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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f6b334de835c54ff274cbcae4e9c5b5691a10e1e | 45f93a9d47204d76b8bf25a71dfb79403e75c33c | /Threading/long-running-thread.py | 3222c862dc2c304516b29971b5c97a2bdb95d5e9 | [] | no_license | tahmid-tanzim/problem-solving | 0173bce1973ac3e95441a76c10324c0e1b0a57c3 | 6ddb51de6772130f209474e76f39ca2938f444f0 | refs/heads/master | 2023-06-25T02:18:03.690263 | 2023-06-20T06:58:46 | 2023-06-20T06:58:46 | 137,173,850 | 4 | 1 | null | 2022-03-30T08:28:41 | 2018-06-13T06:44:25 | Python | UTF-8 | Python | false | false | 756 | py | from threading import Timer
import time
def heartbeat_tick():
current_time = time.strftime("%H:%M:%S", time.localtime())
print('im ok ' + current_time)
def heartbeat_tick2():
current_time = time.strftime("%H:%M:%S", time.localtime())
print('im very good ' + current_time)
class RepeatingTimer(Timer... | [
"tahmid.tanzim@gmail.com"
] | tahmid.tanzim@gmail.com |
d1659d658ee81928f513e875f7d9f2e78a75d540 | 4b7e282fe480415f5d52c0fc0429f144156190fe | /google/ads/googleads/v7/services/services/ad_group_service/transports/base.py | ce6b4b5bb906932a8cc9e5393ecafc79ed352104 | [
"Apache-2.0"
] | permissive | Z2Xsoft/google-ads-python | c4750357bb19da91bb3b6bf2fa84bef9d2df36d3 | 1779d52a0446c8afb2437b0a9e103dcb849f5590 | refs/heads/main | 2023-08-18T15:22:17.840364 | 2021-09-26T04:08:53 | 2021-09-26T04:08:53 | 410,444,398 | 0 | 0 | Apache-2.0 | 2021-09-26T04:08:53 | 2021-09-26T03:55:38 | null | UTF-8 | Python | false | false | 3,978 | py | # -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | [
"noreply@github.com"
] | Z2Xsoft.noreply@github.com |
62d51938566b1760ee0a7773969750876072c711 | a03b30ee77b49e19a72b647e984b98f878c2847a | /Anaconda-files/Program_1d.py | b629bba7ac959034d527e2162c17ccbb88a23184 | [
"BSD-2-Clause"
] | permissive | SSalaPla/dynamical-systems-with-applications-using-python | d47f46dfbe7195d2446cdee7f874cc3e4a5ab90a | c80582ae3559230d12e2aee15f94c465e367fdda | refs/heads/master | 2021-05-03T16:00:31.561907 | 2018-02-05T15:16:13 | 2018-02-05T15:16:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 650 | py | # Program 1d: Subplots.
# See Figure 1.15.
import matplotlib.pyplot as plt
import numpy as np
def f(t):
return np.exp(-t) * np.cos(2*np.pi*t)
t1=np.arange(0.0,5.0,0.1)
t2=np.arange(0.0,5.0,0.02)
plt.figure(1)
plt.subplot(211) #subplot(num rows,num cols,fig num)
plt.plot(t1,f(t1),'bo',t2,f(t2),'k',label='dampin... | [
"samuel.dibella@gmail.com"
] | samuel.dibella@gmail.com |
1e0810823638b12185d64ebe70744a50b7bdcd48 | 717ae7ee216675ba0fb31358000dde3d2fc11c5c | /chart_of_accounts_builder/config/desktop.py | 598a493fd9079f73d008fdb162af58221aa05684 | [
"MIT"
] | permissive | sihaysistema/chart_of_accounts_builder | 7cf2bfb23eeb254d89b083dccd146fc60736eb9b | 23a94ddbdae4a36c6d318e148c47e68a36eb177b | refs/heads/master | 2020-05-31T21:16:47.958250 | 2019-06-06T15:31:48 | 2019-06-06T15:31:48 | 190,494,216 | 1 | 0 | null | 2019-06-06T01:35:37 | 2019-06-06T01:35:37 | null | UTF-8 | Python | false | false | 281 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from frappe import _
def get_data():
return {
"Chart Of Accounts Builder": {
"color": "grey",
"icon": "octicon octicon-file-directory",
"type": "module",
"label": _("Chart Of Accounts Builder")
}
}
| [
"rmehta@gmail.com"
] | rmehta@gmail.com |
6fd9f40b3a240f53ce47870b44e87e64f7bffccf | c9273bbb39b2f9bade816ae0d4d57ba664f599c7 | /setup.py | 1858551b34353e1bcc19f247f13c75e79207cc58 | [] | no_license | alunduil/singularity | 0eaefdbee20880146cd07fae7445387c16ab861b | 600f864628743472226755ad0fe7a4c7a0d2ef28 | refs/heads/master | 2021-01-21T11:45:16.242749 | 2014-06-22T17:01:03 | 2014-06-22T17:01:03 | 5,211,203 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,874 | py | # Copyright (C) 2012 by Alex Brandt <alunduil@alunduil.com>
#
# singularity is freely distributable under the terms of an MIT-style license.
# See COPYING or http://www.opensource.org/licenses/mit-license.php.
from distutils.core import setup
try:
from singularity import information
from singularity import he... | [
"alunduil@alunduil.com"
] | alunduil@alunduil.com |
36fe5a2469a8db223fcc5567527737d6653e366c | d488f052805a87b5c4b124ca93494bc9b78620f7 | /google-cloud-sdk/.install/.backup/lib/surface/container/clusters/get_iam_policy.py | 6e672f702942bf58fceb409a2804549e7be639d2 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | permissive | PacktPublishing/DevOps-Fundamentals | 5ce1fc938db66b420691aa8106ecfb3f9ceb1ace | 60597e831e08325c7e51e8557591917f7c417275 | refs/heads/master | 2023-02-02T04:48:15.346907 | 2023-01-30T08:33:35 | 2023-01-30T08:33:35 | 131,293,311 | 13 | 19 | null | null | null | null | UTF-8 | Python | false | false | 1,625 | py | # Copyright 2018 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 ag... | [
"saneetk@packtpub.com"
] | saneetk@packtpub.com |
6161a504a113f3319583c244962a422646113b54 | 5bd1381e5515061b4fdd7284f80f89d0aad3c4e6 | /www/unicooo/views.py | 06970d5519d28f80bee6c5af73a4a63d6bec5113 | [] | no_license | Windsooon/Unicooo-django | 1c1a7643151dffc15cea6ff94b9a80453d1fcfb2 | 7db3f2807bc4802b686f1a4d6bd6fd5b7436611b | refs/heads/master | 2022-12-21T11:16:22.855365 | 2017-12-09T09:24:01 | 2017-12-09T09:24:01 | 47,067,358 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 195 | py | from django.shortcuts import render
def front_page(request):
return render(request, "frontpage.html")
def public_activities(request):
return render(request, "public_activities.html")
| [
"wiwindson@outlook.com"
] | wiwindson@outlook.com |
705a4ea02f2b08df2528ae1bb2b39cb9b998c9bd | 28ca060efe83304c6174c3411cd9105537adf6bd | /fs_image/rpm/tests/test_rpm_metadata.py | dba5130b5b6b441078f54df13cb8562ac0f85bf7 | [
"MIT"
] | permissive | singhaditya28/fs_image | 6eee93a3663f36894f2e26efef9f2f961f11d76b | 3d122da48eab8b26e5add6754cc1f91296139c58 | refs/heads/master | 2022-09-25T04:52:58.206356 | 2020-06-05T18:27:39 | 2020-06-05T18:29:57 | 269,931,605 | 0 | 0 | MIT | 2020-06-06T09:24:29 | 2020-06-06T09:24:28 | null | UTF-8 | Python | false | false | 5,792 | py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import importlib.resources
import os
import re
import shutil
import unittest
from fs_image.fs_utils import temp_dir
fr... | [
"facebook-github-bot@users.noreply.github.com"
] | facebook-github-bot@users.noreply.github.com |
0f7f483f687b8b4897064f7ac52ff924a951cd9d | 53fab060fa262e5d5026e0807d93c75fb81e67b9 | /backup/user_321/ch14_2020_03_02_17_36_10_914758.py | e0c3dc8afc80fcd598ed32def9202927e6ac0a30 | [] | no_license | gabriellaec/desoft-analise-exercicios | b77c6999424c5ce7e44086a12589a0ad43d6adca | 01940ab0897aa6005764fc220b900e4d6161d36b | refs/heads/main | 2023-01-31T17:19:42.050628 | 2020-12-16T05:21:31 | 2020-12-16T05:21:31 | 306,735,108 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 159 | py | import math
def calcula_distancia_do_projetil (v,o,y):
return (math.pow(v,2)/2*9.8)*(1+math.sqrt(1+(2*9.8*y)/math.pow(v,2)*math.sin(o)**2))*(math.sin(2*o)) | [
"you@example.com"
] | you@example.com |
2af32f7a4d9ae29e4db70a69549fc1bbab5cd4ac | b59f66a9c4b5492b95c767b7ca76cd026f6f572a | /aac/metrics/rouge_l.py | 33b0b9c2183a7a51bf1d84b3ce3d73b265416c3c | [] | no_license | Labbeti/dcase2021task6 | b50f51370af15c241bd9f257920e2df4bc925669 | 2e792749bd9b2a495fa4b870f6190f6fb389fc56 | refs/heads/main | 2023-06-11T07:10:50.179348 | 2021-07-05T09:28:11 | 2021-07-05T09:28:11 | 377,414,427 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,048 | py |
from rouge_metric import PyRouge
from torch.nn import Module
class RougeL(Module):
def __init__(self):
"""
Recall Oriented Understudy of Gisting Evaluation.
Output values are in range [0, 1]. Higher is better.
Use 'rouge-metric' package as backend.
Original paper: https://www.aclweb.org/anthology... | [
"etienne.labbe31@gmail.com"
] | etienne.labbe31@gmail.com |
fdd57a47de5f55ea470232da56fddf9705ce85ae | d442044fca0cb5c2102845c93194246273b3778b | /event_participant_labels/event_participant.py | fa3118b33c26f27f76ace611464af7b6d91e8720 | [] | no_license | vertelab/odoo-event-extra | f9d0ee7ac5140ee2cbcb15fbb7af61d1772aaa2e | 63dd0b981b23941bae18d2d968b34a7977bc7699 | refs/heads/master | 2022-07-09T00:26:50.416313 | 2020-07-01T15:28:58 | 2020-07-01T15:28:58 | 47,540,528 | 2 | 3 | null | null | null | null | UTF-8 | Python | false | false | 1,562 | py | # -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution, third party addon
# Copyright (C) 2004-2016 Vertel AB (<http://vertel.se>).
#
# This program is free software: you can redistribute it and/or modify
# it under... | [
"anders.wallenquist@vertel.se"
] | anders.wallenquist@vertel.se |
2c2813d3ae5577ac8185b8e3feff5f018541b05e | 35b59ea3b2800b170f82ccec229c88e102e1f4bd | /calculator/codes/solution/pythonprogs/calc_mul.py | 30e609967c7df02a1c063aeb0c570826c1787858 | [] | no_license | gadepall/LA1400 | efcc47c708efee9bebe8db415cd80997db64e834 | bbdccf26b2f1c6a40325c139e8e406f923eb023f | refs/heads/master | 2020-03-24T16:32:50.508068 | 2018-07-30T05:14:02 | 2018-07-30T05:14:02 | 142,827,762 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,687 | py | #-*-coding: utf-8-*-
#Don't remove the above line
#This program uses a C routine for multiplication
#in the calculator. Other arithmetic operations are not included.
from Tkinter import *
from ctypes import *
import math
class calc:
def getandreplace(self):
"""replace x with * and ÷ with /"""
self.expressi... | [
"gadepall@gmail.com"
] | gadepall@gmail.com |
484d13dc81d16a486d91bb29c9c89c4680416a38 | f8933a29319d9062b3f0070d133b9e533efbbc50 | /trilpy/ldpnr.py | 75544f25ee6722c4f87c617177f690c39f7b0b18 | [] | no_license | zimeon/trilpy | 13c999eb164c0a935abfdd4c94a7ab842c53cf67 | 825bd803ed5e5d7b6c906067a4c406a4db18c9c6 | refs/heads/master | 2021-01-16T23:24:39.374726 | 2018-07-24T03:28:09 | 2018-07-24T03:28:09 | 95,748,971 | 1 | 2 | null | 2018-02-07T20:39:00 | 2017-06-29T07:07:14 | Python | UTF-8 | Python | false | false | 771 | py | """An LDPNR - LDP Non-RDF Source."""
from .ldpr import LDPR
from .namespace import LDP
class LDPNR(LDPR):
"""LDPNR - A binary object.
An LDPR whose state is not represented in RDF. For example,
these can be binary or text documents that do not have useful
RDF representations.
See <https://www.w3... | [
"simeon.warner@cornell.edu"
] | simeon.warner@cornell.edu |
8968aa043a78587dbecbfc6589d1382d05f98626 | 814992618962991b1b6dd6f1cdf2853687cbfcd0 | /quantarhei/qm/propagators/svpropagator.py | e235da8d523f349c30ad53ed9290882148e6a24d | [
"MIT"
] | permissive | MichalPt/quantarhei | a5db7916405236dc78778e4ef378141a19a28ff2 | 536d4f39bb7f7d6893664520351d93eac2bc90f1 | refs/heads/master | 2022-12-15T09:36:53.108896 | 2022-07-28T09:44:12 | 2022-07-28T09:44:12 | 226,359,238 | 1 | 0 | MIT | 2019-12-06T15:37:24 | 2019-12-06T15:37:23 | null | UTF-8 | Python | false | false | 2,624 | py | # -*- coding: utf-8 -*-
"""
StateVector propagator
"""
import numpy
from .statevectorevolution import StateVectorEvolution
from ..hilbertspace.evolutionoperator import EvolutionOperator
from ... import REAL
class StateVectorPropagator:
def __init__(self, timeaxis, ham):
self.timeaxis = ... | [
"tmancal74@gmail.com"
] | tmancal74@gmail.com |
f7c48c6551b9cc700832df0bd94985a171d283a6 | 8c643886e810f09a2c596066911300ceec64605b | /exercises/chapter03/data/simple2_solution.py | ad2ae388f43b368e5a606e792400b47e8732cef7 | [
"MIT"
] | permissive | matt-gardner/test-allennlp-course | fea62c18c983e5a76927a2e8b97ba30081f6838a | 15b18144c30cfcdbe9acf5ad9bb30e24f6522d11 | refs/heads/master | 2023-01-28T05:10:03.787036 | 2019-06-13T20:16:12 | 2019-06-13T20:16:12 | 191,823,476 | 6 | 1 | MIT | 2023-01-11T20:28:39 | 2019-06-13T19:44:21 | CSS | UTF-8 | Python | false | false | 1,214 | py | from allennlp.data.fields import TextField
from allennlp.data.token_indexers import SingleIdTokenIndexer, TokenCharactersIndexer
from allennlp.data.tokenizers import WordTokenizer, CharacterTokenizer
from allennlp.data import Vocabulary
# Splits text into characters (instead of words or wordpieces).
tokenizer = Charac... | [
"mattg@allenai.org"
] | mattg@allenai.org |
4e618625235505db5cacd9c840d94bebff946ac7 | 75d8667735782cd1d0eb4877e52c89da5cd92dde | /nova/scheduler/driver.py | da8568c970018cf13ea07a0bcacab608bf2c9ac6 | [
"Apache-2.0"
] | permissive | bopopescu/nova-token | ffecfd3ec561936b7d9d7e691bc57383cde05436 | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | refs/heads/master | 2022-11-22T09:53:31.073483 | 2016-05-14T02:47:01 | 2016-05-15T22:02:55 | 282,105,621 | 0 | 0 | Apache-2.0 | 2020-07-24T02:42:19 | 2020-07-24T02:42:18 | null | UTF-8 | Python | false | false | 4,264 | py | begin_unit
comment|'# Copyright (c) 2010 OpenStack Foundation'
nl|'\n'
comment|'# Copyright 2010 United States Government as represented by the'
nl|'\n'
comment|'# Administrator of the National Aeronautics and Space Administration.'
nl|'\n'
comment|'# All Rights Reserved.'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# Lice... | [
"dmg@uvic.ca"
] | dmg@uvic.ca |
3aa77a9c0f183d217f06a630f4191d7fb841a73d | ca3ff0bc4f7e9e8fcf677afa3a1a18dd2129a5d4 | /daily_problems/problem_0_to_100/problem_86.py | 42defc172f8b8a0ea3af081435c7fda161acd383 | [
"MIT"
] | permissive | rrwt/daily-coding-challenge | d9b23a82a1a3c4824b8f1aeacf6584afc5189ce7 | 4dcd59eaff021be0b9b1aba1dda73248c81454b7 | refs/heads/master | 2022-05-29T04:32:44.406196 | 2022-05-25T01:12:01 | 2022-05-25T01:12:01 | 181,972,357 | 1 | 0 | MIT | 2021-04-20T19:58:43 | 2019-04-17T21:41:25 | Python | UTF-8 | Python | false | false | 1,125 | py | """
Given a string of parentheses, write a function to compute the minimum number of parentheses
to be removed to make the string valid (i.e. each open parenthesis is eventually closed).
For example,
given the string "()())()", you should return 1.
Given the string ")(", you should return 2, since we must remo... | [
"rohitrawat2000@gmail.com"
] | rohitrawat2000@gmail.com |
42ea4f4a66ce8ed2ede113d9666e461fe30a5244 | af43615e07f2bfaa908d6d96b4c90f98ce3ad47b | /rdr_service/lib_fhir/fhirclient_1_0_6/models/deviceusestatement.py | 642e4f165a8b132be219bba1db9b4de5dc7ab412 | [
"BSD-3-Clause"
] | permissive | all-of-us/raw-data-repository | 11aa25385543f5f8ef706663b79ce181775c1c9a | 461ae46aeda21d54de8a91aa5ef677676d5db541 | refs/heads/devel | 2023-09-01T06:47:25.710651 | 2023-09-01T01:18:56 | 2023-09-01T01:18:56 | 66,000,771 | 46 | 22 | BSD-3-Clause | 2023-09-14T21:06:38 | 2016-08-18T13:47:08 | Python | UTF-8 | Python | false | false | 3,846 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Generated from FHIR 1.0.2.7202 (http://hl7.org/fhir/StructureDefinition/DeviceUseStatement) on 2016-06-23.
# 2016, SMART Health IT.
from . import domainresource
class DeviceUseStatement(domainresource.DomainResource):
""" None.
A record of a device bei... | [
"noreply@github.com"
] | all-of-us.noreply@github.com |
316f82491c8f735a152f72a405f04e15d34d706e | 0cf054b1740339b22d3211695e44e11e68c81328 | /suggestion/analysis_util.py | d03d3e3988a20faeabe5cc43261d257a8d83659e | [
"LicenseRef-scancode-warranty-disclaimer",
"MIT"
] | permissive | kcarnold/sentiment-slant-gi18 | 076aaf557c8e33c84349f78a883c0fa3210e9ada | 6028b42627e3eec14a1f27986f8925d8b1e6ad9c | refs/heads/master | 2022-07-01T10:20:50.314847 | 2017-09-13T23:03:14 | 2017-09-13T23:03:14 | 125,105,730 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,623 | py | import os
try:
import ujson as json
except ImportError:
import json
import re
import numpy as np
from suggestion.util import mem
from suggestion.paths import paths
import subprocess
#
# Data for decoding surveys.
#
skip_col_re = re.compile(
r'Great.job|Q_\w+|nextURL|clientId|Timing.*|Browser.*|Location.*|... | [
"kcarnold@alum.mit.edu"
] | kcarnold@alum.mit.edu |
04aa06f4bac7b7bbb2b7030e09e1f27f1ed8fde4 | 6206ad73052b5ff1b6690c225f000f9c31aa4ff7 | /Code/Reshape the Matrix.py | 360911bc17af54a593ab369ee1c177df5d68cbb7 | [] | no_license | mws19901118/Leetcode | 7f9e3694cb8f0937d82b6e1e12127ce5073f4df0 | 752ac00bea40be1e3794d80aa7b2be58c0a548f6 | refs/heads/master | 2023-09-01T10:35:52.389899 | 2023-09-01T03:37:22 | 2023-09-01T03:37:22 | 21,467,719 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,005 | py | class Solution:
def matrixReshape(self, mat: List[List[int]], r: int, c: int) -> List[List[int]]:
m, n = len(mat), len(mat[0]) #Get dimensions.
if m * n != r * c: #If total number of elements do not match, cannot reshape so return mat.
... | [
"noreply@github.com"
] | mws19901118.noreply@github.com |
778b02ce1304dfc64f45b5c82dc3ad7d820143a9 | bad62c2b0dfad33197db55b44efeec0bab405634 | /sdk/recoveryservices/azure-mgmt-recoveryservicesbackup/azure/mgmt/recoveryservicesbackup/activestamp/aio/operations/_job_operation_results_operations.py | 669fb507126bbbd85b124e09a62c97d867745408 | [
"MIT",
"LicenseRef-scancode-generic-cla",
"LGPL-2.1-or-later"
] | permissive | test-repo-billy/azure-sdk-for-python | 20c5a2486456e02456de17515704cb064ff19833 | cece86a8548cb5f575e5419864d631673be0a244 | refs/heads/master | 2022-10-25T02:28:39.022559 | 2022-10-18T06:05:46 | 2022-10-18T06:05:46 | 182,325,031 | 0 | 0 | MIT | 2019-07-25T22:28:52 | 2019-04-19T20:59:15 | Python | UTF-8 | Python | false | false | 4,956 | py | # pylint: disable=too-many-lines
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRe... | [
"noreply@github.com"
] | test-repo-billy.noreply@github.com |
aa9712bce0f3ef3690bb9a42fab492d7fae1aaf2 | 5332fef91e044555e605bb37cbef7c4afeaaadb0 | /hy-data-analysis-with-python-spring-2019-OLD/part01-e04_multiplication_table/src/multiplication_table.py | aa3628c78721753935ebdfc0a18b3e1524ce97a2 | [] | no_license | nopomi/hy-data-analysis-python-2019 | f3baa96bbe9b6ee7f0b3e6f6b8b0f3adfc3b6cc8 | 464685cb377cfdeee890a008fbfbd9ed6e3bcfd0 | refs/heads/master | 2021-07-10T16:16:56.592448 | 2020-08-16T18:27:38 | 2020-08-16T18:27:38 | 185,044,621 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 191 | py | #!/usr/bin/env python3
def main():
for i in range(1,11):
for j in range(1,11):
print(str(i*j)+'\t', end="")
print('')
if __name__ == "__main__":
main()
| [
"miska.noponen@gmail.com"
] | miska.noponen@gmail.com |
24a21563e8b0f54b4f865519a0221f033b7f345c | 2ab759b4796e36cee89df3718b7042eb527e4b26 | /args.py | 2ad011c5c0ff5f89e7e555c02e1b52b469c6fbe4 | [
"Apache-2.0"
] | permissive | zhangjunjieGit/bert-utils | b78d289effedfa64716219b771a370c410f3d066 | 7142632ea6b2e6656a2873a60971dbf7330f9550 | refs/heads/master | 2020-08-22T06:47:33.103393 | 2019-10-20T09:58:54 | 2019-10-20T09:59:05 | 216,340,794 | 1 | 0 | Apache-2.0 | 2019-10-20T10:00:53 | 2019-10-20T10:00:53 | null | UTF-8 | Python | false | false | 748 | py | import os
import tensorflow as tf
tf.logging.set_verbosity(tf.logging.INFO)
file_path = os.path.dirname(__file__)
model_dir = os.path.join(file_path, 'chinese_L-12_H-768_A-12/')
config_name = os.path.join(model_dir, 'bert_config.json')
ckpt_name = os.path.join(model_dir, 'bert_model.ckpt')
output_dir = os.path.join(... | [
"zjiuzhou@gmail.com"
] | zjiuzhou@gmail.com |
399eeab0b7aac90ad1fbae0cecd4ca49be31ec81 | 7437b9482592119dd6b4fc78706fed1c7c7df89f | /modules/neighbour_covariance_op.py | 520f8756b84359cebb69699864b5c50b00d2df88 | [
"BSD-3-Clause"
] | permissive | cms-pepr/HGCalML | 163c5f2b0ca1079003628b5a53a4aee2305fb3e9 | d28477501d93992d25c22b7d5c355a3da3bffa5c | refs/heads/master | 2023-08-31T03:33:31.294369 | 2023-05-10T15:51:59 | 2023-05-10T15:51:59 | 236,987,707 | 11 | 13 | BSD-3-Clause | 2023-08-08T12:43:50 | 2020-01-29T13:25:18 | Python | UTF-8 | Python | false | false | 1,973 | py |
import tensorflow as tf
from tensorflow.python.framework import ops
from accknn_op import AccumulateKnn
def NeighbourCovariance(coordinates, distsq, features, n_idxs):
'''
expands to V x F x C**2, but not in the neighbour dimension
Feed features without activation!
'''
fea... | [
"jkiesele@cern.ch"
] | jkiesele@cern.ch |
d7552e3b106bb7b596621fa2810ed985b0175dd9 | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p03013/s787334180.py | 28e033a57e8473172944172d8c1031ab7c555e8e | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 324 | py | N, M = map(int, input().split())
if N == 1:
print(1)
else:
s = [-1] * N
s[0] = 1
s[1] = 1
for m in range(0, M):
i = int(input())
s[i] = 0
for n in range(2, N):
if s[n] == 0:
continue
s[n] = s[n - 1] + s[n - 2]
print((s[N-1] + s[N-2]) % 10000000... | [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
ab08ca6833912ff2321dd2234faded534afab1ab | c13ccf912360f02010f3185dc29f3e72205984dd | /Hauz/migrations/0015_auto_20180119_0824.py | a94915c8159be33de7285c6226946eca01f3f871 | [
"MIT"
] | permissive | VirginiaNdungu1/HauzBox | e3dd238b8ef302e69dd4cefa2036a50500b6f3bc | c586d221a903f2be681b895eec20dd01664ce141 | refs/heads/master | 2021-05-15T05:41:37.189912 | 2018-01-31T14:45:43 | 2018-01-31T14:46:18 | 116,761,502 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 519 | py | # Generated by Django 2.0.1 on 2018-01-19 05:24
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('Hauz', '0014_auto_20180119_0821'),
]
operations = [
migrations.AlterField(
model_name='house',
... | [
"ndungu.wairimu22@gmail.com"
] | ndungu.wairimu22@gmail.com |
79dcbfe3d5544e48a61ca3c29afc26988d642d42 | 64bf39b96a014b5d3f69b3311430185c64a7ff0e | /intro-ansible/venv3/lib/python3.8/site-packages/ansible_collections/chocolatey/chocolatey/plugins/modules/win_chocolatey_source.py | cae7637ea3d821e51ef6c10dfcf1d8769d184a97 | [
"LicenseRef-scancode-unknown-license-reference",
"GPL-3.0-only",
"MIT"
] | permissive | SimonFangCisco/dne-dna-code | 7072eba7da0389e37507b7a2aa5f7d0c0735a220 | 2ea7d4f00212f502bc684ac257371ada73da1ca9 | refs/heads/master | 2023-03-10T23:10:31.392558 | 2021-02-25T15:04:36 | 2021-02-25T15:04:36 | 342,274,373 | 0 | 0 | MIT | 2021-02-25T14:39:22 | 2021-02-25T14:39:22 | null | UTF-8 | Python | false | false | 3,734 | py | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright: (c) 2018, Ansible Project
# Copyright: (c) 2020, Chocolatey Software
# GNU General Public License v3.0+ (see LICENSE or https://www.gnu.org/licenses/gpl-3.0.txt)
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['preview'],
... | [
"sifang@cisco.com"
] | sifang@cisco.com |
a9daa25aa586b9c519f86b630fdd29e6a115d159 | c81ea73e93df307d35191ab184a85d6c67c57112 | /dockers/rotnet/prepare_nets.py | 63510dd367617d93fe4ec8309755cc686e82c50c | [] | no_license | BlenderCN-Org/diplomka | 8d0503fc5902dfede8317aed84f5a17f691f687f | 575fe3f2436b9c511496c1dc019d9cc3423ba5f0 | refs/heads/master | 2020-05-22T15:42:00.143738 | 2019-05-07T07:37:46 | 2019-05-07T07:37:46 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 567 | py | import os
def replace(file, what, for_what):
# Read in the file
with open(file, 'r') as f:
filedata = f.read()
# Replace the target string
filedata = filedata.replace(what, for_what)
#print(filedata)
# Write the file out again
with open(file, 'w') as f:
f.write(filedata)
... | [
"miroslavkrabec@seznam.cz"
] | miroslavkrabec@seznam.cz |
cc9e9573db428adfe20c7a930d036f9c4a3eb3ba | 29eacf3b29753d65d8ec0ab4a60ea1f7ddecbd68 | /examples/pytorch_lightning_distributed/dcl.py | ecf6e7bcd014282101b6c04ec204b23362d2d964 | [
"MIT"
] | permissive | lightly-ai/lightly | 5b655fe283b7cc2ddf1d7f5bd098603fc1cce627 | 5650ee8d4057139acf8aa10c884d5d5cdc2ccb17 | refs/heads/master | 2023-08-17T11:08:00.135920 | 2023-08-16T12:43:02 | 2023-08-16T12:43:02 | 303,705,119 | 2,473 | 229 | MIT | 2023-09-14T14:47:16 | 2020-10-13T13:02:56 | Python | UTF-8 | Python | false | false | 2,288 | py | # Note: The model and training settings do not follow the reference settings
# from the paper. The settings are chosen such that the example can easily be
# run on a small dataset with a single GPU.
import pytorch_lightning as pl
import torch
import torchvision
from torch import nn
from lightly.loss import DCLLoss
fr... | [
"noreply@github.com"
] | lightly-ai.noreply@github.com |
0ccaa945ee61fe6e02bfa5331ec1bacd14f0ee07 | a560269290749e10466b1a29584f06a2b8385a47 | /Notebooks/py/sonukumarsaw/fork-of-titanic-survivors-dataset/fork-of-titanic-survivors-dataset.py | e15a01032f6d55138434ecd5ca6cd6a3f757da58 | [] | no_license | nischalshrestha/automatic_wat_discovery | c71befad1aa358ae876d5494a67b0f4aa1266f23 | 982e700d8e4698a501afffd6c3a2f35346c34f95 | refs/heads/master | 2022-04-07T12:40:24.376871 | 2020-03-15T22:27:39 | 2020-03-15T22:27:39 | 208,379,586 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 6,475 | py | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
# This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load in
import numpy as np # linear algebra
i... | [
"bitsorific@gmail.com"
] | bitsorific@gmail.com |
bc7efdd131ecce9958da72f2a08feb76ecb8da2f | b24c7086c8174023177f67a88980cb2b4a92522d | /src/robots/naoqi/res.py | 22647370c74cb65b99651d261179ecfc88cc6c6b | [
"ISC"
] | permissive | chili-epfl/pyrobots-nao | f67da21112dcb3cb33b5c5336a4d0c1abb090673 | 981addf10beda75466dc3e0a7a4be223b39c260c | refs/heads/master | 2021-01-20T11:09:57.440700 | 2015-02-28T11:42:54 | 2015-02-28T11:42:54 | 29,869,379 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 260 | py | from robots.resources import Resource, CompoundResource
# hardware resource that need to be shared
LEYE = Resource("left eye")
REYE = Resource("right eye")
EYES = CompoundResource(LEYE, REYE, name = "eyes")
AUDIO = Resource("audio")
HEAD = Resource("head")
| [
"severin.lemaignan@epfl.ch"
] | severin.lemaignan@epfl.ch |
f2056e40108d671f9b0355deab9f4e12a257eebc | 6564b596ec27e67ee1b48377da1e7cee59cdcfe9 | /shenfun/optimization/__init__.py | d1a6e8057a3b55601f99b532c29a35d270f271d9 | [
"BSD-2-Clause"
] | permissive | GeraintPratten/shenfun | 077b13d904fd6bf6880c412f74300d78494bee11 | d92eb058c9969175da19b23926fb80148cf92ace | refs/heads/master | 2023-07-04T13:46:27.969149 | 2021-08-10T11:48:32 | 2021-08-10T11:48:32 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,095 | py | """Module for optimized functions
Some methods performed in Python may be slowing down solvers. In this optimization
module we place optimized functions that are to be used instead of default
Python methods. Some methods are implemented solely in Cython and only called
from within the regular Python modules.
"""
impo... | [
"mikaem@math.uio.no"
] | mikaem@math.uio.no |
b2c253c3b2b826b2d4c91a55667970a087f6c604 | 1786dad5941d4b50561e04104d11d1412433d1f3 | /core/admin.py | 10d5f471b467447c2538cf468cbb6db779b18fd1 | [] | no_license | daryabsb/imdb | 5dc4704cb589d97815d98cfa97866a50055ab690 | 649f9dcc673a3b56c28329af15d1d1bae5f3c370 | refs/heads/master | 2022-12-25T06:59:26.738297 | 2020-09-19T13:55:05 | 2020-09-19T13:55:05 | 290,747,050 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 160 | py | from django.contrib import admin
from .models import Movie, MovieLink
# Register your models here.
admin.site.register(Movie)
admin.site.register(MovieLink)
| [
"daryabsb@gmail.com"
] | daryabsb@gmail.com |
22c3b4bba12d8a2089c01805105ab6950a3845eb | 23db23583a49dd42002f3815bcfb26249096cb99 | /input/channelConfig_dielectron_Legacy2018_EBEE.py | b14170031da10b7294d93389ddde0313092551aa | [] | no_license | JanFSchulte/BiasTests | 34560adb1bc747aa3b594dd2c1014dee6093a25e | ff9ad12a2391fe0f409bac2945d21576f4a0cb3d | refs/heads/master | 2021-04-22T01:00:35.124191 | 2020-03-24T23:23:07 | 2020-03-24T23:23:07 | 249,836,538 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,672 | py | import ROOT,sys
ROOT.gROOT.SetBatch(True)
ROOT.gErrorIgnoreLevel = 1
from ROOT import *
from math import sqrt
from resolution_cfg_2018 import DCB_para
nBkg = -1
dataFile = "input/eventList_ele_2018_BE.txt"
def addBkgUncertPrior(ws,label,channel,uncert):
beta_bkg = RooRealVar('beta_%s_%s'%(label,channel),'bet... | [
"jschulte@cern.ch"
] | jschulte@cern.ch |
33a273361603bc9162e66b2ca04a3dc441178775 | 8ef477149fdd8cd8c0ad88f160e2b8a445550a1e | /base_ecommerce_v13/models/stock.py | 86a7f7c483c94f799c99fe122bff69e115aeeda4 | [] | no_license | cokotracy/ebay_connector_v13 | 97f3e23ba951f14457514b71b408b389a7c16dc7 | 3c08603875d464e5bee818091fa704f5f7192499 | refs/heads/master | 2022-07-19T21:15:23.065880 | 2020-05-20T15:20:23 | 2020-05-20T15:20:23 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 186 | py | from odoo import api, fields, models, _
import odoo.netsvc
class stock_picking(models.Model):
_inherit = "stock.picking"
shop_id = fields.Many2one('sale.shop', string='Shop') | [
"https://Anjeel@bitbucket.org"
] | https://Anjeel@bitbucket.org |
4889cedcd8425ab04971c8f8ff25cf9734da01c9 | e5e8553fe434f399d24c1a8f981d5d258574e4af | /universal_landmark_detection/model/networks/globalNet.py | 0b2bab7140532e0dbb277efecde6822b98a6b8f8 | [
"MIT"
] | permissive | egozoro/YOLO_Universal_Anatomical_Landmark_Detection | 4dee00cf4ee140fa373b2dafeea8c95b69ff66c7 | 465a3d6afcdb23fdec609efe336beebdc9ed61f4 | refs/heads/main | 2023-08-24T02:04:40.543561 | 2021-10-07T13:58:16 | 2021-10-07T13:58:16 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,472 | py | import torch
import torch.nn as nn
import torch.nn.functional as F
class myConv2d(nn.Module):
def __init__(self, in_channels, out_channels, kernel_size=1):
super(myConv2d, self).__init__()
padding = (kernel_size-1)//2
self.conv = nn.Conv2d(in_channels, out_channels,
... | [
"zhuheqin1@gmail.com"
] | zhuheqin1@gmail.com |
847b6985e225a008a43c6455650f7843ffa2f1d6 | 99697559d046cdd04dd9068bd518e4da4177aaa2 | /Finish/M019_Remove_Nth_Node_From_End_of_List.py | d1a7c1a10eb90195f94c135192f33c5f6de79380 | [] | no_license | Azurisky/Leetcode | 3e3621ef15f2774cfdfac8c3018e2e4701760c3b | 8fa215fb0d5b2e8f6a863756c874d0bdb2cffa04 | refs/heads/master | 2020-03-18T22:46:35.780864 | 2018-10-07T05:45:30 | 2018-10-07T05:45:30 | 135,364,168 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 668 | py | # Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution:
def removeNthFromEnd(self, head, n):
"""
:type head: ListNode
:type n: int
:rtype: ListNode
"""
fir... | [
"andrew0704us@gmail.com"
] | andrew0704us@gmail.com |
f8b639c29269c2aae5cac88c606ca55cac9e1ec6 | 1d871064c463d4e55c6eec8e479dd3a594e07593 | /tests/sequence_classification_tests/dataset_test.py | d892a00ba89dddefe0212dea0065e6d00cbed7d5 | [
"Apache-2.0"
] | permissive | little-bigtiger/transformers-keras | 76ad5f67e71a1286971735208a13b2b235afc281 | d8712a21e0a34a3f26d1e48459d7505c96931a5d | refs/heads/master | 2023-08-17T04:19:05.080257 | 2021-09-29T03:08:42 | 2021-09-29T03:08:42 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,295 | py | import unittest
from transformers_keras.sequence_classification.dataset import SequenceClassificationDataset
class DatasetTest(unittest.TestCase):
"""Dataset test."""
def test_sequence_classification_dataset_examples(self):
print()
print("====from_jsonl_files")
d = SequenceClassifica... | [
"zhouyang.luo@gmail.com"
] | zhouyang.luo@gmail.com |
1c29f61d1b995d9e89dc5f3a52a350d1a6308b32 | 3ab7695bfc34355ba579bc43b9fea396933514dc | /dbaas_cloudstack/util/models.py | 79546d1939ff00c64b02437d9629be07d551d26d | [] | no_license | globocom/dbaas-cloudstack | d59ee6147235c5933eb5fa36a3047c61a9de9e5a | 8445dde83c231a6af932ef179821c3e0b62485ff | refs/heads/master | 2023-01-05T00:18:36.304237 | 2018-04-18T20:51:30 | 2018-04-18T20:51:30 | 18,342,699 | 8 | 1 | null | 2022-12-26T19:43:38 | 2014-04-01T20:02:04 | Python | UTF-8 | Python | false | false | 769 | py | # -*- coding: utf-8 -*-
from __future__ import absolute_import, unicode_literals
from django.db import models
from django.utils.translation import ugettext_lazy as _
class BaseModel(models.Model):
"""Base model class"""
created_at = models.DateTimeField(verbose_name=_("created_at"), auto_now_add=True)
up... | [
"raposo.felippe@gmail.com"
] | raposo.felippe@gmail.com |
113a7bac74c95751ac2210ca63365a1b2e1fd96e | 42b61bf376b172a36759e6c3264562e585630d47 | /ascent/wsgi.py | e0b9ba7dc44cd2c055733c9d3a2cd7ec618e6449 | [] | no_license | destinymalone/ascent | 9ad4d9e1a0db017c6ff8d4820fb92e46b0f282e6 | 526227115ce6703f66f4c39a7bb2e12153427757 | refs/heads/master | 2020-09-23T05:03:44.071148 | 2020-01-27T14:54:59 | 2020-01-27T14:54:59 | 225,411,341 | 1 | 0 | null | 2019-12-05T18:50:43 | 2019-12-02T15:44:27 | null | UTF-8 | Python | false | false | 389 | py | """
WSGI config for ascent 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_SETTIN... | [
"natec425@gmail.com"
] | natec425@gmail.com |
13284b6e642981ad9bab7c9f4b5bd1a8b32ea645 | 88553181929aa251bc5ae02d81f17970249bca40 | /django/angular/aenv/Scripts/painter.py | f7b0e2584de0e394bb34f5a8be649eb0ce7ac5de | [] | no_license | reddymadhira111/Python | 2d9c3e5dba8238df6be9a67d422468ac1ca16d35 | 0f1a0c87748e67a879cd8c31eda7b65c69c5d648 | refs/heads/master | 2022-11-05T07:23:30.211706 | 2017-06-13T19:11:25 | 2017-06-13T19:11:25 | 94,243,400 | 0 | 1 | null | 2022-10-29T10:56:29 | 2017-06-13T18:13:59 | Python | UTF-8 | Python | false | false | 2,205 | py | #!c:\users\reddy\desktop\python\django\angular\aenv\scripts\python.exe
#
# The Python Imaging Library
# $Id$
#
# this demo script illustrates pasting into an already displayed
# photoimage. note that the current version of Tk updates the whole
# image every time we paste, so to get decent performance, we split
# the i... | [
"reddymadhira111gmail.com"
] | reddymadhira111gmail.com |
62af4afbd3bef2ec5d05634ac926d9d41c739692 | 4a9dada02c749e9e5277fe1e35357d7b2b28ad5c | /顾天媛2018010980/操作系统实验/作业3.py | 7e4ba1e0148c936d956319f37d9a32e6f1f3efc9 | [] | no_license | wanghan79/2020_Option_System | 631cc80f52829390a128a86677de527472470348 | f37b870614edf7d85320da197d932df2f25a5720 | refs/heads/master | 2021-01-09T13:10:05.630685 | 2020-07-10T03:30:39 | 2020-07-10T03:30:39 | 242,312,271 | 13 | 9 | null | 2020-07-04T16:13:11 | 2020-02-22T09:12:56 | Python | UTF-8 | Python | false | false | 1,037 | py | # !/usr/bin/python3
# -*- coding: UTF-8 -*-
"""
Author: Ty.Gu
Purpose: multiprocessing
Created: 26/6/2020
"""
# 作业3. 采用Python语言创建多进程；提示：采用Python内置工具包multiprocessing
from multiprocessing import Pool
import time, os
from random import random
def task(task_name):
print('开始做任务啦!', task_name)
start = time.... | [
"noreply@github.com"
] | wanghan79.noreply@github.com |
b7e58fa1fcf498998c1ed4a723ca290fc280f15c | 23514a0e2baf6da053690dd511f1eef75a573e6b | /log-mining/com/haodou/log-mining/log/searchKeyword45.py | 57442a3fa8cb219cd0a04d9be9ebe10fd6f97859 | [] | no_license | rainly/scripts-1 | b5f31880a1a917df23e4c110bb7661685851eff5 | 3ef01a58162b94fb36cdd38581c899d8a118eda0 | refs/heads/master | 2020-07-12T01:41:31.491344 | 2019-08-27T08:50:10 | 2019-08-27T08:50:10 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,296 | py | #encoding=utf-8
#
#专门为4.5版本定制
import sys
import operator
sys.path.append("./")
sys.path.append("../")
sys.path.append("../abtest")
import column
import column2
from clickCount import *
from cardClick import *
CardFix="##Card##_"
def getRidPos(ret):
rids={}
if "rids" in ret:
size=FirstPageNum
if len(ret["rid... | [
"zhaoweiguo@vxiaoke360.com"
] | zhaoweiguo@vxiaoke360.com |
d8c7a38a8aeec36a0e7f7cb277b9cbcea34d348d | 1fbb308b15a83fd53d7d1eeee1ad103d3ba36ac4 | /venv/bin/pip | 87b74d7a8f139ff92ee41d635bc4ef98e35fbf19 | [] | no_license | jcohen66/twit | a2b585f523a7168c1438c4eea6cf872d7dc3a985 | 3d164947a63d3102b2b34c86199b26b2f17cc4db | refs/heads/master | 2023-03-25T01:29:25.814931 | 2021-03-16T00:33:07 | 2021-03-16T00:33:07 | 347,211,087 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 257 | #!/Users/jcohen66/PycharmProjects/twit/venv/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from pip._internal.cli.main import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"jcohen66@optonline.net"
] | jcohen66@optonline.net | |
4266bb3abd19427b2cd8572b67e7b4af4d73d196 | 54708c482b13760fc4a747274b62849b5e8b8277 | /leetcode_python/Hash_table/contains-duplicate-ii.py | cc82bea65b88eb03d3c4b67b958a77ccc25b4d1e | [] | no_license | DataEngDev/CS_basics | 6520818caa61609eae9b026fb5b25ef9e4ea6961 | 05e8f5a4e39d448eb333c813093fc7c1df4fc05e | refs/heads/master | 2023-03-02T18:58:42.469872 | 2021-02-14T02:23:27 | 2021-02-14T02:23:27 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,021 | py | """
Given an array of integers and an integer k, find out whether there are two distinct indices i and j in the array such that nums[i] = nums[j] and the absolute difference between i and j is at most k.
Example 1:
Input: nums = [1,2,3,1], k = 3
Output: true
Example 2:
Input: nums = [1,0,1,1], k = 1
Output: true
Ex... | [
"f339339@gmail.com"
] | f339339@gmail.com |
af950af06cd4d8cb80ff701f37666dc4d78deba6 | 34652a47355a8dbe9200db229a1bbc62619de364 | /Matlibplots/samples2/axes_demo.py | 4d3fa3d8cc09e86facd7b5e96a3059c143a7f1e4 | [] | no_license | btrif/Python_dev_repo | df34ab7066eab662a5c11467d390e067ab5bf0f8 | b4c81010a1476721cabc2621b17d92fead9314b4 | refs/heads/master | 2020-04-02T13:34:11.655162 | 2019-11-10T11:08:23 | 2019-11-10T11:08:23 | 154,487,015 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 771 | py | #!/usr/bin/env python
from pylab import *
# create some data to use for the plot
dt = 0.001
t = arange(0.0, 10.0, dt)
r = exp(-t[:1000] / 0.05) # impulse response
x = randn(len(t))
s = convolve(x, r)[:len(x)] * dt # colored noise
# the main axes is subplot(111) by default
plot(t, s)
axis([0, 1, 1.1 * amin(s), 2 * ... | [
"bogdan.evanzo@gmail.com"
] | bogdan.evanzo@gmail.com |
027f90da6ae7a9f981c03a08fedff984b0d56959 | c309e7d19af94ebcb537f1e8655c0122dbe0cb13 | /Chapter03/01-chapter-content/read_video_file_all_properties.py | db4569016c150e9cb77c318253011c5af90209bc | [
"MIT"
] | permissive | PacktPublishing/Mastering-OpenCV-4-with-Python | 0fb82c88cb7205c7050c8db9f95a6deb3b1b3333 | 4194aea6f925a4b39114aaff8463be4d18e73aba | refs/heads/master | 2023-03-07T04:51:16.071143 | 2023-02-13T10:17:48 | 2023-02-13T10:17:48 | 151,057,527 | 375 | 226 | MIT | 2022-08-27T13:32:19 | 2018-10-01T08:27:29 | Python | UTF-8 | Python | false | false | 3,750 | py | """
Example to introduce how to read a video file and get all properties
"""
# Import the required packages:
import cv2
import argparse
def decode_fourcc(fourcc):
"""Decodes the fourcc value to get the four chars identifying it"""
# Convert to int:
fourcc_int = int(fourcc)
# We print the int value ... | [
"fernandezvillan.alberto@gmail.com"
] | fernandezvillan.alberto@gmail.com |
418631b09fa5046da457ec6b6d12fde3127fe3a9 | fab14fae2b494068aa793901d76464afb965df7e | /benchmarks/f3_wrong_hints/scaling_software_termination/11-2Nested_false-termination_13.py | e93f6811be066b40a1149e24f28d064d54e66d26 | [
"MIT"
] | permissive | teodorov/F3 | 673f6f9ccc25acdfdecbfc180f439253474ba250 | c863215c318d7d5f258eb9be38c6962cf6863b52 | refs/heads/master | 2023-08-04T17:37:38.771863 | 2021-09-16T07:38:28 | 2021-09-16T07:38:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,279 | py | from typing import Tuple, FrozenSet
from pysmt.environment import Environment as PysmtEnv
from pysmt.fnode import FNode
import pysmt.typing as types
from utils import symb_to_next
from hint import Hint, Location
def transition_system(env: PysmtEnv) -> Tuple[FrozenSet[FNode], FNode, FNode,
... | [
"en.magnago@gmail.com"
] | en.magnago@gmail.com |
13cd64bc158351be30552a0174bbd7805c1ee073 | 98c6ea9c884152e8340605a706efefbea6170be5 | /examples/data/Assignment_8/ksskou001/question1.py | cbf7c2c649b94f8451d86b9956d6a62f42752649 | [] | no_license | MrHamdulay/csc3-capstone | 479d659e1dcd28040e83ebd9e3374d0ccc0c6817 | 6f0fa0fa1555ceb1b0fb33f25e9694e68b6a53d2 | refs/heads/master | 2021-03-12T21:55:57.781339 | 2014-09-22T02:22:22 | 2014-09-22T02:22:22 | 22,372,174 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,146 | py | '''This program uses a recursion function to shows whether or not a string
is palindromique
By Hermann KOUASSI: KSSKOU001
On 3 May 2014'''
def pal(the_str):
'''check if a given string is palindromic'''
#in case empty string is the input
if len(the_str)==0:
print('Palindrome!')
#stop c... | [
"jarr2000@gmail.com"
] | jarr2000@gmail.com |
856eaeeccbd6c812aee69d362e74757971e1e1b9 | 391937be6d8c8bcf5c3fe9fae8790024fc1e1727 | /Starctf_2019/girlfriend/changeld.py | 03c035cf38d567f31740c7a68a2268662cc4b46a | [] | no_license | n132/Watermalon | a9d93d3f0d598de7f8ed9bbe13ed02af364f770f | 79b4479458ae0884d9cdd52d317674298d601d0a | refs/heads/master | 2022-05-13T21:04:08.108705 | 2022-04-08T23:29:48 | 2022-04-08T23:29:48 | 154,925,917 | 6 | 2 | null | null | null | null | UTF-8 | Python | false | false | 1,358 | py | import os
from pwn import *
def change_ld(binary, ld):
"""
Force to use assigned new ld.so by changing the binary
"""
if not os.access(ld, os.R_OK):
log.failure("Invalid path {} to ld".format(ld))
return None
if not isinstance(binary, ELF):
if not os.access(binar... | [
"986256128@qq.com"
] | 986256128@qq.com |
db424bfcd1d912fa13fa0d54efe254c2af125fb6 | 93ccc1138fd28385e7cebf69fda8327cbf974d13 | /test/generate_runtime.py | 59710979953e46f6194872112714237b001bfb78 | [] | no_license | hbcbh1999/Phy-Net | 09613fbd146b6c70e4b52e7e00837ae92c9e6ef8 | 06ba854b3f281027546b8acfdec29fdbe6eb6649 | refs/heads/master | 2021-01-19T22:53:19.430191 | 2017-04-07T19:10:32 | 2017-04-07T19:10:32 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,327 | py | import math
import numpy as np
import tensorflow as tf
import sys
sys.path.append('../')
from model.ring_net import *
from model.loss import *
from utils.experiment_manager import make_checkpoint_path
from systems.fluid_createTFRecords import generate_feed_dict
import random
import time
from tqdm import *
FLAGS = t... | [
"loliverhennigh101@gmail.com"
] | loliverhennigh101@gmail.com |
a127a74237962f2453d6466dd7901670b2f745be | c67b74a8de4d60f2aba025dfba8351996cdaa46c | /tkinter/other/autologging/grid_layout/target_ui.py | f97b6f974a38b238aa9d4c893c0ccf4e81479fff | [] | no_license | texttest/storytext-selftest | a30a58a0ab75fd26e60056222150cf6ae773470e | 438977bf044c1ebc98089b667f0ae3d835bc7f37 | refs/heads/master | 2020-04-26T18:16:20.242220 | 2015-02-17T15:53:27 | 2015-02-17T15:53:27 | 173,739,750 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 475 | py | # File: hello2.py
try:
from tkinter import *
except ImportError:
from Tkinter import *
class App:
def __init__(self, master):
Label(master, text="Top Left").grid(row=0, column=0)
Label(master, text="Top Right").grid(row=0, column=1, rowspan=3)
Label(master, text="Bottom Left").gri... | [
"geoff.bache@jeppesen.com"
] | geoff.bache@jeppesen.com |
fb98535b70b7993474b77e91b3feff3d46b9b3de | f0d713996eb095bcdc701f3fab0a8110b8541cbb | /7BYXC8befjYqzhMsc_11.py | 66660ac86c91acd077e3841dd8119a65d3ac8e96 | [] | no_license | daniel-reich/turbo-robot | feda6c0523bb83ab8954b6d06302bfec5b16ebdf | a7a25c63097674c0a81675eed7e6b763785f1c41 | refs/heads/main | 2023-03-26T01:55:14.210264 | 2021-03-23T16:08:01 | 2021-03-23T16:08:01 | 350,773,815 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,737 | py | """
Kathleen owns a beautiful rug store. She likes to group the rugs into 4
mutually exclusive categories.
* imperfect
* horizontally symmetric
* vertically symmetric
* perfect
An **imperfect** rug is one that is **neither horizontally nor vertically
symmetric**. Here is an example of an **imperfect** rug:... | [
"daniel.reich@danielreichs-MacBook-Pro.local"
] | daniel.reich@danielreichs-MacBook-Pro.local |
8f17fad612ed72e9207bd0bc6151fd98258a7479 | c047518e0bc0be1d1a46b734fbf53610cb8a407f | /URI/1564.py | 3cf5007b193896b8264fe8720ab63225560887f8 | [] | no_license | fernandozanutto/competitive_programming | c3e006544ddba1702a37eeb437cb015713e8c2d1 | cf721a7bcce6c5d5fc9f739ad729079c939fc421 | refs/heads/master | 2020-06-19T06:57:32.288602 | 2020-04-04T14:58:45 | 2020-04-04T14:58:45 | 196,607,123 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 183 | py | while True:
try:
x = int(input())
if x > 0:
print('vai ter duas!')
else:
print('vai ter copa!')
except EOFError:
break
| [
"ferzanutto1999@gmail.com"
] | ferzanutto1999@gmail.com |
6bafb7696525ab7f42a5402714c53c58186334ea | 90419da201cd4948a27d3612f0b482c68026c96f | /sdk/python/pulumi_azure_nextgen/machinelearning/v20160501preview/get_web_service.py | 0310879ee63fd0a9c81caf2427c8125f783e25fc | [
"BSD-3-Clause",
"Apache-2.0"
] | permissive | test-wiz-sec/pulumi-azure-nextgen | cd4bee5d70cb0d332c04f16bb54e17d016d2adaf | 20a695af0d020b34b0f1c336e1b69702755174cc | refs/heads/master | 2023-06-08T02:35:52.639773 | 2020-11-06T22:39:06 | 2020-11-06T22:39:06 | 312,993,761 | 0 | 0 | Apache-2.0 | 2023-06-02T06:47:28 | 2020-11-15T09:04:00 | null | UTF-8 | Python | false | false | 3,930 | py | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from... | [
"public@paulstack.co.uk"
] | public@paulstack.co.uk |
9821c77472261b94840d40045f8030e18e1d5e13 | 927748a4de2b1388d83e554eb76deaa61c1ef167 | /namer/admin.py | b47d64e5ce90b02485e6bdd8686abc92b7c2286c | [
"Apache-2.0"
] | permissive | grahamgilbert/macnamer | f2486758ac25ce8fb93a9cabaa8d56600f7f5d71 | 809345a5c82d890ece2ee6a26e797f540561f49c | refs/heads/master | 2021-06-06T20:50:29.651924 | 2014-11-01T12:06:29 | 2014-11-01T12:06:29 | 6,016,337 | 23 | 6 | Apache-2.0 | 2019-03-01T01:36:12 | 2012-09-30T06:08:49 | Python | UTF-8 | Python | false | false | 158 | py | from django.contrib import admin
from namer.models import *
admin.site.register(Computer)
admin.site.register(ComputerGroup)
admin.site.register(Network) | [
"graham@grahamgilbert.com"
] | graham@grahamgilbert.com |
cffd172dc336a08ee43dd702322e72e587f814a8 | ae7ba9c83692cfcb39e95483d84610715930fe9e | /csrgxtu/maxent/src/basketball/CVKNN.py | 5cd2ae78495e3c298550c337b20cafe503e6473c | [] | no_license | xenron/sandbox-github-clone | 364721769ea0784fb82827b07196eaa32190126b | 5eccdd8631f8bad78eb88bb89144972dbabc109c | refs/heads/master | 2022-05-01T21:18:43.101664 | 2016-09-12T12:38:32 | 2016-09-12T12:38:32 | 65,951,766 | 5 | 7 | null | null | null | null | UTF-8 | Python | false | false | 5,299 | py | #!/usr/bin/env python
# coding = utf-8
#
# Author: Archer Reilly
# Date: 23/DEC/2014
# File: CVKNN.py
# Desc: KNN -- K Nearest Neighbours, use KNN classifier
#
# Produced By CSRGXTU
import cv2
import numpy as np
from Utility import loadMatrixFromFile, loadSeasons, loadTeamIds
# buildTrainingSets
# build training sets... | [
"xenron@outlook.com"
] | xenron@outlook.com |
1c7d4811f1c3dfd5bc63c22ca4fa582315a02824 | 0809673304fe85a163898983c2cb4a0238b2456e | /tmp/ve_asus-rt-n14uhp-mrtg/lib/python3.4/site-packages/setuptools/command/test.py | 39746a02bf60246a3d7f1feb3e2f9243977c6177 | [
"Apache-2.0"
] | permissive | jasonwee/asus-rt-n14uhp-mrtg | 244092292c94ff3382f88f6a385dae2aa6e4b1e1 | 4fa96c3406e32ea6631ce447db6d19d70b2cd061 | refs/heads/master | 2022-12-13T18:49:02.908213 | 2018-10-05T02:16:41 | 2018-10-05T02:16:41 | 25,589,776 | 3 | 1 | Apache-2.0 | 2022-11-27T04:03:06 | 2014-10-22T15:42:28 | Python | UTF-8 | Python | false | false | 7,134 | py | import sys
import contextlib
from distutils.errors import DistutilsOptionError
from unittest import TestLoader
from setuptools.extern import six
from setuptools.extern.six.moves import map
from pkg_resources import (resource_listdir, resource_exists, normalize_path,
working_set, _namespace_... | [
"peichieh@gmail.com"
] | peichieh@gmail.com |
ee5cb4dba4207a57b701f57cb2ad43198828c213 | 096fde1f6e629de8b921de621c1e2eaed3d149e7 | /src/android/toga_android/widgets/label.py | 66e971a274fe62d5a88ba01b124bb779f3afec2b | [
"BSD-3-Clause"
] | permissive | zeerorg/toga | 78079ccde9fc33970f03dd0718cb191d037d9db8 | be8182e6131938982dc757f847f938349009de7e | refs/heads/master | 2021-01-23T03:16:17.750455 | 2017-03-19T06:44:37 | 2017-03-19T06:44:37 | 86,062,968 | 0 | 0 | null | 2017-03-24T11:54:09 | 2017-03-24T11:54:09 | null | UTF-8 | Python | false | false | 1,250 | py | # from ..app import MobileApp
# from .base import Widget
#
# from toga.constants import *
#
#
# class Label(Widget):
# def __init__(self, text=None, alignment=LEFT_ALIGNED):
# super(Label, self).__init__()
#
# self.startup()
#
# self.alignment = alignment
# self.text = text
#
# d... | [
"russell@keith-magee.com"
] | russell@keith-magee.com |
c5ee9c15ca65ada5c73aba41feef5b69a74b50d4 | 9805edf2b923c74cf72a3cfb4c2c712255256f15 | /python/120_triangle.py | 719010ee065e6c6d8cc995ea1c85fc78889cc7a4 | [
"MIT"
] | permissive | jixinfeng/leetcode-soln | 5b28e49c2879cdff41c608fc03628498939b0e99 | 24cf8d5f1831e838ea99f50ce4d8f048bd46c136 | refs/heads/master | 2022-10-12T17:02:53.329565 | 2022-10-06T03:21:56 | 2022-10-06T03:21:56 | 69,371,757 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,283 | py | """
Given a triangle, find the minimum path sum from top to bottom. Each step you
may move to adjacent numbers on the row below.
For example, given the following triangle
[
[2],
[3,4],
[6,5,7],
[4,1,8,3]
]
The minimum path sum from top to bottom is 11 (i.e., 2 + 3 + 5 + 1 = 11).... | [
"ufjfeng@users.noreply.github.com"
] | ufjfeng@users.noreply.github.com |
3605b8c88df214a553152d099f2136282236394f | bd01fbbc28b98814c0deb428b412aeec456a3712 | /make_train_target.py | 360bc19136e82616fd92eb8929c7c0ac37f2beb0 | [] | no_license | thusodangersimon/sanral_hack | d693a8fedf6de4f10dde5efcdb1bc5e0a95b0b9d | 69c71fc80935ee42488226962b29d643d0a6e75a | refs/heads/master | 2020-08-11T18:09:23.997842 | 2019-10-12T14:31:24 | 2019-10-12T14:31:24 | 214,606,084 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,579 | py | """
This file creates training data set.
"""
import pandas as pd
from sklearn.base import BaseEstimator, TransformerMixin
class MakeTarget(BaseEstimator, TransformerMixin):
def __init__(self, start, end, time_col, segment_col, agg_col):
self.start = start
self.end = end
self.time_col = t... | [
"admin@example.com"
] | admin@example.com |
213eae2e246ee6a732fe0b4e2584202dfc940337 | b6a97526938a923f442d54b3c02e82051c0df1ff | /tests/functions_tests/test_concat.py | 32c9def4fe7e3bdeef21c63267e77160d6a381ac | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | amoliu/chainer | 96992ff235dec616e39edb0a840d621fbea4ce12 | df4362bc8a2a7bef6513ac788f373f0b5028e03b | refs/heads/master | 2021-01-22T16:38:16.727714 | 2015-06-18T08:31:13 | 2015-06-18T08:31:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,853 | py | from unittest import TestCase
import numpy
from chainer import cuda, Variable
from chainer.cuda import to_gpu, GPUArray
from chainer.gradient_check import assert_allclose
from chainer.functions import concat
cuda.init()
class Concat(TestCase):
def setUp(self):
self.y0 = numpy.arange(42, dtype=numpy.f... | [
"beam.web@gmail.com"
] | beam.web@gmail.com |
efd3b2095fe805965d530e8825bb361b4af2b186 | dfab6798ece135946aebb08f93f162c37dd51791 | /core/luban/cli/db/help.py | efa834580fb7667beb71a842f62daa146103d562 | [] | no_license | yxqd/luban | 405f5f7dcf09015d214079fe7e23d644332be069 | 00f699d15c572c8bf160516d582fa37f84ac2023 | refs/heads/master | 2020-03-20T23:08:45.153471 | 2012-05-18T14:52:43 | 2012-05-18T14:52:43 | 137,831,650 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 713 | py | # -*- Python -*-
#
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#
# Jiao Lin
# California Institute of Technology
# (C) 2006-2011 All Rights Reserved
#
# {LicenseText}
#
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~... | [
"linjiao@caltech.edu"
] | linjiao@caltech.edu |
bc78baed56d1faf996c6ec825a93f0f64c9c943f | 8e18c91dae4787b53e1ff6b35dc04fa38aa374d3 | /Pautas Interrogaciones/Examen/Pregunta 2/P2a.py | ccb0956454e0a77b4a1a6193255f4836793b511d | [] | no_license | GbPoblete/syllabus | 4a0cb0a2d92fea04b7891c84efef678e4596fa08 | ca0e8c44d7c13c98ce4e4b99b4559daf99804cab | refs/heads/master | 2020-05-16T00:49:10.663749 | 2015-12-01T23:22:14 | 2015-12-01T23:22:14 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,391 | py | __author__ = 'figarrido'
def _promedio(datos):
return sum(datos) / len(datos)
def _varianza(datos):
prom = _promedio(datos)
suma = 0
for i in datos:
suma += (i - prom)**2
return suma / len(datos)
class Estrella:
def __init__(self, clase, RA, DEC, id, observaciones... | [
"lopezjuripatricio@gmail.com"
] | lopezjuripatricio@gmail.com |
9d6b2500746c6557a739357ecf53aed73bbf15d8 | 55a849e02a9a3819c72d67e0ef52cee2b5223db2 | /ftrace/parsers/sched_task_usage_ratio.py | e6f8c72c3122c2121fd387d2e76aaa87edd6c514 | [
"Apache-2.0"
] | permissive | Gracker/SystraceAnalysis | 08055bceea6018f6e1dd425d1976c1893bd9f945 | b27217e33a260614a9fe9ff3f8c3e470efdbd9a3 | refs/heads/master | 2023-02-18T19:34:26.071277 | 2021-01-21T01:51:37 | 2021-01-21T01:57:40 | 248,390,276 | 4 | 3 | null | null | null | null | UTF-8 | Python | false | false | 2,032 | py | #!/usr/bin/python
# Copyright 2015 Huawei Devices USA 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 r... | [
"dreamtale.jg@gmail.com"
] | dreamtale.jg@gmail.com |
d2791fd72bd25721bcc5818685206a2359cb9cb0 | 3f100a1002a1f8ed453c8b81a9b403444d77b4c6 | /assignment_2/assignment_2_final.py | d1cdbd0f6ced27c57032a5e8f8d15b90444bac53 | [] | no_license | Kimuda/Phillip_Python | c19c85a43c5a13760239e4e94c08436c99787ebf | 59d56a0d45839656eb15dbe288bdb0d18cb7df2b | refs/heads/master | 2016-09-09T22:19:02.347744 | 2015-05-01T10:56:49 | 2015-05-01T10:56:49 | 32,330,951 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,362 | py |
uniprot_text="""Entry Gene names Cross-reference (PDB) Length
O95813 CER1 DAND4 267
Q8N907 DAND5 CER2 CKTSF1B3 GREM3 SP1 189
O60565 GREM1 CKTSF1B1 DAND2 DRM PIG2 184
P41271 NBL1 DAN DAND1 4X1J; 181
Q96S42 NODAL 4N1D; 347
Q15465 SHH 3HO5;3M1N;3MXW; 462"""
uniprot_text_list=uniprot_text.split("\n")
protein_list=uni... | [
"pjkanywa@gmail.com"
] | pjkanywa@gmail.com |
0fa399848f39ede5587c2770483c24ccf4e954b1 | dd14fd0545093bc7fd3ff8b93e32180cec00e24d | /data_utils/load_dataset.py | fb31455fa3afab4b18465f204cfa5061c220c449 | [] | no_license | bigdatasciencegroup/PyTorch-GAN-Shop | ce38abf86185c6894ee46166bd41419260b026e5 | 95d4c3f8d836255cea162b8af38f810b5c638f2a | refs/heads/master | 2022-11-08T20:59:29.839442 | 2020-06-19T05:32:56 | 2020-06-19T05:32:56 | 273,416,695 | 2 | 0 | null | 2020-06-19T06:03:16 | 2020-06-19T06:03:16 | null | UTF-8 | Python | false | false | 4,837 | py | from torch.utils.data import Dataset
import os
import h5py as h5
import numpy as np
from scipy import io
import torch
import torchvision.transforms as transforms
from torchvision.datasets import CIFAR10, STL10
from torchvision.datasets import ImageFolder
class LoadDataset(Dataset):
def __init__(self, dataset_na... | [
"noreply@github.com"
] | bigdatasciencegroup.noreply@github.com |
e0e2a417665d20c8069db0592caec6107e06bf18 | 328afd873e3e4fe213c0fb4ce6621cb1a450f33d | /W3School/conditional_statement_loops/s.py | 46f9fed08f807249747610045fd405d9e9df72d3 | [] | no_license | TorpidCoder/Python | 810371d1bf33c137c025344b8d736044bea0e9f5 | 9c46e1de1a2926e872eee570e6d49f07dd533956 | refs/heads/master | 2021-07-04T08:21:43.950665 | 2020-08-19T18:14:09 | 2020-08-19T18:14:09 | 148,430,171 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 535 | py | row=15
col=18
result_str=""
for i in range(1,row+1):
if((i<=3)or(i>=7 and i<=9)or(i>=13 and i<=15)):
for j in range(1,col):
result_str=result_str+"o"
result_str=result_str+"\n"
elif(i>=4 and i<=6):
for j in range(1,5):
result_str=result_str+"o"
result_str=... | [
"sahilexemplary@gmail.com"
] | sahilexemplary@gmail.com |
81e30fa5ec864972411e2d70f75db454d407a91c | 15581a76b36eab6062e71d4e5641cdfaf768b697 | /LeetCode_30days_challenge/2020/November/Longest Mountain in Array.py | 027f86eb75dd45b219ebf43ad294d9e1baa32db8 | [] | no_license | MarianDanaila/Competitive-Programming | dd61298cc02ca3556ebc3394e8d635b57f58b4d2 | 3c5a662e931a5aa1934fba74b249bce65a5d75e2 | refs/heads/master | 2023-05-25T20:03:18.468713 | 2023-05-16T21:45:08 | 2023-05-16T21:45:08 | 254,296,597 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,061 | py | class Solution:
def longestMountain(self, A):
if len(A) < 3:
return 0
peak = False
max_length = curr_length = 1
for i in range(1, len(A)):
if A[i] > A[i - 1]:
if peak:
max_length = max(max_length, curr_length)
... | [
"mariandanaila01@gmail.com"
] | mariandanaila01@gmail.com |
010db5b2f3c269b146f0cb527d435487f4a08c5e | c548c10c4fd0b6c1d1c10cc645cb3b90b31f2de6 | /keras/keras35_4_load_model.py | b8b3c7da89651bd7a87c1f5e27aeb77c05f64640 | [] | no_license | sswwd95/Study | caf45bc3c8c4301260aaac6608042e53e60210b6 | 3c189090c76a68fb827cf8d6807ee1a5195d2b8b | refs/heads/master | 2023-06-02T21:44:00.518810 | 2021-06-26T03:01:26 | 2021-06-26T03:01:26 | 324,061,105 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,019 | py | import numpy as np
a = np.array(range(1,11))
size = 5
def split_x(seq, size):
aaa = []
for i in range(len(seq) - size +1):
subset = seq[i : (i+size)]
aaa.append(subset)
print(type(aaa))
return np.array(aaa)
dataset = split_x(a, size)
print("=======================")
print(dataset)
x =... | [
"sswwd95@gmail.com"
] | sswwd95@gmail.com |
e3d34ccc3b810f8a408faaffe681a75d70af1e98 | 213b8cab639c7d45cbf6a4fd46eb23e379d9d374 | /python/curses_examples/tutorial/05_center_text.py | a255e9f843510cbe683534ba35f7dd302d8b021c | [] | no_license | DevDungeon/Cookbook | f85b04b690ea0a202ddfaeda6460b6ba5797cb70 | a49a1c77f2b89dc303fa9f2563bb3c19777e4c6c | refs/heads/master | 2023-05-12T06:58:50.606019 | 2022-03-30T04:48:16 | 2022-03-30T04:48:16 | 34,371,982 | 307 | 94 | null | 2023-05-03T22:53:45 | 2015-04-22T06:02:53 | HTML | UTF-8 | Python | false | false | 651 | py | # Draw text to center of screen
import curses
import time
screen = curses.initscr()
num_rows, num_cols = screen.getmaxyx()
def print_center(message):
# Calculate center row
middle_row = int(num_rows / 2)
# Calculate center column, and then adjust starting position based
# on the length of the messag... | [
"nanodano@devdungeon.com"
] | nanodano@devdungeon.com |
1e4ec58320505450428e6b302e9b75e278535852 | cbd2f187fb60939c49a00f154570f53d4bb19910 | /rxpy/src/rxpy/engine/parallel/beam/engine.py | 3fab110bdf23a65bf2b9be38f20a95c3820dac6c | [] | no_license | andrewcooke/rxpy | 3c4443f3ccba479d936f0e49d7d009a64dfc89b3 | e7f330dc8c5fa49392a1a018ceda6312270e9a93 | refs/heads/master | 2021-01-10T13:46:37.129155 | 2011-06-03T23:29:58 | 2011-06-03T23:29:58 | 52,740,676 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,500 | py |
# The contents of this file are subject to the Mozilla Public License
# (MPL) Version 1.1 (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.mozilla.org/MPL/
# ... | [
"andrew@acooke.org"
] | andrew@acooke.org |
d6d449b80e62d56b88fbfb2e7e3bc89530bb83f6 | 1aa5216e8ed1fc53999637a46c6af0716a8a8cdf | /disk_snapshot_service/business_logic/locker_manager.py | 3668ebcb7834e64b93ca17fbb9226de6467e3525 | [] | no_license | ShawnYi5/DiskInProgress | c3a47fd5c52b1efeeaeee5b0de56626077a947a4 | b13d0cdcd0ab08b6dd5b106cda739d7c8ac9e41a | refs/heads/master | 2020-05-17T06:19:40.579905 | 2019-08-22T03:29:31 | 2019-08-22T03:29:31 | 183,555,060 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 549 | py | import threading
class LockWithTrace(object):
def __init__(self):
self._locker = threading.Lock()
self._current_trace = None
def acquire(self, trace):
self._locker.acquire()
self._current_trace = trace
return self
def release(self):
self._current_trace = ... | [
"yi.shihong@aliyun.com"
] | yi.shihong@aliyun.com |
576462d84b48c93ce54baefe84067f27897cbe9b | 9743d5fd24822f79c156ad112229e25adb9ed6f6 | /xai/brain/wordbase/adjectives/_neutral.py | 49c9babdf333c189682df5fb0fa4e46a59f17ec3 | [
"MIT"
] | permissive | cash2one/xai | de7adad1758f50dd6786bf0111e71a903f039b64 | e76f12c9f4dcf3ac1c7c08b0cc8844c0b0a104b6 | refs/heads/master | 2021-01-19T12:33:54.964379 | 2017-01-28T02:00:50 | 2017-01-28T02:00:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 801 | py |
#calss header
class _NEUTRAL():
def __init__(self,):
self.name = "NEUTRAL"
self.definitions = [u'not saying or doing anything that would encourage or help any of the groups involved in an argument or war: ', u'A neutral ground or field is a sports stadium that does not belong to either of the two teams taking p... | [
"xingwang1991@gmail.com"
] | xingwang1991@gmail.com |
7847b19733a6494cd75d660ff936f2f6c1b72c56 | 17658f39e410b6a179f4640e49ff86d86a6541ba | /taxonomic-annotation/reconcile.py | f76cf0b4962f05e96ca6ebeb9d0de3c6da90d91f | [
"MIT"
] | permissive | luispedro/Coelho2021_GMGCv1 | f91f82d3c78cf0773b69ce39cd0143d872933716 | caa9b5e156f5f74e147fde371e36ea259fee1407 | refs/heads/main | 2023-04-16T05:49:27.375227 | 2022-02-22T14:38:21 | 2022-02-22T14:38:21 | 368,166,901 | 14 | 8 | null | null | null | null | UTF-8 | Python | false | false | 1,654 | py | import pandas as pd
from taxonomic import ncbi
n = ncbi.NCBI()
taxonomic = pd.read_table('/g/bork1/coelho/DD_DeCaF/genecats.cold/GMGC10.taxonomic.map', index_col=0, engine='c')
species = pd.read_table('/g/bork1/coelho/DD_DeCaF/genecats.cold/GMGC10.species.match.map', header=None, usecols=[1,2], index_col=0, squeeze=Tr... | [
"luis@luispedro.org"
] | luis@luispedro.org |
a873f56004bb76bdee75e786e67d6e1897053095 | 2e682fd72e3feaa70e3f7bf2a3b83c50d783ec02 | /PyTorch/contrib/cv/semantic_segmentation/FastSCNN/segmentron/models/unet.py | f6425505373e615f46bcd51c550b3f3410fe3164 | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"BSD-3-Clause",
"LicenseRef-scancode-generic-cla",
"LicenseRef-scancode-unknown-license-reference",
"GPL-1.0-or-later"
] | permissive | Ascend/ModelZoo-PyTorch | 4c89414b9e2582cef9926d4670108a090c839d2d | 92acc188d3a0f634de58463b6676e70df83ef808 | refs/heads/master | 2023-07-19T12:40:00.512853 | 2023-07-17T02:48:18 | 2023-07-17T02:48:18 | 483,502,469 | 23 | 6 | Apache-2.0 | 2022-10-15T09:29:12 | 2022-04-20T04:11:18 | Python | UTF-8 | Python | false | false | 4,555 | py | # Copyright 2021 Huawei Technologies Co., Ltd
#
# 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 agree... | [
"wangjiangben@huawei.com"
] | wangjiangben@huawei.com |
c59757992997a99fd2580f5c29f1c4843bfa9307 | e4ee9f2ca60b60ea9fa1b05c982594a2c1b10484 | /day30 课堂笔记以及代码/day30/验证客户端合法性/server.py | 2e9c5a0e7e6055064d96994f662687f7d8d4dcdc | [] | no_license | tianshang486/Pythonlaonanhai | 100df2cc437aad1ee1baf45bdfc4500b1302092b | 2a5b46986f5ca684b2ae350596e293db54e1e2f4 | refs/heads/master | 2022-09-19T02:16:56.972160 | 2020-06-04T09:24:30 | 2020-06-04T09:24:30 | 269,314,860 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 692 | py | import os
import socket
import hashlib
secret_key = b'alex_sb'
sk = socket.socket()
sk.bind(('127.0.0.1',9001))
sk.listen()
conn,addr = sk.accept()
# 创建一个随机的字符串
rand = os.urandom(32)
# 发送随机字符串
conn.send(rand)
# 根据发送的字符串 + secrete key 进行摘要
sha = hashlib.sha1(secret_key)
sha.update(rand)
res = sha.hexdigest()
# 等待接收客... | [
"tianshang486@.com"
] | tianshang486@.com |
0007bb4b25661e5bdbf01bf24eb7cc44d2721b2d | b11899d2edfa17f88da4f45cc828f092125091a0 | /udacity/wsgi.py | 79b9e9c0657245bbc91b43c1df6900d525977d0f | [] | no_license | chemalle/udacity | 15726c03a108dc0e68952027e63b5689870cc5b0 | 69ee8e5acda4776df1f46c922b30ec799f5589af | refs/heads/master | 2020-03-09T14:11:32.381362 | 2018-04-09T20:17:43 | 2018-04-09T20:17:43 | 128,828,589 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 392 | py | """
WSGI config for udacity 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/1.11/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_SETT... | [
"chemalle@econobilidade.com"
] | chemalle@econobilidade.com |
84cd1164a4f1b0551e720d90ed604c3b8a83c45b | d83fde3c891f44014f5339572dc72ebf62c38663 | /_bin/google-cloud-sdk/.install/.backup/lib/surface/access_context_manager/levels/__init__.py | fd037667cf0efbce2318d315932364a60be5025f | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | permissive | gyaresu/dotfiles | 047cc3ca70f4b405ba272856c69ee491a79d2ebe | e5e533b3a081b42e9492b228f308f6833b670cfe | refs/heads/master | 2022-11-24T01:12:49.435037 | 2022-11-01T16:58:13 | 2022-11-01T16:58:13 | 17,139,657 | 1 | 1 | null | 2020-07-25T14:11:43 | 2014-02-24T14:59:59 | Python | UTF-8 | Python | false | false | 1,021 | py | # Copyright 2017 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 ag... | [
"me@gareth.codes"
] | me@gareth.codes |
71b112d6742fd0c9701974a2bddaacf7c0f5fc91 | dde1cf596cf5969812ecda999828baa9c73e788d | /isi_sdk_8_1_1/api/sync_policies_api.py | b89f81af89e7ae2f788de9d37722a0e1d4e5d839 | [] | no_license | dctalbot/isilon_sdk_python3.7 | bea22c91096d80952c932d6bf406b433af7f8e21 | 4d9936cf4b9e6acbc76548167b955a7ba8e9418d | refs/heads/master | 2020-04-25T20:56:45.523351 | 2019-02-28T19:32:11 | 2019-02-28T19:32:11 | 173,065,379 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,319 | py | # coding: utf-8
"""
Isilon SDK
Isilon SDK - Language bindings for the OneFS API # noqa: E501
OpenAPI spec version: 6
Contact: sdk@isilon.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and pyth... | [
"dctalbot@umich.edu"
] | dctalbot@umich.edu |
a720749f0cff19ebb480f74da0728b668a147c1e | 276e15e7426b97ae550e45f2f7ffb6c3acc3ce07 | /company/meituan/1.py | 2f23806abc88bfd559908d4e1caca1b0600cb164 | [] | no_license | JDer-liuodngkai/LeetCode | 1115b946a1495622b1a5905257a8c92523022b8b | 4ca0ec2ab9510b12b7e8c65af52dee719f099ea6 | refs/heads/master | 2023-03-25T03:43:16.630977 | 2020-11-13T00:44:01 | 2020-11-13T00:44:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 973 | py | """
每天最多 n 个，各有1个正整数重量
已做好 m 个
买 最重 最轻 a,b; 保证 a/b 大小关系
剩余 n - m 在烤
"""
# 不保证 a/b 大小关系
# 1 ≤ n,m,a,b ≤ 1000 , m≤n , 蛋糕重量不会超过1000
def cake():
vmax, vmin = max(arr), min(arr)
tmax, tmin = max(a, b), min(a, b)
# 已做出的蛋糕 不满足要求
if vmax > tmax or vmin < tmin:
return 'NO'
# 仍在区间内
remain = ... | [
"shuaixie@zju.edu.cn"
] | shuaixie@zju.edu.cn |
1c15f3b8d623086176e436fd2f27d05307235689 | caed98915a93639e0a56b8296c16e96c7d9a15ab | /Walmart Labs/Container With Most Water.py | fa9f0a5f15d485592776bc34920e9a6c3966b44c | [] | no_license | PiyushChandra17/365-Days-Of-LeetCode | 0647787ec7e8f1baf10b6bfc687bba06f635838c | 7e9e9d146423ca2c5b1c6a3831f21dd85fa376d5 | refs/heads/main | 2023-02-13T10:41:36.110303 | 2021-01-17T11:58:51 | 2021-01-17T11:58:51 | 319,974,573 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 318 | py | class Solution:
def maxArea(self, height: List[int]) -> int:
i,j = 0,len(height)-1
water = 0
while i < j:
water = max(water,(j-i)*min(height[i],height[j]))
if height[i] < height[j]:
i += 1
else:
j -= 1
return water | [
"noreply@github.com"
] | PiyushChandra17.noreply@github.com |
7221f4e4fe00f96cc27131f8659619b01f6e8124 | 84bdc0fd6aaaac7c519866fef855be8eae88a80f | /0x07-python-classes/3-square.py | 1c50d5d34600f02b131a03adfde770787a230345 | [] | no_license | KatyaKalache/holbertonschool-higher_level_programming | b74ca3e3c32ded6f54a40748775d0d4475e32409 | e746a41ccb3f268c9d6d4578b80a0b9e7cf7d067 | refs/heads/master | 2021-01-20T02:29:04.972257 | 2017-10-11T06:24:17 | 2017-10-11T06:24:17 | 89,413,672 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 311 | py | #!/usr/bin/python3
class Square:
def __init__(self, size=0):
if not isinstance(size, int):
raise TypeError("size must be an integer")
if (size < 0):
raise ValueError("size must be >= 0")
self.__size = size
def area(self):
return self.__size ** 2
| [
"katya@kalache.fr"
] | katya@kalache.fr |
f3ae81f967741b44a1451c0540bfd316e877f45c | 9804b20e9bbd2b4ac405700b920b93fb0b4394c0 | /server/plugins/admin.py | 2d1770caa66eb0d80b9d35ee8f10c5ece83289ef | [] | no_license | jonathanverner/brython-misc | ba5c53989159fdf1684cc956e51e6a22728ca75b | b9d6d243000aa0c4dc587fbcd0e6cf3e7359a9fe | refs/heads/master | 2020-04-06T07:02:30.362571 | 2016-08-20T11:28:22 | 2016-08-20T11:28:22 | 58,376,490 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 263 | py | from ..lib.tornado import RPCService, export
from tornado.gen import coroutine
class AdminService(RPCService):
SERVICE_NAME='admin'
@coroutine
@export
def persists_storage(self):
yield self._api.store.persist()
services = [AdminService] | [
"jonathan.verner@matfyz.cz"
] | jonathan.verner@matfyz.cz |
1e3830f608817ee5f8ae218d7fe951a627fe886e | 09e57dd1374713f06b70d7b37a580130d9bbab0d | /benchmark/startCirq2360.py | e567cdcc03d3850100d2ad44ef059ff6d601d9e8 | [
"BSD-3-Clause"
] | permissive | UCLA-SEAL/QDiff | ad53650034897abb5941e74539e3aee8edb600ab | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | refs/heads/main | 2023-08-05T04:52:24.961998 | 2021-09-19T02:56:16 | 2021-09-19T02:56:16 | 405,159,939 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,005 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 5/15/20 4:49 PM
# @File : grover.py
# qubit number=4
# total number=36
import cirq
import cirq.google as cg
from typing import Optional
import sys
from math import log2
import numpy as np
#thatsNoCode
from cirq.contrib.svg import SVGCircuit
# Symbols for... | [
"wangjiyuan123@yeah.net"
] | wangjiyuan123@yeah.net |
5bdfd26ec6382992c81f1083de5d813e77df1989 | 41710e9133d660739f8f9f17040a2a8a6082e9fb | /python/aa_modules/argsparse/mutually_exclusive1.py | 922f775acf7b00de572185f03d88335e0519a460 | [] | no_license | hanjiangxue007/Programming | 591678150e2e300051fdeaf09124d3893076d3a9 | 7a545ef2300b004497f30d27d1f2aaa032e26af5 | refs/heads/master | 2020-06-29T18:50:27.776557 | 2016-10-27T18:31:39 | 2016-10-27T18:31:39 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 838 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Author : Bhishan Poudel; Physics PhD Student, Ohio University
# Date : Oct-15-2016 Sat
# Last update :
#
# Ref: https://docs.python.org/3.5/howto/argparse.html
#
# Imports
import argparse
parser = argparse.ArgumentParser(description="calculate X to the powe... | [
"bhishantryphysics@gmail.com"
] | bhishantryphysics@gmail.com |
92aea1fc2467f5278d784d1a69ffb5aecdbbc629 | 1858001ecc913ad5270f12b2e69e46eead3c7970 | /awx/main/tests/functional/models/test_job_options.py | c601413a5d8f46e7ff479e88b5d1b8d2466d3b78 | [
"Apache-2.0"
] | permissive | mabashian/awx | e3274046cabe3e539bf842f1f8ee2409efb28677 | 904cb4af34141ca0cfec6f597eb8016e575a670e | refs/heads/devel | 2023-09-04T04:30:31.256861 | 2017-09-22T17:39:24 | 2017-09-22T17:39:24 | 104,504,771 | 0 | 1 | Apache-2.0 | 2021-03-22T20:41:15 | 2017-09-22T18:12:24 | Python | UTF-8 | Python | false | false | 1,245 | py | import pytest
from django.core.exceptions import ValidationError
from awx.main.models import Credential
@pytest.mark.django_db
def test_clean_credential_with_ssh_type(credentialtype_ssh, job_template):
credential = Credential(
name='My Credential',
credential_type=credentialtype_ssh
)
cre... | [
"rpetrell@redhat.com"
] | rpetrell@redhat.com |
7963ef741b939e0ecb1eb8a00e0e97309e07b69b | 8a378ddae37f834a1c00ba6e63d3ff8f9cabbffb | /tailpos_sync/tailpos_sync/report/product_bundle__register_report/other_methods.py | 44e1da2be0547326648c3e5adb24f39630bb769d | [
"MIT"
] | permissive | aakvatech/tailpos-sync | 2985d998d0e7ee394c68da578e19819f00cc4acd | 7f199459769395d8d21e8effad1af39b1512c205 | refs/heads/master | 2020-09-08T19:16:57.633724 | 2020-04-22T05:56:49 | 2020-04-22T05:56:49 | 221,221,323 | 2 | 0 | NOASSERTION | 2020-04-22T05:56:50 | 2019-11-12T13:13:32 | null | UTF-8 | Python | false | false | 5,896 | py | import frappe
def get_columns(columns):
columns.append({"fieldname": "invoice_date", "label": "Invoice Date", "fieldtype": "Data", "width": 150})
columns.append({"fieldname": "invoice_number", "label": "Invoice Number", "fieldtype": "Link", "options": "Sales Invoice", "width": 150, })
columns.append({"fi... | [
"jangeles@bai.ph"
] | jangeles@bai.ph |
ada51a31e0faed934a41299946478c420f2573b6 | 4d51aa09c7b65d2c54212a3004794a50f36a7a89 | /leetcode/DP/213.HouseRobber/213HouserRoober.py | 87c13157a361c4607ac3426c9c4425ec78b843c3 | [] | no_license | letterbeezps/leetcode-algorithm | 30bd7335e96fdcca3c3ec1269c1c6fa78afd2f3b | b6211b1bfd699e45164a8cb5a8fbf2b4ec9756f9 | refs/heads/master | 2021-07-06T18:29:18.666607 | 2020-08-06T17:52:50 | 2020-08-06T17:52:50 | 158,728,987 | 10 | 2 | null | 2020-08-06T17:50:17 | 2018-11-22T16:56:13 | JavaScript | UTF-8 | Python | false | false | 674 | py | class Solution:
def rob(self, nums: List[int]) -> int:
if not nums:
return 0
if len(nums) <= 3:
return max(nums)
if len(nums) == 4:
return max(nums[0]+nums[2], nums[1]+nums[3])
n = len(nums)
f = [0] * n
num1 = nums[:-1]
... | [
"unlimitedzazp@outlook.com"
] | unlimitedzazp@outlook.com |
5d758d4d95cc1b6405db90c73d4118106a45b53a | 6219e6536774e8eeb4cadc4a84f6f2bea376c1b0 | /scraper/storage_spiders/aobongdacom.py | 73b1780602e6b41472488d0a26444813f9b8abeb | [
"MIT"
] | permissive | nguyenminhthai/choinho | 109d354b410b92784a9737f020894d073bea1534 | d2a216fe7a5064d73cdee3e928a7beef7f511fd1 | refs/heads/master | 2023-05-07T16:51:46.667755 | 2019-10-22T07:53:41 | 2019-10-22T07:53:41 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 927 | py | # Auto generated by generator.py. Delete this line if you make modification.
from scrapy.spiders import Rule
from scrapy.linkextractors import LinkExtractor
XPATH = {
'name' : "//h1[@class='product-title']",
'price' : "//div[@class='price-box']/h4[@class='product-price']",
'category' : "//ol[@class='breadc... | [
"nguyenchungthuy.hust@gmail.com"
] | nguyenchungthuy.hust@gmail.com |
4a1e2aa3c3a7ae5b3de5e9f843d7313f73b1a3d0 | 9b3f578e63a7e17e2b1bab5f38aa8625b8a80251 | /descarteslabs/workflows/types/array/array_.py | 30e0fa674c82ddb4c8c20b53cc3d60ea823a17f7 | [
"Apache-2.0"
] | permissive | carderne/descarteslabs-python | e6f7000f08cd1569e0ddd0f7fb8e53abb6765183 | 757b480efb8d58474a3bf07f1dbd90652b46ed64 | refs/heads/master | 2022-12-09T23:19:02.361226 | 2020-08-13T11:52:30 | 2020-08-13T11:52:30 | 287,264,851 | 0 | 0 | NOASSERTION | 2020-08-13T11:46:58 | 2020-08-13T11:46:57 | null | UTF-8 | Python | false | false | 3,060 | py | import numpy as np
from descarteslabs.common.graft import client
from ...cereal import serializable
from ..core import ProxyTypeError
from ..containers import List
from ..primitives import Int, Float, Bool
from .base_array import BaseArray
DTYPE_KIND_TO_WF = {"b": Bool, "i": Int, "f": Float}
WF_TO_DTYPE_KIND = dict... | [
"support@descarteslabs.com"
] | support@descarteslabs.com |
395840ba68ac389c3468cbd55fcc66294d3322da | c2f42e145c03feb891d83ea294cdda9f37cfc717 | /src/modelling/capacity_planning/erlang/erlangb.py | 7695f16ce57e10ce6be5b40622e5f76eb9e2d211 | [] | no_license | FelixKleineBoesing/queuingSystem | 5b38c123f206d9c71014064404b2f50f0f4491a5 | 09ff583831aa7f8b604f01dc97cf0284ed342f77 | refs/heads/master | 2023-04-12T00:00:20.309232 | 2021-04-25T11:55:04 | 2021-04-25T11:55:04 | 361,413,917 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 835 | py | import numpy as np
from src.modelling.capacity_planning.erlang.erlang_base import ErlangBase
from src.modelling.helpers import power_faculty
class ErlangB(ErlangBase):
def get_probability(self, number_agents: int, lambda_: float, mu: float):
"""
calculates the probability that there are c number... | [
"felix.boesing@t-online.de"
] | felix.boesing@t-online.de |
9899e3436a3df3f0622c8329670adccfbfa8ae22 | f8961fc56e95ea75f2edbb08fae5ad1af102f6f0 | /chapter_12/when_to_use_threading.py | 08613b1bc4647ea050623289f895564f0a8b60d5 | [] | no_license | larago/python_cookbook | eb2cea7425033802775a168d63199eb8e43e2d50 | 34abdb173c78d9eea046707f88a4bd976dfa26e9 | refs/heads/master | 2021-01-09T20:12:50.605774 | 2016-07-13T14:06:22 | 2016-07-13T14:06:22 | 63,230,687 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 581 | py | # GIL limit python only run in single thread, not proper to run cpu concentration task
# Better to handle them with mutiple cpu
# But thread is appropriate to use when handling potential blocking muti-task
# like IO / get result from databse these kind of jobs
from threading import Thread
class CountdownThread(Thread... | [
"bingeye@foxmail.com"
] | bingeye@foxmail.com |
a8b67575d0a9a5cbdc8f1fe45b98a99aa43eb729 | 1978a9455159b7c2f3286e0ad602652bc5277ffa | /exercises/05_basic_scripts/task_5_1c.py | 4613a5511bcd55aadf4fb864116bb31116c9e7d4 | [] | no_license | fortredux/py_net_eng | 338fd7a80debbeda55b5915dbfba4f5577279ef0 | 61cf0b2a355d519c58bc9f2b59d7e5d224922890 | refs/heads/master | 2020-12-03T17:32:53.598813 | 2020-04-08T20:55:45 | 2020-04-08T20:55:45 | 231,409,656 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,620 | py | # -*- coding: utf-8 -*-
'''
Задание 5.1c
Переделать скрипт из задания 5.1b таким образом, чтобы, при запросе параметра,
которого нет в словаре устройства, отображалось сообщение 'Такого параметра нет'.
> Попробуйте набрать неправильное имя параметра или несуществующий параметр,
чтобы увидеть какой будет результат. А ... | [
"fortunaredux@protonmail.com"
] | fortunaredux@protonmail.com |
e48b036b804b5b19e1e4bd9da499b64f55ab174e | fcc955fd5b3fc997f5b1651c5c8b9032a6b9b177 | /bqskit/passes/search/generator.py | e9d081a87e21f8745e3f3d6b693ef54e11204717 | [
"LicenseRef-scancode-unknown-license-reference",
"BSD-2-Clause"
] | permissive | BQSKit/bqskit | cf393d75b26349f7258e9caf9d5c8fa37d0c8de6 | c89112d15072e8ffffb68cf1757b184e2aeb3dc8 | refs/heads/main | 2023-09-01T04:11:18.212722 | 2023-08-29T17:34:38 | 2023-08-29T17:34:38 | 331,370,483 | 54 | 18 | NOASSERTION | 2023-09-14T14:33:26 | 2021-01-20T16:49:36 | OpenQASM | UTF-8 | Python | false | false | 926 | py | """This module implements the LayerGenerator base class."""
from __future__ import annotations
import abc
from bqskit.compiler.passdata import PassData
from bqskit.ir.circuit import Circuit
from bqskit.qis.state.state import StateVector
from bqskit.qis.state.system import StateSystem
from bqskit.qis.unitary.unitaryma... | [
"edyounis123@gmail.com"
] | edyounis123@gmail.com |
5856221a71dc642ec3f93b8731bbf1ea07fa2377 | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p03806/s174409855.py | f3f10e7dddb189ad08ecede3f07387e8d52479df | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 696 | py | import sys
input = sys.stdin.buffer.readline
N, Ma, Mb = map(int, input().split())
ABC = [list(map(int, input().split())) for _ in range(N)]
sumA = sum([ABC[i][0] for i in range(N)])
sumB = sum([ABC[i][1] for i in range(N)])
INF = 10 ** 15
dp = [[INF for j in range(sumB + 1)] for i in range(sumA + 1)]
dp[0][0] = 0
... | [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
4348f18e7053dec8ee530cf954bd323e2780a2a6 | 83de24182a7af33c43ee340b57755e73275149ae | /aliyun-python-sdk-drds/aliyunsdkdrds/request/v20190123/DescribeDbInstancesRequest.py | 4fc670ea5087265f9b54638259b120fe48033076 | [
"Apache-2.0"
] | permissive | aliyun/aliyun-openapi-python-sdk | 4436ca6c57190ceadbc80f0b1c35b1ab13c00c7f | 83fd547946fd6772cf26f338d9653f4316c81d3c | refs/heads/master | 2023-08-04T12:32:57.028821 | 2023-08-04T06:00:29 | 2023-08-04T06:00:29 | 39,558,861 | 1,080 | 721 | NOASSERTION | 2023-09-14T08:51:06 | 2015-07-23T09:39:45 | Python | UTF-8 | Python | false | false | 2,127 | py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | [
"sdk-team@alibabacloud.com"
] | sdk-team@alibabacloud.com |
429edffa026b5304c1b8fa929f0ee668951964d3 | 43e2e801f6df426a9b923828e8ee3c0b0f022c66 | /vocab.py | ea1b9279eff7d539a5a6955ac364e0923c3847ee | [
"MIT"
] | permissive | mrdrozdov/knnlm | 0333eadbd1d0c6e16521475dc07d57d7dce8b02e | 61419077eb7f79c3ba7a196b4cc7cf722f4ba8f4 | refs/heads/master | 2023-04-19T14:13:58.242980 | 2021-05-20T02:34:17 | 2021-05-20T02:34:17 | 317,321,152 | 0 | 0 | MIT | 2021-01-26T17:44:06 | 2020-11-30T19:12:33 | null | UTF-8 | Python | false | false | 5,773 | py | import collections
class Dictionary(object):
"""
A mapping from symbols to consecutive integers.
Taken from fairseq repo.
"""
def __init__(
self,
pad="<pad>",
eos="</s>",
unk="<unk>",
bos="<s>",
extra_special_symbols=None,
):
self.unk_w... | [
"andrew@mrdrozdov.com"
] | andrew@mrdrozdov.com |
0ec7be58bdfad20324b305d2f182ce221998241b | 721406d87f5086cfa0ab8335a936ece839ab2451 | /.venv/lib/python3.8/site-packages/opencensus/trace/config_integration.py | a0d8e5d3c146b4424f29d79fecff324c6344b651 | [
"MIT"
] | permissive | MarkusMeyer13/graph-teams-presence | 661296b763fe9e204fe1e057e8bd6ff215ab3936 | c302b79248f31623a1b209e098afc4f85d96228d | refs/heads/main | 2023-07-09T03:34:57.344692 | 2021-07-29T07:16:45 | 2021-07-29T07:16:45 | 389,268,821 | 0 | 0 | MIT | 2021-07-29T07:16:46 | 2021-07-25T05:23:08 | Python | UTF-8 | Python | false | false | 1,330 | py | # Copyright 2017, OpenCensus Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed... | [
"meyer_markus@gmx.de"
] | meyer_markus@gmx.de |
fd29d423ff124d7289cca464d2dbd43fdc7dae05 | 8f6cc0e8bd15067f1d9161a4b178383e62377bc7 | /__OLD_CODE_STORAGE/tensorflow_PLAYGROUND/lessons/from_internet/uuuuu.py | 3fc0fc1f64c4d43958978fe8396f928cf7251a2f | [] | no_license | humorbeing/python_github | 9c4dfc61a3cefbb266fefff335f6b28d05797e5e | e4b4b49bee7e7e3843c6874717779ce8d619bd02 | refs/heads/master | 2023-01-22T21:51:20.193131 | 2020-01-26T21:47:23 | 2020-01-26T21:47:23 | 163,707,778 | 0 | 0 | null | 2022-12-27T15:37:48 | 2019-01-01T01:58:18 | Python | UTF-8 | Python | false | false | 2,703 | py | import numpy as np
import tensorflow_playground as tf
from tensorflow_playground.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)
image_size = 28
labels_size = 10
learning_rate = 0.05
steps_number = 1000
batch_size = 100
tf.logging.set_verbosity(tf.logging.IN... | [
"geemguang@gmail.com"
] | geemguang@gmail.com |
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