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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b95f2f6c2258ef8998ac2a053019013dbf870640 | 2,351 | py | Python | account/views.py | KimSoungRyoul/drf_unitteset_study_project | 9a0d824bdc6343eeba6209299c077a6e9d280516 | [
"MIT"
] | null | null | null | account/views.py | KimSoungRyoul/drf_unitteset_study_project | 9a0d824bdc6343eeba6209299c077a6e9d280516 | [
"MIT"
] | null | null | null | account/views.py | KimSoungRyoul/drf_unitteset_study_project | 9a0d824bdc6343eeba6209299c077a6e9d280516 | [
"MIT"
] | null | null | null | # Create your views here.
from django.db.models import QuerySet
from django.utils.decorators import method_decorator
from drf_yasg.utils import swagger_auto_schema
from rest_framework import viewsets, status
from rest_framework.permissions import IsAuthenticated, AllowAny
from rest_framework.response import Response
fr... | 40.534483 | 103 | 0.722671 | 1,317 | 0.549896 | 0 | 0 | 1,854 | 0.774113 | 0 | 0 | 218 | 0.091023 |
b95fe9aa9fab4f285d9028f8b01c9820d83254e4 | 3,831 | py | Python | src/front-door/azext_front_door/_validators.py | Mannan2812/azure-cli-extensions | e2b34efe23795f6db9c59100534a40f0813c3d95 | [
"MIT"
] | 207 | 2017-11-29T06:59:41.000Z | 2022-03-31T10:00:53.000Z | src/front-door/azext_front_door/_validators.py | Mannan2812/azure-cli-extensions | e2b34efe23795f6db9c59100534a40f0813c3d95 | [
"MIT"
] | 4,061 | 2017-10-27T23:19:56.000Z | 2022-03-31T23:18:30.000Z | src/front-door/azext_front_door/_validators.py | Mannan2812/azure-cli-extensions | e2b34efe23795f6db9c59100534a40f0813c3d95 | [
"MIT"
] | 802 | 2017-10-11T17:36:26.000Z | 2022-03-31T22:24:32.000Z | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | 35.472222 | 119 | 0.645262 | 871 | 0.227356 | 0 | 0 | 0 | 0 | 0 | 0 | 923 | 0.240929 |
b960f3f5be88ef82754359823e7c6a9b7ed78089 | 7,763 | py | Python | mimesis/data/int/development.py | DevAerial/mimesis | 33c58ae43e2f6ebc11e5ea7ebe8ac8917b2e1c0b | [
"MIT"
] | null | null | null | mimesis/data/int/development.py | DevAerial/mimesis | 33c58ae43e2f6ebc11e5ea7ebe8ac8917b2e1c0b | [
"MIT"
] | 1 | 2022-03-26T07:46:59.000Z | 2022-03-26T07:47:20.000Z | mimesis/data/int/development.py | DevAerial/mimesis | 33c58ae43e2f6ebc11e5ea7ebe8ac8917b2e1c0b | [
"MIT"
] | null | null | null | """Provides all the data related to the development."""
LICENSES = [
"Apache License, 2.0 (Apache-2.0)",
"The BSD 3-Clause License",
"The BSD 2-Clause License",
"GNU General Public License (GPL)",
"General Public License (LGPL)",
"MIT License (MIT)",
"Mozilla Public License 2.0 (MPL-2.0)",
... | 17.845977 | 61 | 0.551977 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,167 | 0.665593 |
b962302fa813576c8cf57a4deea0db5f25dfb918 | 620 | py | Python | docs/mathparse.py | pcmoritz/flow | bc97132e9e2d05262bb6bbad5bda173fd9f4ae92 | [
"MIT"
] | 16 | 2018-05-25T06:30:28.000Z | 2020-08-08T00:03:47.000Z | docs/mathparse.py | pcmoritz/flow | bc97132e9e2d05262bb6bbad5bda173fd9f4ae92 | [
"MIT"
] | 46 | 2018-05-22T21:32:55.000Z | 2019-06-12T13:10:02.000Z | docs/mathparse.py | pcmoritz/flow | bc97132e9e2d05262bb6bbad5bda173fd9f4ae92 | [
"MIT"
] | 6 | 2018-06-22T14:59:14.000Z | 2019-08-29T06:00:34.000Z | """
A preliminary attempt at parsing an RST file's math syntax
in order to make math render as inline rather than display
mode. This doesn't work as of yet but might be useful.
It could, however, be not useful if there's a pandoc option
for converting .md to .rst that makes math inline and not
display. Keeping it arou... | 22.962963 | 70 | 0.693548 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 504 | 0.812903 |
b96253f9f9bc87e42d80842aebed3aa7dacb859b | 1,994 | py | Python | lib/layout/primitives.py | tailhook/pyzza | 610be6ee4bea9b64f8226faf7338523fdafdf2cf | [
"MIT"
] | 2 | 2015-08-07T15:39:25.000Z | 2019-03-31T12:45:37.000Z | lib/layout/primitives.py | tailhook/pyzza | 610be6ee4bea9b64f8226faf7338523fdafdf2cf | [
"MIT"
] | null | null | null | lib/layout/primitives.py | tailhook/pyzza | 610be6ee4bea9b64f8226faf7338523fdafdf2cf | [
"MIT"
] | null | null | null | from layout import Shape, Widget
from flash.text.engine import TextBlock, TextElement
@package('layout')
class Poly(Shape):
__slots__ = ('fillcolor', 'sequence')
def __init__(self, name, fillcolor, seq, states):
super().__init__(name, states)
self.fillcolor = fillcolor
self.sequence = s... | 32.688525 | 70 | 0.609829 | 1,824 | 0.914744 | 0 | 0 | 1,900 | 0.952859 | 0 | 0 | 96 | 0.048144 |
b963a238595dc05d6bc40e6f5888099b52a8fc14 | 20,515 | py | Python | tests/testing_server.py | ImportTaste/WebRequest | 0cc385622624de16ec980e0c12d9080d593cab74 | [
"WTFPL"
] | null | null | null | tests/testing_server.py | ImportTaste/WebRequest | 0cc385622624de16ec980e0c12d9080d593cab74 | [
"WTFPL"
] | null | null | null | tests/testing_server.py | ImportTaste/WebRequest | 0cc385622624de16ec980e0c12d9080d593cab74 | [
"WTFPL"
] | null | null | null |
import traceback
import uuid
import socket
import logging
import os
import base64
import zlib
import gzip
import time
import datetime
from http import cookies
from http.server import BaseHTTPRequestHandler
from http.server import HTTPServer
from threading import Thread
import WebRequest
def capture_expected_headers... | 32.929374 | 165 | 0.640653 | 17,801 | 0.867707 | 0 | 0 | 0 | 0 | 0 | 0 | 7,644 | 0.372605 |
b963e6196b8baa521ce89adb40142bf81a9183a6 | 3,770 | py | Python | calcgrades.py | qrowsxi/calcgrades | 93c71c1afef8dde5174726ae1702b71ccba633de | [
"MIT"
] | null | null | null | calcgrades.py | qrowsxi/calcgrades | 93c71c1afef8dde5174726ae1702b71ccba633de | [
"MIT"
] | null | null | null | calcgrades.py | qrowsxi/calcgrades | 93c71c1afef8dde5174726ae1702b71ccba633de | [
"MIT"
] | null | null | null | import csv
import math
import numpy as np
import pandas
import scipy.optimize
import sys
import argparse
def ineq_constraint_1(v):
return np.array([vi for vi in v])
def ineq_constraint_2(v):
return np.array([-vi + 30 for vi in v])
class WeightAverage:
def __init__(self, mean, csv):
self.df = ... | 35.566038 | 116 | 0.609284 | 1,464 | 0.388329 | 0 | 0 | 0 | 0 | 0 | 0 | 991 | 0.262865 |
b9652ceb78b45d3bef98c61d48e3cd4630133615 | 19,317 | py | Python | sdk/python/pulumi_google_native/testing/v1/test_matrix.py | AaronFriel/pulumi-google-native | 75d1cda425e33d4610348972cd70bddf35f1770d | [
"Apache-2.0"
] | 44 | 2021-04-18T23:00:48.000Z | 2022-02-14T17:43:15.000Z | sdk/python/pulumi_google_native/testing/v1/test_matrix.py | AaronFriel/pulumi-google-native | 75d1cda425e33d4610348972cd70bddf35f1770d | [
"Apache-2.0"
] | 354 | 2021-04-16T16:48:39.000Z | 2022-03-31T17:16:39.000Z | sdk/python/pulumi_google_native/testing/v1/test_matrix.py | AaronFriel/pulumi-google-native | 75d1cda425e33d4610348972cd70bddf35f1770d | [
"Apache-2.0"
] | 8 | 2021-04-24T17:46:51.000Z | 2022-01-05T10:40:21.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
fro... | 50.436031 | 458 | 0.67671 | 18,864 | 0.976549 | 0 | 0 | 15,506 | 0.802713 | 0 | 0 | 9,637 | 0.498887 |
b965c021bcb2dac479172708e85ad9ed89f09ef2 | 5,427 | py | Python | View/View.py | MoriokaReimen/ConfigHeaderGenerator | 73ba5d3bd5269d7e6881ec79b6fc0121ff2fb03e | [
"MIT"
] | null | null | null | View/View.py | MoriokaReimen/ConfigHeaderGenerator | 73ba5d3bd5269d7e6881ec79b6fc0121ff2fb03e | [
"MIT"
] | null | null | null | View/View.py | MoriokaReimen/ConfigHeaderGenerator | 73ba5d3bd5269d7e6881ec79b6fc0121ff2fb03e | [
"MIT"
] | null | null | null | import tkinter as tk
import tkinter.messagebox
from Control import Control
class View:
def __init__(self, control : Control.Control):
self.control = control
# Init Window
self.root = tk.Tk()
self.root.title(u"Header File Generator")
self.root.geometry("700x800")
se... | 43.071429 | 112 | 0.629445 | 5,350 | 0.985812 | 0 | 0 | 0 | 0 | 0 | 0 | 463 | 0.085314 |
b9669e29ffa745ca4256305d7461bcbe497cc930 | 1,428 | py | Python | tests/bugs/core_3355_test.py | FirebirdSQL/firebird-qa | 96af2def7f905a06f178e2a80a2c8be4a4b44782 | [
"MIT"
] | 1 | 2022-02-05T11:37:13.000Z | 2022-02-05T11:37:13.000Z | tests/bugs/core_3355_test.py | FirebirdSQL/firebird-qa | 96af2def7f905a06f178e2a80a2c8be4a4b44782 | [
"MIT"
] | 1 | 2021-09-03T11:47:00.000Z | 2021-09-03T12:42:10.000Z | tests/bugs/core_3355_test.py | FirebirdSQL/firebird-qa | 96af2def7f905a06f178e2a80a2c8be4a4b44782 | [
"MIT"
] | 1 | 2021-06-30T14:14:16.000Z | 2021-06-30T14:14:16.000Z | #coding:utf-8
#
# id: bugs.core_3355
# title: Wrong comparsion of DATE and TIMESTAMP if index is used
# decription:
# tracker_id: CORE-3355
# min_versions: ['2.1.5']
# versions: 3.0
# qmid: None
import pytest
from firebird.qa import db_factory, isql_act, Action
# version: 3.0
# resou... | 25.052632 | 95 | 0.641457 | 0 | 0 | 0 | 0 | 183 | 0.128151 | 0 | 0 | 953 | 0.667367 |
b967ba0197b144171458b230c2dfe31844ba0b72 | 5,231 | py | Python | dags/download_decrypt_transfer_files.py | hms-dbmi/bch-pic-sure-airflow-dags | 0c1e6f07da4e270581942e551ac30284474921d4 | [
"Apache-2.0"
] | null | null | null | dags/download_decrypt_transfer_files.py | hms-dbmi/bch-pic-sure-airflow-dags | 0c1e6f07da4e270581942e551ac30284474921d4 | [
"Apache-2.0"
] | null | null | null | dags/download_decrypt_transfer_files.py | hms-dbmi/bch-pic-sure-airflow-dags | 0c1e6f07da4e270581942e551ac30284474921d4 | [
"Apache-2.0"
] | null | null | null | """
@author: anilkdegala
"""
import os
from airflow import DAG
from airflow.operators.bash_operator import BashOperator
from airflow.operators.python_operator import PythonOperator, BranchPythonOperator
from datetime import date, timedelta, datetime
from collections import OrderedDict
from scripts.dag_pebbles import ... | 30.770588 | 171 | 0.664118 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,239 | 0.236857 |
b96834dcae4311b040352e86ae4bdc019619193a | 7,518 | py | Python | keystone-moon/keystone/endpoint_policy/controllers.py | hashnfv/hashnfv-moon | daaba34fa2ed4426bc0fde359e54a5e1b872208c | [
"Apache-2.0"
] | null | null | null | keystone-moon/keystone/endpoint_policy/controllers.py | hashnfv/hashnfv-moon | daaba34fa2ed4426bc0fde359e54a5e1b872208c | [
"Apache-2.0"
] | null | null | null | keystone-moon/keystone/endpoint_policy/controllers.py | hashnfv/hashnfv-moon | daaba34fa2ed4426bc0fde359e54a5e1b872208c | [
"Apache-2.0"
] | 1 | 2021-03-21T11:38:30.000Z | 2021-03-21T11:38:30.000Z | # Copyright 2014 IBM Corp.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, s... | 45.017964 | 79 | 0.699654 | 6,754 | 0.898377 | 0 | 0 | 6,827 | 0.908087 | 0 | 0 | 1,723 | 0.229183 |
b96893ff0c22487256e91c812d37a56c2c479eb3 | 11,886 | py | Python | src/nibetaseries/cli/run.py | ipacheco-uy/NiBetaSeries | 3d8716552f22f925524d80af9aace09469c22d4d | [
"MIT"
] | 1 | 2019-10-03T21:20:48.000Z | 2019-10-03T21:20:48.000Z | src/nibetaseries/cli/run.py | ipacheco-uy/NiBetaSeries | 3d8716552f22f925524d80af9aace09469c22d4d | [
"MIT"
] | null | null | null | src/nibetaseries/cli/run.py | ipacheco-uy/NiBetaSeries | 3d8716552f22f925524d80af9aace09469c22d4d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Module that contains the command line app.
Why does this file exist, and why not put this in __main__?
You might be tempted to import things from __main__ later, but that will cause
problems: the code will get executed twice:
- When you run `python -m nibetaser... | 46.611765 | 98 | 0.595406 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,930 | 0.414774 |
b9693ae1ef191dd2735a2abba99bb1bc689af26f | 2,727 | py | Python | custom_components/senz/config_flow.py | astrandb/senz_hass | 6725d37fd9c6d250ac10a16e68c56908bf1c8404 | [
"MIT"
] | 2 | 2022-01-15T09:55:58.000Z | 2022-02-10T10:13:35.000Z | custom_components/senz/config_flow.py | astrandb/senz_hass | 6725d37fd9c6d250ac10a16e68c56908bf1c8404 | [
"MIT"
] | 4 | 2022-01-15T19:41:28.000Z | 2022-02-14T16:01:47.000Z | custom_components/senz/config_flow.py | astrandb/senz_hass | 6725d37fd9c6d250ac10a16e68c56908bf1c8404 | [
"MIT"
] | null | null | null | """Config flow for SENZ WiFi."""
from __future__ import annotations
import logging
from typing import Any
import voluptuous as vol
from homeassistant.components import persistent_notification
from homeassistant.data_entry_flow import FlowResult
from homeassistant.helpers import config_entry_oauth2_flow
from .const ... | 34.518987 | 184 | 0.671067 | 2,363 | 0.86652 | 0 | 0 | 321 | 0.117712 | 1,829 | 0.6707 | 708 | 0.259626 |
b9697b05a9b44247d80463465fa92118d707fb98 | 6,465 | py | Python | astropy_helpers/git_helpers.py | bsipocz/astropy-helpers | 4999df1cfb6a5022347b0cef9caf8a556517c625 | [
"PSF-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | 9 | 2019-12-06T13:12:33.000Z | 2021-10-05T12:47:15.000Z | astropy_helpers/git_helpers.py | bsipocz/astropy-helpers | 4999df1cfb6a5022347b0cef9caf8a556517c625 | [
"PSF-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | 2 | 2019-11-28T17:20:27.000Z | 2019-12-09T18:44:35.000Z | astropy_helpers/git_helpers.py | bsipocz/astropy-helpers | 4999df1cfb6a5022347b0cef9caf8a556517c625 | [
"PSF-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | 3 | 2019-11-28T17:04:22.000Z | 2021-10-19T13:12:34.000Z | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
Utilities for retrieving revision information from a project's git repository.
"""
# Do not remove the following comment; it is used by
# astropy_helpers.version_helpers to determine the beginning of the code in
# this module
# BEGIN
import locale
... | 33.324742 | 79 | 0.612065 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,176 | 0.491261 |
b96b280416f0d557826ffa670a7914f2d45e5fc5 | 526 | py | Python | src/sot_talos_balance/test/test_feet_admittance.py | imaroger/sot-talos-balance | 5e56700b4e105273ecf6feb3474789beac469a77 | [
"BSD-2-Clause"
] | null | null | null | src/sot_talos_balance/test/test_feet_admittance.py | imaroger/sot-talos-balance | 5e56700b4e105273ecf6feb3474789beac469a77 | [
"BSD-2-Clause"
] | null | null | null | src/sot_talos_balance/test/test_feet_admittance.py | imaroger/sot-talos-balance | 5e56700b4e105273ecf6feb3474789beac469a77 | [
"BSD-2-Clause"
] | null | null | null | '''Test feet admittance control'''
from sot_talos_balance.utils.run_test_utils import run_ft_calibration, run_test, runCommandClient
try:
# Python 2
input = raw_input # noqa
except NameError:
pass
run_test('appli_feet_admittance.py')
run_ft_calibration('robot.ftc')
input("Wait before running the test")
... | 25.047619 | 97 | 0.752852 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 266 | 0.505703 |
b96bb8e94e8bbfe556cc0ad3a314b6991573aa47 | 544 | py | Python | tests/test_db.py | davebryson/py-tendermint | ec6a38a54950d9841759b0f2ed93659b58948a03 | [
"Apache-2.0"
] | 24 | 2017-08-18T20:36:27.000Z | 2020-03-27T08:55:39.000Z | tests/test_db.py | davebryson/py-tendermint | ec6a38a54950d9841759b0f2ed93659b58948a03 | [
"Apache-2.0"
] | 6 | 2017-10-14T05:50:34.000Z | 2019-06-03T08:39:49.000Z | tests/test_db.py | davebryson/py-tendermint | ec6a38a54950d9841759b0f2ed93659b58948a03 | [
"Apache-2.0"
] | 5 | 2018-01-09T11:07:06.000Z | 2019-06-02T14:34:34.000Z | import os
from tendermint.db import VanillaDB
from tendermint.utils import home_dir
def test_database():
dbfile = home_dir('temp', 'test.db')
db = VanillaDB(dbfile)
db.set(b'dave',b'one')
result = db.get(b'dave')
assert(b'one' == result)
db.set(b'dave',b'two')
result = db.get(b'dave')
... | 20.923077 | 42 | 0.621324 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 102 | 0.1875 |
b96d766a7c5eab27eb3785b1277b6beccda7c9ed | 1,446 | py | Python | auth/tests/test_views.py | asb29/Redundant | ee816fd41f9217610bd11f757cf9175288723c70 | [
"MIT"
] | null | null | null | auth/tests/test_views.py | asb29/Redundant | ee816fd41f9217610bd11f757cf9175288723c70 | [
"MIT"
] | null | null | null | auth/tests/test_views.py | asb29/Redundant | ee816fd41f9217610bd11f757cf9175288723c70 | [
"MIT"
] | null | null | null | from django.test import TestCase
from django.test import Client
class RegisterTestCase(TestCase):
def test_register(self):
c = Client()
# on success redirects to /
response = c.post('/accounts/register/', {
'username': 'asdas',
'password1': 'asdasdasd12',
... | 30.125 | 52 | 0.53527 | 1,379 | 0.953665 | 0 | 0 | 0 | 0 | 0 | 0 | 533 | 0.368603 |
b96f6c5854c1e905c9ad5d8f08d016972c710a1f | 4,134 | py | Python | projects/OneNet/onenet/head.py | iFighting/OneNet | 6e33b46d2aa13131262833c75f0fd1c3d224ef03 | [
"MIT"
] | 2 | 2021-06-16T01:31:17.000Z | 2021-11-25T15:27:28.000Z | projects/OneNet/onenet/head.py | xieenze/OneNet | 3b06ad6832727cef4c0262389de4cdbb2a666197 | [
"MIT"
] | null | null | null | projects/OneNet/onenet/head.py | xieenze/OneNet | 3b06ad6832727cef4c0262389de4cdbb2a666197 | [
"MIT"
] | 1 | 2021-02-04T06:38:42.000Z | 2021-02-04T06:38:42.000Z | #
# Modified by Peize Sun
# Contact: [email protected]
#
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
OneNet Transformer class.
Copy-paste from torch.nn.Transformer with modifications:
* positional encodings are passed in MHattention
* extra LN at the end of encoder is removed
... | 32.296875 | 94 | 0.600871 | 3,152 | 0.762458 | 0 | 0 | 859 | 0.207789 | 0 | 0 | 830 | 0.200774 |
b96fae5c29fd446ea7199733a629bbe0f6190046 | 49,876 | py | Python | mermaid/utils.py | HastingsGreer/mermaid | bd13c5fc427eb8cd9054973a8eaaeb302078182d | [
"Apache-2.0"
] | 120 | 2019-10-29T23:53:02.000Z | 2022-03-30T02:59:58.000Z | mermaid/utils.py | AlexanderChristgau/mermaid | ba07883cc3cb5982e4655048a434b4495cb49c6d | [
"Apache-2.0"
] | 10 | 2019-11-05T09:28:35.000Z | 2022-01-09T19:12:51.000Z | mermaid/utils.py | AlexanderChristgau/mermaid | ba07883cc3cb5982e4655048a434b4495cb49c6d | [
"Apache-2.0"
] | 19 | 2019-11-10T13:34:39.000Z | 2022-03-13T20:30:10.000Z | """Various utility functions.
.. todo::
Reorganize this package in a more meaningful way.
"""
from __future__ import print_function
from __future__ import absolute_import
# from builtins import str
# from builtins import range
import torch
from torch.nn.parameter import Parameter
from torch.autograd import Variab... | 34.805304 | 130 | 0.602675 | 6,600 | 0.132328 | 0 | 0 | 0 | 0 | 0 | 0 | 17,362 | 0.348103 |
b96fca03cef0164231c4fa09bc83db6c5b2aa7db | 1,093 | py | Python | examples/io/plot_read_evoked.py | fmamashli/mne-python | 52f064415e7c9fa8fe243d22108dcdf3d86505b9 | [
"BSD-3-Clause"
] | 3 | 2021-01-04T08:45:56.000Z | 2021-05-19T12:25:59.000Z | examples/io/plot_read_evoked.py | fmamashli/mne-python | 52f064415e7c9fa8fe243d22108dcdf3d86505b9 | [
"BSD-3-Clause"
] | 28 | 2020-05-07T00:58:34.000Z | 2020-08-29T23:02:17.000Z | examples/io/plot_read_evoked.py | fmamashli/mne-python | 52f064415e7c9fa8fe243d22108dcdf3d86505b9 | [
"BSD-3-Clause"
] | 3 | 2019-01-28T13:48:00.000Z | 2019-07-10T16:02:11.000Z | """
==================================
Reading and writing an evoked file
==================================
This script shows how to read and write evoked datasets.
"""
# Author: Alexandre Gramfort <[email protected]>
#
# License: BSD (3-clause)
from mne import read_evokeds
from mne.datasets import sample
... | 29.540541 | 79 | 0.569076 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 751 | 0.6871 |
b970d836b7397be4bc4d63762c0eec8adfb90a91 | 611 | py | Python | source/monkeyPatches/__init__.py | lukaszgo1/nvda | 38a2efd1e1bff7db4471cb7afa03ab1590b7adef | [
"bzip2-1.0.6"
] | 19 | 2016-05-11T05:15:31.000Z | 2022-03-17T12:40:10.000Z | source/monkeyPatches/__init__.py | lukaszgo1/nvda | 38a2efd1e1bff7db4471cb7afa03ab1590b7adef | [
"bzip2-1.0.6"
] | 307 | 2015-08-27T11:22:33.000Z | 2022-03-29T10:43:34.000Z | source/monkeyPatches/__init__.py | lukaszgo1/nvda | 38a2efd1e1bff7db4471cb7afa03ab1590b7adef | [
"bzip2-1.0.6"
] | 14 | 2016-03-28T07:31:49.000Z | 2022-03-30T04:56:35.000Z | # A part of NonVisual Desktop Access (NVDA)
# Copyright (C) 2021 NV Access Limited
# This file is covered by the GNU General Public License.
# See the file COPYING for more details.
from . import wxMonkeyPatches
applyWxMonkeyPatches = wxMonkeyPatches.apply
def applyMonkeyPatches():
# Apply several mon... | 30.55 | 86 | 0.761047 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 387 | 0.633388 |
b970f8ccb56e24dd8d65fd92869bbf7790f6e611 | 5,298 | py | Python | yt_dlp/extractor/ninenow.py | nxtreaming/yt-dlp | 385ffb467b2285e85a2a5495b90314ba1f8e0700 | [
"Unlicense"
] | 11 | 2022-01-06T22:09:50.000Z | 2022-03-12T22:26:22.000Z | yt_dlp/extractor/ninenow.py | nxtreaming/yt-dlp | 385ffb467b2285e85a2a5495b90314ba1f8e0700 | [
"Unlicense"
] | 4 | 2022-02-25T08:20:18.000Z | 2022-03-17T16:16:20.000Z | yt_dlp/extractor/ninenow.py | nxtreaming/yt-dlp | 385ffb467b2285e85a2a5495b90314ba1f8e0700 | [
"Unlicense"
] | 3 | 2022-02-19T08:59:13.000Z | 2022-03-06T16:11:21.000Z | from .common import InfoExtractor
from ..compat import compat_str
from ..utils import (
ExtractorError,
int_or_none,
float_or_none,
smuggle_url,
str_or_none,
try_get,
unified_strdate,
unified_timestamp,
)
class NineNowIE(InfoExtractor):
IE_NAME = '9now.com.au'
_VALID_URL = r'ht... | 43.073171 | 146 | 0.575123 | 5,058 | 0.9547 | 0 | 0 | 0 | 0 | 0 | 0 | 1,871 | 0.353152 |
b97242dec299cf214174fe1ceb1c2d4c7e16b595 | 4,783 | py | Python | apex/fp16_utils/fused_weight_norm.py | mcarilli/apex | 766e36c9e10fe4efd847c3f77c3b38974c89eab1 | [
"BSD-3-Clause"
] | 1 | 2020-05-05T01:37:42.000Z | 2020-05-05T01:37:42.000Z | apex/fp16_utils/fused_weight_norm.py | mcarilli/apex | 766e36c9e10fe4efd847c3f77c3b38974c89eab1 | [
"BSD-3-Clause"
] | 1 | 2018-06-24T18:56:56.000Z | 2018-06-24T18:56:56.000Z | apex/fp16_utils/fused_weight_norm.py | mcarilli/apex | 766e36c9e10fe4efd847c3f77c3b38974c89eab1 | [
"BSD-3-Clause"
] | 1 | 2020-07-03T00:37:20.000Z | 2020-07-03T00:37:20.000Z | import torch
from torch.autograd import Variable
from torch.autograd.function import Function, once_differentiable
import apex_C
def check_contig_cuda(tensors, names):
for tensor, name in zip(tensors, names):
if not tensor.is_contiguous():
raise RuntimeError(name+" with size {} is not contiguou... | 41.95614 | 175 | 0.604223 | 4,238 | 0.886055 | 0 | 0 | 3,733 | 0.780473 | 0 | 0 | 2,826 | 0.590843 |
b9724b70833f729e47c38eb018294247250b7282 | 23,312 | py | Python | bzt/modules/grinder.py | gerardorf/taurus | 610872b4cf70af31d79a346db1aebd3466310d77 | [
"Apache-2.0"
] | 1 | 2019-01-15T17:23:58.000Z | 2019-01-15T17:23:58.000Z | bzt/modules/grinder.py | gerardorf/taurus | 610872b4cf70af31d79a346db1aebd3466310d77 | [
"Apache-2.0"
] | null | null | null | bzt/modules/grinder.py | gerardorf/taurus | 610872b4cf70af31d79a346db1aebd3466310d77 | [
"Apache-2.0"
] | null | null | null | """
Module holds all stuff regarding Grinder tool usage
Copyright 2015 BlazeMeter Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless require... | 40.82662 | 119 | 0.618823 | 22,046 | 0.945693 | 1,254 | 0.053792 | 150 | 0.006434 | 0 | 0 | 5,650 | 0.242364 |
b972e358701b6b26d8d3c931dfecc57580620c15 | 467 | py | Python | test/Fortran/fixture/myfortran_flags.py | moroten/scons | 20927b42ed4f0cb87f51287fa3b4b6cf915afcf8 | [
"MIT"
] | 1,403 | 2017-11-23T14:24:01.000Z | 2022-03-30T20:59:39.000Z | test/Fortran/fixture/myfortran_flags.py | moroten/scons | 20927b42ed4f0cb87f51287fa3b4b6cf915afcf8 | [
"MIT"
] | 3,708 | 2017-11-27T13:47:12.000Z | 2022-03-29T17:21:17.000Z | test/Fortran/fixture/myfortran_flags.py | moroten/scons | 20927b42ed4f0cb87f51287fa3b4b6cf915afcf8 | [
"MIT"
] | 281 | 2017-12-01T23:48:38.000Z | 2022-03-31T15:25:44.000Z | import getopt
import sys
comment = ('#' + sys.argv[1]).encode()
opts, args = getopt.getopt(sys.argv[2:], 'cf:o:xy')
optstring = ''
length = len(comment)
for opt, arg in opts:
if opt == '-o': out = arg
elif opt not in ('-f', '-K'): optstring = optstring + ' ' + opt
infile = open(args[0], 'rb')
outfile = open(out... | 27.470588 | 67 | 0.601713 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 41 | 0.087794 |
b9736fc25869ac44481082e255dc93e0f52aa441 | 9,015 | py | Python | zen_knit/organizer/__init__.py | Zen-Reportz/zen_knit | 104c2693d2cc61520657131da769f5d59d2df8e9 | [
"MIT"
] | 30 | 2021-12-25T15:39:42.000Z | 2022-02-25T04:53:44.000Z | zen_knit/organizer/__init__.py | Zen-Reportz/zen_knit | 104c2693d2cc61520657131da769f5d59d2df8e9 | [
"MIT"
] | 11 | 2022-01-02T22:10:07.000Z | 2022-02-02T00:56:33.000Z | zen_knit/organizer/__init__.py | Zen-Reportz/zen_knit | 104c2693d2cc61520657131da769f5d59d2df8e9 | [
"MIT"
] | 2 | 2022-01-27T13:22:46.000Z | 2022-01-30T05:01:59.000Z | import io
import os
import base64
from pathlib import Path
from nbconvert import filters
from pygments.formatters.latex import LatexFormatter
from zen_knit import formattor
from zen_knit.data_types import ChunkOption, ExecutedData, OrganizedChunk, OrganizedData
from zen_knit.formattor.html_formatter import HTMLFormat... | 37.5625 | 139 | 0.533888 | 8,590 | 0.952856 | 0 | 0 | 173 | 0.01919 | 0 | 0 | 1,463 | 0.162285 |
b974558759b358f82c2d72d79bab9c7dc3e35a76 | 12,467 | py | Python | qibullet/robot_virtual.py | mcaniot/qibullet | 9c5e1b319a18dd289263eb82f9d7303429bcbe21 | [
"Apache-2.0"
] | null | null | null | qibullet/robot_virtual.py | mcaniot/qibullet | 9c5e1b319a18dd289263eb82f9d7303429bcbe21 | [
"Apache-2.0"
] | null | null | null | qibullet/robot_virtual.py | mcaniot/qibullet | 9c5e1b319a18dd289263eb82f9d7303429bcbe21 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
import sys
import pybullet
from qibullet.camera import *
from qibullet.link import Link
from qibullet.joint import Joint
IS_VERSION_PYTHON_3 = sys.version_info[0] >= 3
class RobotVirtual:
"""
Mother class representing a virtual robot
"""
def __init__(self, desc... | 35.31728 | 79 | 0.593006 | 12,256 | 0.983075 | 0 | 0 | 0 | 0 | 0 | 0 | 5,530 | 0.443571 |
b974d5d1bd35654f50415a8f7c66f3fb9a0316ab | 704 | py | Python | tests/test_formatter.py | hbraux/kafkacli | 5f7ed23150932b66b484fb43dd6210b6c0968776 | [
"MIT"
] | null | null | null | tests/test_formatter.py | hbraux/kafkacli | 5f7ed23150932b66b484fb43dd6210b6c0968776 | [
"MIT"
] | null | null | null | tests/test_formatter.py | hbraux/kafkacli | 5f7ed23150932b66b484fb43dd6210b6c0968776 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import pytest
import json
from kafkacli.formatter import Formatter
sampleJson = json.loads('{"a":"s", "b":1}')
def test_print_default(capsys):
Formatter().print(sampleJson)
captured = capsys.readouterr()
assert captured.out == '{"a": "s", "b": 1}\n... | 24.275862 | 62 | 0.640625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 173 | 0.245739 |
b9750e636d7a3d49a65558af431533fc2e745edb | 187 | py | Python | src/jobs/forms.py | arc198/DJANGO-JOB-SITE | d9547c4ee85751677ba6458380b609973c3b4a8d | [
"MIT"
] | 20 | 2018-05-04T18:42:35.000Z | 2021-03-18T07:15:12.000Z | src/jobs/forms.py | fleepgeek/django-jobsite | d9547c4ee85751677ba6458380b609973c3b4a8d | [
"MIT"
] | 5 | 2020-02-11T22:22:33.000Z | 2021-06-10T20:18:05.000Z | src/jobs/forms.py | arc198/DJANGO-JOB-SITE | d9547c4ee85751677ba6458380b609973c3b4a8d | [
"MIT"
] | 8 | 2018-05-04T19:03:23.000Z | 2020-09-23T00:24:46.000Z | from django import forms
from .models import Application
class ApplicationForm(forms.ModelForm):
class Meta:
model = Application
fields = ('resume', 'cover_letter',) | 23.375 | 44 | 0.700535 | 128 | 0.684492 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0.117647 |
b975e6fb7fb3fa8849afb4e4ce41618c2ce94c1b | 451 | py | Python | src/test/tests/unit/protocol.py | ylee88/visit | 8e0920996d84fef70a7014b0d770360918d849d5 | [
"BSD-3-Clause"
] | 1 | 2022-01-27T23:52:04.000Z | 2022-01-27T23:52:04.000Z | src/test/tests/unit/protocol.py | ylee88/visit | 8e0920996d84fef70a7014b0d770360918d849d5 | [
"BSD-3-Clause"
] | null | null | null | src/test/tests/unit/protocol.py | ylee88/visit | 8e0920996d84fef70a7014b0d770360918d849d5 | [
"BSD-3-Clause"
] | null | null | null | # ----------------------------------------------------------------------------
# CLASSES: nightly
#
# Test Case: protocolo.py
#
# Tests: vistprotocol unit test
#
# Mark C. Miller, Tue Jan 11 10:19:23 PST 2011
# ----------------------------------------------------------------------------
tapp = visit_bin_path(... | 26.529412 | 78 | 0.432373 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 317 | 0.702882 |
b97645cb1bc48b7d30c6b37e139952912087b791 | 3,348 | py | Python | pyMazeBacktrack.py | Dozed12/pyMazeBacktrack | aaa2a902fdca17dca6e2ee00e672b6bb38da5639 | [
"MIT"
] | 2 | 2019-02-22T10:35:25.000Z | 2020-08-11T01:25:12.000Z | pyMazeBacktrack.py | Dozed12/pyMazeBacktrack | aaa2a902fdca17dca6e2ee00e672b6bb38da5639 | [
"MIT"
] | null | null | null | pyMazeBacktrack.py | Dozed12/pyMazeBacktrack | aaa2a902fdca17dca6e2ee00e672b6bb38da5639 | [
"MIT"
] | null | null | null | import libtcodpy as libtcod
from random import randint
nSquares = 30
nTiles = nSquares * 2 + 1
SCREEN_WIDTH = nTiles
SCREEN_HEIGHT = nTiles
libtcod.console_set_custom_font("cp437_12x12.png", libtcod.FONT_LAYOUT_ASCII_INROW)
libtcod.console_init_root(SCREEN_WIDTH, SCREEN_HEIGHT, 'pyMazeBacktrack', False, li... | 20.168675 | 106 | 0.496416 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 48 | 0.014337 |
b978586a0e39802db346feaf3a0aa1c91c336f05 | 3,011 | py | Python | source/tests/test_resources.py | aws-solutions/maintaining-personalized-experiences-with-machine-learning | 3f6f1b0069df4828eae9b0835b717500189e4f71 | [
"Apache-2.0"
] | 6 | 2021-09-23T16:33:24.000Z | 2022-03-31T11:45:13.000Z | source/tests/test_resources.py | aws-solutions/maintaining-personalized-experiences-with-machine-learning | 3f6f1b0069df4828eae9b0835b717500189e4f71 | [
"Apache-2.0"
] | 4 | 2021-09-24T21:34:14.000Z | 2022-01-27T22:11:08.000Z | source/tests/test_resources.py | aws-solutions/maintaining-personalized-experiences-with-machine-learning | 3f6f1b0069df4828eae9b0835b717500189e4f71 | [
"Apache-2.0"
] | 9 | 2021-09-23T23:24:46.000Z | 2022-02-12T04:53:16.000Z | # ######################################################################################################################
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. #
# ... | 42.408451 | 120 | 0.454334 | 0 | 0 | 0 | 0 | 1,332 | 0.442378 | 0 | 0 | 2,027 | 0.673198 |
b9787b11fbcd5779df09a2f0f27e44e75ad576ac | 1,870 | py | Python | app_venv/Lib/site-packages/phonenumbers/data/region_AG.py | orlandofv/sianna | f07dd6dbc62a9604f31ab800e482e62f14fba766 | [
"MIT"
] | null | null | null | app_venv/Lib/site-packages/phonenumbers/data/region_AG.py | orlandofv/sianna | f07dd6dbc62a9604f31ab800e482e62f14fba766 | [
"MIT"
] | null | null | null | app_venv/Lib/site-packages/phonenumbers/data/region_AG.py | orlandofv/sianna | f07dd6dbc62a9604f31ab800e482e62f14fba766 | [
"MIT"
] | null | null | null | """Auto-generated file, do not edit by hand. AG metadata"""
from ..phonemetadata import NumberFormat, PhoneNumberDesc, PhoneMetadata
PHONE_METADATA_AG = PhoneMetadata(id='AG', country_code=1, international_prefix='011',
general_desc=PhoneNumberDesc(national_number_pattern='(?:268|[58]\\d\\d|900)\\d{7}', possible_l... | 103.888889 | 352 | 0.711765 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 638 | 0.341176 |
b97884a1b2bbd76cce01bb9efe2744d31832af25 | 2,182 | py | Python | gradefiles-send.py | lapets/bu-gsubmit-grading | 69c40a763908be1c954dce3e5e5aab854ac379ff | [
"MIT"
] | 3 | 2016-10-03T15:29:20.000Z | 2019-06-28T17:33:06.000Z | gradefiles-send.py | lapets/bu-gsubmit-grading | 69c40a763908be1c954dce3e5e5aab854ac379ff | [
"MIT"
] | null | null | null | gradefiles-send.py | lapets/bu-gsubmit-grading | 69c40a763908be1c954dce3e5e5aab854ac379ff | [
"MIT"
] | null | null | null | #####################################################################
##
## gradefiles-send.py
##
## Script to send grade files by email to enrolled students; the
## input grade file names should correspond to the user names of
## the students.
##
##
from email.mime.text import MIMEText # For creating a message... | 33.569231 | 112 | 0.519707 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,177 | 0.539413 |
b9789c0f2981942a54633089abdf3245b58a73a3 | 1,227 | py | Python | Publisher/PGGAN-1024 trained on CelebaHQ/2-exporter.py | GalAster/16 | 47560a2132fbe4dda35a35dedfd7d8e6a8acc35a | [
"Unlicense"
] | 3 | 2019-10-03T01:51:38.000Z | 2019-10-04T16:15:43.000Z | Publisher/PGGAN-1024 trained on CelebaHQ/2-exporter.py | GalAster/16 | 47560a2132fbe4dda35a35dedfd7d8e6a8acc35a | [
"Unlicense"
] | null | null | null | Publisher/PGGAN-1024 trained on CelebaHQ/2-exporter.py | GalAster/16 | 47560a2132fbe4dda35a35dedfd7d8e6a8acc35a | [
"Unlicense"
] | 1 | 2020-03-17T12:58:52.000Z | 2020-03-17T12:58:52.000Z | import os
import pickle
import tensorflow as tf
import wolframclient.serializers as wxf
name = 'karras2018iclr-celebahq-1024x1024'
file = open(name + '.pkl', 'rb')
sess = tf.InteractiveSession()
G, D, Gs = pickle.load(file)
saver = tf.train.Saver()
save_path = "./target/" + name + "/"
model_name = 'model'
if not os.pa... | 34.083333 | 74 | 0.726976 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 216 | 0.173494 |
b978dfcb152bc099b2de54896ed9a54dfbc29639 | 6,890 | py | Python | src/moveGoogle.py | Quanta-Robotics/Robot-Blueberry | 7b7e77e09ac5e9ec5afd947e0db1ecc8773e56da | [
"MIT"
] | 25 | 2021-06-08T07:09:30.000Z | 2021-12-30T06:28:35.000Z | src/moveGoogle.py | ICT-CoU/Robot-Blueberry | d19fd1be037df9d67de64df57a87006d74cd6c43 | [
"MIT"
] | 2 | 2021-05-23T12:54:51.000Z | 2021-06-07T17:47:56.000Z | src/moveGoogle.py | ICT-CoU/Robot-Blueberry | d19fd1be037df9d67de64df57a87006d74cd6c43 | [
"MIT"
] | 14 | 2021-06-08T13:02:28.000Z | 2021-12-30T20:07:18.000Z | #!/usr/bin/env python
import os
import os.path
import yaml
import time
import random
import multiprocessing
import RPi.GPIO as GPIO
from talk import say
GPIO.setwarnings(False)
GPIO.setmode(GPIO.BCM)
from adafruit_servokit import ServoKit
Motor1 = {'EN': 27, 'input1': 19, 'input2': 16}
Motor2 = {'EN': 22, 'input1': 2... | 25.330882 | 154 | 0.560377 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 456 | 0.066183 |
b978fbbcd4002601ca1e2723cae4385002e671d8 | 2,063 | py | Python | src/onegov/translator_directory/models/language.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/translator_directory/models/language.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/translator_directory/models/language.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from uuid import uuid4
from sqlalchemy import Index, Column, Text, Table, ForeignKey
from sqlalchemy.orm import object_session
from onegov.core.orm import Base
from onegov.core.orm.types import UUID
spoken_association_table = Table(
'spoken_lang_association',
Base.metadata,
Column(
'translator_i... | 25.469136 | 79 | 0.650994 | 1,028 | 0.498303 | 0 | 0 | 773 | 0.374697 | 0 | 0 | 305 | 0.147843 |
b97a0b2a9f0b601569ce8973596517ed7d8790ec | 3,588 | py | Python | tfjs-converter/python/tensorflowjs/converters/graph_rewrite_util.py | djemeljanovs/tfjs | ee4430cd7a04283ec09184a3fe9d3fb27496f1dc | [
"Apache-2.0"
] | null | null | null | tfjs-converter/python/tensorflowjs/converters/graph_rewrite_util.py | djemeljanovs/tfjs | ee4430cd7a04283ec09184a3fe9d3fb27496f1dc | [
"Apache-2.0"
] | null | null | null | tfjs-converter/python/tensorflowjs/converters/graph_rewrite_util.py | djemeljanovs/tfjs | ee4430cd7a04283ec09184a3fe9d3fb27496f1dc | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, s... | 33.849057 | 80 | 0.726031 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,035 | 0.567168 |
b97af59ee4283114481f3e83dc8e3cf6244bb61c | 1,014 | py | Python | loss_fn/classification_loss_fns/binary_cross_entropy.py | apple/ml-cvnets | 84d992f413e52c0468f86d23196efd9dad885e6f | [
"AML"
] | 209 | 2021-10-30T08:32:10.000Z | 2022-03-31T16:18:03.000Z | loss_fn/classification_loss_fns/binary_cross_entropy.py | apple/ml-cvnets | 84d992f413e52c0468f86d23196efd9dad885e6f | [
"AML"
] | 12 | 2021-12-04T10:47:11.000Z | 2022-03-31T15:39:40.000Z | loss_fn/classification_loss_fns/binary_cross_entropy.py | apple/ml-cvnets | 84d992f413e52c0468f86d23196efd9dad885e6f | [
"AML"
] | 50 | 2021-11-01T08:15:02.000Z | 2022-03-29T08:17:34.000Z | #
# For licensing see accompanying LICENSE file.
# Copyright (C) 2022 Apple Inc. All Rights Reserved.
#
from torch.nn import functional as F
from torch import Tensor
import argparse
from . import register_classification_loss_fn
from .. import BaseCriteria
@register_classification_loss_fn(name="binary_cross_entropy"... | 28.166667 | 87 | 0.667653 | 691 | 0.68146 | 0 | 0 | 753 | 0.742604 | 0 | 0 | 173 | 0.170611 |
b97c7f15dd61f4851cffcb3982337f852b3b8da5 | 576 | py | Python | Sorting/insertion_sort.py | lakshyarawal/pythonPractice | 4b400342198a8270c5ac0c6306afb555f927c6c1 | [
"MIT"
] | null | null | null | Sorting/insertion_sort.py | lakshyarawal/pythonPractice | 4b400342198a8270c5ac0c6306afb555f927c6c1 | [
"MIT"
] | null | null | null | Sorting/insertion_sort.py | lakshyarawal/pythonPractice | 4b400342198a8270c5ac0c6306afb555f927c6c1 | [
"MIT"
] | null | null | null | """ Insertion Sort Algorithm:"""
"""Implementation"""
def insertion_sort(arr) -> list:
n = len(arr)
for i in range(1, n):
swap_index = i
for j in range(i-1, -1, -1):
if arr[swap_index] < arr[j]:
arr[swap_index], arr[j] = arr[j], arr[swap_index]
swa... | 19.2 | 65 | 0.522569 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 0.173611 |
b97c828450c34038ee92e089e3f2b951d2113017 | 903 | py | Python | nipype/interfaces/spm/__init__.py | felixsc1/nipype | e722d6170593583f16ddfcb95473e5d30b5f1d7c | [
"Apache-2.0"
] | 8 | 2019-05-29T09:38:30.000Z | 2021-01-20T03:36:59.000Z | nipype/interfaces/spm/__init__.py | felixsc1/nipype | e722d6170593583f16ddfcb95473e5d30b5f1d7c | [
"Apache-2.0"
] | 12 | 2021-03-09T03:01:16.000Z | 2022-03-11T23:59:36.000Z | nipype/interfaces/spm/__init__.py | felixsc1/nipype | e722d6170593583f16ddfcb95473e5d30b5f1d7c | [
"Apache-2.0"
] | 1 | 2020-07-17T12:49:49.000Z | 2020-07-17T12:49:49.000Z | # -*- coding: utf-8 -*-
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
"""Top-level namespace for spm."""
from .base import (Info, SPMCommand, logger, no_spm, scans_for_fname,
scans_for_fnames)
from .preprocess import (FieldMap, Slic... | 53.117647 | 77 | 0.653378 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 169 | 0.187154 |
b97cd7905f5c596cb6d79b67c2c80e83907421d9 | 8,257 | py | Python | network.py | tobloef/neural-network | bd05a8b9eccc0f5a973782247d39f9b5aa33156c | [
"MIT"
] | 3 | 2018-01-06T22:27:58.000Z | 2018-08-12T20:29:51.000Z | network.py | tobloef/neural-network | bd05a8b9eccc0f5a973782247d39f9b5aa33156c | [
"MIT"
] | 1 | 2018-03-31T18:49:56.000Z | 2018-04-19T04:52:33.000Z | network.py | tobloef/neural-network | bd05a8b9eccc0f5a973782247d39f9b5aa33156c | [
"MIT"
] | null | null | null | import numpy as np
from mathUtils import *
class Network(object):
"""
Model for a feedforward Neural Network that use backpropagation with stochastic gradient decent.
"""
def __init__(self, layerSizes, biasVectors, weightMatrices):
"""
Initialise the network with a list of layer sizes ... | 53.270968 | 286 | 0.657987 | 8,213 | 0.994671 | 0 | 0 | 1,053 | 0.127528 | 0 | 0 | 3,275 | 0.396633 |
b97d4675d330154e0b12b91fbd601affd888ea29 | 1,901 | py | Python | examples/airflow/dags/etl_orders_7_days.py | phixMe/marquez | 06d71635369893b371a8a9c9e7023f11d7cbb1f8 | [
"Apache-2.0"
] | null | null | null | examples/airflow/dags/etl_orders_7_days.py | phixMe/marquez | 06d71635369893b371a8a9c9e7023f11d7cbb1f8 | [
"Apache-2.0"
] | null | null | null | examples/airflow/dags/etl_orders_7_days.py | phixMe/marquez | 06d71635369893b371a8a9c9e7023f11d7cbb1f8 | [
"Apache-2.0"
] | null | null | null | from datetime import datetime
from marquez_airflow import DAG
from airflow.operators.postgres_operator import PostgresOperator
from airflow.utils.dates import days_ago
default_args = {
'owner': 'datascience',
'depends_on_past': False,
'start_date': days_ago(1),
'email_on_failure': False,
'email_on_... | 29.246154 | 135 | 0.681746 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,256 | 0.660705 |
b97deb7d2bd255cd9a3d9f169d969333b63452ec | 313 | py | Python | sample/pizza.py | marianarmorgado/python-starter | 8bf3d7a16fd462cf99898c9a82c6e1cf4fc0e7f2 | [
"MIT"
] | null | null | null | sample/pizza.py | marianarmorgado/python-starter | 8bf3d7a16fd462cf99898c9a82c6e1cf4fc0e7f2 | [
"MIT"
] | null | null | null | sample/pizza.py | marianarmorgado/python-starter | 8bf3d7a16fd462cf99898c9a82c6e1cf4fc0e7f2 | [
"MIT"
] | null | null | null | # store information about a pizza being ordered
pizza = {
'crust': 'thick',
'toppings': ['mushrooms', 'extra vegan cheese']
}
# summarize the order
print("You ordered a " + pizza['crust'] + "-crust pizza" +
"with the following toppings:")
for topping in pizza['toppings']:
print("\t" + topping) | 26.083333 | 59 | 0.645367 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 204 | 0.651757 |
b97e1419e0e45b84ecc462227c812c10beb92718 | 181 | py | Python | YouTube/CursoEmVideo/python/ex012.py | Fh-Shadow/Progamando | f496d83c36e9a079ed06b4e7c34396c57f539de9 | [
"MIT"
] | null | null | null | YouTube/CursoEmVideo/python/ex012.py | Fh-Shadow/Progamando | f496d83c36e9a079ed06b4e7c34396c57f539de9 | [
"MIT"
] | null | null | null | YouTube/CursoEmVideo/python/ex012.py | Fh-Shadow/Progamando | f496d83c36e9a079ed06b4e7c34396c57f539de9 | [
"MIT"
] | null | null | null | a = float(input('Qual รฉ o preรงo do produto? R$'))
d = a - (a * 23 / 100)
print('O produto que custava R${:.2f}, na promoรงรฃo de 23% de desconto vai custar: R${:.2f}' .format(a, d))
| 45.25 | 106 | 0.607735 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 0.648649 |
b97e5feb1052b87d359d8e3d9f63ba930bff8e66 | 15,038 | py | Python | dnnlib/submission/submit.py | gperdrizet/gansformer | c68ba623aa498c83d8df4c4f0a3b5e3f63c773a5 | [
"MIT"
] | 1,172 | 2021-03-02T02:00:44.000Z | 2022-03-31T02:46:45.000Z | dnnlib/submission/submit.py | gperdrizet/gansformer | c68ba623aa498c83d8df4c4f0a3b5e3f63c773a5 | [
"MIT"
] | 37 | 2021-03-03T14:11:11.000Z | 2022-03-12T15:40:15.000Z | dnnlib/submission/submit.py | gperdrizet/gansformer | c68ba623aa498c83d8df4c4f0a3b5e3f63c773a5 | [
"MIT"
] | 138 | 2021-03-02T06:37:10.000Z | 2022-03-30T14:59:09.000Z | # Submit a function to be run either locally or in a computing cluster.
# Compared to original StyleGAN implementation, we extend the support for automatic training resumption,
# and network recompilation.
import copy
import inspect
import os
import pathlib
import pickle
import platform
import pprint
import re
import s... | 43.337176 | 238 | 0.691847 | 3,564 | 0.237 | 0 | 0 | 0 | 0 | 0 | 0 | 5,938 | 0.394866 |
b97f4f2077af2e6d4198d160e8fea133c49dee89 | 4,187 | py | Python | pyecharts/custom/grid.py | zilong305/pycharts | 6cf1bb7f17001a36da6a766615a78b1dbef5918f | [
"MIT"
] | null | null | null | pyecharts/custom/grid.py | zilong305/pycharts | 6cf1bb7f17001a36da6a766615a78b1dbef5918f | [
"MIT"
] | null | null | null | pyecharts/custom/grid.py | zilong305/pycharts | 6cf1bb7f17001a36da6a766615a78b1dbef5918f | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding=utf-8
from pyecharts.option import grid
class Grid(object):
def __init__(self):
self._chart = None
self._js_dependencies = set()
def add(self, chart,
grid_width=None,
grid_height=None,
grid_top=None,
grid_bottom=... | 31.961832 | 100 | 0.540482 | 4,112 | 0.982087 | 0 | 0 | 99 | 0.023645 | 0 | 0 | 1,192 | 0.284691 |
b97f78c59a8296809ae879f2d6f8355b0f8c52d0 | 4,588 | py | Python | smooch/conversations.py | devinmcgloin/smooch | c9561c3e7f1546efc58daa472b70f738d0d35e13 | [
"MIT"
] | 3 | 2016-07-04T12:02:03.000Z | 2017-03-20T19:39:36.000Z | smooch/conversations.py | devinmcgloin/smooch | c9561c3e7f1546efc58daa472b70f738d0d35e13 | [
"MIT"
] | 41 | 2019-05-28T09:54:04.000Z | 2020-02-20T05:34:19.000Z | smooch/conversations.py | devinmcgloin/smooch | c9561c3e7f1546efc58daa472b70f738d0d35e13 | [
"MIT"
] | 2 | 2016-07-20T14:31:45.000Z | 2016-11-18T12:19:38.000Z | import logging
from .endpoint import ask
def send_message(user_id, message, sent_by_maker=True):
if not valid_args(user_id, message):
logging.warning("send message called with invalid args user_id={} message={}".format(user_id, message))
return
logging.debug("Sending message: user_id={0} mes... | 30.586667 | 129 | 0.598954 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,670 | 0.363993 |
b980ab008a2dab6e2778edec1d7d9e24b2315a73 | 1,086 | py | Python | cifar/evalit.py | Sharkbyteprojects/IRIS-ML_and_Deep-Learning | f0e053cf7a0e69019bbba36e6da3e60d76105fe9 | [
"MIT"
] | null | null | null | cifar/evalit.py | Sharkbyteprojects/IRIS-ML_and_Deep-Learning | f0e053cf7a0e69019bbba36e6da3e60d76105fe9 | [
"MIT"
] | null | null | null | cifar/evalit.py | Sharkbyteprojects/IRIS-ML_and_Deep-Learning | f0e053cf7a0e69019bbba36e6da3e60d76105fe9 | [
"MIT"
] | null | null | null | import keras
from keras.models import load_model
from PIL import Image
import matplotlib.pylab as plt
import numpy as np
import zipfile
print("Extract")
zip_ref = zipfile.ZipFile("./asset.zip", 'r')
zip_ref.extractall(".")
zip_ref.close()
print("Load Model")
model=load_model("cifar-model.h5")
CIFAR_10_CLASSES=["Plane",... | 27.15 | 88 | 0.710866 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 270 | 0.248619 |
b980be1e0d2b8db749e25a4f49c35cdddbdca9d9 | 1,650 | py | Python | tt/urls.py | samiksha-patil/Knowledge-Sharing-Platform | 22e61a659d5ad63fe656fa639dc897cbdebad4fe | [
"bzip2-1.0.6"
] | 1 | 2021-05-09T08:18:49.000Z | 2021-05-09T08:18:49.000Z | tt/urls.py | samiksha-patil/Knowledge-Sharing-Platform | 22e61a659d5ad63fe656fa639dc897cbdebad4fe | [
"bzip2-1.0.6"
] | 9 | 2021-03-19T01:11:35.000Z | 2022-03-12T00:20:13.000Z | tt/urls.py | samiksha-patil/Knowledge-Sharing-Platform | 22e61a659d5ad63fe656fa639dc897cbdebad4fe | [
"bzip2-1.0.6"
] | null | null | null | """
tt URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based vi... | 35.869565 | 100 | 0.726061 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 890 | 0.539394 |
b9814171798d1f2ddf5247c67182a7e7e032132e | 105 | py | Python | src/git/cmd.py | danihodovic/dht | 636f54d70f8c6ca60ab48f2815b3e9e1a336d78f | [
"MIT"
] | 2 | 2021-01-21T15:04:32.000Z | 2021-01-21T16:23:32.000Z | src/git/cmd.py | danihodovic/dht | 636f54d70f8c6ca60ab48f2815b3e9e1a336d78f | [
"MIT"
] | 2 | 2020-12-30T20:34:51.000Z | 2021-01-17T20:02:02.000Z | src/git/cmd.py | danihodovic/dht | 636f54d70f8c6ca60ab48f2815b3e9e1a336d78f | [
"MIT"
] | null | null | null | import os
import click
os.environ["GIT_PYTHON_REFRESH"] = "quiet"
@click.group()
def git():
pass
| 9.545455 | 42 | 0.67619 | 0 | 0 | 0 | 0 | 34 | 0.32381 | 0 | 0 | 27 | 0.257143 |
b98238142a5e4442e3c9fdd220f6bde9274299de | 570 | py | Python | TwitterImage2JPG.py | Tymec/Playground | 5a4aaa4a88e084d8d31803485b1ec521ad49a3d1 | [
"MIT"
] | null | null | null | TwitterImage2JPG.py | Tymec/Playground | 5a4aaa4a88e084d8d31803485b1ec521ad49a3d1 | [
"MIT"
] | null | null | null | TwitterImage2JPG.py | Tymec/Playground | 5a4aaa4a88e084d8d31803485b1ec521ad49a3d1 | [
"MIT"
] | 1 | 2019-02-19T10:32:07.000Z | 2019-02-19T10:32:07.000Z | import glob
import os
def main():
os.chdir("F:/Downloads")
extensions = ["*.jpg_large", "*.png_large", "*.jpg_orig"]
file_list = list()
for extension in extensions:
file_list = file_list + glob.glob(extension)
for file in file_list:
for extension in extensions:
new_ex... | 22.8 | 67 | 0.585965 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 72 | 0.126316 |
b982943f0b8c226209550f8c7f62a0e03d0b5ff5 | 6,405 | py | Python | Data Analysis/classification.py | Riccardo95Facchini/DIL-2019 | febeda55fd647943a1b8c49b3c5192fcd69fdaf5 | [
"MIT"
] | null | null | null | Data Analysis/classification.py | Riccardo95Facchini/DIL-2019 | febeda55fd647943a1b8c49b3c5192fcd69fdaf5 | [
"MIT"
] | null | null | null | Data Analysis/classification.py | Riccardo95Facchini/DIL-2019 | febeda55fd647943a1b8c49b3c5192fcd69fdaf5 | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.metrics import classification_report
#EVERY TIME THE DATASET IS RETRIEVED FROM GITHUB
input_file = 'https://raw.githubusercontent.com/lcphy/Digital-Innovation-Lab/master/bank-full.csv'
dataset = pd.read_csv(input... | 25.722892 | 98 | 0.721624 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,210 | 0.188915 |
b982c2b4e976b723dfa3208c1bc1e4ea51b77ac9 | 5,562 | py | Python | tools/c7n_azure/tests/test_route_table.py | anastasiia-zolochevska/cloud-custodian | f25315a01bec808c16ab0e2d433d6151cf5769e4 | [
"Apache-2.0"
] | 2 | 2020-01-20T19:46:28.000Z | 2020-08-19T14:20:27.000Z | tools/c7n_azure/tests/test_route_table.py | anastasiia-zolochevska/cloud-custodian | f25315a01bec808c16ab0e2d433d6151cf5769e4 | [
"Apache-2.0"
] | 79 | 2019-03-20T12:27:06.000Z | 2019-08-14T14:07:04.000Z | tools/c7n_azure/tests/test_route_table.py | anastasiia-zolochevska/cloud-custodian | f25315a01bec808c16ab0e2d433d6151cf5769e4 | [
"Apache-2.0"
] | 2 | 2019-04-22T15:20:23.000Z | 2019-08-27T12:37:51.000Z | # Copyright 2015-2018 Capital One Services, LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | 35.426752 | 95 | 0.538655 | 4,920 | 0.884574 | 0 | 0 | 3,668 | 0.659475 | 0 | 0 | 1,900 | 0.341604 |
b98531b0567b9e4719006397ec461d3fa4999e4b | 11,730 | py | Python | proto/tp_artifact_1.0/build/lib/sawtooth_artifact/processor/handler.py | pkthein/sparts_all_fam | ff162e4ea8c3919a197dc0cc13fde6b32da113c7 | [
"Apache-2.0"
] | 1 | 2019-04-03T18:31:36.000Z | 2019-04-03T18:31:36.000Z | proto/tp_artifact_1.0/build/lib/sawtooth_artifact/processor/handler.py | pkthein/sparts_all_fam | ff162e4ea8c3919a197dc0cc13fde6b32da113c7 | [
"Apache-2.0"
] | null | null | null | proto/tp_artifact_1.0/build/lib/sawtooth_artifact/processor/handler.py | pkthein/sparts_all_fam | ff162e4ea8c3919a197dc0cc13fde6b32da113c7 | [
"Apache-2.0"
] | null | null | null | # Copyright 2016 Intel Corporation
# Copyright 2017 Wind River
# 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... | 39.897959 | 82 | 0.521313 | 5,899 | 0.502899 | 0 | 0 | 749 | 0.063853 | 0 | 0 | 6,596 | 0.562319 |
b9877d896f97460bc5a35787da6277925368bc9f | 764 | py | Python | ReviewsCollector.py | fsandx/moodybooks | 5c13fe43849e4fa861a163c74411e9f796518bc9 | [
"MIT"
] | null | null | null | ReviewsCollector.py | fsandx/moodybooks | 5c13fe43849e4fa861a163c74411e9f796518bc9 | [
"MIT"
] | null | null | null | ReviewsCollector.py | fsandx/moodybooks | 5c13fe43849e4fa861a163c74411e9f796518bc9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
STEP 2
Takes the list of urls in the json files and downloads the html files to local drive
Start with: scrapy runspider ReviewsCollector.py
"""
import scrapy
import json
class ReviewsCollector(scrapy.Spider):
def start_requests(self):
with open("data/b... | 29.384615 | 124 | 0.611257 | 539 | 0.705497 | 311 | 0.407068 | 0 | 0 | 0 | 0 | 284 | 0.371728 |
b9887b38cf06939bc8dd710e9861e2366862482a | 3,120 | py | Python | firelight/interfaces/light.py | roshie548/firelight | 3a5af5e2a1e5784127baebcf1517ffddcaff4062 | [
"MIT"
] | 16 | 2021-11-29T03:05:31.000Z | 2022-01-19T05:32:45.000Z | firelight/interfaces/light.py | roshie548/firelight | 3a5af5e2a1e5784127baebcf1517ffddcaff4062 | [
"MIT"
] | null | null | null | firelight/interfaces/light.py | roshie548/firelight | 3a5af5e2a1e5784127baebcf1517ffddcaff4062 | [
"MIT"
] | null | null | null | from abc import ABC, abstractmethod
from .color import Color
class LightSystem(ABC):
@classmethod
def __subclasshook__(cls, subclass):
return (hasattr(subclass, 'set_transition_time')
and callable(subclass.set_transition_time)
and hasattr(subclass, 'discover_lights')
... | 32.842105 | 77 | 0.641026 | 3,050 | 0.977564 | 0 | 0 | 2,901 | 0.929808 | 0 | 0 | 680 | 0.217949 |
b98b6f0b6e5f35ef44fd272ec1f3a99b4d72acf0 | 1,293 | py | Python | PolymorphismPYTHON/Polypy.py | cadeng23/oop-cjgustafson | cd3e5ca0e37f8b00a80516c6c8d5d6789a77d9a8 | [
"MIT"
] | null | null | null | PolymorphismPYTHON/Polypy.py | cadeng23/oop-cjgustafson | cd3e5ca0e37f8b00a80516c6c8d5d6789a77d9a8 | [
"MIT"
] | null | null | null | PolymorphismPYTHON/Polypy.py | cadeng23/oop-cjgustafson | cd3e5ca0e37f8b00a80516c6c8d5d6789a77d9a8 | [
"MIT"
] | null | null | null | import random
class Family:
def __init__(self,first, last, hair):
self.first = first
self.last = last
self.hair = hair
def fullname(self):
return '{} {}'.format(self.first,self.last)
def eyefind(self):
temp = random.choice([1,2])
#using the punnet square... | 23.089286 | 66 | 0.618716 | 1,027 | 0.794277 | 0 | 0 | 0 | 0 | 0 | 0 | 493 | 0.381284 |
b98c3a1636cff18e5244db1f52b8e6e89e2c99b5 | 1,494 | py | Python | homeassistant/components/device_tracker/owntracks.py | evancohen/home-assistant | dafc0ced6b07025c03417d8e7a2c0133b4c622fc | [
"MIT"
] | 14 | 2015-11-10T07:57:43.000Z | 2021-08-29T13:45:26.000Z | homeassistant/components/device_tracker/owntracks.py | evancohen/home-assistant | dafc0ced6b07025c03417d8e7a2c0133b4c622fc | [
"MIT"
] | null | null | null | homeassistant/components/device_tracker/owntracks.py | evancohen/home-assistant | dafc0ced6b07025c03417d8e7a2c0133b4c622fc | [
"MIT"
] | 8 | 2015-11-14T16:40:41.000Z | 2020-02-17T19:48:08.000Z | """
homeassistant.components.device_tracker.owntracks
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
OwnTracks platform for the device tracker.
For more details about this platform, please refer to the documentation at
https://home-assistant.io/components/device_tracker.owntracks/
"""
import json
import logging
im... | 27.666667 | 74 | 0.582999 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 617 | 0.412985 |
b98c6a6e2a07073f4614093d6ae5d6469afd6835 | 48,027 | py | Python | src/models/end_to_end_event_coreference.py | luyaojie/E3C | 4b2f33da4629211fd6a3738077794f821c7f7c8b | [
"MIT"
] | 2 | 2022-02-20T15:13:11.000Z | 2022-03-22T03:47:21.000Z | src/models/end_to_end_event_coreference.py | luyaojie/E3C | 4b2f33da4629211fd6a3738077794f821c7f7c8b | [
"MIT"
] | null | null | null | src/models/end_to_end_event_coreference.py | luyaojie/E3C | 4b2f33da4629211fd6a3738077794f821c7f7c8b | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# Created by Roger on 2019-09-10
# Mostly by AllenNLP
import logging
import math
from typing import Any, Dict, List, Optional, Tuple
import torch
import torch.nn.functional as F
from allennlp.data import Vocabulary
from allennlp.models.model import Model
from allennlp.mod... | 54.514188 | 134 | 0.629271 | 43,414 | 0.90395 | 0 | 0 | 43,462 | 0.904949 | 0 | 0 | 19,498 | 0.40598 |
b98ccbb0c859fdccad6b30924e5845122d497aa5 | 1,964 | py | Python | week2/7litersProblem.py | vietanhtran2710/ArtificialIntelligenceHomework | f4da761016d67477b50856cadf1e2560230d3f79 | [
"MIT"
] | 3 | 2021-09-20T08:32:23.000Z | 2021-09-25T08:11:48.000Z | week2/7litersProblem.py | vietanhtran2710/ArtificialIntelligenceHomework | f4da761016d67477b50856cadf1e2560230d3f79 | [
"MIT"
] | null | null | null | week2/7litersProblem.py | vietanhtran2710/ArtificialIntelligenceHomework | f4da761016d67477b50856cadf1e2560230d3f79 | [
"MIT"
] | null | null | null | """
Given 3 bottles of capacities 3, 5, and 9 liters,
count number of all possible solutions to get 7 liters
"""
current_path = [[0, 0, 0]]
CAPACITIES = (3, 5, 9)
solutions_count = 0
def move_to_new_state(current_state):
global solutions_count, current_path
if 7 in current_state:
solutions_co... | 35.709091 | 91 | 0.548371 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 227 | 0.11558 |
b98d02f62eca1818cb1fb297d1c8644dd35ff288 | 8,263 | py | Python | st2common/st2common/bootstrap/rulesregistrar.py | avezraj/st2 | 519c7f6819e52fb289c440bb7d1df7b558bb9ed7 | [
"Apache-2.0"
] | null | null | null | st2common/st2common/bootstrap/rulesregistrar.py | avezraj/st2 | 519c7f6819e52fb289c440bb7d1df7b558bb9ed7 | [
"Apache-2.0"
] | null | null | null | st2common/st2common/bootstrap/rulesregistrar.py | avezraj/st2 | 519c7f6819e52fb289c440bb7d1df7b558bb9ed7 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Extreme Networks, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | 41.109453 | 98 | 0.57824 | 6,351 | 0.768607 | 0 | 0 | 0 | 0 | 0 | 0 | 2,013 | 0.243616 |
b9912797a8155d6800745fe804b93206d95de8ac | 91,819 | py | Python | sdk/costmanagement/azure-mgmt-costmanagement/azure/mgmt/costmanagement/models/_models_py3.py | aiven/azure-sdk-for-python | 8764dc07423beca46ed0b51212d81289d9e52c60 | [
"MIT"
] | 1 | 2021-09-07T18:43:20.000Z | 2021-09-07T18:43:20.000Z | sdk/costmanagement/azure-mgmt-costmanagement/azure/mgmt/costmanagement/models/_models_py3.py | aiven/azure-sdk-for-python | 8764dc07423beca46ed0b51212d81289d9e52c60 | [
"MIT"
] | 2 | 2021-11-03T06:10:36.000Z | 2021-12-01T06:29:39.000Z | sdk/costmanagement/azure-mgmt-costmanagement/azure/mgmt/costmanagement/models/_models_py3.py | msyyc/azure-sdk-for-python | e2dba75181f8b4336ae57e75aa391322c12c3123 | [
"MIT"
] | 1 | 2021-05-19T02:55:10.000Z | 2021-05-19T02:55:10.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 38.16251 | 498 | 0.649005 | 90,996 | 0.991037 | 0 | 0 | 0 | 0 | 0 | 0 | 57,015 | 0.62095 |
b9921ebf7fdd9b5fb1dd763092a97ae1888e730f | 3,860 | py | Python | test/test_simple_compression.py | jayvdb/brotlipy | ffddf2ea5adc584c8c353d246bb1077b7e781b63 | [
"MIT"
] | null | null | null | test/test_simple_compression.py | jayvdb/brotlipy | ffddf2ea5adc584c8c353d246bb1077b7e781b63 | [
"MIT"
] | null | null | null | test/test_simple_compression.py | jayvdb/brotlipy | ffddf2ea5adc584c8c353d246bb1077b7e781b63 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
test_simple_compression
~~~~~~~~~~~~~~~~~~~~~~~~~
Tests for compression of single chunks.
"""
import brotli
import pytest
from hypothesis import given
from hypothesis.strategies import binary, integers, sampled_from, one_of
def test_roundtrip_compression_with_files(simple_compressed_fil... | 29.692308 | 78 | 0.615803 | 0 | 0 | 0 | 0 | 3,251 | 0.842228 | 0 | 0 | 459 | 0.118912 |
b992a4ec960bcf3e39ba5a1bb6a8cd2e68be293e | 1,987 | py | Python | wexapi/models/ticker.py | madmis/wexapi | f5b1b9b566f767bca7d8fad1f08c3d1bca42355a | [
"MIT"
] | 3 | 2018-06-08T12:45:04.000Z | 2018-08-02T11:09:11.000Z | wexapi/models/ticker.py | madmis/wexapi | f5b1b9b566f767bca7d8fad1f08c3d1bca42355a | [
"MIT"
] | null | null | null | wexapi/models/ticker.py | madmis/wexapi | f5b1b9b566f767bca7d8fad1f08c3d1bca42355a | [
"MIT"
] | null | null | null | from decimal import Decimal
class Ticker(object):
def __init__(
self,
high: float,
low: float,
avg: float,
vol: float,
vol_cur: int,
last: float,
buy: float,
sell: float,
updated: int,
):
... | 20.27551 | 38 | 0.545546 | 1,956 | 0.984399 | 0 | 0 | 1,332 | 0.670357 | 0 | 0 | 0 | 0 |
b99506d26f9716e398b3a3724d393185a9900942 | 1,216 | py | Python | hard-gists/98bb452dc14e8c40e403/snippet.py | jjhenkel/dockerizeme | eaa4fe5366f6b9adf74399eab01c712cacaeb279 | [
"Apache-2.0"
] | 21 | 2019-07-08T08:26:45.000Z | 2022-01-24T23:53:25.000Z | hard-gists/98bb452dc14e8c40e403/snippet.py | jjhenkel/dockerizeme | eaa4fe5366f6b9adf74399eab01c712cacaeb279 | [
"Apache-2.0"
] | 5 | 2019-06-15T14:47:47.000Z | 2022-02-26T05:02:56.000Z | hard-gists/98bb452dc14e8c40e403/snippet.py | jjhenkel/dockerizeme | eaa4fe5366f6b9adf74399eab01c712cacaeb279 | [
"Apache-2.0"
] | 17 | 2019-05-16T03:50:34.000Z | 2021-01-14T14:35:12.000Z | from scryptos import *
p1 = 32581479300404876772405716877547
p2 = 27038194053540661979045656526063
p3 = 26440615366395242196516853423447
n = p1*p2*p3
e = 3
c = int(open("flag.enc", "rb").read().encode("hex"), 16)
# from User's Guide to PARI/GP, nth_root function
sqrtnall = 'sqrtnall(x,n)={my(V,r,z,r2);r=sqrtn(x,n,&z... | 39.225806 | 224 | 0.663651 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 678 | 0.557566 |
b9954284c404c9a5aed225965d5006c8735af349 | 1,717 | py | Python | musa/migrations/0001_initial.py | ccsreenidhin/Music-Web-Django | 9b8286914f9099b9ed56c712c7ca384846f189d1 | [
"MIT"
] | null | null | null | musa/migrations/0001_initial.py | ccsreenidhin/Music-Web-Django | 9b8286914f9099b9ed56c712c7ca384846f189d1 | [
"MIT"
] | null | null | null | musa/migrations/0001_initial.py | ccsreenidhin/Music-Web-Django | 9b8286914f9099b9ed56c712c7ca384846f189d1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2018-03-29 06:43
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import musa.models
class Migration(migrations.Migration):
initial = True
dependencies = [... | 40.880952 | 121 | 0.633663 | 1,476 | 0.859639 | 0 | 0 | 0 | 0 | 0 | 0 | 245 | 0.142691 |
b9957182927ee0480e35dd837a4d9ee2d8587462 | 3,207 | py | Python | nuitka/codegen/LoopCodes.py | RESP3CT88/Nuitka | 0fcc25d9f00c4fc78c79a863c4b7987f573962e1 | [
"Apache-2.0"
] | 1 | 2021-05-25T12:48:28.000Z | 2021-05-25T12:48:28.000Z | venv/Lib/site-packages/nuitka/codegen/LoopCodes.py | matthijsvanvliet/raytracing-python | 73d692b47330ab94eedde579a51063e3a907e92b | [
"MIT"
] | null | null | null | venv/Lib/site-packages/nuitka/codegen/LoopCodes.py | matthijsvanvliet/raytracing-python | 73d692b47330ab94eedde579a51063e3a907e92b | [
"MIT"
] | null | null | null | # Copyright 2021, Kay Hayen, mailto:[email protected]
#
# Part of "Nuitka", an optimizing Python compiler that is compatible and
# integrates with CPython, but also works on its own.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in complianc... | 34.858696 | 111 | 0.752728 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,505 | 0.469286 |
b995831c9a98c5b05882c5bbcc4b241cd51503bd | 4,837 | py | Python | 3_module/C_BloomFilter.py | L4mborg1n1-D14610/Algoritms_and_DataStructure | f61b7434dbc600da02e8ec38648fa84beb160f17 | [
"Xnet",
"X11",
"CECILL-B"
] | null | null | null | 3_module/C_BloomFilter.py | L4mborg1n1-D14610/Algoritms_and_DataStructure | f61b7434dbc600da02e8ec38648fa84beb160f17 | [
"Xnet",
"X11",
"CECILL-B"
] | null | null | null | 3_module/C_BloomFilter.py | L4mborg1n1-D14610/Algoritms_and_DataStructure | f61b7434dbc600da02e8ec38648fa84beb160f17 | [
"Xnet",
"X11",
"CECILL-B"
] | null | null | null | import math
from sys import exit
# ะธัะฐะบ, n - ะฟัะธะฑะปะธะทะธัะตะปัะฝะพะต ัะธัะปะพ ัะปะตะผะตะฝัะพะฒ ะฒ ะผะฐััะธะฒะต, P - ะฒะตัะพััะฝะพััั ะปะพะถะฝะพะฟะพะปะพะถะธัะตะปัะฝะพะณะพ ะพัะฒะตัะฐ, ัะพะณะดะฐ ัะฐะทะผะตั
# ััััะบัััั m = -(nlog2P) / ln2 (2 - ะพัะฝะพะฒะฐะฝะธะต), ะบะพะปะธัะตััะฒะพ ั
ะตั-ััะฝะบัะธะน ะฑัะดะตั ัะฐะฒะฝะพ -log2P
# ั
ะตั-ััะฝะบัะธะธ ะธัะฟะพะปัะทััััั ะฒะธะดะฐ: (((i + 1)*x + p(i+1)) mod M) mod m,ะณะดะต - x - ะบะปัั,... | 34.798561 | 116 | 0.551995 | 2,671 | 0.46975 | 0 | 0 | 0 | 0 | 0 | 0 | 2,126 | 0.373901 |
b996ad8d5f407e5b1769d9b50ca7be5705a211e8 | 1,937 | py | Python | pyzmq/examples/pubsub/subscriber.py | Surfndez/source-publish | c3838b303c1a0806f21cd4e8d8c207015b3ce9c8 | [
"Intel"
] | null | null | null | pyzmq/examples/pubsub/subscriber.py | Surfndez/source-publish | c3838b303c1a0806f21cd4e8d8c207015b3ce9c8 | [
"Intel"
] | 1 | 2021-01-21T17:43:33.000Z | 2021-01-21T17:43:33.000Z | pyzmq/examples/pubsub/subscriber.py | Surfndez/source-publish | c3838b303c1a0806f21cd4e8d8c207015b3ce9c8 | [
"Intel"
] | null | null | null | """A test that subscribes to NumPy arrays.
Uses REQ/REP (on PUB/SUB socket + 1) to synchronize
"""
#-----------------------------------------------------------------------------
# Copyright (c) 2010 Brian Granger
#
# Distributed under the terms of the New BSD License. The full license is in
# the file COPYING.BSD... | 25.826667 | 78 | 0.545173 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 694 | 0.358286 |
b997c70668ace413cc27502883f737e007e56239 | 1,006 | py | Python | Doc/includes/sqlite3/load_extension.py | livioso/cpython | 077061a7b24917aaf31057885c69919c5a553c88 | [
"PSF-2.0"
] | 36 | 2019-06-07T20:44:06.000Z | 2022-03-23T06:19:43.000Z | Doc/includes/sqlite3/load_extension.py | livioso/cpython | 077061a7b24917aaf31057885c69919c5a553c88 | [
"PSF-2.0"
] | 49 | 2016-02-29T17:59:52.000Z | 2019-05-05T04:59:26.000Z | Doc/includes/sqlite3/load_extension.py | livioso/cpython | 077061a7b24917aaf31057885c69919c5a553c88 | [
"PSF-2.0"
] | 28 | 2019-06-27T04:11:27.000Z | 2022-03-11T06:27:44.000Z | import sqlite3
con = sqlite3.connect(":memory:")
# enable extension loading
con.enable_load_extension(True)
# Load the fulltext search extension
con.execute("select load_extension('./fts3.so')")
# alternatively you can load the extension using an API call:
# con.load_extension("./fts3.so")
# disable extension load... | 37.259259 | 104 | 0.744533 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 801 | 0.796223 |
b9982b7f935a0931c3a9dc4e8ec48b12b5523acb | 22,060 | py | Python | lingvo/core/inference_graph_exporter.py | RunzheYang/lingvo | 1291e29812f9ee9836f9cacbb05db9ec6b095234 | [
"Apache-2.0"
] | 1 | 2021-09-02T18:04:13.000Z | 2021-09-02T18:04:13.000Z | lingvo/core/inference_graph_exporter.py | RunzheYang/lingvo | 1291e29812f9ee9836f9cacbb05db9ec6b095234 | [
"Apache-2.0"
] | null | null | null | lingvo/core/inference_graph_exporter.py | RunzheYang/lingvo | 1291e29812f9ee9836f9cacbb05db9ec6b095234 | [
"Apache-2.0"
] | null | null | null | # Lint as: python3
# Copyright 2018 The TensorFlow 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
#
# Unless ... | 38.100173 | 116 | 0.694334 | 11,523 | 0.522348 | 958 | 0.043427 | 12,475 | 0.565503 | 0 | 0 | 8,165 | 0.370127 |
b9982e3e4e7a4b4799e5780bd7629d5235cc1b40 | 1,836 | py | Python | src/preprocessing/annual_hc_by_crime_loc.py | VijayKalmath/USCrimeAnalysis | 14c96aae52547a4f7ea140395c62a621a97def50 | [
"MIT"
] | null | null | null | src/preprocessing/annual_hc_by_crime_loc.py | VijayKalmath/USCrimeAnalysis | 14c96aae52547a4f7ea140395c62a621a97def50 | [
"MIT"
] | null | null | null | src/preprocessing/annual_hc_by_crime_loc.py | VijayKalmath/USCrimeAnalysis | 14c96aae52547a4f7ea140395c62a621a97def50 | [
"MIT"
] | null | null | null | #! usr/env/bin python
import glob
import numpy as np
import pandas as pd
from tqdm import tqdm
def main():
# Fetch File Paths
file_paths = glob.glob(r'./data/raw/ucr/hc_count_by_place/*.xls')
# Sort them according to year
file_paths.sort(key = lambda x: int(x[-8:-4]))
# Create a result dataframe ... | 33.381818 | 84 | 0.6378 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 720 | 0.392157 |
b998534e368ce74be309448b790e384f839c6d4a | 1,672 | py | Python | allennlp/tests/modules/token_embedders/bag_of_word_counts_token_embedder_test.py | ethanjperez/allennlp | e520993f16f0da7e2c40f6e44b8dc56338f46b57 | [
"Apache-2.0"
] | 24 | 2019-09-16T00:10:54.000Z | 2021-09-08T19:31:51.000Z | allennlp/tests/modules/token_embedders/bag_of_word_counts_token_embedder_test.py | ethanjperez/allennlp | e520993f16f0da7e2c40f6e44b8dc56338f46b57 | [
"Apache-2.0"
] | null | null | null | allennlp/tests/modules/token_embedders/bag_of_word_counts_token_embedder_test.py | ethanjperez/allennlp | e520993f16f0da7e2c40f6e44b8dc56338f46b57 | [
"Apache-2.0"
] | 7 | 2019-09-16T02:37:31.000Z | 2021-09-01T06:06:17.000Z | # pylint: disable=no-self-use,invalid-name
import numpy as np
from numpy.testing import assert_almost_equal
import torch
from allennlp.common import Params
from allennlp.data import Vocabulary
from allennlp.modules.token_embedders import BagOfWordCountsTokenEmbedder
from allennlp.common.testing import AllenNlpTestCase
... | 45.189189 | 93 | 0.70634 | 1,349 | 0.806818 | 0 | 0 | 0 | 0 | 0 | 0 | 79 | 0.047249 |
b998e92d411833a80bc4657adf0243c90d5c6084 | 5,457 | py | Python | demo/demo_shapenet.py | hengkaiz/meshrcnn | eb5b5bc0639a33e48f0fc1e0834106798cd1e3d8 | [
"BSD-3-Clause"
] | null | null | null | demo/demo_shapenet.py | hengkaiz/meshrcnn | eb5b5bc0639a33e48f0fc1e0834106798cd1e3d8 | [
"BSD-3-Clause"
] | null | null | null | demo/demo_shapenet.py | hengkaiz/meshrcnn | eb5b5bc0639a33e48f0fc1e0834106798cd1e3d8 | [
"BSD-3-Clause"
] | null | null | null | import argparse
import logging
import multiprocessing as mp
import logging
import os
from detectron2.evaluation import inference_context
import torch
import torch.distributed as dist
import torch.multiprocessing as mp
from detectron2.utils.collect_env import collect_env_info
from detectron2.utils.logger import setup_lo... | 31.912281 | 99 | 0.637713 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 956 | 0.175188 |
b998f6994cf6e83702b501cd661bb37f91b59317 | 7,854 | py | Python | proglearn/voters.py | jshin13/progressive-learning | dccc70fe5f6a03d2c53c2b01fd2122d7fd2798dc | [
"Apache-2.0"
] | null | null | null | proglearn/voters.py | jshin13/progressive-learning | dccc70fe5f6a03d2c53c2b01fd2122d7fd2798dc | [
"Apache-2.0"
] | null | null | null | proglearn/voters.py | jshin13/progressive-learning | dccc70fe5f6a03d2c53c2b01fd2122d7fd2798dc | [
"Apache-2.0"
] | null | null | null | import numpy as np
# from sklearn.ensemble import BaggingClassifier
# from sklearn.tree import DecisionTreeClassifier
from sklearn.neighbors import KNeighborsClassifier
from sklearn.utils.validation import (
check_X_y,
check_array,
NotFittedError,
)
from sklearn.utils.multiclass import check_classificati... | 26.805461 | 99 | 0.556277 | 7,412 | 0.943723 | 0 | 0 | 0 | 0 | 0 | 0 | 1,610 | 0.204991 |
b999024320e50c940c8f273e6f0536039450c829 | 1,949 | py | Python | config.py | jhattat/photoBooth | f6fe3ab418bb917792e10349597401ed34078766 | [
"MIT"
] | null | null | null | config.py | jhattat/photoBooth | f6fe3ab418bb917792e10349597401ed34078766 | [
"MIT"
] | null | null | null | config.py | jhattat/photoBooth | f6fe3ab418bb917792e10349597401ed34078766 | [
"MIT"
] | null | null | null | # Tumblr Setup
# Replace the values with your information
# OAuth keys can be generated from https://api.tumblr.com/console/calls/user/info
consumer_key='ShbOqI5zErQXOL7Qnd5XduXpY9XQUlBgJDpCLeq1OYqnY2KzSt' #replace with your key
consumer_secret='ulZradkbJGksjpl2MMlshAfJgEW6TNeSdZucykqeTp8jvwgnhu' #replace with your sec... | 77.96 | 130 | 0.758338 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,561 | 0.800924 |
b9991711cbe60fa3459b0fb4cb64d023132610e8 | 896 | py | Python | accounts/admin.py | GuilhemN/site-interludes | 69873810d5b0168aa57277ba51805117e6c53874 | [
"MIT"
] | null | null | null | accounts/admin.py | GuilhemN/site-interludes | 69873810d5b0168aa57277ba51805117e6c53874 | [
"MIT"
] | 1 | 2022-03-24T10:41:10.000Z | 2022-03-24T12:39:30.000Z | accounts/admin.py | GuilhemN/site-interludes | 69873810d5b0168aa57277ba51805117e6c53874 | [
"MIT"
] | 1 | 2022-03-23T22:30:12.000Z | 2022-03-23T22:30:12.000Z | from django.contrib import admin
from django.contrib.auth.models import Group
from accounts.models import EmailUser
from shared.admin import ExportCsvMixin
# no need for groups - we only have regular users and superusers
admin.site.unregister(Group)
@admin.register(EmailUser)
class EmailUserAdmin(ExportCsvMixin, adm... | 37.333333 | 106 | 0.753348 | 616 | 0.686734 | 0 | 0 | 643 | 0.716834 | 0 | 0 | 432 | 0.481605 |
b9993aa0d134cc4869bfe49fd1ecd6dc8c6b0b96 | 23,640 | py | Python | rotkehlchen/exchanges/coinbase.py | vnavascues/rotki | 8675bdb02bf84bfccb5d59362e3ae2b7138fcd8f | [
"BSD-3-Clause"
] | null | null | null | rotkehlchen/exchanges/coinbase.py | vnavascues/rotki | 8675bdb02bf84bfccb5d59362e3ae2b7138fcd8f | [
"BSD-3-Clause"
] | null | null | null | rotkehlchen/exchanges/coinbase.py | vnavascues/rotki | 8675bdb02bf84bfccb5d59362e3ae2b7138fcd8f | [
"BSD-3-Clause"
] | null | null | null | import hashlib
import hmac
import logging
import time
from json.decoder import JSONDecodeError
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple
from urllib.parse import urlencode
import requests
from rotkehlchen.assets.asset import Asset
from rotkehlchen.assets.converters import asset_from_coinbase
... | 40.688468 | 98 | 0.592047 | 20,182 | 0.853723 | 0 | 0 | 2,906 | 0.122927 | 0 | 0 | 7,542 | 0.319036 |
b9994eb6b47f29e07dc9f474ab82878fdc8ae029 | 3,533 | py | Python | lib/python3.7/site-packages/ldap/controls/deref.py | aonrobot/MSC-thug-auth-provider | aef37ef5a000586b8502cc536244f31e08b9c2db | [
"Apache-2.0"
] | 1 | 2019-06-21T11:51:26.000Z | 2019-06-21T11:51:26.000Z | lib/python3.7/site-packages/ldap/controls/deref.py | aonrobot/MSC-thug-auth-provider | aef37ef5a000586b8502cc536244f31e08b9c2db | [
"Apache-2.0"
] | 13 | 2019-07-03T21:28:31.000Z | 2022-02-26T10:42:05.000Z | lib/python3.7/site-packages/ldap/controls/deref.py | aonrobot/MSC-thug-auth-provider | aef37ef5a000586b8502cc536244f31e08b9c2db | [
"Apache-2.0"
] | 2 | 2020-02-11T09:34:39.000Z | 2020-11-10T14:41:32.000Z | # -*- coding: utf-8 -*-
"""
ldap.controls.deref - classes for
(see https://tools.ietf.org/html/draft-masarati-ldap-deref)
See https://www.python-ldap.org/ for project details.
"""
__all__ = [
'DEREF_CONTROL_OID',
'DereferenceControl',
]
import ldap.controls
from ldap.controls import LDAPControl,KNOWN_RESPONSE_CO... | 29.441667 | 102 | 0.711577 | 2,552 | 0.722332 | 0 | 0 | 0 | 0 | 0 | 0 | 566 | 0.160204 |
b999aec7c34874ef90e0f30812ac97217ce90cca | 3,145 | py | Python | emoji.py | notagoat/Deepmoji | 1ab922306c3647f9c7ea98caa2660a53b18fe4b6 | [
"MIT"
] | 1 | 2020-03-19T20:09:00.000Z | 2020-03-19T20:09:00.000Z | emoji.py | notagoat/Deepmoji | 1ab922306c3647f9c7ea98caa2660a53b18fe4b6 | [
"MIT"
] | null | null | null | emoji.py | notagoat/Deepmoji | 1ab922306c3647f9c7ea98caa2660a53b18fe4b6 | [
"MIT"
] | null | null | null | import requests
import urllib.request
import os.path
import shutil
import csv
def main():
with open("data.csv") as i: #Open the data.csv file
instances = i.readlines() #Write them into memory
instances = [x.strip() for x in instances] #Strip any weird issues from writing
instances.sort() #Sort t... | 37.440476 | 151 | 0.574245 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,256 | 0.399364 |
b99add86778172fa08bc930ed29f8f26a88ec4d3 | 943 | py | Python | String/640.One Edit Distance/Solution_DP.py | Zhenye-Na/LxxxCode | afd79d790d0a7495d75e6650f80adaa99bd0ff07 | [
"MIT"
] | 12 | 2019-05-04T04:21:27.000Z | 2022-03-02T07:06:57.000Z | String/640.One Edit Distance/Solution_DP.py | Zhenye-Na/LxxxCode | afd79d790d0a7495d75e6650f80adaa99bd0ff07 | [
"MIT"
] | 1 | 2019-07-24T18:43:53.000Z | 2019-07-24T18:43:53.000Z | String/640.One Edit Distance/Solution_DP.py | Zhenye-Na/LxxxCode | afd79d790d0a7495d75e6650f80adaa99bd0ff07 | [
"MIT"
] | 10 | 2019-07-01T04:03:04.000Z | 2022-03-09T03:57:37.000Z | class Solution:
"""
@param s: a string
@param t: a string
@return: true if they are both one edit distance apart or false
"""
def isOneEditDistance(self, s, t):
# write your code here
if s == t:
return False
if abs(len(s) - len(t)) > 1:
return Fal... | 29.46875 | 81 | 0.341463 | 942 | 0.99894 | 0 | 0 | 0 | 0 | 0 | 0 | 147 | 0.155885 |
b99b1d1ec6004cbeeb91e19410dbbb1e2216c45e | 1,478 | py | Python | nsq/__init__.py | jehiah/pynsq | 899b60a8ce77ed6c8ab899fbdfd7adbc1b450c96 | [
"MIT"
] | 1 | 2015-05-25T00:23:53.000Z | 2015-05-25T00:23:53.000Z | nsq/__init__.py | barkinet/pynsq | 899b60a8ce77ed6c8ab899fbdfd7adbc1b450c96 | [
"MIT"
] | null | null | null | nsq/__init__.py | barkinet/pynsq | 899b60a8ce77ed6c8ab899fbdfd7adbc1b450c96 | [
"MIT"
] | null | null | null | from __future__ import absolute_import
import signal
import tornado.ioloop
import logging
from .protocol import (
Error,
unpack_response,
decode_message,
valid_topic_name,
valid_channel_name,
identify,
subscribe,
ready,
finish,
touch,
requeue,
nop,
pub,
mpub,
... | 26.392857 | 96 | 0.696211 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 450 | 0.304465 |
b99b2da4f2ac2ca37d2ded7c72545cef1cab4228 | 5,356 | py | Python | scripts/summaryPlot.py | Hespian/ParFastKer | 5ddf1685c0652e73c889cfc64c7ec1fd827f905c | [
"BSD-3-Clause",
"MIT"
] | 3 | 2019-08-10T08:24:19.000Z | 2019-08-12T07:16:03.000Z | scripts/summaryPlot.py | Hespian/ParFastKer | 5ddf1685c0652e73c889cfc64c7ec1fd827f905c | [
"BSD-3-Clause",
"MIT"
] | null | null | null | scripts/summaryPlot.py | Hespian/ParFastKer | 5ddf1685c0652e73c889cfc64c7ec1fd827f905c | [
"BSD-3-Clause",
"MIT"
] | null | null | null | import get_data_ours
import get_data_akiba
import get_data_NearLinear
import get_data_LinearTime
import os
import matplotlib.pyplot as plt
# graphs = ["uk-2002", "arabic-2005", "gsh-2015-tpd", "uk-2005", "it-2004", "sk-2005", "uk-2007-05", "webbase-2001", "asia.osm", "road_usa", "europe.osm", "rgg_n26_s0", "RHG-10000... | 39.094891 | 234 | 0.720127 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,795 | 0.335138 |
b99c2305beceab596bedee8ad399b6faa3216070 | 3,587 | py | Python | bouncer/cli/base.py | lrnt/git-bouncer | 3015e11a5d2c90986124de73bf1fd0f5a8563360 | [
"MIT"
] | null | null | null | bouncer/cli/base.py | lrnt/git-bouncer | 3015e11a5d2c90986124de73bf1fd0f5a8563360 | [
"MIT"
] | null | null | null | bouncer/cli/base.py | lrnt/git-bouncer | 3015e11a5d2c90986124de73bf1fd0f5a8563360 | [
"MIT"
] | null | null | null | import configparser
import sys
import inspect
from argparse import ArgumentParser, RawDescriptionHelpFormatter
def opt(*args, **kwargs):
def decorator(method):
if not hasattr(method, 'options'):
method.options = []
method.options.append((args, kwargs))
return method
return... | 27.381679 | 72 | 0.578199 | 3,180 | 0.886535 | 0 | 0 | 0 | 0 | 0 | 0 | 257 | 0.071648 |
b99c4d9fb380e0635cac67dff2a6820b500bf34f | 13,728 | py | Python | Examples/ExampleCodes_ssccoorriinngg.py | MahdadJafarzadeh/ssccoorriinngg | 63c726e9e7d0f6d13032415c76b8c3bb1ff2bee3 | [
"MIT"
] | 2 | 2020-04-28T12:50:26.000Z | 2020-05-13T08:52:42.000Z | Examples/ExampleCodes_ssccoorriinngg.py | MahdadJafarzadeh/ssccoorriinngg | 63c726e9e7d0f6d13032415c76b8c3bb1ff2bee3 | [
"MIT"
] | null | null | null | Examples/ExampleCodes_ssccoorriinngg.py | MahdadJafarzadeh/ssccoorriinngg | 63c726e9e7d0f6d13032415c76b8c3bb1ff2bee3 | [
"MIT"
] | 1 | 2020-07-14T13:48:56.000Z | 2020-07-14T13:48:56.000Z | #%% Import libs
import numpy as np
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import cross_validate
from sklearn.metrics import make_scorer, accuracy_score, precision_score, recall_score, f1_score
import h5py
import time
from ssccoorriinngg import ssccoorriinngg
import numpy as np
... | 53.209302 | 127 | 0.682984 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,709 | 0.270178 |
b99d08420cae81be117acdda96af821aba38eea2 | 6,891 | py | Python | igibson/examples/behavior/behavior_demo_collection.py | suresh-guttikonda/iGibson | a69e623058180146466cd52d4bb3c00d1facdacf | [
"MIT"
] | null | null | null | igibson/examples/behavior/behavior_demo_collection.py | suresh-guttikonda/iGibson | a69e623058180146466cd52d4bb3c00d1facdacf | [
"MIT"
] | null | null | null | igibson/examples/behavior/behavior_demo_collection.py | suresh-guttikonda/iGibson | a69e623058180146466cd52d4bb3c00d1facdacf | [
"MIT"
] | null | null | null | """
Main BEHAVIOR demo collection entrypoint
"""
import argparse
import copy
import datetime
import os
import bddl
import numpy as np
import igibson
from igibson.activity.activity_base import iGBEHAVIORActivityInstance
from igibson.render.mesh_renderer.mesh_renderer_cpu import MeshRendererSettings
from igibson.rende... | 31.465753 | 120 | 0.652881 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,308 | 0.189813 |
b99e3b0ee335439a781ae231769595415a1dc6ec | 546 | py | Python | wagtail/wagtailadmin/menu.py | digitalmarmalade/wagtail | ac4d23172ff3f42746625630583b17d243fb9822 | [
"BSD-3-Clause"
] | 1 | 2015-11-05T18:02:04.000Z | 2015-11-05T18:02:04.000Z | wagtail/wagtailadmin/menu.py | digitalmarmalade/wagtail | ac4d23172ff3f42746625630583b17d243fb9822 | [
"BSD-3-Clause"
] | null | null | null | wagtail/wagtailadmin/menu.py | digitalmarmalade/wagtail | ac4d23172ff3f42746625630583b17d243fb9822 | [
"BSD-3-Clause"
] | null | null | null | from django.utils.text import slugify
from django.utils.html import format_html
class MenuItem(object):
def __init__(self, label, url, name=None, classnames='', order=1000):
self.label = label
self.url = url
self.classnames = classnames
self.name = (name or slugify(unicode(label)))... | 32.117647 | 79 | 0.611722 | 463 | 0.847985 | 0 | 0 | 0 | 0 | 0 | 0 | 68 | 0.124542 |
b99ee5dfe9849188796ff8d2b024b524adedb8d2 | 1,950 | py | Python | django_mfa/migrations/0001_initial.py | timgates42/django-mfa | 89eeb83f7da3ea24f205b40b13c7f9d33ea15b99 | [
"MIT"
] | null | null | null | django_mfa/migrations/0001_initial.py | timgates42/django-mfa | 89eeb83f7da3ea24f205b40b13c7f9d33ea15b99 | [
"MIT"
] | null | null | null | django_mfa/migrations/0001_initial.py | timgates42/django-mfa | 89eeb83f7da3ea24f205b40b13c7f9d33ea15b99 | [
"MIT"
] | null | null | null | # Generated by Django 2.1.5 on 2019-03-26 11:35
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
ope... | 41.489362 | 143 | 0.598974 | 1,791 | 0.918462 | 0 | 0 | 0 | 0 | 0 | 0 | 272 | 0.139487 |
b99f21827c3ba7ccbcab4806c878cdacfa139e20 | 317 | py | Python | app/logger_example/main.py | khanh-nguyen-code/my-collection | 31581ef0b1dae67aafb1f4e64b9973a38cc01edf | [
"MIT"
] | null | null | null | app/logger_example/main.py | khanh-nguyen-code/my-collection | 31581ef0b1dae67aafb1f4e64b9973a38cc01edf | [
"MIT"
] | null | null | null | app/logger_example/main.py | khanh-nguyen-code/my-collection | 31581ef0b1dae67aafb1f4e64b9973a38cc01edf | [
"MIT"
] | null | null | null | from my_collection import logger
if __name__ == "__main__":
logger.now().debug("debug1")
logger.now().debug("debug2")
logger.now().info("hello1")
logger.now().info("hello2")
logger.now().with_field("key", "val").error("with field1")
logger.now().with_field("key", "val").error("with field2")
| 31.7 | 62 | 0.646688 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 88 | 0.277603 |
b9a14f8cda479b51cbe9296c63d8ae7397078bc7 | 760 | py | Python | robotframework_iperf3/__main__.py | scathaig/robotframework-iperf3 | cfeeb3e265777403d7eb06fcfa6d69650f2a5e67 | [
"Apache-2.0"
] | null | null | null | robotframework_iperf3/__main__.py | scathaig/robotframework-iperf3 | cfeeb3e265777403d7eb06fcfa6d69650f2a5e67 | [
"Apache-2.0"
] | null | null | null | robotframework_iperf3/__main__.py | scathaig/robotframework-iperf3 | cfeeb3e265777403d7eb06fcfa6d69650f2a5e67 | [
"Apache-2.0"
] | null | null | null | import argparse
from robotremoteserver import RobotRemoteServer
from .iperf3 import Iperf3
if __name__ == '__main__':
# create commandline parser
parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.prog = 'python3 -m robotframework_iperf3'
# add parser opt... | 21.111111 | 92 | 0.619737 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 170 | 0.223684 |
b9a1ae11b40a499e6f6854e1a273c2ff226ef650 | 692 | py | Python | h2o-docs/src/booklets/v2_2015/source/Python_Vignette_code_examples/python_combine_frames_append_one_as_columns.py | ahmedengu/h2o-3 | ac2c0a6fbe7f8e18078278bf8a7d3483d41aca11 | [
"Apache-2.0"
] | 6,098 | 2015-05-22T02:46:12.000Z | 2022-03-31T16:54:51.000Z | h2o-docs/src/booklets/v2_2015/source/Python_Vignette_code_examples/python_combine_frames_append_one_as_columns.py | ahmedengu/h2o-3 | ac2c0a6fbe7f8e18078278bf8a7d3483d41aca11 | [
"Apache-2.0"
] | 2,517 | 2015-05-23T02:10:54.000Z | 2022-03-30T17:03:39.000Z | h2o-docs/src/booklets/v2_2015/source/Python_Vignette_code_examples/python_combine_frames_append_one_as_columns.py | ahmedengu/h2o-3 | ac2c0a6fbe7f8e18078278bf8a7d3483d41aca11 | [
"Apache-2.0"
] | 2,199 | 2015-05-22T04:09:55.000Z | 2022-03-28T22:20:45.000Z | df8.cbind(df9)
# A B C D A0 B0 C0 D0
# ----- ------ ------ ------ ------ ----- ----- -----
# -0.09 0.944 0.160 0.271 -0.351 1.66 -2.32 -0.86
# -0.95 0.669 0.664 1.535 -0.633 -1.78 0.32 1.27
# 0.17 0.657 0.970 -0.419 -1.413 -0.51 0.64 -1.25
# 0.58 -0.516 -1.598 -1.346 0.71... | 43.25 | 54 | 0.460983 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 663 | 0.958092 |
b9a1dbb5125acea57356714e95e66c8e3a612e30 | 1,101 | py | Python | FluentPython/dynamic_attr_and_prop/frozen_json.py | xu6148152/Binea_Python_Project | d943eb5f4685d08f080b372dcf1a7cbd5d63efed | [
"MIT"
] | null | null | null | FluentPython/dynamic_attr_and_prop/frozen_json.py | xu6148152/Binea_Python_Project | d943eb5f4685d08f080b372dcf1a7cbd5d63efed | [
"MIT"
] | null | null | null | FluentPython/dynamic_attr_and_prop/frozen_json.py | xu6148152/Binea_Python_Project | d943eb5f4685d08f080b372dcf1a7cbd5d63efed | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- encoding: utf-8 -*-
from collections import abc
from keyword import iskeyword
class FronzenJSON:
def __init__(self, mapping):
self._data = {}
for key, value in mapping.items():
if iskeyword(key):
key += '_'
# self._data = di... | 27.525 | 56 | 0.561308 | 990 | 0.899183 | 0 | 0 | 246 | 0.223433 | 0 | 0 | 122 | 0.110808 |
b9a20089dfb3f5c8a3472d1f3be189af236d4d44 | 4,062 | py | Python | pomdp_problems/tag/models/transition_model.py | Semanti1/pomdp_findit | b96c1c06aab4b485fa005654cf6438ff63718083 | [
"MIT"
] | null | null | null | pomdp_problems/tag/models/transition_model.py | Semanti1/pomdp_findit | b96c1c06aab4b485fa005654cf6438ff63718083 | [
"MIT"
] | null | null | null | pomdp_problems/tag/models/transition_model.py | Semanti1/pomdp_findit | b96c1c06aab4b485fa005654cf6438ff63718083 | [
"MIT"
] | null | null | null | """The Tag problem. Implemented according to the paper `Anytime Point-Based
Approximations for Large POMDPs <https://arxiv.org/pdf/1110.0027.pdf>`_.
Transition model: the robot moves deterministically. The target's movement
depends on the robot; With Pr=0.8 the target moves away from the robot,
and with P... | 45.640449 | 103 | 0.537912 | 3,466 | 0.853274 | 0 | 0 | 359 | 0.08838 | 0 | 0 | 494 | 0.121615 |
b9a21ff5a8c4fcb07930580d031f6847ecfaed43 | 4,731 | py | Python | packit/fedpkg.py | bocekm/packit | b5da23c0fa3f205537551b9ed212d8f77d00d705 | [
"MIT"
] | null | null | null | packit/fedpkg.py | bocekm/packit | b5da23c0fa3f205537551b9ed212d8f77d00d705 | [
"MIT"
] | null | null | null | packit/fedpkg.py | bocekm/packit | b5da23c0fa3f205537551b9ed212d8f77d00d705 | [
"MIT"
] | null | null | null | # MIT License
#
# Copyright (c) 2019 Red Hat, Inc.
# 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,... | 35.044444 | 82 | 0.609808 | 3,412 | 0.721201 | 0 | 0 | 0 | 0 | 0 | 0 | 2,434 | 0.514479 |
b9a3c97262cf3c50a695832e8941374463a78067 | 901 | py | Python | tests/test_MaskedArrayCollection.py | ahaldane/NDducktype_tests | 4876416e5fbff7ba0d85445c0eeae432d6e80014 | [
"BSD-3-Clause"
] | 3 | 2020-06-18T14:18:39.000Z | 2021-07-22T18:05:52.000Z | tests/test_MaskedArrayCollection.py | ahaldane/NDducktype_tests | 4876416e5fbff7ba0d85445c0eeae432d6e80014 | [
"BSD-3-Clause"
] | 2 | 2020-07-19T15:44:09.000Z | 2020-07-28T23:22:21.000Z | tests/test_MaskedArrayCollection.py | ahaldane/NDducktype_tests | 4876416e5fbff7ba0d85445c0eeae432d6e80014 | [
"BSD-3-Clause"
] | 2 | 2019-06-20T00:20:13.000Z | 2020-09-20T21:42:52.000Z | #!/usr/bin/env python
from ndarray_ducktypes.ArrayCollection import ArrayCollection
from ndarray_ducktypes.MaskedArray import MaskedArray
from ndarray_ducktypes.MaskedArrayCollection import MaskedArrayCollection
import numpy as np
# Tests for Masked ArrayCollections.
#
# First try: Simply make an arraycollection of Ma... | 31.068966 | 75 | 0.738069 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 668 | 0.741398 |
b9a4cbf5401cd86949e3f94c13bc464c4725fcee | 192,704 | py | Python | rpc/gen/core_pb2.py | jasonjoo2010/core | 7c05ddbdac2e05a3d96db28f8bdfacf661907b82 | [
"MIT"
] | null | null | null | rpc/gen/core_pb2.py | jasonjoo2010/core | 7c05ddbdac2e05a3d96db28f8bdfacf661907b82 | [
"MIT"
] | null | null | null | rpc/gen/core_pb2.py | jasonjoo2010/core | 7c05ddbdac2e05a3d96db28f8bdfacf661907b82 | [
"MIT"
] | null | null | null | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: core.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflecti... | 38.875126 | 16,249 | 0.731339 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40,959 | 0.212549 |
b9a524c2d76717a70aa199aeb8c04e4579e1a276 | 2,217 | py | Python | src/models/text_node.py | moevm/nosql1h19-text-graph | 410f156ad4f232f8aa060d43692ab020610ddfd4 | [
"MIT"
] | null | null | null | src/models/text_node.py | moevm/nosql1h19-text-graph | 410f156ad4f232f8aa060d43692ab020610ddfd4 | [
"MIT"
] | null | null | null | src/models/text_node.py | moevm/nosql1h19-text-graph | 410f156ad4f232f8aa060d43692ab020610ddfd4 | [
"MIT"
] | null | null | null | from neomodel import StructuredNode, StringProperty, JSONProperty, \
Relationship, IntegerProperty
import numpy as np
import re
from models.text_relation import TextRelation
__all__ = ['TextNode']
class TextNode(StructuredNode):
order_id = IntegerProperty(required=True, unique_index=True)
... | 31.671429 | 73 | 0.488498 | 2,088 | 0.903114 | 0 | 0 | 0 | 0 | 0 | 0 | 1,105 | 0.477941 |
b9a529f9f36fb2cce0a38f16148b6bc2117ab033 | 2,655 | py | Python | tests/test_bishop_generate.py | otaviocarvalho/chess-negamax | 21f1066611e581dac3257d3f46c71ca2b09b5964 | [
"MIT"
] | 6 | 2015-04-04T15:58:29.000Z | 2019-04-07T11:45:02.000Z | tests/test_bishop_generate.py | otaviocarvalho/chess-negamax | 21f1066611e581dac3257d3f46c71ca2b09b5964 | [
"MIT"
] | 1 | 2015-04-27T19:02:06.000Z | 2015-04-27T19:02:06.000Z | tests/test_bishop_generate.py | otaviocarvalho/chess-negamax | 21f1066611e581dac3257d3f46c71ca2b09b5964 | [
"MIT"
] | 3 | 2015-10-04T00:22:17.000Z | 2019-04-07T11:44:56.000Z | import unittest
from .helpers import StubBoard, StubPiece, C, WHITE, BLACK
class TestBishopGenerate(unittest.TestCase):
def get_bishop(self, board, team, position):
from chess.models import Bishop
return Bishop(board, team, position)
def compare_list(self, expected, results):
compared ... | 30.872093 | 58 | 0.581921 | 2,530 | 0.952919 | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 0.041431 |