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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9ad18fb0f9acdc9f574d5240c690fd471b76c44e | 18,966 | py | Python | tworaven_apps/ta2_interfaces/models.py | TwoRavens/TwoRavens | e5f820557d6646df525ceed15e17d79f4159cf0a | [
"Apache-2.0"
] | 20 | 2017-12-11T07:26:06.000Z | 2021-11-22T16:16:20.000Z | tworaven_apps/ta2_interfaces/models.py | TwoRavens/TwoRavens | e5f820557d6646df525ceed15e17d79f4159cf0a | [
"Apache-2.0"
] | 849 | 2017-10-20T18:21:18.000Z | 2022-02-18T02:45:44.000Z | tworaven_apps/ta2_interfaces/models.py | TwoRavens/TwoRavens | e5f820557d6646df525ceed15e17d79f4159cf0a | [
"Apache-2.0"
] | 1 | 2020-05-18T06:02:13.000Z | 2020-05-18T06:02:13.000Z |
STATUS_IN_PROGRESS = 'IN_PROGRESS'
STATUS_ERROR = 'ERROR'
STATUS_COMPLETE = 'COMPLETE'
STATUS_LIST = (STATUS_IN_PROGRESS,
STATUS_ERROR, STATUS_COMPLETE)
REQUEST_STATUS_CHOICES = [(x, x) for x in STATUS_LIST]
RESPONSE_STATUS_CHOICES = [(x, x) for x in (STATUS_ERROR, STATUS_COMPLETE)]
| 33.041812 | 88 | 0.577665 | from collections import OrderedDict
import hashlib
from django.db import models
from django.conf import settings
from django.urls import reverse
from django.utils.safestring import mark_safe
import jsonfield
from model_utils.models import TimeStampedModel
from tworaven_apps.utils.basic_response import (ok_resp, err_... | 0 | 5,401 | 0 | 12,704 | 0 | 0 | 0 | 269 | 291 |
bae0ae26bd84544a49ca8061d720569943a23250 | 549 | py | Python | 03_ubuntu-weather-app/code/cleanup.py | rishirdua/eep702-software-laboratory | 9914a96db69607255d62cb2eebdea0cdfcf7ebcd | [
"MIT"
] | 1 | 2015-05-18T10:39:19.000Z | 2015-05-18T10:39:19.000Z | 03_ubuntu-weather-app/code/weather/cleanup.py | rishirdua/eep702-software-laboratory | 9914a96db69607255d62cb2eebdea0cdfcf7ebcd | [
"MIT"
] | null | null | null | 03_ubuntu-weather-app/code/weather/cleanup.py | rishirdua/eep702-software-laboratory | 9914a96db69607255d62cb2eebdea0cdfcf7ebcd | [
"MIT"
] | null | null | null |
##removes all records older than 30 days.. run as cron job
#main file, run as parseweather(woeid)
if __name__ == '__main__':
cleandb()
| 26.142857 | 97 | 0.70674 | import MySQLdb
import urllib2, urllib, re, sys
import xml
from datetime import datetime
##removes all records older than 30 days.. run as cron job
def cleandb(woeid):
try:
# connect to database
db = MySQLdb.connect(host="localhost", user="root", passwd="4c9hq5ea", db="cmaxopaw_weather")
cursor = db.cursor()
c... | 0 | 0 | 0 | 0 | 0 | 298 | 0 | 0 | 110 |
c3af073d48be7df1154eaf58e220576398dfeae9 | 9,197 | py | Python | src/blockdag/blockdag.py | pritchardn/BlockDAG | 6de9c39b4408d95fbe2f3d89d5f7f9ea2764438f | [
"MIT"
] | null | null | null | src/blockdag/blockdag.py | pritchardn/BlockDAG | 6de9c39b4408d95fbe2f3d89d5f7f9ea2764438f | [
"MIT"
] | null | null | null | src/blockdag/blockdag.py | pritchardn/BlockDAG | 6de9c39b4408d95fbe2f3d89d5f7f9ea2764438f | [
"MIT"
] | null | null | null | """BlockDAG generator
This package contains code to build and compare BlockDAG in a lightweight-as-possible manner.
The main method (build_block_dag) performs a Kahn topological sort of the vertices (dict) and edges
(list of (u, v) tuples) building blocks for each vertex as needed.
"""
import json
import collections.... | 34.70566 | 99 | 0.64869 | """BlockDAG generator
This package contains code to build and compare BlockDAG in a lightweight-as-possible manner.
The main method (build_block_dag) performs a Kahn topological sort of the vertices (dict) and edges
(list of (u, v) tuples) building blocks for each vertex as needed.
"""
import json
import hashlib
impo... | 0 | 0 | 0 | 0 | 0 | 2,016 | 0 | 4 | 182 |
8a932aae702122d52a86af536e1089b97bdabc88 | 151 | py | Python | paderwasn/paths.py | fgnt/paderwasn | ff88f73a51228bb2cb4372f7595169dd716f4f2f | [
"MIT"
] | 7 | 2021-09-06T03:42:37.000Z | 2022-01-11T15:51:19.000Z | paderwasn/paths.py | fgnt/paderwasn | ff88f73a51228bb2cb4372f7595169dd716f4f2f | [
"MIT"
] | null | null | null | paderwasn/paths.py | fgnt/paderwasn | ff88f73a51228bb2cb4372f7595169dd716f4f2f | [
"MIT"
] | 1 | 2022-03-22T03:06:58.000Z | 2022-03-22T03:06:58.000Z | from pathlib import Path
calib_set_json_path = (Path(__file__).parent
/ 'databases/geometry_calibration/calibration_set.json')
| 30.2 | 79 | 0.701987 | from pathlib import Path
calib_set_json_path = (Path(__file__).parent
/ 'databases/geometry_calibration/calibration_set.json')
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5d3e5d36c184f62417d304b41d1d64ec58689730 | 20,272 | py | Python | xlwings/tests/udfs/udf_tests.py | Vip1225/testxlwings | 894685144916ab7056be17c0cdc1baa71e8d3af9 | [
"BSD-3-Clause"
] | null | null | null | xlwings/tests/udfs/udf_tests.py | Vip1225/testxlwings | 894685144916ab7056be17c0cdc1baa71e8d3af9 | [
"BSD-3-Clause"
] | null | null | null | xlwings/tests/udfs/udf_tests.py | Vip1225/testxlwings | 894685144916ab7056be17c0cdc1baa71e8d3af9 | [
"BSD-3-Clause"
] | 1 | 2021-11-06T16:26:35.000Z | 2021-11-06T16:26:35.000Z | from datetime import datetime, date
import sys
if sys.version_info >= (2, 7):
from nose.tools import assert_dict_equal
import xlwings as xw
try:
import numpy as np
from numpy.testing import assert_array_equal
except ImportError:
np = None
try:
import pandas as pd
from pandas import DataFrame, S... | 28.116505 | 138 | 0.569159 | from datetime import datetime, date
import sys
if sys.version_info >= (2, 7):
from nose.tools import assert_dict_equal
import xlwings as xw
try:
import numpy as np
from numpy.testing import assert_array_equal
def nparray_equal(a, b):
try:
assert_array_equal(a, b)
except Asse... | 0 | 15,619 | 0 | 0 | 0 | 490 | 0 | 0 | 2,835 |
5281f09deaa23402d6e61d9c47670c0a2419461a | 1,762 | py | Python | task/daily_daysign.py | dhbowen1/unicom-task | 2ff711a1346422f71bbd6796a9f8a1f59ea9c379 | [
"MIT"
] | 178 | 2021-08-16T09:42:47.000Z | 2022-03-25T07:06:35.000Z | task/daily_daysign.py | dhbowen1/unicom-task | 2ff711a1346422f71bbd6796a9f8a1f59ea9c379 | [
"MIT"
] | 43 | 2021-08-16T02:38:29.000Z | 2022-02-04T08:01:50.000Z | task/daily_daysign.py | dhbowen1/unicom-task | 2ff711a1346422f71bbd6796a9f8a1f59ea9c379 | [
"MIT"
] | 120 | 2021-08-17T10:12:37.000Z | 2022-03-30T04:24:25.000Z | # -*- coding: utf-8 -*-
# @Time : 2021/08/14 16:30
# @Author : srcrs
# @Email : srcrs@foxmail.com
#1 1G
#: --> | 50.342857 | 121 | 0.61067 | # -*- coding: utf-8 -*-
# @Time : 2021/08/14 16:30
# @Author : srcrs
# @Email : srcrs@foxmail.com
import requests,json,time,re,login,logging,traceback,os,random,notify,datetime
from lxml.html import fromstring
#每日签到，1积分 ，第七天得到 1G 日包
#位置: 我的 --> 我的金币
class daily_daysign:
def run(self, client, user):
t... | 312 | 0 | 0 | 1,403 | 0 | 0 | 0 | 68 | 66 |
9839efc19a78863f6bd387adf855489cb1d99d1e | 1,889 | py | Python | plugins/joe_sandbox/komand_joe_sandbox/connection/connection.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | 46 | 2019-06-05T20:47:58.000Z | 2022-03-29T10:18:01.000Z | plugins/joe_sandbox/komand_joe_sandbox/connection/connection.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | 386 | 2019-06-07T20:20:39.000Z | 2022-03-30T17:35:01.000Z | plugins/joe_sandbox/komand_joe_sandbox/connection/connection.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | 43 | 2019-07-09T14:13:58.000Z | 2022-03-28T12:04:46.000Z |
# Custom imports below
| 39.354167 | 115 | 0.678666 | import komand
from .schema import ConnectionSchema, Input
# Custom imports below
import jbxapi
from komand.exceptions import ConnectionTestException
class Connection(komand.Connection):
def __init__(self):
super(self.__class__, self).__init__(input=ConnectionSchema())
def connect(self, params):
... | 0 | 0 | 0 | 1,715 | 0 | 0 | 0 | 38 | 111 |
0afc257fe640d7bbaae886cd9133d6d5161b0d89 | 5,091 | py | Python | tests/test_buffer_util.py | mhils/python-zstandard | 70dcc805d7761b1d7e35fd219a4d5d4512acd96a | [
"BSD-3-Clause"
] | null | null | null | tests/test_buffer_util.py | mhils/python-zstandard | 70dcc805d7761b1d7e35fd219a4d5d4512acd96a | [
"BSD-3-Clause"
] | null | null | null | tests/test_buffer_util.py | mhils/python-zstandard | 70dcc805d7761b1d7e35fd219a4d5d4512acd96a | [
"BSD-3-Clause"
] | null | null | null | import struct
ss = struct.Struct("=QQ")
| 35.110345 | 88 | 0.633471 | import struct
import unittest
import zstandard as zstd
ss = struct.Struct("=QQ")
class TestBufferWithSegments(unittest.TestCase):
def test_arguments(self):
if not hasattr(zstd, "BufferWithSegments"):
self.skipTest("BufferWithSegments not available")
with self.assertRaises(TypeError)... | 0 | 0 | 0 | 4,960 | 0 | 0 | 0 | -3 | 91 |
14aaf108131e71fa427262f5ee129addc001ddae | 33,527 | py | Python | canopy/openapi/api/sim_version_api.py | CanopySimulations/canopy-python | 9ec37e674e65d6fbef0402ac0c612c163d55631e | [
"MIT"
] | null | null | null | canopy/openapi/api/sim_version_api.py | CanopySimulations/canopy-python | 9ec37e674e65d6fbef0402ac0c612c163d55631e | [
"MIT"
] | 1 | 2022-01-31T10:18:08.000Z | 2022-01-31T10:18:08.000Z | canopy/openapi/api/sim_version_api.py | CanopySimulations/canopy-python | 9ec37e674e65d6fbef0402ac0c612c163d55631e | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Canopy.Api
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
The version of the OpenAPI document: v1
Generated by: https://openapi-generator.tech
"""
from __future__ import absolute_import
# python 2 and pyt... | 45.063172 | 142 | 0.601068 | # coding: utf-8
"""
Canopy.Api
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
The version of the OpenAPI document: v1
Generated by: https://openapi-generator.tech
"""
from __future__ import absolute_import
import re # noqa:... | 0 | 0 | 0 | 32,978 | 0 | 0 | 0 | 73 | 127 |
188c1a7cce062d9cabbd1c83f59bdcfba4816ea6 | 493 | py | Python | dpoll/polls/migrations/0014_auto_20190205_1016.py | tymmesyde/dpoll.xyz | d3b6b204026f05b3b7a8e0baccf23dee6a41d679 | [
"MIT"
] | 22 | 2018-09-21T09:58:49.000Z | 2020-11-12T08:27:06.000Z | dpoll/polls/migrations/0014_auto_20190205_1016.py | tymmesyde/dpoll.xyz | d3b6b204026f05b3b7a8e0baccf23dee6a41d679 | [
"MIT"
] | 60 | 2018-09-21T10:18:15.000Z | 2021-06-10T20:48:53.000Z | dpoll/polls/migrations/0014_auto_20190205_1016.py | tymmesyde/dpoll.xyz | d3b6b204026f05b3b7a8e0baccf23dee6a41d679 | [
"MIT"
] | 9 | 2018-09-23T02:04:23.000Z | 2021-05-23T16:28:34.000Z | # Generated by Django 2.1.1 on 2019-02-05 10:16
| 21.434783 | 60 | 0.565923 | # Generated by Django 2.1.1 on 2019-02-05 10:16
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('polls', '0013_voteaudit'),
]
operations = [
migrations.RemoveField(
model_name='voteaudit',
name='choice',
)... | 0 | 0 | 0 | 379 | 0 | 0 | 0 | 19 | 46 |
5699963d0cec794c69b5478f1e5642ba6e0669f4 | 623 | py | Python | data.py | codexhyperloop/iMX6-Data-Processing | d0e5ec70f5409838d180dddd9f05244eb17ac370 | [
"MIT"
] | 1 | 2017-01-14T18:35:48.000Z | 2017-01-14T18:35:48.000Z | data.py | codexhyperloop/iMX6-Data-Processing | d0e5ec70f5409838d180dddd9f05244eb17ac370 | [
"MIT"
] | null | null | null | data.py | codexhyperloop/iMX6-Data-Processing | d0e5ec70f5409838d180dddd9f05244eb17ac370 | [
"MIT"
] | null | null | null | Python 2.7.9 (default, Sep 17 2016, 20:26:04)
[GCC 4.9.2] on linux2
Type "copyright", "credits" or "license()" for more information.
>>> ================================ RESTART ================================
>>>
Initializing...
1
Primary SAM3X8E Serial Connected
00
f1
31
32
2e
33
34
35
36
37
20
20
ff
55
34
35
36
3... | 5.5625 | 77 | 0.616372 | Python 2.7.9 (default, Sep 17 2016, 20:26:04)
[GCC 4.9.2] on linux2
Type "copyright", "credits" or "license()" for more information.
>>> ================================ RESTART ================================
>>>
Initializing...
1
Primary SAM3X8E Serial Connected
00
f1
31
32
2e
33
34
35
36
37
20
20
ff
55
34
35
36
3... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
909029fb6eecc1b3676465c6ec4bc40b837c755d | 5,230 | py | Python | conkit/core/tests/test_distance.py | jjavier-bm/conkit | da54f0679bcc346e9dbeb67c71c31800ccbb2172 | [
"BSD-3-Clause"
] | 2 | 2016-10-05T09:00:24.000Z | 2016-10-05T21:12:15.000Z | conkit/core/tests/test_distance.py | fsimkovic/cptbx | 9888e40caa1720a9905c551b963ffd4f99f9c913 | [
"BSD-3-Clause"
] | null | null | null | conkit/core/tests/test_distance.py | fsimkovic/cptbx | 9888e40caa1720a9905c551b963ffd4f99f9c913 | [
"BSD-3-Clause"
] | null | null | null | """Testing facility for conkit.core.distance.Distance"""
import unittest
if __name__ == "__main__":
unittest.main(verbosity=2)
| 49.809524 | 114 | 0.62218 | """Testing facility for conkit.core.distance.Distance"""
import unittest
import numpy as np
from conkit.core.distance import Distance
from conkit.core.distogram import Distogram
class TestDistance(unittest.TestCase):
def test_predicted_distance_1(self):
distance = Distance(1, 25, (0.15, 0.45, 0.25, 0.05... | 0 | 0 | 0 | 4,967 | 0 | 0 | 0 | 39 | 89 |
055e81a472eb633602fe24ac6ab1bce6102a3c04 | 572 | py | Python | mmdet/core/utils/__init__.py | opencv/mmdetection | 6a7dfa5b954d6bbad7f8d33db8268b0fafc7d555 | [
"Apache-2.0"
] | 24 | 2020-04-15T14:54:44.000Z | 2020-08-12T12:45:57.000Z | mmdet/core/utils/__init__.py | opencv/mmdetection | 6a7dfa5b954d6bbad7f8d33db8268b0fafc7d555 | [
"Apache-2.0"
] | 46 | 2020-04-10T12:01:59.000Z | 2020-09-04T06:25:56.000Z | mmdet/core/utils/__init__.py | ovextra/mmdetection | 230fb739a50d8495e826013c7bbf64b7e0aff939 | [
"Apache-2.0"
] | 11 | 2020-04-16T17:55:29.000Z | 2020-08-25T11:13:58.000Z | # Copyright (C) 2018-2021 OpenMMLab
# SPDX-License-Identifier: Apache-2.0
#
# Copyright (C) 2020-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
from .dist_utils import (DistOptimizerHook, all_reduce_dict, allreduce_grads, reduce_mean)
from .lr_updater import CosineAnnealingUntilEpochLrUpdaterHook
from .... | 33.647059 | 64 | 0.748252 | # Copyright (C) 2018-2021 OpenMMLab
# SPDX-License-Identifier: Apache-2.0
#
# Copyright (C) 2020-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
from .dist_utils import (DistOptimizerHook, all_reduce_dict,
allreduce_grads, reduce_mean)
from .lr_updater import CosineAnnealingUntil... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0 |
e98fe05eea9777274c2e140ddd0bd4b5f8d2fc3a | 1,801 | py | Python | testsuite/tests/apicast/policy/content_limits/test_payload_limits_response.py | dlaso99/3scale-tests | b31a3b3596af6d632b393e383c0417ea56bd95ca | [
"Apache-2.0"
] | 5 | 2021-11-04T14:09:24.000Z | 2021-12-23T13:48:36.000Z | testsuite/tests/apicast/policy/content_limits/test_payload_limits_response.py | dlaso99/3scale-tests | b31a3b3596af6d632b393e383c0417ea56bd95ca | [
"Apache-2.0"
] | 41 | 2021-11-03T14:27:21.000Z | 2022-03-29T14:46:16.000Z | testsuite/tests/apicast/policy/content_limits/test_payload_limits_response.py | dlaso99/3scale-tests | b31a3b3596af6d632b393e383c0417ea56bd95ca | [
"Apache-2.0"
] | 12 | 2021-11-03T17:28:31.000Z | 2021-11-30T12:28:25.000Z | """
Testing that the request/response content limit policy limits the content-length of the
response body
"""
import pytest
pytestmark = [pytest.mark.issue("https://issues.redhat.com/browse/THREESCALE-5244"),
pytest.mark.skipif("TESTED_VERSION < Version('2.11')"),
pytest.mark.issue("https:... | 39.152174 | 95 | 0.684064 | """
Testing that the request/response content limit policy limits the content-length of the
response body
"""
import pytest
from packaging.version import Version # noqa # pylint: disable=unused-import
from testsuite import rawobj, TESTED_VERSION # noqa # pylint: disable=unused-import
pytestmark = [pytest.mark.issue... | 0 | 1,200 | 0 | 0 | 0 | 0 | 0 | 39 | 193 |
f14e83fa5f5b32dab5d8e26d70332e7dc7c2a536 | 2,051 | py | Python | tests/test_output_file.py | gertjanklein/iris-export-builder | 5b8c14429c923f653b04b78badc5dc84ad5d9ce7 | [
"Apache-2.0"
] | null | null | null | tests/test_output_file.py | gertjanklein/iris-export-builder | 5b8c14429c923f653b04b78badc5dc84ad5d9ce7 | [
"Apache-2.0"
] | null | null | null | tests/test_output_file.py | gertjanklein/iris-export-builder | 5b8c14429c923f653b04b78badc5dc84ad5d9ce7 | [
"Apache-2.0"
] | null | null | null | """ Tests output file handling.
"""
from importlib import import_module
builder = import_module("build-export") # type: Any
CFG = """
[Source]
type = "directory"
srctype = 'xml'
cspdir = 'csp'
datadir = 'data'
srcdir = 'src'
[CSP]
export = 'none'
[Data]
export = 'none'
[Directory]
path = '{path}'
[Local]
"""
| 23.574713 | 99 | 0.652852 | """ Tests output file handling.
"""
from importlib import import_module
from typing import Any
from os.path import join
from unittest.mock import patch
import pytest
builder = import_module("build-export") # type: Any
CFG = """
[Source]
type = "directory"
srctype = 'xml'
cspdir = 'csp'
datadir = 'data'
srcdir = 's... | 0 | 1,590 | 0 | 0 | 0 | 0 | 0 | 6 | 135 |
590e157b48856d7b3d22e9f52ba60229dfe09377 | 1,385 | py | Python | python/tools/games/scrabble.py | xanderyzwich/Playground | 3c8bbfc33383f7ac1c88c2093fbe096cc2c44c3a | [
"Apache-2.0"
] | 1 | 2021-08-19T13:40:26.000Z | 2021-08-19T13:40:26.000Z | python/tools/games/scrabble.py | xanderyzwich/Playground | 3c8bbfc33383f7ac1c88c2093fbe096cc2c44c3a | [
"Apache-2.0"
] | null | null | null | python/tools/games/scrabble.py | xanderyzwich/Playground | 3c8bbfc33383f7ac1c88c2093fbe096cc2c44c3a | [
"Apache-2.0"
] | 1 | 2021-03-31T12:37:14.000Z | 2021-03-31T12:37:14.000Z | """
Scrabble Hand
Given an array of scrabble tiles,
create a function that outputs the maximum possible score a player can achieve
by summing up the total number of points for all the tiles in their hand.
Each hand contains 7 scrabble tiles.
"""
tile, score = 'tile', 'score'
arg, expected = 'arg',... | 27.156863 | 83 | 0.441155 | """
Scrabble Hand
Given an array of scrabble tiles,
create a function that outputs the maximum possible score a player can achieve
by summing up the total number of points for all the tiles in their hand.
Each hand contains 7 scrabble tiles.
"""
from unittest import TestCase
tile, score = 'tile', ... | 0 | 0 | 0 | 881 | 0 | 87 | 0 | 8 | 72 |
9f39718a43ee9c4e0b949020153755c7e5ac19e6 | 1,642 | py | Python | Accuracy_test/Evaluation.py | punch872/EyeWarnYou | 71ea21a8b3f1ae213478d735a10a240524b89702 | [
"MIT"
] | 1 | 2019-03-04T08:37:26.000Z | 2019-03-04T08:37:26.000Z | Accuracy_test/Evaluation.py | punch872/EyeWarnYou | 71ea21a8b3f1ae213478d735a10a240524b89702 | [
"MIT"
] | null | null | null | Accuracy_test/Evaluation.py | punch872/EyeWarnYou | 71ea21a8b3f1ae213478d735a10a240524b89702 | [
"MIT"
] | null | null | null | features_data = np.array(sentences)
# 10
k_fold = KFold(n_splits=10, random_state=1992, shuffle=True)
word_features = None
accuracy_scores = []
for train_set, test_set in k_fold.split(features_data):
word_features = get_word_features(get_words_in_sentences(features_data[train_set].tolist()))
train_features =... | 48.294118 | 96 | 0.621194 | features_data = np.array(sentences)
# แบ่งข้อมูลเป็น 10 ชุด โดยไม่เรียง
k_fold = KFold(n_splits=10, random_state=1992, shuffle=True)
word_features = None
accuracy_scores = []
for train_set, test_set in k_fold.split(features_data):
word_features = get_word_features(get_words_in_sentences(features_data[train_set].tol... | 84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
220241ed486dc264ff2364e8bb6b8299482ab594 | 814 | py | Python | examples/create_report_with_author.py | imuledx/client-python | 4f4c407b86d6a6778892a09da38c1ba512e69bff | [
"Apache-2.0"
] | 42 | 2019-06-26T19:07:26.000Z | 2022-03-24T00:44:53.000Z | examples/create_report_with_author.py | imuledx/client-python | 4f4c407b86d6a6778892a09da38c1ba512e69bff | [
"Apache-2.0"
] | 178 | 2019-06-23T23:04:04.000Z | 2022-03-30T18:26:38.000Z | examples/create_report_with_author.py | imuledx/client-python | 4f4c407b86d6a6778892a09da38c1ba512e69bff | [
"Apache-2.0"
] | 55 | 2019-07-11T17:16:34.000Z | 2022-03-30T16:33:26.000Z | # coding: utf-8
from dateutil.parser import parse
from pycti import OpenCTIApiClient
# Variables
api_url = "https://demo.opencti.io"
api_token = "YOUR_TOKEN"
# OpenCTI initialization
opencti_api_client = OpenCTIApiClient(api_url, api_token)
# Define the date
date = parse("2019-12-01").strftime("%Y-%m-%dT%H:%M:%SZ"... | 22.611111 | 57 | 0.723587 | # coding: utf-8
from dateutil.parser import parse
from pycti import OpenCTIApiClient
# Variables
api_url = "https://demo.opencti.io"
api_token = "YOUR_TOKEN"
# OpenCTI initialization
opencti_api_client = OpenCTIApiClient(api_url, api_token)
# Define the date
date = parse("2019-12-01").strftime("%Y-%m-%dT%H:%M:%SZ"... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5631494df59e8db24a1222c7ee79f6627fe535de | 262 | py | Python | src/m2/src/preprocess_flow.py | pvzteam/pvz_recsys2019 | 3fd14d3b82033474d2e172402abd0ebc5e7b0afc | [
"Apache-2.0"
] | 1 | 2019-07-24T08:41:53.000Z | 2019-07-24T08:41:53.000Z | src/m2/src/preprocess_flow.py | pvzteam/pvz_recsys2019 | 3fd14d3b82033474d2e172402abd0ebc5e7b0afc | [
"Apache-2.0"
] | null | null | null | src/m2/src/preprocess_flow.py | pvzteam/pvz_recsys2019 | 3fd14d3b82033474d2e172402abd0ebc5e7b0afc | [
"Apache-2.0"
] | 1 | 2020-12-02T09:49:12.000Z | 2020-12-02T09:49:12.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
import os
print ('filter_useless_data')
os.system('python filter_useless_data.py')
print ('gen_imprs')
os.system('python gen_imprs.py')
print ('gen_samples')
os.system('python gen_samples.py')
| 15.411765 | 42 | 0.71374 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# 基础模块
import os
import sys
print ('filter_useless_data')
os.system('python filter_useless_data.py')
print ('gen_imprs')
os.system('python gen_imprs.py')
print ('gen_samples')
os.system('python gen_samples.py')
| 12 | 0 | 0 | 0 | 0 | 0 | 0 | -11 | 22 |
7b6e3d762ff69c818d31742f3481de6375b7d6f9 | 1,317 | py | Python | tests/test_service.py | drankinn/wolverine | 22c3e59db70c96edb3f4c2ebaf8482eda10a3e2a | [
"MIT"
] | 4 | 2015-10-19T23:09:42.000Z | 2016-01-07T09:52:13.000Z | tests/test_service.py | drankinn/wolverine | 22c3e59db70c96edb3f4c2ebaf8482eda10a3e2a | [
"MIT"
] | 2 | 2015-10-21T20:46:12.000Z | 2021-03-22T17:15:17.000Z | tests/test_service.py | drankinn/wolverine | 22c3e59db70c96edb3f4c2ebaf8482eda10a3e2a | [
"MIT"
] | 3 | 2015-11-13T12:33:40.000Z | 2021-10-04T17:42:14.000Z |
#class TestService(object):
# def test_micro_service(event_loop):
# app = TestMicroApp(loop=event_loop)
# options = {'op_1': 'test', 'op_2': True}
# service = MicroService(app, name='test', version=2, **options)
# assert service.name == 'test'
# assert service.version == 2
# ... | 37.628571 | 77 | 0.572513 | from wolverine.module.service import MicroService, ServiceMessage, ServiceDef
from wolverine.test import TestMicroApp
#class TestService(object):
# def test_micro_service(event_loop):
# app = TestMicroApp(loop=event_loop)
# options = {'op_1': 'test', 'op_2': True}
# service = MicroService(app... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 74 | 44 |
d2c24f0424cd286a6ffc0db161ee067b57b0c8d6 | 1,617 | py | Python | ANLY-501-INTRO/LAB11/LUNA-EX/LUNA-COLOR-EXAMPLE.py | rexarski/ggtown-ds | 00bbb26e28b4431cf4aeff68ea0b3b9220af0b1f | [
"MIT"
] | null | null | null | ANLY-501-INTRO/LAB11/LUNA-EX/LUNA-COLOR-EXAMPLE.py | rexarski/ggtown-ds | 00bbb26e28b4431cf4aeff68ea0b3b9220af0b1f | [
"MIT"
] | null | null | null | ANLY-501-INTRO/LAB11/LUNA-EX/LUNA-COLOR-EXAMPLE.py | rexarski/ggtown-ds | 00bbb26e28b4431cf4aeff68ea0b3b9220af0b1f | [
"MIT"
] | null | null | null |
import numpy as np
import matplotlib.pyplot as plt
#LOAD IMAGE
name='luna-1.jpeg'
x=plt.imread(name)
#ROTATE BY SWITCHING X AND Y DIMENSIONS
if(name=="luna-2.jpeg"):
plt.imshow(x); plt.show()
x=np.transpose(x,axes=[1,0,2])
#SHOW IMAGE
plt.imshow(x); plt.show()
#QUICK INFO ON IMAGE
get_info(x)
#CROP
pl... | 25.666667 | 91 | 0.6376 |
import numpy as np
import matplotlib.pyplot as plt
#LOAD IMAGE
name='luna-1.jpeg'
x=plt.imread(name)
#ROTATE BY SWITCHING X AND Y DIMENSIONS
if(name=="luna-2.jpeg"):
plt.imshow(x); plt.show()
x=np.transpose(x,axes=[1,0,2])
#SHOW IMAGE
plt.imshow(x); plt.show()
#QUICK INFO ON IMAGE
def get_info(image):
... | 0 | 0 | 0 | 0 | 0 | 796 | 0 | 31 | 44 |
545531c914d13d6608126fcfcf4e1138544ff3cf | 4,072 | py | Python | jojo/config.py | spiarh/jojo | 074ec90b216341a1fac5252ebfc7e3f7e2864b4c | [
"MIT"
] | null | null | null | jojo/config.py | spiarh/jojo | 074ec90b216341a1fac5252ebfc7e3f7e2864b4c | [
"MIT"
] | null | null | null | jojo/config.py | spiarh/jojo | 074ec90b216341a1fac5252ebfc7e3f7e2864b4c | [
"MIT"
] | null | null | null | import os
import typing
# import jsonschema
import default
import util
def get_buildfile_path(path: str, image_name: str) -> str:
'''
Returns the path of the buildfile.
:param path: The path of the image directory.
'''
image_dir = util.get_image_dir(path, image_name)
buildfile = os.p... | 23.674419 | 69 | 0.636542 | import dataclasses
import enum
import os
import typing
import dacite
# import jsonschema
import yaml
import default
import util
class SourceType(enum.Enum):
ALPINE = 'alpine'
GITHUB = 'github'
class TagType(enum.Enum):
TAG = 'TAG'
VERSION = 'VERSION'
VERSION_DATE = 'VERSION_DATE'
VERSION_G... | 0 | 2,343 | 0 | 440 | 0 | 0 | 0 | -31 | 296 |
c333af008a70efe685499e098831d999a4dddc55 | 1,025 | py | Python | module/Modeling/UV.py | minoue/rush | 7ef722a5eb85b532c3aa992ac122349be5e88241 | [
"MIT"
] | 55 | 2017-04-25T18:57:11.000Z | 2022-01-10T15:31:25.000Z | module/Modeling/UV.py | minoue/miExecutor | 7ef722a5eb85b532c3aa992ac122349be5e88241 | [
"MIT"
] | 2 | 2019-06-15T09:16:00.000Z | 2021-10-05T09:46:03.000Z | module/Modeling/UV.py | minoue/miExecutor | 7ef722a5eb85b532c3aa992ac122349be5e88241 | [
"MIT"
] | 10 | 2018-02-07T04:20:11.000Z | 2021-08-17T11:06:06.000Z |
commandDict = {}
commandDict['uvTextureEditor'] = "textureEditor.png"
commandDict['uVSetEditor'] = "sphere.png"
commandDict['uvProjection_automatic'] = "polyAutoProj.png"
commandDict['uvProjection_automatic_options'] = "polyAutoProj.png"
commandDict['bestPlaneTexturingTool'] = "bestPlaneTxt.png"
commandDict[... | 23.837209 | 87 | 0.76 | from maya import cmds
from maya import mel
commandDict = {}
def uvTextureEditor():
cmds.TextureViewWindow()
def uVSetEditor():
cmds.UVSetEditor()
def uvProjection_automatic():
mel.eval("performPolyAutoProj 0")
def uvProjection_automatic_options():
mel.eval("performPolyAutoProj 1")
def bestPl... | 0 | 0 | 0 | 0 | 0 | 381 | 0 | -1 | 205 |
27529f90fbc906fded5c5849bb0942faff9a5f51 | 33 | py | Python | helloWorld/helloWorld.py | NaebIis/Python | 2b10a7c59abf3618695331525d0bc812845ae40f | [
"MIT"
] | null | null | null | helloWorld/helloWorld.py | NaebIis/Python | 2b10a7c59abf3618695331525d0bc812845ae40f | [
"MIT"
] | null | null | null | helloWorld/helloWorld.py | NaebIis/Python | 2b10a7c59abf3618695331525d0bc812845ae40f | [
"MIT"
] | null | null | null | msg = ('Hello World')
print(msg) | 11 | 21 | 0.636364 | msg = ('Hello World')
print(msg) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4f6957bc6dab7937b679195f8b9ea84f0f309483 | 7,825 | py | Python | examples/7-streamlit-dataview-master/app.py | Zen-Reportz/ZenPublish | 6e3587fecfbe436e03b410c83d2e7e385d8c8877 | [
"Apache-2.0"
] | 30 | 2021-12-25T15:39:42.000Z | 2022-02-25T04:53:44.000Z | examples/7-streamlit-dataview-master/app.py | Zen-Reportz/ZenPublish | 6e3587fecfbe436e03b410c83d2e7e385d8c8877 | [
"Apache-2.0"
] | 11 | 2022-01-02T22:10:07.000Z | 2022-02-02T00:56:33.000Z | examples/7-streamlit-dataview-master/app.py | Zen-Reportz/ZenPublish | 6e3587fecfbe436e03b410c83d2e7e385d8c8877 | [
"Apache-2.0"
] | 2 | 2022-01-27T13:22:46.000Z | 2022-01-30T05:01:59.000Z | import streamlit as st
import pandas as pd
from gwosc import datasets
from gwosc.api import fetch_event_json
from copy import deepcopy
import base64
# Use the non-interactive Agg backend, which is recommended as a
# thread-safe backend.
# See https://matplotlib.org/3.3.2/faq/howto_faq.html#working-with-threads.
impor... | 33.440171 | 180 | 0.689329 | import streamlit as st
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import requests, os
from gwpy.timeseries import TimeSeries
from gwosc.locate import get_urls
from gwosc import datasets
from gwosc.api import fetch_event_json
from copy import deepcopy
import base64
# Use the non-interactiv... | 21 | 144 | 0 | 0 | 0 | 0 | 0 | 34 | 134 |
f29ad1038b5a75e616ab5892a2a1ec5f31ccb71b | 825 | py | Python | scripts/state_wise_crop_success.py | Shreya869/minor-pro | 06e30e70023c25b264d887820ad5aeec2a6ebb51 | [
"MIT"
] | 31 | 2018-12-01T17:06:07.000Z | 2022-02-15T13:23:14.000Z | scripts/state_wise_crop_success.py | Shreya869/minor-pro | 06e30e70023c25b264d887820ad5aeec2a6ebb51 | [
"MIT"
] | 1 | 2021-12-24T13:22:23.000Z | 2021-12-24T13:23:57.000Z | scripts/state_wise_crop_success.py | Shreya869/minor-pro | 06e30e70023c25b264d887820ad5aeec2a6ebb51 | [
"MIT"
] | 13 | 2020-08-14T05:19:38.000Z | 2022-01-18T13:55:15.000Z | import pandas as pa
#%%
datset=pa.read_csv('district_wise_crop_success.csv')
datset_state=datset.drop_duplicates('state')['state']
#%%
ll=[]
for i in datset_state:
distinct_state_crop=datset.loc[(datset['state'] == i)].drop_duplicates('crop')['crop']
for j in distinct_state_crop:
l=[]
crop_vals=... | 31.730769 | 92 | 0.734545 | import pandas as pa
import numpy as np
import matplotlib.pyplot as plt
from sklearn.preprocessing import Imputer,LabelEncoder,OneHotEncoder
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
from sklearn.model_selection import cross_val_score
#%%
datset=pa.read_cs... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 143 | 136 |
823d5d669c58f480aa5ea4fabe590153f69328f2 | 8,834 | py | Python | python/mm/path_inference_private/plot_em_final.py | tjhunter/phd-thesis-tjhunter | 8238e156b5dba9940bdda2a46cfffb62699f364d | [
"Apache-2.0"
] | 1 | 2018-03-25T11:36:21.000Z | 2018-03-25T11:36:21.000Z | python/mm/path_inference_private/plot_em_final.py | tjhunter/phd-thesis-tjhunter | 8238e156b5dba9940bdda2a46cfffb62699f364d | [
"Apache-2.0"
] | null | null | null | python/mm/path_inference_private/plot_em_final.py | tjhunter/phd-thesis-tjhunter | 8238e156b5dba9940bdda2a46cfffb62699f364d | [
"Apache-2.0"
] | null | null | null | import build
import numpy as np
from collections import defaultdict
import pickle
import random
random.seed = 1
from mm.path_inference_private.proj_templates import get_em_evaluation_fnames, get_evaluation_em_data_file
from mm.path_inference_private.evaluation import LEARNING_METHOD_IDX, METRIC_NAME_IDX, STRAT_NAME_ID... | 35.620968 | 281 | 0.735228 | import build
import numpy as np
from collections import defaultdict
import pickle
import random
random.seed = 1
from mm.path_inference_private.proj_templates import get_em_evaluation_fnames, get_evaluation_em_data_file
from mm.path_inference_private.evaluation import LEARNING_METHOD_IDX, METRIC_NAME_IDX, STRAT_NAME_ID... | 0 | 0 | 0 | 0 | 0 | 1,709 | 0 | 29 | 114 |
669a88b33e0812e69e6f1238498b06168e9c6430 | 9,340 | py | Python | miniversion/cv2MOT.py | absallh/A_yolov3 | 550ec41de42b8efe638e887c51a568189947e049 | [
"Apache-2.0"
] | 6 | 2019-12-30T14:26:23.000Z | 2021-09-14T04:48:20.000Z | miniversion/cv2MOT.py | absallh/A_yolov3 | 550ec41de42b8efe638e887c51a568189947e049 | [
"Apache-2.0"
] | 1 | 2020-01-13T10:44:30.000Z | 2020-12-08T10:54:10.000Z | miniversion/cv2MOT.py | absallh/A_yolov3 | 550ec41de42b8efe638e887c51a568189947e049 | [
"Apache-2.0"
] | 3 | 2020-04-01T06:10:32.000Z | 2020-10-18T05:02:16.000Z | import os
import sys
from random import randint
import cv2
# from utils.utils import xyxy2xywh
os.environ["CUDA_VISIBLE_DEVICES"] = "1"
trackerTypes = [
'BOOSTING', 'MIL', 'KCF', 'TLD', 'MEDIANFLOW', 'GOTURN', 'MOSSE', 'CSRT'
]
if __name__ == "__main__":
#################################################... | 34.850746 | 77 | 0.530621 | import glob
import os
import sys
import time
from random import randint
import cv2
import numpy as np
import torch
from PIL import Image
from models import *
from utils.datasets import *
from utils.utils import *
# from utils.utils import xyxy2xywh
os.environ["CUDA_VISIBLE_DEVICES"] = "1"
trackerTypes = [
'BOOS... | 0 | 0 | 0 | 4,368 | 0 | 1,328 | 0 | -22 | 246 |
7c7b4d94033c18dbcaac16d22936929cb4b5ccca | 6,110 | py | Python | gan.py | chetanchougle/gan | 264d90cae43300d87d13bb42019deceae224b16d | [
"MIT"
] | 2 | 2020-12-14T03:08:22.000Z | 2020-12-14T13:49:08.000Z | gan.py | deathstar1/gan | 264d90cae43300d87d13bb42019deceae224b16d | [
"MIT"
] | null | null | null | gan.py | deathstar1/gan | 264d90cae43300d87d13bb42019deceae224b16d | [
"MIT"
] | null | null | null | import os
import numpy as np
import pandas as pd
from scipy.misc import imread
import tensorflow as tf
from six.moves import urllib
from keras.models import Sequential
from keras.layers import Dense, Flatten, Reshape, InputLayer
from keras.regularizers import L1L2
from scipy.misc import imsave
import gzip
import os
i... | 30.247525 | 147 | 0.727332 | import os
import numpy as np
import pandas as pd
from scipy.misc import imread
import tensorflow as tf
from six.moves import urllib
import keras
from keras.models import Sequential
from keras.layers import Dense, Flatten, Reshape, InputLayer
from keras.regularizers import L1L2
from scipy.misc import imsave
import gz... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -30 | 67 |
d0d20743fdd39b355e497598543bd007290f251f | 840 | py | Python | src/discolight/loaders/annotation/widthheightcsv.py | denzel-datature/discolight | 7c8309d3f883263b2e4cae0b289f17be1d1c07ea | [
"MIT"
] | 27 | 2020-07-23T08:09:25.000Z | 2022-03-01T08:24:43.000Z | src/discolight/loaders/annotation/widthheightcsv.py | denzel-datature/discolight | 7c8309d3f883263b2e4cae0b289f17be1d1c07ea | [
"MIT"
] | 7 | 2020-08-05T07:26:55.000Z | 2020-12-31T04:20:40.000Z | src/discolight/loaders/annotation/widthheightcsv.py | denzel-datature/discolight | 7c8309d3f883263b2e4cae0b289f17be1d1c07ea | [
"MIT"
] | 6 | 2020-07-27T04:30:01.000Z | 2020-08-13T02:39:25.000Z | """A CSV annotation writer that reads the bbox in x, y, w, h format."""
| 28.965517 | 78 | 0.633333 | """A CSV annotation writer that reads the bbox in x, y, w, h format."""
from discolight.annotations import BoundingBox
from .types import CSVRow, CSVAnnotationLoader
class WidthHeightCSV(CSVAnnotationLoader):
"""Loads annotations from a CSV file in the following format.
image_name, x_min, y_min, width, heig... | 0 | 0 | 0 | 650 | 0 | 0 | 0 | 50 | 67 |
49e3ecde9b58eb66278f7f1a1c0f0f1149f1d935 | 17,813 | py | Python | cogs/moderation.py | AtlasC0R3/drop-discord | 5f1be41d25a2717df2e1713376c08cede41d3068 | [
"Apache-2.0"
] | 4 | 2021-05-28T17:30:29.000Z | 2021-11-07T13:18:48.000Z | cogs/moderation.py | AtlasC0R3/drop-bot | 5f1be41d25a2717df2e1713376c08cede41d3068 | [
"Apache-2.0"
] | 1 | 2021-05-28T17:33:59.000Z | 2021-06-04T22:50:41.000Z | cogs/moderation.py | AtlasC0R3/drop-discord | 5f1be41d25a2717df2e1713376c08cede41d3068 | [
"Apache-2.0"
] | 3 | 2020-12-30T17:58:33.000Z | 2021-01-16T20:29:09.000Z |
with open("data/embed_colors.json") as f:
colors = json.load(f)
color_list = [c for c in colors.values()]
| 40.66895 | 117 | 0.565149 | import asyncio
import random
import discord
import drop.errors
from discord.ext import commands
from data.extdata import get_language_str, wait_for_user, get_file_type
from drop.tempban import *
from drop.errors import *
with open("data/embed_colors.json") as f:
colors = json.load(f)
color_list = [c for c in... | 0 | 16,880 | 0 | 520 | 0 | 27 | 0 | 45 | 224 |
9245b2f32aacf668eec37f087f06611c4ba6d51c | 400 | py | Python | bot/models/Sizers/DefaultSizer.py | estebanthi/BinanceTradingBotV4 | 93ccac86db9bc8612248bf5cd1bc9e359749e383 | [
"MIT"
] | 4 | 2021-11-22T13:59:11.000Z | 2022-02-10T08:27:25.000Z | bot/models/Sizers/DefaultSizer.py | estebanthi/BinanceTradingBotV4 | 93ccac86db9bc8612248bf5cd1bc9e359749e383 | [
"MIT"
] | null | null | null | bot/models/Sizers/DefaultSizer.py | estebanthi/BinanceTradingBotV4 | 93ccac86db9bc8612248bf5cd1bc9e359749e383 | [
"MIT"
] | 3 | 2021-11-15T18:49:20.000Z | 2022-02-06T19:46:29.000Z | from models.Sizers.Sizer import Sizer as Sizer
| 23.529412 | 70 | 0.735 | from models.Sizers.Sizer import Sizer as Sizer
import backtrader as bt
from dataclasses import dataclass
from dataclasses import field
@dataclass
class DefaultSizer(Sizer):
"""
This is the default sizer used in Engine
It's a PercentSizer, paremetered with 10%
"""
sizer: bt.Sizer = bt.sizers.Perce... | 0 | 240 | 0 | 0 | 0 | 0 | 0 | 22 | 89 |
9109dfb186363e370f7bb44dc7ef89ae43df2e8c | 15,318 | py | Python | duplicity_backup_s3/duplicity_s3.py | jberends/duplicity_backup | 99e27060b20dabc0ff8ed416b6a4aeac98143cae | [
"Apache-2.0"
] | 2 | 2019-12-16T10:42:16.000Z | 2021-02-24T11:43:17.000Z | duplicity_backup_s3/duplicity_s3.py | jberends/duplicity_backup | 99e27060b20dabc0ff8ed416b6a4aeac98143cae | [
"Apache-2.0"
] | null | null | null | duplicity_backup_s3/duplicity_s3.py | jberends/duplicity_backup | 99e27060b20dabc0ff8ed416b6a4aeac98143cae | [
"Apache-2.0"
] | 1 | 2020-06-30T22:57:06.000Z | 2020-06-30T22:57:06.000Z | # -*- coding: utf-8 -*-
# /bin/duplicity
# -v3
# --dry-run
# --full-if-older-than 7D
# --s3-use-new-style
# --s3-european-buckets
# --no-encryption
# --exclude-device-files
# --include=/opt/ke-chain/*-media
# --include=/opt/ke-chain/var/archives
# --exclude=**
# /opt/ke-chain/ # src
# s3+htt... | 36.298578 | 94 | 0.591983 | # -*- coding: utf-8 -*-
import os
import subprocess
import sys
import warnings
from pathlib import Path
from pprint import pprint
from typing import Dict, List
import yaml
from envparse import env
from duplicity_backup_s3.defaults import (
FULL_IF_OLDER_THAN,
DUPLICITY_BACKUP_ARGS,
DUPLICITY_VERBOSITY,
... | 3 | 1,163 | 0 | 13,289 | 0 | 0 | 0 | 228 | 267 |
f056a0f67ba422fadd94ee2cfdb8509a75106571 | 13,136 | py | Python | local/ctm2tg.py | larissadias/ufpalign | 3bf60dc53ee2bb5d9479c35e9b85d32fdb7ef37c | [
"MIT"
] | null | null | null | local/ctm2tg.py | larissadias/ufpalign | 3bf60dc53ee2bb5d9479c35e9b85d32fdb7ef37c | [
"MIT"
] | null | null | null | local/ctm2tg.py | larissadias/ufpalign | 3bf60dc53ee2bb5d9479c35e9b85d32fdb7ef37c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# vim: set fileencoding=utf-8
#
# ctm2tg: a script to convert CTM files from Kaldi aligner
# to Praat's TextGrid format
#
# Grupo FalaBrasil (2021)
# Universidade Federal do Par
#
# author: apr 2019
# cassio batista - https://cassota.gitlab.io
# updated on apr 2021
impor... | 39.927052 | 96 | 0.505557 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# vim: set fileencoding=utf-8
#
# ctm2tg: a script to convert CTM files from Kaldi aligner
# to Praat's TextGrid format
#
# Grupo FalaBrasil (2021)
# Universidade Federal do Pará
#
# author: apr 2019
# cassio batista - https://cassota.gitlab.io
# updated on apr 2021
impo... | 2 | 0 | 0 | 4,842 | 0 | 779 | 0 | -20 | 113 |
7c9a189f6845c57ce4d443e83d26c11548702e55 | 43,875 | py | Python | src/1. Extraction of AEs and Causal Relations/run_extraction.py | nju-websoft/GeoCEQA | f2d6f27b750289bda646f1cd9b47cb78d70dc454 | [
"Apache-2.0"
] | null | null | null | src/1. Extraction of AEs and Causal Relations/run_extraction.py | nju-websoft/GeoCEQA | f2d6f27b750289bda646f1cd9b47cb78d70dc454 | [
"Apache-2.0"
] | null | null | null | src/1. Extraction of AEs and Causal Relations/run_extraction.py | nju-websoft/GeoCEQA | f2d6f27b750289bda646f1cd9b47cb78d70dc454 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | 52.797834 | 184 | 0.594097 | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | 0 | 0 | 0 | 0 | 0 | 34,345 | 0 | 153 | 256 |
6ff96ce3b20610b463716eecc9e77ac66bf76f24 | 31,014 | py | Python | main.py | LamannaLeonardo/OLAM | 7a6611912ebb40d39a934dd454efec4cbb7913d3 | [
"MIT"
] | null | null | null | main.py | LamannaLeonardo/OLAM | 7a6611912ebb40d39a934dd454efec4cbb7913d3 | [
"MIT"
] | null | null | null | main.py | LamannaLeonardo/OLAM | 7a6611912ebb40d39a934dd454efec4cbb7913d3 | [
"MIT"
] | null | null | null | # Copyright (c) 2022, Leonardo Lamanna
# All rights reserved.
# This source code is licensed under the MIT-style license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os.path
import sys
import Configuration
from Util.Simulator import Simulator
from Util import preproces... | 39.307985 | 148 | 0.60376 | # Copyright (c) 2022, Leonardo Lamanna
# All rights reserved.
# This source code is licensed under the MIT-style license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os.path
import sys
import Configuration
from Util.Simulator import Simulator
from Util import preproces... | 0 | 0 | 0 | 0 | 0 | 5,402 | 0 | 5 | 114 |
599cdc16b682170398cd37bb569b11b7659c4a44 | 3,068 | py | Python | tool/bone_segementation_use_stacking/tool/recoverImage.py | YangXiaoo/NoteBook | 37056acad7a05b876832f72ac34d3d1a41e0dd22 | [
"CNRI-Python",
"RSA-MD",
"CECILL-B"
] | 58 | 2019-03-03T04:42:23.000Z | 2022-01-13T04:36:31.000Z | tool/bone_segementation_use_stacking/tool/recoverImage.py | YangXiaoo/NoteBook | 37056acad7a05b876832f72ac34d3d1a41e0dd22 | [
"CNRI-Python",
"RSA-MD",
"CECILL-B"
] | null | null | null | tool/bone_segementation_use_stacking/tool/recoverImage.py | YangXiaoo/NoteBook | 37056acad7a05b876832f72ac34d3d1a41e0dd22 | [
"CNRI-Python",
"RSA-MD",
"CECILL-B"
] | 28 | 2019-08-11T01:25:00.000Z | 2021-08-22T06:46:06.000Z | # coding:utf-8
# 2019-4-20
"""
"""
import numpy as np
import os
import cv2
from tool import util
from tool import api
def getImageDict(originalFiles, binaryFiles):
"""
@param originalFiles
@param binaryFiles
@returns dict {"originalPicName":"binaryImagePath"}
"""
ret = {}
for f in originalFiles:
orig... | 26.912281 | 89 | 0.750652 | # coding:utf-8
# 2019-4-20
"""根据二值分割将原图进行分割
解决原因：对图像进行分割前对原图进行了增强处理，进行分割时是对增强图片进行分割，而不是基于原图分割。
现在根据对增强图片进行分割保存的二值图对原图进行分割，保存原图的分割图。
"""
import numpy as np
import os
import cv2
from tool import util
from tool import api
def getImageDict(originalFiles, binaryFiles):
"""获得原图对应的分割图路径
@param originalFiles 原图文件路径列表
... | 897 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
fcd4bcd7d62ba933cf27c34fc02e18371a6b10a6 | 6,485 | py | Python | tools/make_shard_list.py | pengchengguo/wenet | 940dc164e5cfa9b8c0131688f0f9457af9563892 | [
"Apache-2.0"
] | 1,166 | 2021-05-19T03:09:09.000Z | 2022-03-31T16:48:42.000Z | tools/make_shard_list.py | pengchengguo/wenet | 940dc164e5cfa9b8c0131688f0f9457af9563892 | [
"Apache-2.0"
] | 282 | 2021-05-19T11:12:31.000Z | 2022-03-31T11:41:17.000Z | tools/make_shard_list.py | pengchengguo/wenet | 940dc164e5cfa9b8c0131688f0f9457af9563892 | [
"Apache-2.0"
] | 360 | 2021-05-19T06:57:34.000Z | 2022-03-31T03:24:35.000Z | #!/usr/bin/env python3
# Copyright (c) 2021 Mobvoi Inc. (authors: Binbin Zhang)
#
# 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 ... | 35.631868 | 79 | 0.536469 | #!/usr/bin/env python3
# Copyright (c) 2021 Mobvoi Inc. (authors: Binbin Zhang)
#
# 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 ... | 0 | 0 | 0 | 0 | 0 | 2,435 | 0 | -7 | 133 |
2c881f8492460e7a69dabd34001413e474f211c5 | 377 | py | Python | visualize.py | shi27feng/2D.pose.made.easy | f63040acf98d4732325345ebf28264edcce2e68f | [
"Apache-2.0"
] | null | null | null | visualize.py | shi27feng/2D.pose.made.easy | f63040acf98d4732325345ebf28264edcce2e68f | [
"Apache-2.0"
] | null | null | null | visualize.py | shi27feng/2D.pose.made.easy | f63040acf98d4732325345ebf28264edcce2e68f | [
"Apache-2.0"
] | null | null | null | from models import ResNet_Spec, ResNet
import hiddenlayer as hl
import torch
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
print("device = ", device)
model = ResNet(ResNet_Spec[18])
hl_graph = hl.build_graph(model, torch.zeros([1, 3, 512, 512]).to(device=device))
hl_graph.theme = hl.graph.TH... | 31.416667 | 81 | 0.732095 | from models import ResNet_Spec, ResNet
import hiddenlayer as hl
import torch
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
print("device = ", device)
model = ResNet(ResNet_Spec[18])
hl_graph = hl.build_graph(model, torch.zeros([1, 3, 512, 512]).to(device=device))
hl_graph.theme = hl.graph.TH... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8be0862f6f4ebd2a04243992c60d301289353b80 | 3,710 | py | Python | tutorial/tutorial_08/graph.py | ekwan/cctk | 85cb8d0b714a80e8e353987dc24006695f1d0532 | [
"Apache-2.0"
] | 10 | 2020-01-16T15:26:57.000Z | 2022-01-15T23:12:00.000Z | tutorial/tutorial_08/graph.py | ekwan/cctk | 85cb8d0b714a80e8e353987dc24006695f1d0532 | [
"Apache-2.0"
] | 2 | 2020-05-27T21:04:36.000Z | 2020-09-26T20:49:53.000Z | tutorial/tutorial_08/graph.py | ekwan/cctk | 85cb8d0b714a80e8e353987dc24006695f1d0532 | [
"Apache-2.0"
] | 2 | 2020-09-24T18:44:18.000Z | 2021-08-05T20:35:51.000Z | import sys, re, glob
import numpy as np
import matplotlib.pyplot as plt
from cctk import GaussianFile
import cctk.parse_gaussian as parse
#### Usage: ``python analyze_dipole.py "path/to/output/*.out"``
#### NOTE: It's crucial to wrap the wildcard-containing path in quotes!
#### NOTE: This file will reject any file t... | 35.333333 | 99 | 0.659569 | import sys, re, glob
import numpy as np
import matplotlib.pyplot as plt
from cctk import GaussianFile, Molecule
import cctk.parse_gaussian as parse
#### Usage: ``python analyze_dipole.py "path/to/output/*.out"``
#### NOTE: It's crucial to wrap the wildcard-containing path in quotes!
#### NOTE: This file will reject ... | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 |
3061a9163cd3bff862fc27f797d128c0d2a59c1d | 2,325 | py | Python | pypcmgr/actions.py | cdkini/pypcmgr | 8cd89a75f5ef136842930c1b95ee5b531a44b4f3 | [
"CNRI-Python"
] | null | null | null | pypcmgr/actions.py | cdkini/pypcmgr | 8cd89a75f5ef136842930c1b95ee5b531a44b4f3 | [
"CNRI-Python"
] | null | null | null | pypcmgr/actions.py | cdkini/pypcmgr | 8cd89a75f5ef136842930c1b95ee5b531a44b4f3 | [
"CNRI-Python"
] | null | null | null | import argparse
import os
def run(path, flags):
"""TODO: Add method description!
Args:
path (str):
flags (argparse.Namespace):
"""
if flags.config and flags.default:
pass # Should raise error that flags cannot be both used
elif flags.config:
config(path, flags)
... | 25.271739 | 85 | 0.597849 | import argparse
import os
def run(path, flags):
"""TODO: Add method description!
Args:
path (str):
flags (argparse.Namespace):
"""
if flags.config and flags.default:
pass # Should raise error that flags cannot be both used
elif flags.config:
config(path, flags)
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3582d2ddca73e27cfad1dd134b6aaf3a3b3eb908 | 959 | py | Python | pyrobud/modules/manager.py | fakegit/pyrobud | 9626d534dc65b1cb4f93590a49c606c93b82a4e1 | [
"MIT"
] | 2 | 2019-10-24T03:37:33.000Z | 2019-12-23T02:09:10.000Z | pyrobud/modules/manager.py | fakegit/pyrobud | 9626d534dc65b1cb4f93590a49c606c93b82a4e1 | [
"MIT"
] | 15 | 2021-12-22T13:53:46.000Z | 2022-03-31T17:44:03.000Z | pyrobud/modules/manager.py | fakegit/pyrobud | 9626d534dc65b1cb4f93590a49c606c93b82a4e1 | [
"MIT"
] | 1 | 2020-05-30T20:22:32.000Z | 2020-05-30T20:22:32.000Z |
from .. import command, module, util
| 29.060606 | 80 | 0.646507 | from typing import ClassVar
from .. import command, module, util
class ManagerModule(module.Module):
name: ClassVar[str] = "Manager"
@command.desc("Reload all modules")
@command.alias("ra", "reload", "r")
async def cmd_reloadall(self, ctx: command.Context) -> str:
before = util.time.usec()
... | 0 | 792 | 0 | 77 | 0 | 0 | 0 | 6 | 45 |
c927e21e35aedbb7ae7041ddded2e387b6cb06a9 | 1,004 | py | Python | linked_list.py | dvtate/single-file-programs | 1c54833ebee5fa20d04b1d36c59fb553de985812 | [
"MIT"
] | 2 | 2017-09-04T05:11:53.000Z | 2020-01-18T22:31:25.000Z | linked_list.py | dvtate/single-file-programs | 1c54833ebee5fa20d04b1d36c59fb553de985812 | [
"MIT"
] | null | null | null | linked_list.py | dvtate/single-file-programs | 1c54833ebee5fa20d04b1d36c59fb553de985812 | [
"MIT"
] | null | null | null |
first = Node();
first.data = 5;
ll = LinkedList();
ll.add(first);
blah = Node();
ll.add(blah);
print(first);
| 15.936508 | 72 | 0.606574 | class Node(object):
def __init__(self):
self.data = None;
self.next = None;
self.prev = None;
def __init__(self):
self.data = None;
self.next = None;
self.prev = None;
def __str__(self):
return str(self.data);
class LinkedList(object):
def __init__(self):
self.head = None;
self.tail = ... | 0 | 0 | 0 | 834 | 0 | 0 | 0 | 0 | 47 |
1ce14cc699db08a51a22a5f7f83f6e592baa5e26 | 1,912 | py | Python | notebooks/EDA/S04-customers.py | c74p/Capstone-SalesForecasting | 9c7950dc2fe839a04a0521f7da1ed3936496cd94 | [
"MIT"
] | null | null | null | notebooks/EDA/S04-customers.py | c74p/Capstone-SalesForecasting | 9c7950dc2fe839a04a0521f7da1ed3936496cd94 | [
"MIT"
] | 11 | 2020-03-24T16:52:00.000Z | 2022-03-11T23:42:54.000Z | notebooks/EDA/S04-customers.py | c74p/Capstone-SalesForecasting | 9c7950dc2fe839a04a0521f7da1ed3936496cd94 | [
"MIT"
] | null | null | null | import cauldron as cd
import matplotlib.pyplot as plt
plt.rcParams.update({'figure.max_open_warning': 0}) # NOQA
import seaborn as sns
sns.set() # NOQA, need this for styling
import sys # NOQA
sys.path.append('../../src/data')
# Import df from shared Cauldron memory
df = cd.shared.df
cd.display.markdown(
"""
... | 37.490196 | 79 | 0.730126 | import cauldron as cd
import matplotlib
import matplotlib.pyplot as plt
plt.rcParams.update({'figure.max_open_warning': 0}) # NOQA
import seaborn as sns
sns.set() # NOQA, need this for styling
import pandas as pd
import os, sys # NOQA
sys.path.append('../../src/data')
import make_dataset # NOQA, need the lines above t... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -4 | 120 |
07318a8bfbf89261343f3bb547e68839d822444a | 7,566 | py | Python | src/primaires/pnj/prototype.py | vlegoff/tsunami | 36b3b974f6eefbf15cd5d5f099fc14630e66570b | [
"BSD-3-Clause"
] | 14 | 2015-08-21T19:15:21.000Z | 2017-11-26T13:59:17.000Z | src/primaires/pnj/prototype.py | vincent-lg/tsunami | 36b3b974f6eefbf15cd5d5f099fc14630e66570b | [
"BSD-3-Clause"
] | 20 | 2015-09-29T20:50:45.000Z | 2018-06-21T12:58:30.000Z | src/primaires/pnj/prototype.py | vlegoff/tsunami | 36b3b974f6eefbf15cd5d5f099fc14630e66570b | [
"BSD-3-Clause"
] | 3 | 2015-05-02T19:42:03.000Z | 2018-09-06T10:55:00.000Z | # -*-coding:Utf-8 -*
# -*-coding:Utf-8 -*
# Copyright (c) 2010-2017 LE GOFF Vincent
# 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 copy... | 32.333333 | 79 | 0.604811 | # -*-coding:Utf-8 -*
# -*-coding:Utf-8 -*
# Copyright (c) 2010-2017 LE GOFF Vincent
# 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 copy... | 24 | 1,720 | 0 | 3,859 | 0 | 0 | 0 | 85 | 135 |
86a7d29632c14f676a212dcc633ea550f493745f | 5,223 | py | Python | kolibri/utils/sanity_checks.py | priyanka-choubey/kolibri | 4070dc158634ab47c6e127768f0aed7548c0a182 | [
"MIT"
] | 1 | 2020-03-30T05:06:59.000Z | 2020-03-30T05:06:59.000Z | kolibri/utils/sanity_checks.py | priyanka-choubey/kolibri | 4070dc158634ab47c6e127768f0aed7548c0a182 | [
"MIT"
] | null | null | null | kolibri/utils/sanity_checks.py | priyanka-choubey/kolibri | 4070dc158634ab47c6e127768f0aed7548c0a182 | [
"MIT"
] | null | null | null | import logging
import os
import shutil
import sys
import portend
from django.apps import apps
from django.core.management import call_command
from django.db.utils import OperationalError
from .conf import OPTIONS
from .server import get_status
from .server import LISTEN_ADDRESS
from .server import NotRunning
logger =... | 31.089286 | 96 | 0.651733 | import logging
import os
import shutil
import sys
import portend
from django.apps import apps
from django.core.management import call_command
from django.db.utils import OperationalError
from .conf import KOLIBRI_HOME
from .conf import OPTIONS
from .options import generate_empty_options_file
from .server import get_s... | 0 | 0 | 0 | 0 | 0 | 388 | 0 | 36 | 68 |
b9b83f9361646d2f1e2377f068bb01dec854c8ec | 540 | py | Python | mspray/apps/main/views/sensitization_visit.py | onaio/mspray | b3e0f4b5855abbf0298de6b66f2e9f472f2bf838 | [
"Apache-2.0"
] | null | null | null | mspray/apps/main/views/sensitization_visit.py | onaio/mspray | b3e0f4b5855abbf0298de6b66f2e9f472f2bf838 | [
"Apache-2.0"
] | 76 | 2018-03-15T09:37:56.000Z | 2019-05-15T12:45:51.000Z | mspray/apps/main/views/sensitization_visit.py | onaio/mspray | b3e0f4b5855abbf0298de6b66f2e9f472f2bf838 | [
"Apache-2.0"
] | 1 | 2020-10-31T07:15:22.000Z | 2020-10-31T07:15:22.000Z | # -*- coding: utf-8 -*-
"""
Sensitization Visit view.
"""
| 24.545455 | 57 | 0.748148 | # -*- coding: utf-8 -*-
"""
Sensitization Visit view.
"""
from rest_framework import status
from rest_framework.response import Response
from rest_framework.views import APIView
from mspray.apps.main.models.sensitization_visit import (
create_sensitization_visit
)
class SensitizationVisitView(APIView):
"""S... | 0 | 0 | 0 | 245 | 0 | 0 | 0 | 123 | 113 |
3f97aa9a30452a3dea5fcd037ab80832f451ff0f | 1,093 | py | Python | uninond/management/commands/export_xls.py | yeleman/uninond | 0b130e68c6a0799d896f060cfc925b467b179fe6 | [
"MIT"
] | null | null | null | uninond/management/commands/export_xls.py | yeleman/uninond | 0b130e68c6a0799d896f060cfc925b467b179fe6 | [
"MIT"
] | null | null | null | uninond/management/commands/export_xls.py | yeleman/uninond | 0b130e68c6a0799d896f060cfc925b467b179fe6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# vim: ai ts=4 sts=4 et sw=4 nu
from __future__ import (unicode_literals, absolute_import,
division, print_function)
import logging
logger = logging.getLogger(__name__)
| 26.02381 | 62 | 0.584629 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# vim: ai ts=4 sts=4 et sw=4 nu
from __future__ import (unicode_literals, absolute_import,
division, print_function)
import logging
import os
import sys
from django.core.management.base import BaseCommand
from optparse import make_option
from unin... | 0 | 0 | 0 | 682 | 0 | 0 | 0 | 34 | 135 |
c5c38ba79822c1eaf797e22ea077ac477836461b | 3,138 | py | Python | bmus_cnn.py | MedicalDataAI/LNMP | 8d22e543a26d6830de9525ebe56a47e2a08505f7 | [
"CC0-1.0"
] | 2 | 2020-08-06T09:14:23.000Z | 2020-11-11T04:43:56.000Z | bmus_cnn.py | MedicalDataAI/demoshow | 65ad65ce1551d102b4190e972235c90498a75e83 | [
"CC0-1.0"
] | null | null | null | bmus_cnn.py | MedicalDataAI/demoshow | 65ad65ce1551d102b4190e972235c90498a75e83 | [
"CC0-1.0"
] | null | null | null | from __future__ import print_function
# to filter some unnecessory warning messages
import warnings
warnings.filterwarnings("ignore", message="numpy.dtype size changed")
warnings.filterwarnings("ignore", message="numpy.ufunc size changed")
import os
if __name__ == '__main__':
img_type = "png"
root_dir = o... | 32.6875 | 140 | 0.682919 | from __future__ import print_function
# to filter some unnecessory warning messages
import warnings
warnings.filterwarnings("ignore", message="numpy.dtype size changed")
warnings.filterwarnings("ignore", message="numpy.ufunc size changed")
import os
import numpy as np
import pandas as pd
import glob
import keras
from... | 0 | 0 | 0 | 0 | 0 | 2,149 | 0 | -36 | 245 |
f7d49274054ba9648a11c608de1dd2a0fb96f79c | 649 | py | Python | example/example/urls.py | xfenix/django-media-manager | e5bf61f1c5188681dec8b8237b44b106567f8273 | [
"BSD-3-Clause"
] | 26 | 2015-01-08T03:04:35.000Z | 2021-09-09T01:31:10.000Z | example/example/urls.py | xfenix/django-media-manager | e5bf61f1c5188681dec8b8237b44b106567f8273 | [
"BSD-3-Clause"
] | 11 | 2015-03-05T11:35:47.000Z | 2021-06-10T17:38:28.000Z | example/example/urls.py | xfenix/django-media-manager | e5bf61f1c5188681dec8b8237b44b106567f8273 | [
"BSD-3-Clause"
] | 26 | 2015-02-12T14:49:31.000Z | 2019-07-29T08:30:41.000Z | from django.conf.urls import patterns, include, url
from django.conf import settings
from django.contrib import admin
from django.contrib.staticfiles.urls import staticfiles_urlpatterns
from django.conf.urls.static import static
admin.autodiscover()
urlpatterns = patterns('',
(r'^admin/filebrowser/', include('fi... | 28.217391 | 80 | 0.747304 | from django.conf.urls import patterns, include, url
from django.conf import settings
from django.contrib import admin
from django.contrib.staticfiles.urls import staticfiles_urlpatterns
from django.conf.urls.static import static
admin.autodiscover()
urlpatterns = patterns('',
(r'^admin/filebrowser/', include('fi... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e5245a361f89cd0fe366f0d5ab32f247fac0075e | 1,447 | py | Python | main.py | sanjeev309/synthetic_bbox_regression_db_tool | 73ad6efe22bba3f2ab019bd7358e4cbc23f7e9cb | [
"MIT"
] | 2 | 2019-03-01T21:13:01.000Z | 2019-03-02T14:55:57.000Z | main.py | sanjeev309/synthetic_bbox_regression_db_tool | 73ad6efe22bba3f2ab019bd7358e4cbc23f7e9cb | [
"MIT"
] | null | null | null | main.py | sanjeev309/synthetic_bbox_regression_db_tool | 73ad6efe22bba3f2ab019bd7358e4cbc23f7e9cb | [
"MIT"
] | null | null | null |
TOTAL_IMAGES = 1000
STORE_IMAGES = False
IMAGE_DIMENSION = 100
NUM_CHANNELS = 1
PADDING_MIN = 10
PADDING_MAX = 20
MIN_BOX_DIM = 40
if __name__ == "__main__":
main()
| 28.372549 | 104 | 0.609537 | import numpy as np
import cv2
TOTAL_IMAGES = 1000
STORE_IMAGES = False
IMAGE_DIMENSION = 100
NUM_CHANNELS = 1
PADDING_MIN = 10
PADDING_MAX = 20
MIN_BOX_DIM = 40
def return_random_bbox_value(start, end, num_values=4):
x, y = np.random.randint(start, end - 60, size=num_values - 2)
gap_w, gap_h = np.random.rand... | 0 | 0 | 0 | 0 | 0 | 1,197 | 0 | -14 | 90 |
bbb4b70954032901e7cffa9f9b103a77b99219f4 | 2,755 | py | Python | diff_gpmp2/robot_models/point_robot_xyh.py | mhmukadam/dgpmp2 | b55c10f2a2fcff2cbf0e3291e0fff97fefa86661 | [
"BSD-3-Clause"
] | 31 | 2020-08-12T19:07:29.000Z | 2022-02-22T10:52:53.000Z | diff_gpmp2/robot_models/point_robot_xyh.py | mhmukadam/dgpmp2 | b55c10f2a2fcff2cbf0e3291e0fff97fefa86661 | [
"BSD-3-Clause"
] | null | null | null | diff_gpmp2/robot_models/point_robot_xyh.py | mhmukadam/dgpmp2 | b55c10f2a2fcff2cbf0e3291e0fff97fefa86661 | [
"BSD-3-Clause"
] | 7 | 2020-08-14T14:41:39.000Z | 2021-11-03T08:17:09.000Z | #!/usr/bin/env python | 45.163934 | 98 | 0.684936 | #!/usr/bin/env python
import torch
from .robot_model import RobotModel
class PointRobotXYH(RobotModel):
def __init__(self, sphere_radii, use_cuda=False):
dofs = 3
nlinks = 1
wksp_dim = 2
state_dim = 6
super(PointRobotXYH, self).__init__(dofs, nlinks, wksp_dim, state_dim, sphere_radii, use_cuda)
... | 0 | 0 | 0 | 2,662 | 0 | 0 | 0 | 5 | 67 |
b28de68bf13a54604328d23c2684c9c909591a16 | 1,196 | py | Python | gui/client_gui.py | IsikcanYilmaz/kitty_surveillance | d5318ca360ae047864f33355eb7871a0381772c7 | [
"MIT"
] | null | null | null | gui/client_gui.py | IsikcanYilmaz/kitty_surveillance | d5318ca360ae047864f33355eb7871a0381772c7 | [
"MIT"
] | null | null | null | gui/client_gui.py | IsikcanYilmaz/kitty_surveillance | d5318ca360ae047864f33355eb7871a0381772c7 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
if __name__ == '__main__':
GuiThread()
| 27.181818 | 56 | 0.685619 | #!/usr/bin/python3
import sys
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtWidgets import QApplication, QWidget
from gui.button_panel import *
from gui.video_panel import *
from gui.xy_pad_panel import *
class MainWindow(QWidget):
def __init__(self, clientHandle):
super(MainWindow, self).__init... | 0 | 0 | 0 | 775 | 0 | 114 | 0 | 64 | 178 |
418aef5d322ec626b125c21a3ff5576f1b199e68 | 642 | py | Python | config.py | xxbsg/fx | 6a6d913a168bf36b773c0f1a1cd1788977d144a7 | [
"MIT"
] | null | null | null | config.py | xxbsg/fx | 6a6d913a168bf36b773c0f1a1cd1788977d144a7 | [
"MIT"
] | null | null | null | config.py | xxbsg/fx | 6a6d913a168bf36b773c0f1a1cd1788977d144a7 | [
"MIT"
] | null | null | null | #
zd={'ts':tiaoshi,'xs':xianshang} | 24.692308 | 80 | 0.738318 | # 配置
import logging
from redis import StrictRedis
class peiz(object):
DEBUG=True
SQLALCHEMY_DATABASE_URI="mysql://root:mysql@localhost:3306/f_db" #数据数据库
SQLALCHEMY_TRACK_MODIFICATIONS=False#数据数据库
#session
SESSION_TYPE='redis'#session使用redis数据库
SESSION_REDIS=StrictRedis(host='192.168.47.128... | 72 | 0 | 0 | 467 | 0 | 0 | 0 | 1 | 111 |
eb2e33642db9ae99299dc08e8b5bd204f30f55ee | 895 | py | Python | aocpo_spider/school_spider/school_spider/spiders/schoolSpider.py | CoderChen01/aocpo | 279bfae910a30be762e1954df1a53a6217a6e300 | [
"Apache-2.0"
] | 7 | 2020-02-17T12:20:26.000Z | 2021-03-15T01:02:34.000Z | aocpo_spider/school_spider/school_spider/spiders/schoolSpider.py | CoderChen01/aocpo | 279bfae910a30be762e1954df1a53a6217a6e300 | [
"Apache-2.0"
] | 3 | 2020-04-19T03:01:41.000Z | 2020-04-19T03:02:09.000Z | aocpo_spider/school_spider/school_spider/spiders/schoolSpider.py | CoderChen01/aocpo | 279bfae910a30be762e1954df1a53a6217a6e300 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
| 31.964286 | 112 | 0.620112 | # -*- coding: utf-8 -*-
import scrapy
from scrapy.http import Request
from ..items import SchoolSpiderItem
class SchoolSpider(scrapy.Spider):
name = 'schoolSpider'
allowed_domains = ['school.nihaowang.com']
start_urls = ['http://school.nihaowang.com/']
base_url = 'http://school.nihaowang.com/rank/6122... | 0 | 0 | 0 | 763 | 0 | 0 | 0 | 17 | 89 |
e88d450939e6b7166f3b60dcf021da7744757312 | 9,384 | py | Python | Metric/depth_KITTI.py | ZM-Zhou/MDE_Platform_Pytorch | d86efe061bf14a6eed3352cc45e1437e46c138b1 | [
"MIT"
] | null | null | null | Metric/depth_KITTI.py | ZM-Zhou/MDE_Platform_Pytorch | d86efe061bf14a6eed3352cc45e1437e46c138b1 | [
"MIT"
] | null | null | null | Metric/depth_KITTI.py | ZM-Zhou/MDE_Platform_Pytorch | d86efe061bf14a6eed3352cc45e1437e46c138b1 | [
"MIT"
] | null | null | null | import PIL.ImageFont as ImageFont
import matplotlib.cm as cm
import os
import sys
sys.path.append(os.getcwd())
if __name__ == "__main__":
metric = Metric()
metric.test_all()
metric.test_sample()
metric.test_choice()
# metric.test_choice(True)
| 43.646512 | 90 | 0.48945 | import numpy as np
import json
import PIL.ImageFont as ImageFont
import PIL.Image as pil
from PIL import ImageDraw
import matplotlib as mpl
import matplotlib.cm as cm
import cv2 as cv
import torch
from torch.utils.data import DataLoader
import torch.nn.functional as F
from torchvision import transforms
... | 0 | 0 | 0 | 8,594 | 0 | 0 | 0 | 124 | 372 |
8cbf74c0236bd1c2db2c14d2795bbd0ffdc6eb27 | 1,523 | py | Python | zprev versions/zfirstderivs copy1.py | lefthandedroo/Cosmodels | c355d18021467cf92546cf2fc9cb1d1abe59b8d8 | [
"MIT"
] | null | null | null | zprev versions/zfirstderivs copy1.py | lefthandedroo/Cosmodels | c355d18021467cf92546cf2fc9cb1d1abe59b8d8 | [
"MIT"
] | null | null | null | zprev versions/zfirstderivs copy1.py | lefthandedroo/Cosmodels | c355d18021467cf92546cf2fc9cb1d1abe59b8d8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Feb 15 13:23:25 2018
@author: BallBlueMeercat
"""
# Eq of state parameters for known fluids:
w_r = 1/3 # radiation
w_m = 0.0 # matter
w_de = -1.0 # cosmological constant (dark energy?)
def zfirstderivs(v, t, gamma):
"""
Takes in:
... | 29.288462 | 101 | 0.455023 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Feb 15 13:23:25 2018
@author: BallBlueMeercat
"""
# Eq of state parameters for known fluids:
w_r = 1/3 # radiation
w_m = 0.0 # matter
w_de = -1.0 # cosmological constant (dark energy?)
def zfirstderivs(v, t, gamma):
"""
Takes in:
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3b7924750952207d8c24778f9b4f9425f83aa1db | 2,326 | py | Python | test_app.py | fluffy-critter/Publ | 868c5a17c605707dde4d1a95d79405301bd12f05 | [
"MIT"
] | 6 | 2018-03-29T02:07:44.000Z | 2018-09-26T00:17:31.000Z | test_app.py | fluffy-critter/Publ | 868c5a17c605707dde4d1a95d79405301bd12f05 | [
"MIT"
] | 82 | 2018-04-01T08:53:59.000Z | 2018-09-28T23:45:05.000Z | test_app.py | fluffy-critter/Publ | 868c5a17c605707dde4d1a95d79405301bd12f05 | [
"MIT"
] | null | null | null | """ Smoke test site runner """
# pylint:disable=invalid-name
import logging
import os
try:
import authl.flask
except ImportError:
authl = None
try:
import whoosh
except ImportError:
whoosh = None
import publ
import publ.image
APP_PATH = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'test... | 28.365854 | 92 | 0.643594 | """ Smoke test site runner """
# pylint:disable=invalid-name
import logging
import os
try:
import authl.flask
except ImportError:
authl = None
try:
import whoosh
except ImportError:
whoosh = None
import flask
import publ
import publ.image
APP_PATH = os.path.join(os.path.dirname(os.path.abspath(__f... | 0 | 485 | 0 | 0 | 0 | 0 | 0 | -9 | 69 |
1c2232cc27c82751a1725348162fac071fbadfce | 2,211 | py | Python | Dia1/numpy2.py | MarcelRG/semanai | 08a1ceb9f24b361fc155bf18526325aaf6769798 | [
"MIT"
] | null | null | null | Dia1/numpy2.py | MarcelRG/semanai | 08a1ceb9f24b361fc155bf18526325aaf6769798 | [
"MIT"
] | null | null | null | Dia1/numpy2.py | MarcelRG/semanai | 08a1ceb9f24b361fc155bf18526325aaf6769798 | [
"MIT"
] | null | null | null | import streamlit as st
import numpy as np
import uber_display
from scipy import stats
"# Numpy and Pandas Tutorial"
"### Semana i 2019"
"Made in Streamlit"
if st.checkbox('Show Uber Data'):
st.subheader('Uber data data')
uber_display.main()
"""# Numpy exercises """
"- **Show numpy version**"
version = np._... | 21.259615 | 161 | 0.615559 | import streamlit as st
import pandas as pd
import numpy as np
import time
import uber_display
from scipy import stats
"# Numpy and Pandas Tutorial"
"### Semana i 2019"
"Made in Streamlit"
if st.checkbox('Show Uber Data'):
st.subheader('Uber data data')
uber_display.main()
"""# Numpy exercises """
"- **Show... | 0 | 0 | 0 | 0 | 0 | 167 | 0 | -12 | 66 |
4e1dc5685890c3e906cc8015ffc62bdf8b62835b | 622 | py | Python | backend/api/settings.py | mariaozamiz/hacking-for-humanity | e989a504f63e235edd343146b132f6cae277dd40 | [
"MIT"
] | 3 | 2020-11-21T19:57:27.000Z | 2021-11-04T20:30:45.000Z | backend/api/settings.py | mariaozamiz/hacking-for-humanity | e989a504f63e235edd343146b132f6cae277dd40 | [
"MIT"
] | null | null | null | backend/api/settings.py | mariaozamiz/hacking-for-humanity | e989a504f63e235edd343146b132f6cae277dd40 | [
"MIT"
] | 2 | 2020-11-21T19:57:32.000Z | 2020-11-26T21:27:02.000Z | from secrets import token_urlsafe
from starlette.config import Config
# Config will be read from environment variables and/or ".env" files.
from starlette.datastructures import Secret
config = Config(".env")
DEBUG = config("DEBUG", cast=bool, default=False)
TESTING = config("TESTING", cast=bool, default=False)
HTTP... | 36.588235 | 69 | 0.778135 | from secrets import token_urlsafe
from starlette.config import Config
# Config will be read from environment variables and/or ".env" files.
from starlette.datastructures import Secret
config = Config(".env")
DEBUG = config("DEBUG", cast=bool, default=False)
TESTING = config("TESTING", cast=bool, default=False)
HTTP... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d4ee721755f85bc65664f17c0ca1459716613096 | 5,649 | py | Python | task_inventory/order_1_to_30/order_30_crawl_all_cainiao_stations.py | flyingSprite/spinelle | 57834368abb5fb4eb73a8fb29226a30014254e40 | [
"MIT"
] | 1 | 2016-07-22T01:58:53.000Z | 2016-07-22T01:58:53.000Z | task_inventory/order_1_to_30/order_30_crawl_all_cainiao_stations.py | flyingSprite/spinelle | 57834368abb5fb4eb73a8fb29226a30014254e40 | [
"MIT"
] | 5 | 2016-07-26T02:02:47.000Z | 2018-05-16T08:08:42.000Z | task_inventory/order_1_to_30/order_30_crawl_all_cainiao_stations.py | flyingSprite/spinelle | 57834368abb5fb4eb73a8fb29226a30014254e40 | [
"MIT"
] | null | null | null |
"""Order 30: Crawl all cainiao stations
from url 'https://cart.taobao.com/cart.htm?spm=875.7931836%2FB.a2226mz.11.67fc5d461PCKtS&from=btop'
"""
from faker import Faker
# DesiredCapabilities
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
dcap = dict(DesiredCapabilities.PHANTOMJS)
# USE... | 35.980892 | 112 | 0.654452 |
"""Order 30: Crawl all cainiao stations
from url 'https://cart.taobao.com/cart.htm?spm=875.7931836%2FB.a2226mz.11.67fc5d461PCKtS&from=btop'
"""
import time
from faker import Faker
from selenium import webdriver
from selenium.common.exceptions import NoSuchElementException
from scrapy import Selector
from scrapy.http ... | 195 | 0 | 0 | 4,016 | 0 | 533 | 0 | 62 | 269 |
91c161901c0ee4fd87a52bb4a82a638c8c8e862c | 2,100 | py | Python | autostart/state.py | allenx5612/dwm | 84070c80a5614a952660ecdf538839aa2bca876a | [
"MIT"
] | null | null | null | autostart/state.py | allenx5612/dwm | 84070c80a5614a952660ecdf538839aa2bca876a | [
"MIT"
] | null | null | null | autostart/state.py | allenx5612/dwm | 84070c80a5614a952660ecdf538839aa2bca876a | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# -*- coding! utf-8 -*-
import os
if __name__ == '__main__':
bat_sign = []
while True:
os.system('xsetroot -name "{}"'.format(sys_state()))
| 26.582278 | 75 | 0.545238 | #!/usr/bin/python3
# -*- coding! utf-8 -*-
import os
import time
from subprocess import Popen, PIPE
from datetime import datetime
import psutil
def sys_state():
state = ''
# net speed
s1 = psutil.net_io_counters()
time.sleep(1)
s2 = psutil.net_io_counters()
down_speed = (s2.bytes_recv - s1.... | 63 | 0 | 0 | 0 | 0 | 1,784 | 0 | 3 | 111 |
ae01eec9c4809cbadc3a6cd6ce7ff66a402049aa | 2,045 | py | Python | datetime_drill.py | gcguevara/file_transfer_app | a2401f6aa9915d22242844c926e79ff7743766bf | [
"MIT"
] | null | null | null | datetime_drill.py | gcguevara/file_transfer_app | a2401f6aa9915d22242844c926e79ff7743766bf | [
"MIT"
] | null | null | null | datetime_drill.py | gcguevara/file_transfer_app | a2401f6aa9915d22242844c926e79ff7743766bf | [
"MIT"
] | null | null | null | """ Python Workplace Simulation
Author: Garrett Guevara
Written/Tested in Python Version 3.5.2
Task: Your company is headquartered in Portland, OR.
They've opened two new branches in NYC and London. They
ask that you create a program that tells if the branches
are open or closed based on the current time at HQ.
All b... | 29.637681 | 80 | 0.670905 | """ Python Workplace Simulation
Author: Garrett Guevara
Written/Tested in Python Version 3.5.2
Task: Your company is headquartered in Portland, OR.
They've opened two new branches in NYC and London. They
ask that you create a program that tells if the branches
are open or closed based on the current time at HQ.
All b... | 0 | 0 | 0 | 1,185 | 0 | 0 | 0 | 0 | 23 |
d833f4e5a2be06570bada60510fe057de60e5e92 | 189 | py | Python | reddit_detective/analytics/__init__.py | LaTueur/reddit-detective | 09a3c9b31e2ff572607d616906560d06bb22407c | [
"MIT"
] | 173 | 2020-11-07T14:07:28.000Z | 2022-03-16T01:58:11.000Z | reddit_detective/analytics/__init__.py | LaTueur/reddit-detective | 09a3c9b31e2ff572607d616906560d06bb22407c | [
"MIT"
] | 23 | 2020-11-09T20:21:00.000Z | 2021-12-12T11:23:28.000Z | reddit_detective/analytics/__init__.py | LaTueur/reddit-detective | 09a3c9b31e2ff572607d616906560d06bb22407c | [
"MIT"
] | 10 | 2020-11-09T17:31:31.000Z | 2021-12-11T17:15:20.000Z | """
reddit_detective.analytics provides basic metrics for a given Node.
For more complex stuff, use Neo4j GDSC or this package:
https://github.com/neo4j-graph-analytics/networkx-neo4j
"""
| 27 | 67 | 0.783069 | """
reddit_detective.analytics provides basic metrics for a given Node.
For more complex stuff, use Neo4j GDSC or this package:
https://github.com/neo4j-graph-analytics/networkx-neo4j
"""
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2466eaa3c0810d7e8a2d36e553005e35ebe8f1ce | 5,772 | py | Python | src/nap/http/__init__.py | timgates42/django-nap | 34a2a3f9a194457ea5391b62d49f8ee975bc5aeb | [
"BSD-3-Clause"
] | 114 | 2015-01-15T23:03:38.000Z | 2021-11-02T07:58:08.000Z | src/nap/http/__init__.py | timgates42/django-nap | 34a2a3f9a194457ea5391b62d49f8ee975bc5aeb | [
"BSD-3-Clause"
] | 23 | 2015-01-08T00:37:24.000Z | 2021-02-06T09:30:15.000Z | src/nap/http/__init__.py | timgates42/django-nap | 34a2a3f9a194457ea5391b62d49f8ee975bc5aeb | [
"BSD-3-Clause"
] | 19 | 2015-01-13T17:19:50.000Z | 2020-03-09T11:02:38.000Z |
import http.client
import re
from collections import OrderedDict
'''Add some missing HttpResponse sub-classes'''
STATUS_CODES = list(http.client.responses.items()) + [
(308, 'PERMANENT REDIRECT'),
(427, 'BAD GEOLOCATION'),
]
STATUS_CODES = tuple(sorted(STATUS_CODES))
STATUS = OrderedDict(STATUS_CODES)
# Se... | 23.274194 | 75 | 0.775121 |
import http.client
import re
from collections import OrderedDict
from urllib.parse import urlparse
from django.core.exceptions import SuspiciousOperation
from django.http import HttpResponse, JsonResponse # NOQA
from django.utils.encoding import iri_to_uri
'''Add some missing HttpResponse sub-classes'''
STATUS_CO... | 0 | 0 | 0 | 3,818 | 0 | 0 | 0 | 97 | 1,154 |
07afd9d48eb248b3ec3e9a2ac5afeb4f75680f0a | 12,158 | py | Python | azure/Kqlmagic/draft_client.py | ForrestTrepte/jupyter-Kqlmagic | 3dec41e7eb44d43bad30aca64d72144895322188 | [
"MIT"
] | null | null | null | azure/Kqlmagic/draft_client.py | ForrestTrepte/jupyter-Kqlmagic | 3dec41e7eb44d43bad30aca64d72144895322188 | [
"MIT"
] | null | null | null | azure/Kqlmagic/draft_client.py | ForrestTrepte/jupyter-Kqlmagic | 3dec41e7eb44d43bad30aca64d72144895322188 | [
"MIT"
] | null | null | null | # -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
# from .m... | 42.659649 | 178 | 0.639743 | # -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
from typi... | 0 | 53 | 0 | 11,301 | 0 | 0 | 0 | 169 | 268 |
bc106cfa48da942fe83cb98715ecf3627c98e0aa | 698 | py | Python | Coursera/Python for Everybody Specialization/Mixed courses scripts/Scraping Numbers from HTML using BeautifulSoup.py | ejgarcia1991/Courses-and-other-non-professional-projects | 94794dd1d6cf626de174330311e3fde4d10cd460 | [
"MIT"
] | 1 | 2021-02-19T22:33:55.000Z | 2021-02-19T22:33:55.000Z | Coursera/Python for Everybody Specialization/Mixed courses scripts/Scraping Numbers from HTML using BeautifulSoup.py | ejgarcia1991/Courses-and-other-non-professional-projects | 94794dd1d6cf626de174330311e3fde4d10cd460 | [
"MIT"
] | null | null | null | Coursera/Python for Everybody Specialization/Mixed courses scripts/Scraping Numbers from HTML using BeautifulSoup.py | ejgarcia1991/Courses-and-other-non-professional-projects | 94794dd1d6cf626de174330311e3fde4d10cd460 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Wed Jul 8 16:20:20 2020
@author: Eilder Jorge
"""
# To run this, download the BeautifulSoup zip file
# http://www.py4e.com/code3/bs4.zip
# and unzip it in the same directory as this file
from urllib.request import urlopen
from bs4 import BeautifulSoup
import ssl
# Ignore SSL ... | 22.516129 | 58 | 0.724928 | # -*- coding: utf-8 -*-
"""
Created on Wed Jul 8 16:20:20 2020
@author: Eilder Jorge
"""
# To run this, download the BeautifulSoup zip file
# http://www.py4e.com/code3/bs4.zip
# and unzip it in the same directory as this file
from urllib.request import urlopen
from bs4 import BeautifulSoup
import ssl
# Ignore SSL ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e2e1c42a484a237c1013c9ba7b037a9d1edbc9a9 | 3,673 | py | Python | supermariobros/train.py | iamslash/examplesofml | 524b9daa31f81f35226d85737e15b62d6813a68c | [
"MIT"
] | null | null | null | supermariobros/train.py | iamslash/examplesofml | 524b9daa31f81f35226d85737e15b62d6813a68c | [
"MIT"
] | null | null | null | supermariobros/train.py | iamslash/examplesofml | 524b9daa31f81f35226d85737e15b62d6813a68c | [
"MIT"
] | null | null | null | import typing
from gym_super_mario_bros import make
from gym_super_mario_bros.actions import SIMPLE_MOVEMENT
from nes_py.wrappers import BinarySpaceToDiscreteSpaceEnv
Action = typing.Sequence[str]
#RGB = typing.Tuple[int, int, int]
#Screen = typing.Tuple[(RGB,) * 256]
#State = typing.Tuple[(Screen,) * 240]
RGB = typi... | 31.393162 | 89 | 0.620746 | import random
import typing
from gym_super_mario_bros import make
from gym_super_mario_bros.actions import SIMPLE_MOVEMENT
from keras.layers import Dense
from keras.optimizers import Adam
from keras.models import Sequential
from nes_py.wrappers import BinarySpaceToDiscreteSpaceEnv
from numpy import argmax, float32, re... | 0 | 0 | 0 | 1,837 | 0 | 103 | 0 | 91 | 222 |
0efaaa5c41af28e06aa9ef47e8193cf2105384cd | 403 | py | Python | inventory/migrations/0011_remove_inventory_inventory_str.py | nathandarnell/sal | 464414a2666e39bdf5b4b0033a84d5129c93c053 | [
"Apache-2.0"
] | 215 | 2015-05-04T16:57:56.000Z | 2022-03-07T12:58:12.000Z | inventory/migrations/0011_remove_inventory_inventory_str.py | nathandarnell/sal | 464414a2666e39bdf5b4b0033a84d5129c93c053 | [
"Apache-2.0"
] | 243 | 2015-07-04T18:10:56.000Z | 2022-02-27T18:52:40.000Z | inventory/migrations/0011_remove_inventory_inventory_str.py | nathandarnell/sal | 464414a2666e39bdf5b4b0033a84d5129c93c053 | [
"Apache-2.0"
] | 90 | 2015-06-29T19:26:58.000Z | 2022-02-17T19:03:00.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.10 on 2018-11-11 20:58
from __future__ import unicode_literals
| 20.15 | 49 | 0.62531 | # -*- coding: utf-8 -*-
# Generated by Django 1.10 on 2018-11-11 20:58
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('inventory', '0010_auto_20180911_1154'),
]
operations = [
migrations.RemoveField(
... | 0 | 0 | 0 | 234 | 0 | 0 | 0 | 11 | 46 |
c02aa2011a5ddf1c1f3331a1780e082ab985421f | 1,628 | py | Python | sneakers/tests/test_channels/test_twitter.py | michalkoczwara/sneaky-creeper | b398af8701d51b8b3a4baf37cdaa16de3d3649d1 | [
"MIT"
] | 1 | 2018-01-25T01:49:05.000Z | 2018-01-25T01:49:05.000Z | sneakers/tests/test_channels/test_twitter.py | michalkoczwara/sneaky-creeper | b398af8701d51b8b3a4baf37cdaa16de3d3649d1 | [
"MIT"
] | null | null | null | sneakers/tests/test_channels/test_twitter.py | michalkoczwara/sneaky-creeper | b398af8701d51b8b3a4baf37cdaa16de3d3649d1 | [
"MIT"
] | null | null | null | import os
import sneakers
basePath = os.path.dirname(os.path.abspath(sneakers.__file__))
| 29.071429 | 83 | 0.625921 | import unittest
import json
import random
import string
import os
from unittest.case import SkipTest
import twython
from sneakers.channels import twitter
import sneakers
basePath = os.path.dirname(os.path.abspath(sneakers.__file__))
class TwitterTest(unittest.TestCase):
def setUp(self):
configPath = os... | 0 | 0 | 0 | 1,370 | 0 | 0 | 0 | -10 | 179 |
810d4af35c3b44e3232d6b661d83ca36e5727414 | 8,081 | py | Python | app/api/crypto_api.py | 1c3be4r/Apfell | 3d577283cb0cb1ebb1ad75cd827949844e148fe4 | [
"BSD-3-Clause"
] | 1 | 2019-06-14T06:43:45.000Z | 2019-06-14T06:43:45.000Z | app/api/crypto_api.py | 1c3be4r/Apfell | 3d577283cb0cb1ebb1ad75cd827949844e148fe4 | [
"BSD-3-Clause"
] | null | null | null | app/api/crypto_api.py | 1c3be4r/Apfell | 3d577283cb0cb1ebb1ad75cd827949844e148fe4 | [
"BSD-3-Clause"
] | null | null | null |
# this is an unprotected API so that agents and c2 profiles can hit this when staging
# this is an unprotected API so that agents and c2 profiles can hit this when staging
| 53.516556 | 114 | 0.656973 | from app import apfell, db_objects
from sanic.response import raw, json
from app.database_models.model import StagingInfo
import base64
import app.crypto as crypt
import json as js
from app.api.callback_api import create_callback_func
import app.database_models.model as db_model
# this is an unprotected API so that a... | 0 | 7,558 | 0 | 0 | 0 | 0 | 0 | 104 | 243 |
514c69afe2edc3cffb6a6911c37fcef23eae7fde | 627 | py | Python | bin/index.py | gelin/geberdur.ru | 740a6f8c70e6c1e3152da11686290fd512ec52fa | [
"MIT"
] | null | null | null | bin/index.py | gelin/geberdur.ru | 740a6f8c70e6c1e3152da11686290fd512ec52fa | [
"MIT"
] | null | null | null | bin/index.py | gelin/geberdur.ru | 740a6f8c70e6c1e3152da11686290fd512ec52fa | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
Renders index.html
"""
if __name__ == '__main__':
main()
| 25.08 | 63 | 0.626794 | #!/usr/bin/env python3
"""
Renders index.html
"""
from mako.lookup import TemplateLookup
from pypugjs.ext.mako import preprocessor as pug_preprocessor
from libtales import Tales
def main():
print('Building index.html')
with open('build/index.html', 'wt') as htmlfile:
lookup = TemplateLookup(director... | 0 | 0 | 0 | 0 | 0 | 383 | 0 | 62 | 90 |
b2a7f63d3d92b43119289944f9e9c1c0e9b77ba5 | 183 | py | Python | kitesettings.py | vishalr4202/ZerodhaCode | bd75a49525a66d2640a5dc40c708484b66ce14b5 | [
"MIT"
] | null | null | null | kitesettings.py | vishalr4202/ZerodhaCode | bd75a49525a66d2640a5dc40c708484b66ce14b5 | [
"MIT"
] | null | null | null | kitesettings.py | vishalr4202/ZerodhaCode | bd75a49525a66d2640a5dc40c708484b66ce14b5 | [
"MIT"
] | 1 | 2022-03-02T00:32:37.000Z | 2022-03-02T00:32:37.000Z |
API_KEY = "2nqrb7e20f9gy2mp"
api_secret = "24hppoib99gudt5t4glq7yw5m9dr29ax"
# ====================================================
access_token = "GSzV0EA2hdw0ptoCqwz2Cn3Qpz7kBlRI"
| 30.5 | 54 | 0.595628 |
API_KEY = "2nqrb7e20f9gy2mp"
api_secret = "24hppoib99gudt5t4glq7yw5m9dr29ax"
# ====================================================
access_token = "GSzV0EA2hdw0ptoCqwz2Cn3Qpz7kBlRI"
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
893952026fd0c306167e0228a4a1175e93a6ae27 | 2,661 | py | Python | qt_binder/tests/test_lazy_registry.py | Qt-Widgets/qt_binding-traits | 16c7a9ee439ff35d4d027c797ae1d05453a5fc06 | [
"BSD-3-Clause"
] | 15 | 2015-09-02T11:16:50.000Z | 2021-06-24T04:00:52.000Z | qt_binder/tests/test_lazy_registry.py | Qt-Widgets/qt_binding-traits | 16c7a9ee439ff35d4d027c797ae1d05453a5fc06 | [
"BSD-3-Clause"
] | 54 | 2015-09-02T10:45:49.000Z | 2020-11-30T13:01:05.000Z | qt_binder/tests/test_lazy_registry.py | Qt-Widgets/qt_binding-traits | 16c7a9ee439ff35d4d027c797ae1d05453a5fc06 | [
"BSD-3-Clause"
] | 3 | 2015-09-16T17:23:50.000Z | 2016-07-23T05:35:55.000Z | #------------------------------------------------------------------------------
#
# Copyright (c) 2014-2015, Enthought, Inc.
# All rights reserved.
#
# This software is provided without warranty under the terms of the BSD
# license included in LICENSE.txt and may be redistributed only
# under the conditions descri... | 42.238095 | 79 | 0.640361 | #------------------------------------------------------------------------------
#
# Copyright (c) 2014-2015, Enthought, Inc.
# All rights reserved.
#
# This software is provided without warranty under the terms of the BSD
# license included in LICENSE.txt and may be redistributed only
# under the conditions descri... | 0 | 0 | 0 | 1,932 | 0 | 0 | 0 | 68 | 92 |
4a4e013da990793b7f325b9115352d6f24122139 | 1,609 | py | Python | tests/adapters/compliance_tests/remove_vlan_test.py | FrancoisLopez/netman | a40d3235f7ea0cdaf52daab97b0d5ad20857b00e | [
"Apache-2.0"
] | 38 | 2015-11-30T10:11:42.000Z | 2022-02-10T18:31:44.000Z | tests/adapters/compliance_tests/remove_vlan_test.py | FrancoisLopez/netman | a40d3235f7ea0cdaf52daab97b0d5ad20857b00e | [
"Apache-2.0"
] | 143 | 2015-12-10T19:00:42.000Z | 2020-08-20T13:51:42.000Z | tests/adapters/compliance_tests/remove_vlan_test.py | FrancoisLopez/netman | a40d3235f7ea0cdaf52daab97b0d5ad20857b00e | [
"Apache-2.0"
] | 15 | 2015-12-14T23:03:30.000Z | 2019-01-15T19:35:45.000Z | # Copyright 2019 Internap.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, so... | 33.520833 | 75 | 0.734618 | # Copyright 2019 Internap.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, so... | 0 | 0 | 0 | 846 | 0 | 0 | 0 | 99 | 90 |
ca4fdcea316887d3b7795c3d909ef75ccd95f5f9 | 1,788 | py | Python | Python/Encrypt credentials/Encryption sample/services/datavalidationservice.py | AdamRiddick/PowerBI-Developer-Samples | 4032ffd63f7e3133c2320d23dbdb0e7fbb782a37 | [
"MIT"
] | 611 | 2019-05-09T04:56:36.000Z | 2022-03-28T07:48:57.000Z | Python/Encrypt credentials/Encryption sample/services/datavalidationservice.py | AdamRiddick/PowerBI-Developer-Samples | 4032ffd63f7e3133c2320d23dbdb0e7fbb782a37 | [
"MIT"
] | 56 | 2017-03-06T12:05:26.000Z | 2019-04-29T22:52:29.000Z | Python/Encrypt credentials/Encryption sample/services/datavalidationservice.py | AdamRiddick/PowerBI-Developer-Samples | 4032ffd63f7e3133c2320d23dbdb0e7fbb782a37 | [
"MIT"
] | 599 | 2019-05-08T07:01:04.000Z | 2022-03-29T21:45:55.000Z | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
| 31.928571 | 135 | 0.599553 | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
class DataValidationService:
def validate_creds(self, data):
''' Validates data for all the functionalities
Args:
data (dict): data
'''
cred_type = data['credType']
if not data['credenti... | 0 | 0 | 0 | 1,691 | 0 | 0 | 0 | 0 | 23 |
988c0354ce8a272af50a8b6bc48de537ca761473 | 255 | py | Python | experiments/mito-em/challenge/pretty_print_table.py | JonasHell/torch-em | 2e008e0cd2f0ea6681581374fce4f9f47b986d55 | [
"MIT"
] | 13 | 2021-03-09T21:31:09.000Z | 2022-03-21T05:24:26.000Z | experiments/mito-em/challenge/pretty_print_table.py | JonasHell/torch-em | 2e008e0cd2f0ea6681581374fce4f9f47b986d55 | [
"MIT"
] | 16 | 2021-03-02T23:19:34.000Z | 2022-03-25T19:43:41.000Z | experiments/mito-em/challenge/pretty_print_table.py | JonasHell/torch-em | 2e008e0cd2f0ea6681581374fce4f9f47b986d55 | [
"MIT"
] | 4 | 2021-05-18T08:29:33.000Z | 2022-02-11T12:16:20.000Z | import argparse
import pandas as pd
parser = argparse.ArgumentParser()
parser.add_argument('--path', '-p', default='./validation_results.csv')
args = parser.parse_args()
path = args.path
df = pd.read_csv(path)
md = df.to_markdown(index=False)
print(md)
| 21.25 | 71 | 0.741176 | import argparse
import pandas as pd
parser = argparse.ArgumentParser()
parser.add_argument('--path', '-p', default='./validation_results.csv')
args = parser.parse_args()
path = args.path
df = pd.read_csv(path)
md = df.to_markdown(index=False)
print(md)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2cf6cda87d1ef3f473b9900326ece3c85de16c52 | 4,426 | py | Python | enviro-collectd.py | telescreen/raspizero-playground | 8ef3fb2c392131dac160e5489d8c30d7940ebfc5 | [
"Apache-2.0"
] | null | null | null | enviro-collectd.py | telescreen/raspizero-playground | 8ef3fb2c392131dac160e5489d8c30d7940ebfc5 | [
"Apache-2.0"
] | null | null | null | enviro-collectd.py | telescreen/raspizero-playground | 8ef3fb2c392131dac160e5489d8c30d7940ebfc5 | [
"Apache-2.0"
] | null | null | null | import os
import signal
import sys
import logging
import argparse
def _daemonize(pid_file, func, *args):
"""Call func in child process"""
pid = os.fork()
if pid > 0: # Main process
with open(pid_file, 'w') as pid_file:
pid_file.write(str(pid))
sys.exit()
elif pid == 0: # Su... | 37.82906 | 119 | 0.657479 | import random
import time
import os
import signal
import sys
import logging
import argparse
import envirophat
from prometheus_client import Gauge, start_http_server
def _daemonize(pid_file, func, *args):
"""Call func in child process"""
pid = os.fork()
if pid > 0: # Main process
with open(pid_fil... | 0 | 0 | 0 | 2,068 | 0 | 0 | 0 | 11 | 112 |
faa407f67ff777a6c375a9804176c6a822f8d252 | 3,032 | py | Python | anadroid/results_analysis/AbstractAnalyzer.py | greensoftwarelab/PyAnaDroid | c37a85a2c8e0206895f2e96d28c2baa045f6a211 | [
"MIT"
] | null | null | null | anadroid/results_analysis/AbstractAnalyzer.py | greensoftwarelab/PyAnaDroid | c37a85a2c8e0206895f2e96d28c2baa045f6a211 | [
"MIT"
] | 2 | 2022-03-31T17:33:48.000Z | 2022-03-31T17:38:22.000Z | anadroid/results_analysis/AbstractAnalyzer.py | greensoftwarelab/PyAnaDroid | c37a85a2c8e0206895f2e96d28c2baa045f6a211 | [
"MIT"
] | null | null | null | import os
from anadroid.utils.Utils import get_resources_dir
DEFAULT_CFG_ANALYZERS_FILE = os.path.join(get_resources_dir(), "config", "analyzer_filters.json")
| 32.255319 | 115 | 0.658641 | import os
from abc import ABC, abstractmethod
from anadroid.device.DeviceState import get_known_state_keys, DeviceState
from anadroid.results_analysis.filters.Filters import Filters
from anadroid.utils.Utils import get_resources_dir
DEFAULT_CFG_ANALYZERS_FILE = os.path.join(get_resources_dir(), "config", "analyzer_f... | 0 | 1,202 | 0 | 1,472 | 0 | 0 | 0 | 106 | 90 |
afac2ebef8abd79066c3866c511c037dce81eec4 | 1,260 | py | Python | proxy/core/work/remote.py | fisabiliyusri/proxy | 29934503251b704813ef3e7ed8c2a5ae69448c8a | [
"BSD-3-Clause"
] | null | null | null | proxy/core/work/remote.py | fisabiliyusri/proxy | 29934503251b704813ef3e7ed8c2a5ae69448c8a | [
"BSD-3-Clause"
] | 8 | 2022-01-23T10:51:59.000Z | 2022-03-29T22:11:57.000Z | proxy/core/work/remote.py | fisabiliyusri/proxy | 29934503251b704813ef3e7ed8c2a5ae69448c8a | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
proxy.py
~~~~~~~~
Fast, Lightweight, Pluggable, TLS interception capable proxy server focused on
Network monitoring, controls & Application development, testing, debugging.
:copyright: (c) 2013-present by Abhinav Singh and contributors.
:license: BSD, see LICENSE fo... | 31.5 | 86 | 0.688889 | # -*- coding: utf-8 -*-
"""
proxy.py
~~~~~~~~
⚡⚡⚡ Fast, Lightweight, Pluggable, TLS interception capable proxy server focused on
Network monitoring, controls & Application development, testing, debugging.
:copyright: (c) 2013-present by Abhinav Singh and contributors.
:license: BSD, see LICENSE... | 9 | 178 | 0 | 592 | 0 | 0 | 0 | 34 | 112 |
650e791991ee706ef222f34f63589ac7278447c7 | 1,278 | py | Python | deivces.py | caseymorris87/pynet_test | 8c253f3ee4ad30a545252ead918fd29b04aae763 | [
"Apache-2.0"
] | null | null | null | deivces.py | caseymorris87/pynet_test | 8c253f3ee4ad30a545252ead918fd29b04aae763 | [
"Apache-2.0"
] | null | null | null | deivces.py | caseymorris87/pynet_test | 8c253f3ee4ad30a545252ead918fd29b04aae763 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
cisco_dev1 = {'device_type': 'cisco_ios',
'ip': '184.105.247.70',
'username': 'pyclass'
'password': '88newclass'}
cisco_dev2 = {'device_type': 'cisco_ios',
'ip': '184.105.247.71',
'username': 'pyclass'
'password': '88n... | 28.4 | 47 | 0.500782 | #!/usr/bin/env python
cisco_dev1 = {'device_type': 'cisco_ios',
'ip': '184.105.247.70',
'username': 'pyclass'
'password': '88newclass'}
cisco_dev2 = {'device_type': 'cisco_ios',
'ip': '184.105.247.71',
'username': 'pyclass'
'password': '88n... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b9b6aad5a709a81908f28201d8bf7fbd66fffecd | 2,361 | py | Python | samples/make_feed.py | ZoomTen/MDiocre | c0a35938d09b22712f0c2b426e7083c68173c7b6 | [
"MIT"
] | 2 | 2021-07-19T21:56:51.000Z | 2022-01-26T14:36:59.000Z | samples/make_feed.py | ZoomTen/MDiocre | c0a35938d09b22712f0c2b426e7083c68173c7b6 | [
"MIT"
] | null | null | null | samples/make_feed.py | ZoomTen/MDiocre | c0a35938d09b22712f0c2b426e7083c68173c7b6 | [
"MIT"
] | 1 | 2021-01-11T15:26:10.000Z | 2021-01-11T15:26:10.000Z | '''
Create an RSS feed
'''
import os
import sys
# point this to the folder where mdiocre.py is located
sys.path.append(os.path.abspath('..'))
from mdiocre.core import MDiocre
from mdiocre.wizard import Wizard
from feedgen import feed
import datetime
# directory where the blog files are
BLOG_DIR = "source/blog"
WEBS... | 26.52809 | 68 | 0.690809 | '''
Create an RSS feed
'''
import os
import sys
# point this to the folder where mdiocre.py is located
sys.path.append(os.path.abspath('..'))
from mdiocre.core import MDiocre
from mdiocre.wizard import Wizard
from feedgen import feed
import datetime
# directory where the blog files are
BLOG_DIR = "source/blog"
WEBS... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b8a86b4a6538a6992a168d3194a22f85e44387a1 | 13,213 | py | Python | framework/SupervisedLearning/ScikitLearn/LinearModel/SGDRegressor.py | FlanFlanagan/raven | bd7fca18af94376a28e2144ba1da72c01c8d343c | [
"Apache-2.0"
] | 1 | 2022-03-10T18:54:09.000Z | 2022-03-10T18:54:09.000Z | framework/SupervisedLearning/ScikitLearn/LinearModel/SGDRegressor.py | FlanFlanagan/raven | bd7fca18af94376a28e2144ba1da72c01c8d343c | [
"Apache-2.0"
] | null | null | null | framework/SupervisedLearning/ScikitLearn/LinearModel/SGDRegressor.py | FlanFlanagan/raven | bd7fca18af94376a28e2144ba1da72c01c8d343c | [
"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... | 82.58125 | 194 | 0.56452 | # 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... | 0 | 10,508 | 0 | 1,304 | 0 | 0 | 0 | 55 | 67 |
7b6a64801007763d9c802f8186b2ba1234854a67 | 12,992 | py | Python | type_erasure/handle_interface_generator.py | lubkoll/friendly-type-erasure | 719830233a8652ccf18164653b466b0054a617f6 | [
"MIT"
] | null | null | null | type_erasure/handle_interface_generator.py | lubkoll/friendly-type-erasure | 719830233a8652ccf18164653b466b0054a617f6 | [
"MIT"
] | 22 | 2016-08-03T16:51:10.000Z | 2016-11-23T20:53:03.000Z | type_erasure/handle_interface_generator.py | lubkoll/friendly-type-erasure | 719830233a8652ccf18164653b466b0054a617f6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
| 47.072464 | 127 | 0.627463 | #!/usr/bin/env python
import code
import cpp
import cpp_file_parser
import file_parser
import parser_addition
import to_string
import util
import os
def add_aliases(data, scope, detail_namespace):
if data.small_buffer_optimization:
buffer = 'using Buffer = std :: array < char , ' + data.buffer + ' > ;'
... | 0 | 0 | 0 | 2,068 | 0 | 10,461 | 0 | -49 | 476 |
13032ec06428a86d136f58c2323d812fe37331b8 | 1,516 | py | Python | train_baseline_test.py | k402xxxcenxxx/TetrisBattle | 1cba803958c3856b138a3eadd94554f5a32651b2 | [
"MIT"
] | null | null | null | train_baseline_test.py | k402xxxcenxxx/TetrisBattle | 1cba803958c3856b138a3eadd94554f5a32651b2 | [
"MIT"
] | null | null | null | train_baseline_test.py | k402xxxcenxxx/TetrisBattle | 1cba803958c3856b138a3eadd94554f5a32651b2 | [
"MIT"
] | null | null | null |
import os
from stable_baselines.common.policies import MlpPolicy
from stable_baselines import PPO2
from stable_baselines.common import make_vec_env
from TetrisBattle.envs.tetris_env import TetrisSingleEnv
# load env var
CASE_NAME = get_var_from_env("CASE_NAME", "ppo2_tetris_test")
TRAIN_STEPS = int(float(get_var_f... | 32.956522 | 125 | 0.773087 |
import os
import gym
from stable_baselines.common.policies import MlpPolicy
from stable_baselines import PPO2
from stable_baselines.common import make_vec_env
from TetrisBattle.envs.tetris_env import TetrisSingleEnv
# load env var
def get_var_from_env(name, default=""):
return os.getenv(name) if os.getenv(name)... | 0 | 0 | 0 | 0 | 0 | 85 | 0 | -11 | 44 |
a2814b8a4e1d997f2a6d4f0d37c8e5c56de6282d | 405 | py | Python | src/test/resources/ProxyRef/apiproxy/resources/py/createURL.py | swilliams11/proxy-dependency-maven-plugin-accenture | 50d73720f8d3fccc9d9b50a66ea4298d5566b88b | [
"BSD-2-Clause"
] | null | null | null | src/test/resources/ProxyRef/apiproxy/resources/py/createURL.py | swilliams11/proxy-dependency-maven-plugin-accenture | 50d73720f8d3fccc9d9b50a66ea4298d5566b88b | [
"BSD-2-Clause"
] | null | null | null | src/test/resources/ProxyRef/apiproxy/resources/py/createURL.py | swilliams11/proxy-dependency-maven-plugin-accenture | 50d73720f8d3fccc9d9b50a66ea4298d5566b88b | [
"BSD-2-Clause"
] | null | null | null | from datetime import date
storeurl = flow.getVariable("Url")
expirytime = flow.getVariable("expirytime")
containerName = flow.getVariable("containerName")
date_now = str(date.today().isoformat())
url = storeurl + '/' + containerName + '/' + 'new_location/date/' + date_now + '.xml'
flow.setVariable("redirect_url"... | 22.5 | 85 | 0.740741 | import hmac
from hashlib import sha1
from sys import argv
from time import time
from datetime import date
storeurl = flow.getVariable("Url")
expirytime = flow.getVariable("expirytime")
containerName = flow.getVariable("containerName")
date_now = str(date.today().isoformat())
url = storeurl + '/' + containerName +... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -8 | 88 |
a476a62c427098a22bd6fc72104b84553ca5a7c0 | 334 | py | Python | friend/__init__.py | ace-han/onedegree | ffa30c518a0035509289c36e70316c1b660df3fd | [
"BSD-3-Clause"
] | null | null | null | friend/__init__.py | ace-han/onedegree | ffa30c518a0035509289c36e70316c1b660df3fd | [
"BSD-3-Clause"
] | 2 | 2015-10-27T10:12:36.000Z | 2015-11-01T05:21:06.000Z | friend/__init__.py | ace-han/onedegree | ffa30c518a0035509289c36e70316c1b660df3fd | [
"BSD-3-Clause"
] | null | null | null | # due to phone contact is bound to profile since we need preload phone contact data from some nasty way
# which means I have to bind PhoneContact to Profile
# which means this friend app should have be a child app in the account app
# friend module has many logic based on account app...
# which means I prefer profileId... | 66.8 | 103 | 0.781437 | # due to phone contact is bound to profile since we need preload phone contact data from some nasty way
# which means I have to bind PhoneContact to Profile
# which means this friend app should have be a child app in the account app
# friend module has many logic based on account app...
# which means I prefer profileId... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4a69ac69a6128eb74ef86491513402c65feae3cf | 4,467 | py | Python | src/simple_playgrounds/element/elements/edible.py | embaba/simple-playgrounds | 74225a032cc20ad83ae1ce39811b1fde29e44cc4 | [
"MIT"
] | 12 | 2022-01-13T09:33:49.000Z | 2022-02-10T12:10:51.000Z | src/simple_playgrounds/element/elements/edible.py | embaba/simple-playgrounds | 74225a032cc20ad83ae1ce39811b1fde29e44cc4 | [
"MIT"
] | 31 | 2020-07-19T21:47:02.000Z | 2021-11-11T23:09:18.000Z | src/simple_playgrounds/element/elements/edible.py | embaba/simple-playgrounds | 74225a032cc20ad83ae1ce39811b1fde29e44cc4 | [
"MIT"
] | 4 | 2020-11-03T17:38:52.000Z | 2021-09-02T12:04:26.000Z | """
Module for Edible SceneElement
"""
# pylint: disable=line-too-long
| 29.78 | 117 | 0.591448 | """
Module for Edible SceneElement
"""
from abc import ABC
from typing import Optional, Union
from ..element import InteractiveElement
from ...common.definitions import ElementTypes, CollisionTypes
from ...configs.parser import parse_configuration
# pylint: disable=line-too-long
class Edible(InteractiveElement, AB... | 0 | 50 | 0 | 4,062 | 0 | 0 | 0 | 99 | 180 |
0da73efa90ab01f06cfd6e88fa040803be07537a | 78 | py | Python | examples/monitor_size.py | AlexCaranha/MyLauncher | d15037d5e26eee61e851a938b432ee1107f441ab | [
"MIT"
] | null | null | null | examples/monitor_size.py | AlexCaranha/MyLauncher | d15037d5e26eee61e851a938b432ee1107f441ab | [
"MIT"
] | null | null | null | examples/monitor_size.py | AlexCaranha/MyLauncher | d15037d5e26eee61e851a938b432ee1107f441ab | [
"MIT"
] | null | null | null | import pyautogui
width, height= pyautogui.size()
print(f"{width} x {height}") | 19.5 | 31 | 0.730769 | import pyautogui
width, height= pyautogui.size()
print(f"{width} x {height}") | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ab87bf86d307cad4690613f2f7faea24b11fec32 | 20,176 | py | Python | pyhealth/models/ecg/mina.py | Abhinav43/PyHealth | 5aa9816f76990d221d79340b331c18dfa10adcb3 | [
"BSD-2-Clause"
] | 485 | 2020-08-03T20:04:21.000Z | 2022-02-25T13:35:43.000Z | pyhealth/models/ecg/mina.py | Abhinav43/PyHealth | 5aa9816f76990d221d79340b331c18dfa10adcb3 | [
"BSD-2-Clause"
] | 6 | 2020-08-06T01:07:45.000Z | 2021-10-15T21:49:42.000Z | pyhealth/models/ecg/mina.py | Abhinav43/PyHealth | 5aa9816f76990d221d79340b331c18dfa10adcb3 | [
"BSD-2-Clause"
] | 98 | 2020-08-04T01:04:38.000Z | 2022-02-09T10:36:03.000Z | # -*- coding: utf-8 -*-
# License: BSD 2 clause
import torch.nn as nn
import warnings
import torchvision.models as models
from torch import Tensor
warnings.filterwarnings('ignore')
| 37.2939 | 167 | 0.521213 | # -*- coding: utf-8 -*-
# License: BSD 2 clause
import os
import torch
import torch.nn as nn
import pickle
import warnings
import torchvision.models as models
from ._loss import callLoss
from ._dlbase import BaseControler
from pyhealth.data.data_reader.ecg import mina_reader
from collections import OrderedDict
from t... | 0 | 0 | 0 | 19,612 | 0 | 0 | 0 | 60 | 320 |
6c6657412d1b820baa78e940f2e0d47a3e1f00b1 | 804 | py | Python | weixin/weixin_localtest.py | mannuan/pyspider_script | f4c988912e1099eacd0322b4e9c3a87eaaaa526f | [
"Apache-2.0"
] | 9 | 2018-08-28T07:53:43.000Z | 2019-07-09T07:55:52.000Z | weixin/weixin_localtest.py | mannuan/pyspider_script | f4c988912e1099eacd0322b4e9c3a87eaaaa526f | [
"Apache-2.0"
] | null | null | null | weixin/weixin_localtest.py | mannuan/pyspider_script | f4c988912e1099eacd0322b4e9c3a87eaaaa526f | [
"Apache-2.0"
] | null | null | null | # -*- coding:utf-8 -*-
from selenium import webdriver
import time, json
driver = webdriver.Chrome()
driver.get('https://www.baidu.com')
driver.find_element_by_xpath('//*[@id="account"]').clear()
driver.find_element_by_xpath('//*[@id="account"]').send_keys('1192328490@qq.com')
time.sleep(2)
driver.find_element_by_xpat... | 27.724138 | 81 | 0.695274 | # -*- coding:utf-8 -*-
from selenium import webdriver
import time,json
driver = webdriver.Chrome()
driver.get('https://www.baidu.com')
driver.find_element_by_xpath('//*[@id="account"]').clear()
driver.find_element_by_xpath('//*[@id="account"]').send_keys('1192328490@qq.com')
time.sleep(2)
driver.find_element_by_xpath... | 6 | 0 | 0 | 0 | 0 | 0 | 0 | -1 | 0 |
fb59a03974c3a7b67ba4cbdecd5b6659ec601bc0 | 726 | py | Python | var/spack/repos/builtin/packages/tramonto/package.py | player1537-forks/spack | 822b7632222ec5a91dc7b7cda5fc0e08715bd47c | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 11 | 2015-10-04T02:17:46.000Z | 2018-02-07T18:23:00.000Z | var/spack/repos/builtin/packages/tramonto/package.py | player1537-forks/spack | 822b7632222ec5a91dc7b7cda5fc0e08715bd47c | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 22 | 2017-08-01T22:45:10.000Z | 2022-03-10T07:46:31.000Z | var/spack/repos/builtin/packages/tramonto/package.py | player1537-forks/spack | 822b7632222ec5a91dc7b7cda5fc0e08715bd47c | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 4 | 2016-06-10T17:57:39.000Z | 2018-09-11T04:59:38.000Z | # Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
| 29.04 | 79 | 0.665289 | # Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class Tramonto(CMakePackage):
"""Tramonto: Software for Nanostructured Fluids in Materials and B... | 0 | 0 | 0 | 484 | 0 | 0 | 0 | -2 | 46 |
349227e487faab9303a8f5407ef92bbe092e34b9 | 2,688 | py | Python | tests/test_animation_broken.py | wizardhead/pytti-core | 6030f6154ad7d17b93cf76e2d42905d4231a0abd | [
"MIT"
] | 1 | 2022-03-31T19:25:07.000Z | 2022-03-31T19:25:07.000Z | tests/test_animation_broken.py | wizardhead/pytti-core | 6030f6154ad7d17b93cf76e2d42905d4231a0abd | [
"MIT"
] | null | null | null | tests/test_animation_broken.py | wizardhead/pytti-core | 6030f6154ad7d17b93cf76e2d42905d4231a0abd | [
"MIT"
] | null | null | null | """
Trying to construct test case to reproduce
https://github.com/pytti-tools/pytti-core/issues/82
"""
from omegaconf import OmegaConf
from pytti.workhorse import _main as render_frames
from pathlib import Path
video_fpath = str(next(Path(".").glob("**/assets/*.mp4")))
print(video_fpath)
params = {
# "scenes": ... | 27.151515 | 77 | 0.622396 | """
Trying to construct test case to reproduce
https://github.com/pytti-tools/pytti-core/issues/82
"""
from omegaconf import OmegaConf
from pytti.workhorse import _main as render_frames
from pathlib import Path
video_fpath = str(next(Path(".").glob("**/assets/*.mp4")))
print(video_fpath)
params = {
# "scenes": ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ed5963b544a588facff2d43cae62aba1b88977f8 | 2,106 | py | Python | affiliates/facebook/urls.py | glogiotatidis/affiliates | 34d0ded8e24be9dd207d6419a5157dc8ce34bc06 | [
"BSD-3-Clause"
] | 15 | 2015-01-01T07:17:44.000Z | 2020-11-09T06:28:29.000Z | affiliates/facebook/urls.py | glogiotatidis/affiliates | 34d0ded8e24be9dd207d6419a5157dc8ce34bc06 | [
"BSD-3-Clause"
] | 16 | 2015-02-25T23:17:27.000Z | 2015-08-20T10:28:18.000Z | affiliates/facebook/urls.py | glogiotatidis/affiliates | 34d0ded8e24be9dd207d6419a5157dc8ce34bc06 | [
"BSD-3-Clause"
] | 12 | 2015-01-17T20:57:03.000Z | 2019-11-03T15:04:31.000Z | from django.conf.urls import patterns, url
from affiliates.facebook import views
from affiliates.base.views import handler404, handler500
urlpatterns = patterns('affiliates.facebook.views',
url(r'^/?$', views.load_app, name='facebook.load_app'),
url(r'^pre_auth/?$', views.pre_auth_promo, name='facebook.pre_... | 32.90625 | 85 | 0.657645 | from django.conf.urls import patterns, url
from affiliates.facebook import views
from affiliates.base.views import handler404, handler500
urlpatterns = patterns('affiliates.facebook.views',
url(r'^/?$', views.load_app, name='facebook.load_app'),
url(r'^pre_auth/?$', views.pre_auth_promo, name='facebook.pre_... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ff49e452f0ce373ed9dffd9e4c7f9a39e60bc5af | 843 | py | Python | CPU_Memory.py | UT1/Where-Am-I | 68058c8e1bb8b967abb6ed093821dd6c87daab60 | [
"MIT"
] | 4 | 2018-02-14T13:07:22.000Z | 2020-01-02T11:06:16.000Z | CPU_Memory.py | UT1/Where-Am-I | 68058c8e1bb8b967abb6ed093821dd6c87daab60 | [
"MIT"
] | null | null | null | CPU_Memory.py | UT1/Where-Am-I | 68058c8e1bb8b967abb6ed093821dd6c87daab60 | [
"MIT"
] | 1 | 2018-03-01T09:02:19.000Z | 2018-03-01T09:02:19.000Z | # -*- coding: utf-8 -*-
"""
Created on Wed Feb 14 14:13:49 2018
@author: srivastavau
"""
import time
print("What is happening to my CPU...?")
time.sleep(3)
ob=mcpu()
print("\n\t \tVirtual Memory Info\n")
ob.vm()
print("\n\t \tHard Disk Info\n")
ob.du()
| 28.1 | 154 | 0.569395 | # -*- coding: utf-8 -*-
"""
Created on Wed Feb 14 14:13:49 2018
@author: srivastavau
"""
import psutil as psu
import pandas as pd
import time
class mcpu:
def vm(this):
memo=psu.virtual_memory()
x=1000000000
print("Total Memory:"+str(memo[0]/x)+" GB\nAvailable Memory:"+s... | 0 | 0 | 0 | 499 | 0 | 0 | 0 | -3 | 79 |
74bdca1bdaff77a49fdf618740216b19aff54cc6 | 237 | py | Python | mysite/urls.py | lasher85/AirCheck | 52b2f78c7d797999df4952b1bcac9f7d2c12b42c | [
"MIT"
] | null | null | null | mysite/urls.py | lasher85/AirCheck | 52b2f78c7d797999df4952b1bcac9f7d2c12b42c | [
"MIT"
] | 8 | 2019-12-04T23:44:11.000Z | 2022-02-10T08:31:40.000Z | mysite/urls.py | lasher85/AirCheck | 52b2f78c7d797999df4952b1bcac9f7d2c12b42c | [
"MIT"
] | null | null | null | from django.contrib import admin
from django.urls import path, include
import debug_toolbar
urlpatterns = [
path('admin/', admin.site.urls),
path('', include('aircheck.urls')),
path('__debug__', include(debug_toolbar.urls)),
]
| 23.7 | 48 | 0.721519 | from django.contrib import admin
from django.urls import path, include
import debug_toolbar
urlpatterns = [
path('admin/', admin.site.urls),
path('', include('aircheck.urls')),
path('__debug__', include(debug_toolbar.urls)),
]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
34e303f3266cf398d612a2d00c3d73f807eb2a66 | 1,539 | py | Python | metrics.py | galberding/occ_variational_autoencoder | 3f2ac25c7f77d84b93103eccd8541fafa470b065 | [
"MIT"
] | 3 | 2020-03-26T15:39:23.000Z | 2021-11-15T01:13:25.000Z | metrics.py | galberding/occ_variational_autoencoder | 3f2ac25c7f77d84b93103eccd8541fafa470b065 | [
"MIT"
] | null | null | null | metrics.py | galberding/occ_variational_autoencoder | 3f2ac25c7f77d84b93103eccd8541fafa470b065 | [
"MIT"
] | null | null | null | import numpy as np
import torch
def compute_iou(occ1, occ2):
''' Computes the Intersection over Union (IoU) value for two sets of
occupancy values.
Args:
occ1 (tensor): first set of occupancy values
occ2 (tensor): second set of occupancy values
'''
occ1 = np.asarray(occ1)
occ2... | 27.482143 | 72 | 0.611436 | import numpy as np
import torch
def compute_iou(occ1, occ2):
''' Computes the Intersection over Union (IoU) value for two sets of
occupancy values.
Args:
occ1 (tensor): first set of occupancy values
occ2 (tensor): second set of occupancy values
'''
occ1 = np.asarray(occ1)
occ2... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8c1bb8ba939b4c7749c0f5e28e5d6af8024e9862 | 1,383 | py | Python | goscale/plugins/feeds/cms_plugins.py | sternoru/goscalecms | 7eee50357c47ebdfe3e573a8b4be3b67892d229e | [
"BSD-3-Clause"
] | 2 | 2015-09-28T10:07:38.000Z | 2016-05-31T00:17:16.000Z | goscale/plugins/feeds/cms_plugins.py | sternoru/goscalecms | 7eee50357c47ebdfe3e573a8b4be3b67892d229e | [
"BSD-3-Clause"
] | null | null | null | goscale/plugins/feeds/cms_plugins.py | sternoru/goscalecms | 7eee50357c47ebdfe3e573a8b4be3b67892d229e | [
"BSD-3-Clause"
] | null | null | null | from cms.plugin_pool import plugin_pool
from django.utils.translation import ugettext_lazy as _
from django.conf import settings
GOSCALE_FEEDS_PLUGIN_TEMPLATES = getattr(settings, 'GOSCALE_FEEDS_PLUGIN_TEMPLATES', (
('posts.html', _('Posts')),
('posts_small.html', _('Small posts (sidebar)')),
)) + getattr(sett... | 26.596154 | 92 | 0.675343 | from goscale.cms_plugins import GoscaleCMSPluginBase
from cms.plugin_pool import plugin_pool
from django.utils.translation import ugettext_lazy as _
from django.conf import settings
import models
GOSCALE_FEEDS_PLUGIN_TEMPLATES = getattr(settings, 'GOSCALE_FEEDS_PLUGIN_TEMPLATES', (
('posts.html', _('Posts')),
... | 0 | 0 | 0 | 746 | 0 | 0 | 0 | 23 | 113 |
4c60ea4b14afa9fa0a891a99e88675f5a7eb5821 | 4,368 | py | Python | quickD3map/BaseMap.py | zachcp/quickD3map | 2ed7e4f41ef2d0b0f6ed9ee89bce65f4d7a66c13 | [
"BSD-3-Clause"
] | 5 | 2015-03-08T13:08:41.000Z | 2016-03-20T15:15:50.000Z | quickD3map/BaseMap.py | zachcp/quickD3map | 2ed7e4f41ef2d0b0f6ed9ee89bce65f4d7a66c13 | [
"BSD-3-Clause"
] | 1 | 2015-04-27T10:53:08.000Z | 2015-04-27T20:06:44.000Z | quickD3map/BaseMap.py | zachcp/quickD3map | 2ed7e4f41ef2d0b0f6ed9ee89bce65f4d7a66c13 | [
"BSD-3-Clause"
] | 1 | 2020-11-04T03:35:58.000Z | 2020-11-04T03:35:58.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import (absolute_import, division, print_function )
| 40.82243 | 108 | 0.60554 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import (absolute_import, division, print_function )
import codecs
import pandas as pd
from jinja2 import Environment, PackageLoader
from flask import Flask, render_template_string
from .utilities import latitude,longitude, map_templates
from .check_da... | 0 | 68 | 0 | 3,901 | 0 | 0 | 0 | 125 | 158 |
e681b4801f774ca0b4c66e9af2c455aba44dc33e | 247 | py | Python | manager/data_manager/__init__.py | peci1/botblox-manager-software | 4592b63a22f90c1daec2b950f80b996ebb3cfc38 | [
"MIT"
] | null | null | null | manager/data_manager/__init__.py | peci1/botblox-manager-software | 4592b63a22f90c1daec2b950f80b996ebb3cfc38 | [
"MIT"
] | null | null | null | manager/data_manager/__init__.py | peci1/botblox-manager-software | 4592b63a22f90c1daec2b950f80b996ebb3cfc38 | [
"MIT"
] | null | null | null | """Package for containing data manager functions to convert user input to commands."""
from manager.data_manager.mirror import PortMirrorConfig
from manager.data_manager.vlan import VlanConfig
__all__ = [
PortMirrorConfig,
VlanConfig,
]
| 24.7 | 86 | 0.789474 | """Package for containing data manager functions to convert user input to commands."""
from manager.data_manager.mirror import PortMirrorConfig
from manager.data_manager.vlan import VlanConfig
__all__ = [
PortMirrorConfig,
VlanConfig,
]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |