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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1cb040e596b26589cbb11a733ba1ebdffd781115 | 2,400 | py | Python | cohesity_management_sdk/models/nfs_connection.py | nick6655/management-sdk-python | 88e792cb83e5c24a22af495b220c145d0c45841d | [
"Apache-2.0"
] | null | null | null | cohesity_management_sdk/models/nfs_connection.py | nick6655/management-sdk-python | 88e792cb83e5c24a22af495b220c145d0c45841d | [
"Apache-2.0"
] | null | null | null | cohesity_management_sdk/models/nfs_connection.py | nick6655/management-sdk-python | 88e792cb83e5c24a22af495b220c145d0c45841d | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2021 Cohesity Inc.
| 30.379747 | 81 | 0.588333 | # -*- coding: utf-8 -*-
# Copyright 2021 Cohesity Inc.
class NfsConnection(object):
"""Implementation of the 'NfsConnection' model.
:TODO Type description here.
Attributes:
client_ip (string): Information of a Universal Data
Adapter cluster, only valid for an entity of view_name kClu... | 0 | 967 | 0 | 1,353 | 0 | 0 | 0 | 0 | 23 |
9599f3ef46405278aa67da39176eb1314ae4583e | 12,783 | py | Python | modules/windows_jumplist/JumpListParser.py | naaya17/carpe | fa2e3cfebe20f8839c985e5b9b78b538800172a1 | [
"Apache-2.0"
] | 56 | 2019-02-07T06:21:45.000Z | 2022-03-21T08:19:24.000Z | modules/windows_jumplist/JumpListParser.py | naaya17/carpe | fa2e3cfebe20f8839c985e5b9b78b538800172a1 | [
"Apache-2.0"
] | 5 | 2020-05-25T17:29:00.000Z | 2021-12-13T20:49:08.000Z | modules/windows_jumplist/JumpListParser.py | naaya17/carpe | fa2e3cfebe20f8839c985e5b9b78b538800172a1 | [
"Apache-2.0"
] | 31 | 2019-03-13T10:23:49.000Z | 2021-11-04T12:14:58.000Z | import os.path
def split_filename(fn):
""" ['', '', ''] . """
v = os.path.splitext(fn)
fileext = v[1]
v = os.path.split(v[0])
if (fileext == '') and (len(v[1]) > 0) and (v[1][0] == '.'):
v = list(v)
fileext = v[1]
v[1] = ''
return [v[0], v[1], fileext]
def get_file... | 42.327815 | 132 | 0.509192 | import os.path, sys
from modules.windows_jumplist.consts import *
from ctypes import *
from modules.windows_jumplist.lib.delphi import *
from modules.windows_jumplist.lib.yjSysUtils import *
from modules.windows_jumplist.lib.yjDateTime import *
from modules.windows_jumplist.LNKFileParser import TLNKFileParser
from mod... | 225 | 0 | 0 | 9,298 | 0 | 1,589 | 0 | 229 | 331 |
bb59e61d09ed7c1f58341c38fc5c90691b4f1d4e | 774 | py | Python | mimodata.py | theignorantzen/VLC-Pi | 66f50d9393429c55716c4c036240c44a4e601a98 | [
"MIT"
] | null | null | null | mimodata.py | theignorantzen/VLC-Pi | 66f50d9393429c55716c4c036240c44a4e601a98 | [
"MIT"
] | null | null | null | mimodata.py | theignorantzen/VLC-Pi | 66f50d9393429c55716c4c036240c44a4e601a98 | [
"MIT"
] | null | null | null | import RPi.GPIO as GPIO
import time
GPIO.setmode(GPIO.BCM)
GPIO.setup(12, GPIO.OUT)
GPIO.setup(16, GPIO.OUT)
GPIO.setup(5, GPIO.OUT)
GPIO.setup(6, GPIO.OUT)
GPIO.setup(13, GPIO.OUT)
GPIO.setup(19, GPIO.OUT)
pin = [12, 16, 5, 6, 13, 19]
k = 0
st="110101011010111"
cols = 6
rows = len(st)/3
arr = [[0]*cols]*rows
for ... | 18 | 40 | 0.564599 | import RPi.GPIO as GPIO
import binascii
import time
GPIO.setmode(GPIO.BCM)
GPIO.setup(12, GPIO.OUT)
GPIO.setup(16, GPIO.OUT)
GPIO.setup(5, GPIO.OUT)
GPIO.setup(6, GPIO.OUT)
GPIO.setup(13, GPIO.OUT)
GPIO.setup(19, GPIO.OUT)
pin = [12, 16, 5, 6, 13, 19]
k = 0
st="110101011010111"
cols = 6
rows = len(st)/3
arr = [[0]*... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -6 | 22 |
42ae96f4a947574eed72fb622a55bbd38b1b9cc0 | 3,589 | py | Python | code_fragment_generator/tcp_api_generator.py | Longxr/python-data-process | f5f8c2c89b449b76dde31d13c6cabb6b97b0023f | [
"MIT"
] | null | null | null | code_fragment_generator/tcp_api_generator.py | Longxr/python-data-process | f5f8c2c89b449b76dde31d13c6cabb6b97b0023f | [
"MIT"
] | null | null | null | code_fragment_generator/tcp_api_generator.py | Longxr/python-data-process | f5f8c2c89b449b76dde31d13c6cabb6b97b0023f | [
"MIT"
] | null | null | null | # coding=utf-8
import os
import string
from string import Template
if __name__ == '__main__':
root_dir = os.path.dirname(os.path.abspath(__file__))
input_file = open(os.path.join(root_dir, 'input.cpp'), 'r', encoding='gb18030', errors='ignore')
out_file = open(os.path.join(root_dir, 'output.cpp'), 'w', e... | 32.333333 | 164 | 0.676512 | # coding=utf-8
import os
import re
import string
from string import Template
def fun_replace(str):
str1 = re.sub(r'[^\w\s]','', str)
return str1.strip()
def fun_get_attri(line):
line_list = line.split('//')
comment = ''
if len(line_list) > 1:
comment = '//' + line_list[1]
line_list ... | 6 | 0 | 0 | 0 | 0 | 593 | 0 | -12 | 68 |
35b5028184a8de2f02ce4af30620f4dde17fa65e | 2,512 | py | Python | DeeProtein/scripts/extract_targets.py | juzb/DeeProtein | 487694a24abdb4656499111c8a8904dfcb1d98ab | [
"MIT"
] | 12 | 2019-02-21T14:09:13.000Z | 2021-03-05T02:02:21.000Z | DeeProtein/scripts/extract_targets.py | juzb/DeeProtein | 487694a24abdb4656499111c8a8904dfcb1d98ab | [
"MIT"
] | null | null | null | DeeProtein/scripts/extract_targets.py | juzb/DeeProtein | 487694a24abdb4656499111c8a8904dfcb1d98ab | [
"MIT"
] | 5 | 2019-05-15T05:37:41.000Z | 2021-09-29T12:20:00.000Z | import pandas as pd
import sys
import os
deep_go_data = sys.argv[1]
dataset_path_in = sys.argv[2]
dataset_path_out = sys.argv[3]
go_file_out = sys.argv[4]
df = pd.read_pickle(deep_go_data)
targets = list(df.targets)
gos = list(df.gos)
go_freqs = {}
target2go = dict(zip(targets, gos))
target_path = os.path.join(dat... | 35.380282 | 95 | 0.501194 | import pandas as pd
import sys
import os
deep_go_data = sys.argv[1]
dataset_path_in = sys.argv[2]
dataset_path_out = sys.argv[3]
go_file_out = sys.argv[4]
df = pd.read_pickle(deep_go_data)
targets = list(df.targets)
gos = list(df.gos)
go_freqs = {}
target2go = dict(zip(targets, gos))
target_path = os.path.join(dat... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a445050476ee2d8a028886e92dc18e1d0a2333df | 717 | py | Python | getImage.py | tzuhan1106/Crawler_Of_Cosmetic | 2094388b248f269e787eeb90c01679735cc1e58c | [
"MIT"
] | 1 | 2016-04-04T09:42:47.000Z | 2016-04-04T09:42:47.000Z | getImage.py | tzuhan1106/Crawler_Of_Cosmetic | 2094388b248f269e787eeb90c01679735cc1e58c | [
"MIT"
] | null | null | null | getImage.py | tzuhan1106/Crawler_Of_Cosmetic | 2094388b248f269e787eeb90c01679735cc1e58c | [
"MIT"
] | null | null | null | import requests
from bs4 import BeautifulSoup
import shutil
import os
try:
os.chdir('img')
#means cd path
except:
print('path error')
imageUrlPattern = 'http://www.watsons.com.tw'
res =requests.get('http://www.watsons.com.tw/%E7%86%B1%E9%8A%B7%E5%95%86%E5%93%81/c/bestSeller?q=:igcBestSeller:category:1041&pa... | 28.68 | 164 | 0.641562 | import requests, json
from bs4 import BeautifulSoup
import shutil
import os
try:
os.chdir('img')
#means cd path
except:
print('path error')
imageUrlPattern = 'http://www.watsons.com.tw'
res =requests.get('http://www.watsons.com.tw/%E7%86%B1%E9%8A%B7%E5%95%86%E5%93%81/c/bestSeller?q=:igcBestSeller:category:1... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 |
321a802ba08a82beb1f2f48347ea60bfd848d06e | 11,155 | py | Python | pyatv/mrp/__init__.py | SylvainCecchetto/pyatv | b5386440ce6c170219975a17d6b6561026bfd790 | [
"MIT"
] | null | null | null | pyatv/mrp/__init__.py | SylvainCecchetto/pyatv | b5386440ce6c170219975a17d6b6561026bfd790 | [
"MIT"
] | null | null | null | pyatv/mrp/__init__.py | SylvainCecchetto/pyatv | b5386440ce6c170219975a17d6b6561026bfd790 | [
"MIT"
] | null | null | null | """Implementation of the MediaRemoteTV Protocol used by ATV4 and later."""
import logging
_LOGGER = logging.getLogger(__name__)
# Source: https://github.com/Daij-Djan/DDHidLib/blob/master/usb_hid_usages.txt
_KEY_LOOKUP = {
# name: [usage_page, usage, button hold time (seconds)]
'up': [1, 0x8C, 0],
'down... | 30.900277 | 78 | 0.622143 | """Implementation of the MediaRemoteTV Protocol used by ATV4 and later."""
import logging
import asyncio
from datetime import datetime
from pyatv import (const, exceptions)
from pyatv.mrp import (messages, protobuf)
from pyatv.mrp.srp import SRPAuthHandler
from pyatv.mrp.connection import MrpConnection
from pyatv.mrp... | 0 | 3,045 | 1,090 | 5,653 | 0 | 0 | 0 | 273 | 336 |
428811f65bf037cde24824501010272b928b75b5 | 1,419 | py | Python | web/models/mysql.py | zhengbigbig/python_demo | 29b62bea9e5abaa02e51744a926f722d1b99ec8d | [
"MIT"
] | null | null | null | web/models/mysql.py | zhengbigbig/python_demo | 29b62bea9e5abaa02e51744a926f722d1b99ec8d | [
"MIT"
] | null | null | null | web/models/mysql.py | zhengbigbig/python_demo | 29b62bea9e5abaa02e51744a926f722d1b99ec8d | [
"MIT"
] | null | null | null |
db = MySQLDB(user='root', password='root', db='test')
| 23.65 | 90 | 0.677237 | import pymysql
import logging
class MySQLDB(object):
def __init__(self, host='localhost', port=3306, user='root', password='root', db='test'):
# cursorclass=pymysql.cursors.DictCursor ๆฐๆฎๅบๆฅ่ฏข่ฟๅdict --> ้ป่ฎค๏ผtuple
self.conn = pymysql.connect(
host=host, port=port, user=user, password=password, db=db,
charset='u... | 96 | 0 | 0 | 1,277 | 0 | 0 | 0 | -14 | 67 |
d8a7faef64fcbcfb31c2692058def68f00243918 | 9,244 | py | Python | ark/utils/plot_utils.py | angelolab/ark-analysis | 5b248e5413c383bf03fac53d8ae9180fd2310222 | [
"Apache-2.0"
] | 17 | 2020-10-15T20:50:12.000Z | 2022-01-27T19:24:40.000Z | ark/utils/plot_utils.py | angelolab/ark-analysis | 5b248e5413c383bf03fac53d8ae9180fd2310222 | [
"Apache-2.0"
] | 309 | 2020-08-14T16:21:36.000Z | 2022-03-24T22:22:53.000Z | ark/utils/plot_utils.py | angelolab/ark-analysis | 5b248e5413c383bf03fac53d8ae9180fd2310222 | [
"Apache-2.0"
] | 4 | 2020-10-12T21:04:55.000Z | 2021-07-06T09:42:49.000Z | import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable
import xarray as xr
from skimage.segmentation import find_boundaries
from skimage.exposure import rescale_intensity
from ark.utils import load_utils
from ark.utils import misc_utils
# plotting functions
from ar... | 44.442308 | 96 | 0.583514 | import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable
import xarray as xr
from skimage.segmentation import find_boundaries
from skimage.exposure import rescale_intensity
from ark.utils import load_utils
from ark.utils import misc_utils
# plotting functions
from ar... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e923430b6a6eb327b695a54846e7a3076c5d0662 | 1,542 | py | Python | src/trainer/sr/base.py | sanghyun-son/srwarp | d7cc08db5ba5ec9103f1813f76d1da825afe1a5b | [
"MIT"
] | 82 | 2021-04-22T09:22:46.000Z | 2022-03-30T03:06:47.000Z | src/trainer/sr/base.py | sanghyun-son/srwarp | d7cc08db5ba5ec9103f1813f76d1da825afe1a5b | [
"MIT"
] | 3 | 2021-08-04T15:40:52.000Z | 2022-02-21T10:10:52.000Z | src/trainer/sr/base.py | sanghyun-son/srwarp | d7cc08db5ba5ec9103f1813f76d1da825afe1a5b | [
"MIT"
] | 11 | 2021-05-16T14:54:33.000Z | 2022-02-18T08:25:37.000Z | from trainer.gan import dcgan
_parent_class = dcgan.GANTrainer
| 27.052632 | 63 | 0.479248 | from trainer.gan import dcgan
from misc.gpu_utils import parallel_forward as pforward
from model.utils import forward_utils as futils
_parent_class = dcgan.GANTrainer
class SRTrainer(_parent_class):
def __init__(self, *args, x8=False, quads=False, **kwargs):
super().__init__(*args, **kwargs)
self... | 0 | 152 | 0 | 1,199 | 0 | 0 | 0 | 60 | 67 |
132727ab48ce64a42309c69292ca835404984f0d | 9,500 | py | Python | soft/compiler.ctuning-cc/customize.py | G4V/ck-env | b882480b00b9dbd88f15eef58440772e09414f64 | [
"BSD-3-Clause"
] | 80 | 2015-03-03T14:27:39.000Z | 2022-01-04T15:37:01.000Z | soft/compiler.ctuning-cc/customize.py | G4V/ck-env | b882480b00b9dbd88f15eef58440772e09414f64 | [
"BSD-3-Clause"
] | 78 | 2016-02-20T07:47:05.000Z | 2021-05-01T13:33:31.000Z | soft/compiler.ctuning-cc/customize.py | G4V/ck-env | b882480b00b9dbd88f15eef58440772e09414f64 | [
"BSD-3-Clause"
] | 22 | 2016-07-29T07:25:11.000Z | 2021-02-08T16:18:26.000Z | #
# Collective Knowledge (individual environment - setup)
#
# See CK LICENSE.txt for licensing details
# See CK COPYRIGHT.txt for copyright details
#
# Developer: Grigori Fursin, Grigori.Fursin@cTuning.org, http://fursin.net
#
##############################################################################
# setup envir... | 33.333333 | 116 | 0.572842 | #
# Collective Knowledge (individual environment - setup)
#
# See CK LICENSE.txt for licensing details
# See CK COPYRIGHT.txt for copyright details
#
# Developer: Grigori Fursin, Grigori.Fursin@cTuning.org, http://fursin.net
#
##############################################################################
# setup envir... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
292b05d1269b68175aa7424e7be5c81a7dc02868 | 34,115 | py | Python | scripts/external.py | tth030/SM_ESR_isostasy | fbd2ac586e8e31dd18a0988181514bc2fff7f08a | [
"MIT"
] | null | null | null | scripts/external.py | tth030/SM_ESR_isostasy | fbd2ac586e8e31dd18a0988181514bc2fff7f08a | [
"MIT"
] | null | null | null | scripts/external.py | tth030/SM_ESR_isostasy | fbd2ac586e8e31dd18a0988181514bc2fff7f08a | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import numpy as np
import colorsys
import matplotlib.pyplot as plt
from matplotlib.ticker import (MultipleLocator, ScalarFormatter)
import os
import pyproj
import pickle
from statsmodels.stats.weightstats import DescrStatsW
geod = pyproj.Geod(ellps='WGS84')
def gmtColormap(fileName,GMTPath = No... | 42.378882 | 179 | 0.563535 | #!/usr/bin/env python
import numpy as np
import colorsys
import matplotlib.pyplot as plt
from matplotlib.ticker import (MultipleLocator, FormatStrFormatter,
AutoMinorLocator,ScalarFormatter)
import netCDF4
import os
import pyproj
import pickle
from statsmodels.stats.weightstats import De... | 0 | 0 | 0 | 0 | 0 | 12,773 | 0 | 86 | 298 |
7efc8c4fae98330e9b5cd2edb68a5c99c316055a | 1,601 | py | Python | connection_ss_simple.py | Liuzhe30/pygcn | ac13e8873b9eb7360ac88a88afb160db652e4699 | [
"MIT"
] | null | null | null | connection_ss_simple.py | Liuzhe30/pygcn | ac13e8873b9eb7360ac88a88afb160db652e4699 | [
"MIT"
] | null | null | null | connection_ss_simple.py | Liuzhe30/pygcn | ac13e8873b9eb7360ac88a88afb160db652e4699 | [
"MIT"
] | null | null | null | import numpy as np
content = np.loadtxt('/data/rasa.content')
with open('/data/join.fasta') as fasta:
with open('/data/rasa.cites', 'a+') as w:
line = fasta.readline()
num = 0
while line:
if(line[0] == '>'):
line = fasta.readline()
continue
... | 39.04878 | 134 | 0.381012 | import numpy as np
content = np.loadtxt('/data/rasa.content')
with open('/data/join.fasta') as fasta:
with open('/data/rasa.cites', 'a+') as w:
line = fasta.readline()
num = 0
while line:
if(line[0] == '>'):
line = fasta.readline()
continue
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
81cccc9193a552e5305de4736e9b47ff1daf7cbb | 431 | py | Python | cpp/apps/MolecularEditor/py/gen_linkers.py | ProkopHapala/SimpleSimulationEngine | 240f9b7e85b3a6eda7a27dc15fe3f7b8c08774c5 | [
"MIT"
] | 26 | 2016-12-04T04:45:12.000Z | 2022-03-24T09:39:28.000Z | cpp/apps/MolecularEditor/py/gen_linkers.py | Aki78/FlightAI | 9c5480f2392c9c89b9fee4902db0c4cde5323a6c | [
"MIT"
] | null | null | null | cpp/apps/MolecularEditor/py/gen_linkers.py | Aki78/FlightAI | 9c5480f2392c9c89b9fee4902db0c4cde5323a6c | [
"MIT"
] | 2 | 2019-02-09T12:31:06.000Z | 2019-04-28T02:24:50.000Z | #!/usr/bin/python
import numpy as np
#fin = open("H56.bas",r)
bas=np.genfromtxt("H56.bas", skip_header=1)
#bas=bas[:5]
#print( bas )
k0=30.0
l0=0.0
mol0=0
pos0 = np.array([0.0,0.0,0.0])
fout = open("linkers.ini",'w')
fout.write("%i\n" %(len(bas)) )
for i,l in enumerate( bas ):
pos = l[1:]
fout.write("%i %i ... | 15.962963 | 115 | 0.561485 | #!/usr/bin/python
import numpy as np
#fin = open("H56.bas",r)
bas=np.genfromtxt("H56.bas", skip_header=1)
#bas=bas[:5]
#print( bas )
k0=30.0
l0=0.0
mol0=0
pos0 = np.array([0.0,0.0,0.0])
fout = open("linkers.ini",'w')
fout.write("%i\n" %(len(bas)) )
for i,l in enumerate( bas ):
pos = l[1:]
fout.write("%i %i ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
083025e9c10a03d7077ec680c49de682ca96c2ac | 975 | py | Python | reconstruct_itinerary.py | pranavdave893/Leetcode | 1f30ea37af7b60585d168b15d9397143f53c92a1 | [
"MIT"
] | null | null | null | reconstruct_itinerary.py | pranavdave893/Leetcode | 1f30ea37af7b60585d168b15d9397143f53c92a1 | [
"MIT"
] | null | null | null | reconstruct_itinerary.py | pranavdave893/Leetcode | 1f30ea37af7b60585d168b15d9397143f53c92a1 | [
"MIT"
] | null | null | null |
abc = Solution()
print (abc.findItinerary([["JFK","KUL"],["JFK","NRT"],["NRT","JFK"]])) # ["JFK","NRT","JFK","KUL"]
print (abc.findItinerary([["MUC", "LHR"], ["JFK", "MUC"], ["SFO", "SJC"], ["LHR", "SFO"]]))
print (abc.findItinerary([["JFK","SFO"],["JFK","ATL"],["SFO","ATL"],["ATL","JFK"],["ATL","SFO"]])) | 30.46875 | 98 | 0.493333 | from collections import defaultdict
class Solution(object):
def findItinerary(self, tickets):
"""
:type tickets: List[List[str]]
:rtype: List[str]
"""
if not tickets: return []
tickets.sort(key=lambda x:x[1])
graph = defaultdict(list)
for x,... | 0 | 0 | 0 | 609 | 0 | 0 | 0 | 14 | 45 |
afd755dfee7d3d7bac1e03b8b5df69a6f5aad4ee | 2,906 | py | Python | RoadCrackSegmentation/train.py | ForrestPi/DefectDetection | 7e999335ffbd50519cdfaba7de0d6bfa306a579a | [
"Unlicense"
] | 4 | 2020-06-03T08:10:13.000Z | 2021-06-11T09:46:48.000Z | RoadCrackSegmentation/train.py | ForrestPi/DefectDetection | 7e999335ffbd50519cdfaba7de0d6bfa306a579a | [
"Unlicense"
] | null | null | null | RoadCrackSegmentation/train.py | ForrestPi/DefectDetection | 7e999335ffbd50519cdfaba7de0d6bfa306a579a | [
"Unlicense"
] | 1 | 2020-04-14T08:28:04.000Z | 2020-04-14T08:28:04.000Z | import argparse, glob, os
from keras.callbacks import ModelCheckpoint, ReduceLROnPlateau
from keras.optimizers import Adam
import data_loader
from net.Unet import Net
# from net.GCUnet import Net
os.environ["CUDA_VISIBLE_DEVICES"] = "3"
parser = argparse.ArgumentParser()
parser.add_argument("--train_images", type=str... | 38.236842 | 131 | 0.73916 | import argparse, glob,os
from keras.callbacks import ModelCheckpoint, LearningRateScheduler, EarlyStopping, ReduceLROnPlateau
from keras.optimizers import Adam
import data_loader
from metrics import *
from net.Unet import Net
# from net.GCUnet import Net
os.environ["CUDA_VISIBLE_DEVICES"] = "3"
parser = argparse.Argu... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 22 |
caa97c1dcca054cf4bc1742ac91c84392b651a86 | 476 | py | Python | 5th/date_time.py | byplacebo/introduction-to-programming-with-python_kor | 73e2b023c30f0d70006540371b547e1ba5d020ff | [
"MIT"
] | null | null | null | 5th/date_time.py | byplacebo/introduction-to-programming-with-python_kor | 73e2b023c30f0d70006540371b547e1ba5d020ff | [
"MIT"
] | null | null | null | 5th/date_time.py | byplacebo/introduction-to-programming-with-python_kor | 73e2b023c30f0d70006540371b547e1ba5d020ff | [
"MIT"
] | null | null | null | import datetime
print(datetime.date.today())
today = datetime.date.today()
print(today)
print(today.year)
print(today.month)
print(today.day)
print(today.strftime("%d %b %Y"))
print(today.strftime("%A %B %y"))
print(today.strftime("Please attend out event %A, %B %d in the year %Y"))
userInput = input("Please enter ... | 22.666667 | 73 | 0.712185 | import datetime
print(datetime.date.today())
today = datetime.date.today()
print(today)
print(today.year)
print(today.month)
print(today.day)
print(today.strftime("%d %b %Y"))
print(today.strftime("%A %B %y"))
print(today.strftime("Please attend out event %A, %B %d in the year %Y"))
userInput = input("Please enter ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4c4d5fd83018f166f6ed697aab80a4fea008d871 | 7,005 | py | Python | zobs/ross/hf_precip_all.py | NMTHydro/Recharge | bbc1a05add92064acffeffb19f04e370b99a7918 | [
"Apache-2.0"
] | 7 | 2016-08-30T15:18:11.000Z | 2021-08-22T00:28:10.000Z | zobs/ross/hf_precip_all.py | dgketchum/etrm | f74f5771fbc6ba5750a790e384eac422b598325a | [
"Apache-2.0"
] | 2 | 2016-06-08T06:41:45.000Z | 2016-06-23T20:47:26.000Z | zobs/ross/hf_precip_all.py | dgketchum/etrm | f74f5771fbc6ba5750a790e384eac422b598325a | [
"Apache-2.0"
] | 1 | 2018-09-18T10:38:08.000Z | 2018-09-18T10:38:08.000Z | # ===============================================================================
# Copyright 2016 ross
#
# 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/LICE... | 42.97546 | 116 | 0.47666 | # ===============================================================================
# Copyright 2016 ross
#
# 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/LICE... | 0 | 0 | 0 | 0 | 0 | 5,499 | 0 | 27 | 133 |
9dad5462e0f34fe2372c1417e1e6437ba154dbda | 115 | py | Python | python/setup.py | brkyvz/test-python | 73ca100915542cdde9aab2bdb97d1f37dc107249 | [
"Apache-2.0"
] | 892 | 2016-02-13T19:33:07.000Z | 2022-03-29T09:49:49.000Z | graphframes-dist/graphframes-0.4.0-spark2.1-s_2.11/python/setup.py | thuongdinh-agilityio/docker-spark-anaconda | 79834649704e94678752aef6e34b47b649c26349 | [
"MIT"
] | 380 | 2016-02-03T23:10:21.000Z | 2022-02-24T05:52:31.000Z | graphframes-dist/graphframes-0.4.0-spark2.1-s_2.11/python/setup.py | thuongdinh-agilityio/docker-spark-anaconda | 79834649704e94678752aef6e34b47b649c26349 | [
"MIT"
] | 250 | 2016-02-03T00:02:52.000Z | 2022-03-28T08:46:07.000Z | # Your python setup file. An example can be found at:
# https://github.com/pypa/sampleproject/blob/master/setup.py
| 38.333333 | 60 | 0.765217 | # Your python setup file. An example can be found at:
# https://github.com/pypa/sampleproject/blob/master/setup.py
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a06fa2fed28030104a105135e887bc003bb4ac6c | 9,122 | py | Python | NLPCode/sentiment_analysis/LSTM/main.py | trusthlt/dp-across-nlp-tasks | ec3e03511420044cdb0bb1a3574925d354ff03f4 | [
"Apache-2.0"
] | 1 | 2021-12-21T14:05:34.000Z | 2021-12-21T14:05:34.000Z | NLPCode/sentiment_analysis/LSTM/main.py | trusthlt/dp-across-nlp-tasks | ec3e03511420044cdb0bb1a3574925d354ff03f4 | [
"Apache-2.0"
] | null | null | null | NLPCode/sentiment_analysis/LSTM/main.py | trusthlt/dp-across-nlp-tasks | ec3e03511420044cdb0bb1a3574925d354ff03f4 | [
"Apache-2.0"
] | null | null | null | import sys
import os
sys.path.insert(1, os.path.join(sys.path[0], '..'))
import torch.optim as optim
import torch.nn as nn
# download the dataset takes time so only do it once since it is not effected by the SEED
if __name__ == "__main__":
pass | 46.540816 | 228 | 0.638128 | import sys
import os
sys.path.insert(1, os.path.join(sys.path[0], '..'))
import torch
from torchtext.legacy import data
from torchtext.legacy import datasets
import random
import torch.optim as optim
import torch.nn as nn
import time
from train_eval_models import train, evaluate
from lstm_model import LSTM
from utils i... | 12 | 0 | 0 | 0 | 0 | 8,411 | 0 | 97 | 355 |
006efc88627e312fb8810bcd78fa7b9cddb78c3f | 659 | py | Python | BOJ/exaustive_search_boj/start_link.py | mrbartrns/swacademy_structure | 778f0546030385237c383d81ec37d5bd9ed1272d | [
"MIT"
] | null | null | null | BOJ/exaustive_search_boj/start_link.py | mrbartrns/swacademy_structure | 778f0546030385237c383d81ec37d5bd9ed1272d | [
"MIT"
] | null | null | null | BOJ/exaustive_search_boj/start_link.py | mrbartrns/swacademy_structure | 778f0546030385237c383d81ec37d5bd9ed1272d | [
"MIT"
] | null | null | null | # BOJ 14889
import sys
from itertools import combinations
si = sys.stdin.readline
n = int(si())
graph = [list(map(int, si().split())) for _ in range(n)]
people = [i for i in range(n)]
comb = list(combinations(people, n // 2))
size = len(comb)
start = comb[: size // 2]
link = list(reversed(comb[size // 2 :]))
sub = 1... | 20.59375 | 56 | 0.569044 | # BOJ 14889
import sys
from itertools import combinations
si = sys.stdin.readline
n = int(si())
graph = [list(map(int, si().split())) for _ in range(n)]
people = [i for i in range(n)]
comb = list(combinations(people, n // 2))
size = len(comb)
start = comb[: size // 2]
link = list(reversed(comb[size // 2 :]))
sub = 1... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f18108c4b4b18796e84bfc2bec317d23dbceab63 | 1,117 | py | Python | leetcode/math/largest-time-for-given-digits.py | jaimeulloa61/data-structure-and-algorithms | 76140bb36b62ebc7c60914c48a323aae4956fb0a | [
"MIT"
] | 81 | 2020-05-22T14:22:04.000Z | 2021-12-18T10:11:23.000Z | leetcode/math/largest-time-for-given-digits.py | jaimeulloa61/data-structure-and-algorithms | 76140bb36b62ebc7c60914c48a323aae4956fb0a | [
"MIT"
] | 4 | 2020-08-06T21:08:00.000Z | 2021-03-31T16:07:50.000Z | leetcode/math/largest-time-for-given-digits.py | jaimeulloa61/data-structure-and-algorithms | 76140bb36b62ebc7c60914c48a323aae4956fb0a | [
"MIT"
] | 37 | 2020-05-22T14:25:21.000Z | 2021-12-30T03:13:13.000Z | """
## Questions: EASY
### 949. [Largest Time for Given Digits](https://leetcode.com/problems/largest-time-for-given-digits)
Given an array of 4 digits, return the largest 24 hour time that can be made.
The smallest 24 hour time is 00:00, and the largest is 23:59. Starting from 00:00, a time is larger if more time ... | 24.822222 | 117 | 0.622202 | """
## Questions: EASY
### 949. [Largest Time for Given Digits](https://leetcode.com/problems/largest-time-for-given-digits)
Given an array of 4 digits, return the largest 24 hour time that can be made.
The smallest 24 hour time is 00:00, and the largest is 23:59. Starting from 00:00, a time is larger if more time ... | 0 | 0 | 0 | 322 | 0 | 0 | 0 | 13 | 45 |
2d9606afaaacd45328bcef0d50dd3a9ce97bc2cc | 3,244 | py | Python | docs/conf.py | Substancia/fdtd | 9444deba9a31f9ef4b4618c1b6c753cf46cc1ae7 | [
"MIT"
] | null | null | null | docs/conf.py | Substancia/fdtd | 9444deba9a31f9ef4b4618c1b6c753cf46cc1ae7 | [
"MIT"
] | null | null | null | docs/conf.py | Substancia/fdtd | 9444deba9a31f9ef4b4618c1b6c753cf46cc1ae7 | [
"MIT"
] | null | null | null | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | 34.147368 | 79 | 0.664612 | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | 0 | 0 | 0 | 0 | 0 | 140 | 0 | 0 | 45 |
5d5cfccfe104c17e1292b078cb47b07be3d866c4 | 1,065 | py | Python | app/deleteuser.py | ST4NSB/music-recommendation-system | eb8fef34b96a097b78c58e908307032f043bfcd2 | [
"MIT"
] | null | null | null | app/deleteuser.py | ST4NSB/music-recommendation-system | eb8fef34b96a097b78c58e908307032f043bfcd2 | [
"MIT"
] | null | null | null | app/deleteuser.py | ST4NSB/music-recommendation-system | eb8fef34b96a097b78c58e908307032f043bfcd2 | [
"MIT"
] | 1 | 2021-09-04T21:17:37.000Z | 2021-09-04T21:17:37.000Z | from flask import make_response
| 35.5 | 74 | 0.613146 | from typing import Any, Dict
from flask import jsonify, make_response, request, abort
from flask.helpers import make_response
from flask_restful import Resource
from werkzeug.exceptions import HTTPException
from werkzeug.wrappers import Response
class DeleteUser(Resource):
def __init__(self, rs: Any, api_key: str)... | 0 | 0 | 0 | 777 | 0 | 0 | 0 | 104 | 133 |
4c2412ee0bfe7391af1f0ace035b2d7d655dc6b5 | 872 | py | Python | visual_mpc/policy/handcrafted/playback_policy.py | thomasweng15/visual_foresight | 0f00ffcfc05e9ce47d76d440d91c298a35d8f7b1 | [
"MIT"
] | 108 | 2018-12-04T04:57:07.000Z | 2022-03-15T21:13:36.000Z | visual_mpc/policy/handcrafted/playback_policy.py | thomasweng15/visual_foresight | 0f00ffcfc05e9ce47d76d440d91c298a35d8f7b1 | [
"MIT"
] | 16 | 2019-03-12T13:31:45.000Z | 2022-03-11T23:36:12.000Z | visual_mpc/policy/handcrafted/playback_policy.py | thomasweng15/visual_foresight | 0f00ffcfc05e9ce47d76d440d91c298a35d8f7b1 | [
"MIT"
] | 35 | 2018-12-05T08:41:54.000Z | 2022-03-15T21:13:37.000Z | import sys
if sys.version_info[0] < 3:
import cPickle as pkl
else:
| 30.068966 | 70 | 0.649083 | import numpy as np
from visual_mpc.policy.policy import Policy
import sys
if sys.version_info[0] < 3:
import cPickle as pkl
else:
import pickle as pkl
class PlaybackPolicy(Policy):
def __init__(self, agentparams, policyparams, gpu_id, npgu):
self._hp = self._default_hparams()
self._overrid... | 0 | 0 | 0 | 689 | 0 | 0 | 0 | 18 | 93 |
705c2e7f64edcd9f9ffde7a0277d8c6b633c79e3 | 2,338 | py | Python | portfolio/Python/scrapy/netthandelen/coverbrands_spider.py | 0--key/lib | ba7a85dda2b208adc290508ca617bdc55a5ded22 | [
"Apache-2.0"
] | null | null | null | portfolio/Python/scrapy/netthandelen/coverbrands_spider.py | 0--key/lib | ba7a85dda2b208adc290508ca617bdc55a5ded22 | [
"Apache-2.0"
] | null | null | null | portfolio/Python/scrapy/netthandelen/coverbrands_spider.py | 0--key/lib | ba7a85dda2b208adc290508ca617bdc55a5ded22 | [
"Apache-2.0"
] | 5 | 2016-03-22T07:40:46.000Z | 2021-05-30T16:12:21.000Z | import os
HERE = os.path.abspath(os.path.dirname(__file__))
| 50.826087 | 151 | 0.639008 | import os
from scrapy.spider import BaseSpider
from scrapy.selector import HtmlXPathSelector
from scrapy.http import Request, HtmlResponse
from scrapy.utils.url import urljoin_rfc
from scrapy.utils.response import get_base_url
from product_spiders.items import Product, ProductLoaderWithNameStrip as ProductLoader
from ... | 0 | 0 | 0 | 1,858 | 0 | 0 | 0 | 219 | 200 |
70ec56ff780f5dd797f1ef1f0a062e333cc08162 | 1,829 | py | Python | tests/integration/agent/test_agent_manager.py | datacraft-dsc/starfish-py | 95ff24410f056e8e2d313c3af97439fe003e294a | [
"Apache-2.0"
] | 4 | 2019-02-08T03:47:36.000Z | 2019-10-17T21:45:23.000Z | tests/integration/agent/test_agent_manager.py | datacraft-dsc/starfish-py | 95ff24410f056e8e2d313c3af97439fe003e294a | [
"Apache-2.0"
] | 81 | 2019-02-09T01:01:51.000Z | 2020-07-01T08:35:07.000Z | tests/integration/agent/test_agent_manager.py | oceanprotocol/ocean-py | 318ad0de2519e61d0a301c040a48d1839cd82425 | [
"Apache-2.0"
] | 1 | 2021-01-28T12:14:03.000Z | 2021-01-28T12:14:03.000Z | """
Unit test AgentManager
"""
| 25.054795 | 83 | 0.726627 | """
Unit test AgentManager
"""
import pytest
import secrets
from starfish.agent_manager import AgentManager
from starfish.asset import DataAsset
from starfish.network.ddo import DDO
def test_agent_manager_register(config):
manager = AgentManager()
manager.register_agents(config['agents'])
assert(mana... | 0 | 0 | 0 | 0 | 0 | 1,572 | 0 | 41 | 180 |
032adfb13952d189310f2016bb5a3fedf65a3dad | 2,356 | py | Python | ahvl/options/lookup/sshhostkey.py | gardar/ahvl | 045b5882d94fc2d4ba7b194bf65ebfbf9d2e1d6d | [
"MIT"
] | 4 | 2019-10-12T12:11:23.000Z | 2021-12-20T13:53:28.000Z | ahvl/options/lookup/sshhostkey.py | gardar/ahvl | 045b5882d94fc2d4ba7b194bf65ebfbf9d2e1d6d | [
"MIT"
] | 2 | 2021-02-05T12:52:55.000Z | 2022-02-11T10:58:52.000Z | ahvl/options/lookup/sshhostkey.py | gardar/ahvl | 045b5882d94fc2d4ba7b194bf65ebfbf9d2e1d6d | [
"MIT"
] | 1 | 2020-08-13T07:52:27.000Z | 2020-08-13T07:52:27.000Z | #
# import modules
#
from ahvl.helper import AhvlMsg, AhvlHelper
#
# helper/message
#
msg = AhvlMsg()
hlp = AhvlHelper()
#
# OptionsLookupSSHHostKey
#
| 24.040816 | 129 | 0.532683 | #
# import modules
#
from ahvl.options.base import OptionsBase
from ahvl.helper import AhvlMsg, AhvlHelper
#
# helper/message
#
msg = AhvlMsg()
hlp = AhvlHelper()
#
# OptionsLookupSSHHostKey
#
class OptionsLookupSSHHostKey(OptionsBase):
# set option prefix
def get_prefix(self):
# return option prefi... | 0 | 0 | 0 | 2,139 | 0 | 0 | 0 | 20 | 44 |
3a1594135a5ff0e3497e305d1ed292ee397596f7 | 1,276 | py | Python | tests/integration/__init__.py | codeanonorg/Simple | f96d241f6a39e9f9dc949a3598cd46f4b6d044f4 | [
"MIT"
] | 2 | 2021-01-23T23:33:08.000Z | 2021-01-24T14:01:53.000Z | tests/integration/__init__.py | codeanonorg/Simple | f96d241f6a39e9f9dc949a3598cd46f4b6d044f4 | [
"MIT"
] | null | null | null | tests/integration/__init__.py | codeanonorg/Simple | f96d241f6a39e9f9dc949a3598cd46f4b6d044f4 | [
"MIT"
] | null | null | null | """
Copyright (c) 2021 SolarLiner, jdrprod, Arxaqapi
This software is released under the MIT License.
https://opensource.org/licenses/MIT
"""
| 27.73913 | 83 | 0.583072 | """
Copyright (c) 2021 SolarLiner, jdrprod, Arxaqapi
This software is released under the MIT License.
https://opensource.org/licenses/MIT
"""
import os
import json
import unittest
from pathlib import Path
from Simple.document import Document
class FolderExpansionTest(unittest.TestCase):
def __init__(self, ... | 0 | 0 | 0 | 979 | 0 | 0 | 0 | -10 | 158 |
4d22960ef5f9a340afb99d07dec3bd573b96f594 | 2,096 | py | Python | lesson 1/parseXLS.py | olive-everest/wrangling_mongodb | f4af9c0e5d6ac9611b2a1b6dc2b2ed46df07bc15 | [
"MIT"
] | 2 | 2020-03-03T23:57:09.000Z | 2020-10-20T03:30:40.000Z | lesson 1/parseXLS.py | olive-everest/wrangling_mongodb | f4af9c0e5d6ac9611b2a1b6dc2b2ed46df07bc15 | [
"MIT"
] | null | null | null | lesson 1/parseXLS.py | olive-everest/wrangling_mongodb | f4af9c0e5d6ac9611b2a1b6dc2b2ed46df07bc15 | [
"MIT"
] | 2 | 2018-09-03T21:48:51.000Z | 2019-05-27T07:45:42.000Z | #!~/envs/python3/udacity_python_mongodb
import pprint
datafile = "datasets/2013_ERCOT_Hourly_Load_Data.xls"
data = parse_file(datafile)
pprint.pprint(data)
assert data['maxtime'] == (2013, 8, 13, 17, 0, 0)
assert round(data['maxvalue'], 10) == round(18779.02551, 10)
| 27.578947 | 113 | 0.614504 | #!~/envs/python3/udacity_python_mongodb
import xlrd
import pprint
datafile = "datasets/2013_ERCOT_Hourly_Load_Data.xls"
def parse_file(datafile):
workbook = xlrd.open_workbook(datafile)
sheet = workbook.sheet_by_index(0)
data = [
[
sheet.cell_value(r, col)
for col in ra... | 0 | 0 | 0 | 0 | 0 | 1,787 | 0 | -10 | 46 |
f2cc08c2712855bb70c1b2df5f5eceb724bfcb74 | 2,611 | py | Python | LinkedList/NthNode.py | pritsheth/Algorithms-Python | b8af30cbf95a772c9b9b997a30ff2c8b56a040e0 | [
"MIT"
] | null | null | null | LinkedList/NthNode.py | pritsheth/Algorithms-Python | b8af30cbf95a772c9b9b997a30ff2c8b56a040e0 | [
"MIT"
] | null | null | null | LinkedList/NthNode.py | pritsheth/Algorithms-Python | b8af30cbf95a772c9b9b997a30ff2c8b56a040e0 | [
"MIT"
] | null | null | null |
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
l1 = ListNode(1)
l2 = ListNode(6)
l3 = ListNode(2)
l4 = ListNode(5)
l5 = ListNode(4)
l1.next = l2
l2.next = l3
l3.next = l4
l4.next = l5
list = [1,2,3,4]
print("cond",list)
s = S... | 20.24031 | 57 | 0.475297 |
class Solution(object):
def mergeKLists(self, lists):
"""
:type lists: List[ListNode]
:rtype: ListNode
"""
head = point = ListNode(0)
q = PriorityQueue()
for l in lists:
if l:
q.put((l.val, l))
while not q.empty():
... | 0 | 0 | 0 | 2,165 | 0 | 0 | 0 | 0 | 69 |
af764e5dafc2947fe07066ff6030906511929558 | 4,562 | py | Python | language-model/optimizers/.ipynb_checkpoints/SRRAdam-checkpoint.py | minhtannguyen/RAdam | 44f403288df375bae0785cc82dd8c888eaaaa441 | [
"Apache-2.0"
] | null | null | null | language-model/optimizers/.ipynb_checkpoints/SRRAdam-checkpoint.py | minhtannguyen/RAdam | 44f403288df375bae0785cc82dd8c888eaaaa441 | [
"Apache-2.0"
] | null | null | null | language-model/optimizers/.ipynb_checkpoints/SRRAdam-checkpoint.py | minhtannguyen/RAdam | 44f403288df375bae0785cc82dd8c888eaaaa441 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Scheduled restarting RAdam
""" | 43.447619 | 176 | 0.47523 | # -*- coding: utf-8 -*-
"""
Scheduled restarting RAdam
"""
import math
import torch
from optimizer import Optimizer
class SRRAdam(Optimizer):
def __init__(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weight_decay=5e-4, iter_count=1, restarting_iter=50):
defaults = dict(lr=lr, betas=betas, eps=eps, ... | 0 | 0 | 0 | 4,424 | 0 | 0 | 0 | -9 | 89 |
69cc881c3132317dc99b291b997c426537752b21 | 591 | py | Python | _Dist/NeuralNetworks/_Tests/_UnitTests/UnitTestUtil.py | leoatchina/MachineLearning | 071f2c0fc6f5af3d9550cfbeafe8d537c35a76d3 | [
"MIT"
] | 1,107 | 2016-09-21T02:18:36.000Z | 2022-03-29T02:52:12.000Z | _Dist/NeuralNetworks/_Tests/_UnitTests/UnitTestUtil.py | leoatchina/MachineLearning | 071f2c0fc6f5af3d9550cfbeafe8d537c35a76d3 | [
"MIT"
] | 18 | 2016-12-22T10:24:47.000Z | 2022-03-11T23:18:43.000Z | _Dist/NeuralNetworks/_Tests/_UnitTests/UnitTestUtil.py | leoatchina/MachineLearning | 071f2c0fc6f5af3d9550cfbeafe8d537c35a76d3 | [
"MIT"
] | 776 | 2016-12-21T12:08:08.000Z | 2022-03-21T06:12:08.000Z | import os
root_cwd = os.path.abspath("../")
| 31.105263 | 69 | 0.700508 | import os
import shutil
root_cwd = os.path.abspath("../")
def clear_cache():
cwd = os.getcwd()
local_data_folder = os.path.join(cwd, "_Data")
if os.path.isdir(local_data_folder):
shutil.rmtree(local_data_folder)
shutil.rmtree(os.path.join(cwd, "_Models"))
remote_cache_folder = os.path.joi... | 0 | 0 | 0 | 0 | 0 | 508 | 0 | -8 | 45 |
6f5491579cffa286e720c032978958a0958d8bfb | 7,293 | py | Python | cryptonote/classes/wallet/address.py | kayabaNerve/cryptonote-library | 00bef43527172cffa75c2445430f36ceb80fbcb6 | [
"MIT"
] | 8 | 2020-11-08T07:13:43.000Z | 2021-09-20T11:14:23.000Z | cryptonote/classes/wallet/address.py | kayabaNerve/cryptonote-library | 00bef43527172cffa75c2445430f36ceb80fbcb6 | [
"MIT"
] | 7 | 2020-11-08T04:23:32.000Z | 2022-03-24T04:26:13.000Z | cryptonote/classes/wallet/address.py | kayabaNerve/cryptonote-library | 00bef43527172cffa75c2445430f36ceb80fbcb6 | [
"MIT"
] | 5 | 2020-11-08T06:09:38.000Z | 2021-05-10T17:52:24.000Z | """Address file. Handles address encoding and decoding."""
# Types.
# Keccak hash function.
# Crypto class.
# Base58 Character Set.
BASE58: str = "123456789ABCDEFGHJKLMNPQRSTUVWXYZabcdefghijkmnopqrstuvwxyz"
# AddressError.
# Address class.
| 34.728571 | 92 | 0.574386 | """Address file. Handles address encoding and decoding."""
# Types.
from typing import Tuple, Optional, Any
# Keccak hash function.
from Cryptodome.Hash import keccak
# Crypto class.
from cryptonote.crypto.crypto import Crypto
# Base58 Character Set.
BASE58: str = "123456789ABCDEFGHJKLMNPQRSTUVWXYZabcdefghijkmnopqr... | 0 | 2,527 | 0 | 4,356 | 0 | 0 | 0 | 53 | 110 |
ea472ba98b118db51678256b53b75e13e1db4839 | 5,171 | py | Python | tests/mypy/test_mypy.py | jasujm/pydantic | cc1cb4826c74ac5b651ef2d80c3478428a9950ca | [
"MIT"
] | 1 | 2020-05-03T06:32:47.000Z | 2020-05-03T06:32:47.000Z | tests/mypy/test_mypy.py | jasujm/pydantic | cc1cb4826c74ac5b651ef2d80c3478428a9950ca | [
"MIT"
] | 189 | 2020-07-12T08:13:29.000Z | 2022-03-28T01:16:29.000Z | tests/mypy/test_mypy.py | jasujm/pydantic | cc1cb4826c74ac5b651ef2d80c3478428a9950ca | [
"MIT"
] | 2 | 2021-11-23T16:28:21.000Z | 2021-11-23T16:28:33.000Z | import os
from pathlib import Path
try:
from mypy import api as mypy_api
except ImportError:
mypy_api = None # type: ignore
try:
import dotenv
except ImportError:
dotenv = None # type: ignore
# This ensures mypy can find the test files, no matter where tests are run from:
os.chdir(Path(__file__).pa... | 46.169643 | 116 | 0.705473 | import importlib
import os
import re
from pathlib import Path
import pytest
try:
from mypy import api as mypy_api
except ImportError:
mypy_api = None # type: ignore
try:
import dotenv
except ImportError:
dotenv = None # type: ignore
# This ensures mypy can find the test files, no matter where test... | 0 | 2,907 | 0 | 0 | 0 | 512 | 0 | -25 | 159 |
f8b9e4e8b0c62ee60777e7974dd1a400acc61e2c | 18,835 | py | Python | cli/aps.py | Verimatrix/app-shield-protect | 1e9e02ef2760139fb7cf6efc0e22155234e7aa4c | [
"MIT"
] | 19 | 2021-04-26T15:38:22.000Z | 2022-03-30T20:01:20.000Z | cli/aps.py | Daniel1Rosen/app-shield-protect | 1e9e02ef2760139fb7cf6efc0e22155234e7aa4c | [
"MIT"
] | 1 | 2021-03-11T14:20:55.000Z | 2021-03-11T17:32:13.000Z | cli/aps.py | Daniel1Rosen/app-shield-protect | 1e9e02ef2760139fb7cf6efc0e22155234e7aa4c | [
"MIT"
] | 1 | 2022-01-06T20:53:32.000Z | 2022-01-06T20:53:32.000Z | #!/usr/bin/python
'''Entrypoint for APS CLI'''
import logging
import os
LOGGER = logging.getLogger(__name__)
# set environment variables that control coloredlog module output
os.environ['COLOREDLOGS_LOG_FORMAT'] = '%(levelname)s:%(message)s'
os.environ['COLOREDLOGS_FIELD_STYLES'] = ''
os.environ['COLOREDLOGS_LEVEL_ST... | 43.700696 | 124 | 0.628935 | #!/usr/bin/python
'''Entrypoint for APS CLI'''
import argparse
import json
import logging
import os
import sys
import traceback
import coloredlogs
from aps_commands import ApsCommands
from aps_utils import get_config, authenticate_secret
LOGGER = logging.getLogger(__name__)
# set environment variables that control ... | 0 | 0 | 0 | 17,625 | 0 | 0 | 0 | 12 | 179 |
9cd14774cef42968c64c6869f09ed35f3728ce7a | 2,379 | py | Python | botx/bots/mixins/collectors.py | ExpressApp/pybotx | 97c8b1ce5d45a05567ed01d545cb43174a2dcbb9 | [
"MIT"
] | 13 | 2021-01-21T12:43:10.000Z | 2022-03-23T11:11:59.000Z | botx/bots/mixins/collectors.py | ExpressApp/pybotx | 97c8b1ce5d45a05567ed01d545cb43174a2dcbb9 | [
"MIT"
] | 259 | 2020-02-26T08:51:03.000Z | 2022-03-23T11:08:36.000Z | botx/bots/mixins/collectors.py | ExpressApp/pybotx | 97c8b1ce5d45a05567ed01d545cb43174a2dcbb9 | [
"MIT"
] | 5 | 2019-12-02T16:19:22.000Z | 2021-11-22T20:33:34.000Z | """Definition for bot's collecting component.
All of this methods are just wrappers around inner collector.
"""
| 30.896104 | 85 | 0.688525 | """Definition for bot's collecting component.
All of this methods are just wrappers around inner collector.
"""
from typing import Any, List, Optional, Sequence
from botx.bots.mixins.collecting.add_handler import AddHandlerMixin
from botx.bots.mixins.collecting.default import DefaultHandlerMixin
from botx.bots.mixin... | 0 | 186 | 0 | 1,506 | 0 | 0 | 0 | 350 | 223 |
7f4f696664f38e804ec5049ca26eb5c74828b503 | 1,455 | py | Python | cds_ils/ldap/cli.py | kpsherva/cds-ils | 8eeeb6e03784756ed24895c8d030682f9d733e8a | [
"MIT"
] | 6 | 2020-09-18T00:13:38.000Z | 2021-11-14T17:12:19.000Z | cds_ils/ldap/cli.py | kpsherva/cds-ils | 8eeeb6e03784756ed24895c8d030682f9d733e8a | [
"MIT"
] | 321 | 2020-08-28T15:42:25.000Z | 2022-03-14T15:11:50.000Z | cds_ils/ldap/cli.py | kpsherva/cds-ils | 8eeeb6e03784756ed24895c8d030682f9d733e8a | [
"MIT"
] | 4 | 2020-08-31T08:55:47.000Z | 2022-01-14T11:30:23.000Z | # -*- coding: utf-8 -*-
#
# This file is part of Invenio.
# Copyright (C) 2015-2020 CERN.
#
# cds-migrator-kit is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
"""CDS-ILS ldap users CLI."""
| 25.982143 | 77 | 0.717526 | # -*- coding: utf-8 -*-
#
# This file is part of Invenio.
# Copyright (C) 2015-2020 CERN.
#
# cds-migrator-kit is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
"""CDS-ILS ldap users CLI."""
import click
from flask import current_app
fr... | 0 | 780 | 0 | 0 | 0 | 0 | 0 | 127 | 270 |
eb6df24de1ebfc73472eb5e92e6a7151f65ea7fd | 1,354 | py | Python | myDjangoProject/myDjangoProject/SSHConn.py | yueheng-li/pythonLearn | 375028537be08a8ae14104bf439172816017323e | [
"MIT"
] | null | null | null | myDjangoProject/myDjangoProject/SSHConn.py | yueheng-li/pythonLearn | 375028537be08a8ae14104bf439172816017323e | [
"MIT"
] | null | null | null | myDjangoProject/myDjangoProject/SSHConn.py | yueheng-li/pythonLearn | 375028537be08a8ae14104bf439172816017323e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
| 27.632653 | 89 | 0.718612 | # -*- coding: utf-8 -*-
import paramiko
import logging
class SSHConn:
logger = logging.getLogger('scripts')
def __init__(self, hostname, port, username, password):
self.client = paramiko.SSHClient()
self.client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
self.client.connect(hostname=hostname, port=... | 66 | 0 | 0 | 1,254 | 0 | 0 | 0 | -13 | 67 |
91d9922392d11c99a25f3dd872cb144761ea21f3 | 1,732 | py | Python | pytdx/pytdx/parser/get_company_info_content.py | iamweilee/nodetdx | 5048cb25da6aae18e3204fa365e92866c0914340 | [
"MIT"
] | 7 | 2021-06-27T11:42:00.000Z | 2022-03-15T15:01:29.000Z | pytdx/pytdx/parser/get_company_info_content.py | hitrading/nodetdx | 5048cb25da6aae18e3204fa365e92866c0914340 | [
"MIT"
] | null | null | null | pytdx/pytdx/parser/get_company_info_content.py | hitrading/nodetdx | 5048cb25da6aae18e3204fa365e92866c0914340 | [
"MIT"
] | 2 | 2021-07-08T03:44:41.000Z | 2021-09-15T00:41:19.000Z | # coding=utf-8
| 34.64 | 264 | 0.691109 | # coding=utf-8
from pytdx.parser.base import BaseParser
from pytdx.helper import get_datetime, get_volume, get_price
from collections import OrderedDict
import struct
import six
import zlib
class GetCompanyInfoContent(BaseParser):
def setParams(self, market, code, filename, start, length):
if type(code)... | 0 | 0 | 0 | 1,071 | 0 | 424 | 0 | 43 | 179 |
7d8dbfd1ee273cc85c76d1e6dd4508382ec92620 | 5,927 | py | Python | wsrpc/__init__.py | guyingbo/websocket-rpc | 326765cd660b5ae4c77cea456ca774deae80e9f6 | [
"MIT"
] | 8 | 2018-01-22T12:03:13.000Z | 2021-07-06T15:24:48.000Z | wsrpc/__init__.py | guyingbo/websocket-rpc | 326765cd660b5ae4c77cea456ca774deae80e9f6 | [
"MIT"
] | 2 | 2019-10-22T17:43:15.000Z | 2020-04-27T15:09:36.000Z | wsrpc/__init__.py | guyingbo/websocket-rpc | 326765cd660b5ae4c77cea456ca774deae80e9f6 | [
"MIT"
] | 1 | 2020-06-08T19:34:13.000Z | 2020-06-08T19:34:13.000Z | """msgpack rpc over websockets"""
import logging
logger = logging.getLogger(__name__)
__version__ = "0.0.6"
| 31.359788 | 86 | 0.596254 | """msgpack rpc over websockets"""
import asyncio
import inspect
import itertools
import logging
import typing
import msgpack # type: ignore
logger = logging.getLogger(__name__)
__version__ = "0.0.6"
class RPCError(Exception):
pass
class RemoteCallError(Exception):
pass
class WebsocketRPC:
REQUEST =... | 0 | 0 | 3,345 | 2,260 | 0 | 0 | 0 | -34 | 242 |
c945c07012decbd51269c28e92ef14a6644a2d2e | 1,279 | py | Python | tests/neurofire/datasets/isbi/loaders/master.py | nasimrahaman/neurofire | 4d645be149165da4c8202fe13b3c2360c2832383 | [
"MIT"
] | 9 | 2018-01-29T07:30:14.000Z | 2022-03-09T04:23:14.000Z | tests/neurofire/datasets/isbi/loaders/master.py | nasimrahaman/neurofire | 4d645be149165da4c8202fe13b3c2360c2832383 | [
"MIT"
] | 1 | 2017-12-19T14:27:18.000Z | 2017-12-19T15:35:59.000Z | tests/neurofire/datasets/isbi/loaders/master.py | nasimrahaman/neurofire | 4d645be149165da4c8202fe13b3c2360c2832383 | [
"MIT"
] | 5 | 2018-01-27T12:16:37.000Z | 2020-01-20T13:14:26.000Z |
if __name__ == '__main__':
TestMaster().test_master()
| 36.542857 | 96 | 0.621579 | import os
import unittest
class TestMaster(unittest.TestCase):
DATA_CONFIG = os.path.join(os.path.dirname(__file__), 'data_config_test.yml')
PLOT_DIRECTORY = os.path.join(os.path.dirname(__file__), 'plots')
def test_master(self):
from neurofire.datasets.isbi2012.loaders.master import ISBI2012Data... | 0 | 0 | 0 | 1,170 | 0 | 0 | 0 | -18 | 67 |
8f92f89adceb8143275e8758b8bfe37c82df0da9 | 481 | py | Python | setup.py | DiegoLigtenberg/Workspace-MasterThesis-MSS | e8183031b6223051049f48e0da2bc2824e60239e | [
"MIT"
] | null | null | null | setup.py | DiegoLigtenberg/Workspace-MasterThesis-MSS | e8183031b6223051049f48e0da2bc2824e60239e | [
"MIT"
] | null | null | null | setup.py | DiegoLigtenberg/Workspace-MasterThesis-MSS | e8183031b6223051049f48e0da2bc2824e60239e | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
setup(
name="mss_project",
version="1.0",
author="Diego Ligtenberg",
author_email="diegoligtenberg@gmail.com",
description="Master Thesis about Music Source Separation, and Instrument classification",
license="MIT",
long_description=("README"),
... | 30.0625 | 93 | 0.711019 | from setuptools import setup, find_packages
setup(
name="mss_project",
version="1.0",
author="Diego Ligtenberg",
author_email="diegoligtenberg@gmail.com",
description="Master Thesis about Music Source Separation, and Instrument classification",
license="MIT",
long_description=("README"),
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3f84395d2f49e57e7b6548b518e2f701e3b76824 | 236 | py | Python | backend/reports/admin.py | nikhilkutinha/athena | dd46eac06ed3bf2d24e4c0882c1a79adca8025b5 | [
"MIT"
] | 1 | 2021-02-12T10:25:03.000Z | 2021-02-12T10:25:03.000Z | backend/reports/admin.py | nikhilkutinha/athena | dd46eac06ed3bf2d24e4c0882c1a79adca8025b5 | [
"MIT"
] | null | null | null | backend/reports/admin.py | nikhilkutinha/athena | dd46eac06ed3bf2d24e4c0882c1a79adca8025b5 | [
"MIT"
] | null | null | null | from django.contrib import admin
from . models import Region, Report
admin.site.register(Region, RegionAdmin)
admin.site.register(Report)
| 23.6 | 57 | 0.771186 | from django.contrib import admin
from . models import Region, Report
class RegionAdmin(admin.ModelAdmin):
list_display = ('name', 'get_type_display', 'parent')
admin.site.register(Region, RegionAdmin)
admin.site.register(Report)
| 0 | 0 | 0 | 73 | 0 | 0 | 0 | 0 | 23 |
df8b64d264ab4c00a24b54e27a1d1471a8499466 | 2,390 | py | Python | tardis/configuration/configuration.py | stwunsch/tardis | cfc01a7a3b2e58e7e88653dd8d119a724e27d620 | [
"MIT"
] | 11 | 2019-06-06T14:44:56.000Z | 2021-12-17T19:46:18.000Z | tardis/configuration/configuration.py | stwunsch/tardis | cfc01a7a3b2e58e7e88653dd8d119a724e27d620 | [
"MIT"
] | 165 | 2019-04-26T09:31:19.000Z | 2022-03-09T16:45:45.000Z | tardis/configuration/configuration.py | stwunsch/tardis | cfc01a7a3b2e58e7e88653dd8d119a724e27d620 | [
"MIT"
] | 12 | 2019-06-06T14:06:15.000Z | 2021-12-21T12:31:03.000Z |
# Need to import all pyyaml loadable classes (bootstrapping problem) FIX ME
| 36.769231 | 81 | 0.667364 | from ..interfaces.borg import Borg
from ..utilities.attributedict import AttributeDict
from ..utilities.attributedict import convert_to_attribute_dict
# Need to import all pyyaml loadable classes (bootstrapping problem) FIX ME
from ..utilities.executors import * # noqa: F403, F401
from ..utilities.simulators import *... | 0 | 1,143 | 0 | 0 | 0 | 685 | 0 | 175 | 308 |
120369d341d9b59da985a66835a1ca1e27100fb4 | 3,626 | py | Python | src/sparsezoo/requests/get.py | signalism/sparsezoo | 5ca44f8cb514e80844034920d743baba97279ec2 | [
"Apache-2.0"
] | 116 | 2021-02-04T17:51:22.000Z | 2022-03-25T03:15:19.000Z | src/sparsezoo/requests/get.py | PIlotcnc/new | 6e6413632de01f6acf691dca8fadb84f841444b9 | [
"Apache-2.0"
] | 15 | 2021-02-13T12:00:40.000Z | 2022-03-17T18:44:54.000Z | src/sparsezoo/requests/get.py | PIlotcnc/new | 6e6413632de01f6acf691dca8fadb84f841444b9 | [
"Apache-2.0"
] | 11 | 2021-02-04T22:20:47.000Z | 2021-12-03T12:20:09.000Z | # Copyright (c) 2021 - present / Neuralmagic, 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 b... | 32.088496 | 88 | 0.714286 | # Copyright (c) 2021 - present / Neuralmagic, 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 b... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0a9e5488d671080d52c88d3170387721e61d8893 | 4,851 | py | Python | data_filter.py | linmengsysu/isonode | e471def853adbcbc25ef169c178510bbcddeab38 | [
"MIT"
] | 1 | 2022-01-28T23:59:24.000Z | 2022-01-28T23:59:24.000Z | data_filter.py | linmengsysu/isonode | e471def853adbcbc25ef169c178510bbcddeab38 | [
"MIT"
] | null | null | null | data_filter.py | linmengsysu/isonode | e471def853adbcbc25ef169c178510bbcddeab38 | [
"MIT"
] | null | null | null | # from pytorch_transformers import *
# from sklearn.preprocessing import OneHotEncoder, LabelBinarizer, MultiLabelBinarizer
# from data import *
# import gensim
# from gensim.models import Word2Vec
# from tqdm import tqdm
# from tqdm import tqdm_notebook as tqdm # Comment this line if using jupyter notebook
import ar... | 37.604651 | 141 | 0.603793 | # from pytorch_transformers import *
# from sklearn.preprocessing import OneHotEncoder, LabelBinarizer, MultiLabelBinarizer
# from data import *
# import gensim
# from gensim.models import Word2Vec
# from tqdm import tqdm
# from tqdm import tqdm_notebook as tqdm # Comment this line if using jupyter notebook
from scip... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -5 | 44 |
53535af0d4e9f21ee100b03504a8ad034178c9c9 | 738 | py | Python | planners/mouseSampler.py | jkwang1992/rrdt | 5579081fc53f56573c772ff9a894c0093e0bc5e0 | [
"MIT"
] | 8 | 2019-05-21T04:40:53.000Z | 2020-10-17T07:20:04.000Z | planners/mouseSampler.py | soraxas/rrdt | 5579081fc53f56573c772ff9a894c0093e0bc5e0 | [
"MIT"
] | null | null | null | planners/mouseSampler.py | soraxas/rrdt | 5579081fc53f56573c772ff9a894c0093e0bc5e0 | [
"MIT"
] | 3 | 2021-07-16T07:06:14.000Z | 2022-02-09T12:06:06.000Z |
"""
For demo / testing only. This policy wait for user mouse input for next sampling node.
"""
| 27.333333 | 110 | 0.650407 | import time
import pygame
from overrides import overrides
from planners.baseSampler import Sampler
"""
For demo / testing only. This policy wait for user mouse input for next sampling node.
"""
class MouseSampler(Sampler):
@overrides
def get_next_pos(self):
return self.get_mouse_click_position(scal... | 0 | 457 | 0 | 7 | 0 | 0 | 0 | 11 | 167 |
b36409855170a5bba1fa8e4bfcd74d4fb54b5b4d | 5,887 | py | Python | Tutorial 2 - Data Navigation/PlugIns/experimental/scripts/CompositeSurveyImage.py | paradimdata/Cornell_EM_SummerSchool_2021 | 9f3583e1b85a9cdd86e1b91800027966d501ce96 | [
"MIT"
] | 8 | 2021-06-13T20:02:12.000Z | 2022-03-24T09:19:23.000Z | Tutorial 2 - Data Navigation/PlugIns/experimental/scripts/CompositeSurveyImage.py | paradimdata/Cornell_EM_SummerSchool_2021 | 9f3583e1b85a9cdd86e1b91800027966d501ce96 | [
"MIT"
] | null | null | null | Tutorial 2 - Data Navigation/PlugIns/experimental/scripts/CompositeSurveyImage.py | paradimdata/Cornell_EM_SummerSchool_2021 | 9f3583e1b85a9cdd86e1b91800027966d501ce96 | [
"MIT"
] | 1 | 2021-07-16T20:12:28.000Z | 2021-07-16T20:12:28.000Z | """
Example script to do acquire a composite survey image using stage shift.
The script uses the center 50% of the image, shifts the stage by the appropriate amount
in x, y directions, and stitches the resulting images together into a larger super image.
To use:
Run Nion Swift and get a good image
Set the def... | 51.191304 | 189 | 0.675556 | """
Example script to do acquire a composite survey image using stage shift.
The script uses the center 50% of the image, shifts the stage by the appropriate amount
in x, y directions, and stitches the resulting images together into a larger super image.
To use:
Run Nion Swift and get a good image
Set the def... | 0 | 0 | 0 | 0 | 0 | 4,368 | 0 | -26 | 90 |
7b6e6935e9f10e3177f7f225ae50e045d968b7a9 | 18,997 | py | Python | python/biograph/vdb/study_cmd.py | spiralgenetics/biograph | 33c78278ce673e885f38435384f9578bfbf9cdb8 | [
"BSD-2-Clause"
] | 16 | 2021-07-14T23:32:31.000Z | 2022-03-24T16:25:15.000Z | python/biograph/vdb/study_cmd.py | spiralgenetics/biograph | 33c78278ce673e885f38435384f9578bfbf9cdb8 | [
"BSD-2-Clause"
] | 9 | 2021-07-20T20:39:47.000Z | 2021-09-16T20:57:59.000Z | python/biograph/vdb/study_cmd.py | spiralgenetics/biograph | 33c78278ce673e885f38435384f9578bfbf9cdb8 | [
"BSD-2-Clause"
] | 9 | 2021-07-15T19:38:35.000Z | 2022-01-31T19:24:56.000Z | #!/usr/bin/env python3
'''
Manage VDB studies
'''
import argparse
import inspect
import multiprocessing
import subprocess
import sys
import tempfile
from pathlib import Path
import biograph.vdb.athena as athena
from biograph.tools.log import setup_logging, log
from biograph.tools.refhash import refhash
def write_vc... | 37.031189 | 177 | 0.635574 | #!/usr/bin/env python3
'''
Manage VDB studies
'''
import argparse
import inspect
import multiprocessing
import subprocess
import sys
import tempfile
from pathlib import Path
import orjson as json
import biograph.vdb.athena as athena
from biograph.tools.log import setup_logging, log
from biograph.tools.refhash import... | 0 | 0 | 0 | 2,761 | 0 | 0 | 0 | 0 | 46 |
4fd45db9c2e379d53922d350b4c817fe2011fd1f | 38 | py | Python | tests/core/backend_tests.py | LTD-Beget/cement | e885932583c14037599a2aa8a16d4d8a521364bd | [
"BSD-3-Clause"
] | null | null | null | tests/core/backend_tests.py | LTD-Beget/cement | e885932583c14037599a2aa8a16d4d8a521364bd | [
"BSD-3-Clause"
] | null | null | null | tests/core/backend_tests.py | LTD-Beget/cement | e885932583c14037599a2aa8a16d4d8a521364bd | [
"BSD-3-Clause"
] | null | null | null | """Tests for cement.core.backend."""
| 12.666667 | 36 | 0.657895 | """Tests for cement.core.backend."""
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8038c2dcc55dc95a304ef67bf6c48b936f148f68 | 3,610 | py | Python | sdk/python/lib/pulumi/runtime/proto/language_pb2_grpc.py | goverdhan07/pulumi | 301efa60653c90047a3427af41339387223dbccd | [
"Apache-2.0"
] | 1 | 2021-11-23T21:49:18.000Z | 2021-11-23T21:49:18.000Z | sdk/python/lib/pulumi/runtime/proto/language_pb2_grpc.py | goverdhan07/pulumi | 301efa60653c90047a3427af41339387223dbccd | [
"Apache-2.0"
] | null | null | null | sdk/python/lib/pulumi/runtime/proto/language_pb2_grpc.py | goverdhan07/pulumi | 301efa60653c90047a3427af41339387223dbccd | [
"Apache-2.0"
] | null | null | null | # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
| 43.493976 | 119 | 0.726593 | # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
import grpc
from google.protobuf import empty_pb2 as google_dot_protobuf_dot_empty__pb2
from . import language_pb2 as language__pb2
from . import plugin_pb2 as plugin__pb2
class LanguageRuntimeStub(object):
"""LanguageRuntime is the interface ... | 0 | 0 | 0 | 2,242 | 0 | 1,053 | 0 | 84 | 158 |
c371bf194a11f9f676fde05a640618c87f3d85b8 | 2,632 | py | Python | slope/models/corefres/mentionpair/data.py | RyanElliott10/slope | 3247b04181cb6696978ce544382d97fa570b862d | [
"MIT"
] | 1 | 2020-10-07T04:33:54.000Z | 2020-10-07T04:33:54.000Z | slope/models/corefres/mentionpair/data.py | RyanElliott10/slope | 3247b04181cb6696978ce544382d97fa570b862d | [
"MIT"
] | 1 | 2021-08-31T04:10:05.000Z | 2021-08-31T04:10:05.000Z | slope/models/corefres/mentionpair/data.py | RyanElliott10/slope | 3247b04181cb6696978ce544382d97fa570b862d | [
"MIT"
] | null | null | null | import pprint
from typing import List
MentionIndices = List[int]
RawMentionClusters = List[List[MentionIndices]]
pp = pprint.PrettyPrinter()
| 31.710843 | 106 | 0.616261 | from itertools import combinations, product
import pprint
from typing import List, Tuple
import numpy as np
from slope.utils.preco_parser import PreCoFileType, PreCoParser
MentionIndices = List[int]
RawMentionClusters = List[List[MentionIndices]]
pp = pprint.PrettyPrinter()
class MentionPair(object):
def __in... | 0 | 163 | 0 | 2,142 | 0 | 0 | 0 | 68 | 114 |
bcc5f415ab3d29c23264e830404576ecdb146419 | 4,816 | py | Python | doorman/webserver.py | fruch/doorman | 75bea9f5e776af6e8a0f1d5a27d8bb508bb9687d | [
"BSD-2-Clause"
] | 8 | 2016-10-23T13:00:06.000Z | 2021-03-05T13:03:24.000Z | doorman/webserver.py | fruch/doorman | 75bea9f5e776af6e8a0f1d5a27d8bb508bb9687d | [
"BSD-2-Clause"
] | null | null | null | doorman/webserver.py | fruch/doorman | 75bea9f5e776af6e8a0f1d5a27d8bb508bb9687d | [
"BSD-2-Clause"
] | 2 | 2019-05-23T13:12:47.000Z | 2021-02-15T18:34:33.000Z |
import pymongo.errors
import pymongo
from flask import Flask, g
from flask_restful import Api, reqparse
app = Flask(__name__)
api = Api(app)
app.config.from_pyfile('config.py', silent=True)
def get_resources_db():
"""Opens a new database connection if there is none yet for the
current application context.
... | 31.477124 | 121 | 0.61711 | import datetime
import json
import pymongo.errors
from bson import json_util
import pymongo
import pql
from flask import Flask, request, g
from flask_restful import Resource, Api, reqparse, abort
app = Flask(__name__)
api = Api(app)
app.config.from_pyfile('config.py', silent=True)
def get_resources_db():
"""Op... | 0 | 2,722 | 0 | 468 | 0 | 0 | 0 | 4 | 317 |
05240aa8c3b464addff9da5629d2e9178b976d59 | 2,229 | py | Python | examples/hireps/pendulum/pendulum_cart.py | hanyas/reps | 447c461b89dec516ce3368d841cfe9734be78199 | [
"MIT"
] | 8 | 2021-06-21T18:58:56.000Z | 2021-12-13T09:47:41.000Z | examples/hireps/pendulum/pendulum_cart.py | hanyas/reps | 447c461b89dec516ce3368d841cfe9734be78199 | [
"MIT"
] | null | null | null | examples/hireps/pendulum/pendulum_cart.py | hanyas/reps | 447c461b89dec516ce3368d841cfe9734be78199 | [
"MIT"
] | 1 | 2021-06-29T04:42:45.000Z | 2021-06-29T04:42:45.000Z | import numpy as np
import gym
from scipy.special import comb
import torch
from sds.distributions.gamma import Gamma
from sds.models import HybridController
from reps.hireps import hbREPS
# np.random.seed(1337)
# torch.manual_seed(1337)
torch.set_num_threads(1)
env = gym.make('Pendulum-RL-v1')
env._max_episode_steps... | 29.72 | 89 | 0.677882 | import numpy as np
import gym
import scipy as sc
from scipy.special import comb
import torch
from sds.distributions.gamma import Gamma
from sds.models import HybridController
from reps.hireps import hbREPS
# np.random.seed(1337)
# torch.manual_seed(1337)
torch.set_num_threads(1)
env = gym.make('Pendulum-RL-v1')
en... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -3 | 23 |
18c63db8476e3140408ff6aba738699a1ebfd1e2 | 3,660 | py | Python | Algorithm.Python/DividendAlgorithm.py | albertozatton/quant | 17381cb2520de0fbad328a7d7412a6e5aacb2e19 | [
"Apache-2.0"
] | 1 | 2022-03-11T09:30:09.000Z | 2022-03-11T09:30:09.000Z | Algorithm.Python/DividendAlgorithm.py | vmanjunathan/Lean | ff783a4d3abd38e6f56c8f9d55804175a421a021 | [
"Apache-2.0"
] | null | null | null | Algorithm.Python/DividendAlgorithm.py | vmanjunathan/Lean | ff783a4d3abd38e6f56c8f9d55804175a421a021 | [
"Apache-2.0"
] | 1 | 2020-08-09T21:36:47.000Z | 2020-08-09T21:36:47.000Z | # QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
# Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
#
# 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 Lic... | 48.8 | 151 | 0.694809 | ๏ปฟ# QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
# Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
#
# 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 Li... | 3 | 0 | 0 | 2,589 | 0 | 0 | 0 | 74 | 178 |
176d5912fea1a5af11e2bc7beb6f9b3f56c0ae8d | 2,730 | py | Python | adept/__init__.py | fictivekin/adept-python | 56dad62922badd238fd1614fc27ba3ad31380446 | [
"MIT"
] | 1 | 2019-01-14T11:50:04.000Z | 2019-01-14T11:50:04.000Z | adept/__init__.py | fictivekin/adept-python | 56dad62922badd238fd1614fc27ba3ad31380446 | [
"MIT"
] | null | null | null | adept/__init__.py | fictivekin/adept-python | 56dad62922badd238fd1614fc27ba3ad31380446 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
| 30.333333 | 110 | 0.545788 | # -*- coding: utf-8 -*-
import hashlib
import hmac
from urllib import quote as urlquote
from .errors import OperationError, AccountError
class Adept(object):
def __init__(self, account_id, account_key, cloudfront_hostname, default_bucket=None):
if account_id is not None:
self.account_id = acc... | 0 | 0 | 0 | 2,569 | 0 | 0 | 0 | 25 | 111 |
99714978b0b817fb700292a492f8900f1517ebec | 4,771 | py | Python | bash_to_python/tail.py | blakfeld/Bash-To-Python | d6a56dedbce1314e33e9773fa7039f25fccef1c3 | [
"MIT"
] | null | null | null | bash_to_python/tail.py | blakfeld/Bash-To-Python | d6a56dedbce1314e33e9773fa7039f25fccef1c3 | [
"MIT"
] | null | null | null | bash_to_python/tail.py | blakfeld/Bash-To-Python | d6a56dedbce1314e33e9773fa7039f25fccef1c3 | [
"MIT"
] | null | null | null | """
tail.py -- Emulate UNIX tail.
Author: Corwin Brown
E-Mail: blakfeld@gmail.com
Date: 5/24/2015
"""
| 29.269939 | 76 | 0.518759 | """
tail.py -- Emulate UNIX tail.
Author: Corwin Brown
E-Mail: blakfeld@gmail.com
Date: 5/24/2015
"""
import sys
import time
class Tail(object):
BLOCK_SIZE = 512
SLEEP_INTERVAL = 1.0
def __init__(self, stdin=None, fname=None, num_lines=10, watch=False):
"""
Constructor
Args:
... | 0 | 0 | 0 | 4,620 | 0 | 0 | 0 | -21 | 68 |
e7bd25abfac8f18d2b26d78c00a893195783ee97 | 822 | py | Python | KernelGAN/blur_images.py | geopi1/Improved_USRNet | 06395641c30f3df2986cf70f7ceee6c9a5bc0aa9 | [
"MIT"
] | 20 | 2020-08-24T07:21:30.000Z | 2021-07-09T04:20:06.000Z | KernelGAN/blur_images.py | geopi1/Improved_USRNet | 06395641c30f3df2986cf70f7ceee6c9a5bc0aa9 | [
"MIT"
] | 1 | 2020-10-21T08:02:18.000Z | 2021-01-17T23:29:58.000Z | KernelGAN/blur_images.py | geopi1/Improved_USRNet | 06395641c30f3df2986cf70f7ceee6c9a5bc0aa9 | [
"MIT"
] | 3 | 2020-11-19T05:17:10.000Z | 2021-05-04T11:01:10.000Z | import numpy as np
import cv2 as cv
from matplotlib import pyplot as plt
from scipy.ndimage.filters import gaussian_filter
img = cv.imread('/home/george/PycharmProjects/Statistical_im_proc/KernelGAN/test.jpg')
kernel = np.ones((17,17),np.float32)/289
dst = cv.filter2D(img,-1,kernel)
g_img = gaussian_filter(img, [1,1... | 37.363636 | 97 | 0.733577 | import numpy as np
import cv2 as cv
from matplotlib import pyplot as plt
from scipy.ndimage.filters import gaussian_filter
img = cv.imread('/home/george/PycharmProjects/Statistical_im_proc/KernelGAN/test.jpg')
kernel = np.ones((17,17),np.float32)/289
dst = cv.filter2D(img,-1,kernel)
g_img = gaussian_filter(img, [1,1... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b148aa310011894324b56d871905e3d3bdc30a06 | 2,550 | py | Python | examples/sample_iso_cliques.py | AtsushiHashimoto/isolated_clique_enumeration | 9ff817f57d929b5db07265fe6d85013c13825869 | [
"MIT"
] | null | null | null | examples/sample_iso_cliques.py | AtsushiHashimoto/isolated_clique_enumeration | 9ff817f57d929b5db07265fe6d85013c13825869 | [
"MIT"
] | null | null | null | examples/sample_iso_cliques.py | AtsushiHashimoto/isolated_clique_enumeration | 9ff817f57d929b5db07265fe6d85013c13825869 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
import sys
sys.path.append('../isoclique')
import isoclique as ic
import networkx as nx
import matplotlib.pyplot as plt
import time
if __name__ == '__main__':
E = nx.karate_club_graph().edges()
start = time.time()
ic_graph = ic.IsolatedCliques(E)
elaps... | 28.651685 | 83 | 0.626275 | #!/usr/bin/env python
# coding: utf-8
import sys
sys.path.append('../isoclique')
import isoclique as ic
import networkx as nx
import matplotlib.pyplot as plt
import random
import math
import time
def generate_random_color():
return '#{:X}{:X}{:X}'.format(*[random.randint(16, 255) for _ in range(3)])
def generate... | 0 | 0 | 0 | 0 | 0 | 252 | 0 | -18 | 116 |
10e2930227e6a62d0a350d6fdef2abb269d54845 | 4,920 | py | Python | run_ensemble.py | gnkm/kaggle.house-prices | 5fd1fcc9fcf8e191c0729ab6244b01180d44f535 | [
"MIT"
] | null | null | null | run_ensemble.py | gnkm/kaggle.house-prices | 5fd1fcc9fcf8e191c0729ab6244b01180d44f535 | [
"MIT"
] | null | null | null | run_ensemble.py | gnkm/kaggle.house-prices | 5fd1fcc9fcf8e191c0729ab6244b01180d44f535 | [
"MIT"
] | null | null | null | import argparse
from datetime import datetime as dt
from lightgbm import LGBMRegressor
import numpy as np
import pandas as pd
from sklearn.ensemble import GradientBoostingRegressor, RandomForestRegressor, StackingRegressor
from sklearn.kernel_ridge import KernelRidge
from sklearn.linear_model import ElasticNet, Lasso
f... | 27.333333 | 96 | 0.74878 | import argparse
from datetime import datetime as dt
from lightgbm import LGBMRegressor
import numpy as np
import pandas as pd
from sklearn.ensemble import GradientBoostingRegressor, RandomForestRegressor, StackingRegressor
from sklearn.kernel_ridge import KernelRidge
from sklearn.linear_model import ElasticNet, Lasso, ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 84 | 66 |
500b280c30d2110068a5ebf3ccc96e2778c5344d | 807 | py | Python | Python/HotelPrices/solution.py | cs-mshah/AlgoCode | 0d6556483c08f63166fd74d4ff80fb48d75e4a63 | [
"MIT"
] | 151 | 2020-10-01T07:38:26.000Z | 2022-03-31T10:07:55.000Z | Python/HotelPrices/solution.py | cs-mshah/AlgoCode | 0d6556483c08f63166fd74d4ff80fb48d75e4a63 | [
"MIT"
] | 285 | 2020-10-01T09:34:29.000Z | 2021-08-02T12:13:49.000Z | Python/HotelPrices/solution.py | cs-mshah/AlgoCode | 0d6556483c08f63166fd74d4ff80fb48d75e4a63 | [
"MIT"
] | 275 | 2020-10-01T09:43:51.000Z | 2022-03-30T19:30:53.000Z |
# object created and method calling
objHotel = hotel()
objHotel.calculateFee()
| 29.888889 | 69 | 0.525403 | class hotel():
def calculateFee(self):
"""
This Method calculates cost of hotel room based
on described scenario.
:return:
none.
"""
testCases = int(input("Enter no of test cases:"))
totalCost = 0
while (testCases != 0):
... | 0 | 0 | 0 | 698 | 0 | 0 | 0 | 0 | 23 |
985bde9d000f6e6ceedb6a8dd30d3f11831b4cdb | 497 | py | Python | Python/Shape Constrained risk measures/Prototype code ( not cleaned )/plot.py | MohamedMkaouar/Some_Projects | 8170126dc91f313638595f9f4b81e9ae8b308334 | [
"Apache-2.0"
] | null | null | null | Python/Shape Constrained risk measures/Prototype code ( not cleaned )/plot.py | MohamedMkaouar/Some_Projects | 8170126dc91f313638595f9f4b81e9ae8b308334 | [
"Apache-2.0"
] | null | null | null | Python/Shape Constrained risk measures/Prototype code ( not cleaned )/plot.py | MohamedMkaouar/Some_Projects | 8170126dc91f313638595f9f4b81e9ae8b308334 | [
"Apache-2.0"
] | 1 | 2021-02-02T17:09:04.000Z | 2021-02-02T17:09:04.000Z | test=np.arange(-2,2,0.1)
v1=[]
v2=[]
v3=[]
for i in test:
i=cp.Constant(i)
v1.append(pinball(i,0.2).value)
v2.append(pinball(i,0.5).value)
v3.append(pinball(i,0.8).value)
plt.plot(test,v1,label="$\\tau=0.2$")
plt.plot(test,v2,label="$\\tau=0.5$")
plt.plot(test,v3,label="$\\tau=0.8$")
plt.x... | 23.666667 | 48 | 0.585513 | test=np.arange(-2,2,0.1)
v1=[]
v2=[]
v3=[]
for i in test:
i=cp.Constant(i)
v1.append(pinball(i,0.2).value)
v2.append(pinball(i,0.5).value)
v3.append(pinball(i,0.8).value)
plt.plot(test,v1,label="$\\tau=0.2$")
plt.plot(test,v2,label="$\\tau=0.5$")
plt.plot(test,v3,label="$\\tau=0.8$")
plt.x... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
005b4ddbd559ece75bff42e2ee12e7619e1eb168 | 30,771 | py | Python | venv/lib/python3.8/site-packages/gtfs_kit/routes.py | MaximilianJanetschek/Urban_Intermodal_Transportation | 632caf668636448dc9290d54cf1c7b527c68a957 | [
"MIT"
] | null | null | null | venv/lib/python3.8/site-packages/gtfs_kit/routes.py | MaximilianJanetschek/Urban_Intermodal_Transportation | 632caf668636448dc9290d54cf1c7b527c68a957 | [
"MIT"
] | null | null | null | venv/lib/python3.8/site-packages/gtfs_kit/routes.py | MaximilianJanetschek/Urban_Intermodal_Transportation | 632caf668636448dc9290d54cf1c7b527c68a957 | [
"MIT"
] | null | null | null | """
Functions about routes.
"""
from typing import Optional, Iterable, List, Dict, TYPE_CHECKING
import json
import geopandas as gp
import pandas as pd
import numpy as np
import shapely.geometry as sg
import shapely.ops as so
import folium as fl
from . import constants as cs
from . import helpers as hp
# Help mypy b... | 35.491349 | 99 | 0.624192 | """
Functions about routes.
"""
from collections import OrderedDict
from typing import Optional, Iterable, List, Dict, TYPE_CHECKING
import json
import geopandas as gp
import pandas as pd
import numpy as np
import shapely.geometry as sg
import shapely.ops as so
import folium as fl
from . import constants as cs
from .... | 0 | 0 | 0 | 0 | 0 | 3,859 | 0 | 14 | 159 |
55261d12666c02ea8f67b72d2e1ed2b304a01b9b | 405 | py | Python | instagram_api/response/user_story_feed.py | Yuego/instagram_api | b53f72db36c505a2eb24ebac1ba8267a0cc295bb | [
"MIT"
] | 13 | 2019-08-07T21:24:34.000Z | 2020-12-12T12:23:50.000Z | instagram_api/response/user_story_feed.py | Yuego/instagram_api | b53f72db36c505a2eb24ebac1ba8267a0cc295bb | [
"MIT"
] | null | null | null | instagram_api/response/user_story_feed.py | Yuego/instagram_api | b53f72db36c505a2eb24ebac1ba8267a0cc295bb | [
"MIT"
] | null | null | null |
__all__ = ['UserStoryFeedResponse']
| 25.3125 | 73 | 0.814815 | from .mapper import ApiResponse, ApiResponseInterface
from .mapper.types import Timestamp, AnyType
from .model import Broadcast, PostLiveItem, Reel
__all__ = ['UserStoryFeedResponse']
class UserStoryFeedResponseInterface(ApiResponseInterface):
broadcast: Broadcast
reel: Reel
post_live_item: PostLiveItem
... | 0 | 0 | 0 | 172 | 0 | 0 | 0 | 82 | 112 |
003530ab7e606f4f6731fe033677de163d5cdf63 | 2,640 | py | Python | b_tree/binary_search_tree/sum_of_common_nodes_in_bst.py | rjsnh1522/geeks-4-geeks-python | 9bea0ce4f3fae9b5f9e5952fb5b4b3a8c6186cf4 | [
"MIT"
] | null | null | null | b_tree/binary_search_tree/sum_of_common_nodes_in_bst.py | rjsnh1522/geeks-4-geeks-python | 9bea0ce4f3fae9b5f9e5952fb5b4b3a8c6186cf4 | [
"MIT"
] | 5 | 2021-03-10T11:49:39.000Z | 2022-02-27T01:35:59.000Z | b_tree/binary_search_tree/sum_of_common_nodes_in_bst.py | rjsnh1522/geeks-4-geeks-python | 9bea0ce4f3fae9b5f9e5952fb5b4b3a8c6186cf4 | [
"MIT"
] | null | null | null | # Definition for a binary tree node
# tree 1
t5 = TreeNode(5)
t2 = TreeNode(2)
t3 = TreeNode(3)
t5.left = t2
t2.right = t3
t8 = TreeNode(8)
t5.right = t8
t15 = TreeNode(15)
t8.right = t15
t7 = TreeNode(7)
t15.left = t7
# tree 2
b7 = TreeNode(7)
b1 = TreeNode(1)
b2 = TreeNode(2)
b10 = TreeNode(10)
b15 = TreeNo... | 20.787402 | 50 | 0.507197 | # Definition for a binary tree node
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution:
# @param A : root node of tree
# @param B : root node of tree
# @return an integer
def in_order_traversal(self, root):
curren... | 0 | 0 | 0 | 1,218 | 0 | 0 | 0 | 0 | 45 |
2707c7185ae66c32193ea16931b8b78b32de7be0 | 1,039 | py | Python | autonomous-fleet/afm-auction_house/server/migrations/0002_auto_20200622_0946.py | CodexWorks/autonomous-fleet | 26fd71e9b2e6ee1d97e04959c3a31c094fc40bc6 | [
"BSD-3-Clause"
] | null | null | null | autonomous-fleet/afm-auction_house/server/migrations/0002_auto_20200622_0946.py | CodexWorks/autonomous-fleet | 26fd71e9b2e6ee1d97e04959c3a31c094fc40bc6 | [
"BSD-3-Clause"
] | 3 | 2020-05-14T14:30:00.000Z | 2020-06-09T15:03:12.000Z | autonomous-fleet/afm-auction_house/server/migrations/0002_auto_20200622_0946.py | CodexWorks/autonomous-fleet | 26fd71e9b2e6ee1d97e04959c3a31c094fc40bc6 | [
"BSD-3-Clause"
] | 1 | 2020-06-10T09:30:32.000Z | 2020-06-10T09:30:32.000Z | # Generated by Django 3.0.7 on 2020-06-22 06:46
| 25.341463 | 74 | 0.533205 | # Generated by Django 3.0.7 on 2020-06-22 06:46
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('server', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_name='text',
name='main_title',
),
... | 0 | 0 | 0 | 925 | 0 | 0 | 0 | 19 | 46 |
702293d9777a391ba191cfd89a932a4b0167e14b | 268 | py | Python | BeyondChaos/constants.py | emberling/BeyondChaosRandomizer | 2f69752611e25146a29aef51044d0446d4e80332 | [
"MIT"
] | 1 | 2021-06-15T03:54:53.000Z | 2021-06-15T03:54:53.000Z | BeyondChaos/constants.py | emberling/BeyondChaosRandomizer | 2f69752611e25146a29aef51044d0446d4e80332 | [
"MIT"
] | 1 | 2021-09-13T04:32:43.000Z | 2021-09-13T04:32:43.000Z | BeyondChaos/Constants.py | razzlestorm/BeyondChaosRandomizer | 04a0acdcd9d4c3991a3e42cf1bba4299adda4435 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
#plans a lot of the "magic string" text will move into here to make modifying them alot easier on the fly.
UpdateFound = "Applying update..."
UpdateLaunching = "Launching the updater application. This application will now close automatically." | 44.666667 | 106 | 0.776119 | #!/usr/bin/env python3
#plans a lot of the "magic string" text will move into here to make modifying them alot easier on the fly.
UpdateFound = "Applying update..."
UpdateLaunching = "Launching the updater application. This application will now close automatically." | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5028b9618c72260c18e7e30aa727af8e41dfc7a6 | 7,222 | py | Python | app/label_maker/real/generate_labels.py | yuecideng/Misc3D | a4554b171d72e03ac8d03880523934a39a9ff515 | [
"MIT"
] | 13 | 2022-02-09T11:56:20.000Z | 2022-03-31T15:45:04.000Z | app/label_maker/real/generate_labels.py | yuecideng/Misc3D | a4554b171d72e03ac8d03880523934a39a9ff515 | [
"MIT"
] | 7 | 2022-02-26T08:58:43.000Z | 2022-03-29T11:19:05.000Z | app/label_maker/real/generate_labels.py | yuecideng/Misc3D | a4554b171d72e03ac8d03880523934a39a9ff515 | [
"MIT"
] | 5 | 2022-02-16T06:59:00.000Z | 2022-03-31T12:03:11.000Z | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import time
import argparse
import os
import cv2
import numpy as np
import misc3d as m3d
import json
from utils import Colors
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--model_path', help='path to CAD model')
pars... | 34.721154 | 123 | 0.620742 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import time
import argparse
import os
import cv2
import shutil
import numpy as np
import open3d as o3d
import misc3d as m3d
import json
from utils import Colors, mask_to_bbox, rgbd_to_pointcloud
def remove_and_create_dir(dir_path):
mask_path = os.path.join(dir_path, 'm... | 0 | 0 | 0 | 0 | 0 | 3,836 | 0 | 25 | 205 |
2fc2dadded385489f36ae8202bdaf7d1a553a3eb | 1,435 | py | Python | step by step/Dominant topic.py | YuchenTan777/CCI-S2-Coding-Two-Final | 0f2faacbae741c0809f6de3f8ef2d5c16a009583 | [
"MIT"
] | null | null | null | step by step/Dominant topic.py | YuchenTan777/CCI-S2-Coding-Two-Final | 0f2faacbae741c0809f6de3f8ef2d5c16a009583 | [
"MIT"
] | null | null | null | step by step/Dominant topic.py | YuchenTan777/CCI-S2-Coding-Two-Final | 0f2faacbae741c0809f6de3f8ef2d5c16a009583 | [
"MIT"
] | null | null | null |
df_topic_sents_keywords = format_topics_sentences(ldamodel=lda_model, corpus=corpus, texts=data_ready)
# Format
df_dominant_topic = df_topic_sents_keywords.reset_index()
df_dominant_topic.columns = ['Document_No', 'Dominant_Topic', 'Topic_Perc_Contrib', 'Keywords', 'Text']
df_dominant_topic.head(10)
| 44.84375 | 139 | 0.681533 | def format_topics_sentences(ldamodel=None, corpus=corpus, texts=data):
# Init output
sent_topics_df = pd.DataFrame()
# Get main topic in each document
for i, row_list in enumerate(ldamodel[corpus]):
row = row_list[0] if ldamodel.per_word_topics else row_list
# print(row)
... | 0 | 0 | 0 | 0 | 0 | 1,109 | 0 | 0 | 22 |
31b014feff5c20c649627b27c2443f43f373894c | 410 | py | Python | _init_paths.py | klo9klo9kloi/win_det_heatmaps | fc427bcd593831d627698455b8917eb37add3f6e | [
"MIT"
] | 29 | 2020-07-27T10:49:09.000Z | 2022-03-17T02:15:03.000Z | _init_paths.py | klo9klo9kloi/win_det_heatmaps | fc427bcd593831d627698455b8917eb37add3f6e | [
"MIT"
] | 6 | 2020-09-30T01:51:34.000Z | 2022-01-02T08:00:22.000Z | _init_paths.py | klo9klo9kloi/win_det_heatmaps | fc427bcd593831d627698455b8917eb37add3f6e | [
"MIT"
] | 10 | 2020-07-31T00:43:38.000Z | 2022-03-07T02:45:25.000Z | import os
import sys
this_dir = os.path.dirname(__file__)
add_path(os.path.join(this_dir))
add_path(os.path.join(this_dir, 'common'))
add_path(os.path.join(this_dir, 'common_pytorch'))
print("=================SYS PATH================")
for path in sys.path:
print(path)
print("=================SYS PATH============... | 24.117647 | 50 | 0.595122 | import os
import sys
def add_path(path):
if path not in sys.path:
sys.path.insert(0, path)
this_dir = os.path.dirname(__file__)
add_path(os.path.join(this_dir))
add_path(os.path.join(this_dir, 'common'))
add_path(os.path.join(this_dir, 'common_pytorch'))
print("=================SYS PATH================")... | 0 | 0 | 0 | 0 | 0 | 60 | 0 | 0 | 23 |
22d1d15046cddd021171b44b762d0bc39889be72 | 8,131 | py | Python | stephanie_protocol/step1_template.py | caseystone/ot2-protocols | ca8ae72b5298c8064d91139f266996d0cb4d03cc | [
"MIT"
] | null | null | null | stephanie_protocol/step1_template.py | caseystone/ot2-protocols | ca8ae72b5298c8064d91139f266996d0cb4d03cc | [
"MIT"
] | null | null | null | stephanie_protocol/step1_template.py | caseystone/ot2-protocols | ca8ae72b5298c8064d91139f266996d0cb4d03cc | [
"MIT"
] | null | null | null | ### start
import sys
import os
### end
"""
step1_tepmplate.py
Description: Generates python protocol file that can be uploaded directly to Opentrons app
Usage: python step1_template.py -r <number of reactions> -f <output file name>
ex. pyhton step1_template.py -r 96 -f protocol1.py
Note: Make sure yo... | 34.163866 | 136 | 0.64002 | ### start
import profile
import sys
import os
import pandas as pd
from opentrons import protocol_api, simulate, execute
import json
import argparse
### end
"""
step1_tepmplate.py
Description: Generates python protocol file that can be uploaded directly to Opentrons app
Usage: python step1_template.py -r <number of... | 0 | 0 | 0 | 0 | 0 | 3,248 | 0 | 7 | 156 |
544feca6b337dade97f3293e72f1e900e9812832 | 6,173 | py | Python | ceilometer/tests/db.py | aristanetworks/ceilometer | 8776b137f82f71eef1241bcb1600de10c1f77394 | [
"Apache-2.0"
] | null | null | null | ceilometer/tests/db.py | aristanetworks/ceilometer | 8776b137f82f71eef1241bcb1600de10c1f77394 | [
"Apache-2.0"
] | null | null | null | ceilometer/tests/db.py | aristanetworks/ceilometer | 8776b137f82f71eef1241bcb1600de10c1f77394 | [
"Apache-2.0"
] | null | null | null | #
# Copyright 2012 New Dream Network, LLC (DreamHost)
# Copyright 2013 eNovance
#
# Author: Doug Hellmann <doug.hellmann@dreamhost.com>
# Julien Danjou <julien@danjou.info>
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You ... | 32.319372 | 79 | 0.634861 | #
# Copyright 2012 New Dream Network, LLC (DreamHost)
# Copyright 2013 eNovance
#
# Author: Doug Hellmann <doug.hellmann@dreamhost.com>
# Julien Danjou <julien@danjou.info>
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You ... | 0 | 744 | 0 | 3,598 | 0 | 375 | 0 | 108 | 407 |
6050d946cca8c0645650b5ae57129fc0fbaca682 | 23,113 | py | Python | src/nli/modified_esim_v1_0.py | Derrors/Combine-FEVER-NSMN | e3458ee99f086e3d44c9da3ec3e2885511cd42c2 | [
"MIT"
] | 4 | 2020-10-09T16:46:56.000Z | 2022-01-03T18:42:24.000Z | src/nli/modified_esim_v1_0.py | Frankey419/combine-FEVER-NSMN | 8577ad47092c052d6c0456415cb2eebc2a392984 | [
"MIT"
] | 4 | 2020-11-02T01:00:33.000Z | 2020-11-02T01:07:45.000Z | src/nli/modified_esim_v1_0.py | Frankey419/combine-FEVER-NSMN | 8577ad47092c052d6c0456415cb2eebc2a392984 | [
"MIT"
] | 2 | 2020-12-10T12:50:45.000Z | 2021-03-06T11:26:53.000Z | import torch.optim as optim
if __name__ == "__main__":
# train_fever()
# hidden_eval_fever()
spectrum_eval_manual_check() | 37.76634 | 198 | 0.662008 | import torch
from allennlp.data.iterators import BasicIterator
from allennlp.data.token_indexers import SingleIdTokenIndexer, ELMoTokenCharactersIndexer
from allennlp.modules import Embedding, Elmo
from torch import nn
import os
import config
from data_util.data_readers.fever_reader import BasicReader
from data_util.... | 0 | 0 | 0 | 6,583 | 0 | 15,394 | 0 | 358 | 632 |
3ccf1d20e9550ceb4e18ff07cf68d4676f4502b9 | 537 | py | Python | educative/course1/arrays/ch3_add_upto_n_1.py | liveroot/ambition2020 | f312aa684caab5da82504c2bcd98bef64d102caf | [
"MIT"
] | null | null | null | educative/course1/arrays/ch3_add_upto_n_1.py | liveroot/ambition2020 | f312aa684caab5da82504c2bcd98bef64d102caf | [
"MIT"
] | null | null | null | educative/course1/arrays/ch3_add_upto_n_1.py | liveroot/ambition2020 | f312aa684caab5da82504c2bcd98bef64d102caf | [
"MIT"
] | 1 | 2019-12-27T01:08:08.000Z | 2019-12-27T01:08:08.000Z | array = [1, 21, 3, 14, 5, 60, 7, 6]
n = 27
result = "[21, 6] or [6, 21]"
# iterate both arrays in a nested loop, check for sum == n, return when pair is found
print("Input: " + "array = " + str(array) + ", " + "n = " + str(n))
print("Expected: " + str(result))
print("Output: " + str(add_upto_n_1(array, n)))
| 22.375 | 85 | 0.510242 | array = [1, 21, 3, 14, 5, 60, 7, 6]
n = 27
result = "[21, 6] or [6, 21]"
# iterate both arrays in a nested loop, check for sum == n, return when pair is found
def add_upto_n_1(arr, n):
output = []
for x in arr:
for y in arr:
if x + y == n:
output.append(x)
... | 0 | 0 | 0 | 0 | 0 | 201 | 0 | 0 | 23 |
90ef0d2c16b49b287d1c5badd6ad2ca0f4bad954 | 7,959 | py | Python | nlp_toolkit/tools/farasa.py | abdelrahman-t/nlp-toolkit | 2617c5c91d369279fe73ea213709a4c29ffc6605 | [
"MIT"
] | 1 | 2019-05-22T12:12:28.000Z | 2019-05-22T12:12:28.000Z | nlp_toolkit/tools/farasa.py | abdelrahman-t/nlp-toolkit | 2617c5c91d369279fe73ea213709a4c29ffc6605 | [
"MIT"
] | null | null | null | nlp_toolkit/tools/farasa.py | abdelrahman-t/nlp-toolkit | 2617c5c91d369279fe73ea213709a4c29ffc6605 | [
"MIT"
] | 1 | 2020-04-04T14:30:29.000Z | 2020-04-04T14:30:29.000Z | """
Pythonic and thread-safe wrapper around Farasa.
Farasa is developed at QCRI and can be found at http://qatsdemo.cloudapp.net/farasa/
Paper can be found at http://www.aclweb.org/anthology/N16-3003
"""
import logging
import nlp_toolkit.dependencies as dependencies
from .utils import setup_logger
LOGGER = setup_lo... | 31.963855 | 94 | 0.582108 | """
Pythonic and thread-safe wrapper around Farasa.
Farasa is developed at QCRI and can be found at http://qatsdemo.cloudapp.net/farasa/
Paper can be found at http://www.aclweb.org/anthology/N16-3003
"""
import logging
from collections import defaultdict
from operator import concat, itemgetter
from threading import RL... | 0 | 4,295 | 0 | 2,800 | 0 | 0 | 0 | 149 | 156 |
e151479c93a744211f6cfbfa208a26ae6d6d7fb4 | 597 | py | Python | tests/cars.py | ganmodokix/vaetc | 866b79677b4f06603203376d967989dedadbffae | [
"MIT"
] | null | null | null | tests/cars.py | ganmodokix/vaetc | 866b79677b4f06603203376d967989dedadbffae | [
"MIT"
] | null | null | null | tests/cars.py | ganmodokix/vaetc | 866b79677b4f06603203376d967989dedadbffae | [
"MIT"
] | null | null | null | import os, sys
import yaml
sys.path.append(os.path.dirname(__file__) + '/../')
import vaetc
if __name__ == "__main__":
checkpoint = vaetc.Checkpoint(options={
"model_name": "vae",
"dataset": "cars",
"epochs": 512,
"batch_size": 256,
"logger_path": "runs.tests/cars",
... | 20.586207 | 51 | 0.564489 | import os, sys
import yaml
import torch
sys.path.append(os.path.dirname(__file__) + '/../')
import vaetc
if __name__ == "__main__":
checkpoint = vaetc.Checkpoint(options={
"model_name": "vae",
"dataset": "cars",
"epochs": 512,
"batch_size": 256,
"logger_path": "runs.test... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -9 | 23 |
15c8c9a3ffaf7fa04e27d51c7f0037d2ac150f9b | 1,224 | py | Python | rex/exploit/shellcodes/linux_amd64_connectback.py | tiedaoxiaotubie/rex | 049bbce3ab2717cbb4d2f0fc10fe8c0433b39c1d | [
"BSD-2-Clause"
] | 1 | 2021-01-22T11:25:40.000Z | 2021-01-22T11:25:40.000Z | rex/exploit/shellcodes/linux_amd64_connectback.py | tiedaoxiaotubie/rex | 049bbce3ab2717cbb4d2f0fc10fe8c0433b39c1d | [
"BSD-2-Clause"
] | null | null | null | rex/exploit/shellcodes/linux_amd64_connectback.py | tiedaoxiaotubie/rex | 049bbce3ab2717cbb4d2f0fc10fe8c0433b39c1d | [
"BSD-2-Clause"
] | 1 | 2020-09-16T07:07:28.000Z | 2020-09-16T07:07:28.000Z | import logging
l = logging.getLogger("rex.exploit.shellcodes.linux_amd64_connectback")
| 33.081081 | 245 | 0.716503 | import socket
import struct
import logging
from rex.exploit.shellcode import Shellcode
l = logging.getLogger("rex.exploit.shellcodes.linux_amd64_connectback")
class LinuxAMD64Connectback(Shellcode):
# TODO: should be 'linux' once CLE can identify linux files
supported_platforms = ["unix"]
arch = "AMD64"... | 0 | 0 | 0 | 1,041 | 0 | 0 | 0 | 6 | 89 |
f6c2251d9ad5a3d88156559765bec4c7ee6737d7 | 25,182 | py | Python | gluon/packages/dal/pydal/adapters/mongo.py | crania/dockconfig | ed981b9efefd6de8a00e0ec9d6c2530e1452fd17 | [
"BSD-3-Clause"
] | 2 | 2015-07-05T12:25:08.000Z | 2015-07-05T15:39:32.000Z | gluon/packages/dal/pydal/adapters/mongo.py | crania/dockconfig | ed981b9efefd6de8a00e0ec9d6c2530e1452fd17 | [
"BSD-3-Clause"
] | null | null | null | gluon/packages/dal/pydal/adapters/mongo.py | crania/dockconfig | ed981b9efefd6de8a00e0ec9d6c2530e1452fd17 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from .._compat import integer_types
try:
from bson.binary import USER_DEFINED_SUBTYPE
except:
USER_DEFINED_SUBTYPE = 0
long = integer_types[-1]
| 37.529061 | 80 | 0.560797 | # -*- coding: utf-8 -*-
import datetime
import re
from .._globals import IDENTITY
from .._compat import integer_types, basestring
from ..objects import Table, Query, Field, Expression
from ..helpers.classes import SQLALL, Reference
from ..helpers.methods import use_common_filters, xorify
from .base import NoSQLAdapter... | 0 | 275 | 0 | 24,368 | 0 | 0 | 0 | 108 | 253 |
751978667c9b933dfa751e93be53aa234dc1a2f2 | 897 | py | Python | ogs5py/fileclasses/asc/core.py | MuellerSeb/ogs5py | 752e7bd2298fbd476406d168f6b7d1a85863dccd | [
"MIT"
] | 3 | 2018-05-27T15:39:07.000Z | 2018-10-29T17:02:11.000Z | ogs5py/fileclasses/asc/core.py | MuellerSeb/ogs5py | 752e7bd2298fbd476406d168f6b7d1a85863dccd | [
"MIT"
] | 1 | 2018-11-12T11:32:12.000Z | 2018-11-12T13:07:48.000Z | ogs5py/fileclasses/asc/core.py | MuellerSeb/ogs5py | 752e7bd2298fbd476406d168f6b7d1a85863dccd | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Class for the ogs ASC file."""
| 23.605263 | 77 | 0.595318 | # -*- coding: utf-8 -*-
"""Class for the ogs ASC file."""
from ogs5py.fileclasses.base import LineFile
class ASC(LineFile):
"""
Class for the ogs ASC file.
Parameters
----------
lines : list of str, optional
content of the file as a list of lines
Default: None
name : str, opti... | 0 | 0 | 0 | 770 | 0 | 0 | 0 | 23 | 45 |
d2ba4b0ec04f23a3715468b1721b22e8bd62bf9f | 4,361 | py | Python | Newcastle University/FewCloudComputing/Load.py | haoranD/Postgraduate-Master | b297211eeb20e3dc5535fefc84e1e0c2b71ddaa3 | [
"MIT"
] | null | null | null | Newcastle University/FewCloudComputing/Load.py | haoranD/Postgraduate-Master | b297211eeb20e3dc5535fefc84e1e0c2b71ddaa3 | [
"MIT"
] | null | null | null | Newcastle University/FewCloudComputing/Load.py | haoranD/Postgraduate-Master | b297211eeb20e3dc5535fefc84e1e0c2b71ddaa3 | [
"MIT"
] | 1 | 2019-12-08T03:14:15.000Z | 2019-12-08T03:14:15.000Z | import sys
import time
import matplotlib.mlab as mlab
import csv
#Generate a list of random number from Normal distribution
#Generate a list of random number from Poisson distribution
# Visualize the number we generated
#Connect to url
if __name__ == '__main__':
# How many parameters w... | 39.645455 | 90 | 0.575327 | import sys
import numpy
import time
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt
import urllib
import csv
import time
#Generate a list of random number from Normal distribution
def gettimelistbyN(para1, para2, size):
timelistN = numpy.random.normal(loc=para1, scale=para2, size=size)
... | 6 | 0 | 0 | 0 | 0 | 2,124 | 0 | -17 | 184 |
1ebb0e2aefaa78274c44b66323485a579a2f7e3a | 3,675 | py | Python | src/python/nimbusml/examples/EnsembleClassifier.py | michaelgsharp/NimbusML | 50031157265f49eec85d27fe67582d9ddaf01ef9 | [
"MIT"
] | 134 | 2018-11-01T22:15:24.000Z | 2019-05-04T11:30:08.000Z | src/python/nimbusml/examples/EnsembleClassifier.py | michaelgsharp/NimbusML | 50031157265f49eec85d27fe67582d9ddaf01ef9 | [
"MIT"
] | 226 | 2019-05-07T19:00:44.000Z | 2021-01-06T07:59:48.000Z | src/python/nimbusml/examples/EnsembleClassifier.py | michaelgsharp/NimbusML | 50031157265f49eec85d27fe67582d9ddaf01ef9 | [
"MIT"
] | 43 | 2019-05-15T20:19:42.000Z | 2022-03-30T10:26:07.000Z | ###############################################################################
# EnsembleClassifier
from nimbusml import Pipeline, FileDataStream
from nimbusml.datasets import get_dataset
from nimbusml.feature_extraction.categorical import OneHotVectorizer
from nimbusml.ensemble import EnsembleClassifier
from nimbusml... | 43.235294 | 86 | 0.578503 | ###############################################################################
# EnsembleClassifier
from nimbusml import Pipeline, FileDataStream
from nimbusml.datasets import get_dataset
from nimbusml.feature_extraction.categorical import OneHotVectorizer
from nimbusml.ensemble import EnsembleClassifier
from nimbusml... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c50880c9f81ec471512cd26e3870a7cb328aba45 | 2,365 | py | Python | lte/gateway/python/integ_tests/s1aptests/test_s1setup_incorrect_plmn.py | saurabhsoni88/magma | 4236c9d8edb7bd203707ff7e861b1f7c12fb84c7 | [
"BSD-3-Clause"
] | 2 | 2020-12-09T11:42:30.000Z | 2021-09-26T03:28:33.000Z | lte/gateway/python/integ_tests/s1aptests/test_s1setup_incorrect_plmn.py | saurabhsoni88/magma | 4236c9d8edb7bd203707ff7e861b1f7c12fb84c7 | [
"BSD-3-Clause"
] | 151 | 2020-09-03T20:44:13.000Z | 2022-03-31T20:28:52.000Z | lte/gateway/python/integ_tests/s1aptests/test_s1setup_incorrect_plmn.py | kkahrs/magma | 73e666627dc28e0c492feab7321bb7d6dd433b09 | [
"BSD-3-Clause"
] | 2 | 2021-05-27T18:15:16.000Z | 2021-05-27T18:41:39.000Z | """
Copyright 2020 The Magma Authors.
This source code is licensed under the BSD-style license found in the
LICENSE file in the root directory of this source tree.
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES O... | 36.953125 | 78 | 0.668922 | """
Copyright 2020 The Magma Authors.
This source code is licensed under the BSD-style license found in the
LICENSE file in the root directory of this source tree.
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES O... | 0 | 0 | 0 | 1,713 | 0 | 0 | 0 | 20 | 89 |
ec7e896333522e77965ed3aa0a3b8527b6fb7d82 | 2,714 | py | Python | api/views/estate.py | sirghiny/Real-Estate-Manager | 10272feec22c40da7f927219225b8d2e27a20e38 | [
"MIT"
] | null | null | null | api/views/estate.py | sirghiny/Real-Estate-Manager | 10272feec22c40da7f927219225b8d2e27a20e38 | [
"MIT"
] | 1 | 2018-05-09T13:17:41.000Z | 2018-05-09T13:17:41.000Z | api/views/estate.py | sirghiny/Real-Estate-Manager | 10272feec22c40da7f927219225b8d2e27a20e38 | [
"MIT"
] | 2 | 2018-05-01T15:03:13.000Z | 2019-10-28T13:59:29.000Z | """Estate manipulation functionality."""
| 30.155556 | 74 | 0.517686 | """Estate manipulation functionality."""
from flask import request
from flask_restful import Resource
from api.helpers.modelops import get_boards, get_estates
from api.helpers.validation import validate_json
from api.models import Estate
class EstateResource(Resource):
"""View functions for estates."""
def... | 0 | 0 | 0 | 2,426 | 0 | 0 | 0 | 87 | 158 |
5ae4dfd0e7e700b5e5ca748a5ebfbe8d81ff66ab | 1,192 | py | Python | ensemble.py | piotrmirowski/DependencyTreeRnn | 8211a4ff4d0708dab83079295f9b768ebaeae68a | [
"BSD-3-Clause"
] | 39 | 2015-07-07T06:17:06.000Z | 2021-05-02T23:14:41.000Z | ensemble.py | zjh-nudger/DependencyRNN | c48c25c153551f340de704edf35b8831eab6e7a2 | [
"BSD-3-Clause"
] | 3 | 2016-06-21T02:58:04.000Z | 2016-07-05T17:27:55.000Z | ensemble.py | zjh-nudger/DependencyRNN | c48c25c153551f340de704edf35b8831eab6e7a2 | [
"BSD-3-Clause"
] | 11 | 2015-07-07T17:43:30.000Z | 2019-09-18T03:39:52.000Z | # first arg gold, following ones files with scores to ensemble
import sys
goldFile = sys.argv[1]
answers = []
for line in open(goldFile).readlines():
answers.append(int(line.strip()))
print "loaded " + str(len(answers)) + " answers"
# an array with an array per model to be ensebled
individualSentencePredictio... | 23.84 | 62 | 0.661074 | # first arg gold, following ones files with scores to ensemble
import sys
goldFile = sys.argv[1]
answers = []
for line in open(goldFile).readlines():
answers.append(int(line.strip()))
print "loaded " + str(len(answers)) + " answers"
# an array with an array per model to be ensebled
individualSentencePredictio... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
444c86d26250a7f57c0ea4bb01d3e3286fcbf2ee | 54,114 | py | Python | animation/face_editor.py | jzboylxj/XDLibs | 76ab640502d7e254bc98930d6ebb9e870476ed9a | [
"MIT"
] | 1 | 2021-03-11T02:24:08.000Z | 2021-03-11T02:24:08.000Z | animation/face_editor.py | jzboylxj/XDLibs | 76ab640502d7e254bc98930d6ebb9e870476ed9a | [
"MIT"
] | null | null | null | animation/face_editor.py | jzboylxj/XDLibs | 76ab640502d7e254bc98930d6ebb9e870476ed9a | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# @Time : 2020/9/7 9:39
# @Author : Li XiaoJun
# @Site :
# @File : face_editor.py
from imp import reload
from animation import common
from animation import test_node
from pymel import core as pm
reload(common)
reload(test_node)
def get_channel_values(jnt, pre=5):
... | 38.460554 | 89 | 0.533023 | #!/usr/bin/env python
# coding: utf-8
# @Time : 2020/9/7 9:39
# @Author : Li XiaoJun
# @Site :
# @File : face_editor.py
import json
import os
from imp import reload
from animation import common
from animation import test_node
from animation.helper import manager_version
from pymel import core as pm
reload(... | 1,461 | 0 | 0 | 50,228 | 0 | 2,295 | 0 | 1 | 159 |
718fa4fe50d6852876511690c70b17f636bd0209 | 10,738 | py | Python | gibson2/utils/assets_utils.py | dnandha/iGibson | bbd8c294aad1ddffce868244a474dd40c2976590 | [
"MIT"
] | 3 | 2021-02-07T14:00:38.000Z | 2021-07-03T19:40:59.000Z | gibson2/utils/assets_utils.py | dnandha/iGibson | bbd8c294aad1ddffce868244a474dd40c2976590 | [
"MIT"
] | null | null | null | gibson2/utils/assets_utils.py | dnandha/iGibson | bbd8c294aad1ddffce868244a474dd40c2976590 | [
"MIT"
] | 2 | 2021-04-01T12:14:59.000Z | 2021-06-18T13:04:39.000Z | import gibson2
import os
import argparse
import subprocess
from collections import defaultdict
def get_ig_category_ids():
"""
Get iGibson object categories
:return: file path to the scene name
"""
ig_dataset_path = gibson2.ig_dataset_path
ig_categories_files = os.path.join(
ig_dataset... | 36.033557 | 145 | 0.655336 | import gibson2
import os
import argparse
import random
import subprocess
import json
from collections import defaultdict
import yaml
def get_ig_category_ids():
"""
Get iGibson object categories
:return: file path to the scene name
"""
ig_dataset_path = gibson2.ig_dataset_path
ig_categories_fi... | 0 | 0 | 0 | 0 | 0 | 1,696 | 0 | -28 | 112 |
98b43896db4a9743c1b1d21ae5bcb6569ad055c4 | 2,797 | py | Python | satori/tests/test_common_templating.py | mgeisler/satori | dea382bae1cd043189589c0f7d4c20b4b6725ab5 | [
"Apache-2.0"
] | 1 | 2015-01-18T19:56:28.000Z | 2015-01-18T19:56:28.000Z | satori/tests/test_common_templating.py | samstav/satori | 239fa1e3c7aac78599145c670576f0ac76a41a89 | [
"Apache-2.0"
] | null | null | null | satori/tests/test_common_templating.py | samstav/satori | 239fa1e3c7aac78599145c670576f0ac76a41a89 | [
"Apache-2.0"
] | null | null | null | # pylint: disable=C0103,R0904
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | 34.9625 | 77 | 0.648552 | # pylint: disable=C0103,R0904
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | 0 | 0 | 0 | 1,933 | 0 | 0 | 0 | 15 | 46 |
03e934b55fee6d774e434334e745d004e74e3130 | 4,638 | py | Python | finetune/lm_entailment.py | johndpope/finetune | 8cdc2a29104f3f2f6e032a9496b3c4e251ac028c | [
"MIT"
] | null | null | null | finetune/lm_entailment.py | johndpope/finetune | 8cdc2a29104f3f2f6e032a9496b3c4e251ac028c | [
"MIT"
] | null | null | null | finetune/lm_entailment.py | johndpope/finetune | 8cdc2a29104f3f2f6e032a9496b3c4e251ac028c | [
"MIT"
] | null | null | null | import json
from sklearn.model_selection import train_test_split
if __name__ == "__main__":
with open("data/questions.json", "rt") as fp:
data = json.load(fp)
scores = []
questions = []
answers = []
save_path = 'saved-models/cola'
model = LanguageModelEntailment(save_path)
for... | 42.163636 | 117 | 0.689521 | import json
from sklearn.model_selection import train_test_split
from finetune.config import BATCH_SIZE
from finetune.lm_base import LanguageModelBase
from finetune.target_encoders import OrdinalClassificationEncoder
class LanguageModelEntailment(LanguageModelBase):
def get_target_encoder(self):
return... | 0 | 0 | 0 | 3,360 | 0 | 0 | 0 | 86 | 90 |
e543001c6dbbf7c0f14676334e540a1dbbbed706 | 4,780 | py | Python | backend.py | MahatKC/expertsystemassignment | 4db94390c9b7651d46b6a6e6a69c35e93aafcf31 | [
"MIT"
] | null | null | null | backend.py | MahatKC/expertsystemassignment | 4db94390c9b7651d46b6a6e6a69c35e93aafcf31 | [
"MIT"
] | null | null | null | backend.py | MahatKC/expertsystemassignment | 4db94390c9b7651d46b6a6e6a69c35e93aafcf31 | [
"MIT"
] | null | null | null | #trabalho por Leonardo Vanzin, Mateus Karvat e Roberta Aparecida
#inicialmente, so importadas as bibliotecas necessrias
import interface
valores_convertidos = {
'proximidadeMar': float(interface.valores['proximidadeMar']),
'desnivel': float(interface.valores['desnivel']),
'velocidadeVento': float(interfac... | 45.961538 | 127 | 0.722803 | #trabalho por Leonardo Vanzin, Mateus Karvat e Roberta Aparecida
#inicialmente, sรฃo importadas as bibliotecas necessรกrias
from experta import *
import interface
valores_convertidos = {
'proximidadeMar': float(interface.valores['proximidadeMar']),
'desnivel': float(interface.valores['desnivel']),
'velocida... | 154 | 681 | 0 | 1,352 | 0 | 0 | 0 | 0 | 292 |
880bad578d9944f1ec06e580824fc923f1978b8e | 2,886 | py | Python | main.py | warifp/InstagramPostAndDelete | d22577325eccf42e629cef076ab43f7788587bc4 | [
"MIT"
] | 4 | 2019-06-03T04:00:51.000Z | 2021-11-09T21:34:38.000Z | main.py | nittaya1990/InstagramPostAndDelete | d22577325eccf42e629cef076ab43f7788587bc4 | [
"MIT"
] | null | null | null | main.py | nittaya1990/InstagramPostAndDelete | d22577325eccf42e629cef076ab43f7788587bc4 | [
"MIT"
] | 4 | 2019-10-30T19:44:08.000Z | 2021-09-07T16:30:09.000Z | #! @@Author : WAHYU ARIF PURNOMO
#! @@Create : 18 Januari 2019
#! @@Modify : 19 Januari 2019
#! Gambar dari reddit.
#! Gunakan VPN karena DNS situs reddit sudah di blokir dari negara Indonesia.
import os
from time import sleep
from InstagramAPI import InstagramAPI
InstagramAPI = InstagramAPI(input("Username: "), inpu... | 28.574257 | 125 | 0.615731 | #! @@Author : WAHYU ARIF PURNOMO
#! @@Create : 18 Januari 2019
#! @@Modify : 19 Januari 2019
#! Gambar dari reddit.
#! Gunakan VPN karena DNS situs reddit sudah di blokir dari negara Indonesia.
import os
import json
import requests
import progressbar
from PIL import Image
from lxml import html
from time import sleep
f... | 0 | 0 | 0 | 0 | 0 | 1,986 | 0 | -5 | 247 |
66a485d2b69e5ed6b33aeebb70db814ec8baae6b | 3,101 | py | Python | examples/simple/simple_ep.py | thomashopkins32/LEAP | aafada03a261543f35ebfbb9b1ef7140cb079f6c | [
"AFL-3.0"
] | 53 | 2018-10-04T18:01:22.000Z | 2022-03-24T05:24:37.000Z | examples/simple/simple_ep.py | thomashopkins32/LEAP | aafada03a261543f35ebfbb9b1ef7140cb079f6c | [
"AFL-3.0"
] | 180 | 2018-10-11T21:36:57.000Z | 2022-03-25T17:38:33.000Z | examples/simple/simple_ep.py | thomashopkins32/LEAP | aafada03a261543f35ebfbb9b1ef7140cb079f6c | [
"AFL-3.0"
] | 8 | 2019-09-27T23:11:26.000Z | 2021-09-29T21:15:35.000Z | #!/usr/bin/env python3
"""
This implements a simple Evolutionary Programming (EP) system, but it
does not evolve state machines as done with the original EP approach.
TODO convert to a state machines problem
"""
import os
from toolz import pipe
from leap_ec import Individual, context, test_env_var
from ... | 37.361446 | 85 | 0.6198 | #!/usr/bin/env python3
"""
This implements a simple Evolutionary Programming (EP) system, but it
does not evolve state machines as done with the original EP approach.
TODO convert to a state machines problem
"""
import os
from toolz import pipe
from leap_ec import Individual, context, test_env_var
from ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3274152719814b53020602fee540527b2afc4a45 | 481 | py | Python | intervention_herd/intervention_herd/make_rand_pop.py | molkjar/bachelor | a0591691b820c6c8a45d16f8d55f3a7e80ea384b | [
"MIT"
] | null | null | null | intervention_herd/intervention_herd/make_rand_pop.py | molkjar/bachelor | a0591691b820c6c8a45d16f8d55f3a7e80ea384b | [
"MIT"
] | null | null | null | intervention_herd/intervention_herd/make_rand_pop.py | molkjar/bachelor | a0591691b820c6c8a45d16f8d55f3a7e80ea384b | [
"MIT"
] | null | null | null | import covasim as cv
import sciris as sc
import population_random as pr
if __name__ == '__main__':
#Without dispersion
cv.set_seed(1)
people = pr.generate_people(n_people=200e3, n_contacts=20, dispersion=None)
sc.saveobj('randppl.pop', people)
# With dispersion
cv.set_seed(1)
peopleDisp ... | 21.863636 | 82 | 0.721414 | import covasim as cv
import pandas as pd
import sciris as sc
import numpy as np
import population_random as pr
if __name__ == '__main__':
#Without dispersion
cv.set_seed(1)
people = pr.generate_people(n_people=200e3, n_contacts=20, dispersion=None)
sc.saveobj('randppl.pop', people)
# With disper... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -5 | 44 |
0321cbc0cd8aae6294dc88fca152c51fa61272fc | 978 | py | Python | LeetCode/069 Sqrt(x).py | gesuwen/Algorithms | 0c9cf4412d76f8b69ef68cc80636323f5a0e5786 | [
"MIT"
] | null | null | null | LeetCode/069 Sqrt(x).py | gesuwen/Algorithms | 0c9cf4412d76f8b69ef68cc80636323f5a0e5786 | [
"MIT"
] | null | null | null | LeetCode/069 Sqrt(x).py | gesuwen/Algorithms | 0c9cf4412d76f8b69ef68cc80636323f5a0e5786 | [
"MIT"
] | null | null | null | # Math; Binary Search
# Implement int sqrt(int x).
#
# Compute and return the square root of x, where x is guaranteed to be a non-negative integer.
#
# Since the return type is an integer, the decimal digits are truncated and only the integer part of the result is returned.
#
# Example 1:
#
# Input: 4
# Output: 2
# Ex... | 25.736842 | 124 | 0.52863 | # Math; Binary Search
# Implement int sqrt(int x).
#
# Compute and return the square root of x, where x is guaranteed to be a non-negative integer.
#
# Since the return type is an integer, the decimal digits are truncated and only the integer part of the result is returned.
#
# Example 1:
#
# Input: 4
# Output: 2
# Ex... | 0 | 0 | 0 | 480 | 0 | 0 | 0 | 0 | 22 |
c78ae29735b85b179be5cc23fb9f757749681fab | 1,645 | py | Python | compilador.py | RevertonLuis/NavierStokesSpaceTimeParallelProjectionMethod | 23fbf3b01a34c244d8928fae4ad9d12bffef8d07 | [
"MIT"
] | 1 | 2021-03-02T16:28:12.000Z | 2021-03-02T16:28:12.000Z | compilador.py | RevertonLuis/NavierStokesSpaceTimeParallelProjectionMethod | 23fbf3b01a34c244d8928fae4ad9d12bffef8d07 | [
"MIT"
] | null | null | null | compilador.py | RevertonLuis/NavierStokesSpaceTimeParallelProjectionMethod | 23fbf3b01a34c244d8928fae4ad9d12bffef8d07 | [
"MIT"
] | null | null | null | import os
import subprocess
import sys
fontes = ["funcoes_abstratas.f90",
"funcoes_alias.f90",
'matriz_A.f90',
'gs.f90',
'extrapolacoes_de_u_e_v.f90',
'fontes_subrotinas.f90',
'class_array_subrotinas.f90',
'residuo.f90',
'variaveis_solvers... | 22.22973 | 44 | 0.606687 | import os
import subprocess
import sys
fontes = ["funcoes_abstratas.f90",
"funcoes_alias.f90",
'matriz_A.f90',
'gs.f90',
'extrapolacoes_de_u_e_v.f90',
'fontes_subrotinas.f90',
'class_array_subrotinas.f90',
'residuo.f90',
'variaveis_solvers... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
486c6736e43246d360dbfa3421cf92c6a8d90770 | 8,057 | py | Python | s3splitmerge/tests/run.py | MacHu-GWU/s3splitmerge-project | 873892158f4a2d0ee20f291e5d3b2a80f0bae1ba | [
"MIT"
] | null | null | null | s3splitmerge/tests/run.py | MacHu-GWU/s3splitmerge-project | 873892158f4a2d0ee20f291e5d3b2a80f0bae1ba | [
"MIT"
] | null | null | null | s3splitmerge/tests/run.py | MacHu-GWU/s3splitmerge-project | 873892158f4a2d0ee20f291e5d3b2a80f0bae1ba | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import typing
import awswrangler as wr
from .data import (create_s3_csv_file, create_s3_json_file)
from ..helpers import (is_s3_object_exists)
def run_test_split_csv(
boto_ses,
n_k_rows: int,
header: bool,
source_bucket: str,
source_key: str,
target_bucket: str,
ta... | 31.84585 | 93 | 0.601092 | # -*- coding: utf-8 -*-
import typing
import awswrangler as wr
from .data import (
create_s3_csv_file,
create_s3_json_file,
create_many_parquet_file,
create_many_json_file,
)
from ..merge import (
merge_parquet_by_prefix,
merge_json_by_prefix,
)
from ..helpers import (
is_s3_object_exists,
... | 0 | 0 | 0 | 0 | 0 | 3,594 | 0 | 132 | 68 |
1a0d56e351e57ca087fab587b737387fabc26c12 | 12,731 | py | Python | pymilvus_orm/utility.py | scipe/pymilvus-orm | cdcf5b7c99430d9c7e6da16556964323cdb58e80 | [
"Apache-2.0"
] | null | null | null | pymilvus_orm/utility.py | scipe/pymilvus-orm | cdcf5b7c99430d9c7e6da16556964323cdb58e80 | [
"Apache-2.0"
] | null | null | null | pymilvus_orm/utility.py | scipe/pymilvus-orm | cdcf5b7c99430d9c7e6da16556964323cdb58e80 | [
"Apache-2.0"
] | null | null | null | # Copyright (C) 2019-2021 Zilliz. 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 law or ag... | 48.406844 | 139 | 0.684392 | # Copyright (C) 2019-2021 Zilliz. 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 law or ag... | 0 | 0 | 0 | 0 | 0 | 153 | 0 | 67 | 68 |
a3d9228044efb6c05033803e028e1c86272deb18 | 3,595 | py | Python | pyocd/rtos/provider.py | majorlin/pyOCD | 62dbca36645a72152f0fb9049e5d46070f8b66b7 | [
"Apache-2.0"
] | 1 | 2022-02-13T13:47:49.000Z | 2022-02-13T13:47:49.000Z | pyocd/rtos/provider.py | majorlin/pyOCD | 62dbca36645a72152f0fb9049e5d46070f8b66b7 | [
"Apache-2.0"
] | null | null | null | pyocd/rtos/provider.py | majorlin/pyOCD | 62dbca36645a72152f0fb9049e5d46070f8b66b7 | [
"Apache-2.0"
] | null | null | null | # pyOCD debugger
# Copyright (c) 2016 Arm Limited
# SPDX-License-Identifier: Apache-2.0
#
# 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
#
# ... | 28.991935 | 100 | 0.667038 | # pyOCD debugger
# Copyright (c) 2016 Arm Limited
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# ... | 0 | 558 | 0 | 2,306 | 0 | 0 | 0 | 0 | 46 |
4aef6a340594c5e0b0940fd61bf81cef75f15b6f | 2,822 | py | Python | workflow/jena_functions.py | ChalkLab/SciFlow | 5bf021007d6184402ebfe6cefc2111d99160cb69 | [
"MIT"
] | null | null | null | workflow/jena_functions.py | ChalkLab/SciFlow | 5bf021007d6184402ebfe6cefc2111d99160cb69 | [
"MIT"
] | null | null | null | workflow/jena_functions.py | ChalkLab/SciFlow | 5bf021007d6184402ebfe6cefc2111d99160cb69 | [
"MIT"
] | null | null | null | import requests
import urllib3
from sciflow import localsettings
path = "http://jena1.unfcsd.unf.edu:3030/"
dset = "SciData"
hdrs = {'Content-Type': 'application/json'}
hdrsld = {'Content-Type': 'application/ld+json'}
fpath = localsettings.ppath + "/static/files/"
def server():
"""get the server info from the f... | 32.068182 | 114 | 0.634656 | import requests
import urllib3
from sciflow import localsettings
path = "http://jena1.unfcsd.unf.edu:3030/"
dset = "SciData"
hdrs = {'Content-Type': 'application/json'}
hdrsld = {'Content-Type': 'application/ld+json'}
fpath = localsettings.ppath + "/static/files/"
def server():
"""get the server info from the f... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d16129aa31fa37f2f468978bdec0a57ead1ab1be | 678 | py | Python | add_categories.py | 1dot75cm/taobaobao | bce05319b57f6737a249945a75a99e09125734c3 | [
"MIT"
] | 14 | 2017-03-29T11:03:39.000Z | 2020-06-29T14:06:13.000Z | add_categories.py | 1dot75cm/taobaobao | bce05319b57f6737a249945a75a99e09125734c3 | [
"MIT"
] | 1 | 2017-12-19T09:50:30.000Z | 2017-12-19T09:50:30.000Z | add_categories.py | 1dot75cm/taobaobao | bce05319b57f6737a249945a75a99e09125734c3 | [
"MIT"
] | 4 | 2017-05-24T08:03:00.000Z | 2019-04-19T13:33:02.000Z | # -*- coding: utf-8 -*-
if __name__ in '__main__':
main()
| 24.214286 | 65 | 0.575221 | # -*- coding: utf-8 -*-
import pymongo
import json
def main():
conn = pymongo.MongoClient('127.0.0.1', 27017)
db = conn['taobao']
goods_coll = db['goods']
cate_coll = db['categories']
print('Reading categories.')
cate = set()
for i in goods_coll.find():
cate.add(json.dumps(i['categ... | 0 | 0 | 0 | 0 | 0 | 565 | 0 | -17 | 67 |