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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
6552dea2d2667854202895aec4f0df5259855cbc | b0f6dbd92c368bd68fa1aafd67fdde9c323ab1be | /config.py | 578b0ee4e0b9ed526e8784e67ae9a7c91b5a685d | [
"Apache-2.0"
] | permissive | niezhongliang/InsightFace-v3 | ac62cff7d4aeb957fac9189ccca26976f9a045e9 | e10cefec3bf0c465c92c42980ecbdb32eacc6dd5 | refs/heads/master | 2020-09-15T20:36:16.087481 | 2019-11-23T00:23:46 | 2019-11-23T00:23:46 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,130 | py | import logging
import os
import torch
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') # sets device for model and PyTorch tensors
# Model parameters
image_w = 112
image_h = 112
channel = 3
emb_size = 512
# Training parameters
num_workers = 8 # for data-loading; right now, only 1 works with h... | [
"liuyang12@focusmedia.cn"
] | liuyang12@focusmedia.cn |
f9460bdd828edd3892ba9506260ad360ad7bfbad | ef3a7391b0a5c5d8e276355e97cbe4de621d500c | /venv/Lib/site-packages/thinc/neural/train.py | 1a0492b1e6ef38288d5f82838d0e13063fc3efe1 | [
"MIT",
"Apache-2.0"
] | permissive | countBMB/BenjiRepo | 143f6da5d198ea6f06404b4559e1f4528b71b3eb | 79d882263baaf2a11654ca67d2e5593074d36dfa | refs/heads/master | 2022-12-11T07:37:04.807143 | 2019-12-25T11:26:29 | 2019-12-25T11:26:29 | 230,090,428 | 1 | 1 | Apache-2.0 | 2022-12-08T03:21:09 | 2019-12-25T11:05:59 | Python | UTF-8 | Python | false | false | 1,862 | py | # coding: utf8
from __future__ import unicode_literals
import numpy.random
from tqdm import tqdm
from .optimizers import Adam, linear_decay
class Trainer(object):
def __init__(self, model, **cfg):
self.ops = model.ops
self.model = model
self.L2 = cfg.get("L2", 0.0)
self.optimizer... | [
"bengmen92@gmail.com"
] | bengmen92@gmail.com |
85a20a5685d762ddec4eeda36978c63036c74206 | 6a01a9287a4c23c7f11b7c5399cfb96bbe42eba8 | /python/scripts/make_id_table_with_diff_expr.py | 314e25e631430921796b32ad7d8d52c104d61aff | [
"MIT"
] | permissive | xguse/gmm-to-gff-transcripts-vs-snps | 3c25bf2752aee76174d5dab92060fe7269caf99f | 75337135ab8ff6d840af3cfccfe6404a06777a54 | refs/heads/master | 2021-01-19T01:50:33.473897 | 2016-08-02T20:31:18 | 2016-08-02T20:31:18 | 54,731,430 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,455 | py | """Describe here what this rule accomplishes."""
import pandas as pd
import numpy as np
# Settings
edger_results_labels = snakemake.params.edger_results_labels
cufflinks_results_labels = snakemake.params.cufflinks_results_labels
# input
edger_results = snakemake.input.edger_results
cufflinks_results = snakemake.inp... | [
"wadunn83@gmail.com"
] | wadunn83@gmail.com |
f258f81afafb2186624f0028d7416f7aca37869d | 3114430ce15c18281117459e26eea4b774e3998a | /day4/accounts/models.py | 1fd9d1bf8a13f354846f792bd07b42ea810b5486 | [
"MIT"
] | permissive | Joseamica/Easily-written-Django | c02e7333e84ca2257b7b8bfae3f6732898c5000a | 0b746638751702c453db9490fe29ef6d34e4a3bc | refs/heads/master | 2021-05-27T20:25:41.341149 | 2014-05-25T08:25:53 | 2014-05-25T08:25:53 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 445 | py | from django.db import models
from django.contrib.auth.models import User
import hashlib
# Create your models here.
class Account(models.Model):
user = models.OneToOneField(User)
def gravatar_url(self):
return "http://www.gravatar.com/avatar/%s?s=50" % hashlib.md5(self.user.email).hexdigest()
def ... | [
"carpedm20@gmail.com"
] | carpedm20@gmail.com |
538fc3e6a7b554c75a45025f802bf9fb341dae19 | d6e287bbba11be4906e599d1362c9ef89c4fb9de | /modules/utils/datasets/__init__.py | 53671ef9604559f6da0848293411281007d9f83b | [
"MIT"
] | permissive | bityangke/WSDDN.pytorch-1 | 67d52f158238f2d5b234ddefeb7f05f06bf6b123 | 9a67323c80566cacc762c68021824aa80a82c524 | refs/heads/master | 2022-11-15T00:22:44.903418 | 2020-07-06T13:43:22 | 2020-07-06T13:43:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 201 | py | '''import all'''
from .Sampler import GroupSampler
from .VOCDataset import VOCDataset
from .Builder import buildDataloader
'''define alll'''
__all__ = ['GroupSampler', 'VOCDataset', 'buildDataloader'] | [
"1159254961@qq.com"
] | 1159254961@qq.com |
826f60594002015e659cc80aca283bfe601d0b98 | 0c958692bb3abf99ecbd03bd75a605b202d4da5a | /CRAB/MuNu/synch/2014ocbr24/synchThree.py | 0bc6084ab362fd99b029e74554cc6bfc9b96b5f1 | [] | no_license | tmrhombus/UWAnalysis | a9ed18a7ba8726522c8d98fbdc018c77d80c5cc5 | eb9e0794e1b847f36c660a55d3631176a39148e2 | refs/heads/master | 2021-01-23T20:46:41.578341 | 2017-05-01T08:26:57 | 2017-05-01T08:26:57 | 10,620,824 | 0 | 0 | null | 2014-10-21T11:21:16 | 2013-06-11T12:19:43 | Python | UTF-8 | Python | false | false | 4,427 | py | cut = 'C1_data_2014ocbr23_m12e10_smrGenNu_clnMu'
#cut = 'C3_tt_2014ocbr23_m12e10_smrGenNu_clnMu'
andreas_events = set([line.strip() for line in open('./comp/%s_and.txt'%(cut))])
jelenas_events = set([line.strip() for line in open('./comp/%s_jel.txt'%(cut))])
toms_events = set([line.strip() for line in open('./comp/%... | [
"tperry@cern.ch"
] | tperry@cern.ch |
6d8ce22c751efd861956be268dafc8c2f00f3fbd | c0acf82a18b8e90cd38afedb02e45e53425a067e | /pyecharts/custom/overlap.py | e2cdd57622347e115a2fe03fcdc86c1ef34f05fd | [
"MIT"
] | permissive | caideyang/pyecharts | 66b61d0400ea15b25ef7fb90f7305647343eea3a | c13f2fecece566359b2c881705bf96337c42ce40 | refs/heads/master | 2021-01-22T13:48:00.474761 | 2017-08-18T07:09:53 | 2017-08-18T07:09:53 | 100,685,801 | 1 | 0 | null | 2017-08-18T07:31:13 | 2017-08-18T07:31:13 | null | UTF-8 | Python | false | false | 1,609 | py | #!/usr/bin/env python
# coding=utf-8
class Overlap(object):
def __init__(self):
self._chart = None
def add(self, chart):
"""
:param chart:
chart instance
:return:
"""
if self._chart is None:
self._chart = chart
else:
... | [
"chenjiandongx@qq.com"
] | chenjiandongx@qq.com |
003d9d838b7372a3284b30915aec63707830d821 | ef20884169d10ec9ac4d1d3b77ee35245d248294 | /practice/deep-learning-from-scratch-2/np_random_choice.py | 9360dbb41512575e33d9d1d800f8a11e55fdeec2 | [] | no_license | heaven324/Deeplearning | 64016671879cdf1742eff6f374cfb640cfc708ae | a7a8d590fa13f53348f83f8c808538affbc7b3e8 | refs/heads/master | 2023-05-05T08:54:27.888155 | 2021-05-22T08:25:47 | 2021-05-22T08:25:47 | 188,010,607 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 727 | py | import numpy as np
print(np.random.choice(10)) # 5
print(np.random.choice(10)) # 9
# words에서 하나만 무작위로 샘플링
words = ['you', 'say', 'goodbye', 'I', 'hello', '.']
print(np.random.choice(words))
# 5개만 무작위로 샘플링(중복 있음)
print(np.random.choice(words, size = 5))
# 5개만 무작위로 샘플링(중복 없음)
print(np.random.choice(words, size =... | [
"wjdtjdgh2005@gmail.com"
] | wjdtjdgh2005@gmail.com |
778459e47142827e3629b6af6b3dbfc2ccc5d25e | ce990be34e8759efb96b890d9676da313fd2d9b4 | /tests/python/contrib/test_ethosu/cascader/test_plan.py | ddc40b49ac8a8de119af6b9b19d208ef745f4899 | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference",
"Unlicense",
"Zlib",
"MIT",
"Apache-2.0",
"BSD-2-Clause"
] | permissive | tmoreau89/tvm | 291c0b1beb13503e18b1e45f135aaf334660b68d | 8136173a631bf6c7274d26285349225fcf6e495f | refs/heads/master | 2022-11-23T08:36:24.853648 | 2022-11-21T07:36:57 | 2022-11-21T07:36:57 | 119,757,672 | 5 | 1 | Apache-2.0 | 2019-03-22T23:06:53 | 2018-01-31T23:41:33 | Python | UTF-8 | Python | false | false | 7,708 | 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... | [
"noreply@github.com"
] | tmoreau89.noreply@github.com |
b57aa04bb1157d20423de65671bee218d8715f6d | 730b92e439dbb013950b8bbf417cfde1bb40f8b9 | /Python/Add-Binary.py | 8b8be13ae529418ef8672901ffeb760e078c1eb4 | [] | no_license | yuede/Lintcode | fdbca5984c2860c8b532b5f4d99bce400b0b26d0 | d40b7ca1c03af7005cc78b26b877a769ca0ab723 | refs/heads/master | 2021-01-13T04:14:32.754210 | 2015-08-22T13:15:54 | 2015-08-22T13:15:54 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 833 | py | class Solution:
# @param {string} a a number
# @param {string} b a number
# @return {string} the result
def addBinary(self, a, b):
# Write your code here
pa = len(a) - 1
pb = len(b) - 1
s = ""
d = 0
while pa >= 0 and pb >= 0:
cur = d + int(a[pa... | [
"jiangyi0425@gmail.com"
] | jiangyi0425@gmail.com |
97a5797d6b970d29dbea2c4c90e09131f13ca91c | e5efada3529d94875455c4230c8dabe27fb72a89 | /apps/search/migrations/0015_advancedsearchpage_simplesearchpage.py | 74a14dceeeef2ab60fb56655bb00ed68b2a72af6 | [] | no_license | alexmon1989/uma | d8c321fb0ec9b1a9039b1c83aeaaff774f657416 | 5dea579d634eeb1c8103c21157299b33ca5590f0 | refs/heads/master | 2023-08-03T04:31:13.598577 | 2023-07-22T18:17:13 | 2023-07-22T18:17:13 | 154,835,498 | 0 | 0 | null | 2023-03-02T11:20:54 | 2018-10-26T13:02:12 | Nunjucks | UTF-8 | Python | false | false | 1,712 | py | # Generated by Django 2.1.3 on 2019-10-10 13:38
import ckeditor_uploader.fields
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('search', '0014_auto_20190719_1155'),
]
operations = [
migrations.CreateModel(
name='AdvancedSear... | [
"alex.mon1989@gmail.com"
] | alex.mon1989@gmail.com |
52980438ee437a5977680307d4b13bd673f3b1a3 | 6d7a67be5c2aa1bcebdcfd5bec855c0172c8f01f | /convert_weight.py | 55566963e7439f9fb4e9649bdd289f5114337916 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference",
"BSD-2-Clause",
"Apache-2.0"
] | permissive | JWHennessey/stylegan2-pytorch-1 | 19184e1713b9bcfce6404fb6d19478f1dbcc56ec | 88852e3695d3ffd9281787690c3f8796dc1e225a | refs/heads/master | 2020-12-11T17:17:04.082956 | 2020-01-14T18:44:39 | 2020-01-14T18:44:39 | 233,909,977 | 0 | 0 | NOASSERTION | 2020-01-14T18:37:33 | 2020-01-14T18:37:32 | null | UTF-8 | Python | false | false | 6,849 | py | import argparse
import os
import sys
import pickle
import math
import torch
import numpy as np
from torchvision import utils
from model import Generator, Discriminator
def convert_modconv(vars, source_name, target_name, flip=False):
weight = vars[source_name + '/weight'].value().eval()
mod_weight = vars[sou... | [
"kim.seonghyeon@snu.ac.kr"
] | kim.seonghyeon@snu.ac.kr |
782a5e2a11fe39696a75f0f5a033a5af024cc786 | f8ffac4fa0dbe27316fa443a16df8a3f1f5cff05 | /Python/Counting_Valleys.py | db3c7a3eda8be589ae74a986fadb83c8e44b2c00 | [] | no_license | ankitniranjan/HackerrankSolutions | e27073f9837787a8af7a0157d95612028c07c974 | e110c72d3b137cf4c5cef6e91f58a17452c54c08 | refs/heads/master | 2023-03-16T19:06:17.805307 | 2021-03-09T16:28:39 | 2021-03-09T16:28:39 | 292,994,949 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 528 | py | import math
import os
import random
import re
import sys
# Complete the countingValleys function below.
def countingValleys(n, s):
level=valley=0
for i in range(n):
if(s[i]=='U'):
level+=1
if(level==0):
valley+=1
else:
level-=1
return... | [
"noreply@github.com"
] | ankitniranjan.noreply@github.com |
ab55393ddc0e46a0f229ce84b50466d0ac1cb266 | 65701888f7e09716b83ddbb965a50b7c62b0f287 | /blocks/google/common_block.py | fb2ba923f68bc8aedfef5cc46a894ff664e758b9 | [] | no_license | ColinKennedy/auto_docstring | 6a4a27c16434cb6d94db435226758a09627d9252 | dbca838630faf410a277069aedbecb82cfeedae9 | refs/heads/master | 2021-04-12T12:36:31.825008 | 2018-11-05T01:49:49 | 2018-11-05T01:49:49 | 89,107,892 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,343 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# TODO : Just had an idea. Why not change the gross "if X.is_valid(obj): return X(obj)
# into a single classmethod? That'd look way better and potentially be
# easier to loop over
#
'''The classes and functions needed to parse the types of all astroid nodes.
... | [
"colinvfx@gmail.com"
] | colinvfx@gmail.com |
9b5f678ee01f74948e3abe78205622ca733d1def | f6d96e9505103428402ea9772fdd0b48c4dff7e9 | /tests/test_models/test_place.py | 4bd8e6e2e665353886e8de7c111a98acd68c7add | [] | no_license | KarenCampo777/AirBnB_clone | 8271a2a7f75c01ea875b9232a939f1f58f484705 | 95051e3c7c05837b89966caae55bb54eef81c95f | refs/heads/master | 2023-03-14T03:41:18.367359 | 2021-02-24T22:32:17 | 2021-02-24T22:32:17 | 276,201,869 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,527 | py | #!/usr/bin/python3
"""
Test module for place module
"""
from models.place import Place
import models
import unittest
import os
import datetime
class TestPlace(unittest.TestCase):
""" Testing an Place instance """
def setUp(self):
"""
Setting up the test instance
"""
self.my_... | [
"andresbaymon@gmail.com"
] | andresbaymon@gmail.com |
ada10adc0bef6aee3f66cc6505c04af63ade6437 | ca2818572d17285210792694ba1f07c99e11d9ad | /setup.py | 209a4bd93203208084c183cf32cece8f76ddf3bd | [
"Apache-2.0"
] | permissive | tomzhang/codesnap | cc335e8a63af70ed0121b222eb4fc2e35841b0b0 | 04e11176888243052c46a6a04a1ba63a8f80d684 | refs/heads/master | 2022-11-29T16:23:05.625385 | 2020-08-09T07:11:58 | 2020-08-09T07:11:58 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,134 | py | import setuptools
from distutils.core import Extension
with open("README.md") as f:
long_description = f.read()
setuptools.setup(
name="codesnap",
version="0.0.4",
author="Tian Gao",
author_email="gaogaotiantian@hotmail.com",
description="A profiling tool that can visualize python code in flam... | [
"gaogaotiantian@hotmail.com"
] | gaogaotiantian@hotmail.com |
33bada0a6ebc9c86ad48aa12cb5fff42acd3588a | 3b43cf4cfc666798ebe85ed1db8858034b13d45c | /tests/universal_functions_tests/power_tests/normal.py | dab58c185239f89bab51ee55c80dbe61e5d4326a | [
"Apache-2.0"
] | permissive | Pandinosaurus/legate.numpy | 5428b80a0a53ab882cd74b5dbf5fd86c7ee82199 | 896f4fd9b32db445da6cdabf7b78d523fca96936 | refs/heads/master | 2023-06-27T04:33:52.982601 | 2021-07-01T21:39:52 | 2021-07-01T21:39:52 | 358,820,941 | 0 | 0 | Apache-2.0 | 2021-08-01T02:57:57 | 2021-04-17T08:06:05 | C++ | UTF-8 | Python | false | false | 1,000 | py | # Copyright 2021 NVIDIA Corporation
#
# 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 to in wr... | [
"wonchanl@nvidia.com"
] | wonchanl@nvidia.com |
8a4209560e01a9bb2625b02445afa69dcf3b28fc | e7ff2f9e21a94f2956b8c79f268dc6d45b41237b | /Frontend/node_modules/watchpack-chokidar2/node_modules/fsevents/build/config.gypi | b5962c025c83982c05fecf7c1819e71e4893c18a | [
"MIT"
] | permissive | vipul-07/MERN-Project | fcb4af686557b99b802404e8622905781e89bbc3 | c0bdd3b5dfc73b2657b8563d069360e11466714a | refs/heads/master | 2023-02-14T15:42:38.653627 | 2021-01-10T05:35:02 | 2021-01-10T05:35:02 | 317,460,195 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,709 | gypi | # Do not edit. File was generated by node-gyp's "configure" step
{
"target_defaults": {
"cflags": [],
"default_configuration": "Release",
"defines": [],
"include_dirs": [],
"libraries": []
},
"variables": {
"asan": 0,
"build_v8_with_gn": "false",
"coverage": "false",
"dcheck_al... | [
"apple@Apples-MacBook-Pro.local"
] | apple@Apples-MacBook-Pro.local |
f32cc09e9b5e4191dae2fb825a128f8ca6aa38c6 | 2e2a02ec8323982975ace3d249b22a42d8b97a1f | /skipper.py | 11171dc6ca97629b3d735b09f2921f679e80ed68 | [] | no_license | datagovua/os-budget-ukraine | 4e8c6d0373aead42890349befbd69bf8e8fef0a1 | 3a45f89c3872c9b9b45fb1206da445989b37b335 | refs/heads/master | 2021-01-13T02:49:03.608617 | 2016-12-22T20:59:14 | 2016-12-23T01:14:22 | 77,156,721 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 385 | py | import logging
from datapackage_pipelines.wrapper import ingest, spew
_, datapackage, resource_iterator = ingest()
def intTryParse(value):
try:
int(value)
return True
except ValueError:
return False
def process(res):
for row in res:
if intTryParse(row['1.0']):
yield row
... | [
"vanuan@gmail.com"
] | vanuan@gmail.com |
b0258289543572c3d2fd2b3d83991eb4e2d9f4dc | 24fe1f54fee3a3df952ca26cce839cc18124357a | /servicegraph/lib/python2.7/site-packages/acimodel-4.0_3d-py2.7.egg/cobra/modelimpl/orchs/svcsencap.py | 83b1a538fc7c72069845b02465a56b59e320b8da | [] | no_license | aperiyed/servicegraph-cloudcenter | 4b8dc9e776f6814cf07fe966fbd4a3481d0f45ff | 9eb7975f2f6835e1c0528563a771526896306392 | refs/heads/master | 2023-05-10T17:27:18.022381 | 2020-01-20T09:18:28 | 2020-01-20T09:18:28 | 235,065,676 | 0 | 0 | null | 2023-05-01T21:19:14 | 2020-01-20T09:36:37 | Python | UTF-8 | Python | false | false | 8,108 | py | # coding=UTF-8
# **********************************************************************
# Copyright (c) 2013-2019 Cisco Systems, Inc. All rights reserved
# written by zen warriors, do not modify!
# **********************************************************************
from cobra.mit.meta import ClassMeta
from cobra.m... | [
"rrishike@cisco.com"
] | rrishike@cisco.com |
80a7585e86a4e8633b65ccb5495c63da103934b7 | 8bbeb7b5721a9dbf40caa47a96e6961ceabb0128 | /python3/216.Combination Sum III(组合总和 III).py | 4c2a30d0cd8dad2c5c465ba3a4dfdb989f691e11 | [
"MIT"
] | permissive | lishulongVI/leetcode | bb5b75642f69dfaec0c2ee3e06369c715125b1ba | 6731e128be0fd3c0bdfe885c1a409ac54b929597 | refs/heads/master | 2020-03-23T22:17:40.335970 | 2018-07-23T14:46:06 | 2018-07-23T14:46:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,388 | py | """
<div>
<p>Find all possible combinations of <i><b>k</b></i> numbers that add up to a number <i><b>n</b></i>, given that only numbers from 1 to 9 can be used and each combination should be a unique set of numbers.</p>
<p><strong>Note:</strong></p>
<ul>
<li>All numbers will be positive integers.</li>
<li>The solut... | [
"lishulong@wecash.net"
] | lishulong@wecash.net |
c5daf96e1ec9ac90dc1db252619f073fb6d4df6d | 179a0f995f5a3eb7a6005f8e96498ef21b2bf166 | /docs/conf.py | 45ccdf6d81b9baf63f859bf4fc96836c47707904 | [
"MIT"
] | permissive | VB6Hobbyst7/pycatia | 845052a4584318bf0cf0861512203ddd337a7bca | cff309fe2b4802ff2b2c5c984f8064747f81065d | refs/heads/master | 2023-04-14T20:28:51.427101 | 2021-04-27T11:03:42 | 2021-04-27T11:03:42 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,936 | py | # -*- coding: utf-8 -*-
#
# Configuration file for the Sphinx documentation builder.
#
# This file does only contain a selection of the most common options. For a
# full list see the documentation:
# http://www.sphinx-doc.org/en/master/config
# -- Path setup ------------------------------------------------------------... | [
"evereux@gmail.com"
] | evereux@gmail.com |
8c1605776199c122465a2aa10d3dade49beec409 | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p02748/s229745856.py | 07e6ff9b4f694f31ed7e0dfb26750d3f2b624a60 | [] | 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 | 232 | py | _, _, M = map(int, input().split())
A = list(map(int, input().split()))
B = list(map(int, input().split()))
xyc = [tuple(map(int, input().split())) for i in range(M)]
print(min([min(A)+min(B)]+[A[x-1]+B[y-1]-c for x, y, c in xyc]))
| [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
572938151b792f0f6e8e2bb10d5c6bd6a452af48 | e5504d8c4880993b82d5583a11c5cc4623e0eac2 | /Arrays/loopInCircularArray__IMP.py | 768b8bdc06fdc4ba7a36f6287179bf3b4b92d756 | [] | no_license | noorulameenkm/DataStructuresAlgorithms | e5f87f426fc444d18f830e48569d2a7a50f5d7e0 | 7c3bb89326d2898f9e98590ceb8ee5fd7b3196f0 | refs/heads/master | 2023-06-08T19:29:42.507761 | 2023-05-28T16:20:19 | 2023-05-28T16:20:19 | 219,270,731 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,536 | py | def circular_array_loop_exists(arr):
# TODO: Write your code here
for i in range(len(arr)):
slow = fast = i
is_forward = arr[i] >= 0
# if slow or fast becomes '-1' this means we can't find cycle for this number
while True:
# move one step for slow pointer
slow = get_next_index(arr, is_f... | [
"noorul.km@people10.com"
] | noorul.km@people10.com |
3aefb338c74473c31e9b8b9f5b57d93c9d53d0e5 | 5f957add3e3f7a1885d4f1b106de72e93c8fcb1a | /ExerciciosPython/ex072.py | a2215342cdcfa208efd442734fd5f94405993530 | [
"MIT"
] | permissive | mpatrickaires/curso-python | 6e32cf785a3bc0076bb3ea24cd6d896604f4e774 | aba023648527d53bfe18833b91210a7e528a84d7 | refs/heads/main | 2022-12-27T00:57:07.467940 | 2020-10-14T00:48:09 | 2020-10-14T00:48:09 | 302,203,176 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 698 | py | extenso = ('zero', 'um', 'dois', 'três', 'quatro', 'cinco', 'seis', 'sete', 'oito', 'nove', 'dez', 'onze',
'doze', 'treze', 'catorze', 'quinze', 'dezesseis', 'dezessete', 'dezoito', 'dezenove', 'vinte')
while True:
numero = int(input('Digite um número entre 0 e 20: '))
while numero < 0 or numero > 2... | [
"mpatrickaires@gmail.com"
] | mpatrickaires@gmail.com |
1114a68d8b2e5c4fd05992b6c8ee4ca498cc92af | 755e4e6e966433fe887f0f28f14916696b1588d7 | /code/exceptions/exceptions.py | 7e62995995ecbc57b12ce62c9ad0de8d73a94b9e | [] | no_license | phildue/FingerspellingRecognition | f18518a6e2e29b769d131e5b54846f00213f3ff1 | 1b5236142734d7b50f0f4161ecc533b7d10347b8 | refs/heads/master | 2021-03-24T10:40:24.507766 | 2017-07-03T09:33:09 | 2017-07-03T09:33:09 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 167 | py | class NotTrained(Exception):
pass
class NoRoiFound(Exception):
pass
class NoContoursFound(Exception):
pass
class DescriptorFailed(Exception):
pass | [
"phild@protonmail.com"
] | phild@protonmail.com |
d1684f57fb28491ecde85c741f45fcd4e4659cf8 | ed9e4027cbd76fbac19598163b9673628cb07eea | /anjia/asgi.py | 372aac7872de8b88fd3e438e294b71fb8dafce32 | [
"BSD-2-Clause"
] | permissive | ankiwoong/python_kindergarten | 3a1f9a486a32866b5f37ba4673dfc2135a85eec0 | 43b1e15969f0d35073e2f7fb1286d8c094fd80a8 | refs/heads/master | 2022-09-01T08:11:27.374802 | 2020-05-27T08:45:14 | 2020-05-27T08:45:14 | 258,760,014 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 387 | py | """
ASGI config for anjia project.
It exposes the ASGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.0/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('DJANGO_SETTING... | [
"ankiwoong@gmail.com"
] | ankiwoong@gmail.com |
6a50f6dc840ad5ee463050db663639df9a8ea7dd | e8b12e314782bf68347838599c8168e4a8019373 | /CompareAlternatives.py | 0d80231eb7ed1c3ac5094ee2f446c2fa5eed2155 | [] | no_license | HPM573/Lab_ParallelProcessing | 0ce7e4b615afe9e2e2a281f79684e9067003aa1b | f2e6401f4a5dc057a150914653079c0284c92b4b | refs/heads/main | 2023-05-12T06:03:15.275404 | 2023-05-02T13:58:18 | 2023-05-02T13:58:18 | 180,822,018 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,908 | py | import EconEvalInputData as D
import ProbabilisticSupport as Support
import ProbilisticParamClasses as P
from ParallelClasses import ParallelMultiCohort
N_COHORTS = 200 # number of cohorts
if __name__ == '__main__': # this line is needed to avoid errors that occur on Windows computers
# create a mu... | [
"reza.yaesoubi@yale.edu"
] | reza.yaesoubi@yale.edu |
48b211d3ffc2fe351f125460bfa2de347c5ad89c | 6fcfb638fa725b6d21083ec54e3609fc1b287d9e | /python/frenetic-lang_pyretic/pyretic-master/pyretic/tests/test_mac_learner.py | 19c0e4482c157a77029346d963681440c374e52d | [] | no_license | LiuFang816/SALSTM_py_data | 6db258e51858aeff14af38898fef715b46980ac1 | d494b3041069d377d6a7a9c296a14334f2fa5acc | refs/heads/master | 2022-12-25T06:39:52.222097 | 2019-12-12T08:49:07 | 2019-12-12T08:49:07 | 227,546,525 | 10 | 7 | null | 2022-12-19T02:53:01 | 2019-12-12T07:29:39 | Python | UTF-8 | Python | false | false | 2,387 | py | #!/usr/bin/python
from mininet.net import Mininet
from mininet.node import RemoteController
import os, shlex, subprocess, utils, time
from utils import init
### Module Parameters
def get_controller():
return 'pyretic.modules.mac_learner'
def run_mininet():
# mn = Mininet()
# s1 = mn.addSwitch('s1')
# ... | [
"659338505@qq.com"
] | 659338505@qq.com |
dc4ee8e84412fbe9e26fa41aea2ba61f0a80d687 | 3b11dc40c7d772fffeb4d8683e5c9791c41f6454 | /custom/clients/ecobank/ecobank_inventory/models/inventory_account.py | 54cf03c640a891acbae5ed78bf433efd0cd027f2 | [] | no_license | Jacky-odoo/Ecobank | b986352abac9416ab00008a4abaec2b1f1a1f262 | 5c501bd03a22421f47c76380004bf3d62292f79d | refs/heads/main | 2023-03-09T18:10:45.058530 | 2021-02-25T14:11:12 | 2021-02-25T14:11:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,139 | py | from odoo import api, fields, models
from odoo.exceptions import ValidationError
class InventoryUser(models.Model):
_name = 'inventory.account'
_rec_name = 'name_and_code'
name = fields.Char(string='Name', required=True)
code = fields.Char(string='Code', required=True)
name_and_code = fields.Char... | [
"francisbnagura@gmail.com"
] | francisbnagura@gmail.com |
101e6d98e6ea5327b9632183ef8eb52de0c552e9 | ff5eea95bb0827cb086c32f4ec1c174b28e5b82d | /gammapy/background/tests/test_ring.py | 047cad9a887193d1551fbd48446204c72bfc2e9e | [] | no_license | pflaumenmus/gammapy | 4830cc5506a4052658f30077fa4e11d8c685ede0 | 7b5caf832c9950c886528ca107203ce9b83c7ebf | refs/heads/master | 2021-01-15T23:27:46.521337 | 2013-09-25T14:23:35 | 2013-09-25T14:23:35 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,176 | py | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from __future__ import division
import unittest
import pytest
import numpy as np
from numpy.testing import assert_almost_equal
from astropy.io import fits
from ..maps import Maps
from ..ring import RingBgMaker, outer_ring_radius
try:
import scipy
... | [
"Deil.Christoph@gmail.com"
] | Deil.Christoph@gmail.com |
ff31f03d357f8dd02d1fef1e8193bb092e608bea | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p02708/s465285057.py | b9e8c08a651992f50a225309892a6784c1a1572f | [] | 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 | 257 | py | from itertools import accumulate
N,K = map(int,input().split())
acc = list(accumulate(range(N+1), lambda x,y:x+y))
ans = 0
mod = 10**9+7
for i in range(K, N+1):
r = acc[N] - acc[N-i]
l = acc[i-1]
ans = (ans+r-l+1) % mod
ans += 1
print(ans % mod) | [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
38eaeac29ebaa70dc88d888b36fe8d2e3156dd76 | 083b3f5b0d23c269c6a9ff1ea413e70fb799a497 | /Leetcode Challenge/09_September_2020/Python/Week 5/2_First Missing Positive.py | 5daf39e470ef89206f9440b17c1cc1717578a4f7 | [] | no_license | HectorIGH/Competitive-Programming | b2e02dff140d9ebb06c646f7be0b53ea0afe90c9 | 467058c63e8a7e76805feebe3020bac4d20516a6 | refs/heads/master | 2022-12-31T18:32:46.824626 | 2020-10-16T20:38:33 | 2020-10-16T20:38:33 | 279,733,136 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,454 | py | #Given an unsorted integer array, find the smallest missing positive integer.
#
#Example 1:
#
#Input: [1,2,0]
#Output: 3
#Example 2:
#
#Input: [3,4,-1,1]
#Output: 2
#Example 3:
#
#Input: [7,8,9,11,12]
#Output: 1
#Follow up:
#
#Your algorithm should run in O(n) time and uses constant extra space.
#
# Hide Hint #1
#T... | [
"HectorIGH@users.noreply.github.com"
] | HectorIGH@users.noreply.github.com |
21cc1ba23778a7ba76d8b97034ae2a2236266abf | 864acf7235e330123c3d68ed14cdd8bf8eed800b | /crm/accounts/models.py | be98a7f2e0926b1e0b0ec5e7fd8a599dfe9597b2 | [] | no_license | wahid999/djangostuff | 83f0ae53df5c53d192603d7aaf7ee72f8665c240 | c102edfb13b8ba39930e44069122c5e545ef00ee | refs/heads/main | 2023-07-04T20:02:32.550831 | 2021-08-13T16:07:20 | 2021-08-13T16:07:20 | 399,344,439 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,705 | py | from django.db import models
from django.contrib.auth.models import User
# Create your models here.
class Customer(models.Model):
user = models.OneToOneField(User, null=True, blank=True, on_delete=models.CASCADE)
name = models.CharField(max_length=200, null=True)
phone = models.CharField(max_length=200, null=True)... | [
"wahidhussainturi@gmail.com"
] | wahidhussainturi@gmail.com |
7e06dd17c6c8f3382921b07d5a29bfd3f67c4817 | 846e642fd9b01d3b500d3efba4790761039eec24 | /code/smtp.py | 978b10738307ac891f4680f1e0a033f0d1ac1892 | [] | no_license | sachinyadav3496/Machine_Learning_Workshop | ffea23799c0f8477d9b5cc19b98e7d33a6364390 | 37f433631d1ae4e4db37c4baae6cdc3a7619423e | refs/heads/master | 2020-11-24T11:49:45.936367 | 2020-05-01T08:38:10 | 2020-05-01T08:38:10 | 228,130,385 | 5 | 2 | null | null | null | null | UTF-8 | Python | false | false | 2,080 | py |
import smtplib
import getpass
def Main():
print("\n\n*************************welcome************************\n")
print("\nWelcom to Email Service \n")
print("Enter your login details - \n")
gmail_user = input("\n\nUserName : ")
gmail_password = getpass.getpass("Password : ")
... | [
"sachinyadav3496@gmail.com"
] | sachinyadav3496@gmail.com |
ce3be2e0574e1ed136c469dfa1ef2ac357ed40cc | dfb8d3c365bd2ea27cef9af5cb00b7be1dae978d | /train.py | b23821e543d1b2a73205ead7e410f2b5b7bac887 | [
"MIT"
] | permissive | Windstudent/IRM-based-Speech-Enhancement-using-DNN | dd0cedfd4150fed69c55d33a744d0a6520fdf2d5 | 27a6f73b5b7fa91a4796e093e6ea3e30508a5c15 | refs/heads/master | 2020-07-05T15:34:52.712226 | 2019-05-07T14:36:40 | 2019-05-07T14:36:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,823 | py | import argparse
import json
import os
import numpy as np
import torch
from torch.utils.data import DataLoader
from data.test_dataset import TestDataset
from data.train_dataset import TrainDataset
from trainer.trainer import Trainer
from utils.utils import initialize_config
def main(config, resume):
... | [
"haoxiangsnr@gmail.com"
] | haoxiangsnr@gmail.com |
93e0d1af53bc2b9efd06b47d2a1c4276bdb0b0bd | 5390d79dad71ad0d9ff9d0777435dcaf4aad16b3 | /chapter_06/favorite_number.py | 124b9763eeac8593df0e93e0c0e845aa9bc3e5dd | [] | no_license | JasperMi/python_learning | 19770d79cce900d968cec76dac11e45a3df9c34c | 8111d0d12e4608484864dddb597522c6c60b54e8 | refs/heads/master | 2020-11-26T08:57:02.983869 | 2020-03-11T10:14:55 | 2020-03-11T10:14:55 | 218,935,548 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 497 | py | favorite_numbers = {
'bob': 2,
'sarah': 6,
'martin': 8,
'katy': 9,
'tom': 10
}
print('bob' + "'s favorite number is " + str(favorite_numbers['bob']) + ".")
print('sarah' + "'s favorite number is " + str(favorite_numbers['sarah']) + ".")
print('martin' + "'s favorite number is " + str(favorite_numbe... | [
"darmi19@163.com"
] | darmi19@163.com |
b1f2bc27194e8f706625493989d95c5335783f9f | fc58366ed416de97380df7040453c9990deb7faa | /daoliagent/services/arp.py | 7d9cf1622fdcd08505553150ef2cdef052d75232 | [
"Apache-2.0"
] | permissive | foruy/openflow-multiopenstack | eb51e37b2892074234ebdd5b501b24aa1f72fb86 | 74140b041ac25ed83898ff3998e8dcbed35572bb | refs/heads/master | 2016-09-13T08:24:09.713883 | 2016-05-19T01:16:58 | 2016-05-19T01:16:58 | 58,977,485 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,005 | py | from oslo.config import cfg
from ryu.lib.packet import arp
from ryu.lib.packet import ethernet
from ryu.lib.packet import packet
from ryu.lib import addrconv
from ryu.ofproto import ether
from daoliagent.services.base import PacketBase
from daoliagent.lib import SMAX
from daoliagent.openstack.common import log as log... | [
"wenxiang.wang1204@gmail.com"
] | wenxiang.wang1204@gmail.com |
0b2c7b6c78f2f20e685b99106e28b2dcfabe7a03 | 9d852841463c64f75da8a8579c32cea856d2073d | /leetcode/validate_binary_search_tree.py | 4931cdb9a7da506dea78bd8a759a89b592284296 | [] | no_license | LarsIndus/algorithms-DS | 2d94a5ba3e17de7c8d9e7ac4ace8eb70bb2a7331 | 32a64a4522f8474ab63421b06e945f6e44a441e1 | refs/heads/master | 2023-04-26T00:13:06.026785 | 2021-05-20T18:55:12 | 2021-05-20T18:55:12 | 243,239,680 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,476 | py | """
Leetcode Problem 98: Validate Binary Search Tree (Medium)
Given the root of a binary tree, determine if it is a valid binary search tree (BST).
A valid BST is defined as follows:
- The left subtree of a node contains only nodes with keys less than the node's key.
- The right subtree of a node contains on... | [
"test@test.com"
] | test@test.com |
c394f35d81a2eb6ac4c455dd44b7add384a8b18b | de24f83a5e3768a2638ebcf13cbe717e75740168 | /moodledata/vpl_data/84/usersdata/203/57032/submittedfiles/lista1.py | 4fe9d85ddd31f1891fa346e0bba2e39623b993ce | [] | no_license | rafaelperazzo/programacao-web | 95643423a35c44613b0f64bed05bd34780fe2436 | 170dd5440afb9ee68a973f3de13a99aa4c735d79 | refs/heads/master | 2021-01-12T14:06:25.773146 | 2017-12-22T16:05:45 | 2017-12-22T16:05:45 | 69,566,344 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 360 | py | # -*- coding: utf-8 -*-
n=int(input('tamanho da lista: '))
l=[]
somai=0
qi=0
somap=0
qp=0
for i in range (1,n+1,1):
a=int(input('elemento da lista: '))
l.append(a)
for i in range (1,len(lista),1):
if l(i)%2==0:
somap=somap+l(i)
qp=qp+1
else:
somai=somai+l(i)
qi=qi+1
print... | [
"rafael.mota@ufca.edu.br"
] | rafael.mota@ufca.edu.br |
9166a5025b83503317fc99cf5620f56acadc063c | 35fb652b0b20e7352cacdc078e23464fad40ccf3 | /web/controllers/food/food.py | ed79027f6fa2230bee2cb9150725d18254385a43 | [] | no_license | xiaoheng14/flask_wx_order | 52f8fe01a473855c22a43c2651b102c291dbde04 | be3314fdb0266eecf4ca7f5a55b2ea24078857c9 | refs/heads/master | 2020-08-23T03:59:19.006943 | 2018-11-19T12:21:25 | 2018-11-19T12:21:25 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 615 | py | # _*_ coding: utf-8 _*_
"""
__author__ = 'lawtech'
__date__ = '2018/10/27 3:14 PM'
"""
from flask import Blueprint
from common.libs.helper import ops_render
route_food = Blueprint('food_page', __name__)
@route_food.route("/index")
def index():
return ops_render("food/index.html")
@route_food.route("/info")
de... | [
"584563542@qq.com"
] | 584563542@qq.com |
52fa7f6ab35d271fd30dbc1f96ddcee4a2df32b5 | e74c2e5b85b9af58a6f9b4b6eea160fb66f6bb08 | /aula11.py | a14bb8b989d099d4f7350a32cb0c4b75eb76c49b | [] | no_license | Nokutomi/AulaPython | 670cc27986aa3a12e528f5d1602929a524b632fc | 1e97e4821b12a0ad0a4438d682c1e4d61a10f61d | refs/heads/master | 2022-11-15T08:38:47.401055 | 2020-07-08T02:49:54 | 2020-07-08T02:49:54 | 275,640,239 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 657 | py |
lista = [1,10]
arquivo = open('teste.txt', 'r')
try:
texto = arquivo.read()
divisao = 10 / 0
# numero = lista[3]
# x = a
# print('Fechando arquivo')
# arquivo.close()
except ZeroDivisionError:
print('Nao e possivel realizar uma divisao por zero')
except ArithmeticError:
print('Houve um ... | [
"you@example.com"
] | you@example.com |
a02a2341ab021509e596e6ab801c9b00af24f937 | 988385035443e5d46d29d96b15179509fd1c782e | /addToArrayForm.py | ea09a01733d9a2d3d3b61c25a1837f7b7368545e | [] | no_license | mwoitek/leetcode-python3 | c120ee1b1eb8e17f3a301026f25c643be9852953 | eb9989d3768eba82275a57243c99796e74ccdd48 | refs/heads/master | 2022-12-28T21:19:51.215210 | 2020-10-18T06:17:27 | 2020-10-18T06:17:27 | 301,295,054 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 257 | py | class Solution:
def addToArrayForm(self, A: List[int], K: int) -> List[int]:
A_str = "".join([str(num) for num in A])
A_int = int(A_str)
ans = A_int + K
ans_list = [int(char) for char in str(ans)]
return ans_list
| [
"woitek@usp.br"
] | woitek@usp.br |
7091c8bb4d092cb28c4a6f0d1fe1a329abcb2805 | 40b20d7e5f4381a64bd264a562c4ae6d6721b01c | /14-it-generator/sentence_gen.py | a17c48f6811da8c5180ec412bacbf4618080cabf | [
"MIT"
] | permissive | KyrieCham/example-code | 7d2f0d5901bf80b49dd6b1e9ae1c37c9cb6df7f5 | 3dd11744d1c0b1f00860e985ee2a0761e73ef7e7 | refs/heads/master | 2020-04-18T00:56:06.384756 | 2019-01-22T19:27:43 | 2019-01-22T19:27:43 | 167,098,245 | 1 | 0 | MIT | 2019-01-23T01:52:48 | 2019-01-23T01:52:47 | null | UTF-8 | Python | false | false | 446 | py | """
Sentence: iterate over words using a generator function
"""
import re
import reprlib
RE_WORD = re.compile('\w+')
class Sentence:
def __init__(self, text):
self.text = text
self.words = RE_WORD.findall(text)
def __repr__(self):
return 'Sentence(%s)' % reprlib.repr(self.text)
... | [
"luciano@ramalho.org"
] | luciano@ramalho.org |
c14cca36fd70f17c4adf7cf1050a549b485a5112 | dd44e145ac547209f5f209bc9b1f09189bb8b5c7 | /Python-OOP-July2021/04.Classes_and_objects-E/05.To-do-list/project/section.py | 391f64c88e1e7f0db3acc9df9b8d20c2de06a156 | [] | no_license | todorovventsi/Software-Engineering | e3c1be8f0f72c85619518bb914d2a4dbaac270f8 | 64ffa6c80b190e7c6f340aaf219986f769f175ab | refs/heads/master | 2023-07-09T05:35:14.522958 | 2021-08-15T14:35:55 | 2021-08-15T14:35:55 | 336,056,643 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,049 | py | class Section:
def __init__(self, name):
self.name = name
self.tasks = []
def add_task(self, new_task):
if new_task not in self.tasks:
self.tasks.append(new_task)
return f"Task {new_task.details()} is added to the section"
return f"Task is already in the ... | [
"todorov.ventsi@gmail.com"
] | todorov.ventsi@gmail.com |
9999bf5d93fa20451f61973a2e0ae14307aded8d | 4b1cf07275a8f2abf30943b975d443485ef897ff | /data_generator.py | 3805e30c71100e78de5cec92ba0c561a77bb426d | [
"MIT"
] | permissive | gipsyblues/edge_ml_emotion_recognition | a0e1e0acc98d11f710542218b2603f72a8a93a4b | 028e9a9264e7df5c48a047677b48f0c15e059e6c | refs/heads/master | 2023-06-27T02:53:18.707806 | 2021-07-28T06:48:30 | 2021-07-28T06:48:30 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,108 | py | import numpy as np
import cv2
import os
import imgaug as ia
import logging
from imgaug import augmenters as iaa
from imgaug.augmentables.segmaps import SegmentationMapsOnImage
from imgaug.augmentables.bbs import BoundingBox, BoundingBoxesOnImage
def _create_augment_pipeline():
sometimes = lambda aug: iaa.Sometim... | [
"dmitrywat@gmail.com"
] | dmitrywat@gmail.com |
ca9547928ab7a957dabd169f16fc201dc6d06efe | b83ff584bfcd9fce7a337ba1253287fc9afd03c7 | /cmdline_fluency_countdown.py | c6564c0a2aa5dcf88e15805c147edba2570aebac | [] | no_license | houstonhunt/fluencycountdown | 6166eaf625f6e348213dcd5be8045ee218159900 | d555b83972e05d09e1caafca61ea465c4ca3770c | refs/heads/master | 2021-01-23T23:12:17.392090 | 2015-05-23T18:48:24 | 2015-05-23T18:48:24 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,720 | py | #!/usr/bin/python
# cmdline_fluency_countdown.py
import pickle # used to save user progress (currently supporting 1 primary user)
import ConfigParser, os # used to parse language file
def init():
state = 0
try:
pickle.load(open("save.p", "rb"))
print "SUCCESS: loaded save file!"
state = 1
except:
config... | [
"root@localhost.localdomain"
] | root@localhost.localdomain |
09db4be45d5d63793dcd85353daabc9d84d3ac5d | 08ca7028e0488c420fff8c831e9d4fd3e32ee292 | /models/wideresnet.py | 59ba6496518eab9bc92f85bceb9a2459910e4762 | [] | no_license | yogeshbalaji/Adversarial-training | 0ee53fdbef2742788cbbc73ca592738347076fe2 | 3593c836f39c1313545fcc71e5ba8afa6f427326 | refs/heads/master | 2020-07-15T03:00:26.425582 | 2019-09-04T19:59:51 | 2019-09-04T19:59:51 | 205,464,494 | 12 | 4 | null | null | null | null | UTF-8 | Python | false | false | 3,517 | py | from collections import OrderedDict
import torch
from torch import nn
import torch.nn.functional as F
from utils import data_normalize
def init_weight(*args):
return nn.Parameter(nn.init.kaiming_normal_(torch.zeros(*args), mode='fan_out', nonlinearity='relu'))
class Block(nn.Module):
"""
Pre-activated Re... | [
"yogesh22@ramawks95.umiacs.umd.edu"
] | yogesh22@ramawks95.umiacs.umd.edu |
e34145873aede1b65f5e55265e1505cc6bde3391 | 387cf5f72ed6679a4d9e04bddd16998a190c4caf | /problems/programmers/lv3/pgs-67258-sweep-slow.py | 6a3ef6ae150570c9680bfdc5e53635a2e6635517 | [] | no_license | CodyBuilder-dev/Algorithm-Coding-Test | db4ee1e7565fbcef3140192225167eff42ad5c02 | cca5c4ba8bc31679ab00aceccfd8d9d39c232f72 | refs/heads/master | 2021-07-24T00:34:41.888289 | 2021-07-21T14:29:00 | 2021-07-21T14:29:00 | 219,123,221 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,347 | py | """
제목 :보석 쇼핑
아이디어 :
"""
def solution(gems):
s = set(gems)
hash = {}
#interval_list = [] # 리스트에 넣고 저장
best_answer = [123456,456789]
for i,gem in enumerate(gems):
if gem not in hash:
hash[gem] = 0
hash[gem] = i
if len(hash) ==len(s):
temp_answer = [mi... | [
"imspecial1@u.sogang.ac.kr"
] | imspecial1@u.sogang.ac.kr |
c64f6276a76c1f9c5a452595cbcd25de501fd7f6 | e65a448da4f82d6e7c95cfadc5e8dfd06ed05c62 | /cinder/cinder/api/middleware/auth.py | cf898c9b07d780e57e877272a930772dd33360d5 | [
"Apache-2.0"
] | permissive | bopopescu/devstack | 7a9d11bcc37884f3686e7178ebc25c178a6da283 | 6b73b164af7e5895501f1ca5dafebbba90510846 | refs/heads/master | 2022-11-19T19:58:43.536574 | 2015-01-29T09:00:59 | 2015-01-29T09:00:59 | 282,101,378 | 0 | 0 | null | 2020-07-24T02:17:48 | 2020-07-24T02:17:47 | null | UTF-8 | Python | false | false | 6,014 | py | # Copyright 2010 OpenStack Foundation
# 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 requ... | [
"swethapts@gmail.com"
] | swethapts@gmail.com |
f6e400373186312a9fcf3e60bc466491e7ced87f | 780b6cca690a213ac908b1cd5faef5366a18dc4e | /276_newbie_bite/save1_passed.py | 7568b69b77be52f1d12ae46c2c3d5cec4cd7fba1 | [] | no_license | katkaypettitt/pybites-all | 899180a588e460b343c00529c6a742527e4ea1bc | 391c07ecac0d92d5dc7c537bcf92eb6c1fdda896 | refs/heads/main | 2023-08-22T16:33:11.171732 | 2021-10-24T17:29:44 | 2021-10-24T17:29:44 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 244 | py | # Hint: Don't forget the 4 leading spaces to
# indicate your code is within the function.
a = 10
b = 5
def multiply_numbers(a, b):
return a * b
def enter_name():
username = input("What is your name?")
return username | [
"70788275+katrinaalaimo@users.noreply.github.com"
] | 70788275+katrinaalaimo@users.noreply.github.com |
9de698aabcd24e0d8e7b125ea53adbb5167b3d8b | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p02394/s366374910.py | 34d6b2cc6782e5002623f9419f9f8a358a2dd94e | [] | 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 | 142 | py | w, h, x, y, r = map(int, input().split())
if 0 <= (x-r) and (x+r) <= w and 0 <= (y-r) and (y+r) <= h:
print("Yes")
else:
print("No")
| [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
e2f80ae63c842ab915e70054164ea7ef16f417b2 | 15fb62305a2fa0146cc84b289642cc01a8407aab | /Python/119-pascalTriangle2.py | ca82b9b5ce299755fd88d42d79285542b566e463 | [] | no_license | geniousisme/leetCode | ec9bc91864cbe7520b085bdab0db67539d3627bd | 6e12d67e4ab2d197d588b65c1ddb1f9c52a7e047 | refs/heads/master | 2016-09-09T23:34:03.522079 | 2015-09-23T16:15:05 | 2015-09-23T16:15:05 | 32,052,408 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 413 | py | from math import factorial
class Solution:
# @param {integer} rowIndex
# @return {integer[]}
def getRow(self, rowIndex):
res = []
f = factorial
n = rowIndex
for k in xrange(rowIndex + 1):
res.append(f(n) / f(k) / f(n - k))
return res
if __name__ ... | [
"chia-hao.hsu@aiesec.net"
] | chia-hao.hsu@aiesec.net |
790f7806b7f537150ccb4a127bd799627afad0e4 | 1f8344813458f669bdf77059220290a3b2a3cdd0 | /tutorials-docs/thinking-in-coroutines/8_run_in_default_executor.py | 81a53d28f3690104d9512aac1b837e073a2f0b81 | [] | no_license | gridl/asyncio-study-group | 7c03e8640070ebe8d1103f27bc3c3da37a5a661f | 1ba9cf90e21b5174518032d467e89526da219576 | refs/heads/master | 2020-07-02T07:03:12.364097 | 2017-12-26T20:55:09 | 2017-12-26T20:55:09 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 687 | py | import time
import datetime
import asyncio
def blocking_call(seconds):
print(seconds, datetime.datetime.now())
time.sleep(seconds)
if __name__ == '__main__':
loop = asyncio.get_event_loop()
loop.call_later(5, loop.stop)
for i in range(1,4):
#по умолчанию используется concurrent.futures.T... | [
"nataliya.samoylenko@gmail.com"
] | nataliya.samoylenko@gmail.com |
8ba3ca416a5d385c1158274f46e71ad3750148eb | e7af30370e277b459e1c49edcc0562d5b5c32abc | /Learning_ScikitLearn/Model/Linear_Classification/LogisticRegression_Classification.py | 68bb53cef0d25d1f7959af186211991c7beda251 | [] | no_license | justgolikeme/My_MachineLearning | 208ab766478662cf36ffa7f9202fed0ad6f0ad28 | 948a84684a2a6f1c9e613948ed246062468016bd | refs/heads/master | 2022-05-13T05:02:48.488269 | 2020-01-03T07:27:50 | 2020-01-03T07:27:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,023 | py | # -*- coding: utf-8 -*-
# @Time : 2019/12/16 15:55
# @Author : Mr.Lin
'''
用于分类的线性模型
线性模型也广泛应用于分类问题。我们首先来看二分类。这时可以利用下面的公式进行
预测：
ŷ = w[0] * x[0] + w[1] * x[1] + …+ w[p] * x[p] + b > 0
这个公式看起来与线性回归的公式非常相似，但我们没有返回特征的加权求和，而是为预
测设置了阈值（0）。如果函数值小于 0，我们就预测类别 -1；如果函数值大于 0，我们就
预测类别 +1。对于所有用于分类的线性模型，这个预测规则都是通用的。同样，有很多种
不同的方... | [
"2669093302@qq.com"
] | 2669093302@qq.com |
7ad47d35b8b6d618120876ea81cee10cd4498f0f | 329b48089c64ebefe78d52f1c71c73bdadadd4b4 | /ML/m02_3_xor.py | f054586220c6b7e9e2f5ec6da088dfde56b25a5d | [] | no_license | variablejun/keras__R | 7f854570952ed97c48715047015786d873e512cb | 9faf4814b46cda1ac0ddbf2a2f8236fa0394f144 | refs/heads/main | 2023-07-13T19:32:25.950500 | 2021-08-22T18:26:52 | 2021-08-22T18:26:52 | 398,870,548 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 617 | py | from sklearn.svm import LinearSVC
import numpy as np
from sklearn.metrics import accuracy_score
#1 data
x_data = [[0,0],[0,1],[1,0],[1,1]]
y_data = [0,1,1,0]
#2 model
model = LinearSVC()
#3 fit
model.fit(x_data,y_data)
#4 평가
y_predict = model.predict(x_data)
print(x_data,' 의 예측값 : ',y_predict)
results= model.s... | [
"crescendo0217@gmail.com"
] | crescendo0217@gmail.com |
9d79f133ae46df0a2a814949bc56bb9b67709332 | 92754bb891a128687f3fbc48a312aded752b6bcd | /Algorithms/Python3.x/836-Rectangle_Overlap.py | 109710852b3db1879f46f641e56714e64efbeca6 | [] | no_license | daidai21/Leetcode | ddecaf0ffbc66604a464c3c9751f35f3abe5e7e5 | eb726b3411ed11e2bd00fee02dc41b77f35f2632 | refs/heads/master | 2023-03-24T21:13:31.128127 | 2023-03-08T16:11:43 | 2023-03-08T16:11:43 | 167,968,602 | 8 | 3 | null | null | null | null | UTF-8 | Python | false | false | 611 | py | # Runtime: 32 ms, faster than 89.53% of Python3 online submissions for Rectangle Overlap.
# Memory Usage: 13.9 MB, less than 8.33% of Python3 online submissions for Rectangle Overlap.
class Solution:
def isRectangleOverlap(self, rec1: List[int], rec2: List[int]) -> bool:
return rec1[0] < rec2[2] and rec... | [
"daidai4269@aliyun.com"
] | daidai4269@aliyun.com |
bfb211f64cb26ced576000456975b8ac4e62ba43 | dab869acd10a3dc76e2a924e24b6a4dffe0a875f | /Laban/build/bdist.win32/winexe/temp/numpy.core.operand_flag_tests.py | abe53bfc427cda30a4fdef6d870c6ffe58b6c013 | [] | no_license | ranBernstein/Laban | d82aff9b0483dd007e03a06e51f7d635f62ed05d | 54c88afa9493deacbdd182904cc5d180ecb208b4 | refs/heads/master | 2021-01-23T13:17:51.777880 | 2017-02-14T09:02:54 | 2017-02-14T09:02:54 | 25,508,010 | 3 | 1 | null | 2017-02-14T09:02:55 | 2014-10-21T07:16:01 | Tcl | UTF-8 | Python | false | false | 379 | py |
def __load():
import imp, os, sys
try:
dirname = os.path.dirname(__loader__.archive)
except NameError:
dirname = sys.prefix
path = os.path.join(dirname, 'numpy.core.operand_flag_tests.pyd')
#print "py2exe extension module", __name__, "->", path
mod = imp.load_dynamic(__... | [
"bernstein.ran@gmail.com"
] | bernstein.ran@gmail.com |
cde96ba8bed0f8a27d9a27fc09c79f90b37b0093 | 4781d9293b59a5072647bb179195b143c60621bd | /백준/3190_뱀/3190_뱀.py | 466985fd6c7408c5d7d548c56da8c4c1f93da5da | [] | no_license | chriskwon96/Algorithm_codes | bf98131f66ca9c091fe63db68b220527800069c9 | edb7b803370e87493dad4a38ee858bb7bb3fd31d | refs/heads/master | 2023-08-15T18:48:26.809864 | 2021-10-12T13:43:21 | 2021-10-12T13:43:21 | 387,803,476 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,488 | py | di = [0, -1, 0, +1]
dj = [+1, 0, -1, 0]
N = int(input())
matrix = [[0]*N for _ in range(N)]
K = int(input())
for _ in range(K): #사과위치 1로 지정
i, j = map(int, input().split())
matrix[i-1][j-1] = 1
L = int(input())
q = [(0,0)] #뱀 몸
X1, k, cnt = 0, 0, 0
flag = 1
for _ in range(L):
X, C = input().split()
fo... | [
"chriskwon96@naver.com"
] | chriskwon96@naver.com |
a7556063e49aff2dda7e2b3cc964e43037048d34 | 6cb1d8f1416af7b7c5c83ab35cb6928ea9955aff | /ch07/rnnlm_gen.py | a30f1107227f403e0e15f919e3f9b09e39193409 | [] | no_license | lee-saint/practice-nlp | f68ccc3140f725f3edcd7048c324b847583b7f20 | 19003fcd5f55f4f110417a3950a32bb5fba1850c | refs/heads/master | 2020-12-01T20:05:15.014495 | 2020-01-21T09:22:18 | 2020-01-21T09:22:18 | 230,750,152 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,799 | py | import numpy as np
from common.functions import softmax
from ch06.RNNLM import Rnnlm
from ch06.better_rnnlm import BetterRnnlm
from dataset import ptb
class RnnlmGen(Rnnlm):
def generate(self, start_id, skip_ids=None, sample_size=100):
word_ids = [start_id]
x = start_id
while len(word_ids... | [
"plutorian131@gmail.com"
] | plutorian131@gmail.com |
f45d517a51288fdf1af81238bef427c053fc9fbe | f47863b3a595cbe7ec1c02040e7214481e4f078a | /plugins/scan/libsys/1530.py | 7d4393ead3d8ab208722872e6653f54514040048 | [] | no_license | gobiggo/0bscan | fe020b8f6f325292bda2b1fec25e3c49a431f373 | 281cf7c5c2181907e6863adde27bd3977b4a3474 | refs/heads/master | 2020-04-10T20:33:55.008835 | 2018-11-17T10:05:41 | 2018-11-17T10:05:41 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 617 | py | #!/usr/bin/python
#-*- encoding:utf-8 -*-
# title:汇文libsys图书管理系统敏感信息泄露
#http://www.wooyun.org/bugs/wooyun-2010-0125785
def assign(service, arg):
if service == "libsys":
return True, arg
def audit(arg):
payload = 'include/config.properties'
url = arg + payload
code, head,res, errcode, _ = curl... | [
"zer0i3@aliyun.com"
] | zer0i3@aliyun.com |
3a0aa4f6f46d50f9055d2000d1b39488f5c19f87 | b341a8d120737297aa8fd394a23633dac9b5ccda | /accounts/migrations/0007_auto_20210122_1129.py | c7476e71ff6f0746f30db617c468bd59bbe23d1c | [] | no_license | Minari766/disney_side_stories | 16d97cb02bf00aa5439d59f753abb9a4706a30aa | aa2d88b1b0fdd87a27f41318bd3ec7352229b6ff | refs/heads/main | 2023-08-15T07:03:16.922579 | 2021-10-03T07:47:22 | 2021-10-03T07:47:22 | 306,496,250 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 445 | py | # Generated by Django 2.2 on 2021-01-22 02:29
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('accounts', '0006_auto_20210122_0127'),
]
operations = [
migrations.AlterField(
model_name='customuser',
name='icon',
... | [
"mina3.ryu0728@gmail.com"
] | mina3.ryu0728@gmail.com |
436645c364f840999119d1e57184125dbceeca14 | 1f006f0c7871fcde10986c4f5cec916f545afc9f | /apps/ice/plugins/oxml/oxml_wordNumbering_test.py | 9d73299a89601ac0dd3e3d023fcdc93ea3e7a208 | [] | no_license | ptsefton/integrated-content-environment | 248b8cd29b29e8989ec1a154dd373814742a38c1 | c1d6b5a1bea3df4dde10cb582fb0da361dd747bc | refs/heads/master | 2021-01-10T04:46:09.319989 | 2011-05-05T01:42:52 | 2011-05-05T01:42:52 | 36,273,470 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,070 | py | #!/usr/bin/env python
#
# Copyright (C) 2010 Distance and e-Learning Centre,
# University of Southern Queensland
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version ... | [
"raward@gmail.com@110e3293-9ef9-cb8f-f479-66bdb1942d05"
] | raward@gmail.com@110e3293-9ef9-cb8f-f479-66bdb1942d05 |
9330cd3f6095c574c0fa566a8d69be0fec19b834 | a62a87ad976e3d35ea7879671190faf950ebaf3b | /scrapys/t.py | 47ae7f7a675a471d9db25b8bb6a431b20fa33406 | [] | no_license | YangXiaoo/Django-web | 144c8c1800d2a67bf8d1d203210aa351d31e8fb3 | 97903f309234fd1421a19a52a083f214172d6c79 | refs/heads/master | 2020-03-24T11:29:20.296017 | 2019-01-20T14:54:16 | 2019-01-20T14:54:16 | 142,687,045 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,264 | py | # -*- coding: utf-8 -*-
import re
import urllib2
import pandas as pd
#获取原码
def get_content(page):
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36',
'Accept-Language': 'zh-CN,zh;q=0.8'}
url ='http://search.51job.... | [
"33798487+YangXiaoo@users.noreply.github.com"
] | 33798487+YangXiaoo@users.noreply.github.com |
91cf1bbafb30679fda22289ccab052d7605c72e6 | 503d2f8f5f5f547acb82f7299d86886691966ca5 | /typical90/typical90_cf.py | f610d0f1035ed452bc7992ce2b7ed0d6160b139f | [] | no_license | Hironobu-Kawaguchi/atcoder | 3fcb649cb920dd837a1ced6713bbb939ecc090a9 | df4b55cc7d557bf61607ffde8bda8655cf129017 | refs/heads/master | 2023-08-21T14:13:13.856604 | 2023-08-12T14:53:03 | 2023-08-12T14:53:03 | 197,216,790 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 937 | py | # https://atcoder.jp/contests/typical90/tasks/typical90_cf
# # def input(): return sys.stdin.readline().rstrip()
# # input = sys.stdin.readline
# from numba import njit
# from functools import lru_cache
# import sys
# input = sys.stdin.buffer.readline
# sys.setrecursionlimit(10 ** 7)
N = int(input())
S = input()
ans ... | [
"hironobukawaguchi3@gmail.com"
] | hironobukawaguchi3@gmail.com |
b9edcccc00c10227f91be8740e4d744c0cea4347 | 2b8047e9e73a2f6fd43897cff19cb7e7c7c464d4 | /docssrc/source/conf.py | 5d48fbeb3fa4a5a1f8afc2bbac54d3f8fcfb3638 | [
"MIT"
] | permissive | Peilonrayz/envee | 548fe08330a3b43bee5da1d64a0e406c781b990e | 66f5b6b1ff7f5966be794e1e3878418c560c1f65 | refs/heads/master | 2021-01-09T13:35:40.946529 | 2020-02-21T20:58:27 | 2020-02-21T20:58:27 | 242,321,085 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 984 | py | import datetime
import pathlib
import sys
try:
import ConfigParser as configparser
except ImportError:
import configparser
FILE_PATH = pathlib.Path(__file__).absolute()
# Add documentation for tests
TLD = FILE_PATH.parent.parent.parent
sys.path.insert(0, str(TLD))
config = configparser.ConfigParser()
config.... | [
"peilonrayz@gmail.com"
] | peilonrayz@gmail.com |
fbdea07de6f18420b99a57b116c79adf1f0463a1 | eac52a8ae7c539acedaedf8744bd8e20172f0af6 | /general/decode_ways.py | 33c70cc775b271c21d0bb448684acae24e9ffa65 | [] | no_license | mshekhar/random-algs | 3a0a0f6e6b21f6a59ed5e1970b7a2bc2044e191f | 7c9a8455f49027a754038b23aaa2df61fe5397ca | refs/heads/master | 2020-03-26T16:29:42.694785 | 2019-07-18T20:57:55 | 2019-07-18T20:57:55 | 145,105,593 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,895 | py | # A message containing letters from A-Z is being encoded to numbers using the following mapping:
#
# 'A' -> 1
# 'B' -> 2
# ...
# 'Z' -> 26
# Given a non-empty string containing only digits, determine the total number of ways to decode it.
#
# Example 1:
#
# Input: "12"
# Output: 2
# Explanation: It could be decoded as ... | [
"mayank@moengage.com"
] | mayank@moengage.com |
07a345dba33878564304037a609dba06de767c0c | 36c00fe2afff4818c937e312ce0c6a79f35e2a77 | /7-kyu/happy-birthday,-darling!/python/solution.py | ab407ea9bcebd79b2d18c37ed24e86ac2368a137 | [] | no_license | p-lots/codewars | 0a67b6ee4c91180ff78c648421b9d2d64463ddc3 | 535faeee475c6b398124d6f5002b0e111406e8bb | refs/heads/master | 2023-08-23T22:14:33.635011 | 2023-08-23T13:30:37 | 2023-08-23T13:30:37 | 195,320,309 | 0 | 0 | null | 2023-05-09T19:25:50 | 2019-07-05T01:40:15 | Python | UTF-8 | Python | false | false | 164 | py | def womens_age(n):
base = n // 2 if n % 2 == 0 else (n - 1) // 2
new_n = 20 if n % 2 == 0 else 21
return f"{n}? That's just {new_n}, in base {base}!" | [
"paul.calotta@gmail.com"
] | paul.calotta@gmail.com |
d0c7805015d0990484841901a310a10805e00cf6 | 39be02fe4f8e8362a7acc005f3e30dd6fe47990e | /newdata/oylereader.py | 5ebdae4fcc852f8c821d74ed40ee95c9b06e915b | [] | no_license | seferlab/geneexpress | e2f6fdaa49e40cd48d0572cd9ddb5d2f45566adb | ac35bde5ba52d24981ece74e532f46bbfff9019e | refs/heads/master | 2022-12-19T08:33:16.925160 | 2020-09-29T13:51:30 | 2020-09-29T13:51:30 | 299,619,752 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 826 | py | import os
import sys
import math
fname1 = "127 LCM time course Data Not normalized.txt"
fname2 = "127 LCM time course Quantile Normalized logbased 2 transformed.txt"
with open(fname1,"r") as infile:
for line in infile:
line = line.rstrip()
vals = line.split("\r")
splitted = vals[1].split... | [
"70752445+seferlab@users.noreply.github.com"
] | 70752445+seferlab@users.noreply.github.com |
f0b3e6949b78c44d35bdedc65dcdd7d848eae7f3 | 54f352a242a8ad6ff5516703e91da61e08d9a9e6 | /Source Codes/CodeJamData/10/33/17.py | b549582d467c3879831e6f099d36ecf18d3abe31 | [] | no_license | Kawser-nerd/CLCDSA | 5cbd8a4c3f65173e4e8e0d7ed845574c4770c3eb | aee32551795763b54acb26856ab239370cac4e75 | refs/heads/master | 2022-02-09T11:08:56.588303 | 2022-01-26T18:53:40 | 2022-01-26T18:53:40 | 211,783,197 | 23 | 9 | null | null | null | null | UTF-8 | Python | false | false | 1,617 | py | from itertools import count
def board(rows):
n = len(rows[0]) * 4
return [map(int, '{0:0{1}b}'.format(int(row, 16), n)) for row in rows]
def squares(board):
m, n = len(board), len(board[0])
#sq = {}
for r in xrange(m):
for c in xrange(n):
if board[r][c] == 2: continue
... | [
"kwnafi@yahoo.com"
] | kwnafi@yahoo.com |
238eb7c3a48a487377b765829fcb5eee86416ff5 | 24cf311c53c29e4e332cea01ee4de8196253a7b7 | /accounts/urls.py | ca8992d712669175ee1ef3193b0ea2d6ab348261 | [] | no_license | apengok/vsicravdoa | d017fe0c6a8606ef7bb74739354de1a2767b2a8a | e424b94007731189c2f14513798f2a9e9a45ba4c | refs/heads/master | 2020-03-10T23:07:48.145583 | 2018-06-01T09:18:25 | 2018-06-01T09:18:25 | 129,634,250 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 777 | py | from django.conf.urls import url
from .views import (
AccountHomeView,
# AccountEmailActivateView,
UserDetailUpdateView
)
app_name = 'account'
urlpatterns = [
url(r'^$', AccountHomeView.as_view(), name='home'),
url(r'^details/$', UserDetailUpdateView.as_view(), na... | [
"apengok@163.com"
] | apengok@163.com |
a20abcac99856f482d5e3f7ec4d5c5c93878dacd | 98f505e8275ed888818d8d6f77d27a9c275b55d8 | /face.py | a6d86359d258eda63f01fe71ba8a00892e28e706 | [] | no_license | EHwooKim/telegram | 13ac0afbd4ee5f91aa81b557183e9d8143fb1315 | 034ae64fa6283720fd55362b1b763cb3497ce4fc | refs/heads/master | 2022-12-11T19:53:23.942523 | 2019-07-12T07:41:29 | 2019-07-12T07:41:29 | 196,533,974 | 0 | 0 | null | 2022-12-08T05:52:25 | 2019-07-12T07:48:30 | Python | UTF-8 | Python | false | false | 959 | py | import pprint
import requests
from decouple import config
# 0. 이미지 파일
file_url = 'https://api.telegram.org/file/bot823224197:AAFwM03Ie4P8dBH45aKI75sMO0okZpcIqic/photos/file_2.jpg'
response = requests.get(file_url, stream=True)
image = response.raw.read()
# 1. 네이버 API 설정
naver_client_id = config('NAVER_CLIENT_ID')
nav... | [
"ehwoo0707@naver.com"
] | ehwoo0707@naver.com |
52860b1da6917fcd830a4b178bd3d28e8c60bf70 | 99dfd25f07b748e0b9b04ac300e135dc20570e1c | /cart/urls.py | 1731b6a31f6bbea06b4fcbb367549265a3127dd2 | [] | no_license | suipingooi/tgc10-django-deploy-checkpointPAUL | 1ec45e7135263703ff3472216f8fdcfdb379d7f3 | 46b62cdce8396c2b0cc57ec1fca4e77c0eee1e1a | refs/heads/master | 2023-04-16T05:11:20.535480 | 2021-04-14T12:02:43 | 2021-04-14T12:02:43 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 398 | py | from django.urls import path
import cart.views
urlpatterns = [
path('add/<book_id>', cart.views.add_to_cart,
name="add_to_cart"),
path('', cart.views.view_cart, name='view_cart'),
path('remove/<book_id>', cart.views.remove_from_cart,
name="remove_from_cart"),
path('update_quantity/<b... | [
"chorkunxin@yahoo.com"
] | chorkunxin@yahoo.com |
2ca6a41f705f6ef795834db9d2bcbec1c4e7da99 | 9d0195aa83cc594a8c61f334b90375961e62d4fe | /JTTest/SL7/CMSSW_10_2_15/src/miniAODJobs600toInf/nano4.py | 1366df4f33cc6ad0c152e7cd8e25ea82efda4cf6 | [] | no_license | rsk146/CMS | 4e49592fc64f6438051544c5de18598db36ed985 | 5f8dab8c59ae556598b9747b52b88205fffc4dbe | refs/heads/master | 2022-12-01T03:57:12.126113 | 2020-08-04T03:29:27 | 2020-08-04T03:29:27 | 284,863,383 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,363 | py | # Auto generated configuration file
# using:
# Revision: 1.19
# Source: /local/reps/CMSSW/CMSSW/Configuration/Applications/python/ConfigBuilder.py,v
# with command line options: nanoAOD_jetToolbox_cff -s NANO --mc --eventcontent NANOAODSIM --datatier NANOAODSIM --no_exec --conditions 102X_upgrade2018_realistic_v19 -... | [
"rsk146@scarletmail.rutgers.edu"
] | rsk146@scarletmail.rutgers.edu |
fc521136d37bde83bf4b77d4966c06e6653d750b | 3f6c16ea158a8fb4318b8f069156f1c8d5cff576 | /.PyCharm2019.1/system/python_stubs/-1317042838/pandas/_libs/ops.py | a84d13f1d42b972f9af8b614b27048d38673cdb9 | [] | no_license | sarthak-patidar/dotfiles | 08494170d2c0fedc0bbe719cc7c60263ce6fd095 | b62cd46f3491fd3f50c704f0255730af682d1f80 | refs/heads/master | 2020-06-28T23:42:17.236273 | 2019-10-01T13:56:27 | 2019-10-01T13:56:27 | 200,369,900 | 0 | 0 | null | 2019-08-03T12:56:33 | 2019-08-03T11:53:29 | Shell | UTF-8 | Python | false | false | 2,829 | py | # encoding: utf-8
# module pandas._libs.ops
# from /var/www/newsbytes/CPP/venv/lib/python3.6/site-packages/pandas/_libs/ops.cpython-36m-x86_64-linux-gnu.so
# by generator 1.147
# no doc
# imports
import builtins as __builtins__ # <module 'builtins' (built-in)>
import operator as operator # /usr/lib/python3.6/operator.... | [
"sarthakpatidar15@gmail.com"
] | sarthakpatidar15@gmail.com |
ce3333447ac28a3d89c0757d6ada515e638e5bd2 | 8410bb5a2e8849bb3a554b95ddc713d88f3440c4 | /aws-dev/awsdev9/venv/Lib/site-packages/dns/rdtypes/ANY/SOA.py | aec81cad8ac916e9bc71052ecbc4983cdabbd126 | [
"MIT"
] | permissive | PacktPublishing/-AWS-Certified-Developer---Associate-Certification | ae99b6c1efb30e8fab5b76e3d8c821823a4cd852 | b9838b4e038b42ad1813a296379cbbc40cab6286 | refs/heads/master | 2022-11-03T04:37:49.014335 | 2022-10-31T05:42:19 | 2022-10-31T05:42:19 | 219,964,717 | 13 | 11 | MIT | 2021-06-02T00:57:45 | 2019-11-06T09:54:09 | Python | UTF-8 | Python | false | false | 4,597 | py | # Copyright (C) Dnspython Contributors, see LICENSE for text of ISC license
# Copyright (C) 2003-2007, 2009-2011 Nominum, Inc.
#
# Permission to use, copy, modify, and distribute this software and its
# documentation for any purpose with or without fee is hereby granted,
# provided that the above copyright notice and ... | [
"sonalis@packtpub.com"
] | sonalis@packtpub.com |
d8adcfa0328f753994b60200ace6ca4d145e0f23 | 3d5bcd57b893c95bbcbfafe77bbc33c65432c9ed | /Algorithms/LeetCode/L0079exist.py | c6486ef5bca5b6781c64631e90da4eed40b18976 | [] | no_license | arunachalamev/PythonProgramming | c160f34c7cb90e82cd0d4762ff9dcb4abadf9c1c | ea188aaa1b72511aeb769a2829055d0aae55e73e | refs/heads/master | 2021-06-04T03:50:37.976293 | 2020-11-12T19:52:28 | 2020-11-12T19:52:28 | 97,364,002 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 702 | py |
def exist(board, word):
m,n = len(board), len(board[0])
def search(i,j,word):
nonlocal m,n
if len(word) == 0:
return True
if i<0 or i==m or j <0 or j==n or board[i][j] !=word[0]:
return False
board[i][j] = '#'
for di,dj in [(0,1),(0,-1),(1,0),(-1... | [
"arunachalamev@gmail.com"
] | arunachalamev@gmail.com |
0bf7dd56ef9f8d3dc81a166b9e292152ff8911ac | 2aba3c043ce4ef934adce0f65bd589268ec443c5 | /AOJ/courses/ITP1/3_C.py | 221621fc02dd16be341b7f831191bed733e02394 | [] | no_license | kambehmw/algorithm_python | 4f66593b77039d90515d1fcbecacdab8c811b92f | 17222399dcc92fd8f908e5774a9883e2e89c486e | refs/heads/master | 2020-06-02T12:44:11.322356 | 2020-05-18T13:22:05 | 2020-05-18T13:22:05 | 191,157,113 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 179 | py | while True:
x, y = map(int, input().split())
if x == 0 and y == 0:
exit()
else:
if x < y:
print(x, y)
else:
print(y, x) | [
"kanbe.hmw@gmail.com"
] | kanbe.hmw@gmail.com |
8af8b1154126237b12e676c20db0981a5f9e3d8e | 8a14a7724d00f1eb7791e53f8446e99ecc975605 | /scripts/extract_features.py | 95649f83351e38ae3501cff705bf80339edd1315 | [
"Apache-2.0"
] | permissive | aschn/picolo | 3fa7b26d079fc9687de9c3e1e34cae774bcf8416 | 1f8f50e0709fdaef31bc38045ef9fd0c46aae2b5 | refs/heads/master | 2020-04-30T01:37:36.587287 | 2013-07-19T00:32:05 | 2013-07-19T00:32:05 | 9,307,233 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,229 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
@author Anna Schneider
@version 0.1
@brief Typical script using picolo to extract features from point particles
"""
import picolo
from shapes import shape_factory_from_values
import argparse
import os.path as path
import time
import csv
# start timer
start = time.tim... | [
"annarschneider@gmail.com"
] | annarschneider@gmail.com |
1eadf13b44ed3ecced195ac1f6974c5866be1f8b | 37efda4646f478b66674e384e1bc139e7874d972 | /practice/RaodtoMillionaire.py | 7677b54444573abaec9ffa4c8c2fa22f69a24b2b | [] | no_license | siberian122/kyoupuro | 02c1c40f7c09ff0c07a1d50b727f860ad269d8b1 | 8bf5e5b354d82f44f54c80f1fc014c9519de3ca4 | refs/heads/master | 2023-04-04T02:45:29.445107 | 2021-04-20T07:37:47 | 2021-04-20T07:37:47 | 299,248,378 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 380 | py | n = int(input())
a = list(map(int, input().split()))
b = []
for i in range(n-1):
num = a[i]-a[i+1]
b.append(num)
now = 1000
stock = 0
for i in range(n-1):
if b[i] > 0: # 売る
now += stock*a[i]
stock = 0
elif now > 0 and b[i] < 0: # 買う
stock += now//a[i]
now = now % a[i]
... | [
"siberian1000@gmail.com"
] | siberian1000@gmail.com |
c96667e76a4d649fc180fffd2ee6abb688e027cb | d4fdbd68c42d6b9babe347cb3b65535e4d782172 | /tensorflow_datasets/image/voc_test.py | 1bbb9140e84808b1f66441b6ba103c2e8483ec03 | [
"Apache-2.0"
] | permissive | thanhkaist/datasets | 2809260c5e95e96d136059bea042d1ed969a6fcf | 02da35c558ec8ea704e744a2008c5cecb2e7a0a1 | refs/heads/master | 2020-06-04T16:13:14.603449 | 2019-06-14T22:01:33 | 2019-06-14T22:02:54 | 192,097,735 | 2 | 0 | Apache-2.0 | 2019-06-15T16:02:18 | 2019-06-15T16:02:18 | null | UTF-8 | Python | false | false | 1,060 | py | # coding=utf-8
# Copyright 2019 The TensorFlow Datasets 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 appl... | [
"copybara-worker@google.com"
] | copybara-worker@google.com |
2fc48de98fbc2450366953e3be1285d20c36401a | ac8ffabf4d7339c5466e53dafc3f7e87697f08eb | /python_solutions/1080.insufficient-nodes-in-root-to-leaf-paths.py | 4ba1ede95bb6688d9b4c3e860ddfe8e1d3dd646d | [] | no_license | h4hany/leetcode | 4cbf23ea7c5b5ecfd26aef61bfc109741f881591 | 9e4f6f1a2830bd9aab1bba374c98f0464825d435 | refs/heads/master | 2023-01-09T17:39:06.212421 | 2020-11-12T07:26:39 | 2020-11-12T07:26:39 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,173 | py | from collections import Counter, defaultdict, OrderedDict, deque
from bisect import bisect_left, bisect_right
from functools import reduce, lru_cache
from typing import List
import itertools
import math
import heapq
import string
true = True
false = False
MIN, MAX, MOD = -0x3f3f3f3f, 0x3f3f3f3f, 1000000007
#
# @lc ap... | [
"ssruoz@gmail.com"
] | ssruoz@gmail.com |
75a63b080058ba26e1aa2ae9b422c95c519a403c | 3e93c3bbe35c24bf7f1a75c612ab300f37063621 | /C1/L1_18_mappingnameseq_namedtuple.py | f393d21fd2cf887c699056da4973e6a7725476db | [] | no_license | rengokantai/orpycok3ed | 5ac0195a48f02dcc5bbc720e812f637464215e8f | 50ce744265dc6af0d1a4724ea52348faeb47764d | refs/heads/master | 2021-01-10T05:05:53.477092 | 2016-03-12T20:04:45 | 2016-03-12T20:04:45 | 53,352,163 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 693 | py | __author__ = 'Hernan Y.Ke'
from collections import namedtuple
# memorize this syntax
Me = namedtuple('Me',['first','last'])
me = Me(1,2)
print(me.first,me.last)
she=[Me(3,4),Me(5,6)]
#me = Me(first=1,last=2) # illegal!
me = me._replace(first=3)
print(me.first)
# get namedtuple
def get_num(tuplearr):
res=0
... | [
"yuriqiao@gmail.com"
] | yuriqiao@gmail.com |
ca2e60ef61a63bcc4473f3bb4ca159430fb5c13a | eb9f655206c43c12b497c667ba56a0d358b6bc3a | /python/testData/intentions/PyAnnotateTypesIntentionTest/methodAfterConstructorCall.py | 0cdc87e27827504a3baf5a3c8d4524a6604e3e8c | [
"Apache-2.0"
] | permissive | JetBrains/intellij-community | 2ed226e200ecc17c037dcddd4a006de56cd43941 | 05dbd4575d01a213f3f4d69aa4968473f2536142 | refs/heads/master | 2023-09-03T17:06:37.560889 | 2023-09-03T11:51:00 | 2023-09-03T12:12:27 | 2,489,216 | 16,288 | 6,635 | Apache-2.0 | 2023-09-12T07:41:58 | 2011-09-30T13:33:05 | null | UTF-8 | Python | false | false | 133 | py | class MyClass:
def __init__(self):
pass
def method(self, x):
pass
x = MyClass()
foo = x.met<caret>hod(42)
| [
"mikhail.golubev@jetbrains.com"
] | mikhail.golubev@jetbrains.com |
55c2841b5ae6ddfc0e8c0cb6f34e33306f5fca3a | 09e57dd1374713f06b70d7b37a580130d9bbab0d | /data/cirq_new/cirq_program/startCirq_pragma58.py | 8e84b65dd9e10c0774f2965011964ccb0cbd933f | [
"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 | 2,364 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 5/15/20 4:49 PM
# @File : grover.py
# qubit number=4
# total number=11
import cirq
import cirq.google as cg
from typing import Optional
import sys
from math import log2
import numpy as np
class Opty(cirq.PointOptimizer):
def optimization_at(
... | [
"wangjiyuan123@yeah.net"
] | wangjiyuan123@yeah.net |
8dd7a8369a2f7b352443bc0d36d23dd32bcc554e | bf576b059cbecb0cbb8a6c885dcfded5bd685399 | /4.Python course/3.Expand course/1.Small windmill/Small windmill.py | 18c56da878b1cb6a7ef0d38234ce809b1bea040f | [] | no_license | YahboomTechnology/Superbit-expansion-board | 0d3c2fd06c5df9280d230af429931af2c48dc6d5 | 4df7e03426d486d2b2f8f649359eee2d62851083 | refs/heads/master | 2023-04-07T03:16:15.786669 | 2023-03-29T01:12:57 | 2023-03-29T01:12:57 | 206,778,307 | 13 | 8 | null | null | null | null | UTF-8 | Python | false | false | 426 | py | from microbit import *
import superbit
a = 135
display.show(Image.HEART)
superbit.servo270(superbit.S1, 135)
superbit.motor_control(superbit.M1, 255, 0)
while True:
if button_a.is_pressed():
a = a - 1
if a < 0:
a = 0
superbit.servo270(superbit.S1, a)
elif button_b.is_press... | [
"2448532184@qq.com"
] | 2448532184@qq.com |
0ab091f1bac3f6b3782abb3cf2f34ba686b858fc | 6dcd5f4bb4c39e2d887e5d557e188ba4c8a75081 | /src/UsersDB.py | 3d3f2264fceef218c5169ec87a6f6ca4b65d695f | [] | no_license | Pella86/HappyRateBot | 815653033593aedc22c779025d00bddec4614f46 | f23f786a3c9dc19f2378958470d82974d018bd64 | refs/heads/master | 2020-03-22T00:16:38.670215 | 2018-07-22T11:50:53 | 2018-07-22T11:50:53 | 139,234,809 | 1 | 1 | null | 2018-07-22T06:41:21 | 2018-06-30T09:01:21 | Python | UTF-8 | Python | false | false | 4,288 | py | # -*- coding: utf-8 -*-
"""
Created on Wed Jun 20 12:10:14 2018
@author: Mauro
"""
#==============================================================================
# Imports
#==============================================================================
# py imports
import os
import hashlib
import string
# my imports
... | [
"pigmeo127@gmail.com"
] | pigmeo127@gmail.com |
9980f2825f02826d27018b266928c8e25ef4e7d6 | 978248bf0f275ae688f194593aa32c267832b2b6 | /xlsxwriter/test/comparison/test_autofilter06.py | 354f84b2a2f1d14959c2854587b7e266fc15c235 | [
"BSD-2-Clause-Views"
] | permissive | satish1337/XlsxWriter | b0c216b91be1b74d6cac017a152023aa1d581de2 | 0ab9bdded4f750246c41a439f6a6cecaf9179030 | refs/heads/master | 2021-01-22T02:35:13.158752 | 2015-03-31T20:32:28 | 2015-03-31T20:32:28 | 33,300,989 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,859 | py | ###############################################################################
#
# Tests for XlsxWriter.
#
# Copyright (c), 2013-2015, John McNamara, jmcnamara@cpan.org
#
from ..excel_comparsion_test import ExcelComparisonTest
from ...workbook import Workbook
class TestCompareXLSXFiles(ExcelComparisonTest):
"""... | [
"jmcnamara@cpan.org"
] | jmcnamara@cpan.org |
2f8c03f052351b799bfba46a92f2566cc993aedd | 5181d3b3ef8fe301ea2d6b095260e9d327c2fd79 | /scripts/dl/download_hrrr.py | dad9ed84e463252c8a1b7b4fff6d35e96c53d1d1 | [] | no_license | danhreitz/iem | 88113ef9c9c4a2918c9c2abdfd0510d5ca4ec819 | ed490dcd6c2a8359f88cb805ccee8f6707566f57 | refs/heads/master | 2021-01-18T15:27:28.607250 | 2015-08-10T21:33:54 | 2015-08-10T21:33:54 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,340 | py | """
Since the NOAAPort feed of HRRR data does not have radiation, we should
download this manually from NCEP
Run at 40 AFTER for the previous hour
"""
import urllib2
import sys
import datetime
import os
def fetch(valid):
""" Fetch the radiation data for this timestamp
80:54371554:d=2014101002:ULWRF:top of... | [
"akrherz@iastate.edu"
] | akrherz@iastate.edu |
3b79ecee53bab652825699f9a829541d12808883 | 53d22468fb1c9e0f4b4710a31fb7ac638549b8a7 | /src/episode_stats.py | 8c746bbebadc8b8367d5a5f0ae15a6bda7162cea | [
"MIT"
] | permissive | binderwang/drivebot | 768bcfe224d94b931c45c41ced2a1b0067c6417d | a8fb86731c52b7594dd135e8759622c29172b557 | refs/heads/master | 2020-12-14T09:48:59.857490 | 2016-05-03T03:17:58 | 2016-05-03T03:17:58 | 58,269,730 | 1 | 0 | null | 2016-05-07T14:33:18 | 2016-05-07T14:33:17 | null | UTF-8 | Python | false | false | 261 | py | #!/usr/bin/env python
import json
import sys
episode_id = 0
for line in sys.stdin:
episode = json.loads(line)
rewards = [event['reward'] for event in episode]
print "\t".join(map(str, [episode_id, len(episode), sum(rewards)]))
episode_id += 1
| [
"matthew.kelcey@gmail.com"
] | matthew.kelcey@gmail.com |
f6b0c0ebfcfea1688b03ec725be8faebb3cbbbee | 2598f255696842f043372dd68fe4d5fd48d1a41c | /Ofelia/expedient/src/python/expedient/clearinghouse/users/views.py | 5bd342d561ba8106b5c71655fbdfedc0cbb0a6c3 | [
"BSD-3-Clause"
] | permissive | zanetworker/C-BAS | 8e5442df83626e95d9562497278869ee3c4fad51 | 695c6f72490a02bbb308d44526631dbf426ab900 | refs/heads/master | 2021-01-01T06:55:39.085086 | 2014-08-11T09:37:42 | 2014-08-11T09:37:42 | 22,351,372 | 1 | 0 | null | 2014-08-08T16:15:54 | 2014-07-28T17:28:44 | Python | UTF-8 | Python | false | false | 7,668 | py | '''
Created on Dec 3, 2009
@author: jnaous
'''
from django.shortcuts import get_object_or_404
from django.http import HttpResponseRedirect, HttpResponseNotAllowed
from django.core.urlresolvers import reverse
from expedient.clearinghouse import users
from django.views.generic import create_update, simple
from django.c... | [
"umar.toseef@eict.de"
] | umar.toseef@eict.de |
8d637f9712aa8cd0fa725ea3c7b3285cb522f1da | be5a758c99f05c8ae8c224bf43335154114ee5f6 | /kombu/compat.py | 224f2e33e5d44865c3202047427a7e1c535ba30d | [
"BSD-3-Clause"
] | permissive | bradjasper/kombu | 160ed1b5651f91a87752df40791d01c91ca1fe16 | 4c9ac1436eb0468508f8b2cf1bda997535e1326d | refs/heads/master | 2021-01-16T00:23:17.928400 | 2010-07-28T17:25:32 | 2010-07-28T17:25:32 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,431 | py | from itertools import count
from kombu import entity
from kombu import messaging
def iterconsume(connection, consumer, no_ack=False, limit=None):
consumer.consume(no_ack=no_ack)
for iteration in count(0):
if limit and iteration >= limit:
raise StopIteration
yield connection.drain_... | [
"askh@opera.com"
] | askh@opera.com |
c3af127904d957a29958033e8898da66cbee1238 | 70ed82598c7ae19dc3de4a3a8400e9767b8a74b0 | /Net/BaseNet/ResNet/fine_tuning_2.py | a5c28f115867e33b9eb23304dfaf71d8d7a0216b | [] | no_license | UpCoder/MedicalImage | f255922b988392cd4c3a90715fb945ee20edb3b4 | 34c11562658e6f362ee7eb53740ba96209a22d45 | refs/heads/master | 2021-01-19T16:59:13.251726 | 2017-12-04T14:55:32 | 2017-12-04T14:55:32 | 101,031,357 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 6,832 | py | # -*- coding: utf-8 -*-
# 使用ｐａｔｃｈ训练好的模型，来对ＲＯＩ进行微调
from resnet import inference_small, loss
import tensorflow as tf
from Config import Config as sub_Config
from Slice.MaxSlice.MaxSlice_Resize import MaxSlice_Resize
from tensorflow.examples.tutorials.mnist import input_data
from Tools import changed_shape, calculate_acc_... | [
"546043882@qq.com"
] | 546043882@qq.com |
efc54871703ecce3f1cb626bd1351abbdff392ef | 34ef83114e02b173bd2d55eb53ad399e738a8e3c | /django/test_bootstrap/blog/models.py | b12d7ddd4b0a24411e62b4e99bf00bcafa60e565 | [] | no_license | vavilon/Python3 | e976a18eb301e4953696d1e3f4730ed890da015a | 8c79729747ce51d60ad685e6a2e58292954ed7eb | refs/heads/master | 2023-01-09T13:44:37.408601 | 2018-01-25T22:41:14 | 2018-01-25T22:41:14 | 100,892,055 | 0 | 1 | null | 2022-12-26T20:29:27 | 2017-08-20T22:23:06 | Python | UTF-8 | Python | false | false | 506 | py | from django.db import models
# Create your models here.
from django.utils import timezone
class Post(models.Model):
author = models.ForeignKey('auth.User')
title = models.CharField(max_length=200)
text = models.TextField()
created_date = models.DateTimeField(
default=timezone.now)
publishe... | [
"overon4ek@gmail.com"
] | overon4ek@gmail.com |
3fac458c8f38d04e4724c1f19199c6c517b324b6 | 675b72eae65f8e258794decf9627e5fdf8b04559 | /plugin_tests/examples_test.py | aa8ae4a0e021a3a57aefdf2dd02021e68f45841a | [
"Apache-2.0"
] | permissive | jbeezley/large_image | 368f730ea6fe2c4b75a9c3412c08ce8f41be545a | ac4cbaff4ae2fbbde425d3cd1aee2ff03e6235c8 | refs/heads/master | 2021-01-11T06:15:48.687563 | 2016-10-24T17:09:08 | 2016-10-24T17:09:08 | 71,806,470 | 0 | 0 | null | 2016-10-24T16:04:04 | 2016-10-24T16:04:03 | null | UTF-8 | Python | false | false | 1,695 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
##############################################################################
# Copyright Kitware Inc.
#
# 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 t... | [
"david.manthey@kitware.com"
] | david.manthey@kitware.com |
434153e344fd51bbd477726190b6bffce6f42c4d | 3de3dae722829727edfdd6cc3b67443a69043475 | /edexOsgi/com.raytheon.uf.common.dataplugin.text/pythonPackages/dynamicserialize/dstypes/com/raytheon/uf/common/dataplugin/text/subscription/request/SubscriptionRequest.py | 237472774c674b7b8fb879656ce996c5d08db82a | [
"LicenseRef-scancode-public-domain",
"Apache-2.0"
] | permissive | Unidata/awips2 | 9aee5b7ec42c2c0a2fa4d877cb7e0b399db74acb | d76c9f96e6bb06f7239c563203f226e6a6fffeef | refs/heads/unidata_18.2.1 | 2023-08-18T13:00:15.110785 | 2023-08-09T06:06:06 | 2023-08-09T06:06:06 | 19,332,079 | 161 | 75 | NOASSERTION | 2023-09-13T19:06:40 | 2014-05-01T00:59:04 | Java | UTF-8 | Python | false | false | 1,268 | py | ##
# This software was developed and / or modified by Raytheon Company,
# pursuant to Contract DG133W-05-CQ-1067 with the US Government.
#
# U.S. EXPORT CONTROLLED TECHNICAL DATA
# This software product contains export-restricted data whose
# export/transfer/disclosure is restricted by U.S. law. Dissemination
# to non... | [
"mjames@unidata.ucar.edu"
] | mjames@unidata.ucar.edu |
d485028798e1c737f0af507daf3b21f679ec03ae | b55c368efdfe360123be1a2e7677cee53706d1f9 | /VectorTrans/Main.py | 7f33d97819742d7ae327669e60bb979628d2c4fb | [
"MIT"
] | permissive | ZzhiWang/DRImplicitVecXform | 207cd6ef6edf5bc90b2abb1242e2d7bb3b322f95 | 2ec0c64fb098e29ce74929f5e19bce90b2f5791c | refs/heads/master | 2023-03-17T14:51:34.755756 | 2020-08-01T09:26:35 | 2020-08-01T09:26:35 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,904 | py | import numpy as np
from Tools import Preprocess
from VectorTrans.DRTrans import DRTrans
from VectorTrans.MDSTrans import MDSTrans
from VectorTrans.TSNETrans import TSNETrans
from VectorTrans.PCATrans import PCATrans
from VectorTrans.MDSTransPlus import MDSTransPlus
from VectorTrans.TSNETransPlus import TSNETransPlus
fr... | [
"sdu2014@126.com"
] | sdu2014@126.com |
b9fc0ded63c3c6f0ff7857c261a68f18076d6d8e | 9dc8c299ee7d4a225002127cc03b4253c8a721fd | /libs/unittest/live_related_condition.py | 5604fdc9fc852993f3b40a2a692f9a1c3da1f49b | [] | no_license | namesuqi/strategy_corgi | 5df5d8c89bdf7a7c465c438048be20ef16120f4f | 557b8f8eabf034c2a57c25e6bc581858dd4f1b6e | refs/heads/master | 2020-03-07T04:00:18.313901 | 2018-03-29T07:50:50 | 2018-03-29T07:50:50 | 127,253,453 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,149 | py | # !/usr/bin/python
# coding=utf-8
# author: JinYiFan
from config import *
from libs.module.live_seeds import *
import time
def wait_for_second(wait_time):
time.sleep(wait_time)
def change_config(live_file_count, live_peer_count, rate_of_peer_and_file):
"""
修改config文件的参数配置
:param live_file_count: 文件... | [
"suqi_name@163.com"
] | suqi_name@163.com |
b8acc579b13a7bb35130f20698e3489073b14792 | 773deb7825ff84eec3e0cf6ae8266d07251df392 | /CHAPTER05/bw41.py | c7231b7bd8d7d2ba190f52df2a0fa74e6f62a961 | [] | no_license | kji0205/py | 3ca9c2a351af05ce62d7c7c3c261ed98a7e8290d | b45ffb3424b7c0da8192d431cb7ad7933c60ef81 | refs/heads/master | 2021-01-20T18:57:51.603386 | 2016-06-23T14:24:57 | 2016-06-23T14:24:57 | 61,639,536 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 905 | py | # 진정한 병렬성을 실현하려면 concurrent.futures를 고려하자
import logging
from pprint import pprint
from sys import stdout as STDOUT
from time import time
def gcd(pair):
a, b = pair
low = min(a, b)
for i in range(low, 0, -1):
if a % i == 0 and b % i == 0:
return i
numbers = [(1963309, 2265973), (2030677, 3814172),
(1551645... | [
"kji0205@gmail.com"
] | kji0205@gmail.com |
ab12cc2538c903dfca478ff16c8508153a7312c9 | 994ea22f35c635fdf139af9282b0d3a3d86ea34a | /ud120-projects-intro_to_machine_learning/decision_tree/dt_author_id.py | 667e184f992ddbc3679ee4787f6ce8ba6bcc894a | [] | no_license | zjyx147/Udacity | ac371fbc5b5b456e88b411657ef5a28c3b071c6c | d86fadd537dbacc6f8142b043e71527b0448bae3 | refs/heads/master | 2022-06-23T14:25:41.242353 | 2019-06-20T20:12:13 | 2019-06-20T20:12:13 | 191,207,247 | 0 | 0 | null | 2022-06-21T22:07:35 | 2019-06-10T16:42:18 | DIGITAL Command Language | UTF-8 | Python | false | false | 1,128 | py | #!/usr/bin/python
"""
This is the code to accompany the Lesson 3 (decision tree) mini-project.
Use a Decision Tree to identify emails from the Enron corpus by author:
Sara has label 0
Chris has label 1
"""
import sys
from time import time
sys.path.append("../tools/")
from email_preprocess im... | [
"zjyx147@gmail.com"
] | zjyx147@gmail.com |
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