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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0b92f2299b1215c30cace0cac62bbb713a588d51 | 2,616 | py | Python | dohq_teamcity/models/branches.py | DenKoren/teamcity | 69acb4d1402c316129b4602882a9cce2d55cf926 | [
"MIT"
] | 23 | 2018-10-19T07:28:45.000Z | 2021-11-12T12:46:09.000Z | dohq_teamcity/models/branches.py | DenKoren/teamcity | 69acb4d1402c316129b4602882a9cce2d55cf926 | [
"MIT"
] | 31 | 2018-10-16T05:53:11.000Z | 2021-09-09T14:44:14.000Z | dohq_teamcity/models/branches.py | DenKoren/teamcity | 69acb4d1402c316129b4602882a9cce2d55cf926 | [
"MIT"
] | 12 | 2018-10-28T23:00:17.000Z | 2021-09-07T12:07:13.000Z | # coding: utf-8
from dohq_teamcity.custom.base_model import TeamCityObject
# from dohq_teamcity.models.branch import Branch # noqa: F401,E501
class Branches(TeamCityObject):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
A... | 23.357143 | 88 | 0.556957 |
dd4de33c81b5738e4f233e9e9ad8b734e1acc356 | 937 | py | Python | pyleecan/Methods/Mesh/NodeMat/get_group.py | helene-t/pyleecan | 8362de9b0e32b346051b38192e07f3a6974ea9aa | [
"Apache-2.0"
] | 1 | 2021-02-26T12:28:45.000Z | 2021-02-26T12:28:45.000Z | Methods/Mesh/NodeMat/get_group.py | magnetron/pyleecan | 2a3338f4ab080ad6488b5ab8746c3fea1f36f177 | [
"Apache-2.0"
] | null | null | null | Methods/Mesh/NodeMat/get_group.py | magnetron/pyleecan | 2a3338f4ab080ad6488b5ab8746c3fea1f36f177 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from ....definitions import PACKAGE_NAME
import numpy as np
def get_group(self, element):
"""Define a new NodeMat object based on a set of elements.
Parameters
----------
self : NodeMat
an NodeMat object
element : Element
an Element object
Retu... | 25.324324 | 85 | 0.608324 |
2ef12909fe6cd4d75d33a1ccf5cb68b6704d6bed | 2,659 | py | Python | source/measures/reverse_clarkeDE.py | marcos0318/UnsupervisedHypernymy | 79e20a74588132b04eca9e64638eb14adbb1bda9 | [
"Apache-2.0"
] | 51 | 2016-12-12T14:44:08.000Z | 2021-12-14T09:04:49.000Z | source/measures/reverse_clarkeDE.py | marcos0318/UnsupervisedHypernymy | 79e20a74588132b04eca9e64638eb14adbb1bda9 | [
"Apache-2.0"
] | 4 | 2018-05-25T13:54:23.000Z | 2019-10-30T17:46:12.000Z | source/measures/reverse_clarkeDE.py | marcos0318/UnsupervisedHypernymy | 79e20a74588132b04eca9e64638eb14adbb1bda9 | [
"Apache-2.0"
] | 12 | 2017-01-10T03:02:37.000Z | 2020-03-12T07:04:09.000Z | import sys
sys.path.append('../')
import codecs
import numpy as np
from docopt import docopt
from dsm_creation.common import *
def main():
"""
Reversed clarkeDE.
"""
# Get the arguments
args = docopt("""Compute the revered clarkeDE for a list of (x, y) pairs and save their scores.
Usage:
... | 32.036145 | 106 | 0.633321 |
1fd3ecc1df7be548c446f6ba40fee06642e55d60 | 4,810 | py | Python | toontown/safezone/GSPlayground.py | journeyfan/toontown-journey | 7a4db507e5c1c38a014fc65588086d9655aaa5b4 | [
"MIT"
] | 1 | 2020-09-27T22:12:47.000Z | 2020-09-27T22:12:47.000Z | toontown/safezone/GSPlayground.py | journeyfan/toontown-journey | 7a4db507e5c1c38a014fc65588086d9655aaa5b4 | [
"MIT"
] | null | null | null | toontown/safezone/GSPlayground.py | journeyfan/toontown-journey | 7a4db507e5c1c38a014fc65588086d9655aaa5b4 | [
"MIT"
] | 2 | 2020-09-26T20:37:18.000Z | 2020-11-15T20:55:33.000Z | from pandac.PandaModules import *
from toontown.toonbase import ToontownGlobals
from . import Playground
from toontown.launcher import DownloadForceAcknowledge
from toontown.building import Elevator
from toontown.toontowngui import TTDialog
from toontown.toonbase import TTLocalizer
from toontown.racing import RaceGloba... | 41.465517 | 148 | 0.688358 |
a7d03c2c4156d1a9037739801e5164df3c37265a | 6,107 | py | Python | book_figures/chapter10/fig_LINEAR_SVM.py | autocorr/astroML | 9bdeff87b9ae1993849bfc04d7f2865c05c8e52e | [
"BSD-2-Clause"
] | 3 | 2017-02-23T07:59:15.000Z | 2021-01-16T18:49:32.000Z | book_figures/chapter10/fig_LINEAR_SVM.py | cfroning/astroML | 9bdeff87b9ae1993849bfc04d7f2865c05c8e52e | [
"BSD-2-Clause"
] | null | null | null | book_figures/chapter10/fig_LINEAR_SVM.py | cfroning/astroML | 9bdeff87b9ae1993849bfc04d7f2865c05c8e52e | [
"BSD-2-Clause"
] | 1 | 2021-01-16T18:49:36.000Z | 2021-01-16T18:49:36.000Z | """
SVM classification of LINEAR data
---------------------------------
Figure 10.23
Supervised classification of periodic variable stars from the LINEAR data set
using a support vector machines method. The training sample includes five
input classes. The top row shows clusters derived using two attributes
(g - i and ... | 31.642487 | 79 | 0.577861 |
2a4382baa016b31372d733e20b79f342b30868ed | 2,043 | py | Python | sampler.py | suruoxi/DistanceWeightedSampling | ea8561ad0e6d6e728e3ec121fd8cf500c52f83f8 | [
"MIT"
] | 50 | 2019-03-06T06:35:31.000Z | 2022-03-13T09:29:24.000Z | sampler.py | suruoxi/DistanceWeightedSampling | ea8561ad0e6d6e728e3ec121fd8cf500c52f83f8 | [
"MIT"
] | 2 | 2021-07-12T10:04:55.000Z | 2021-08-19T18:22:13.000Z | sampler.py | suruoxi/DistanceWeightedSampling | ea8561ad0e6d6e728e3ec121fd8cf500c52f83f8 | [
"MIT"
] | 12 | 2019-07-22T03:20:06.000Z | 2022-02-25T11:53:25.000Z | import torch
import torchvision
import random
from torch.utils.data.sampler import Sampler
from scipy.special import comb
import numpy as np
class BalancedBatchSampler(Sampler):
def __init__(self, dataset, batch_size, batch_k, length=None):
assert (batch_size % batch_k == 0 ) and (batch_size > 0)
... | 35.842105 | 117 | 0.612335 |
9672b3d42221e23688e23909a43876f607de054e | 919 | py | Python | meetup2xibo/log_summarizer/log_summarizer.py | jshprentz/meetup2xibo | 236bef01305878943f27d246dac1b21cc78a521b | [
"MIT"
] | 3 | 2019-11-29T04:32:49.000Z | 2020-06-03T01:34:45.000Z | meetup2xibo/log_summarizer/log_summarizer.py | jshprentz/meetup2xibo | 236bef01305878943f27d246dac1b21cc78a521b | [
"MIT"
] | 194 | 2020-06-01T01:42:41.000Z | 2021-08-02T10:25:58.000Z | meetup2xibo/log_summarizer/log_summarizer.py | jshprentz/meetup2xibo | 236bef01305878943f27d246dac1b21cc78a521b | [
"MIT"
] | 1 | 2019-07-31T14:59:05.000Z | 2019-07-31T14:59:05.000Z | """Summarizes meetup2xibo logs, reporting meeting changes."""
class LogSummarizer:
"""Summarizes meetup2xibo logs, reporting meeting changes."""
def __init__(
self, input_stream, output_stream, summary, log_parser,
renderer):
"""Initialize with input and output streams, an em... | 31.689655 | 72 | 0.668118 |
489fe177546add9f790bcc1c5a94a4463292b61b | 23,247 | py | Python | Lib/unittest/test/test_result.py | inging44/python3 | fcd8d9d2ee54b46b757ecf34f284b4e60a43097a | [
"bzip2-1.0.6"
] | 1,872 | 2015-01-02T18:56:47.000Z | 2022-03-31T07:34:39.000Z | Lib/unittest/test/test_result.py | inging44/python3 | fcd8d9d2ee54b46b757ecf34f284b4e60a43097a | [
"bzip2-1.0.6"
] | 675 | 2015-02-27T09:01:01.000Z | 2022-03-31T14:03:25.000Z | Lib/unittest/test/test_result.py | inging44/python3 | fcd8d9d2ee54b46b757ecf34f284b4e60a43097a | [
"bzip2-1.0.6"
] | 278 | 2015-01-02T03:48:20.000Z | 2022-03-29T20:40:44.000Z | import io
import sys
import textwrap
from test import support
import traceback
import unittest
class Test_TestResult(unittest.TestCase):
# Note: there are not separate tests for TestResult.wasSuccessful(),
# TestResult.errors, TestResult.failures, TestResult.testsRun or
# TestResult.shouldStop because t... | 35.16944 | 94 | 0.613326 |
6b4966e6e7e676b10fd4b95b584fd165d4307399 | 22,447 | py | Python | test/functional/replace-by-fee.py | wolfoxonly/ofic | dea8f4aa577999947e1c8f969af60a03e13cae00 | [
"MIT"
] | null | null | null | test/functional/replace-by-fee.py | wolfoxonly/ofic | dea8f4aa577999947e1c8f969af60a03e13cae00 | [
"MIT"
] | null | null | null | test/functional/replace-by-fee.py | wolfoxonly/ofic | dea8f4aa577999947e1c8f969af60a03e13cae00 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2014-2017 The OFIChain Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test the RBF code."""
from test_framework.test_framework import OFIChainTestFramework
from test_frame... | 39.659011 | 127 | 0.628057 |
4b81942f15c18a151617a9dd9b4c54f4bae50f9d | 3,155 | py | Python | ChatBot/train.py | IEEE-LNMIIT-SB/IEEE-Project-Healthcarebot | 503c4e238741c15724f054a85ac8dd6f494bd0ab | [
"MIT"
] | 4 | 2020-07-31T09:25:53.000Z | 2021-07-22T08:53:31.000Z | ChatBot/train.py | ANUBHAVNATANI/IEEE_Project | 45bdd3e2f97e614951dcf22ab792ea1b08c0d7c3 | [
"MIT"
] | 1 | 2019-06-21T18:50:08.000Z | 2019-06-21T18:50:08.000Z | ChatBot/train.py | IEEE-LNMIIT-SB/IEEE-Project-Healthcarebot | 503c4e238741c15724f054a85ac8dd6f494bd0ab | [
"MIT"
] | 5 | 2019-04-04T14:24:25.000Z | 2021-02-02T15:24:53.000Z | import matplotlib.pyplot as plt
import numpy as np
import re
import os
import tensorflow_datasets as tfds
import tensorflow as tf
from bot import transformer
from dataClean import VOCAB_SIZE, MAX_LENGTH, dataset, preprocess_sentence, START_TOKEN, tokenizer, END_TOKEN
tf.keras.backend.clear_session()
# Hyper-paramete... | 26.291667 | 109 | 0.697623 |
5bbbb9f34d714ae4dbca7523d97576b3cc0761f0 | 227 | py | Python | test_client.py | lilydjwg/udt_py | 90cb36f3ef503bb45a9aa4f9dad5c86eddce0abd | [
"BSD-3-Clause"
] | 9 | 2015-01-11T06:59:40.000Z | 2022-02-02T14:57:59.000Z | test_client.py | lilydjwg/udt_py | 90cb36f3ef503bb45a9aa4f9dad5c86eddce0abd | [
"BSD-3-Clause"
] | 1 | 2015-01-15T21:03:51.000Z | 2015-01-16T03:05:25.000Z | test_client.py | lilydjwg/udt_py | 90cb36f3ef503bb45a9aa4f9dad5c86eddce0abd | [
"BSD-3-Clause"
] | 1 | 2020-06-20T08:39:06.000Z | 2020-06-20T08:39:06.000Z | #!/usr/bin/env python3
import udt
import socket
import time
s = udt.socket(socket.AF_INET, socket.SOCK_STREAM, 0)
s.connect(("localhost", 5555))
print("Sending...")
s.send(b"Hello", 0)
buf = s.recv(1024, 0)
print(repr(buf))
| 16.214286 | 53 | 0.696035 |
fa61eb46c68b282d79469e41e1fc056d7df96a73 | 139 | py | Python | __init__.py | 01shruti/Clustering | a79b590316066a4e0e6181add2642190515964fe | [
"MIT"
] | null | null | null | __init__.py | 01shruti/Clustering | a79b590316066a4e0e6181add2642190515964fe | [
"MIT"
] | null | null | null | __init__.py | 01shruti/Clustering | a79b590316066a4e0e6181add2642190515964fe | [
"MIT"
] | null | null | null | """Python implementations of the k-modes and k-prototypes clustering
algorithms, for clustering categorical data..
"""
__version__ = '0.8'
| 27.8 | 68 | 0.769784 |
16090d392c93705842bb9ea18d81fcfde657e120 | 1,537 | py | Python | tests/utils.py | adamchainz/django-perf-rec | f543053d9de5bc7f52f5761fc914d342c78e37a1 | [
"MIT"
] | 147 | 2018-08-21T14:18:27.000Z | 2022-03-31T23:16:58.000Z | tests/utils.py | adamchainz/django-perf-rec | f543053d9de5bc7f52f5761fc914d342c78e37a1 | [
"MIT"
] | 48 | 2018-07-15T11:07:08.000Z | 2022-03-26T16:00:22.000Z | tests/utils.py | adamchainz/django-perf-rec | f543053d9de5bc7f52f5761fc914d342c78e37a1 | [
"MIT"
] | 11 | 2018-07-13T10:09:44.000Z | 2021-02-13T18:15:12.000Z | import errno
import os
import shutil
import traceback
from contextlib import contextmanager
from functools import wraps
from typing import Any, Callable, Generator, List, Optional, TypeVar, cast
from unittest import mock
from django.db import connections
from django_perf_rec import pytest_plugin
def run_query(alias... | 26.050847 | 81 | 0.692908 |
278b55f01bd8917db386cec298525c14857cc6d0 | 3,278 | py | Python | admin/create_pyinstaller_binaries.py | admdev8/vws-cli | 593b115d2efc5ebd6e275ecb5e5cd5c79bf2f24a | [
"MIT"
] | 1 | 2020-11-02T10:58:32.000Z | 2020-11-02T10:58:32.000Z | admin/create_pyinstaller_binaries.py | admdev8/vws-cli | 593b115d2efc5ebd6e275ecb5e5cd5c79bf2f24a | [
"MIT"
] | 29 | 2020-12-21T07:45:08.000Z | 2021-05-03T07:31:12.000Z | admin/create_pyinstaller_binaries.py | admdev8/vws-cli | 593b115d2efc5ebd6e275ecb5e5cd5c79bf2f24a | [
"MIT"
] | null | null | null | """
Make PyInstaller binaries for the platform that this is being run on.
"""
import shutil
import subprocess
from pathlib import Path
from typing import Set
def remove_existing_files(scripts: Set[Path]) -> None:
"""
Remove files created when building binaries.
This is to stop interference with future b... | 30.635514 | 78 | 0.622636 |
5aa8c6b624b145c477e01768290431dc1f82d066 | 778 | py | Python | mAP/get_gt_txt.py | verages/YOLOv4_light | b8f707a7ab5c2f3b2fd58d34e287e6b28a625641 | [
"MIT"
] | null | null | null | mAP/get_gt_txt.py | verages/YOLOv4_light | b8f707a7ab5c2f3b2fd58d34e287e6b28a625641 | [
"MIT"
] | 1 | 2022-02-10T00:11:51.000Z | 2022-02-10T00:11:51.000Z | mAP/get_gt_txt.py | verages/YOLOv4_light | b8f707a7ab5c2f3b2fd58d34e287e6b28a625641 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# @Brief: 将真实图片转成mAP的txt检测格式
import os
import sys
import config.config as cfg
image_infos = open("../config/test.txt").read().strip().split('\n')
if not os.path.exists("./input"):
os.makedirs("./input")
if not os.path.exists("./input/ground-truth"):
os.makedirs("./input/ground-truth")... | 29.923077 | 92 | 0.611825 |
3fb8663859c84db6762b66ea4a81ec5dc735af8a | 1,534 | py | Python | app/views.py | DgFutureLab/satoyama-api | cc8d80ad4c437d67aa53ba619aa4904350be09f8 | [
"MIT"
] | 4 | 2015-10-05T18:35:41.000Z | 2018-01-09T20:54:29.000Z | app/views.py | DgFutureLab/satoyama-api | cc8d80ad4c437d67aa53ba619aa4904350be09f8 | [
"MIT"
] | 56 | 2015-01-14T08:19:47.000Z | 2015-04-03T01:23:55.000Z | app/views.py | DgFutureLab/satoyama-api | cc8d80ad4c437d67aa53ba619aa4904350be09f8 | [
"MIT"
] | null | null | null | # coding: utf-8
from app import flapp
from flask import render_template, request
import datetime
import json
from resources import ApiResponse
from satoyama.models import Node, Reading
import zlib
import sys
from resources import put_reading_in_database, SensorData
@flapp.route('/', methods = ['GET'])
def index():
... | 31.306122 | 140 | 0.693611 |
2ef2813e6b5f52b723100a662d5ce5e8abe06257 | 5,693 | py | Python | tnmf/tests/test_sparsity_inhibition.py | AdrianSosic/tnmf | 3f4fe14bdf31385cb2ec7aec0f827422b0be58bb | [
"Apache-2.0"
] | 3 | 2021-07-14T20:24:10.000Z | 2021-07-29T15:03:24.000Z | tnmf/tests/test_sparsity_inhibition.py | AdrianSosic/tnmf | 3f4fe14bdf31385cb2ec7aec0f827422b0be58bb | [
"Apache-2.0"
] | 16 | 2021-07-12T07:44:51.000Z | 2021-11-12T14:34:46.000Z | tnmf/tests/test_sparsity_inhibition.py | AdrianSosic/tnmf | 3f4fe14bdf31385cb2ec7aec0f827422b0be58bb | [
"Apache-2.0"
] | 2 | 2021-07-12T07:53:11.000Z | 2021-08-12T15:09:56.000Z | """
Test the decomposition on two identical images with different values for sparsity and inhibition and
ensure that all backends yield the same reconstruction energy and L0 and L1 norm for the activations H
"""
import logging
from typing import Dict
import numpy as np
import pytest
from tnmf.TransformInvariantNMF i... | 55.271845 | 178 | 0.701915 |
a35de987792d5307e509e006cff12401826a4689 | 461 | py | Python | trainer.py | mhwasil/pointcloud_classification | c4dd36db556087cc90dca16e31958adfd3641482 | [
"MIT"
] | 4 | 2021-11-14T14:54:03.000Z | 2022-01-26T14:47:17.000Z | trainer.py | mhwasil/cnn_pointcloud_classification | c4dd36db556087cc90dca16e31958adfd3641482 | [
"MIT"
] | 1 | 2019-09-17T09:54:34.000Z | 2019-09-17T09:54:34.000Z | trainer.py | mhwasil/pointcloud_classification | c4dd36db556087cc90dca16e31958adfd3641482 | [
"MIT"
] | 1 | 2019-12-05T19:46:16.000Z | 2019-12-05T19:46:16.000Z | import argparse
from pointcloud_classification import PointCloudClassification
parser = argparse.ArgumentParser()
parser.add_argument('--model', default='DGCNN', help='Model (DGCNNC, DGCNN, 3DmFV, SpiderCNN, PointNet, PointNet2)')
parser.add_argument('--train', action='store_true')
config_file = "./config/config.yaml... | 38.416667 | 116 | 0.778742 |
8363de828d612edc1705b79e6e2414a3a5a40efe | 10,261 | py | Python | research/astronet/astronet/astro_model/astro_model.py | xychu/models | 0344c5503ee55e24f0de7f37336a6e08f10976fd | [
"Apache-2.0"
] | 51 | 2018-06-06T06:58:12.000Z | 2021-09-29T18:43:03.000Z | research/astronet/astronet/astro_model/astro_model.py | xychu/models | 0344c5503ee55e24f0de7f37336a6e08f10976fd | [
"Apache-2.0"
] | 3 | 2018-07-17T12:53:05.000Z | 2019-03-29T04:43:37.000Z | research/astronet/astronet/astro_model/astro_model.py | xychu/models | 0344c5503ee55e24f0de7f37336a6e08f10976fd | [
"Apache-2.0"
] | 43 | 2018-12-28T15:01:44.000Z | 2022-02-15T06:23:05.000Z | # Copyright 2018 The TensorFlow 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 ... | 33.642623 | 80 | 0.667869 |
7803cf2b102afdb371a4f4d695764b9c69965745 | 1,570 | py | Python | xml/python/create/xml_create.py | ekzemplaro/data_base_language | e77030367ffc595f1fac8583f03f9a3ce5eb1611 | [
"MIT",
"Unlicense"
] | 3 | 2015-05-12T16:44:27.000Z | 2021-02-09T00:39:24.000Z | xml/python/create/xml_create.py | ekzemplaro/data_base_language | e77030367ffc595f1fac8583f03f9a3ce5eb1611 | [
"MIT",
"Unlicense"
] | null | null | null | xml/python/create/xml_create.py | ekzemplaro/data_base_language | e77030367ffc595f1fac8583f03f9a3ce5eb1611 | [
"MIT",
"Unlicense"
] | null | null | null | #! /usr/bin/python3
# -*- coding: utf-8 -*-
#
# xml_create.py
#
# Feb/17/2018
#
#
# --------------------------------------------------------------------
import sys
import string
import dicttoxml
#
sys.path.append ('/var/www/data_base/common/python_common')
#
from file_io import file_write_proc
from text_manipulate ... | 30.784314 | 70 | 0.585987 |
0f287107f8f85c494787c478001e7a4ebe0879d5 | 8,455 | py | Python | gitgud/util/parsing.py | osai-mirrors/git-gud | ebf07774a01fca2f488e1b6bbbe9eb5bf6790762 | [
"MIT"
] | 133 | 2019-12-19T20:04:01.000Z | 2022-03-26T23:25:22.000Z | gitgud/util/parsing.py | osai-mirrors/git-gud | ebf07774a01fca2f488e1b6bbbe9eb5bf6790762 | [
"MIT"
] | 243 | 2019-11-15T04:39:20.000Z | 2021-04-22T13:08:02.000Z | gitgud/util/parsing.py | osai-mirrors/git-gud | ebf07774a01fca2f488e1b6bbbe9eb5bf6790762 | [
"MIT"
] | 30 | 2019-10-03T01:56:35.000Z | 2019-11-13T08:02:08.000Z | from copy import deepcopy
def parse_spec(spec_path):
# The purpose of this method is to get a more computer-readable commit tree
spec = spec_path.read_text()
commits = [] # List of (commit_name, [parents], [branches], [tags])
all_branches = set()
all_tags = set()
for line in spec.split('\n'... | 29.256055 | 79 | 0.582377 |
9f05cbd5339e7390d729c5c77c7a3933c19b16ab | 6,262 | py | Python | ckanapi/cli/main.py | nicholsn/ckanapi | c829c541447b3de7c31c47e48dc6cfa834152319 | [
"MIT"
] | null | null | null | ckanapi/cli/main.py | nicholsn/ckanapi | c829c541447b3de7c31c47e48dc6cfa834152319 | [
"MIT"
] | null | null | null | ckanapi/cli/main.py | nicholsn/ckanapi | c829c541447b3de7c31c47e48dc6cfa834152319 | [
"MIT"
] | null | null | null | """ckanapi command line interface
Usage:
ckanapi action ACTION_NAME
[(KEY=STRING | KEY:JSON | KEY@FILE ) ... | -i | -I JSON_INPUT]
[-j | -J] [[-c CONFIG] [-u USER] | -r SITE_URL [-a APIKEY] [-g]]
ckanapi load datasets
[--upload-resources] [-I JSONL_INPUT] [-s START] [-m MAX]
... | 43.186207 | 79 | 0.602523 |
02642e52d3d7f60c3f9ec548e40cd36d10ebb165 | 1,713 | py | Python | v1.0.0.test/toontown/distributed/ToontownInternalRepository.py | TTOFFLINE-LEAK/ttoffline | bb0e91704a755d34983e94288d50288e46b68380 | [
"MIT"
] | 4 | 2019-07-01T15:46:43.000Z | 2021-07-23T16:26:48.000Z | v1.0.0.test/toontown/distributed/ToontownInternalRepository.py | TTOFFLINE-LEAK/ttoffline | bb0e91704a755d34983e94288d50288e46b68380 | [
"MIT"
] | 1 | 2019-06-29T03:40:05.000Z | 2021-06-13T01:15:16.000Z | v1.0.0.test/toontown/distributed/ToontownInternalRepository.py | TTOFFLINE-LEAK/ttoffline | bb0e91704a755d34983e94288d50288e46b68380 | [
"MIT"
] | 4 | 2019-07-28T21:18:46.000Z | 2021-02-25T06:37:25.000Z | from direct.directnotify import DirectNotifyGlobal
from direct.distributed.AstronInternalRepository import AstronInternalRepository
from direct.distributed.PyDatagram import PyDatagram
from otp.distributed import DCReader
from otp.distributed.OtpDoGlobals import *
class ToontownInternalRepository(AstronInternalReposit... | 39.837209 | 122 | 0.726211 |
47e039ea092bfc12bcdda0fc4e05d1e9a8fa7759 | 140,256 | py | Python | python/ccxt/async_support/bitget.py | Serg-Maximchuk/ccxt | 60b49e1f74d10ea42734ec9f0c7e20de07ac4585 | [
"MIT"
] | null | null | null | python/ccxt/async_support/bitget.py | Serg-Maximchuk/ccxt | 60b49e1f74d10ea42734ec9f0c7e20de07ac4585 | [
"MIT"
] | 1 | 2020-12-09T14:07:04.000Z | 2020-12-09T14:07:04.000Z | python/ccxt/async_support/bitget.py | DelAnt/ccxt | 3d6b7bbaacbf3a5a8b9e622e8884b46f440e687b | [
"MIT"
] | 1 | 2022-02-01T10:37:45.000Z | 2022-02-01T10:37:45.000Z | # -*- coding: utf-8 -*-
# PLEASE DO NOT EDIT THIS FILE, IT IS GENERATED AND WILL BE OVERWRITTEN:
# https://github.com/ccxt/ccxt/blob/master/CONTRIBUTING.md#how-to-contribute-code
from ccxt.async_support.base.exchange import Exchange
import hashlib
from ccxt.base.errors import ExchangeError
from ccxt.base.errors impor... | 50.817391 | 519 | 0.503358 |
5f9854a03e71c150a31386b00afdabe350a5e8e5 | 7,390 | py | Python | samples/DocumentManagement/Program.py | afiram/azure-documentdb-python-v2.2.1 | e6af4adac47b2dcd9774f20659a61d23c0a09971 | [
"MIT"
] | 1 | 2017-11-03T21:11:48.000Z | 2017-11-03T21:11:48.000Z | samples/DocumentManagement/Program.py | afiram/azure-documentdb-python-v2.2.1 | e6af4adac47b2dcd9774f20659a61d23c0a09971 | [
"MIT"
] | null | null | null | samples/DocumentManagement/Program.py | afiram/azure-documentdb-python-v2.2.1 | e6af4adac47b2dcd9774f20659a61d23c0a09971 | [
"MIT"
] | 3 | 2017-11-06T16:13:48.000Z | 2020-03-30T01:09:16.000Z | import pydocumentdb.documents as documents
import pydocumentdb.document_client as document_client
import pydocumentdb.errors as errors
import datetime
import config as cfg
# ----------------------------------------------------------------------------------------------------------
# Prerequistes -
#
# 1. An Azure Do... | 40.163043 | 131 | 0.573884 |
562147c500c374b45610675f3d7660c2a7992def | 1,046 | py | Python | gw2/api/build.py | Invisi/python-gw2 | 0e46b30ec646179c2337b92981c8625a37dace3a | [
"MIT"
] | null | null | null | gw2/api/build.py | Invisi/python-gw2 | 0e46b30ec646179c2337b92981c8625a37dace3a | [
"MIT"
] | null | null | null | gw2/api/build.py | Invisi/python-gw2 | 0e46b30ec646179c2337b92981c8625a37dace3a | [
"MIT"
] | null | null | null | import httpx
from gw2 import models
from gw2.api._base import Base
class Build(Base[models.Build], _type=models.Build):
pass
class BuildManifest:
@staticmethod
async def get() -> models.BuildManifest:
"""
Retrieves the build ID (and some additional information) from the asset
CD... | 26.820513 | 79 | 0.528681 |
f173cf34840d05550cb2320a02256d60a4f1b055 | 705 | py | Python | src/testingStage/Arcade/arcadeWindow.py | Kyzarok/SNNProject | 14b555e221dbdd5100cb4f6333e49030423462ea | [
"BSD-2-Clause"
] | 2 | 2020-03-20T13:30:19.000Z | 2020-03-20T13:30:57.000Z | template.py | catherinedevlin/holy-grail-run-away | ff9ae8a68dafdbe4ec70cf824452e862584cc139 | [
"MIT"
] | null | null | null | template.py | catherinedevlin/holy-grail-run-away | ff9ae8a68dafdbe4ec70cf824452e862584cc139 | [
"MIT"
] | null | null | null | import arcade
SCREEN_WIDTH = 800
SCREEN_HEIGHT = 600
class MyGame(arcade.Window):
""" Main application class. """
def __init__(self, width, height):
super().__init__(width, height)
arcade.set_background_color(arcade.color.AMAZON)
def setup(self):
# Set up your game here
... | 19.054054 | 68 | 0.611348 |
c7237b09f049b187f5d7be01da9f6c544984a19e | 3,498 | py | Python | elaina/modules/country.py | Vishal324140/ElainaRobot | d72092e9d2ddc9f94f21374cad57aea390612586 | [
"MIT"
] | 1 | 2022-01-31T08:44:33.000Z | 2022-01-31T08:44:33.000Z | elaina/modules/country.py | Vishal324140/ElainaRobot | d72092e9d2ddc9f94f21374cad57aea390612586 | [
"MIT"
] | 8 | 2022-02-10T01:02:50.000Z | 2022-03-31T23:30:07.000Z | elaina/modules/country.py | animeSubbingTeam/MitsuhaTaki | 64ff3ba483656bc1246c863ebffbaddd76cb145f | [
"MIT"
] | 1 | 2022-02-14T03:44:41.000Z | 2022-02-14T03:44:41.000Z | # MIT License
# Copyright (c) 2022 Zenitsu Prjkt™
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge,... | 26.5 | 80 | 0.636078 |
304a53c29e80359a9fbdde576040e8bfa4454325 | 10,956 | py | Python | pydriller/repository_mining.py | sposs/pydriller | fab78492ebfde176863b73f55e8da1ea538e6ffc | [
"Apache-2.0"
] | null | null | null | pydriller/repository_mining.py | sposs/pydriller | fab78492ebfde176863b73f55e8da1ea538e6ffc | [
"Apache-2.0"
] | null | null | null | pydriller/repository_mining.py | sposs/pydriller | fab78492ebfde176863b73f55e8da1ea538e6ffc | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 Davide Spadini
#
# 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... | 44.356275 | 124 | 0.634995 |
e8fa154f9cd6565149a59dfd46df8a6330dabe14 | 9,658 | py | Python | asposeslidescloud/models/image_export_options.py | aspose-slides-cloud/aspose-slides-cloud-python | 3ee53c11a22c7efc8aaf8377bc72b41102821ca2 | [
"MIT"
] | null | null | null | asposeslidescloud/models/image_export_options.py | aspose-slides-cloud/aspose-slides-cloud-python | 3ee53c11a22c7efc8aaf8377bc72b41102821ca2 | [
"MIT"
] | null | null | null | asposeslidescloud/models/image_export_options.py | aspose-slides-cloud/aspose-slides-cloud-python | 3ee53c11a22c7efc8aaf8377bc72b41102821ca2 | [
"MIT"
] | 1 | 2020-12-25T16:28:49.000Z | 2020-12-25T16:28:49.000Z | # coding: utf-8
# -----------------------------------------------------------------------------------
# <copyright company="Aspose">
# Copyright (c) 2018 Aspose.Slides for Cloud
# </copyright>
# <summary>
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associa... | 39.420408 | 177 | 0.623317 |
e509293532131f538fa17bd220aa42e9214d5e85 | 7,570 | py | Python | sciencebirdsagents/PhyreAgents/RPIN/evaluator_plan.py | phy-q/benchmark | 0a0fd31614039f3620369582017d9bd0a1c88b11 | [
"MIT"
] | 24 | 2021-09-01T09:50:06.000Z | 2022-02-01T16:10:23.000Z | sciencebirdsagents/PhyreAgents/RPIN/evaluator_plan.py | phy-q/benchmark | 0a0fd31614039f3620369582017d9bd0a1c88b11 | [
"MIT"
] | 4 | 2021-10-06T04:55:39.000Z | 2021-12-07T03:56:46.000Z | sciencebirdsagents/PhyreAgents/RPIN/evaluator_plan.py | phy-q/benchmark | 0a0fd31614039f3620369582017d9bd0a1c88b11 | [
"MIT"
] | 3 | 2021-09-15T05:48:58.000Z | 2021-10-18T06:07:13.000Z | import os
import cv2
import torch
import phyre
import hickle
import random
import numpy as np
from tqdm import tqdm
from utils.config import _C as C
from utils.bbox import xyxy_to_rois, xywh2xyxy
class PlannerPHYRE(object):
def __init__(self, device, model, num_gpus, output_dir):
self.device = device
... | 46.158537 | 120 | 0.568692 |
da98a50c16b6c653607d6ef061ca79f31c99b627 | 7,390 | py | Python | utils/misc.py | salvatoretrimarchi/FCSR-GAN | ce78be39f0e690a4389dbcb69d244b2f00fb2803 | [
"Apache-2.0"
] | 45 | 2019-10-25T05:41:17.000Z | 2022-03-23T01:23:51.000Z | utils/misc.py | guangwei-gao/FCSR-GAN | 82b219f95397baa126d77c70ecabe3cc17b4bdc2 | [
"Apache-2.0"
] | 5 | 2019-11-19T06:15:21.000Z | 2022-02-15T09:55:20.000Z | utils/misc.py | guangwei-gao/FCSR-GAN | 82b219f95397baa126d77c70ecabe3cc17b4bdc2 | [
"Apache-2.0"
] | 8 | 2019-11-08T20:25:34.000Z | 2020-11-10T14:00:21.000Z | import os
import math
from PIL import Image
import numpy as np
import torch
import torchvision
# from skimage.measure import compare_ssim
def faceparsing2im(mask):
mask = mask.detach()
palette = [0, 0, 0, 128, 0, 0, 0, 128, 0, 128, 128, 0, 0, 0, 128, 128, 0, 128, 0, 128, 128,
128, 128, 128, 64... | 26.970803 | 111 | 0.575372 |
2e4d113cb15586987ee05730323f793f071a2bd1 | 1,954 | py | Python | src/ingest-pipeline/airflow/dags/obsolete/trig_devtest.py | AustinHartman/ingest-pipeline | 788d9310792c9396a38650deda3dad11483b368c | [
"MIT"
] | 6 | 2020-02-18T19:09:59.000Z | 2021-10-07T20:38:46.000Z | src/ingest-pipeline/airflow/dags/obsolete/trig_devtest.py | AustinHartman/ingest-pipeline | 788d9310792c9396a38650deda3dad11483b368c | [
"MIT"
] | 324 | 2020-02-06T22:08:50.000Z | 2022-03-24T20:44:33.000Z | src/ingest-pipeline/airflow/dags/obsolete/trig_devtest.py | AustinHartman/ingest-pipeline | 788d9310792c9396a38650deda3dad11483b368c | [
"MIT"
] | 2 | 2020-07-20T14:43:49.000Z | 2021-10-29T18:24:36.000Z | from airflow import DAG
from airflow.operators.dagrun_operator import DagRunOrder
from airflow.operators.multi_dagrun import TriggerMultiDagRunOperator
from datetime import datetime, timedelta
from pprint import pprint
import utils
# Following are defaults which can be overridden later on
default_args = {
'owner'... | 32.566667 | 94 | 0.66172 |
a6f789feb75055bd8ad2ab68564d9e456e540239 | 1,784 | py | Python | weasyprint/tests/test_layout/test_shrink_to_fit.py | eyseman/WeasyPrint | ee316cdb780c4aec84442ef4f8cbfd4abd239330 | [
"BSD-3-Clause"
] | 3 | 2020-07-26T09:18:40.000Z | 2021-02-18T00:41:58.000Z | weasyprint/tests/test_layout/test_shrink_to_fit.py | eyseman/WeasyPrint | ee316cdb780c4aec84442ef4f8cbfd4abd239330 | [
"BSD-3-Clause"
] | null | null | null | weasyprint/tests/test_layout/test_shrink_to_fit.py | eyseman/WeasyPrint | ee316cdb780c4aec84442ef4f8cbfd4abd239330 | [
"BSD-3-Clause"
] | null | null | null | """
weasyprint.tests.layout.shrink_to_fit
-------------------------------------
Tests for shrink-to-fit algorithm.
"""
import pytest
from ..test_boxes import render_pages as parse
from ..testing_utils import assert_no_logs
@assert_no_logs
@pytest.mark.parametrize('margin_left', range(1, 10))
@pytest.m... | 29.733333 | 71 | 0.575112 |
73bce77d3806285f0af6bcb0dbb99a3c081c6af0 | 4,859 | py | Python | docs/conf.py | bellockk/AMT | c88f1e2407c15110062919182908924673615a6d | [
"MIT"
] | null | null | null | docs/conf.py | bellockk/AMT | c88f1e2407c15110062919182908924673615a6d | [
"MIT"
] | null | null | null | docs/conf.py | bellockk/AMT | c88f1e2407c15110062919182908924673615a6d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# amt documentation build configuration file, created by
# sphinx-quickstart on Fri Jun 9 13:47:02 2017.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogen... | 29.628049 | 77 | 0.683474 |
27d313c6ab27970d6b819991da88538b8b316bab | 2,319 | py | Python | xmind/core/relationship.py | qyloxe/xmind-sdk-python | 58b2c7f1971abd941cd0f28e88388ec93ed2c53d | [
"MIT"
] | 351 | 2015-01-04T03:00:25.000Z | 2022-03-30T17:47:45.000Z | xmind/core/relationship.py | qyloxe/xmind-sdk-python | 58b2c7f1971abd941cd0f28e88388ec93ed2c53d | [
"MIT"
] | 16 | 2015-04-01T07:34:03.000Z | 2019-05-15T01:38:45.000Z | xmind/core/relationship.py | qyloxe/xmind-sdk-python | 58b2c7f1971abd941cd0f28e88388ec93ed2c53d | [
"MIT"
] | 143 | 2015-02-17T08:35:51.000Z | 2022-02-28T13:52:35.000Z | #!/usr/bin/env python
#-*- coding: utf-8 -*-
"""
xmind.core.relationship
~~~~~~~~~~~~~~~~~~~
:copyright:
:license:
"""
__author__ = "aiqi@xmind.net <Woody Ai>"
from . import const
from .mixin import WorkbookMixinElement
from .topic import TopicElement
from .title import TitleElement
class Relati... | 24.15625 | 71 | 0.664942 |
0759ddffcdbf2afb03ef80b8ae91ef4f666f4bbc | 1,045 | py | Python | tap_list_providers/migrations/0004_auto_20201115_1459.py | hsv-dot-beer/hsvdotbeer | e1a086e99f75a30a9ebf6745e7229d6e688dd346 | [
"Apache-2.0"
] | 18 | 2018-12-06T01:46:37.000Z | 2021-10-17T10:37:17.000Z | tap_list_providers/migrations/0004_auto_20201115_1459.py | hsv-dot-beer/hsvdotbeer | e1a086e99f75a30a9ebf6745e7229d6e688dd346 | [
"Apache-2.0"
] | 194 | 2018-11-04T12:50:49.000Z | 2022-01-06T22:43:43.000Z | tap_list_providers/migrations/0004_auto_20201115_1459.py | hsv-dot-beer/hsvdotbeer | e1a086e99f75a30a9ebf6745e7229d6e688dd346 | [
"Apache-2.0"
] | 7 | 2019-03-18T05:36:06.000Z | 2020-12-25T03:27:29.000Z | # Generated by Django 3.1.2 on 2020-11-15 14:59
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("tap_list_providers", "0003_auto_20200602_2202"),
]
operations = [
migrations.AlterField(
model_name="apiratelimittimestamp",
... | 30.735294 | 71 | 0.467943 |
14368dc749bfa2f766cb807a801a78edfc4b811f | 2,340 | py | Python | asgimod/mixins.py | paaksing/asgimod | bfbfe621ca0ca0b880a217afe147f2956481435b | [
"MIT"
] | 11 | 2021-12-07T10:12:26.000Z | 2022-03-06T13:30:39.000Z | asgimod/mixins.py | paaksing/asgimod | bfbfe621ca0ca0b880a217afe147f2956481435b | [
"MIT"
] | null | null | null | asgimod/mixins.py | paaksing/asgimod | bfbfe621ca0ca0b880a217afe147f2956481435b | [
"MIT"
] | null | null | null | from typing import Type, TypeVar
from django.db import models, DEFAULT_DB_ALIAS
from django.core.exceptions import SynchronousOnlyOperation
from .sync import sync_to_async
from .db import AsyncQuerySet, AsyncManyToManyRelatedQuerySet, AsyncManyToOneRelatedQuerySet
T = TypeVar("T", bound=models.Model)
class AsyncM... | 37.142857 | 141 | 0.686752 |
f841b63e6faf9a505a62aac654838c1f51fbb7ae | 9,440 | py | Python | gammacat/webpage.py | cento14/gamma-cat | 332ca06c4e1880fb7a2f3bd4362150927fb3a1ad | [
"BSD-3-Clause"
] | 13 | 2016-08-25T09:21:14.000Z | 2021-09-09T08:00:01.000Z | gammacat/webpage.py | cento14/gamma-cat | 332ca06c4e1880fb7a2f3bd4362150927fb3a1ad | [
"BSD-3-Clause"
] | 221 | 2016-08-26T15:55:38.000Z | 2020-12-04T14:47:07.000Z | gammacat/webpage.py | cento14/gamma-cat | 332ca06c4e1880fb7a2f3bd4362150927fb3a1ad | [
"BSD-3-Clause"
] | 18 | 2016-08-26T15:32:52.000Z | 2019-11-05T13:00:13.000Z | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
Make gamma-cat webpage (in combination with Sphinx).
"""
import logging
import shutil
import urllib.parse
from gammapy.catalog import GammaCatResourceIndex
from .input import BasicSourceList
from .info import gammacat_info
from .utils import load_json,... | 37.911647 | 119 | 0.663347 |
36d5db12bbfa7afae73b3aff46f599f4bc86024a | 1,525 | py | Python | Python/minimum-ascii-delete-sum-for-two-strings.py | black-shadows/LeetCode-Solutions | b1692583f7b710943ffb19b392b8bf64845b5d7a | [
"Fair",
"Unlicense"
] | null | null | null | Python/minimum-ascii-delete-sum-for-two-strings.py | black-shadows/LeetCode-Solutions | b1692583f7b710943ffb19b392b8bf64845b5d7a | [
"Fair",
"Unlicense"
] | null | null | null | Python/minimum-ascii-delete-sum-for-two-strings.py | black-shadows/LeetCode-Solutions | b1692583f7b710943ffb19b392b8bf64845b5d7a | [
"Fair",
"Unlicense"
] | null | null | null | # Time: O(m * n)
# Space: O(n)
class Solution(object):
def minimumDeleteSum(self, s1, s2):
"""
:type s1: str
:type s2: str
:rtype: int
"""
dp = [[0] * (len(s2)+1) for _ in xrange(2)]
for j in xrange(len(s2)):
dp[0][j+1] = dp[0][j] + o... | 29.326923 | 72 | 0.354098 |
06ee2e987d3fd76ac7d03dbff316edb75e78d34e | 1,178 | py | Python | flaskr/auth.py | ithackston/pi-hole-dhcp-monitor | 50ee10d92b09d4d234b4b4a65ce54e8a459f8c8e | [
"MIT"
] | null | null | null | flaskr/auth.py | ithackston/pi-hole-dhcp-monitor | 50ee10d92b09d4d234b4b4a65ce54e8a459f8c8e | [
"MIT"
] | null | null | null | flaskr/auth.py | ithackston/pi-hole-dhcp-monitor | 50ee10d92b09d4d234b4b4a65ce54e8a459f8c8e | [
"MIT"
] | null | null | null | import functools
from flask import (
Blueprint, flash, g, redirect, render_template, request, session, url_for
)
from werkzeug.security import check_password_hash, generate_password_hash
from simplepam import authenticate
bp = Blueprint('auth', __name__)
@bp.route('/login', methods=('GET', 'POST'))
def login():
... | 25.06383 | 77 | 0.657046 |
1371ba90cf8ea1380d4992570b1d80a5821f79f3 | 429 | py | Python | ecommerceApplicationServer/ecommerceApplicationServer/wsgi.py | ranjanapul/e-commerce-platform | eab6298ff5d1969fc333bdc46ced8209d551fc1b | [
"MIT"
] | 1 | 2022-03-12T18:09:02.000Z | 2022-03-12T18:09:02.000Z | ecommerceApplicationServer/ecommerceApplicationServer/wsgi.py | ranjanapul/e-commerce-platform | eab6298ff5d1969fc333bdc46ced8209d551fc1b | [
"MIT"
] | null | null | null | ecommerceApplicationServer/ecommerceApplicationServer/wsgi.py | ranjanapul/e-commerce-platform | eab6298ff5d1969fc333bdc46ced8209d551fc1b | [
"MIT"
] | null | null | null | """
WSGI config for ecommerceApplicationServer project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/4.0/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setde... | 25.235294 | 86 | 0.804196 |
f2195e652314ba2b18402df2fea5e08b0a9c5b46 | 6,341 | py | Python | qa/rpc-tests/spentindex.py | n0cte/omnicore | 99a9ad6f08884bb7a86063500def791fe2172749 | [
"MIT"
] | null | null | null | qa/rpc-tests/spentindex.py | n0cte/omnicore | 99a9ad6f08884bb7a86063500def791fe2172749 | [
"MIT"
] | null | null | null | qa/rpc-tests/spentindex.py | n0cte/omnicore | 99a9ad6f08884bb7a86063500def791fe2172749 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2014-2015 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 addressindex generation and fetching
#
import time
from test_framework.test_framework import Bi... | 44.971631 | 104 | 0.651159 |
09b9d1787dfa2bfc570c957efb66d450b3f61876 | 1,459 | py | Python | classification/bin/vec_parse.py | wolszhang/text_classification | 3819a8e331a41bb6a8373c9b5c434745caf78ba1 | [
"MIT"
] | null | null | null | classification/bin/vec_parse.py | wolszhang/text_classification | 3819a8e331a41bb6a8373c9b5c434745caf78ba1 | [
"MIT"
] | null | null | null | classification/bin/vec_parse.py | wolszhang/text_classification | 3819a8e331a41bb6a8373c9b5c434745caf78ba1 | [
"MIT"
] | null | null | null | # coding: utf-8
from __future__ import division
import struct
import sys
FILE_NAME = "vectors.bin"
MAX_VECTORS = 3000000 # This script takes a lot of RAM (>2GB for 200K vectors), if you want to use the full 3M embeddings then you probably need to insert the vectors into some kind of database
FLOAT_SIZE = 4 # 32bit fl... | 26.527273 | 193 | 0.594928 |
78eafac63063f2dc8d53e0ea690e716ddfe0a177 | 6,454 | py | Python | scripts/build_cutout.py | koen-vg/pypsa-eur | a431bbd5a75a54440fab93fd91577197968032e5 | [
"MIT"
] | 120 | 2018-09-21T08:44:00.000Z | 2022-03-22T13:39:22.000Z | scripts/build_cutout.py | koen-vg/pypsa-eur | a431bbd5a75a54440fab93fd91577197968032e5 | [
"MIT"
] | 258 | 2019-02-07T09:37:11.000Z | 2022-03-29T11:07:37.000Z | scripts/build_cutout.py | koen-vg/pypsa-eur | a431bbd5a75a54440fab93fd91577197968032e5 | [
"MIT"
] | 103 | 2018-09-21T08:34:40.000Z | 2022-03-27T16:41:50.000Z | # SPDX-FileCopyrightText: : 2017-2021 The PyPSA-Eur Authors
#
# SPDX-License-Identifier: MIT
"""
Create cutouts with `atlite <https://atlite.readthedocs.io/en/latest/>`_.
For this rule to work you must have
- installed the `Copernicus Climate Data Store <https://cds.climate.copernicus.eu>`_ ``cdsapi`` package (`ins... | 49.267176 | 200 | 0.477533 |
0abe385292093b3f55d99437bbdce394af5d91b8 | 425 | py | Python | ubereats/utils/merge_trip.py | macchino/delivery-analisys | 7d0507580532e87143c49d91693ee25aaf504a0b | [
"MIT"
] | 5 | 2019-12-31T08:07:02.000Z | 2021-08-15T06:58:50.000Z | ubereats/utils/merge_trip.py | macchino/delivery-analisys | 7d0507580532e87143c49d91693ee25aaf504a0b | [
"MIT"
] | 39 | 2019-12-22T03:25:10.000Z | 2021-03-16T09:46:21.000Z | ubereats/utils/merge_trip.py | macchino/delivery-analisys | 7d0507580532e87143c49d91693ee25aaf504a0b | [
"MIT"
] | 2 | 2020-08-13T02:22:23.000Z | 2021-08-15T07:00:30.000Z | import pandas as pd
MASTER_FILE_PATH = './data/trip_master.csv'
TARGET_FILE_PATH = "./rawdata/trips/latest_trips.csv"
master = pd.read_csv(MASTER_FILE_PATH, index_col='id')
df = pd.read_csv(TARGET_FILE_PATH, index_col="id")
data = pd.concat([master, df], sort=False).drop_duplicates(subset="url",
... | 32.692308 | 72 | 0.649412 |
50dd4ce81d360fbdbada787d44c0331f44091630 | 1,816 | py | Python | dizoo/classic_control/pendulum/config/pendulum_cql_config.py | konnase/DI-engine | f803499cad191e9277b10e194132d74757bcfc8e | [
"Apache-2.0"
] | null | null | null | dizoo/classic_control/pendulum/config/pendulum_cql_config.py | konnase/DI-engine | f803499cad191e9277b10e194132d74757bcfc8e | [
"Apache-2.0"
] | null | null | null | dizoo/classic_control/pendulum/config/pendulum_cql_config.py | konnase/DI-engine | f803499cad191e9277b10e194132d74757bcfc8e | [
"Apache-2.0"
] | null | null | null | from easydict import EasyDict
pendulum_cql_default_config = dict(
seed=0,
env=dict(
collector_env_num=1,
evaluator_env_num=5,
act_scale=True,
n_evaluator_episode=5,
stop_value=-250,
),
policy=dict(
cuda=True,
on_policy=False,
model=dict(
... | 27.938462 | 81 | 0.601322 |
49cab8140f7316a621b2bc4eb64fc00598ab73fc | 18,304 | py | Python | ServidorPython/python32_web/Lib/site-packages/jedi/evaluate/compiled/context.py | mak213k/Servidor_automatizado_python | 4403ef8027a2f814220baacc95856cf5fbf01d21 | [
"MIT"
] | 4 | 2019-07-26T11:32:22.000Z | 2019-09-11T05:34:59.000Z | ServidorPython/python32_web/Lib/site-packages/jedi/evaluate/compiled/context.py | mak213k/Servidor_automatizado_python | 4403ef8027a2f814220baacc95856cf5fbf01d21 | [
"MIT"
] | 9 | 2019-12-05T00:49:12.000Z | 2021-09-08T01:31:25.000Z | ServidorPython/python32_web/Lib/site-packages/jedi/evaluate/compiled/context.py | mak213k/Servidor_automatizado_python | 4403ef8027a2f814220baacc95856cf5fbf01d21 | [
"MIT"
] | 2 | 2019-08-28T14:57:54.000Z | 2019-11-26T16:18:30.000Z | """
Imitate the parser representation.
"""
import re
from functools import partial
from jedi import debug
from jedi.evaluate.utils import to_list
from jedi._compatibility import force_unicode, Parameter, cast_path
from jedi.cache import underscore_memoization, memoize_method
from jedi.evaluate.filters import AbstractF... | 33.771218 | 100 | 0.646689 |
33595b5228e9224bbec4265686ac5d82de1120a9 | 20,608 | py | Python | lib/GANBase.py | RachelCmy/den2vel | 41985045bc0508009a3f322b9a0c858ffcfe71b4 | [
"MIT"
] | 10 | 2021-06-29T01:48:39.000Z | 2022-02-08T15:31:24.000Z | lib/GANBase.py | kuning19901/den2vel | 41985045bc0508009a3f322b9a0c858ffcfe71b4 | [
"MIT"
] | 4 | 2021-06-29T01:49:32.000Z | 2022-02-11T03:17:50.000Z | lib/GANBase.py | kuning19901/den2vel | 41985045bc0508009a3f322b9a0c858ffcfe71b4 | [
"MIT"
] | 2 | 2021-10-03T08:41:23.000Z | 2022-01-02T06:16:27.000Z | from lib import ops
import tensorflow as tf, numpy as np
class GANBase(object):
# base class for Generator and Discriminator
def __init__(self, name, is_train, FLAGS, norm='instance', activation='relu', unet=False, gb_step=None, train_self=True):
self.name = name
self._is_train = is_... | 52.705882 | 126 | 0.518245 |
85e02d10bafb30e6bd4b84d9ced284da91a754cf | 422 | py | Python | plotly/validators/sankey/_customdata.py | faezs/plotly.py | 6009b5b9c746e5d2a2849ad255a4eb234b551ed7 | [
"MIT"
] | 2 | 2020-03-24T11:41:14.000Z | 2021-01-14T07:59:43.000Z | plotly/validators/sankey/_customdata.py | faezs/plotly.py | 6009b5b9c746e5d2a2849ad255a4eb234b551ed7 | [
"MIT"
] | null | null | null | plotly/validators/sankey/_customdata.py | faezs/plotly.py | 6009b5b9c746e5d2a2849ad255a4eb234b551ed7 | [
"MIT"
] | 4 | 2019-06-03T14:49:12.000Z | 2022-01-06T01:05:12.000Z | import _plotly_utils.basevalidators
class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(
self, plotly_name='customdata', parent_name='sankey', **kwargs
):
super(CustomdataValidator, self).__init__(
plotly_name=plotly_name,
parent_na... | 26.375 | 75 | 0.635071 |
8104a342d11b89c2050ac2c258402f9829c1584f | 137,287 | py | Python | btrdb/grpcinterface/btrdb_pb2.py | jacobmas/btrdb-python | a5a897c3822668c84a456677479a81838e729e15 | [
"BSD-3-Clause"
] | 7 | 2019-02-06T16:27:58.000Z | 2021-05-08T01:34:14.000Z | btrdb/grpcinterface/btrdb_pb2.py | jacobmas/btrdb-python | a5a897c3822668c84a456677479a81838e729e15 | [
"BSD-3-Clause"
] | 35 | 2019-01-30T22:01:28.000Z | 2021-05-20T19:35:14.000Z | btrdb/grpcinterface/btrdb_pb2.py | jacobmas/btrdb-python | a5a897c3822668c84a456677479a81838e729e15 | [
"BSD-3-Clause"
] | 10 | 2019-02-10T17:35:04.000Z | 2021-09-28T01:30:59.000Z | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: btrdb.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 as _mes... | 38.596289 | 12,249 | 0.745169 |
736b4c6d9fff3158d611e8fe4f97a1e0f9e6fd31 | 357 | py | Python | scripts/avglat.py | Stuart0l/copilot | e2a9e5200e9bd890079179faa6a7808a96680ead | [
"Apache-2.0"
] | null | null | null | scripts/avglat.py | Stuart0l/copilot | e2a9e5200e9bd890079179faa6a7808a96680ead | [
"Apache-2.0"
] | null | null | null | scripts/avglat.py | Stuart0l/copilot | e2a9e5200e9bd890079179faa6a7808a96680ead | [
"Apache-2.0"
] | null | null | null | path_prefix = "/home/xuhao/copilot/experiments/latest/"
def calc_average_latency(filename):
with open(filename, 'r') as f:
n_client = 0
total = 0
for line in f:
total += float(line.split('\t')[9])
n_client += 1
print("{:.4f}".format(total / n_client))
if __name__ == '__main__':
calc_average_latency... | 23.8 | 58 | 0.677871 |
803e2788f54dae819dfae52e888beca9195ebb77 | 5,488 | py | Python | docs/source/conf.py | cloudboss/friend | 3357e6ec849552e3ae9ed28017ff0926e4006e4e | [
"MIT"
] | null | null | null | docs/source/conf.py | cloudboss/friend | 3357e6ec849552e3ae9ed28017ff0926e4006e4e | [
"MIT"
] | null | null | null | docs/source/conf.py | cloudboss/friend | 3357e6ec849552e3ae9ed28017ff0926e4006e4e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# friend documentation build configuration file, created by
# sphinx-quickstart on Thu Aug 24 22:52:05 2017.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# Al... | 29.826087 | 79 | 0.684038 |
b48b53f73f060372744218dcdeb084f7fed6497a | 1,985 | py | Python | bin/rouge_cmd.py | hellomaxwell/rouge | 814158135f659f50f07c94db4d9fa133d783d500 | [
"Apache-2.0"
] | 1 | 2019-09-18T12:14:13.000Z | 2019-09-18T12:14:13.000Z | bin/rouge_cmd.py | hellomaxwell/rouge | 814158135f659f50f07c94db4d9fa133d783d500 | [
"Apache-2.0"
] | null | null | null | bin/rouge_cmd.py | hellomaxwell/rouge | 814158135f659f50f07c94db4d9fa133d783d500 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import argparse
import json
import os
from rouge import Rouge, FilesRouge
METRICS_CHOICES = {k.split('rouge-')[1].upper(): k
for k in Rouge.AVAILABLE_METRICS.keys()}
STATS_CHOICES = [s.upper() for s in Rouge.AVAILABLE_STATS]
def main():
parser = argparse.ArgumentParser(... | 33.083333 | 78 | 0.612594 |
352ffdf35bb9643087072fe0e0bc3fd95d45417f | 578 | py | Python | udemy/bot/bot.py | Rexinazor/UdemyBot | 81e715da9ef30d0e9e2f683dac381f1a37d02ec6 | [
"MIT"
] | 2 | 2021-09-13T09:58:20.000Z | 2021-09-23T15:09:10.000Z | udemy/bot/bot.py | Rexinazor/UdemyBot | 81e715da9ef30d0e9e2f683dac381f1a37d02ec6 | [
"MIT"
] | null | null | null | udemy/bot/bot.py | Rexinazor/UdemyBot | 81e715da9ef30d0e9e2f683dac381f1a37d02ec6 | [
"MIT"
] | 1 | 2022-01-05T08:24:23.000Z | 2022-01-05T08:24:23.000Z |
import asyncio
from telethon import TelegramClient
from udemy import api_hash, api_id, token
class UdemyBOT(TelegramClient):
def __init__(self):
super().__init__("udemybot", api_id=api_id, api_hash=api_hash)
async def __start(self):
await super().start(bot_token=token)
... | 26.272727 | 71 | 0.643599 |
49d37c8ee404ddb189f94a2efeee10747d23c898 | 405 | py | Python | JetMETCorrections/Modules/python/hltL1FastjetCorrectionESProducer_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | JetMETCorrections/Modules/python/hltL1FastjetCorrectionESProducer_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | JetMETCorrections/Modules/python/hltL1FastjetCorrectionESProducer_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z | # HLT template for L1FastjetCorrectionESProducer
import FWCore.ParameterSet.Config as cms
# L1 (FastJet PU Subtraction) correction
hltL1FastjetCorrectionESProducer = cms.ESProducer('L1FastjetCorrectionESProducer',
appendToDataLabel = cms.string( '' ),
level = cms.string( 'L1FastJet' ),
algorithm = cms... | 33.75 | 82 | 0.74321 |
dd50b68cbd4edd59da91bc38f83fb76248eb9cf2 | 7,003 | py | Python | AHP_all.py | rudysynex/rf-gen-sim | e486b745e85b2b3878e40ac7ff16ad5e0e8d6be1 | [
"CC0-1.0"
] | 1 | 2022-03-18T18:29:02.000Z | 2022-03-18T18:29:02.000Z | AHP_all.py | rudysynex/rf-gen-sim | e486b745e85b2b3878e40ac7ff16ad5e0e8d6be1 | [
"CC0-1.0"
] | null | null | null | AHP_all.py | rudysynex/rf-gen-sim | e486b745e85b2b3878e40ac7ff16ad5e0e8d6be1 | [
"CC0-1.0"
] | null | null | null | #!/usr/bin/env python3
# Copyright: Rudraksha Dutta Majumdar, 2021
"""
Author: R.D Majumdar
Date: 2021Dec17
Brief: Functions to generate adiabatic half-passage pulses
"""
import os
import json
import numpy as np
import matplotlib.pyplot as plt
# Pulse Parameters
PULSE_LENGTH = 5000 #us
NR_OF_POINTS = 2... | 30.714912 | 93 | 0.603884 |
57781b1ddacff9213543fc0b73be9ab009662064 | 3,751 | py | Python | tests/directory/test_group.py | rikeshtailor/Office365-REST-Python-Client | ca7bfa1b22212137bb4e984c0457632163e89a43 | [
"MIT"
] | null | null | null | tests/directory/test_group.py | rikeshtailor/Office365-REST-Python-Client | ca7bfa1b22212137bb4e984c0457632163e89a43 | [
"MIT"
] | null | null | null | tests/directory/test_group.py | rikeshtailor/Office365-REST-Python-Client | ca7bfa1b22212137bb4e984c0457632163e89a43 | [
"MIT"
] | null | null | null | import unittest
import uuid
from tests import test_user_principal_name
from tests.graph_case import GraphTestCase
from office365.directory.groups.group import Group
from office365.directory.groups.group_profile import GroupProfile
from office365.directory.users.user import User
from office365.runtime.client_request_ex... | 43.616279 | 120 | 0.699014 |
1c1f39f6f31a2b07f478641a61597fffbfde66cb | 4,192 | py | Python | LDA.py | gwthmsb/MLAndAI | cb255d9bd480f6f25bf868e831a68257faecbfcc | [
"Apache-2.0"
] | null | null | null | LDA.py | gwthmsb/MLAndAI | cb255d9bd480f6f25bf868e831a68257faecbfcc | [
"Apache-2.0"
] | null | null | null | LDA.py | gwthmsb/MLAndAI | cb255d9bd480f6f25bf868e831a68257faecbfcc | [
"Apache-2.0"
] | null | null | null | from numpy import mean
from numpy import std
from sklearn.datasets import make_classification, load_iris
from sklearn.model_selection import cross_val_score, GridSearchCV
from sklearn.model_selection import RepeatedStratifiedKFold
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
from sklearn.naive_b... | 34.081301 | 124 | 0.6875 |
1abe0a1687e59de295772f68c19b3f439d1c27d9 | 5,757 | py | Python | Plugins/UnrealEnginePython/Binaries/Win64/Lib/site-packages/tensorflow/contrib/kernel_methods/python/losses.py | JustinACoder/H22-GR3-UnrealAI | 361eb9ef1147f8a2991e5f98c4118cd823184adf | [
"MIT"
] | 6 | 2022-02-04T18:12:24.000Z | 2022-03-21T23:57:12.000Z | Lib/site-packages/tensorflow/contrib/kernel_methods/python/losses.py | shfkdroal/Robot-Learning-in-Mixed-Adversarial-and-Collaborative-Settings | 1fa4cd6a566c8745f455fc3d2273208f21f88ced | [
"bzip2-1.0.6"
] | null | null | null | Lib/site-packages/tensorflow/contrib/kernel_methods/python/losses.py | shfkdroal/Robot-Learning-in-Mixed-Adversarial-and-Collaborative-Settings | 1fa4cd6a566c8745f455fc3d2273208f21f88ced | [
"bzip2-1.0.6"
] | 1 | 2022-02-08T03:53:23.000Z | 2022-02-08T03:53:23.000Z | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | 42.330882 | 81 | 0.667535 |
c52f6578be75de21f2253fd0229ebfa5620224c5 | 15,760 | py | Python | electrumpersonalserver/bitcoin/transaction.py | mflaxman/electrum-personal-server | 700cd108ea026b971f05b906db03951acf6b2ac0 | [
"MIT"
] | 511 | 2018-02-08T16:55:27.000Z | 2022-03-30T04:56:57.000Z | electrumpersonalserver/bitcoin/transaction.py | mflaxman/electrum-personal-server | 700cd108ea026b971f05b906db03951acf6b2ac0 | [
"MIT"
] | 241 | 2018-03-02T19:37:20.000Z | 2022-03-28T07:45:36.000Z | electrumpersonalserver/bitcoin/transaction.py | mflaxman/electrum-personal-server | 700cd108ea026b971f05b906db03951acf6b2ac0 | [
"MIT"
] | 117 | 2018-02-08T19:06:08.000Z | 2022-03-11T17:26:37.000Z | #!/usr/bin/python
import binascii, re, json, copy, sys
from electrumpersonalserver.bitcoin.main import *
from _functools import reduce
### Hex to bin converter and vice versa for objects
def json_is_base(obj, base):
if not is_python2 and isinstance(obj, bytes):
return False
alpha = get_code_string(b... | 32.09776 | 97 | 0.574873 |
815fec38f1967997985aa324e3ab9e5a8b56020e | 6,241 | py | Python | tests/providers/google/cloud/operators/test_mssql_to_gcs.py | dorranh/airflow | 1a9a2cadcf8606cfcb729d1323dd33dfacc64633 | [
"Apache-2.0"
] | null | null | null | tests/providers/google/cloud/operators/test_mssql_to_gcs.py | dorranh/airflow | 1a9a2cadcf8606cfcb729d1323dd33dfacc64633 | [
"Apache-2.0"
] | 1 | 2019-05-14T14:32:40.000Z | 2019-05-14T14:32:40.000Z | tests/providers/google/cloud/operators/test_mssql_to_gcs.py | dorranh/airflow | 1a9a2cadcf8606cfcb729d1323dd33dfacc64633 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
#... | 40.264516 | 106 | 0.688511 |
cd73bb4344d2269913a5e39ce9859fe8656156a3 | 650 | py | Python | docs/dev/2021/shared.mmap/example1/b.py | karlrink/sentinel | 55474617cc4351030a88e0e7d946532f4c6a6337 | [
"MIT"
] | null | null | null | docs/dev/2021/shared.mmap/example1/b.py | karlrink/sentinel | 55474617cc4351030a88e0e7d946532f4c6a6337 | [
"MIT"
] | null | null | null | docs/dev/2021/shared.mmap/example1/b.py | karlrink/sentinel | 55474617cc4351030a88e0e7d946532f4c6a6337 | [
"MIT"
] | null | null | null | import mmap
import os
import struct
import time
def main():
# Open the file for reading
fd = os.open('/tmp/mmaptest', os.O_RDONLY)
# Memory map the file
buf = mmap.mmap(fd, mmap.PAGESIZE, mmap.MAP_SHARED, mmap.PROT_READ)
i = None
s = None
while 1:
new_i, = struct.unpack('i', buf[... | 19.117647 | 71 | 0.516923 |
eccf00fa0ba96158cbd0bd4ca84cde07ab4ac099 | 5,205 | py | Python | container_service_extension/lib/pksclient/models/compute_profile.py | arunmk/container-service-extension | 5e67df64fd5ed7fbb664d449356cb983cecbca12 | [
"BSD-3-Clause"
] | 81 | 2017-07-05T19:42:41.000Z | 2022-03-09T22:04:05.000Z | container_service_extension/lib/pksclient/models/compute_profile.py | arunmk/container-service-extension | 5e67df64fd5ed7fbb664d449356cb983cecbca12 | [
"BSD-3-Clause"
] | 670 | 2017-07-05T16:48:02.000Z | 2022-03-31T13:40:53.000Z | container_service_extension/lib/pksclient/models/compute_profile.py | arunmk/container-service-extension | 5e67df64fd5ed7fbb664d449356cb983cecbca12 | [
"BSD-3-Clause"
] | 64 | 2017-07-05T16:32:55.000Z | 2022-03-23T09:36:03.000Z | # coding: utf-8
"""
PKS
PKS API # noqa: E501
OpenAPI spec version: 1.1.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
class ComputeProfile(object):
"""NOTE: This class is auto generated by the swagger code generat... | 26.42132 | 96 | 0.559846 |
e0c8be199aa24da1110e6d325e06257604792f99 | 7,345 | py | Python | aiida/storage/psql_dos/orm/utils.py | mkrack/aiida-core | bab1ad6cfc8e4ff041bce268f9270c613663cb35 | [
"MIT",
"BSD-3-Clause"
] | 153 | 2016-12-23T20:59:03.000Z | 2019-07-02T06:47:52.000Z | aiida/storage/psql_dos/orm/utils.py | mkrack/aiida-core | bab1ad6cfc8e4ff041bce268f9270c613663cb35 | [
"MIT",
"BSD-3-Clause"
] | 2,466 | 2016-12-24T01:03:52.000Z | 2019-07-04T13:41:08.000Z | aiida/storage/psql_dos/orm/utils.py | mkrack/aiida-core | bab1ad6cfc8e4ff041bce268f9270c613663cb35 | [
"MIT",
"BSD-3-Clause"
] | 88 | 2016-12-23T16:28:00.000Z | 2019-07-01T15:55:20.000Z | # -*- coding: utf-8 -*-
###########################################################################
# Copyright (c), The AiiDA team. All rights reserved. #
# This file is part of the AiiDA code. #
# ... | 39.702703 | 117 | 0.653097 |
49bb134c6d4ca215c4453bf4cf135e02d80fd519 | 1,694 | py | Python | ArrayPrograms/selectionSortAndConcatenate.py | shelcia/InterviewQuestionPython | c1bff9598da01e3b75472e78f7a1b28fdcb2d935 | [
"Apache-2.0"
] | 1 | 2020-09-30T19:06:15.000Z | 2020-09-30T19:06:15.000Z | ArrayPrograms/selectionSortAndConcatenate.py | shelcia/InterviewQuestionPython | c1bff9598da01e3b75472e78f7a1b28fdcb2d935 | [
"Apache-2.0"
] | null | null | null | ArrayPrograms/selectionSortAndConcatenate.py | shelcia/InterviewQuestionPython | c1bff9598da01e3b75472e78f7a1b28fdcb2d935 | [
"Apache-2.0"
] | null | null | null | # You are an intern at GUVI and the company wants to organise its data and
# delete unnecessary extra storage elements used.
# You are given k arrays of unequal dimensions. Sort the k arrays individually and concatenate them.
def selectionSort(array):
for index in range(0, len(array)):
min = array[index]
... | 33.215686 | 100 | 0.66588 |
b9571baa65129de5fd083be3e78af70dc509b3f0 | 823 | py | Python | web_interface/debug2.py | maierbn/streaming_software | 2cfe5da8e28b45751147c62906e8ef85ccf91fca | [
"MIT"
] | 3 | 2021-07-24T21:07:00.000Z | 2022-01-29T13:45:09.000Z | web_interface/debug2.py | maierbn/streaming_software | 2cfe5da8e28b45751147c62906e8ef85ccf91fca | [
"MIT"
] | null | null | null | web_interface/debug2.py | maierbn/streaming_software | 2cfe5da8e28b45751147c62906e8ef85ccf91fca | [
"MIT"
] | 1 | 2021-07-10T15:33:29.000Z | 2021-07-10T15:33:29.000Z | #!/usr/bin/python3
import gi
gi.require_version("Gtk", "3.0")
from gi.repository import Gtk
class MyWindow(Gtk.Window):
def __init__(self):
super().__init__(title="Hello World")
self.box = Gtk.Box(spacing=6)
self.add(self.box)
self.button1 = Gtk.Button(label="Hello")
se... | 23.514286 | 64 | 0.656136 |
deb2d0397f548e1c645ac3650cb3619cf19ee7a7 | 82 | py | Python | src/eops/eops/migrations/__init__.py | haltu/eca-eops | 2316af10ac08aabc23713a5065c8def79665f895 | [
"MIT"
] | null | null | null | src/eops/eops/migrations/__init__.py | haltu/eca-eops | 2316af10ac08aabc23713a5065c8def79665f895 | [
"MIT"
] | 11 | 2018-08-16T12:09:57.000Z | 2018-08-22T14:26:15.000Z | src/eops/eops/migrations/__init__.py | haltu/eca-eops | 2316af10ac08aabc23713a5065c8def79665f895 | [
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
# vim: tabstop=2 expandtab shiftwidth=2 softtabstop=2
| 11.714286 | 53 | 0.646341 |
da748a97a85e705888759309e28e5dba42a8de03 | 5,730 | py | Python | src/txkube/_exception.py | LeastAuthority/txkube | a7e555d00535ff787d4b1204c264780da40cf736 | [
"MIT"
] | 14 | 2017-01-16T20:00:36.000Z | 2020-02-15T05:58:23.000Z | src/txkube/_exception.py | LeastAuthority/txkube | a7e555d00535ff787d4b1204c264780da40cf736 | [
"MIT"
] | 192 | 2017-01-16T18:39:14.000Z | 2019-01-03T14:01:50.000Z | src/txkube/_exception.py | LeastAuthority/txkube | a7e555d00535ff787d4b1204c264780da40cf736 | [
"MIT"
] | 6 | 2017-01-20T23:37:59.000Z | 2020-10-16T21:38:59.000Z | # Copyright Least Authority Enterprises.
# See LICENSE for details.
from json import loads
from functools import total_ordering
from twisted.web.http import NOT_FOUND, CONFLICT
from twisted.web.client import readBody
def _full_kind(details):
"""
Determine the full kind (including a group if applicable) for ... | 29.086294 | 78 | 0.582548 |
9092db695282724668bed1624198b72a795e9a72 | 1,435 | py | Python | keras_ai.py | evandrocapo/Keras | 5e2f73254e38d99ea1027b07c8e887be0d71fcac | [
"MIT"
] | null | null | null | keras_ai.py | evandrocapo/Keras | 5e2f73254e38d99ea1027b07c8e887be0d71fcac | [
"MIT"
] | null | null | null | keras_ai.py | evandrocapo/Keras | 5e2f73254e38d99ea1027b07c8e887be0d71fcac | [
"MIT"
] | null | null | null | from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Activation
from tensorflow.keras.utils import to_categorical
import numpy as np
# Criação do modelo complicado
# model = Sequential([
# Dense(32, input_shape=(784,)),
# Activation('relu'),
# Dense(10)... | 21.41791 | 57 | 0.666899 |
705524570e7d02f4068e29708630c2b8950a2196 | 553 | py | Python | work/python/rewrap.py | wincentbalin/vagrant-tesseract-cuneiform | 6293054d3f8878139e4c9c18aac9abded037ffba | [
"Apache-2.0"
] | null | null | null | work/python/rewrap.py | wincentbalin/vagrant-tesseract-cuneiform | 6293054d3f8878139e4c9c18aac9abded037ffba | [
"Apache-2.0"
] | null | null | null | work/python/rewrap.py | wincentbalin/vagrant-tesseract-cuneiform | 6293054d3f8878139e4c9c18aac9abded037ffba | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
"""Rewrap lines without breaking words"""
import sys
import argparse
import textwrap
argparser = argparse.ArgumentParser(description=sys.modules[__name__].__doc__)
argparser.add_argument('infile', type=argparse.FileType('r', encoding='UTF-8'))
argparser.add_argument('outfile', type=argparse.Fi... | 29.105263 | 80 | 0.748644 |
b99edc29244a7c6e2c4ab6c6b102de85a71ff402 | 629 | py | Python | Src/WorkItemEventProcessor.Tests/bin/Debug/Dsl/tfs/setbuildretensionbyquality.py | rfennell/TfsAlertsDsl | dd5f8f1d122cba7361850f19cb229a6e10e0919f | [
"MS-PL"
] | null | null | null | Src/WorkItemEventProcessor.Tests/bin/Debug/Dsl/tfs/setbuildretensionbyquality.py | rfennell/TfsAlertsDsl | dd5f8f1d122cba7361850f19cb229a6e10e0919f | [
"MS-PL"
] | null | null | null | Src/WorkItemEventProcessor.Tests/bin/Debug/Dsl/tfs/setbuildretensionbyquality.py | rfennell/TfsAlertsDsl | dd5f8f1d122cba7361850f19cb229a6e10e0919f | [
"MS-PL"
] | null | null | null | import sys
# Expect 2 args the event type and a value unique ID for the build
if sys.argv[0] == "BuildEvent" :
uri = sys.argv[1]
build = GetBuildDetails(uri)
if build.Quality == "Test Failed" or build.Quality == "Rejected" :
keepForever = False
else:
keepForever = True
SetBuildRetension(uri, keepForever)
m... | 37 | 129 | 0.710652 |
7d20df091ae1bab521e316699d46f7a830b57e8d | 341 | py | Python | HSCTF 2020/Boredom/payloader.py | Ishaan514/CTFs | 643bf9b74fe01bdeea519bdf884616bb2a8ed85b | [
"Apache-2.0"
] | null | null | null | HSCTF 2020/Boredom/payloader.py | Ishaan514/CTFs | 643bf9b74fe01bdeea519bdf884616bb2a8ed85b | [
"Apache-2.0"
] | null | null | null | HSCTF 2020/Boredom/payloader.py | Ishaan514/CTFs | 643bf9b74fe01bdeea519bdf884616bb2a8ed85b | [
"Apache-2.0"
] | null | null | null | from pwn import *
connection = remote('pwn.hsctf.com', 5002)
#through fuzzing found buffer
offset = 208
#through objdump -d we found the address of flag() as 00000000004011d5 and know the machine is 64 bit
address = p64(0x000004011d5)
#perform the bufferoverflow itself
connection.sendline('a'*offset + address)
connect... | 26.230769 | 101 | 0.774194 |
5cb61df783c5f0c6f3a86e6cded7c90156d731f2 | 6,865 | py | Python | helper.py | taeheecho/CarND-Semantic-Segmentation | 7d18554e6fda87f59c6375eef2046e9842fca148 | [
"MIT"
] | null | null | null | helper.py | taeheecho/CarND-Semantic-Segmentation | 7d18554e6fda87f59c6375eef2046e9842fca148 | [
"MIT"
] | null | null | null | helper.py | taeheecho/CarND-Semantic-Segmentation | 7d18554e6fda87f59c6375eef2046e9842fca148 | [
"MIT"
] | null | null | null | import re
import random
import numpy as np
import os.path
import scipy.misc
import shutil
import zipfile
import time
import tensorflow as tf
from glob import glob
from urllib.request import urlretrieve
from tqdm import tqdm
from moviepy.editor import VideoFileClip
class DLProgress(tqdm):
last_block = 0
def ho... | 39.228571 | 104 | 0.655645 |
16136305d1adbb321dceba50ab65e58de0b05d4b | 2,804 | py | Python | python/tests/spatial_operator/test_rectangle_range.py | andreicovaliov/incubator-sedona | 3613a756d6e9a50fd2cb7cb0484e654249440598 | [
"Apache-2.0"
] | 747 | 2016-03-02T21:29:54.000Z | 2020-09-01T01:45:13.000Z | python/tests/spatial_operator/test_rectangle_range.py | andreicovaliov/incubator-sedona | 3613a756d6e9a50fd2cb7cb0484e654249440598 | [
"Apache-2.0"
] | 329 | 2016-04-01T20:30:38.000Z | 2020-08-31T23:29:02.000Z | python/tests/spatial_operator/test_rectangle_range.py | andreicovaliov/incubator-sedona | 3613a756d6e9a50fd2cb7cb0484e654249440598 | [
"Apache-2.0"
] | 401 | 2016-03-03T20:38:38.000Z | 2020-08-31T07:59:13.000Z | # 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... | 39.492958 | 117 | 0.738588 |
b5ab1da2fba5afad3ecd8815b671102c7f044ce5 | 625 | py | Python | edge_detectors.py | CharlesW95/senior_project | d7bfe89c640b892f4c2f156a881c19cb5405b8ae | [
"MIT"
] | 1 | 2018-07-12T10:00:11.000Z | 2018-07-12T10:00:11.000Z | edge_detectors.py | CharlesW95/senior_project | d7bfe89c640b892f4c2f156a881c19cb5405b8ae | [
"MIT"
] | null | null | null | edge_detectors.py | CharlesW95/senior_project | d7bfe89c640b892f4c2f156a881c19cb5405b8ae | [
"MIT"
] | null | null | null | import tensorflow as tf
def create_sobel_filters():
sobel_y = tf.constant([[-1, 0, 1], [-2, 0, 2], [-1, 0, 1]], tf.float32)
sobel_y_filter = tf.reshape(sobel_y, [3, 3, 1, 1])
sobel_x_filter = tf.transpose(sobel_y_filter, [1, 0, 2, 3])
return sobel_x_filter, sobel_y_filter
def edge_detection(images):
... | 39.0625 | 75 | 0.6176 |
600efab90ac0272c4eec09f6ae8c08cb7c18f842 | 253 | py | Python | Python/challenges/challenge_001.py | David29595/ProjectEuler | b2d1b60bdfd71193c2fb449801a8b4954bfc95ac | [
"MIT"
] | null | null | null | Python/challenges/challenge_001.py | David29595/ProjectEuler | b2d1b60bdfd71193c2fb449801a8b4954bfc95ac | [
"MIT"
] | null | null | null | Python/challenges/challenge_001.py | David29595/ProjectEuler | b2d1b60bdfd71193c2fb449801a8b4954bfc95ac | [
"MIT"
] | null | null | null | # sum all numbers between 1 and 1000 that are divisible by 3 and 5
def main():
sum=0
for i in range(1000):
if i % 3 == 0 or i % 5 ==0:
sum += i
return sum
if __name__ == '__main__':
ans = main()
print(str(ans))
| 19.461538 | 66 | 0.537549 |
74d643a77acb8e574edd5048da83b5dde28c6ffb | 1,937 | py | Python | test/test_scan_varying_integration_bug.py | TiankunZhou/dials | bd5c95b73c442cceb1c61b1690fd4562acf4e337 | [
"BSD-3-Clause"
] | 2 | 2021-03-17T11:25:46.000Z | 2021-11-18T04:20:54.000Z | test/test_scan_varying_integration_bug.py | TiankunZhou/dials | bd5c95b73c442cceb1c61b1690fd4562acf4e337 | [
"BSD-3-Clause"
] | null | null | null | test/test_scan_varying_integration_bug.py | TiankunZhou/dials | bd5c95b73c442cceb1c61b1690fd4562acf4e337 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import absolute_import, division, print_function
import procrunner
import iotbx.mtz
from cctbx import uctbx
from libtbx.test_utils import approx_equal
def test(dials_data, tmpdir):
g = [f.strpath for f in dials_data("x4wide").listdir(sort=True)]
assert len(g) == 90
commands = [
... | 30.265625 | 84 | 0.602994 |
b85fca7a6beabf2cf5870df3f010606ae3522fca | 875 | py | Python | django-valletpv/inicio/urls.py | vallemrv/django-tpv | 75f738f13ffb7b4ca53a06d79ea6c4aef6eb12aa | [
"Apache-2.0"
] | 2 | 2018-07-12T23:03:11.000Z | 2018-07-16T19:09:01.000Z | django-valletpv/inicio/urls.py | vallemrv/django-tpv | 75f738f13ffb7b4ca53a06d79ea6c4aef6eb12aa | [
"Apache-2.0"
] | null | null | null | django-valletpv/inicio/urls.py | vallemrv/django-tpv | 75f738f13ffb7b4ca53a06d79ea6c4aef6eb12aa | [
"Apache-2.0"
] | null | null | null | # @Author: Manuel Rodriguez <valle>
# @Date: 01-Jan-2018
# @Email: valle.mrv@gmail.com
# @Last modified by: valle
# @Last modified time: 19-Jun-2018
# @License: Apache license vesion 2.0
from django.conf.urls import url, include
from . import views
USER = [
url(r'^login/$', views.login, name="login_tk"),
... | 35 | 121 | 0.68 |
b16c9e8593305514cd16a64c2b30a935479e9e21 | 5,681 | py | Python | util/scheduler.py | CantSayIHave/OllieBotCore_v3 | bec7b8bcfbd550bec11a85bfcead8478605998af | [
"MIT"
] | 4 | 2018-01-16T10:08:49.000Z | 2019-07-28T07:48:08.000Z | util/scheduler.py | CantSayIHave/OllieBotCore | bec7b8bcfbd550bec11a85bfcead8478605998af | [
"MIT"
] | null | null | null | util/scheduler.py | CantSayIHave/OllieBotCore | bec7b8bcfbd550bec11a85bfcead8478605998af | [
"MIT"
] | null | null | null | """
Scheduler module by Sierra
---------------------------------------------------------------------------
The MIT License (MIT)
Copyright (c) 2018 CantSayIHave
Permission is hereby granted, free of charge, to any person obtaining a
copy of this software and associated documentation files (the "Software"),
to deal i... | 31.38674 | 109 | 0.647069 |
d6c706d7a0fea498411836c73045a1d583169c08 | 1,701 | py | Python | venv/lib/python3.8/site-packages/vsts/git/v4_0/models/git_async_ref_operation_parameters.py | amcclead7336/Enterprise_Data_Science_Final | ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28 | [
"Unlicense",
"MIT"
] | null | null | null | venv/lib/python3.8/site-packages/vsts/git/v4_0/models/git_async_ref_operation_parameters.py | amcclead7336/Enterprise_Data_Science_Final | ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28 | [
"Unlicense",
"MIT"
] | null | null | null | venv/lib/python3.8/site-packages/vsts/git/v4_0/models/git_async_ref_operation_parameters.py | amcclead7336/Enterprise_Data_Science_Final | ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28 | [
"Unlicense",
"MIT"
] | 2 | 2021-05-23T16:46:31.000Z | 2021-05-26T23:51:09.000Z | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# -----------------------------------------------------------------... | 44.763158 | 99 | 0.574956 |
fba6361886b29ae0735b7bf61676c6126a13591e | 695 | py | Python | problems/Codeforces/A. Middle of the Contest.py | jspw/Basic_Python | aa159f576a471c6deebdf1e5f462dfc9ffb4930b | [
"Unlicense"
] | 6 | 2020-06-25T14:52:09.000Z | 2021-08-05T20:54:15.000Z | problems/Codeforces/A. Middle of the Contest.py | jspw/Basic_Python | aa159f576a471c6deebdf1e5f462dfc9ffb4930b | [
"Unlicense"
] | null | null | null | problems/Codeforces/A. Middle of the Contest.py | jspw/Basic_Python | aa159f576a471c6deebdf1e5f462dfc9ffb4930b | [
"Unlicense"
] | null | null | null | while(True):
try:
a,b=map(int,input().split(":"))
c,d=map(int,input().split(":"))
except EOFError:
break
x=a*60+b
y=c*60+d
br=(y-x)//2
# print(x,y,br)
h=a+br//60
m=b+br%60
if(m>=60):
m=m%... | 25.740741 | 52 | 0.34964 |
156c73f73f60d0c71781aec145253d8c5dede1ff | 1,988 | py | Python | TestSuite_1.py | sakshamkatiyar/theta_maze | 54fc49fa32cc2f3fcc76fa62b037656d4ed119b7 | [
"MIT"
] | null | null | null | TestSuite_1.py | sakshamkatiyar/theta_maze | 54fc49fa32cc2f3fcc76fa62b037656d4ed119b7 | [
"MIT"
] | null | null | null | TestSuite_1.py | sakshamkatiyar/theta_maze | 54fc49fa32cc2f3fcc76fa62b037656d4ed119b7 | [
"MIT"
] | null | null | null | import os
import numpy as np
import cv2
import hashlib
import time
from section1 import *
start_time = time.time()
def parseData(data):
a = data.split("\n")
a.pop()
output = []
for m in range(len(a)):
b = a[m].split(",")
num = []
for k in range(len(b)):
... | 31.0625 | 109 | 0.480885 |
9d7653d4bf7c09b2f664139f12a79f0ab4c133d9 | 2,080 | py | Python | editor/attributes/player/player_attribute_post_player_technique.py | PeterC10/COFPES-OF-Editor-6 | 0a9c9b75fada8264634bdc968c9da209c44b29e2 | [
"MIT"
] | 1 | 2022-03-11T12:25:57.000Z | 2022-03-11T12:25:57.000Z | editor/attributes/player/player_attribute_post_player_technique.py | PeterC10/COFPES-OF-Editor-6 | 0a9c9b75fada8264634bdc968c9da209c44b29e2 | [
"MIT"
] | null | null | null | editor/attributes/player/player_attribute_post_player_technique.py | PeterC10/COFPES-OF-Editor-6 | 0a9c9b75fada8264634bdc968c9da209c44b29e2 | [
"MIT"
] | null | null | null | from editor.attributes.player.player_attribute import (
PlayerAttribute,
PlayerAttributeTypes,
)
from editor.attributes.player.player_attribute_post_player import (
PlayerAttributePostPlayer,
)
from editor.attributes.player.player_attribute_technique import (
PlayerAttributeTechnique,
)
from editor.a... | 26.666667 | 84 | 0.698558 |
163786a8849a52b77458fda821614af50cc986f1 | 1,447 | py | Python | Down the DevHole (@FLR)/Bonus - Paranormal Activity/pullall.py | cubermitis/HackfestPro2021 | 9cfb52040bf358feda1e22a52772a4c5ee8f1829 | [
"MIT"
] | 12 | 2021-11-21T00:21:43.000Z | 2022-03-01T17:39:13.000Z | Down the DevHole (@FLR)/Bonus - Paranormal Activity/pullall.py | cubermitis/HackfestPro2021 | 9cfb52040bf358feda1e22a52772a4c5ee8f1829 | [
"MIT"
] | null | null | null | Down the DevHole (@FLR)/Bonus - Paranormal Activity/pullall.py | cubermitis/HackfestPro2021 | 9cfb52040bf358feda1e22a52772a4c5ee8f1829 | [
"MIT"
] | null | null | null | import requests
import json
r = requests.get(
url="https://devhole.hfctf.ca:8888/v2/_catalog",
headers={
"Authorization": "Basic cHJpdmF0ZV9yZWFkOnZ0OWdzaFlCS3c1aFVrNEtXOTBi",
},
)
manifest = r.json()
print(manifest)
def download_file(url):
local_filename = url.split('/')[-1]
# NOTE the st... | 32.155556 | 80 | 0.638563 |
feaa3b7d720ce77d6156cca79e84bd4ca7beca76 | 3,945 | py | Python | tests/validation/tests/v3_api/test_bkp_restore.py | drpebcak/rancher | f78b142ac4b10960213f135dc8cffbec73bd32e5 | [
"Apache-2.0"
] | 6 | 2018-08-15T16:12:38.000Z | 2019-12-17T03:49:13.000Z | tests/validation/tests/v3_api/test_bkp_restore.py | VonRosenchild/rancher | 1befa202bf654bfd8506691867e14d0a1f2c5333 | [
"Apache-2.0"
] | 123 | 2018-01-25T21:17:59.000Z | 2021-02-09T13:52:39.000Z | tests/validation/tests/v3_api/test_bkp_restore.py | VonRosenchild/rancher | 1befa202bf654bfd8506691867e14d0a1f2c5333 | [
"Apache-2.0"
] | 29 | 2018-01-24T20:07:59.000Z | 2021-01-26T06:09:29.000Z | import pytest
from .common import * # NOQA
namespace = {"p_client": None, "ns": None, "cluster": None, "project": None}
def test_bkp_restore():
p_client = namespace["p_client"]
ns = namespace["ns"]
client = get_admin_client()
cluster = namespace["cluster"]
name = random_test_name("default")
... | 37.216981 | 76 | 0.629151 |
68c027c09bb4d82d7e97e9f3e9c4a7ef1a650f99 | 7,077 | py | Python | oxe-api/test/resource/analytics/test_get_ecosystem_activity.py | CybersecurityLuxembourg/openxeco | 8d4e5578bde6a07f5d6d569b16b4de224abf7bf0 | [
"BSD-2-Clause"
] | null | null | null | oxe-api/test/resource/analytics/test_get_ecosystem_activity.py | CybersecurityLuxembourg/openxeco | 8d4e5578bde6a07f5d6d569b16b4de224abf7bf0 | [
"BSD-2-Clause"
] | null | null | null | oxe-api/test/resource/analytics/test_get_ecosystem_activity.py | CybersecurityLuxembourg/openxeco | 8d4e5578bde6a07f5d6d569b16b4de224abf7bf0 | [
"BSD-2-Clause"
] | null | null | null | from datetime import datetime, timedelta
from test.BaseCase import BaseCase
class TestGetEcosystemActivity(BaseCase):
@BaseCase.login
def test_ok(self, token):
time = (datetime.now() - timedelta(1)).isoformat().split('.')[0]
time2 = (datetime.now() - timedelta(3)).isoformat().split('.')[0]
... | 35.742424 | 84 | 0.469832 |
5f01c12b5bc6b994ed99f7b0cea4e31638cd8ea8 | 516 | py | Python | graph_db/driver/null/vertex.py | josegomezr/graph_db | 1ef286c9afdd4fd18559cccee9456dbc72ba7a8d | [
"Apache-2.0"
] | 4 | 2015-11-19T01:22:19.000Z | 2020-09-05T03:03:24.000Z | graph_db/driver/null/vertex.py | josegomezr/graph_db | 1ef286c9afdd4fd18559cccee9456dbc72ba7a8d | [
"Apache-2.0"
] | 1 | 2016-03-10T01:11:03.000Z | 2016-03-10T01:11:03.000Z | graph_db/driver/null/vertex.py | josegomezr/graph_db | 1ef286c9afdd4fd18559cccee9456dbc72ba7a8d | [
"Apache-2.0"
] | 1 | 2016-03-08T00:03:18.000Z | 2016-03-08T00:03:18.000Z | import pqb
import uuid
from ... import types
class VertexDriver(types.BaseVertexDriver):
def create(self, data = {}):
vertex = {}
uid = uuid.uuid4()
vertex['uuid'] = str(uid)
vertex['suid'] = "%x" % (uid.fields[0])
vertex['type'] = 'vertex'
return vertex
... | 24.571429 | 48 | 0.52907 |
bfe060c38e0bfbb4ca3655cdbabf3c6794fa8f85 | 1,795 | py | Python | web/about_me_plugin/models.py | nguyentrisinh/hien_portfolio | 538ea9efc358cb666e7198dc04d11248868301f0 | [
"MIT"
] | null | null | null | web/about_me_plugin/models.py | nguyentrisinh/hien_portfolio | 538ea9efc358cb666e7198dc04d11248868301f0 | [
"MIT"
] | null | null | null | web/about_me_plugin/models.py | nguyentrisinh/hien_portfolio | 538ea9efc358cb666e7198dc04d11248868301f0 | [
"MIT"
] | null | null | null | from django.db import models
from django.core.validators import MinValueValidator, MaxValueValidator
from djangocms_text_ckeditor.fields import HTMLField
from django.utils.translation import ugettext_lazy as _
from cms.models.pluginmodel import CMSPlugin
# Create your models here.
class AboutMe(models.Model):
obj... | 33.867925 | 95 | 0.752089 |
c861756690d8bc89730c9a077a1249c357f165b5 | 265 | py | Python | yaml/read.py | aji-ptn/Bird_view | 433b33b183ceddb5292b4d14983f7191974ae966 | [
"MIT"
] | null | null | null | yaml/read.py | aji-ptn/Bird_view | 433b33b183ceddb5292b4d14983f7191974ae966 | [
"MIT"
] | null | null | null | yaml/read.py | aji-ptn/Bird_view | 433b33b183ceddb5292b4d14983f7191974ae966 | [
"MIT"
] | null | null | null | import cv2
fs = cv2.FileStorage("back.yaml", cv2.FILE_STORAGE_READ)
camera_matrix = fs.getNode("camera_matrix").mat()
dist_coeffs = fs.getNode("dist_coeffs").mat()
resolution = fs.getNode("resolution").mat().flatten()
#load_camera_params()
print(camera_matrix)
| 22.083333 | 56 | 0.754717 |
0e6180b6f7abde8a7a5e9a34244e7cd1a9397a88 | 1,872 | py | Python | ParlAI/parlai/tasks/nlvr/agents.py | UmaTaru/run | be29e4d41a4de3dee27cd6796801bfe51382d294 | [
"MIT"
] | 258 | 2020-04-10T07:01:06.000Z | 2022-03-26T11:49:30.000Z | ParlAI/parlai/tasks/nlvr/agents.py | UmaTaru/run | be29e4d41a4de3dee27cd6796801bfe51382d294 | [
"MIT"
] | 33 | 2020-04-10T04:28:51.000Z | 2022-03-31T02:52:02.000Z | ParlAI/parlai/tasks/nlvr/agents.py | UmaTaru/run | be29e4d41a4de3dee27cd6796801bfe51382d294 | [
"MIT"
] | 43 | 2020-04-14T10:43:33.000Z | 2022-03-13T02:27:54.000Z | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from parlai.core.teachers import DialogTeacher
from .build import build
import json
import os
import glob
def _path(o... | 28.8 | 75 | 0.593483 |
b8f361313c8729389bffeeb00fbc16ca3cda3962 | 4,191 | py | Python | utils/tutorials_tests/copyright_test/test_copyright.py | LRVerkin/tutorials | 365757b0dee90f63a53851e40bfad790aca3cf8d | [
"MIT"
] | null | null | null | utils/tutorials_tests/copyright_test/test_copyright.py | LRVerkin/tutorials | 365757b0dee90f63a53851e40bfad790aca3cf8d | [
"MIT"
] | null | null | null | utils/tutorials_tests/copyright_test/test_copyright.py | LRVerkin/tutorials | 365757b0dee90f63a53851e40bfad790aca3cf8d | [
"MIT"
] | 1 | 2022-02-25T12:07:16.000Z | 2022-02-25T12:07:16.000Z | # Copyright (c) 2019 Graphcore Ltd. All rights reserved.
import argparse
import datetime
import fileinput
import inspect
import os
import re
import sys
import configparser
C_FILE_EXTS = ['c', 'cpp', 'C', 'cxx', 'c++', 'h', 'hpp']
EXCLUDED = []
def check_file(path, language, amend):
comment = "#" if language =... | 32.488372 | 107 | 0.582439 |
1becbbf9225e9009d8b9d5bbfe81bc50d79d0a84 | 1,166 | py | Python | cupy/io/text.py | umitanuki/chainer | 225c56b233e684ff4855451d2af4c2fb66915f21 | [
"MIT"
] | null | null | null | cupy/io/text.py | umitanuki/chainer | 225c56b233e684ff4855451d2af4c2fb66915f21 | [
"MIT"
] | null | null | null | cupy/io/text.py | umitanuki/chainer | 225c56b233e684ff4855451d2af4c2fb66915f21 | [
"MIT"
] | 1 | 2018-11-18T00:36:51.000Z | 2018-11-18T00:36:51.000Z | import numpy
def loadtxt(fname, dtype=numpy.float64, comments='#', delimiter=None,
converters=None, skiprows=0, usecols=None, unpack=False, ndmin=0):
# TODO(beam2d): Implement it
raise NotImplementedError
def savetxt(fname, X, fmt='%.18e', delimiter=' ', newline='\n', header='',
foot... | 33.314286 | 78 | 0.656947 |
14700d5cc97383f7774d828c43a6d3cf8c259ebf | 1,079 | py | Python | academicstoday_project/student/views/announcement.py | LeeDoona/EasyGrading | 8a3b7a95e328a5b710bd98934dcde7556731bd72 | [
"Apache-2.0"
] | 146 | 2017-02-04T11:14:50.000Z | 2021-12-30T20:54:50.000Z | academicstoday_project/student/views/announcement.py | LeeDoona/EasyGrading | 8a3b7a95e328a5b710bd98934dcde7556731bd72 | [
"Apache-2.0"
] | 139 | 2015-02-21T21:40:34.000Z | 2016-02-20T13:34:25.000Z | academicstoday_project/student/views/announcement.py | topsit143/acda | c2a20ffd1dcf8668d1fe401d114d32d9e686f1fd | [
"Apache-2.0"
] | 88 | 2017-01-20T20:32:44.000Z | 2022-02-07T05:32:44.000Z | from django.shortcuts import render
from django.core import serializers
from django.http import HttpResponse
from django.contrib.auth.models import User
from django.contrib.auth.decorators import login_required
from django.conf import settings
import json
import datetime
from registrar.models import Student
from regist... | 35.966667 | 89 | 0.754402 |
8b53c7a0170e8f9e0c9a8019a5b18e555c3e106c | 5,139 | py | Python | bigflow/build/operate.py | allegro/bigflow | df8b5112c220c9797d10504ba3db5401cf4684a7 | [
"Apache-2.0"
] | 63 | 2020-08-15T19:02:06.000Z | 2022-03-29T16:19:00.000Z | bigflow/build/operate.py | allegro/bigflow | df8b5112c220c9797d10504ba3db5401cf4684a7 | [
"Apache-2.0"
] | 133 | 2020-08-18T03:51:05.000Z | 2022-03-05T13:43:22.000Z | bigflow/build/operate.py | allegro/bigflow | df8b5112c220c9797d10504ba3db5401cf4684a7 | [
"Apache-2.0"
] | 10 | 2020-08-25T05:19:31.000Z | 2022-02-03T10:33:41.000Z | """Actual implementaion of buid/distribution operations"""
import os
import subprocess
import shutil
import logging
import typing
from pathlib import Path
import bigflow.resources
import bigflow.dagbuilder
import bigflow.version
import bigflow.build.pip
import bigflow.build.dev
import bigflow.build.dist
import bigfl... | 32.11875 | 129 | 0.712395 |
23d22a71928704ff4a1ec1075363c2155635b29a | 12,737 | py | Python | mouse/blink_click.py | EmergentMind/knausj_talon | 476b6aa01e55683ad60c1cabe8789ca2046d98c6 | [
"Unlicense"
] | null | null | null | mouse/blink_click.py | EmergentMind/knausj_talon | 476b6aa01e55683ad60c1cabe8789ca2046d98c6 | [
"Unlicense"
] | null | null | null | mouse/blink_click.py | EmergentMind/knausj_talon | 476b6aa01e55683ad60c1cabe8789ca2046d98c6 | [
"Unlicense"
] | null | null | null | import collections
from os import system
from sys import platform
from time import sleep, time
from talon import Module, actions, app, ctrl, settings, ui
from talon.track.geom import Point2d
from talon_plugins.eye_mouse import menu, tracker
mod = Module()
class EyeMouseSleepTracker(object):
"""Track whether or... | 38.364458 | 141 | 0.528539 |
a4f7c2d9ec928de198336104fcf90ef06b3fef5c | 4,988 | py | Python | spectra_cluster/ui/clustering_stats.py | spectra-cluster/spectra-cluster-py | 38797217b9451b192fe56cb72f2478f7f9e065e3 | [
"Apache-2.0"
] | 3 | 2017-03-08T08:05:32.000Z | 2019-08-06T11:13:35.000Z | spectra_cluster/ui/clustering_stats.py | spectra-cluster/spectra-cluster-py | 38797217b9451b192fe56cb72f2478f7f9e065e3 | [
"Apache-2.0"
] | 7 | 2016-11-08T13:27:09.000Z | 2019-04-23T15:39:35.000Z | spectra_cluster/ui/clustering_stats.py | spectra-cluster/spectra-cluster-py | 38797217b9451b192fe56cb72f2478f7f9e065e3 | [
"Apache-2.0"
] | 2 | 2017-01-22T16:42:48.000Z | 2017-07-18T03:35:12.000Z | """clustering_stats
Extracts basic statistics (ie. number of clusters, incorrectly clustered spectra) from .clustering files.
This script only creates meaningful results if the .clustering file contains identification data which
will be used to evaluate correctly and incorrectly clustered spectra.
Usage:
clusteri... | 39.275591 | 121 | 0.674218 |
8ebcec4c628fb59e650332bc0bbd16f0a2150af2 | 4,780 | py | Python | pymatgen/io/qchem_io/sets.py | hillarypan/pymatgen | 6b14109d59867331a48cd0986200094fd36dcfbb | [
"MIT"
] | null | null | null | pymatgen/io/qchem_io/sets.py | hillarypan/pymatgen | 6b14109d59867331a48cd0986200094fd36dcfbb | [
"MIT"
] | null | null | null | pymatgen/io/qchem_io/sets.py | hillarypan/pymatgen | 6b14109d59867331a48cd0986200094fd36dcfbb | [
"MIT"
] | null | null | null | # coding: utf-8
# Copyright (c) Pymatgen Development Team.
# Distributed under the terms of the MIT License.
import logging
from pymatgen.core import Molecule
from pymatgen.io.qchem_io.inputs import QCInput
# Classes for reading/manipulating/writing QChem ouput files.
__author__ = "Samuel Blau, Brandon Wood, Shyam D... | 38.24 | 121 | 0.619665 |
a4f4ad9201386af9b0c89d7c5861ed18eae49f9a | 35,903 | py | Python | mslib/mswms/demodata.py | plant99/MSS | 4d1cef8d3822000d8f5a1a88bdeec714fda70adb | [
"Apache-2.0"
] | null | null | null | mslib/mswms/demodata.py | plant99/MSS | 4d1cef8d3822000d8f5a1a88bdeec714fda70adb | [
"Apache-2.0"
] | null | null | null | mslib/mswms/demodata.py | plant99/MSS | 4d1cef8d3822000d8f5a1a88bdeec714fda70adb | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
mslib.mswms.demodata
~~~~~~~~~~~~~~~~~~~~
creates netCDF test data files and also a mss_wms_settings for accessing this data
This file is part of mss.
:copyright: Copyright 2017 Jens-Uwe Grooss, Joern Ungermann, Reimar Bauer
:copyright: Copyr... | 29.3565 | 120 | 0.6246 |
03cc3eeccba307115a431086216ba55b4b9773ba | 723 | py | Python | activity1.py | zhua1/pythonActivities | d4bebd9a43d658f4802b998f6963c9c87a94b7d0 | [
"MIT"
] | null | null | null | activity1.py | zhua1/pythonActivities | d4bebd9a43d658f4802b998f6963c9c87a94b7d0 | [
"MIT"
] | null | null | null | activity1.py | zhua1/pythonActivities | d4bebd9a43d658f4802b998f6963c9c87a94b7d0 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import pandas as pd
file = pd.read_csv('C:\\Users\\meifl\\Desktop\\UCIRV201804DATA3-Class-Repository-DATA\\01-LessonPlan\\03-Python\\3\\Activities\\Unsolved\\01-Stu_CerealCleaner\\Resources\\cereal.csv', header = None)
print(file[0][file[7] >= 5])
#-------------------------------------------... | 51.642857 | 211 | 0.511757 |
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