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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
978a831843efed4c9a546c08310214668dcc7a6e | 7,009 | py | Python | docs/database_tables.py | wdr-data/wdr-okr | 71c9e6e8d3521b1bb67d30310a93584389de2127 | [
"MIT"
] | 2 | 2021-07-28T08:46:13.000Z | 2022-01-19T17:05:48.000Z | docs/database_tables.py | wdr-data/wdr-okr | 71c9e6e8d3521b1bb67d30310a93584389de2127 | [
"MIT"
] | 3 | 2020-11-10T23:34:17.000Z | 2021-03-31T16:19:21.000Z | docs/database_tables.py | wdr-data/wdr-okr | 71c9e6e8d3521b1bb67d30310a93584389de2127 | [
"MIT"
] | null | null | null | """Read database information from Django models and create a HTML table for the
documentation.
"""
import collections
import os
import sys
import django
from loguru import logger
DOCS_DIR = os.path.dirname(os.path.abspath(__file__))
BASE_DIR = os.path.dirname(DOCS_DIR)
sys.path.insert(0, BASE_DIR)
os.environ["DJANG... | 38.092391 | 194 | 0.542017 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,999 | 0.42733 |
978c3f0eef7e90463917faf45f6b1c6c86a54b70 | 5,454 | py | Python | LibraryManagementSystem/settings.py | TejasJogi/Library-Management-System-Django-MYSQL | f6dd1910d4270e42ac200b4eb47f2e76cb0c296d | [
"MIT"
] | 2 | 2021-11-26T16:21:05.000Z | 2022-02-25T16:02:48.000Z | LibraryManagementSystem/settings.py | TejasJogi/Library-Management-System-Django-MYSQL | f6dd1910d4270e42ac200b4eb47f2e76cb0c296d | [
"MIT"
] | null | null | null | LibraryManagementSystem/settings.py | TejasJogi/Library-Management-System-Django-MYSQL | f6dd1910d4270e42ac200b4eb47f2e76cb0c296d | [
"MIT"
] | null | null | null | """
Django settings for LibraryManagementSystem project.
Generated by 'django-admin startproject' using Django 3.2.9.
For more information on this file, see
https://docs.djangoproject.com/en/3.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.2/ref/settings/
"... | 24.790909 | 103 | 0.706637 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,419 | 0.626879 |
978c454e2c28df828f082014fc81cd881d17aa27 | 2,497 | py | Python | device/container/src/baseline_device/service/jobs/sample2.py | MartinMReed/aws-iot-baseline | 61bdc51708e6f4480d0117a43f0adde5f6a63506 | [
"MIT"
] | 1 | 2021-12-31T05:05:30.000Z | 2021-12-31T05:05:30.000Z | device/container/src/baseline_device/service/jobs/sample2.py | nelsestu/thing-expert | 2e105d718c386258d8efdb329ea60da1072ffbe8 | [
"MIT"
] | null | null | null | device/container/src/baseline_device/service/jobs/sample2.py | nelsestu/thing-expert | 2e105d718c386258d8efdb329ea60da1072ffbe8 | [
"MIT"
] | 1 | 2021-04-05T23:44:12.000Z | 2021-04-05T23:44:12.000Z | import json
import logging
import os
import sys
import threading
import time
import paho.mqtt.client as paho
import paho.mqtt.publish as paho_publish
from baseline_device.util.config import config
from baseline_device.util.mqtt import MqttLoggingHandler
logging.basicConfig(level=logging.INFO)
logger = logging.getLog... | 26.284211 | 109 | 0.673208 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 834 | 0.334001 |
978cde5321a929429de3c79977503bd4e3e5a2f0 | 12,183 | py | Python | odoo-13.0/addons/sale/tests/test_onchange.py | VaibhavBhujade/Blockchain-ERP-interoperability | b5190a037fb6615386f7cbad024d51b0abd4ba03 | [
"MIT"
] | 12 | 2021-03-26T08:39:40.000Z | 2022-03-16T02:20:10.000Z | odoo-13.0/addons/sale/tests/test_onchange.py | VaibhavBhujade/Blockchain-ERP-interoperability | b5190a037fb6615386f7cbad024d51b0abd4ba03 | [
"MIT"
] | 13 | 2020-12-20T16:00:21.000Z | 2022-03-14T14:55:30.000Z | odoo-13.0/addons/sale/tests/test_onchange.py | VaibhavBhujade/Blockchain-ERP-interoperability | b5190a037fb6615386f7cbad024d51b0abd4ba03 | [
"MIT"
] | 17 | 2020-08-31T11:18:49.000Z | 2022-02-09T05:57:31.000Z | # -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
from odoo.tests import Form
from odoo.tests.common import TransactionCase
class TestOnchangeProductId(TransactionCase):
"""Test that when an included tax is mapped by a fiscal position, the included tax must be
... | 44.790441 | 204 | 0.583682 | 12,006 | 0.985472 | 0 | 0 | 0 | 0 | 0 | 0 | 4,057 | 0.333005 |
978e392b87cb419fb505337ab4cee06b350097b0 | 8,390 | py | Python | IEX_29id/utils/folders.py | kellyjelly0904/macros_29id | 573946d13eee7f85da049ac666b5dd2d18d19bb1 | [
"MIT"
] | null | null | null | IEX_29id/utils/folders.py | kellyjelly0904/macros_29id | 573946d13eee7f85da049ac666b5dd2d18d19bb1 | [
"MIT"
] | 1 | 2021-11-10T02:00:41.000Z | 2021-11-11T03:02:23.000Z | IEX_29id/utils/folders.py | kellyjelly0904/macros_29id | 573946d13eee7f85da049ac666b5dd2d18d19bb1 | [
"MIT"
] | 2 | 2021-09-28T21:19:47.000Z | 2021-10-12T20:51:43.000Z | from epics import caput
from IEX_29id.utils.exp import Check_run, BL_Mode_Set, BL_ioc
from IEX_29id.mda.file import MDA_CurrentDirectory
from IEX_29id.mda.file import MDA_CurrentRun
import os
import re
def Make_DataFolder(run,folder,UserName,scanIOC,ftp): #JM was here ->print full crontab command and change permi... | 40.143541 | 297 | 0.590703 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,428 | 0.408582 |
978f1fcb3bef9348f27a0824ad9894eb219d2595 | 2,932 | py | Python | sceance/set_watchlist.py | sjmignot/film-to-cal | 82d5e96b65197ff96522324d6527fca6f18cc76b | [
"MIT"
] | 6 | 2020-02-05T21:31:57.000Z | 2020-03-08T00:35:16.000Z | sceance/set_watchlist.py | sjmignot/film-to-cal | 82d5e96b65197ff96522324d6527fca6f18cc76b | [
"MIT"
] | null | null | null | sceance/set_watchlist.py | sjmignot/film-to-cal | 82d5e96b65197ff96522324d6527fca6f18cc76b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
'''
Starts a Firfox headless brower to see if movies on your watchlist are playing
at any of your favorite theaters.
Favorite theaters are taken from a txt file (extracted from "theaters.txt").
These showtimes are compared to a watchlist (extracted from "watchlist.txt")
-samuel mignot-
'''
# ... | 32.21978 | 115 | 0.62824 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,206 | 0.411323 |
978fc91e48a69b62fda28f8d703d52a062332e01 | 177 | py | Python | app/routes/views.py | izconcept/Turnt | 28d25ebfbd43aa6472aa1f0eec7e73ec1b8d15d3 | [
"Apache-2.0"
] | 4 | 2018-01-29T05:51:32.000Z | 2018-02-08T05:18:47.000Z | app/routes/views.py | izconcept/Turnt | 28d25ebfbd43aa6472aa1f0eec7e73ec1b8d15d3 | [
"Apache-2.0"
] | 3 | 2018-01-30T21:41:09.000Z | 2018-01-31T18:20:01.000Z | app/routes/views.py | izconcept/Turnt | 28d25ebfbd43aa6472aa1f0eec7e73ec1b8d15d3 | [
"Apache-2.0"
] | 1 | 2019-03-29T19:32:28.000Z | 2019-03-29T19:32:28.000Z | from app import app, drinks
from flask import render_template, session, redirect, request
@app.route('/')
def index():
return render_template('index.html', drinks=drinks)
| 22.125 | 61 | 0.745763 | 0 | 0 | 0 | 0 | 84 | 0.474576 | 0 | 0 | 15 | 0.084746 |
978fd61709e98a6a4163084a70975c96d6b7f512 | 21,143 | py | Python | ARHMM-code/olfactory_search_xval.py | Smear-Lab/Olfactory_Search | 92ea57cdd49b9c1d88ffe5d7b18a0be2cd73f0ff | [
"MIT"
] | null | null | null | ARHMM-code/olfactory_search_xval.py | Smear-Lab/Olfactory_Search | 92ea57cdd49b9c1d88ffe5d7b18a0be2cd73f0ff | [
"MIT"
] | null | null | null | ARHMM-code/olfactory_search_xval.py | Smear-Lab/Olfactory_Search | 92ea57cdd49b9c1d88ffe5d7b18a0be2cd73f0ff | [
"MIT"
] | null | null | null | #Misc
import os, time, argparse
import h5py, json
import glob, fnmatch,pdb
from tqdm import tqdm
import multiprocessing
#Base
import numpy as np
import pandas as pd
import scipy.stats as st
from sklearn.model_selection import StratifiedKFold
#Plotting
import matplotlib
matplotlib.use('Agg')
import seaborn as sns
from m... | 40.895551 | 185 | 0.62328 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7,031 | 0.332545 |
9793545d6d0e47925c766734e2f8f75b3b0595d3 | 1,402 | py | Python | src/pyeff_io.py | pyflosic/pyeff | 4b76fcc4a0bfb25f9f4106567d01b5ea02db6737 | [
"Apache-2.0"
] | 3 | 2019-06-24T08:04:25.000Z | 2020-05-26T03:45:45.000Z | src/pyeff_io.py | pyflosic/pyeff | 4b76fcc4a0bfb25f9f4106567d01b5ea02db6737 | [
"Apache-2.0"
] | null | null | null | src/pyeff_io.py | pyflosic/pyeff | 4b76fcc4a0bfb25f9f4106567d01b5ea02db6737 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 PyEFF developers
#
# 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 agree... | 40.057143 | 131 | 0.574893 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 738 | 0.526391 |
979375047a16643d63291a0d8aad8d8fc63735f2 | 22,196 | py | Python | declarations_site/catalog/data/mapping_chesno.py | li-ar/declarations.com.ua | 343cd86cc5a4bd895f2859ed896728f6416ac223 | [
"MIT"
] | 32 | 2015-04-01T15:17:35.000Z | 2021-05-02T20:46:33.000Z | declarations_site/catalog/data/mapping_chesno.py | li-ar/declarations.com.ua | 343cd86cc5a4bd895f2859ed896728f6416ac223 | [
"MIT"
] | 52 | 2015-03-23T21:37:04.000Z | 2022-02-10T07:27:13.000Z | declarations_site/catalog/data/mapping_chesno.py | li-ar/declarations.com.ua | 343cd86cc5a4bd895f2859ed896728f6416ac223 | [
"MIT"
] | 18 | 2015-03-16T22:10:44.000Z | 2021-11-01T12:56:12.000Z | from collections import namedtuple
SubDocument = namedtuple("SubDocument", ["path_prefix", "mapping"])
NumericOperation = namedtuple("NumericOperation", ["path_prefix", "field", "operation"])
JoinOperation = namedtuple("JoinOperation", ["paths", "separator"])
MAPPING = {
"_id": "details/id",
"intro": {
... | 34.573209 | 88 | 0.421157 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10,619 | 0.47842 |
9793ec4954370ea87c1224757843713b7976c1e3 | 3,179 | py | Python | common/threads/thread_pool.py | ziizhuwy/cify | 627ae74f6a27d803521df213e8644366dbba183f | [
"Apache-2.0"
] | 8 | 2018-10-11T16:05:14.000Z | 2020-12-30T08:21:15.000Z | common/threads/thread_pool.py | keven1z/cify | 627ae74f6a27d803521df213e8644366dbba183f | [
"Apache-2.0"
] | 1 | 2020-04-22T03:36:59.000Z | 2020-06-11T06:42:42.000Z | common/threads/thread_pool.py | ziizhuwy/cify | 627ae74f6a27d803521df213e8644366dbba183f | [
"Apache-2.0"
] | 4 | 2019-07-10T06:51:45.000Z | 2020-04-19T09:52:09.000Z |
# !/usr/bin/env python
# -*- coding:utf-8 -*-
import queue
import threading
import traceback
from data.config import *
from common.log.log_util import LogUtil as log
logger = log.getLogger(__name__)
class ThreadPool(object):
def __init__(self):
self.task_queue = queue.Queue()
self.threads = []... | 32.773196 | 113 | 0.557093 | 2,970 | 0.934256 | 0 | 0 | 0 | 0 | 0 | 0 | 1,152 | 0.362378 |
9794d489e11c9d85b61fcfda17b5fcf122b391c0 | 4,431 | py | Python | whatsappy/group.py | YohananDiamond/whatsappy | 2474839baf32295fea568c4dd30c59edace11e58 | [
"MIT"
] | null | null | null | whatsappy/group.py | YohananDiamond/whatsappy | 2474839baf32295fea568c4dd30c59edace11e58 | [
"MIT"
] | null | null | null | whatsappy/group.py | YohananDiamond/whatsappy | 2474839baf32295fea568c4dd30c59edace11e58 | [
"MIT"
] | null | null | null | from time import sleep
from selenium.webdriver.common.keys import Keys
from os import path
from .tool import *
from .error import BadPathError
import traceback
def change_group_description(self, description: str):
"""Changes the group description
Args:
description (str): New group description
"""... | 31.204225 | 128 | 0.594223 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,988 | 0.446641 |
97959af172f3896c43a9153dc3a145cbbaa7178b | 365 | py | Python | Books/GodOfPython/P16_Networking/SimplehttpServer.py | Tim232/Python-Things | 05f0f373a4cf298e70d9668c88a6e3a9d1cd8146 | [
"MIT"
] | 2 | 2020-12-05T07:42:55.000Z | 2021-01-06T23:23:18.000Z | Books/GodOfPython/P16_Networking/SimplehttpServer.py | Tim232/Python-Things | 05f0f373a4cf298e70d9668c88a6e3a9d1cd8146 | [
"MIT"
] | null | null | null | Books/GodOfPython/P16_Networking/SimplehttpServer.py | Tim232/Python-Things | 05f0f373a4cf298e70d9668c88a6e3a9d1cd8146 | [
"MIT"
] | null | null | null | from http.server import HTTPServer, SimpleHTTPRequestHandler
import sys
ip = '127.0.0.1'
port = 8000
addr = (ip, port)
httpd = HTTPServer(addr, SimpleHTTPRequestHandler)
Servip, Servport = httpd.socket.getsockname()
try:
httpd.serve_forever()
except KeyboardInterrupt:
print('Keyboard interrupt received, exi... | 20.277778 | 60 | 0.750685 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 0.136986 |
9796d5c78ed8b8b2d57b57dbb718992d6e9e2e56 | 935 | py | Python | 2020/day10.py | mbmackenzie/advent-of-code | 66ef2723b67c84b9c03e05281106fb2811da17a1 | [
"MIT"
] | null | null | null | 2020/day10.py | mbmackenzie/advent-of-code | 66ef2723b67c84b9c03e05281106fb2811da17a1 | [
"MIT"
] | null | null | null | 2020/day10.py | mbmackenzie/advent-of-code | 66ef2723b67c84b9c03e05281106fb2811da17a1 | [
"MIT"
] | null | null | null | """Day 10: Adapter Array"""
from collections import Counter
from collections import defaultdict
from aoc import Solution
class Day10(Solution):
"""Solution to day 10 of the 2020 Advent of Code"""
def __init__(self) -> None:
super().__init__(2020, 10, "Adapter Array")
@property
def max_jolta... | 25.972222 | 85 | 0.594652 | 810 | 0.86631 | 0 | 0 | 126 | 0.134759 | 0 | 0 | 134 | 0.143316 |
97970c5a1a0f3349fb93a725c6270efcd0b82297 | 874 | py | Python | train.py | groverkds/hand_sign_recognition | 4ae05c43af869e990acc636b0a031f903709dfbc | [
"Apache-2.0"
] | 3 | 2020-02-18T07:12:42.000Z | 2022-01-07T14:35:42.000Z | train.py | polawarrushi/hand_sign_recognition | 493b3568c462280533a33cab592008c91da1f999 | [
"Apache-2.0"
] | null | null | null | train.py | polawarrushi/hand_sign_recognition | 493b3568c462280533a33cab592008c91da1f999 | [
"Apache-2.0"
] | 8 | 2019-05-22T15:45:17.000Z | 2021-09-15T17:28:50.000Z | import numpy as np
import pickle
from sklearn.model_selection import train_test_split
from sklearn import svm
from sklearn import metrics
import pandas as pd
with open('data/dataframe.pickle', 'rb') as handle:
df = pickle.load(handle)
data = df.copy()
data.drop('alphabet', axis=1)
target = df.alphabet
X_train, X_tes... | 30.137931 | 125 | 0.771167 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 286 | 0.327231 |
9797b5af874059d81d0e5f547824f391670ed073 | 56 | py | Python | gnoll/actions/dispatch.py | gnoll-project/gnoll-python | cf2540d2220733ba2203d86ca939fa64f38d0af0 | [
"MIT"
] | null | null | null | gnoll/actions/dispatch.py | gnoll-project/gnoll-python | cf2540d2220733ba2203d86ca939fa64f38d0af0 | [
"MIT"
] | null | null | null | gnoll/actions/dispatch.py | gnoll-project/gnoll-python | cf2540d2220733ba2203d86ca939fa64f38d0af0 | [
"MIT"
] | null | null | null | from pyee import EventEmitter
dispatch = EventEmitter()
| 18.666667 | 29 | 0.821429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
979851dc526feb93a60dbe69c32893824847ba79 | 1,217 | py | Python | dataclasses_serialization/serializer_base/dataclasses.py | blfoster/python-dataclasses-serialization | 1a2d1fc15ca1800c2b4953fe5cb2557f37d1475d | [
"MIT"
] | 19 | 2019-04-15T15:57:20.000Z | 2021-07-09T07:01:12.000Z | dataclasses_serialization/serializer_base/dataclasses.py | blfoster/python-dataclasses-serialization | 1a2d1fc15ca1800c2b4953fe5cb2557f37d1475d | [
"MIT"
] | 14 | 2019-08-01T13:03:53.000Z | 2021-04-20T13:26:54.000Z | dataclasses_serialization/serializer_base/dataclasses.py | blfoster/python-dataclasses-serialization | 1a2d1fc15ca1800c2b4953fe5cb2557f37d1475d | [
"MIT"
] | 11 | 2019-06-13T21:38:55.000Z | 2022-02-28T08:53:20.000Z | from toolz import curry
from dataclasses_serialization.serializer_base.errors import DeserializationError
from dataclasses_serialization.serializer_base.noop import noop_deserialization
from dataclasses_serialization.serializer_base.typing import (
dataclass_field_types,
isinstance,
)
__all__ = ["dict_to_data... | 29.682927 | 87 | 0.642564 | 0 | 0 | 0 | 0 | 886 | 0.72802 | 0 | 0 | 158 | 0.129827 |
97992e047d22c07ba264c49af6fa5aef078bd341 | 905 | py | Python | pydrift/decorators.py | sergiocalde94/pydrift | 8d8968ca80895cc31e86bc55df57ad64712e36d8 | [
"MIT"
] | 18 | 2020-06-27T21:05:18.000Z | 2021-12-20T15:14:57.000Z | pydrift/decorators.py | sergiocalde94/pydrift | 8d8968ca80895cc31e86bc55df57ad64712e36d8 | [
"MIT"
] | 5 | 2021-02-03T17:53:53.000Z | 2021-04-23T14:03:36.000Z | pydrift/decorators.py | sergiocalde94/pydrift | 8d8968ca80895cc31e86bc55df57ad64712e36d8 | [
"MIT"
] | 7 | 2020-06-07T10:51:41.000Z | 2021-06-13T20:23:28.000Z | from functools import wraps
def check_optional_module(_func=None,
*,
has_module: bool,
exception_message: str):
def decorator_check_optional_module(func):
@wraps(func)
def wrapper_check_optional_module(*args, **kwargs):
... | 31.206897 | 67 | 0.640884 | 0 | 0 | 0 | 0 | 368 | 0.40663 | 0 | 0 | 0 | 0 |
979b32ffcbb69c325f9cc6f26076b4bf72ce74b8 | 93 | py | Python | django-version/djversion/apps.py | sarath196/django-mptt-demo-re-version | d570aa8612c0bf838c191a7a8a1b3f57bf2be16f | [
"MIT"
] | null | null | null | django-version/djversion/apps.py | sarath196/django-mptt-demo-re-version | d570aa8612c0bf838c191a7a8a1b3f57bf2be16f | [
"MIT"
] | null | null | null | django-version/djversion/apps.py | sarath196/django-mptt-demo-re-version | d570aa8612c0bf838c191a7a8a1b3f57bf2be16f | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class DjversionConfig(AppConfig):
name = 'djversion'
| 15.5 | 33 | 0.763441 | 56 | 0.602151 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0.11828 |
979b57b2f520e53382dbdd26bd190261e6e49b86 | 9,359 | py | Python | DQN_Qlearning/agent.py | WoShiDongZhiWu/Reinforcement-learning-Algorithm | 59fdf29e7feb73048b9ddf3b4755b55f0459efcb | [
"Apache-2.0"
] | 1 | 2019-12-23T02:59:13.000Z | 2019-12-23T02:59:13.000Z | DQN_Qlearning/agent.py | WoShiDongZhiWu/reinforcement-learning-algorithm | 59fdf29e7feb73048b9ddf3b4755b55f0459efcb | [
"Apache-2.0"
] | null | null | null | DQN_Qlearning/agent.py | WoShiDongZhiWu/reinforcement-learning-algorithm | 59fdf29e7feb73048b9ddf3b4755b55f0459efcb | [
"Apache-2.0"
] | null | null | null | '''
#################################################################################################
# author wudong
# date 20190812
# 功能
# 实现各类算法，Srasa(0),Sarsa(λ),Q-learning,DQN
#################################################################################################
'''
from random import random, choic... | 35.316981 | 105 | 0.543862 | 9,519 | 0.929136 | 0 | 0 | 0 | 0 | 0 | 0 | 2,473 | 0.241386 |
979c4c7ab54f0e47ec7248d0082811b92e99c917 | 3,649 | py | Python | DMProject/15.package/15.7.MNIST.py | gongjunhuang/Spider | c683137dafac9c7f4afd359baf9d0717d1a127e2 | [
"Apache-2.0"
] | 1 | 2018-02-26T15:45:17.000Z | 2018-02-26T15:45:17.000Z | DMProject/15.package/15.7.MNIST.py | gongjunhuang/Spider | c683137dafac9c7f4afd359baf9d0717d1a127e2 | [
"Apache-2.0"
] | null | null | null | DMProject/15.package/15.7.MNIST.py | gongjunhuang/Spider | c683137dafac9c7f4afd359baf9d0717d1a127e2 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# -*- coding:utf-8 -*-
import numpy as np
from sklearn import svm
import matplotlib.colors
import matplotlib.pyplot as plt
from PIL import Image
from sklearn.metrics import accuracy_score
import pandas as pd
import os
import csv
from sklearn.model_selection import train_test_split
from sklearn.model_... | 35.086538 | 132 | 0.64456 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 697 | 0.179316 |
979c80762641e4c8d009fdd05535ea43eb570cd2 | 4,122 | py | Python | examples/collision-avoid/pyplot_staticplan.py | yinanl/rocs | bf2483903e39f4c0ea254a9ef56720a1259955ad | [
"BSD-3-Clause"
] | null | null | null | examples/collision-avoid/pyplot_staticplan.py | yinanl/rocs | bf2483903e39f4c0ea254a9ef56720a1259955ad | [
"BSD-3-Clause"
] | null | null | null | examples/collision-avoid/pyplot_staticplan.py | yinanl/rocs | bf2483903e39f4c0ea254a9ef56720a1259955ad | [
"BSD-3-Clause"
] | null | null | null | import matplotlib.pyplot as plt
import matplotlib.patches as patches
import matplotlib.animation as animation
import matplotlib.colors as mcolors
from scipy.interpolate import interp1d
from scipy.integrate import solve_ivp
import os
import re
import numpy as np
import h5py
import sys
from os.path import dirname, realpa... | 30.761194 | 83 | 0.607472 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 696 | 0.16885 |
979eeaea89fd74c57893ede5d89f60a48b582ae8 | 2,394 | py | Python | source/script/FASelector_SRC/Type/.JPG.py | onsoim/FuzzBuilderEx | d0e8bada27677a0f676e92dc48aaa764ba679508 | [
"Apache-2.0"
] | 6 | 2021-03-27T06:07:01.000Z | 2022-03-29T04:54:03.000Z | source/script/FASelector_SRC/Type/.JPG.py | onsoim/FuzzBuilderEx | d0e8bada27677a0f676e92dc48aaa764ba679508 | [
"Apache-2.0"
] | 4 | 2021-03-24T00:10:59.000Z | 2022-03-28T13:41:28.000Z | source/script/FASelector_SRC/Type/.JPG.py | onsoim/FuzzBuilderEx | d0e8bada27677a0f676e92dc48aaa764ba679508 | [
"Apache-2.0"
] | 2 | 2021-04-05T06:22:20.000Z | 2021-10-01T21:07:18.000Z | #-*- coding:utf-8 -*-
import os
import re
class folder():
def __init__(self,path):
self.path = path
if path[-1] != '/':
self.path += '/'
self.filelist = []
self.get_filelist()
def get_filelist(self):
tmp = os.listdir(self.path)
for test in tmp:
test = self.path + test
if os.path.isfile(test):... | 27.837209 | 81 | 0.621554 | 1,060 | 0.442774 | 0 | 0 | 0 | 0 | 0 | 0 | 395 | 0.164996 |
979f6be94ead98ea08a3e58188d707e4861320f7 | 3,656 | py | Python | Constants.py | unmonk/Project-Infinity | 63c22fcf4086adf868967cb172434e3ceba4bac5 | [
"CC0-1.0"
] | null | null | null | Constants.py | unmonk/Project-Infinity | 63c22fcf4086adf868967cb172434e3ceba4bac5 | [
"CC0-1.0"
] | null | null | null | Constants.py | unmonk/Project-Infinity | 63c22fcf4086adf868967cb172434e3ceba4bac5 | [
"CC0-1.0"
] | null | null | null | __author__ = 'Scott'
import os
import pygame
SCREEN_WIDTH = 1280
SCREEN_HEIGHT = 720
GAME_TITLE = "Project Infinity"
MAP_COLLISION_LAYER = 2
MAP_DEATH_LAYER = 3
MAP_BACKGROUND_LAYER = 0
MAP_FORGROUND_LAYER = 1
MAP_ENDOFLEVEL_LAYER = 5
MAP_ITEM_LAYER = 4
BACKGROUND_COLOR = (20, 20, 20)
screen = pygame.display.set_mode(... | 34.490566 | 105 | 0.671772 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,101 | 0.301149 |
97a1ff60f08e5d9b17054c1f2b8239c0c712ac7b | 17,655 | py | Python | vol3/vol3-python-examples/lib/aifh/som.py | Sun-Joong/aifh | 1b6363d26f54b77348020ce88ced0670568ed736 | [
"Apache-2.0"
] | 777 | 2015-01-17T22:48:26.000Z | 2022-03-31T01:10:07.000Z | vol3/vol3-python-examples/lib/aifh/som.py | Sun-Joong/aifh | 1b6363d26f54b77348020ce88ced0670568ed736 | [
"Apache-2.0"
] | 17 | 2015-01-02T14:41:24.000Z | 2017-09-02T02:57:09.000Z | vol3/vol3-python-examples/lib/aifh/som.py | Sun-Joong/aifh | 1b6363d26f54b77348020ce88ced0670568ed736 | [
"Apache-2.0"
] | 445 | 2015-01-26T17:01:49.000Z | 2022-03-24T07:16:58.000Z | #!/usr/bin/env python
"""
Artificial Intelligence for Humans
Volume 3: Deep Learning and Neural Networks
Python Version
http://www.aifh.org
http://www.jeffheaton.com
Code repository:
https://github.com/jeffheaton/aifh
Copyright 2015 by Jeff Heaton
Licensed under the Apache License, V... | 37.886266 | 114 | 0.63625 | 16,599 | 0.940187 | 0 | 0 | 0 | 0 | 0 | 0 | 9,625 | 0.545171 |
97a29197dc50e799d9651b87306ebbcdd023348a | 458 | py | Python | loader.py | AmaRocket/TMDBMovieBotTelegram | 07d248da0ee5c20e788612814f964917748474ba | [
"MIT"
] | null | null | null | loader.py | AmaRocket/TMDBMovieBotTelegram | 07d248da0ee5c20e788612814f964917748474ba | [
"MIT"
] | null | null | null | loader.py | AmaRocket/TMDBMovieBotTelegram | 07d248da0ee5c20e788612814f964917748474ba | [
"MIT"
] | null | null | null | import logging
import asyncio
from aiogram import Bot, Dispatcher
from aiogram.contrib.fsm_storage.memory import MemoryStorage
import config
loop = asyncio.get_event_loop()
bot = Bot(token=config.token, parse_mode='HTML')
storage = MemoryStorage()
dp = Dispatcher(bot, storage=storage)
logging.basicConfig(format=u'%... | 26.941176 | 105 | 0.69869 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 0.181223 |
97a4368e398e0b9f09d0d9196d816ae5a12f9c17 | 4,729 | py | Python | animator/entity/basic_shape.py | sherlockdoyle/Animator | 5c1bec50e7e120db36a8a333fa7ddcdaf10dda3b | [
"MIT"
] | null | null | null | animator/entity/basic_shape.py | sherlockdoyle/Animator | 5c1bec50e7e120db36a8a333fa7ddcdaf10dda3b | [
"MIT"
] | null | null | null | animator/entity/basic_shape.py | sherlockdoyle/Animator | 5c1bec50e7e120db36a8a333fa7ddcdaf10dda3b | [
"MIT"
] | null | null | null | import math
from animator.entity import Entity
from animator.constant import *
__all__ = ["Circle", "Ellipse", "Rect", "Square", "Poly"]
class Circle(Entity):
"""
Draws a circle on the scene.
:param r:
The radius of the circle. Default is 0
"""
def __init__(self, r=UNIT, **kwargs):
... | 33.778571 | 117 | 0.550011 | 3,051 | 0.645168 | 0 | 0 | 0 | 0 | 0 | 0 | 1,783 | 0.377035 |
97a57543f9dc26b5f9e4368297bf82071ccf16c7 | 1,855 | py | Python | src/GUI/custom_widgets.py | QWERTSKIHACK/peniot | 8b5c5c4dddb5adf53977c3e2e99e645a086f1f0b | [
"MIT"
] | 143 | 2019-12-31T08:12:36.000Z | 2022-03-31T15:59:51.000Z | src/GUI/custom_widgets.py | QWERTSKIHACK/peniot | 8b5c5c4dddb5adf53977c3e2e99e645a086f1f0b | [
"MIT"
] | 5 | 2020-01-28T15:47:23.000Z | 2022-02-23T11:18:55.000Z | src/GUI/custom_widgets.py | QWERTSKIHACK/peniot | 8b5c5c4dddb5adf53977c3e2e99e645a086f1f0b | [
"MIT"
] | 39 | 2019-12-30T22:19:38.000Z | 2022-03-17T10:24:37.000Z | from Tkinter import *
from hard_coded_texts import get_project_name
class Header(Frame):
"""
Generic header template class which is used for construction of different screens
"""
def __init__(self, parent_window):
Frame.__init__(self, parent_window)
# Configure the window
self... | 37.1 | 112 | 0.686253 | 1,775 | 0.956873 | 0 | 0 | 0 | 0 | 0 | 0 | 421 | 0.226954 |
97a757d0e58b59160fb7713ada622222e925c521 | 4,479 | py | Python | Code/search.py | Keyology/cs-1.3-2020 | 7b6f02c76dc16f1abafc613ebe6088d51b36b3be | [
"MIT"
] | null | null | null | Code/search.py | Keyology/cs-1.3-2020 | 7b6f02c76dc16f1abafc613ebe6088d51b36b3be | [
"MIT"
] | 4 | 2020-02-17T23:27:06.000Z | 2020-03-10T20:21:22.000Z | Code/search.py | Keyology/cs-1.3-2020 | 7b6f02c76dc16f1abafc613ebe6088d51b36b3be | [
"MIT"
] | null | null | null | #!python
def linear_search(array, item):
"""return the first index of item in array or None if item is not found"""
# implement linear_search_iterative and linear_search_recursive below, then
# change this to call your implementation to verify it passes all tests
# return linear_search_iterative(array,... | 31.542254 | 95 | 0.663764 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,483 | 0.554365 |
97aa46050ee4e69349797e69e7c1131f9730f6f8 | 5,155 | py | Python | panoptes_aggregation/tests/reducer_tests/test_survey_reducer.py | CKrawczyk/python-reducers-for-caesar | 9c5d9e072906d3fde2497fa61a66e4c8c0113ec2 | [
"Apache-2.0"
] | 1 | 2018-11-27T16:43:37.000Z | 2018-11-27T16:43:37.000Z | panoptes_aggregation/tests/reducer_tests/test_survey_reducer.py | CKrawczyk/python-reducers-for-caesar | 9c5d9e072906d3fde2497fa61a66e4c8c0113ec2 | [
"Apache-2.0"
] | 2 | 2017-07-27T09:05:03.000Z | 2019-04-03T20:28:31.000Z | panoptes_aggregation/tests/reducer_tests/test_survey_reducer.py | CKrawczyk/python-reducers-for-caesar | 9c5d9e072906d3fde2497fa61a66e4c8c0113ec2 | [
"Apache-2.0"
] | 2 | 2017-07-26T17:30:17.000Z | 2017-07-27T09:14:51.000Z | import unittest
from collections import Counter
import copy
import flask
import json
from panoptes_aggregation.reducers.survey_reducer import process_data, survey_reducer
from panoptes_aggregation.reducers.test_utils import extract_in_data
extracted_data = [
{'answers_howmanyanimalsdoyousee': {'1': 1.0}, 'answers_... | 39.653846 | 212 | 0.628904 | 1,227 | 0.238021 | 0 | 0 | 0 | 0 | 0 | 0 | 2,179 | 0.422696 |
97affcf5430ea542d75da78b8065ecc199a3cc76 | 1,898 | py | Python | PyMess/FIPS/ANN/ConvertData.py | mattkjames7/PyMess | f2c68285a7845a24d98284e20ed4292ed5e58138 | [
"MIT"
] | null | null | null | PyMess/FIPS/ANN/ConvertData.py | mattkjames7/PyMess | f2c68285a7845a24d98284e20ed4292ed5e58138 | [
"MIT"
] | null | null | null | PyMess/FIPS/ANN/ConvertData.py | mattkjames7/PyMess | f2c68285a7845a24d98284e20ed4292ed5e58138 | [
"MIT"
] | null | null | null | import numpy as np
from ... import Globals
from .ReadData import ReadData
import os
import RecarrayTools as RT
def _DateStrToDateUT(s):
'''
convert date on the format YYYY-MM-DDThh:mm:ss.sss to an integer date
and a floating point time.
'''
Y = np.array([np.int32(x[0:4]) for x in s])
M = np.array([np.int32(x[5:7... | 24.025316 | 70 | 0.630664 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 622 | 0.327713 |
97b17d951641a10dde5adb0978a509ff02ff1d9c | 812 | py | Python | libapp/migrations/0010_notification.py | Nyagah-Tech/library | 2ae1df4e89257c9c7d7f2328ab6c5f6352867997 | [
"MIT"
] | null | null | null | libapp/migrations/0010_notification.py | Nyagah-Tech/library | 2ae1df4e89257c9c7d7f2328ab6c5f6352867997 | [
"MIT"
] | 8 | 2020-06-06T01:24:32.000Z | 2022-02-10T12:26:48.000Z | libapp/migrations/0010_notification.py | Nyagah-Tech/library | 2ae1df4e89257c9c7d7f2328ab6c5f6352867997 | [
"MIT"
] | null | null | null | # Generated by Django 2.2.8 on 2020-01-23 06:58
from django.conf import settings
from django.db import migrations, models
import tinymce.models
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('libapp', '0009_comment'),
]
... | 31.230769 | 119 | 0.626847 | 664 | 0.817734 | 0 | 0 | 0 | 0 | 0 | 0 | 131 | 0.16133 |
97b281cd2e09060653c37e8623382835d9e1206e | 3,891 | py | Python | 2_data_files/plotter.py | Abhipanda4/RQs_in_Regex_Graphs | 80b86b5b3f92ef28102ac0f5049bb495b5cc07f9 | [
"Apache-2.0"
] | 2 | 2018-10-09T09:59:45.000Z | 2021-11-21T17:01:47.000Z | 2_data_files/plotter.py | Abhipanda4/RQs_in_Regex_Graphs | 80b86b5b3f92ef28102ac0f5049bb495b5cc07f9 | [
"Apache-2.0"
] | null | null | null | 2_data_files/plotter.py | Abhipanda4/RQs_in_Regex_Graphs | 80b86b5b3f92ef28102ac0f5049bb495b5cc07f9 | [
"Apache-2.0"
] | null | null | null | import csv
import matplotlib.pyplot as plt
import numpy as np
def index_sizes():
fp = open("./index_size.csv")
x = csv.reader(fp, delimiter='\t')
sizes = []
for line in x:
size = float(line[0].strip()[:-1])
sizes.append(size)
temp = sorted(sizes[:-1])
nodes = [i for i in range(1... | 25.431373 | 76 | 0.561809 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 977 | 0.251092 |
97b47597bcd7e262415d73a5d1a8d5d991bcfe66 | 3,022 | py | Python | generic_editor.py | jcooper-korg/talon_user | ef086f9890448f7d633a4f02b36a18de853581a8 | [
"0BSD"
] | 1 | 2018-09-22T22:34:35.000Z | 2018-09-22T22:34:35.000Z | generic_editor.py | jcooper-korg/talon_user | ef086f9890448f7d633a4f02b36a18de853581a8 | [
"0BSD"
] | null | null | null | generic_editor.py | jcooper-korg/talon_user | ef086f9890448f7d633a4f02b36a18de853581a8 | [
"0BSD"
] | null | null | null | # https://github.com/JonathanNickerson/talon_voice_user_scripts
# jsc added indent/outdent and simplified jolt
from talon.voice import Key, press, Str, Context
ctx = Context('generic_editor') # , bundle='com.microsoft.VSCode')
numeral_map = dict((str(n), n) for n in range(0, 20))
for n in [20, 30, 40, 50, 60, 70, 80... | 26.743363 | 82 | 0.625745 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 962 | 0.318332 |
97b62ed540d6ffc6ab71d19b389a5534151aeb3d | 4,260 | py | Python | setup.py | blschatz/pyHDT | 9553fd49e1e89a89d248e5d75b3a49ad3b3e124f | [
"MIT"
] | null | null | null | setup.py | blschatz/pyHDT | 9553fd49e1e89a89d248e5d75b3a49ad3b3e124f | [
"MIT"
] | null | null | null | setup.py | blschatz/pyHDT | 9553fd49e1e89a89d248e5d75b3a49ad3b3e124f | [
"MIT"
] | null | null | null | # setup.py
# Author: Thomas MINIER - MIT License 2017-2018
from setuptools import setup, Extension
from os import listdir
import pybind11
import distutils
import platform
__pyhdt_version__ = "1.2.1"
with open('README.rst') as file:
long_description = file.read()
def list_files(path, extension=".cpp", exclude="S... | 37.368421 | 110 | 0.698122 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,058 | 0.483099 |
97ba1bc69fa28bb340ca97364cb86adfcaf60e62 | 2,880 | py | Python | src/rest_api/mir_coords_to_csv.py | jonathanleinola/radiohead-master | f0854441c07aba0ccf51bf9ec8904b860eefd683 | [
"MIT"
] | null | null | null | src/rest_api/mir_coords_to_csv.py | jonathanleinola/radiohead-master | f0854441c07aba0ccf51bf9ec8904b860eefd683 | [
"MIT"
] | null | null | null | src/rest_api/mir_coords_to_csv.py | jonathanleinola/radiohead-master | f0854441c07aba0ccf51bf9ec8904b860eefd683 | [
"MIT"
] | null | null | null | import time
import sys
import urllib3
from time import sleep
import json
import csv
import datetime
import requests
from datetime import datetime
import subprocess # just for changing file ownership at the end of script
http = urllib3.PoolManager()
######################################################################... | 39.452055 | 87 | 0.518056 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,614 | 0.560417 |
97bb0bfb2e83efd2bcd29357e37506cc837d9359 | 2,704 | py | Python | arraycw.py | cs-fullstack-2019-spring/python-arraycollections-cw-MelaatiJ | 1337dacf9568e8e5249ce6aa13bd0e425b31e940 | [
"Apache-2.0"
] | null | null | null | arraycw.py | cs-fullstack-2019-spring/python-arraycollections-cw-MelaatiJ | 1337dacf9568e8e5249ce6aa13bd0e425b31e940 | [
"Apache-2.0"
] | null | null | null | arraycw.py | cs-fullstack-2019-spring/python-arraycollections-cw-MelaatiJ | 1337dacf9568e8e5249ce6aa13bd0e425b31e940 | [
"Apache-2.0"
] | null | null | null | def main():
# problem1()
# problem2()
# problem3()
# problem4()
# problem5()
def problem1():
awesomePeeps = ["kenn", "Kevin", "Erin", "Meka"] #made an array
print(awesomePeeps[2]) #printing the second element
print(len(awesomePeeps)) #printing the length and how many inside
aweso... | 23.719298 | 144 | 0.628698 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,569 | 0.580251 |
97be40091dbb9d0bd5f45ca454971f59e1fb204d | 3,511 | py | Python | timeeval_experiments/algorithms/mscred.py | HPI-Information-Systems/TimeEval | 9b2717b89decd57dd09e04ad94c120f13132d7b8 | [
"MIT"
] | 2 | 2022-01-29T03:46:31.000Z | 2022-02-14T14:06:35.000Z | timeeval_experiments/algorithms/mscred.py | HPI-Information-Systems/TimeEval | 9b2717b89decd57dd09e04ad94c120f13132d7b8 | [
"MIT"
] | null | null | null | timeeval_experiments/algorithms/mscred.py | HPI-Information-Systems/TimeEval | 9b2717b89decd57dd09e04ad94c120f13132d7b8 | [
"MIT"
] | null | null | null | from durations import Duration
from typing import Any, Dict, Optional
from timeeval import Algorithm, TrainingType, InputDimensionality
from timeeval.adapters import DockerAdapter
from timeeval.params import ParameterConfig
import numpy as np
import numpy as np
from timeeval.utils.window import ReverseWindowing
# p... | 30.530435 | 125 | 0.672173 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,647 | 0.469097 |
97bf1504b82eb929f132872535cb5630bd14f3ad | 7,470 | py | Python | fedot/core/operations/evaluation/operation_implementations/data_operations/sklearn_selectors.py | vishalbelsare/FEDOT | 3a6f06b29cf2f173008d119f7cb5dc705a45f695 | [
"BSD-3-Clause"
] | null | null | null | fedot/core/operations/evaluation/operation_implementations/data_operations/sklearn_selectors.py | vishalbelsare/FEDOT | 3a6f06b29cf2f173008d119f7cb5dc705a45f695 | [
"BSD-3-Clause"
] | null | null | null | fedot/core/operations/evaluation/operation_implementations/data_operations/sklearn_selectors.py | vishalbelsare/FEDOT | 3a6f06b29cf2f173008d119f7cb5dc705a45f695 | [
"BSD-3-Clause"
] | null | null | null | from typing import Optional
import numpy as np
from sklearn.feature_selection import RFE
from sklearn.linear_model import LinearRegression, LogisticRegression
from sklearn.tree import DecisionTreeClassifier, DecisionTreeRegressor
from fedot.core.data.data import OutputData
from fedot.core.operations.evaluation.operat... | 37.35 | 105 | 0.654485 | 7,048 | 0.943507 | 0 | 0 | 197 | 0.026372 | 0 | 0 | 2,227 | 0.298126 |
97c09d6d0c463e1a6cbc1d5065aab627ff77af00 | 18,595 | py | Python | budou/budou.py | aodag/budou | 97be13eb87745d5ac78e9c42eda97ac923226259 | [
"Apache-2.0"
] | null | null | null | budou/budou.py | aodag/budou | 97be13eb87745d5ac78e9c42eda97ac923226259 | [
"Apache-2.0"
] | null | null | null | budou/budou.py | aodag/budou | 97be13eb87745d5ac78e9c42eda97ac923226259 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright 2017 Google 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 requ... | 33.625678 | 81 | 0.645012 | 17,728 | 0.951737 | 0 | 0 | 1,585 | 0.085092 | 0 | 0 | 8,621 | 0.462823 |
97c0da1f40fc823b2243e9c93e971592b96efa4c | 318 | py | Python | backend/api/admin.py | steviemsiy/FindTheGame | f4a86a38c8133089778735f34b04f9ce6b084c48 | [
"MIT"
] | null | null | null | backend/api/admin.py | steviemsiy/FindTheGame | f4a86a38c8133089778735f34b04f9ce6b084c48 | [
"MIT"
] | null | null | null | backend/api/admin.py | steviemsiy/FindTheGame | f4a86a38c8133089778735f34b04f9ce6b084c48 | [
"MIT"
] | null | null | null | from django.contrib import admin
#if ENVIRONMENT == 'PROD':
# from api.models import *
#else:
from api.models import *
# Register your models here.
admin.site.register(Event, EventAdmin)
admin.site.register(ApiKey, ApiKeyAdmin)
admin.site.register(PlayerProfile)
admin.site.register(Group)
admin.site.register(Game)
| 22.714286 | 40 | 0.779874 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 86 | 0.27044 |
97c0f0316a610972e2430f4b0813c029c750b789 | 1,456 | py | Python | lpd/callbacks/collect_outputs.py | RoySadaka/lpd | 921454d9730d8228f4b0ca5349b0558ebd123c65 | [
"MIT"
] | 4 | 2020-10-02T10:04:19.000Z | 2022-01-19T12:45:02.000Z | lpd/callbacks/collect_outputs.py | RoySadaka/lpd | 921454d9730d8228f4b0ca5349b0558ebd123c65 | [
"MIT"
] | 1 | 2020-10-06T17:43:57.000Z | 2020-10-06T17:47:43.000Z | lpd/callbacks/collect_outputs.py | RoySadaka/lpd | 921454d9730d8228f4b0ca5349b0558ebd123c65 | [
"MIT"
] | 1 | 2020-10-03T17:21:32.000Z | 2020-10-03T17:21:32.000Z | from lpd.enums import Phase, State
from lpd.callbacks.callback_base import CallbackBase
from lpd.callbacks.callback_context import CallbackContext
from typing import Union, List
class CollectOutputs(CallbackBase):
"""
This callback will collect outputs per each state, (it is currently used in trainer.predi... | 37.333333 | 110 | 0.677885 | 1,276 | 0.876374 | 0 | 0 | 0 | 0 | 0 | 0 | 462 | 0.317308 |
97c13a11e20c33272886d8a9d47cf19a001f5c55 | 107 | py | Python | api/constants.py | python-discord/code-jam-management | b6b91357f0afa69f875336917a72ea771eb13556 | [
"MIT"
] | 6 | 2021-06-07T17:29:23.000Z | 2022-02-25T23:36:16.000Z | api/constants.py | python-discord/code-jam-management | b6b91357f0afa69f875336917a72ea771eb13556 | [
"MIT"
] | 4 | 2021-09-04T13:53:40.000Z | 2021-12-30T23:13:59.000Z | api/constants.py | python-discord/code-jam-management | b6b91357f0afa69f875336917a72ea771eb13556 | [
"MIT"
] | 2 | 2021-06-07T17:18:15.000Z | 2021-06-14T19:32:33.000Z | from decouple import config
DATABASE_URL = config("DATABASE_URL")
LOG_LEVEL = config("LOG_LEVEL", "INFO")
| 21.4 | 39 | 0.766355 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 0.28972 |
97c42e24a090f424ea4838812d93847accbf8363 | 15,022 | py | Python | snakebot.py | paulolima18/Snake_Python | f872f374c573963b4347333e4a2099a8956c9de4 | [
"MIT"
] | null | null | null | snakebot.py | paulolima18/Snake_Python | f872f374c573963b4347333e4a2099a8956c9de4 | [
"MIT"
] | null | null | null | snakebot.py | paulolima18/Snake_Python | f872f374c573963b4347333e4a2099a8956c9de4 | [
"MIT"
] | null | null | null | 'Game1'
'''
x.type são os seguintes
(Tudo em Capslock)
quit
atctiveevent
keydown
keyup
mousemotion
mousebuttonup
mousebuttondown
videioresize
'''
#40pygame
import pygame_textinput
import pygame
import random
width=800
height=600
bsize=20
thick=20
fps=60
direction = 270
wall = 10
pygame.init()
gdisplay=pygame.display.... | 34.853828 | 165 | 0.503462 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,135 | 0.142097 |
97c4ceb646afbf2252dacae9ae06cb0ea8c68412 | 327 | py | Python | simplemap/html_render.py | patrick--/simplemap | 1c0a9de1a9c2e35b73f3068511b9c17bc389ba50 | [
"MIT"
] | 126 | 2015-12-31T17:31:40.000Z | 2020-01-21T19:45:27.000Z | simplemap/html_render.py | ptrks/simplemap | 1c0a9de1a9c2e35b73f3068511b9c17bc389ba50 | [
"MIT"
] | 7 | 2016-01-01T17:10:02.000Z | 2018-08-09T08:16:19.000Z | simplemap/html_render.py | ptrks/simplemap | 1c0a9de1a9c2e35b73f3068511b9c17bc389ba50 | [
"MIT"
] | 14 | 2015-12-31T21:49:29.000Z | 2017-09-13T06:19:32.000Z |
"""
simplemap.html_render
~~~~~~~~~~~~~~~~~~~~~
This module contains everything related to Jinja2 HTML rendering.
"""
from jinja2 import Undefined
class SilentUndefined(Undefined):
""" Allow Jinja2 to continue rendering if undefined tag is parsed """
def _fail_with_undefined_error(self, *args, **kwargs):
retu... | 20.4375 | 70 | 0.718654 | 175 | 0.535168 | 0 | 0 | 0 | 0 | 0 | 0 | 187 | 0.571865 |
97c5657c514435f5241d15a78f30c3d6d353de51 | 487 | py | Python | P2.2-Intro Data Science/exercises/lesson_5/aadhaar_generated_quiz/aadhaar_generated_reducer.py | lucasosouza/udacity-data-analysis | 2603565cede0c5269ce643584475929f8f2053ce | [
"MIT"
] | null | null | null | P2.2-Intro Data Science/exercises/lesson_5/aadhaar_generated_quiz/aadhaar_generated_reducer.py | lucasosouza/udacity-data-analysis | 2603565cede0c5269ce643584475929f8f2053ce | [
"MIT"
] | null | null | null | P2.2-Intro Data Science/exercises/lesson_5/aadhaar_generated_quiz/aadhaar_generated_reducer.py | lucasosouza/udacity-data-analysis | 2603565cede0c5269ce643584475929f8f2053ce | [
"MIT"
] | null | null | null | import sys
def reducer():
aadhaar_generated = 0
old_key = None
#Cycle through the list of key-value pairs emitted
#by your mapper, and print out each key once,
#along with the total number of Aadhaar generated,
#separated by a tab. Assume that the list of key-
#value pairs will be ordered... | 28.647059 | 57 | 0.679671 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 355 | 0.728953 |
97c69078a7ae6ebe2e0737e89806854c5deb0cda | 3,999 | py | Python | src/genie/libs/parser/nxos/tests/ShowIpv6RipRouteVrfAll/cli/equal/golden_output_2_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | 204 | 2018-06-27T00:55:27.000Z | 2022-03-06T21:12:18.000Z | src/genie/libs/parser/nxos/tests/ShowIpv6RipRouteVrfAll/cli/equal/golden_output_2_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | 468 | 2018-06-19T00:33:18.000Z | 2022-03-31T23:23:35.000Z | src/genie/libs/parser/nxos/tests/ShowIpv6RipRouteVrfAll/cli/equal/golden_output_2_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | 309 | 2019-01-16T20:21:07.000Z | 2022-03-30T12:56:41.000Z |
expected_output = {
'vrf': {
'default': {
'address_family': {
'ipv4': {
'instance': {
'rip-1': {
'routes': {
'2001:10:12:120::/64': {
'bes... | 47.607143 | 84 | 0.15954 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 783 | 0.195799 |
97c76c081c460323a55942e3974a52a93f0623d4 | 804 | py | Python | run_tests.py | scottwittenburg/vcs | 5b9f17fb78f7ab186fc0132ab81ada043a7ba348 | [
"BSD-3-Clause"
] | 11 | 2018-10-10T03:14:33.000Z | 2022-01-05T14:18:15.000Z | run_tests.py | scottwittenburg/vcs | 5b9f17fb78f7ab186fc0132ab81ada043a7ba348 | [
"BSD-3-Clause"
] | 196 | 2018-03-21T19:44:56.000Z | 2021-12-21T21:56:24.000Z | run_tests.py | scottwittenburg/vcs | 5b9f17fb78f7ab186fc0132ab81ada043a7ba348 | [
"BSD-3-Clause"
] | 5 | 2019-12-09T21:54:45.000Z | 2022-03-20T04:22:14.000Z | #!/usr/bin/env python
import os
import sys
import cdat_info
class VCSTestRunner(cdat_info.TestRunnerBase):
def _prep_nose_options(self):
opt = super(VCSTestRunner, self)._prep_nose_options()
if self.args.no_vtk_ui:
opt += ["-A", "not vtk_ui"]
if self.args.vtk is not None:
... | 28.714286 | 75 | 0.618159 | 383 | 0.476368 | 0 | 0 | 0 | 0 | 0 | 0 | 150 | 0.186567 |
97c77c550cf0c53433815e5c8467ef4ace730897 | 1,007 | py | Python | pyrl/cli/util.py | jponf/pyrl | 1353d59deee2731c509991a6cca90a7b991779bc | [
"Apache-2.0"
] | 2 | 2021-01-25T15:04:45.000Z | 2021-11-05T06:15:40.000Z | pyrl/cli/util.py | jponf/pyrl | 1353d59deee2731c509991a6cca90a7b991779bc | [
"Apache-2.0"
] | null | null | null | pyrl/cli/util.py | jponf/pyrl | 1353d59deee2731c509991a6cca90a7b991779bc | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import random
import six
# SciPy Stack
import numpy as np
# Torch
import torch
###############################################################################
def initialize_seed(seed):
"""Initializes the seed of different PRNGs.
:param seed: Value to initialize the PRNGs.
""... | 20.55102 | 79 | 0.569017 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 354 | 0.351539 |
97c97448c31c9699860a83ac252dd71c1be4c6a6 | 1,522 | py | Python | code/src/main/python/mos/blocks/contest_meta_block.py | anonfse/COSAL_Anonymized | 709906294fd775131f3e019862bbdd554d83773d | [
"Unlicense"
] | null | null | null | code/src/main/python/mos/blocks/contest_meta_block.py | anonfse/COSAL_Anonymized | 709906294fd775131f3e019862bbdd554d83773d | [
"Unlicense"
] | 1 | 2021-11-03T08:28:31.000Z | 2021-11-03T08:28:31.000Z | code/src/main/python/mos/blocks/contest_meta_block.py | anonfse/COSAL_Anonymized | 709906294fd775131f3e019862bbdd554d83773d | [
"Unlicense"
] | 1 | 2022-03-22T14:24:13.000Z | 2022-03-22T14:24:13.000Z |
import sys
import os
sys.path.append(os.path.abspath("."))
sys.dont_write_bytecode = True
__author__ = "COSAL"
from utils.lib import O
class ContestMeta(O):
def __init__(self, **kwargs):
O.__init__(self, **kwargs)
self.submission_id = None
self.contest_type = None
self.contest_id = None
sel... | 24.548387 | 59 | 0.653745 | 1,379 | 0.906045 | 0 | 0 | 555 | 0.364652 | 0 | 0 | 214 | 0.140604 |
97ca9e6d4a2bc51de1e8a75b509fdde60fa6a362 | 1,312 | py | Python | app/Product.py | krishotte/web_sperky | fec2e150c146c69d3b002085407c2cd2d749ec6a | [
"MIT"
] | null | null | null | app/Product.py | krishotte/web_sperky | fec2e150c146c69d3b002085407c2cd2d749ec6a | [
"MIT"
] | null | null | null | app/Product.py | krishotte/web_sperky | fec2e150c146c69d3b002085407c2cd2d749ec6a | [
"MIT"
] | null | null | null | """Product Model."""
from config.database import Model
from orator.orm import belongs_to, belongs_to_many, has_many, has_one
class Product(Model):
"""Product Model."""
__fillable__ = ['name', 'category_id', 'price', 'description', 'image_folder', 'detail', 'note']
@belongs_to('category_id', 'id')
de... | 27.914894 | 119 | 0.681402 | 1,183 | 0.901677 | 0 | 0 | 994 | 0.757622 | 0 | 0 | 306 | 0.233232 |
97cc531294afb11301fe771674b2ba6517514180 | 562 | py | Python | data/coco_korean/coco_load_image.py | Pixir/Pixir | 63a6fc0728403af92eadf188f532f9f41cd9f912 | [
"MIT"
] | null | null | null | data/coco_korean/coco_load_image.py | Pixir/Pixir | 63a6fc0728403af92eadf188f532f9f41cd9f912 | [
"MIT"
] | 1 | 2020-02-10T08:11:23.000Z | 2020-02-10T08:11:23.000Z | data/coco_korean/coco_load_image.py | Pixir/Pixir | 63a6fc0728403af92eadf188f532f9f41cd9f912 | [
"MIT"
] | 3 | 2020-02-09T11:14:33.000Z | 2020-04-11T16:10:17.000Z | from PIL import Image
import json
import numpy as np
from tqdm import tqdm
with open('../../../coco/MSCOCO_train_val_Korean.json', 'r', encoding='utf-8') as f:
info = json.load(f)
# print(info[0]['file_path'])
img_path = '../../../coco/'
img_size = 64
images = np.empty((len(info), img_size, img_size, 3), dtype=n... | 26.761905 | 84 | 0.658363 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 132 | 0.234875 |
97ccf40733199c207a29b866cea4353f6edc523b | 630 | py | Python | programming/udemy/SLLCycle.py | vamsitallapudi/Coderefer-Python-Projects | a7acc682251661e296c64533f4a85d47e6eedda2 | [
"Apache-2.0"
] | 1 | 2021-01-03T06:42:58.000Z | 2021-01-03T06:42:58.000Z | programming/udemy/SLLCycle.py | vamsitallapudi/Coderefer-Python-Projects | a7acc682251661e296c64533f4a85d47e6eedda2 | [
"Apache-2.0"
] | null | null | null | programming/udemy/SLLCycle.py | vamsitallapudi/Coderefer-Python-Projects | a7acc682251661e296c64533f4a85d47e6eedda2 | [
"Apache-2.0"
] | null | null | null | class Node:
def __init__(self, value):
self.value = value
self.nextnode = None
def cycle_check(node):
if not node:
return False
head = node
node = node.nextnode
while node:
if node == head:
return True
node = node.nextnode
return False
if _... | 17.027027 | 33 | 0.539683 | 98 | 0.155556 | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 0.103175 |
97cea0095c84b4a1f87650614e47111614016fd2 | 3,619 | py | Python | awesome/plugins/other_xsh/__init__.py | Lparksi/bot | 8a38953d09436b60e8edff4ebe86bf19fe3b7046 | [
"MIT"
] | 3 | 2020-03-31T10:36:31.000Z | 2020-04-23T12:01:10.000Z | awesome/plugins/other_xsh/__init__.py | Lparksi/bot | 8a38953d09436b60e8edff4ebe86bf19fe3b7046 | [
"MIT"
] | 1 | 2020-07-16T14:51:26.000Z | 2020-07-30T12:46:55.000Z | awesome/plugins/other_xsh/__init__.py | Lparksi/bot | 8a38953d09436b60e8edff4ebe86bf19fe3b7046 | [
"MIT"
] | null | null | null | from nonebot import on_command, CommandSession
from nonebot import on_natural_language, NLPSession, IntentCommand
from jieba import posseg
@on_command("sushe", aliases=("宿舍", "寝室"), only_to_me=False)
async def sushe(session: CommandSession):
if session.event.group_id == 818278353:
await session.send("""一... | 35.480392 | 109 | 0.721194 | 0 | 0 | 0 | 0 | 4,380 | 0.959895 | 3,392 | 0.743371 | 1,904 | 0.417269 |
97cf3240bc800a83f7619e974f4e80d78228793e | 500 | py | Python | calculatorapi/calculatorapi_client.py | sufyankhanrao/assignment_7_3_1 | 4bcf99c3e56f1ef5ae77990f59691f85b0307ff3 | [
"MIT"
] | null | null | null | calculatorapi/calculatorapi_client.py | sufyankhanrao/assignment_7_3_1 | 4bcf99c3e56f1ef5ae77990f59691f85b0307ff3 | [
"MIT"
] | null | null | null | calculatorapi/calculatorapi_client.py | sufyankhanrao/assignment_7_3_1 | 4bcf99c3e56f1ef5ae77990f59691f85b0307ff3 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
calculatorapi
This file was automatically generated by APIMATIC v2.0 ( https://apimatic.io ).
"""
from calculatorapi.decorators import lazy_property
from calculatorapi.configuration import Configuration
from calculatorapi.controllers.simple_calculator_controller import SimpleCalcu... | 21.73913 | 93 | 0.77 | 159 | 0.318 | 0 | 0 | 91 | 0.182 | 0 | 0 | 133 | 0.266 |
97cf4d5a480c01da483d0f38460e002acb1f26fe | 3,387 | py | Python | fabric_cf/broker/core/broker_kernel.py | fabric-testbed/ActorBase | 3c7dd040ee79fef0759e66996c93eeec57c790b2 | [
"MIT"
] | null | null | null | fabric_cf/broker/core/broker_kernel.py | fabric-testbed/ActorBase | 3c7dd040ee79fef0759e66996c93eeec57c790b2 | [
"MIT"
] | null | null | null | fabric_cf/broker/core/broker_kernel.py | fabric-testbed/ActorBase | 3c7dd040ee79fef0759e66996c93eeec57c790b2 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# MIT License
#
# Copyright (c) 2020 FABRIC Testbed
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to ... | 43.423077 | 117 | 0.71804 | 1,865 | 0.550635 | 0 | 0 | 0 | 0 | 0 | 0 | 1,424 | 0.420431 |
97d09a3a5d1f3d145292ae525c74f813c38634ca | 1,539 | py | Python | app/account/migrations/0002_alter_user_options_alter_user_managers_and_more.py | NhatHox23/nhat-inventory-backend | d494d91c9b68a1a441e72d94018be86f07d2141e | [
"MIT"
] | 1 | 2021-12-25T06:54:48.000Z | 2021-12-25T06:54:48.000Z | app/account/migrations/0002_alter_user_options_alter_user_managers_and_more.py | NhatHox23/nhat-inventory-backend | d494d91c9b68a1a441e72d94018be86f07d2141e | [
"MIT"
] | null | null | null | app/account/migrations/0002_alter_user_options_alter_user_managers_and_more.py | NhatHox23/nhat-inventory-backend | d494d91c9b68a1a441e72d94018be86f07d2141e | [
"MIT"
] | null | null | null | # Generated by Django 4.0 on 2021-12-17 08:04
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('account', '0001_initial'),
]
operations = [
migrations.AlterModelOptions(
name='user',
options={},
),
... | 24.046875 | 64 | 0.489279 | 1,448 | 0.940871 | 0 | 0 | 0 | 0 | 0 | 0 | 254 | 0.165042 |
8ad8e73f0765a04eca466c875d8845aef87a9bad | 372 | py | Python | tests/lib/bes/hardware/test_Ftdi.py | reconstruir/bes | 82ff54b2dadcaef6849d7de424787f1dedace85c | [
"Apache-2.0"
] | null | null | null | tests/lib/bes/hardware/test_Ftdi.py | reconstruir/bes | 82ff54b2dadcaef6849d7de424787f1dedace85c | [
"Apache-2.0"
] | null | null | null | tests/lib/bes/hardware/test_Ftdi.py | reconstruir/bes | 82ff54b2dadcaef6849d7de424787f1dedace85c | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#-*- coding:utf-8; mode:python; indent-tabs-mode: nil; c-basic-offset: 2; tab-width: 2 -*-
import unittest
from bes.hardware.Ftdi import Ftdi
class TestFtdi(unittest.TestCase):
def test_find_devices(self):
devices = Ftdi.find_devices()
for device in devices:
print('DEVICE: ', de... | 23.25 | 90 | 0.693548 | 159 | 0.427419 | 0 | 0 | 0 | 0 | 0 | 0 | 131 | 0.352151 |
8ad9c64ca58eeecc2c0887b2257ecd48066ce9be | 6,097 | py | Python | task3.py | Anchorboy/PR_FinalProject | e744723c9c9dd55e6995ae5929eb45f90c70819b | [
"MIT"
] | null | null | null | task3.py | Anchorboy/PR_FinalProject | e744723c9c9dd55e6995ae5929eb45f90c70819b | [
"MIT"
] | null | null | null | task3.py | Anchorboy/PR_FinalProject | e744723c9c9dd55e6995ae5929eb45f90c70819b | [
"MIT"
] | null | null | null | import os
import random
from itertools import cycle
import cv2
import matplotlib.pyplot as plt
import numpy as np
from scipy import interp
from skimage import exposure
from skimage.feature import hog
from sklearn import metrics
from sklearn.decomposition import PCA
from sklearn.preprocessing import label_binarize
from... | 36.951515 | 135 | 0.626866 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,129 | 0.185173 |
8adba14d1116a00200adf306c8aff70161525c2c | 6,504 | py | Python | pyhdx/fitting_torch.py | sebaztiano/PyHDX | 12fc2b5f67200885706226823bd8e1f46e3b5db1 | [
"MIT"
] | null | null | null | pyhdx/fitting_torch.py | sebaztiano/PyHDX | 12fc2b5f67200885706226823bd8e1f46e3b5db1 | [
"MIT"
] | null | null | null | pyhdx/fitting_torch.py | sebaztiano/PyHDX | 12fc2b5f67200885706226823bd8e1f46e3b5db1 | [
"MIT"
] | null | null | null | import torch.nn as nn
import torch.nn.functional as F
from torch.optim import SGD
import torch as t
from scipy import constants
import numpy as np
import pandas as pd
from pyhdx.models import Protein
class DeltaGFit(nn.Module):
def __init__(self, deltaG):
super(DeltaGFit, self).__init__()
self.del... | 36.745763 | 133 | 0.64837 | 5,185 | 0.797202 | 0 | 0 | 3,368 | 0.517835 | 0 | 0 | 1,448 | 0.222632 |
8adcaaa5e04f3df5fcea316f738bf758a8c1621e | 665 | py | Python | backend/models.py | FoamyGuy/PyPortal_Signage_System | 46515841bdb413b25e97604697901c2ad6ad471e | [
"MIT"
] | 1 | 2022-03-27T20:51:28.000Z | 2022-03-27T20:51:28.000Z | backend/models.py | FoamyGuy/PyPortal_Signage_System | 46515841bdb413b25e97604697901c2ad6ad471e | [
"MIT"
] | null | null | null | backend/models.py | FoamyGuy/PyPortal_Signage_System | 46515841bdb413b25e97604697901c2ad6ad471e | [
"MIT"
] | null | null | null | from django.contrib.auth.models import User
from django.db import models
import uuid
# Create your models here.
from django.db.models import CASCADE
class Plan(models.Model):
name = models.CharField(max_length=128)
content_image = models.FileField(upload_to="content", blank=True, default='')
content_json... | 30.227273 | 81 | 0.697744 | 513 | 0.771429 | 0 | 0 | 0 | 0 | 0 | 0 | 46 | 0.069173 |
8adf4e176f915ff5864e25390bfbffbbd957feee | 179 | py | Python | jinja2_error/__init__.py | mumubin/jiaja2_error | f2f2df42ec60a99442f61d480ffbf8c67071a737 | [
"MIT"
] | 2 | 2020-06-12T09:50:09.000Z | 2021-06-25T16:06:11.000Z | jinja2_error/__init__.py | mumubin/jiaja2_error | f2f2df42ec60a99442f61d480ffbf8c67071a737 | [
"MIT"
] | null | null | null | jinja2_error/__init__.py | mumubin/jiaja2_error | f2f2df42ec60a99442f61d480ffbf8c67071a737 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from .jinja2_error import ErrorExtension
__author__ = 'Robin Hu'
__email__ = 'given.hubin@gmail.com'
__version__ = '0.1.0'
__all__ = ['ErrorExtension'] | 17.9 | 40 | 0.698324 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 79 | 0.441341 |
8ae079fb5cc787087019878ddc15a079fc9ed4df | 2,165 | py | Python | elements/python/9/14/soln.py | mmcloughlin/problems | 6095842ffe007a12ec8c2093850515aa4e046616 | [
"MIT"
] | 11 | 2019-02-08T06:54:34.000Z | 2021-08-07T18:57:39.000Z | elements/python/9/14/soln.py | mmcloughlin/problems | 6095842ffe007a12ec8c2093850515aa4e046616 | [
"MIT"
] | 1 | 2019-05-21T08:14:10.000Z | 2019-05-21T08:14:10.000Z | elements/python/9/14/soln.py | mmcloughlin/problems | 6095842ffe007a12ec8c2093850515aa4e046616 | [
"MIT"
] | null | null | null | import collections
class MaxQueue(object):
"""
MaxQueue provides a base queue API and tracks the largest item contained
in the queue.
"""
def __init__(self):
self.items = []
self.peaks = []
def enqueue(self, x):
self.items.append(x)
while len(self.peaks) > 0 an... | 23.031915 | 81 | 0.50485 | 698 | 0.322402 | 0 | 0 | 0 | 0 | 0 | 0 | 200 | 0.092379 |
8ae1bf6090dd889c0f197f2b8a758940dc94c4c9 | 992 | py | Python | migrations/versions/035e7209663c_tags_and_base_with_unique.py | microservice-experiment-flask-0hsn/pocket-ws-flask | e7582a6ebe4b554070f183e43042c87762633085 | [
"MIT"
] | null | null | null | migrations/versions/035e7209663c_tags_and_base_with_unique.py | microservice-experiment-flask-0hsn/pocket-ws-flask | e7582a6ebe4b554070f183e43042c87762633085 | [
"MIT"
] | null | null | null | migrations/versions/035e7209663c_tags_and_base_with_unique.py | microservice-experiment-flask-0hsn/pocket-ws-flask | e7582a6ebe4b554070f183e43042c87762633085 | [
"MIT"
] | null | null | null | """tags and base with unique
Revision ID: 035e7209663c
Revises:
Create Date: 2022-04-16 11:22:34.040818
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '035e7209663c'
down_revision = None
branch_labels = None
depends_on = None
def upgrade():
# ### comman... | 26.810811 | 72 | 0.680444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 445 | 0.448589 |
8ae23495524de5ac2aff79dd30996961f889e7e8 | 486 | py | Python | bot/plugins/bongo.py | JastLucy/twitch-chat-bot | df7cde7e4f78d4789c69e63d0920063bf493d1ca | [
"MIT"
] | null | null | null | bot/plugins/bongo.py | JastLucy/twitch-chat-bot | df7cde7e4f78d4789c69e63d0920063bf493d1ca | [
"MIT"
] | null | null | null | bot/plugins/bongo.py | JastLucy/twitch-chat-bot | df7cde7e4f78d4789c69e63d0920063bf493d1ca | [
"MIT"
] | null | null | null | from __future__ import annotations
from bot.config import Config
from bot.data import command
from bot.data import esc
from bot.data import format_msg
from bot.message import Message
@command('!bongo')
async def cmd_bongo(config: Config, msg: Message) -> str:
_, _, rest = msg.msg.partition(' ')
rest = rest.s... | 23.142857 | 76 | 0.683128 | 0 | 0 | 0 | 0 | 299 | 0.615226 | 280 | 0.576132 | 88 | 0.18107 |
8ae264be6fcb91ac2eb22ef29be6e415fafa0087 | 6,079 | py | Python | recline/commands/man_utils.py | NetApp/recline | 065d9d90b6f5b63b535a091f14552e4790c26ecc | [
"BSD-3-Clause"
] | 4 | 2020-05-29T22:54:41.000Z | 2021-10-03T07:59:07.000Z | recline/commands/man_utils.py | NetApp/recline | 065d9d90b6f5b63b535a091f14552e4790c26ecc | [
"BSD-3-Clause"
] | 2 | 2020-08-28T07:39:43.000Z | 2021-04-05T12:45:39.000Z | recline/commands/man_utils.py | NetApp/recline | 065d9d90b6f5b63b535a091f14552e4790c26ecc | [
"BSD-3-Clause"
] | null | null | null | """
This module holds some utility functions used as part of the man command to format
text from CLI commands into consistent man pages that respond to the terminal
width.
"""
import curses
from recline.arg_types.positional import Positional
from recline.arg_types.remainder import Remainder
from recline.commands.cli_... | 39.474026 | 92 | 0.623787 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,710 | 0.281296 |
8ae39804dc5f4ef4b01469e35dccf93770837275 | 1,759 | py | Python | bigml/tests/compare_forecasts_steps.py | pertinkoira/python | c486060f7f7c79ef9f48ced567f118ac7aae3f84 | [
"Apache-2.0"
] | null | null | null | bigml/tests/compare_forecasts_steps.py | pertinkoira/python | c486060f7f7c79ef9f48ced567f118ac7aae3f84 | [
"Apache-2.0"
] | 3 | 2022-03-29T17:54:19.000Z | 2022-03-29T17:54:42.000Z | bigml/tests/compare_forecasts_steps.py | pertinkoira/python | c486060f7f7c79ef9f48ced567f118ac7aae3f84 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright 2017-2022 BigML
#
# 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 ... | 37.425532 | 77 | 0.675952 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 708 | 0.402501 |
8ae58acf089690caafb8cdb5422fc701ad32f66a | 2,749 | py | Python | application.py | roupenminassian/UTS-DSI-x-Disability-Research-Network | e08378594f09560a477521f22f62a47622e07cdd | [
"MIT"
] | null | null | null | application.py | roupenminassian/UTS-DSI-x-Disability-Research-Network | e08378594f09560a477521f22f62a47622e07cdd | [
"MIT"
] | null | null | null | application.py | roupenminassian/UTS-DSI-x-Disability-Research-Network | e08378594f09560a477521f22f62a47622e07cdd | [
"MIT"
] | null | null | null | import pandas as pd
import streamlit as st
import openai
import os
import jsonlines
import pickle
from rank_bm25 import BM25Okapi
openai.organization = "org-eiJyreiRZUtpiu8pm6LIIA8B"
openai.api_key = st.secrets['API_KEY']
"""
# Data Science Institute x Disability Research Network: A UTS HASS-DSI Research Project
Th... | 36.171053 | 441 | 0.706075 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,376 | 0.500546 |
8ae5d110cb00dff54458d2c48b5bb3d0525b7694 | 2,468 | py | Python | examples/tour_examples/bootstrap_xkcd_tour.py | chau11ece/GitStudy | d2f1130d529ec99e3a08878dba7af41f2a08e27d | [
"MIT"
] | null | null | null | examples/tour_examples/bootstrap_xkcd_tour.py | chau11ece/GitStudy | d2f1130d529ec99e3a08878dba7af41f2a08e27d | [
"MIT"
] | null | null | null | examples/tour_examples/bootstrap_xkcd_tour.py | chau11ece/GitStudy | d2f1130d529ec99e3a08878dba7af41f2a08e27d | [
"MIT"
] | null | null | null | from seleniumbase import BaseCase
class MyTestClass(BaseCase):
def test_bootstrap_tour(self):
self.open("https://xkcd.com/1117/")
self.assert_element('img[alt="My Sky"]')
self.create_bootstrap_tour()
self.add_tour_step("Welcome to XKCD!")
self.add_tour_step("This is the XKC... | 36.294118 | 87 | 0.603728 | 2,431 | 0.985008 | 0 | 0 | 1,056 | 0.427877 | 0 | 0 | 836 | 0.338736 |
8ae89e6b4029a557bbcd06a8ce74401ad918eb08 | 899 | py | Python | tests/strawpoll_api_reader_tests.py | vaibhav-y/py-strawpoll | d725beb9a0e42ced84f9ae648bdf8a7216bd6e55 | [
"MIT"
] | null | null | null | tests/strawpoll_api_reader_tests.py | vaibhav-y/py-strawpoll | d725beb9a0e42ced84f9ae648bdf8a7216bd6e55 | [
"MIT"
] | 1 | 2016-05-12T21:25:09.000Z | 2016-07-20T08:58:57.000Z | tests/strawpoll_api_reader_tests.py | vaibhav-y/py-strawpoll | d725beb9a0e42ced84f9ae648bdf8a7216bd6e55 | [
"MIT"
] | null | null | null | from strawpoll import StrawpollAPIReader
from random import randrange
import requests
# Setup test fixtures for poll id `id`
id = randrange(1, 1000)
BASE_URL = 'https://strawpoll.me'
API_PATH = 'api/v2/polls'
json = requests.get('/'.join([BASE_URL, API_PATH, str(id)]))
sp = dict(json=json.text, api=StrawpollAPIReader... | 35.96 | 128 | 0.74416 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 311 | 0.34594 |
8ae9058fefadf30c0326f4f63c43379b31ae9689 | 9,267 | py | Python | src/tests/functional/test_entry_data_endpoint.py | jroberts07/fpl-stats-api | 3a7b5faacec5f83643a16143000b46bea70b5364 | [
"MIT"
] | null | null | null | src/tests/functional/test_entry_data_endpoint.py | jroberts07/fpl-stats-api | 3a7b5faacec5f83643a16143000b46bea70b5364 | [
"MIT"
] | 7 | 2019-09-08T21:46:14.000Z | 2019-12-23T15:06:53.000Z | src/tests/functional/test_entry_data_endpoint.py | jroberts07/fpl_stats_api | 3a7b5faacec5f83643a16143000b46bea70b5364 | [
"MIT"
] | null | null | null | from aioresponses import aioresponses
from server import app as sanic_app
async def test_success_multiple_classics(test_cli):
"""Test entry data with an array of classic leagues.
Args:
test_cli (obj): The test event loop.
"""
with aioresponses(passthrough=['http://127.0.0.1:']) as m:
... | 28.601852 | 75 | 0.499838 | 0 | 0 | 0 | 0 | 0 | 0 | 9,169 | 0.989425 | 2,412 | 0.260278 |
8aec45c46dd80ffcb2b3b4c997ad5691276264a2 | 916 | py | Python | option/asian.py | Michany/pycing | 761c3cd1a887d6a168909abc107c6ea0d80992d3 | [
"MIT"
] | null | null | null | option/asian.py | Michany/pycing | 761c3cd1a887d6a168909abc107c6ea0d80992d3 | [
"MIT"
] | 1 | 2020-02-12T15:12:41.000Z | 2020-02-12T15:13:34.000Z | option/asian.py | Michany/pycing | 761c3cd1a887d6a168909abc107c6ea0d80992d3 | [
"MIT"
] | null | null | null | import numpy as np
from ..core.derivative import Derivative
class AsianCallOption(Derivative):
def __init__(self, S, K, T, r, sigma, steps, **kwargs):
super().__init__(S_0=S, T=T, r=r, sigma=sigma, steps=steps, **kwargs)
self.S = S
self.K = K
self.T = T
self.r = r
... | 26.941176 | 85 | 0.578603 | 851 | 0.929039 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8aed0fd9be816c87487500edc230255c399c0ca8 | 8,283 | py | Python | PyReQTL/annotate.py | nalomran/PyReQTL | 020535e69dfd7ab3c074a3e28cda6cca465672e8 | [
"MIT"
] | 14 | 2020-09-23T18:51:41.000Z | 2020-10-10T11:22:58.000Z | PyReQTL/annotate.py | nalomran/PyReQTL | 020535e69dfd7ab3c074a3e28cda6cca465672e8 | [
"MIT"
] | null | null | null | PyReQTL/annotate.py | nalomran/PyReQTL | 020535e69dfd7ab3c074a3e28cda6cca465672e8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""Annotate the output of ReQTL as cis or trans
Created on Aug, 29 2020
@author: Nawaf Alomran
This module annotates the output of ReQTL as cis or trans based on whether the
SNVs resides within its paired gene.
Input + Options
----------------
+ -r: the path to the ReQTL analysis result... | 33 | 79 | 0.608234 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,241 | 0.512013 |
8aef1e6b611dba02218b5cc706c486dafbea639a | 940 | py | Python | fx_bmark_extract.py | kiike/scripts | c58386288ff889dd14c91db4487734b294ba3a81 | [
"ISC"
] | null | null | null | fx_bmark_extract.py | kiike/scripts | c58386288ff889dd14c91db4487734b294ba3a81 | [
"ISC"
] | null | null | null | fx_bmark_extract.py | kiike/scripts | c58386288ff889dd14c91db4487734b294ba3a81 | [
"ISC"
] | null | null | null | #!/usr/bin/env python
"""
Import a Firefox bookmarks file into a single json list
"""
import json
import pprint
def walk(struct, depth=0):
children = struct.get('children')
if children:
for child in children:
if child.get('type') == 'text/x-moz-place':
title = child.get('t... | 24.736842 | 60 | 0.453191 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 165 | 0.175532 |
8af06ba56b9d9246907fcee08895d969c1f3947a | 429 | py | Python | hostel/devices/migrations/0003_device_photos.py | phylocko/hostel | ff9fb7eb2d38e8cbe4feb096a07f0c5cea1a5365 | [
"Apache-2.0"
] | null | null | null | hostel/devices/migrations/0003_device_photos.py | phylocko/hostel | ff9fb7eb2d38e8cbe4feb096a07f0c5cea1a5365 | [
"Apache-2.0"
] | null | null | null | hostel/devices/migrations/0003_device_photos.py | phylocko/hostel | ff9fb7eb2d38e8cbe4feb096a07f0c5cea1a5365 | [
"Apache-2.0"
] | 1 | 2020-10-31T17:33:52.000Z | 2020-10-31T17:33:52.000Z | # Generated by Django 2.0.5 on 2021-10-05 00:52
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('common', '0004_photos'),
('devices', '0002_auto_20201017_2132'),
]
operations = [
migrations.AddField(
model_name='devic... | 21.45 | 60 | 0.589744 | 336 | 0.783217 | 0 | 0 | 0 | 0 | 0 | 0 | 132 | 0.307692 |
8af62ad39d558e0d5a5806871f1e4a6b7a8df43e | 194,948 | py | Python | src/lib/tracker/multitracker.py | DerryHub/FairMOT-attack | 2678cebe939eb8e14106c1e9e07f0c44b5ba975f | [
"MIT"
] | 18 | 2021-11-18T15:38:46.000Z | 2022-03-22T07:24:27.000Z | src/lib/tracker/multitracker.py | DerryHub/FairMOT-attack | 2678cebe939eb8e14106c1e9e07f0c44b5ba975f | [
"MIT"
] | null | null | null | src/lib/tracker/multitracker.py | DerryHub/FairMOT-attack | 2678cebe939eb8e14106c1e9e07f0c44b5ba975f | [
"MIT"
] | 1 | 2021-11-25T03:14:37.000Z | 2021-11-25T03:14:37.000Z | # ------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
# ------------------------------------------------------------------------------
from collections import deque
import cv2
import numpy as np
im... | 43.986462 | 201 | 0.56671 | 191,751 | 0.983601 | 0 | 0 | 4,324 | 0.02218 | 0 | 0 | 17,894 | 0.091789 |
8af66fdc8a9ee446bc7b0332263e370019166959 | 2,130 | py | Python | t_system/db_fetching.py | sevgiun/T_System | 2664e38843c36578bfb6c61e2642b56bd537352a | [
"MIT"
] | 7 | 2019-11-06T10:00:39.000Z | 2021-06-29T20:31:54.000Z | imline/db_fetching.py | MCYBA/ImLine | 0d1bde9d196432905f3ed00b41cb048c97cf1b44 | [
"MIT"
] | 741 | 2019-11-01T11:23:33.000Z | 2022-03-31T13:49:17.000Z | imline/db_fetching.py | MCYBA/ImLine | 0d1bde9d196432905f3ed00b41cb048c97cf1b44 | [
"MIT"
] | 6 | 2019-11-01T11:49:27.000Z | 2022-03-18T03:04:16.000Z | #!/usr/bin/python3
# -*- coding: utf-8 -*-
"""
.. module:: database
:platform: Unix
:synopsis: the top-level submodule of T_System that contains the functions and classes related to T_System's database and table creation ability. Powered by TinyDB.
.. moduleauthor:: Cem Baybars GÜÇLÜ <cem.baybars@gmail.com>
"... | 34.354839 | 168 | 0.615493 | 1,723 | 0.807782 | 0 | 0 | 422 | 0.197843 | 0 | 0 | 1,572 | 0.73699 |
8af9408c776206126f843ee9b5587d4d0acab636 | 5,153 | py | Python | xcltk/utils/pileup_regions.py | Rongtingting/xcltk | 2e86207c45a1caa7f905a89e1c121c3c203eab2d | [
"Apache-2.0"
] | null | null | null | xcltk/utils/pileup_regions.py | Rongtingting/xcltk | 2e86207c45a1caa7f905a89e1c121c3c203eab2d | [
"Apache-2.0"
] | null | null | null | xcltk/utils/pileup_regions.py | Rongtingting/xcltk | 2e86207c45a1caa7f905a89e1c121c3c203eab2d | [
"Apache-2.0"
] | 2 | 2021-01-26T02:07:32.000Z | 2021-02-03T03:56:55.000Z | # Copied from cellSNP, https://github.com/single-cell-genetics/cellSNP/blob/purePython/cellSNP/utils/pileup_regions.py
# Utilility functions for pileup SNPs across regions
# originally in from pileup_utils.py
# Author: Yuanhua Huang
# Date: 21/05/2018
# Modified by: Xianjie Huang
from .pileup import *
from .sam import... | 38.744361 | 118 | 0.622938 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,963 | 0.380943 |
8af96d0df5555eb37bb2040db58c0c8a963553d0 | 374 | py | Python | scrapy_framework/demotest.py | savor007/scrapy_framework | 9f1266eb2d4bb7e181d1c5352b05298e77040980 | [
"MIT"
] | null | null | null | scrapy_framework/demotest.py | savor007/scrapy_framework | 9f1266eb2d4bb7e181d1c5352b05298e77040980 | [
"MIT"
] | null | null | null | scrapy_framework/demotest.py | savor007/scrapy_framework | 9f1266eb2d4bb7e181d1c5352b05298e77040980 | [
"MIT"
] | null | null | null | import importlib
# from scrapy_framework.config.settings import SPIDERS
#
#
# for data in SPIDERS:
# print(data)
# path=data.rsplit(".",1)[0]
# cls_name=data.rsplit(".",1)[1]
# module=importlib.import_module(path)
# cls=getattr(module, cls_name)
# print(cls)
d = {'a':1,'b':4,'c':2}
c=sorted(... | 20.777778 | 54 | 0.63369 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 265 | 0.708556 |
8afad3555501f5f26b1ee0d4bb4ad784ace7da70 | 812 | py | Python | imagersite/imager_images/urls.py | katcosgrove/django-imager | 409081e6fa2933c7247fd8a9de49ec1cb053b778 | [
"MIT"
] | null | null | null | imagersite/imager_images/urls.py | katcosgrove/django-imager | 409081e6fa2933c7247fd8a9de49ec1cb053b778 | [
"MIT"
] | 2 | 2018-05-10T21:53:27.000Z | 2018-05-15T17:37:20.000Z | imagersite/imager_images/urls.py | katcosgrove/django-imager | 409081e6fa2933c7247fd8a9de49ec1cb053b778 | [
"MIT"
] | null | null | null | from django.urls import path
from .views import LibraryView, PhotosView, AlbumsView, PhotoView, AlbumView
from .views import PhotoCreateView, AlbumCreateView, PhotoEditView, AlbumEditView
urlpatterns = [
path('library/', LibraryView.as_view(), name='library'),
path('photos/', PhotosView.as_view(), name='photo... | 47.764706 | 81 | 0.704433 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 221 | 0.272167 |
8afb51114e53c381340def1b8d3f0d6726b17916 | 310 | py | Python | Python/049group_anagrams.py | Apocrypse/LeetCode | 3ada2605ce8c8f6dadebf37a30c9c00a0d1ede39 | [
"MIT"
] | 4 | 2020-03-17T03:08:51.000Z | 2022-03-14T17:33:28.000Z | Python/049group_anagrams.py | Apocrypse/LeetCode | 3ada2605ce8c8f6dadebf37a30c9c00a0d1ede39 | [
"MIT"
] | null | null | null | Python/049group_anagrams.py | Apocrypse/LeetCode | 3ada2605ce8c8f6dadebf37a30c9c00a0d1ede39 | [
"MIT"
] | 3 | 2021-04-29T16:51:02.000Z | 2022-03-19T17:37:56.000Z | class Solution:
def groupAnagrams(self, strs):
"""
:type strs: List[str]
:rtype: List[List[str]]
"""
result = collections.defaultdict(list)
for s in strs:
key = "".join(sorted(s))
result[key].append(s)
return result.values()
| 25.833333 | 46 | 0.509677 | 309 | 0.996774 | 0 | 0 | 0 | 0 | 0 | 0 | 79 | 0.254839 |
8afb97d50c56a425188ed738b021e57471f05003 | 758 | py | Python | app/urls.py | jhabarsingh/polling_app | 8e9d6f8489576170cacb47be76e5bc4ec6378d06 | [
"MIT"
] | 1 | 2021-05-03T14:55:20.000Z | 2021-05-03T14:55:20.000Z | app/urls.py | jhabarsingh/polling_app | 8e9d6f8489576170cacb47be76e5bc4ec6378d06 | [
"MIT"
] | 2 | 2021-03-01T16:37:30.000Z | 2021-05-03T20:37:56.000Z | app/urls.py | jhabarsingh/polling_app | 8e9d6f8489576170cacb47be76e5bc4ec6378d06 | [
"MIT"
] | null | null | null | from django.urls import path
from app import views
app_name = 'poll'
urlpatterns = [
path('', views.home, name='home'),
path('register', views.register, name='register'),
path('login', views.admin_login, name='login'),
path('create_poll/', views.create_poll, name='create_poll'),
path('show_polls/'... | 39.894737 | 77 | 0.675462 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 278 | 0.366755 |
8afe34ceebaf6f7db1a23f0d092b72c7df8780de | 501 | py | Python | 1200-minimum-absolute-difference/1200-minimum-absolute-difference.py | marzy-bn/Leetcode_2022 | 07d6b9050279e82f610ed4a54209b33db3e3f8f9 | [
"MIT"
] | null | null | null | 1200-minimum-absolute-difference/1200-minimum-absolute-difference.py | marzy-bn/Leetcode_2022 | 07d6b9050279e82f610ed4a54209b33db3e3f8f9 | [
"MIT"
] | null | null | null | 1200-minimum-absolute-difference/1200-minimum-absolute-difference.py | marzy-bn/Leetcode_2022 | 07d6b9050279e82f610ed4a54209b33db3e3f8f9 | [
"MIT"
] | null | null | null | class Solution:
def minimumAbsDifference(self, arr: List[int]) -> List[List[int]]:
results = []
mini = 1000000000
arr.sort()
for a,b in zip(arr,arr[1:]):
diff = abs(a-b)
if diff == mini:
results.append([a,b])
#print("pp... | 29.470588 | 70 | 0.423154 | 484 | 0.966068 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 0.083832 |
8aff4d08b156fe05c3178ca97948dcab05b52a18 | 1,588 | py | Python | famous_block/SENet.py | dongqifong/learning | a36453e82802f92c6fb4b03cd8e09938a763bac7 | [
"MIT"
] | null | null | null | famous_block/SENet.py | dongqifong/learning | a36453e82802f92c6fb4b03cd8e09938a763bac7 | [
"MIT"
] | null | null | null | famous_block/SENet.py | dongqifong/learning | a36453e82802f92c6fb4b03cd8e09938a763bac7 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
class SEBlock(nn.Module):
def __init__(self, in_c, kernel_size, r, dummy_x) -> None:
super().__init__()
self.in_c = in_c
self.conv1 = nn.Conv1d(in_channels=self.in_c,
out_channels=self.in_c, kernel_size=kernel_size, padding=... | 30.538462 | 108 | 0.537783 | 1,311 | 0.825567 | 0 | 0 | 0 | 0 | 0 | 0 | 124 | 0.078086 |
8aff5ab7850fa3bfa7318217948a0adf3698bd28 | 532 | py | Python | otk/test/test_rii.py | draustin/otk | c6e91423ec79b85b380ee9385f6d27c91f92503d | [
"MIT"
] | 7 | 2020-05-17T14:26:42.000Z | 2022-02-14T04:52:54.000Z | otk/test/test_rii.py | uamhforever/otk | c6e91423ec79b85b380ee9385f6d27c91f92503d | [
"MIT"
] | 17 | 2020-04-10T22:50:00.000Z | 2020-06-18T04:54:19.000Z | otk/test/test_rii.py | uamhforever/otk | c6e91423ec79b85b380ee9385f6d27c91f92503d | [
"MIT"
] | 1 | 2022-02-14T04:52:45.000Z | 2022-02-14T04:52:45.000Z | import numpy as np
from otk import rii
def test_rii():
pages = rii.search('Eimerl-o', 'BaB2O4')
assert len(pages) == 1
entry = rii.load_page(pages[0])
index = rii.parse_entry(entry)
assert (abs(index(220e-9) - 1.8284) < 1e-3)
def test_lookup_index():
assert (abs(rii.lookup_index('Malitson', ... | 31.294118 | 93 | 0.640977 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 62 | 0.116541 |
c1019da9fdbebdeb2177f41e024ec8a2375bfc50 | 355 | py | Python | corehq/motech/migrations/0002_requestlog_payload_id.py | dimagilg/commcare-hq | ea1786238eae556bb7f1cbd8d2460171af1b619c | [
"BSD-3-Clause"
] | 471 | 2015-01-10T02:55:01.000Z | 2022-03-29T18:07:18.000Z | corehq/motech/migrations/0002_requestlog_payload_id.py | dimagilg/commcare-hq | ea1786238eae556bb7f1cbd8d2460171af1b619c | [
"BSD-3-Clause"
] | 14,354 | 2015-01-01T07:38:23.000Z | 2022-03-31T20:55:14.000Z | corehq/motech/migrations/0002_requestlog_payload_id.py | dimagilg/commcare-hq | ea1786238eae556bb7f1cbd8d2460171af1b619c | [
"BSD-3-Clause"
] | 175 | 2015-01-06T07:16:47.000Z | 2022-03-29T13:27:01.000Z | from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('motech', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='requestlog',
name='payload_id',
field=models.CharField(blank=True, max_length... | 20.882353 | 74 | 0.588732 | 311 | 0.876056 | 0 | 0 | 0 | 0 | 0 | 0 | 46 | 0.129577 |
c10256e1a56feb6756445ccac8a450d8e5c12102 | 754 | py | Python | revibe/_errors/data.py | Revibe-Music/core-services | 6b11cf16ad2c35d948f3a5c0e7a161e5b7cfc1b2 | [
"MIT"
] | 2 | 2022-01-24T23:30:18.000Z | 2022-01-26T00:21:22.000Z | revibe/_errors/data.py | Revibe-Music/core-services | 6b11cf16ad2c35d948f3a5c0e7a161e5b7cfc1b2 | [
"MIT"
] | null | null | null | revibe/_errors/data.py | Revibe-Music/core-services | 6b11cf16ad2c35d948f3a5c0e7a161e5b7cfc1b2 | [
"MIT"
] | null | null | null | from . import base
from revibe._helpers import const, status
# -----------------------------------------------------------------------------
class ParameterMissingError(base.ExpectationFailedError):
default_detail = "missing paramter, please check the docs for request requirements"
class SerializerValidationErr... | 31.416667 | 87 | 0.71618 | 598 | 0.793103 | 0 | 0 | 0 | 0 | 0 | 0 | 295 | 0.391247 |
c1041af258749524bc55eafa1ab81f6db8f7fd21 | 1,188 | py | Python | erhsh/utils/file_util.py | erhsh/erhsh-python | aeb04352948a2e1f8125a2681b80104b5146bff8 | [
"Apache-2.0"
] | 3 | 2021-04-20T11:23:58.000Z | 2022-01-17T02:57:33.000Z | erhsh/utils/file_util.py | erhsh/erhsh-python | aeb04352948a2e1f8125a2681b80104b5146bff8 | [
"Apache-2.0"
] | null | null | null | erhsh/utils/file_util.py | erhsh/erhsh-python | aeb04352948a2e1f8125a2681b80104b5146bff8 | [
"Apache-2.0"
] | null | null | null | import os
from datetime import datetime
def list_sub_dirs(dir_path):
if not os.path.exists(dir_path):
raise RuntimeError("invalid dir path.")
if not os.path.isdir(dir_path):
raise RuntimeError("invalid dir path.")
sub_dirs = []
sub_files = os.listdir(dir_path)
for sub_file_name i... | 31.263158 | 79 | 0.677609 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 106 | 0.089226 |
c1099cb2a2632c598917595fb2f7f6e6745f4161 | 3,885 | py | Python | reddit_IG_FB.py | Wanatux/Reddit-to-FB-Page | 9f70b4cff72aecc34bad047078d77b534a1abfb4 | [
"MIT"
] | null | null | null | reddit_IG_FB.py | Wanatux/Reddit-to-FB-Page | 9f70b4cff72aecc34bad047078d77b534a1abfb4 | [
"MIT"
] | null | null | null | reddit_IG_FB.py | Wanatux/Reddit-to-FB-Page | 9f70b4cff72aecc34bad047078d77b534a1abfb4 | [
"MIT"
] | null | null | null | #Clean Code for Picture uploader for social media platform
import praw
import random
import pandas as pd
import config
from openpyxl import load_workbook
import requests
import json
#Reddit Creds
r = praw.Reddit(
client_id= "Enter Info Here",
client_secret= "Enter Info Here",
user_agent= "Enter Info Here",... | 28.566176 | 97 | 0.605405 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,246 | 0.320721 |
c10abea2f9bc648d3729f1ca476f5d8723fdfb12 | 3,914 | py | Python | eph/interface.py | bluePhlavio/eph | 9ad8d753ba70d7ed147a591c4181edd56b9533cc | [
"MIT"
] | 1 | 2021-05-07T23:35:32.000Z | 2021-05-07T23:35:32.000Z | eph/interface.py | bluePhlavio/eph | 9ad8d753ba70d7ed147a591c4181edd56b9533cc | [
"MIT"
] | 8 | 2019-11-02T01:04:26.000Z | 2021-06-02T00:01:37.000Z | eph/interface.py | bluePhlavio/eph | 9ad8d753ba70d7ed147a591c4181edd56b9533cc | [
"MIT"
] | 1 | 2019-03-20T13:55:52.000Z | 2019-03-20T13:55:52.000Z | """
Contains classes and functions useful to interact with the `Jpl Horizons
service`_ from NASA.
.. _`Jpl Horizons service`: https://ssd.jpl.nasa.gov/?horizons
"""
import requests
from astropy.table import QTable
from .util import addparams2url, wrap
from .config import read_config
from .models import BaseMap
from... | 28.992593 | 92 | 0.628258 | 3,490 | 0.891671 | 0 | 0 | 0 | 0 | 0 | 0 | 2,090 | 0.533981 |
c10b7e02be55b3e42b50607092409d07c6db24f8 | 64 | py | Python | phanpy/pokedex/admin.py | wengole/phanpy | 17392d3770af16a35198f35a7b2bfa24ff18a1be | [
"BSD-3-Clause"
] | null | null | null | phanpy/pokedex/admin.py | wengole/phanpy | 17392d3770af16a35198f35a7b2bfa24ff18a1be | [
"BSD-3-Clause"
] | 1 | 2016-02-03T00:07:34.000Z | 2016-02-03T00:07:34.000Z | phanpy/pokedex/admin.py | wengole/phanpy | 17392d3770af16a35198f35a7b2bfa24ff18a1be | [
"BSD-3-Clause"
] | null | null | null | from .autoregister import autoregister
autoregister('pokedex')
| 16 | 38 | 0.828125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0.140625 |
c10de940ca61195f3abd45d17f60bcb7de5621f4 | 3,834 | py | Python | uil/core/templatetags/transformat.py | UiL-OTS-labs/django-shared-core | 702ca346f1be861108ec70ceed2ed3b99623f0a3 | [
"Apache-2.0"
] | null | null | null | uil/core/templatetags/transformat.py | UiL-OTS-labs/django-shared-core | 702ca346f1be861108ec70ceed2ed3b99623f0a3 | [
"Apache-2.0"
] | 13 | 2019-06-25T13:23:30.000Z | 2022-02-10T07:00:39.000Z | uil/core/templatetags/transformat.py | UiL-OTS-labs/django-shared-core | 702ca346f1be861108ec70ceed2ed3b99623f0a3 | [
"Apache-2.0"
] | null | null | null | from django.template import Library, Node, TemplateSyntaxError, Variable, VariableDoesNotExist
from django.template.base import render_value_in_context
from django.utils.safestring import SafeData, mark_safe
register = Library()
class FormattedTranslateNode(Node):
def __init__(self, filter_expression, noop, for... | 36.865385 | 116 | 0.603286 | 1,629 | 0.424883 | 0 | 0 | 1,968 | 0.513302 | 0 | 0 | 709 | 0.184924 |
c10e02e2fe07318224fa852f647944dd03346223 | 422 | py | Python | omnipark/api/v1/login/views.py | ryanpineo/omnipark-back | 2b8fa6a4e576a6c187c3ad1ce42a95d7accbe29f | [
"Apache-2.0"
] | null | null | null | omnipark/api/v1/login/views.py | ryanpineo/omnipark-back | 2b8fa6a4e576a6c187c3ad1ce42a95d7accbe29f | [
"Apache-2.0"
] | null | null | null | omnipark/api/v1/login/views.py | ryanpineo/omnipark-back | 2b8fa6a4e576a6c187c3ad1ce42a95d7accbe29f | [
"Apache-2.0"
] | null | null | null | from rest_framework import response, viewsets
from .serializers import LoginSerializer
class LoginViewSet(viewsets.GenericViewSet):
serializer_class = LoginSerializer
def create(self, request, *args, **kwargs):
serializer = self.get_serializer(data=request.data)
serializer.is_valid(raise_exc... | 30.142857 | 59 | 0.734597 | 331 | 0.78436 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0.016588 |
c1151c01209f2be4a1e7c4a0edc5ad3a63d4466c | 3,425 | py | Python | generate_text/generate_tensorflow.py | renjunxiang/Text_Generate | 209f2fcf58aed7661de71f34549d555e33feae53 | [
"MIT"
] | 101 | 2018-07-31T16:02:57.000Z | 2022-03-20T22:50:33.000Z | generate_text/generate_tensorflow.py | renjunxiang/generate_text | 209f2fcf58aed7661de71f34549d555e33feae53 | [
"MIT"
] | 1 | 2020-12-07T04:32:38.000Z | 2021-08-18T04:47:49.000Z | generate_text/generate_tensorflow.py | Jiaogh/Text_Generate | 209f2fcf58aed7661de71f34549d555e33feae53 | [
"MIT"
] | 26 | 2019-01-21T06:36:00.000Z | 2022-03-15T06:29:45.000Z | import os
import numpy as np
import tensorflow as tf
from .rnn import model_tensorflow
import re
import pickle
DIR = os.path.dirname(os.path.abspath(__file__))
def generate_tensorflow(process_path=DIR + '/model/poem/poem.pkl',
model_path=DIR + '/model/poem/train',
maxl... | 36.052632 | 89 | 0.494891 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 607 | 0.167172 |
c1162fbd326c2f2b744b4495ef4678ed8f97bd59 | 1,042 | py | Python | ymir/backend/src/ymir-app/app/models/model.py | elliotmessi/ymir | 3ec8145a1f894778116eb5218de223f6dd805b70 | [
"Apache-2.0"
] | null | null | null | ymir/backend/src/ymir-app/app/models/model.py | elliotmessi/ymir | 3ec8145a1f894778116eb5218de223f6dd805b70 | [
"Apache-2.0"
] | null | null | null | ymir/backend/src/ymir-app/app/models/model.py | elliotmessi/ymir | 3ec8145a1f894778116eb5218de223f6dd805b70 | [
"Apache-2.0"
] | null | null | null | from datetime import datetime
from sqlalchemy import (
Boolean,
Column,
DateTime,
Float,
Integer,
String,
Text,
UniqueConstraint,
)
from app.config import settings
from app.db.base_class import Base
class Model(Base):
__tablename__ = "model"
id = Column(Integer, primary_key=T... | 28.162162 | 82 | 0.696737 | 806 | 0.773512 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 0.036468 |
c117e2d8b5f1b909c31dcd1e8e67fe7c83ac1b66 | 2,348 | py | Python | apps/checkout/views.py | amyhoo/django-oscar-alipay | eacad65416428c6e09974219487a206577d34312 | [
"BSD-3-Clause"
] | 59 | 2015-08-29T10:51:34.000Z | 2021-11-03T10:00:25.000Z | apps/checkout/views.py | amyhoo/django-oscar-alipay | eacad65416428c6e09974219487a206577d34312 | [
"BSD-3-Clause"
] | 4 | 2015-09-02T08:55:42.000Z | 2017-05-15T10:33:00.000Z | apps/checkout/views.py | amyhoo/django-oscar-alipay | eacad65416428c6e09974219487a206577d34312 | [
"BSD-3-Clause"
] | 22 | 2015-08-10T10:46:18.000Z | 2020-04-04T07:11:55.000Z | #######################################################################################
# 重写 PaymentMethodView 提供多种支付方法的选择,
# 重写 PaymentDetailsView 支付细节在具体支付方法包(例如alipay)中实现
#######################################################################################
from oscar.apps.checkout.views import PaymentMethodView,Pa... | 44.301887 | 101 | 0.668654 | 1,691 | 0.694741 | 0 | 0 | 0 | 0 | 0 | 0 | 885 | 0.363599 |
c1186e20834312aecb510b36bdf673c14a6fdea9 | 553 | py | Python | studzie/keras_tutor/keras_cifar100.py | amozie/amozie | fb7c16ce537bc5567f9c87cfc22c564a4dffc4ef | [
"Apache-2.0"
] | null | null | null | studzie/keras_tutor/keras_cifar100.py | amozie/amozie | fb7c16ce537bc5567f9c87cfc22c564a4dffc4ef | [
"Apache-2.0"
] | null | null | null | studzie/keras_tutor/keras_cifar100.py | amozie/amozie | fb7c16ce537bc5567f9c87cfc22c564a4dffc4ef | [
"Apache-2.0"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
from keras.models import Sequential, Model
from keras.layers import Dense, Activation, Input, Dropout, Flatten, Reshape, \
Conv2D, MaxPooling2D, concatenate, GlobalMaxPooling2D
from keras.datasets import cifar100
from keras.callbacks import EarlyStopping
from keras... | 39.5 | 79 | 0.819168 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0.01085 |
c11b5bc00c820d2149831a6a5219b716f80b5da6 | 497 | py | Python | evaluate.py | QData/DeepDiff | 2aef9c5520595b14da265578c2c04c3d65a4ad01 | [
"Apache-2.0"
] | 6 | 2021-04-28T22:46:11.000Z | 2022-02-06T05:02:57.000Z | evaluate.py | QData/DeepDiff | 2aef9c5520595b14da265578c2c04c3d65a4ad01 | [
"Apache-2.0"
] | null | null | null | evaluate.py | QData/DeepDiff | 2aef9c5520595b14da265578c2c04c3d65a4ad01 | [
"Apache-2.0"
] | 1 | 2022-03-11T01:41:49.000Z | 2022-03-11T01:41:49.000Z | import numpy
import torch
import scipy
import scipy.sparse as sp
import logging
from six.moves import xrange
from collections import OrderedDict
import sys
import pdb
from sklearn import metrics
import torch.nn.functional as F
from torch.autograd import Variable
def compute_metrics(predictions, targets):
pred=predic... | 20.708333 | 70 | 0.810865 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c11bc2c07ea4c7d0324366918fff40bddd73b06c | 1,585 | py | Python | crawler/scrapy_ffxiv/spiders/gathering_spider.py | shengzhc/sc-ff14-scrapy | 2d5b74980e47ec140a4b8d506079fcc94dde54a2 | [
"MIT"
] | null | null | null | crawler/scrapy_ffxiv/spiders/gathering_spider.py | shengzhc/sc-ff14-scrapy | 2d5b74980e47ec140a4b8d506079fcc94dde54a2 | [
"MIT"
] | null | null | null | crawler/scrapy_ffxiv/spiders/gathering_spider.py | shengzhc/sc-ff14-scrapy | 2d5b74980e47ec140a4b8d506079fcc94dde54a2 | [
"MIT"
] | null | null | null | import scrapy
from scrapy.spiders import CrawlSpider, Rule
from scrapy.linkextractors import LinkExtractor
from scrapy_ffxiv.items import FfxivGatheringNode
"""
Spider to gather info from `www.ffxiv-gathering.com`
"""
class GatheringSpider(CrawlSpider):
name = 'ff14-gathering'
allowed_domains = [
... | 35.222222 | 157 | 0.55142 | 1,360 | 0.858044 | 1,015 | 0.640379 | 0 | 0 | 0 | 0 | 556 | 0.350789 |
c11c4e38953d87d8740e1177783eb8eb9e19cef3 | 927 | py | Python | horizon/test_horizon-controller-node.py | cyberxml/testinfra-openstack-tests | 8b57ff2901463deeaa4d58486bb6d14f65ba3d24 | [
"MIT"
] | null | null | null | horizon/test_horizon-controller-node.py | cyberxml/testinfra-openstack-tests | 8b57ff2901463deeaa4d58486bb6d14f65ba3d24 | [
"MIT"
] | null | null | null | horizon/test_horizon-controller-node.py | cyberxml/testinfra-openstack-tests | 8b57ff2901463deeaa4d58486bb6d14f65ba3d24 | [
"MIT"
] | null | null | null | import pytest
@pytest.mark.parametrize("name", [
("openstack-dashboard"),
("httpd"),
("memcached"),
])
def test_packages(host, name):
pkg = host.package(name)
assert pkg.is_installed
@pytest.mark.parametrize("name,port", [
("httpd","80"),
("httpd-ssl","443"),
("memcached","11211"),
])
... | 25.054054 | 58 | 0.651564 | 0 | 0 | 0 | 0 | 905 | 0.976268 | 0 | 0 | 218 | 0.235167 |