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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4e6e72000b2d87a52287a3d60e9d9252edaceccb | 596 | py | Python | mariadb_kernel/maria_magics/cell_magic.py | robertbindar/mariadb_kernel-1 | 22a58dd0e4d2fbb687f0ed02415bd5278d3ed046 | [
"BSD-3-Clause"
] | null | null | null | mariadb_kernel/maria_magics/cell_magic.py | robertbindar/mariadb_kernel-1 | 22a58dd0e4d2fbb687f0ed02415bd5278d3ed046 | [
"BSD-3-Clause"
] | null | null | null | mariadb_kernel/maria_magics/cell_magic.py | robertbindar/mariadb_kernel-1 | 22a58dd0e4d2fbb687f0ed02415bd5278d3ed046 | [
"BSD-3-Clause"
] | null | null | null | """The type representing a cell magic"""
"""
A cell magic is a shortcut a user can write into a notebook cell.
The cell magic is written under the form '%%magic' and in principle
it operates over the entire code of the cell it is written in, e.g.
------cell
%%magic_python
from matplotlib import pyplot
x = [1,2,3]
pri... | 22.923077 | 67 | 0.723154 | """The type representing a cell magic"""
"""
A cell magic is a shortcut a user can write into a notebook cell.
The cell magic is written under the form '%%magic' and in principle
it operates over the entire code of the cell it is written in, e.g.
------cell
%%magic_python
from matplotlib import pyplot
x = [1,2,3]
pri... | 0 | 0 | 0 | 49 | 0 | 0 | 0 | 41 | 46 |
97f5b54a5ee911478fc724d8d50db832a8bfc3df | 2,693 | py | Python | mergify_engine/debug.py | guits/mergify-engine | 5b97e2697e4743ff9e049b90246f9161359655be | [
"Apache-2.0"
] | null | null | null | mergify_engine/debug.py | guits/mergify-engine | 5b97e2697e4743ff9e049b90246f9161359655be | [
"Apache-2.0"
] | null | null | null | mergify_engine/debug.py | guits/mergify-engine | 5b97e2697e4743ff9e049b90246f9161359655be | [
"Apache-2.0"
] | null | null | null | # -*- encoding: utf-8 -*-
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, so... | 33.6625 | 75 | 0.65169 | # -*- encoding: utf-8 -*-
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, so... | 0 | 0 | 0 | 0 | 0 | 1,873 | 0 | 40 | 204 |
4f241b8800d6d477aa178396a5d9dccb53416289 | 3,610 | py | Python | src/plot_positions.py | pgleeson/Smoothed-Particle-Hydrodynamics | 5af5b68af8299a0076e27c2c0c90331d78de5ed2 | [
"MIT"
] | 1 | 2020-11-19T15:34:09.000Z | 2020-11-19T15:34:09.000Z | src/plot_positions.py | pgleeson/Smoothed-Particle-Hydrodynamics | 5af5b68af8299a0076e27c2c0c90331d78de5ed2 | [
"MIT"
] | null | null | null | src/plot_positions.py | pgleeson/Smoothed-Particle-Hydrodynamics | 5af5b68af8299a0076e27c2c0c90331d78de5ed2 | [
"MIT"
] | null | null | null | import sys
'''
Plot the positions from a saved Sibernetic position_buffer.txt file
'''
if __name__ == '__main__':
if len(sys.argv) == 2:
pos_file_name = sys.argv[1]
else:
pos_file_name = '../buffers/position_buffer.txt'
#pos_file_name = '../buffers/position_buffer0.txt'
... | 28.203125 | 125 | 0.531579 | import sys
'''
Plot the positions from a saved Sibernetic position_buffer.txt file
'''
def plot_positions(pos_file_name, rate_to_plot = 1):
postions_file = open(pos_file_name)
index = 0
xmin=-1
xmax=-1
ymin=-1
ymax=-1
zmin=-1
zmax=-1
import matplotlib.pyplot as plt
... | 0 | 0 | 0 | 0 | 0 | 2,975 | 0 | 0 | 22 |
4813a4524aa243806581235106f21817e676011b | 2,892 | py | Python | django_backend/operation/migrations/0001_initial.py | CapacitacionDesoft/travels-log | 9b70061ec6a9bde14c14b255498a04a85ecf642c | [
"MIT"
] | 2 | 2021-05-20T18:26:08.000Z | 2021-08-31T02:43:26.000Z | django_backend/operation/migrations/0001_initial.py | CapacitacionDesoft/travels-log | 9b70061ec6a9bde14c14b255498a04a85ecf642c | [
"MIT"
] | null | null | null | django_backend/operation/migrations/0001_initial.py | CapacitacionDesoft/travels-log | 9b70061ec6a9bde14c14b255498a04a85ecf642c | [
"MIT"
] | null | null | null | # Generated by Django 3.2.3 on 2021-05-24 03:26
import django.db.models.deletion
| 49.016949 | 201 | 0.603734 | # Generated by Django 3.2.3 on 2021-05-24 03:26
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
initial = True
dependencies = [
('fleet', '0001_initial'),
]
operations = [
migrations.Creat... | 0 | 0 | 0 | 2,716 | 0 | 0 | 0 | 26 | 68 |
343a8a8fbf0511dae08552337e415317ecb1a227 | 1,670 | py | Python | portal/apps/dashboard/management/commands/content.py | Artis-Physis/utopia-cms | 5cb8d941d0b2df53fddc566a52e9d3baee4a007e | [
"BSD-3-Clause"
] | 8 | 2020-12-15T17:11:08.000Z | 2021-12-13T22:08:33.000Z | portal/apps/dashboard/management/commands/content.py | Artis-Physis/utopia-cms | 5cb8d941d0b2df53fddc566a52e9d3baee4a007e | [
"BSD-3-Clause"
] | 28 | 2020-12-15T17:34:03.000Z | 2022-02-01T04:09:10.000Z | portal/apps/dashboard/management/commands/content.py | Artis-Physis/utopia-cms | 5cb8d941d0b2df53fddc566a52e9d3baee4a007e | [
"BSD-3-Clause"
] | 7 | 2020-12-15T19:59:17.000Z | 2021-11-24T16:47:06.000Z | # -*- coding: utf-8 -*-
| 37.111111 | 108 | 0.678443 | # -*- coding: utf-8 -*-
from os.path import join
from unicodecsv import writer
from progress.bar import Bar
from optparse import make_option
from django.conf import settings
from django.core.management.base import BaseCommand
from core.models import Article
def generate_report(year, progress):
articles = Articl... | 0 | 0 | 0 | 457 | 0 | 905 | 0 | 80 | 202 |
1b88aab585798cf1d4b025cb86ca7128e492b2ae | 2,560 | py | Python | cowbird/services/service_factory.py | Ouranosinc/cowbird | 108195ca6abbd58fd75b180f6fa7d40eab0f8ea5 | [
"MIT"
] | 1 | 2021-02-04T18:56:36.000Z | 2021-02-04T18:56:36.000Z | cowbird/services/service_factory.py | Ouranosinc/cowbird | 108195ca6abbd58fd75b180f6fa7d40eab0f8ea5 | [
"MIT"
] | 12 | 2021-02-05T22:01:10.000Z | 2022-03-09T14:23:10.000Z | cowbird/services/service_factory.py | Ouranosinc/cowbird | 108195ca6abbd58fd75b180f6fa7d40eab0f8ea5 | [
"MIT"
] | null | null | null | from typing import TYPE_CHECKING
from cowbird.utils import get_logger
if TYPE_CHECKING:
LOGGER = get_logger(__name__)
VALID_SERVICES = ["Catalog", "Geoserver", "Magpie", "Nginx", "Thredds",
"FileSystem"]
| 38.208955 | 120 | 0.597656 | import importlib
from typing import TYPE_CHECKING
from cowbird.config import get_all_configs
from cowbird.utils import SingletonMeta, get_config_path, get_logger, get_settings
if TYPE_CHECKING:
from typing import List
from cowbird.services.service import Service
LOGGER = get_logger(__name__)
VALID_SERVICES... | 0 | 0 | 0 | 2,126 | 0 | 0 | 0 | 87 | 121 |
8e1272b327a1e5891533cfb82cc23fbfe3fd61da | 3,739 | py | Python | ven2/lib/python2.7/site-packages/zope/i18n/gettextmessagecatalog.py | manliu1225/Facebook_crawler | 0f75a1c4382dd4effc3178d84b99b0cad97337cd | [
"Apache-2.0"
] | 1 | 2021-09-15T20:22:39.000Z | 2021-09-15T20:22:39.000Z | ven2/lib/python2.7/site-packages/zope/i18n/gettextmessagecatalog.py | manliu1225/Facebook_crawler | 0f75a1c4382dd4effc3178d84b99b0cad97337cd | [
"Apache-2.0"
] | 43 | 2015-01-28T21:04:24.000Z | 2021-12-09T07:33:35.000Z | ven2/lib/python2.7/site-packages/zope/i18n/gettextmessagecatalog.py | manliu1225/Facebook_crawler | 0f75a1c4382dd4effc3178d84b99b0cad97337cd | [
"Apache-2.0"
] | 7 | 2015-04-03T09:00:54.000Z | 2020-05-14T14:16:25.000Z | ##############################################################################
#
# Copyright (c) 2001, 2002 Zope Foundation and Contributors.
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# TH... | 33.383929 | 78 | 0.632522 | ##############################################################################
#
# Copyright (c) 2001, 2002 Zope Foundation and Contributors.
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# TH... | 0 | 2,224 | 0 | 212 | 0 | 0 | 0 | 70 | 161 |
8d0df3b9f9fb0c2e9a054a797ceb02f0c01dd3a7 | 6,968 | py | Python | demo/inference_demo_pod.py | JarvisUSTC/DARDet | debbf476e9750030db67f030a40cf8d4f03e46ee | [
"Apache-2.0"
] | null | null | null | demo/inference_demo_pod.py | JarvisUSTC/DARDet | debbf476e9750030db67f030a40cf8d4f03e46ee | [
"Apache-2.0"
] | null | null | null | demo/inference_demo_pod.py | JarvisUSTC/DARDet | debbf476e9750030db67f030a40cf8d4f03e46ee | [
"Apache-2.0"
] | null | null | null | from mmdet.apis import init_detector, inference_detector
import cv2
import numpy as np
import os
import time
import threading
import tqdm
def read_image(file_name, format=None, package="PIL"):
"""
Read an image into the given format.
Will apply rotation and flipping if the image has such exif information.
... | 35.55102 | 150 | 0.568886 | from mmdet.apis import init_detector, inference_detector, show_result_pyplot
import mmcv
import argparse
import cv2
import numpy as np
import os
import time
import threading
import tqdm
def get_parser():
parser = argparse.ArgumentParser(description="MMDetection demo for builtin models")
parser.add_argument(
... | 0 | 0 | 0 | 0 | 0 | 1,348 | 0 | 4 | 90 |
45b3f4d2f01baf34114eb55c6515bb1045fbc517 | 58 | py | Python | tests/io/__init__.py | libxd/libxd | aa0564bd8f0d81ba0f6f98af51e978b374cb8e9a | [
"MIT"
] | null | null | null | tests/io/__init__.py | libxd/libxd | aa0564bd8f0d81ba0f6f98af51e978b374cb8e9a | [
"MIT"
] | null | null | null | tests/io/__init__.py | libxd/libxd | aa0564bd8f0d81ba0f6f98af51e978b374cb8e9a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Created by libxd on 17-2-5.
#
| 11.6 | 29 | 0.517241 | # -*- coding: utf-8 -*-
#
# Created by libxd on 17-2-5.
#
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0da49d5703a776e44119823aed60c1a085356f62 | 902 | py | Python | cvat/apps/stats/views.py | prismai/cvat | 72e7b35bf3238077b8f48bc0de8a67df3672486a | [
"MIT"
] | null | null | null | cvat/apps/stats/views.py | prismai/cvat | 72e7b35bf3238077b8f48bc0de8a67df3672486a | [
"MIT"
] | 18 | 2018-11-08T14:02:04.000Z | 2019-10-24T07:22:13.000Z | cvat/apps/stats/views.py | prismai/cvat | 72e7b35bf3238077b8f48bc0de8a67df3672486a | [
"MIT"
] | 1 | 2019-06-19T15:58:19.000Z | 2019-06-19T15:58:19.000Z | from django.contrib.auth import get_user_model
User = get_user_model()
| 25.055556 | 77 | 0.749446 | from django.http import JsonResponse, HttpResponse
from django.shortcuts import render
from django.contrib.auth import get_user_model
from cvat.apps.authentication.decorators import login_required
from cvat.apps.stats.services import collect_annotators_stats, save_job_stats
User = get_user_model()
@login_required
... | 0 | 528 | 0 | 0 | 0 | 0 | 0 | 140 | 158 |
d293a2b70a3abdba139320bda897658514f9dc5d | 67,542 | py | Python | qmla/model_for_learning.py | flynnbr11/QMD | ac8cfe1603658ee9b916452f29b99460ee5e3d44 | [
"MIT"
] | 9 | 2021-01-08T12:49:01.000Z | 2021-12-29T06:59:32.000Z | qmla/model_for_learning.py | flynnbr11/QMD | ac8cfe1603658ee9b916452f29b99460ee5e3d44 | [
"MIT"
] | 2 | 2021-02-22T20:42:25.000Z | 2021-02-22T22:22:59.000Z | qmla/model_for_learning.py | flynnbr11/QMD | ac8cfe1603658ee9b916452f29b99460ee5e3d44 | [
"MIT"
] | 9 | 2021-02-15T14:18:48.000Z | 2021-12-17T04:02:07.000Z | import pickle
try:
from lfig import LatexFigure
except:
import qmla.redis_settings
import qmla.logging
import qmla.get_exploration_strategy
import qmla.shared_functionality.prior_distributions
import qmla.model_building_utilities
import qmla.analysis
pickle.HIGHEST_PROTOCOL = 4
__all__ = [
"... | 39.567663 | 122 | 0.567573 | import numpy as np
import os
import sys
import time
import copy
import scipy
import random
import logging
import pandas as pd
import qinfer as qi
import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec
import seaborn as sns
import redis
import pickle
try:
from lfig import LatexF... | 0 | 0 | 0 | 66,803 | 0 | 0 | 0 | -13 | 399 |
a955cad44f733d05a08adefbb524ef5877bf5e8f | 1,052 | py | Python | OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/raw/GL/ARB/blend_func_extended.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/raw/GL/ARB/blend_func_extended.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/raw/GL/ARB/blend_func_extended.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | '''Autogenerated by xml_generate script, do not edit!'''
# Code generation uses this
# End users want this...
from OpenGL.constant import Constant as _C
_EXTENSION_NAME = 'GL_ARB_blend_func_extended'
GL_MAX_DUAL_SOURCE_DRAW_BUFFERS=_C('GL_MAX_DUAL_SOURCE_DRAW_BUFFERS',0x88FC)
GL_ONE_MINUS_SRC1_ALPHA=_C('GL_ONE_MI... | 42.08 | 121 | 0.807985 | '''Autogenerated by xml_generate script, do not edit!'''
from OpenGL import platform as _p, arrays
# Code generation uses this
from OpenGL.raw.GL import _types as _cs
# End users want this...
from OpenGL.raw.GL._types import *
from OpenGL.raw.GL import _errors
from OpenGL.constant import Constant as _C
import... | 0 | 200 | 0 | 0 | 0 | 120 | 0 | 55 | 186 |
0ef9235a1f32dcb8ee6c05aaa20c8c69efd9fed4 | 2,520 | py | Python | nnet/libs/metric.py | spacekcraft/conv-tasnet | 0c2e65a977b0f5e8c6f5b07b343bf3d5474de684 | [
"MIT"
] | null | null | null | nnet/libs/metric.py | spacekcraft/conv-tasnet | 0c2e65a977b0f5e8c6f5b07b343bf3d5474de684 | [
"MIT"
] | null | null | null | nnet/libs/metric.py | spacekcraft/conv-tasnet | 0c2e65a977b0f5e8c6f5b07b343bf3d5474de684 | [
"MIT"
] | null | null | null | # wujian@2018
"""
SI-SNR(scale-invariant SNR/SDR) measure of speech separation
"""
import numpy as np
from itertools import permutations
def si_snr(x, s, remove_dc=True):
"""
Compute SI-SNR
Arguments:
x: vector, enhanced/separated signal
s: vector, reference signal(ground truth)
"""
... | 28.965517 | 81 | 0.598016 | # wujian@2018
"""
SI-SNR(scale-invariant SNR/SDR) measure of speech separation
"""
import numpy as np
from itertools import permutations
import pdb
def si_snr(x, s, remove_dc=True):
"""
Compute SI-SNR
Arguments:
x: vector, enhanced/separated signal
s: vector, reference signal(ground trut... | 0 | 0 | 0 | 0 | 0 | 205 | 0 | -11 | 104 |
dbef2f786e6e0f785cc9e3585126f9ad3cbd71d1 | 1,229 | py | Python | polynomials/least_squares.py | Zettergren-Courses/EP501_python | dabaa584e5158eb35197a43f38920a9ed7cc02b8 | [
"MIT"
] | null | null | null | polynomials/least_squares.py | Zettergren-Courses/EP501_python | dabaa584e5158eb35197a43f38920a9ed7cc02b8 | [
"MIT"
] | 1 | 2020-10-06T13:29:01.000Z | 2020-10-06T13:29:01.000Z | polynomials/least_squares.py | Zettergren-Courses/EP501_python | dabaa584e5158eb35197a43f38920a9ed7cc02b8 | [
"MIT"
] | 6 | 2020-09-01T10:35:59.000Z | 2020-09-18T10:12:59.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Oct 15 07:53:36 2020
Illustrates linear least squares fitting of data
@author: zettergm
"""
# Imports
import numpy as np
import matplotlib.pyplot as plt
import sys
sys.path.append("../linear_algebra")
from elimtools import Gauss_elim, backsub
# Grid ... | 24.58 | 81 | 0.716843 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Oct 15 07:53:36 2020
Illustrates linear least squares fitting of data
@author: zettergm
"""
# Imports
import numpy as np
import matplotlib.pyplot as plt
import sys
sys.path.append("../linear_algebra")
from elimtools import Gauss_elim,backsub
# Grid a... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -1 | 0 |
67c1f4ffaf915212bca4b400d8e95c751ada381f | 2,283 | py | Python | notepath/basics.py | hhfernald/notepath | 74f8fe118e58569a263a8f75e54a6c841c20a40a | [
"MIT"
] | null | null | null | notepath/basics.py | hhfernald/notepath | 74f8fe118e58569a263a8f75e54a6c841c20a40a | [
"MIT"
] | null | null | null | notepath/basics.py | hhfernald/notepath | 74f8fe118e58569a263a8f75e54a6c841c20a40a | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# The function annotations in this module require Python 3.5 or higher.
from typing import List
# Type aliases
FilePath = str
NotePath = str
SQLSelectStatement = str
def sort_notepaths(notepaths: List[NotePath]) -> List[NotePath]:
'''Sort notepaths so that parents and children are never se... | 34.590909 | 74 | 0.663163 | #!/usr/bin/env python3
# The function annotations in this module require Python 3.5 or higher.
import os
import textwrap
from itertools import chain
from typing import Dict, List, Union
# Type aliases
FilePath = str
NotePath = str
SQLSelectStatement = str
def get_data_path(filename: str) -> FilePath:
path = os... | 0 | 0 | 0 | 503 | 0 | 142 | 0 | 1 | 114 |
2d06b98fb7350ab1fec6bb7a3a4eb2742f918919 | 115 | py | Python | ex016.py | rodrigosilvanew/pythonexercicios-guanabara | de9de3109d6ff97d5f61ef41cb8e9db6de37a644 | [
"MIT"
] | null | null | null | ex016.py | rodrigosilvanew/pythonexercicios-guanabara | de9de3109d6ff97d5f61ef41cb8e9db6de37a644 | [
"MIT"
] | null | null | null | ex016.py | rodrigosilvanew/pythonexercicios-guanabara | de9de3109d6ff97d5f61ef41cb8e9db6de37a644 | [
"MIT"
] | null | null | null | from math import trunc
num = float(input('Digite um nmero: '))
print('A poro inteira {}.'.format(trunc(num)))
| 28.75 | 50 | 0.695652 | from math import trunc
num = float(input('Digite um número: '))
print('A porção inteira é {}.'.format(trunc(num)))
| 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7417f6843abb33ec34b71e7c8663f72b004814e0 | 77 | py | Python | part_map/pins/__init__.py | jdpatt/bga_color_map | e807d33c74ba7d5dad859a2488858be23fd2bc6c | [
"MIT"
] | 2 | 2019-08-06T12:34:59.000Z | 2020-03-05T04:42:40.000Z | part_map/pins/__init__.py | jdpatt/bga_color_map | e807d33c74ba7d5dad859a2488858be23fd2bc6c | [
"MIT"
] | 11 | 2018-04-07T16:58:46.000Z | 2020-03-08T00:43:42.000Z | part_map/pins/__init__.py | jdpatt/part_map | e807d33c74ba7d5dad859a2488858be23fd2bc6c | [
"MIT"
] | null | null | null | """Graphic Elements for the Pins."""
from .pin import Pin
__all__ = ["Pin"]
| 15.4 | 36 | 0.662338 | """Graphic Elements for the Pins."""
from .pin import Pin
__all__ = ["Pin"]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9aab70b6c3ec0dd1c6c2a38128907b13f8d2c637 | 542 | py | Python | 0374. Guess Number Higher or Lower.py | ehjhihlo/LeetCode-practice | e1391fd4a3a81956fa6a03ee89a3a67e539b4608 | [
"MIT"
] | null | null | null | 0374. Guess Number Higher or Lower.py | ehjhihlo/LeetCode-practice | e1391fd4a3a81956fa6a03ee89a3a67e539b4608 | [
"MIT"
] | null | null | null | 0374. Guess Number Higher or Lower.py | ehjhihlo/LeetCode-practice | e1391fd4a3a81956fa6a03ee89a3a67e539b4608 | [
"MIT"
] | null | null | null | # The guess API is already defined for you.
# @param num, your guess
# @return -1 if num is higher than the picked number
# 1 if num is lower than the picked number
# otherwise return 0
# def guess(num: int) -> int:
| 30.111111 | 52 | 0.509225 | # The guess API is already defined for you.
# @param num, your guess
# @return -1 if num is higher than the picked number
# 1 if num is lower than the picked number
# otherwise return 0
# def guess(num: int) -> int:
class Solution:
def guessNumber(self, n: int) -> int:
left, right = 1, n
... | 0 | 0 | 0 | 286 | 0 | 0 | 0 | 0 | 22 |
573326354d69c893d7e6738e04e0098f7e14a007 | 9,946 | py | Python | celseq2/qc.py | Puriney/celseq2 | 0e9629562a6685516e6330c3e2615a997c8771b7 | [
"BSD-3-Clause"
] | null | null | null | celseq2/qc.py | Puriney/celseq2 | 0e9629562a6685516e6330c3e2615a997c8771b7 | [
"BSD-3-Clause"
] | null | null | null | celseq2/qc.py | Puriney/celseq2 | 0e9629562a6685516e6330c3e2615a997c8771b7 | [
"BSD-3-Clause"
] | 1 | 2020-03-29T05:00:12.000Z | 2020-03-29T05:00:12.000Z | #!/usr/bin/env python3
import numpy as np
import pandas as pd
from plotly import tools
from plotly.offline import plot
from celseq2.helper import print_logger, base_name, is_nonempty_file
def plotly_qc(fpath, saveto, sep=',', name=''):
'''
Generate a plotly html plot for QC of a scRNA-seq data.
QC inl... | 34.178694 | 105 | 0.605268 | #!/usr/bin/env python3
import argparse
import numpy as np
import pandas as pd
from plotly import tools
import plotly.graph_objs as go
from plotly.offline import plot
from celseq2.helper import print_logger, base_name, is_nonempty_file
def plotly_scatter(x, y, mask_by=None, hover_text=None,
xlab=''... | 0 | 0 | 0 | 0 | 0 | 5,193 | 0 | 3 | 136 |
ab720888effdb06a63def2bf9bdc808387aadbdc | 1,231 | py | Python | crackutils.py | mhearne-usgs/handcrypt | fd4aa0f89258d9a01cbcdd53f9cd03e19e6367ee | [
"MIT"
] | 2 | 2017-09-28T18:30:49.000Z | 2021-04-23T22:39:26.000Z | crackutils.py | mhearne-usgs/handcrypt | fd4aa0f89258d9a01cbcdd53f9cd03e19e6367ee | [
"MIT"
] | null | null | null | crackutils.py | mhearne-usgs/handcrypt | fd4aa0f89258d9a01cbcdd53f9cd03e19e6367ee | [
"MIT"
] | 1 | 2015-10-20T07:45:22.000Z | 2015-10-20T07:45:22.000Z | #!/usr/bin/env python
| 23.673077 | 75 | 0.506093 | #!/usr/bin/env python
from operator import itemgetter
def unique(inlist, keepstr=True):
typ = type(inlist)
if not typ == list:
inlist = list(inlist)
i = 0
while i < len(inlist):
try:
del inlist[inlist.index(inlist[i], i + 1)]
except:
i += 1
if not typ in (str, unicode):
inlist = ... | 0 | 0 | 0 | 0 | 0 | 1,088 | 0 | 10 | 92 |
0c1699fca650650c6fe9d778a8add812cb37331c | 1,763 | py | Python | google/dialogflow-python-client-master/examples/send_user_entities_example.py | sergioalberto/Chatbots | b0a1dc15771d834fca491a809047dd347fe8a0a3 | [
"Apache-2.0"
] | 1 | 2019-03-31T23:25:46.000Z | 2019-03-31T23:25:46.000Z | google/dialogflow-python-client-master/examples/send_user_entities_example.py | sergioalberto/Chatbots | b0a1dc15771d834fca491a809047dd347fe8a0a3 | [
"Apache-2.0"
] | null | null | null | google/dialogflow-python-client-master/examples/send_user_entities_example.py | sergioalberto/Chatbots | b0a1dc15771d834fca491a809047dd347fe8a0a3 | [
"Apache-2.0"
] | null | null | null | # -*- coding:utf8 -*-
# !/usr/bin/env python
# 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... | 26.313433 | 78 | 0.695406 | # -*- coding:utf8 -*-
# !/usr/bin/env python
# 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 | 0 | 0 | 0 | 0 | 811 | 0 | -19 | 72 |
40b964448415f608cae54c386242e8dc6ee16f70 | 3,402 | py | Python | test/positive_tests/test_buy_ticket.py | PetrovAndrii/training | 4273ffd688b58af5c277a84fc8c57ad4ff0add04 | [
"Apache-2.0"
] | null | null | null | test/positive_tests/test_buy_ticket.py | PetrovAndrii/training | 4273ffd688b58af5c277a84fc8c57ad4ff0add04 | [
"Apache-2.0"
] | null | null | null | test/positive_tests/test_buy_ticket.py | PetrovAndrii/training | 4273ffd688b58af5c277a84fc8c57ad4ff0add04 | [
"Apache-2.0"
] | null | null | null |
# app.group.pay(email_pay="uz.all.test@gmail.com")
# app.group.pay(email_pay="uz.all.test@gmail.com")
| 38.659091 | 99 | 0.719871 |
from model.group_stations import Stations
def test_buy_ticket_full(app, data_groups):
stations = data_groups
app.session.login(username="uz.all.test@gmail.com", password="P@ssw0rd")
app.group.search_train(stations)
app.group.choice_train()
app.group.choice_types()
app.group.choice_wagon()... | 252 | 0 | 0 | 0 | 0 | 2,977 | 0 | 20 | 161 |
54d981108147f9841374f25cc59fc6d8a3108345 | 32,715 | py | Python | robosuite/utils/mjcf_utils.py | spatric5/robosuite | 9e6b9691eb949fbf33a23fbe8a8c6faea61c50b6 | [
"MIT"
] | 397 | 2020-09-28T02:49:58.000Z | 2022-03-30T18:08:19.000Z | robosuite/utils/mjcf_utils.py | spatric5/robosuite | 9e6b9691eb949fbf33a23fbe8a8c6faea61c50b6 | [
"MIT"
] | 169 | 2020-09-28T02:17:59.000Z | 2022-03-29T13:32:43.000Z | robosuite/utils/mjcf_utils.py | spatric5/robosuite | 9e6b9691eb949fbf33a23fbe8a8c6faea61c50b6 | [
"MIT"
] | 131 | 2020-09-28T14:50:35.000Z | 2022-03-31T02:27:33.000Z | # utility functions for manipulating MJCF XML models
import xml.etree.ElementTree as ET
import os
import numpy as np
from collections.abc import Iterable
from copy import deepcopy
import robosuite
RED = [1, 0, 0, 1]
GREEN = [0, 1, 0, 1]
BLUE = [0, 0, 1, 1]
CYAN = [0, 1, 1, 1]
ROBOT_COLLISION_COLOR = [0, 0.5, 0, 1]
M... | 37.733564 | 119 | 0.63937 | # utility functions for manipulating MJCF XML models
import xml.etree.ElementTree as ET
import os
import numpy as np
from collections.abc import Iterable
from PIL import Image
from pathlib import Path
from copy import deepcopy
import robosuite
RED = [1, 0, 0, 1]
GREEN = [0, 1, 0, 1]
BLUE = [0, 0, 1, 1]
CYAN = [0, 1,... | 0 | 0 | 0 | 4,186 | 0 | 0 | 0 | 3 | 67 |
85879afa082ac336a1468ccfe1d39567d2b51921 | 3,247 | py | Python | app/sample_data.py | mazx4960/Notes-WebApp | 80725ce38a19a34e3818971073eae961280d26b3 | [
"MIT"
] | null | null | null | app/sample_data.py | mazx4960/Notes-WebApp | 80725ce38a19a34e3818971073eae961280d26b3 | [
"MIT"
] | 2 | 2020-06-23T15:26:32.000Z | 2021-06-02T00:16:55.000Z | app/sample_data.py | mazx4960/Notes-WebApp | 80725ce38a19a34e3818971073eae961280d26b3 | [
"MIT"
] | null | null | null | """
Notes Web App
Copyright (C) 2019 DesmondTan
"""
###########
# Imports #
###########
#############
# Functions #
#############
| 20.814103 | 90 | 0.544503 | """
Notes Web App
Copyright (C) 2019 DesmondTan
"""
###########
# Imports #
###########
from app.models import User, Followers, Notes, Folders, Notes_Permissions, Notes_tag, Tags
from datetime import datetime
from werkzeug.security import generate_password_hash
#############
# Functions #
#############
def add_s... | 0 | 0 | 0 | 0 | 0 | 2,889 | 0 | 108 | 114 |
1f214a235766454fd87a125aac936d0dadc566e3 | 1,383 | py | Python | src/teams/urls.py | GMNaim/Online-Project-Tracking-System | d727c6033c4abbacb5288179ee6ae5889a7a83a9 | [
"MIT"
] | null | null | null | src/teams/urls.py | GMNaim/Online-Project-Tracking-System | d727c6033c4abbacb5288179ee6ae5889a7a83a9 | [
"MIT"
] | null | null | null | src/teams/urls.py | GMNaim/Online-Project-Tracking-System | d727c6033c4abbacb5288179ee6ae5889a7a83a9 | [
"MIT"
] | null | null | null | from django.urls import path
from . import views
""" IF YOU CHANGE URL MUST CHANGE IN LIST PAGES"""
urlpatterns = [
path('list', views.team_list, name="team-list"),
path('add', views.team_add, name="team-add"),
path('update/<str:team_name>', views.team_update, name="team-update"),
# if you change url ... | 46.1 | 93 | 0.691974 | from django.urls import path
from . import views
""" IF YOU CHANGE URL MUST CHANGE IN LIST PAGES"""
urlpatterns = [
path('list', views.team_list, name="team-list"),
path('add', views.team_add, name="team-add"),
path('update/<str:team_name>', views.team_update, name="team-update"),
# if you change url ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7c42c8549db70d7e257f5776679da7df6555ffda | 17,132 | py | Python | amoeba_net/model_builder_slice.py | fanshiqing/DAPPLE | b2d2ceda90f6033b316f672ec05f45123234f130 | [
"BSD-3-Clause"
] | 50 | 2020-02-02T09:24:44.000Z | 2022-03-01T03:22:19.000Z | amoeba_net/model_builder_slice.py | fanshiqing/DAPPLE | b2d2ceda90f6033b316f672ec05f45123234f130 | [
"BSD-3-Clause"
] | 1 | 2020-02-04T03:50:02.000Z | 2020-02-04T04:41:37.000Z | amoeba_net/model_builder_slice.py | AlibabaPAI/DAPPLE | fd75dcfbc6c73a7624b9fd9d8c3334e5d04bcd20 | [
"BSD-3-Clause"
] | 9 | 2020-02-02T09:23:31.000Z | 2021-09-22T07:24:34.000Z | # Copyright 2018 The TensorFlow 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 applica... | 38.760181 | 95 | 0.664721 | # Copyright 2018 The TensorFlow 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 applica... | 0 | 0 | 0 | 0 | 0 | 4,758 | 0 | 17 | 159 |
d0f85aaec88bf5aaf186031cca1f414a962cf27f | 1,907 | py | Python | frontend/app/auth/views.py | Leparwa/idea_pitching_app | 645fa2e11887dd2f5d62d4cfec18da68f5e4eb52 | [
"MIT"
] | null | null | null | frontend/app/auth/views.py | Leparwa/idea_pitching_app | 645fa2e11887dd2f5d62d4cfec18da68f5e4eb52 | [
"MIT"
] | null | null | null | frontend/app/auth/views.py | Leparwa/idea_pitching_app | 645fa2e11887dd2f5d62d4cfec18da68f5e4eb52 | [
"MIT"
] | null | null | null | from .. import db
# login route
#logout user route
| 31.783333 | 105 | 0.705296 |
from flask import render_template,redirect,url_for, flash,request, session
from .forms import RegistrationForm, LoginForm
from flask_login import login_user, logout_user, login_required
from ..models import User
from .. import db
from app import login_manager
from . import auth
# login route
@auth.route('/login',... | 0 | 1,475 | 0 | 0 | 0 | 0 | 0 | 129 | 246 |
5ff4ee43792c2be33143e998473c52d1768590fc | 14,028 | py | Python | grouping/regression_grouping.py | fwmeng88/B3DB | 26f9c759dc6ec2963e61a74211577d0feb0007a3 | [
"CC0-1.0"
] | 13 | 2021-11-08T17:49:10.000Z | 2022-03-23T06:01:10.000Z | grouping/regression_grouping.py | fwmeng88/B3DB | 26f9c759dc6ec2963e61a74211577d0feb0007a3 | [
"CC0-1.0"
] | 3 | 2021-08-19T20:37:12.000Z | 2022-01-22T16:47:26.000Z | grouping/regression_grouping.py | fwmeng88/B3DB | 26f9c759dc6ec2963e61a74211577d0feb0007a3 | [
"CC0-1.0"
] | 11 | 2021-08-18T22:13:08.000Z | 2022-03-28T22:22:44.000Z | import pandas as pd
import numpy as np
from rdkit import Chem
df = pd.read_excel("../2_bbb_all_complete_CID_out_smiles_fixed_updated.xlsx")
df = df[~df["logBB"].isna()]
df["logBB"] = df["logBB"].astype(float)
# remove molecules with logBB <= -9
df = df[df["logBB"] > -9]
# a dictionary to host inchi keys and isomeri... | 43.565217 | 138 | 0.565868 | import pandas as pd
import numpy as np
from rdkit import Chem
from scipy import stats
import pubchempy as pcp
df = pd.read_excel("../2_bbb_all_complete_CID_out_smiles_fixed_updated.xlsx")
df = df[~df["logBB"].isna()]
df["logBB"] = df["logBB"].astype(float)
# remove molecules with logBB <= -9
df = df[df["logBB"] > -9... | 3 | 0 | 0 | 0 | 0 | 231 | 0 | 8 | 89 |
5579a3e7bea5de190a86ff1cad7a2ff029a8b9cc | 99,346 | py | Python | app/application.py | codelableidenvelux/agestudy | 8bc688c99f48e8b4c7acd4300c52bd705c1ac3c7 | [
"MIT"
] | 1 | 2020-06-11T07:33:02.000Z | 2020-06-11T07:33:02.000Z | app/application.py | codelableidenvelux/agestudy | 8bc688c99f48e8b4c7acd4300c52bd705c1ac3c7 | [
"MIT"
] | 17 | 2020-03-17T19:55:47.000Z | 2020-03-23T16:59:39.000Z | app/application.py | codelableidenvelux/agestudy | 8bc688c99f48e8b4c7acd4300c52bd705c1ac3c7 | [
"MIT"
] | 1 | 2020-06-11T07:33:09.000Z | 2020-06-11T07:33:09.000Z | from flask import Flask, session
from flask_session import Session
from tempfile import mkdtemp
from db.postgresql import Db
import re
from datetime import datetime, timedelta
import string
app = Flask(__name__)
key = open("secret_key.txt", "r")
secret_key = key.read()
app.secret_key = secret_key
# En... | 49.697849 | 641 | 0.622944 | from flask import Flask, redirect, render_template, request, session, flash, jsonify,url_for, Response
from flask_session import Session
from tempfile import mkdtemp
from db.postgresql import Db
from werkzeug.security import check_password_hash, generate_password_hash
from werkzeug.utils import secure_filename
fr... | 0 | 76,963 | 0 | 163 | 0 | 2,700 | 0 | 235 | 1,815 |
960660456fd6d635e92d223aa55f6e6be63a677b | 137 | py | Python | basics/mod_divmod.py | karinakozarova/Learning-Python | 217dfc8ca6931a238445daf0b84e188c02916c52 | [
"MIT"
] | 1 | 2019-04-07T23:14:29.000Z | 2019-04-07T23:14:29.000Z | basics/mod_divmod.py | karinakozarova/Learning-Python | 217dfc8ca6931a238445daf0b84e188c02916c52 | [
"MIT"
] | null | null | null | basics/mod_divmod.py | karinakozarova/Learning-Python | 217dfc8ca6931a238445daf0b84e188c02916c52 | [
"MIT"
] | null | null | null | first = int(input())
second = int(input())
mod = str(divmod(first,second))
print(str(first//second))
print(str(first%second))
print(mod) | 19.571429 | 31 | 0.70073 | first = int(input())
second = int(input())
mod = str(divmod(first,second))
print(str(first//second))
print(str(first%second))
print(mod) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c1d84bbc8e41f5315159a2dec797b6d626a980bd | 1,531 | py | Python | src/scripts/collapseFeaturesAllSamples.py | bmennis/nb_prediction | 46938178c9ec3f4a82cf57a972d6a94303bfa802 | [
"RSA-MD"
] | null | null | null | src/scripts/collapseFeaturesAllSamples.py | bmennis/nb_prediction | 46938178c9ec3f4a82cf57a972d6a94303bfa802 | [
"RSA-MD"
] | null | null | null | src/scripts/collapseFeaturesAllSamples.py | bmennis/nb_prediction | 46938178c9ec3f4a82cf57a972d6a94303bfa802 | [
"RSA-MD"
] | null | null | null | """Mk one feature matrix for sample and chrom.
Use for all samples (not training).
"""
###Adjusting const import was import sfConst, but trying just include: const.py
include: "const.py"
import argparse, sys, os
PWD = os.getcwd().split('code')[0]
sys.path.append(PWD + 'code/rules/')
# def loadData(dataFile):
# ... | 35.604651 | 103 | 0.648596 | """Mk one feature matrix for sample and chrom.
Use for all samples (not training).
"""
###Adjusting const import was import sfConst, but trying just include: const.py
include: "const.py"
import argparse, csv, sys, os, pandas
from functools import reduce
PWD = os.getcwd().split('code')[0]
sys.path.append(PWD + 'code/... | 0 | 0 | 0 | 0 | 0 | 782 | 0 | 20 | 49 |
4cdd4b429c8ff9fc7d7b9f99a108dde49c1f0687 | 10,169 | py | Python | models/inference/inference.py | AlexYangLi/tf_CFO | f56a7276016f0fcc48ebd0cd32d4f095db4c341b | [
"MIT"
] | 33 | 2018-05-09T12:08:03.000Z | 2022-03-14T03:06:16.000Z | models/inference/inference.py | AlexYangLi/tf_CFO | f56a7276016f0fcc48ebd0cd32d4f095db4c341b | [
"MIT"
] | 2 | 2018-06-28T03:09:08.000Z | 2018-10-16T06:44:41.000Z | models/inference/inference.py | AlexYangLi/tf_CFO | f56a7276016f0fcc48ebd0cd32d4f095db4c341b | [
"MIT"
] | 9 | 2018-06-25T09:49:57.000Z | 2019-10-08T07:53:54.000Z | # -*- coding: utf-8 -*-
"""
@author: alexyang
@contact: alex.yang0326@gmail.com
@file: inference.py
@time: 2018/4/22 14:32
@desc:
"""
import os
from argparse import ArgumentParser
from models import EntDect, RelNet, SubTransE, SubTypeVec
os.environ['CUDA_VISIBLE_DEVICES'] = '2'
if __name__ == '__main_... | 40.839357 | 119 | 0.623857 | # -*- coding: utf-8 -*-
"""
@author: alexyang
@contact: alex.yang0326@gmail.com
@file: inference.py
@time: 2018/4/22 14:32
@desc:
"""
import os
import random
from argparse import ArgumentParser
import numpy as np
import pickle
import pandas as pd
from models import EntDect, RelNet, SubTransE, SubTypeVec
os.env... | 0 | 0 | 0 | 0 | 0 | 4,736 | 0 | -21 | 249 |
40f87e2e26c6730ae4feae202381bee51719bd23 | 1,662 | py | Python | custom_components/ge_home/devices/sac.py | olds/ha_gehome | 5cb24deab64bcade45861da0497a84631845922c | [
"MIT"
] | 41 | 2021-08-02T02:15:54.000Z | 2022-03-30T11:11:42.000Z | custom_components/ge_home/devices/sac.py | olds/ha_gehome | 5cb24deab64bcade45861da0497a84631845922c | [
"MIT"
] | 46 | 2021-08-03T02:20:59.000Z | 2022-03-30T11:17:15.000Z | custom_components/ge_home/devices/sac.py | olds/ha_gehome | 5cb24deab64bcade45861da0497a84631845922c | [
"MIT"
] | 15 | 2021-08-31T00:21:33.000Z | 2022-03-30T12:53:21.000Z | import logging
_LOGGER = logging.getLogger(__name__)
| 43.736842 | 216 | 0.746089 | import logging
from typing import List
from homeassistant.helpers.entity import Entity
from gehomesdk.erd import ErdCode, ErdApplianceType
from .base import ApplianceApi
from ..entities import GeSacClimate, GeSacTemperatureSensor, GeErdSensor, GeErdSwitch, ErdOnOffBoolConverter
_LOGGER = logging.getLogger(__name__)
... | 0 | 0 | 0 | 1,309 | 0 | 0 | 0 | 154 | 135 |
839f8c793afc8bdd31090321be1de4e654f6786d | 32,790 | py | Python | cup_project/data_exp/CUP_analysis_general_v4.py | MthBr/kg_embedding_for_medical_booking_data | 1a44ad1f51e9d39766ed93fcdf26ce4c757cc130 | [
"MIT"
] | null | null | null | cup_project/data_exp/CUP_analysis_general_v4.py | MthBr/kg_embedding_for_medical_booking_data | 1a44ad1f51e9d39766ed93fcdf26ce4c757cc130 | [
"MIT"
] | null | null | null | cup_project/data_exp/CUP_analysis_general_v4.py | MthBr/kg_embedding_for_medical_booking_data | 1a44ad1f51e9d39766ed93fcdf26ce4c757cc130 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Jul 3 12:07:10 2019
Generates plots.
DOES NOT WORK! review input files!
@author: modal
"""
import pandas as pd
import numpy as np
import pickle
# Disable warnings in Anaconda
import warnings
warnings.filterwarnings('ignore')
# Matplotlib forms basis... | 46.118143 | 193 | 0.712687 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Jul 3 12:07:10 2019
Generates plots.
DOES NOT WORK! review input files!
@author: modal
"""
import pandas as pd
import numpy as np
import pickle
# Disable warnings in Anaconda
import warnings
warnings.filterwarnings('ignore')
# Matplotlib forms basis... | 38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f331b8784da5aab635708047938becdd9d070905 | 852 | py | Python | docs/make_pdf.py | aemoser/PyWake | 889a2c10882195af21339e9bcf2ede0db9b58319 | [
"MIT"
] | 30 | 2019-03-18T14:10:27.000Z | 2022-03-13T17:39:04.000Z | docs/make_pdf.py | aemoser/PyWake | 889a2c10882195af21339e9bcf2ede0db9b58319 | [
"MIT"
] | 1 | 2020-11-12T06:13:00.000Z | 2020-11-12T06:43:26.000Z | docs/make_pdf.py | aemoser/PyWake | 889a2c10882195af21339e9bcf2ede0db9b58319 | [
"MIT"
] | 20 | 2019-01-11T14:45:13.000Z | 2021-12-13T19:55:29.000Z | from pathlib import Path
import os
if __name__ == '__main__':
import py_wake
docs_path = Path(py_wake.__file__).parents[1] / 'docs'
if os.path.isdir(docs_path / 'api'):
print("Switch to PDF mode")
for ext in ['*.rst', 'notebooks/*.ipynb']:
for f in docs_path.glob(ext):
... | 32.769231 | 66 | 0.561033 | from pathlib import Path
import os
def svg2eps(f, replace=lambda s: s.replace(".svg", ".eps")):
txt = replace(f.read_text(encoding='utf-8')).replace("\r", "")
with open(f, 'w', encoding='utf-8', newline='\n') as fid:
fid.write(txt)
if __name__ == '__main__':
import py_wake
docs_path = Path(p... | 0 | 0 | 0 | 0 | 0 | 191 | 0 | 0 | 23 |
d71e3a55eb3e80ac77b4af625f8e4391eb48c7c2 | 1,399 | py | Python | elements/python/10/5/soln.py | mmcloughlin/problems | 6095842ffe007a12ec8c2093850515aa4e046616 | [
"MIT"
] | 11 | 2019-02-08T06:54:34.000Z | 2021-08-07T18:57:39.000Z | elements/python/10/5/soln.py | mmcloughlin/problems | 6095842ffe007a12ec8c2093850515aa4e046616 | [
"MIT"
] | 1 | 2019-05-21T08:14:10.000Z | 2019-05-21T08:14:10.000Z | elements/python/10/5/soln.py | mmcloughlin/problems | 6095842ffe007a12ec8c2093850515aa4e046616 | [
"MIT"
] | null | null | null |
def depth(n):
"""
depth computes the depth of node n.
"""
d = 0
while n is not None:
n = n.parent
d += 1
return d
def lca(a, b):
"""
Computes the least common ancestor of a and b.
"""
da = depth(a)
db = depth(b)
# ensure a is the closest to the root
... | 20.275362 | 64 | 0.435311 | class Node(object):
def __init__(self, v, p=None, l=None, r=None):
self.value = v
self.parent = p
self.left = l
if l is not None:
l.parent = self
self.right = r
if r is not None:
r.parent = self
def depth(n):
"""
depth computes the de... | 0 | 0 | 0 | 249 | 0 | 448 | 0 | 0 | 68 |
080b83b574e6a0c6f7ed469bfbcace3c32f43405 | 6,260 | py | Python | test/test_stream.py | lokkju/pystream-protobuf | 1ec1bab13bf85a871948e8b08ddd6d965f32ceec | [
"MIT"
] | null | null | null | test/test_stream.py | lokkju/pystream-protobuf | 1ec1bab13bf85a871948e8b08ddd6d965f32ceec | [
"MIT"
] | null | null | null | test/test_stream.py | lokkju/pystream-protobuf | 1ec1bab13bf85a871948e8b08ddd6d965f32ceec | [
"MIT"
] | null | null | null | # coding=utf-8
"""
test.test_stream
~~~~~~~~~~~~~~~~
Test stream.stream module.
:copyright: (c) 2016 by Ali Ghaffaari.
:license: MIT, see LICENSE for more details.
"""
import os
import gzip
import filecmp
from .context import stream
from . import vg_pb2
def write_objs1(fpath, *objs_list, **... | 30.686275 | 79 | 0.661981 | # coding=utf-8
"""
test.test_stream
~~~~~~~~~~~~~~~~
Test stream.stream module.
:copyright: (c) 2016 by Ali Ghaffaari.
:license: MIT, see LICENSE for more details.
"""
import os
import gzip
import filecmp
from .context import stream
from . import vg_pb2
def read_alns1(fpath, **kwargs):
""... | 0 | 0 | 0 | 0 | 1,055 | 0 | 0 | 0 | 46 |
02e8f586c82377452061e82cfe3ea2b2e7901a27 | 413 | py | Python | Hematite/winauto.py | wakeupmh/pythonProjects | a0e5a3be27115b18d0cef5141741f584447dbd07 | [
"MIT"
] | 1 | 2019-05-14T13:03:20.000Z | 2019-05-14T13:03:20.000Z | Hematite/winauto.py | wakeupmh/pythonProjects | a0e5a3be27115b18d0cef5141741f584447dbd07 | [
"MIT"
] | null | null | null | Hematite/winauto.py | wakeupmh/pythonProjects | a0e5a3be27115b18d0cef5141741f584447dbd07 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from pywinauto import application
import time
app = application.Application()
app.start("Notepad.exe")
time.sleep(2)
app.Notepad.edit.type_keys("Este um teste", with_spaces = True)
time.sleep(2)
app.Notepad.menu_select("Arquivo ->Salvar")
app.Salvar.edit.set_edit_text("pywinauto.txt")
... | 27.533333 | 66 | 0.714286 | # -*- coding: utf-8 -*-
from pywinauto import application
import time
app = application.Application()
app.start("Notepad.exe")
time.sleep(2)
app.Notepad.edit.type_keys("Este é um teste", with_spaces = True)
time.sleep(2)
app.Notepad.menu_select("Arquivo ->Salvar")
app.Salvar.edit.set_edit_text("pywinauto.txt")... | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8e7ec043233c48e6b6aed25d5ab149ece4622dfe | 3,297 | py | Python | tests/ov/test_hdlc.py | ftheoleyre/openvisualizer | bddc584ca958ecc12315920de85075a8d0f68f46 | [
"BSD-3-Clause"
] | 6 | 2018-11-11T07:38:18.000Z | 2021-09-27T18:39:01.000Z | tests/ov/test_hdlc.py | ftheoleyre/openvisualizer | bddc584ca958ecc12315920de85075a8d0f68f46 | [
"BSD-3-Clause"
] | 15 | 2018-09-24T18:49:30.000Z | 2021-06-26T13:26:27.000Z | tests/ov/test_hdlc.py | ftheoleyre/openvisualizer | bddc584ca958ecc12315920de85075a8d0f68f46 | [
"BSD-3-Clause"
] | 17 | 2018-10-01T15:19:53.000Z | 2021-09-27T18:39:05.000Z | #!/usr/bin/env python2
import json
import logging
import logging.handlers
import random
# ============================ logging =========================================
LOGFILE_NAME = 'test_hdlc.log'
log = logging.getLogger('test_hdlc')
log.setLevel(logging.ERROR)
log.addHandler(logging.NullHandler())
log_handler ... | 30.527778 | 115 | 0.62572 | #!/usr/bin/env python2
import json
import logging
import logging.handlers
import random
import pytest
from openvisualizer.motehandler.moteprobe import openhdlc
# ============================ logging =========================================
from openvisualizer.utils import format_string_buf
LOGFILE_NAME = 'test_hd... | 0 | 67 | 0 | 0 | 0 | 1,729 | 0 | 57 | 160 |
984932cdad1139aa8f8f24baf09cca70fd4d1c46 | 511 | py | Python | website_monitor/api/migrations/0007_auto_20181104_1849.py | KappaLambda/website-monitor | 2823e36d8089723fb3cca4ba9284f4754dd3d2cf | [
"MIT"
] | null | null | null | website_monitor/api/migrations/0007_auto_20181104_1849.py | KappaLambda/website-monitor | 2823e36d8089723fb3cca4ba9284f4754dd3d2cf | [
"MIT"
] | null | null | null | website_monitor/api/migrations/0007_auto_20181104_1849.py | KappaLambda/website-monitor | 2823e36d8089723fb3cca4ba9284f4754dd3d2cf | [
"MIT"
] | null | null | null | # Generated by Django 2.1.2 on 2018-11-04 18:49
| 22.217391 | 53 | 0.587084 | # Generated by Django 2.1.2 on 2018-11-04 18:49
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0006_auto_20181104_1712'),
]
operations = [
migrations.AlterField(
model_name='checktaskjob',
name='is_delete... | 0 | 0 | 0 | 397 | 0 | 0 | 0 | 19 | 46 |
94d95762bf1b4ac6120e2d1ec429cb37d80cf852 | 2,000 | py | Python | python/akg/ops/math/abs.py | tianjiashuo/akg | a9cbf642063fb1086a93e8bc6be6feb145689817 | [
"Apache-2.0"
] | 286 | 2020-06-23T06:40:44.000Z | 2022-03-30T01:27:49.000Z | python/akg/ops/math/abs.py | tianjiashuo/akg | a9cbf642063fb1086a93e8bc6be6feb145689817 | [
"Apache-2.0"
] | 10 | 2020-07-31T03:26:59.000Z | 2021-12-27T15:00:54.000Z | python/akg/ops/math/abs.py | tianjiashuo/akg | a9cbf642063fb1086a93e8bc6be6feb145689817 | [
"Apache-2.0"
] | 30 | 2020-07-17T01:04:14.000Z | 2021-12-27T14:05:19.000Z | # Copyright 2020-2021 Huawei Technologies Co., Ltd
#
# 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 agre... | 39.215686 | 122 | 0.6845 | # Copyright 2020-2021 Huawei Technologies Co., Ltd
#
# 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 agre... | 0 | 1,294 | 0 | 0 | 0 | 0 | 0 | -7 | 45 |
1bddf3e1c5a94eb8e3c5fc65ce08d1f30c8c8f07 | 2,512 | py | Python | nets/CitationGraphs_node_classification/gin_net.py | sejunssi/benchmarking_gnns | 881c92850f5366f7f8ca008da375037a41936681 | [
"MIT"
] | 5 | 2021-07-13T14:16:22.000Z | 2022-03-07T10:41:21.000Z | nets/CitationGraphs_node_classification/gin_net.py | sejunssi/benchmarking_gnns | 881c92850f5366f7f8ca008da375037a41936681 | [
"MIT"
] | null | null | null | nets/CitationGraphs_node_classification/gin_net.py | sejunssi/benchmarking_gnns | 881c92850f5366f7f8ca008da375037a41936681 | [
"MIT"
] | 1 | 2021-07-26T03:59:48.000Z | 2021-07-26T03:59:48.000Z | import torch.nn as nn
"""
GIN: Graph Isomorphism Networks
HOW POWERFUL ARE GRAPH NEURAL NETWORKS? (Keyulu Xu, Weihua Hu, Jure Leskovec and Stefanie Jegelka, ICLR 2019)
https://arxiv.org/pdf/1810.00826.pdf
"""
| 35.885714 | 113 | 0.583201 | import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from dgl.nn.pytorch.glob import SumPooling, AvgPooling, MaxPooling
"""
GIN: Graph Isomorphism Networks
HOW POWERFUL ARE GRAPH NEURAL NETWORKS? (Keyulu Xu, Weihua Hu, Jure Leskovec and Stefanie Jegelka, ICLR 2019)
https://arxiv.o... | 0 | 0 | 0 | 2,084 | 0 | 0 | 0 | 71 | 135 |
3892661d22532b78ad47568293f2063e70ec2dc4 | 1,123 | py | Python | mogan/tests/unit/api/v1/test_node.py | GURUIFENG9139/rocky-mogan | 6008c1d12b00e70d2cc651f7bd5d47968fc3aec7 | [
"Apache-2.0"
] | null | null | null | mogan/tests/unit/api/v1/test_node.py | GURUIFENG9139/rocky-mogan | 6008c1d12b00e70d2cc651f7bd5d47968fc3aec7 | [
"Apache-2.0"
] | null | null | null | mogan/tests/unit/api/v1/test_node.py | GURUIFENG9139/rocky-mogan | 6008c1d12b00e70d2cc651f7bd5d47968fc3aec7 | [
"Apache-2.0"
] | null | null | null | #
# Copyright 2018 Fiberhome
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,... | 36.225806 | 75 | 0.727516 | #
# Copyright 2018 Fiberhome
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,... | 0 | 331 | 0 | 126 | 0 | 0 | 0 | 21 | 68 |
0e3a3367be6bc445357382bbf7802f56791189a0 | 240 | py | Python | Comprehensions/Exercises/02. words_lengths.py | geodimitrov/PythonAdvanced_SoftUni | 6d8b9c320732c0e8de559aa374e0a2417098ed5b | [
"MIT"
] | null | null | null | Comprehensions/Exercises/02. words_lengths.py | geodimitrov/PythonAdvanced_SoftUni | 6d8b9c320732c0e8de559aa374e0a2417098ed5b | [
"MIT"
] | null | null | null | Comprehensions/Exercises/02. words_lengths.py | geodimitrov/PythonAdvanced_SoftUni | 6d8b9c320732c0e8de559aa374e0a2417098ed5b | [
"MIT"
] | 1 | 2021-08-19T14:36:41.000Z | 2021-08-19T14:36:41.000Z |
words = input().split(", ")
words_lengths = {word: len(word) for word in words}
print_result(words_lengths) | 30 | 71 | 0.666667 | def print_result(collection):
result = [f"{key} -> {value}" for key, value in collection.items()]
print(*result, sep=", ")
words = input().split(", ")
words_lengths = {word: len(word) for word in words}
print_result(words_lengths) | 0 | 0 | 0 | 0 | 0 | 109 | 0 | 0 | 22 |
68f7fb81c2e27bc14cb596fba97315e0c3ce7574 | 2,161 | py | Python | algo/research/hier_spectrum_test.py | alexeyev/visartm | d19e193b3c084d7f355a45b966c8bb2ebb6fa366 | [
"BSD-3-Clause"
] | 1 | 2020-10-01T10:11:21.000Z | 2020-10-01T10:11:21.000Z | algo/research/hier_spectrum_test.py | alexeyev/visartm | d19e193b3c084d7f355a45b966c8bb2ebb6fa366 | [
"BSD-3-Clause"
] | null | null | null | algo/research/hier_spectrum_test.py | alexeyev/visartm | d19e193b3c084d7f355a45b966c8bb2ebb6fa366 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
import numpy as np
import algo.arranging.metrics as metrics
model = research.model
if model.layers_count != 2:
raise ValueError("Ths research is only for 2-level hierarchical models!")
for metric in metrics.metrics_list:
research.report("Metric %s" % metric)
beta_range = np.lins... | 33.246154 | 78 | 0.663582 | # -*- coding: utf-8 -*-
import numpy as np
import json
import algo.arranging.base as arr
import algo.arranging.metrics as metrics
def put_vertical(ax, line, xs):
ymin, ymax = ax.get_ylim()
for x in xs:
ax.plot([x, x], [ymin, ymax], color="red")
model = research.model
if model.layers_count != 2:
... | 0 | 0 | 0 | 0 | 0 | 109 | 0 | 2 | 67 |
109753d3f4b62c64b1210cc9300c334476d2c073 | 1,790 | py | Python | cnn_visualization/backprop/vanilla.py | nkennek/pytorch-cnn-visualizations | 54699710b1beae1edae4bc12e9403080191c40ed | [
"MIT"
] | null | null | null | cnn_visualization/backprop/vanilla.py | nkennek/pytorch-cnn-visualizations | 54699710b1beae1edae4bc12e9403080191c40ed | [
"MIT"
] | null | null | null | cnn_visualization/backprop/vanilla.py | nkennek/pytorch-cnn-visualizations | 54699710b1beae1edae4bc12e9403080191c40ed | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import torch.nn as nn
| 33.148148 | 101 | 0.624022 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
from typing import Tuple
import numpy as np
import torch
import torch.nn as nn
from .base import BackProp
class VanillaBackprop(BackProp):
"""
Produces gradients generated with vanilla back propagation from the image
https://github.com/utkuozbulak/p... | 0 | 0 | 0 | 1,611 | 0 | 0 | 0 | -4 | 114 |
8479a794fa91df49946b4edcd708845cccea9fb5 | 1,157 | py | Python | segeval/data/tsv_test.py | cfournie/segmentation.evaluation | c4140b48112aac697aa7f05effe8026648ebc501 | [
"BSD-3-Clause"
] | 27 | 2015-03-22T23:06:47.000Z | 2022-01-21T23:21:05.000Z | segeval/data/tsv_test.py | cfournie/segmentation.evaluation | c4140b48112aac697aa7f05effe8026648ebc501 | [
"BSD-3-Clause"
] | 4 | 2015-03-12T18:27:08.000Z | 2019-10-24T13:09:31.000Z | segeval/data/tsv_test.py | cfournie/segmentation.evaluation | c4140b48112aac697aa7f05effe8026648ebc501 | [
"BSD-3-Clause"
] | 7 | 2015-03-12T18:29:27.000Z | 2019-01-25T08:52:05.000Z | '''
Tests the data merge functions and package.
.. moduleauthor:: Chris Fournier <chris.m.fournier@gmail.com>
'''
from __future__ import absolute_import
| 30.447368 | 80 | 0.677615 | '''
Tests the data merge functions and package.
.. moduleauthor:: Chris Fournier <chris.m.fournier@gmail.com>
'''
from __future__ import absolute_import
import unittest
import os
from segeval.data.tsv import (input_linear_mass_tsv, input_linear_positions_tsv)
from segeval.data.samples import HEARST_1997_STARGAZER
cl... | 0 | 0 | 0 | 817 | 0 | 0 | 0 | 74 | 111 |
efd24ccc5104cfe9c59a90fbf66d029f177c85e4 | 2,394 | py | Python | thor/orbits/universal_propagate.py | moeyensj/thor | ec1150e23ec69944e45f6beddf57cfb46e9e44dc | [
"BSD-3-Clause"
] | 11 | 2019-08-22T18:37:09.000Z | 2022-02-28T22:49:25.000Z | thor/orbits/universal_propagate.py | moeyensj/thor | ec1150e23ec69944e45f6beddf57cfb46e9e44dc | [
"BSD-3-Clause"
] | 57 | 2019-08-20T19:57:14.000Z | 2021-09-16T20:54:59.000Z | thor/orbits/universal_propagate.py | moeyensj/thor | ec1150e23ec69944e45f6beddf57cfb46e9e44dc | [
"BSD-3-Clause"
] | 7 | 2021-02-09T21:28:43.000Z | 2022-02-01T08:55:29.000Z |
from ..constants import Constants as c
__all__ = [
"propagateUniversal",
]
MU = c.MU | 35.731343 | 111 | 0.622807 | import numpy as np
from numba import jit
from ..constants import Constants as c
from .lagrange import calcLagrangeCoeffs
from .lagrange import applyLagrangeCoeffs
__all__ = [
"propagateUniversal",
]
MU = c.MU
@jit(["f8[:,:](f8[:,:], f8[:], f8[:], f8, i8, f8)"], nopython=True, cache=True)
def propagateUniversal(... | 0 | 2,156 | 0 | 0 | 0 | 0 | 0 | 36 | 111 |
c239cc68cd998f503f51b0387a5d4d17e4ff3731 | 10,524 | py | Python | app/constants.py | PhtRaveller/covid19-ru | 04d7df2c1fc390767a9dc0836c47c8658544f848 | [
"MIT"
] | 9 | 2020-05-09T19:01:36.000Z | 2021-08-14T17:50:16.000Z | app/constants.py | PhtRaveller/covid19-ru | 04d7df2c1fc390767a9dc0836c47c8658544f848 | [
"MIT"
] | 5 | 2020-10-20T22:28:30.000Z | 2022-03-12T00:24:52.000Z | app/constants.py | PhtRaveller/covid19-ru | 04d7df2c1fc390767a9dc0836c47c8658544f848 | [
"MIT"
] | 3 | 2020-04-21T12:02:23.000Z | 2020-11-14T08:01:00.000Z | import pandas as pd
from bokeh.palettes import Reds
REGIONAL_LINKS = [{"name": "", "link": "/"},
{"name": "", "link": "/moscow"}]
# Categories
CATEGORIES = ["total", "died", "recovered", "swabs"]
CATEGORIES_STYLES = {
"total": {"color_class": "red-font", "text": "", "icon_class": "fa-exclamation... | 46.361233 | 147 | 0.464367 | import pandas as pd
from bokeh.palettes import Reds
REGIONAL_LINKS = [{"name": "Россия", "link": "/"},
{"name": "Москва", "link": "/moscow"}]
# Categories
CATEGORIES = ["total", "died", "recovered", "swabs"]
CATEGORIES_STYLES = {
"total": {"color_class": "red-font", "text": "выявлено", "icon_cla... | 2,768 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
432f455e0c201848f4cbfa24c443e77c975655d9 | 1,200 | py | Python | samples/demo_blob.py | SorenSeeberg/MrDatabase | 07d39c1f227d9ceaffe7e409f0915776901dd3e9 | [
"MIT"
] | null | null | null | samples/demo_blob.py | SorenSeeberg/MrDatabase | 07d39c1f227d9ceaffe7e409f0915776901dd3e9 | [
"MIT"
] | 1 | 2018-05-28T11:55:49.000Z | 2018-06-11T16:51:45.000Z | samples/demo_blob.py | SorenSeeberg/MrDatabase | 07d39c1f227d9ceaffe7e409f0915776901dd3e9 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import os
from mr_database import MrDatabase
from mr_database import LogLevel
""" import of table classes """
from samples.table_schema_examples import Image
db = MrDatabase(os.path.join(os.path.abspath(os.path.join(__file__, os.pardir)), 'test_functionality.db'))
if __n... | 26.086957 | 107 | 0.670833 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import os
from mr_database import MrDatabase
from mr_database import LogLevel
""" import of table classes """
from samples.table_schema_examples import Image
db = MrDatabase(os.path.join(os.path.abspath(os.path.join(__file__, os.pardir)), 'test_functionality.db'))
if __n... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
942d621eb544c0853fc0aa90efbbf484c71dd4e8 | 5,546 | py | Python | configy/config_container.py | grigi/configy | 86f6bdd3164f39e83e82e3527f5863032c0ed1e7 | [
"MIT"
] | 3 | 2015-09-18T13:06:04.000Z | 2021-08-10T16:37:21.000Z | configy/config_container.py | grigi/configy | 86f6bdd3164f39e83e82e3527f5863032c0ed1e7 | [
"MIT"
] | null | null | null | configy/config_container.py | grigi/configy | 86f6bdd3164f39e83e82e3527f5863032c0ed1e7 | [
"MIT"
] | null | null | null | '''
Configy confguration container
'''
# pylint: disable=W0212,R0903
import os
import re
from copy import deepcopy
import yaml
env_pattern = re.compile(r".*?\${(.*?)}.*?")
yaml.add_implicit_resolver("!pathex", env_pattern)
yaml.add_constructor("!pathex", env_constructor)
config = ConfigContainer() # pylint: disa... | 25.915888 | 85 | 0.59304 | '''
Configy confguration container
'''
# pylint: disable=W0212,R0903
import os
import re
from copy import deepcopy
import yaml
class ConfigyError(Exception):
'''
Configy exception handler
'''
pass
env_pattern = re.compile(r".*?\${(.*?)}.*?")
def env_constructor(loader, node):
value = loader.const... | 0 | 0 | 0 | 2,082 | 0 | 322 | 0 | 0 | 114 |
c6ad8624696d0190ead25276f66b5efa1582e2f4 | 521 | py | Python | week_7/poll_2.py | assassinen/python_openedu | 50805715f99cdc84fe1dd5d7007a13e37668ab6f | [
"Apache-2.0"
] | null | null | null | week_7/poll_2.py | assassinen/python_openedu | 50805715f99cdc84fe1dd5d7007a13e37668ab6f | [
"Apache-2.0"
] | null | null | null | week_7/poll_2.py | assassinen/python_openedu | 50805715f99cdc84fe1dd5d7007a13e37668ab6f | [
"Apache-2.0"
] | null | null | null | __author__ = 'NovikovII'
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import json
alist = [{'a':[1,2,3], 'b':(1,2,3), 'c':{'a':'List','b':'Data'}, 'd':3.14}]
print(alist)
json_list = json.dumps(alist)
print(json_list)
json_list = json.dumps(alist, separators=(',',':'))
print(json_list)
json_list = json.dumps(ali... | 21.708333 | 77 | 0.652591 | __author__ = 'NovikovII'
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import json
alist = [{'a':[1,2,3], 'b':(1,2,3), 'c':{'a':'List','b':'Data'}, 'd':3.14}]
print(alist)
json_list = json.dumps(alist)
print(json_list)
json_list = json.dumps(alist, separators=(',',':'))
print(json_list)
json_list = json.dumps(ali... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
08d8a5d0524128378cdc99aefe0f9699ed07e24e | 1,805 | py | Python | pycon/sponsorship/migrations/0006_migrate_web_description_and_logo.py | azkarmoulana/pycon | 931388e6f640c35b892bb4b2d12581ba7ec8cf4e | [
"BSD-3-Clause"
] | 154 | 2015-01-17T02:29:24.000Z | 2022-03-20T20:37:24.000Z | pycon/sponsorship/migrations/0006_migrate_web_description_and_logo.py | azkarmoulana/pycon | 931388e6f640c35b892bb4b2d12581ba7ec8cf4e | [
"BSD-3-Clause"
] | 316 | 2015-01-10T04:01:50.000Z | 2020-09-30T20:18:08.000Z | pycon/sponsorship/migrations/0006_migrate_web_description_and_logo.py | azkarmoulana/pycon | 931388e6f640c35b892bb4b2d12581ba7ec8cf4e | [
"BSD-3-Clause"
] | 89 | 2015-01-10T05:25:21.000Z | 2022-02-27T03:28:59.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
| 30.59322 | 98 | 0.652632 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations
def forward(apps, schema_editor):
Sponsor = apps.get_model('sponsorship', 'Sponsor')
db_alias = schema_editor.connection.alias
for sponsor in Sponsor.objects.using(db_alias):
# Get web description an... | 0 | 0 | 0 | 168 | 0 | 1,467 | 0 | 11 | 92 |
62a634f1ebd2c9240d2d364c5f2c754cc1efd9e0 | 3,386 | py | Python | scripts/icdloadergenerator.py | dkurt/OpenCL-ICD-Loader | b0fabd845b0e0d619f49e8fffb01a46c9aaa4c17 | [
"Apache-2.0"
] | null | null | null | scripts/icdloadergenerator.py | dkurt/OpenCL-ICD-Loader | b0fabd845b0e0d619f49e8fffb01a46c9aaa4c17 | [
"Apache-2.0"
] | null | null | null | scripts/icdloadergenerator.py | dkurt/OpenCL-ICD-Loader | b0fabd845b0e0d619f49e8fffb01a46c9aaa4c17 | [
"Apache-2.0"
] | null | null | null | #! /usr/bin/env python3
"""
* Copyright (c) 2019, Intel Corporation
*
* 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, co... | 43.974026 | 112 | 0.688128 | #! /usr/bin/env python3
"""
* Copyright (c) 2019, Intel Corporation
*
* 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, co... | 0 | 0 | 0 | 2,015 | 0 | 0 | 0 | 38 | 113 |
6b31b9cd8a6934a31bda6088fd3fdeca737b6370 | 81 | py | Python | py/python.py | Founder001/TestSSM | ccc46286356ddef9b5c5d59e426f78061800b507 | [
"MIT"
] | 2 | 2018-02-11T06:49:43.000Z | 2018-02-11T06:55:36.000Z | py/python.py | Founder001/TestSSM | ccc46286356ddef9b5c5d59e426f78061800b507 | [
"MIT"
] | null | null | null | py/python.py | Founder001/TestSSM | ccc46286356ddef9b5c5d59e426f78061800b507 | [
"MIT"
] | 4 | 2018-02-11T06:57:12.000Z | 2018-02-11T10:12:41.000Z | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
_author_ = 'lilu'
print('hello')
| 11.571429 | 22 | 0.592593 | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
_author_ = 'lilu'
print('hello')
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0754ac143e7e1a63eef91113fab178e4ef057dd9 | 11,073 | py | Python | src/data/vehicles.py | enric1994/dr4oc | bf61929ab14fcdbbb784df05d97154a89a6eca10 | [
"MIT"
] | 1 | 2022-02-26T12:45:30.000Z | 2022-02-26T12:45:30.000Z | src/data/vehicles.py | enric1994/dr4oc | bf61929ab14fcdbbb784df05d97154a89a6eca10 | [
"MIT"
] | null | null | null | src/data/vehicles.py | enric1994/dr4oc | bf61929ab14fcdbbb784df05d97154a89a6eca10 | [
"MIT"
] | 1 | 2022-02-26T12:45:32.000Z | 2022-02-26T12:45:32.000Z |
MIN_LIGHTS = 5
MAX_LIGHTS = 8
LIGHT_ENERGY_MIN = 0.4
LIGHT_ENERGY_MAX = 1
LIGHT_POSITION_VAR = 3
LIGHT_CAST_SHADOWS = True
LIGHT_TYPES = ['SUN']
LIGHT_COLOR_MIN = 1
LIGHT_NEGATIVE = False
OBJECT_SCALE_MIN = 20
OBJECT_SCALE_MAX = 40#0.2
OBJECT_TRANSFORMS = ['RANDOMIZE'] #['CAST', 'SOLIDIFY', 'SIMPLE_DEFORM', 'RANDOMI... | 58.898936 | 5,136 | 0.650592 | import random
import math
from sklearn.datasets import make_blobs
from src.data.utils.places_utils import get_random_image
from src.data.utils.lowpoly_utils import get_random_lowpoly_vehicle
MIN_LIGHTS = 5
MAX_LIGHTS = 8
LIGHT_ENERGY_MIN = 0.4
LIGHT_ENERGY_MAX = 1
LIGHT_POSITION_VAR = 3
LIGHT_CAST_SHADOWS = True
LIGH... | 0 | 0 | 0 | 0 | 0 | 4,746 | 0 | 81 | 134 |
bcc6a42c05f89e692fbefe32ef9c2371b465448e | 1,086 | py | Python | core/tests/add_user_clarus.py | manisharmagarg/qymatix | 0dc240970359429ae5105db79f9aebf1a99ba6fd | [
"Apache-2.0"
] | null | null | null | core/tests/add_user_clarus.py | manisharmagarg/qymatix | 0dc240970359429ae5105db79f9aebf1a99ba6fd | [
"Apache-2.0"
] | null | null | null | core/tests/add_user_clarus.py | manisharmagarg/qymatix | 0dc240970359429ae5105db79f9aebf1a99ba6fd | [
"Apache-2.0"
] | null | null | null | from django.contrib.auth.models import User
from core.views.config_user import ConfigUser
user1 = {
'email': 'test@clarus-films.com',
'password': 'demo',
'first_name': "Clarus",
'last_name': "Films GmbH",
}
email = user1['email']
password = user1['password']
first_name = user1['first_name']
last_nam... | 25.255814 | 118 | 0.718232 | from django.contrib.auth.models import User
from core.views.config_user import ConfigUser
user1 = {
'email': 'test@clarus-films.com',
'password': 'demo',
'first_name': "Clarus",
'last_name': "Films GmbH",
}
email = user1['email']
password = user1['password']
first_name = user1['first_name']
last_nam... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8115bbf05b5af2e3f73f6616fc1a7d258963f170 | 560 | py | Python | fastflix/encoders/ffmpeg_hevc_nvenc/main.py | AwesomeGitHubRepos/FastFlix | 60adf2b68a13907ac17013cb621867b2b302c101 | [
"MIT"
] | null | null | null | fastflix/encoders/ffmpeg_hevc_nvenc/main.py | AwesomeGitHubRepos/FastFlix | 60adf2b68a13907ac17013cb621867b2b302c101 | [
"MIT"
] | null | null | null | fastflix/encoders/ffmpeg_hevc_nvenc/main.py | AwesomeGitHubRepos/FastFlix | 60adf2b68a13907ac17013cb621867b2b302c101 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = "Chris Griffith"
from pathlib import Path
import pkg_resources
name = "HEVC (NVENC)"
requires = "cuda-llvm"
video_extension = "mkv"
video_dimension_divisor = 1
icon = str(Path(pkg_resources.resource_filename(__name__, f"../../data/encoders/icon_nvenc.png")).... | 26.666667 | 108 | 0.785714 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = "Chris Griffith"
from pathlib import Path
import pkg_resources
name = "HEVC (NVENC)"
requires = "cuda-llvm"
video_extension = "mkv"
video_dimension_divisor = 1
icon = str(Path(pkg_resources.resource_filename(__name__, f"../../data/encoders/icon_nvenc.png")).... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 113 | 45 |
6db49345ea4cfb413e039c01398ef72a9f81b829 | 280 | py | Python | hack/arp/ip.py | MisterZhouZhou/pythonLearn | 8933c7a6d444d3d86a173984e6cf4c08dbf84039 | [
"Apache-2.0"
] | 1 | 2019-07-09T09:59:39.000Z | 2019-07-09T09:59:39.000Z | hack/arp/ip.py | MisterZhouZhou/pythonLearn | 8933c7a6d444d3d86a173984e6cf4c08dbf84039 | [
"Apache-2.0"
] | null | null | null | hack/arp/ip.py | MisterZhouZhou/pythonLearn | 8933c7a6d444d3d86a173984e6cf4c08dbf84039 | [
"Apache-2.0"
] | null | null | null | import socket
#
hostname = socket.gethostname()
#IP
ip = socket.gethostbyname(hostname)
# Mac
print(hostname, ip, get_mac_address()) | 25.454545 | 56 | 0.696429 | import socket,uuid
# 获取主机名
hostname = socket.gethostname()
#获取IP
ip = socket.gethostbyname(hostname)
# 获取Mac地址
def get_mac_address():
mac=uuid.UUID(int = uuid.getnode()).hex[-12:]
return ":".join([mac[e:e+2] for e in range(0,11,2)])
print(hostname, ip, get_mac_address()) | 33 | 0 | 0 | 0 | 0 | 108 | 0 | 5 | 22 |
0ecae2b9be1eaa5175289bb1d96a334c01e938e5 | 8,188 | py | Python | fedlearner/common/metrics.py | piiswrong/fedlearner | 8875d30cfeb40d149a26faa5056f9fa6e96b3fac | [
"Apache-2.0"
] | 5 | 2020-04-14T06:37:45.000Z | 2021-04-26T15:58:01.000Z | fedlearner/common/metrics.py | piiswrong/fedlearner | 8875d30cfeb40d149a26faa5056f9fa6e96b3fac | [
"Apache-2.0"
] | 1 | 2020-04-27T03:01:27.000Z | 2020-04-27T03:01:27.000Z | fedlearner/common/metrics.py | piiswrong/fedlearner | 8875d30cfeb40d149a26faa5056f9fa6e96b3fac | [
"Apache-2.0"
] | 13 | 2020-02-20T05:56:52.000Z | 2020-06-08T07:11:25.000Z | # Copyright 2020 The FedLearner 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 applica... | 33.149798 | 80 | 0.593063 | # Copyright 2020 The FedLearner 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 applica... | 0 | 855 | 0 | 5,848 | 0 | 202 | 0 | 79 | 427 |
001b0a27287fd30407da25f57d66c3620a999b02 | 3,306 | py | Python | Bruno/admin.py | brunoalmeidamartins/ryu | ffb1a3d6e04e2446cfde5275c2df9624e53e924a | [
"Apache-2.0"
] | null | null | null | Bruno/admin.py | brunoalmeidamartins/ryu | ffb1a3d6e04e2446cfde5275c2df9624e53e924a | [
"Apache-2.0"
] | null | null | null | Bruno/admin.py | brunoalmeidamartins/ryu | ffb1a3d6e04e2446cfde5275c2df9624e53e924a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
#Aplicacao de administracao de classes de servicos - Versao 7.0
#Manipula uma lista de objetos Classe
import os
path_home = os.getenv("HOME") #Captura o caminho da pasta HOME
path_home = '/home/bruno'
filename=path_home+'/ryu/Bruno/classes.conf' #Nome do arquivo de classes de servicos
tx_max=100000... | 27.55 | 137 | 0.69873 | #!/usr/bin/python
#Aplicacao de administracao de classes de servicos - Versao 7.0
#Manipula uma lista de objetos Classe
import os
from classe import Classe
import pickle
path_home = os.getenv("HOME") #Captura o caminho da pasta HOME
path_home = '/home/bruno'
filename=path_home+'/ryu/Bruno/classes.conf' #Nome do arqu... | 0 | 0 | 0 | 0 | 0 | 1,287 | 0 | -4 | 182 |
7ee002035af97c3fd9e9ad40aec4fe2d6e7d0f42 | 1,263 | py | Python | pre_commit_hooks/loaderon_hooks/util/template_methods/checker_template_method.py | alvaroscelza/pre-commit-hooks | fc9a7a376dc733a1e3cc00b5ed35936bcb3c3b3b | [
"MIT"
] | null | null | null | pre_commit_hooks/loaderon_hooks/util/template_methods/checker_template_method.py | alvaroscelza/pre-commit-hooks | fc9a7a376dc733a1e3cc00b5ed35936bcb3c3b3b | [
"MIT"
] | null | null | null | pre_commit_hooks/loaderon_hooks/util/template_methods/checker_template_method.py | alvaroscelza/pre-commit-hooks | fc9a7a376dc733a1e3cc00b5ed35936bcb3c3b3b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
| 28.066667 | 92 | 0.661916 | # -*- coding: utf-8 -*-
import argparse
from abc import abstractmethod
from argparse import ArgumentTypeError
from pre_commit_hooks.loaderon_hooks.util.check_failed_exception import CheckFailedException
class CheckerTemplateMethod(object):
def __init__(self, argv):
self.parser = argparse.ArgumentParser()... | 0 | 38 | 0 | 997 | 0 | 0 | 0 | 91 | 112 |
b9afd0202ebfec040ff0f9b46370c978adb033cc | 638 | py | Python | models/multitask/config.py | nghuyong/mtl-duolingo | bd7c9bf1f3d54b23928ba3af2b460e5e34eb8375 | [
"MIT"
] | null | null | null | models/multitask/config.py | nghuyong/mtl-duolingo | bd7c9bf1f3d54b23928ba3af2b460e5e34eb8375 | [
"MIT"
] | null | null | null | models/multitask/config.py | nghuyong/mtl-duolingo | bd7c9bf1f3d54b23928ba3af2b460e5e34eb8375 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# encoding: utf-8
| 21.266667 | 41 | 0.673981 | #!/usr/bin/env python
# encoding: utf-8
from models.base.config import BaseConfig
class MultiTaskConfig(BaseConfig):
batch_size = 128
lr = 1e-3
pos_weight = 0.7
# Meta Encoder
meta_embedding_dim = 150
user_related_MLP_layers = 1
exercise_related_MLP_layers = 1
# Context Encoder
co... | 0 | 0 | 0 | 533 | 0 | 0 | 0 | 20 | 45 |
f21ec9f03201e9aca6654932bfebcc74b5667fbb | 215 | py | Python | setup.py | glucometers-tech/freestyle-hid | 371f0df2f2c52442716d88760d97a2282c83ff95 | [
"Apache-2.0",
"MIT"
] | 3 | 2021-06-16T03:42:57.000Z | 2021-11-01T07:01:50.000Z | setup.py | Flameeyes/freestyle-hid | b231c996a62dd179ff4daf50ed20976c327cf845 | [
"Apache-2.0",
"MIT"
] | 1 | 2020-10-04T15:11:00.000Z | 2020-10-04T15:11:39.000Z | setup.py | Flameeyes/freestyle-hid | b231c996a62dd179ff4daf50ed20976c327cf845 | [
"Apache-2.0",
"MIT"
] | 1 | 2020-10-04T18:55:34.000Z | 2020-10-04T18:55:34.000Z | # -*- coding: utf-8 -*-
#
# SPDX-FileCopyrightText: 2013 The freestyle-hid Authors
# SPDX-License-Identifier: 0BSD
# Ensure it's present.
from setuptools import setup
setup()
| 19.545455 | 58 | 0.725581 | # -*- coding: utf-8 -*-
#
# SPDX-FileCopyrightText: © 2013 The freestyle-hid Authors
# SPDX-License-Identifier: 0BSD
# Ensure it's present.
import setuptools_scm # noqa: F401
from setuptools import setup
setup()
| 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36 |
5bbef959ae904be5340df2e020cf84d93764a6c0 | 763 | py | Python | src_smp/s_curve.py | Thijs3/Anomaly-Detection-with-RS-Quadtree | 7389ba7c8359c22f7a00c4e0a1bc03534b0666b5 | [
"MIT"
] | null | null | null | src_smp/s_curve.py | Thijs3/Anomaly-Detection-with-RS-Quadtree | 7389ba7c8359c22f7a00c4e0a1bc03534b0666b5 | [
"MIT"
] | null | null | null | src_smp/s_curve.py | Thijs3/Anomaly-Detection-with-RS-Quadtree | 7389ba7c8359c22f7a00c4e0a1bc03534b0666b5 | [
"MIT"
] | null | null | null | print(__doc__)
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from sklearn import datasets
# Next line to silence pyflakes. This import is needed.
Axes3D
n_points = 1000
X, color = datasets.make_s_curve(n_points, random_state=0)
n_neighbors = 10
n_components = 2
# Create figure
fig = plt.fi... | 25.433333 | 68 | 0.74574 | print(__doc__)
from collections import OrderedDict
from functools import partial
from time import time
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from matplotlib.ticker import NullFormatter
from sklearn import manifold, datasets
# Next line to silence pyflakes. This import is needed.
Axe... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 54 | 89 |
8007bbe259e1edb27d3ab5c180862e33c2be7c41 | 2,166 | py | Python | util/remove_alt_splicing_from_gff.py | MayroseLab/Panoramic | 9e1ef68ab863e8127da6f40cb68d2c06f11b9d61 | [
"MIT"
] | 2 | 2021-12-15T03:13:36.000Z | 2022-02-20T12:14:37.000Z | util/remove_alt_splicing_from_gff.py | MayroseLab/Panoramic | 9e1ef68ab863e8127da6f40cb68d2c06f11b9d61 | [
"MIT"
] | 12 | 2020-07-18T14:02:50.000Z | 2021-02-08T16:12:44.000Z | util/remove_alt_splicing_from_gff.py | MayroseLab/Panoramic | 9e1ef68ab863e8127da6f40cb68d2c06f11b9d61 | [
"MIT"
] | 1 | 2021-09-23T10:51:15.000Z | 2021-09-23T10:51:15.000Z | """
Takes a gff file and for genes with
multiple mRNAs, only keeps the longest
(largest sum of exon lengths). Prints
out a new gff.
If a proteins fasta is also provided,
removes genes shorter than a given
cutoff
"""
from __future__ import print_function
import gffutils
import sys
from os import remove
from time import... | 32.328358 | 105 | 0.698061 | """
Takes a gff file and for genes with
multiple mRNAs, only keeps the longest
(largest sum of exon lengths). Prints
out a new gff.
If a proteins fasta is also provided,
removes genes shorter than a given
cutoff
"""
from __future__ import print_function
import gffutils
import sys
from os import remove
from time import... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
83b97ccd04764c48f09c807d506e22454dd9c082 | 2,030 | py | Python | tests/task/keras/test_keras_util.py | UTokyo-ICEPP/multiml | 3dce96492c90bb2bc9c2d4ccfd66eb13d652a520 | [
"Apache-2.0"
] | 7 | 2021-04-16T03:05:25.000Z | 2021-12-17T06:04:13.000Z | tests/task/keras/test_keras_util.py | UTokyo-ICEPP/multiml | 3dce96492c90bb2bc9c2d4ccfd66eb13d652a520 | [
"Apache-2.0"
] | 6 | 2021-04-21T10:17:14.000Z | 2021-06-30T06:18:41.000Z | tests/task/keras/test_keras_util.py | UTokyo-ICEPP/multiml | 3dce96492c90bb2bc9c2d4ccfd66eb13d652a520 | [
"Apache-2.0"
] | 5 | 2021-04-15T06:38:04.000Z | 2021-09-05T14:30:05.000Z |
if __name__ == '__main__':
test_keras_util()
| 31.71875 | 94 | 0.625123 | import os
import numpy as np
import pytest
from multiml import logger
from multiml.saver import Saver
from multiml.task.keras.modules import MLPBlock
def test_keras_util():
logger.set_level(logger.DEBUG)
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '1'
saver = Saver()
model = MLPBlock(
layers=[2,... | 0 | 0 | 0 | 0 | 0 | 1,803 | 0 | 18 | 157 |
fca5c85eda3331958af7047d575b615031d4694e | 451 | py | Python | pysyte/config/urator.py | git-wwts/pysyte | 625658138cdb5affc1a6a89a9f2c7e3667ee80c2 | [
"MIT"
] | 1 | 2021-11-10T15:24:36.000Z | 2021-11-10T15:24:36.000Z | pysyte/config/urator.py | git-wwts/pysyte | 625658138cdb5affc1a6a89a9f2c7e3667ee80c2 | [
"MIT"
] | 12 | 2020-01-15T00:19:41.000Z | 2021-05-11T14:52:04.000Z | pysyte/config/urator.py | git-wwts/pysyte | 625658138cdb5affc1a6a89a9f2c7e3667ee80c2 | [
"MIT"
] | 2 | 2015-01-31T11:51:06.000Z | 2015-01-31T21:29:19.000Z | """Handle config files"""
| 20.5 | 57 | 0.696231 | """Handle config files"""
import yaml
from pysyte.types.dictionaries import NameSpaces
class Config(NameSpaces):
def __init__(self, data):
super().__init__(data)
def load(path_to_config):
with path_to_config.open() as stream:
data = yaml.safe_load(stream)
return Config(data)
def ... | 0 | 0 | 0 | 65 | 0 | 225 | 0 | 17 | 115 |
22cb9eabb040f77e9d22bd85031f2ee0dd3a75c4 | 775 | py | Python | newsroom/migrations/0014_auto_20200720_1122.py | groundupnews/gu | c7179ee3d058c8749d250d681032a76dc8d599d5 | [
"BSD-3-Clause"
] | 19 | 2018-01-28T14:35:40.000Z | 2020-12-04T03:04:02.000Z | newsroom/migrations/0014_auto_20200720_1122.py | groundupnews/gu | c7179ee3d058c8749d250d681032a76dc8d599d5 | [
"BSD-3-Clause"
] | 8 | 2018-06-02T14:28:28.000Z | 2021-08-06T10:22:37.000Z | newsroom/migrations/0014_auto_20200720_1122.py | groundupnews/gu | c7179ee3d058c8749d250d681032a76dc8d599d5 | [
"BSD-3-Clause"
] | 21 | 2018-02-25T14:07:48.000Z | 2020-05-28T23:10:52.000Z | # Generated by Django 2.2.12 on 2020-07-20 09:22
| 40.789474 | 433 | 0.68129 | # Generated by Django 2.2.12 on 2020-07-20 09:22
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('newsroom', '0013_auto_20200506_2255'),
]
operations = [
migrations.AlterField(
model_name='article',
name='copyrigh... | 0 | 0 | 0 | 660 | 0 | 0 | 0 | 19 | 46 |
df32d57760510f6b0887b4e5d44563934fc3759b | 13,697 | py | Python | gcn_main.py | onomcanbot/VPS_GCN | a999cdffffd80f0292dbc0c5b2c7fbc24a62ac12 | [
"MIT"
] | null | null | null | gcn_main.py | onomcanbot/VPS_GCN | a999cdffffd80f0292dbc0c5b2c7fbc24a62ac12 | [
"MIT"
] | null | null | null | gcn_main.py | onomcanbot/VPS_GCN | a999cdffffd80f0292dbc0c5b2c7fbc24a62ac12 | [
"MIT"
] | null | null | null | import os
import numpy as np
from modules.dataset import KittiDataset
from util.config_util import load_train_config, load_config
import torch
import torch.nn as nn
import torch.optim as optim
#import tensorboardX import SummaryWriter
if torch.cuda.is_available() == True:
print("torch cuda is avail... | 33.903465 | 155 | 0.584508 | import os
import argparse
import math
import time
import numpy as np
from tqdm import trange
from tqdm import tqdm
from modules.dataset import KittiDataset, euler_from_quaternion
from modules.load_dataset import *
from modules.box import box_encoding, box_decoding
from modules.model_gcn import *
from mod... | 114 | 0 | 0 | 0 | 0 | 9,154 | 0 | 91 | 353 |
6f1310b92290604cd78ac0f7ce1ba60798c8597e | 80 | py | Python | Aula07/ex00.py | danicon/Curso_Python | 18fb4aad975bdc3b96cb5320331dbc7d3c3a459d | [
"MIT"
] | null | null | null | Aula07/ex00.py | danicon/Curso_Python | 18fb4aad975bdc3b96cb5320331dbc7d3c3a459d | [
"MIT"
] | null | null | null | Aula07/ex00.py | danicon/Curso_Python | 18fb4aad975bdc3b96cb5320331dbc7d3c3a459d | [
"MIT"
] | null | null | null | nome = input('Qual o seu nome? ')
print(f'Prazer em te conhecer {nome:=^20}!') | 40 | 44 | 0.65 | nome = input('Qual é o seu nome? ')
print(f'Prazer em te conhecer {nome:=^20}!') | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
36ad338550bf23823bfa666520274cd14c703c1c | 691 | py | Python | setup.py | luxiaohan/pysixdesk | 8430dfac707ccbc2a505b11add35d809484c3e9d | [
"MIT"
] | null | null | null | setup.py | luxiaohan/pysixdesk | 8430dfac707ccbc2a505b11add35d809484c3e9d | [
"MIT"
] | null | null | null | setup.py | luxiaohan/pysixdesk | 8430dfac707ccbc2a505b11add35d809484c3e9d | [
"MIT"
] | null | null | null | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="pysixdesk",
version="0.0.1",
author='Xiaohan Lu,A. Mereghetti',
author_email='luxh@ihep.ac.cn,Alessio.Mereghetti@cern.ch',
description="A python interface to manage and control the workflo... | 31.409091 | 89 | 0.681621 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="pysixdesk",
version="0.0.1",
author='Xiaohan Lu,A. Mereghetti',
author_email='luxh@ihep.ac.cn,Alessio.Mereghetti@cern.ch',
description="A python interface to manage and control the workflo... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
36d04491476caf8aed0553c4c8fd5511d0acfbd5 | 2,298 | py | Python | gateway/src/main_bk.py | bother3000/Smart-IoT-Planting-System | 7c33f150850fb8c9bc250fa02bf306f02f7cafb8 | [
"MIT"
] | 171 | 2017-09-22T08:25:18.000Z | 2022-02-28T07:56:41.000Z | gateway/src/main_bk.py | bother3000/Smart-IoT-Planting-System | 7c33f150850fb8c9bc250fa02bf306f02f7cafb8 | [
"MIT"
] | 2 | 2018-06-28T02:33:04.000Z | 2021-06-09T06:56:58.000Z | gateway/src/main_bk.py | bother3000/Smart-IoT-Planting-System | 7c33f150850fb8c9bc250fa02bf306f02f7cafb8 | [
"MIT"
] | 108 | 2017-10-03T20:11:52.000Z | 2022-03-19T15:21:48.000Z | #!/usr/bin/env python
#Communicate with end devices via LoRa.
#Communicate with server via MQTT(hbmqtt) and HTTP POST.
#Save data in the sqlite database.
#Parse JSON from MQTT and LoRa protocol.
#Communication module: LoRa.
#Communication method with device via LoRa.
#Uart port drive LoRa module.
#Parse JSON between d... | 36.47619 | 95 | 0.58007 | #!/usr/bin/env python
#Communicate with end devices via LoRa.
#Communicate with server via MQTT(hbmqtt) and HTTP POST.
#Save data in the sqlite database.
#Parse JSON from MQTT and LoRa protocol.
#Communication module: LoRa.
#Communication method with device via LoRa.
#Uart port drive LoRa module.
#Parse JSON between d... | 0 | 0 | 0 | 0 | 0 | 1,259 | 0 | -20 | 66 |
6a3e60c55d38b047f32ff4dc41ae418637e1c143 | 1,948 | py | Python | scripts/undistort.py | xloem/xivo | a7dd2553aed28adeee6b6f4c69feb9ba760f12f2 | [
"BSD-4-Clause-UC"
] | 662 | 2019-09-01T02:16:59.000Z | 2022-03-29T19:24:07.000Z | scripts/undistort.py | xloem/xivo | a7dd2553aed28adeee6b6f4c69feb9ba760f12f2 | [
"BSD-4-Clause-UC"
] | 38 | 2019-09-05T05:02:20.000Z | 2022-03-30T02:59:49.000Z | scripts/undistort.py | xloem/xivo | a7dd2553aed28adeee6b6f4c69feb9ba760f12f2 | [
"BSD-4-Clause-UC"
] | 104 | 2019-09-01T07:41:58.000Z | 2022-03-27T16:24:54.000Z | import argparse, os, json
import numpy as np
import cv2
parser = argparse.ArgumentParser()
parser.add_argument('log', help='log file dumped by pyxivo to process')
parser.add_argument('out_dir', help='output directory to save undistorted images')
parser.add_argument('-debug', action='store_true', default=False, help='... | 31.934426 | 121 | 0.645791 | import argparse, os, json
import numpy as np
import matplotlib.pyplot as plt
import cv2
parser = argparse.ArgumentParser()
parser.add_argument('log', help='log file dumped by pyxivo to process')
parser.add_argument('out_dir', help='output directory to save undistorted images')
parser.add_argument('-debug', action='st... | 0 | 0 | 0 | 0 | 0 | 623 | 0 | 10 | 45 |
5e34313fbcfc9f1b5fae9e1758091b71132ab596 | 7,239 | py | Python | smarthome/state.py | andvikt/mqtt_decorator | 36bf76d3d6fa548172db32cdf002d68c96c7a535 | [
"BSD-2-Clause"
] | null | null | null | smarthome/state.py | andvikt/mqtt_decorator | 36bf76d3d6fa548172db32cdf002d68c96c7a535 | [
"BSD-2-Clause"
] | null | null | null | smarthome/state.py | andvikt/mqtt_decorator | 36bf76d3d6fa548172db32cdf002d68c96c7a535 | [
"BSD-2-Clause"
] | null | null | null |
from .const import logger
logger = logger.getChild('states')
| 41.603448 | 128 | 0.615278 | import asyncio
from dataclasses import dataclass, field
from typing import Generic, Callable, Union
from .const import _T, logger, _ThingT, Logger
import typing
from asyncio_primitives import CustomCondition, utils as async_utils
from .utils.proxy import LambdaProxy
logger = logger.getChild('states')
@dataclass(eq=... | 0 | 6,910 | 0 | 0 | 0 | 0 | 0 | 109 | 156 |
61482fb23a6693fe4337bc4ec2c53a909d61030d | 1,664 | py | Python | Python/pycg/json_converter.py | longhorn396/code-golf | e279ab0f57594f37f461ad5066958c480787ff72 | [
"MIT"
] | null | null | null | Python/pycg/json_converter.py | longhorn396/code-golf | e279ab0f57594f37f461ad5066958c480787ff72 | [
"MIT"
] | null | null | null | Python/pycg/json_converter.py | longhorn396/code-golf | e279ab0f57594f37f461ad5066958c480787ff72 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""Used to convert Python strings of JSON into human-readable JSON
Useful when building AWS Lambda functions"""
from ast import literal_eval
from .common import main
def py_to_js(obj_str):
"""Evaluate string and return readable result"""
return rprint(literal_eval(obj_str))
def rprint... | 32 | 96 | 0.549279 | #!/usr/bin/env python3
"""Used to convert Python strings of JSON into human-readable JSON
Useful when building AWS Lambda functions"""
from ast import literal_eval
from .common import main
def py_to_js(obj_str):
"""Evaluate string and return readable result"""
return rprint(literal_eval(obj_str))
def rprint... | 0 | 0 | 0 | 0 | 0 | 127 | 0 | 0 | 26 |
40f38a52391e6cd4af6243f80eb0dc3f7ea48dca | 5,892 | py | Python | Zhockon/python/structure.py | williamlagos/qt-coding | 0457a587116b9c4146c230964773a2de3d12d300 | [
"MIT"
] | null | null | null | Zhockon/python/structure.py | williamlagos/qt-coding | 0457a587116b9c4146c230964773a2de3d12d300 | [
"MIT"
] | null | null | null | Zhockon/python/structure.py | williamlagos/qt-coding | 0457a587116b9c4146c230964773a2de3d12d300 | [
"MIT"
] | null | null | null | #
# This file is part of Zhockon Platform project.
#
# Copyright (C) 2009-2011 William Oliveira de Lagos <william.lagos1@gmail.com>
#
# Zhockon is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3... | 36.596273 | 105 | 0.5426 | #
# This file is part of Zhockon Platform project.
#
# Copyright (C) 2009-2011 William Oliveira de Lagos <william.lagos1@gmail.com>
#
# Zhockon is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3... | 0 | 0 | 0 | 4,945 | 0 | 0 | 0 | 6 | 184 |
88a050ca07079f4e64ec1b43497ac429a894f239 | 2,987 | py | Python | util/eval_util.py | aogdrummond/sound_field_sim_neural_net | 23822829deda6e0607da896a0ed000162094be42 | [
"MIT"
] | null | null | null | util/eval_util.py | aogdrummond/sound_field_sim_neural_net | 23822829deda6e0607da896a0ed000162094be42 | [
"MIT"
] | null | null | null | util/eval_util.py | aogdrummond/sound_field_sim_neural_net | 23822829deda6e0607da896a0ed000162094be42 | [
"MIT"
] | null | null | null |
columns_names=["name","num_file","xDim","yDim","m2","num_mics","num_comb","freq","NMSE","SSIM","pattern","p_real","p_predicted","p_previous"]
| 30.171717 | 141 | 0.679946 | import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
columns_names=["name","num_file","xDim","yDim","m2","num_mics","num_comb","freq","NMSE","SSIM","pattern","p_real","p_predicted","p_previous"]
def preprocess_df(dataframe):
num_mics = np.unique(dataframe['num_mics'].values)
list_str_freq = n... | 0 | 0 | 0 | 0 | 0 | 2,703 | 0 | 5 | 135 |
6331836b6583031e61b620fbaea6b77589749324 | 3,164 | py | Python | smart_selects/db_fields.py | zhangguiyu/django-smart-selects | 089c84e80ed6588620cca80ac8d5bbfadfb04889 | [
"BSD-3-Clause"
] | null | null | null | smart_selects/db_fields.py | zhangguiyu/django-smart-selects | 089c84e80ed6588620cca80ac8d5bbfadfb04889 | [
"BSD-3-Clause"
] | null | null | null | smart_selects/db_fields.py | zhangguiyu/django-smart-selects | 089c84e80ed6588620cca80ac8d5bbfadfb04889 | [
"BSD-3-Clause"
] | null | null | null |
try:
from south.modelsinspector import add_introspection_rules
has_south = True
except ImportError:
has_south = False
if has_south:
rules_grouped = [(
(GroupedForeignKey,),
[],
{
'to': ['rel.to', {}],
'group_field': ['group_field', {}],
},
... | 34.769231 | 97 | 0.621365 | from django.db.models.fields.related import ForeignKey
try:
from south.modelsinspector import add_introspection_rules
has_south = True
except ImportError:
has_south = False
from smart_selects import form_fields
class ChainedForeignKey(ForeignKey):
"""
chains the choices of a previous combo box ... | 0 | 0 | 0 | 2,524 | 0 | 0 | 0 | 49 | 91 |
9f241478dcc0ce7ad4168952723f332ab07015f4 | 344 | py | Python | campaign/migrations/0004_remove_campaignpage_donor.py | Aleccc/gtcrew | 7e6e7024afdbf48ee796cb1f9a86b913e6843dda | [
"MIT"
] | null | null | null | campaign/migrations/0004_remove_campaignpage_donor.py | Aleccc/gtcrew | 7e6e7024afdbf48ee796cb1f9a86b913e6843dda | [
"MIT"
] | 21 | 2019-02-14T02:47:34.000Z | 2022-01-23T02:22:54.000Z | campaign/migrations/0004_remove_campaignpage_donor.py | Aleccc/gtcrew | 7e6e7024afdbf48ee796cb1f9a86b913e6843dda | [
"MIT"
] | null | null | null | # Generated by Django 3.0.7 on 2020-06-13 22:22
| 19.111111 | 58 | 0.610465 | # Generated by Django 3.0.7 on 2020-06-13 22:22
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('campaign', '0003_campaignpage_donateindexpage'),
]
operations = [
migrations.RemoveField(
model_name='campaignpage',
name='d... | 0 | 0 | 0 | 238 | 0 | 0 | 0 | 11 | 46 |
5793cd1aca875bed94166bb0441a408187b6039a | 3,570 | py | Python | cmdb-compliance/pocsuite/pocs/solr_8.3.1_rce.py | zjj1002/aws-cloud-cmdb-system | 47982007688e5db1272435891cb654ab11d0d60a | [
"Apache-2.0"
] | null | null | null | cmdb-compliance/pocsuite/pocs/solr_8.3.1_rce.py | zjj1002/aws-cloud-cmdb-system | 47982007688e5db1272435891cb654ab11d0d60a | [
"Apache-2.0"
] | 1 | 2022-01-04T13:53:16.000Z | 2022-01-04T13:53:16.000Z | cmdb-compliance/pocsuite/pocs/solr_8.3.1_rce.py | zjj1002/aws-cloud-cmdb-system | 47982007688e5db1272435891cb654ab11d0d60a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
from pocsuite3.api import register_poc
register_poc(TestPOC)
| 45.769231 | 454 | 0.601401 | #!/usr/bin/env python
# coding: utf-8
from urllib.parse import urlparse
from pocsuite3.api import requests as req
from pocsuite3.api import register_poc
from pocsuite3.api import Output, POCBase
from pocsuite3.api import POC_CATEGORY, VUL_TYPE
import json
class TestPOC(POCBase):
vulID = ''
version = '1'
a... | 297 | 0 | 0 | 3,168 | 0 | 0 | 0 | 69 | 133 |
8aba9fbf2780ef07add8c586ccad77d85ba6461e | 4,248 | py | Python | models.py | tobiasbartel/servicium-instance_manager | 74702ab61481df67c06c6dc7dfd435a4b37126e8 | [
"MIT"
] | null | null | null | models.py | tobiasbartel/servicium-instance_manager | 74702ab61481df67c06c6dc7dfd435a4b37126e8 | [
"MIT"
] | null | null | null | models.py | tobiasbartel/servicium-instance_manager | 74702ab61481df67c06c6dc7dfd435a4b37126e8 | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
from django.db import models
from servicecatalog.models import Contact
DEV = 'd'
INTE = 'i'
QA = 'q'
CTEST = 'ct'
PROD = 'p'
ENVIRONMENT_OPTIONS = (
(DEV, 'Development'),
(INTE, 'Integration'),
(QA, 'Quality Assurance'),
(CTEST, 'Customer Test'),
(PROD, 'Pro... | 44.25 | 176 | 0.717279 | from __future__ import unicode_literals
from django.template.defaultfilters import slugify
from django.db import models
from django.core.validators import validate_comma_separated_integer_list
from django.db import models
from servicecatalog.models import STATE, LIVE, ACCESS_DIRECTION, BOTH, PaymentMethod, Module, Co... | 0 | 0 | 0 | 3,530 | 0 | 0 | 0 | 181 | 204 |
9dca130d8e3a1862f62432fa815d0aca8ddc0e4a | 13,258 | py | Python | pipeline/gen_clean_unique_dataset.py | czodrowskilab/Multiprotic-pKa-Processing | 787e071f225f283afd8411acd64c9b8092cabb47 | [
"MIT"
] | 9 | 2020-10-07T10:47:23.000Z | 2022-02-22T11:53:40.000Z | pipeline/gen_clean_unique_dataset.py | czodrowskilab/Multiprotic-pKa-Processing | 787e071f225f283afd8411acd64c9b8092cabb47 | [
"MIT"
] | null | null | null | pipeline/gen_clean_unique_dataset.py | czodrowskilab/Multiprotic-pKa-Processing | 787e071f225f283afd8411acd64c9b8092cabb47 | [
"MIT"
] | 1 | 2022-01-31T00:59:21.000Z | 2022-01-31T00:59:21.000Z | """
This script prepares SDF files which can then be used for machine learning.
This includes sanitizing, filtering molecules with bad functional groups and
unwanted elements, removing salts, filtering by Lipinski's rule of five and
unify different tautomers. OpenEye QUACPAC and ChemAxon Marvin are required.
"""
from ... | 26.947154 | 114 | 0.620757 | """
This script prepares SDF files which can then be used for machine learning.
This includes sanitizing, filtering molecules with bad functional groups and
unwanted elements, removing salts, filtering by Lipinski's rule of five and
unify different tautomers. OpenEye QUACPAC and ChemAxon Marvin are required.
"""
from ... | 4 | 0 | 0 | 0 | 0 | 0 | 0 | -1 | 22 |
48b5da08153f318a7615fc11d4a9567ba8ae4750 | 2,897 | py | Python | pyCode/IUCN_modelmean_deltap50depthav.py | kallisons/CMIP5_p50 | ee8e078720d1a009cfb9355a9cadb07455b674ba | [
"MIT"
] | null | null | null | pyCode/IUCN_modelmean_deltap50depthav.py | kallisons/CMIP5_p50 | ee8e078720d1a009cfb9355a9cadb07455b674ba | [
"MIT"
] | null | null | null | pyCode/IUCN_modelmean_deltap50depthav.py | kallisons/CMIP5_p50 | ee8e078720d1a009cfb9355a9cadb07455b674ba | [
"MIT"
] | 2 | 2017-08-07T00:42:45.000Z | 2017-10-27T21:44:36.000Z | #ipython --pylab
from mpl_toolkits.basemap import Basemap, shiftgrid
from netCDF4 import Dataset
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.mlab as mlab
import pandas
import pylab
Folder = 'results'
species1 = ['Thunnus_obesus', 'Thunnus_albacares', 'Katsuwonus_pelamis', 'Thunnus_thynnus', 'T... | 42.602941 | 135 | 0.674836 | #ipython --pylab
import scipy
from mpl_toolkits.basemap import Basemap, addcyclic, shiftgrid
from netCDF4 import Dataset
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.mlab as mlab
import pandas
import pylab
Folder = 'results'
species1 = ['Thunnus_obesus', 'Thunnus_albacares', 'Katsuwonus_pelamis... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 22 |
55fc3f3d0b0b263b1268920b554408680cd21d63 | 1,506 | py | Python | app/tests/test_state.py | mike-wendt/unicorn-remote | e649c069482446f08b0baf579de05f065ad7ab89 | [
"MIT"
] | 37 | 2017-07-30T16:43:22.000Z | 2021-12-12T09:40:11.000Z | app/tests/test_state.py | kfechter/unicorn-remote | 39466cad9e7420b51ffa11fa7554756a934f2d24 | [
"MIT"
] | 7 | 2017-11-18T19:22:18.000Z | 2021-09-08T15:59:00.000Z | app/tests/test_state.py | kfechter/unicorn-remote | 39466cad9e7420b51ffa11fa7554756a934f2d24 | [
"MIT"
] | 8 | 2018-04-21T05:31:40.000Z | 2020-12-09T19:43:32.000Z |
import app.programs.hd
| 30.12 | 71 | 0.664675 | import unittest
import time
import app.programs.hd
import app.programs.original
from app.state import state, ProgramNotFound
class TestState(unittest.TestCase):
def tearDown(self):
if state._process is not None:
state._process.terminate()
def start_all(self, list):
for name, _ i... | 0 | 0 | 0 | 1,356 | 0 | 0 | 0 | 14 | 111 |
cc82eabd4f2faa5d7e33d0fe9ddf3c80288da94e | 524 | py | Python | cfp/migrations/0015_applicant_company_name.py | WebCampZg/conference-web | 76ccae83924fdcd040d9280db5cf3a249d668606 | [
"BSD-3-Clause"
] | 4 | 2015-03-03T17:48:14.000Z | 2019-02-27T20:28:42.000Z | cfp/migrations/0015_applicant_company_name.py | WebCampZg/conference-web | 76ccae83924fdcd040d9280db5cf3a249d668606 | [
"BSD-3-Clause"
] | 104 | 2015-02-25T18:09:15.000Z | 2019-06-21T10:02:53.000Z | cfp/migrations/0015_applicant_company_name.py | WebCampZg/conference-web | 76ccae83924fdcd040d9280db5cf3a249d668606 | [
"BSD-3-Clause"
] | 9 | 2015-03-01T18:59:14.000Z | 2019-06-10T06:48:45.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.2 on 2017-06-16 09:49
from __future__ import unicode_literals
| 24.952381 | 120 | 0.637405 | # -*- coding: utf-8 -*-
# Generated by Django 1.11.2 on 2017-06-16 09:49
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('cfp', '0014_auto_20170605_1545'),
]
operations = [
migrations.AddField(
... | 0 | 0 | 0 | 345 | 0 | 0 | 0 | 19 | 46 |
012a93c81ad512b403409306470bc0ae46c48bf1 | 3,528 | py | Python | Tensorflow/CAM-VGG.py | Qin-Folks/ADL | a6b8a90d1a6101fbd0a1591357a3b9b563f5c3ea | [
"MIT"
] | 3 | 2019-09-20T03:53:41.000Z | 2020-06-18T03:12:25.000Z | Tensorflow/CAM-VGG.py | truongthanhdat/ADL | 7cc7659693a2e84f4e4370e939604c77be712ca4 | [
"MIT"
] | null | null | null | Tensorflow/CAM-VGG.py | truongthanhdat/ADL | 7cc7659693a2e84f4e4370e939604c77be712ca4 | [
"MIT"
] | 1 | 2019-09-20T03:53:44.000Z | 2019-09-20T03:53:44.000Z | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
# File: main.py
# This code is mainly borrowed
# from the official example codes of tensorpack library.
# https://github.com/ppwwyyxx/tensorpack/tree/master/examples
# Revised by Junsuk Choe <skykite@yonsei.ac.kr>
# Weakly Supervised Object Localization (WSOL) based on VG... | 31.221239 | 77 | 0.652494 | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
# File: main.py
# This code is mainly borrowed
# from the official example codes of tensorpack library.
# https://github.com/ppwwyyxx/tensorpack/tree/master/examples
# Revised by Junsuk Choe <skykite@yonsei.ac.kr>
# Weakly Supervised Object Localization (WSOL) based on VG... | 0 | 0 | 0 | 1,871 | 0 | 0 | 0 | 109 | 467 |
10969b118ad5fe1347fcb992b81dad5fe1e8d043 | 905 | py | Python | ncdc/gentfw.py | akrherz/radcomp | d44459f72891c6e1a92b61488e08422383b000d1 | [
"Apache-2.0"
] | 3 | 2015-04-18T22:23:27.000Z | 2016-05-12T11:24:32.000Z | ncdc/gentfw.py | akrherz/radcomp | d44459f72891c6e1a92b61488e08422383b000d1 | [
"Apache-2.0"
] | 4 | 2016-09-30T15:04:46.000Z | 2022-03-05T13:32:40.000Z | ncdc/gentfw.py | akrherz/radcomp | d44459f72891c6e1a92b61488e08422383b000d1 | [
"Apache-2.0"
] | 4 | 2015-04-18T22:23:57.000Z | 2017-05-07T15:23:37.000Z | import mx.DateTime, sys, pg, random
v = sys.argv[1]
ts = mx.DateTime.strptime(v, "%Y%m%d%H%M")
out = open("n0r%s.tfw" % (v,), "w")
out.write(
""" 0.0100000000000%s
0.00000
0.00000
-0.010000000000000%s
-126.000000
50.0000"""
% (v, random.randint(0, 1000))
)
out.close()
sys.exit(0)
mydb = pg.co... | 22.625 | 128 | 0.583425 | import mx.DateTime, sys, pg, random
v = sys.argv[1]
ts = mx.DateTime.strptime(v, "%Y%m%d%H%M")
out = open("n0r%s.tfw" % (v,), "w")
out.write(
""" 0.0100000000000%s
0.00000
0.00000
-0.010000000000000%s
-126.000000
50.0000"""
% (v, random.randint(0, 1000))
)
out.close()
sys.exit(0)
mydb = pg.co... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
bbdfce4891418159104b900baa64b5d65abee585 | 343 | py | Python | AtCoder/ABC109/B.py | takaaki82/Java-Lessons | c4f11462bf84c091527dde5f25068498bfb2cc49 | [
"MIT"
] | 1 | 2018-11-25T04:15:45.000Z | 2018-11-25T04:15:45.000Z | AtCoder/ABC109/B.py | takaaki82/Java-Lessons | c4f11462bf84c091527dde5f25068498bfb2cc49 | [
"MIT"
] | null | null | null | AtCoder/ABC109/B.py | takaaki82/Java-Lessons | c4f11462bf84c091527dde5f25068498bfb2cc49 | [
"MIT"
] | 2 | 2018-08-08T13:01:14.000Z | 2018-11-25T12:38:36.000Z | N = int(input())
before = ""
all = set()
check = True
for i in range(N):
s = input()
if i == 0:
before = s
all.add(s)
else:
if before[-1] == s[0]:
before = s
all.add(s)
else:
check = False
if check:
print("Yes" if len(all)==N else "No")... | 17.15 | 41 | 0.437318 | N = int(input())
before = ""
all = set()
check = True
for i in range(N):
s = input()
if i == 0:
before = s
all.add(s)
else:
if before[-1] == s[0]:
before = s
all.add(s)
else:
check = False
if check:
print("Yes" if len(all)==N else "No")... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
25e89a9993493a5a34fcce98a0fb635a1eddc9f7 | 13,739 | py | Python | fabfile/utils/storage.py | sunilbasker-jnpr/contrail-fabric-utils | c5855bbc4b0cf64ff98e844a8e2c1c1705bbdf83 | [
"Apache-2.0"
] | null | null | null | fabfile/utils/storage.py | sunilbasker-jnpr/contrail-fabric-utils | c5855bbc4b0cf64ff98e844a8e2c1c1705bbdf83 | [
"Apache-2.0"
] | null | null | null | fabfile/utils/storage.py | sunilbasker-jnpr/contrail-fabric-utils | c5855bbc4b0cf64ff98e844a8e2c1c1705bbdf83 | [
"Apache-2.0"
] | 1 | 2020-08-25T12:48:58.000Z | 2020-08-25T12:48:58.000Z | #end get_storage_data_ip
#end get_storage_host_string
#end get_storage_disk_config
#end get_storage_disk_config
#end get_storage_local_disk_config
#end get_storage_local_disk_config
# NFS config parser
# Eg., nfs configuration. This is for NFS storage support for cinder.
# Cinder can create volumes from the NFS store.... | 44.319355 | 101 | 0.606376 | import os
import sys
from netaddr import *
from fabric.api import *
from fabfile.config import testbed
from fabfile.utils.host import *
from fabfile.utils.cluster import get_all_hostnames
def get_storage_data_ip(host_str):
tgt_ip = None
tgt_gw= None
data_ip_info = getattr(testbed, 'storage_data', None)
... | 0 | 0 | 0 | 0 | 0 | 11,242 | 0 | 34 | 563 |
f18b79a114f6b9f48f50209993bc8afa058988e7 | 62 | py | Python | main.py | grostaco/CoreHDF | f3acf7792e99994a7c1f0a3be797ae873b04a0b6 | [
"MIT"
] | 1 | 2021-03-25T06:00:15.000Z | 2021-03-25T06:00:15.000Z | main.py | grostaco/CoreHDF | f3acf7792e99994a7c1f0a3be797ae873b04a0b6 | [
"MIT"
] | 3 | 2021-03-22T07:58:25.000Z | 2021-03-23T11:06:55.000Z | main.py | grostaco/CoreHDF | f3acf7792e99994a7c1f0a3be797ae873b04a0b6 | [
"MIT"
] | 2 | 2021-03-22T07:54:06.000Z | 2021-03-23T09:09:57.000Z | import uvicorn
import app.main as main
uvicorn.run(main.app)
| 12.4 | 23 | 0.790323 | import uvicorn
import app.main as main
uvicorn.run(main.app)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
65012661bbf6009f8d631412eb219d4d4c3abd7f | 434 | py | Python | setup.py | dominikheinisch/pybitbay | f4dd08e2d6c762f80eaa8d1ff017ee7d6fc89fff | [
"Apache-2.0"
] | null | null | null | setup.py | dominikheinisch/pybitbay | f4dd08e2d6c762f80eaa8d1ff017ee7d6fc89fff | [
"Apache-2.0"
] | null | null | null | setup.py | dominikheinisch/pybitbay | f4dd08e2d6c762f80eaa8d1ff017ee7d6fc89fff | [
"Apache-2.0"
] | null | null | null | from setuptools import setup, find_packages
setup(
name="pybitbay",
version="0.0.1",
description="python api for bitbay cryptocurrency exchange",
author="dominik heinisch",
author_email="dominikheinisch2@gmail.com",
url="https://github.com/dominikheinisch/pybitbay",
license='Apache 2.0',
... | 28.933333 | 64 | 0.700461 | from setuptools import setup, find_packages
setup(
name="pybitbay",
version="0.0.1",
description="python api for bitbay cryptocurrency exchange",
author="dominik heinisch",
author_email="dominikheinisch2@gmail.com",
url="https://github.com/dominikheinisch/pybitbay",
license='Apache 2.0',
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
dbb5ab4b27d9f747f4439423606012598314bf4a | 435 | py | Python | Old Laptop Desktop/Driving Code/Callum-s-Robotics-Code-Risk4-UNCHECKED-/connect.py | CCGSRobotics/testing_code | a963926984bb1abb9a457ea2cf6212d8362f4642 | [
"Apache-2.0"
] | null | null | null | Old Laptop Desktop/Driving Code/Callum-s-Robotics-Code-Risk4-UNCHECKED-/connect.py | CCGSRobotics/testing_code | a963926984bb1abb9a457ea2cf6212d8362f4642 | [
"Apache-2.0"
] | 1 | 2017-06-14T11:08:38.000Z | 2017-06-14T11:08:38.000Z | Old Laptop Desktop/Driving Code/Callum-s-Robotics-Code-Risk4-UNCHECKED-/connect.py | CCGSRobotics/Archive-Code | a963926984bb1abb9a457ea2cf6212d8362f4642 | [
"Apache-2.0"
] | null | null | null | print("connect setup")
import socket
HOST, PORT = "192.168.100.1",9999 #"169.254.44.240", 9999 #
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
print("trying to establish a connection")
try:
sock.connect((HOST, PORT))
print("connect ready")
except:
print("CONNECTION FAILED.")
print("have you ... | 25.588235 | 59 | 0.691954 | print("connect setup")
import socket
HOST, PORT = "192.168.100.1",9999 #"169.254.44.240", 9999 #
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
print("trying to establish a connection")
try:
sock.connect((HOST, PORT))
print("connect ready")
except:
print("CONNECTION FAILED.")
print("have you ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
332f36a9d8cba0c2f5f541e19bbd22331bdc1acc | 1,427 | py | Python | io/generate_large_graph.py | murphymatt/CSC213-Final-Project | 5b566a5e115505e85c1275522e13b1fce2fb044b | [
"BSD-3-Clause"
] | null | null | null | io/generate_large_graph.py | murphymatt/CSC213-Final-Project | 5b566a5e115505e85c1275522e13b1fce2fb044b | [
"BSD-3-Clause"
] | null | null | null | io/generate_large_graph.py | murphymatt/CSC213-Final-Project | 5b566a5e115505e85c1275522e13b1fce2fb044b | [
"BSD-3-Clause"
] | null | null | null |
N_CLASSES = 200
N_STUDENTS = 1000
# create a graph-file consisting of 200 courses and 1000 students
# edges are randomly generated between students and classes
classes = map(lambda ind : "class " + str(ind), range(N_CLASSES))
students = map(lambda ind : "student " + str(ind), range(N_STUDENTS))
sparse_fname = "large... | 33.97619 | 69 | 0.683952 | from random import randint, sample
from functools import reduce
N_CLASSES = 200
N_STUDENTS = 1000
def choose_classes_vary(classes, lower, upper):
num_classes = randint(lower, upper)
inds = sample(range(N_CLASSES), num_classes)
return [classes[ind] for ind in inds]
def choose_classes(classes, num_classes)... | 0 | 0 | 0 | 0 | 0 | 750 | 0 | 20 | 136 |
6a7564ebefcbde1ca3b4ea815c17bf732ba99a71 | 2,827 | py | Python | screens.py | vida18electronic/barcode | 265318d893a9dabc71231424252b2476926577ec | [
"Apache-2.0"
] | null | null | null | screens.py | vida18electronic/barcode | 265318d893a9dabc71231424252b2476926577ec | [
"Apache-2.0"
] | null | null | null | screens.py | vida18electronic/barcode | 265318d893a9dabc71231424252b2476926577ec | [
"Apache-2.0"
] | null | null | null |
# Load the driver and set it to "display"
# If you use something from the driver library use the "display." prefix first
#display = lcddriver.lcd()
# Main body of code
# display.lcd_clear()
#try:
# while True:
#
# time.sleep(0.5)
# twinkle([3,4])
# time.sleep(0.5... | 30.728261 | 104 | 0.510789 | import lcddriver
import time
import array as arr
# Load the driver and set it to "display"
# If you use something from the driver library use the "display." prefix first
#display = lcddriver.lcd()
# Main body of code
def scanbloque(bloque,display):
# display.lcd_clear()
bq=" "+str(bloque)+" ... | 0 | 0 | 0 | 0 | 0 | 2,287 | 0 | -17 | 157 |
7107becc93b7c9f99ea14e0621b654d6a5972c0e | 5,307 | py | Python | util/auth/google_bucket_auth.py | rantwijk/starthinker | fd2d70e39f05cb29afc65b8a78ea38441e1e2b9a | [
"Apache-2.0"
] | null | null | null | util/auth/google_bucket_auth.py | rantwijk/starthinker | fd2d70e39f05cb29afc65b8a78ea38441e1e2b9a | [
"Apache-2.0"
] | 204 | 2019-08-29T04:58:17.000Z | 2021-07-30T04:27:07.000Z | util/auth/google_bucket_auth.py | rantwijk/starthinker | fd2d70e39f05cb29afc65b8a78ea38441e1e2b9a | [
"Apache-2.0"
] | null | null | null | ###########################################################################
#
# Copyright 2017 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/... | 33.588608 | 137 | 0.724515 | ###########################################################################
#
# Copyright 2017 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/... | 0 | 1,832 | 0 | 1,047 | 0 | 909 | 0 | 226 | 515 |
d8052c87747897671826f747517fa49e5f15d9a2 | 852 | py | Python | Backend/foodieshoot_api/foodieshoot/migrations/0003_apks.py | eamorgado/FoodieShoot | 87172bc295edd93aa0448bc14ce85b2710dd4aab | [
"BSD-2-Clause"
] | null | null | null | Backend/foodieshoot_api/foodieshoot/migrations/0003_apks.py | eamorgado/FoodieShoot | 87172bc295edd93aa0448bc14ce85b2710dd4aab | [
"BSD-2-Clause"
] | 10 | 2020-06-06T01:56:57.000Z | 2022-03-12T00:31:25.000Z | Backend/foodieshoot_api/foodieshoot/migrations/0003_apks.py | eamorgado/FoodieShoot | 87172bc295edd93aa0448bc14ce85b2710dd4aab | [
"BSD-2-Clause"
] | 1 | 2020-07-25T09:19:37.000Z | 2020-07-25T09:19:37.000Z | # Generated by Django 2.2.6 on 2020-04-06 15:53
| 30.428571 | 119 | 0.602113 | # Generated by Django 2.2.6 on 2020-04-06 15:53
from django.db import migrations, models
import django.utils.timezone
import foodieshoot.models
class Migration(migrations.Migration):
dependencies = [
('foodieshoot', '0002_auto_20200212_1925'),
]
operations = [
migrations.CreateModel(
... | 0 | 0 | 0 | 683 | 0 | 0 | 0 | 30 | 90 |
a30ef07f709ef7501475959ff5299b699d476732 | 563 | py | Python | fluidlab/objects/boards/PowerDAQ/try_digital.py | fluiddyn/fluidlab | 77e7ae3129788089814e38eba93802026a07fcf6 | [
"CECILL-B"
] | 4 | 2020-01-19T04:12:12.000Z | 2021-11-09T08:30:25.000Z | fluidlab/objects/boards/PowerDAQ/try_digital.py | fluiddyn/fluidlab | 77e7ae3129788089814e38eba93802026a07fcf6 | [
"CECILL-B"
] | null | null | null | fluidlab/objects/boards/PowerDAQ/try_digital.py | fluiddyn/fluidlab | 77e7ae3129788089814e38eba93802026a07fcf6 | [
"CECILL-B"
] | null | null | null | """
This script tests the library powerdaq (minimal API from python).
output 0 should be plugged in input 0.
"""
from __future__ import division, print_function
import time
from fluidlab.powerdaq import PowerDAQBoard
from fluidlab.timer import Timer
SAVE_FIG = 0
period = 2 # (s)
# initialize the board
board = P... | 17.060606 | 65 | 0.742451 | """
This script tests the library powerdaq (minimal API from python).
output 0 should be plugged in input 0.
"""
from __future__ import division, print_function
import numpy as np
import time
from fluidlab.powerdaq import PowerDAQBoard
from fluidlab.timer import Timer
from fluidlab.createfigs import CreateFigs
SA... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 68 |
864e7cb81aa91e4a44d61c93729cbf3ea7a7b3a5 | 3,534 | py | Python | project/urls.py | AristodamusAdairs/ATM-Software | ef3d8875a28bc611d9c3ba5c8e53e05e1306eac9 | [
"MIT"
] | null | null | null | project/urls.py | AristodamusAdairs/ATM-Software | ef3d8875a28bc611d9c3ba5c8e53e05e1306eac9 | [
"MIT"
] | null | null | null | project/urls.py | AristodamusAdairs/ATM-Software | ef3d8875a28bc611d9c3ba5c8e53e05e1306eac9 | [
"MIT"
] | null | null | null | from django.conf.urls.defaults import patterns, include, url
from django.contrib.staticfiles.urls import staticfiles_urlpatterns
from tastypie.api import Api
from django.contrib import admin
admin.autodiscover()
v1_api = Api(api_name='v1')
v1_api.register(CashWithdrawalResource())
v1_api.register(CashTransferResource... | 60.931034 | 118 | 0.749859 | from django.conf.urls.defaults import patterns, include, url
from django.contrib.staticfiles.urls import staticfiles_urlpatterns
from version1.api import *
from tastypie.api import Api
from django.contrib import admin
admin.autodiscover()
v1_api = Api(api_name='v1')
v1_api.register(CashWithdrawalResource())
v1_api.re... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 22 |
4c165848a2624b59b30d2d62a7335d0197fe80e2 | 294 | py | Python | contact/models.py | rbed/DjangoOne | dcd40ef0e24b6964d0cb2903f8d43d0939261107 | [
"MIT"
] | null | null | null | contact/models.py | rbed/DjangoOne | dcd40ef0e24b6964d0cb2903f8d43d0939261107 | [
"MIT"
] | null | null | null | contact/models.py | rbed/DjangoOne | dcd40ef0e24b6964d0cb2903f8d43d0939261107 | [
"MIT"
] | null | null | null | #coding: utf-8
# Create your models here. | 24.5 | 59 | 0.697279 | #coding: utf-8
from django.db import models
# Create your models here.
class Message(models.Model):
name = models.CharField(max_length=250)
email = models.EmailField()
message = models.TextField()
def __str__(self):
return "message from {name}".format(name=self.name) | 0 | 0 | 0 | 200 | 0 | 0 | 0 | 7 | 45 |