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a66166246703189297b327b36845062d1af73e37 | 29,651 | py | Python | btclib/tests/test_dh.py | giubby84/btclib | 0dd7e4e8ca43451a03b577fd7ec95715a1a21711 | [
"MIT"
] | null | null | null | btclib/tests/test_dh.py | giubby84/btclib | 0dd7e4e8ca43451a03b577fd7ec95715a1a21711 | [
"MIT"
] | null | null | null | btclib/tests/test_dh.py | giubby84/btclib | 0dd7e4e8ca43451a03b577fd7ec95715a1a21711 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (C) 2017-2020 The btclib developers
#
# This file is part of btclib. It is subject to the license terms in the
# LICENSE file found in the top-level directory of this distribution.
#
# No part of btclib including this file, may be copied, modified, propagated,
# or distributed except... | 122.020576 | 455 | 0.868976 |
a661816e5916f0c7a9ee3d97c0dc846186965e97 | 4,728 | py | Python | dni/mlp.py | DingKe/pytorch_workplace | 4bc60a2c3640de522d0b72262667ba70391ba16e | [
"MIT"
] | 184 | 2017-05-23T12:06:08.000Z | 2021-12-21T09:09:51.000Z | dni/mlp.py | Ewenwan/pytorch_workplace | 0ef2e905596a0b0db11b4929564175e6f7ab7423 | [
"MIT"
] | 8 | 2017-08-14T11:40:20.000Z | 2019-01-16T13:14:32.000Z | dni/mlp.py | Ewenwan/pytorch_workplace | 0ef2e905596a0b0db11b4929564175e6f7ab7423 | [
"MIT"
] | 61 | 2017-04-29T09:53:47.000Z | 2021-02-19T02:13:14.000Z | import torch
import torch.nn as nn
import torchvision.datasets as dsets
import torchvision.transforms as transforms
from torch.autograd import Variable
# Hyper Parameters
input_size = 784
hidden_size = 256
dni_size = 1024
num_classes = 10
num_epochs = 50
batch_size = 500
learning_rate = 1e-3
use_cuda = torch.cuda.is... | 28.311377 | 100 | 0.59412 |
a66300393de948ba2295823f544984ec41706a76 | 1,505 | py | Python | dorkbot_extract_dll.py | dyussekeyev/dorkbot-c2-extractor | fad5faa0ff71d4df9fbae95155a046466c294051 | [
"MIT"
] | null | null | null | dorkbot_extract_dll.py | dyussekeyev/dorkbot-c2-extractor | fad5faa0ff71d4df9fbae95155a046466c294051 | [
"MIT"
] | null | null | null | dorkbot_extract_dll.py | dyussekeyev/dorkbot-c2-extractor | fad5faa0ff71d4df9fbae95155a046466c294051 | [
"MIT"
] | null | null | null | import pefile
import base64
from Crypto.Cipher import ARC4
datas = list()
pe = pefile.PE("5C55FC257423ACD1AE6382D88B1EE306.bin")
get_offset(pe.DIRECTORY_ENTRY_RESOURCE)
count = 0
for x in datas:
if not isBase64(x):
exit(1)
decoded = base64.b64decode(x)
size_dll = int.from_bytes(de... | 29.509804 | 88 | 0.613953 |
a66302e7cabfe8760a8aa9340aba6ceda0934422 | 6,884 | py | Python | train-xception.py | jGsch/kaggle-dfdc | c074e4fcc2b88e478f306ddfbba7d7ceafcba7d6 | [
"MIT"
] | 124 | 2020-04-29T01:56:08.000Z | 2022-03-04T12:40:26.000Z | train-xception.py | Yolanda-Wang/Kaggle-DFDC-2nd | 72e94d8b2eb94b3aba5ac4de646b39847ac6fb19 | [
"MIT"
] | 14 | 2020-05-09T07:12:15.000Z | 2022-03-12T00:26:44.000Z | train-xception.py | Yolanda-Wang/Kaggle-DFDC-2nd | 72e94d8b2eb94b3aba5ac4de646b39847ac6fb19 | [
"MIT"
] | 38 | 2020-04-29T03:35:56.000Z | 2022-01-14T15:29:47.000Z | import os
import csv
import shutil
import random
from PIL import Image
import numpy as np
import torch
from torch import nn, optim
from torch.utils.data import Dataset, DataLoader
import xception_conf as config
from model_def import xception
from augmentation_utils import train_transform, val_transform
... | 32.319249 | 80 | 0.534863 |
a66403d16de1416c241fb45625d1702808f5e9a1 | 381 | py | Python | katas/beta/identifying_top_users_and_their_corresponding_purchases.py | the-zebulan/CodeWars | 1eafd1247d60955a5dfb63e4882e8ce86019f43a | [
"MIT"
] | 40 | 2016-03-09T12:26:20.000Z | 2022-03-23T08:44:51.000Z | katas/beta/identifying_top_users_and_their_corresponding_purchases.py | akalynych/CodeWars | 1eafd1247d60955a5dfb63e4882e8ce86019f43a | [
"MIT"
] | null | null | null | katas/beta/identifying_top_users_and_their_corresponding_purchases.py | akalynych/CodeWars | 1eafd1247d60955a5dfb63e4882e8ce86019f43a | [
"MIT"
] | 36 | 2016-11-07T19:59:58.000Z | 2022-03-31T11:18:27.000Z | from collections import Counter
from itertools import chain
| 29.307692 | 79 | 0.64042 |
a6645500bd9415fcb00c5c1063997449655e7a5b | 464 | py | Python | supriya/ugens/LFNoise1.py | deeuu/supriya | 14fcb5316eccb4dafbe498932ceff56e1abb9d27 | [
"MIT"
] | null | null | null | supriya/ugens/LFNoise1.py | deeuu/supriya | 14fcb5316eccb4dafbe498932ceff56e1abb9d27 | [
"MIT"
] | null | null | null | supriya/ugens/LFNoise1.py | deeuu/supriya | 14fcb5316eccb4dafbe498932ceff56e1abb9d27 | [
"MIT"
] | null | null | null | import collections
from supriya import CalculationRate
from supriya.synthdefs import UGen
| 18.56 | 79 | 0.68319 |
a66552cce516414aec7adafc8e30867833d3cf13 | 859 | py | Python | Hackerrank/Max Array Sum/Max Array Sum.py | rahil-1407/Data-Structure-and-Algorithms | ea3eb9849aeb2716ef5812a0b5621a28120b1880 | [
"MIT"
] | 51 | 2021-01-14T04:05:55.000Z | 2022-01-25T11:25:37.000Z | Hackerrank/Max Array Sum/Max Array Sum.py | rahil-1407/Data-Structure-and-Algorithms | ea3eb9849aeb2716ef5812a0b5621a28120b1880 | [
"MIT"
] | 638 | 2020-12-27T18:49:53.000Z | 2021-11-21T05:22:52.000Z | Hackerrank/Max Array Sum/Max Array Sum.py | rahil-1407/Data-Structure-and-Algorithms | ea3eb9849aeb2716ef5812a0b5621a28120b1880 | [
"MIT"
] | 124 | 2021-01-30T06:40:20.000Z | 2021-11-21T15:14:40.000Z | """
Given an array of integers, find the subset of non-adjacent elements with the maximum sum.
Calculate the sum of that subset. It is possible that the maximum sum is , the case when all elements are negative.
"""
| 40.904762 | 115 | 0.649593 |
a6661363f224a1485632726708cd49bda0d4229c | 80 | py | Python | landlab/components/lake_fill/__init__.py | saraahsimon/landlab | 1cf809b685efbccaaa149b5899a600c3ccedf30f | [
"MIT"
] | null | null | null | landlab/components/lake_fill/__init__.py | saraahsimon/landlab | 1cf809b685efbccaaa149b5899a600c3ccedf30f | [
"MIT"
] | null | null | null | landlab/components/lake_fill/__init__.py | saraahsimon/landlab | 1cf809b685efbccaaa149b5899a600c3ccedf30f | [
"MIT"
] | null | null | null | from .lake_fill_barnes import LakeMapperBarnes
__all__ = ["LakeMapperBarnes"]
| 16 | 46 | 0.8125 |
a66938ab29c637408c050d9373a90dc5de5acdf6 | 4,995 | py | Python | corehq/apps/hqadmin/management/commands/static_analysis.py | andyasne/commcare-hq | c59a24e57bdd4d2536493f9ecdcc9906f4ae1b88 | [
"BSD-3-Clause"
] | 471 | 2015-01-10T02:55:01.000Z | 2022-03-29T18:07:18.000Z | corehq/apps/hqadmin/management/commands/static_analysis.py | andyasne/commcare-hq | c59a24e57bdd4d2536493f9ecdcc9906f4ae1b88 | [
"BSD-3-Clause"
] | 14,354 | 2015-01-01T07:38:23.000Z | 2022-03-31T20:55:14.000Z | corehq/apps/hqadmin/management/commands/static_analysis.py | andyasne/commcare-hq | c59a24e57bdd4d2536493f9ecdcc9906f4ae1b88 | [
"BSD-3-Clause"
] | 175 | 2015-01-06T07:16:47.000Z | 2022-03-29T13:27:01.000Z | import os
import re
import subprocess
from collections import Counter
from django.conf import settings
from django.core.management.base import BaseCommand
import datadog
from dimagi.ext.couchdbkit import Document
from corehq.feature_previews import all_previews
from corehq.toggles import all_toggles
| 40.282258 | 112 | 0.614815 |
a66e625e6d85f06cff78fbfdfb9830d9ca9c326c | 3,056 | py | Python | dsample.py | her/dsample | 4fdbda0c7f3334266589ade8de4503b656cd2cdd | [
"MIT"
] | 3 | 2018-04-26T22:53:00.000Z | 2019-04-04T12:20:43.000Z | dsample.py | her/dsample | 4fdbda0c7f3334266589ade8de4503b656cd2cdd | [
"MIT"
] | null | null | null | dsample.py | her/dsample | 4fdbda0c7f3334266589ade8de4503b656cd2cdd | [
"MIT"
] | null | null | null | import argparse
import cv2
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description='downsample image using bicubic interpolation',
)
parser.add_argument(
"filename",
help="input filename to downsample"
)
parser.add_argument(
"-o",
"--outpu... | 22.977444 | 77 | 0.508181 |
a66eed49a3b39d2e0d734ff021df1302bfabe786 | 1,598 | py | Python | tests/test_times.py | Invarato/sort_in_disk_project | 8e725e683999aa6cf9db52711309b6a58099c3e2 | [
"MIT"
] | 3 | 2020-11-12T16:59:04.000Z | 2021-12-03T18:57:27.000Z | tests/test_times.py | Invarato/sort_in_disk_project | 8e725e683999aa6cf9db52711309b6a58099c3e2 | [
"MIT"
] | null | null | null | tests/test_times.py | Invarato/sort_in_disk_project | 8e725e683999aa6cf9db52711309b6a58099c3e2 | [
"MIT"
] | 1 | 2021-04-11T11:21:42.000Z | 2021-04-11T11:21:42.000Z | # -*- coding: utf-8 -*-
#
# @autor: Ramn Invarato Menndez
# @version 1.0
from datetime import datetime
"""
Several tests
"""
count = 20000000
if __name__ == "__main__":
start = datetime.now()
print("[if] start: {}".format(start))
val = True
for _ in range(1, count):
if val:
v =... | 23.850746 | 94 | 0.506258 |
a66ef729e29a7b137d77c4428bb5f454b35d79aa | 330 | py | Python | backend/src/controllers/util/time_util.py | tmdt-buw/gideon-ts | b839672fcc19f13562f6da23e6407fff0b18d3ec | [
"MIT"
] | null | null | null | backend/src/controllers/util/time_util.py | tmdt-buw/gideon-ts | b839672fcc19f13562f6da23e6407fff0b18d3ec | [
"MIT"
] | null | null | null | backend/src/controllers/util/time_util.py | tmdt-buw/gideon-ts | b839672fcc19f13562f6da23e6407fff0b18d3ec | [
"MIT"
] | null | null | null | import datetime
import datetime as dt
import pytz
| 22 | 60 | 0.715152 |
a66ef816916b38aed54eb96c747c5ba0afcaba49 | 668 | py | Python | django_auto_model/tests/utils/test_get_now.py | dipasqualew/django-auto-model | 958063b2df99e95f043b06f6a6df02fe8ccfb5de | [
"MIT"
] | null | null | null | django_auto_model/tests/utils/test_get_now.py | dipasqualew/django-auto-model | 958063b2df99e95f043b06f6a6df02fe8ccfb5de | [
"MIT"
] | 23 | 2020-10-29T07:02:00.000Z | 2021-08-02T06:03:29.000Z | django_auto_model/tests/utils/test_get_now.py | rolafium/Django-AutoModel | 958063b2df99e95f043b06f6a6df02fe8ccfb5de | [
"MIT"
] | null | null | null | """
Tests for snakelize
module: django_auto_model.utils
"""
import datetime
from django_auto_model.utils import get_now
def test_is_datetime():
"""Should be a datetime instance"""
now = get_now()
assert isinstance(now, datetime.datetime)
def test_value_is_close_to_now():
"""Should be close enough to t... | 23.857143 | 68 | 0.703593 |
a66f14c5e01cc8010c14109afa24170d23c38ccd | 2,216 | py | Python | setup.py | cid-chan/vsutil | 513576abd4bb08605f1f91ad32780ba16c7f3fea | [
"MIT"
] | 25 | 2019-03-05T21:43:41.000Z | 2022-03-17T06:18:57.000Z | setup.py | cid-chan/vsutil | 513576abd4bb08605f1f91ad32780ba16c7f3fea | [
"MIT"
] | 42 | 2019-03-05T21:49:45.000Z | 2022-03-04T17:33:21.000Z | setup.py | cid-chan/vsutil | 513576abd4bb08605f1f91ad32780ba16c7f3fea | [
"MIT"
] | 18 | 2019-03-05T20:49:49.000Z | 2022-01-12T14:24:50.000Z | from setuptools import setup, find_packages
from setuptools.command.test import test
from distutils.util import convert_path
# We can't import the submodule normally as that would "run" the main module
# code while the setup script is meant to *build* the module.
# Besides preventing a whole possible mess of issues w... | 33.074627 | 109 | 0.670126 |
a66f5311e18930dba9aee6d5a079e0eb27871fa5 | 482 | py | Python | duffel_api/api/booking/seat_maps.py | duffelhq/duffel-api-python | 583703f34e345ac8fa185ca26441f9168d1b0dac | [
"MIT"
] | 2 | 2022-02-26T22:14:48.000Z | 2022-03-10T10:04:11.000Z | duffel_api/api/booking/seat_maps.py | duffelhq/duffel-api-python | 583703f34e345ac8fa185ca26441f9168d1b0dac | [
"MIT"
] | 29 | 2022-01-04T12:40:54.000Z | 2022-03-31T23:26:54.000Z | duffel_api/api/booking/seat_maps.py | duffelhq/duffel-api-python | 583703f34e345ac8fa185ca26441f9168d1b0dac | [
"MIT"
] | null | null | null | from ...http_client import HttpClient
from ...models import SeatMap
| 28.352941 | 73 | 0.626556 |
a66f853bf9f33f87146ba3858b82466747a4ba7f | 133 | py | Python | nicos_mlz/refsans/setups/elements/alphai.py | jkrueger1/nicos | 5f4ce66c312dedd78995f9d91e8a6e3c891b262b | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 12 | 2019-11-06T15:40:36.000Z | 2022-01-01T16:23:00.000Z | nicos_mlz/refsans/setups/elements/alphai.py | jkrueger1/nicos | 5f4ce66c312dedd78995f9d91e8a6e3c891b262b | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 91 | 2020-08-18T09:20:26.000Z | 2022-02-01T11:07:14.000Z | nicos_mlz/refsans/setups/elements/alphai.py | jkrueger1/nicos | 5f4ce66c312dedd78995f9d91e8a6e3c891b262b | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 6 | 2020-01-11T10:52:30.000Z | 2022-02-25T12:35:23.000Z | description = 'Alphai alias device'
group = 'lowlevel'
devices = dict(
alphai = device('nicos.devices.generic.DeviceAlias'),
)
| 16.625 | 57 | 0.706767 |
a66fb86f66ae53aa1b1feda298a87c0ab06d20d0 | 268 | py | Python | src/core/migrations/0055_merge_20190305_1616.py | metabolism-of-cities/ARCHIVED-metabolism-of-cities-platform-v3 | c754d3b1b401906a21640b8eacb6b724a448b31c | [
"MIT"
] | null | null | null | src/core/migrations/0055_merge_20190305_1616.py | metabolism-of-cities/ARCHIVED-metabolism-of-cities-platform-v3 | c754d3b1b401906a21640b8eacb6b724a448b31c | [
"MIT"
] | null | null | null | src/core/migrations/0055_merge_20190305_1616.py | metabolism-of-cities/ARCHIVED-metabolism-of-cities-platform-v3 | c754d3b1b401906a21640b8eacb6b724a448b31c | [
"MIT"
] | null | null | null | # Generated by Django 2.1.2 on 2019-03-05 16:16
from django.db import migrations
| 17.866667 | 47 | 0.641791 |
a671987b4aec698f200fd1e8f711ebabd9e8fdf6 | 359 | py | Python | afwf_fts_anything/__init__.py | MacHu-GWU/afwf_fts_anything-project | 7050f12f6df9688fd553a5673ab21e10fa571cf2 | [
"MIT"
] | 20 | 2019-01-03T22:31:41.000Z | 2021-10-14T11:32:29.000Z | afwf_fts_anything/__init__.py | MacHu-GWU/afwf_fts_anything-project | 7050f12f6df9688fd553a5673ab21e10fa571cf2 | [
"MIT"
] | 2 | 2019-01-02T21:36:40.000Z | 2020-08-23T18:03:54.000Z | afwf_fts_anything/__init__.py | MacHu-GWU/afwf_fts_anything-project | 7050f12f6df9688fd553a5673ab21e10fa571cf2 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Full text search workflow for Alfred.
"""
from ._version import __version__
__short_description__ = "Full text search workflow for Alfred."
__license__ = "MIT"
__author__ = "Sanhe Hu"
__author_email__ = "husanhe@gmail.com"
__maintainer__ = "Sanhe Hu"
__maintainer_email__ = "husanhe@gmail.... | 22.4375 | 63 | 0.743733 |
a6736259f691ee42e01b77cfe927dab8c82e2223 | 609 | py | Python | users/home_work.py | annadokuchaeva2002/python-home-bot | 662acd3e3998d5c58a034004e0eef9e782d57447 | [
"MIT"
] | null | null | null | users/home_work.py | annadokuchaeva2002/python-home-bot | 662acd3e3998d5c58a034004e0eef9e782d57447 | [
"MIT"
] | null | null | null | users/home_work.py | annadokuchaeva2002/python-home-bot | 662acd3e3998d5c58a034004e0eef9e782d57447 | [
"MIT"
] | null | null | null | from main import dp
from aiogram import types
from aiogram.dispatcher.filters.builtin import Text
| 29 | 107 | 0.758621 |
a674f43bddee54cbea1107c11705b1d7ee339b2f | 583 | py | Python | vcorelib/paths/context.py | vkottler/vcorelib | 97c3b92932d5b2f8c6d9cdca55f34bf167980a21 | [
"MIT"
] | 1 | 2022-03-31T09:26:04.000Z | 2022-03-31T09:26:04.000Z | vcorelib/paths/context.py | vkottler/vcorelib | 97c3b92932d5b2f8c6d9cdca55f34bf167980a21 | [
"MIT"
] | 2 | 2022-03-31T09:35:06.000Z | 2022-03-31T09:38:07.000Z | vcorelib/paths/context.py | vkottler/vcorelib | 97c3b92932d5b2f8c6d9cdca55f34bf167980a21 | [
"MIT"
] | null | null | null | """
A module for context managers related to file-system paths.
"""
# built-in
from contextlib import contextmanager
from os import chdir as _chdir
from pathlib import Path as _Path
from typing import Iterator as _Iterator
# internal
from vcorelib.paths import Pathlike as _Pathlike
from vcorelib.paths import normaliz... | 22.423077 | 68 | 0.728988 |
a675cde92791cd0863858fcb8d5b4afd657a5c32 | 467 | py | Python | tf.py | thuyduongtt/region_based_active_learning | b3653c31a44135b5680949790549799c83a5a18b | [
"MIT"
] | null | null | null | tf.py | thuyduongtt/region_based_active_learning | b3653c31a44135b5680949790549799c83a5a18b | [
"MIT"
] | null | null | null | tf.py | thuyduongtt/region_based_active_learning | b3653c31a44135b5680949790549799c83a5a18b | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
test_tf()
# test_pt()
| 22.238095 | 91 | 0.683084 |
a6763636b40ab2fbbbb4112dcfc5086b9d872c0c | 6,529 | py | Python | smartmirror/authorization.py | not4juu/SmartMirror | 61618bcfdbcc67d7703bb501a31e9e0d247ced90 | [
"MIT"
] | null | null | null | smartmirror/authorization.py | not4juu/SmartMirror | 61618bcfdbcc67d7703bb501a31e9e0d247ced90 | [
"MIT"
] | 6 | 2021-03-18T21:17:37.000Z | 2022-03-11T23:32:24.000Z | smartmirror/authorization.py | not4juu/SmartMirror | 61618bcfdbcc67d7703bb501a31e9e0d247ced90 | [
"MIT"
] | 1 | 2019-08-25T10:01:52.000Z | 2019-08-25T10:01:52.000Z | import cv2
import os
import sys
import pickle
import face_recognition
from threading import Thread
from smartmirror.Logger import Logger
PATH = os.path.dirname(os.path.realpath(__file__))
if sys.platform != 'linux':
PATH = PATH.replace("\\", '/')
"""
Authorization Class
- authorization is based on face r... | 38.405882 | 122 | 0.593506 |
a676ce23d30440ea1040f54ebcc3301013112767 | 7,174 | py | Python | xlsx2html/core.py | waldobeest/xlsx2html | c3bbeade832e23ebed196ca59745f999931d4176 | [
"MIT"
] | null | null | null | xlsx2html/core.py | waldobeest/xlsx2html | c3bbeade832e23ebed196ca59745f999931d4176 | [
"MIT"
] | null | null | null | xlsx2html/core.py | waldobeest/xlsx2html | c3bbeade832e23ebed196ca59745f999931d4176 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import openpyxl
import six
from openpyxl.styles.colors import COLOR_INDEX, aRGB_REGEX
from xlsx2html.format import format_cell
DEFAULT_BORDER_STYLE = {
'style': 'solid',
'width': '1px',
}
BORDER_STYLES = {
'dashDot': None,
'dashDotDot':... | 27.071698 | 107 | 0.550042 |
a677a9d8c7dd81264820a936343f06e0dd8ec3ac | 359 | py | Python | bin/python/filterfasta.py | reid-wagner/proteomics-pipelines | 2214c2ad4c14fabcb50a3c0800e9d383ce73df3d | [
"MIT"
] | 2 | 2018-09-06T14:05:59.000Z | 2022-02-18T10:09:06.000Z | bin/python/filterfasta.py | reid-wagner/proteomics-pipelines | 2214c2ad4c14fabcb50a3c0800e9d383ce73df3d | [
"MIT"
] | 7 | 2018-09-30T00:49:04.000Z | 2022-01-27T07:55:26.000Z | bin/python/filterfasta.py | reid-wagner/proteomics-pipelines | 2214c2ad4c14fabcb50a3c0800e9d383ce73df3d | [
"MIT"
] | 3 | 2019-10-29T12:20:45.000Z | 2021-10-06T14:38:43.000Z | #!/usr/bin/env python
import Bio
from Bio import SeqIO
import sys
filt = []
seqs = list(SeqIO.parse(sys.argv[1],'fasta'))
minlen = int(sys.argv[2])
maxlen = int(sys.argv[3])
output = sys.argv[4]
for rec in seqs:
s = str(rec.seq)
l = len(s)
if ((l >= minlen) and (l <= maxlen)):
filt.append(rec... | 14.36 | 45 | 0.607242 |
a678784dd44b43ad9384b6e430dcd31a811cb096 | 4,898 | py | Python | src/krylov/lsqr.py | nschloe/krylov | 58813233ff732111aa56f7b1d71908fda78080be | [
"MIT"
] | 36 | 2020-06-17T15:51:16.000Z | 2021-12-30T04:33:11.000Z | src/krylov/lsqr.py | nschloe/krylov | 58813233ff732111aa56f7b1d71908fda78080be | [
"MIT"
] | 26 | 2020-08-27T17:38:15.000Z | 2021-11-11T20:00:07.000Z | src/krylov/lsqr.py | nschloe/krylov | 58813233ff732111aa56f7b1d71908fda78080be | [
"MIT"
] | 5 | 2021-05-20T19:47:44.000Z | 2022-01-03T00:20:33.000Z | """
Christopher C. Paige, Michael A. Saunders,
LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares,
ACM Transactions on Mathematical Software,
Volume 8, Issue 1, March 1982, pp 43-71,
<https://doi.org/10.1145/355984.355989>.
<https://web.stanford.edu/group/SOL/software/lsqr/>
<https://petsc.org/rel... | 24.737374 | 88 | 0.521233 |
a67b799a74d0b1d933f25d6547dc5d5f94732f54 | 3,746 | py | Python | 2020/Day 24/main.py | edgorman/advent-of-code | 374fee72dd853c60851231a672498ab2732889cf | [
"MIT"
] | null | null | null | 2020/Day 24/main.py | edgorman/advent-of-code | 374fee72dd853c60851231a672498ab2732889cf | [
"MIT"
] | null | null | null | 2020/Day 24/main.py | edgorman/advent-of-code | 374fee72dd853c60851231a672498ab2732889cf | [
"MIT"
] | null | null | null | import os
import copy
if __name__ == "__main__":
# Get input from txt file
with open(os.getcwd() + '\\2020\\Day 24\\input.txt', 'r') as file_obj:
file_input = file_obj.readlines()
# Clean input
entries = []
for entry in file_input:
index = 0
directions = []
whil... | 31.478992 | 74 | 0.485585 |
a67bd7080832832bfead9a2d81306ef2cac33ab1 | 2,760 | py | Python | zabbix_alarm_script/all.py | ansemz/zabbix-wechat | 870f3676e9ce569eae01656653669b244ef2b180 | [
"Apache-2.0"
] | 81 | 2017-03-19T13:54:44.000Z | 2022-01-13T08:36:44.000Z | zabbix_alarm_script/all.py | tony163/zabbixwechat | d0d187e490ebb2b563a417c450db4fe21e7817ea | [
"Apache-2.0"
] | 2 | 2017-04-12T09:33:07.000Z | 2019-04-24T11:20:54.000Z | zabbix_alarm_script/all.py | tony163/zabbixwechat | d0d187e490ebb2b563a417c450db4fe21e7817ea | [
"Apache-2.0"
] | 42 | 2017-03-19T14:00:39.000Z | 2021-12-26T04:52:38.000Z | #!/usr/bin/python3.4
# coding: utf-8
import urllib.request
import cgi
import cgitb
import sys
import json
import time
import os
import shutil
import logging
import os
import codecs
import re
import logging
import json
import base64
import http.cookiejar
import urllib.request
from urllib import request, parse
from Cryp... | 31.363636 | 88 | 0.697464 |
a67d10f27144999c6093454cdec1812be6142bc6 | 690 | py | Python | greenrocket/aio.py | kr41/GreenRocket | 4ae2658defc56cd567503045077b414d09ec2d6b | [
"BSD-2-Clause"
] | null | null | null | greenrocket/aio.py | kr41/GreenRocket | 4ae2658defc56cd567503045077b414d09ec2d6b | [
"BSD-2-Clause"
] | null | null | null | greenrocket/aio.py | kr41/GreenRocket | 4ae2658defc56cd567503045077b414d09ec2d6b | [
"BSD-2-Clause"
] | null | null | null | import asyncio
| 34.5 | 70 | 0.511594 |
a67f5b2b69195447312a516daafb3c0a5077dd7e | 1,983 | py | Python | src/opera/executor/ansible.py | anzoman/xopera-opera | 0c9712dc6fc6bb2935e6c3e5a75364006b700390 | [
"Apache-2.0"
] | null | null | null | src/opera/executor/ansible.py | anzoman/xopera-opera | 0c9712dc6fc6bb2935e6c3e5a75364006b700390 | [
"Apache-2.0"
] | null | null | null | src/opera/executor/ansible.py | anzoman/xopera-opera | 0c9712dc6fc6bb2935e6c3e5a75364006b700390 | [
"Apache-2.0"
] | null | null | null | import json
import os
import sys
import tempfile
import yaml
from . import utils
| 29.597015 | 78 | 0.550177 |
a680ef9a14d7459d55ed4ce401528c8fd443a196 | 1,261 | py | Python | e2e/test_ghprb_log_configure_page.py | svic/jenkins-configuration | 87eb90ba4adcf25f0b779f1277bbeff0e6b3525b | [
"Apache-2.0"
] | null | null | null | e2e/test_ghprb_log_configure_page.py | svic/jenkins-configuration | 87eb90ba4adcf25f0b779f1277bbeff0e6b3525b | [
"Apache-2.0"
] | null | null | null | e2e/test_ghprb_log_configure_page.py | svic/jenkins-configuration | 87eb90ba4adcf25f0b779f1277bbeff0e6b3525b | [
"Apache-2.0"
] | null | null | null | import unittest
import yaml
import os
from bok_choy.web_app_test import WebAppTest
from pages.ghprb_log_configure_page import GhprbLogConfigurePage
| 38.212121 | 106 | 0.681205 |
a6815c7893a0d94c3e1ad438c9c59e228b6c752c | 522 | py | Python | InquirerPy/prompts/__init__.py | jfilipedias/InquirerPy | 9f67125f808cbe6a73ab3cb652f35faba3f3443e | [
"MIT"
] | null | null | null | InquirerPy/prompts/__init__.py | jfilipedias/InquirerPy | 9f67125f808cbe6a73ab3cb652f35faba3f3443e | [
"MIT"
] | null | null | null | InquirerPy/prompts/__init__.py | jfilipedias/InquirerPy | 9f67125f808cbe6a73ab3cb652f35faba3f3443e | [
"MIT"
] | null | null | null | """Module contains import of all prompts classes."""
from InquirerPy.prompts.checkbox import CheckboxPrompt
from InquirerPy.prompts.confirm import ConfirmPrompt
from InquirerPy.prompts.expand import ExpandPrompt
from InquirerPy.prompts.filepath import FilePathPrompt
from InquirerPy.prompts.fuzzy.fuzzy import FuzzyPromp... | 47.454545 | 54 | 0.867816 |
a68185697f357240b61f536aa08af6593cfde478 | 2,357 | py | Python | MMMaker/core/highlight_extractor.py | C4Ution/MMMaker | 7e64b50abb2257c02618d5a5b3323a1e2993fe8a | [
"MIT"
] | 9 | 2020-05-23T04:50:18.000Z | 2020-12-19T05:16:39.000Z | MMMaker/core/highlight_extractor.py | C4Ution/MMMaker | 7e64b50abb2257c02618d5a5b3323a1e2993fe8a | [
"MIT"
] | 13 | 2020-05-23T12:01:08.000Z | 2022-02-10T10:31:18.000Z | MMMaker/core/highlight_extractor.py | C4Ution/MMMaker | 7e64b50abb2257c02618d5a5b3323a1e2993fe8a | [
"MIT"
] | 5 | 2020-07-02T11:44:56.000Z | 2021-07-10T03:19:17.000Z | import numpy as np
import scipy.io.wavfile as wave
from moviepy.editor import VideoFileClip
from scipy.fftpack import fft
from misc import get_random_name
HIGHLIGHT_LENGTH = 0.65
def extract_highlights(file_paths):
"""
:param file_paths:
:return:
"""
max_highlights = []
min_highligh... | 35.712121 | 130 | 0.686042 |
a682e0a43b3f440fa929e4b88ed44df23b27afe0 | 1,755 | py | Python | fafdata/fetch.py | yaniv-aknin/fafscrape | bd1beb61241ef28edc57c9b656dd039f58c4dcf1 | [
"MIT"
] | null | null | null | fafdata/fetch.py | yaniv-aknin/fafscrape | bd1beb61241ef28edc57c9b656dd039f58c4dcf1 | [
"MIT"
] | 23 | 2022-03-12T11:51:46.000Z | 2022-03-19T19:32:52.000Z | fafdata/fetch.py | yaniv-aknin/fafscrape | bd1beb61241ef28edc57c9b656dd039f58c4dcf1 | [
"MIT"
] | null | null | null | import json
import datetime
import requests
import urlobject
from .utils import format_faf_date
API_BASE = urlobject.URLObject('https://api.faforever.com')
ENTITY_TYPE_TO_DEFAULT_DATE_FIELD = {
'game': 'startTime',
'player': 'createTime',
'map': 'createTime',
'mapVersion': 'createTime',
}
| 35.1 | 138 | 0.698575 |
a68431761d9755f8a2a08a35a6e7019caa2ea98e | 2,395 | py | Python | main.py | sschr15/tldr-discord | 4119a643b9b5f5fa48bf01b6032dad4072c6faaa | [
"MIT"
] | 2 | 2020-10-21T17:09:23.000Z | 2021-05-02T13:42:20.000Z | main.py | sschr15/tldr-discord | 4119a643b9b5f5fa48bf01b6032dad4072c6faaa | [
"MIT"
] | null | null | null | main.py | sschr15/tldr-discord | 4119a643b9b5f5fa48bf01b6032dad4072c6faaa | [
"MIT"
] | 1 | 2020-10-21T17:09:28.000Z | 2020-10-21T17:09:28.000Z | import discord
import os
import sys
import datetime
import glob
import tldr
# noinspection SpellCheckingInspection
token: str = "revoked, accidentally made public"
# If you want a custom language, input the language as shown in the tldr pages here.
language = ""
# noinspection PyMethodMayBeStatic
if __name__ == ... | 34.710145 | 149 | 0.534864 |
a6844d436f3ac8eae3409198b262402806d0a4c7 | 1,022 | py | Python | class3/exercises/exercise3/exercise3.py | EndlessDynamics/Fork_nornir_course | 04bf7e3819659f481a4e04059152877b795177b2 | [
"Apache-2.0"
] | null | null | null | class3/exercises/exercise3/exercise3.py | EndlessDynamics/Fork_nornir_course | 04bf7e3819659f481a4e04059152877b795177b2 | [
"Apache-2.0"
] | null | null | null | class3/exercises/exercise3/exercise3.py | EndlessDynamics/Fork_nornir_course | 04bf7e3819659f481a4e04059152877b795177b2 | [
"Apache-2.0"
] | null | null | null | from nornir import InitNornir
from nornir.core.filter import F
if __name__ == "__main__":
main()
| 25.55 | 76 | 0.620352 |
a6847afb9f867644d48e0218625f0dd5bd6e0330 | 13,700 | py | Python | deprecated/version1/utility.py | kpimparkar/cloudmesh-cloud | cb5ec6c2c8e5eb8c41a697cb67e72183808adb64 | [
"Apache-2.0"
] | null | null | null | deprecated/version1/utility.py | kpimparkar/cloudmesh-cloud | cb5ec6c2c8e5eb8c41a697cb67e72183808adb64 | [
"Apache-2.0"
] | 1 | 2020-10-21T18:15:46.000Z | 2020-10-21T18:15:46.000Z | deprecated/version1/utility.py | kpimparkar/cloudmesh-cloud | cb5ec6c2c8e5eb8c41a697cb67e72183808adb64 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Sep 23 19:15:04 2018
@author: yuluo
"""
import subprocess
| 45.51495 | 118 | 0.564161 |
a68504f4c7d13cc8c0e0489a51095d8397a4bb6d | 1,370 | gyp | Python | binding.gyp | Ciccio99/electron-overlay-window | f25e29ec1ffe8f4ccb942051a986d217fb36a2b8 | [
"MIT"
] | null | null | null | binding.gyp | Ciccio99/electron-overlay-window | f25e29ec1ffe8f4ccb942051a986d217fb36a2b8 | [
"MIT"
] | null | null | null | binding.gyp | Ciccio99/electron-overlay-window | f25e29ec1ffe8f4ccb942051a986d217fb36a2b8 | [
"MIT"
] | null | null | null | {
'targets': [
{
'target_name': 'overlay_window',
'sources': [
'src/lib/addon.c',
'src/lib/napi_helpers.c'
],
'include_dirs': [
'src/lib'
],
'conditions': [
['OS=="win"', {
'defines': [
'WIN32_LEAN_AND_MEAN'
],
... | 22.459016 | 80 | 0.350365 |
a685b99254f1096694c40e8467f047e4febef123 | 5,714 | py | Python | aserializer/fields/serializer_fields.py | orderbird/aserializer | 3aeaa073f2dac7830458a1f45ffa9af6540bd315 | [
"MIT"
] | null | null | null | aserializer/fields/serializer_fields.py | orderbird/aserializer | 3aeaa073f2dac7830458a1f45ffa9af6540bd315 | [
"MIT"
] | null | null | null | aserializer/fields/serializer_fields.py | orderbird/aserializer | 3aeaa073f2dac7830458a1f45ffa9af6540bd315 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from collections import Iterable
from aserializer.utils import py2to3, registry
from aserializer.fields.fields import BaseSerializerField, SerializerFieldValueError
| 36.628205 | 129 | 0.593455 |
a6891d269483be6ec34924e0b2a724eb2aa0420b | 29,297 | py | Python | autotest/ogr/ogr_gpkg.py | NathanW2/gdal | a5fc0fa500765f484b497d23ec5459176837e422 | [
"MIT"
] | 2 | 2015-07-24T16:16:34.000Z | 2015-07-24T16:16:37.000Z | autotest/ogr/ogr_gpkg.py | samalone/gdal-ios | beed159503ce550c4e09edb25c168c8344e8998c | [
"MIT"
] | null | null | null | autotest/ogr/ogr_gpkg.py | samalone/gdal-ios | beed159503ce550c4e09edb25c168c8344e8998c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
###############################################################################
# $Id$
#
# Project: GDAL/OGR Test Suite
# Purpose: Test GeoPackage driver functionality.
# Author: Paul Ramsey <pramsey@boundlessgeom.com>
#
################################################... | 34.225467 | 176 | 0.617708 |
a689a5d6a9c1f320fa1c6a898b3f880278371c7b | 769 | py | Python | directory/models/directory_access_group.py | darkismus/kompassi | 35dea2c7af2857a69cae5c5982b48f01ba56da1f | [
"CC-BY-3.0"
] | 13 | 2015-11-29T12:19:12.000Z | 2021-02-21T15:42:11.000Z | directory/models/directory_access_group.py | darkismus/kompassi | 35dea2c7af2857a69cae5c5982b48f01ba56da1f | [
"CC-BY-3.0"
] | 23 | 2015-04-29T19:43:34.000Z | 2021-02-10T05:50:17.000Z | directory/models/directory_access_group.py | darkismus/kompassi | 35dea2c7af2857a69cae5c5982b48f01ba56da1f | [
"CC-BY-3.0"
] | 11 | 2015-09-20T18:59:00.000Z | 2020-02-07T08:47:34.000Z | from django.db import models
from django.utils.translation import ugettext_lazy as _
| 34.954545 | 83 | 0.73212 |
a68a59e9017053930697ebb496bf811bd8da3fd6 | 3,219 | py | Python | @utils/parser/templating/technology.py | RogulinSV/stellaris-aoe | 120d9114059b5e744c4025966e1f4b50e1d76200 | [
"Unlicense"
] | null | null | null | @utils/parser/templating/technology.py | RogulinSV/stellaris-aoe | 120d9114059b5e744c4025966e1f4b50e1d76200 | [
"Unlicense"
] | null | null | null | @utils/parser/templating/technology.py | RogulinSV/stellaris-aoe | 120d9114059b5e744c4025966e1f4b50e1d76200 | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import logging
from string import Template
from domains import Module, Technology
| 35.373626 | 121 | 0.622864 |
a68c2fae55a4172bd6d6344ce187492035975eee | 1,263 | py | Python | app/analyzers/indicators/sar.py | r15ch13/crypto-signal | d423681223124278a3942cf2e930aafe5b84a855 | [
"MIT"
] | 4 | 2021-03-03T16:39:59.000Z | 2021-08-28T21:05:34.000Z | app/analyzers/indicators/sar.py | r15ch13/crypto-signal | d423681223124278a3942cf2e930aafe5b84a855 | [
"MIT"
] | 1 | 2021-05-10T16:11:48.000Z | 2021-05-10T16:11:48.000Z | app/analyzers/indicators/sar.py | r15ch13/crypto-signal | d423681223124278a3942cf2e930aafe5b84a855 | [
"MIT"
] | 6 | 2019-03-07T10:58:45.000Z | 2021-05-08T22:18:01.000Z | """ MACD Indicator
"""
import math
import pandas
from talib import abstract
from analyzers.utils import IndicatorUtils
| 33.236842 | 97 | 0.648456 |
a68cf49a12bc62a074851902de8ab970dee1d0f4 | 376 | py | Python | tests/protocol/primary/a.py | gufolabs/gufo_loader | ffb4e17b2e8f36d938a145d50b7bd27d976f9fce | [
"BSD-3-Clause"
] | 4 | 2022-03-04T07:49:18.000Z | 2022-03-08T07:57:05.000Z | tests/protocol/primary/a.py | gufolabs/gufo_loader | ffb4e17b2e8f36d938a145d50b7bd27d976f9fce | [
"BSD-3-Clause"
] | null | null | null | tests/protocol/primary/a.py | gufolabs/gufo_loader | ffb4e17b2e8f36d938a145d50b7bd27d976f9fce | [
"BSD-3-Clause"
] | 1 | 2022-03-08T07:57:07.000Z | 2022-03-08T07:57:07.000Z | # ---------------------------------------------------------------------
# Gufo Labs Loader:
# a plugin
# ---------------------------------------------------------------------
# Copyright (C) 2022, Gufo Labs
# ---------------------------------------------------------------------
| 26.857143 | 71 | 0.260638 |
a68d575600de2c24556e7348001ad2a913abac90 | 1,178 | py | Python | tools/csv2kml.py | platypii/BASElineFlightComputer | 7881febb680b32c88c7331563e6b4ed15db9a433 | [
"MIT"
] | 22 | 2016-06-28T15:18:25.000Z | 2022-03-20T01:44:13.000Z | tools/csv2kml.py | Probot9/BASElineFlightComputer | cd449d32887e82d8a187586894cbd1a44c5b668a | [
"MIT"
] | 5 | 2018-04-30T00:54:03.000Z | 2020-01-30T18:11:45.000Z | tools/csv2kml.py | Probot9/BASElineFlightComputer | cd449d32887e82d8a187586894cbd1a44c5b668a | [
"MIT"
] | 5 | 2015-05-27T03:26:49.000Z | 2021-12-11T05:49:33.000Z | #!/usr/bin/python
import sys
if len(sys.argv) != 2:
print 'Usage: csv2kml input.csv'
exit()
kml_header = """<?xml version=\"1.0\" encoding=\"UTF-8\"?>
<kml xmlns=\"http://www.opengis.net/kml/2.2\" xmlns:gx=\"http://www.google.com/kml/ext/2.2\" xmlns:kml=\"http://www.opengis.net/kml/2.2\" xmlns:atom=\"http://www.w3... | 21.418182 | 181 | 0.565365 |
a6932bb49ce1656029b076c4c5e5b86a4e1586b2 | 1,741 | py | Python | scripts/artifacts/installedappsGass.py | Krypterry/ALEAPP | 970b2e62742603336fe791b7c02e12e1f1e77375 | [
"MIT"
] | 187 | 2020-02-22T23:35:32.000Z | 2022-03-31T13:46:24.000Z | scripts/artifacts/installedappsGass.py | Krypterry/ALEAPP | 970b2e62742603336fe791b7c02e12e1f1e77375 | [
"MIT"
] | 65 | 2020-02-25T18:22:47.000Z | 2022-03-27T21:41:21.000Z | scripts/artifacts/installedappsGass.py | Krypterry/ALEAPP | 970b2e62742603336fe791b7c02e12e1f1e77375 | [
"MIT"
] | 47 | 2020-02-24T22:33:35.000Z | 2022-03-11T05:19:42.000Z | import sqlite3
from scripts.artifact_report import ArtifactHtmlReport
from scripts.ilapfuncs import logfunc, tsv, open_sqlite_db_readonly
| 37.847826 | 136 | 0.546238 |
a6932f9707d279d372f18d0e6ea0ae4bd2d7bb9b | 3,494 | py | Python | 6_google_trace/VMFuzzyPrediction/estimators/GAEstimator.py | nguyenthieu95/machine_learning | 40595a003815445a7a9fef7e8925f71d19f8fa30 | [
"MIT"
] | 1 | 2017-12-30T20:10:07.000Z | 2017-12-30T20:10:07.000Z | 6_google_trace/VMFuzzyPrediction/estimators/GAEstimator.py | ThieuNv/machine_learning | 40595a003815445a7a9fef7e8925f71d19f8fa30 | [
"MIT"
] | null | null | null | 6_google_trace/VMFuzzyPrediction/estimators/GAEstimator.py | ThieuNv/machine_learning | 40595a003815445a7a9fef7e8925f71d19f8fa30 | [
"MIT"
] | 1 | 2019-12-23T15:30:16.000Z | 2019-12-23T15:30:16.000Z | # from lasagne.nonlinearities import sigmoid
from pyevolve import Crossovers
from pyevolve import G1DList
from pyevolve import GSimpleGA
from pyevolve import Initializators, Mutators
from pyevolve import Selectors
from sklearn.base import BaseEstimator
from sklearn.metrics import mean_squared_error
from FeedFlow import... | 42.609756 | 101 | 0.670864 |
a69449e89ea900074212b71558e97b166df355bd | 1,388 | py | Python | skassist-docs/python/doc_definitions.py | radmerti/scikit-assist | 6ecd58608632c2ef8b52f6f71fd3695db522e22e | [
"BSD-2-Clause"
] | null | null | null | skassist-docs/python/doc_definitions.py | radmerti/scikit-assist | 6ecd58608632c2ef8b52f6f71fd3695db522e22e | [
"BSD-2-Clause"
] | null | null | null | skassist-docs/python/doc_definitions.py | radmerti/scikit-assist | 6ecd58608632c2ef8b52f6f71fd3695db522e22e | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# ______________________________________________________________________________
def boolean_func(experiment):
"""Function that returns True when an experiment matches and False otherwise.
Args:
experiment (:class:`~skassist.Experiment`): Experiment that is to be tested.
... | 42.060606 | 84 | 0.701009 |
a69483b15fce7657ead4227c986e5b9e8717d867 | 3,327 | py | Python | CyTrack/sendData.py | M2I-HABET/ahac2020workshop | 7ebc6e2ba3bf10ef18881e96523adc5d54f8d62e | [
"MIT"
] | null | null | null | CyTrack/sendData.py | M2I-HABET/ahac2020workshop | 7ebc6e2ba3bf10ef18881e96523adc5d54f8d62e | [
"MIT"
] | null | null | null | CyTrack/sendData.py | M2I-HABET/ahac2020workshop | 7ebc6e2ba3bf10ef18881e96523adc5d54f8d62e | [
"MIT"
] | null | null | null | import rot2proG
import serial
import math
import time
import requests
from queue import Queue
from threading import Thread
if __name__ == "__main__":
MainLoop() | 33.606061 | 146 | 0.471596 |
a69566d00c0403a5c7929fe88c805f00d3a9a9e2 | 587 | py | Python | examples/rf_tmd_example.py | eltonfss/TMDLibrary | 2eaca21d61ae4d012435c2dc8b65be0b62a2afd3 | [
"MIT"
] | null | null | null | examples/rf_tmd_example.py | eltonfss/TMDLibrary | 2eaca21d61ae4d012435c2dc8b65be0b62a2afd3 | [
"MIT"
] | null | null | null | examples/rf_tmd_example.py | eltonfss/TMDLibrary | 2eaca21d61ae4d012435c2dc8b65be0b62a2afd3 | [
"MIT"
] | null | null | null | from examples.util import get_tmd_dataset
from detectors.rf_tmd import RandomForestTMD
from sklearn.metrics import accuracy_score
if __name__ == '__main__':
# load dataset
df = get_tmd_dataset()
travel_mode_column = 'target'
# train model
rf_tmd = RandomForestTMD()
rf_tmd.fit(
data_fr... | 26.681818 | 78 | 0.729131 |
a695aa6f1ab93783e6c03d418b1565d4a3c0d64d | 2,696 | py | Python | cli.py | hiway/adventofcode | c4b3e94ad2bc967bc684a10ddc90541d6e1657fc | [
"MIT"
] | null | null | null | cli.py | hiway/adventofcode | c4b3e94ad2bc967bc684a10ddc90541d6e1657fc | [
"MIT"
] | null | null | null | cli.py | hiway/adventofcode | c4b3e94ad2bc967bc684a10ddc90541d6e1657fc | [
"MIT"
] | null | null | null | import click
import collections
| 23.241379 | 91 | 0.709941 |
a696f0c13d70451610aab5bd60cb7ae4a08f0d3c | 671 | py | Python | tflowModel/pb2uff.py | moennen/sceneIllEst | c02358e43016c3b44059554c4e202e922656be89 | [
"Apache-2.0"
] | 3 | 2019-03-04T09:52:29.000Z | 2019-06-17T07:02:49.000Z | tflowModel/pb2uff.py | moennen/sceneIllEst | c02358e43016c3b44059554c4e202e922656be89 | [
"Apache-2.0"
] | null | null | null | tflowModel/pb2uff.py | moennen/sceneIllEst | c02358e43016c3b44059554c4e202e922656be89 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
""" Tensorflow Frozen PB model to UFF
"""
import argparse
import tensorflow as tf
import uff
if __name__ == "__main__":
#------------------------------------------------------------------------------------------------
parser = argparse.ArgumentParser()
parser.add_argument("inModelPath")... | 29.173913 | 101 | 0.61997 |
a69723490e88c379953ed361d981759344135792 | 4,219 | py | Python | jigu/core/proposal/__init__.py | bongtrop/jigu | 448bce8ce693f3f7c530bea0f2f268e22100937a | [
"MIT"
] | 14 | 2020-03-03T06:46:39.000Z | 2021-05-01T15:29:35.000Z | jigu/core/proposal/__init__.py | bongtrop/jigu | 448bce8ce693f3f7c530bea0f2f268e22100937a | [
"MIT"
] | 9 | 2020-03-09T06:36:30.000Z | 2021-02-15T14:40:48.000Z | jigu/core/proposal/__init__.py | bongtrop/jigu | 448bce8ce693f3f7c530bea0f2f268e22100937a | [
"MIT"
] | 5 | 2020-05-30T22:38:34.000Z | 2021-02-11T00:56:20.000Z | from __future__ import annotations
import abc
from dataclasses import dataclass
from typing import Any, Dict, Type
from jigu.core import Coin, Coins, Timestamp
from jigu.core.denoms import uLuna
from jigu.util.serdes import JiguBox, JsonDeserializable, JsonSerializable
from jigu.util.validation import Schemas as S
_... | 30.79562 | 85 | 0.670775 |
a6975cc67cf3d1ce0bf1918a4452973ed9a1cb9b | 952 | py | Python | interview/amazon/utilization-checks.py | Zhenye-Na/leetcode | 95196a45f5709ccf7b970ee5ac84a4bf8fe2301e | [
"MIT"
] | 10 | 2019-09-15T00:23:57.000Z | 2022-01-05T12:53:42.000Z | interview/amazon/utilization-checks.py | Zhenye-Na/leetcode | 95196a45f5709ccf7b970ee5ac84a4bf8fe2301e | [
"MIT"
] | 3 | 2021-06-30T00:39:26.000Z | 2021-08-01T07:13:59.000Z | interview/amazon/utilization-checks.py | Zhenye-Na/leetcode | 95196a45f5709ccf7b970ee5ac84a4bf8fe2301e | [
"MIT"
] | 6 | 2020-02-08T02:55:22.000Z | 2022-01-02T22:48:18.000Z | # Utilization Checks
# https://aonecode.com/amazon-online-assessment-utilization-checks
import math
uc = UtilizationChecks()
uc.solve(2, [25, 23, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 76, 80])
uc.solve(3, [5, 10, 80])
uc.solve(5, [30, 5, 4, 8, 19, 89])
| 23.219512 | 66 | 0.456933 |
a6983bd2dae45fdbaac009e69a080431f0e315a5 | 522 | py | Python | code/bot/mapping-bringup/launch/slam_launch.py | jacobwaller/beer-bot | 60d89bee2029d87a870940081bd6ab93d05c4eca | [
"MIT"
] | null | null | null | code/bot/mapping-bringup/launch/slam_launch.py | jacobwaller/beer-bot | 60d89bee2029d87a870940081bd6ab93d05c4eca | [
"MIT"
] | null | null | null | code/bot/mapping-bringup/launch/slam_launch.py | jacobwaller/beer-bot | 60d89bee2029d87a870940081bd6ab93d05c4eca | [
"MIT"
] | null | null | null | from launch import LaunchDescription
import launch_ros.actions
from ament_index_python.packages import get_package_share_directory
| 30.705882 | 95 | 0.683908 |
a6987b7f5d13e03773ebbfeb594e4576981e0f1d | 72 | py | Python | Python/Matts_Lessons/comments.py | Josh-Luedke/Vision-Notes | 544e9ef53dbf34e19af5144012b90bfa19012c16 | [
"MIT"
] | null | null | null | Python/Matts_Lessons/comments.py | Josh-Luedke/Vision-Notes | 544e9ef53dbf34e19af5144012b90bfa19012c16 | [
"MIT"
] | null | null | null | Python/Matts_Lessons/comments.py | Josh-Luedke/Vision-Notes | 544e9ef53dbf34e19af5144012b90bfa19012c16 | [
"MIT"
] | null | null | null | # Here is something that I am typing
# print("I am printing something") | 36 | 37 | 0.736111 |
a698ed363c72fb8db096b455d881f891dde49eb2 | 6,282 | py | Python | src/src/graph_environments.py | aka-cs/ia-sim-cmp | fa26f3d961a992698ca08f4213d6eae39f3ec039 | [
"MIT"
] | null | null | null | src/src/graph_environments.py | aka-cs/ia-sim-cmp | fa26f3d961a992698ca08f4213d6eae39f3ec039 | [
"MIT"
] | null | null | null | src/src/graph_environments.py | aka-cs/ia-sim-cmp | fa26f3d961a992698ca08f4213d6eae39f3ec039 | [
"MIT"
] | null | null | null | from __future__ import annotations
from .base_classes import Event, SetEvent, DeleteEvent, GenerateEvent, MapObject, Agent, Position, Generator, \
Environment
| 40.269231 | 115 | 0.639128 |
a69907bb61f411a2c1211e81e8529c57659a934d | 3,003 | py | Python | jsk_arc2017_common/node_scripts/candidates_publisher.py | pazeshun/jsk_apc | 0ff42000ad5992f8a31e719a5360a39cf4fa1fde | [
"BSD-3-Clause"
] | null | null | null | jsk_arc2017_common/node_scripts/candidates_publisher.py | pazeshun/jsk_apc | 0ff42000ad5992f8a31e719a5360a39cf4fa1fde | [
"BSD-3-Clause"
] | 2 | 2019-04-11T05:36:23.000Z | 2019-08-19T12:58:10.000Z | jsk_arc2017_common/node_scripts/candidates_publisher.py | pazeshun/jsk_apc | 0ff42000ad5992f8a31e719a5360a39cf4fa1fde | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
import dynamic_reconfigure.server
from jsk_topic_tools import ConnectionBasedTransport
import json
import os.path as osp
import rospy
from std_msgs.msg import String
from jsk_arc2017_common.cfg import CandidatesPublisherConfig
from jsk_recognition_msgs.msg import Label
from jsk_recognition_msgs.... | 34.918605 | 74 | 0.615718 |
a699cfaf6878aec2d41bc0a3750f8c53d818736b | 638 | py | Python | award/migrations/0002_auto_20190701_0754.py | maurinesinami/awards | 0f8e390a41a0c462cdb2104797daa4b59c986656 | [
"MIT"
] | null | null | null | award/migrations/0002_auto_20190701_0754.py | maurinesinami/awards | 0f8e390a41a0c462cdb2104797daa4b59c986656 | [
"MIT"
] | null | null | null | award/migrations/0002_auto_20190701_0754.py | maurinesinami/awards | 0f8e390a41a0c462cdb2104797daa4b59c986656 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2019-07-01 04:54
from __future__ import unicode_literals
from django.db import migrations, models
| 23.62963 | 61 | 0.587774 |
a69c3846d34f45eb89021386411cd01ce1729087 | 1,480 | py | Python | tic_tac_toe_main.py | ilyakz/alpha-game2 | fe492a59cd99b99b74979f81d407156dc7d0a08d | [
"MIT"
] | null | null | null | tic_tac_toe_main.py | ilyakz/alpha-game2 | fe492a59cd99b99b74979f81d407156dc7d0a08d | [
"MIT"
] | null | null | null | tic_tac_toe_main.py | ilyakz/alpha-game2 | fe492a59cd99b99b74979f81d407156dc7d0a08d | [
"MIT"
] | null | null | null | from framework.Coach import Coach
from tic_tac_toe.TicTacToeGame import TicTacToeGame
#from tic_tac_toe.tensorflow.NNet import NNetWrapper as nn
from tic_tac_toe.keras.NNet import NNetWrapper as nn
#from cube_tic_tac_toe.CubeTicTacToeGame import CubeTicTacToeGame
#from cube_tic_tac_toe.tensorflow.NNet import NNetWrappe... | 31.489362 | 80 | 0.7 |
a69c6da5a24875fb6294bf1da51edf46e3db4865 | 475 | py | Python | hw/hw09/tests/q1_3.py | ds-modules/Colab-demo | cccaff13633f8a5ec697cd4aeca9087f2feec2e4 | [
"BSD-3-Clause"
] | null | null | null | hw/hw09/tests/q1_3.py | ds-modules/Colab-demo | cccaff13633f8a5ec697cd4aeca9087f2feec2e4 | [
"BSD-3-Clause"
] | null | null | null | hw/hw09/tests/q1_3.py | ds-modules/Colab-demo | cccaff13633f8a5ec697cd4aeca9087f2feec2e4 | [
"BSD-3-Clause"
] | null | null | null | test = { 'name': 'q1_3',
'points': 1,
'suites': [ { 'cases': [ {'code': '>>> type(max_estimate) in set([int, np.int32, np.int64])\nTrue', 'hidden': False, 'locked': False},
{'code': '>>> max_estimate in observations.column(0)\nTrue', 'hidden': False, 'locked': False}],... | 52.777778 | 144 | 0.414737 |
a69c988cc5ea3fab5e018e4dee803ea9a79a1f3a | 938 | py | Python | backend/gsr_booking/management/commands/load_gsrs.py | pennlabs/penn-mobile | fb3b514a55afbf6f29dd8bd589b4e76bf52e3e90 | [
"MIT"
] | 2 | 2021-11-23T18:06:40.000Z | 2022-01-05T19:13:33.000Z | backend/gsr_booking/management/commands/load_gsrs.py | pennlabs/penn-mobile | fb3b514a55afbf6f29dd8bd589b4e76bf52e3e90 | [
"MIT"
] | 30 | 2021-10-17T23:29:44.000Z | 2022-03-31T02:03:13.000Z | backend/gsr_booking/management/commands/load_gsrs.py | pennlabs/penn-mobile | fb3b514a55afbf6f29dd8bd589b4e76bf52e3e90 | [
"MIT"
] | null | null | null | import csv
from django.core.management.base import BaseCommand
from gsr_booking.models import GSR
| 31.266667 | 95 | 0.559701 |
a69cf74b6c616c2a2b00c96da7d545e93b1d79f2 | 3,143 | py | Python | src/types_constraintes.py | julien-antigny/JConfig | ba344a3ecd5b104fb361733cb789aa6b03c41c28 | [
"Apache-2.0"
] | null | null | null | src/types_constraintes.py | julien-antigny/JConfig | ba344a3ecd5b104fb361733cb789aa6b03c41c28 | [
"Apache-2.0"
] | null | null | null | src/types_constraintes.py | julien-antigny/JConfig | ba344a3ecd5b104fb361733cb789aa6b03c41c28 | [
"Apache-2.0"
] | null | null | null | TYPES = {"int","float","str","bool","list"}
MATCH_TYPES = {"int": int, "float": float, "str": str, "bool": bool, "list": list}
CONSTRAINTS = {
"is_same_type": lambda x, y: type(x) == type(y),
"int" :{
"min_inc": lambda integer, min: integer >= min,
"min_exc": lambda integer, ... | 40.818182 | 96 | 0.560929 |
a69fa6818360c418e25ad57fb09af90cea7a16ff | 3,655 | py | Python | office365/sharepoint/changes/change_query.py | wreiner/Office365-REST-Python-Client | 476bbce4f5928a140b4f5d33475d0ac9b0783530 | [
"MIT"
] | null | null | null | office365/sharepoint/changes/change_query.py | wreiner/Office365-REST-Python-Client | 476bbce4f5928a140b4f5d33475d0ac9b0783530 | [
"MIT"
] | null | null | null | office365/sharepoint/changes/change_query.py | wreiner/Office365-REST-Python-Client | 476bbce4f5928a140b4f5d33475d0ac9b0783530 | [
"MIT"
] | null | null | null | from office365.runtime.client_value import ClientValue
| 55.378788 | 120 | 0.691108 |
a6a06d990fb107f6d173990c09e667ce4615e46e | 283 | py | Python | backend0bit/serializers.py | piotrb5e3/0bit-backend | 1df105ab57d0ddde5868ae4b03b359e0c3f00b13 | [
"Apache-2.0"
] | null | null | null | backend0bit/serializers.py | piotrb5e3/0bit-backend | 1df105ab57d0ddde5868ae4b03b359e0c3f00b13 | [
"Apache-2.0"
] | 1 | 2020-06-05T19:21:04.000Z | 2020-06-05T19:21:04.000Z | backend0bit/serializers.py | piotrb5e3/0bit-backend | 1df105ab57d0ddde5868ae4b03b359e0c3f00b13 | [
"Apache-2.0"
] | null | null | null | from rest_framework import serializers
from backend0bit.models import StaticPage
| 25.727273 | 60 | 0.696113 |
a6a07499f9e41376f3c3ce20f6b665363c5200f6 | 1,529 | py | Python | visual_diarization_svm/clear_opt_flow_features_train.py | cvossos2046/visual_speaker_diarization_svm_project | bdc57d893ad9c04145568310c068f9c3e2305cf8 | [
"MIT"
] | null | null | null | visual_diarization_svm/clear_opt_flow_features_train.py | cvossos2046/visual_speaker_diarization_svm_project | bdc57d893ad9c04145568310c068f9c3e2305cf8 | [
"MIT"
] | null | null | null | visual_diarization_svm/clear_opt_flow_features_train.py | cvossos2046/visual_speaker_diarization_svm_project | bdc57d893ad9c04145568310c068f9c3e2305cf8 | [
"MIT"
] | null | null | null |
if __name__ == "__main__":
main()
| 39.205128 | 207 | 0.63244 |
a6a08446e9c3af18bd3e2b4bc0b3c57b0b814990 | 2,906 | py | Python | src/executor/run_mol.py | ferchault/clockwork | bfc852b34095401adeb4e2b4fcaa4320f60960c7 | [
"MIT"
] | null | null | null | src/executor/run_mol.py | ferchault/clockwork | bfc852b34095401adeb4e2b4fcaa4320f60960c7 | [
"MIT"
] | 21 | 2019-01-04T10:55:39.000Z | 2019-09-23T11:02:59.000Z | src/executor/run_mol.py | ferchault/clockwork | bfc852b34095401adeb4e2b4fcaa4320f60960c7 | [
"MIT"
] | 1 | 2019-02-23T15:15:00.000Z | 2019-02-23T15:15:00.000Z | #!/usr/bin/env python
from redis import Redis
import uuid
import sys
import os
import subprocess
import shutil
import numpy as np
import itertools as it
import json
from rdkit import Chem
from rdkit.Chem import AllChem, ChemicalForceFields
redis = Redis.from_url("redis://" + os.environ.get("EXECUTOR_C... | 30.914894 | 139 | 0.714728 |
a6a1239b6aa0686d999ec021a092f3122039794c | 3,855 | py | Python | eventsourcing/tests/processrecorder_testcase.py | h11r/eventsourcing | e53ef697bfef8b78a468dc52d342b0e39b7cb889 | [
"BSD-3-Clause"
] | null | null | null | eventsourcing/tests/processrecorder_testcase.py | h11r/eventsourcing | e53ef697bfef8b78a468dc52d342b0e39b7cb889 | [
"BSD-3-Clause"
] | null | null | null | eventsourcing/tests/processrecorder_testcase.py | h11r/eventsourcing | e53ef697bfef8b78a468dc52d342b0e39b7cb889 | [
"BSD-3-Clause"
] | null | null | null | from abc import ABC, abstractmethod
from timeit import timeit
from unittest.case import TestCase
from uuid import uuid4
from eventsourcing.persistence import (
RecordConflictError,
StoredEvent,
Tracking,
)
| 26.047297 | 65 | 0.54345 |
a6a173dfa16946d1b343a80b4e42d5cc67ea6e07 | 397 | py | Python | lolexport/log.py | dleiferives/lolexport | 894c97240893da829e96f46e2c4cdebf85846412 | [
"MIT"
] | 2 | 2021-02-23T09:21:07.000Z | 2022-03-25T15:02:50.000Z | lolexport/log.py | dleiferives/lolexport | 894c97240893da829e96f46e2c4cdebf85846412 | [
"MIT"
] | 5 | 2021-02-24T01:26:36.000Z | 2022-02-27T13:05:27.000Z | lolexport/log.py | dleiferives/lolexport | 894c97240893da829e96f46e2c4cdebf85846412 | [
"MIT"
] | 1 | 2022-02-27T02:17:17.000Z | 2022-02-27T02:17:17.000Z | from os import environ
import logging
from logzero import setup_logger # type: ignore[import]
# https://docs.python.org/3/library/logging.html#logging-levels
loglevel: int = logging.DEBUG # (10)
if "LOLEXPORT" in environ:
loglevel = int(environ["LOLEXPORT"])
# logzero handles this fine, can be imported/configu... | 28.357143 | 63 | 0.758186 |
a6a1b6d7205087acf58bd99258d54c81c8cb5272 | 6,538 | py | Python | test_routes.py | Varini/CHALLENGE_SFNewsAPI | 439bf7dfc10f83466786f6bd054afc8ab07b1b58 | [
"MIT"
] | null | null | null | test_routes.py | Varini/CHALLENGE_SFNewsAPI | 439bf7dfc10f83466786f6bd054afc8ab07b1b58 | [
"MIT"
] | null | null | null | test_routes.py | Varini/CHALLENGE_SFNewsAPI | 439bf7dfc10f83466786f6bd054afc8ab07b1b58 | [
"MIT"
] | null | null | null | from operator import index
from fastapi.testclient import TestClient
from index import app
client = TestClient(app)
| 40.608696 | 277 | 0.487611 |
a6a36c3ad6ad312dcf0a3b5b7faffce0dc407190 | 19,787 | py | Python | applications/javelin/controllers/jadmin.py | jjacobson93/javelin-web2py | d4de493156c6893acca74d4be7f4597c90c418f3 | [
"BSD-3-Clause"
] | null | null | null | applications/javelin/controllers/jadmin.py | jjacobson93/javelin-web2py | d4de493156c6893acca74d4be7f4597c90c418f3 | [
"BSD-3-Clause"
] | null | null | null | applications/javelin/controllers/jadmin.py | jjacobson93/javelin-web2py | d4de493156c6893acca74d4be7f4597c90c418f3 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Javelin Web2Py Admin Controller
"""
# metadata
__author__ = "Jeremy Jacobson"
__copyright__ = "(c) 2013, Jacobson and Varni, LLC"
__date__ = "7/12/2013"
__email__ = "jjacobson93@gmail.com"
__data__ = {'name' : 'jadmin', 'label' : 'Admin', 'description' : 'Only accessible to admins',
'ico... | 35.588129 | 148 | 0.670086 |
a6a3e38e319e18c135bd1b7301d2bdabc8eba4b7 | 36,084 | py | Python | Testing.py | Eric-Fernandes-529/Final_Project_SW555 | 45498ed718e67ee082182ead526cb43eedd2ac56 | [
"MIT"
] | null | null | null | Testing.py | Eric-Fernandes-529/Final_Project_SW555 | 45498ed718e67ee082182ead526cb43eedd2ac56 | [
"MIT"
] | 1 | 2020-10-07T02:48:52.000Z | 2020-10-07T02:48:52.000Z | Testing.py | Eric-Fernandes-529/Final_Project_SW555 | 45498ed718e67ee082182ead526cb43eedd2ac56 | [
"MIT"
] | 1 | 2020-10-07T01:53:44.000Z | 2020-10-07T01:53:44.000Z | import unittest
import sys
#sys.path.append('../')
from models.Individual import Individual
from models.Family import Family
from models.Gedcom import Gedcom
if __name__ == '__main__':
print('Running unit tests')
unittest.main() | 36.633503 | 117 | 0.517044 |
a6a5d4525cdd7bb5aa80c9c5bcf3a0e256af0a40 | 9,307 | py | Python | energyPATHWAYS/supply_classes.py | Dhruv325/energypath-hub | 0b6b5d1a40faf5a686f5b479d61b9971084494fd | [
"MIT"
] | null | null | null | energyPATHWAYS/supply_classes.py | Dhruv325/energypath-hub | 0b6b5d1a40faf5a686f5b479d61b9971084494fd | [
"MIT"
] | null | null | null | energyPATHWAYS/supply_classes.py | Dhruv325/energypath-hub | 0b6b5d1a40faf5a686f5b479d61b9971084494fd | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Tue Nov 17 09:36:07 2015
@author: Ben
"""
from shared_classes import Stock, StockItem, SpecifiedStock
from datamapfunctions import DataMapFunctions, Abstract
import util
import numpy as np
import config as cfg
| 51.137363 | 171 | 0.640701 |
a6a6431d51a235cb7ff69e63e81efdad25385e1c | 2,485 | py | Python | 3.4 Knapsack Problem (Recursion with Memorization).py | INOS-soft/MOmmentum-SECList | 779db12933a5c351c3a5f3a3bc70d5f122033aba | [
"BSD-3-Clause",
"Apache-2.0",
"MIT"
] | null | null | null | 3.4 Knapsack Problem (Recursion with Memorization).py | INOS-soft/MOmmentum-SECList | 779db12933a5c351c3a5f3a3bc70d5f122033aba | [
"BSD-3-Clause",
"Apache-2.0",
"MIT"
] | null | null | null | 3.4 Knapsack Problem (Recursion with Memorization).py | INOS-soft/MOmmentum-SECList | 779db12933a5c351c3a5f3a3bc70d5f122033aba | [
"BSD-3-Clause",
"Apache-2.0",
"MIT"
] | 1 | 2021-04-20T18:57:55.000Z | 2021-04-20T18:57:55.000Z | """
2.Question 2
This problem also asks you to solve a knapsack instance, but a much bigger one.
This file (knapsack_big.txt) describes a knapsack instance, and it has the following format:
[knapsack_size][number_of_items]
[value_1] [weight_1]
[value_2] [weight_2]
...
For example, the third line of ... | 36.014493 | 464 | 0.711871 |
a6a650997a0e40d341164565e71707c592c13050 | 1,372 | py | Python | src/producto18.py | alonsosilvaallende/Datos-COVID19 | a52b586ce0c9eb41a3f7443a164402124ffef504 | [
"MIT"
] | null | null | null | src/producto18.py | alonsosilvaallende/Datos-COVID19 | a52b586ce0c9eb41a3f7443a164402124ffef504 | [
"MIT"
] | null | null | null | src/producto18.py | alonsosilvaallende/Datos-COVID19 | a52b586ce0c9eb41a3f7443a164402124ffef504 | [
"MIT"
] | null | null | null | '''
MIT License
Copyright (c) 2020 Sebastian Cornejo
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 Software without restriction, including without limitation the rights
to use, copy, modify, merge, publ... | 41.575758 | 78 | 0.78207 |
a6a7113e619a2809e17b57f976bcac4480ea4305 | 2,125 | py | Python | src/linebot/app.py | zaurus-yusya/AtCoderStalker | e3ab389f00995d752d87710c03da905ed89554c4 | [
"MIT"
] | 7 | 2021-07-11T15:50:52.000Z | 2021-09-18T15:49:27.000Z | src/linebot/app.py | zaurus-yusya/AtCoderStalker | e3ab389f00995d752d87710c03da905ed89554c4 | [
"MIT"
] | 2 | 2020-05-30T16:18:33.000Z | 2020-05-30T16:23:40.000Z | src/linebot/app.py | zaurus-yusya/AtCoderStalker | e3ab389f00995d752d87710c03da905ed89554c4 | [
"MIT"
] | null | null | null | import json
import urllib.request
from linebot import (LineBotApi, WebhookHandler)
from linebot.models import (MessageEvent, TextMessage, PostbackEvent, FollowEvent, UnfollowEvent)
from linebot.exceptions import (LineBotApiError, InvalidSignatureError)
import os
import sys
import logging
import boto3
from boto3.dynamod... | 28.716216 | 97 | 0.722353 |
a6a8e49393235dbee8fb04867d787d7bb8bf15f1 | 1,918 | py | Python | setup.py | burhan/solace | 40d2bc025ac3a78e67602f374c32355badafb4d2 | [
"BSD-3-Clause"
] | null | null | null | setup.py | burhan/solace | 40d2bc025ac3a78e67602f374c32355badafb4d2 | [
"BSD-3-Clause"
] | null | null | null | setup.py | burhan/solace | 40d2bc025ac3a78e67602f374c32355badafb4d2 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Solace
======
*a multilingual support system*
Solace is a multilingual support system developed at Plurk
for end user support. The application design is heavily
influenced by bulletin boards like phpBB and the new
stackoverflow programming community site.
For more information consult th... | 25.236842 | 71 | 0.624609 |
a6a8e6192908dea4aad06b73839c0578612b9ce2 | 4,583 | py | Python | relation_engine/taxa/ncbi/loaders/ncbi_taxa_delta_loader.py | jayrbolton/arangodb_biochem_importer | b1c3eb16908ce47bf4c0b2ed792262612b6a019b | [
"MIT"
] | null | null | null | relation_engine/taxa/ncbi/loaders/ncbi_taxa_delta_loader.py | jayrbolton/arangodb_biochem_importer | b1c3eb16908ce47bf4c0b2ed792262612b6a019b | [
"MIT"
] | 17 | 2019-07-15T16:55:22.000Z | 2021-11-02T18:49:56.000Z | relation_engine/taxa/ncbi/loaders/ncbi_taxa_delta_loader.py | jayrbolton/arangodb_biochem_importer | b1c3eb16908ce47bf4c0b2ed792262612b6a019b | [
"MIT"
] | 6 | 2019-08-05T17:02:22.000Z | 2021-05-13T15:52:11.000Z | #!/usr/bin/env python
# TODO TEST
import argparse
import getpass
import os
from arango import ArangoClient
from relation_engine.taxa.ncbi.parsers import NCBINodeProvider
from relation_engine.taxa.ncbi.parsers import NCBIEdgeProvider
from relation_engine.taxa.ncbi.parsers import NCBIMergeProvider
from relation_engine... | 38.512605 | 99 | 0.670521 |
a6a93fa998370452499035e80f03dcb57488747c | 516 | py | Python | listwords.py | corbinmcneill/bonkbot | 5d355d9b8d2377176fc8ec317a7cba03ff3bb37a | [
"MIT"
] | 1 | 2020-12-07T06:58:38.000Z | 2020-12-07T06:58:38.000Z | listwords.py | corbinmcneill/bonkbot | 5d355d9b8d2377176fc8ec317a7cba03ff3bb37a | [
"MIT"
] | 1 | 2021-01-06T06:36:11.000Z | 2021-01-06T09:06:15.000Z | listwords.py | corbinmcneill/bonkbot | 5d355d9b8d2377176fc8ec317a7cba03ff3bb37a | [
"MIT"
] | 2 | 2021-01-06T06:34:42.000Z | 2021-01-28T08:41:40.000Z | #!/usr/bin/env python3
import discord
import config
import util
from functools import reduce
from handler import Handler
| 28.666667 | 119 | 0.718992 |
a6ab15c2903f3b2f130c56a38afb23e92c3c2863 | 12,984 | py | Python | threedi_custom_stats/presets.py | threedi/beta-plugins | 530a5542deda73201626f7a429f87ce64cbac51a | [
"MIT"
] | 1 | 2022-02-14T10:31:51.000Z | 2022-02-14T10:31:51.000Z | threedi_custom_stats/presets.py | threedi/beta-plugins | 530a5542deda73201626f7a429f87ce64cbac51a | [
"MIT"
] | 11 | 2019-04-08T14:11:45.000Z | 2021-07-02T14:28:04.000Z | threedi_custom_stats/presets.py | threedi/beta-plugins | 530a5542deda73201626f7a429f87ce64cbac51a | [
"MIT"
] | null | null | null | from typing import List
try:
from .threedi_result_aggregation import *
# from .aggregation_classes import *
# from .constants import *
from .style import *
except ImportError:
from threedi_result_aggregation import *
# from constants import *
from style import *
# No preset selected
NO_P... | 64.277228 | 120 | 0.456716 |
a6ae30671d32b4a1a187c08b2e996358d70fedaa | 4,776 | py | Python | script/build_template.py | lzztt/bbs.backend | ca83ba8badfd7cbdf85c75323aa9df751b5d11fe | [
"MIT"
] | null | null | null | script/build_template.py | lzztt/bbs.backend | ca83ba8badfd7cbdf85c75323aa9df751b5d11fe | [
"MIT"
] | null | null | null | script/build_template.py | lzztt/bbs.backend | ca83ba8badfd7cbdf85c75323aa9df751b5d11fe | [
"MIT"
] | 1 | 2018-09-18T02:14:34.000Z | 2018-09-18T02:14:34.000Z | #! python3
from sys import argv
from pathlib import Path
from re import compile
from enum import Enum
from inflection import camelize
RE_CLASS = compile(r'^use [a-zA-Z_][a-zA-Z0-9_\\]*;$')
RE_PARAM = compile(r'^[a-zA-Z_][a-zA-Z0-9_]* \$[a-zA-Z_][a-zA-Z0-9_]*,?$')
PARAM_BEGIN = r'function ('
PARAM_END = r') {'
PARAM... | 25.677419 | 108 | 0.527219 |
a6b00053cb475a5d6e67bb02e64f93f6e7d1106d | 21,606 | py | Python | app.py | ucsc-cgp/cgp-dashboard | 0ec5d3e2374751be02487caf4efe7cd9dae18522 | [
"Apache-2.0"
] | 1 | 2018-07-09T16:21:29.000Z | 2018-07-09T16:21:29.000Z | app.py | ucsc-cgp/cgp-dashboard | 0ec5d3e2374751be02487caf4efe7cd9dae18522 | [
"Apache-2.0"
] | 46 | 2018-05-04T17:05:58.000Z | 2019-01-23T18:39:08.000Z | app.py | DataBiosphere/cgp-dashboard | 0ec5d3e2374751be02487caf4efe7cd9dae18522 | [
"Apache-2.0"
] | 5 | 2016-12-20T02:03:13.000Z | 2018-03-13T19:51:44.000Z | import os
import requests
from bouncer import Bouncer
from flask import Flask, url_for, redirect, \
render_template, session, request, Response, \
flash, get_flashed_messages, jsonify
from flask_login import LoginManager, login_required, login_user, \
logout_user, current_user, UserMixin
from oauthlib.oaut... | 34.349762 | 147 | 0.643201 |
a6b278baa9a78edbd910abdfa8c4d04de51fc371 | 1,260 | py | Python | setup.py | toinsson/pynatnetclient | 9743fb33e668b209022ab06e61bc4816e9ad9355 | [
"Apache-2.0"
] | 1 | 2021-03-05T18:23:06.000Z | 2021-03-05T18:23:06.000Z | setup.py | toinsson/pynatnetclient | 9743fb33e668b209022ab06e61bc4816e9ad9355 | [
"Apache-2.0"
] | null | null | null | setup.py | toinsson/pynatnetclient | 9743fb33e668b209022ab06e61bc4816e9ad9355 | [
"Apache-2.0"
] | null | null | null | import io, os, re
from os import path
from setuptools import find_packages
from distutils.core import setup
# pip's single-source version method as described here:
# https://python-packaging-user-guide.readthedocs.io/single_source_version/
setup(name='pynatnetclient',
version=find_version('pynatnetclient', '__... | 30.731707 | 75 | 0.653968 |
a6b27c6859301d1606a8d5f073f133b9b73bc5e5 | 188 | py | Python | Code/circle.py | notha99y/Satellite-Scheduling | 6231eccf353f37ba643a7e37aa60525355f5d005 | [
"MIT"
] | 14 | 2018-04-06T22:36:30.000Z | 2022-02-15T02:36:58.000Z | Code/circle.py | notha99y/Satellite-Scheduling | 6231eccf353f37ba643a7e37aa60525355f5d005 | [
"MIT"
] | null | null | null | Code/circle.py | notha99y/Satellite-Scheduling | 6231eccf353f37ba643a7e37aa60525355f5d005 | [
"MIT"
] | 4 | 2018-04-06T22:36:57.000Z | 2022-02-15T02:37:00.000Z | import matplotlib.pyplot as plt
circle = plt.Circle((0,0),5, fill=False)
fig, ax = plt.subplots()
ax.add_artist(circle)
ax.set_xlim((-10, 10))
ax.set_ylim((-10, 10))
plt.show()
| 18.8 | 41 | 0.654255 |
a6b3572cf5f220699e22344092a457efc15b97ad | 358 | py | Python | cwk_3b.py | mas250/Python3 | 6ac6f0ffe7869cd7520b2ae0debf3650116a97b1 | [
"MIT"
] | 1 | 2019-12-28T12:31:28.000Z | 2019-12-28T12:31:28.000Z | cwk_3b.py | mas250/Python3 | 6ac6f0ffe7869cd7520b2ae0debf3650116a97b1 | [
"MIT"
] | null | null | null | cwk_3b.py | mas250/Python3 | 6ac6f0ffe7869cd7520b2ae0debf3650116a97b1 | [
"MIT"
] | null | null | null | prize_file_1 = open("/Users/MatBook/Downloads/prize3.txt")
List = []
prizes = []
for line in prize_file_1:
List.append(int(line))
first_line = List.pop(0)
for i in List:
print(i)
for j in List:
if i + j == first_line:
prizes.append((i,j))
print (... | 13.769231 | 58 | 0.547486 |
a6b3808aec7e81eab7bb1df7481e77ef7f5b409c | 1,684 | py | Python | DevNetworkPython/tagAnalysis.py | ManikHossain08/Metrics-Extraction-from-GitHub-MSR_Python | b846c8ea6d37246af1c202466b60c15d06c5ba8b | [
"MIT"
] | 1 | 2020-06-13T22:30:17.000Z | 2020-06-13T22:30:17.000Z | DevNetworkPython/tagAnalysis.py | ManikHossain08/Metrics-Extraction-from-GitHub-MSR | b846c8ea6d37246af1c202466b60c15d06c5ba8b | [
"MIT"
] | null | null | null | DevNetworkPython/tagAnalysis.py | ManikHossain08/Metrics-Extraction-from-GitHub-MSR | b846c8ea6d37246af1c202466b60c15d06c5ba8b | [
"MIT"
] | null | null | null | import os
import git
import csv
from datetime import datetime
from progress.bar import Bar
| 30.071429 | 93 | 0.574822 |
a6b564871deacaebf5076f647494e02a77ffcc72 | 2,129 | py | Python | keystoneworkout/benchmark.py | dstanek/keystone-exercises | 5023fe87896ffefb462936ca9e6a982b9d099d6c | [
"Apache-2.0"
] | null | null | null | keystoneworkout/benchmark.py | dstanek/keystone-exercises | 5023fe87896ffefb462936ca9e6a982b9d099d6c | [
"Apache-2.0"
] | null | null | null | keystoneworkout/benchmark.py | dstanek/keystone-exercises | 5023fe87896ffefb462936ca9e6a982b9d099d6c | [
"Apache-2.0"
] | null | null | null | import shelve
import sys
import threading
import time
| 30.855072 | 103 | 0.550493 |
a6b8534dfb59965e01c0a204829dc917ef20d463 | 5,938 | py | Python | src/dipus/search_js_t.py | shirou/dipus | 1c8a9cc89fb95a5c6ae99e692488496bd3fbec34 | [
"BSD-2-Clause"
] | null | null | null | src/dipus/search_js_t.py | shirou/dipus | 1c8a9cc89fb95a5c6ae99e692488496bd3fbec34 | [
"BSD-2-Clause"
] | null | null | null | src/dipus/search_js_t.py | shirou/dipus | 1c8a9cc89fb95a5c6ae99e692488496bd3fbec34 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
template = """/*
* * search_dipus
* * ~~~~~~~~~~~~~~
* *
* * Dipus JavaScript utilties for the full-text search.
* * This files is based on searchtools.js of Sphinx.
* *
* * :copyright: Copyright 2007-2012 by the Sphinx team.
* * :license: BSD, see LICENSE ... | 35.556886 | 184 | 0.492253 |
a6b86b9c9b7aaf978ba0544515d3c12d570959c7 | 508 | py | Python | src/offensivetextdetectionservice/src/config.py | alejgh/easidiomas | abe9e4dc6ccf27d28ea3b14ef0251f044a8c2261 | [
"MIT"
] | 1 | 2022-01-24T16:56:42.000Z | 2022-01-24T16:56:42.000Z | src/offensivetextdetectionservice/src/config.py | alejgh/easidiomas | abe9e4dc6ccf27d28ea3b14ef0251f044a8c2261 | [
"MIT"
] | null | null | null | src/offensivetextdetectionservice/src/config.py | alejgh/easidiomas | abe9e4dc6ccf27d28ea3b14ef0251f044a8c2261 | [
"MIT"
] | null | null | null | """ Configuration variables used in the application.
These variables should be setup as environment variables
in the docker-compose.yml file when launching all the services.
If these environment variables are not present, default values
are asigned to them.
"""
import os
KAFKA_ENDPOINT = os.environ.get('KAFKA_ENDPOI... | 36.285714 | 71 | 0.797244 |
a6b882cf867dd1d00939f625ef0b69c7a7489074 | 13,896 | py | Python | tsp_ac.py | Architecton/route-optimization-using-machine-learning | ae641bba4ac9a15656658f8cb1abdb83451aa753 | [
"MIT"
] | null | null | null | tsp_ac.py | Architecton/route-optimization-using-machine-learning | ae641bba4ac9a15656658f8cb1abdb83451aa753 | [
"MIT"
] | null | null | null | tsp_ac.py | Architecton/route-optimization-using-machine-learning | ae641bba4ac9a15656658f8cb1abdb83451aa753 | [
"MIT"
] | null | null | null | import numpy as np
import networkx as nx
import argparse
import random
from models.distance import get_dist_func
def get_fitness(solution, initial_node, node_list):
"""
Get fitness of solution encoded by permutation.
Args:
solution (numpy.ndarray): Solution encoded as a permutation
ini... | 45.411765 | 154 | 0.63637 |
a6ba1034d83cf267912fbc83efe67828fa37bf25 | 2,393 | py | Python | samples/sample_file_handling.py | Wacom-Developer/universal-ink-library | 689ed90e09e912b8fc9ac249984df43a7b59aa59 | [
"Apache-2.0"
] | 5 | 2021-09-06T11:45:37.000Z | 2022-03-24T15:56:06.000Z | samples/sample_file_handling.py | Wacom-Developer/universal-ink-library | 689ed90e09e912b8fc9ac249984df43a7b59aa59 | [
"Apache-2.0"
] | null | null | null | samples/sample_file_handling.py | Wacom-Developer/universal-ink-library | 689ed90e09e912b8fc9ac249984df43a7b59aa59 | [
"Apache-2.0"
] | 2 | 2021-09-03T09:08:45.000Z | 2021-12-15T14:03:16.000Z | # -*- coding: utf-8 -*-
# Copyright 2021 Wacom Authors. 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
#
# Unles... | 50.914894 | 120 | 0.558713 |
a6ba3b9a6eb8e00e8a17e5342d7063e3223bfdac | 8,504 | py | Python | net/LcaNet.py | SoufiyanBAHADI/ALCA | 7eea7402eb00f410a6fd9c6734f1926b1e31cff8 | [
"BSD-2-Clause"
] | 3 | 2021-10-04T02:00:54.000Z | 2022-03-09T18:52:31.000Z | net/LcaNet.py | SoufiyanBAHADI/ALCA | 7eea7402eb00f410a6fd9c6734f1926b1e31cff8 | [
"BSD-2-Clause"
] | 2 | 2022-01-23T22:32:28.000Z | 2022-03-12T02:21:11.000Z | net/LcaNet.py | SoufiyanBAHADI/ALCA | 7eea7402eb00f410a6fd9c6734f1926b1e31cff8 | [
"BSD-2-Clause"
] | null | null | null | """
Created on 30.09.2020
@author: Soufiyan Bahadi
@director: Jean Rouat
@co-director: Eric Plourde
"""
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from managers.ContextManager import ContextManager
from managers.LearningManager import LearningManager
from managers.PlottingMan... | 37.795556 | 166 | 0.485889 |
a6ba8aa475057ee102e8d38ba6b8631bbfab4990 | 8,254 | py | Python | util_tools/L2L_analysis_module.py | WeilabMSU/PretrainModels | 15370ded8c1c03ba0b9e123fe4c125815300d157 | [
"MIT"
] | 4 | 2021-12-22T08:35:47.000Z | 2022-02-04T23:05:19.000Z | util_tools/L2L_analysis_module.py | WeilabMSU/PretrainModels | 15370ded8c1c03ba0b9e123fe4c125815300d157 | [
"MIT"
] | null | null | null | util_tools/L2L_analysis_module.py | WeilabMSU/PretrainModels | 15370ded8c1c03ba0b9e123fe4c125815300d157 | [
"MIT"
] | null | null | null | '''
Analytic Hierarchy Process, AHP.
Base on Wasserstein distance
'''
from scipy.stats import wasserstein_distance
from sklearn.decomposition import PCA
import scipy
import numpy as np
import pandas as pd
import sys
import argparse
import os
import glob
import datasets_analysis_module as dam
if __name__ ... | 36.522124 | 113 | 0.63024 |
a6bb1c54381bdffa7fdca88fa66dee0901c84e20 | 7,581 | py | Python | src/opendr/_setup.py | daoran/opendr | bca25f6a43244fe9c219a24576181f94a0726923 | [
"Apache-2.0"
] | null | null | null | src/opendr/_setup.py | daoran/opendr | bca25f6a43244fe9c219a24576181f94a0726923 | [
"Apache-2.0"
] | null | null | null | src/opendr/_setup.py | daoran/opendr | bca25f6a43244fe9c219a24576181f94a0726923 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020-2022 OpenDR European Project
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agree... | 34.616438 | 117 | 0.597019 |
a6bf3ee264874a265742ece6f2b12936cf879cc1 | 13,836 | py | Python | modules/auto_split/splitter/mxnet_splitter.py | sophon-ai-algo/sophon-inference | f923413b76615e265af28fd1dd2b43e5eb303dcd | [
"Apache-2.0"
] | 18 | 2020-02-21T03:06:33.000Z | 2022-03-21T03:41:56.000Z | modules/auto_split/splitter/mxnet_splitter.py | sophon-ai-algo/sophon-inference | f923413b76615e265af28fd1dd2b43e5eb303dcd | [
"Apache-2.0"
] | null | null | null | modules/auto_split/splitter/mxnet_splitter.py | sophon-ai-algo/sophon-inference | f923413b76615e265af28fd1dd2b43e5eb303dcd | [
"Apache-2.0"
] | 6 | 2020-07-10T08:55:38.000Z | 2021-12-28T01:36:04.000Z | """ Copyright 2016-2022 by Bitmain Technologies Inc. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applica... | 35.386189 | 79 | 0.700347 |
a6c033633c6c6cc98bdf46fde938f21a68a4d3ac | 1,221 | py | Python | src/heuristic.py | Maasouza/MinVertexCover | 3edf31bfa9a8979e86094961034efce61d5c6b86 | [
"MIT"
] | null | null | null | src/heuristic.py | Maasouza/MinVertexCover | 3edf31bfa9a8979e86094961034efce61d5c6b86 | [
"MIT"
] | null | null | null | src/heuristic.py | Maasouza/MinVertexCover | 3edf31bfa9a8979e86094961034efce61d5c6b86 | [
"MIT"
] | null | null | null | import networkx as nx
from util import *
def heuristic_cover(graph , preprocess = False):
"""
heuristica
se preprocess entao
realiza o preprocessamento para remover vertices com apenas um vizinho
retornando os vertices ja visitados
enquanto existir vertices no grafo... | 27.133333 | 82 | 0.556921 |
a6c04b1be112a409e5c402b61de90de419055381 | 389 | py | Python | autharch_sharc/editor/migrations/0042_sharciiif_order.py | kingsdigitallab/autharch_sharc | 92de5fbec8cc72ce48a9e25eb634d40ac2cc83ca | [
"MIT"
] | null | null | null | autharch_sharc/editor/migrations/0042_sharciiif_order.py | kingsdigitallab/autharch_sharc | 92de5fbec8cc72ce48a9e25eb634d40ac2cc83ca | [
"MIT"
] | null | null | null | autharch_sharc/editor/migrations/0042_sharciiif_order.py | kingsdigitallab/autharch_sharc | 92de5fbec8cc72ce48a9e25eb634d40ac2cc83ca | [
"MIT"
] | null | null | null | # Generated by Django 3.0.10 on 2021-07-09 09:38
from django.db import migrations, models
| 20.473684 | 50 | 0.601542 |
a6c079133086435312474069fd2c024714d94107 | 13,761 | py | Python | turtlebot3_dqn/src/turtlebot3_dqn/simulation_environment_real.py | 2529342549/turtlebot3_m_learning | 19fc961de8a993eafcd421186ad1c38473d04818 | [
"Apache-2.0"
] | 3 | 2020-01-27T09:23:50.000Z | 2022-03-24T09:58:48.000Z | turtlebot3_dqn/src/turtlebot3_dqn/simulation_environment_real.py | 2529342549/turtlebot3_machine_learning | bdb8cc0fa0110269cd3573d3f78011c3e0201e09 | [
"Apache-2.0"
] | null | null | null | turtlebot3_dqn/src/turtlebot3_dqn/simulation_environment_real.py | 2529342549/turtlebot3_machine_learning | bdb8cc0fa0110269cd3573d3f78011c3e0201e09 | [
"Apache-2.0"
] | 2 | 2020-01-27T09:23:54.000Z | 2021-09-20T04:07:13.000Z | #!/usr/bin/env python
#################################################################################
# Copyright 2018 ROBOTIS CO., LTD.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# ... | 37.70137 | 129 | 0.534263 |
a6c1c0b4ec9e4d0b37b006d5d64e485ed7f8cc62 | 417 | py | Python | codeforces/anirudhak47/1328/B.py | anirudhakulkarni/codes | d7a907951033b57314dfc0b837123aaa5c25a39a | [
"MIT"
] | 3 | 2020-07-09T16:15:42.000Z | 2020-07-17T13:19:42.000Z | codeforces/anirudhak47/1328/B.py | anirudhakulkarni/codes | d7a907951033b57314dfc0b837123aaa5c25a39a | [
"MIT"
] | null | null | null | codeforces/anirudhak47/1328/B.py | anirudhakulkarni/codes | d7a907951033b57314dfc0b837123aaa5c25a39a | [
"MIT"
] | 1 | 2020-07-17T13:19:48.000Z | 2020-07-17T13:19:48.000Z |
# cook your dish here
for t in range(int(input())):
#n=int(input())
n,k=map(int,input().split())
clas=classfinder(k)
i=k-clas*(clas-1)//2
str=""
for z in range(n):
if z==n-clas-1 or z==n-i:
str+="b"
else:
str+="a"
print(str) | 18.954545 | 34 | 0.443645 |
a6c2f3f7fadfd4ca0984002c0c949dd1121f320e | 3,827 | py | Python | ch05/ch0501_convnet.py | zhuyuanxiang/deep-learning-with-python-notebooks | 6b6b5670193f5a26321c36de3b547203e30dc8c7 | [
"MIT"
] | 6 | 2019-11-30T01:34:24.000Z | 2021-11-28T10:53:22.000Z | ch05/ch0501_convnet.py | zhuyuanxiang/deep-learning-with-python-notebooks | 6b6b5670193f5a26321c36de3b547203e30dc8c7 | [
"MIT"
] | null | null | null | ch05/ch0501_convnet.py | zhuyuanxiang/deep-learning-with-python-notebooks | 6b6b5670193f5a26321c36de3b547203e30dc8c7 | [
"MIT"
] | 4 | 2020-04-11T10:46:17.000Z | 2021-11-09T08:04:55.000Z | # -*- encoding: utf-8 -*-
"""
@Author : zYx.Tom
@Contact : 526614962@qq.com
@site : https://zhuyuanxiang.github.io
---------------------------
@Software : PyCharm
@Project : deep-learning-with-python-notebooks
@File : ch0501_convnet.py
@Version : v0.1
@Time : 2019-11... | 35.435185 | 118 | 0.709694 |
a6c390b45f2052455e5898ffbc22af9be8ea36fa | 878 | py | Python | run.py | sulavmhrzn/facebook-autoreply-bot | 2196f392c03305a9d9eca9bd70e2e6dafc38c995 | [
"MIT"
] | null | null | null | run.py | sulavmhrzn/facebook-autoreply-bot | 2196f392c03305a9d9eca9bd70e2e6dafc38c995 | [
"MIT"
] | null | null | null | run.py | sulavmhrzn/facebook-autoreply-bot | 2196f392c03305a9d9eca9bd70e2e6dafc38c995 | [
"MIT"
] | null | null | null | from utils.app import SendBot
try:
from dotenv import load_dotenv
import os
except ModuleNotFoundError:
print('Required modules not found.')
exit()
load_dotenv()
env = input('Load environment variables? (y/n): ').lower()
options = ['y', 'n']
if env in options:
if env == 'n':
email = inpu... | 24.388889 | 60 | 0.595672 |