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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
dbfbafe90d8d62c542ce03ef8a862cdef8687b06 | 5,288 | py | Python | radssh/hostkey.py | Eli-Tarrago/radssh | ebf3c8f17c3768268dcd483e899a590698de4452 | [
"BSD-3-Clause"
] | 39 | 2015-05-11T15:06:58.000Z | 2021-12-29T07:24:23.000Z | radssh/hostkey.py | Eli-Tarrago/radssh | ebf3c8f17c3768268dcd483e899a590698de4452 | [
"BSD-3-Clause"
] | 45 | 2015-01-05T22:11:18.000Z | 2021-06-02T03:57:49.000Z | radssh/hostkey.py | eorochena/radssh | b1d1ee5822036445f26a34147452df5c3142caee | [
"BSD-3-Clause"
] | 13 | 2015-05-05T12:42:09.000Z | 2022-03-03T18:09:49.000Z | #
# Copyright (c) 2014, 2016, 2018, 2020 LexisNexis Risk Data Management Inc.
#
# This file is part of the RadSSH software package.
#
# RadSSH is free software, released under the Revised BSD License.
# You are permitted to use, modify, and redsitribute this software
# according to the Revised BSD License, a copy of wh... | 39.462687 | 167 | 0.625946 | 3,558 | 0.672844 | 0 | 0 | 0 | 0 | 0 | 0 | 1,810 | 0.342284 |
dbfc3c9f59db54005f9a1ad67dd376c6806f7fa6 | 14,153 | py | Python | nuke/pymmh3.py | jfpanisset/Cryptomatte | d7c71cff17a4e8895eb17520115aa45ff66b8540 | [
"BSD-3-Clause"
] | 543 | 2016-07-07T15:31:01.000Z | 2022-03-31T10:58:32.000Z | nuke/pymmh3.py | jfpanisset/Cryptomatte | d7c71cff17a4e8895eb17520115aa45ff66b8540 | [
"BSD-3-Clause"
] | 143 | 2016-07-07T16:56:38.000Z | 2022-02-23T23:16:52.000Z | nuke/pymmh3.py | jfpanisset/Cryptomatte | d7c71cff17a4e8895eb17520115aa45ff66b8540 | [
"BSD-3-Clause"
] | 158 | 2016-07-07T16:41:49.000Z | 2022-03-21T17:57:28.000Z | '''
pymmh3 was written by Fredrik Kihlander and enhanced by Swapnil Gusani, and is placed in the public
domain. The authors hereby disclaim copyright to this source code.
pure python implementation of the murmur3 hash algorithm
https://code.google.com/p/smhasher/wiki/MurmurHash3
This was written for the times when y... | 31.311947 | 104 | 0.464283 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,532 | 0.108246 |
dbfc56fb832ee5fc9af604dacd2a35c059519b31 | 950 | py | Python | bindings/python/tests/test_factory.py | pscff/dlite | 4365d828dcaa1736cc78ff6ed9a65592f198ba25 | [
"MIT"
] | 10 | 2020-04-08T06:25:27.000Z | 2022-03-15T06:54:53.000Z | bindings/python/tests/test_factory.py | pscff/dlite | 4365d828dcaa1736cc78ff6ed9a65592f198ba25 | [
"MIT"
] | 117 | 2019-12-16T14:43:41.000Z | 2022-03-21T19:46:58.000Z | bindings/python/tests/test_factory.py | pscff/dlite | 4365d828dcaa1736cc78ff6ed9a65592f198ba25 | [
"MIT"
] | 5 | 2020-04-15T16:23:29.000Z | 2021-12-07T08:40:54.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import dlite
thisdir = os.path.abspath(os.path.dirname(__file__))
class Person:
def __init__(self, name, age, skills):
self.name = name
self.age = age
self.skills = skills
def __repr__(self):
return 'Person(%r, %r, %r)'... | 25 | 78 | 0.671579 | 237 | 0.249474 | 0 | 0 | 0 | 0 | 0 | 0 | 315 | 0.331579 |
dbfcfb1df1954ace1963bc30983b96adb222d711 | 807 | py | Python | week_11_DS_N_Algorithm/03_Thr_Lecture/실습6_연속 부분 최대합.py | bky373/elice-racer-1st | ddea8079a1083796ed4f59c38650ff8f4333e6ef | [
"FSFAP"
] | 1 | 2021-11-03T18:27:37.000Z | 2021-11-03T18:27:37.000Z | week_11_DS_N_Algorithm/03_Thr_Lecture/실습6_연속 부분 최대합.py | bky373/elice-racer-1st | ddea8079a1083796ed4f59c38650ff8f4333e6ef | [
"FSFAP"
] | null | null | null | week_11_DS_N_Algorithm/03_Thr_Lecture/실습6_연속 부분 최대합.py | bky373/elice-racer-1st | ddea8079a1083796ed4f59c38650ff8f4333e6ef | [
"FSFAP"
] | 1 | 2021-02-10T15:21:53.000Z | 2021-02-10T15:21:53.000Z | '''
연속 부분 최대합
nn개의 숫자가 주어질 때, 연속 부분을 선택하여 그 합을 최대화 하는 프로그램을 작성하시오.
예를 들어, 다음과 같이 8개의 숫자가 있다고 하자.
1 2 -4 5 3 -2 9 -10
이 때, 연속 부분이란 연속하여 숫자를 선택하는 것을 말한다.
가능한 연속 부분으로써 [1, 2, -4], [5, 3, -2, 9], [9, -10] 등이 있을 수 있다.
이 연속 부분들 중에서 가장 합이 큰 연속 부분은 [5, 3, -2, 9] 이며,
이보다 더 합을 크게 할 수는 없다.
따라서 연속 부분 최대합은 5+3+(-2)+9 = 15 이다... | 17.170213 | 61 | 0.537794 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 935 | 0.751004 |
dbfd1a602dd992f412e1700c617d5bbf9b239826 | 505 | py | Python | tests/test_dns.py | jensstein/mockdock | 4eec294f33d929d361973c1708d2aa856a9900a0 | [
"MIT"
] | null | null | null | tests/test_dns.py | jensstein/mockdock | 4eec294f33d929d361973c1708d2aa856a9900a0 | [
"MIT"
] | 6 | 2020-03-24T16:45:10.000Z | 2021-02-13T10:03:53.000Z | tests/test_dns.py | jensstein/mockdock | 4eec294f33d929d361973c1708d2aa856a9900a0 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import unittest
from mockdock import dns
class DNSTest(unittest.TestCase):
def test_build_packet(self):
data = b"^4\x01\x00\x00\x01\x00\x00\x00\x00\x00\x00\x06google\x03com\x00\x00\x01\x00\x01"
packet = dns.build_packet(data, "192.168.0.1")
expeced_result = b"^4\x81... | 38.846154 | 168 | 0.708911 | 437 | 0.865347 | 0 | 0 | 0 | 0 | 0 | 0 | 260 | 0.514851 |
dbfd45a1262d4d81ad4ca682e226d591f37c7fd4 | 1,490 | py | Python | tests/conftest.py | zhongnansu/es-cli | e0656c21392e52a8b9cfafa69acfa0c13b743a9c | [
"Apache-2.0"
] | 6 | 2019-08-23T18:06:41.000Z | 2020-05-06T18:26:53.000Z | tests/conftest.py | zhongnansu/es-cli | e0656c21392e52a8b9cfafa69acfa0c13b743a9c | [
"Apache-2.0"
] | null | null | null | tests/conftest.py | zhongnansu/es-cli | e0656c21392e52a8b9cfafa69acfa0c13b743a9c | [
"Apache-2.0"
] | null | null | null | """
Copyright 2019, Amazon Web Services 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 the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing,... | 29.8 | 73 | 0.769799 | 0 | 0 | 368 | 0.24698 | 711 | 0.477181 | 0 | 0 | 857 | 0.575168 |
dbfd8140aa71c6ce6288cd86d96c8cf8754cf91f | 26,845 | py | Python | Cogs/ServerStats.py | Damiian1/techwizardshardware | 97ceafc15036be4136e860076d73d74f1887f041 | [
"MIT"
] | null | null | null | Cogs/ServerStats.py | Damiian1/techwizardshardware | 97ceafc15036be4136e860076d73d74f1887f041 | [
"MIT"
] | null | null | null | Cogs/ServerStats.py | Damiian1/techwizardshardware | 97ceafc15036be4136e860076d73d74f1887f041 | [
"MIT"
] | null | null | null | import asyncio
import discord
from datetime import datetime
from operator import itemgetter
from discord.ext import commands
from Cogs import Nullify
from Cogs import DisplayName
from Cogs import UserTime
from Cogs import Message
def setup(bot):
# Add the bot... | 42.076803 | 254 | 0.537568 | 26,447 | 0.984587 | 0 | 0 | 25,586 | 0.952533 | 25,652 | 0.954991 | 6,638 | 0.247124 |
dbfdaede95b2536399d16c62c421baf5bd420ceb | 6,688 | py | Python | chess_commentary_model/transformers_model/dataset_preprocessing.py | Rseiji/TCC-2020 | da68a49da38adf1bcf590b3028894d7834a28157 | [
"MIT"
] | null | null | null | chess_commentary_model/transformers_model/dataset_preprocessing.py | Rseiji/TCC-2020 | da68a49da38adf1bcf590b3028894d7834a28157 | [
"MIT"
] | 2 | 2020-08-30T22:47:54.000Z | 2021-03-31T19:58:11.000Z | chess_commentary_model/transformers_model/dataset_preprocessing.py | Rseiji/TCC-2020 | da68a49da38adf1bcf590b3028894d7834a28157 | [
"MIT"
] | null | null | null | """Métodos de preprocessamento de testes individuais
"""
import pandas as pd
import numpy as np
import math
def test_1(df, seed=0):
"""training: balanced; test: balanced
training: 80k (40k 0, 40k 1)
test: 20k (10k 0, 10k 1)
"""
df_ones = df[df['label'] == 1]
df_zeros = df[df['label'] ... | 36.546448 | 80 | 0.689145 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,144 | 0.171027 |
dbfdb987e6de76d1f36bf0f8ce7f9d972b1cbaed | 7,103 | py | Python | venv/Lib/site-packages/CoolProp/constants.py | kubakoziczak/gasSteamPowerPlant | e6c036cc66ee2ff0b3f2fc923d0991bf57295d61 | [
"MIT"
] | null | null | null | venv/Lib/site-packages/CoolProp/constants.py | kubakoziczak/gasSteamPowerPlant | e6c036cc66ee2ff0b3f2fc923d0991bf57295d61 | [
"MIT"
] | null | null | null | venv/Lib/site-packages/CoolProp/constants.py | kubakoziczak/gasSteamPowerPlant | e6c036cc66ee2ff0b3f2fc923d0991bf57295d61 | [
"MIT"
] | null | null | null | # This file is automatically generated by the generate_constants_module.py script in wrappers/Python.
# DO NOT MODIFY THE CONTENTS OF THIS FILE!
from __future__ import absolute_import
from . import _constants
INVALID_PARAMETER = _constants.INVALID_PARAMETER
igas_constant = _constants.igas_constant
imolar_mass = _cons... | 44.672956 | 120 | 0.887653 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 143 | 0.020132 |
dbfe9381e4f6dcc57fd5c5d02265d7f565b40315 | 2,857 | py | Python | torch_datasets/samplers/balanced_batch_sampler.py | mingruimingrui/torch-datasets | 2640b8c4fa82156e68e617fc545a546b4e08dc4e | [
"MIT"
] | null | null | null | torch_datasets/samplers/balanced_batch_sampler.py | mingruimingrui/torch-datasets | 2640b8c4fa82156e68e617fc545a546b4e08dc4e | [
"MIT"
] | null | null | null | torch_datasets/samplers/balanced_batch_sampler.py | mingruimingrui/torch-datasets | 2640b8c4fa82156e68e617fc545a546b4e08dc4e | [
"MIT"
] | null | null | null | import random
import torch.utils.data.sampler
class BalancedBatchSampler(torch.utils.data.sampler.BatchSampler):
def __init__(
self,
dataset_labels,
batch_size=1,
steps=None,
n_classes=0,
n_samples=2
):
""" Create a balanced batch sampler for label based... | 38.608108 | 147 | 0.637382 | 2,808 | 0.982849 | 150 | 0.052503 | 0 | 0 | 0 | 0 | 850 | 0.297515 |
dbfe9b7374d292dd3a07ffc92b4ebb9e7af2ac5d | 1,416 | py | Python | ambari-common/src/main/python/resource_management/libraries/functions/get_bare_principal.py | likenamehaojie/Apache-Ambari-ZH | 5973025bd694cdbb4b49fb4c4e0d774782811ff6 | [
"Apache-2.0"
] | 1,664 | 2015-01-03T09:35:21.000Z | 2022-03-31T04:55:24.000Z | ambari-common/src/main/python/resource_management/libraries/functions/get_bare_principal.py | likenamehaojie/Apache-Ambari-ZH | 5973025bd694cdbb4b49fb4c4e0d774782811ff6 | [
"Apache-2.0"
] | 3,018 | 2015-02-19T20:16:10.000Z | 2021-11-13T20:47:48.000Z | ambari-common/src/main/python/resource_management/libraries/functions/get_bare_principal.py | likenamehaojie/Apache-Ambari-ZH | 5973025bd694cdbb4b49fb4c4e0d774782811ff6 | [
"Apache-2.0"
] | 1,673 | 2015-01-06T14:14:42.000Z | 2022-03-31T07:22:30.000Z | #!/usr/bin/env python
"""
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");... | 33.714286 | 97 | 0.764831 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,150 | 0.812147 |
dbff3b375851c03b4ae31fb20b30423a4b9c6ad5 | 1,162 | py | Python | 04/cross_validation.01.py | study-machine-learning/dongheon.shin | 6103ef9c73b162603bc39a27e4ecca0f1ac35e57 | [
"MIT"
] | 2 | 2017-09-24T02:29:48.000Z | 2017-10-05T11:15:22.000Z | 04/cross_validation.01.py | study-machine-learning/dongheon.shin | 6103ef9c73b162603bc39a27e4ecca0f1ac35e57 | [
"MIT"
] | null | null | null | 04/cross_validation.01.py | study-machine-learning/dongheon.shin | 6103ef9c73b162603bc39a27e4ecca0f1ac35e57 | [
"MIT"
] | null | null | null | from sklearn import svm, metrics
import random
import re
def split(rows):
data = []
labels = []
for row in rows:
data.append(row[0:4])
labels.append(row[4])
return (data, labels)
def calculate_score(train, test):
train_data, train_label = split(train)
test_data, test_la... | 16.84058 | 66 | 0.620482 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 58 | 0.049914 |
e002150863388c3c73e7c985abca9ac6c4427a70 | 2,587 | bzl | Python | third_party/org_specs2.bzl | wix/wix-oss-infra | b57ac2f0f66487cfdd08293a8fa389efe3d42c43 | [
"MIT"
] | 3 | 2020-01-14T12:57:31.000Z | 2021-06-06T20:47:57.000Z | third_party/org_specs2.bzl | wix/wix-oss-infra | b57ac2f0f66487cfdd08293a8fa389efe3d42c43 | [
"MIT"
] | 20 | 2020-04-02T13:08:43.000Z | 2020-11-05T11:27:40.000Z | third_party/org_specs2.bzl | wix/wix-oss-infra | b57ac2f0f66487cfdd08293a8fa389efe3d42c43 | [
"MIT"
] | 1 | 2021-04-02T09:32:35.000Z | 2021-04-02T09:32:35.000Z | load("@wix_oss_infra//:import_external.bzl", import_external = "safe_wix_scala_maven_import_external")
def dependencies():
import_external(
name = "org_specs2_specs2_fp_2_12",
artifact = "org.specs2:specs2-fp_2.12:4.8.3",
artifact_sha256 = "777962ca58054a9ea86e294e025453ecf394c60084c28bd61... | 37.492754 | 102 | 0.68535 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,576 | 0.6092 |
e0023b6272774adf06f1384bdb4cb510043c4a82 | 224 | py | Python | task/w2/trenirovka/12-rivnist 2.py | beregok/pythontask | 50394ff2b52ab4f3273ec9ddc4b504d1f7b3159e | [
"MIT"
] | 1 | 2019-09-29T14:19:54.000Z | 2019-09-29T14:19:54.000Z | task/w2/trenirovka/12-rivnist 2.py | beregok/pythontask | 50394ff2b52ab4f3273ec9ddc4b504d1f7b3159e | [
"MIT"
] | null | null | null | task/w2/trenirovka/12-rivnist 2.py | beregok/pythontask | 50394ff2b52ab4f3273ec9ddc4b504d1f7b3159e | [
"MIT"
] | null | null | null | a = int(input())
b = int(input())
c = int(input())
d = int(input())
if a == 0 and b == 0:
print("INF")
else:
if (d - b * c / a) != 0 and (- b / a) == (- b // a):
print(- b // a)
else:
print("NO")
| 18.666667 | 56 | 0.397321 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0.040179 |
e004ab57c3294086a91490c226d7c40f3986ad7f | 4,265 | py | Python | src/reg_resampler.py | atif-hassan/Regression_ReSampling | 194b2ae8efea7598a6690792d40e42aba74c111b | [
"BSD-3-Clause"
] | 15 | 2020-06-09T20:08:04.000Z | 2021-11-21T15:58:09.000Z | src/reg_resampler.py | atif-hassan/Regression_ReSampling | 194b2ae8efea7598a6690792d40e42aba74c111b | [
"BSD-3-Clause"
] | null | null | null | src/reg_resampler.py | atif-hassan/Regression_ReSampling | 194b2ae8efea7598a6690792d40e42aba74c111b | [
"BSD-3-Clause"
] | 5 | 2020-06-13T22:07:51.000Z | 2021-05-21T03:26:45.000Z | class resampler:
def __init__(self):
import pandas as pd
from sklearn.preprocessing import LabelEncoder
from collections import Counter
import numpy as np
self.bins = 3
self.pd = pd
self.LabelEncoder = LabelEncoder
self.Counter = Counter
... | 41.813725 | 169 | 0.562251 | 4,263 | 0.999531 | 0 | 0 | 0 | 0 | 0 | 0 | 975 | 0.228605 |
e0063a8b35dfc827fe158a159fe5d8b8ab703065 | 4,920 | py | Python | get_data/speech_commands.py | patrick-kidger/generalised_shapelets | 04930c89dc4673e2af402895fe67655f8375a808 | [
"MIT"
] | 32 | 2020-05-31T17:41:58.000Z | 2022-03-28T18:38:11.000Z | get_data/speech_commands.py | patrick-kidger/generalised_shapelets | 04930c89dc4673e2af402895fe67655f8375a808 | [
"MIT"
] | 1 | 2022-02-09T22:13:03.000Z | 2022-02-09T23:55:28.000Z | get_data/speech_commands.py | patrick-kidger/generalised_shapelets | 04930c89dc4673e2af402895fe67655f8375a808 | [
"MIT"
] | 9 | 2020-07-17T16:50:24.000Z | 2021-12-13T11:29:12.000Z | import os
import pathlib
import sklearn.model_selection
import tarfile
import torch
import torchaudio
import urllib.request
here = pathlib.Path(__file__).resolve().parent
def _split_data(tensor, stratify):
# 0.7/0.15/0.15 train/val/test split
(train_tensor, testval_tensor,
train_stratify, testval_strati... | 42.051282 | 120 | 0.566057 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,019 | 0.207114 |
e008ab01b4020e37d916e20d303c66a51a23123e | 5,652 | py | Python | app/endpoints/products.py | duch94/spark_crud_test | 94a514797700c2e929792f0424fb0e9e911489b7 | [
"BSD-2-Clause"
] | null | null | null | app/endpoints/products.py | duch94/spark_crud_test | 94a514797700c2e929792f0424fb0e9e911489b7 | [
"BSD-2-Clause"
] | null | null | null | app/endpoints/products.py | duch94/spark_crud_test | 94a514797700c2e929792f0424fb0e9e911489b7 | [
"BSD-2-Clause"
] | null | null | null | from datetime import datetime
from typing import List
from flask import Blueprint, jsonify, request, json
from app.models.products import Product, Category, products_categories
from app import db
products_blueprint = Blueprint('products', __name__)
def create_or_get_categories(p: dict) -> List[Category]... | 45.580645 | 120 | 0.608457 | 0 | 0 | 0 | 0 | 4,674 | 0.826964 | 0 | 0 | 1,255 | 0.222045 |
e008c8c892e467ea561589969c08eaa2c9b808db | 1,701 | py | Python | util/config/validators/test/test_validate_bitbucket_trigger.py | giuseppe/quay | a1b7e4b51974edfe86f66788621011eef2667e6a | [
"Apache-2.0"
] | 2,027 | 2019-11-12T18:05:48.000Z | 2022-03-31T22:25:04.000Z | util/config/validators/test/test_validate_bitbucket_trigger.py | giuseppe/quay | a1b7e4b51974edfe86f66788621011eef2667e6a | [
"Apache-2.0"
] | 496 | 2019-11-12T18:13:37.000Z | 2022-03-31T10:43:45.000Z | util/config/validators/test/test_validate_bitbucket_trigger.py | giuseppe/quay | a1b7e4b51974edfe86f66788621011eef2667e6a | [
"Apache-2.0"
] | 249 | 2019-11-12T18:02:27.000Z | 2022-03-22T12:19:19.000Z | import pytest
from httmock import urlmatch, HTTMock
from util.config import URLSchemeAndHostname
from util.config.validator import ValidatorContext
from util.config.validators import ConfigValidationException
from util.config.validators.validate_bitbucket_trigger import BitbucketTriggerValidator
from test.fixtures i... | 29.842105 | 87 | 0.671958 | 0 | 0 | 0 | 0 | 764 | 0.449148 | 0 | 0 | 306 | 0.179894 |
e008cc40a9e990beff8a7a594350250e113f3691 | 2,414 | py | Python | Refraction.py | silkoch42/Geometric-Optics-from-QM | baf41b54c37835b527d5b98cb480d68bc2ff68c3 | [
"MIT"
] | null | null | null | Refraction.py | silkoch42/Geometric-Optics-from-QM | baf41b54c37835b527d5b98cb480d68bc2ff68c3 | [
"MIT"
] | null | null | null | Refraction.py | silkoch42/Geometric-Optics-from-QM | baf41b54c37835b527d5b98cb480d68bc2ff68c3 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Fri Mar 15 16:51:16 2019
@author: Silvan
"""
import numpy as np
import scipy
import matplotlib.pyplot as plt
k=1000
n1=2.0
n2=1.0
alpha=np.pi/6.0
beta=np.arcsin(n2/n1*np.sin(alpha))
ya=1.0
xa=-ya*np.tan(alpha)
yb=-1.0
xb=-yb*np.tan(beta)
def s(x):
... | 24.383838 | 95 | 0.583264 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 956 | 0.396023 |
e0097d9cfd4f53f9d94ad08b373e659436909217 | 444 | py | Python | readthedocs/docsitalia/management/commands/clear_elasticsearch.py | italia/readthedocs.org | 440d3885380d20ec24081f76e26d20701749e179 | [
"MIT"
] | 19 | 2018-03-28T12:28:35.000Z | 2022-02-14T20:09:42.000Z | readthedocs/docsitalia/management/commands/clear_elasticsearch.py | berez23/docs.italia.it | 440d3885380d20ec24081f76e26d20701749e179 | [
"MIT"
] | 274 | 2017-10-10T07:59:04.000Z | 2022-03-12T00:56:03.000Z | readthedocs/docsitalia/management/commands/clear_elasticsearch.py | italia/readthedocs.org | 440d3885380d20ec24081f76e26d20701749e179 | [
"MIT"
] | 13 | 2018-04-03T09:49:50.000Z | 2021-04-18T22:04:15.000Z | """Remove the readthedocs elasticsearch index."""
from __future__ import absolute_import
from django.conf import settings
from django.core.management.base import BaseCommand
from elasticsearch import Elasticsearch
class Command(BaseCommand):
"""Clear elasticsearch index."""
def handle(self, *args, **opti... | 23.368421 | 51 | 0.725225 | 224 | 0.504505 | 0 | 0 | 0 | 0 | 0 | 0 | 108 | 0.243243 |
e00b9ee8e43ae71af00a3fe383bedc3df745f04d | 7,574 | py | Python | train.py | vnbot2/BigGAN-PyTorch | 1725269d52e05fbd4d06dac64aa4906a8ae7a760 | [
"MIT"
] | null | null | null | train.py | vnbot2/BigGAN-PyTorch | 1725269d52e05fbd4d06dac64aa4906a8ae7a760 | [
"MIT"
] | null | null | null | train.py | vnbot2/BigGAN-PyTorch | 1725269d52e05fbd4d06dac64aa4906a8ae7a760 | [
"MIT"
] | null | null | null | """ BigGAN: The Authorized Unofficial PyTorch release
Code by A. Brock and A. Andonian
This code is an unofficial reimplementation of
"Large-Scale GAN Training for High Fidelity Natural Image Synthesis,"
by A. Brock, J. Donahue, and K. Simonyan (arXiv 1809.11096).
Let's go.
"""
import datetime
impor... | 40.287234 | 103 | 0.597571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,926 | 0.386322 |
e00c71d6078595059b1d0af82650622e80499174 | 1,693 | py | Python | geocamUtil/tempfiles.py | geocam/geocamUtilWeb | b64fc063c64b4b0baa140db4c126f2ff980756ab | [
"NASA-1.3"
] | 4 | 2017-03-03T16:24:24.000Z | 2018-06-24T05:50:40.000Z | geocamUtil/tempfiles.py | geocam/geocamUtilWeb | b64fc063c64b4b0baa140db4c126f2ff980756ab | [
"NASA-1.3"
] | 1 | 2021-09-29T17:17:30.000Z | 2021-09-29T17:17:30.000Z | geocamUtil/tempfiles.py | geocam/geocamUtilWeb | b64fc063c64b4b0baa140db4c126f2ff980756ab | [
"NASA-1.3"
] | 1 | 2017-12-19T20:45:53.000Z | 2017-12-19T20:45:53.000Z | # __BEGIN_LICENSE__
#Copyright (c) 2015, United States Government, as represented by the
#Administrator of the National Aeronautics and Space Administration.
#All rights reserved.
# __END_LICENSE__
import os
import time
import random
import shutil
from glob import glob
import traceback
import sys
from geocamUtil im... | 27.306452 | 93 | 0.617247 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 341 | 0.201418 |
e00d7dd12724a0363ee40d8c349e7cccfb71d6f4 | 5,752 | py | Python | Ex1:Tests/ex2.py | Lludion/Exercises-SE | 4d5b2b4f2989a3e2c7891ba2b766394dbfb43973 | [
"MIT"
] | null | null | null | Ex1:Tests/ex2.py | Lludion/Exercises-SE | 4d5b2b4f2989a3e2c7891ba2b766394dbfb43973 | [
"MIT"
] | null | null | null | Ex1:Tests/ex2.py | Lludion/Exercises-SE | 4d5b2b4f2989a3e2c7891ba2b766394dbfb43973 | [
"MIT"
] | null | null | null | # Ce fichier contient (au moins) cinq erreurs.
# Instructions:
# - tester jusqu'à atteindre 100% de couverture;
# - corriger les bugs;"
# - envoyer le diff ou le dépôt git par email."""
import hypothesis
from hypothesis import given, settings
from hypothesis.strategies import integers, lists
class BinHeap:
#st... | 31.26087 | 112 | 0.604312 | 2,145 | 0.372719 | 0 | 0 | 2,885 | 0.501303 | 0 | 0 | 1,033 | 0.179496 |
e00dbb3c20046835e182d01718caf34d09944176 | 22,455 | py | Python | python/snewpy/snowglobes.py | svalder/snewpy | 5723189ae3dce3506f2fab056bbef24c9ab1a31f | [
"BSD-3-Clause"
] | null | null | null | python/snewpy/snowglobes.py | svalder/snewpy | 5723189ae3dce3506f2fab056bbef24c9ab1a31f | [
"BSD-3-Clause"
] | null | null | null | python/snewpy/snowglobes.py | svalder/snewpy | 5723189ae3dce3506f2fab056bbef24c9ab1a31f | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""The ``snewpy.snowglobes`` module contains functions for interacting with SNOwGLoBES.
`SNOwGLoBES <https://github.com/SNOwGLoBES/snowglobes>`_ can estimate detected
event rates from a given input supernova neutrino flux. It supports many
different neutrino detectors, detector materials and in... | 46.298969 | 553 | 0.631485 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9,347 | 0.416255 |
e00e074bf789711cc01d53bcaa030d52c4e69f5b | 4,621 | py | Python | rlcycle/dqn_base/loss.py | cyoon1729/Rlcycle | 5c65b9dd61a6fd5d6dfe92f0b3e04bf309828569 | [
"MIT"
] | 128 | 2020-06-29T01:40:36.000Z | 2022-03-29T15:37:39.000Z | rlcycle/dqn_base/loss.py | cyoon1729/Rlcycle | 5c65b9dd61a6fd5d6dfe92f0b3e04bf309828569 | [
"MIT"
] | 8 | 2020-06-29T03:51:50.000Z | 2020-07-22T23:55:47.000Z | rlcycle/dqn_base/loss.py | cyoon1729/Rlcycle | 5c65b9dd61a6fd5d6dfe92f0b3e04bf309828569 | [
"MIT"
] | 24 | 2020-07-02T06:03:03.000Z | 2022-03-22T11:59:53.000Z | from typing import List, Tuple
from omegaconf import DictConfig
import torch
import torch.nn as nn
import torch.nn.functional as F
from rlcycle.common.abstract.loss import Loss
class DQNLoss(Loss):
"""Compute double DQN loss"""
def __init__(self, hyper_params: DictConfig, use_cuda: bool):
Loss.__in... | 34.485075 | 86 | 0.61069 | 4,433 | 0.959316 | 0 | 0 | 154 | 0.033326 | 0 | 0 | 95 | 0.020558 |
e00f4579dad4a0f1f3310721291b602f532b6bf5 | 12,518 | py | Python | scripts/gap_filling_viewer.py | raphischer/probgf | 01bd2be85aa98afd79fc05c1eb3e260b2bcd2ebd | [
"MIT"
] | 3 | 2020-11-19T10:28:57.000Z | 2021-04-15T17:16:24.000Z | scripts/gap_filling_viewer.py | raphischer/probgf | 01bd2be85aa98afd79fc05c1eb3e260b2bcd2ebd | [
"MIT"
] | null | null | null | scripts/gap_filling_viewer.py | raphischer/probgf | 01bd2be85aa98afd79fc05c1eb3e260b2bcd2ebd | [
"MIT"
] | null | null | null | """viewer application which allows to interactively view spatio-temporal gap filling results"""
import os
import argparse
from datetime import datetime, timedelta
from tkinter import Canvas, Tk, Button, RAISED, DISABLED, SUNKEN, NORMAL
import numpy as np
from PIL import Image, ImageTk
import probgf.media as media
cla... | 51.941909 | 158 | 0.616552 | 9,852 | 0.787027 | 0 | 0 | 0 | 0 | 0 | 0 | 1,434 | 0.114555 |
e00f57f732929e05a58cd0ef2eae47d08e8561a9 | 4,946 | py | Python | paypal/pro/tests.py | pdfcrowd/django-paypal | 0ea56dc6c799204f0f8719481f94d0c79de6eff5 | [
"Unlicense",
"MIT"
] | 1 | 2019-06-13T15:59:48.000Z | 2019-06-13T15:59:48.000Z | pro/tests.py | sirmmo/django-paypal | 0c8aeec1c319a08ce1bfdf828534d01b69b8fa27 | [
"MIT",
"Unlicense"
] | null | null | null | pro/tests.py | sirmmo/django-paypal | 0c8aeec1c319a08ce1bfdf828534d01b69b8fa27 | [
"MIT",
"Unlicense"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
from django.conf import settings
from django.core.handlers.wsgi import WSGIRequest
from django.forms import ValidationError
from django.http import QueryDict
from django.test import TestCase
from django.test.client import Client
from paypal.pro.fields import CreditCardField
fr... | 32.973333 | 234 | 0.593207 | 3,009 | 0.60837 | 0 | 0 | 0 | 0 | 0 | 0 | 2,468 | 0.498989 |
e00f75413d6a65ba71109974edd248bc1533ce8f | 1,010 | py | Python | Hackerrank_Bot_Saves_Princess.py | madhurgupta96/Algorithmic-Journey | 75868af1050c99fc25e295812ba1a47468c6737f | [
"Apache-2.0"
] | null | null | null | Hackerrank_Bot_Saves_Princess.py | madhurgupta96/Algorithmic-Journey | 75868af1050c99fc25e295812ba1a47468c6737f | [
"Apache-2.0"
] | null | null | null | Hackerrank_Bot_Saves_Princess.py | madhurgupta96/Algorithmic-Journey | 75868af1050c99fc25e295812ba1a47468c6737f | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Dec 7 19:46:40 2020
@author: Intel
"""
def displayPathtoPrincess(n,grid):
me_i=n//2
me_j=n//2
for i in range(n):
if 'p' in grid[i]:
pe_i=i
for j in range(n):
if 'p'==grid[i][j]:
pe... | 22.954545 | 40 | 0.372277 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 116 | 0.114851 |
e01063b5b93496a8c88b374770c28bc942feb23d | 65,397 | py | Python | gelviz/basic.py | HiDiHlabs/gelviz | 515f0462738b44609679c2a26c7d8ac3ed3b4b2b | [
"BSD-3-Clause"
] | null | null | null | gelviz/basic.py | HiDiHlabs/gelviz | 515f0462738b44609679c2a26c7d8ac3ed3b4b2b | [
"BSD-3-Clause"
] | null | null | null | gelviz/basic.py | HiDiHlabs/gelviz | 515f0462738b44609679c2a26c7d8ac3ed3b4b2b | [
"BSD-3-Clause"
] | null | null | null | import matplotlib.pyplot as plt
import pybedtools
import pandas as pnd
import numpy as np
import tabix
import matplotlib.ticker as ticker
from matplotlib.patches import Rectangle
from matplotlib.patches import Arrow
from matplotlib.path import Path
from matplotlib.patches import PathPatch
import matplotlib.cm as cm
imp... | 35.254447 | 80 | 0.545101 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 24,154 | 0.369344 |
e010b163b6fbc347a75063de7760418370bb37d6 | 31,171 | py | Python | toc/fsa/fsa.py | djrochford/toc | 934d19b4acda55a6d4610c8a91b1a6005ff7b683 | [
"MIT"
] | null | null | null | toc/fsa/fsa.py | djrochford/toc | 934d19b4acda55a6d4610c8a91b1a6005ff7b683 | [
"MIT"
] | null | null | null | toc/fsa/fsa.py | djrochford/toc | 934d19b4acda55a6d4610c8a91b1a6005ff7b683 | [
"MIT"
] | null | null | null | """
File containing DFA and NFA public classes
"""
import collections.abc
from itertools import product, chain, combinations
from string import printable
from typing import (
AbstractSet,
Container,
FrozenSet,
Iterable,
List,
Mapping,
MutableMapping,
Optional,
Set,
Tuple,
Uni... | 39.506971 | 91 | 0.595939 | 28,343 | 0.90776 | 0 | 0 | 6,111 | 0.195721 | 0 | 0 | 11,318 | 0.362489 |
e0112c386596780c5a86b0d6086dc2f7b6c2be8a | 429 | py | Python | Numbers/Roman Number Generator/tests.py | fossabot/IdeaBag2-Solutions | 73b554d9796510fc86e5fc55016732aa866266c6 | [
"MIT"
] | 10 | 2018-07-06T22:05:45.000Z | 2021-05-22T11:29:04.000Z | Numbers/Roman Number Generator/tests.py | jarik-marwede/IdeaBag2-Projects | c5fe9524ef03a6ebc098ab8aaee7448f5b877828 | [
"MIT"
] | 22 | 2018-07-13T17:16:43.000Z | 2022-01-11T11:16:08.000Z | Numbers/Roman Number Generator/tests.py | jarik-marwede/IdeaBag2-Projects | c5fe9524ef03a6ebc098ab8aaee7448f5b877828 | [
"MIT"
] | 1 | 2020-06-13T18:53:51.000Z | 2020-06-13T18:53:51.000Z | #!/usr/bin/env python3
import unittest
from roman_number_generator import arabic_to_roman
class Test(unittest.TestCase):
def _start_arabic_to_roman(self):
self.assertRaises(ValueError, arabic_to_roman, 4000)
self.assertEqual(arabic_to_roman(4), "IV")
self.assertEqual(arabic_to_roman(12),... | 23.833333 | 60 | 0.717949 | 286 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 0.104895 |
e012a92e1f872614d01a6331fee5e35c430a31f7 | 261 | py | Python | modules/moduleBase.py | saintaardvark/glouton-satnogs-data-downloader | dc8671340f558b1a21b41b9b04bab05fc15c7809 | [
"MIT"
] | null | null | null | modules/moduleBase.py | saintaardvark/glouton-satnogs-data-downloader | dc8671340f558b1a21b41b9b04bab05fc15c7809 | [
"MIT"
] | null | null | null | modules/moduleBase.py | saintaardvark/glouton-satnogs-data-downloader | dc8671340f558b1a21b41b9b04bab05fc15c7809 | [
"MIT"
] | null | null | null | from infrastructure.satnogClient import SatnogClient
import os
class ModuleBase:
def __init__(self, working_dir):
self.working_dir = working_dir
def runAfterDownload(self, file_name, full_path, observation):
raise NotImplementedError() | 29 | 66 | 0.762452 | 197 | 0.754789 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e013ea72c2e27425fa2415a60a17282e347acbb7 | 45,537 | py | Python | oregano_plugins/fusion/server.py | MrNaif2018/Oregano | cc08f813f9cbdb80d1ac607892f8439ec064ee04 | [
"MIT"
] | null | null | null | oregano_plugins/fusion/server.py | MrNaif2018/Oregano | cc08f813f9cbdb80d1ac607892f8439ec064ee04 | [
"MIT"
] | null | null | null | oregano_plugins/fusion/server.py | MrNaif2018/Oregano | cc08f813f9cbdb80d1ac607892f8439ec064ee04 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
#
# Oregano - a lightweight Ergon client
# CashFusion - an advanced coin anonymizer
#
# Copyright (C) 2020 Mark B. Lundeberg
#
# Permission is hereby granted, free of charge, to any person
# obtaining a copy of this software and associated documentation files
# (the "Software"), to deal in the So... | 45.310448 | 174 | 0.599798 | 42,368 | 0.930347 | 0 | 0 | 56 | 0.00123 | 0 | 0 | 13,317 | 0.292424 |
e014451ff2d26b3e408bb00a4f1a954adc75daa5 | 2,229 | py | Python | Excercici4Package/ex4.py | jtorrenth/CienciaDades | 81f005ed1ddcc218dcde8c5e2f1a297444389a82 | [
"MIT"
] | null | null | null | Excercici4Package/ex4.py | jtorrenth/CienciaDades | 81f005ed1ddcc218dcde8c5e2f1a297444389a82 | [
"MIT"
] | null | null | null | Excercici4Package/ex4.py | jtorrenth/CienciaDades | 81f005ed1ddcc218dcde8c5e2f1a297444389a82 | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
def countvalues(dataframe, subject):
# Filtrem i tractem el dataset
economydf = filtrar(dataframe, "economy")
# el printem
printar(economydf, subject)
# Filtrem ara per subject infected i ho desem en un altre df
infectedf = filtrar(dataframe, "infected")
#... | 31.842857 | 154 | 0.674742 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,022 | 0.457475 |
e0161b99cffb06588c8cd2a39e9f07abf59540ea | 18,987 | bzl | Python | build/rules.bzl | filmil/bazel-ebook | 433f1e157c6c1b7867abf72bc0e882c07477d60d | [
"Apache-2.0"
] | 9 | 2020-05-31T10:24:57.000Z | 2021-12-21T10:07:51.000Z | build/rules.bzl | filmil/bazel-ebook | 433f1e157c6c1b7867abf72bc0e882c07477d60d | [
"Apache-2.0"
] | 2 | 2021-11-09T23:25:01.000Z | 2021-11-10T08:42:22.000Z | build/rules.bzl | filmil/bazel-ebook | 433f1e157c6c1b7867abf72bc0e882c07477d60d | [
"Apache-2.0"
] | 2 | 2020-06-03T13:21:33.000Z | 2021-12-01T20:17:46.000Z | # Copyright (C) 2020 Google Inc.
#
# This file has been licensed under Apache 2.0 license. Please see the LICENSE
# file at the root of the repository.
# Build rules for building ebooks.
# This is the container
CONTAINER = "filipfilmar/ebook-buildenv:1.1"
# Use this for quick local runs.
#CONTAINER = "ebook-builden... | 32.126904 | 103 | 0.599357 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,564 | 0.240375 |
e0164a1f4fee849a8bca46fb970244ecbfd603fe | 715 | py | Python | 1094 EXPERIENCIAS.py | castrolimoeiro/Uri-exercise | 7a9227c55a79f14fe8bde4aa0ebb4c268bbda4bb | [
"MIT"
] | null | null | null | 1094 EXPERIENCIAS.py | castrolimoeiro/Uri-exercise | 7a9227c55a79f14fe8bde4aa0ebb4c268bbda4bb | [
"MIT"
] | null | null | null | 1094 EXPERIENCIAS.py | castrolimoeiro/Uri-exercise | 7a9227c55a79f14fe8bde4aa0ebb4c268bbda4bb | [
"MIT"
] | null | null | null | n = int(input())
coelho = rato = sapo = contador = 0
for i in range(0, n):
q, t = input().split(' ')
t = t.upper()
q = int(q)
if 1 <= q <= 15:
contador += q
if t == 'C':
coelho += q
elif t == 'R':
rato += q
elif t == 'S':
sapo += q
po... | 25.535714 | 51 | 0.544056 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 243 | 0.33986 |
e016b94fa3454d62f7b448ca14631899dd78dc4c | 299 | py | Python | gravur/common/amountinput.py | F483/gravur | 575c268d9ac28aa0ba00f1e5109bd74c3b7b69a5 | [
"MIT"
] | 3 | 2015-07-20T17:56:21.000Z | 2017-10-22T05:52:13.000Z | gravur/common/amountinput.py | F483/gravur | 575c268d9ac28aa0ba00f1e5109bd74c3b7b69a5 | [
"MIT"
] | null | null | null | gravur/common/amountinput.py | F483/gravur | 575c268d9ac28aa0ba00f1e5109bd74c3b7b69a5 | [
"MIT"
] | null | null | null | # coding: utf-8
# Copyright (c) 2015 Fabian Barkhau <fabian.barkhau@gmail.com>
# License: MIT (see LICENSE file)
from kivy.uix.boxlayout import BoxLayout
from gravur.common.labelbox import LabelBox # NOQA
from gravur.utils import load_widget
@load_widget
class AmountInput(BoxLayout):
pass
| 21.357143 | 62 | 0.772575 | 38 | 0.12709 | 0 | 0 | 51 | 0.170569 | 0 | 0 | 116 | 0.38796 |
e018a8edf8d16988caad3f9660a381b73b1f97c4 | 17,156 | py | Python | tibanna/top.py | 4dn-dcic/tibanna | bb84597c425a481a230be30cb0ed9b99c774e53d | [
"MIT"
] | 62 | 2017-02-16T02:16:22.000Z | 2022-02-07T08:26:12.000Z | tibanna/top.py | 4dn-dcic/tibanna | bb84597c425a481a230be30cb0ed9b99c774e53d | [
"MIT"
] | 77 | 2017-10-26T20:17:35.000Z | 2022-03-25T22:56:32.000Z | tibanna/top.py | 4dn-dcic/tibanna | bb84597c425a481a230be30cb0ed9b99c774e53d | [
"MIT"
] | 19 | 2017-01-27T16:37:37.000Z | 2021-12-12T13:52:01.000Z | import datetime
class Top(object):
"""class TopSeries stores the information of a series of top commands
::
echo -n 'Timestamp: '; date +%F-%H:%M:%S
top -b -n1 [-i] [-c]
over short intervals to monitor the same set of processes over time.
An example input content looks like below, ... | 47.392265 | 148 | 0.6199 | 17,134 | 0.998718 | 0 | 0 | 2,015 | 0.117452 | 0 | 0 | 8,467 | 0.49353 |
e01a18c1d0d2ecbc1fcb6159c9f9c87becb0c6cc | 1,458 | py | Python | venv/Lib/site-packages/zmq/tests/test_draft.py | ajayiagbebaku/NFL-Model | afcc67a85ca7138c58c3334d45988ada2da158ed | [
"MIT"
] | 603 | 2020-12-23T13:49:32.000Z | 2022-03-31T23:38:03.000Z | venv/Lib/site-packages/zmq/tests/test_draft.py | ajayiagbebaku/NFL-Model | afcc67a85ca7138c58c3334d45988ada2da158ed | [
"MIT"
] | 387 | 2020-12-15T14:54:04.000Z | 2022-03-31T07:00:21.000Z | venv/Lib/site-packages/zmq/tests/test_draft.py | ajayiagbebaku/NFL-Model | afcc67a85ca7138c58c3334d45988ada2da158ed | [
"MIT"
] | 35 | 2021-03-26T03:12:04.000Z | 2022-03-23T10:15:10.000Z | # -*- coding: utf8 -*-
# Copyright (C) PyZMQ Developers
# Distributed under the terms of the Modified BSD License.
import os
import platform
import time
import pytest
import zmq
from zmq.tests import BaseZMQTestCase, skip_pypy
class TestDraftSockets(BaseZMQTestCase):
def setUp(self):
if not zmq.DRAFT_AP... | 29.16 | 71 | 0.593964 | 1,226 | 0.840878 | 0 | 0 | 0 | 0 | 0 | 0 | 209 | 0.143347 |
e01a5f16e11613ae6cff496ae606faff7b1d0e27 | 460 | py | Python | home/push/mipush/APIError.py | he0119/smart-home | bdd3a59a8c46c0fdc07ac3049bf589c7f95a2683 | [
"MIT"
] | null | null | null | home/push/mipush/APIError.py | he0119/smart-home | bdd3a59a8c46c0fdc07ac3049bf589c7f95a2683 | [
"MIT"
] | 223 | 2020-02-21T06:16:56.000Z | 2022-03-01T22:24:19.000Z | home/push/mipush/APIError.py | he0119/smart-home | bdd3a59a8c46c0fdc07ac3049bf589c7f95a2683 | [
"MIT"
] | null | null | null | class APIError(Exception):
"""
raise APIError if receiving json message indicating failure.
"""
def __init__(self, error_code, error, request):
self.error_code = error_code
self.error = error
self.request = request
Exception.__init__(self, error)
def __str__(self):
... | 25.555556 | 64 | 0.576087 | 459 | 0.997826 | 0 | 0 | 0 | 0 | 0 | 0 | 107 | 0.232609 |
e01cbf8a1a1ab981a1d993596c3a332451dcd74d | 367 | py | Python | pythonlibs/mantis/templates/webapp/src/webapp/base.py | adoggie/Tibet.6 | 3c53060edafd80b9c4dafa10699a68d86a410c66 | [
"MIT"
] | 22 | 2019-10-28T07:28:12.000Z | 2022-03-19T15:36:41.000Z | AliceBackend/src/AliceBackend/base.py | adoggie/Tibet.6 | 3c53060edafd80b9c4dafa10699a68d86a410c66 | [
"MIT"
] | 1 | 2019-11-07T04:54:14.000Z | 2019-11-07T07:12:48.000Z | AliceBackend/src/AliceBackend/base.py | adoggie/Tibet.6 | 3c53060edafd80b9c4dafa10699a68d86a410c66 | [
"MIT"
] | 13 | 2019-10-28T07:29:07.000Z | 2021-11-03T06:53:12.000Z | #coding:utf-8
class SystemDeviceType(object):
InnerBox = 1 # 主屏分离的室内主机
InnerScreen = 2 # 主屏分离的室内屏
OuterBox = 3 # 室外机
PropCallApp = 4 # 物业值守
PropSentryApp = 5 # 物业岗亭机
Others = 10
ValidatedList = (1,2,3,4,5)
class Constants(object):
SUPER_ACCESS_TOKEN = 'YTU3NzV... | 24.466667 | 80 | 0.643052 | 407 | 0.957647 | 0 | 0 | 0 | 0 | 0 | 0 | 165 | 0.388235 |
e01cd6185b052b2c9153c8eec135e9e3a2cf7572 | 667 | py | Python | base/site-packages/django_qbe/urls.py | edisonlz/fastor | 342078a18363ac41d3c6b1ab29dbdd44fdb0b7b3 | [
"Apache-2.0"
] | 285 | 2019-12-23T09:50:21.000Z | 2021-12-08T09:08:49.000Z | base/site-packages/django_qbe/urls.py | jeckun/fastor | 342078a18363ac41d3c6b1ab29dbdd44fdb0b7b3 | [
"Apache-2.0"
] | null | null | null | base/site-packages/django_qbe/urls.py | jeckun/fastor | 342078a18363ac41d3c6b1ab29dbdd44fdb0b7b3 | [
"Apache-2.0"
] | 9 | 2019-12-23T12:59:25.000Z | 2022-03-15T05:12:11.000Z | # -*- coding: utf-8 -*-
from django.conf.urls.defaults import patterns, url
from django_qbe.exports import formats
urlpatterns = patterns('django_qbe.views',
url(r'^$', 'qbe_form', name="qbe_form"),
url(r'^js/$', 'qbe_js', name="qbe_js"),
url(r'^results/bookmark/$',
'qbe_bookmark', name="qbe_bookma... | 37.055556 | 73 | 0.611694 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 351 | 0.526237 |
e01d041f8b5c1564d154529462e58e50b56f4910 | 5,264 | py | Python | augment.py | docongminh/Text-Image-Augmentation-python | da27e8346ce2339f801335923faf7b14e026fd90 | [
"Apache-2.0"
] | 217 | 2020-02-09T07:44:18.000Z | 2022-03-24T03:52:51.000Z | ocraug/augment.py | lzmisscc/Text-Image-Augmentation-python | 12f104452e939444eb0fd4ac96143b78d091845b | [
"Apache-2.0"
] | 5 | 2020-03-23T02:24:33.000Z | 2022-03-13T07:02:04.000Z | ocraug/augment.py | lzmisscc/Text-Image-Augmentation-python | 12f104452e939444eb0fd4ac96143b78d091845b | [
"Apache-2.0"
] | 42 | 2020-02-10T06:42:31.000Z | 2022-03-13T11:54:18.000Z | # -*- coding:utf-8 -*-
# Author: RubanSeven
# import cv2
import numpy as np
# from transform import get_perspective_transform, warp_perspective
from warp_mls import WarpMLS
def distort(src, segment):
img_h, img_w = src.shape[:2]
cut = img_w // segment
thresh = cut // 3
# thresh = img_h... | 33.74359 | 107 | 0.586816 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,442 | 0.463906 |
e01de102906f7a6f8c39855d08b6adaa53f5663c | 1,347 | py | Python | Graph/print all paths from two vertices in a directed graph.py | ikaushikpal/DS-450-python | 9466f77fb9db9e6a5bb3f20aa89ba6332f49e848 | [
"MIT"
] | 3 | 2021-06-28T12:04:19.000Z | 2021-09-07T07:23:41.000Z | Graph/print all paths from two vertices in a directed graph.py | SupriyoDam/DS-450-python | 5dc21ce61b3279e9bd9d6ef3ad236667227ca283 | [
"MIT"
] | null | null | null | Graph/print all paths from two vertices in a directed graph.py | SupriyoDam/DS-450-python | 5dc21ce61b3279e9bd9d6ef3ad236667227ca283 | [
"MIT"
] | 1 | 2021-06-28T15:42:55.000Z | 2021-06-28T15:42:55.000Z | from collections import defaultdict
class Graph:
def __init__(self):
self.graph = defaultdict(list)
def addEdge(self, starting_vertex, end_vertex):
self.graph[starting_vertex].append(end_vertex)
def printAllPaths(self, starting_vertex, target_vertex):
visitedVertices = defaultdic... | 28.659574 | 85 | 0.628062 | 1,063 | 0.789161 | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 0.044543 |
e01e00717692398432049be3d51d551f012c222e | 1,958 | py | Python | tests/pipegeojson_test/test_pipegeojson.py | kamyarrasta/berrl | 1cf2ba8194498ec8f80d2908399ad00f1e963d83 | [
"Apache-2.0"
] | 1 | 2016-03-04T18:30:48.000Z | 2016-03-04T18:30:48.000Z | tests/pipegeojson_test/test_pipegeojson.py | kamyarrasta/berrl | 1cf2ba8194498ec8f80d2908399ad00f1e963d83 | [
"Apache-2.0"
] | null | null | null | tests/pipegeojson_test/test_pipegeojson.py | kamyarrasta/berrl | 1cf2ba8194498ec8f80d2908399ad00f1e963d83 | [
"Apache-2.0"
] | null | null | null | # testing the output of pipegeojson against different input types
import berrl as bl
import itertools
# making line with csv file location
line1=bl.make_line('csvs/line_example.csv')
# making line with list
testlist=bl.read('csvs/line_example.csv')
line2=bl.make_line(testlist,list=True)
# testing each line geojson ... | 22.25 | 65 | 0.759959 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,031 | 0.526558 |
e01f044aab30cbd5165bae297a319d57b579704e | 912 | py | Python | tierpsy/debugging/catch_infinite_loop.py | mgh17/tierpsy-tracker | a18c06aa80a5fb22fd51563d82c639b520742777 | [
"MIT"
] | 9 | 2021-01-11T10:49:21.000Z | 2022-02-28T15:48:00.000Z | tierpsy/debugging/catch_infinite_loop.py | mgh17/tierpsy-tracker | a18c06aa80a5fb22fd51563d82c639b520742777 | [
"MIT"
] | 18 | 2020-05-08T15:43:08.000Z | 2022-03-23T10:19:24.000Z | tierpsy/debugging/catch_infinite_loop.py | mgh17/tierpsy-tracker | a18c06aa80a5fb22fd51563d82c639b520742777 | [
"MIT"
] | 10 | 2019-12-18T12:10:12.000Z | 2022-01-05T09:12:47.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon May 8 16:19:07 2017
@author: ajaver
"""
import os
import cv2
import sys
import glob
import threading
from functools import partial
main_dir = '/Volumes/behavgenom_archive$/Celine/raw/'
fnames = glob.glob(os.path.join(main_dir, '**', '*.avi'))
fnames =... | 21.714286 | 71 | 0.663377 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 177 | 0.194079 |
e0201884251a727105b3a8b3946ca3bc3aefd73d | 480 | py | Python | devito/passes/iet/languages/C.py | guaacoelho/devito | 7e0b873114675752c4a49ed9076ee5d52997833c | [
"MIT"
] | 199 | 2016-08-18T23:33:05.000Z | 2019-12-24T07:08:48.000Z | devito/passes/iet/languages/C.py | guaacoelho/devito | 7e0b873114675752c4a49ed9076ee5d52997833c | [
"MIT"
] | 949 | 2016-04-25T11:41:34.000Z | 2019-12-27T10:43:40.000Z | devito/passes/iet/languages/C.py | guaacoelho/devito | 7e0b873114675752c4a49ed9076ee5d52997833c | [
"MIT"
] | 78 | 2016-08-30T07:42:34.000Z | 2019-12-13T20:34:45.000Z | from devito.ir import Call
from devito.passes.iet.definitions import DataManager
from devito.passes.iet.langbase import LangBB
__all__ = ['CBB', 'CDataManager']
class CBB(LangBB):
mapper = {
'aligned': lambda i:
'__attribute__((aligned(%d)))' % i,
'host-alloc': lambda i, j, k:
... | 21.818182 | 53 | 0.591667 | 312 | 0.65 | 0 | 0 | 0 | 0 | 0 | 0 | 103 | 0.214583 |
e0215d4c222f248ad7105000615a748c88340354 | 2,026 | py | Python | tests/_test_image.py | Freakwill/ell | 8aa510cefb5d63db35071820208971013fac154c | [
"MIT"
] | null | null | null | tests/_test_image.py | Freakwill/ell | 8aa510cefb5d63db35071820208971013fac154c | [
"MIT"
] | null | null | null | tests/_test_image.py | Freakwill/ell | 8aa510cefb5d63db35071820208971013fac154c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""Test methods about image process
Make sure the existance of the images
"""
from ell import *
import numpy as np
_filter = Filter.from_name('db4')
def test_resize():
chennal=0
c = ImageRGB.open('src/lenna.jpg')
d=c.resize(minInd=(-100,-100), maxInd=(100,100))
d.to_image()
... | 28.535211 | 109 | 0.605133 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 290 | 0.143139 |
e02439282d17416800f4bfd8e050f404bc4d7706 | 5,991 | py | Python | donkeycar/parts/pytorch/torch_data.py | adricl/donkeycar | 8eb2705ed4161c0d6a9cfd9c7b0a1c0ca5abaeef | [
"MIT"
] | 1,100 | 2017-01-18T16:08:33.000Z | 2018-11-04T00:42:54.000Z | donkeycar/parts/pytorch/torch_data.py | adricl/donkeycar | 8eb2705ed4161c0d6a9cfd9c7b0a1c0ca5abaeef | [
"MIT"
] | 199 | 2016-12-20T07:45:16.000Z | 2018-11-01T02:30:12.000Z | donkeycar/parts/pytorch/torch_data.py | adricl/donkeycar | 8eb2705ed4161c0d6a9cfd9c7b0a1c0ca5abaeef | [
"MIT"
] | 521 | 2017-01-10T21:53:24.000Z | 2018-11-01T18:17:52.000Z | # PyTorch
import torch
from torch.utils.data import IterableDataset, DataLoader
from donkeycar.utils import train_test_split
from donkeycar.parts.tub_v2 import Tub
from torchvision import transforms
from typing import List, Any
from donkeycar.pipeline.types import TubRecord, TubDataset
from donkeycar.pipeline.sequence ... | 37.21118 | 95 | 0.633951 | 4,556 | 0.760474 | 0 | 0 | 0 | 0 | 0 | 0 | 2,320 | 0.387248 |
e0251d7f1fc5a3340792a778c923482bb49bcf13 | 316 | py | Python | lite/__init__.py | CleverInsight/sparx-lite | 1b729e8d11292e9737d57e092ee8916999ab1338 | [
"MIT"
] | null | null | null | lite/__init__.py | CleverInsight/sparx-lite | 1b729e8d11292e9737d57e092ee8916999ab1338 | [
"MIT"
] | null | null | null | lite/__init__.py | CleverInsight/sparx-lite | 1b729e8d11292e9737d57e092ee8916999ab1338 | [
"MIT"
] | null | null | null | import os
from tornado.template import Template
__SNIPPET__ = os.path.join(os.path.dirname(os.path.abspath(__file__)), '_snippet')
def T(name, **kw):
t = Template(open(os.path.join(__SNIPPET__, name + '.html'), 'rb').read())
return t.generate(**dict([('template_file', name)] + globals().items() + kw.items()))
| 31.6 | 86 | 0.686709 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 0.113924 |
e025cd2fbcd0226b08e7474394109f24f199f13c | 3,857 | py | Python | homeassistant/components/sensor/hddtemp.py | mdonoughe/home-assistant | d9805160bc787146bff0c434fdcab995716f0f8c | [
"Apache-2.0"
] | 2 | 2020-02-20T18:47:55.000Z | 2021-11-09T11:33:28.000Z | homeassistant/components/sensor/hddtemp.py | mdonoughe/home-assistant | d9805160bc787146bff0c434fdcab995716f0f8c | [
"Apache-2.0"
] | 1 | 2021-02-08T20:56:06.000Z | 2021-02-08T20:56:06.000Z | homeassistant/components/sensor/hddtemp.py | diophung/home-assistant | a5aa1118937702ca8bec050614ee52dc14f8466b | [
"Apache-2.0"
] | 1 | 2020-11-21T09:37:47.000Z | 2020-11-21T09:37:47.000Z | """
Support for getting the disk temperature of a host.
For more details about this platform, please refer to the documentation at
https://home-assistant.io/components/sensor.hddtemp/
"""
import logging
from datetime import timedelta
from telnetlib import Telnet
import voluptuous as vol
import homeassistant.helpers.... | 29.219697 | 79 | 0.637283 | 2,167 | 0.561836 | 0 | 0 | 620 | 0.160747 | 0 | 0 | 796 | 0.206378 |
e026ba13c5f7c12090e3dee6c5f9a4f65eca3bb7 | 1,402 | py | Python | boomer.py | JohnnySn0w/BabbleBot | 03a383b063e4f28049f27f8ec669f22767ed8a87 | [
"MIT"
] | 1 | 2019-07-07T01:46:55.000Z | 2019-07-07T01:46:55.000Z | boomer.py | JohnnySn0w/BabbleBot | 03a383b063e4f28049f27f8ec669f22767ed8a87 | [
"MIT"
] | 1 | 2019-07-26T18:34:02.000Z | 2019-07-26T18:34:02.000Z | boomer.py | JohnnySn0w/BabbleBot | 03a383b063e4f28049f27f8ec669f22767ed8a87 | [
"MIT"
] | 1 | 2020-05-10T01:27:48.000Z | 2020-05-10T01:27:48.000Z | import random
prefix = [
'Look at you! ',
'Bless ',
'Bless! ',
'I heard about that! ',
'Amen!',
'You and the kids doing alright?',
'Miss ya\'ll!'
]
suffix = [
'. Amen!',
'. God bless america',
'. God bless!',
' haha',
'. love ya!',
'. love ya\'ll!',
]
def add_pre_suf(sentence):
if random.randint(1,10) <= 6:
... | 23.366667 | 76 | 0.53067 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 201 | 0.143367 |
e026dd61a71f4c0236cf71cd04ff440228426371 | 1,303 | py | Python | bot/views.py | eyobofficial/COVID-19-Mutual-Aid | 42d30ce95b0e9c717c5eda3ecaafea2812ec34f7 | [
"MIT"
] | null | null | null | bot/views.py | eyobofficial/COVID-19-Mutual-Aid | 42d30ce95b0e9c717c5eda3ecaafea2812ec34f7 | [
"MIT"
] | 5 | 2020-03-19T17:49:50.000Z | 2021-06-10T20:06:14.000Z | bot/views.py | eyobofficial/COVID-19-Mutual-Aid | 42d30ce95b0e9c717c5eda3ecaafea2812ec34f7 | [
"MIT"
] | null | null | null | import telegram
from django.conf import settings
from django.shortcuts import redirect
from django.utils.decorators import method_decorator
from django.views.generic import View
from django.views.decorators.csrf import csrf_exempt
from braces.views import CsrfExemptMixin
from rest_framework.authentication import Bas... | 29.613636 | 61 | 0.692249 | 672 | 0.515733 | 0 | 0 | 720 | 0.552571 | 0 | 0 | 100 | 0.076746 |
e026df5666a9c260f8a2d313e1edc3eee3cad4f7 | 9,053 | py | Python | code/counterfactual_generative_networks-main/imagenet/train_cgn.py | dummyxyz1/re_counterfactual_generative | 4dda8e17a1123a564d60be82c17e9589155fb2e2 | [
"MIT"
] | null | null | null | code/counterfactual_generative_networks-main/imagenet/train_cgn.py | dummyxyz1/re_counterfactual_generative | 4dda8e17a1123a564d60be82c17e9589155fb2e2 | [
"MIT"
] | null | null | null | code/counterfactual_generative_networks-main/imagenet/train_cgn.py | dummyxyz1/re_counterfactual_generative | 4dda8e17a1123a564d60be82c17e9589155fb2e2 | [
"MIT"
] | null | null | null | import os
from datetime import datetime
from os.path import join
import pathlib
from tqdm import tqdm
import argparse
import torch
from torch import nn, optim
from torch.autograd import Variable
import torchvision
from torchvision.transforms import Pad
from torchvision.utils import make_grid
import repackage
repackage... | 37.720833 | 98 | 0.629515 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,428 | 0.157738 |
e0274bb01109146cf480d663260e32b7e8a8cc2d | 580 | py | Python | portfolio/urls.py | ramza007/Ramza.io | 2172d9ac13e87becbc8644ad5755070f48fab8da | [
"Apache-2.0"
] | 3 | 2019-12-16T16:47:16.000Z | 2020-07-28T19:47:34.000Z | portfolio/urls.py | ramza007/Ramza.io | 2172d9ac13e87becbc8644ad5755070f48fab8da | [
"Apache-2.0"
] | 15 | 2019-12-05T03:38:19.000Z | 2022-03-13T02:35:30.000Z | portfolio/urls.py | ramza007/Ramza.io | 2172d9ac13e87becbc8644ad5755070f48fab8da | [
"Apache-2.0"
] | null | null | null | from django.conf.urls import url
from django.urls import path, include,re_path
from . import views
from rest_framework.authtoken.views import obtain_auth_token
urlpatterns = [
path('', views.index, name='index'),
path('about', views.about, name='about'),
path('projects', views.projects, name='projects'),... | 34.117647 | 92 | 0.7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 138 | 0.237931 |
e027abc215159b586950e87882ad8ad4be055155 | 407 | py | Python | tests/resources/mlflow-test-plugin/mlflow_test_plugin/file_store.py | iPieter/kiwi | 76b66872fce68873809a0dea112e2ed552ae5b63 | [
"Apache-2.0"
] | null | null | null | tests/resources/mlflow-test-plugin/mlflow_test_plugin/file_store.py | iPieter/kiwi | 76b66872fce68873809a0dea112e2ed552ae5b63 | [
"Apache-2.0"
] | 1 | 2021-01-24T13:34:51.000Z | 2021-01-24T13:34:51.000Z | tests/resources/mlflow-test-plugin/mlflow_test_plugin/file_store.py | iPieter/kiwi | 76b66872fce68873809a0dea112e2ed552ae5b63 | [
"Apache-2.0"
] | null | null | null | from six.moves import urllib
from kiwi.store.tracking.file_store import FileStore
class PluginFileStore(FileStore):
"""FileStore provided through entrypoints system"""
def __init__(self, store_uri=None, artifact_uri=None):
path = urllib.parse.urlparse(store_uri).path if store_uri else None
s... | 31.307692 | 75 | 0.746929 | 321 | 0.788698 | 0 | 0 | 0 | 0 | 0 | 0 | 51 | 0.125307 |
e02820e74734d672d90f15bf093da7319a0c92ba | 12,815 | py | Python | tests/server/test_flask_api.py | YuhangCh/terracotta | 867ba5f7425fa88881f4c161d81cc7311f4f9c4e | [
"MIT"
] | null | null | null | tests/server/test_flask_api.py | YuhangCh/terracotta | 867ba5f7425fa88881f4c161d81cc7311f4f9c4e | [
"MIT"
] | null | null | null | tests/server/test_flask_api.py | YuhangCh/terracotta | 867ba5f7425fa88881f4c161d81cc7311f4f9c4e | [
"MIT"
] | null | null | null | from io import BytesIO
import json
import urllib.parse
from collections import OrderedDict
from PIL import Image
import numpy as np
import pytest
@pytest.fixture(scope='module')
def flask_app():
from terracotta.server import create_app
return create_app()
@pytest.fixture(scope='module')
def client(flask_a... | 30.731415 | 99 | 0.65595 | 0 | 0 | 87 | 0.006789 | 236 | 0.018416 | 0 | 0 | 3,504 | 0.27343 |
e02908fac191deeaa9eb04515ee51d7d466320c5 | 1,695 | py | Python | url.py | matthieucan/shorturl | a7f7fab61e8b23b352590797ca4959ed166c865e | [
"WTFPL"
] | 1 | 2018-10-19T01:57:29.000Z | 2018-10-19T01:57:29.000Z | url.py | matthieucan/shorturl | a7f7fab61e8b23b352590797ca4959ed166c865e | [
"WTFPL"
] | null | null | null | url.py | matthieucan/shorturl | a7f7fab61e8b23b352590797ca4959ed166c865e | [
"WTFPL"
] | null | null | null | def base_conv(n, input_base=10, output_base=10):
"""
Converts a number n from base input_base to base output_base.
The following symbols are used to represent numbers:
0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ
n can be an int if input_base <= 10, and a string otherwise.
... | 36.06383 | 78 | 0.640708 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 597 | 0.352212 |
e02960393a5a94bda69769c1a73c609b148e700d | 13,612 | py | Python | src/qtt/qiskit/passes.py | codecrap/qtt | 39a8bf21f7bcab94940a66f4d553a14bf34f82b0 | [
"MIT"
] | null | null | null | src/qtt/qiskit/passes.py | codecrap/qtt | 39a8bf21f7bcab94940a66f4d553a14bf34f82b0 | [
"MIT"
] | null | null | null | src/qtt/qiskit/passes.py | codecrap/qtt | 39a8bf21f7bcab94940a66f4d553a14bf34f82b0 | [
"MIT"
] | null | null | null | import logging
from typing import Dict, List, Optional
import numpy as np
import qiskit
from qiskit.circuit import Barrier, Delay, Reset
from qiskit.circuit.library import (CRXGate, CRYGate, CRZGate, CZGate,
PhaseGate, RXGate, RYGate, RZGate, U1Gate,
... | 36.591398 | 115 | 0.563914 | 12,778 | 0.938731 | 0 | 0 | 350 | 0.025713 | 0 | 0 | 2,881 | 0.211651 |
e029ad3e92c68df36a0c0c69723e696b156c5364 | 5,616 | py | Python | IAFNNESTA.py | JonathanAlis/IAFNNESTA | 6845bed7e41a162a60e65d709f37cf975c8c8a4e | [
"MIT"
] | 3 | 2021-05-13T05:51:42.000Z | 2022-02-06T13:36:52.000Z | IAFNNESTA.py | JonathanAlis/IAFNNESTA | 6845bed7e41a162a60e65d709f37cf975c8c8a4e | [
"MIT"
] | null | null | null | IAFNNESTA.py | JonathanAlis/IAFNNESTA | 6845bed7e41a162a60e65d709f37cf975c8c8a4e | [
"MIT"
] | 1 | 2022-02-06T13:36:39.000Z | 2022-02-06T13:36:39.000Z | def help():
return '''
Isotropic-Anisotropic Filtering Norm Nesterov Algorithm
Solves the filtering norm minimization + quadratic term problem
Nesterov algorithm, with continuation:
argmin_x || iaFN(x) ||_1/2 subjected to ||b - Ax||_2^2 < delta
If no filter is provided, solves the L1.
Continuation is perf... | 35.770701 | 215 | 0.51834 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,982 | 0.530983 |
e029f3704209eae0d9983e10eec83eadf0c6a288 | 6,952 | py | Python | hypatia/util/__init__.py | pfw/hypatia | 407cd62e4817c85188aa6abdf204c5aaff5ab570 | [
"ZPL-2.1"
] | null | null | null | hypatia/util/__init__.py | pfw/hypatia | 407cd62e4817c85188aa6abdf204c5aaff5ab570 | [
"ZPL-2.1"
] | null | null | null | hypatia/util/__init__.py | pfw/hypatia | 407cd62e4817c85188aa6abdf204c5aaff5ab570 | [
"ZPL-2.1"
] | null | null | null | import itertools
import BTrees
from persistent import Persistent
from ZODB.broken import Broken
from zope.interface import implementer
_marker = object()
from .. import exc
from ..interfaces import (
IResultSet,
STABLE,
)
@implementer(IResultSet)
class ResultSet(object):
"""Implements :class:`hypatia.i... | 31.174888 | 85 | 0.60889 | 6,685 | 0.961594 | 94 | 0.013521 | 3,120 | 0.448792 | 0 | 0 | 1,682 | 0.241945 |
e02a89e62a53d61fc9086acef78dc03df26f1de7 | 2,140 | py | Python | backend/listings/migrations/0001_initial.py | relaxxpls/Music-Control | 76f5d10904f820607b3eb756850d5c5d7d89d875 | [
"MIT"
] | null | null | null | backend/listings/migrations/0001_initial.py | relaxxpls/Music-Control | 76f5d10904f820607b3eb756850d5c5d7d89d875 | [
"MIT"
] | null | null | null | backend/listings/migrations/0001_initial.py | relaxxpls/Music-Control | 76f5d10904f820607b3eb756850d5c5d7d89d875 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.3 on 2021-05-30 04:28
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
initial = True
dependencies = [
('realtors', '0001_initial'),
]
operations = [
migrations.Cr... | 48.636364 | 158 | 0.583645 | 1,985 | 0.92757 | 0 | 0 | 0 | 0 | 0 | 0 | 455 | 0.212617 |
e02ae313e5c6ccbda99f1c423609cc20c6a48485 | 483 | py | Python | examples/example_without_CommandSet/my_listeners.py | LeConstellationniste/DiscordFramework | 24d4b9b7cb0a21d3cec9d5362ab0828c5e15a3af | [
"CC0-1.0"
] | 1 | 2021-01-27T14:55:03.000Z | 2021-01-27T14:55:03.000Z | examples/example_without_CommandSet/my_listeners.py | LeConstellationniste/DiscordFramework | 24d4b9b7cb0a21d3cec9d5362ab0828c5e15a3af | [
"CC0-1.0"
] | null | null | null | examples/example_without_CommandSet/my_listeners.py | LeConstellationniste/DiscordFramework | 24d4b9b7cb0a21d3cec9d5362ab0828c5e15a3af | [
"CC0-1.0"
] | null | null | null | import asyncio
import discord
# Just with a function to add to the bot.
async def on_message(message):
if not message.author.bot:
await message.channel.send(f"{message.author.mention} a envoyé un message!")
# A Listener already created with the function
from discordEasy.objects import Listener
async def on_messa... | 28.411765 | 78 | 0.784679 | 0 | 0 | 0 | 0 | 0 | 0 | 276 | 0.569072 | 185 | 0.381443 |
e02beca3eabc9ebe9a2e1d16196b54fbf1a8bc1b | 4,024 | py | Python | pianonet/serving/app.py | robgon-art/pianonet | 8d8a827bc8d310b8ce3f66259bbdf72648e9ca32 | [
"MIT"
] | 14 | 2020-09-01T11:16:28.000Z | 2021-05-02T18:04:21.000Z | pianonet/serving/app.py | robgon-art/pianonet | 8d8a827bc8d310b8ce3f66259bbdf72648e9ca32 | [
"MIT"
] | 5 | 2020-11-13T18:46:05.000Z | 2022-02-10T01:16:13.000Z | pianonet/serving/app.py | robgon-art/pianonet | 8d8a827bc8d310b8ce3f66259bbdf72648e9ca32 | [
"MIT"
] | 3 | 2020-09-02T15:05:00.000Z | 2021-05-02T18:04:24.000Z | import os
import random
from flask import Flask, request, send_from_directory
from werkzeug.utils import secure_filename
from pianonet.core.pianoroll import Pianoroll
from pianonet.model_inspection.performance_from_pianoroll import get_performance_from_pianoroll
app = Flask(__name__)
base_path = "/app/"
# base_pat... | 31.685039 | 115 | 0.706511 | 0 | 0 | 0 | 0 | 3,158 | 0.784791 | 0 | 0 | 1,293 | 0.321322 |
e02cef0666c1161f8f7f1e91555b80b350dae71e | 4,965 | py | Python | app.py | rafalbigaj/epidemic-model-visualization | 35829180b5a53697b336e8615d854a21b3395f59 | [
"Apache-2.0"
] | null | null | null | app.py | rafalbigaj/epidemic-model-visualization | 35829180b5a53697b336e8615d854a21b3395f59 | [
"Apache-2.0"
] | null | null | null | app.py | rafalbigaj/epidemic-model-visualization | 35829180b5a53697b336e8615d854a21b3395f59 | [
"Apache-2.0"
] | null | null | null | import dash
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
import plotly.graph_objects as go
from plotly.subplots import make_subplots
import logging
import json
import os
import pandas as pd
from datetime import datetime
from datetime import timedelta
fro... | 34.006849 | 132 | 0.67291 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,525 | 0.30715 |
e02d1d4df9c56883a92d8546af5497c549276afd | 1,106 | py | Python | src/sweetrpg_library_api/application/blueprints/systems/manager.py | paulyhedral/sweetrpg-library-api | 0105e963ef4321398aa66d7cb3aa9c2df1c4f375 | [
"MIT"
] | null | null | null | src/sweetrpg_library_api/application/blueprints/systems/manager.py | paulyhedral/sweetrpg-library-api | 0105e963ef4321398aa66d7cb3aa9c2df1c4f375 | [
"MIT"
] | 33 | 2021-09-18T23:52:05.000Z | 2022-03-30T12:25:49.000Z | src/sweetrpg_library_api/application/blueprints/systems/manager.py | sweetrpg/library-api | 0105e963ef4321398aa66d7cb3aa9c2df1c4f375 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
__author__ = "Paul Schifferer <dm@sweetrpg.com>"
"""
"""
from flask_rest_jsonapi import ResourceList, ResourceDetail, ResourceRelationship
from sweetrpg_library_objects.api.system.schema import SystemAPISchema
from sweetrpg_api_core.data import APIData
from sweetrpg_library_objects.model.syste... | 28.358974 | 106 | 0.683544 | 384 | 0.347197 | 0 | 0 | 0 | 0 | 0 | 0 | 398 | 0.359855 |
e02e416aacee98cfdb91a5328f2267836f5a1229 | 6,862 | py | Python | tests/test_ordering.py | deepio-oc/pabot | ebf1894c6d35b2ddd5c4bca01bceb25189358106 | [
"Apache-2.0"
] | 379 | 2015-02-02T17:47:45.000Z | 2022-03-20T16:51:05.000Z | tests/test_ordering.py | deepio-oc/pabot | ebf1894c6d35b2ddd5c4bca01bceb25189358106 | [
"Apache-2.0"
] | 406 | 2015-02-12T07:41:53.000Z | 2022-03-28T23:35:32.000Z | tests/test_ordering.py | deepio-oc/pabot | ebf1894c6d35b2ddd5c4bca01bceb25189358106 | [
"Apache-2.0"
] | 159 | 2015-01-16T13:42:20.000Z | 2022-03-30T19:48:15.000Z | from robot import __version__ as ROBOT_VERSION
import sys
import tempfile
import textwrap
import unittest
import shutil
import subprocess
class PabotOrderingGroupTest(unittest.TestCase):
def setUp(self):
self.tmpdir = tempfile.mkdtemp()
def tearDown(self):
shutil.rmtree(self.tmpdir)
def ... | 35.189744 | 273 | 0.557418 | 6,721 | 0.979452 | 0 | 0 | 0 | 0 | 0 | 0 | 3,745 | 0.545759 |
e02e814aa08f31a0fd4f302fa151aca0b7af7756 | 984 | py | Python | setup.py | Commonists/pageview-api | 39e8b3c3c82f64a500e3dd4f306451c81c7e31b7 | [
"MIT"
] | 21 | 2015-12-02T12:06:38.000Z | 2022-02-11T16:16:06.000Z | setup.py | Commonists/pageview-api | 39e8b3c3c82f64a500e3dd4f306451c81c7e31b7 | [
"MIT"
] | 3 | 2016-04-19T19:56:25.000Z | 2020-08-27T09:52:42.000Z | setup.py | Commonists/pageview-api | 39e8b3c3c82f64a500e3dd4f306451c81c7e31b7 | [
"MIT"
] | 6 | 2017-10-27T15:39:51.000Z | 2020-12-17T02:11:52.000Z | #!/usr/bin/python
# -*- coding: latin-1 -*-
"""Setup script."""
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
try:
import pageviewapi
version = pageviewapi.__version__
except ImportError:
version = 'Undefined'
classifiers = [
'Development Status :: 4... | 22.883721 | 52 | 0.670732 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 457 | 0.464431 |
e030b341c624d43cef697abc742e82664391c682 | 416 | py | Python | task1b.py | juby-gif/assignment1 | 3d39478fdc371e80a546caac545561145afbb080 | [
"BSD-3-Clause"
] | null | null | null | task1b.py | juby-gif/assignment1 | 3d39478fdc371e80a546caac545561145afbb080 | [
"BSD-3-Clause"
] | null | null | null | task1b.py | juby-gif/assignment1 | 3d39478fdc371e80a546caac545561145afbb080 | [
"BSD-3-Clause"
] | null | null | null | #a2_t1b.py
#This program is to convert Celsius to Kelvin
def c_to_k(c):
k = c + 273.15 #Formula to convert Celsius to Kelvin
return k
def f_to_c(f):
fa = (f-32) * 5/9 #Formula to convert Fareheit to Celsius
return fa
c = 25.0
f = 100.0
k = c_to_k(c)
fa = f_to_c(f)
print("Celsius of " + str(c) + " is... | 24.470588 | 67 | 0.605769 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 198 | 0.475962 |
e0315471bd1a35e31c6a9cdd93a2a2a27365d479 | 2,702 | py | Python | TWLight/emails/views.py | jajodiaraghav/TWLight | 22359ab0b95ee3653e8ffa0eb698acd7bb8ebf70 | [
"MIT"
] | 1 | 2019-10-24T04:49:52.000Z | 2019-10-24T04:49:52.000Z | TWLight/emails/views.py | jajodiaraghav/TWLight | 22359ab0b95ee3653e8ffa0eb698acd7bb8ebf70 | [
"MIT"
] | 1 | 2019-03-29T15:29:45.000Z | 2019-03-29T15:57:20.000Z | TWLight/emails/views.py | jajodiaraghav/TWLight | 22359ab0b95ee3653e8ffa0eb698acd7bb8ebf70 | [
"MIT"
] | 1 | 2019-09-26T14:40:27.000Z | 2019-09-26T14:40:27.000Z | from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.core.exceptions import PermissionDenied
from django.core.urlresolvers import reverse, reverse_lazy
from django.core.mail import BadHeaderError, send_mail
from django.http import HttpResponse, HttpResponseRedirect
f... | 43.580645 | 126 | 0.657661 | 2,086 | 0.772021 | 0 | 0 | 2,133 | 0.789415 | 0 | 0 | 610 | 0.225759 |
e0322ebc94878f3dc7b69955feb764a97d3db29b | 1,997 | py | Python | frontend/config.py | lcbm/cs-data-ingestion | 314525285bfefe726d86c232937b05d273e44e7f | [
"0BSD"
] | null | null | null | frontend/config.py | lcbm/cs-data-ingestion | 314525285bfefe726d86c232937b05d273e44e7f | [
"0BSD"
] | null | null | null | frontend/config.py | lcbm/cs-data-ingestion | 314525285bfefe726d86c232937b05d273e44e7f | [
"0BSD"
] | null | null | null | """Flask App configuration file."""
import logging
import os
import dotenv
import frontend.constants as constants
dotenv.load_dotenv(os.path.join(constants.BASEDIR, "frontend.env"))
class Base:
"""Configuration class used as base for all environments."""
DEBUG = False
TESTING = False
LOGGING_FO... | 21.473118 | 67 | 0.667001 | 937 | 0.469204 | 0 | 0 | 0 | 0 | 0 | 0 | 1,086 | 0.543816 |
e032bc66a6f5b0a211c59ba883502067921d3427 | 2,961 | py | Python | tests/test_dsl.py | goodreferences/ElasticQuery | 579e387c5a7c1cbbeab999050c0d2faa80ded821 | [
"MIT"
] | null | null | null | tests/test_dsl.py | goodreferences/ElasticQuery | 579e387c5a7c1cbbeab999050c0d2faa80ded821 | [
"MIT"
] | null | null | null | tests/test_dsl.py | goodreferences/ElasticQuery | 579e387c5a7c1cbbeab999050c0d2faa80ded821 | [
"MIT"
] | null | null | null | # ElasticQuery
# File: tests/test_dsl.py
# Desc: tests for ElasticQuery DSL objects (Filter, Query, Aggregate)
from os import path
from unittest import TestCase
from jsontest import JsonTest
from elasticquery import Query, Aggregate, Suggester
from elasticquery.exceptions import (
NoQueryError, NoAggregateError,... | 26.675676 | 72 | 0.646066 | 1,801 | 0.60824 | 0 | 0 | 0 | 0 | 0 | 0 | 354 | 0.119554 |
e033806ab7ea22ebae1fd718d44b4fe732b6c01d | 360 | py | Python | models/SelectionGAN/person_transfer/tool/rm_insnorm_running_vars.py | xianjian-xie/pose-generation | ad0495e80c6fe1e7690fa8691f1eb11b4e9bca32 | [
"MIT"
] | 445 | 2019-04-14T17:48:11.000Z | 2022-03-20T11:53:30.000Z | models/SelectionGAN/person_transfer/tool/rm_insnorm_running_vars.py | xianjian-xie/pose-generation | ad0495e80c6fe1e7690fa8691f1eb11b4e9bca32 | [
"MIT"
] | 17 | 2019-06-03T11:34:22.000Z | 2022-02-28T01:26:13.000Z | models/SelectionGAN/person_transfer/tool/rm_insnorm_running_vars.py | xianjian-xie/pose-generation | ad0495e80c6fe1e7690fa8691f1eb11b4e9bca32 | [
"MIT"
] | 71 | 2019-04-16T01:55:39.000Z | 2022-03-22T05:09:59.000Z | import torch
ckp_path = './checkpoints/fashion_PATN/latest_net_netG.pth'
save_path = './checkpoints/fashion_PATN_v1.0/latest_net_netG.pth'
states_dict = torch.load(ckp_path)
states_dict_new = states_dict.copy()
for key in states_dict.keys():
if "running_var" in key or "running_mean" in key:
del states_dict_new[key]... | 32.727273 | 65 | 0.794444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 128 | 0.355556 |
e03555c89ef682c9881524e84b3f99fb40c60411 | 3,916 | py | Python | script/dummy/arm_control.py | amazon-picking-challenge/team_pfn | 2f76524b067d816d8407f6c4fae4e6d33939c024 | [
"Apache-2.0"
] | 7 | 2016-09-04T02:07:04.000Z | 2017-05-25T02:31:07.000Z | script/dummy/arm_control.py | amazon-picking-challenge/team_pfn | 2f76524b067d816d8407f6c4fae4e6d33939c024 | [
"Apache-2.0"
] | null | null | null | script/dummy/arm_control.py | amazon-picking-challenge/team_pfn | 2f76524b067d816d8407f6c4fae4e6d33939c024 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# Copyright 2016 Preferred Networks, 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 the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | 39.959184 | 78 | 0.589122 | 3,064 | 0.782431 | 0 | 0 | 0 | 0 | 0 | 0 | 945 | 0.241318 |
e035deed8737a8c4ccc24d990b915152d4728210 | 3,115 | py | Python | cogs/events.py | rompdodger/RompDodger | 9c8b481d9f69e05c15f01271f6c18e09ab2723e6 | [
"MIT"
] | null | null | null | cogs/events.py | rompdodger/RompDodger | 9c8b481d9f69e05c15f01271f6c18e09ab2723e6 | [
"MIT"
] | null | null | null | cogs/events.py | rompdodger/RompDodger | 9c8b481d9f69e05c15f01271f6c18e09ab2723e6 | [
"MIT"
] | null | null | null | import json
import discord
from utils.time import format_time
from utils import utilities
from discord.ext import commands
from discord import Embed
class Events(commands.Cog):
"""Event Handler for RompDodger"""
def __init__(self, bot):
self.bot = bot
@commands.Cog.listener()
async def on_command_error(self,... | 39.43038 | 163 | 0.733547 | 2,920 | 0.9374 | 0 | 0 | 2,786 | 0.894382 | 2,656 | 0.852648 | 896 | 0.28764 |
e036c8bce2480207e7560bdb8a009054bcbca43d | 1,333 | py | Python | Task/Parallel-calculations/Python/parallel-calculations-2.py | LaudateCorpus1/RosettaCodeData | 9ad63ea473a958506c041077f1d810c0c7c8c18d | [
"Info-ZIP"
] | 1 | 2018-11-09T22:08:38.000Z | 2018-11-09T22:08:38.000Z | Task/Parallel-calculations/Python/parallel-calculations-2.py | seanwallawalla-forks/RosettaCodeData | 9ad63ea473a958506c041077f1d810c0c7c8c18d | [
"Info-ZIP"
] | null | null | null | Task/Parallel-calculations/Python/parallel-calculations-2.py | seanwallawalla-forks/RosettaCodeData | 9ad63ea473a958506c041077f1d810c0c7c8c18d | [
"Info-ZIP"
] | 1 | 2018-11-09T22:08:40.000Z | 2018-11-09T22:08:40.000Z | import multiprocessing
# ========== #Python3 - concurrent
from math import floor, sqrt
numbers = [
112272537195293,
112582718962171,
112272537095293,
115280098190773,
115797840077099,
1099726829285419]
# numbers = [33, 44, 55, 275]
def lowest_factor(n, _start=3):
if n % 2 == 0:
re... | 28.361702 | 84 | 0.650413 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 237 | 0.177794 |
e036f44b7fa0f2862267ed2ae2bb354dffc8bc0b | 260 | py | Python | setup.py | clin366/airpollutionnowcast | f9152583eebc4ad747c8d0510460334a5fb23ff9 | [
"MIT"
] | null | null | null | setup.py | clin366/airpollutionnowcast | f9152583eebc4ad747c8d0510460334a5fb23ff9 | [
"MIT"
] | 9 | 2020-03-24T18:12:45.000Z | 2022-02-10T00:36:57.000Z | setup.py | clin366/airpollutionnowcast | f9152583eebc4ad747c8d0510460334a5fb23ff9 | [
"MIT"
] | null | null | null | from setuptools import find_packages, setup
setup(
name='src',
packages=find_packages(),
version='0.1.0',
description='Project: Nowcasting the air pollution using online search log',
author='Emory University(IR Lab)',
license='MIT',
)
| 23.636364 | 80 | 0.692308 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 106 | 0.407692 |
e037cc498ab758b47d57f427145d459d775fb063 | 339 | py | Python | problems/p0048/s48.py | ahrarmonsur/euler | 4174790637806521a4ea2973abeb76c96c64a782 | [
"MIT"
] | 1 | 2017-12-19T21:18:48.000Z | 2017-12-19T21:18:48.000Z | problems/p0048/s48.py | ahrarmonsur/euler | 4174790637806521a4ea2973abeb76c96c64a782 | [
"MIT"
] | null | null | null | problems/p0048/s48.py | ahrarmonsur/euler | 4174790637806521a4ea2973abeb76c96c64a782 | [
"MIT"
] | null | null | null | """
Project Euler Problem 48
Self powers
Solved by Ahrar Monsur
The series, 1^1 + 2^2 + 3^3 + ... + 10^10 = 10405071317.
Find the last ten digits of the series, 1^1 + 2^2 + 3^3 + ... + 1000^1000.
"""
def main():
max_digits = 1000
sum = 0
for i in range(1, max_digits+1):
sum += i**i
print str(... | 17.842105 | 74 | 0.575221 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 201 | 0.59292 |
e037f80102198e6c3f910c89e80dfa13f614bfb4 | 1,109 | py | Python | BigData/sparkTask/test.py | Rainstyd/rainsty | 9a0d5f46c20faf909c4194f315fb9960652cffc6 | [
"Apache-2.0"
] | 1 | 2020-03-25T01:13:35.000Z | 2020-03-25T01:13:35.000Z | BigData/sparkTask/test.py | Rainstyed/rainsty | f74e0ccaf16d1871c9d1870bd8a7c8a63243fcf5 | [
"Apache-2.0"
] | 1 | 2022-01-06T23:49:21.000Z | 2022-01-06T23:49:21.000Z | BigData/sparkTask/test.py | rainstyd/rainsty | 9a0d5f46c20faf909c4194f315fb9960652cffc6 | [
"Apache-2.0"
] | 1 | 2020-03-20T08:48:36.000Z | 2020-03-20T08:48:36.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
@author: rainsty
@file: test.py
@time: 2020-01-04 18:36:57
@description:
"""
import os
from pyspark.sql import SparkSession
os.environ['JAVA_HOME'] = '/root/jdk'
os.environ['SPARK_HOME'] = '/root/spark'
os.environ['PYTHON_HOME'] = "/root/python"
os.environ['PYSPARK_P... | 24.108696 | 60 | 0.640216 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 486 | 0.438233 |
e03860989956f152e97aacd3a94938522a675b8e | 1,042 | py | Python | esercizi/areaSottesaCompareNumPy.py | gdv/python-alfabetizzazione | d87561222de8a230db11d8529c49cf1702aec326 | [
"MIT"
] | null | null | null | esercizi/areaSottesaCompareNumPy.py | gdv/python-alfabetizzazione | d87561222de8a230db11d8529c49cf1702aec326 | [
"MIT"
] | null | null | null | esercizi/areaSottesaCompareNumPy.py | gdv/python-alfabetizzazione | d87561222de8a230db11d8529c49cf1702aec326 | [
"MIT"
] | 1 | 2019-03-26T11:14:33.000Z | 2019-03-26T11:14:33.000Z | import numpy as np
import timeit
def effe(x):
y = -x * (x - 1.0)
return y
numIntervalli = input('inserire il numero di intervalli in [0.0, 1.0] ')
deltaIntervallo = 1.0 / float(numIntervalli)
print "larghezza intervallo", deltaIntervallo
start = timeit.default_timer()
xIntervalli = []
yIntervalli = []
i =... | 24.809524 | 72 | 0.726488 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 232 | 0.222649 |
e039092d052960d2f6c3a01770cd6d300e7b630a | 8,810 | py | Python | json_codegen/generators/python3_marshmallow/object_generator.py | expobrain/json-schema-codegen | e22b386333c6230e5d6f5984fd947fdd7b947e82 | [
"MIT"
] | 21 | 2018-06-15T16:08:57.000Z | 2022-02-11T16:16:11.000Z | json_codegen/generators/python3_marshmallow/object_generator.py | expobrain/json-schema-codegen | e22b386333c6230e5d6f5984fd947fdd7b947e82 | [
"MIT"
] | 14 | 2018-08-09T18:02:19.000Z | 2022-01-24T18:04:17.000Z | json_codegen/generators/python3_marshmallow/object_generator.py | expobrain/json-schema-codegen | e22b386333c6230e5d6f5984fd947fdd7b947e82 | [
"MIT"
] | 4 | 2018-11-30T18:19:10.000Z | 2021-11-18T04:04:36.000Z | import ast
from json_codegen.generators.python3_marshmallow.utils import Annotations, class_name
class ObjectGenerator(object):
@staticmethod
def _get_property_name(node_assign):
name = node_assign.targets[0]
return name.id
@staticmethod
def _nesting_class(node_assign):
for n... | 34.414063 | 108 | 0.484222 | 8,709 | 0.988536 | 0 | 0 | 8,614 | 0.977753 | 0 | 0 | 1,069 | 0.121339 |
e039c81acd8d1fcb88f92f04b6556a716666da98 | 12,736 | py | Python | testing/regrid/testEsmfGridToMeshRegridCsrv.py | xylar/cdat | 8a5080cb18febfde365efc96147e25f51494a2bf | [
"BSD-3-Clause"
] | 62 | 2018-03-30T15:46:56.000Z | 2021-12-08T23:30:24.000Z | testing/regrid/testEsmfGridToMeshRegridCsrv.py | xylar/cdat | 8a5080cb18febfde365efc96147e25f51494a2bf | [
"BSD-3-Clause"
] | 114 | 2018-03-21T01:12:43.000Z | 2021-07-05T12:29:54.000Z | testing/regrid/testEsmfGridToMeshRegridCsrv.py | CDAT/uvcdat | 5133560c0c049b5c93ee321ba0af494253b44f91 | [
"BSD-3-Clause"
] | 14 | 2018-06-06T02:42:47.000Z | 2021-11-26T03:27:00.000Z | #!/usr/bin/env python
#
# $Id: ESMP_GridToMeshRegridCsrv.py,v 1.5 2012/04/23 23:00:14 rokuingh Exp $
#===============================================================================
# ESMP/examples/ESMP_GridToMeshRegrid.py
#===============================================================================
"""... | 33.515789 | 86 | 0.613693 | 1,513 | 0.118797 | 0 | 0 | 0 | 0 | 0 | 0 | 5,881 | 0.461762 |
e03a335c46211edd43cb24ddb42d950cbfd7fa71 | 1,184 | py | Python | test/mock_module.py | ariffyasri/lale | 326012c3c3dd884fae0093fe0c45596e4f9c0d72 | [
"Apache-2.0"
] | 1 | 2020-04-28T11:27:48.000Z | 2020-04-28T11:27:48.000Z | test/mock_module.py | ariffyasri/lale | 326012c3c3dd884fae0093fe0c45596e4f9c0d72 | [
"Apache-2.0"
] | null | null | null | test/mock_module.py | ariffyasri/lale | 326012c3c3dd884fae0093fe0c45596e4f9c0d72 | [
"Apache-2.0"
] | 1 | 2020-07-30T10:06:23.000Z | 2020-07-30T10:06:23.000Z | # Copyright 2019 IBM 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 writing, ... | 34.823529 | 74 | 0.72973 | 446 | 0.376689 | 0 | 0 | 0 | 0 | 0 | 0 | 724 | 0.611486 |
e03bee15bfc41f500be41ba4168c4029ea4dba20 | 3,770 | py | Python | scripts/beautify.py | lukaschoebel/POTUSgen | 7b88ba63f0ddab199937df909c5af3271a833cf3 | [
"MIT"
] | null | null | null | scripts/beautify.py | lukaschoebel/POTUSgen | 7b88ba63f0ddab199937df909c5af3271a833cf3 | [
"MIT"
] | 5 | 2020-03-25T08:02:45.000Z | 2020-04-08T20:07:42.000Z | scripts/beautify.py | lukaschoebel/POTUSgen | 7b88ba63f0ddab199937df909c5af3271a833cf3 | [
"MIT"
] | null | null | null | import json
import re
import sys
def beautify(name):
''' Loading, filtering and saving the JSON tweet file to a newly generated .txt file
:type: name: String
:rtype: output: .txt
'''
filename = name + '.json'
output_name = name + "_filtered.txt"
with open(filename, "r", encoding="utf-8")... | 33.963964 | 129 | 0.571088 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,190 | 0.579979 |
e03c2a58883f30a7a78a6973c7fd5ce571d96bba | 1,746 | py | Python | result2gaofentype/pkl2txt_ggm.py | G-Naughty/Fine-grained-OBB-Detection | 8c82c4c178f0b6bba077ff9d906a81bf8e04789c | [
"Apache-2.0"
] | 2 | 2022-02-06T07:45:03.000Z | 2022-03-11T14:18:32.000Z | result2gaofentype/pkl2txt_ggm.py | G-Naughty/Fine-grained-OBB-Detection | 8c82c4c178f0b6bba077ff9d906a81bf8e04789c | [
"Apache-2.0"
] | null | null | null | result2gaofentype/pkl2txt_ggm.py | G-Naughty/Fine-grained-OBB-Detection | 8c82c4c178f0b6bba077ff9d906a81bf8e04789c | [
"Apache-2.0"
] | null | null | null | import BboxToolkit as bt
import pickle
import copy
import numpy as np
path1="/home/hnu1/GGM/OBBDetection/work_dir/oriented_obb_contrast_catbalance/dets.pkl"
path2="/home/hnu1/GGM/OBBDetection/data/FaIR1M/test/annfiles/ori_annfile.pkl"#
with open(path2,'rb') as f: #/home/disk/FAIR1M_1000_split/val/annfiles/ori_... | 40.604651 | 95 | 0.512027 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 346 | 0.198167 |
e03e3fafddd8bfe7f29e435a8b1b27b522698dbd | 938 | py | Python | initializer_3d.py | HarperCallahan/taichi_ferrofluid | 6113f6c7d9d9d612b6dadc500cf91b576c2d05ea | [
"MIT"
] | null | null | null | initializer_3d.py | HarperCallahan/taichi_ferrofluid | 6113f6c7d9d9d612b6dadc500cf91b576c2d05ea | [
"MIT"
] | null | null | null | initializer_3d.py | HarperCallahan/taichi_ferrofluid | 6113f6c7d9d9d612b6dadc500cf91b576c2d05ea | [
"MIT"
] | null | null | null | import taichi as ti
import utils
from apic_extension import *
@ti.data_oriented
class Initializer3D: # tmp initializer
def __init__(self, res, x0, y0, z0, x1, y1, z1):
self.res = res
self.x0 = int(res * x0)
self.y0 = int(res * y0)
self.z0 = int(res * z0)
self.x1 = int(res * ... | 31.266667 | 136 | 0.557569 | 855 | 0.911514 | 0 | 0 | 873 | 0.930704 | 0 | 0 | 17 | 0.018124 |
e03ebf0129e76590fab9b3f72a3301cc3f5c22ca | 1,265 | py | Python | copy_block_example.py | MilesCranmer/bifrost_paper | 654408cd7e34e7845cee58100fe459e1422e4859 | [
"MIT"
] | null | null | null | copy_block_example.py | MilesCranmer/bifrost_paper | 654408cd7e34e7845cee58100fe459e1422e4859 | [
"MIT"
] | null | null | null | copy_block_example.py | MilesCranmer/bifrost_paper | 654408cd7e34e7845cee58100fe459e1422e4859 | [
"MIT"
] | null | null | null | from copy import deepcopy
import bifrost as bf
from bifrost.pipeline import TransformBlock
from bifrost.ndarray import copy_array
class CopyBlock(TransformBlock):# $\tikzmark{block-start}$
"""Copy the input ring to output ring"""
def __init__(self, iring, space):
... | 30.853659 | 98 | 0.674308 | 455 | 0.359684 | 0 | 0 | 0 | 0 | 0 | 0 | 351 | 0.27747 |
e0404632a7378b088279de3e94aac11c26a9e183 | 1,540 | py | Python | monasca_persister/conf/influxdb.py | zhangjianweibj/monasca-persister | 0c5d8a7c5553001f2d38227347f482201f92c8e1 | [
"Apache-2.0"
] | null | null | null | monasca_persister/conf/influxdb.py | zhangjianweibj/monasca-persister | 0c5d8a7c5553001f2d38227347f482201f92c8e1 | [
"Apache-2.0"
] | 1 | 2020-03-13T12:30:29.000Z | 2020-03-13T12:38:16.000Z | monasca_persister/conf/influxdb.py | zhangjianweibj/monasca-persister | 0c5d8a7c5553001f2d38227347f482201f92c8e1 | [
"Apache-2.0"
] | null | null | null | # (C) Copyright 2016-2017 Hewlett Packard Enterprise Development LP
# Copyright 2017 FUJITSU LIMITED
#
# 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... | 32.765957 | 69 | 0.653896 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 865 | 0.561688 |
e040676396d83dae688cf225c1f4290cf1100f35 | 192 | py | Python | test_print_json.py | huangsen365/boto3-docker | 42d46ce4433dd037006d6b8d01db3fe444b9d8dd | [
"Apache-2.0"
] | null | null | null | test_print_json.py | huangsen365/boto3-docker | 42d46ce4433dd037006d6b8d01db3fe444b9d8dd | [
"Apache-2.0"
] | null | null | null | test_print_json.py | huangsen365/boto3-docker | 42d46ce4433dd037006d6b8d01db3fe444b9d8dd | [
"Apache-2.0"
] | null | null | null | import json
your_json = '["foo", {"bar":["baz", null, 1.0, 2]}]'
parsed = json.loads(your_json)
print(type(your_json))
print(type(parsed))
#print(json.dumps(parsed, indent=4, sort_keys=True)) | 27.428571 | 52 | 0.6875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 92 | 0.479167 |
e041875337916a4d8560bbab0e0b68edca74373b | 13,929 | py | Python | src/solutions/common/integrations/cirklo/api.py | goubertbrent/oca-backend | b9f59cc02568aecb55d4b54aec05245790ea25fd | [
"Apache-2.0"
] | null | null | null | src/solutions/common/integrations/cirklo/api.py | goubertbrent/oca-backend | b9f59cc02568aecb55d4b54aec05245790ea25fd | [
"Apache-2.0"
] | null | null | null | src/solutions/common/integrations/cirklo/api.py | goubertbrent/oca-backend | b9f59cc02568aecb55d4b54aec05245790ea25fd | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2020 Green Valley Belgium NV
#
# 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... | 42.858462 | 120 | 0.710604 | 0 | 0 | 0 | 0 | 11,286 | 0.810252 | 0 | 0 | 1,523 | 0.10934 |
e042a55525baf01a1dd738c8dd3863fa44f09d50 | 1,624 | py | Python | aplpy/tests/test_grid.py | nbrunett/aplpy | f5d128faf3568adea753d52c11ba43014d25d90a | [
"MIT"
] | null | null | null | aplpy/tests/test_grid.py | nbrunett/aplpy | f5d128faf3568adea753d52c11ba43014d25d90a | [
"MIT"
] | null | null | null | aplpy/tests/test_grid.py | nbrunett/aplpy | f5d128faf3568adea753d52c11ba43014d25d90a | [
"MIT"
] | 1 | 2018-02-26T03:04:19.000Z | 2018-02-26T03:04:19.000Z | import matplotlib
matplotlib.use('Agg')
import numpy as np
from astropy.tests.helper import pytest
from .. import FITSFigure
def test_grid_addremove():
data = np.zeros((16, 16))
f = FITSFigure(data)
f.add_grid()
f.remove_grid()
f.add_grid()
f.close()
def test_grid_showhide():
data = np... | 20.049383 | 39 | 0.618842 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 68 | 0.041872 |
e0435a8bdb5ad3ee4a83d670d6af34fbe9094657 | 12,910 | py | Python | vz.py | ponyatov/vz | f808dd0dca9b6aa7a3e492d2ee0797ab96cd23a1 | [
"MIT"
] | null | null | null | vz.py | ponyatov/vz | f808dd0dca9b6aa7a3e492d2ee0797ab96cd23a1 | [
"MIT"
] | null | null | null | vz.py | ponyatov/vz | f808dd0dca9b6aa7a3e492d2ee0797ab96cd23a1 | [
"MIT"
] | null | null | null | import os, sys
class Object:
## @name constructor
def __init__(self, V):
self.value = V
self.nest = []
def box(self, that):
if isinstance(that, Object): return that
if isinstance(that, str): return S(that)
raise TypeError(['box', type(that), that])
## @name d... | 32.849873 | 96 | 0.449109 | 12,756 | 0.988071 | 0 | 0 | 0 | 0 | 0 | 0 | 3,482 | 0.269713 |
e044775152d95d5fb032af9b89fee05b4ac263fe | 2,630 | py | Python | src/server.py | FlakM/fastai_text_serving | 8262c2c1192c5e11df2e06b494ab9cf88c1dcd2a | [
"Apache-2.0"
] | null | null | null | src/server.py | FlakM/fastai_text_serving | 8262c2c1192c5e11df2e06b494ab9cf88c1dcd2a | [
"Apache-2.0"
] | null | null | null | src/server.py | FlakM/fastai_text_serving | 8262c2c1192c5e11df2e06b494ab9cf88c1dcd2a | [
"Apache-2.0"
] | null | null | null | import asyncio
import logging
import aiohttp
import uvicorn
from fastai.vision import *
from starlette.applications import Starlette
from starlette.middleware.cors import CORSMiddleware
from starlette.responses import JSONResponse
# put your url here here
model_file_url = 'https://www.dropbox.com/s/...?raw=1'
model_f... | 30.941176 | 107 | 0.692776 | 0 | 0 | 0 | 0 | 488 | 0.185551 | 1,349 | 0.512928 | 434 | 0.165019 |
e0448da70febec0759bc638d5a460760c3964480 | 402 | py | Python | tcpserver.py | justforbalance/CSnet | c1e049f63d245c5d464a2d6e9aa7d3daf15bf2b6 | [
"MIT"
] | null | null | null | tcpserver.py | justforbalance/CSnet | c1e049f63d245c5d464a2d6e9aa7d3daf15bf2b6 | [
"MIT"
] | null | null | null | tcpserver.py | justforbalance/CSnet | c1e049f63d245c5d464a2d6e9aa7d3daf15bf2b6 | [
"MIT"
] | null | null | null | from socket import *
serverPort = 12001
serverSocket = socket(AF_INET, SOCK_STREAM)
serverSocket.bind(('', serverPort))
serverSocket.listen(1)
print("the server is ready to receive")
while True:
connectionSocket,addr = serverSocket.accept()
sentence = connectionSocket.recv(1024).decode()
sentence = sentence... | 33.5 | 51 | 0.753731 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 34 | 0.084577 |
e044ab975c816db8531273f338dcef5b52d8c7ce | 1,061 | py | Python | src/geneflow/extend/local_workflow.py | jhphan/geneflow2 | a39ab97e6425ee45584cfc15b5740e94a5bf7512 | [
"Apache-2.0"
] | 7 | 2019-04-11T03:50:51.000Z | 2020-03-27T15:59:04.000Z | src/geneflow/extend/local_workflow.py | jhphan/geneflow2 | a39ab97e6425ee45584cfc15b5740e94a5bf7512 | [
"Apache-2.0"
] | 1 | 2019-05-06T14:18:42.000Z | 2019-05-08T22:06:12.000Z | src/geneflow/extend/local_workflow.py | jhphan/geneflow2 | a39ab97e6425ee45584cfc15b5740e94a5bf7512 | [
"Apache-2.0"
] | 6 | 2019-04-10T20:25:27.000Z | 2021-12-16T15:59:59.000Z | """This module contains the GeneFlow LocalWorkflow class."""
class LocalWorkflow:
"""
A class that represents the Local Workflow objects.
"""
def __init__(
self,
job,
config,
parsed_job_work_uri
):
"""
Instantiate LocalWorkflow class.... | 18.293103 | 60 | 0.524034 | 998 | 0.940622 | 0 | 0 | 0 | 0 | 0 | 0 | 624 | 0.588124 |
e0453a8ff093c7c5f6bb2239656a47c98c50cec7 | 2,849 | py | Python | S12/tensornet/engine/ops/lr_scheduler.py | abishek-raju/EVA4B2 | 189f4062c85d91f43c1381087a9c89ff794e5428 | [
"Apache-2.0"
] | 4 | 2020-06-18T13:07:19.000Z | 2022-01-07T10:51:10.000Z | S12/tensornet/engine/ops/lr_scheduler.py | abishek-raju/EVA4B2 | 189f4062c85d91f43c1381087a9c89ff794e5428 | [
"Apache-2.0"
] | 1 | 2021-07-31T04:34:46.000Z | 2021-08-11T05:55:57.000Z | S12/tensornet/engine/ops/lr_scheduler.py | abishek-raju/EVA4B2 | 189f4062c85d91f43c1381087a9c89ff794e5428 | [
"Apache-2.0"
] | 4 | 2020-08-09T07:10:46.000Z | 2021-01-16T14:57:23.000Z | from torch.optim.lr_scheduler import StepLR, ReduceLROnPlateau, OneCycleLR
def step_lr(optimizer, step_size, gamma=0.1, last_epoch=-1):
"""Create LR step scheduler.
Args:
optimizer (torch.optim): Model optimizer.
step_size (int): Frequency for changing learning rate.
gamma (float): Fa... | 40.7 | 102 | 0.679537 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,082 | 0.730783 |
e045d172e3aa9769db37dd0c8977af6b2b83dca1 | 10,889 | py | Python | armi/reactor/tests/test_zones.py | youngmit/armi | 67688e4e67d2a217dfc7b1ccfa64028c20b57a5b | [
"Apache-2.0"
] | null | null | null | armi/reactor/tests/test_zones.py | youngmit/armi | 67688e4e67d2a217dfc7b1ccfa64028c20b57a5b | [
"Apache-2.0"
] | null | null | null | armi/reactor/tests/test_zones.py | youngmit/armi | 67688e4e67d2a217dfc7b1ccfa64028c20b57a5b | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 TerraPower, 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 agreed to in writi... | 39.740876 | 113 | 0.629718 | 9,671 | 0.888144 | 0 | 0 | 0 | 0 | 0 | 0 | 3,163 | 0.290477 |
e04601e1749bc51e7e5f74ca383f947dc25e7da9 | 562 | py | Python | islam_fitz/survey/migrations/0005_auto_20210712_2132.py | OmarEhab177/Islam_fitz | 6ad0eb21549895a6fe537e8413022b82bc530c57 | [
"MIT"
] | null | null | null | islam_fitz/survey/migrations/0005_auto_20210712_2132.py | OmarEhab177/Islam_fitz | 6ad0eb21549895a6fe537e8413022b82bc530c57 | [
"MIT"
] | 2 | 2022-03-01T12:17:05.000Z | 2022-03-30T12:19:55.000Z | islam_fitz/survey/migrations/0005_auto_20210712_2132.py | OmarEhab177/Islam_fitz | 6ad0eb21549895a6fe537e8413022b82bc530c57 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.12 on 2021-07-12 19:32
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('survey', '0004_lastpage_whatsapp_button'),
]
operations = [
migrations.RemoveField(
model_name='lastpage',
name='wh... | 23.416667 | 61 | 0.592527 | 468 | 0.83274 | 0 | 0 | 0 | 0 | 0 | 0 | 141 | 0.25089 |
e046ccaf1594be44b4bc74501cfe08b79d45a1d7 | 490 | py | Python | Examples/WorkingWithOutlookMSGs/CreateAndSaveOutlookNote.py | Muzammil-khan/Aspose.Email-Python-Dotnet | 04ca3a6f440339f3ddf316218f92d15d66f24e7e | [
"MIT"
] | 5 | 2019-01-28T05:17:12.000Z | 2020-04-14T14:31:34.000Z | Examples/WorkingWithOutlookMSGs/CreateAndSaveOutlookNote.py | Muzammil-khan/Aspose.Email-Python-Dotnet | 04ca3a6f440339f3ddf316218f92d15d66f24e7e | [
"MIT"
] | 1 | 2019-01-28T16:07:26.000Z | 2021-11-25T10:59:52.000Z | Examples/WorkingWithOutlookMSGs/CreateAndSaveOutlookNote.py | Muzammil-khan/Aspose.Email-Python-Dotnet | 04ca3a6f440339f3ddf316218f92d15d66f24e7e | [
"MIT"
] | 6 | 2018-07-16T14:57:34.000Z | 2020-08-30T05:59:52.000Z | import aspose.email.mapi.msg as msg
from aspose.email.mapi import MapiNote, NoteSaveFormat, NoteColor
def run():
dataDir = "Data/"
#ExStart: CreateAndSaveOutlookNote
note3 = MapiNote()
note3.subject = "Blue color note"
note3.body = "This is a blue color note";
note3.color = NoteColor.YELLOW
note3.height = 500
... | 25.789474 | 77 | 0.746939 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 161 | 0.328571 |
e04830a8bb6dffa22a3b7aa461ea3221561a26cd | 6,114 | py | Python | nonebot/internal/adapter/template.py | mobyw/nonebot2 | 36663f1a8a51bd89f4a60110047e73719adcc73d | [
"MIT"
] | null | null | null | nonebot/internal/adapter/template.py | mobyw/nonebot2 | 36663f1a8a51bd89f4a60110047e73719adcc73d | [
"MIT"
] | null | null | null | nonebot/internal/adapter/template.py | mobyw/nonebot2 | 36663f1a8a51bd89f4a60110047e73719adcc73d | [
"MIT"
] | null | null | null | import functools
from string import Formatter
from typing import (
TYPE_CHECKING,
Any,
Set,
Dict,
List,
Type,
Tuple,
Union,
Generic,
Mapping,
TypeVar,
Callable,
Optional,
Sequence,
cast,
overload,
)
if TYPE_CHECKING:
from .message import Message, Mess... | 33.048649 | 85 | 0.56248 | 5,742 | 0.917839 | 0 | 0 | 267 | 0.042679 | 0 | 0 | 1,181 | 0.188779 |