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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7ee0ad4229cbb8785cc665b7f1d02577367e5533 | 6,358 | py | Python | venv/lib/python3.6/site-packages/xero_python/accounting/models/branding_theme.py | 6enno/FarmXero | 881b1e6648e927631b276e66a4c5287e4de2cbc1 | [
"MIT"
] | null | null | null | venv/lib/python3.6/site-packages/xero_python/accounting/models/branding_theme.py | 6enno/FarmXero | 881b1e6648e927631b276e66a4c5287e4de2cbc1 | [
"MIT"
] | null | null | null | venv/lib/python3.6/site-packages/xero_python/accounting/models/branding_theme.py | 6enno/FarmXero | 881b1e6648e927631b276e66a4c5287e4de2cbc1 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Accounting API
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
Contact: api@xero.com
Generated by: https://openapi-generator.tech
"""
import re # noqa: F401
from xero_python.models import BaseModel
clas... | 27.885965 | 124 | 0.596886 | 6,045 | 0.950173 | 0 | 0 | 4,114 | 0.646652 | 0 | 0 | 3,787 | 0.595253 |
7ee0d66cd69f9cc4f31be7268f2139f698f3ce65 | 1,568 | py | Python | setup.py | idex-biometrics/fusesoc | 58bbb864723112e9bfd7e02a17749800225815e9 | [
"BSD-2-Clause"
] | 829 | 2015-03-10T12:28:42.000Z | 2022-03-28T02:44:12.000Z | setup.py | idex-biometrics/fusesoc | 58bbb864723112e9bfd7e02a17749800225815e9 | [
"BSD-2-Clause"
] | 460 | 2015-01-26T18:03:19.000Z | 2022-03-30T08:30:41.000Z | setup.py | idex-biometrics/fusesoc | 58bbb864723112e9bfd7e02a17749800225815e9 | [
"BSD-2-Clause"
] | 177 | 2015-02-02T13:58:12.000Z | 2022-03-30T20:56:21.000Z | # Copyright FuseSoC contributors
# Licensed under the 2-Clause BSD License, see LICENSE for details.
# SPDX-License-Identifier: BSD-2-Clause
import os
from setuptools import setup
def read(fname):
return open(os.path.join(os.path.dirname(__file__), fname)).read()
setup(
name="fusesoc",
packages=["fuse... | 25.704918 | 72 | 0.595026 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 829 | 0.528699 |
7ee162a59b2d4c88fd31a1e5da83b93341c5641c | 2,980 | py | Python | planner/migrations/0020_auto_20171028_1709.py | zhajio1988/Vplanner | 2b84bac7c8e36fde5eecc73682fde561613273d1 | [
"Apache-2.0"
] | 4 | 2019-08-26T01:20:35.000Z | 2022-01-26T09:18:27.000Z | planner/migrations/0020_auto_20171028_1709.py | zhajio1988/Vplanner | 2b84bac7c8e36fde5eecc73682fde561613273d1 | [
"Apache-2.0"
] | null | null | null | planner/migrations/0020_auto_20171028_1709.py | zhajio1988/Vplanner | 2b84bac7c8e36fde5eecc73682fde561613273d1 | [
"Apache-2.0"
] | 1 | 2020-07-27T16:14:01.000Z | 2020-07-27T16:14:01.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.5 on 2017-10-28 09:09
from __future__ import unicode_literals
import django.core.validators
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('planner', '0019_auto_20171028... | 59.6 | 171 | 0.667785 | 2,759 | 0.925839 | 0 | 0 | 0 | 0 | 0 | 0 | 649 | 0.217785 |
7ee1d07b4bc413cb7389c911457d3de03b101227 | 2,460 | py | Python | check_mana.py | CheapskateProjects/MtgManaRecognition | 9119a843f5c235ca09c695a46611bb46fea37573 | [
"MIT"
] | 7 | 2020-01-24T13:15:51.000Z | 2021-11-18T00:59:14.000Z | check_mana.py | CheapskateProjects/MtgManaRecognition | 9119a843f5c235ca09c695a46611bb46fea37573 | [
"MIT"
] | null | null | null | check_mana.py | CheapskateProjects/MtgManaRecognition | 9119a843f5c235ca09c695a46611bb46fea37573 | [
"MIT"
] | 3 | 2017-12-11T08:42:20.000Z | 2021-05-23T22:16:37.000Z | """
This code will read file given as parameter and list what mana symbols it contains.
created Apr 2017
by CheapskateProjects
---------------------------
The MIT License (MIT)
Copyright (c) 2017 CheapskateProjects
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and as... | 46.415094 | 460 | 0.742683 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,546 | 0.628455 |
7ee1d369253b685eb3c0ced8fa15abb487773d16 | 2,922 | py | Python | src/estimator.py | Dru94/scovid | 637a56d95014d785f55c3253e424874520850257 | [
"MIT"
] | null | null | null | src/estimator.py | Dru94/scovid | 637a56d95014d785f55c3253e424874520850257 | [
"MIT"
] | null | null | null | src/estimator.py | Dru94/scovid | 637a56d95014d785f55c3253e424874520850257 | [
"MIT"
] | null | null | null | import pprint
#Dictionary to hold impact, severe impact and output data
data=dict()
impactDict=dict()
severeImpactDict=dict()
estimate=dict()
keylist=["currentlyInfected","infectionsByRequestedTime","severeCasesByRequestedTime","hospitalBedsByRequestedTime",
"casesForICUByRequestedTime","casesForVentilatorsByReque... | 27.566038 | 116 | 0.826489 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 620 | 0.212183 |
7ee23d44668fd487a80e9214c2ad17038e0da11f | 3,739 | py | Python | src/tests/control/test_auth.py | abrock/pretix | cd9c048458afce1198276e5936bf583578855a4f | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2021-06-23T07:44:54.000Z | 2021-06-23T07:44:54.000Z | src/tests/control/test_auth.py | awg24/pretix | b1d67a48601838bac0d4e498cbe8bdcd16013d60 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | src/tests/control/test_auth.py | awg24/pretix | b1d67a48601838bac0d4e498cbe8bdcd16013d60 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | from django.test import Client, TestCase
from tests.base import BrowserTest
from pretix.base.models import User
class LoginFormBrowserTest(BrowserTest):
def setUp(self):
super().setUp()
self.user = User.objects.create_user('dummy@dummy.dummy', 'dummy@dummy.dummy', 'dummy')
def test_login(se... | 34.62037 | 95 | 0.622626 | 3,620 | 0.968173 | 0 | 0 | 0 | 0 | 0 | 0 | 961 | 0.257021 |
7ee657d8672c3d1e01a4a553eebf1a0a57578480 | 1,871 | py | Python | python/example_code/iam/create_policy.py | Ciul/aws-doc-sdk-examples | 0ee496eb93b0404e214d387c1933ca4e231503cb | [
"Apache-2.0"
] | 1 | 2019-01-09T01:32:02.000Z | 2019-01-09T01:32:02.000Z | python/example_code/iam/create_policy.py | cloudcansee/aws-doc-sdk-examples | 571fe9a546ab24ccac8e865190dce127f457f587 | [
"Apache-2.0"
] | null | null | null | python/example_code/iam/create_policy.py | cloudcansee/aws-doc-sdk-examples | 571fe9a546ab24ccac8e865190dce127f457f587 | [
"Apache-2.0"
] | null | null | null | # Copyright 2010-2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license"... | 30.177419 | 116 | 0.638696 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,360 | 0.726884 |
7ee6a44163dee19b7f4b3895d2366e18514d868b | 1,451 | py | Python | Part-2-Answers/2-Dictionaries/1-Word2SMS.py | Spigot-Dev/Grok-Intro_To_Programming_Python1-2 | 69c64019c0424f6cc8eb326b4456a510baab7ea7 | [
"MIT"
] | 2 | 2021-11-20T11:28:22.000Z | 2022-02-07T21:56:46.000Z | Part-2-Answers/2-Dictionaries/1-Word2SMS.py | Spigot-Dev/Grok-Intro_To_Programming_Python1-2 | 69c64019c0424f6cc8eb326b4456a510baab7ea7 | [
"MIT"
] | null | null | null | Part-2-Answers/2-Dictionaries/1-Word2SMS.py | Spigot-Dev/Grok-Intro_To_Programming_Python1-2 | 69c64019c0424f6cc8eb326b4456a510baab7ea7 | [
"MIT"
] | 4 | 2021-11-20T11:28:25.000Z | 2022-03-12T04:10:54.000Z | # 11/03/21
# What does this code do?
# This code introduces a new idea, Dictionaries. The codes purpose is to take an input, and convert it into the numbers you'd need to press
# on an alphanumeric keypad, as shown in the picture.
# How do Dictionaries work?
# To use our dictionary, we first need to initial... | 43.969697 | 148 | 0.594762 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,194 | 0.822881 |
7ee771d4ce34d997b16dc36b66c0cfae9cd23bd9 | 1,177 | py | Python | typhon/core/type_system/constraints/member_constraint.py | strongrex2001/typhon | 7a8ad7e0252768844009ab331fc8aa61350f23a9 | [
"Apache-2.0"
] | 4 | 2021-03-03T12:44:34.000Z | 2021-07-03T10:15:43.000Z | typhon/core/type_system/constraints/member_constraint.py | eliphatfs/typhon | 7a8ad7e0252768844009ab331fc8aa61350f23a9 | [
"Apache-2.0"
] | null | null | null | typhon/core/type_system/constraints/member_constraint.py | eliphatfs/typhon | 7a8ad7e0252768844009ab331fc8aa61350f23a9 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sun Mar 14 09:40:01 2021
@author: eliphat
"""
from ..type_var import TypeVar
from ..type_repr import RecordType, BottomType
from ..system import TypeSystem
from .base_constraint import BaseConstraint
from .equality_constraint import EqualityConstraint
class MemberConstraint(Bas... | 28.02381 | 74 | 0.607477 | 882 | 0.749363 | 0 | 0 | 0 | 0 | 0 | 0 | 117 | 0.099405 |
7ee7f3867098c176134098cbe45484ecb33e7f96 | 3,592 | py | Python | conflowgen/posthoc_analyses/inbound_and_outbound_vehicle_capacity_analysis_report.py | 1grasse/conflowgen | 142330ab6427254109af3b86102a30a13144ba0c | [
"MIT"
] | null | null | null | conflowgen/posthoc_analyses/inbound_and_outbound_vehicle_capacity_analysis_report.py | 1grasse/conflowgen | 142330ab6427254109af3b86102a30a13144ba0c | [
"MIT"
] | null | null | null | conflowgen/posthoc_analyses/inbound_and_outbound_vehicle_capacity_analysis_report.py | 1grasse/conflowgen | 142330ab6427254109af3b86102a30a13144ba0c | [
"MIT"
] | null | null | null | from __future__ import annotations
from conflowgen.posthoc_analyses.inbound_and_outbound_vehicle_capacity_analysis import \
InboundAndOutboundVehicleCapacityAnalysis
from conflowgen.reporting import AbstractReportWithMatplotlib
class InboundAndOutboundVehicleCapacityAnalysisReport(AbstractReportWithMatplotlib):
... | 44.345679 | 119 | 0.69794 | 3,356 | 0.934298 | 0 | 0 | 0 | 0 | 0 | 0 | 1,426 | 0.396993 |
7ee8718c462fcdfabadd0e929c133270742ee1d3 | 15,799 | py | Python | src/ehrudite/core/dnn/transformer.py | ClaudioBorges/ehrudite | 8633995d3bf795fffeccabd7d20be522241f3bb5 | [
"Apache-2.0"
] | null | null | null | src/ehrudite/core/dnn/transformer.py | ClaudioBorges/ehrudite | 8633995d3bf795fffeccabd7d20be522241f3bb5 | [
"Apache-2.0"
] | null | null | null | src/ehrudite/core/dnn/transformer.py | ClaudioBorges/ehrudite | 8633995d3bf795fffeccabd7d20be522241f3bb5 | [
"Apache-2.0"
] | 1 | 2022-03-18T09:26:05.000Z | 2022-03-18T09:26:05.000Z | """Transformer from 'Attention is all you need' (Vaswani et al., 2017)"""
# Reference: https://www.tensorflow.org/text/tutorials/transformer
# Reference: https://keras.io/examples/nlp/text_classification_with_transformer/
import numpy as np
import tensorflow as tf
class Transformer(tf.keras.Model):
def __init__(... | 35.344519 | 91 | 0.648269 | 11,635 | 0.736439 | 0 | 0 | 0 | 0 | 0 | 0 | 5,606 | 0.354833 |
7eea074d109ec1681ca547e782a6c5293f0db45e | 43,464 | py | Python | backend/tests/baserow/contrib/database/field/test_formula_field_type.py | ashishdhngr/baserow | b098678d2165eb7c42930ee24dc6753a3cb520c3 | [
"MIT"
] | null | null | null | backend/tests/baserow/contrib/database/field/test_formula_field_type.py | ashishdhngr/baserow | b098678d2165eb7c42930ee24dc6753a3cb520c3 | [
"MIT"
] | null | null | null | backend/tests/baserow/contrib/database/field/test_formula_field_type.py | ashishdhngr/baserow | b098678d2165eb7c42930ee24dc6753a3cb520c3 | [
"MIT"
] | null | null | null | import inspect
import pytest
from django.db.models import TextField
from django.urls import reverse
from rest_framework.status import HTTP_200_OK, HTTP_204_NO_CONTENT
from baserow.contrib.database.table.cache import (
generated_models_cache,
)
from baserow.contrib.database.fields.dependencies.handler import Field... | 35.108239 | 88 | 0.649802 | 0 | 0 | 0 | 0 | 41,773 | 0.961094 | 0 | 0 | 6,133 | 0.141105 |
7eec16b6d1d11372ab91abbcfdb3714c1f54cf45 | 2,647 | py | Python | src/animation.py | ngruver/decon-hnn | 6e6c7e9962568214e1708fb933b715a39328fc7b | [
"Apache-2.0"
] | 6 | 2022-02-14T04:52:59.000Z | 2022-03-08T05:11:34.000Z | src/animation.py | ngruver/decon-hnn | 6e6c7e9962568214e1708fb933b715a39328fc7b | [
"Apache-2.0"
] | null | null | null | src/animation.py | ngruver/decon-hnn | 6e6c7e9962568214e1708fb933b715a39328fc7b | [
"Apache-2.0"
] | null | null | null | from oil.utils.utils import export
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.animation as animation
import numpy as np
@export
class Animation(object):
def __init__(self, qt,body=None):
""" [qt (T,n,d)"""
self.qt = qt.data.numpy()
T... | 41.359375 | 111 | 0.548546 | 2,462 | 0.93011 | 0 | 0 | 2,471 | 0.93351 | 0 | 0 | 371 | 0.140159 |
7eedd09fb3c8d92730036810d13bd71098a0604a | 1,791 | py | Python | asyncpg_opentracing/tracing.py | condorcet/asyncpg_opentracing | 7e8342c2ab9d360507695f802b9a74803f76675e | [
"MIT"
] | 3 | 2021-02-07T02:55:46.000Z | 2021-11-25T21:32:19.000Z | asyncpg_opentracing/tracing.py | condorcet/asyncpg_opentracing | 7e8342c2ab9d360507695f802b9a74803f76675e | [
"MIT"
] | null | null | null | asyncpg_opentracing/tracing.py | condorcet/asyncpg_opentracing | 7e8342c2ab9d360507695f802b9a74803f76675e | [
"MIT"
] | null | null | null | from functools import wraps
from opentracing import global_tracer, tags, logs
from contextlib import contextmanager
def operation_name(query: str):
# TODO: some statement should contain two words. For example CREATE TABLE.
query = query.strip().split(' ')[0].strip(';').upper()
return 'asyncpg ' + query
... | 27.553846 | 78 | 0.627024 | 0 | 0 | 754 | 0.420994 | 1,124 | 0.627582 | 320 | 0.178671 | 113 | 0.063093 |
7eee18f21f85e2ef6c713447b04ed57350a47292 | 3,281 | py | Python | pysnmp-with-texts/Juniper-V35-CONF.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 8 | 2019-05-09T17:04:00.000Z | 2021-06-09T06:50:51.000Z | pysnmp-with-texts/Juniper-V35-CONF.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 4 | 2019-05-31T16:42:59.000Z | 2020-01-31T21:57:17.000Z | pysnmp-with-texts/Juniper-V35-CONF.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module Juniper-V35-CONF (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/Juniper-V35-CONF
# Produced by pysmi-0.3.4 at Wed May 1 14:04:44 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar ... | 105.83871 | 477 | 0.772021 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,653 | 0.50381 |
7eeeeddb273daae8d265bebeae3ae172280c5d3f | 3,588 | py | Python | src/sqlfluff/core/rules/functional/segment_predicates.py | r0fls/sqlfluff | 3bc658e26758d1eb1ce35dade2e2cf064a4d6675 | [
"MIT"
] | null | null | null | src/sqlfluff/core/rules/functional/segment_predicates.py | r0fls/sqlfluff | 3bc658e26758d1eb1ce35dade2e2cf064a4d6675 | [
"MIT"
] | null | null | null | src/sqlfluff/core/rules/functional/segment_predicates.py | r0fls/sqlfluff | 3bc658e26758d1eb1ce35dade2e2cf064a4d6675 | [
"MIT"
] | null | null | null | """Defines commonly used segment predicates for rule writers.
For consistency, all the predicates in this module are implemented as functions
returning functions. This avoids rule writers having to remember the
distinction between normal functions and functions returning functions.
This is not necessarily a complete ... | 26.382353 | 85 | 0.687291 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,330 | 0.37068 |
7eef35921fa0ede03616e146e1295177bb83c0f6 | 28,152 | py | Python | acro/train_uncond_dcgan.py | udibr/dcgan_code | b80e8b97193ef57ea86ecb3be684b452655fe2ac | [
"MIT"
] | 9 | 2015-12-18T09:55:35.000Z | 2018-12-02T07:04:07.000Z | acro/train_uncond_dcgan.py | udibr/dcgan_code | b80e8b97193ef57ea86ecb3be684b452655fe2ac | [
"MIT"
] | null | null | null | acro/train_uncond_dcgan.py | udibr/dcgan_code | b80e8b97193ef57ea86ecb3be684b452655fe2ac | [
"MIT"
] | 4 | 2016-01-18T08:16:38.000Z | 2019-02-12T02:29:47.000Z | """
uncond_dcgan1 made with 64x64 images from https://s3.amazonaws.com/udipublic/acro.images.tgz for train.tar.gz
"""
import argparse
parser = argparse.ArgumentParser(description='train uncoditional dcgan')
parser.add_argument('--desc',
default='uncond_dcgan',
help='name to uniq... | 39.318436 | 122 | 0.577472 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8,896 | 0.315999 |
7ef212a3bbd72af3407c75992543ad244f5853aa | 686 | py | Python | tests/test_base_testclass.py | FrNecas/requre | 110ad5c42b6bbb087a28bcaf7d7b7834825ec65a | [
"MIT"
] | 4 | 2019-09-11T10:39:19.000Z | 2020-01-26T14:46:04.000Z | tests/test_base_testclass.py | FrNecas/requre | 110ad5c42b6bbb087a28bcaf7d7b7834825ec65a | [
"MIT"
] | 134 | 2020-08-04T06:56:25.000Z | 2022-03-28T19:59:10.000Z | tests/test_base_testclass.py | FrNecas/requre | 110ad5c42b6bbb087a28bcaf7d7b7834825ec65a | [
"MIT"
] | 8 | 2019-09-11T09:52:01.000Z | 2020-05-15T07:49:20.000Z | # Copyright Contributors to the Packit project.
# SPDX-License-Identifier: MIT
import os
import shutil
from requre import RequreTestCase
from requre.utils import get_datafile_filename
class CheckBaseTestClass(RequreTestCase):
def tearDown(self):
super().tearDown()
data_file_path = get_datafile_f... | 29.826087 | 79 | 0.708455 | 497 | 0.72449 | 0 | 0 | 0 | 0 | 0 | 0 | 143 | 0.208455 |
7ef2a68b302b035e6c0797abb0c9b533ef0cc00f | 1,098 | py | Python | sabueso/tools/sabueso_UniProtKB_XMLDict/get_name.py | dprada/sabueso | 14843cf3522b5b89db5b61c1541a7015f114dd53 | [
"MIT"
] | null | null | null | sabueso/tools/sabueso_UniProtKB_XMLDict/get_name.py | dprada/sabueso | 14843cf3522b5b89db5b61c1541a7015f114dd53 | [
"MIT"
] | 2 | 2022-01-31T21:22:17.000Z | 2022-02-04T20:20:12.000Z | sabueso/tools/sabueso_UniProtKB_XMLDict/get_name.py | dprada/sabueso | 14843cf3522b5b89db5b61c1541a7015f114dd53 | [
"MIT"
] | 1 | 2021-07-20T15:01:14.000Z | 2021-07-20T15:01:14.000Z | from collections import OrderedDict
from evidence import Evidence
def get_name(item, entity='all'):
from ._add_reference_to_evidence import _add_reference_to_evidence
evidence = Evidence()
fullName = item['uniprot']['entry']['protein']['recommendedName']['fullName']
if type(fullName)==str:
... | 36.6 | 99 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 223 | 0.203097 |
7ef2ed2970e3ddb3c9692d6c9d5d53f3c44e44e9 | 93 | py | Python | amadeus/shopping/availability/__init__.py | minjikarin/amadeus-python | 14a004912ee8c36ee4fd79651ea1b23afe6b2a6e | [
"MIT"
] | 125 | 2018-04-09T07:27:24.000Z | 2022-02-22T11:45:20.000Z | amadeus/shopping/availability/__init__.py | minjikarin/amadeus-python | 14a004912ee8c36ee4fd79651ea1b23afe6b2a6e | [
"MIT"
] | 58 | 2018-03-29T14:58:01.000Z | 2022-03-17T10:18:07.000Z | amadeus/shopping/availability/__init__.py | minjikarin/amadeus-python | 14a004912ee8c36ee4fd79651ea1b23afe6b2a6e | [
"MIT"
] | 58 | 2018-04-06T10:56:20.000Z | 2022-03-04T01:23:24.000Z | from ._flight_availabilities import FlightAvailabilities
__all__ = ['FlightAvailabilities']
| 23.25 | 56 | 0.849462 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0.236559 |
7ef39b3ab7e84f40561ab285091ba87a5ffe2c50 | 6,523 | py | Python | examples/scripts/quickstart.py | dcslin/rafiki | b617ac2536ac13095c4930d6d3f1f9b3c231b5e7 | [
"Apache-2.0"
] | 35 | 2018-10-07T09:51:42.000Z | 2021-09-08T14:13:38.000Z | examples/scripts/quickstart.py | dcslin/rafiki | b617ac2536ac13095c4930d6d3f1f9b3c231b5e7 | [
"Apache-2.0"
] | 119 | 2018-10-05T14:49:39.000Z | 2022-03-11T23:49:51.000Z | examples/scripts/quickstart.py | dcslin/rafiki | b617ac2536ac13095c4930d6d3f1f9b3c231b5e7 | [
"Apache-2.0"
] | 32 | 2018-10-18T12:02:55.000Z | 2020-03-01T10:27:06.000Z | #
# 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... | 43.198675 | 155 | 0.706883 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,569 | 0.393837 |
7ef3adf21ab396cb7c21eb61dae297a4ea72dd49 | 20,228 | py | Python | facetool.py | hay/facetool | 3e296f7b177ebbcceb4b25f12f3327c3f6612f14 | [
"MIT"
] | 29 | 2018-12-10T22:40:07.000Z | 2022-03-30T02:56:28.000Z | facetool.py | hay/facetool | 3e296f7b177ebbcceb4b25f12f3327c3f6612f14 | [
"MIT"
] | 2 | 2020-02-21T09:48:37.000Z | 2021-03-06T22:33:45.000Z | facetool.py | hay/facetool | 3e296f7b177ebbcceb4b25f12f3327c3f6612f14 | [
"MIT"
] | 7 | 2019-08-09T09:19:12.000Z | 2022-03-30T02:56:27.000Z | #!/usr/bin/env python3
from dataknead import Knead
from facetool import config, media, util
from facetool.constants import *
from facetool.path import Path
from facetool.profiler import Profiler
from facetool.errors import ArgumentError
from facetool.util import message, force_mkdir, sample_remove, is_json_path
from r... | 33.939597 | 100 | 0.606041 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,689 | 0.281244 |
7ef3b3d381094bf85b4cc0de564bd90a29ffa484 | 26,538 | py | Python | webapp/views.py | manas11/foodex | d78f13e49e6ee51083eb4e91d0a7237d7960c276 | [
"MIT"
] | 1 | 2022-02-04T08:47:40.000Z | 2022-02-04T08:47:40.000Z | webapp/views.py | manas11/foodex | d78f13e49e6ee51083eb4e91d0a7237d7960c276 | [
"MIT"
] | null | null | null | webapp/views.py | manas11/foodex | d78f13e49e6ee51083eb4e91d0a7237d7960c276 | [
"MIT"
] | 3 | 2020-07-14T18:41:50.000Z | 2022-01-27T17:52:25.000Z | from django.contrib.auth import authenticate
from django.contrib.auth.decorators import login_required
from django.http import JsonResponse
from django.shortcuts import render, redirect, get_object_or_404
from _datetime import datetime
# from django.http import HttpResponse, HttpResponseNotAllowed
from django.contrib... | 32.601966 | 115 | 0.585915 | 0 | 0 | 0 | 0 | 6,968 | 0.262567 | 0 | 0 | 7,901 | 0.297724 |
7ef4e804662096ec1a9ee780599e15a0cae458b8 | 3,106 | py | Python | src/view/services_read_page.py | nbilbo/services_manager | 74e0471a1101305303a96d39963cc98fc0645a64 | [
"MIT"
] | null | null | null | src/view/services_read_page.py | nbilbo/services_manager | 74e0471a1101305303a96d39963cc98fc0645a64 | [
"MIT"
] | null | null | null | src/view/services_read_page.py | nbilbo/services_manager | 74e0471a1101305303a96d39963cc98fc0645a64 | [
"MIT"
] | null | null | null | """Frame to show all service\'s register\'s.
"""
import tkinter.ttk
from src.view import constants
from src.view.services_page import ServicesPage
class ServicesReadPage(ServicesPage):
def __init__(self, parent, controller, *args, **kwargs):
super(ServicesReadPage, self).__init__(parent, *args, **kwargs... | 28.236364 | 106 | 0.59369 | 2,950 | 0.949775 | 0 | 0 | 0 | 0 | 0 | 0 | 516 | 0.16613 |
7ef51c0080ffee9c24edcdbb55e7295f1c8931e0 | 6,649 | py | Python | datamodules/dataset.py | ayhokuyan/CartooNet | 61f0ed752a52a9667bc0dd4f8eff2ba708765594 | [
"MIT"
] | 2 | 2021-04-25T19:04:38.000Z | 2021-04-26T01:13:15.000Z | datamodules/dataset.py | ofirkris/CartooNet | 3bda4a4a57148fc1ee9edaccbae25e921132c2ce | [
"MIT"
] | 2 | 2021-01-09T20:43:45.000Z | 2021-10-12T16:23:19.000Z | datamodules/dataset.py | ofirkris/CartooNet | 3bda4a4a57148fc1ee9edaccbae25e921132c2ce | [
"MIT"
] | 3 | 2021-01-07T10:35:47.000Z | 2021-12-12T03:45:58.000Z | from torchvision.datasets import VisionDataset
from datamodules.dsfunction import imread
from torch.utils.data import Dataset, RandomSampler, Sampler, DataLoader, TensorDataset, random_split, ConcatDataset
import os
import glob
from typing import List, Sequence, Tuple
from itertools import cycle, islice
import torch
fr... | 31.661905 | 116 | 0.689277 | 6,285 | 0.945255 | 0 | 0 | 189 | 0.028425 | 0 | 0 | 1,394 | 0.209656 |
7efb31a8e8af90737b8da1f5791e1e718e4838b5 | 5,251 | py | Python | anarky/interface.py | MulberryBeacon/anarky | 54684e4422d36c6ea3c0bb3fab5af56002864690 | [
"MIT"
] | 1 | 2015-05-12T13:05:04.000Z | 2015-05-12T13:05:04.000Z | anarky/interface.py | MulberryBeacon/anarky | 54684e4422d36c6ea3c0bb3fab5af56002864690 | [
"MIT"
] | null | null | null | anarky/interface.py | MulberryBeacon/anarky | 54684e4422d36c6ea3c0bb3fab5af56002864690 | [
"MIT"
] | null | null | null | # -*- coding: utf8 -*-
"""
Common user interface operations.
Author: Eduardo Ferreira
License: MIT (see LICENSE for details)
"""
# Module import
# --------------------------------------------------------------------------------------------------
from os import walk
from os.path import isdir, isfile, join
import argp... | 34.546053 | 102 | 0.607503 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,952 | 0.562179 |
7efc02867d62088c24fe38cb0e01aef98549a474 | 585 | py | Python | source/intentionally_blank/ext/formatters/eof_newline/formatter.py | sixty-north/intentionally-blank | ef00c91003811b05170f417a3acbcf4bf92bd643 | [
"MIT"
] | null | null | null | source/intentionally_blank/ext/formatters/eof_newline/formatter.py | sixty-north/intentionally-blank | ef00c91003811b05170f417a3acbcf4bf92bd643 | [
"MIT"
] | null | null | null | source/intentionally_blank/ext/formatters/eof_newline/formatter.py | sixty-north/intentionally-blank | ef00c91003811b05170f417a3acbcf4bf92bd643 | [
"MIT"
] | null | null | null | from intentionally_blank.formatter import Formatter
class NewlineAtEofFormatter(Formatter):
"""Ensure the last line of the file has a newline terminator.
"""
def format(self, lines):
"""
Args:
lines: An iterable series of strings, each with a newline terminator.
... | 25.434783 | 81 | 0.635897 | 416 | 0.711111 | 0 | 0 | 0 | 0 | 0 | 0 | 295 | 0.504274 |
7efefef66bd1feb3647085e8c53cf1e989e233d5 | 5,049 | py | Python | scripts/analyze.py | PuchatekwSzortach/voc_fcn | db881196208f280c47ccfa5743ff2f1e7d9bd009 | [
"MIT"
] | 5 | 2018-04-23T02:57:02.000Z | 2019-06-17T01:26:34.000Z | scripts/analyze.py | PuchatekwSzortach/voc_fcn | db881196208f280c47ccfa5743ff2f1e7d9bd009 | [
"MIT"
] | null | null | null | scripts/analyze.py | PuchatekwSzortach/voc_fcn | db881196208f280c47ccfa5743ff2f1e7d9bd009 | [
"MIT"
] | null | null | null | """
Script for analyzing model's performance
"""
import argparse
import sys
import collections
import yaml
import tensorflow as tf
import tqdm
import numpy as np
import net.data
import net.ml
import net.utilities
def report_iou_results(categories_intersections_counts_map, categories_unions_counts_map):
"""
... | 37.4 | 110 | 0.754011 | 0 | 0 | 1,377 | 0.272727 | 0 | 0 | 0 | 0 | 1,673 | 0.331353 |
7eff1983d7fbe1e52b15da6db6b21e34c240b7dd | 5,095 | py | Python | 12_solution.py | kng/AoC2020 | 236865234f4fbf780ec289c15f9d678202b047cf | [
"MIT"
] | null | null | null | 12_solution.py | kng/AoC2020 | 236865234f4fbf780ec289c15f9d678202b047cf | [
"MIT"
] | null | null | null | 12_solution.py | kng/AoC2020 | 236865234f4fbf780ec289c15f9d678202b047cf | [
"MIT"
] | null | null | null | # --- Day 12: Rain Risk ---
# https://adventofcode.com/2020/day/12
import time
simple = False
verbose = 1
if simple:
data = 'F10\nN3\nF7\nR90\nF11'.splitlines()
else:
file = open('12_input.txt', 'r')
data = file.read().splitlines()
class Ship(object):
def __init__(self, d=0, x=0, y=0,... | 35.137931 | 93 | 0.366045 | 3,981 | 0.781354 | 0 | 0 | 0 | 0 | 0 | 0 | 597 | 0.117174 |
7d0038100c8c0111fa664f6eb6cc9dd2beee4fca | 335 | py | Python | chatting/models.py | aliakbars/tbdc | ac8fe28b781cbc5e6e9cf7dc9579cc94c7e9ec55 | [
"Apache-2.0"
] | null | null | null | chatting/models.py | aliakbars/tbdc | ac8fe28b781cbc5e6e9cf7dc9579cc94c7e9ec55 | [
"Apache-2.0"
] | null | null | null | chatting/models.py | aliakbars/tbdc | ac8fe28b781cbc5e6e9cf7dc9579cc94c7e9ec55 | [
"Apache-2.0"
] | null | null | null | from __future__ import unicode_literals
from django.db import models
from django.contrib.auth.models import User
# Create your models here.
class Chat(models.Model):
content = models.TextField()
sender = models.ForeignKey(User)
receiver = models.ForeignKey(User)
date_created = models.DateTimeField(aut... | 30.454545 | 58 | 0.776119 | 193 | 0.576119 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0.077612 |
7d01524893d64dff4161903aeece165ee10064d8 | 4,118 | py | Python | src/neo_loader/helpers/tflite_model_helper.py | minlu1021/neo-loader | dcee791380c95b6c7bd5ae580fb252eefa6ae2ab | [
"Apache-2.0"
] | null | null | null | src/neo_loader/helpers/tflite_model_helper.py | minlu1021/neo-loader | dcee791380c95b6c7bd5ae580fb252eefa6ae2ab | [
"Apache-2.0"
] | null | null | null | src/neo_loader/helpers/tflite_model_helper.py | minlu1021/neo-loader | dcee791380c95b6c7bd5ae580fb252eefa6ae2ab | [
"Apache-2.0"
] | null | null | null | from collections import OrderedDict
from .abstract_model_helper import ModelHelper
from tflite.Tensor import Tensor
from tflite.Model import Model
from tflite.TensorType import TensorType
from typing import List
class TFLiteModelHelper(ModelHelper):
TFLITE_TENSOR_TYPE_TO_DTYPE = {}
TFLITE_TENSOR_TYPE_TO_DTYPE[... | 41.59596 | 159 | 0.678728 | 3,904 | 0.948033 | 0 | 0 | 661 | 0.160515 | 0 | 0 | 328 | 0.07965 |
7d02e19d26499fd9832ccc2e030ef3666288dfd1 | 584 | py | Python | wingstructure/aero/aero_moment.py | helo9/wingstructure | ff82eb0b87e3b5ececff39895f959bfef468e7c3 | [
"MIT"
] | 7 | 2019-01-02T16:47:31.000Z | 2020-10-10T10:06:15.000Z | wingstructure/aero/aero_moment.py | helo9/wingstructure | ff82eb0b87e3b5ececff39895f959bfef468e7c3 | [
"MIT"
] | 9 | 2019-01-13T20:11:23.000Z | 2019-10-10T21:38:58.000Z | wingstructure/aero/aero_moment.py | helo9/wingstructure | ff82eb0b87e3b5ececff39895f959bfef468e7c3 | [
"MIT"
] | 1 | 2018-12-27T14:20:36.000Z | 2018-12-27T14:20:36.000Z | import numpy as np
def mean_momentcoefficient(wing, airfoil_db):
"""calculate mean coefficient of moment for wing
Parameters
----------
wing : Wing
object describing wing
airfoil_db : dict
dictionary containing airfoil data
"""
try:
c_m0s = [airfoil_db[sec.airf... | 24.333333 | 82 | 0.630137 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 261 | 0.446918 |
7d037a52977d0f0954d115a4089354137b1a38db | 22,333 | py | Python | backend/vqa_benchmarking_backend/metrics/metrics.py | patilli/vqa_benchmarking | 53a05d8956e71e99de6d97db5e7a7e400b6cc65f | [
"MIT"
] | 1 | 2021-12-09T06:32:14.000Z | 2021-12-09T06:32:14.000Z | backend/vqa_benchmarking_backend/metrics/metrics.py | patilli/vqa_benchmarking | 53a05d8956e71e99de6d97db5e7a7e400b6cc65f | [
"MIT"
] | null | null | null | backend/vqa_benchmarking_backend/metrics/metrics.py | patilli/vqa_benchmarking | 53a05d8956e71e99de6d97db5e7a7e400b6cc65f | [
"MIT"
] | null | null | null | from typing import List, Tuple
import sqlite3
import os
import random
import json
from vqa_benchmarking_backend.datasets.dataset import DatasetModelAdapter, DiagnosticDataset, DataSample
from vqa_benchmarking_backend.metrics.bias import eval_bias, inputs_for_image_bias_featurespace, inputs_for_image_bias_wordspace, in... | 53.685096 | 240 | 0.680697 | 0 | 0 | 0 | 0 | 9,809 | 0.439216 | 0 | 0 | 5,422 | 0.24278 |
7d046d7646f874b0a9f0b4e92ebdd10a5f1eb202 | 268 | py | Python | hospitals/urls.py | gilga98/ahalya | 1c50ae3ffaf48db5b1970567028117991451d62b | [
"MIT"
] | 4 | 2020-07-18T18:09:32.000Z | 2021-05-01T02:12:40.000Z | hospitals/urls.py | gilga98/ahalya | 1c50ae3ffaf48db5b1970567028117991451d62b | [
"MIT"
] | 5 | 2021-03-30T13:56:57.000Z | 2021-09-22T19:27:22.000Z | hospitals/urls.py | gilga98/ahalya | 1c50ae3ffaf48db5b1970567028117991451d62b | [
"MIT"
] | 1 | 2020-11-15T05:08:21.000Z | 2020-11-15T05:08:21.000Z | from django.urls import path
from . import views
app_name = "hospitals"
urlpatterns = [
path("hospitalList", views.HospitalDetailedList.as_view(), name="hospital_list"),
path("hospitalDetail", views.HospitalDetailedSingle.as_view(), name="hospital_read"),
] | 26.8 | 89 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 71 | 0.264925 |
7d0477dd2b810ce50a53066c223439d0ca4dbaec | 335 | py | Python | miniteste7/divisoresmaior/divisoresmaior.py | Davvi-Duarte/prog1 | b22e271d3a0226ebb2cabe211d4c8e243cc93f1c | [
"Apache-2.0"
] | null | null | null | miniteste7/divisoresmaior/divisoresmaior.py | Davvi-Duarte/prog1 | b22e271d3a0226ebb2cabe211d4c8e243cc93f1c | [
"Apache-2.0"
] | null | null | null | miniteste7/divisoresmaior/divisoresmaior.py | Davvi-Duarte/prog1 | b22e271d3a0226ebb2cabe211d4c8e243cc93f1c | [
"Apache-2.0"
] | null | null | null | def maior_numero(lista):
a = lista[0]
for i in range(len(lista)):
if lista[i] > a:
a = lista[i]
return a
def remove_divisores_do_maior(lista):
maiornumero=maior_numero(lista)
for i in range(len(lista)-1,-1,-1):
if (maiornumero%lista[i])==0:
lista.pop(i)
re... | 23.928571 | 39 | 0.570149 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7d053dd93a0611a4a0e532ea4d23bee17151532c | 1,613 | py | Python | RBSP/Pos/_ReadSPDF.py | mattkjames7/RBSP | 4827fc1fa3203463cdf994c1c979deec60fe1122 | [
"MIT"
] | null | null | null | RBSP/Pos/_ReadSPDF.py | mattkjames7/RBSP | 4827fc1fa3203463cdf994c1c979deec60fe1122 | [
"MIT"
] | null | null | null | RBSP/Pos/_ReadSPDF.py | mattkjames7/RBSP | 4827fc1fa3203463cdf994c1c979deec60fe1122 | [
"MIT"
] | null | null | null | from .. import Globals
import PyFileIO as pf
import os
import numpy as np
def _ReadSPDF(sc='a'):
'''
Reads the SPDF SSCWeb text files (scraped from their HTML output).
Input:
sc: Spacecraft 'a' or 'b'
Returns:
numpy.recarray
'''
#set up dtype to load
dtype = [('Year','int32'),('DOY','int32'),('ut','U... | 31.019231 | 169 | 0.610663 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 869 | 0.538748 |
7d06085df3fe41964096c1793c9b3fba869163aa | 273 | py | Python | setup.py | klaasb/python-dmenuwrap | ffc592da00d1c53200e4b391a81c423afc06c592 | [
"BSD-2-Clause"
] | 1 | 2019-06-28T17:47:43.000Z | 2019-06-28T17:47:43.000Z | setup.py | klaasb/python-dmenuwrap | ffc592da00d1c53200e4b391a81c423afc06c592 | [
"BSD-2-Clause"
] | null | null | null | setup.py | klaasb/python-dmenuwrap | ffc592da00d1c53200e4b391a81c423afc06c592 | [
"BSD-2-Clause"
] | null | null | null | from distutils.core import setup
setup(
name='python-dmenuwrap',
author='Klaas Boesche',
author_email='klaas-dev@boesche.me',
url='https://github.com/KaGeBe/python-dmenuwrap',
version='0.1.0',
license='BSD 2-clause',
py_modules=['dmenuwrap']
)
| 22.75 | 53 | 0.67033 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 131 | 0.479853 |
7d0655be98836fde86e8a90e510ed3097683aff2 | 967 | py | Python | crits/comments/urls.py | dutrow/crits | 6b357daa5c3060cf622d3a3b0c7b41a9ca69c049 | [
"MIT"
] | 738 | 2015-01-02T12:39:55.000Z | 2022-03-23T11:05:51.000Z | crits/comments/urls.py | dutrow/crits | 6b357daa5c3060cf622d3a3b0c7b41a9ca69c049 | [
"MIT"
] | 605 | 2015-01-01T01:03:39.000Z | 2021-11-17T18:51:07.000Z | crits/comments/urls.py | dutrow/crits | 6b357daa5c3060cf622d3a3b0c7b41a9ca69c049 | [
"MIT"
] | 316 | 2015-01-07T12:35:01.000Z | 2022-03-30T04:44:30.000Z | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^remove/(?P<obj_type>\S+)/(?P<obj_id>\S+)/$', views.remove_comment, name='crits-comments-views-remove_comment'),
url(r'^(?P<method>\S+)/(?P<obj_type>\S+)/(?P<obj_id>\S+)/$', views.add_update_comment, name='crits-comments-views-add_upda... | 64.466667 | 139 | 0.688728 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 576 | 0.595657 |
7d088e8ad48a298f700c49b458a6cd8398f17041 | 19,511 | py | Python | FortressOfSolitude/_FortressOfSolitude/NeutrinoKey/models.py | BDD16/FortressOfSolitude | 51070d3ffa78262d823ae8ccce4f8ae3c7ed83ac | [
"MIT"
] | null | null | null | FortressOfSolitude/_FortressOfSolitude/NeutrinoKey/models.py | BDD16/FortressOfSolitude | 51070d3ffa78262d823ae8ccce4f8ae3c7ed83ac | [
"MIT"
] | 6 | 2021-07-26T14:07:30.000Z | 2022-01-09T01:06:40.000Z | FortressOfSolitude/_FortressOfSolitude/NeutrinoKey/models.py | BDD16/FortressOfSolitude | 51070d3ffa78262d823ae8ccce4f8ae3c7ed83ac | [
"MIT"
] | null | null | null | """
DBA 1337_TECH, AUSTIN TEXAS © MAY 2020
Proof of Concept code, No liabilities or warranties expressed or implied.
"""
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models
from datetime import datetime
from .cryptoutils import CryptoTools
from base64 import b64encode, b64dec... | 39.576065 | 194 | 0.621906 | 15,459 | 0.792282 | 0 | 0 | 0 | 0 | 0 | 0 | 4,183 | 0.214381 |
7d08e0455217002dd24efe02680fa2c013e09769 | 9,946 | py | Python | tests/test_bitshares.py | silverchen0402/python-bitshares | aafbcf5cd09e7bca99dd156fd60b9df8ba508630 | [
"MIT"
] | 102 | 2018-04-08T23:05:00.000Z | 2022-03-31T10:10:03.000Z | tests/test_bitshares.py | silverchen0402/python-bitshares | aafbcf5cd09e7bca99dd156fd60b9df8ba508630 | [
"MIT"
] | 246 | 2018-04-03T12:35:49.000Z | 2022-02-28T10:44:28.000Z | tests/test_bitshares.py | silverchen0402/python-bitshares | aafbcf5cd09e7bca99dd156fd60b9df8ba508630 | [
"MIT"
] | 128 | 2018-04-14T01:39:12.000Z | 2022-03-25T08:56:51.000Z | # -*- coding: utf-8 -*-
import mock
import string
import unittest
import random
from pprint import pprint
from bitshares import BitShares
from bitshares.account import Account
from bitsharesbase.operationids import getOperationNameForId
from bitshares.amount import Amount
from bitsharesbase.account import PrivateKey
fr... | 36.973978 | 88 | 0.584356 | 9,467 | 0.95184 | 0 | 0 | 0 | 0 | 0 | 0 | 2,555 | 0.256887 |
7d0bbe8da578c249333be408a98ef7bf3a18a601 | 2,068 | py | Python | wms/config/wms.py | bhavesh95863/WMS | c45858a943a607e5d0b49f698e469f3362aae001 | [
"MIT"
] | null | null | null | wms/config/wms.py | bhavesh95863/WMS | c45858a943a607e5d0b49f698e469f3362aae001 | [
"MIT"
] | null | null | null | wms/config/wms.py | bhavesh95863/WMS | c45858a943a607e5d0b49f698e469f3362aae001 | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
from frappe import _
def get_data():
return [
{
"label": _("WMS"),
"icon": "octicon octicon-briefcase",
"items": [
{
"type": "doctype",
"name": "WMS Lead",
... | 29.126761 | 55 | 0.287718 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 676 | 0.326886 |
7d0e753b01114266b3974061310dec6cde76f5b2 | 7,424 | py | Python | medicalseg/utils/utils.py | onecatcn/MedicalSeg | ba490c5c4541ac5bad0aefad6453ce0a48241ec7 | [
"Apache-2.0"
] | null | null | null | medicalseg/utils/utils.py | onecatcn/MedicalSeg | ba490c5c4541ac5bad0aefad6453ce0a48241ec7 | [
"Apache-2.0"
] | null | null | null | medicalseg/utils/utils.py | onecatcn/MedicalSeg | ba490c5c4541ac5bad0aefad6453ce0a48241ec7 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2020 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 applic... | 37.685279 | 151 | 0.620824 | 0 | 0 | 250 | 0.033665 | 277 | 0.037301 | 0 | 0 | 2,341 | 0.315244 |
7d10929e0f7464895fe68437ba3cbfe2769eb71c | 16,828 | py | Python | src/specific_models/bot-iot/attack_identification/lstm.py | kaylani2/sbseg2020 | 055e403cdf5a3484d4d66e5dbe20a498af6669e0 | [
"MIT"
] | 7 | 2019-11-06T14:35:37.000Z | 2022-03-06T03:55:06.000Z | src/specific_models/bot-iot/attack_identification/lstm.py | kaylani2/sbseg2020 | 055e403cdf5a3484d4d66e5dbe20a498af6669e0 | [
"MIT"
] | 10 | 2020-05-16T02:38:35.000Z | 2021-04-11T23:55:35.000Z | src/specific_models/bot-iot/attack_identification/lstm.py | kaylani2/sbseg2020 | 055e403cdf5a3484d4d66e5dbe20a498af6669e0 | [
"MIT"
] | 2 | 2020-06-26T21:39:41.000Z | 2020-09-15T03:38:32.000Z | # Author: Kaylani Bochie
# github.com/kaylani2
# kaylani AT gta DOT ufrj DOT br
### K: Model: LSTM
import sys
import time
import pandas as pd
import os
import math
import numpy as np
from numpy import mean, std
from unit import remove_columns_with_one_value, remove_nan_columns, load_dataset
from unit import display_ge... | 42.175439 | 109 | 0.590504 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7,542 | 0.448182 |
7d124f218a5ee0a4b8f0187b77fddb8e78f5822d | 866 | py | Python | ledis/datastructures.py | gianghta/Ledis | a6b31617621746344408ee411cf510ef3cfb2e7b | [
"MIT"
] | null | null | null | ledis/datastructures.py | gianghta/Ledis | a6b31617621746344408ee411cf510ef3cfb2e7b | [
"MIT"
] | null | null | null | ledis/datastructures.py | gianghta/Ledis | a6b31617621746344408ee411cf510ef3cfb2e7b | [
"MIT"
] | null | null | null | from enum import unique, Enum
from typing import Union
@unique
class DataType(Enum):
STR = "str"
SET = "set"
class BaseDataStructure:
__slots__ = {"data", "type", "expire_at"}
def __init__(self, data: Union[str, set]):
self.data = data
# This will raise an error if type is not supp... | 21.121951 | 62 | 0.614319 | 791 | 0.913395 | 0 | 0 | 61 | 0.070439 | 0 | 0 | 168 | 0.193995 |
7d12d17fb491fc8c8fc02644cb8aec6502ee03f9 | 6,350 | py | Python | pychpp/ht_matches_archive.py | PiGo86/pychpp | 052c2ea96b170118fc51b9a72f00995cb7465290 | [
"Apache-2.0"
] | 1 | 2021-11-01T11:58:47.000Z | 2021-11-01T11:58:47.000Z | pychpp/ht_matches_archive.py | PiGo86/pychpp | 052c2ea96b170118fc51b9a72f00995cb7465290 | [
"Apache-2.0"
] | null | null | null | pychpp/ht_matches_archive.py | PiGo86/pychpp | 052c2ea96b170118fc51b9a72f00995cb7465290 | [
"Apache-2.0"
] | 1 | 2020-08-27T13:56:16.000Z | 2020-08-27T13:56:16.000Z | import datetime
from pychpp import ht_model
from pychpp import ht_xml
from pychpp import ht_team, ht_match, ht_datetime
class HTMatchesArchive(ht_model.HTModel):
"""
Hattrick matches archive
"""
_SOURCE_FILE = "matchesarchive"
_SOURCE_FILE_VERSION = "1.4"
# URL PATH with several params avai... | 40.189873 | 79 | 0.59685 | 6,223 | 0.98 | 0 | 0 | 629 | 0.099055 | 0 | 0 | 2,331 | 0.367087 |
7d13b825db8617c1324456436c859711871cf5e3 | 46,339 | py | Python | langcodes/__init__.py | garyd203/langcodes | 0cedf9ca257ebf7250de5d3a63ec33a7d198db58 | [
"MIT"
] | null | null | null | langcodes/__init__.py | garyd203/langcodes | 0cedf9ca257ebf7250de5d3a63ec33a7d198db58 | [
"MIT"
] | null | null | null | langcodes/__init__.py | garyd203/langcodes | 0cedf9ca257ebf7250de5d3a63ec33a7d198db58 | [
"MIT"
] | null | null | null | """
langcodes knows what languages are. It knows the standardized codes that
refer to them, such as `en` for English, `es` for Spanish and `hi` for Hindi.
Often, it knows what these languages are called *in* a language, and that
language doesn't have to be English.
See README.md for the main documentation, or read it ... | 37.673984 | 134 | 0.620665 | 35,452 | 0.761492 | 0 | 0 | 12,453 | 0.267484 | 0 | 0 | 31,836 | 0.683822 |
7d15587f60cf0a944a8221741a2723b9c690ebb1 | 2,892 | py | Python | tests/integration/suites/sensitive/update.py | bularcasergiu/Anjay | a76399199dc9569d58aebc4bf18c494ca2127292 | [
"Apache-2.0"
] | null | null | null | tests/integration/suites/sensitive/update.py | bularcasergiu/Anjay | a76399199dc9569d58aebc4bf18c494ca2127292 | [
"Apache-2.0"
] | null | null | null | tests/integration/suites/sensitive/update.py | bularcasergiu/Anjay | a76399199dc9569d58aebc4bf18c494ca2127292 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright 2017-2020 AVSystem <avsystem@avsystem.com>
#
# 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 ... | 37.076923 | 84 | 0.687759 | 2,115 | 0.731328 | 0 | 0 | 0 | 0 | 0 | 0 | 898 | 0.310512 |
7d15e1ed8db34e13a2c5028eba86c509926087ab | 829 | py | Python | dataset/gnn_dataset.py | Yu-Yy/MathPoseGNN | 9759955957b4cca192f5a98031245277c12750f3 | [
"Apache-2.0"
] | 1 | 2022-01-08T07:39:49.000Z | 2022-01-08T07:39:49.000Z | dataset/gnn_dataset.py | Yu-Yy/MathPoseGNN | 9759955957b4cca192f5a98031245277c12750f3 | [
"Apache-2.0"
] | null | null | null | dataset/gnn_dataset.py | Yu-Yy/MathPoseGNN | 9759955957b4cca192f5a98031245277c12750f3 | [
"Apache-2.0"
] | null | null | null | import torch
from torch.utils.data import Dataset
import os
import pickle
class GNNdataset(Dataset): # train and test
def __init__(self, data_dir):
super().__init__()
self.data_dir = data_dir
self.file_list = os.listdir(self.data_dir)
def __len__(self):
return len(self.... | 27.633333 | 80 | 0.639324 | 734 | 0.885404 | 0 | 0 | 0 | 0 | 0 | 0 | 61 | 0.073583 |
7d168979294284d9641a5164cc03767fec0a51c9 | 701 | py | Python | autonapt.py | rainforest-tokyo/AutoNaptPython | 5c021ca18e7a8280b52fd168ff6c443321ff3e31 | [
"MIT"
] | null | null | null | autonapt.py | rainforest-tokyo/AutoNaptPython | 5c021ca18e7a8280b52fd168ff6c443321ff3e31 | [
"MIT"
] | null | null | null | autonapt.py | rainforest-tokyo/AutoNaptPython | 5c021ca18e7a8280b52fd168ff6c443321ff3e31 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import sys
from types import MethodType
sys.path.append(os.path.dirname(os.path.realpath(__file__)) + '/detail')
from Utils import Utils
try:
from AutoNapt import AutoNapt
except Exception as ex:
Utils.print_exception(ex)
def expects_type(self, name, ... | 21.90625 | 77 | 0.684736 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 182 | 0.259629 |
7d175bf034fa65f7ae66fd6150ae4013621d9935 | 16,355 | py | Python | tests/normalizer/test_number_normalizer.py | tkscode/pyNormalizeNumExp | ac7df9b49153d9b792f5c8087b17c0d8c4a615b2 | [
"BSD-3-Clause"
] | 2 | 2021-11-09T06:18:21.000Z | 2021-12-04T10:58:26.000Z | tests/normalizer/test_number_normalizer.py | tkscode/pyNormalizeNumExp | ac7df9b49153d9b792f5c8087b17c0d8c4a615b2 | [
"BSD-3-Clause"
] | null | null | null | tests/normalizer/test_number_normalizer.py | tkscode/pyNormalizeNumExp | ac7df9b49153d9b792f5c8087b17c0d8c4a615b2 | [
"BSD-3-Clause"
] | 1 | 2021-11-09T03:33:33.000Z | 2021-11-09T03:33:33.000Z | import pytest
from pynormalizenumexp.expression.base import NNumber, NotationType
from pynormalizenumexp.utility.dict_loader import DictLoader
from pynormalizenumexp.normalizer.number_normalizer import NumberNormalizer
@pytest.fixture(scope="class")
def number_normalizer():
return NumberNormalizer(DictLoader("ja... | 50.478395 | 123 | 0.667869 | 17,290 | 0.981438 | 0 | 0 | 101 | 0.005733 | 0 | 0 | 2,276 | 0.129193 |
7d176782197a481d98435dbbce03b227e4fc2703 | 253 | py | Python | kivy/tests/pyinstaller/simple_widget/project/widget.py | Galland/kivy | 95a6bf279883d706f645e4629c16d5ee1038f0ec | [
"MIT"
] | 13,889 | 2015-01-01T06:43:41.000Z | 2022-03-31T17:37:56.000Z | kivy/tests/pyinstaller/simple_widget/project/widget.py | Galland/kivy | 95a6bf279883d706f645e4629c16d5ee1038f0ec | [
"MIT"
] | 4,570 | 2015-01-01T17:58:52.000Z | 2022-03-31T18:42:16.000Z | kivy/tests/pyinstaller/simple_widget/project/widget.py | Galland/kivy | 95a6bf279883d706f645e4629c16d5ee1038f0ec | [
"MIT"
] | 3,786 | 2015-01-01T09:20:45.000Z | 2022-03-30T21:15:05.000Z | from kivy.uix.widget import Widget
class MyWidget(Widget):
def __init__(self, **kwargs):
super(MyWidget, self).__init__(**kwargs)
def callback(*l):
self.x = self.y
self.fbind('y', callback)
callback()
| 19.461538 | 48 | 0.58498 | 215 | 0.849802 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0.011858 |
7d17c5d4335dc7c37aaf77acd240d8436fc7dcc4 | 69 | py | Python | sample/core.py | trs319843/mypackage | cdcefaac5635805a577c26bea8e3437dc3f7e049 | [
"MIT"
] | null | null | null | sample/core.py | trs319843/mypackage | cdcefaac5635805a577c26bea8e3437dc3f7e049 | [
"MIT"
] | null | null | null | sample/core.py | trs319843/mypackage | cdcefaac5635805a577c26bea8e3437dc3f7e049 | [
"MIT"
] | null | null | null | # sample\core.py
def run_core():
print("In pycharm run_core")
| 9.857143 | 32 | 0.652174 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 0.536232 |
7d17d2a8d99333e35f8e555eee507303861ac334 | 18,537 | py | Python | userbot/plugins/spam.py | justteen/BUZZ-USERBOT | 55651cce150e1d04d2c61efb2565ef9f46b42933 | [
"BSL-1.0"
] | null | null | null | userbot/plugins/spam.py | justteen/BUZZ-USERBOT | 55651cce150e1d04d2c61efb2565ef9f46b42933 | [
"BSL-1.0"
] | null | null | null | userbot/plugins/spam.py | justteen/BUZZ-USERBOT | 55651cce150e1d04d2c61efb2565ef9f46b42933 | [
"BSL-1.0"
] | null | null | null | import asyncio
import base64
import os
from telethon import functions, types
from telethon.tl.functions.messages import ImportChatInviteRequest as Get
from userbot import CMD_HELP
from userbot.plugins import BOTLOG, BOTLOG_CHATID
from userbot.utils import lightning_cmd, edit_or_reply, sudo_cmd
@bot.on(lightning_cmd... | 39.950431 | 141 | 0.496413 | 0 | 0 | 0 | 0 | 17,428 | 0.940174 | 16,774 | 0.904893 | 3,526 | 0.190214 |
7d187ae720e582888dbe9f2c84697c0a7a77dbce | 352 | py | Python | curso_em_video/mundo_1/exs_python/ExPy011.py | LuiZamberlan/Ex.-Python | f5b6e4782e0ce0e3fead82b126b52588e1bc21b0 | [
"MIT"
] | 1 | 2020-09-19T21:39:12.000Z | 2020-09-19T21:39:12.000Z | curso_em_video/mundo_1/exs_python/ExPy011.py | LuiZamberlan/Ex.-Python | f5b6e4782e0ce0e3fead82b126b52588e1bc21b0 | [
"MIT"
] | null | null | null | curso_em_video/mundo_1/exs_python/ExPy011.py | LuiZamberlan/Ex.-Python | f5b6e4782e0ce0e3fead82b126b52588e1bc21b0 | [
"MIT"
] | null | null | null | l = float(input('Digite a largura da parede em metros: '))
al = float(input('Digite a altura da parede em metros: '))
#Um litro de tinta pinta 2m², largura * altura da parede obtemos a área dela em m² e dividimos por dois para obter a quantidade de tinta necessária.
lt = (l * al) / 2
print(f'Com uma parede {l}x{al}, ... | 44 | 148 | 0.704545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 290 | 0.810056 |
7d18dd3203b7119834318c4470153b6b81e4c9b8 | 1,840 | py | Python | generators/name.py | vickio/compgen | 7bb9a473622e53df18501b577dca4a33fc83922c | [
"MIT"
] | 2 | 2018-11-24T05:52:48.000Z | 2018-11-29T20:46:18.000Z | generators/name.py | vickio/compgen | 7bb9a473622e53df18501b577dca4a33fc83922c | [
"MIT"
] | null | null | null | generators/name.py | vickio/compgen | 7bb9a473622e53df18501b577dca4a33fc83922c | [
"MIT"
] | 2 | 2018-11-23T12:33:07.000Z | 2018-11-27T02:50:06.000Z | from random import choice
from string import Template
from . import BaseGenerator
class Name(BaseGenerator):
def __init__(self, company):
self.company = company
self.data = self._load_json('name.json')
self.templates = self.data.pop('templates')
self.noun... | 34.716981 | 80 | 0.584239 | 1,754 | 0.953261 | 0 | 0 | 0 | 0 | 0 | 0 | 251 | 0.136413 |
7d196d02b6dfdae637cba35d8a14ed891350c55a | 1,046 | py | Python | microcosm_flask/session.py | KensoDev/microcosm-flask | 3618333f4a0f45e673a33986877157208c9eac5f | [
"Apache-2.0"
] | 11 | 2017-01-30T21:53:20.000Z | 2020-05-29T22:39:19.000Z | microcosm_flask/session.py | KensoDev/microcosm-flask | 3618333f4a0f45e673a33986877157208c9eac5f | [
"Apache-2.0"
] | 139 | 2016-03-09T19:09:59.000Z | 2021-09-03T17:14:00.000Z | microcosm_flask/session.py | KensoDev/microcosm-flask | 3618333f4a0f45e673a33986877157208c9eac5f | [
"Apache-2.0"
] | 10 | 2016-12-19T22:39:42.000Z | 2021-03-09T19:23:15.000Z | """
Support a user-defined per-request session.
"""
from flask import g
def register_session_factory(graph, key, session_factory):
"""
Register a session creation function so that a new session (of user-defined type)
will be saved to `flask.g` on every request (and closed on teardown).
In other word... | 30.764706 | 85 | 0.688337 | 0 | 0 | 0 | 0 | 379 | 0.362333 | 0 | 0 | 649 | 0.620459 |
7d198a067cf29bfd3860f24dbef0396a06853828 | 5,188 | py | Python | pkg_ros_iot_bridge/scripts/temp_for_salim/get_sheet.py | 1arshan/Eyantra_Virgi-bot | 30ebe99fec6a0d4767fe94468b21bc00091bc527 | [
"MIT"
] | 1 | 2021-09-09T04:41:28.000Z | 2021-09-09T04:41:28.000Z | pkg_ros_iot_bridge/scripts/temp_for_salim/get_sheet.py | 1arshan/Eyantra_Virgi-bot | 30ebe99fec6a0d4767fe94468b21bc00091bc527 | [
"MIT"
] | null | null | null | pkg_ros_iot_bridge/scripts/temp_for_salim/get_sheet.py | 1arshan/Eyantra_Virgi-bot | 30ebe99fec6a0d4767fe94468b21bc00091bc527 | [
"MIT"
] | null | null | null | #! /usr/bin/env python2.7
import requests
import json
import heapq as hq #heap
def check_order(order_id,order_info):
for i in order_info:
if i[1] == order_id:
return True
return False
def check_if_dispatched(order_id):
# URL = "https://spreadsheets.google.com/feeds/list/1ria... | 39.907692 | 152 | 0.655551 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,414 | 0.465305 |
7d1a5fed53eac5b58167653a55f260086f23688f | 1,065 | py | Python | llvm-codegen/compiler-tests/test-llvm-4.py | PS-Group/compiler-theory-samples | c916af50eb42020024257ecd17f9be1580db7bf0 | [
"MIT"
] | null | null | null | llvm-codegen/compiler-tests/test-llvm-4.py | PS-Group/compiler-theory-samples | c916af50eb42020024257ecd17f9be1580db7bf0 | [
"MIT"
] | null | null | null | llvm-codegen/compiler-tests/test-llvm-4.py | PS-Group/compiler-theory-samples | c916af50eb42020024257ecd17f9be1580db7bf0 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import os.path
import subprocess
import shutil
def get_compiler_path():
compiler_path = os.path.abspath("../../debug-compiler-theory-samples/llvm_4")
if not os.path.exists(compiler_path):
raise ValueError('compiler llvm_4 not found')
return compiler_path
class Runner:
d... | 30.428571 | 81 | 0.668545 | 503 | 0.4723 | 0 | 0 | 0 | 0 | 0 | 0 | 253 | 0.237559 |
7d1ce69a7df2042cf3c0f10f391fedf67f671938 | 1,282 | py | Python | cropwatch/apps/metrics/management/commands/uptime.py | objectsyndicate/Crop-Watch | c960bbcacc49199e35984dc521cc9e8663a6b972 | [
"Apache-2.0"
] | 13 | 2018-02-10T14:52:05.000Z | 2021-08-31T21:21:58.000Z | cropwatch/apps/metrics/management/commands/uptime.py | objectsyndicate/Crop-Watch | c960bbcacc49199e35984dc521cc9e8663a6b972 | [
"Apache-2.0"
] | 1 | 2019-06-13T15:55:08.000Z | 2020-07-16T17:35:09.000Z | cropwatch/apps/metrics/management/commands/uptime.py | objectsyndicate/Crop-Watch | c960bbcacc49199e35984dc521cc9e8663a6b972 | [
"Apache-2.0"
] | 2 | 2018-05-15T14:54:28.000Z | 2019-05-19T14:59:18.000Z | from dateutil.relativedelta import relativedelta
from django.core.management.base import BaseCommand
from django.utils import timezone
from cropwatch.apps.ioTank.models import ioTank, SensorReading
from cropwatch.apps.metrics.tasks import *
class Command(BaseCommand):
help = 'Performs uptime validation every 5'
... | 42.733333 | 116 | 0.625585 | 1,037 | 0.808892 | 0 | 0 | 0 | 0 | 0 | 0 | 132 | 0.102964 |
7d1d6b584d80ab19370f83c6e3bf191fa2bab75c | 12,946 | py | Python | src/ralph/discovery/tasks.py | quamilek/ralph | bf7231ea096924332b874718b33cd1f43f9c783b | [
"Apache-2.0"
] | null | null | null | src/ralph/discovery/tasks.py | quamilek/ralph | bf7231ea096924332b874718b33cd1f43f9c783b | [
"Apache-2.0"
] | null | null | null | src/ralph/discovery/tasks.py | quamilek/ralph | bf7231ea096924332b874718b33cd1f43f9c783b | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Asynchronous task support for discovery."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from datetime import datetime, timedelta
from functools import partial
impo... | 33.365979 | 79 | 0.622509 | 128 | 0.009887 | 0 | 0 | 0 | 0 | 0 | 0 | 2,953 | 0.228101 |
7d1e3411660fc6ff987dff3de950e6a48810d1d8 | 7,125 | py | Python | tests/tests_bibliotools/test_parse_and_group.py | wonjoonSeol/ScienceScape | 8d8a3cb76193b6f85b7a2a6c7219e249237d64c8 | [
"BSD-3-Clause"
] | 5 | 2018-02-14T21:11:06.000Z | 2020-02-23T14:53:11.000Z | tests/tests_bibliotools/test_parse_and_group.py | wonjoonSeol/ScienceScape | 8d8a3cb76193b6f85b7a2a6c7219e249237d64c8 | [
"BSD-3-Clause"
] | 106 | 2018-02-09T00:31:05.000Z | 2018-03-29T07:28:34.000Z | tests/tests_bibliotools/test_parse_and_group.py | wonjoonSeol/ScienceScape | 8d8a3cb76193b6f85b7a2a6c7219e249237d64c8 | [
"BSD-3-Clause"
] | 6 | 2018-02-23T17:48:03.000Z | 2020-05-14T13:39:36.000Z | from django.test import TestCase
import sys
import os
lib_path = os.path.abspath(os.path.join(__file__, '..', '..', '..', 'bibliotools3', 'scripts'))
sys.path.append(lib_path)
from parse_and_group import is_year_within_span
from parse_and_group import create_span_files
from parse_and_group import separate_years
from ... | 60.897436 | 2,417 | 0.703439 | 6,760 | 0.948772 | 0 | 0 | 0 | 0 | 0 | 0 | 4,440 | 0.623158 |
7d1f3ddbc8caa64dc170bb034f2e11f6a498e3f3 | 968 | py | Python | src/hw_conversion/HWPreprocessor.py | jmbarrios/hw-conversion | 8addd24e726e7284ade3195df14f96ea51c332b7 | [
"MIT"
] | null | null | null | src/hw_conversion/HWPreprocessor.py | jmbarrios/hw-conversion | 8addd24e726e7284ade3195df14f96ea51c332b7 | [
"MIT"
] | null | null | null | src/hw_conversion/HWPreprocessor.py | jmbarrios/hw-conversion | 8addd24e726e7284ade3195df14f96ea51c332b7 | [
"MIT"
] | null | null | null | '''
Module containing a preprocessor that keeps cells if they match given
expression.
'''
# Author: Juan M. Barrios <j.m.barrios@gmail.com>
import re
from typing import Pattern
from traitlets import Unicode
from nbconvert.preprocessors import Preprocessor
class HomeworkPreproccessor(Preprocessor):
'''Keeps cell... | 27.657143 | 77 | 0.67562 | 708 | 0.731405 | 0 | 0 | 0 | 0 | 0 | 0 | 378 | 0.390496 |
7d20f25ebe54b94a311e03fb9f7b27183d742e5a | 2,455 | py | Python | CloacaCodeTests/minheap.py | rockobonaparte/cloaca | 789dc5a6ec1c52f6fe3d5e8aadc1a9c149aacf68 | [
"MIT"
] | 3 | 2020-01-11T19:25:18.000Z | 2022-03-12T17:27:28.000Z | CloacaCodeTests/minheap.py | rockobonaparte/cloaca | 789dc5a6ec1c52f6fe3d5e8aadc1a9c149aacf68 | [
"MIT"
] | 4 | 2020-02-10T16:50:43.000Z | 2021-12-03T08:03:46.000Z | CloacaCodeTests/minheap.py | rockobonaparte/cloaca | 789dc5a6ec1c52f6fe3d5e8aadc1a9c149aacf68 | [
"MIT"
] | 4 | 2020-02-10T16:40:46.000Z | 2020-11-27T08:11:51.000Z | raise NotImplementedError("Getting an NPE trying to parse this code")
class KeyValue:
def __init__(self, key, value):
self.key = key
self.value = value
def __repr__(self):
return f"{self.key}->{self.value}"
class MinHeap:
def __init__(self, start_size):
self.heap = [None]... | 27.897727 | 84 | 0.518941 | 2,173 | 0.885132 | 0 | 0 | 0 | 0 | 0 | 0 | 78 | 0.031772 |
7d2138cb868753332f4b3ce35fd7b436d701ae81 | 15,359 | py | Python | mecademic/Robot.py | nickarmenta/PythonForMecademic | d6277239bbb376a2388984a9fe12a4d4d88d653c | [
"MIT"
] | 1 | 2021-03-22T13:40:42.000Z | 2021-03-22T13:40:42.000Z | mecademic/Robot.py | nickarmenta/PythonForMecademic | d6277239bbb376a2388984a9fe12a4d4d88d653c | [
"MIT"
] | null | null | null | mecademic/Robot.py | nickarmenta/PythonForMecademic | d6277239bbb376a2388984a9fe12a4d4d88d653c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import socket
import threading
import logging
logging.basicConfig(filename='meca.log', level=logging.DEBUG)
PROGRAM_FILE = 'program_output.txt'
# Dictionary of status indexes in robot status message
statusDict = {'activated': 0,
'homed': 1,
'simulating': 2,
'... | 35.801865 | 102 | 0.604662 | 13,679 | 0.890618 | 0 | 0 | 0 | 0 | 0 | 0 | 3,888 | 0.253141 |
7d21bc0228817255f88c077601480d01e75f6337 | 1,750 | py | Python | renku/core/utils/datetime8601.py | mohammad-sdsc/renku-python | 3a7bf2339ab56a3bc00a689bb27a864bb5bf55da | [
"Apache-2.0"
] | null | null | null | renku/core/utils/datetime8601.py | mohammad-sdsc/renku-python | 3a7bf2339ab56a3bc00a689bb27a864bb5bf55da | [
"Apache-2.0"
] | null | null | null | renku/core/utils/datetime8601.py | mohammad-sdsc/renku-python | 3a7bf2339ab56a3bc00a689bb27a864bb5bf55da | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright 2020 - Swiss Data Science Center (SDSC)
# A partnership between École Polytechnique Fédérale de Lausanne (EPFL) and
# Eidgenössische Technische Hochschule Zürich (ETHZ).
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compli... | 31.25 | 77 | 0.660571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,064 | 0.606268 |
7d24621d93eb905ea51ea7bf215e6bab3af4d108 | 2,493 | py | Python | dn-real-in/eval.py | ngchc/deepBoosting | 13b3515c16f0d9a0a92b990dfb5eef09ec1a7298 | [
"MIT"
] | 49 | 2019-04-01T02:03:05.000Z | 2021-11-29T07:58:33.000Z | dn-real-in/eval.py | ngchc/deepBoosting | 13b3515c16f0d9a0a92b990dfb5eef09ec1a7298 | [
"MIT"
] | 4 | 2019-04-04T06:53:19.000Z | 2021-11-02T13:11:44.000Z | dn-real-in/eval.py | ngchc/deepBoosting | 13b3515c16f0d9a0a92b990dfb5eef09ec1a7298 | [
"MIT"
] | 16 | 2019-04-01T02:03:11.000Z | 2022-03-20T13:13:04.000Z | import os
import numpy as np
import tensorflow as tf
from PIL import Image
def modcrop(im, modulo):
if len(im.shape) == 3:
size = np.array(im.shape)
size = size - (size % modulo)
im = im[0 : size[0], 0 : size[1], :]
elif len(im.shape) == 2:
size = np.array(im.shape)
size = size - (size % modulo)
im = im... | 27.7 | 108 | 0.636984 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 425 | 0.170477 |
7d2644ca332886ab77c32e7e0f6f69055493b94f | 294 | py | Python | c_registry.py | shemerofir/skaffold-auto-docs | 20a05d79fd5df1e1ca8dc356c627dda06dd4720a | [
"MIT"
] | null | null | null | c_registry.py | shemerofir/skaffold-auto-docs | 20a05d79fd5df1e1ca8dc356c627dda06dd4720a | [
"MIT"
] | null | null | null | c_registry.py | shemerofir/skaffold-auto-docs | 20a05d79fd5df1e1ca8dc356c627dda06dd4720a | [
"MIT"
] | null | null | null | import sh
from dotenv import load_dotenv
import os
load_dotenv()
PASSWORD = os.environ.get("sudo_password")
def c_registry():
with sh.contrib.sudo(password=PASSWORD, _with=True):
sh.docker('run', '-d', '-p', '5000:5000', '--restart=always', '--name', 'registry', 'registry:2')
| 22.615385 | 105 | 0.670068 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 87 | 0.295918 |
7d270ae80a04b95ae0734653fb57ab760e18861b | 191 | py | Python | api/guids/urls.py | gaybro8777/osf.io | 30408511510a40bc393565817b343ef5fd76ab14 | [
"Apache-2.0"
] | 628 | 2015-01-15T04:33:22.000Z | 2022-03-30T06:40:10.000Z | api/guids/urls.py | gaybro8777/osf.io | 30408511510a40bc393565817b343ef5fd76ab14 | [
"Apache-2.0"
] | 4,712 | 2015-01-02T01:41:53.000Z | 2022-03-30T14:18:40.000Z | api/guids/urls.py | Johnetordoff/osf.io | de10bf249c46cede04c78f7e6f7e352c69e6e6b5 | [
"Apache-2.0"
] | 371 | 2015-01-12T16:14:08.000Z | 2022-03-31T18:58:29.000Z | from django.conf.urls import url
from api.guids import views
app_name = 'osf'
urlpatterns = [
url(r'^(?P<guids>\w+)/$', views.GuidDetail.as_view(), name=views.GuidDetail.view_name),
]
| 19.1 | 91 | 0.696335 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0.13089 |
7d27c111549ca054eb1d4350e5f213c7b661a06c | 500 | py | Python | drinks/migrations/0002_drink_ingredients.py | jmhubbard/cocktail_api | 47c2cca699f02dc14af04b989beeee9855a797f0 | [
"Unlicense"
] | 1 | 2020-11-25T04:57:34.000Z | 2020-11-25T04:57:34.000Z | drinks/migrations/0002_drink_ingredients.py | jmhubbard/cocktail_api | 47c2cca699f02dc14af04b989beeee9855a797f0 | [
"Unlicense"
] | null | null | null | drinks/migrations/0002_drink_ingredients.py | jmhubbard/cocktail_api | 47c2cca699f02dc14af04b989beeee9855a797f0 | [
"Unlicense"
] | null | null | null | # Generated by Django 3.1.2 on 2020-10-29 04:46
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('recipes', '0001_initial'),
('ingredients', '0001_initial'),
('drinks', '0001_initial'),
]
operations = [
migrations.AddField... | 23.809524 | 96 | 0.6 | 407 | 0.814 | 0 | 0 | 0 | 0 | 0 | 0 | 179 | 0.358 |
7d2960dbcf92acd1ac35985bb043ac91054c10d1 | 5,971 | py | Python | trello_track/__init__.py | seanmacavaney/trello-track | b900cfbe9395cf2742e624b49dfcb9ed6da67552 | [
"MIT"
] | 1 | 2020-09-13T17:17:41.000Z | 2020-09-13T17:17:41.000Z | trello_track/__init__.py | seanmacavaney/trello-track | b900cfbe9395cf2742e624b49dfcb9ed6da67552 | [
"MIT"
] | null | null | null | trello_track/__init__.py | seanmacavaney/trello-track | b900cfbe9395cf2742e624b49dfcb9ed6da67552 | [
"MIT"
] | null | null | null | import sys
import json
import os
import platform
import subprocess
import contextlib
import requests
CHECKLIST_NAME = 'Commands'
ICON_READY, ICON_IP, ICON_DONE, ICON_FAIL = '⚪', '⌛', '🔵', '🔴'
_CREDS = None
def CREDS():
global _CREDS
if _CREDS is None:
c = {}
if os.path.exists(os.path.expan... | 35.754491 | 122 | 0.533077 | 3,860 | 0.645377 | 127 | 0.021234 | 154 | 0.025748 | 0 | 0 | 1,382 | 0.231065 |
7d2a2fea07d41d19ee631745dc1ae58b9dcafc22 | 7,363 | py | Python | src/ResourceManager.py | NEKERAFA/Soul-Tower | d37c0bf6bcbf253ec5b2c41f802adeeca31fb384 | [
"MIT"
] | null | null | null | src/ResourceManager.py | NEKERAFA/Soul-Tower | d37c0bf6bcbf253ec5b2c41f802adeeca31fb384 | [
"MIT"
] | null | null | null | src/ResourceManager.py | NEKERAFA/Soul-Tower | d37c0bf6bcbf253ec5b2c41f802adeeca31fb384 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import pygame, sys, os, json
from pygame.locals import *
IMAGE_PATH = os.path.join('assets', 'images')
SPRITE_SHEET_PATH = os.path.join('assets', 'sprites')
STAGE_CONF_PATH = os.path.join('assets', 'stages')
ROOM_CONF_PATH = os.path.join('assets', 'rooms')
DIALOGUE_CONF_PATH = os.path.join('as... | 33.621005 | 76 | 0.573408 | 6,688 | 0.90734 | 0 | 0 | 6,551 | 0.888753 | 0 | 0 | 1,607 | 0.218017 |
7d2c1800b1cf775906aaeca97219fcb2b7436072 | 1,307 | py | Python | valuation/migrations/0001_initial.py | jiun0507/minestock | b333298575cae1c426cc4450e85e9e576458b74a | [
"Unlicense"
] | null | null | null | valuation/migrations/0001_initial.py | jiun0507/minestock | b333298575cae1c426cc4450e85e9e576458b74a | [
"Unlicense"
] | null | null | null | valuation/migrations/0001_initial.py | jiun0507/minestock | b333298575cae1c426cc4450e85e9e576458b74a | [
"Unlicense"
] | 1 | 2021-10-15T20:10:39.000Z | 2021-10-15T20:10:39.000Z | # Generated by Django 3.2 on 2021-04-28 12:31
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
opera... | 36.305556 | 161 | 0.599847 | 1,150 | 0.879878 | 0 | 0 | 0 | 0 | 0 | 0 | 195 | 0.149197 |
7d2cd9bd2587b1eea5028879416dfa12cb5caa1c | 6,268 | py | Python | ravenframework/SupervisedLearning/ScikitLearn/Ensemble/StackingRegressor.py | khurrumsaleem/raven | 3a158f9ae3851d3eca51b4bd91ea6494e5c0ed89 | [
"Apache-2.0"
] | null | null | null | ravenframework/SupervisedLearning/ScikitLearn/Ensemble/StackingRegressor.py | khurrumsaleem/raven | 3a158f9ae3851d3eca51b4bd91ea6494e5c0ed89 | [
"Apache-2.0"
] | null | null | null | ravenframework/SupervisedLearning/ScikitLearn/Ensemble/StackingRegressor.py | khurrumsaleem/raven | 3a158f9ae3851d3eca51b4bd91ea6494e5c0ed89 | [
"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... | 50.144 | 158 | 0.62508 | 4,860 | 0.775367 | 0 | 0 | 1,987 | 0.317007 | 0 | 0 | 3,732 | 0.595405 |
7d2d9540209fa5a85af406d4e806349eeca524ef | 908 | py | Python | fluent_contents/rendering/__init__.py | francofuji/django-fluent-contents | 03da447ef0854b0e6a6f8ff39d9281d11efc8587 | [
"Apache-2.0"
] | null | null | null | fluent_contents/rendering/__init__.py | francofuji/django-fluent-contents | 03da447ef0854b0e6a6f8ff39d9281d11efc8587 | [
"Apache-2.0"
] | null | null | null | fluent_contents/rendering/__init__.py | francofuji/django-fluent-contents | 03da447ef0854b0e6a6f8ff39d9281d11efc8587 | [
"Apache-2.0"
] | null | null | null | """
This module provides functions to render placeholder content manually.
The functions are available outside the regular templatetags,
so it can be called outside the templates as well.
Contents is cached in memcache whenever possible, only the remaining items are queried.
The templatetags also use these functions ... | 30.266667 | 121 | 0.785242 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 592 | 0.651982 |
7d2eedcb594966e266531a38d18f3efe92684a79 | 1,615 | py | Python | linear regression/simple_linear_regression.py | liangjisheng/Machine-Learning | 55b6781d621e2de09c6e750ecc993178fb247c7b | [
"MIT"
] | null | null | null | linear regression/simple_linear_regression.py | liangjisheng/Machine-Learning | 55b6781d621e2de09c6e750ecc993178fb247c7b | [
"MIT"
] | null | null | null | linear regression/simple_linear_regression.py | liangjisheng/Machine-Learning | 55b6781d621e2de09c6e750ecc993178fb247c7b | [
"MIT"
] | null | null | null | # -*- coding:utf-8 -*-
"""
@project = 0602-1
@file = simple_linear_regression
@author = Liangjisheng
@create_time = 2018/6/2 0002 下午 17:16
"""
import matplotlib.pyplot as plt
import numpy as np
from sklearn import datasets, linear_model
# 加载用于回归模型的数据集
# 这个数据集中一共有442个样本，特征向量维度为10
# 特征向量每个变量为实数，变化范围（-.2 ，.2）
# 目标输出为实数，变... | 24.469697 | 83 | 0.763467 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,255 | 0.566591 |
7d2ef278a9b7568669efc168569d30a00da19ccc | 2,104 | py | Python | app/gui/frames/templates/list_frame.py | Matexer/BSPR | a503a8795cb0f4cebe2eedd148aa00aea75b570e | [
"MIT"
] | null | null | null | app/gui/frames/templates/list_frame.py | Matexer/BSPR | a503a8795cb0f4cebe2eedd148aa00aea75b570e | [
"MIT"
] | null | null | null | app/gui/frames/templates/list_frame.py | Matexer/BSPR | a503a8795cb0f4cebe2eedd148aa00aea75b570e | [
"MIT"
] | null | null | null | import tkinter as tk
from abc import ABCMeta, abstractmethod
from ...frames.templates import FrameTemplate
from ...elements import AddButton, EditButton, DeleteButton
class ListFrameTemplate(FrameTemplate, metaclass=ABCMeta):
def __init__(self, top, *args, **kw):
super().__init__(top, *args, **kw)
... | 32.875 | 66 | 0.623099 | 1,934 | 0.919202 | 0 | 0 | 1,685 | 0.800856 | 0 | 0 | 131 | 0.062262 |
7d31ec43828e5f8b1bea431b80a4901f6d2b3f3a | 337 | py | Python | EllipticCurves/Curve.py | mrajweir/Code | 6b57cbed93ba556bef08e1e66735286ccf21820d | [
"MIT"
] | null | null | null | EllipticCurves/Curve.py | mrajweir/Code | 6b57cbed93ba556bef08e1e66735286ccf21820d | [
"MIT"
] | 2 | 2020-03-31T10:19:59.000Z | 2021-02-08T14:28:38.000Z | EllipticCurves/Curve.py | mrajweir/Code | 6b57cbed93ba556bef08e1e66735286ccf21820d | [
"MIT"
] | 1 | 2020-04-05T10:20:21.000Z | 2020-04-05T10:20:21.000Z | import matplotlib.pyplot as plt
import numpy as np
def main():
a = -1
b = 1
y, x = np.ogrid[-5:5:100j, -5:5:100j]
plt.contour(
x.ravel(),
y.ravel(),
pow(y, 2) - pow(x, 3) - x * a - b,
[0]
)
plt.plot(1, 1, 'ro')
plt.grid()
plt.show()
if __name__ == '__ma... | 16.85 | 42 | 0.465875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0.041543 |
7d321a3687498f5a8ed7caee0688af65987caed6 | 2,312 | py | Python | importer/management/commands/rebuild_project_stats.py | brand-fabian/varfish-server | 6a084d891d676ff29355e72a29d4f7b207220283 | [
"MIT"
] | null | null | null | importer/management/commands/rebuild_project_stats.py | brand-fabian/varfish-server | 6a084d891d676ff29355e72a29d4f7b207220283 | [
"MIT"
] | null | null | null | importer/management/commands/rebuild_project_stats.py | brand-fabian/varfish-server | 6a084d891d676ff29355e72a29d4f7b207220283 | [
"MIT"
] | null | null | null | """Django command for rebuilding cohort statistics after import."""
import aldjemy
from django.contrib.auth import get_user_model
from django.core.exceptions import ObjectDoesNotExist
from django.core.management.base import BaseCommand, CommandError
from django.db import transaction
from django.conf import settings
f... | 37.901639 | 96 | 0.698962 | 1,689 | 0.730536 | 0 | 0 | 839 | 0.362889 | 0 | 0 | 762 | 0.329585 |
7d33735c0c3bfee8be88bd6f1998151e93fe43b3 | 273 | py | Python | answers/Utkarsh Srivastava/Day 12/Question 2.py | arc03/30-DaysOfCode-March-2021 | 6d6e11bf70280a578113f163352fa4fa8408baf6 | [
"MIT"
] | 22 | 2021-03-16T14:07:47.000Z | 2021-08-13T08:52:50.000Z | answers/Utkarsh Srivastava/Day 12/Question 2.py | arc03/30-DaysOfCode-March-2021 | 6d6e11bf70280a578113f163352fa4fa8408baf6 | [
"MIT"
] | 174 | 2021-03-16T21:16:40.000Z | 2021-06-12T05:19:51.000Z | answers/Utkarsh Srivastava/Day 12/Question 2.py | arc03/30-DaysOfCode-March-2021 | 6d6e11bf70280a578113f163352fa4fa8408baf6 | [
"MIT"
] | 135 | 2021-03-16T16:47:12.000Z | 2021-06-27T14:22:38.000Z | n = int(input())
c = [0]*n
for i in range(n):
l = int(input())
S = input()
for j in range(l):
if (S[j]=='0'):
continue
for k in range(j,l):
if (S[k]=='1'):
c[i] = c[i]+1
for i in range(n):
print(c[i])
| 19.5 | 29 | 0.388278 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0.021978 |
7d348b05d1517aca67ab59bdc69e706d090649ac | 3,294 | py | Python | tests/cropSeqTest.py | schnamo/CIAlign | 6985d74bb9a59535bb01751fcb739dd5ca219607 | [
"MIT"
] | 60 | 2019-09-09T16:44:14.000Z | 2022-03-26T12:04:17.000Z | tests/cropSeqTest.py | schnamo/CIAlign | 6985d74bb9a59535bb01751fcb739dd5ca219607 | [
"MIT"
] | 16 | 2020-05-12T20:17:30.000Z | 2022-03-15T16:01:41.000Z | tests/cropSeqTest.py | schnamo/CIAlign | 6985d74bb9a59535bb01751fcb739dd5ca219607 | [
"MIT"
] | 3 | 2020-03-28T11:20:02.000Z | 2022-01-22T07:16:58.000Z | #! /usr/bin/env python
import unittest
from unittest import mock
from mock import patch
from parameterized import parameterized, parameterized_class
import sys
import logging
import numpy as np
from Bio import AlignIO
import os
from os import path
import CIAlign
import CIAlign.cropSeq as cropSeq
class CropSeqsTest... | 45.75 | 193 | 0.60929 | 2,991 | 0.908015 | 0 | 0 | 2,933 | 0.890407 | 0 | 0 | 1,178 | 0.35762 |
7d34ac8a177d53d04be76e0daa53138a4a06a173 | 1,871 | py | Python | cogdl/models/emb/rotate.py | cenyk1230/cogdl | fa1f74d5c3a15b5a52abfc7cd3f04dce4b7dbcce | [
"MIT"
] | 1,072 | 2019-08-02T05:46:21.000Z | 2022-03-31T07:51:53.000Z | cogdl/models/emb/rotate.py | cenyk1230/cogdl | fa1f74d5c3a15b5a52abfc7cd3f04dce4b7dbcce | [
"MIT"
] | 96 | 2019-08-05T17:27:22.000Z | 2022-03-03T08:36:57.000Z | cogdl/models/emb/rotate.py | cenyk1230/cogdl | fa1f74d5c3a15b5a52abfc7cd3f04dce4b7dbcce | [
"MIT"
] | 299 | 2019-08-08T07:33:10.000Z | 2022-03-31T09:30:07.000Z | import torch
from torch import Tensor
import torch.nn as nn
import torch.nn.functional as F
from .. import BaseModel, register_model
from .knowledge_base import KGEModel
@register_model("rotate")
class RotatE(KGEModel):
r"""
Implementation of RotatE model from the paper `"RotatE: Knowledge Graph Embedding by... | 35.980769 | 126 | 0.670764 | 1,671 | 0.893105 | 0 | 0 | 1,697 | 0.907002 | 0 | 0 | 377 | 0.201497 |
7d397f642d7aef0cc79a1f55aff842d15208de96 | 198 | py | Python | reviewboard/site/evolutions/localsite_public.py | BarracudaPff/code-golf-data-pythpn | 42e8858c2ebc6a061012bcadb167d29cebb85c5e | [
"MIT"
] | null | null | null | reviewboard/site/evolutions/localsite_public.py | BarracudaPff/code-golf-data-pythpn | 42e8858c2ebc6a061012bcadb167d29cebb85c5e | [
"MIT"
] | null | null | null | reviewboard/site/evolutions/localsite_public.py | BarracudaPff/code-golf-data-pythpn | 42e8858c2ebc6a061012bcadb167d29cebb85c5e | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
from django_evolution.mutations import AddField
from django.db import models
MUTATIONS = [AddField("LocalSite", "public", models.BooleanField, initial=False)] | 49.5 | 81 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0.09596 |
7d3abeec63de15c18972f766ba7f61dbee88a419 | 996 | py | Python | PrintDocment.py | Humein/Algorithm-Swift | 771eef9b6156bf4a1b165a96b9154bbf60d6fdf2 | [
"MIT"
] | null | null | null | PrintDocment.py | Humein/Algorithm-Swift | 771eef9b6156bf4a1b165a96b9154bbf60d6fdf2 | [
"MIT"
] | null | null | null | PrintDocment.py | Humein/Algorithm-Swift | 771eef9b6156bf4a1b165a96b9154bbf60d6fdf2 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding： utf-8 -*-
import os
print("方法分类",os.listdir("/Users/zhangxinxin/Code/Algorithm-Swift/方法分类"))
print("二分查找",os.listdir("/Users/zhangxinxin/Code/Algorithm-Swift/方法分类/二分查找"))
print("双指针",os.listdir("/Users/zhangxinxin/Code/Algorithm-Swift/方法分类/双指针"))
print("贪心算法",os.listdir("/Users/zh... | 49.8 | 87 | 0.737952 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 918 | 0.768844 |
7d3ea37ac9acf74a01f56012eb7dac104176c0aa | 1,392 | py | Python | mititools/mititools/serializers/frictionless.py | jimmymathews/MITI | 0745b051a02fd1055ff80af560683fdbb18d5651 | [
"MIT"
] | null | null | null | mititools/mititools/serializers/frictionless.py | jimmymathews/MITI | 0745b051a02fd1055ff80af560683fdbb18d5651 | [
"MIT"
] | null | null | null | mititools/mititools/serializers/frictionless.py | jimmymathews/MITI | 0745b051a02fd1055ff80af560683fdbb18d5651 | [
"MIT"
] | null | null | null | import os
from os import mkdir
from os.path import join
from os.path import exists
import json
import importlib.resources
import jinja2
from jinja2 import Environment
from jinja2 import BaseLoader
with importlib.resources.path('mititools', 'fd_schema.json.jinja') as file:
jinja_environment = Environment(loader=Ba... | 32.372093 | 75 | 0.75431 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 0.050287 |
7d400f7a4ed47d3dc5c52007ae1f8fcbedc5ec4c | 2,216 | py | Python | mvj/urls.py | tuomas777/mvj | e9a12e42c399b9fb77fd8fad85fc8f0f6d4ce405 | [
"MIT"
] | null | null | null | mvj/urls.py | tuomas777/mvj | e9a12e42c399b9fb77fd8fad85fc8f0f6d4ce405 | [
"MIT"
] | null | null | null | mvj/urls.py | tuomas777/mvj | e9a12e42c399b9fb77fd8fad85fc8f0f6d4ce405 | [
"MIT"
] | null | null | null | import rest_framework.urls
from django.conf import settings
from django.contrib import admin
from django.urls import include, path, re_path
from rest_framework import routers
from rest_framework_swagger.views import get_swagger_view
from leasing.views import ktj_proxy
from leasing.viewsets.basis_of_rent import BasisOf... | 43.45098 | 106 | 0.813628 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 358 | 0.161552 |
7d4204253a754ba266b79ffa36682d9cb36d8ff0 | 1,860 | py | Python | ines.py | FlightDev/YSPA | 5226712ebf305e7a3c686c43c996517a617f748b | [
"MIT"
] | null | null | null | ines.py | FlightDev/YSPA | 5226712ebf305e7a3c686c43c996517a617f748b | [
"MIT"
] | null | null | null | ines.py | FlightDev/YSPA | 5226712ebf305e7a3c686c43c996517a617f748b | [
"MIT"
] | null | null | null | import rebound
import math
from visual import *
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
k = 0.01720209895
how_long = 600
start_pos = vector(0, 0, 1.5)
start_v = vector(0.7, 0.7, 0)
sim = rebound.Simulation()
#sun:
sim.add(m = 1.)
#asteroid:
sim.add(m = 0, x = start... | 30 | 204 | 0.67043 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 152 | 0.08172 |
7d42e175bdde08c8e8e91c34aecbf8486806dec0 | 26,362 | py | Python | tests/common/utils/config_utils.py | anniyanvr/snaps-kubernetes | 6114d15fdb476a2235cd73bd9118072c698ba045 | [
"Apache-2.0"
] | 20 | 2018-07-24T23:32:11.000Z | 2021-11-08T10:28:45.000Z | tests/common/utils/config_utils.py | anniyanvr/snaps-kubernetes | 6114d15fdb476a2235cd73bd9118072c698ba045 | [
"Apache-2.0"
] | 195 | 2018-07-25T19:59:44.000Z | 2021-12-15T04:39:27.000Z | tests/common/utils/config_utils.py | anniyanvr/snaps-kubernetes | 6114d15fdb476a2235cd73bd9118072c698ba045 | [
"Apache-2.0"
] | 7 | 2018-08-23T11:35:57.000Z | 2020-06-29T08:25:25.000Z | # Copyright 2018 ARICENT HOLDINGS LUXEMBOURG SARL and Cable Television
# Laboratories, 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
#
#... | 43.50165 | 119 | 0.681739 | 25,543 | 0.968933 | 0 | 0 | 0 | 0 | 0 | 0 | 5,188 | 0.196798 |
7d44b7e8f5a379cc7b50059795fc7b51e4005b04 | 361 | py | Python | hy-data-analysis-with-python-spring-2020/part03-e07_meeting_planes/src/meeting_planes.py | Melimet/DAP2020 | 0854fe4ce8ace6abf6dc0bbcf71984595ff6d42a | [
"MIT"
] | null | null | null | hy-data-analysis-with-python-spring-2020/part03-e07_meeting_planes/src/meeting_planes.py | Melimet/DAP2020 | 0854fe4ce8ace6abf6dc0bbcf71984595ff6d42a | [
"MIT"
] | null | null | null | hy-data-analysis-with-python-spring-2020/part03-e07_meeting_planes/src/meeting_planes.py | Melimet/DAP2020 | 0854fe4ce8ace6abf6dc0bbcf71984595ff6d42a | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import numpy as np
def meeting_planes(a1, b1, c1, a2, b2, c2, a3, b3, c3):
return []
def main():
a1=1
b1=4
c1=5
a2=3
b2=2
c2=1
a3=2
b3=4
c3=1
x, y, z = meeting_planes(a1, b1, c1, a2, b2, c2, a3, b3, c3)
print(f"Planes meet at x={x}, y={y} and z={z}"... | 15.041667 | 64 | 0.518006 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 68 | 0.188366 |
7d473618101c1bf818cfd31f50f7230e32057c47 | 566 | py | Python | setup.py | iatlab/datas-utils | b8eef303de5a5d5a57182c0627b721dde0b6b300 | [
"MIT"
] | null | null | null | setup.py | iatlab/datas-utils | b8eef303de5a5d5a57182c0627b721dde0b6b300 | [
"MIT"
] | null | null | null | setup.py | iatlab/datas-utils | b8eef303de5a5d5a57182c0627b721dde0b6b300 | [
"MIT"
] | null | null | null | # -*- coding:utf-8 -*-
from setuptools import setup
setup(
name = "datas_utils",
packages = ["datas_utils",
"datas_utils.env",
"datas_utils.log",
"datas_utils.aws",
],
version = "0.0.1",
description = "Tools for Datas Project",
author ... | 28.3 | 74 | 0.55477 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 267 | 0.471731 |
7d47e3a2c72557ea55cdd53dea81dcefd1f28f34 | 181 | py | Python | Lib/fontTools/ttLib/tables/T_S_I_B_.py | twardoch/fonttools-py27 | 75b852d3f59fc0d03c6e78581530597d4c6368a1 | [
"MIT",
"BSD-3-Clause"
] | 240 | 2021-01-11T14:49:24.000Z | 2022-03-29T22:33:49.000Z | Lib/fontTools/ttLib/tables/T_S_I_B_.py | twardoch/fonttools-py27 | 75b852d3f59fc0d03c6e78581530597d4c6368a1 | [
"MIT",
"BSD-3-Clause"
] | 77 | 2021-01-12T20:23:30.000Z | 2022-03-28T12:14:34.000Z | Lib/fontTools/ttLib/tables/T_S_I_B_.py | twardoch/fonttools-py27 | 75b852d3f59fc0d03c6e78581530597d4c6368a1 | [
"MIT",
"BSD-3-Clause"
] | 28 | 2021-01-17T05:44:11.000Z | 2022-01-11T19:58:46.000Z | from __future__ import print_function, division, absolute_import
from fontTools.misc.py23 import *
from .T_S_I_V_ import table_T_S_I_V_
class table_T_S_I_B_(table_T_S_I_V_):
pass
| 25.857143 | 64 | 0.845304 | 43 | 0.237569 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7d4905910c88a739b35dc4edd1e33b3e65ae835a | 1,012 | py | Python | src/paths_to_inodes_paths.py | poponealex/suprenam | d57c99a2e43ad659b9ed70830402f46e7d31e02e | [
"MIT"
] | 8 | 2022-03-05T19:41:37.000Z | 2022-03-06T08:04:43.000Z | src/paths_to_inodes_paths.py | poponealex/suprenam | d57c99a2e43ad659b9ed70830402f46e7d31e02e | [
"MIT"
] | 2 | 2022-01-25T18:57:17.000Z | 2022-03-14T13:24:59.000Z | src/paths_to_inodes_paths.py | poponealex/suprenam | d57c99a2e43ad659b9ed70830402f46e7d31e02e | [
"MIT"
] | null | null | null | from pathlib import Path
from typing import List
from src.user_errors import NoItemToRenameError
from src.user_types import Inode, InodesPaths
def paths_to_inodes_paths(paths: List[Path]) -> InodesPaths:
"""
Given a list of paths, return a mapping from inodes to paths.
Args:
paths: list of Path ... | 28.111111 | 96 | 0.651186 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 430 | 0.424901 |
7d4b8c1cbb3320cfef8a2500aa0c61c3209c9888 | 9,655 | py | Python | faro/utils.py | cgiraldo/FARO | aa599fe8eebb489fe032549ec52771574a6d04bd | [
"MIT"
] | null | null | null | faro/utils.py | cgiraldo/FARO | aa599fe8eebb489fe032549ec52771574a6d04bd | [
"MIT"
] | null | null | null | faro/utils.py | cgiraldo/FARO | aa599fe8eebb489fe032549ec52771574a6d04bd | [
"MIT"
] | null | null | null | import re
import gensim.utils as gensim_utils
def normalize_text_proximity(message):
""" Clean text of dots between words
Keyword arguments:
message -- a plain sentence or paragraph
"""
sent = message.lower()
sent = sent.replace("á", "a")
sent = sent.replace("é", "e")
sent = sen... | 24.017413 | 70 | 0.46028 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,401 | 0.248525 |
7d4be85eed72cdda5ea7001420bb48d96b241f0b | 21,722 | py | Python | pysnmp/CHECKPOINT-TRAP-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 11 | 2021-02-02T16:27:16.000Z | 2021-08-31T06:22:49.000Z | pysnmp/CHECKPOINT-TRAP-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 75 | 2021-02-24T17:30:31.000Z | 2021-12-08T00:01:18.000Z | pysnmp/CHECKPOINT-TRAP-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module CHECKPOINT-TRAP-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CHECKPOINT-TRAP-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 17:31:16 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default... | 226.270833 | 2,269 | 0.768115 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10,348 | 0.476383 |
7d4c5d1e663bf350e478bc71a505fc49721c08e6 | 452 | py | Python | assistant/tests/internetcheck.py | SPARC-Auburn/Lab-Assistant | f86577f4ea53297f3c9febb84d967650d7196e61 | [
"Apache-2.0"
] | 9 | 2017-09-06T13:23:32.000Z | 2020-07-19T17:05:23.000Z | assistant/tests/internetcheck.py | SPARC-Auburn/Lab-Assistant | f86577f4ea53297f3c9febb84d967650d7196e61 | [
"Apache-2.0"
] | 29 | 2017-09-06T21:50:08.000Z | 2017-12-07T00:37:57.000Z | assistant/tests/internetcheck.py | SPARC-Auburn/Lab-Assistant | f86577f4ea53297f3c9febb84d967650d7196e61 | [
"Apache-2.0"
] | 6 | 2016-11-20T01:01:55.000Z | 2019-10-16T16:29:33.000Z | import socket
def is_connected():
REMOTE_SERVER = "www.google.com"
try:
# see if we can resolve the host name -- tells us if there is
# a DNS listening
host = socket.gethostbyname(REMOTE_SERVER)
# connect to the host -- tells us if the host is actually
# reachable
... | 22.6 | 69 | 0.615044 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 162 | 0.358407 |
7d4d805a56faeaf0887f5c53b13a814262347351 | 185,256 | py | Python | hrl_dynamic_mpc/src/dMdq_func.py | gt-ros-pkg/hrl-haptic-manip | 6458187075033ecd3a22fbcdc1a632df39b0cba1 | [
"Apache-2.0"
] | 1 | 2017-07-13T14:58:35.000Z | 2017-07-13T14:58:35.000Z | hrl_dynamic_mpc/src/dMdq_func.py | gt-ros-pkg/hrl-haptic-manip | 6458187075033ecd3a22fbcdc1a632df39b0cba1 | [
"Apache-2.0"
] | null | null | null | hrl_dynamic_mpc/src/dMdq_func.py | gt-ros-pkg/hrl-haptic-manip | 6458187075033ecd3a22fbcdc1a632df39b0cba1 | [
"Apache-2.0"
] | 2 | 2017-03-08T14:44:22.000Z | 2019-07-15T23:46:35.000Z | #
#
# Copyright (c) 2013, Georgia Tech Research Corporation
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright
# notice, ... | 60.999671 | 1,258 | 0.568268 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,789 | 0.009657 |
7d4d986638e6a4a9e2c7f55747f9a7a304afe8fb | 2,401 | py | Python | back/color.py | PoCInnovation/AI4UX | 78a60e35f755e2ab58d469748c363daa4a4222c9 | [
"MIT"
] | null | null | null | back/color.py | PoCInnovation/AI4UX | 78a60e35f755e2ab58d469748c363daa4a4222c9 | [
"MIT"
] | null | null | null | back/color.py | PoCInnovation/AI4UX | 78a60e35f755e2ab58d469748c363daa4a4222c9 | [
"MIT"
] | null | null | null | import extcolors
import PIL
def new_image(image, x1, y1, x2, y2):
area = (x1, y1, x2, y2)
tmp = image.crop(area)
return tmp
def nbColor_daltonisme(image, total):
protanopie = [] # Ne voit pas le rouge
deutéranopie = [] # Ne voit pas le vert
tritanopie = [] # Ne voit pas le bleu
color_... | 33.347222 | 106 | 0.63307 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 105 | 0.043677 |
7d4f4e96803718430d878ca088bcaed92b3079cc | 3,822 | py | Python | base_pool/mysql_pool/mysql_views.py | zhanzhangwei/kafka-study | 6be4167319b855c9560e92932aae628f87a5e680 | [
"Apache-2.0"
] | null | null | null | base_pool/mysql_pool/mysql_views.py | zhanzhangwei/kafka-study | 6be4167319b855c9560e92932aae628f87a5e680 | [
"Apache-2.0"
] | null | null | null | base_pool/mysql_pool/mysql_views.py | zhanzhangwei/kafka-study | 6be4167319b855c9560e92932aae628f87a5e680 | [
"Apache-2.0"
] | null | null | null | import json
import pymysql
import datetime
from dbutils.pooled_db import PooledDB
import pymysql
from conf.common import *
class MysqlClient(object):
__pool = None
def __init__(self):
"""
:param mincached:连接池中空闲连接的初始数量
:param maxcached:连接池中空闲连接的最大数量
:param maxshared:共享连接的最大数... | 30.576 | 113 | 0.545526 | 3,992 | 0.961928 | 0 | 0 | 361 | 0.086988 | 0 | 0 | 1,379 | 0.332289 |
7d507f34d285e67fb744c8b50084ce59c5e7e8eb | 2,065 | py | Python | script/sklearn_like_toolkit/warpper/wrapperGridSearchCV.py | demetoir/MLtools | 8c42fcd4cc71728333d9c116ade639fe57d50d37 | [
"MIT"
] | null | null | null | script/sklearn_like_toolkit/warpper/wrapperGridSearchCV.py | demetoir/MLtools | 8c42fcd4cc71728333d9c116ade639fe57d50d37 | [
"MIT"
] | null | null | null | script/sklearn_like_toolkit/warpper/wrapperGridSearchCV.py | demetoir/MLtools | 8c42fcd4cc71728333d9c116ade639fe57d50d37 | [
"MIT"
] | null | null | null | from sklearn import model_selection
from sklearn.externals.joblib import Parallel
from tqdm import tqdm
from script.sklearn_like_toolkit.warpper.base.MixIn import ClfWrapperMixIn, MetaBaseWrapperClfWithABC
import multiprocessing
CPU_COUNT = multiprocessing.cpu_count()
# TODO using packtools.grid_search Grid... | 42.142857 | 117 | 0.708475 | 1,568 | 0.759322 | 0 | 0 | 0 | 0 | 0 | 0 | 421 | 0.203874 |
7d51198f9982dd8e78ac7d042e281aeb60c728be | 3,331 | py | Python | cliente/templates/forms.py | ricardosmbr/smartcon | 6f6090b586e717b38066c20a7d620c4abae0a915 | [
"Apache-2.0"
] | null | null | null | cliente/templates/forms.py | ricardosmbr/smartcon | 6f6090b586e717b38066c20a7d620c4abae0a915 | [
"Apache-2.0"
] | 1 | 2021-06-02T00:21:09.000Z | 2021-06-02T00:21:09.000Z | cliente/templates/forms.py | ricardosmbr/smartcon | 6f6090b586e717b38066c20a7d620c4abae0a915 | [
"Apache-2.0"
] | null | null | null | from django import forms
from sistema.mail import send_mail_template
from .models import Cliente
from usuario.models import Usuario
from carteira.models import Carteira
from eth_account import Account
class MostrarCarteira(forms.ModelForm):
name = forms.CharField(widget=forms.TextInput(attrs={'readonly':'True'}))... | 36.604396 | 122 | 0.724107 | 2,426 | 0.727654 | 0 | 0 | 695 | 0.208458 | 0 | 0 | 749 | 0.224655 |
ada38af6048efec02fc99b80ce0ab842cf2993cb | 1,584 | py | Python | weibospider/settings.py | czyczyyzc/WeiboSpider | 41b9c97cb01d41cb4a62efdd452451b5ef25bdbc | [
"MIT"
] | 2 | 2021-03-26T03:02:52.000Z | 2021-04-01T11:08:46.000Z | weibospider/settings.py | czyczyyzc/WeiboSpider | 41b9c97cb01d41cb4a62efdd452451b5ef25bdbc | [
"MIT"
] | null | null | null | weibospider/settings.py | czyczyyzc/WeiboSpider | 41b9c97cb01d41cb4a62efdd452451b5ef25bdbc | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import os
import random
BOT_NAME = 'spider'
SPIDER_MODULES = ['spiders']
NEWSPIDER_MODULE = 'spiders'
ROBOTSTXT_OBEY = False
cookies_file = os.path.join(os.path.split(os.path.realpath(__file__))[0], 'cookies.txt')
with open(cookies_file, 'r', encoding='utf-8-sig', newline='') as f:
cooki... | 29.886792 | 160 | 0.704545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 618 | 0.385287 |