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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
dc235d061941b806b136e5f9af8dfa6b14a40d12 | 1,588 | py | Python | pyrevolve/util/supervisor/nbsr.py | safsaf150/revolve | ff12ac6992c99116b9d571dc277165362d8d5602 | [
"Apache-2.0"
] | null | null | null | pyrevolve/util/supervisor/nbsr.py | safsaf150/revolve | ff12ac6992c99116b9d571dc277165362d8d5602 | [
"Apache-2.0"
] | null | null | null | pyrevolve/util/supervisor/nbsr.py | safsaf150/revolve | ff12ac6992c99116b9d571dc277165362d8d5602 | [
"Apache-2.0"
] | null | null | null | """
Non-blocking stream reader to read data from a subprocess
without the supervisor stalling. Code taken from:
http://eyalarubas.com/python-subproc-nonblock.html
"""
from __future__ import absolute_import
from threading import Thread
from queue import Queue, Empty
class NonBlockingStreamReader(object):
def __i... | 28.357143 | 90 | 0.535264 |
995bc878277ca0f190dcc7f18da176c0c1a14d84 | 3,326 | py | Python | tests/grafimo_run_test.py | ManuelTgn/GRAFIMO | 7c9c3168632efcd18a739902a5b80897c4392f60 | [
"MIT"
] | null | null | null | tests/grafimo_run_test.py | ManuelTgn/GRAFIMO | 7c9c3168632efcd18a739902a5b80897c4392f60 | [
"MIT"
] | null | null | null | tests/grafimo_run_test.py | ManuelTgn/GRAFIMO | 7c9c3168632efcd18a739902a5b80897c4392f60 | [
"MIT"
] | null | null | null | from grafimo.constructVG import build_vg, indexVG
from grafimo.motif_ops import build_motif_MEME
from grafimo.score_sequences import compute_results
from grafimo.extract_regions import get_seqs
import multiprocessing as mp
import numpy as np
import pandas as pd
import pytest
import os
def test_vg_construct():
t... | 29.433628 | 107 | 0.697835 |
78883b5681a99a35cace6deb713f3ec29b23de53 | 4,906 | py | Python | TIDALDL-PY/tidal_dl/lang/english.py | Voilibaar/Tidal-Media-Downloader | 8af25e0600670210ce00871eedb19a3e8b55377e | [
"Apache-2.0"
] | null | null | null | TIDALDL-PY/tidal_dl/lang/english.py | Voilibaar/Tidal-Media-Downloader | 8af25e0600670210ce00871eedb19a3e8b55377e | [
"Apache-2.0"
] | null | null | null | TIDALDL-PY/tidal_dl/lang/english.py | Voilibaar/Tidal-Media-Downloader | 8af25e0600670210ce00871eedb19a3e8b55377e | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
'''
@File : english.py
@Time : 2021/11/11
@Author : Yaronzz & jee019
@Version : 1.1
@Contact : yaronhuang@foxmail.com
@Desc :
'''
class LangEnglish(object):
SETTING = "SETTINGS"
VALUE = "VALUE"
SETTING_DOWNLOAD_PATH = "D... | 43.415929 | 103 | 0.678761 |
02db46165154e68f8664db361182cd6a3e767afc | 122 | py | Python | torch3d/datasets/__init__.py | murari023/torch3d | 9a451f876fe7ea23f6251ad783f505ec363ee884 | [
"BSD-3-Clause"
] | 2 | 2020-08-28T08:57:38.000Z | 2021-12-13T06:17:11.000Z | torch3d/datasets/__init__.py | murari023/torch3d | 9a451f876fe7ea23f6251ad783f505ec363ee884 | [
"BSD-3-Clause"
] | null | null | null | torch3d/datasets/__init__.py | murari023/torch3d | 9a451f876fe7ea23f6251ad783f505ec363ee884 | [
"BSD-3-Clause"
] | null | null | null | from .modelnet import ModelNet40
from .s3dis import S3DIS
from .shapenet import ShapeNetPart
from .scenenn import SceneNN
| 24.4 | 34 | 0.836066 |
ba8d5d4950157c688d8684efcd1fe2bfda685f0b | 2,226 | py | Python | scripts/object_sense_dlib/detector_test.py | LPAE/ros_esteira | 77dff3f4bc16d17f3f9ad040dc6dd3644afa00f7 | [
"MIT"
] | null | null | null | scripts/object_sense_dlib/detector_test.py | LPAE/ros_esteira | 77dff3f4bc16d17f3f9ad040dc6dd3644afa00f7 | [
"MIT"
] | null | null | null | scripts/object_sense_dlib/detector_test.py | LPAE/ros_esteira | 77dff3f4bc16d17f3f9ad040dc6dd3644afa00f7 | [
"MIT"
] | 1 | 2019-06-29T22:07:31.000Z | 2019-06-29T22:07:31.000Z | import os
import sys
import glob
import matplotlib.pyplot as plt
import cv2
import dlib
dataset_folder_path = "./dataset/2019-06-26/lowsize/"
svn_path = os.path.join(dataset_folder_path, "detector.svm")
landmarks_path = os.path.join(dataset_folder_path, "landmarks.dat")
detector = dlib.fhog_object_detector(svn_path)
... | 37.728814 | 97 | 0.487871 |
7cc433017c50d2189241df060b6c750fc5398907 | 10,841 | py | Python | tests/test_objectives.py | pckroon/symfit | d5110c0301602eb23bb899b98053fa5815adc833 | [
"MIT"
] | 192 | 2015-03-15T15:59:23.000Z | 2022-03-29T15:32:22.000Z | tests/test_objectives.py | pckroon/symfit | d5110c0301602eb23bb899b98053fa5815adc833 | [
"MIT"
] | 279 | 2015-01-02T19:58:02.000Z | 2022-03-22T10:11:00.000Z | tests/test_objectives.py | pckroon/symfit | d5110c0301602eb23bb899b98053fa5815adc833 | [
"MIT"
] | 21 | 2015-07-24T09:54:12.000Z | 2021-11-04T08:33:09.000Z | # SPDX-FileCopyrightText: 2014-2020 Martin Roelfs
#
# SPDX-License-Identifier: MIT
from __future__ import division, print_function
import pytest
import pickle
import numpy as np
from symfit import (
Variable, Parameter, parameters, Fit,
Model, FitResults, variables, Idx,
symbols, Sum, log, exp, cos, pi, ... | 40.301115 | 100 | 0.670233 |
f6c2a281fb73b5394eccc42c363b208e2f9133da | 1,860 | py | Python | day04/solver.py | Trevor-Mansfield/AdventOfCode2021 | 4a80db170b8e79bcf524014d1cf71de85070bf11 | [
"Unlicense"
] | 1 | 2021-12-26T15:26:56.000Z | 2021-12-26T15:26:56.000Z | day04/solver.py | Trevor-Mansfield/AdventOfCode2021 | 4a80db170b8e79bcf524014d1cf71de85070bf11 | [
"Unlicense"
] | null | null | null | day04/solver.py | Trevor-Mansfield/AdventOfCode2021 | 4a80db170b8e79bcf524014d1cf71de85070bf11 | [
"Unlicense"
] | null | null | null | class Bingo:
def __init__(self, lines):
self.lines = lines
self.board = [[False for _ in range(len(lines))] for _ in range(len(lines))]
self.squares = {}
for row, line in enumerate(lines):
for col, square in enumerate(filter(None, line.strip().split(" "))):
self.squares[square] = (row, ... | 26.956522 | 80 | 0.61828 |
a2f10092e797916beaef2065f667b61cf5a5926e | 3,166 | py | Python | src/sentry/interfaces/message.py | E-LLP/sentry | 83d97a0ca45cdaac1d5f3026058131a3aeae0068 | [
"BSD-3-Clause"
] | 4 | 2016-03-16T07:21:36.000Z | 2017-09-04T07:29:56.000Z | src/sentry/interfaces/message.py | mitsuhiko/sentry | cddc3b643a13b52ac6d07ff22e4bd5d69ecbad90 | [
"BSD-3-Clause"
] | null | null | null | src/sentry/interfaces/message.py | mitsuhiko/sentry | cddc3b643a13b52ac6d07ff22e4bd5d69ecbad90 | [
"BSD-3-Clause"
] | null | null | null | """
sentry.interfaces.message
~~~~~~~~~~~~~~~~~~~~~~~~~
:copyright: (c) 2010-2014 by the Sentry Team, see AUTHORS for more details.
:license: BSD, see LICENSE for more details.
"""
from __future__ import absolute_import
__all__ = ('Message',)
from django.conf import settings
from sentry.interfaces.base import Inte... | 31.979798 | 81 | 0.585281 |
207d11d594cead21daca61eae825fa5c840c096a | 2,258 | py | Python | projects/flow.gmx-mtools/src/project.py | CryoZEUS/signac-examples | 1aaa9f71a969209f1661793a4fe19f0566e320b7 | [
"BSD-3-Clause"
] | null | null | null | projects/flow.gmx-mtools/src/project.py | CryoZEUS/signac-examples | 1aaa9f71a969209f1661793a4fe19f0566e320b7 | [
"BSD-3-Clause"
] | null | null | null | projects/flow.gmx-mtools/src/project.py | CryoZEUS/signac-examples | 1aaa9f71a969209f1661793a4fe19f0566e320b7 | [
"BSD-3-Clause"
] | null | null | null | """Define the project's workflow logic."""
from flow import FlowProject
from flow import staticlabel
import mbuild as mb
from mbuild.examples import Alkane
def _grompp_str(root, op_name, gro_name, sys_name):
"""Helper function, returns grompp command string for operation """
cmd = (
"gmx grompp -f {r... | 23.768421 | 83 | 0.685562 |
b15f68563ac70e3ac3f2303e6b12d72508502815 | 6,352 | py | Python | sosen/schema/software_schema.py | KnowledgeCaptureAndDiscovery/sosen | 5a3efb67cb8de04e85dc47a041693d3e671d4ca6 | [
"Apache-2.0"
] | 4 | 2020-06-13T15:40:20.000Z | 2020-09-21T02:09:29.000Z | sosen/schema/software_schema.py | KnowledgeCaptureAndDiscovery/sosen | 5a3efb67cb8de04e85dc47a041693d3e671d4ca6 | [
"Apache-2.0"
] | 18 | 2020-06-23T00:00:14.000Z | 2021-07-07T10:43:27.000Z | sosen/schema/software_schema.py | KnowledgeCaptureAndDiscovery/sosen | 5a3efb67cb8de04e85dc47a041693d3e671d4ca6 | [
"Apache-2.0"
] | null | null | null | from .schema_prefixes import schema, sd, xsd, obj, sosen, rdfs
from ..config import get_config
software_prefixes = {
"schema": schema,
"sd": sd,
"xsd": xsd,
"obj": obj,
"sosen": sosen,
"rdfs": rdfs
}
# this goes down here to resolve what would otherwise be a circular dependency
from .keyword_s... | 29.271889 | 78 | 0.417664 |
ff237de04d21be715a1d78d7dfe8be83ade6ea08 | 111,683 | py | Python | quest/keras/engine/training.py | shuokabe/deepQuest-mod | 7140a57c30deedb0570bc835c6ad3c848f0039f4 | [
"BSD-3-Clause"
] | null | null | null | quest/keras/engine/training.py | shuokabe/deepQuest-mod | 7140a57c30deedb0570bc835c6ad3c848f0039f4 | [
"BSD-3-Clause"
] | null | null | null | quest/keras/engine/training.py | shuokabe/deepQuest-mod | 7140a57c30deedb0570bc835c6ad3c848f0039f4 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import print_function
from __future__ import absolute_import
import warnings
import copy
import numpy as np
import six
from keras.utils import Sequence
from keras.utils import GeneratorEnqueuer
from keras.utils import OrderedEnqueuer
try:
import queue
except ImportError:
... | 45.603512 | 145 | 0.530179 |
adeb2a09ae22350f06bd3fcb5a1ae3b65f3f602b | 1,483 | py | Python | examples/enable_canvas/enable_canvas_view.py | enthought/traits-enaml | 992c352a3f74397e3209bd3fc1e18ca9e1a19d47 | [
"BSD-3-Clause"
] | 8 | 2015-01-04T14:30:47.000Z | 2020-03-03T09:19:47.000Z | examples/enable_canvas/enable_canvas_view.py | enthought/traits-enaml | 992c352a3f74397e3209bd3fc1e18ca9e1a19d47 | [
"BSD-3-Clause"
] | 17 | 2015-01-30T11:25:24.000Z | 2021-06-15T07:14:57.000Z | examples/enable_canvas/enable_canvas_view.py | enthought/traits-enaml | 992c352a3f74397e3209bd3fc1e18ca9e1a19d47 | [
"BSD-3-Clause"
] | 5 | 2015-01-30T11:11:44.000Z | 2020-12-08T18:14:57.000Z | #----------------------------------------------------------------------------
#
# Copyright (c) 2013-14, Enthought, Inc.
# All rights reserved.
#
# This software is provided without warranty under the terms of the BSD
# license included in /LICENSE.txt and may be redistributed only
# under the conditions described... | 27.981132 | 77 | 0.596089 |
ddf86f4b51f393aa5a67787f648383854972e5b2 | 4,464 | py | Python | examples/2_application_placement.py | ihsan1852/edge | 6f15a5a3f19f6b7dfd8ba0641ae5deddbb7d145d | [
"MIT"
] | null | null | null | examples/2_application_placement.py | ihsan1852/edge | 6f15a5a3f19f6b7dfd8ba0641ae5deddbb7d145d | [
"MIT"
] | null | null | null | examples/2_application_placement.py | ihsan1852/edge | 6f15a5a3f19f6b7dfd8ba0641ae5deddbb7d145d | [
"MIT"
] | null | null | null | import logging
import random
import simpy
from leaf.application import Application, SourceTask, ProcessingTask, SinkTask
from leaf.infrastructure import Node, Link, Infrastructure
from leaf.orchestrator import Orchestrator
from leaf.power import PowerModelNode, PowerModelNodeShared, PowerModelLink, PowerMeter
RANDOM_... | 44.64 | 119 | 0.757616 |
a5086d522b037abb4dc11918a1b915aeecd36720 | 1,889 | py | Python | tests/components/sigfox/test_sensor.py | MrDelik/core | 93a66cc357b226389967668441000498a10453bb | [
"Apache-2.0"
] | 30,023 | 2016-04-13T10:17:53.000Z | 2020-03-02T12:56:31.000Z | tests/components/sigfox/test_sensor.py | MrDelik/core | 93a66cc357b226389967668441000498a10453bb | [
"Apache-2.0"
] | 31,101 | 2020-03-02T13:00:16.000Z | 2022-03-31T23:57:36.000Z | tests/components/sigfox/test_sensor.py | MrDelik/core | 93a66cc357b226389967668441000498a10453bb | [
"Apache-2.0"
] | 11,956 | 2016-04-13T18:42:31.000Z | 2020-03-02T09:32:12.000Z | """Tests for the sigfox sensor."""
from http import HTTPStatus
import re
import requests_mock
from homeassistant.components.sigfox.sensor import (
API_URL,
CONF_API_LOGIN,
CONF_API_PASSWORD,
)
from homeassistant.setup import async_setup_component
TEST_API_LOGIN = "foo"
TEST_API_PASSWORD = "ebcd1234"
VAL... | 29.061538 | 81 | 0.661726 |
b2938c5af874318e686be49f2c9e8dba3ec056e5 | 3,992 | py | Python | HiC_search_localBoundaries_attempt2_v2b.py | elifesciences-publications/Stadlerlab-hi-c | 95e304bf8cb2cd606f52f94bb6369fef4f16f73a | [
"MIT"
] | null | null | null | HiC_search_localBoundaries_attempt2_v2b.py | elifesciences-publications/Stadlerlab-hi-c | 95e304bf8cb2cd606f52f94bb6369fef4f16f73a | [
"MIT"
] | null | null | null | HiC_search_localBoundaries_attempt2_v2b.py | elifesciences-publications/Stadlerlab-hi-c | 95e304bf8cb2cd606f52f94bb6369fef4f16f73a | [
"MIT"
] | null | null | null | '''
This is a naive approach to call boundaries in Hi-C data based on directionality--the relative numbers
contacts with loci to the right vs. left. It takes as input a WIG file with directionality assigned to
bins. User supplies bin size (depends on input wig file), width (number of bins to left and right to
include... | 34.413793 | 139 | 0.682365 |
05861face319be1480f12e5026dd11f992fb0560 | 5,903 | py | Python | tests/task/task_runner/test_standard_task_runner.py | wileeam/airflow | f46be8152a4d89c57db4ca46f5b3339e4876b723 | [
"Apache-2.0"
] | 8 | 2017-04-20T16:15:44.000Z | 2020-10-11T13:44:10.000Z | tests/task/task_runner/test_standard_task_runner.py | devlocalca/airflow | 58c3542ed25061320ce61dbe0adf451a44c738dd | [
"Apache-2.0"
] | 219 | 2017-03-15T18:40:16.000Z | 2022-02-28T22:52:43.000Z | tests/task/task_runner/test_standard_task_runner.py | devlocalca/airflow | 58c3542ed25061320ce61dbe0adf451a44c738dd | [
"Apache-2.0"
] | 3 | 2016-07-14T21:51:10.000Z | 2020-10-12T13:26:36.000Z | #
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not... | 30.905759 | 101 | 0.631374 |
ff06b5df4af23180481dde18c5f7099d881caa46 | 1,230 | py | Python | things/pca9685/pca9685.py | m2ag-labs/m2ag-things | dd07d1447c433c228edd0d3d8e843db5c955dc8b | [
"Apache-2.0"
] | null | null | null | things/pca9685/pca9685.py | m2ag-labs/m2ag-things | dd07d1447c433c228edd0d3d8e843db5c955dc8b | [
"Apache-2.0"
] | null | null | null | things/pca9685/pca9685.py | m2ag-labs/m2ag-things | dd07d1447c433c228edd0d3d8e843db5c955dc8b | [
"Apache-2.0"
] | null | null | null | try:
from adafruit_pca9685 import PCA9685
except ModuleNotFoundError:
print('*** PCA9685 driver not found ***')
# https://www.adafruit.com/product/815
# https://learn.adafruit.com/16-channel-pwm-servo-driver
# https://learn.adafruit.com/16-channel-pwm-servo-driver/python-circuitpython
# https://circuitpython.... | 36.176471 | 100 | 0.669106 |
e5aac79794358b0f420e2bb6615337bb72ba48e0 | 334 | py | Python | safergpy/code/bench/exps_config/methods/gpy_mle0132.py | johncoltrane1/saferGPMLE | b86fbd329eaad0b6374a1b28cae43b2a7f81eb61 | [
"BSD-3-Clause"
] | null | null | null | safergpy/code/bench/exps_config/methods/gpy_mle0132.py | johncoltrane1/saferGPMLE | b86fbd329eaad0b6374a1b28cae43b2a7f81eb61 | [
"BSD-3-Clause"
] | 10 | 2021-06-25T15:10:26.000Z | 2021-07-15T12:50:21.000Z | safergpy/code/bench/exps_config/methods/gpy_mle0132.py | johncoltrane1/saferGPMLE | b86fbd329eaad0b6374a1b28cae43b2a7f81eb61 | [
"BSD-3-Clause"
] | 3 | 2021-06-16T07:39:05.000Z | 2022-03-16T09:31:55.000Z | method_args = {
"param": "log",
"init": "classic_profiled",
"stopping_criterion": "soft",
"do_profiling": False,
"optim_scheme": ... | 41.75 | 63 | 0.278443 |
647299b492593dc19f5f83dd9cc4a3ecd12b99a7 | 968 | py | Python | WEEKS/CD_Sata-Structures/_MISC/misc-examples/python3-book-examples/pickle/pickle_state.py | webdevhub42/Lambda | b04b84fb5b82fe7c8b12680149e25ae0d27a0960 | [
"MIT"
] | null | null | null | WEEKS/CD_Sata-Structures/_MISC/misc-examples/python3-book-examples/pickle/pickle_state.py | webdevhub42/Lambda | b04b84fb5b82fe7c8b12680149e25ae0d27a0960 | [
"MIT"
] | null | null | null | WEEKS/CD_Sata-Structures/_MISC/misc-examples/python3-book-examples/pickle/pickle_state.py | webdevhub42/Lambda | b04b84fb5b82fe7c8b12680149e25ae0d27a0960 | [
"MIT"
] | null | null | null | # Copyright (c) 2009 Doug Hellmann All rights reserved.
#
"""
"""
# end_pymotw_header
import pickle
class State:
def __init__(self, name):
self.name = name
def __repr__(self):
return "State({!r})".format(self.__dict__)
class MyClass:
def __init__(self, name):
print("MyClass.__i... | 20.595745 | 79 | 0.618802 |
d6620d8990e6415b766efa1aceacd74d7c9567c9 | 331 | py | Python | exer103.py | fabionunesdeparis/Fundamentos-em-python3 | b21d06b44d5b18e99419cd06b4e08363c1f7a7ce | [
"MIT"
] | null | null | null | exer103.py | fabionunesdeparis/Fundamentos-em-python3 | b21d06b44d5b18e99419cd06b4e08363c1f7a7ce | [
"MIT"
] | null | null | null | exer103.py | fabionunesdeparis/Fundamentos-em-python3 | b21d06b44d5b18e99419cd06b4e08363c1f7a7ce | [
"MIT"
] | null | null | null | # @Fábio C Nunes - 24.06.20
def ficha(nome='<Desconhecido>', gols= 0):
print(f'O Jogador {nome} fez {gols} gols no campeonato.')
#Main
n = str(input('Nome do jogador: '))
gol = str(input('Nº de gols: '))
if gol.isnumeric():
gol = int(gol)
else:
gol = 0
if n.strip() == '':
ficha(gols=gol)
else:
fich... | 19.470588 | 61 | 0.592145 |
6ca4dfa32a62c0dacb954d0410ca42b7765f1fb8 | 3,082 | py | Python | setup.py | heyitsguay/medicaldetectiontoolkit | 057456330dbc9a246bbf535c9fdc4ddc8a8f1f0c | [
"Apache-2.0"
] | null | null | null | setup.py | heyitsguay/medicaldetectiontoolkit | 057456330dbc9a246bbf535c9fdc4ddc8a8f1f0c | [
"Apache-2.0"
] | null | null | null | setup.py | heyitsguay/medicaldetectiontoolkit | 057456330dbc9a246bbf535c9fdc4ddc8a8f1f0c | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# Copyright 2019 Division of Medical Image Computing, German Cancer Research Center (DKFZ).
#
# 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... | 41.093333 | 116 | 0.62135 |
d661bf757ab2a545592a7d891fee9f9c68c9b680 | 5,417 | py | Python | tests/hs2/test_json_endpoints.py | adoroszlai/impala | ea13e744977c71206c11a54f65d77aeecb55703d | [
"Apache-2.0"
] | 746 | 2017-12-02T06:02:05.000Z | 2022-03-29T06:59:03.000Z | tests/hs2/test_json_endpoints.py | xwzbupt/impala | 97dda2b27da99367f4d07699aa046b16cda16dd4 | [
"Apache-2.0"
] | 9 | 2018-01-30T16:16:22.000Z | 2021-08-31T00:13:28.000Z | tests/hs2/test_json_endpoints.py | xwzbupt/impala | 97dda2b27da99367f4d07699aa046b16cda16dd4 | [
"Apache-2.0"
] | 363 | 2017-12-10T01:08:17.000Z | 2022-03-26T05:25:00.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 46.698276 | 89 | 0.772199 |
34df6533174f0c70fb862e4e6a065e06739dd03b | 392 | py | Python | la/oblas/data/zpotrf01.py | wtsia/gosl | 8302f76dfe76d24ea5026b225bdad234383dacf9 | [
"BSD-3-Clause"
] | 1,811 | 2015-05-21T12:47:27.000Z | 2022-03-24T04:48:00.000Z | la/oblas/data/zpotrf01.py | wtsia/gosl | 8302f76dfe76d24ea5026b225bdad234383dacf9 | [
"BSD-3-Clause"
] | 42 | 2016-09-29T05:23:28.000Z | 2021-10-30T03:12:00.000Z | la/oblas/data/zpotrf01.py | wtsia/gosl | 8302f76dfe76d24ea5026b225bdad234383dacf9 | [
"BSD-3-Clause"
] | 171 | 2015-07-14T07:50:35.000Z | 2022-03-09T10:04:15.000Z | import numpy as np
import scipy.linalg as la
from auxiliary import *
a = np.matrix([
[+4 + 0j, 0 + 1j, -3 + 1j, 0 + 2j],
[+0 - 1j, 3 + 0j, +1 + 0j, 2 + 0j],
[-3 - 1j, 1 + 0j, +4 + 0j, 1 - 1j],
[+0 - 2j, 2 + 0j, +1 + 1j, 4 + 0j],
],dtype=complex)
print a - a.getH()
res = la.cholesky(a, lower=False)
mp... | 20.631579 | 39 | 0.530612 |
18cb1107512c1d37b0568d65b23a9605c849fb19 | 1,493 | py | Python | src/1946-LargestNumberAfterMutatingSubstring.py | Jiezhi/myleetcode | b346e94c46da2a3033ebc8ff50e621aa179c4f62 | [
"MIT"
] | 1 | 2022-03-03T15:11:48.000Z | 2022-03-03T15:11:48.000Z | src/1946-LargestNumberAfterMutatingSubstring.py | Jiezhi/myleetcode | b346e94c46da2a3033ebc8ff50e621aa179c4f62 | [
"MIT"
] | null | null | null | src/1946-LargestNumberAfterMutatingSubstring.py | Jiezhi/myleetcode | b346e94c46da2a3033ebc8ff50e621aa179c4f62 | [
"MIT"
] | 2 | 2022-01-20T22:49:58.000Z | 2022-01-20T22:53:13.000Z | #!/usr/bin/env python
"""
CREATED AT: 2021/7/25
Des:
https://leetcode.com/problems/largest-number-after-mutating-substring/
https://leetcode.com/contest/weekly-contest-251/problems/largest-number-after-mutating-substring/
GITHUB: https://github.com/Jiezhi/myleetcode
"""
from typing import List
class Solution:
d... | 31.104167 | 97 | 0.490958 |
1f6900588d30dd58f1563a1d36f6ca9a47bdd11a | 1,012 | py | Python | userinfo/models.py | Chever-John/QnSystem | 51fcb13969ee9c2403bd78b24c0630ff62040994 | [
"Apache-2.0"
] | 15 | 2021-10-10T09:29:27.000Z | 2022-03-27T14:43:15.000Z | userinfo/models.py | Chever-John/QnSystem | 51fcb13969ee9c2403bd78b24c0630ff62040994 | [
"Apache-2.0"
] | 1 | 2022-03-25T14:48:08.000Z | 2022-03-26T08:28:04.000Z | userinfo/models.py | Chever-John/QnSystem | 51fcb13969ee9c2403bd78b24c0630ff62040994 | [
"Apache-2.0"
] | 6 | 2021-11-18T02:59:26.000Z | 2022-03-27T14:43:16.000Z | from django.db import models
# Create your models here.
class User(models.Model):
username = models.CharField(max_length=128, unique=True)
email = models.EmailField(unique=True)
password = models.CharField(max_length=256)
user_desc = models.CharField(max_length=500, blank=True)
c_time = models.... | 26.631579 | 65 | 0.686759 |
c00007aaf02ed37d5eb7fc4f718447734b5700ad | 1,156 | py | Python | docs/02.AI_ML/code-1805/Day03all/nb.py | mheanng/PythonNote | e3e5ede07968fab0a45f6ac4db96e62092c17026 | [
"Apache-2.0"
] | 2 | 2020-04-09T05:56:23.000Z | 2021-03-25T18:42:36.000Z | docs/02.AI_ML/code-1805/Day03all/nb.py | mheanng/PythonNote | e3e5ede07968fab0a45f6ac4db96e62092c17026 | [
"Apache-2.0"
] | 22 | 2020-04-09T06:09:14.000Z | 2021-01-06T01:05:32.000Z | docs/02.AI_ML/code-1805/Day03all/nb.py | mheanng/PythonNote | e3e5ede07968fab0a45f6ac4db96e62092c17026 | [
"Apache-2.0"
] | 6 | 2020-03-09T07:19:21.000Z | 2021-01-05T23:23:42.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import numpy as np
import sklearn.naive_bayes as nb
import matplotlib.pyplot as mp
x, y = [], []
with open('../../data/multiple1.txt', 'r') as f:
for line in f.readlines():
data = [float(substr) for substr
in line.split(',')]
... | 33.028571 | 56 | 0.606401 |
c568b870e9c81241f56a2af617cfa3cb6defb905 | 5,043 | py | Python | tests/integration-v1/cattletest/core/test_svc_scale_policy.py | lifecontrol/cattle | aea33a6ed1445276b4431544c97cea6f8a065ff9 | [
"Apache-2.0"
] | 482 | 2015-07-13T21:32:27.000Z | 2022-01-09T02:06:57.000Z | tests/integration-v1/cattletest/core/test_svc_scale_policy.py | lifecontrol/cattle | aea33a6ed1445276b4431544c97cea6f8a065ff9 | [
"Apache-2.0"
] | 1,116 | 2015-07-09T17:52:53.000Z | 2022-01-03T18:07:24.000Z | tests/integration-v1/cattletest/core/test_svc_scale_policy.py | lifecontrol/cattle | aea33a6ed1445276b4431544c97cea6f8a065ff9 | [
"Apache-2.0"
] | 230 | 2015-07-12T04:40:05.000Z | 2022-02-03T02:13:42.000Z | from common import * # NOQA
from cattle import ApiError
def _create_stack(client):
env = client.create_environment(name=random_str())
env = client.wait_success(env)
assert env.state == "active"
return env
def test_activate_svc(client, context, super_client):
env = _create_stack(client)
ima... | 35.265734 | 68 | 0.618679 |
d8a3b78f12c727512369eba4631e663029f34277 | 25,670 | py | Python | pycaret/internal/persistence.py | gururajang/pycaret | 748aa73da93045ae5f4df1a014efbce91cdf68e0 | [
"MIT"
] | 1 | 2021-07-20T14:56:35.000Z | 2021-07-20T14:56:35.000Z | pycaret/internal/persistence.py | sjoerdteunisse/pycaret | 87e3691e8b0253a7eb203bd721916d5b617fad85 | [
"MIT"
] | 1 | 2021-07-08T10:30:36.000Z | 2021-07-08T10:30:36.000Z | pycaret/internal/persistence.py | sjoerdteunisse/pycaret | 87e3691e8b0253a7eb203bd721916d5b617fad85 | [
"MIT"
] | 1 | 2021-08-29T12:20:37.000Z | 2021-08-29T12:20:37.000Z | # Module: internal.persistence
# Author: Moez Ali <moez.ali@queensu.ca> and Antoni Baum (Yard1) <antoni.baum@protonmail.com>
# License: MIT
import gc
from typing import Dict, Optional
from sklearn.pipeline import Pipeline
from pycaret.internal.utils import get_logger
def deploy_model(
model, model_name: st... | 33.251295 | 129 | 0.657421 |
92756a56b261219061b2672ab4ff25f75de8001f | 88 | py | Python | osmo_jupyter/dataset/__init__.py | OsmoSystems/osmo-jupyter | adea072709c1f51b3d731a01d324cf15dcb2ec76 | [
"MIT"
] | null | null | null | osmo_jupyter/dataset/__init__.py | OsmoSystems/osmo-jupyter | adea072709c1f51b3d731a01d324cf15dcb2ec76 | [
"MIT"
] | 3 | 2018-08-30T19:20:21.000Z | 2018-10-23T19:28:09.000Z | osmo_jupyter/dataset/__init__.py | OsmoSystems/python-jupyter-tools | adea072709c1f51b3d731a01d324cf15dcb2ec76 | [
"MIT"
] | null | null | null | from . import parse, combine, source_files # noqa: F401 # ignore unused import warning
| 44 | 87 | 0.761364 |
43d993cc36365178f428817c80a59004720fff90 | 1,432 | py | Python | pyro/distributions/torch/categorical.py | shigh/pyro | a95e654ce7588e41e1d26706f60c25cf646ed164 | [
"MIT"
] | null | null | null | pyro/distributions/torch/categorical.py | shigh/pyro | a95e654ce7588e41e1d26706f60c25cf646ed164 | [
"MIT"
] | null | null | null | pyro/distributions/torch/categorical.py | shigh/pyro | a95e654ce7588e41e1d26706f60c25cf646ed164 | [
"MIT"
] | null | null | null | from __future__ import absolute_import, division, print_function
import torch
from pyro.distributions.categorical import Categorical as _Categorical
from pyro.distributions.torch_wrapper import TorchDistribution
from pyro.distributions.util import copy_docs_from
@copy_docs_from(_Categorical)
class Categorical(Torch... | 38.702703 | 90 | 0.704609 |
8c87d91b6dd637ca376f4132361c171dfa28baf8 | 1,760 | py | Python | scanpy/tests/test_package_structure.py | jwrth/scanpy | 9fa01020d1f0712166b3591e67d0c766c765eca0 | [
"BSD-3-Clause"
] | null | null | null | scanpy/tests/test_package_structure.py | jwrth/scanpy | 9fa01020d1f0712166b3591e67d0c766c765eca0 | [
"BSD-3-Clause"
] | null | null | null | scanpy/tests/test_package_structure.py | jwrth/scanpy | 9fa01020d1f0712166b3591e67d0c766c765eca0 | [
"BSD-3-Clause"
] | null | null | null | import email
import inspect
import os
from types import FunctionType
from pathlib import Path
import pytest
from scanpy._utils import descend_classes_and_funcs
# CLI is locally not imported by default but on travis it is?
import scanpy.cli
mod_dir = Path(scanpy.__file__).parent
proj_dir = mod_dir.parent
scanpy_fun... | 25.882353 | 87 | 0.699432 |
e7254574a35d5169e4ed81915e5010cffcd6320c | 579 | py | Python | weathergov.py | blakehartshorn/icinga-nest-thermostat | 1f654533366318acb5927b3173eeab627ceb1cb4 | [
"MIT"
] | null | null | null | weathergov.py | blakehartshorn/icinga-nest-thermostat | 1f654533366318acb5927b3173eeab627ceb1cb4 | [
"MIT"
] | null | null | null | weathergov.py | blakehartshorn/icinga-nest-thermostat | 1f654533366318acb5927b3173eeab627ceb1cb4 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import requests
def weather(config,unit):
station = config['wgov_station']
r = requests.get(f'https://api.weather.gov/stations/{station}/observations/latest')
w = r.json()
humidity = w['properties']['relativeHumidity']['value']
temperature = w['properties']['temperature']['va... | 24.125 | 87 | 0.61658 |
fbb9ec08a10618ee65232f410dedce1e66fe07f5 | 6,993 | py | Python | test/dlc_tests/ec2/mxnet/inference/test_mxnet_inference.py | Jarryd-rk/deep-learning-containers | 6b98175bb70f1badd7e64843914e1c475c3128fa | [
"Apache-2.0"
] | 7 | 2021-12-18T05:49:22.000Z | 2021-12-28T09:52:32.000Z | test/dlc_tests/ec2/mxnet/inference/test_mxnet_inference.py | Jarryd-rk/deep-learning-containers | 6b98175bb70f1badd7e64843914e1c475c3128fa | [
"Apache-2.0"
] | 2 | 2022-03-28T12:39:09.000Z | 2022-03-29T12:42:01.000Z | test/dlc_tests/ec2/mxnet/inference/test_mxnet_inference.py | Jarryd-rk/deep-learning-containers | 6b98175bb70f1badd7e64843914e1c475c3128fa | [
"Apache-2.0"
] | 1 | 2021-05-29T04:30:16.000Z | 2021-05-29T04:30:16.000Z | import os
import pytest
import test.test_utils.ec2 as ec2_utils
from test import test_utils
from test.test_utils import CONTAINER_TESTS_PREFIX, get_framework_and_version_from_tag
from test.test_utils.ec2 import get_ec2_instance_type, execute_ec2_inference_test, get_ec2_accelerator_type
from test.dlc_tests.conftest im... | 50.673913 | 138 | 0.7855 |
c04e5d1c17d42f47b3f4338923b508d701be3ece | 493 | py | Python | submissions/abc076/c.py | m-star18/atcoder | 08e475810516602fa088f87daf1eba590b4e07cc | [
"Unlicense"
] | 1 | 2021-05-10T01:16:28.000Z | 2021-05-10T01:16:28.000Z | submissions/abc076/c.py | m-star18/atcoder | 08e475810516602fa088f87daf1eba590b4e07cc | [
"Unlicense"
] | 3 | 2021-05-11T06:14:15.000Z | 2021-06-19T08:18:36.000Z | submissions/abc076/c.py | m-star18/atcoder | 08e475810516602fa088f87daf1eba590b4e07cc | [
"Unlicense"
] | null | null | null | import sys
read = sys.stdin.buffer.read
readline = sys.stdin.buffer.readline
readlines = sys.stdin.buffer.readlines
sys.setrecursionlimit(10 ** 7)
s = readline().rstrip().decode()
t = read().rstrip().decode()
ans = []
for i in range(len(s) - len(t) + 1):
for j, (ss, tt) in enumerate(zip(s[i:], t)):
if ss n... | 27.388889 | 48 | 0.584178 |
efadd36918fe0685bb2902dfc34b2c0c6c9a4a78 | 34,343 | py | Python | mpldatacursor/datacursor.py | siriuspal/mpldatacursor | c569d030760bc1b8b29ba825b5ceb48adaa1b661 | [
"MIT"
] | null | null | null | mpldatacursor/datacursor.py | siriuspal/mpldatacursor | c569d030760bc1b8b29ba825b5ceb48adaa1b661 | [
"MIT"
] | null | null | null | mpldatacursor/datacursor.py | siriuspal/mpldatacursor | c569d030760bc1b8b29ba825b5ceb48adaa1b661 | [
"MIT"
] | null | null | null | __license__ = """
Copyright (c) 2012 mpldatacursor developers
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, mer... | 42.08701 | 92 | 0.609557 |
bdda90315ac9c72c174356f01f8c9c99d2dcd447 | 58,576 | py | Python | python/paddle/tensor/manipulation.py | chenbeijiy/Paddle | 82f0b5ea5c6627c6d60120c65db945d690c4f450 | [
"Apache-2.0"
] | 1 | 2020-12-20T08:21:48.000Z | 2020-12-20T08:21:48.000Z | python/paddle/tensor/manipulation.py | chenbeijiy/Paddle | 82f0b5ea5c6627c6d60120c65db945d690c4f450 | [
"Apache-2.0"
] | null | null | null | python/paddle/tensor/manipulation.py | chenbeijiy/Paddle | 82f0b5ea5c6627c6d60120c65db945d690c4f450 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 37.937824 | 457 | 0.555364 |
e70dd5bd03ba776dc114da9007853840d12d0bcb | 61,679 | py | Python | Lib/unittest/test/test_case.py | highfestiva/CPython | 225a8b08e49cb5d0161860be97471790797d890f | [
"PSF-2.0"
] | null | null | null | Lib/unittest/test/test_case.py | highfestiva/CPython | 225a8b08e49cb5d0161860be97471790797d890f | [
"PSF-2.0"
] | null | null | null | Lib/unittest/test/test_case.py | highfestiva/CPython | 225a8b08e49cb5d0161860be97471790797d890f | [
"PSF-2.0"
] | null | null | null | import contextlib
import difflib
import pprint
import pickle
import re
import sys
import logging
import warnings
import weakref
import inspect
from copy import deepcopy
from test import support
import unittest
from unittest.test.support import (
TestEquality, TestHashing, LoggingResult, LegacyLoggingResult,
... | 39.16127 | 87 | 0.595113 |
dd7305d8b56e5f80522f223417e7252ae0f640ea | 167 | py | Python | vimonous/__init__.py | dosisod/vimonous | 3e2bd74decfe922702d944a6a5ddbb25aeca2d51 | [
"MIT"
] | null | null | null | vimonous/__init__.py | dosisod/vimonous | 3e2bd74decfe922702d944a6a5ddbb25aeca2d51 | [
"MIT"
] | null | null | null | vimonous/__init__.py | dosisod/vimonous | 3e2bd74decfe922702d944a6a5ddbb25aeca2d51 | [
"MIT"
] | null | null | null | #since the module and the main file are the same name, they cannot be included directly
#this allow for other files to access Vimonous
from .vimonous import Vimonous
| 33.4 | 87 | 0.802395 |
6b2300d4abb39ac404132045b43a0235608199ab | 594 | py | Python | fedml_api/distributed/split_nn/message_define.py | xuwanwei/FedML | c049a30d9839c4554e7e14b0c18275e96fea8130 | [
"Apache-2.0"
] | 1,120 | 2020-07-22T02:30:52.000Z | 2022-03-31T08:10:44.000Z | fedml_api/distributed/split_nn/message_define.py | xuwanwei/FedML | c049a30d9839c4554e7e14b0c18275e96fea8130 | [
"Apache-2.0"
] | 113 | 2020-07-27T03:48:09.000Z | 2022-03-30T03:25:56.000Z | fedml_api/distributed/split_nn/message_define.py | xuwanwei/FedML | c049a30d9839c4554e7e14b0c18275e96fea8130 | [
"Apache-2.0"
] | 381 | 2020-07-22T06:12:57.000Z | 2022-03-30T18:38:35.000Z | class MyMessage(object):
"""
message type definition
"""
# server to client
MSG_TYPE_S2C_GRADS = 1
# client to server
MSG_TYPE_C2S_SEND_ACTS = 2
MSG_TYPE_C2S_VALIDATION_MODE = 3
MSG_TYPE_C2S_VALIDATION_OVER = 4
MSG_TYPE_C2S_PROTOCOL_FINISHED = 5
# client to client
M... | 22.846154 | 43 | 0.681818 |
a6cfa564f22530576e0ede4f8d5d03964f918536 | 2,459 | py | Python | src/layers.py | bcrafton/speed_read | 3e9c0c873e49e4948a216aae14ec0d4654d1a62c | [
"MIT"
] | null | null | null | src/layers.py | bcrafton/speed_read | 3e9c0c873e49e4948a216aae14ec0d4654d1a62c | [
"MIT"
] | null | null | null | src/layers.py | bcrafton/speed_read | 3e9c0c873e49e4948a216aae14ec0d4654d1a62c | [
"MIT"
] | 2 | 2020-11-08T12:51:23.000Z | 2021-12-02T23:16:48.000Z |
import math
import numpy as np
import matplotlib.pyplot as plt
from var import *
from conv_utils import *
from scipy.stats import norm, binom
from AA import array_allocation
#########################
class Layer:
layer_id = 0
weight_id = 0
def __init__(self):
assert(False)
de... | 23.873786 | 112 | 0.549817 |
6209cfeb654a8a4be23efc89813efe22c8e5b8ab | 10,103 | py | Python | lib/rucio/core/replica_sorter.py | abhijeetsharma200/rucio | 02de234f82fa314988d2a16e7bf27077718e32ac | [
"Apache-2.0"
] | null | null | null | lib/rucio/core/replica_sorter.py | abhijeetsharma200/rucio | 02de234f82fa314988d2a16e7bf27077718e32ac | [
"Apache-2.0"
] | null | null | null | lib/rucio/core/replica_sorter.py | abhijeetsharma200/rucio | 02de234f82fa314988d2a16e7bf27077718e32ac | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2017-2020 CERN
#
# 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 a... | 38.124528 | 129 | 0.659804 |
0078b3c7d7bf9be50893881ee06b8e20f72dab26 | 5,068 | py | Python | PythonAnalysisScripts/old/Average_Clip_Per_Day_Aligned.py | everymind/SurprisingMinds-Analysis | eeb308043f471de3cdb505f82461cf8d6cf40e16 | [
"MIT"
] | null | null | null | PythonAnalysisScripts/old/Average_Clip_Per_Day_Aligned.py | everymind/SurprisingMinds-Analysis | eeb308043f471de3cdb505f82461cf8d6cf40e16 | [
"MIT"
] | null | null | null | PythonAnalysisScripts/old/Average_Clip_Per_Day_Aligned.py | everymind/SurprisingMinds-Analysis | eeb308043f471de3cdb505f82461cf8d6cf40e16 | [
"MIT"
] | null | null | null | import os
import glob
import cv2
import datetime
import numpy as np
import matplotlib.pyplot as plt
# List relevant data locations
root_folder = "/home/kampff/DK"
day_folder = root_folder + "/SurpriseIntelligence_2017-07-25"
save_folder = root_folder + "/Clip"
# List all trial folders
trial_folders = []
for folder in... | 31.478261 | 96 | 0.678177 |
59f991351af81977873f0ab35160aa1de69019f1 | 142 | py | Python | Python/Built-Ins/python-eval.py | ekant1999/HackerRank | 084d4550b4eaf130837ab26a4efdbcaf8b667cdc | [
"MIT"
] | 9 | 2017-03-19T16:27:31.000Z | 2022-02-17T11:42:21.000Z | Python/Built-Ins/python-eval.py | ekant1999/HackerRank | 084d4550b4eaf130837ab26a4efdbcaf8b667cdc | [
"MIT"
] | null | null | null | Python/Built-Ins/python-eval.py | ekant1999/HackerRank | 084d4550b4eaf130837ab26a4efdbcaf8b667cdc | [
"MIT"
] | 6 | 2019-02-18T11:26:24.000Z | 2022-03-21T14:13:15.000Z | # Enter your code here. Read input from STDIN. Print output to STDOUT
from __future__ import print_function
var = raw_input()
eval(var) | 23.666667 | 70 | 0.753521 |
c42566981e0170ec02f17c82ec89949f96527ff4 | 8,728 | py | Python | njunmt/utils/algebra_ops.py | whr94621/NJUNMT-tf | 29e0b0c577ea7c81acdc80e7a94a1c4dfb85c118 | [
"Apache-2.0"
] | 111 | 2017-12-29T12:48:02.000Z | 2022-03-15T00:47:13.000Z | njunmt/utils/algebra_ops.py | whr94621/NJUNMT-tf | 29e0b0c577ea7c81acdc80e7a94a1c4dfb85c118 | [
"Apache-2.0"
] | 3 | 2018-01-27T13:54:42.000Z | 2020-03-02T03:07:19.000Z | njunmt/utils/algebra_ops.py | whr94621/NJUNMT-tf | 29e0b0c577ea7c81acdc80e7a94a1c4dfb85c118 | [
"Apache-2.0"
] | 44 | 2017-12-29T12:49:57.000Z | 2022-02-02T13:25:28.000Z | # Copyright 2017 Natural Language Processing Group, Nanjing University, zhaocq.nlp@gmail.com.
#
# 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... | 37.140426 | 114 | 0.639093 |
fcd559f106af470293bf2da409be244a87c118bf | 309 | py | Python | settings.py | DebugSy/lianjia-scrawler | 5b42555a69fd83c120789b3399bb8d36f9da1142 | [
"BSD-3-Clause"
] | null | null | null | settings.py | DebugSy/lianjia-scrawler | 5b42555a69fd83c120789b3399bb8d36f9da1142 | [
"BSD-3-Clause"
] | null | null | null | settings.py | DebugSy/lianjia-scrawler | 5b42555a69fd83c120789b3399bb8d36f9da1142 | [
"BSD-3-Clause"
] | null | null | null | # coding=utf-8
DBENGINE = 'mysql' # ENGINE OPTIONS: mysql, sqlite3, postgresql
DBNAME = 'scrawler'
DBUSER = 'root'
DBPASSWORD = '12345678'
DBHOST = 'localhost'
DBPORT = 3306
CITY = 'cd' # only one, shanghai=sh shenzhen=sh......
REGIONLIST = [u'shuangliu'] # only pinyin support
COMMUNITYLIST = [u'南湖逸家二期']
| 28.090909 | 64 | 0.695793 |
e3aace297984980e00dad4c82cda7a53126a3feb | 474 | py | Python | textteaser/__init__.py | artmatsak/textteaser | 0d094c7bbbe0b04dd7907d671e4346a3cc2d57ff | [
"MIT"
] | 2 | 2018-02-12T12:40:39.000Z | 2020-05-06T18:03:42.000Z | ideaman_analyzer/textteaser/__init__.py | LibRec-Practical/ideaman-offline | f8341fc9ca77adcc1191c01037dda18c02d77b29 | [
"MIT"
] | null | null | null | ideaman_analyzer/textteaser/__init__.py | LibRec-Practical/ideaman-offline | f8341fc9ca77adcc1191c01037dda18c02d77b29 | [
"MIT"
] | 1 | 2019-10-12T15:02:30.000Z | 2019-10-12T15:02:30.000Z | # !/usr/bin/python
# -*- coding: utf-8 -*-
from .summarizer import Summarizer
class TextTeaser(object):
def __init__(self):
self.summarizer = Summarizer()
def summarize(self, title, text, category="Undefined", source="Undefined", count=5):
result = self.summarizer.summarize(text, title, sou... | 26.333333 | 88 | 0.662447 |
40d01d489ac362df6e49ff745a648e6d1fcced93 | 251 | py | Python | pysprint/tests/conftest.py | Ptrskay3/PySprint | f90811970c66e8fadea1220c4c19bf95cdf33c9e | [
"MIT"
] | 13 | 2020-05-29T14:53:13.000Z | 2022-02-09T17:29:19.000Z | pysprint/tests/conftest.py | Ptrskay3/Interferometry | f90811970c66e8fadea1220c4c19bf95cdf33c9e | [
"MIT"
] | 8 | 2019-10-14T18:23:26.000Z | 2021-09-14T16:42:27.000Z | pysprint/tests/conftest.py | Ptrskay3/Interferometry | f90811970c66e8fadea1220c4c19bf95cdf33c9e | [
"MIT"
] | 1 | 2020-10-07T06:42:17.000Z | 2020-10-07T06:42:17.000Z | import os
import platform
import pytest
no_osx = pytest.mark.skipif(platform.system() == 'Darwin', reason="There is no xvfb on osx.")
no_mpl = pytest.mark.skipif(os.environ.get("RUNNER_OS", None) == "Linux", reason="There is no xvfb setup on Linux")
| 35.857143 | 115 | 0.729084 |
9c17dbb9d5d9c63c63a9831fea9bfe3c14b1869f | 221 | py | Python | weathermail/urls.py | teyrana/learn_django | ccd22239382efff44b2514c1fcfd06050c298ee1 | [
"MIT"
] | null | null | null | weathermail/urls.py | teyrana/learn_django | ccd22239382efff44b2514c1fcfd06050c298ee1 | [
"MIT"
] | null | null | null | weathermail/urls.py | teyrana/learn_django | ccd22239382efff44b2514c1fcfd06050c298ee1 | [
"MIT"
] | null | null | null | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.register, name='index'),
url(r'^register', views.result ),
url(r'^list', views.list ),
url(r'^send', views.send ),
]
| 20.090909 | 45 | 0.615385 |
209c2ddad8e5c7e01f6bc5c794b6d648d508f963 | 4,434 | py | Python | src/TheLanguage/Grammars/v0_0_1/Types/VariantType.py | davidbrownell/DavidBrownell_TheLanguage | 07170b448a0ebd7fa2325c9ccd4cefdb3cf7eb98 | [
"BSL-1.0"
] | null | null | null | src/TheLanguage/Grammars/v0_0_1/Types/VariantType.py | davidbrownell/DavidBrownell_TheLanguage | 07170b448a0ebd7fa2325c9ccd4cefdb3cf7eb98 | [
"BSL-1.0"
] | null | null | null | src/TheLanguage/Grammars/v0_0_1/Types/VariantType.py | davidbrownell/DavidBrownell_TheLanguage | 07170b448a0ebd7fa2325c9ccd4cefdb3cf7eb98 | [
"BSL-1.0"
] | 1 | 2021-06-18T18:58:57.000Z | 2021-06-18T18:58:57.000Z | # ----------------------------------------------------------------------
# |
# | VariantType.py
# |
# | David Brownell <db@DavidBrownell.com>
# | 2021-10-12 11:31:04
# |
# ----------------------------------------------------------------------
# |
# | Copyright David Brownell 2021
# | Distributed unde... | 31.446809 | 87 | 0.411367 |
3d4c7fcaa58d53fd1b9d381b6eaa1aa53e6578da | 1,646 | py | Python | server/src/base/pb/protocol/python/IM/Other_pb2.py | zergl/TeamTalk | 21cbb9dc98d123ec1f7f75e6d2b5f83a3b76bc66 | [
"Apache-2.0"
] | 6 | 2016-06-17T10:28:03.000Z | 2018-03-05T08:40:25.000Z | server/src/base/pb/protocol/python/IM/Other_pb2.py | zergl/TeamTalk | 21cbb9dc98d123ec1f7f75e6d2b5f83a3b76bc66 | [
"Apache-2.0"
] | null | null | null | server/src/base/pb/protocol/python/IM/Other_pb2.py | zergl/TeamTalk | 21cbb9dc98d123ec1f7f75e6d2b5f83a3b76bc66 | [
"Apache-2.0"
] | 1 | 2018-05-28T12:52:30.000Z | 2018-05-28T12:52:30.000Z | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: IM.Other.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _refl... | 26.126984 | 121 | 0.772175 |
018ace3d8ff9b89bb3d7b19b60b0e1e393c0c3cf | 11,613 | py | Python | Scripts/thimble.py | JamieHeather/istitchr-test | 24bb0742137f3cee67734b65c66bf62f51aad29a | [
"BSD-3-Clause"
] | null | null | null | Scripts/thimble.py | JamieHeather/istitchr-test | 24bb0742137f3cee67734b65c66bf62f51aad29a | [
"BSD-3-Clause"
] | null | null | null | Scripts/thimble.py | JamieHeather/istitchr-test | 24bb0742137f3cee67734b65c66bf62f51aad29a | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/python3
# -*- coding: utf-8 -*-
"""
thimble.py
Runs stiTChR in a high-throughput manner, on a tab separated input file.
No fancy backronym or contrived silent capitals - it just helps you stitch faster.
"""
import functions as fxn
import stitchr as st
import warnings
import argparse
import sys
import o... | 48.3875 | 120 | 0.532421 |
c84248dcde3558de220ea644edcd77c70cbd512b | 11,898 | py | Python | spearmint/kernels/kernel_utils.py | cuihenggang/Spearmint-hips | 1eba350523f4b615e5c90159928e27bb2b378e32 | [
"RSA-MD"
] | 1,590 | 2015-01-02T19:11:29.000Z | 2022-03-31T13:36:16.000Z | spearmint/kernels/kernel_utils.py | cuihenggang/Spearmint-hips | 1eba350523f4b615e5c90159928e27bb2b378e32 | [
"RSA-MD"
] | 99 | 2015-02-20T06:45:49.000Z | 2021-12-06T13:28:44.000Z | spearmint/kernels/kernel_utils.py | cuihenggang/Spearmint-hips | 1eba350523f4b615e5c90159928e27bb2b378e32 | [
"RSA-MD"
] | 366 | 2015-01-17T20:29:49.000Z | 2022-02-21T16:22:31.000Z | # -*- coding: utf-8 -*-
# Spearmint
#
# Academic and Non-Commercial Research Use Software License and Terms
# of Use
#
# Spearmint is a software package to perform Bayesian optimization
# according to specific algorithms (the “Software”). The Software is
# designed to automatically run experiments (thus the code name
... | 43.742647 | 95 | 0.731552 |
7066e1bedbc21475587fc994cde00617dfe58a50 | 19,357 | py | Python | airflow/providers/google/cloud/operators/functions.py | ncolomer/airflow | cb7c67dea9cd9b9c5de10e355b63039446003149 | [
"Apache-2.0"
] | 2 | 2021-07-30T17:25:56.000Z | 2021-08-03T13:51:09.000Z | airflow/providers/google/cloud/operators/functions.py | ncolomer/airflow | cb7c67dea9cd9b9c5de10e355b63039446003149 | [
"Apache-2.0"
] | null | null | null | airflow/providers/google/cloud/operators/functions.py | ncolomer/airflow | cb7c67dea9cd9b9c5de10e355b63039446003149 | [
"Apache-2.0"
] | null | null | null | #
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not... | 39.829218 | 109 | 0.656817 |
18bf5e70e6aa9011afdc2aacebf49cd1b1ef92ef | 1,382 | py | Python | kwargs.py | iansantana00/Python-Course | 43852aa64c93099342ab4765b0fe8729a959449e | [
"MIT"
] | 2 | 2022-01-13T15:55:58.000Z | 2022-02-11T23:18:34.000Z | kwargs.py | iansantana00/Python-Course | 43852aa64c93099342ab4765b0fe8729a959449e | [
"MIT"
] | null | null | null | kwargs.py | iansantana00/Python-Course | 43852aa64c93099342ab4765b0fe8729a959449e | [
"MIT"
] | null | null | null | """
**kwargs
Poderíamos chamar este parâmetro de **xis, por exemplo, mas por convenção chamamos de **kwargs
Este é só mais um parâmetro, mas diferente do *args que coloca os valores extras em uma tupla,
o **kwargs exige que utilizemos parâmetros nomeados, e transforma esses
parâmetros extras em um dicionário.... | 30.043478 | 110 | 0.698987 |
fa82bc0d02fd2c85aced5eead8b7d776013bedca | 16,338 | py | Python | sympy/utilities/autowrap.py | minrk/sympy | 1cc6e3837b8ed20ba52ea97298f31aa08b43c508 | [
"BSD-3-Clause"
] | 2 | 2015-11-13T16:40:57.000Z | 2017-09-15T15:37:19.000Z | sympy_old/utilities/autowrap.py | curzel-it/KiPyCalc | 909c783d5e6967ea58ca93f875106d8a8e3ca5db | [
"MIT"
] | 1 | 2016-06-13T01:29:51.000Z | 2016-06-14T00:38:27.000Z | sympy_old/utilities/autowrap.py | curzel-it/KiPyCalc | 909c783d5e6967ea58ca93f875106d8a8e3ca5db | [
"MIT"
] | 1 | 2022-03-21T09:07:27.000Z | 2022-03-21T09:07:27.000Z | """Module for compiling codegen output, and wrap the binary for use in python.
.. note:: To use the autowrap module it must first be imported
>>> from sympy.utilities.autowrap import autowrap
This module provides a common interface for different external backends, such
as f2py, fwrap, Cython, SWIG(?) etc. (Curren... | 35.828947 | 93 | 0.615865 |
203ab0e6ce609153f0ce5930890ee6c581402c22 | 2,107 | py | Python | application.py | MacosPrintes001/webservice-paem | fa992e4bda40eaae3b585cee2ad2b65685104cc3 | [
"Apache-2.0"
] | null | null | null | application.py | MacosPrintes001/webservice-paem | fa992e4bda40eaae3b585cee2ad2b65685104cc3 | [
"Apache-2.0"
] | null | null | null | application.py | MacosPrintes001/webservice-paem | fa992e4bda40eaae3b585cee2ad2b65685104cc3 | [
"Apache-2.0"
] | null | null | null | from app import api
from app import AuthorizationResource, AuthorizationBotResource
from app import UsuarioResource, ListaUsuarioResource
from app import DocenteResource, ListaDocenteResource
from app import DiscenteResource, ListaDiscenteResource
from app import TecnicoResource, ListaTecnicoResource
from app import Di... | 32.921875 | 73 | 0.871856 |
756346658a71346e70769620886da02c5d7f6039 | 10,502 | py | Python | edo_client/api/message.py | easydo-cn/edo_client | 775f185c54f2eeda6a7dd6482de8228ca9ad89b0 | [
"Apache-2.0"
] | null | null | null | edo_client/api/message.py | easydo-cn/edo_client | 775f185c54f2eeda6a7dd6482de8228ca9ad89b0 | [
"Apache-2.0"
] | null | null | null | edo_client/api/message.py | easydo-cn/edo_client | 775f185c54f2eeda6a7dd6482de8228ca9ad89b0 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import json
from .base import BaseApi
from ..error import ApiError
class MessageV2Api(BaseApi):
''' Message V2 APIs '''
def trigger_notify_event(
self,
category='default', to=None, exclude=None,
event_name='notify', event_data=None, event_type='persistent',
... | 34.660066 | 104 | 0.59722 |
f4918d0671d95457ca477414dc4c555ab5edf307 | 4,739 | py | Python | relaxrender/triangle.py | hefangwuwu/relaxrender | adcf3fa5dc7d38f0af8308083fadf665dd30bdb2 | [
"MIT"
] | 4 | 2018-06-08T16:42:30.000Z | 2018-06-21T19:41:58.000Z | relaxrender/triangle.py | hefangwuwu/relaxrender | adcf3fa5dc7d38f0af8308083fadf665dd30bdb2 | [
"MIT"
] | 70 | 2018-06-15T08:46:25.000Z | 2018-06-25T10:47:16.000Z | relaxrender/triangle.py | hefangwuwu/relaxrender | adcf3fa5dc7d38f0af8308083fadf665dd30bdb2 | [
"MIT"
] | 56 | 2018-06-08T11:46:05.000Z | 2018-06-25T04:15:17.000Z | import numpy as np
from .points import Point3D, Point, Vector, Points, Point3D_store
class Triangle:
data_width = Point.data_width*3 + Vector.data_width
def __init__(self, p1, p2, p3, n=Vector.place_holder()):
# p1, p2, p3 are Point3D type of object.
self.p1 = p1
self.p2 = p2
... | 35.365672 | 87 | 0.535767 |
383bb9bf07b691a1d5bca981984c14ab61fc989d | 12,792 | py | Python | train.py | alexdloia/squad | 1ec79d76815ba8ce68f1b6898a618316a1490110 | [
"MIT"
] | null | null | null | train.py | alexdloia/squad | 1ec79d76815ba8ce68f1b6898a618316a1490110 | [
"MIT"
] | null | null | null | train.py | alexdloia/squad | 1ec79d76815ba8ce68f1b6898a618316a1490110 | [
"MIT"
] | null | null | null | """Train a model on SQuAD.
Author:
Chris Chute (chute@stanford.edu)
"""
import numpy as np
import random
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torch.optim.lr_scheduler as sched
import torch.utils.data as data
import util
from args import get_train_a... | 43.216216 | 120 | 0.513602 |
8baf24b62656495c676a81aa98c1fb872c2659c4 | 3,559 | py | Python | bindings/python/ensmallen/datasets/string/enhydrobacteraerosaccus.py | AnacletoLAB/ensmallen_graph | b2c1b18fb1e5801712852bcc239f239e03076f09 | [
"MIT"
] | 5 | 2021-02-17T00:44:45.000Z | 2021-08-09T16:41:47.000Z | bindings/python/ensmallen/datasets/string/enhydrobacteraerosaccus.py | AnacletoLAB/ensmallen_graph | b2c1b18fb1e5801712852bcc239f239e03076f09 | [
"MIT"
] | 18 | 2021-01-07T16:47:39.000Z | 2021-08-12T21:51:32.000Z | bindings/python/ensmallen/datasets/string/enhydrobacteraerosaccus.py | AnacletoLAB/ensmallen | b2c1b18fb1e5801712852bcc239f239e03076f09 | [
"MIT"
] | 3 | 2021-01-14T02:20:59.000Z | 2021-08-04T19:09:52.000Z | """
This file offers the methods to automatically retrieve the graph Enhydrobacter aerosaccus.
The graph is automatically retrieved from the STRING repository.
References
---------------------
Please cite the following if you use the data:
```bib
@article{szklarczyk2019string,
title={STRING v11: protein--prote... | 32.953704 | 223 | 0.678561 |
94fa2db6db2eafe099f17c8859acde78833f6eae | 541,619 | py | Python | napalm_yang/models/openconfig/network_instances/network_instance/protocols/protocol/isis/levels/level/link_state_database/lsp/tlvs/tlv/mt_isn/neighbors/neighbor/subTLVs/subTLVs_/link_loss/state/__init__.py | ckishimo/napalm-yang | 8f2bd907bd3afcde3c2f8e985192de74748baf6c | [
"Apache-2.0"
] | 64 | 2016-10-20T15:47:18.000Z | 2021-11-11T11:57:32.000Z | napalm_yang/models/openconfig/network_instances/network_instance/protocols/protocol/isis/levels/level/link_state_database/lsp/tlvs/tlv/mt_isn/neighbors/neighbor/subTLVs/subTLVs_/link_loss/state/__init__.py | ckishimo/napalm-yang | 8f2bd907bd3afcde3c2f8e985192de74748baf6c | [
"Apache-2.0"
] | 126 | 2016-10-05T10:36:14.000Z | 2019-05-15T08:43:23.000Z | napalm_yang/models/openconfig/network_instances/network_instance/protocols/protocol/isis/levels/level/link_state_database/lsp/tlvs/tlv/mt_isn/neighbors/neighbor/subTLVs/subTLVs_/link_loss/state/__init__.py | ckishimo/napalm-yang | 8f2bd907bd3afcde3c2f8e985192de74748baf6c | [
"Apache-2.0"
] | 63 | 2016-11-07T15:23:08.000Z | 2021-09-22T14:41:16.000Z | # -*- coding: utf-8 -*-
from operator import attrgetter
from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType
from pyangbind.lib.yangtypes import RestrictedClassType
from pyangbind.lib.yangtypes import TypedListType
from pyangbind.lib.yangtypes import YANGBool
from pyangbind.lib.yangtypes import YANGListTy... | 67.863551 | 42,480 | 0.490611 |
d3475122fa8abfecd488ea80527d1bda8f2945f4 | 8,353 | py | Python | tests/test_stump.py | profintegra/stumpy | 66b3402d91820005b466e1da6fe353b61e6246c5 | [
"BSD-3-Clause"
] | 2,296 | 2019-05-03T19:26:39.000Z | 2022-03-31T20:42:08.000Z | tests/test_stump.py | vishalbelsare/stumpy | 5f192a0a41fbb44f144cc4b676d525f19aaeaa98 | [
"BSD-3-Clause"
] | 436 | 2019-05-06T14:14:01.000Z | 2022-03-31T20:39:31.000Z | tests/test_stump.py | vishalbelsare/stumpy | 5f192a0a41fbb44f144cc4b676d525f19aaeaa98 | [
"BSD-3-Clause"
] | 318 | 2019-05-04T01:36:05.000Z | 2022-03-31T20:31:11.000Z | import numpy as np
import numpy.testing as npt
import pandas as pd
from stumpy import stump, config
import pytest
import naive
test_data = [
(
np.array([9, 8100, -60, 7], dtype=np.float64),
np.array([584, -11, 23, 79, 1001, 0, -19], dtype=np.float64),
),
(
np.random.uniform(-1000, ... | 34.374486 | 88 | 0.677242 |
0d9a6f4cea1a3c31359df38ab54393aad44dbfa1 | 1,126 | py | Python | src/transformers/models/phobert/__init__.py | bugface/transformers | ba286fe7d51db12ad663effac83bed8199dd7141 | [
"Apache-2.0"
] | 5 | 2020-09-01T09:15:48.000Z | 2020-09-15T03:25:05.000Z | src/transformers/models/phobert/__init__.py | bugface/transformers | ba286fe7d51db12ad663effac83bed8199dd7141 | [
"Apache-2.0"
] | 2 | 2022-03-08T04:58:59.000Z | 2022-03-19T03:45:14.000Z | src/transformers/models/phobert/__init__.py | bugface/transformers | ba286fe7d51db12ad663effac83bed8199dd7141 | [
"Apache-2.0"
] | 3 | 2020-08-20T04:46:25.000Z | 2020-10-14T08:39:13.000Z | # flake8: noqa
# There's no way to ignore "F401 '...' imported but unused" warnings in this
# module, but to preserve other warnings. So, don't check this module at all.
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use thi... | 33.117647 | 113 | 0.760213 |
6ce0f8a1031f784269a403788ffe119661c62192 | 2,597 | py | Python | _utils.py | rivoric/githubaccess | c1b58e6ebbda3778ac10b1e2c975fcd959f3a026 | [
"MIT"
] | null | null | null | _utils.py | rivoric/githubaccess | c1b58e6ebbda3778ac10b1e2c975fcd959f3a026 | [
"MIT"
] | null | null | null | _utils.py | rivoric/githubaccess | c1b58e6ebbda3778ac10b1e2c975fcd959f3a026 | [
"MIT"
] | null | null | null | from github import Github
import optparse
import re
def githuboptparse():
"""Returns an optparse.OptionParser object with the standard github options"""
parser = optparse.OptionParser()
parser.add_option('-u', '--username', action="store", dest="user",
help="Github username to... | 39.953846 | 112 | 0.610705 |
68b33c671faf3abab1b00aff586a2be1c2530929 | 636 | py | Python | manage.py | collokoech/Insta-Clone | 2732f3fcc33d0757a1234b040ca0a8fdb32ef6d9 | [
"MIT"
] | 2 | 2020-02-19T13:13:50.000Z | 2020-08-20T17:17:38.000Z | manage.py | collokoech/Insta-Clone | 2732f3fcc33d0757a1234b040ca0a8fdb32ef6d9 | [
"MIT"
] | 9 | 2021-03-19T08:38:14.000Z | 2022-03-12T00:19:44.000Z | manage.py | kiprotichdominic/InsClone | ea940a2989478d89c11e1a4e2e54bc9d2fe1d34a | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'instagramproject.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
rai... | 28.909091 | 80 | 0.687107 |
613e4463ec19801d9edaac460c82e73197202b68 | 1,828 | py | Python | vega/algorithms/nas/sp_nas/utils/coco_utils.py | qixiuai/vega | 3e6588ea4aedb03e3594a549a97ffdb86adb88d1 | [
"MIT"
] | 12 | 2020-12-13T08:34:24.000Z | 2022-03-20T15:17:17.000Z | vega/algorithms/nas/sp_nas/utils/coco_utils.py | JacobLee121/vega | 19256aca4d047bfad3b461f0a927e1c2abb9eb03 | [
"MIT"
] | 3 | 2021-03-31T20:15:40.000Z | 2022-02-09T23:50:46.000Z | built-in/TensorFlow/Research/cv/image_classification/Darts_for_TensorFlow/automl/vega/algorithms/nas/sp_nas/utils/coco_utils.py | Huawei-Ascend/modelzoo | df51ed9c1d6dbde1deef63f2a037a369f8554406 | [
"Apache-2.0"
] | 2 | 2021-06-25T09:42:32.000Z | 2021-08-06T18:00:09.000Z | # -*- coding:utf-8 -*-
# Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved.
# This program is free software; you can redistribute it and/or modify
# it under the terms of the MIT License.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the ... | 32.642857 | 72 | 0.67779 |
8202d88fc4a4d6a3a16eab2c3d9fd79c69a91acc | 4,033 | py | Python | apps/sir_app/sir_app.py | rafaelvalero/covid_forecast | 4e009ade5481f4e3bd48fd8048ca7d293d5d19b4 | [
"MIT"
] | 3 | 2020-03-20T14:23:51.000Z | 2020-03-29T18:55:12.000Z | apps/sir_app/sir_app.py | rafaelvalero/covid_forecast | 4e009ade5481f4e3bd48fd8048ca7d293d5d19b4 | [
"MIT"
] | 2 | 2020-03-21T14:07:17.000Z | 2020-03-22T07:38:11.000Z | apps/sir_app/sir_app.py | rafaelvalero/covid_forecast | 4e009ade5481f4e3bd48fd8048ca7d293d5d19b4 | [
"MIT"
] | 1 | 2020-05-12T14:37:28.000Z | 2020-05-12T14:37:28.000Z | """
To run this app
you shoud go to the folder and run
'''bokeh serve --show sir_v3.py'''
"""
from bokeh.io import show, output_notebook, push_notebook
from bokeh.plotting import figure
from bokeh.models import CategoricalColorMapper, HoverTool, ColumnDataSource, Panel
from bokeh.models.widgets import CheckboxGroup, ... | 31.507813 | 113 | 0.681875 |
d0e27756ea570d25c778349849f646d432ca2f6b | 385 | py | Python | src/vectorfields/__init__.py | OlafHaag/VectorFields | f666ba054be2aa23b9a5b0e29be330701bb0aa4c | [
"MIT"
] | 107 | 2019-02-12T13:06:14.000Z | 2022-03-26T06:45:23.000Z | src/vectorfields/__init__.py | raven1934/VectorFields | 7ea6f0267b1d863363025ed89e981c0fda16e23e | [
"MIT"
] | 3 | 2020-01-07T21:54:30.000Z | 2022-01-18T23:11:05.000Z | src/vectorfields/__init__.py | raven1934/VectorFields | 7ea6f0267b1d863363025ed89e981c0fda16e23e | [
"MIT"
] | 16 | 2019-05-06T22:05:55.000Z | 2022-03-04T06:32:36.000Z | from .vectorfields import VectorField,\
VectorField2D,\
Vortex2D,\
Convolution2D, \
ElectricDipole2D, \
TwirlFlow2D, \
Belt2D, \
CustomUV2... | 29.615385 | 45 | 0.345455 |
d8aae2f28fb2afc04527b6d73e35eaee56a91792 | 1,436 | py | Python | aliyun-python-sdk-ram/aliyunsdkram/request/v20150501/CreateAccessKeyRequest.py | yndu13/aliyun-openapi-python-sdk | 12ace4fb39fe2fb0e3927a4b1b43ee4872da43f5 | [
"Apache-2.0"
] | 1,001 | 2015-07-24T01:32:41.000Z | 2022-03-25T01:28:18.000Z | aliyun-python-sdk-ram/aliyunsdkram/request/v20150501/CreateAccessKeyRequest.py | yndu13/aliyun-openapi-python-sdk | 12ace4fb39fe2fb0e3927a4b1b43ee4872da43f5 | [
"Apache-2.0"
] | 363 | 2015-10-20T03:15:00.000Z | 2022-03-08T12:26:19.000Z | aliyun-python-sdk-ram/aliyunsdkram/request/v20150501/CreateAccessKeyRequest.py | yndu13/aliyun-openapi-python-sdk | 12ace4fb39fe2fb0e3927a4b1b43ee4872da43f5 | [
"Apache-2.0"
] | 682 | 2015-09-22T07:19:02.000Z | 2022-03-22T09:51:46.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 37.789474 | 74 | 0.767409 |
dbc36746ae06a7f824aea8d92b29daf16466692e | 3,585 | py | Python | sdk/python/feast/online_response.py | randxie/feast | cc003155ae0ddaaf4894c88e71c35c4698daf25a | [
"Apache-2.0"
] | null | null | null | sdk/python/feast/online_response.py | randxie/feast | cc003155ae0ddaaf4894c88e71c35c4698daf25a | [
"Apache-2.0"
] | null | null | null | sdk/python/feast/online_response.py | randxie/feast | cc003155ae0ddaaf4894c88e71c35c4698daf25a | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 The Feast Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... | 35.147059 | 132 | 0.663877 |
369962add2316def0456fba92c20113b4d850681 | 11,295 | py | Python | hw1/cds_rl/infrastructure/rl_trainer.py | Shimanogov/mipt-rl-hw-2023 | 516eb68e922aba4c468f1df173edf549063fe167 | [
"MIT"
] | null | null | null | hw1/cds_rl/infrastructure/rl_trainer.py | Shimanogov/mipt-rl-hw-2023 | 516eb68e922aba4c468f1df173edf549063fe167 | [
"MIT"
] | null | null | null | hw1/cds_rl/infrastructure/rl_trainer.py | Shimanogov/mipt-rl-hw-2023 | 516eb68e922aba4c468f1df173edf549063fe167 | [
"MIT"
] | null | null | null | from collections import OrderedDict
import numpy as np
import time
import gym
import torch
from cds_rl.infrastructure import pytorch_util as ptu
from cds_rl.infrastructure.logger import Logger
from cds_rl.infrastructure import utils
import pickle
# how many rollouts to save as videos to tensorboard
MAX_NVIDEO = 2
M... | 41.072727 | 150 | 0.620363 |
46f82e807e9697f3e64903ad92e4496219df651b | 1,219 | py | Python | setup.py | myenergymanager/aio_nameko_proxy | 896546d8082b90dcaa06809536ef9c84ad462cf5 | [
"Apache-2.0"
] | 16 | 2020-04-23T12:28:56.000Z | 2022-03-31T07:46:44.000Z | setup.py | myenergymanager/aio_nameko_proxy | 896546d8082b90dcaa06809536ef9c84ad462cf5 | [
"Apache-2.0"
] | 3 | 2020-08-10T09:22:45.000Z | 2021-09-15T01:32:09.000Z | setup.py | myenergymanager/aio_nameko_proxy | 896546d8082b90dcaa06809536ef9c84ad462cf5 | [
"Apache-2.0"
] | 7 | 2020-06-09T03:27:33.000Z | 2021-12-08T19:43:01.000Z | import os
from setuptools import setup, find_packages
DIR = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(DIR, "README.md")) as f:
long_desc = f.read()
desc = '''A standalone nameko rpc proxy for asyncio and a wrapper for using nameko rpc proxy with Sanic. '''
setup(
name="aio-nameko-pr... | 30.475 | 108 | 0.630025 |
2d5daf1ae69c01add39854b4d01de7b982e25efe | 6,600 | py | Python | markdownify/__init__.py | AndrewCRichards/python-markdownify | 25d68b4265071402f3addf0f35db040ae87c5864 | [
"MIT"
] | null | null | null | markdownify/__init__.py | AndrewCRichards/python-markdownify | 25d68b4265071402f3addf0f35db040ae87c5864 | [
"MIT"
] | null | null | null | markdownify/__init__.py | AndrewCRichards/python-markdownify | 25d68b4265071402f3addf0f35db040ae87c5864 | [
"MIT"
] | null | null | null | from bs4 import BeautifulSoup, NavigableString
import re
import six
convert_heading_re = re.compile(r'convert_h(\d+)')
line_beginning_re = re.compile(r'^', re.MULTILINE)
whitespace_re = re.compile(r'[\r\n\s\t ]+')
# Heading styles
ATX = 'atx'
ATX_CLOSED = 'atx_closed'
UNDERLINED = 'underlined'
SETEXT = UNDERLINED
... | 31.132075 | 92 | 0.555606 |
0f190ec57ac9d925af5d3e817c2f62912e60ecb6 | 6,768 | py | Python | text-performance-attribution/src/analysis/evaluator.py | mathcass/deconfounded_lexicon_induction | 8a2ac16e2eb3084c9062819865091fecacc2b41e | [
"MIT"
] | 21 | 2018-03-02T21:15:25.000Z | 2022-01-01T18:30:38.000Z | text-performance-attribution/src/analysis/evaluator.py | mathcass/deconfounded_lexicon_induction | 8a2ac16e2eb3084c9062819865091fecacc2b41e | [
"MIT"
] | 2 | 2021-08-25T14:46:23.000Z | 2022-02-09T23:30:11.000Z | text-performance-attribution/src/analysis/evaluator.py | mathcass/deconfounded_lexicon_induction | 8a2ac16e2eb3084c9062819865091fecacc2b41e | [
"MIT"
] | 6 | 2018-08-08T09:52:04.000Z | 2021-05-04T20:27:02.000Z | """Code for pulling words out of trained models and evaluating them."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import numpy as np
from sklearn import linear_model
from sklearn import model_selection
import sklearn.metrics
import sys; sys.pa... | 37.6 | 80 | 0.706265 |
9eab6fab04a9dd2a4418d2a16d3d5e73621b501a | 27,791 | py | Python | tests/unit/test_req.py | QuentinLee5/pip | e17ddea0e33c3dc02e823cc20bdf4990c65ce576 | [
"MIT"
] | null | null | null | tests/unit/test_req.py | QuentinLee5/pip | e17ddea0e33c3dc02e823cc20bdf4990c65ce576 | [
"MIT"
] | null | null | null | tests/unit/test_req.py | QuentinLee5/pip | e17ddea0e33c3dc02e823cc20bdf4990c65ce576 | [
"MIT"
] | null | null | null | import contextlib
import os
import shutil
import sys
import tempfile
from functools import partial
from unittest.mock import patch
import pytest
from pip._vendor import pkg_resources
from pip._vendor.packaging.markers import Marker
from pip._vendor.packaging.requirements import Requirement
from pip._internal.commands... | 37.555405 | 79 | 0.623223 |
5f26937c45faf347e740aaa093f2c02257743996 | 1,200 | py | Python | awx/api/parsers.py | gitEdouble/awx | 5885654405ccaf465f08df4db998a6dafebd9b4d | [
"Apache-2.0"
] | 1 | 2018-09-28T16:02:30.000Z | 2018-09-28T16:02:30.000Z | awx/api/parsers.py | gitEdouble/awx | 5885654405ccaf465f08df4db998a6dafebd9b4d | [
"Apache-2.0"
] | 1 | 2020-04-09T08:43:28.000Z | 2020-04-09T08:43:28.000Z | awx/api/parsers.py | gitEdouble/awx | 5885654405ccaf465f08df4db998a6dafebd9b4d | [
"Apache-2.0"
] | 2 | 2018-09-03T19:10:02.000Z | 2019-06-12T07:07:16.000Z | # Python
from collections import OrderedDict
import json
# Django
from django.conf import settings
from django.utils import six
from django.utils.translation import ugettext_lazy as _
# Django REST Framework
from rest_framework import parsers
from rest_framework.exceptions import ParseError
class JSONParser(parsers... | 32.432432 | 110 | 0.67 |
1d6e32902017fe5ed44111b334e1b5258c3f7596 | 4,148 | py | Python | venv/lib/python3.8/site-packages/pygments/lexers/ampl.py | johncollinsai/post-high-frequency-data | 88533b0e0afc7e7f82fee1d3ca4b68abc30aaeb4 | [
"MIT"
] | 7 | 2022-01-16T12:28:16.000Z | 2022-03-04T15:31:45.000Z | venv/lib/python3.8/site-packages/pygments/lexers/ampl.py | johncollinsai/post-high-frequency-data | 88533b0e0afc7e7f82fee1d3ca4b68abc30aaeb4 | [
"MIT"
] | 8 | 2021-09-22T12:47:32.000Z | 2022-01-14T21:30:38.000Z | venv/lib/python3.8/site-packages/pygments/lexers/ampl.py | johncollinsai/post-high-frequency-data | 88533b0e0afc7e7f82fee1d3ca4b68abc30aaeb4 | [
"MIT"
] | 2 | 2022-01-17T16:50:08.000Z | 2022-01-17T20:59:27.000Z | """
pygments.lexers.ampl
~~~~~~~~~~~~~~~~~~~~
Lexers for the AMPL language.
:copyright: Copyright 2006-2021 by the Pygments team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
from pygments.lexer import RegexLexer, bygroups, using, this, words
from pygments.token import Text, Comment, ... | 47.678161 | 96 | 0.473722 |
f64e48b6417eb190a6afb47ff5b618f81e6e702a | 2,052 | py | Python | data_collection/gazette/spiders/base/imprensa_oficial.py | kaiocp/querido-diario | 86004049c6eee305e13066cf3607d30849bb099a | [
"MIT"
] | 454 | 2018-04-07T03:32:57.000Z | 2020-08-17T19:56:22.000Z | data_collection/gazette/spiders/base/imprensa_oficial.py | kaiocp/querido-diario | 86004049c6eee305e13066cf3607d30849bb099a | [
"MIT"
] | 254 | 2020-08-18T14:09:43.000Z | 2022-03-28T11:30:51.000Z | data_collection/gazette/spiders/base/imprensa_oficial.py | kaiocp/querido-diario | 86004049c6eee305e13066cf3607d30849bb099a | [
"MIT"
] | 183 | 2018-04-11T15:09:37.000Z | 2020-08-15T18:55:11.000Z | import re
from datetime import date, datetime
import scrapy
from dateutil.rrule import MONTHLY, rrule
from gazette.items import Gazette
from gazette.spiders.base import BaseGazetteSpider
class ImprensaOficialSpider(BaseGazetteSpider):
def start_requests(self):
initial_date = date(self.start_date.year, s... | 37.309091 | 85 | 0.621832 |
d95a97d744430ead0a5e5b60dacf212f20b86ab8 | 625 | py | Python | scripts/common.py | bbardoczy/QuantEcon.py | 2c3b081b3373183be5b4c5393e176ed66feec1e3 | [
"BSD-3-Clause"
] | 1 | 2022-03-09T14:43:35.000Z | 2022-03-09T14:43:35.000Z | scripts/common.py | bbardoczy/QuantEcon.py | 2c3b081b3373183be5b4c5393e176ed66feec1e3 | [
"BSD-3-Clause"
] | null | null | null | scripts/common.py | bbardoczy/QuantEcon.py | 2c3b081b3373183be5b4c5393e176ed66feec1e3 | [
"BSD-3-Clause"
] | null | null | null | """
Provides Context Manager for Test Scripts
"""
import sys
class RedirectStdStreams(object):
def __init__(self, stdout=None, stderr=None):
self._stdout = stdout or sys.stdout
self._stderr = stderr or sys.stderr
def __enter__(self):
self.old_stdout, self.old_stderr = sys.stdout, sys.... | 31.25 | 65 | 0.6784 |
8364a26a34a675e2a4e7825957073c79927866dc | 1,018 | py | Python | google/ads/google_ads/v4/services/keyword_plan_ad_group_keyword_service_client_config.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | 1 | 2021-04-09T04:28:47.000Z | 2021-04-09T04:28:47.000Z | google/ads/google_ads/v4/services/keyword_plan_ad_group_keyword_service_client_config.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | null | null | null | google/ads/google_ads/v4/services/keyword_plan_ad_group_keyword_service_client_config.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | null | null | null | config = {
"interfaces": {
"google.ads.googleads.v4.services.KeywordPlanAdGroupKeywordService": {
"retry_codes": {
"idempotent": [
"DEADLINE_EXCEEDED",
"UNAVAILABLE"
],
"non_idempotent": []
},
"retry_params": {
"default": {
"initial_r... | 27.513514 | 74 | 0.551081 |
b0bb698f16d2e1920e8064a9e324948768e454ae | 8,312 | py | Python | mlinsights/search_rank/search_engine_predictions_images.py | sdpython/mlinsights | bae59cda775a69bcce83b16b88df2f34a092cb60 | [
"MIT"
] | 48 | 2017-11-19T14:59:41.000Z | 2022-03-03T15:50:24.000Z | mlinsights/search_rank/search_engine_predictions_images.py | sdpython/mlinsights | bae59cda775a69bcce83b16b88df2f34a092cb60 | [
"MIT"
] | 87 | 2017-11-20T00:10:32.000Z | 2021-11-20T01:48:09.000Z | mlinsights/search_rank/search_engine_predictions_images.py | sdpython/mlinsights | bae59cda775a69bcce83b16b88df2f34a092cb60 | [
"MIT"
] | 12 | 2019-05-09T07:45:52.000Z | 2021-06-28T06:55:53.000Z | """
@file
@brief Implements a way to get close examples based
on the output of a machine learned model.
"""
import numpy
from .search_engine_predictions import SearchEnginePredictions
class SearchEnginePredictionImages(SearchEnginePredictions):
"""
Extends class @see cl SearchEnginePredictions.
Vectors ar... | 49.772455 | 125 | 0.581689 |
7727d5d0da4cbc73af500d919045cdf28846a294 | 647 | py | Python | armyguys/aws/route53/hostedzone.py | jtpaasch/armyguys | 4f138420ba42d6d9864176a87c709af014034429 | [
"MIT"
] | null | null | null | armyguys/aws/route53/hostedzone.py | jtpaasch/armyguys | 4f138420ba42d6d9864176a87c709af014034429 | [
"MIT"
] | null | null | null | armyguys/aws/route53/hostedzone.py | jtpaasch/armyguys | 4f138420ba42d6d9864176a87c709af014034429 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Utilities for working with Route 53 hosted zones."""
from . import client as boto3client
def get(profile, dns_name=None):
"""Get all hosted zones, or a specific one.
Args:
profile
A profile to connect to AWS with.
dns_name
The DNS name of... | 22.310345 | 58 | 0.616692 |
cd0815d5f829785674ad59a81aed55fef4c26e1a | 494 | py | Python | noscrapy/app/application.py | hwms/noscrapy | c7ccdb0f842eaa482c08b0932901c8a0a283f754 | [
"MIT"
] | 3 | 2017-05-04T03:25:16.000Z | 2017-12-24T10:08:17.000Z | noscrapy/app/application.py | hwms/noscrapy | c7ccdb0f842eaa482c08b0932901c8a0a283f754 | [
"MIT"
] | null | null | null | noscrapy/app/application.py | hwms/noscrapy | c7ccdb0f842eaa482c08b0932901c8a0a283f754 | [
"MIT"
] | null | null | null | from flask import Flask
from flask_appconfig import AppConfig
from flask_bootstrap import Bootstrap
from flask_debug import Debug
from .frontend.controllers import frontend
from .nav.controllers import nav
def create_app(configfile=None):
app = Flask(__name__)
# app.config.from_object('noscrapy.app.config')
... | 24.7 | 51 | 0.761134 |
168fd67aef2109a2b98551bc6d1597e2587a898a | 4,345 | py | Python | maml_rl/episode.py | Guitaricet/pytorch-maml-rl | 66352b35221d4c0b0e218d5876b31352e13c6cb7 | [
"MIT"
] | null | null | null | maml_rl/episode.py | Guitaricet/pytorch-maml-rl | 66352b35221d4c0b0e218d5876b31352e13c6cb7 | [
"MIT"
] | null | null | null | maml_rl/episode.py | Guitaricet/pytorch-maml-rl | 66352b35221d4c0b0e218d5876b31352e13c6cb7 | [
"MIT"
] | null | null | null | import numpy as np
import torch
import torch.nn.functional as F
class BatchEpisodes(object):
def __init__(self, batch_size, gamma=0.95, device='cpu'):
self.batch_size = batch_size
self.gamma = gamma
self.device = device
self._observations_list = [[] for _ in range(batch_size)]
... | 40.231481 | 87 | 0.596087 |
edb16ccc2200dcb5287665aca80948e72119cee0 | 104 | py | Python | torchOnVideo/tracking/towards_realtime_mot/EvaluateModel.py | torchOnVideo/torchOnVideo | aa07d5661f772eca027ecc6b79e14bd68a515aa1 | [
"MIT"
] | 2 | 2021-03-19T08:05:06.000Z | 2021-05-22T21:54:10.000Z | torchOnVideo/tracking/towards_realtime_mot/EvaluateModel.py | torchOnVideo/torchOnVideo | aa07d5661f772eca027ecc6b79e14bd68a515aa1 | [
"MIT"
] | null | null | null | torchOnVideo/tracking/towards_realtime_mot/EvaluateModel.py | torchOnVideo/torchOnVideo | aa07d5661f772eca027ecc6b79e14bd68a515aa1 | [
"MIT"
] | null | null | null | from ..towards_realtime_mot import towards_realtime_mot
class EvaluateModel( real_time_mot ):
pass
| 20.8 | 55 | 0.817308 |
a7942734c6e53ca446434b9d1a5aa02ef9c9b312 | 1,907 | py | Python | geotrek/common/tests/test_conf.py | Cynthia-Borot-PNE/Geotrek-admin | abd9ca8569a7e35ef7473f5b52731b1c78668754 | [
"BSD-2-Clause"
] | null | null | null | geotrek/common/tests/test_conf.py | Cynthia-Borot-PNE/Geotrek-admin | abd9ca8569a7e35ef7473f5b52731b1c78668754 | [
"BSD-2-Clause"
] | null | null | null | geotrek/common/tests/test_conf.py | Cynthia-Borot-PNE/Geotrek-admin | abd9ca8569a7e35ef7473f5b52731b1c78668754 | [
"BSD-2-Clause"
] | null | null | null | # -*- encoding: utf-8 -*-
import os
from django.core.exceptions import ImproperlyConfigured
from django.test import TestCase
from geotrek.common.utils.signals import check_srid_has_meter_unit
from geotrek.settings import EnvIniReader
class StartupCheckTest(TestCase):
def test_error_is_raised_if_srid_is_not_mete... | 37.392157 | 96 | 0.682748 |
7239ff915c1ff6b3374b5af90f59e143a6340c16 | 150 | py | Python | argument/__init__.py | LiHe96/AirCombateRL | ed2f7416485a183f27cb85b602dd1f41ad455b74 | [
"MIT"
] | 9 | 2019-11-25T11:19:02.000Z | 2021-10-20T12:23:11.000Z | argument/__init__.py | LiHe96/AirCombateRL | ed2f7416485a183f27cb85b602dd1f41ad455b74 | [
"MIT"
] | 2 | 2020-11-02T07:06:03.000Z | 2021-01-18T03:51:30.000Z | argument/__init__.py | LiHe96/AirCombateRL | ed2f7416485a183f27cb85b602dd1f41ad455b74 | [
"MIT"
] | 11 | 2019-11-28T14:04:29.000Z | 2022-03-30T09:04:41.000Z | # import argparse
# from argument.dqnArgs import *
# from argument.pgArgs import *
# import os
# import pprint
# parser = argparse.ArgumentParser()
| 16.666667 | 36 | 0.74 |
8c5c87e011b90ec4058fa42d7f9749e2c85747bc | 771 | py | Python | mundo3/D87.py | KayanOkagawa/Cursoemvideo-Python3-Exercicios | 10c8386102cc0928f8f090070eb3218deb3d60fe | [
"MIT"
] | null | null | null | mundo3/D87.py | KayanOkagawa/Cursoemvideo-Python3-Exercicios | 10c8386102cc0928f8f090070eb3218deb3d60fe | [
"MIT"
] | null | null | null | mundo3/D87.py | KayanOkagawa/Cursoemvideo-Python3-Exercicios | 10c8386102cc0928f8f090070eb3218deb3d60fe | [
"MIT"
] | null | null | null | titulo = '\033[01;33m'
txt = '\033[33m'
nada = '\033[m'
somapar = 0
somacoluna = 0
matriz = [[], [], [], [], [], [], [], [], []]
print(f'\n{titulo:-<17} Criando uma Matriz 2.0 {nada:->12}')
for count in range(0,9):
num = int(input(f'\n{txt}Digite um número: {nada}'))
matriz[count].append(num)
if num % 2 =... | 24.09375 | 60 | 0.54345 |
cfe6ca119c55a7f908a5a248f53a6653724f52fb | 864 | py | Python | gilded_rose.py | ransaked1/GildedRosePython | 135b5790fa55470955e311a09a3bbcd6731a4c41 | [
"MIT"
] | 1 | 2022-03-01T21:34:08.000Z | 2022-03-01T21:34:08.000Z | gilded_rose.py | ransaked1/GildedRosePython | 135b5790fa55470955e311a09a3bbcd6731a4c41 | [
"MIT"
] | null | null | null | gilded_rose.py | ransaked1/GildedRosePython | 135b5790fa55470955e311a09a3bbcd6731a4c41 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import pytest
from processing import *
class GildedRose(object):
def __init__(self, items):
self.items = items
def update_quality(self):
for item in self.items:
update_item(item)
def update_item(item):
process_standard(item)
if itemIsConjuredChec... | 22.736842 | 69 | 0.648148 |
56e377d227a8f17a707f24a4edd3536a7a00ee9e | 3,452 | py | Python | pull_pga.py | m0n5terSi/PGALiveLeaderboard | a8c69ba41b8a96502628138aad416441fda4c667 | [
"MIT"
] | null | null | null | pull_pga.py | m0n5terSi/PGALiveLeaderboard | a8c69ba41b8a96502628138aad416441fda4c667 | [
"MIT"
] | null | null | null | pull_pga.py | m0n5terSi/PGALiveLeaderboard | a8c69ba41b8a96502628138aad416441fda4c667 | [
"MIT"
] | null | null | null | import requests
from bs4 import BeautifulSoup
import json
def get_players(soup, player_col, score_col, thru_col):
rows = soup.find_all("tr", class_="Table__TR Table__even")
players = {}
for row in rows[1:]:
print(row.text)
cols = row.find_all("td")
# If we get a bad row. For example... | 31.669725 | 107 | 0.597335 |
407ce8e16ea140313891389455fb7f806e97e3d7 | 11,547 | py | Python | executor/tests/utils_tests/test_controller.py | Reed-CompBio/GrapheryExecutor | 5692a06c9f4322fd2c6233eac487c653d2fd558f | [
"MIT"
] | null | null | null | executor/tests/utils_tests/test_controller.py | Reed-CompBio/GrapheryExecutor | 5692a06c9f4322fd2c6233eac487c653d2fd558f | [
"MIT"
] | null | null | null | executor/tests/utils_tests/test_controller.py | Reed-CompBio/GrapheryExecutor | 5692a06c9f4322fd2c6233eac487c653d2fd558f | [
"MIT"
] | null | null | null | import io
from contextlib import redirect_stdout
from copy import deepcopy
from logging import getLogger
from operator import eq
from textwrap import dedent
from typing import Type, Callable, List
import pytest
from platform import platform
from ...settings import DefaultVars, SERVER_VERSION
from ...settings.variable... | 29.531969 | 113 | 0.469992 |
e52c46040e7d4dd63de1771b3e8f4ed5b1d11a7f | 2,845 | py | Python | sdk/python/pulumi_azure_native/web/v20210201/list_web_app_sync_function_triggers_slot.py | polivbr/pulumi-azure-native | 09571f3bf6bdc4f3621aabefd1ba6c0d4ecfb0e7 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/web/v20210201/list_web_app_sync_function_triggers_slot.py | polivbr/pulumi-azure-native | 09571f3bf6bdc4f3621aabefd1ba6c0d4ecfb0e7 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/web/v20210201/list_web_app_sync_function_triggers_slot.py | polivbr/pulumi-azure-native | 09571f3bf6bdc4f3621aabefd1ba6c0d4ecfb0e7 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
__... | 34.695122 | 173 | 0.663972 |
31441685a195e53ec70fd946b669dbceea219ded | 3,841 | py | Python | services/postgres/postgres.py | PXMYH/mls-scrapy | 57a102fd8f70a3a2251d8a15cfebcd60d1af0c44 | [
"MIT"
] | 1 | 2020-01-03T17:35:29.000Z | 2020-01-03T17:35:29.000Z | services/postgres/postgres.py | PXMYH/mls-scrapy | 57a102fd8f70a3a2251d8a15cfebcd60d1af0c44 | [
"MIT"
] | 167 | 2018-10-20T15:51:04.000Z | 2021-06-25T15:18:54.000Z | services/postgres/postgres.py | PXMYH/mls-scrapy | 57a102fd8f70a3a2251d8a15cfebcd60d1af0c44 | [
"MIT"
] | 3 | 2019-04-23T15:16:17.000Z | 2019-10-29T01:43:28.000Z | import os
import sys
import datetime
from sqlalchemy import Column, Integer, String, DateTime, BigInteger, SmallInteger
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
# db_info = "postgres://po... | 32.277311 | 94 | 0.667795 |
9ad7d0be97d29d9e24e788b925b4f6f55550c1e1 | 1,228 | py | Python | xnmt/xnmt_decode.py | neulab/xnmt | d93f8f3710f986f36eb54e9ff3976a6b683da2a4 | [
"Apache-2.0"
] | 195 | 2017-05-27T11:23:40.000Z | 2021-09-28T06:03:24.000Z | xnmt/xnmt_decode.py | neulab/xnmt | d93f8f3710f986f36eb54e9ff3976a6b683da2a4 | [
"Apache-2.0"
] | 386 | 2017-05-25T23:22:19.000Z | 2020-05-03T13:57:28.000Z | xnmt/xnmt_decode.py | neulab/xnmt | d93f8f3710f986f36eb54e9ff3976a6b683da2a4 | [
"Apache-2.0"
] | 53 | 2017-05-23T17:45:18.000Z | 2021-04-18T12:36:37.000Z | import argparse, os, sys
from xnmt.eval import tasks
from xnmt import param_collections, utils
from xnmt.persistence import LoadSerialized, YamlPreloader, initialize_if_needed
def main() -> None:
parser = argparse.ArgumentParser()
utils.add_backend_argparse(parser)
parser.add_argument("--src", help=f"Path of so... | 36.117647 | 102 | 0.772801 |
d2608c0516ebcbebe23c2f2d1b02297f74c1be16 | 8,972 | py | Python | pyramid_describe/renderer/wadl.py | cadithealth/pyramid_describe | 7b4abd15738dc3afbe67bd2f968bcf6bab66def2 | [
"MIT"
] | 3 | 2015-03-11T22:43:02.000Z | 2016-06-09T09:58:41.000Z | pyramid_describe/renderer/wadl.py | cadithealth/pyramid_describe | 7b4abd15738dc3afbe67bd2f968bcf6bab66def2 | [
"MIT"
] | 1 | 2015-10-13T20:49:09.000Z | 2015-10-16T03:09:20.000Z | pyramid_describe/renderer/wadl.py | cadithealth/pyramid_describe | 7b4abd15738dc3afbe67bd2f968bcf6bab66def2 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#------------------------------------------------------------------------------
# file: $Id$
# auth: Philip J Grabner <grabner@cadit.com>
# date: 2016/01/03
# copy: (C) Copyright 2016-EOT Cadit Inc., All Rights Reserved.
#--------------------------------------------------------------------------... | 33.856604 | 92 | 0.557401 |
2623748c2f4e2abdb428fe1ebcbefb6d2cd6627d | 1,027 | py | Python | scores/data.py | jrandson/Testes-python | 84ed20e309d6921015325e70cf80d173145f29fb | [
"MIT"
] | null | null | null | scores/data.py | jrandson/Testes-python | 84ed20e309d6921015325e70cf80d173145f29fb | [
"MIT"
] | null | null | null | scores/data.py | jrandson/Testes-python | 84ed20e309d6921015325e70cf80d173145f29fb | [
"MIT"
] | null | null | null | def get_scores():
file = open('dados.txt','r')
lista = []
for line in file:
if len(line.rstrip()) > 0:
lista.append(line.rstrip())
dados_brutos = [(lista[i],lista[i+1]) for i in range(0,len(lista)-1,2)]
scores = {}
for data in dados_brutos:
scores[data[0]] = str_to_float(data[1])
return scores
def ... | 19.018519 | 72 | 0.663096 |
70e4f48d02f7da28350b8bb7bd863a1b3c7c9868 | 589 | py | Python | sciQt/tests/test_dict_widgets.py | robertfasano/sciQt | 37ba04b0dc9ebfa030f2d61e87236d7219c9e794 | [
"MIT"
] | null | null | null | sciQt/tests/test_dict_widgets.py | robertfasano/sciQt | 37ba04b0dc9ebfa030f2d61e87236d7219c9e794 | [
"MIT"
] | null | null | null | sciQt/tests/test_dict_widgets.py | robertfasano/sciQt | 37ba04b0dc9ebfa030f2d61e87236d7219c9e794 | [
"MIT"
] | null | null | null | from sciQt import DictTable, DictTree
import numpy as np
def test_dicttable_set_parameters(qtbot):
set_params = {'a': np.random.uniform(), 'b': np.random.uniform()}
table = DictTable(set_params)
params = table.get_parameters()
for key in params:
assert params[key] == set_params[key]
def test_d... | 32.722222 | 75 | 0.657046 |
d5a9061d81a85019e3c1f35ae705a9ae7adf700c | 695 | py | Python | main/urls.py | imranhassan87/Amazon-Reviews-Analyzer | c9b0b330b302d8c30266d1383baa5abef1830d1a | [
"MIT"
] | null | null | null | main/urls.py | imranhassan87/Amazon-Reviews-Analyzer | c9b0b330b302d8c30266d1383baa5abef1830d1a | [
"MIT"
] | null | null | null | main/urls.py | imranhassan87/Amazon-Reviews-Analyzer | c9b0b330b302d8c30266d1383baa5abef1830d1a | [
"MIT"
] | null | null | null | from django.conf import settings
from django.conf.urls import static
from django.urls import re_path, path
from django.views.generic import TemplateView
from main import views
urlpatterns = [
re_path(r'^$', TemplateView.as_view(template_name='index.html'), name='home'),
re_path(r'^api/crawl/', views.crawl, na... | 36.578947 | 89 | 0.735252 |
2246c819673109bb52aa5fad870243f96b9a6a98 | 1,891 | py | Python | data_structures/binary_heap.py | vadymshturkhal/algorithms | 7eb6b3b0b8d389fdbbcc9ff48712d398f04c343d | [
"MIT"
] | null | null | null | data_structures/binary_heap.py | vadymshturkhal/algorithms | 7eb6b3b0b8d389fdbbcc9ff48712d398f04c343d | [
"MIT"
] | null | null | null | data_structures/binary_heap.py | vadymshturkhal/algorithms | 7eb6b3b0b8d389fdbbcc9ff48712d398f04c343d | [
"MIT"
] | null | null | null | from typing import Any, Union
class BinaryHeap:
def __init__(self, return_max=False):
self.__items = []
self.__return_max = return_max
def insert(self, item: Any) -> None:
self.__items.append(item)
self.__swim(len(self.__items) - 1)
def del_element(self) -> Union[Any, Non... | 23.936709 | 77 | 0.487044 |
d108bbf4a03b5286fed85b6312b91aef42da363e | 10,228 | py | Python | scripts/processors/ProminenceLabeller.py | arnacadia/Oscar | 469b26495d46bcca604884d9b0347a29ad3bd572 | [
"Apache-2.0"
] | 63 | 2017-08-23T08:19:01.000Z | 2021-09-06T12:31:25.000Z | scripts/processors/ProminenceLabeller.py | arnacadia/Oscar | 469b26495d46bcca604884d9b0347a29ad3bd572 | [
"Apache-2.0"
] | 25 | 2017-08-24T13:18:50.000Z | 2022-03-16T07:07:22.000Z | scripts/processors/ProminenceLabeller.py | arnacadia/Oscar | 469b26495d46bcca604884d9b0347a29ad3bd572 | [
"Apache-2.0"
] | 30 | 2017-08-25T08:07:36.000Z | 2022-03-12T15:37:56.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import numpy as np
import os.path
from UtteranceProcessor import *
from scipy import signal
from collections import OrderedDict, defaultdict
import util.acoustic_feats as ac
import util.Wavelets as cwt
import util.cwt_utils
from naive.naive_util import config_list as... | 35.762238 | 108 | 0.561205 |
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