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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1f09cb31eceadc76ff93699e82ee70df317cae82 | 983 | py | Python | src/spaceone/monitoring/manager/plugin_manager.py | jean1042/monitoring | 0585a1ea52ec13285eaca81cc5b19fa3f7a1fba4 | [
"Apache-2.0"
] | 5 | 2020-06-04T23:01:30.000Z | 2020-09-09T08:58:51.000Z | src/spaceone/monitoring/manager/plugin_manager.py | jean1042/monitoring | 0585a1ea52ec13285eaca81cc5b19fa3f7a1fba4 | [
"Apache-2.0"
] | 9 | 2022-02-10T00:58:28.000Z | 2022-03-23T11:12:47.000Z | src/spaceone/monitoring/manager/plugin_manager.py | jean1042/monitoring | 0585a1ea52ec13285eaca81cc5b19fa3f7a1fba4 | [
"Apache-2.0"
] | 7 | 2020-06-10T01:56:35.000Z | 2021-12-02T05:36:21.000Z | import logging
from spaceone.core.manager import BaseManager
from spaceone.core.connector.space_connector import SpaceConnector
_LOGGER = logging.getLogger(__name__)
| 35.107143 | 110 | 0.666328 |
1f0a14df894f78200ec160dd56d1194d86c6d8d9 | 1,107 | py | Python | Segmentation/bins/hist_label_portarit.py | ttthomaschan/DeepcvLib | 18f7728559136a3c5c8ad54666788ea771e95b16 | [
"MIT"
] | null | null | null | Segmentation/bins/hist_label_portarit.py | ttthomaschan/DeepcvLib | 18f7728559136a3c5c8ad54666788ea771e95b16 | [
"MIT"
] | null | null | null | Segmentation/bins/hist_label_portarit.py | ttthomaschan/DeepcvLib | 18f7728559136a3c5c8ad54666788ea771e95b16 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
# @file name : hist_label_portrait.py
# @author : JLChen
# @date : 2020-03-11
# @brief :
"""
import numpy as np
import os
import matplotlib.pyplot as plt
import pylab as pl
import cv2
if __name__ == '__main__':
data_dir = r"G:\deep_learning_data\EG_dataset\dataset\tr... | 26.357143 | 100 | 0.67299 |
1f0a726404191dd0a8ef9e2cd1c7c33d9b482f77 | 7,924 | py | Python | yoapi/contexts.py | YoApp/yo-api | a162e51804ab91724cc7ad3e7608410329da6789 | [
"MIT"
] | 1 | 2021-12-17T03:25:34.000Z | 2021-12-17T03:25:34.000Z | yoapi/contexts.py | YoApp/yo-api | a162e51804ab91724cc7ad3e7608410329da6789 | [
"MIT"
] | null | null | null | yoapi/contexts.py | YoApp/yo-api | a162e51804ab91724cc7ad3e7608410329da6789 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Client context module."""
import pytz
import time
from flask import current_app
from datetime import datetime, timedelta
from mongoengine import DoesNotExist
from .ab_test import get_enrolled_experiments
from .core import cache
from .errors import APIError
from .helpers import assert_vali... | 32.342857 | 114 | 0.617365 |
1f0acc1fb7d824f01253e231a80bcc928842ee31 | 4,180 | py | Python | coyote_framework/config/abstract_config.py | vaibhavrastogi1988/python_testing_framework | 583a2286479ed0ccda309c866a403dc92fa1bb3b | [
"MIT"
] | null | null | null | coyote_framework/config/abstract_config.py | vaibhavrastogi1988/python_testing_framework | 583a2286479ed0ccda309c866a403dc92fa1bb3b | [
"MIT"
] | null | null | null | coyote_framework/config/abstract_config.py | vaibhavrastogi1988/python_testing_framework | 583a2286479ed0ccda309c866a403dc92fa1bb3b | [
"MIT"
] | null | null | null | from configparser import ConfigParser
import json
import fnmatch
import os
__author__ = 'justin@shapeways.com'
TEST_RUN_SETTING_CONFIG = 'TEST_RUN_SETTING_CONFIG'
confg_dict = {}
def load_config_vars(target_config, source_config):
"""Loads all attributes from source config into target config
@type targe... | 35.726496 | 134 | 0.617943 |
1f0aed11f4fb176f853b2e44dfcbd9b5e33ba39f | 16,468 | py | Python | src/model_transforms.py | pmclSF/DeepCompress | 6fc51aa0e9b34fb89f97877ad56da6345f93b929 | [
"MIT"
] | 8 | 2021-03-11T10:56:35.000Z | 2022-02-24T12:44:33.000Z | src/model_transforms.py | pmclSF/DeepCompress | 6fc51aa0e9b34fb89f97877ad56da6345f93b929 | [
"MIT"
] | null | null | null | src/model_transforms.py | pmclSF/DeepCompress | 6fc51aa0e9b34fb89f97877ad56da6345f93b929 | [
"MIT"
] | null | null | null | from enum import Enum
import tensorflow.compat.v1 as tf
from tensorflow.keras.layers import Layer, Conv3D, Conv3DTranspose, AveragePooling3D
from tensorflow_core.python.keras.utils import conv_utils
import tensorflow_compression as tfc
import tensorflow.keras as keras
# ad-hoc alert: specify the activation using this... | 55.076923 | 197 | 0.660189 |
1f0d5b67c4f91743453ccb056ca36b102ec5a878 | 6,485 | py | Python | src/main.py | matthewb96/NetSpeedGraphs | 51e6f6d4f24845e50f34ed56452a4fa454db189b | [
"MIT"
] | null | null | null | src/main.py | matthewb96/NetSpeedGraphs | 51e6f6d4f24845e50f34ed56452a4fa454db189b | [
"MIT"
] | 4 | 2021-06-08T21:23:15.000Z | 2022-03-12T00:29:23.000Z | src/main.py | matthewb96/NetSpeedGraphs | 51e6f6d4f24845e50f34ed56452a4fa454db189b | [
"MIT"
] | null | null | null | """
Main module for running NetSpeedGraphs.
"""
##### IMPORTS #####
# Standard imports
from pathlib import Path
from datetime import datetime, timedelta
from argparse import ArgumentParser
# Third party imports
import speedtest
import numpy as np
import pandas as pd
from bokeh.plotting import figure, output_file,... | 33.25641 | 84 | 0.612336 |
1f0da5b719cc8ed4639299b06648e3a470d196da | 7,478 | py | Python | tests/planar_tests/test_region_in_multiregion.py | lycantropos/orient | 01f4f67a717c5ee911d83756d455cc35e85ce817 | [
"MIT"
] | 2 | 2020-11-01T00:25:09.000Z | 2021-04-07T10:13:59.000Z | tests/planar_tests/test_region_in_multiregion.py | lycantropos/orient | 01f4f67a717c5ee911d83756d455cc35e85ce817 | [
"MIT"
] | null | null | null | tests/planar_tests/test_region_in_multiregion.py | lycantropos/orient | 01f4f67a717c5ee911d83756d455cc35e85ce817 | [
"MIT"
] | null | null | null | from typing import Tuple
from ground.base import Relation
from hypothesis import given
from orient.hints import (Multiregion,
Region)
from orient.planar import (contour_in_multiregion,
region_in_multiregion,
region_in_region)
from tests.u... | 47.329114 | 79 | 0.622626 |
1f0ed2213b59cdb0f244b760bfd1759ed4538c6a | 11,676 | py | Python | gui/src/core/parse_qca.py | retallickj/qca-embedding | 96fd37a3ecd4beacb04ad1cb193d65d0b48ceab2 | [
"MIT"
] | 1 | 2017-11-02T20:38:20.000Z | 2017-11-02T20:38:20.000Z | gui/src/core/parse_qca.py | retallickj/qca-embedding | 96fd37a3ecd4beacb04ad1cb193d65d0b48ceab2 | [
"MIT"
] | null | null | null | gui/src/core/parse_qca.py | retallickj/qca-embedding | 96fd37a3ecd4beacb04ad1cb193d65d0b48ceab2 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#---------------------------------------------------------
# Name: parse_qca.py
# Purpose: Parsing functions for QCADesigner files
# Author: Jacob Retallick
# Created: 2015.10.22
# Last Modified: 2015.10.22
#---------------------------------------------------------
# NOTE
# the origin... | 32.34349 | 80 | 0.554642 |
1f0fed3d680bffcc5eeafee6ce65b7395cfecca1 | 7,391 | py | Python | docs/Tutorial/1-glm/plot_1_LinearRegression.py | bbayukari/abess | 3b21b0a58cac6c1464ec9403ffbe4902fee7b890 | [
"Intel"
] | null | null | null | docs/Tutorial/1-glm/plot_1_LinearRegression.py | bbayukari/abess | 3b21b0a58cac6c1464ec9403ffbe4902fee7b890 | [
"Intel"
] | null | null | null | docs/Tutorial/1-glm/plot_1_LinearRegression.py | bbayukari/abess | 3b21b0a58cac6c1464ec9403ffbe4902fee7b890 | [
"Intel"
] | null | null | null | """
=================
Linear Regression
=================
In this tutorial, we are going to demonstrate how to use the ``abess`` package to carry out best subset selection
in linear regression with both simulated data and real data.
"""
###############################################################################
#... | 35.028436 | 221 | 0.64998 |
1f11e9df2b051fcb60ef9a9128d6a058c4f210e2 | 2,386 | py | Python | pyppeteer/tracing.py | cr1pt/pypyteer | b3aade3741b385f2e1dde600b501776f1f5e8479 | [
"MIT"
] | null | null | null | pyppeteer/tracing.py | cr1pt/pypyteer | b3aade3741b385f2e1dde600b501776f1f5e8479 | [
"MIT"
] | null | null | null | pyppeteer/tracing.py | cr1pt/pypyteer | b3aade3741b385f2e1dde600b501776f1f5e8479 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Tracing module."""
import asyncio
from pathlib import Path
from typing import Any, Awaitable
from pyppeteer.connection import Session
| 32.684932 | 77 | 0.559933 |
1f126ef87161ba2d8fbb4e598c5bbb09c32019bd | 2,627 | py | Python | src/wai/annotations/isp/map_labels/component/_MapLabels.py | waikato-ufdl/wai-annotations-core | bac3429e9488efb456972c74f9d462f951c4af3d | [
"Apache-2.0"
] | null | null | null | src/wai/annotations/isp/map_labels/component/_MapLabels.py | waikato-ufdl/wai-annotations-core | bac3429e9488efb456972c74f9d462f951c4af3d | [
"Apache-2.0"
] | 3 | 2021-06-30T23:42:47.000Z | 2022-03-01T03:45:07.000Z | src/wai/annotations/isp/map_labels/component/_MapLabels.py | waikato-ufdl/wai-annotations-core | bac3429e9488efb456972c74f9d462f951c4af3d | [
"Apache-2.0"
] | null | null | null | from typing import Optional, Dict
from wai.common.adams.imaging.locateobjects import LocatedObjects
from wai.common.cli.options import TypedOption
from ....core.component import ProcessorComponent
from ....core.stream import ThenFunction, DoneFunction
from ....core.stream.util import RequiresNoFinalisation
from ....c... | 33.679487 | 113 | 0.650552 |
1f12f143e8af312aabb54b8c1b32c57f8566b95e | 793 | py | Python | python/tHome/msgHub/__init__.py | ZigmundRat/T-Home | 5dc8689f52d87dac890051e540b338b009293ced | [
"BSD-2-Clause"
] | 18 | 2016-04-17T19:39:28.000Z | 2020-11-19T06:55:20.000Z | python/tHome/msgHub/__init__.py | ZigmundRat/T-Home | 5dc8689f52d87dac890051e540b338b009293ced | [
"BSD-2-Clause"
] | 11 | 2018-09-07T18:34:41.000Z | 2021-05-02T04:44:54.000Z | python/tHome/msgHub/__init__.py | ZigmundRat/T-Home | 5dc8689f52d87dac890051e540b338b009293ced | [
"BSD-2-Clause"
] | 12 | 2016-10-31T12:29:08.000Z | 2021-12-28T12:18:28.000Z | #===========================================================================
#
# msgHub package
#
#===========================================================================
__doc__ = """Zero-MQ Message Hub
The msgHub is a pub/sub forwarder. All of the various data producers
send messages to the msgHub as a single ... | 28.321429 | 76 | 0.387137 |
1f14096bca569e364e31b3699b308c6507e8fe1b | 8,221 | py | Python | nlg/app.py | samrudh/gramex-nlg | fb1b1ce14347947c8644adda7bd63856dcb2ce3d | [
"MIT"
] | null | null | null | nlg/app.py | samrudh/gramex-nlg | fb1b1ce14347947c8644adda7bd63856dcb2ce3d | [
"MIT"
] | null | null | null | nlg/app.py | samrudh/gramex-nlg | fb1b1ce14347947c8644adda7bd63856dcb2ce3d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# vim:fenc=utf-8
"""
Module for gramex exposure. This shouldn't be imported anywhere, only for use
with gramex.
"""
import glob
import json
import os
import os.path as op
import pandas as pd
from six.moves.urllib import parse
from tornado.template import Template
from gramex.apps.nlg import g... | 33.555102 | 88 | 0.643961 |
1f14219d12c0adf9ade099f871dd4550e114601e | 3,682 | py | Python | data/main_data_flow.py | SterArcher/OHCA-registry-Slovenia | ad8278a28039503ab6a75d48ffea314de9a759ba | [
"MIT"
] | 1 | 2022-02-28T13:02:14.000Z | 2022-02-28T13:02:14.000Z | data/main_data_flow.py | SterArcher/dispatch | ad8278a28039503ab6a75d48ffea314de9a759ba | [
"MIT"
] | 1 | 2022-03-20T10:51:17.000Z | 2022-03-21T07:52:57.000Z | data/main_data_flow.py | SterArcher/OHCA-registry-Slovenia | ad8278a28039503ab6a75d48ffea314de9a759ba | [
"MIT"
] | null | null | null | import plotly.graph_objects as go
import plotly as plt
import random
# Uncomment the names you want the diagram to show
# Names in english
# sta = "Statistical Office"
# si = "Emergency call admission" #"sprejem intervencij"
# pni = "Emergency intervention report" #"poroilo/protokol nujne intervencije"
# pnrv = "Eme... | 35.066667 | 125 | 0.67409 |
1f14b7efeb28f5b978cdbfde55415ea03866d4ca | 569 | py | Python | tests/Exscript/memtest_host.py | saveshodhan/exscript | 72718eee3e87b345d5a5255be9824e867e42927b | [
"MIT"
] | 226 | 2015-01-20T19:59:06.000Z | 2022-01-02T11:13:01.000Z | tests/Exscript/memtest_host.py | saveshodhan/exscript | 72718eee3e87b345d5a5255be9824e867e42927b | [
"MIT"
] | 155 | 2015-01-02T07:56:27.000Z | 2022-01-09T20:56:19.000Z | tests/Exscript/memtest_host.py | saveshodhan/exscript | 72718eee3e87b345d5a5255be9824e867e42927b | [
"MIT"
] | 114 | 2015-01-03T11:48:17.000Z | 2022-01-26T02:50:43.000Z | from __future__ import print_function
from builtins import str
from builtins import range
# This script is not meant to provide a fully automated test, it's
# merely a hack/starting point for investigating memory consumption
# manually. The behavior also depends heavily on the version of meliae.
from meliae import scan... | 35.5625 | 71 | 0.773286 |
1f1586c55bd8026b70c428056979527a8012b8fd | 8,468 | py | Python | apcadastros.py | Alexsussa/ap-cadastros | 9b5e9b57970a6a044ebde071a68403e0d513e89b | [
"MIT"
] | null | null | null | apcadastros.py | Alexsussa/ap-cadastros | 9b5e9b57970a6a044ebde071a68403e0d513e89b | [
"MIT"
] | null | null | null | apcadastros.py | Alexsussa/ap-cadastros | 9b5e9b57970a6a044ebde071a68403e0d513e89b | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- encoding: utf-8 -*-
__developer__ = 'Alex Pinheiro'
__version__ = 1.4
__build__ = 6
import sqlite3
from tkinter.ttk import *
from tkinter.filedialog import *
from threading import Thread
from utils import Utils
from login import Login
u = Utils
# Listas
estados = ['AC', 'AL', 'AP', 'AM'... | 41.920792 | 118 | 0.62931 |
1f17a8045e62dbb0dc195713bf778e0658496213 | 131 | py | Python | src/pricehist/beanprice/alphavantage.py | chrisberkhout/pricehist | a54da85a6fae15e2f771e8612aed089407ec5c22 | [
"MIT"
] | 4 | 2021-09-15T03:23:10.000Z | 2022-02-08T23:31:10.000Z | src/pricehist/beanprice/alphavantage.py | chrisberkhout/pricehist | a54da85a6fae15e2f771e8612aed089407ec5c22 | [
"MIT"
] | null | null | null | src/pricehist/beanprice/alphavantage.py | chrisberkhout/pricehist | a54da85a6fae15e2f771e8612aed089407ec5c22 | [
"MIT"
] | null | null | null | from pricehist import beanprice
from pricehist.sources.alphavantage import AlphaVantage
Source = beanprice.source(AlphaVantage())
| 26.2 | 55 | 0.847328 |
1f18bfa4fe6a76d3156288890c8bbdb080595ab5 | 12,846 | py | Python | example/hit_path.py | dzwiedziu-nkg/credo-classify-framework | 45417b505b4f4b20a7248f3487ca57a3fd49ccee | [
"MIT"
] | null | null | null | example/hit_path.py | dzwiedziu-nkg/credo-classify-framework | 45417b505b4f4b20a7248f3487ca57a3fd49ccee | [
"MIT"
] | null | null | null | example/hit_path.py | dzwiedziu-nkg/credo-classify-framework | 45417b505b4f4b20a7248f3487ca57a3fd49ccee | [
"MIT"
] | 3 | 2020-06-19T15:41:19.000Z | 2020-06-29T12:47:05.000Z | import math
import sys
from scipy.interpolate import interp2d
from scipy.ndimage import rotate, center_of_mass
from scipy.spatial import distance
from skimage.feature import canny
from skimage.filters import rank, gaussian
from skimage.measure import subdivide_polygon
from skimage.morphology import medial_axis, square... | 28.738255 | 175 | 0.541725 |
1f18f11b5d9f381e25d945aa36634594b061dc4c | 3,749 | py | Python | exps/supp-synthetic/notebooks/hp_analysis.py | Viktour19/overlap-code | f5c6e63146a00f65710c38b9181bb9d12de6454f | [
"MIT"
] | 2 | 2020-07-09T03:15:58.000Z | 2022-03-09T11:57:17.000Z | exps/supp-synthetic/notebooks/hp_analysis.py | Viktour19/overlap-code | f5c6e63146a00f65710c38b9181bb9d12de6454f | [
"MIT"
] | null | null | null | exps/supp-synthetic/notebooks/hp_analysis.py | Viktour19/overlap-code | f5c6e63146a00f65710c38b9181bb9d12de6454f | [
"MIT"
] | 1 | 2021-05-18T11:55:04.000Z | 2021-05-18T11:55:04.000Z | #!/usr/bin/env python
# coding: utf-8
from sacred.observers import TinyDbReader
import pdb
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
| 41.197802 | 112 | 0.628434 |
1f1ad2122b60088ba3e024758a2e26d9b7b4784d | 9,282 | py | Python | bin/punydecode.py | mutedmouse/punydecode | 547900823b874f581a842379a4472b2a27d64c1c | [
"Apache-2.0"
] | 1 | 2021-03-24T00:22:40.000Z | 2021-03-24T00:22:40.000Z | bin/punydecode.py | mutedmouse/punydecode | 547900823b874f581a842379a4472b2a27d64c1c | [
"Apache-2.0"
] | null | null | null | bin/punydecode.py | mutedmouse/punydecode | 547900823b874f581a842379a4472b2a27d64c1c | [
"Apache-2.0"
] | null | null | null | # Copyright (C) 2005-2017 Splunk Inc. All Rights Reserved. Version 6.x
# Author: Andrew Quill
import sys,splunk.Intersplunk
import string
import getpass
import re
if __name__ == "__main__":
main()
| 45.058252 | 120 | 0.5195 |
1f1e0b869b9f01994358b74334809a1ece521ead | 774 | py | Python | 345_ReverseVowelsOfAString.py | satwiksabharwal01/LeetcodeProblemSolutions | c08fb77b76519f9c543d74f84cb2c0477aeddcd9 | [
"MIT"
] | 1 | 2020-06-03T22:00:54.000Z | 2020-06-03T22:00:54.000Z | 345_ReverseVowelsOfAString.py | AmiGandhi/leetcode | 238186f1e4dd7f243caab47173ebc2511ae5902e | [
"MIT"
] | null | null | null | 345_ReverseVowelsOfAString.py | AmiGandhi/leetcode | 238186f1e4dd7f243caab47173ebc2511ae5902e | [
"MIT"
] | null | null | null | # Write a function that takes a string as input and reverse only the vowels of a string.
# Example 1:
# Input: "hello"
# Output: "holle"
# Example 2:
# Input: "leetcode"
# Output: "leotcede"
if __name__ == "__main__":
s = "hello"
print(Solution().reverseVowels(s)) | 26.689655 | 88 | 0.536176 |
1f1f88fe67e806539b890092e9e0d182702100b7 | 574 | py | Python | script/run_basic_slackbot.py | imperial-genomics-facility/IGFSlackBot | 2692460e907381cea067b674a560cacef6fff981 | [
"Apache-2.0"
] | null | null | null | script/run_basic_slackbot.py | imperial-genomics-facility/IGFSlackBot | 2692460e907381cea067b674a560cacef6fff981 | [
"Apache-2.0"
] | null | null | null | script/run_basic_slackbot.py | imperial-genomics-facility/IGFSlackBot | 2692460e907381cea067b674a560cacef6fff981 | [
"Apache-2.0"
] | null | null | null | import argparse
from slackbot.basic.igfbasicslackbot import IgfBasicSlackBot
parser=argparse.ArgumentParser()
parser.add_argument('-s','--slack_config', required=True, help='Slack configuration json file')
parser.add_argument('-p','--project_data', required=True, help='Project data CSV file')
args=parser.parse_args()... | 31.888889 | 95 | 0.771777 |
1f201209100b12ce6a3d7fab4f4d25eb9b397c33 | 258 | py | Python | python/Exercises105Bonus.py | TerryRPatterson/Coursework | 633d15b9ceb4e5a3cc4c74d0ca44ab91d7faa7c7 | [
"Apache-2.0"
] | null | null | null | python/Exercises105Bonus.py | TerryRPatterson/Coursework | 633d15b9ceb4e5a3cc4c74d0ca44ab91d7faa7c7 | [
"Apache-2.0"
] | null | null | null | python/Exercises105Bonus.py | TerryRPatterson/Coursework | 633d15b9ceb4e5a3cc4c74d0ca44ab91d7faa7c7 | [
"Apache-2.0"
] | 2 | 2018-02-16T00:44:16.000Z | 2018-02-16T18:44:45.000Z | countDown(20,"Blastoff!")
| 25.8 | 75 | 0.631783 |
1f2103ff16477b77dbb801e6f1f09baa26d1ea3b | 1,170 | py | Python | bgbl/management/commands/fix_glyphs.py | okfde/api.offenegesetze.de | 85bc0a1a65dfa77651b7319eb0fccde1a27ba193 | [
"MIT"
] | 16 | 2018-12-10T11:59:44.000Z | 2020-06-28T21:37:15.000Z | bgbl/management/commands/fix_glyphs.py | bundestag/api.offenegesetze.de | 280673b9995a8a5c1fd01b1cb14dc0046599530f | [
"MIT"
] | 21 | 2020-02-11T23:17:52.000Z | 2022-01-05T13:58:20.000Z | bgbl/management/commands/fix_glyphs.py | bundestag/api.offenegesetze.de | 280673b9995a8a5c1fd01b1cb14dc0046599530f | [
"MIT"
] | 1 | 2018-12-11T20:17:09.000Z | 2018-12-11T20:17:09.000Z | from glob import glob
import os
import shutil
from django.core.management.base import BaseCommand
from bgbl.pdf_utils import fix_glyphs, remove_watermark
| 30.789474 | 81 | 0.638462 |
1f228e4d5652a96220edc4fa67e8ff6e9ecc91ac | 657 | py | Python | catalog/bindings/csw/time_topology_complex_type.py | NIVANorge/s-enda-playground | 56ae0a8978f0ba8a5546330786c882c31e17757a | [
"Apache-2.0"
] | null | null | null | catalog/bindings/csw/time_topology_complex_type.py | NIVANorge/s-enda-playground | 56ae0a8978f0ba8a5546330786c882c31e17757a | [
"Apache-2.0"
] | null | null | null | catalog/bindings/csw/time_topology_complex_type.py | NIVANorge/s-enda-playground | 56ae0a8978f0ba8a5546330786c882c31e17757a | [
"Apache-2.0"
] | null | null | null | from dataclasses import dataclass, field
from typing import List
from bindings.csw.abstract_time_complex_type import AbstractTimeComplexType
from bindings.csw.time_topology_primitive_property_type import (
TimeTopologyPrimitivePropertyType,
)
__NAMESPACE__ = "http://www.opengis.net/gml"
| 26.28 | 75 | 0.703196 |
1f251d95dc8853c21e444177f77e27a265f912f3 | 1,534 | py | Python | maro/cli/grass/lib/services/node_api_server/blueprints/containers.py | yangboz/maro | 0973783e55ca07bf8e177910c9d47854117a4ea8 | [
"MIT"
] | 598 | 2020-09-23T00:50:22.000Z | 2022-03-31T08:12:54.000Z | maro/cli/grass/lib/services/node_api_server/blueprints/containers.py | gx9702/maro | 38c796f0a7ed1e0f64c299d96c6e0df032401fa9 | [
"MIT"
] | 235 | 2020-09-22T10:20:48.000Z | 2022-03-31T02:10:03.000Z | maro/cli/grass/lib/services/node_api_server/blueprints/containers.py | gx9702/maro | 38c796f0a7ed1e0f64c299d96c6e0df032401fa9 | [
"MIT"
] | 116 | 2020-09-22T09:19:04.000Z | 2022-02-12T05:04:07.000Z | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from flask import Blueprint, abort, request
from ...utils.docker_controller import DockerController
from ...utils.exception import CommandExecutionError
# Flask related.
blueprint = Blueprint(name="container", import_name=__name__)
URL_PREFIX... | 22.895522 | 89 | 0.683833 |
1f25e26a1245bec906b2d218d9c2eb30d569b680 | 384 | py | Python | examples/testlogger.py | ev3dev-python-tools/ev3devlogging | b98904d9d93059159637d87e5ebcab8ca093b0f1 | [
"MIT"
] | null | null | null | examples/testlogger.py | ev3dev-python-tools/ev3devlogging | b98904d9d93059159637d87e5ebcab8ca093b0f1 | [
"MIT"
] | null | null | null | examples/testlogger.py | ev3dev-python-tools/ev3devlogging | b98904d9d93059159637d87e5ebcab8ca093b0f1 | [
"MIT"
] | null | null | null | # print to log file, not shown on screen (to stderr which ev3dev os puts in logfile)
from ev3devlogger import log
#from ev3devlogger import timedlog as log
log("starwars song(log)")
from ev3devlogger import timedlog
timedlog("starwars song(timedlog)")
print("starwars (print)")
log("starwars song")
from ev3devlogg... | 27.428571 | 86 | 0.770833 |
1f26b6eb6d6dcadfa381edb1a417fab9d0a51f97 | 5,305 | py | Python | python_graphs/instruction_test.py | reshinthadithyan/python-graphs | 1234c448cb38af44c963d5ef7f8d99f678028104 | [
"Apache-2.0"
] | 53 | 2021-04-12T14:20:16.000Z | 2022-03-29T02:47:30.000Z | python_graphs/instruction_test.py | reshinthadithyan/python-graphs | 1234c448cb38af44c963d5ef7f8d99f678028104 | [
"Apache-2.0"
] | 2 | 2021-09-08T16:37:34.000Z | 2022-03-15T17:32:36.000Z | python_graphs/instruction_test.py | reshinthadithyan/python-graphs | 1234c448cb38af44c963d5ef7f8d99f678028104 | [
"Apache-2.0"
] | 14 | 2021-05-08T04:34:46.000Z | 2022-01-16T12:58:16.000Z | # Copyright (C) 2021 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 42.782258 | 77 | 0.6541 |
1f26c8fd4ac1dfad9af1cf8e92f70fe641af8f00 | 6,521 | py | Python | src/licensedcode/saneyaml.py | chetanya-shrimali/scancode-toolkit | a1a22fb225cbeb211bd6f92272a46f1351f57d6b | [
"Apache-2.0",
"CC0-1.0"
] | null | null | null | src/licensedcode/saneyaml.py | chetanya-shrimali/scancode-toolkit | a1a22fb225cbeb211bd6f92272a46f1351f57d6b | [
"Apache-2.0",
"CC0-1.0"
] | null | null | null | src/licensedcode/saneyaml.py | chetanya-shrimali/scancode-toolkit | a1a22fb225cbeb211bd6f92272a46f1351f57d6b | [
"Apache-2.0",
"CC0-1.0"
] | null | null | null | #
# Copyright (c) 2017 nexB Inc. and others. All rights reserved.
# http://nexb.com and https://github.com/nexB/scancode-toolkit/
# The ScanCode software is licensed under the Apache License version 2.0.
# Data generated with ScanCode require an acknowledgment.
# ScanCode is a trademark of nexB Inc.
#
# You may not use... | 33.441026 | 90 | 0.73455 |
1f272919a0358c21a01d9a8008881e0d63626d7a | 14,383 | py | Python | tsutsuji/gui_tsutsuji.py | konawasabi/tsutsuji-trackcomputer | 04469a8a9872e8bad3d661c5911b9c881fab8ca9 | [
"Apache-2.0"
] | 1 | 2022-03-14T00:35:05.000Z | 2022-03-14T00:35:05.000Z | tsutsuji/gui_tsutsuji.py | konawasabi/tsutsuji-trackcomputer | 04469a8a9872e8bad3d661c5911b9c881fab8ca9 | [
"Apache-2.0"
] | null | null | null | tsutsuji/gui_tsutsuji.py | konawasabi/tsutsuji-trackcomputer | 04469a8a9872e8bad3d661c5911b9c881fab8ca9 | [
"Apache-2.0"
] | null | null | null | #
# Copyright 2021-2022 konawasabi
#
# 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 o... | 43.453172 | 144 | 0.643398 |
1f2ccc8e4139330b0b1a1e4de76035b03e5fa0d0 | 1,011 | py | Python | extra/uniq.py | JarryShaw/darc | 0fc8782bb2f641ca3734c94666cbc36e3d9cb09f | [
"BSD-3-Clause"
] | 24 | 2020-07-08T06:16:52.000Z | 2022-02-19T00:33:34.000Z | extra/uniq.py | JarryShaw/darc | 0fc8782bb2f641ca3734c94666cbc36e3d9cb09f | [
"BSD-3-Clause"
] | 42 | 2020-05-29T12:56:10.000Z | 2022-03-07T17:12:08.000Z | extra/uniq.py | JarryShaw/darc | 0fc8782bb2f641ca3734c94666cbc36e3d9cb09f | [
"BSD-3-Clause"
] | 7 | 2020-07-11T18:57:24.000Z | 2022-02-01T21:46:30.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
import sys
import tempfile
if __name__ == "__main__":
sys.exit(main())
| 24.071429 | 72 | 0.547972 |
1f2d5d68906150aa022de6e4c0b468cf3688673c | 353 | py | Python | tests.py | B1Z0N/turingmachine | 4c6761ee52fd05071d675a8cab8558025a5c26d9 | [
"MIT"
] | null | null | null | tests.py | B1Z0N/turingmachine | 4c6761ee52fd05071d675a8cab8558025a5c26d9 | [
"MIT"
] | 3 | 2020-03-24T16:53:31.000Z | 2021-02-02T21:58:25.000Z | tests.py | B1Z0N/turingmachine | 4c6761ee52fd05071d675a8cab8558025a5c26d9 | [
"MIT"
] | null | null | null | """
Script that runs all tests written
"""
import os
import pathlib
import pytest
cwd = pathlib.Path.cwd
os.chdir(cwd() / "tests")
for subf in subfolders(cwd()):
if not subf.endswith("__pycache__"):
os.chdir(subf)
pytest.main()
| 13.576923 | 72 | 0.645892 |
1f2da5398cfdb995da864f3b7f84a89bc1c2fda5 | 7,933 | py | Python | sandbox/straws/loadstraws.py | mustaric/lambda-tess-search | 1d48133f32c8a073cba5d221f30c2d44e8d06e4b | [
"BSD-3-Clause"
] | 2 | 2019-06-26T14:35:22.000Z | 2020-05-12T15:26:27.000Z | sandbox/straws/loadstraws.py | mustaric/lambda-tess-search | 1d48133f32c8a073cba5d221f30c2d44e8d06e4b | [
"BSD-3-Clause"
] | 7 | 2019-06-26T20:52:14.000Z | 2020-12-16T21:08:20.000Z | sandbox/straws/loadstraws.py | mustaric/lambda-tess-search | 1d48133f32c8a073cba5d221f30c2d44e8d06e4b | [
"BSD-3-Clause"
] | 2 | 2019-06-26T20:24:11.000Z | 2020-05-12T19:36:04.000Z | # -*- coding: utf-8 -*-
# Copyright 2017-2018 Orbital Insight Inc., all rights reserved.
# Contains confidential and trade secret information.
# Government Users: Commercial Computer Software - Use governed by
# terms of Orbital Insight commercial license agreement.
"""
Created on Tue Oct 22 21:22:36 2019
@author: fe... | 30.511538 | 87 | 0.573427 |
1f2febb0be1e8f771610a3b24e1a5429336b73dd | 508 | py | Python | vbench/scripts/vb_run_benchmarks.py | vene/vbench | 77989fa0d3c45e63f576968d206021ffee72a24c | [
"MIT"
] | 1 | 2017-08-12T03:11:42.000Z | 2017-08-12T03:11:42.000Z | vbench/scripts/vb_run_benchmarks.py | vene/vbench | 77989fa0d3c45e63f576968d206021ffee72a24c | [
"MIT"
] | null | null | null | vbench/scripts/vb_run_benchmarks.py | vene/vbench | 77989fa0d3c45e63f576968d206021ffee72a24c | [
"MIT"
] | null | null | null | import sys
import traceback
import cPickle as pickle
if len(sys.argv) != 3:
print 'Usage: script.py input output'
sys.exit()
in_path, out_path = sys.argv[1:]
benchmarks = pickle.load(open(in_path))
results = {}
for bmk in benchmarks:
try:
res = bmk.run()
results[bmk.checksum] = res
ex... | 22.086957 | 68 | 0.647638 |
1f2ff6c7d9e8ddf98bfe8be97cd8f3e7685911e4 | 6,445 | py | Python | problems/kitchencombinatorics/data/secret/gendata.py | stoman/CompetitiveProgramming | 0000b64369b50e31c6f48939e837bdf6cece8ce4 | [
"MIT"
] | 2 | 2020-12-22T13:21:25.000Z | 2021-12-12T22:26:26.000Z | problems/kitchencombinatorics/data/secret/gendata.py | stoman/CompetitiveProgramming | 0000b64369b50e31c6f48939e837bdf6cece8ce4 | [
"MIT"
] | null | null | null | problems/kitchencombinatorics/data/secret/gendata.py | stoman/CompetitiveProgramming | 0000b64369b50e31c6f48939e837bdf6cece8ce4 | [
"MIT"
] | null | null | null | import sys
import random
MAX_R = 1000
MAX_D = 25
MAX_K = 20
MAX_C = 2000
MAX_B = 100
case_no = 1
random.seed(42)
gen_special()
gen_random(17, 5, 9, 8, 23, 5, 11)
for i in range(25):
r = random.randint(1, MAX_R)
s = random.randint(1, MAX_D)
m = random.randint(1, MAX_D)
d = random.randint(1, MAX_... | 42.401316 | 213 | 0.621257 |
1f30e7564e6c5decd42ff9ef937b6271af7e25ce | 8,797 | py | Python | MISC/opt_omega_ip.py | PHOTOX/photoxrepo | 83ad3813e9c52926e6387afc76813e99d430a5f3 | [
"MIT"
] | 4 | 2015-03-27T09:12:44.000Z | 2022-01-18T08:45:29.000Z | MISC/opt_omega_ip.py | PHOTOX/photoxrepo | 83ad3813e9c52926e6387afc76813e99d430a5f3 | [
"MIT"
] | 5 | 2015-01-06T22:08:58.000Z | 2021-04-12T07:56:34.000Z | MISC/opt_omega_ip.py | PHOTOX/photoxrepo | 83ad3813e9c52926e6387afc76813e99d430a5f3 | [
"MIT"
] | 2 | 2019-09-02T11:43:32.000Z | 2022-01-18T08:45:30.000Z | #!/usr/bin/env python
import os
import sys
sys.path.append(os.getcwd())
import abinitio_driver as driver
from abinitio_driver import AUtoEV
import scipy.optimize as opt
from scipy.interpolate import interp1d
try:
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
except:
pass
# This i... | 32.581481 | 103 | 0.665909 |
1f36e08746ee116943eb44bc9ccc08813b7b6dbe | 415 | py | Python | test/test_pbp.py | Galtozzy/basketball_reference_scraper | fb0081f2ae146f3a7da3a17d4e30af0c0dc1124a | [
"MIT"
] | 191 | 2020-01-14T19:32:54.000Z | 2022-03-29T17:57:19.000Z | test/test_pbp.py | Galtozzy/basketball_reference_scraper | fb0081f2ae146f3a7da3a17d4e30af0c0dc1124a | [
"MIT"
] | 59 | 2020-01-14T18:55:09.000Z | 2022-03-03T21:10:03.000Z | test/test_pbp.py | Galtozzy/basketball_reference_scraper | fb0081f2ae146f3a7da3a17d4e30af0c0dc1124a | [
"MIT"
] | 76 | 2020-01-08T19:50:31.000Z | 2022-03-31T18:52:06.000Z | import unittest
from basketball_reference_scraper.pbp import get_pbp
if __name__ == '__main__':
unittest.main()
| 34.583333 | 124 | 0.710843 |
1f376809bd6d755cb0caead50017abc148fc244a | 978 | py | Python | bin/grep.py | Blindfold/pk-mod | 24f958b0d501a3b5d9393dcad1e69987c2448968 | [
"Apache-2.0"
] | 1 | 2019-04-03T20:02:40.000Z | 2019-04-03T20:02:40.000Z | bin/grep.py | Blindfold-Games/pk-mod | 24f958b0d501a3b5d9393dcad1e69987c2448968 | [
"Apache-2.0"
] | 3 | 2015-01-03T23:56:51.000Z | 2015-01-15T09:16:46.000Z | bin/grep.py | Blindfold-Games/pk-mod | 24f958b0d501a3b5d9393dcad1e69987c2448968 | [
"Apache-2.0"
] | null | null | null | import re
import os
from sys import argv
def find(what, where, depth=True):
"""
:param what: str String to search for
:param where: str directory to start search in
:param regexp: bool If true then 'what' is a regexp, otherwise - use simple substring search
:return:
"""
r = re.compile(what... | 27.166667 | 96 | 0.5818 |
1f39f0a7bb12ceef46b29fb32101f2f558a75220 | 2,023 | py | Python | solution.py | nandita16gupta/CSV-Reading-using-Dynamic-Programming | 793f9a9b23c2b1ea45d9ec71ea7070690932f9aa | [
"Apache-2.0"
] | null | null | null | solution.py | nandita16gupta/CSV-Reading-using-Dynamic-Programming | 793f9a9b23c2b1ea45d9ec71ea7070690932f9aa | [
"Apache-2.0"
] | null | null | null | solution.py | nandita16gupta/CSV-Reading-using-Dynamic-Programming | 793f9a9b23c2b1ea45d9ec71ea7070690932f9aa | [
"Apache-2.0"
] | null | null | null |
import csv
visited = {}
if __name__ == "__main__":
rows = []
with open('input.csv') as csvfile:
reader = csv.reader(csvfile)
for row in reader:
rows.append(row)
output_rows = []
for row in rows:
output_row = []
for cell in row:
output_ro... | 24.373494 | 53 | 0.44439 |
1f3ab12d8151036391c9ff1e4b3cbf52e4305e09 | 1,147 | py | Python | slacm/exceptions.py | SLAcM/SLAcM | 62943f4a68725674b103c73fcbcd25bb9cb5890e | [
"Apache-2.0"
] | 1 | 2022-01-13T03:19:24.000Z | 2022-01-13T03:19:24.000Z | slacm/exceptions.py | SLAcM/SLAcM | 62943f4a68725674b103c73fcbcd25bb9cb5890e | [
"Apache-2.0"
] | null | null | null | slacm/exceptions.py | SLAcM/SLAcM | 62943f4a68725674b103c73fcbcd25bb9cb5890e | [
"Apache-2.0"
] | null | null | null | '''
Created on Sep 19, 2020
@author: esdev
'''
| 24.404255 | 41 | 0.652136 |
1f3ca2663f904f54aa3ffae1453e96545934c8ab | 959 | py | Python | tests/test_auth.py | ChukwuEmekaAjah/buycoins_python | 86547aa742364a0e308b1dfb5f7c73b4467b1e06 | [
"MIT"
] | 1 | 2021-03-25T19:28:48.000Z | 2021-03-25T19:28:48.000Z | tests/test_auth.py | ChukwuEmekaAjah/buycoins_python | 86547aa742364a0e308b1dfb5f7c73b4467b1e06 | [
"MIT"
] | null | null | null | tests/test_auth.py | ChukwuEmekaAjah/buycoins_python | 86547aa742364a0e308b1dfb5f7c73b4467b1e06 | [
"MIT"
] | null | null | null | from buycoins_client import Auth
import unittest
if __name__ == '__main__':
unittest.main()
| 26.638889 | 89 | 0.605839 |
1f3d20a100b0201057cb5b8f77818cba1ad9e63b | 6,328 | py | Python | icn/plc/main.py | PMaynard/ndn-water-treatment-testbed | 926db68237b06f43f6e736f035201ed71fc153bc | [
"MIT"
] | 3 | 2021-01-20T00:54:09.000Z | 2021-06-02T01:54:02.000Z | icn/plc/main.py | PMaynard/ndn-water-treatment-testbed | 926db68237b06f43f6e736f035201ed71fc153bc | [
"MIT"
] | null | null | null | icn/plc/main.py | PMaynard/ndn-water-treatment-testbed | 926db68237b06f43f6e736f035201ed71fc153bc | [
"MIT"
] | null | null | null | # from ui import UI
# from ui import UI_Element
import sys
import time
import threading
import socket
from plcrpcservice import PLCRPCClient
import pyndn
from pyndn import Name
from pyndn import Face
from pyndn import Interest
from pyndn.security import KeyChain
from pyndn.security.identity import IdentityManager
fr... | 31.326733 | 112 | 0.588021 |
1f3eb22adbac011762c8a0158ac669343f090557 | 2,876 | py | Python | cogs/administration.py | tigersharkpr13/AnsuraBot | 035797121d8e7952bc38e32834cdb655c15cb703 | [
"Unlicense"
] | null | null | null | cogs/administration.py | tigersharkpr13/AnsuraBot | 035797121d8e7952bc38e32834cdb655c15cb703 | [
"Unlicense"
] | null | null | null | cogs/administration.py | tigersharkpr13/AnsuraBot | 035797121d8e7952bc38e32834cdb655c15cb703 | [
"Unlicense"
] | null | null | null | from typing import Union
import discord
from discord.ext import commands
import cogs.gamertags
from ansura.ansurabot import AnsuraBot
from ansura.ansuracontext import AnsuraContext
| 40.507042 | 92 | 0.561544 |
1f3f0f56c3a1c070b48e8fbce26fe6e40715c8ef | 357 | py | Python | project/celery.py | kunugoda/jobbrd | 19debcac7673a85eda4a8d1eb00e5537268bd601 | [
"MIT"
] | 1 | 2020-06-17T05:25:42.000Z | 2020-06-17T05:25:42.000Z | project/celery.py | kunugoda/jobbrd | 19debcac7673a85eda4a8d1eb00e5537268bd601 | [
"MIT"
] | null | null | null | project/celery.py | kunugoda/jobbrd | 19debcac7673a85eda4a8d1eb00e5537268bd601 | [
"MIT"
] | null | null | null | import os
from celery import Celery
from django.conf import settings
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'project.settings')
app = Celery('jobboard')
app.config_from_object('django.conf:settings')
app.autodiscover_tasks(lambda: settings.INSTALLED_APPS)
| 23.8 | 67 | 0.787115 |
1f406fa1d479f75e59d5f05a3c4ac549424cb9b7 | 214 | py | Python | filer/models/__init__.py | pbs/django-filer | c862a84d4e1d86c14eeb509e341f6a7d39a421bf | [
"BSD-3-Clause"
] | 1 | 2015-03-03T15:49:14.000Z | 2015-03-03T15:49:14.000Z | filer/models/__init__.py | pbs/django-filer | c862a84d4e1d86c14eeb509e341f6a7d39a421bf | [
"BSD-3-Clause"
] | 10 | 2015-04-08T14:16:52.000Z | 2021-12-15T16:17:57.000Z | filer/models/__init__.py | pbs/django-filer | c862a84d4e1d86c14eeb509e341f6a7d39a421bf | [
"BSD-3-Clause"
] | null | null | null | #-*- coding: utf-8 -*-
from .mixins import *
from .filemodels import *
from .clipboardmodels import *
from .imagemodels import *
from .foldermodels import *
from .virtualitems import *
from .archivemodels import *
| 23.777778 | 30 | 0.742991 |
1f407417b73374a6afc645fcceeb6ced94f54f5e | 2,388 | py | Python | EGGS_labrad/clients/cryovac_clients/fma1700a_client.py | EGGS-Experiment/EGGS_Control | c29b3ab0e30dcb6e01d1ca3212ac64ad1506143b | [
"MIT"
] | 2 | 2021-12-26T05:00:54.000Z | 2021-12-30T17:15:49.000Z | EGGS_labrad/clients/cryovac_clients/fma1700a_client.py | EGGS-Experiment/EGGS_Control | c29b3ab0e30dcb6e01d1ca3212ac64ad1506143b | [
"MIT"
] | null | null | null | EGGS_labrad/clients/cryovac_clients/fma1700a_client.py | EGGS-Experiment/EGGS_Control | c29b3ab0e30dcb6e01d1ca3212ac64ad1506143b | [
"MIT"
] | null | null | null | from time import time
from datetime import datetime
from twisted.internet.defer import inlineCallbacks
from EGGS_labrad.clients import GUIClient
from EGGS_labrad.clients.cryovac_clients.fma1700a_gui import fma1700a_gui
if __name__ == "__main__":
from EGGS_labrad.clients import runClient
runClient(fma1700a_c... | 33.166667 | 100 | 0.620603 |
1f41c0a4ab7d43a2dea653442a426c4d1174eff9 | 1,653 | py | Python | tests/test_model.py | camisatx/flasker | affc9fc13742e18434961b8ec15f133cc246dcd5 | [
"MIT"
] | 3 | 2020-12-12T01:30:08.000Z | 2021-10-13T16:47:56.000Z | tests/test_model.py | camisatx/flasker | affc9fc13742e18434961b8ec15f133cc246dcd5 | [
"MIT"
] | null | null | null | tests/test_model.py | camisatx/flasker | affc9fc13742e18434961b8ec15f133cc246dcd5 | [
"MIT"
] | 1 | 2020-12-12T01:30:13.000Z | 2020-12-12T01:30:13.000Z | import sys
import unittest
sys.path.append('../')
from app import db # NOQA
from app.models import User # NOQA
from tests.base import BaseTestCase # NOQA
if __name__ == '__main__':
unittest.main()
| 31.788462 | 75 | 0.603146 |
1f41eb6162eb883a714a301cdb2d992b3f4f957d | 119 | py | Python | examples/__init__.py | DiMoser/PyPinT | 3cba394d0fd87055ab412d35fe6dbf4a3b0dbe73 | [
"MIT"
] | null | null | null | examples/__init__.py | DiMoser/PyPinT | 3cba394d0fd87055ab412d35fe6dbf4a3b0dbe73 | [
"MIT"
] | null | null | null | examples/__init__.py | DiMoser/PyPinT | 3cba394d0fd87055ab412d35fe6dbf4a3b0dbe73 | [
"MIT"
] | null | null | null | # coding=utf-8
"""Examples demonstrating usage of PyPinT
.. moduleauthor:: Torbjrn Klatt <t.klatt@fz-juelich.de>
"""
| 19.833333 | 56 | 0.722689 |
1f43bc58bc8f57d5639beefb900d57b125412748 | 1,440 | py | Python | cd4ml/app.py | joragupra/CD4ML-Scenarios | 8c8886388260147cd5248dfa1945f60ebabfaacc | [
"MIT"
] | 1 | 2020-12-24T19:52:58.000Z | 2020-12-24T19:52:58.000Z | cd4ml/app.py | joragupra/CD4ML-Scenarios | 8c8886388260147cd5248dfa1945f60ebabfaacc | [
"MIT"
] | null | null | null | cd4ml/app.py | joragupra/CD4ML-Scenarios | 8c8886388260147cd5248dfa1945f60ebabfaacc | [
"MIT"
] | 1 | 2020-05-04T18:21:41.000Z | 2020-05-04T18:21:41.000Z | from flask import Flask, render_template, request
import cd4ml.app_utils as utils
from cd4ml.fluentd_logging import FluentdLogger
app = Flask(__name__, template_folder='webapp/templates',
static_folder='webapp/static')
fluentd_logger = FluentdLogger()
def log_prediction_console(log_payload):
pri... | 25.263158 | 66 | 0.702083 |
1f44b877c61b52c5169fcc3dc901630593e11752 | 1,456 | py | Python | api/crud/events.py | cnuland/tbml | 8dca907011971a8ad21dfc5b5d6bec1ddbff0818 | [
"MIT"
] | null | null | null | api/crud/events.py | cnuland/tbml | 8dca907011971a8ad21dfc5b5d6bec1ddbff0818 | [
"MIT"
] | null | null | null | api/crud/events.py | cnuland/tbml | 8dca907011971a8ad21dfc5b5d6bec1ddbff0818 | [
"MIT"
] | null | null | null | from fastapi import HTTPException
from tortoise.exceptions import DoesNotExist
from db.models import Events
from schemas.events import EventsOutSchema
| 35.512195 | 86 | 0.76511 |
1f46b6c5cc84e0b05c2f63e339fe44af56c4515e | 29,428 | py | Python | sfx/sfx.py | Terry14/sfx | 16bcf401ba3251b0de211276d97153469499515d | [
"MIT"
] | null | null | null | sfx/sfx.py | Terry14/sfx | 16bcf401ba3251b0de211276d97153469499515d | [
"MIT"
] | null | null | null | sfx/sfx.py | Terry14/sfx | 16bcf401ba3251b0de211276d97153469499515d | [
"MIT"
] | null | null | null | import asyncio
import os
import unicodedata
import aiohttp
import discord
import lavalink
import unidecode
from redbot.core import Config, checks, commands
from redbot.core.utils.chat_formatting import pagify
from redbot.core.utils.predicates import MessagePredicate
from .api import generate_urls
try:
from redb... | 35.327731 | 157 | 0.571259 |
1f477811434f0fbba0fb2564e885e5ce2cde1027 | 581 | py | Python | norm_files.py | jncraton/ipeds-data | e17b051bac3d4d112d83a85f38dc1422d4fb584b | [
"MIT"
] | null | null | null | norm_files.py | jncraton/ipeds-data | e17b051bac3d4d112d83a85f38dc1422d4fb584b | [
"MIT"
] | null | null | null | norm_files.py | jncraton/ipeds-data | e17b051bac3d4d112d83a85f38dc1422d4fb584b | [
"MIT"
] | null | null | null | """
Normalizes contents for all data files.
- Converts column names to uppercase
- Converts data values to uppercase
- Converts to Unix line endings
- Removes trailing whitespace from all lines
"""
import os
csvs = ['data/' + f for f in os.listdir('data') if f.endswith('.csv')]
for f in csvs:
lf = f.lower()
o... | 19.366667 | 70 | 0.650602 |
1f4a0b28023170a365cdcc71fab67b6fb8261389 | 2,929 | py | Python | admin/sandbox.py | liuhh02/NERDA | 7488d0c5adf3eb5296b1b276b412b95131557097 | [
"MIT"
] | 123 | 2020-12-19T09:36:28.000Z | 2022-03-20T11:01:02.000Z | admin/sandbox.py | liuhh02/NERDA | 7488d0c5adf3eb5296b1b276b412b95131557097 | [
"MIT"
] | 35 | 2021-02-14T09:46:11.000Z | 2022-03-31T09:57:38.000Z | admin/sandbox.py | liuhh02/NERDA | 7488d0c5adf3eb5296b1b276b412b95131557097 | [
"MIT"
] | 30 | 2021-01-28T11:02:31.000Z | 2022-03-06T19:58:27.000Z | from NERDA.models import NERDA
from NERDA.datasets import get_conll_data, get_dane_data
from transformers import AutoTokenizer
trans = 'bert-base-multilingual-uncased'
tokenizer = AutoTokenizer.from_pretrained(trans, do_lower_case = True)
data = get_dane_data('train')
sents = data.get('sentences')
out = []
for sent ... | 26.627273 | 79 | 0.714237 |
1f4f35f139c907b889c9bfaceea5f2502d416ae2 | 2,099 | py | Python | ironic/tests/drivers/test_base.py | Tehsmash/ironic | a34c351639e960af92a3608fbc9249dfce5c6057 | [
"Apache-2.0"
] | null | null | null | ironic/tests/drivers/test_base.py | Tehsmash/ironic | a34c351639e960af92a3608fbc9249dfce5c6057 | [
"Apache-2.0"
] | null | null | null | ironic/tests/drivers/test_base.py | Tehsmash/ironic | a34c351639e960af92a3608fbc9249dfce5c6057 | [
"Apache-2.0"
] | null | null | null | # Copyright 2014 Cisco Systems, Inc.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requi... | 30.867647 | 78 | 0.697475 |
1f51deb831801cb409889edbf97a6deabae048a4 | 1,368 | py | Python | quantiphyse/packages/core/analysis/__init__.py | physimals/quantiphyse | bd3be0098b9929b1987fe0f23e515fa70674b3d4 | [
"Apache-2.0"
] | 9 | 2021-02-01T06:44:31.000Z | 2022-01-17T15:46:40.000Z | quantiphyse/packages/core/analysis/__init__.py | ibme-qubic/quantiphyse | 34f40424941414ce139c4612a903de3f24883576 | [
"Apache-2.0"
] | 34 | 2019-02-04T10:47:02.000Z | 2020-08-13T09:36:52.000Z | quantiphyse/packages/core/analysis/__init__.py | ibme-qubic/quantiphyse | 34f40424941414ce139c4612a903de3f24883576 | [
"Apache-2.0"
] | 2 | 2019-05-25T08:52:05.000Z | 2020-06-18T13:59:00.000Z | """
Quantiphyse - Analysis widgets
Copyright (c) 2013-2020 University of Oxford
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 a... | 47.172414 | 123 | 0.811404 |
1f528ea187b09ea162a161716dde9aff8b7b565d | 1,042 | py | Python | examples/chain_mdp.py | kngwyu/rlpy | 329166de28d311d8f87358a62c38f40a7318fe07 | [
"BSD-3-Clause"
] | 3 | 2019-12-07T13:34:02.000Z | 2021-03-29T10:20:05.000Z | examples/chain_mdp.py | kngwyu/rlpy | 329166de28d311d8f87358a62c38f40a7318fe07 | [
"BSD-3-Clause"
] | 14 | 2019-09-29T03:09:09.000Z | 2022-01-13T03:17:48.000Z | examples/chain_mdp.py | kngwyu/rlpy3 | 329166de28d311d8f87358a62c38f40a7318fe07 | [
"BSD-3-Clause"
] | null | null | null | import click
from rlpy.domains import ChainMDP
from rlpy.tools.cli import run_experiment
import methods
if __name__ == "__main__":
run_experiment(
select_domain,
select_agent,
default_max_steps=10000,
default_num_policy_checks=10,
default_checks_per_policy=50,
ot... | 28.944444 | 76 | 0.681382 |
1f5495f299c3cac72ffba7fb46905bf9c811295d | 694 | py | Python | migrations/versions/6e2656ef034b_.py | haichungcn/h-ticketbox | 37d3a3054a92fbb3702cac10f87621762b68bae2 | [
"Apache-2.0"
] | null | null | null | migrations/versions/6e2656ef034b_.py | haichungcn/h-ticketbox | 37d3a3054a92fbb3702cac10f87621762b68bae2 | [
"Apache-2.0"
] | 1 | 2021-06-02T00:42:03.000Z | 2021-06-02T00:42:03.000Z | migrations/versions/6e2656ef034b_.py | haichungcn/h-ticketbox | 37d3a3054a92fbb3702cac10f87621762b68bae2 | [
"Apache-2.0"
] | null | null | null | """empty message
Revision ID: 6e2656ef034b
Revises: f8f949ce4522
Create Date: 2019-11-26 11:05:54.376467
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '6e2656ef034b'
down_revision = 'f8f949ce4522'
branch_labels = None
depends_on = None
| 23.931034 | 80 | 0.708934 |
1f54a8fce56dc2266fdcba4960db2d6b32f72f6a | 1,940 | py | Python | python/heterocl/mlir/context.py | chhzh123/heterocl | 856e9b8ad877d11280a7e457e91ca89803c05570 | [
"Apache-2.0"
] | null | null | null | python/heterocl/mlir/context.py | chhzh123/heterocl | 856e9b8ad877d11280a7e457e91ca89803c05570 | [
"Apache-2.0"
] | null | null | null | python/heterocl/mlir/context.py | chhzh123/heterocl | 856e9b8ad877d11280a7e457e91ca89803c05570 | [
"Apache-2.0"
] | null | null | null | from contextvars import ContextVar
from hcl_mlir.dialects import hcl as hcl_d
from hcl_mlir.ir import *
ImperativeLoopNestCount = ContextVar("ImperativeLoopNestCount", default=1)
ImperativeLoopDepth = ContextVar("ImperativeLoopDepth", default=0)
StageName = ContextVar("StageName", default="")
NestedCompute = ContextV... | 27.714286 | 79 | 0.619588 |
1f572ce92d4767535e92d6069a13c0b878ad4d2b | 1,216 | py | Python | 378. Kth Smallest Element in a Sorted Matrix.py | XinchaoGou/MyLeetCode | bba0ab077374f7da2cb1a990266bc59fa7ddf23c | [
"MIT"
] | null | null | null | 378. Kth Smallest Element in a Sorted Matrix.py | XinchaoGou/MyLeetCode | bba0ab077374f7da2cb1a990266bc59fa7ddf23c | [
"MIT"
] | null | null | null | 378. Kth Smallest Element in a Sorted Matrix.py | XinchaoGou/MyLeetCode | bba0ab077374f7da2cb1a990266bc59fa7ddf23c | [
"MIT"
] | null | null | null | from typing import List
import heapq
#
#
#
| 27.022222 | 66 | 0.449836 |
1f5755adc834fa964d8b57abac91fbc6499d9935 | 4,608 | py | Python | menucard/migrations/0001_initial.py | baniasbaabe/happy-qr | bf44ac19306ea6405cc7c9a100e6f83afca125b4 | [
"MIT"
] | 1 | 2021-01-23T21:42:10.000Z | 2021-01-23T21:42:10.000Z | menucard/migrations/0001_initial.py | baniasbaabe/happy-qr | bf44ac19306ea6405cc7c9a100e6f83afca125b4 | [
"MIT"
] | null | null | null | menucard/migrations/0001_initial.py | baniasbaabe/happy-qr | bf44ac19306ea6405cc7c9a100e6f83afca125b4 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.2 on 2020-12-27 10:36
from django.db import migrations, models
import django.db.models.deletion
import phonenumber_field.modelfields
| 48 | 128 | 0.567491 |
1f5774372518e14045e4add17d37c16fbf360cfe | 10,289 | py | Python | episim/model.py | jm-begon/episim | 705f80b782c5653a0d8b6e53614f34c12917cb43 | [
"BSD-3-Clause"
] | null | null | null | episim/model.py | jm-begon/episim | 705f80b782c5653a0d8b6e53614f34c12917cb43 | [
"BSD-3-Clause"
] | null | null | null | episim/model.py | jm-begon/episim | 705f80b782c5653a0d8b6e53614f34c12917cb43 | [
"BSD-3-Clause"
] | null | null | null | import os
import datetime
from collections import defaultdict
import numpy as np
from scipy import sparse
from episim.ontology import Ontology
from episim.plot.modeling import System, Accumulator
from .data import State
def _compute_reproduction_number(self, n_susceptible, n_total):
return 0
... | 26.180662 | 80 | 0.57197 |
1f57dbdd7653a2a24621940b5ab48570df0a2af1 | 4,620 | py | Python | pytorch/camera_intrinsics.py | abdur4373/ROS_depth_pred | 63ed4d97df8b49a43aad53c4c6bf01441f05153d | [
"MIT"
] | 1 | 2019-06-29T07:48:31.000Z | 2019-06-29T07:48:31.000Z | pytorch/camera_intrinsics.py | abdur4373/ROS_depth_pred | 63ed4d97df8b49a43aad53c4c6bf01441f05153d | [
"MIT"
] | null | null | null | pytorch/camera_intrinsics.py | abdur4373/ROS_depth_pred | 63ed4d97df8b49a43aad53c4c6bf01441f05153d | [
"MIT"
] | null | null | null | import numpy as np
from sensor_msgs.msg import CameraInfo, RegionOfInterest
from std_msgs.msg import Header
CameraIntrinsics()
| 28.695652 | 96 | 0.534632 |
1f581484e57d7f06ab12a83feeb46bea44a7e7c3 | 327 | py | Python | app/logger.py | d3vzer0/reternal-backend | aeeb613c820759212e7aef9150738a66b2882d50 | [
"MIT"
] | 6 | 2019-01-01T23:38:12.000Z | 2021-07-27T03:43:11.000Z | app/logger.py | d3vzer0/kickstart-flask-vuejs | 562a829d3f3b87488035719025f2d29b4fe33a89 | [
"MIT"
] | 1 | 2020-08-02T00:21:41.000Z | 2020-08-02T00:21:41.000Z | app/logger.py | d3vzer0/kickstart-flask-vuejs | 562a829d3f3b87488035719025f2d29b4fe33a89 | [
"MIT"
] | 1 | 2021-07-27T03:43:24.000Z | 2021-07-27T03:43:24.000Z | import logging
from logging.handlers import SysLogHandler
# Logging environment that can be used by the application to output syslog
logging_object = logging.getLogger(__name__)
logging_object.setLevel(logging.INFO)
syslog_handler = logging.handlers.SysLogHandler(address='/dev/log')
logging_object.addHandler(syslog_ha... | 36.333333 | 74 | 0.844037 |
1f5af941019a09b58bc8c7a46b832a62890985af | 2,446 | py | Python | db/schema.py | aatrubilin/sqlalchemy_sessions | 8f99c3bf42da7224bbb6622ab23222ee1ebf1627 | [
"MIT"
] | null | null | null | db/schema.py | aatrubilin/sqlalchemy_sessions | 8f99c3bf42da7224bbb6622ab23222ee1ebf1627 | [
"MIT"
] | null | null | null | db/schema.py | aatrubilin/sqlalchemy_sessions | 8f99c3bf42da7224bbb6622ab23222ee1ebf1627 | [
"MIT"
] | null | null | null | import logging
from datetime import datetime
import sqlalchemy as sa
import sqlalchemy.orm as so
from .base import Base, Session
__all__ = ["User", "Message"]
logger = logging.getLogger(__name__)
| 27.795455 | 95 | 0.629191 |
1f5bf93e6d736ffce8e14bcf71e0ff664aca6f6a | 553 | py | Python | tests/private/test_uber_string_formatter.py | odedlaz-oss/uberlogs | 09658f6ee98b4018c1c3620f56973fcdadb260d5 | [
"MIT"
] | null | null | null | tests/private/test_uber_string_formatter.py | odedlaz-oss/uberlogs | 09658f6ee98b4018c1c3620f56973fcdadb260d5 | [
"MIT"
] | null | null | null | tests/private/test_uber_string_formatter.py | odedlaz-oss/uberlogs | 09658f6ee98b4018c1c3620f56973fcdadb260d5 | [
"MIT"
] | null | null | null | import six
from unittest import TestCase
from uberlogs.private import UberStringFormatter
| 29.105263 | 73 | 0.750452 |
1f5c32e422bbc6af249f8c6cdbc7e36215c76758 | 371 | py | Python | testapp/models.py | andrewyoung1991/django-redis-pubsub | 6ec9467528919a20bc9db6ebe94d5929ddd028a6 | [
"BSD-3-Clause"
] | 21 | 2016-02-11T06:04:48.000Z | 2021-12-27T07:02:28.000Z | testapp/models.py | kashyap2108/django-redis-pubsub | 6ec9467528919a20bc9db6ebe94d5929ddd028a6 | [
"BSD-3-Clause"
] | 3 | 2020-05-17T13:53:50.000Z | 2021-06-10T20:38:34.000Z | testapp/models.py | kashyap2108/django-redis-pubsub | 6ec9467528919a20bc9db6ebe94d5929ddd028a6 | [
"BSD-3-Clause"
] | 8 | 2016-02-05T20:17:43.000Z | 2020-07-14T17:10:20.000Z | from django.conf import settings
from django.db import models
from redis_pubsub.models import PublishableModel
| 21.823529 | 59 | 0.752022 |
1f5d11bfac525af7eaa9a4069790c1ad9c1d4423 | 10,602 | py | Python | src/phat/thold.py | rskene/phat | 84a946e1e638642f36ce5fd81dc85aa89f7b66f0 | [
"MIT"
] | 2 | 2021-07-23T11:34:21.000Z | 2022-01-09T17:22:45.000Z | src/phat/thold.py | rjskene/phat | 84a946e1e638642f36ce5fd81dc85aa89f7b66f0 | [
"MIT"
] | 3 | 2022-01-18T09:27:16.000Z | 2022-01-18T09:28:43.000Z | src/phat/thold.py | rskene/phat | 84a946e1e638642f36ce5fd81dc85aa89f7b66f0 | [
"MIT"
] | null | null | null | from functools import wraps
from typing import Iterable
import numpy as np
import scipy.stats as scist
import matplotlib.pyplot as plt
from rpy2.robjects.packages import importr
from rpy2.robjects.vectors import FloatVector
from phat.utils import argsetter
base = importr('base')
utils = importr('utils')
utils.choos... | 36.940767 | 131 | 0.54518 |
1f5e5337671f2aa26669d1f985e1feb6f9bb2487 | 3,075 | py | Python | app/eventFrameTemplates/forms.py | DeschutesBrewery/brewerypi | 5459dfc6b1ed415920c13a8a7c9a2d3d3c82099f | [
"MIT"
] | 27 | 2017-11-27T05:01:05.000Z | 2020-11-14T19:52:26.000Z | app/eventFrameTemplates/forms.py | DeschutesBrewery/brewerypi | 5459dfc6b1ed415920c13a8a7c9a2d3d3c82099f | [
"MIT"
] | 259 | 2017-11-23T00:43:26.000Z | 2020-11-03T01:07:30.000Z | app/eventFrameTemplates/forms.py | DeschutesBrewery/brewerypi | 5459dfc6b1ed415920c13a8a7c9a2d3d3c82099f | [
"MIT"
] | 8 | 2018-10-29T04:39:29.000Z | 2020-10-01T22:18:12.000Z | from flask_wtf import FlaskForm
from wtforms import HiddenField, IntegerField, SelectField, StringField, SubmitField, ValidationError
from wtforms.validators import Length, Required
from .. models import EventFrameTemplate
| 45.220588 | 152 | 0.766504 |
1f605b59e4b42a83b06301dd95460d66a85a140f | 3,751 | py | Python | flask_demo.py | tlinc/cyber-ng-18 | 40dd088b5785e75e59afded17f71ea50d64ae77f | [
"MIT"
] | null | null | null | flask_demo.py | tlinc/cyber-ng-18 | 40dd088b5785e75e59afded17f71ea50d64ae77f | [
"MIT"
] | null | null | null | flask_demo.py | tlinc/cyber-ng-18 | 40dd088b5785e75e59afded17f71ea50d64ae77f | [
"MIT"
] | null | null | null | import os
from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes
from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives.kdf.pbkdf2 import PBKDF2HMAC
from cryptography.hazmat.backends import default_backend
from stegano import lsb
from flask import Flask, render_te... | 27.379562 | 76 | 0.643295 |
1f61bacc0966d711145c05f1a6526934fd3ce1d0 | 1,585 | py | Python | ex0095.py | EwertonRosendo/PastaDeExercicios | 68d23194b87ce1c8405c70fcceb3378955815d7d | [
"MIT"
] | null | null | null | ex0095.py | EwertonRosendo/PastaDeExercicios | 68d23194b87ce1c8405c70fcceb3378955815d7d | [
"MIT"
] | null | null | null | ex0095.py | EwertonRosendo/PastaDeExercicios | 68d23194b87ce1c8405c70fcceb3378955815d7d | [
"MIT"
] | null | null | null | jogador = dict()
lista_de_jogadores = []
lista = []
print("_"*38)
contador = 0
while True:
jogador["nome"] = str(input("Informe o nome do jogador: ")).strip()
jogador["partidas"] = int(input("Informe quantas partidas foram jogadas: "))
jogador["gols marcados"] = []
for c in range(0, jogador["partidas"])... | 40.641026 | 83 | 0.620189 |
1f6205c1effd40848344000bccb696a977da03f4 | 954 | py | Python | app/stock/apps.py | shift37/asx_gym | dd3d8dafae4f22ab9c9027bf362013255dbc6c36 | [
"RSA-MD"
] | null | null | null | app/stock/apps.py | shift37/asx_gym | dd3d8dafae4f22ab9c9027bf362013255dbc6c36 | [
"RSA-MD"
] | 3 | 2020-06-06T08:27:08.000Z | 2020-06-13T09:51:26.000Z | app/stock/apps.py | asxgym/asx_gym | 8b7745820c0d4cd59281acf7c003ec1f1938005a | [
"RSA-MD"
] | null | null | null | from django.apps import AppConfig
import logging
logger = logging.getLogger(__name__)
| 38.16 | 74 | 0.72327 |
1f634bdb1c7a7c3154dda573b13beb16dfe4e289 | 8,568 | py | Python | slide/models.py | AICAN-Research/learn-pathology | 663f9c5f125857badf5bb41b6bfa2d9100578e2e | [
"MIT"
] | 2 | 2021-09-16T08:38:10.000Z | 2021-09-16T10:46:53.000Z | slide/models.py | AICAN-Research/learn-pathology | 663f9c5f125857badf5bb41b6bfa2d9100578e2e | [
"MIT"
] | 6 | 2021-09-20T10:56:21.000Z | 2022-01-05T08:25:17.000Z | slide/models.py | AICAN-Research/learn-pathology | 663f9c5f125857badf5bb41b6bfa2d9100578e2e | [
"MIT"
] | null | null | null | import threading
from io import BytesIO
from django.db import models
import fast
import time
import numpy as np
from PIL import Image
from django.conf import settings
from slide.timing import Timer
from tag.models import Tag
class AnnotatedSlide(models.Model):
"""
Model for an annotated slide.
A slide ca... | 38.25 | 152 | 0.615079 |
1f641a14add400abd8e0ed7c75835db3c0d6d277 | 742 | py | Python | xpresso/_utils/endpoint_dependant.py | adriangb/xpresso | 43fcc360f7b19c00e0b78480f96390bcb4d28053 | [
"MIT"
] | 75 | 2022-01-18T02:17:57.000Z | 2022-03-24T02:30:04.000Z | xpresso/_utils/endpoint_dependant.py | adriangb/xpresso | 43fcc360f7b19c00e0b78480f96390bcb4d28053 | [
"MIT"
] | 73 | 2022-01-18T03:01:27.000Z | 2022-03-27T16:41:38.000Z | xpresso/_utils/endpoint_dependant.py | adriangb/xpresso | 43fcc360f7b19c00e0b78480f96390bcb4d28053 | [
"MIT"
] | 3 | 2022-01-18T22:47:06.000Z | 2022-01-25T02:03:53.000Z | from __future__ import annotations
import typing
from di.api.providers import CallableProvider, CoroutineProvider
from di.dependant import Dependant
from xpresso.dependencies._dependencies import Depends, DependsMarker
Endpoint = typing.Union[CallableProvider[typing.Any], CoroutineProvider[typing.Any]]
| 25.586207 | 84 | 0.677898 |
1f643bc3dbbf8bbb68623cedf5db93412e8053a1 | 554 | py | Python | MkSSensor.py | MakeSenseCorp/mksdk-py | 3466124288c3a89effa0e918c2f310e25db17e0e | [
"Apache-2.0"
] | null | null | null | MkSSensor.py | MakeSenseCorp/mksdk-py | 3466124288c3a89effa0e918c2f310e25db17e0e | [
"Apache-2.0"
] | 7 | 2018-02-19T12:15:46.000Z | 2018-05-04T23:02:12.000Z | MkSSensor.py | MakeSenseCorp/mksdk-py | 3466124288c3a89effa0e918c2f310e25db17e0e | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
| 24.086957 | 135 | 0.566787 |
1f6482191a91e02ca740cd105cd4bb4ccfd6872b | 1,010 | py | Python | tuples.py | ShuhaoZQGG/Python-Very-Beginner-to-Very-Intermediate | cfad98b1c1c175761d3a68861438562f7d410cb0 | [
"MIT"
] | null | null | null | tuples.py | ShuhaoZQGG/Python-Very-Beginner-to-Very-Intermediate | cfad98b1c1c175761d3a68861438562f7d410cb0 | [
"MIT"
] | null | null | null | tuples.py | ShuhaoZQGG/Python-Very-Beginner-to-Very-Intermediate | cfad98b1c1c175761d3a68861438562f7d410cb0 | [
"MIT"
] | null | null | null |
mytuple = ("Max", 28, "Boston")
print(mytuple)
print(type(mytuple))
mytuple2 = ("Max") ## , is needed before the closing paranthese if only one string
print(mytuple2)
print(type(mytuple2))
mt3 = tuple(["Max", 28, "Boston"]) ## mt indicates mytuple + number
print(mt3)
print(type(m... | 17.413793 | 104 | 0.620792 |
1f64ad352e9b9691d83fdce5ed744e84a89c5372 | 13,330 | py | Python | create_pretraining_data_lm.py | twilightdema/ALBERT_Thai | 2c5612237a6843c4949dd941dbcd01ca91f82f2b | [
"Apache-2.0"
] | null | null | null | create_pretraining_data_lm.py | twilightdema/ALBERT_Thai | 2c5612237a6843c4949dd941dbcd01ca91f82f2b | [
"Apache-2.0"
] | 4 | 2020-09-25T22:35:29.000Z | 2022-02-09T23:37:24.000Z | create_pretraining_data_lm.py | twilightdema/ALBERT_Thai | 2c5612237a6843c4949dd941dbcd01ca91f82f2b | [
"Apache-2.0"
] | 1 | 2020-10-17T01:36:03.000Z | 2020-10-17T01:36:03.000Z | # coding=utf-8
# Copyright 2018 The Google AI Team Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 33.076923 | 117 | 0.692798 |
1f6706c7305503eebcfb4dc0e941eec4fd99c3fd | 3,260 | py | Python | src/libcore/tests/test_qmc.py | tizian/layer-laboratory | 008cc94b76127e9eb74227fcd3d0145da8ddec30 | [
"CNRI-Python"
] | 7 | 2020-07-24T03:19:59.000Z | 2022-03-30T10:56:12.000Z | src/libcore/tests/test_qmc.py | tizian/layer-laboratory | 008cc94b76127e9eb74227fcd3d0145da8ddec30 | [
"CNRI-Python"
] | 1 | 2021-04-07T22:30:23.000Z | 2021-04-08T00:55:36.000Z | src/libcore/tests/test_qmc.py | tizian/layer-laboratory | 008cc94b76127e9eb74227fcd3d0145da8ddec30 | [
"CNRI-Python"
] | 2 | 2020-06-08T08:25:09.000Z | 2021-04-05T22:13:08.000Z | import enoki as ek
import pytest
import mitsuba
| 28.347826 | 74 | 0.60184 |
1f69bfc2c5f28e5c08c2ff64bb83de310333e32a | 14,656 | py | Python | train.py | ColinWine/Multi-modal-Multi-label-Facial-Action-Unit-Detection-with-Transformer | 93871bed9078d5bf6b4bb37407c9dce87c569b55 | [
"MIT"
] | null | null | null | train.py | ColinWine/Multi-modal-Multi-label-Facial-Action-Unit-Detection-with-Transformer | 93871bed9078d5bf6b4bb37407c9dce87c569b55 | [
"MIT"
] | null | null | null | train.py | ColinWine/Multi-modal-Multi-label-Facial-Action-Unit-Detection-with-Transformer | 93871bed9078d5bf6b4bb37407c9dce87c569b55 | [
"MIT"
] | null | null | null | import warnings
import torch
from torch.utils.data.dataloader import DataLoader
from torch.optim import lr_scheduler
import numpy as np
from models import *
from dataloader import Aff2CompDataset, SubsetSequentialSampler, SubsetRandomSampler, Prefetcher
from tqdm import tqdm
import os
import time
from sklearn.metrics i... | 42.604651 | 134 | 0.60917 |
1f6c4abc3f836e517354bb086cbc395ddcb5e9b2 | 251 | py | Python | utils.py | Ls-Dai/Pytorch_FL_CNN | 59bfd017dc21a4d11e7dafb382cdae3c57086071 | [
"MIT"
] | 3 | 2021-03-22T01:54:43.000Z | 2021-03-28T10:48:35.000Z | utils.py | Ls-Dai/Pytorch_FL_CNN | 59bfd017dc21a4d11e7dafb382cdae3c57086071 | [
"MIT"
] | null | null | null | utils.py | Ls-Dai/Pytorch_FL_CNN | 59bfd017dc21a4d11e7dafb382cdae3c57086071 | [
"MIT"
] | null | null | null | import os
"""def dir_setup(path):
if not os.path.isdir(path):
dir_setup(os.path.split(path)[0])
else:
return
os.mkdir(path)"""
| 17.928571 | 42 | 0.561753 |
1f6e05df1cdce06badd2f76abc8f4fd50f6739ab | 212 | py | Python | 1011 - Esfera.py | le16bits/URI---Python | 9d22ae74f008104bc9c3c0e2d5f8cd59303bc1db | [
"Apache-2.0"
] | null | null | null | 1011 - Esfera.py | le16bits/URI---Python | 9d22ae74f008104bc9c3c0e2d5f8cd59303bc1db | [
"Apache-2.0"
] | null | null | null | 1011 - Esfera.py | le16bits/URI---Python | 9d22ae74f008104bc9c3c0e2d5f8cd59303bc1db | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
'''Autor: Alessandra Souza
Data: 05/05/2017
Objetivo: Calcular o volume de uma esfera.
ID Urionlinejudge: 1011'''
R=float(input())
vol=((4.0/3)*3.14159)*R**3
print("VOLUME = %.3f" %vol)
| 21.2 | 42 | 0.646226 |
1f6f98de6468e928dedff399ac6db135e5b7f2ec | 18,002 | py | Python | src/agent.py | Lukeeeeee/DataCenterJobSchedulingSolution | 9c62c0039b2dd9e0a1ca5474dc46c8be98a972b3 | [
"MIT"
] | null | null | null | src/agent.py | Lukeeeeee/DataCenterJobSchedulingSolution | 9c62c0039b2dd9e0a1ca5474dc46c8be98a972b3 | [
"MIT"
] | null | null | null | src/agent.py | Lukeeeeee/DataCenterJobSchedulingSolution | 9c62c0039b2dd9e0a1ca5474dc46c8be98a972b3 | [
"MIT"
] | null | null | null | import numpy as np
import tensorflow as tf
import tensorlayer as tl
import datetime
from log import LOG_PATH
import os
import src.visualization as vis
from src.config import Config as con
import tensorflow.contrib as tfcontrib
server_count = con.server_count
server_state_dim = con.server_state_dim
total_server_state_d... | 47.750663 | 118 | 0.575436 |
1f704e7278b9ef779559e766cacb1ef676546a1a | 194 | py | Python | programmers/lv3/2n_tiling.py | mrbartrns/swacademy_structure | 778f0546030385237c383d81ec37d5bd9ed1272d | [
"MIT"
] | null | null | null | programmers/lv3/2n_tiling.py | mrbartrns/swacademy_structure | 778f0546030385237c383d81ec37d5bd9ed1272d | [
"MIT"
] | null | null | null | programmers/lv3/2n_tiling.py | mrbartrns/swacademy_structure | 778f0546030385237c383d81ec37d5bd9ed1272d | [
"MIT"
] | null | null | null | # 2 * n
print(solution(4)) | 19.4 | 52 | 0.469072 |
1f7102de5fec932b92f1cdaf56485f914e53929e | 79 | py | Python | pyup/settings.py | Callek/pyup | e29014320accdca2947b9e18c215d2144752081a | [
"MIT"
] | 445 | 2016-01-14T09:19:26.000Z | 2022-03-16T13:19:33.000Z | pyup/settings.py | Callek/pyup | e29014320accdca2947b9e18c215d2144752081a | [
"MIT"
] | 387 | 2015-12-28T09:54:32.000Z | 2022-01-04T00:45:00.000Z | pyup/settings.py | Callek/pyup | e29014320accdca2947b9e18c215d2144752081a | [
"MIT"
] | 96 | 2016-01-19T19:25:00.000Z | 2021-09-30T18:22:02.000Z | api_key = None
| 11.285714 | 24 | 0.670886 |
1f746fdd19456f3c70b06319cd8440bf69081a77 | 190 | py | Python | setup.py | alexisjihyeross/actionable-recourse | a00a0221484d1cf66ff6c0bcba6aaca2220bf9d1 | [
"BSD-3-Clause"
] | null | null | null | setup.py | alexisjihyeross/actionable-recourse | a00a0221484d1cf66ff6c0bcba6aaca2220bf9d1 | [
"BSD-3-Clause"
] | null | null | null | setup.py | alexisjihyeross/actionable-recourse | a00a0221484d1cf66ff6c0bcba6aaca2220bf9d1 | [
"BSD-3-Clause"
] | null | null | null | from setuptools import setup, find_packages
setup(
name="Recourse",
version="0.1.1",
packages=find_packages(),
install_requires=open('requirements.txt').read().split('\n')
) | 23.75 | 64 | 0.689474 |
1f74a2f22700c0cecd865a836091b95cf438f84d | 536 | py | Python | ch06/data.py | stoneflyop1/py_machine_learning | 18fd635d312f957ca4fcc23d856a1bcd4cf95f48 | [
"MIT"
] | null | null | null | ch06/data.py | stoneflyop1/py_machine_learning | 18fd635d312f957ca4fcc23d856a1bcd4cf95f48 | [
"MIT"
] | null | null | null | ch06/data.py | stoneflyop1/py_machine_learning | 18fd635d312f957ca4fcc23d856a1bcd4cf95f48 | [
"MIT"
] | null | null | null | import pandas as pd
#####################
# Load Dataset
# https://archive.ics.uci.edu/ml/machine-learning-databases/breast-cancer-wisconsin/wdbc.data
df = pd.read_csv('../data/wdbc.data', header=None)
from sklearn.preprocessing import LabelEncoder
X = df.loc[:, 2:].values
y = df.loc[:,1].values
le = LabelEncoder()
... | 28.210526 | 93 | 0.699627 |
1f75dc40de3440e94dfc62ec31434b5e0206507e | 733 | py | Python | src/tga_to_jpg.py | NicolasGrosjean/HoI4_Stats | b2b6341e8a0b400255302b277407ea33c1a9833f | [
"MIT"
] | null | null | null | src/tga_to_jpg.py | NicolasGrosjean/HoI4_Stats | b2b6341e8a0b400255302b277407ea33c1a9833f | [
"MIT"
] | null | null | null | src/tga_to_jpg.py | NicolasGrosjean/HoI4_Stats | b2b6341e8a0b400255302b277407ea33c1a9833f | [
"MIT"
] | null | null | null | import argparse
import os
from PIL import Image
if __name__ == '__main__':
args = get_args()
os.makedirs(args.output_dir, exist_ok=True)
for file in os.listdir(args.input_dir):
if file.endswith('.tga'):
im = Image.open(os.path.join(args.input_dir, file))
rgb_im = im.conver... | 34.904762 | 101 | 0.682128 |
1f7833d48966d1ed49519df9d13f101196d3956c | 3,057 | py | Python | db/csvs_test_examples/project/project_availability/project_availability_types/doc.py | souissim/gridpath | 4eeca2be24b485edc56026e38cfda83f4a6b27ea | [
"Apache-2.0"
] | 44 | 2020-10-27T19:05:44.000Z | 2022-03-22T17:17:37.000Z | db/csvs_test_examples/project/project_availability/project_availability_types/doc.py | souissim/gridpath | 4eeca2be24b485edc56026e38cfda83f4a6b27ea | [
"Apache-2.0"
] | 67 | 2020-10-08T22:36:53.000Z | 2022-03-22T22:58:33.000Z | db/csvs_test_examples/project/project_availability/project_availability_types/doc.py | souissim/gridpath | 4eeca2be24b485edc56026e38cfda83f4a6b27ea | [
"Apache-2.0"
] | 21 | 2020-10-08T23:23:48.000Z | 2022-03-28T01:21:21.000Z | # Copyright 2016-2020 Blue Marble Analytics 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 ag... | 51.813559 | 81 | 0.669284 |
1f78bf747e413822fce9fdf17d1c1fc1b0c7a165 | 3,052 | py | Python | src/construction_finder/coderack.py | juliakzn/construction_finder | 92e9f044163fbe8bde3a6c5f9ec125a7ecf96de8 | [
"MIT"
] | null | null | null | src/construction_finder/coderack.py | juliakzn/construction_finder | 92e9f044163fbe8bde3a6c5f9ec125a7ecf96de8 | [
"MIT"
] | null | null | null | src/construction_finder/coderack.py | juliakzn/construction_finder | 92e9f044163fbe8bde3a6c5f9ec125a7ecf96de8 | [
"MIT"
] | null | null | null | import logging
import random
from typing import Dict, List, Tuple, Union
from construction_finder import codelets, frame
logger = logging.getLogger(f"{__name__}")
| 35.08046 | 118 | 0.656619 |
1f7babebb7eb438c1f113d421ddd85e8d4dce5ed | 1,713 | py | Python | configuration.py | ewellchen/STIN | 0612a0b56d8caf1f8771ce13a3d8827d26a38f30 | [
"MIT"
] | null | null | null | configuration.py | ewellchen/STIN | 0612a0b56d8caf1f8771ce13a3d8827d26a38f30 | [
"MIT"
] | null | null | null | configuration.py | ewellchen/STIN | 0612a0b56d8caf1f8771ce13a3d8827d26a38f30 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Default configurations of model configuration, training.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os.path as osp
from typing import Dict
CONFIG = {
'is_train': True,
... | 23.148649 | 65 | 0.549329 |
1f7d838dc8f88dc8eef76ebba1d92fdbf66fdaf5 | 54,959 | py | Python | util/configurejson2cmake.py | chentoz/occQt | 9738c26a18ac7757201342a69f95483d435a39fa | [
"MIT"
] | null | null | null | util/configurejson2cmake.py | chentoz/occQt | 9738c26a18ac7757201342a69f95483d435a39fa | [
"MIT"
] | null | null | null | util/configurejson2cmake.py | chentoz/occQt | 9738c26a18ac7757201342a69f95483d435a39fa | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
#############################################################################
##
## Copyright (C) 2018 The Qt Company Ltd.
## Contact: https://www.qt.io/licensing/
##
## This file is part of the plugins of the Qt Toolkit.
##
## $QT_BEGIN_LICENSE:GPL-EXCEPT$
## Commercial License Usage
## Licensee... | 34.608942 | 147 | 0.580251 |
1f7e10137722c6fcc224fdac359159dee3d532fc | 819 | py | Python | easy_scrapy/2_beautifulsoup/bs4_3_regex.py | cyfu/web_scrapying | b59a75d3db289032bb9005f062470e8ce745539a | [
"MIT"
] | null | null | null | easy_scrapy/2_beautifulsoup/bs4_3_regex.py | cyfu/web_scrapying | b59a75d3db289032bb9005f062470e8ce745539a | [
"MIT"
] | null | null | null | easy_scrapy/2_beautifulsoup/bs4_3_regex.py | cyfu/web_scrapying | b59a75d3db289032bb9005f062470e8ce745539a | [
"MIT"
] | null | null | null | from bs4 import BeautifulSoup
from urllib.request import urlopen
import re
# open and read web page, decode it if it contains Chinese
html = urlopen('https://mofanpy.com/static/scraping/table.html').read().decode('utf-8')
print(html)
# 'lxml' is parser name
soup = BeautifulSoup(html, features='lxml')
# search by tag... | 32.76 | 87 | 0.693529 |
1f839d58efbf61c5507f3e11ca4b447b2e8e7b82 | 1,826 | py | Python | ssrlsim/scripts/start_RE.py | tangkong/ssrlsim | 62f8a07989ebc187ecf6d2dc3bd8d97ae4c56536 | [
"BSD-3-Clause"
] | null | null | null | ssrlsim/scripts/start_RE.py | tangkong/ssrlsim | 62f8a07989ebc187ecf6d2dc3bd8d97ae4c56536 | [
"BSD-3-Clause"
] | 2 | 2020-06-18T05:18:15.000Z | 2021-09-08T21:44:29.000Z | ssrlsim/scripts/start_RE.py | tangkong/ssrlsim | 62f8a07989ebc187ecf6d2dc3bd8d97ae4c56536 | [
"BSD-3-Clause"
] | null | null | null | import os
import matplotlib
# get_ipython().run_line_magic("matplotlib", "widget") # i.e. %matplotlib widget
import matplotlib.pyplot as plt
from ophyd import Device, Component, EpicsSignal
from ophyd.signal import EpicsSignalBase
from ophyd.areadetector.filestore_mixins import resource_factory
import uuid
import os... | 24.675676 | 81 | 0.793538 |
1f85f7ae96d69285ca7b29169676435a4ce6e57d | 5,021 | py | Python | snakeskin/protos/peer/peer_pb2.py | healthverity/snakeskin-fabric | 31ba7fa5a71445eba76f89723c998d603704e0f9 | [
"Apache-2.0"
] | 5 | 2019-08-08T17:16:02.000Z | 2021-05-15T07:28:31.000Z | snakeskin/protos/peer/peer_pb2.py | healthverity/snakeskin-fabric | 31ba7fa5a71445eba76f89723c998d603704e0f9 | [
"Apache-2.0"
] | 4 | 2019-08-20T15:07:12.000Z | 2020-07-31T17:50:51.000Z | snakeskin/protos/peer/peer_pb2.py | healthverity/snakeskin-fabric | 31ba7fa5a71445eba76f89723c998d603704e0f9 | [
"Apache-2.0"
] | 2 | 2019-08-20T15:22:48.000Z | 2019-12-17T19:38:55.000Z | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: snakeskin/protos/peer/peer.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from ... | 34.390411 | 550 | 0.768174 |
1f8ae5e3724e8e2ef10be9cc46bc0a4381cac952 | 3,236 | py | Python | tests/test_models/test_place.py | lepc1972/AirBnB_clone | 3ba7f0332e926ff7715272866a00d3a23341b3c3 | [
"MIT"
] | 2 | 2021-07-16T01:07:40.000Z | 2021-07-16T01:23:15.000Z | tests/test_models/test_place.py | lepc1972/AirBnB_clone | 3ba7f0332e926ff7715272866a00d3a23341b3c3 | [
"MIT"
] | null | null | null | tests/test_models/test_place.py | lepc1972/AirBnB_clone | 3ba7f0332e926ff7715272866a00d3a23341b3c3 | [
"MIT"
] | 1 | 2021-07-09T01:41:16.000Z | 2021-07-09T01:41:16.000Z | #!/usr/bin/python3
'''
test for the place model here.
'''
import unittest
from models.base_model import BaseModel
from models.place import Place
| 28.637168 | 70 | 0.603523 |
1f8af70835313ee879d71169d774cac9ba7f41c9 | 1,714 | py | Python | app/__init__.py | zjyfdu/flask_huxiaofei | 2193bfe0aa45626fdb4b270f7532a1e04c5be556 | [
"MIT"
] | null | null | null | app/__init__.py | zjyfdu/flask_huxiaofei | 2193bfe0aa45626fdb4b270f7532a1e04c5be556 | [
"MIT"
] | null | null | null | app/__init__.py | zjyfdu/flask_huxiaofei | 2193bfe0aa45626fdb4b270f7532a1e04c5be556 | [
"MIT"
] | null | null | null | from flask import Flask
from flask_bootstrap import Bootstrap
from flask_mail import Mail
from flask_moment import Moment
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy import MetaData
from flask_login import LoginManager
from flask_msearch import Search
from config import config
from jieba.analyse import Chin... | 28.566667 | 72 | 0.757876 |
1f8f15b75dc5ee4ca1fc697ef1e5c0863cf598a7 | 1,893 | py | Python | easyTCP/CLIENT/backend/Protocol.py | dsal3389/easyTCP | 0a11ffe4726bfd0461c24fa459e417fd2fe3cd7f | [
"MIT"
] | 4 | 2018-12-09T13:57:59.000Z | 2019-10-19T19:34:28.000Z | easyTCP/CLIENT/backend/Protocol.py | dsal3389/easyTCP | 0a11ffe4726bfd0461c24fa459e417fd2fe3cd7f | [
"MIT"
] | null | null | null | easyTCP/CLIENT/backend/Protocol.py | dsal3389/easyTCP | 0a11ffe4726bfd0461c24fa459e417fd2fe3cd7f | [
"MIT"
] | null | null | null | import asyncio
import json
from ..utils import DEFAULT_SETTINGS
from ..utils.DEFAULT_ENCRYPTION import SERVER_encryption, CLIENT_encryption
| 36.403846 | 111 | 0.661912 |
1f8f9e391109c41227336b2bb762cb77a40123c1 | 6,413 | py | Python | src/harvester.py | bmoxon/azfinsim | 3e203855410abd6c9636377b93ed5d33ac896c41 | [
"MIT"
] | 5 | 2021-02-24T19:10:34.000Z | 2022-02-24T21:11:24.000Z | src/harvester.py | bmoxon/azfinsim | 3e203855410abd6c9636377b93ed5d33ac896c41 | [
"MIT"
] | null | null | null | src/harvester.py | bmoxon/azfinsim | 3e203855410abd6c9636377b93ed5d33ac896c41 | [
"MIT"
] | 2 | 2021-05-03T11:57:31.000Z | 2021-12-09T10:24:29.000Z | #! /usr/bin/env python3
#-- harvest scheduler that runs on the compute pool nodes
import argparse
import time
import sys
import logging
import os
import psutil
from applicationinsights import TelemetryClient
from applicationinsights.logging import LoggingHandler
from getargs import getargs
import azlog
azlog.color=... | 34.478495 | 127 | 0.626072 |
1f8faaab50ba1792d26b495c5cba37135b67c989 | 7,758 | py | Python | old/model.py | samhippie/shallow-red | 5690cdf380c6e138e25d88e85093738951438298 | [
"MIT"
] | null | null | null | old/model.py | samhippie/shallow-red | 5690cdf380c6e138e25d88e85093738951438298 | [
"MIT"
] | null | null | null | old/model.py | samhippie/shallow-red | 5690cdf380c6e138e25d88e85093738951438298 | [
"MIT"
] | 1 | 2020-03-13T12:53:35.000Z | 2020-03-13T12:53:35.000Z | #!/usr/bin/env python3
#loading tf is slow, so don't do it unless we're using it
USE_TENSORFLOW = False
import collections
import numpy as np
import os
import pickle
if USE_TENSORFLOW:
import tensorflow as tf
from tensorflow import keras
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
import modelInput
#use... | 37.298077 | 130 | 0.620907 |
1f907167fd216693dde972de5a46db5460599384 | 183 | py | Python | src/emuvim/api/util/process_utils.py | RafaelSche/vim-emu | 6503ba9fcbe13ca73c94d318157a1ba78ef26b5b | [
"Apache-2.0"
] | 34 | 2016-09-05T06:11:12.000Z | 2021-12-24T08:45:24.000Z | src/emuvim/api/util/process_utils.py | RafaelSche/vim-emu | 6503ba9fcbe13ca73c94d318157a1ba78ef26b5b | [
"Apache-2.0"
] | 89 | 2016-07-19T14:14:27.000Z | 2020-01-09T07:19:45.000Z | src/emuvim/api/util/process_utils.py | RafaelSche/vim-emu | 6503ba9fcbe13ca73c94d318157a1ba78ef26b5b | [
"Apache-2.0"
] | 32 | 2016-07-19T14:58:06.000Z | 2020-05-05T13:30:01.000Z | import logging
import subprocess
import time
| 18.3 | 48 | 0.677596 |
1f944de947e6f066710ae464c5f7cd8435c93b21 | 189 | py | Python | zesty_metrics/defaults.py | Crossway/django-zesty-metrics | 863532dce1379039e3db99355c90e84ac2288534 | [
"BSD-3-Clause"
] | 1 | 2015-07-07T19:22:42.000Z | 2015-07-07T19:22:42.000Z | zesty_metrics/defaults.py | Crossway/django-zesty-metrics | 863532dce1379039e3db99355c90e84ac2288534 | [
"BSD-3-Clause"
] | 4 | 2016-08-01T18:11:18.000Z | 2018-02-06T18:02:02.000Z | zesty_metrics/defaults.py | Crossway/django-zesty-metrics | 863532dce1379039e3db99355c90e84ac2288534 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
ZESTY_TRACKING_CLASSES = [
'zesty_metrics.tracking.UserAccounts',
]
ZESTY_TIMING_SAMPLE_RATE = 1
ZESTY_TIME_RESPONSES = True
ZESTY_TRACK_USER_ACTIVITY = True
| 17.181818 | 42 | 0.756614 |