xszheng2020/the_stack_dedup_python_hits_1 · Datasets at Hugging Face

890a303490f0d4c10fdac1554b0797ec1d40e603

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py

Python

signuplogin/views.py

xflows/textflows

7fd99cebe29bcb25ea21b8bfb7dca2d0b663ea2b

[ "MIT" ]

18

2015-07-29T07:14:41.000Z

2021-05-31T16:10:49.000Z

signuplogin/views.py

xflows/textflows

7fd99cebe29bcb25ea21b8bfb7dca2d0b663ea2b

[ "MIT" ]

null

signuplogin/views.py

xflows/textflows

7fd99cebe29bcb25ea21b8bfb7dca2d0b663ea2b

[ "MIT" ]

8

2016-02-05T10:13:40.000Z

2020-11-10T14:36:31.000Z

from django.contrib.auth.models import User from django.contrib.auth import authenticate, login, logout from django.shortcuts import render, get_object_or_404, redirect from django.utils import timezone def signuplogin(request): if request.method == 'POST': if request.POST.get('login'): uname = request.POST['username'] passw = request.POST['password'] user = authenticate(username=uname, password=passw) if user is not None: login(request, user) if not request.POST.get('remember', None): request.session.set_expiry(0) return ajaxresponse(request, 'OK') else: return ajaxresponse(request, 'ERR') elif request.POST.get('register'): uname = request.POST['rusername'] passw = request.POST['rpassword'] rpass = request.POST['repeat_password'] mail = request.POST['email'] try: tuser = User.objects.get(username__exact=uname) except User.DoesNotExist: tuser = None if User.objects.filter(email=mail).count()>0: return ajaxresponse(request, 'MAILTAKEN') if tuser is not None: return ajaxresponse(request, 'TAKEN') else: new_user = User.objects.create_user(uname, mail, passw, last_login = timezone.now() ) user = authenticate(username=uname, password=passw) login(request, user) return ajaxresponse(request, 'OK') else: return render(request, 'signuplogin/signuplogin.html') def ajaxresponse(request, txt): return render(request, 'signuplogin/ajaxresponse.html', {'response':txt})

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890a660bfe2a29351888f55b1a581b8fa290f798

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py

Python

calculate_gc.py

kaclark/DHS_intergenic_analysis

5ae1dc1c257ae9dc0e001e07402bebd8e31f0f60

[ "MIT" ]

null

calculate_gc.py

kaclark/DHS_intergenic_analysis

5ae1dc1c257ae9dc0e001e07402bebd8e31f0f60

[ "MIT" ]

null

calculate_gc.py

kaclark/DHS_intergenic_analysis

5ae1dc1c257ae9dc0e001e07402bebd8e31f0f60

[ "MIT" ]

null

#Calculates length and GC content of DHSs sites from fasta files #DHS_#_intergenic.fa generated from bedtools getfasta using original DHS files filtered for only intergenic regions #Exports DHS_#_gc.csv #Exports DHS_#_lengths.csv from Bio import SeqIO import csv #DhS files files = ['1','2','4','8'] for entry in files: length = [] gc_content = [] group = [] ids = [] #Load fasta file for record in SeqIO.parse("data/mm10_data/DHSs_" + entry + "_intergenic.fa", "fasta"): seq = str(record.seq) seq_len = len(seq) #count occurences of g and c in lowercase and capital forms gs = seq.count('g') cgs = seq.count('G') cs = seq.count('c') ccs = seq.count('C') #total base counts total = gs + cs + cgs + ccs gc_con = float(total)/seq_len gc_content.append(gc_con) length.append(seq_len) ids.append(record.id) with open('data/mm10_data/DHS_'+ entry + '_lengths.csv', mode='w') as data: data_writer = csv.writer(data, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL) #Add row with DHS id and sequence length for x in range(len(gc_content)): data_writer.writerow([ids[x], length[x]]) with open('data/mm10_data/DHS_'+ entry + '_gc.csv', mode='w') as data: data_writer = csv.writer(data, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL) #Add row with DHS id and GC content for x in range(len(gc_content)): data_writer.writerow([ids[x], gc_content[x]])

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py

Python

imdb/migrations/0004_auto_20200318_1539.py

raviteja1766/modern-resume-theme

59b2cf57f0a1308f8d6650ca47318e8bd32e6bea

[ "MIT" ]

1

2020-01-09T10:37:07.000Z

imdb/migrations/0004_auto_20200318_1539.py

raviteja1766/modern-resume-theme

59b2cf57f0a1308f8d6650ca47318e8bd32e6bea

[ "MIT" ]

null

imdb/migrations/0004_auto_20200318_1539.py

raviteja1766/modern-resume-theme

59b2cf57f0a1308f8d6650ca47318e8bd32e6bea

[ "MIT" ]

null

# Generated by Django 3.0.4 on 2020-03-18 15:39 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('imdb', '0003_remove_cast_is_debut_movie'), ] operations = [ migrations.AlterField( model_name='movie', name='director', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to='imdb.Director'), ), ]

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py

Python

fundamentals/15-advance-objects-and-data-structures/5-advance-lists.py

davidokun/Python

0172e4c6669dc0bdb1beab762948f0ade248bde0

[ "MIT" ]

null

fundamentals/15-advance-objects-and-data-structures/5-advance-lists.py

davidokun/Python

0172e4c6669dc0bdb1beab762948f0ade248bde0

[ "MIT" ]

null

fundamentals/15-advance-objects-and-data-structures/5-advance-lists.py

davidokun/Python

0172e4c6669dc0bdb1beab762948f0ade248bde0

[ "MIT" ]

null

# Advance Lists my_list = [1, 2, 3] # Add element print('\n# Add element\n') my_list.append(4) my_list.append(4) print(my_list) # Count element's occurrences print('\n# Count element\'s occurrences\n') print(f'2 = {my_list.count(2)}') print(f'4 = {my_list.count(4)}') print(f'5 = {my_list.count(5)}') # Extend print('\n# Extend\n') x = [1, 2, 3] x.append([4, 5]) print(f'Use append = {x}') x = [1, 2, 3] x.extend([4, 5]) print(f'Use Extend = {x}') # Index print('\n# Index\n') print(f'List = {my_list}') print(f'Index of 2 = {my_list.index(2)}') print(f'Index of 4 = {my_list.index(4)}') # Insert print('\n# Insert\n') print(f'List = {my_list}') my_list.insert(2, 'Inserted') print(f'After insert in pos 2 = {my_list}')

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py

Python

examples/parse_by_sol.py

sluzhynskyi/nasa

4f961d3614e3539447348ff512c318fbf43ce29b

[ "MIT" ]

4

2019-08-22T06:48:55.000Z

2021-07-26T12:20:26.000Z

examples/parse_by_sol.py

sluzhynskyi/nasa

4f961d3614e3539447348ff512c318fbf43ce29b

[ "MIT" ]

3

2019-03-06T20:22:56.000Z

2021-06-01T23:46:15.000Z

examples/parse_by_sol.py

sluzhynskyi/nasa

4f961d3614e3539447348ff512c318fbf43ce29b

[ "MIT" ]

1

2019-08-17T06:20:10.000Z

import json import urllib.request import pprint import webbrowser URL = "https://mars.jpl.nasa.gov/msl-raw-images/image/images_sol2320.json" jsonFILE = json.loads(urllib.request.urlopen(URL).read()) #pprint.pprint(jsonFILE) camera = jsonFILE['images'][0]['cameraModelType'] sol = jsonFILE['images'][0]['sol'] link = jsonFILE['images'][0]['urlList'] print('Camera type: {0}, Sol #{1}'.format(camera, sol)) webbrowser.open(link)

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py

Python

tcpreq/tcp/options.py

TheJokr/tcpreq

270c133a94a9d1210978fb884ac7c9516e68f6a1

[ "MIT" ]

18

2020-04-03T15:00:46.000Z

2021-12-10T10:19:32.000Z

tcpreq/tcp/options.py

TheJokr/tcpreq

270c133a94a9d1210978fb884ac7c9516e68f6a1

[ "MIT" ]

null

tcpreq/tcp/options.py

TheJokr/tcpreq

270c133a94a9d1210978fb884ac7c9516e68f6a1

[ "MIT" ]

1

2020-07-04T12:53:22.000Z

from typing import TypeVar, Type, Dict, Union, Generator # Options are immutable class BaseOption(object): """Common base class for all options.""" __slots__ = ("_raw",) def __init__(self, data: bytes) -> None: self._raw = data def __len__(self) -> int: return len(self._raw) def __bytes__(self) -> bytes: return self._raw def __eq__(self, other: object) -> bool: if not isinstance(other, BaseOption): return NotImplemented return self._raw == other._raw def __hash__(self) -> int: return self._raw.__hash__() def hex(self) -> str: return self._raw.hex() class _LegacyOption(BaseOption): """Class for the two option kinds without a length octet.""" __slots__ = () def __init__(self, kind: int) -> None: super(_LegacyOption, self).__init__(kind.to_bytes(1, "big")) # Contrary to SizedOption, _LegacyOption instances are singletons. # Therefore its from_bytes method is to be called directly on the instances. def from_bytes(self, data: bytearray) -> "_LegacyOption": if len(data) < 1: raise ValueError("Data too short") del data[0] return self end_of_options = _LegacyOption(0) noop = _LegacyOption(1) _T = TypeVar("_T", bound="SizedOption") class SizedOption(BaseOption): """Base class for all option kinds with a length octet.""" __slots__ = () def __init__(self, kind: int, payload: bytes) -> None: opt_head = bytes((kind, 2 + len(payload))) super(SizedOption, self).__init__(opt_head + payload) @classmethod def from_bytes(cls: Type[_T], data: bytearray) -> _T: if len(data) < 2: raise ValueError("Data too short") elif data[1] < 2 or data[1] > len(data): raise ValueError("Illegal option length") length = data[1] res = cls.__new__(cls) # type: _T res._raw = bytes(data[:length]) del data[:length] return res @property def size(self) -> int: return self._raw[1] @property def payload(self) -> bytes: return self._raw[2:] class MSSOption(SizedOption): """SizedOption to negotiate the connection's maximum segment size (MSS).""" __slots__ = () def __init__(self, mss: int) -> None: super(MSSOption, self).__init__(2, mss.to_bytes(2, "big")) @classmethod def from_bytes(cls: Type[_T], data: bytearray) -> _T: res: _T = super(MSSOption, cls).from_bytes(data) # type: ignore if res.size != 4: raise ValueError("Illegal option length") return res @property def mss(self) -> int: return int.from_bytes(self._raw[2:4], "big") # mypy currently doesn't support function attributes # See https://github.com/python/mypy/issues/2087 _PARSE_KIND_TBL: Dict[int, Union[_LegacyOption, Type[SizedOption]]] = { 0: end_of_options, 1: noop, 2: MSSOption } def parse_options(data: bytearray) -> Generator[BaseOption, None, None]: """Parse header options based on their kind. Default to SizedOption.""" while data: kind = data[0] opt = _PARSE_KIND_TBL.get(kind, SizedOption).from_bytes(data) yield opt if opt is end_of_options: return

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py

Python

inter_graph_2.py

fernandorazon/blmsat

37b2c81d7d7760fb4a76e819fb386ac9184d54f6

[ "MIT" ]

null

inter_graph_2.py

fernandorazon/blmsat

37b2c81d7d7760fb4a76e819fb386ac9184d54f6

[ "MIT" ]

null

inter_graph_2.py

fernandorazon/blmsat

37b2c81d7d7760fb4a76e819fb386ac9184d54f6

[ "MIT" ]

null

#Adicionalmente, para poder tratar a nuestra ventana como un objeto con sus atributos como los deseamos #Se puede declarar una clase heredera de la clase tk con los atributos deseados from tkinter import * from tkinter import ttk from cansat import testLogLineString from getBalamsatData import aceleracion as ac #Hago los datos de ac presentables correctamente acdata = [] for i, line in enumerate(ac,0): acdata.append(str(ac[0])+' '+str(ac[1])+' 'str(ac[2])+'\n') #import cansat class Ventana(): def __init__(self): root = Tk() #Esta es la instancia de una ventana #root.geometry('500x500') #Este atributo define el tamaño de la ventana root.title('Balamsat') #Este atributo define el titulo de la ventana #Agrego un label con los datos obtenidos de la aceleracion T = Label(root, text = acdata) T.pack(side = LEFT) #ttk.Button(root,text = 'Imprimir', command = root.destroy).pack() #Agrego una tabla de aceleracion root.mainloop() #Se puede definir a la funcion main como la forma de instanciar una ventana personalizada cuando se inicia la aplicacion def main(): mi_app = Ventana() return 0 #El atributo __name__ nos da acceso al nombre de un modulo, y permite a python conocer si un modulo es importado o no if __name__ == '__main__': main()

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Python

example/cbs_example.py

bulletRush/QCloud_yunapi_wrapper

e8510c1891628de1ef48d9cba6ed070e200ba66c

[ "Apache-2.0" ]

null

example/cbs_example.py

bulletRush/QCloud_yunapi_wrapper

e8510c1891628de1ef48d9cba6ed070e200ba66c

[ "Apache-2.0" ]

null

example/cbs_example.py

bulletRush/QCloud_yunapi_wrapper

e8510c1891628de1ef48d9cba6ed070e200ba66c

[ "Apache-2.0" ]

null

#!/usr/bin/env python import unittest from qcloudsdk import ZoneId, CbsStorageType, Region, get_region_list, RegionConfig from config import engine class CbsTestCase(unittest.TestCase): def setUp(self): print("\n{0} BEGIN TEST: {1} {2}".format('*' * 20, self._testMethodName, '*' * 20)) self.engine = engine.with_region(Region.BJ) def tearDown(self): print("{0} END TEST: {1} {2}\n".format('#' * 20, self._testMethodName, '#' * 20)) def test_create(self): self.engine.debug = False for region in get_region_list(): # type: RegionConfig self.engine.with_region(region.region) for z in region.zone_id_list: print "check:", region.region, z print self.engine.cbs.create_cbs_storages( zoneId=z, goodsNum=1, period=1, storageType=CbsStorageType.SSD, storageSize=50, ) def xtest_resize(self): print self.engine.cbs.resize_cbs_storage(storageId="disk-o3y0ccya", storageSize=270) def xtest_renew(self): print self.engine.cbs.renew_cbs_storage(storageId="disk-4kmc04su", period=1) if __name__ == '__main__': unittest.main()

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py

Python

desafio032.py

marcelocmedeiros/RevisaoPython

04c602bf17e8ab37c9660337a8f8497eb498e10d

[ "MIT" ]

null

desafio032.py

marcelocmedeiros/RevisaoPython

04c602bf17e8ab37c9660337a8f8497eb498e10d

[ "MIT" ]

null

desafio032.py

marcelocmedeiros/RevisaoPython

04c602bf17e8ab37c9660337a8f8497eb498e10d

[ "MIT" ]

null

# Marcelo Campos de Medeiros # ADS UNIFIP # REVISÃO DE PYTHON # AULA 10 CONDIÇÕES GUSTAVO GUANABARA ''' Faça um Programa que leia um ano qualquer e mostre se ele é BISSEXTO. ''' print('='*30) print('{:#^30}'.format(' ANO BISSEXTO ')) print('='*30) print() ano = int(input('Informe o ano: ')) print() # condição para ser bissexto ano % 4 == 0 and ano % 100 != 0 or ano % 400 == 0 if ano % 4 == 0 and ano % 100 != 0 or ano % 400 == 0: print('O ano %d é BISSEXTO!'%ano) else: print('O ano {} NÃO É BISSEXTO!'.format(ano)) print()

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Python

exams/migrations/0008_populate_exam_run.py

Wassaf-Shahzad/micromasters

b1340a8c233499b1d8d22872a6bc1fe7f49fd323

[ "BSD-3-Clause" ]

32

2016-03-25T01:03:13.000Z

2022-01-15T19:35:42.000Z

exams/migrations/0008_populate_exam_run.py

Wassaf-Shahzad/micromasters

b1340a8c233499b1d8d22872a6bc1fe7f49fd323

[ "BSD-3-Clause" ]

4,858

2016-03-03T13:48:30.000Z

2022-03-29T22:09:51.000Z

exams/migrations/0008_populate_exam_run.py

umarmughal824/micromasters

ea92d3bcea9be4601150fc497302ddacc1161622

[ "BSD-3-Clause" ]

20

2016-08-18T22:07:44.000Z

2021-11-15T13:35:35.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.10.5 on 2017-04-24 19:10 from __future__ import unicode_literals from datetime import datetime from django.db import migrations import pytz PILOT_SERIES_CODE = 'PILOT' PILOT_SCHEDULE_START_DATE = datetime(2017, 3, 6, tzinfo=pytz.UTC) PILOT_SCHEDULE_END_DATE = datetime(2017, 3, 30, tzinfo=pytz.UTC) PILOT_ELIGIBILITY_START_DATE = datetime(2017, 3, 18, tzinfo=pytz.UTC) PILOT_ELIGIBILITY_END_DATE = datetime(2017, 3, 31, tzinfo=pytz.UTC) def populate_pilot_runs(apps, schema_editor): """Generate pilot ExamRuns""" ExamRun = apps.get_model('exams', 'ExamRun') ExamAuthorization = apps.get_model('exams', 'ExamAuthorization') runs_by_course_id = {} for exam_auth in ExamAuthorization.objects.filter(exam_run__isnull=True).iterator(): if exam_auth.course_id not in runs_by_course_id: runs_by_course_id[exam_auth.course_id] = ExamRun.objects.create( course=exam_auth.course, exam_series_code=PILOT_SERIES_CODE, date_first_schedulable=PILOT_SCHEDULE_START_DATE, date_last_schedulable=PILOT_SCHEDULE_END_DATE, date_first_eligible=PILOT_ELIGIBILITY_START_DATE, date_last_eligible=PILOT_ELIGIBILITY_END_DATE, ) exam_auth.exam_run = runs_by_course_id[exam_auth.course_id] exam_auth.save(update_fields=('exam_run',)) class Migration(migrations.Migration): dependencies = [ ('exams', '0007_add_exam_run'), ] operations = [ migrations.RunPython(populate_pilot_runs, migrations.RunPython.noop) ]

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6,437

py

Python

test_meeus.py

mcoatanhay/meeuscalc

707f7332944220330d4fc7608e7cba928a0b60db

[ "MIT" ]

null

test_meeus.py

mcoatanhay/meeuscalc

707f7332944220330d4fc7608e7cba928a0b60db

[ "MIT" ]

null

test_meeus.py

mcoatanhay/meeuscalc

707f7332944220330d4fc7608e7cba928a0b60db

[ "MIT" ]

null

#!/usr/bin/python3 # -*- coding: utf-8 -*- # Fichier: test_meeus.py # Auteur: Marc COATANHAY """ Tests pour le module meeus. """ # Import des modules try: import mes_modules_path except: pass from meeus import * import incertitudes.incert as incert import unittest # Définitions constantes et variables globales # Définitions fonctions et classes class MeeusTest(unittest.TestCase): def test_avantjj0(self): self.assertFalse(avantjj0(-4712, 1, 1.5)) self.assertTrue(avantjj0(-4712, 1, 1)) # self.assertRaises(avantjj0,[]) def test_coordonnees_moyennes(self): afficher_calculs = False RA = (incert.i(10) + incert.i(9)/60 + incert.i("32.5")/3600)*15 DE = incert.i(11) + incert.i(51)/60 + incert.i("33")/3600 reponses = {'RAf (°)': RA, 'DEf (°)': DE} resultat = coordonnees_moyennes(3982, 2022.0) if afficher_calculs: print() print("************************************") print("* test_coordonnees_moyennes *") print("************************************") for ligne in resultat['calculs']: print(ligne) print('RAf (h) :', incert.tosexag(resultat['RAf (°)']/15)) print('DEf (°) :', incert.tosexag(resultat['DEf (°)'])) del resultat['calculs'] self.assertEqual(resultat, reponses) def test_coordonnees_moyennes_rigoureuses(self): afficher_calculs = False RA = (incert.i(10) + incert.i(9)/60 + incert.i("32.48")/3600)*15 DE = incert.i(11) + incert.i(51)/60 + incert.i("31.9")/3600 reponses = {'RAf (°)': RA, 'DEf (°)': DE} resultat = coordonnees_moyennes_rigoureuses(3982, 2022.0) if afficher_calculs: print() print("*****************************************") print("* test_coordonnees_moyennes rigoureuses *") print("*****************************************") for ligne in resultat['calculs']: print(ligne) print('RAf (h) :', incert.tosexag(resultat['RAf (°)']/15)) print('DEf (°) :', incert.tosexag(resultat['DEf (°)'])) del resultat['calculs'] self.assertEqual(resultat, reponses) def test_coordonnees_moyennes2(self): afficher_calculs = False RA = (incert.i(10) + incert.i(9)/60 + incert.i("32.48")/3600)*15 DE = incert.i(11) + incert.i(51)/60 + incert.i("31.9")/3600 reponses = {'RAf (°)': RA, 'DEf (°)': DE} resultat = coordonnees_moyennes2(3982,2022.0) if afficher_calculs: print() print("************************************") print("* test_coordonnees_moyennes2 *") print("************************************") for ligne in resultat['calculs']: print(ligne) print('RAf (h) :', incert.tosexag(resultat['RAf (°)']/15)) print('DEf (°) :', incert.tosexag(resultat['DEf (°)'])) del resultat['calculs'] self.assertEqual(resultat, reponses) def test_coordonnees_moyennes3(self): afficher_calculs = False RA = (incert.i(10) + incert.i(9)/60 + incert.i("32.47")/3600)*15 DE = incert.i(11) + incert.i(51)/60 + incert.i("31.9")/3600 reponses = {'RAf (°)': RA, 'DEf (°)': DE} resultat = coordonnees_moyennes3(3982,2022.0) if afficher_calculs: print() print("*************************************") print("* test_coordonnees_moyennes3 *") print("*************************************") for ligne in resultat['calculs']: print(ligne) print('RAf (h) :', incert.tosexag(resultat['RAf (°)']/15)) print('DEf (°) :', incert.tosexag(resultat['DEf (°)'])) del resultat['calculs'] # self.assertEqual(resultat, reponses) def test_coordonnnes_moyennes_comparaisons(self): afficher_calculs = False resultats = [] resultats.append(coordonnees_moyennes(3982,2022.0)) resultats.append(coordonnees_moyennes_rigoureuses(3982,2022.0)) resultats.append(coordonnees_moyennes2(3982,2022.0)) resultats.append(coordonnees_moyennes3(3982,2022.0)) if afficher_calculs: print() print("**************************************") print("* test_coordonnees_moyennes_synthèse *") print("**************************************") for resultat in resultats: RAfh = incert.tosexag(resultat['RAf (°)']/15) print(RAfh.valeur, format((RAfh.incert*3).s, '>10.3f')) for resultat in resultats: DEfd = incert.tosexag(resultat['DEf (°)']) print(DEfd.valeur, format((DEfd.incert*3).s, '>10.3f')) for i in range(0, 4): del resultats[i]['calculs'] if i > 0: self.assertEqual(resultats[0], resultats[i]) def test_parametres_precession(self): afficher_calculs = False reponses = [ {'m_alpha (s)': 3.071, 'n_alpha (s)': 1.337, 'n_delta (")': 20.06}, {'m_alpha (s)': 3.073, 'n_alpha (s)': 1.337, 'n_delta (")': 20.05}, {'m_alpha (s)': 3.075, 'n_alpha (s)': 1.336, 'n_delta (")': 20.04}, {'m_alpha (s)': 3.077, 'n_alpha (s)': 1.336, 'n_delta (")': 20.03}, {'m_alpha (s)': 3.079, 'n_alpha (s)': 1.335, 'n_delta (")': 20.03}] resultat = [] if afficher_calculs: print() print("**************************************") print("* test_parametres_precession *") print("**************************************") for i in range(-2, 3): parametres_i = parametres_precession(incert.i(i)) resultat.append(parametres_i) if afficher_calculs: print('----------- siècle :', 2000 + 100*i) print('m_alpha (s) :', parametres_i['m_alpha (s)']) print('n_alpha (s) :', parametres_i['n_alpha (s)']) print('n_delta (") :', parametres_i['n_delta (")']) self.assertEqual(reponses, resultat) if (__name__ == "__main__"): unittest.main()

43.493243

76

0.495262

689

6,437

4.531205

0.185776

0.056054

0.067265

0.049327

0.623639

0.60378

0.554452

0.532671

0.508328

0

0.065217

0.285381

6,437

148

77

43.493243

0.608478

0.038838

0

0.52

0

0.208445

0.10247

0

0.056

0

null

0.008

0.032

null

0.336

0

null

0

null

0

1

0

1

8f103ba566459ea07e70a5039f59dd82746a1559

684

py

Python

Medium/264. Ugly Number II/solution (1).py

czs108/LeetCode-Solutions

889f5b6a573769ad077a6283c058ed925d52c9ec

[ "MIT" ]

3

2020-05-09T12:55:09.000Z

2022-03-11T18:56:05.000Z

Medium/264. Ugly Number II/solution (1).py

czs108/LeetCode-Solutions

889f5b6a573769ad077a6283c058ed925d52c9ec

[ "MIT" ]

null

Medium/264. Ugly Number II/solution (1).py

czs108/LeetCode-Solutions

889f5b6a573769ad077a6283c058ed925d52c9ec

[ "MIT" ]

1

2022-03-11T18:56:16.000Z

# 264. Ugly Number II # Runtime: 173 ms, faster than 54.94% of Python3 online submissions for Ugly Number II. # Memory Usage: 14.2 MB, less than 73.79% of Python3 online submissions for Ugly Number II. class Solution: # Three Pointers def nthUglyNumber(self, n: int) -> int: nums = [1] p2, p3, p5 = 0, 0, 0 for _ in range(1, n): n2 = 2 * nums[p2] n3 = 3 * nums[p3] n5 = 5 * nums[p5] nums.append(min(n2, n3, n5)) if nums[-1] == n2: p2 += 1 if nums[-1] == n3: p3 += 1 if nums[-1] == n5: p5 += 1 return nums[-1]

28.5

91

0.473684

98

684

3.295918

0.510204

0.077399

0.111455

0.160991

0.25387

0

0.128079

0.406433

684

24

92

28.5

0.667488

0.307018

0

1

0.0625

false

0

0.1875

0

null

0

1

0

null

0

1

8f12a3e97e343d879a1bf557daf38e1570274bd0

22,069

py

Python

bench/dash.py

mlcgp/bench

c2f2fb31db4c76f98037e3e3e5be952547c00141

[ "MIT" ]

null

bench/dash.py

mlcgp/bench

c2f2fb31db4c76f98037e3e3e5be952547c00141

[ "MIT" ]

null

bench/dash.py

mlcgp/bench

c2f2fb31db4c76f98037e3e3e5be952547c00141

[ "MIT" ]

null

import pandas as pd import dash import os import base64 from inflection import humanize from pathlib import Path from sqlalchemy import create_engine, select, Table, MetaData from sqlalchemy.orm import Session from dash import dcc, html, Input, Output from dash.exceptions import PreventUpdate import dash_bootstrap_components as dbc import plotly.express as px import plotly.graph_objects as go class Frame: def __init__(self): self.host = os.getenv("BENCH_DB_HOST") self.port = os.getenv("BENCH_DB_PORT") self.user = os.getenv("BENCH_DB_USER") self.dbname = os.getenv("BENCH_DB_NAME") self.password = os.getenv("BENCH_DB_PASSWORD") def engine(self): engine = create_engine( f"postgresql://{self.user}:{self.password}@{self.host}:{self.port}/{self.dbname}" ) return engine def dataframe(self): connection = self.engine().connect() metadata = MetaData() metrics = Table("metrics", metadata, autoload_with=self.engine()) stock = Table("stock", metadata, autoload_with=self.engine()) query = select([stock, metrics]).join( stock, stock.columns.id == metrics.columns.stock_id ) result = (connection.execute(query)).fetchall() raw_df = pd.DataFrame(result) raw_df.columns = result[0].keys() cols = [humanize(col) for col in list(raw_df.columns)] df = pd.DataFrame(result) df.columns = cols df.drop( ["Id", "Last updated", "Id 1", "Stock", "Period key"], axis=1, inplace=True ) return df class DashApp: def __init__(self, data, port=8050): self.data = data self.port = port def run(self, df): app = dash.Dash(external_stylesheets=[dbc.themes.ZEPHYR]) app.title = "Bench" logo = str(Path("bench/assets/banner.png").resolve()) encoded_image = base64.b64encode(open(logo, "rb").read()) companies = list(df["Company"].unique()) tickers = list(df["Symbol"].unique()) company_list = dict(zip(companies, tickers)) metrics_list = list(df.loc[:, "Gross margin":"Cash conversion cycle"].columns) year_list = sorted(list(df["Filing year"].unique())) quarter_list = sorted(list(df["Filing quarter"].unique())) stock_dropdown = [ dbc.Row( [ dbc.Label("Symbol"), dcc.Dropdown( id="ticker-dropdown", options=[ {"label": k, "value": company_list[k]} for k in company_list ], multi=True, ), ], className="mb-3", ), dbc.Row( [ dbc.Label("Period"), dcc.Dropdown( id="period-dropdown", options=[ {"label": "Annual", "value": "annual"}, {"label": "Quarterly", "value": "quarterly"}, ], ), ], className="mb-3", ), ] benchmark = [ dbc.Row( [ dbc.Col( [ dbc.Row( [ dbc.Col([dbc.Label("Previous")]), ] ), dbc.Row( [ dbc.Col( [ dbc.Label("Year"), dcc.Dropdown( id="previous-year", options=[ {"label": val, "value": val} for val in year_list ], placeholder="Year", style={ "font-size": "9px", "width": "105%", }, ), ], className="mb-3", ), dbc.Col( [ dbc.Label("Quarter"), dcc.Dropdown( id="previous-quarter", options=[ { "label": val, "value": val, } for val in quarter_list ], placeholder="Q", style={ "font-size": "9px", "width": "40%", }, ), ], className="mb-3", ), ] ), ] ), dbc.Col( [ dbc.Row( [ dbc.Col([dbc.Label("Current")]), ] ), dbc.Row( [ dbc.Col( [ dbc.Label("Year"), dcc.Dropdown( id="current-year", options=[ {"label": val, "value": val} for val in year_list ], placeholder="Year", style={ "font-size": "9px", "width": "105%", }, ), ], className="mb-3", ), dbc.Col( [ dbc.Label("Quarter"), dcc.Dropdown( id="current-quarter", options=[ { "label": val, "value": val, } for val in quarter_list ], placeholder="Q", style={ "font-size": "9px", "width": "40%", }, ), ], className="mb-3", ), ] ), ] ), ] ) ] metrics_dropdown = [ dbc.Row( [ dcc.Dropdown( id="metrics-dropdown", options=[{"label": val, "value": val} for val in metrics_list], ), ], className="mb-3", ), ] app.layout = dbc.Container( [ dbc.Row( [ dbc.Row( [ dbc.Col( [ html.Img( src="data:image/png;base64,{}".format( encoded_image.decode() ), style={ "width": "30%", "float": "left", }, ) ], width=True, ) ], align="end", ), html.Hr(), dbc.Col( [ dbc.Row( [ dbc.Col( width=100, children=dbc.Card( [ dbc.CardHeader("Parameters"), dbc.CardBody(stock_dropdown), ], style={ "class": "card border-light mb-3" }, ), ) ], className="mb-3", ), dbc.Row( [ dbc.Col( width=100, children=dbc.Card( [ dbc.CardHeader("Benchmark"), dbc.CardBody(benchmark), ], style={ "class": "card border-light mb-3" }, ), ) ], className="mb-3", ), dbc.Row( [ dbc.Col( width=100, children=dbc.Card( [ dbc.CardHeader("Metrics"), dbc.CardBody(metrics_dropdown), ], style={ "class": "card border-light mb-3" }, ), ) ], className="mb-3", ), ], className="col-4", ), dbc.Col( [ dbc.Row( [ html.Div( id="graph-container", children=[ dcc.Graph( id="bench-scatterplot", style={ "position": "center", "width": "100%", "height": "100%", }, config={"displayLogo": "False"}, responsive=True, ) ], style={ "class": "mb-3", "height": "80%", "position": "center", }, ), html.Div( id="alert-container", children=[ dbc.Alert( "Select values to display the chart.", color="warning", style={ "color": "#856404", "background-color": "#fff3cd", "border-color": "#ffeeba", }, ) ], ), ], style={"class": "mb-3", "height": "100%"}, ) ], className="col-8", ), ], ) ], fluid=True, ) @app.callback( Output("previous-quarter", "disabled"), Output("current-quarter", "disabled"), Input("period-dropdown", "value"), ) def disable_quarterly(value): if value == "annual": return [True, True] return [False, False] @app.callback( Output("graph-container", "style"), Output("alert-container", "style"), Input("ticker-dropdown", "value"), Input("period-dropdown", "value"), Input("previous-year", "value"), Input("previous-quarter", "value"), Input("current-year", "value"), Input("current-quarter", "value"), Input("metrics-dropdown", "value"), ) def hide_containers( ticker_input, period_input, previous_year_input, previous_quarter_input, current_year_input, current_quarter_input, metrics_input, ): if period_input == "annual": if all( [ ticker_input, any([previous_year_input, current_year_input]), metrics_input, ] ): return {"display": "block"}, {"display": "none"} else: return {"display": "none"}, {"display": "block"} elif period_input == "quarterly": if all( [ ticker_input, previous_year_input, previous_quarter_input, current_year_input, current_quarter_input, metrics_input, ] ): return {"display": "block"}, {"display": "none"} else: return {"display": "none"}, {"display": "block"} else: return {"display": "none"}, {"display": "block"} @app.callback( Output("bench-scatterplot", "figure"), Input("ticker-dropdown", "value"), Input("period-dropdown", "value"), Input("previous-year", "value"), Input("previous-quarter", "value"), Input("current-year", "value"), Input("current-quarter", "value"), Input("metrics-dropdown", "value"), ) def update_figure( tickers, period, previous_year, previous_quarter, current_year, current_quarter, metric, ): if not all([tickers, metric, period]): raise PreventUpdate else: dff = df[df["Symbol"].isin(tickers)] if period == "quarterly": dfff_curr = dff[ (dff["Period type"] == period) & (dff["Filing year"] == current_year) & (dff["Filing quarter"] == current_quarter) ] dfff_prev = dff[ (dff["Period type"] == period) & (dff["Filing year"] == previous_year) & (dff["Filing quarter"] == previous_quarter) ] else: dfff_curr = dff[ (dff["Period type"] == period) & (dff["Filing year"] == current_year) ] dfff_prev = dff[ (dff["Period type"] == period) & (dff["Filing year"] == previous_year) ] metric_filter = f"{metric}" colors = [ "#323A59", "#4F5B8C", "#778DAA", "#9C7975", "#33121B", "#690B14", "#DA3626", "#E65F25", "#F38D20", "#FDB913", ] fig = px.scatter( dfff_curr, y=metric_filter, color="Symbol", color_discrete_sequence=colors, hover_data=[ "Symbol", "Filing year", ], ).update_traces( legendgroup="symbol", legendgrouptitle_text="", hovertemplate="%{customdata[0]} Year: %{customdata[1]} %{y:.1f}", ) fig2 = go.Figure( fig.add_traces( ( px.scatter( dfff_prev, y=metric_filter, color="Symbol", color_discrete_sequence=colors, hover_data=[ "Symbol", "Filing year", ], ).update_traces( marker={"symbol": "circle-open"}, hovertemplate="%{customdata[0]} Year: %{customdata[1]} %{y:.1f}", ) )._data ) ) fig.update_layout( { "plot_bgcolor": "rgba(0,0,0,0)", "paper_bgcolor": "rgba(0,0,0,0)", "xaxis": dict(visible=False), } ) fig.update_traces(marker={"size": 12}) fig.update_xaxes( showspikes=True, spikethickness=1, spikesnap="cursor", spikemode="across", ) fig.update_yaxes( showspikes=True, spikethickness=1, spikemode="across", spikesnap="cursor", ) return fig app.run_server(port=self.port)

41.561205

103

0.259006

1,128

22,069

4.964539

0.233156

0.008036

0.019286

0.404286

0.377857

0.361786

0.346964

0

0.017803

0.656396

22,069

530

104

41.639623

0.720691

0

0.491054

0

0.001988

0.095156

0.010467

0

1

0.015905

false

0.003976

0.025845

0

0.065606

0

null

0

1

0

null

0

1

8f176f2b9ecbfc54e76e27799f6b813572d7f17c

555

py

Python

schema/views.py

leVirve-arxiv/OuO

9a6a1ef50e6aeef8d0b84d1a1a377e5f19050ac2

[ "MIT" ]

null

schema/views.py

leVirve-arxiv/OuO

9a6a1ef50e6aeef8d0b84d1a1a377e5f19050ac2

[ "MIT" ]

null

schema/views.py

leVirve-arxiv/OuO

9a6a1ef50e6aeef8d0b84d1a1a377e5f19050ac2

[ "MIT" ]

null

from schema.models import Member from django.shortcuts import render def save_userdata(backend, user, response, *args, **kwargs): if backend.name == 'facebook': try: profile = Member.objects.get(user_id=user.id) except Member.DoesNotExist: profile = Member(user_id=user.id) profile.uuid = response.get('id') profile.name = response.get('name') profile.save() def index(request): return render(request, 'index.html') def login(request): return render(request, 'index.html')

25.227273

60

0.65045

68

555

5.264706

0.470588

0.067039

0.055866

0.067039

0.195531

0

0.227027

555

21

61

26.428571

0.834499

0

0.133333

0

0.061261

0

1

0.2

false

0

0.133333

0.466667

0

null

0

null

0

1

0

1

8f1cde6246d9ccea2e294e7fd4abb9c033eccaa5

352

py

Python

pymajorme/helpers/constraints.py

danielkupco/PyMaJORME

0cc0f5d98b32524474cf05919d3fccb3926393b2

[ "MIT" ]

1

2016-03-01T16:32:19.000Z

pymajorme/helpers/constraints.py

danielkupco/PyMaJORME

0cc0f5d98b32524474cf05919d3fccb3926393b2

[ "MIT" ]

11

2016-02-01T14:22:08.000Z

2016-02-23T22:58:17.000Z

pymajorme/helpers/constraints.py

danielkupco/PyMaJORME

0cc0f5d98b32524474cf05919d3fccb3926393b2

[ "MIT" ]

null

class Constraints(object): ''' Contains all of the primary and foreign key constraint names for the given entity as tuples of entities and relations which are part of constraints ''' def __init__(self, pk_constraints, fk_constraints): self.pk_constraints = pk_constraints self.fk_constraints = fk_constraints

32

62

0.715909

45

352

5.377778

0.622222

0.161157

0.140496

0

0.232955

352

10

63

35.2

0.896296

0.417614

0

1

0.25

false

0

0.5

0

null

0

null

0

1

0

1

8f3522751074b59b6cbb9d1db44c15311f2cfb48

3,863

py

Python

.install/.backup/platform/gcutil/lib/google_compute_engine/gcutil_lib/windows_password_test.py

bopopescu/google-cloud-sdk

b34e6a18f1e89673508166acce816111c3421e4b

[ "Apache-2.0" ]

null

.install/.backup/platform/gcutil/lib/google_compute_engine/gcutil_lib/windows_password_test.py

bopopescu/google-cloud-sdk

b34e6a18f1e89673508166acce816111c3421e4b

[ "Apache-2.0" ]

null

.install/.backup/platform/gcutil/lib/google_compute_engine/gcutil_lib/windows_password_test.py

bopopescu/google-cloud-sdk

b34e6a18f1e89673508166acce816111c3421e4b

[ "Apache-2.0" ]

1

2020-07-24T20:04:47.000Z

# Copyright 2012 Google Inc. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # 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. """Unit tests for the windows_password module.""" import path_initializer path_initializer.InitSysPath() import re import unittest from gcutil_lib import gcutil_errors from gcutil_lib import mock_get_pass from gcutil_lib import windows_password class WindowsPasswordTest(unittest.TestCase): def testGetPasswordMismatch(self): num_getpass_calls = [0] mismatch_round = 2 strong_password = '!password1' def _GetPassMismatch(_): num_getpass_calls[0] += 1 if (num_getpass_calls[0] - 1) // 2 < mismatch_round: return 'password0' if num_getpass_calls[0] % 2 == 0 else 'password1' else: return strong_password with mock_get_pass.MockGetPass(_GetPassMismatch): password = windows_password.GetPassword('type password') self.assertEquals(strong_password, password) self.assertEquals((mismatch_round + 1) * 2, num_getpass_calls[0]) num_getpass_calls = [0] mismatch_round = 3 with mock_get_pass.MockGetPass(_GetPassMismatch): self._AssertGetPasswordErrorMessageMatchesPattern( 'Passwords do not match') def testGetPasswordWeakPassword(self): weak_round = 2 num_getpass_calls = [0] strong_password = '!password1' def _GetPassWeakPassword(_): num_getpass_calls[0] += 1 if (num_getpass_calls[0] - 1) // 2 < weak_round: return 'weak_password' else: return strong_password with mock_get_pass.MockGetPass(_GetPassWeakPassword): password = windows_password.GetPassword('type password') self.assertEquals(strong_password, password) self.assertEquals((weak_round + 1) * 2, num_getpass_calls[0]) num_getpass_calls = [0] weak_round = 3 with mock_get_pass.MockGetPass(_GetPassWeakPassword): self._AssertGetPasswordErrorMessageMatchesPattern( 'must contain at least 3 types of characters') def _AssertGetPasswordErrorMessageMatchesPattern(self, error_message_pattern): try: windows_password.GetPassword('type password') self.fail('No exception thrown') except gcutil_errors.CommandError as e: self.assertFalse(re.search(error_message_pattern, e.message) is None) def testValidateStrongPasswordRequirement(self): def _AssertErrorMessageMatchesPattern(password, error_message_pattern): try: windows_password.ValidateStrongPasswordRequirement( password) self.fail('No exception thrown') except gcutil_errors.CommandError as e: self.assertFalse(re.search(error_message_pattern, e.message) is None) # Password too short regexp = r'must be at least \d+ characters long' _AssertErrorMessageMatchesPattern('!Ab1234', regexp) # Password does not contain enough categories of chars regexp = 'must contain at least 3 types of characters' _AssertErrorMessageMatchesPattern('a1234567', regexp) _AssertErrorMessageMatchesPattern('Aabcdefg', regexp) _AssertErrorMessageMatchesPattern('!abcdefg', regexp) _AssertErrorMessageMatchesPattern('!1234567', regexp) # Password contains 'gceadmin' account name regexp = 'cannot contain the user account name' _AssertErrorMessageMatchesPattern('Ab1GceAdmin!', regexp) if __name__ == '__main__': unittest.main()

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0.738027

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0.059869

0.063861

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109

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0

null

0

null

0

1

0

1

8f38235907b9eb58f5cbcd6b95c8ecc50d95b91f

309

py

Python

chat/urls.py

Rutujakadam0204/video_conferencing

7c0ea87d16195bc565fc7fd7f389a431a3e47df2

[ "MIT" ]

null

chat/urls.py

Rutujakadam0204/video_conferencing

7c0ea87d16195bc565fc7fd7f389a431a3e47df2

[ "MIT" ]

null

chat/urls.py

Rutujakadam0204/video_conferencing

7c0ea87d16195bc565fc7fd7f389a431a3e47df2

[ "MIT" ]

null

from django.contrib import admin from django.urls import path # from django.contrib.auth.decorators import login_required # from rest_framework.urlpatterns import format_suffix_patterns from . views import * urlpatterns = [ # path('admin/', admin.site.urls), path('', main_view, name='main_view'), ]

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0.757282

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309

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0.536585

0.131579

0.149123

0

0.135922

309

10

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30.9

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0.491909

0

0.059211

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false

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0

0.5

0

null

0

null

0

1

0

1

8f38956818d7d26413d81247226d22c1605a0678

6,153

py

Python

chrome/common/extensions/docs/server2/app_yaml_helper_test.py

iplo/Chain

8bc8943d66285d5258fffc41bed7c840516c4422

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

231

2015-01-08T09:04:44.000Z

2021-12-30T03:03:10.000Z

chrome/common/extensions/docs/server2/app_yaml_helper_test.py

j4ckfrost/android_external_chromium_org

a1a3dad8b08d1fcf6b6b36c267158ed63217c780

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

1

2017-02-14T21:55:58.000Z

chrome/common/extensions/docs/server2/app_yaml_helper_test.py

j4ckfrost/android_external_chromium_org

a1a3dad8b08d1fcf6b6b36c267158ed63217c780

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

268

2015-01-21T05:53:28.000Z

2022-03-25T22:09:01.000Z

#!/usr/bin/env python # Copyright 2013 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. import unittest from app_yaml_helper import AppYamlHelper from extensions_paths import SERVER2 from host_file_system_provider import HostFileSystemProvider from mock_file_system import MockFileSystem from object_store_creator import ObjectStoreCreator from test_file_system import MoveTo, TestFileSystem from test_util import DisableLogging _ExtractVersion, _IsGreater, _GenerateAppYaml = ( AppYamlHelper.ExtractVersion, AppYamlHelper.IsGreater, AppYamlHelper.GenerateAppYaml) class AppYamlHelperTest(unittest.TestCase): def testExtractVersion(self): def run_test(version): self.assertEqual(version, _ExtractVersion(_GenerateAppYaml(version))) run_test('0') run_test('0-0') run_test('0-0-0') run_test('1') run_test('1-0') run_test('1-0-0') run_test('1-0-1') run_test('1-1-0') run_test('1-1-1') run_test('2-0-9') run_test('2-0-12') run_test('2-1') run_test('2-1-0') run_test('2-11-0') run_test('3-1-0') run_test('3-1-3') run_test('3-12-0') def testIsGreater(self): def assert_is_greater(lhs, rhs): self.assertTrue(_IsGreater(lhs, rhs), '%s is not > %s' % (lhs, rhs)) self.assertFalse(_IsGreater(rhs, lhs), '%s should not be > %s' % (rhs, lhs)) assert_is_greater('0-0', '0') assert_is_greater('0-0-0', '0') assert_is_greater('0-0-0', '0-0') assert_is_greater('1', '0') assert_is_greater('1', '0-0') assert_is_greater('1', '0-0-0') assert_is_greater('1-0', '0-0') assert_is_greater('1-0-0-0', '0-0-0') assert_is_greater('2-0-12', '2-0-9') assert_is_greater('2-0-12', '2-0-9-0') assert_is_greater('2-0-12-0', '2-0-9') assert_is_greater('2-0-12-0', '2-0-9-0') assert_is_greater('2-1', '2-0-9') assert_is_greater('2-1', '2-0-12') assert_is_greater('2-1-0', '2-0-9') assert_is_greater('2-1-0', '2-0-12') assert_is_greater('3-1-0', '2-1') assert_is_greater('3-1-0', '2-1-0') assert_is_greater('3-1-0', '2-11-0') assert_is_greater('3-1-3', '3-1-0') assert_is_greater('3-12-0', '3-1-0') assert_is_greater('3-12-0', '3-1-3') assert_is_greater('3-12-0', '3-1-3-0') @DisableLogging('warning') def testInstanceMethods(self): test_data = { 'app.yaml': _GenerateAppYaml('1-0'), 'app_yaml_helper.py': 'Copyright notice etc' } updates = [] # Pass a specific file system at head to the HostFileSystemProvider so that # we know it's always going to be backed by a MockFileSystem. The Provider # may decide to wrap it in caching etc. file_system_at_head = MockFileSystem( TestFileSystem(test_data, relative_to=SERVER2)) def apply_update(update): update = MoveTo(SERVER2, update) file_system_at_head.Update(update) updates.append(update) def host_file_system_constructor(branch, revision=None): self.assertEqual('trunk', branch) self.assertTrue(revision is not None) return MockFileSystem.Create( TestFileSystem(test_data, relative_to=SERVER2), updates[:revision]) object_store_creator = ObjectStoreCreator.ForTest() host_file_system_provider = HostFileSystemProvider( object_store_creator, default_trunk_instance=file_system_at_head, constructor_for_test=host_file_system_constructor) helper = AppYamlHelper(object_store_creator, host_file_system_provider) def assert_is_up_to_date(version): self.assertTrue(helper.IsUpToDate(version), '%s is not up to date' % version) self.assertRaises(ValueError, helper.GetFirstRevisionGreaterThan, version) self.assertEqual(0, helper.GetFirstRevisionGreaterThan('0-5-0')) assert_is_up_to_date('1-0-0') assert_is_up_to_date('1-5-0') # Revision 1. apply_update({ 'app.yaml': _GenerateAppYaml('1-5-0') }) self.assertEqual(0, helper.GetFirstRevisionGreaterThan('0-5-0')) self.assertEqual(1, helper.GetFirstRevisionGreaterThan('1-0-0')) assert_is_up_to_date('1-5-0') assert_is_up_to_date('2-5-0') # Revision 2. apply_update({ 'app_yaml_helper.py': 'fixed a bug' }) self.assertEqual(0, helper.GetFirstRevisionGreaterThan('0-5-0')) self.assertEqual(1, helper.GetFirstRevisionGreaterThan('1-0-0')) assert_is_up_to_date('1-5-0') assert_is_up_to_date('2-5-0') # Revision 3. apply_update({ 'app.yaml': _GenerateAppYaml('1-6-0') }) self.assertEqual(0, helper.GetFirstRevisionGreaterThan('0-5-0')) self.assertEqual(1, helper.GetFirstRevisionGreaterThan('1-0-0')) self.assertEqual(3, helper.GetFirstRevisionGreaterThan('1-5-0')) assert_is_up_to_date('2-5-0') # Revision 4. apply_update({ 'app.yaml': _GenerateAppYaml('1-8-0') }) # Revision 5. apply_update({ 'app.yaml': _GenerateAppYaml('2-0-0') }) # Revision 6. apply_update({ 'app.yaml': _GenerateAppYaml('2-2-0') }) # Revision 7. apply_update({ 'app.yaml': _GenerateAppYaml('2-4-0') }) # Revision 8. apply_update({ 'app.yaml': _GenerateAppYaml('2-6-0') }) self.assertEqual(0, helper.GetFirstRevisionGreaterThan('0-5-0')) self.assertEqual(1, helper.GetFirstRevisionGreaterThan('1-0-0')) self.assertEqual(3, helper.GetFirstRevisionGreaterThan('1-5-0')) self.assertEqual(5, helper.GetFirstRevisionGreaterThan('1-8-0')) self.assertEqual(6, helper.GetFirstRevisionGreaterThan('2-0-0')) self.assertEqual(6, helper.GetFirstRevisionGreaterThan('2-1-0')) self.assertEqual(7, helper.GetFirstRevisionGreaterThan('2-2-0')) self.assertEqual(7, helper.GetFirstRevisionGreaterThan('2-3-0')) self.assertEqual(8, helper.GetFirstRevisionGreaterThan('2-4-0')) self.assertEqual(8, helper.GetFirstRevisionGreaterThan('2-5-0')) assert_is_up_to_date('2-6-0') assert_is_up_to_date('2-7-0') if __name__ == '__main__': unittest.main()

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0.674955

879

6,153

4.507395

0.156997

0.068652

0.090863

0.056537

0.507067

0.471479

0.38213

0.286724

0.233468

0.216557

0

0.062956

0.176499

6,153

179

80

34.374302

0.718966

0.074273

0

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0

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0

0.412587

1

0.055944

false

0

0.055944

0

0.125874

0

null

0

null

0

1

0

1

8f4c733b84d84a0351bf8d9d1333251f23372afb

2,507

py

Python

test_extra_credit.py

robertavram/tournament

ec77d898006f15aa2c1bd1836cfc7655c6587b01

[ "MIT" ]

null

test_extra_credit.py

robertavram/tournament

ec77d898006f15aa2c1bd1836cfc7655c6587b01

[ "MIT" ]

null

test_extra_credit.py

robertavram/tournament

ec77d898006f15aa2c1bd1836cfc7655c6587b01

[ "MIT" ]

null

from tournament import * from random import randint from math import log, ceil def setupTournament(tname): createTournament(tname) return def registerPlayers(tournament="Default Tournament", tplayers=10): """Registers a list of randomly generated names. """ # Potential first names: pFN = ["Eden ", "Sharilyn ", "Merissa ", "Dalia ", "Ema ", "Dede ", "Raul ", "Genaro ", "Raelene ", "Merrie "] # Potential last names: pLN = ["Alcantar", "Armstrong", "Brafford", "Loughran", "Stager", "Saia", "Lyall", "Tuma", "Mccarville", "Sollars"] for i in range(tplayers): name = pFN[randint(0, 9)] + pLN[randint(0, 9)] registerPlayer(name, tournament) return def gameon(lpp, tournament): """Play the games with a random winner or loser""" print "Pairs for this round: \n {} \n ".format(lpp) for pair in lpp: # Random winner and loser if not pair[1]: # Making sure that if the pair contains a bye we don't put the by # as winner. reportMatch(pair[0], pair[1], tournament) continue if randint(0, 1): reportMatch(pair[0], pair[1], tournament, True) else: r_win = randint(0, 1) r_loser = (r_win + 1) % 2 reportMatch(pair[r_win], pair[r_loser], tournament) def testReportMatches(tournament="Default Tournament", tot_players=4): """ Registers players in a tournament, figures out the minimum number of rounds to be played in order to find a winner, makes the pairings based on swissSupPairings, plays the games using gameon, prints the final results""" deleteMatches(tournament) deletePlayers(tournament) # Register n players registerPlayers(tournament, tot_players) rounds = int(ceil(log(tot_players, 2))) print "PLAYING {} ROUNDS".format(rounds) for i in range(rounds): pairings = swissSupPairings(tournament) gameon(pairings, tournament) standings = playerSupStandings(tournament) print "\n FINAL RESULT FOR '{0}'\n".format(tournament) for row in standings: print row if __name__ == '__main__': tournaments = [["World Cup", 10], ["Private Tournament", 7]] for t in tournaments: print "\n\n TESTING TOURNAMENT '{}' WITH {} PLAYERS".format(t[0], t[1]) setupTournament(t[0]) testReportMatches(t[0], t[1]) print "Success! All tests pass!"

29.494118

88

0.618269

302

2,507

5.07947

0.460265

0.020861

0.035202

0.014342

0.040417

0

0.015184

0.26446

2,507

85

89

29.494118

0.816703

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0

null

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0.0625

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0.125

0

null

0

null

0

1

0

1

8f4d8e9c469beff91ba244881b1a589e7e632122

12,932

py

Python

python/prizes.py

camfindlay/govhackaustralia.github.io

3e4c1eb7d04a922ba7e6853ee5411af1c5d0b193

[ "CC-BY-4.0" ]

1

2020-06-20T21:50:06.000Z

python/prizes.py

camfindlay/govhackaustralia.github.io

3e4c1eb7d04a922ba7e6853ee5411af1c5d0b193

[ "CC-BY-4.0" ]

null

python/prizes.py

camfindlay/govhackaustralia.github.io

3e4c1eb7d04a922ba7e6853ee5411af1c5d0b193

[ "CC-BY-4.0" ]

1

2020-06-20T21:50:09.000Z

import fnmatch import codecs import tablib import os import requests import urlparse import shutil import frontmatter import yaml import io class PrizeSpreadsheets(object): """ """ def __init__(self, dir_path): self.dir_path = dir_path def get_spreadsheets(self): sheets = [] for file in os.listdir(self.dir_path): if file.endswith(".xlsx") and file.startswith("~") == False: new_filename = "%s.xlsx" % (self.get_region(file)) os.rename(os.path.join(self.dir_path, file), os.path.join(self.dir_path, new_filename)) # print new_filename sheets.append({ "filename": new_filename, "region": self.get_region(file), "sheet": PrizeSpreadsheet(os.path.join(self.dir_path, new_filename)) }) return sheets def get_region(self, file): regions = ["AUSTRALIA", "ACT", "NSW", "NT", "QLD", "SA", "TAS", "VIC", "WA", "NZ"] if " " not in file: region = os.path.splitext(file)[0] else: region = file.split(" ")[0].upper() if region not in regions: raise ValueError("Region '%s' is not valid." % (region)) if region == "NATIONAL": return "AUSTRALIA" return region class PrizeSpreadsheet(object): """ """ def __init__(self, file_path): self.file_path = file_path self.read_file() def read_file(self): from openpyxl import load_workbook # print "file_path: %s" % (self.file_path) self.wb = load_workbook(self.file_path) def get_prize_sheet(self, index=0): # print self.wb.get_sheet_names() self.ws = self.wb.get_sheet_by_name(self.wb.get_sheet_names()[index]) return self.ws def get_headers(self): headers = [] for row in self.ws.iter_rows("A1:Z1"): for cell in row: if cell.value == None: break else: col_name = "".join(cell.value.split()).lower() if "eligibilitycriteria" in col_name or "eligiblitycriteria" in col_name: col_name = "eligibilitycriteria" headers.append(col_name) return headers def is_row_empty(self, row): for cell in row: if cell.value is not None: return False return True def sheet_to_dict(self, ws): rows = [] headers = self.get_headers() print headers # print for row in ws.iter_rows(row_offset=1): # print row # Consider a single empty row to be the end of the available data if self.is_row_empty(row) == True: # print "Row is empty" break tmp = {} for idx, cell in enumerate(row): # print "%s: %s" % (idx, cell.value) if idx >= len(headers): break else: if type(cell.value) is unicode: tmp[headers[idx]] = cell.value.strip() else: tmp[headers[idx]] = cell.value rows.append(tmp) # print return rows # Config datadir = "python/data/prizes" prizesdir = "_prizes/2016/" organisationsdir = "_organisations/" eventsdir = "_locations/" # tmpdir = "python/tmp/" # Init # For seeing if the mentor's organisations exists organisation_names = [] for root, dirnames, filenames in os.walk(organisationsdir): for filename in fnmatch.filter(filenames, "*.md"): organisation_names.append(filename.split(".")[0]) # For matching mentors to events event_names = [] event_md_files = {} for root, dirnames, filenames in os.walk(eventsdir): for filename in fnmatch.filter(filenames, "*.md"): event_name = filename.split(".")[0] event_names.append(event_name) event_md_files[event_name] = os.path.join(root, filename) # Ingest available prize sheets for UPSERTing gids = [] # GIDs used so far for sanity checking validation_errors = [] sheets = PrizeSpreadsheets(datadir).get_spreadsheets() for file in sheets: print "Spreadsheet: %s" % (file["filename"]) print "Region: %s" % (file["region"]) ws = file["sheet"].get_prize_sheet(0) rows = file["sheet"].sheet_to_dict(ws) print "Prize Count: %s" % (len(rows)) print print "Processing prizes..." print for idx, row in enumerate(rows): # Assign our prize a globally unique id # if "prizename" not in row: # print row # exit() if row["prizename"] is None: # @TODO errmsg = "%s: Prize #'%s' has no name" % (file["region"].lower(), idx) # raise ValueError(errmsg) validation_errors.append(errmsg) print errmsg continue else: row["prizename"] = row["prizename"].replace(u'\u2013', "-").encode("utf-8") gid = file["region"].lower() + "-" + row["prizename"].lower().strip().replace("/", " or ").replace(" ", "-").replace("'", "") if gid in gids: # Hacky gid = gid + "-2" if gid in gids: raise ValueError("GID '%s' is already in use." % (gid)) else: gids.append(gid) print row["prizename"] print gid print if row["prizetype"] is None: errmsg = "%s: Prize '%s' has no type set." % (file["region"].lower(), row["prizename"]) # raise ValueError(errmsg) validation_errors.append(errmsg) print errmsg continue jurisdiction = file["region"].lower() if row["prizetype"].lower() == "international": jurisdiction = "international" prize = { "name": row["prizename"], "title": row["prizename"], "gid": gid, "jurisdiction": jurisdiction, "type": row["prizetype"].title() } # Attach non-national prizes to their events if file["region"] != "AUSTRALIA": if row["prizelevelregionwideoreventspecific"] == "Event only": if "eventspecificlocation" not in row: raise ValueError("Event-only prize nominated without any accompanying event specified.") if row["eventspecificlocation"] is None: # @TODO errmsg = "%s: Prize '%s' is an Event prize, but no event locations provided." % (file["region"].lower(), row["prizename"]) # raise ValueError(errmsg) validation_errors.append(errmsg) print errmsg continue event_gid = row["eventspecificlocation"].replace(" ", "-").replace(",", "").lower() event_gid_original = event_gid # Hacky fix if event_gid == "mount-gambier": event_gid = "mount-gambier-youth" elif event_gid == "all-brisbane-events": event_gid = "brisbane" if event_gid not in event_names: errmsg = "%s: Event GID '%s' does not exist." % (file["region"].lower(), event_gid) raise ValueError(errmsg) validation_errors.append(errmsg) # print errmsg else: print "For Event: %s" % (event_gid) post = frontmatter.load(event_md_files[event_gid]) prize["category"] = "local" prize["events"] = [post.metadata["gid"]] # Hacky fix if event_gid_original == "all-brisbane-events": prize["events"].append("brisbane-youth") prize["events"].append("brisbane-maker") if post.metadata["gid"] != event_gid: print "WARNING: Event .md file does not match event gid. %s, %s" % (event_gid, post.metadata["gid"]) else: prize["category"] = "state" else: prize["category"] = "australia" # Attach sponsoring organisations prize["organisation_title"] = row["sponsoredby"].strip().replace(" Prize", "") organisation_gid = row["sponsoredby"].lower().replace(" ", "-").replace(",", "").strip() if organisation_gid in organisation_names: prize["organisation"] = organisation_gid else: # print "WARNING: Could not resolve organisation: %s (%s)" % (row["sponsoredby"], organisation_gid) pass # If a prize already exists, merge the latest info over the top prize_md_dir = os.path.join(prizesdir, file["region"].lower()) prize_md_file = os.path.join(prize_md_dir, "%s.md" % (gid)) if os.path.exists(prize_md_file): # print "NOTICE: Found an existing prize. Merging new data." existing_prize = frontmatter.load(prize_md_file) existing_prize.metadata.update(prize) prize = existing_prize.metadata # Convert prize $$$ value to an integer estimatedprizevalue = "" if type(row["estimateprizevalue$"]) is unicode and row["estimateprizevalue$"].strip().replace("$", "").isdigit(): estimatedprizevalue = int(row["estimateprizevalue$"].strip().replace("$", "")) elif type(row["estimateprizevalue$"]) is float or type(row["estimateprizevalue$"]) is long: estimatedprizevalue = int(row["estimateprizevalue$"]) elif row["estimateprizevalue$"] is not None: estimatedprizevalue = row["estimateprizevalue$"].strip() # Fixing up minor stuff if row["prizecategorydescription"] is None: row["prizecategorydescription"] = unicode("") if row["prizereward"] is None: row["prizereward"] = unicode("") if row["eligibilitycriteria"] is None: row["eligibilitycriteria"] = unicode("") # print prize # print row print print "---" print # continue if not os.path.exists(prize_md_dir): os.makedirs(prize_md_dir) with io.open(prize_md_file, "w", encoding="utf-8") as f: f.write(u'---\n') f.write(unicode(yaml.safe_dump(prize, width=200, default_flow_style=False, encoding="utf-8", allow_unicode=True), "utf-8")) f.write(u'---\n') f.write(u'\n') f.write(unicode(row["prizecategorydescription"].replace("|", "\n").rstrip())) f.write(u'\n\n') f.write(u'# Prize\n') f.write(unicode(str(row["prizereward"]).replace("|", "\n").replace(".0", "").rstrip())) f.write(u'\n\n') f.write(u'# Eligibility Criteria\n') f.write(unicode(row["eligibilitycriteria"].replace("|", "\n").rstrip())) # print "\n" print "############################################################" # print "\n\n" if len(validation_errors) > 0: for i in validation_errors: print i # --- # name: Prize 1 # id: prize_1 # photo_url: https://static.pexels.com/photos/3084/person-woman-park-music-large.jpg # jurisdiction: australia # type: Prize # organisations: # - organisation_1 # themes: # - theme_1 # - theme_3 # datasets: # - dataset_1 # - dataset_3 # dataportals: # - dataportal_1 # --- # Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aliquam at ornare risus, at dignissim sapien. Sed eget est mi. Ut lacinia ornare tellus commodo sagittis. Integer euismod eleifend velit, eget dictum leo sagittis at. # # Prize Details # Phasellus rutrum euismod turpis elementum ornare. Donec ut risus id ante gravida molestie. Integer cursus tempus porta. Sed vitae nunc quis nibh dapibus aliquet vel sed dolor. Donec id risus ut ipsum fermentum cursus quis sed massa. Nulla sit amet blandit orci, dapibus condimentum augue. Fusce suscipit purus et ultricies fermentum. # # Requirements # Mauris at est urna. Aenean ut elit venenatis augue dictum viverra: # - **Nulla facilisi.** Donec vel justo odio. Vivamus consequat hendrerit arcu vel vestibulum. Proin malesuada mauris vitae nulla iaculis fringilla. # - **Proin tempor tempus ipsum id bibendum.** Duis vehicula nisi vel bibendum lacinia. # - **Suspendisse libero dui**, hendrerit vitae eleifend sed, cursus ut tellus. Vivamus tristique, lectus in ullamcorper interdum, orci nisi vestibulum nisi, ac luctus est mi quis justo. # - **Phasellus tempor laoreet felis a porta.** Aenean in sodales odio. Curabitur interdum bibendum orci, vitae hendrerit eros tempus at.

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null

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1

8f55227cf0237dd09fda9cb47b6ed01106b23c08

734

py

Python

shop/migrations/0004_auto_20191223_1511.py

majestylink/majestyAccencis

41bdde6f9982980609f93a8b44bcaf06cc5f6ea6

[ "MIT" ]

null

shop/migrations/0004_auto_20191223_1511.py

majestylink/majestyAccencis

41bdde6f9982980609f93a8b44bcaf06cc5f6ea6

[ "MIT" ]

null

shop/migrations/0004_auto_20191223_1511.py

majestylink/majestyAccencis

41bdde6f9982980609f93a8b44bcaf06cc5f6ea6

[ "MIT" ]

null

# Generated by Django 2.2.7 on 2019-12-23 14:11 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('shop', '0003_auto_20191223_1507'), ] operations = [ migrations.AddField( model_name='item', name='label_type', field=models.CharField(choices=[('P', 'primary'), ('S', 'secondary'), ('D', 'danger')], default='P', max_length=1, verbose_name='Product Label Type'), preserve_default=False, ), migrations.AlterField( model_name='item', name='label', field=models.CharField(blank=True, max_length=10, null=True, verbose_name='Product Label'), ), ]

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null

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null

0

1

8f55a41e038080f5e759107ce256226edf627325

356

py

Python

train/demo.py

Ethan16/python_misc

29cf2fdbd7529a05bcf35768e0244e634fe2ae7a

[ "Apache-2.0" ]

1

2019-05-04T09:26:29.000Z

train/demo.py

Ethan16/python_misc

29cf2fdbd7529a05bcf35768e0244e634fe2ae7a

[ "Apache-2.0" ]

null

train/demo.py

Ethan16/python_misc

29cf2fdbd7529a05bcf35768e0244e634fe2ae7a

[ "Apache-2.0" ]

null

class Demo(object): def __init__(self,a=None,*args,**kwargs): self.a=a #import pdb;pdb.set_trace() def get_a(self): return self.a @property def b(self): b="b2b" return b if __name__== '__main__': demo=Demo('int a','int b','int_c',d='init_d') print demo.get_a() print demo.b

23.733333

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356

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0.481481

0.085714

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0.30618

356

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null

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0.153846

0

null

0

null

0

1

0

1

8f62c6cee92460f2bc1d289c73585eb313eeb447

5,190

py

Python

knowledge/SSHExec.py

procter-gamble-tech/pentest-report

f9e9d8f5dc76316fd5a1fe43956d60d1efd1aacc

[ "MIT" ]

2

2021-02-18T13:46:06.000Z

2021-04-30T05:11:19.000Z

knowledge/SSHExec.py

procter-gamble-tech/pentest-report

f9e9d8f5dc76316fd5a1fe43956d60d1efd1aacc

[ "MIT" ]

null

knowledge/SSHExec.py

procter-gamble-tech/pentest-report

f9e9d8f5dc76316fd5a1fe43956d60d1efd1aacc

[ "MIT" ]

1

2021-02-18T13:45:37.000Z

#!/usr/bin/python3 from StateAction import StateAction import paramiko import socket import argparse class SSHExec(StateAction): """ Runs an ssh command on all user/hosts """ def __init__(self, cmd_list, cmd_name, mode='foreach_host', users=None): """ cmd list - these commands will be run over SSH """ """ cmd_name - under this alias the joint result of all commands will be stored in db (e.g. "shadow search"). You'll use it for search later. Two command lists of identical name will not be repeated.""" """ mode - 'foreach_userhost': run once per host, 'foreach_host': run once per user/host """ if(mode != 'foreach_userhost' and mode != 'foreach_host'): raise ValueError() if(mode == 'foreach_host'): super().__init__('ssh_exec', ['host', 'port', 'username', 'password', 'cmd_name'], ['host', 'cmd_name']) if(mode == 'foreach_userhost'): super().__init__('ssh_exec', ['host', 'port', 'username', 'password', 'cmd_name'], ['host', 'username', 'cmd_name']) self.cmd_list = cmd_list self.cmd_name = cmd_name self.users = users def emit(self): userhosts = list(self.utils.knowledge.find({'type': 'state_action', 'subtype': 'result', 'result.status': 1, 'pentest_id': self.utils.pentest_id, 'name': 'ssh_scanner'})) userhosts = self.strip_list(userhosts,['input.host', 'input.port', 'input.username', 'input.password']) userhostcommand = [{**uh, **{'cmd_list':self.cmd_list, 'cmd_name': self.cmd_name}} for uh in userhosts if (self.users==None or uh['username'] in self.users)] # print(str(userhostcommand)) return userhostcommand def work(self, params): target_ssh=paramiko.SSHClient() # tell the ssh client to automatically add any missing keys target_ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy()) try: # connect to the target box via ssh print("Connecting to {} as {}/{}".format(params['host'], params['username'], params['password'])) target_ssh.connect(params['host'],username=params['username'],password=params['password']) # chan = target_ssh.get_transport().open_session() commands = params['cmd_list'] results = [] #if no errors, execute commands on the target for command in commands: try: # if target_ssh.get_transport().is_active(): # NOTE THE TIMEOUT !!! stdin, stdout, stderr = target_ssh.exec_command(command, timeout=60.0) print("Executing `{}`".format( command )) stdoutstr = stdout.read().strip().decode() stderrstr = stderr.read().strip().decode() print("Result: ") print(stdoutstr) print(stderrstr) results.append({'cmd': command, 'stdout': stdoutstr, 'stderr': stderrstr, 'exit_status': stdout.channel.recv_exit_status()}) except (Exception) as g: print(g) return {'status':2, 'exception': str(g)} pass # Close the target ssh session - this would be faster if you looped before closing target_ssh.close() last_exit_status = stdout.channel.recv_exit_status() return {'status': 1 if last_exit_status == 0 else 0, 'cmd_results': results, 'last_exit_status': last_exit_status} except (paramiko.BadHostKeyException, paramiko.AuthenticationException, paramiko.SSHException, socket.error) as e: print("Failed: {}".format(str(e))) return {'status':0, 'error': str(e)} pass parser = argparse.ArgumentParser(description='Executes ssh commands against all known hosts / credentials') parser.add_argument('-m', '--mode', dest='mode', type=str, default='foreach_host', choices=['foreach_host', 'foreach_userhost'], help="determines if you are interested in successful execution by any user or all users. E.g. 'id' is interesting for every user (foreach_userhost). 'uname -a' for any user (foreach_host). Default: foreach_host.") parser.add_argument('-U', '--user', type=str, nargs='*', help='Connect only as a given username. Can provide many usernames (e.g. -U john tom alice)' ) parser.add_argument('name', type=str, help='command label. Used to check if identical command was not executed before' ) parser.add_argument('cmd', type=str, nargs='+', help='list of shell commands to be executed' ) parser.add_argument('-r', '--retry', action='store_true', default=False, help='Rerun all, regardles of prior run or prior success.' ) parser.add_argument('-rr', '--remove-and-retry', action='store_true', default=False, help='--retry, with additional removal of successful results from prior runs' ) args = parser.parse_args() # print(args) ssh = SSHExec(args.cmd, args.name, users=args.user) ssh.run(retry=(args.retry or args.remove_and_retry) , retry_successful=(args.retry or args.remove_and_retry), remove_previous=args.remove_and_retry)

55.806452

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null

0

null

0

1

0

1

8f63a5304c263db8cd4106423faef2227b9b49fb

1,803

py

Python

tf_quant_finance/rates/swap_curve_common.py

slowy07/tf-quant-finance

0976f720fb58a2d7bfd863640c12a2425cd2f94f

[ "Apache-2.0" ]

3,138

2019-07-24T21:43:17.000Z

2022-03-30T12:11:09.000Z

tf_quant_finance/rates/swap_curve_common.py

slowy07/tf-quant-finance

0976f720fb58a2d7bfd863640c12a2425cd2f94f

[ "Apache-2.0" ]

63

2019-09-07T19:16:03.000Z

2022-03-29T19:29:40.000Z

tf_quant_finance/rates/swap_curve_common.py

slowy07/tf-quant-finance

0976f720fb58a2d7bfd863640c12a2425cd2f94f

[ "Apache-2.0" ]

423

2019-07-26T21:28:05.000Z

2022-03-26T13:07:44.000Z

# Lint as: python3 # Copyright 2020 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, 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. """Common utilities and data structures for swap curve construction.""" from tf_quant_finance import types from tf_quant_finance import utils __all__ = [ 'SwapCurveBuilderResult' ] @utils.dataclass class SwapCurveBuilderResult: """Swap curve calibration results. Attributes: times: Rank 1 real `Tensor`. Times for the computed rates. rates: Rank 1 `Tensor` of the same dtype as `times`. The inferred zero rates. discount_factors: Rank 1 `Tensor` of the same dtype as `times`. The inferred discount factors. initial_rates: Rank 1 `Tensor` of the same dtype as `times`. The initial guess for the rates. converged: Scalar boolean `Tensor`. Whether the procedure converged. failed: Scalar boolean `Tensor`. Whether the procedure failed. iterations: Scalar int32 `Tensor`. Number of iterations performed. objective_value: Scalar real `Tensor`. The objective function at the optimal soultion. """ times: types.RealTensor rates: types.RealTensor discount_factors: types.RealTensor initial_rates: types.RealTensor converged: types.BoolTensor failed: types.BoolTensor iterations: types.IntTensor objective_value: types.RealTensor

34.673077

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5.483607

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0

0.010163

0.181364

1,803

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0.733333

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null

0

null

0

1

0

1

8f6b79727ab29b5b63cc9dd751d6412c518b2feb

557

py

Python

Module2/myprg1.py

vishalnalwa/DAT210x-master---Old

0cbe91636285fd55059b5059cb131811ea207850

[ "MIT" ]

null

Module2/myprg1.py

vishalnalwa/DAT210x-master---Old

0cbe91636285fd55059b5059cb131811ea207850

[ "MIT" ]

null

Module2/myprg1.py

vishalnalwa/DAT210x-master---Old

0cbe91636285fd55059b5059cb131811ea207850

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Mon Jun 19 17:14:36 2017 @author: m037382 """ import pandas as pd df = pd.read_html('http://www.espn.com/nhl/statistics/player/_/stat/points/sort/points/year/2015/seasontype/2') df1 = pd.concat(df) df1.columns = ['RK', 'PLAYER', 'TEAM', 'GP','G','A','PTS','+/-',' PIM','PTS/G','SOG','PCT','GWG','PP-G','PP-A','SH-G','SH-A'] df1= df1[df1.RK != "RK"] df1= df1.drop('RK',axis=1) df1=df1.dropna() df1=df1.reset_index(drop=True) print df1 print len(df1.PCT.unique()) print add( df1.loc[15, 'GP'] , df1.loc[16, 'GP'])????

29.315789

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101

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0.633663

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0

0.087475

0.096948

557

19

126

29.315789

0.592445

0.037702

0

0.090909

0.324895

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null

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0.090909

null

0.272727

0

null

0

null

0

1

0

1

8f751c06b143e725cfe778cbe9ed3c2d667f4adc

907

py

Python

Plugins/Aspose-Slides-Java-for-Jython/asposeslides/WorkingWithPresentation/Zoom.py

tienph91/Aspose.Slides-for-Java

874a8245c6e1ae227393644d9bd35d5e65e07d52

[ "MIT" ]

27

2016-10-25T13:19:25.000Z

2022-03-03T04:13:53.000Z

Plugins/Aspose-Slides-Java-for-Jython/asposeslides/WorkingWithPresentation/Zoom.py

tienph91/Aspose.Slides-for-Java

874a8245c6e1ae227393644d9bd35d5e65e07d52

[ "MIT" ]

9

2017-03-14T13:02:17.000Z

2021-11-25T13:22:20.000Z

Plugins/Aspose-Slides-Java-for-Jython/asposeslides/WorkingWithPresentation/Zoom.py

tienph91/Aspose.Slides-for-Java

874a8245c6e1ae227393644d9bd35d5e65e07d52

[ "MIT" ]

38

2016-04-07T16:37:29.000Z

2022-01-17T06:35:14.000Z

from asposeslides import Settings from com.aspose.slides import Presentation from com.aspose.slides import SaveFormat from com.aspose.slides import XpsOptions class Zoom: def __init__(self): dataDir = Settings.dataDir + 'WorkingWithPresentation/Zoom/' # Create an instance of Presentation class pres = Presentation() # Setting View Properties of Presentation pres.getViewProperties().getSlideViewProperties().setScale(50) # zoom value in percentages for slide view pres.getViewProperties().getNotesViewProperties().setScale(50) # .Scale = 50 //zoom value in percentages for notes view # Save the presentation as a PPTX file save_format = SaveFormat pres.save(dataDir + "Zoom.pptx", save_format.Pptx) print "Set zoom value, please check the output file." if __name__ == '__main__': Zoom()

34.884615

127

0.693495

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907

6.029412

0.509804

0.034146

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0.092683

0.209756

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0.231533

907

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128

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0

null

0

null

0

1

0

1

8f76e085c8945f356c1b5166c9e3418d881f3e6b

3,649

py

Python

python/common/fileIO/pcsPath.py

CountZer0/PipelineConstructionSet

0aa73a8a63c72989b2d1c677efd78dad4388d335

[ "BSD-3-Clause" ]

21

2015-04-27T05:01:36.000Z

2021-11-22T13:45:14.000Z

python/common/fileIO/pcsPath.py

0xb1dd1e/PipelineConstructionSet

621349da1b6d1437e95d0c9e48ee9f36d59f19fd

[ "BSD-3-Clause" ]

null

python/common/fileIO/pcsPath.py

0xb1dd1e/PipelineConstructionSet

621349da1b6d1437e95d0c9e48ee9f36d59f19fd

[ "BSD-3-Clause" ]

7

2015-04-11T11:37:19.000Z

2020-05-22T09:49:04.000Z

''' Author: Jason.Parks Created: April 17, 2012 Module: common.fileIO.Path Purpose: custom Path class wrapper ''' from common.fileIO.path import * import os, stat import sys class Path(path): ''' PipelineConstructionSet sub-class of pymel's path class (which came from Jason Orendorff's implementation in Python 2.2) ''' def toP4Path(self): ''' Convert path to perforce path ''' self = self.makePretty() # return '//depot/%s' % self[3:] return '//%s' % self[3:] def makePretty(self, lastSlash=True, backward=False): ''' cleans up the look of the paths Params: lastSlash: keep or remove the last slash in a directory path backward: replace with backward or forward slashes Returns: Path() class object ''' slashChr = '/' if backward: slashChr = '\\' # check for initial double forward slash network = False if self[:2] == '//' or self[:2] == '\\\\': network = True # convert to forward or backward for unused in range(0, 4): # Removal of double forward slashes self = self.replace('//', slashChr) self = self.replace('\\', slashChr) self = self.replace('/', slashChr) # check tail if dir if os.path.isdir(self): if self[-1:] == '/': if not lastSlash: self = self[:-1] else: if lastSlash: self = self + slashChr # reinstate initial double forward slash if network: if backward: self = '\\%s' % self else: self = '/%s' % self return Path(self) @property def pretty(self): ''' Property, do not use ()''' return self.makePretty() @property def prettyWOSlash(self): ''' Property, do not use ()''' return self.makePretty(lastSlash=False) @property def isbin(self): """ Property, do not use () Description: Tests for binary? Inputs: path Returns: True/False """ fd = open(self, 'rb') for b in fd.read(): if ord(b) > 127: fd.close() return True fd.close() return False @property def isReadOnly(self): ''' Property, do not use ()''' fileAtt = os.stat(self)[0] if (not fileAtt & stat.S_IWRITE): return 1 else: return 0 @property def isWritable(self): ''' Property, do not use ()''' fileAtt = os.stat(self)[0] if (not fileAtt & stat.S_IREAD): return 1 else: return 0 def makeReadOnly(self, _dir=False): ''' make file(s) readOnly Params: _dir: if process entire directory Returns: True/False ''' success = True if _dir: # check for dir passed if self.isdir: for _file in self.walk(): os.chmod(_file, stat.S_IREAD) if self.isWritable: success = False else: print "%s is not a directory" else: # process single if self.exists: os.chmod(self, stat.S_IREAD) if self.isWritable: success = False else: print "%s does not exists" % self return success def makeWritable(self, _dir=False): ''' make file(s) non-readOnly Params: _dir: if process entire directory Returns: True/False ''' success = True if _dir: # check for dir passed if self.isdir: for _file in self.walk(): os.chmod(_file, stat.S_IWRITE) if self.isReadOnly: success = False else: print "%s is not a directory" else: # process single if self.exists: os.chmod(self, stat.S_IWRITE) if self.isReadOnly: success = False else: print "%s does not exists" % self return success def modulePath(self): found = 0 for p in sys.path: if p == self: found = 1 if found: return True else: return False def string(self): return str(self) print "common.fileIO.Path imported"

20.272222

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0.624007

496

3,649

4.558468

0.262097

0.026537

0.03096

0.037594

0.435648

0.41088

0.392304

0.326404

0

0.010271

0.252946

3,649

179

122

20.385475

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0.072075

0

0.476636

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0.054286

0

null

0

0.037383

null

0.046729

0

null

0

null

0

1

0

1

8f7c29f9a92e05ecd92699cd4528d8f8ee852948

1,324

py

Python

pytorch_forecasting/metrics/__init__.py

smetam/pytorch-forecasting

0a5e13fc9eefab00f43b002d08808b235582ed3d

[ "MIT" ]

null

pytorch_forecasting/metrics/__init__.py

smetam/pytorch-forecasting

0a5e13fc9eefab00f43b002d08808b235582ed3d

[ "MIT" ]

2

2020-07-26T11:38:16.000Z

2020-08-16T21:08:53.000Z

pytorch_forecasting/metrics/__init__.py

smetam/pytorch-forecasting

0a5e13fc9eefab00f43b002d08808b235582ed3d

[ "MIT" ]

null

""" Metrics for (mulit-horizon) timeseries forecasting. """ from pytorch_forecasting.metrics.base_metrics import ( DistributionLoss, Metric, MultiHorizonMetric, MultiLoss, MultivariateDistributionLoss, convert_torchmetric_to_pytorch_forecasting_metric, ) from pytorch_forecasting.metrics.distributions import ( BetaDistributionLoss, ImplicitQuantileNetworkDistributionLoss, LogNormalDistributionLoss, MQF2DistributionLoss, MultivariateNormalDistributionLoss, NegativeBinomialDistributionLoss, NormalDistributionLoss, ) from pytorch_forecasting.metrics.point import MAE, MAPE, MASE, RMSE, SMAPE, CrossEntropy, PoissonLoss, TweedieLoss from pytorch_forecasting.metrics.quantile import QuantileLoss __all__ = [ "MultiHorizonMetric", "DistributionLoss", "MultivariateDistributionLoss", "MultiLoss", "Metric", "convert_torchmetric_to_pytorch_forecasting_metric", "MAE", "MAPE", "MASE", "PoissonLoss", "TweedieLoss", "CrossEntropy", "SMAPE", "RMSE", "BetaDistributionLoss", "NegativeBinomialDistributionLoss", "NormalDistributionLoss", "LogNormalDistributionLoss", "MultivariateNormalDistributionLoss", "ImplicitQuantileNetworkDistributionLoss", "QuantileLoss", "MQF2DistributionLoss", ]

27.020408

114

0.755287

86

1,324

11.406977

0.44186

0.110092

0.089704

0.118247

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0

0.0018

0.160876

1,324

48

115

27.583333

0.881188

0.03852

0

0.303557

0.181028

0

1

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false

0

0.093023

0

0.093023

0

1

null

0

null

0

1

8f7fd280f59517d4cbc989bc26eb77bef14be853

1,885

py

Python

tests/events/test_consumer.py

promulo/pinga

185e8fc533882106f4f263a141d6ce829f6d3c39

[ "MIT" ]

null

tests/events/test_consumer.py

promulo/pinga

185e8fc533882106f4f263a141d6ce829f6d3c39

[ "MIT" ]

21

2020-12-20T02:00:45.000Z

2020-12-24T14:32:54.000Z

tests/events/test_consumer.py

promulo/pinga

185e8fc533882106f4f263a141d6ce829f6d3c39

[ "MIT" ]

null

import json from unittest.mock import ANY, MagicMock, call, patch from pinga.events.consumer import Consumer @patch("pinga.events.consumer.get_db_conn") @patch("pinga.events.consumer.save_event") @patch("pinga.events.consumer.get_logger") @patch( "pinga.events.consumer.KafkaConsumer", return_value=[ MagicMock(value=b"hello"), MagicMock(value=b"world"), MagicMock(value=b"") ] ) def test_consumer_consume_invalid_events(mock_kafka, mock_logger, mock_save, mock_db_conn): consumer = Consumer() consumer.consume() mock_logger().error.assert_has_calls([ call("Received invalid message: 'hello', skipping"), call("Received invalid message: 'world', skipping"), call("Received invalid message: '', skipping") ]) mock_save.assert_not_called() @patch("pinga.events.consumer.get_db_conn") @patch("pinga.events.consumer.save_event") @patch("pinga.events.consumer.KafkaConsumer") def test_consumer_consume_happy_path(mock_kafka, mock_save, mock_db_conn): event_1 = { "url": "http://example.org/404", "status": "down", "httpStatus": 404, "responseTimeSeconds": 0.160735 } event_2 = { "url": "a.a", "status": "error", "errorMessage": "some error" } mock_kafka.return_value = [ MagicMock(value=json.dumps(event_1).encode("utf-8")), MagicMock(value=json.dumps(event_2).encode("utf-8")) ] consumer = Consumer() consumer.consume() mock_save.assert_has_calls([call(ANY, event_1), call(ANY, event_2)]) @patch("pinga.events.consumer.get_db_conn") @patch("pinga.events.consumer.create_events_table") @patch("pinga.events.consumer.KafkaConsumer") def test_consumer_table_created(mock_kafka, mock_create_table, mock_db_conn): _ = Consumer() mock_create_table.assert_called_once_with(mock_db_conn())

29.920635

91

0.690716

237

1,885

5.232068

0.274262

0.097581

0.168548

0.193548

0.473387

0.255645

0.191129

0

0.013359

0.166048

1,885

62

92

30.403226

0.775445

0

0.215686

0

0.311936

0.180902

0

0.078431

1

0.058824

false

0

0.058824

0

0.117647

0

null

0

1

0

null

0

1

56ae8dd61b1ca2359d4320007e8cf692e7b80936

3,437

py

Python

q1pulse/lang/loops.py

sldesnoo-Delft/q1pulse

f5123b5c1e0dfbb59512d282ec7e3fb833e58b95

[ "MIT" ]

1

2021-11-12T09:40:14.000Z

q1pulse/lang/loops.py

sldesnoo-Delft/q1pulse

f5123b5c1e0dfbb59512d282ec7e3fb833e58b95

[ "MIT" ]

null

q1pulse/lang/loops.py

sldesnoo-Delft/q1pulse

f5123b5c1e0dfbb59512d282ec7e3fb833e58b95

[ "MIT" ]

null

from numbers import Number from .math_expressions import get_dtype from .register import Register from .exceptions import Q1ValueError, Q1TypeError class LoopVar(Register): def __init__(self, name, loop, **kwargs): super().__init__(name, **kwargs) self._loop = loop class Loop: def __init__(self, loop_number, n, var_type=None, local=False): self._loop_number = loop_number self._n = n self.label = f'local_{loop_number}' if local else f'loop_{loop_number}' self._loop_reg = LoopVar(f'_cnt{self._loop_number}', self, local=local, dtype=int) if var_type: reg_name = f'_var{self._loop_number}' self._loopvar = LoopVar(reg_name, self, dtype=var_type) else: self._loopvar = None @property def n(self): return self._n @property def loopvar(self): return self._loopvar def __repr__(self): return f'repeat({self._n}):' class RangeLoop(Loop): def __init__(self, loop_number, start_or_n, stop=None, step=None): if stop is None: n = start_or_n self._start = 0 self._stop = n self._step = 1 else: self._start = start_or_n self._stop = stop self._step = 1 if step is None else step # loop is end exclusive n = (self._stop-1 - self._start) // self._step n = max(0, n+1) super().__init__(loop_number, n, var_type=int) @property def start(self): return self._start @property def step(self): return self._step def __repr__(self): return f'loop_range({self._start}, {self._stop}, {self._step}):{self.loopvar}' class LinspaceLoop(Loop): def __init__(self, loop_number, start, stop, n, endpoint=True): super().__init__(loop_number, n, var_type=float) if max(start,stop) > 1.0 or min(start,stop) < -1.0: raise Q1ValueError('value out of range [-1.0, 1.0]') self._start = start self._stop = stop self._endpoint = endpoint step_divisor = (n-1) if endpoint else n self._step = (stop - start)/step_divisor @property def start(self): return self._start @property def step(self): return self._step def __repr__(self): endpoint = ', endpoint=False' if not self._endpoint else '' return f'loop_linspace({self._start}, {self._stop}, {self.n}{endpoint}):{self.loopvar}' class ArrayLoop(Loop): def __init__(self, loop_number, values): dtype = get_dtype(values[0]) super().__init__(loop_number, len(values), var_type=dtype) self.values = values for value in values[1:]: if get_dtype(values[0]) != dtype: raise Q1TypeError('Array values must all be same type') if dtype == float: literal_values = [value for value in values if isinstance(value, Number)] if max(literal_values) > 1.0 or min(literal_values) < -1.0: raise Q1ValueError('value out of range [-1.0, 1.0]') self._table_label = f'_table{self._loop_number}' self._data_ptr = Register(f'_ptr{self._loop_number}') @property def loopvar(self): return self._loopvar def __repr__(self): return f'loop_array({self.values}):{self.loopvar}'

30.6875

95

0.600233

453

3,437

4.242826

0.169978

0.078044

0.065557

0.031217

0.30437

0.278356

0.244537

0.185224

0

0.012648

0.286878

3,437

111

96

30.963964

0.771522

0.00611

0

0.329545

0

0.011364

0.130053

0.072935

0

1

0.181818

false

0

0.045455

0.113636

0.409091

0

null

0

null

0

1

0

1

56b14293ce8e3f37b76431fb8d2ed7001e30c62e

563

py

Python

apis/betterself/v1/signout/views.py

jeffshek/betterself

51468253fc31373eb96e0e82189b9413f3d76ff5

[ "MIT" ]

98

2017-07-29T14:26:36.000Z

2022-02-28T04:10:15.000Z

apis/betterself/v1/signout/views.py

jeffshek/betterself

51468253fc31373eb96e0e82189b9413f3d76ff5

[ "MIT" ]

1,483

2017-05-30T00:05:56.000Z

2022-03-31T12:37:06.000Z

apis/betterself/v1/signout/views.py

lawrendran/betterself

51468253fc31373eb96e0e82189b9413f3d76ff5

[ "MIT" ]

13

2017-11-08T00:02:35.000Z

2022-02-28T04:10:32.000Z

from django.contrib.auth import logout from django.views.generic import RedirectView class SessionLogoutView(RedirectView): """ A view that will logout a user out and redirect to homepage. """ permanent = False query_string = True pattern_name = 'home' def get_redirect_url(self, *args, **kwargs): """ Logout user and redirect to target url. """ if self.request.user.is_authenticated(): logout(self.request) return super(SessionLogoutView, self).get_redirect_url(*args, **kwargs)

28.15

79

0.664298

67

563

5.477612

0.626866

0.054496

0.070845

0

0.241563

563

19

80

29.631579

0.859485

0.17762

0

0.009434

0

1

0.1

false

0

0.2

0

0.8

0

null

0

null

0

1

0

1

56b4a1d9e88e438a1a646637bff86e026e3985e3

564

py

Python

service_catalog/tables/global_hook_tables.py

LaudateCorpus1/squest

98304f20c1d966fb3678d348ffd7c5be438bb6be

[ "Apache-2.0" ]

112

2021-04-21T08:52:55.000Z

2022-03-01T15:09:19.000Z

service_catalog/tables/global_hook_tables.py

LaudateCorpus1/squest

98304f20c1d966fb3678d348ffd7c5be438bb6be

[ "Apache-2.0" ]

216

2021-04-21T09:06:47.000Z

2022-03-30T14:21:28.000Z

service_catalog/tables/global_hook_tables.py

LaudateCorpus1/squest

98304f20c1d966fb3678d348ffd7c5be438bb6be

[ "Apache-2.0" ]

21

2021-04-20T13:53:54.000Z

2022-03-30T21:43:04.000Z

from django_tables2 import TemplateColumn from service_catalog.models import GlobalHook from Squest.utils.squest_table import SquestTable class GlobalHookTable(SquestTable): state = TemplateColumn(template_name='custom_columns/global_hook_state.html') actions = TemplateColumn(template_name='custom_columns/global_hook_actions.html', orderable=False) class Meta: model = GlobalHook attrs = {"id": "global_hook_table", "class": "table squest-pagination-tables"} fields = ("name", "model", "state", "job_template", "actions")

37.6

102

0.753546

64

564

6.421875

0.53125

0.072993

0.126521

0.155718

0.238443

0

0.002066

0.141844

564

14

103

40.285714

0.847107

0

0.289007

0.177305

0

1

0

false

0

0.3

0

0.7

0

null

0

null

0

1

0

1

56b6f5d648b635feba668eb6da3c0a9f3f8d3fbc

388

py

Python

django/axf/app/migrations/0004_remove_usermodel_ticket.py

zhang15780/web_project

820708ae68f4d1bc06cdde4a86e40a5457c11df8

[ "Apache-2.0" ]

null

django/axf/app/migrations/0004_remove_usermodel_ticket.py

zhang15780/web_project

820708ae68f4d1bc06cdde4a86e40a5457c11df8

[ "Apache-2.0" ]

null

django/axf/app/migrations/0004_remove_usermodel_ticket.py

zhang15780/web_project

820708ae68f4d1bc06cdde4a86e40a5457c11df8

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.11 on 2018-05-08 01:38 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('app', '0003_usermodel_ticket'), ] operations = [ migrations.RemoveField( model_name='usermodel', name='ticket', ), ]

19.4

46

0.610825

41

388

5.585366

0.780488

0

0.070922

0.273196

388

19

47

20.421053

0.741135

0.170103

0

1

0

0.122257

0.065831

0

1

0

false

0

0.166667

0

0.416667

0

null

0

1

0

null

0

1

56b95aef4c51bc2cb8ee77c4f2107d9a962b6662

288

py

Python

app/User/index.py

OpenHill/OpenHi

92279362b6513e066dd10f6ccbff8ab8a30b066e

[ "Apache-2.0" ]

null

app/User/index.py

OpenHill/OpenHi

92279362b6513e066dd10f6ccbff8ab8a30b066e

[ "Apache-2.0" ]

null

app/User/index.py

OpenHill/OpenHi

92279362b6513e066dd10f6ccbff8ab8a30b066e

[ "Apache-2.0" ]

null

from app.models.DB.mainDB import Post, User from . import user from flask import render_template @user.route("/") def n(): postlist = Post.query.filter().first() print(postlist.user.nikename) userlist = User.query.filter().first() print(userlist.post) return "app"

20.571429

43

0.690972

39

288

5.076923

0.564103

0.080808

0.161616

0.212121

0

0.170139

288

13

44

22.153846

0.828452

0

0.013889

0

1

0.1

false

0

0.3

0

0.5

0.2

0

null

0

1

0

null

0

1

56bb6e027a6dbdead08ed1b439c286d109ad9a29

3,347

py

Python

main.py

NilaiVemula/empty-my-fridge

0a9e7c214126e8d6e658f0a1e5d3bf50d5e2618c

[ "MIT" ]

null

main.py

NilaiVemula/empty-my-fridge

0a9e7c214126e8d6e658f0a1e5d3bf50d5e2618c

[ "MIT" ]

null

main.py

NilaiVemula/empty-my-fridge

0a9e7c214126e8d6e658f0a1e5d3bf50d5e2618c

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """Main script for Empty My Fridge project. Provides a CLI for the Spoonacular API. """ import requests from rich.console import Console import config def get_missing_ingredients(available_ingredients, amount_recipes): """ :param available_ingredients: comma separated list of ingredients the user has :type available_ingredients: str :param amount_recipes: number of recipes that the user wants :type amount_recipes: int :return: None """ # explanation of API parameters: https://spoonacular.com/food-api/docs#Search-Recipes-by-Ingredients # ingredients (string): A comma-separated list of ingredients that the recipes should contain. # number (number): The maximum number of recipes to return (between 1 and 100). Defaults to 10. # limitLicense (bool): Whether the recipes should have an open license that allows display with proper attribution. # ranking (number): Whether to maximize used ingredients (1) or minimize missing ingredients (2) first. # ignorePantry (bool): Whether to ignore typical pantry items, such as water, salt, flour, etc. parameters = { 'apiKey': config.API_KEY, 'ingredients': available_ingredients, 'number': amount_recipes, 'ranking': 2, 'ignorePantry': True } r = requests.get('https://api.spoonacular.com/recipes/findByIngredients/', params=parameters) data = r.json() recipes = [] missing_ingredients = [] links = [] for recipe in data: # get recipe information param = { 'apiKey': config.API_KEY, 'includeNutrition': False } a = requests.get('https://api.spoonacular.com/recipes/' + str(recipe['id']) + '/information', params=param) d = a.json() recipes.append(recipe['title']) list_of_missing = recipe['missedIngredients'] missing = [] for item in list_of_missing: missing.append(item['name']) missing_ingredients.append(', '.join(map(str, missing))) links.append(d['sourceUrl']) return recipes, missing_ingredients, links def main(): # initialize the rich environment for command line formatting console = Console() # get user inputs ingredients = console.input("Enter the ingredients you have (each separated by a comma and a space): ") amount_recipes = int(console.input("How many recipes do you want to see? ")) while amount_recipes < 1: amount_recipes = int(console.input("Please enter 1 or higher: ")) # call method to get results recipes, missing, links = get_missing_ingredients(ingredients, amount_recipes) # format output # unpack results and format into table from rich.table import Table # initialize table table = Table(title='Recipes you can make with ' + ingredients) table.add_column("Recipe Name", style="cyan") table.add_column("Missing Ingredients", style="magenta") table.add_column("Recipe Link", style="green") # load data for recipe, missing_ingredients, link in zip(recipes, missing, links): table.add_row(recipe, missing_ingredients, link) # FIXME: make full links and ingredient list show up in smaller windows console.print(table) if __name__ == "__main__": main()

34.505155

119

0.679414

411

3,347

5.437956

0.411192

0.072483

0.021477

0.017897

0.088591

0.035794

0

0.004975

0.219301

3,347

96

120

34.864583

0.850364

0.360323

0

0.041667

0

0.206814

0

0.010417

0

1

0.041667

false

0

0.083333

0

0.145833

0.020833

0

null

0

null

0

1

0

1

56ca1e265ad52858ba29fd79aa5275c28f935321

1,452

py

Python

UmrConf.py

pzia/useful-meeting-reminder

41b1bf6b0d57f8930700999503c1f0a66d78f0a6

[ "MIT" ]

2

2018-03-26T05:25:03.000Z

2019-12-15T18:18:54.000Z

UmrConf.py

pzia/useful-meeting-reminder

41b1bf6b0d57f8930700999503c1f0a66d78f0a6

[ "MIT" ]

null

UmrConf.py

pzia/useful-meeting-reminder

41b1bf6b0d57f8930700999503c1f0a66d78f0a6

[ "MIT" ]

null

# -*- coding: utf-8 -*- #config import configparser #sys & os import sys import os.path #set logging import logging logging.basicConfig(filename=os.path.join(os.path.dirname(os.path.abspath(sys.argv[0])), 'umr.log'),level=logging.DEBUG) #Set locale #FIXME : force French, should be in conf ? import locale locale.setlocale(locale.LC_TIME, 'fr_FR') #Initialisation to None gconfig = None #config helpers def localpath(): """Path of launcher, supposed to be the root of the tree""" return(os.path.dirname(os.path.abspath(sys.argv[0]))) def get_config(cname = 'umr.ini'): """Load config as a dict""" #Configuration global gconfig if gconfig == None : logging.info("Load config") gconfig = configparser.ConfigParser() gconfig.readfp(open(os.path.join(localpath(), cname))) #logging.info("Config loaded, user %s" % gconfig.get('User', 'login')) return gconfig def get_path(pathname_config, filename_config = None): """Helper to get pathname from config, and create if necessary""" #check path conf_path = os.path.join(localpath(), gconfig.get('Path', pathname_config)) if not os.path.exists(conf_path) : logging.debug("Creating %s", conf_path) os.mkdir(conf_path) if filename_config is not None: filename = gconfig.get("Files", filename_config) conf_path = os.path.join(conf_path, filename) return(conf_path) gconfig = get_config()

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1,452

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121

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0

null

0

null

0

1

0

1

56ca763bb9fa3b6b3fb0286e4da0963af3f62d4c

1,469

py

Python

booking/models.py

thanderoy/HotelBookingSys

5e2f769f75158ba271dfd10ed3850c4ca1364df3

[ "BSD-2-Clause" ]

null

booking/models.py

thanderoy/HotelBookingSys

5e2f769f75158ba271dfd10ed3850c4ca1364df3

[ "BSD-2-Clause" ]

1

2021-11-23T08:44:21.000Z

booking/models.py

thanderoy/HotelBookingSys

5e2f769f75158ba271dfd10ed3850c4ca1364df3

[ "BSD-2-Clause" ]

null

from django.db import models from django.conf import settings from django.urls import reverse # Create your models here. class Room(models.Model): ROOM_CATEGORIES = ( ('BZS', 'BUSINESS SUITE'), ('TNS', 'TWIN SUITE'), ('EXS', 'EXECUTIVE SUITE'), ('SGB', 'SINGLE BED'), ) room_number = models.IntegerField(null=True, blank=True) category = models.CharField(choices=ROOM_CATEGORIES, max_length=3) beds = models.IntegerField(null=True, blank=True) capacity = models.IntegerField(null=True, blank=True) price = models.FloatField(null=True, blank=True) image_url = models.CharField(max_length=1000, null=True,blank=True) def __str__(self): return f'{self.room_number}.{self.category} with {self.beds} bed(s) for {self.capacity} person(s) @ KSH. {self.price}' class Booking(models.Model): user = models.ForeignKey(settings.AUTH_USER_MODEL, on_delete=models.CASCADE) room = models.ForeignKey(Room, on_delete=models.CASCADE) check_in = models.DateTimeField() check_out = models.DateTimeField() def __str__(self): return f'{self.user} has booked {self.room} from {self.check_in} to {self.check_out}' def get_category(self): categories = dict(self.room.ROOM_CATEGORIES) category = categories.get(self.room.category) return category def cancel_booking(self): return reverse('booking:CancelBookingView', args=[self.pk, ])

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0.6855

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5.218085

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1,469

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128

36.725

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0

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0

1

0.129032

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0

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0

null

0

null

0

1

0

1

56d9ce9e3fcbd7a37b87e6ee3644f57b43b23284

3,110

py

Python

mopidy_frontend_for_adafruit_charlcdplate/Frontend.py

9and3r/mopidy-frontend-for-adafruit-charlcdplate

696e5f1c9174371907ef38ab3e00347ec7fb28e7

[ "Apache-2.0" ]

null

mopidy_frontend_for_adafruit_charlcdplate/Frontend.py

9and3r/mopidy-frontend-for-adafruit-charlcdplate

696e5f1c9174371907ef38ab3e00347ec7fb28e7

[ "Apache-2.0" ]

null

mopidy_frontend_for_adafruit_charlcdplate/Frontend.py

9and3r/mopidy-frontend-for-adafruit-charlcdplate

696e5f1c9174371907ef38ab3e00347ec7fb28e7

[ "Apache-2.0" ]

null

import threading from time import sleep from mopidy import core from MainScreen import MainScreen from InputManager import InputManager from DisplayObject import DisplayObject import pykka class FrontendAdafruitCharLCDPlate(pykka.ThreadingActor, core.CoreListener): def __init__(self, config, core): super(FrontendAdafruitCharLCDPlate, self).__init__() self.input_manager = InputManager() self.display_object = DisplayObject() if True: import Adafruit_CharLCD as LCD self.display = LCD.Adafruit_CharLCDPlate() else: from web_socket_lcd_simulator import WebSockectLCDSimulator self.display = WebSockectLCDSimulator() self.main_screen = MainScreen(core) self.running = True def on_start(self): # Add newline self.display.set_color(1.0, 0.0, 0.0) self.display.create_char(0, [16, 16, 16, 16, 16, 16, 0, 0]) self.display.create_char(1, [24, 24, 24, 24, 24, 24, 0, 0]) self.display.create_char(2, [28, 28, 28, 28, 28, 28, 0, 0]) self.display.create_char(3, [30, 30, 30, 30, 30, 30, 0, 0]) self.display.create_char(4, [31, 31, 31, 31, 31, 31, 0, 0]) try: self.display.on_start() except AttributeError: pass t = threading.Thread(target=self.start_working) t.start() def on_stop(self): self.running = False try: self.display.on_stop() except AttributeError: pass def send_screen_update(self): self.display.clear() self.display.message(self.display_object.getString()) def start_working(self): while self.running: self.update() sleep(0.03) def update(self): # Check inputs for event in self.input_manager.update(self.display): print event self.main_screen.input_event(event) if self.main_screen.check_and_update(self.display_object, True) or self.display_object.update(): self.send_screen_update() # Events def playback_state_changed(self, old_state, new_state): self.main_screen.playback_state_changed(old_state, new_state) def track_playback_started(self, tl_track): self.main_screen.track_playback_started(tl_track) def track_playback_ended(self, tl_track, time_position): self.main_screen.track_playback_ended(tl_track, time_position) def track_playback_paused(self, tl_track, time_position): self.main_screen.track_playback_paused(tl_track, time_position) def track_playback_resumed(self, tl_track, time_position): self.main_screen.track_playback_resumed(tl_track, time_position) def seeked(self, time_position): self.main_screen.seeked(time_position) def volume_changed(self, volume): self.main_screen.volume_changed(volume) def stream_title_changed(self, title): self.main_screen.stream_title_changed(title) def playlists_loaded(self): self.main_screen.playlists_loaded()

29.339623

104

0.668167

396

3,110

5

0.255051

0.094444

0.084848

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0.237374

0.169192

0.111111

0.075758

0

0.035548

0.240193

3,110

105

29.619048

0.80237

0.009968

0

0.085714

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null

0.028571

0.128571

null

0.014286

0

null

0

null

0

1

0

1

56dd60f209869d7af1b845822dbd7aa5a4dd5e06

1,038

gyp

Python

mine.gyp

indutny/mine.uv

2187dc6b4f13c5c71d852bfb4234b3168225013b

[ "Unlicense", "MIT" ]

6

2015-01-07T06:34:57.000Z

2021-09-02T15:18:14.000Z

mine.gyp

indutny/mine.uv

2187dc6b4f13c5c71d852bfb4234b3168225013b

[ "Unlicense", "MIT" ]

null

mine.gyp

indutny/mine.uv

2187dc6b4f13c5c71d852bfb4234b3168225013b

[ "Unlicense", "MIT" ]

null

{ "targets": [{ "target_name": "mine.uv", "type": "executable", "dependencies": [ "mine.uv-lib", ], "sources": [ "src/main.c", ], }, { "target_name": "mine.uv-lib", "type": "<(library)", "include_dirs": [ "src" ], "dependencies": [ "deps/uv/uv.gyp:libuv", "deps/openssl/openssl.gyp:openssl", "deps/zlib/zlib.gyp:zlib", ], "direct_dependent_settings": { "include_dirs": [ "src" ], }, "sources": [ "src/client.c", "src/client-handshake.c", "src/client-protocol.c", "src/format/anvil-encode.c", "src/format/anvil-parse.c", "src/format/nbt-common.c", "src/format/nbt-encode.c", "src/format/nbt-parse.c", "src/format/nbt-utils.c", "src/format/nbt-value.c", "src/protocol/framer.c", "src/protocol/parser.c", "src/utils/buffer.c", "src/utils/common.c", "src/utils/string.c", "src/server.c", "src/session.c", "src/world.c", ], }] }

21.183673

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0.513487

123

1,038

4.284553

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0.264933

1,038

48

42

21.625

0.690695

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0.227273

0

0.589595

0.314066

0

1

0

true

0

null

0

null

0

1

0

1

56e908fc2dbcd320e835739f93b05700c0192f60

1,059

py

Python

module/duplicates.py

aiskov/storekeeper

4413b523377974b69b57f514177f232a19269497

[ "Apache-2.0" ]

null

module/duplicates.py

aiskov/storekeeper

4413b523377974b69b57f514177f232a19269497

[ "Apache-2.0" ]

null

module/duplicates.py

aiskov/storekeeper

4413b523377974b69b57f514177f232a19269497

[ "Apache-2.0" ]

null

import os from hashlib import sha224 def search_duplicates(target, options=None): digests = dict() for root, dirs, files in os.walk(target): for item in files: path = '%s/%s' % (root, item) hash_digest = _create_digest(path) if hash_digest not in digests: digests[hash_digest] = set() digests[hash_digest].add(path) if 'verbose' in options and options.verbose and len(digests[hash_digest]) > 1: print 'Duplicates found by hash: %s' % hash_digest for file_path in digests[hash_digest]: print ' %s' % file_path return [value for key, value in digests.iteritems() if len(value) > 1] def _create_digest(target, buffer_size=50000000): hash_sum = sha224() with open(target) as f: while True: data = f.read(buffer_size) if not data: break hash_sum.update(data) return '[%s]->%s' % (os.path.getsize(target), hash_sum.hexdigest())

26.475

90

0.576959

135

1,059

4.385185

0.422222

0.118243

0.114865

0

0.022253

0.321058

1,059

39

91

27.153846

0.801113

0

0.05104

0

null

0

0.08

null

0.08

0

null

0

null

0

1

0

1

56ee3be0b0c7e78b9f55c418420f0b8ca2d9d317

1,430

py

Python

Game/migrations/0005_auto_20181108_1248.py

rusito-23/InvestSimulator

59c501813fc42e2a6a44d93ecffefbe070108144

[ "MIT" ]

null

Game/migrations/0005_auto_20181108_1248.py

rusito-23/InvestSimulator

59c501813fc42e2a6a44d93ecffefbe070108144

[ "MIT" ]

6

2020-06-05T20:06:51.000Z

2022-03-11T23:42:56.000Z

Game/migrations/0005_auto_20181108_1248.py

rusito-23/InvestSimulator

59c501813fc42e2a6a44d93ecffefbe070108144

[ "MIT" ]

1

2019-06-24T19:54:12.000Z

# Generated by Django 2.1.2 on 2018-11-08 12:48 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('Game', '0004_auto_20181106_1255'), ] operations = [ migrations.CreateModel( name='Loan', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('loaned', models.FloatField(default=-1)), ('due_date', models.DateField()), ('borrower', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='Game.Wallet')), ], ), migrations.CreateModel( name='LoanOffer', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('loaned', models.FloatField(default=-1)), ('interest_rate', models.FloatField(default=-1)), ('days', models.IntegerField(default=-1)), ('lender', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='Game.Wallet')), ], ), migrations.AddField( model_name='loan', name='offer', field=models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='Game.LoanOffer'), ), ]

36.666667

114

0.576923

146

1,430

5.527397

0.424658

0.049566

0.069393

0.109046

0.536555

0

0.033915

0.278322

1,430

38

115

37.631579

0.748062

0.031469

0

0.40625

1

0

0.104121

0.016631

0

1

0

false

0

0.0625

0

0.15625

0

null

0

1

0

null

0

1

56f371e5353c0afeca86a59339a84ebab13cdb12

3,119

py

Python

tests_manual/db_connection_3_FROM_CONFIG.py

BrainAnnex/brain-annex

07701ba0309c448e9030a19a10dca4d73c155afe

[ "MIT" ]

null

tests_manual/db_connection_3_FROM_CONFIG.py

BrainAnnex/brain-annex

07701ba0309c448e9030a19a10dca4d73c155afe

[ "MIT" ]

3

2021-12-19T03:58:42.000Z

2022-02-11T07:40:46.000Z

tests_manual/db_connection_3_FROM_CONFIG.py

BrainAnnex/brain-annex

07701ba0309c448e9030a19a10dca4d73c155afe

[ "MIT" ]

null

# Test of ability to connect to the Neo4j database from the credentials # in config file(s) variables NEO4J_HOST, NEO4J_USER, NEO4J_PASSWORD from configparser import ConfigParser from BrainAnnex.modules.neo_access.neo_access import NeoAccess print("About to test the database connection, using the credentials STORED in the configuration file(s)\n") # IMPORT AND VALIDATE THE CONFIGURABLE PARAMETERS # def extract_par(name, d, display=True) -> str: if name not in d: raise Exception(f"The configuration file needs a line with a value for {name}") value = d[name] if display: print(f"{name}: {value}") else: print(f"{name}: *********") return value ##### config = ConfigParser() # Attempt to import parameters from the default config file first, then from 'config.ini' # (possibly overwriting some or all values from the default config file) found_files = config.read(['../config.defaults.ini', '../config.ini']) #print("found_files: ", found_files) # This will be a list of the names of the files that were found if found_files == []: raise Exception("No configurations files found! Make sure to have a 'config.ini' file in the same folder as main.py") if found_files == ['config.defaults.ini']: raise Exception("Only found a DEFAULT version of the config file ('config.defaults.ini'); make sure to duplicate it, name it 'config.ini' and personalize it") if found_files == ['config.ini']: print("A local, personalized, version of the config file found ('config.ini'); all configuration will be based on this file") else: print("Two config files found: anything in 'config.ini' will over-ride any counterpart in 'config.defaults.ini'") #print ("Sections found in config file(s): ", config.sections()) if "SETTINGS" not in config: raise Exception("Incorrectly set up configuration file - the following line should be present at the top: [SETTINGS]") SETTINGS = config['SETTINGS'] NEO4J_HOST = extract_par("NEO4J_HOST", SETTINGS) NEO4J_USER = extract_par("NEO4J_USER", SETTINGS) NEO4J_PASSWORD = extract_par("NEO4J_PASSWORD", SETTINGS, display=False) MEDIA_FOLDER = extract_par("MEDIA_FOLDER", SETTINGS) UPLOAD_FOLDER = extract_par("UPLOAD_FOLDER", SETTINGS) PORT_NUMBER = extract_par("PORT_NUMBER", SETTINGS) # The Flask default is 5000 try: PORT_NUMBER = int(PORT_NUMBER) except Exception: raise Exception(f"The passed value for PORT_NUMBER ({PORT_NUMBER}) is not an integer as expected") # END OF CONFIGURATION IMPORT if not NEO4J_HOST \ or not NEO4J_USER \ or not NEO4J_PASSWORD: print("To run this test, ALL of the following variables must be set in the config file(s): NEO4J_HOST, NEO4J_USER, NEO4J_PASSWORD. " "Test skipped") else: # Attempt to connect to the Neo4j database from credentials in environment variables obj = NeoAccess(host=NEO4J_HOST, credentials=(NEO4J_USER, NEO4J_PASSWORD), debug=True, autoconnect=True) print("Version of the Neo4j driver: ", obj.version()) print("End of test")

38.506173

162

0.712408

445

3,119

4.896629

0.310112

0.032125

0.031207

0.030289

0.099128

0.056907

0.028453

0

0.009893

0.189804

3,119

81

163

38.506173

0.852394

0.216416

0

0.065217

0

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0.474248

0.027606

0

1

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false

0.108696

0.043478

0

0.086957

0.173913

0

null

0

null

0

1

0

1

56ff2ba473246165aa39a267af57e3ffba8e8382

766

py

Python

tests/docs/test_swportal.py

Saanidhyavats/dffml

5664a75aa7fcd5921b1a3e2da9203d94ed960286

[ "MIT" ]

3

2021-03-08T18:41:21.000Z

2021-06-05T20:15:14.000Z

tests/docs/test_swportal.py

NikhilBartwal/dffml

16180144f388924d9e5840c4aa80d08970af5e60

[ "MIT" ]

1

2021-03-20T07:05:55.000Z

tests/docs/test_swportal.py

NikhilBartwal/dffml

16180144f388924d9e5840c4aa80d08970af5e60

[ "MIT" ]

1

2021-04-19T23:58:26.000Z

import pathlib import unittest import platform from dffml import AsyncTestCase from dffml.util.testing.consoletest.cli import main as consoletest @unittest.skipIf( platform.system() in ["Windows", "Darwin"], f"Does not work on {platform.system()}", ) class TestSWPortal(AsyncTestCase): async def test_readme(self): await consoletest( [ str( pathlib.Path(__file__).parents[2] / "examples" / "swportal" / "README.rst" ), "--setup", str( pathlib.Path(__file__).parent / "swportal_consoletest_test_setup.py" ), ] )

25.533333

66

0.505222

65

766

5.769231

0.646154

0.048

0.074667

0.096

0

0.002179

0.400783

766

29

67

26.413793

0.814815

0

0.153846

0

0.151436

0.044386

0

1

0

true

0

0.192308

0

0.230769

0

null

0

null

0

1

0

1

7100d1bf6005dd52b07fe32271eb797c1309b6c4

1,038

py

Python

alipay/create_direct_pay_by_user/dpn/models.py

freeyoung/django-alipay3

34b8ea95229ab03eddc299be7da6219bb56ef25f

[ "MIT" ]

null

alipay/create_direct_pay_by_user/dpn/models.py

freeyoung/django-alipay3

34b8ea95229ab03eddc299be7da6219bb56ef25f

[ "MIT" ]

null

alipay/create_direct_pay_by_user/dpn/models.py

freeyoung/django-alipay3

34b8ea95229ab03eddc299be7da6219bb56ef25f

[ "MIT" ]

null

# -*- coding:utf-8 -*- from django.db import models from alipay import conf from alipay.models import AliPayBaseModel from alipay.create_direct_pay_by_user.dpn.signals import alipay_dpn_flagged, alipay_dpn_successful class AliPayDPN(AliPayBaseModel): """ AliPay DPN """ gmt_close = models.DateTimeField(blank=True, null=True) extra_common_param = models.CharField(blank=True, null=True, max_length=256) out_channel_type = models.CharField(blank=True, null=True, max_length=256) out_channel_amount = models.CharField(blank=True, null=True, max_length=256) out_channel_inst = models.CharField(blank=True, null=True, max_length=256) class Meta: db_table = 'alipay_dpn' verbose_name = 'AliPay DPN' def send_signals(self): if self.notify_type != 'trade_status_sync': return if self.is_transaction(): if self.flag: alipay_dpn_flagged.send(sender=self) else: alipay_dpn_successful.send(sender=self)

32.4375

98

0.693642

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1,038

5.051471

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0.094614

0.123726

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0

0.015892

0.211946

1,038

31

99

33.483871

0.823961

0.030829

0

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0

1

0.047619

false

0

0.190476

0

0.619048

0

null

0

null

0

1

0

1

71014c38dd434377dbc86a1671b95f35defbc373

2,555

py

Python

app/api/v2/views/user_views.py

MbuguaCaleb/Questioner-V2-API

9e3a5593250a12b74ad5dcbe220827040fa3d676

[ "MIT" ]

null

app/api/v2/views/user_views.py

MbuguaCaleb/Questioner-V2-API

9e3a5593250a12b74ad5dcbe220827040fa3d676

[ "MIT" ]

1

2019-01-19T13:10:02.000Z

app/api/v2/views/user_views.py

MbuguaCaleb/Questioner-V2-API

9e3a5593250a12b74ad5dcbe220827040fa3d676

[ "MIT" ]

null

from flask import jsonify, request from ...v2 import version_2 as v2 from ..schemas.user_schema import UserSchema from ..models.user_model import User db = User() @v2.route('/', methods=['GET']) @v2.route('/welcome', methods=['GET']) def index(): return jsonify({'status': 200, 'message': 'Welcome !! A meetup Application:'}), 200 @v2.route('/register', methods=['POST']) def register(): """ Function to register new user """ json_data = request.get_json() # No data has been provided if not json_data: return jsonify({'status': 400, 'message': 'No Sign up data provided'}), 400 # Check if request is valid data, errors = UserSchema().load(json_data) if errors: return jsonify({'status': 400, 'message' : 'Invalid data. Please fill all the required fields', 'errors': errors}), 400 # Checking if the username exists if db.exists('username', data['username']): return jsonify({'status': 409, 'message' : 'Username already exists'}), 409 # Checking if the email exists if db.exists('email', data['email']): return jsonify({'status': 409, 'message' : 'Email already exists'}), 409 # Save new user and get result new_user = db.save(data) result = UserSchema(exclude=['password']).dump(new_user).data return jsonify({ 'status': 201, 'message' : 'User created successfully', 'data': result, }), 201 @v2.route('/login', methods=['POST']) def login(): json_data = request.get_json() # Check if the request contains any data if not json_data: return jsonify({'status': 400, 'message': 'No data has provided! Please put your login credentials'}), 400 # Check if credentials have been passed data, errors = UserSchema().load(json_data, partial=True) if errors: return jsonify({'status': 400, 'message': 'Invalid data. Please fill all required fields', 'errors': errors}), 400 try: username = data['username'] password = data['password'] except: return jsonify({'status': 400, 'message': 'Invalid credentials.Confirm!'}), 400 # Check if username exists if not db.exists('username', username): return jsonify({'status': 404, 'message' : 'User not found'}), 404 user = db.find('username', username) # Checking if password match db.checkpassword(user['password'], password) return jsonify({ 'status': 200, 'message': 'User logged in successfully', }), 200

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2,555

84

128

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0.163265

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false

0.061224

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0.367347

0

null

0

null

0

1

0

1

7108effd9b9b381b5c4d66c7863ecea3a015fab6

305

py

Python

settings/__init__.py

xuehuiping/DCA

4d71593c78e59f035305e1983d92146c5156789d

[ "MIT" ]

5

2019-10-07T09:25:25.000Z

2019-11-05T08:40:44.000Z

settings/__init__.py

xuehuiping/DCA

4d71593c78e59f035305e1983d92146c5156789d

[ "MIT" ]

5

2019-10-31T02:51:55.000Z

2019-12-31T07:09:49.000Z

settings/__init__.py

QtNN/DCA

b48be18dab45006abc80b94445622893d0c142ba

[ "MIT" ]

2

2020-03-23T18:11:27.000Z

2020-12-14T10:48:00.000Z

"""Helpers to build the blocks of the training pipeline for users defined parameters. """ from .setup_xp import load_params, set_device, get_embedders from .model import build_multi_agt_summarizer __all__ = [ "build_multi_agt_summarizer", "load_params", "set_device", "get_embedders" ]

20.333333

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0.09434

0.122642

0.179245

0.292453

0

0.167213

305

14

61

21.785714

0.834646

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0.277778

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0

1

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false

0

0.25

0

0.25

0

null

0

1

0

null

0

1

7108f5884575eb480313b1e686e0da4928d0f2be

350

py

Python

relogic/logickit/serving/__init__.py

Impavidity/relogic

f647106e143cd603b95b63e06ea530cdd516aefe

[ "MIT" ]

24

2019-07-20T02:10:21.000Z

2022-03-15T07:13:07.000Z

relogic/logickit/serving/__init__.py

One-paper-luck/relogic

f647106e143cd603b95b63e06ea530cdd516aefe

[ "MIT" ]

3

2019-11-28T04:19:25.000Z

2019-11-30T23:29:19.000Z

relogic/logickit/serving/__init__.py

One-paper-luck/relogic

f647106e143cd603b95b63e06ea530cdd516aefe

[ "MIT" ]

5

2019-11-27T03:12:07.000Z

2021-12-08T11:45:43.000Z

from flask import Flask, jsonify, request app = Flask(__name__) @app.route('/') def index(): return jsonify("Hello World") class Server(object): def __init__(self, trainer=None): self.trainer = trainer def start(self): app.run(host="0.0.0.0", port=5000, debug=True) if __name__ == "__main__": server = Server() server.start()

17.5

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49

350

4.44898

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0.027523

0

0.027586

0.171429

350

20

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17.5

0.724138

0

0.076923

0

1

0.230769

false

0

0.076923

0.461538

0

null

0

null

0

1

0

1

7114c66935c88efa75790e08dde08f63c3013e83

28,361

py

Python

data_processor.py

ZouJoshua/deeptext_project

efb4db34a4a22951bba4ae724d05c41958bbd347

[ "Apache-2.0" ]

2

2021-03-01T06:37:27.000Z

2021-04-07T09:40:55.000Z

data_processor.py

ZouJoshua/deeptext_project

efb4db34a4a22951bba4ae724d05c41958bbd347

[ "Apache-2.0" ]

5

2020-09-26T01:16:58.000Z

2022-02-10T01:49:30.000Z

data_processor.py

ZouJoshua/deeptext_project

efb4db34a4a22951bba4ae724d05c41958bbd347

[ "Apache-2.0" ]

null

#!/usr/bin/env python # coding:utf8 # Copyright (c) 2018, Tencent. All rights reserved # This file contain DataProcessor class which can # 1. Generate dict from train text data: # Text format: label\t[(token )+]\t[(char )+]\t[(custom_feature )+]. # Label could be flattened or hierarchical which is separated by "--". # 2. Convert data to tfrecord according to dict and config. # 3. Provide input_fn for estimator train and serving. import codecs import json import os import sys from collections import Counter import tensorflow as tf import util from config import Config class DataProcessor(object): VOCAB_UNKNOWN = "_UNK" VOCAB_PADDING = "_PAD" # Text format: label\t[(token )+]\t[(char )+]\t[(custom_feature )+]. LINE_SPLIT_NUMBER = 4 # Index of line, also index in dict list LABEL_INDEX = 0 TOKEN_INDEX = 1 CHAR_INDEX = 2 CUSTOM_FEATURE_INDEX = 3 USE_SPECIAL_LABEL = False SPECIAL_LABEL_LIST = ["社会", "时政", "国际", "军事"] SPECIAL_LABEL = "|".join(SPECIAL_LABEL_LIST) # TODO(marvinmu): check config def __init__(self, config, logger=None): self.config = config if logger: self.logger = logger else: self.logger = util.Logger(config) self.dict_names = ["label", "token", "char", "custom_feature", "token_ngram", "char_ngram", "char_in_token"] self.dict_files = [] for dict_name in self.dict_names: self.dict_files.append( self.config.data.dict_dir + "/" + dict_name + ".dict") self.label_dict_file = self.dict_files[0] # Should keep all labels self.min_count = [0, self.config.feature_common.min_token_count, self.config.feature_common.min_char_count, self.config.var_len_feature.min_custom_feature_count, self.config.var_len_feature.min_token_ngram_count, self.config.var_len_feature.min_char_ngram_count, self.config.feature_common.min_char_count_in_token] # Should keep all labels self.max_dict_size = \ [1000 * 1000, self.config.feature_common.max_token_dict_size, self.config.feature_common.max_char_dict_size, self.config.var_len_feature.max_custom_feature_dict_size, self.config.var_len_feature.max_token_ngram_dict_size, self.config.var_len_feature.max_char_ngram_dict_size, self.config.feature_common.max_char_in_token_dict_size] # Label and custom feature has no max_sequence_length. self.max_sequence_length = \ [0, self.config.fixed_len_feature.max_token_sequence_length, self.config.fixed_len_feature.max_char_sequence_length, 0] # Label and custom feature has no ngram. self.ngram_list = [0, self.config.var_len_feature.token_ngram, self.config.var_len_feature.char_ngram, 0] self.label_map = dict() self.token_map = dict() self.char_map = dict() self.custom_feature_map = dict() self.token_gram_map = dict() self.char_gram_map = dict() self.char_in_token_map = dict() self.dict_list = [self.label_map, self.token_map, self.char_map, self.custom_feature_map, self.token_gram_map, self.char_gram_map, self.char_in_token_map] self.id_to_label_map = dict() self.id_to_token_map = dict() self.id_to_char_map = dict() self.id_to_custom_feature_map = dict() self.id_to_token_gram_map = dict() self.id_to_char_gram_map = dict() self.id_to_char_in_token_map = dict() self.id_to_vocab_dict_list = [ self.id_to_label_map, self.id_to_token_map, self.id_to_char_map, self.id_to_custom_feature_map, self.id_to_token_gram_map, self.id_to_char_gram_map, self.id_to_char_in_token_map] self.train_text_file, self.validate_text_file, self.test_text_file = \ self.config.data.train_text_file, \ self.config.data.validate_text_file, \ self.config.data.test_text_file self.tfrecord_files = [ self.config.data.tfrecord_dir + "/" + os.path.basename( self.train_text_file) + ".tfrecord", self.config.data.tfrecord_dir + "/" + os.path.basename( self.validate_text_file) + ".tfrecord", self.config.data.tfrecord_dir + "/" + os.path.basename( self.test_text_file) + ".tfrecord"] self.train_file, self.validate_file, self.test_file = \ self.tfrecord_files self.feature_files = [ self.config.data.tfrecord_dir + "/" + os.path.basename( self.train_text_file) + ".feature", self.config.data.tfrecord_dir + "/" + os.path.basename( self.validate_text_file) + ".feature", self.config.data.tfrecord_dir + "/" + os.path.basename( self.test_text_file) + ".feature"] (self.train_feature_file, self.validate_feature_file, self.test_feature_file) = self.feature_files self.pretrained_embedding_files = [ "", config.feature_common.token_pretrained_embedding_file, config.feature_common.char_pretrained_embedding_file, config.var_len_feature.custom_feature_pretrained_embedding_file, ] self.int_list_column = ["fixed_len_token", "var_len_token", "char_in_token", "char_in_token_real_len", "fixed_len_char", "var_len_char", "var_len_token_ngram", "var_len_char_ngram", "var_len_custom_feature"] self.int_column = ["token_fixed_real_len", "char_fixed_real_len"] self.float_column = ["token_var_real_len", "char_var_real_len", "token_ngram_var_real_len", "char_ngram_var_real_len", "custom_feature_var_real_len"] def _save_dict(self, dict_file, counter, name): """Save all vocab to file. Args: dict_file: File to save to. counter: Vocab counts. name: Dict name. """ dict_list = counter.most_common() dict_file = codecs.open(dict_file, "w", encoding=util.CHARSET) # Save _UNK for vocab not in dict and _PAD for padding count = 1000 * 1000 # Must bigger than min count if name != "label": dict_list = [(self.VOCAB_PADDING, count), (self.VOCAB_UNKNOWN, count)] + dict_list for vocab in dict_list: dict_file.write("%s\t%d\n" % (vocab[0], vocab[1])) dict_file.close() self.logger.info("Total count of %s: %d" % (name, len(dict_list))) def _load_dict(self, dict_map, id_to_vocab_dict_map, dict_file, min_count, max_dict_size, name): """Load dict according to params. Args: dict_map: Vocab dict map. id_to_vocab_dict_map: Id to vocab dict map. dict_file: File to load. min_count: Vocab whose count is equal or greater than min_count will be loaded. max_dict_size: Load top max_dict_size vocabs sorted by count. name: Dict name. Returns: dict. """ if not os.path.exists(dict_file): self.logger.warn("Not exists %s for %s" % (dict_file, name)) else: for line in codecs.open(dict_file, "r", encoding=util.CHARSET): vocab = line.strip("\n").split("\t") try: temp = vocab[1] except IndexError: continue if int(temp) >= min_count: index = len(dict_map) dict_map[vocab[0]] = index id_to_vocab_dict_map[index] = vocab[0] if len(dict_map) >= max_dict_size: self.logger.warn( "Reach the max size(%d) of %s, ignore the rest" % ( max_dict_size, name)) break self.logger.info("Load %d vocab of %s" % (len(dict_map), name)) def load_all_dict(self): """Load all dict. """ for i, dict_name in enumerate(self.dict_names): self._load_dict(self.dict_list[i], self.id_to_vocab_dict_list[i], self.dict_files[i], self.min_count[i], self.max_dict_size[i], dict_name) def _generate_dict(self, text_file_list): """Generate dict and label dict given train text file. Save all vocab to files and load dicts. Text format: label\t[(token )+]\t[(char )+]\t[(feature )+]. Label could be flattened or hierarchical which is separated by "--". Args: text_file_list: Text file list, usually only contain train text file. """ sample_size = 0 label_counter = Counter() token_counter = Counter() char_in_token_counter = Counter() token_ngram_counter = Counter() char_counter = Counter() char_ngram_counter = Counter() custom_feature_counter = Counter() counters = [label_counter, token_counter, char_counter, custom_feature_counter, token_ngram_counter, char_ngram_counter, char_in_token_counter] for text_file in text_file_list: self.logger.info("Generate dict using text file %s" % text_file) for line in codecs.open(text_file, "r", encoding='utf8'): content = line.strip("\n").split('\t') if len(content) != self.LINE_SPLIT_NUMBER: self.logger.error("Wrong line: %s" % line) continue sample_size += 1 for i, _ in enumerate(content): vocabs = content[i].strip().split(" ") counters[i].update(vocabs) if i == self.LABEL_INDEX: # 增加特殊类处理 if vocabs[0] in self.SPECIAL_LABEL_LIST and self.USE_SPECIAL_LABEL: vocabs = [self.SPECIAL_LABEL] counters[i].update(vocabs) # If vocab is token, extract char info of each token if i == self.TOKEN_INDEX: char_in_token = [] for vocab in vocabs: char_in_token.extend(vocab) char_in_token_counter.update(char_in_token) if self.ngram_list[i] > 1: ngram_list = [] for j in range(2, self.ngram_list[i] + 1): ngram_list.extend(["".join(vocabs[k:k + j]) for k in range(len(vocabs) - j + 1)]) counters[i + 3].update(ngram_list) for counter in counters: if "" in counter.keys(): counter.pop("") self.logger.info("sample size: %d" % sample_size) for i, dict_name in enumerate(self.dict_names): self._save_dict(self.dict_files[i], counters[i], self.dict_names[i]) def _get_vocab_id_list(self, dict_map, vocabs, ngram, sequence_length, max_var_length, ngram_dict_map=None, char_in_token_map=None, max_char_sequence_length_per_token=-1): """Convert vocab string list to vocab id list. Args: dict_map: Dict used to map string to id. vocabs: Vocab string list. ngram: Ngram to use (if bigger than 1). sequence_length: List length for fixed length vocab id list. max_var_length: List length for var length vocab id list. ngram_dict_map: Ngram dict map. max_char_sequence_length_per_token: Useful when using char to get token embedding. Returns: fixed length vocab id list, real length of fixed vocab id list, var length vocab id list, ngram string list. """ if len(dict_map) == 0 or len(vocabs) == 0: return [], 0, [], [], [], [] vocabs_iter = [x for x in vocabs if x in dict_map] var_len_vocabs = [dict_map[x] for x in vocabs_iter] if len(var_len_vocabs) > max_var_length: var_len_vocabs = var_len_vocabs[0:max_var_length] if not var_len_vocabs: var_len_vocabs.append(dict_map[self.VOCAB_UNKNOWN]) if len(vocabs) > sequence_length: vocabs = vocabs[0:sequence_length] fixed_len_vocabs = [] fixed_len_vocabs.extend( [dict_map[x] if x in dict_map else dict_map[self.VOCAB_UNKNOWN] for x in vocabs]) fixed_real_len = len(fixed_len_vocabs) if fixed_real_len < sequence_length: fixed_len_vocabs.extend([dict_map[self.VOCAB_PADDING]] * ( sequence_length - len(fixed_len_vocabs))) ngram_list = [] if ngram > 1: ngram_list_str = [] for i in range(2, ngram + 1): ngram_list_str.extend(["".join(vocabs[j:j + i]) for j in range(len(vocabs) - i + 1)]) ngram_iter = [x for x in ngram_list_str if x in ngram_dict_map] ngram_list = [ngram_dict_map[x] for x in ngram_iter] if not ngram_list: ngram_list.append(ngram_dict_map[self.VOCAB_UNKNOWN]) char_in_token = [] char_in_token_real_len = [] if max_char_sequence_length_per_token > 0: length = 0 for vocab in vocabs: length += 1 chars = [] chars.extend( [char_in_token_map[x] if x in char_in_token_map else char_in_token_map[self.VOCAB_UNKNOWN] for x in vocab]) if len(chars) > max_char_sequence_length_per_token: chars = chars[0:max_char_sequence_length_per_token] char_in_token_real_len.append(len(chars)) if len(chars) < max_char_sequence_length_per_token: chars.extend([char_in_token_map[self.VOCAB_PADDING]] * ( max_char_sequence_length_per_token - len(chars))) char_in_token.extend(chars) while length < sequence_length: length += 1 char_in_token.extend( [char_in_token_map[self.VOCAB_PADDING]] * max_char_sequence_length_per_token) char_in_token_real_len.append(0) return (fixed_len_vocabs, fixed_real_len, var_len_vocabs, ngram_list, char_in_token, char_in_token_real_len) def _get_features_from_text(self, text, has_label=True): """Parse text to features that model can use. Args: text: Input text has_label: If true, result will contain label. Returns: Features that model can use. """ content = text.split('\t') if len(content) != self.LINE_SPLIT_NUMBER: self.logger.error("Wrong format line: %s" % text) return None label_string = content[self.LABEL_INDEX] if has_label and label_string not in self.label_map: self.logger.error("Wrong label of line: %s" % text) return None token = content[self.TOKEN_INDEX].strip().split(" ") (fixed_len_token, token_fixed_real_len, var_len_token, var_len_token_ngram, char_in_token, char_in_token_real_len) = \ self._get_vocab_id_list( self.token_map, token, self.config.var_len_feature.token_ngram, self.config.fixed_len_feature.max_token_sequence_length, self.config.var_len_feature.max_var_token_length, self.token_gram_map, self.char_in_token_map, self.config.fixed_len_feature.max_char_length_per_token) chars = content[self.CHAR_INDEX].strip().split(" ") (fixed_len_char, char_fixed_real_len, var_len_char, var_len_char_ngram, _, _) = self._get_vocab_id_list( self.char_map, chars, self.config.var_len_feature.char_ngram, self.config.fixed_len_feature.max_char_sequence_length, self.config.var_len_feature.max_var_char_length, self.char_gram_map) custom_features = content[self.CUSTOM_FEATURE_INDEX].strip().split( " ") _, _, var_len_custom_feature, _, _, _ = self._get_vocab_id_list( self.custom_feature_map, custom_features, 0, 0, 0, self.config.var_len_feature.max_var_custom_feature_length, None) feature_sample = dict({ "fixed_len_token": fixed_len_token, "token_fixed_real_len": token_fixed_real_len, "var_len_token": var_len_token, "token_var_real_len": len(var_len_token), "char_in_token": char_in_token, "char_in_token_real_len": char_in_token_real_len, "var_len_token_ngram": var_len_token_ngram, "token_ngram_var_real_len": len(var_len_token_ngram), "fixed_len_char": fixed_len_char, "char_fixed_real_len": char_fixed_real_len, "var_len_char": var_len_char, "char_var_real_len": len(var_len_char), "var_len_char_ngram": var_len_char_ngram, "char_ngram_var_real_len": len(var_len_char_ngram), "var_len_custom_feature": var_len_custom_feature, "custom_feature_var_real_len": len(var_len_custom_feature) }) if has_label: label = self.label_map[content[0]] if content[self.LABEL_INDEX] in self.SPECIAL_LABEL_LIST and self.USE_SPECIAL_LABEL: label = self.label_map[self.SPECIAL_LABEL] feature_sample["label"] = label return feature_sample def _convert_features_to_tfexample(self, feature_sample, has_label=True): """Convert feature sample to tf.example Args: feature_sample: Feature sample. has_label: If true, result will contain label Returns: tf.example """ if not feature_sample: return None tfexample = tf.train.Example() for name in self.int_list_column: tfexample.features.feature[name].int64_list.value.extend( feature_sample[name]) for name in self.int_column: tfexample.features.feature[name].int64_list.value.append( feature_sample[name]) for name in self.float_column: tfexample.features.feature[name].float_list.value.append( feature_sample[name]) if has_label: tfexample.features.feature["label"].int64_list.value.append( feature_sample["label"]) return tfexample def get_tfexample_from_text(self, text, has_label=True): feature_sample = self._get_features_from_text(text, has_label) tfexample = self._convert_features_to_tfexample(feature_sample, has_label) return tfexample, feature_sample def _get_tfrecord_from_text_file(self, text_file, tfrecord_file, feature_file): """Get tfrecord from text file. Text format: label\t[(token )+]\t[(char )+]\t[(feature )+]. Label could be flattened or hierarchical which is separated by "--". Args: text_file: Text file. tfrecord_file: Tfrecord file to write. feature_file: Feature file, will save feature sample for debug. For validate and test evaluation """ self.logger.info("Get tfrecord from text file %s" % text_file) writer = tf.python_io.TFRecordWriter(tfrecord_file) sample_size = 0 with codecs.open(feature_file, "w", encoding=util.CHARSET) as label_file: for line in codecs.open(text_file, "r", encoding='utf8'): tfexample, feature_sample = self.get_tfexample_from_text(line) if tfexample is not None: feature_str = json.dumps(feature_sample, ensure_ascii=False) label_file.write( self.id_to_label_map[feature_sample["label"]] + "\t" + feature_str + "\n") writer.write(tfexample.SerializeToString()) sample_size += 1 writer.close() self.logger.info( "Text file %s has sample %d" % (text_file, sample_size)) def process_from_text_file(self, use_exists_dict=False): """Process text data to tfrecord for training and generate dicts. """ if not os.path.exists(self.config.data.tfrecord_dir): os.makedirs(self.config.data.tfrecord_dir) if not os.path.exists(self.config.data.dict_dir): os.makedirs(self.config.data.dict_dir) if use_exists_dict: self.load_all_dict() else: self._generate_dict([self.config.data.train_text_file]) # If using pretrained embedding, dict can be generated by all text file. # when repeating the result in the paper of textcnn, the following code # should be used. # self._generate_dict([self.config.data.train_text_file, # self.config.data.validate_text_file, # self.config.data.test_text_file]) self.load_all_dict() text_files = [self.config.data.train_text_file, self.config.data.validate_text_file, self.config.data.test_text_file] for i, text_file in enumerate(text_files): self._get_tfrecord_from_text_file(text_file, self.tfrecord_files[i], self.feature_files[i]) @staticmethod def _get_feature_spec(has_label): """Feature map to parse tf.example Args: has_label: If true, feature map include label Return: feature map """ feature_spec = dict({ "fixed_len_token": tf.VarLenFeature(dtype=tf.int64), "token_fixed_real_len": tf.FixedLenFeature(shape=(1,), dtype=tf.int64), "var_len_token": tf.VarLenFeature(dtype=tf.int64), "token_var_real_len": tf.FixedLenFeature(shape=(1,), dtype=tf.float32), "char_in_token": tf.VarLenFeature(dtype=tf.int64), "char_in_token_real_len": tf.VarLenFeature(dtype=tf.int64), "var_len_token_ngram": tf.VarLenFeature(dtype=tf.int64), "token_ngram_var_real_len": tf.FixedLenFeature(shape=(1,), dtype=tf.float32), "fixed_len_char": tf.VarLenFeature(dtype=tf.int64), "char_fixed_real_len": tf.FixedLenFeature(shape=(1,), dtype=tf.int64), "var_len_char": tf.VarLenFeature(dtype=tf.int64), "char_var_real_len": tf.FixedLenFeature(shape=(1,), dtype=tf.float32), "var_len_char_ngram": tf.VarLenFeature(dtype=tf.int64), "char_ngram_var_real_len": tf.FixedLenFeature(shape=(1,), dtype=tf.float32), "var_len_custom_feature": tf.VarLenFeature(dtype=tf.int64), "custom_feature_var_real_len": tf.FixedLenFeature(shape=(1,), dtype=tf.float32), }) if has_label: feature_spec["label"] = tf.FixedLenFeature(shape=(1,), dtype=tf.int64) return feature_spec def check_tfrecord(self, file_names, field_name, dtype=tf.int32): """Check one field of tfrecord Args: file_names: List of file names. field_name: Field to check. dtype: Field data type. """ filename_queue = tf.train.string_input_producer(file_names, shuffle=False) reader = tf.TFRecordReader() _, serialized_example = reader.read(filename_queue) features = tf.parse_single_example(serialized_example, self._get_feature_spec(True)) feature = tf.cast(features[field_name], dtype) check_file = codecs.open("tf_check.txt", "w", encoding=util.CHARSET) with tf.Session(config=tf.ConfigProto( device_count={"CPU":12}, inter_op_parallelism_threads=1, intra_op_parallelism_threads=1, gpu_options=gpu_options, )) as sess: #with tf.Session() as sess: init_op = tf.global_variables_initializer() sess.run(init_op) coord = tf.train.Coordinator() threads = tf.train.start_queue_runners(coord=coord) check_file.write(feature.eval()) coord.request_stop() coord.join(threads) check_file.close() def _parse_tfexample(self, example, mode=tf.estimator.ModeKeys.TRAIN): """Parse input example. Args: example: Tf.example. mode: Estimator mode. Return: parsed feature and label. """ parsed = tf.parse_single_example(example, self._get_feature_spec(True)) parsed = self._sparse_to_dense(parsed) label = None if mode != tf.estimator.ModeKeys.PREDICT: label = parsed.pop("label") return parsed, label def _sparse_to_dense(self, parsed_example): for key in self.int_list_column: if "var" not in key: parsed_example[key] = tf.sparse_tensor_to_dense( parsed_example[key]) return parsed_example def dataset_input_fn(self, mode, input_file, batch_size, num_epochs=1): """Input function using tf.dataset for estimator Args: mode: input mode of tf.estimator.ModeKeys.{TRAIN, EVAL, PREDICT}. input_file: Input tfrecord file. batch_size: Batch size for model. num_epochs: Number epoch. Returns: tf.dataset """ dataset = tf.data.TFRecordDataset(input_file) dataset = dataset.map(self._parse_tfexample) if mode != tf.estimator.ModeKeys.PREDICT: dataset = dataset.shuffle( buffer_size=self.config.data.shuffle_buffer) dataset = dataset.repeat(num_epochs) dataset = dataset.batch(batch_size) return dataset def serving_input_receiver_fn(self): """Input function for session server Returns: input_receiver_fn for session server """ serialized_tf_example = tf.placeholder( dtype=tf.string, name='input_example_tensor') receiver_tensors = {'examples': serialized_tf_example} parsed_example = tf.parse_example(serialized_tf_example, self._get_feature_spec(False)) parsed_example = self._sparse_to_dense(parsed_example) return tf.estimator.export.ServingInputReceiver(parsed_example, receiver_tensors) def main(_): config = Config(config_file=sys.argv[1]) data_processor = DataProcessor(config) data_processor.process_from_text_file() if __name__ == '__main__': tf.app.run()

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0.111359

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null

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null

0

1

71156411fe36becbc71f0c141f19cc2f60370ca9

538

py

Python

openerp/addons/web_diagram/__openerp__.py

ntiufalara/openerp7

903800da0644ec0dd9c1dcd34205541f84d45fe4

[ "MIT" ]

3

2016-01-29T14:39:49.000Z

2018-12-29T22:42:00.000Z

openerp/addons/web_diagram/__openerp__.py

ntiufalara/openerp7

903800da0644ec0dd9c1dcd34205541f84d45fe4

[ "MIT" ]

2

2016-03-23T14:29:41.000Z

2017-02-20T17:11:30.000Z

openerp/addons/web_diagram/__openerp__.py

ntiufalara/openerp7

903800da0644ec0dd9c1dcd34205541f84d45fe4

[ "MIT" ]

null

{ 'name': 'OpenERP Web Diagram', 'category': 'Hidden', 'description': """ Openerp Web Diagram view. ========================= """, 'version': '2.0', 'depends': ['web'], 'js': [ 'static/lib/js/raphael.js', 'static/lib/js/jquery.mousewheel.js', 'static/src/js/vec2.js', 'static/src/js/graph.js', 'static/src/js/diagram.js', ], 'css': [ 'static/src/css/base_diagram.css', ], 'qweb': [ 'static/src/xml/*.xml', ], 'auto_install': True, }

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null

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null

0

1

0

1

71194ec745a663de0dbcd5a9d549628cdd546302

2,578

py

Python

Xiuzhen_MongoDB.py

cby3149/Novel_sender

f59e4b70e80193b2d47a24b2bdc969365f2bf251

[ "MIT" ]

null

Xiuzhen_MongoDB.py

cby3149/Novel_sender

f59e4b70e80193b2d47a24b2bdc969365f2bf251

[ "MIT" ]

null

Xiuzhen_MongoDB.py

cby3149/Novel_sender

f59e4b70e80193b2d47a24b2bdc969365f2bf251

[ "MIT" ]

null

# -*- coding: utf-8 -*- import requests from bs4 import BeautifulSoup import smtplib from email.mime.text import MIMEText import time import pymongo #------------------------------------------------- client = pymongo.MongoClient() db = client.noval collection = db.xiuzhen #------------------------------------------------- t = 1 c = 0 while True: t += 1 url = 'https://www.booktxt.net/1_1439/' headers = { 'User_Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_2)' + 'AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36'} r = requests.get(url, headers=headers).content bs = BeautifulSoup(r, 'lxml', from_encoding='utf-8') for each in bs.find_all(class_="box_con"): for i in each.find_all('a'): href = i.get('href') title = i.string href = url + href if href.find('html') == -1: pass else: if collection.find_one({'Link':href}) == None: response = requests.get(href, headers=headers).content r = BeautifulSoup(response, 'lxml', from_encoding='uft-8') content = r.find_all(id="content")[0] content = str(content).replace(' ', '\n') content = content.replace('<div id="content">', '') mail_host = "smtp.gmail.com" mail_user = "Email account" mail_pass = "Password" sender = 'Same as mail_user' receivers = ['Receiver email address'] title = title message = MIMEText(content, 'plain', 'utf-8') message['From'] = "{}".format(sender) message['To'] = ",".join(receivers) message['Subject'] = title try: smtpObj = smtplib.SMTP_SSL(mail_host, 465) smtpObj.login(mail_user, mail_pass) smtpObj.sendmail(sender, receivers, message.as_string()) print("mail has been send successfully.") except smtplib.SMTPException as e: print(e) collection.insert_one({'Title':title,'Link':href}) c = c + 1 if c == 0: print("running " +str(t) + " times," + " no new chapter find") else: print("running " +str(t) + " times," + ' Find new chapter') c = 0 time.sleep(86400)

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null

0

null

0

1

0

1

711a5cd8239c681a5dc0a53833847add9bd9b2ce

8,578

py

Python

storops/vnx/xmlapi_parser.py

tunaruraul/storops

7092c516c55b4c2f00c7c22383e1ad46ecfec091

[ "Apache-2.0" ]

60

2016-04-18T23:42:10.000Z

2022-03-23T02:26:03.000Z

storops/vnx/xmlapi_parser.py

tunaruraul/storops

7092c516c55b4c2f00c7c22383e1ad46ecfec091

[ "Apache-2.0" ]

317

2016-05-25T06:45:37.000Z

2022-03-25T13:22:38.000Z

storops/vnx/xmlapi_parser.py

tunaruraul/storops

7092c516c55b4c2f00c7c22383e1ad46ecfec091

[ "Apache-2.0" ]

34

2016-03-18T02:39:12.000Z

2022-01-07T12:54:14.000Z

# coding=utf-8 # Copyright (c) 2015 EMC Corporation. # 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 __future__ import unicode_literals import logging import re import six from xml import etree __author__ = 'Jay Xu' log = logging.getLogger(__name__) class XMLAPIParser(object): def __init__(self): # The following Boolean acts as the flag for the common sub-element. # For instance: # <CifsServers> # <li> server_1 </li> # </CifsServers> # <Alias> # <li> interface_1 </li> # </Alias> self.tag = None self.elt = {} self.stack = [] @staticmethod def _delete_ns(tag): i = tag.find('}') if i >= 0: tag = tag[i + 1:] return tag def parse(self, xml): result = { 'type': None, 'taskId': None, 'maxSeverity': None, 'objects': [], 'problems': [], } events = ("start", "end") context = etree.ElementTree.iterparse(six.BytesIO(xml.encode('utf-8')), events=events) for action, elem in context: self.tag = self._delete_ns(elem.tag) func = self._get_func(action, self.tag) self.track_stack(action, elem) if func in vars(XMLAPIParser): if action == 'start': eval('self.' + func)(elem, result) elif action == 'end': eval('self.' + func)(elem, result) return result def track_stack(self, action, elem): if action == 'start': self.stack.append(elem) elif action == 'end': self.stack.pop() @staticmethod def _get_func(action, tag): if tag == 'W2KServerData': return action + '_' + 'w2k_server_data' temp_list = re.sub(r"([A-Z])", r" \1", tag).split() if temp_list: func_name = action + '_' + '_'.join(temp_list) else: func_name = action + '_' + tag return func_name.lower() @staticmethod def _copy_property(source, target): for key in source: target[key] = source[key] @classmethod def _append_elm_property(cls, elm, result, identifier): for obj in result['objects']: if cls.has_identifier(obj, elm, identifier): for key, value in elm.attrib.items(): obj[key] = value @staticmethod def has_identifier(obj, elm, identifier): return (identifier in obj and identifier in elm.attrib and elm.attrib[identifier] == obj[identifier]) def _append_element(self, elm, result, identifier): sub_elm = {} self._copy_property(elm.attrib, sub_elm) for obj in result['objects']: if self.has_identifier(obj, elm, identifier): if self.tag in obj: obj[self.tag].append(sub_elm) else: obj[self.tag] = [sub_elm] def start_task_response(self, elm, result): result['type'] = 'TaskResponse' self._copy_property(elm.attrib, result) @staticmethod def start_fault(_, result): result['type'] = 'Fault' def _parent_tag(self): if len(self.stack) >= 2: parent = self.stack[-2] ret = self._delete_ns(parent.tag) else: ret = None return ret def start_status(self, elm, result): parent_tag = self._parent_tag() if parent_tag == 'TaskResponse': result['maxSeverity'] = elm.attrib['maxSeverity'] elif parent_tag in ['MoverStatus', 'Vdm', 'MoverHost']: self.elt['maxSeverity'] = elm.attrib['maxSeverity'] def start_query_status(self, elm, result): result['type'] = 'QueryStatus' self._copy_property(elm.attrib, result) def start_problem(self, elm, result): self.elt = {} self._copy_property(elm.attrib, self.elt) result['problems'].append(self.elt) def start_description(self, elm, _): self.elt['Description'] = elm.text def start_action(self, elm, _): self.elt['Action'] = elm.text def start_diagnostics(self, elm, _): self.elt['Diagnostics'] = elm.text def start_file_system(self, elm, result): self._as_object(elm, result) def start_file_system_capacity_info(self, elm, result): identifier = 'fileSystem' self._append_elm_property(elm, result, identifier) def start_storage_pool(self, elm, result): self._as_object(elm, result) def start_system_storage_pool_data(self, elm, _): self._copy_property(elm.attrib, self.elt) def start_mover(self, elm, result): self._as_object(elm, result) def start_mover_host(self, elm, result): self._as_object(elm, result) def start_nfs_export(self, elm, result): self._as_object(elm, result) def _as_object(self, elm, result): self.elt = {} self._copy_property(elm.attrib, self.elt) result['objects'].append(self.elt) def start_mover_status(self, elm, result): identifier = 'mover' self._append_elm_property(elm, result, identifier) def start_mover_route(self, elm, result): self._append_element(elm, result, 'mover') def start_mover_deduplication_settings(self, elm, result): self._append_element(elm, result, 'mover') def start_mover_dns_domain(self, elm, result): self._append_element(elm, result, 'mover') def start_mover_interface(self, elm, result): self._append_element(elm, result, 'mover') def start_logical_network_device(self, elm, result): self._append_element(elm, result, 'mover') def start_vdm(self, elm, result): self._as_object(elm, result) def _add_element(self, name, item): if name not in self.elt: self.elt[name] = [] self.elt[name].append(item) def start_li(self, elm, _): parent_tag = self._parent_tag() host_nodes = ('AccessHosts', 'RwHosts', 'RoHosts', 'RootHosts') if parent_tag == 'CifsServers': self._add_element('CifsServers', elm.text) elif parent_tag == 'Aliases': self._add_element('Aliases', elm.text) elif parent_tag == 'Interfaces': self._add_element('Interfaces', elm.text) elif parent_tag in host_nodes: if parent_tag not in self.elt: self.elt[parent_tag] = [] self.elt[parent_tag].append(elm.text) def start_cifs_server(self, elm, result): self._as_object(elm, result) def start_w2k_server_data(self, elm, _): self._copy_property(elm.attrib, self.elt) def start_cifs_share(self, elm, result): self._as_object(elm, result) def start_checkpoint(self, elm, result): self._as_object(elm, result) def start_ro_file_system_hosts(self, elm, _): self._copy_property(elm.attrib, self.elt) def start_standalone_server_data(self, elm, _): self._copy_property(elm.attrib, self.elt) def start_fibre_channel_device_data(self, elm, _): self._copy_attrib_to_parent(elm) def start_network_device_data(self, elm, _): self._copy_attrib_to_parent(elm) def _copy_attrib_to_parent(self, elm): if len(self.stack) >= 2: parent = self.stack[-2] for k, v in elm.attrib.items(): parent.attrib[k] = v def start_mover_motherboard(self, elm, result): self._append_element(elm, result, 'moverHost') def end_physical_device(self, elm, result): self._append_element(elm, result, 'moverHost') def start_fc_descriptor(self, elm, result): self._append_element(elm, result, 'moverHost') def start_mount(self, elm, result): self._as_object(elm, result)

31.07971

79

0.600023

1,050

8,578

4.671429

0.214286

0.086239

0.068909

0.069317

0.394495

0.326606

0.291132

0.2842

0.234455

0

0.003591

0.285731

8,578

275

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31.192727

0.796964

0.09571

0

0.289474

0

0.059097

0

1

0.252632

false

0

0.026316

0.005263

0.315789

0

null

0

null

0

1

0

1

711bc5a70ab83ad507c97768d9fc033d0adfbe89

1,033

py

Python

hello.py

pangtouyu/flasky4a

39926626e15820b5939d5e13fb08efd3c95daaf4

[ "MIT" ]

null

hello.py

pangtouyu/flasky4a

39926626e15820b5939d5e13fb08efd3c95daaf4

[ "MIT" ]

null

hello.py

pangtouyu/flasky4a

39926626e15820b5939d5e13fb08efd3c95daaf4

[ "MIT" ]

null

from flask import Flask, render_template from flask.ext.script import Manager from flask.ext.bootstrap import Bootstrap from flask.ext.moment import Moment from flask.ext.wtf import Form from wtforms import StringField, SubmitField from wtforms.validators import Required app = Flask(__name__) app.config['SECRET_KEY'] = 'hard to guess string' manager = Manager(app) bootstrap = Bootstrap(app) moment = Moment(app) class NameForm(Form): name = StringField('What is your name?', validators=[Required()]) submit = SubmitField('Submit') @app.errorhandler(404) def page_not_found(e): return render_template('404.html'), 404 @app.errorhandler(500) def internal_server_error(e): return render_template('500.html'), 500 @app.route('/', methods=['GET', 'POST']) def index(): name = None form = NameForm() if form.validate_on_submit(): name = form.name.data form.name.data = '' return render_template('index.html', form=form, name=name) if __name__ == '__main__': manager.run()

23.477273

69

0.71636

139

1,033

5.158273

0.410072

0.062762

0.066946

0.058577

0

0.020713

0.158761

1,033

43

70

24.023256

0.804373

0

0.092933

0

1

0.096774

false

0

0.225806

0.064516

0.516129

0

null

0

null

0

1

0

1

711cb4c4101a4cf75337a29ed311280d0f1883ce

14,198

py

Python

crawler.py

langzeyu/book-crawler

e2d96648384658c7775bd02d94eab086c9ece677

[ "MIT" ]

5

2019-04-02T05:00:03.000Z

2021-04-21T11:03:50.000Z

crawler.py

langzeyu/book-crawler

e2d96648384658c7775bd02d94eab086c9ece677

[ "MIT" ]

null

crawler.py

langzeyu/book-crawler

e2d96648384658c7775bd02d94eab086c9ece677

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding:utf-8 -*- import os import hashlib import urllib2 import urlparse import zipfile import logging import re import sys sys.path.append(os.path.join(os.path.dirname(__file__), 'lib')) from tornado import template from BeautifulSoup import BeautifulSoup from scrapy.selector import HtmlXPathSelector from rules import * import codecs import encodings encodings.aliases.aliases['gb2312'] = 'gb18030' encodings.aliases.aliases['gbk'] = 'gb18030' user_agent = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_6_7) AppleWebKit/534.24 (KHTML, like Gecko) Chrome/11.0.696.44 Safari/534.24" tpl_dir = os.path.join(os.path.dirname(__file__), 'tpl') data_dir = os.path.join(os.path.dirname(__file__), 'data') iswindows = 'win32' in sys.platform.lower() or 'win64' in sys.platform.lower() isosx = 'darwin' in sys.platform.lower() isfreebsd = 'freebsd' in sys.platform.lower() islinux = not(iswindows or isosx or isfreebsd) if iswindows: kindlegen = os.path.join(os.path.dirname(__file__), 'lib', 'kindlegen.exe') else: kindlegen = os.path.join(os.path.dirname(__file__), 'lib', 'kindlegen') def get_contents(url, referer=None): """docstring for get_contents""" try: req = urllib2.Request(url) req.add_header('User-Agent', user_agent) if referer is not None: req.add_header('Referer', referer) response = urllib2.urlopen(req) data = response.read() response.close() response = None del response return data except Exception, e: logging.error("get %s failed!" % url) return None class Book(object): """docstring for Book""" id = "" name = "" author = '' cover = None chapter_list = [] source = "" book_dir = "" chapters_dir = "" index = 1 def __init__(self, source=None, id=None): if id is None: self.id = hashlib.sha1(source).hexdigest() else: self.id = id self.source = source self.book_dir = os.path.join(data_dir, self.id) self.chapters_dir = os.path.join(self.book_dir, 'chapters') if os.path.isfile(os.path.join(self.book_dir, 'bookname')): fp = open(os.path.join(self.book_dir, 'bookname'), 'r') self.name = fp.read() fp.close() def init(self): """docstring for init""" if os.path.isdir(self.book_dir) is False: os.mkdir(self.book_dir) if os.path.isdir(self.chapters_dir) is False: os.mkdir(self.chapters_dir) def lock(self): """docstring for lock""" fp = open(os.path.join(self.book_dir, 'lock'), 'w') fp.write('lock') fp.close() def unlock(self): """docstring for unlock""" lock_file = os.path.join(self.book_dir, 'lock') if os.path.isfile(lock_file): os.unlink(lock_file) def set_name(self, name): self.name = name self.render("bookname", os.path.join(self.book_dir, "bookname"), name=self.name) @property def is_lock(self): """docstring for is_lock""" return os.path.isfile(os.path.join(self.book_dir, 'lock')) @property def is_exists(self): """docstring for exists""" return os.path.isdir(self.book_dir) @property def is_ready(self): """docstring for is_ready""" if os.path.isfile(os.path.join(self.book_dir, "book.mobi")) \ and os.path.isfile(os.path.join(self.book_dir, "book.epub")): return True else: return False @property def mobi(self): mobi = os.path.join(self.book_dir, "book.mobi") if os.path.isfile(mobi): return os.path.join(self.book_dir, "book.mobi") #"%s/book.mobi" % self.id else: return None @property def epub(self): """docstring for get_epub""" epub = os.path.join(self.book_dir, "book.epub") if os.path.isfile(epub): return os.path.join(self.book_dir, "book.epub") #"%s/book.epub" % self.id else: return None def add_chapter(self, title, content, source=None, index=None): """docstring for fname""" if index is None: index = self.index self.index += 1 file_name = "chapter_%04d.html" % index self.render("chapter.html", os.path.join(self.chapters_dir, file_name), title=title, content=content) self.chapter_list.append({ 'index': index, 'title': title, 'file': file_name }) def collect(self): pass def create(self): """docstring for create_index""" self.render("toc.html", os.path.join(self.book_dir, "toc.html"), title=self.name, chapters=self.chapter_list) self.render("toc.ncx", os.path.join(self.book_dir, "toc.ncx"), title=self.name, chapters=self.chapter_list) self.render("content.opf", os.path.join(self.book_dir, "content.opf"), title=self.name, author=self.author, chapters=self.chapter_list, cover=self.cover) self.render("cover.html", os.path.join(self.book_dir, "cover.html"), title=self.name, author=self.author, cover=self.cover) self.render("style.css", os.path.join(self.book_dir, "style.css")) def render(self, tpl_name, file_name, **kargs): """docstring for render""" content = self.render_string(tpl_name, id=self.id, **kargs) fp = open(file_name, 'w') fp.write(content) fp.close() def render_string(self, tpl_name, **kargs): """docstring for render_string""" return template.Loader(tpl_dir).load(tpl_name).generate(**kargs) def set_cover(self, data): """docstring for set_cover""" fp = open(os.path.join(self.book_dir, "cover.jpg"), 'w') fp.write(data) fp.close() self.cover = "cover.jpg" def toEpub(self): """docstring for toEpub""" epub_file = os.path.join(self.book_dir, "book.epub") zip = zipfile.ZipFile(epub_file, mode='w', compression=zipfile.ZIP_DEFLATED) zip.write(os.path.join(tpl_dir, 'mimetype'), 'mimetype', zipfile.ZIP_STORED) zip.write(os.path.join(tpl_dir, 'META-INF', 'container.xml'), 'META-INF/container.xml') zip.write(os.path.join(tpl_dir, 'style.css'), "style.css") zip.write(os.path.join(self.book_dir, 'content.opf'), "content.opf") zip.write(os.path.join(self.book_dir, 'cover.html'), "cover.html") zip.write(os.path.join(self.book_dir, 'toc.html'), "toc.html") zip.write(os.path.join(self.book_dir, 'toc.ncx'), "toc.ncx") for chapter in self.chapter_list: zip.write(os.path.join(self.chapters_dir, chapter['file']), "chapters/%s" % chapter['file']) zip.close() def toPdf(self): """docstring for toPdf""" pass def toText(self): """docstring for toText""" pass def toMobi(self): """docstring for toMobi""" if os.path.isfile(kindlegen): os.system('%s %s -o "%s"' % (kindlegen, os.path.join(self.book_dir, "content.opf"), "book.mobi")) class Crawler(object): """docstring for Crawler""" remove_tags = ['script','object','video','embed','iframe','noscript','img'] remove_attrs = ['title','width','height','onclick','onload'] def __init__(self, url): self.url = url def write_file(self, data, filename='t.html'): """docstring for write_file""" fp = open(filename, 'w') fp.write(data) fp.close() def collect(self): """docstring for run""" url_obj = urlparse.urlparse(self.url) if url_obj.hostname in Rules: rule = Rules[url_obj.hostname] else: logging.error("rule not found!") return if 'url_validate' in rule and not re.match(rule['url_validate'], self.url): logging.error("url invalid!") return logging.debug("start collect index...") html = get_contents(self.url) if html is None: logging.error("get %s failed!" % self.url) return book = Book(self.url) if book.is_lock: logging.info("book is queueing") return else: book.init() # book.lock() if 'encoding' in rule: encoding = rule['encoding'] else: encoding = 'utf-8' soup = BeautifulSoup(html, fromEncoding=encoding) html = soup.renderContents('utf-8') hxs = HtmlXPathSelector(text=html) # self.write_file(html) book_name = hxs.select(rule['book_name']).extract() if type(book_name) is list: book_name = book_name[0].strip() elif not book_name: book_name = soup.html.head.title.string book.set_name(book_name) if 'book_author' in rule: book_author = hxs.select(rule['book_author']).extract() if type(book_author) is list: book.author = book_author[0].strip() elif type(book_author) is str: book.author = book_author if 'book_cover' in rule: cover_url = hxs.select(rule['book_cover']).extract() if type(cover_url) is list: cover_url = cover_url[0] if cover_url: cover_data = get_contents(cover_url, self.url) book.set_cover(cover_data) if 'chapter_url' in rule: if 'book_id' in rule: book_id = rule['book_id'](self.url) chapter_url = rule['chapter_url'] % book_id else: chapter_url = hxs.select(rule['chapter_url']).extract() if type(chapter_url) is list: chapter_url = chapter_url[0] html = get_contents(chapter_url) soup = BeautifulSoup(html, fromEncoding=encoding) html = soup.renderContents('utf-8') hxs = HtmlXPathSelector(text=html) chapter_list = hxs.select(rule['chapter_list']).extract() else: chapter_list = hxs.select(rule['chapter_list']).extract() logging.debug("start collect %s" % book.name) logging.debug("start collect chapters...") for chapter in chapter_list: try: subsoup = BeautifulSoup(chapter) a = subsoup.find('a') if a['href'].partition("://")[0] in ('http', 'https'): chapter_url = a['href'] else: chapter_url = urlparse.urljoin(self.url, a['href']) chapter_content = get_contents(chapter_url, self.url) if chapter_content is None: continue subsoup = BeautifulSoup(chapter_content, fromEncoding=encoding) chapter_content = subsoup.renderContents('utf-8') hxs = HtmlXPathSelector(text=chapter_content) chapter_title = hxs.select(rule['chapter_title']).extract() if type(chapter_title) is list: chapter_title = chapter_title[0].strip() else: chapter_title = subsoup.html.head.title.string if 'chapter_content_url' in rule: chapter_content_url = hxs.select(rule['chapter_content_url']).extract() if type(chapter_content_url) is list and len(chapter_content_url) > 0: chapter_content_url = chapter_content_url[0].strip() # elif not chapter_content_url: else: continue chapter_content = get_contents(chapter_content_url, chapter_url) subsoup = BeautifulSoup(chapter_content, fromEncoding=encoding) chapter_content = subsoup.renderContents('utf-8') else: chapter_content = hxs.select(rule['chapter_content']).extract() if type(chapter_content) is list: chapter_content = ''.join(chapter_content).strip() if not chapter_content: continue if 'chapter_content_filter' in rule: chapter_content = rule['chapter_content_filter'](chapter_content) subsoup = BeautifulSoup(chapter_content) for tag in subsoup.findAll(self.remove_tags): tag.extract() for tag in list(subsoup.findAll(attrs={"style":"display:none"})): tag.extract() book.add_chapter(chapter_title, subsoup.renderContents('utf-8')) except Exception, e: logging.error(e) logging.debug("start building...") book.create() book.toEpub() book.toMobi() book.unlock() if __name__ == "__main__": logging.basicConfig(level=logging.DEBUG, format='%(asctime)s:%(msecs)03d %(levelname)-8s %(message)s', datefmt='%m-%d %H:%M') # Crawler("http://read.dangdang.com/book_15062").collect() # Crawler("http://read.360buy.com/5033/index.html").collect() Crawler("http://www.qidian.com/BookReader/1887208.aspx").collect()

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0.548951

1,655

14,198

4.565559

0.156495

0.041292

0.047644

0.050026

0.315246

0.252118

0.212017

0.189386

0.103229

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0.009067

0.324201

14,198

429

162

33.095571

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0.103348

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null

0.010563

0.049296

null

0

null

0

null

0

1

0

1

711cc2a2023d2b89e80fa1cd960c54c2be2e7173

340

py

Python

library/test/test_compiler/sbs_code_tests/95_annotation_global.py

creativemindplus/skybison

d1740e08d8de85a0a56b650675717da67de171a0

[ "CNRI-Python-GPL-Compatible" ]

278

2021-08-31T00:46:51.000Z

2022-02-13T19:43:28.000Z

library/test/test_compiler/sbs_code_tests/95_annotation_global.py

creativemindplus/skybison

d1740e08d8de85a0a56b650675717da67de171a0

[ "CNRI-Python-GPL-Compatible" ]

9

2021-11-05T22:28:43.000Z

2021-11-23T08:39:04.000Z

library/test/test_compiler/sbs_code_tests/95_annotation_global.py

tekknolagi/skybison

bea8fc2af0a70e7203b4c19f36c14a745512a335

[ "CNRI-Python-GPL-Compatible" ]

12

2021-08-31T07:49:54.000Z

2021-10-08T01:09:01.000Z

# Copyright (c) Facebook, Inc. and its affiliates. (http://www.facebook.com) def f(): (some_global): int print(some_global) # EXPECTED: [ ..., LOAD_CONST(Code((1, 0))), LOAD_CONST('f'), MAKE_FUNCTION(0), STORE_NAME('f'), LOAD_CONST(None), RETURN_VALUE(0), CODE_START('f'), ~LOAD_CONST('int'), ]

18.888889

76

0.588235

46

340

4.130435

0.652174

0.189474

0.105263

0

0.014981

0.214706

340

17

77

20

0.696629

0.247059

0

0.023715

0

1

0.071429

true

0

0.071429

0

null

0

null

0

1

0

1

7124602becc2e6ec9b01d8eb8d0b8a172881c1d3

835

py

Python

src/chapter2/exercise8.py

group9BCS1/BCS-2021

4210c2c9942f59ea250be71434d8d96c55950020

[ "MIT" ]

1

2021-05-20T17:15:10.000Z

src/chapter2/exercise8.py

group9BCS1/BCS-2021

4210c2c9942f59ea250be71434d8d96c55950020

[ "MIT" ]

null

src/chapter2/exercise8.py

group9BCS1/BCS-2021

4210c2c9942f59ea250be71434d8d96c55950020

[ "MIT" ]

2

2021-05-15T04:38:10.000Z

2021-05-20T17:06:21.000Z

#This program computes compound interest #Prompt the user to input the inital investment C = int(input('Enter the initial amount of an investment(C): ')) #Prompt the user to input the yearly rate of interest r = float(input('Enter the yearly rate of interest(r): ')) #Prompt the user to input the number of years until maturation t = int(input('Enter the number of years until maturation(t): ')) #Prompt the user to input the number of times the interest is compounded per year n = int(input('Enter the number of times the interest is compounded per year(n): ')) #This is the formula to compute the compound interest. It is printed to the nearest penny p = str(round(C * (((1 + (r/n)) ** (t*n))), 2)) #This outputs the compound interest to the nearest penny print('The final value of the investment to the nearest penny is: ', p)

43.947368

89

0.735329

144

835

4.263889

0.340278

0.058632

0.084691

0.09772

0.513029

0.322476

0.236156

0.153094

0

0.002899

0.173653

835

19

90

43.947368

0.886957

0.504192

0

0.627451

0

1

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false

0

0.166667

0

null

0

1

0

null

0

1

713167a830164ccca62c062da7d4668a476d9d1e

1,004

py

Python

misc/kwcheck.py

zzahti/skytools

71c0852dfa3fc9021b1821e50b2ba58dde7c27fe

[ "0BSD" ]

116

2015-01-06T17:56:12.000Z

2021-08-16T06:33:01.000Z

misc/kwcheck.py

zzahti/skytools

71c0852dfa3fc9021b1821e50b2ba58dde7c27fe

[ "0BSD" ]

17

2015-02-17T17:50:53.000Z

2020-01-15T08:05:46.000Z

misc/kwcheck.py

zzahti/skytools

71c0852dfa3fc9021b1821e50b2ba58dde7c27fe

[ "0BSD" ]

51

2015-02-18T16:12:13.000Z

2021-03-07T19:22:58.000Z

#! /usr/bin/env python import sys import re import pkgloader pkgloader.require('skytools', '3.0') import skytools.quoting kwmap = skytools.quoting._ident_kwmap fn = "/opt/src/pgsql/postgresql/src/include/parser/kwlist.h" if len(sys.argv) == 2: fn = sys.argv[1] rc = re.compile(r'PG_KEYWORD[(]"(.*)" , \s* \w+ , \s* (\w+) [)]', re.X) data = open(fn, 'r').read() full_map = {} cur_map = {} print "== new ==" for kw, cat in rc.findall(data): full_map[kw] = 1 if cat == 'UNRESERVED_KEYWORD': continue if cat == 'COL_NAME_KEYWORD': continue cur_map[kw] = 1 if kw not in kwmap: print kw, cat kwmap[kw] = 1 print "== obsolete ==" kws = kwmap.keys() kws.sort() for k in kws: if k not in full_map: print k, '(not in full_map)' elif k not in cur_map: print k, '(not in cur_map)' print "== full list ==" ln = "" for k in kws: ln += '"%s":1, ' % k if len(ln) > 70: print ln.strip() ln = "" print ln.strip()

19.686275

71

0.570717

160

1,004

3.49375

0.40625

0.044723

0.042934

0.028623

0.116279

0.060823

0

0.013316

0.251992

1,004

50

72

20.08

0.731025

0.020916

0

0.2

0

0.227319

0.054027

0

null

0

0.1

null

0.2

0

null

0

null

0

1

0

1

7134b11fbf615621dd4092408e906a7218019a12

5,223

py

Python

tests/main.py

tdegeus/enstat

c26f079dbbfd9fbe76cb8dc5a3da4290f1996645

[ "MIT" ]

null

tests/main.py

tdegeus/enstat

c26f079dbbfd9fbe76cb8dc5a3da4290f1996645

[ "MIT" ]

5

2021-02-02T10:38:59.000Z

2021-04-05T15:22:22.000Z

tests/main.py

tdegeus/EnsembleAverage

2e1eeb58ec6a031b0539d5c65f5db71a4bd904d0

[ "MIT" ]

1

2021-03-05T10:28:40.000Z

import unittest from collections import defaultdict import numpy as np import enstat.mean class Test_mean(unittest.TestCase): """ tests """ def test_scalar(self): """ Basic test of "mean" and "std" using a random sample. """ average = enstat.scalar() average.add_sample(np.array(1.0)) self.assertFalse(np.isnan(average.mean())) self.assertTrue(np.isnan(average.std())) average.add_sample(np.array(1.0)) self.assertFalse(np.isnan(average.mean())) self.assertFalse(np.isnan(average.std())) def test_scalar_division(self): """ Check for zero division. """ average = enstat.scalar() a = np.random.random(50 * 20).reshape(50, 20) for i in range(a.shape[0]): average.add_sample(a[i, :]) self.assertTrue(np.isclose(average.mean(), np.mean(a))) self.assertTrue(np.isclose(average.std(), np.std(a), rtol=1e-3)) def test_static(self): """ Basic test of "mean" and "std" using a random sample. """ average = enstat.static() a = np.random.random(35 * 50 * 20).reshape(35, 50, 20) for i in range(a.shape[0]): average.add_sample(a[i, :, :]) self.assertTrue(np.allclose(average.mean(), np.mean(a, axis=0))) self.assertTrue(np.allclose(average.std(), np.std(a, axis=0), rtol=5e-1, atol=1e-3)) self.assertTrue(average.shape() == a.shape[1:]) self.assertTrue(average.size() == np.prod(a.shape[1:])) def test_static_ravel(self): """ Like :py:func:`test_static` but with a test of `ravel`. """ arraylike = enstat.static() scalar = enstat.scalar() a = np.random.random(35 * 50 * 20).reshape(35, 50, 20) for i in range(a.shape[0]): arraylike.add_sample(a[i, :, :]) scalar.add_sample(a[i, :, :]) flat = arraylike.ravel() self.assertTrue(np.allclose(flat.mean(), np.mean(a))) self.assertTrue(np.allclose(flat.std(), np.std(a), rtol=5e-1, atol=1e-3)) self.assertTrue(np.allclose(flat.mean(), scalar.mean())) self.assertTrue(np.allclose(flat.std(), scalar.std(), rtol=5e-1, atol=1e-3)) def test_static_division(self): """ Check for zero division. """ average = enstat.static() average.add_sample(np.array([1.0])) self.assertFalse(np.isnan(average.mean())) self.assertTrue(np.isnan(average.std())) average.add_sample(np.array([1.0])) self.assertFalse(np.isnan(average.mean())) self.assertFalse(np.isnan(average.std())) def test_static_mask(self): average = enstat.static() a = np.random.random(35 * 50 * 20).reshape(35, 50, 20) m = np.random.random(35 * 50 * 20).reshape(35, 50, 20) > 0.8 for i in range(a.shape[0]): average.add_sample(a[i, :, :], m[i, :, :]) self.assertTrue( np.isclose( np.sum(average.first()) / np.sum(average.norm()), np.mean(a[np.logical_not(m)]), ) ) self.assertTrue( np.isclose( np.sum(average.first()) / np.sum(average.norm()), np.mean(a[np.logical_not(m)]), ) ) self.assertTrue(np.all(np.equal(average.norm(), np.sum(np.logical_not(m), axis=0)))) def test_dynamic1d(self): average = enstat.dynamic1d() average.add_sample(np.array([1, 2, 3])) average.add_sample(np.array([1, 2, 3])) average.add_sample(np.array([1, 2])) average.add_sample(np.array([1])) self.assertTrue(np.allclose(average.mean(), np.array([1, 2, 3]))) self.assertTrue(np.allclose(average.std(), np.array([0, 0, 0]))) self.assertEqual(average.shape(), (3,)) self.assertEqual(average.size(), 3) class Test_defaultdict(unittest.TestCase): """ functionality """ def test_scalar(self): average = defaultdict(enstat.scalar) a = np.random.random(50 * 20).reshape(50, 20) b = np.random.random(52 * 21).reshape(52, 21) for i in range(a.shape[0]): average["a"].add_sample(a[i, :]) for i in range(b.shape[0]): average["b"].add_sample(b[i, :]) self.assertTrue(np.isclose(average["a"].mean(), np.mean(a))) self.assertTrue(np.isclose(average["b"].mean(), np.mean(b))) def test_static(self): average = defaultdict(enstat.static) a = np.random.random(35 * 50 * 20).reshape(35, 50, 20) b = np.random.random(37 * 52 * 21).reshape(37, 52, 21) for i in range(a.shape[0]): average["a"].add_sample(a[i, :, :]) for i in range(b.shape[0]): average["b"].add_sample(b[i, :, :]) self.assertTrue(np.allclose(average["a"].mean(), np.mean(a, axis=0))) self.assertTrue(np.allclose(average["b"].mean(), np.mean(b, axis=0))) self.assertTrue(average["a"].shape() == a.shape[1:]) self.assertTrue(average["b"].shape() == b.shape[1:]) if __name__ == "__main__": unittest.main()

28.232432

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0.083449

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0.584492

0.535814

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0

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0.262684

5,223

184

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0.70631

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0

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1

0.087379

false

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0.145631

0

null

0

1

0

null

0

1

71351ec8e090e943f24c2a7631465b81d875953c

1,570

py

Python

build/lib/longform/models.py

mattlinares/longform

3539948a10a0c1e52debaf796b6f9f6e050f94d3

[ "MIT" ]

null

build/lib/longform/models.py

mattlinares/longform

3539948a10a0c1e52debaf796b6f9f6e050f94d3

[ "MIT" ]

null

build/lib/longform/models.py

mattlinares/longform

3539948a10a0c1e52debaf796b6f9f6e050f94d3

[ "MIT" ]

null

from django.db import models from django.conf import settings from modelcluster.fields import ParentalKey from wagtail.core.models import Page, Orderable from wagtail.core.fields import StreamField from wagtail.wagtailadmin.edit_handlers import ( FieldPanel, StreamFieldPanel, InlinePanel, PageChooserPanel ) from wagtail.wagtailimages.edit_handlers import ImageChooserPanel from wagtail.wagtailsearch import index from .blocks import LongformBlock class LongformPage(Page): body = StreamField(LongformBlock()) introduction = models.CharField(max_length=255) background_image = models.ForeignKey( settings.WAGTAILIMAGES_IMAGE_MODEL, null=True, blank=True, on_delete=models.SET_NULL, related_name='+', ) search_fields = Page.search_fields + [ index.SearchField('body'), ] content_panels = Page.content_panels + [ FieldPanel('introduction'), ImageChooserPanel('background_image'), StreamFieldPanel('body'), ] subpage_types = [] def get_template(self, request, *args, **kwargs): if request.is_ajax(): return self.ajax_template or self.template else: return 'longform/longform_page.html' def get_context(self, request): context = super().get_context(request) if request.GET.get('accessible'): context.update(render_accessible=True) return context class Meta: verbose_name = "Longform Page" verbose_name_plural = "Longform Pages" abstract = True

27.54386

65

0.695541

166

1,570

6.427711

0.475904

0.051546

0.028116

0

0.002449

0.219745

1,570

56

66

28.035714

0.868571

0

0.064331

0.017197

0

1

0.046512

false

0

0.209302

0

0.511628

0

null

0

null

0

1

0

1

713f8728f170e98a510f966331e3baefa1955731

1,930

py

Python

plugin.program.super.favourites/viewer.py

TheWardoctor/wardoctors-repo

893f646d9e27251ffc00ca5f918e4eb859a5c8f0

[ "Apache-2.0" ]

1

2019-03-05T09:37:15.000Z

plugin.program.super.favourites/viewer.py

TheWardoctor/wardoctors-repo

893f646d9e27251ffc00ca5f918e4eb859a5c8f0

[ "Apache-2.0" ]

null

plugin.program.super.favourites/viewer.py

TheWardoctor/wardoctors-repo

893f646d9e27251ffc00ca5f918e4eb859a5c8f0

[ "Apache-2.0" ]

1

2021-11-05T20:48:09.000Z

# # Copyright (C) 2014-2015 # Sean Poyser (seanpoyser@gmail.com) # # This Program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2, or (at your option) # any later version. # # This Program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with XBMC; see the file COPYING. If not, write to # the Free Software Foundation, 675 Mass Ave, Cambridge, MA 02139, USA. # http://www.gnu.org/copyleft/gpl.html # import xbmcgui import xbmcaddon class Viewer(xbmcgui.WindowXMLDialog): ACTION_EXIT = (9, 10, 247, 275, 61467, 216, 257, 61448) def __init__(self, *args, **kwargs): pass def onInit(self): self.getControl(1000).setImage(self.fanart) self.getControl(1100).setImage(self.thumb) self.setFocus(self.getControl(2000)) def onClick(self, controlId): self.close() pass def onFocus(self, controlId): pass def onAction(self, action): actionId = action.getId() buttonId = action.getButtonCode() if buttonId in self.ACTION_EXIT or actionId in self.ACTION_EXIT: self.close() if actionId != 107: self.close() def show(fanart, thumb, addon=None): try: if addon: path = xbmcaddon.Addon(addon).getAddonInfo('path') else: path = xbmcaddon.Addon().getAddonInfo('path') v = Viewer('viewer.xml', path, 'Default') v.fanart = fanart v.thumb = thumb v.doModal() del v except: pass

25.064935

72

0.640933

251

1,930

4.900398

0.565737

0.029268

0.031707

0.046341

0.066667

0.045528

0

0.040283

0.266839

1,930

77

73

25.064935

0.828975

0.395855

0

0.2

0

0.021911

0

1

0.171429

false

0.114286

0.057143

0

0.285714

0

null

0

null

0

1

0

1

852f1cbba9e7736017df5f793b0b98d952024c1d

677

py

Python

src/namegen.py

Advik-B/Data-Generator

d7e21b3140b51ad5a8fc980777b10905bb6a9f2a

[ "MIT" ]

1

2022-01-08T15:35:11.000Z

src/namegen.py

Advik-B/Data-Generator

d7e21b3140b51ad5a8fc980777b10905bb6a9f2a

[ "MIT" ]

null

src/namegen.py

Advik-B/Data-Generator

d7e21b3140b51ad5a8fc980777b10905bb6a9f2a

[ "MIT" ]

null

import random class Human_: """Base class for humans""" def setrandomgender(self, allow_other=False, **kwargs): if type(kwargs.get('custom_gender')) != dict: self.base_genders = [{'Male': ['He', 'Him']}, {'Female': ['She', 'Her']}] elif type(kwargs.get('custom_gender')) == dict: tmp = kwargs.get('custom_gender') if len(list(tmp)) == 1: self.gender = list(tmp)[0] else: self.gender = random.choice(list(tmp)) self.refer_to_me_as = tmp[self.gender] class Human(Human_): def __init__(self): self.age = random.randint(1, 101) self.gender

35.631579

85

0.55096

82

677

4.378049

0.52439

0.111421

0.125348

0.175487

0.16156

0

0.012448

0.288035

677

19

86

35.631579

0.732365

0.031019

0

0.092166

0

1

0.125

false

0

0.0625

0

0.3125

0

null

0

1

0

null

0

1

8532bab920d1825b8422ff7fb44acb95b58ad085

622

gyp

Python

binding.gyp

dimshik100/Epoc.js

240950392974d398776f76f08a91cfd71b095487

[ "MIT" ]

799

2016-07-31T19:54:59.000Z

2022-03-21T05:55:15.000Z

binding.gyp

dimshik100/Epoc.js

240950392974d398776f76f08a91cfd71b095487

[ "MIT" ]

8

2016-11-03T09:09:28.000Z

2019-09-01T17:07:27.000Z

binding.gyp

dimshik100/Epoc.js

240950392974d398776f76f08a91cfd71b095487

[ "MIT" ]

54

2017-05-23T19:36:33.000Z

2021-12-29T15:11:12.000Z

{ "targets": [ { "target_name": "index", "sources": [ "epoc.cc"], "include_dirs" : [ "<!(node -e \"require('nan')\")" ], "conditions": [ ['OS=="mac"', { "cflags": [ "-m64" ], "ldflags": [ "-m64" ], "xcode_settings": { "OTHER_CFLAGS": ["-ObjC++"], "ARCHS": [ "x86_64" ] }, "link_settings": { "libraries": [ "/Library/Frameworks/edk.framework/edk" ], "include_dirs": ["./lib/includes/", "./lib/"] } }] ] } ] }

22.214286

59

0.350482

41

622

5.146341

0.829268

0.104265

0

0.022472

0.427653

622

27

60

23.037037

0.570225

0

0.074074

0

0.38746

0.059486

0

1

0

true

0

null

0

null

0

1

0

1

8532c99e8a8433241294b42f1d47108571d2bbf0

983

py

Python

tokens.py

manuel-io/minicloud

bdf6a08709f5c9d0d92caddc1c719c438b6970ce

[ "MIT" ]

1

2021-01-15T02:10:32.000Z

tokens.py

manuel-io/minicloud

bdf6a08709f5c9d0d92caddc1c719c438b6970ce

[ "MIT" ]

3

2020-06-13T00:02:13.000Z

2021-09-12T13:20:16.000Z

tokens.py

manuel-io/minicloud

bdf6a08709f5c9d0d92caddc1c719c438b6970ce

[ "MIT" ]

null

import sys, psycopg2, psycopg2.extras def generate(user_id, db): try: with db.cursor(cursor_factory = psycopg2.extras.DictCursor) as cursor: cursor.execute(""" INSERT INTO minicloud_auths (user_id) VALUES (%s) RETURNING token """, [int(user_id)]) data = cursor.fetchone() db.commit() return data['token'] except Exception as e: db.rollback() sys.stderr('%s\n' % 'No token generated!') return None def revoke(user_id, db): try: with db.cursor(cursor_factory = psycopg2.extras.DictCursor) as cursor: cursor.execute(""" DELETE FROM minicloud_auths WHERE user_id = %s """, [user_id]) db.commit() sys.stderr.write('X-Auth-Token revoked\n') return True except Exception as e: db.rollback() sys.stderr.write('Revoke X-Auth-Token failed: %s\n' % str(e)) return False

27.305556

78

0.571719

119

983

4.638655

0.420168

0.065217

0.043478

0.039855

0.427536

0.293478

0

0.0059

0.310275

983

35

79

28.085714

0.80826

0

0.444444

1

0

0.249237

0

1

0.074074

false

0

0.037037

0

0.259259

0

null

0

1

0

null

0

1

85340618b43f73553925b20a11d7ffb839d7dd94

903

py

Python

gorden_crawler/spiders/item_lacoste.py

Enmming/gorden_cralwer

3c279e4f80eaf90f3f03acd31b75cf991952adee

[ "Apache-2.0" ]

2

2019-02-22T13:51:08.000Z

2020-08-03T14:01:30.000Z

gorden_crawler/spiders/item_lacoste.py

Enmming/gorden_cralwer

3c279e4f80eaf90f3f03acd31b75cf991952adee

[ "Apache-2.0" ]

null

gorden_crawler/spiders/item_lacoste.py

Enmming/gorden_cralwer

3c279e4f80eaf90f3f03acd31b75cf991952adee

[ "Apache-2.0" ]

1

2020-08-03T14:01:32.000Z

# -*- coding: utf-8 -*- from scrapy.spiders import Spider from scrapy.selector import Selector from gorden_crawler.items import BaseItem, ImageItem, SkuItem, Color from scrapy import Request from scrapy_redis.spiders import RedisSpider import re import execjs import json from gorden_crawler.spiders.shiji_base import ItemSpider from gorden_crawler.spiders.lacoste import LacosteSpider,LacosteBaseSpider class ItemLacosteSpider(ItemSpider, LacosteBaseSpider): name = "item_lacoste" allowed_domains = ["lacoste.com"] #正式运行的时候，start_urls为空，通过redis来喂养爬虫 start_urls = [] base_url = 'http://www.lacoste.com' '''具体的解析规则''' def parse(self, response): itemB = {} itemB['type'] = 'base' itemB['from_site'] = 'lacoste' itemB['url'] = response.url # ls = LacosteSpider() return self.handle_parse_item(response,itemB)

25.8

74

0.705426

103

903

6.058252

0.524272

0.064103

0.081731

0.076923

0

0.001377

0.196013

903

34

75

26.558824

0.858127

0.083056

0

0.088779

0

1

0.047619

false

0

0.47619

0

0.809524

0

null

0

null

0

1

0

1

8536fa3da81b7b0e167c676d3c1b9ae1a7592c0b

662

py

Python

Server/app/schema/mutations/user/register.py

Team-SeeTo/SeeTo-Backend

19990cd6f4895e773eaa504f7b7a07ddbb5856e5

[ "Apache-2.0" ]

4

2018-06-18T06:50:12.000Z

2018-11-15T00:08:24.000Z

Server/app/schema/mutations/user/register.py

Team-SeeTo/SeeTo-Backend

19990cd6f4895e773eaa504f7b7a07ddbb5856e5

[ "Apache-2.0" ]

null

Server/app/schema/mutations/user/register.py

Team-SeeTo/SeeTo-Backend

19990cd6f4895e773eaa504f7b7a07ddbb5856e5

[ "Apache-2.0" ]

null

import graphene from app.models import User class RegisterMutation(graphene.Mutation): class Arguments(object): email = graphene.String() username = graphene.String() password = graphene.String() is_success = graphene.Boolean() message = graphene.String() @staticmethod def mutate(root, info, **kwargs): try: new_user = User(**kwargs) new_user.save() except Exception as e: print(str(e)) return RegisterMutation(is_success=False, message="Registration Failure") return RegisterMutation(is_success=True, message="Successfully registered")

24.518519

85

0.643505

67

662

6.283582

0.61194

0.133017

0.114014

0.147268

0

0.259819

662

27

86

24.518519

0.859184

0

0.064955

0

1

0.055556

false

0.055556

0.111111

0

0.5

0.055556

0

null

0

null

0

1

0

1

853a017f65875a9f0f760904e9bc237db20aee8e

1,498

py

Python

usaspending_api/references/migrations/0055_auto_20170319_1841.py

toolness/usaspending-api

ed9a396e20a52749f01f43494763903cc371f9c2

[ "CC0-1.0" ]

1

2021-06-17T05:09:00.000Z

usaspending_api/references/migrations/0055_auto_20170319_1841.py

toolness/usaspending-api

ed9a396e20a52749f01f43494763903cc371f9c2

[ "CC0-1.0" ]

null

usaspending_api/references/migrations/0055_auto_20170319_1841.py

toolness/usaspending-api

ed9a396e20a52749f01f43494763903cc371f9c2

[ "CC0-1.0" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.10.1 on 2017-03-19 18:41 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('references', '0054_auto_20170308_2100'), ] operations = [ migrations.CreateModel( name='ObjectClass', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('major_object_class', models.CharField(db_index=True, max_length=2)), ('major_object_class_name', models.CharField(max_length=100)), ('object_class', models.CharField(db_index=True, max_length=3)), ('object_class_name', models.CharField(max_length=60)), ('direct_reimbursable', models.CharField(blank=True, db_index=True, max_length=1, null=True)), ('direct_reimbursable_name', models.CharField(blank=True, max_length=50, null=True)), ('create_date', models.DateTimeField(auto_now_add=True, null=True)), ('update_date', models.DateTimeField(auto_now=True, null=True)), ], options={ 'db_table': 'object_class', 'managed': True, }, ), migrations.AlterUniqueTogether( name='objectclass', unique_together=set([('object_class', 'direct_reimbursable')]), ), ]

39.421053

114

0.600134

157

1,498

5.464968

0.458599

0.076923

0.060606

0.048951

0.291375

0.198135

0.107226

0

0.039198

0.26769

1,498

37

115

40.486486

0.742935

0.045394

0

0.066667

1

0

0.176594

0.049054

0

1

0

false

0

0.066667

0

0.166667

0

null

0

1

0

null

0

1

853c2817f044574374a2b109c19369e6b2a57e22

557

py

Python

bioinformatics_stronghold/subs.py

Wytamma/Rosalind

d3ffecc324f806df79c43bc9f89128b5d2a57dfb

[ "MIT" ]

null

bioinformatics_stronghold/subs.py

Wytamma/Rosalind

d3ffecc324f806df79c43bc9f89128b5d2a57dfb

[ "MIT" ]

null

bioinformatics_stronghold/subs.py

Wytamma/Rosalind

d3ffecc324f806df79c43bc9f89128b5d2a57dfb

[ "MIT" ]

null

SAMPLE_DATASET = """GATATATGCATATACTT ATAT """ SAMPLE_OUTPUT = """2 4 10""" def kmer_generator(string, n): """returns a generator for kmers of length n""" return (string[i : i + n] for i in range(0, len(string))) def solution(dataset: list) -> str: s, t = map(lambda x: x.strip(), dataset) # clean locs = [ str(i) for i, kmer in enumerate(kmer_generator(s, len(t)), 1) if kmer == t ] # process return " ".join(locs) # report def test_solution(): assert solution(SAMPLE_DATASET.splitlines(True)) == SAMPLE_OUTPUT

25.318182

82

0.633752

81

557

4.271605

0.567901

0.075145

0

0.01373

0.21544

557

21

83

26.52381

0.778032

0.113106

0

0.061728

0

0.071429

1

0.214286

false

0

0.357143

0

null

0

null

0

1

0

1

8547dd8fc01f4fe84f90c45c7ee6972d940d2598

656

py

Python

py/testdir_single_jvm/test_failswith512chunk.py

gigliovale/h2o

be350f3f2c2fb6f135cc07c41f83fd0e4f521ac1

[ "Apache-2.0" ]

882

2015-05-22T02:59:21.000Z

2022-02-17T05:02:48.000Z

py/testdir_single_jvm/test_failswith512chunk.py

VonRosenchild/h2o-2

be350f3f2c2fb6f135cc07c41f83fd0e4f521ac1

[ "Apache-2.0" ]

1

2015-01-14T23:54:56.000Z

2015-01-15T20:04:17.000Z

py/testdir_single_jvm/test_failswith512chunk.py

VonRosenchild/h2o-2

be350f3f2c2fb6f135cc07c41f83fd0e4f521ac1

[ "Apache-2.0" ]

392

2015-05-22T17:04:11.000Z

2022-02-22T09:04:39.000Z

import unittest, time, sys # not needed, but in case you move it down to subdir sys.path.extend(['.','..','../..','py']) import h2o, h2o_cmd, h2o_import as h2i import h2o_browse as h2b class Basic(unittest.TestCase): def tearDown(self): h2o.check_sandbox_for_errors() @classmethod def setUpClass(cls): h2o.init() @classmethod def tearDownClass(cls): h2o.tear_down_cloud() def test_fail1_100x1100(self): parseResult = h2i.import_parse(bucket='smalldata', path='fail1_100x11000.csv.gz', schema='put', timeoutSecs=60, retryDelaySecs=0.15) if __name__ == '__main__': h2o.unit_main()

26.24

103

0.666159

87

656

4.781609

0.712644

0.043269

0

0.062857

0.199695

656

24

104

27.333333

0.729524

0.07622

0

0.111111

0

0.086093

0.036424

0

1

0.222222

false

0

0.222222

0

0.5

0

null

0

null

0

1

0

1

855f7cb89772ea3d4d64fcd054158faff330adb1

438

py

Python

dash_oyku/models.py

efebuyuk/jd_intern_project

a8db7ddc8f434d6148b743f6c8c6b071f29e1a41

[ "MIT" ]

1

2021-06-28T07:20:03.000Z

dash_oyku/models.py

efebuyuk/jd_intern_project

a8db7ddc8f434d6148b743f6c8c6b071f29e1a41

[ "MIT" ]

null

dash_oyku/models.py

efebuyuk/jd_intern_project

a8db7ddc8f434d6148b743f6c8c6b071f29e1a41

[ "MIT" ]

null

from django.db import models from django.db.models import IntegerField, Model, JSONField class notebook(models.Model): name = models.CharField(max_length=500) cell_count = models.IntegerField(default=0) code_cell_count = models.IntegerField(default=0) language = models.CharField(max_length=6) dataset = JSONField() function = JSONField() library = JSONField()

31.285714

59

0.6621

48

438

5.9375

0.520833

0.070175

0.084211

0.168421

0.245614

0

0.018293

0.251142

438

13

60

33.692308

0.85061

0

1

0

false

0

0.2

0

1

0

null

0

1

0

null

0

1

85731618bb69d50a2638e91ab9c3f9baea8598f6

950

py

Python

demo/classification/fast_neural_network/mnist.py

DanielMorales9/LinearRegression

7c905e5317a2eb4cc3b2cab275bbcec8e9db57f9

[ "MIT" ]

null

demo/classification/fast_neural_network/mnist.py

DanielMorales9/LinearRegression

7c905e5317a2eb4cc3b2cab275bbcec8e9db57f9

[ "MIT" ]

null

demo/classification/fast_neural_network/mnist.py

DanielMorales9/LinearRegression

7c905e5317a2eb4cc3b2cab275bbcec8e9db57f9

[ "MIT" ]

null

from classification import FastNeuralNetwork import os import scipy.io as scio from random import random from numpy import mean, zeros, reshape, ceil from numpy.random import shuffle, rand from chart import NNChart nnc = NNChart() path = os.path.dirname(os.path.abspath(__file__)) data = scio.loadmat(path+"/data/data1.mat") x = data['X'] y = data['y'] y -= 1 y %= 10 num = rand(64) * len(x) training = x[num.astype(int)] nnc.display(training) split = int(round(random() * len(x))) X = zeros((x.shape[0], x.shape[1]+1)) X[:, :x.shape[1]] = x X[:, -1] = y.T shuffle(X) x = X[:, :x.shape[1]] y = x[:, -1] y = y.astype(int) hidden_units = 25 fnn = FastNeuralNetwork() fnn.fit(x[:split, :], y[:split], hidden_units) predictions = fnn.predict(x[split:, :]) theta = fnn.model print "Accuracy: {}%".format(mean(predictions == y[split:]) * 100) th1 = reshape(theta[:fnn.hl * (fnn.il + 1)], (fnn.hl, (fnn.il + 1)), order='F') nnc.display(th1[:9, 1:])

22.619048

79

0.652632

159

950

3.861635

0.396226

0.019544

0.034202

0.026059

0.035831

0

0.029448

0.142105

950

41

80

23.170732

0.723926

0

0.032632

0

null

0

0.212121

null

0.030303

0

null

0

null

0

1

0

1

85783967cfc0d695bb89fab6270b7c499143c02d

643

py

Python

python base/mail.py

umaremdy/reishy

060b26812cac88c0333c914fab409c3ca6647278

[ "CC-BY-3.0" ]

null

python base/mail.py

umaremdy/reishy

060b26812cac88c0333c914fab409c3ca6647278

[ "CC-BY-3.0" ]

null

python base/mail.py

umaremdy/reishy

060b26812cac88c0333c914fab409c3ca6647278

[ "CC-BY-3.0" ]

null

from flask_mail import Mail, Message from flask import Flask app =Flask(__name__) app.config['MAIL_SERVER']='smtp.gmail.com' app.config['MAIL_PORT'] = 465 app.config['MAIL_USERNAME'] = 'antoprince001@gmail.com' app.config['MAIL_PASSWORD'] = 'gboyilovemylife100%' app.config['MAIL_USE_TLS'] = False app.config['MAIL_USE_SSL'] = True mail = Mail(app) @app.route("/") def index(): msg = Message('Hello', sender = 'antoprince001@gmail.com', recipients = ['hemuhema2000@gmail.com','hinduabisundaram@gmail.com']) msg.body = "PATREC Contract created" mail.send(msg) return "Sent" if __name__ == '__main__': app.run(debug = True)

25.72

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0.713841

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643

5.034483

0.494253

0.123288

0.178082

0.077626

0.09589

0

0.028319

0.121306

643

25

132

25.72

0.746903

0

0.369565

0.145963

0

1

0.055556

false

0.055556

0.111111

0

0.222222

0

null

0

null

0

1

0

1

858477fb81ec87aea406b9c3e37a4cb272d6dd6a

441

py

Python

scripts/hw-diags.py

2Shirt/WizardK

82a2e7f85c80a52f892c1553e7a45ec0174e7bc6

[ "MIT" ]

null

scripts/hw-diags.py

2Shirt/WizardK

82a2e7f85c80a52f892c1553e7a45ec0174e7bc6

[ "MIT" ]

178

2017-11-17T19:14:31.000Z

2021-12-15T07:43:29.000Z

scripts/hw-diags.py

2Shirt/WizardK

82a2e7f85c80a52f892c1553e7a45ec0174e7bc6

[ "MIT" ]

1

2017-11-17T19:32:36.000Z

#!/usr/bin/env python3 """WizardKit: Hardware Diagnostics""" # pylint: disable=invalid-name # vim: sts=2 sw=2 ts=2 from docopt import docopt import wk if __name__ == '__main__': try: docopt(wk.hw.diags.DOCSTRING) except SystemExit: print('') wk.std.pause('Press Enter to exit...') raise try: wk.hw.diags.main() except SystemExit: raise except: #pylint: disable=bare-except wk.std.major_exception()

17.64

42

0.666667

61

441

4.672131

0.639344

0.091228

0.063158

0

0.011236

0.192744

441

24

43

18.375

0.789326

0.294785

0

0.4

0

0.099338

0

1

0

true

0

0.133333

0

0.133333

0.066667

0

null

0

null

0

1

0

1

8584ae1c5aab7faa348a572830afee0432e91071

1,055

py

Python

slot/w/wand.py

mattkw/dl

45bfc28ad9ff827045a3734730deb893a2436c09

[ "Apache-2.0" ]

null

slot/w/wand.py

mattkw/dl

45bfc28ad9ff827045a3734730deb893a2436c09

[ "Apache-2.0" ]

null

slot/w/wand.py

mattkw/dl

45bfc28ad9ff827045a3734730deb893a2436c09

[ "Apache-2.0" ]

null

import slot from slot import * class wand5b2p2(WeaponBase): ele = ['all'] wt = 'wand' att = 470 s3 = { "dmg" : 4*2.44 , "sp" : 8757 , "startup" : 0.1 , "recovery" : 1.9 , } class wand4b1(WeaponBase): ele = ['flame','wind','shadow'] wt = 'wand' att = 372 s3 = { "dmg" : 9.84 , "sp" : 8453 , "startup" : 0.1 , "recovery" : 1.9 , } class wand5b10(WeaponBase): ele = ['flame','wind','shadow'] wt = 'wand' att = 454 s3 = { } class wand5b1(WeaponBase): ele = ['flame','wind','shadow'] wt = 'wand' att = 528 s3 = { } class wand5b2(WeaponBase): ele = ['water','light'] wt = 'wand' att = 573 s3 = { "dmg" : 4*2.71 , "sp" : 8757 , "startup" : 0.1 , "recovery" : 1.9 , } flame = wand5b1 wind = wand5b1 shadow = wand5b1 water = wand5b2 light = wand5b2

18.189655

35

0.412322

107

1,055

4.065421

0.373832

0.149425

0.103448

0.117241

0.436782

0.370115

0

0.129195

0.435071

1,055

57

36

18.508772

0.600671

0

0.428571

0

0.13093

0

1

0

false

0

0.040816

0

0.55102

0

null

0

null

0

1

0

1

8588525112b3883bbd9b701dec095f2efcbfd29f

519

py

Python

tests/server_generator/test_bottle_server_generator.py

mikaeilorfanian/client_server_generator

784245563d3633396e01ba918197a1fe41a2205b

[ "MIT" ]

null

tests/server_generator/test_bottle_server_generator.py

mikaeilorfanian/client_server_generator

784245563d3633396e01ba918197a1fe41a2205b

[ "MIT" ]

5

2017-08-24T13:39:01.000Z

2017-08-25T07:16:58.000Z

tests/server_generator/test_bottle_server_generator.py

mikaeilorfanian/client_server_generator

784245563d3633396e01ba918197a1fe41a2205b

[ "MIT" ]

null

import requests from server_generator.server_generator import MagicRouter from tests.utils import start_test_bottle_app class HelloNameURLHandler(MagicRouter): route_name = 'hello_name' def handler(self): return 'hello {}'.format(self.name) def test_setup(): route = HelloNameURLHandler() start_test_bottle_app(route) # url = URL('hello_name') # url.get() r = requests.get('http://localhost:8080/hello/world') assert r.status_code == 200 assert 'hello world' in r.text

23.590909

57

0.712909

67

519

5.328358

0.537313

0.084034

0.10084

0

0.016471

0.181118

519

21

58

24.714286

0.823529

0.063584

0

0.128364

0

0.153846

1

0.153846

false

0

0.230769

0.076923

0.615385

0

null

0

null

0

1

0

1

85909d74fe38a6ffcecf31ffda0296f5cfcf1a2e

208

py

Python

uniqueOccurrences.py

hazardinho/LeetcodeSolutions

3f7fee882c1cdc83ecf7c9fd05d2a7f1afb130e6

[ "MIT" ]

1

2020-05-21T09:29:48.000Z

uniqueOccurrences.py

Ich1goSan/LeetcodeSolutions

3f7fee882c1cdc83ecf7c9fd05d2a7f1afb130e6

[ "MIT" ]

null

uniqueOccurrences.py

Ich1goSan/LeetcodeSolutions

3f7fee882c1cdc83ecf7c9fd05d2a7f1afb130e6

[ "MIT" ]

null

def uniqueOccurrences(self, arr: List[int]) -> bool: m = {} for i in arr: if i in m: m[i] += 1 else: m[i] = 1 return len(m.values()) == len(set(m.values()))

26

52

0.447115

31

208

3

0.580645

0.064516

0

0.015504

0.379808

208

8

53

26

0.705426

0

1

0.125

false

0

0.25

0

null

0

1

0

null

0

1

859208b5a93d0e79afb42da91a5ef97b75f19467

1,559

py

Python

bonfire_led_pwm_tb.py

bonfireprocessor/bonfire-pwm

2e28cb5c19454343122fc26589da86f17613f204

[ "MIT" ]

null

bonfire_led_pwm_tb.py

bonfireprocessor/bonfire-pwm

2e28cb5c19454343122fc26589da86f17613f204

[ "MIT" ]

null

bonfire_led_pwm_tb.py

bonfireprocessor/bonfire-pwm

2e28cb5c19454343122fc26589da86f17613f204

[ "MIT" ]

null

from myhdl import * from bonfire_led_pwm import bonfire_led_pwm #from bonfire_led_pwm4 import bonfire_led_pwm4 from wishbone_bundle import * from ClkDriver import * numChannels=4 values=(2,0x00205070,0x00ffffff,0x00000000,0x00deadbe) @block def led_pwm_tb(): wb_bus = Wishbone_bundle(True,8,0,32,False,False) red_v=Signal(intbv(0)[numChannels:]) green_v=Signal(intbv(0)[numChannels:]) blue_v=Signal(intbv(0)[numChannels:]) clock = Signal(bool(0)) reset = ResetSignal(0, active=1, isasync=False) clk_driver= ClkDriver(clock) dut=bonfire_led_pwm(wb_bus,red_v,green_v,blue_v,clock,reset,numChannels) start=Signal(bool(0)) finish=Signal(bool(0)) write_inst=wb_bus.simulation_writer(start,0,values,finish,clock,reset) @instance def stimulus(): reset.next=True yield delay(40) reset.next=False yield delay(40) #Trigger the simulation writer start.next=True yield finish # for i in range(4): # #print i # yield wb_sim_write(wb_bus,clock,i,values[i]) yield delay(20) for i in range(1): for i in range(len(values)): yield wb_sim_read(wb_bus,clock,i) print i, wb_bus.db_read if values[i]!=wb_bus.db_read: print "Error at address",i return instances() inst=led_pwm_tb() #inst.convert(hdl='VHDL',name='bonfire_led_pwm_tb',path='tb') #inst.analyze_convert() inst.config_sim(trace=True) inst.run_sim(50000)

21.957746

76

0.652341

227

1,559

4.286344

0.370044

0.035971

0.053443

0.040082

0.098664

0

0.045264

0.234766

1,559

70

77

22.271429

0.770327

0.151379

0

0.052632

0

0.012186

0

0.030465

0

null

0

0.105263

null

0.052632

0

null

0

null

0

1

0

1

859249876ca19a024249e015e76aec296b5a74be

699

py

Python

setup.py

andypbarrett/Sunlight_under_seaice

2c42c4f562ce27089a1d24cd4ff1740c5b7fa6b6

[ "MIT" ]

3

2020-10-29T20:21:53.000Z

2021-08-17T18:52:23.000Z

setup.py

andypbarrett/Sunlight_under_seaice

2c42c4f562ce27089a1d24cd4ff1740c5b7fa6b6

[ "MIT" ]

null

setup.py

andypbarrett/Sunlight_under_seaice

2c42c4f562ce27089a1d24cd4ff1740c5b7fa6b6

[ "MIT" ]

1

2021-02-26T17:33:23.000Z

from setuptools import setup setup( # Needed to silence warnings (and to be a worthwhile package) name='sunderseaice', url='', author='Andy Barrett', author_email='andypbarrett@gmail.com', # Needed to actually package something packages=setuptools.find_packages(), # Needed for dependencies install_requires=['numpy','matplotlib','cartopy','pandas','xarray'], # *strongly* suggested for sharing version='0.1', # The license can be anything you like license='MIT', description='Tools for Sunlight Under Sea Ice project', # We will also need a readme eventually (there will be a warning) # long_description=open('README.txt').read(), )

33.285714

72

0.692418

87

699

5.517241

0.781609

0.033333

0

0.003552

0.194564

699

20

73

34.95

0.849023

0.426323

0

0.320611

0.05598

0

1

0

true

0

0.083333

0

0.083333

0

null

0

null

0

1

0

1

8594791d879179d2b9776fd3591fb68f07fc02f7

1,611

py

Python

src/dx/share/scraper/crawl.py

lmmx/dx

063e8f8cfc24dfdf09a12001b58b4017a75ea3e8

[ "MIT" ]

null

src/dx/share/scraper/crawl.py

lmmx/dx

063e8f8cfc24dfdf09a12001b58b4017a75ea3e8

[ "MIT" ]

2

2021-01-03T16:22:11.000Z

2021-02-07T08:41:57.000Z

src/dx/share/scraper/crawl.py

lmmx/dx

063e8f8cfc24dfdf09a12001b58b4017a75ea3e8

[ "MIT" ]

null

from .parse_topics import topics from .url_utils import base_url from .time_utils import StopWatch from .soup_processor import soup_from_response from .soup_structure import AMSBookInfoPage from sys import stderr from time import sleep __all__ = ["crawl"] def crawl(book_GET_func, initialise_at=1, volumes=None, sort=True, dry_run=False): pages = [] parsed_pages = [] book_url_iterator = book_GET_func(initialise_at, volumes, sort, dry_run) try: for page in book_url_iterator: url_subpath = page.url[len(base_url)-1:] if page.ok: #TODO: process the page print(f"GET success: '{url_subpath}'", file=stderr) pages.append(page) # Process the results here! if not dry_run: soup = soup_from_response(page) try: parsed = AMSBookInfoPage(soup) except Exception as e: print(f"Caught {type(e).__name__}: '{e}'", file=stderr) parsed = e # Do this so as to append it and store the exception finally: parsed_pages.append(parsed) else: print(f"GET failure: '{url_subpath}'", file=stderr) except KeyboardInterrupt: # Graceful early exit n_res = len(pages) s = "s" if n_res > 1 else "" print(f" » » » Crawler killed (got {n_res} page{s})", file=stderr) return pages, parsed_pages def __main__(): crawl() if __name__ == "__main__": __main__()

35.021739

87

0.577281

199

1,611

4.40201

0.427136

0.027397

0.03653

0.047945

0.052511

0

0.002791

0.332713

1,611

45

88

35.8

0.809302

0.073867

0

0.052632

0

0.097446

0

0.022222

0

1

0.052632

false

0

0.184211

0

0.263158

0.105263

0

null

0

null

0

1

0

1

8597bb717cd9dbb832a4f653849811a40ea39f93

1,224

py

Python

app/schemas/Recipe.py

koyokakijakarta/foodrecipe

cb8e3ce17140c2b2c524af6838f53359ec7f6dbd

[ "MIT" ]

2

2021-08-02T13:40:56.000Z

2021-08-04T22:18:02.000Z

app/schemas/Recipe.py

koyokakijakarta/foodrecipes

cb8e3ce17140c2b2c524af6838f53359ec7f6dbd

[ "MIT" ]

null

app/schemas/Recipe.py

koyokakijakarta/foodrecipes

cb8e3ce17140c2b2c524af6838f53359ec7f6dbd

[ "MIT" ]

null

from app import ma from app.models import Recipe as RecipeModels from app.schemas.Response import ResponseSchema from marshmallow import validate, ValidationError, EXCLUDE, post_load def validate_image(image): allowed_extensions = ['png', 'jpg', 'jpeg', 'gif'] if "." not in image or ("." in image and image.rsplit(".", 1)[1].lower() not in allowed_extensions): raise ValidationError("Image type must be a png, jpg, jpeg, or gif") class RecipeSchema(ma.Schema): class Meta: unknown = EXCLUDE id = ma.Int() user = ma.Str() name = ma.Str(required=True, validate=validate.Length(min=1)) country = ma.Str(required=True, validate=validate.Length(min=1)) category = ma.Str(required=True, validate=validate.Length(min=1)) image = ma.Str(required=True, validate=validate_image) class RecipeSchema2(RecipeSchema): description = ma.Str(required=True) class Recipe(RecipeSchema2): id_user = ma.Int(required=True) @post_load def create_recipe(self, data, **_): return RecipeModels.Recipe(**data) class RecipeAll(ResponseSchema): data = ma.Nested(RecipeSchema, many=True) class RecipeDetail(ResponseSchema): data = ma.Nested(RecipeSchema2)

29.142857

104

0.706699

160

1,224

5.35

0.4

0.035047

0.075935

0.099299

0.189252

0.150701

0

0.007882

0.170752

1,224

41

105

29.853659

0.835468

0

0.048203

0

1

0.071429

false

0

0.142857

0.035714

0.821429

0

null

0

null

0

1

0

1

859aafab5afb402fc156c1e0795b29e20656f384

237

py

Python

python3/hamming_distance.py

joshiaj7/CodingChallenges

f95dd79132f07c296e074d675819031912f6a943

[ "MIT" ]

1

2020-10-08T09:17:40.000Z

python3/hamming_distance.py

joshiaj7/CodingChallenges

f95dd79132f07c296e074d675819031912f6a943

[ "MIT" ]

null

python3/hamming_distance.py

joshiaj7/CodingChallenges

f95dd79132f07c296e074d675819031912f6a943

[ "MIT" ]

null

# leetcode class Solution: def hammingDistance(self, x: int, y: int) -> int: ans = 0 xor = bin(x^y)[2:] for l in xor: if l == '1': ans += 1 return ans

19.75

53

0.392405

29

237

3.206897

0.689655

0

0.033333

0.493671

237

12

54

19.75

0.741667

0.033755

0

0.004386

0

1

0.125

false

0

0.375

0

1

0

null

0

null

0

1

85a3072aae9e3b8d27f8bf5d2ee3424715f3b0cd

1,161

py

Python

hrsalespipes/api_integrations/migrations/0001_initial.py

hanztura/hrsalespipes

77accf3132726ced05d84fa2a41891b841f310b8

[ "Apache-2.0" ]

3

2020-03-26T12:43:43.000Z

2021-05-10T14:35:51.000Z

hrsalespipes/api_integrations/migrations/0001_initial.py

hanztura/hrsalespipes

77accf3132726ced05d84fa2a41891b841f310b8

[ "Apache-2.0" ]

5

2021-04-08T21:15:15.000Z

2022-02-10T11:03:12.000Z

hrsalespipes/api_integrations/migrations/0001_initial.py

hanztura/hrsalespipes

77accf3132726ced05d84fa2a41891b841f310b8

[ "Apache-2.0" ]

1

2022-01-30T19:24:48.000Z

# Generated by Django 2.2.10 on 2020-04-30 07:25 from django.db import migrations, models import django_extensions.db.fields class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='LinkedinApi', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created', django_extensions.db.fields.CreationDateTimeField(auto_now_add=True, verbose_name='created')), ('modified', django_extensions.db.fields.ModificationDateTimeField(auto_now=True, verbose_name='modified')), ('code', models.TextField(blank=True)), ('state', models.CharField(blank=True, max_length=200)), ('access_token', models.TextField(blank=True)), ('expires_in', models.SmallIntegerField(blank=True, null=True)), ], options={ 'ordering': ('-modified', '-created'), 'get_latest_by': 'modified', 'abstract': False, }, ), ]

35.181818

124

0.587425

112

1,161

5.946429

0.535714

0.054054

0.081081

0.108108

0

0.022727

0.279931

1,161

32

125

36.28125

0.773923

0.039621

0

1

0

0.116801

0

1

0

false

0

0.08

0

0.24

0

null

0

1

0

null

0

1

85a35bbea18ed77b4c16abc34395e75e650abec6

2,352

py

Python

aitools/proofs/builtin_provers.py

OneManEquipe/thinkerino

4b9508156371643f31d1d26608e42e3aafcb0153

[ "MIT" ]

1

2020-05-02T19:44:18.000Z

aitools/proofs/builtin_provers.py

OneManEquipe/aitools

4b9508156371643f31d1d26608e42e3aafcb0153

[ "MIT" ]

29

2019-08-07T17:49:03.000Z

2021-08-31T10:25:00.000Z

aitools/proofs/builtin_provers.py

OneManEquipe/thinkerino

4b9508156371643f31d1d26608e42e3aafcb0153

[ "MIT" ]

null

import logging from aitools.logic.core import Expression, Variable, LogicObject from aitools.logic.language import Language from aitools.logic.unification import Substitution from aitools.logic.utils import VariableSource from aitools.proofs.components import HandlerArgumentMode, HandlerSafety from aitools.proofs.knowledge_base import KnowledgeBase from aitools.proofs.language import Implies, Not from aitools.proofs.provers import TruthSubstitutionPremises, Prover, TruthSubstitution logger = logging.getLogger(__name__) language = Language() async def restricted_modus_ponens(formula: LogicObject, substitution: Substitution, kb: KnowledgeBase): """Restricted backward version of modus ponens, which won't perform recursive proof of implications""" v = VariableSource(language=language) if not (isinstance(formula, Expression) and formula.children[0] == Implies): rule_pattern = Implies(v.premise, formula) async for rule_proof in kb.async_prove(rule_pattern, previous_substitution=substitution): premise = rule_proof.substitution.get_bound_object_for(v.premise) async for premise_proof in kb.async_prove(premise, previous_substitution=rule_proof.substitution): yield TruthSubstitutionPremises(truth=True, substitution=premise_proof.substitution, premises=(rule_proof, premise_proof)) RestrictedModusPonens = Prover( listened_formula=Variable(language=language), handler=restricted_modus_ponens, argument_mode=HandlerArgumentMode.RAW, pass_substitution_as=..., pass_knowledge_base_as='kb', pure=True, safety=HandlerSafety.SAFE ) async def closed_world_assumption(formula: LogicObject, substitution: Substitution, kb: KnowledgeBase): language = Language() v = VariableSource(language=language) match = Substitution.unify(formula, Not(v.P)) if match is not None: try: await kb.async_prove(match.get_bound_object_for(v.P)).__anext__() except StopAsyncIteration: return TruthSubstitution(True, substitution) ClosedWorldAssumption = Prover( listened_formula=Variable(language=language), handler=closed_world_assumption, argument_mode=HandlerArgumentMode.RAW, pass_substitution_as=..., pass_knowledge_base_as='kb', pure=True, safety=HandlerSafety.SAFE )

47.04

121

0.770408

262

2,352

6.721374

0.354962

0.049972

0.036343

0.0477

0.28393

0.241908

0.177172

0.118115

0

0.000501

0.15051

2,352

49

122

48

0.880881

0

0.162162

0

0.001778

0

1

0

false

0.054054

0.243243

0

0.27027

0

null

0

null

0

1

0

1

85a8eea592075db3dcccddbe695f43785edf8bf5

5,334

py

Python

cryptongo.py

manu9812/MongoDB

d8cdb217e00f598747d0eee3780c7edff63f25c8

[ "Apache-2.0" ]

null

cryptongo.py

manu9812/MongoDB

d8cdb217e00f598747d0eee3780c7edff63f25c8

[ "Apache-2.0" ]

null

cryptongo.py

manu9812/MongoDB

d8cdb217e00f598747d0eee3780c7edff63f25c8

[ "Apache-2.0" ]

null

import pymongo import requests from collections import OrderedDict from hashlib import sha512 API_URL = 'https://api.coinmarketcap.com/v2/ticker/' API_URL_START = 'https://api.coinmarketcap.com/v2/ticker/?start={}' API_URL_LISTINGS = 'https://api.coinmarketcap.com/v2/listings/' def get_db_connection(uri): """ Define la conexión a la BD. MongoClient por defecto se conecta al localhost. :param uri: URI de conexión. :return: BD a utilizar. """ client = pymongo.MongoClient(uri) return client.cryptongo def get_hash(value): """ :param value: String con todos los valores de los campos del documento concatenados. :return: String hash generado con sha-512. """ return sha512(value.encode('utf-8')).hexdigest() def field_name(field): """ :param field: Tupla que tiene el nombre y valor de un campo del documento original. :return: El nombre del campo. """ return field[0] def remove_element_dictionary(dictionary, key): """ Un diccionario puede ser dinámico, por lo cuál se utiliza este método para eliminar un elemento del mismo. :param dictionary: :param key: :return: Diccionario con el elemento eliminado. """ r = dict(dictionary) del r[key] return r def get_ticker_hash(ticker_data): """ Genera el hash a partir de cada uno de los valores del documento. El documento (o diccionario) será ordenado alfabéticamente según su key. Como no se está ordenando los elementos del subdocumento 'quotes' se elimina temporalmente del diccionario para no tenerlo en cuenta al momento de la creación del hash. Si existe un valor diferente para el campo last_updated indica que los valores del subdocumento quotes también cambió, por lo cuál este documento será almacenado posteriormente en la BD. :param ticker_data: Documento de la criptomoneda. :return: La función que genera el hash según el string con todos los valores del documento concatenados. """ ticker_data = remove_element_dictionary(ticker_data, 'quotes') ticker_data = OrderedDict(sorted(ticker_data.items(), key=field_name)) # Se concatena en un string todos los valores ordenados del diccionario. ticker_value = '' for _, value in ticker_data.items(): ticker_value += str(value) return get_hash(ticker_value) def get_cryptocurrencies_from_api(position): """ De la API de CoinMarketCap se obtiene los documentos desde una posición inicial. La API por cada endpoint sólo permite 100 documentos. :return: Resultado de la consulta en formato json. """ url = API_URL_START.format(position) r = requests.get(url) if r.status_code == 200: result = r.json() return result raise Exception('API Error') # Lanzar una excepción. def get_num_cryptocurrencies_from_api(): """ De la API de CoinMarketCap se obtiene la cantidad de criptomonedas existentes. :return: Valor entero con la cantidad de documentos. """ r = requests.get(API_URL_LISTINGS) if r.status_code == 200: result = r.json() return result['metadata']['num_cryptocurrencies'] raise Exception('API Error') def check_if_exists(db_connection, ticker_hash): """ Verifica si la información ya existe en la BD (por medio de un hash). La BD almacenará un historico de las criptomonedas. :param db_connection: Conexión a la BD. :param ticker_hash: Hash del documento generado previamente. :return: Verdadero si el documento ya se encuentra, Falso si no. """ if db_connection.tickers.find_one({'ticker_hash': ticker_hash}): return True return False def save_ticker(db_connection, ticker_data=None): """ Almacena el documento en la BD siempre y cuando no exista. Se identifica si el documento ya fue almacenado o no por la generación de un hash. :param db_connection: :param ticker_data: Datos del documento. :return: Verdadero si almacena el documento. """ # Evita operaciones si no existe información. if not ticker_data: return False ticker_hash = get_ticker_hash(ticker_data) if check_if_exists(db_connection, ticker_hash): return False ticker_data['ticker_hash'] = ticker_hash # Almacena el documento en la BD de Mongo por medio de insertOne() db_connection.tickers.insert_one(ticker_data) return True if __name__ == '__main__': """ Para crear la conexión ssh del contenedor de Docker, es necesario que el programa inicialmente se este ejecutando contantemente. import time while True: time.sleep(300) """ connection = get_db_connection('mongodb://crypto-mongodb-dev:27017/') num_cryptocurrencies = get_num_cryptocurrencies_from_api() print('\nCryptomonedas actuales en Coin Market Cap: {}'.format(num_cryptocurrencies)) cont = 0 for i in range(1, num_cryptocurrencies, 100): tickers = get_cryptocurrencies_from_api(i) tickers_data = tickers['data'] for value in tickers_data.values(): if save_ticker(connection, value): cont += 1 print('Tickers almacenados... {}'.format(cont)) if cont > 0 else print('...') print('\nCryptomonedas totales almacenadas: {}'.format(cont))

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114

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0.017563

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0.057629

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5,334

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null

0

null

0

1

0

1

85b0e1fc58fb93fa89127aff65fd7e5a22d465df

2,994

py

Python

subs/data.py

Alimo1029/Alimo1029-s-Blog

41d28f83f2a475669535108f2c7f78713193d86c

[ "MIT" ]

null

subs/data.py

Alimo1029/Alimo1029-s-Blog

41d28f83f2a475669535108f2c7f78713193d86c

[ "MIT" ]

null

subs/data.py

Alimo1029/Alimo1029-s-Blog

41d28f83f2a475669535108f2c7f78713193d86c

[ "MIT" ]

null

# 数据库操作 # 导入模块 import pymysql # 初始化函数 def _init(): # 连接数据库 db = pymysql.connect( host='localhost', port=3306, user='Blog', passwd='20041123', db='alimo1029-blog', charset='utf8' ) # 创建游标 cursor = db.cursor() return db, cursor class C_user: def addUser(db, cursor, username, password, mail): # 添加新用户 try: args = (username, password, mail) sql = "INSERT INTO users(username, password, mail) VALUES (%s,%s,%s)" # print(sql) cursor.execute(sql, args) db.commit() return True except: # 异常 db.rollback() return False def searchUser(db, cursor, username, password, mail, need): """need = 0代表登录模式 need = 1代表注册模式 need = 2代表单纯查询 """ # 搜索数据库 args = (username, password) L_sql = "SELECT username FROM users WHERE username = %s AND password = %s" R_sql = "SELECT username FROM users WHERE username = %s" S_sql = "SELECT username FROM users WHERE username = %s" # print(L_sql) if (need == 0): # 登录模式 cursor.execute(L_sql, args) sehData = cursor.fetchone() if (sehData != None): # 账号和密码组合获取成功 # print('ok') # print(sehData) sehData = None return True else: # 获取不到，账号或密码错误 # print('sorry') L_sql = None return False elif (need == 1): # 注册模式 cursor.execute(R_sql, username) sehData = cursor.fetchone() if (sehData == None): # 无人使用，可以注册 C_user.addUser(db, cursor, username, password, mail) #db.commit() return True else: # 有人使用，禁止注册 sehData = None return False elif (need == 2): # 查询模式 cursor.execute(S_sql, username) sehData = cursor.fetchone() db.commit() if (sehData == None): # 查无此人 return 0 else: # 查有此人 sehData = None return 1 else: return False def delUser(db, cursor, username): # 删除指定用户 sql = "DELETE FROM users WHERE username = %s" try: cursor.execute(sql, username) db.commit() return True except: return False # db, cursor = _init() # print(C_user.addUser(db, cursor, 'limo1029', '20041123')) # print(C_user.searchUser(db, cursor, 'limo1029asd', '20041123', '1282160815@qq.com', 1)) # print(C_user.delUser(db, cursor, 'limo1029'))

27.981308

90

0.454242

279

2,994

4.820789

0.322581

0.05948

0.074349

0.065428

0.350186

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0.089219

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0.447896

2,994

107

91

27.981308

0.774955

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false

0.123077

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0.276923

0

null

0

null

0

1

0

1

85b1527e81795a67da561b6fc694b9544c6fff5c

1,832

py

Python

wt/pygardena/rest_api.py

geeak/wt.pygardena

d2c6e838b837d87e3e622bc78551c9023444256d

[ "Apache-2.0" ]

null

wt/pygardena/rest_api.py

geeak/wt.pygardena

d2c6e838b837d87e3e622bc78551c9023444256d

[ "Apache-2.0" ]

null

wt/pygardena/rest_api.py

geeak/wt.pygardena

d2c6e838b837d87e3e622bc78551c9023444256d

[ "Apache-2.0" ]

null

import requests from urllib.parse import urljoin class RestAPI(requests.Session): """ Encapsulates all REST calls to the Gardena API. """ # The base URL for all Gardena requests. Change this if you want to fire the requests against other services base_url = "https://sg-api.dss.husqvarnagroup.net/sg-1/" def __init__(self, *args, **kw): super().__init__(*args, **kw) self.headers["Accept"] = "application/json" def request(self, method, url, *args, **kw): return super().request(method, urljoin(self.base_url, url), *args, **kw) def post_sessions(self, email_address, password): """ Posts session data to the server. """ response = self.post('sessions', json={ 'sessions': { 'email': email_address, 'password': password, } }) return response.json() def get_locations(self, user_id): """ Gets all the locations that are associated with a given user ID. """ response = self.get("locations", params={ 'user_id': user_id, }) return response.json() def get_devices(self, location_id): """ Loads the devices from a given location ID. """ response = self.get('devices', params={ 'locationId': location_id }) return response.json() def post_command(self, device, command_name, parameters=None): data = {'name': command_name} if parameters is not None: data['parameters'] = parameters url = 'devices/{device.id}/abilities/{device.category}/command'.format(device=device) return self.post(url, params={ 'locationId': device.location.id }, json=data)

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0.576419

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1,832

5.039024

0.404878

0.023233

0.052275

0.060987

0.070668

0

0.000783

0.302948

1,832

57

113

32.140351

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0.162664

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0.171429

0

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0.037931

0

1

0.171429

false

0.057143

0.028571

0.428571

0

null

0

null

0

1

0

1

85c689c0c223234396fe26601b1d33f6c48083a4

1,699

py

Python

classes.py

ploggingdev/python_learn

0b056c0a57e21d9a0c86eb8bbd6e14b236e4d215

[ "MIT" ]

10

2017-06-23T07:30:52.000Z

2019-09-11T20:14:08.000Z

classes.py

ploggingdev/python_learn

0b056c0a57e21d9a0c86eb8bbd6e14b236e4d215

[ "MIT" ]

null

classes.py

ploggingdev/python_learn

0b056c0a57e21d9a0c86eb8bbd6e14b236e4d215

[ "MIT" ]

11

2017-01-12T15:34:17.000Z

2019-07-12T11:16:16.000Z

import copy class Point: """A class to represent a point""" details = "Represent points" def __init__(self,x=0,y=0): self.x=x self.y=y def __str__(self): return "x={} y={}".format(self.x,self.y) def get_sum(self): """Return sum of x and y components""" return self.x + self.y def add_point(self,to_add): """Update self by add x and y component of new_point""" self.x += to_add.x self.y += to_add.y def __add__(self,new_point): self.x += new_point.x self.y += new_point.y return self def print_point(point): """print contents of given point""" print("x={} y={}".format(point.x,point.y)) point = Point(10,20) print(point) print(point.details) print(point.get_sum()) new_point = Point(2,4) print(new_point) point.add_point(new_point) print(point) print_point(new_point) copied_point = copy.copy(point) copied_point.x = 5 copied_point.y = 5 print(point) print(copied_point) print(copied_point + new_point) class Vehicle(object): """Represents a vehicle""" def __init__(self,engine_power=100): self.engine_power = engine_power def __str__(self): return "Engine power : {}HP".format(self.engine_power) def print_name(self): print("From vehicle") class Car(Vehicle): """Represents a car""" def __init__(self,wheels=4): super().__init__() self.wheels = wheels def __str__(self): return "Engine power : {}HP , Wheels = {}".format(self.engine_power,self.wheels) def print_name(self): print("From vehicle") car = Car() print(car) car.print_name()

20.719512

88

0.616833

248

1,699

3.971774

0.197581

0.073096

0.030457

0.048731

0.150254

0.123858

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0.244261

1,699

82

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0

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0

0.073826

0

1

0.230769

false

0

0.019231

0.057692

0.423077

0.326923

0

null

0

null

0

1

0

1

85c7248c5f7b74ca201de147525cc98df11221a7

5,814

py

Python

dusty/systems/docker/testing_image.py

gamechanger/dusty

dd9778e3a4f0c623209e53e98aa9dc1fe76fc309

[ "MIT" ]

421

2015-06-02T16:29:59.000Z

2021-06-03T18:44:42.000Z

dusty/systems/docker/testing_image.py

gamechanger/dusty

dd9778e3a4f0c623209e53e98aa9dc1fe76fc309

[ "MIT" ]

404

2015-06-02T20:23:42.000Z

2019-08-21T16:59:41.000Z

dusty/systems/docker/testing_image.py

gamechanger/dusty

dd9778e3a4f0c623209e53e98aa9dc1fe76fc309

[ "MIT" ]

16

2015-06-16T17:21:02.000Z

2020-03-27T02:27:09.000Z

from __future__ import absolute_import import docker from ...compiler.compose import container_code_path, get_volume_mounts from ...compiler.spec_assembler import get_expanded_libs_specs from ...log import log_to_client from ...command_file import dusty_command_file_name, lib_install_commands_for_app_or_lib from .common import spec_for_service from . import get_docker_client from ... import constants class ImageCreationError(Exception): def __init__(self, code): self.code = code message = 'Run exited with code {}'.format(code) super(ImageCreationError, self).__init__(message) def _ensure_base_image(app_or_lib_name): testing_spec = _testing_spec(app_or_lib_name) log_to_client('Getting the base image for the new image') docker_client = get_docker_client() if 'image' in testing_spec: _ensure_image_pulled(testing_spec['image']) return testing_spec['image'] elif 'build' in testing_spec: image_tag = 'dusty_testing_base/image' log_to_client('Need to build the base image based off of the Dockerfile here: {}'.format(testing_spec['build'])) try: docker_client.remove_image(image=image_tag) except: log_to_client('Not able to remove image {}'.format(image_tag)) docker_client.build(path=testing_spec['build'], tag=image_tag) return image_tag def _ensure_image_pulled(image_name): docker_client = get_docker_client() full_image_name = image_name if ':' not in image_name: full_image_name = '{}:latest'.format(image_name) for image in docker_client.images(): if full_image_name in image['RepoTags']: break else: split = image_name.split(':') repo, tag = split[0], 'latest' if len(split) == 1 else split[1] docker_client.pull(repo, tag, insecure_registry=True) def _get_split_volumes(volumes): print volumes split_volumes = [] for volume in volumes: volume_list = volume.split(':') split_volumes.append({'host_location': volume_list[0], 'container_location': volume_list[1]}) return split_volumes def _get_create_container_volumes(split_volumes): return [volume_dict['container_location'] for volume_dict in split_volumes] def _get_create_container_binds(split_volumes): binds_dict = {} for volume_dict in split_volumes: binds_dict[volume_dict['host_location']] = {'bind': volume_dict['container_location'], 'ro': False} return binds_dict def _create_tagged_image(base_image_tag, new_image_tag, app_or_lib_name): docker_client = get_docker_client() command = _get_test_image_setup_command(app_or_lib_name) split_volumes = _get_split_volumes(get_volume_mounts(app_or_lib_name, get_expanded_libs_specs(), test=True)) create_container_volumes = _get_create_container_volumes(split_volumes) create_container_binds = _get_create_container_binds(split_volumes) container = docker_client.create_container(image=base_image_tag, command=command, volumes=create_container_volumes, host_config=docker.utils.create_host_config(binds=create_container_binds)) docker_client.start(container=container['Id']) log_to_client('Running commands to create new image:') for line in docker_client.logs(container['Id'], stdout=True, stderr=True, stream=True): log_to_client(line.strip()) exit_code = docker_client.wait(container['Id']) if exit_code: raise ImageCreationError(exit_code) new_image = docker_client.commit(container=container['Id']) try: docker_client.remove_image(image=new_image_tag) except: log_to_client('Not able to remove image {}'.format(new_image_tag)) docker_client.tag(image=new_image['Id'], repository=new_image_tag, force=True) docker_client.remove_container(container=container['Id'], v=True) def _testing_spec(app_or_lib_name): expanded_specs = get_expanded_libs_specs() return spec_for_service(app_or_lib_name, expanded_specs)['test'] def test_image_name(app_or_lib_name): return "dusty/test_{}".format(app_or_lib_name) def _get_test_image_setup_command(app_or_lib_name): return 'sh {}/{}'.format(constants.CONTAINER_COMMAND_FILES_DIR, dusty_command_file_name(app_or_lib_name)) def test_image_exists(app_or_lib_name): image_name = test_image_name(app_or_lib_name) docker_client = get_docker_client() images = docker_client.images() for image in images: # Need to be careful, RepoTags can be explicitly set to None repo_tags = image.get('RepoTags') or [] if image_name in repo_tags or '{}:latest'.format(image_name) in repo_tags: return True return False def create_test_image(app_or_lib_name): """ Create a new test image by applying changes to the base image specified in the app or lib spec """ log_to_client('Creating the testing image') base_image_tag = _ensure_base_image(app_or_lib_name) new_image_name = test_image_name(app_or_lib_name) _create_tagged_image(base_image_tag, new_image_name, app_or_lib_name) def update_test_image(app_or_lib_name): """ Apply updates to an existing testing image that has already been created by Dusty - updating this test image should be quicker than creating a new test image from the base image in the spec """ log_to_client('Updating the testing image') if not test_image_exists(app_or_lib_name): create_test_image(app_or_lib_name) return test_image_tag = test_image_name(app_or_lib_name) _create_tagged_image(test_image_tag, test_image_tag, app_or_lib_name)

41.827338

121

0.722222

820

5,814

4.703659

0.184146

0.031112

0.04978

0.068447

0.315789

0.281566

0.158413

0.10993

0.095152

0.048224

0

0.001066

0.192982

5,814

138

122

42.130435

0.820972

0.009976

0

0.073395

0

0.090474

0.004422

0

null

0

0.082569

null

0.009174

0

null

0

null

0

1

0

1

85c79914bdd90b98f0604e1d7179a76a1a86f2d2

589

py

Python

ios_code_generator/models/__init__.py

banxi1988/iOSCodeGenerator

bb07930660f87378040b8783d203a6a2637b289e

[ "MIT" ]

34

2016-12-22T13:18:01.000Z

2018-04-23T05:53:32.000Z

ios_code_generator/models/__init__.py

codetalks-new/iOSCodeGenerator

bb07930660f87378040b8783d203a6a2637b289e

[ "MIT" ]

3

2017-05-13T08:07:22.000Z

2018-01-03T00:28:16.000Z

ios_code_generator/models/__init__.py

codetalks-new/iOSCodeGenerator

bb07930660f87378040b8783d203a6a2637b289e

[ "MIT" ]

6

2016-12-23T00:37:37.000Z

2019-05-29T02:15:33.000Z

# -*- coding: utf-8 -*- __author__ = 'banxi' from .core import * def _auto_import_models(): import os import importlib searchpath = os.path.dirname(__file__) exclude_modules = ['__init__', 'core'] for filename in os.listdir(searchpath): if not filename.endswith('.py'): continue module_name = filename[:-3] if module_name in exclude_modules: continue importlib.import_module("."+module_name, 'ios_code_generator.models') # 由于 Model generator 使用装饰器自动注册的机制, 所以需要模块导入之后才能自动注册,所以在这里需要自动导入. _auto_import_models()

25.608696

77

0.66893

66

589

5.575758

0.606061

0.081522

0.086957

0

0.004367

0.222411

589

22

78

26.772727

0.799127

0.142615

0

0.133333

0

0.091816

0.0499

0

1

0.066667

false

0

0.4

0

0.466667

0

null

0

null

0

1

0

1

a41c8e50b0c70eef5aa82e699a4fb84a00b348ab

2,629

py

Python

Projeto_Capitulo/randomQuizGenerator.py

alexcarlos06/Automatize_Tarefas_Ma-antes

da4c02de415fb6dec703b3009b40925ccb77a4d8

[ "MIT" ]

null

Projeto_Capitulo/randomQuizGenerator.py

alexcarlos06/Automatize_Tarefas_Ma-antes

da4c02de415fb6dec703b3009b40925ccb77a4d8

[ "MIT" ]

null

Projeto_Capitulo/randomQuizGenerator.py

alexcarlos06/Automatize_Tarefas_Ma-antes

da4c02de415fb6dec703b3009b40925ccb77a4d8

[ "MIT" ]

null

#! python3 # randomQUizGenerator.py - Cria provas com perguntas e respostas em ordem aleatória # juntamente com os gabaritos contendo as respostas. import random captals = {'Acre (AC)': 'Rio Branco', 'Alagoas (AL)': 'Maceió', 'Amapá (AP)': 'Macapá', 'Amazonas (AM)': 'Manaus', 'Bahia (BA)': 'Salvador', 'Ceará (CE)': 'Fortaleza', 'Distrito Federal (DF)': 'Brasília', 'Espírito Santo (ES)': 'Vitória', 'Goiás (GO)': 'Goiânia', 'Maranhão (MA)': 'São Luís', 'Mato Grosso (MT)': 'Cuiabá', 'Mato Grosso do Sul (MS)': 'Campo Grande', 'Minas Gerais (MG)': 'Belo Horizonte', 'Pará (PA)': 'Belém', 'Paraíba (PB)': 'João Pessoa', 'Paraná (PR)': 'Curitiba', 'Pernambuco (PE)': 'Recife', 'Piauí (PI)': 'Teresina', 'Rio de Janeiro (RJ)': 'Rio de Janeiro', 'Rio Grande do Norte (RN)': 'Natal', 'Rio Grande do Sul (RS)': 'Porto Alegre', 'Rondônia (RO)': 'Porto Velho', 'Roraima (RR)': 'Boa Vista', 'Santa Catarina (SC)': 'Florianópolis', 'São Paulo (SP)': 'São Paulo', 'Sergipe (SE)': 'Aracaju', 'Tocantins (TO)': 'Palmas'} # Gera os arquivos contendo as provas de acordo com a quantidade de loopings. for quizNum in range(1): # Cria os arquivos de prova e gabarito quizFile = open(f'captalsquiz{quizNum + 1}.txt', 'w', encoding='utf-8') answerKeyFile = open(f'capital_answers{quizNum + 1}.txt', "w", encoding='UTF-8') # Escreve o cabeçalho da prova quizFile.write(f'Name: \n\nDate: \n\nPeriod: \n\n') quizFile.write(f'{"*" * 20} State Captals Quiz (Form {quizNum + 1})') quizFile.write('\n\n') # Embaralha a lista de estados states = list(captals.keys()) random.shuffle(states) # Percorre todos os estados criando um looping para gerar uma pergunta para cada for questionNum, _ in enumerate(states): correctAnswer = captals[states[questionNum]] wrongAnswers = list(captals.values()) del wrongAnswers[wrongAnswers.index(correctAnswer)] wrongAnswers = random.sample(wrongAnswers, 3) answerOptions = wrongAnswers + [correctAnswer] random.shuffle(answerOptions) # Grava pergunta e as opções de resposta no arquivo de prova quizFile.write(f'{questionNum + 1}. What is the captal of {states[questionNum]}? \n') for i in range(4): quizFile.write(f'\t( {"ABCD"[i]} ) {answerOptions[i]}\n') quizFile.write('\n') # Grava o gabarito com as respostas em um arquivo answerKeyFile.write(f'{questionNum + 1}. {"ABCD"[answerOptions.index(correctAnswer)]}\n') quizFile.close() answerKeyFile.close()

51.54902

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0.63218

326

2,629

5.092025

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0.006256

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2,629

50

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52.58

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0.03125

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null

0

null

0

1

0

1

a42561eef40ebc9c8026f949326c153bc04718cb

2,701

py

Python

pycmbs/utils/download.py

pygeo/pycmbs

0df863e1575ffad21c1ea9790bcbd3a7982d99c6

[ "MIT" ]

9

2015-04-01T04:22:25.000Z

2018-08-31T03:51:34.000Z

pycmbs/utils/download.py

pygeo/pycmbs

0df863e1575ffad21c1ea9790bcbd3a7982d99c6

[ "MIT" ]

14

2015-01-27T20:33:10.000Z

2016-06-02T07:23:25.000Z

pycmbs/utils/download.py

pygeo/pycmbs

0df863e1575ffad21c1ea9790bcbd3a7982d99c6

[ "MIT" ]

8

2015-02-07T20:46:42.000Z

2019-10-25T00:36:32.000Z

# -*- coding: utf-8 -*- """ This file is part of pyCMBS. (c) 2012- Alexander Loew For COPYING and LICENSE details, please refer to the LICENSE file """ import os from pycmbs.data import Data import tempfile def get_example_directory(): """ returns directory where this file is located """ testfile = 'xxxxdownload_test.txt' # by default use examples directory r = os.path.dirname(os.path.realpath(__file__)) # check if one can write into the directory try: f = open(r + os.sep + testfile, 'w') f.write('test') f.close() os.remove(r + os.sep + testfile) except: # if no write access then r = tempfile.mkdtemp() if r[-1] != os.sep: r += os.sep return r def get_example_data_directory(): """ returns directory where the example data should be """ return get_example_directory() + 'example_data' + os.sep def get_sample_file(name='air', return_object=True): """ returns Data object of example file including or the filename with the full path. If the file is not existing yet, then it will be downloaded. Parameters ---------- name : str specifies which type of sample file should be returned ['air','rain'] return_object : bool return Data object if True, otherwise the filename is returned """ files = { 'air': {'name' : 'air.mon.mean.nc', 'url': 'ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.derived/surface/air.mon.mean.nc', 'variable': 'air'}, 'rain': {'name' : 'pr_wtr.eatm.mon.mean.nc', 'url': 'ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.derived/surface/pr_wtr.eatm.mon.mean.nc', 'variable': 'pr_wtr'} } if name not in files.keys(): raise ValueError('Invalid sample file') tdir = get_example_data_directory() fname = tdir + files[name]['name'] # download data if not existing yet if not os.path.exists(fname): url = files[name]['url'] _download_file(url, tdir) if not os.path.exists(fname): print fname raise ValueError('Download failed!') # ... here everything should be fine if return_object: return Data(fname, files[name]['variable'], read=True) else: return fname def _download_file(url, tdir): """ download URL to target directory tdir """ if not os.path.exists(tdir): os.makedirs(tdir) print('Downloading file ... this might take a few minutes') print('URL: ' + url) curdir=os.getcwd() os.chdir(tdir) os.system('wget --ftp-user=anonymous --ftp-password=nix ' + url) os.chdir(curdir) print('Downloading finished!')

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0.626064

368

2,701

4.519022

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null

0

null

0

1

0

1

a4313a8cb9b42c4803f94ed9278e0e452cf914fe

1,044

py

Python

requestForProposals.py

converj/reasonSurvey

dd40784da4b07cfeb9fd873bab820d627cb026c1

[ "Apache-2.0" ]

null

requestForProposals.py

converj/reasonSurvey

dd40784da4b07cfeb9fd873bab820d627cb026c1

[ "Apache-2.0" ]

null

requestForProposals.py

converj/reasonSurvey

dd40784da4b07cfeb9fd873bab820d627cb026c1

[ "Apache-2.0" ]

null

# Import external modules. from google.appengine.ext import ndb import logging # Import local modules. from configuration import const as conf from constants import Constants const = Constants() const.MAX_RETRY = 3 # Parent key: none class RequestForProposals(ndb.Model): title = ndb.StringProperty() detail = ndb.StringProperty() creator = ndb.StringProperty() allowEdit = ndb.BooleanProperty() # Store frozen-flag in request-for-proposals record, because storing frozen-flag in link-key-record # may be inconsistent if multiple link-keys exist, and link-key-record is designed to be constant. freezeUserInput = ndb.BooleanProperty( default=False ) # Experimental hideReasons = ndb.BooleanProperty( default=False ) @ndb.transactional( retries=const.MAX_RETRY ) def setEditable( requestId, editable ): logging.debug( 'setEditable() editable={}'.format(editable) ) requestRecord = RequestForProposals.get_by_id( int(requestId) ) requestRecord.allowEdit = editable requestRecord.put()

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1,044

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0.16092

1,044

34

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30.705882

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1

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false

0

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0.631579

0

null

0

null

0

1

0

1

a432127ca424bf2078e641f02350e6a86d7a56dc

3,943

py

Python

RelevantRecommendation.py

ma-zhiyuan/DynameDB-data-transfer

481d321f4ba21ac190f9ac65995f7373447aad46

[ "Apache-2.0" ]

null

RelevantRecommendation.py

ma-zhiyuan/DynameDB-data-transfer

481d321f4ba21ac190f9ac65995f7373447aad46

[ "Apache-2.0" ]

null

RelevantRecommendation.py

ma-zhiyuan/DynameDB-data-transfer

481d321f4ba21ac190f9ac65995f7373447aad46

[ "Apache-2.0" ]

null

#-*-coding:utf8-*- from __future__ import print_function # Python 2/3 compatibility import boto3 import time import json import decimal import datetime import json from boto3.dynamodb.conditions import Key, Attr from botocore.exceptions import ClientError class DecimalEncoder(json.JSONEncoder): def default(self, o): if isinstance(o, decimal.Decimal): if o % 1 > 0: return float(o) else: return int(o) return super(DecimalEncoder, self).default(o) class DetailInfoOnline(object): def __init__(self, table_kind, region_name, endpoint_url, table_name): self._dynamodb = boto3.resource(table_kind, region_name = region_name, endpoint_url = endpoint_url) self._table = self._dynamodb.Table(table_name) def query_item(self, docid): try: response = self._table.query( KeyConditionExpression=Key('id').eq(docid) ) if len(response) > 0: return response['Items'] else: return [] except Exception,e: print (str(e)) return [] def scan_all_with_wait(self): try: pe = "id, info" response = self._table.scan( ProjectionExpression=pe, ) result = [] while "Items" in response and 0 < len(response["Items"]): if 0 != len(response["Items"]): result += response["Items"] if "LastEvaluatedKey" not in response: break lek = response["LastEvaluatedKey"] response = self._table.scan( ProjectionExpression=pe, ExclusiveStartKey=lek ) time.sleep(2) print(len(result)) #break return result except Exception, e: print (str(e)) return [] def scan_all(self): try: pe = "userId, anonymId" response = self._table.scan( ProjectionExpression=pe, ) result = [] while "Items" in response and 0 < len(response["Items"]): if 0 != len(response["Items"]): print(response["Items"]) result += response["Items"] if "LastEvaluatedKey" not in response: break lek = response["LastEvaluatedKey"] print(lek) response = self._table.scan( ProjectionExpression=pe, ExclusiveStartKey=lek ) return result except Exception, e: print (str(e)) return [] def query_mul_item(self, docid_list): try: fe = Attr("id").is_in(docid_list) response = self._table.scan( FilterExpression=fe ) result = [] while "Items" in response and 0 < len(response["Items"]): if 0 != len(response["Items"]): result += response["Items"] if "LastEvaluatedKey" not in response: break lek = response['LastEvaluatedKey'] response = self._table.scan( FilterExpression=fe, ExclusiveStartKey=lek ) return result except Exception,e: print(str(e)) return [] if __name__ =="__main__": print("start...") data_obj = DetailInfoOnline('dynamodb', 'ap-northeast-2', "https://dynamodb.ap-northeast-2.amazonaws.com", 'MXNewsUserDev') res = data_obj.scan_all() print(res[0]) print("end...")

33.700855

127

0.492772

356

3,943

5.317416

0.27809

0.075541

0.062863

0.066561

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0.470153

0.425251

0

0.008197

0.412123

3,943

117

128

33.700855

0.808456

0.01192

0

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0.076014

0

null

0

0.084906

null

0.103774

0

null

0

null

0

1

0

1

a4322add8a068e7ab80e2464fbfab257f4b3067a

5,465

py

Python

library/docker/docker.py

Kafkamorph/shutit

e281be48d6f102518506ad07754116452781a369

[ "MIT" ]

null

library/docker/docker.py

Kafkamorph/shutit

e281be48d6f102518506ad07754116452781a369

[ "MIT" ]

null

library/docker/docker.py

Kafkamorph/shutit

e281be48d6f102518506ad07754116452781a369

[ "MIT" ]

null

#Copyright (C) 2014 OpenBet Limited # #Permission is hereby granted, free of charge, to any person obtaining a copy #of this software and associated documentation files (the "Software"), to deal #in the Software without restriction, including without limitation the rights #to use, copy, modify, merge, publish, distribute, sublicense, and/or sell #copies of the Software, and to permit persons to whom the Software is furnished #to do so, subject to the following conditions: # #The above copyright notice and this permission notice shall be included in all #copies or substantial portions of the Software. # #THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR #IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS #FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR #COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER #IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN #CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. from shutit_module import ShutItModule class docker(ShutItModule): def build(self,shutit): shutit.send('echo deb http://archive.ubuntu.com/ubuntu precise universe > /etc/apt/sources.list.d/universe.list') shutit.send('apt-get update -qq') shutit.install('iptables') shutit.install('ca-certificates') shutit.install('lxc') shutit.install('curl') shutit.install('aufs-tools') shutit.send('pushd /usr/bin') shutit.send('curl https://get.docker.io/builds/Linux/x86_64/docker-latest > docker') shutit.send('chmod +x docker') wrapdocker = """cat > /usr/bin/wrapdocker << 'END' #!/bin/bash # First, make sure that cgroups are mounted correctly. CGROUP=/sys/fs/cgroup [ -d $CGROUP ] || mkdir $CGROUP mountpoint -q $CGROUP || mount -n -t tmpfs -o uid=0,gid=0,mode=0755 cgroup $CGROUP || { echo "Could not make a tmpfs mount. Did you use -privileged?" exit 1 } if [ -d /sys/kernel/security ] && ! mountpoint -q /sys/kernel/security then mount -t securityfs none /sys/kernel/security || { echo "Could not mount /sys/kernel/security." echo "AppArmor detection and -privileged mode might break." } fi # Mount the cgroup hierarchies exactly as they are in the parent system. for SUBSYS in $(cut -d: -f2 /proc/1/cgroup) do [ -d $CGROUP/$SUBSYS ] || mkdir $CGROUP/$SUBSYS mountpoint -q $CGROUP/$SUBSYS || mount -n -t cgroup -o $SUBSYS cgroup $CGROUP/$SUBSYS # The two following sections address a bug which manifests itself # by a cryptic "lxc-start: no ns_cgroup option specified" when # trying to start containers withina container. # The bug seems to appear when the cgroup hierarchies are not # mounted on the exact same directories in the host, and in the # container. # Named, control-less cgroups are mounted with "-o name=foo" # (and appear as such under /proc/<pid>/cgroup) but are usually # mounted on a directory named "foo" (without the "name=" prefix). # Systemd and OpenRC (and possibly others) both create such a # cgroup. To avoid the aforementioned bug, we symlink "foo" to # "name=foo". This shouldn't have any adverse effect. echo $SUBSYS | grep -q ^name= && { NAME=$(echo $SUBSYS | sed s/^name=//) ln -s $SUBSYS $CGROUP/$NAME } # Likewise, on at least one system, it has been reported that # systemd would mount the CPU and CPU accounting controllers # (respectively "cpu" and "cpuacct") with "-o cpuacct,cpu" # but on a directory called "cpu,cpuacct" (note the inversion # in the order of the groups). This tries to work around it. [ $SUBSYS = cpuacct,cpu ] && ln -s $SUBSYS $CGROUP/cpu,cpuacct done # Note: as I write those lines, the LXC userland tools cannot setup # a "sub-container" properly if the "devices" cgroup is not in its # own hierarchy. Let's detect this and issue a warning. grep -q :devices: /proc/1/cgroup || echo "WARNING: the 'devices' cgroup should be in its own hierarchy." grep -qw devices /proc/1/cgroup || echo "WARNING: it looks like the 'devices' cgroup is not mounted." # Now, close extraneous file descriptors. pushd /proc/self/fd >/dev/null for FD in * do case "$FD" in # Keep stdin/stdout/stderr [012]) ;; # Nuke everything else *) eval exec "$FD>&-" ;; esac done popd >/dev/null # If a pidfile is still around (for example after a container restart), # delete it so that docker can start. rm -rf /var/run/docker.pid # If we were given a PORT environment variable, start as a simple daemon; # otherwise, spawn a shell as well if [ "$PORT" ] then exec docker -d -H 0.0.0.0:$PORT else docker -d & exec bash fi END""" shutit.send(wrapdocker) shutit.send('chmod +x /usr/bin/wrapdocker') start_docker = """cat > /root/start_docker.sh << 'END' #!/bin/bash /root/start_ssh_server.sh docker -d & /usr/bin/wrapdocker echo "SSH Server up" echo "Docker daemon running" END""" shutit.send(start_docker) shutit.send('chmod +x /root/start_docker.sh') shutit.send('popd') return True def is_installed(self,shutit): config_dict = shutit.cfg return False def module(): return docker( 'shutit.tk.docker.docker', 0.396, description='docker server (communicates with host\'s docker daemon)', depends=['shutit.tk.setup', 'shutit.tk.ssh_server.ssh_server'] )

34.588608

115

0.699726

821

5,465

4.6419

0.429963

0.02624

0.017843

0.012595

0.037785

0.015219

0

0.006812

0.194145

5,465

157

116

34.808917

0.858538

0.190485

0

0.135593

0

0.025424

0.851759

0.050397

0

1

0.025424

false

0

0.008475

0.067797

0

null

0

1

0

null

0

1

a436e3db21c5de4499c7dacad151e9a9365a2dd6

18,815

py

Python

Tac Tac Toe/ttt.py

promitbasak/TicTacToe-Pygame

6114cee9498d70942f48a0b6eb360f02bcf72df0

[ "MIT" ]

3

2020-06-15T13:50:51.000Z

2021-08-18T05:10:17.000Z

Tac Tac Toe/ttt.py

promitbasak/TicTacToe-Pygame

6114cee9498d70942f48a0b6eb360f02bcf72df0

[ "MIT" ]

null

Tac Tac Toe/ttt.py

promitbasak/TicTacToe-Pygame

6114cee9498d70942f48a0b6eb360f02bcf72df0

[ "MIT" ]

1

2020-06-15T13:52:49.000Z

import random import time CELLS = 9 PLAYERS = 2 CORNERS = [1, 3, 7, 9] NON_CORNERS = [2, 4, 6, 8] board = {} for i in range(9): board[i + 1] = 0 signs = {0: " ", 1: "X", 2: "O"} winner = None def rpermutation(a): array = a[:] for _ in range(len(array)): yield array.pop(random.randint(0, len(array)-1)) class player: def __init__(self, name, mark): self.name = name self.sign = "X" if mark == 1 else "O" self.mark = mark self.playings = [] self.antimark = mark % 2 + 1 def getturn(self): showboard() print(f"\n{self.name}'s Turn:") time.sleep(1) print(f"\n{self.name} is giving his turn", end="") for _ in range(6): print(".", end="") time.sleep(0.1) print() class user(player): def getturn(self): showboard() print(f"\n{self.name}'s Turn:") while True: turnprompt = f"Enter where do you want to put {self.sign}\nEnter corresponding cell number [1-9]: " turn = getintinput(turnprompt, 1, 9) if board[turn] == 0: break elif board[turn] == self.mark: print("You have already used that cell, please choose another!!!") else: print("Opponent has already used that cell, please choose another!!!") return turn class easy(player): def getturn(self): super().getturn() while True: turn = random.choice(getemptycells()) return turn class medium(player): def getturn(self): super().getturn() for i in range(3): row = [board[i * 3 + 1], board[i * 3 + 2], board[i * 3 + 3]] if sum(row) == 2 * self.mark and (self.mark in row): try: # print("1row") return cellvalidator(i * 3 + row.index(0) + 1) except: pass col = [board[i + 1], board[i + 4], board[i + 7]] if sum(col) == 2 * self.mark and (self.mark in col): try: # print("1col") return cellvalidator(i + col.index(0) * 3 + 1) except: pass diag = [board[1], board[5], board[9]] if sum(diag) == 2 * self.mark and (self.mark in diag): try: # print("1diag") return cellvalidator(diag.index(0) * 4 + 1) except: pass antidiag = [board[3], board[5], board[7]] if sum(antidiag) == 2 * self.mark and (self.mark in antidiag): try: # print("1antidiag") return cellvalidator(3 + antidiag.index(0) * 2) except: pass for i in range(3): row = [board[i * 3 + 1], board[i * 3 + 2], board[i * 3 + 3]] if sum(row) == 2 * self.antimark and (self.antimark in row): try: # print("row") return cellvalidator(i * 3 + row.index(0) + 1) except: pass col = [board[i + 1], board[i + 4], board[i + 7]] if sum(col) == 2 * self.antimark and (self.antimark in col): try: # print("col") return cellvalidator(i + col.index(0) * 3 + 1) except: pass diag = [board[1], board[5], board[9]] if sum(diag) == 2 * self.antimark and (self.antimark in diag): try: # print("diag") return cellvalidator(diag.index(0) * 4 + 1) except: pass antidiag = [board[3], board[5], board[7]] if sum(antidiag) == 2 * self.antimark and (self.antimark in antidiag): try: # print("antidiag") return cellvalidator(3 + antidiag.index(0) * 2) except: pass while True: turn = random.choice(getemptycells()) return turn class hard(player): def getturn(self): super().getturn() for i in range(3): row = [board[i * 3 + 1], board[i * 3 + 2], board[i * 3 + 3]] if sum(row) == 2 * self.mark and (self.mark in row): try: # print("1row") return cellvalidator(i * 3 + row.index(0) + 1) except: pass col = [board[i + 1], board[i + 4], board[i + 7]] if sum(col) == 2 * self.mark and (self.mark in col): try: # print("1col") return cellvalidator(i + col.index(0) * 3 + 1) except: pass diag = [board[1], board[5], board[9]] if sum(diag) == 2 * self.mark and (self.mark in diag): try: # print("1diag") return cellvalidator(diag.index(0) * 4 + 1) except: pass antidiag = [board[3], board[5], board[7]] if sum(antidiag) == 2 * self.mark and (self.mark in antidiag): try: # print("1antidiag") return cellvalidator(3 + antidiag.index(0) * 2) except: pass for i in range(3): row = [board[i * 3 + 1], board[i * 3 + 2], board[i * 3 + 3]] if sum(row) == 2 * self.antimark and (self.antimark in row): try: # print("row") return cellvalidator(i * 3 + row.index(0) + 1) except: pass col = [board[i + 1], board[i + 4], board[i + 7]] if sum(col) == 2 * self.antimark and (self.antimark in col): try: # print("col") return cellvalidator(i + col.index(0) * 3 + 1) except: pass diag = [board[1], board[5], board[9]] if sum(diag) == 2 * self.antimark and (self.antimark in diag): try: # print("diag") return cellvalidator(diag.index(0) * 4 + 1) except: pass antidiag = [board[3], board[5], board[7]] if sum(antidiag) == 2 * self.antimark and (self.antimark in antidiag): try: # print("antidiag") return cellvalidator(3 + antidiag.index(0) * 2) except: pass for i in list(rpermutation(CORNERS)): if not board[i]: if sum([board[i] for i in getadjacentcorners(i)]): try: return cellvalidator(i) except: pass if not board[5]: return 5 if board[5] == self.mark: for i in list(rpermutation(NON_CORNERS)): if board[i] == self.mark: # print("last but one") try: return cellvalidator(CELLS + 1 - i) except: pass # print("corner") try: return cellvalidator(random.choice([i for i in getemptycells() if i in CORNERS])) except: pass # print("last") return cellvalidator(random.choice(getemptycells())) class deadly(player): def getturn(self): super().getturn() ################# Priority ################## # Aggressive for i in range(3): row = [board[i * 3 + 1], board[i * 3 + 2], board[i * 3 + 3]] if sum(row) == 2 * self.mark and (self.mark in row): try: # print("1row") return cellvalidator(i * 3 + row.index(0) + 1) except: pass col = [board[i + 1], board[i + 4], board[i + 7]] if sum(col) == 2 * self.mark and (self.mark in col): try: # print("1col") return cellvalidator(i + col.index(0) * 3 + 1) except: pass diag = [board[1], board[5], board[9]] if sum(diag) == 2 * self.mark and (self.mark in diag): try: # print("1diag") return cellvalidator(diag.index(0) * 4 + 1) except: pass antidiag = [board[3], board[5], board[7]] if sum(antidiag) == 2 * self.mark and (self.mark in antidiag): try: # print("1antidiag") return cellvalidator(3 + antidiag.index(0) * 2) except: pass # Defensive for i in range(3): row = [board[i * 3 + 1], board[i * 3 + 2], board[i * 3 + 3]] if sum(row) == 2 * self.antimark and (self.antimark in row): try: # print("row") return cellvalidator(i * 3 + row.index(0) + 1) except: pass col = [board[i + 1], board[i + 4], board[i + 7]] if sum(col) == 2 * self.antimark and (self.antimark in col): try: # print("col") return cellvalidator(i + col.index(0) * 3 + 1) except: pass diag = [board[1], board[5], board[9]] if sum(diag) == 2 * self.antimark and (self.antimark in diag): try: # print("diag") return cellvalidator(diag.index(0) * 4 + 1) except: pass antidiag = [board[3], board[5], board[7]] if sum(antidiag) == 2 * self.antimark and (self.antimark in antidiag): try: # print("antidiag") return cellvalidator(3 + antidiag.index(0) * 2) except: pass ######################################## emptycells = getemptycells() mycells = self.getmycells() oppenentcells = self.getoppenentcells() # Only move Defensive if len(emptycells) == 8: if sum([board[i] for i in CORNERS]) != 0: return 5 elif 5 in oppenentcells: return random.choice(CORNERS) # Only move 2 Defensive if len(emptycells) % 2 == 0 and 5 in mycells: for i in list(rpermutation(NON_CORNERS)): try: return cellvalidator(i) except: pass # Aggressive if len(emptycells) == 9: return random.choice(CORNERS + [5] + [5]) if len(emptycells) == 7 and (5 in mycells) and sum([board[i] for i in CORNERS]) != 0: for i in CORNERS: if i in oppenentcells: try: return cellvalidator(CELLS + 1 - i) except: pass if len(emptycells) % 2 != 0: if sum([board[i] for i in CORNERS]) != 0: for i in list(rpermutation(CORNERS)): if not board[i] and sum([board[i] for i in getadjacentcorners(i)]): adjcells = getadjacentcells(i) if not(adjcells[0] in oppenentcells or adjcells[1] in oppenentcells): try: return cellvalidator(i) except: pass else: try: # print("corner") return cellvalidator(random.choice(CORNERS)) except: pass for i in list(rpermutation(CORNERS)): if not board[i]: if sum([board[i] for i in getadjacentcorners(i)]): try: return cellvalidator(i) except: pass if not board[5]: return 5 # Adjacent corners for i in list(rpermutation(CORNERS)): if not board[i]: if sum([board[i] for i in getadjacentcorners(i)]): try: return cellvalidator(i) except: pass # Non Corners for mid if len(emptycells) % 2 == 0: if board[5] == self.mark: for i in list(rpermutation(NON_CORNERS)): if board[i] == self.mark: # print("last but one") try: return cellvalidator(CELLS + 1 - i) except: pass # Corners try: # print("corner") return cellvalidator(random.choice([i for i in getemptycells() if i in CORNERS])) except: pass if board[5] == self.mark: for i in list(rpermutation(NON_CORNERS)): if board[i] == self.mark: # print("last but one") try: return cellvalidator(CELLS + 1 - i) except: pass # print("last") return cellvalidator(random.choice(getemptycells())) def getmycells(self): return [i for i in range(1, 10) if board[i] == self.mark] def getoppenentcells(self): return [i for i in range(1, 10) if board[i] == self.antimark] def getintinput(prompt, lower, upper): while True: print() try: num = int(input(prompt)) except: print("You must enter one number from the options shown above!!!") else: if num < lower or num > upper: print("You must choose a number between {} and {}!!!".format(lower, upper)) else: break return num def headline(): print(""" ============================== TIC TAC TOE ============================== """) welcome = "Welcome to the game..." for i in welcome: print(i, end="") time.sleep(0.1) print("\n") while True: name = input("Enter your name: ") if len(name) != 0: break else: print("You must enter a name to play!!!") mark = getintinput("Choose your mark\n1. Cross (X) 2. Round (O): ", 1, 2) return name, mark def init(): diff = getintinput("Choose your difficulty\n1. Easy 2. Medium 3. Hard 4. Deadly: ", 1, 4) return diff def showboard(): print() print(" | | ") print(f" {signs[board[1]]} | {signs[board[2]]} | {signs[board[3]]} ") print(" | | ") for _ in range(11): print("—", end="") print("\n | | ") print(f" {signs[board[4]]} | {signs[board[5]]} | {signs[board[6]]} ") print(" | | ") for _ in range(11): print("—", end="") print("\n | | ") print(f" {signs[board[7]]} | {signs[board[8]]} | {signs[board[9]]} ") print(" | | ") def getemptycells(): return [i for i in range(1, 10) if board[i] == 0] def cellvalidator(cell): if board[cell] == 0: return cell else: # print(f"Cell {cell} is occupied!!!") raise Exception() def getadjacentcorners(cell): adjacent = CORNERS[:] adjacent.remove(cell) adjacent.remove(CELLS + 1 - cell) return adjacent def getadjacentcells(cell): if cell < 5: return [cell * 2, 5 - cell] else: return [15 - cell, cell - 1] def solve(): for i in range(3): if board[i * 3 + 1] == board[i * 3 + 2] == board[i * 3 + 3] and board[i * 3 + 1] != 0: return board[i * 3 + 1] elif board[i + 1] == board[i + 4] == board[i + 7] and board[i + 1] != 0: return board[i + 1] if board[1] == board[5] == board[9] and board[1] != 0: return board[1] elif board[3] == board[5] == board[7] and board[3] != 0: return board[3] try: list(board.values()).index(0) except: return -1 def marker(cell, mark): if (cell < 1 and cell > 10): print(f"Cell: {cell} not exist!!!") raise Exception() elif board[cell] != 0: print(f"Cell: {cell} is occupied!!!") raise Exception() else: board[cell] = mark def getwinner(winner, human, comp): showboard() if winner == -1: print("\nMatch Drawn", end="") for _ in range(3): print(".", end="") time.sleep(0.2) elif winner: if human.mark == winner: print(f"\n{human.name} Wins!", end="") else: print(f"\n{comp.name} Wins!", end="") for _ in range(15): print("!", end="") time.sleep(0.05) key = getintinput("\nDO you want to play again?\n1. Yes 2. No: ", 1, 2) board = {} for i in range(9): board[i + 1] = 0 winner = None return key, board, winner ############### GAME ################## name, mark = headline() while True: diff = init() human = user(name, mark) if diff == 1: comp = easy("Computer", mark % 2 + 1) elif diff == 2: comp = medium("Computer", mark % 2 + 1) elif diff == 3: comp = hard("Computer", mark % 2 + 1) else: comp = deadly("Computer", mark % 2 + 1) if random.randint(0, 1): players = [human, comp] else: players = [comp, human] while True: for p in players: marker(p.getturn(), p.mark) winner = solve() if winner: break if winner: break key, board, winner = getwinner(winner, human, comp) if key == 2: print("") endstr = "Good Bye..." for i in endstr: print(i, end="") time.sleep(0.1) break ############### END ###################

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0

null

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null

0

1

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1

a43b7b785ea2069cf30bf58f80e9cd62796231df

387

py

Python

setup.py

exord/cobmcmc

162ba8d4fab35aa44bc8a4828eb51e25df13c4e2

[ "MIT" ]

null

setup.py

exord/cobmcmc

162ba8d4fab35aa44bc8a4828eb51e25df13c4e2

[ "MIT" ]

null

setup.py

exord/cobmcmc

162ba8d4fab35aa44bc8a4828eb51e25df13c4e2

[ "MIT" ]

null

from distutils.core import setup setup(name='cobmcmc', description='Change-of-Basis, ' 'a flexible Metropolis-Hastings MCMC algorithm.', version='0.1.0', author='Rodrigo F. Diaz', author_email='rodrigo.diaz@unige.ch', url='', long_description='**COMING SOON**', packages=['cobmcmc'], requires=['numpy', 'scipy'] )

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387

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0.054264

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1

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true

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0.083333

0

null

0

null

0

1

0

1

a43edff2bca252c202547a4220b20784da0fb45a

2,757

py

Python

Assignment_3.py

Lee-Lilly/Embedded-python

57a3da93be9ce27c5f196b76a3ad83340e44451c

[ "MIT" ]

null

Assignment_3.py

Lee-Lilly/Embedded-python

57a3da93be9ce27c5f196b76a3ad83340e44451c

[ "MIT" ]

null

Assignment_3.py

Lee-Lilly/Embedded-python

57a3da93be9ce27c5f196b76a3ad83340e44451c

[ "MIT" ]

null

#!/usr/bin/env python # coding: utf-8 # --- # # Python Basics - Assingment 3 ToDo # # --- # **Exercise 1** # # **Task 1** Define a function called **repeat_stuff** that takes in two inputs, **stuff**, and **num_repeats**. # # We will want to make this function print a string with stuff repeated num_repeats amount of times. For now, only put an empty print statement inside the function. # # In[6]: def repeat_stuff(stuff, num_repeats): for i in range(num_repeats): print(stuff) repeat_stuff (input("Input an word: "), int(input("Repeat how many times? "))) # --- # **Task 2** Outside of the function, call repeat_stuff. # # You can use the value "Row " for stuff and 3 for num_repeats. # Change the print statement inside repeat_stuff to a **return** statement instead. It should **return stuff*num_repeats** # Note: Multiplying a string just makes a new string with the old one repeated! For example: "na*6 -> result is nanananana # Then, give the parameter **num_repeats** a default value of **10**. # In[7]: def repeat_stuff(stuff, num_repeats): return stuff*num_repeats repeat_stuff (input("Input an word: "), int(input("Repeat how many times? "))) # --- # **Task 3** Add **repeat_stuff("Row ", 3)** and the string **"Your Boat. " ** together and save the result to a variable called **lyrics**. # # Create a variable called **song **and assign it the value of **repeat_stuff** called with the singular input **lyrics**. # # Print song. # # Good job!! # In[14]: def repeat_stuff(stuff, num_repeats): return stuff*num_repeats lyrics = repeat_stuff("Row ", 3) + "Your Boat! \n" song = repeat_stuff(lyrics, 3) print(song) # --- # **Exercise 2** # # The program reads the height in centimeters and then converts the height to feet and inches. # # Problem Solution # # 1. Take the height in centimeters and store it in a variable. # 2. Convert the height in centimeters into inches and feet. # 3. Print the length in inches and feet. # 4. Exit. # # Hint! # inches=0.394*cm # feet=0.0328*cm # In[1]: def cm_feet(figure): return round(figure/30.48, 2) height = float(input("Enter your height in cm: " )) res = cm_feet(height) print("You are ", res, "feet tall.") # --- # **Exercise 3** # # This is a Python Program to check whether a number is positive or negative. # # Problem Solution # # 1. Take the value of the integer and store in a variable. # 2. Use an if statement to determine whether the number is positive or negative. # 3. Exit. # In[1]: def evaluate(num): if num < 0: print(num, "is negative.") elif num > 0: print(num, "is positive.") elif num == 0: print(num, "is zero.") num = int(input("Enter an integer: ")) evaluate(num)

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427

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null

0

null

0

1

0

1

a4412e6d819800bfa4c95e8966db3d3ce6218c2c

875

py

Python

cogs/moderation.py

robonone/RoboNone

8795367ee38fac2110b4b5fc6d1f733a07f7caa4

[ "MIT" ]

6

2019-03-16T05:55:14.000Z

2019-04-05T10:10:37.000Z

cogs/moderation.py

robonone/RoboNone

8795367ee38fac2110b4b5fc6d1f733a07f7caa4

[ "MIT" ]

6

2019-03-09T07:29:27.000Z

2019-04-07T17:57:14.000Z

cogs/moderation.py

peteranytime/RoboNone

8795367ee38fac2110b4b5fc6d1f733a07f7caa4

[ "MIT" ]

3

2019-06-07T11:08:33.000Z

2021-02-13T07:33:10.000Z

import argparse import copy import datetime import re import shlex from typing import Union import time import discord from discord.ext import commands class Arguments(argparse.ArgumentParser): def error(self, message): raise RuntimeError(message) def setup(bot): bot.add_cog(Moderation(bot)) def is_owner(ctx): return ctx.author == ctx.guild.owner_id class Moderation(commands.Cog): def __init__(self, bot): self.bot = bot @commands.command(hidden=True) @commands.check(is_owner) async def sudo(self, ctx, who: Union[discord.Member, discord.User], *, command: str): """Run a command as another user.""" msg = copy.copy(ctx.message) msg.author = who msg.content = ctx.prefix + command new_ctx = await self.bot.get_context(msg, cls=type(ctx)) await self.bot.invoke(new_ctx)

22.435897

89

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121

875

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0.047619

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0.05102

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0.210286

875

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1

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false

0

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0.592593

0

null

0

null

0

1

0

1

a4426592f5f9a887ec3c6cdd36ebe20492020363

484

py

Python

magichour/validate/splitter.py

Lab41/magichour

69c03e87fe5d067068f298a5cf9e005a97b337db

[ "Apache-2.0" ]

34

2016-01-10T22:03:10.000Z

2020-06-29T08:06:58.000Z

magichour/validate/splitter.py

Lab41/magichour

69c03e87fe5d067068f298a5cf9e005a97b337db

[ "Apache-2.0" ]

2

2017-07-24T16:45:42.000Z

2017-10-20T20:18:49.000Z

magichour/validate/splitter.py

Lab41/magichour

69c03e87fe5d067068f298a5cf9e005a97b337db

[ "Apache-2.0" ]

20

2015-12-14T19:45:02.000Z

2019-07-10T14:51:48.000Z

from random import shuffle def splitRDD(rdd, weights=[0.8, 0.1, 0.1]): train, validation, test = rdd.randomSplit(weights=weights) return train, validation, test def split(data, weights=[0.8, 0.1, 0.1]): d = [x for x in data] shuffle(d) idx_train = len(d) * weights[0] idx_validation = len(d) * (weights[0] + weights[1]) train = d[:idx_train] validation = d[idx_train:idx_validation] test = d[idx_validation:] return train, validation, test

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0

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484

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0

null

0

1

0

null

0

1

a442c144831d337a7da0927dc8fc3b093e18af2f

1,085

py

Python

newton.py

Robokkie/NA

bce44ecd6f64ecea79d256cad4115d57e80e9576

[ "MIT" ]

null

newton.py

Robokkie/NA

bce44ecd6f64ecea79d256cad4115d57e80e9576

[ "MIT" ]

null

newton.py

Robokkie/NA

bce44ecd6f64ecea79d256cad4115d57e80e9576

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding:utf-8 -*- import math from function import Function import function if __name__ == '__main__': print "please input the number that a,b,c,d for function" a,b,c,d = map(int, raw_input('input a,b,c,d=').split(",")) func=Function(a,b,c,d) func.showinfo() while True: print "input x,r | x<r & f(x)*f(r)<0" x,r = map(float,raw_input('input x,r=').split(",")) if (func.fnf(x)<func.fnf(r)) and (func.fnf(x)*func.fnf(r)<0): print "correct" break else: print "wrong numbers (x>r or f(x)*f(r)>=0)" th = float(raw_input('please input threshold:')) k=0 print "number of process, approximation, diff" print("{0:4d},{1:8.5f},{2}".format(k,x,"---")) approximations=[] while True: k+=1 xn = x - func.fnf(x)/func.diff(x) print("{0:4d},{1:8.5f},{2:8.5f}".format(k,xn,xn-x)) temp=(k,x) approximations.append(temp) if(math.fabs(xn-x) < th): break else: x=xn print "number of process = {0:4d}".format(k) print "the solution = {0:10.6f}".format(xn) function.write_csv("newton_results.csv",approximations)

20.865385

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0

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Python

fourq-master/impl/compare.py

rikard-sics/group-oscore-key

463163334e42da86ecf26374ed89e2cb750f6e18

[ "BSD-3-Clause" ]

1

2022-01-07T13:46:08.000Z

fourq-master/impl/compare.py

rikard-sics/group-oscore-key

463163334e42da86ecf26374ed89e2cb750f6e18

[ "BSD-3-Clause" ]

null

fourq-master/impl/compare.py

rikard-sics/group-oscore-key

463163334e42da86ecf26374ed89e2cb750f6e18

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python from random import getrandbits from time import time from fields import GFp2, GFp25519, p1271, p25519 import curve4q import curve25519 # Adjust these if you want more/fewer samples FIELD_TEST_LOOPS = 1000 DH_TEST_LOOPS = 100 def compare_fields(): base_corpus = [getrandbits(256) for i in range(FIELD_TEST_LOOPS)] corpus1271 = [(x % p1271, (x >> 128) % p1271) for x in base_corpus] corpus25519 = [x % p25519 for x in base_corpus] def speedtest(f): # Test in GFp2 tic = time() for i in range(0, FIELD_TEST_LOOPS-1): f(GFp2, i, corpus1271) toc = time() t1271 = 1000 * (toc - tic) # Test in GFp25519 tic = time() for i in range(0, FIELD_TEST_LOOPS-1): f(GFp25519, i, corpus25519) toc = time() t25519 = 1000 * (toc - tic) return (t1271, t25519) tests = { "add": lambda field, i, corpus: field.add(corpus[i], corpus[i+1]), "mul": lambda field, i, corpus: field.mul(corpus[i], corpus[i+1]), "sqr": lambda field, i, corpus: field.sqr(corpus[i]), "inv": lambda field, i, corpus: field.inv(corpus[i]) } print "===== Time for {} field operations =====".format(FIELD_TEST_LOOPS) print print "{:5s} {:>8s} {:>8s}".format("Op", "GFp2", "GFp25519") for name in tests: (t1271, t25519) = speedtest(tests[name]) print "{:5s} {:8.2f}ms {:8.2f}ms".format(name, t1271, t25519) print def compare_ops(): opcounts = {} m = getrandbits(256) G = curve4q.AffineToR1(curve4q.Gx, curve4q.Gy) k = '77076d0a7318a57d3c16c17251b26645df4c2f87ebc0992ab177fba51db92c2a'.decode('hex') u = '0900000000000000000000000000000000000000000000000000000000000000'.decode('hex') G392 = curve4q.MUL_endo(392, G) T_windowed = curve4q.table_windowed(G) T_endo = curve4q.table_endo(G) T392_windowed = curve4q.table_windowed(G392) T392_endo = curve4q.table_endo(G392) # R1toR2 GFp2.ctr_reset() Q = curve4q.R1toR2(G) opcounts["R1toR2"] = GFp2.ctr() # R1toR3 GFp2.ctr_reset() Q = curve4q.R1toR3(G) opcounts["R1toR3"] = GFp2.ctr() # R2toR4 G2 = curve4q.R1toR2(G) GFp2.ctr_reset() Q = curve4q.R2toR4(G2) opcounts["R2toR4"] = GFp2.ctr() # ADD_core P = curve4q.R1toR3(G) Q = curve4q.R1toR2(G) GFp2.ctr_reset() R = curve4q.ADD_core(P, Q) opcounts["ADD_core"] = GFp2.ctr() # ADD P = G Q = curve4q.R1toR2(G) GFp2.ctr_reset() R = curve4q.ADD(P, Q) opcounts["ADD"] = GFp2.ctr() # DBL GFp2.ctr_reset() Q = curve4q.DBL(G) opcounts["DBL"] = GFp2.ctr() # MUL_windowed GFp2.ctr_reset() Q = curve4q.MUL_windowed(m, G) opcounts["MUL_windowed"] = GFp2.ctr() # MUL_windowed_fixed GFp2.ctr_reset() Q = curve4q.MUL_windowed(m, G, table=T_windowed) opcounts["MUL_windowed_fixed"] = GFp2.ctr() # Phi GFp2.ctr_reset() phiP = curve4q.phi(G) opcounts["phi"] = GFp2.ctr() # Psi GFp2.ctr_reset() psiP = curve4q.psi(G) opcounts["psi"] = GFp2.ctr() # MUL_endo GFp2.ctr_reset() mP = curve4q.MUL_endo(m, G) opcounts["MUL_endo"] = GFp2.ctr() # MUL_endo_fixed GFp2.ctr_reset() Q = curve4q.MUL_endo(m, G, table=T_endo) opcounts["MUL_endo_fixed"] = GFp2.ctr() # DH_windowed GFp2.ctr_reset() mP = curve4q.DH_windowed(m, G[:2]) opcounts["DH_windowed"] = GFp2.ctr() # DH_windowed_fixed GFp2.ctr_reset() mP = curve4q.DH_windowed(m, G[:2], table=T392_windowed) opcounts["DH_windowed_fixed"] = GFp2.ctr() # DH_endo GFp2.ctr_reset() mP = curve4q.DH_endo(m, G[:2]) opcounts["DH_endo"] = GFp2.ctr() # DH_endo_fixed GFp2.ctr_reset() mP = curve4q.DH_endo(m, G[:2], table=T392_endo) opcounts["DH_endo_fixed"] = GFp2.ctr() # x25519 GFp25519.ctr_reset() ku = curve25519.x25519(k, u) opcounts["x25519"] = GFp25519.ctr() rows = ["R1toR2", "R1toR3", "R2toR4", "ADD_core", "ADD", "DBL", "phi", "psi", "psiphi", "MUL_windowed", "MUL_windowed_fixed", "MUL_endo", "MUL_endo_fixed", "DH_windowed", "DH_windowed_fixed", "DH_endo", "DH_endo_fixed", "x25519"] print "===== Field operation count =====" print print "{:18s} {:>7s} {:>7s} {:>7s} {:>7s}".format("", "M", "S", "A", "I") for name in rows: if name not in opcounts: continue opctr = opcounts[name] print "{:20s} {:7.1f} {:7.1f} {:7.1f} {:7.1f}".format(name, opctr[2], opctr[1], opctr[0], opctr[3]) print def compare_time(): G = (curve4q.Gx, curve4q.Gy) u = '09'.ljust(64, '0').decode('hex') G392 = curve4q.MUL_endo(392, curve4q.AffineToR1(curve4q.Gx, curve4q.Gy)) T392_windowed = curve4q.table_windowed(G392) T392_endo = curve4q.table_endo(G392) coeff4q = [getrandbits(256) for i in range(DH_TEST_LOOPS)] coeff25519 = ["{:x}".format(m).ljust(64, '0').decode('hex') for m in coeff4q] time4q_windowed = 0 time4q_windowed_fixed = 0 time4q_endo = 0 time4q_endo_fixed = 0 time25519 = 0 for i in range(len(coeff4q)): tic = time() mP = curve4q.DH_windowed(coeff4q[i], G) toc = time() time4q_windowed += toc - tic tic = time() mP = curve4q.DH_windowed(coeff4q[i], G, table=T392_windowed) toc = time() time4q_windowed_fixed += toc - tic tic = time() mP = curve4q.DH_endo(coeff4q[i], G) toc = time() time4q_endo += toc - tic tic = time() mP = curve4q.DH_endo(coeff4q[i], G, table=T392_endo) toc = time() time4q_endo_fixed += toc - tic tic = time() ku = curve25519.x25519(coeff25519[i], u) toc = time() time25519 += toc - tic print "===== Time for {} field operations =====".format(DH_TEST_LOOPS) print print "{:<28s} {:>7.2f}ms".format("Curve4Q (windowed)", 1000 * time4q_windowed) print "{:<28s} {:>7.2f}ms".format("Curve4Q (win fixed base)", 1000 * time4q_windowed_fixed) print "{:<28s} {:>7.2f}ms".format("Curve4Q (endomorphisms)", 1000 * time4q_endo) print "{:<28s} {:>7.2f}ms".format("Curve4Q (endo fixed base)", 1000 * time4q_endo_fixed) print "{:<28s} {:>7.2f}ms".format("Curve25519", 1000 * time25519) if __name__ == "__main__": compare_fields() compare_ops() compare_time()

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py

Python

var/spack/repos/builtin/packages/py-flit-core/package.py

zygyz/spack

e0f044561e9b3cb384bfb0f364555e5875b1a492

[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]

348

2015-12-30T04:05:54.000Z

2022-02-21T10:57:53.000Z

var/spack/repos/builtin/packages/py-flit-core/package.py

LLNL/spack

0b2507053e58ef4058631c10e5d9bf7ea2222c20

[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]

3,994

2015-12-09T09:43:00.000Z

2017-11-04T02:46:39.000Z

var/spack/repos/builtin/packages/py-flit-core/package.py

hfp/spack

0b2507053e58ef4058631c10e5d9bf7ea2222c20

[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]

359

2015-12-16T18:25:55.000Z

2017-11-02T14:51:13.000Z

# Copyright 2013-2021 Lawrence Livermore National Security, LLC and other # Spack Project Developers. See the top-level COPYRIGHT file for details. # # SPDX-License-Identifier: (Apache-2.0 OR MIT) import glob import os import zipfile from spack import * class PyFlitCore(PythonPackage): """Distribution-building parts of Flit.""" homepage = "https://github.com/takluyver/flit" url = "https://github.com/takluyver/flit/archive/refs/tags/3.3.0.tar.gz" maintainers = ['takluyver'] version('3.3.0', sha256='f5340b268563dd408bf8e2df6dbc8d4d08bc76cdff0d8c7f8a4be94e5f01f22f') depends_on('python@3.4:', type=('build', 'run')) depends_on('py-toml', type=('build', 'run')) def build(self, spec, prefix): with working_dir('flit_core'): python('build_dists.py') def install(self, spec, prefix): wheel = glob.glob(os.path.join('flit_core', 'dist', '*.whl'))[0] with zipfile.ZipFile(wheel) as f: f.extractall(python_purelib)

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