Reset23/the-stack-v2-filtered-python · Datasets at Hugging Face

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codon_dict = {'TTT':'F', 'TTC':'F', 'TTA':'L', 'TTG':'L', 'TCT':'S', 'TCC':'S', 'TCA':'S', 'TCG':'S', 'TAT':'Y', 'TAC':'Y', 'TAA':'*', 'TAG':'*', 'TGT':'C', 'TGC':'C', 'TGA':'*', 'TGG':'W', 'CTT':'L', 'CTC':'L', 'CTA':'L', 'CTG':'L', 'CCT':'P', 'CCC':'P', 'CCA':'P', 'CCG':'P', 'CAT':'H', 'CAC':'H', 'CAA':'Q', 'CAG':'Q', 'CGT':'R', 'CGC':'R', 'CGA':'R', 'CGG':'R', 'ATT':'I', 'ATC':'I', 'ATA':'I', 'ATG':'M', 'ACT':'T', 'ACC':'T', 'ACA':'T', 'ACG':'T', 'AAT':'N', 'AAC':'N', 'AAA':'K', 'AAG':'K', 'AGT':'S', 'AGC':'S', 'AGA':'R', 'AGG':'R', 'GTT':'V', 'GTC':'V', 'GTA':'V', 'GTG':'V', 'GCT':'A', 'GCC':'A', 'GCA':'A', 'GCG':'A', 'GAT':'D', 'GAC':'D', 'GAA':'E', 'GAG':'E', 'GGT':'G', 'GGC':'G', 'GGA':'G', 'GGG':'G'} with open('sequence.nucleotide.fasta','r') as f: ll = f.read().split('\n')[1:] sequence = ''.join(ll) compl = sequence.replace("A","X") compl = compl.replace("T","A") compl = compl.replace("X","T") compl = compl.replace("G","X") compl = compl.replace("C","G") compl = compl.replace("X","C") f1 = ' '.join([codon_dict[sequence[n-3:n]] for n in range(3,2332) if n%3==0]) f2 = ' '.join([codon_dict[sequence[n-3:n]] for n in range(3,2332) if n%3==1]) f3 = ' '.join([codon_dict[sequence[n-3:n]] for n in range(3,2332) if n%3==2]) r1 = ' '.join([codon_dict[compl[::-1][n-3:n]] for n in range(3,2332) if n%3==0]) r2 = ' '.join([codon_dict[compl[::-1][n-3:n]] for n in range(3,2332) if n%3==1]) r3 = ' '.join([codon_dict[compl[::-1][n-3:n]] for n in range(3,2332) if n%3==2]) print(f1+'\n '+f2+'\n '+f3+'\n'+sequence+'\n'+compl+'\n'+ '%2331s\n%2330s\n%2329s' %(r1[::-1],r2[::-1],r3[::-1]))

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from subprocess import Popen, PIPE import hashlib import json import pwd import urllib from django.utils.translation import ugettext_lazy as _ from dojango import forms from nzbhydraUI.freenas import models, utils class NZBHydraForm(forms.ModelForm): class Meta: model = models.NZBHydra exclude = ( 'enable', ) def __init__(self, *args, **kwargs): self.jail_path = kwargs.pop('jail_path') super(NZBHydraForm, self).__init__(*args, **kwargs) def save(self, *args, **kwargs): obj = super(NZBHydraForm, self).save(*args, **kwargs) if obj.enable: Popen(["/usr/sbin/sysrc", "nzbhydra_enable=YES"], stdout=PIPE, stderr=PIPE) else: Popen(["/usr/sbin/sysrc", "nzbhydra_enable=NO"], stdout=PIPE, stderr=PIPE)

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def perm(arr): # sort the array if len(arr) == 0: return 0 else: arr.sort() perm = set(arr) maxValue = max(arr) if len(perm) == maxValue: return 1 elif len(perm) == 1: return 0 print(perm([1,1,1]))

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class MyError(Exception): pass def say_nick(nickname): if nickname == 'dolbam': raise MyError() print(nickname) if __name__ == '__main__': for i in ['zeroxkim', 'dolbam']: try: say_nick(i) except MyError: print("wrong nickname")

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config = { "interfaces": { "google.ads.googleads.v6.services.GeographicViewService": { "retry_codes": { "retry_policy_1_codes": [ "UNAVAILABLE", "DEADLINE_EXCEEDED" ], "no_retry_codes": [] }, "retry_params": { "retry_policy_1_params": { "initial_retry_delay_millis": 5000, "retry_delay_multiplier": 1.3, "max_retry_delay_millis": 60000, "initial_rpc_timeout_millis": 3600000, "rpc_timeout_multiplier": 1.0, "max_rpc_timeout_millis": 3600000, "total_timeout_millis": 3600000 }, "no_retry_params": { "initial_retry_delay_millis": 0, "retry_delay_multiplier": 0.0, "max_retry_delay_millis": 0, "initial_rpc_timeout_millis": 0, "rpc_timeout_multiplier": 1.0, "max_rpc_timeout_millis": 0, "total_timeout_millis": 0 } }, "methods": { "GetGeographicView": { "timeout_millis": 60000, "retry_codes_name": "retry_policy_1_codes", "retry_params_name": "retry_policy_1_params" } } } } }

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#!/usr/bin/env python # # Copyright 2016 Cisco Systems, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # """ Execute RPC for model Cisco-IOS-XR-snmp-test-trap-act. usage: nc-execute-xr-snmp-test-trap-act-210-ydk.py [-h] [-v] device positional arguments: device NETCONF device (ssh://user:password@host:port) optional arguments: -h, --help show this help message and exit -v, --verbose print debugging messages """ from argparse import ArgumentParser from urlparse import urlparse from ydk.services import ExecutorService from ydk.providers import NetconfServiceProvider from ydk.models.cisco_ios_xr import Cisco_IOS_XR_snmp_test_trap_act \ as xr_snmp_test_trap_act import logging if __name__ == "__main__": """Execute main program.""" parser = ArgumentParser() parser.add_argument("-v", "--verbose", help="print debugging messages", action="store_true") parser.add_argument("device", help="NETCONF device (ssh://user:password@host:port)") args = parser.parse_args() device = urlparse(args.device) # log debug messages if verbose argument specified if args.verbose: logger = logging.getLogger("ydk") logger.setLevel(logging.INFO) handler = logging.StreamHandler() formatter = logging.Formatter(("%(asctime)s - %(name)s - " "%(levelname)s - %(message)s")) handler.setFormatter(formatter) logger.addHandler(handler) # create NETCONF provider provider = NetconfServiceProvider(address=device.hostname, port=device.port, username=device.username, password=device.password, protocol=device.scheme) # create executor service executor = ExecutorService() infra_syslog_message_generated = xr_snmp_test_trap_act.InfraSyslogMessageGenerated() # create object # execute RPC on NETCONF device executor.execute_rpc(provider, infra_syslog_message_generated) exit() # End of script

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# coding=utf-8 def cuttingRope_dp(n): """ :type n: int :rtype: int """ if n <= 3: return n-1 dp = [0 for i in range(n+1)] dp[1] = 1 dp[2] = 1 dp[3] = 2 for i in range(3, n+1): for j in range(1, i/2+1): dp[i] = max(dp[i], j*max(dp[i-j], i-j)) return dp[n] % 1000000007

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import tests.model_control.test_ozone_custom_models_enabled as testmod testmod.build_model( ['Quantization'] , ['MovingAverage'] , ['Seasonal_DayOfMonth'] , ['MLP'] );

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n=int(input()) s=input() r=["a","e","i","o","u","A","E","I","O","U"] l=[] for i in range(len(s)): if s[i] not in r: l.append(s[i]) for i in reversed(l): print(i,end="")

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#import math #import itertools #import numpy as np #from collections import deque # sys.setrecursionlimit(10 ** 6) MOD = 10 ** 9 + 7 #INF = 10 ** 9 #PI = 3.14159265358979323846 INT = lambda: int(input()) INTM = lambda: map(int,input().split()) STRM = lambda: map(str,input().split()) STR = lambda: str(input()) LIST = lambda: list(map(int,input().split())) LISTS = lambda: list(map(str,input().split())) def do(): n,m=INTM() b_sts=[False]*n for i in range(m): b=INT() b-=1 b_sts[b]=True step=[0]*(n+2) step[1]=1 for i in range(n): if b_sts[i]: continue else: step[i+2]=(step[i+1]+step[i])%MOD print(step[-1]%MOD) if __name__=='__main__': do()

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''' Description: Problem 4 (complete the code) Version: 1.0.1.20210117 Author: Arvin Zhao Date: 2021-01-16 00:19:34 Last Editors: Arvin Zhao LastEditTime: 2021-01-17 12:13:41 ''' from tkinter import Tk, Label, Entry, Button from tkinter.constants import END def convert_to_km(): miles = textbox1.get() message = float(miles) / 1.6093 textbox2.delete(0, END) textbox2.insert(END, message) textbox2.insert(END, ' km') def convert_to_miles(): km = textbox1.get() km = int(km) message = km * 0.6214 textbox2.delete(0, END) textbox2.insert(END, message) textbox2.insert(END, ' miles') if __name__ == '__main__': window = Tk() window.title('Distance') window.geometry('260x200') label1 = Label(text = 'Enter the value you want to convert: ') label1.place(x = 30, y = 20) textbox1 = Entry(text = '') textbox1.place(x = 30, y = 50, width = 200, height = 25) textbox1['justify'] = 'center' textbox1.focus() convert1 = Button(text = 'Convert mile to km', command = convert_to_km) convert1.place(x = 30, y = 80, width = 200, height = 25) convert2 = Button(text = 'Convert km to mile', command = convert_to_miles) convert2.place(x = 30, y = 110, width = 200, height = 25) textbox2 = Entry(text = '') textbox2.place(x = 30, y = 140, width = 200, height = 25) textbox2['justify'] = 'center' window.mainloop()

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# -*- coding: utf-8 -*- # Define your item pipelines here # # Don't forget to add your pipeline to the ITEM_PIPELINES setting # See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html import scrapy import os from scrapy.pipelines.files import FilesPipeline from Fmfiles.settings import FILES_STORE from scrapy.exceptions import DropItem class FmfilesPipeline(FilesPipeline): # 动态获取资源文件默认父目录“full”，并保存为属性 __file_dir = None # def process_item(self, item, spider): # return item def get_media_requests(self, item, info): file_url = item['file_url'] yield scrapy.Request(file_url) def item_completed(self, results, item, info): # file_paths系统自带的 file_paths = [x['path'] for ok, x in results if ok] if not self.__file_dir: self.__file_dir = file_paths[0].split('/')[0] if not file_paths: raise DropItem("Item contains no files") # os.rename(src,dst) 方法用于重命名文件或目录 src -- 要修改的目录名 dst -- 修改后的目录名 os.rename(FILES_STORE + file_paths[0], FILES_STORE + item['file_album'] + '/' + item['file_name']) return item def close_spider(self, spider): if self.__file_dir is None: return None ori_filepath = FILES_STORE + self.__file_dir if os.path.exists(ori_filepath): # os.rmdir() 方法用于删除指定路径的目录如果文件已经存在则删除文件 os.rmdir(ori_filepath)

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from unittest import TestCase from astropy import units as u from mirage.model.impl import SingularIsothermalSphereLens from mirage.model import Quasar from mirage.util import Vec2D, PolarVec class TestPointLens(TestCase): def get_lens(self): return SingularIsothermalSphereLens( quasar=Quasar(1.2, mass=u.Quantity(1e9, "solMass")), redshift=0.7, velocity_dispersion=u.Quantity(300, "km/s"), star_fraction=0.8, shear=PolarVec(u.Quantity(0.1, "rad"), u.Quantity(0.2, "rad")), ellipticity=PolarVec(u.Quantity(0.1, "rad"), u.Quantity(0.3, "rad")), ) def testEinsteinRadius_success(self): lens = self.get_lens() er = lens.einstein_radius self.assertEqual(er.unit, u.arcsec) def testMicrotracingParameters_success(self): lens = self.get_lens() tracing_params = lens.microtracing_parameters(Vec2D(2, 3, "arcsec"))

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# -*- coding: utf-8 -*- ############################################################################### # # AddEmailToList # Add an email to an existing Recipient List. # # Python version 2.6 # ############################################################################### from temboo.core.choreography import Choreography from temboo.core.choreography import InputSet from temboo.core.choreography import ResultSet from temboo.core.choreography import ChoreographyExecution class AddEmailToList(Choreography): """ Create a new instance of the AddEmailToList Choreography. A TembooSession object, containing a valid set of Temboo credentials, must be supplied. """ def __init__(self, temboo_session): Choreography.__init__(self, temboo_session, '/Library/SendGrid/NewsletterAPI/ListsEmail/AddEmailToList') def new_input_set(self): return AddEmailToListInputSet() def _make_result_set(self, result, path): return AddEmailToListResultSet(result, path) def _make_execution(self, session, exec_id, path): return AddEmailToListChoreographyExecution(session, exec_id, path) """ An InputSet with methods appropriate for specifying the inputs to the AddEmailToList choreography. The InputSet object is used to specify input parameters when executing this choreo. """ class AddEmailToListInputSet(InputSet): """ Set the value of the APIKey input for this choreography. ((required, string) The API Key obtained from SendGrid.) """ def set_APIKey(self, value): InputSet._set_input(self, 'APIKey', value) """ Set the value of the APIUser input for this choreography. ((required, string) The username registered with SendGrid.) """ def set_APIUser(self, value): InputSet._set_input(self, 'APIUser', value) """ Set the value of the Data input for this choreography. ((required, string) The JSON string containing the name, email and additional fields to be added to the specified recipient lists. Example: {"email":"address@example.com","name":"name","other_field":"value"}) """ def set_Data(self, value): InputSet._set_input(self, 'Data', value) """ Set the value of the List input for this choreography. ((required, string) The recipient list to which emaill addresses are being added. The list must be already existing.) """ def set_List(self, value): InputSet._set_input(self, 'List', value) """ Set the value of the ResponseFormat input for this choreography. ((optional, string) The format of the response from SendGrid, in either json, or xml. Default is set to json.) """ def set_ResponseFormat(self, value): InputSet._set_input(self, 'ResponseFormat', value) """ Set the value of the VaultFile input for this choreography. () """ """ A ResultSet with methods tailored to the values returned by the AddEmailToList choreography. The ResultSet object is used to retrieve the results of a choreography execution. """ class AddEmailToListResultSet(ResultSet): """ Retrieve the value for the "Response" output from this choreography execution. (The response from SendGrid. The format corresponds to the ResponseFormat input. Default is json.) """ def get_Response(self): return self._output.get('Response', None) class AddEmailToListChoreographyExecution(ChoreographyExecution): def _make_result_set(self, response, path): return AddEmailToListResultSet(response, path)

[ "mike.wimsatt@gmail.com" ]

mike.wimsatt@gmail.com

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/thousandSeparator.py

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[]

no_license

pflun/advancedAlgorithms

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refs/heads/master

2023-02-19T12:05:26.902535

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class Solution(object): def thousandSeparator(self, n): """ :type n: int :rtype: str """ res = [] while n / 1000 > 0: remain = str(n % 1000) if len(remain) == 1: remain = '00' + remain elif len(remain) == 2: remain = '0' + remain res = [remain] + res n /= 1000 res = [str(n % 1000)] + res return '.'.join(res)

[ "tango7down@icloud.com" ]

tango7down@icloud.com

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/text_txt_lmfit.py

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[]

no_license

alictg81/pyspeckit-tests

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62153cb2dbff2cffda1a9c8f626ac4e1549f8532

refs/heads/master

2021-01-22T06:49:11.600689

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from pyspeckit import spectrum if not 'interactive' in globals(): interactive=False if not 'savedir' in globals(): savedir = '' sp = spectrum.Spectrum('simple_txt.txt') print "Does it have an axis? ",sp.plotter.axis sp.plotter() print "How about now? ",sp.plotter.axis print "FITTING GAUSSIAN" sp.specfit(quiet=False) sp.specfit.annotate(loc='lower right') sp.plotter.figure.savefig(savedir+'txt_gaussfit.png') print "Guesses: ", sp.specfit.guesses print "Best fit: ", sp.specfit.modelpars print "Datamax: ",sp.data.max() if interactive: raw_input("Wait here a moment") # Fit a baseline, excluding the velocities with data, and don't subtract it print "FITTING BASELINE" sp.baseline(exclude=[2.111,2.129],subtract=False) # DEBUG added 1/16/2012 sp.baseline.highlight_fitregion() sp.plotter.figure.savefig(savedir+'txt_baseline.png') print "Baseline: ",sp.baseline.baselinepars #print "Excludepix: ",sp.baseline.excludepix #print "Excludevelo: ",sp.baseline.excludevelo print "EQW: ",sp.specfit.EQW() print "Datamax: ",sp.data.max() print "NOK: ",sp.baseline.OKmask.sum() print sp.data[sp.baseline.includemask] print sp.baseline.basespec if interactive: raw_input("Wait here a moment") print "REFITTING GAUSSIAN" sp.specfit(quiet=False) sp.specfit.annotate(loc='lower right') print "Guesses: ", sp.specfit.guesses print "Best fit: ", sp.specfit.modelpars print "Datamax: ",sp.data.max() sp.plotter.figure.savefig(savedir+'txt_baseline_gaussfit.png') if interactive: raw_input("Wait here a moment") print "EQW: ",sp.specfit.EQW(plot=True,annotate=True) sp.plotter.refresh() sp.plotter.figure.savefig(savedir+'txt_EQW.png') sp.specfit.add_sliders() if interactive: raw_input('Press enter to print guesses and best fit and end code') #from matplotlib import pyplot

[ "keflavich@gmail.com" ]

keflavich@gmail.com

225d064d759e8103f09dc0d0d525433e922a6c19

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/setup.py

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[ "MIT" ]

permissive

pparan/polyaxon

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423199721e90431209b00c0f76caa6b4f9aa4b24

refs/heads/master

2021-04-15T07:15:19.701268

2018-03-21T11:59:12

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#!/usr/bin/env python import sys from setuptools import find_packages, setup from setuptools.command.test import test as TestCommand class PyTest(TestCommand): def finalize_options(self): TestCommand.finalize_options(self) self.test_args = [] self.test_suite = True def run_tests(self): import pytest errcode = pytest.main(self.test_args) sys.exit(errcode) setup(name='polyaxon', version='0.0.6', description='Deep Learning library for TensorFlow for ' 'building end to end models and experiments.', maintainer='Mourad Mourafiq', maintainer_email='mouradmourafiq@gmail.com', author='Mourad Mourafiq', author_email='mouradmourafiq@gmail.com', url='https://github.com/polyaxon/polyaxon', license='MIT', platforms='any', packages=find_packages(), keywords=[ 'polyaxon', 'tensorFlow', 'deep-learning', 'machine-learning', 'data-science', 'neural-networks', 'artificial-intelligence', 'ai', 'reinforcement-learning' ], install_requires=[ "celery==4.1.0", "Django==1.11.7", "django-cors-headers==2.1.0", "djangorestframework==3.7.0", "djangorestframework-camel-case==0.2.0", "docker==2.6.1", "GitPython==2.1.7", "Jinja2==2.9.6", "pika==0.11.0", "psycopg2==2.7.3.1", "redis==2.10.6", "sanic==0.6.0", "six==1.11.0", "Unipath==1.1", "uWSGI==2.0.15", "websockets==3.4", ], classifiers=[ 'Programming Language :: Python', 'Operating System :: OS Independent', 'Intended Audience :: Developers', 'Intended Audience :: Science/Research', 'Topic :: Scientific/Engineering :: Artificial Intelligence' ], tests_require=['pytest'], cmdclass={'test': PyTest})

[ "mouradmourafiq@gmail.com" ]

mouradmourafiq@gmail.com

caf878602d26dd8f569da3d2ddf5ec00fd85e19f

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/teus_back/users/migrations/0014_auto_20210505_0038.py

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[]

no_license

RympeR/teus-django-vue

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b6be2bace144a0f3102339295eae05579657205e

refs/heads/main

2023-05-13T16:30:29.425392

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# Generated by Django 3.1.7 on 2021-05-04 21:38 import datetime from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('users', '0013_auto_20210430_0435'), ] operations = [ migrations.AlterField( model_name='phone', name='expires_at', field=models.DateTimeField(default=datetime.datetime(2021, 5, 5, 0, 20), verbose_name='Expires at'), ), ]

[ "georg.rashkov@gmail.com" ]

georg.rashkov@gmail.com

931b73a7d655f1fb2521e8aeced917c19b27cb99

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/docs/conf.py

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permissive

webclinic017/pyEX-zipline

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refs/heads/master

2022-07-22T08:38:08.060746

2020-05-19T19:32:16

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null

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py

#!/usr/bin/env python3 # -*- coding: utf-8 -*- # # pyEX.zipline documentation build configuration file, created by # sphinx-quickstart on Fri Jan 12 22:07:11 2018. # # This file is execfile()d with the current directory set to its # containing dir. # # Note that not all possible configuration values are present in this # autogenerated file. # # All configuration values have a default; values that are commented out # serve to show the default. # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. # import sys import os import os.path import subprocess import sphinx_rtd_theme from recommonmark.transform import AutoStructify sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))) # -- General configuration ------------------------------------------------ # If your documentation needs a minimal Sphinx version, state it here. # # needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = ['sphinx.ext.coverage', 'sphinx.ext.viewcode', 'sphinx.ext.autodoc', 'sphinx.ext.napoleon', 'recommonmark'] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # # source_suffix = ['.rst', '.md'] source_suffix = ['.rst', '.md'] # The master toctree document. master_doc = 'index' # General information about the project. project = 'pyEX.zipline' copyright = '2020, Tim Paine' author = 'Tim Paine' # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the # built documents. # _version_py = os.path.join('..', 'pyEX', 'zipline', '_version.py') version_ns = {} with open(_version_py, mode='r') as version_file: exec(version_file.read(), version_ns) # The short X.Y version. version = '%i.%i' % version_ns['version_info'][:2] # The full version, including alpha/beta/rc tags. release = version_ns['__version__'] # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # # This is also used if you do content translation via gettext catalogs. # Usually you set "language" from the command line for these cases. language = None # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This patterns also effect to html_static_path and html_extra_path exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store'] # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'sphinx' # If true, `todo` and `todoList` produce output, else they produce nothing. todo_include_todos = False # -- Options for HTML output ---------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # # html_theme = 'alabaster' html_theme = "sphinx_rtd_theme" html_theme_path = [sphinx_rtd_theme.get_html_theme_path()] # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. # # html_theme_options = {} # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # Custom sidebar templates, must be a dictionary that maps document names # to template names. # # This is required for the alabaster theme # refs: http://alabaster.readthedocs.io/en/latest/installation.html#sidebars html_sidebars = { '**': [ 'relations.html', # needs 'show_related': True theme option to display 'searchbox.html', ] } # -- Options for HTMLHelp output ------------------------------------------ # Output file base name for HTML help builder. htmlhelp_basename = 'pyEXziplinedoc' # -- Options for LaTeX output --------------------------------------------- latex_elements = { # The paper size ('letterpaper' or 'a4paper'). # # 'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). # # 'pointsize': '10pt', # Additional stuff for the LaTeX preamble. # # 'preamble': '', # Latex figure (float) alignment # # 'figure_align': 'htbp', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ (master_doc, 'pyEX.zipline.tex', 'pyEX.zipline Documentation', 'Tim Paine', 'manual'), ] # -- Options for manual page output --------------------------------------- # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ (master_doc, 'pyEX.zipline', 'pyEX.zipline Documentation', [author], 1) ] # -- Options for Texinfo output ------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ (master_doc, 'pyEX.zipline', 'pyEX.zipline Documentation', author, 'pyEX.zipline', 'One line description of project.', 'Miscellaneous'), ] def run_copyreadme(_): out = os.path.abspath(os.path.join(os.path.dirname(__file__), 'index.md')) readme = os.path.abspath(os.path.join(os.path.dirname(__file__), '..', 'README.md')) api = os.path.abspath(os.path.join(os.path.dirname(__file__), 'api.md')) with open(out, 'w') as fp1: with open(readme, 'r') as fp2: for line in fp2: if 'src=' in line: # <img> fp1.write(line.replace("docs/", "")) elif "](docs/" in line: # md fp1.write(line.replace("](docs/", "](")) else: fp1.write(line) fp1.write("# API Documentation\n\n") with open(api, 'r') as fp2: fp1.write(fp2.read()) def run_apidoc(_): out_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), 'api')) pyEX_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), '..', 'pyEX')) cmd_path = 'sphinx-apidoc' if hasattr(sys, 'real_prefix'): # Check to see if we are in a virtualenv # If we are, assemble the path manually cmd_path = os.path.abspath(os.path.join(sys.prefix, 'bin', 'sphinx-apidoc')) subprocess.check_call([cmd_path, '-E', '-M', '-o', out_dir, pyEX_dir, '--force']) def setup(app): app.add_config_value('recommonmark_config', { 'auto_toc_tree_section': 'Contents', }, True) app.add_transform(AutoStructify) app.connect('builder-inited', run_copyreadme) app.connect('builder-inited', run_apidoc)

[ "t.paine154@gmail.com" ]

t.paine154@gmail.com

c1918f6020987d4268163b9fcd8cd562a0d239d6

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/neutron/db/uos_db.py

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[ "Apache-2.0" ]

permissive

CingHu/neutron-ustack

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a1da17d0d63b3342a48c35da37984d6386ee1016

refs/heads/master

2016-08-13T02:02:48.179378

2015-11-27T02:46:46

46,955,615

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# vim: tabstop=4 shiftwidth=4 softtabstop=4 # Copyright 2014 UnitedStack Inc. # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. # @author: Yong Sheng Gong, UnitedStack, inc. from neutron.api.v2 import attributes from neutron.db import db_base_plugin_v2 from neutron.extensions import l3 from neutron.openstack.common import timeutils def _uos_extend_timestamp(res, db): res['created_at'] = timeutils.strtime(db['created_at']) def _uos_extend_floatingip_dict_binding(core_plugin, res, db): _uos_extend_timestamp(res, db) def _uos_extend_router_dict_binding(core_plugin, res, db): _uos_extend_timestamp(res, db) def _uos_extend_network_dict_binding(core_plugin, res, db): _uos_extend_timestamp(res, db) def _uos_extend_port_dict_binding(core_plugin, res, db): _uos_extend_timestamp(res, db) def _uos_extend_subnet_dict_binding(core_plugin, res, db): _uos_extend_timestamp(res, db) def _uos_extend_sg_dict_binding(core_plugin, res, db): _uos_extend_timestamp(res, db) db_base_plugin_v2.NeutronDbPluginV2.register_dict_extend_funcs( l3.FLOATINGIPS, [_uos_extend_floatingip_dict_binding]) db_base_plugin_v2.NeutronDbPluginV2.register_dict_extend_funcs( l3.ROUTERS, [_uos_extend_router_dict_binding]) db_base_plugin_v2.NeutronDbPluginV2.register_dict_extend_funcs( attributes.NETWORKS, [_uos_extend_network_dict_binding]) db_base_plugin_v2.NeutronDbPluginV2.register_dict_extend_funcs( attributes.PORTS, [_uos_extend_port_dict_binding]) db_base_plugin_v2.NeutronDbPluginV2.register_dict_extend_funcs( attributes.SUBNETS, [_uos_extend_subnet_dict_binding]) db_base_plugin_v2.NeutronDbPluginV2.register_dict_extend_funcs( 'security_groups', [_uos_extend_sg_dict_binding])

[ "xining@unitedstack.com" ]

xining@unitedstack.com

2eb41a9f7840f3f1afa3331c5e071c1d40c62578

d3c21f0051e5ca2f45d98381b0372b4cd916b213

/cgi-bin/module/plugins/hoster/RarefileNet.py

8339d40eb79d560f8e907c754e90918bee1bd306

[]

no_license

f3l/shareacc

ca165272f4265180d9178b6a066c69a0b368f8dd

615c71216317f7ac46b5217f5672cad0c71a1e49

refs/heads/master

2020-04-06T06:41:11.278718

2013-02-05T15:15:15

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1

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# -*- coding: utf-8 -*- import re from module.plugins.hoster.XFileSharingPro import XFileSharingPro, create_getInfo from module.utils import html_unescape class RarefileNet(XFileSharingPro): __name__ = "RarefileNet" __type__ = "hoster" __pattern__ = r"http://(?:\w*\.)*rarefile.net/\w{12}" __version__ = "0.01" __description__ = """Rarefile.net hoster plugin""" __author_name__ = ("zoidberg") __author_mail__ = ("zoidberg@mujmail.cz") FILE_NAME_PATTERN = r'<td><font color="red">(?P<N>.*?)</font></td>' FILE_SIZE_PATTERN = r'<td>Size : (?P<S>.+?) ' def handleCaptcha(self, inputs): captcha_div = re.search(r'<b>Enter code.*?<div.*?>(.*?)</div>', self.html, re.S).group(1) self.logDebug(captcha_div) numerals = re.findall('<span.*?padding-left\s*:\s*(\d+).*?>(\d)</span>', html_unescape(captcha_div)) inputs['code'] = "".join([a[1] for a in sorted(numerals, key = lambda num: int(num[0]))]) self.logDebug("CAPTCHA", inputs['code'], numerals) return 3 getInfo = create_getInfo(RarefileNet)

[ "root@server3.kruton.de" ]

root@server3.kruton.de

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/annotation/annot_express.py

58959152c5c2b2d83da9965f1eaa45af7241adbb

[ "LicenseRef-scancode-warranty-disclaimer" ]

no_license

WhiteLab/RNAseq

fb6478f0c8df3ee816d13b7e8998e4440a0ce7a3

ea34f2d0b886076007fa382a87d37cd41e8417bb

refs/heads/master

2021-01-25T15:56:56.386057

2018-04-19T17:03:40

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UTF-8

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1,728

py

#!/usr/bin/env python3 import sys def make_index(index_ref): ind = {} index = open(index_ref, 'r') next(index) for line in index: ann = line.rstrip('\n').split('\t') ind[ann[0]] = {} ind[ann[0]]['name'] = ann[1] ind[ann[0]]['type'] = ann[2] index.close() return ind def annot_express(index_ref, sample): ind = make_index(index_ref) table = open(sample + '.express_quantification.txt', 'r') head = next(table) out_fn = sample + '.express_quantification_annotated.txt' out_fh = open(out_fn, 'w') out_fh.write('name\ttype\t' + head) for line in table: info = line.split('\t') if float(info[3]) > 0: out_fh.write(ind[info[1]]['name'] + '\t ' + ind[info[1]]['type'] + '\t' + line) # skipping this part, ends up being a fat log generator # else: # sys.stderr.write('Skipped ' + ind[info[1]]['name'] + ' ' + ind[info[1]]['type'] + ' ' + info[1] # + ' no reads!\n') table.close() return 0 if __name__ == "__main__": import argparse parser = argparse.ArgumentParser(description='Quantify transcripts using STAR output bam') parser.add_argument('-i', '--index', action='store', dest='index', help='Reference file with RNA gene names,' ' type and trasncript ids') parser.add_argument('-sa', '--sample', action='store', dest='sample', help='Sample name prefix') if len(sys.argv) == 1: parser.print_help() sys.exit(1) inputs = parser.parse_args() index = inputs.index sample = inputs.sample annot_express(index, sample)

[ "miguel.a.brown@gmail.com" ]

miguel.a.brown@gmail.com

c70cf1d502370239756e3024f3a99e04f5a385ee

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/Leetcode/1295. Find Numbers with Even Number of Digits/solution.py

49f4d0d266abbbea8614c1133f3ae970bf4a6cf3

[]

no_license

EduardoSantos7/Algorithms4fun

55fcf9d515ea3b70b93298ac96a58d2ae68dee11

6ff182ed596b6322322b087f29e6ad98baec3f97

refs/heads/master

2023-07-23T01:38:08.216313

2023-07-23T01:35:58

227,448,848

1

null

UTF-8

Python

false

465

py

class Solution: def findNumbers(self, nums: List[int]) -> int: result = 0 seen = {} for num in nums: if num in seen: if not seen[num] % 2: result += 1 continue count = 0 while num > 0: num //= 10 count += 1 seen[num] = count if not count % 2: result += 1 return result

[ "eduardoluissd@gmail.com" ]

eduardoluissd@gmail.com

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d74913eda69ee1799c887a645c574fa5a4da8fba

/code/download/download_soils.py

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#-------------------------------- # Name: download_soils.py # Purpose: Download soil AWC raster # Python: 2.7, 3.5, 3.6 #-------------------------------- import argparse import datetime as dt import logging import os import sys import zipfile from python_common import url_download def main(output_folder, overwrite_flag=False): """Download soil Available Water Capacity (AWC) raster Args: output_folder (str): folder path where files will be saved overwrite_flag (bool): If True, overwrite existing files Returns: None """ # Composite SSURGO/STATSGO download_url = 'https://storage.googleapis.com/openet/ssurgo/AWC_WTA_0to10cm_composite.tif' # STATSGO Only # download_url = 'https://storage.googleapis.com/openet/statsgo/AWC_WTA_0to10cm_statsgo.tif' output_name = download_url.split('/')[-1] output_path = os.path.join(output_folder, output_name) if not os.path.isdir(output_folder): os.makedirs(output_folder) if not os.path.isfile(output_path) or overwrite_flag: logging.info('\nDownloading AWC') logging.info(' {}'.format(download_url)) logging.info(' {}'.format(output_path)) url_download(download_url, output_path) else: logging.debug('\nAWC raster already downloaded') def arg_parse(): """Base all default folders from script location scripts: ./pyMETRIC/code/download code: ./pyMETRIC/code output: ./pyMETRIC/soils """ script_folder = sys.path[0] code_folder = os.path.dirname(script_folder) project_folder = os.path.dirname(code_folder) output_folder = os.path.join(project_folder, 'soils') parser = argparse.ArgumentParser( description='Download Soil Available Water Capcity (AWC)', formatter_class=argparse.ArgumentDefaultsHelpFormatter) parser.add_argument( '--output', help='Output folder', metavar='FOLDER', default=os.path.join(project_folder, 'soils')) parser.add_argument( '-o', '--overwrite', default=None, action="store_true", help='Force overwrite of existing files') parser.add_argument( '-d', '--debug', default=logging.INFO, const=logging.DEBUG, help='Debug level logging', action="store_const", dest="loglevel") args = parser.parse_args() # Convert output folder to an absolute path if args.output and os.path.isdir(os.path.abspath(args.output)): args.output = os.path.abspath(args.output) return args if __name__ == '__main__': args = arg_parse() logging.basicConfig(level=args.loglevel, format='%(message)s') logging.info('\n{}'.format('#' * 80)) log_f = '{:<20s} {}' logging.info(log_f.format('Run Time Stamp:', dt.datetime.now().isoformat(' '))) logging.info(log_f.format('Script:', os.path.basename(sys.argv[0]))) main(output_folder=args.output, overwrite_flag=args.overwrite)

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dgketchum@gmail.com

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# -*- coding: utf-8 -*- import os source = "source" build = "." instr = "sphinx-build -b html "+source+" "+build os.system(instr) os.startfile(build+r"\index.html")

[ "delossantosmfq@gmail.com" ]

delossantosmfq@gmail.com

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/bag/reorder_po.py

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"""Reorder the translations inside a .po file. This script was written because transifex is messy and when you pull translations from transifex, the order of the strings completely changes and when you do a ``git diff`` you cannot make sense of the alterations. It is even hard to see whether any translations have been lost. But if you always reorder the .po after pulling from transifex, then the diff will be readable and the version history will make sense. """ from argh import ArghParser, arg from pathlib import Path from polib import pofile @arg("path", help=".po file to be sorted, or a directory containing .po files") @arg("-e", "--encoding", default="utf-8", help=".po file encoding") def reorder_po(path, encoding="utf-8"): p = Path(path) if p.is_dir(): for path in p.glob("**.po"): _reorder_one(str(path), encoding=encoding) else: _reorder_one(str(path), encoding=encoding) def _reorder_one(path, encoding="utf-8"): po = pofile(path, encoding=encoding) po.sort() po.save(path) def _command(): # http://argh.readthedocs.org/en/latest/ parser = ArghParser(description=__doc__) parser.set_default_command(reorder_po) parser.dispatch() if __name__ == "__main__": _command()

[ "nandoflorestan@gmail.com" ]

nandoflorestan@gmail.com

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/lncrawl/sources/fanfiction.py

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NNTin/lightnovel-crawler

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# -*- coding: utf-8 -*- import json import logging import re from urllib.parse import urlparse from ..utils.crawler import Crawler logger = logging.getLogger(__name__) chapter_url = 'https://www.fanfiction.net/s/%s/%s' search_url = 'https://www.fanfiction.net/search/?keywords=%s&type=story&match=title&ready=1&categoryid=202' class FanFictionCrawler(Crawler): base_url = 'https://www.fanfiction.net/' def search_novel(self, query): query = query.lower().replace(' ', '+') soup = self.get_soup(search_url % query) results = [] for div in soup.select('#content_wrapper .z-list')[:25]: a = div.select_one('a.stitle') a.select_one('img').decompose() info = div.select_one('.xgray').text.strip() chapters = re.findall(r'Chapters: \d+', info)[0] origin_book = re.findall(r'^.+Rated:', info)[0][:-9] writer = div.select_one('a[href*="/u/"]').text.strip() results.append({ 'title': a.text.strip(), 'url': self.absolute_url(a['href']), 'info': '%s | %s | By, %s' % (origin_book, chapters, writer) }) # end for return results # end def def read_novel_info(self): '''Get novel title, autor, cover etc''' logger.debug('Visiting %s', self.novel_url) soup = self.get_soup(self.novel_url) self.novel_title = soup.select_one( '#profile_top b.xcontrast_txt, #content b').text.strip() logger.info('Novel title: %s', self.novel_title) possible_image = soup.select_one('#profile_top img.cimage') if possible_image: self.novel_cover = self.absolute_url(possible_image['src']) # end if logger.info('Novel cover: %s', self.novel_cover) self.novel_author = soup.select_one( '#profile_top, #content').select_one('a[href*="/u/"]').text.strip() logger.info('Novel author: %s', self.novel_author) self.novel_id = urlparse(self.novel_url).path.split('/')[2] logger.info('Novel id: %s', self.novel_id) if soup.select_one('#pre_story_links'): origin_book = soup.select('#pre_story_links a')[-1] self.volumes.append({ 'id': 1, 'title': origin_book.text.strip(), }) else: self.volumes.append({'id': 1}) # end if chapter_select = soup.select_one('#chap_select, select#jump') if chapter_select: for option in chapter_select.select('option'): self.chapters.append({ 'volume': 1, 'id': int(option['value']), 'title': option.text.strip(), 'url': chapter_url % (self.novel_id, option['value']), }) # end for else: self.chapters.append({ 'id': 1, 'volume': 1, 'url': self.novel_url, }) # end if # end def def download_chapter_body(self, chapter): '''Download body of a single chapter and return as clean html format.''' logger.info('Downloading %s', chapter['url']) soup = self.get_soup(chapter['url']) contents = soup.select_one('#storytext, #storycontent') return str(contents) # end def # end class

[ "dipu.sudipta@gmail.com" ]

dipu.sudipta@gmail.com

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HumanCompatibleAI/interactive-behaviour-design

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import numpy as np import tensorflow as tf def placeholder(dim=None): return tf.placeholder(dtype=tf.float32, shape=(None,dim) if dim else (None,)) def placeholders(*args): return [placeholder(dim) for dim in args] def mlp(x, hidden_sizes=(32,), activation=tf.tanh, output_activation=None): for h in hidden_sizes[:-1]: x = tf.layers.dense(x, units=h, activation=activation) return tf.layers.dense(x, units=hidden_sizes[-1], activation=output_activation, kernel_initializer=tf.initializers.orthogonal(gain=0.01)) def get_vars(scope): return [x for x in tf.global_variables() if scope in x.name] def count_vars(scope): v = get_vars(scope) return sum([np.prod(var.shape.as_list()) for var in v]) """ Actor-Critics """ def mlp_actor_critic(x, a, hidden_sizes=(400,300), activation=tf.nn.relu, output_activation=tf.tanh, action_space=None): act_dim = a.shape.as_list()[-1] act_limit = action_space.high[0] with tf.variable_scope('pi'): pi = act_limit * mlp(x, list(hidden_sizes)+[act_dim], activation, output_activation) with tf.variable_scope('q1'): q1 = tf.squeeze(mlp(tf.concat([x,a], axis=-1), list(hidden_sizes)+[1], activation, None), axis=1) with tf.variable_scope('q2'): q2 = tf.squeeze(mlp(tf.concat([x,a], axis=-1), list(hidden_sizes)+[1], activation, None), axis=1) with tf.variable_scope('q1', reuse=True): q1_pi = tf.squeeze(mlp(tf.concat([x,pi], axis=-1), list(hidden_sizes)+[1], activation, None), axis=1) return pi, q1, q2, q1_pi

[ "matthew.rahtz@gmail.com" ]

matthew.rahtz@gmail.com

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/costom_tfp_model_/bayesian/train.py

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[]

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mahdisharifloo/tensorflow_lite_projects

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refs/heads/master

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2020-08-12T20:26:40

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# -*- coding: utf-8 -*- import pandas as pd import numpy as np import itertools import tensorflow_probability as tfp import tensorflow as tf import tensorflow.keras as keras from sklearn import metrics from sklearn.metrics import confusion_matrix from tensorflow.keras.preprocessing.image import ImageDataGenerator, img_to_array, load_img from tensorflow.keras.models import Sequential from tensorflow.keras import optimizers from tensorflow.keras.preprocessing import image from tensorflow.keras.layers import Dropout, Flatten, Dense from tensorflow.keras import applications from tensorflow.keras.utils import to_categorical import matplotlib.pyplot as plt import matplotlib.image as mpimg import math import datetime import time # load the bottleneck features saved earlier train_data = np.load('bottleneck_features_train.npy') test_data = np.load('bottleneck_features_test.npy') # get the class labels for the training data, in the original order train_labels = generator_top.classes test_labels = val_generator_top.classes # convert the training labels to categorical vectors train_labels = to_categorical(train_labels, num_classes=num_classes) test_labels = to_categorical(test_labels, num_classes=num_classes) start = datetime.datetime.now() kernel_divergence_fn=lambda q, p, _: tfp.distributions.kl_divergence(q, p) / (train_data.shape[0] *1.0) model_vi = Sequential() # model_vi.add(Flatten(input_shape=train_data.shape[1:])) model_vi.add(tf.keras.layers.InputLayer(input_shape=train_data.shape[1:], name="input")) model_vi.add(tfp.layers.Convolution2DFlipout(8,kernel_size=(3,3),padding="same", activation = 'relu', kernel_divergence_fn=kernel_divergence_fn,input_shape=(32,32,3))) model_vi.add(tfp.layers.Convolution2DFlipout(8,kernel_size=(3,3),padding="same", activation = 'relu', kernel_divergence_fn=kernel_divergence_fn)) model_vi.add(tf.keras.layers.MaxPooling2D((2,2))) model_vi.add(tfp.layers.Convolution2DFlipout(16,kernel_size=(3,3),padding="same", activation = 'relu', kernel_divergence_fn=kernel_divergence_fn)) model_vi.add(tfp.layers.Convolution2DFlipout(16,kernel_size=(3,3),padding="same", activation = 'relu', kernel_divergence_fn=kernel_divergence_fn)) model_vi.add(tf.keras.layers.MaxPooling2D((2,2))) model_vi.add(tf.keras.layers.Flatten()) model_vi.add(tfp.layers.DenseFlipout(100, activation = 'relu', kernel_divergence_fn=kernel_divergence_fn)) model_vi.add(tfp.layers.DenseFlipout(100, activation = 'relu', kernel_divergence_fn=kernel_divergence_fn)) model_vi.add(tfp.layers.DenseFlipout(num_classes, activation = 'softmax', kernel_divergence_fn=kernel_divergence_fn)) model_vi.compile(loss='categorical_crossentropy', optimizer=optimizers.RMSprop(lr=1e-4), metrics=['accuracy']) model_vi.summary() history = model_vi.fit(train_data, train_labels, epochs=epochs, batch_size=batch_size, validation_data=(test_data, test_labels)) (eval_loss, eval_accuracy) = model_vi.evaluate( test_data, test_labels, batch_size=batch_size,verbose=1) print("[INFO] accuracy: {:.2f}%".format(eval_accuracy * 100)) print("[INFO] Loss: {}".format(eval_loss)) end= datetime.datetime.now() elapsed= end-start print ("Time: ", elapsed) model_vi.save_weights(top_model_weights_path) #Graphing our training and validation acc = history.history['accuracy'] val_acc = history.history['val_accuracy'] loss = history.history['loss'] val_loss = history.history['val_loss'] epochs = range(len(acc)) plt.plot(epochs, acc, 'r', label='Training acc') plt.plot(epochs, val_acc, 'b', label='Validation acc') plt.title('Training and validation accuracy') plt.ylabel('accuracy') plt.xlabel('epoch') plt.legend() plt.figure() plt.plot(epochs, loss, 'r', label='Training loss') plt.plot(epochs, val_loss, 'b', label='Validation loss') plt.title('Training and validation loss') plt.ylabel('loss') plt.xlabel('epoch') plt.legend() plt.show()

[ "0059sharifloo@gmail.com" ]

0059sharifloo@gmail.com

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/python/euler29.py

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vochong/project-euler

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def euler29(): """ Consider all integer combinations of ab for 2 <= a <= 5 and 2 <= b <= 5: 22=4, 23=8, 24=16, 25=32 32=9, 33=27, 34=81, 35=243 42=16, 43=64, 44=256, 45=1024 52=25, 53=125, 54=625, 55=3125 If they are then placed in numerical order, with any repeats removed, we get the following sequence of 15 distinct terms: 4, 8, 9, 16, 25, 27, 32, 64, 81, 125, 243, 256, 625, 1024, 3125 How many distinct terms are in the sequence generated by ab for 2 <= a <= 100 and 2 <= b <= 100? """ pows = [] for a in range(2, 101): for b in range(2, 101): pows.append(a**b) return len(set(pows)) if __name__ == "__main__": print euler29()

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kueltz.anton@gmail.com

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# -*- coding: utf-8 -*- import datetime from south.db import db from south.v2 import SchemaMigration from django.db import models class Migration(SchemaMigration): def forwards(self, orm): # Adding field 'Page.header_image' db.add_column(u'pages_page', 'header_image', self.gf('django.db.models.fields.files.ImageField')(max_length=100, null=True, blank=True), keep_default=False) def backwards(self, orm): # Deleting field 'Page.header_image' db.delete_column(u'pages_page', 'header_image') models = { u'pages.block': { 'Meta': {'ordering': "(u'name',)", 'object_name': 'Block'}, 'body': ('redactor.fields.RedactorField', [], {}), 'body_en': ('redactor.fields.RedactorField', [], {'null': 'True', 'blank': 'True'}), 'body_fr': ('redactor.fields.RedactorField', [], {'null': 'True', 'blank': 'True'}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '200'}), 'name_en': ('django.db.models.fields.CharField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}), 'name_fr': ('django.db.models.fields.CharField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}), 'template': ('django.db.models.fields.CharField', [], {'default': "u'pages/block.html'", 'max_length': '50'}) }, u'pages.page': { 'Meta': {'ordering': "(u'name',)", 'object_name': 'Page'}, 'blocks': ('sortedm2m.fields.SortedManyToManyField', [], {'to': u"orm['pages.Block']", 'symmetrical': 'False', 'blank': 'True'}), 'body': ('redactor.fields.RedactorField', [], {}), 'body_en': ('redactor.fields.RedactorField', [], {'null': 'True', 'blank': 'True'}), 'body_fr': ('redactor.fields.RedactorField', [], {'null': 'True', 'blank': 'True'}), 'header_image': ('django.db.models.fields.files.ImageField', [], {'max_length': '100', 'null': 'True', 'blank': 'True'}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '200'}), 'name_en': ('django.db.models.fields.CharField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}), 'name_fr': ('django.db.models.fields.CharField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}), 'photos': ('sortedm2m.fields.SortedManyToManyField', [], {'to': u"orm['pages.Photo']", 'symmetrical': 'False', 'blank': 'True'}), 'slug': ('django.db.models.fields.CharField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}), 'slug_en': ('django.db.models.fields.CharField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}), 'slug_fr': ('django.db.models.fields.CharField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}), 'template': ('django.db.models.fields.CharField', [], {'default': "u'pages/page_detail.html'", 'max_length': '50'}) }, u'pages.photo': { 'Meta': {'ordering': "(u'name',)", 'object_name': 'Photo'}, u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'image': ('django.db.models.fields.files.ImageField', [], {'max_length': '100'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '200'}), 'name_en': ('django.db.models.fields.CharField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}), 'name_fr': ('django.db.models.fields.CharField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}) } } complete_apps = ['pages']

[ "jamespic@gmail.com" ]

jamespic@gmail.com

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from django.http import ( HttpResponseRedirect, HttpResponse, HttpResponseForbidden ) from django.conf import settings from django.contrib.auth import login, authenticate, logout from django.core.urlresolvers import reverse from django.contrib.gis.geos import * import oauth2 as oauth import urllib try: import simplejson as json except ImportError: import json from core.models import Checkin SERVER = getattr(settings, 'OAUTH_SERVER', 'foursquare.com') AUTHENTICATE_URL = getattr(settings, 'OAUTH_REQUEST_TOKEN_URL', 'http://%s/oauth2/authenticate' % SERVER) ACCESS_TOKEN_URL = getattr(settings, 'OAUTH_ACCESS_TOKEN_URL', 'http://%s/oauth2/access_token' % SERVER) API_URL= "https://api.foursquare.com/v2/" FOURSQUARE_CONSUMER_KEY = getattr(settings, 'FOURSQUARE_CONSUMER_KEY', 'YOUR_KEY') FOURSQUARE_CONSUMER_SECRET = getattr(settings, 'FOURSQUARE_CONSUMER_SECRET', 'YOUR_SECRET') def auth(request): params = { 'response_type': 'code', 'client_id': FOURSQUARE_CONSUMER_KEY, 'redirect_uri': 'http://geojam.djangostars.com/auth/return/' } url = AUTHENTICATE_URL + "?" + urllib.urlencode(params) return HttpResponseRedirect(url) def logout_(request): request.session.clear() logout(request) return HttpResponseRedirect(reverse('dashboard')) def fetch_data(api, token): link = API_URL + api + "?oauth_token=" + token try: f = urllib.urlopen(link) except: pass else: return json.loads(f.read()) def fetch_checkins(token): api = 'users/self/checkins' link = API_URL + api + "?oauth_token=" + token try: f = urllib.urlopen(link) except: pass data = json.loads(f.read()) for item in data['response']['checkins']['items']: geodata = Point( item['venue']['location']['lng'], item['venue']['location']['lat']) # import pdb # pdb.set_trace() checkin = Checkin( type = 2, title = item['venue']['name'], geodata = geodata ) checkin.save() def return_(request): code = request.GET.get('code', None) if code: params = { 'client_id': FOURSQUARE_CONSUMER_KEY, 'client_secret': FOURSQUARE_CONSUMER_SECRET, 'grant_type': 'authorization_code', 'redirect_uri': 'http://geojam.djangostars.com/auth/return/', 'code': code, } params = urllib.urlencode(params) f = urllib.urlopen(ACCESS_TOKEN_URL+"?"+params) token = f.read() token = json.loads(token)['access_token'] # Get user information using api request data = fetch_data('users/self', token) foursquare_user_data = data['response']['user'] user = authenticate(foursquare_user_data=foursquare_user_data, access_token=token) login(request, user) request.session['token_%s' % user.username] = token # Fetch last 100 checkins from foursquare fetch_checkins(token) return HttpResponseRedirect(reverse('dashboard')) else: return HttpResponseForbidden("Hei, Go away!")

[ "dijakroot@gmail.com" ]

dijakroot@gmail.com

8b5625755b9e41df88d4a4fa0ad12b81868a1b34

35a6f993b84afdd2c0ade094e0312b3aaa53294f

/src/tag_server/mit-cf/tag/views.py

c82f2d03e392253686f1b08a315d5390d5336484

[]

no_license

MIT-repository/tag_server

3266875ac8efee255b324eead419a62a0320f511

488b0582b1341d0a1d372681d57aa456b7d5c9d6

refs/heads/master

2022-12-09T00:21:41.601852

2020-08-19T12:24:01

288,722,644

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Python

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py

from django.http import HttpResponse, JsonResponse from django.shortcuts import render import os, boto3 from .models import Song from .DeepAudioClassification.main import predict # Create your views here. service_name = os.environ.get('service_name') endpoint_url = os.environ.get('s3_url') region_name = os.environ.get('reg') access_key = os.environ.get('s3_key') secret_key = os.environ.get('secret_key') s3 = boto3.client(service_name, endpoint_url=endpoint_url, aws_access_key_id=access_key, aws_secret_access_key=secret_key) base = os.path.dirname( os.path.abspath( __file__ ) ) master_path = base+'/DeepAudioClassification/Prediction/' #master_path = '/' def tag(requests, bucket,folder, name): down_name = folder+'/'+name local_file_path = master_path + 'Raw/{}'.format(name) # try: # song = Song.objects.get(name=name,bucket=bucket) print("download :", local_file_path) #except Exception as err: #print(err) s3.download_file(bucket, down_name, local_file_path) #song = Song.objects.create(name=name, bucket=bucket, genre='test') genre = predict() os.remove(local_file_path) os.remove(master_path+'Slices/predict/*') return JsonResponse( { "bucket": bucket, "name": name, "genre": genre }, safe=False, json_dumps_params={'ensure_ascii': False} )

[ "l4538@naver.com" ]

l4538@naver.com

392292d26e820beee08966256dc3b7e7deabcff6

13b46582bb6bbfe08a2e24127198ded24e6c0ad3

/server/security/migrations/0002_auto_20210103_2232.py

6e941810356d692616f510085d017f85a27449ad

[]

no_license

dmetrosoft/seo-audits-toolkit

9b12735d8345ef5075e87e6ea09440e01e32746f

c3e95fc4bf51d72e61c0507c14bd384d2368f475

refs/heads/master

2023-08-25T06:11:54.055464

2021-04-08T15:51:23

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UTF-8

Python

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706

py

# Generated by Django 3.1.4 on 2021-01-03 22:32 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('security', '0001_initial'), ] operations = [ migrations.RenameField( model_name='security_result', old_name='pwa_score', new_name='result', ), migrations.AddField( model_name='security', name='score', field=models.CharField(max_length=20, null=True), ), migrations.AddField( model_name='security_result', name='score', field=models.CharField(max_length=20, null=True), ), ]

[ "stan@primates.dev" ]

stan@primates.dev

0254a942224af44e67171f739c52b55757946efb

84688ba401bb0d82f5345d7b2c1c91c1b82b8c41

/notifications/migrations/0002_auto_20190726_2030.py

88f0133b4bf298f0baf1018c1867724b1a9f4611

[]

no_license

AbrahamMayowa/edupam

14878df433f356b60c0bda700457123c6db8c734

97908dc56913d0a06fa0340c5985496935b9a097

refs/heads/master

2023-05-10T23:42:37.043219

2022-10-11T09:19:58

167,404,444

0

null

2023-04-30T07:46:03

2019-01-24T17:02:44

JavaScript

UTF-8

Python

false

1,124

py

# Generated by Django 2.1.3 on 2019-07-26 20:30 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('notifications', '0001_initial'), ] operations = [ migrations.AddField( model_name='thumpednotification', name='is_comment_thump', field=models.BooleanField(default=False), ), migrations.AlterField( model_name='thumpednotification', name='created', field=models.DateTimeField(auto_now_add=True, db_index=True), ), migrations.AlterField( model_name='thumpednotification', name='target_id', field=models.PositiveIntegerField(blank=True, db_index=True, null=True), ), migrations.AlterField( model_name='thumpednotification', name='thumped_target', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='thumped_up_target', to='contenttypes.ContentType'), ), ]

[ "root@ubuntu.ubuntu-domain" ]

root@ubuntu.ubuntu-domain

2c6f7329cf5f3fe94f8c1b248451d1d8a25c4bf2

5d8fbd0ae055a830be62de0191113f6e03f91046

/practice4v.py

9c6f45f76ba2a4b62ff72c2bb4abf339ca89b233

[]

no_license

harmansehmbi/Project4

ba892d921c6b1a9b595a0aa1781afcd79fee5269

baf7e75199d99b60431ba191fbb53fbcd25116cb

refs/heads/master

2020-06-01T16:02:57.311321

2019-06-08T04:01:07

190,843,134

0

null

UTF-8

Python

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261

py

dishes = {"dish1":100, "dish2":200, "dish3":300, "dish4":150} print() keys = list(dishes.keys()) values = list(dishes.values()) print(keys, type(keys)) print() print(values, type(values)) print() print(max(dishes.keys())) print() print(max(dishes.values()))

[ "51370954+harmansehmbi@users.noreply.github.com" ]

51370954+harmansehmbi@users.noreply.github.com

1e3e7d87108b4bf2008a6bcf63f8e833328da5e4

73b73f15adefd4c8d1fc2888406fc7f6b567c9f0

/blogapp/urls.py

2a66e3ab5b4a63a0add5b35819cd5fcf89b51d67

[]

no_license

codenotespy/www.codenotes.site_dj

ed4b736814b783b32d41ee1add70bda4eb9522dc

e1cd0dcb2e6fbdfec4b7ebdf7b19e2338a297e48

refs/heads/main

2023-06-09T22:51:46.291207

2021-06-29T03:56:14

381,232,611

0

null

UTF-8

Python

false

1,505

py

from django.urls import path from . import views urlpatterns = [ path('', views.blog_menu, name='blog_menu'), path('contact', views.contact, name='contact'), path('upload_blog', views.upload_blog, name='upload_blog'), path('blog/<int:id>/', views.blog, name='blog'), path('blog_like/<int:id>/', views.blog_like, name='blog_like'), path('blog_up/<int:id>/', views.blog_up, name='blog_up'), path('blog_down/<int:id>/', views.blog_down, name='blog_down'), path('priorityform/<int:id>/', views.priorityform, name='priorityform'), path('delete_blog/<int:pk>/', views.delete_blog, name='delete_blog'), path('update_blog/<int:id>/', views.update_blog, name='update_blog'), path('update_blog_cover/<int:pk>/', views.update_blog_cover, name='update_blog_cover'), path('bio_update', views.bio_update, name='bio_update'), path('mybio', views.mybio, name='mybio'), path('tags/<slug:tag_slug>/', views.TagIndexBlog, name='posts_by_tag'), path('blogsforuser/<int:id>/', views.blogsforuser, name='blogsforuser'), path('bioforuser/<int:id>/', views.bioforuser, name='bioforuser'), path('about_update', views.about_update, name='about_update'), path('site_about', views.site_about, name='site_about'), path('authormenu', views.authormenu, name='authormenu'), ] from django.conf import settings from django.conf.urls.static import static if settings.DEBUG: urlpatterns += static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT)

[ "aydinugur8@hotmail.com" ]

aydinugur8@hotmail.com

dbe56d846912e13b4c72c12ef311a8562813ec85

ab5cdf8f2de94c327e4679da84f941b1f3c04db4

/kubernetes/test/test_v1_glusterfs_volume_source.py

39a802f1d91d71050744ebdb7a46060e9740cc45

[ "Apache-2.0" ]

permissive

diannaowa/client-python

a4a92a125178db26004eaef5062f9b1b581b49a8

5e268fb0b6f21a535a14a7f968b84ed4486f6774

refs/heads/master

2020-12-02T22:06:03.687696

2017-06-30T21:42:50

null

0

null

UTF-8

Python

false

925

py

# coding: utf-8 """ Kubernetes No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) OpenAPI spec version: v1.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import os import sys import unittest import kubernetes.client from kubernetes.client.rest import ApiException from kubernetes.client.models.v1_glusterfs_volume_source import V1GlusterfsVolumeSource class TestV1GlusterfsVolumeSource(unittest.TestCase): """ V1GlusterfsVolumeSource unit test stubs """ def setUp(self): pass def tearDown(self): pass def testV1GlusterfsVolumeSource(self): """ Test V1GlusterfsVolumeSource """ model = kubernetes.client.models.v1_glusterfs_volume_source.V1GlusterfsVolumeSource() if __name__ == '__main__': unittest.main()

[ "mehdy@google.com" ]

mehdy@google.com

c1895e6e58c9a7846f94b1a64c77145bf2a32ad3

3f69ffa4e42526c50100dc0f7e7ad88502a664e1

/pyforms_gui/controls/control_event_timeline/events/pointer.py

18b837dbd20aa023d08cb86c2a9135e181aa04f9

[]

no_license

UmSenhorQualquer/pyforms-gui

d09854839ff20d26703034e596658e28730362ec

a25bcfe3229e9eaab94fdd84dd749c5de071d836

refs/heads/v4

2022-05-05T11:20:38.432276

2021-06-03T16:13:59

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2022-03-24T16:23:47

2018-05-18T22:09:20

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false

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py

# !/usr/bin/python # -*- coding: utf-8 -*- from AnyQt.QtGui import QColor from AnyQt import QtCore class Pointer(object): def __init__(self, position, parent): """ :param position: :param parent: """ self._position = position self._parent = parent def draw(self, painter, showvalues=False, highlight=False): """ :param painter: :param showvalues: :return: """ if highlight: painter.setPen(QColor(0, 150, 150)) painter.setBrush(QColor(0, 150, 150)) else: painter.setPen(QColor(0, 255, 0)) painter.setBrush(QColor(0, 255, 0)) painter.drawLine( self.xposition, 8, self.xposition, self._parent.height()) painter.drawEllipse(QtCore.QPoint(self.xposition, 8), 5, 5) painter.drawText(self.xposition + 8, 8 + 4, str(self._position)) ########################################################################## #### HELPERS/FUNCTIONS ################################################### ########################################################################## def moveEvent(self): """ :return: """ pass def collide(self, x, y): """ :param x: :param y: :return: """ return self.begin <= x <= self.end and 0 <= y <= self._parent.TOPTRACK_HEIGHT def can_slide_begin(self, x, y): """ :param x: :param y: :return: """ return False def can_slide_end(self, x, y): """ :param x: :param y: :return: """ return False def move(self, x, y): """ :param x: :param y: :return: """ x = int(round(x / self._parent._scale)) if (self._position - x) >= 0 and (self._position - x) <= (self._parent.width() / self._parent._scale): self._position += x self.moveEvent() ########################################################################## #### PROPERTIES ########################################################## ########################################################################## @property def xposition(self): return self._parent.frame2x(self.position) @property def position(self): return self._position @position.setter def position(self, value): self._position = value self.moveEvent() @property def frame(self): return self._position @property def begin(self): return self._position * self._parent.scale - 5 @property def end(self): return self._position * self._parent.scale + 5

[ "ricardojvr@gmail.com" ]

ricardojvr@gmail.com

5c875bc14088390b5c80f58390c190466aa572b3

31b9c04fd1edc1401721e9010a171cdb0da8e77f

/mysite/main/migrations/0002_post_mainphoto.py

c2907525a31e84b2a70cdab6c5c5c4b1a5a153c0

[]

no_license

ChoiKangM/replyWithDjango

2b0685bf1f9934d0dcb48ac7525e8a6f41c46d2d

2bdafabddfaca48b1b5b91cb09a3b7404e4472e7

refs/heads/master

2023-08-08T03:32:46.305187

2019-05-14T21:08:39

null

0

null

UTF-8

Python

false

394

py

# Generated by Django 2.1.8 on 2019-05-07 01:41 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('main', '0001_initial'), ] operations = [ migrations.AddField( model_name='post', name='mainphoto', field=models.ImageField(blank=True, null=True, upload_to=''), ), ]

[ "choikm3847@gmail.com" ]

choikm3847@gmail.com

f7ffd0f4812bee9b9bd47aa0f720b0e299eb38f3

14483184f0eabafab14f75a052a69e363f973f99

/101.symmetric-tree.py

80f9454d04af06824f3e4018d4db3b084a9ef349

[]

no_license

DizzyYunxuan/Leetcode_answers

d38679935214597bae973a1fef03334005802819

9605165b684bc5a1299a418bb274dc0d3be117a6

refs/heads/master

2021-06-19T15:01:34.991783

2021-03-31T12:10:52

196,497,506

1

0

null

UTF-8

Python

false

903

py

# # @lc app=leetcode id=101 lang=python3 # # [101] Symmetric Tree # # Definition for a binary tree node. # class TreeNode: # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution: def isSymmetric(self, root: TreeNode) -> bool: return self.isSameTree(root.left, root.right) if root else True def isSameTree(self, p: TreeNode, q: TreeNode) -> bool: if not p and not q: return True if (not p or not q): return False elif p.val != q.val: return False left = self.isSameTree(p.left, q.right) right = self.isSameTree(p.right, q.left) return left and right ✔ Accepted ✔ 195/195 cases passed (44 ms) ✔ Your runtime beats 40.99 % of python3 submissions ✔ Your memory usage beats 5.17 % of python3 submissions (14 MB)

[ "516488199@qq.com" ]

516488199@qq.com

00f589526d0fa2d4c1641fdcd926f14682be16c1

24a9c8f2fac4e2b20f731387336ec4e22d5fd2c7

/司法题1/词云.py

d4b2be329075aba70d6f82c1eede21a6a482937d

[]

no_license

yunli45/pycharmProjectHome

94833822e3036bf2baf8700c4493132e63177d4c

9a382c060963eb801a3da07423e84a4132257b02

refs/heads/master

2020-05-23T23:35:20.476973

2019-05-16T09:45:58

2019-05-16T09:49:16

186,986,803

0

null

UTF-8

Python

false

1,770

py

# -*- coding: utf-8 -*- """ # code is far away from bugs with the god animal protecting I love animals. They taste delicious. ┏┓ ┏┓ ┏┛┻━━━┛┻┓ ┃ ☃ ┃ ┃ ┳┛ ┗┳ ┃ ┃ ┻ ┃ ┗━┓ ┏━┛ ┃ ┗━━━┓ ┃ 神兽保佑 ┣┓ ┃　永无BUG！ ┏┛ ┗┓┓┏━┳┓┏┛ ┃┫┫ ┃┫┫ ┗┻┛ ┗┻┛ """ """ Minimal Example =============== 使用默认参数生成方形的词云 """ from wordcloud import WordCloud from os import path d = path.dirname(__file__) # 读取整个文本 text = open(path.join(d, "Alice.txt")).read() # 生成词云图像 # wordcloud = WordCloud.generate(text) # matplotlib的方式展示生成的词云图像 import matplotlib.pyplot as plt # plt.imshow(wordcloud, interpolation="bilinear") # 展示 # plt.axis("off") #max_font_size设定生成词云中的文字最大大小 #width,height,margin可以设置图片属性 # generate 可以对全部文本进行自动分词,但是他对中文支持不好 wordcloud = WordCloud(max_font_size=66).generate(text) plt.figure() plt.imshow(wordcloud, interpolation="bilinear") plt.axis("off") plt.show() #保存到本地 wordcloud.to_file(path.join(d, "alice.png")) # pil方式展示生成的词云图像（如果你没有matplotlib） # image = wordcloud.to_image() # image.show()

[ "yunli_45@163.com" ]

yunli_45@163.com

4396e7581798f07422042200815e7f3b1af1ea69

b32300bf27d391fd9441cfbd9c86cd2943617e42

/py_osm_cluster/util/coords.py

8fedcd390dc44d775b94e294fe802641438b7c96

[]

no_license

jakubwida/py_osm_cluster_bachelors

71668552e5895ea7e0622d9fa54eb13ad264c31c

ea151268b184a38a6371c8df919fec7ef10cffaa

refs/heads/master

2021-01-25T07:49:09.313509

2017-07-04T09:40:24

93,666,761

0

null

UTF-8

Python

false

2,144

py

class Coords: def __init__(self): self.labels = [] self.coords = [] self.c_number = 0 self.c_positions = [] def assimilate(self,other_coords): self.coords = self.coords+other_coords.coords self.c_number = self.c_number+other_coords.c_number self.c_positions = self.c_positions+other_coords.c_positions max_label = max(self.labels) self.labels = self.labels + [x+max_label for x in other_coords.labels] def write_file(self,filename): f = open(filename,'w') f.write(str(self)) """ f.write('coords\n') for element in self.coords: f.write(str(element[0])+' '+str(element[1])+'\n') f.write('labels\n') for element in self.labels: f.write(str(element)+'\n') f.write('c_number\n') f.write(str(self.c_number)+'\n') f.write('c_positions\n') for element in self.c_positions: f.write(str(element[0])+' '+str(element[1])+'\n') """ def read_file(self,filename): f = open(filename,'r') modes =["coords","labels","c_number","c_positions"] mode = None for line in f: line = line.strip("\n") #print(repr(line)) if line in modes: mode = line else: line = [float(x) for x in line.split(" ")] if mode == "coords": self.coords.append(line) elif mode == "c_positions": self.c_positions.append(line) elif mode == "c_number": self.c_number = int(line[0]) elif mode == "labels": self.labels.append(int(line[0])) def __str__(self): out ="" out = out + 'coords\n' for element in self.coords: out = out + str(element[0])+' '+str(element[1])+'\n' out = out + 'labels\n' for element in self.labels: out = out + str(element)+'\n' out = out + 'c_number\n' out = out + str(self.c_number)+'\n' out = out + 'c_positions\n' for element in self.c_positions: out = out + str(element[0])+' '+str(element[1])+'\n' return out """ returns a dictionary where keys = label values, values = lists of coords under these labels""" def clusters_into_lists_dict(self): out = {} for num,i in enumerate(self.coords): label = self.labels[num] if label in out: out[label].append(i) else: out[label] = [i] return out

[ "jakub.wida@outlook.com" ]

jakub.wida@outlook.com

cc0502e3cab1bd6a7d5f807163d274ebcf5b5a7d

a6e4a6f0a73d24a6ba957277899adbd9b84bd594

/sdk/python/pulumi_azure_native/storsimple/get_manager_extended_info.py

f1ef7dd5ffdca94ce009fca602b31b92407d3c83

[ "BSD-3-Clause", "Apache-2.0" ]

permissive

MisinformedDNA/pulumi-azure-native

9cbd75306e9c8f92abc25be3f73c113cb93865e9

de974fd984f7e98649951dbe80b4fc0603d03356

refs/heads/master

2023-03-24T22:02:03.842935

2021-03-08T21:16:19

null

0

null

UTF-8

Python

false

7,305

py

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union from .. import _utilities, _tables __all__ = [ 'GetManagerExtendedInfoResult', 'AwaitableGetManagerExtendedInfoResult', 'get_manager_extended_info', ] @pulumi.output_type class GetManagerExtendedInfoResult: """ The extended info of the manager. """ def __init__(__self__, algorithm=None, encryption_key=None, encryption_key_thumbprint=None, etag=None, id=None, integrity_key=None, kind=None, name=None, portal_certificate_thumbprint=None, type=None, version=None): if algorithm and not isinstance(algorithm, str): raise TypeError("Expected argument 'algorithm' to be a str") pulumi.set(__self__, "algorithm", algorithm) if encryption_key and not isinstance(encryption_key, str): raise TypeError("Expected argument 'encryption_key' to be a str") pulumi.set(__self__, "encryption_key", encryption_key) if encryption_key_thumbprint and not isinstance(encryption_key_thumbprint, str): raise TypeError("Expected argument 'encryption_key_thumbprint' to be a str") pulumi.set(__self__, "encryption_key_thumbprint", encryption_key_thumbprint) if etag and not isinstance(etag, str): raise TypeError("Expected argument 'etag' to be a str") pulumi.set(__self__, "etag", etag) if id and not isinstance(id, str): raise TypeError("Expected argument 'id' to be a str") pulumi.set(__self__, "id", id) if integrity_key and not isinstance(integrity_key, str): raise TypeError("Expected argument 'integrity_key' to be a str") pulumi.set(__self__, "integrity_key", integrity_key) if kind and not isinstance(kind, str): raise TypeError("Expected argument 'kind' to be a str") pulumi.set(__self__, "kind", kind) if name and not isinstance(name, str): raise TypeError("Expected argument 'name' to be a str") pulumi.set(__self__, "name", name) if portal_certificate_thumbprint and not isinstance(portal_certificate_thumbprint, str): raise TypeError("Expected argument 'portal_certificate_thumbprint' to be a str") pulumi.set(__self__, "portal_certificate_thumbprint", portal_certificate_thumbprint) if type and not isinstance(type, str): raise TypeError("Expected argument 'type' to be a str") pulumi.set(__self__, "type", type) if version and not isinstance(version, str): raise TypeError("Expected argument 'version' to be a str") pulumi.set(__self__, "version", version) @property @pulumi.getter def algorithm(self) -> str: """ Represents the encryption algorithm used to encrypt the keys. None - if Key is saved in plain text format. Algorithm name - if key is encrypted """ return pulumi.get(self, "algorithm") @property @pulumi.getter(name="encryptionKey") def encryption_key(self) -> Optional[str]: """ Represents the CEK of the resource. """ return pulumi.get(self, "encryption_key") @property @pulumi.getter(name="encryptionKeyThumbprint") def encryption_key_thumbprint(self) -> Optional[str]: """ Represents the Cert thumbprint that was used to encrypt the CEK. """ return pulumi.get(self, "encryption_key_thumbprint") @property @pulumi.getter def etag(self) -> Optional[str]: """ The etag of the resource. """ return pulumi.get(self, "etag") @property @pulumi.getter def id(self) -> str: """ The path ID that uniquely identifies the object. """ return pulumi.get(self, "id") @property @pulumi.getter(name="integrityKey") def integrity_key(self) -> str: """ Represents the CIK of the resource. """ return pulumi.get(self, "integrity_key") @property @pulumi.getter def kind(self) -> Optional[str]: """ The Kind of the object. Currently only Series8000 is supported """ return pulumi.get(self, "kind") @property @pulumi.getter def name(self) -> str: """ The name of the object. """ return pulumi.get(self, "name") @property @pulumi.getter(name="portalCertificateThumbprint") def portal_certificate_thumbprint(self) -> Optional[str]: """ Represents the portal thumbprint which can be used optionally to encrypt the entire data before storing it. """ return pulumi.get(self, "portal_certificate_thumbprint") @property @pulumi.getter def type(self) -> str: """ The hierarchical type of the object. """ return pulumi.get(self, "type") @property @pulumi.getter def version(self) -> Optional[str]: """ The version of the extended info being persisted. """ return pulumi.get(self, "version") class AwaitableGetManagerExtendedInfoResult(GetManagerExtendedInfoResult): # pylint: disable=using-constant-test def __await__(self): if False: yield self return GetManagerExtendedInfoResult( algorithm=self.algorithm, encryption_key=self.encryption_key, encryption_key_thumbprint=self.encryption_key_thumbprint, etag=self.etag, id=self.id, integrity_key=self.integrity_key, kind=self.kind, name=self.name, portal_certificate_thumbprint=self.portal_certificate_thumbprint, type=self.type, version=self.version) def get_manager_extended_info(manager_name: Optional[str] = None, resource_group_name: Optional[str] = None, opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetManagerExtendedInfoResult: """ The extended info of the manager. API Version: 2017-06-01. :param str manager_name: The manager name :param str resource_group_name: The resource group name """ __args__ = dict() __args__['managerName'] = manager_name __args__['resourceGroupName'] = resource_group_name if opts is None: opts = pulumi.InvokeOptions() if opts.version is None: opts.version = _utilities.get_version() __ret__ = pulumi.runtime.invoke('azure-native:storsimple:getManagerExtendedInfo', __args__, opts=opts, typ=GetManagerExtendedInfoResult).value return AwaitableGetManagerExtendedInfoResult( algorithm=__ret__.algorithm, encryption_key=__ret__.encryption_key, encryption_key_thumbprint=__ret__.encryption_key_thumbprint, etag=__ret__.etag, id=__ret__.id, integrity_key=__ret__.integrity_key, kind=__ret__.kind, name=__ret__.name, portal_certificate_thumbprint=__ret__.portal_certificate_thumbprint, type=__ret__.type, version=__ret__.version)

[ "noreply@github.com" ]

MisinformedDNA.noreply@github.com

2429afb1390e940a0538dd6d4cebf7258e4c4ab6

f0181afd2eea9b086ce9487fb8d7fd949282140a

/perl/alignment/local_alignment.py

db92f56beb54b2cb64580db945895b78d465058e

[ "MIT" ]

permissive

linsalrob/EdwardsLab

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refs/heads/master

2023-08-20T17:13:35.466103

2023-08-17T09:17:36

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2020-09-23T12:44:44

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__author__ = 'redwards' import os from array import array from matrices import blosum62 def score(a, b): blosum = blosum62() if a in blosum and b in blosum[a]: return blosum[a][b] elif b in blosum and a in blosum[b]: return blosum[b][a] else: sys.stderr.write("Can not score amino acids " + a + " and " + b + "\n") return -8 def local_alignment(seq1, seq2, gap_open=11, gap_extn=1): """ Perform a ungapped local alignment. This approach uses 6 matrices. :param seq1: The first sequence :param seq2: The second sequence :param gap_open: The gap opening penalty (default = 11) :param gap_extn: The gap extention penalty (default = 1) :return: The score, and the two sequences with gaps in them """ ################################################ # Create Score Matrix and Helper Matrices ################################################ scorematrix = [array('i', [0 for x in xrange(0, len(seq1) + 1)]) for t in xrange(0, len(seq2) + 1)] maxhigheri = [array('i', [0 for x in xrange(0, len(seq1) + 1)]) for t in xrange(0, len(seq2) + 1)] maxhigherj = [array('i', [0 for x in xrange(0, len(seq1) + 1)]) for t in xrange(0, len(seq2) + 1)] helpermatrix = [array('i', [0 for x in xrange(0, len(seq1) + 1)]) for t in xrange(0, len(seq2) + 1)] endi = 0 endj = 0 bestscore = -1 for i in xrange(0, len(seq2)): for j in xrange(0, len(seq1)): match = scorematrix[i][j] + score(seq2[i],seq1[j]) maxhigheri[i+1][j+1] = max([maxhigheri[i+1][j] - gap_extn, scorematrix[i+1][j] - gap_open]) maxhigherj[i+1][j+1] = max([maxhigherj[i][j+1] - gap_extn, scorematrix[i][j+1] - gap_open]) maxv = max([match,maxhigheri[i+1][j+1],maxhigherj[i+1][j+1],0]) scorematrix[i+1][j+1] = maxv # how did we get here? if maxv <= 0: helpermatrix[i+1][j+1] = 4 elif maxv == match: helpermatrix[i+1][j+1] = 1 elif maxv == maxhigherj[i+1][j+1]: helpermatrix[i+1][j+1] = 2 elif maxv == maxhigheri[i+1][j+1]: helpermatrix[i+1][j+1] = 3 else: helpermatrix[i+1][j+1] = 4 newscore = scorematrix[i+1][j+1] if newscore > bestscore: bestscore = newscore endi = i+1 endj = j+1 i = endi j = endj hm = helpermatrix[i][j] while i * j != 0 and hm != 4: if hm == 1: i = i - 1 j = j - 1 elif hm == 2: i = i - 1 elif hm == 3: j = j - 1 hm = helpermatrix[i][j] print(bestscore) print(seq1[j:endj]) print(seq2[i:endi]) if __name__ == "__main__": s1 = 'ATGLVRRLGSFLVEDFSRYKLL' s2 = 'GLMRRSGSPLVESRYKLL' local_alignment(s1, s2)

[ "raedwards@gmail.com" ]

raedwards@gmail.com

9222dbde7d346213b91034145a348a5cff4cbbf6

ca7aa979e7059467e158830b76673f5b77a0f5a3

/Python_codes/p03161/s980102866.py

deba467f47fe65240ad40d992abb931cd5df9b26

[]

no_license

Aasthaengg/IBMdataset

7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901

f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8

refs/heads/main

2023-04-22T10:22:44.763102

2021-05-13T17:27:22

367,112,348

0

null

UTF-8

Python

false

319

py

if __name__ == '__main__': n,k = map(int,input().split()) h = list(map(int,input().split())) #TLE pypy INF = 10**9 dp = [INF] * (n+1) dp[0] = 0 k = min(k,n) for i in range(1,n): for j in range(1,k+1): dp[i] = min(dp[i],dp[i-j]+abs(h[i]-h[i-j])) print(dp[n-1])

[ "66529651+Aastha2104@users.noreply.github.com" ]

66529651+Aastha2104@users.noreply.github.com

b0458242d96796db2944d822cfd3c245a1bd89f5

48616fb53c96dafed001ab264f819bad38769371

/pydesica/src/plot_hist_death.py

095c91df24e3a2541de58093361d3756ab945c71

[]

no_license

mdekauwe/SE_AUS_drought_risk_paper

1ee650ba9ef553dc062223c77277f66b5cb8721b

a908e82844ea5ecf927c1039dd0059a50027be9f

refs/heads/master

2020-09-17T08:57:07.200626

2020-06-01T23:51:35

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#!/usr/bin/env python # coding: utf-8 """ Plot the pixel output That's all folks. """ __author__ = "Martin De Kauwe" __version__ = "1.0 (12.03.2018)" __email__ = "mdekauwe@gmail.com" import pandas as pd import sys import numpy as np import matplotlib.pyplot as plt import os import seaborn as sns rf = pd.read_csv("outputs/rf_trait_sensitivity_all.csv") wsf = pd.read_csv("outputs/wsf_trait_sensitivity_all.csv") dsf = pd.read_csv("outputs/dsf_trait_sensitivity_all.csv") grw = pd.read_csv("outputs/grw_trait_sensitivity_all.csv") saw = pd.read_csv("outputs/saw_trait_sensitivity_all.csv") #rf = pd.read_csv("outputs/rf_trait_sens_OAT.csv") #wsf = pd.read_csv("outputs/wsf_trait_sens_OAT.csv") #dsf = pd.read_csv("outputs/dsf_trait_sens_OAT.csv") #grw = pd.read_csv("outputs/grw_trait_sens_OAT.csv") #saw = pd.read_csv("outputs/saw_trait_sens_OAT.csv") rf = rf[rf.day_of_death > 0] wsf = wsf[wsf.day_of_death > 0] dsf = dsf[dsf.day_of_death > 0] grw = grw[grw.day_of_death > 0] saw = saw[saw.day_of_death > 0] width = 9 height = 6 fig = plt.figure(figsize=(width, height)) fig.subplots_adjust(hspace=0.13) fig.subplots_adjust(wspace=0.13) plt.rcParams['text.usetex'] = False plt.rcParams['font.family'] = "sans-serif" plt.rcParams['font.sans-serif'] = "Helvetica" plt.rcParams['axes.labelsize'] = 16 plt.rcParams['font.size'] = 16 plt.rcParams['legend.fontsize'] = 12 plt.rcParams['xtick.labelsize'] = 16 plt.rcParams['ytick.labelsize'] = 16 colours = sns.color_palette("Set2", 8) ax = fig.add_subplot(111) sns.distplot(rf.day_of_death, ax=ax, rug=False, norm_hist=True, kde_kws={"label": "RF"}, kde=True, color=colours[0]) sns.distplot(wsf.day_of_death, ax=ax, rug=False, norm_hist=True, kde_kws={"label": "WSF"}, kde=True, color=colours[1]) sns.distplot(dsf.day_of_death, ax=ax, rug=False, norm_hist=True, kde_kws={"label": "DSF"}, kde=True, color=colours[2]) ax.tick_params(direction='in', length=4) ax.set_xlabel("Day of death") ax.set_ylabel("Probability density") ax.legend(numpoints=1, ncol=1, loc="best", frameon=False) ofdir = "/Users/mdekauwe/Desktop" ofname = "day_of_death_RF_WSF_DSF.png" fig.savefig(os.path.join(ofdir, ofname), bbox_inches='tight', pad_inches=0.1, dpi=300) width = 9 height = 6 fig = plt.figure(figsize=(width, height)) fig.subplots_adjust(hspace=0.13) fig.subplots_adjust(wspace=0.13) plt.rcParams['text.usetex'] = False plt.rcParams['font.family'] = "sans-serif" plt.rcParams['font.sans-serif'] = "Helvetica" plt.rcParams['axes.labelsize'] = 16 plt.rcParams['font.size'] = 16 plt.rcParams['legend.fontsize'] = 12 plt.rcParams['xtick.labelsize'] = 16 plt.rcParams['ytick.labelsize'] = 16 colours = sns.color_palette("Set2", 8) ax = fig.add_subplot(111) sns.distplot(grw.day_of_death, ax=ax, rug=False, norm_hist=True, kde_kws={"label": "GRW"}, kde=True, color=colours[3]) sns.distplot(saw.day_of_death, ax=ax, rug=False, norm_hist=True, kde_kws={"label": "SAW"}, kde=True, color=colours[4]) ax.set_xlim(0, 600) ax.tick_params(direction='in', length=4) ax.set_xlabel("Day of death") ax.set_ylabel("Probability density") ax.legend(numpoints=1, ncol=1, loc="best", frameon=False) ofdir = "/Users/mdekauwe/Desktop" ofname = "day_of_death_GRW_SAW.png" fig.savefig(os.path.join(ofdir, ofname), bbox_inches='tight', pad_inches=0.1, dpi=300) width = 9 height = 6 fig = plt.figure(figsize=(width, height)) fig.subplots_adjust(hspace=0.13) fig.subplots_adjust(wspace=0.13) plt.rcParams['text.usetex'] = False plt.rcParams['font.family'] = "sans-serif" plt.rcParams['font.sans-serif'] = "Helvetica" plt.rcParams['axes.labelsize'] = 16 plt.rcParams['font.size'] = 16 plt.rcParams['legend.fontsize'] = 12 plt.rcParams['xtick.labelsize'] = 16 plt.rcParams['ytick.labelsize'] = 16 colours = sns.color_palette("Set2", 8) ax = fig.add_subplot(111) sns.distplot(rf.day_of_death, ax=ax, rug=False, norm_hist=True, kde_kws={"label": "RF"}, kde=True, color=colours[0]) sns.distplot(wsf.day_of_death, ax=ax, rug=False, norm_hist=True, kde_kws={"label": "WSF"}, kde=True, color=colours[1]) sns.distplot(dsf.day_of_death, ax=ax, rug=False, norm_hist=True, kde_kws={"label": "DSF"}, kde=True, color=colours[2]) sns.distplot(grw.day_of_death, ax=ax, rug=False, norm_hist=True, kde_kws={"label": "GRW"}, kde=True, color=colours[3]) sns.distplot(saw.day_of_death, ax=ax, rug=False, norm_hist=True, kde_kws={"label": "SAW"}, kde=True, color=colours[4]) #ax.set_xlim(100, 600) #ax.set_ylim(0.0, 0.005) #plt.xticks([], []) #splt.setp(ax.get_xticklabels(), visible=False) ax.tick_params(direction='in', length=4) ax.set_xlabel("Day of hydraulic failure ($\Psi$$_{\mathrm{crit}}$)", labelpad=10) ax.set_ylabel("Probability density") ax.legend(numpoints=1, ncol=1, loc="best", frameon=False) #ofdir = "/Users/mdekauwe/Desktop" ofdir = "/Users/mdekauwe/Dropbox/Drought_risk_paper/figures/figs" ofname = "day_of_death_all.pdf" fig.savefig(os.path.join(ofdir, ofname), bbox_inches='tight', pad_inches=0.1)

[ "mdekauwe@gmail.com" ]

mdekauwe@gmail.com

0ab75df4472e4622b1a049811be92712ca4fc93a

d3170930a453d7f4ab62c4637f21e8e1d74ac971

/axf/urls_order_apis.py

9833c9dbe2456599f9cc0cf30e0d0f25e7c0eb66

[]

no_license

whoareyou0401/1901axf_vue

97fd03439ef919024832348f61ea3c1f5cf2469c

4bb0fcf2000a624be294bbcfdbfc52895fedd36e

refs/heads/master

2020-05-29T19:45:36.536110

2019-05-31T02:47:41

189,338,601

1

0

null

UTF-8

Python

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187

py

from django.conf.urls import url from .order_apis import * urlpatterns = [ url(r"^order$", OrderAPI.as_view()), url(r"^confirm$", ConfirmOrder.as_view({"post":"confirm"})), ]

[ "1625211623@qq.com" ]

1625211623@qq.com

3fc13f2b5432026514c79268d90a33390a6b94bb

f949cf76d051abb911be3e3adbfe777aa6f9fc95

/code1/analysis/loadFactor_vs_collision_test_speed.py

2764cb51d46d32ff4500dd5c9ad782dc7db8ac44

[]

no_license

xeniaqian94/11711-Algorithm-for-NLP

ae8137849654ccdd77b2da059a955eeecc71e76f

f63743ecb937231835ea394a8ad64d876346f802

refs/heads/master

2021-01-23T23:12:21.073989

2017-11-12T21:31:17

102,955,520

1

0

null

UTF-8

Python

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py

import sys import re import matplotlib.pyplot as plt # python loadFactor_vs_collision_test_speed.py ../loadFactor_log ../plot/loadFactor_vs_collision_test_speed f=open(sys.argv[1],"r") loadFactor=[] testTime=[] ratio_bigram=[] ratio_trigram=[] prev_line="" for line in f.readlines(): if (re.match(r"^load factor ([\.0-9]+)",line)): loadFactor+=[float(re.match(r"^load factor ([\.0-9]+)",line).group(1))] if (re.match(r"^Decoding took ([\.0-9]+)s",line)): # Building took 160.537s testTime+=[float(re.match(r"^Decoding took ([\.0-9]+)s",line).group(1))] # class edu.berkeley.nlp.assignments.assign1.student.longIntOpenHashMapBigram num_collision 266264368 num_access 332076077 ratio 0.8018173739145925 if (re.match(r".*longIntOpenHashMapBigram .*ratio ([\.0-9]+)",line)): ratio_bigram+=[float(re.match(r".*longIntOpenHashMapBigram.*ratio ([\.0-9]+)",line).group(1))] if (re.match(r".*longIntOpenHashMap .*ratio ([\.0-9]+)",line)): ratio_trigram+=[float(re.match(r".*longIntOpenHashMap .*ratio ([\.0-9]+)",line).group(1))] print len(loadFactor),len(testTime),len(ratio_bigram),len(ratio_trigram) assert len(loadFactor)==len(testTime)==len(ratio_bigram)==len(ratio_trigram) testTime=[x for _,x in sorted(zip(loadFactor,testTime))] ratio_bigram=[x for _,x in sorted(zip(loadFactor,ratio_bigram))] ratio_trigram=[x for _,x in sorted(zip(loadFactor,ratio_trigram))] fig, ax1 = plt.subplots() ax1.plot(loadFactor, testTime, 'b.-') ax1.set_xlabel('Load Factor') # Make the y-axis label, ticks and tick labels match the line color. ax1.set_ylabel('LM Decode Time (s)',color='b') ax1.tick_params('y', colors='b') ax2 = ax1.twinx() ax2.plot(loadFactor,ratio_bigram, 'r^--',label="Bigram") ax2.plot(loadFactor,ratio_trigram,'m*-',label="Trigram") ax2.plot(loadFactor,loadFactor,"g-") ax2.set_ylabel('Ratio = # collision / # access',color='r') ax2.tick_params('y', colors='r') ax1.grid() ax2.grid() handles, labels = ax2.get_legend_handles_labels() ax2.legend(handles, labels) fig.tight_layout() plt.savefig(sys.argv[2]) plt.show() # fig=plt.figure() # ax=fig.add_subplot(111) # ax.set_xlabel("training size") # ax.set_ylabel("perplexity") # ax.grid() # ax.plot(training_size,perplexity,"b.-") # plt.savefig(sys.argv[2]) # plt.show()

[ "xeniaqian94@gmail.com" ]

xeniaqian94@gmail.com

aacab90637ea6957ea3d6e2c1ea9b511bf075c02

15f321878face2af9317363c5f6de1e5ddd9b749

/solutions_python/Problem_116/2510.py

337278eb13b6bb47614cb3a25617d675dc147176

[]

no_license

dr-dos-ok/Code_Jam_Webscraper

c06fd59870842664cd79c41eb460a09553e1c80a

26a35bf114a3aa30fc4c677ef069d95f41665cc0

refs/heads/master

2020-04-06T08:17:40.938460

2018-10-14T10:12:47

null

0

null

UTF-8

Python

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py

class TicTac(): blen=range(4) def __init__(self,inBoardStr): self.board=[] for (crow,cline) in zip(self.blen,inBoardStr.split('\n')): cbline=[clet.upper() for (ccol,clet) in zip(self.blen,cline)] self.board+=[cbline] def checkwin(self): if self.checkvic('X'): return 'X won' if self.checkvic('O'): return 'O won' if self.notfinished(): return 'Game has not completed' else: return 'Draw' def notfinished(self): isEmpty=lambda x: x=='.' return any(map(lambda cline: any(map(isEmpty,cline)),self.board)) def checkvic(self,val): if any(map(lambda i: self.checkvicr(val,i),self.blen)): return True if any(map(lambda i: self.checkvicc(val,i),self.blen)): return True if any(self.checkvicd(val)): return True return False def checkvicr(self,val,i): isFull=lambda x: (x==val) | (x=='T') oVals=map(isFull,self.board[i]) print ('r',val,i,oVals) return all(oVals) def checkvicc(self,val,i): isFull=lambda x: (x==val) | (x=='T') oVals=map(lambda cline: isFull(cline[i]),self.board) print ('c',val,i,oVals) return all(oVals) def checkvicd(self,val): isFull=lambda x: (x==val) | (x=='T') diagA=zip(self.blen,self.blen) diagB=zip(self.blen[::-1],self.blen) checkVals=lambda diag: all(map(lambda cc: isFull(self.board[cc[0]][cc[1]]),diag)) oVals=map(checkVals,[diagA,diagB]) print (val,oVals) return oVals def __str__(self): return str(self.board) f=open('/mnt/sdcard/Download/A-large.in','r') bds=int(f.readline()) oList=[] for i in range(bds): cboard=map(lambda x: f.readline(),range(4)) f.readline() oList+=[TicTac(''.join(cboard))] f.close() winList=map(lambda x: x.checkwin(),oList) f=open('/mnt/sdcard/Download/tictacout5.txt','w') for (caseN,status) in enumerate(winList): f.write('Case #%i: %s\n' % (caseN+1,status)) f.close() #b=TicTac('..XO\nX.TX\n.O.T\nOXXO') #print b.checkwin()

[ "miliar1732@gmail.com" ]

miliar1732@gmail.com

35fa7fe8cb27b270e1efe832507fc58db96eee12

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/Week7Python/Week7/randomAverageSumMaxMin.py

8c0c8ac3b260f0158a0d860e0aaeec63863337ca

[]

no_license

quangdbui9999/CS-171

24ca7f7f27847c7b729d74b2c85abc0464cd8c1a

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refs/heads/master

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def main(): fileName = "randomNumber.txt" file = open(fileName, "r") getSum = 0 average = 0 maxNumber = -1 minNumber = 1000 for i in range(0, 1000): line = file.readline() number = int(line) getSum += number if(number < minNumber): minNumber = number if(number > maxNumber): maxNumber = number average = float(getSum / 1000) print("Average is: " + str(average)) print("Max number is : " + str(maxNumber)) print("Min number is : " + str(minNumber)) file.close() main()

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quangdbui9999.noreply@github.com

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/students/1808084/homework01/program02.py

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Fondamenti18/fondamenti-di-programmazione

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refs/heads/master

2020-03-24T03:25:58.222060

2018-08-01T17:52:06

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# -*- coding: utf-8 -*- """ Created on Thu Oct 19 17:55:21 2017 @author: Lorenzo """ ''' In determinate occasioni ci capita di dover scrivere i numeri in lettere, ad esempio quando dobbiamo compilare un assegno. Puo' capitare che alcuni numeri facciano sorgere in noi qualche dubbio. Le perplessita' nascono soprattutto nella scrittura dei numeri composti con 1 e 8. Tutti i numeri come venti, trenta, quaranta, cinquanta, ecc... elidono la vocale finale (la "i" per 20, la "a" per tutti gli altri) fondendola con la vocale iniziale del numero successivo; scriveremo quindi ventuno, ventotto, trentotto, cinquantuno ecc... Il numero cento, nella formazione dei numeri composti con uno e otto, non si comporta cosi'; il numero "cento" e tutte le centinaia (duecento, trecento, ecc...), infatti, non elidono la vocale finale. Dunque non scriveremo centuno, trecentotto ma centouno, trecentootto, ecc... I numeri composti dalle centinaia e dalla decina "ottanta" invece tornano ad elidere la vocale finale; scriveremo quindi centottanta, duecentottanta, ecc..., non centoottanta, duecentoottanta, ... Il numero "mille" non elide in nessun numero composto la vocale finale; scriveremo quindi milleuno, milleotto, milleottanta, ecc... Altri esempi sono elencati nel file grade02.txt Scrivere una funzione conv(n) che prende in input un intero n, con 0<n<1000000000000, e restituisce in output una stringa con il numero espresso in lettere ATTENZIONE: NON USATE LETTERE ACCENTATE. ATTENZIONE: Se il grader non termina entro 30 secondi il punteggio dell'esercizio e' zero. ''' def conv(j): if j==0: return '' elif j<=19: return ('uno', 'due', 'tre', 'quattro', 'cinque', 'sei', 'sette', 'otto', 'nove', 'dieci', 'undici', 'dodici', 'tredici', 'quattordici', 'quindici', 'sedici', 'diciassette', 'diciotto', 'diciannove')[j-1] elif j<=99: decine=('venti', 'trenta','quaranta','cinquanta','sessanta','settanta','ottanta','novanta') letter=decine[int(j/10)-2] z=j%10 if z==1 or z==8: letter=letter[:-1] return letter + conv(j%10) elif j<=199: return 'cento'+conv(j%100) elif j<=999: m=j%100 m=int(m/10) letter='cent' if m!=8: letter=letter+'o' return conv(int(j/100))+ letter+ conv(j%100) elif j<=1999: return 'mille'+conv(j%1000) elif j<=999999: return conv(int(j/1000))+'mila'+conv(j%1000) elif j<=1999999: return 'unmilione'+conv(int(j%1000000)) elif j<=999999999: return conv(int(j/1000000))+'milioni'+conv(j%1000000) elif j<=1999999999: return 'unmiliardo'+ conv(j%1000000000) else: return conv(int(j/1000000000))+'miliardi'+conv(j%1000000000)

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a.sterbini@gmail.com

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/pipeline/0x02-databases/33-schools_by_topic.py

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#!/usr/bin/env python3 """ Where can I learn Python? """ def schools_by_topic(mongo_collection, topic): """ Function that returns the list of school having a specific topic """ return list(mongo_collection.find({"topics": {"$all": [topic]}}))

[ "linkjavier@hotmail.com" ]

linkjavier@hotmail.com

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/Users/E/elie222/fantasy_football_-_premierleaguecom_cleaner_versio.py

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BerilBBJ/scraperwiki-scraper-vault

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2021-12-02T23:55:58.481210

2013-09-30T17:02:59

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import scraperwiki import json from datetime import date for i in range(1,1000): try: jsonPage = scraperwiki.scrape('http://fantasy.premierleague.com/web/api/elements/%d/'%(i)) playerObj = json.loads(jsonPage) data = {} data["code"] = playerObj["code"] data["transfers_balance"] = playerObj["transfers_balance"] data["news_updated"] = playerObj["news_updated"] data["news_added"] = playerObj["news_added"] data["web_name"] = playerObj["web_name"] data["in_dreamteam"] = playerObj["in_dreamteam"] data["id"] = playerObj["id"] data["first_name"] = playerObj["first_name"] data["transfers_out_event"] = playerObj["transfers_out_event"] data["selected"] = playerObj["selected"] data["total_points"] = playerObj["total_points"] data["type_name"] = playerObj["type_name"] data["team_name"] = playerObj["team_name"] data["status"] = playerObj["status"] data["added"] = playerObj["added"] data["now_cost"] = playerObj["now_cost"] data["transfers_in"] = playerObj["transfers_in"] data["news"] = playerObj["news"] data["news_return"] = playerObj["news_return"] data["transfers_in_event"] = playerObj["transfers_in_event"] data["selected_by"] = playerObj["selected_by"] data["second_name"] = playerObj["second_name"] data["date_downloaded"] = date.today() scraperwiki.sqlite.save(unique_keys=["id", "date_downloaded"], data=data) except: print 'Stopped at %d'%(i) breakimport scraperwiki import json from datetime import date for i in range(1,1000): try: jsonPage = scraperwiki.scrape('http://fantasy.premierleague.com/web/api/elements/%d/'%(i)) playerObj = json.loads(jsonPage) data = {} data["code"] = playerObj["code"] data["transfers_balance"] = playerObj["transfers_balance"] data["news_updated"] = playerObj["news_updated"] data["news_added"] = playerObj["news_added"] data["web_name"] = playerObj["web_name"] data["in_dreamteam"] = playerObj["in_dreamteam"] data["id"] = playerObj["id"] data["first_name"] = playerObj["first_name"] data["transfers_out_event"] = playerObj["transfers_out_event"] data["selected"] = playerObj["selected"] data["total_points"] = playerObj["total_points"] data["type_name"] = playerObj["type_name"] data["team_name"] = playerObj["team_name"] data["status"] = playerObj["status"] data["added"] = playerObj["added"] data["now_cost"] = playerObj["now_cost"] data["transfers_in"] = playerObj["transfers_in"] data["news"] = playerObj["news"] data["news_return"] = playerObj["news_return"] data["transfers_in_event"] = playerObj["transfers_in_event"] data["selected_by"] = playerObj["selected_by"] data["second_name"] = playerObj["second_name"] data["date_downloaded"] = date.today() scraperwiki.sqlite.save(unique_keys=["id", "date_downloaded"], data=data) except: print 'Stopped at %d'%(i) break

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pallih@kaninka.net

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import numpy as np import sklearn from sklearn.metrics import f1_score def macroF1(trueY, predY): # trueY and predY should be (nExamples, nLabels) predY_bin = (predY >= 0.5).astype(np.int) trueY_bin = trueY.astype(np.int) # The transpose is here because sklearn's f1_score expects multi-label # data to be formatted as (nLabels, nExamples). return f1_score(trueY_bin.T, predY_bin.T, average='macro', pos_label=None)

[ "bamos@cs.cmu.edu" ]

bamos@cs.cmu.edu

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/inorder-successor-in-bst/inorder-successor-in-bst.py

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2023-08-22T06:59:43.141131

2021-10-16T14:04:32

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// https://leetcode.com/problems/inorder-successor-in-bst # Definition for a binary tree node. # class TreeNode(object): # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution(object): def inorder_successor(self, root, p , found): node = None if root: found, node = self.inorder_successor(root.left, p, found) if node: return True, node if found: return True, root elif root == p: found = True found, node = self.inorder_successor(root.right, p, found) return found, node def inorderSuccessor(self, root, p): """ :type root: TreeNode :type p: TreeNode :rtype: TreeNode """ found, node = self.inorder_successor(root, p, False) return node

[ "keshava.gowda@gmail.com" ]

keshava.gowda@gmail.com

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/xai/brain/wordbase/otherforms/_blarneying.py

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2021-01-19T12:33:54.964379

2017-01-28T02:00:50

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#calss header class _BLARNEYING(): def __init__(self,): self.name = "BLARNEYING" self.definitions = blarney self.parents = [] self.childen = [] self.properties = [] self.jsondata = {} self.basic = ['blarney']

[ "xingwang1991@gmail.com" ]

xingwang1991@gmail.com

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/day6/session_6.1.py

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RainMoun/python_programming_camp

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refs/heads/master

2020-04-15T11:27:09.680587

2019-04-06T02:21:14

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menu_university = { '浙江': { '杭州': { '下沙区': { '杭州电子科技大学': {}, '浙江工商大学': {}, '浙江理工大学': {} }, '西湖区': { '浙江大学': {}, }, }, '宁波': { '江北区': { '宁波大学': {} }, '鄞州区': { "宁波诺丁汉大学": {} } } } } sign_exit = False while not sign_exit: menu = menu_university for key in menu.keys(): print(key) choose_first = input("第一层：").strip() if choose_first == 'b': break elif choose_first == 'exit': sign_exit = True break elif choose_first in menu: pass else: continue while not sign_exit: menu_2 = menu[choose_first] for key in menu_2.keys(): print(key) choose_second = input("第二层：").strip() if choose_second == 'b': break elif choose_second == 'exit': sign_exit = True break elif choose_second in menu_2: pass else: continue while not sign_exit: menu_3 = menu_2[choose_second] for key in menu_3.keys(): print(key) choose_third = input("第三层：").strip() if choose_third == 'b': break elif choose_third == 'exit': sign_exit = True break elif choose_third in menu_3: pass else: continue while not sign_exit: menu_4 = menu_3[choose_third] for key in menu_4.keys(): print(key) choose_forth = input("第四层：").strip() if choose_forth == 'b': break elif choose_forth == 'exit': sign_exit = True break else: pass

[ "775653143@qq.com" ]

775653143@qq.com

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/2_Tuples_and_sets/11. Longest Intersection.py

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[]

no_license

GalyaBorislavova/SoftUni_Python_Advanced_May_2021

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refs/heads/main

2023-06-14T22:00:21.904387

2021-07-07T06:15:08

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def input_to_list(count): lines = [] for _ in range(count): line = input() if " " in line: data = line.split() for el in data: lines.append(el) else: lines.append(line) return lines n = int(input()) input_sequences = input_to_list(n) longest_intersection = set() max_len_intersection = 0 for i in input_sequences: range_first_set, range_second_set = i.split("-") start_first_set, end_first_set = range_first_set.split(",") start_second_set, end_second_set = range_second_set.split(",") current_first_set = set(num for num in range(int(start_first_set), int(end_first_set) + 1)) current_second_set = set(num for num in range(int(start_second_set), int(end_second_set) + 1)) intersection = current_first_set.intersection(current_second_set) if len(intersection) > max_len_intersection: longest_intersection = intersection max_len_intersection = len(intersection) print(f"Longest intersection is {[*longest_intersection]} with length {max_len_intersection}")

[ "galyaborislavova888@gmail.com" ]

galyaborislavova888@gmail.com

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simpuid/cvbuilder

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2023-01-01T08:13:55.755812

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from db import execute, fetch class Skill: def __init__(self, uid: int, skill_list: list): self.id = uid self.skill_list = skill_list def update(self, index, skill_name): if skill_name != self.skill_list[index]: self.delete(index) self.add(skill_name) def delete(self, index): execute('DELETE FROM skill_table WHERE student_id = %s AND skill_name = %s', (self.id, self.skill_list[index])) def add(self, skill_name): execute("""INSERT INTO skill_table VALUES (%s, %s) ON DUPLICATE KEY UPDATE student_id = VALUES(student_id), skill_name = VALUES(skill_name)""", (self.id, skill_name)) @staticmethod def load(uid: int): execute('SELECT * FROM skill_table WHERE student_id = %s', (uid,)) data = fetch() if len(data) == 0: return Skill(uid, []) skill_list = [entry['skill_name'] for entry in data] return Skill(uid, skill_list)

[ "prathameshkatkar11@gmail.com" ]

prathameshkatkar11@gmail.com

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/src/util/main.py

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refs/heads/master

2020-05-23T06:20:10.831035

2020-02-12T16:31:38

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MAIN = "__main__" def main(name=None): def main_wrapper(prog): if name == MAIN: import sys args = dict([d.split("=") for d in sys.argv[1:]]) prog(**args) return prog if callable(name): prog = name name = MAIN return main_wrapper(prog) else: return main_wrapper

[ "ychnlgy@gmail.com" ]

ychnlgy@gmail.com

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/aliyun-python-sdk-emr/aliyunsdkemr/request/v20160408/GetAuditLogsRequest.py

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2020-09-25T12:10:14.245354

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2019-12-05T02:50:34

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UTF-8

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# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # # http://www.apache.org/licenses/LICENSE-2.0 # # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. from aliyunsdkcore.request import RpcRequest from aliyunsdkemr.endpoint import endpoint_data class GetAuditLogsRequest(RpcRequest): def __init__(self): RpcRequest.__init__(self, 'Emr', '2016-04-08', 'GetAuditLogs','emr') if hasattr(self, "endpoint_map"): setattr(self, "endpoint_map", endpoint_data.getEndpointMap()) if hasattr(self, "endpoint_regional"): setattr(self, "endpoint_regional", endpoint_data.getEndpointRegional()) def get_ResourceOwnerId(self): return self.get_query_params().get('ResourceOwnerId') def set_ResourceOwnerId(self,ResourceOwnerId): self.add_query_param('ResourceOwnerId',ResourceOwnerId) def get_PageCount(self): return self.get_query_params().get('PageCount') def set_PageCount(self,PageCount): self.add_query_param('PageCount',PageCount) def get_OrderMode(self): return self.get_query_params().get('OrderMode') def set_OrderMode(self,OrderMode): self.add_query_param('OrderMode',OrderMode) def get_EntityId(self): return self.get_query_params().get('EntityId') def set_EntityId(self,EntityId): self.add_query_param('EntityId',EntityId) def get_PageNumber(self): return self.get_query_params().get('PageNumber') def set_PageNumber(self,PageNumber): self.add_query_param('PageNumber',PageNumber) def get_Limit(self): return self.get_query_params().get('Limit') def set_Limit(self,Limit): self.add_query_param('Limit',Limit) def get_PageSize(self): return self.get_query_params().get('PageSize') def set_PageSize(self,PageSize): self.add_query_param('PageSize',PageSize) def get_CurrentSize(self): return self.get_query_params().get('CurrentSize') def set_CurrentSize(self,CurrentSize): self.add_query_param('CurrentSize',CurrentSize) def get_OrderField(self): return self.get_query_params().get('OrderField') def set_OrderField(self,OrderField): self.add_query_param('OrderField',OrderField) def get_Operation(self): return self.get_query_params().get('Operation') def set_Operation(self,Operation): self.add_query_param('Operation',Operation)

[ "sdk-team@alibabacloud.com" ]

sdk-team@alibabacloud.com

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/tests/test_fight.py

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[]

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astoeff/clean-code-course-project

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2022-11-19T05:04:20.992189

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import unittest from main.models.hero import Hero from main.models.enemy import Enemy from main.fight import Fight from main.treasures.weapon import Weapon from main.constants import (FIGHT_INITIAL_INFORMATION_PART, FIGHT_HERO_CANNOT_ATTACK_INFORMATION_PART, FIGHT_HERO_ATTACK_INFORMATION_PART, DEFAULT_WEAPON_NAME, DEFAULT_WEAPON_DAMAGE, FIGHT_ENEMY_CANNOT_ATTACK_INFORMATION_PART, FIGHT_ENEMY_ATTACK_INFORMATION_PART) class TestFight(unittest.TestCase): #__init__() def test_with_given_correct_arguments_should_initialise_correctly(self): hero = Hero('hero', 'bravest', 100, 100, 2) enemy = Enemy() fight = Fight(hero, enemy) expected_hero = hero expected_enemy = enemy expected_distance = 0 expected_direction = 0 expected_information_parts = [FIGHT_INITIAL_INFORMATION_PART + str(enemy)] self.assertEqual(expected_hero, fight.hero) self.assertEqual(expected_enemy, fight.enemy) self.assertEqual(expected_distance, fight.distance) self.assertEqual(expected_direction, fight.direction) self.assertEqual(expected_information_parts, fight.information_parts) #hero_attack() def test_when_hero_can_not_attack_should_set_correct_information_part_and_enemy_takes_zero_damage(self): hero = Hero('hero', 'bravest', 100, 100, 2) enemy = Enemy() enemy_health_before_attack = enemy.health fight = Fight(hero, enemy) fight.hero_attack() result_information_parts = fight.information_parts expected_information_parts = [FIGHT_INITIAL_INFORMATION_PART + str(enemy), FIGHT_HERO_CANNOT_ATTACK_INFORMATION_PART] self.assertEqual(enemy_health_before_attack, enemy.health) self.assertEqual(expected_information_parts, result_information_parts) def test_when_hero_can_attack_should_set_correct_information_part_and_enemy_takes_damage_from_attack(self): hero = Hero('hero', 'bravest', 100, 100, 2) default_weapon = Weapon(name=DEFAULT_WEAPON_NAME, damage=DEFAULT_WEAPON_DAMAGE) hero.equip(default_weapon) enemy = Enemy() initial_enemy_as_string = str(enemy) enemy_health_before_attack = enemy.health fight = Fight(hero, enemy) fight.hero_attack() result_enemy_health = fight.enemy.health expected_enemy_health = enemy_health_before_attack - default_weapon.damage result_information_parts = fight.information_parts expected_information_parts = [FIGHT_INITIAL_INFORMATION_PART + initial_enemy_as_string, FIGHT_HERO_ATTACK_INFORMATION_PART + str(default_weapon.damage)] self.assertEqual(expected_enemy_health, result_enemy_health) self.assertEqual(expected_information_parts, result_information_parts) #enemy_attack() def test_when_enemy_can_not_attack_should_set_correct_information_part_and_hero_takes_zero_damage(self): hero = Hero('hero', 'bravest', 100, 100, 2) enemy = Enemy() enemy.damage = 0 fight = Fight(hero, enemy) hero_health_before_attack = hero.health fight.enemy_attack() result_information_parts = fight.information_parts expected_information_parts = [FIGHT_INITIAL_INFORMATION_PART + str(enemy), FIGHT_ENEMY_CANNOT_ATTACK_INFORMATION_PART] self.assertEqual(hero_health_before_attack, hero.health) self.assertEqual(expected_information_parts, result_information_parts) def test_when_enemy_can_attack_should_set_correct_information_part_and_hero_takes_damage_from_attack(self): hero = Hero('hero', 'bravest', 100, 100, 2) enemy = Enemy() fight = Fight(hero, enemy) hero_health_before_attack = hero.health fight.enemy_attack() result_hero_health = fight.hero.health expected_hero_health = hero_health_before_attack - enemy.damage result_information_parts = fight.information_parts expected_information_parts = [FIGHT_INITIAL_INFORMATION_PART + str(enemy), FIGHT_ENEMY_ATTACK_INFORMATION_PART + str(enemy.damage)] self.assertEqual(expected_hero_health, result_hero_health) self.assertEqual(expected_information_parts, result_information_parts) #execute() def test_with_hero_that_can_not_attack_should_stop_when_hero_is_dead(self): hero = Hero('hero', 'bravest', 100, 100, 2) enemy = Enemy() enemy.damage = hero.health fight = Fight(hero, enemy) fight.execute() result_hero_alive_status = hero.is_alive() expected_hero_alive_status = False result_enemy_alive_status = enemy.is_alive() expected_enemy_alive_status = True result_information_parts = fight.information_parts expected_information_parts = [FIGHT_INITIAL_INFORMATION_PART + str(enemy), FIGHT_HERO_CANNOT_ATTACK_INFORMATION_PART, FIGHT_ENEMY_ATTACK_INFORMATION_PART + str(enemy.damage)] self.assertEqual(expected_hero_alive_status, result_hero_alive_status) self.assertEqual(expected_enemy_alive_status, result_enemy_alive_status) self.assertEqual(expected_information_parts, result_information_parts) def test_with_hero_that_can_attack_and_enemy_that_can_not_should_stop_when_enemy_is_dead(self): hero = Hero('hero', 'bravest', 100, 100, 2) enemy = Enemy() weapon = Weapon(name=DEFAULT_WEAPON_NAME, damage=enemy.health) hero.equip(weapon) fight = Fight(hero, enemy) initial_enemy_as_string = str(enemy) fight.execute() result_hero_alive_status = hero.is_alive() expected_hero_alive_status = True result_enemy_alive_status = enemy.is_alive() expected_enemy_alive_status = False result_information_parts = fight.information_parts expected_information_parts = [FIGHT_INITIAL_INFORMATION_PART + initial_enemy_as_string, FIGHT_HERO_ATTACK_INFORMATION_PART + str(weapon.damage)] self.assertEqual(expected_hero_alive_status, result_hero_alive_status) self.assertEqual(expected_enemy_alive_status, result_enemy_alive_status) self.assertEqual(expected_information_parts, result_information_parts)

[ "antoni.1998@abv.bg" ]

antoni.1998@abv.bg

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/dockers/mvcnn2/Model.py

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[]

no_license

BlenderCN-Org/diplomka

8d0503fc5902dfede8317aed84f5a17f691f687f

575fe3f2436b9c511496c1dc019d9cc3423ba5f0

refs/heads/master

2020-05-22T15:42:00.143738

2019-05-07T07:37:46

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py

import torch import torch.nn as nn import os import glob class Model(nn.Module): def __init__(self, name): super(Model, self).__init__() self.name = name def save(self, file): torch.save(self.state_dict(), file) def save_results(self, path, data): raise NotImplementedError("Model subclass must implement this method.") def load(self, file): if not os.path.exists(file): raise IOError("File {} does not exist!".format(file)) self.load_state_dict(torch.load(file))

[ "miroslavkrabec@seznam.cz" ]

miroslavkrabec@seznam.cz

d0c3a1f5eb693cf578a1067dd019d36cfe2056e1

b7b243902150a1aa5b774523ac01d7016de13477

/cyc/math/628.py

aff725b4b44ac4e418c1fa95533e1c5c2ce2506c

[]

no_license

Veraph/LeetCode_Practice

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eafadd711f6ec1b60d78442280f1c44b6296209d

refs/heads/master

2023-03-23T11:49:19.046474

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# 628.py -- Maximum Product of Three Numbers ''' Given an integer array, find three numbers whose product is maximum and output the maximum product. ''' def maximumProduct(nums): ''' read the description carefully. be careful about the negative nums. ''' nums.sort(reverse=True) # two situations, find the bigger one ans1 = nums[0] * nums[1] * nums[2] ans2 = nums[0] * nums[-1] * nums[-2] return max(ans1, ans2)

[ "jmw3531@live.com" ]

jmw3531@live.com

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refs/heads/master

2022-04-12T08:52:30.442765

2020-04-08T19:21:54

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MIT

2020-05-08T08:37:15

2020-05-08T08:37:14

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from flask import Flask, render_template # from flask_jwt_extended import JWTManager from flask_sqlalchemy import SQLAlchemy from twilio.rest import Client from flask_migrate import Migrate import os STATIC_FOLDER = "../client/build/static" TEMPLATE_FOLDER = "../client/build" CONFIG_FILE = "./config.py" CONFIG_EXAMPLE = "server/config.example" def load_from_env(app, *args): for a in args: app.config[a] = os.environ[a] def load_models(): """ Load all database models and create tables """ from server.models import User # noqa from server.models import Location # noqa db.create_all() def load_blueprints(): """ Load all blueprints for app """ from server.user.views import user_bp from server.location.views import location_bp from server.datapull.views import datapull_bp from server.sms.views import sms_bp app.register_blueprint(user_bp, url_prefix="/api/user") app.register_blueprint(location_bp, url_prefix="/api/location") app.register_blueprint(datapull_bp, url_prefix="/api/datapull") app.register_blueprint(sms_bp, url_prefix="/api/sms") def setup_default_routes(): """ Set up default routes for app """ @app.errorhandler(404) def default(error): return render_template("index.html") def setup_debug(): """ Set up debug settings """ from flask_cors import CORS app.config["JWT_COOKIE_CSRF_PROTECT"] = False CORS(app, origins=[app.config["FRONTEND_URL"]], supports_credentials=True) def setup_jwt(): """ Set up JWT for app """ app.config["JWT_TOKEN_LOCATION"] = ["cookies"] app.config["JWT_REFRESH_COOKIE_PATH"] = "/api/auth/token/refresh" def create_app(): """ Creates flask app, setting up database and blueprints """ global app global db global jwt global twilio_client global migrate # Set up and configure app app = Flask(__name__, static_folder=STATIC_FOLDER, template_folder=TEMPLATE_FOLDER) try: app.config.from_pyfile(CONFIG_FILE) print("Loading secret configs from file") except FileNotFoundError as e: env_vars = [line.split("=")[0] for line in open(CONFIG_EXAMPLE, "r")] load_from_env(app, *env_vars) print("Loading secret configs from env") if app.config["DEBUG"]: setup_debug() # Set up database db = SQLAlchemy(app) load_models() # Set up Flask Migrations migrate = Migrate(app, db) # Set up Twilio twilio_client = Client(app.config["TWILIO_SID"], app.config["TWILIO_AUTH_TOKEN"]) # Setup routes and bps setup_default_routes() load_blueprints() # Set up JWT for app # setup_jwt() # jwt = JWTManager(app) return app """ TODO: - Self-reporting feature for sms - Domain name - Manifest stuff """

[ "justinyu1618@gmail.com" ]

justinyu1618@gmail.com

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[ "Apache-2.0" ]

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easyopsapis/easyops-api-python

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adf6e3bad33fa6266b5fa0a449dd4ac42f8447d0

refs/heads/master

2020-06-26T23:38:27.308803

2020-06-16T07:25:41

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# @generated by generate_proto_mypy_stubs.py. Do not edit! import sys from google.protobuf.descriptor import ( Descriptor as google___protobuf___descriptor___Descriptor, ) from google.protobuf.internal.containers import ( RepeatedCompositeFieldContainer as google___protobuf___internal___containers___RepeatedCompositeFieldContainer, ) from google.protobuf.message import ( Message as google___protobuf___message___Message, ) from google.protobuf.struct_pb2 import ( Struct as google___protobuf___struct_pb2___Struct, ) from typing import ( Iterable as typing___Iterable, Optional as typing___Optional, Text as typing___Text, Union as typing___Union, ) from typing_extensions import ( Literal as typing_extensions___Literal, ) builtin___bool = bool builtin___bytes = bytes builtin___float = float builtin___int = int if sys.version_info < (3,): builtin___buffer = buffer builtin___unicode = unicode class GetInstancesRequest(google___protobuf___message___Message): DESCRIPTOR: google___protobuf___descriptor___Descriptor = ... objectId = ... # type: typing___Text instanceIds = ... # type: typing___Text page = ... # type: builtin___int pageSize = ... # type: builtin___int @property def query(self) -> google___protobuf___struct_pb2___Struct: ... def __init__(self, *, objectId : typing___Optional[typing___Text] = None, instanceIds : typing___Optional[typing___Text] = None, page : typing___Optional[builtin___int] = None, pageSize : typing___Optional[builtin___int] = None, query : typing___Optional[google___protobuf___struct_pb2___Struct] = None, ) -> None: ... if sys.version_info >= (3,): @classmethod def FromString(cls, s: builtin___bytes) -> GetInstancesRequest: ... else: @classmethod def FromString(cls, s: typing___Union[builtin___bytes, builtin___buffer, builtin___unicode]) -> GetInstancesRequest: ... def MergeFrom(self, other_msg: google___protobuf___message___Message) -> None: ... def CopyFrom(self, other_msg: google___protobuf___message___Message) -> None: ... def HasField(self, field_name: typing_extensions___Literal[u"query",b"query"]) -> builtin___bool: ... def ClearField(self, field_name: typing_extensions___Literal[u"instanceIds",b"instanceIds",u"objectId",b"objectId",u"page",b"page",u"pageSize",b"pageSize",u"query",b"query"]) -> None: ... class GetInstancesResponse(google___protobuf___message___Message): DESCRIPTOR: google___protobuf___descriptor___Descriptor = ... page = ... # type: builtin___int pageSize = ... # type: builtin___int total = ... # type: builtin___int @property def list(self) -> google___protobuf___internal___containers___RepeatedCompositeFieldContainer[google___protobuf___struct_pb2___Struct]: ... def __init__(self, *, page : typing___Optional[builtin___int] = None, pageSize : typing___Optional[builtin___int] = None, total : typing___Optional[builtin___int] = None, list : typing___Optional[typing___Iterable[google___protobuf___struct_pb2___Struct]] = None, ) -> None: ... if sys.version_info >= (3,): @classmethod def FromString(cls, s: builtin___bytes) -> GetInstancesResponse: ... else: @classmethod def FromString(cls, s: typing___Union[builtin___bytes, builtin___buffer, builtin___unicode]) -> GetInstancesResponse: ... def MergeFrom(self, other_msg: google___protobuf___message___Message) -> None: ... def CopyFrom(self, other_msg: google___protobuf___message___Message) -> None: ... def ClearField(self, field_name: typing_extensions___Literal[u"list",b"list",u"page",b"page",u"pageSize",b"pageSize",u"total",b"total"]) -> None: ... class GetInstancesResponseWrapper(google___protobuf___message___Message): DESCRIPTOR: google___protobuf___descriptor___Descriptor = ... code = ... # type: builtin___int codeExplain = ... # type: typing___Text error = ... # type: typing___Text @property def data(self) -> GetInstancesResponse: ... def __init__(self, *, code : typing___Optional[builtin___int] = None, codeExplain : typing___Optional[typing___Text] = None, error : typing___Optional[typing___Text] = None, data : typing___Optional[GetInstancesResponse] = None, ) -> None: ... if sys.version_info >= (3,): @classmethod def FromString(cls, s: builtin___bytes) -> GetInstancesResponseWrapper: ... else: @classmethod def FromString(cls, s: typing___Union[builtin___bytes, builtin___buffer, builtin___unicode]) -> GetInstancesResponseWrapper: ... def MergeFrom(self, other_msg: google___protobuf___message___Message) -> None: ... def CopyFrom(self, other_msg: google___protobuf___message___Message) -> None: ... def HasField(self, field_name: typing_extensions___Literal[u"data",b"data"]) -> builtin___bool: ... def ClearField(self, field_name: typing_extensions___Literal[u"code",b"code",u"codeExplain",b"codeExplain",u"data",b"data",u"error",b"error"]) -> None: ...

[ "service@easyops.cn" ]

service@easyops.cn

bb7bb7ba73a4dbedb7c358b976265b17ddd63cf5

249ae31366937f62e048f0fb858028432a2ec769

/apple-and-orange.py

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[]

no_license

Mayurg6832/HackerRank-Problem-solving

198dccade1c79a5573362f8d656d447910ff1053

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refs/heads/master

2022-10-12T22:36:29.500145

2020-06-10T09:18:49

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0

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false

401

py

s,t=map(int,input().split()) a,b=map(int,input().split()) m,n=map(int,input().split()) apple=list(map(int,input().split())) orange=list(map(int,input().split())) countA=0 countO=0 for i in range(len(apple)): temp=a+apple[i] if temp in range(s,t+1): countA+=1 for i in range(len(orange)): temp=b+orange[i] if temp in range(s,t+1): countO+=1 print(countA) print(countO)

[ "noreply@github.com" ]

Mayurg6832.noreply@github.com

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/testdrf/tdrf/wsgi.py

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[]

no_license

taojy123/openapi_speech

bc98dda45ba913b3408b5649a5c574b5badd21f0

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refs/heads/master

2022-11-07T14:03:32.104921

2020-06-27T15:19:19

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""" WSGI config for tdrf project. It exposes the WSGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/3.0/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'tdrf.settings') application = get_wsgi_application()

[ "taojy123@163.com" ]

taojy123@163.com

52cc571ad9fd0579f0fdcb429ce18b6da15f9104

de24f83a5e3768a2638ebcf13cbe717e75740168

/moodledata/vpl_data/85/usersdata/174/55054/submittedfiles/funcoes1.py

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[]

no_license

rafaelperazzo/programacao-web

95643423a35c44613b0f64bed05bd34780fe2436

170dd5440afb9ee68a973f3de13a99aa4c735d79

refs/heads/master

2021-01-12T14:06:25.773146

2017-12-22T16:05:45

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# -*- coding: utf-8 -*- def crescente (lista): #código da função crescente for i in range(0,len(lista)-1,1): contd=0 if lista[i]>lista[i+1]: contd=contd+1 if (contd)!=len(lista)-1: return True else: return False def decrescente (lista): #código da função decrescente for i in range(0,len(lista)-1,1): contc=0 if lista[i]<lista[i+1]: contc=contc+1 if contc==len(lista)-1: return True else: return False def consecutivos (lista): #código da função de elementos consecutivos for i in range(0,len(lista)-1,1): cont = 0 if lista[i]==lista[i+1]: cont=cont+1 if cont!=1: return True else: return False #escreva as demais funções # Pedir a quantidade de elementos das listas n = int(input('Quantidade de elementos: ')) # Criar as listas vázias a=[] b=[] c=[] # Inserir elementos à lista for i in range(1,n+1,1): a.append(input('Lista A - %dº Valor: '%i)) for i in range(1,n+1,1): a.append(input('Lista B - %dº Valor: '%i)) for i in range(1,n+1,1): a.append(input('Lista C - %dº Valor: '%i)) #escreva o programa principal def testar(lista): # código da função para fazer os 3 testes if crescente(lista): print ('S') else: print ('N') if decrescente(lista): print ('S') else: print ('N') if consecutivos(lista): print ('S') else: print ('N') # Imprimir os resultados print (testar(a)) print (testar(b)) print (testar(c))

[ "rafael.mota@ufca.edu.br" ]

rafael.mota@ufca.edu.br

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d2ea8079864f6f0b99937645c2d4cab8817e75f8

/05_lekcja6OperacjeNaPlikach/Zad6Karty.py

ae96e5509ce0b2438c098833c86ccf03a29cb229

[]

no_license

FlyingMedusa/PythonCourse

ea960ab20415180d6e164abf4af5619ad9d256fb

4be6ffd1054b25285205d19987fb0fade0f72c14

refs/heads/master

2022-04-09T15:59:38.742786

2020-02-12T17:49:56

213,706,789

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null

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py

def is_visa(is_card, number): if is_card == False: return False if len(number) == 16 or len(number) == 13: if card_number[0] == '4': return True def is_mastercard(is_card, number): if is_card == False: return False if len(number) == 16: if int(number[0:2]) in range(51, 56) or int(number[0:4]) in range(2221, 2721): return True def is_AmE(is_card, number): if is_card == False: return False if len(number) == 15: if int(number[0:2]) in (34, 37): return True filename = 'cardsnumbers.txt' with open(filename) as fopen: cards = fopen.read() cards = cards.split() i = 1 for card_number in cards: can_be_card_number = False print(i) if 13 > len(card_number) or 16 < len(card_number): print("\tWrong number") else: if card_number.isdecimal(): print("\tCan be a card number") can_be_card_number = True else: print("\tNot a number") if is_visa(can_be_card_number, card_number): print("\tI'm a Visa") with open('visa.txt', 'a') as f: f.write(card_number) elif is_mastercard(can_be_card_number, card_number): print("\tI'm a Mastercard") with open('mastercard.txt', 'a') as f: f.write(card_number) elif is_AmE(can_be_card_number, card_number): print("\tI'm an American Express") with open('American.txt', 'a') as f: f.write(card_number) else: print("\tNot known card type") i += 1

[ "sleboda.m98@gmail.com" ]

sleboda.m98@gmail.com

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ab8a34e5b821dde7b09abe37c838de046846484e

/twilio/sample-code-master/taskrouter/v1/task_queues_statistics/read-default/read-default.6.x.py

e63be41889aa29f493efff5404bcbd35336aaf55

[]

no_license

sekharfly/twilio

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a2847e4c79f9fbf5c53f25c8224deb11048fe94b

refs/heads/master

2020-03-29T08:39:00.079997

2018-09-21T07:20:24

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1

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py

# Download the helper library from https://www.twilio.com/docs/python/install from twilio.rest import Client # Your Account Sid and Auth Token from twilio.com/console account_sid = 'ACXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX' auth_token = 'your_auth_token' client = Client(account_sid, auth_token) statistics = client.taskrouter \ .workspaces('WSXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX') \ .task_queues \ .statistics \ .list() for record in statistics: print(record.cumulative)

[ "sekharfly@gmail.com" ]

sekharfly@gmail.com

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/clip/ViT-B-32-cpu/code/__torch__/torch/nn/modules/linear/___torch_mangle_9547.py

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[ "MIT" ]

permissive

shawwn/CLIP

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refs/heads/main

2023-02-21T13:03:51.522948

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class Linear(Module): __parameters__ = ["weight", "bias", ] __buffers__ = [] weight : Tensor bias : Tensor training : bool def forward(self: __torch__.torch.nn.modules.linear.___torch_mangle_9547.Linear, argument_1: Tensor) -> Tensor: _0 = self.bias output = torch.matmul(argument_1.float(), torch.t(self.weight.float())) return torch.add_(output, _0, alpha=1) def forward1(self: __torch__.torch.nn.modules.linear.___torch_mangle_9547.Linear, argument_1: Tensor) -> Tensor: _1 = self.bias output = torch.matmul(argument_1.float(), torch.t(self.weight.float())) return torch.add_(output, _1, alpha=1)

[ "shawnpresser@gmail.com" ]

shawnpresser@gmail.com

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/docker/server/project/app/controller/monitoring/views.py

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ardikabs/fipro-core

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import datetime import pytz import json from bson import json_util from flask import ( current_app, jsonify, render_template, request, redirect, url_for, flash, make_response ) from flask_login import ( current_user, login_required ) from . import monitoring from app.utils import get_datetime, current_datetime from app.commons.MongoInterface import MongoInterface as MoI from app.models import Agents, OldAgents @monitoring.route('/') @login_required def index(): return redirect(url_for('main.index')) @monitoring.route('/top-attacks/') @login_required def top_attacks(): title = "Top Attacks" moi = MoI() if moi.check_conn() is False: return render_template('monitoring/top_attacks.html', title=title, db_info=False) return render_template('monitoring/top_attacks.html', title=title, db_info=True) @monitoring.route('/event-statistics/') @login_required def event_statistics(): import time start = time.time() title = "Event Statistics" moi = MoI() if moi.check_conn() is False: return render_template('monitoring/event_statistics.html', title=title, db_info=False) events = moi.logs.events_histogram(identifier= current_user.identifier, limit=10) print ("1. {}".format(time.time() - start)) countries = moi.logs.countries_histogram(identifier= current_user.identifier, limit=10) print ("2. {}".format(time.time() - start)) ports = moi.logs.ports_histogram(identifier= current_user.identifier, limit=11) print ("3. {}".format(time.time() - start)) sensor_events_histogram = json.dumps(events, default=json_util.default) countries_event_histogram = json.dumps(countries, default=json_util.default) ports_event_histogram = json.dumps(ports, default=json_util.default) sensor_events = moi.logs.events_count(identifier= current_user.identifier) print ("4. {}".format(time.time() - start)) ports_events = moi.logs.ports_events_count(identifier= current_user.identifier, limit=15) print ("5. {}".format(time.time() - start)) countries_ports_events = moi.logs.top_countries_port(identifier= current_user.identifier, limit=6) print ("6. {}".format(time.time() - start)) return render_template( 'monitoring/event_statistics.html', title=title, db_info=True, sensor_event_histogram=sensor_events_histogram, countries_event_histogram=countries_event_histogram, ports_event_histogram=ports_event_histogram, sensor_events=sensor_events, ports_events=ports_events, countries_ports_events=countries_ports_events ) @monitoring.route('/event-hourly-statistics/') @login_required def event_hourly_statistics(): title = "Event Hourly Statistics" moi = MoI() if moi.check_conn() is False: return render_template('monitoring/event_hourly.html', title=title, db_info=False) current = current_datetime() date = current.strftime("%Y-%m-%d") ts = datetime.datetime.strptime(date, "%Y-%m-%d") sensor_event = moi.logs.sensor_event_statistics(identifier= current_user.identifier, date=ts) agent_event = moi.logs.agents_event_statistics(identifier= current_user.identifier, date=ts) ports_event = moi.logs.ports_event_statistics(identifier= current_user.identifier, date=ts, limit=10) countries_event = moi.logs.countries_event_statistics(identifier= current_user.identifier, date=ts, limit=10) for agent in agent_event: ag = Agents.query.filter_by(ipaddr=agent.get('label')).first() agent['agent_ip'] = agent['label'] agent['label'] = ag.show_info() return render_template( 'monitoring/event_hourly.html', title=title, db_info=True, sensor_event = sensor_event, agent_event = agent_event, ports_event = ports_event, countries_event = countries_event ) # AJAX ENDPOINT @monitoring.route('/top-attacks/ajax/', methods=['GET','POST']) @login_required def top_attacks_ajax(): moi = MoI() if moi.check_conn() is False: return make_response(jsonify([]), 500) res = None type = request.args.get('type', None) limit = request.args.get('limit', 10) identifier = current_user.identifier options = {'limit': limit} if identifier is None: return make_response(jsonify({'message': 'Identifier required'}), 403) if type == 'top_srcip_port': res = moi.logs.top_sourceip_port(identifier = identifier) elif type == 'top_asn': res = moi.logs.top_asn(identifier = identifier, options=options) elif type == 'top_countries': res = moi.logs.top_countries(identifier = identifier, options=options) elif type == 'top_src_ip': res = moi.logs.top_sourceip(identifier = identifier, options=options) elif type == 'top_unknown': res = moi.logs.top_unknown_sourceip(identifier = identifier, options=options) if res: return make_response(jsonify(res), 200) else: if res is not None: res = {'message': 'No data available', 'status':False} return make_response(jsonify(res), 503) return make_response(jsonify({"message":"Type is not recognized", "status": False}), 404) @monitoring.route('/event-hourly-statistics/ajax/') @login_required def event_hourly_ajax(): moi = MoI() if moi.check_conn() is False: return make_response(jsonify([]), 500) type = request.args.get('type') date = request.args.get('date') identifier = current_user.identifier if identifier is None: return make_response(jsonify({'message': 'Identifier required'}), 403) if date is None: return make_response(jsonify({'message': 'Date param is not initialized'}), 404) ts = datetime.datetime.strptime(date, "%Y-%m-%d").replace(tzinfo=pytz.utc) if type == 'sensor-event': data = moi.logs.sensor_event_statistics(identifier= identifier, date=ts) elif type == 'agents-event': data = moi.logs.agents_event_statistics(identifier= identifier, date=ts) for agent in data: ag = Agents.query.filter_by(ipaddr=agent.get('label')).first() if ag is None: ag = OldAgents.query.filter_by(ipaddr=agent.get('label')).first() agent['agent_ip'] = agent['label'] agent['label'] = ag.show_info() elif type == 'ports-event': data = moi.logs.ports_event_statistics(identifier= identifier, date=ts, limit=10) elif type == 'countries-event': data = moi.logs.countries_event_statistics(identifier= identifier, date=ts, limit=10) if data: return make_response(jsonify(data), 200) else: return make_response(jsonify([]), 404)

[ "ardikabs@gmail.com" ]

ardikabs@gmail.com

9e4b180c96b1b6d9c029b8758dfdd177d8f91d11

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/python/test/test_cumulative_list_sum.py

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alephist/edabit-coding-challenges

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2023-07-30T22:39:37.468756

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import unittest from typing import List, Tuple from cumulative_list_sum import cumulative_sum test_values: Tuple[Tuple[List[int], List[int]]] = ( ([], []), ([1], [1]), ([1, 2, 3], [1, 3, 6]), ([-1, -2, -3], [-1, -3, -6]), ([1, -2, 3], [1, -1, 2]), ([3, 3, -2, 408, 3, 3, 0, 66, 2, -2, 2, 3, 4, 2, -47, 3, 3, 2], [3, 6, 4, 412, 415, 418, 418, 484, 486, 484, 486, 489, 493, 495, 448, 451, 454, 456]), ) class CumulativeListSumTestCase(unittest.TestCase): def test_return_list_of_cumulative_sum(self): for lst, expected_lst in test_values: with self.subTest(): self.assertEqual(cumulative_sum(lst), expected_lst) if __name__ == '__main__': unittest.main()

[ "justin.necesito@gmail.com" ]

justin.necesito@gmail.com

8988b99c5aee861a7932799ddd6ef9b5e4ae0eb2

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/mask_tools.py

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permissive

wtfuzz/kaggle-dsbowl-2018-dataset-fixes

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#!/usr/bin/env python3 import argparse from pathlib import Path import numpy as np from PIL import Image def create_masks(): """ Create masks from red color above original image. """ parser = argparse.ArgumentParser() parser.add_argument('root') args = parser.parse_args() root = Path(args.root) images_root = root / 'images' masks_root = root / 'masks' assert images_root.is_dir() and masks_root.is_dir() for mask_path in list(images_root.glob('mask*.png')): a = np.array(Image.open(mask_path)) # filter only red color mask = (a[:, :, 0] > 127) & (np.max(a[:, :, 1:3], axis=2) < 80) out_path = masks_root / mask_path.name _save_mask(mask, out_path) mask_path.unlink() print(f'{mask_path} -> {out_path}') def ensure_mask(): """ Ensure that a given (edited) mask shows what is it (clip to 0 or 255). """ parser = argparse.ArgumentParser() parser.add_argument('mask_paths', nargs='+') args = parser.parse_args() mask_paths = [] for mask_path in map(Path, args.mask_paths): if mask_path.is_dir(): mask_paths.extend((mask_path / 'masks').glob('*.png')) else: mask_path.append(mask_path) for mask_path in mask_paths: a = np.array(Image.open(mask_path)) needs_fixing = False if len(a.shape) == 3: needs_fixing = True print(f'fixing shape (was {a.shape}) for {mask_path}') a = a[:, :, :3].max(axis=2) if a.dtype != np.uint8: print(f'fixing dtype (was {a.dtype}) for {mask_path}') needs_fixing = True assert a.dtype == np.bool a = a.astype(np.uint8) * 255 assert len(a.shape) == 2 to_fix = np.sum((a > 0) & (a < 255)) if to_fix: needs_fixing = True print(f'fixed {to_fix} pixels for {mask_path}') if needs_fixing: _save_mask(a > 80, mask_path) def _save_mask(mask: np.ndarray, path: Path): assert mask.dtype == np.bool Image.fromarray(mask.astype(np.uint8) * 255).save(path) if __name__ == '__main__': ensure_mask()

[ "kostia.lopuhin@gmail.com" ]

kostia.lopuhin@gmail.com

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lqs4188980/CodingPractice

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class Solution(object): def rotateRight(self, head, k): if head is None: return head l = 0 p = head while p: l += 1 p = p.next k %= l if k == 0: return head i, p = l-k, head while i: i -= 1 p = p.next q = p while q.next: q = q.next q.next = head i = l-k-1 while i > 0: i -= 1 head = head.next head.next = None return p

[ "xiaoqin.zhu.4@gmail.com" ]

xiaoqin.zhu.4@gmail.com

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result = {} for i in range(1, 4): name = input('{} 번째 학생 이름은? '.format(i)) ko_score = int(input('{}님의 국어 시험 점수는? '.format(name))) en_score = int(input('{}님의 영어 시험 점수는? '.format(name))) math_score = int(input('{}님의 수학 시험 점수는? '.format(name))) result[name] = { 'ko_score': ko_score, 'en_score': en_score, 'math_score': math_score, } print('개별 평균점수') for name in result: total = result[name]['ko_score'] + result[name]['en_score'] + result[name]['math_score'] average = total / 3 print('[{}] 국어: {}, 영어: {}, 수학: {}, 평균: {}'.format( name, result[name]['ko_score'], result[name]['en_score'], result[name]['math_score'], average, )) print('전체 국어 평균점수는?') ko_total = 0 for name in result: ko_total += result[name]['ko_score'] ko_average = ko_total / len(result) print(ko_average) print('전체 영어 평균점수는?') en_total = 0 for name in result: en_total += result[name]['en_score'] en_average = en_total / len(result) print(en_average) print('전체 수학 평균점수는?') math_total = 0 for name in result: math_total += result[name]['math_score'] math_average = math_total / len(result) print(math_average)

[ "allieuslee@gmail.com" ]

allieuslee@gmail.com

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/last-minute-env/lib/python2.7/site-packages/django/db/migrations/utils.py

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[]

no_license

frosqh/Cousinade2017

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refs/heads/master

2021-01-20T07:57:34.586476

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import datetime import re COMPILED_REGEX_TYPE = type(re.compile('')) class RegexObject(object): def __init__(self, obj): self.pattern = obj.pattern self.flags = obj.flags def __eq__(self, other): return self.pattern == other.pattern and self.flags == other.flags def get_migration_name_timestamp(): return datetime.datetime.now().strftime("%Y%m%d_%H%M")

[ "frosqh@gmail.com" ]

frosqh@gmail.com

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/Leetcode/53.py

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no_license

syzdemonhunter/Coding_Exercises

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refs/heads/master

2020-05-24T11:19:35.019543

2019-11-22T20:08:32

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# https://leetcode.com/problems/maximum-subarray/ ''' # T: O(n) # S: O(n) class Solution: def maxSubArray(self, nums: List[int]) -> int: dp = [0]*len(nums) dp[0] = nums[0] result = dp[0] for i in range(1, len(nums)): if dp[i - 1] < 0: dp[i] = nums[i] else: dp[i] = nums[i] + dp[i - 1] result = max(result, dp[i]) return result ''' # T: O(n) # S: O(1) class Solution: def maxSubArray(self, nums: List[int]) -> int: result = nums[0] max_end = nums[0] for num in nums[1:]: max_end = max(num, max_end + num) result = max(result, max_end) return result

[ "syzuser60@gmail.com" ]

syzuser60@gmail.com

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/amonone/mail/models.py

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2020-12-25T13:33:46.425826

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from amonone.web.apps.core.basemodel import BaseModel class EmailModel(BaseModel): def __init__(self): super(EmailModel, self).__init__() self.collection = self.mongo.get_collection('email_settings') def save_email_details(self, data=None): self.collection.remove() self.collection.insert(data) def get_email_details(self): return self.collection.find_one() class EmailRecepientModel(BaseModel): def __init__(self): super(EmailRecepientModel, self).__init__() self.collection = self.mongo.get_collection('email_recepients') email_model = EmailModel() email_recepient_model = EmailRecepientModel()

[ "martinrusev@zoho.com" ]

martinrusev@zoho.com

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/venv/lib/python3.7/site-packages/graphql/validation/rules/__init__.py

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[ "MIT" ]

permissive

hskang9/scalable-django

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refs/heads/master

2023-04-29T05:33:23.460640

2020-03-27T00:55:28

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2023-04-21T20:53:08

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from .arguments_of_correct_type import ArgumentsOfCorrectType from .default_values_of_correct_type import DefaultValuesOfCorrectType from .fields_on_correct_type import FieldsOnCorrectType from .fragments_on_composite_types import FragmentsOnCompositeTypes from .known_argument_names import KnownArgumentNames from .known_directives import KnownDirectives from .known_fragment_names import KnownFragmentNames from .known_type_names import KnownTypeNames from .lone_anonymous_operation import LoneAnonymousOperation from .no_fragment_cycles import NoFragmentCycles from .no_undefined_variables import NoUndefinedVariables from .no_unused_fragments import NoUnusedFragments from .no_unused_variables import NoUnusedVariables from .overlapping_fields_can_be_merged import OverlappingFieldsCanBeMerged from .possible_fragment_spreads import PossibleFragmentSpreads from .provided_non_null_arguments import ProvidedNonNullArguments from .scalar_leafs import ScalarLeafs from .unique_argument_names import UniqueArgumentNames from .unique_fragment_names import UniqueFragmentNames from .unique_input_field_names import UniqueInputFieldNames from .unique_operation_names import UniqueOperationNames from .unique_variable_names import UniqueVariableNames from .variables_are_input_types import VariablesAreInputTypes from .variables_in_allowed_position import VariablesInAllowedPosition # Necessary for static type checking if False: # flake8: noqa from typing import List, Type from .base import ValidationRule specified_rules = [ UniqueOperationNames, LoneAnonymousOperation, KnownTypeNames, FragmentsOnCompositeTypes, VariablesAreInputTypes, ScalarLeafs, FieldsOnCorrectType, UniqueFragmentNames, KnownFragmentNames, NoUnusedFragments, PossibleFragmentSpreads, NoFragmentCycles, NoUndefinedVariables, NoUnusedVariables, KnownDirectives, KnownArgumentNames, UniqueArgumentNames, ArgumentsOfCorrectType, ProvidedNonNullArguments, DefaultValuesOfCorrectType, VariablesInAllowedPosition, OverlappingFieldsCanBeMerged, UniqueInputFieldNames, UniqueVariableNames, ] # type: List[Type[ValidationRule]] __all__ = [ "ArgumentsOfCorrectType", "DefaultValuesOfCorrectType", "FieldsOnCorrectType", "FragmentsOnCompositeTypes", "KnownArgumentNames", "KnownDirectives", "KnownFragmentNames", "KnownTypeNames", "LoneAnonymousOperation", "NoFragmentCycles", "UniqueVariableNames", "NoUndefinedVariables", "NoUnusedFragments", "NoUnusedVariables", "OverlappingFieldsCanBeMerged", "PossibleFragmentSpreads", "ProvidedNonNullArguments", "ScalarLeafs", "UniqueArgumentNames", "UniqueFragmentNames", "UniqueInputFieldNames", "UniqueOperationNames", "VariablesAreInputTypes", "VariablesInAllowedPosition", "specified_rules", ]

[ "hyungsukkang@Hyungsuks-Mac-mini.local" ]

hyungsukkang@Hyungsuks-Mac-mini.local

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/exercise/git_exercises/visitors_book/visitors_book/wsgi.py

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[]

no_license

gzgdouru/python_study

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2020-03-29T11:33:13.150869

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""" WSGI config for visitors_book project. It exposes the WSGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/1.11/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault("DJANGO_SETTINGS_MODULE", "visitors_book.settings") application = get_wsgi_application()

[ "18719091650@163.com" ]

18719091650@163.com

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/venv/Lib/site-packages/cobra/modelimpl/vns/range.py

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[]

no_license

bkhoward/aciDOM

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refs/heads/master

2023-03-27T23:37:02.836904

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py

# coding=UTF-8 # ********************************************************************** # Copyright (c) 2013-2020 Cisco Systems, Inc. All rights reserved # written by zen warriors, do not modify! # ********************************************************************** from cobra.mit.meta import ClassMeta from cobra.mit.meta import StatsClassMeta from cobra.mit.meta import CounterMeta from cobra.mit.meta import PropMeta from cobra.mit.meta import Category from cobra.mit.meta import SourceRelationMeta from cobra.mit.meta import NamedSourceRelationMeta from cobra.mit.meta import TargetRelationMeta from cobra.mit.meta import DeploymentPathMeta, DeploymentCategory from cobra.model.category import MoCategory, PropCategory, CounterCategory from cobra.mit.mo import Mo # ################################################## class Range(Mo): """ A range assertion. """ meta = ClassMeta("cobra.model.vns.Range") meta.moClassName = "vnsRange" meta.rnFormat = "range-%(name)s" meta.category = MoCategory.REGULAR meta.label = "Range Assertion" meta.writeAccessMask = 0x1 meta.readAccessMask = 0x1 meta.isDomainable = False meta.isReadOnly = True meta.isConfigurable = False meta.isDeletable = False meta.isContextRoot = False meta.parentClasses.add("cobra.model.vns.MDev") meta.parentClasses.add("cobra.model.vns.MParam") meta.parentClasses.add("cobra.model.vns.MFolder") meta.parentClasses.add("cobra.model.vns.Composite") meta.parentClasses.add("cobra.model.vns.MFunc") meta.superClasses.add("cobra.model.naming.NamedObject") meta.superClasses.add("cobra.model.vns.Assertion") meta.rnPrefixes = [ ('range-', True), ] prop = PropMeta("str", "childAction", "childAction", 4, PropCategory.CHILD_ACTION) prop.label = "None" prop.isImplicit = True prop.isAdmin = True prop._addConstant("deleteAll", "deleteall", 16384) prop._addConstant("deleteNonPresent", "deletenonpresent", 8192) prop._addConstant("ignore", "ignore", 4096) meta.props.add("childAction", prop) prop = PropMeta("str", "dn", "dn", 1, PropCategory.DN) prop.label = "None" prop.isDn = True prop.isImplicit = True prop.isAdmin = True prop.isCreateOnly = True meta.props.add("dn", prop) prop = PropMeta("str", "lcOwn", "lcOwn", 9, PropCategory.REGULAR) prop.label = "None" prop.isImplicit = True prop.isAdmin = True prop.defaultValue = 0 prop.defaultValueStr = "local" prop._addConstant("implicit", "implicit", 4) prop._addConstant("local", "local", 0) prop._addConstant("policy", "policy", 1) prop._addConstant("replica", "replica", 2) prop._addConstant("resolveOnBehalf", "resolvedonbehalf", 3) meta.props.add("lcOwn", prop) prop = PropMeta("str", "modTs", "modTs", 7, PropCategory.REGULAR) prop.label = "None" prop.isImplicit = True prop.isAdmin = True prop.defaultValue = 0 prop.defaultValueStr = "never" prop._addConstant("never", "never", 0) meta.props.add("modTs", prop) prop = PropMeta("str", "name", "name", 7373, PropCategory.REGULAR) prop.label = "Name" prop.isConfig = True prop.isAdmin = True prop.isCreateOnly = True prop.isNaming = True prop.range = [(1, 16)] prop.regex = ['[a-zA-Z0-9_.:-]+'] prop.defaultValue = "schema" prop.defaultValueStr = "schema" meta.props.add("name", prop) prop = PropMeta("str", "nameAlias", "nameAlias", 28417, PropCategory.REGULAR) prop.label = "Name alias" prop.isConfig = True prop.isAdmin = True prop.range = [(0, 63)] prop.regex = ['[a-zA-Z0-9_.-]+'] meta.props.add("nameAlias", prop) prop = PropMeta("str", "not", "not", 5085, PropCategory.REGULAR) prop.label = "None" prop.isImplicit = True prop.isAdmin = True prop.defaultValue = False prop.defaultValueStr = "no" prop._addConstant("no", None, False) prop._addConstant("yes", None, True) meta.props.add("not", prop) prop = PropMeta("str", "rn", "rn", 2, PropCategory.RN) prop.label = "None" prop.isRn = True prop.isImplicit = True prop.isAdmin = True prop.isCreateOnly = True meta.props.add("rn", prop) prop = PropMeta("str", "status", "status", 3, PropCategory.STATUS) prop.label = "None" prop.isImplicit = True prop.isAdmin = True prop._addConstant("created", "created", 2) prop._addConstant("deleted", "deleted", 8) prop._addConstant("modified", "modified", 4) meta.props.add("status", prop) prop = PropMeta("str", "value1", "value1", 5088, PropCategory.REGULAR) prop.label = "None" prop.isImplicit = True prop.isAdmin = True prop.range = [(0, 512)] meta.props.add("value1", prop) prop = PropMeta("str", "value2", "value2", 5089, PropCategory.REGULAR) prop.label = "None" prop.isImplicit = True prop.isAdmin = True prop.range = [(0, 512)] meta.props.add("value2", prop) meta.namingProps.append(getattr(meta.props, "name")) # Deployment Meta meta.deploymentQuery = True meta.deploymentType = "Ancestor" meta.deploymentQueryPaths.append(DeploymentPathMeta("MDevToGraphInst", "Graph Instances", "cobra.model.vns.GraphInst")) def __init__(self, parentMoOrDn, name, markDirty=True, **creationProps): namingVals = [name] Mo.__init__(self, parentMoOrDn, markDirty, *namingVals, **creationProps) # End of package file # ##################################################

[ "bkhoward@live.com" ]

bkhoward@live.com

7a585e2db5523b1ba1a9cca50833de40373101ac

cdbd54f19b28c651e1945f4514a2a2a5431d4753

/myspider/myspider/settings.py

fe55396cdd58a2b20c9a62c340c9ed8b6be7bf33

[]

no_license

Knowledgeofitselfisriches/spider

8ccc7e928da00dc7b53159fb53d6f38b16316ee9

797736b6ac850532efe42d9e60524d612d99ad02

refs/heads/master

2020-03-27T08:41:06.005591

2018-09-11T05:48:10

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# -*- coding: utf-8 -*- # Scrapy settings for myspider project # # For simplicity, this file contains only settings considered important or # commonly used. You can find more settings consulting the documentation: # # https://doc.scrapy.org/en/latest/topics/settings.html # https://doc.scrapy.org/en/latest/topics/downloader-middleware.html # https://doc.scrapy.org/en/latest/topics/spider-middleware.html import os BOT_NAME = 'myspider' SPIDER_MODULES = ['myspider.spiders'] NEWSPIDER_MODULE = 'myspider.spiders' # Crawl responsibly by identifying yourself (and your website) on the user-agent # USER_AGENT = 'myspider (+http://www.yourdomain.com)' # Obey robots.txt rules ROBOTSTXT_OBEY = False # Configure maximum concurrent requests performed by Scrapy (default: 16) # CONCURRENT_REQUESTS = 32 # Configure a delay for requests for the same website (default: 0) # See https://doc.scrapy.org/en/latest/topics/settings.html#download-delay # See also autothrottle settings and docs # DOWNLOAD_DELAY = 3 # The download delay setting will honor only one of: # CONCURRENT_REQUESTS_PER_DOMAIN = 16 # CONCURRENT_REQUESTS_PER_IP = 16 # Disable cookies (enabled by default) # COOKIES_ENABLED = False # Disable Telnet Console (enabled by default) # TELNETCONSOLE_ENABLED = False # Override the default request headers: DEFAULT_REQUEST_HEADERS = { 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8', 'Accept-Language': 'en', 'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.106 Safari/537.36' } # Enable or disable spider middlewares # See https://doc.scrapy.org/en/latest/topics/spider-middleware.html # SPIDER_MIDDLEWARES = { # 'myspider.middlewares.MyspiderSpiderMiddleware': 543, # } # Enable or disable downloader middlewares # See https://doc.scrapy.org/en/latest/topics/downloader-middleware.html # DOWNLOADER_MIDDLEWARES = { # 'myspider.middlewares.MyspiderDownloaderMiddleware': 543, # } # Enable or disable extensions # See https://doc.scrapy.org/en/latest/topics/extensions.html # EXTENSIONS = { # 'scrapy.extensions.telnet.TelnetConsole': None, # } # Configure item pipelines # See https://doc.scrapy.org/en/latest/topics/item-pipeline.html ITEM_PIPELINES = { 'myspider.pipelines.MyspiderPipeline': 301, 'myspider.pipelines.ShangGuiGuImagePipelines': 300, } # Enable and configure the AutoThrottle extension (disabled by default) # See https://doc.scrapy.org/en/latest/topics/autothrottle.html # AUTOTHROTTLE_ENABLED = True # The initial download delay # AUTOTHROTTLE_START_DELAY = 5 # The maximum download delay to be set in case of high latencies # AUTOTHROTTLE_MAX_DELAY = 60 # The average number of requests Scrapy should be sending in parallel to # each remote server # AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0 # Enable showing throttling stats for every response received: # AUTOTHROTTLE_DEBUG = False # Enable and configure HTTP caching (disabled by default) # See https://doc.scrapy.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings # HTTPCACHE_ENABLED = True # HTTPCACHE_EXPIRATION_SECS = 0 # HTTPCACHE_DIR = 'httpcache' # HTTPCACHE_IGNORE_HTTP_CODES = [] # HTTPCACHE_STORAGE = 'scrapy.extensions.httpcache.FilesystemCacheStorage' IMAGES_STORE = os.path.dirname(os.path.realpath("__file__")) + "/images/"

[ "283658013@qq.com" ]

283658013@qq.com

5f36f7b5a2f455751488b2ddc7cfe19638b20074

7913bf8dee268d0ed0a96b6ef359abac24f4e613

/code/backend/billing/migrations/0002_auto_20200512_1158.py

34b08f9bf77070850a866489ba0306dbd6f8e330

[ "MIT" ]

permissive

dorinapall/noe

724236813fc130be550b80bb1701293c4d2775eb

6d5682ab00a2cdc5cb419ecab57804c9f70d7b3a

refs/heads/master

2022-11-11T17:29:22.365369

2020-06-18T09:12:58

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MIT

2020-06-18T09:35:22

2020-06-18T09:35:21

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# Generated by Django 3.0.5 on 2020-05-12 09:58 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('appointments', '0003_seat_doctor_name'), ('billing', '0001_initial'), ] operations = [ migrations.AlterField( model_name='billingdetail', name='appointment', field=models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, related_name='billing_detail', to='appointments.Appointment'), ), ]

[ "kissgyorgy@me.com" ]

kissgyorgy@me.com

1f3a93ff2a1c44f7c16ced6b39a02975fae54761

3ba2d4091332b9d0a2b053f15a4d4ce4ae1c1ef0

/中等148. 排序链表.py

91439c6553ea5b008723b9dca4e9aafa03ea40cd

[]

no_license

ganhan999/ForLeetcode

126272d34250035abda6c2d67222c2c186a3f80b

9980a9e4bf448b2cf3fed98891a54b6d202a64db

refs/heads/master

2023-05-01T14:21:49.883692

2021-05-12T08:59:51

348,708,572

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null

UTF-8

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py

""" 给你链表的头结点head，请将其按升序排列并返回排序后的链表。进阶：你可以在O(nlogn) 时间复杂度和常数级空间复杂度下，对链表进行排序吗？示例 1：输入：head = [4,2,1,3] 输出：[1,2,3,4] 示例 2：输入：head = [-1,5,3,4,0] 输出：[-1,0,3,4,5] 示例 3：输入：head = [] 输出：[] """ """ 合并排序，利用递归，自上而下 """ #大神做法1 class Solution: def sortList(self, head: ListNode) -> ListNode: def sortFunc(head: ListNode, tail: ListNode) -> ListNode:#用快慢指针找到中点，分成两个链表 if not head: return head if head.next == tail: head.next = None return head slow = fast = head while fast != tail: slow = slow.next fast = fast.next if fast != tail: fast = fast.next mid = slow return merge(sortFunc(head, mid), sortFunc(mid, tail)) def merge(head1: ListNode, head2: ListNode) -> ListNode: dummyHead = ListNode(0) temp, temp1, temp2 = dummyHead, head1, head2 while temp1 and temp2: if temp1.val <= temp2.val: temp.next = temp1 temp1 = temp1.next else: temp.next = temp2 temp2 = temp2.next temp = temp.next if temp1: temp.next = temp1 elif temp2: temp.next = temp2 return dummyHead.next return sortFunc(head, None)#一开始是以None作为fast的最后一个节点的判断条件 """ 合并排序，自底向上，先1后2再4以此类推 """ #大神做法1 class Solution: def sortList(self, head: ListNode) -> ListNode: def merge(head1: ListNode, head2: ListNode) -> ListNode: dummyHead = ListNode(0) temp, temp1, temp2 = dummyHead, head1, head2 while temp1 and temp2: if temp1.val <= temp2.val: temp.next = temp1 temp1 = temp1.next else: temp.next = temp2 temp2 = temp2.next temp = temp.next if temp1: temp.next = temp1 elif temp2: temp.next = temp2 return dummyHead.next if not head: return head length = 0 node = head while node: length += 1 node = node.next dummyHead = ListNode(0, head) subLength = 1 while subLength < length: prev, curr = dummyHead, dummyHead.next while curr: head1 = curr for i in range(1, subLength): if curr.next: curr = curr.next else: break head2 = curr.next curr.next = None curr = head2 for i in range(1, subLength): if curr and curr.next: curr = curr.next else: break succ = None if curr: succ = curr.next curr.next = None merged = merge(head1, head2) prev.next = merged while prev.next: prev = prev.next curr = succ subLength <<= 1 return dummyHead.next

[ "940320304@qq.com" ]

940320304@qq.com

053856ce397586ba9db58c2ae9a1b73ace95139a

82a42645c35b43542c63afb28d3dd0f891d71982

/Stack_and_Queue/RedundantBraces.py

ec0bbb178edbfe11e9042351476d23c7e96b773f

[]

no_license

nehatomar12/Data-structures-and-Algorithms

54e48ecd3cd360ff4ea0196243e4a8b4cdf6181f

b9566764de4faa0e95a4dfe90fe46f843ade4a8c

refs/heads/master

2023-03-01T01:28:55.581679

2021-02-09T08:07:47

292,843,092

0

null

UTF-8

Python

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py

""" Given a string A denoting an expression. It contains the following operators ’+’, ‘-‘, ‘*’, ‘/’. Chech whether A has redundant braces or not. Return 1 if A has redundant braces, else return 0. Note: A will be always a valid expression. Input 1: A = "((a + b))" Output 1: 1 Explanation 1: ((a + b)) has redundant braces so answer will be 1. Input 2: A = "(a + (a + b))" Output 2: 0 """ A = "((a + b))" A = "(a + (a + b))" #A = "(a)" #A = " ((a+b-c)*c)" def braces(): res = True s = [] top = -1 temp = "" for i in A: if i != " ": s.append(i) top += 1 if top != -1 and s[top] == ')': s.pop() top -= 1 while top != -1 : if s[top] == "(": break temp += s.pop() top -= 1 s.pop() top -= 1 if temp and len(temp) > 1: temp ="" else: res = False if res: return 0 return 1 print((braces()))

[ "neha.tomar@M305393FCHTDF.community.veritas.com" ]

neha.tomar@M305393FCHTDF.community.veritas.com

7e1cef525621e6e50f5dd544e860b0e514055996

be1619e4ef51753443fbc82dedcd9bb5c32749ab

/migrations/tests/loader_files/app2/0001_initial.migration.py

945e1b041c80a3593d661466e63eee2da73c15f9

[]

no_license

PeterUSA123/migrations

5264ea0deed4dc8670f54a6abdf5000439e10cb4

7e5dfb7c32970d9f2163d779a2e225feb123c740

refs/heads/master

2020-09-10T07:39:25.911462

2012-09-04T18:51:15

null

0

null

UTF-8

Python

false

383

py

from migrations.api import * class Migration(BaseMigration): actions = [ CreateModel( name = "Book", fields = [ ("title", Field("django.db.models.fields.CharField", [], {"max_length": "100"})), ("author", Field("django.db.models.fields.related.ForeignKey", ["app1.Author"], {})), ], ), ]

[ "andrew@aeracode.org" ]

andrew@aeracode.org

f0d8898bd3cd604ac6df4be28d7ffbec78e9e395

20d9130fdc21756c4f8fe255583922352f5c5762

/src/DIRAC/Interfaces/scripts/dirac-framework-ping-service.py

651aab2405ce29d834f1054882fa688175e87666

[]

no_license

bopopescu/bes3-jinr

095314e43f41f08bd48b248fe3ca627a5c009f58

fdfd852c92a56192b8ee9970b66f0136e6e0afff

refs/heads/master

2022-11-26T06:01:36.718508

2014-03-17T06:03:50

282,113,617

0

null

2020-07-24T03:30:10

2020-07-24T03:30:09

null

UTF-8

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py

#!/usr/bin/env python ######################################################################## # $HeadURL$ # File : dirac-framework-ping-service # Author : Stuart Paterson ######################################################################## """ Ping the given DIRAC Service """ __RCSID__ = "55b8255 (2010-12-14 18:54:06 +0000) Ricardo Graciani <graciani@ecm.ub.es>" import DIRAC from DIRAC.Core.Base import Script Script.setUsageMessage( '\n'.join( [ __doc__.split( '\n' )[1], 'Usage:', ' %s [option|cfgfile] ... System Service|System/Agent' % Script.scriptName, 'Arguments:', ' System: Name of the DIRAC system (ie: WorkloadManagement)', ' Service: Name of the DIRAC service (ie: Matcher)'] ) ) Script.parseCommandLine( ignoreErrors = True ) args = Script.getPositionalArgs() if len( args ) == 1: args = args[0].split( '/' ) if len( args ) < 2: Script.showHelp() from DIRAC.Interfaces.API.Dirac import Dirac dirac = Dirac() exitCode = 0 system = args[0] service = args[1] result = dirac.ping( system, service, printOutput = True ) if not result: print 'ERROR: Null result from ping()' exitCode = 2 elif not result['OK']: print 'ERROR: ', result['Message'] exitCode = 2 DIRAC.exit( exitCode )

[ "gavelock@gmail.com" ]

gavelock@gmail.com

531256a3754c73218f5f4197dfd5e7e094ed1479

d1032c2b568daf02de5cf2e7aaa33a608ffd20e1

/Basic/1097_16694268(AC).py

3e843332f77134831cb1f74c8ffc85ec0998a1ce

[]

no_license

Junhyeok1015/Codeup

267edef68113951019d28d311d38aa91d6677bde

ee5207528fd22689311c2941b94d7ac2480fe0cc

refs/heads/master

2023-02-12T17:10:06.481196

2021-01-17T02:34:23

326,317,725

0

null

UTF-8

Python

false

602

py

list_ = [] for _ in range(19): a = list(map(int, input().strip().split(" "))) list_.append(a) n = int(input()) for i in range(n): a, b = list(map(int, input().strip().split(" "))) for i in range(19): if list_[a-1][i] == 0: list_[a-1][i] = 1 else: list_[a-1][i] = 0 for i in range(19): if list_[i][b-1] == 0: list_[i][b-1] = 1 else: list_[i][b-1] = 0 for i in range(19): line = "" for j in range(19): k = str(list_[i][j]) line += k + " " print(line)

[ "mo223772@naver.com" ]

mo223772@naver.com

285ca8ee864c495bce6ae6df87254098f6f3ae2e

4f875744ccae8fa9225318ce16fc483b7bf2735e

/facebook/phoneScreen/romanToInteger.py

b8b2400a7a9d68417e8d3c8bc1fe8508c27053a0

[]

no_license

nguyenngochuy91/companyQuestions

62c0821174bb3cb33c7af2c5a1e83a60e4a29977

c937fe19be665ba7ac345e1729ff531f370f30e8

refs/heads/master

2020-07-27T05:58:36.794033

2020-04-10T20:57:15

208,893,527

1

0

null

UTF-8

Python

false

458

py

# -*- coding: utf-8 -*- """ Created on Wed Oct 9 16:49:16 2019 @author: huyn """ def romanToInt(s: str) -> int: d= {"I":1,"V":5,"X":10,"L":50,"C":100,"D":500,"M":1000} if not s: return 0 current = d[s[0]] accumulate = d[s[0]] for i in range(len(s)-1): v = d[s[i+1]] if v>current: accumulate= accumulate-current+v-current else: accumulate+=v current=v return accumulate

[ "huyn@cvm6h4zv52.cvm.iastate.edu" ]

huyn@cvm6h4zv52.cvm.iastate.edu

19a398780eab3ca00a2386b563a810fa549b5d18

eadd15064aa74811e7a3718b617636627ef4fd47

/web/migrations/0013_image_name.py

197a63613795ccaf8996f8c4be245d15c0425935

[]

no_license

topsai/plasrefine_backstage

262f7bb032daa4d018aac1519e1139cb060c3f91

1eb34dd0b13ebdc2a42dd6ed1aaa2d08c18ab5fb

refs/heads/master

2023-04-12T13:24:22.710108

2021-05-08T14:16:41

361,993,024

0

null

UTF-8

Python

false

420

py

# Generated by Django 3.2 on 2021-04-30 14:53 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('web', '0012_websetting_about'), ] operations = [ migrations.AddField( model_name='image', name='name', field=models.CharField(default=1, max_length=30), preserve_default=False, ), ]

[ "hurte@foxmail.com" ]

hurte@foxmail.com

57b116ce2d853c1a87b2103a9ab456fb8fb82aa5

97d8d8f303545583e04356279b58c59e41bcb0e7

/TransitAdScreen/settings/base.py

bf8535f899ce787bb222211c9c15aefdd5549c83

[ "Apache-2.0" ]

permissive

8secz-johndpope/transit-advertising-screen-cms

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9c27d4d7ed9fe598c1c48ca96ee5d10f619c8683

refs/heads/master

2022-09-24T13:44:07.056409

2019-10-17T16:40:21

null

0

null

UTF-8

Python

false

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""" Django settings for TransitAdScreen project. Generated by 'django-admin startproject' using Django 2.2. For more information on this file, see https://docs.djangoproject.com/en/2.2/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.2/ref/settings/ """ import os # Build paths inside the project like this: os.path.join(BASE_DIR, ...) BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) # Application definition INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', 'screens.apps.ScreensConfig', 'constance', 'constance.backends.database', 'import_export', 'mathfilters', ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] ROOT_URLCONF = 'TransitAdScreen.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [os.path.join(BASE_DIR, 'templates')], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'TransitAdScreen.wsgi.application' # Database # https://docs.djangoproject.com/en/2.2/ref/settings/#databases DATABASES = { 'default': {} } # Password validation # https://docs.djangoproject.com/en/2.2/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/2.2/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/2.2/howto/static-files/ STATIC_URL = '/static/' # Constance CONSTANCE_BACKEND = 'constance.backends.database.DatabaseBackend' CONSTANCE_CONFIG = { 'IMAGE_SERVER_URL': ('https://images.servername.com/', 'Image server URL', str), }

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raulsergio9@gmail.com

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/async_worker/__init__.py

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[ "Apache-2.0" ]

permissive

cxy19941228/DeepRL

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from .actor_critic import * from .continuous_actor_critic import * from .n_step_q import * from .one_step_sarsa import * from .one_step_q import * from .ppo import *

[ "zhangshangtong.cpp@icloud.com" ]

zhangshangtong.cpp@icloud.com

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/day1_python/01_python200_src/093.py

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[]

no_license

jsh2333/pyml

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url = 'http://www.naver.com/news/today=20160831' log = 'name:홍길동 age:17 sex:남자 nation:조선' ret1 = url.split('/') print(ret1) ret2 = log.split() for data in ret2: d1, d2 = data.split(':') print('%s -> %s' %(d1, d2))

[ "jsh2333@gmail.com" ]

jsh2333@gmail.com

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/Python_codes/p04044/s849053305.py

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[]

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Aasthaengg/IBMdataset

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# row = [int(x) for x in input().rstrip().split(" ")] # n = int(input().rstrip()) # s = input().rstrip() def resolve(): import sys input = sys.stdin.readline n, l = [int(x) for x in input().rstrip().split(" ")] s_list = [input().rstrip() for _ in range(n)] s_list = sorted(s_list) print("".join(s_list)) if __name__ == "__main__": resolve()

[ "66529651+Aastha2104@users.noreply.github.com" ]

66529651+Aastha2104@users.noreply.github.com

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/problems/415. Add Strings/1 - Backtracking.py

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[]

no_license

Vasilic-Maxim/LeetCode-Problems

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refs/heads/master

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2021-06-07T12:42:52

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from itertools import zip_longest class Solution: def addStrings(self, num1: str, num2: str) -> str: zero = ord("0") carry = 0 result = [] for n1, n2 in zip_longest(reversed(num1), reversed(num2)): n1 = 0 if n1 is None else ord(n1) - zero n2 = 0 if n2 is None else ord(n2) - zero carry, mod = divmod(n1 + n2 + carry, 10) result.append(str(mod)) return "".join(result).reverse()

[ "lmantenl@gmail.com" ]

lmantenl@gmail.com

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/KerasCode/mlp.py

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[]

no_license

afcarl/dl_code

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refs/heads/master

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2017-05-17T02:34:20

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2018-07-05T16:11:14

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py

from keras.models import Sequential from keras.layers import Dense import numpy import os import TheanoCode # theano.config.device = 'gpu' seed = 7 numpy.random.seed(seed) data_path = "/".join([os.getcwd(), "../Data/pima-indians-diabetes.data.txt"]) dataset = numpy.loadtxt(data_path, delimiter=",") X = dataset[:,0:8] Y = dataset[:,8] model = Sequential() model.add(Dense(12, input_dim=8, init='uniform', activation='relu')) model.add(Dense(8, init='uniform', activation='relu')) model.add(Dense(1, init='uniform', activation='sigmoid')) model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy']) model.fit(X, Y, nb_epoch=150, batch_size=10) scores = model.evaluate(X, Y) print("%s: %.2f%%" % (model.metrics_names[1], scores[1]*100))

[ "zhaosanqiang916@gmail.com" ]

zhaosanqiang916@gmail.com

80e000c9d12a4180c7aa61e175235c04a2c00eb6

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/api/tests_v2/zeros_like.py

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[]

no_license

PaddlePaddle/benchmark

a3ed62841598d079529c7440367385fc883835aa

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refs/heads/master

2023-09-01T13:11:09.892877

2023-08-21T09:32:49

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2023-09-14T05:13:08

2019-02-28T03:14:16

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Python

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# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from common_import import * class PDZerosLike(PaddleAPIBenchmarkBase): def build_program(self, config): data = self.variable( name='data', shape=config.x_shape, dtype=config.x_dtype) result = paddle.zeros_like(x=data) self.feed_vars = [data] self.fetch_vars = [result] class TFZerosLike(TensorflowAPIBenchmarkBase): def build_graph(self, config): data = self.variable( name='data', shape=config.x_shape, dtype=config.x_dtype) result = tf.zeros_like(input=data) self.feed_list = [data] self.fetch_list = [result] if __name__ == '__main__': test_main(PDZerosLike(), TFZerosLike(), config=APIConfig("zeros_like"))

[ "noreply@github.com" ]

PaddlePaddle.noreply@github.com