hexsha stringlengths 40 40 | size int64 4 1.02M | ext stringclasses 8
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 4 209 | max_stars_repo_name stringlengths 5 121 | max_stars_repo_head_hexsha stringlengths 40 40 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 4 209 | max_issues_repo_name stringlengths 5 121 | max_issues_repo_head_hexsha stringlengths 40 40 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 67k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 4 209 | max_forks_repo_name stringlengths 5 121 | max_forks_repo_head_hexsha stringlengths 40 40 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 4 1.02M | avg_line_length float64 1.07 66.1k | max_line_length int64 4 266k | alphanum_fraction float64 0.01 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
655a2db3fa6c2ead3f03ffdd5feda111f37b2963 | 885 | py | Python | Mobley_logP/pythonScripts/makeDataFile.py | MobleyLab/SAMPL5_logD_PredictionAnalysis | c7675a8f183a465bee89599a6df9e360476ef868 | [
"MIT"
] | 1 | 2018-03-21T16:48:41.000Z | 2018-03-21T16:48:41.000Z | Mobley_logP/pythonScripts/makeDataFile.py | MobleyLab/SAMPL5_logD_PredictionAnalysis | c7675a8f183a465bee89599a6df9e360476ef868 | [
"MIT"
] | null | null | null | Mobley_logP/pythonScripts/makeDataFile.py | MobleyLab/SAMPL5_logD_PredictionAnalysis | c7675a8f183a465bee89599a6df9e360476ef868 | [
"MIT"
] | null | null | null | # Written by Caitlin C Bannan
# Mobley Group, UC Irvine
# January/February 2016 I don't remember
# Prints calculated logD and associated solvation free energies to text file. It is the same script I used to make our SAMPL5 submission, solvation free energies were add later when discussing results with other participant... | 36.875 | 224 | 0.658757 |
7ae8b377b8a9d82c890d09b97597c94927dfe100 | 481 | py | Python | morepath_static/tests/test_morepath_static.py | morepath/morepath_static | 77f0496d6d1119c91ebebdd683b0fd443d789596 | [
"BSD-3-Clause"
] | null | null | null | morepath_static/tests/test_morepath_static.py | morepath/morepath_static | 77f0496d6d1119c91ebebdd683b0fd443d789596 | [
"BSD-3-Clause"
] | 4 | 2020-09-07T13:35:53.000Z | 2021-04-18T14:32:31.000Z | morepath_static/tests/test_morepath_static.py | morepath/morepath_static | 77f0496d6d1119c91ebebdd683b0fd443d789596 | [
"BSD-3-Clause"
] | 2 | 2016-07-05T06:26:56.000Z | 2020-09-30T16:17:28.000Z | from webtest import TestApp as Client
from .. import App
from ..__main__ import run
def test_static_assets():
c = Client(App())
r = c.get("/")
scripts = r.html.select("script")
assert len(scripts) == 2
for s in scripts:
c.get(s["src"])
def test_run(monkeypatch):
import morepath
... | 17.178571 | 75 | 0.627859 |
6a74fc6b55779064da01a4a98c72939870076699 | 3,802 | py | Python | basestation/flopper.py | jakeh12/hackisu2018-flopper | 46d1ea47546f36c0573e2a662b1bf717794c431c | [
"MIT"
] | 1 | 2018-10-14T18:19:50.000Z | 2018-10-14T18:19:50.000Z | basestation/flopper.py | jakeh12/hackisu2018-flopper | 46d1ea47546f36c0573e2a662b1bf717794c431c | [
"MIT"
] | null | null | null | basestation/flopper.py | jakeh12/hackisu2018-flopper | 46d1ea47546f36c0573e2a662b1bf717794c431c | [
"MIT"
] | null | null | null | from header_chunk import HeaderChunk
from track_chunk import TrackChunk
from helpers import HexArrayToDecimal
from drive_system import DriveSystem
import time
with open('/Users/jhladik/Downloads/test.mid', 'rb') as midiFile:
# Read entire file and save into a list of ascii/hex chars
fileContent = list(midiFile... | 36.912621 | 111 | 0.613887 |
fc7a44c80e51887c9363a64965d34f0f37f898ca | 3,453 | py | Python | src/worker/utils/flashcard.py | dailyideas/mobile-flashcards | ea9e95557471b54abd2dbec4d23c9a87ffc848cd | [
"MIT"
] | null | null | null | src/worker/utils/flashcard.py | dailyideas/mobile-flashcards | ea9e95557471b54abd2dbec4d23c9a87ffc848cd | [
"MIT"
] | null | null | null | src/worker/utils/flashcard.py | dailyideas/mobile-flashcards | ea9e95557471b54abd2dbec4d23c9a87ffc848cd | [
"MIT"
] | null | null | null | from __future__ import annotations
import datetime, logging, os, pathlib, sys, time
import random
from dataclasses import dataclass, InitVar
from os import path
from typing import ClassVar
#### #### #### #### ####
#### Global constants ####
#### #### #### #### ####
SCRIPT_NAME = path.basename(__file__).split(".")... | 29.262712 | 102 | 0.573414 |
2b56a081e1eabde51def5b0ff9c64ec1024e4fc8 | 5,945 | py | Python | py3canvas/tests/external_tools.py | tylerclair/py3canvas | 7485d458606b65200f0ffa5bbe597a9d0bee189f | [
"MIT"
] | null | null | null | py3canvas/tests/external_tools.py | tylerclair/py3canvas | 7485d458606b65200f0ffa5bbe597a9d0bee189f | [
"MIT"
] | null | null | null | py3canvas/tests/external_tools.py | tylerclair/py3canvas | 7485d458606b65200f0ffa5bbe597a9d0bee189f | [
"MIT"
] | null | null | null | """ExternalTools API Tests for Version 1.0.
This is a testing template for the generated ExternalToolsAPI Class.
"""
import unittest
import requests
import secrets
from py3canvas.apis.external_tools import ExternalToolsAPI
class TestExternalToolsAPI(unittest.TestCase):
"""Tests for the ExternalToolsAPI."""
... | 43.07971 | 126 | 0.721447 |
0ae38deeb22769dd4c74616c77ab46ebb5718512 | 3,152 | py | Python | camp/codecs/graphviz.py | pedrovelho/camp | 98105c9054b8db3377cb6a06e7b5451b97c6c285 | [
"MIT"
] | null | null | null | camp/codecs/graphviz.py | pedrovelho/camp | 98105c9054b8db3377cb6a06e7b5451b97c6c285 | [
"MIT"
] | null | null | null | camp/codecs/graphviz.py | pedrovelho/camp | 98105c9054b8db3377cb6a06e7b5451b97c6c285 | [
"MIT"
] | 1 | 2019-02-05T08:49:41.000Z | 2019-02-05T08:49:41.000Z | #
# CAMP
#
# Copyright (C) 2017, 2018 SINTEF Digital
# All rights reserved.
#
# This software may be modified and distributed under the terms
# of the MIT license. See the LICENSE file for details.
#
from camp.codecs.commons import Codec
class Graphviz(Codec):
def __init__(self, indentation=2):
sel... | 27.172414 | 89 | 0.587246 |
ab4538d5d9786d69450483ac7a5faba0bad2cf3a | 3,416 | py | Python | detect_cycle.py | UPstartDeveloper/Problem_Solving_Practice | bd61333b3b056e82a94297e02bc05a17552e3496 | [
"MIT"
] | null | null | null | detect_cycle.py | UPstartDeveloper/Problem_Solving_Practice | bd61333b3b056e82a94297e02bc05a17552e3496 | [
"MIT"
] | null | null | null | detect_cycle.py | UPstartDeveloper/Problem_Solving_Practice | bd61333b3b056e82a94297e02bc05a17552e3496 | [
"MIT"
] | null | null | null | # Definition for singly-linked list.
class ListNode:
def __init__(self, x):
self.val = x
self.next = None
class Solution:
def detect_cycle(self, head: ListNode):
"""
detect a cycle in a linked list, return the 0-index
position of the repeated node
- -1 ... | 32.846154 | 91 | 0.492681 |
576216dab94c1680fc81a5ad044ac58da271032c | 12,249 | py | Python | workflow/migrations/0053_auto_20191001_2329.py | mercycorps/toladata | 4d5f9b45905a81af9981b586690e020d5b3bfc60 | [
"Apache-2.0"
] | null | null | null | workflow/migrations/0053_auto_20191001_2329.py | mercycorps/toladata | 4d5f9b45905a81af9981b586690e020d5b3bfc60 | [
"Apache-2.0"
] | 268 | 2020-03-31T15:46:59.000Z | 2022-03-31T18:01:08.000Z | workflow/migrations/0053_auto_20191001_2329.py | Falliatcom-sa/falliatcom | 39fb926de072c296ed32d50cccfb8003ca870739 | [
"Apache-2.0"
] | 1 | 2021-01-05T01:58:24.000Z | 2021-01-05T01:58:24.000Z | # Generated by Django 2.2.5 on 2019-10-02 06:29
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('workflow', '0052_delete_tolasites'),
]
operations = [
migrations.RemoveField(
model_name='adminlevelthree',
name='district',... | 28.419954 | 52 | 0.521675 |
64c6d6095b43ec8de63830ed72f230d3d2c38cc7 | 785 | py | Python | quantum_systems/__init__.py | Benedicte/quantum-systems | 31e6f78dceb03f5d01092f4008fbab38516a0623 | [
"MIT"
] | null | null | null | quantum_systems/__init__.py | Benedicte/quantum-systems | 31e6f78dceb03f5d01092f4008fbab38516a0623 | [
"MIT"
] | null | null | null | quantum_systems/__init__.py | Benedicte/quantum-systems | 31e6f78dceb03f5d01092f4008fbab38516a0623 | [
"MIT"
] | null | null | null | from .system import QuantumSystem
from .general_orbital_system import GeneralOrbitalSystem
from .spatial_orbital_system import SpatialOrbitalSystem
from .quest_system import QuestSystem
from .basis_set import BasisSet
from .custom_system import (
# construct_psi4_system,
# construct_pyscf_system,
construct_... | 34.130435 | 64 | 0.83949 |
fee1fcaa33925dc39c10ce02a49691251c095af2 | 3,817 | py | Python | timetrackerctl/rofi/main.py | theCapypara/timetrackerctl | 791954bfb57d400b7e99ff49ce6ef3313646f51b | [
"MIT"
] | null | null | null | timetrackerctl/rofi/main.py | theCapypara/timetrackerctl | 791954bfb57d400b7e99ff49ce6ef3313646f51b | [
"MIT"
] | null | null | null | timetrackerctl/rofi/main.py | theCapypara/timetrackerctl | 791954bfb57d400b7e99ff49ce6ef3313646f51b | [
"MIT"
] | null | null | null | import sys
import traceback
from datetime import datetime
from typing import Callable, Tuple, List, Dict, Optional
from rofi import Rofi
from zenipy import zenipy
from timetrackerctl.config import Config
from timetrackerctl.mngmnt.jira_tempo_manager import JiraTempoManager
from timetrackerctl.mngmnt.ticket_manager im... | 28.916667 | 131 | 0.651821 |
270f765caebd02ac86f679424d70feb7c1206c1b | 5,825 | py | Python | pandas/tests/util/test_assert_index_equal.py | LauraCollard/pandas | b1c3a9031569334cafc4e8d45d35408421f7dea4 | [
"BSD-3-Clause"
] | 5 | 2019-07-26T15:22:41.000Z | 2021-09-28T09:22:17.000Z | pandas/tests/util/test_assert_index_equal.py | LauraCollard/pandas | b1c3a9031569334cafc4e8d45d35408421f7dea4 | [
"BSD-3-Clause"
] | 16 | 2021-03-19T09:44:52.000Z | 2022-03-12T00:22:14.000Z | pandas/tests/util/test_assert_index_equal.py | LauraCollard/pandas | b1c3a9031569334cafc4e8d45d35408421f7dea4 | [
"BSD-3-Clause"
] | 9 | 2020-02-05T10:24:12.000Z | 2020-02-10T13:08:50.000Z | import numpy as np
import pytest
from pandas import Categorical, Index, MultiIndex, NaT
from pandas.util.testing import assert_index_equal
def test_index_equal_levels_mismatch():
msg = """Index are different
Index levels are different
\\[left\\]: 1, Int64Index\\(\\[1, 2, 3\\], dtype='int64'\\)
\\[right\\]: 2, ... | 33.477011 | 81 | 0.61133 |
1ba6225c934a1dd0dba2505f2d9e1fd539e8a752 | 4,020 | py | Python | sdk/storage/azure-storage-queue/samples/queue_samples_service_async.py | lmcarreiro/azure-sdk-for-python | 0bde943383725320eaaa1408fa6264fb0cd0febf | [
"MIT"
] | null | null | null | sdk/storage/azure-storage-queue/samples/queue_samples_service_async.py | lmcarreiro/azure-sdk-for-python | 0bde943383725320eaaa1408fa6264fb0cd0febf | [
"MIT"
] | null | null | null | sdk/storage/azure-storage-queue/samples/queue_samples_service_async.py | lmcarreiro/azure-sdk-for-python | 0bde943383725320eaaa1408fa6264fb0cd0febf | [
"MIT"
] | null | null | null | # coding: utf-8
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------... | 43.225806 | 131 | 0.66592 |
f4258ed993dbe7517e7a2e4f48c930511c2d3023 | 2,772 | py | Python | data processing/convertToJson.py | xiameng552180/SeqDynamics_V0 | 9a8e2f54aa09d56e74f5bb649e3e05a18a508d77 | [
"MIT"
] | null | null | null | data processing/convertToJson.py | xiameng552180/SeqDynamics_V0 | 9a8e2f54aa09d56e74f5bb649e3e05a18a508d77 | [
"MIT"
] | null | null | null | data processing/convertToJson.py | xiameng552180/SeqDynamics_V0 | 9a8e2f54aa09d56e74f5bb649e3e05a18a508d77 | [
"MIT"
] | null | null | null | import os
def read_file_as_str(file_path):
if not os.path.isfile(file_path):
raise TypeError(file_path + " does not exist")
content = open(file_path).read()
return content
if __name__ == "__main__":
# content = read_file_as_str("rank.json")
# contentSplit = content.split("}{")
# resul... | 86.625 | 2,052 | 0.164141 |
52f0e32b43a57bc86b63f6361b89c9ee00074271 | 542 | py | Python | python/idol/transformrules.py | epkaz93/idol | f378b7131bf2795d548382564158aec3268aa13e | [
"MIT"
] | null | null | null | python/idol/transformrules.py | epkaz93/idol | f378b7131bf2795d548382564158aec3268aa13e | [
"MIT"
] | null | null | null | python/idol/transformrules.py | epkaz93/idol | f378b7131bf2795d548382564158aec3268aa13e | [
"MIT"
] | null | null | null | from __future__ import annotations
import six
import abc
from idol.colour import Colour
import typing
if typing.TYPE_CHECKING:
from idol import Icon
@six.add_metaclass(abc.ABCMeta)
class TransformRuleBase(object):
@abc.abstractmethod
def execute(self, icon: Icon) -> Icon:
raise NotImplemented... | 18.689655 | 48 | 0.728782 |
2db56b406a84982b442cc056b5376cb27b355d57 | 2,532 | py | Python | insights/util/canonical_facts.py | chrismeyersfsu/insights-core | cb5c1ec41f9c783af72cbca855b457851e57f4aa | [
"Apache-2.0"
] | null | null | null | insights/util/canonical_facts.py | chrismeyersfsu/insights-core | cb5c1ec41f9c783af72cbca855b457851e57f4aa | [
"Apache-2.0"
] | null | null | null | insights/util/canonical_facts.py | chrismeyersfsu/insights-core | cb5c1ec41f9c783af72cbca855b457851e57f4aa | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
from __future__ import print_function
from insights import rule, make_metadata, run
from insights.specs import Specs
from insights.core import Parser
from insights.core.plugins import parser
@parser(Specs.ip_addresses)
class IPs(Parser):
"""
Reads the output of hostname -I and construc... | 23.444444 | 104 | 0.637836 |
77f2111f5ff173ed9511e818fe62f6e75c5ef2ee | 11,324 | py | Python | plugins/modules/kibana_alert.py | exp-hc/ansible-collection-elastic | 668f6e7be368e0307df0514c999f330be0ead070 | [
"Apache-2.0"
] | null | null | null | plugins/modules/kibana_alert.py | exp-hc/ansible-collection-elastic | 668f6e7be368e0307df0514c999f330be0ead070 | [
"Apache-2.0"
] | null | null | null | plugins/modules/kibana_alert.py | exp-hc/ansible-collection-elastic | 668f6e7be368e0307df0514c999f330be0ead070 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# Copyright 2021 Expedient
#
# 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 agr... | 33.702381 | 189 | 0.682268 |
7dcee4add9d372dba77b8cacbf1af77b36109a14 | 403 | py | Python | template/pc/temp.py | mob5566/dotfiles | 4ebc6aa1b150640fb064f8826f50c0baba322506 | [
"MIT"
] | null | null | null | template/pc/temp.py | mob5566/dotfiles | 4ebc6aa1b150640fb064f8826f50c0baba322506 | [
"MIT"
] | null | null | null | template/pc/temp.py | mob5566/dotfiles | 4ebc6aa1b150640fb064f8826f50c0baba322506 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
'''
' Author: Cheng-Shih Wong
' Email: mob5566@gmail.com
' Date:
'''
def main():
pass
if __name__ == '__main__':
import sys, os
from time import time
if len(sys.argv)>1 and os.path.exists(sys.argv[1]):
sys.stdin = open(sys.argv[1], 'rb')
st = time()
main... | 21.210526 | 79 | 0.560794 |
85c8ef2bdd7eb83d596ee6c682be5f0479449e29 | 1,255 | py | Python | pjbbs/config.py | li765416060/li | 3a158218a2a0892577bde29f75f70cce6af11be5 | [
"Apache-2.0"
] | 1 | 2019-03-07T02:17:27.000Z | 2019-03-07T02:17:27.000Z | pjbbs/config.py | li765416060/li | 3a158218a2a0892577bde29f75f70cce6af11be5 | [
"Apache-2.0"
] | null | null | null | pjbbs/config.py | li765416060/li | 3a158218a2a0892577bde29f75f70cce6af11be5 | [
"Apache-2.0"
] | null | null | null | # 打开debug模式之后修改项目python代码不用重复启动
# 但是上线的时候必须要关掉
DEBUG=True
# 打开之后，模板修改了也不需要重启服务器
TEMPLATES_AUTO_RELOAD=True
# 数据库的配置项
# 数据库连接
DB_USERNAME='root'
DB_PASSWORD="root"
DB_HOST="127.0.0.1"
DB_PORT="3306"
DB_NAME="bbs"
DB_URL="mysql+pymysql://%s:%s@%s:%s/%s?charset=utf8" % (DB_USERNAME,DB_PASSWORD,DB_HOST,DB_PORT,DB_NAME)
... | 24.134615 | 111 | 0.803187 |
dd092dd50a08d7fa738e659fa6962c2bde76d8eb | 5,353 | py | Python | hydroadjust/sampling.py | NiclasHjortkjaer/dhm-hydro-adjust | 30bb58a21c9d5a6d1f342e513a4a50ba24c6aa6a | [
"MIT"
] | null | null | null | hydroadjust/sampling.py | NiclasHjortkjaer/dhm-hydro-adjust | 30bb58a21c9d5a6d1f342e513a4a50ba24c6aa6a | [
"MIT"
] | null | null | null | hydroadjust/sampling.py | NiclasHjortkjaer/dhm-hydro-adjust | 30bb58a21c9d5a6d1f342e513a4a50ba24c6aa6a | [
"MIT"
] | 2 | 2022-02-18T12:58:49.000Z | 2022-02-18T13:18:39.000Z | from osgeo import gdal, ogr
from scipy.interpolate import RegularGridInterpolator
import numpy as np
from collections import namedtuple
# The ordering of window X and Y bounds is a mess in GDAL (compare e.g.
# gdal.Translate() and gdal.Warp()). Using this little structure and
# addressing the members by name should ... | 37.173611 | 163 | 0.698674 |
4791793987badd9746bb2a6c5f6d6e776824acbf | 20,052 | py | Python | applyHCPAcrosswalk.py | mobalt/RedCap2NDA_withCrosswalk | 8fa8c57f049cb3adb219e50f3474cd7532cee3ce | [
"MIT"
] | null | null | null | applyHCPAcrosswalk.py | mobalt/RedCap2NDA_withCrosswalk | 8fa8c57f049cb3adb219e50f3474cd7532cee3ce | [
"MIT"
] | 1 | 2020-02-27T20:57:54.000Z | 2020-02-27T22:17:00.000Z | applyHCPAcrosswalk.py | mobalt/RedCap2NDA_withCrosswalk | 8fa8c57f049cb3adb219e50f3474cd7532cee3ce | [
"MIT"
] | 1 | 2020-02-27T21:19:08.000Z | 2020-02-27T21:19:08.000Z |
#two structures, ndarsubjects01 and edinburgh_hand01 are created by specialty
# programs HCD_ndar_edinburgh.py
#each of these structures requires consideration of all HCPD-redcap databases
#and were used as guinea pig behavioral data structures
import os, datetime
import json
import sys
from multiprocessing.dummy impo... | 57.291429 | 182 | 0.720876 |
0e7894f0820d257a241d1d8d0e7dc08819519908 | 843 | py | Python | DungeonsOfNoudar586/make_palette.py | libretro/dungeons-of-noudar | 40fe44c4a180d7daf3fe97eff4ddbfd2cd558c62 | [
"BSD-2-Clause"
] | 1 | 2020-12-25T01:06:43.000Z | 2020-12-25T01:06:43.000Z | Wizard3D/make_palette.py | TheFakeMontyOnTheRun/wizard-of-galicia-3d | 0255289758f782579aedf1055b3c790260fc65a6 | [
"BSD-2-Clause"
] | null | null | null | Wizard3D/make_palette.py | TheFakeMontyOnTheRun/wizard-of-galicia-3d | 0255289758f782579aedf1055b3c790260fc65a6 | [
"BSD-2-Clause"
] | 2 | 2020-08-17T16:13:01.000Z | 2020-08-27T19:38:26.000Z | import glob
from PIL import Image
from math import floor
palette = [[0,0,0]];
def transform( pixel ):
return [ 20 * ( pixel[ 0 ] / 20), 20 * ( pixel[ 1 ] / 20), 20 * ( pixel[ 2 ] / 20 ) ]
def add_to_palette( filename ):
imgFile = Image.open( filename )
img = imgFile.load()
for y in range( 0, imgFile.h... | 26.34375 | 89 | 0.533808 |
12363ce750099de3e2dc844f72536925d7218fa7 | 5,474 | py | Python | goatools/semantic.py | Odinidoer/goatools | 475be141437b7d81dc7d03533c2b2c07974400c2 | [
"BSD-2-Clause"
] | 1 | 2019-02-07T03:35:09.000Z | 2019-02-07T03:35:09.000Z | goatools/semantic.py | Odinidoer/goatools | 475be141437b7d81dc7d03533c2b2c07974400c2 | [
"BSD-2-Clause"
] | null | null | null | goatools/semantic.py | Odinidoer/goatools | 475be141437b7d81dc7d03533c2b2c07974400c2 | [
"BSD-2-Clause"
] | 1 | 2019-02-12T13:45:42.000Z | 2019-02-12T13:45:42.000Z | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
"""
Compute semantic similarities between GO terms. Borrowed from book chapter from
Alex Warwick Vesztrocy and Christophe Dessimoz (thanks). For details, please
check out:
notebooks/semantic_similarity.ipynb
"""
import math
from collections import Counter
class TermCoun... | 30.752809 | 97 | 0.637559 |
7c37ec44f558aae1a1f4a212ea40205c1ca93b0f | 19,384 | py | Python | maskrcnn_benchmark/engine/inference_aurora.py | niuchuangnn/aurora-maskrcnn | b17acd8c68f9ff3bb561d8f977893948a69c06e5 | [
"MIT"
] | 4 | 2020-02-13T16:02:33.000Z | 2021-03-26T01:12:14.000Z | maskrcnn_benchmark/engine/inference_aurora.py | niuchuangnn/aurora-maskrcnn | b17acd8c68f9ff3bb561d8f977893948a69c06e5 | [
"MIT"
] | 1 | 2021-03-01T12:48:37.000Z | 2021-03-04T03:11:24.000Z | maskrcnn_benchmark/engine/inference_aurora.py | niuchuangnn/aurora-maskrcnn | b17acd8c68f9ff3bb561d8f977893948a69c06e5 | [
"MIT"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import datetime
import logging
import tempfile
import time
import os
from collections import OrderedDict
import torch
from tqdm import tqdm
from ..structures.bounding_box import BoxList
from ..utils.comm import is_main_process
from ..utils.comm ... | 34.066784 | 89 | 0.600547 |
d6388d08fecfd158d3274088288cb459c0068d72 | 2,191 | py | Python | meb/MEBLibSlidingWindow.py | vibhatha/PSGDSVMPY | 69ed88f5db8d9a250ee944f44b88e54351f8696f | [
"Apache-2.0"
] | null | null | null | meb/MEBLibSlidingWindow.py | vibhatha/PSGDSVMPY | 69ed88f5db8d9a250ee944f44b88e54351f8696f | [
"Apache-2.0"
] | null | null | null | meb/MEBLibSlidingWindow.py | vibhatha/PSGDSVMPY | 69ed88f5db8d9a250ee944f44b88e54351f8696f | [
"Apache-2.0"
] | null | null | null | import sys
import os
HOME=os.environ['HOME']
sys.path.insert(1,HOME+'/github/StreamingSVM')
from operations import LoadLibsvm
import numpy as np
from matplotlib import pyplot as plt
X = np.array([[1,1],[2,1],[3,1],[4,1],[1,5],[2,6],[3,7],[4,5]])
y = np.array([1,1,1,1,-1,-1,-1,-1])
X_test = np.array([[1,1.25],[2.1,1.15... | 26.719512 | 110 | 0.617526 |
3ac9a2e0f44fca9da47e4ad0d8e4457a4cfdb12c | 6,377 | py | Python | train.py | ssaz5/pytorch-retinanet | 6963919387d31f8c7657bec671f3dbcb22556e32 | [
"Apache-2.0"
] | null | null | null | train.py | ssaz5/pytorch-retinanet | 6963919387d31f8c7657bec671f3dbcb22556e32 | [
"Apache-2.0"
] | null | null | null | train.py | ssaz5/pytorch-retinanet | 6963919387d31f8c7657bec671f3dbcb22556e32 | [
"Apache-2.0"
] | null | null | null | import time
import os
import copy
import argparse
import pdb
import collections
import sys
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
from torch.optim import lr_scheduler
from torch.autograd import Variable
from torchvision import datasets, models, transforms
import torchvision
... | 35.427778 | 232 | 0.674455 |
f3c0eea06fadf5f88784664c3998118ace7dd653 | 11,987 | py | Python | tencentcloud/tbm/v20180129/tbm_client.py | PlasticMem/tencentcloud-sdk-python | 666db85623d51d640a165907a19aef5fba53b38d | [
"Apache-2.0"
] | 465 | 2018-04-27T09:54:59.000Z | 2022-03-29T02:18:01.000Z | tencentcloud/tbm/v20180129/tbm_client.py | PlasticMem/tencentcloud-sdk-python | 666db85623d51d640a165907a19aef5fba53b38d | [
"Apache-2.0"
] | 91 | 2018-04-27T09:48:11.000Z | 2022-03-12T08:04:04.000Z | tencentcloud/tbm/v20180129/tbm_client.py | PlasticMem/tencentcloud-sdk-python | 666db85623d51d640a165907a19aef5fba53b38d | [
"Apache-2.0"
] | 232 | 2018-05-02T08:02:46.000Z | 2022-03-30T08:02:48.000Z | # -*- coding: utf8 -*-
# Copyright (c) 2017-2021 THL A29 Limited, a Tencent company. 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... | 43.118705 | 101 | 0.62134 |
bf21047df5516b43c4bb231a6c9dfd482ad66329 | 16,070 | py | Python | pyinfra/api/connectors/ssh.py | blarghmatey/pyinfra | b8287618d66a4e00963c88a3ef191c94e8320f70 | [
"MIT"
] | null | null | null | pyinfra/api/connectors/ssh.py | blarghmatey/pyinfra | b8287618d66a4e00963c88a3ef191c94e8320f70 | [
"MIT"
] | null | null | null | pyinfra/api/connectors/ssh.py | blarghmatey/pyinfra | b8287618d66a4e00963c88a3ef191c94e8320f70 | [
"MIT"
] | null | null | null | from __future__ import print_function, unicode_literals
from distutils.spawn import find_executable
from getpass import getpass
from os import path
from socket import (
error as socket_error,
gaierror,
)
import click
import six
from paramiko import (
AuthenticationException,
DSSKey,
ECDSAKey,
... | 30.263653 | 128 | 0.628002 |
bc3af7951a21714669f0665803e37c96ec531a8b | 3,703 | py | Python | squeezeDet/src/nets/squeezeDet.py | Walter1218/Self_Driving_Car_ND | 526a9583a2bc616cb19cdfc7921b5e1c0f9711bd | [
"MIT"
] | 2 | 2017-05-25T01:26:41.000Z | 2019-08-16T13:38:57.000Z | squeezeDet/src/nets/squeezeDet.py | Walter1218/Self_Driving_Car_ND | 526a9583a2bc616cb19cdfc7921b5e1c0f9711bd | [
"MIT"
] | null | null | null | squeezeDet/src/nets/squeezeDet.py | Walter1218/Self_Driving_Car_ND | 526a9583a2bc616cb19cdfc7921b5e1c0f9711bd | [
"MIT"
] | 1 | 2019-03-15T02:19:49.000Z | 2019-03-15T02:19:49.000Z | # Author: Bichen Wu (bichen@berkeley.edu) 08/25/2016
"""SqueezeDet model."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import sys
import joblib
from utils import util
from easydict import EasyDict as edict
import numpy as np
import tensorf... | 34.933962 | 76 | 0.664866 |
5184a574c6b2ae85ee48d3894f091535a9f94b9b | 3,141 | py | Python | exp-visual7w/exp_test_visual7w_baseline.py | ronghanghu/cmn | 85644ad56f8f62d04a5e8636ad3efe9ef7b34705 | [
"MIT"
] | 72 | 2017-04-12T17:07:36.000Z | 2021-06-18T08:20:47.000Z | exp-visual7w/exp_test_visual7w_baseline.py | ronghanghu/cmn | 85644ad56f8f62d04a5e8636ad3efe9ef7b34705 | [
"MIT"
] | 8 | 2017-07-06T04:24:04.000Z | 2020-09-17T10:29:44.000Z | exp-visual7w/exp_test_visual7w_baseline.py | ronghanghu/cmn | 85644ad56f8f62d04a5e8636ad3efe9ef7b34705 | [
"MIT"
] | 21 | 2017-04-19T07:38:09.000Z | 2021-02-28T13:39:22.000Z | from __future__ import absolute_import, division, print_function
import sys
import os; os.environ['CUDA_VISIBLE_DEVICES'] = '0' # using GPU 0
import tensorflow as tf
import numpy as np
import skimage.io
import skimage.transform
from models import visual7w_baseline_model, spatial_feat, fastrcnn_vgg_net
from util.vis... | 34.516484 | 91 | 0.583572 |
0d11fe319391aef19291f1aa0d53255fe904ca9a | 32,706 | py | Python | affiliate/model/mysql_report.py | gods-view/AdclickIO | ccb73867e568aac5f40bd5890149626ce0be1897 | [
"BSD-2-Clause"
] | null | null | null | affiliate/model/mysql_report.py | gods-view/AdclickIO | ccb73867e568aac5f40bd5890149626ce0be1897 | [
"BSD-2-Clause"
] | null | null | null | affiliate/model/mysql_report.py | gods-view/AdclickIO | ccb73867e568aac5f40bd5890149626ce0be1897 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
# encoding: utf-8
from peewee import *
from affiliate.model.config import mysql_report
import time
reportDb = MySQLDatabase(mysql_report['name'],
host=mysql_report['host'],
port=int(mysql_report['port']),
user=mysql_repor... | 52.3296 | 76 | 0.694429 |
a61c248a1b8971396e8dd37200ef83143f941736 | 972 | py | Python | statsmodels/tests/test_package.py | o-P-o/statsmodels | ee9f5c0bd7ee7f646bdbaf31fbc295e5a0ab02f8 | [
"BSD-3-Clause"
] | 1 | 2020-06-18T07:38:11.000Z | 2020-06-18T07:38:11.000Z | statsmodels/tests/test_package.py | o-P-o/statsmodels | ee9f5c0bd7ee7f646bdbaf31fbc295e5a0ab02f8 | [
"BSD-3-Clause"
] | null | null | null | statsmodels/tests/test_package.py | o-P-o/statsmodels | ee9f5c0bd7ee7f646bdbaf31fbc295e5a0ab02f8 | [
"BSD-3-Clause"
] | null | null | null | import subprocess
import sys
import pytest
from statsmodels.compat.scipy import SCIPY_11
def test_lazy_imports():
# Check that when statsmodels.api is imported, matplotlib is _not_ imported
cmd = ("import statsmodels.api as sm; "
"import sys; "
"mods = [x for x in sys.modules if 'matpl... | 31.354839 | 79 | 0.651235 |
13ac80afd76b9a697663b3f26daab02359439e9e | 4,865 | py | Python | tests_unit/models_tests/test_functional_stochastic.py | p1ndsvin/uncertainty-wizard | 92a7a9bcb411e512cf6ad54e7ba226a3c66d3583 | [
"MIT"
] | 33 | 2020-12-21T20:21:21.000Z | 2022-03-25T17:51:36.000Z | tests_unit/models_tests/test_functional_stochastic.py | swb19/uncertainty-wizard | 5ba9bfc6ee967eb5f226abbedb6f9d5452b3cfea | [
"MIT"
] | 83 | 2020-12-18T18:18:28.000Z | 2022-03-28T21:17:29.000Z | tests_unit/models_tests/test_functional_stochastic.py | swb19/uncertainty-wizard | 5ba9bfc6ee967eb5f226abbedb6f9d5452b3cfea | [
"MIT"
] | 5 | 2021-02-13T13:27:48.000Z | 2021-12-25T16:45:19.000Z | from unittest import TestCase
import numpy as np
import tensorflow as tf
import uncertainty_wizard as uwiz
from uncertainty_wizard.internal_utils import UncertaintyWizardWarning
from uncertainty_wizard.models import StochasticFunctional
from uncertainty_wizard.models.stochastic_utils.layers import UwizBernoulliDropou... | 40.541667 | 94 | 0.679753 |
9e6a4aab5a9025820b1cdcfbb0bb98026d2297e1 | 16,766 | py | Python | sympy/concrete/summations.py | Timeroot/sympy | f95bf4bbc548d326f4643d22faec32aca7880187 | [
"BSD-3-Clause"
] | null | null | null | sympy/concrete/summations.py | Timeroot/sympy | f95bf4bbc548d326f4643d22faec32aca7880187 | [
"BSD-3-Clause"
] | null | null | null | sympy/concrete/summations.py | Timeroot/sympy | f95bf4bbc548d326f4643d22faec32aca7880187 | [
"BSD-3-Clause"
] | null | null | null | from sympy.core import (Expr, S, C, sympify, Wild, Dummy, Derivative, Symbol, Add)
from sympy.functions.elementary.piecewise import piecewise_fold
from sympy.concrete.gosper import gosper_sum
from sympy.polys import apart, PolynomialError
from sympy.solvers import solve
def _free_symbols(function, limits):
"""Help... | 30.046595 | 87 | 0.527377 |
802a54f38bc92215c9c4a55d77351d0e2407bdfa | 15,292 | py | Python | sasrl_env/common/env_pb2_grpc.py | sassoftware/sasrlenv | 2c8039276fdfe8071582f1e5053f9cfcb4a194e9 | [
"Apache-2.0"
] | 1 | 2021-04-23T15:10:58.000Z | 2021-04-23T15:10:58.000Z | sasrl_env/common/env_pb2_grpc.py | sassoftware/sasrlenv | 2c8039276fdfe8071582f1e5053f9cfcb4a194e9 | [
"Apache-2.0"
] | null | null | null | sasrl_env/common/env_pb2_grpc.py | sassoftware/sasrlenv | 2c8039276fdfe8071582f1e5053f9cfcb4a194e9 | [
"Apache-2.0"
] | null | null | null | # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
"""Client and server classes corresponding to protobuf-defined services."""
import grpc
import sasrl_env.common.env_pb2 as env__pb2
class EnvControlStub(object):
"""Missing associated documentation comment in .proto file."""
def __init__(... | 39.010204 | 87 | 0.618886 |
eb638b05e8cea2358e954ef428e833b5ea4b6224 | 807 | py | Python | pages/advisors_stratifi_pages/sign_in_page.py | DashkevichBy/Advisors.stratiFi.frontend | e59892e8c1ff0d15ce6ef520fe0b00355e1a6870 | [
"Apache-2.0"
] | null | null | null | pages/advisors_stratifi_pages/sign_in_page.py | DashkevichBy/Advisors.stratiFi.frontend | e59892e8c1ff0d15ce6ef520fe0b00355e1a6870 | [
"Apache-2.0"
] | null | null | null | pages/advisors_stratifi_pages/sign_in_page.py | DashkevichBy/Advisors.stratiFi.frontend | e59892e8c1ff0d15ce6ef520fe0b00355e1a6870 | [
"Apache-2.0"
] | null | null | null | from selenium.webdriver.common.by import By
from webium import Find
from abstract_base_page import AbstractBasePage
class SignInPage(AbstractBasePage):
emailField = Find(by=By.XPATH, value='.//*[@name="email"]')
passwordField = Find(by=By.XPATH, value='.//*[@name="password"]')
signInButton = Find(by=By.XP... | 26.9 | 77 | 0.604709 |
e4e6082ec1345a4222f83c29d5ac970de99d07f8 | 755 | py | Python | diagan-pkg/diagan/datasets/get_celeba_index_with_attr.py | lee-jinhee/self-diagnosing-gan | da87dd1ef10f2d630d6904ced63ae8805b5db356 | [
"Apache-2.0"
] | 16 | 2021-02-25T06:48:51.000Z | 2022-03-04T13:08:12.000Z | diagan-pkg/diagan/datasets/get_celeba_index_with_attr.py | lee-jinhee/self-diagnosing-gan | da87dd1ef10f2d630d6904ced63ae8805b5db356 | [
"Apache-2.0"
] | null | null | null | diagan-pkg/diagan/datasets/get_celeba_index_with_attr.py | lee-jinhee/self-diagnosing-gan | da87dd1ef10f2d630d6904ced63ae8805b5db356 | [
"Apache-2.0"
] | 4 | 2021-03-02T02:03:17.000Z | 2022-03-24T03:31:12.000Z | from functools import partial
import os
import pandas
def get_celeba_index_with_attr(root, attr_name):
base_folder = "celeba"
fn = partial(os.path.join, root, base_folder)
attr = pandas.read_csv(fn("list_attr_celeba.txt"), delim_whitespace=True, header=1)
attribute = (attr.values + 1) // 2 # map from... | 29.038462 | 87 | 0.654305 |
5aaf7483469f3c71a0047e0951c9ad318d028517 | 5,098 | py | Python | gennghttpxfun.py | acesso/nghttpx-http2-push | fcd9ddc094ee5b81bf5d1cc18ba6897f7a03f12e | [
"MIT"
] | null | null | null | gennghttpxfun.py | acesso/nghttpx-http2-push | fcd9ddc094ee5b81bf5d1cc18ba6897f7a03f12e | [
"MIT"
] | null | null | null | gennghttpxfun.py | acesso/nghttpx-http2-push | fcd9ddc094ee5b81bf5d1cc18ba6897f7a03f12e | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from gentokenlookup import gentokenlookup
OPTIONS = [
"private-key-file",
"private-key-passwd-file",
"certificate-file",
"dh-param-file",
"subcert",
"backend",
"frontend",
"workers",
"http2-max-concurrent-streams",
"log-level",
"daemon",
"http2-pro... | 27.408602 | 148 | 0.642409 |
210b27c3f2f6b257fc25092d7419e5aa1159f7ca | 212 | py | Python | python/grid_utils.py | trestoa/mazes | 71466bf7bb433399c55365b9e69226a5b8fd963c | [
"Unlicense"
] | null | null | null | python/grid_utils.py | trestoa/mazes | 71466bf7bb433399c55365b9e69226a5b8fd963c | [
"Unlicense"
] | null | null | null | python/grid_utils.py | trestoa/mazes | 71466bf7bb433399c55365b9e69226a5b8fd963c | [
"Unlicense"
] | null | null | null | def distance_cell_body(distances):
def format_body(cell):
if distances[cell] is None:
return ' '
else:
return '{:^3}'.format(distances[cell])
return format_body
| 23.555556 | 50 | 0.575472 |
5abea5b62e6983654ee6d85a9721a38e1bfe3c9b | 1,582 | py | Python | authlete/conf/authlete_ini_configuration.py | authlete/authlete-python | 751514c525cd04a930373de78463a1fe71b6da60 | [
"Apache-2.0"
] | 5 | 2019-07-30T01:37:04.000Z | 2021-02-15T05:55:55.000Z | authlete/conf/authlete_ini_configuration.py | DestinyCall/authlete-python | 751514c525cd04a930373de78463a1fe71b6da60 | [
"Apache-2.0"
] | null | null | null | authlete/conf/authlete_ini_configuration.py | DestinyCall/authlete-python | 751514c525cd04a930373de78463a1fe71b6da60 | [
"Apache-2.0"
] | 1 | 2021-02-15T05:55:56.000Z | 2021-02-15T05:55:56.000Z | #
# Copyright (C) 2019 Authlete, 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 ... | 36.790698 | 81 | 0.67067 |
34b7d5dc779dc2f1d601578ed60be19eadf280e7 | 2,188 | py | Python | mmdet/models/dense_heads/posenc_yolo_head.py | clintonjwang/mmdetection | f0d1aebdc162ab7e3748d7ac050b523476639818 | [
"Apache-2.0"
] | null | null | null | mmdet/models/dense_heads/posenc_yolo_head.py | clintonjwang/mmdetection | f0d1aebdc162ab7e3748d7ac050b523476639818 | [
"Apache-2.0"
] | 1 | 2021-12-01T04:15:47.000Z | 2021-12-01T04:15:47.000Z | mmdet/models/dense_heads/posenc_yolo_head.py | clintonjwang/mmdetection | f0d1aebdc162ab7e3748d7ac050b523476639818 | [
"Apache-2.0"
] | null | null | null | from ..builder import HEADS
from .yolo_head import YOLOV3Head
from mmcv.cnn import ConvModule
import torch, einops
nn = torch.nn
F = torch.nn.functional
@HEADS.register_module()
class PositionalEncodingYOLOV3Head(YOLOV3Head):
def __init__(self, num_frequencies, **kwargs):
self.L = num_frequencies
s... | 36.466667 | 118 | 0.587294 |
4b268f0b3eaecf2f80e1a4786df8069425831440 | 253 | py | Python | tinkerforge_remote_switch/__init__.py | MoeweX/RemoteSwitchBricklet_MQTT | 23c4d96dc18c6a137e6257a2ad1974310f435078 | [
"MIT"
] | null | null | null | tinkerforge_remote_switch/__init__.py | MoeweX/RemoteSwitchBricklet_MQTT | 23c4d96dc18c6a137e6257a2ad1974310f435078 | [
"MIT"
] | null | null | null | tinkerforge_remote_switch/__init__.py | MoeweX/RemoteSwitchBricklet_MQTT | 23c4d96dc18c6a137e6257a2ad1974310f435078 | [
"MIT"
] | null | null | null | # coding=utf-8
from logging.config import dictConfig
import toml
from tinkerforge_remote_switch.Config import Config
# enable logging
dictConfig(toml.load("../resources/logging.toml"))
# load configuration
CONFIG = Config("../resources/config.toml")
| 21.083333 | 51 | 0.786561 |
a6e208e8938b3027a7afee45ef4e4d3668f46728 | 881 | py | Python | netbox_icinga/livestatus.py | izabela1337/netbox-icinga | 37ec689fe0bfc524c692a7777354c336c2a98cf2 | [
"BSD-3-Clause"
] | null | null | null | netbox_icinga/livestatus.py | izabela1337/netbox-icinga | 37ec689fe0bfc524c692a7777354c336c2a98cf2 | [
"BSD-3-Clause"
] | null | null | null | netbox_icinga/livestatus.py | izabela1337/netbox-icinga | 37ec689fe0bfc524c692a7777354c336c2a98cf2 | [
"BSD-3-Clause"
] | null | null | null | import json
import socket
TIMEOUT = 3 # seconds
BUFFER_SIZE = 4096 # bytes
def hoststatus(hostname: str, livestatus_host: str, livestatus_port: int):
"""Fetches livestatus from icinga about hostname."""
query = (
"GET hosts\n"
+ "Filter: host_name = %s\n" % hostname
+ "OutputFormat:... | 23.184211 | 74 | 0.601589 |
299787d80432c80b9052ccbc398de764a531c601 | 4,486 | py | Python | sdks/python/http_client/v1/polyaxon_sdk/models/v1_hp_log_normal.py | rimon-safesitehq/polyaxon | c456d5bec00b36d75feabdccffa45b2be9a6346e | [
"Apache-2.0"
] | null | null | null | sdks/python/http_client/v1/polyaxon_sdk/models/v1_hp_log_normal.py | rimon-safesitehq/polyaxon | c456d5bec00b36d75feabdccffa45b2be9a6346e | [
"Apache-2.0"
] | null | null | null | sdks/python/http_client/v1/polyaxon_sdk/models/v1_hp_log_normal.py | rimon-safesitehq/polyaxon | c456d5bec00b36d75feabdccffa45b2be9a6346e | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
#
# Copyright 2018-2021 Polyaxon, 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 ... | 27.353659 | 98 | 0.588498 |
caacc66453ba664512c03e32c602d3a7ebc21721 | 9,468 | py | Python | vision_transform_codes/analysis_transforms/convolutional/ista_fista.py | spencerkent/vision-transform-codes | 63258ce698e436ee3ce29def75c89337759fb98b | [
"BSD-3-Clause"
] | null | null | null | vision_transform_codes/analysis_transforms/convolutional/ista_fista.py | spencerkent/vision-transform-codes | 63258ce698e436ee3ce29def75c89337759fb98b | [
"BSD-3-Clause"
] | null | null | null | vision_transform_codes/analysis_transforms/convolutional/ista_fista.py | spencerkent/vision-transform-codes | 63258ce698e436ee3ce29def75c89337759fb98b | [
"BSD-3-Clause"
] | null | null | null | """
Iterative Shrinkage/Thresholding for convolutional sparse inference
What I mean by convolutional is that the basis functions are convolved with
the sparse codes to produce an image. The basis functions will be much smaller
than the images. Implements both the vanilla and
accelerated variant (FISTA).
.. [1] Beck,... | 47.818182 | 79 | 0.717892 |
af74c22cf779026b4d0b5884603292a51eb01b9b | 25,189 | py | Python | src/elf.py | madushan1000/ghidra2dwarf | 51c6c3810010a564a31a2d1de93a1067d02080b7 | [
"MIT"
] | null | null | null | src/elf.py | madushan1000/ghidra2dwarf | 51c6c3810010a564a31a2d1de93a1067d02080b7 | [
"MIT"
] | null | null | null | src/elf.py | madushan1000/ghidra2dwarf | 51c6c3810010a564a31a2d1de93a1067d02080b7 | [
"MIT"
] | null | null | null | import struct
class ElfBase(object):
def __init__(self, file_offset, map, values, **kwargs):
self.__dict__['map'] = map
self.file_offset = file_offset
for n, v in zip(map, values):
if isinstance(n, tuple):
n, f = n
v = f(v)
setattr(self, n, v)
@property
def values(self):
vv = (g... | 41.703642 | 235 | 0.718607 |
cbff7f0a241e27ac588cbc07b859704fed2f931f | 4,130 | py | Python | pytheos/utils.py | nilsbeck/pytheos | de4f3a03330ddb28e68ddcaa7b4888ea9a25e238 | [
"MIT"
] | null | null | null | pytheos/utils.py | nilsbeck/pytheos | de4f3a03330ddb28e68ddcaa7b4888ea9a25e238 | [
"MIT"
] | 1 | 2021-10-30T16:31:41.000Z | 2021-10-30T16:31:41.000Z | pytheos/utils.py | nilsbeck/pytheos | de4f3a03330ddb28e68ddcaa7b4888ea9a25e238 | [
"MIT"
] | 1 | 2021-10-30T14:24:58.000Z | 2021-10-30T14:24:58.000Z | #!/usr/bin/env python
""" General utility functions """
from __future__ import annotations
import re
from socket import socket
from typing import Optional
import netifaces
CHARACTER_REPLACE_MAP = {
'&': '%26',
'=': '%3D',
'%': '%25',
}
def extract_host(url: str) -> Optional[str]:
""" Extracts the ... | 30.145985 | 109 | 0.67724 |
2f298a84489542127f81d495823158d13ea333fd | 2,579 | py | Python | io_scene_xray/details/types.py | vika-sonne/blender-xray | a9b9b9e3c83500e5431ec9e692ed57aff63ea43c | [
"BSD-2-Clause"
] | null | null | null | io_scene_xray/details/types.py | vika-sonne/blender-xray | a9b9b9e3c83500e5431ec9e692ed57aff63ea43c | [
"BSD-2-Clause"
] | null | null | null | io_scene_xray/details/types.py | vika-sonne/blender-xray | a9b9b9e3c83500e5431ec9e692ed57aff63ea43c | [
"BSD-2-Clause"
] | null | null | null | import bpy
from . import utils
class XRayObjectDetailsSlotsMeshesProperties(bpy.types.PropertyGroup):
mesh_0 = bpy.props.StringProperty()
mesh_1 = bpy.props.StringProperty()
mesh_2 = bpy.props.StringProperty()
mesh_3 = bpy.props.StringProperty()
class XRayObjectDetailsSlotsLightingProperties(bpy.ty... | 27.43617 | 76 | 0.645599 |
453150774e4ada6553f9a6fae527082c95ab8352 | 9,536 | py | Python | sgnlp/models/lif_3way_ap/modules/layers.py | jonheng/sgnlp | aeee85b78de2e449ca1dc6b18686a060cb938d07 | [
"MIT"
] | null | null | null | sgnlp/models/lif_3way_ap/modules/layers.py | jonheng/sgnlp | aeee85b78de2e449ca1dc6b18686a060cb938d07 | [
"MIT"
] | null | null | null | sgnlp/models/lif_3way_ap/modules/layers.py | jonheng/sgnlp | aeee85b78de2e449ca1dc6b18686a060cb938d07 | [
"MIT"
] | null | null | null | import numpy as np
import torch
import torch.nn as nn
from allennlp.nn.util import masked_softmax
class CharCNNEmbedding(nn.Module):
def __init__(self, num_embeddings, embedding_dim, num_filters, kernel_size, padding_idx=0, stride=1, dropout=0.3):
super(CharCNNEmbedding, self).__init__()
self.embe... | 36.396947 | 118 | 0.586514 |
c4320e6ecae62d0c63235d40353267caece1fc85 | 13,676 | py | Python | protocol/udp_chat_server.py | AntoineHus/C2W | 8313ef9a8407ff6fe68cc410d6fc656966751485 | [
"Apache-2.0"
] | null | null | null | protocol/udp_chat_server.py | AntoineHus/C2W | 8313ef9a8407ff6fe68cc410d6fc656966751485 | [
"Apache-2.0"
] | null | null | null | protocol/udp_chat_server.py | AntoineHus/C2W | 8313ef9a8407ff6fe68cc410d6fc656966751485 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from twisted.internet.protocol import DatagramProtocol
from c2w.main.lossy_transport import LossyTransport
from c2w.main.constants import ROOM_IDS
import logging
import ctypes
import struct
import random
from twisted.internet import reactor
from c2w.main.movie import *
from c2w.main.user import ... | 37.264305 | 211 | 0.690333 |
8ef8360c1d179f0fa647ad68098261cbc9b6ad8b | 756 | py | Python | Q012_LCM_Variant.py | latika18/learning | a57c9aacc0157bf7c318f46c1e7c4971d1d55aea | [
"Unlicense"
] | null | null | null | Q012_LCM_Variant.py | latika18/learning | a57c9aacc0157bf7c318f46c1e7c4971d1d55aea | [
"Unlicense"
] | null | null | null | Q012_LCM_Variant.py | latika18/learning | a57c9aacc0157bf7c318f46c1e7c4971d1d55aea | [
"Unlicense"
] | null | null | null | #Find LCM (Lowest Common Multiple) of two numbers a, b
#Example Inputs >>> 9, 3 o/p 9
# >>> 10, 75 o/p 150
# >>> 190, 51 o/p 9690
#Using the LCM formula LCM = a*b / gcd(a,b)
def LCM(x , y):
""" define a function LCM which takes two integer inputs and return their LCM using the for... | 28 | 129 | 0.527778 |
8fa1cbc28e6a7bb986475ce16dda5a3a2fe2276e | 6,389 | py | Python | vjezba12/Vjezba12-Vedran Milkovic.py | Miillky/uvod_u_programiranje | 209611e38c8fe84c727649df4b868a4278eb77c3 | [
"MIT"
] | null | null | null | vjezba12/Vjezba12-Vedran Milkovic.py | Miillky/uvod_u_programiranje | 209611e38c8fe84c727649df4b868a4278eb77c3 | [
"MIT"
] | null | null | null | vjezba12/Vjezba12-Vedran Milkovic.py | Miillky/uvod_u_programiranje | 209611e38c8fe84c727649df4b868a4278eb77c3 | [
"MIT"
] | null | null | null | from tkinter import *
def prikaziObavijest(v):
messagebox.showinfo("ZAHVALA",str(v)+" hvala na suradnji!")
glavni = Tk()
oznaka = Label(glavni, text="Unesi ime:")
oznaka.pack()
unos = Entry(glavni)
unos.pack()
tipka = Button(glavni, text="Poruka", command=lambda:prikaziObavijest(unos.get()))
tipka.pack()
glavni ... | 34.722826 | 127 | 0.674753 |
0adf6ca24287003cee5561020caa7ba36d192e85 | 1,665 | py | Python | renewable_energy_analysis/cleaning/meridian_countries.py | Batto1300/renewable-energy-analysis | 0825f024779a9469ac46175a80069f2e3ae0943a | [
"MIT"
] | 1 | 2018-11-25T14:46:21.000Z | 2018-11-25T14:46:21.000Z | renewable_energy_analysis/cleaning/meridian_countries.py | Batto1300/renewable-energy-analysis | 0825f024779a9469ac46175a80069f2e3ae0943a | [
"MIT"
] | 4 | 2018-10-10T14:48:54.000Z | 2018-11-20T12:10:30.000Z | renewable_energy_analysis/cleaning/meridian_countries.py | Batto1300/renewable-energy-analysis | 0825f024779a9469ac46175a80069f2e3ae0943a | [
"MIT"
] | 1 | 2018-12-18T06:38:08.000Z | 2018-12-18T06:38:08.000Z | """ This script cleans the original data set
containing the latitude distance.
Firsly, we filter the dataset for those
countries which are common to all datasets.
Secondly, just as a data manipulation exercise,
we convert the latitude figures from degrees to
kilometres (meridian distance).
... | 40.609756 | 82 | 0.772372 |
d9bda51ac189f0284fe03ccff3526079dbc3137b | 4,428 | py | Python | kubernetes/client/models/v1_local_volume_source.py | sgwilliams-ebsco/python | 35e6406536c96d4769ff7e2a02bf0fdcb902a509 | [
"Apache-2.0"
] | 1 | 2021-06-10T23:44:11.000Z | 2021-06-10T23:44:11.000Z | kubernetes/client/models/v1_local_volume_source.py | sgwilliams-ebsco/python | 35e6406536c96d4769ff7e2a02bf0fdcb902a509 | [
"Apache-2.0"
] | null | null | null | kubernetes/client/models/v1_local_volume_source.py | sgwilliams-ebsco/python | 35e6406536c96d4769ff7e2a02bf0fdcb902a509 | [
"Apache-2.0"
] | 1 | 2018-11-06T16:33:43.000Z | 2018-11-06T16:33:43.000Z | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.12.2
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from pprint import pformat
from six import iteritems
import re... | 28.384615 | 245 | 0.567299 |
1bea130de285c629059c1e70fa855ff1b261e2e7 | 124 | py | Python | hackerrank/miniMaxSum.py | irvandindaprakoso/online-test-py | a7a6cd98ba3e0b74558ecb7e431eb2729077a38a | [
"W3C"
] | null | null | null | hackerrank/miniMaxSum.py | irvandindaprakoso/online-test-py | a7a6cd98ba3e0b74558ecb7e431eb2729077a38a | [
"W3C"
] | null | null | null | hackerrank/miniMaxSum.py | irvandindaprakoso/online-test-py | a7a6cd98ba3e0b74558ecb7e431eb2729077a38a | [
"W3C"
] | null | null | null | def miniMaxSum(arr):
arr.sort()
sum1 = sum(arr[0:len(arr)-1])
sum2 = sum(arr[1:len(arr)])
print(sum1, sum2)
| 20.666667 | 33 | 0.572581 |
f60747181629588d612a87e4abc99c0f764efc65 | 485 | py | Python | env/Lib/site-packages/plotly/validators/scattercarpet/_hovertemplate.py | andresgreen-byte/Laboratorio-1--Inversion-de-Capital | 8a4707301d19c3826c31026c4077930bcd6a8182 | [
"MIT"
] | 11,750 | 2015-10-12T07:03:39.000Z | 2022-03-31T20:43:15.000Z | env/Lib/site-packages/plotly/validators/scattercarpet/_hovertemplate.py | andresgreen-byte/Laboratorio-1--Inversion-de-Capital | 8a4707301d19c3826c31026c4077930bcd6a8182 | [
"MIT"
] | 2,951 | 2015-10-12T00:41:25.000Z | 2022-03-31T22:19:26.000Z | env/Lib/site-packages/plotly/validators/scattercarpet/_hovertemplate.py | andresgreen-byte/Laboratorio-1--Inversion-de-Capital | 8a4707301d19c3826c31026c4077930bcd6a8182 | [
"MIT"
] | 2,623 | 2015-10-15T14:40:27.000Z | 2022-03-28T16:05:50.000Z | import _plotly_utils.basevalidators
class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="hovertemplate", parent_name="scattercarpet", **kwargs
):
super(HovertemplateValidator, self).__init__(
plotly_name=plotly_name,
... | 32.333333 | 80 | 0.659794 |
09d31ab502ec9eacfdea44661c80aaad11c1fff3 | 2,359 | py | Python | pybo/views/answer_views.py | PARKINHYO/pybo-docker | 04e4aba61ae7b40f03f865ecf3b9a59cbaca90da | [
"MIT"
] | 1 | 2021-09-25T23:40:53.000Z | 2021-09-25T23:40:53.000Z | pybo/views/answer_views.py | PARKINHYO/pybo-docker | 04e4aba61ae7b40f03f865ecf3b9a59cbaca90da | [
"MIT"
] | null | null | null | pybo/views/answer_views.py | PARKINHYO/pybo-docker | 04e4aba61ae7b40f03f865ecf3b9a59cbaca90da | [
"MIT"
] | null | null | null | from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.shortcuts import render, get_object_or_404, redirect, resolve_url
from django.utils import timezone
from ..forms import AnswerForm
from ..models import Question, Answer
@login_required(login_url='common:login')
... | 34.691176 | 87 | 0.65621 |
5855a6c49fdb5f15e80d23f53b524c32db1a704d | 2,273 | py | Python | scripts/process_TCGA_clinical.py | pdxgx/immunorx_response_pipeline | 5a3faa72370e96545b46caa790090d022eaa5ece | [
"MIT"
] | 4 | 2020-07-19T19:31:41.000Z | 2020-12-18T06:46:21.000Z | scripts/process_TCGA_clinical.py | pdxgx/immunorx_response_pipeline | 5a3faa72370e96545b46caa790090d022eaa5ece | [
"MIT"
] | null | null | null | scripts/process_TCGA_clinical.py | pdxgx/immunorx_response_pipeline | 5a3faa72370e96545b46caa790090d022eaa5ece | [
"MIT"
] | 1 | 2021-05-05T14:28:53.000Z | 2021-05-05T14:28:53.000Z | #!/usr/bin/env python
from __future__ import print_function
import argparse
import glob
import os
import pandas as pd
from collections import defaultdict
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--maf-dir', '-m', type=str,required=True, help='path to directory contain... | 39.189655 | 113 | 0.66564 |
6e824bfce6ff31500f330d14622190f045363c83 | 25,446 | py | Python | Jupyter/ChapitresTheoriques/ReguLabFct.py | AlbanVl/ReguCoursGramme | 292a063ac9a4bb23631e53bdb6fa05f5953308f8 | [
"MIT"
] | null | null | null | Jupyter/ChapitresTheoriques/ReguLabFct.py | AlbanVl/ReguCoursGramme | 292a063ac9a4bb23631e53bdb6fa05f5953308f8 | [
"MIT"
] | null | null | null | Jupyter/ChapitresTheoriques/ReguLabFct.py | AlbanVl/ReguCoursGramme | 292a063ac9a4bb23631e53bdb6fa05f5953308f8 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Tue May 11 10:23:05 2021
Fonctions utiles pour utiliser python en régu
@author: Alban Van Laethem
"""
from control.matlab import *
#from control.freqplot import default_frequency_range
import control.nichols as cn
import numpy as np
import matplotlib.pyplot as plt
import scipy ... | 31.76779 | 169 | 0.589641 |
ebb98d1a921c468667c4f091165a4cfc08797776 | 13,969 | py | Python | recipes/protobuf/all/conanfile.py | dpronin/conan-center-index | 5c6e41a618097d04e731c9831118a51dcb39ab3f | [
"MIT"
] | null | null | null | recipes/protobuf/all/conanfile.py | dpronin/conan-center-index | 5c6e41a618097d04e731c9831118a51dcb39ab3f | [
"MIT"
] | 1 | 2021-11-22T13:54:48.000Z | 2021-11-22T14:09:45.000Z | recipes/protobuf/all/conanfile.py | dpronin/conan-center-index | 5c6e41a618097d04e731c9831118a51dcb39ab3f | [
"MIT"
] | null | null | null | from conan.tools.files import rename
from conan.tools.microsoft import msvc_runtime_flag
from conans import ConanFile, CMake, tools
from conans.errors import ConanInvalidConfiguration
import functools
import os
import textwrap
required_conan_version = ">=1.43.0"
class ProtobufConan(ConanFile):
name = "protobuf"
... | 49.014035 | 213 | 0.654163 |
b85bbda1225dadb2b31cb216674462c452473c1d | 18,093 | py | Python | numba/cuda/tests/cudapy/test_intrinsics.py | skailasa/numba | 38ab89dd369a14b8826d3fa30d080aa083aed00b | [
"BSD-2-Clause",
"BSD-3-Clause"
] | 6,620 | 2015-01-04T08:51:04.000Z | 2022-03-31T12:52:18.000Z | numba/cuda/tests/cudapy/test_intrinsics.py | skailasa/numba | 38ab89dd369a14b8826d3fa30d080aa083aed00b | [
"BSD-2-Clause",
"BSD-3-Clause"
] | 6,457 | 2015-01-04T03:18:41.000Z | 2022-03-31T17:38:42.000Z | numba/cuda/tests/cudapy/test_intrinsics.py | skailasa/numba | 38ab89dd369a14b8826d3fa30d080aa083aed00b | [
"BSD-2-Clause",
"BSD-3-Clause"
] | 930 | 2015-01-25T02:33:03.000Z | 2022-03-30T14:10:32.000Z | import itertools
import numpy as np
import re
from numba import cuda, int64
from numba.cuda.testing import unittest, CUDATestCase, skip_on_cudasim
def simple_threadidx(ary):
i = cuda.threadIdx.x
ary[0] = i
def fill_threadidx(ary):
i = cuda.threadIdx.x
ary[i] = i
def fill3d_threadidx(ary):
i = ... | 34.267045 | 90 | 0.577848 |
9711f1393ff56670e6a9f73fac8aa90b49363fcc | 3,422 | py | Python | selfdrive/car/toyota/radar_interface.py | Orbbec-3DPG/openpilot | 27e0adc434906e37fd7674160a0a8c2dd5c3c180 | [
"MIT"
] | 41 | 2018-07-30T17:36:37.000Z | 2021-04-05T13:24:19.000Z | selfdrive/car/toyota/radar_interface.py | Orbbec-3DPG/openpilot | 27e0adc434906e37fd7674160a0a8c2dd5c3c180 | [
"MIT"
] | 14 | 2018-06-18T17:47:59.000Z | 2019-01-10T00:18:00.000Z | selfdrive/car/toyota/radar_interface.py | Orbbec-3DPG/openpilot | 27e0adc434906e37fd7674160a0a8c2dd5c3c180 | [
"MIT"
] | 29 | 2018-07-31T07:43:25.000Z | 2020-08-30T16:44:27.000Z | #!/usr/bin/env python
import os
import zmq
import time
from selfdrive.can.parser import CANParser
from cereal import car
from common.realtime import sec_since_boot
from selfdrive.services import service_list
import selfdrive.messaging as messaging
from selfdrive.car.toyota.values import NO_DSU_CAR
RADAR_A_MSGS = list... | 31.685185 | 112 | 0.622735 |
c90e6f1e84e410b6925321e475251b91bbf5c7cf | 7,183 | py | Python | train.py | mikweeh/pyperview | 3360ec318f74b434b3b21f22e798242d7862a38c | [
"MIT"
] | null | null | null | train.py | mikweeh/pyperview | 3360ec318f74b434b3b21f22e798242d7862a38c | [
"MIT"
] | null | null | null | train.py | mikweeh/pyperview | 3360ec318f74b434b3b21f22e798242d7862a38c | [
"MIT"
] | null | null | null | import argparse
import json
import os
import pickle
import sys
import sagemaker_containers
import pandas as pd
import torch
import torch.optim as optim
import torch.utils.data
from model import LSTMClassifier
def model_fn(model_dir):
"""Load the PyTorch model from the `model_dir` directory."""
print("Loading ... | 38.61828 | 107 | 0.653348 |
ec5e89434fc166ed3ee1439727f390f38cf029dc | 8,736 | py | Python | service/tests/unittests/testExceptions.py | ehenneken/metrics_service | b910e57f3a923637a71049b96ffa4ec11ec1fdea | [
"MIT"
] | null | null | null | service/tests/unittests/testExceptions.py | ehenneken/metrics_service | b910e57f3a923637a71049b96ffa4ec11ec1fdea | [
"MIT"
] | null | null | null | service/tests/unittests/testExceptions.py | ehenneken/metrics_service | b910e57f3a923637a71049b96ffa4ec11ec1fdea | [
"MIT"
] | null | null | null | import sys
import os
PROJECT_HOME = os.path.abspath(
os.path.join(os.path.dirname(__file__), '../../'))
sys.path.append(PROJECT_HOME)
from flask.ext.testing import TestCase
from flask import request
from flask import url_for, Flask
from sqlalchemy import Column, Integer, String, Float, DateTime, Boolean
from sqlalc... | 34.529644 | 79 | 0.632898 |
cee75e3085623490095d97d1193e88d8d1e175b2 | 121 | py | Python | class and objects/Getting Parents classes of a class.py | ZephyrAveryl777/Python-Programs | 26de85c31af28382d406d27d54186b966a7b1bfc | [
"MIT"
] | 6 | 2020-08-13T11:49:29.000Z | 2021-03-07T05:46:17.000Z | class and objects/Getting Parents classes of a class.py | ZephyrAveryl777/Python-Programs | 26de85c31af28382d406d27d54186b966a7b1bfc | [
"MIT"
] | null | null | null | class and objects/Getting Parents classes of a class.py | ZephyrAveryl777/Python-Programs | 26de85c31af28382d406d27d54186b966a7b1bfc | [
"MIT"
] | 1 | 2021-04-24T06:12:48.000Z | 2021-04-24T06:12:48.000Z | class A(object):
pass
class B(object):
pass
class C(A,B):
pass
print(f'Parent Classes are: {C.__bases__}') | 12.1 | 43 | 0.628099 |
2a601ea707a20e3e958d11a989829c8062d1aef9 | 2,034 | py | Python | matplotlib_examples/examples_src/pylab_examples/mri_with_eeg.py | xzlmark/webspider | 133c620c65aa45abea1718b0dada09618c2115bf | [
"Apache-2.0"
] | 3 | 2020-04-09T02:35:26.000Z | 2021-02-27T17:00:21.000Z | matplotlib_examples/examples_src/pylab_examples/mri_with_eeg.py | colorworlds/webspider | 133c620c65aa45abea1718b0dada09618c2115bf | [
"Apache-2.0"
] | null | null | null | matplotlib_examples/examples_src/pylab_examples/mri_with_eeg.py | colorworlds/webspider | 133c620c65aa45abea1718b0dada09618c2115bf | [
"Apache-2.0"
] | 1 | 2020-04-09T02:35:08.000Z | 2020-04-09T02:35:08.000Z | """Displays a set of subplots with an MRI image, its intensity histogram and
some EEG traces.
"""
from __future__ import division, print_function
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cbook as cbook
import matplotlib.cm as cm
from matplotlib.collections import LineCollection
from matpl... | 25.425 | 76 | 0.713864 |
8b6b0f9bfcc2c84236e512ae26b01ef6ff7ac3cd | 23,530 | py | Python | tasks-deploy/dfa/generate.py | chankruze/qctf-school-2018 | 1e732cf264ee0a94bc2fc1fd8cf3a20660d57605 | [
"MIT"
] | null | null | null | tasks-deploy/dfa/generate.py | chankruze/qctf-school-2018 | 1e732cf264ee0a94bc2fc1fd8cf3a20660d57605 | [
"MIT"
] | null | null | null | tasks-deploy/dfa/generate.py | chankruze/qctf-school-2018 | 1e732cf264ee0a94bc2fc1fd8cf3a20660d57605 | [
"MIT"
] | null | null | null | TITLE = "Старый друг"
STATEMENT_TEMPLATE = '''
Только что увиделись с моим давним другом.
Он не богат, да и не красавец. Но говорит, что всегда носит с собой автомат.
Как ни странно, оружия я у него не увидел. Удивился, переспросил.
Он лишь усмехнулся и дал мне флешку с этим [файлом](/static/files/10k5ze383e/{}).
... | 1,384.117647 | 23,012 | 0.739099 |
cc5e302b02a97e67828a50dc4996dda870ae6919 | 8,952 | py | Python | components/isceobj/Util/ImageUtil/DemImageLib.py | vincentschut/isce2 | 1557a05b7b6a3e65abcfc32f89c982ccc9b65e3c | [
"ECL-2.0",
"Apache-2.0"
] | 1,133 | 2022-01-07T21:24:57.000Z | 2022-01-07T21:33:08.000Z | components/isceobj/Util/ImageUtil/DemImageLib.py | vincentschut/isce2 | 1557a05b7b6a3e65abcfc32f89c982ccc9b65e3c | [
"ECL-2.0",
"Apache-2.0"
] | 276 | 2019-02-10T07:18:28.000Z | 2022-03-31T21:45:55.000Z | components/isceobj/Util/ImageUtil/DemImageLib.py | vincentschut/isce2 | 1557a05b7b6a3e65abcfc32f89c982ccc9b65e3c | [
"ECL-2.0",
"Apache-2.0"
] | 235 | 2019-02-10T05:00:53.000Z | 2022-03-18T07:37:24.000Z | #
# Author: Eric Gurrola
# Date: 2016
#
import os
from isceobj import createDemImage
from iscesys.DataManager import createManager
def createDem(usnwe, info, insar, demStitcher, useHighResOnly=False, useZeroTiles=False):
"""
Create a dem object given a user specified snwe lat, lon bounding box (usnwe),
a ... | 39.964286 | 100 | 0.64723 |
9ebd24f2666d8d23ba57c62d091a8533573ca5aa | 7,223 | py | Python | merge2.py | unis369/Mytubedownload | 73011e4f18165a43f6750a4ce375885ade5f64c6 | [
"MIT"
] | null | null | null | merge2.py | unis369/Mytubedownload | 73011e4f18165a43f6750a4ce375885ade5f64c6 | [
"MIT"
] | null | null | null | merge2.py | unis369/Mytubedownload | 73011e4f18165a43f6750a4ce375885ade5f64c6 | [
"MIT"
] | null | null | null | # standard library imports
import argparse
import os
import platform
import subprocess
# third party imports
import cursor
# local library imports
from pytube import YouTube
video_audio = 'video codec'
resolution = ''
abr = ''
fps = 0
args = {}
fileobj = {}
download_count = 1
def main():
global args
global v... | 27.568702 | 79 | 0.564447 |
90b032d8b7f3f36ba120c464a2c0d0735b0fd4ec | 3,252 | py | Python | create_opencv_homography_submission_example.py | hosang/ransac-tutorial-2020-data | 52810309d8341d538e24a13577c44ae2b4a5ec77 | [
"Apache-2.0"
] | null | null | null | create_opencv_homography_submission_example.py | hosang/ransac-tutorial-2020-data | 52810309d8341d538e24a13577c44ae2b4a5ec77 | [
"Apache-2.0"
] | null | null | null | create_opencv_homography_submission_example.py | hosang/ransac-tutorial-2020-data | 52810309d8341d538e24a13577c44ae2b4a5ec77 | [
"Apache-2.0"
] | null | null | null | # select the data
import numpy as np
import h5py
import cv2
from utils import *
from metrics import *
from tqdm import tqdm
def create_cv2_submission(split = 'val', inlier_th = 3.0, match_th = 0.85, n_iter=100000):
DIR = 'homography'
out_model = {}
for ds in ['EVD', 'HPatchesSeq']:
out_model[ds] = ... | 39.180723 | 110 | 0.561501 |
3f6964479476d8bc01d036d660a8b135200e0679 | 661 | py | Python | tests/dist1/setup.py | tirkarthi/humpty | 8652cf7b18a09d1a1d73465afd38581ef4e2369e | [
"BSD-3-Clause"
] | 14 | 2015-09-05T20:20:50.000Z | 2021-04-08T08:53:20.000Z | tests/dist1/setup.py | tirkarthi/humpty | 8652cf7b18a09d1a1d73465afd38581ef4e2369e | [
"BSD-3-Clause"
] | 6 | 2017-05-12T20:46:40.000Z | 2020-02-08T05:05:03.000Z | tests/dist1/setup.py | tirkarthi/humpty | 8652cf7b18a09d1a1d73465afd38581ef4e2369e | [
"BSD-3-Clause"
] | 8 | 2017-02-13T15:38:53.000Z | 2020-11-11T20:16:58.000Z | # -*- coding: utf-8 -*-
from setuptools import setup
setup(
name='dist1',
version='0.1',
description="A dummy distribution",
long_description=u"Long description.\n\nGruß.\n",
classifiers=[
"Topic :: Software Development :: Testing",
],
author='Jeff Dairiki',
author_email='dai... | 23.607143 | 53 | 0.555219 |
d685bca8e6543952c82391a2c1141fb12252210f | 462 | py | Python | tests/test_swf/models/test_timeout.py | gvlproject/moto | b1c51faaf5dbf79a76eca29724b7d22b87e27502 | [
"Apache-2.0"
] | 1 | 2021-03-06T22:01:41.000Z | 2021-03-06T22:01:41.000Z | tests/test_swf/models/test_timeout.py | gvlproject/moto | b1c51faaf5dbf79a76eca29724b7d22b87e27502 | [
"Apache-2.0"
] | 1 | 2021-12-13T20:51:54.000Z | 2021-12-13T20:51:54.000Z | tests/test_swf/models/test_timeout.py | gvlproject/moto | b1c51faaf5dbf79a76eca29724b7d22b87e27502 | [
"Apache-2.0"
] | 1 | 2017-10-19T00:53:28.000Z | 2017-10-19T00:53:28.000Z | from freezegun import freeze_time
from moto.swf.models import Timeout
from ..utils import make_workflow_execution
def test_timeout_creation():
wfe = make_workflow_execution()
# epoch 1420113600 == "2015-01-01 13:00:00"
timeout = Timeout(wfe, 1420117200, "START_TO_CLOSE")
with freeze_time("2015-01-... | 24.315789 | 56 | 0.71645 |
e0c4cac8a8f82722bf27628a7d66131a0e820bed | 1,526 | py | Python | Model/initialize.py | Taoooo9/Cail_Text_similarity_esimtribert | 10b0314fdc3fcc60e39737ac563e8538b96ceb19 | [
"Apache-2.0"
] | 5 | 2019-12-10T06:49:13.000Z | 2022-03-01T15:01:09.000Z | Model/initialize.py | Taoooo9/Cail_Text_similarity_esimtribert | 10b0314fdc3fcc60e39737ac563e8538b96ceb19 | [
"Apache-2.0"
] | null | null | null | Model/initialize.py | Taoooo9/Cail_Text_similarity_esimtribert | 10b0314fdc3fcc60e39737ac563e8538b96ceb19 | [
"Apache-2.0"
] | 2 | 2019-12-23T06:46:31.000Z | 2021-03-22T11:05:52.000Z | import torch.nn as nn
import numpy as np
def init_embedding(input_embedding):
"""
初始化embedding层权重
"""
scope = np.sqrt(3.0 / input_embedding.weight.size(1))
nn.init.uniform_(input_embedding.weight, -scope, scope)
def init_lstm_weight(lstm, num_layer=1):
"""
初始化lstm权重
"""
for i in ... | 32.468085 | 86 | 0.621887 |
7d571f8a8ec6869005e87358fee52170db7b050a | 96 | py | Python | venv/lib/python3.8/site-packages/numpy/core/generate_numpy_api.py | Retraces/UkraineBot | 3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71 | [
"MIT"
] | 2 | 2022-03-13T01:58:52.000Z | 2022-03-31T06:07:54.000Z | venv/lib/python3.8/site-packages/numpy/core/generate_numpy_api.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | 19 | 2021-11-20T04:09:18.000Z | 2022-03-23T15:05:55.000Z | venv/lib/python3.8/site-packages/numpy/core/generate_numpy_api.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | null | null | null | /home/runner/.cache/pip/pool/91/1c/a9/f83043538eb547bf87a5df04206e96b5c1f06d71db1a312c0d9e710e38 | 96 | 96 | 0.895833 |
d27fae0ffacba3795d16b19541f7898b88f3491c | 3,854 | py | Python | fuzzers/afl/fuzzer.py | hsachinraj/fuzzbench | 9639821132b0bfb70bc7d025ad2964d26b363b25 | [
"Apache-2.0"
] | null | null | null | fuzzers/afl/fuzzer.py | hsachinraj/fuzzbench | 9639821132b0bfb70bc7d025ad2964d26b363b25 | [
"Apache-2.0"
] | null | null | null | fuzzers/afl/fuzzer.py | hsachinraj/fuzzbench | 9639821132b0bfb70bc7d025ad2964d26b363b25 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 Google 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 to in writing, softw... | 34.106195 | 78 | 0.672289 |
c3160832aa22fdfd7f48f3cddabdd019be2fc111 | 474 | py | Python | prototyping/auto-segmentation/mc_old_2/config_prostate_wdsc.py | ethanio12345/pymedphys | cb34c992de8d442eced3385018a194364060092d | [
"Apache-2.0"
] | 2 | 2020-02-04T03:21:20.000Z | 2020-04-11T14:17:53.000Z | prototyping/auto-segmentation/mc_old_2/config_prostate_wdsc.py | ethanio12345/pymedphys | cb34c992de8d442eced3385018a194364060092d | [
"Apache-2.0"
] | 6 | 2020-10-06T15:36:46.000Z | 2022-02-27T05:15:17.000Z | examples/protyping/pymedphys-segmentation/config_prostate_wdsc.py | cpbhatt/pymedphys | 177b3db8e2a6e83c44835d0007d1d5c7a420fd99 | [
"Apache-2.0"
] | 1 | 2020-12-20T14:14:00.000Z | 2020-12-20T14:14:00.000Z | import loss as loss
import tensorflow as tf
# DATA
DATA_PATH = "./dataset_prostate_cleaned/"
MODEL_SAVE = "./prostate_wdsc/wdsc"
BATCH_SIZE = 1
OUTPUT_CHANNELS = 3
# COMPILING MODEL
LOSS = loss.weighted_dsc_loss
INITIAL_LR = 1e-5
OPTIMIZER = tf.keras.optimizers.Adam(lr=INITIAL_LR)
METRICS = [loss.dice_metric, tf.kera... | 21.545455 | 85 | 0.767932 |
8c595cb2431bc8ce9021445aa563a5dd60c46c5f | 2,753 | py | Python | karbor-1.3.0/karbor/tests/unit/clients/test_glance_client.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | 1 | 2021-05-23T01:48:25.000Z | 2021-05-23T01:48:25.000Z | karbor-1.3.0/karbor/tests/unit/clients/test_glance_client.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | 5 | 2019-08-14T06:46:03.000Z | 2021-12-13T20:01:25.000Z | karbor-1.3.0/karbor/tests/unit/clients/test_glance_client.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | 2 | 2020-03-15T01:24:15.000Z | 2020-07-22T20:34:26.000Z |
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# ... | 37.712329 | 78 | 0.616782 |
4b58dc456b5bfc5639f9639d3a68557c0aefda6a | 1,752 | py | Python | coin/settings.py | bluppfisk/coindicator | 4e128d5a034d39bdbac057299b9bdbc72243986a | [
"MIT"
] | null | null | null | coin/settings.py | bluppfisk/coindicator | 4e128d5a034d39bdbac057299b9bdbc72243986a | [
"MIT"
] | null | null | null | coin/settings.py | bluppfisk/coindicator | 4e128d5a034d39bdbac057299b9bdbc72243986a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# GSettings
from gi.repository import Gio
SCHEMA_ID = 'org.blf.indicator.coin'
DEFAULTS = {
'refresh': 30,
'exchange': 'kraken',
'assetpair-kraken': 'XXBTZUSD',
}
class Settings(object):
def __init__(self, manual_settings=None):
self.settings = None
self.man... | 30.736842 | 113 | 0.603881 |
22e9bce56c9e7596fab0a72c4e2725b2822f8c22 | 5,734 | py | Python | astley/transformer.py | yunruse/Astley | 31ca6b438dc46b01a463b30e92e5ee930ff8452c | [
"CC-BY-4.0"
] | 1 | 2020-11-28T23:10:38.000Z | 2020-11-28T23:10:38.000Z | astley/transformer.py | yunruse/Astley | 31ca6b438dc46b01a463b30e92e5ee930ff8452c | [
"CC-BY-4.0"
] | null | null | null | astley/transformer.py | yunruse/Astley | 31ca6b438dc46b01a463b30e92e5ee930ff8452c | [
"CC-BY-4.0"
] | null | null | null | """Modified stateful NodeTransformer with QOL functions."""
from ast import NodeTransformer
from _ast import AST
from types import CodeType
from io import TextIOBase
from functools import wraps
from .node import Node, parse, modify
from .nodes import Expression, expr
__all__ = "match Language Python".split()
def m... | 30.994595 | 86 | 0.590862 |
c2a65bba5b9703851af1b63ff8427cf923e1ef5e | 55 | py | Python | shamus/__init__.py | vladimyr/shamus | 1e7c016298e6776c258e64e07641c78dd9953ef5 | [
"MIT"
] | 2 | 2018-04-11T06:32:47.000Z | 2018-04-13T18:50:54.000Z | shamus/__init__.py | vladimyr/shamus | 1e7c016298e6776c258e64e07641c78dd9953ef5 | [
"MIT"
] | 3 | 2018-04-10T16:32:08.000Z | 2018-04-27T01:36:49.000Z | shamus/__init__.py | marinko-peso/shamus | aac345cc4edbd7dc5a2364e8372f7dc0bc2d731d | [
"MIT"
] | null | null | null | __all__ = [
'shamus'
]
from .shamus import shamus
| 9.166667 | 26 | 0.636364 |
2f3ea452a3b95458b80f27eaa21113b627dfd053 | 5,268 | py | Python | tests/test_client.py | wankes2000/json2parquet | b3aafdb9341b0b43018625809d6243aeeec690a7 | [
"MIT"
] | null | null | null | tests/test_client.py | wankes2000/json2parquet | b3aafdb9341b0b43018625809d6243aeeec690a7 | [
"MIT"
] | null | null | null | tests/test_client.py | wankes2000/json2parquet | b3aafdb9341b0b43018625809d6243aeeec690a7 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import os
import tempfile
import pandas as pd
import pyarrow as pa
from pyarrow import parquet as pq
from json2parquet import client
def test_ingest():
"""
Test ingesting data with a given schema
"""
schema = pa.schema([
pa.fi... | 30.275862 | 117 | 0.606492 |
84bc3d5912cbbfeb6a0504c24e8d9d3b9171416c | 1,526 | py | Python | src/digitalmarket/mixins.py | damansinghh/digital-marketplace | 3d1797716f39459950fcf10042603890335f7f55 | [
"MIT"
] | 104 | 2015-12-11T10:33:17.000Z | 2022-03-26T04:36:13.000Z | src/digitalmarket/mixins.py | damansinghh/digital-marketplace | 3d1797716f39459950fcf10042603890335f7f55 | [
"MIT"
] | 6 | 2020-06-06T01:20:49.000Z | 2022-03-12T00:32:27.000Z | src/digitalmarket/mixins.py | damansinghh/digital-marketplace | 3d1797716f39459950fcf10042603890335f7f55 | [
"MIT"
] | 85 | 2015-12-12T11:26:21.000Z | 2022-03-02T21:12:50.000Z | from django.contrib.admin.views.decorators import staff_member_required
from django.contrib.auth.decorators import login_required
from django.utils.decorators import method_decorator
from django.shortcuts import get_object_or_404
from .decorators import ajax_required
class AjaxRequiredMixin(object):
@method_decora... | 28.259259 | 76 | 0.766055 |
8c1e42326e82239c36b3cdff6f051ebf1fde5ba5 | 2,755 | py | Python | src/sphinx-rigado-theme/sphinx_rigado_theme/conf.py | mgeier/sphinx-themes.org | 5c057b569e4084ac061692f0bae3685fc4267c80 | [
"BSD-2-Clause"
] | null | null | null | src/sphinx-rigado-theme/sphinx_rigado_theme/conf.py | mgeier/sphinx-themes.org | 5c057b569e4084ac061692f0bae3685fc4267c80 | [
"BSD-2-Clause"
] | null | null | null | src/sphinx-rigado-theme/sphinx_rigado_theme/conf.py | mgeier/sphinx-themes.org | 5c057b569e4084ac061692f0bae3685fc4267c80 | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
#
# import os
# import sys
# sys.path.insert(0, os.path.abspath('.'))
# -- Project information -----------------------------------------------------
project = 'Sphinx-Themes template'
copyright = '2018, sphinx-themes.org'
author = 'sphinx-themes.org'
# The short X.Y version
version = ''
# Th... | 30.611111 | 78 | 0.690381 |
e94193bd9a1d6bee948b96c0d4a28c665bd600b8 | 68,078 | py | Python | pysnmp-with-texts/ELTEX-TAU8.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 8 | 2019-05-09T17:04:00.000Z | 2021-06-09T06:50:51.000Z | pysnmp-with-texts/ELTEX-TAU8.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 4 | 2019-05-31T16:42:59.000Z | 2020-01-31T21:57:17.000Z | pysnmp-with-texts/ELTEX-TAU8.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module ELTEX-TAU8 (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ELTEX-TAU8
# Produced by pysmi-0.3.4 at Wed May 1 13:02:27 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:... | 101.457526 | 7,230 | 0.761156 |
f222b124bc8b9c7b5efc886550cf878f89e07a9e | 5,378 | py | Python | opencamlib/scripts/cutter_shapes.py | JohnyEngine/CNC | e4c77250ab2b749d3014022cbb5eb9924e939993 | [
"Apache-2.0"
] | null | null | null | opencamlib/scripts/cutter_shapes.py | JohnyEngine/CNC | e4c77250ab2b749d3014022cbb5eb9924e939993 | [
"Apache-2.0"
] | null | null | null | opencamlib/scripts/cutter_shapes.py | JohnyEngine/CNC | e4c77250ab2b749d3014022cbb5eb9924e939993 | [
"Apache-2.0"
] | null | null | null | import ocl
import camvtk
import time
import vtk
import datetime
import math
def drawLoops(myscreen, loops, loopcolor):
nloop = 0
for lop in loops:
n = 0
N = len(lop)
first_point=ocl.Point(-1,-1,5)
previous=ocl.Point(-1,-1,5)
for p in lop:
if n==0: # don't dra... | 32.39759 | 138 | 0.594831 |
65260e9ceaea40f24409e0e48aa179d6d6915d49 | 4,446 | py | Python | tests/pgshovel/replication/streams/kafka.py | disqus/pgshovel | dc8039f9fe3331a99f10b7e6309151c08a292879 | [
"Apache-2.0"
] | 13 | 2015-08-21T09:10:23.000Z | 2021-08-15T20:26:00.000Z | tests/pgshovel/replication/streams/kafka.py | disqus/pgshovel | dc8039f9fe3331a99f10b7e6309151c08a292879 | [
"Apache-2.0"
] | 29 | 2015-08-14T03:09:55.000Z | 2015-09-15T19:29:14.000Z | tests/pgshovel/replication/streams/kafka.py | disqus/pgshovel | dc8039f9fe3331a99f10b7e6309151c08a292879 | [
"Apache-2.0"
] | 1 | 2015-08-26T05:55:33.000Z | 2015-08-26T05:55:33.000Z | from __future__ import absolute_import
import pytest
from itertools import islice
from kafka import (
KafkaClient,
SimpleProducer,
)
from tests.pgshovel.fixtures import (
cluster,
create_temporary_database,
)
from tests.pgshovel.streams.fixtures import (
DEFAULT_PUBLISHER,
begin,
transacti... | 28.683871 | 111 | 0.752587 |
f58ddb1ddf62a05f0e24140373df29ae83ad3606 | 712 | py | Python | setup.py | xinabox/Python-SH01 | 7805cc375d20ebbe05d15e032b9bab61bb94f9b8 | [
"MIT"
] | null | null | null | setup.py | xinabox/Python-SH01 | 7805cc375d20ebbe05d15e032b9bab61bb94f9b8 | [
"MIT"
] | null | null | null | setup.py | xinabox/Python-SH01 | 7805cc375d20ebbe05d15e032b9bab61bb94f9b8 | [
"MIT"
] | null | null | null | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="xinabox-SH01",
version="0.0.4",
author="Luqmaan Baboo",
author_email="luqmaanbaboo@gmail.com",
description="Capacitive touch sensor",
long_description=long_description,
long_descrip... | 29.666667 | 50 | 0.661517 |
b3dfbff3d725337976a3c708ae16db1c5e2f0e20 | 31,340 | py | Python | tools/Parser_and_Converters/python/pynmrml/nmrML.py | proccaserra/nmrML | ddddca05880c93e9f7bcdbbe5f1b2a3d0e2f8949 | [
"MIT"
] | 20 | 2015-02-04T23:23:11.000Z | 2022-03-06T12:58:01.000Z | tools/Parser_and_Converters/python/pynmrml/nmrML.py | proccaserra/nmrML | ddddca05880c93e9f7bcdbbe5f1b2a3d0e2f8949 | [
"MIT"
] | 85 | 2015-03-04T19:31:03.000Z | 2022-02-03T10:03:08.000Z | tools/Parser_and_Converters/python/pynmrml/nmrML.py | proccaserra/nmrML | ddddca05880c93e9f7bcdbbe5f1b2a3d0e2f8949 | [
"MIT"
] | 11 | 2015-01-19T06:19:16.000Z | 2022-02-03T10:04:11.000Z | #!/usr/bin/env python
#
# Generated Wed Oct 30 15:59:51 2013 by generateDS.py version 2.11a.
#
import sys
import nmrML_lib as supermod
etree_ = None
Verbose_import_ = False
(
XMLParser_import_none, XMLParser_import_lxml,
XMLParser_import_elementtree
) = range(3)
XMLParser_import_library = None
try:
# lx... | 50.224359 | 440 | 0.802074 |
7ecd589e27698d2148cf6f79674dfc710bf8077d | 17,481 | py | Python | bt/backtest.py | mirca/bt | 0363e6fa100d9392dd18e32e3d8379d5e83c28fa | [
"MIT"
] | 1 | 2021-05-07T19:40:16.000Z | 2021-05-07T19:40:16.000Z | bt/backtest.py | mirca/bt | 0363e6fa100d9392dd18e32e3d8379d5e83c28fa | [
"MIT"
] | null | null | null | bt/backtest.py | mirca/bt | 0363e6fa100d9392dd18e32e3d8379d5e83c28fa | [
"MIT"
] | 3 | 2021-05-07T19:40:22.000Z | 2022-01-19T19:37:15.000Z | """
Contains backtesting logic and objects.
"""
from __future__ import division
from copy import deepcopy
import bt
import ffn
import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
import pyprind
def run(*backtests):
"""
Runs a series of backtests and returns a Result
object containi... | 32.674766 | 79 | 0.59968 |
cc98866363e8e35e981b96bac7669d44081138cc | 571 | py | Python | app/models/book.py | hxj951103/fisher | 25208721970e7fd2b80743fce5648683578952ca | [
"MIT"
] | null | null | null | app/models/book.py | hxj951103/fisher | 25208721970e7fd2b80743fce5648683578952ca | [
"MIT"
] | null | null | null | app/models/book.py | hxj951103/fisher | 25208721970e7fd2b80743fce5648683578952ca | [
"MIT"
] | null | null | null | from sqlalchemy import Column, String, Integer
from flask_sqlalchemy import SQLAlchemy
db = SQLAlchemy()
class Book(db.Model):
id = Column(Integer, primary_key=True, autoincrement=True)
title = Column(String(50), nullable=False)
author = Column(String(30), default="伏名")
binding = Column(String(20))
... | 30.052632 | 62 | 0.69352 |
e0d054c1db72205e5113ae85fd80b75a499b60aa | 533 | py | Python | xanthosvis/tests/test_model.py | JGCRI/xanthosvis | 1a8c3396881f099272c298cfacd0ae95b1cc2195 | [
"BSD-2-Clause"
] | null | null | null | xanthosvis/tests/test_model.py | JGCRI/xanthosvis | 1a8c3396881f099272c298cfacd0ae95b1cc2195 | [
"BSD-2-Clause"
] | 1 | 2020-12-03T15:53:35.000Z | 2020-12-03T15:53:44.000Z | xanthosvis/tests/test_model.py | JGCRI/xanthosvis | 1a8c3396881f099272c298cfacd0ae95b1cc2195 | [
"BSD-2-Clause"
] | null | null | null | """Tests for the main functionality.
:author: Chris R. Vernon
:email: chris.vernon@pnnl.gov
License: BSD 2-Clause, see LICENSE and DISCLAIMER files
"""
import unittest
import xanthosvis.main as tester
class TestModel(unittest.TestCase):
"""Tests for the `ReadConfig` class that reads the input configura... | 20.5 | 92 | 0.701689 |
635f78da043974a74d583768256154d7fc648719 | 390 | py | Python | bitmovin_api_sdk/models/audio_volume_format.py | jaythecaesarean/bitmovin-api-sdk-python | 48166511fcb9082041c552ace55a9b66cc59b794 | [
"MIT"
] | 11 | 2019-07-03T10:41:16.000Z | 2022-02-25T21:48:06.000Z | bitmovin_api_sdk/models/audio_volume_format.py | jaythecaesarean/bitmovin-api-sdk-python | 48166511fcb9082041c552ace55a9b66cc59b794 | [
"MIT"
] | 8 | 2019-11-23T00:01:25.000Z | 2021-04-29T12:30:31.000Z | bitmovin_api_sdk/models/audio_volume_format.py | jaythecaesarean/bitmovin-api-sdk-python | 48166511fcb9082041c552ace55a9b66cc59b794 | [
"MIT"
] | 13 | 2020-01-02T14:58:18.000Z | 2022-03-26T12:10:30.000Z | # coding: utf-8
from enum import Enum
from six import string_types, iteritems
from bitmovin_api_sdk.common.poscheck import poscheck_model
class AudioVolumeFormat(Enum):
U8 = "U8"
S16 = "S16"
S32 = "S32"
U8P = "U8P"
S16P = "S16P"
S32P = "S32P"
S64 = "S64"
S64P = "S64P"
FLT = "FLT"
... | 17.727273 | 59 | 0.589744 |
ef524cd6c1a54a78b8ab3e73b6bad837db20aba6 | 1,220 | py | Python | adv/dragonyule_cleo.py | pfleg/dl | 0566bd5cac32feea7dfd082b199a44b05e8e1e04 | [
"Apache-2.0"
] | null | null | null | adv/dragonyule_cleo.py | pfleg/dl | 0566bd5cac32feea7dfd082b199a44b05e8e1e04 | [
"Apache-2.0"
] | null | null | null | adv/dragonyule_cleo.py | pfleg/dl | 0566bd5cac32feea7dfd082b199a44b05e8e1e04 | [
"Apache-2.0"
] | null | null | null | from core.advbase import *
from slot.d import *
def module():
return Dragonyule_Cleo
class Dragonyule_Cleo(Adv):
a1 = ('a',0.13,'hp70')
a3 = ('ecombo',30)
conf = {}
conf['slots.d'] = Gaibhne_and_Creidhne()
conf['acl'] = """
`dragon.act('c3 s end')
`s1
`s4
`s3, ... | 27.111111 | 83 | 0.57541 |
48acdc5cefbedacbedcfb15402e9476c7b25226e | 431 | py | Python | examples/test_varargs.py | Naereen/clime | 21507e263870690b42595a0dc2abee7e882079bc | [
"MIT"
] | 61 | 2015-01-06T13:10:11.000Z | 2021-01-21T07:07:23.000Z | examples/test_varargs.py | Naereen/clime | 21507e263870690b42595a0dc2abee7e882079bc | [
"MIT"
] | 11 | 2015-04-08T12:13:20.000Z | 2021-08-08T08:44:59.000Z | examples/test_varargs.py | Naereen/clime | 21507e263870690b42595a0dc2abee7e882079bc | [
"MIT"
] | 5 | 2015-12-09T16:06:59.000Z | 2018-11-10T00:42:06.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
def repeat(message, times=2, count=False, *args, **kargs):
'''It repeats the message.
options:
-m=<str>, --message=<str> The description of this option.
-t=<int>, --times=<int>
-c, --count
'''
print args, kargs
s = message * ti... | 22.684211 | 66 | 0.573086 |
7719d8da6675149a68666f7a7b27217f088de7da | 2,407 | py | Python | nimbleclient/v1/api/subnets.py | prachiruparelia-hpe/nimble-python-sdk | a3e99d89e647291caf7936300ae853d21d94d6e5 | [
"Apache-2.0"
] | 10 | 2020-03-10T20:06:36.000Z | 2022-02-16T17:55:21.000Z | nimbleclient/v1/api/subnets.py | prachiruparelia-hpe/nimble-python-sdk | a3e99d89e647291caf7936300ae853d21d94d6e5 | [
"Apache-2.0"
] | 21 | 2020-04-07T16:00:11.000Z | 2021-05-07T16:09:53.000Z | nimbleclient/v1/api/subnets.py | prachiruparelia-hpe/nimble-python-sdk | a3e99d89e647291caf7936300ae853d21d94d6e5 | [
"Apache-2.0"
] | 7 | 2020-03-11T03:45:31.000Z | 2020-09-14T18:06:03.000Z | #
# © Copyright 2020 Hewlett Packard Enterprise Development LP
#
# This file was auto-generated by the Python SDK generator; DO NOT EDIT.
#
from ...resource import Resource, Collection
from ...exceptions import NimOSAPIOperationUnsupported
class Subnet(Resource):
"""Search subnets information. Many networki... | 42.982143 | 177 | 0.687993 |
3013cc41bfe35741818a47ec5e0f8726016a26ed | 1,951 | py | Python | allauth/socialaccount/providers/openid/provider.py | manuganji/django-allauth | e7c5fe72c9f35190113572fd0e1c163d6d5e85ef | [
"MIT"
] | 2 | 2016-04-29T10:54:39.000Z | 2021-11-17T23:43:29.000Z | allauth/socialaccount/providers/openid/provider.py | manuganji/django-allauth | e7c5fe72c9f35190113572fd0e1c163d6d5e85ef | [
"MIT"
] | null | null | null | allauth/socialaccount/providers/openid/provider.py | manuganji/django-allauth | e7c5fe72c9f35190113572fd0e1c163d6d5e85ef | [
"MIT"
] | null | null | null | try:
from urllib.parse import urlparse
except ImportError:
from urlparse import urlparse
from django.core.urlresolvers import reverse
from django.utils.http import urlencode
from allauth.socialaccount import providers
from allauth.socialaccount.providers.base import Provider, ProviderAccount
class OpenIDAccou... | 34.22807 | 74 | 0.549974 |
fa1268b0be73386ef19d7e32fb1c43bf437572d9 | 1,212 | py | Python | vehicle_detection/visualize.py | ssarangi/self_driving_cars | 5494ad50ece98399a3f4b718249b34ce3ede864f | [
"Apache-2.0"
] | null | null | null | vehicle_detection/visualize.py | ssarangi/self_driving_cars | 5494ad50ece98399a3f4b718249b34ce3ede864f | [
"Apache-2.0"
] | null | null | null | vehicle_detection/visualize.py | ssarangi/self_driving_cars | 5494ad50ece98399a3f4b718249b34ce3ede864f | [
"Apache-2.0"
] | null | null | null | import matplotlib.pyplot as plt
import numpy as np
import cv2
import matplotlib.image as mpimg
from sklearn.externals import joblib
import glob
from vehicle_detection import *
def view_results(model):
files = list(glob.iglob("cropped/*.png"))
cols = 4
rows = len(files) // 5 + 1
fig, axis = plt.subpl... | 27.545455 | 80 | 0.605611 |
61f2d3528d92cba2d2fd6ab0f455ba4df9e87361 | 11,425 | py | Python | code/python/Publisher/v1/fds/sdk/Publisher/model/pa_calculation_column.py | factset/enterprise-sdk | 3fd4d1360756c515c9737a0c9a992c7451d7de7e | [
"Apache-2.0"
] | 6 | 2022-02-07T16:34:18.000Z | 2022-03-30T08:04:57.000Z | code/python/Publisher/v1/fds/sdk/Publisher/model/pa_calculation_column.py | factset/enterprise-sdk | 3fd4d1360756c515c9737a0c9a992c7451d7de7e | [
"Apache-2.0"
] | 2 | 2022-02-07T05:25:57.000Z | 2022-03-07T14:18:04.000Z | code/python/Publisher/v1/fds/sdk/Publisher/model/pa_calculation_column.py | factset/enterprise-sdk | 3fd4d1360756c515c9737a0c9a992c7451d7de7e | [
"Apache-2.0"
] | null | null | null | """
Publisher API
Allow clients to fetch Publisher Analytics through APIs. # noqa: E501
The version of the OpenAPI document: 2
Contact: analytics.api.support@factset.com
Generated by: https://openapi-generator.tech
"""
import re # noqa: F401
import sys # noqa: F401
from fds.sdk.Publisher.mod... | 43.773946 | 121 | 0.571729 |
5a0b3b25545a353aea5a949734d7e680e83ecb16 | 2,080 | py | Python | system_metrics_collector/test/test_topic_statistics_e2e.py | ros-tooling/system_metrics_collector | 59acb990b3007210c11138ca22d34bb4a892cc05 | [
"Apache-2.0"
] | 19 | 2019-10-30T23:57:46.000Z | 2021-06-11T09:24:20.000Z | system_metrics_collector/test/test_topic_statistics_e2e.py | ros-tooling/system_metrics_collector | 59acb990b3007210c11138ca22d34bb4a892cc05 | [
"Apache-2.0"
] | 192 | 2019-11-04T17:32:06.000Z | 2021-06-09T17:08:20.000Z | system_metrics_collector/test/test_topic_statistics_e2e.py | ros-tooling/system_metrics_collector | 59acb990b3007210c11138ca22d34bb4a892cc05 | [
"Apache-2.0"
] | 9 | 2019-12-10T13:02:39.000Z | 2022-01-11T20:20:16.000Z | # Copyright 2020 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... | 35.254237 | 93 | 0.764904 |
07719e42dc2098d5f03540cfe4df762e06d1bc26 | 11,591 | py | Python | avglyriccounter/musicbrainz.py | anttikyl/avglyriccounter | 18da6d3fac123a1fedb68f4fca9c4482756a5fdd | [
"MIT"
] | null | null | null | avglyriccounter/musicbrainz.py | anttikyl/avglyriccounter | 18da6d3fac123a1fedb68f4fca9c4482756a5fdd | [
"MIT"
] | null | null | null | avglyriccounter/musicbrainz.py | anttikyl/avglyriccounter | 18da6d3fac123a1fedb68f4fca9c4482756a5fdd | [
"MIT"
] | null | null | null | import requests
import threading
from time import sleep
import logging
log = logging.getLogger("avglyriccounter")
class MusicBrainzClient():
"""
A class used to communicate with the MusicBrainz API.
Wraps endpoints into easy to use methods.
Only allows one request per second to honor MusicBrainz's r... | 38.380795 | 165 | 0.632905 |
1d4f61b7a5a15cc09af03bee105371aba575dc67 | 1,926 | py | Python | 1d_cnn-iot/webhook.py | zibuyu1995/DeepLearning | 686c33984d9fb392fdc19f8f9c4a12f6114dc82f | [
"MIT"
] | null | null | null | 1d_cnn-iot/webhook.py | zibuyu1995/DeepLearning | 686c33984d9fb392fdc19f8f9c4a12f6114dc82f | [
"MIT"
] | 5 | 2021-06-08T22:32:23.000Z | 2022-02-10T02:48:44.000Z | 1d_cnn-iot/webhook.py | zibuyu1995/DeepLearning | 686c33984d9fb392fdc19f8f9c4a12f6114dc82f | [
"MIT"
] | null | null | null | import asyncio
import json
import numpy as np
import uvicorn
from keras.models import load_model
from sklearn.preprocessing import StandardScaler
from starlette.applications import Starlette
from starlette.background import BackgroundTask
from starlette.responses import JSONResponse
app = Starlette()
queue = asyncio... | 24.692308 | 93 | 0.643302 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.