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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b9f8ce5ff36ed5a6dad65161d489c3be32cebf45 | 2,583 | py | Python | dolphinscheduler-python/pydolphinscheduler/tests/utils/test_date.py | InterestingLab/dolphinscheduler | 2ff76c7e7330c166fba1e514aba6ddf2dbe74f57 | [
"Apache-2.0"
] | 2,086 | 2021-04-15T20:28:24.000Z | 2022-03-31T22:30:49.000Z | dolphinscheduler-python/pydolphinscheduler/tests/utils/test_date.py | InterestingLab/dolphinscheduler | 2ff76c7e7330c166fba1e514aba6ddf2dbe74f57 | [
"Apache-2.0"
] | 3,789 | 2021-04-15T16:00:32.000Z | 2022-03-31T13:38:53.000Z | dolphinscheduler-python/pydolphinscheduler/tests/utils/test_date.py | InterestingLab/dolphinscheduler | 2ff76c7e7330c166fba1e514aba6ddf2dbe74f57 | [
"Apache-2.0"
] | 1,170 | 2021-04-16T06:40:24.000Z | 2022-03-31T22:30:51.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 32.696203 | 82 | 0.648084 |
9bca86b0ebcc59c891b64863a85a32629a81ef42 | 2,007 | py | Python | src/hera/v1/resources.py | mostaphaRoudsari/hera-workflows | 2f82a7690ca42e48c3ba2f9911dbd4715aa2e093 | [
"MIT"
] | null | null | null | src/hera/v1/resources.py | mostaphaRoudsari/hera-workflows | 2f82a7690ca42e48c3ba2f9911dbd4715aa2e093 | [
"MIT"
] | null | null | null | src/hera/v1/resources.py | mostaphaRoudsari/hera-workflows | 2f82a7690ca42e48c3ba2f9911dbd4715aa2e093 | [
"MIT"
] | null | null | null | """Holds the resource specification"""
from typing import Optional, Union
from hera.v1.empty_dir_volume import EmptyDirVolume
from hera.v1.existing_volume import ExistingVolume
from hera.v1.validators import validate_storage_units
from hera.v1.volume import Volume
from pydantic import BaseModel, root_validator, valida... | 36.490909 | 112 | 0.695067 |
ceb7a9075b574a2611ae6931bbddefbbe5fe0d45 | 2,677 | py | Python | runtime/python/Lib/ctypes/test/test_refcounts.py | hwaipy/InteractionFreeNode | 88642b68430f57b028fd0f276a5709f89279e30d | [
"MIT"
] | 207 | 2018-10-01T08:53:01.000Z | 2022-03-14T12:15:54.000Z | Thonny/Lib/ctypes/test/test_refcounts.py | Pydiderot/pydiderotIDE | a42fcde3ea837ae40c957469f5d87427e8ce46d3 | [
"MIT"
] | 30 | 2019-01-04T10:14:56.000Z | 2020-10-12T14:00:31.000Z | Thonny/Lib/ctypes/test/test_refcounts.py | Pydiderot/pydiderotIDE | a42fcde3ea837ae40c957469f5d87427e8ce46d3 | [
"MIT"
] | 76 | 2020-03-16T01:47:46.000Z | 2022-03-21T16:37:07.000Z | import unittest
from test import support
import ctypes
import gc
MyCallback = ctypes.CFUNCTYPE(ctypes.c_int, ctypes.c_int)
OtherCallback = ctypes.CFUNCTYPE(ctypes.c_int, ctypes.c_int, ctypes.c_ulonglong)
import _ctypes_test
dll = ctypes.CDLL(_ctypes_test.__file__)
class RefcountTestCase(unittest.TestCase)... | 26.245098 | 81 | 0.584983 |
e9ba50d31ec7223f9a42539e5b17ff0bd326c85a | 848 | py | Python | lang/Python/sparkline-in-unicode-1.py | ethansaxenian/RosettaDecode | 8ea1a42a5f792280b50193ad47545d14ee371fb7 | [
"MIT"
] | null | null | null | lang/Python/sparkline-in-unicode-1.py | ethansaxenian/RosettaDecode | 8ea1a42a5f792280b50193ad47545d14ee371fb7 | [
"MIT"
] | null | null | null | lang/Python/sparkline-in-unicode-1.py | ethansaxenian/RosettaDecode | 8ea1a42a5f792280b50193ad47545d14ee371fb7 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Unicode: 9601, 9602, 9603, 9604, 9605, 9606, 9607, 9608
bar = '▁▂▃▄▅▆▇█'
barcount = len(bar)
def sparkline(numbers):
mn, mx = min(numbers), max(numbers)
extent = mx - mn
sparkline = ''.join(bar[min([barcount - 1,
int((n - mn) / extent * barcount)]... | 32.615385 | 71 | 0.474057 |
a5d2f41fb21c6ca47d7c7714a4bb00db522ef23b | 25,340 | py | Python | scripts/modelTrainer.py | TugberkArkose/MLScheduler | e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061 | [
"Unlicense"
] | null | null | null | scripts/modelTrainer.py | TugberkArkose/MLScheduler | e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061 | [
"Unlicense"
] | null | null | null | scripts/modelTrainer.py | TugberkArkose/MLScheduler | e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061 | [
"Unlicense"
] | null | null | null | import sys
import os
import json
import itertools
import sim
import operator
from collections import defaultdict
BIG = [0]
SMALL = [1, 2, 3]
#PATH = "python /scratch/nas/1/dn/sniper-6.0/benchmarks/SimResults/myNumpy0102.py "
PATH = "python /scratch/nas/3/dn/sniper-6.0/scripts/predictor_blackbox.py "
MODELNAME = "/scra... | 38.393939 | 145 | 0.530268 |
9c2b8c98a686b239324f9ae6b078c448656cee3a | 1,133 | py | Python | vgg16/dogs_vs_cats/setup.py | Rumiachang/keras-examples | 467ac2e693930980bb21315fb33b298fff852a31 | [
"MIT"
] | null | null | null | vgg16/dogs_vs_cats/setup.py | Rumiachang/keras-examples | 467ac2e693930980bb21315fb33b298fff852a31 | [
"MIT"
] | null | null | null | vgg16/dogs_vs_cats/setup.py | Rumiachang/keras-examples | 467ac2e693930980bb21315fb33b298fff852a31 | [
"MIT"
] | null | null | null | import os
import glob
"""
train.zipを解凍したtrainから
https://blog.keras.io/building-powerful-image-classification-models-using-very-little-data.html
にあるように訓練データを振り分ける
"""
imgs_path = "./image_dir/*.png"
source_dir = "./train"
train_dir = "./data/train"
valid_dir = "./data/validation"
os.makedirs("%s/dogs" % train_dir)
os.... | 28.325 | 95 | 0.622242 |
7f30a0a5c85021642e41174e4d2682295901eedd | 1,752 | py | Python | fmit/blog/migrations/0001_initial.py | iamlion12/DjangoBlog | e5db1a3f02e23b740912fa5adc897bd3916f311b | [
"MIT"
] | null | null | null | fmit/blog/migrations/0001_initial.py | iamlion12/DjangoBlog | e5db1a3f02e23b740912fa5adc897bd3916f311b | [
"MIT"
] | null | null | null | fmit/blog/migrations/0001_initial.py | iamlion12/DjangoBlog | e5db1a3f02e23b740912fa5adc897bd3916f311b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.6 on 2017-10-19 09:49
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
initial = True
depe... | 38.086957 | 121 | 0.61758 |
8aa776d9f8f41df833c9387d2d4502f55f5bd216 | 116,023 | py | Python | Packs/RecordedFuture/Integrations/RecordedFuture/test_data/mock_samples.py | matan-xmcyber/content | 7f02301c140b35956af3cd20cb8dfc64f34afb3e | [
"MIT"
] | 1 | 2021-08-07T00:21:58.000Z | 2021-08-07T00:21:58.000Z | Packs/RecordedFuture/Integrations/RecordedFuture/test_data/mock_samples.py | matan-xmcyber/content | 7f02301c140b35956af3cd20cb8dfc64f34afb3e | [
"MIT"
] | 3 | 2019-12-13T13:27:20.000Z | 2020-01-01T14:27:45.000Z | Packs/RecordedFuture/Integrations/RecordedFuture/test_data/mock_samples.py | matan-xmcyber/content | 7f02301c140b35956af3cd20cb8dfc64f34afb3e | [
"MIT"
] | 2 | 2020-12-10T12:02:45.000Z | 2020-12-15T09:20:01.000Z | IP_LOOKUP = {
"data": {
"analystNotes": [
{
"attributes": {
"published": "2019-01-01T00:00:00.000Z",
"title": "Title 00",
"topic": {
"name": "Type 00"
},
"t... | 34.367002 | 79 | 0.219008 |
9611c4e388d04c36da3bcf08040fb39d9b0a107d | 1,169 | py | Python | Sketchbots/sw/labqueue/lask/server/http/default_handler.py | rlugojr/ChromeWebLab | 60f964b3f283c15704b7a04b7bb50cb15791e2e4 | [
"Apache-2.0"
] | 306 | 2015-01-09T14:03:44.000Z | 2017-09-16T13:03:35.000Z | Sketchbots/sw/labqueue/lask/server/http/default_handler.py | rlugojr/ChromeWebLab | 60f964b3f283c15704b7a04b7bb50cb15791e2e4 | [
"Apache-2.0"
] | 90 | 2019-03-26T05:36:00.000Z | 2021-07-28T05:30:16.000Z | Sketchbots/sw/labqueue/lask/server/http/default_handler.py | rlugojr/ChromeWebLab | 60f964b3f283c15704b7a04b7bb50cb15791e2e4 | [
"Apache-2.0"
] | 119 | 2015-01-26T15:04:33.000Z | 2017-09-13T09:30:53.000Z | # Copyright 2013 Google 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 ... | 29.974359 | 77 | 0.682635 |
27f8e20a91bea0381e6664f8527a33044c90336c | 3,122 | py | Python | flask_melodramatiq/__init__.py | epandurski/flask_melodramatiq | f4d95c7efa05050d84ea26bdb4074195ad1ae4e6 | [
"MIT"
] | 9 | 2019-03-22T15:58:32.000Z | 2022-03-27T18:27:44.000Z | flask_melodramatiq/__init__.py | epandurski/flask_melodramatiq | f4d95c7efa05050d84ea26bdb4074195ad1ae4e6 | [
"MIT"
] | 3 | 2020-01-30T16:11:03.000Z | 2020-02-07T15:53:19.000Z | flask_melodramatiq/__init__.py | epandurski/flask_melodramatiq | f4d95c7efa05050d84ea26bdb4074195ad1ae4e6 | [
"MIT"
] | 1 | 2020-02-01T09:35:30.000Z | 2020-02-01T09:35:30.000Z | import importlib
import functools
import dramatiq
from flask_melodramatiq.lazy_broker import (
LAZY_BROKER_DOCSTRING_TEMPLATE,
register_broker_class,
LazyActor,
LazyBrokerMixin,
Broker,
missing,
)
from flask_melodramatiq.rabbitmq import RabbitmqBrokerMixin
__all__ = ['create_broker_class', 'Bro... | 31.857143 | 101 | 0.71909 |
0194943567c2ee060609e59a31989ccb516896f6 | 1,171 | py | Python | app/cli.py | kiza054/woodhall-scout-blog-prototype | bc7dc0b766263bb7a1a4d342d27c57d7989ff152 | [
"MIT"
] | null | null | null | app/cli.py | kiza054/woodhall-scout-blog-prototype | bc7dc0b766263bb7a1a4d342d27c57d7989ff152 | [
"MIT"
] | null | null | null | app/cli.py | kiza054/woodhall-scout-blog-prototype | bc7dc0b766263bb7a1a4d342d27c57d7989ff152 | [
"MIT"
] | null | null | null | import os
import click
def register(app):
@app.cli.group()
def translate():
"""Translation and localization commands."""
pass
@translate.command()
@click.argument('lang')
def init(lang):
"""Initialize a new language."""
if os.system('pybabel extract -F babel.cfg -k ... | 34.441176 | 79 | 0.604611 |
2f4f31f04d7783f7bb4b0253e7f905bb0a41578e | 7,579 | py | Python | tests/test_shelving.py | smbambling/alerta | 1b3c3888b67ac4db48ef5eb9dcd704ac0c5aecb1 | [
"Apache-2.0"
] | null | null | null | tests/test_shelving.py | smbambling/alerta | 1b3c3888b67ac4db48ef5eb9dcd704ac0c5aecb1 | [
"Apache-2.0"
] | 60 | 2020-07-27T07:00:45.000Z | 2022-03-21T18:02:18.000Z | tests/test_shelving.py | smbambling/alerta | 1b3c3888b67ac4db48ef5eb9dcd704ac0c5aecb1 | [
"Apache-2.0"
] | 1 | 2020-11-24T03:16:49.000Z | 2020-11-24T03:16:49.000Z | import json
import unittest
from alerta.app import create_app, db
from alerta.models.key import ApiKey
class ShelvingTestCase(unittest.TestCase):
def setUp(self):
test_config = {
'TESTING': True,
'AUTH_REQUIRED': True,
'CUSTOMER_VIEWS': True,
'PLUGINS': ['... | 44.321637 | 96 | 0.609843 |
c5a10e84c51ba837652874801a41f7c08a4a03f3 | 5,110 | py | Python | contrib/linearize/linearize-hashes.py | thelazier/dash | 22a24ab5b7b42d06a78d8fd092c3351bdf5aafdd | [
"MIT"
] | null | null | null | contrib/linearize/linearize-hashes.py | thelazier/dash | 22a24ab5b7b42d06a78d8fd092c3351bdf5aafdd | [
"MIT"
] | null | null | null | contrib/linearize/linearize-hashes.py | thelazier/dash | 22a24ab5b7b42d06a78d8fd092c3351bdf5aafdd | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
#
# linearize-hashes.py: List blocks in a linear, no-fork version of the chain.
#
# Copyright (c) 2013-2014 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
#
from http.client imp... | 33.398693 | 108 | 0.607045 |
06c90d4a7bdcf2280f04668fcac33dc256e5d25a | 666 | py | Python | addons/blender-skeletal-motion-animate/core/retargeting.py | trisadmeslek/V-Sekai-Blender-tools | 0d8747387c58584b50c69c61ba50a881319114f8 | [
"MIT"
] | null | null | null | addons/blender-skeletal-motion-animate/core/retargeting.py | trisadmeslek/V-Sekai-Blender-tools | 0d8747387c58584b50c69c61ba50a881319114f8 | [
"MIT"
] | null | null | null | addons/blender-skeletal-motion-animate/core/retargeting.py | trisadmeslek/V-Sekai-Blender-tools | 0d8747387c58584b50c69c61ba50a881319114f8 | [
"MIT"
] | null | null | null | import bpy
# This filters the objects shown to only include armatures and under certain conditions
def poll_source_armatures(self, obj):
return obj.type == 'ARMATURE' and obj.animation_data and obj.animation_data.action
def poll_target_armatures(self, obj):
return obj.type == 'ARMATURE' and obj != get_sourc... | 28.956522 | 87 | 0.791291 |
9f6c883dc22cb7623b6dc1e98aaf8b0e68c23d73 | 109 | py | Python | playground/optim/optimizer.py | rodrigobaron/nn-playground | d93b3eba3d54d7602e9adb5895cca10a1e047f2e | [
"MIT"
] | 2 | 2018-03-24T18:09:23.000Z | 2020-01-04T13:14:45.000Z | playground/optim/optimizer.py | rodrigobaron/nn-playground | d93b3eba3d54d7602e9adb5895cca10a1e047f2e | [
"MIT"
] | 1 | 2018-04-04T15:34:44.000Z | 2018-04-04T15:34:44.000Z | playground/optim/optimizer.py | rodrigobaron/nn-playground | d93b3eba3d54d7602e9adb5895cca10a1e047f2e | [
"MIT"
] | null | null | null |
class Optimizer:
"""TODO: Optimizer docs"""
def step(self, model):
raise NotImplementedError | 21.8 | 33 | 0.651376 |
11d2d16cdb5c6124e3babc2ed9324b3eeef5b79d | 11,062 | py | Python | src/two/2_end_to_end.py | 21stio/python-handson-ml | 63f3628938109e28d3d9fb894207187ceeaf4c86 | [
"Apache-2.0"
] | null | null | null | src/two/2_end_to_end.py | 21stio/python-handson-ml | 63f3628938109e28d3d9fb894207187ceeaf4c86 | [
"Apache-2.0"
] | null | null | null | src/two/2_end_to_end.py | 21stio/python-handson-ml | 63f3628938109e28d3d9fb894207187ceeaf4c86 | [
"Apache-2.0"
] | null | null | null | import hashlib
import os, tarfile, pandas as pd, numpy as np
import plotly.figure_factory as ff
import plotly.offline as py
from beeprint import pp
import cufflinks as cf
from numpy.polynomial import Polynomial
from sklearn.cross_validation import cross_val_score
from sklearn.ensemble import RandomForestRegressor
fro... | 29.656836 | 164 | 0.68107 |
b950ba4bebf129d370c31ee9554def70aaa744b8 | 1,521 | py | Python | llvmpy/src/Bitcode/ReaderWriter.py | KennethNielsen/llvmpy | 70c5957cfd10f1e32a44f28dcb9a4dc72d499c2e | [
"BSD-3-Clause"
] | 140 | 2015-01-07T20:58:12.000Z | 2022-01-21T17:02:21.000Z | llvmpy/src/Bitcode/ReaderWriter.py | pfalcon/llvmpy | 2338eae5f6a91651125b8180abafa8c9afaa90d8 | [
"BSD-3-Clause"
] | 19 | 2015-01-15T14:45:49.000Z | 2020-09-04T14:58:23.000Z | llvmpy/src/Bitcode/ReaderWriter.py | pfalcon/llvmpy | 2338eae5f6a91651125b8180abafa8c9afaa90d8 | [
"BSD-3-Clause"
] | 12 | 2015-01-12T01:49:32.000Z | 2020-07-10T22:30:38.000Z | from binding import *
from ..namespace import llvm
from ..ADT.StringRef import StringRef
from ..Module import Module
from ..LLVMContext import LLVMContext
llvm.includes.add('llvm/Bitcode/ReaderWriter.h')
ParseBitCodeFile = llvm.CustomFunction('ParseBitCodeFile',
'llvm_ParseBitCo... | 49.064516 | 78 | 0.419461 |
d13f328dd58579a1081fa9816be95558e54a2f22 | 26,097 | py | Python | scripts/models.py | alan-turing-institute/memorization | 89bd1191f761528234543a69312284212628c24a | [
"MIT"
] | 2 | 2022-01-09T11:21:46.000Z | 2022-01-28T07:38:27.000Z | scripts/models.py | alan-turing-institute/memorization | 89bd1191f761528234543a69312284212628c24a | [
"MIT"
] | null | null | null | scripts/models.py | alan-turing-institute/memorization | 89bd1191f761528234543a69312284212628c24a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Model definitions
Author: G.J.J. van den Burg
License: See LICENSE file.
Copyright: 2021, The Alan Turing Institute
"""
import abc
import math
import torch
import torch.nn as nn
from typing import Tuple
from torch.nn.functional import binary_cross_entropy
from torch.nn.functional impo... | 34.069191 | 82 | 0.539411 |
20876b64aeafb5517da55b5f44543ea2b2e23a46 | 389 | py | Python | app/litrev/asgi.py | ipa/litrev | 01550417872b0e2b0c0541a3b7f6b28d18d874c9 | [
"MIT"
] | 2 | 2020-04-09T11:46:36.000Z | 2022-02-01T00:56:11.000Z | app/litrev/asgi.py | ipa/litrev | 01550417872b0e2b0c0541a3b7f6b28d18d874c9 | [
"MIT"
] | 5 | 2021-03-30T13:01:04.000Z | 2021-09-22T18:50:40.000Z | app/litrev/asgi.py | ipa/litrev | 01550417872b0e2b0c0541a3b7f6b28d18d874c9 | [
"MIT"
] | null | null | null | """
ASGI config for litrev project.
It exposes the ASGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.0/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('DJANGO_SETTIN... | 22.882353 | 78 | 0.784062 |
9a77b8d38aaf5e96299bb77c60864ff29314e9d2 | 27,273 | py | Python | python2.7/site-packages/twisted/conch/scripts/cftp.py | 84KaliPleXon3/sslstrip-hsts-openwrt | f875ded48078a3ed84bffef1e69dcbeaf2e77ae3 | [
"MIT"
] | 19 | 2015-05-01T19:59:03.000Z | 2021-12-09T08:03:16.000Z | python2.7/site-packages/twisted/conch/scripts/cftp.py | 84KaliPleXon3/sslstrip-hsts-openwrt | f875ded48078a3ed84bffef1e69dcbeaf2e77ae3 | [
"MIT"
] | 1 | 2018-01-03T15:26:49.000Z | 2018-01-03T15:26:49.000Z | python2.7/site-packages/twisted/conch/scripts/cftp.py | 84KaliPleXon3/sslstrip-hsts-openwrt | f875ded48078a3ed84bffef1e69dcbeaf2e77ae3 | [
"MIT"
] | 30 | 2015-03-25T19:40:07.000Z | 2021-05-28T22:59:26.000Z | # -*- test-case-name: twisted.conch.test.test_cftp -*-
#
# Copyright (c) 2001-2004 Twisted Matrix Laboratories.
# See LICENSE for details.
#
# $Id: cftp.py,v 1.65 2004/03/11 00:29:14 z3p Exp $
#""" Implementation module for the `cftp` command.
#"""
from twisted.conch.client import agent, connect, default, options
fro... | 34.09125 | 99 | 0.549078 |
bb6595f7d0a609f9cafb99fe912de0d1ab2616a4 | 537 | py | Python | kendama/migrations/0003_auto_20200701_2227.py | amin-da71/Benbb96 | 0c9e37425d0665e403ba6fecf0c4b17669c29ada | [
"MIT"
] | null | null | null | kendama/migrations/0003_auto_20200701_2227.py | amin-da71/Benbb96 | 0c9e37425d0665e403ba6fecf0c4b17669c29ada | [
"MIT"
] | 13 | 2021-02-13T20:15:18.000Z | 2022-03-11T23:57:07.000Z | kendama/migrations/0003_auto_20200701_2227.py | amin-da71/Benbb96 | 0c9e37425d0665e403ba6fecf0c4b17669c29ada | [
"MIT"
] | null | null | null | # Generated by Django 2.2.13 on 2020-07-01 20:27
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('kendama', '0002_historicalcomboplayer_historicaltrickplayer'),
]
operations = [
migrations.AlterField(
... | 26.85 | 138 | 0.674115 |
da50330dac86e5abd82a5469c858058afb111e90 | 11,118 | py | Python | ms3/app.py | skoobe/ms3 | e88dedbbe6d36dee58e36503c06cc17746c50db1 | [
"MIT"
] | 7 | 2015-09-15T23:03:12.000Z | 2021-11-08T11:21:21.000Z | ms3/app.py | skoobe/ms3 | e88dedbbe6d36dee58e36503c06cc17746c50db1 | [
"MIT"
] | null | null | null | ms3/app.py | skoobe/ms3 | e88dedbbe6d36dee58e36503c06cc17746c50db1 | [
"MIT"
] | 6 | 2015-09-15T23:03:14.000Z | 2021-02-28T15:49:05.000Z | """
The Tornado application
"""
import os
import errno
import shutil
import socket
import hashlib
import logging
import urlparse
import tornado.web
import tornado.ioloop
import tornado.httpserver
from tornado.options import options, define
import ms3.general_options as general_options
from ms3.commands import (
... | 34 | 79 | 0.569707 |
0ce8758272f64585d360a877a54a320ef13ae78d | 3,579 | py | Python | unittests/tickers/test_log2.py | xxao/pero | a7f0c84fae0b21fe120204e798bd61cdab3a125d | [
"MIT"
] | 13 | 2019-07-15T17:51:21.000Z | 2022-03-15T06:13:43.000Z | unittests/tickers/test_log2.py | xxao/pero | a7f0c84fae0b21fe120204e798bd61cdab3a125d | [
"MIT"
] | 1 | 2021-12-29T00:46:44.000Z | 2022-01-21T16:18:48.000Z | unittests/tickers/test_log2.py | xxao/pero | a7f0c84fae0b21fe120204e798bd61cdab3a125d | [
"MIT"
] | 3 | 2020-09-27T14:31:45.000Z | 2022-01-22T14:28:15.000Z | # Created byMartin.cz
# Copyright (c) Martin Strohalm. All rights reserved.
import unittest
import pero
class TestCase(unittest.TestCase):
"""Test case for logarithmic ticker with base 2."""
def test_major_ticks(self):
"""Tests whether major ticks are generated works correctly."""
... | 30.853448 | 96 | 0.54736 |
fbc8de86c0b7d5e87060563fe21579c1924ae928 | 4,692 | py | Python | scripts/physics/atom.py | Hyperengined/Python-for-Numworks | 16a72e946dacc764b825a3a2efbc97a4e5cf029e | [
"MIT"
] | 5 | 2020-11-21T11:25:40.000Z | 2021-05-27T08:27:54.000Z | scripts/physics/atom.py | Hyperengined/Python-for-Numworks | 16a72e946dacc764b825a3a2efbc97a4e5cf029e | [
"MIT"
] | 6 | 2021-03-12T17:14:16.000Z | 2021-10-31T10:37:17.000Z | scripts/physics/atom.py | Hyperengined/Python-for-Numworks | 16a72e946dacc764b825a3a2efbc97a4e5cf029e | [
"MIT"
] | 6 | 2021-04-09T09:26:32.000Z | 2021-10-31T10:19:19.000Z | def atom(x):
resp = ""
if x == 1:
resp = "Hydrogène [H]\nZ = 1\nM(H) = 1,008g/mol\nStructure électronique :\n1s1"
elif x == 2:
resp = "Hélium [He]\nZ = 2\nM(He) = 4,0026g/mol\nStructure électronique :\n1s2"
elif x == 3:
resp = "Lithium [Li]\nZ = 3\nM(Li) = 6,94g/mol\nStruc... | 58.65 | 145 | 0.58994 |
8c86169dcaffae03ccf2dac87edaa7664915da4d | 9,430 | py | Python | submission_criteria/concordance.py | CSP197/submission-criteria | 3a584ca4ac452b429651bff7266c52db560f6c7b | [
"Apache-2.0"
] | null | null | null | submission_criteria/concordance.py | CSP197/submission-criteria | 3a584ca4ac452b429651bff7266c52db560f6c7b | [
"Apache-2.0"
] | null | null | null | submission_criteria/concordance.py | CSP197/submission-criteria | 3a584ca4ac452b429651bff7266c52db560f6c7b | [
"Apache-2.0"
] | null | null | null | # System
"""Concordance Checking."""
import logging
import os
import functools
# Third Party
from sklearn.cluster import MiniBatchKMeans
from scipy.stats import ks_2samp
import numpy as np
import pandas as pd
# First Party
from submission_criteria import common
def has_concordance(P1, P2, P3, c1, c2, c3, threshold=... | 30.816993 | 131 | 0.649523 |
e36cf53d6a21939614e75e6301de0d1b20ec7305 | 9,786 | py | Python | myprojectenv/lib/python3.5/site-packages/ansible/modules/storage/netapp/netapp_e_auth.py | lancerenteria/doFlask | 2d4e242469b108c6c8316ee18a540307497bfb53 | [
"MIT"
] | null | null | null | myprojectenv/lib/python3.5/site-packages/ansible/modules/storage/netapp/netapp_e_auth.py | lancerenteria/doFlask | 2d4e242469b108c6c8316ee18a540307497bfb53 | [
"MIT"
] | null | null | null | myprojectenv/lib/python3.5/site-packages/ansible/modules/storage/netapp/netapp_e_auth.py | lancerenteria/doFlask | 2d4e242469b108c6c8316ee18a540307497bfb53 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# (c) 2016, NetApp, Inc
#
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.... | 35.32852 | 151 | 0.65839 |
fcd9e99d1440d1fc5264c6005393ba9e9669e7ea | 41,183 | py | Python | python/tvm/relay/op/nn/_nn.py | ANSHUMAN87/incubator-tvm | 902e21bd4e975037020c3b6445e4c903c2490a22 | [
"Zlib",
"Unlicense",
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0"
] | 3 | 2021-02-23T22:06:01.000Z | 2021-09-30T09:59:17.000Z | python/tvm/relay/op/nn/_nn.py | ANSHUMAN87/incubator-tvm | 902e21bd4e975037020c3b6445e4c903c2490a22 | [
"Zlib",
"Unlicense",
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0"
] | null | null | null | python/tvm/relay/op/nn/_nn.py | ANSHUMAN87/incubator-tvm | 902e21bd4e975037020c3b6445e4c903c2490a22 | [
"Zlib",
"Unlicense",
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0"
] | null | null | null | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 34.34779 | 102 | 0.70517 |
ea42b217ea8578dfe732cd41f143b41c75e53653 | 3,201 | py | Python | setup.py | jeffnappi/crate-python | 307742e2d954502886023fb648a3a9e87b3042bd | [
"Apache-2.0"
] | null | null | null | setup.py | jeffnappi/crate-python | 307742e2d954502886023fb648a3a9e87b3042bd | [
"Apache-2.0"
] | null | null | null | setup.py | jeffnappi/crate-python | 307742e2d954502886023fb648a3a9e87b3042bd | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8; -*-
#
# Licensed to CRATE Technology GmbH ("Crate") under one or more contributor
# license agreements. See the NOTICE file distributed with this work for
# additional information regarding copyright ownership. Crate licenses
# this file to you under the Apache License, Version 2.0 (the "License"... | 32.333333 | 77 | 0.653233 |
e2035d7b90e819d5d850ac2a191baf0c260c3197 | 1,928 | py | Python | cold_posterior_bnn/imdb/imdb_model.py | pedersor/google-research | 6fa751dd261b3f6d918fd2cd35efef5d8bf3eea6 | [
"Apache-2.0"
] | null | null | null | cold_posterior_bnn/imdb/imdb_model.py | pedersor/google-research | 6fa751dd261b3f6d918fd2cd35efef5d8bf3eea6 | [
"Apache-2.0"
] | null | null | null | cold_posterior_bnn/imdb/imdb_model.py | pedersor/google-research | 6fa751dd261b3f6d918fd2cd35efef5d8bf3eea6 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2022 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | 33.241379 | 77 | 0.688797 |
9b12b529a1fd64ac38c9d157a180aabfd7a2ff84 | 3,446 | py | Python | Chapter02/misc/feed_forward_iris.py | PacktPublishing/Neural-Network-Programming-with-TensorFlow | 6ab03d8bfc8b23217968e7f71b656e3afc8bd7a0 | [
"MIT"
] | 26 | 2017-11-17T18:56:16.000Z | 2022-03-03T13:25:44.000Z | Chapter02/misc/feed_forward_iris.py | PacktPublishing/Neural-Network-Programming-with-TensorFlow | 6ab03d8bfc8b23217968e7f71b656e3afc8bd7a0 | [
"MIT"
] | 2 | 2021-08-25T14:50:10.000Z | 2022-02-09T23:30:51.000Z | Chapter02/misc/feed_forward_iris.py | PacktPublishing/Neural-Network-Programming-with-TensorFlow | 6ab03d8bfc8b23217968e7f71b656e3afc8bd7a0 | [
"MIT"
] | 22 | 2017-11-16T05:16:38.000Z | 2022-01-03T20:10:04.000Z | # Implementation of a simple MLP network with one hidden layer. Tested on the iris data set.
# Requires: numpy, sklearn>=0.18.1, tensorflow>=1.0
# NOTE: In order to make the code simple, we rewrite x * W_1 + b_1 = x' * W_1'
# where x' = [x | 1] and W_1' is the matrix W_1 appended with a new row with elements b_1's.
# ... | 34.46 | 111 | 0.641613 |
062496e47dc0557b9fb2825bb955bb13648caa29 | 3,130 | py | Python | tests/test_error.py | vBlackOut/MerossIot | 677377cb6bf1ea2206622e5f80b1529837057585 | [
"MIT"
] | null | null | null | tests/test_error.py | vBlackOut/MerossIot | 677377cb6bf1ea2206622e5f80b1529837057585 | [
"MIT"
] | null | null | null | tests/test_error.py | vBlackOut/MerossIot | 677377cb6bf1ea2206622e5f80b1529837057585 | [
"MIT"
] | null | null | null | import os
from uuid import uuid4
from aiohttp import web
from aiohttp.test_utils import AioHTTPTestCase, unittest_run_loop
from meross_iot.controller.device import BaseDevice
from meross_iot.controller.mixins.toggle import ToggleXMixin
from meross_iot.http_api import MerossHttpClient
from meross_iot.manager import Me... | 43.472222 | 118 | 0.685623 |
40abb254186618d8bf03a6cbbd289b07d77ce6e7 | 412 | py | Python | iccas/checks.py | janLuke/iccas-python | cac4f07c13afea312af66a7ae0b7cfcbac3d08ae | [
"MIT"
] | null | null | null | iccas/checks.py | janLuke/iccas-python | cac4f07c13afea312af66a7ae0b7cfcbac3d08ae | [
"MIT"
] | 1 | 2020-12-01T22:25:23.000Z | 2020-12-01T22:25:23.000Z | iccas/checks.py | janLuke/iccas-python | cac4f07c13afea312af66a7ae0b7cfcbac3d08ae | [
"MIT"
] | null | null | null | """
Sanity checks.
"""
def is_non_decreasing(df):
deltas = df.drop(columns="unknown", level=1).diff(1).dropna()
return (deltas >= 0).all(axis=None)
def totals_not_less_than_sum_of_sexes(data, variable):
assert variable in {"cases", "deaths"}
total = data[variable]
sum_of_sexes = data[f"male_{var... | 25.75 | 72 | 0.674757 |
2bf3637abaf908a98ffee6548e311693986904ae | 1,419 | py | Python | examples/lambda_singles_codegen.py | maxscheurer/pdaggerq | e9fef3466e0d0170afc3094ab79e603200e78dfb | [
"Apache-2.0"
] | 37 | 2020-09-17T19:29:18.000Z | 2022-03-03T16:29:16.000Z | examples/lambda_singles_codegen.py | maxscheurer/pdaggerq | e9fef3466e0d0170afc3094ab79e603200e78dfb | [
"Apache-2.0"
] | 7 | 2021-02-28T19:22:12.000Z | 2022-02-22T15:17:47.000Z | examples/lambda_singles_codegen.py | maxscheurer/pdaggerq | e9fef3466e0d0170afc3094ab79e603200e78dfb | [
"Apache-2.0"
] | 6 | 2021-02-16T22:34:29.000Z | 2021-12-04T19:37:23.000Z | # ccsd lambda equations
# L = <0| (1+L) e(-T) H e(T) |0>
# dL/dtu = <0| e(-T) H e(T) |u> + <0| L e(-T) H e(T) |u> - <0| L tu e(-T) H e(T) |0>
import pdaggerq
from pdaggerq.parser import contracted_strings_to_tensor_terms
def main():
pq = pdaggerq.pq_helper("fermi")
pq.set_print_level(0)
print('')
... | 26.773585 | 87 | 0.55673 |
88b6e7eb93c5b4f12dc362e47c72aec83bbf4090 | 1,474 | py | Python | sequoia/spammers/continuous_spammer.py | CU-BISON-LAB/sequoia | c9f5c0cd059909efc6ac9d26fac624b150dbd7c8 | [
"MIT"
] | 7 | 2020-12-11T02:01:56.000Z | 2022-02-24T13:19:17.000Z | sequoia/spammers/continuous_spammer.py | CU-BISON-LAB/sequoia | c9f5c0cd059909efc6ac9d26fac624b150dbd7c8 | [
"MIT"
] | 1 | 2021-10-18T14:26:40.000Z | 2021-10-19T13:16:16.000Z | sequoia/spammers/continuous_spammer.py | CU-BISON-LAB/sequoia | c9f5c0cd059909efc6ac9d26fac624b150dbd7c8 | [
"MIT"
] | 4 | 2021-04-12T21:17:39.000Z | 2022-03-10T17:44:31.000Z | # continuous_spammer.py
# Periodically invokes bursts of HTTP lambda functions over a period of time.
from threading import Thread
import requests
import time
# Serverless functions
url1 = "lambda1.com"
url2 = "lambda2.com"
# Number of functions to invoke in each iteration
burst_size = 1000
# Number of iterations to... | 29.48 | 77 | 0.719132 |
1e5cfc3741bfd74c5eb75a311d2223a8565f3f12 | 5,743 | py | Python | python/line.py | dstndstn/wcs2kml | 840667fe142bfe5c34f61fc2cd5fbfecfa27e87e | [
"BSD-3-Clause"
] | null | null | null | python/line.py | dstndstn/wcs2kml | 840667fe142bfe5c34f61fc2cd5fbfecfa27e87e | [
"BSD-3-Clause"
] | 1 | 2020-03-08T04:42:30.000Z | 2020-03-08T04:42:30.000Z | python/line.py | dstndstn/wcs2kml | 840667fe142bfe5c34f61fc2cd5fbfecfa27e87e | [
"BSD-3-Clause"
] | 1 | 2020-02-29T19:56:15.000Z | 2020-02-29T19:56:15.000Z | #!/usr/bin/env python
# Class for lines
# Copyright (c) 2005, 2006, 2007, Jeremy Brewer
#
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must reta... | 32.264045 | 80 | 0.623193 |
dee6648b36ecdf6c222a0b0854ece2b147130f20 | 22,454 | py | Python | sympy/assumptions/handlers/sets.py | qcgm1978/sympy | cc46047f4449b525b7b0edd4c634bf93d6e7c83d | [
"BSD-3-Clause"
] | 2 | 2020-07-27T16:36:27.000Z | 2020-12-29T22:28:37.000Z | sympy/assumptions/handlers/sets.py | qcgm1978/sympy | cc46047f4449b525b7b0edd4c634bf93d6e7c83d | [
"BSD-3-Clause"
] | 2 | 2020-08-18T15:21:59.000Z | 2020-08-18T19:35:29.000Z | sympy/assumptions/handlers/sets.py | qcgm1978/sympy | cc46047f4449b525b7b0edd4c634bf93d6e7c83d | [
"BSD-3-Clause"
] | 3 | 2019-05-18T21:32:31.000Z | 2019-07-26T11:05:46.000Z | """
Handlers for predicates related to set membership: integer, rational, etc.
"""
from sympy.assumptions import Q, ask
from sympy.assumptions.handlers import CommonHandler, test_closed_group
from sympy.core.numbers import pi
from sympy.core.logic import fuzzy_bool
from sympy.functions.elementary.exponential import ex... | 31.580872 | 124 | 0.568139 |
d0e563e69d8d1623662931af3065a7aabb8d58e8 | 102 | py | Python | mmfparse/__init__.py | michaelgfalk/mmf-parser | 7dcaddc1a799d0445fb31856db8ec4144c2932a0 | [
"Unlicense"
] | null | null | null | mmfparse/__init__.py | michaelgfalk/mmf-parser | 7dcaddc1a799d0445fb31856db8ec4144c2932a0 | [
"Unlicense"
] | null | null | null | mmfparse/__init__.py | michaelgfalk/mmf-parser | 7dcaddc1a799d0445fb31856db8ec4144c2932a0 | [
"Unlicense"
] | 1 | 2019-08-14T06:14:36.000Z | 2019-08-14T06:14:36.000Z | name = "mmfparse"
# Make the key classes available from top level
from mmfparse.core import MMFParser | 25.5 | 47 | 0.794118 |
cc5cad949d6dcfddb8a2d95c296cbbf00ec95074 | 7,041 | py | Python | pepper/modules/python/models/predict_distributed_gpu.py | Samteymoori/pepper | 734d226de47a855952e3b58145c1fcfbe221d3b4 | [
"MIT"
] | 155 | 2019-11-08T09:55:24.000Z | 2022-03-30T08:38:34.000Z | pepper/modules/python/models/predict_distributed_gpu.py | Samteymoori/pepper | 734d226de47a855952e3b58145c1fcfbe221d3b4 | [
"MIT"
] | 131 | 2020-04-06T05:02:42.000Z | 2022-03-31T07:33:45.000Z | pepper/modules/python/models/predict_distributed_gpu.py | Samteymoori/pepper | 734d226de47a855952e3b58145c1fcfbe221d3b4 | [
"MIT"
] | 24 | 2019-07-09T18:49:58.000Z | 2022-02-21T09:09:38.000Z | import sys
import os
import torch
import torch.distributed as dist
import torch.nn as nn
from torch.utils.data import DataLoader
import torch.multiprocessing as mp
from torch.nn.parallel import DistributedDataParallel
from pepper.modules.python.models.dataloader_predict import SequenceDataset
from tqdm import tqdm
from... | 42.161677 | 118 | 0.640534 |
a6c9caacc780629dc0e002f55c2939a03f87e714 | 14,263 | py | Python | python/paddle/fluid/tests/unittests/test_backward.py | L-Net-1992/Paddle | 4d0ca02ba56760b456f3d4b42a538555b9b6c307 | [
"Apache-2.0"
] | 11 | 2016-08-29T07:43:26.000Z | 2016-08-29T07:51:24.000Z | python/paddle/fluid/tests/unittests/test_backward.py | L-Net-1992/Paddle | 4d0ca02ba56760b456f3d4b42a538555b9b6c307 | [
"Apache-2.0"
] | null | null | null | python/paddle/fluid/tests/unittests/test_backward.py | L-Net-1992/Paddle | 4d0ca02ba56760b456f3d4b42a538555b9b6c307 | [
"Apache-2.0"
] | 1 | 2021-09-24T11:23:36.000Z | 2021-09-24T11:23:36.000Z | # Copyright (c) 2019 PaddlePaddle 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 required by appli... | 37.143229 | 94 | 0.608498 |
d4356b7d1928661b246a415d21e342b441afc7ba | 572 | py | Python | populate_question_table.py | louisguitton/friendly-broccoli | 391f84e9cbabe973afefb8af1783f2905e1202c5 | [
"Apache-2.0"
] | 1 | 2018-08-09T11:42:33.000Z | 2018-08-09T11:42:33.000Z | populate_question_table.py | louisguitton/personalityinterview.com | 391f84e9cbabe973afefb8af1783f2905e1202c5 | [
"Apache-2.0"
] | 22 | 2018-08-10T09:37:21.000Z | 2019-06-14T11:32:25.000Z | populate_question_table.py | louisguitton/personalityinterview.com | 391f84e9cbabe973afefb8af1783f2905e1202c5 | [
"Apache-2.0"
] | null | null | null | from app import db
from models import Question
objects = [
Question(text="Tell me something about yourself.", order_pos=1),
Question(text="Explain how you interact with colleagues.", order_pos=2),
Question(text="Describe a conflict resolution situation you experienced.", order_pos=3),
Question(text="H... | 40.857143 | 95 | 0.73951 |
beea2e0aaa333b118303fc6218cdf3554c36c716 | 2,965 | py | Python | openGaussBase/testcase/SQL/INNERFUNC/binary_string/Opengauss_Function_Binarystring_Octet_Length_Case0003.py | opengauss-mirror/Yat | aef107a8304b94e5d99b4f1f36eb46755eb8919e | [
"MulanPSL-1.0"
] | null | null | null | openGaussBase/testcase/SQL/INNERFUNC/binary_string/Opengauss_Function_Binarystring_Octet_Length_Case0003.py | opengauss-mirror/Yat | aef107a8304b94e5d99b4f1f36eb46755eb8919e | [
"MulanPSL-1.0"
] | null | null | null | openGaussBase/testcase/SQL/INNERFUNC/binary_string/Opengauss_Function_Binarystring_Octet_Length_Case0003.py | opengauss-mirror/Yat | aef107a8304b94e5d99b4f1f36eb46755eb8919e | [
"MulanPSL-1.0"
] | null | null | null | """
Copyright (c) 2022 Huawei Technologies Co.,Ltd.
openGauss is licensed under Mulan PSL v2.
You can use this software according to the terms and conditions of the Mulan PSL v2.
You may obtain a copy of Mulan PSL v2 at:
http://license.coscl.org.cn/MulanPSL2
THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, W... | 38.506494 | 130 | 0.626981 |
28c7d2753c2f80652cf2bd0db1ad297999082a00 | 3,389 | py | Python | examples/temperature_example/make_gsod_csv.py | akleeman/albatross | f89bf4c20e35b71ea4d89260dc981b1a2363d41b | [
"MIT"
] | 15 | 2018-04-10T02:05:06.000Z | 2022-02-07T23:33:27.000Z | examples/temperature_example/make_gsod_csv.py | akleeman/albatross | f89bf4c20e35b71ea4d89260dc981b1a2363d41b | [
"MIT"
] | 79 | 2018-04-19T20:36:18.000Z | 2021-08-04T16:21:19.000Z | examples/temperature_example/make_gsod_csv.py | akleeman/albatross | f89bf4c20e35b71ea4d89260dc981b1a2363d41b | [
"MIT"
] | 4 | 2018-04-06T03:12:16.000Z | 2020-09-11T03:25:08.000Z | import sys
import gnss
import gzip
import tarfile
import argparse
import progressbar
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from cStringIO import StringIO
sns.set_style('darkgrid')
def create_parser():
p = argparse.ArgumentParser()
p.add_argument("--inpu... | 34.938144 | 112 | 0.551785 |
38923583f0585f100ff1f8ff14aee15f12cdf756 | 1,256 | py | Python | 2021/14/part2.py | timofurrer/aoc-2020 | 446b688a57601d9891f520e43b7f822c373a6ff4 | [
"MIT"
] | null | null | null | 2021/14/part2.py | timofurrer/aoc-2020 | 446b688a57601d9891f520e43b7f822c373a6ff4 | [
"MIT"
] | null | null | null | 2021/14/part2.py | timofurrer/aoc-2020 | 446b688a57601d9891f520e43b7f822c373a6ff4 | [
"MIT"
] | null | null | null | from pathlib import Path
from rich import print
with (Path(__file__).parent / "input.txt").open() as puzzle_input_file:
puzzle_input_raw = puzzle_input_file.read()
import itertools
from collections import defaultdict
template, pair_insertion_rules_raw = puzzle_input_raw.split("\n\n")
pair_insertion_rules = {}
... | 31.4 | 129 | 0.714172 |
2862b86fba2184212f26eca548828682a494fb47 | 1,730 | py | Python | Practising-working-with-pandas/code.py | peaceshadow07/greyatom-python-for-data-science | 5ea6d38ac0b1937b5678749efd810ecc401386c1 | [
"MIT"
] | null | null | null | Practising-working-with-pandas/code.py | peaceshadow07/greyatom-python-for-data-science | 5ea6d38ac0b1937b5678749efd810ecc401386c1 | [
"MIT"
] | null | null | null | Practising-working-with-pandas/code.py | peaceshadow07/greyatom-python-for-data-science | 5ea6d38ac0b1937b5678749efd810ecc401386c1 | [
"MIT"
] | null | null | null | # --------------
# Import packages
import numpy as np
import pandas as pd
from scipy.stats import mode
bank = pd.read_csv(path)
categorical_var = bank.select_dtypes(include='object')
numerical_var = bank.select_dtypes(include='number')
print(categorical_var,'\n',numerical_var)
# code starts here
# code ends he... | 19.659091 | 117 | 0.716185 |
ef990debcc9e0b4bb64bf6fee71831ad149691c1 | 8,108 | py | Python | packages/v8env/vendor/whatwg-streams/reference-implementation/web-platform-tests/tools/wptrunner/wptrunner/browsers/sauce.py | GagnDeep/v8-isolates | b9fa6b88fc029fadf5a8eef71b803589959c4da5 | [
"Apache-2.0"
] | null | null | null | packages/v8env/vendor/whatwg-streams/reference-implementation/web-platform-tests/tools/wptrunner/wptrunner/browsers/sauce.py | GagnDeep/v8-isolates | b9fa6b88fc029fadf5a8eef71b803589959c4da5 | [
"Apache-2.0"
] | null | null | null | packages/v8env/vendor/whatwg-streams/reference-implementation/web-platform-tests/tools/wptrunner/wptrunner/browsers/sauce.py | GagnDeep/v8-isolates | b9fa6b88fc029fadf5a8eef71b803589959c4da5 | [
"Apache-2.0"
] | null | null | null | # This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this file,
# You can obtain one at http://mozilla.org/MPL/2.0/.
import glob
import os
import shutil
import subprocess
import tarfile
import tempfile
import time
from cStringIO import S... | 31.92126 | 128 | 0.629502 |
2c517c8225dd48f559ac9dff944e243513eedd13 | 16,550 | py | Python | bot.py | eklavya11/nuuu | 607a7887dfee54e6f68720202f86c2c128f9e990 | [
"MIT"
] | 1 | 2018-11-16T09:45:44.000Z | 2018-11-16T09:45:44.000Z | bot.py | eklavya11/nuuu | 607a7887dfee54e6f68720202f86c2c128f9e990 | [
"MIT"
] | null | null | null | bot.py | eklavya11/nuuu | 607a7887dfee54e6f68720202f86c2c128f9e990 | [
"MIT"
] | null | null | null | # Main Bot Script
import os
import discord
from config import *
from discord.ext import commands
from ticket_log import ticketlog as create_tlog
import textwrap
from contextlib import redirect_stdout
from discord import Webhook, RequestsWebhookAdapter
import time
import ast
import io, traceback
from d... | 39.404762 | 235 | 0.646707 |
6bf7130e3512867a607777c78f233460c339abfb | 9,223 | py | Python | scheduler/core_scheduler.py | SainagShetty/WolfPlanner | 1778446619364befd16215f90d2db1cb68f14d3c | [
"MIT"
] | null | null | null | scheduler/core_scheduler.py | SainagShetty/WolfPlanner | 1778446619364befd16215f90d2db1cb68f14d3c | [
"MIT"
] | null | null | null | scheduler/core_scheduler.py | SainagShetty/WolfPlanner | 1778446619364befd16215f90d2db1cb68f14d3c | [
"MIT"
] | 1 | 2019-04-06T17:18:06.000Z | 2019-04-06T17:18:06.000Z | import ast
import bisect
import pickle
import sys
from collections import defaultdict
from datetime import datetime
from pprint import pprint
import db_scripts
def string_to_datetime(datetime_str):
# Assuming the format is the same
return datetime.strptime(datetime_str, '%Y-%m-%d %H:%M:%S')
def check_tasks(_student... | 34.414179 | 117 | 0.709856 |
58d03dae38b72858edd038fe7ee3c68f4d1e526a | 1,873 | py | Python | ardos/dc/DCFile.py | Ardos-Project/ardos.libpython | 5837fc2e0ac5687c6787b5ea3d336c7afa4a9ec0 | [
"BSD-3-Clause"
] | null | null | null | ardos/dc/DCFile.py | Ardos-Project/ardos.libpython | 5837fc2e0ac5687c6787b5ea3d336c7afa4a9ec0 | [
"BSD-3-Clause"
] | null | null | null | ardos/dc/DCFile.py | Ardos-Project/ardos.libpython | 5837fc2e0ac5687c6787b5ea3d336c7afa4a9ec0 | [
"BSD-3-Clause"
] | null | null | null | import os
import json
class DCFile:
def __init__(self, parent, path):
self.parent = parent
self.path = path
self.name = ''
self.jsonData = None
self.sortedClasses = []
self.loadDCFile()
def loadDCFile(self):
self.name, fileExtension = os.path.splitext(self.path)
try:
with open(self.path, 'r')... | 26.380282 | 83 | 0.709557 |
2ab77ce09bf16fb027856e3d7ebf9c173de9f32d | 938 | py | Python | test2.py | heroescovid/dashboard | 94c33f8aebde225c7ebc6d33c54b5d6856fdca60 | [
"Apache-2.0"
] | null | null | null | test2.py | heroescovid/dashboard | 94c33f8aebde225c7ebc6d33c54b5d6856fdca60 | [
"Apache-2.0"
] | null | null | null | test2.py | heroescovid/dashboard | 94c33f8aebde225c7ebc6d33c54b5d6856fdca60 | [
"Apache-2.0"
] | null | null | null | import json
import base64
#decoding and encoding data is possible via base64 library so we are going to use this method to update values
def convert(data):
return json.dumps(data)
def deconvert(data):
return json.loads(data)
mydict = {"name": "Aman Singh", "Age":18}
# mydict = ["Aman", "singh", 18]
def base_... | 22.878049 | 110 | 0.742004 |
f0cb157af99d7043890f58db5c72bfc34ffdbbb9 | 1,970 | py | Python | app/sort.py | daisysanson/Game-Marketplace | b42c17300689cd5f47505c44a30f5d875799fe5b | [
"MIT"
] | null | null | null | app/sort.py | daisysanson/Game-Marketplace | b42c17300689cd5f47505c44a30f5d875799fe5b | [
"MIT"
] | 4 | 2021-05-17T19:27:21.000Z | 2021-05-18T12:51:00.000Z | app/sort.py | daisysanson/Game-Marketplace | b42c17300689cd5f47505c44a30f5d875799fe5b | [
"MIT"
] | null | null | null | from app import app, db
from app.models import Games
'''
Using a quicksort to sort the ratings of each game from highest to lowest
obviously, this could be done a much simpler way, but for the purpose of this assignment
I am demonstrating how we can use such an algorithm to sort data in an array.
I am using a Quickso... | 34.561404 | 116 | 0.685787 |
0e53071882e6e9ad06864407edbec125cd205d87 | 20,557 | py | Python | tf_agents/policies/tf_policy.py | niklasnolte/agents | 065b801adf4d6be7beed64f3b07397bca3c741d2 | [
"Apache-2.0"
] | 2 | 2021-02-02T06:56:58.000Z | 2021-04-21T08:39:45.000Z | tf_agents/policies/tf_policy.py | MarioBonse/agents | c727141f67051b86d2564c4bd5fbc080623bfe19 | [
"Apache-2.0"
] | null | null | null | tf_agents/policies/tf_policy.py | MarioBonse/agents | c727141f67051b86d2564c4bd5fbc080623bfe19 | [
"Apache-2.0"
] | 6 | 2020-10-09T06:33:23.000Z | 2022-02-03T16:16:36.000Z | # coding=utf-8
# Copyright 2018 The TF-Agents Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... | 39.15619 | 80 | 0.701124 |
70736449f7309d924a52f5c53e918eeca14ed341 | 787 | py | Python | vendors/migrations/0003_auto_20170116_1847.py | wedwardbeck/vn1 | 7eff41d40003cb9ca20281eb4c9ce71f129481ba | [
"MIT"
] | null | null | null | vendors/migrations/0003_auto_20170116_1847.py | wedwardbeck/vn1 | 7eff41d40003cb9ca20281eb4c9ce71f129481ba | [
"MIT"
] | null | null | null | vendors/migrations/0003_auto_20170116_1847.py | wedwardbeck/vn1 | 7eff41d40003cb9ca20281eb4c9ce71f129481ba | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10.5 on 2017-01-17 02:47
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
... | 27.137931 | 110 | 0.653113 |
a69135b273bbb83a9ae33d55bf00752912099472 | 7,509 | py | Python | package/scripts/common.py | ZZZKROSS/ambari-hue-service | e25484168c1adb503376d9e087436352f3d2a3e3 | [
"Apache-2.0"
] | 1 | 2018-11-08T13:08:43.000Z | 2018-11-08T13:08:43.000Z | package/scripts/common.py | ZZZKROSS/ambari-hue-service | e25484168c1adb503376d9e087436352f3d2a3e3 | [
"Apache-2.0"
] | null | null | null | package/scripts/common.py | ZZZKROSS/ambari-hue-service | e25484168c1adb503376d9e087436352f3d2a3e3 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
import sys, os, pwd, grp, signal, time
from resource_management import *
from resource_management.core.exceptions import Fail
from resource_management.core.logger import Logger
from resource_management.core.resources.system import Execute, Directory, File
from resource_management.core.shell import... | 45.786585 | 185 | 0.721001 |
9f06648d63fa866851ae224017d16dfbb2f9e5e0 | 631 | py | Python | backend/manage.py | crowdbotics-apps/app-1-30327 | c2759a779e420e57de669c94b22c6a0794eff158 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | backend/manage.py | crowdbotics-apps/app-1-30327 | c2759a779e420e57de669c94b22c6a0794eff158 | [
"FTL",
"AML",
"RSA-MD"
] | 8 | 2021-09-12T16:36:23.000Z | 2022-01-09T15:35:42.000Z | backend/manage.py | crowdbotics-apps/app-1-30327 | c2759a779e420e57de669c94b22c6a0794eff158 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'app_1_30327.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise Im... | 28.681818 | 75 | 0.684628 |
08e55839d8831f15989f14c1c4e84e70785de148 | 794 | py | Python | y2014_bot3/control_loops/python/polydrivetrain.py | AustinSchuh/971-Robot-Code | 99abc66fd2d899c0bdab338dc6f57dc5def9be8d | [
"Apache-2.0"
] | 39 | 2021-06-18T03:22:30.000Z | 2022-03-21T15:23:43.000Z | y2014_bot3/control_loops/python/polydrivetrain.py | AustinSchuh/971-Robot-Code | 99abc66fd2d899c0bdab338dc6f57dc5def9be8d | [
"Apache-2.0"
] | 10 | 2021-06-18T03:22:19.000Z | 2022-03-18T22:14:15.000Z | y2014_bot3/control_loops/python/polydrivetrain.py | AustinSchuh/971-Robot-Code | 99abc66fd2d899c0bdab338dc6f57dc5def9be8d | [
"Apache-2.0"
] | 4 | 2021-08-19T19:20:04.000Z | 2022-03-08T07:33:18.000Z | #!/usr/bin/python3
import sys
from y2014_bot3.control_loops.python import drivetrain
from frc971.control_loops.python import polydrivetrain
import gflags
import glog
__author__ = 'Austin Schuh (austin.linux@gmail.com)'
FLAGS = gflags.FLAGS
try:
gflags.DEFINE_bool('plot', False, 'If true, plot the loop response.'... | 24.8125 | 76 | 0.707809 |
65f439c3507f2a78469ebba504f4aab7c9983cc8 | 1,429 | py | Python | jobya/jobs/tests/test_resources.py | xblzbjs/Jobya | b936ce37da86bfe8326a532dab3887fae6c65e45 | [
"MIT"
] | null | null | null | jobya/jobs/tests/test_resources.py | xblzbjs/Jobya | b936ce37da86bfe8326a532dab3887fae6c65e45 | [
"MIT"
] | 2 | 2022-02-08T01:15:52.000Z | 2022-03-31T04:24:15.000Z | jobya/jobs/tests/test_resources.py | xblzbjs/Jobya | b936ce37da86bfe8326a532dab3887fae6c65e45 | [
"MIT"
] | null | null | null | import pytest
from ..resources import JobExportResource
from .factories import JobFactory
pytestmark = pytest.mark.django_db
class TestJobExportResource:
@classmethod
def setup_class(cls):
cls.resource = JobExportResource()
def test_fields(self):
expected_fields = [
"uuid",... | 25.981818 | 84 | 0.56753 |
2075ae97ff10db601a87564a79b25556c3041d2b | 5,124 | py | Python | messageticker_iot.py | cidoni/newsticker | afa7502ffa0bafc6a1fd7a281a4c9de972c0582a | [
"MIT"
] | null | null | null | messageticker_iot.py | cidoni/newsticker | afa7502ffa0bafc6a1fd7a281a4c9de972c0582a | [
"MIT"
] | null | null | null | messageticker_iot.py | cidoni/newsticker | afa7502ffa0bafc6a1fd7a281a4c9de972c0582a | [
"MIT"
] | null | null | null | '''
/*
* Copyright 2010-2017 Amazon.com, Inc. or its affiliates. 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.
* A copy of the License is located at
*
* http://aws.amazon.com/apache2.0
*
* or in the "... | 39.72093 | 120 | 0.728532 |
423d346fc968b525009a59883d7b13012c4eb290 | 37,096 | py | Python | printer.py | vishalmohanty/webscraper | 40e801008ac10249682e4115057e993aa4afda61 | [
"MIT"
] | null | null | null | printer.py | vishalmohanty/webscraper | 40e801008ac10249682e4115057e993aa4afda61 | [
"MIT"
] | 5 | 2022-02-12T18:37:59.000Z | 2022-03-06T02:59:47.000Z | printer.py | vishalmohanty/webscraper | 40e801008ac10249682e4115057e993aa4afda61 | [
"MIT"
] | null | null | null | import csv
import math
import matplotlib.lines as mlines
from matplotlib.ticker import MaxNLocator
import matplotlib.pylab as plt
import numpy as np
from matplotlib import rcParams
rcParams['font.family'] = 'Times New Roman'
weighted = {
'Montgomery, AL': -0.03918335016516895,
'Juneau, AK': -0.04819714984707... | 92.508728 | 13,732 | 0.537848 |
99f154c0847815bd2ff3139c0620f04e7f6bb690 | 1,490 | py | Python | geometric_algebra_attention/keras/Multivector2MultivectorAttention.py | klarh/geometric_algebra_attention | 327f5d964b5bf72b6bf54b503c23ad8a0d7dc438 | [
"MIT"
] | 5 | 2021-10-14T22:24:00.000Z | 2022-03-24T20:11:59.000Z | geometric_algebra_attention/keras/Multivector2MultivectorAttention.py | klarh/geometric_algebra_attention | 327f5d964b5bf72b6bf54b503c23ad8a0d7dc438 | [
"MIT"
] | 1 | 2021-12-03T18:51:19.000Z | 2021-12-03T18:51:19.000Z | geometric_algebra_attention/keras/Multivector2MultivectorAttention.py | klarh/geometric_algebra_attention | 327f5d964b5bf72b6bf54b503c23ad8a0d7dc438 | [
"MIT"
] | 2 | 2021-10-14T22:26:07.000Z | 2022-03-24T20:23:05.000Z | from tensorflow import keras
from .. import base
from .MultivectorAttention import MultivectorAttention
class Multivector2MultivectorAttention(base.Multivector2MultivectorAttention, MultivectorAttention):
__doc__ = base.Multivector2MultivectorAttention.__doc__
def __init__(self, score_net, value_net, scale_n... | 43.823529 | 103 | 0.720134 |
92625cccf2e95ba23647157534b187e6644c0383 | 293 | py | Python | orange3/doc/data-mining-library/source/reference/code/discretization-table.py | rgschmitz1/BioDepot-workflow-builder | f74d904eeaf91ec52ec9b703d9fb38e9064e5a66 | [
"MIT"
] | 54 | 2017-01-08T17:21:49.000Z | 2021-11-02T08:46:07.000Z | orange3/doc/data-mining-library/source/reference/code/discretization-table.py | Synthia-3/BioDepot-workflow-builder | 4ee93abe2d79465755e82a145af3b6a6e1e79fd4 | [
"MIT"
] | 22 | 2017-03-28T06:03:14.000Z | 2021-07-28T05:43:55.000Z | orange3/doc/data-mining-library/source/reference/code/discretization-table.py | Synthia-3/BioDepot-workflow-builder | 4ee93abe2d79465755e82a145af3b6a6e1e79fd4 | [
"MIT"
] | 21 | 2017-01-26T21:12:09.000Z | 2022-01-31T21:34:59.000Z | import Orange
iris = Orange.data.Table("iris.tab")
disc = Orange.preprocess.Discretize()
disc.method = Orange.preprocess.discretize.EqualFreq(n=3)
d_iris = disc(iris)
print("Original dataset:")
for e in iris[:3]:
print(e)
print("Discretized dataset:")
for e in d_iris[:3]:
print(e)
| 19.533333 | 57 | 0.709898 |
4daac0ed168965cc289495995a10c8f39089eb72 | 567 | py | Python | tests/test_entity_list.py | ebelter/mgi | 37ea9cbddb3d64d3f0b9db4357f76f80a16d52e5 | [
"MIT"
] | null | null | null | tests/test_entity_list.py | ebelter/mgi | 37ea9cbddb3d64d3f0b9db4357f76f80a16d52e5 | [
"MIT"
] | null | null | null | tests/test_entity_list.py | ebelter/mgi | 37ea9cbddb3d64d3f0b9db4357f76f80a16d52e5 | [
"MIT"
] | null | null | null | import os, unittest
from tests.test_base_classes import TestBaseWithDb
from mgi.entity.list import list_entities
class EntityListTest(TestBaseWithDb):
def test_list_entities(self):
rows = list_entities({})
self.assertEqual(rows, [["H_G002", "hic"], ["GRCh38", ""]])
rows = list_entities({"k... | 29.842105 | 67 | 0.64903 |
24f447fa98cb67cc6941de2a0ed0f1ac3b72292f | 166 | py | Python | hackerrank/python/math/polar-coordinates.py | ParinVachhani/coding-practice | 2268215b1e1f26bfe09d0dfb4f94366594a6ef37 | [
"MIT"
] | 1 | 2018-05-06T14:03:02.000Z | 2018-05-06T14:03:02.000Z | hackerrank/python/math/polar-coordinates.py | ParinVachhani/coding-practice | 2268215b1e1f26bfe09d0dfb4f94366594a6ef37 | [
"MIT"
] | null | null | null | hackerrank/python/math/polar-coordinates.py | ParinVachhani/coding-practice | 2268215b1e1f26bfe09d0dfb4f94366594a6ef37 | [
"MIT"
] | null | null | null | import cmath
if __name__ == '__main__':
a = complex(input())
print(abs(a))
print(cmath.phase(a))
# import cmath
# print(*cmath.polar(complex(input())), sep='\n')
| 18.444444 | 49 | 0.656627 |
177f0158644b349ae4264a8a9887bc406475e8d7 | 30,061 | py | Python | TrainingExtensions/tensorflow/src/python/aimet_tensorflow/utils/op/conv.py | lipovsek/aimet | 236fb02cc6c45e65c067030416c49a09ace82045 | [
"BSD-3-Clause"
] | null | null | null | TrainingExtensions/tensorflow/src/python/aimet_tensorflow/utils/op/conv.py | lipovsek/aimet | 236fb02cc6c45e65c067030416c49a09ace82045 | [
"BSD-3-Clause"
] | null | null | null | TrainingExtensions/tensorflow/src/python/aimet_tensorflow/utils/op/conv.py | lipovsek/aimet | 236fb02cc6c45e65c067030416c49a09ace82045 | [
"BSD-3-Clause"
] | null | null | null | # /usr/bin/env python3.5
# -*- mode: python -*-
# =============================================================================
# @@-COPYRIGHT-START-@@
#
# Copyright (c) 2019, Qualcomm Innovation Center, Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification,... | 42.761024 | 119 | 0.650943 |
b899ca78cd84558fbf3e5d8f498d70848bfc8f25 | 36,711 | py | Python | drfact/run_drfact.py | alizaree/google-research | 1969183efdb8fdaffa4ce05218a2c79ccfffe9a6 | [
"Apache-2.0"
] | 1 | 2022-03-30T07:14:49.000Z | 2022-03-30T07:14:49.000Z | drfact/run_drfact.py | alizaree/google-research | 1969183efdb8fdaffa4ce05218a2c79ccfffe9a6 | [
"Apache-2.0"
] | null | null | null | drfact/run_drfact.py | alizaree/google-research | 1969183efdb8fdaffa4ce05218a2c79ccfffe9a6 | [
"Apache-2.0"
] | 1 | 2022-03-30T07:20:29.000Z | 2022-03-30T07:20:29.000Z | # coding=utf-8
# Copyright 2022 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | 37.924587 | 80 | 0.692953 |
9f60f73f3a0981f511924cd9a460decb5235effc | 135 | py | Python | vendor/PropertyKits/src/properties/app_utils.py | huangtao/cloud-test | 8087b1337d47daab9eb39335ca6e286df0e4b4dc | [
"Apache-2.0"
] | 1 | 2018-09-12T15:43:32.000Z | 2018-09-12T15:43:32.000Z | vendor/PropertyKits/src/properties/app_utils.py | huangtao/cloud-test | 8087b1337d47daab9eb39335ca6e286df0e4b4dc | [
"Apache-2.0"
] | null | null | null | vendor/PropertyKits/src/properties/app_utils.py | huangtao/cloud-test | 8087b1337d47daab9eb39335ca6e286df0e4b4dc | [
"Apache-2.0"
] | 3 | 2018-09-12T15:43:33.000Z | 2019-07-10T09:50:15.000Z | '''
Created on 2017年1月18日
@author: AppleWang
'''
#应用名称、应用包名、应用PID、UID、手机型号、Android系统版本、手机内存大小、手机CPU型号、测试日期
#内存/CPU 最大值、最小值、平均值
| 16.875 | 58 | 0.711111 |
4b8c6b9a9c2177e02b752d6223daafa6453cd4b5 | 551 | py | Python | src/aihwkit/cloud/converter/definitions/__init__.py | todd-deshane/aihwkit | 07269e29731f9a6482d25326400437f6bef2fc94 | [
"Apache-2.0"
] | 133 | 2020-09-17T20:36:08.000Z | 2022-03-21T12:15:40.000Z | src/aihwkit/cloud/converter/definitions/__init__.py | todd-deshane/aihwkit | 07269e29731f9a6482d25326400437f6bef2fc94 | [
"Apache-2.0"
] | 140 | 2020-09-21T12:16:55.000Z | 2022-03-31T18:07:37.000Z | src/aihwkit/cloud/converter/definitions/__init__.py | todd-deshane/aihwkit | 07269e29731f9a6482d25326400437f6bef2fc94 | [
"Apache-2.0"
] | 53 | 2020-09-17T15:53:31.000Z | 2022-03-30T12:22:04.000Z | # -*- coding: utf-8 -*-
# (C) Copyright 2020, 2021 IBM. All Rights Reserved.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modificatio... | 39.357143 | 77 | 0.745917 |
6cf8e33452cd93d9a1474ed5f07547200c7c2b94 | 4,212 | py | Python | python/cuml/dask/decomposition/base.py | teju85/cuml | 91ddc9eb557d7dc948e8394755890ee4a3102efd | [
"Apache-2.0"
] | 1 | 2021-04-06T14:24:25.000Z | 2021-04-06T14:24:25.000Z | python/cuml/dask/decomposition/base.py | teju85/cuml | 91ddc9eb557d7dc948e8394755890ee4a3102efd | [
"Apache-2.0"
] | 1 | 2020-03-05T02:25:50.000Z | 2020-03-05T02:25:50.000Z | python/cuml/dask/decomposition/base.py | teju85/cuml | 91ddc9eb557d7dc948e8394755890ee4a3102efd | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2019, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 32.651163 | 76 | 0.632004 |
e8d850673ae31ace7ee7bd3dc4b8d149879fa458 | 733 | py | Python | figures/2C/panel.py | cravattlab/abbasov | 86d8609f9cb1932855dae054936aeb8e5a534cea | [
"MIT"
] | 2 | 2021-02-17T01:21:47.000Z | 2021-09-09T18:29:15.000Z | figures/2C/panel.py | cravattlab/abbasov | 86d8609f9cb1932855dae054936aeb8e5a534cea | [
"MIT"
] | 1 | 2021-04-15T00:48:09.000Z | 2021-04-16T18:33:08.000Z | figures/2C/panel.py | cravattlab/abbasov | 86d8609f9cb1932855dae054936aeb8e5a534cea | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
df = pd.read_csv('../../peptides_chemotypes.tsv', sep='\t')
dup = df.copy()
dup.pop('description')
dup.pop('accession')
dup.pop('site')
df = df[~dup.duplicated()]
chemotypes = df.columns[7:]
print(chemotypes)
data = {}
for c in chemotypes:
data[c] = dict(unique=0, shared=... | 24.433333 | 59 | 0.608458 |
f0878c25df07cc097cfa53ce051aff37e42ff06e | 4,855 | py | Python | CPR/balance_sheets.py | rsi-models/CPR | 2c9e2eb36499e65facd2303f1189101cfd18b267 | [
"MIT"
] | null | null | null | CPR/balance_sheets.py | rsi-models/CPR | 2c9e2eb36499e65facd2303f1189101cfd18b267 | [
"MIT"
] | null | null | null | CPR/balance_sheets.py | rsi-models/CPR | 2c9e2eb36499e65facd2303f1189101cfd18b267 | [
"MIT"
] | null | null | null | from CPR import tools
from CPR import taxes
from CPR import simulator
def compute_bs_bef_ret(hh, year, common, prices):
"""
Function to compute the pre-retirement balance sheet.
Parameters
----------
hh: Hhold
household
year : int
year
common : Common
instance of t... | 33.482759 | 98 | 0.617302 |
a9393f2df5647c15052254298b42055f08250722 | 1,876 | py | Python | tool/eval_para_classification.py | SeonjeongHwang/xlnet_cqa | 2bbc5afa03480fd507db062901b86d1274ef36d5 | [
"Apache-2.0"
] | null | null | null | tool/eval_para_classification.py | SeonjeongHwang/xlnet_cqa | 2bbc5afa03480fd507db062901b86d1274ef36d5 | [
"Apache-2.0"
] | null | null | null | tool/eval_para_classification.py | SeonjeongHwang/xlnet_cqa | 2bbc5afa03480fd507db062901b86d1274ef36d5 | [
"Apache-2.0"
] | null | null | null | from sklearn.metrics import f1_score, accuracy_score, recall_score
import argparse
import sys
import json
def parse_args():
parser = argparse.ArgumentParser('Evaluation script for paraphrasing classification')
parser.add_argument('--data-file', dest="data_file", help='Input data JSON file.')
if len(sys.arg... | 27.188406 | 89 | 0.58049 |
14226b4f70b68ad17a31bed860cc6e8506fdfc22 | 1,081 | py | Python | plugins/weebify.py | xditya/PikaBotPlugins | 2c5c52716158cd8964220bcc71fa383ccaf1210a | [
"Apache-2.0"
] | 2 | 2021-02-16T05:35:41.000Z | 2021-05-25T16:59:47.000Z | plugins/weebify.py | xditya/PikaBotPlugins | 2c5c52716158cd8964220bcc71fa383ccaf1210a | [
"Apache-2.0"
] | null | null | null | plugins/weebify.py | xditya/PikaBotPlugins | 2c5c52716158cd8964220bcc71fa383ccaf1210a | [
"Apache-2.0"
] | 2 | 2021-02-07T03:09:40.000Z | 2021-05-25T16:59:59.000Z | """ Weebify a text,
Ported from Saitama Bot.
By :- @PhycoNinja13b
Modified by :- @kirito6969
.weeb <text> """
from telethon import events
from uniborg.util import ItzSjDude
normiefont = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u',
'v', 'w', '... | 34.870968 | 118 | 0.539315 |
96395521ec6a85925c1d76ec243a00921f1cd5f7 | 2,258 | py | Python | rllab/envs/mujoco/swimmer_env.py | RussellM2020/maml_gps | 631560dfd4e23dc2da9bfbbd2e3c5252aa9775c5 | [
"MIT"
] | 541 | 2017-07-19T00:49:13.000Z | 2022-03-28T21:14:23.000Z | rllab/envs/mujoco/swimmer_env.py | RussellM2020/maml_gps | 631560dfd4e23dc2da9bfbbd2e3c5252aa9775c5 | [
"MIT"
] | 13 | 2018-02-28T02:29:58.000Z | 2021-03-21T13:49:49.000Z | rllab/envs/mujoco/swimmer_env.py | RussellM2020/maml_gps | 631560dfd4e23dc2da9bfbbd2e3c5252aa9775c5 | [
"MIT"
] | 168 | 2017-07-19T12:21:01.000Z | 2022-02-22T00:46:40.000Z | from rllab.envs.base import Step
from rllab.misc.overrides import overrides
from .mujoco_env import MujocoEnv
import numpy as np
from rllab.core.serializable import Serializable
from rllab.misc import logger
from rllab.misc import autoargs
class SwimmerEnv(MujocoEnv, Serializable):
FILE = 'swimmer.xml'
@aut... | 34.738462 | 78 | 0.61426 |
c81e13ca519f4e162afb1623ed39ba5aeac9bb05 | 2,866 | py | Python | models/radom_forest_regression.py | tcsong456/Amazon_employee_access | 75bdbde6d8f0434bc104aab8715fb564380e3c8a | [
"MIT"
] | null | null | null | models/radom_forest_regression.py | tcsong456/Amazon_employee_access | 75bdbde6d8f0434bc104aab8715fb564380e3c8a | [
"MIT"
] | null | null | null | models/radom_forest_regression.py | tcsong456/Amazon_employee_access | 75bdbde6d8f0434bc104aab8715fb564380e3c8a | [
"MIT"
] | null | null | null | from models import register_model,register_model_architecture
from sklearn.ensemble import RandomForestRegressor
@register_model('random_forest')
class RFRegressor:
def __init__(self,args):
model = RandomForestRegressor(max_depth=args.max_depth,
min_samples_leaf... | 52.109091 | 149 | 0.606071 |
22f22f44258b6752c8443943815453f5810b1500 | 6,130 | py | Python | lcip/libvirt.py | andrekeller/lcip | 94147b24694e95d6c539857bddb4e0772d9a5cfd | [
"MIT"
] | null | null | null | lcip/libvirt.py | andrekeller/lcip | 94147b24694e95d6c539857bddb4e0772d9a5cfd | [
"MIT"
] | null | null | null | lcip/libvirt.py | andrekeller/lcip | 94147b24694e95d6c539857bddb4e0772d9a5cfd | [
"MIT"
] | null | null | null | """lcip - libvirt api"""
# stdlib
from contextlib import suppress
from functools import partial
from pathlib import Path
from xml.dom import minidom
import xml.etree.ElementTree as ElementTree
# 3rd-party
import libvirt
# lcip
from lcip.defaults import LIBVIRT_POOL_DIR
class Libvirt:
"""Libvirt interface"""
... | 34.632768 | 98 | 0.589723 |
e6842e4dd150207fe88f6ed696a25bb025ce24a0 | 2,301 | py | Python | deepr/config/references.py | drohde/deepr | 672772ea3ce9cf391f9f8efc7ae9c9d438957817 | [
"Apache-2.0"
] | 50 | 2020-05-19T17:29:44.000Z | 2022-01-15T20:50:50.000Z | deepr/config/references.py | drohde/deepr | 672772ea3ce9cf391f9f8efc7ae9c9d438957817 | [
"Apache-2.0"
] | 75 | 2020-05-20T16:53:37.000Z | 2022-01-12T15:53:46.000Z | deepr/config/references.py | drohde/deepr | 672772ea3ce9cf391f9f8efc7ae9c9d438957817 | [
"Apache-2.0"
] | 17 | 2020-05-25T13:23:03.000Z | 2022-02-21T11:22:08.000Z | """Helpers for references"""
import logging
from typing import Dict, Any
LOGGER = logging.getLogger(__name__)
REF = "@"
REF_SELF = "@self"
REF_MACROS = "@macros"
REF_MACROS_EVAL = "@macros_eval"
def fill_references(item: Any, references: Dict[str, Any] = None) -> Any:
"""Fill all params that are references... | 30.68 | 102 | 0.670143 |
25789f3f7cf091219529d281d3e7297b0c8669c0 | 311 | py | Python | project/core/prod_settings.py | milkOSTpyt/Goods-accounting-system | ec223ed726cfa9f18d49c4233f9dc1520373c874 | [
"BSD-3-Clause"
] | null | null | null | project/core/prod_settings.py | milkOSTpyt/Goods-accounting-system | ec223ed726cfa9f18d49c4233f9dc1520373c874 | [
"BSD-3-Clause"
] | null | null | null | project/core/prod_settings.py | milkOSTpyt/Goods-accounting-system | ec223ed726cfa9f18d49c4233f9dc1520373c874 | [
"BSD-3-Clause"
] | null | null | null |
SECRET_KEY = 'b#^di6u0zal6^2gr!aa3bje#z%5123!mya@)&3p-21d(=sj5%_y9n32122'
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.postgresql_psycopg2',
'NAME': 'gasdb',
'USER': 'artem',
'PASSWORD': 'gastest911',
'HOST': 'localhost',
'PORT': '5432',
}
} | 23.923077 | 73 | 0.540193 |
b81d716c43b6f9a65d82ec101bcba66515329a37 | 6,766 | py | Python | sc2/game_state.py | drakonnan1st/JackBot | 345df784098cb9eb055b3901fe7455807c58a4e1 | [
"MIT"
] | null | null | null | sc2/game_state.py | drakonnan1st/JackBot | 345df784098cb9eb055b3901fe7455807c58a4e1 | [
"MIT"
] | null | null | null | sc2/game_state.py | drakonnan1st/JackBot | 345df784098cb9eb055b3901fe7455807c58a4e1 | [
"MIT"
] | null | null | null | """Groups some info about the all global(shared by all races) state of sc2 so it can be used in an easy way"""
from typing import List, Set
from .data import ALLIANCE, DISPLAY_TYPE
from .ids.effect_id import EffectId
from .ids.upgrade_id import UpgradeId
from .pixel_map import PixelMap
from .position import Point2, Poi... | 38.662857 | 120 | 0.649719 |
8af7f9232212e89562f8a8bef7251b906a81f380 | 7,353 | py | Python | nova/tests/functional/regressions/test_bug_1848343.py | docc-lab/nova | a948a803b561606a892133940915caae610c080b | [
"Apache-2.0"
] | null | null | null | nova/tests/functional/regressions/test_bug_1848343.py | docc-lab/nova | a948a803b561606a892133940915caae610c080b | [
"Apache-2.0"
] | null | null | null | nova/tests/functional/regressions/test_bug_1848343.py | docc-lab/nova | a948a803b561606a892133940915caae610c080b | [
"Apache-2.0"
] | null | null | null | # 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, software
# distributed under t... | 48.375 | 77 | 0.687067 |
5636abbf24d3c0aa5a2514dea0a964b9046cb029 | 7,362 | py | Python | samtranslator/plugins/api/implicit_rest_api_plugin.py | hawflau/serverless-application-model | d2cf4b7e23d26cdf677c564d53bb58e6a5b6cac2 | [
"Apache-2.0"
] | null | null | null | samtranslator/plugins/api/implicit_rest_api_plugin.py | hawflau/serverless-application-model | d2cf4b7e23d26cdf677c564d53bb58e6a5b6cac2 | [
"Apache-2.0"
] | null | null | null | samtranslator/plugins/api/implicit_rest_api_plugin.py | hawflau/serverless-application-model | d2cf4b7e23d26cdf677c564d53bb58e6a5b6cac2 | [
"Apache-2.0"
] | null | null | null | import six
from samtranslator.model.naming import GeneratedLogicalId
from samtranslator.plugins.api.implicit_api_plugin import ImplicitApiPlugin
from samtranslator.public.swagger import SwaggerEditor
from samtranslator.public.exceptions import InvalidEventException
from samtranslator.public.sdk.resource import SamReso... | 44.618182 | 118 | 0.674817 |
dd64b7f2af8e41e19a51c8f19ae00b85d629da22 | 345,605 | py | Python | google/cloud/aiplatform/training_jobs.py | connor-mccarthy/python-aiplatform | 184f7f327aa00b4c8d1acc24dcb1c4c4be6c5bcc | [
"Apache-2.0"
] | null | null | null | google/cloud/aiplatform/training_jobs.py | connor-mccarthy/python-aiplatform | 184f7f327aa00b4c8d1acc24dcb1c4c4be6c5bcc | [
"Apache-2.0"
] | null | null | null | google/cloud/aiplatform/training_jobs.py | connor-mccarthy/python-aiplatform | 184f7f327aa00b4c8d1acc24dcb1c4c4be6c5bcc | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2020 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 o... | 52.135315 | 159 | 0.629172 |
f74ae93b8cc6518cf4988a26caf259e0bc802844 | 564 | py | Python | drawer.py | janakhpon/LearnPyDacity | b096f9a50496a0c01353bf953209e766de312187 | [
"MIT"
] | null | null | null | drawer.py | janakhpon/LearnPyDacity | b096f9a50496a0c01353bf953209e766de312187 | [
"MIT"
] | null | null | null | drawer.py | janakhpon/LearnPyDacity | b096f9a50496a0c01353bf953209e766de312187 | [
"MIT"
] | null | null | null | import turtle
def draw_square(some_turtle):
for i in range(1,5):
some_turtle.forward(100)
some_turtle.right(90)
def draw_art():
window = turtle.Screen()
window.bgcolor("blue")
img_tt = turtle.Turtle()
img_tt.shape("turtle")
img_tt.color("white")
img_tt.speed(2)
for i in... | 20.142857 | 32 | 0.611702 |
ab7fe3fb1274ec045d52c3cecb2c6b61403eef0b | 2,368 | py | Python | battements/sinusoide_effet_des_parametres.py | mabuchet/cours_terminale | 7bb8dcacbc2b9a305ff6a7f04aea80f7f2bbc690 | [
"MIT"
] | null | null | null | battements/sinusoide_effet_des_parametres.py | mabuchet/cours_terminale | 7bb8dcacbc2b9a305ff6a7f04aea80f7f2bbc690 | [
"MIT"
] | null | null | null | battements/sinusoide_effet_des_parametres.py | mabuchet/cours_terminale | 7bb8dcacbc2b9a305ff6a7f04aea80f7f2bbc690 | [
"MIT"
] | null | null | null | """
Auteur : Marc-Antoine BUCHET
Date : 31/03/2021
BUT :
Tracer la représentation graphique d'une sinusoïde et voir l'effet des
différents paramètres sur le signal.
"""
# Imports de bibliothèques :
import numpy as np
import matplotlib.pyplot as plt
#===================================================================... | 30.358974 | 80 | 0.454814 |
c79b608aa45609979a8d6a181bce06ee0a5f8b11 | 2,367 | py | Python | fulljson/collections.py | 15045120/FullJSON | de4e6fb0e125182bee7619b1bc58ee8c33f8b7c7 | [
"MIT"
] | 1 | 2020-01-11T18:19:44.000Z | 2020-01-11T18:19:44.000Z | fulljson/collections.py | 15045120/FullJSON | de4e6fb0e125182bee7619b1bc58ee8c33f8b7c7 | [
"MIT"
] | null | null | null | fulljson/collections.py | 15045120/FullJSON | de4e6fb0e125182bee7619b1bc58ee8c33f8b7c7 | [
"MIT"
] | 1 | 2021-04-17T18:49:57.000Z | 2021-04-17T18:49:57.000Z | # -*- coding: UTF-8 -*-
class StackEmptyError(Exception):
def __init__(self, message):
self.message = message
def __str__(self):
return repr(self.message)
class Stack(object):
def __init__(self):
self.__values = []
self.__index = -1
self.top = None
def push(self... | 26.3 | 69 | 0.55978 |
309c38396ea7459be624995852928acc3fe56fcc | 3,308 | py | Python | examples/turtlebot-master/goforward_and_avoid_obstacle.py | LiuSeeker/Robotica-projeto-1 | 425795d51232470ac840faf9dc7d97863d801554 | [
"CECILL-B"
] | 1 | 2019-07-14T21:27:21.000Z | 2019-07-14T21:27:21.000Z | examples/turtlebot-master/goforward_and_avoid_obstacle.py | LiuSeeker/Robotica-projeto-1 | 425795d51232470ac840faf9dc7d97863d801554 | [
"CECILL-B"
] | null | null | null | examples/turtlebot-master/goforward_and_avoid_obstacle.py | LiuSeeker/Robotica-projeto-1 | 425795d51232470ac840faf9dc7d97863d801554 | [
"CECILL-B"
] | null | null | null | #!/usr/bin/env python
'''
Copyright (c) 2015, Mark Silliman
All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this list of condit... | 44.106667 | 755 | 0.765115 |
c8b35aca1b223fc9978906fa7ad5d6457caed1ef | 9,707 | py | Python | test/test_client.py | pkuyouth/pkuyouth-updater-v2 | 779d11e99bf1847422a77fc69b58980d74346e33 | [
"MIT"
] | null | null | null | test/test_client.py | pkuyouth/pkuyouth-updater-v2 | 779d11e99bf1847422a77fc69b58980d74346e33 | [
"MIT"
] | null | null | null | test/test_client.py | pkuyouth/pkuyouth-updater-v2 | 779d11e99bf1847422a77fc69b58980d74346e33 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# ---------------------------------------
# Project: PKUYouth Webserver v2
# File: test_client.py
# Created Date: 2020-08-03
# Author: Xinghong Zhong
# ---------------------------------------
# Copyright (c) 2020 PKUYouth
import sys
sys.path.append('../')
import os
impor... | 26.235135 | 153 | 0.563923 |
20099bc28e7c7e4c286dba97ab68334c0f2b66f6 | 4,863 | py | Python | test/functional/wallet_importprunedfunds.py | Crowntium/crowntium | 78c17071dbb957d7799d2508448413bdbea09c2d | [
"MIT"
] | null | null | null | test/functional/wallet_importprunedfunds.py | Crowntium/crowntium | 78c17071dbb957d7799d2508448413bdbea09c2d | [
"MIT"
] | null | null | null | test/functional/wallet_importprunedfunds.py | Crowntium/crowntium | 78c17071dbb957d7799d2508448413bdbea09c2d | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2014-2018 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test the importprunedfunds and removeprunedfunds RPCs."""
from decimal import Decimal
from test_framew... | 40.865546 | 117 | 0.684557 |
bb423a2d86772ee4b9f05382c1b222329578a7ff | 6,266 | py | Python | tests/lib/server.py | j420247/pip | 33cd93cac86690134e8b4874ac42c4e0ce8770d2 | [
"MIT"
] | 1 | 2019-12-20T05:27:25.000Z | 2019-12-20T05:27:25.000Z | tests/lib/server.py | j420247/pip | 33cd93cac86690134e8b4874ac42c4e0ce8770d2 | [
"MIT"
] | 7 | 2019-12-27T07:56:50.000Z | 2022-01-25T03:41:39.000Z | tests/lib/server.py | j420247/pip | 33cd93cac86690134e8b4874ac42c4e0ce8770d2 | [
"MIT"
] | 1 | 2020-02-14T16:53:19.000Z | 2020-02-14T16:53:19.000Z | import os
import signal
import ssl
import threading
from contextlib import contextmanager
from textwrap import dedent
from mock import Mock
from pip._vendor.contextlib2 import nullcontext
from werkzeug.serving import WSGIRequestHandler
from werkzeug.serving import make_server as _make_server
from pip._internal.utils.... | 29.41784 | 79 | 0.63262 |
08ef496b3d7ebf85fec2d743cdf2f72b128e1e55 | 13,677 | py | Python | src/oscar/apps/dashboard/views.py | guidoaaroni/arandu | e1553b21516f38fd2fb10cf65204541efd3c8b54 | [
"BSD-3-Clause"
] | 3 | 2020-03-30T13:11:57.000Z | 2020-04-22T13:55:31.000Z | src/oscar/apps/dashboard/views.py | guidoaaroni/arandu | e1553b21516f38fd2fb10cf65204541efd3c8b54 | [
"BSD-3-Clause"
] | 9 | 2020-10-29T08:03:28.000Z | 2021-09-08T01:21:10.000Z | src/oscar/apps/dashboard/views.py | guidoaaroni/arandu | e1553b21516f38fd2fb10cf65204541efd3c8b54 | [
"BSD-3-Clause"
] | 2 | 2021-01-06T19:25:07.000Z | 2021-05-14T02:00:19.000Z | import json
from datetime import timedelta
from decimal import Decimal as D
from decimal import ROUND_UP
from django.db.models import Avg, Count, Sum
from django.template.response import TemplateResponse
from django.utils import six
from django.utils.timezone import now
from django.views.generic import TemplateView
f... | 40.705357 | 133 | 0.640638 |
b1ee27e7257a1b5c0e6a0d76ace03f169791658b | 1,572 | py | Python | src/transformers/models/__init__.py | JosephCatrambone/transformers | eca241861ecadbbe22103d347b51e8df89c46cd3 | [
"Apache-2.0"
] | 39 | 2021-04-30T06:06:30.000Z | 2022-03-12T11:56:06.000Z | src/transformers/models/__init__.py | JosephCatrambone/transformers | eca241861ecadbbe22103d347b51e8df89c46cd3 | [
"Apache-2.0"
] | 3 | 2021-08-19T09:56:35.000Z | 2021-12-05T20:30:08.000Z | src/transformers/models/__init__.py | JosephCatrambone/transformers | eca241861ecadbbe22103d347b51e8df89c46cd3 | [
"Apache-2.0"
] | 30 | 2021-04-30T07:11:22.000Z | 2022-03-15T19:34:58.000Z | # flake8: noqa
# There's no way to ignore "F401 '...' imported but unused" warnings in this
# module, but to preserve other warnings. So, don't check this module at all.
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use thi... | 19.65 | 77 | 0.647583 |
3d9cdee7f07f967e53dfb45d77dfa1f9819237fc | 1,301 | py | Python | script/update_golang_x.py | jamestutton/beats | 913f7eeaa76dcd072854b2696b32cde78763599e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | script/update_golang_x.py | jamestutton/beats | 913f7eeaa76dcd072854b2696b32cde78763599e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | script/update_golang_x.py | jamestutton/beats | 913f7eeaa76dcd072854b2696b32cde78763599e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | import json
import os
import argparse
import subprocess
def update(pkg_name):
"""Call govendor on the targeted golang/x packages"""
vendor_file = os.path.join('vendor', 'vendor.json')
target = 'golang.org/x/{}'.format(pkg_name)
with open(vendor_file) as content:
deps = json.load(content)
... | 32.525 | 110 | 0.671022 |
13e0eaab364e7e32b87ace24ff7e82603eebf3a2 | 64,587 | py | Python | correios/models/data.py | Gikeda2016/Correios-olist | 4906175bad289b3164ebebb73e5ee16450784fac | [
"Apache-2.0"
] | null | null | null | correios/models/data.py | Gikeda2016/Correios-olist | 4906175bad289b3164ebebb73e5ee16450784fac | [
"Apache-2.0"
] | null | null | null | correios/models/data.py | Gikeda2016/Correios-olist | 4906175bad289b3164ebebb73e5ee16450784fac | [
"Apache-2.0"
] | null | null | null | # Copyright 2016 Osvaldo Santana Neto
#
# 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 ... | 39.262614 | 117 | 0.596591 |
e28e4f20768f756e3e2cf3b711294274d47c6a80 | 1,873 | py | Python | examples/examples_test.py | jarrodmcc/OpenFermion-Cirq | d0755e92e68c6de1b52f5004dc5a75b445f01349 | [
"Apache-2.0"
] | null | null | null | examples/examples_test.py | jarrodmcc/OpenFermion-Cirq | d0755e92e68c6de1b52f5004dc5a75b445f01349 | [
"Apache-2.0"
] | null | null | null | examples/examples_test.py | jarrodmcc/OpenFermion-Cirq | d0755e92e68c6de1b52f5004dc5a75b445f01349 | [
"Apache-2.0"
] | null | null | null | # 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, software
# distributed under t... | 32.859649 | 74 | 0.684463 |
6ca1c3fa0cda06137248c06e3ca744e7e1604d37 | 5,984 | py | Python | tests/test_gbox_ops.py | opendatacube/odc-geo | 4f9004720d899dff4bf0b208e4fe602790d055d7 | [
"Apache-2.0"
] | 5 | 2021-12-22T01:32:24.000Z | 2022-03-10T07:50:34.000Z | tests/test_gbox_ops.py | opendatacube/odc-geo | 4f9004720d899dff4bf0b208e4fe602790d055d7 | [
"Apache-2.0"
] | 29 | 2022-01-11T08:48:23.000Z | 2022-03-29T09:03:42.000Z | tests/test_gbox_ops.py | opendatacube/odc-geo | 4f9004720d899dff4bf0b208e4fe602790d055d7 | [
"Apache-2.0"
] | 2 | 2022-01-26T23:20:34.000Z | 2022-03-21T16:54:00.000Z | # This file is part of the Open Data Cube, see https://opendatacube.org for more information
#
# Copyright (c) 2015-2020 ODC Contributors
# SPDX-License-Identifier: Apache-2.0
import numpy as np
import pytest
from affine import Affine
from odc.geo import CRSMismatchError
from odc.geo import geobox as gbx
from odc.geo ... | 29.333333 | 92 | 0.598429 |
b6b4ac1a9f41d40138e59a1f7d9e7d82c2d0be00 | 11,431 | py | Python | mriqc/interfaces/anatomical.py | effigies/mriqc | de60ff0f65e4fe0e315143fe3b75ecd940beb2b1 | [
"BSD-3-Clause"
] | null | null | null | mriqc/interfaces/anatomical.py | effigies/mriqc | de60ff0f65e4fe0e315143fe3b75ecd940beb2b1 | [
"BSD-3-Clause"
] | null | null | null | mriqc/interfaces/anatomical.py | effigies/mriqc | de60ff0f65e4fe0e315143fe3b75ecd940beb2b1 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- 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:
#
# @Author: oesteban
# @Date: 2016-01-05 11:29:40
# @Email: code@oscaresteban.es
# @Last modified by: oesteban
# @Last Modified time: 2016-11-21 18:59:13
... | 36.288889 | 88 | 0.633278 |
428a877bdfde57f80493918690f6b10cb02f83ec | 631 | py | Python | sdk/synapse/azure-synapse-managedprivateendpoints/azure/synapse/managedprivateendpoints/__init__.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 2,728 | 2015-01-09T10:19:32.000Z | 2022-03-31T14:50:33.000Z | sdk/synapse/azure-synapse-managedprivateendpoints/azure/synapse/managedprivateendpoints/__init__.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 17,773 | 2015-01-05T15:57:17.000Z | 2022-03-31T23:50:25.000Z | sdk/synapse/azure-synapse-managedprivateendpoints/azure/synapse/managedprivateendpoints/__init__.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 1,916 | 2015-01-19T05:05:41.000Z | 2022-03-31T19:36:44.000Z | # 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 ... | 37.117647 | 94 | 0.575277 |
77a6564d33a2fbfa1b100645e105c1be7e5c3eee | 1,015 | py | Python | testapp/wagtail_wordpress_importer/migrations/0011_auto_20210107_1334.py | nickmoreton/wagtail_wordpress_importer | fbe6b60ae624edac3f42a62ce30af4a0c548b4ed | [
"MIT"
] | null | null | null | testapp/wagtail_wordpress_importer/migrations/0011_auto_20210107_1334.py | nickmoreton/wagtail_wordpress_importer | fbe6b60ae624edac3f42a62ce30af4a0c548b4ed | [
"MIT"
] | null | null | null | testapp/wagtail_wordpress_importer/migrations/0011_auto_20210107_1334.py | nickmoreton/wagtail_wordpress_importer | fbe6b60ae624edac3f42a62ce30af4a0c548b4ed | [
"MIT"
] | null | null | null | # Generated by Django 3.1.4 on 2021-01-07 13:34
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('wagtail_wordpress_importer', '0010_historicalimportmedia_importmedia'),
]
operations = [
migrations.AlterModelOptions(
name='his... | 31.71875 | 136 | 0.612808 |
e10ffc4170013d48ebcbb853eadb1ac7849efc85 | 678 | py | Python | blogtools/tests/test_blog/admin.py | ixc/glamkit-blogtools | a3024d983eabafeba5df789eacbcc389e4181866 | [
"BSD-3-Clause"
] | null | null | null | blogtools/tests/test_blog/admin.py | ixc/glamkit-blogtools | a3024d983eabafeba5df789eacbcc389e4181866 | [
"BSD-3-Clause"
] | null | null | null | blogtools/tests/test_blog/admin.py | ixc/glamkit-blogtools | a3024d983eabafeba5df789eacbcc389e4181866 | [
"BSD-3-Clause"
] | null | null | null | from django.contrib import admin
from feincms.admin.item_editor import FEINCMS_CONTENT_FIELDSET
from feincmstools.admin import FeinCMSDocumentAdmin
from blogtools.admin import CategoryEntryModelAdmin, CategoryModelAdmin
from .models import Entry, Category
class EntryAdmin(CategoryEntryModelAdmin, FeinCMSDocumentAdmin)... | 39.882353 | 74 | 0.771386 |
dc4e0ccf23048896ae4691976aff93ec0429ddab | 2,354 | py | Python | test/test_scs_rand.py | SteveDiamond/scs-python | dfacf32d6d92fb4801f4ebc4eed5023a8afe5604 | [
"MIT"
] | 33 | 2018-02-03T00:10:09.000Z | 2022-01-01T20:34:25.000Z | test/test_scs_rand.py | SteveDiamond/scs-python | dfacf32d6d92fb4801f4ebc4eed5023a8afe5604 | [
"MIT"
] | 55 | 2018-03-12T22:21:48.000Z | 2022-02-18T14:39:07.000Z | test/test_scs_rand.py | SteveDiamond/scs-python | dfacf32d6d92fb4801f4ebc4eed5023a8afe5604 | [
"MIT"
] | 24 | 2018-04-18T03:29:22.000Z | 2022-03-01T13:30:36.000Z | from __future__ import print_function
import platform
## import utilities to generate random cone probs:
import sys
import gen_random_cone_prob as tools
def import_error(msg):
print()
print("## IMPORT ERROR:" + msg)
print()
try:
import pytest
except ImportError:
import_error("Please install pyt... | 22.854369 | 76 | 0.649958 |
5a5a8fa5f33e6c6d43bf63b5090e6b8fc9bf4553 | 8,435 | py | Python | Grand_Command00/mainMenu.py | CyborgVillager/Grand-Command | 30800b8b512d26b7785d7bb7665e5f518a7cdf3f | [
"MIT"
] | null | null | null | Grand_Command00/mainMenu.py | CyborgVillager/Grand-Command | 30800b8b512d26b7785d7bb7665e5f518a7cdf3f | [
"MIT"
] | null | null | null | Grand_Command00/mainMenu.py | CyborgVillager/Grand-Command | 30800b8b512d26b7785d7bb7665e5f518a7cdf3f | [
"MIT"
] | null | null | null | from gc_source_modules import *
# Load the images
def load_images(path_to_directory, height, width):
import os
import pygame
images = {}
for dirpath, dirnames, filenames in os.walk(path_to_directory):
for name in filenames:
if name.endswith('.png'):
key = name[:-4]
... | 40.552885 | 118 | 0.470658 |
905472b4b0415f551726ef2eeca56117b9c6218e | 4,671 | py | Python | MADDPG/train.py | holestine/Reinforcement-Learning | 538c3a9089294890d320c72696f4440a79a2415a | [
"MIT"
] | 1 | 2018-11-07T21:32:42.000Z | 2018-11-07T21:32:42.000Z | MADDPG/train.py | holestine/Reinforcement-Learning | 538c3a9089294890d320c72696f4440a79a2415a | [
"MIT"
] | null | null | null | MADDPG/train.py | holestine/Reinforcement-Learning | 538c3a9089294890d320c72696f4440a79a2415a | [
"MIT"
] | null | null | null | from unityagents import UnityEnvironment
import numpy as np
import torch
import matplotlib.pyplot as plt
from ddpg_agent import Agent
from buffer import ReplayBuffer
BUFFER_SIZE = int(1e6) # Replay buffer size
BATCH_SIZE = 1024 # Minibatch size
# Get the Unity environment for vector observations
env = UnityEnv... | 39.923077 | 173 | 0.593021 |
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