RIXS-utilities | 870f279e2fdbf97f47a79f09fa634c7ea4cd43cd | 1a20198f27084351c06aba7c2b640503ce02a9b1 | refs/heads/master | 2021-01-24T02:18:10.415188 | 2015-03-17T19:48:50 | 2015-03-17T19:48:50 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import numpy as np
import scipy as sp
import matplotlib.pyplot as plt
import scipy.interpolate
plt.ion()
def getParam(filename, param):
fid = open(filename)
alltxt = fid.read().lower() # everything in lowercase
param = param.lower()
for line in alltxt.splitlines():
if line.find(param) != -1:
... | UTF-8 | Python | false | false | 2,087 | py | 3 | get_plot_Emaps.py | 3 | 0.598467 | 0.574509 | 0 | 66 | 30.621212 | 142 |
huawei-noah/HEBO | 9,337,258,921,341 | 53d18340a0133c28c077e9c06eda0117b26461c2 | 5072e65b8b10b333fff2142bfc70896d4abca2b4 | /HEBO/archived_submissions/hebo/bo/models/scalers.py | e0b75e69037bdd94dc2803b788c73130d2e5c12b | [
"MIT"
] | permissive | https://github.com/huawei-noah/HEBO | a0ececc2fe9812fd319d8ff4af1d5706276937bc | 2bccb4edef79711ff81d660b80c9121b1bb95c82 | refs/heads/master | 2023-09-01T08:14:57.603747 | 2023-08-30T15:39:48 | 2023-08-30T15:39:48 | 404,973,348 | 1,748 | 313 | null | false | 2023-08-23T20:36:22 | 2021-09-10T06:02:05 | 2023-08-23T18:35:20 | 2023-08-23T20:36:21 | 152,176 | 1,882 | 362 | 10 | Jupyter Notebook | false | false | # Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved.
# This program is free software; you can redistribute it and/or modify it under
# the terms of the MIT license.
# This program is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty... | UTF-8 | Python | false | false | 3,355 | py | 747 | scalers.py | 633 | 0.604471 | 0.599702 | 0 | 91 | 34.868132 | 108 |
tomasra/venus_volcanoes | 13,932,873,941,191 | a1c6f883b9f734febbb3dd704c65acae373bd121 | da1843a1ededfd6f3470965f0024391912c1e299 | /lib/experiments/__init__.py | b453c20f2a7f62b3e6f76034404cfbf51c7532c7 | [] | no_license | https://github.com/tomasra/venus_volcanoes | 6cda36be507690ad17b4c2c7ead87f08de90765c | 1db7c8b46db25c9f158dfa96a8d22fde4e12c43d | refs/heads/master | 2020-05-31T20:51:29.821742 | 2014-05-24T11:37:32 | 2014-05-24T11:37:32 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from experiment import Experiment
from experiment_set import ExperimentSet | UTF-8 | Python | false | false | 74 | py | 32 | __init__.py | 26 | 0.891892 | 0.891892 | 0 | 2 | 36.5 | 40 |
jarekzha/JingDongSpider | 2,748,779,076,708 | 44d8aeef82eb5b96fd1ea5c95154adb40b6ee311 | baf93a6c55b9784d0ffe61410e5728bcb778e671 | /Crawler/crawler.py | e696fb22a76b89aa9c1220cae15e1f70352826c2 | [] | no_license | https://github.com/jarekzha/JingDongSpider | a766c9a04aae35e1995ecd899e0fff52e2d8a9ac | a37a4299f1a23fd9d5303fa56e5bdb4259b5f86d | refs/heads/master | 2021-01-21T11:38:00.422899 | 2016-05-12T15:03:31 | 2016-05-12T15:03:33 | 48,053,324 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
'''
Created on 2016年4月9日
@author: jarekzhang
'''
import config
from jdItemPage import JDItemPage
from mysqlSaver import MysqlSaver
import codecs
import time
if __name__ == '__main__':
''' 解析页面 '''
itemPage = JDItemPage(config.URL)
itemPage.parsePage()
... | UTF-8 | Python | false | false | 687 | py | 10 | crawler.py | 9 | 0.61919 | 0.607196 | 0 | 27 | 23.481481 | 106 |
DavidGG66/active-nlp | 10,428,180,633,499 | 615431716ee5444782bfbc9a0f6989c95533d7fc | 8a4cf805b293fab0c0c844794a1b8f1688bff264 | /src/network/node.py | 0d5b444911201e2e9fd82f447d553be16b6c4d09 | [] | no_license | https://github.com/DavidGG66/active-nlp | 906b18e37a68c92d508c0a446c5b65fcd9045751 | 508beec00eca482319d8f7f1e972e0e6b09fd158 | refs/heads/master | 2020-09-01T07:25:07.601575 | 2020-03-14T00:34:58 | 2020-03-14T00:34:58 | 218,907,862 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # Parser nodes and networks
class Error(Exception):
pass
class SynCat():
def __init__(self):
self.cat = None
self.features = {}
class LexCat(SynCat):
def __init__(self):
SynCat.__init__(self)
self.lex = {}
class PhraseCat(SynCat):
def __init__(self):
SynCat... | UTF-8 | Python | false | false | 1,462 | py | 43 | node.py | 25 | 0.53762 | 0.536252 | 0 | 67 | 20.820896 | 58 |
ericfp87/Day-26-exercise3 | 13,194,139,576,574 | 14a66cef35a40c4fefaa47db3b931e50c0a2e1f8 | e09416565a0a7825021be242ef2597d009b0c319 | /main.py | 85ded4487d29f972d222c84de9e71ebc5de580a4 | [] | no_license | https://github.com/ericfp87/Day-26-exercise3 | cd6bb7e74155a554ff6ec62c8c6a4f40ac5a3b92 | c8f7bc0c144a97790eac922cfa0e5f650729d66b | refs/heads/master | 2023-03-18T10:45:08.222936 | 2021-03-08T13:17:14 | 2021-03-08T13:17:14 | 345,661,839 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | with open("file1.txt") as file1:
list1 = file1.readlines()
with open("file2.txt") as file2:
list2 = file2.readlines()
result= [int(number) for number in list1 if number in list2]
# Write your code above 👆
print(result)
| UTF-8 | Python | false | false | 236 | py | 1 | main.py | 1 | 0.682403 | 0.639485 | 0 | 11 | 20 | 60 |
vene/ambra | 4,827,543,255,159 | 91938ea1184225b740711bebd1621a2516158975 | 0b517fd0ca467fdfccf1ba1f32bd652ae95349c2 | /ambra/features.py | 4a8047954788c4f6e683fa5197b83b302d4938d5 | [
"BSD-2-Clause"
] | permissive | https://github.com/vene/ambra | 520e721eeeae8a44e38fff241b9a738519f2e33e | e220dbb332b86ed60ecb025efbefbb33080118b7 | refs/heads/master | 2016-09-06T12:42:34.633206 | 2015-01-30T21:40:31 | 2015-01-30T21:40:31 | 27,673,648 | 2 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import numpy as np
from sklearn.base import BaseEstimator, TransformerMixin
class LengthFeatures(BaseEstimator, TransformerMixin):
def fit(self, X, y=None):
return self
def _doc_features(self, doc):
n_sents = len(doc)
all_toks = [tok for sent in doc for tok in sent]
n_tokens = ... | UTF-8 | Python | false | false | 3,114 | py | 15 | features.py | 14 | 0.560694 | 0.558767 | 0 | 86 | 35.209302 | 80 |
xieguotian/caffe | 16,295,105,957,126 | bea8cac2f7c0e89948272e2b110e8a391df0392c | 11d564f26a40d5b5da034568ff4bf3ffec8b94db | /python/convert_model_triplet.py | b6774cf29fcd1579d08c210ba0a9cb046e7d043a | [
"LicenseRef-scancode-public-domain",
"BSD-2-Clause",
"BSD-3-Clause",
"LicenseRef-scancode-generic-cla"
] | permissive | https://github.com/xieguotian/caffe | 110673db35c41360a5ecdbec6e64a8d2cda31784 | fed8340608102c489ed6a1e61f2890cf0b0079ea | refs/heads/master | 2020-04-04T04:23:01.004276 | 2017-11-23T07:34:20 | 2017-11-23T07:34:33 | 38,590,922 | 2 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null |
import sys
import os
if len(sys.argv)<3:
print 'Usage: python convert_model.py net_proto net_posfix'
net_proto = sys.argv[1]
pos_fix = sys.argv[2]
base_name = os.path.basename(net_proto).strip().split('.')
net_new_proto = base_name[0]+'_'+pos_fix+'.'+base_name[1]
with open(net_new_proto,'w') as fout:
with o... | UTF-8 | Python | false | false | 2,210 | py | 161 | convert_model_triplet.py | 110 | 0.481448 | 0.471946 | 0 | 65 | 32.984615 | 70 |
Podidiving/catalyst | 4,664,334,529,492 | 441751de0a52199f9b7575aee1c3da512e669fc7 | 9b6bc3f768ec86caf2074141be90262c9662762a | /catalyst/loggers/tensorboard.py | 1b777aa4c201da32fa79c54bab9ec15c32fa80f5 | [
"Apache-2.0"
] | permissive | https://github.com/Podidiving/catalyst | 298dca23e5cf51dda6bbc0a744874ae2c8787bc5 | ac8567dc389fb7a265e3104e8a743497aa903165 | refs/heads/master | 2021-12-03T21:48:48.232619 | 2021-11-03T05:29:19 | 2021-11-03T05:29:19 | 225,822,776 | 2 | 0 | Apache-2.0 | true | 2019-12-04T08:59:03 | 2019-12-04T08:59:03 | 2019-12-04T08:30:59 | 2019-12-04T08:42:44 | 11,052 | 0 | 0 | 0 | null | false | false | from typing import Dict
import os
import numpy as np
from tensorboardX import SummaryWriter
from catalyst.core.logger import ILogger
from catalyst.loggers.functional import image_to_tensor
class TensorboardLogger(ILogger):
"""Tensorboard logger for parameters, metrics, images and other artifacts.
Args:
... | UTF-8 | Python | false | false | 5,650 | py | 161 | tensorboard.py | 126 | 0.554159 | 0.550265 | 0 | 181 | 30.21547 | 99 |
ethanjperez/convince | 6,940,667,152,806 | 9a49b71e7a8644514247d500f9f27ce54bcb7b30 | 79e1d04867c4298b23c907f92c7119e4bea8ef02 | /allennlp/allennlp/modules/text_field_embedders/basic_text_field_embedder.py | a4e1fd2830dd711054aa69b3beaf69969601ee01 | [
"Apache-2.0"
] | permissive | https://github.com/ethanjperez/convince | 53db0bcd978831799c68fe63ecb0c91473ec40c4 | ccf60824b28f0ce8ceda44a7ce52a0d117669115 | refs/heads/master | 2023-01-08T09:12:16.722614 | 2021-11-03T18:50:30 | 2021-11-03T18:50:30 | 205,189,291 | 27 | 8 | Apache-2.0 | false | 2023-01-05T22:43:12 | 2019-08-29T15:03:34 | 2021-11-03T18:51:00 | 2023-01-05T22:43:07 | 108,155 | 24 | 6 | 7 | Python | false | false | from typing import Dict, List
import warnings
import torch
from overrides import overrides
from allennlp.common import Params
from allennlp.common.checks import ConfigurationError
from allennlp.data import Vocabulary
from allennlp.modules.text_field_embedders.text_field_embedder import TextFieldEmbedder
from allennlp... | UTF-8 | Python | false | false | 8,587 | py | 840 | basic_text_field_embedder.py | 586 | 0.635379 | 0.634797 | 0 | 162 | 52.006173 | 109 |
hyucel/ili9342c_mpy | 15,822,659,539,740 | 96cbcca9b0c666b79f8464a53a442bacd5177524 | 652f531205a5701205cd6758ee159eb698f9e55a | /examples/M5STACK/rot.py | 850144c5926f31075b5c5e03aed4a665158b1207 | [
"MIT"
] | permissive | https://github.com/hyucel/ili9342c_mpy | 4c8863f2335ec058d1fb4a6bcf78a3993dfea169 | 4022a8372b586358a3e9a4f45fafe82c1d5469e7 | refs/heads/main | 2023-06-24T20:00:21.420299 | 2021-07-21T02:51:30 | 2021-07-21T02:51:30 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | """
fonts.py
Pages through all characters of four fonts on the M5Stack Display.
"""
import utime
import random
from machine import Pin, SPI
import ili9342c
import vga1_bold_16x32 as font
def main():
tft = ili9342c.ILI9342C(
SPI(
2,
baudrate=60000000,
polarity=1,
... | UTF-8 | Python | false | false | 1,012 | py | 20 | rot.py | 14 | 0.470356 | 0.399209 | 0 | 53 | 18.09434 | 70 |
Sirius79/fuzzy-logic-controller | 4,784,593,613,319 | e20dc752ba30debd2c84d3e73ebf6dcacfce799f | e7626895a0832d345f65e408fb54e4d317e7eb35 | /Fuzzy logic controller/defuzzify.py | 98973a6f5076974a222a433ed062fe60f2ee7d4c | [
"MIT"
] | permissive | https://github.com/Sirius79/fuzzy-logic-controller | 761be9b773a8509c3ca472296427b36a8c514014 | 0b67015eedd25e560d77e1b548a684138e5a7337 | refs/heads/master | 2020-04-22T16:24:22.626389 | 2019-02-18T18:13:07 | 2019-02-18T18:13:07 | 170,506,554 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null |
def maximum(**kwargs):
maxim = 0
max_key = None
for key, value in kwargs.items():
if value > maxim:
max_key = key
maxim = value
return max_key, maxim
def get_area(fuel):
centre = 0
area = 0
if fuel == 0:
area = 50
centre = 50
elif fue... | UTF-8 | Python | false | false | 577 | py | 6 | defuzzify.py | 5 | 0.467938 | 0.400347 | 0 | 29 | 18.862069 | 37 |
Hunter2809/revolt.py | 11,562,052,000,549 | ccdcdd017fa632b586cdfc1f11c5e6012f40a848 | e97251549ad7f2a3d0ecb6d1233d693b20dc02e8 | /revolt/server.py | 7e0aea25cf918a8849fa85294f329d2be275eb03 | [
"MIT"
] | permissive | https://github.com/Hunter2809/revolt.py | 541a27c371c1190367534a178595194b053137f9 | 31fc9b4de6e3007107a149eddae9680417c4c8d8 | refs/heads/master | 2023-09-01T18:42:42.908895 | 2021-10-24T17:34:05 | 2021-10-24T17:34:05 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from __future__ import annotations
from typing import TYPE_CHECKING, Optional, cast
from .channel import Channel
from .permissions import ServerPermissions
from .role import Role
if TYPE_CHECKING:
from .member import Member
from .state import State
from .types import Server as ServerPayload
__all__ = (... | UTF-8 | Python | false | false | 3,444 | py | 13 | server.py | 12 | 0.55662 | 0.55662 | 0 | 119 | 27.941176 | 133 |
llanesm/life_generator_project | 8,091,718,426,853 | a3b9b0559ff0a88ed7e78af4e40e826e99c8735e | 2de7a12a5d983b5e7ba52b2dbc24af641d45a752 | /life-generator.py | a4729ad15614b5502f33cb1d230d336ee0e5810a | [] | no_license | https://github.com/llanesm/life_generator_project | 6a54e343d12bf17903b78c6a6badfa1b789ad04a | 417fe26da9b8d0bc381db716496596be93cc3d1d | refs/heads/main | 2023-03-09T11:23:14.904789 | 2021-03-01T02:41:24 | 2021-03-01T02:41:24 | 338,403,947 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # Matthew Llanes
# Last Update: 2/28/2021
import csv
import sys
from tkinter import *
from tkinter import ttk
import os
def search_sort(search_results, top_amount):
"""
Performs a series of sorts and slices to provide the top toys in given category
:param search_results: list of products whose category m... | UTF-8 | Python | false | false | 10,543 | py | 2 | life-generator.py | 1 | 0.628758 | 0.624016 | 0 | 273 | 37.619048 | 115 |
AchimGoral/DI_Bootcamp | 5,274,219,864,861 | 48558ca97bbaf6d263c09edd405475d08c415fd8 | b37fdefb01d7b93a4f56a7c7cc60f9f78549de4c | /DI_Bootcamp/Week_8/Day_3/Exercise_XP/gifapp_root/gif/admin.py | 4629c5c5f6b11a9d241a082b372f10ef64e99394 | [] | no_license | https://github.com/AchimGoral/DI_Bootcamp | e7b13d7397ab5c9e5ad8041430c8bfbafec13c88 | 9345731503e2bb298bd3a579ffad590350f13df5 | refs/heads/main | 2023-04-18T20:06:45.631067 | 2021-05-01T08:08:45 | 2021-05-01T08:08:45 | 328,769,128 | 0 | 1 | null | false | 2021-01-27T14:30:09 | 2021-01-11T19:24:48 | 2021-01-27T14:26:29 | 2021-01-27T14:30:09 | 20,055 | 0 | 0 | 0 | HTML | false | false | from django.contrib import admin
from.models import * # Gif(mtm), Category
# Register your models here.
admin.site.register(Gif)
admin.site.register(Category) | UTF-8 | Python | false | false | 159 | py | 281 | admin.py | 154 | 0.786164 | 0.786164 | 0 | 6 | 25.666667 | 41 |
TerminusEst/E_Field_Calc | 300,647,731,619 | 377f5a530ee2ba08b8682e17c0796bee92d6a74d | 24300761c3c8846196600b7111370e5c3fbc6305 | /CCMC_analysis_scripts/1_READ_B.py | 92a57d33c0e624c5a58798b44cb6c428ce4fb8d5 | [] | no_license | https://github.com/TerminusEst/E_Field_Calc | 18a9150e4d45c051501ec17fa12ffbb0785f8641 | 83d533bd8853b3a17e2c38360e6eddd7ad9da534 | refs/heads/master | 2021-01-23T07:51:16.356803 | 2019-04-10T15:28:03 | 2019-04-10T15:28:03 | 80,513,869 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import os
from draco import EField as ef
import aacgmv2
import matplotlib.dates as mdates
#/usr/bin/ffmpeg -r 30 -f image2 -i %03d.png -vf "scale=trunc(iw/2)*2:trunc(ih/2)*2" -vcodec libx264 -crf 10 -pix_fmt yuv420p 2003_11_20_Scan.mp4
##################################################################################... | UTF-8 | Python | false | false | 5,149 | py | 26 | 1_READ_B.py | 22 | 0.550204 | 0.51408 | 0 | 139 | 35.647482 | 145 |
nohtanoj/autorubric | 12,206,297,104,092 | f99459d6795b6758ba8500cc0192e17aed1d1533 | 5053aca9fc86fcc372446f5339df7137f598d64e | /autorubric/rubric/proc_data.py | 91627bed185554107a3787b92521746d7301a058 | [] | no_license | https://github.com/nohtanoj/autorubric | d795dac4369a79838052d72d4e8e5f203098a9a6 | 54b7b65c50bd28474fb08be8548ca0c8b65b239a | refs/heads/master | 2020-04-10T14:53:29.711742 | 2019-05-16T15:07:34 | 2019-05-16T15:07:34 | 161,090,576 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | """
Process response and reference data files
"""
from rubric.utils import normalize
import collections
import csv
EMAIL_COL_RESPONSES = 'Email Address'
def proc_responses(fname, problem, students=None):
"""
Generate valid and invalid submissions
(in terms of compilability) for a particular problem.
... | UTF-8 | Python | false | false | 4,411 | py | 27 | proc_data.py | 26 | 0.560871 | 0.55951 | 0 | 116 | 37.025862 | 109 |
dambergn-codefellows/py401_data-structures-and-algorithms | 2,516,850,874,253 | df2369ff2d0330ef45c1ddd3e076d51303e386b5 | c328b3fdcffbe7dc879e5304358aef2cd8061cfb | /challenges/array_shift/test_array_shift.py | 2816917f172bc05eeccf79b3fdbe5bcf65c26ef3 | [
"MIT"
] | permissive | https://github.com/dambergn-codefellows/py401_data-structures-and-algorithms | 35652237173192a0b1779310a351df0ec77ae930 | 64ca78a70c9de8bee37459481eb8ce0d359b1bb8 | refs/heads/master | 2020-03-26T06:43:56.841490 | 2018-09-28T20:50:01 | 2018-09-28T20:50:01 | 144,619,223 | 0 | 0 | MIT | false | 2018-09-28T20:50:02 | 2018-08-13T18:36:39 | 2018-09-06T06:36:55 | 2018-09-28T20:50:02 | 22,833 | 0 | 0 | 0 | Python | false | null | from .array_shift import insertShiftArray
import pytest
def test_array_array_module_exists():
assert insertShiftArray
def test_array_add_middle_even():
expected = [1,2,3,4,5]
actual = insertShiftArray([1,2,4,5], 3)
assert expected == actual
def test_array_add_middle_odd():
expected = [1,2,3,4,5,6]
act... | UTF-8 | Python | false | false | 668 | py | 31 | test_array_shift.py | 18 | 0.685629 | 0.60479 | 0 | 30 | 21.3 | 47 |
VorTECHsa/python-sdk | 13,305,808,689,364 | b84c740e33f367097dcf1a6eec930e682fa41de0 | f853366f0f7574610034bf83585269775d3dd03a | /docs/examples/2_crude_from_saudi_arabia_to_india.py | a0708ece0781fa58ee6f2ef42bdbff4a4f450d11 | [
"Apache-2.0"
] | permissive | https://github.com/VorTECHsa/python-sdk | 0355094bc245bf1b1c9c6f396fadf30196bf6729 | f994d6a0c5a87e3e08a0bdec4b5b2cdb9e125c10 | refs/heads/master | 2023-09-01T21:42:15.633706 | 2023-08-31T09:14:00 | 2023-08-31T09:14:00 | 218,062,510 | 10 | 8 | Apache-2.0 | false | 2023-09-14T08:16:26 | 2019-10-28T14:13:16 | 2022-12-14T23:07:23 | 2023-09-14T08:16:25 | 37,598 | 19 | 7 | 39 | Python | false | false | """
Let's find all crude cargo movements from Saudi Arabia to India that loaded in the last month.
The below script returns a `pd.DataFrame`, similar to the table given in the movements tab of `https://analytics.vortexa.com`,
filtering on `Products: Crude` with `Origin: Saudi Arabia`, `Destination: India` and `Date R... | UTF-8 | Python | false | false | 4,021 | py | 231 | 2_crude_from_saudi_arabia_to_india.py | 146 | 0.687143 | 0.681671 | 0 | 90 | 43.677778 | 130 |
jrying/algorithm_practice | 3,315,714,796,205 | e053ce850e4e89da6e223e9822a84dcdd2063c24 | 3c15c260736cafd9e691585fb50512e844345fd5 | /codelets/connected_component.py | 937fc356964d1735ae387c76bbbe20c040b464d9 | [] | no_license | https://github.com/jrying/algorithm_practice | 10a94033723144a45cd656aff5562957c8667438 | da1ba84e4a552dfefc6ee0079858aa508e8ab2da | refs/heads/master | 2020-12-22T07:59:20.211871 | 2016-08-10T10:53:46 | 2016-08-10T10:53:46 | 16,938,384 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import itertools
# With library
# Without library
| UTF-8 | Python | false | false | 53 | py | 62 | connected_component.py | 50 | 0.754717 | 0.754717 | 0 | 6 | 7.833333 | 17 |
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