hexsha stringlengths 40 40 | size int64 4 1.02M | ext stringclasses 8
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 4 209 | max_stars_repo_name stringlengths 5 121 | max_stars_repo_head_hexsha stringlengths 40 40 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 4 209 | max_issues_repo_name stringlengths 5 121 | max_issues_repo_head_hexsha stringlengths 40 40 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 67k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 4 209 | max_forks_repo_name stringlengths 5 121 | max_forks_repo_head_hexsha stringlengths 40 40 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 4 1.02M | avg_line_length float64 1.07 66.1k | max_line_length int64 4 266k | alphanum_fraction float64 0.01 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
cae76b75e5778ea107f90f9ff7817de4ffab3abc | 159 | py | Python | src/webhooks/backends/__init__.py | fellowship/Zoom2Youtube | e2ec37d0921c1d6b4f7be3249f156618bbee71c9 | [
"MIT"
] | null | null | null | src/webhooks/backends/__init__.py | fellowship/Zoom2Youtube | e2ec37d0921c1d6b4f7be3249f156618bbee71c9 | [
"MIT"
] | null | null | null | src/webhooks/backends/__init__.py | fellowship/Zoom2Youtube | e2ec37d0921c1d6b4f7be3249f156618bbee71c9 | [
"MIT"
] | null | null | null | from webhooks.backends.slack import *
from webhooks.backends.zapier import *
from webhooks.backends.welltory import *
from webhooks.backends.air_table import * | 39.75 | 41 | 0.830189 |
34063eec80eb6c22fe63e3dc6c2b11f788156c1e | 814 | py | Python | src/todo/urls.py | GMNaim/To-Do-App | 7a9ebdd4481227350c634079f01ca6b6140cde76 | [
"MIT"
] | null | null | null | src/todo/urls.py | GMNaim/To-Do-App | 7a9ebdd4481227350c634079f01ca6b6140cde76 | [
"MIT"
] | 6 | 2021-03-19T01:17:19.000Z | 2021-09-22T18:47:49.000Z | src/todo/urls.py | GMNaim/To-Do-App | 7a9ebdd4481227350c634079f01ca6b6140cde76 | [
"MIT"
] | null | null | null | """todo URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-... | 35.391304 | 78 | 0.681818 |
b2a3f4e9f5e394fd0c4ca66dddfede1a0fea84f3 | 12,942 | py | Python | homeassistant/components/xiaomi_miio/number.py | learn-home-automation/core | c5d8792c3487e9b418b1e7d623bf59e7dbddd6b7 | [
"Apache-2.0"
] | 22,481 | 2020-03-02T13:09:59.000Z | 2022-03-31T23:34:28.000Z | homeassistant/components/xiaomi_miio/number.py | learn-home-automation/core | c5d8792c3487e9b418b1e7d623bf59e7dbddd6b7 | [
"Apache-2.0"
] | 31,101 | 2020-03-02T13:00:16.000Z | 2022-03-31T23:57:36.000Z | homeassistant/components/xiaomi_miio/number.py | learn-home-automation/core | c5d8792c3487e9b418b1e7d623bf59e7dbddd6b7 | [
"Apache-2.0"
] | 11,411 | 2020-03-02T14:19:20.000Z | 2022-03-31T22:46:07.000Z | """Motor speed support for Xiaomi Mi Air Humidifier."""
from __future__ import annotations
from dataclasses import dataclass
from homeassistant.components.number import NumberEntity, NumberEntityDescription
from homeassistant.config_entries import ConfigEntry
from homeassistant.const import DEGREE, TIME_MINUTES
from ... | 33.528497 | 85 | 0.685365 |
fa59b1bfccf11720b79bdf0010bd4d74fa46cf49 | 520 | py | Python | 4_Backwoods_Forest/172-Forest_Jogging/forest_logging.py | katitek/Code-Combat | fbda1ac0ae4a2e2cbfce21492a2caec8098f1bef | [
"MIT"
] | null | null | null | 4_Backwoods_Forest/172-Forest_Jogging/forest_logging.py | katitek/Code-Combat | fbda1ac0ae4a2e2cbfce21492a2caec8098f1bef | [
"MIT"
] | null | null | null | 4_Backwoods_Forest/172-Forest_Jogging/forest_logging.py | katitek/Code-Combat | fbda1ac0ae4a2e2cbfce21492a2caec8098f1bef | [
"MIT"
] | null | null | null | def onSpawn(event):
while True
pet.moveXY(9, 24)
pet.moveXY(30, 43)
pet.moveXY(51, 24)
pet.moveXY(30, 5)
def castIt():
if hero.canCast("haste"):
hero.cast("haste", pet)
elif hero.isReady("reset-cooldown"):
hero.resetCooldown("haste")
pet.on("spawn", onSpawn... | 19.259259 | 40 | 0.553846 |
605c666a675dbb58fe39d8d7ffce6bce92513630 | 3,157 | py | Python | isi_sdk_8_0/isi_sdk_8_0/models/cluster_patch_patches.py | mohitjain97/isilon_sdk_python | a371f438f542568edb8cda35e929e6b300b1177c | [
"Unlicense"
] | 24 | 2018-06-22T14:13:23.000Z | 2022-03-23T01:21:26.000Z | isi_sdk_8_0/isi_sdk_8_0/models/cluster_patch_patches.py | mohitjain97/isilon_sdk_python | a371f438f542568edb8cda35e929e6b300b1177c | [
"Unlicense"
] | 46 | 2018-04-30T13:28:22.000Z | 2022-03-21T21:11:07.000Z | isi_sdk_8_0/isi_sdk_8_0/models/cluster_patch_patches.py | mohitjain97/isilon_sdk_python | a371f438f542568edb8cda35e929e6b300b1177c | [
"Unlicense"
] | 29 | 2018-06-19T00:14:04.000Z | 2022-02-08T17:51:19.000Z | # coding: utf-8
"""
Isilon SDK
Isilon SDK - Language bindings for the OneFS API # noqa: E501
OpenAPI spec version: 3
Contact: sdk@isilon.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
from isi_sdk_8_0.models.cluster_p... | 27.452174 | 102 | 0.578714 |
6b471ff39e7216be756a12689aacd8bae072b01e | 2,999 | py | Python | tools/html_tilegrid.py | umarcor/prjtrellis | 9b3db7ba9a02e7d2f49c52ce062d5b22e320004c | [
"MIT"
] | 256 | 2018-03-05T00:28:46.000Z | 2022-03-04T22:33:29.000Z | tools/html_tilegrid.py | umarcor/prjtrellis | 9b3db7ba9a02e7d2f49c52ce062d5b22e320004c | [
"MIT"
] | 70 | 2018-03-12T21:55:02.000Z | 2020-06-22T12:06:08.000Z | tools/html_tilegrid.py | umarcor/prjtrellis | 9b3db7ba9a02e7d2f49c52ce062d5b22e320004c | [
"MIT"
] | 68 | 2018-03-12T21:05:01.000Z | 2021-03-14T21:08:33.000Z | #!/usr/bin/env python3
"""
Convert the tile grid for a given family and device to HTML format
"""
import sys, re
import argparse
import database
import tiles as tilelib
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument('family', type=str,
help="FPGA family (e.g. ECP5)")
pars... | 32.956044 | 173 | 0.570524 |
228c06f9aac5bd24ada12f5560f6316737e5d8db | 5,896 | py | Python | goverge/test/test_main.py | matthewsullivan-wf/goverge | 9091e375985c077a9a7210dedc30a2582a8c0a84 | [
"Apache-2.0"
] | 4 | 2016-07-21T00:53:15.000Z | 2018-05-28T09:18:21.000Z | goverge/test/test_main.py | matthewsullivan-wf/goverge | 9091e375985c077a9a7210dedc30a2582a8c0a84 | [
"Apache-2.0"
] | 52 | 2016-01-19T22:22:31.000Z | 2021-09-08T20:17:54.000Z | goverge/test/test_main.py | matthewsullivan-wf/goverge | 9091e375985c077a9a7210dedc30a2582a8c0a84 | [
"Apache-2.0"
] | 7 | 2016-06-29T22:00:08.000Z | 2021-05-05T20:56:39.000Z | """
Copyright 2016 Workiva, 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, software
dist... | 33.123596 | 76 | 0.596845 |
caa29efeb2adfbad53043dd78e0bf1c8fe8e5797 | 722 | py | Python | apps/discordbot/migrations/0002_connectfourgame.py | dlzou/csua-backend | a2a6642017b81c2fe2bcc497ecc772e9b7dfe210 | [
"MIT"
] | null | null | null | apps/discordbot/migrations/0002_connectfourgame.py | dlzou/csua-backend | a2a6642017b81c2fe2bcc497ecc772e9b7dfe210 | [
"MIT"
] | null | null | null | apps/discordbot/migrations/0002_connectfourgame.py | dlzou/csua-backend | a2a6642017b81c2fe2bcc497ecc772e9b7dfe210 | [
"MIT"
] | null | null | null | # Generated by Django 2.2.19 on 2021-03-05 03:07
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [("discordbot", "0001_initial")]
operations = [
migrations.CreateModel(
name="ConnectFourGame",
fields=[
("message_... | 31.391304 | 87 | 0.577562 |
93891f46ffd0a4ba4e1ff1abf4330bd7c4c38427 | 1,776 | py | Python | tests/test_models/test_heads/test_dm_head.py | vietawake/mmSegmentation | 1f643d6d81708ebf5726c48f66d02c70fe99fe00 | [
"Apache-2.0"
] | null | null | null | tests/test_models/test_heads/test_dm_head.py | vietawake/mmSegmentation | 1f643d6d81708ebf5726c48f66d02c70fe99fe00 | [
"Apache-2.0"
] | null | null | null | tests/test_models/test_heads/test_dm_head.py | vietawake/mmSegmentation | 1f643d6d81708ebf5726c48f66d02c70fe99fe00 | [
"Apache-2.0"
] | null | null | null | import pytest
import torch
from mmseg.models.decode_heads import DMHead
from .utils import _conv_has_norm, to_cuda
def test_dm_head():
with pytest.raises(AssertionError):
# filter_sizes must be list|tuple
DMHead(in_channels=32, channels=16, num_classes=19, filter_sizes=1)
# tes... | 30.101695 | 76 | 0.626126 |
0b193141a87e51d0625337475d90e2e59df61714 | 126 | py | Python | office365/onedrive/versions/drive_item_version.py | rikeshtailor/Office365-REST-Python-Client | ca7bfa1b22212137bb4e984c0457632163e89a43 | [
"MIT"
] | null | null | null | office365/onedrive/versions/drive_item_version.py | rikeshtailor/Office365-REST-Python-Client | ca7bfa1b22212137bb4e984c0457632163e89a43 | [
"MIT"
] | null | null | null | office365/onedrive/versions/drive_item_version.py | rikeshtailor/Office365-REST-Python-Client | ca7bfa1b22212137bb4e984c0457632163e89a43 | [
"MIT"
] | null | null | null | from office365.onedrive.versions.base_item_version import BaseItemVersion
class DriveItemVersion(BaseItemVersion):
pass
| 21 | 73 | 0.849206 |
5a70e1bcb99c4922f022512f99a8893706688a7d | 345 | py | Python | jobya/resumes/api/serializers.py | xblzbjs/Jobya | b936ce37da86bfe8326a532dab3887fae6c65e45 | [
"MIT"
] | null | null | null | jobya/resumes/api/serializers.py | xblzbjs/Jobya | b936ce37da86bfe8326a532dab3887fae6c65e45 | [
"MIT"
] | 2 | 2022-02-08T01:15:52.000Z | 2022-03-31T04:24:15.000Z | jobya/resumes/api/serializers.py | xblzbjs/Jobya | b936ce37da86bfe8326a532dab3887fae6c65e45 | [
"MIT"
] | null | null | null | from rest_framework import serializers
from jobya.resumes.models import ResumeFile
class ResumeFileSerializer(serializers.ModelSerializer):
"""Resume file serializer."""
creator = serializers.HiddenField(default=serializers.CurrentUserDefault())
class Meta:
model = ResumeFile
fields = (... | 24.642857 | 79 | 0.730435 |
f58ecf1dd5fd54e05a78919210ae3758b0e7201c | 13,126 | py | Python | etcd3gw/tests/test_etcd3gw.py | gmelikov/etcd3-gateway | 2c039f8256e666fed81fb993d3c1692dcf6e3fbc | [
"Apache-2.0"
] | null | null | null | etcd3gw/tests/test_etcd3gw.py | gmelikov/etcd3-gateway | 2c039f8256e666fed81fb993d3c1692dcf6e3fbc | [
"Apache-2.0"
] | null | null | null | etcd3gw/tests/test_etcd3gw.py | gmelikov/etcd3-gateway | 2c039f8256e666fed81fb993d3c1692dcf6e3fbc | [
"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... | 33.742931 | 78 | 0.598659 |
4126f1a0f0b97bc4caf47f351842b2fc9b17e67a | 11,890 | py | Python | src/demo.py | devanshamin/Vault-Plus | 67ef8bab0278977bb5d2e9fd4e6328ef120b47c7 | [
"MIT"
] | null | null | null | src/demo.py | devanshamin/Vault-Plus | 67ef8bab0278977bb5d2e9fd4e6328ef120b47c7 | [
"MIT"
] | null | null | null | src/demo.py | devanshamin/Vault-Plus | 67ef8bab0278977bb5d2e9fd4e6328ef120b47c7 | [
"MIT"
] | null | null | null | from PyQt5 import QtCore, QtGui, QtWidgets
import src.images
class Demo(object):
"""Display sequence demo GUI to the user."""
def setupUi(self, Form: QtWidgets.QWidget) -> None:
"""Creates the widget objects in the proper containers and assigns the proper object names to them.
Args:
... | 169.857143 | 1,046 | 0.639697 |
27d23a362cea09ad1e6a3879b8bcbf637c25935a | 2,158 | py | Python | epytope/Data/pssms/tepitopepan/mat/DRB1_0130_9.py | christopher-mohr/epytope | 8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd | [
"BSD-3-Clause"
] | 7 | 2021-02-01T18:11:28.000Z | 2022-01-31T19:14:07.000Z | epytope/Data/pssms/tepitopepan/mat/DRB1_0130_9.py | christopher-mohr/epytope | 8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd | [
"BSD-3-Clause"
] | 22 | 2021-01-02T15:25:23.000Z | 2022-03-14T11:32:53.000Z | epytope/Data/pssms/tepitopepan/mat/DRB1_0130_9.py | christopher-mohr/epytope | 8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd | [
"BSD-3-Clause"
] | 4 | 2021-05-28T08:50:38.000Z | 2022-03-14T11:45:32.000Z | DRB1_0130_9 = {0: {'A': -999.0, 'E': -999.0, 'D': -999.0, 'G': -999.0, 'F': -0.004754, 'I': -0.99525, 'H': -999.0, 'K': -999.0, 'M': -0.99525, 'L': -0.99525, 'N': -999.0, 'Q': -999.0, 'P': -999.0, 'S': -999.0, 'R': -999.0, 'T': -999.0, 'W': -0.004754, 'V': -0.99525, 'Y': -0.004754}, 1: {'A': 0.0, 'E': 0.1, 'D': -1.3, '... | 2,158 | 2,158 | 0.392493 |
63770fe47f11f71a1ca61210794c203ba1736cb1 | 651 | py | Python | moksha/api/widgets/layout/__init__.py | lmacken/moksha | b75325b8fd0fb3ea2d393ddb81c27f32ae7e0b96 | [
"Apache-2.0"
] | 1 | 2019-06-27T11:36:50.000Z | 2019-06-27T11:36:50.000Z | moksha/api/widgets/layout/__init__.py | lmacken/moksha | b75325b8fd0fb3ea2d393ddb81c27f32ae7e0b96 | [
"Apache-2.0"
] | null | null | null | moksha/api/widgets/layout/__init__.py | lmacken/moksha | b75325b8fd0fb3ea2d393ddb81c27f32ae7e0b96 | [
"Apache-2.0"
] | null | null | null | # This file is part of Moksha.
# Copyright (C) 2008-2010 Red Hat, 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 ... | 38.294118 | 74 | 0.757296 |
6fa4c27e397e9549849e81c867909fb04b954d81 | 4,840 | py | Python | smc-monitoring/smc_monitoring/pubsub/subscribers.py | gabstopper/smc-python | 54386c8a710727cc1acf69334a57b155d2f5408c | [
"Apache-2.0"
] | 30 | 2016-09-01T03:48:04.000Z | 2021-06-23T19:44:05.000Z | smc-monitoring/smc_monitoring/pubsub/subscribers.py | ad1rie1/smc-python | 51788783ce14dbeb4e5c90d7f5bba5d9720dcc0e | [
"Apache-2.0"
] | 75 | 2017-04-22T10:56:37.000Z | 2021-12-01T05:13:08.000Z | smc-monitoring/smc_monitoring/pubsub/subscribers.py | ad1rie1/smc-python | 51788783ce14dbeb4e5c90d7f5bba5d9720dcc0e | [
"Apache-2.0"
] | 16 | 2016-05-09T16:56:00.000Z | 2020-07-06T11:11:46.000Z | '''
Created on Sep 24, 2017
@author: davidlepage
'''
from smc.base.model import Element
from smc_monitoring.wsocket import SMCSocketProtocol
EVENT_ACTIONS = set(['create', 'update', 'delete', 'trashed', 'untrashed', 'validating', 'validated'])
class Notification(object):
"""
Subscribe to notificatio... | 36.946565 | 102 | 0.635124 |
782c84f22717051854ffb17b596e585ee36381bd | 1,286 | py | Python | sff2018.py | THREDgroup/AMnet | 4f269c7a09d39051524e29e6e1f7a70169b7ff64 | [
"MIT"
] | 1 | 2019-03-24T10:49:23.000Z | 2019-03-24T10:49:23.000Z | sff2018.py | THREDgroup/AMnet | 4f269c7a09d39051524e29e6e1f7a70169b7ff64 | [
"MIT"
] | null | null | null | sff2018.py | THREDgroup/AMnet | 4f269c7a09d39051524e29e6e1f7a70169b7ff64 | [
"MIT"
] | null | null | null | import AMnet
PRE_PROCESS = not True
TRAIN = not True
EXAMPLES = True
QUICK = False
# Set variables
# latent_dims = [pow(2, y) for y in range(1, 8)]
latent_dims = [8]
example_size = (3, 3)
if PRE_PROCESS:
AMnet.preprocessing.extract_data('050')
AMnet.preprocessing.augment_data()
# Train all the models
if TRA... | 33.842105 | 141 | 0.738725 |
1bdcbb86f85db9e3c750e715b6512afbec301a16 | 24,395 | py | Python | python/ray/autoscaler/_private/cli_logger.py | superkirill/ray | ea1d081aac68be586ee1ed48bbbcfa6e09d34cb0 | [
"Apache-2.0"
] | 1 | 2021-01-16T07:09:02.000Z | 2021-01-16T07:09:02.000Z | python/ray/autoscaler/_private/cli_logger.py | superkirill/ray | ea1d081aac68be586ee1ed48bbbcfa6e09d34cb0 | [
"Apache-2.0"
] | 105 | 2021-02-13T08:05:09.000Z | 2022-03-30T03:53:22.000Z | python/ray/autoscaler/_private/cli_logger.py | pdames/ray | 655cc584a983cf5e281e1ba79945af92d7f8100a | [
"Apache-2.0"
] | null | null | null | """Logger implementing the Command Line Interface.
A replacement for the standard Python `logging` API
designed for implementing a better CLI UX for the cluster launcher.
Supports color, bold text, italics, underlines, etc.
(depending on TTY features)
as well as indentation and other structured output.
"""
from conte... | 31.315789 | 79 | 0.561468 |
baf4c4e13ff75aaadde000b076f43f21e338ec51 | 2,624 | py | Python | reproducibility_project/src/proteins/merP2.py | GregorySchwing/reproducibility_study | 6926840748b84395cf592c619d6ae6025c41a639 | [
"MIT"
] | null | null | null | reproducibility_project/src/proteins/merP2.py | GregorySchwing/reproducibility_study | 6926840748b84395cf592c619d6ae6025c41a639 | [
"MIT"
] | null | null | null | reproducibility_project/src/proteins/merP2.py | GregorySchwing/reproducibility_study | 6926840748b84395cf592c619d6ae6025c41a639 | [
"MIT"
] | null | null | null | from numpy import zeros
import numpy as np
import pandas as pd
from parmed.charmm import CharmmPsfFile
from parmed.formats.registry import load_file
#sel = Select()
#ResiduesToStrip = sel.getBoolArray(pos2comb, "same residue as (exwithin 2.4 of protein)")
solvbox2 = CharmmPsfFile("mosdef_box_0.psf")
solvbox2_pos = lo... | 32 | 102 | 0.769055 |
5460d9c277f447f23f8c4f1ee9a33de08cfbf1d2 | 13,414 | py | Python | rllib/utils/test_utils.py | lavanyashukla/ray | 9c1a75b6ff82a842131e6beb3c260188befc21df | [
"Apache-2.0"
] | 1 | 2021-09-11T08:04:34.000Z | 2021-09-11T08:04:34.000Z | rllib/utils/test_utils.py | lavanyashukla/ray | 9c1a75b6ff82a842131e6beb3c260188befc21df | [
"Apache-2.0"
] | 6 | 2022-03-18T14:06:24.000Z | 2022-03-26T07:13:16.000Z | rllib/utils/test_utils.py | lavanyashukla/ray | 9c1a75b6ff82a842131e6beb3c260188befc21df | [
"Apache-2.0"
] | 1 | 2020-12-12T13:59:22.000Z | 2020-12-12T13:59:22.000Z | import gym
import logging
import numpy as np
from ray.rllib.utils.framework import try_import_jax, try_import_tf, \
try_import_torch
jax, flax = try_import_jax()
tf1, tf, tfv = try_import_tf()
if tf1:
eager_mode = None
try:
from tensorflow.python.eager.context import eager_mode
except (ImportE... | 38.107955 | 79 | 0.528701 |
b4bc9e859b1d0ee15d8a188895b0113f63fa28bf | 1,610 | py | Python | internal/notes/builtin-SAVE/packages/py-pyminifier/package.py | HPCToolkit/hpctest | 5ff4455582bf39e75530a31badcf6142081b386b | [
"BSD-3-Clause"
] | 1 | 2019-01-17T20:07:19.000Z | 2019-01-17T20:07:19.000Z | internal/notes/builtin-SAVE/packages/py-pyminifier/package.py | HPCToolkit/hpctest | 5ff4455582bf39e75530a31badcf6142081b386b | [
"BSD-3-Clause"
] | null | null | null | internal/notes/builtin-SAVE/packages/py-pyminifier/package.py | HPCToolkit/hpctest | 5ff4455582bf39e75530a31badcf6142081b386b | [
"BSD-3-Clause"
] | 2 | 2019-08-06T18:13:57.000Z | 2021-11-05T18:19:49.000Z | ##############################################################################
# Copyright (c) 2013-2017, Lawrence Livermore National Security, LLC.
# Produced at the Lawrence Livermore National Laboratory.
#
# This file is part of Spack.
# Created by Todd Gamblin, tgamblin@llnl.gov, All rights reserved.
# LLNL-CODE-64... | 43.513514 | 83 | 0.679503 |
aaf341d7edd8c41a02ea47d9e5690fe8a70c5bdc | 77,740 | py | Python | lib/galaxy/managers/workflows.py | dlal-group/galaxy | 743fd76e9120fd5e6466e81cc11fa008911ae304 | [
"CC-BY-3.0"
] | null | null | null | lib/galaxy/managers/workflows.py | dlal-group/galaxy | 743fd76e9120fd5e6466e81cc11fa008911ae304 | [
"CC-BY-3.0"
] | null | null | null | lib/galaxy/managers/workflows.py | dlal-group/galaxy | 743fd76e9120fd5e6466e81cc11fa008911ae304 | [
"CC-BY-3.0"
] | null | null | null | import json
import logging
import os
import uuid
from collections import namedtuple
from typing import (
Dict,
List,
Optional,
)
from gxformat2 import (
from_galaxy_native,
ImporterGalaxyInterface,
ImportOptions,
python_to_workflow,
)
from pydantic import BaseModel
from sqlalchemy import an... | 49.233692 | 165 | 0.621353 |
88eff180016c575cb04a75703ec05c7041cd078b | 1,332 | py | Python | code/strategies/LeNet1Classifier.py | superb20/MNIST-benchmark | 5c4a566b3333ef6cbf00e3b3db71f5000254aeda | [
"MIT"
] | 1 | 2022-02-08T07:22:46.000Z | 2022-02-08T07:22:46.000Z | code/strategies/LeNet1Classifier.py | superb20/MNIST-benchmark | 5c4a566b3333ef6cbf00e3b3db71f5000254aeda | [
"MIT"
] | null | null | null | code/strategies/LeNet1Classifier.py | superb20/MNIST-benchmark | 5c4a566b3333ef6cbf00e3b3db71f5000254aeda | [
"MIT"
] | null | null | null | from strategies.AbstractMnistStrategy import AbstractMnistStrategy
from keras.models import Sequential
from keras.layers import Dense
from keras.layers.core import Flatten
from keras.layers.convolutional import Conv2D
from keras.layers.convolutional import AveragePooling2D
class LeNet1Classifier(AbstractMn... | 33.3 | 84 | 0.635886 |
b8f73c5be122fd00e55f5863dbdff667a966f092 | 1,496 | py | Python | Graphs/graph.py | jeff-lund/CS350 | 7227b53275c62d45e899a531136a96a866c32a16 | [
"MIT"
] | 2 | 2019-10-16T01:59:42.000Z | 2019-11-13T19:25:00.000Z | Graphs/graph.py | jeff-lund/CS350 | 7227b53275c62d45e899a531136a96a866c32a16 | [
"MIT"
] | null | null | null | Graphs/graph.py | jeff-lund/CS350 | 7227b53275c62d45e899a531136a96a866c32a16 | [
"MIT"
] | 2 | 2019-10-16T01:59:49.000Z | 2019-11-15T01:19:18.000Z | import random
from sys import argv
class Vertex:
def __init__(self, animal):
self.animal = animal
self.edges = []
def dfs(V):
stack = [0]
processed = []
marked = [False] * len(V)
while stack:
s = stack.pop()
if not marked[s]:
print(V[s].animal, "|", end=... | 21.070423 | 67 | 0.537433 |
c948c0becaa17f86157c81e8392aac0ea071ba3b | 3,409 | py | Python | naoqi_apps/nodes/naoqi_listening_movement.py | chaotic-bruno/naoqi_bridge | 7543857da53e845c34d5336565a2890609ff3809 | [
"BSD-3-Clause"
] | 31 | 2015-02-14T15:56:44.000Z | 2022-01-13T06:38:13.000Z | naoqi_apps/nodes/naoqi_listening_movement.py | chaotic-bruno/naoqi_bridge | 7543857da53e845c34d5336565a2890609ff3809 | [
"BSD-3-Clause"
] | 59 | 2015-01-22T14:23:32.000Z | 2020-04-13T11:51:00.000Z | naoqi_apps/nodes/naoqi_listening_movement.py | chaotic-bruno/naoqi_bridge | 7543857da53e845c34d5336565a2890609ff3809 | [
"BSD-3-Clause"
] | 37 | 2015-01-22T22:18:25.000Z | 2021-07-17T06:49:04.000Z | #!/usr/bin/env python
#
# Copyright 2016 Aldebaran
#
# Licensed under the Apache License, Version 2.0 (the "Lice... | 44.272727 | 160 | 0.542681 |
c03d9e64d7173ab0b77e6cb9076308c92a5d288c | 612 | py | Python | examples/xsdprimer/demo.py | thorstenb/pyxb | 634e86f61dfb73a2900f32fc3d819e9c25365a49 | [
"Apache-2.0"
] | null | null | null | examples/xsdprimer/demo.py | thorstenb/pyxb | 634e86f61dfb73a2900f32fc3d819e9c25365a49 | [
"Apache-2.0"
] | null | null | null | examples/xsdprimer/demo.py | thorstenb/pyxb | 634e86f61dfb73a2900f32fc3d819e9c25365a49 | [
"Apache-2.0"
] | null | null | null | import pyxb
import ipo
import xml.dom.minidom
import time
xml_text = file('ipo.xml').read()
order = ipo.CreateFromDOM(xml.dom.minidom.parseString(xml_text).documentElement)
print '%s is sending %s %d thing(s):' % (order.billTo().name(), order.shipTo().name(), len(order.items().item()))
for item in order.items().item... | 29.142857 | 113 | 0.683007 |
33ae362acd5b4b6e065318e6b18a442978ee0d67 | 7,135 | py | Python | configs/example/se_alpha.py | pnkfb9/gem5_priority | fbf766277df78a470758cf7d798d12fb1e7c51c4 | [
"BSD-3-Clause"
] | null | null | null | configs/example/se_alpha.py | pnkfb9/gem5_priority | fbf766277df78a470758cf7d798d12fb1e7c51c4 | [
"BSD-3-Clause"
] | null | null | null | configs/example/se_alpha.py | pnkfb9/gem5_priority | fbf766277df78a470758cf7d798d12fb1e7c51c4 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2012 ARM Limited
# All rights reserved.
#
# The license below extends only to copyright in the software and shall
# not be construed as granting a license to any other intellectual
# property including but not limited to intellectual property relating
# to a hardware implementation of the functionality ... | 33.815166 | 100 | 0.688718 |
56664ded03640b5537716b5cb09bf03f97fc470a | 715 | py | Python | crack-data-structures-and-algorithms/leetcode/python-impl/reverse_integer_q7.py | Watch-Later/Eureka | 3065e76d5bf8b37d5de4f9ee75b2714a42dd4c35 | [
"MIT"
] | 20 | 2016-05-16T11:09:04.000Z | 2021-12-08T09:30:33.000Z | crack-data-structures-and-algorithms/leetcode/python-impl/reverse_integer_q7.py | Watch-Later/Eureka | 3065e76d5bf8b37d5de4f9ee75b2714a42dd4c35 | [
"MIT"
] | 1 | 2018-12-30T09:55:31.000Z | 2018-12-30T14:08:30.000Z | crack-data-structures-and-algorithms/leetcode/python-impl/reverse_integer_q7.py | Watch-Later/Eureka | 3065e76d5bf8b37d5de4f9ee75b2714a42dd4c35 | [
"MIT"
] | 11 | 2016-05-02T09:17:12.000Z | 2021-12-08T09:30:35.000Z | # 核心思路
# 对于负数，需要首先转换成正数，否则默认floor取整的除法会导致 -1 / 10 = -1这种情况的出现
# 再注意一下初始val=0的更新条件
class Solution(object):
def reverse(self, x):
"""
:type x: int
:rtype: int
"""
val = 0
sign = False
if x < 0:
sign = True
x = -x
while x != 0:
... | 19.324324 | 54 | 0.379021 |
33e273db18dd1f2c3c8e69db9af018e407300409 | 10,788 | py | Python | src/sdk/pynni/nni/networkmorphism_tuner/networkmorphism_tuner.py | egg-west/nni | e3332641fd2805fd789edf0215a538e38142bfca | [
"MIT"
] | 3 | 2019-01-27T02:00:46.000Z | 2019-01-27T02:07:04.000Z | src/sdk/pynni/nni/networkmorphism_tuner/networkmorphism_tuner.py | huxiaozheng/nni | 6bc12de061a371145a25e16b51d61f837b9e2a12 | [
"MIT"
] | null | null | null | src/sdk/pynni/nni/networkmorphism_tuner/networkmorphism_tuner.py | huxiaozheng/nni | 6bc12de061a371145a25e16b51d61f837b9e2a12 | [
"MIT"
] | 1 | 2019-04-25T08:46:01.000Z | 2019-04-25T08:46:01.000Z | # Copyright (c) Microsoft Corporation. All rights reserved.
#
# MIT License
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and
# associated documentation files (the "Software"), to deal in the Software without restriction,
# including without limitation the rights to u... | 39.372263 | 111 | 0.631164 |
8d5e16ebccfc91251156bd4a40d8d87af5b6ec0b | 1,850 | py | Python | torch_geometric/nn/resolver.py | rusty1s/pytorch-geometric | ded9a7b10ad8ebc19c97e567c7bb1ae6605253db | [
"MIT"
] | null | null | null | torch_geometric/nn/resolver.py | rusty1s/pytorch-geometric | ded9a7b10ad8ebc19c97e567c7bb1ae6605253db | [
"MIT"
] | null | null | null | torch_geometric/nn/resolver.py | rusty1s/pytorch-geometric | ded9a7b10ad8ebc19c97e567c7bb1ae6605253db | [
"MIT"
] | null | null | null | import inspect
from typing import Any, List, Optional, Union
from torch import Tensor
def normalize_string(s: str) -> str:
return s.lower().replace('-', '').replace('_', '').replace(' ', '')
def resolver(classes: List[Any], query: Union[Any, str],
base_cls: Optional[Any], *args, **kwargs):
if... | 28.90625 | 79 | 0.592432 |
5e00a320860c3c2fea67dd308ddc75d52c452c08 | 368 | py | Python | tests/base_test_case.py | ANCPLabOldenburg/ancp-bids | 82834b5bd0e9f21e8c740a366d14601e0d90b586 | [
"MIT"
] | 2 | 2021-08-09T18:11:36.000Z | 2022-03-08T14:10:26.000Z | tests/base_test_case.py | ANCPLabOldenburg/ancp-bids | 82834b5bd0e9f21e8c740a366d14601e0d90b586 | [
"MIT"
] | 41 | 2021-08-19T08:36:54.000Z | 2022-03-31T14:50:00.000Z | tests/base_test_case.py | ANCPLabOldenburg/ancp-bids | 82834b5bd0e9f21e8c740a366d14601e0d90b586 | [
"MIT"
] | 2 | 2021-09-07T14:37:25.000Z | 2022-02-23T15:56:19.000Z | import os
import unittest
TEST_FOLDER = os.path.dirname(__file__)
RESOURCES_FOLDER = TEST_FOLDER + "/data"
DS005_DIR = RESOURCES_FOLDER + "/ds005"
DS005_CONFLICT_DIR = RESOURCES_FOLDER + "/ds005_conflict"
SYNTHETIC_DIR = RESOURCES_FOLDER + "/synthetic"
ENTITIES_DIR = RESOURCES_FOLDER + "/ds005_entities_validation"
... | 24.533333 | 62 | 0.790761 |
a2003ace7b6962408d47764f09e1a9d58d26a6bb | 3,496 | py | Python | Latest/venv/Lib/site-packages/pyface/tests/test_image_resource.py | adamcvj/SatelliteTracker | 49a8f26804422fdad6f330a5548e9f283d84a55d | [
"Apache-2.0"
] | 1 | 2022-01-09T20:04:31.000Z | 2022-01-09T20:04:31.000Z | Latest/venv/Lib/site-packages/pyface/tests/test_image_resource.py | adamcvj/SatelliteTracker | 49a8f26804422fdad6f330a5548e9f283d84a55d | [
"Apache-2.0"
] | 1 | 2022-02-15T12:01:57.000Z | 2022-03-24T19:48:47.000Z | Latest/venv/Lib/site-packages/pyface/tests/test_image_resource.py | adamcvj/SatelliteTracker | 49a8f26804422fdad6f330a5548e9f283d84a55d | [
"Apache-2.0"
] | null | null | null | from __future__ import absolute_import
import os
import platform
import pkg_resources
import unittest
import pyface
import pyface.tests
from ..image_resource import ImageResource
from ..toolkit import toolkit_object
is_qt = toolkit_object.toolkit == 'qt4'
if is_qt:
from pyface.qt import qt_api
is_pyqt4_windows ... | 37.191489 | 90 | 0.697082 |
8b1dc9e88731e2d8f90ac0e3796216cc4ddfeb67 | 371 | py | Python | aliyun/api/rest/Ecs20140526JoinSecurityGroupRequest.py | snowyxx/aliyun-python-demo | ed40887ddff440b85b77f9b2a1fcda11cca55c8b | [
"Apache-2.0"
] | null | null | null | aliyun/api/rest/Ecs20140526JoinSecurityGroupRequest.py | snowyxx/aliyun-python-demo | ed40887ddff440b85b77f9b2a1fcda11cca55c8b | [
"Apache-2.0"
] | null | null | null | aliyun/api/rest/Ecs20140526JoinSecurityGroupRequest.py | snowyxx/aliyun-python-demo | ed40887ddff440b85b77f9b2a1fcda11cca55c8b | [
"Apache-2.0"
] | null | null | null | '''
Created by auto_sdk on 2015.10.09
'''
from aliyun.api.base import RestApi
class Ecs20140526JoinSecurityGroupRequest(RestApi):
def __init__(self,domain='ecs.aliyuncs.com',port=80):
RestApi.__init__(self,domain, port)
self.InstanceId = None
self.SecurityGroupId = None
def getapiname(self):
retur... | 28.538462 | 57 | 0.746631 |
4e7ff042a474814dd53e57bfa5f8fca6ca163ad3 | 1,459 | py | Python | backend/server/apps/ml/income_classifier/random_forest.py | vermicelli/ml_service | 020cc6ab38b9173f9ed8c1bcc7127619dc1a630e | [
"MIT"
] | null | null | null | backend/server/apps/ml/income_classifier/random_forest.py | vermicelli/ml_service | 020cc6ab38b9173f9ed8c1bcc7127619dc1a630e | [
"MIT"
] | null | null | null | backend/server/apps/ml/income_classifier/random_forest.py | vermicelli/ml_service | 020cc6ab38b9173f9ed8c1bcc7127619dc1a630e | [
"MIT"
] | null | null | null | import joblib
import pandas as pd
class RandomForestClassifier:
def __init__(self):
path_to_artifacts = '../../research/'
self.values_fill_missing = joblib.load(path_to_artifacts + 'train_mode.joblib')
self.encoders = joblib.load(path_to_artifacts + 'encoders.joblib')
self.model = ... | 36.475 | 130 | 0.650446 |
44e212a206efb8db2c2b28469a436013ace0d7c6 | 22,433 | py | Python | tests/supv/test_nn.py | hericlesme/touvlo | 6034846d8f5c3c82c0e86421a75667d327112e32 | [
"MIT"
] | null | null | null | tests/supv/test_nn.py | hericlesme/touvlo | 6034846d8f5c3c82c0e86421a75667d327112e32 | [
"MIT"
] | null | null | null | tests/supv/test_nn.py | hericlesme/touvlo | 6034846d8f5c3c82c0e86421a75667d327112e32 | [
"MIT"
] | null | null | null | import pytest
from numpy import array, append, empty, zeros, int64
from numpy.testing import assert_allclose
from touvlo.supv.nn import (feed_forward, init_nn_weights, back_propagation,
cost_function, grad, unravel_params)
class TestNeuralNetwork:
@pytest.fixture(scope="module")
... | 38.878683 | 79 | 0.478937 |
3f14b122d3244cfa02127cd54072aad70f06d37e | 1,096 | py | Python | tg_bot/modules/helper_funcs/filters.py | lucaubot4/h | ca6fd12c1f6a3ba95c27624f816165f65db6003d | [
"MIT"
] | 2 | 2021-03-06T13:32:12.000Z | 2021-04-22T02:17:44.000Z | tg_bot/modules/helper_funcs/filters.py | lucaubot4/h | ca6fd12c1f6a3ba95c27624f816165f65db6003d | [
"MIT"
] | null | null | null | tg_bot/modules/helper_funcs/filters.py | lucaubot4/h | ca6fd12c1f6a3ba95c27624f816165f65db6003d | [
"MIT"
] | 6 | 2020-09-22T07:04:40.000Z | 2021-12-02T16:14:30.000Z | from telegram import Message
from telegram.ext import BaseFilter
from tg_bot import SUPPORT_USERS, SUDO_USERS
class CustomFilters(object):
class _Supporters(BaseFilter):
def filter(self, message: Message):
return bool(message.from_user and message.from_user.id in SUPPORT_USERS)
support_f... | 31.314286 | 110 | 0.695255 |
dcb37678f34a90ee52423e28b2d7684ad746dc83 | 882 | py | Python | python3.4Smartforest/lib/python3.4/site-packages/django/contrib/gis/geoip/__init__.py | letouriste001/SmartForest_2.0 | 109b78bf1e8c8404800f377ab969395ccbb617be | [
"MIT"
] | null | null | null | python3.4Smartforest/lib/python3.4/site-packages/django/contrib/gis/geoip/__init__.py | letouriste001/SmartForest_2.0 | 109b78bf1e8c8404800f377ab969395ccbb617be | [
"MIT"
] | null | null | null | python3.4Smartforest/lib/python3.4/site-packages/django/contrib/gis/geoip/__init__.py | letouriste001/SmartForest_2.0 | 109b78bf1e8c8404800f377ab969395ccbb617be | [
"MIT"
] | null | null | null | """
This module houses the GeoIP object, a ctypes wrapper for the MaxMind GeoIP(R)
C API (http://www.maxmind.com/app/c). This is an alternative to the GPL
licensed Python GeoIP interface provided by MaxMind.
GeoIP(R) is a registered trademark of MaxMind, LLC of Boston, Massachusetts.
For IP-based geolocation, t... | 882 | 882 | 0.752834 |
aa7964bf6a01529a148754af226dab48d26bc84e | 4,249 | py | Python | ansible/my_env/lib/python2.7/site-packages/ansible/plugins/action/sros_config.py | otus-devops-2019-02/yyashkin_infra | 0cd0c003884155ac922e3e301305ac202de7028c | [
"MIT"
] | null | null | null | ansible/my_env/lib/python2.7/site-packages/ansible/plugins/action/sros_config.py | otus-devops-2019-02/yyashkin_infra | 0cd0c003884155ac922e3e301305ac202de7028c | [
"MIT"
] | null | null | null | ansible/my_env/lib/python2.7/site-packages/ansible/plugins/action/sros_config.py | otus-devops-2019-02/yyashkin_infra | 0cd0c003884155ac922e3e301305ac202de7028c | [
"MIT"
] | null | null | null | #
# Copyright 2016 Peter Sprygada <psprygada@ansible.com>
#
# 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... | 37.27193 | 85 | 0.644387 |
d07af8bbc5bf70a6406688522d4cbafa4a4b570f | 3,507 | py | Python | zerver/views/presence.py | isijara/zulip | 403f4dafcc71369f3b1143b9f7073cd5d76bf357 | [
"Apache-2.0"
] | 1 | 2019-04-14T20:31:55.000Z | 2019-04-14T20:31:55.000Z | zerver/views/presence.py | hcxiong/zulip | bf22eefedebd50b25f32b22988217c13a89b65d1 | [
"Apache-2.0"
] | 7 | 2020-09-06T14:54:30.000Z | 2022-02-10T18:51:14.000Z | zerver/views/presence.py | hcxiong/zulip | bf22eefedebd50b25f32b22988217c13a89b65d1 | [
"Apache-2.0"
] | 9 | 2019-11-04T18:59:29.000Z | 2022-03-22T17:46:37.000Z |
import datetime
import time
from django.conf import settings
from typing import Any, Dict
from django.http import HttpRequest, HttpResponse
from django.utils.timezone import now as timezone_now
from django.utils.translation import ugettext as _
from zerver.decorator import human_users_only
from zerver.lib.actions i... | 42.768293 | 95 | 0.678358 |
0bd8a9d286f451cc212881e401eafba5f47f6ab5 | 560 | py | Python | tests/plugins/linkedin_message_plugin.py | Yahalis/dcm-excercise | 5efa3de21ce230bcacd8043887287de31d02e448 | [
"MIT"
] | null | null | null | tests/plugins/linkedin_message_plugin.py | Yahalis/dcm-excercise | 5efa3de21ce230bcacd8043887287de31d02e448 | [
"MIT"
] | null | null | null | tests/plugins/linkedin_message_plugin.py | Yahalis/dcm-excercise | 5efa3de21ce230bcacd8043887287de31d02e448 | [
"MIT"
] | null | null | null | """
LinekdIn message plugin
"""
from dynamic_campaign import TemplatManager
from dynamic_campaign import DCMPlugin
class LinkedinMessagePlugin(DCMPlugin):
name='linkedin_message'
def __init__(self):
self.tm = TemplatManager()
def exceute(self, context: dict) -> None:
print('Inside linkedin... | 32.941176 | 87 | 0.710714 |
3315a84f4981f25794dea017ffb606f4d3bac879 | 794 | py | Python | setup.py | fraunhoferportugal/tssearch | a063c95677d4066c64fea419f6c9641c9eb70263 | [
"BSD-3-Clause"
] | 11 | 2021-11-11T15:21:14.000Z | 2022-03-31T23:28:34.000Z | setup.py | fraunhoferportugal/tssearch | a063c95677d4066c64fea419f6c9641c9eb70263 | [
"BSD-3-Clause"
] | 1 | 2022-01-23T02:36:02.000Z | 2022-01-24T17:13:32.000Z | setup.py | fraunhoferportugal/tssearch | a063c95677d4066c64fea419f6c9641c9eb70263 | [
"BSD-3-Clause"
] | 5 | 2021-12-13T21:46:36.000Z | 2022-03-31T23:29:36.000Z | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="tssearch",
version="0.1.3",
author="Fraunhofer Portugal",
description="Library for time series subsequence search",
long_description=long_description,
long_description_content_type="t... | 33.083333 | 98 | 0.68262 |
2893d5c1c6d034e8151bd357cb55dcb4bd23ee7f | 2,316 | py | Python | tests/conda_env/specs/test_base.py | cswartzvi/conda | b2e0ed6b6119b7623d8f64c47d4d04f56e9cf137 | [
"BSD-3-Clause"
] | null | null | null | tests/conda_env/specs/test_base.py | cswartzvi/conda | b2e0ed6b6119b7623d8f64c47d4d04f56e9cf137 | [
"BSD-3-Clause"
] | null | null | null | tests/conda_env/specs/test_base.py | cswartzvi/conda | b2e0ed6b6119b7623d8f64c47d4d04f56e9cf137 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (C) 2012 Anaconda, Inc
# SPDX-License-Identifier: BSD-3-Clause
from contextlib import contextmanager
import random
import types
import unittest
try:
from unittest import mock
except ImportError:
import mock
from conda.exceptions import SpecNotFound
from conda_env import spe... | 30.473684 | 88 | 0.686528 |
5773abb32fb348309f396830b03fddb33807a39e | 144 | py | Python | src/coupons/urls.py | cbsBiram/xarala__ssr | 863e1362c786daa752b942b796f7a015211d2f1b | [
"FSFAP"
] | null | null | null | src/coupons/urls.py | cbsBiram/xarala__ssr | 863e1362c786daa752b942b796f7a015211d2f1b | [
"FSFAP"
] | null | null | null | src/coupons/urls.py | cbsBiram/xarala__ssr | 863e1362c786daa752b942b796f7a015211d2f1b | [
"FSFAP"
] | null | null | null | from django.urls import path
from . import views
app_name = "coupons"
urlpatterns = [
path("apply/", views.coupon_apply, name="apply"),
]
| 16 | 53 | 0.694444 |
3901cea0fd1acd88dcb7a88c000217d05841ab23 | 11,408 | py | Python | coursebuilder/modules/student_list/dashboard.py | nptel-ac-in/seek | 2bca9d64499e160b2da9bed6e97fcda712feec72 | [
"Apache-2.0"
] | null | null | null | coursebuilder/modules/student_list/dashboard.py | nptel-ac-in/seek | 2bca9d64499e160b2da9bed6e97fcda712feec72 | [
"Apache-2.0"
] | null | null | null | coursebuilder/modules/student_list/dashboard.py | nptel-ac-in/seek | 2bca9d64499e160b2da9bed6e97fcda712feec72 | [
"Apache-2.0"
] | 2 | 2020-09-29T17:04:18.000Z | 2021-05-13T07:07:04.000Z | # Copyright 2015 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | 34.361446 | 77 | 0.574947 |
22acfddcaae4f1b086c9c40f2740ef305d9148ff | 3,584 | py | Python | code/simple_acf.py | RuthAngus/M35 | 2db36d6f65c9d88e644a25de6bc65a7279f60ed7 | [
"MIT"
] | null | null | null | code/simple_acf.py | RuthAngus/M35 | 2db36d6f65c9d88e644a25de6bc65a7279f60ed7 | [
"MIT"
] | null | null | null | code/simple_acf.py | RuthAngus/M35 | 2db36d6f65c9d88e644a25de6bc65a7279f60ed7 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
import emcee
import glob
# dan's acf function
def dan_acf(x, axis=0, fast=False):
"""
Estimate the autocorrelation function of a time series using the FFT.
:param x:
The time series. If multidimensional, set the time axis using the
``axis``... | 30.632479 | 78 | 0.567522 |
06e2f4112bc777792aa7deaf4169ae49dc476394 | 220 | py | Python | weibo/test/testSpynner.py | haiboz/weiboSpider | 517cae2ef3e7bccd9e1d328a40965406707f5362 | [
"Apache-2.0"
] | null | null | null | weibo/test/testSpynner.py | haiboz/weiboSpider | 517cae2ef3e7bccd9e1d328a40965406707f5362 | [
"Apache-2.0"
] | null | null | null | weibo/test/testSpynner.py | haiboz/weiboSpider | 517cae2ef3e7bccd9e1d328a40965406707f5362 | [
"Apache-2.0"
] | null | null | null | #encoding:utf8
'''
Created on 2016年4月12日
@author: wb-zhaohaibo
'''
import spynner
browser = spynner.Browser()
browser.load("http://papers.cnki.net/shipeijun56")
html = browser.html.encode("utf-8")
print html | 18.333333 | 51 | 0.704545 |
04796f7d3e21ff06b52cc53c38368e65f3c03b64 | 4,018 | py | Python | src/python/pydetranutils/mesh_plot.py | RLReed/libdetran | 77637c788823e0a14aae7e40e476a291f6f3184b | [
"MIT"
] | null | null | null | src/python/pydetranutils/mesh_plot.py | RLReed/libdetran | 77637c788823e0a14aae7e40e476a291f6f3184b | [
"MIT"
] | null | null | null | src/python/pydetranutils/mesh_plot.py | RLReed/libdetran | 77637c788823e0a14aae7e40e476a291f6f3184b | [
"MIT"
] | null | null | null | # This provides utilities for plotting things on a
# 1D or 2D mesh or a slice of a 3D mesh.
try :
import numpy as np
except ImportError :
print "Error importing Numpy."
try :
import matplotlib.pyplot as plt
import matplotlib
except ImportError :
print "Error importing matplotlib"
def plot_mesh_functi... | 31.147287 | 105 | 0.57118 |
17fe99ca4e6fa09dbb33b8cf2c0072fd71248661 | 32,518 | py | Python | python/paddle/fluid/contrib/layers/rnn_impl.py | Thunderbrook/Paddle | 4870c9bc99c6bd3b814485d7d4f525fe68ccd9a5 | [
"Apache-2.0"
] | 1 | 2020-02-21T02:26:47.000Z | 2020-02-21T02:26:47.000Z | python/paddle/fluid/contrib/layers/rnn_impl.py | Thunderbrook/Paddle | 4870c9bc99c6bd3b814485d7d4f525fe68ccd9a5 | [
"Apache-2.0"
] | null | null | null | python/paddle/fluid/contrib/layers/rnn_impl.py | Thunderbrook/Paddle | 4870c9bc99c6bd3b814485d7d4f525fe68ccd9a5 | [
"Apache-2.0"
] | null | null | null | # 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... | 42.618611 | 118 | 0.596193 |
00adcbf7e42bd10f9ec93c82afc01d1fdd7b54e2 | 16,226 | py | Python | mcetl/functions.py | derb12/mcetl | c94904cbe41a3f793fde01e457b6c243ac7fab3b | [
"BSD-3-Clause"
] | null | null | null | mcetl/functions.py | derb12/mcetl | c94904cbe41a3f793fde01e457b6c243ac7fab3b | [
"BSD-3-Clause"
] | 1 | 2020-12-18T11:22:37.000Z | 2020-12-19T17:43:56.000Z | mcetl/functions.py | derb12/mcetl | c94904cbe41a3f793fde01e457b6c243ac7fab3b | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""Contains the classes for Functions objects.
There are three main types of Functions:
1) PreprocessFunction: preprocesses the imported data entry; for example, can
separate into multiple data entries or remove data columns.
2) CalculationFunction: performs a... | 43.269333 | 99 | 0.657648 |
b5b78870219bfe52e9277a1f3b1802bed6072091 | 32 | py | Python | pysal/viz/__init__.py | martinfleis/pysal | d2e0667d825d403efe7182ecda210dc152ec206d | [
"BSD-3-Clause"
] | 941 | 2015-01-12T22:25:55.000Z | 2022-03-27T15:41:29.000Z | pysal/viz/__init__.py | anekekarina99/pysal | bd8c954d34b4694416830a852e26fe40d64424f2 | [
"BSD-3-Clause"
] | 589 | 2015-01-09T03:58:03.000Z | 2022-02-26T02:17:15.000Z | pysal/viz/__init__.py | anekekarina99/pysal | bd8c954d34b4694416830a852e26fe40d64424f2 | [
"BSD-3-Clause"
] | 303 | 2015-01-10T02:59:04.000Z | 2022-03-05T04:21:55.000Z | import mapclassify
import splot
| 10.666667 | 18 | 0.875 |
770ccdf24a78395654968c11f3aaae2cf5f726ac | 5,519 | py | Python | contrib/seeds/makeseeds.py | WhistleAI/WhistleP2P | 4000cdab2befe7a08d10fa3e444bf92095f5f878 | [
"MIT"
] | null | null | null | contrib/seeds/makeseeds.py | WhistleAI/WhistleP2P | 4000cdab2befe7a08d10fa3e444bf92095f5f878 | [
"MIT"
] | null | null | null | contrib/seeds/makeseeds.py | WhistleAI/WhistleP2P | 4000cdab2befe7a08d10fa3e444bf92095f5f878 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2013-2017 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
#
# Generate seeds.txt from Pieter's DNS seeder
#
NSEEDS=512
MAX_SEEDS_PER_ASN=2
MIN_BLOCKS = 615801
#... | 32.087209 | 186 | 0.567313 |
8129bcca9800621e2a26743d2d501d4ac7847269 | 3,914 | py | Python | thumbor/crypto.py | enterstudio/thumbor | 2f1529604a0f5b2d6d87132b5616841842313215 | [
"MIT"
] | null | null | null | thumbor/crypto.py | enterstudio/thumbor | 2f1529604a0f5b2d6d87132b5616841842313215 | [
"MIT"
] | null | null | null | thumbor/crypto.py | enterstudio/thumbor | 2f1529604a0f5b2d6d87132b5616841842313215 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
# thumbor imaging service
# https://github.com/thumbor/thumbor/wiki
# Licensed under the MIT license:
# http://www.opensource.org/licenses/mit-license
# Copyright (c) 2011 globo.com thumbor@googlegroups.com
import base64
import hashlib
from Crypto.Cipher import AES
# Impor... | 28.362319 | 108 | 0.58048 |
8e2e4898520f8eda4475e5a461df66e130a76621 | 582 | py | Python | Finding the percentage.py | seetaram-oruganti/HackerRank-Python- | 2cf1fa562707c18bb54640f75e7ed4b440b710c0 | [
"Unlicense"
] | null | null | null | Finding the percentage.py | seetaram-oruganti/HackerRank-Python- | 2cf1fa562707c18bb54640f75e7ed4b440b710c0 | [
"Unlicense"
] | null | null | null | Finding the percentage.py | seetaram-oruganti/HackerRank-Python- | 2cf1fa562707c18bb54640f75e7ed4b440b710c0 | [
"Unlicense"
] | null | null | null | N = int(input()) # input() gets the whole line, int() converts from string to int
dictionary = {} # dictionaries appear to work the same as objects in javascript
for i in range(0, N): # don't forget the ':', necessary for all forloops in python!
inputArray = input().split()
marks = list(map(float, inputArray[1:... | 72.75 | 139 | 0.699313 |
a4cc091106b5b6d60a150f523de1d68336f7b886 | 3,712 | py | Python | dopolnyator/rest.py | s2ch/konsolechka | 05a09cb34ea1ca62db32b6fe9d8710b8d099afd7 | [
"MIT"
] | 3 | 2019-08-23T21:12:01.000Z | 2022-02-19T18:48:39.000Z | dopolnyator/rest.py | s2ch/konsolechka | 05a09cb34ea1ca62db32b6fe9d8710b8d099afd7 | [
"MIT"
] | null | null | null | dopolnyator/rest.py | s2ch/konsolechka | 05a09cb34ea1ca62db32b6fe9d8710b8d099afd7 | [
"MIT"
] | 3 | 2018-09-17T16:09:16.000Z | 2021-01-22T23:32:13.000Z | #!/usr/bin/env python3
# coding=utf-8
import torch
torch.backends.cudnn.enabled = False
torch.backends.cudnn.benchmark = False
from run_generation import sample_sequence
from yt_encoder import YTEncoder
from transformers import GPT2LMHeadModel
import threading
import regex as re
from os import environ
device = "cpu"... | 30.933333 | 143 | 0.6743 |
9f2309087fd4acd1e23aa9dfa8e605045aede4cd | 5,462 | py | Python | data scrapping/dir/scrapper.py | mszymanowicz/finBERT | d2e8059a3d736864255bcd771103e341866f62af | [
"Apache-2.0"
] | null | null | null | data scrapping/dir/scrapper.py | mszymanowicz/finBERT | d2e8059a3d736864255bcd771103e341866f62af | [
"Apache-2.0"
] | null | null | null | data scrapping/dir/scrapper.py | mszymanowicz/finBERT | d2e8059a3d736864255bcd771103e341866f62af | [
"Apache-2.0"
] | null | null | null | import os
import time
import csv
import json
import selenium.common.exceptions
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions
from selenium.webdriver.common.by import... | 40.459259 | 116 | 0.670267 |
b4d029b20f838316039903f74944211bf7c23a9f | 634 | py | Python | stickerbot/migrations/0003_auto_20160908_1805.py | Stonecoldstone/telegram-sticker-bot | 6cb9e6da99d5c270a911012805c724a56c2f2c7b | [
"MIT"
] | null | null | null | stickerbot/migrations/0003_auto_20160908_1805.py | Stonecoldstone/telegram-sticker-bot | 6cb9e6da99d5c270a911012805c724a56c2f2c7b | [
"MIT"
] | null | null | null | stickerbot/migrations/0003_auto_20160908_1805.py | Stonecoldstone/telegram-sticker-bot | 6cb9e6da99d5c270a911012805c724a56c2f2c7b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.9.7 on 2016-09-08 18:05
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('stickerbot', '0002_auto_20160908_1743'),
]
operations = [
migrations.AlterFi... | 24.384615 | 60 | 0.599369 |
07d112a3606d0dd091f892879351a4e0a3fcc01f | 1,275 | py | Python | setup.py | spaenleh/epfl-people-api | 2112ec1ab3a35dadb5ffc31369a27a2243099b3f | [
"MIT"
] | 1 | 2021-11-26T13:12:18.000Z | 2021-11-26T13:12:18.000Z | setup.py | spaenleh/epfl-people-api | 2112ec1ab3a35dadb5ffc31369a27a2243099b3f | [
"MIT"
] | null | null | null | setup.py | spaenleh/epfl-people-api | 2112ec1ab3a35dadb5ffc31369a27a2243099b3f | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import pathlib
from setuptools import setup
HERE = pathlib.Path(__file__).parent
PACKAGE_NAME = "epflpeople"
README = (HERE / "README.md").read_text()
CHANGELOG = (HERE / "CHANGELOG.md").read_text()
LONG_DESCRIPTION = README + CHANGELOG
VERSION = (HERE / PACKAGE_NAME / "VERSION").read_text().s... | 32.692308 | 91 | 0.686275 |
6824eb9fe7e16d7d9b00a135f88d44599008f7ab | 696 | py | Python | msa/actions/list_action.py | Gunmer/maven-setting-manager | a2e0eb4f18cc761844f05d5c4d83890bf36981e6 | [
"MIT"
] | 3 | 2019-01-11T11:11:50.000Z | 2022-01-29T01:50:24.000Z | msa/actions/list_action.py | Gunmer/maven-setting-manager | a2e0eb4f18cc761844f05d5c4d83890bf36981e6 | [
"MIT"
] | null | null | null | msa/actions/list_action.py | Gunmer/maven-setting-manager | a2e0eb4f18cc761844f05d5c4d83890bf36981e6 | [
"MIT"
] | null | null | null | from msa.repositories.setting_repository import SettingRepository
def execute(args):
action = ListAction(logger=args.log, config=args.config)
action.execute()
class ListAction(object):
def __init__(self, logger, config):
self.logger = logger
self.settingRepository = SettingRepository(lo... | 27.84 | 80 | 0.670977 |
993b1e3007213c5c5a631fdc70c45b8a4a43e98f | 1,119 | py | Python | cages/.shared/config_resource_cmdexec_1.py | targeted/pythomnic3k | c59f8c11302c0a568f45ec626ec6a0065527aa79 | [
"BSD-3-Clause"
] | null | null | null | cages/.shared/config_resource_cmdexec_1.py | targeted/pythomnic3k | c59f8c11302c0a568f45ec626ec6a0065527aa79 | [
"BSD-3-Clause"
] | 7 | 2019-06-06T15:47:56.000Z | 2019-06-15T18:09:30.000Z | cages/.shared/config_resource_cmdexec_1.py | targeted/pythomnic3k | c59f8c11302c0a568f45ec626ec6a0065527aa79 | [
"BSD-3-Clause"
] | null | null | null | # configuration file for resource "cmdexec_1"
#
# this file exists as a reference for configuring cmdexec resources
# and to support self-test run of module protocol_cmdexec.py
#
# copy this file to your own cage, possibly renaming into
# config_resource_YOUR_RESOURCE_NAME.py, then modify the copy
config = dict \
(
pr... | 30.243243 | 102 | 0.73101 |
ecad77e50fa89ba735784850c65b79bd1e035d8e | 10,378 | py | Python | config/settings/base.py | MOwsianowski/bootcamp | 5f6d84cb4f9db887ce239cc957f190d724832419 | [
"MIT"
] | 1,964 | 2015-01-04T15:10:40.000Z | 2022-03-29T07:24:11.000Z | config/settings/base.py | MOwsianowski/bootcamp | 5f6d84cb4f9db887ce239cc957f190d724832419 | [
"MIT"
] | 208 | 2015-01-27T12:18:30.000Z | 2021-12-15T10:48:40.000Z | config/settings/base.py | MOwsianowski/bootcamp | 5f6d84cb4f9db887ce239cc957f190d724832419 | [
"MIT"
] | 1,276 | 2015-01-05T15:11:09.000Z | 2022-03-31T16:40:18.000Z | """
Base settings to build other settings files upon.
"""
import environ
ROOT_DIR = (
environ.Path(__file__) - 3
) # (bootcamp/config/settings/base.py - 3 = bootcamp/)
APPS_DIR = ROOT_DIR.path("bootcamp")
env = environ.Env()
env.read_env(str(ROOT_DIR.path(".env")))
# READ_DOT_ENV_FILE = env.bool('DJANGO_READ_D... | 39.610687 | 93 | 0.637695 |
5185bc8a2029f5aaf6db2c1d56c617d7307f2caf | 6,749 | py | Python | Tests/Methods/Slot/test_HoleM52_meth.py | tobsen2code/pyleecan | 5b1ded9e389e0c79ed7b7c878b6e939f2d9962e9 | [
"Apache-2.0"
] | 95 | 2019-01-23T04:19:45.000Z | 2022-03-17T18:22:10.000Z | Tests/Methods/Slot/test_HoleM52_meth.py | Eomys/Pyleecan | 4d7f0cbabf0311006963e7a2f435db2ecd901118 | [
"Apache-2.0"
] | 366 | 2019-02-20T07:15:08.000Z | 2022-03-31T13:37:23.000Z | Tests/Methods/Slot/test_HoleM52_meth.py | Eomys/Pyleecan | 4d7f0cbabf0311006963e7a2f435db2ecd901118 | [
"Apache-2.0"
] | 74 | 2019-01-24T01:47:31.000Z | 2022-02-25T05:44:42.000Z | # -*- coding: utf-8 -*-
import pytest
from pyleecan.Classes.Segment import Segment
from pyleecan.Classes.SurfLine import SurfLine
from pyleecan.Classes.LamHole import LamHole
from pyleecan.Classes.HoleM52 import HoleM52
from pyleecan.Classes.Magnet import Magnet
from pyleecan.Methods.Slot.HoleM52 import S52_NoneErro... | 36.481081 | 88 | 0.615054 |
257aba6c7941b76f697aa71f5f3401b607906be0 | 2,716 | py | Python | torchvision/datasets/kinetics.py | ajabri/vision | f69847cc761937891be77e1780bc4ddea46dbe68 | [
"BSD-3-Clause"
] | 1 | 2020-09-11T20:54:46.000Z | 2020-09-11T20:54:46.000Z | torchvision/datasets/kinetics.py | ajabri/vision | f69847cc761937891be77e1780bc4ddea46dbe68 | [
"BSD-3-Clause"
] | null | null | null | torchvision/datasets/kinetics.py | ajabri/vision | f69847cc761937891be77e1780bc4ddea46dbe68 | [
"BSD-3-Clause"
] | 1 | 2020-09-11T20:54:56.000Z | 2020-09-11T20:54:56.000Z | from .video_utils import VideoClips
from .utils import list_dir
from .folder import make_dataset
from .vision import VisionDataset
class Kinetics400(VisionDataset):
"""
`Kinetics-400 <https://deepmind.com/research/open-source/open-source-datasets/kinetics/>`_
dataset.
Kinetics-400 is an action recogn... | 39.362319 | 97 | 0.671208 |
9a10434f506969214699d5c450d54b7c8cbe9026 | 602 | py | Python | imagersite/imager_images/migrations/0007_auto_20171206_2209.py | Loaye/django-imager-group | a4bdd285b8063d2553f59f2a78aaef0fcfd0c95d | [
"MIT"
] | null | null | null | imagersite/imager_images/migrations/0007_auto_20171206_2209.py | Loaye/django-imager-group | a4bdd285b8063d2553f59f2a78aaef0fcfd0c95d | [
"MIT"
] | null | null | null | imagersite/imager_images/migrations/0007_auto_20171206_2209.py | Loaye/django-imager-group | a4bdd285b8063d2553f59f2a78aaef0fcfd0c95d | [
"MIT"
] | 2 | 2017-11-29T23:33:53.000Z | 2017-12-05T22:36:09.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.7 on 2017-12-06 22:09
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('imager_images', '0006_auto... | 26.173913 | 132 | 0.674419 |
b73350ee8350aff15b2c9f9c6462343f55258850 | 185 | py | Python | pacote-download/CursoemVideo/ex083.py | pemedeiros/python-CeV | e34eebdfd6f5cf254a9ad1ce076083c735f68f28 | [
"MIT"
] | null | null | null | pacote-download/CursoemVideo/ex083.py | pemedeiros/python-CeV | e34eebdfd6f5cf254a9ad1ce076083c735f68f28 | [
"MIT"
] | null | null | null | pacote-download/CursoemVideo/ex083.py | pemedeiros/python-CeV | e34eebdfd6f5cf254a9ad1ce076083c735f68f28 | [
"MIT"
] | null | null | null | exp = input('Digite uma expressão: ')
abre = exp.count('(')
fecha = exp.count(')')
if abre == fecha:
print('Sua expressão está correta')
else:
print('Sua expressão está errada') | 26.428571 | 39 | 0.654054 |
2d9ed0ce2d0c97206367c286ab3ef231d3d9f0c9 | 29,480 | py | Python | ravenframework/Samplers/AdaptiveSparseGrid.py | dgarrett622/raven | f36cc108f7500b0e2717df4832b69b801b43960d | [
"Apache-2.0"
] | null | null | null | ravenframework/Samplers/AdaptiveSparseGrid.py | dgarrett622/raven | f36cc108f7500b0e2717df4832b69b801b43960d | [
"Apache-2.0"
] | null | null | null | ravenframework/Samplers/AdaptiveSparseGrid.py | dgarrett622/raven | f36cc108f7500b0e2717df4832b69b801b43960d | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 Battelle Energy Alliance, LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed t... | 45.564142 | 149 | 0.663942 |
ae6f1c9ab35db82b789c2b468d6e2b2114f0931e | 9,533 | py | Python | run.py | 5alt/ZeroScan | 6811ca6a03cf7d6d4cdb81498a9391e175ae6aa0 | [
"MIT"
] | 61 | 2018-01-20T05:48:56.000Z | 2020-02-06T16:16:36.000Z | run.py | 5alt/ZeroScan | 6811ca6a03cf7d6d4cdb81498a9391e175ae6aa0 | [
"MIT"
] | null | null | null | run.py | 5alt/ZeroScan | 6811ca6a03cf7d6d4cdb81498a9391e175ae6aa0 | [
"MIT"
] | 12 | 2018-05-23T05:01:28.000Z | 2020-05-26T18:25:03.000Z | #! /usr/bin/env python
from scapy.all import *
import os, sys
import subprocess
import time
import sqlite3 as db
import json
import imp
import config
import helper, tools
import subDomainsBrute.subDomainsBrute as subDomainsBrute
class subDomainsBruteOpt:
def __init__(self, domain, dictionary="subnam... | 35.047794 | 120 | 0.565614 |
2611cb4f6ebac9d86ad9f1b4a8c9487327b5c3bc | 33,939 | py | Python | nci_ndr_manager.py | therealspring/nci-ndr-analysis | 568ed607fedc331c423aa8e49f6e73fadd21e406 | [
"BSD-3-Clause"
] | null | null | null | nci_ndr_manager.py | therealspring/nci-ndr-analysis | 568ed607fedc331c423aa8e49f6e73fadd21e406 | [
"BSD-3-Clause"
] | null | null | null | nci_ndr_manager.py | therealspring/nci-ndr-analysis | 568ed607fedc331c423aa8e49f6e73fadd21e406 | [
"BSD-3-Clause"
] | null | null | null | """NCI NDR Analysis.
Design doc is available here:
https://docs.google.com/document/d/
1Iw8YxrXPSbSp5TemRo-mbfvxDiTpdCKqRrW1terp2gE/edit
"""
import argparse
import datetime
import json
import logging
import os
import pathlib
import queue
import re
import sqlite3
import subprocess
import sys
import threading
import t... | 38.787429 | 79 | 0.617638 |
f43618175910307af1ada4fdfdb2ee0f9fc1937c | 500 | py | Python | jcasts/episodes/migrations/0021_auto_20210922_1012.py | danjac/jcasts | 04f5ef1f536d51962c0433d092817c0153acb6af | [
"MIT"
] | 13 | 2021-09-17T07:41:00.000Z | 2022-02-10T10:00:48.000Z | jcasts/episodes/migrations/0021_auto_20210922_1012.py | danjac/radiofeed | 06e2b10396345f0afcf7c1dfee67c41fbff153e1 | [
"MIT"
] | 167 | 2021-07-17T09:41:38.000Z | 2021-08-31T06:03:34.000Z | jcasts/episodes/migrations/0021_auto_20210922_1012.py | danjac/jcasts | 04f5ef1f536d51962c0433d092817c0153acb6af | [
"MIT"
] | 3 | 2020-12-25T12:31:58.000Z | 2021-02-13T11:49:49.000Z | # Generated by Django 3.2.7 on 2021-09-22 10:12
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
("episodes", "0020_audiolog_unique_episodes_audiolog_is_playing"),
]
operations = [
migrations.RemoveConstraint(
model_name="audiolog",
... | 22.727273 | 74 | 0.62 |
f190beb14e1f25077739c1c51cabda4818194166 | 1,287 | py | Python | migrations/versions/873b2c69b9cd_restaurants_models_init.py | eddowh/flask-react-redux-demo | 68384efe7a4c2999c2cd947208b8f8db887fd802 | [
"Unlicense"
] | 6 | 2017-09-15T08:14:12.000Z | 2021-03-20T06:50:53.000Z | migrations/versions/873b2c69b9cd_restaurants_models_init.py | eddowh/flask-react-redux-demo | 68384efe7a4c2999c2cd947208b8f8db887fd802 | [
"Unlicense"
] | null | null | null | migrations/versions/873b2c69b9cd_restaurants_models_init.py | eddowh/flask-react-redux-demo | 68384efe7a4c2999c2cd947208b8f8db887fd802 | [
"Unlicense"
] | null | null | null | """restaurants_models_init
Revision ID: 873b2c69b9cd
Revises: None
Create Date: 2016-07-01 12:02:48.079000
"""
# revision identifiers, used by Alembic.
revision = '873b2c69b9cd'
down_revision = None
from alembic import op
import sqlalchemy as sa
def upgrade():
### commands auto generated by Alembic - please a... | 30.642857 | 80 | 0.693862 |
8e2e3dec723641ac81451c4e45067f306a10c97d | 8,331 | py | Python | core/controllers/learner_dashboard.py | gauravzqa/oppia | 52a859f251eeb8729834551bfda9f577b06f29e9 | [
"Apache-2.0"
] | null | null | null | core/controllers/learner_dashboard.py | gauravzqa/oppia | 52a859f251eeb8729834551bfda9f577b06f29e9 | [
"Apache-2.0"
] | 2 | 2018-08-14T02:17:43.000Z | 2018-08-19T17:42:28.000Z | core/controllers/learner_dashboard.py | gauravzqa/oppia | 52a859f251eeb8729834551bfda9f577b06f29e9 | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 The Oppia 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 applicable ... | 40.639024 | 103 | 0.684912 |
5f5150375b3fe397d3f4d174a540f19e5da1b944 | 264 | py | Python | tests/artificial/transf_Anscombe/trend_Lag1Trend/cycle_12/ar_/test_artificial_128_Anscombe_Lag1Trend_12__20.py | shaido987/pyaf | b9afd089557bed6b90b246d3712c481ae26a1957 | [
"BSD-3-Clause"
] | 377 | 2016-10-13T20:52:44.000Z | 2022-03-29T18:04:14.000Z | tests/artificial/transf_Anscombe/trend_Lag1Trend/cycle_12/ar_/test_artificial_128_Anscombe_Lag1Trend_12__20.py | ysdede/pyaf | b5541b8249d5a1cfdc01f27fdfd99b6580ed680b | [
"BSD-3-Clause"
] | 160 | 2016-10-13T16:11:53.000Z | 2022-03-28T04:21:34.000Z | tests/artificial/transf_Anscombe/trend_Lag1Trend/cycle_12/ar_/test_artificial_128_Anscombe_Lag1Trend_12__20.py | ysdede/pyaf | b5541b8249d5a1cfdc01f27fdfd99b6580ed680b | [
"BSD-3-Clause"
] | 63 | 2017-03-09T14:51:18.000Z | 2022-03-27T20:52:57.000Z | import pyaf.Bench.TS_datasets as tsds
import tests.artificial.process_artificial_dataset as art
art.process_dataset(N = 128 , FREQ = 'D', seed = 0, trendtype = "Lag1Trend", cycle_length = 12, transform = "Anscombe", sigma = 0.0, exog_count = 20, ar_order = 0); | 37.714286 | 164 | 0.731061 |
d087dc1822d4f501b6f24a01b4572c1172cd1573 | 2,235 | py | Python | backend/spring_dream_29705/urls.py | crowdbotics-apps/spring-dream-29705 | 034d22e956fd77c830dcfc934bc3ddde8a894aa6 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | backend/spring_dream_29705/urls.py | crowdbotics-apps/spring-dream-29705 | 034d22e956fd77c830dcfc934bc3ddde8a894aa6 | [
"FTL",
"AML",
"RSA-MD"
] | 58 | 2021-08-10T23:10:24.000Z | 2022-02-27T18:58:35.000Z | backend/spring_dream_29705/urls.py | crowdbotics-apps/spring-dream-29705 | 034d22e956fd77c830dcfc934bc3ddde8a894aa6 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | """spring_dream_29705 URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
... | 35.47619 | 87 | 0.713199 |
f16c59a91058fefabea9460d390286d731f41745 | 13,815 | py | Python | venv/lib/python3.6/site-packages/ansible_collections/dellemc/openmanage/tests/unit/plugins/modules/test_redfish_firmware.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | 1 | 2020-01-22T13:11:23.000Z | 2020-01-22T13:11:23.000Z | venv/lib/python3.6/site-packages/ansible_collections/dellemc/openmanage/tests/unit/plugins/modules/test_redfish_firmware.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | 12 | 2020-02-21T07:24:52.000Z | 2020-04-14T09:54:32.000Z | venv/lib/python3.6/site-packages/ansible_collections/dellemc/openmanage/tests/unit/plugins/modules/test_redfish_firmware.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Dell EMC OpenManage Ansible Modules
# Version 3.0.0
# Copyright (C) 2020 Dell Inc. or its subsidiaries. All Rights Reserved.
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
#
from __future__ import (absolute_import, division, print_function)
i... | 50.790441 | 117 | 0.608107 |
44056d28b1c71c60f01522fbf933323d8551cef3 | 5,582 | py | Python | tabular_ml_toolkit/do_oof_kfold_train_preds.py | psmathur/tabular_ml_toolkit | 46bd88abc398aeb5c7024c5b24c7a7ea9b3b5fb1 | [
"Apache-2.0"
] | 1 | 2021-11-07T04:50:26.000Z | 2021-11-07T04:50:26.000Z | tabular_ml_toolkit/do_oof_kfold_train_preds.py | psmathur/tabular_ml_toolkit | 46bd88abc398aeb5c7024c5b24c7a7ea9b3b5fb1 | [
"Apache-2.0"
] | null | null | null | tabular_ml_toolkit/do_oof_kfold_train_preds.py | psmathur/tabular_ml_toolkit | 46bd88abc398aeb5c7024c5b24c7a7ea9b3b5fb1 | [
"Apache-2.0"
] | null | null | null | # do oof k-fold train and predictions
def do_oof_kfold_train_preds(self, X:object, y:object, n_splits:int, model:object, X_test:object=None,
tabnet_params:dict=None, random_state=42):
"""
This methods returns oof_preds and test_preds by doing kfold training o... | 44.656 | 118 | 0.565568 |
7c4ea55d0f769452cff8e5c7998e73227a946d66 | 640 | py | Python | development/doc/conf.py | jacquev6/Pyrraform | 9f401a35120ddf05e98b72e66ed81280b9feb8c8 | [
"MIT"
] | null | null | null | development/doc/conf.py | jacquev6/Pyrraform | 9f401a35120ddf05e98b72e66ed81280b9feb8c8 | [
"MIT"
] | null | null | null | development/doc/conf.py | jacquev6/Pyrraform | 9f401a35120ddf05e98b72e66ed81280b9feb8c8 | [
"MIT"
] | null | null | null | # coding: utf8
# Copyright 2020 Vincent Jacques <vincent@vincent-jacques.net>
project = "Pyrraform"
author = '<a href="http://vincent-jacques.net/">Vincent Jacques</a>'
copyright = f'2020 {author}<script src="https://jacquev6.net/ribbon.2.js" data-project="{project}"></script>'
master_doc = "index"
extensions = []... | 22.068966 | 109 | 0.696875 |
a43c9498241716b8ab73cfa7a18d558c09f52cf5 | 311,230 | py | Python | scipy/stats/stats.py | jacoblapenna/scipy | 4c14bb1cb8a623d317549a4726fff5d4b6635d7d | [
"BSD-3-Clause"
] | null | null | null | scipy/stats/stats.py | jacoblapenna/scipy | 4c14bb1cb8a623d317549a4726fff5d4b6635d7d | [
"BSD-3-Clause"
] | null | null | null | scipy/stats/stats.py | jacoblapenna/scipy | 4c14bb1cb8a623d317549a4726fff5d4b6635d7d | [
"BSD-3-Clause"
] | 4 | 2019-07-25T01:57:45.000Z | 2021-04-29T06:54:23.000Z | # Copyright 2002 Gary Strangman. All rights reserved
# Copyright 2002-2016 The SciPy Developers
#
# The original code from Gary Strangman was heavily adapted for
# use in SciPy by Travis Oliphant. The original code came with the
# following disclaimer:
#
# This software is provided "as-is". There are no expressed or... | 35.984507 | 106 | 0.616769 |
0e9d706b215b1e64b553b847773ffaad906993c9 | 7,999 | py | Python | river/datasets/synth/led.py | Styren/river | 128a5ffe9f80df85e23d9ae871e02bea6dc9c100 | [
"BSD-3-Clause"
] | 1 | 2021-04-19T10:47:11.000Z | 2021-04-19T10:47:11.000Z | river/datasets/synth/led.py | Styren/river | 128a5ffe9f80df85e23d9ae871e02bea6dc9c100 | [
"BSD-3-Clause"
] | null | null | null | river/datasets/synth/led.py | Styren/river | 128a5ffe9f80df85e23d9ae871e02bea6dc9c100 | [
"BSD-3-Clause"
] | 1 | 2021-01-22T15:18:39.000Z | 2021-01-22T15:18:39.000Z | import numpy as np
from .. import base
from river.utils.skmultiflow_utils import check_random_state
class LED(base.SyntheticDataset):
"""LED stream generator.
This data source originates from the CART book [^1]. An implementation
in C was donated to the UCI [^2] machine learning repository by David Aha.... | 36.692661 | 97 | 0.579072 |
9cfd8b6ce44ab7318a218a52bd1c2eaee28d680a | 2,604 | py | Python | paddlespeech/cls/exps/panns/predict.py | yuegc/PaddleSpeech | eceacd2738cdc981281991e9cd3c3f3898032507 | [
"Apache-2.0"
] | 1 | 2021-12-21T01:16:31.000Z | 2021-12-21T01:16:31.000Z | paddlespeech/cls/exps/panns/predict.py | yuegc/PaddleSpeech | eceacd2738cdc981281991e9cd3c3f3898032507 | [
"Apache-2.0"
] | null | null | null | paddlespeech/cls/exps/panns/predict.py | yuegc/PaddleSpeech | eceacd2738cdc981281991e9cd3c3f3898032507 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2021 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... | 37.2 | 154 | 0.720046 |
316d92a1fe7cbbfceba8b6cda0ad3d3579ba852c | 10,305 | py | Python | convertmask/utils/longImgSplit/script.py | wwdok/mask2json | 403c6b3df677185d5951239d13187b55bda6465a | [
"Apache-2.0"
] | null | null | null | convertmask/utils/longImgSplit/script.py | wwdok/mask2json | 403c6b3df677185d5951239d13187b55bda6465a | [
"Apache-2.0"
] | null | null | null | convertmask/utils/longImgSplit/script.py | wwdok/mask2json | 403c6b3df677185d5951239d13187b55bda6465a | [
"Apache-2.0"
] | null | null | null | '''
lanhuage: python
Descripttion:
version: beta
Author: xiaoshuyui
Date: 2020-09-03 11:41:14
LastEditors: xiaoshuyui
LastEditTime: 2021-02-01 14:33:07
'''
import copy
import os
import shutil
import xml.etree.ElementTree as ET
from glob import glob
from multiprocessing import Pool
import tqdm
from convertmask import ... | 38.595506 | 160 | 0.521009 |
146fb6978265d39f8fc916df557c18b19443773f | 1,675 | py | Python | python/dllib/src/bigdl/dllib/feature/dataset/dataset.py | DirkFi/BigDL | 7493209165c046116470b9a1e1c8f527915d6f1e | [
"Apache-2.0"
] | 3 | 2021-07-14T01:28:47.000Z | 2022-03-02T01:16:32.000Z | python/dllib/src/bigdl/dllib/feature/dataset/dataset.py | DirkFi/BigDL | 7493209165c046116470b9a1e1c8f527915d6f1e | [
"Apache-2.0"
] | null | null | null | python/dllib/src/bigdl/dllib/feature/dataset/dataset.py | DirkFi/BigDL | 7493209165c046116470b9a1e1c8f527915d6f1e | [
"Apache-2.0"
] | null | null | null | #
# Copyright 2016 The BigDL 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 or agreed to in ... | 33.5 | 90 | 0.708657 |
c1038e0ac9e3fb0184308698340fc3316cdd5407 | 19,864 | py | Python | src/experimental/corpus_thread_util.py | nostalgebraist/nostalgebraist-autoresponder | 622349c4cad2a7aec1017837416c58a678151aae | [
"MIT"
] | 39 | 2020-06-19T05:38:11.000Z | 2022-03-28T04:35:31.000Z | src/experimental/corpus_thread_util.py | nostalgebraist/nostalgebraist-autoresponder | 622349c4cad2a7aec1017837416c58a678151aae | [
"MIT"
] | null | null | null | src/experimental/corpus_thread_util.py | nostalgebraist/nostalgebraist-autoresponder | 622349c4cad2a7aec1017837416c58a678151aae | [
"MIT"
] | 2 | 2021-04-13T18:12:03.000Z | 2021-12-16T23:20:12.000Z | import hashlib
import random
import re
from collections import defaultdict, Counter
from functools import partial
from tqdm.auto import tqdm as tqdm_base
tqdm = partial(tqdm_base, mininterval=1, smoothing=0)
from tumblr_to_text.classic.autoresponder_static import EOT
from experimental.corpus_text_hacks import extract... | 36.116364 | 141 | 0.604259 |
be9757d7ba66586ac61de2b4f74c2e3400e225fd | 31,542 | py | Python | server.py | kw1jjang/P2PVoD | 17ac0e3b88976a79b4ee577232242f3d8b9e10f3 | [
"BSD-3-Clause"
] | 1 | 2019-06-29T19:03:19.000Z | 2019-06-29T19:03:19.000Z | server.py | kw1jjang/P2PVoD | 17ac0e3b88976a79b4ee577232242f3d8b9e10f3 | [
"BSD-3-Clause"
] | null | null | null | server.py | kw1jjang/P2PVoD | 17ac0e3b88976a79b4ee577232242f3d8b9e10f3 | [
"BSD-3-Clause"
] | null | null | null | import urllib2
import asyncore
import csv
import traceback
import sys, errno
from pyftpdlib import ftpserver
import Queue, time, re
import threading
import threadclient
import resource
from helper import *
from time import gmtime, strftime
import commands
import json
import urllib
import pdb
# Debugging MSG
DEBUGGING_... | 40.804657 | 114 | 0.601135 |
bb7d462afbd11467ff9bff909ea07d9bd55c327f | 5,356 | py | Python | examples/plot_grid_search.py | pactools/pactools | 1e95893bdfedf6e646749cf380c3815d4165bd9a | [
"BSD-3-Clause"
] | 61 | 2017-03-22T17:03:27.000Z | 2022-03-29T02:38:57.000Z | examples/plot_grid_search.py | pactools/pactools | 1e95893bdfedf6e646749cf380c3815d4165bd9a | [
"BSD-3-Clause"
] | 34 | 2017-03-30T18:41:17.000Z | 2021-10-19T09:42:01.000Z | examples/plot_grid_search.py | pactools/pactools | 1e95893bdfedf6e646749cf380c3815d4165bd9a | [
"BSD-3-Clause"
] | 28 | 2017-03-30T18:30:15.000Z | 2021-01-03T03:45:13.000Z | """
Grid-search and cross-validation
--------------------------------
This examples presents the interface with scikit-learn's GridSearchCV.
It creates an artificial signal with phase-amplitude coupling (PAC),
fits a DAR model over a grid-search of parameter, using cross_validation.
Cross-validation is done over epoc... | 38.257143 | 79 | 0.654033 |
f6e6f5d85371c17a790d6b4b99f1543849f20b94 | 363 | py | Python | settings.py | wenqingyu/BTCBot | fc7bca387fa2802daee218c4ceeba086ae19bb90 | [
"MIT"
] | 2 | 2020-06-27T09:32:28.000Z | 2021-03-07T23:09:17.000Z | settings.py | wenqingyu/BTCBot | fc7bca387fa2802daee218c4ceeba086ae19bb90 | [
"MIT"
] | null | null | null | settings.py | wenqingyu/BTCBot | fc7bca387fa2802daee218c4ceeba086ae19bb90 | [
"MIT"
] | null | null | null | API_ACCESS = ''
API_SECRET = ''
BTC_UNIT = 0.001
BTC_AMOUNT = BTC_UNIT
CNY_UNIT = 0.01
CNY_STEP = CNY_UNIT
DIFFERENCE_STEP = 2.0
MIN_SURPLUS = 0.5
NO_GOOD_SLEEP = 15
MAX_TRIAL = 3
MAX_OPEN_ORDERS = 3
TOO_MANY_OPEN_SLEEP = 10
DEBUG_MODE = True
REMOVE_THRESHOLD = 20.0
REMOVE_UNREALISTIC = True
CANCEL_ALL_ON_S... | 12.1 | 28 | 0.754821 |
58b741bc4f1a3348b6e6b8d419dd258d37cbbae7 | 3,868 | py | Python | setup.py | mjlarson/CosmoloPy | eb20661d0aa20ab10b5d494593baeed0ac2c1ba0 | [
"MIT"
] | null | null | null | setup.py | mjlarson/CosmoloPy | eb20661d0aa20ab10b5d494593baeed0ac2c1ba0 | [
"MIT"
] | null | null | null | setup.py | mjlarson/CosmoloPy | eb20661d0aa20ab10b5d494593baeed0ac2c1ba0 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# Future imports
from __future__ import absolute_import, division, print_function
import re
import subprocess
from setuptools import setup, find_packages, Extension
from os import path
import sys
dirpath = path.abspath(path.dirname(__file__))
eh_dir = path.join(dirpath,'cosmolopy','EH')
ext_n... | 31.447154 | 79 | 0.61091 |
4915ad868233d0395c358a1dc61fbdc2c8f71e4a | 17,554 | py | Python | bddtests/common/common_pb2.py | rachod/fabric | b8c6b2f722b630b4dd6d082179ac65e2f9a9760b | [
"Apache-2.0"
] | null | null | null | bddtests/common/common_pb2.py | rachod/fabric | b8c6b2f722b630b4dd6d082179ac65e2f9a9760b | [
"Apache-2.0"
] | null | null | null | bddtests/common/common_pb2.py | rachod/fabric | b8c6b2f722b630b4dd6d082179ac65e2f9a9760b | [
"Apache-2.0"
] | null | null | null | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: common/common.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf.internal import enum_type_wrapper
from google.protobuf import descriptor as _descriptor
from google.protobuf import message... | 33.822736 | 1,563 | 0.737097 |
631a995e7c1297f07097e700ff5a87cfc9f21c69 | 4,412 | py | Python | topi/python/topi/testing/pool3d_python.py | robo-corg/incubator-tvm | 4ddfdb4b15d05a5bf85a984837967d004efee5dd | [
"Apache-2.0"
] | 3 | 2020-03-12T10:25:51.000Z | 2020-08-05T05:36:23.000Z | topi/python/topi/testing/pool3d_python.py | robo-corg/incubator-tvm | 4ddfdb4b15d05a5bf85a984837967d004efee5dd | [
"Apache-2.0"
] | 4 | 2021-03-30T11:59:59.000Z | 2022-03-12T00:40:23.000Z | topi/python/topi/testing/pool3d_python.py | robo-corg/incubator-tvm | 4ddfdb4b15d05a5bf85a984837967d004efee5dd | [
"Apache-2.0"
] | 3 | 2021-07-20T07:40:15.000Z | 2021-08-03T08:39:17.000Z | # 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... | 46.93617 | 97 | 0.488667 |
ef43cc6e717bf4cf90fab6514745eb8aac0897d2 | 3,621 | py | Python | tests/test_docker.py | huzech/cwltool | c26a7881c5135a42c5891e3903ba755a3ceefa6b | [
"Apache-2.0"
] | null | null | null | tests/test_docker.py | huzech/cwltool | c26a7881c5135a42c5891e3903ba755a3ceefa6b | [
"Apache-2.0"
] | 11 | 2022-02-17T03:20:41.000Z | 2022-03-30T10:54:02.000Z | tests/test_docker.py | suecharo/cwltool | 997bddafe9837c551ff7681e7bbc5f3dea1b3096 | [
"Apache-2.0"
] | null | null | null | """Tests for docker engine."""
import re
from pathlib import Path
from shutil import which
from cwltool.main import main
from .util import get_data, get_main_output, needs_docker
@needs_docker
def test_docker_workflow(tmp_path: Path) -> None:
"""Basic test for docker with a CWL Workflow."""
result_code, _, ... | 27.641221 | 88 | 0.593759 |
0c75977df9ac1d40f19c8fb4723fa0e874cd8c5f | 621 | py | Python | website/migrations/0050_auto_20170819_1624.py | CrowdcoinSA/crowdcoin-platform | 72d48d4a7ac4abe7d02e3f369ca62a29c402c9d9 | [
"MIT"
] | null | null | null | website/migrations/0050_auto_20170819_1624.py | CrowdcoinSA/crowdcoin-platform | 72d48d4a7ac4abe7d02e3f369ca62a29c402c9d9 | [
"MIT"
] | 7 | 2020-02-12T00:10:22.000Z | 2022-01-13T00:43:13.000Z | website/migrations/0050_auto_20170819_1624.py | CrowdcoinSA/crowdcoin-platform | 72d48d4a7ac4abe7d02e3f369ca62a29c402c9d9 | [
"MIT"
] | 1 | 2020-10-05T12:20:19.000Z | 2020-10-05T12:20:19.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.4 on 2017-08-19 14:24
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('website', '0049_onetimepin'),
]
operations = [
... | 28.227273 | 176 | 0.679549 |
6c0851ec5d3e7a99edcac32f617e83b3e7335bdd | 8,914 | py | Python | loky/backend/semlock.py | jeremiedbb/loky | d5928468e7a8fb991388aa1c06ea1823a5d793ae | [
"BSD-3-Clause"
] | null | null | null | loky/backend/semlock.py | jeremiedbb/loky | d5928468e7a8fb991388aa1c06ea1823a5d793ae | [
"BSD-3-Clause"
] | null | null | null | loky/backend/semlock.py | jeremiedbb/loky | d5928468e7a8fb991388aa1c06ea1823a5d793ae | [
"BSD-3-Clause"
] | null | null | null | ###############################################################################
# Ctypes implementation for posix semaphore.
#
# author: Thomas Moreau and Olivier Grisel
#
# adapted from cpython/Modules/_multiprocessing/semaphore.c (17/02/2017)
# * use ctypes to access pthread semaphores and provide a full python
# ... | 32.414545 | 79 | 0.577855 |
6b3ff1f95abedd96152cf9cb79d94570cc369bed | 2,191 | py | Python | test/unittests/mocks.py | NeonJarbas/ovos-core | b516c319f13afb38401a5c9f6bbc0de35c7d7464 | [
"Apache-2.0"
] | 4 | 2021-11-03T22:06:30.000Z | 2021-11-19T08:03:58.000Z | test/unittests/mocks.py | NeonJarbas/ovos-core | b516c319f13afb38401a5c9f6bbc0de35c7d7464 | [
"Apache-2.0"
] | 62 | 2021-10-29T21:18:51.000Z | 2022-03-30T07:08:29.000Z | test/unittests/mocks.py | OpenVoiceOS/ovos-core | 662577740a6e8cb5bb92bec014a05be9a6870b05 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Mycroft AI 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 writin... | 28.454545 | 76 | 0.702419 |
5f85bdb0ce59ab1d83c5d3ab130eafa99b92e0b1 | 2,258 | py | Python | format/FormatSMVADSCSN905.py | dials/dx2 | 94a5e2fd048b4133241c5a528ffaf7c504f22f8b | [
"BSD-3-Clause"
] | null | null | null | format/FormatSMVADSCSN905.py | dials/dx2 | 94a5e2fd048b4133241c5a528ffaf7c504f22f8b | [
"BSD-3-Clause"
] | null | null | null | format/FormatSMVADSCSN905.py | dials/dx2 | 94a5e2fd048b4133241c5a528ffaf7c504f22f8b | [
"BSD-3-Clause"
] | null | null | null | """
An implementation of the SMV image reader for ADSC images. Inherits from
FormatSMVADSC, customised for example on ALS beamline 8.2.2 from back in the
day which had its own way of recording beam centre.
"""
from __future__ import absolute_import, division, print_function
from dxtbx.format.FormatSMVADSCSN import Fo... | 36.419355 | 77 | 0.647476 |
18221709113a370d94790479b05a80076c375d32 | 31,120 | py | Python | p2_mahjong/calculate_fan_func.py | yata0/Mahjong | 764cd607df715b879f3f8a54b6def55e0b7d4706 | [
"MIT"
] | null | null | null | p2_mahjong/calculate_fan_func.py | yata0/Mahjong | 764cd607df715b879f3f8a54b6def55e0b7d4706 | [
"MIT"
] | null | null | null | p2_mahjong/calculate_fan_func.py | yata0/Mahjong | 764cd607df715b879f3f8a54b6def55e0b7d4706 | [
"MIT"
] | null | null | null | import numpy as np
from p2_mahjong.DEF import *
from p2_mahjong.utils import wind_list, dragon_list, character_list
from p2_mahjong.calculate_util import is_n_sequence, is_trip
funclist = [None] * len(FanNum2TypeDict.keys())
# # 1. Pure Double Chow
def is_pure_double_chow(state, player):
sequences = state["pile_... | 29.24812 | 118 | 0.682648 |
dc5cd13e1551e59bcf2e702d3c3a375f95271c56 | 1,698 | py | Python | test/functional/feature_uacomment.py | zebnacoin/zebna | f383ab60d5226589a8b58ba0911645e02ab3e4e9 | [
"MIT"
] | null | null | null | test/functional/feature_uacomment.py | zebnacoin/zebna | f383ab60d5226589a8b58ba0911645e02ab3e4e9 | [
"MIT"
] | null | null | null | test/functional/feature_uacomment.py | zebnacoin/zebna | f383ab60d5226589a8b58ba0911645e02ab3e4e9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2017-2018 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 -uacomment option."""
import re
from test_framework.test_framework import ZebnaTestFramework... | 41.414634 | 150 | 0.691991 |
4a50345cd1f9097dd76199ff27fdde9c839feb96 | 248 | py | Python | Coding Club India/Asked Google Interview Questions/MinHeap.py | AbhiSaphire/Codechef.Practice | f671292dad2695e37458866442a6b951ba4e1a71 | [
"MIT"
] | 27 | 2020-05-19T06:46:45.000Z | 2022-02-06T20:29:58.000Z | Coding Club India/Asked Google Interview Questions/MinHeap.py | AbhiSaphire/Codechef.Practice | f671292dad2695e37458866442a6b951ba4e1a71 | [
"MIT"
] | 1 | 2020-06-23T13:08:08.000Z | 2020-10-06T06:27:15.000Z | Coding Club India/Asked Google Interview Questions/MinHeap.py | AbhiSaphire/Codechef.Practice | f671292dad2695e37458866442a6b951ba4e1a71 | [
"MIT"
] | 4 | 2020-05-19T06:47:52.000Z | 2021-07-09T02:49:09.000Z | from heapq import heapify, heappop, heappush
n, k = input().split()
n, k = int(n), int(k)
l = [int(x) for x in input().split()][:n]
Heap = []
heapify(Heap)
for i in l:
heappush(Heap, i)
for _ in range(k):
print(heappop(Heap), end = ' ')
print() | 19.076923 | 44 | 0.612903 |
bdc82e9495ce7e0f2002c4279ff2fe89bf324175 | 6,127 | py | Python | rotkehlchen/tests/unit/test_assets.py | coblee/rotki | d675f5c2d0df5176337b7b10038524ee74923482 | [
"BSD-3-Clause"
] | null | null | null | rotkehlchen/tests/unit/test_assets.py | coblee/rotki | d675f5c2d0df5176337b7b10038524ee74923482 | [
"BSD-3-Clause"
] | null | null | null | rotkehlchen/tests/unit/test_assets.py | coblee/rotki | d675f5c2d0df5176337b7b10038524ee74923482 | [
"BSD-3-Clause"
] | null | null | null | import json
import warnings as test_warnings
from pathlib import Path
import pytest
from eth_utils import is_checksum_address
from rotkehlchen.assets.asset import Asset, EthereumToken
from rotkehlchen.assets.resolver import AssetResolver, asset_type_mapping
from rotkehlchen.errors import DeserializationError, Unknown... | 34.038889 | 97 | 0.655296 |
9d73db96c6961c7511e237225f4342f0c528c069 | 39,953 | py | Python | autovideo/recognition/eco_primitive.py | wanghaisheng/autovideo | ca6c05e522f6ea8cb2043a60195769f3906a3a19 | [
"MIT"
] | 4 | 2021-11-01T15:33:03.000Z | 2022-02-10T10:37:56.000Z | autovideo/recognition/eco_primitive.py | wanghaisheng/autovideo | ca6c05e522f6ea8cb2043a60195769f3906a3a19 | [
"MIT"
] | 2 | 2021-11-08T05:09:00.000Z | 2022-03-08T20:42:02.000Z | autovideo/recognition/eco_primitive.py | wanghaisheng/autovideo | ca6c05e522f6ea8cb2043a60195769f3906a3a19 | [
"MIT"
] | 2 | 2022-02-28T10:03:14.000Z | 2022-03-23T09:00:06.000Z | '''
https://github.com/mzolfaghari/ECO-pytorch
BSD 2-Clause License
Copyright (c) 2017, Multimedia Laboratary, The Chinese University of Hong Kong
All rights reserved.
Copyright (c) 2021 DATA Lab at Texas A&M University
Redistribution and use in source and binary forms, with or without
modification, are pe... | 44.740202 | 168 | 0.575551 |
0249cb2bf88de716739eefe5e05b02c93cf1c2c4 | 6,443 | py | Python | test/unit/tools_support.py | vimalkumarvelayudhan/galaxy | ea89dd8f149778b6c2f0f3f4a34c8b21f7033af7 | [
"CC-BY-3.0"
] | null | null | null | test/unit/tools_support.py | vimalkumarvelayudhan/galaxy | ea89dd8f149778b6c2f0f3f4a34c8b21f7033af7 | [
"CC-BY-3.0"
] | 1 | 2015-02-21T18:48:19.000Z | 2015-02-27T15:50:32.000Z | test/unit/tools_support.py | vimalkumarvelayudhan/galaxy | ea89dd8f149778b6c2f0f3f4a34c8b21f7033af7 | [
"CC-BY-3.0"
] | 3 | 2015-02-22T13:34:16.000Z | 2020-10-01T01:28:04.000Z | """ Module contains test fixtures meant to aide in the testing of jobs and
tool evaluation. Such extensive "fixtures" are something of an anti-pattern
so use of this should be limitted to tests of very 'extensive' classes.
"""
from collections import defaultdict
import os.path
import tempfile
import shutil
import stri... | 35.016304 | 97 | 0.658699 |
13e00b52415a2ccee10a48d8235a68962785b505 | 1,218 | py | Python | dltb/thirdparty/nvlabs/__init__.py | Petr-By/qtpyvis | 0b9a151ee6b9a56b486c2bece9c1f03414629efc | [
"MIT"
] | 3 | 2017-10-04T14:51:26.000Z | 2017-10-22T09:35:50.000Z | dltb/thirdparty/nvlabs/__init__.py | CogSciUOS/DeepLearningToolbox | bf07578b9486d8c48e25df357bc4b9963b513b46 | [
"MIT"
] | 13 | 2017-11-26T10:05:00.000Z | 2018-03-11T14:08:40.000Z | dltb/thirdparty/nvlabs/__init__.py | CogSciUOS/DeepLearningToolbox | bf07578b9486d8c48e25df357bc4b9963b513b46 | [
"MIT"
] | 2 | 2017-09-24T21:39:42.000Z | 2017-10-04T15:29:54.000Z | """NVlabs [1] is the label for NVIDIA research projects hosted on github.
These include some official implementations for research papers and
pretrained models.
Some implementations (e.g., stylegan, stylegan2) make use of `dnnlib`, a
deep learning module based on tensorflow (via `dnnlib.tflib`).
[1] https://github.c... | 29.707317 | 73 | 0.718391 |
268f144160e15d0a4babe83c44fc2946cdcaff38 | 38 | py | Python | odoo-13.0/venv/lib/python3.8/site-packages/Hdf5StubImagePlugin.py | VaibhavBhujade/Blockchain-ERP-interoperability | b5190a037fb6615386f7cbad024d51b0abd4ba03 | [
"MIT"
] | 2 | 2021-06-20T16:56:45.000Z | 2021-06-20T17:30:18.000Z | odoo-13.0/venv/lib/python3.8/site-packages/Hdf5StubImagePlugin.py | VaibhavBhujade/Blockchain-ERP-interoperability | b5190a037fb6615386f7cbad024d51b0abd4ba03 | [
"MIT"
] | null | null | null | odoo-13.0/venv/lib/python3.8/site-packages/Hdf5StubImagePlugin.py | VaibhavBhujade/Blockchain-ERP-interoperability | b5190a037fb6615386f7cbad024d51b0abd4ba03 | [
"MIT"
] | null | null | null | from PIL.Hdf5StubImagePlugin import *
| 19 | 37 | 0.842105 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.