blob_id stringlengths 40 40 | directory_id stringlengths 40 40 | path stringlengths 3 281 | content_id stringlengths 40 40 | detected_licenses listlengths 0 57 | license_type stringclasses 2
values | repo_name stringlengths 6 116 | snapshot_id stringlengths 40 40 | revision_id stringlengths 40 40 | branch_name stringclasses 313
values | visit_date timestamp[us] | revision_date timestamp[us] | committer_date timestamp[us] | github_id int64 18.2k 668M ⌀ | star_events_count int64 0 102k | fork_events_count int64 0 38.2k | gha_license_id stringclasses 17
values | gha_event_created_at timestamp[us] | gha_created_at timestamp[us] | gha_language stringclasses 107
values | src_encoding stringclasses 20
values | language stringclasses 1
value | is_vendor bool 2
classes | is_generated bool 2
classes | length_bytes int64 4 6.02M | extension stringclasses 78
values | content stringlengths 2 6.02M | authors listlengths 1 1 | author stringlengths 0 175 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
334249cec979a5fe4f70253adb78273457ef3d2b | 8dbde2f77c1c213a3477d21979d1cbec9aba8df7 | /baselines/her_pddl/ddpg.py | 4a33ccf8a99aaf748725c80e65bd41828b240775 | [
"MIT"
] | permissive | fabawi/goal_conditioned_RL_baselines | 04694e216d5024093c7135e68459338bc9ed6926 | 915fc875fd8cc75accd0804d99373916756f726e | refs/heads/master | 2023-01-08T12:11:57.130496 | 2020-08-14T13:28:52 | 2020-08-14T13:28:52 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 18,984 | py | from collections import OrderedDict
import numpy as np
import tensorflow as tf
from tensorflow.contrib.staging import StagingArea
from baselines import logger
from baselines.util import (
import_function, store_args, flatten_grads, transitions_in_episode_batch, prob_dist2discrete)
from baselines.her_pddl.normaliz... | [
"eppe@informatik.uni-hamburg.de"
] | eppe@informatik.uni-hamburg.de |
c735627231131ebf3d41f8b0d0b2c4e1b2f91659 | 26bd175ffb3bd204db5bcb70eec2e3dfd55fbe9f | /exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/kubevirt_vm.py | ddcab20e9863af4105ed6489bcd7c4e7021b0e5a | [
"GPL-3.0-only",
"MIT",
"GPL-3.0-or-later",
"CC0-1.0",
"GPL-1.0-or-later"
] | permissive | tr3ck3r/linklight | 37814ed19173d893cdff161355d70a1cf538239b | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | refs/heads/master | 2021-04-11T04:33:02.727318 | 2020-03-25T17:38:41 | 2020-03-25T17:38:41 | 248,992,437 | 0 | 0 | MIT | 2020-03-21T14:26:25 | 2020-03-21T14:26:25 | null | UTF-8 | Python | false | false | 16,645 | py | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright: (c) 2019, Ansible Project
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
... | [
"joshuamadison+gh@gmail.com"
] | joshuamadison+gh@gmail.com |
216c67e07b22577d4087564e68fc2b07c9350297 | 02464d5cef58178de8fe68b32b109ac8a06a6d69 | /02_generate.py | b9eb61dc4eb714f48dc2b09ab5a0c8f72c2fe090 | [] | no_license | koharukoharu/AI_carcof | 27fa0325d140a4c29433c9b6438d9a20e759505d | d8d37ee1c1395ebf8c9c4503a4b749df4e6752c4 | refs/heads/master | 2020-04-10T20:23:11.349292 | 2019-01-11T09:13:29 | 2019-01-11T09:13:29 | 161,265,917 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 197 | py | # -*- coding: utf-8 -*-
from GenerateText import GenerateText
def generate_tweet():
generator = GenerateText()
print(generator.generate())
if __name__ == '__main__':
generate_tweet()
| [
"masayoshi_sakino@waku-2.com"
] | masayoshi_sakino@waku-2.com |
557e30a0058eb90a9047425be82e7edde954fedc | 4309faae9913ca6e159468b7385201ed15a54e64 | /Travelling Salesman Problem.py | 3ce0d3fa8044716dc4084e8ee0e5a3b10c7c4a6d | [
"MIT"
] | permissive | anshuljain21120/Genetic-Algorithms | 69f27988d8edd466101d5fde1b3d53dc002613a0 | fe53ea259929af739f46881f7b394472d811d7bf | refs/heads/master | 2020-09-12T02:51:12.559464 | 2019-12-12T05:25:49 | 2019-12-12T05:25:49 | 222,276,678 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,795 | py | import random
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
def fitness(chrm,distances):
dis = 0
for i in range(len(chrm)-1):
dis += distances[chrm[i]][chrm[i+1]]
dis += distances[chrm[0]][chrm[len(chrm)-1]]
return dis
def randinit(n,lenchrm,dis):
df = pd.D... | [
"noreply@github.com"
] | noreply@github.com |
580d51ce82ab0853343de7bbef2392334147e0e8 | 1f5a437354efeaffc4d5e04db9596d51398e63db | /cmake-build-debug/catkin_generated/pkg.develspace.context.pc.py | c795e5db2188c0fe3b8abcde3aaefad3d73382e3 | [] | no_license | fbjelonic/xbox_controller | 1bd9caadb5438ebf14993fa35e5a987be285507e | 9576f6afd8f515c1088420f46e060f9065a845f9 | refs/heads/master | 2021-04-24T00:07:25.985052 | 2021-01-24T19:35:32 | 2021-01-24T19:35:32 | 250,039,784 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 705 | py | # generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "/home/filip/banana_ws/src/xbox_controller/cmake-build-debug/devel/include;/home/filip/banana_ws/src/xbox_controller/include".split(';') if "/home/filip/banana_ws/src/xbox_controller/cmake-build-debug/d... | [
"filip.bjelonic@gmail.com"
] | filip.bjelonic@gmail.com |
156d6f7fc512c8f3ba50b7135ffd548e1d30f08e | 8e75843fc2b27d50e1f8a95f0367a3a96a3dae30 | /Code/python_quote.py | a1cb9f69bbba8935805a704b36ca94ea7291b786 | [] | no_license | franklin-phan/CS-2-Tweet-Generator | 5f122e2aab7a6ee749feb888d094c8057671a7ee | fedb9ba46be3f31a1586f8d64986ec92c58296b6 | refs/heads/master | 2021-07-14T14:37:13.404088 | 2020-03-06T07:08:03 | 2020-03-06T07:08:03 | 236,772,553 | 0 | 0 | null | 2021-03-20T02:58:02 | 2020-01-28T15:47:39 | Python | UTF-8 | Python | false | false | 332 | py | import random
quotes = ("It's just a flesh wound.",
"He's not the Messiah. He's a very naughty boy!",
"THIS IS AN EX-PARROT!!")
def random_python_quote():
rand_index = random.randint(0, len(quotes) - 1)
return quotes[rand_index]
if __name__ == '__main__':
quote = random_python_quote(... | [
"franklin.phan123@gmail.com"
] | franklin.phan123@gmail.com |
a650fcc83f32dd0898f953ec683b1b54eb77b733 | 233f97c6f360d478bf975016dd9e9c2be4a64adb | /guvi3.py | 6dd143242eb16cf5b6ec3091f1ddba172fd1f82f | [] | no_license | unknownboyy/GUVI | 3dbd1bb2bc6b3db52f5f79491accd6c56a2dec45 | d757dd473c4f5eef526a516cf64a1757eb235869 | refs/heads/master | 2020-03-27T00:07:12.449280 | 2019-03-19T12:57:03 | 2019-03-19T12:57:03 | 145,595,379 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 332 | py | def check(n):
count = 0
for i in str(n):
count+=int(i)
if str(count)[0]=='1':
return count
else:
return False
n = int(input())
l = [8]
c = 0
diff = 2
curr = 800
while curr+diff<=n:
curr+=diff
w = check(curr)
if w!=False:
l.append(w)
diff+=2
c+=1
print(... | [
"ankitagrawal11b@gmail.com"
] | ankitagrawal11b@gmail.com |
c6b5a89e10f3042dbf3e41d7c89e392ca76b813f | a5668837dbc639e87460c3c725539e97a2698667 | /chapter-4/7_build_order.py | 1929fc9bc52c99a26ee48f889ac4ff1d1ea6e693 | [] | no_license | shanminlin/Cracking_the_Coding_Interview | 6ea2a4a103fcd5ebcac956f715d15b7593587a69 | 133165d879a76f86ba0fa3fea723203118e9ef11 | refs/heads/master | 2022-09-12T21:28:08.926935 | 2020-06-03T07:49:49 | 2020-06-03T07:49:49 | 195,264,456 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 394 | py | """
Chapter 4 - Problem 4.7 - Build Order
Problem:
You are given a list of projects and a list of dependencies (which is a list of pairs of projects,
where the second project is dependent on the first project). All of a project's dependencis must be
built before th project is. Find a build order that will allow the pro... | [
"shanminlin@gmail.com"
] | shanminlin@gmail.com |
35ffd32429dda0c8f6f7fc732cecded99c89a129 | 3e395616b524f7c416d3eb5bedcb385efc9476b9 | /Python - University of Michigan/02 Python Data Structures - University of Michigan/170813_coursera_pds.py | 7fa10f5b001a560c1e1b7dd8dd1946a9e5cdd417 | [] | no_license | rohannanaware/Python | 614f925c25a49852f3fe875367d61c089d3980f4 | d1f49571aac0f3b13c450311f420a26f2f70b910 | refs/heads/master | 2021-09-12T08:46:35.391638 | 2018-04-15T16:54:00 | 2018-04-15T16:54:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,055 | py | #Author : Rohan M. Nanaware
#Date C.: 13th Aug 2017
#Date M.: 13th Aug 2017
#Purpose: Python data structures code documentation
#6.1 Strings
fruit = 'banana'
print(fruit[0])
print(len(fruit))
for i in range(len(fruit)):
print(i, fruit[i])
for letter in fruit:
print(letter)
#Slicing strings - Upto ... | [
"noreply@github.com"
] | noreply@github.com |
b39e0b8dd9b5b7433907c2c42d410fd4a1992a54 | 97cd75e0a505e3a499f292a671d1bbf678e59ad3 | /extras/[Day03.x]CrossedWires-Rendering.py | d8ada5180189cb430960eeb42512bcba7bffb294 | [] | no_license | cgdilley/AdventOfCode2019 | 53768e96eb629d8b9a8a27bd2bdbcb0bf7280f61 | 6e5816ea7e9e7c9921a139a328234d79c04e2f50 | refs/heads/master | 2020-09-22T12:55:16.869258 | 2019-12-13T10:10:11 | 2019-12-13T10:10:11 | 225,205,308 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,345 | py | import pygame
from shared.day3 import load_wires, Wire
import time
import sys
from typing import Tuple
Coord = Tuple[int, int]
def main():
wire1, wire2 = load_wires()
render_wires(wire1, wire2, progressive=True, speed=30)
#
#
def render_wires(*wires: Wire, progressive: bool, speed: int):
bounds =... | [
"christopher@cabuu.de"
] | christopher@cabuu.de |
112b70a8cb49822a6647aa03586fb30a695eb9e9 | 6684fa1ad429185b3008058b763f2a3874a75e5e | /python_spj.py | c5b467cdc3336105478663ea4d3995b13c2134f6 | [] | no_license | DeepsnowTech/QubitOnlineJudgeBackend | b43c84c1e75e824b47ffb1196b41ce07a605fd9e | 434f87e568687dc1c58fc6715c2896d61a130446 | refs/heads/main | 2023-02-13T11:19:53.995413 | 2021-01-14T14:32:18 | 2021-01-14T14:32:18 | 328,137,570 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,501 | py | import os
import subprocess
SPJ_WA = 1
SPJ_AC = 0
SPJ_ERROR = -1
PY_SPJ_HOME = "/code/ProblemCenter/PythonSPJ/"
def py_spj_run(spj_src_path, test_in_file_path, user_out_file_path):
problem_id = get_problem_id(spj_src_path)
return _py_spj_run(problem_id, test_in_file_path, user_out_file_path)
def _py_spj_run... | [
"doomspec@outlook.com"
] | doomspec@outlook.com |
dd6599933934b2322beb606cd62f466192ff2185 | f450ab7329a2e5182d4b8e798a0192580949c737 | /src_detection/HOG_SVM/pedestran_detect_me_without_train_16.py | c793711b38c46b6eebc05a090b2996bf24165e62 | [] | no_license | xuelanglv/KCF_IOU_Tracker | 96e0f03a7ad24d30fa0430c2466a515119532611 | bccaa0c145b6f58dec75d5843de4995c5aeba136 | refs/heads/master | 2020-05-25T19:36:57.125575 | 2019-04-27T03:09:01 | 2019-04-27T03:09:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,453 | py | # *_*coding:utf-8 *_*
# 参考资料：https://blog.csdn.net/qq_33662995/article/details/79356939
#
# author: 许鸿斌
import os
import sys
import cv2
import time
import logging
import numpy as np
import pandas as pd
def logger_init():
'''
自定义python的日志信息打印配置
:return logger: 日志信息打印模块
'''
# 获取logger实例，如果参数为空则返回ro... | [
"15822775539@163.com"
] | 15822775539@163.com |
a98677c79904384ea4f9182f45560317822060b0 | 1eb50735e3861cde4bca8f4feab5afc730003078 | /future/flags_threadpool.py | 68c2812cf5337155961672ac7f2d7ec0945eca02 | [] | no_license | chinaylssly/fluent-python | 442e6458215e3c5a74c4d34d020b714da108f81d | 126c1d3e7853628c4a2c0e6ff475362b7d7fe33a | refs/heads/master | 2020-04-17T13:58:03.534184 | 2019-02-01T14:40:42 | 2019-02-01T14:40:42 | 166,637,609 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 924 | py | # -*- coding: utf-8 -*-
import random,sys
from time import sleep,time
from concurrent import futures
MAX_WORKERS= 20
tl=[i*0.01 for i in range(20)]
def do_one(t=0.2):
# print (t)
sleep(t)
return t
def do_many(tl=tl):
workers=min(len(tl),MAX_WORKERS)
with futures.ThreadPoolExecutor(worke... | [
"chinaylssly@qq.com"
] | chinaylssly@qq.com |
819929e661e932eb05fa4daed21aad26f4396234 | 92a08e6bca398d9a59f18aabb67090869a2ec963 | /bagua/torch_api/data_parallel/functional.py | c12a379f2083826838ecb87c830b4d4751871a8f | [
"MIT"
] | permissive | JCGit2018/bagua | 74e77e3b4062075824a407e8f739f1dfa8b1bd7c | 689bb20623bb72a929758b54c67689e1639f2d12 | refs/heads/master | 2023-09-02T17:32:00.068437 | 2021-11-16T09:07:07 | 2021-11-16T09:07:07 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,253 | py | import enum
import torch
from torch.autograd import Function
import torch.distributed as dist
# must be consistent with Aluminum ReductionOperator: https://github.com/BaguaSys/Aluminum/blob/master/include/aluminum/base.hpp
class ReduceOp(enum.IntEnum):
"""An enum-like class for available reduction operations: ``S... | [
"noreply@github.com"
] | noreply@github.com |
b831e9344373a01d47963d9f219b70d3348677fd | 472c1437ac75d3cfa0e4a262c43d30f2d8e5c240 | /ISM4402_workbookA1.py | cde017455dde1401fc094fafdeff4d2e00666437 | [] | no_license | pwanner/ISM-4402 | 871153a785caf4e101d33ae0b3769897d438d27d | 1d23d01000845bdd2429af46bace8097ccfcee00 | refs/heads/master | 2020-07-23T04:32:09.227897 | 2019-12-02T16:09:21 | 2019-12-02T16:09:21 | 207,446,910 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,045 | py | #!/usr/bin/env python
# coding: utf-8
# In[1]:
path_to_zip_file = "datasets.zip"
directory_to_extract_to = ""
import zipfile
zip_ref = zipfile.ZipFile(path_to_zip_file, 'r')
zip_ref.extractall(directory_to_extract_to)
zip_ref.close()
# In[2]:
import pandas as pd
Location = "datasets/smallgradesh.csv"
df = pd.rea... | [
"noreply@github.com"
] | noreply@github.com |
25a966ceab5d2deb560acac18c7d2c9729e93236 | be999cad30c28d0370a57b73057cb734fdffbf23 | /workshop_corona19/corona19_07_여행력.py | 899ed6dd8d5552a0e7aa1dc68988569ffc65f5fa | [] | no_license | choicoding1026/ML | 341181d5b1088f48fa0336a6db773ed7cfbecc21 | 69db5fcd559a7a41ce9fb0ece543d3cf9b44d5bb | refs/heads/master | 2023-01-01T07:35:09.655664 | 2020-10-15T07:41:50 | 2020-10-15T07:41:50 | 303,907,947 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,833 | py | '''
서울시 코로나19 데이터 수집 및 분석
26. 여행력
'''
import pandas as pd
import numpy as np
file_name = "seoul_corona_10_11_.csv"
df = pd.read_csv(file_name, encoding="utf-8") # 한글처리
# 1. '연번' 기준으로 오름차순 정렬
df = df.sort_values(by="연번", ascending=False)
print("1. '연번' 기준으로 오름차순 정렬:\n", df.head())
# 2. 확진일의 빈도수 ==> 어느 날짜에 가장 ... | [
"justin6130@gmail.com"
] | justin6130@gmail.com |
7d3286a307ecea8c8c07ea2d6f62606007ac26d0 | 1dd57fce35b0dee6d12a0a16473c1d7ff5df408d | /Assignment.8.5.py | c96d8ececa8738de6fcc0c797e365bab51a08b16 | [] | no_license | JohnyWilson/ChuckPython | 4b2770796a0466366d4c0b2414d6f2ca419bcfb7 | 6e4d2b446ce7f9305af202005aa2b1ece16dd44d | refs/heads/master | 2021-01-10T16:36:47.459263 | 2015-12-15T05:21:21 | 2015-12-15T05:21:21 | 47,785,993 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 898 | py | # 8.5 Open the file mbox-short.txt and read it line by line. When you find a line that starts with 'From ' like the following line:
##### From stephen.marquard@uct.ac.za Sat Jan 5 09:14:16 2008
# You will parse the From line using split() and print out the second word in the line (i.e. the entire address of the person... | [
"imemyself9163@gmail.com"
] | imemyself9163@gmail.com |
218da19b57c5712555289e34068f1467c2a0dd69 | 16047f965a69893a8cd2c8d18fbd7b9c86a07eb3 | /src/networkx/algorithms/tree/mst.py | b7b8c1d9326cb3ad5fb75cc1770917b253928b1e | [
"Apache-2.0",
"LicenseRef-scancode-proprietary-license",
"MIT"
] | permissive | guctum/aws-kube-codesuite | 9ce2cc02fe5fa15c2e175fb697138014fb162f1e | 5d62beaadc13bec745ac7d2fc18f07805e91cef3 | refs/heads/master | 2021-05-24T10:08:00.651840 | 2020-04-23T20:21:46 | 2020-04-23T20:21:46 | 253,511,083 | 0 | 0 | Apache-2.0 | 2020-04-06T13:48:14 | 2020-04-06T13:48:13 | null | UTF-8 | Python | false | false | 21,167 | py | # -*- coding: utf-8 -*-
# Copyright (C) 2017 NetworkX Developers
# Aric Hagberg <hagberg@lanl.gov>
# Dan Schult <dschult@colgate.edu>
# Pieter Swart <swart@lanl.gov>
# Loïc Séguin-C. <loicseguin@gmail.com>
# All rights reserved.
# BSD license.
"""
Algorithms for calculating min/max spanning trees/f... | [
"olari@784f435df7a4.ant.amazon.com"
] | olari@784f435df7a4.ant.amazon.com |
989528ac7820dca22e21aec571ce43ed89e4c1a0 | e3e3071e5f01f75ba3716ac229abef484e8c051a | /mnist.py | f9639c963cb10a4bdcfc9a82659ccfe73a01289c | [] | no_license | schmit/dictlearning | 9efc9e15e73a99f840db71d81925dbe7c0bd22d0 | 14c37631aa4d330d58fc174b2294866e2484d5d0 | refs/heads/master | 2021-01-10T04:06:33.899917 | 2013-03-15T18:40:33 | 2013-03-15T18:40:33 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,943 | py | import numpy as np
import scipy.io as sio
import dictionary
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
from multiOGD import *
from kernels import *
import sys
import argparse
import utility
sys.stdout = utility.Logger()
print 'Starting run of MNIST.py'
parser = argparse.ArgumentParser(descriptio... | [
"schmit@stanford.edu"
] | schmit@stanford.edu |
c271649567b1d4fcc6318325d96d7492f682fd23 | 0837592e2900db9ec8cf7fdb6fcce3053af7aeae | /New Main.py | 85b701d2fb9156512fd98900c6da509d5fde2472 | [] | no_license | AbdullahAjiPratama/GoldPrice-Prediction | 5e3ce396aa82e0c223e11b6ae551c69831b72ed6 | 46807984b540104645202402458ebbe98d21bdd0 | refs/heads/master | 2020-08-10T17:30:38.877698 | 2017-02-22T08:06:18 | 2017-02-22T08:06:18 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,114 | py | #Import semua prosedur dari file Datahandler.py
import Datahandler as dh
import ann2 as ann
import numpy as np
#BAGIAN INI DIKHUSUSKAN UNTUK TRAINING DATA
#CHANGEABLE VARIABLE : File DATA TRAINING
fileTrain = 'DataTrainSMA.xlsx'
data, target = dh.generateToSeries(fileTrain, 3)
#CHANGEABLE VARIABLE ... | [
"noreply@github.com"
] | noreply@github.com |
24ebdd333e00edb3f74ccd4677e9ab43d5c096e3 | c03d7a4e03c581d4be98b6363003cddb9c213ec0 | /pets/migrations/0007_auto_20180910_0016.py | 6228879999e3df790cc687d09ad854b059402325 | [] | no_license | hernandavidc/plataforma | b333e4f06290713072d8dc609c27d4ce8af1d9df | 4316e2a59db76e74f1e6106958631ad4a7a653c7 | refs/heads/master | 2020-04-06T17:08:21.019355 | 2019-04-09T04:41:00 | 2019-04-09T04:41:00 | 157,648,096 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 771 | py | # Generated by Django 2.1 on 2018-09-10 05:16
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('pets', '0006_auto_20180910... | [
"hernandavidc@hotmail.com"
] | hernandavidc@hotmail.com |
a3eefa3f23a8dfe00c158170d73f421c29d1e373 | c79737296bdf4b3a969ab5ceb69198daf66def0e | /python/solutii/bogdan_iacoboae/caesar/caesar.py | 315bde89ddbea8afd9d78e0152861ba4b9c51fa0 | [
"MIT"
] | permissive | ilieandrei98/labs | 96c749072b6455b34dc5f0bd3bb20f7a0e95b706 | cda09cbf5352e88909f51546c2eb360e1ff2bec1 | refs/heads/master | 2020-04-26T03:23:48.220151 | 2019-03-01T08:56:43 | 2019-03-01T08:56:43 | 173,265,757 | 0 | 0 | MIT | 2019-03-01T08:37:14 | 2019-03-01T08:37:14 | null | UTF-8 | Python | false | false | 1,939 | py | # coding=utf-8
# from __future__ import print_function
"""Împăratul a primit serie de mesaje importante pe care este
important să le descifreze cât mai repede.
Din păcate mesagerul nu a apucat să îi spună împăratul care au fost
cheile alese pentru fiecare mesaj și tu ai fost ales să descifrezi
misterul.
Informații:
... | [
"mmicu@cloudbasesolutions.com"
] | mmicu@cloudbasesolutions.com |
5f3bf0a00a97af0ee8dafb8ced4351ea6a96ee71 | 6373ae8a308d5d8a7a100a36933b2e7de22638cf | /ldpc_jossy/py/ldpc.py | 7841745ac8da20912be0cd1097fb01eb0a6de236 | [] | no_license | appleginny/Test_LDPC | 5c0b79eeb0b61180cc0a7d833f5c1b95529fb46c | a39a3f92dc836eaff6cc29459e753e1c23ae52e1 | refs/heads/main | 2023-05-08T03:23:30.124992 | 2021-05-26T08:46:05 | 2021-05-26T08:46:05 | 370,964,996 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 35,147 | py | from types import DynamicClassAttribute
import numpy as nphttps://github.com/appleginny/Test_LDPC/blob/main/ldpc_jossy/py/ldpc.py
import ctypes as ct
class code:
def __init__(self, standard = '802.11n', rate = '1/2', z=27, ptype='A'):
self.standard = standard
self.rate = rate
self.z = z
... | [
"noreply@github.com"
] | noreply@github.com |
9cc6631841e0d557fe5f7c550d607b43dd261df1 | 859fcc80ae3fcb062afba484344db4d061fd2bb0 | /baseline/similarity.py | 251517e2387474af47a1a8649da75220f4d3e563 | [] | no_license | theblackcat102/who-wants-to-join | ee0cf4e5f1aa979edfc09651497d042d27b0e9b9 | 3f2e40454423fc96e1d93b54fb46e4ac083fb210 | refs/heads/master | 2022-08-27T05:28:35.137639 | 2020-05-03T06:58:24 | 2020-05-03T06:58:24 | 227,043,853 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,578 | py | from dataset.aminer import Aminer
from dataset.meetup import Meetup,locations_id
import numpy as np
import pickle
from sklearn.metrics import f1_score
from src.utils import dict2table, np_confusion, str2bool
def similarity_evaluation(dataset, embeddings, user_node_id, top_k=20, user_size = 399212):
name2id = embed... | [
"zhirui09400@gmail.com"
] | zhirui09400@gmail.com |
6ffd1941c7d2a0e2f96614bc4e481f9522b2e3f1 | 53e7a7eaa898ed070e1bcf8ecee6cfe37454ceb4 | /network/tf_net.py | 9d0a7338fe4d3472c847d6af718e36b0a981e93a | [] | no_license | joshualley/VoiceScope | dcf0026068ac5f981ed70f69280f117c124dbee2 | cf6d09aef473bdffdb4e77e53ce2cc25e81b91f2 | refs/heads/master | 2020-03-23T23:30:47.770874 | 2018-07-25T02:55:19 | 2018-07-25T02:55:19 | 142,238,842 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,393 | py | import time
import numpy as np
import tensorflow as tf
import os
from configuration.config import PATH
from utils.utils import read_fontnames, load_words
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
def read_from_npy(batch_size, num=1):
path = PATH.DATASET_DIR+'train_one.npy'
features = np.load(path).astype(np.fl... | [
"ly.silent.valley@gmail.com"
] | ly.silent.valley@gmail.com |
af0460b6768e958b118d4f766a5792cc8bd5d712 | 08a77e9d1b67362430c404d044d1cff831a07dfa | /2021/day-09/solution1.py | 87ef0bce3fce0ad478cecdaf8dcf9bed61b938dd | [
"Unlicense"
] | permissive | TeddyDD/advent-of-code | 439974f31e30fc7ed541f56b2adf8bc365b91c86 | 6d3ba76e7312033a1255225f17a9ef580e066496 | refs/heads/master | 2022-12-11T10:39:40.339521 | 2022-12-06T07:55:53 | 2022-12-06T07:55:53 | 225,712,283 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 41 | py | import sys
map = [y for y in sys.stdin]
| [
"vision360.daniel@gmail.com"
] | vision360.daniel@gmail.com |
cea5223ecb0de449aa5326b907fde8616c1df06b | 5d0ec686240860bc3f0c611fee8fe0188536b15c | /plot_utils.py | 4a3819a588036390264f528a21278b825e387f18 | [] | no_license | kareemelbadry/projection_effects | 87212d7212c5b83f446f6be005ffc77e8d7991e1 | 3c8a9f6f1f852dcc4150ff379b3fd60cc40ffe9f | refs/heads/master | 2020-04-03T21:45:39.294743 | 2018-10-31T16:31:42 | 2018-10-31T16:31:42 | 155,580,611 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 434 | py | '''
very simple shortcuts for making plots
'''
import matplotlib.pyplot as plt
def new_column(nrow, xlim):
'''
a single column with multiple rows
'''
f, ax = plt.subplots(nrow, 1, figsize = (6, 1+3*nrow))
plt.subplots_adjust(hspace = 0)
for i in range(nrow):
ax[i].set_xlim(xlim)
... | [
"kareem@Kareems-MacBook-Pro.local"
] | kareem@Kareems-MacBook-Pro.local |
cd010d7bf747349b82d9fd068f3b210bc383404a | d00890e73e5c16b4bab8528fc061d7c54ceeceac | /myproject/__init__.py | 000d0202daa9e5f3cc314bf9414333bebc2f5e0c | [] | no_license | satishkr39/PuppyAdoptionSite | 43d0b23e0b052de69833a3e5f129fac1e1246261 | a07ec09e64cc8f23701a3f7542989f7be050f3da | refs/heads/master | 2023-06-10T19:28:28.154570 | 2021-07-05T10:15:20 | 2021-07-05T10:15:20 | 383,097,023 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 898 | py | # __init__.py it is used to set up db and our application
from flask import Flask, render_template, url_for, redirect
from flask_sqlalchemy import SQLAlchemy
from flask_migrate import Migrate
import os
# setting our flask application
app = Flask(__name__)
app.config['SECRET_KEY'] = 'mysecretkey'
basedir = os.path.a... | [
"satishkr639@gmail.com"
] | satishkr639@gmail.com |
7e6aaa5e69e03122dd3e0dec7476a9bc38d155c2 | 971e0efcc68b8f7cfb1040c38008426f7bcf9d2e | /tests/artificial/transf_Difference/trend_MovingMedian/cycle_7/ar_/test_artificial_128_Difference_MovingMedian_7__20.py | 3857b72f05dfa8e9071a105b318bb037455121e2 | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | antoinecarme/pyaf | a105d172c2e7544f8d580d75f28b751351dd83b6 | b12db77cb3fa9292e774b2b33db8ce732647c35e | refs/heads/master | 2023-09-01T09:30:59.967219 | 2023-07-28T20:15:53 | 2023-07-28T20:15:53 | 70,790,978 | 457 | 77 | BSD-3-Clause | 2023-03-08T21:45:40 | 2016-10-13T09:30:30 | Python | UTF-8 | Python | false | false | 268 | py | import pyaf.Bench.TS_datasets as tsds
import tests.artificial.process_artificial_dataset as art
art.process_dataset(N = 128 , FREQ = 'D', seed = 0, trendtype = "MovingMedian", cycle_length = 7, transform = "Difference", sigma = 0.0, exog_count = 20, ar_order = 0); | [
"antoine.carme@laposte.net"
] | antoine.carme@laposte.net |
54031cba37a673bde336fdea678bd62f203009b0 | ac15c013c340e96240a866fb9f0cdec953227e9d | /Module 1/Unit_1-2/1/2.py | bfa9a5cd5e9cf2f1d1c88a36253516968465f2b3 | [] | no_license | NeroSH/python-beginner | 3c47cd11a4784bf891f40693b4fe21eaf55e6ed6 | 71f9dd350e53f8897e1f8a00228df0604c1968b6 | refs/heads/master | 2022-12-04T19:05:16.509630 | 2020-08-25T10:28:17 | 2020-08-25T10:28:17 | 286,216,431 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 150 | py | # Исправь программу
# Сделай так, чтобы программа напечатала "How do you do?"
print(How do you do?) | [
"mustafo.xon@gmail.com"
] | mustafo.xon@gmail.com |
e39687a83d7901840b63d3e947089e5c408f944d | 11137bde91389c04a95df6f6fdaf64f7f49f5f80 | /secondTest/introduction_MIT2/5_1.py | 47272dfbccb9fef4086d3fd1feaa61aff6aa3068 | [] | no_license | starschen/learning | cf3c5a76c867567bce73e9cacb2cf0979ba053d9 | 34decb8f9990117a5f40b8db6dba076a7f115671 | refs/heads/master | 2020-04-06T07:02:56.444233 | 2016-08-24T08:11:49 | 2016-08-24T08:11:49 | 39,417,895 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 718 | py | #encoding:utf8
def findDivisors(n1,n2):
divisors=()
for i in range(1,min(n1,n2)+1):
if n1%i==0 and n2%i==0:
divisors=divisors+(i,)
return divisors
divisors=findDivisors(20,200)
# print divisors
total=0
for d in divisors:
total+=d
# print total
def findExtremeDivisors(n1,n2):
d... | [
"stars_chenjiao@163.com"
] | stars_chenjiao@163.com |
c3a82f8ae4512e4c66cb1f0c074facd96d2a4bf3 | e89a3a203bd4b433c0f1acc05b2e3c89a7020a9f | /src/robots/descriptions/cheetah_simu/cheetah_sim/ros_package/cheetah_core/src/leg_control/__init__.py | 88699440d88fb79604aa080b53b86fcbe3df9d3b | [] | no_license | JJHbrams/QuadrupedMotionPlanning | 03e5dfdd8410710a26553441aa557e9585b5f10f | cf83de83776b8215b2e94dbc2afa5f59039e6d4d | refs/heads/master | 2023-01-12T11:30:38.202023 | 2020-11-11T10:52:20 | 2020-11-11T10:52:20 | 311,865,277 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 26 | py | __all__=["legController"]
| [
"dpswpfrhdid@naver.com"
] | dpswpfrhdid@naver.com |
2f56ea2d6cedf1b7304b6de0a323b6d4b0d96f6b | 382d0c69a9c4f7da95ef057e9babd657fd7963e0 | /dog_classes.py | 1f0f6f9d66b533e64c03373235a1cfc723c456aa | [] | no_license | mewen38/mikes_repo | 9503523481218486f52365f05d7aa9fb3d0263fe | 64e086317ed6663bf470708f3cee9d03777dbb7e | refs/heads/master | 2022-12-04T18:51:46.215587 | 2020-07-29T04:49:04 | 2020-07-29T05:04:05 | 202,954,078 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,964 | py | # I remember feeling very uncomfortable with classes, so I'm forcing myself to mess around after reading an article
class animal:
def __init__ (self, name, color, type):
self.animal_name = name
self.animal_color = color
self.animal_type = type
def speak(self):
print('happy thoug... | [
"michael.ewen@compass.com"
] | michael.ewen@compass.com |
49ba3fc51d417b778a7e6f918187d160af935600 | a737f2f6b731afa8c041e8f06322730069193132 | /start_game.py | 692513f10d6eff56ce7e09c65eda2be91eb78e75 | [] | no_license | qinjiang03/PokerAgent | 514c01566d4dfaa1667e3a0f097ed3b9502c8428 | 1d7d50362393d4fd29972a2357fc056fb97524e8 | refs/heads/master | 2020-04-29T02:50:33.850260 | 2019-04-08T11:09:04 | 2019-04-08T11:09:04 | 175,785,512 | 0 | 0 | null | 2019-04-08T08:07:09 | 2019-03-15T09:05:53 | Python | UTF-8 | Python | false | false | 1,611 | py | from pypokerengine.api.game import setup_config, start_poker
from randomplayer import RandomPlayer
from raise_player import RaisedPlayer
from custom.minimax_player import MiniMaxPlayer
from custom.honest_player import HonestPlayer
from custom.honest_player2 import HonestPlayer2
from custom.call_player import CallPlayer... | [
"qinjiang03@gmail.com"
] | qinjiang03@gmail.com |
a1b7503c84df5db765cd1c0cf077084232aec8f4 | 88386ed170ab6d496b87ae3e8501130b92b82cf4 | /gui-framework/app.py | 681e45e0ed55088ee3d88f1942ab3b811ce99ac6 | [] | no_license | LiuYuancheng/tls_attack | f6186dc74704928ee883f1c1a9142d42954dc7ae | 3abe611d23a87aad9c35ad253e15bc06ff4bea35 | refs/heads/master | 2022-02-22T10:42:41.478189 | 2019-09-26T08:42:25 | 2019-09-26T08:42:25 | 221,579,890 | 2 | 0 | null | 2019-11-14T00:48:49 | 2019-11-14T00:48:48 | null | UTF-8 | Python | false | false | 1,369 | py | import os
import sys
import argparse
from template import Ui_MainWindow
from PyQt5 import QtCore, QtGui, QtWidgets
parser = argparse.ArgumentParser()
# parser.add_argument('-r', '--rootdir', help='Input the root directory path containing the data in json format for all trained model. Typically, foo/bar/rnn-model/train... | [
"yilong_tan@mymail.sutd.edu.sg"
] | yilong_tan@mymail.sutd.edu.sg |
6c42121e14c982c244c5e02c8719f1cf0456c50b | 00829e1ff78f73dab073a201d68139960c1d1922 | /tools/toolset/tool/rigging/beam/core/maths/color.py | dc40bd6d1cd95c9443bd68690d5e0cbba7ef7e09 | [] | no_license | liangyongg/Beam_Tools | a021ceb4187107508536c46726da5b9629ffd1cf | 21b5d06e660f058434e589ae4f672f96296b7540 | refs/heads/master | 2018-11-04T04:43:02.523654 | 2018-08-26T12:33:09 | 2018-08-26T12:33:09 | 115,005,481 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,953 | py | """Kraken - maths.color module.
Classes:
Color -- Color object.
"""
import random
import math
from rigging.beam.core.beam_system import bs
from math_object import MathObject
class Color(MathObject):
"""Vector 4 object."""
def __init__(self, r=0.0, g=0.0, b=0.0, a=1.0):
"""Initializes r, g b and a ... | [
"hhhh"
] | hhhh |
9a987096b65f6e71be52e794d735cf712074ae9b | 28938a381a60249062d18685c36ddaa5bd4069e2 | /Fibanocci.py | 264239845db697eb77bf0f5181b20e56fb8e4b66 | [] | no_license | AmitH2000/Mycap | ab108024da938c4616ce271e3ec2ae2b0db7b528 | 881e8603474be3552464ec9f6d5a362b0fa7e73a | refs/heads/master | 2021-05-26T03:51:24.033224 | 2020-04-12T10:57:34 | 2020-04-12T10:57:34 | 254,040,542 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 112 | py | num=int(input("Enter the limit :"))
a,b=0,1
while a<num:
print(a,end=",")
a,b=b,a+b
print()
| [
"noreply@github.com"
] | noreply@github.com |
a090dee8f11f5d2e00a19ab4bc1ac21126f49a4a | 1ea0e2b4f064ba0de45a73c527ee89a36771e8fc | /tests/sentry/api/endpoints/test_project_create_sample.py | 89581e77fde5be59d789372f824b173ee52fe4f8 | [
"BSD-2-Clause"
] | permissive | atlassian/sentry | 6775e59c317f20f96982e91c2b3c88c02ecbb56b | b937615079d7b24dc225a83b99b1b65da932fc66 | refs/heads/master | 2023-08-27T15:45:47.699173 | 2017-09-18T22:14:55 | 2017-09-18T22:14:55 | 103,999,066 | 1 | 5 | BSD-3-Clause | 2023-04-01T07:49:37 | 2017-09-18T22:38:18 | Python | UTF-8 | Python | false | false | 4,940 | py | from __future__ import absolute_import
from django.core.urlresolvers import reverse
import json
from sentry.testutils import APITestCase
class ProjectCreateSampleTest(APITestCase):
def setUp(self):
self.login_as(user=self.user)
self.team = self.create_team()
def test_simple(self):
p... | [
"noreply@github.com"
] | noreply@github.com |
f72ea5adb6bb93fb22ed43dc90bdc32c3d350e5e | e9c9e38ed91969df78bbd7f9ca2a0fdb264d8ddb | /lib/python3.8/site-packages/ansible_collections/fortinet/fortimanager/plugins/modules/fmgr_pkg_firewall_policy6.py | 4e8e6249ef88271ad42c8c22653a3b534363cbf7 | [] | no_license | Arceusir/PRELIM_SKILLS_EXAM | 882fcf2868926f0bbfe1fb18d50e5fe165936c02 | b685c5b28d058f59de2875c7579739c545df2e0c | refs/heads/master | 2023-08-15T07:30:42.303283 | 2021-10-09T01:27:19 | 2021-10-09T01:27:19 | 415,167,192 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 80,550 | py | #!/usr/bin/python
from __future__ import absolute_import, division, print_function
# Copyright 2019-2021 Fortinet, Inc.
#
# 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 ... | [
"aaronchristopher.dalmacio@gmail.com"
] | aaronchristopher.dalmacio@gmail.com |
fec7c69adfe85662ef8afe4fad53eb0ed76d2067 | e35cd19277b6440371bb5dd1b92c0abfd90c1e49 | /get_background.py | 17cd858a39421c138234ef7006b073fd1618aeab | [] | no_license | sbrems/background_sources | eb1272f37b0e3b5bf7134ee69f3caa5a46bbc7f0 | 127ec0452afd01eda93dd980e6db5f592940f4f0 | refs/heads/master | 2021-01-25T05:02:12.436972 | 2017-06-14T11:46:03 | 2017-06-14T11:46:03 | 93,503,241 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,468 | py | import numpy as np
import matplotlib.pyplot as plt
from matplotlib import gridspec
from astropy.coordinates import Angle,SkyCoord
import astropy.units as u
from astropy.table import Table
from starclass import Star
from parameters import *
import pickle
import os
import ipdb
star = Star(srcname)
star.coordinates = 'a... | [
"sbrems@lsw.uni-heidelberg.de"
] | sbrems@lsw.uni-heidelberg.de |
5596e27e04441cf697f3ff37533f45e9882c9af2 | 856ada709d85f7c2c385277bbfdf07fabb24b762 | /mysite/cocktails/views.py | e67443d0717c2a5edd839bf45b05f8e1c6921ffc | [] | no_license | laurence-liu/DearLiquor.Django | 91ca130ac088ef2815355d88e940d5fb69da5350 | 395f9edda908ffedef7b9e41bc67e6cca6d5e71c | refs/heads/master | 2020-04-28T20:18:15.994826 | 2019-03-29T08:30:11 | 2019-03-29T08:30:11 | 175,540,088 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 240 | py | from django.shortcuts import render
from .models import Cocktail
# Create your views here.
def cocktail(request):
cocktails = Cocktail.objects.all()
return render(request, 'cocktail.html', {
'cocktails': cocktails,
})
| [
"laurence.liuuu@gmail.com"
] | laurence.liuuu@gmail.com |
fc68572641d5a74b599133888502a7f9c82b6d3d | cd050f1f91d516101f3a8c05f36e9ac506560b5d | /crypto_api.py | 7999f838d75d9f35c0658b52b5621d99f065bd43 | [] | no_license | jacinthd/progyny-assessment | 684dbe2b9062e106340549c0ad69cd8b8df1c967 | a2a4ca5a2de09fe2a13ffc18d8e79a6a6829f4a0 | refs/heads/main | 2023-05-14T11:56:05.373384 | 2021-06-09T17:23:24 | 2021-06-09T17:23:24 | 375,439,966 | 0 | 1 | null | 2021-06-11T02:38:08 | 2021-06-09T17:36:53 | Python | UTF-8 | Python | false | false | 1,149 | py | """Crypto API."""
from typing import Dict, List
import requests
# API Documentation - https://www.coingecko.com/en/api#explore-api
def get_coins() -> List[Dict]:
"""This function will get the top 10 coins at the current time, sorted by market cap in desc order."""
response = requests.get('https://api.coinge... | [
"jacinthdavid@gmail.com"
] | jacinthdavid@gmail.com |
b24a4d5318b0f26c286c6480a6924b655e13f8e5 | a2fc37a497c73629c88fededb4c3c925ad2d75c6 | /proyectoWeb/servicios/urls.py | cf4fafb9a238a2f02e0959892a9f3e5b697263ec | [] | no_license | atziripe/GestionPedidos | 4b212796f5bbc704c6dbf42a4fcea18e1eb4435a | 7522ce7ed8407c6e70938f7cd24a0ae92ea5fbfc | refs/heads/main | 2023-06-17T13:31:25.227177 | 2021-07-09T00:53:33 | 2021-07-09T00:53:33 | 348,610,009 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 117 | py | from django.urls import path
from . import views
urlpatterns = [
path('', views.servicios, name="Servicios"),
]
| [
"atziripg.99@gmail.com"
] | atziripg.99@gmail.com |
5bdd6cdb881c2c468c9c6d67ac53d6fa8cb63ced | 7531ccd6d19ada54a11c69b721a352500a4220f0 | /_commands/_CreateDirectory.py | 50fb1206e5e72edaf082dae022c8819f45b56fd6 | [] | no_license | pallavigusain92/FTP | 27d234e5d799c02ef67bdb1189b3a199e8bf1c8e | 68483b49cb8d70d1a7797438164c7cd89d6b4829 | refs/heads/master | 2020-04-26T00:08:03.095976 | 2019-02-28T19:15:33 | 2019-02-28T19:15:33 | 173,167,722 | 0 | 0 | null | 2019-02-28T18:55:33 | 2019-02-28T18:39:29 | null | UTF-8 | Python | false | false | 314 | py | class Command:
def do_createdirectory(self, input_directory):
"""
Command to create directory with name of new directory
Args:
input_directory (str): Name of directory you want to create
"""
print(input_directory)
response = self._perform_ftp_command('listdir')
print(response)
| [
"noreply@github.com"
] | noreply@github.com |
86f7be2c3bdb7768e0fad6cef2776da4e48735ab | 4639dec8b435074b62c4dbc8ca05d6885cb51d6e | /실습과제2/In[22].py | 8dd6ba012e1b300afb658b5e4eb513abcc605dac | [] | no_license | kimhyeyun/2020-DataMining | 10e2bbde8a8f5575f659e52e4bb17b35a2566b65 | a0c7c7d70158a828072169e13f6d1662aa2e0324 | refs/heads/master | 2021-04-07T13:24:35.317906 | 2020-06-25T01:07:23 | 2020-06-25T01:07:23 | 248,679,523 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 219 | py | from pandas import Series
s3 = Series([1.2,2.5,-2.2,3.1,-0.8,-3.2],
index = ['Jan 1','Jan 2','Jan 3','Jan 4','Jan 5','Jan 6',])
print(s3 + 4) #applying scalar operation on a numeric Series
print(s3 / 4)
| [
"cqqwer@gmail.com"
] | cqqwer@gmail.com |
1093f8dcf00af1185853fa3a81e1e25a43a616dc | 4842612668bd2378dbc2b38f922616688892ace0 | /Django/env/FTM/views.py | 7793b68bd4379d46ebe531941083e100cdbef630 | [] | no_license | CoupDgrace/FamilyProjectTracker | 1b04d697dac19dff8c3ba13e07cd409c9457c6e3 | 1a3621fe459c9c93ebfcba57eaafb08d29435a87 | refs/heads/main | 2023-07-13T02:12:49.369827 | 2021-08-30T04:34:28 | 2021-08-30T04:34:28 | 360,789,760 | 0 | 0 | null | 2021-08-30T04:34:29 | 2021-04-23T06:47:50 | TSQL | UTF-8 | Python | false | false | 1,275 | py | from django.shortcuts import render
from django.http import HttpResponse
from .models import *
from django.db.models import Q
# Create your views here.
# Home Page
def home(request):
nTicks = Tasks.objects.filter(assignedMember = 1)
kTicks = Tasks.objects.filter(assignedMember = 2)
gTicks = Tasks.objects.f... | [
"nathan.banksd@gmail.com"
] | nathan.banksd@gmail.com |
634e1c3d02aa18881bd9b4af1f650f111c07e4c7 | 9db4cf293323d83c02aa3846e172242ce3ded550 | /qa/pull-tester/rpc-tests.py | ec86971a09eedebd51c8dc16e6d568722ede2eb9 | [
"MIT"
] | permissive | mtx-coin/Matrix-Blockchain | bd0495038146cd639db655787edfa5f406806ef9 | cb8c2c4c7ec5ee911c4f43a718785241cd4ceafe | refs/heads/master | 2020-06-02T15:19:01.450287 | 2019-06-10T17:13:12 | 2019-06-10T17:13:12 | 191,206,437 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,801 | py | #!/usr/bin/env python3
# Copyright (c) 2014-2016 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""
Run Regression Test Suite
This module calls down into individual test cases via subprocess. It will
... | [
"noreply@github.com"
] | noreply@github.com |
ad62f9feb1c07f0e0d3a9a0db8defb334439b636 | a2fdcd5252741bdd3ad96f20944c07d80bd57dc8 | /class_sample.py | ca23e1669eeab4e7a15a44c5a304dc1c92735155 | [] | no_license | chaossky/Python2019 | 7cd11aab7cecf23acb42b7635f8bfb506555c856 | fd63563f6a175a6aef1f3248aefb3f754f6658e1 | refs/heads/master | 2021-07-31T09:15:14.430835 | 2019-08-16T12:13:45 | 2019-08-16T12:13:45 | 200,347,544 | 0 | 0 | null | 2019-08-05T21:54:10 | 2019-08-03T07:43:34 | Python | UTF-8 | Python | false | false | 365 | py | class Ball:
color=""
speed=0
def setSpeed(self,value):
self.speed=value
ball01=Ball()
ball01.color="Red"
ball01.setSpeed(10)
ball02=Ball()
ball02.color="Blue"
ball02.setSpeed(20)
print("Ball01 color:%s" %ball01.color)
print("Ball01 speed:%s" %ball01.speed)
print("Ball02 color:%s" %ball02.col... | [
"user@email.mail"
] | user@email.mail |
1d3c6228044c40a6619b0f83a3379c3346d6e98c | 4e265daafbfd97c84029dff9f15f52962c26b1fa | /Week_01/week_01.py | 84481dd7bbb74d55ca307ca3cc080f036b16cc60 | [] | no_license | AI-Candy-Yang/algorithm017 | a536e3afb51de2df54795ab3468b5e140ba67f92 | 855eef0aa006c14ade8413cf03615ff99f229923 | refs/heads/master | 2023-01-07T00:05:09.054946 | 2020-10-28T04:13:37 | 2020-10-28T04:13:37 | 296,322,117 | 0 | 0 | null | 2020-09-17T12:38:52 | 2020-09-17T12:38:51 | null | UTF-8 | Python | false | false | 12,155 | py | #-*- encoding:utf-8 -*-
#作业
#1.删除排序数组中的重复项,返回去重后的数组长度
def removeDuplicates(nums):
# 双指针 快指针指向不重复的元素
low = 0
for fast in range(len(nums)):
if (nums[fast] != nums[low]):
low += 1
nums[low] = nums[fast]
return low + 1
#2.旋转数组
def rotate(nums, k):
"""
Do not return ... | [
"yangshuang@sinandata.com"
] | yangshuang@sinandata.com |
fce40fcdd08dbb6ed7e3d1ea9d199b10684218c0 | c36bbbafedbf84ff39111b501a0f555e15ad7246 | /20200509python/20200321python/welcome.py | abdcbbe6c53a77ec1676b46488f7a65f23c6cb3d | [] | no_license | JoltDJ/mysite-3-14-20 | 996e815b6e6702b2a43aacb974139daa4ddec137 | 93c78371ff6a62a5134bf6a21689edec8209b408 | refs/heads/master | 2021-03-20T08:35:44.864754 | 2020-05-16T01:45:41 | 2020-05-16T01:45:41 | 247,193,816 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 348 | py | from jinja2 import Template
def welcomeHTML():
with open('welcome.html') as f:
s = f.read()
return s
def main():
user1 = { 'name': 'Alice', 'likes': 123}
user2 = { 'name': 'Jimmy', 'likes': 1234}
tmpl = Template(welcomeHTML())
print(tmpl.render({ 'user': user1}))
print(tmpl.rende... | [
"438043@ibsh.tw"
] | 438043@ibsh.tw |
b3659978c254246c6d5f9ff0bb961a8029d82c3e | 30e2a85fc560165a16813b0486a862317c7a486a | /tensorflow/test/misc/graph.py | f141c134d6cf1435e3b25c0f9515954553e7ee26 | [] | no_license | muryliang/python_prac | 2f65b6fdb86c3b3a44f0c6452a154cd497eb2d01 | 0301e8f523a2e31e417fd99a968ad8414e9a1e08 | refs/heads/master | 2021-01-21T11:03:48.397178 | 2017-09-18T04:13:27 | 2017-09-18T04:13:27 | 68,801,688 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 438 | py | import tensorflow as tf
g1 = tf.Graph()
with g1.as_default():
v = tf.get_variable(
"v", initializer=tf.zeros_initializer(shape=[1]))
g2 = tf.Graph()
with g2.as_default():
v= tf.get_variable(
"v", initializer=tf.ones_initializer(shape=[1]))
with tf.Session(graph=g1) as sess:
tf.ini... | [
"muryliang@gmail.com"
] | muryliang@gmail.com |
166d918b5aab10d1f189e7aef448ea5254188780 | 82859a8effe9420e53dee38f0c69a31cdae4355e | /prologlib/ui.py | 0be5cc77ef533c15f7682f656c2bece153dbb73f | [
"BSD-3-Clause",
"BSD-2-Clause"
] | permissive | gpiancastelli/prologlib | 1b0bf32383624e88d33ac5b48973231b95c0b267 | a9911ffb4e3ea2b0f958bd7a8b158b9870bd2975 | refs/heads/master | 2021-04-13T14:09:15.099263 | 2010-05-14T15:52:28 | 2010-05-14T15:52:28 | 249,167,512 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,630 | py | import errno
import sys
from .core import Engine, PrologError
from .parser import PrologParser, InvalidTermException
__version__ = 'UNRELEASED'
__date__ = '2010-05-14'
header = """
prologlib {} ({})
Type 'help.' for help, 'halt.' to exit.
""".lstrip().format(__version__, __date__)
HELP_TEXT = """
Wel... | [
"giulio.piancastelli@gmail.com"
] | giulio.piancastelli@gmail.com |
3df9670854119be5855f85168905dd7833a5b034 | e0532dba57ff8455b7a95fb7b64e80a9bfa249a9 | /SplitGuys/wsgi.py | 6c755fbbd79ebbbb9823d6293c2d7a06c9dead50 | [] | no_license | Rozhiin/SplitGuys | a98455a96f6d938d82cfc4a2bb3d4ff031caa632 | f333d8b14a59c41c0706779e27bb16a9f883d57b | refs/heads/master | 2020-05-29T21:10:29.192878 | 2019-07-13T19:17:24 | 2019-07-13T19:17:24 | 189,373,505 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 395 | py | """
WSGI config for SplitGuys project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO_SET... | [
"salarkiama@gmail.com"
] | salarkiama@gmail.com |
bd95c1d7fb41edc644b0ff48474088e1cc624552 | ee622ac8bb8cb695056e53f6bec2a2a7ef001de2 | /detection/configs/anti-uav/faster_rcnn_r50_fpn_2x_anti-uav-full.py | 734e5885ef64d3081104e939af2dfcc527f4029c | [] | no_license | maloo135/UAVDetectionTrackingBenchmark | faee6f0f0e628f921e40d4f2040e2093ae2006f0 | 9ad8bdeaedc5a8c2cc7633bf481c98c903bfacf1 | refs/heads/main | 2023-07-08T10:16:38.806317 | 2021-08-10T11:14:27 | 2021-08-10T11:14:27 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 913 | py | _base_ = [
'../_base_/models/faster_rcnn_r50_fpn.py',
'../_base_/datasets/coco_detection.py',
'../_base_/schedules/schedule_2x.py',
'../_base_/default_runtime.py'
]
model = dict(
roi_head=dict(
bbox_head=dict(
num_classes=1,)))
checkpoint_config = dict(interval=3)
classes = ('d... | [
"brian.k.isaac-medina@durham.ac.uk"
] | brian.k.isaac-medina@durham.ac.uk |
2d28abd02b655286a0b2762b8b7f33ce1e3ce5c8 | acb8e84e3b9c987fcab341f799f41d5a5ec4d587 | /langs/8/u19.py | 44f8d26c2e4a9b7cdc3d42f29e4fe1307c540b0c | [] | no_license | G4te-Keep3r/HowdyHackers | 46bfad63eafe5ac515da363e1c75fa6f4b9bca32 | fb6d391aaecb60ab5c4650d4ae2ddd599fd85db2 | refs/heads/master | 2020-08-01T12:08:10.782018 | 2016-11-13T20:45:50 | 2016-11-13T20:45:50 | 73,624,224 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 486 | py | import sys
def printFunction(lineRemaining):
if lineRemaining[0] == '"' and lineRemaining[-1] == '"':
if len(lineRemaining) > 2:
#data to print
lineRemaining = lineRemaining[1:-1]
print ' '.join(lineRemaining)
else:
print
def main(fileName):
with open(fileName) as f:
for line in f:
... | [
"juliettaylorswift@gmail.com"
] | juliettaylorswift@gmail.com |
445c2230f975dd0e1e6f4f7c980b766500609f3a | 6c37d1d2437a08e43b13d621d4a8da4da7135b3a | /yt_dlp/extractor/mirrativ.py | 0a8ee0c3a52eeff28f2d9e679e0ae5913bc34970 | [
"Unlicense",
"GPL-2.0-or-later",
"MPL-2.0",
"BSD-3-Clause",
"GPL-3.0-or-later",
"LGPL-2.1-only",
"BSD-2-Clause",
"MIT"
] | permissive | yt-dlp/yt-dlp | be040bde10cc40258c879c75ab30215686352824 | d3d81cc98f554d0adb87d24bfd6fabaaa803944d | refs/heads/master | 2023-09-05T21:15:21.050538 | 2023-09-05T20:35:23 | 2023-09-05T20:35:23 | 307,260,205 | 52,742 | 5,376 | Unlicense | 2023-09-14T05:22:08 | 2020-10-26T04:22:55 | Python | UTF-8 | Python | false | false | 4,880 | py | from .common import InfoExtractor
from ..utils import (
ExtractorError,
dict_get,
traverse_obj,
try_get,
)
class MirrativBaseIE(InfoExtractor):
def assert_error(self, response):
error_message = traverse_obj(response, ('status', 'error'))
if error_message:
raise Extracto... | [
"noreply@github.com"
] | noreply@github.com |
fb12706820982b795c59f849b48717b13ef46c7d | 7f2d9dd3a65cd0f040b21ce40894eb2edfb40f11 | /train_hr.py | f5c9b27dddf46580e37113891917ae0cb6922dab | [
"MIT"
] | permissive | jinxu06/pixel-cnn | 3546e5ea071ac764bcc8129fbf68bba296b57364 | 9cad98f3f801bd772815dbb403fb6649ff704dfa | refs/heads/master | 2021-09-06T13:50:08.190072 | 2018-02-07T05:38:26 | 2018-02-07T05:38:26 | 109,583,064 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 13,118 | py | """
Trains a Pixel-CNN++ generative model on CIFAR-10 or Tiny ImageNet data.
Uses multiple GPUs, indicated by the flag --nr-gpu
Example usage:
CUDA_VISIBLE_DEVICES=0,1,2,3 python train_double_cnn.py --nr_gpu 4
"""
import os
import sys
import time
import json
import argparse
import numpy as np
import tensorflow as tf... | [
"s1673820@sms.ed.ac.uk"
] | s1673820@sms.ed.ac.uk |
edb183db7cca17314943fd54d12e17ee078172da | 708ed0381947de546923c98acbc8dd41bf506c7b | /constant.py | 2de6ba3c213c973ec5a15525c17c18932d117895 | [] | no_license | fazli1702/tic-tac-toe | 7072ce973641785f54b88dbd77574cedfa42e004 | c9f7e065df3b69682b0f37f501e40a33fdf544d1 | refs/heads/master | 2023-02-10T15:09:08.970809 | 2020-12-25T04:59:34 | 2020-12-25T04:59:34 | 322,166,535 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 271 | py | import pygame
WIDTH, HEIGHT = 600, 600
SQUARE_SIZE = WIDTH // 3 or HEIGHT // 3
WHITE = (255, 255, 255)
BLACK = (0, 0, 0)
RED = (255, 0, 0)
BLUE = (0, 0, 255)
def get_row_col(x, y):
row = y // SQUARE_SIZE
col = x // SQUARE_SIZE
return row, col | [
"fazliyazid1702@gmail.com"
] | fazliyazid1702@gmail.com |
041c50eb2bba907e2b7b482cee6cae683559bf89 | 50382ea6c3fc3fe0a26a10496c52b248c22b2505 | /notes/Items = Judge Amandeep.py | cad89c22cb4caae67383ccdf12ff53663966e7e4 | [] | no_license | Judge61/CSE | 9288f21a3d6847ab414c0f3c92e225661f118f36 | b70a9cf94e8223609b96c2860fa6ea079404b02a | refs/heads/master | 2020-04-02T06:57:39.156633 | 2019-05-23T16:45:12 | 2019-05-23T16:45:12 | 154,175,599 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,352 | py | class Item(object):
def __init__(self, name):
self.name = name
class Weapon(Item):
def __init__(self, name, damage):
super(Weapon, self).__init__(name)
self.damage = damage
print("Nice attack")
class Armor(Item):
def __init__(self, name, armor_amt):
super(Armor, s... | [
"42385606+Judge61@users.noreply.github.com"
] | 42385606+Judge61@users.noreply.github.com |
7d81bfd1aecb256087020de1e52e5f0ca83e6295 | d52af838e79dbc0a8524ea14d3b84b7eada45df8 | /repcal/__init__.py | c5fa765ce2e8cfa2ce5c2f13928dba92223f3483 | [
"MIT"
] | permissive | dekadans/repcal | 989544f368e043d99287a1a03fea226dbcb886ff | a9022943fc43190f5260f5e09c78cbc4001edc6e | refs/heads/main | 2023-02-03T19:09:40.721567 | 2020-12-23T12:25:43 | 2020-12-23T12:25:43 | 305,468,317 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 133 | py | from .RepublicanDate import RepublicanDate
from .DecimalTime import DecimalTime
from .RepublicanFormatter import RepublicanFormatter
| [
"tomas.thelander0@gmail.com"
] | tomas.thelander0@gmail.com |
c9ba661b2eaf706150acc8d70fa5c78430f74e48 | 622a73eb5e7e3f465b3f0d7774df5e742b1532ce | /intermediate tasks/task3.1/myModels.py | dc9c50a215f88d6dd060c69b8fcb96f2e0f39832 | [] | no_license | nirajmahajan/Diabetic-Retinopathy-Image-Generation | 6a88ae8b170598353b383d9b4ad787481b8d2cb6 | 511bca72217180ada58bfa5fb7ffe8fb17e1a108 | refs/heads/main | 2023-08-28T03:23:04.427883 | 2021-10-28T09:26:32 | 2021-10-28T09:26:32 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,552 | py | import numpy as np
import torch
import torchvision
import matplotlib.pyplot as plt
from torchvision import transforms, models
from torchvision.models import vgg16, vgg16_bn, alexnet
from torch import nn, optim
from torch.nn import functional as F
import pickle
import argparse
import sys
import os
import PIL
device = t... | [
"nirajmahajan007@gmail.com"
] | nirajmahajan007@gmail.com |
462fdb171366888fdd4b6940b64acb815518deda | d4d421ef14e5155a9c8252fb28c432d736d62f74 | /comment_spider/comment_spider/spiders/commentspider.py | bd87f5509af3e7661af55f82cad58599c3b1d1d7 | [
"Apache-2.0"
] | permissive | moxi255/jd-spider | e63a6a37030443ee79f87cb610a3c27f5865e788 | 8f92f7e7a9a27c2f83f6432f17e1f0bb920b4213 | refs/heads/master | 2020-05-23T20:58:22.578965 | 2019-05-16T03:35:20 | 2019-05-16T03:35:20 | 186,941,334 | 13 | 2 | null | null | null | null | UTF-8 | Python | false | false | 3,524 | py | # -*- coding: utf-8 -*-
import scrapy
import json, re
from tools.sql_tools import *
from tools.jieba_content import get_jieba_comment
from ..items import CommentSpiderItem
from ..settings import EXISTS_CONMENTS
class CommentspiderSpider(scrapy.Spider):
name = 'commentspider'
allowed_domains = ['jd.com']
st... | [
"614303219@qq.com"
] | 614303219@qq.com |
951eff5775832bdb7d6d2882d73b8b743dbe75e8 | 60f93042cd806b56362232105dad1a5ba8e10d51 | /energy_budget/dependencies/useful_functions.py | a2357ccf5d32d2752b3b38e08eca0312ce22ec18 | [] | no_license | robertladwig/LakeGeneva | 264d5dac287891ccc1f264056e6b5ff4b1b34f14 | 25370cf570ad8d112ea6a7f3990eeb5fbd4e2e1a | refs/heads/main | 2023-07-13T03:45:56.772603 | 2021-08-28T19:46:26 | 2021-08-28T19:46:26 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,973 | py | ## USEFUL FUNCTIONS
#B. Fernandez Castro 2020.03.03
import numpy as np
import sys
import matplotlib.pyplot as plt
def moving_average(x,n, window = "flat"):
if n%2 == 0:
n+=1
N = x.size
cx = np.full(x.size, np.nan)
for i in range(N):
ii = np.arange(i-n//2, i+n//2+1,1)
if window ... | [
"noreply@github.com"
] | noreply@github.com |
af93385675fcf4822c571cccec3632e16d5f819f | af275f01dfdf5636e61ecb8977b207109031f79a | /deneme/models.py | 0dd77a30e2db97a36f48461963433abb8b7a0164 | [] | no_license | malialtinel/Newspaper | 871e0990bc4d34b3998587d5f2c1fb4c4b9990e5 | b594c1a9afc145e1535f60e76357f059b7d9a4a2 | refs/heads/master | 2020-03-22T14:11:50.539698 | 2018-07-08T11:24:40 | 2018-07-08T11:24:40 | 140,160,237 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,382 | py | from django.db import models
from django.contrib.auth.models import User
from ckeditor.fields import RichTextField
class Halk_User(models.Model):
vatandas=models.OneToOneField(
User,
on_delete=models.CASCADE,
primary_key=True,
)
def __str__(self):
return self.vatandas.last_... | [
"malialtinel@gmail.com"
] | malialtinel@gmail.com |
deeae75fb55700a9bf1ce2d3c2f15007fbc511d0 | c9af78f03563391def0e1cb808afda4d88a21066 | /ex7.py | 8ae5bbca0fd2aeffb24f76cb66d2f833a6d6269d | [] | no_license | Psyconne/python-examples | b873b30db237524d8bff9123e334db096d0239c5 | 35a4bb668c49aa51d9645d68a7bdf39daa0b58a4 | refs/heads/master | 2021-01-02T09:14:23.549963 | 2015-07-20T15:00:39 | 2015-07-20T15:00:39 | 39,284,103 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 292 | py | print "I had a little lamb"
print "its fleece was white as %s." % 'snow'
print "." * 10 #printing it 10 times
l1 = 'M'
l2 = 'a'
l3 = 'r'
l4 = 'o'
l5 = 'u'
l6 = 'a'
l7 = 'n'
end = 'E'
print l1 + l2 + l3 + l4 + l5 + l6 + l7 + end
print l1 + l2 + l3 + l4, #a space
print l5 + l6 + l7,
print end
| [
"iimen.elidrissi@gmail.com"
] | iimen.elidrissi@gmail.com |
38910cfa0d829421a6d14748e1081970a606abe0 | 2734b77a68f6d7e22e8b823418ad1c59fe1a34af | /opengever/dossier/upgrades/20170307184059_reindex_searchable_text_for_dossier_templates/upgrade.py | 436c02f98340c2800590927a5f6bf366f0ad4ab2 | [] | no_license | 4teamwork/opengever.core | 5963660f5f131bc12fd0a5898f1d7c8f24a5e2b1 | a01bec6c00d203c21a1b0449f8d489d0033c02b7 | refs/heads/master | 2023-08-30T23:11:27.914905 | 2023-08-25T14:27:15 | 2023-08-25T14:27:15 | 9,788,097 | 19 | 8 | null | 2023-09-14T13:28:56 | 2013-05-01T08:28:16 | Python | UTF-8 | Python | false | false | 365 | py | from ftw.upgrade import UpgradeStep
class ReindexSearchableTextForDossierTemplates(UpgradeStep):
"""Reindex SearchableText for dossier templates.
"""
def __call__(self):
self.install_upgrade_profile()
self.catalog_reindex_objects(
{'portal_type': 'opengever.dossier.dossiertemp... | [
"david.erni@4teamwork.ch"
] | david.erni@4teamwork.ch |
0c9d8876bb93f2c786e18e37dc1213e7ef6c6c2d | 8e8260d109d6b3680e3ce966e9baaa540393db8b | /xadmintest/settings.py | ff250650fd023fd3bc87381d949c7e0e1b6833b0 | [] | no_license | loveguan/xadmintest | 4472c13bd68f4b4ae47479449f4319e6f50df4fc | f20093afe25216154861fd8f6f061bcfee7269f2 | refs/heads/master | 2020-09-04T23:24:06.094513 | 2019-11-06T05:57:04 | 2019-11-06T05:57:04 | 219,922,499 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,286 | py | """
Django settings for xadmintest project.
Generated by 'django-admin startproject' using Django 2.0.7.
For more information on this file, see
https://docs.djangoproject.com/en/2.0/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.0/ref/settings/
"""
import os... | [
"zhouguanjie@qq.com"
] | zhouguanjie@qq.com |
6fbbd263a969c5cf0e893a592532066c44019962 | 9d425b64bd8d66993fc2253613095d82ff667a6f | /day_7/parse_input.py | 44682ccb370fad08ced644dbbfc4c61dd285d510 | [] | no_license | evanptang/advent-of-code-2020 | bcf4766ff2c9bd7a9d09ed4b4ad1faf47c4920ff | e4a6871e8495142e7e4644d06e133fa421eb440c | refs/heads/master | 2023-02-02T09:50:10.432697 | 2020-12-13T20:04:16 | 2020-12-13T20:04:16 | 319,874,774 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 746 | py | import json
file_name = 'sample.txt'
# file_name = 'input.txt'
final_object = dict()
with open(f'parsed_{file_name}', 'w+') as f:
with open(file_name) as g:
for line in g:
line = line.replace('\n', '')
line = line.replace('bags', 'bag')
line = line.replace('.', '')
... | [
"evantang2019@u.northwestern.edu"
] | evantang2019@u.northwestern.edu |
49f3e7d823cd9ee17a9c42cca9f6a42c42a6c33e | 6fa7f99d3d3d9b177ef01ebf9a9da4982813b7d4 | /ENJTPoWCyEGgnXYjM_18.py | 35efe9177850a3a6a90e03c5f007d2d7ec0fb8cc | [] | no_license | daniel-reich/ubiquitous-fiesta | 26e80f0082f8589e51d359ce7953117a3da7d38c | 9af2700dbe59284f5697e612491499841a6c126f | refs/heads/master | 2023-04-05T06:40:37.328213 | 2021-04-06T20:17:44 | 2021-04-06T20:17:44 | 355,318,759 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 125 | py |
def percent_filled(box):
return str(round((''.join(box).count('o') / ((len(box[0]) - 2) * (len(box) - 2))) * 100)) + '%'
| [
"daniel.reich@danielreichs-MacBook-Pro.local"
] | daniel.reich@danielreichs-MacBook-Pro.local |
d25e02789b4302272e941ce1371e76e9d26a1faf | 898fc24e399b203bf8072cec03b9bfd22d3160e6 | /Neural Networks/Assignment1/venv/Scripts/pip-script.py | d2c4c69759d833d8db79036eb12596186b31282b | [] | no_license | ismael-martinez/AQM | 94505fe8acf44e459b731e6563e304789ec9db47 | a9c08ca6f9be2b07e7892773c0bad165f695899a | refs/heads/master | 2022-12-23T12:19:40.591906 | 2018-02-02T08:08:04 | 2018-02-02T08:08:04 | 119,900,486 | 0 | 1 | null | 2022-12-09T23:40:38 | 2018-02-01T22:18:18 | Python | UTF-8 | Python | false | false | 436 | py | #!"C:\Users\Ismael Martinez\Desktop\AQM\Neural Networks\Assignment1\venv\Scripts\python.exe"
# EASY-INSTALL-ENTRY-SCRIPT: 'pip==9.0.1','console_scripts','pip'
__requires__ = 'pip==9.0.1'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?... | [
"ismael.martinez@hotmail.ca"
] | ismael.martinez@hotmail.ca |
19cf498c8d5f4bfad7938928cf5d71d9ab7e19e4 | d8c589e279b59a0ad6ac79ef42e073e0e86340e5 | /caluma/core/tests/test_pagination.py | 82a9cfc701678272b3d073c0e262679a53303ee8 | [
"AGPL-3.0-only",
"MIT"
] | permissive | Yelinz/caluma | e9d8b03a91f4923da99b4d820e66349a3de946e2 | b5d4f1ed3fa3e144d8516e7823dd57c3b68617be | refs/heads/master | 2023-08-16T14:00:11.207559 | 2019-10-18T12:40:03 | 2019-10-18T12:40:03 | 181,823,650 | 0 | 0 | MIT | 2019-04-17T05:34:28 | 2019-04-17T05:34:27 | null | UTF-8 | Python | false | false | 1,309 | py | import pytest
@pytest.mark.parametrize(
"first,last,before,after,has_next,has_previous",
[
(1, None, None, None, True, False),
(None, 1, None, None, False, True),
(None, None, None, None, False, False),
(None, None, None, "YXJyYXljb25uZWN0aW9uOjI=", False, True),
(None,... | [
"fabio.raemi@adfinis-sygroup.ch"
] | fabio.raemi@adfinis-sygroup.ch |
7d50401e7f1cf6286d23132c3ea577467c6a556e | 84caee3f7b0e9811f91da65f59c93b08f76453f3 | /later/task.py | a201c2d1487a33d00572d896156b06435581c5c9 | [
"Apache-2.0"
] | permissive | thatch/later | 541492ca2ebd77d4b5859c00ff46247847a1d1a5 | 29c614c8a14eb290555bd1708fafea6542365e60 | refs/heads/master | 2021-01-09T16:10:39.247170 | 2020-02-19T01:33:45 | 2020-02-19T01:36:01 | 242,367,315 | 0 | 0 | null | 2020-02-22T15:46:40 | 2020-02-22T15:46:39 | null | UTF-8 | Python | false | false | 11,199 | py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ap... | [
"facebook-github-bot@users.noreply.github.com"
] | facebook-github-bot@users.noreply.github.com |
9e44aadf38af013a19b2183bcb83b8f98eec8804 | 83d7c9edec86a024165889a725ce21486c7af707 | /pichr/fixtures/parse_pichr_json.py | f53a730d9eda7b51ce9dc70de06d150d5b6fe23a | [] | no_license | emilymye/pichr | 3a5cb3a2c8f54bf07c832c45fe4225882dac87b5 | 7441b54a2450358fb3b6a85f4be67e2bf695e9b8 | refs/heads/master | 2021-01-13T01:54:12.737860 | 2015-03-12T22:18:46 | 2015-03-12T22:18:46 | 31,866,993 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,609 | py | import json
import csv
if __name__ == "__main__":
with open("data.csv") as data_f:
reader = csv.DictReader(data_f)
print reader.fieldnames
players = {}
recoveries = []
for row in reader:
player = {
"name": row['Name'].strip(),
"pid": int(row['PlayerId']),
"tea... | [
"emily3ye@gmail.com"
] | emily3ye@gmail.com |
a08c27bb4b36f95989b207b71198e8f3254b8485 | 827cc3633a99f90eed504da343ecc86684556c24 | /24.py | fc9b8c38d637f320fcafc3b4a42faa0f723416f0 | [] | no_license | fs-source/fs-source | 7f6e5c0504decc8111c50d0e3bba2e48e0f27658 | 5a39697e5b7fe1e895e92f0fedab4889dc8812ad | refs/heads/main | 2023-07-14T23:13:54.307676 | 2021-08-26T20:37:22 | 2021-08-26T20:37:22 | 328,153,163 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 18 | py | print(292 + 774)
| [
"tlxt5650508@163.com"
] | tlxt5650508@163.com |
218c12ac6119307e120b6b12b5bfe4a790c1aa59 | 33fab1fae9b4a099e705dcc10443b7721da8f430 | /1.py | 4963f2a6e3bdf4eb5409bc2735c4474c71f9afa8 | [] | no_license | cm12348/tryGithub | 4d797e40ae28b87a20aaad543997e2531d279ba5 | 5300bdd4a008d597595aea08a831361f85fc95e9 | refs/heads/master | 2020-04-16T06:24:27.109767 | 2019-01-12T04:36:38 | 2019-01-12T04:36:38 | 165,345,404 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 48 | py | """
I did some changes.
"""
print("Helloworld")
| [
"noreply@github.com"
] | noreply@github.com |
c8bca5286d0a9ad049f59155f5a9114d8f06dd8c | b92eee41d665314bc42043d1ff46c608af5ffdfd | /sesion_3/prog.4.py | eda17bf266e753571861d3d45fc42db362032da6 | [] | no_license | badillosoft/python-economics | 40efe8326558a8fb93f84fdbd2137428844ee5f3 | 82af43c7a47297ce186dc0e23e30620d46e6693a | refs/heads/master | 2021-01-11T18:55:15.762752 | 2017-05-09T01:15:59 | 2017-05-09T01:15:59 | 79,656,798 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 278 | py | from openpyxl import load_workbook
from geg import *
wb = load_workbook("puntos.xlsx")
ws = wb.active
puntos = automatic_load_data(ws, "A2")
def f(x, y):
return x**2 + y**2
for p in puntos:
x = p["X"]
y = p["Y"]
z = f(x, y)
print "%f, %f, %f" %(x, y, z) | [
"kmmx@hsoft.local"
] | kmmx@hsoft.local |
533e43f778d33b82ee7fcc0f71873a2f54f2a562 | 1abb00f7a02635918eba197cb31a16f9cff8550f | /Zadanie5.py | 7e8db8044cd0327daedda99eae58f101384011f7 | [] | no_license | Exoticisignis/Sem5SL | 5535513408905778d9cfb3920c44663cd0d60fb8 | a823f1956c07aeceede75571fb83bc5738796461 | refs/heads/master | 2023-03-28T12:17:32.243911 | 2021-04-05T18:20:41 | 2021-04-05T18:20:41 | 354,929,965 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 666 | py | list = [7, 'x', 'y', 6, "uaua", 9, 10, 99]
def process(list):
new_list = [i for i in list if isinstance(i, int)]
summ = sum(new_list)
length = len(new_list)
average = float(summ / length)
minn = min(new_list)
maxx = max(new_list)
variance = calc_variance(new_list, length, average)
resul... | [
"debysh99@gmail.com"
] | debysh99@gmail.com |
4403759cc3a6535b10eb3e09928d293cb9555aad | bb151500b0fc5bb9ef1b1a9e5bba98e485b4b34d | /problemSet/591C_Median_Smoothing.py | 9436f6108c5e3ab88ea40e68a7cd92378f7749a0 | [] | no_license | yamaton/codeforces | 47b98b23da0a3a8237d9021b0122eaa498d98628 | e0675fd010df852c94eadffdf8b801eeea7ad81b | refs/heads/master | 2021-01-10T01:22:02.338425 | 2018-11-28T02:45:04 | 2018-11-28T03:21:45 | 45,873,825 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,697 | py | """
Codeforces Round #327 (Div. 2)
Problem 591 C. Median Smoothing
@author yamaton
@date 2015-11-06
"""
def reduce_consec(iterable):
"""
[1, 2, 3, 6, 7, 9, 10, 11, 12, 13, 20]
--> [(1, 3), (6, 2), (9, 5), (20, 1)]
Detect consecutive part and (starting_value, length) pair
:param xs: List of int
... | [
"yamaton@gmail.com"
] | yamaton@gmail.com |
cba35a947a9ee82ae669d9f1be77bc9ee3889334 | 3d5a99baa64e8c1bb0946f2b3e2ea29bf1d12b98 | /ch02/r28.py | 5a8a9bf99f9bb9cb1f5f7a49e0f0da4b65a56418 | [] | no_license | lakchaud89/python_data_structures | a9809d3a6b7d1db48d24e53ed376224673565ce2 | 97198952d4d275775da21224a3754b7a6b37fc03 | refs/heads/master | 2021-01-21T06:48:58.710228 | 2017-09-08T21:33:54 | 2017-09-08T21:33:54 | 101,947,272 | 0 | 0 | null | 2017-09-02T03:19:33 | 2017-08-31T01:53:16 | null | UTF-8 | Python | false | false | 2,262 | py | # Modify the declaration of the first for loop in the CreditCard tests, from Code Fragment 2.3,
# so that it will eventually cause exactly one of the three credit cards to go over its credit limit.
# Which credit card is it?
class CreditCard:
def __init__(self,customer,bank,account,limit,balance = None):
s... | [
"lakshmichaudhari@lakshmis-mbp.gateway.pace.com"
] | lakshmichaudhari@lakshmis-mbp.gateway.pace.com |
a5255900b8026034fbd41ea3c3b5ab5f8ea68614 | 1c61d9e996f24e87ae686c2b6a2f01ef052425d1 | /accountapp/views.py | b383b2612cc5d41cb64536203155784c87823fbb | [] | no_license | joft-ware/django_web | ba3be679299fdacba7fc1c49cb5317209e895a59 | 06f750fd4a2bdced2b0d67a198ebafd5d3407637 | refs/heads/master | 2023-02-26T19:52:49.247705 | 2021-02-02T14:12:53 | 2021-02-02T14:12:53 | 325,967,749 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,896 | py | from django.contrib.auth.decorators import login_required
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.models import User
from django.http import HttpResponse, HttpResponseRedirect
from django.shortcuts import render
# Create your views here.
from django.urls import reverse, reverse_l... | [
"34998542+sky033116@users.noreply.github.com"
] | 34998542+sky033116@users.noreply.github.com |
c122747c667ba2b5cd4b66de7acfc231a1576ac7 | 9634a7dd26605fbf6260f2338bfb1f061111c8e6 | /wishes/urls.py | d4ac2c932e9d1ccfb6786700bf76f6175716a944 | [] | no_license | pkc035/21-1st-MealKatMarket-backend | 985b18e28e55758e08455c597fcfc48822c92c65 | 1d43eea1cf8f30bcd893fb74b30e2645dd0f5561 | refs/heads/main | 2023-06-03T06:49:52.052308 | 2021-06-20T11:22:01 | 2021-06-20T11:22:01 | 378,775,535 | 1 | 0 | null | 2021-06-21T01:35:25 | 2021-06-21T01:35:25 | null | UTF-8 | Python | false | false | 155 | py | from django.urls import path
from .views import WishView
urlpatterns = [
path('',WishView.as_view()),
path('/<int:food_id>', WishView.as_view())
]
| [
"pkc0305@gmail.com"
] | pkc0305@gmail.com |
d40f02e6db1890c62e20ceca6eb08cad3e7ac968 | 674a882b1f958766e3ac2db0fc445a7a7fd7ee16 | /weather/views.py | 324005a5103ce55e011138cfe0ddb753ad0b2766 | [] | no_license | harinder8407/weather-app | 2463bd9155e887d51bca83223de5828a570ab694 | e30adedfb351d5e2da5d1be42686323293d86ae9 | refs/heads/master | 2023-03-09T00:25:10.219507 | 2021-03-01T09:14:33 | 2021-03-01T09:14:33 | 343,339,049 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,919 | py |
import requests
from django.shortcuts import render, redirect
from .models import City
from .forms import CityForm
def index(request):
url = 'http://api.openweathermap.org/data/2.5/weather?q={}&units=imperial&appid=14c01bd544e820b6681e78683c1103a7'
err_msg = ''
message = ''
message_cla... | [
"harinderss2899@gmail.com"
] | harinderss2899@gmail.com |
a5961849eacd9651fe5f3146a8524c53eda4f663 | 4db107059e4f77740bea34705fc459bb6a2fe981 | /MicroAOD/python/flashggTriLeptons_cfi.py | 2a7348b193e44455a9fd1bb1c4dd5f03b8c01bfe | [] | no_license | GiuliaNegro/dafne | 6e4188e233113387b67096bf5b0eed362771f1e3 | 628076faec651c6ebaedd068b1b1626c8b3d9a1d | refs/heads/master | 2020-09-26T23:59:11.712519 | 2019-01-31T19:50:45 | 2019-01-31T19:50:45 | 67,401,535 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 595 | py | import FWCore.ParameterSet.Config as cms
flashggTriLeptons = cms.EDProducer('FlashggTriLeptonsProducer',
ElectronTag=cms.InputTag('flashggElectrons'), #'slimmedElectrons'),
MuonTag=cms.InputTag('flashggMuons'), #'slimmedMuons'),
VertexTag=cms.InputTag('offlineSlimmedPrimaryVe... | [
"giulia.negro@cern.ch"
] | giulia.negro@cern.ch |
2a5cef818c311103bcb5f7606a771da35e81fd54 | 2c9750d1f89b0c3d2936f826e7af750d850e9cce | /RHMDashboard/wsgi.py | 1ba08fb3f4211fbb2e844033d12d8210abd9cf63 | [] | no_license | AGhosh-SPC/RegulatorHealthMonitor | 738a97ed9f243489e833bc3390c792ff4137b86f | fa3404126112d9b013a1bba3bd54132bee8d188b | refs/heads/main | 2023-04-06T23:29:53.735996 | 2021-04-14T20:07:34 | 2021-04-14T20:07:34 | 358,028,166 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,111 | py | """
WSGI config for RHMDashboard project.
This module contains the WSGI application used by Django's development server
and any production WSGI deployments. It should expose a module-level variable
named ``application``. Django's ``runserver`` and ``runfcgi`` commands discover
this application via the ``WSGI_APPLICATI... | [
"Ghosh.Aindrila@spartancontrols.com"
] | Ghosh.Aindrila@spartancontrols.com |
2ac3a4e371b349d7e8e7c8a07168edbe9ea3a41a | 04d3f37b043364cd0233348863036436dfabedd6 | /manage.py | 7a4745372d94347843ee1bf9eb1a5ae4839100bb | [] | no_license | anonim0zero/NASA-challenges-covid-19 | b281d0f8faad453bd5c1ddd81510f94b8acc6625 | 1eed3aa9b8ae871539605084a22da3c037ea8843 | refs/heads/main | 2023-08-16T20:46:44.454581 | 2021-10-03T16:50:45 | 2021-10-03T16:50:45 | 413,138,339 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 660 | py | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
"""Run administrative tasks."""
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'NASA.settings')
try:
from django.core.management import execute_from_command_line
except ImportE... | [
"igorteplov2001@gmail.com"
] | igorteplov2001@gmail.com |
53c51e60a3111190c14795ad4a983b2bcccfe5af | b397e24cdb458fa7cb9ba1838e8236b425eed66e | /Locators.py | 9c4a3dba58c4c8b2e1710c1ad47a318c638d4b96 | [] | no_license | Mrkabu/PageObjectPatern | 29b177a2598f85c87aa9947cdce61883857b043b | 7e4a208adecd36cbb449c68f1e3c7baf6b34e9c9 | refs/heads/master | 2020-03-16T03:58:19.924212 | 2018-05-17T20:33:47 | 2018-05-17T20:33:47 | 132,499,689 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 706 | py | class Locators(object):
logo = '//*[@id="top"]/div/div/div/div/nav/ul/li[2]/a'
terazwtv = '//*[@id="top"]/div/div/div/div/div/nav/a[1]'
login = '//*[@id="Email"]'
password = '//*[@id="Password"]'
buttonzaloguj = '//*[@id="login-form"]/fieldset/div/div[1]/div[3]/button'
logowyszukiwarka = '//*[@... | [
"sagan07@gmail.com"
] | sagan07@gmail.com |
0a2a4d1068f3c40fd8c94b02d7e99a8d7d07b26f | 47718952e24df62386dc5e858a889ba37323c6c0 | /anal-lexico.py | ea41df822875166bb2859730fe681f8daf898fb7 | [] | no_license | rv0lt/PDL | 4ae5f9acdf5b30885c81670d9ac8fef043c26b37 | 4a016bc8becbb8d742dd7b9ce56418e449c46b5d | refs/heads/master | 2022-04-28T01:16:12.451534 | 2020-03-18T17:02:34 | 2020-03-18T17:02:34 | 211,706,759 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 14,778 | py | import ply.lex as lex
from ply.lex import TOKEN
import sys
import re
from TablaSimbolos import TablaSimbolos
from TablaSimbolos import Fun
from gramatica import parser
import gramatica
lexema=""
tipo=None
comentario=False
tabla_simbolos = TablaSimbolos()
estoy_en_fun=False #sirve para indicar si voy a leer una funcion
... | [
"arevuelta@Rv0lt"
] | arevuelta@Rv0lt |
13c9307b9b5ccdc95f35925e7cd437499b488c9b | 5cd67aa3b3c43937e623bd7f4deede198956061d | /migrations/versions/f1318346a431_.py | a723d1b76520dd99b9160eaeb5d082d57fec78aa | [] | no_license | GDG-SSU/gdg-homepage-project | 596d6379c8f93d2bbdc70c67703c80a42b07ec16 | 883bfdb9fa0e6f07d84a3b671daefbd8c69647c5 | refs/heads/backup | 2023-01-10T07:36:41.575334 | 2016-03-17T04:33:04 | 2016-03-17T04:33:04 | 49,634,424 | 6 | 2 | null | 2022-12-26T20:00:24 | 2016-01-14T08:45:02 | JavaScript | UTF-8 | Python | false | false | 954 | py | """empty message
Revision ID: f1318346a431
Revises: None
Create Date: 2016-01-30 16:42:51.170407
"""
# revision identifiers, used by Alembic.
revision = 'f1318346a431'
down_revision = None
from alembic import op
import sqlalchemy as sa
def upgrade():
### commands auto generated by Alembic - please adjust! ###... | [
"Genus@Genusui-MacBook-Pro.local"
] | Genus@Genusui-MacBook-Pro.local |
ee3e2068130cbb427286d11a91b9b4c4a9af71c5 | db6c003ab9d407979386fa8fd48eb88b791ace7a | /aws_scripts/zero_all_asgs.py | 4f9224b49fe2e6e98d512679ea18ba17a46b6a52 | [] | no_license | aria-jpl/ops_scripts2 | 319e3450358748531dce5d2e3e8fbe0ac8ef0ade | 332b1ecd2de3978724800136162aead998391ee6 | refs/heads/master | 2021-08-08T08:13:43.492801 | 2021-07-14T18:24:00 | 2021-07-14T18:24:00 | 188,817,794 | 0 | 0 | null | 2021-07-14T18:24:00 | 2019-05-27T09:56:04 | Python | UTF-8 | Python | false | false | 6,178 | py | '''
This script will set the max size, min size, and desired capacity values for all
auto-scaling groups to zero then wait until all instances have been terminated
after which these initial values will be restored. A list of asg's with active
instances is printed to the console until no active instances are detect... | [
"marjorie.j.lucas@jpl.nasa.gov"
] | marjorie.j.lucas@jpl.nasa.gov |
d3d86e14f08837fc614c41663d93f3d0699382aa | 79c89b881f488310bff3354dc71171371cf33987 | /fast_text_embeddings.py | 46cd6246a771888cc32d0927a9941020a944634e | [] | no_license | sreeja-g/NER-code-mix | 4f32aa3de1cb2aff4ce98b97557fe9974357e3e1 | f84d1b43c1ffdd01b6db61dd379d670f396eb06c | refs/heads/master | 2022-11-29T07:16:41.941878 | 2020-07-30T22:58:38 | 2020-07-30T22:58:38 | 281,765,112 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 709 | py | import pandas as pd
import csv
import nltk
nltk.download('stopwords')
from nltk.corpus import stopwords
stop_words = set(stopwords.words('english'))
from gensim.models import FastText
data = pd.read_csv("processed_data/annotatedVec.tsv",sep='\t', quoting=csv.QUOTE_NONE, header=None)
data.columns=['Sent', 'words', ... | [
"37956427+sreeja-g@users.noreply.github.com"
] | 37956427+sreeja-g@users.noreply.github.com |
930560ddc5302324fc791a268bd09fb10d2e8b48 | 42a91364a9d25096f7b23791f666f25e02520ddf | /FETCH_CODE/quilt_flatten/distance.py | 47ef94afaf28004972fe594793db81d8bec1ec9e | [] | no_license | Jie-Tree/FETCH_CODE | 0d9d2ab04a085beefa3baf6cf15c2c671aa65944 | 37b0286843619fd231ff7b8277e6a0a8dff40ac7 | refs/heads/master | 2020-04-11T13:10:07.739588 | 2018-12-14T16:12:41 | 2018-12-14T16:12:41 | 161,806,079 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 4,933 | py | from fetch_core import robot_interface, camera
import time
import cv2
import numpy as np
import requests
import rospy
import socket
from moveit_python import MoveGroupInterface, PlanningSceneInterface
import os
from matplotlib import pyplot as plt
from cal_position import CalPosition
from manage_fetch_robot ... | [
"904615562@qq.com"
] | 904615562@qq.com |
85d502c61f2fa92729891532280aef50f4e2f0f3 | 4c5c0a3883a9416568930f7e434e1b4cfb333831 | /form_test.py | 2e436dd367465b7cf1987029b3698ce8036b0b2a | [] | no_license | SugimuraMichael/pfscm_change_tracker | 8bc9dec4ad180da55f0f765babd431152cbcd9e5 | 467d3500c7e16ea5d29160c2f843fc54e8cbf146 | refs/heads/master | 2021-01-01T16:32:22.036952 | 2017-07-20T15:57:00 | 2017-07-20T15:57:00 | 97,853,919 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,404 | py | '''
current version of this code takes a google sheet, copy of original which is static... next thing would be to
implement a copy in google drive... I can go do that now...
total time is --- 149.125 seconds ---
'''
import gspread
import pandas as pd
from oauth2client.service_account import ServiceAccountCredentials
... | [
"sugimura_michael@bah.com"
] | sugimura_michael@bah.com |
713e56b0dfc1b28ab55d67e75f8720cff692e593 | ac5e52a3fc52dde58d208746cddabef2e378119e | /exps-mrsp.0/mrsp_ut=3.5_rd=0.5_rw=0.06_rn=4_u=0.075-0.325_p=harmonic-2/sched=RUN_trial=49/params.py | fcbfbdfe45d4c06dbfe8c250d00b2d4aa9ae3364 | [] | no_license | ricardobtxr/experiment-scripts | 1e2abfcd94fb0ef5a56c5d7dffddfe814752eef1 | 7bcebff7ac2f2822423f211f1162cd017a18babb | refs/heads/master | 2023-04-09T02:37:41.466794 | 2021-04-25T03:27:16 | 2021-04-25T03:27:16 | 358,926,457 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 250 | py | {'cpus': 4,
'duration': 30,
'final_util': '3.557024',
'max_util': '3.5',
'periods': 'harmonic-2',
'release_master': False,
'res_distr': '0.5',
'res_nmb': '4',
'res_weight': '0.06',
'scheduler': 'RUN',
'trial': 49,
'utils': 'uni-medium-3'}
| [
"ricardo.btxr@gmail.com"
] | ricardo.btxr@gmail.com |
2c15394b0845b5b8e849bf6d0b52a048d9f8be8d | 016cab497a506bb50ac5b89e3e4622c244fe1339 | /src/TrainModel/study1_rawdata_plot.py | ac605a5599dd121b62cc445cc9f248d7e0aa7597 | [] | no_license | SYilei/LimiTouch | 917595cb87cf012542c3da3375342fa492d5a892 | f757a7838572617239a4039a0daa31a826238830 | refs/heads/master | 2023-07-20T22:57:59.315684 | 2019-09-19T22:35:29 | 2019-09-19T22:35:29 | 195,982,686 | 0 | 0 | null | 2023-07-06T21:41:32 | 2019-07-09T10:00:32 | Python | UTF-8 | Python | false | false | 1,916 | py | import torch
import numpy as np
import os
import sys
import pandas as pd
import random
from study1_modelclass import LeNet
import matplotlib.pyplot as plt
import plotly.graph_objects as go
touch_data = pd.read_csv('../../data/Data_Study1/chamod_touch_free_circle.csv')[['ax','ay','az','gx','gy','gz']].values
nontouch_d... | [
"1000839@wifi-staff-172-24-20-243.net.auckland.ac.nz"
] | 1000839@wifi-staff-172-24-20-243.net.auckland.ac.nz |
c28398d854bb76f93aa2b6c24c128a40872bddbc | cc2a0a075a2f069e5b65bb749c7af0ac488ce1af | /manage.py | 0e98d8243e2c62f9a996d0df5086d14f2899816c | [] | no_license | PaoAguilar/sistema-de-compras | ff88a39beceb42088a1b7b4662b2e2eff819c369 | ae66deb9ca92fe7c168901ac526cb18b34ad2b8c | refs/heads/main | 2023-02-10T07:56:34.657052 | 2020-11-29T23:48:48 | 2020-11-29T23:48:48 | 316,593,342 | 0 | 1 | null | 2020-11-30T06:06:30 | 2020-11-27T20:24:07 | JavaScript | UTF-8 | Python | false | false | 634 | py | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'sistemaCompras.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise... | [
"pao.aquev29@gmail.com"
] | pao.aquev29@gmail.com |
8b37a3439da396e141ef81dfd7a5c6ecb6a958c9 | 2763387c80e808e63bd9aa190e64a2582454f4f9 | /aoc18/day05/day05.py | 655f65e24f0534d2b87cf80ec34035f34501882c | [
"MIT"
] | permissive | dds/advent18 | ca68bb26a3d8d890eeb0cdc49b15f6de7e6a7d7f | 51c6f32cd90f50657d33527e1c9b3a0768f28538 | refs/heads/master | 2020-04-09T06:19:04.378438 | 2019-03-22T15:17:50 | 2019-03-22T15:17:50 | 160,107,033 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,614 | py | import util
from string import lowercase
test_input = """
aA
abBA
aBAB
aabAAB
dabAcCaCBAcCcaDA
"""
def reaction(left, right):
if left != right and (ord(left) % 32) == (ord(right) % 32):
return True
return False
def reactPolymer(polymer):
index = 1
while True:
if len(polymer) == 0 or in... | [
"davidsmith@acm.org"
] | davidsmith@acm.org |
541a41450f5c3cc864969e5d8d374347713e4ae8 | 92150eee1ef8c331b3a417cc9d5917cbf8274d37 | /src/01_06_image_kernel.py | 05ebe6a4136adf939742b67abc7f61baa872972c | [] | no_license | deepdeepdot/nano-deep-learning | 87606acd7a0a9c0b1d4108f7dd5749e106eed652 | 20da799fac155e7e59e4fa56d3e949a81b895a89 | refs/heads/master | 2020-04-26T06:36:44.944351 | 2019-04-21T18:32:13 | 2019-04-21T18:32:13 | 173,370,424 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 572 | py | import matplotlib.pyplot as plt
import numpy as np
img = plt.imread("panda-corner.jpg")
nrows, ncols = img.shape[0], img.shape[1]
nchannels = img.shape[2]
emboss = [
[-2, -1, 0],
[-1, 1, 1],
[0, 1, 2]
]
buffer = np.zeros((nrows, ncols, 3))
for i in range(1, nrows-1):
for j in range(1, ncols-1):
... | [
"ph@educreational.com"
] | ph@educreational.com |
9a4567c7387b96986d9b3a7c804bb75fdfa5cae6 | e29d2cd7dd16f961a964dbf90a7b3e011ecf7c4c | /LambdaAWSFunction/message.py | bcc9a6323e1350a0f2352d92bd579524d14d686c | [] | no_license | shrirangbagdi/LogParser | 8c0af19a7f01ec2682eed0818bbb3eb7201ddf7f | a5a2dabbfab828e103f5062bb65d2988a72323e4 | refs/heads/master | 2022-12-01T06:28:05.091601 | 2020-08-16T22:17:05 | 2020-08-16T22:17:05 | 274,524,768 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,754 | py | import boto3
from PatternFour import PatternFour
from PatternOne import PatternOne
from PatternThree import PatternThree
class message:
def __init__(self, caseID, event):
self.caseID = caseID
self.event = event
def generate_messages(self):
s3 = boto3.client('s3')
list_of_mes... | [
"sbagdi2@illinois.edu"
] | sbagdi2@illinois.edu |
9ac194b9a29467ac4a1e58124ee6a21762943045 | e2b0f6994076bf5183108bc8ee016ea09648cc5e | /apps/organization/migrations/0003_auto_20171119_2204.py | e78d20a4db95a404a9b0a0fcf71932ddb795d212 | [] | no_license | tongguoweizpp/MxOnline | aaa8bf7e12be133e94cd6a10f76bdfab049c023b | 8ad57dd0eba5c297de8da09d3908cd238d0c23b7 | refs/heads/master | 2021-09-04T09:09:34.663455 | 2018-01-17T15:13:49 | 2018-01-17T15:13:49 | 117,853,001 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 668 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.9 on 2017-11-19 22:04
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('organization', '0002_auto_20171119_1113'),
]
operations = [
migrations.AddFiel... | [
"tongguoweizpp@gmail.com"
] | tongguoweizpp@gmail.com |
d0b17bbfb828844b9aade0e41ba7dacd041135e1 | b83bebc43ba07d299c5e8a3d954f710024d27bcc | /owners_api/serializers.py | 3ed8fe27b47c19714055045d0ff8595764dc12a8 | [] | no_license | Faiza1987/Salon-API | eaf601b44abed4fcd2501f1076aa4f043e14caa7 | 8bfab422accb2a5cae253a08f9cdab05a7469e6d | refs/heads/master | 2022-11-27T14:29:56.986608 | 2019-07-22T20:49:14 | 2019-07-22T20:49:14 | 196,279,240 | 0 | 0 | null | 2022-11-22T04:07:37 | 2019-07-10T21:48:18 | Python | UTF-8 | Python | false | false | 2,117 | py | from rest_framework import serializers
from owners_api.models import User, UserProfile
class UserProfileSerializer(serializers.ModelSerializer):
class Meta:
model = UserProfile
fields = ('salon_name', 'salon_address', 'salon_city',
'salon_state', 'salon_zip', 'salon_phone_number'... | [
"faiza.ahsan1222@gmail.com"
] | faiza.ahsan1222@gmail.com |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.