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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
e468b2b5e8f04b80c414c4137b991f429ffae653 | 2,508 | py | Python | kedro/extras/logging/color_logger.py | daniel-falk/kedro | 19187199339ddc4a757aaaa328f319ec4c1e452a | [
"Apache-2.0"
] | 2,047 | 2022-01-10T15:22:12.000Z | 2022-03-31T13:38:56.000Z | kedro/extras/logging/color_logger.py | daniel-falk/kedro | 19187199339ddc4a757aaaa328f319ec4c1e452a | [
"Apache-2.0"
] | 170 | 2022-01-10T12:44:31.000Z | 2022-03-31T17:01:24.000Z | kedro/extras/logging/color_logger.py | daniel-falk/kedro | 19187199339ddc4a757aaaa328f319ec4c1e452a | [
"Apache-2.0"
] | 112 | 2022-01-10T19:15:24.000Z | 2022-03-30T11:20:52.000Z | """A logging handler class which produces coloured logs."""
import logging
import click
class ColorHandler(logging.StreamHandler):
"""A color log handler.
You can use this handler by incorporating the example below into your
logging configuration:
``conf/project/logging.yml``:
::
for... | 26.125 | 74 | 0.548644 | 2,414 | 0.96252 | 0 | 0 | 0 | 0 | 0 | 0 | 1,485 | 0.592105 |
e46b6c69ae3a4c3f1fee528d4d729291bff4cf8d | 1,468 | py | Python | qt_figure.py | liwenlongonly/LogAnalyzer | 4981c0673cf0d1a52ad76e473ffc1c30bb6bf22b | [
"Apache-2.0"
] | null | null | null | qt_figure.py | liwenlongonly/LogAnalyzer | 4981c0673cf0d1a52ad76e473ffc1c30bb6bf22b | [
"Apache-2.0"
] | null | null | null | qt_figure.py | liwenlongonly/LogAnalyzer | 4981c0673cf0d1a52ad76e473ffc1c30bb6bf22b | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from PyQt5 import QtCore
import numpy as np
from matplotlib.figure import Figure
import time
import matplotlib
matplotlib.use("Qt5Agg") # 声明使用QT5
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
class QtFigure(FigureCanvas):
def __init__(self, width=5, he... | 32.622222 | 83 | 0.636921 | 1,368 | 0.838235 | 0 | 0 | 95 | 0.058211 | 0 | 0 | 380 | 0.232843 |
e46c1072625294f177cc250fe85584da3ad9a985 | 124,267 | py | Python | python/target_selection/cartons/bhm_spiders_agn.py | sdss/target_selection | 7196bf1491c4e9c18140301c7001e503f391a8e1 | [
"BSD-3-Clause"
] | 3 | 2020-07-07T01:38:59.000Z | 2020-11-24T21:46:58.000Z | python/target_selection/cartons/bhm_spiders_agn.py | sdss/target_selection | 7196bf1491c4e9c18140301c7001e503f391a8e1 | [
"BSD-3-Clause"
] | 26 | 2020-05-28T07:18:54.000Z | 2021-11-30T18:36:10.000Z | python/target_selection/cartons/bhm_spiders_agn.py | sdss/target_selection | 7196bf1491c4e9c18140301c7001e503f391a8e1 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# @Author: Tom Dwelly
# @Date: 2020-03-03
# @Filename: bhm_spiders_agn.py
# @License: BSD 3-clause (http://www.opensource.org/licenses/BSD-3-Clause)
# derived from guide.py
# ### flake8: noqa
# isort: skip_file
import peewee
from peewee import JOIN
from peewee import fn... | 41.325906 | 388 | 0.500036 | 116,562 | 0.937996 | 0 | 0 | 0 | 0 | 0 | 0 | 36,243 | 0.291654 |
e47016cbd72e7098c0941f4e47d79ce1b7c698d1 | 776 | py | Python | back-end/erasmail/emails/migrations/0038_auto_20210422_0059.py | SamirM-BE/ErasMail | 88602a039ae731ca8566c96c7c4d2635f82a07a5 | [
"Apache-2.0"
] | 7 | 2021-02-06T21:06:23.000Z | 2022-01-31T09:33:26.000Z | back-end/erasmail/emails/migrations/0038_auto_20210422_0059.py | SamirM-BE/ErasMail | 88602a039ae731ca8566c96c7c4d2635f82a07a5 | [
"Apache-2.0"
] | null | null | null | back-end/erasmail/emails/migrations/0038_auto_20210422_0059.py | SamirM-BE/ErasMail | 88602a039ae731ca8566c96c7c4d2635f82a07a5 | [
"Apache-2.0"
] | 5 | 2021-05-07T15:35:25.000Z | 2022-03-21T09:11:24.000Z | # Generated by Django 3.1.6 on 2021-04-22 00:59
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('emails', '0037_remove_emailstats_connected_count'),
]
operations = [
migrations.AddField(
model_name='emailstats',
n... | 28.740741 | 117 | 0.619845 | 683 | 0.880155 | 0 | 0 | 0 | 0 | 0 | 0 | 252 | 0.324742 |
e4705f3acb58336e0e7ad1a046d3910433815d04 | 1,488 | py | Python | worldmap/src/worldmap/model/dtm.py | expertanalytics/fagkveld | 96e16b9610e8b60d36425e7bc5435d266de1f8bf | [
"BSD-2-Clause"
] | null | null | null | worldmap/src/worldmap/model/dtm.py | expertanalytics/fagkveld | 96e16b9610e8b60d36425e7bc5435d266de1f8bf | [
"BSD-2-Clause"
] | null | null | null | worldmap/src/worldmap/model/dtm.py | expertanalytics/fagkveld | 96e16b9610e8b60d36425e7bc5435d266de1f8bf | [
"BSD-2-Clause"
] | null | null | null | """
Data terrain model (DTM).
Examples::
>>> from worldmap import DTM
>>> dtm = DTM()
>>> print(dtm["NOR"])
Location('Norway')
"""
from typing import Dict, List, Tuple, Set, Optional
from bokeh.models import Model
from bokeh.models import ColumnDataSource, Patches, LabelSet
import logging
import num... | 25.220339 | 74 | 0.638441 | 1,008 | 0.677419 | 0 | 0 | 0 | 0 | 0 | 0 | 334 | 0.224462 |
e4710ca29b9a5a6a2747143e02042c64942aa376 | 1,865 | py | Python | src/blockchain/crypto_tools/__init__.py | ParisNeo/blockchain | 8bc2768a3e89088e202ea89e5f301576f6f9d95c | [
"MIT"
] | null | null | null | src/blockchain/crypto_tools/__init__.py | ParisNeo/blockchain | 8bc2768a3e89088e202ea89e5f301576f6f9d95c | [
"MIT"
] | null | null | null | src/blockchain/crypto_tools/__init__.py | ParisNeo/blockchain | 8bc2768a3e89088e202ea89e5f301576f6f9d95c | [
"MIT"
] | null | null | null | """
"""
from Crypto.PublicKey import RSA
from Crypto.Hash import SHA256
from Crypto.Signature import PKCS1_v1_5
from base58 import b58encode, b58decode
# ================= cryptography helpers ======================================
def hash(data):
"""Hash some data
"""
# Hash the stuff we need to hash
... | 26.267606 | 92 | 0.642895 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 788 | 0.42252 |
e472ad25bd9133e0e1fe623219e0826f24f2f7ef | 365 | py | Python | Mandelbrot fractal/visualize.py | TTimerkhanov/parallel_computing | 75c79a4e50ac2f5f9fab90cd79560cd8e848228e | [
"MIT"
] | 8 | 2018-03-21T12:26:44.000Z | 2019-10-05T08:46:20.000Z | Mandelbrot fractal/visualize.py | TTimerkhanov/parallel_computing | 75c79a4e50ac2f5f9fab90cd79560cd8e848228e | [
"MIT"
] | null | null | null | Mandelbrot fractal/visualize.py | TTimerkhanov/parallel_computing | 75c79a4e50ac2f5f9fab90cd79560cd8e848228e | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
def mandelbrot(threshold, density):
atlas = np.empty((density, density))
with open('set', 'r') as f:
for line in f.readlines():
i, j, val = line.split(",")
atlas[int(i), int(j)] = val
plt.imshow(atlas.T, interpolation="ne... | 22.8125 | 48 | 0.60274 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0.054795 |
e472f3485c0e5680d2198a1ae932c5d7712b5057 | 19,303 | py | Python | tools/unit_tests/test_config_transforms.py | dice-project/DICE-deployment-service | e209c6a061a78f170e81cfc03d2959af0283ed15 | [
"Apache-2.0"
] | 2 | 2018-04-03T20:45:26.000Z | 2022-02-07T19:53:42.000Z | tools/unit_tests/test_config_transforms.py | dice-project/DICE-deployment-service | e209c6a061a78f170e81cfc03d2959af0283ed15 | [
"Apache-2.0"
] | 3 | 2016-11-15T10:41:43.000Z | 2020-03-16T07:49:03.000Z | tools/unit_tests/test_config_transforms.py | dice-project/DICE-deployment-service | e209c6a061a78f170e81cfc03d2959af0283ed15 | [
"Apache-2.0"
] | 2 | 2018-07-04T11:37:12.000Z | 2022-02-07T19:53:43.000Z | import unittest
import copy
import os
import tempfile
from config_tool.utils import *
class TestConfigurationTransformation(unittest.TestCase):
@classmethod
def setUpClass(cls):
base_path = os.path.dirname(os.path.realpath(__file__))
file_path = os.path.join(base_path, 'files')
def f... | 38.528942 | 80 | 0.600425 | 19,165 | 0.992851 | 0 | 0 | 850 | 0.044035 | 0 | 0 | 8,277 | 0.428793 |
e47311462a03c6a7eb9b40addcc16befdf99f631 | 2,133 | py | Python | code/venv/lib/python3.8/site-packages/datadog_api_client/v2/model/permission_attributes.py | Valisback/hiring-engineers | 7196915dd5a429ae27c21fa43d527f0332e662ed | [
"Apache-2.0"
] | null | null | null | code/venv/lib/python3.8/site-packages/datadog_api_client/v2/model/permission_attributes.py | Valisback/hiring-engineers | 7196915dd5a429ae27c21fa43d527f0332e662ed | [
"Apache-2.0"
] | null | null | null | code/venv/lib/python3.8/site-packages/datadog_api_client/v2/model/permission_attributes.py | Valisback/hiring-engineers | 7196915dd5a429ae27c21fa43d527f0332e662ed | [
"Apache-2.0"
] | null | null | null | # Unless explicitly stated otherwise all files in this repository are licensed under the Apache-2.0 License.
# This product includes software developed at Datadog (https://www.datadoghq.com/).
# Copyright 2019-Present Datadog, Inc.
from datadog_api_client.v2.model_utils import (
ModelNormal,
cached_property,
... | 30.042254 | 108 | 0.61369 | 1,794 | 0.841069 | 0 | 0 | 565 | 0.264885 | 0 | 0 | 1,254 | 0.587904 |
e4751dd89498b1da7109ee5f07994f5fbd04447a | 95 | py | Python | vulture/whitelists/logging_whitelist.py | kianmeng/vulture | b8cbc44dac89b2a96f6da7033424f52525d6f574 | [
"MIT"
] | 2,081 | 2017-03-06T14:45:21.000Z | 2022-03-31T13:29:34.000Z | vulture/whitelists/logging_whitelist.py | kianmeng/vulture | b8cbc44dac89b2a96f6da7033424f52525d6f574 | [
"MIT"
] | 248 | 2017-03-06T12:13:37.000Z | 2022-03-15T11:21:27.000Z | vulture/whitelists/logging_whitelist.py | kianmeng/vulture | b8cbc44dac89b2a96f6da7033424f52525d6f574 | [
"MIT"
] | 111 | 2017-03-06T20:48:04.000Z | 2022-03-17T09:49:32.000Z | import logging
logging.Filter.filter
logging.getLogger().propagate
logging.StreamHandler.emit
| 15.833333 | 29 | 0.852632 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e479315b2fec6b1b30374526a8f3ec4a57556364 | 536 | py | Python | tests/test_set_key.py | GustavoKatel/pushbullet-cli | e5102772752a97db539594b0d50b5effb36a22e2 | [
"MIT"
] | 176 | 2017-01-30T16:21:48.000Z | 2022-02-10T05:32:57.000Z | tests/test_set_key.py | GustavoKatel/pushbullet-cli | e5102772752a97db539594b0d50b5effb36a22e2 | [
"MIT"
] | 49 | 2017-01-21T20:27:03.000Z | 2022-01-16T02:57:51.000Z | tests/test_set_key.py | GustavoKatel/pushbullet-cli | e5102772752a97db539594b0d50b5effb36a22e2 | [
"MIT"
] | 21 | 2017-01-26T06:08:54.000Z | 2022-01-04T19:53:25.000Z | import platform
import pytest
@pytest.mark.skipif(
platform.system() == "Windows", reason="cannot test this on windows"
)
def test_set_key(set_key, pb_api, mocker):
import keyring
import getpass
import six
prev_token = six.text_type(keyring.get_password("pushbullet", "cli"))
try:
moc... | 25.52381 | 73 | 0.673507 | 0 | 0 | 0 | 0 | 502 | 0.936567 | 0 | 0 | 108 | 0.201493 |
e4797fdc0550e8c83ce7e94b28483dfdbf77d5d3 | 344 | py | Python | 02. Programacion estructurada/05. datos tupla/e1.py | Cidryl/python-desde-cero | fade09d13ab0ed0cbb4f45a49a4ad9e3980f3276 | [
"MIT"
] | null | null | null | 02. Programacion estructurada/05. datos tupla/e1.py | Cidryl/python-desde-cero | fade09d13ab0ed0cbb4f45a49a4ad9e3980f3276 | [
"MIT"
] | null | null | null | 02. Programacion estructurada/05. datos tupla/e1.py | Cidryl/python-desde-cero | fade09d13ab0ed0cbb4f45a49a4ad9e3980f3276 | [
"MIT"
] | null | null | null | def cargar_fecha():
dd=int(input("Ingrese numero de dia:"))
mm=int(input("Ingrese numero de mes:"))
aa=int(input("Ingrese numero de año:"))
tupla = (dd,mm,aa)
return tupla
def imprimir_fecha(fecha):
print(fecha[0],fecha[1],fecha[2],sep="/")
# bloque principal
fecha=cargar_fecha(... | 22.933333 | 46 | 0.639535 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 0.275362 |
e47c17dddcd00889d223b3d8fce4a9d9c3d285a3 | 356 | py | Python | doingmathwithpython/ch03.py | andyliumathematics/mlnotes | 7b7a1c37d7660bdf9144c59693719033080d654b | [
"Apache-2.0"
] | null | null | null | doingmathwithpython/ch03.py | andyliumathematics/mlnotes | 7b7a1c37d7660bdf9144c59693719033080d654b | [
"Apache-2.0"
] | null | null | null | doingmathwithpython/ch03.py | andyliumathematics/mlnotes | 7b7a1c37d7660bdf9144c59693719033080d654b | [
"Apache-2.0"
] | null | null | null | # %%
l = [38,32,49,15,806,806]
sum(l)
# %%
len(l)
# %%
sum(l)//len(l)
# %%
l.sort()
# %%
l
# %%
# %%
l.most_common(1)
# %%
'''
求众数：出现频率最高的数据
'''
from collections import Counter
l = ['38','32','49','15','806','806']
c = Counter(l)
print(c.most_common()[0][0])
print(c.most_common(1))
print(c.most_common(2))
# %%
c.m... | 11.483871 | 37 | 0.530899 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 121 | 0.316754 |
e4813380bf2daa72d111c3321e1a0890661d1b92 | 5,475 | py | Python | CodedCaching/Network.py | qizhu8/CodedCachingSim | 84e8f1e58e1c431ee4916525487d4b28f92e629b | [
"MIT"
] | null | null | null | CodedCaching/Network.py | qizhu8/CodedCachingSim | 84e8f1e58e1c431ee4916525487d4b28f92e629b | [
"MIT"
] | null | null | null | CodedCaching/Network.py | qizhu8/CodedCachingSim | 84e8f1e58e1c431ee4916525487d4b28f92e629b | [
"MIT"
] | null | null | null | """
Network class is in charge of:
1. Storing M - User Cache Size, N - Number of Files, K - Number of Users
2. Storing User instances, Server instance, and attacker instance
"""
import numpy as np
from scipy import special
import itertools
from Server import Server
from User import User
from tabulate import tabulate
... | 36.993243 | 140 | 0.592146 | 3,898 | 0.711963 | 352 | 0.064292 | 0 | 0 | 0 | 0 | 1,072 | 0.195799 |
e4832a86e7db8f21257aa59834d215a8144ccb1f | 23 | py | Python | protonets/data/__init__.py | sripathisridhar/prototypical-networks | 02a1379dceea896e23ecf21384d4a6ee2393f38c | [
"MIT"
] | 889 | 2017-11-12T22:04:25.000Z | 2022-03-31T09:42:13.000Z | protonets/data/__init__.py | Harzva/prototypical-networks | c9bb4d258267c11cb6e23f0a19242d24ca98ad8a | [
"MIT"
] | 24 | 2017-12-06T19:28:23.000Z | 2021-11-27T11:35:53.000Z | protonets/data/__init__.py | Harzva/prototypical-networks | c9bb4d258267c11cb6e23f0a19242d24ca98ad8a | [
"MIT"
] | 240 | 2017-11-12T22:04:28.000Z | 2022-03-26T09:25:42.000Z | from . import omniglot
| 11.5 | 22 | 0.782609 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e483e0a6252d9a8ff4f77f42bb3708e55acf3498 | 330 | py | Python | flask/part3_templates/ex3-app/students2.py | macloo/python-beginners | 1124922cd57d3f647eacafa0b82948587514d4bd | [
"MIT"
] | 42 | 2018-03-25T22:41:57.000Z | 2022-01-08T21:23:02.000Z | flask/part3_templates/ex3-app/students2.py | pavanpatil45/python-beginners | 1124922cd57d3f647eacafa0b82948587514d4bd | [
"MIT"
] | null | null | null | flask/part3_templates/ex3-app/students2.py | pavanpatil45/python-beginners | 1124922cd57d3f647eacafa0b82948587514d4bd | [
"MIT"
] | 17 | 2018-03-20T00:56:57.000Z | 2022-01-12T06:36:18.000Z | # two templates are used in this app
from flask import Flask, render_template
app = Flask(__name__)
@app.route('/')
def index():
return render_template('index.html')
@app.route('/student/<idnum>')
def student(idnum):
return render_template('student.html', id=idnum)
if __name__ == '__main__':
app.run(de... | 20.625 | 52 | 0.70303 | 0 | 0 | 0 | 0 | 172 | 0.521212 | 0 | 0 | 94 | 0.284848 |
e4884423f1f3c28f1f01d03c9e676127547b57c0 | 250 | py | Python | docs/autodoc_example.py | aio-libs/sphinxcontrib-asyncio | dbfa79e29980e73ad2dd9dec59f1238b1a8a7cd7 | [
"Apache-2.0"
] | 19 | 2016-02-21T13:27:43.000Z | 2020-02-19T17:22:38.000Z | docs/autodoc_example.py | aio-libs/sphinxcontrib-asyncio | dbfa79e29980e73ad2dd9dec59f1238b1a8a7cd7 | [
"Apache-2.0"
] | 9 | 2016-04-15T08:43:39.000Z | 2022-01-06T10:43:08.000Z | docs/autodoc_example.py | aio-libs/sphinxcontrib-asyncio | dbfa79e29980e73ad2dd9dec59f1238b1a8a7cd7 | [
"Apache-2.0"
] | 6 | 2016-04-11T07:32:41.000Z | 2019-09-28T10:59:51.000Z | import asyncio
class MyClass:
def my_func(self):
""" Normal function """
@asyncio.coroutine
def my_coro(self):
""" This is my coroutine """
@asyncio.coroutine
def coro(param):
""" Module level async function """
| 14.705882 | 39 | 0.608 | 154 | 0.616 | 0 | 0 | 153 | 0.612 | 0 | 0 | 86 | 0.344 |
e488e12d7b940dac3d9db3e9a5b2cb31258d0310 | 25,266 | py | Python | test/recipe/test_edit_recipe.py | fredsonchaves07/foodfy | 5bff04434749f369f982090b00590cca31fce186 | [
"MIT"
] | null | null | null | test/recipe/test_edit_recipe.py | fredsonchaves07/foodfy | 5bff04434749f369f982090b00590cca31fce186 | [
"MIT"
] | 141 | 2021-03-03T01:38:10.000Z | 2022-01-16T15:42:02.000Z | test/recipe/test_edit_recipe.py | fredsonchaves07/foodfy | 5bff04434749f369f982090b00590cca31fce186 | [
"MIT"
] | null | null | null | import json
from io import BytesIO
from app.ext.api.exceptions import (
ChefNotFound,
InvalidToken,
MaximumImageCapacityError,
OperationNotAllowed,
RecipeWithoutIngredient,
RecipeWithoutPreparationMode,
)
from app.ext.api.services import token_services
def test_edit_recipe(client, admin_user)... | 28.48478 | 87 | 0.566097 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8,469 | 0.335008 |
e4892ccb409c7b541cbd948a9e9898c388a282c5 | 521 | py | Python | survey/migrations/0018_auto_20161128_0936.py | watchdogpolska/ankieta-rodzic-po-ludzku-nfz | 68b1d1ccac969ca51416761d1168678effb1e6c6 | [
"MIT"
] | null | null | null | survey/migrations/0018_auto_20161128_0936.py | watchdogpolska/ankieta-rodzic-po-ludzku-nfz | 68b1d1ccac969ca51416761d1168678effb1e6c6 | [
"MIT"
] | null | null | null | survey/migrations/0018_auto_20161128_0936.py | watchdogpolska/ankieta-rodzic-po-ludzku-nfz | 68b1d1ccac969ca51416761d1168678effb1e6c6 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10.3 on 2016-11-28 09:36
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('survey', '0017_auto_20161128_0242'),
]
operations = [
migrations.AlterField... | 24.809524 | 122 | 0.610365 | 363 | 0.696737 | 0 | 0 | 0 | 0 | 0 | 0 | 161 | 0.309021 |
e48a824fae829e3008efd9a9fbcb0f03d3adc45f | 90 | py | Python | tests/__init__.py | slinksoft/PathExactDelayPrototype | 633576cfe031e8ee884daaa453a3e5d206eaeaa9 | [
"MIT"
] | null | null | null | tests/__init__.py | slinksoft/PathExactDelayPrototype | 633576cfe031e8ee884daaa453a3e5d206eaeaa9 | [
"MIT"
] | null | null | null | tests/__init__.py | slinksoft/PathExactDelayPrototype | 633576cfe031e8ee884daaa453a3e5d206eaeaa9 | [
"MIT"
] | null | null | null | import os
import sys
from pathlib import Path
sys.path.insert(0, 'exactdelaypathfinder')
| 15 | 42 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0.244444 |
e48ba9fc67c09776260edc71cd67600e98eb63a9 | 1,885 | py | Python | 2017/day07/code.py | Fadi88/AoC | 8b24f2f2cc7b4e1c63758e81e63d8670a261cc7c | [
"Unlicense"
] | 12 | 2019-12-15T21:53:19.000Z | 2021-12-24T17:03:41.000Z | 2017/day07/code.py | Fadi88/adventofcode19 | dd2456bdd163beb02dbfe9dcea2b021061c7671e | [
"Unlicense"
] | 1 | 2021-12-15T20:40:51.000Z | 2021-12-15T22:19:48.000Z | 2017/day07/code.py | Fadi88/adventofcode19 | dd2456bdd163beb02dbfe9dcea2b021061c7671e | [
"Unlicense"
] | 5 | 2020-12-11T06:00:24.000Z | 2021-12-20T21:37:46.000Z | import time
from collections import defaultdict
def profiler(method):
def wrapper_method(*arg, **kw):
t = time.time()
method(*arg, **kw)
print('Method ' + method.__name__ + ' took : ' +
"{:2.5f}".format(time.time()-t) + ' sec')
return wrapper_method
@profiler
def part1(... | 22.176471 | 83 | 0.490716 | 0 | 0 | 0 | 0 | 1,295 | 0.687003 | 0 | 0 | 90 | 0.047745 |
e48e53ba04ff99bdd6227e182235f811ae1dc4ee | 403 | py | Python | src/microbit/spi-tof-master.py | romilly/multi-VL53L0X | 80cf0d82d93ceae9c54acb967c24a1bf8deb5e3a | [
"MIT"
] | null | null | null | src/microbit/spi-tof-master.py | romilly/multi-VL53L0X | 80cf0d82d93ceae9c54acb967c24a1bf8deb5e3a | [
"MIT"
] | null | null | null | src/microbit/spi-tof-master.py | romilly/multi-VL53L0X | 80cf0d82d93ceae9c54acb967c24a1bf8deb5e3a | [
"MIT"
] | null | null | null | from microbit import *
import struct
from time import sleep
SENSORS = 2
def spi_read(sensor):
pin16.write_digital(0) # Chip select
ibuffer = struct.pack('<B', sensor)
spi.write(ibuffer)
result = spi.read(1)
pin16.write_digital(1) # Chip select off
return result
spi.init(baudrate=100000)
whi... | 21.210526 | 45 | 0.652605 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 34 | 0.084367 |
e48f98c85bda6baa0cc86d71b689b55e8122a390 | 16,653 | py | Python | hasher-matcher-actioner/hmalib/models.py | isabella232/ThreatExchange | 0d07a800bbf25d8541f40b828e2dfd377395af9b | [
"BSD-3-Clause"
] | null | null | null | hasher-matcher-actioner/hmalib/models.py | isabella232/ThreatExchange | 0d07a800bbf25d8541f40b828e2dfd377395af9b | [
"BSD-3-Clause"
] | 1 | 2021-04-19T10:20:43.000Z | 2021-04-19T10:20:43.000Z | hasher-matcher-actioner/hmalib/models.py | isabella232/ThreatExchange | 0d07a800bbf25d8541f40b828e2dfd377395af9b | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import datetime
import typing as t
import json
from dataclasses import dataclass, field
from mypy_boto3_dynamodb.service_resource import Table
from boto3.dynamodb.conditions import Attr, Key
"""
Data transfer object classes to be used with dynamod... | 32.273256 | 110 | 0.623311 | 16,098 | 0.966673 | 0 | 0 | 15,428 | 0.92644 | 0 | 0 | 4,336 | 0.260374 |
e48fad25c05c483e3b144a00ff76a128d96f4a18 | 89 | py | Python | colossalai/utils/commons/__init__.py | mrriteshranjan/ColossalAI | 0d057a1bae67b915a385be7edab7da83413cb645 | [
"Apache-2.0"
] | null | null | null | colossalai/utils/commons/__init__.py | mrriteshranjan/ColossalAI | 0d057a1bae67b915a385be7edab7da83413cb645 | [
"Apache-2.0"
] | null | null | null | colossalai/utils/commons/__init__.py | mrriteshranjan/ColossalAI | 0d057a1bae67b915a385be7edab7da83413cb645 | [
"Apache-2.0"
] | null | null | null | from .bucket_tensor_copy import BucketizedTensorCopy
__all__ = ['BucketizedTensorCopy']
| 22.25 | 52 | 0.842697 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0.247191 |
e49334330d41dc2dca73dcd98740a04934ce3d79 | 83 | py | Python | DRF-React/appy/apps.py | Preet538-neitzen/LOC-Hackathon | e7bad458ef0069becdba42576f5fe1bfd736678b | [
"MIT"
] | null | null | null | DRF-React/appy/apps.py | Preet538-neitzen/LOC-Hackathon | e7bad458ef0069becdba42576f5fe1bfd736678b | [
"MIT"
] | 8 | 2021-03-19T13:44:46.000Z | 2022-03-12T00:55:03.000Z | DRF-React/appy/apps.py | Preet538-neitzen/LOC-Hackathon | e7bad458ef0069becdba42576f5fe1bfd736678b | [
"MIT"
] | 1 | 2021-02-13T00:16:36.000Z | 2021-02-13T00:16:36.000Z | from django.apps import AppConfig
class AppyConfig(AppConfig):
name = 'appy'
| 13.833333 | 33 | 0.73494 | 46 | 0.554217 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0.072289 |
e494747ad6589e1234241f26ac62dacfe6cecd8c | 998 | py | Python | test/test_truss.py | deeepeshthakur/ddtruss | 86aa945d577c6efe752099eee579386762942289 | [
"MIT"
] | 1 | 2020-01-27T12:03:47.000Z | 2020-01-27T12:03:47.000Z | test/test_truss.py | deeepeshthakur/ddtruss | 86aa945d577c6efe752099eee579386762942289 | [
"MIT"
] | null | null | null | test/test_truss.py | deeepeshthakur/ddtruss | 86aa945d577c6efe752099eee579386762942289 | [
"MIT"
] | null | null | null | import numpy as np
import pytest
from ddtruss import Truss, DataDrivenSolver
points = np.array([[0, 0], [1, 0], [0.5, 0.5], [2, 1]])
lines = np.array([[0, 2], [1, 2], [1, 3], [2, 3]], dtype=int)
truss = Truss(points, lines)
E = 1.962e11
A = [2e-4, 2e-4, 1e-4, 1e-4]
U_dict = {0: [0, 0], 1: [0, 0]}
F_dict = {3: [0, -... | 24.95 | 77 | 0.621242 | 0 | 0 | 0 | 0 | 450 | 0.450902 | 0 | 0 | 8 | 0.008016 |
e494dbf6ede35cd65a3c40c381a319f33cf3e78d | 2,563 | py | Python | app/models.py | MilanMathew/machine_test_focaloid | fa179e655c531825167e97aed4e2d6affea9c736 | [
"MIT"
] | null | null | null | app/models.py | MilanMathew/machine_test_focaloid | fa179e655c531825167e97aed4e2d6affea9c736 | [
"MIT"
] | null | null | null | app/models.py | MilanMathew/machine_test_focaloid | fa179e655c531825167e97aed4e2d6affea9c736 | [
"MIT"
] | null | null | null | from datetime import datetime
from app import db
class City(db.Model):
__tablename__ = 'Cities'
__table_args__ = {'sqlite_autoincrement': True}
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String(50), index=True)
class Venue(db.Model):
__tablename__ = 'Venues'
__table_arg... | 37.144928 | 71 | 0.684354 | 2,497 | 0.974249 | 0 | 0 | 0 | 0 | 0 | 0 | 448 | 0.174795 |
e49516ca8ad700f85017d9325736d77d5ccd8a3d | 2,326 | py | Python | PTO-yelp/Modules/attention_classifier.py | LegendTianjin/Point-Then-Operate | a6b0818343bc34c468738ab91ecea89dd03a9535 | [
"Apache-2.0"
] | 50 | 2019-06-06T05:30:32.000Z | 2021-11-18T07:24:36.000Z | PTO-yelp/Modules/attention_classifier.py | lancopku/Point-Then-Operate | 1c04ec326b52fc65f97f5610a6f16f6e938d583e | [
"Apache-2.0"
] | 2 | 2019-08-30T09:49:26.000Z | 2020-01-17T04:20:53.000Z | PTO-yelp/Modules/attention_classifier.py | ChenWu98/Point-Then-Operate | a6b0818343bc34c468738ab91ecea89dd03a9535 | [
"Apache-2.0"
] | 7 | 2019-06-17T06:20:47.000Z | 2020-10-26T03:19:44.000Z | import os
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from utils.utils import gpu_wrapper
from Modules.subModules.attention import AttentionUnit
from torch.nn.utils.rnn import pack_padded_sequence as pack
from torch.nn.utils.rnn import pad_pa... | 41.535714 | 136 | 0.564488 | 1,979 | 0.850817 | 0 | 0 | 0 | 0 | 0 | 0 | 376 | 0.161651 |
e4954716a9c58078b2bd1d9c30cda00cbdaf306f | 122 | py | Python | training/continueLearning.py | dwright37/generative-concatenative-image-captioner | 2bb257d4791e362e42a30bf0e4ca32e84f80d942 | [
"MIT"
] | null | null | null | training/continueLearning.py | dwright37/generative-concatenative-image-captioner | 2bb257d4791e362e42a30bf0e4ca32e84f80d942 | [
"MIT"
] | null | null | null | training/continueLearning.py | dwright37/generative-concatenative-image-captioner | 2bb257d4791e362e42a30bf0e4ca32e84f80d942 | [
"MIT"
] | null | null | null | def continueLearning(losses):
improving = losses[0] < losses[1] or losses[1] < losses[2]
return improving
| 30.5 | 66 | 0.647541 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e4954d56f09841ccf54e7784967df8b418345b0e | 569 | py | Python | minion/parser.py | timofurrer/minion-ci | 411d0ea6638fb37d7e170cc8c8c5815304cc9f5c | [
"MIT"
] | 49 | 2016-03-07T06:42:40.000Z | 2021-03-06T02:43:02.000Z | minion/parser.py | timofurrer/minion-ci | 411d0ea6638fb37d7e170cc8c8c5815304cc9f5c | [
"MIT"
] | 16 | 2016-03-08T07:20:52.000Z | 2017-04-21T18:15:12.000Z | minion/parser.py | timofurrer/minion-ci | 411d0ea6638fb37d7e170cc8c8c5815304cc9f5c | [
"MIT"
] | 9 | 2016-03-29T22:08:52.000Z | 2021-06-16T16:29:30.000Z | """
`minion-ci` is a minimalist, decentralized, flexible Continuous Integration Server for hackers.
This module contains the parser to parse the `minion.yml` file.
:copyright: (c) by Timo Furrer
:license: MIT, see LICENSE for details
"""
import yaml
from .errors import MinionError
def parse(path):... | 24.73913 | 99 | 0.681898 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 339 | 0.595782 |
e4966893077ea1b5b172e99b11516e9d34d31ec5 | 585 | py | Python | Python/problem0852.py | 1050669722/LeetCode-Answers | c8f4d1ccaac09cda63b60d75144335347b06dc81 | [
"MIT"
] | null | null | null | Python/problem0852.py | 1050669722/LeetCode-Answers | c8f4d1ccaac09cda63b60d75144335347b06dc81 | [
"MIT"
] | null | null | null | Python/problem0852.py | 1050669722/LeetCode-Answers | c8f4d1ccaac09cda63b60d75144335347b06dc81 | [
"MIT"
] | null | null | null | class Solution:
def peakIndexInMountainArray(self, A: List[int]) -> int:
if not A:
return None
#前向差分
for k in range(1, len(A)-1):
if A[k-1]<A[k] and A[k]>A[k+1]:
return k
return None
#最大值
return A.index(max(A))
... | 20.892857 | 60 | 0.362393 | 604 | 0.995058 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 0.059308 |
e49a3917364c39b81a8dd470087dc69990edf5b7 | 1,431 | py | Python | finace/utils/rong_city.py | pythonyhd/finace | 614d98ad92e1bbaa6cf7dc1d6dfaba4f24431688 | [
"Apache-2.0"
] | 1 | 2020-08-18T01:55:14.000Z | 2020-08-18T01:55:14.000Z | finace/utils/rong_city.py | pythonyhd/finace | 614d98ad92e1bbaa6cf7dc1d6dfaba4f24431688 | [
"Apache-2.0"
] | null | null | null | finace/utils/rong_city.py | pythonyhd/finace | 614d98ad92e1bbaa6cf7dc1d6dfaba4f24431688 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from pymongo import MongoClient
from finace import settings
class SpiderCity(object):
"""获取所有城市列表"""
def __init__(self, ip=settings.MONGODB_HOST, port=settings.MONGODB_PORT, db_name=settings.MONGO_DATA_BASE,
user=settings.MONGO_USER, password=settings.MONGO_PWD):
... | 26.018182 | 110 | 0.583508 | 1,353 | 0.876863 | 0 | 0 | 0 | 0 | 0 | 0 | 428 | 0.277382 |
e49b044e4f3bdfef09e6426d0ff3c5f755aa63ae | 1,464 | py | Python | bufflog/bufflog.py | bufferapp/python-bufflog | 12d218dfb917419789c720fb1851a35708909810 | [
"MIT"
] | null | null | null | bufflog/bufflog.py | bufferapp/python-bufflog | 12d218dfb917419789c720fb1851a35708909810 | [
"MIT"
] | null | null | null | bufflog/bufflog.py | bufferapp/python-bufflog | 12d218dfb917419789c720fb1851a35708909810 | [
"MIT"
] | 1 | 2021-02-08T12:53:43.000Z | 2021-02-08T12:53:43.000Z | import structlog
import logging
import sys
import os
from structlog.processors import JSONRenderer
from structlog.stdlib import filter_by_level
from structlog.stdlib import add_log_level_number
from .datadog import tracer_injection
def rename_message_key(_, __, event_dict):
event_dict["message"] = event_dict["e... | 24.4 | 57 | 0.705601 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 88 | 0.060109 |
e49cb572bd1c712b03397fca3826c3ed98801ce6 | 990 | py | Python | templator.py | daren-thomas/template-system-example | 248d2f78392be826f3223ee27e90c82feb70a17a | [
"MIT"
] | null | null | null | templator.py | daren-thomas/template-system-example | 248d2f78392be826f3223ee27e90c82feb70a17a | [
"MIT"
] | null | null | null | templator.py | daren-thomas/template-system-example | 248d2f78392be826f3223ee27e90c82feb70a17a | [
"MIT"
] | null | null | null | """
templator.py reads in an excel file and a template and outputs a file for each row
in the excel file, by substituting the template variables with the values in the columns.
This technique uses pandas to read the excel file into a DataFrame and the python format operator ``%```
to apply the values.
"""
import sys
... | 34.137931 | 104 | 0.706061 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 477 | 0.481818 |
e4a25083351a643d4c8f2b90bb9ef5552f4ba55d | 483 | py | Python | src/stackoverflow/56339991/tests.py | mrdulin/python-codelab | 3d960a14a96b3a673b7dc2277d202069b1f8e778 | [
"MIT"
] | null | null | null | src/stackoverflow/56339991/tests.py | mrdulin/python-codelab | 3d960a14a96b3a673b7dc2277d202069b1f8e778 | [
"MIT"
] | null | null | null | src/stackoverflow/56339991/tests.py | mrdulin/python-codelab | 3d960a14a96b3a673b7dc2277d202069b1f8e778 | [
"MIT"
] | 3 | 2020-02-19T08:02:04.000Z | 2021-06-08T13:27:51.000Z | import unittest
from test_base import TestBaseImporter
from test_child import TestChildImporter
if __name__ == '__main__':
test_loader = unittest.TestLoader()
test_classes_to_run = [TestBaseImporter, TestChildImporter]
suites_list = []
for test_class in test_classes_to_run:
suite = test_loader... | 30.1875 | 63 | 0.766046 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.020704 |
e4a318b6cae44face6ae5927fa38829adbecfa61 | 1,015 | py | Python | src/mains/test_tf.py | JungleEngine/Intelligent_Frame_Skipping_Network | 8178acfe06e112f5d33acbd17ad33239a6c4afc2 | [
"MIT"
] | null | null | null | src/mains/test_tf.py | JungleEngine/Intelligent_Frame_Skipping_Network | 8178acfe06e112f5d33acbd17ad33239a6c4afc2 | [
"MIT"
] | null | null | null | src/mains/test_tf.py | JungleEngine/Intelligent_Frame_Skipping_Network | 8178acfe06e112f5d33acbd17ad33239a6c4afc2 | [
"MIT"
] | null | null | null | # import tensorflow as tf
# print(tf.__version__)
#
#
# with tf.name_scope('scalar_set_one') as scope:
# tf_constant_one = tf.constant(10, name="ten")
# tf_constant_two = tf.constant(20, name="twenty")
# scalar_sum_one = tf.add(tf_constant_one, tf_constant_two, name="scalar_ten_plus_twenty")
#
#
#
# with tf... | 27.432432 | 100 | 0.719212 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 832 | 0.819704 |
e4a3bd3abdfaed582c987ca4af954c061d659067 | 24,952 | py | Python | src/menus/user/Menu.py | stregea/TransactionTrackr | c38b99d56816becaa47a21400fb20c615d3483ef | [
"MIT"
] | 2 | 2021-07-02T19:49:24.000Z | 2021-07-08T02:59:25.000Z | src/menus/user/Menu.py | stregea/TransactionTrackr | c38b99d56816becaa47a21400fb20c615d3483ef | [
"MIT"
] | null | null | null | src/menus/user/Menu.py | stregea/TransactionTrackr | c38b99d56816becaa47a21400fb20c615d3483ef | [
"MIT"
] | null | null | null | from objects.user.User import User
from objects.interface.dbconn import DB
from objects.user.Currency import get_currency_symbol
from objects.threads.UploadThread import UploadThread
import utils.globals as _globals
from utils.print import print_message, print_error
from utils.enums import Months, SettingsSelection, is... | 42.726027 | 142 | 0.631412 | 14,791 | 0.592778 | 0 | 0 | 0 | 0 | 0 | 0 | 9,555 | 0.382935 |
e4a69e3428e588c7d00739ddb17751edb51f6451 | 1,717 | py | Python | website/CookieHelper.py | sousic/flask.huny.kr | 53a8f5af1fa63b290a4e97278a86328758e97d43 | [
"MIT"
] | null | null | null | website/CookieHelper.py | sousic/flask.huny.kr | 53a8f5af1fa63b290a4e97278a86328758e97d43 | [
"MIT"
] | null | null | null | website/CookieHelper.py | sousic/flask.huny.kr | 53a8f5af1fa63b290a4e97278a86328758e97d43 | [
"MIT"
] | null | null | null | # -*- coding: UTF-8 -*-
import base64
from functools import wraps
import pyaes
from flask import request
from werkzeug.utils import redirect
from website.domain.UserVO import UserVO
class CookieHelper(object):
def init_app(self, app):
self.app = app
self.app.cookie_helper = self
def SetCook... | 28.616667 | 90 | 0.594059 | 1,569 | 0.894017 | 0 | 0 | 204 | 0.116239 | 0 | 0 | 153 | 0.087179 |
e4a6e1bb797c7875ed388c77bf15d0c26b3189cb | 3,652 | py | Python | export_resized_ios_assets.py | Tubbebubbe/gimp-plugins | 11221ded072d8d3001202f30fda266e0cccd3a36 | [
"MIT"
] | 4 | 2016-08-03T18:20:59.000Z | 2020-05-24T04:38:47.000Z | export_resized_ios_assets.py | Tubbebubbe/gimp-plugins | 11221ded072d8d3001202f30fda266e0cccd3a36 | [
"MIT"
] | null | null | null | export_resized_ios_assets.py | Tubbebubbe/gimp-plugins | 11221ded072d8d3001202f30fda266e0cccd3a36 | [
"MIT"
] | 2 | 2017-10-23T08:23:36.000Z | 2020-05-24T04:38:57.000Z | #!/usr/bin/env python
"""
export_resized_ios_images
Gimp plugin to export image to icon files usable on iOS.
Author:
-------
Tobias Blom, Techne Development AB <tobias.blom@techne-dev.se>
Installation:
-------------
Under Mac OS X, copy this file to ~/Library/Application Support/GIMP/x.x/plug-ins and
make it exec... | 33.504587 | 85 | 0.659639 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,563 | 0.701807 |
e4a86bcd74faf3a16d79362c4832a1d23917c50f | 3,696 | py | Python | SortingComparison.py | kogol99/MSiD | bbe0ee535f785476a3fe75f0654f496c185565e4 | [
"MIT"
] | null | null | null | SortingComparison.py | kogol99/MSiD | bbe0ee535f785476a3fe75f0654f496c185565e4 | [
"MIT"
] | 10 | 2020-03-15T20:17:04.000Z | 2020-06-05T01:58:35.000Z | SortingComparison.py | kogol99/MSiD | bbe0ee535f785476a3fe75f0654f496c185565e4 | [
"MIT"
] | 37 | 2020-03-15T17:30:40.000Z | 2020-04-11T20:16:28.000Z | from timeit import default_timer as timer
import random
def insertion_sort(list_to_sort):
for step in range(1, len(list_to_sort)):
key = list_to_sort[step]
j = step - 1
while j >= 0 and list_to_sort[j] > key:
list_to_sort[j + 1] = list_to_sort[j]
j -= 1
list... | 33.297297 | 103 | 0.619048 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 133 | 0.035985 |
e4a93421928eb84ea60e2492daf9f320c6c9d564 | 8,417 | py | Python | site/office/compline.py | scottBowles/dailyoffice2019 | ca750ac77316d247ca7a7a820e085f9968fbc8ff | [
"MIT"
] | 19 | 2020-01-12T23:57:22.000Z | 2022-03-30T16:35:17.000Z | site/office/compline.py | scottBowles/dailyoffice2019 | ca750ac77316d247ca7a7a820e085f9968fbc8ff | [
"MIT"
] | 59 | 2020-01-13T00:45:27.000Z | 2022-02-20T04:10:05.000Z | site/office/compline.py | scottBowles/dailyoffice2019 | ca750ac77316d247ca7a7a820e085f9968fbc8ff | [
"MIT"
] | 7 | 2020-01-21T21:12:03.000Z | 2021-10-24T01:15:50.000Z | import datetime
from django.utils.functional import cached_property
from django.utils.safestring import mark_safe
from office.offices import Office, OfficeSection
from psalter.utils import get_psalms
class Compline(Office):
name = "Compline"
office = "compline"
def __init__(self, *args, **kwargs):
... | 43.386598 | 345 | 0.640489 | 8,186 | 0.972094 | 0 | 0 | 2,482 | 0.294739 | 0 | 0 | 3,674 | 0.43629 |
e4a98810c99783995caf35d9ff70ccf375552008 | 1,735 | py | Python | src/tide_constituents/water_level_prediction.py | slawler/SI_2019_Coastal | 4064d323bc62ce2f47a7af41b9a11ea5538ad181 | [
"MIT"
] | 1 | 2020-03-13T07:51:44.000Z | 2020-03-13T07:51:44.000Z | src/tide_constituents/water_level_prediction.py | cheginit/SI_2019_Coastal | 4064d323bc62ce2f47a7af41b9a11ea5538ad181 | [
"MIT"
] | null | null | null | src/tide_constituents/water_level_prediction.py | cheginit/SI_2019_Coastal | 4064d323bc62ce2f47a7af41b9a11ea5538ad181 | [
"MIT"
] | 1 | 2020-03-13T14:44:57.000Z | 2020-03-13T14:44:57.000Z | import tide_constituents as tc
from py_noaa import coops
import pandas as pd
import numpy as np
import tappy
start = '20180201'
end = '20180228'
interval = 1
start = pd.to_datetime(start)
end = pd.to_datetime(end)
d = start
w, t, p, r = [], [], [], []
while d < end:
start_ = d
end_ = start_ + pd.DateOffs... | 30.438596 | 93 | 0.663977 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 182 | 0.104899 |
e4ab8e400d3a8428f396d10f517cf745bdb624df | 24,862 | py | Python | sdk/python/pulumi_azure/cosmosdb/cassandra_table.py | henriktao/pulumi-azure | f1cbcf100b42b916da36d8fe28be3a159abaf022 | [
"ECL-2.0",
"Apache-2.0"
] | 109 | 2018-06-18T00:19:44.000Z | 2022-02-20T05:32:57.000Z | sdk/python/pulumi_azure/cosmosdb/cassandra_table.py | henriktao/pulumi-azure | f1cbcf100b42b916da36d8fe28be3a159abaf022 | [
"ECL-2.0",
"Apache-2.0"
] | 663 | 2018-06-18T21:08:46.000Z | 2022-03-31T20:10:11.000Z | sdk/python/pulumi_azure/cosmosdb/cassandra_table.py | henriktao/pulumi-azure | f1cbcf100b42b916da36d8fe28be3a159abaf022 | [
"ECL-2.0",
"Apache-2.0"
] | 41 | 2018-07-19T22:37:38.000Z | 2022-03-14T10:56:26.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... | 48.558594 | 238 | 0.662376 | 24,386 | 0.980854 | 0 | 0 | 21,722 | 0.873703 | 0 | 0 | 13,577 | 0.546094 |
e4ad4d1b1a19faa8dce0b003b788008a58802470 | 10,457 | py | Python | HW10/b06502027_hw10.py | Pyrojewel-zard/ML | d8a11d893eed3e889b9af0d6aeb3ab08cd60d997 | [
"MIT"
] | 5 | 2021-11-26T10:05:03.000Z | 2022-03-17T11:45:46.000Z | HW10/b06502027_hw10.py | Pyrojewel-zard/ML | d8a11d893eed3e889b9af0d6aeb3ab08cd60d997 | [
"MIT"
] | null | null | null | HW10/b06502027_hw10.py | Pyrojewel-zard/ML | d8a11d893eed3e889b9af0d6aeb3ab08cd60d997 | [
"MIT"
] | 1 | 2022-01-09T02:17:19.000Z | 2022-01-09T02:17:19.000Z | # -*- coding: utf-8 -*-
"""「hw10_adversarial_attack.ipynb」的副本
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1yPa2ushzqw8FNobfonL79PHzudn0vjrN
# **Homework 10 - Adversarial Attack**
Slides: https://reurl.cc/v5kXkk
Videos:
TA: ntu-ml-2021spring-ta@g... | 38.025455 | 286 | 0.67505 | 908 | 0.086451 | 0 | 0 | 0 | 0 | 0 | 0 | 5,432 | 0.517186 |
e4ae21080507e35b553b7b372118c5c586495e00 | 7,867 | py | Python | main/make_gradsamplingbasedexact_mesh.py | tttor/nbwpg | 271718362cf0cd810c7ea0cd9726e77276947e58 | [
"MIT"
] | null | null | null | main/make_gradsamplingbasedexact_mesh.py | tttor/nbwpg | 271718362cf0cd810c7ea0cd9726e77276947e58 | [
"MIT"
] | null | null | null | main/make_gradsamplingbasedexact_mesh.py | tttor/nbwpg | 271718362cf0cd810c7ea0cd9726e77276947e58 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import argparse, os, sys, pickle
import numpy as np, pathos.multiprocessing as mp, torch
import gym_util.common_util as cou, polnet as pn, util_bwopt as u
from collections import defaultdict
from poleval_pytorch import get_rpi_s, get_Ppi_ss, get_ppisteady_s, get_Qsa
def main():
arg = parse_a... | 45.473988 | 109 | 0.645862 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,614 | 0.205161 |
e4b424d5ad2b323394201895d8483eb6857e159f | 3,158 | py | Python | Python/tdw/FBOutput/StaticSpring.py | ricklentz/tdw | da40eec151acae20b28d6486defb4358d96adb0e | [
"BSD-2-Clause"
] | null | null | null | Python/tdw/FBOutput/StaticSpring.py | ricklentz/tdw | da40eec151acae20b28d6486defb4358d96adb0e | [
"BSD-2-Clause"
] | null | null | null | Python/tdw/FBOutput/StaticSpring.py | ricklentz/tdw | da40eec151acae20b28d6486defb4358d96adb0e | [
"BSD-2-Clause"
] | null | null | null | # automatically generated by the FlatBuffers compiler, do not modify
# namespace: FBOutput
import tdw.flatbuffers
class StaticSpring(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsStaticSpring(cls, buf, offset):
n = tdw.flatbuffers.encode.Get(tdw.flatbuffers.packer.uoffset, buf, offset)... | 38.048193 | 129 | 0.679227 | 2,278 | 0.721343 | 0 | 0 | 221 | 0.069981 | 0 | 0 | 207 | 0.065548 |
e4b481ea04167900e771c376b8996b0f7e02b22f | 221 | py | Python | models/locobuyticketresponse.py | jujinesy/Empier_PythonKakaoBot | 80d2951955002b1a0b5d77b5c2830bc8def63ea3 | [
"MIT"
] | 3 | 2017-03-30T15:20:18.000Z | 2018-01-04T12:46:05.000Z | models/locobuyticketresponse.py | skdltmxn/kakaobot | e738b4a8d994fc4125bbd471bd48378a11a8d371 | [
"MIT"
] | 1 | 2020-08-06T08:13:22.000Z | 2020-08-06T08:13:22.000Z | models/locobuyticketresponse.py | skdltmxn/kakaobot | e738b4a8d994fc4125bbd471bd48378a11a8d371 | [
"MIT"
] | 5 | 2020-08-06T08:18:02.000Z | 2021-02-28T03:59:45.000Z | # -*- coding: utf-8 -*-
from locoresponse import LocoResponse
class LocoBuyTicketResponse(LocoResponse):
def host(self):
return self._data["host"]
def port(self):
return self._data["port"]
| 18.416667 | 42 | 0.642534 | 155 | 0.701357 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0.158371 |
e4b4e1f9c8eb01d9ce9d5ca44f6c9f1bce4a4c9a | 91 | py | Python | travian4api/resources.py | ihoromi4/travian4api | 1fa9023d62d8dfca00f5276eff13868ddc057811 | [
"BSD-3-Clause"
] | 2 | 2022-03-08T20:50:08.000Z | 2022-03-08T20:50:13.000Z | travian4api/resources.py | ihoromi4/travian4api | 1fa9023d62d8dfca00f5276eff13868ddc057811 | [
"BSD-3-Clause"
] | null | null | null | travian4api/resources.py | ihoromi4/travian4api | 1fa9023d62d8dfca00f5276eff13868ddc057811 | [
"BSD-3-Clause"
] | 2 | 2021-03-10T18:43:53.000Z | 2021-12-18T13:31:22.000Z |
RESOURCE_TYPES = ['lumber', 'clay', 'iron', 'crop']
LUMBER = 0
CLAY = 1
IRON = 2
CROP = 3
| 13 | 51 | 0.593407 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0.285714 |
e4b5033ef04e9a7be53412dd0c2573434a49130e | 4,716 | py | Python | pikapy/interpreter.py | DanyGLewin/pykachu | d9faeb3e938e8f8da3250e432a9dd70487291627 | [
"MIT"
] | null | null | null | pikapy/interpreter.py | DanyGLewin/pykachu | d9faeb3e938e8f8da3250e432a9dd70487291627 | [
"MIT"
] | null | null | null | pikapy/interpreter.py | DanyGLewin/pykachu | d9faeb3e938e8f8da3250e432a9dd70487291627 | [
"MIT"
] | null | null | null | """Check the syntax and execute Pikachu commands.
Methods:
run -- The main context for the pikachu vm.
"""
from pikapy.utils import pika_error, pika_print
from pikapy.reader import PikaReader
from pikapy.stack import PikaStack
def run(file_name, args, debug):
"""
Run a specified Pikachu file in a virtual en... | 37.133858 | 116 | 0.496395 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 828 | 0.175573 |
e4b53b56c59f025bc7d30fa6a90cb388b81c2484 | 1,865 | py | Python | app/accounts/views/vendor_profile.py | phessabi/eshop | 6a5352753a0c27f9c3f0eda6eec696f49ef4a8eb | [
"Apache-2.0"
] | 1 | 2020-02-04T21:18:31.000Z | 2020-02-04T21:18:31.000Z | app/accounts/views/vendor_profile.py | phessabi/eshop | 6a5352753a0c27f9c3f0eda6eec696f49ef4a8eb | [
"Apache-2.0"
] | 12 | 2020-01-01T11:46:33.000Z | 2022-03-12T00:10:01.000Z | app/accounts/views/vendor_profile.py | phessabi/eshop | 6a5352753a0c27f9c3f0eda6eec696f49ef4a8eb | [
"Apache-2.0"
] | 1 | 2020-02-18T11:12:48.000Z | 2020-02-18T11:12:48.000Z | from rest_framework import status
from rest_framework.generics import ListAPIView, RetrieveAPIView, CreateAPIView, UpdateAPIView
from rest_framework.permissions import AllowAny, IsAuthenticated
from rest_framework.response import Response
from rest_framework.viewsets import GenericViewSet
from _helpers.permissions imp... | 40.543478 | 95 | 0.790885 | 1,284 | 0.688472 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0.003217 |
e4b72c3c2f5a5bbfee4b0bb9f47cf02969cbd82b | 31,394 | py | Python | plotoptix/tkoptix.py | robertsulej/plotoptix | 628694351791c7fb8cd631a6efe6cc0fd7d9f4f8 | [
"libtiff",
"MIT"
] | 307 | 2019-04-03T10:51:41.000Z | 2022-03-28T05:35:09.000Z | plotoptix/tkoptix.py | robertsulej/plotoptix | 628694351791c7fb8cd631a6efe6cc0fd7d9f4f8 | [
"libtiff",
"MIT"
] | 27 | 2019-05-11T08:53:32.000Z | 2022-02-07T22:43:21.000Z | plotoptix/tkoptix.py | robertsulej/plotoptix | 628694351791c7fb8cd631a6efe6cc0fd7d9f4f8 | [
"libtiff",
"MIT"
] | 21 | 2019-08-29T21:50:23.000Z | 2022-03-03T05:21:15.000Z | """
Tkinter UI for PlotOptiX raytracer.
https://github.com/rnd-team-dev/plotoptix/blob/master/LICENSE.txt
Have a look at examples on GitHub: https://github.com/rnd-team-dev/plotoptix.
"""
import logging
import numpy as np
import tkinter as tk
from PIL import Image, ImageTk
from ctypes import byref, c_float, c_uint
... | 46.099853 | 183 | 0.580334 | 30,914 | 0.98471 | 0 | 0 | 0 | 0 | 0 | 0 | 8,543 | 0.272122 |
e4b892cce045d4a84ff88607bc919a58e081ea7c | 453 | py | Python | tools/ckssh.py | luisxue/TreesShell | cd35826ca495264afa1e30f9b4f06eadd13ecb48 | [
"MIT"
] | null | null | null | tools/ckssh.py | luisxue/TreesShell | cd35826ca495264afa1e30f9b4f06eadd13ecb48 | [
"MIT"
] | null | null | null | tools/ckssh.py | luisxue/TreesShell | cd35826ca495264afa1e30f9b4f06eadd13ecb48 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# Author: Luisxue <luisxue@gmail.com>
# BLOG: https://luisxue.xcodn.com
#
# Notes: TreesShell for CentOS/RadHat 6+ Debian 7+ and Ubuntu 12+
#
# Project home page:
# http://trees.org.cn
# https://github.com/luisxue/TreesShell
import socket,sys
sk = socket.socket(socket.AF_INET, socket.SO... | 22.65 | 65 | 0.688742 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 256 | 0.565121 |
e4ba683b1acdb8fa2966f9142fd6e41d884299cc | 4,144 | py | Python | app.py | apizzo1/Hindsight_2020 | 51a124c7363a80ebd00999a3812a91c0b27f62cd | [
"MIT"
] | null | null | null | app.py | apizzo1/Hindsight_2020 | 51a124c7363a80ebd00999a3812a91c0b27f62cd | [
"MIT"
] | null | null | null | app.py | apizzo1/Hindsight_2020 | 51a124c7363a80ebd00999a3812a91c0b27f62cd | [
"MIT"
] | 1 | 2020-09-30T02:56:29.000Z | 2020-09-30T02:56:29.000Z | import sqlalchemy
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
from sqlalchemy import create_engine, func
import os
import requests
import urllib.parse
# API key introduction
# API_KEY = os.environ.get('API_KEY', '')
finnhub_API_Key = os.environ.get('finnhub_API_Key', '')
from... | 36.034783 | 341 | 0.707288 | 0 | 0 | 0 | 0 | 3,175 | 0.766168 | 0 | 0 | 1,920 | 0.46332 |
e4ba6ef688aa37560a69eb7860a151045a256156 | 1,156 | py | Python | Project.py | nishitde/Data-Dictionary | 4da47de16739d3a255c36b1060244d7cb1df6bae | [
"MIT"
] | null | null | null | Project.py | nishitde/Data-Dictionary | 4da47de16739d3a255c36b1060244d7cb1df6bae | [
"MIT"
] | null | null | null | Project.py | nishitde/Data-Dictionary | 4da47de16739d3a255c36b1060244d7cb1df6bae | [
"MIT"
] | null | null | null | import json
from difflib import get_close_matches
data = json.load(open("data.json"))
word = input("Enter a word: ")
try:
def translate(word):
word = word.lower()
if word in data:
return data[word]
elif word.title() in data:
return data[word.title()]
... | 28.195122 | 85 | 0.50519 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 230 | 0.198962 |
e4bd27232f18521dba7be29751865723323f35e8 | 94 | py | Python | rust/resources/api/resources.py | AsiaLi/rust | 9954d2bd9c337376840d638c6ac5af6d9a32ed28 | [
"Apache-2.0"
] | 5 | 2018-02-08T04:31:52.000Z | 2020-05-08T00:59:05.000Z | rust/resources/api/resources.py | AsiaLi/rust | 9954d2bd9c337376840d638c6ac5af6d9a32ed28 | [
"Apache-2.0"
] | 2 | 2019-03-23T03:14:06.000Z | 2019-04-19T07:51:55.000Z | rust/resources/api/resources.py | AsiaLi/rust | 9954d2bd9c337376840d638c6ac5af6d9a32ed28 | [
"Apache-2.0"
] | 4 | 2019-02-20T04:35:33.000Z | 2020-05-07T13:46:27.000Z | #coding: utf8
"""
built-in资源采用按需加载策略, 无需在此引入.
如要启用对应的资源, 请在项目的settings文件中配置RUST_RESOURCES
""" | 15.666667 | 43 | 0.787234 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 162 | 0.987805 |
e4be20e88f19e786bc1af90364e0539952a470e3 | 88 | py | Python | django_mix_admin/__init__.py | longminxiang/django_mix_admin | 375cca608b3128c7f96045628bb863e9b49a8b15 | [
"MIT"
] | null | null | null | django_mix_admin/__init__.py | longminxiang/django_mix_admin | 375cca608b3128c7f96045628bb863e9b49a8b15 | [
"MIT"
] | null | null | null | django_mix_admin/__init__.py | longminxiang/django_mix_admin | 375cca608b3128c7f96045628bb863e9b49a8b15 | [
"MIT"
] | null | null | null | __version_info__ = (0, 1, 5)
__version__ = '.'.join([str(v) for v in __version_info__])
| 29.333333 | 58 | 0.681818 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0.034091 |
e4c0d071d3b7e4c6ad479ab79343874462a2daf0 | 2,173 | py | Python | tests/openwisp2/settings.py | MiHiR151203/django-x509 | fed09c9948fb81ab79ab9e541590ce2e398dd81e | [
"BSD-3-Clause"
] | 410 | 2016-07-18T20:07:34.000Z | 2022-03-28T11:21:58.000Z | tests/openwisp2/settings.py | devkapilbansal/django-x509 | fe67255028a5437ac8e918831e39698c7e6c661a | [
"BSD-3-Clause"
] | 120 | 2016-09-13T10:36:10.000Z | 2022-02-24T15:36:42.000Z | tests/openwisp2/settings.py | devkapilbansal/django-x509 | fe67255028a5437ac8e918831e39698c7e6c661a | [
"BSD-3-Clause"
] | 85 | 2016-09-05T21:36:12.000Z | 2022-03-19T13:44:13.000Z | import os
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
DEBUG = True
ALLOWED_HOSTS = []
DATABASES = {
'default': {'ENGINE': 'django.db.backends.sqlite3', 'NAME': 'djangox509.db'}
}
SECRET_KEY = 'fn)t*+$)ugeyip6-#txyy$5wf2ervc0d2n#h)qb)y5@ly$t*@w'
INSTALLED_APPS = [
'django.contrib.auth',
'djan... | 28.592105 | 81 | 0.678785 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,275 | 0.586746 |
e4c31aee7bfbc8595d53ad5906b60459c10165ee | 3,472 | py | Python | service/recv_setup.py | mikroncoin/mikron_restapi_py | 79cd47c8f26615ccd27c9764c92299f8cebd578a | [
"BSD-2-Clause"
] | null | null | null | service/recv_setup.py | mikroncoin/mikron_restapi_py | 79cd47c8f26615ccd27c9764c92299f8cebd578a | [
"BSD-2-Clause"
] | 6 | 2018-09-27T07:12:28.000Z | 2019-08-14T10:13:13.000Z | service/recv_setup.py | mikroncoin/mikron_restapi_py | 79cd47c8f26615ccd27c9764c92299f8cebd578a | [
"BSD-2-Clause"
] | null | null | null | import config
import recv_db
import node_rpc_helper
import threading
from time import sleep, time
setup_check_background_result = {"msg": "(uninitialized)"}
config = config.readConfig()
last_check_time = time() - 10000
def get_setup_check_background():
global setup_check_background_result
return setup_check_... | 32.754717 | 93 | 0.616647 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,060 | 0.3053 |
e4c4cb3330bd82155cdbb03b29afb2dbeedea99b | 23,602 | py | Python | pysnmp-with-texts/NSCHippiSonet-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 8 | 2019-05-09T17:04:00.000Z | 2021-06-09T06:50:51.000Z | pysnmp-with-texts/NSCHippiSonet-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 4 | 2019-05-31T16:42:59.000Z | 2020-01-31T21:57:17.000Z | pysnmp-with-texts/NSCHippiSonet-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module NSCHippiSonet-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/NSCHippiSonet-MIB
# Produced by pysmi-0.3.4 at Wed May 1 14:25:03 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Ma... | 125.542553 | 3,243 | 0.800398 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,914 | 0.250572 |
e4c4f544669d2e4b222ccb9bd7786787ddb72fee | 784 | py | Python | 2015/day/2/solution.py | iangregson/advent-of-code | e2a2dde30dcaed027a5ba78f9270f8a1976577f1 | [
"MIT"
] | null | null | null | 2015/day/2/solution.py | iangregson/advent-of-code | e2a2dde30dcaed027a5ba78f9270f8a1976577f1 | [
"MIT"
] | null | null | null | 2015/day/2/solution.py | iangregson/advent-of-code | e2a2dde30dcaed027a5ba78f9270f8a1976577f1 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import os
dir_path = os.path.dirname(os.path.realpath(__file__))
file = open(dir_path + "/input.txt", "r")
lines = file.readlines()
lines = [line.strip() for line in lines]
# lines = ["2x3x4", "1x1x10"]
total = 0
for line in lines:
l, w, h = [int(v) for v in line.split('x')]
side1 = ... | 21.777778 | 54 | 0.598214 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 104 | 0.132653 |
e4c526448ad55197755fe945ed7cc9cdffa6ce97 | 1,522 | py | Python | setup.py | camp-zju/HHypermap | f65133f2a45188ccc91dca48ea5a7f6d5afa1c18 | [
"MIT"
] | 6 | 2018-04-17T03:07:06.000Z | 2022-01-11T00:14:42.000Z | setup.py | camp-zju/HHypermap | f65133f2a45188ccc91dca48ea5a7f6d5afa1c18 | [
"MIT"
] | 23 | 2018-05-14T21:13:58.000Z | 2022-03-21T22:16:40.000Z | setup.py | camp-zju/HHypermap | f65133f2a45188ccc91dca48ea5a7f6d5afa1c18 | [
"MIT"
] | 2 | 2019-09-18T05:48:03.000Z | 2020-03-19T07:06:29.000Z | import os
from distutils.core import setup
from distutils.command.install import INSTALL_SCHEMES
from setuptools import find_packages
from hypermap import __version__, __description__
def read(*rnames):
with open(os.path.join(os.path.dirname(__file__), *rnames)) as ff:
return ff.read()
setup(
name=_... | 24.548387 | 70 | 0.581472 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 595 | 0.390933 |
e4c67370682280607f52d85bc867fcf1b22bcd29 | 2,611 | py | Python | src/utils/__init__.py | ppolewicz/screeps-starter-python | dd2f5646a53c9353bf99e976e5f362e297715e96 | [
"MIT"
] | null | null | null | src/utils/__init__.py | ppolewicz/screeps-starter-python | dd2f5646a53c9353bf99e976e5f362e297715e96 | [
"MIT"
] | null | null | null | src/utils/__init__.py | ppolewicz/screeps-starter-python | dd2f5646a53c9353bf99e976e5f362e297715e96 | [
"MIT"
] | null | null | null | from creeps.scheduled_action import ScheduledAction
def part_count(creep, of_type):
count = 0
for part in creep.body:
if part['type'] == of_type:
count += 1
return count
def get_first_spawn(room):
for s in room.find(FIND_MY_STRUCTURES):
if s.structureType == STRUCTURE_SPAWN... | 23.522523 | 91 | 0.550747 | 76 | 0.029108 | 0 | 0 | 0 | 0 | 0 | 0 | 131 | 0.050172 |
e4c8185a2c9690234bd9c6872e272faa663e2d58 | 2,419 | py | Python | src/sidecar/connection.py | aldanor/sidecar | 5353bc4120a01460f6b1e51ea8e1fcafb0524782 | [
"Apache-2.0"
] | null | null | null | src/sidecar/connection.py | aldanor/sidecar | 5353bc4120a01460f6b1e51ea8e1fcafb0524782 | [
"Apache-2.0"
] | null | null | null | src/sidecar/connection.py | aldanor/sidecar | 5353bc4120a01460f6b1e51ea8e1fcafb0524782 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import json
import logging
import os
from sockjs.tornado import SockJSRouter, SockJSConnection
from tornado.web import RequestHandler, StaticFileHandler
from tornado.web import Application
from tornado.ioloop import IOLoop
from sidecar.utils import log
class WebHandler(RequestHandler):
d... | 26.582418 | 76 | 0.613477 | 2,128 | 0.879702 | 0 | 0 | 839 | 0.346838 | 0 | 0 | 148 | 0.061182 |
e4c821a03a137cb22747cf95a778dd8018d7963b | 1,210 | py | Python | 1-100/31-40/31-nextPermutation/nextPermutation.py | xuychen/Leetcode | c8bf33af30569177c5276ffcd72a8d93ba4c402a | [
"MIT"
] | null | null | null | 1-100/31-40/31-nextPermutation/nextPermutation.py | xuychen/Leetcode | c8bf33af30569177c5276ffcd72a8d93ba4c402a | [
"MIT"
] | null | null | null | 1-100/31-40/31-nextPermutation/nextPermutation.py | xuychen/Leetcode | c8bf33af30569177c5276ffcd72a8d93ba4c402a | [
"MIT"
] | null | null | null | class Solution(object):
def nextPermutation(self, nums):
"""
:type nums: List[int]
:rtype: void Do not return anything, modify nums in-place instead.
"""
flag = False
for i in range(len(nums)-2, -1, -1):
if nums[i] < nums[i+1]:
flag = True... | 30.25 | 74 | 0.400826 | 1,210 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 240 | 0.198347 |
e4c9e7db24e7faa2d384c8fed0def5b98126bad5 | 4,584 | py | Python | recognizer/sat_plan_recognizer.py | RukNdf/MA-Landmark | 4038ebe7edc9e353e1987479f5f9edc528a4bd2a | [
"Unlicense"
] | null | null | null | recognizer/sat_plan_recognizer.py | RukNdf/MA-Landmark | 4038ebe7edc9e353e1987479f5f9edc528a4bd2a | [
"Unlicense"
] | null | null | null | recognizer/sat_plan_recognizer.py | RukNdf/MA-Landmark | 4038ebe7edc9e353e1987479f5f9edc528a4bd2a | [
"Unlicense"
] | null | null | null | import time
from z3 import Solver, Implies, sat, Const, Function, IntSort, ForAll, DeclareSort
from recognizer.pddl.pddl_planner import applicable
from recognizer.pddl.sat_planner import SATPlanner
from recognizer.plan_recognizer import PlanRecognizer
class SATPlanRecognizer(PlanRecognizer):
name = "sat"
... | 43.245283 | 123 | 0.610384 | 4,327 | 0.943935 | 0 | 0 | 0 | 0 | 0 | 0 | 654 | 0.14267 |
e4cb77ef15c6281746b9224f3a653571c3753950 | 925 | py | Python | USPTO-15K/scripts/coverage.py | wengong-jin/nips17-rexgen | fb7dea369b0721b88cd0133a7d66348d244f65d3 | [
"MIT"
] | 113 | 2017-09-22T19:42:50.000Z | 2022-02-05T03:11:27.000Z | USPTO-15K/scripts/coverage.py | wibrow/nips17-rexgen | fb7dea369b0721b88cd0133a7d66348d244f65d3 | [
"MIT"
] | 6 | 2017-11-18T05:54:49.000Z | 2021-03-04T08:28:46.000Z | USPTO-15K/scripts/coverage.py | wibrow/nips17-rexgen | fb7dea369b0721b88cd0133a7d66348d244f65d3 | [
"MIT"
] | 41 | 2017-12-13T02:32:10.000Z | 2022-01-09T06:39:40.000Z | cand = open('lbp-bond/data.cbond')
gold = open('data/connor_split.csv')
tot,good = 0,0
for line in cand:
cand_bonds = []
for v in line.split():
x,y = v.split('-')
cand_bonds.append((int(x),int(y)))
line = gold.readline()
items = line.split()
if items[1] != 'test': continue
... | 25 | 46 | 0.484324 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 71 | 0.076757 |
e4cbdc38c4ab5669908483516a67bda51e21ba7f | 1,431 | py | Python | somato/06_dipole.py | larsoner/beamformer_simulation | ebc9cfc8bc73434ecd995c3b85560db962642307 | [
"BSD-3-Clause"
] | 2 | 2019-06-03T21:09:24.000Z | 2020-05-29T20:53:22.000Z | somato/06_dipole.py | larsoner/beamformer_simulation | ebc9cfc8bc73434ecd995c3b85560db962642307 | [
"BSD-3-Clause"
] | null | null | null | somato/06_dipole.py | larsoner/beamformer_simulation | ebc9cfc8bc73434ecd995c3b85560db962642307 | [
"BSD-3-Clause"
] | 4 | 2019-07-14T02:44:40.000Z | 2020-05-28T18:05:26.000Z | import os.path as op
import numpy as np
import matplotlib.pyplot as plt
import mne
from nilearn.plotting import plot_anat
from config import fname, subject_id, n_jobs
report = mne.open_report(fname.report)
epochs = mne.read_epochs(fname.epochs)
noise_cov = mne.compute_covariance(epochs, tmin=-0.2, tmax=0, method='s... | 36.692308 | 91 | 0.750524 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 177 | 0.12369 |
e4cbe718ce99cfda8db68cebd8b2f70d40be2a56 | 299 | py | Python | Exercicios/Resposta-EstruturaDeDecisao/Exerc_4.py | ThaisAlves7/Exercicios_PythonBrasil | 3c55f56c44b4da9953a79398859e7c73a155dc0e | [
"MIT"
] | null | null | null | Exercicios/Resposta-EstruturaDeDecisao/Exerc_4.py | ThaisAlves7/Exercicios_PythonBrasil | 3c55f56c44b4da9953a79398859e7c73a155dc0e | [
"MIT"
] | null | null | null | Exercicios/Resposta-EstruturaDeDecisao/Exerc_4.py | ThaisAlves7/Exercicios_PythonBrasil | 3c55f56c44b4da9953a79398859e7c73a155dc0e | [
"MIT"
] | null | null | null | # Faça um programa que verifique se uma letra digitada é vogal ou consoante.
vogais = ['A', 'E', 'I', 'O', 'U']
letra = input('Digite uma letra: ').strip()
letra = letra.capitalize()
if letra in vogais:
print(f'A letra {letra} é uma vogal')
else:
print(f'A letra {letra} é uma consoante') | 27.181818 | 76 | 0.655518 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 179 | 0.590759 |
e4cc0d2e30cb90d31f4c75e015c940d7ee00182a | 19,236 | py | Python | extras/simpleperf/runtest/runtest.py | Keneral/asystem | df12381b72ef3d629c8efc61100cc8c714195320 | [
"Unlicense"
] | null | null | null | extras/simpleperf/runtest/runtest.py | Keneral/asystem | df12381b72ef3d629c8efc61100cc8c714195320 | [
"Unlicense"
] | null | null | null | extras/simpleperf/runtest/runtest.py | Keneral/asystem | df12381b72ef3d629c8efc61100cc8c714195320 | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python
#
# Copyright (C) 2015 The Android Open Source 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 req... | 32.548223 | 78 | 0.629289 | 12,319 | 0.640414 | 0 | 0 | 0 | 0 | 0 | 0 | 3,103 | 0.161312 |
e4cc48259575ae3ff337d2ba3e8068256382c270 | 21,443 | py | Python | summarization_utils.py | allenai/advisor | 6849755042c6dab1488f64cf21bde2322add3cc1 | [
"Apache-2.0"
] | 5 | 2021-12-13T18:21:35.000Z | 2022-03-27T17:18:09.000Z | summarization_utils.py | allenai/advisor | 6849755042c6dab1488f64cf21bde2322add3cc1 | [
"Apache-2.0"
] | null | null | null | summarization_utils.py | allenai/advisor | 6849755042c6dab1488f64cf21bde2322add3cc1 | [
"Apache-2.0"
] | null | null | null | import ast
import hashlib
import json
import os
from collections import defaultdict
from typing import Tuple, Sequence, Dict, Optional, Union, Any, Set
import compress_pickle
import matplotlib.pyplot as plt
import numpy as np
import pandas
import pandas as pd
from filelock import FileLock
from allenact.utils.misc_uti... | 36.221284 | 88 | 0.533834 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,907 | 0.088933 |
e4d1a5ffa7594bfb272d1e801de25c346e704f41 | 159 | py | Python | finished/edabit/very_easy/return_sum.py | UltiRequiem/daily-python-practice | 31f72c45378be90b8fcadd30d7042819ee551a17 | [
"MIT"
] | 8 | 2021-05-29T23:30:12.000Z | 2021-09-24T03:25:44.000Z | finished/edabit/very_easy/return_sum.py | UltiRequiem/daily-python-practice | 31f72c45378be90b8fcadd30d7042819ee551a17 | [
"MIT"
] | null | null | null | finished/edabit/very_easy/return_sum.py | UltiRequiem/daily-python-practice | 31f72c45378be90b8fcadd30d7042819ee551a17 | [
"MIT"
] | 6 | 2021-06-02T14:20:24.000Z | 2021-08-19T00:49:26.000Z | def addition(x: int, y: int) -> int:
return x + y
# addition_lambda = lambda x, y: x + y
# Test:
if __name__ == "__main__":
print(addition(78, 98))
| 15.9 | 38 | 0.591195 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 0.345912 |
e4d249940b5e4b94dccb108c35a99b6f1dfb8b25 | 899 | py | Python | mylog.py | james-prior/python-asyncio-experiments | eeda9aafe855f2ef666c694cc6fa85ceef91cfe5 | [
"MIT"
] | null | null | null | mylog.py | james-prior/python-asyncio-experiments | eeda9aafe855f2ef666c694cc6fa85ceef91cfe5 | [
"MIT"
] | null | null | null | mylog.py | james-prior/python-asyncio-experiments | eeda9aafe855f2ef666c694cc6fa85ceef91cfe5 | [
"MIT"
] | null | null | null | import datetime
def format_time(t):
return f'{t.seconds:2}.{t.microseconds:06}'
def log(message):
'''
prints a line with:
elapsed time since this function was first called
elapsed time since this function was previously called
message
Elapsed times are shown in seconds with mi... | 24.972222 | 66 | 0.694105 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 329 | 0.365962 |
e4d3a3a4b5231dc56cb563722643de1889b8ff1c | 9,563 | py | Python | scripts/lmpsizes.py | elor/lmputils | 5fd38f7ef8fe50f580c530e2a7b457421c6525e5 | [
"MIT"
] | 1 | 2016-06-25T13:13:01.000Z | 2016-06-25T13:13:01.000Z | scripts/lmpsizes.py | elor/lmputils | 5fd38f7ef8fe50f580c530e2a7b457421c6525e5 | [
"MIT"
] | null | null | null | scripts/lmpsizes.py | elor/lmputils | 5fd38f7ef8fe50f580c530e2a7b457421c6525e5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import sys, re
# init
def printHelp():
sys.stderr.write("""\
lmpsizes.py, a tool for adjusting the size of a .lmp file
Syntax: lmpsizes.py <source.lmp> (operation)...
lmpsizes.py -h|--help
Description:
This script reads the size limits from basis.lmp, alters them using any numbe... | 24.583548 | 233 | 0.594165 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,027 | 0.421102 |
e4d4b64f36bac32559212d9f09ad4caa0d9bfce2 | 286 | py | Python | tests/superset_test_config.py | manueliglesiasgarcia/superset-api-client | 268b36d3b9694895f0e4a9595af7b592ac7c5b77 | [
"Apache-2.0"
] | 11 | 2021-05-07T16:34:52.000Z | 2022-03-17T07:54:56.000Z | tests/superset_test_config.py | manueliglesiasgarcia/superset-api-client | 268b36d3b9694895f0e4a9595af7b592ac7c5b77 | [
"Apache-2.0"
] | 10 | 2021-10-08T20:03:59.000Z | 2022-03-18T18:28:09.000Z | tests/superset_test_config.py | manueliglesiasgarcia/superset-api-client | 268b36d3b9694895f0e4a9595af7b592ac7c5b77 | [
"Apache-2.0"
] | 6 | 2021-07-09T18:23:09.000Z | 2022-03-19T09:23:19.000Z | """Configuration for tests"""
import tempfile
DEBUG = True
TESTING = True
WTF_CSRF_ENABLED = False
# APP CONFIG
# Creating a tempfile
SQLALCHEMY_DATABASE_URI = f"sqlite://{tempfile.mkdtemp()}/test.db"
# WEBSERVER
SUPERSET_WEBSERVER_ADDRESS = "0.0.0.0"
SUPERSET_WEBSERVER_PORT = 8080
| 19.066667 | 66 | 0.765734 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 122 | 0.426573 |
e4d7188d1126cf74926c3e66a423812722a2540a | 22,051 | py | Python | special_k/tests/test_signing.py | namoopsoo/special_k | 816ad200e8608d862e20971dc2bc4d2724aaf0bc | [
"Apache-2.0"
] | null | null | null | special_k/tests/test_signing.py | namoopsoo/special_k | 816ad200e8608d862e20971dc2bc4d2724aaf0bc | [
"Apache-2.0"
] | null | null | null | special_k/tests/test_signing.py | namoopsoo/special_k | 816ad200e8608d862e20971dc2bc4d2724aaf0bc | [
"Apache-2.0"
] | null | null | null | # Copyright 2020-present Kensho Technologies, LLC.
from datetime import datetime
import glob
import os
import time
from unittest.mock import Mock
import funcy
import gpg
import pytest
from . import _UNSAFE_KEY_PASSPHRASE, FAKE_KEYS_DIR, TESTING_ENVVAR, TRUSTED_DIR_ENVVAR
from ..check_gpg_keys import (
_verify_tru... | 42.984405 | 100 | 0.655072 | 17,585 | 0.79747 | 0 | 0 | 732 | 0.033196 | 0 | 0 | 7,287 | 0.330461 |
e4d7579cdae9a7c92d24f6e21579f1d1d07cf7c1 | 4,054 | py | Python | setup.py | crcrewso/qatrackplus | b9da3bc542d9e3eca8b7291bb631d1c7255d528e | [
"MIT"
] | 20 | 2021-03-11T18:37:32.000Z | 2022-03-23T19:38:07.000Z | setup.py | crcrewso/qatrackplus | b9da3bc542d9e3eca8b7291bb631d1c7255d528e | [
"MIT"
] | 75 | 2021-02-12T02:37:33.000Z | 2022-03-29T20:56:16.000Z | setup.py | crcrewso/qatrackplus | b9da3bc542d9e3eca8b7291bb631d1c7255d528e | [
"MIT"
] | 5 | 2021-04-07T15:46:53.000Z | 2021-09-18T16:55:00.000Z | import os
import re
from setuptools import find_packages, setup
root = os.path.dirname(__file__)
settingsf = open(os.path.join(root, 'qatrack', 'settings.py'), 'r')
__version__ = re.findall(r"""VERSION\s+=\s+['"]+(.*)['"]""", settingsf.read())[0]
setup(
name='qatrackplus',
version=__version__,
packages... | 37.192661 | 149 | 0.580168 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,722 | 0.671436 |
e4d7953efcb7408bce5180ef4d3341f1a6b7b1ad | 4,603 | py | Python | src/models/CORAL-LM/coral/interactive.py | behavioral-data/multiverse | 82b7265de0aa3e9d229ce9f3f86b8b48435ca365 | [
"MIT"
] | null | null | null | src/models/CORAL-LM/coral/interactive.py | behavioral-data/multiverse | 82b7265de0aa3e9d229ce9f3f86b8b48435ca365 | [
"MIT"
] | null | null | null | src/models/CORAL-LM/coral/interactive.py | behavioral-data/multiverse | 82b7265de0aa3e9d229ce9f3f86b8b48435ca365 | [
"MIT"
] | 1 | 2021-08-19T15:21:50.000Z | 2021-08-19T15:21:50.000Z | import argparse
from torch.utils.data import DataLoader
from .model import BERT
from .trainer import BERTTrainer
from .dataset import DataReader, UnitedVocab, CORALDataset, my_collate, key_lib
import pdb
import os
import json
import torch
class Session():
def __init__(self, dataset,
mod... | 38.358333 | 142 | 0.582663 | 4,299 | 0.933956 | 0 | 0 | 0 | 0 | 0 | 0 | 209 | 0.045405 |
e4d9a9c56221ae7e0e31c377fd09796258aef2bc | 532 | py | Python | tutorials/conversational_search/Tutorial6_Binary_Passage_Retriever.py | giguru/converse | bfe5ccc0af50455074abf7926a31145ac96834a5 | [
"Apache-2.0"
] | 9 | 2020-10-23T14:39:45.000Z | 2021-11-16T10:37:11.000Z | tutorials/conversational_search/Tutorial6_Binary_Passage_Retriever.py | giguru/converse | bfe5ccc0af50455074abf7926a31145ac96834a5 | [
"Apache-2.0"
] | 12 | 2020-10-07T08:07:51.000Z | 2020-10-22T14:20:19.000Z | tutorials/conversational_search/Tutorial6_Binary_Passage_Retriever.py | giguru/converse | bfe5ccc0af50455074abf7926a31145ac96834a5 | [
"Apache-2.0"
] | null | null | null | from haystack import Pipeline
from haystack.retriever.anserini import DenseAnseriniRetriever
# LOAD COMPONENTS
retriever = DenseAnseriniRetriever(prebuilt_index_name="wikipedia-bpr-single-nq-hash",
binary=True,
query_encoder="castorini/bpr-nq-questi... | 31.294118 | 86 | 0.682331 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 166 | 0.31203 |
e4da6f2e214530239d7254ffdc625a7c298a5b02 | 854 | py | Python | ros_system_ws/src/vector79/scripts/voltage_monitor.py | DrClick/ARCRacing | 4428a244c5a4627f4550eba066657b5a87ff0602 | [
"MIT"
] | 7 | 2016-12-15T22:24:04.000Z | 2018-12-27T05:48:45.000Z | ros_system_ws/src/vector79/scripts/voltage_monitor.py | DrClick/ARCRacing | 4428a244c5a4627f4550eba066657b5a87ff0602 | [
"MIT"
] | null | null | null | ros_system_ws/src/vector79/scripts/voltage_monitor.py | DrClick/ARCRacing | 4428a244c5a4627f4550eba066657b5a87ff0602 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import rospy
from std_msgs.msg import String, Float32
import time
import subprocess
def voltage_monitor():
rospy.init_node('voltage_monitor')
info_pub = rospy.Publisher('bus_comm', String, queue_size=1)
voltage_pub = rospy.Publisher('voltage', Float32, queue_size=1)
while True:... | 27.548387 | 124 | 0.661593 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 162 | 0.189696 |
e4db245f6a04cd11be89f16f10ad98de90bdf524 | 2,739 | py | Python | spark_auto_mapper_fhir/value_sets/entity_name_use.py | icanbwell/SparkAutoMapper.FHIR | 98f368e781b46523142c7cb513c670d659a93c9b | [
"Apache-2.0"
] | 1 | 2021-11-18T18:06:45.000Z | 2021-11-18T18:06:45.000Z | spark_auto_mapper_fhir/value_sets/entity_name_use.py | icanbwell/SparkAutoMapper.FHIR | 98f368e781b46523142c7cb513c670d659a93c9b | [
"Apache-2.0"
] | null | null | null | spark_auto_mapper_fhir/value_sets/entity_name_use.py | icanbwell/SparkAutoMapper.FHIR | 98f368e781b46523142c7cb513c670d659a93c9b | [
"Apache-2.0"
] | null | null | null | from __future__ import annotations
from spark_auto_mapper_fhir.fhir_types.uri import FhirUri
from spark_auto_mapper_fhir.value_sets.generic_type import GenericTypeCode
from spark_auto_mapper.type_definitions.defined_types import AutoMapperTextInputType
# This file is auto-generated by generate_classes so do not edi... | 36.52 | 86 | 0.717415 | 2,376 | 0.86747 | 0 | 0 | 0 | 0 | 0 | 0 | 1,976 | 0.721431 |
e4dde971f2e70ab06559858e0fab7f650c0ab505 | 94,984 | py | Python | ktapp/models.py | cu2/KT | 8a0964b77dce150358637faa679d969a07e42f07 | [
"CC-BY-3.0"
] | 5 | 2015-04-13T09:44:31.000Z | 2017-10-19T01:07:58.000Z | ktapp/models.py | cu2/KT | 8a0964b77dce150358637faa679d969a07e42f07 | [
"CC-BY-3.0"
] | 49 | 2015-02-15T07:12:05.000Z | 2022-03-11T23:11:43.000Z | ktapp/models.py | cu2/KT | 8a0964b77dce150358637faa679d969a07e42f07 | [
"CC-BY-3.0"
] | null | null | null | import datetime
import hashlib
import json
import os
import random
import string
from PIL import Image
from urlparse import urlparse
from django.conf import settings
from django.db import models, connection
from django.contrib.auth.models import AbstractBaseUser, PermissionsMixin, UserManager
from django.core.mail imp... | 43.411335 | 186 | 0.685263 | 82,998 | 0.87381 | 0 | 0 | 21,789 | 0.229397 | 0 | 0 | 8,962 | 0.094353 |
e4de17c6c2bcdd5dac773b36cd590020f73017b2 | 322 | py | Python | ntsa/models/__init__.py | d3sm0/ntsa | cf5680c20fec3316eef90af86014f642b88bfbf2 | [
"MIT"
] | 15 | 2018-11-26T14:35:29.000Z | 2021-06-07T04:48:42.000Z | ntsa/models/__init__.py | d3sm0/ntsa | cf5680c20fec3316eef90af86014f642b88bfbf2 | [
"MIT"
] | 10 | 2020-01-28T22:29:29.000Z | 2021-12-13T19:52:10.000Z | ntsa/models/__init__.py | d3sm0/ntsa | cf5680c20fec3316eef90af86014f642b88bfbf2 | [
"MIT"
] | 4 | 2020-02-14T13:01:57.000Z | 2021-01-01T19:06:38.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from .model import Base
from .model import Dense
from .model import SeriesNet
from .model import NP
from .model import CNP
from .model import RNN
from .model import Seq2Seq
from .model import DARNN
from .model import RGAN
from .model import CRGAN
from .model import CGAN... | 16.947368 | 28 | 0.748447 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44 | 0.136646 |
e4de733e5c0ae2e4678e9cda8d9bbc096dd360a5 | 594 | py | Python | server/grpc/pyserver.py | Panthereum/DigitalBeing | 7fda011f34dd62c03d1072035ae0ad2a129281a7 | [
"MIT"
] | 53 | 2021-07-20T04:01:57.000Z | 2022-03-13T17:31:08.000Z | server/grpc/pyserver.py | Panthereum/DigitalBeing | 7fda011f34dd62c03d1072035ae0ad2a129281a7 | [
"MIT"
] | 58 | 2021-08-20T02:22:16.000Z | 2021-12-13T10:38:58.000Z | server/grpc/pyserver.py | Panthereum/DigitalBeing | 7fda011f34dd62c03d1072035ae0ad2a129281a7 | [
"MIT"
] | 13 | 2021-08-23T20:16:14.000Z | 2022-01-31T23:59:21.000Z | import logging
import time
# import the original example.py
from handler import DigitalBeing as DB
logger = logging.getLogger('server_logger')
logger.setLevel(logging.DEBUG)
# create file handler which logs even debug messages
fh = logging.FileHandler('grpc_server.log')
fh.setLevel(logging.DEBUG)
logger.addHandler(f... | 22.846154 | 61 | 0.754209 | 75 | 0.126263 | 0 | 0 | 0 | 0 | 0 | 0 | 250 | 0.420875 |
e4debd4280513f51ffae81a74e479547f07c0088 | 2,679 | py | Python | app/tg/routes.py | EeOneDown/spbu4u | 2ad01088fb167c80c53b757a0247fc5cde34c20f | [
"Apache-2.0"
] | 30 | 2017-09-14T20:25:43.000Z | 2022-03-12T09:55:35.000Z | app/tg/routes.py | EeOneDown/spbu4u | 2ad01088fb167c80c53b757a0247fc5cde34c20f | [
"Apache-2.0"
] | 59 | 2018-01-12T18:29:24.000Z | 2019-03-08T21:08:40.000Z | app/tg/routes.py | EeOneDown/spbu4u | 2ad01088fb167c80c53b757a0247fc5cde34c20f | [
"Apache-2.0"
] | 8 | 2017-12-01T18:36:04.000Z | 2020-11-22T00:36:15.000Z | import logging
from json import loads
from time import time
from flask import request, abort
from telebot.apihelper import ApiException
from telebot.types import Update
from app import db, new_functions as nf
from app.constants import (
webhook_url_base, webhook_url_path, ids, other_error_answer
)
from app.models... | 28.806452 | 75 | 0.591639 | 0 | 0 | 0 | 0 | 812 | 0.299742 | 0 | 0 | 298 | 0.110004 |
e4df95cc2cdc1f1463a8b2b8946b91a69dbe5207 | 7,391 | py | Python | prysm/segmented.py | deisenroth/prysm | 53a400ef89697041f67192e879e61ad28c451318 | [
"MIT"
] | 110 | 2017-09-28T05:24:22.000Z | 2022-03-17T17:34:08.000Z | prysm/segmented.py | mjhoptics/prysm | 5dea335e068d04d1006741d8eb02278181751f73 | [
"MIT"
] | 82 | 2018-01-03T03:52:42.000Z | 2022-02-02T02:30:19.000Z | prysm/segmented.py | mjhoptics/prysm | 5dea335e068d04d1006741d8eb02278181751f73 | [
"MIT"
] | 28 | 2017-12-28T02:47:55.000Z | 2022-03-29T02:10:11.000Z | """Tools for working with segmented systems."""
from collections import namedtuple
import numpy as truenp
from .geometry import regular_polygon
from .mathops import np
Hex = namedtuple('Hex', ['q', 'r', 's'])
def add_hex(h1, h2):
"""Add two hex coordinates together."""
q = h1.q + h2.q
r = h1.r + h2.r
... | 32.134783 | 117 | 0.613043 | 1,603 | 0.216885 | 0 | 0 | 0 | 0 | 0 | 0 | 2,395 | 0.324043 |
e4dfb95f04467bee0420411aa09bbdd150a3b575 | 1,156 | py | Python | Projects/multiple_args_curvefit/python/src/model.py | basavyr/curve-fitting | 0c7f93b7764d9ddc3e2860e5f20d21bf30256f58 | [
"MIT"
] | null | null | null | Projects/multiple_args_curvefit/python/src/model.py | basavyr/curve-fitting | 0c7f93b7764d9ddc3e2860e5f20d21bf30256f58 | [
"MIT"
] | null | null | null | Projects/multiple_args_curvefit/python/src/model.py | basavyr/curve-fitting | 0c7f93b7764d9ddc3e2860e5f20d21bf30256f58 | [
"MIT"
] | null | null | null | import numpy as np
from matplotlib import pyplot as plt
from scipy.optimize import curve_fit
import random as rd
import plotter
def model_function(X, a, b, c):
"""
- the analytical expression for the model that aims at describing the experimental data
- the X argument is an array of tuples of the form X=... | 23.12 | 91 | 0.624567 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 193 | 0.166955 |
e4e19e9928517728d0a9a1ccaaa4cb714b4df75b | 197 | py | Python | Python/count-negative-numbers-in-a-sorted-matrix.py | kuanhungchen/leetcode-practice | b75e773ada60b685da1576ae5f2234b70bc27842 | [
"CNRI-Python"
] | 1 | 2020-04-29T06:19:44.000Z | 2020-04-29T06:19:44.000Z | Python/count-negative-numbers-in-a-sorted-matrix.py | kuanhungchen/leetcode-practice | b75e773ada60b685da1576ae5f2234b70bc27842 | [
"CNRI-Python"
] | null | null | null | Python/count-negative-numbers-in-a-sorted-matrix.py | kuanhungchen/leetcode-practice | b75e773ada60b685da1576ae5f2234b70bc27842 | [
"CNRI-Python"
] | null | null | null | class Solution:
def countNegatives(self, grid):
ans = 0
for row in grid:
for ele in row:
if ele < 0:
ans += 1
return ans
| 21.888889 | 35 | 0.426396 | 196 | 0.994924 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e4e259912dc8fab0fc123e2bde02cc765fe32ec1 | 3,740 | py | Python | src/text_computation/computeCorrs.py | levon003/wiki-ores-feedback | 29e7f1a41b16a7c57448d5bbc5801653debbc115 | [
"MIT"
] | 2 | 2022-03-27T19:24:30.000Z | 2022-03-29T16:15:31.000Z | src/text_computation/computeCorrs.py | levon003/wiki-ores-feedback | 29e7f1a41b16a7c57448d5bbc5801653debbc115 | [
"MIT"
] | 1 | 2021-04-23T21:03:45.000Z | 2021-04-23T21:03:45.000Z | src/text_computation/computeCorrs.py | levon003/wiki-ores-feedback | 29e7f1a41b16a7c57448d5bbc5801653debbc115 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Simple script to compute correlations for inserted and removed tokens
import numpy as np
import pandas as pd
from tqdm import tqdm
import os
import sqlite3
from datetime import datetime
import scipy.stats
import scipy.sparse
def create_array(token_index, db, total=9584147):
token_indicat... | 46.17284 | 191 | 0.699465 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 828 | 0.22139 |
e4e47a927be1df6a8c7ab23bada3a5ee286f11b3 | 590 | py | Python | bootstrapvz/plugins/insecure/tasks.py | null0000/bootstrap-vz | 003cdd9808bac90383b4c46738507bd7e1daa268 | [
"Apache-2.0"
] | null | null | null | bootstrapvz/plugins/insecure/tasks.py | null0000/bootstrap-vz | 003cdd9808bac90383b4c46738507bd7e1daa268 | [
"Apache-2.0"
] | null | null | null | bootstrapvz/plugins/insecure/tasks.py | null0000/bootstrap-vz | 003cdd9808bac90383b4c46738507bd7e1daa268 | [
"Apache-2.0"
] | null | null | null | from bootstrapvz.base import Task
from bootstrapvz.common import phases
import os
import shutil
class EnableInsecureAccess(Task):
description = 'Enabling shell access via /dev/ttyS1'
phase = phases.system_modification
@classmethod
def run(cls, info):
# Append a line to /etc/inittab launching /bin/bash on
# /... | 31.052632 | 81 | 0.754237 | 491 | 0.832203 | 0 | 0 | 365 | 0.618644 | 0 | 0 | 140 | 0.237288 |
e4e647dd3b9fc6ab9ed936f939be2c4d02a9c3ed | 446,260 | py | Python | rl_agents/awac_agent_4_20_1_norm_v1-225_deterministic.py | IsaiahPressman/Kaggle_Santa_2020 | ff5c6aa78dbe234cef338f4c721cc30d7dbc3df8 | [
"MIT"
] | null | null | null | rl_agents/awac_agent_4_20_1_norm_v1-225_deterministic.py | IsaiahPressman/Kaggle_Santa_2020 | ff5c6aa78dbe234cef338f4c721cc30d7dbc3df8 | [
"MIT"
] | null | null | null | rl_agents/awac_agent_4_20_1_norm_v1-225_deterministic.py | IsaiahPressman/Kaggle_Santa_2020 | ff5c6aa78dbe234cef338f4c721cc30d7dbc3df8 | [
"MIT"
] | null | null | null | serialized_string = b'gAN9cQBYEAAAAG1vZGVsX3N0YXRlX2RpY3RxAWNjb2xsZWN0aW9ucwpPcmRlcmVkRGljdApxAilScQMoWCEAAABiYXNlLmxheWVycy4wLm1lc3NhZ2VfcGFzc2luZ19tYXRxBGN0b3JjaC5fdXRpbHMKX3JlYnVpbGRfdGVuc29yX3YyCnEFKGN0b3JjaC5zdG9yYWdlCl9sb2FkX2Zyb21fYnl0ZXMKcQZCPJ0AAIACigps/JxG+SBqqFAZLoACTekDLoACfXEAKFgQAAAAcHJvdG9jb2xfdmVyc2lvbn... | 1,576.890459 | 434,799 | 0.935325 | 11,075 | 0.024817 | 0 | 0 | 0 | 0 | 0 | 0 | 436,066 | 0.977157 |
e4e8ee9a0f629d72298e4d9e7b1a98a2e8e24f7f | 368 | py | Python | server/apps/gallery/models.py | arthamtrust/backend | d1981766297b1cf2888b37af927f69fde750a23e | [
"MIT"
] | null | null | null | server/apps/gallery/models.py | arthamtrust/backend | d1981766297b1cf2888b37af927f69fde750a23e | [
"MIT"
] | null | null | null | server/apps/gallery/models.py | arthamtrust/backend | d1981766297b1cf2888b37af927f69fde750a23e | [
"MIT"
] | null | null | null | from django.db import models
# Create your models here.
class Gallery(models.Model):
"""
Model for gallery. Cards with title and thumbnail
along with a link to google album
"""
title = models.CharField(max_length=200)
thumbnail = models.CharField(max_length=100)
url = models.URLField()
... | 21.647059 | 53 | 0.682065 | 309 | 0.839674 | 0 | 0 | 0 | 0 | 0 | 0 | 129 | 0.350543 |
e4ea2ae722c04bf641f0c113ed3f17b5c66cdf13 | 1,687 | py | Python | CandCPP/exp.py | Mem2019/MyCTFChallenges | cae1e7435739b9949610771cea7771014e896b18 | [
"MIT"
] | 6 | 2018-06-21T00:50:23.000Z | 2021-07-06T06:21:04.000Z | CandCPP/exp.py | Mem2019/MyCTFChallenges | cae1e7435739b9949610771cea7771014e896b18 | [
"MIT"
] | null | null | null | CandCPP/exp.py | Mem2019/MyCTFChallenges | cae1e7435739b9949610771cea7771014e896b18 | [
"MIT"
] | 3 | 2018-10-27T13:12:49.000Z | 2021-06-02T05:37:12.000Z | from pwn import *
g_local=False
e=ELF('/lib/x86_64-linux-gnu/libc-2.23.so')
context.log_level='debug'
if g_local:
sh = process('./candcpp')#, env={'LD_PRELOAD':'./libc-2.23.so'})
gdb.attach(sh)
else:
sh = remote('154.8.222.144', 9999)
MAIN_FUNC = 0x4009A0
LEAK_FUNC = 0x400E10
NAME_BUF = 0x602328
def init_name(nam... | 20.325301 | 65 | 0.665086 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 344 | 0.203912 |
e4ea6b87c9f84a19ddcae37e83769662706b405e | 2,164 | py | Python | test_interactions.py | testlnord/bomberman | 15d52073f26df970a0548e07b79514061017c73e | [
"Apache-2.0"
] | null | null | null | test_interactions.py | testlnord/bomberman | 15d52073f26df970a0548e07b79514061017c73e | [
"Apache-2.0"
] | null | null | null | test_interactions.py | testlnord/bomberman | 15d52073f26df970a0548e07b79514061017c73e | [
"Apache-2.0"
] | null | null | null |
def player_interaction(player, object):
if object[0] == 'coin':
old_objects.append(object)
game_objects[player]['coins'] += 1
def wave_interaction(wave, object):
if object[0] == 'player' or object[0] == 'soft_wall':
old_objects.append(object)
################3
old_objects = []
ga... | 26.390244 | 103 | 0.636322 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 503 | 0.23244 |
e4eb75089052398010f0fca752c0fa03e64af7f4 | 206 | py | Python | trade_system/users/admin.py | Artsiom-Shlapakou/trade-system | 41c7bd6779b159d1c867968f5230d4ccbc37995a | [
"MIT"
] | null | null | null | trade_system/users/admin.py | Artsiom-Shlapakou/trade-system | 41c7bd6779b159d1c867968f5230d4ccbc37995a | [
"MIT"
] | null | null | null | trade_system/users/admin.py | Artsiom-Shlapakou/trade-system | 41c7bd6779b159d1c867968f5230d4ccbc37995a | [
"MIT"
] | null | null | null | from django.contrib import admin
from trade_system.users.models import Wallet
from django.contrib.auth import get_user_model
User = get_user_model()
admin.site.register(User)
admin.site.register(Wallet)
| 20.6 | 46 | 0.825243 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e4ec28c7bf7bd90f9b875de7df12fd87fba4eede | 4,961 | py | Python | atlas/foundations_contrib/src/test/models/test_queued_job.py | DeepLearnI/atlas | 8aca652d7e647b4e88530b93e265b536de7055ed | [
"Apache-2.0"
] | 296 | 2020-03-16T19:55:00.000Z | 2022-01-10T19:46:05.000Z | atlas/foundations_contrib/src/test/models/test_queued_job.py | DeepLearnI/atlas | 8aca652d7e647b4e88530b93e265b536de7055ed | [
"Apache-2.0"
] | 57 | 2020-03-17T11:15:57.000Z | 2021-07-10T14:42:27.000Z | atlas/foundations_contrib/src/test/models/test_queued_job.py | DeepLearnI/atlas | 8aca652d7e647b4e88530b93e265b536de7055ed | [
"Apache-2.0"
] | 38 | 2020-03-17T21:06:05.000Z | 2022-02-08T03:19:34.000Z |
import unittest
from mock import Mock
from foundations_spec.helpers import let, let_patch_mock, let_patch_instance, set_up
from foundations_spec.helpers.spec import Spec
from foundations_contrib.models.queued_job import QueuedJob
from fakeredis import FakeRedis
class TestQueuedJob(Spec):
mock_time = let_patc... | 31.598726 | 97 | 0.702882 | 4,692 | 0.945777 | 0 | 0 | 1,752 | 0.353155 | 0 | 0 | 106 | 0.021367 |
e4efdb84b5f54430d099fe1b59a9b2291a76ef7a | 1,400 | py | Python | cidc_utils/caching/credential_cache.py | CIMAC-CIDC/cidc-utils | 2f2cf82007a3a67971293752e1dc168a7aad10e3 | [
"MIT"
] | null | null | null | cidc_utils/caching/credential_cache.py | CIMAC-CIDC/cidc-utils | 2f2cf82007a3a67971293752e1dc168a7aad10e3 | [
"MIT"
] | null | null | null | cidc_utils/caching/credential_cache.py | CIMAC-CIDC/cidc-utils | 2f2cf82007a3a67971293752e1dc168a7aad10e3 | [
"MIT"
] | null | null | null | """
Defines caching before for user preferences
"""
import jwt
import time
from cachetools import TTLCache
from typing import Optional
class CredentialCache(TTLCache):
"""
Subclass of TTLCache that temporarily stores and retreives user login credentials
Arguments:
TTLCache {TTLCache} -- A TTLCac... | 27.45098 | 102 | 0.534286 | 1,261 | 0.900714 | 0 | 0 | 0 | 0 | 0 | 0 | 664 | 0.474286 |
e4f1e6378706bc71078bf3d61ef72f03d3aa0d3c | 3,013 | py | Python | tests/test_simple_polygon.py | CompMaterSci/python-geometry | 403244252b9d8521cd4d001ec63cd768d75f5393 | [
"BSD-3-Clause"
] | 3 | 2016-07-12T13:22:53.000Z | 2019-09-20T07:48:02.000Z | tests/test_simple_polygon.py | CompMaterSci/python-geometry | 403244252b9d8521cd4d001ec63cd768d75f5393 | [
"BSD-3-Clause"
] | 3 | 2016-12-07T07:20:33.000Z | 2017-02-08T09:14:58.000Z | tests/test_simple_polygon.py | CompMaterSci/python-geometry | 403244252b9d8521cd4d001ec63cd768d75f5393 | [
"BSD-3-Clause"
] | 5 | 2016-07-13T10:40:29.000Z | 2020-07-01T07:20:41.000Z | # -*- coding: utf-8 -*-
from numpy import array
from numpy.testing import assert_allclose
from python_geometry.simple_polygon import SimplePolygon
class TestEquality(object):
def test_SelfPolygon_ReturnTrue(self):
polygon = SimplePolygon(
vertices=[
(0, 0, 0),
... | 27.144144 | 71 | 0.419184 | 2,859 | 0.948888 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0.007634 |
e4f26ad224253d8b9e159c457b1fb5ec0f23c562 | 3,432 | py | Python | docs/api/model_selection/validation_curve.py | souravsingh/yellowbrick | a5941a6c47fbe5264f3622bc15276ba618bbe1d0 | [
"Apache-2.0"
] | 1 | 2019-01-02T20:18:17.000Z | 2019-01-02T20:18:17.000Z | docs/api/model_selection/validation_curve.py | souravsingh/yellowbrick | a5941a6c47fbe5264f3622bc15276ba618bbe1d0 | [
"Apache-2.0"
] | 1 | 2018-12-26T19:50:41.000Z | 2018-12-30T18:51:43.000Z | docs/api/model_selection/validation_curve.py | souravsingh/yellowbrick | a5941a6c47fbe5264f3622bc15276ba618bbe1d0 | [
"Apache-2.0"
] | 1 | 2021-08-19T02:29:43.000Z | 2021-08-19T02:29:43.000Z | #!/usr/bin/env python3
# validation_curve.py
"""
Generates the validation curve visualizations for the documentation
"""
##########################################################################
## Imports
##########################################################################
import os
import numpy as np
import... | 28.840336 | 89 | 0.595862 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,016 | 0.296037 |
e4f3f5b2d09517330825637d500809f9259e85f8 | 14,722 | py | Python | eval/vqa_data_provider_layer.py | minsuu/vqa_mcb | cb04e7cd1ceba4e7508024e5dbdfe08d1575b007 | [
"BSD-2-Clause"
] | 214 | 2016-07-13T00:17:44.000Z | 2022-01-28T07:06:07.000Z | eval/vqa_data_provider_layer.py | afcarl/vqa-mcb | 172775b2ec927456eecbe1aa5878b673482f2a54 | [
"BSD-2-Clause"
] | 23 | 2016-07-14T07:45:59.000Z | 2019-08-15T02:56:34.000Z | eval/vqa_data_provider_layer.py | afcarl/vqa-mcb | 172775b2ec927456eecbe1aa5878b673482f2a54 | [
"BSD-2-Clause"
] | 87 | 2016-07-12T18:20:32.000Z | 2021-10-30T16:44:33.000Z | import caffe
import numpy as np
import random
import os
import sys
import re
import json
import spacy
from operator import mul
GLOVE_EMBEDDING_SIZE = 300
CURRENT_DATA_SHAPE = None
SPATIAL_COORD = None
GLOVE = None
class LoadVQADataProvider:
def __init__(self, ques_file_path, img_file_pre, vdict_path, adict_pat... | 35.73301 | 111 | 0.53831 | 14,499 | 0.984853 | 0 | 0 | 0 | 0 | 0 | 0 | 2,285 | 0.15521 |
e4f43253efd72ee6f97db976bf7d874a78157c8f | 347 | py | Python | psim/packages/tictoc/__init__.py | bburns/psimPython | 610321313a220bc413560daaf64ff2274ae05c02 | [
"MIT"
] | null | null | null | psim/packages/tictoc/__init__.py | bburns/psimPython | 610321313a220bc413560daaf64ff2274ae05c02 | [
"MIT"
] | null | null | null | psim/packages/tictoc/__init__.py | bburns/psimPython | 610321313a220bc413560daaf64ff2274ae05c02 | [
"MIT"
] | null | null | null | """
tictoc
matlab-like tic and toc functions
see https://stackoverflow.com/questions/5849800/what-is-the-python-equivalent-of-matlabs-tic-and-toc-functions
"""
import time
tics = []
def tic():
tics.append(time.process_time())
def toc():
if len(tics) == 0:
return None
else:
return time.p... | 17.35 | 110 | 0.665706 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 159 | 0.458213 |