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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7953ce9836a274d9c32140c193b43e238251adbf | 31,921 | py | Python | Incident-Response/Tools/dfirtrack/dfirtrack_artifacts/tests/artifact/test_artifact_exporter_spreadsheet_xls_views.py | sn0b4ll/Incident-Playbook | cf519f58fcd4255674662b3620ea97c1091c1efb | [
"MIT"
] | 1 | 2021-07-24T17:22:50.000Z | 2021-07-24T17:22:50.000Z | Incident-Response/Tools/dfirtrack/dfirtrack_artifacts/tests/artifact/test_artifact_exporter_spreadsheet_xls_views.py | sn0b4ll/Incident-Playbook | cf519f58fcd4255674662b3620ea97c1091c1efb | [
"MIT"
] | 2 | 2022-02-28T03:40:31.000Z | 2022-02-28T03:40:52.000Z | Incident-Response/Tools/dfirtrack/dfirtrack_artifacts/tests/artifact/test_artifact_exporter_spreadsheet_xls_views.py | sn0b4ll/Incident-Playbook | cf519f58fcd4255674662b3620ea97c1091c1efb | [
"MIT"
] | 2 | 2022-02-25T08:34:51.000Z | 2022-03-16T17:29:44.000Z | from datetime import datetime
from django.contrib.auth.models import User
from django.test import TestCase
from django.utils import timezone
from dfirtrack_artifacts.exporter.spreadsheet.xls import artifact_cron
from dfirtrack_artifacts.models import Artifact, Artifactstatus, Artifacttype
from dfirtrack_config.models i... | 61.268714 | 293 | 0.740986 |
7953ceede916ce16308fd64918d79c75fece3e0d | 12,594 | py | Python | python/tensorflow_sample/Ver2.x/06_optimizer/trainer/trainer.py | ryoma-jp/samples | 85c0be62f9de1194121d225adee12c9810229960 | [
"Apache-2.0"
] | null | null | null | python/tensorflow_sample/Ver2.x/06_optimizer/trainer/trainer.py | ryoma-jp/samples | 85c0be62f9de1194121d225adee12c9810229960 | [
"Apache-2.0"
] | null | null | null | python/tensorflow_sample/Ver2.x/06_optimizer/trainer/trainer.py | ryoma-jp/samples | 85c0be62f9de1194121d225adee12c9810229960 | [
"Apache-2.0"
] | null | null | null | #! -*- coding: utf-8 -*-
#---------------------------------
# モジュールのインポート
#---------------------------------
import os
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras.preprocessing.image import ImageDataGenerator
#-----... | 33.584 | 114 | 0.662061 |
7953cf3df110a0380fd68c85de561c8dcf9092bd | 3,845 | py | Python | tordatahub/tests/blob/blob_topic_pub.py | jasonz93/python-tordatahub | 3a9a497d5a0bebf915d7e24049dd8b06099e3c04 | [
"Apache-2.0"
] | null | null | null | tordatahub/tests/blob/blob_topic_pub.py | jasonz93/python-tordatahub | 3a9a497d5a0bebf915d7e24049dd8b06099e3c04 | [
"Apache-2.0"
] | null | null | null | tordatahub/tests/blob/blob_topic_pub.py | jasonz93/python-tordatahub | 3a9a497d5a0bebf915d7e24049dd8b06099e3c04 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# 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... | 33.434783 | 96 | 0.650455 |
7953cf45598e56833d175d017d7466830cd8c281 | 8,472 | py | Python | nova/api/openstack/compute/contrib/os_tenant_networks.py | TMaddox/nova | e5c169d15528a8e2eadb8eca668ea0d183cf8648 | [
"Apache-2.0"
] | null | null | null | nova/api/openstack/compute/contrib/os_tenant_networks.py | TMaddox/nova | e5c169d15528a8e2eadb8eca668ea0d183cf8648 | [
"Apache-2.0"
] | null | null | null | nova/api/openstack/compute/contrib/os_tenant_networks.py | TMaddox/nova | e5c169d15528a8e2eadb8eca668ea0d183cf8648 | [
"Apache-2.0"
] | null | null | null | # Copyright 2013 OpenStack Foundation
# 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 requ... | 37.157895 | 78 | 0.612016 |
7953cff5e22045880a88f583d63dfa688e8712e4 | 72,532 | py | Python | graph_compression/compression_lib/compression_op.py | pervrosen/google-research | 70e862c1463969f4e44f87f51e398a8b3aa48fd5 | [
"Apache-2.0"
] | 2 | 2021-09-04T09:08:38.000Z | 2021-09-04T09:08:44.000Z | graph_compression/compression_lib/compression_op.py | xingyul/google-research | 45eca1118642cc1257824856ac6e1ab0aa7bf299 | [
"Apache-2.0"
] | null | null | null | graph_compression/compression_lib/compression_op.py | xingyul/google-research | 45eca1118642cc1257824856ac6e1ab0aa7bf299 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2021 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... | 39.700055 | 90 | 0.671345 |
7953d0fc2ad622a50b15d569e46f56c509413ecb | 6,783 | py | Python | third_party/WebKit/Source/bindings/scripts/code_generator_web_module.py | google-ar/chromium | 2441c86a5fd975f09a6c30cddb57dfb7fc239699 | [
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 777 | 2017-08-29T15:15:32.000Z | 2022-03-21T05:29:41.000Z | third_party/WebKit/Source/bindings/scripts/code_generator_web_module.py | harrymarkovskiy/WebARonARCore | 2441c86a5fd975f09a6c30cddb57dfb7fc239699 | [
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 66 | 2017-08-30T18:31:18.000Z | 2021-08-02T10:59:35.000Z | third_party/WebKit/Source/bindings/scripts/code_generator_web_module.py | harrymarkovskiy/WebARonARCore | 2441c86a5fd975f09a6c30cddb57dfb7fc239699 | [
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 123 | 2017-08-30T01:19:34.000Z | 2022-03-17T22:55:31.000Z | # Copyright 2016 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
# pylint: disable=import-error,print-statement,relative-import
"""Generates Blink Web Module bindings.
The Blink Web Module bindings provide a stable, IDL-... | 36.86413 | 80 | 0.701902 |
7953d23e9ee28c6540142bfe54dbf185ea6e76f6 | 12,890 | py | Python | setup.py | Technologicat/orderfix | 0235bec6bd4ad978356540d91878aed4a09826f6 | [
"BSD-2-Clause"
] | null | null | null | setup.py | Technologicat/orderfix | 0235bec6bd4ad978356540d91878aed4a09826f6 | [
"BSD-2-Clause"
] | null | null | null | setup.py | Technologicat/orderfix | 0235bec6bd4ad978356540d91878aed4a09826f6 | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
#
"""setuptools-based setup.py for orderfix.
Supports Python 2.7 and 3.4.
Usage as usual with setuptools:
python setup.py build_ext
python setup.py build
python setup.py install
python setup.py sdist
For details, see
http://setuptools.readthedocs.io/en/latest/setuptools.ht... | 35.706371 | 141 | 0.647711 |
7953d2620d0c0f24e66264d86d5d612f57dd9825 | 2,297 | py | Python | zerver/webhooks/travis/tests.py | TylerPham2000/zulip | 2e7aaba0dde5517b4a55cb0bd782f009be45e3ba | [
"Apache-2.0"
] | 2 | 2020-11-12T12:28:46.000Z | 2020-11-16T11:17:46.000Z | zerver/webhooks/travis/tests.py | TylerPham2000/zulip | 2e7aaba0dde5517b4a55cb0bd782f009be45e3ba | [
"Apache-2.0"
] | 1 | 2021-08-05T14:46:02.000Z | 2021-08-05T14:46:02.000Z | zerver/webhooks/travis/tests.py | TylerPham2000/zulip | 2e7aaba0dde5517b4a55cb0bd782f009be45e3ba | [
"Apache-2.0"
] | 1 | 2021-08-05T14:27:13.000Z | 2021-08-05T14:27:13.000Z | import urllib
from zerver.lib.test_classes import WebhookTestCase
class TravisHookTests(WebhookTestCase):
STREAM_NAME = "travis"
URL_TEMPLATE = "/api/v1/external/travis?stream={stream}&api_key={api_key}"
FIXTURE_DIR_NAME = "travis"
TOPIC = "builds"
def test_travis_message(self) -> None:
... | 35.890625 | 92 | 0.626905 |
7953d269697a37a2692729c2c5d831ecc69509fe | 187 | py | Python | Basics of Classes 3.py | soer7022/hacktoberfest | e7c636bead5309f1e959decce99e745b37735ccd | [
"MIT"
] | null | null | null | Basics of Classes 3.py | soer7022/hacktoberfest | e7c636bead5309f1e959decce99e745b37735ccd | [
"MIT"
] | 2 | 2020-10-13T15:11:57.000Z | 2020-10-13T15:15:01.000Z | Basics of Classes 3.py | soer7022/hacktoberfest | e7c636bead5309f1e959decce99e745b37735ccd | [
"MIT"
] | 11 | 2020-10-06T07:25:06.000Z | 2020-10-25T23:03:38.000Z | class New:
def __init__(self, x,y):
self.x= x
self.new= y
def tr(self):
print(f'hii{self.new}')
point = New(9,10)
print(point.new)
point.tr()
| 15.583333 | 32 | 0.508021 |
7953d32ac520a141741a809a8c62a773be35a056 | 2,276 | py | Python | protopype/find_similar_images.py | sumeetkr/ClusteringSimilarImages | 53689a3c23361c73dde17ca61c21c6aaa37036c0 | [
"Apache-2.0"
] | null | null | null | protopype/find_similar_images.py | sumeetkr/ClusteringSimilarImages | 53689a3c23361c73dde17ca61c21c6aaa37036c0 | [
"Apache-2.0"
] | null | null | null | protopype/find_similar_images.py | sumeetkr/ClusteringSimilarImages | 53689a3c23361c73dde17ca61c21c6aaa37036c0 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
from __future__ import (absolute_import, division, print_function)
from PIL import Image
import six
import imagehash
"""
Demo of hashing
"""
def find_similar_images(userpaths, hashfunc = imagehash.average_hash):
print('finding similar images')
import os
def is_image(filename):
... | 29.179487 | 108 | 0.614675 |
7953d4a4609ee610be6b513c08a2b2fff3c93a25 | 13,202 | py | Python | tests/test_simple.py | JoostvDoorn/pywren | 04ded2c2c90ad72dfb40a1ade6def5a2be403f3a | [
"Apache-2.0"
] | 630 | 2017-02-24T17:15:05.000Z | 2022-03-29T23:27:06.000Z | tests/test_simple.py | Scusemua/pywren | 57f8ac9d988fea60df9510fc80c0e44d037d0e8c | [
"Apache-2.0"
] | 234 | 2017-02-24T02:56:58.000Z | 2022-03-06T21:17:13.000Z | tests/test_simple.py | Scusemua/pywren | 57f8ac9d988fea60df9510fc80c0e44d037d0e8c | [
"Apache-2.0"
] | 96 | 2017-02-25T02:17:10.000Z | 2022-03-16T04:30:52.000Z | #
# Copyright 2018 PyWren Team
#
# 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... | 26.887984 | 100 | 0.58726 |
7953d4e52373eedae4c939dfa3bc4df196476455 | 13,525 | py | Python | pypy/module/_io/test/test_io.py | m4sterchain/mesapy | ed546d59a21b36feb93e2309d5c6b75aa0ad95c9 | [
"Apache-2.0",
"OpenSSL"
] | 381 | 2018-08-18T03:37:22.000Z | 2022-02-06T23:57:36.000Z | pypy/module/_io/test/test_io.py | m4sterchain/mesapy | ed546d59a21b36feb93e2309d5c6b75aa0ad95c9 | [
"Apache-2.0",
"OpenSSL"
] | 16 | 2018-09-22T18:12:47.000Z | 2022-02-22T20:03:59.000Z | pypy/module/_io/test/test_io.py | m4sterchain/mesapy | ed546d59a21b36feb93e2309d5c6b75aa0ad95c9 | [
"Apache-2.0",
"OpenSSL"
] | 30 | 2018-08-20T03:16:34.000Z | 2022-01-12T17:39:22.000Z | from __future__ import with_statement
from rpython.tool.udir import udir
class AppTestIoModule:
spaceconfig = dict(usemodules=['_io'])
def test_import(self):
import io
def test_iobase(self):
import io
io.IOBase()
class MyFile(io.BufferedIOBase):
def __init__... | 30.257271 | 78 | 0.478447 |
7953d52c80347444ecae94c7d8ec4726bcb1dcbb | 10,156 | py | Python | tensorlayer/layers/normalization.py | awesome-archive/tensorlayer | 120a79f957926475b6f3db02da71a269f8130771 | [
"Apache-2.0"
] | null | null | null | tensorlayer/layers/normalization.py | awesome-archive/tensorlayer | 120a79f957926475b6f3db02da71a269f8130771 | [
"Apache-2.0"
] | null | null | null | tensorlayer/layers/normalization.py | awesome-archive/tensorlayer | 120a79f957926475b6f3db02da71a269f8130771 | [
"Apache-2.0"
] | 1 | 2018-03-12T23:57:57.000Z | 2018-03-12T23:57:57.000Z | # -*- coding: utf-8 -*-
from .core import *
class LocalResponseNormLayer(Layer):
"""The :class:`LocalResponseNormLayer` layer is for Local Response Normalization.
See ``tf.nn.local_response_normalization`` or ``tf.nn.lrn`` for new TF version.
The 4-D input tensor is a 3-D array of 1-D vectors (along the ... | 38.037453 | 177 | 0.604766 |
7953d5fe533f17e515b79510955f8974d000fbae | 12,783 | py | Python | doc/user-manual/conf.py | Blaisorblade/Agda | 802a28aa8374f15fe9d011ceb80317fdb1ec0949 | [
"BSD-3-Clause"
] | 3 | 2015-03-28T14:51:03.000Z | 2015-12-07T20:14:00.000Z | doc/user-manual/conf.py | Blaisorblade/Agda | 802a28aa8374f15fe9d011ceb80317fdb1ec0949 | [
"BSD-3-Clause"
] | null | null | null | doc/user-manual/conf.py | Blaisorblade/Agda | 802a28aa8374f15fe9d011ceb80317fdb1ec0949 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Agda documentation build configuration file, created by
# sphinx-quickstart on Sun Jun 5 20:41:51 2016.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All ... | 28.790541 | 534 | 0.704451 |
7953d615d03fc3f6770a98ca34b2919aeaf97037 | 2,606 | py | Python | tests/download_test_images.py | imi-bigpicture/opentile | 1a84284c5bc2c3515e14d5345b6077842897b547 | [
"Apache-2.0"
] | 4 | 2021-12-02T17:19:10.000Z | 2022-02-02T16:35:48.000Z | tests/download_test_images.py | sectra-medical/opentile | 1a84284c5bc2c3515e14d5345b6077842897b547 | [
"Apache-2.0"
] | 6 | 2021-12-02T13:22:04.000Z | 2022-03-09T14:01:19.000Z | tests/download_test_images.py | sectra-medical/opentile | 1a84284c5bc2c3515e14d5345b6077842897b547 | [
"Apache-2.0"
] | 4 | 2022-02-04T08:24:20.000Z | 2022-02-16T12:39:39.000Z | # Copyright 2022 SECTRA AB
#
# 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... | 38.323529 | 90 | 0.670376 |
7953d6327cf2a8243ca7efa2bc44a3dab3826773 | 4,516 | py | Python | config/settings/production.py | DustinHolden/challenge | 7c62acb965600a9532aef35eb02545872cf39cc7 | [
"MIT"
] | null | null | null | config/settings/production.py | DustinHolden/challenge | 7c62acb965600a9532aef35eb02545872cf39cc7 | [
"MIT"
] | null | null | null | config/settings/production.py | DustinHolden/challenge | 7c62acb965600a9532aef35eb02545872cf39cc7 | [
"MIT"
] | null | null | null | from .common import * # noqa
from .common import env
# GENERAL
# ------------------------------------------------------------------------------
# https://docs.djangoproject.com/en/dev/ref/settings/#secret-key
SECRET_KEY = env('DJANGO_SECRET_KEY')
# https://docs.djangoproject.com/en/dev/ref/settings/#allowed-hosts
ALL... | 37.016393 | 87 | 0.579717 |
7953d650636be17aec36a20133846faec5f03c89 | 67,029 | py | Python | venv/lib/python3.8/site-packages/pandas/tests/dtypes/test_inference.py | johncollinsai/post-high-frequency-data | 88533b0e0afc7e7f82fee1d3ca4b68abc30aaeb4 | [
"MIT"
] | 3 | 2018-04-24T13:31:51.000Z | 2019-07-09T07:31:43.000Z | venv/lib/python3.8/site-packages/pandas/tests/dtypes/test_inference.py | johncollinsai/post-high-frequency-data | 88533b0e0afc7e7f82fee1d3ca4b68abc30aaeb4 | [
"MIT"
] | 5 | 2022-02-13T14:38:04.000Z | 2022-02-15T00:13:07.000Z | venv/lib/python3.8/site-packages/pandas/tests/dtypes/test_inference.py | johncollinsai/post-high-frequency-data | 88533b0e0afc7e7f82fee1d3ca4b68abc30aaeb4 | [
"MIT"
] | 5 | 2018-04-24T13:31:56.000Z | 2021-10-21T05:06:23.000Z | """
These the test the public routines exposed in types/common.py
related to inference and not otherwise tested in types/test_common.py
"""
import collections
from collections import namedtuple
from datetime import (
date,
datetime,
time,
timedelta,
)
from decimal import Decimal
from fractions import F... | 34.285934 | 88 | 0.597458 |
7953d6718675c6416d04d20c4ccca1176e1469c7 | 9,488 | py | Python | tds/commands/application.py | minddrive/tds | 573836434c76603fdd3dd9e07545b48f86e5f70f | [
"Apache-2.0"
] | 1 | 2020-01-02T13:44:23.000Z | 2020-01-02T13:44:23.000Z | tds/commands/application.py | minddrive/tds | 573836434c76603fdd3dd9e07545b48f86e5f70f | [
"Apache-2.0"
] | 1 | 2016-08-16T18:35:51.000Z | 2016-08-16T18:35:51.000Z | tds/commands/application.py | minddrive/tds | 573836434c76603fdd3dd9e07545b48f86e5f70f | [
"Apache-2.0"
] | 1 | 2016-08-02T06:06:35.000Z | 2016-08-02T06:06:35.000Z | # Copyright 2016 Ifwe Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, so... | 34.129496 | 78 | 0.574304 |
7953d6cc35a9f40a4fb409038ff1830710cfd387 | 3,424 | py | Python | code/data_process.py | IBM/answer-type-prediction | 5818237ed9f0f5de6f8b8de8f16ef7efabbf414b | [
"Apache-2.0"
] | null | null | null | code/data_process.py | IBM/answer-type-prediction | 5818237ed9f0f5de6f8b8de8f16ef7efabbf414b | [
"Apache-2.0"
] | null | null | null | code/data_process.py | IBM/answer-type-prediction | 5818237ed9f0f5de6f8b8de8f16ef7efabbf414b | [
"Apache-2.0"
] | null | null | null | import torch
from torch.utils.data import TensorDataset
import utils
def get_context_representation(
text,
tokenizer,
max_seq_length,
):
context_tokens = tokenizer.tokenize(text)
context_ids = tokenizer.convert_tokens_to_ids(context_tokens)
context_ids = context_ids[:(max_seq_len... | 34.24 | 132 | 0.710864 |
7953d72c3698648f598a58f2c9f5a8f0542f0017 | 25,500 | py | Python | tasks-deploy/patched-python/check.py | HackerDom/qctf-starter-2018 | f4eef0fd41d777661b9fbcc61dcee9709d9f6268 | [
"MIT"
] | 8 | 2018-03-15T12:07:11.000Z | 2020-12-01T15:02:46.000Z | tasks-deploy/patched-python/check.py | HackerDom/qctf-starter-2018 | f4eef0fd41d777661b9fbcc61dcee9709d9f6268 | [
"MIT"
] | 17 | 2020-01-28T22:17:42.000Z | 2022-03-11T23:18:09.000Z | tasks-deploy/patched-python/check.py | HackerDom/qctf-starter-2018 | f4eef0fd41d777661b9fbcc61dcee9709d9f6268 | [
"MIT"
] | 2 | 2018-11-26T18:54:27.000Z | 2018-12-05T17:37:32.000Z | flags = ['QCTF{1379bae3fba0b9b5279f09d3f6191b98}', 'QCTF{789d8f8ccbbabc0931c867d14e550a77}', 'QCTF{cfec60d2c289a4d100a9c375697a3498}', 'QCTF{caf1209affb7e796868211e18021f434}', 'QCTF{d44770ff79bcdb4abfabbc1b4eb5c8df}', 'QCTF{d385a633a8b527f95d2efeb49fabfdc7}', 'QCTF{4e1e9a31a860c496f037f19a45805ccc}', 'QCTF{b12cc106e92... | 2,550 | 25,172 | 0.855451 |
7953d84948d39036b6961c0fed856a5f8a858400 | 180 | py | Python | array/sorted_array_squares.py | elenaborisova/LeetCode-Solutions | 98376aab7fd150a724e316357ae5ea46988d9eac | [
"MIT"
] | null | null | null | array/sorted_array_squares.py | elenaborisova/LeetCode-Solutions | 98376aab7fd150a724e316357ae5ea46988d9eac | [
"MIT"
] | null | null | null | array/sorted_array_squares.py | elenaborisova/LeetCode-Solutions | 98376aab7fd150a724e316357ae5ea46988d9eac | [
"MIT"
] | null | null | null | def sorted_squares(nums):
squares = [num ** 2 for num in nums]
return sorted(squares)
print(sorted_squares([-4, -1, 0, 3, 10]))
print(sorted_squares([-7, -3, 2, 3, 11]))
| 22.5 | 41 | 0.627778 |
7953d87d0c3f4d8a9f273f5aced368b3f4892d07 | 436 | py | Python | phdhelper/helpers/os_shortcuts.py | jmsplank/phdhelper | c06dd06669b42dbe4c9e1a6eeec3d0ad3885d2eb | [
"MIT"
] | null | null | null | phdhelper/helpers/os_shortcuts.py | jmsplank/phdhelper | c06dd06669b42dbe4c9e1a6eeec3d0ad3885d2eb | [
"MIT"
] | null | null | null | phdhelper/helpers/os_shortcuts.py | jmsplank/phdhelper | c06dd06669b42dbe4c9e1a6eeec3d0ad3885d2eb | [
"MIT"
] | null | null | null | import os
def get_path(file, level="."):
path = os.path.dirname(os.path.realpath(file))
levels = level.count(".")
if levels > 1:
for l in range(levels - 1):
path = "/".join(path.split("/")[:-1])
return path
def new_path(path, extension=""):
def f(filename):
# return p... | 22.947368 | 79 | 0.548165 |
7953d98bcbb826267fa21f6503e55049c8aff5ba | 118,515 | py | Python | python/paddle/fluid/framework.py | ShinanWu/Paddle | 0d276d38b456b7e77cd69903939edb63cc34f73c | [
"Apache-2.0"
] | null | null | null | python/paddle/fluid/framework.py | ShinanWu/Paddle | 0d276d38b456b7e77cd69903939edb63cc34f73c | [
"Apache-2.0"
] | null | null | null | python/paddle/fluid/framework.py | ShinanWu/Paddle | 0d276d38b456b7e77cd69903939edb63cc34f73c | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2018 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 app... | 33.403326 | 105 | 0.570873 |
7953da544c8b6874d3e06132ce1376c43e0b3d6d | 6,486 | py | Python | dali/test/python/test_operator_readers_index.py | Riyria-was-taken/DALI | 35360cf0986957f9c6d93ed54be221628d99ad0c | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | dali/test/python/test_operator_readers_index.py | Riyria-was-taken/DALI | 35360cf0986957f9c6d93ed54be221628d99ad0c | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | dali/test/python/test_operator_readers_index.py | Riyria-was-taken/DALI | 35360cf0986957f9c6d93ed54be221628d99ad0c | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # Copyright (c) 2021, NVIDIA CORPORATION. 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 applic... | 43.530201 | 124 | 0.660191 |
7953dabebfd901f3435d828c32297755a5df7147 | 3,994 | py | Python | lldb/packages/Python/lldbsuite/test/commands/watchpoints/watchpoint_set_command/TestWatchLocationWithWatchSet.py | azharudd/llvm-project | 2fe2a3f923125e4c86bc5d140f327b5904a5bc97 | [
"Apache-2.0"
] | 1 | 2022-03-28T05:58:03.000Z | 2022-03-28T05:58:03.000Z | lldb/packages/Python/lldbsuite/test/commands/watchpoints/watchpoint_set_command/TestWatchLocationWithWatchSet.py | DougGregor/llvm-project | 97602a8bd045f087e02348b64ffbdd143a33e10b | [
"Apache-2.0"
] | null | null | null | lldb/packages/Python/lldbsuite/test/commands/watchpoints/watchpoint_set_command/TestWatchLocationWithWatchSet.py | DougGregor/llvm-project | 97602a8bd045f087e02348b64ffbdd143a33e10b | [
"Apache-2.0"
] | null | null | null | """
Test lldb watchpoint that uses 'watchpoint set -w write -s size' to watch a pointed location with size.
"""
from __future__ import print_function
import lldb
from lldbsuite.test.decorators import *
from lldbsuite.test.lldbtest import *
from lldbsuite.test import lldbutil
class WatchLocationUsingWatchpointSetTe... | 38.403846 | 103 | 0.611167 |
7953db83938c77357a9c86dfe01eb506d3edd338 | 677 | py | Python | queuedownloader/services/youtube.py | RevolutionsDev/queuedownloader | cf93c26b82357ae02d452cb2a3396d27a9db8c42 | [
"MIT"
] | null | null | null | queuedownloader/services/youtube.py | RevolutionsDev/queuedownloader | cf93c26b82357ae02d452cb2a3396d27a9db8c42 | [
"MIT"
] | null | null | null | queuedownloader/services/youtube.py | RevolutionsDev/queuedownloader | cf93c26b82357ae02d452cb2a3396d27a9db8c42 | [
"MIT"
] | null | null | null | from ._base import DownloaderService
from youtube_dl import YoutubeDL
class YouTubeService(DownloaderService):
name = "YouTubeService"
def __init__(self, *args, **kwargs):
super(YouTubeService, self).__init__(*args, **kwargs)
self.subtitles = kwargs.get("subtitles", True)
... | 32.238095 | 94 | 0.604136 |
7953db8df50b416fd18c4267d002220eebae40cb | 14,697 | py | Python | nas_gcn/analysis/analysis_utils.py | deephyper/nas-gcn | 7faa66e9f4ec1f990a5ccdcfe0dd5255d4475b6f | [
"BSD-2-Clause"
] | null | null | null | nas_gcn/analysis/analysis_utils.py | deephyper/nas-gcn | 7faa66e9f4ec1f990a5ccdcfe0dd5255d4475b6f | [
"BSD-2-Clause"
] | null | null | null | nas_gcn/analysis/analysis_utils.py | deephyper/nas-gcn | 7faa66e9f4ec1f990a5ccdcfe0dd5255d4475b6f | [
"BSD-2-Clause"
] | null | null | null | import json
import pickle
import glob
import numpy as np
import pandas as pd
from tabulate import tabulate
from datetime import datetime
from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score
import matplotlib.pyplot as plt
from sklearn.ensemble import RandomForestRegressor
from sklearn.preproces... | 39.087766 | 118 | 0.578758 |
7953dc178fe088c3778dc1f32c2475638aa9371d | 3,341 | py | Python | Dashboard/account/migrations/0001_initial.py | Dheerajdoppalapudi/DashBoard-BackEnd | 67fdffcd8d2236cb7032588157f1f482bef1704c | [
"Apache-2.0"
] | null | null | null | Dashboard/account/migrations/0001_initial.py | Dheerajdoppalapudi/DashBoard-BackEnd | 67fdffcd8d2236cb7032588157f1f482bef1704c | [
"Apache-2.0"
] | 25 | 2022-01-07T09:04:19.000Z | 2022-02-27T17:51:16.000Z | Dashboard/account/migrations/0001_initial.py | Dheerajdoppalapudi/DashBoard-BackEnd | 67fdffcd8d2236cb7032588157f1f482bef1704c | [
"Apache-2.0"
] | 2 | 2022-01-07T09:11:18.000Z | 2022-01-11T06:07:17.000Z | # Generated by Django 3.2.8 on 2022-02-05 17:53
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
('auth', '0012_alter_user_first_name_max_length'),
]
operations = [
migrations.CreateModel(
name='User',
... | 41.7625 | 121 | 0.414247 |
7953dcdf5d329cbe2d8afb091e97c5e334913c2b | 6,242 | py | Python | tests/ci/fast_test_check.py | stdpain/ClickHouse | 7699d3f35e8d51d0c7bac39fc14469baeea928cd | [
"Apache-2.0"
] | null | null | null | tests/ci/fast_test_check.py | stdpain/ClickHouse | 7699d3f35e8d51d0c7bac39fc14469baeea928cd | [
"Apache-2.0"
] | null | null | null | tests/ci/fast_test_check.py | stdpain/ClickHouse | 7699d3f35e8d51d0c7bac39fc14469baeea928cd | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import logging
import subprocess
import os
import csv
import sys
from github import Github
from pr_info import PRInfo, get_event
from s3_helper import S3Helper
from get_robot_token import get_best_robot_token
from upload_result_helper import upload_results
from docker_pull_helper import get_ima... | 40.012821 | 160 | 0.714354 |
7953ddc681294c6458bf383284943581703fb418 | 610 | py | Python | jsngram/users/admin.py | jjh0106/jsngram | 74f2fd79ddd6a6975d3c981ca9cb5bbed050f532 | [
"MIT"
] | null | null | null | jsngram/users/admin.py | jjh0106/jsngram | 74f2fd79ddd6a6975d3c981ca9cb5bbed050f532 | [
"MIT"
] | 11 | 2020-06-05T20:06:56.000Z | 2022-02-17T20:23:22.000Z | jsngram/users/admin.py | jjh0106/jsngram | 74f2fd79ddd6a6975d3c981ca9cb5bbed050f532 | [
"MIT"
] | null | null | null | from django.contrib import admin
from django.contrib.auth import admin as auth_admin
from django.contrib.auth import get_user_model
from jsngram.users.forms import UserChangeForm, UserCreationForm
User = get_user_model()
@admin.register(User)
class UserAdmin(auth_admin.UserAdmin):
form = UserChangeForm
add... | 30.5 | 118 | 0.718033 |
7953de15d837ee9d94c324f5ebb4d147cc0bd346 | 122,627 | py | Python | numpy/lib/tests/test_function_base.py | bdvd/numpy | cea994fac86dbc5af7bee3f15fc5b475a99163fa | [
"BSD-3-Clause"
] | 1 | 2020-12-07T17:25:19.000Z | 2020-12-07T17:25:19.000Z | numpy/lib/tests/test_function_base.py | sahanabalappa/numpy | cea994fac86dbc5af7bee3f15fc5b475a99163fa | [
"BSD-3-Clause"
] | 20 | 2020-02-14T11:37:52.000Z | 2020-02-18T21:18:45.000Z | numpy/lib/tests/test_function_base.py | sahanabalappa/numpy | cea994fac86dbc5af7bee3f15fc5b475a99163fa | [
"BSD-3-Clause"
] | null | null | null | import operator
import warnings
import sys
import decimal
from fractions import Fraction
import pytest
import numpy as np
from numpy import ma
from numpy.testing import (
assert_, assert_equal, assert_array_equal, assert_almost_equal,
assert_array_almost_equal, assert_raises, assert_allclose, IS_PYPY,
asse... | 37.295316 | 102 | 0.523115 |
7953de221e02bf9fa1a466555a945a2263e32b34 | 8,965 | py | Python | suunto_exercise_data.py | Snijderfrey/suunto2python | 704bc046221d6809dc3bdd2118b34927a192600f | [
"MIT"
] | 7 | 2020-09-10T06:41:24.000Z | 2022-01-15T22:25:53.000Z | suunto_exercise_data.py | Snijderfrey/suunto2python | 704bc046221d6809dc3bdd2118b34927a192600f | [
"MIT"
] | null | null | null | suunto_exercise_data.py | Snijderfrey/suunto2python | 704bc046221d6809dc3bdd2118b34927a192600f | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import json
import zipfile
import glob
import numpy as np
import pandas as pd
from tqdm import tqdm
class exercise_data:
"""
Imports data recorded by a Suunto Ambit 3 Peak into a Pandas DataFrame.
Currently, the data is imported best from the zip file found... | 41.123853 | 93 | 0.565533 |
7953de8d729715e06067b76f035c0d56660d53cb | 2,125 | py | Python | contrib/runners/noop_runner/noop_runner/noop_runner.py | nickbaum/st2 | 21c01c7c8c0f511ee75e3b2a3a03502472281058 | [
"Apache-2.0"
] | 1 | 2020-11-09T21:05:33.000Z | 2020-11-09T21:05:33.000Z | contrib/runners/noop_runner/noop_runner/noop_runner.py | ellerbrock/st2 | b3a0d9f82053c1fd5adb616dc8331bad427cd11f | [
"Apache-2.0"
] | 3 | 2021-03-26T00:29:52.000Z | 2021-03-26T00:34:45.000Z | contrib/runners/noop_runner/noop_runner/noop_runner.py | ellerbrock/st2 | b3a0d9f82053c1fd5adb616dc8331bad427cd11f | [
"Apache-2.0"
] | null | null | null | # Licensed to the StackStorm, Inc ('StackStorm') 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 use th... | 30.797101 | 87 | 0.716235 |
7953de9ad5ee488b2fa6d14acdc5b5ba07fc7c1a | 4,772 | py | Python | src/offline_RL/dcql_roundabout.py | hougiebear/Deepdrive-Autonomous-Vehicles | 6b952c9e5d01893dc4319bbd74b9fa951719fcf9 | [
"MIT"
] | 1 | 2021-12-27T02:22:27.000Z | 2021-12-27T02:22:27.000Z | src/offline_RL/dcql_roundabout.py | hougiebear/Deepdrive-Autonomous-Vehicles | 6b952c9e5d01893dc4319bbd74b9fa951719fcf9 | [
"MIT"
] | null | null | null | src/offline_RL/dcql_roundabout.py | hougiebear/Deepdrive-Autonomous-Vehicles | 6b952c9e5d01893dc4319bbd74b9fa951719fcf9 | [
"MIT"
] | null | null | null | import gym
import highway_env
import numpy as np
import gym
from d3rlpy.algos import DQN
from d3rlpy.online.buffers import ReplayBuffer
from d3rlpy.online.explorers import LinearDecayEpsilonGreedy
import d3rlpy
from d3rlpy.wrappers.sb3 import to_mdp_dataset
import torch.nn as nn
import torch
from d3rlpy.algos import D... | 33.370629 | 100 | 0.654443 |
7953deafebb2b13f637d904391c56571e300e640 | 7,345 | py | Python | src/utils/train_utils.py | sniafas/photography-style-analysis | b5d828055cf40b127ac69e86af173a77bada3b32 | [
"Apache-2.0"
] | 3 | 2022-01-03T17:57:32.000Z | 2022-02-10T12:32:58.000Z | src/utils/train_utils.py | sniafas/photography-style-analysis | b5d828055cf40b127ac69e86af173a77bada3b32 | [
"Apache-2.0"
] | null | null | null | src/utils/train_utils.py | sniafas/photography-style-analysis | b5d828055cf40b127ac69e86af173a77bada3b32 | [
"Apache-2.0"
] | null | null | null | import json
import numpy as np
import pandas as pd
import tensorflow as tf
import importlib
import datetime
import tensorflow_addons as tfa
from tensorflow.keras.losses import CategoricalCrossentropy
from tensorflow.keras.metrics import CategoricalAccuracy, Mean, Precision, Recall, AUC
import matplotlib.pyplot as plt... | 29.38 | 86 | 0.661675 |
7953dfc6118a4604304384d8c4b0110cf6fb3d0b | 2,749 | py | Python | _build/jupyter_execute/Module3/quiz3.py | liuzhengqi1996/math452_Spring2022 | b01d1d9bee4778b3069e314c775a54f16dd44053 | [
"MIT"
] | null | null | null | _build/jupyter_execute/Module3/quiz3.py | liuzhengqi1996/math452_Spring2022 | b01d1d9bee4778b3069e314c775a54f16dd44053 | [
"MIT"
] | null | null | null | _build/jupyter_execute/Module3/quiz3.py | liuzhengqi1996/math452_Spring2022 | b01d1d9bee4778b3069e314c775a54f16dd44053 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# # Quiz 3
# For Penn State student, access quiz [here](https://psu.instructure.com/courses/2177217)
# In[1]:
import ipywidgets as widgets
# ## Question 1
# Is $f(x)=e^x$ a convex function?
# ```{dropdown} Show answer
# Answer: Yes
# ```
# ## Question 2
# Consider the uni... | 17.074534 | 137 | 0.582757 |
7953dfe73af24a3990b3c7bdab2e6a272012b368 | 6,208 | py | Python | training/cb_vae.py | aseembits93/avoiding-side-effects | f6cbe803749df93c07cdd0a8dbc68d18bb8c11b2 | [
"Apache-2.0"
] | 8 | 2020-11-22T15:34:35.000Z | 2022-02-24T10:05:32.000Z | training/cb_vae.py | neale/avoiding-side-effects | 72ebc8ce5d66c846780aa9e710ae56ff12bd23af | [
"Apache-2.0"
] | null | null | null | training/cb_vae.py | neale/avoiding-side-effects | 72ebc8ce5d66c846780aa9e710ae56ff12bd23af | [
"Apache-2.0"
] | 1 | 2022-02-24T10:05:47.000Z | 2022-02-24T10:05:47.000Z | ###############################################################################
# CB-VAE code adapted from https://github.com/Robert-Aduviri/Continuous-Bernoulli-VAE
###############################################################################
#MIT License
#Copyright (c) 2019 Robert Aduviri
#Permission is hereby... | 37.39759 | 108 | 0.617429 |
7953e077c12a5d8de475c3816a171cb9e69431d8 | 8,854 | py | Python | src/bio2bel_kegg/client.py | jmarinllao/kegg | 321a1a5157f66922d84e8f8dce11f105c6fd52a7 | [
"MIT"
] | null | null | null | src/bio2bel_kegg/client.py | jmarinllao/kegg | 321a1a5157f66922d84e8f8dce11f105c6fd52a7 | [
"MIT"
] | null | null | null | src/bio2bel_kegg/client.py | jmarinllao/kegg | 321a1a5157f66922d84e8f8dce11f105c6fd52a7 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""This module parsers the description files -> http://rest.kegg.jp/get/ in KEGG RESTful API."""
import itertools as itt
import logging
import os
from multiprocessing.pool import ThreadPool
from operator import itemgetter
from typing import Any, Collection, Iterable, List, Mapping, Optional, T... | 36.138776 | 109 | 0.563022 |
7953e1665e649283a433665f96f6d869a9e0211f | 5,214 | py | Python | tests/measurement/editors/test_sequence_editor.py | rassouly/exopy_pulses | bf71a3899c9b04434ee928ede08a21a0dd62f0a5 | [
"BSD-3-Clause"
] | null | null | null | tests/measurement/editors/test_sequence_editor.py | rassouly/exopy_pulses | bf71a3899c9b04434ee928ede08a21a0dd62f0a5 | [
"BSD-3-Clause"
] | null | null | null | tests/measurement/editors/test_sequence_editor.py | rassouly/exopy_pulses | bf71a3899c9b04434ee928ede08a21a0dd62f0a5 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# Copyright 2015-2018 by ExopyPulses Authors, see AUTHORS for more details.
#
# Distributed under the terms of the BSD license.
#
# The full license is in the file LICENCE, distributed with this software.
# ---------... | 32.792453 | 79 | 0.654392 |
7953e26750be7e9bc6b941552f7cfa1196d359bf | 3,044 | py | Python | stanCode_projects/anagram/anagram.py | lindcrj/stanCode_projects | 2ce2f7b51fb1e6940ab2b62b05edccfef66739b4 | [
"MIT"
] | null | null | null | stanCode_projects/anagram/anagram.py | lindcrj/stanCode_projects | 2ce2f7b51fb1e6940ab2b62b05edccfef66739b4 | [
"MIT"
] | null | null | null | stanCode_projects/anagram/anagram.py | lindcrj/stanCode_projects | 2ce2f7b51fb1e6940ab2b62b05edccfef66739b4 | [
"MIT"
] | null | null | null | """
File: anagram.py
Name:
----------------------------------
This program recursively finds all the anagram(s)
for the word input by user and terminates when the
input string matches the EXIT constant defined
at line 19
If you correctly implement this program, you should see the
number of anagrams for each word liste... | 24.747967 | 93 | 0.486859 |
7953e2c043c82a67cfdc084b9a81de2bc3b5121b | 10,019 | py | Python | FacebookPostsScraper.py | hackingbutlegal/FacebookPostsScraper | aa873eb97f7b1ad00ca0dbb4da1d63f38bcbbdb9 | [
"MIT"
] | 73 | 2020-05-14T04:12:06.000Z | 2021-09-02T14:36:20.000Z | FacebookPostsScraper.py | hackingbutlegal/FacebookPostsScraper | aa873eb97f7b1ad00ca0dbb4da1d63f38bcbbdb9 | [
"MIT"
] | 20 | 2020-06-08T10:19:18.000Z | 2021-04-29T21:22:27.000Z | FacebookPostsScraper.py | hackingbutlegal/FacebookPostsScraper | aa873eb97f7b1ad00ca0dbb4da1d63f38bcbbdb9 | [
"MIT"
] | 40 | 2020-05-14T04:11:56.000Z | 2021-08-21T04:32:35.000Z | import requests
from bs4 import BeautifulSoup
import pickle
import os
from urllib.parse import urlparse, unquote
from urllib.parse import parse_qs
import pandas as pd
import json
class FacebookPostsScraper:
# We need the email and password to access Facebook, and optionally the text in the Url that identifies th... | 40.236948 | 151 | 0.566524 |
7953e2dc552b67874fc880f5bf9399057ead3146 | 6,270 | py | Python | sgespawner/spawner.py | willfurnass/sgespawner | b294c6194c511bdbc870e13c377ffb3233e3f406 | [
"BSD-2-Clause"
] | 1 | 2019-04-24T14:35:02.000Z | 2019-04-24T14:35:02.000Z | sgespawner/spawner.py | willfurnass/sgespawner | b294c6194c511bdbc870e13c377ffb3233e3f406 | [
"BSD-2-Clause"
] | 7 | 2017-05-08T14:12:36.000Z | 2020-01-14T16:36:07.000Z | sgespawner/spawner.py | willfurnass/sgespawner | b294c6194c511bdbc870e13c377ffb3233e3f406 | [
"BSD-2-Clause"
] | null | null | null | from subprocess import Popen, PIPE, STDOUT, run
import jinja2
from defusedxml import ElementTree as ET
from jupyterhub.utils import random_port
from jupyterhub.spawner import Spawner
from tornado import gen
from traitlets import List, Unicode
__all__ = ['SGESpawner']
class SGESpawner(Spawner):
sge_template = ... | 34.450549 | 84 | 0.572249 |
7953e33b03cf8d39cf9a5ab477477544cb178be4 | 12,160 | py | Python | qa/complete_moderated_with_timeout.py | anchaj/openbazaar-go | ce88cba2f1ee2edec356f908cc4acbbf28c9a3de | [
"MIT"
] | 2 | 2019-08-04T01:15:39.000Z | 2019-10-30T23:08:37.000Z | qa/complete_moderated_with_timeout.py | anchaj/openbazaar-go | ce88cba2f1ee2edec356f908cc4acbbf28c9a3de | [
"MIT"
] | 24 | 2017-12-08T22:34:36.000Z | 2019-08-16T14:29:57.000Z | qa/complete_moderated_with_timeout.py | anchaj/openbazaar-go | ce88cba2f1ee2edec356f908cc4acbbf28c9a3de | [
"MIT"
] | 12 | 2017-12-07T05:41:55.000Z | 2018-12-18T12:00:26.000Z | import requests
import json
import time
from collections import OrderedDict
from test_framework.test_framework import OpenBazaarTestFramework, TestFailure
class CompleteModeratedWithTimeout(OpenBazaarTestFramework):
def __init__(self):
super().__init__()
self.num_nodes = 4
def run_test(self)... | 48.253968 | 121 | 0.639967 |
7953e4f271e97bda7fd65bd269537afd0d10ab45 | 726 | py | Python | code/obtuse_angled_triangles/sol_210.py | bhavinjawade/project-euler-solutions | 56bf6a282730ed4b9b875fa081cf4509d9939d98 | [
"Apache-2.0"
] | 2 | 2020-07-16T08:16:32.000Z | 2020-10-01T07:16:48.000Z | code/obtuse_angled_triangles/sol_210.py | Psingh12354/project-euler-solutions | 56bf6a282730ed4b9b875fa081cf4509d9939d98 | [
"Apache-2.0"
] | null | null | null | code/obtuse_angled_triangles/sol_210.py | Psingh12354/project-euler-solutions | 56bf6a282730ed4b9b875fa081cf4509d9939d98 | [
"Apache-2.0"
] | 1 | 2021-05-07T18:06:08.000Z | 2021-05-07T18:06:08.000Z |
# -*- coding: utf-8 -*-
'''
File name: code\obtuse_angled_triangles\sol_210.py
Author: Vaidic Joshi
Date created: Oct 20, 2018
Python Version: 3.x
'''
# Solution to Project Euler Problem #210 :: Obtuse Angled Triangles
#
# For more information see:
# https://projecteuler.net/problem=210
# Problem St... | 24.2 | 136 | 0.663912 |
7953e624e2d9ef81b41d2faeb390839cecb77735 | 3,280 | py | Python | src/AoC_2016/d16_dragon_checksum/dragon_checksum.py | derailed-dash/Advent-of-Code | 12378baf33ef4a59958e84eb60e795b6530c22ba | [
"MIT"
] | 9 | 2021-12-31T20:13:03.000Z | 2022-03-05T07:05:06.000Z | src/AoC_2016/d16_dragon_checksum/dragon_checksum.py | derailed-dash/Advent-of-Code | 12378baf33ef4a59958e84eb60e795b6530c22ba | [
"MIT"
] | 1 | 2022-01-25T08:35:04.000Z | 2022-01-29T00:07:00.000Z | src/AoC_2016/d16_dragon_checksum/dragon_checksum.py | derailed-dash/Advent-of-Code | 12378baf33ef4a59958e84eb60e795b6530c22ba | [
"MIT"
] | null | null | null | """
Author: Darren
Date: 07/08/2021
Solving https://adventofcode.com/2016/day/16
Part 1:
So trivial, doesn't really require explaining.
Part 2:
Same as part 1, but with a much longer target. No changes required.
"""
import logging
import os
import time
SCRIPT_DIR = os.path.dirname(__file__)
INPUT_FILE... | 32.8 | 113 | 0.664939 |
7953e632472f52f8038aef97305b6c4d9b0596c1 | 4,701 | py | Python | ontask/settings.py | LucasFranciscoCorreia/ontask_b | 5473e9faa24c71a2a1102d47ebc2cbf27608e42a | [
"MIT"
] | null | null | null | ontask/settings.py | LucasFranciscoCorreia/ontask_b | 5473e9faa24c71a2a1102d47ebc2cbf27608e42a | [
"MIT"
] | null | null | null | ontask/settings.py | LucasFranciscoCorreia/ontask_b | 5473e9faa24c71a2a1102d47ebc2cbf27608e42a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Action configuration options."""
import os
import sys
from django.conf import settings
from django.db import models
from django.utils.translation import ugettext_lazy as _
############
#
# NOTIFICATION EMAILS
#
############
NOTIFICATION_TEMPLATE = getattr(
settings,
'EMAIL_ACTION_... | 27.982143 | 79 | 0.549458 |
7953e7b0a79fdeb43241ffa0ff1fe16376b25f8e | 4,062 | py | Python | digits/download_data/mnist.py | ojmakhura/DIGITS | f34e62c245054b51ea51fcb8949d2ca777f162d1 | [
"BSD-3-Clause"
] | null | null | null | digits/download_data/mnist.py | ojmakhura/DIGITS | f34e62c245054b51ea51fcb8949d2ca777f162d1 | [
"BSD-3-Clause"
] | null | null | null | digits/download_data/mnist.py | ojmakhura/DIGITS | f34e62c245054b51ea51fcb8949d2ca777f162d1 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2015-2017, NVIDIA CORPORATION. All rights reserved.
import gzip
import os
import struct
import numpy as np
import PIL.Image
from .downloader import DataDownloader
class MnistDownloader(DataDownloader):
"""
See details about the MNIST dataset here:
http://yann.lecun.com/exdb/mnist/
... | 40.217822 | 92 | 0.573363 |
7953e831915c6628cb019c3adbc19ade324a7de9 | 1,247 | py | Python | 100-200q/116.py | rampup01/Leetcode | 8450a95a966ef83b24ffe6450f06ce8de92b3efb | [
"MIT"
] | 990 | 2018-06-05T11:49:22.000Z | 2022-03-31T08:59:17.000Z | 100-200q/116.py | rampup01/Leetcode | 8450a95a966ef83b24ffe6450f06ce8de92b3efb | [
"MIT"
] | 1 | 2021-11-01T01:29:38.000Z | 2021-11-01T01:29:38.000Z | 100-200q/116.py | rampup01/Leetcode | 8450a95a966ef83b24ffe6450f06ce8de92b3efb | [
"MIT"
] | 482 | 2018-06-12T22:16:53.000Z | 2022-03-29T00:23:29.000Z | '''
Given a binary tree
struct TreeLinkNode {
TreeLinkNode *left;
TreeLinkNode *right;
TreeLinkNode *next;
}
Populate each next pointer to point to its next right node. If there is no next right node, the next pointer should be set to NULL.
Initially, all next pointers are set to NULL
Example:
Given ... | 21.5 | 132 | 0.575782 |
7953eacf220d07c08b680d83faf5dbad33525914 | 15,567 | py | Python | jobs/signing/sign-rhacs/umb_producer.py | brenton/aos-cd-jobs | 34e427bb7091c52791bc93a34f062e57dc005082 | [
"Apache-2.0"
] | null | null | null | jobs/signing/sign-rhacs/umb_producer.py | brenton/aos-cd-jobs | 34e427bb7091c52791bc93a34f062e57dc005082 | [
"Apache-2.0"
] | null | null | null | jobs/signing/sign-rhacs/umb_producer.py | brenton/aos-cd-jobs | 34e427bb7091c52791bc93a34f062e57dc005082 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python2
import base64
import json
import logging
import ssl
import subprocess
import sys
import threading
import click
import requests
from rhmsg.activemq.producer import AMQProducer
from rhmsg.activemq.consumer import AMQConsumer
# Expose errors during signing for debugging
logging.basicConfig(stream... | 37.783981 | 144 | 0.638081 |
7953eba9ff2847006316ca6e24ffcaec01e2f39c | 304 | py | Python | LeetCode/5413.py | LauZyHou/- | 66c047fe68409c73a077eae561cf82b081cf8e45 | [
"MIT"
] | 7 | 2019-02-25T13:15:00.000Z | 2021-12-21T22:08:39.000Z | LeetCode/5413.py | LauZyHou/- | 66c047fe68409c73a077eae561cf82b081cf8e45 | [
"MIT"
] | null | null | null | LeetCode/5413.py | LauZyHou/- | 66c047fe68409c73a077eae561cf82b081cf8e45 | [
"MIT"
] | 1 | 2019-04-03T06:12:46.000Z | 2019-04-03T06:12:46.000Z | class Solution:
def arrangeWords(self, text: str) -> str:
mylist = text.split(" ")
mylist = [s.lower() for s in mylist]
mylist.sort(key=lambda x: len(x))
if len(mylist) > 0:
mylist[0] = mylist[0][0:1].upper() + mylist[0][1:]
return " ".join(mylist) | 38 | 62 | 0.532895 |
7953ec77cf0e443c5b960fbcbd7c423b76044121 | 5,492 | py | Python | src/spaceone/inventory/manager/compute_engine/snapshot_manager.py | spaceone-dev/plugin-google-cloud-inven-collector | 3e103412e7598ee9fa5f68b6241a831a40e8b9bc | [
"Apache-2.0"
] | null | null | null | src/spaceone/inventory/manager/compute_engine/snapshot_manager.py | spaceone-dev/plugin-google-cloud-inven-collector | 3e103412e7598ee9fa5f68b6241a831a40e8b9bc | [
"Apache-2.0"
] | null | null | null | src/spaceone/inventory/manager/compute_engine/snapshot_manager.py | spaceone-dev/plugin-google-cloud-inven-collector | 3e103412e7598ee9fa5f68b6241a831a40e8b9bc | [
"Apache-2.0"
] | null | null | null | import time
import logging
from spaceone.inventory.libs.manager import GoogleCloudManager
from spaceone.inventory.libs.schema.base import ReferenceModel
from spaceone.inventory.connector.compute_engine.snapshot import SnapshotConnector
from spaceone.inventory.model.compute_engine.snapshot.cloud_service_type import CLO... | 41.293233 | 115 | 0.542972 |
7953ec810c743dd0e829667eec9582346bf5426c | 2,555 | py | Python | tests/test_minimal_tests.py | cmadjar/conp-dataset | d67eec79978f3f050245bba2aff8a1b514a87263 | [
"MIT"
] | null | null | null | tests/test_minimal_tests.py | cmadjar/conp-dataset | d67eec79978f3f050245bba2aff8a1b514a87263 | [
"MIT"
] | null | null | null | tests/test_minimal_tests.py | cmadjar/conp-dataset | d67eec79978f3f050245bba2aff8a1b514a87263 | [
"MIT"
] | null | null | null | """Test the minimalTest function in create_tests.py.
This function should return the minimal set of test to execute.
"""
import git
import pytest
from tests.create_tests import minimal_tests
@pytest.fixture(autouse=True)
def retrieve_submodule():
"""Fixture to get all the CONP datasets before a test."""
pyt... | 29.367816 | 88 | 0.6818 |
7953ec8c3a17be15ad3bd7ee9d46dd6127805815 | 12,170 | py | Python | HW2/HW2.py | masher1/SocialMediaMining | 615205159f363bffd8d6cd8fd32afd65cdfe4332 | [
"MIT"
] | null | null | null | HW2/HW2.py | masher1/SocialMediaMining | 615205159f363bffd8d6cd8fd32afd65cdfe4332 | [
"MIT"
] | null | null | null | HW2/HW2.py | masher1/SocialMediaMining | 615205159f363bffd8d6cd8fd32afd65cdfe4332 | [
"MIT"
] | null | null | null | import twitter
import json
import networkx
import matplotlib
import sys
import numpy
import sys
import time
from functools import partial
from sys import maxsize as maxint
from urllib.error import URLError
from http.client import BadStatusLine
import matplotlib.pyplot as plt
import Chapter_9Twitter_Cookbook
def oauth_... | 38.881789 | 158 | 0.598932 |
7953ed0718046b60e614848b3ce90929362265e1 | 4,584 | py | Python | sympy/register.py | DanielMabadeje/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials | 7adab3877fc1d3f1d5f57e6c1743dae8f76f72c5 | [
"Apache-2.0"
] | 3,266 | 2017-08-06T16:51:46.000Z | 2022-03-30T07:34:24.000Z | sympy/register.py | nuhaltinsoy/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials | 6017441f2d476f9c6c568dd886da43c6c0fd89bd | [
"Apache-2.0"
] | 150 | 2017-08-28T14:59:36.000Z | 2022-03-11T23:21:35.000Z | sympy/register.py | nuhaltinsoy/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials | 6017441f2d476f9c6c568dd886da43c6c0fd89bd | [
"Apache-2.0"
] | 1,449 | 2017-08-06T17:40:59.000Z | 2022-03-31T12:03:24.000Z | import numpy as np
import numpy.random as random
import matplotlib.pyplot as plt
class QuantumRegister(object):
def __init__(self, n_qubits):
self.n_qubits = n_qubits
self.n_states = 2 ** n_qubits
self.qubits = np.zeros(self.n_states, dtype=complex)
self.qubits[0] = 1.0
def re... | 33.705882 | 105 | 0.545593 |
7953ee0cccff774b4f0669338f833bf483067f87 | 2,043 | py | Python | src/main.py | isaacrivriv/ChemLAB-PL | 3ddb586ca95cdfceba8c1637ce3615767f1c47cf | [
"MIT"
] | 1 | 2020-04-07T23:06:54.000Z | 2020-04-07T23:06:54.000Z | src/main.py | isaacrivriv/ChemLAB-PL | 3ddb586ca95cdfceba8c1637ce3615767f1c47cf | [
"MIT"
] | 8 | 2020-04-12T17:32:48.000Z | 2020-05-07T03:46:46.000Z | src/main.py | isaacrivriv/ChemLAB-PL | 3ddb586ca95cdfceba8c1637ce3615767f1c47cf | [
"MIT"
] | 2 | 2020-04-07T23:07:30.000Z | 2020-07-14T17:03:31.000Z | import chem_lex.ChemlabLexer as Lexer
import chem_parse.ChemlabParser as Parser
import sys
def main():
# If no file name passed when running we open the ChemLAB command line, if not we try to parse the file passed
try:
# Check if something was passed. If not, we open command line theme
trace =... | 34.05 | 114 | 0.487029 |
7953ee54489d1166a8bd30a6180493bfbf86657f | 28,625 | py | Python | nli_02_models_trials1.py | abgoswam/cs224u | 33e1a22d1c9586b473f43b388163a74264e9258a | [
"Apache-2.0"
] | null | null | null | nli_02_models_trials1.py | abgoswam/cs224u | 33e1a22d1c9586b473f43b388163a74264e9258a | [
"Apache-2.0"
] | null | null | null | nli_02_models_trials1.py | abgoswam/cs224u | 33e1a22d1c9586b473f43b388163a74264e9258a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# # Natural language inference: models
# In[1]:
__author__ = "Christopher Potts"
__version__ = "CS224u, Stanford, Spring 2020"
# ## Contents
#
# 1. [Contents](#Contents)
# 1. [Overview](#Overview)
# 1. [Set-up](#Set-up)
# 1. [Sparse feature representations](#Sparse-feature-r... | 38.268717 | 743 | 0.712559 |
7953f0476f3f39b6e57c98b9f7e440474868521d | 774 | py | Python | examples/cloudobject.py | gerardparis/pywren-ibm-cloud | ca69bed54f5bd5157bcda961b86dbfcfecf3c54a | [
"Apache-2.0"
] | null | null | null | examples/cloudobject.py | gerardparis/pywren-ibm-cloud | ca69bed54f5bd5157bcda961b86dbfcfecf3c54a | [
"Apache-2.0"
] | null | null | null | examples/cloudobject.py | gerardparis/pywren-ibm-cloud | ca69bed54f5bd5157bcda961b86dbfcfecf3c54a | [
"Apache-2.0"
] | null | null | null | """
Simple PyWren example using cloudobjects to transparently pass
objects stored in the storage backend between functions without
knowing they exact location (bucket, key)
"""
import pywren_ibm_cloud as pywren
def my_function_put(text, internal_storage):
co1 = internal_storage.put_object('Temp object test 1: {}'... | 28.666667 | 78 | 0.732558 |
7953f0deb4bfbf859be4a0992be763073681869a | 397 | py | Python | bin/cakechat_server.py | sketscripter/emotional-chatbot-cakechat | 470df58a2206a0ea38b6bed53b20cbc63bd3de24 | [
"Apache-2.0"
] | 1,608 | 2018-01-31T15:22:29.000Z | 2022-03-30T19:59:16.000Z | bin/cakechat_server.py | GaelicThunder/cakechat | 844507281b30d81b3fe3674895fe27826dba8438 | [
"Apache-2.0"
] | 60 | 2018-02-01T11:45:51.000Z | 2019-11-13T10:35:59.000Z | bin/cakechat_server.py | GaelicThunder/cakechat | 844507281b30d81b3fe3674895fe27826dba8438 | [
"Apache-2.0"
] | 690 | 2018-01-31T17:57:19.000Z | 2022-03-30T07:07:41.000Z | import os
import sys
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from cakechat.utils.env import set_keras_tf_session
gpu_memory_fraction = os.environ.get('GPU_MEMORY_FRACTION', 0.1)
set_keras_tf_session(gpu_memory_fraction)
from cakechat.api.v1.server import app
if __name__ == '__m... | 24.8125 | 76 | 0.7733 |
7953f0fe616255ca5f2f84a88997834a94d16a25 | 17,958 | py | Python | tetris.py | ForceOverArea/tetrabot-code | 56bfae9cea347016f65077bb5e5942c8e64ca85d | [
"MIT"
] | null | null | null | tetris.py | ForceOverArea/tetrabot-code | 56bfae9cea347016f65077bb5e5942c8e64ca85d | [
"MIT"
] | 2 | 2020-12-01T22:36:48.000Z | 2021-06-05T21:44:56.000Z | tetris.py | ForceOverArea/tetrabot-code | 56bfae9cea347016f65077bb5e5942c8e64ca85d | [
"MIT"
] | null | null | null | import copy, random
"""
This library is a 'toolbox' for building a tetris game elsewhere
- This library intended for use with Discord.py/Discord API
"""
def default():
# This function can be copied and modified to
# provide different skins for the game
"""
Returns a dict of the default d... | 33.503731 | 159 | 0.447489 |
7953f110dc7f2fc36ffd1f5ce007c29f207b8bc9 | 288 | py | Python | OPTIMIZED_CLEAN.py | CaptainVietnam6/GoPro-output-cleaner | fbffc8ff91d2cc9845c2aab1c41a0e0f9c6ac6d4 | [
"MIT"
] | null | null | null | OPTIMIZED_CLEAN.py | CaptainVietnam6/GoPro-output-cleaner | fbffc8ff91d2cc9845c2aab1c41a0e0f9c6ac6d4 | [
"MIT"
] | null | null | null | OPTIMIZED_CLEAN.py | CaptainVietnam6/GoPro-output-cleaner | fbffc8ff91d2cc9845c2aab1c41a0e0f9c6ac6d4 | [
"MIT"
] | null | null | null | import os
n=0
d=f"./GoPro{n}.mp4"
l=(".WAV",".THM",".LRV")
while True:
if os.path.exists(d)==True:
n+=1
else:
break
for f in os.listdir("./"):
if f.endswith(".MP4"):
os.rename(f,f"GoPro{n}.mp4")
n+=1
elif f.endswith(l):
os.remove(f) | 19.2 | 36 | 0.496528 |
7953f20364fdede96cd3eadcf6253d9aa42d82b8 | 897 | py | Python | python-packages/nolearn-0.5/build/lib.linux-x86_64-2.7/nolearn/tests/test_inischema.py | rajegannathan/grasp-lift-eeg-cat-dog-solution-updated | ee45bee6f96cdb6d91184abc16f41bba1546c943 | [
"BSD-3-Clause"
] | 2 | 2017-08-13T14:09:32.000Z | 2018-07-16T23:39:00.000Z | python-packages/nolearn-0.5/build/lib.linux-x86_64-2.7/nolearn/tests/test_inischema.py | rajegannathan/grasp-lift-eeg-cat-dog-solution-updated | ee45bee6f96cdb6d91184abc16f41bba1546c943 | [
"BSD-3-Clause"
] | null | null | null | python-packages/nolearn-0.5/build/lib.linux-x86_64-2.7/nolearn/tests/test_inischema.py | rajegannathan/grasp-lift-eeg-cat-dog-solution-updated | ee45bee6f96cdb6d91184abc16f41bba1546c943 | [
"BSD-3-Clause"
] | 2 | 2018-04-02T06:45:11.000Z | 2018-07-16T23:39:02.000Z | SAMPLE_SCHEMA = """
[first]
value1 = int
value2 = string
value3 = float
value4 = listofstrings
value5 = listofints
[second]
value1 = string
value2 = int
"""
SAMPLE_CONFIGURATION = """
[first]
value1 = 3
value2 = Three
value3 = 3.0
value4 = Three Drei
value5 = 3 3
[second]
value1 =
a few line breaks
are no p... | 20.860465 | 74 | 0.656633 |
7953f3163af7bc874692f51aa8af9824cf787989 | 13,356 | py | Python | tenable/io/users.py | Rogdham/pyTenable | 79f3f7360f8ef31b964f1db99d0c7b8a0bc25d7a | [
"MIT"
] | 1 | 2022-03-01T17:17:19.000Z | 2022-03-01T17:17:19.000Z | tenable/io/users.py | Rogdham/pyTenable | 79f3f7360f8ef31b964f1db99d0c7b8a0bc25d7a | [
"MIT"
] | 25 | 2021-11-16T18:41:36.000Z | 2022-03-25T05:43:31.000Z | tenable/io/users.py | Rogdham/pyTenable | 79f3f7360f8ef31b964f1db99d0c7b8a0bc25d7a | [
"MIT"
] | 2 | 2022-03-02T12:24:40.000Z | 2022-03-29T05:12:04.000Z | '''
Users
=====
The following methods allow for interaction into the Tenable.io
:devportal:`users <users>` API endpoints.
Methods available on ``tio.users``:
.. rst-class:: hide-signature
.. autoclass:: UsersAPI
:members:
'''
from tenable.utils import dict_merge
from tenable.io.base import TIOEndpoint
class Use... | 33.557789 | 100 | 0.562519 |
7953f35b3d1500c435877da74fb97a6a734f8bf2 | 1,187 | py | Python | Creacion-de-un-experimento-en-Azure-Machine-Learning-Studio/test.py | josephLSalgado/IA-Innovaccion | 67650ab1f27099859afaa704546d0eee64a71fac | [
"MIT"
] | null | null | null | Creacion-de-un-experimento-en-Azure-Machine-Learning-Studio/test.py | josephLSalgado/IA-Innovaccion | 67650ab1f27099859afaa704546d0eee64a71fac | [
"MIT"
] | null | null | null | Creacion-de-un-experimento-en-Azure-Machine-Learning-Studio/test.py | josephLSalgado/IA-Innovaccion | 67650ab1f27099859afaa704546d0eee64a71fac | [
"MIT"
] | null | null | null | import urllib
import urllib.request
import json
data = {
"Inputs": {
"input1":
{
"ColumnNames": ["WallArea", "RoofArea", "OverallHeight", "GlazingArea", "HeatingLoad"],
"Values": [ [ "296", "110.25", "7", "0", "15.55" ], [ "400", "93.2... | 32.081081 | 174 | 0.610783 |
7953f3fb045972e2ab2eddbe79a450e587288f8a | 192 | py | Python | bin/cubes/non-convex-pentacubes-diagonal-wall.py | tiwo/puzzler | 7ad3d9a792f0635f7ec59ffa85fb46b54fd77a7e | [
"Intel"
] | null | null | null | bin/cubes/non-convex-pentacubes-diagonal-wall.py | tiwo/puzzler | 7ad3d9a792f0635f7ec59ffa85fb46b54fd77a7e | [
"Intel"
] | null | null | null | bin/cubes/non-convex-pentacubes-diagonal-wall.py | tiwo/puzzler | 7ad3d9a792f0635f7ec59ffa85fb46b54fd77a7e | [
"Intel"
] | 1 | 2022-01-02T16:54:14.000Z | 2022-01-02T16:54:14.000Z | #!/usr/bin/env python
# $Id$
"""many solutions"""
import puzzler.puzzles
from puzzler.puzzles.pentacubes import NonConvexPentacubesDiagonalWall
puzzler.run(NonConvexPentacubesDiagonalWall)
| 19.2 | 70 | 0.8125 |
7953f409bacbee1865666a71b44024d600ad0fba | 1,676 | py | Python | src/networks.py | jlebensold/flrl-ddpg | d91e9f4aedf48d0614e33bd22c7f684ecda089b1 | [
"MIT"
] | 1 | 2021-05-11T06:28:01.000Z | 2021-05-11T06:28:01.000Z | src/networks.py | jlebensold/flrl-ddpg | d91e9f4aedf48d0614e33bd22c7f684ecda089b1 | [
"MIT"
] | null | null | null | src/networks.py | jlebensold/flrl-ddpg | d91e9f4aedf48d0614e33bd22c7f684ecda089b1 | [
"MIT"
] | 1 | 2021-03-07T06:33:17.000Z | 2021-03-07T06:33:17.000Z | import random
import gym
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
from torch.distributions import Normal
from collections import ChainMap
class ValueNetwork(nn.Module):
def __init__(self, num_inputs, num_actions, hidden_size, init_w=3e-3)... | 29.403509 | 74 | 0.664081 |
7953f43a2d724a0df9c7ea3aeca8677a64adee20 | 2,364 | py | Python | examples/self_distribution_distillation/self_distribution_distillation_src/uncertainty/categorical.py | yassirf/sequence-training | a7cd7a9bb2f4f1d76c4f62a62704e396ad029540 | [
"MIT"
] | null | null | null | examples/self_distribution_distillation/self_distribution_distillation_src/uncertainty/categorical.py | yassirf/sequence-training | a7cd7a9bb2f4f1d76c4f62a62704e396ad029540 | [
"MIT"
] | null | null | null | examples/self_distribution_distillation/self_distribution_distillation_src/uncertainty/categorical.py | yassirf/sequence-training | a7cd7a9bb2f4f1d76c4f62a62704e396ad029540 | [
"MIT"
] | null | null | null | import numpy as np
import torch
from .estimators import EnsembleCategoricals
from .misc import process_outputs
def compute_token_uncertainties(args, outputs, extra):
"""
Function which computes token-level measures of uncertainty for Categorical model.
:param args: specifies uncertainty estimation parame... | 39.4 | 104 | 0.730118 |
7953f596ae99c9a63c9df6e5724925b0a154ff89 | 3,499 | py | Python | scripts/utils/travelled_dist.py | tpet/rpz_planning | cf52732bfac8aef7d1ba9da20e3930671e142b80 | [
"BSD-3-Clause"
] | null | null | null | scripts/utils/travelled_dist.py | tpet/rpz_planning | cf52732bfac8aef7d1ba9da20e3930671e142b80 | [
"BSD-3-Clause"
] | null | null | null | scripts/utils/travelled_dist.py | tpet/rpz_planning | cf52732bfac8aef7d1ba9da20e3930671e142b80 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
import rospy
from std_msgs.msg import Float64
from nav_msgs.msg import Path
from geometry_msgs.msg import PoseStamped
import numpy as np
from ros_numpy import msgify, numpify
import tf2_ros
class TravelledDistPub:
"""
This ROS node publishes ground truth travelled distance and route.
... | 39.314607 | 107 | 0.592741 |
7953f6b7489acf345c8141ee58005c051f60c80b | 5,542 | py | Python | examples/multi_physics/biot_npbc.py | clazaro/sfepy | 78757a6989d6aaf85a3fb27957b9179c5e2aa2c7 | [
"BSD-3-Clause"
] | 510 | 2015-01-19T16:22:25.000Z | 2022-03-30T19:02:51.000Z | examples/multi_physics/biot_npbc.py | clazaro/sfepy | 78757a6989d6aaf85a3fb27957b9179c5e2aa2c7 | [
"BSD-3-Clause"
] | 402 | 2015-01-22T10:57:50.000Z | 2022-03-30T15:19:23.000Z | examples/multi_physics/biot_npbc.py | clazaro/sfepy | 78757a6989d6aaf85a3fb27957b9179c5e2aa2c7 | [
"BSD-3-Clause"
] | 156 | 2015-01-05T14:23:38.000Z | 2022-03-22T13:08:30.000Z | r"""
Biot problem - deformable porous medium with the no-penetration boundary
condition on a boundary region.
Find :math:`\ul{u}`, :math:`p` such that:
.. math::
\int_{\Omega} D_{ijkl}\ e_{ij}(\ul{v}) e_{kl}(\ul{u})
- \int_{\Omega} p\ \alpha_{ij} e_{ij}(\ul{v})
= 0
\;, \quad \forall \ul{v} \;,
\... | 27.71 | 80 | 0.496211 |
7953f6bb99158441109893b302a3c7d1f1a3ca52 | 1,686 | py | Python | sparkql/accessors.py | radeklat/sparkql | 57d55c7599460f2e7e5957c037d7c25cedb92647 | [
"MIT"
] | null | null | null | sparkql/accessors.py | radeklat/sparkql | 57d55c7599460f2e7e5957c037d7c25cedb92647 | [
"MIT"
] | null | null | null | sparkql/accessors.py | radeklat/sparkql | 57d55c7599460f2e7e5957c037d7c25cedb92647 | [
"MIT"
] | null | null | null | """Accessor functions in order to access field paths, field names, and related field attributes."""
# pylint: disable=protected-access
from typing import Sequence
from pyspark.sql import Column
from pyspark.sql import functions as sql_funcs
from pyspark.sql.types import StructField
from sparkql.fields.base import B... | 31.222222 | 115 | 0.697509 |
7953f7bbfd1f41ed9738ffec1e04dd2d56131960 | 4,118 | py | Python | release/sign-launcher.py | sambacha/repo | e4d8f5a2f332854acb140b22f1b96fd06c42b66e | [
"Apache-2.0"
] | 1 | 2021-12-11T01:57:58.000Z | 2021-12-11T01:57:58.000Z | release/sign-launcher.py | sambacha/repo | e4d8f5a2f332854acb140b22f1b96fd06c42b66e | [
"Apache-2.0"
] | null | null | null | release/sign-launcher.py | sambacha/repo | e4d8f5a2f332854acb140b22f1b96fd06c42b66e | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# Copyright (C) 2020 The Android Open Source Project
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requ... | 28.597222 | 88 | 0.616561 |
7953f9d21dbd0d6b5eeeb0ced4c7d078a81ced37 | 773 | py | Python | setup.py | vdltech/napalm-ruckus-fastiron | 4f49ff5dbceefef2336951236e043ae6c7ea38d5 | [
"Apache-2.0"
] | null | null | null | setup.py | vdltech/napalm-ruckus-fastiron | 4f49ff5dbceefef2336951236e043ae6c7ea38d5 | [
"Apache-2.0"
] | null | null | null | setup.py | vdltech/napalm-ruckus-fastiron | 4f49ff5dbceefef2336951236e043ae6c7ea38d5 | [
"Apache-2.0"
] | null | null | null | """setup.py file."""
from setuptools import find_packages, setup
__author__ = 'Johan van den Dorpe'
with open("requirements.txt", "r") as fs:
reqs = [r for r in fs.read().splitlines()]
setup(
name="napalm-brocade-fastiron",
version="0.11",
packages=find_packages(),
author="Johan van den Dorpe",
... | 29.730769 | 100 | 0.65718 |
7953fae78c2a926fe227be8a6f7620531224614d | 260 | py | Python | consultas/consultas/doctype/antibiotico/antibiotico.py | Lewinta/Consultas | e01ad870a2bad0eb5938d8800e3e2934402fce62 | [
"MIT"
] | null | null | null | consultas/consultas/doctype/antibiotico/antibiotico.py | Lewinta/Consultas | e01ad870a2bad0eb5938d8800e3e2934402fce62 | [
"MIT"
] | null | null | null | consultas/consultas/doctype/antibiotico/antibiotico.py | Lewinta/Consultas | e01ad870a2bad0eb5938d8800e3e2934402fce62 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2017, Lewin Villar and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe.model.document import Document
class Antibiotico(Document):
pass
| 23.636364 | 51 | 0.780769 |
7953faf5f5cca2ef0f3c179174903cf9902a33a3 | 15,939 | py | Python | cogs/admin.py | SarrowSeviper/Bui | 8d1c89566d5be1f882666cabc77cfbfeee5d56e3 | [
"MIT"
] | 1 | 2018-10-13T16:06:02.000Z | 2018-10-13T16:06:02.000Z | cogs/admin.py | SarrowSeviper/Bui | 8d1c89566d5be1f882666cabc77cfbfeee5d56e3 | [
"MIT"
] | 13 | 2018-10-31T21:15:05.000Z | 2018-10-31T21:15:16.000Z | cogs/admin.py | BuiArtSociety/buibot | b362aa8e61cc79fd3b9575f364ea610ba4d0a0d9 | [
"MIT"
] | 1 | 2018-11-25T11:54:15.000Z | 2018-11-25T11:54:15.000Z | import time
import aiohttp
import traceback
import discord
import textwrap
import io
import datetime
import random
import json
import shlex
import gc
import os
from subprocess import Popen, PIPE
from dhooks import Webhook
from contextlib import redirect_stdout
from copy import copy
from typing import Union
from utils ... | 36.981439 | 307 | 0.583098 |
7953fb9f581b085ec1a9f8c794f68b3d1c1df395 | 8,128 | py | Python | nilearn/input_data/tests/test_multi_nifti_masker.py | ryanhammonds/nilearn | f33cd4e4685d9050e5bba0a8ece1b0b0f0ad1be2 | [
"BSD-2-Clause"
] | null | null | null | nilearn/input_data/tests/test_multi_nifti_masker.py | ryanhammonds/nilearn | f33cd4e4685d9050e5bba0a8ece1b0b0f0ad1be2 | [
"BSD-2-Clause"
] | null | null | null | nilearn/input_data/tests/test_multi_nifti_masker.py | ryanhammonds/nilearn | f33cd4e4685d9050e5bba0a8ece1b0b0f0ad1be2 | [
"BSD-2-Clause"
] | null | null | null | """
Test the multi_nifti_masker module
"""
# Author: Gael Varoquaux
# License: simplified BSD
import shutil
from distutils.version import LooseVersion
from tempfile import mkdtemp
import nibabel
import numpy as np
import sklearn
from nibabel import Nifti1Image
from nose import SkipTest
from nose.tools import assert_tr... | 34.735043 | 77 | 0.611467 |
7953fc44bc41a5093f6dcfaf0b57b9c1fd6a1073 | 308 | py | Python | helper_utils/helperutils/boolean_argparse.py | splitstrument/utils | 8e33caec64dfd66369c3a19c069cf4a946a3fc95 | [
"MIT"
] | null | null | null | helper_utils/helperutils/boolean_argparse.py | splitstrument/utils | 8e33caec64dfd66369c3a19c069cf4a946a3fc95 | [
"MIT"
] | null | null | null | helper_utils/helperutils/boolean_argparse.py | splitstrument/utils | 8e33caec64dfd66369c3a19c069cf4a946a3fc95 | [
"MIT"
] | null | null | null | def str2bool(v):
import argparse
if isinstance(v, bool):
return v
if v.lower() in ('yes', 'true', 't', 'y', '1'):
return True
elif v.lower() in ('no', 'false', 'f', 'n', '0'):
return False
else:
raise argparse.ArgumentTypeError('Boolean value expected.')
| 25.666667 | 67 | 0.542208 |
7953fc4782f1a0d6f25c5c6def8ee4e211c3e7c7 | 15,230 | py | Python | quizv2.1.py | nealalan/quiz-giver | 86a089d4d75c91104102f6f6a637f96ba496b521 | [
"Unlicense"
] | 1 | 2019-03-18T15:09:37.000Z | 2019-03-18T15:09:37.000Z | quizv2.1.py | nealalan/quiz-giver | 86a089d4d75c91104102f6f6a637f96ba496b521 | [
"Unlicense"
] | null | null | null | quizv2.1.py | nealalan/quiz-giver | 86a089d4d75c91104102f6f6a637f96ba496b521 | [
"Unlicense"
] | null | null | null | ###########################################################################
# project: https://nealalan.github.io/quiz-giver-sec-plus
# updated: 2018/10/20 v2.1b
#
# python program to give a quiz based on two input files
#
# v2.1b commented out prints used for debugging and validated the Q#
# input incase the user mes... | 49.934426 | 212 | 0.560867 |
7953fc826102a212dd2440408c6d1e9663a37b55 | 13,296 | py | Python | nvidia_MODEL2.py | savinay95n/Behavioral-cloning-Steering-angle-prediction | efa0c02d1d21dc7233899193de0be5615fe27318 | [
"Apache-2.0"
] | 2 | 2022-02-07T20:46:32.000Z | 2022-03-13T07:27:44.000Z | nvidia_MODEL2.py | savinay95n/Behavioral-cloning-Steering-angle-prediction | efa0c02d1d21dc7233899193de0be5615fe27318 | [
"Apache-2.0"
] | 2 | 2021-05-04T19:42:32.000Z | 2021-05-04T19:50:49.000Z | nvidia_MODEL2.py | savinay95n/Behavioral-cloning-Steering-angle-prediction | efa0c02d1d21dc7233899193de0be5615fe27318 | [
"Apache-2.0"
] | null | null | null | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import os
import cv2
import random
import json
import math
import keras
from keras.preprocessing.image import *
from keras.models import Sequential, Model
from keras.layers import Convolution2D, Flatten, MaxPooling2D, Lambda, ELU
from ... | 34.897638 | 137 | 0.66426 |
7953fe1ac7e30c8cc6c2252b0c6a2892b8d030bf | 1,014 | py | Python | src/adata/window/__init__.py | txemavs/adata | 89a6d27fa59dc26ae3036685bb9d8bfb8e983fd9 | [
"MIT"
] | 1 | 2018-03-24T12:18:08.000Z | 2018-03-24T12:18:08.000Z | src/adata/window/__init__.py | txemavs/adata | 89a6d27fa59dc26ae3036685bb9d8bfb8e983fd9 | [
"MIT"
] | null | null | null | src/adata/window/__init__.py | txemavs/adata | 89a6d27fa59dc26ae3036685bb9d8bfb8e983fd9 | [
"MIT"
] | null | null | null |
import wx.html2
from ..core import *
from ..gui.text import TextEditor
class TextWindow(wx.Frame):
'''A text editor window
'''
def __init__(self, filepath=None):
wx.Frame.__init__(self, None, -1, filepath, size=(800, 600))
self.text = TextEditor(self)
self.sizer = wx.BoxSizer(wx.V... | 23.581395 | 68 | 0.585799 |
7953fede98d7a26981cd0d4f577fe63f954965ba | 644 | py | Python | tests/test_set_ramp_z.py | elsandal/pyclesperanto_prototype | 7bda828813b86b44b63d73d5e8f466d9769cded1 | [
"BSD-3-Clause"
] | 64 | 2020-03-18T12:11:22.000Z | 2022-03-31T08:19:18.000Z | tests/test_set_ramp_z.py | elsandal/pyclesperanto_prototype | 7bda828813b86b44b63d73d5e8f466d9769cded1 | [
"BSD-3-Clause"
] | 148 | 2020-05-14T06:14:11.000Z | 2022-03-26T15:02:31.000Z | tests/test_set_ramp_z.py | elsandal/pyclesperanto_prototype | 7bda828813b86b44b63d73d5e8f466d9769cded1 | [
"BSD-3-Clause"
] | 16 | 2020-05-31T00:53:44.000Z | 2022-03-23T13:20:57.000Z | import pyclesperanto_prototype as cle
import numpy as np
def test_set_ramp_z():
result = cle.push(np.asarray([
[
[0, 0, 0],
[3, 4, 3],
[3, 4, 3]
], [
[3, 4, 3],
[3, 4, 3],
[3, 4, 3]
]
]))
reference = cle.push(n... | 17.405405 | 37 | 0.354037 |
7953ff924c2ac4094200c80736168f32da38a40b | 1,020 | py | Python | src/charma/media_info/interface.py | mononobi/charma-server | ed90f5ec0b5ff3996232d5fe49a4f77f96d82ced | [
"BSD-3-Clause"
] | 1 | 2020-01-16T23:36:10.000Z | 2020-01-16T23:36:10.000Z | src/charma/media_info/interface.py | mononobi/imovie-server | ed90f5ec0b5ff3996232d5fe49a4f77f96d82ced | [
"BSD-3-Clause"
] | 24 | 2020-06-08T18:27:04.000Z | 2021-06-06T12:01:39.000Z | src/charma/media_info/interface.py | mononobi/charma-server | ed90f5ec0b5ff3996232d5fe49a4f77f96d82ced | [
"BSD-3-Clause"
] | 1 | 2020-12-20T05:29:04.000Z | 2020-12-20T05:29:04.000Z | # -*- coding: utf-8 -*-
"""
media info interface module.
"""
from threading import Lock
from abc import abstractmethod
from pyrin.core.structs import CoreObject, MultiSingletonMeta
from pyrin.core.exceptions import CoreNotImplementedError
class MediaInfoSingletonMeta(MultiSingletonMeta):
"""
media info sing... | 22.173913 | 78 | 0.655882 |
7953ffa279b8649e92758d2ab5c797dcca767b53 | 5,956 | py | Python | webapp/models/l0_model.py | dushik/AdversarialDNN-Playground | cd960c37aeb610f01c30c296ac481606209ed9ee | [
"Apache-2.0"
] | 125 | 2017-05-03T23:56:48.000Z | 2022-03-31T09:49:23.000Z | webapp/models/l0_model.py | dushik/AdversarialDNN-Playground | cd960c37aeb610f01c30c296ac481606209ed9ee | [
"Apache-2.0"
] | 4 | 2017-06-05T15:16:48.000Z | 2022-02-09T23:26:25.000Z | webapp/models/l0_model.py | Qdata4Capstone/capstone18-AdversarialTexPlayground2 | 8feb6e1ef1d293dcb8869faa8a84216cdc3dd5ce | [
"Apache-2.0"
] | 29 | 2017-06-01T15:31:27.000Z | 2021-04-01T13:01:35.000Z | # ML includes
import tensorflow as tf
import numpy as np
import pandas as pd
# General python includes
import os
import math
import json
from itertools import permutations, combinations, product
# Plotting
import matplotlib
import matplotlib.pyplot as plt
matplotlib.style.use('fivethirtyeight')
def grad(F):
x = tf... | 31.183246 | 112 | 0.665883 |
7953ffbba29f0d026f8de5ea81967dddf76cd2c2 | 2,332 | py | Python | samples/cli/accelbyte_py_sdk_cli/ugc/_single_admin_get_group.py | AccelByte/accelbyte-python-sdk | dcd311fad111c59da828278975340fb92e0f26f7 | [
"MIT"
] | null | null | null | samples/cli/accelbyte_py_sdk_cli/ugc/_single_admin_get_group.py | AccelByte/accelbyte-python-sdk | dcd311fad111c59da828278975340fb92e0f26f7 | [
"MIT"
] | 1 | 2021-10-13T03:46:58.000Z | 2021-10-13T03:46:58.000Z | samples/cli/accelbyte_py_sdk_cli/ugc/_single_admin_get_group.py | AccelByte/accelbyte-python-sdk | dcd311fad111c59da828278975340fb92e0f26f7 | [
"MIT"
] | null | null | null | # Copyright (c) 2021 AccelByte Inc. All Rights Reserved.
# This is licensed software from AccelByte Inc, for limitations
# and restrictions contact your company contract manager.
#
# Code generated. DO NOT EDIT!
# template_file: python-cli-command.j2
# justice-ugc-service (2.1.0)
# pylint: disable=duplicate-code
# p... | 31.945205 | 94 | 0.744425 |
79540109ca08e895ba6ccd122a27747fadfbc57a | 1,227 | py | Python | pov/make_timelapse.py | ANaka/pov | 59edc1e6761baa45f197f3f8d9a79a7152eb9dc8 | [
"CC0-1.0"
] | null | null | null | pov/make_timelapse.py | ANaka/pov | 59edc1e6761baa45f197f3f8d9a79a7152eb9dc8 | [
"CC0-1.0"
] | null | null | null | pov/make_timelapse.py | ANaka/pov | 59edc1e6761baa45f197f3f8d9a79a7152eb9dc8 | [
"CC0-1.0"
] | null | null | null | import ffmpeg
import click
from pathlib import Path
import fn
ROOT_DIRECTORY = '/home/naka/Videos/pov'
@click.command()
@click.option('--input_dir', '-i', default=None)
@click.option('--suffix', '-s', default='.jpg')
@click.option('--output', '-o', default=None)
@click.option('--framerate', '-r', default=35)
@cli... | 27.266667 | 58 | 0.560717 |
7954014a7c8fa87f1ee562fe3804f25b2adbddbd | 4,078 | py | Python | recipes/WHAMandWHAMR/meta/create_whamr_rirs.py | JasonSWFu/speechbrain | cb78ba2b33fceba273b055dc471535344c3053f0 | [
"Apache-2.0"
] | 3,913 | 2021-03-14T13:54:52.000Z | 2022-03-30T05:09:55.000Z | recipes/WHAMandWHAMR/meta/create_whamr_rirs.py | JasonSWFu/speechbrain | cb78ba2b33fceba273b055dc471535344c3053f0 | [
"Apache-2.0"
] | 667 | 2021-03-14T20:11:17.000Z | 2022-03-31T04:07:17.000Z | recipes/WHAMandWHAMR/meta/create_whamr_rirs.py | JasonSWFu/speechbrain | cb78ba2b33fceba273b055dc471535344c3053f0 | [
"Apache-2.0"
] | 785 | 2021-03-14T13:20:57.000Z | 2022-03-31T03:26:03.000Z | """
Adapted from the original WHAMR script to obtain the Room Impulse ResponsesRoom Impulse Responses
Authors
* Cem Subakan 2021
"""
import os
import pandas as pd
import argparse
import torchaudio
from recipes.WHAMandWHAMR.meta.wham_room import WhamRoom
from scipy.signal import resample_poly
import torch
from spe... | 28.71831 | 97 | 0.518391 |
79540179b72e0281f0ce55e7dbd1eaf23fed7889 | 8,953 | py | Python | forms-flow-api/tests/unit/api/test_application.py | sreehari-aot/forms-flow-ai | 11e2fdd6da792aaa9dd46c0cec38564fe5916b58 | [
"Apache-2.0"
] | null | null | null | forms-flow-api/tests/unit/api/test_application.py | sreehari-aot/forms-flow-ai | 11e2fdd6da792aaa9dd46c0cec38564fe5916b58 | [
"Apache-2.0"
] | null | null | null | forms-flow-api/tests/unit/api/test_application.py | sreehari-aot/forms-flow-ai | 11e2fdd6da792aaa9dd46c0cec38564fe5916b58 | [
"Apache-2.0"
] | null | null | null | """Test suite for application API endpoint."""
import pytest
from tests.utilities.base_test import (
factory_auth_header,
get_application_create_payload,
get_form_request_payload,
)
class TestApplicationResource:
"""Test suite for the application endpoint."""
def test_application_no_auth_api(sel... | 34.302682 | 100 | 0.624707 |
795402c19ffcdb82de32560aa3e330ee034cc1c8 | 1,450 | py | Python | Datacamp Assignments/Data Engineer Track/4. Writing Efficient Python Code/21_gathering_unique_items.py | Ali-Parandeh/Data_Science_Playground | c529e9b3692381572de259e7c93938d6611d83da | [
"MIT"
] | null | null | null | Datacamp Assignments/Data Engineer Track/4. Writing Efficient Python Code/21_gathering_unique_items.py | Ali-Parandeh/Data_Science_Playground | c529e9b3692381572de259e7c93938d6611d83da | [
"MIT"
] | null | null | null | Datacamp Assignments/Data Engineer Track/4. Writing Efficient Python Code/21_gathering_unique_items.py | Ali-Parandeh/Data_Science_Playground | c529e9b3692381572de259e7c93938d6611d83da | [
"MIT"
] | 1 | 2021-03-10T09:40:05.000Z | 2021-03-10T09:40:05.000Z | # Use find_unique_items() to collect unique Pokémon names
uniq_names_func = find_unique_items(names)
print(len(uniq_names_func))
'''
368
'''
# Convert the names list to a set to collect unique Pokémon names
uniq_names_set = set(names)
print(len(uniq_names_set))
'''
368
'''
# Check that both unique collections are e... | 30.851064 | 158 | 0.717931 |
795402d59431b803c332ac676a7b71ad83f40853 | 5,275 | py | Python | translate/instantiate.py | schultet/goa | b76af608109ff217a2b68ca4e66582850c0a47ea | [
"MIT"
] | 2 | 2019-05-13T11:59:18.000Z | 2019-05-13T12:37:51.000Z | translate/instantiate.py | schultet/goa | b76af608109ff217a2b68ca4e66582850c0a47ea | [
"MIT"
] | null | null | null | translate/instantiate.py | schultet/goa | b76af608109ff217a2b68ca4e66582850c0a47ea | [
"MIT"
] | null | null | null | #! /usr/bin/env python
from __future__ import print_function
from collections import defaultdict
import build_model
import pddl_to_prolog
import pddl
import timers
def get_fluent_facts(task, model):
fluent_predicates = set()
for action in task.actions:
for effect in action.effects:
fluen... | 35.641892 | 87 | 0.640758 |
795403e1b2351da644ae486f1de11d26fbd4fda5 | 101 | py | Python | src/bucket_service/bucket_app/run.py | cinmoy98/bucket-list---microservices-restapi-flask-mongodb | 2f1f34c1e88ef3d7d06447042a3c1256dd789a4a | [
"MIT"
] | null | null | null | src/bucket_service/bucket_app/run.py | cinmoy98/bucket-list---microservices-restapi-flask-mongodb | 2f1f34c1e88ef3d7d06447042a3c1256dd789a4a | [
"MIT"
] | null | null | null | src/bucket_service/bucket_app/run.py | cinmoy98/bucket-list---microservices-restapi-flask-mongodb | 2f1f34c1e88ef3d7d06447042a3c1256dd789a4a | [
"MIT"
] | null | null | null | from app import bapp
if __name__ == '__main__':
bapp.run(host = '127.0.0.3', port=5000, debug=True) | 25.25 | 52 | 0.683168 |
795404e4e14faecb5237aee9e42759988b11d60b | 1,354 | py | Python | ooobuild/dyn/report/x_report_engine.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | ooobuild/dyn/report/x_report_engine.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | ooobuild/dyn/report/x_report_engine.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
#
# Copyright 2022 :Barry-Thomas-Paul: Moss
#
# 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... | 36.594595 | 82 | 0.767356 |
7954051e64c761a6473a4ae54e063c1b13269191 | 23,695 | py | Python | onmt/Models.py | mingchen62/im2text-pytorch | 9516be1aad70517603383a92670c296f8d7e343e | [
"MIT"
] | 1 | 2020-03-24T08:42:38.000Z | 2020-03-24T08:42:38.000Z | onmt/Models.py | mingchen62/im2text-pytorch | 9516be1aad70517603383a92670c296f8d7e343e | [
"MIT"
] | null | null | null | onmt/Models.py | mingchen62/im2text-pytorch | 9516be1aad70517603383a92670c296f8d7e343e | [
"MIT"
] | null | null | null | from __future__ import division
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from torch.nn.utils.rnn import pack_padded_sequence as pack
from torch.nn.utils.rnn import pad_packed_sequence as unpack
import onmt
from onmt.Utils import aeq
def rnn_factory(rnn_t... | 35.955994 | 79 | 0.578097 |
79540567aa7b78345ec78d7784122b87ed62854a | 17,453 | py | Python | marl/algorithms/masac/run_masac.py | Justin-Yuan/learn-to-interact | eb013bb3bab269bda8a8075e64fe3bcd2964d8ae | [
"MIT"
] | 1 | 2021-01-14T02:49:58.000Z | 2021-01-14T02:49:58.000Z | marl/algorithms/masac/run_masac.py | Justin-Yuan/learn-to-interact | eb013bb3bab269bda8a8075e64fe3bcd2964d8ae | [
"MIT"
] | 8 | 2020-09-25T21:36:55.000Z | 2022-02-10T01:17:25.000Z | marl/algorithms/masac/run_masac.py | Justin-Yuan/learn-to-interact | eb013bb3bab269bda8a8075e64fe3bcd2964d8ae | [
"MIT"
] | 1 | 2020-10-26T13:52:16.000Z | 2020-10-26T13:52:16.000Z | import os
import sys
# path at level marl/
sys.path.insert(0, os.path.abspath("."))
import time
import argparse
import numpy as np
from functools import partial
from collections import OrderedDict, defaultdict
import torch
# local
from algorithms.masac.utils import get_sample_scheme, dispatch_samples
from algorithms... | 49.16338 | 130 | 0.600527 |
795406276555af9a490d25509ba6a7b134fbadbd | 3,155 | py | Python | great_expectations/render/renderer/page_renderer.py | orenovadia/great_expectations | 76ef0c4e066227f8b589a1ee6ac885618f65906e | [
"Apache-2.0"
] | null | null | null | great_expectations/render/renderer/page_renderer.py | orenovadia/great_expectations | 76ef0c4e066227f8b589a1ee6ac885618f65906e | [
"Apache-2.0"
] | null | null | null | great_expectations/render/renderer/page_renderer.py | orenovadia/great_expectations | 76ef0c4e066227f8b589a1ee6ac885618f65906e | [
"Apache-2.0"
] | null | null | null | from .renderer import Renderer
from .column_section_renderer import (
DescriptiveColumnSectionRenderer,
PrescriptiveColumnSectionRenderer,
)
from .other_section_renderer import (
DescriptiveOverviewSectionRenderer,
)
class PrescriptivePageRenderer(Renderer):
@classmethod
def render(cls, expectati... | 36.264368 | 109 | 0.593344 |
795406d9d5d313c79ef7d034e8713db6265b2bd7 | 9,074 | py | Python | airflow/sensors/base_sensor_operator.py | j-y-matsubara/airflow | 94a7673e8b208af165a191d940034bfb8b8e0b7e | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | null | null | null | airflow/sensors/base_sensor_operator.py | j-y-matsubara/airflow | 94a7673e8b208af165a191d940034bfb8b8e0b7e | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | null | null | null | airflow/sensors/base_sensor_operator.py | j-y-matsubara/airflow | 94a7673e8b208af165a191d940034bfb8b8e0b7e | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 1 | 2021-07-06T17:12:07.000Z | 2021-07-06T17:12:07.000Z | #
# 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... | 41.623853 | 96 | 0.641724 |
79540885beac52316d128981f3ef0c3ec883d799 | 5,208 | py | Python | src/m7_summing.py | josephklaw/03-AccumulatorsAndFunctionsWithParameters | 7228fa5ab696737a4365f9ee3f600df503e1a645 | [
"MIT"
] | null | null | null | src/m7_summing.py | josephklaw/03-AccumulatorsAndFunctionsWithParameters | 7228fa5ab696737a4365f9ee3f600df503e1a645 | [
"MIT"
] | null | null | null | src/m7_summing.py | josephklaw/03-AccumulatorsAndFunctionsWithParameters | 7228fa5ab696737a4365f9ee3f600df503e1a645 | [
"MIT"
] | null | null | null | """
This module lets you practice the ACCUMULATOR pattern
in its simplest classic forms:
SUMMING: total = total + number
Authors: David Mutchler, Vibha Alangar, Matt Boutell, Dave Fisher, Mark Hays,
Aaron Wilkin, their colleagues, and Joseph Law.
""" # DONE: 1. PUT YOUR NAME IN THE ABOVE LINE.
impo... | 39.454545 | 106 | 0.495392 |
795408edeb70aa5b743d84dbddcfefd1e48d0eb2 | 6,847 | py | Python | tests/test_utils.py | TobiasUhmann/pykeen | 82ca32a69f46f2e8a6255d7d2ce519eefbb3757e | [
"MIT"
] | 2 | 2020-11-25T14:16:39.000Z | 2021-04-15T18:36:46.000Z | tests/test_utils.py | TobiasUhmann/pykeen | 82ca32a69f46f2e8a6255d7d2ce519eefbb3757e | [
"MIT"
] | null | null | null | tests/test_utils.py | TobiasUhmann/pykeen | 82ca32a69f46f2e8a6255d7d2ce519eefbb3757e | [
"MIT"
] | 1 | 2021-04-02T13:15:58.000Z | 2021-04-02T13:15:58.000Z | # -*- coding: utf-8 -*-
"""Unittest for for global utilities."""
import string
import unittest
import numpy
import torch
from pykeen.nn import Embedding
from pykeen.utils import (
clamp_norm,
compact_mapping,
flatten_dictionary,
get_until_first_blank,
l2_regularization,
)
class L2Regularizatio... | 31.122727 | 107 | 0.569154 |
7954094c29f9c06372b19a01e6d5c7f0b61dc5bb | 6,274 | py | Python | botstart.py | Mahas1/Guren | 6bb8947b0407435f15be1e5a12de6050bf7de95c | [
"MIT"
] | null | null | null | botstart.py | Mahas1/Guren | 6bb8947b0407435f15be1e5a12de6050bf7de95c | [
"MIT"
] | null | null | null | botstart.py | Mahas1/Guren | 6bb8947b0407435f15be1e5a12de6050bf7de95c | [
"MIT"
] | null | null | null | import asyncio
import os
import random
import logging
import contextlib
import sqlite3
import discord
from discord.ext import commands
from pathlib import Path
import motor.motor_asyncio
import io
import textwrap
import traceback
from traceback import format_exception
import utils.json_loader
from utils.mongo import ... | 28.261261 | 87 | 0.639624 |
79540a9b1fb92958e29f28edbb9a1a559986a092 | 5,813 | py | Python | tests/modules/seq2vec_encoders/pytorch_seq2vec_wrapper_test.py | MSLars/allennlp | 2cdb8742c8c8c3c38ace4bdfadbdc750a1aa2475 | [
"Apache-2.0"
] | 11,433 | 2017-06-27T03:08:46.000Z | 2022-03-31T18:14:33.000Z | tests/modules/seq2vec_encoders/pytorch_seq2vec_wrapper_test.py | MSLars/allennlp | 2cdb8742c8c8c3c38ace4bdfadbdc750a1aa2475 | [
"Apache-2.0"
] | 4,006 | 2017-06-26T21:45:43.000Z | 2022-03-31T02:11:10.000Z | tests/modules/seq2vec_encoders/pytorch_seq2vec_wrapper_test.py | MSLars/allennlp | 2cdb8742c8c8c3c38ace4bdfadbdc750a1aa2475 | [
"Apache-2.0"
] | 2,560 | 2017-06-26T21:16:53.000Z | 2022-03-30T07:55:46.000Z | import pytest
from numpy.testing import assert_almost_equal
import torch
from torch.nn import LSTM
from torch.nn.utils.rnn import pack_padded_sequence
from allennlp.common.checks import ConfigurationError
from allennlp.common.testing import AllenNlpTestCase
from allennlp.modules.seq2vec_encoders import PytorchSeq2VecW... | 43.059259 | 100 | 0.652675 |
79540c107b095117e67e61936eb603b7d19b3cec | 1,018 | py | Python | src/events/EventMessageBuilder.py | ITAnalyst-JU/process-logger | a51d4604b2dc3047dec9adfec96334ff20a3782f | [
"MIT"
] | null | null | null | src/events/EventMessageBuilder.py | ITAnalyst-JU/process-logger | a51d4604b2dc3047dec9adfec96334ff20a3782f | [
"MIT"
] | null | null | null | src/events/EventMessageBuilder.py | ITAnalyst-JU/process-logger | a51d4604b2dc3047dec9adfec96334ff20a3782f | [
"MIT"
] | null | null | null | import html
import json
def _str(s): return html.escape(str(s))
class EventMessageBuilder:
def __init__(self, event_name, content=None):
self.event_name = str(event_name)
self.content = str(content) if content is not None else ''
self.attrs = {}
def attributes(self, **attrs):
... | 28.277778 | 73 | 0.543222 |
79540db7343cd37c04169f2c2a9534f0c0ea7d5c | 1,187 | py | Python | code/math_examples.py | rustam-fork/ml-course-uz | e1554d4c69bf0e421aa596d77aab65639df1ff73 | [
"MIT"
] | 21 | 2018-01-05T09:24:49.000Z | 2021-04-24T03:25:25.000Z | code/math_examples.py | rustam-fork/ml-course-uz | e1554d4c69bf0e421aa596d77aab65639df1ff73 | [
"MIT"
] | 1 | 2019-11-11T18:34:53.000Z | 2019-11-13T15:56:10.000Z | code/math_examples.py | rustam-fork/ml-course-uz | e1554d4c69bf0e421aa596d77aab65639df1ff73 | [
"MIT"
] | 13 | 2018-01-05T10:26:47.000Z | 2022-01-25T07:48:33.000Z | import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
def draw_parabola(steps=50):
x = np.linspace(-4, 4, steps)
plt.plot(x, x ** 2)
plt.axvline(x=0, color='b', linestyle='dashed')
def draw_paraboloid(steps=50):
fig = plt.figure(figsize=... | 27.604651 | 118 | 0.57877 |
79540e2cd3e0b225ae8438ea4529e9123555eb1f | 76 | py | Python | tests/fixtures/.marten/manual.py | nick-allen/python-marten | 0351ba590311ca09bc3b3184678a2e6cf00aa2d9 | [
"MIT"
] | null | null | null | tests/fixtures/.marten/manual.py | nick-allen/python-marten | 0351ba590311ca09bc3b3184678a2e6cf00aa2d9 | [
"MIT"
] | null | null | null | tests/fixtures/.marten/manual.py | nick-allen/python-marten | 0351ba590311ca09bc3b3184678a2e6cf00aa2d9 | [
"MIT"
] | null | null | null | __author__ = 'Nick Allen <nick.allen.cse@gmail.com>'
MARTEN_FIXTURE = False | 25.333333 | 52 | 0.763158 |
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