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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
46d54d3715c9aa7412a782c36b610842b28640e2 | c955d0f241e1b10ebb1a9ca851580b09f47fbd26 | /venv/Scripts/pip-script.py | 0fc9d0f7eea1cb49fa428a1c78bef712cc34d54e | [] | no_license | Nightichen/Myproject | dbb1d3231503a0179e0c84bae9f76af254a278c2 | 5fdfd6be283a3ea9b5bfce0f73f99737c7f485bc | refs/heads/master | 2020-06-14T04:23:51.102361 | 2019-07-02T16:57:32 | 2019-07-02T16:57:32 | 194,897,789 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 388 | py | #!D:\project\work\venv\Scripts\python.exe
# EASY-INSTALL-ENTRY-SCRIPT: 'pip==19.0.3','console_scripts','pip'
__requires__ = 'pip==19.0.3'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(
... | [
"1290337913@qq.com"
] | 1290337913@qq.com |
c901d0898001ebbe91cb1e3a51cc08279de8ec9b | f210a0034af487b5b86a833a3477751e00a19ba6 | /OpenCV/video.py/Fream_Cut.py | d42f58252ee3afb9fcc99ce190972abb21737704 | [] | no_license | HojiCha3171/pycharmproject | 34b2212a311e093ca697c3ec7c9ee4def8a2f399 | b15eb698f1c15c8073b574702c62df276234393d | refs/heads/main | 2023-05-03T19:09:29.459458 | 2021-05-23T12:49:50 | 2021-05-23T12:49:50 | 368,645,307 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 561 | py | import numpy as np
import cv2
cap = cv2.VideoCapture("C:\\Users\\tuzuk\\Desktop\\CIMG5572.MOV")
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
fps = cap.get(cv2.CAP_PROP_FPS)
fourcc = cv2.VideoWriter_fourcc(*'DIVX')
writer = cv2.VideoWriter("C:\\Users\\tuzuk\\... | [
"noreply@github.com"
] | noreply@github.com |
21aad8e9ae07cd132867853df8f27e5ab9e4c0c9 | 8a707aacc9ecd999cb2a996f91a718ce02f6205c | /leetcode/LowestCommonAncestorBinaryTree.py | 243cd8f4bd64ddf865bf3865d960f6f69388241d | [] | no_license | seeyarh/interview-prep | e074f68f1c1c05b9ab0911f30b13dad69c7bbfb8 | 1af5f79ed9dcf334d2758e14a9c08e7880246a4f | refs/heads/master | 2022-03-13T12:26:59.441211 | 2019-11-14T19:35:31 | 2019-11-14T19:35:31 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,766 | py | '''
Given a binary tree, find the lowest common ancestor (LCA) of two given nodes in the tree.
According to the definition of LCA on Wikipedia: “The lowest common ancestor is defined between two nodes p and q as the lowest node in T that has both p and q as descendants (where we allow a node to be a descendant of its... | [
"collinsrhuffiii@gmail.com"
] | collinsrhuffiii@gmail.com |
620624227555341d918d2c14af35a2be32a22968 | 4bd9953e0ec435796712b58fb1ec1ed167544994 | /longest-consecutive-sequence.py | d7e0ce6492b9904aee825e8e422f5d3ee257b0a9 | [] | no_license | kyungwoh/leetcode | 1a2d82276650f7d31c90ac6b9dccf166606cc219 | 88d48f177274dc388572b6fc3703cf12f76a59ec | refs/heads/master | 2021-06-02T18:08:49.587617 | 2020-10-04T22:03:42 | 2020-10-04T22:03:42 | 140,018,560 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 820 | py | # https://leetcode.com/problems/longest-consecutive-sequence/description/
# Save nums to set() & save start num
# Then, start from start
# Time: O(n), Space: O(n)
class Solution:
def longestConsecutive(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
if not nums:
... | [
"noreply@github.com"
] | noreply@github.com |
22c9b2072eee710b0af8c948145defea4346aa03 | 4aa7a4d0525095725eb99843c83827ba4806ceb1 | /keras/keras110_5_LeakyReLU.py | 213ecbe46b4073d61f4b984af0b9f92698fdaafd | [] | no_license | seonukim/Study | 65a70f5bdfad68f643abc3086d5c7484bb2439d4 | a5f2538f9ae8b5fc93b5149dd51704e8881f0a80 | refs/heads/master | 2022-12-04T17:04:31.489771 | 2020-08-21T00:35:15 | 2020-08-21T00:35:15 | 260,144,755 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 283 | py | # activation - LeakyReLU
import numpy as np
import matplotlib.pyplot as plt
x = np.arange(-6, 6, 0.01)
def leakyrelu(x): # Leaky ReLU(Rectified Linear Unit)
return np.maximum(0.1 * x, x) #same
plt.plot(x, leakyrelu(x), linestyle = '--', label = 'Leaky ReLU')
plt.show() | [
"92.seoonooo@gmail.com"
] | 92.seoonooo@gmail.com |
3b3394be7b0f7c6c13b2006438556a5f0c7303ff | 7848e1b778ca0f3921aeeb0aeee44b398711b1f0 | /funtesting/mock/__init__.py | 495f052105769c8dfec9019cc49217d5fe565c55 | [] | no_license | fatelei/funtesting | a3a292ddfa30d9fbad47ee293768558b9e45fe8d | 748f4b5767cc16929408b19a5b62a812b48a0dd5 | refs/heads/master | 2021-01-10T12:09:38.809451 | 2016-02-21T03:59:15 | 2016-02-21T03:59:15 | 51,986,949 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 158 | py | # -*- coding: utf8 -*-
"""
funtesting.mock
~~~~~~~~~~~~~~~
Mock modules.
"""
from .mock_redis import mock_redis
__all__ = [
"mock_redis"
]
| [
"fatelei@gmail.com"
] | fatelei@gmail.com |
7c70d30f3f40830485de9f09a9c2e9f194bac780 | 3c72e5da8c681b08dc0309f2b43f39b338df5d20 | /OLD/dynamic2flat.py | 3d8fc03991ab2f61cb9ec3babd39a56aa25b6250 | [] | no_license | ksingh7/data-show | 929daf95cf4bbe1786aae9b2227485ab65ac4814 | f4c0aa80f34999eed51227a954d3b86937a2ff6a | refs/heads/master | 2020-03-09T17:11:13.505601 | 2019-03-17T01:34:30 | 2019-03-17T01:34:30 | 128,903,452 | 1 | 3 | null | 2018-06-22T17:32:10 | 2018-04-10T08:55:07 | HTML | UTF-8 | Python | false | false | 2,564 | py | #!/usr/bin/env python
'''
Grabbed from: https://gist.github.com/zkendall/5c58ac81a9f152de2b851360df6539cb
This script converts the output of Ansible's dynamic ec2.py to a flatly formmated static inventory file.
Before running this script run `python ./ec2.py --refresh-cache > ec2-dynamic.json`
See: http://docs.ansibl... | [
"karan.singh731987@gmail.com"
] | karan.singh731987@gmail.com |
45de4cd95439627837ca10655abc903d328c3ca9 | e6ebedc843f643c492ed64871f5285255818749b | /jni-build/jni/include/tensorflow/python/ops/control_flow_ops.py | 1367cc822afbfc27b6b6c803dd5d3fa31c1322b3 | [] | no_license | thetonrifles/android-tensorflow | b7a3deb389b04892e3670ed9b4a3d0774a7552c8 | aef805df8139b46c81f440d38be78990a3b07c1c | refs/heads/master | 2022-12-21T08:53:16.655344 | 2016-03-01T21:55:28 | 2016-03-01T21:55:28 | 51,915,596 | 2 | 1 | null | 2022-12-11T20:44:02 | 2016-02-17T10:48:48 | C++ | UTF-8 | Python | false | false | 75,149 | py | # Copyright 2015 Google Inc. 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 applicable law or a... | [
"andrea.petreri@gmail.com"
] | andrea.petreri@gmail.com |
27c456bb190924f3117dc53002f8af05a9addc2b | 46643f7d73a270b8080ac9f2f570edc4b90a8b63 | /Backorder/trainingModel.py | 1a85dde3a2c919f570b402f53df3c3550b440052 | [] | no_license | khangdong89/Stock-out-Prediction | 16533de9d983048cda12f726cf8d0a09a8ea8d79 | 62719448e86600ff8f068802db4ff87504b0e28a | refs/heads/main | 2023-05-03T08:47:51.891938 | 2021-05-14T13:33:11 | 2021-05-14T13:33:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,718 | py | """
This is the Entry point for Training the Machine Learning Model.
"""
# Doing the necessary imports
from sklearn.model_selection import train_test_split
from data_ingestion import data_loader
from data_preprocessing import preprocessing
from data_preprocessing import clustering
from best_model_finder import tuner
... | [
"injarapusrisharanya@gmail.com"
] | injarapusrisharanya@gmail.com |
8e0ed00e073de8a5bccb6b2d7fe1eef2ede522de | 9e4df2b26e899f2d3e044e71bc4193958b02314b | /app/migrations/0027_auto_20200930_0118.py | bb05747fde99e2ecc6d9acb7db6fe524b26b1a36 | [
"MIT"
] | permissive | hosseinmoghimi/phoenix | afea0a73cdf257fcf89c75d85c5ab1890d957a83 | 43fc49421a50563acc1884981d391b0d6a5d5d72 | refs/heads/master | 2023-01-11T11:12:30.308822 | 2020-11-15T13:52:21 | 2020-11-15T13:52:21 | 295,109,751 | 1 | 5 | MIT | 2020-11-15T13:50:12 | 2020-09-13T08:31:01 | HTML | UTF-8 | Python | false | false | 701 | py | # Generated by Django 3.1 on 2020-09-29 21:48
from django.db import migrations
import tinymce.models
class Migration(migrations.Migration):
dependencies = [
('app', '0026_auto_20200930_0117'),
]
operations = [
migrations.AlterField(
model_name='jumbotron',
name='... | [
"hossein.moghimi.ce@gmail.com"
] | hossein.moghimi.ce@gmail.com |
140f01a599093240c627fc66b51a3682f093eb8a | df916fbff07accc3e11b3597fcfc0079e6ad1e97 | /django/mysite/polls/urls.py | 183f036166ca1bee2e2842feff59b1ebb96dfad7 | [] | no_license | kamdow/tkinter | c7bd174188b9d6922b1efec7dbb94b65b131333e | be0011cf34c6c6deb031903ebeecda5f123c490d | refs/heads/master | 2021-01-24T03:03:59.589500 | 2018-03-18T13:18:13 | 2018-03-18T14:26:23 | 122,874,979 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 113 | py | from django.conf.urls import url
from polls import views
urlpatterns = [
url(r'^$',views.index,name='index'),
]
| [
"kamil@capitalit.pl"
] | kamil@capitalit.pl |
da61602d3bb9101a4e07f97bee9c5b0dce187c33 | 836ae744a7adeab76f976741f265563667c4038b | /ML/models.py | e403fa0048d1505a3ff46bfffc524d41b3938ca8 | [] | no_license | Ashargin/ML_pack | bcd61d8796a1d69e1d73732e1fd6399398a199b4 | 60ed6bdad27dea722839e3306c4f5fca1df94712 | refs/heads/master | 2020-04-02T06:15:16.805453 | 2019-09-22T11:43:01 | 2019-09-22T11:43:01 | 154,138,030 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,541 | py | import numpy as np
import pandas as pd
import statsmodels.formula.api as smf
from sklearn.linear_model import Ridge
from sklearn.linear_model import ElasticNet
from sklearn.linear_model import HuberRegressor
from sklearn.ensemble import RandomForestRegressor
from sklearn.ensemble import AdaBoostRegressor
from sklearn.e... | [
"loic.omnes@free.fr"
] | loic.omnes@free.fr |
2b5bf12ab158d05efd089d721d894c8c774075be | 3754a0270271ef174947cca9e14d79f5fd86b0c6 | /src/db/__init__.py | 5db20a3937e5f1e0e87a6b59010a2ee6edd35076 | [] | no_license | skapin/lol-simulator | 4dc026ddfeb917bd788691d55d62d0c34eb3f8af | e3a7af2febd2297ee760b918d6b800de93768de1 | refs/heads/master | 2022-12-21T22:26:16.788491 | 2020-01-19T23:48:05 | 2020-01-19T23:48:05 | 233,236,136 | 0 | 0 | null | 2022-12-11T21:15:27 | 2020-01-11T13:29:01 | Python | UTF-8 | Python | false | false | 190 | py | from .kanban_card import KanbanCard
from .scan_kanban_card import ScanKanbanCard
from .kanban_reference import KanbanReference
__all__ = ['KanbanCard', 'ScanKanbanCard', 'KanbanReference']
| [
"skapinthefourb@gmail.com"
] | skapinthefourb@gmail.com |
bda7335b73251e8eb8ff1c425b385b4411daaf4f | f7506b6c25ccf33abb55fa2a428efd3c8f2eaf54 | /TkinterGUI.py | 1f924cfd419f76ac0d6d7a7dd200ad171c6eb2ec | [] | no_license | Jaynil1611/CountTheBalls | d6e54d1aee1556aca7ffcbf44508486ba545ef28 | d0d416363ee4c484d609af2209d94a4ce7318119 | refs/heads/master | 2020-08-03T08:36:46.930626 | 2019-09-29T15:46:55 | 2019-09-29T15:46:55 | 211,686,242 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,172 | py | # -*- coding: utf-8 -*-
"""
Created on Sun Sep 29 08:18:43 2019
@author: Jaynil Gaglani
"""
from tkinter import Tk,Label,Button,messagebox
def login_verify():
answer = messagebox.askyesno(title="your response",message = "Do you want to continue ?")
# the above functon will return true for 'yes' response , else wi... | [
"g.jaynil2401@gmail.com"
] | g.jaynil2401@gmail.com |
a0f48aa1e721a490f58b60f44852d126f5951745 | 6988f71087bc30aecd7c23a1688623c7227a1986 | /src/brats_preprocess.py | 1027ccb9b97748df7f030b0cdbd3abd5e8d7a8ca | [
"BSD-3-Clause",
"Python-2.0",
"Apache-2.0",
"MIT"
] | permissive | MICLab-Unicamp/BTRSeg | da181a5473726f32eb1cb89563fc0027d8fe4090 | 03078ac591fe95cf6cf3efaeb00ebf3e509181dc | refs/heads/master | 2023-08-15T02:40:02.761544 | 2020-07-04T20:09:34 | 2020-07-04T20:09:34 | 262,440,219 | 0 | 0 | NOASSERTION | 2023-07-23T15:48:00 | 2020-05-08T22:20:31 | Jupyter Notebook | UTF-8 | Python | false | false | 5,463 | py | '''
This module reads the original BratS 2020 data and saves preprocessed .npz files, to be used by the BRATS Dataset class.
Performs the same pre-processing done by Isensee Et Al.
Mean STD with clips for outliers in [-5, 5] and subsequent normalization to [0, 1]
Nothing is done with targets, only permutation of chann... | [
"carmodiedre@outlook.com"
] | carmodiedre@outlook.com |
92ee97e35fa267ae04d198981bc954d229c3c6fc | 49e6dde1b339dc537a9dabbdf418c2515590c24f | /camera_opencv.py | 83cca3e39ea861969600a67a1f49c101cd499710 | [] | no_license | elaa0505/CartoonNetwork | bcea7c8b5fd3e74fb1c43b669a391b0597f51c54 | 3e03313d0e5410229ed3680d366f6d69083b3079 | refs/heads/master | 2020-09-13T08:08:10.159961 | 2019-08-26T20:06:12 | 2019-08-26T20:06:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,143 | py | import cv2
from base_camera import BaseCamera
class Camera(BaseCamera):
video_source = 0
@staticmethod
def set_video_source(source):
Camera.video_source = source
@staticmethod
def frames():
camera = cv2.VideoCapture(Camera.video_source)
if not camera.isOpened():
... | [
"spoduval@mit.edu"
] | spoduval@mit.edu |
2eee39cad1933cd2f4b4756ab75b38eae5b338f7 | c4763d9df5ee8b665b28c15e60135aafb6c1351f | /revdig.py | 79671820e34bcb362ce753392896b61631fc5ab7 | [] | no_license | Kalaiselvan1503/Guvi | b3ed5ca62b801abaedb35a6fb190620d32eee664 | 368517ad00140e8db99bde07bddd3e958a316e80 | refs/heads/master | 2020-04-15T04:57:53.139946 | 2019-05-13T08:53:10 | 2019-05-13T08:53:10 | 164,403,733 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 32 | py | #oifdj
a=input()
print(a[::-1])
| [
"noreply@github.com"
] | noreply@github.com |
766e72cd7af1a808d5ee8a27a7407db0fe8b8f6f | f267aa117cadb0a19cdedf81ef7376424181ad73 | /wrappers.py | 5721bdb9b7ce3cf05a25f75995975f9538374c2b | [] | no_license | mweiss17/aido-submission | 7709a0820b82772effd2800f8f10e92353272d26 | 4a063b0e695717b7193d965cd655fdada77ed915 | refs/heads/master | 2020-04-06T07:47:29.194298 | 2018-11-14T22:45:22 | 2018-11-14T22:45:22 | 157,285,451 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,037 | py | import gym
from gym import spaces
import numpy as np
class ResizeWrapper(gym.ObservationWrapper):
def __init__(self, env=None, shape=(120, 160, 3)):
super(ResizeWrapper, self).__init__(env)
self.observation_space.shape = shape
self.observation_space = spaces.Box(
self.observati... | [
"martin.weiss@mail.mcgill.ca"
] | martin.weiss@mail.mcgill.ca |
e0538fc000765ecc496569b961d807556d4a6d3e | 3261af1e333e0a1df79e345ba7d79a0586b770b4 | /Generate data set.py | 631fff6ee059659f75c4d6d60c3ca291767301cb | [] | no_license | gopinal/ML-Karoake | 54edfdcef1c8601c5b1d7104bd29755c1109239d | 495a5204e5319b6d3dc4b43fcd13cdbf3bbabcee | refs/heads/master | 2021-01-26T13:41:41.983737 | 2020-03-22T05:10:17 | 2020-03-22T05:10:17 | 243,444,546 | 2 | 0 | null | 2020-03-13T18:29:45 | 2020-02-27T06:09:03 | HTML | UTF-8 | Python | false | false | 1,771 | py |
# coding: utf-8
# In[ ]:
###How to use this script###
#You need spectrogram.py to use this script. For the variable DIR, you will specify the directory where your #music files are.
#The end product of the script is a text file containing an array/matrix [X Y] of unrolled STFTs of 500ms segments of these songs.
... | [
"noreply@github.com"
] | noreply@github.com |
626ccb2e51e4602bed82ff9ee6f72b36dc9f0add | 0e647273cffc1fb6cbd589fa3c7c277b221ba247 | /configs/hpt-pretrain/bdd/byol_r50_bs2048_accmulate2_ep200/500-iters.py | 215d809fb24ebc2a34d497fc2f4750a359313eda | [
"Apache-2.0"
] | permissive | Berkeley-Data/OpenSelfSup | e9976bf011b69ebf918506ba184f464b1073ec13 | 221191b88d891de57725b149caf237ffef72e529 | refs/heads/master | 2023-05-12T07:34:52.268476 | 2021-04-08T00:58:37 | 2021-04-08T00:58:37 | 343,654,823 | 0 | 1 | Apache-2.0 | 2021-04-08T00:58:37 | 2021-03-02T05:20:27 | Python | UTF-8 | Python | false | false | 237 | py | _base_="../byol-base-bdd-config.py"
# this will merge with the parent
model=dict(pretrained='data/basetrain_chkpts/byol_r50_bs2048_accmulate2_ep200.pth')
# epoch related
total_iters=500*2
checkpoint_config = dict(interval=total_iters)
| [
"taeil.goh@gmail.com"
] | taeil.goh@gmail.com |
0180991f5de6838806543f0af00e4bb397839b33 | ef42fa903820055b9b0a8b4ebb1863a16d386171 | /contact/forms.py | ee057df7c2a82d279ab2da12b60a6da4f9beac72 | [] | no_license | sinjorjob/django-simple-capture-inquery-form | 2537c8e03bc2c0118f772b69a59866ffb34d7cac | 8bd2900a6bdf97b97ddca7b7240b42f478e14884 | refs/heads/master | 2023-07-02T14:40:43.840669 | 2021-08-10T21:24:24 | 2021-08-10T21:24:24 | 394,784,208 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,570 | py | from django import forms
from captcha.fields import CaptchaField, CaptchaTextInput
from django.core.mail import send_mail #追加
from config import settings #追加
from django.urls import reverse #追加
import smtplib #追加
class ContactForm(forms.Form):
name = forms.CharField(label="氏名")
email = forms.E... | [
"sinforjob@gmail.com"
] | sinforjob@gmail.com |
46f66ea1ef0c9ea86b3ae4df90278bea74ad0a67 | d98ec15b4b1201fd4fd065c5cd83dd7b45221fac | /main20181214.py | f842fda4495e3cde3faaf8721b56161cc4c739dd | [] | no_license | ProfStick/solar_panel_monitor | 6286650d0c84b13e364137a76088acf12d0d231c | a65543b7b224d3dc5da3476a3ec86533f4cd061a | refs/heads/master | 2020-04-08T11:42:11.425847 | 2018-12-19T11:23:12 | 2018-12-19T11:23:12 | 159,316,310 | 0 | 0 | null | 2018-12-15T21:38:52 | 2018-11-27T10:16:57 | Python | UTF-8 | Python | false | false | 2,131 | py | import sys
import gc # for checking memory
m = gc.mem_free()
print("\n{} memory".format(m))
import analogio
from digitalio import DigitalInOut, Direction, Pull
import time
import board
import busio
# from adafruit_featherwing import shared
m = gc.mem_free()
print("\n{} memory".format(m))
import adafruit_ina219 # cur... | [
"geoff.goldrick@det.nsw.edu.au"
] | geoff.goldrick@det.nsw.edu.au |
6ca6507d8739a5a097fe4a4f074030b932c97cac | 4db643b908cd648e7c5abf60b9e87b837b1cf953 | /mysql/test_delete.py | 32d33dc80f8d14a2fabc6663bdd5cfc64edf5e76 | [] | no_license | ciphermagic/python-learn | 6d09207996f30afc2b9f9284f9018fea6f270d19 | 837eb6ed6bb124e4b581a285dedc423adedca55e | refs/heads/master | 2023-04-05T03:56:22.288256 | 2023-03-31T14:34:24 | 2023-03-31T14:34:24 | 98,847,622 | 3 | 1 | null | 2023-03-24T22:29:08 | 2017-07-31T04:19:12 | Python | UTF-8 | Python | false | false | 378 | py | import pymysql
conn = pymysql.connect(host="192.168.199.245", port=3306, user="root", passwd="root", db="test", charset="utf8")
conn.autocommit(False)
cur = conn.cursor()
sql = "delete from user where name = 'test'"
try:
cur.execute(sql)
conn.commit()
except Exception as e:
conn.rollback()
print(e)
... | [
"ciphermagic@yeah.net"
] | ciphermagic@yeah.net |
62be29a83225382074ef88884da70792ec0067e6 | 00ce0f4d0c380d60cb336484200153636b249120 | /tests/agents/trade/test_case_mixin.py | 271f41ecbbe4a1c7723057a2e8fabc60c2e0e0c9 | [
"MIT"
] | permissive | tezheng/hearthbreaker | 21784aeba11f557703e22a23af54886c496d3fec | 169ad0d00e62300054e7cbaf5562d750f28730a8 | refs/heads/master | 2021-01-15T14:30:05.542012 | 2014-09-24T20:03:12 | 2014-09-24T20:03:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,925 | py | import random
from tests.agents.trade.test_helpers import TestHelpers
from hearthbreaker.agents.trade.trade import Trades
class TestCaseMixin:
def setUp(self):
TestHelpers.fix_create_minion()
random.seed(1857)
def add_minions(self, game, player_index, *minions):
player = game.players[... | [
"daniel.yule@gmail.com"
] | daniel.yule@gmail.com |
4a14238ab6b800f0cc73e526e8139c895d15f7b4 | ea3bf64156bbb79544bfd6b42bbcd3eda453ac31 | /extra-credit/Testing Room Locking System in Hotels/incorrect_impl_testkeycard_second_key_returns_second_key.py | cacf95a3697cc0bbbb510a65b0a6e8e07b6dec7f | [
"CC-BY-4.0"
] | permissive | Jackiexiong/software-testing-course | 563ffc8543fdcff9500f64944fd76e7c0c8e1144 | 3803851dcf9f7bbd0f0b89fca6c9c5e3a48f22e0 | refs/heads/master | 2021-07-08T02:10:25.915964 | 2017-10-04T20:50:51 | 2017-10-04T20:50:51 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,847 | py | import re
class Key(object):
"Key used in keycards and locks"
pass
class KeyCard(object):
"Keycard used to open a lock"
def __init__(self, first_key, second_key):
"""
Constructs a KeyCard with the given keys
Args:
first_key: in the keycard to be created
... | [
"rvprasad@ksu.edu"
] | rvprasad@ksu.edu |
7e728d7994113daafef1148f03a337e9e3b52537 | 5c9454cf9f9a5bf8f0239326fd54684de9cc391a | /kinetic_modelling/figure_3_volcano/query/query_energies.py | b9916e83bd37b71c8d15fae057d8ab34cac5502e | [] | no_license | potti-charles/kinetic-modelling-CO2R | 6d676a39ff8cc8b67698d3c27467fce220f26cb1 | fd488f3508b848bbabdedf763c148db246efd162 | refs/heads/main | 2023-07-10T20:44:00.939951 | 2021-08-18T15:13:35 | 2021-08-18T15:13:35 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 128 | py | version https://git-lfs.github.com/spec/v1
oid sha256:ab1eef8e871ed402a707590c4551d6132c5c11a2dc8a1a5dd7726f6d9ab51d59
size 697
| [
"vijays@fysik.dtu.dk"
] | vijays@fysik.dtu.dk |
f321eff3790154e88daceca1efd17d5dacafe2dc | 354b04e57b4db00d0046f77a1d3f6c89bdd7cfab | /CariesRobot/ProcesoAutomatico.py | b588bac1a01216a9e365b25325ffbf13410bdd28 | [] | no_license | RolandoCM/robotLaser | c9a55e86fd5ace81e443f08245f85f07d128309c | 5551caf122d7a4cd456046417dc345108bb2abac | refs/heads/master | 2021-08-23T18:13:25.044773 | 2017-12-06T01:34:43 | 2017-12-06T01:34:43 | 105,234,552 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 851 | py | import datetime
import cv2
import os
from comunicacion.TransformarCoordenadas import TransformarCoordenadas
from procesarImagen.Coordenadas import Coordenadas
from procesarImagen.RemoverFondo import RemoverFondo
from procesarImagen.kmeansImage import kmeans
class IniciarProceso:
def procesar(self):
# modu... | [
"castillor493@gmail.com"
] | castillor493@gmail.com |
5898c1034a4038ecddbfd07e7567ec2b0facdbee | 03c9bb7e3cc687afecd57c6c6e3d5c1d54ed7ab0 | /smilejakdu/3week/3day/MaximumSubarray.py | 745fb6d684c6125416fb3fa0eafd62e8a9348e99 | [] | no_license | smilejakdu/python_algorithm_study | 541aa3de77e9f432d41b5627790a6f3e10f5a07d | 5119b31b6ae781e12bf97134ca6f10fec662abd8 | refs/heads/master | 2023-04-06T15:41:41.156021 | 2020-08-10T08:58:34 | 2020-08-10T08:58:34 | 282,879,639 | 0 | 0 | null | 2020-08-01T07:04:38 | 2020-07-27T11:36:31 | Python | UTF-8 | Python | false | false | 897 | py | ''':arg
Given an integer array nums, find the contiguous subarray (containing at least one number) which has the largest sum and return its sum.
Input: [-2,1,-3,4,-1,2,1,-5,4],
Output: 6
Explanation: [4,-1,2,1] has the largest sum = 6.
'''
nums = [-2, 1, -3, 4, -1, 2, 1, -5, 4]
''':arg
maxcurr = nums[0]
max... | [
"ash982416@gmail.com"
] | ash982416@gmail.com |
eec15a244a210eb9b3b7d760622b3484a6e73f16 | 6e723d5620c6320d3fae1ca7f5d6bbd3413f8953 | /chap14/calc2.py | 1c295ecf29ea0b1d80ee4408c17eadff6ff0497c | [] | no_license | ericprogram/python | 73d55375e931fb0b421d70e85e5dc7ecdf4ab6cd | e992153838a8b7d37e11b225027f394b4fae127f | refs/heads/main | 2023-04-02T21:37:20.350760 | 2021-04-07T13:10:55 | 2021-04-07T13:10:55 | 332,361,722 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 311 | py | # --*--coding:utf-8--*--
# author : hmchen
# email : hmchen@cenboomh.com
# date : 2021/1/27 15:17
"""
自定义计算器
被导包引用测试
"""
def add(num1, num2):
return num1 + num2
if __name__ == '__main__':
# 只有当点击允许calc2时,才会执行运算
print(add(10,20))
| [
"hmchen@cenboomh.com"
] | hmchen@cenboomh.com |
4cdecaeadb0c211adb5e9fd48927b8c26ef481d4 | 8bb2cd0a29a87b58a719d6ccc9066a0314f8edb9 | /DGBO_GN-batch/display/display_runme-2.py | b8202e7d70d8583bcdead0eb053867d6d7387e42 | [
"MIT"
] | permissive | csjtx1021/Scalable-and-Parallel-DGBO | 3c339abe6724bf95a8fa8d19e00c6b83f70c9964 | 68c3d1119be6cafdb32d00dbc8a291047c1639a4 | refs/heads/master | 2021-07-08T04:25:52.423873 | 2020-10-16T02:42:31 | 2020-10-16T02:42:31 | 193,045,623 | 6 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,662 | py | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Wed Dec 20 12:06:21 2017
@author: cuijiaxu
"""
import numpy as np
import scipy.io
import scipy.stats
import pylab as pl
from plotshadedErrorBar import plotshadedErrorBar
from matplotlib.ticker import FuncFormatter
import load_data_from_result_file
import ... | [
"774197840@qq.com; jxcui16@mails.jlu.edu.cn"
] | 774197840@qq.com; jxcui16@mails.jlu.edu.cn |
9f6df83ef0c85235a7b23d535ab01164ba9d8afa | 3c437c9ad69317115d5fa9dfc72d22b2e415c0ac | /extra/py/setup.py | 6accd7fbf2dd525abf3a5b7b2ade65a41b66bcb8 | [
"MIT"
] | permissive | SpartanJ/bmpanel2 | e2bcda8eac8385f718fbaa51aa078ac816a46aee | 9d67757d915c7b707cc48a50c8cf97aa7c7a3513 | refs/heads/master | 2021-07-25T19:30:36.182477 | 2021-01-12T15:02:43 | 2021-01-12T15:02:43 | 11,990,899 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 253 | py | from distutils.core import setup
setup(name='bmpanel2cfg',
version='1.0',
description='Bmpanel2 Config',
author='nsf',
author_email='no.smile.face@gmail.com',
scripts=['bmpanel2cfg'],
py_modules=['bmpanel2']
)
| [
"no.smile.face@gmail.com"
] | no.smile.face@gmail.com |
43d5673a4d29d135e5649d6880fe12ba92999459 | 58442c17f5b0be577258b519be7dc6cefa9b9a8a | /exercises/for-statement.py | 9b68e74cce49ba7b9faed0088901cdfb23707606 | [] | no_license | LucasMonteiroi/python-course | ef4af5ffb53502cfdbfcb6f6e9f9e6022689823e | 49bbea2cc41320baa1d756dd7605419249ac160b | refs/heads/master | 2022-11-18T19:07:28.336186 | 2020-07-14T18:18:32 | 2020-07-14T18:18:32 | 277,085,859 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 77 | py | print('My name is ')
for i in range(0, 5) :
print('Machine nº' + str(i)) | [
"lmsupport@outlook.com"
] | lmsupport@outlook.com |
85cb80c6b44a3d07bee31bad87c5d4102559bde4 | 5cb98473ea9972d0a9a0278cde9b6ee8264f9bac | /01. Jump to python/chap05/mod3_driver.py | 5994fc46b1cc9b334106b3ade0789c1d901e08d6 | [] | no_license | libus1204/bigdata2019 | fd85dbcd8c89db991ab5c3efa11ff85466a823f8 | 5e9a6fa2c340c1fcd2840889ba40c7b805926558 | refs/heads/master | 2020-04-21T10:56:33.519490 | 2019-04-15T05:28:19 | 2019-04-15T05:28:19 | 169,503,607 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 45 | py | from mod2 import mod3
print(mod3.sum2(1, 2)) | [
"libus1204@naver.com"
] | libus1204@naver.com |
6248744912b7244e7fe7c4a642bb338ce2d833f1 | 35cc9b6b42ec55707a0e92cf7c0d7545b5d553a4 | /Pancake Problem Algorithm/SearchStrategy.py | 1694f94d63d8d37101f2eac326c895e55a7298ab | [
"MIT"
] | permissive | MrTee99/Pancake-Problem-Algorithm | 6d11cb1ac0238dfd94e9d6834f884638e4d794b8 | eb2474d070aa875323b174b3dadc51c68de3af82 | refs/heads/main | 2023-03-02T17:01:33.819341 | 2021-02-16T19:02:48 | 2021-02-16T19:02:48 | 339,476,846 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 583 | py | # -*- coding: utf-8 -*-
"""
Created on Mon Oct 28 00:10:56 2019
@author: MrTee
"""
from abc import abstractmethod;
class SearchStrategy(object):
@abstractmethod
def __init__(self): pass
@abstractmethod
def IsEmpty(self): pass
# This will be used to check weather the frin... | [
"noreply@github.com"
] | noreply@github.com |
87b430e954513c448fbbdd1e6e42af70c656a460 | 328d20201ba9b4080c107781994281a2f05e3dba | /AI/similarity/Similarity.py | 3a069679b615f0aa2a8893442e830214e1eab91a | [] | no_license | zzpp2333/BUAA-SoftwareEngineing-Feedback | 08c4687b79089cf58103fb6124482f2fc17e787a | d8fdb71e86c716e455e1fd395bd7a165380577b1 | refs/heads/master | 2022-05-18T09:51:55.469865 | 2019-06-02T19:39:27 | 2019-06-02T19:39:27 | 189,846,423 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,204 | py | from sklearn.feature_extraction.text import TfidfVectorizer
import numpy as np
from scipy.linalg import norm
from jieba import analyse
import json
tfidf = analyse.extract_tags
class Similarity_function:
def __init__(self, stopwords_file, questions):
self.stf = stopwords_file
self.ques = questions... | [
"1132066026@qq.com"
] | 1132066026@qq.com |
90ad81a8add0ce7a814e2dcef7127af1c6b70464 | 7b9161359e24f396481599e48e72ad3ff4ff3d6c | /mqttSamples/mqttShadowForProject.py | 6fda3e299cd7e7a93b595c25ebda6fc5a35ef91a | [] | no_license | cedriclec/postureFixer | 9471b93583074f3648fde7fa9bad2dc3fcc4baa2 | 4e345d32a90dfe914191ecec401d63f7c9867e62 | refs/heads/master | 2021-08-30T01:27:57.023903 | 2017-12-15T14:05:05 | 2017-12-15T14:05:05 | 110,058,545 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 5,002 | py | '''
/*
* Copyright 2010-2017 Amazon.com, Inc. or 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.
* A copy of the License is located at
*
* http://aws.amazon.com/apache2.0
*
* or in the "... | [
"cedric.lecuyer580@gmail.com"
] | cedric.lecuyer580@gmail.com |
4ad61973e9a63ca5158e9c049f29b04ecff7bd8c | fd198117c4f7fb9f0634c6241defb4278ff1fb00 | /ali_recommend/tianchi_liyumeng/util/3expandfeature.py | 7957f338c0e41e33539a3f3ee336795d8f13c375 | [] | no_license | ajoeajoe/dut_tianchi_mobile_recommend_train | acf08d2065cc13514c86db983b49d0370a0925e4 | ddf529bacf9530c94d1c75afc0ac326bc1f22175 | refs/heads/master | 2021-01-19T12:04:08.968171 | 2017-04-19T06:01:31 | 2017-04-19T06:01:31 | 88,015,889 | 0 | 0 | null | 2017-04-12T06:08:53 | 2017-04-12T06:08:53 | null | UTF-8 | Python | false | false | 2,198 | py | # coding=utf-8
"""
本脚本用于扩展出除法特征
"""
import sys
# 配置项
# 输入文件路径,需要是未进行归一化的文件
filename = ur'..\dutir_tianchi_recommend_data.csv.mysql.samp.csv'
#配置项结束
if len(sys.argv) > 1:
src = sys.argv[1]
else:
src = filename
#输出文件
dst = src.rstrip('.csv') + '.expand.csv'
#ui 在4~39,u在44~79,i在111~146,c在151~186,uc在218~253
ui... | [
"noreply@github.com"
] | noreply@github.com |
2527d268820449444eac5831b8e75750f7df3a50 | 61ecf9a14ac978d4d1241a7f4f453c9274e0a057 | /Question8.py | 5b9ac32cf545fd7de56cb1fa000ba790c2f4c8f4 | [] | no_license | nikuthapa/Python-AssignmentII | 578f53379ce6fcc69ce7a16c23eec62da5f0ae39 | fd46abf7801f1b408f35fa77d5d3ac7caf76a5a7 | refs/heads/master | 2022-11-10T21:52:42.941359 | 2020-07-05T08:33:58 | 2020-07-05T08:33:58 | 277,256,897 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 499 | py | """
Write a function, is_prime, that takes an integer and returns True if
the number is prime and False if the number is not prime.
"""
def is_prime(num1):
if num1 == 1:
return False
elif num1 == 2:
return True
else:
if num1>1:
for x in range(2, num1):
i... | [
"thapaniku12@gmail.com"
] | thapaniku12@gmail.com |
c5e6565284afe0245f00a0f1092a9ca3943fd09d | 5ad4d4ff6060f67e262e42f0d6a24496efa87235 | /7_10_dream_vacation.py | c71f940d6bea95d15bc43aca76eae0a503133f57 | [] | no_license | silasfelinus/PythonProjects | 779bba4b508e2110510a1607e44c3edbf8a232ea | 4474e03c9e21e35c100bfb524a86a35d1b59820d | refs/heads/master | 2022-12-08T12:34:42.987932 | 2020-08-27T21:10:30 | 2020-08-27T21:10:30 | 290,848,514 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 503 | py | responses = {}
polling_active = True
while polling_active:
name = input ("\nWhat is your name? ")
response = input("Where is your dream vacation? ")
responses[name] = response
repeat = input("Would you like to let another person respond? (yes/no) ")
if repeat == 'no':
polling_active = False
#Polling do... | [
"silasfelinus@gmail.com"
] | silasfelinus@gmail.com |
30ede00e9d10dd52241df086f9b16f32c6aa467a | 6b01a1743bb58d079f957971d83209896ba45369 | /budgets/migrations/0003_auto_20190624_2108.py | f4b30283890df33fbbeb0c350028a1898c53d289 | [
"MIT"
] | permissive | saraxboyd/BalancedBudget | a0bf0645bfebd8414f5655751c153df4177cda20 | b5509ef1ee482c9e766dd5749bf19b39e23b6e78 | refs/heads/master | 2020-06-10T21:53:35.772910 | 2019-07-10T02:00:25 | 2019-07-10T02:00:25 | 193,762,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 361 | py | # Generated by Django 2.1.7 on 2019-06-24 21:08
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('budgets', '0002_budget_current'),
]
operations = [
migrations.RenameField(
model_name='category',
old_name='category',
... | [
"saraxboyd@gmail.com"
] | saraxboyd@gmail.com |
67db908fcf4ac7295182923fcb904759672d6542 | 7fc1a2dc206f32974610c316f3d35eeea08fd669 | /AIEngine/transformation/medi_mapping.py | 708a3bffad11071d6bc7bcb57324a84d4c0d0f0b | [] | no_license | WendellTeam/AICoreEngine | 8ab30e2eca9e1ca34daceb5683203bfc8efb0520 | 2a61b6a41177ca4197614cdaeda86d5decbf85dc | refs/heads/master | 2023-05-10T03:27:56.678992 | 2021-05-28T13:17:03 | 2021-05-28T13:17:03 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,818 | py | from transformation.medi_file_manipulation import file_manipulation,all_excel_move_to_archive,create_path,createfolder,move_file,get_all_File
from transformation.medi_medi import Medi_Mos
from transformation.medi_bdx_manipulation import bdx_automation
from transformation.medi_update_dcm import update_to_dcm
from transf... | [
"helo.aizek@gmail.com"
] | helo.aizek@gmail.com |
651cce70a1b9079a9d3c2ff36e374e7e07518a62 | aa1b99de303ae4c092f77dab0c928e4962d14f3e | /project/models.py | 7f0fefacc983dffec833e44816e98ce87fc9b00f | [] | no_license | dionissqq/test | 980dd260c70ea69463a31265b77f2d6661f9d05f | 3c547a0ef6a8d96cbe6af862dfcdc7e372ef60dd | refs/heads/main | 2023-03-12T21:52:51.720926 | 2021-02-11T10:36:46 | 2021-02-11T10:36:46 | 338,022,911 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 220 | py | from . import db
# class User():
# email = db.StringField()
# password = db.StringField()
# name = db.StringField()
# class Token(db.Document):
# value = db.StringField()
# userID = db.StringField() | [
"dendenysyk@gmail.com"
] | dendenysyk@gmail.com |
87d413d7af90828f2782af0f4e847016caecc553 | b403c7fe56209472855dff451f0b6283d5471008 | /Supplemental_Material/PythonProjects/myFunctions/isItOdd.py | 14037a63dbb500f808f9316903acca319e7bc678 | [] | no_license | Sandbox4KidsTM/Python_Basics | 842bde52796896e913fdb5cc349034c52092555f | 68c95547ec1567958fc8069e6a4bb119e436211a | refs/heads/master | 2020-03-23T01:06:29.363196 | 2018-08-10T04:32:58 | 2018-08-10T04:32:58 | 140,901,128 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 173 | py | #checks if a user-entered number if odd
a = int(input("enter a num: "))
if a % 2 == 0: #% modulus rep
print("number is EVEN")
else:
print("number is ODDDDD") | [
"mitchslabrenz@gmail.com"
] | mitchslabrenz@gmail.com |
f18208cbe2c56461d40b39d71cffbfaf1b0fee2b | 6af6a6fb7d0759be524f2592a470d91947e0e2bc | /RandomForest/src/dataset/sp_010_1e2.py | 699dc20994db4aa94c5f33202f7ef75e147f7653 | [] | no_license | wasit7/ImageSearch | 5094e56db46af0d05cf76e5b5110c5b92d5198fd | 3cd7ab3fa3c89873c0b49b1311ed5e7c5f4b8939 | refs/heads/master | 2020-05-17T01:12:24.616821 | 2015-08-10T07:26:44 | 2015-08-10T07:26:44 | 22,672,379 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,887 | py | """
Contain class that provide spiral dataset to random forest.
@author: Krerkkiat
updated by Wasit
"""
import numpy as np
class SpiralDataset:
'''
Provide Spiral Dataset to Random Forest
'''
def __init__(self, clmax, spc):
'''
Initial routine.
Parameter(s):
clma... | [
"wasit7@gmail.com"
] | wasit7@gmail.com |
09260fd8d838c70817614bb78ecb29b4e3fa11f3 | 57fb2f548e594b1ac0fe56d04f7efdf9f48c86ff | /Projects/feature_selection/find_signature.py | 2a61c7487162db1e7d93f1c5c1afb0d7d86ed733 | [] | no_license | altrome/UD120 | 63d68640ff83b180b25084b65f1078239713faa9 | 9c6696d59729804a8b3e392fff2eba9a0e9787cc | refs/heads/master | 2021-01-10T14:28:25.337822 | 2016-01-21T10:21:54 | 2016-01-21T10:21:54 | 49,486,883 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,907 | py | #!/usr/bin/python
import pickle
import numpy
numpy.random.seed(42)
### The words (features) and authors (labels), already largely processed.
### These files should have been created from the previous (Lesson 10)
### mini-project.
words_file = "../text_learning/your_word_data.pkl"
authors_file = "../text_learning/yo... | [
"alextrejo@onsanity.com"
] | alextrejo@onsanity.com |
4ac2070081bd649a4703983d4b5dd9f1a05f510b | 1964d5bbb0cf82e24c485ffffe1b692033e500b5 | /vpg.py | 27ab60814a920af526ecdf06eae267e869d399f1 | [] | no_license | rashmi-iyer/RISE | 264dc4a4736a85d9d38f5c0a3f37b325061cd69c | 5ffff3559fd2c9d5e5306312b441cb6c8ab9286a | refs/heads/master | 2020-06-28T00:51:26.959856 | 2019-08-03T21:37:08 | 2019-08-03T21:37:08 | 200,098,583 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 19,196 | py | import numpy as np
import tensorflow as tf
import gym
import gym_maze
import time
import spinup.algos.vpg.core as core
from spinup.utils.logx import EpochLogger
from spinup.utils.mpi_tf import MpiAdamOptimizer, sync_all_params
from spinup.utils.mpi_tools import mpi_fork, mpi_avg, proc_id, mpi_statistics_scalar,... | [
"noreply@github.com"
] | noreply@github.com |
c7ffad90b31577fe2d51742bfeff3c95081eaeb5 | b875a17848ab0a604c54556e2afe18a83650c4b0 | /api/views.py | 13faed2eff31b5d8363ac0dae1e51ad9015a1df0 | [] | no_license | isaacampah222/alma_server | 2cd62e32fd2700cc7d5af64f1abfd3960f947234 | 3b7acb2b48291a9528e62bbf1204e14b718891be | refs/heads/master | 2022-11-24T09:45:52.767773 | 2020-07-30T18:53:12 | 2020-07-30T18:53:12 | 283,631,620 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,823 | py | from rest_framework.generics import GenericAPIView
from rest_framework import mixins, permissions
from rest_framework.response import Response
from knox.models import AuthToken
from django.contrib.auth import login
from rest_framework.authtoken.serializers import AuthTokenSerializer
from .models import SingleOrder
from... | [
"ijampah@localhost.localdomain"
] | ijampah@localhost.localdomain |
96568d5b7e0d8b7c45731111f658cc000e273b1a | 8885b07ee5fd98bbd9d0d9232f6539816879faca | /reinforcement/widgets/tests/agents/random/test_random_agent.py | def506e5da3ff27fc4055ff3772f4ba98783e3bd | [] | no_license | gbaptista/orange3-reinforcement | d66db1eefd9914fb33b54f0f014a7d359c501be5 | e08910899d110b75afa99f25e01ced87ff94a30b | refs/heads/master | 2020-03-28T21:11:55.181459 | 2018-10-05T23:11:35 | 2018-10-05T23:11:35 | 149,137,134 | 5 | 0 | null | 2018-10-06T00:37:26 | 2018-09-17T14:21:52 | Python | UTF-8 | Python | false | false | 414 | py | from ....agents.random.random_agent import RandomAgent
def test_train_episode():
environment_id = 'FrozenLake-v0'
random_agent = RandomAgent(environment_id)
assert random_agent.name == 'Random Agent'
result_keys = list(random_agent.train_episode().keys())
assert result_keys == ['steps_to_finis... | [
"guilhermebaptistasilva@gmail.com"
] | guilhermebaptistasilva@gmail.com |
e8187f4393ff43fc5d05a2a836249ecab831a4e3 | 2ad1b46515e07561fc45a724e0c890e073bd4553 | /my_max.py | 995b5a761346509e17bb47f38be67cc35510e452 | [] | no_license | MariaKrepko/my_python | 4b96910de31b43ab3f0d55de69735cbab5b5ff9d | 36663a6608deaa57dd513d1da34c4dad1d109198 | refs/heads/master | 2020-04-23T22:47:57.191051 | 2019-05-28T22:22:34 | 2019-05-28T22:22:34 | 171,514,159 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 86 | py | num1=input()
num2=input()
if num1 > num2:
print(num1)
else:
print(num2)
| [
"noreply@github.com"
] | noreply@github.com |
8a163c061b4c1c372383efd313451dd7bc59d983 | 0f0440c398ce75044c0e54b12d6c0bc5d1e7a167 | /sitepr/votacao/migrations/0001_initial.py | f6ce911ba968c07fa36a303a8f23ddb43814cd6b | [] | no_license | ElSulphur/DIAM | 8511b15681861c5198479bfdf18455656a5b60ba | 726f4df785ee5b7b6c58d961b4bb6621de55052f | refs/heads/master | 2023-03-31T20:23:38.345012 | 2021-04-10T22:57:46 | 2021-04-10T22:57:46 | 356,336,623 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,077 | py | # Generated by Django 3.1.7 on 2021-03-18 10:26
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Questao',
fields=[
... | [
"nascimento1188@gmail.com"
] | nascimento1188@gmail.com |
c0dd503b1a9ab64668c1bd73cb9fac6abcc20aaf | 9c20f53c155a487b2af0110a7388f7b1ae8d6ac0 | /JQKA/JQKA/spiders/myselector.py | 13a243c755006de1367c0d53a52fc93853ace3af | [] | no_license | xfzhu2003/github | b9f2f2c37b571b7019a2faf02deb5f8d1d5fafc9 | 2f135849023a89d1514dec236d086e4783aad3df | refs/heads/master | 2020-08-08T14:59:03.860049 | 2018-03-20T01:52:37 | 2018-03-20T01:52:37 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,810 | py | #-*- coding:utf-8 -*-
import re
import urllib.parse
#from itertools import chain
import datetime
#import random
from user_agent import generate_user_agent
from pdfminer.pdfparser import PDFParser,PDFDocument
from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter
from pdfminer.converter import PDFPageAg... | [
"luopx@hffss.com"
] | luopx@hffss.com |
9109cf92a3874f5187986e1ec9f78049378ebeb5 | 273ab7fc98ef8a299daf56d9ce7a0d917453be6a | /BlueStakesETL_Old.py | 819054d2145cf6c06d81f022744008513a3d89eb | [] | no_license | Zee-Bee/tester | c5e6aa385ae62c80b2b1f00d051ac99346cc22ba | 5793f97e2c0f108ea61842117a966bb1de81f185 | refs/heads/master | 2020-04-07T00:18:44.949542 | 2018-11-16T17:57:20 | 2018-11-16T17:57:20 | 157,898,351 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 58,163 | py | import arcpy, datetime, time
from arcpy import env
from arcpy import da
#sgid10 = r'C:\ZBECK\BlueStakes\stagingBS.gdb\SGID10_GEOGRAPHIC'
#sgid10 = r'Database Connections\dc_agrc@SGID10@gdb10.agrc.utah.gov.sde'
sgid10 = r'C:\ZBECK\BlueStakes\testDB.gdb'
sgid10_GEO = r'C:\ZBECK\BlueStakes\stagingBS.gdb\SGID10_GEOGRAPHIC... | [
"zachybeck"
] | zachybeck |
5595eba708e5354b7677d7ac6638394192648dee | 6322fcae7302c4fe60b14c36a2dfbc5ba7432d8b | /profiles_project/profiles_api/migrations/0002_profilefeeditem.py | 8e2bf057cda238c513914d1d003d70ca9b7b03c2 | [
"MIT"
] | permissive | Ali1995Askar/profiles-rest-api | abb2b580c6ab451159f3164acc3377a62597da3a | 3e1cd11dfc2cd1fc879b3f1adbe720c0ad38999c | refs/heads/master | 2023-06-12T13:14:32.028640 | 2021-07-08T15:22:06 | 2021-07-08T15:22:06 | 320,111,987 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 789 | py | # Generated by Django 3.2.4 on 2021-07-08 14:57
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('profiles_api', '0001_initial'),
]
operations = [
migrations.CreateModel(
... | [
"ali1995askar@gmail.com"
] | ali1995askar@gmail.com |
6e4be48ebd16b05af14ae97508e703148073511e | 24b43b336689530ccb9e3b07ff74d21f124c9ebe | /Testing/plot_bound.py | a0a8178372a74a9f40b5ade861aaf06307a0ef5c | [] | no_license | kemalmahmuljin/Pear_Project | 3f04a429fd14dfd479a3351d139914dbfbed5cd9 | 97b34d2f85b47046028a405cb7cc047d12745fca | refs/heads/master | 2022-04-19T18:18:13.809935 | 2020-04-22T08:23:04 | 2020-04-22T08:23:04 | 240,002,420 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,021 | py | import matplotlib.pyplot as plt
import numpy as np
from io import StringIO
coords_file = open("coords", 'r')
coords_str = coords_file.read()
coords_str = coords_str[coords_str.find('\n') + 1:]
coords_stream = StringIO(coords_str)
coords = np.loadtxt(coords_stream)
boundaries_file = open("boundaries", 'r')
bound_str ... | [
"gcapittini@localhost.localdomain"
] | gcapittini@localhost.localdomain |
7ed4ad3d5e2ca344f1887ae726701a3e87e4c6ae | 41615e2198cd99fdf0c8e473918138cedd05dde4 | /flamingoTest/settings.py | d60f4c3f4df0dc035ea6ba3cce3b299b814274ba | [] | no_license | mansi02/flamingoTestBackend | 3b08c7d2e0de40a21e1f584663b73dc91d89ccbc | 0ffeb7624d174789e2f3975d1bde89a21386b466 | refs/heads/main | 2023-06-18T20:58:54.357352 | 2021-06-29T09:57:01 | 2021-06-29T09:57:01 | 381,314,255 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,565 | py | """
Django settings for flamingoTest project.
Generated by 'django-admin startproject' using Django 3.2.4.
For more information on this file, see
https://docs.djangoproject.com/en/3.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.2/ref/settings/
"""
import o... | [
"mansi0201@gmail.com"
] | mansi0201@gmail.com |
9f2b66930fa1680db4ac6e886f4ab820898c1c59 | 5e97883ffb0baf1aa837050245afb253d4ad97b1 | /backend/blog/models.py | da9f90ea7b43ccf7eec727478bd0ea01c3a41ea6 | [
"ISC"
] | permissive | DamQuangKhoa/interview-home-work | 1d421710da3bf29c3da3cc3ca54babca8222b792 | 39bdfa20aba77af2946cc3e796b92fb343584c66 | refs/heads/master | 2020-12-05T14:32:42.258884 | 2020-01-08T15:40:40 | 2020-01-09T19:52:22 | 232,140,207 | 0 | 0 | null | 2020-01-06T16:26:55 | 2020-01-06T16:26:54 | null | UTF-8 | Python | false | false | 3,592 | py | from django.db import models
from django.utils import timezone
from django.contrib.auth.models import User
from django.urls import reverse
from taggit.managers import TaggableManager
from django.contrib.postgres.fields import ArrayField
class PublishedManager(models.Manager):
def get_queryset(self):
... | [
"damquangkhoa02@gmail.com"
] | damquangkhoa02@gmail.com |
067fa51eb4fa0e09a6621a97ebe17ee42860681d | 6b9851216acc29a63fba94a633c9370ed48006ad | /product/migrations/0009_auto_20210501_2216.py | a47acdf6beda36c035bf5093d83079ee96e302ed | [] | no_license | mustafabayarr/Django-E-Commerce | dc07ecc7b417decf6de0cd92b915be9c2e7a9b7a | de2e46f0793f445ca546ed7b2a484092b4a8e024 | refs/heads/main | 2023-05-30T20:01:44.250290 | 2021-06-30T19:05:15 | 2021-06-30T19:05:15 | 347,505,444 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 373 | py | # Generated by Django 3.1.7 on 2021-05-01 19:16
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('product', '0008_comment'),
]
operations = [
migrations.AlterField(
model_name='category',
name='slug',
f... | [
"bayarmustafa151@gmail.com"
] | bayarmustafa151@gmail.com |
55312306f0b0073a60e7739ef1e8dcfcfae8c28c | b7fdc9df049029ab043073b06648375da0693737 | /accounts/api/urls.py | 10dd92abd9b34d381cc753cb4f45cadc0d924160 | [] | no_license | karn21/task-manager | c640a6209e20b429ffa4f2307273509184f8396f | 77cacd1e6f83de5eba83ec6b350ba71160fc161c | refs/heads/master | 2023-08-01T13:42:41.747043 | 2020-06-06T09:58:17 | 2020-06-06T09:58:17 | 263,887,690 | 0 | 0 | null | 2021-09-22T19:01:03 | 2020-05-14T10:45:29 | JavaScript | UTF-8 | Python | false | false | 381 | py | from django.urls import path, include
from knox.views import LogoutView
from .views import UserAPIView, RegisterAPIView,LoginAPIView
urlpatterns = [
path('', include('knox.urls')),
path('user', UserAPIView.as_view()),
path('register', RegisterAPIView.as_view()),
path('login', LoginAPIView.as_view()),
... | [
"karn212000@gmail.com"
] | karn212000@gmail.com |
89e353022fef9fffa9f5835f74ae7501b8c1d990 | 3960fa9721ff97c8da99d010e27118ab0bc1201d | /tests/storage/fake_storage.py | c1437e781c494d82c715effbb93b4b9fafedaf40 | [
"Apache-2.0"
] | permissive | iamjoshbinder/plaso | d3ebbc216b4d89c8f8f6ab50f059b6db7bcca599 | 762aa1d1eb17760ef5e2708a48dff2acad7001ea | refs/heads/master | 2021-08-08T13:23:10.146862 | 2017-11-09T10:44:09 | 2017-11-09T10:44:09 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,362 | py | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""Tests for the fake storage."""
import unittest
from plaso.containers import errors
from plaso.containers import event_sources
from plaso.containers import reports
from plaso.containers import sessions
from plaso.containers import tasks
from plaso.lib import definitions
fro... | [
"joachim.metz@gmail.com"
] | joachim.metz@gmail.com |
e365f14b049d2372740d1366505b2ea8cab392c1 | aa520d389a91e68fa61170caeb4ec8f76fad40d3 | /testCases/conftest.py | 05895d257f4acd64a7f20400fa6650496457a1c2 | [] | no_license | arumugam85/Selenium_Python_Allure | 5703046b98fcd350b90a50f7ad4a5e5c1b513026 | 9ec65e79c910daec75d51fb7c96fc52a1c309cef | refs/heads/master | 2023-09-04T02:05:00.446419 | 2021-11-01T02:41:34 | 2021-11-01T02:41:34 | 423,153,205 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,370 | py | import datetime
import pytest
from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
class BaseClass:
def __init__(self, driver):
self.driver = driver
@pytest.fixture()
def test_setup(self):
global driver
self.driver.implicitly_wai... | [
"rarumugambe@gmail.com"
] | rarumugambe@gmail.com |
4fd9bed4328f8591ad62960574eed263df888ec7 | f618cb7a1b1f49c02396a2bb969cc7518fd163ab | /doc/_gallery/1_3_1_noisy_chirp_wv.py | ba10a534a72d30bbb4a32f5780d048b7422177fb | [] | no_license | kingjr/pytftb | b968b8e2fc294a19cec8bf63e7d289f368ddf194 | 0bcacf5eef46bd173d90a23c00a7f4b8ee284b22 | refs/heads/master | 2021-01-16T22:27:05.587174 | 2015-06-25T05:16:02 | 2015-06-25T05:16:02 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 572 | py | #! /usr/bin/env python
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright © 2015 jaidev <jaidev@newton>
#
# Distributed under terms of the MIT license.
"""
"""
from tftb.generators import fmlin, sigmerge, noisecg
from tftb.processing.cohen import WignerVilleDistribution
# Generate a chirp signal
n_points = 128... | [
"deshpande.jaidev@gmail.com"
] | deshpande.jaidev@gmail.com |
872d338f6ea05a63f4fdf3aa24e2179ae2df3125 | 0e039e8aacd1e89b122ae0d5aa0b58da04ae13af | /Python2/matrix_addition1.py | a268fa45c0560cdcda10921358e81e3358326fac | [] | no_license | jaredStevens/python-exercises | 0e4013667dd4409c734219558e444bfbf1eb3f06 | f5aba9c9db2219a258218457960f841ba58a4f6b | refs/heads/master | 2021-09-10T08:29:40.268170 | 2018-03-22T23:20:44 | 2018-03-22T23:20:44 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 216 | py | arr1 = [1, 3, 2, 4]
arr2 = [5, 2, 1, 0]
def addVectors(arr1, arr2):
addList = []
for i in range(0, len(arr1)):
addList.append(arr1[i] + arr2[i])
return addList
print(addVectors(arr1, arr2)) | [
"jared.b.stevens@gmail.com"
] | jared.b.stevens@gmail.com |
f23a0c46bc7f06f519c46dda30322d02e934272d | 9ec431f50fd0e8f3949ea792aa14b11ad1712144 | /Modulo 01/exercicos/d008.py | 5694b1497cd605daec992565afbbfb0a9f916636 | [
"MIT"
] | permissive | euyag/python-cursoemvideo | c3d42ae332e81a9fc9dfc66743df4acee439bff3 | d2f684854d926e38ea193816a6c7d2c48d25aa3d | refs/heads/main | 2023-08-02T14:32:02.266366 | 2021-10-01T03:47:40 | 2021-10-01T03:47:40 | 379,093,140 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 200 | py | print('===== DESAFIO 08 =====')
m = int(input('digite um valor em metros: '))
cm = m * 100
mi = m * 1000
print(f'{m}m em centimetros equivale a {cm}cm')
print(f'{m}m em milimetros equivale a {mi}mm')
| [
"clancysla@gmail.com"
] | clancysla@gmail.com |
2655406fbba0bc1f5d4ec29aaa0d0d04a1e907b4 | bd0d510a9117c65552c9e813fdfcc115dc36d752 | /app/__init__.py | 3e56b439bba39e686c211fdcd571392e348a4fdd | [] | no_license | grigorevma/test | 81a42b1e9f84d0860b915402ef264efef20cc2a8 | d1342d909b5359f865df2390611ccc95eacf5143 | refs/heads/master | 2022-12-21T12:28:16.709713 | 2019-07-18T16:09:45 | 2019-07-18T16:09:45 | 197,398,989 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 476 | py | from flask import Flask
from flask_bootstrap import Bootstrap
from flask_sqlalchemy import SQLAlchemy
from app.config import config
bootstrap = Bootstrap()
db = SQLAlchemy()
def create_app(config_name):
from app.main import main as main_blueprint
app = Flask(__name__)
app.config.from_object(config[confi... | [
"grigorevma@bk.ru"
] | grigorevma@bk.ru |
685bb881ba505735cab4af01cfd4fd30bc4c0bbd | 3592225aaddee6265cb7170e0bea9dc606ee6a7e | /Documents/UCSB_classes/loadtest/bin/rstpep2html.py | 6a2a4a3aec25464fb92d7fe7b599b8cc417b3c52 | [] | no_license | larssbr/AI_ovinger | d9c059762b1ffa2c7ebe174ebc0298a677507cec | 3d2e16c0f291ac0ec2df23cffeb6ef57dd042f56 | refs/heads/master | 2021-01-20T05:31:45.768631 | 2015-10-11T16:47:18 | 2015-10-11T16:47:18 | 13,295,085 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 717 | py | #!/Users/larsbrusletto/Documents/UCSB_classes/loadtest/bin/python
# $Id: rstpep2html.py 4564 2006-05-21 20:44:42Z wiemann $
# Author: David Goodger <goodger@python.org>
# Copyright: This module has been placed in the public domain.
"""
A minimal front end to the Docutils Publisher, producing HTML from PEP
(Python Enh... | [
"larsbrusletto@gmail.com"
] | larsbrusletto@gmail.com |
a23e2e8bc24dcfdc8da9c27890d774c829e57699 | 4494d8b45191f4e323d35ea5e1a65533db41a3b8 | /booking/management/commands/startbot.py | 658f66b586f6394f49c117e5ff6dbedfe6c7c91a | [] | no_license | AVKashtanov/chatbot | 18dd104cd3a477a91befc1306adab6dc6a5a1875 | e111e54e6c4129ab08558b410b11e1c3cd74edd2 | refs/heads/master | 2023-08-16T20:31:34.713813 | 2021-08-23T01:14:15 | 2021-08-23T01:14:15 | 397,475,252 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,304 | py | from django.core.management.base import BaseCommand
import telebot
from telebot import types
from chatbot.settings import TELEGRAM_TOKEN
from booking.enums import BookingStages, SocialNetworks
from booking.bot import AbstractBot
class TelegramBot(AbstractBot):
def do_bot(self, **kwargs):
bot = telebot.Tel... | [
"tema.nkkav@mail.ru"
] | tema.nkkav@mail.ru |
e8cff7eef8976183de24a8c81236fe19a69fbaa1 | 56b7bef4ff86fb30289807d6ac80feb7580fd972 | /replay_buffer.py | f351533f56527a36624df1994b976c2d521f065a | [] | no_license | Akshai/rl_collaboration_and_competition | 9f80cb51e5eab816e89b585efdc59d6a34a06485 | 38e818d9a6401ca2e3fdb3d5b451efdd9129d2fb | refs/heads/main | 2023-01-13T14:07:53.733535 | 2020-11-14T03:59:40 | 2020-11-14T03:59:40 | 310,808,829 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,028 | py | from collections import namedtuple, deque
import numpy as np
import torch
import random
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
class ReplayBuffer():
"""Fixed-size buffer to store experience tuples."""
def __init__(self, action_size, buffer_size, batch_size, seed):
"""... | [
"akshai@AKSHAIs-MacBook-Pro.local"
] | akshai@AKSHAIs-MacBook-Pro.local |
678ecff1e87f853037d4016cce7439c1431d7128 | b0e31216fcf986eaaa51adb973404c766e8042db | /build/search_and_rescue_sim/catkin_generated/pkg.develspace.context.pc.py | 916300b574a077774f2edf0e962f289fd546643f | [] | no_license | mateoguaman/RAPDR | 8a3f56cc68de17b44e292262e18b3bf204d3dd97 | 431e2d59b062c900163f55e0cf68d55f927feebf | refs/heads/master | 2020-03-28T19:51:30.447935 | 2018-09-16T14:36:08 | 2018-09-16T14:36:08 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 379 | py | # generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "".split(';') if "" != "" else []
PROJECT_CATKIN_DEPENDS = "".replace(';', ' ')
PKG_CONFIG_LIBRARIES_WITH_PREFIX = "".split(';') if "" != "" else []
PROJECT_NAME = "search_and_rescue_sim"
PROJECT_SPACE_... | [
"Evana13G@gmail.com"
] | Evana13G@gmail.com |
8b26447125e32014c72172e771be247c148428e0 | 4e5ddba389409b4b62444a4eac9903635b57e230 | /rastervision/backend/fastai_utils.py | 1df6d269c2d6389ed6483fbf20a6dceac6cbdc25 | [
"Apache-2.0",
"LicenseRef-scancode-generic-cla"
] | permissive | blessings-h/raster-vision | cc4804e09f8396f861e1fff8bff3e0a4c4f3d048 | 65647c710e668ba59951081faa5f379397185d67 | refs/heads/master | 2021-06-29T18:59:23.823567 | 2021-01-27T02:05:01 | 2021-01-27T02:05:01 | 210,014,893 | 0 | 0 | null | 2019-09-21T16:09:08 | 2019-09-21T16:09:07 | null | UTF-8 | Python | false | false | 10,285 | py | import os
from os.path import join
import zipfile
from typing import Any
import warnings
from fastai.callbacks import CSVLogger, Callback, SaveModelCallback, TrackerCallback
from fastai.metrics import add_metrics
from fastai.torch_core import dataclass, torch, Tensor, Optional, warn
from fastai.basic_train import Lear... | [
"lewfish@gmail.com"
] | lewfish@gmail.com |
2f60ba606f3f3ff16f6ce61b7441c7944a9a3939 | 15f365dc711f2230073391687642498305286321 | /Figure plotting/FIG_3.9c)_maximal allowable radial offset.py | d3495aa3b0b50f74b8be071296dbfa7a96ad2f13 | [] | no_license | Isabelliuqin/Optical_Levitation_Master_project_final | 16d177ee0852361745286d4a5af8eea84aad5845 | 0ebe133a08a84e3c8521b06c6e9eec2584e0b3cc | refs/heads/master | 2023-01-03T13:35:05.753240 | 2020-11-01T10:13:59 | 2020-11-01T10:13:59 | 309,067,970 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,693 | py | # -*- coding: utf-8 -*-
"""
Created on Sun Nov 1 16:31:57 2020
@author: liuqi
"""
import scipy as sp
import numpy as np
from mpl_toolkits.mplot3d import axes3d
import matplotlib.pylab as plt
import scipy.integrate as spi
from scipy.integrate import quad
import seaborn
from scipy.integrate import odei... | [
"qin.liu16@imperial.ac.uk"
] | qin.liu16@imperial.ac.uk |
ddc582e23efc50fe80bbdbcbe3f5ee3bd6e77b02 | e9a7b9815e217759e2ff23a0abd8384d571f322f | /pyenlone/tasks/__init__.py | e4c6462a242397d4bcdbe96743f7af9996a840ed | [
"MIT"
] | permissive | QPotato/pyenlone | 7a1ca0150d474acf092666ac1f29df51289e7512 | b3bb9cc708e1ff247243e9ae48fb62ee284e4b94 | refs/heads/master | 2020-04-28T01:41:39.820679 | 2019-03-10T18:59:39 | 2019-03-10T18:59:39 | 174,867,027 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,473 | py | """
Implements Tasks API methods.
More info on: https://wiki.enl.one/doku.php?id=t_basic_documentation
"""
from typing import List, Optional
from .operation import Operation, OpID, OpType, _fix_op_params
from .task import Task, TaskID, TaskType, TaskStatus, PortalID, \
_fix_task_params
from .._proxy ... | [
"federicobadaloni@hotmail.com"
] | federicobadaloni@hotmail.com |
531ed097cb48be9a70ee62b910a57f827acfa168 | 5209b4ad1f64b41886ab2f53595185eea1fe3dab | /laba 6/13_2.py | 24692784933843814f255c0fea9801b841282376 | [] | no_license | elochka99/LAbs | 74b8b7a68bcdbc8ad7a2de3d9e9eab848564410e | 6d7745a298f0dee055d95839b1f979fa14ca219f | refs/heads/master | 2021-01-09T06:27:50.622635 | 2018-04-03T09:32:22 | 2018-04-03T09:32:22 | 80,990,384 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 1,523 | py | # Горохова Елена КНИТ 16-А
# Дан текстовый файл f. Записать в файл g компоненты файла f
# в обратном порядке, без повторяющихся компонентов.
import random
while True:
try:
b = int(input("Введите количество элементов в файле: "))
file_f = open('f.txt', 'w')
h = list()
for i in range(1... | [
"elochka150899@gmail.com"
] | elochka150899@gmail.com |
3f5c239ed4dab8d99cfb4a67e61997dd3bdeab99 | 1020e655f91b5f3ae5056f3a3006858ddaa92d3a | /modelo2/Script_LoadFiles.py | 8c58f59627bb177295813873948282f0b48f04b6 | [] | no_license | ivomota/Olho-Passarinho | 578200e3c12a4c94c399b0455ef33ed61ca7619c | 5b531aebac3c4914f90586f4f163b42773a5b31d | refs/heads/master | 2021-01-18T11:25:50.284361 | 2014-06-28T13:24:19 | 2014-06-28T13:24:19 | 15,495,323 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,376 | py | import pickle
import numpy as np
from bson import json_util
import json
import itertools
def load(filename, verbose=False):
# Open file
if verbose : print("Loading %s" % filename)
pkl_file = open(filename, 'rb')
# Load from Pickle file.
data = pickle.load(pkl_file)
pkl_file.close()
return... | [
"ifvmota@gmail.com"
] | ifvmota@gmail.com |
9ec1e3c261193a232d7e2a9c5348f74283e9ee2d | 679d4a8966fb516f09b4fd53ffb481159836178a | /Linux/python/bases/BlockList/malwareblacklist/malwareblacklist.py | 40b7caf5974f8997f8aba2fc01ad20cc2e9f0d35 | [] | no_license | dmitry-demin/docus | b72f58becbca0f8e1fb0fd35328f7176dd87705e | 4e64f54ec5b61511cf3130550ca5769b1ab14825 | refs/heads/master | 2021-09-15T02:20:20.505399 | 2018-05-24T09:59:09 | 2018-05-24T09:59:09 | 104,602,839 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,880 | py | import os
import requests
from bs4 import BeautifulSoup
from datetime import datetime
RESULT = []
def geturltext(url):
try:
r = requests.get(url)
except:
return ''
else:
return r.text
def process(text):
soup = BeautifulSoup(text, 'lxml')
table = soup.find(... | [
"d.demin@avsw.ru"
] | d.demin@avsw.ru |
7213a6bdcd1534875dc8bcf1f6be7e772b3ff2a7 | 11c331eca50308526ab603bc8ae7ec92f79f2527 | /05/script.py | b611ff79b1b15a6b08e10538c56f39de21f82cb1 | [] | no_license | ascheets/barba12stepModule | 929e5dbe023c9c118fffbe9310f3473583004e1e | f145b6a423ed0ceb0f218622112ea6714cd96583 | refs/heads/master | 2021-01-10T13:58:19.501494 | 2016-03-08T06:36:19 | 2016-03-08T06:36:19 | 52,310,441 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,358 | py | import numpy as np
import sympy
#from sympy import init_printing #include these when working with a notebook
#init_print(use_latex=True)
from sympy.utilities.lambdify import lambdify
import matplotlib.pyplot as plt
#setting up intial conditions, little more complicated this time...
#setting up symbolic variables
x, ... | [
"ascheets@carthage.edu"
] | ascheets@carthage.edu |
f7ab33d7427455b944e63de21bfa2223d505df3c | edde86a5daa8c91d33e0c79854b476213eb7d2ab | /NeuralNetwork/NN.py | e9545983759855283bb3402c5d14f4e49f3fcad6 | [] | no_license | tsaxena/DataMining | 98d732ba5f8307248af355caed096454ed533b6c | 062653419edb9f6e6741ab856943b04f67736ad2 | refs/heads/master | 2021-01-22T09:32:24.329194 | 2014-03-24T10:31:17 | 2014-03-24T10:31:17 | 17,099,349 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,787 | py | # Back-Propagation Neural Networks
#
# Written in Python. See http://www.python.org/
import math
import random
import string
random.seed(0)
# calculate a random number where: a <= rand < b
def rand(a, b):
return (b-a)*random.random() + a
# Make a matrix (we could use NumPy to speed this up)
def makeMatrix(I,... | [
"tripti.saxena@gmail.com"
] | tripti.saxena@gmail.com |
6e55fa66ccf8d5e6285a3c09ed9d349ae202f5b5 | e8e72708f435459d60fe38bdaf528b8c8be1c10e | /ACDNE_codes/ACDNE_test_citation.py | 9d2e4441ac77e8ca3c342772226dcd12cdf5fca7 | [] | no_license | shenxiaocam/ACDNE | 2842710360aef172505a7d9dc1cfe152c87f9729 | b3cafed35a75c5c087d5b1ad5667a6bfaee19992 | refs/heads/master | 2023-08-25T04:37:39.084778 | 2021-10-31T12:57:57 | 2021-10-31T12:57:57 | 278,086,067 | 16 | 2 | null | null | null | null | UTF-8 | Python | false | false | 2,974 | py | # -*- coding: utf-8 -*-
"""
Created on Mon May 27 18:16:14 2019
@author: SHEN xiao
Please cite our paper as:
"Xiao Shen, Quanyu Dai, Fu-lai Chung, Wei Lu, and Kup-Sze Choi. Adversarial Deep Network Embedding for Cross-Network Node Classification. In Proceedings of AAAI Conference on Artificial Intelligence (AA... | [
"noreply@github.com"
] | noreply@github.com |
68669534022a93c0233112c770390a258c0a4e33 | 7802a0f4753c0e40075613ba51da680a61bcaf57 | /first_half/4main.py | 605940334833a2134f07726555f0e82e30bf54ba | [] | no_license | SHOGO0727/NTTcom_MobProgramming_1215 | cd65052b762aeba76c7aa96197cbb4eac160e096 | 6862ceb6e4cd616b181ffbddf2758914988ae25e | refs/heads/master | 2020-11-24T14:06:17.875744 | 2019-12-15T13:01:59 | 2019-12-15T13:01:59 | 228,184,336 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 858 | py | import csv
#16,16
#32,128
CPU_host = []
Mem_host = []
with open("./hv_list.csv") as f:
reader = csv.reader(f)
for r in reader:
CPU_host.append(int(r[0]))
Mem_host.append(int(r[1]))
print("CPU_host", CPU_host)
print("Mem_host", Mem_host)
while True:
CPU_vm,Mem_vm = map(int,input().split(... | [
"noreply@github.com"
] | noreply@github.com |
3c78c0879f7c9609622997bcf931015ec8e28650 | 245bb90e89d479b27927a06fb3d0fbae29ce6d08 | /JLS731/JLS731/LoadRawData.py | 2e047eae6c3241c61e360743a2ddd2c45eb62013 | [] | no_license | jls731/final_project | 5745b79648f4ac922a702c8797d4f34d48fcb58f | 4e895bd0d15bfdbad58ed39e8c972d544e7b8164 | refs/heads/master | 2020-12-03T02:13:47.576953 | 2015-05-12T01:49:44 | 2015-05-12T01:49:44 | 35,075,441 | 0 | 0 | null | 2015-05-05T03:23:17 | 2015-05-05T03:23:17 | null | UTF-8 | Python | false | false | 1,008 | py | '''
Created by: Joseph Song
Last version on: 5/11/2015
Description: Has the functions needed to load csv, xls, and FRED data.
'''
import pandas.io.data as web
import pandas as pd
import datetime
def loadfreddata(ticker):
'''Loads the FRED Data from the St. Louis Fed Website as a dataframe'''
start = datetime... | [
"jls731@nyu.edu"
] | jls731@nyu.edu |
d5a12a01f55e04a1cee8ab7374e30fd2d4ec25df | 7f9961edb9113250a7890c6a174fca39d6eeafa6 | /read_xls.py | f5ca1becbc37773ee6396a230395f176e5694348 | [] | no_license | memgoon/shelf_map_test | 523179ff2c806884857bdb41bb47757e95061b11 | 51a9b44cf9d84288b75fa73f71ec7c76a165a15c | refs/heads/master | 2021-01-23T20:38:46.906833 | 2015-11-21T07:40:01 | 2015-11-21T07:40:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 752 | py | import xlrd
import os
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'shelf_map.settings')
import django
django.setup()
import shelf_map.models
from django.core.exceptions import ValidationError
def main():
workbook = xlrd.open_workbook('static/1자료실.xlsx')
workbook_index = workbook.sheet_by_index(0)
for... | [
"darkdakku@gmail.com"
] | darkdakku@gmail.com |
88c3528812a6cced3d9be4f57629574a5bd8e20a | e501c170759e929742eb366a65b1bc5a1d3cb915 | /automan/api/projects/storages/models.py | bda66593e4bfe533f40fe03ba4706d9e7745cbac | [] | no_license | tier4/AutomanTools | 75e8062d6ac2cd7c6cfc530ad7d079a9d65f9ca1 | 8053e9a2c2dffc1f444088a3ff7c156f12fe8152 | refs/heads/master | 2023-01-24T12:52:35.286041 | 2021-01-05T08:07:25 | 2021-01-05T08:07:25 | 192,694,079 | 65 | 31 | null | 2023-01-16T17:01:17 | 2019-06-19T08:45:18 | JavaScript | UTF-8 | Python | false | false | 449 | py | # -*- coding: utf-8 -*-
from django.db import models
from django.utils import timezone
from projects.models import Projects
class Storage(models.Model):
storage_type = models.CharField(max_length=45)
storage_config = models.CharField(max_length=511)
created_at = models.DateTimeField(default=timezone.now)... | [
"eiji.sekiya.0326@gmail.com"
] | eiji.sekiya.0326@gmail.com |
7c9dbe37ca506ea5cece40cc3421204f71a0c55f | a9c5d348a96fa960ce17f7c7e8b61062ff1e5a85 | /Day5/Day5Activities.py | 41570900630c99eb627c24027162983f375201cb | [
"BSD-3-Clause"
] | permissive | cdcox/PythonClassScripts | f094155bb25f7bd065b01002203989eafb58db36 | 77c1c22d68f342a0bb380fbda3abb7a903b2e1f7 | refs/heads/master | 2020-05-17T14:38:35.430980 | 2013-07-24T19:58:59 | 2013-07-24T19:58:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,414 | py | # -*- coding: utf-8 -*-
"""
Making pretty python:
0. To get use to the def function return thing,
write a program that asks a user for a number.
Then make function called add_fifty
have it take the number as an input and return
the number as an output.
print the number.
remember to have a if __name__=='__main__':
... | [
"cdcox1@gmail.com"
] | cdcox1@gmail.com |
d3dfcbccc7a497b25c9e010e916922ef1d20cdbe | 2aecf1aa50078047b27589f56fbbff42b483b05b | /magico/juego.py | ee8ddd5cc2220ee0ca6b9df389fd10518d278fe1 | [] | no_license | tabris2015/intro_python_blumbit | e49f2ce760feaa8c2cbf170b78f91807acdb972b | 33def8ddc9b308fa5461af801dd0aef74d8b233a | refs/heads/master | 2022-10-28T00:36:00.706326 | 2020-06-13T22:30:17 | 2020-06-13T22:30:17 | 269,220,872 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,662 | py | from dado import Dado
# juego de dados tiene las siguientes <<reglas>>
# 2-4 jugadores
# en cada turno:
# el jugador lanza los dados
# el juego, termina cuando un jugador llega a 100 puntos
# funcion para verificar el fin del juego
def hay_ganador(dic_jugadores):
for jugador, puntos in dic_jugadores.items():
... | [
"eduardo.laruta@gmail.com"
] | eduardo.laruta@gmail.com |
f84fe04b1883d8c93b41284be4d6b8b5d5034602 | ca739add7863f923013e7b6e1cf7b8bfbc8d8c0c | /source/complementos.py | 043adc447b192e8c79bf9ad7c1e45a1d12489a56 | [] | no_license | PibeDx/plants-vs-zombies-clon | 51992edd6239ecf305528ee64368818b07828097 | 7118a34f286573c0224ed2f15cdcb13bf27493f7 | refs/heads/master | 2021-01-18T08:52:19.661411 | 2012-07-05T06:58:17 | 2012-07-05T06:58:17 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 41,846 | py | from pygame import locals
from engine import pytweener
import sqlite3
from datetime import datetime
from personal import Usuario
from unidades.defensores import *
class MenuPausa(object):
def __init__(self):
self.imagen = engine.cargar_imagen("pausa.png", True)
self.boton_sal = Boton(260, 586, engi... | [
"eyscode@gmail.com"
] | eyscode@gmail.com |
44f66ca709805c87ece0f5ff08c1d8643e76dc1f | 87736a69e11ce7e5750d91e9891169090180ba18 | /virtual/bin/epylint | e3fa4286e1d555ec29e1a75c7f2664337196e555 | [] | no_license | MutumaMutuma/soccer-scout | 16e8cf98f435868b2cb28838fcd7376caa91cc57 | 299b4cb9b8473b94562b5b287e8dbadf5c035034 | refs/heads/master | 2020-03-28T22:36:53.552396 | 2018-09-20T12:48:45 | 2018-09-20T12:48:45 | 149,244,840 | 0 | 0 | null | 2018-09-18T07:15:12 | 2018-09-18T07:15:12 | null | UTF-8 | Python | false | false | 261 | #!/home/zamzam/Documents/soccer-scout/virtual/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from pylint import run_epylint
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(run_epylint())
| [
"lewismutuma1000@gmail.com"
] | lewismutuma1000@gmail.com | |
a0558eff96171575b90ef92a7b59d2a7abd7f87f | f07a42f652f46106dee4749277d41c302e2b7406 | /Data Set/bug-fixing-5/a8ab1a0b200881f52f564d28db90f10730c1f0b5-<latest>-fix.py | 34987d8922650e14b77fd72b4e1557dd3181ede0 | [] | no_license | wsgan001/PyFPattern | e0fe06341cc5d51b3ad0fe29b84098d140ed54d1 | cc347e32745f99c0cd95e79a18ddacc4574d7faa | refs/heads/main | 2023-08-25T23:48:26.112133 | 2021-10-23T14:11:22 | 2021-10-23T14:11:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,811 | py | def latest(module, items, repoq, yum_basecmd, conf_file, en_repos, dis_repos, update_only, installroot='/'):
res = {
}
res['results'] = []
res['msg'] = ''
res['changed'] = False
res['rc'] = 0
pkgs = {
}
pkgs['update'] = []
pkgs['install'] = []
updates = {
... | [
"dg1732004@smail.nju.edu.cn"
] | dg1732004@smail.nju.edu.cn |
a8cf597841bdc78c1f56b1e0b73d9efdcca7b554 | c55bca491632ef98dfd0e39e9e197f86d4ce94f0 | /wcoa/migrations/0019_auto_20200922_1837.py | 6a1b7fb208ec5b9d7b5906ffb04ffb52f40aa3af | [
"MIT"
] | permissive | Ecotrust/wcoa | 420b2e9f03219a72f79e435c1001b87a76233a8b | f6ad1e42fa93560d57043ebeb8464a320befef14 | refs/heads/main | 2023-08-03T21:02:01.013970 | 2023-07-28T22:56:03 | 2023-07-28T22:56:03 | 196,878,615 | 1 | 1 | MIT | 2021-12-09T19:29:37 | 2019-07-14T20:07:39 | Python | UTF-8 | Python | false | false | 395 | py | # Generated by Django 2.2.9 on 2020-09-22 18:37
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('wcoa', '0018_delete_masonrypage'),
]
operations = [
migrations.AlterField(
model_name='catalogiframepage',
name='sou... | [
"ryan.d.hodges@gmail.com"
] | ryan.d.hodges@gmail.com |
07f603f42438f4bf7d83e60cfb810b8fe1dcd1f5 | d3442664e61329eb7f78ec93c3c2f77344e48941 | /assignment_3/q1/q1.py | 63c8d4dc4d69aa4c176a41c75a63bc33135e6c44 | [] | no_license | pranav-sankhe/EE679-Speech-Processing | 6b748a283eb5f634941741e4068ecaf572812b7a | 1d9434006551c024f6846db42243c4a161b8672b | refs/heads/master | 2022-01-25T03:58:33.081064 | 2019-08-26T15:03:27 | 2019-08-26T15:03:27 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,182 | py | from scipy import signal
import numpy as np
import matplotlib.pyplot as plt
from scipy.io import wavfile
import params
F0 = params.F0
sounds = params.sounds
a_den = params.a_den
n_den = params.n_den
i_den = params.i_den
s_den = params.s_den
den = [a_den, n_den, i_den, s_den]
a_num = params.a_num
n_num = params.n_num... | [
"pranavsankhe40@gmail.com"
] | pranavsankhe40@gmail.com |
cf242458a24aa0e1d728ab2e04b7dd8fd4423492 | 29c823ca7aad7122a3ee4dd04360b1118928e34d | /raspberry/samples/feature_extration.py | ebe37ad883590365fe690bb04d7a6a9ce03efc5d | [] | no_license | sdk115/CarAccidentDetect | 9f405761e06cda25ab115b12fed17cdedb2937f0 | bf0bc7794b584bc5333b230958b818e309ddd911 | refs/heads/master | 2021-08-26T08:39:16.800398 | 2017-11-22T17:26:14 | 2017-11-22T17:26:14 | 111,210,917 | 1 | 1 | null | 2017-11-18T16:21:50 | 2017-11-18T14:12:13 | Arduino | UTF-8 | Python | false | false | 386 | py | def average_pooling(sensor_list, window_size, stride):
ret = []
for i in range(len(sensor_list)-window_size+1):
col_len = len(sensor_list[i])
temp = [0] * col_len
for j in range(col_len):
for k in range(window_size):
temp[j]+=sensor_list[i+k][j]
temp... | [
"sdk11594@gmail.com"
] | sdk11594@gmail.com |
cf7c57e1e50ca9d690c84f42ae3f0258e355854a | 3e2593161915670c5586bd600e7e076bbe1a0758 | /dalaoyuanma.py | 3b5d58af9bfc1da703aa11f8a91675643ef93cb4 | [] | no_license | qzylalala/WebSpider | 19f0691b3b05b8650f2f152d36eaaa17e08a0712 | b2d7f143dba6e54322f401251633488b9406fde4 | refs/heads/master | 2020-04-11T01:22:27.457676 | 2019-01-14T12:07:07 | 2019-01-14T12:07:07 | 161,413,126 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,496 | py | import json
import requests
from requests.exceptions import RequestException
import re
import time
def get_one_page(url):
try:
headers = {'Users-Agent': 'Mozilla/5.0(Macintosh;Intel Mac OS X\
10_13_3) AppleWebKit/537.36 (KHTML,like Gecko)\
Chrome/65.0.3325.162 safari/537.36'}
re... | [
"304228244@qq.com"
] | 304228244@qq.com |
a7e0820a5a2af18ff40dff28e75c2e8cf876f08e | 94fe6bd54ba15f44569641acf5f3655d8eda1783 | /src/run_regressor.py | 91b5d444406a4867d9736f7930cc5091a76c28eb | [
"MIT"
] | permissive | grey-eye/gpt-2 | e94915bff8badf9e188fd67745c3b5ab4bdbce8d | 40030059768719eca0c700ab521adf70b9d0656c | refs/heads/master | 2022-01-18T00:55:27.344689 | 2019-07-18T00:03:24 | 2019-07-18T00:03:24 | 192,074,933 | 0 | 0 | null | 2019-06-15T12:15:06 | 2019-06-15T12:15:06 | null | UTF-8 | Python | false | false | 5,164 | py | import functools
import argparse
import json
import tensorflow as tf
import os
import model
import encoder
import pandas as pd
import numpy as np
def generate_data(mode):
def pad(encoding):
padlen = args.len_seq-len(encoding)
encoding.extend([220]*padlen)
return encoding
enc = encoder.... | [
"niels@grey-eye.net"
] | niels@grey-eye.net |
4d60520fd2eac336a9b98ec30e875ee9fa9e75f8 | 74e75430e4ca2bf422017c7035580ae973c2c42e | /test/functional/p2p_time_offset.py | 00912448b5da04489c15731b40645ded3020428e | [
"MIT"
] | permissive | j00v/Lightcoin | 9e55bad2d3e38f4c3781f62f915828cde0e51bc9 | a8555320bebbf95545bc8c2841f1fadc38f5bd53 | refs/heads/main | 2023-05-09T07:13:28.031313 | 2021-06-08T22:11:45 | 2021-06-08T22:11:45 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,966 | py | #!/usr/bin/env python3
# Copyright (c) 2019-2020 The Lightcoin developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
import time
from test_framework.test_framework import LightcoinTestFramework
from test_framework.util impor... | [
"Lightcoindev@gmail.com"
] | Lightcoindev@gmail.com |
f140ce1797948b2c124c84af0dac0f6967d36be2 | 8d5523b62fe7459afec54c56614d1baf7815fff7 | /main.py | a515bb4b99a5e88c241e3c62321ef01a4b642748 | [] | no_license | heavyii/python-httpserver | 520c062d98223fdfa0d1aa820e60b5c250d78e51 | 3b0c05d55462188d7ca4389210e28247657ce1b6 | refs/heads/main | 2023-04-13T03:54:30.858675 | 2021-04-07T08:09:26 | 2021-04-07T08:09:26 | 355,463,617 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 892 | py | #!/usr/bin/env python
from bottle import get, post, request, run, static_file, redirect
import json
"""
@apiDefine jsonRequest
@apiHeader {String} Content-Type=application/json
"""
## 首页
@get('/')
def index():
redirect('/static/index.html')
## 静态文件
@get('/static/<filepath:path>')
def server_static(filepath):
... | [
"linruisheng@seeklane.com"
] | linruisheng@seeklane.com |
ad5d88daef36ed25257d10be732b9c0e3104e120 | f46231564d2c4cdb44774935316a204f617731e4 | /Week3/day1/single_riffle_shuffle.py | 53e81704ae22e9fe83edc24d2dff2ea1df5c7449 | [] | no_license | shravan090/competitiveprograming | a99983e4351f19afbcfcec2d4f2dc5ae5138fdee | 21cc064ba44b73cef7838f901bc47db743470f66 | refs/heads/master | 2020-03-21T15:49:26.402912 | 2018-07-21T09:32:31 | 2018-07-21T09:32:31 | 138,735,069 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,256 | py | import unittest
def is_single_riffle(half1, half2, shuffled_deck):
# Check if the shuffled deck is a single riffle of the halves
h1 = 0
h2 = 0
for card in shuffled_deck:
if h1 < len(half1) and card == half1[h1]:
h1 += 1
elif h2 < len(half2) and card == half2[h2]... | [
"noreply@github.com"
] | noreply@github.com |
7ee2ac071830c965bed30bdaaa123fe1578c40b9 | d69bbe98028d75aa14892d1f74c7bb7fa6ed572a | /D3SManager.py | 8bb9c06de5abc3319130f5ec87c5d233d5e2a75e | [] | no_license | dvi31/PyDxS | 0df055094b9c4f58f94ed9595b5b03241c265b5a | 2cd4fb13d10dbc65c40c8ed8270dc1de71ff909b | refs/heads/master | 2020-07-06T01:43:54.788171 | 2015-08-21T09:32:07 | 2015-08-21T09:32:07 | 40,010,322 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,147 | py | #!/usr/bin/python2.7
import base64, uuid, hashlib, time, os
import logging
import D3SCaller
from suds.client import Client
from suds.sax.attribute import Attribute
from httpslib import HTTPSClientCertTransport
import urlparse, urllib
from suds.plugin import MessagePlugin
class D3SSecretManager():
def __init__(sel... | [
"i2165aq@FP216530.intra.bdf.local"
] | i2165aq@FP216530.intra.bdf.local |
3436db72180129f031c11512a0200f9269428f46 | eaafd553be05babfb061737d0216fac86cfe6d12 | /triangePascal.py | 1b1af83096f09db5733cff66772c1f25ade1410e | [] | no_license | margauxln/kata | ee2a9311a937a9626a559462fa5d8f08381c3fb0 | a8a47dbb4d89d854f20790715ab680a0fdaaf189 | refs/heads/master | 2023-02-07T17:09:19.167942 | 2021-01-04T14:05:56 | 2021-01-04T14:05:56 | 326,702,964 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 507 | py | lineNumber=10
triangle = []
for j in range(lineNumber):
newline=[]
for i in range(len(triangle)+1) :
if i == 0 or i == len(triangle):
newline.append(1)
else:
newline.append(triangle[len(triangle)-1][i-1]+triangle[len(triangle)-1][i])
triangle.append(newline)
for lin... | [
"margaux.lennebonety@gmail.com"
] | margaux.lennebonety@gmail.com |
b709bf38b7de50baf8f706feed37e75970d6808f | e090c02718e8df08579dd97929dc23f54d9009c3 | /sample6.py | 86148ae5781bdb308a9bfc85095aaac254f7b15b | [] | no_license | devapandu/Python | 1c23d84c72eacefc98f77daa46db7586286df706 | 6f753d6cdff5021943a99dd55ae4b8297111d104 | refs/heads/master | 2020-06-13T09:37:20.815726 | 2019-07-04T05:24:41 | 2019-07-04T05:24:41 | 194,615,780 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 87 | py | year =int(input())
if year%4 ==0 and year%100!=0:
print("yes")
else:
print("no")
| [
"noreply@github.com"
] | noreply@github.com |
f3eb20c56fcb02809c305f06878aaed2f5362d30 | bb81c12c2d391a8d18073d8fef055a9893655e60 | /funcif/exercise3.24.py | 239c40b7f8a7d21937116e142cb7b0e77a932671 | [] | no_license | georgkuenze/ScientificComputingPython | 77dc06a55e2daecb64c6d6a37d1235661993bbed | 89b475578753660d48d868e37fa063076a176c1d | refs/heads/master | 2021-01-10T11:19:55.508164 | 2016-02-03T23:48:12 | 2016-02-03T23:48:12 | 51,037,498 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 855 | py | # -*- coding: utf-8 -*-
"""
Created on Wed Jul 08 09:18:01 2015
@author: Georg
"""
import numpy as np
import matplotlib.pyplot as plt
# Define smoothed heaviside function
def H_eps(x, eps):
if x < -eps:
return 0
elif -eps <= x <= eps:
return 0.5 + x/(2.*eps) + 1/(2*np.pi)*np.sin((np.pi*x)/eps... | [
"georg.kuenze@vanderbilt.edu"
] | georg.kuenze@vanderbilt.edu |
870e8b785f33924cc5c5a2cc48d349e22e6060a0 | f88e65488ecd08ea0da5372dc49efe6c5439a13c | /raspberry/GXclassify/ApiGateway-python-sdk-2.0.4/backend_signature.py | e5f06250490d24489159bef45ac31419f72367eb | [] | no_license | Emoic/Garbage-classification | 2eb5f9755ec505d3d9bf8d8536d5e4f62b504f76 | 9de75fd2dd36f917a6e822f7d5f8af8684a84b37 | refs/heads/main | 2023-03-26T12:18:45.541396 | 2021-03-24T07:58:56 | 2021-03-24T07:58:56 | 350,977,722 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,974 | py | from flask import Flask
from flask import request
from functools import wraps
import re
from datetime import datetime
from datetime import timedelta
from apig_sdk import signer
app = Flask(__name__)
def requires_apigateway_signature():
def wrapper(f):
secrets = {
"signature_key1": "signature... | [
"noreply@github.com"
] | noreply@github.com |
796fde6069383ef7c30b2222a559bbe8bc28b294 | ab09c04f237cb83d581f7b50b6ff2ab1688497c9 | /myROI_tracker.py | 133cec9dea02daea9126f4792a46c79ddd40eb1e | [] | no_license | minaf/HW1-assignment4 | db283f32b63f40f374e5f8410c4b9edffc70409b | 30405ab081a2699ac4150a0bc99d3e501343f7dc | refs/heads/master | 2020-03-06T20:20:52.513557 | 2018-03-28T06:25:50 | 2018-03-28T06:25:50 | 127,050,901 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,456 | py | import numpy as np
import cv2
from calculateKLT import calculateKLT
#cap = cv2.VideoCapture(0) #for tracking object from webcam
cap = cv2.VideoCapture('sailing_boat.mp4')
# Create some random colors
color = np.random.randint(0,255,(100,3))
# Take first frame and find corners in it
ret, old_frame = cap.read()
old_gr... | [
"minaferizbegovic@gmail.com"
] | minaferizbegovic@gmail.com |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.