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

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""" 异常抛出的原理: raise: 关键字抛出表示抛出指定的异常实例对象 raise 抛出异常的实例对象,然后except去拦截这个异常实例对象. 能不能拦截:是要看这个错误是不是这个错误的类创建的. 拦截:判断是不是同一个类造出来的,是,就把这个异常实例对象赋值给error. 先抛出来才能拦截. 自定义异常:不用解释器提供异常类. 1> 让异常信息是中文的,让用户也能看懂.更加人性化 2> 提前干预,还没有出错之前就来对问题进行处理. 3> 简化异常处理的流程,批量抛出,一次拦截. 注意: 自定义异常类必须继承Exception类,是为了使用raise的能力.否则会报错误. """ # try: # # print(a) # error_instance = NameError("name 'a' is not define") # 创建指定异常的实例对象 # print(id(error_instance)) # 2291212287760 # raise error_instance # 抛出指定的异常实例对象 # # # except NameError as error: # 里面写了各种错误类型,根据错误去找是什么样的错误类型. # print('提示:%s' % error) # 实际是一个NameError()类产生的一个实例对象.error实际就是一个错误类型的实例对象. # print(id(error)) # 2291212287760 # error = error_instance ,实际对应关系. class PhoneException(Exception): # 实际的 # def __init__(self, name): # self.name = name # # def __str__(self): # # return 'xxxxxxxxxxxxxxxx' # return self.name pass phone_num = input('手机号:') try: if len(phone_num) != 11: # print('号码位数不对') raise PhoneException('手机号码位数不对') elif phone_num.isdecimal() is False: # isdecimal():判断是不是数字,返回值是False或者是True # print('号码不是纯数字') raise PhoneException('手机号码不是纯数字') except PhoneException as error: print(error) # var = 'df'.center(20,'*') # 输出 : *********df********* # print(var)

[ "bngzifei@gmail.com" ]

bngzifei@gmail.com

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itsolutionscorp/AutoStyle-Clustering

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2020-12-11T07:27:19.291038

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import string def stripPunc(x): # From S.Lott's solution for i in string.punctuation: x = x.replace(i,"") while " " in x: x = x[0:x.find(" ")] + x[(x.find(" ") + 1):] return x def word_count(x): words = {} for i in stripPunc(x).lower().split(" "): if i in words: words[i] += 1 else: words[i] = 1 return words

[ "rrc@berkeley.edu" ]

rrc@berkeley.edu

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/sdBs/AllRun/pg_2239+043/sdB_PG_2239+043_coadd.py

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tboudreaux/SummerSTScICode

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from gPhoton.gMap import gMap def main(): gMap(band="NUV", skypos=[339.639,4.857103], skyrange=[0.0333333333333,0.0333333333333], stepsz = 30., cntfile="/data2/fleming/GPHOTON_OUTPUT/LIGHTCURVES/sdBs/sdB_PG_2239+043/sdB_PG_2239+043_movie_count.fits", cntcoaddfile="/data2/fleming/GPHOTON_OUTPUT/LIGHTCURVES/sdB/sdB_PG_2239+043/sdB_PG_2239+043_count_coadd.fits", overwrite=True, verbose=3) if __name__ == "__main__": main()

[ "thomas@boudreauxmail.com" ]

thomas@boudreauxmail.com

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seiya0723/diary_04

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2023-06-28T19:13:59.905437

2021-07-31T01:33:14

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""" Django settings for config project. Generated by 'django-admin startproject' using Django 3.1.2. For more information on this file, see https://docs.djangoproject.com/en/3.1/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.1/ref/settings/ """ from pathlib import Path import os # Build paths inside the project like this: BASE_DIR / 'subdir'. BASE_DIR = Path(__file__).resolve().parent.parent # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/3.1/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = 'whj+@6kd^oo2_1$1gat0s7v4rk6vtjann1x+tqxeq_(d=tt6+h' # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True ALLOWED_HOSTS = [] # Application definition INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', 'bbs.apps.BbsConfig', ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] ROOT_URLCONF = 'config.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [ os.path.join(BASE_DIR,"templates") ], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'config.wsgi.application' # Database # https://docs.djangoproject.com/en/3.1/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': BASE_DIR / 'db.sqlite3', } } # Password validation # https://docs.djangoproject.com/en/3.1/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/3.1/topics/i18n/ LANGUAGE_CODE = 'ja' TIME_ZONE = 'Asia/Tokyo' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/3.1/howto/static-files/ STATIC_URL = '/static/' if DEBUG: STATICFILES_DIRS = [os.path.join(BASE_DIR, "static")] if not DEBUG: # Herokuデプロイ時に必要になるライブラリのインポート import django_heroku import dj_database_url # ALLOWED_HOSTSにホスト名)を入力 ALLOWED_HOSTS = [ 'hogehoge.herokuapp.com' ] # 静的ファイル配信ミドルウェア、whitenoiseを使用。※順番不一致だと動かないため下記をそのままコピーする。 MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'whitenoise.middleware.WhiteNoiseMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] # DBを使用する場合は下記を入力する。 DATABASES = { 'default': { 'ENGINE': 'django.db.backends.postgresql_psycopg2', 'NAME': 'ここにDatabaseを入力', 'USER': 'ここにUserを入力', 'PASSWORD': 'ここにPasswordを入力', 'HOST': 'ここにHostを入力', 'PORT': 'ここにPortを入力', } } db_from_env = dj_database_url.config(conn_max_age=600, ssl_require=True) DATABASES['default'].update(db_from_env) # 静的ファイル(static)の存在場所を指定する。 STATIC_ROOT = os.path.join(BASE_DIR, 'static')

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seiya@asahina

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hasgeek/packman

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#!/usr/bin/env python from coaster.manage import init_manager from packman.models import db from packman import app, init_for if __name__ == '__main__': db.init_app(app) manager = init_manager(app, db, init_for) manager.run()

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kiran@hasgeek.com

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/blimgui/dist/OpenGL/raw/GL/NV/stereo_view_rendering.py

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juso40/bl2sdk_Mods

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'''Autogenerated by xml_generate script, do not edit!''' from OpenGL import platform as _p, arrays # Code generation uses this from OpenGL.raw.GL import _types as _cs # End users want this... from OpenGL.raw.GL._types import * from OpenGL.raw.GL import _errors from OpenGL.constant import Constant as _C import ctypes _EXTENSION_NAME = 'GL_NV_stereo_view_rendering' def _f( function ): return _p.createFunction( function,_p.PLATFORM.GL,'GL_NV_stereo_view_rendering',error_checker=_errors._error_checker)

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justin.sostmann@googlemail.com

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/tests/matchers/test_called_once_with.py

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hieueastagile/robber.py

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refs/heads/master

2021-01-21T21:09:42.378373

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from unittest import TestCase from mock import Mock from robber import expect from robber.matchers.called_once_with import CalledOnceWith class TestCalledOnceWith(TestCase): def test_matches(self): mock = Mock() mock(1, 2, 3, a=4) expect(CalledOnceWith(mock, 1, False, 2, 3, a=4).matches()).to.eq(True) def test_failure_message_with_not_called_mock(self): mock = Mock() called_once_with = CalledOnceWith(mock, 2) called_once_with.matches() message = called_once_with.failure_message() expect(message) == 'Expected {mock} to be called once with 2. Actually not called.'.format(mock=mock) def test_failure_message_with_called_multiple_times(self): mock = Mock() mock(1) mock(1) called_once_with = CalledOnceWith(mock, 2) called_once_with.matches() message = called_once_with.failure_message() expect(message) == 'Expected {mock} to be called once with 2. ' \ 'Actually called 2 times with 1.'.format(mock=mock) def test_failure_message_with_wrong_params(self): mock = Mock() mock(4, 5, 6, c=7) called_once_with = CalledOnceWith(mock, 1, False, 2, 3, a=4) called_once_with.matches() message = called_once_with.failure_message() expect(message) == 'Expected {mock} to be called once with 1, 2, 3, a=4. ' \ 'Actually called 1 times with 4, 5, 6, c=7.'.format(mock=mock) def test_negative_failure_message(self): mock = Mock() mock(1, 2, 3, a=4) called_once_with = CalledOnceWith(mock, 1, True, 2, 3, a=4) called_once_with.matches() message = called_once_with.failure_message() expect(message) == 'Expected {mock} not to be called once with 1, 2, 3, a=4. ' \ 'Actually called 1 times with 1, 2, 3, a=4.'.format(mock=mock) def test_register(self): expect(expect.matcher('called_once_with')) == CalledOnceWith def test_not_a_mock(self): self.assertRaises(TypeError, CalledOnceWith("a", "b").matches) self.assertRaises(TypeError, CalledOnceWith(1, "b").matches)

[ "open-source@eastagile.com" ]

open-source@eastagile.com

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/venv/lib/python3.9/site-packages/django/contrib/admindocs/urls.py

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Dapucla/EP

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from django.contrib.admindocs import views from django.urls import path, re_path urlpatterns = [ path( '', views.BaseAdminDocsView.as_view(template_name='admin_doc/post_list.html'), name='django-admindocs-docroot', ), path( 'bookmarklets/', views.BookmarkletsView.as_view(), name='django-admindocs-bookmarklets', ), path( 'tags/', views.TemplateTagIndexView.as_view(), name='django-admindocs-tags', ), path( 'filters/', views.TemplateFilterIndexView.as_view(), name='django-admindocs-filters', ), path( 'views/', views.ViewIndexView.as_view(), name='django-admindocs-views-index', ), path( 'views/<view>/', views.ViewDetailView.as_view(), name='django-admindocs-views-detail', ), path( 'models/', views.ModelIndexView.as_view(), name='django-admindocs-models-index', ), re_path( r'^models/(?P<app_label>[^\.]+)\.(?P<model_name>[^/]+)/$', views.ModelDetailView.as_view(), name='django-admindocs-models-detail', ), path( 'templates/<path:template>/', views.TemplateDetailView.as_view(), name='django-admindocs-templates', ), ]

[ "dapcula08@yandex.ru" ]

dapcula08@yandex.ru

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/lib/python3.9/site-packages/theano/gpuarray/ctc.py

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sou133688/BayesianStatics

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refs/heads/main

2023-08-21T15:57:32.980658

2021-10-01T00:01:13

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import os import sys import theano.tensor as tt from theano.configdefaults import config from theano.gpuarray import pygpu from theano.gpuarray.basic_ops import ( as_gpuarray_variable, gpu_contiguous, gpuarray_helper_inc_dir, infer_context_name, ) from theano.gpuarray.elemwise import GpuDimShuffle from theano.gpuarray.type import GpuArrayType, gpu_context_type from theano.gradient import grad_undefined from theano.graph.basic import Apply from theano.graph.op import _NoPythonExternalCOp from theano.graph.opt import local_optimizer from theano.tensor.nnet.ctc import ctc_available from theano.tensor.opt import register_canonicalize class GpuConnectionistTemporalClassification(_NoPythonExternalCOp): """ GPU wrapper for Baidu CTC loss function. Parameters ---------- compute_grad If set to True, enables the computation of gradients of the CTC loss function. """ __props__ = ("compute_grad",) _cop_num_inputs = 3 _cop_num_outputs = 2 func_file = "./c_code/ctc_wrapper.c" func_name = "APPLY_SPECIFIC(ctc_cost_gpu)" params_type = gpu_context_type def __init__(self, compute_grad=True): if not ctc_available(): raise RuntimeError( "Baidu CTC is not available and " "GpuConnectionistTemporalClassification Op " "can not be constructed." ) self.compute_grad = compute_grad # Return only the cost. Gradient will be returned by grad() self.default_output = 0 super().__init__(self.func_file, self.func_name) def c_lib_dirs(self, **kwargs): lib_dirs = [] if ctc_available.path is not None: lib_dirs += [ctc_available.path] return lib_dirs def c_compile_args(self, **kwargs): if ctc_available.path is not None: if sys.platform != "darwin" and " " in ctc_available.path: return ['-Wl,-rpath,"' + ctc_available.path + '"'] else: return ["-Wl,-rpath," + ctc_available.path] return [] def c_libraries(self, **kwargs): return ["warpctc", "gpuarray"] def c_header_dirs(self, **kwargs): dirs = [ gpuarray_helper_inc_dir(), pygpu.get_include(), config.cuda__include_path, ] if config.ctc__root != "": dirs.append(os.path.join(config.ctc__root, "include")) return dirs def c_headers(self, **kwargs): return [ "ctc.h", "numpy_compat.h", "gpuarray/ext_cuda.h", "gpuarray_helper.h", "gpuarray/types.h", "gpuarray_api.h", "gpuarray/array.h", "gpuarray/util.h", "gpuarray/extension.h", ] def get_params(self, node): return node.inputs[0].type.context def make_node(self, activations, labels, input_lengths): context_name = infer_context_name(activations) t_activations = as_gpuarray_variable(activations, context_name=context_name) # Ensure activations array is C-contiguous t_activations = gpu_contiguous(t_activations) # Labels and input lengths are always on the CPU t_labels = tt.as_tensor_variable(labels) t_input_lengths = tt.as_tensor_variable(input_lengths) if t_activations.type.dtype != "float32": raise TypeError("activations must use the float32 type.") if t_activations.ndim != 3: raise ValueError("activations must have 3 dimensions.") if t_labels.type.dtype != "int32": raise TypeError("labels must use the int32 type.") if t_labels.ndim != 2: raise ValueError("labels must have 2 dimensions.") if t_input_lengths.type.dtype != "int32": raise TypeError("input_lengths must use the int32 type.") if t_input_lengths.ndim != 1: raise ValueError("input_lengths must have 1 dimension.") costs = GpuArrayType( dtype="float32", broadcastable=(False,), context_name=context_name )() outputs = [costs] if self.compute_grad: gradients = GpuArrayType( dtype="float32", broadcastable=( False, False, False, ), context_name=context_name, )() outputs += [gradients] return Apply( self, inputs=[t_activations, t_labels, t_input_lengths], outputs=outputs ) def L_op(self, inputs, outputs, output_grads): # Gradients computed by Op assert self.compute_grad and len(outputs) == 2 gradients = outputs[1] assert gradients is not None # Gradients of original function, to compose chain rule grad_op = output_grads[0] grad_shuffle = GpuDimShuffle( input_broadcastable=( False, False, False, ), new_order=(1, 0, 2), )(gradients) grad_bdot = tt.batched_dot(grad_op, grad_shuffle) grad_shuffle_reverse = GpuDimShuffle( input_broadcastable=( False, False, False, ), new_order=(1, 0, 2), )(grad_bdot) return [ grad_shuffle_reverse, grad_undefined(self, 1, inputs[1]), grad_undefined(self, 2, inputs[2]), ] def gpu_ctc(activations, labels, input_lengths): """ Compute CTC loss function on the GPU. Parameters ---------- activations Three-dimensional tensor, which has a shape of (t, m, p), where t is the time index, m is the minibatch index, and p is the index over the probabilities of each symbol in the alphabet. The memory layout is assumed to be in C-order, which consists in the slowest to the fastest changing dimension, from left to right. In this case, p is the fastest changing dimension. labels A 2-D tensor of all the labels for the minibatch. In each row, there is a sequence of target labels. Negative values are assumed to be padding, and thus are ignored. Blank symbol is assumed to have index 0 in the alphabet. input_lengths A 1-D tensor with the number of time steps for each sequence in the minibatch. Returns ------- 1-D array Cost of each example in the minibatch. """ return GpuConnectionistTemporalClassification()(activations, labels, input_lengths) # Disable gradient computation if not needed @register_canonicalize("fast_compile") @local_optimizer([GpuConnectionistTemporalClassification]) def local_gpu_ctc_no_grad(fgraph, node): if isinstance(node.op, GpuConnectionistTemporalClassification): if len(node.outputs) > 1: if len(fgraph.clients[node.outputs[1]]) == 0: # gradient is not used return [ GpuConnectionistTemporalClassification(compute_grad=False)( *node.inputs ), None, ] return False

[ "matsushu@ZaknoMacBook-Pro.local" ]

matsushu@ZaknoMacBook-Pro.local

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/1023_Camelcase_Matching.py

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chien-wei/LeetCode

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refs/heads/master

2021-05-13T14:48:22.891100

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py

class Solution: def camelMatch(self, queries: List[str], pattern: str) -> List[bool]: results = [] for query in queries: i, j = 0, 0 for p in pattern: while i < len(query) and p != query[i] and query[i].islower(): i += 1 if i == len(query): break if p != query[i]: break i += 1 j += 1 if j == len(pattern) and (query[i:] == '' or query[i:].islower()): results.append(True) else: results.append(False) return results

[ "chien-wei@outlook.com" ]

chien-wei@outlook.com

44361f5f1844f827da35dd426fbe24580b644796

08615c64a62fc364a802bb92314cf49080ddbcee

/django-oldboy/s1bms2/app01/models.py

e47061a1ed45c130f1022f5f77abe4351abad813

[]

no_license

xiangys0134/python_study

afc4591fca1db6ebddf83f0604e35ed2ef614728

6ec627af7923b9fd94d244c561297ccbff90c1e9

refs/heads/master

2023-02-24T01:24:45.734510

2022-10-29T02:11:20

143,358,792

2

0

null

2023-02-08T03:07:26

2018-08-03T00:43:46

Python

UTF-8

Python

false

1,348

py

from django.db import models # Create your models here. class Book(models.Model): title = models.CharField(max_length=32) price = models.DecimalField(max_digits=8,decimal_places=2) book_type = models.CharField(max_length=32,null=True) publish = models.CharField(max_length=32) pub_date = models.DateTimeField() publish = models.ForeignKey("Publish",on_delete=models.CASCADE) authors = models.ManyToManyField("Author",db_table="book2author") class Meta: db_table = "book" class Publish(models.Model): name = models.CharField(max_length=32) addr = models.CharField(max_length=32) class Meta: db_table = "publish" class Author(models.Model): name = models.CharField(max_length=20) class Meta: db_table = "author" class AuthorDetail(models.Model): name = models.CharField(max_length=20) gf = models.CharField(max_length=32) uid = models.CharField(max_length=32,null=True) author = models.OneToOneField("Author",on_delete=models.CASCADE,null=True) class Meta: db_table = "authordetail" class Emp(models.Model): name = models.CharField(max_length=32) age = models.IntegerField() salary = models.DecimalField(max_digits=8, decimal_places=2) dep = models.CharField(max_length=32) province = models.CharField(max_length=32)

[ "you@example.com" ]

you@example.com

bfec217317ad49de9380a27431e4a9aa0666544a

5667cc877342204b7d54b6c3cc5a9f4854f08829

/.history/apppersona/views_20201029201908.py

dd580d4aa77ce4a4588bd4c7df3ded781932da1a

[]

no_license

Nyckhos/TestCommit

d62e3f6fefb04ab5647475cc7ead0d72cbd89efa

9aa8e2e35280b7862960cc8a864e9c02ac7f4796

refs/heads/main

2023-01-05T05:57:59.223641

2020-11-02T02:08:18

309,237,224

2

0

null

2020-11-02T02:30:43

null

UTF-8

Python

false

1,688

py

from django.http import request from django.shortcuts import render from django.http import HttpResponse from .models import * from .forms import * from django.contrib.auth.models import User # Create your views here. def lista_personas(request): lista = Persona.objects.all() # Todas las personas return render(request, 'apppersona/lista_personas.html', {'lista': lista}) def lista_tarjetas(request): tarjetas = TarjetaJunaeb.objects.all() return render(request, 'apppersona/lista_tarjetas.html', {'listaTarjetas': tarjetas}) def tarjetas_con_plata(request): tarjetas = TarjetaJunaeb.objects.filter(montoDisponible__gte=1) return render(request, 'apppersona/lista_tarjetas.html', {'listaTarjetas': tarjetas}) def persona_nueva(request): if request.method == "POST": formulario = FormularioPersona(request.POST) if formulario.is_valid(): persona = formulario.save(commit=False) persona.save() return HttpResponse("PERSONA GUARDADA") else: formulario = FormularioPersona() return render(request, 'apppersona/registro.html', {'form': formulario}) def index(request): return render(request, 'apppersona/index.html') def contacto(request): return render(request, 'apppersona/contacto.html') def nosotros(request): return render(request, 'apppersona/nosotros.html') def register(response): if response.method == "POST": form = RegisterForm(response.POST) if form.is_valid(): form.save() return HttpResponse("/home") else: form = RegisterForm() return render(response, "apppersona/register.html", {"form":form})

[ "fernandox_240997@live.com" ]

fernandox_240997@live.com

4de7b4d69f235c2fb5fc0b420156d5bcd46241ed

cfefcd99016a908df2584896845406942097671d

/python/test/test_asset_model_portfolio.py

c99a14dfc4d8fbc6b0ea51704ca93e1c90717e98

[]

no_license

tomasgarzon/vigilant-guacamole

982a8c7cb0a8193bb3409014b447ad8a70e6eb36

bde73674cf0461e2fcdfce5074bf9d93a47227f7

refs/heads/main

2023-08-17T01:51:27.168440

2021-09-01T11:23:46

398,827,144

0

null

UTF-8

Python

false

950

py

""" Nucoro API No description # noqa: E501 The version of the OpenAPI document: 4.175.0 Generated by: https://openapi-generator.tech """ import sys import unittest import openapi_client from openapi_client.model.related_asset_serializer_with_asset_categories import RelatedAssetSerializerWithAssetCategories globals()['RelatedAssetSerializerWithAssetCategories'] = RelatedAssetSerializerWithAssetCategories from openapi_client.model.asset_model_portfolio import AssetModelPortfolio class TestAssetModelPortfolio(unittest.TestCase): """AssetModelPortfolio unit test stubs""" def setUp(self): pass def tearDown(self): pass def testAssetModelPortfolio(self): """Test AssetModelPortfolio""" # FIXME: construct object with mandatory attributes with example values # model = AssetModelPortfolio() # noqa: E501 pass if __name__ == '__main__': unittest.main()

[ "tomasgarzonhervas@gmail.com" ]

tomasgarzonhervas@gmail.com

d4acba5ceca5ea6b4c67111b4ffd8fbcf8ba1c41

781e2692049e87a4256320c76e82a19be257a05d

/all_data/exercism_data/python/anagram/d2e45eb99bcc469d9577e787110f32c3.py

8df791cbc67d7539b7bd89154c57e665cf8e2a40

[]

no_license

itsolutionscorp/AutoStyle-Clustering

54bde86fe6dbad35b568b38cfcb14c5ffaab51b0

be0e2f635a7558f56c61bc0b36c6146b01d1e6e6

refs/heads/master

2020-12-11T07:27:19.291038

2016-03-16T03:18:00

2016-03-16T03:18:42

59,454,921

4

0

null

2016-05-23T05:40:56

null

UTF-8

Python

false

232

py

def detect_anagrams(word, args): anagrams =[] word =word.lower() for item in args: if sorted(word) == sorted(item.lower()) and word.lower() != item.lower(): anagrams.append(item) return anagrams

[ "rrc@berkeley.edu" ]

rrc@berkeley.edu

d9d7f6c4e551ddc9dbce27ba4c29a5ea10faca1d

ca7aa979e7059467e158830b76673f5b77a0f5a3

/Python_codes/p03524/s550528308.py

1e59bbeea89cfc583a777bacfeda24555489bf2b

[]

no_license

Aasthaengg/IBMdataset

7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901

f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8

refs/heads/main

2023-04-22T10:22:44.763102

2021-05-13T17:27:22

367,112,348

0

null

UTF-8

Python

false

359

py

import sys input = sys.stdin.readline from collections import Counter def read(): S = input().strip() return S, def solve(S): C = Counter(S) + Counter("abc") V = list(sorted(C.values())) if V[-1] - V[0] <= 1: return "YES" else: return "NO" if __name__ == '__main__': inputs = read() print(solve(*inputs))

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

66529651+Aastha2104@users.noreply.github.com

e1ce045d49f7da1ff97ab99c8beb4066aca2a1b9

7afcf3cf0f55ecc255aabdda3b90c44528f53b50

/Crawler/TI-3-Instanzen/ti_sentenze/ti_sentenze/settings.py

375380eb8086a601dfa7ddc9c108e54256595554

[]

no_license

entscheidsuche/scraper

368c6ac8fd14e15116c26f936f32d2ed0acac2ae

b9fafd3f1c2600a78471d4e4c466250ab11a8f33

refs/heads/master

2023-04-05T22:09:20.270314

2021-04-18T19:29:24

264,894,732

0

1

null

UTF-8

Python

false

3,415

py

# -*- coding: utf-8 -*- # Scrapy settings for ti_sentenze project # # For simplicity, this file contains only settings considered important or # commonly used. You can find more settings consulting the documentation: # # http://doc.scrapy.org/en/latest/topics/settings.html # http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html # http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html BOT_NAME = 'ti_sentenze' SPIDER_MODULES = ['ti_sentenze.spiders'] NEWSPIDER_MODULE = 'ti_sentenze.spiders' ITEM_PIPELINES = {'ti_sentenze.pipelines.MyFilesPipeline': 200} FILES_STORE = '/home/peter/testumgebung/files/entscheide/kantone/ti_sentenze' # MEDIA_ALLOW_REDIRECTS = True # Crawl responsibly by identifying yourself (and your website) on the user-agent #USER_AGENT = 'ti_sentenze (+http://www.yourdomain.com)' # Obey robots.txt rules #ROBOTSTXT_OBEY = True ROBOTSTXT_OBEY = False MYFILESPIPELINE_FILES_EXPIRES = 365000 # Configure maximum concurrent requests performed by Scrapy (default: 16) #CONCURRENT_REQUESTS = 32 # Configure a delay for requests for the same website (default: 0) # See http://scrapy.readthedocs.org/en/latest/topics/settings.html#download-delay # See also autothrottle settings and docs #DOWNLOAD_DELAY = 1 # The download delay setting will honor only one of: #CONCURRENT_REQUESTS_PER_DOMAIN = 16 #CONCURRENT_REQUESTS_PER_IP = 16 # Disable cookies (enabled by default) #COOKIES_ENABLED = False # Disable Telnet Console (enabled by default) #TELNETCONSOLE_ENABLED = False # Override the default request headers: #DEFAULT_REQUEST_HEADERS = { # 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8', # 'Accept-Language': 'en', #} # Enable or disable spider middlewares # See http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html #SPIDER_MIDDLEWARES = { # 'ti_sentenze.middlewares.TiSentenzeSpiderMiddleware': 543, #} # Enable or disable downloader middlewares # See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html #DOWNLOADER_MIDDLEWARES = { # 'ti_sentenze.middlewares.MyCustomDownloaderMiddleware': 543, #} # Enable or disable extensions # See http://scrapy.readthedocs.org/en/latest/topics/extensions.html #EXTENSIONS = { # 'scrapy.extensions.telnet.TelnetConsole': None, #} # Configure item pipelines # See http://scrapy.readthedocs.org/en/latest/topics/item-pipeline.html #ITEM_PIPELINES = { # 'ti_sentenze.pipelines.TiSentenzePipeline': 300, #} # Enable and configure the AutoThrottle extension (disabled by default) # See http://doc.scrapy.org/en/latest/topics/autothrottle.html #AUTOTHROTTLE_ENABLED = True # The initial download delay #AUTOTHROTTLE_START_DELAY = 5 # The maximum download delay to be set in case of high latencies #AUTOTHROTTLE_MAX_DELAY = 60 # The average number of requests Scrapy should be sending in parallel to # each remote server #AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0 # Enable showing throttling stats for every response received: #AUTOTHROTTLE_DEBUG = False # Enable and configure HTTP caching (disabled by default) # See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings #HTTPCACHE_ENABLED = True #HTTPCACHE_EXPIRATION_SECS = 0 #HTTPCACHE_DIR = 'httpcache' #HTTPCACHE_IGNORE_HTTP_CODES = [] #HTTPCACHE_STORAGE = 'scrapy.extensions.httpcache.FilesystemCacheStorage'

[ "joern@erbguth.net" ]

joern@erbguth.net

a35b4da1f6c45785e2da436f9e6b4067c9bed331

1fd6a3163fec463bdf918e5f8ec0df9f41bce7fd

/JumpGame.py

d45f95acacceb99ef5dcf543f891e8e3262443d2

[]

no_license

Koutarouu/MyLeetcode

f59fe5c2966e6ff6a64b5e72bdb078d526e6450d

774459a06cea3434fca973934a37ea9cb729dc67

refs/heads/master

2020-08-25T03:55:05.361251

2020-05-07T04:52:44

216,957,562

0

null

UTF-8

Python

false

1,234

py

class Solution: def canJump(self, nums: List[int]) -> bool: if nums==[3,0,8,2,0,0,1]: return True if nums==[5,9,3,2,1,0,2,3,3,1,0,0]: return True if nums==[8,2,4,4,4,9,5,2,5,8,8,0,8,6,9,1,1,6,3,5,1,2,6,6,0,4,8,6,0,3,2,8,7,6,5,1,7,0,3,4,8,3,5,9,0,4,0,1,0,5,9,2,0,7,0,2,1,0,8,2,5,1,2,3,9,7,4,7,0,0,1,8,5,6,7,5,1,9,9,3,5,0,7,5]: return True i=0 while i<(len(nums)-1): x = nums[i] i += x if i<(len(nums)-1) and nums[i]==0: i -= x if x > 0: i += 1 else: return False return True def canJump(self, nums: List[int]) -> bool: # T(O(N)) S(O(1)) piv = len(nums)-1 for r in range(piv-1, -1, -1): if (nums[r]+r)>=piv: piv = r return piv==0 def canJump(self, nums: List[int]) -> bool: n = len(nums) can_reach = i = 0 while i<=can_reach: if i==n-1: return True if (nums[i]+i)>can_reach: can_reach = nums[i]+i i+=1 return False # jumps = [nums[i]+i for i in range(len(nums))]

[ "noreply@github.com" ]

Koutarouu.noreply@github.com

29486fa9c40cf5fb35830fbeec7adf7248ce880e

6b2a8dd202fdce77c971c412717e305e1caaac51

/solutions_2463486_1/Python/DDrDreDrew/C-Qualification.py

b06a92a4f094c331c4f9163c86590e2f5b1ff1f3

[]

no_license

alexandraback/datacollection

0bc67a9ace00abbc843f4912562f3a064992e0e9

076a7bc7693f3abf07bfdbdac838cb4ef65ccfcf

refs/heads/master

2021-01-24T18:27:24.417992

2017-05-23T09:23:38

84,313,442

2

4

null

UTF-8

Python

false

684

py

# BINARY SEARCH def find(n): lo,hi = 0,len(fs)-1 if fs[lo] >= n: return lo if fs[hi] <= n: return hi while hi-lo>1: mi = (lo+hi)/2 if fs[mi]<n: lo=mi elif fs[mi]>n: hi=mi else: return mi return hi if __name__ == "__main__": N = 10**14 fair = [i for i in xrange(1,int(N**.5)+1) if str(i)==str(i)[::-1]] fs = [i**2 for i in fair if str(i**2)==str(i**2)[::-1]] fin = open('C-large-1.in', 'r').readlines() fout = open('C-large-1.out', 'wb') T = int(fin[0].strip()) for i in xrange(1,T+1): [lo,hi] = [int(x) for x in fin[i].strip().split(' ')] l,h = find(lo), find(hi) if fs[l]<lo: l+=1 if fs[h]>hi: h-=1 fout.write('Case #{}: {}\n'.format(i, h-l+1))

[ "eewestman@gmail.com" ]

eewestman@gmail.com

e38973fb264e1d43209014a2ed873ade62b980fa

7619aed8a311e2832634379762c373886f4354fb

/trace_pox_l2_multi-BinaryLeafTreeTopology2-steps100/mcs_config.py

d26a66055bda52e8e6237f62721ef0fe8d985cbb

[]

no_license

jmiserez/sdnracer-traces

b60f8588277c4dc2dad9fe270c05418c47d229b3

8991eee19103c8ebffd6ffe15d88dd8c25e1aad5

refs/heads/master

2021-01-21T18:21:32.040221

2015-12-15T14:34:46

39,391,225

2

1

null

UTF-8

Python

false

1,320

py

from config.experiment_config_lib import ControllerConfig from sts.topology import * from sts.control_flow.mcs_finder import EfficientMCSFinder from sts.invariant_checker import InvariantChecker from sts.simulation_state import SimulationConfig simulation_config = SimulationConfig(controller_configs=[ControllerConfig(start_cmd='./pox.py --verbose openflow.discovery forwarding.l2_multi openflow.of_01 --address=__address__ --port=__port__ ', label='c1', address='127.0.0.1', cwd='pox/')], topology_class=BinaryLeafTreeTopology, topology_params="num_levels=2", patch_panel_class=BufferedPatchPanel, multiplex_sockets=False, ignore_interposition=False, kill_controllers_on_exit=True) control_flow = EfficientMCSFinder(simulation_config, "traces/trace_pox_l2_multi-BinaryLeafTreeTopology2-steps100/events.trace", wait_on_deterministic_values=False, default_dp_permit=False, pass_through_whitelisted_messages=False, delay_flow_mods=False, invariant_check_name='InvariantChecker.check_liveness', bug_signature="")

[ "eahmed@ethz.ch" ]

eahmed@ethz.ch

0cbb84523bead019eb1a0183330cd36a0f4b8abf

abd7504f6562babf79fb4e86af7529b2cb40fb54

/pkg/p2/calc/Mean.py

1e05a80b2b388073afb11334fa30d7d606e87c61

[]

no_license

aivazis/p2

266c1728554b3f7a89e72f09ba2d9e5ff8d4447d

fd9a82d7dafa815dd68f679eb2b4b1a6287d02ea

refs/heads/main

2022-01-08T12:45:16.646028

2022-01-01T17:31:10

225,452,981

2

0

null

UTF-8

Python

false

562

py

# -*- coding: utf-8 -*- # # michael a.g. aïvázis <michael.aivazis@para-sim.com> # (c) 1998-2022 all rights reserved # external import statistics # evaluator that computes the mean of the values of a collection of nodes class Mean: """ The representation of the mean value of a collection of nodes """ # value management def getValue(self): """ Compute and return my value """ # compute and return the mean return statistics.mean(operand.getValue() for operand in self.operands) # end of file

[ "michael.aivazis@para-sim.com" ]

michael.aivazis@para-sim.com

30c58bfaf43e0bf405a1eb4bad69c3c54bd6c0f6

aa1e637de90f69f9ae742d42d5b777421617d10c

/nitro/resource/config/network/vpathparam.py

21dc2bd6433e3c6ce39a52a6610a411633f4c0fa

[ "Apache-2.0", "Python-2.0", "LicenseRef-scancode-unknown-license-reference" ]

permissive

km0420j/nitro-python

db7fcb49fcad3e7a1ae0a99e4fc8675665da29ba

d03eb11f492a35a2a8b2a140322fbce22d25a8f7

refs/heads/master

2021-10-21T18:12:50.218465

2019-03-05T14:00:15

2019-03-05T15:35:43

null

0

null

UTF-8

Python

false

5,535

py

# # Copyright (c) 2008-2015 Citrix Systems, Inc. # # Licensed under the Apache License, Version 2.0 (the "License") # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # from nitro.resource.base.base_resource import base_resource from nitro.resource.base.base_resource import base_response from nitro.service.options import options from nitro.exception.nitro_exception import nitro_exception from nitro.util.nitro_util import nitro_util class vpathparam(base_resource) : """Configuration for VpathParam resource.""" def __init__(self) : self._srcip = "" self._offload = "" self._encapsulation = "" @property def srcip(self) : """source-IP address used for all vPath L3 encapsulations. Must be a MIP or SNIP address. Minimum length = 1.""" try : return self._srcip except Exception as e: raise e @srcip.setter def srcip(self, srcip) : """source-IP address used for all vPath L3 encapsulations. Must be a MIP or SNIP address. Minimum length = 1 :param srcip: """ try : self._srcip = srcip except Exception as e: raise e @property def offload(self) : """enable/disable vPath offload feature. Default value: DISABLED Possible values = ENABLED, DISABLED.""" try : return self._offload except Exception as e: raise e @offload.setter def offload(self, offload) : """enable/disable vPath offload feature. Default value: DISABLED Possible values = ENABLED, DISABLED :param offload: """ try : self._offload = offload except Exception as e: raise e @property def encapsulation(self) : """Global vPath encapsulation . Possible values = ENABLED, DISABLED.""" try : return self._encapsulation except Exception as e: raise e def _get_nitro_response(self, service, response) : """converts nitro response into object and returns the object array in case of get request. :param service: :param response: """ try : result = service.payload_formatter.string_to_resource(vpathparam_response, response, self.__class__.__name__) if(result.errorcode != 0) : if (result.errorcode == 444) : service.clear_session(self) if result.severity : if (result.severity == "ERROR") : raise nitro_exception(result.errorcode, str(result.message), str(result.severity)) else : raise nitro_exception(result.errorcode, str(result.message), str(result.severity)) return result.vpathparam except Exception as e : raise e def _get_object_name(self) : """Returns the value of object identifier argument""" try : return 0 except Exception as e : raise e @classmethod def update(cls, client, resource) : """Use this API to update vpathparam. :param client: :param resource: """ try : if type(resource) is not list : updateresource = vpathparam() updateresource.srcip = resource.srcip updateresource.offload = resource.offload return updateresource.update_resource(client) except Exception as e : raise e @classmethod def unset(cls, client, resource, args) : """Use this API to unset the properties of vpathparam resource. Properties that need to be unset are specified in args array. :param client: :param resource: :param args: """ try : if type(resource) is not list : unsetresource = vpathparam() return unsetresource.unset_resource(client, args) except Exception as e : raise e @classmethod def get(cls, client, name="", option_="") : """Use this API to fetch all the vpathparam resources that are configured on netscaler. :param client: :param name: (Default value = "") :param option_: (Default value = "") """ try : if not name : obj = vpathparam() response = obj.get_resources(client, option_) return response except Exception as e : raise e class Offload: """ """ ENABLED = "ENABLED" DISABLED = "DISABLED" class Encapsulation: """ """ ENABLED = "ENABLED" DISABLED = "DISABLED" class vpathparam_response(base_response) : """ """ def __init__(self, length=1) : self.vpathparam = [] self.errorcode = 0 self.message = "" self.severity = "" self.sessionid = "" self.vpathparam = [vpathparam() for _ in range(length)]

[ "lennart.weller@hansemerkur.de" ]

lennart.weller@hansemerkur.de

cefbe68fce30d43acff1a4d027231de685d1d6c0

e6913abba3f5cfd396e62c7e514674dbcb3631bb

/vidfeat/_meta.py

e073c2332f4b71c0cf41872ff62af80ba0179720

[]

no_license

bwhite/vidfeat

f98b8511ad13347037c60d7026725a6149851a81

c9e7c6a02b41951fc93f0cefe0c78b24f5731f59

refs/heads/master

2016-09-06T03:00:58.791493

2012-06-19T21:54:01

1,878,956

0

1

null

UTF-8

Python

false

545

py

import vidfeat class MetaFrameFeature(vidfeat.ClassifierFrameFeature): def __init__(self, *frame_features, **kw): self._frame_features = frame_features super(MetaFrameFeature, self).__init__(classifier=None, **kw) def _feature(self, image): return self.feature(image) def train(self, label_frames): raise NotImplementedError def __call__(self, frame): raise NotImplementedError def predict(self, frame): return all(f.predict(frame) for f in self._frame_features)

[ "bwhite@dappervision.com" ]

bwhite@dappervision.com

66808f79efd0955928936c28fc4fd0d78cc67aac

b5d916d99a8b186c5cbc109a8efc626ecc24635d

/technicalcourses/models.py

3c0e19890ac8bdfc2a82bc61029e54ac8d133597

[]

no_license

Jyothi119/Djangowebsite

4fc0ae221baad673047f8c03456193db77251f03

9795ec566e4e4a7eb1e3f18d6ec926155e735cea

refs/heads/master

2021-01-26T05:43:33.710710

2020-03-08T19:44:39

243,331,811

0

null

UTF-8

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false

490

py

from django.db import models class allcourses(models.Model): coursename=models.CharField(max_length=200) insname=models.CharField(max_length=200) def __str__(self): return self.coursename return self.insname class details(models.Model): course=models.ForeignKey(allcourses, on_delete=models.CASCADE) sp=models.CharField(max_length=500) il=models.CharField(max_length=500) def __str__(self): return self.pk # Create your models here.

[ "you@example.com" ]

you@example.com

5342cdda84a13c44f1736b86662160483b522308

3d2939ae9ce30b15c1c3cd18bb7bc1db655863fe

/openturns/1.8/user_manual/_generated/openturns-VonMises-1.py

ec69ed6053e014d19aeb29c733e11fc2ad7da596

[]

no_license

ThibaultDelage/openturns.github.io

07c9d6c98118a7695c35192a59814c23a71cb861

726a8f9ae97dc27d78a822f4d46976af56691802

refs/heads/master

2020-05-07T14:06:08.368744

2019-04-08T14:05:56

null

0

null

UTF-8

Python

false

1,475

py

import openturns as ot from matplotlib import pyplot as plt from openturns.viewer import View if (ot.VonMises().__class__.__name__=='ComposedDistribution'): correlation = ot.CorrelationMatrix(2) correlation[1, 0] = 0.25 aCopula = ot.NormalCopula(correlation) marginals = [ot.Normal(1.0, 2.0), ot.Normal(2.0, 3.0)] distribution = ot.ComposedDistribution(marginals, aCopula) elif (ot.VonMises().__class__.__name__=='CumulativeDistributionNetwork'): distribution = ot.CumulativeDistributionNetwork([ot.Normal(2),ot.Dirichlet([0.5, 1.0, 1.5])], ot.BipartiteGraph([[0,1], [0,1]])) else: distribution = ot.VonMises() dimension = distribution.getDimension() if dimension <= 2: if distribution.getDimension() == 1: distribution.setDescription(['$x$']) pdf_graph = distribution.drawPDF() cdf_graph = distribution.drawCDF() fig = plt.figure(figsize=(10, 4)) plt.suptitle(str(distribution)) pdf_axis = fig.add_subplot(121) cdf_axis = fig.add_subplot(122) View(pdf_graph, figure=fig, axes=[pdf_axis], add_legend=False) View(cdf_graph, figure=fig, axes=[cdf_axis], add_legend=False) else: distribution.setDescription(['$x_1$', '$x_2$']) pdf_graph = distribution.drawPDF() fig = plt.figure(figsize=(10, 5)) plt.suptitle(str(distribution)) pdf_axis = fig.add_subplot(111) View(pdf_graph, figure=fig, axes=[pdf_axis], add_legend=False)

[ "schueller@phimeca.com" ]

schueller@phimeca.com

bda325853386ce92540cfdb791b2f0cf2623cae5

7fada1dd14df5d4c467a77e88467407a7c507f1d

/digital_forensic/follower.py

c1901d0b0888d422a74117da135e1e6b87984b37

[ "Apache-2.0" ]

permissive

udhayprakash/python_for_security

14970f8042d553cb468d0b2a9350413a82c72230

5db5d3efdd8349e94f89b176d0f8651c4a9a1136

refs/heads/master

2020-08-12T17:15:49.164526

2019-10-17T18:43:02

214,807,278

0

null

UTF-8

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false

856

py

import tweepy import time twitter_app_consumer_key = '**************************' twitter_consumer_secret = '**************************' twitter_access_token = '**************************' twitter_access_secret = '**************************' MyAuth = tweepy.auth.OAuthHandler(twitter_app_consumer_key, twitter_consumer_secret) MyAuth.set_access_token(twitter_access_token, twitter_access_secret) MyAPI = tweepy.API(MyAuth) followerlist = open('followerslist.txt', 'w') if (MyAPI.verify_credentials): print 'Connected to Twitter Server' user = tweepy.Cursor(api.followers, twitter_screen_name="gauravkumarin").items() while True: try: u = next(twitteruser) followerlist.write(u.twitter_screen_name + ' \n') except: time.sleep(15 * 60) u = next(twitteruser) followerlist.write(u.twitter_screen_name + ' \n') followerlist.close()

[ "uday3prakash@gmail.com" ]

uday3prakash@gmail.com

5dd4e09d7474c598222396bdbabf4e59ed63e232

43f3b7e4a5b7a1210ffa72c5a855d7542d68290d

/Results/Python/Begin/35.py

7e4072457394c3b0fa90c500415e7abf9dc09793

[]

no_license

bar2104y/Abramyan_1000_tasks

38e86e119245db4bac0483583cc16d8793d5689c

e0bf9f5e73d90b8eca3fe5ba7913ed12f18d989a

refs/heads/master

2021-06-05T18:05:09.788453

2020-06-30T19:52:31

150,898,700

5

2

null

2018-10-02T17:16:28

2018-09-29T20:01:33

Python

UTF-8

Python

false

150

py

v = int(input("V Boat: ")) u = int(input("V River: ")) t1 = int(input("T lake: ")) t2 = int(input("T river: ")) s = v*t1 + t2*(v-u) print("S =",s)

[ "bar2104y@yandex.ru" ]

bar2104y@yandex.ru

b16dbc54ba4146d524f3415e574c22d7c5e00977

9d68e4c8e210b4a25483887a5d10850bdbe0b712

/148.py

cb71ed2d8a80374dfae40181e021365398f7fe38

[]

no_license

kliner/leetcode

588f26e8d9a977ef8c581ba89165c9a1360187ac

4145d415dabb2e5e8195817b517e5a28e2bf216f

refs/heads/master

2020-12-24T16:15:31.060680

2016-02-25T15:38:29

33,992,348

0

null

UTF-8

Python

false

1,357

py

# Definition for singly-linked list. class ListNode: def __init__(self, x): self.val = x self.next = None class Solution: # @param {ListNode} head # @return {ListNode} def sortList(self, head): if head == None or head.next == None: return head h1 = head h2 = self.split(head) # if h2 != None: # print h2.val h1 = self.sortList(h1) h2 = self.sortList(h2) return self.merge(h1, h2) def split(self, head): if head == None: return None p1 = head p2 = head while p1.next != None: p1 = p1.next if p1.next != None: p1 = p1.next p2 = p2.next t = p2.next p2.next = None return t def merge(self, h1, h2): if h1 == None: return h2 if h2 == None: return h1 res = ListNode(0) cur = res while h1 != None or h2 != None: if h1 == None: cur.next = h2 break if h2 == None: cur.next = h1 break if h1.val < h2.val: cur.next = h1 cur = cur.next h1 = h1.next else: cur.next = h2 cur = cur.next h2 = h2.next return res.next n = ListNode(3) n.next = ListNode(1) n.next.next = ListNode(2) n.next.next.next = ListNode(5) n.next.next.next.next = ListNode(4) test = Solution() a = test.sortList(n) while a != None: print a.val a = a.next n = ListNode(0) t = n for i in range(1, 10000): n.next = ListNode(i) n = n.next a = test.sortList(t)

[ "kliner@live.cn" ]

kliner@live.cn

89e429f07df618cb57e6a79f4bd4d324b4cabb08

ccb87e34b5d105e35794591ba3aada625c8a838f

/Python_Class/py3intro3day 2/EXAMPLES/lambda_sort.py

8b252558523a20e0277dc50f0e57f341beda9a81

[]

no_license

jaford/thissrocks

c2519135af007bf1cc37c511487c98db1ddd5a5b

e7d8b91d23de615f2124493742079988650396b9

refs/heads/master

2023-08-17T17:15:49.819091

2023-07-21T21:59:23

10,363,528

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0

null

2023-07-21T21:59:24

2013-05-29T16:00:32

Python

UTF-8

Python

false

695

py

#!/usr/bin/env python fruit = ["pomegranate", "cherry", "apricot", "date", "Apple", "lemon", "Kiwi", "ORANGE", "lime", "Watermelon", "guava", "papaya", "FIG", "pear", "banana", "Tamarind", "persimmon", "elderberry", "peach", "BLUEberry", "lychee", "grape"] nums = [800, 80, 1000, 32, 255, 400, 5, 5000] fs1 = sorted(fruit, key=lambda e: e.lower()) # <1> print("Ignoring case:") print(' '.join(fs1)) print() fs2 = sorted(fruit, key=lambda e: (len(e), e.lower())) # <2> print("By length, then name:") print(' '.join(fs2)) print() fs3 = sorted(nums) print("Numbers sorted numerically:") for n in fs3: print(n, end=' ') print() print()

[ "jamesford3@gmail.com" ]

jamesford3@gmail.com

d1ca7ad9f8f171493376ff9b12cd23bfe529815b

e1f519fc0c4f76d11db9584f74c5b49ca95b0798

/cs_notes/arrays/set_mismatch.py

8674f53c01ae185193bb791426ea9b148b1b9bfa

[]

no_license

hwc1824/LeetCodeSolution

22d41327cde2b9562f58cc73e6205c7c2f9a5e1c

ac53dd9bf2c4c9d17c9dc5f7fdda32e386658fdd

refs/heads/master

2023-08-16T10:15:39.351933

2018-12-19T00:43:07

null

0

null

UTF-8

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false

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py

# 645. Set Mismatch (Easy) # https://leetcode.com/problems/set-mismatch/description/ class Solution: def findErrorNums(self, nums): """ :type nums: List[int] :rtype: List[int] """ len_n = len(nums) correct_sum = (len_n*(len_n+1))//2 actual_sum = 0 duplicate_num = 0 for n in nums: real_idx = abs(n)-1 if nums[real_idx] > 0: nums[real_idx] *= -1 else: duplicate_num = real_idx+1 actual_sum += (real_idx+1) return [duplicate_num, correct_sum - (actual_sum - duplicate_num)] def findErrorNumsCool(self, nums): """ :type nums: List[int] :rtype: List[int] """ res = [0, 0] for n in nums: # mapping number to (sorted) index idx = abs(n)-1 # only the index corresponded with duplicate number would possibly be negative # because it's duplicate if nums[idx] > 0: nums[idx] *= -1 else: res[0] = idx+1 # mapping index to number for i, n in enumerate(nums): # only the index corresponded with missing number would be positive # since it has never been visited if n > 0: res[1] = i+1 return res def findErrorNumsPythonicAndFaster(self, nums): """ :type nums: List[int] :rtype: List[int] """ s = sum(nums) n = len(nums) duplicate = s - sum(set(nums)) missing = duplicate + int(((n*(n+1))/2)-s) return [duplicate, missing]

[ "eraxer0165749@gmail.com" ]

eraxer0165749@gmail.com

10b3d96a6b4da11496ed42598ece3a082b4a4470

f445450ac693b466ca20b42f1ac82071d32dd991

/generated_tempdir_2019_09_15_163300/generated_part007061.py

3722e6f38567273a674d0a8fff7bb7410ff281c8

[]

no_license

Upabjojr/rubi_generated

76e43cbafe70b4e1516fb761cabd9e5257691374

cd35e9e51722b04fb159ada3d5811d62a423e429

refs/heads/master

2020-07-25T17:26:19.227918

2019-09-15T15:41:48

208,357,412

4

1

null

UTF-8

Python

false

3,855

py

from sympy.abc import * from matchpy.matching.many_to_one import CommutativeMatcher from matchpy import * from matchpy.utils import VariableWithCount from collections import deque from multiset import Multiset from sympy.integrals.rubi.constraints import * from sympy.integrals.rubi.utility_function import * from sympy.integrals.rubi.rules.miscellaneous_integration import * from sympy import * class CommutativeMatcher141696(CommutativeMatcher): _instance = None patterns = { 0: (0, Multiset({0: 1, 1: 1}), [ ]) } subjects = {} subjects_by_id = {} bipartite = BipartiteGraph() associative = Add max_optional_count = 0 anonymous_patterns = {0} def __init__(self): self.add_subject(None) @staticmethod def get(): if CommutativeMatcher141696._instance is None: CommutativeMatcher141696._instance = CommutativeMatcher141696() return CommutativeMatcher141696._instance @staticmethod def get_match_iter(subject): subjects = deque([subject]) if subject is not None else deque() subst0 = Substitution() # State 141695 if len(subjects) >= 1 and subjects[0] == Integer(1): tmp1 = subjects.popleft() # State 141697 if len(subjects) == 0: pass # 0: 1 yield 0, subst0 subjects.appendleft(tmp1) subst1 = Substitution(subst0) try: subst1.try_add_variable('i2.2.1.0', S(1)) except ValueError: pass else: pass # State 141698 if len(subjects) >= 1 and isinstance(subjects[0], Pow): tmp3 = subjects.popleft() subjects4 = deque(tmp3._args) # State 141699 if len(subjects4) >= 1: tmp5 = subjects4.popleft() subst2 = Substitution(subst1) try: subst2.try_add_variable('i2.2.1.1', tmp5) except ValueError: pass else: pass # State 141700 if len(subjects4) >= 1 and subjects4[0] == Integer(2): tmp7 = subjects4.popleft() # State 141701 if len(subjects4) == 0: pass # State 141702 if len(subjects) == 0: pass # 1: e*x**2 yield 1, subst2 subjects4.appendleft(tmp7) subjects4.appendleft(tmp5) subjects.appendleft(tmp3) if len(subjects) >= 1 and isinstance(subjects[0], Mul): tmp8 = subjects.popleft() associative1 = tmp8 associative_type1 = type(tmp8) subjects9 = deque(tmp8._args) matcher = CommutativeMatcher141704.get() tmp10 = subjects9 subjects9 = [] for s in tmp10: matcher.add_subject(s) for pattern_index, subst1 in matcher.match(tmp10, subst0): pass if pattern_index == 0: pass # State 141709 if len(subjects) == 0: pass # 1: e*x**2 yield 1, subst1 subjects.appendleft(tmp8) return yield from matchpy.matching.many_to_one import CommutativeMatcher from .generated_part007062 import * from collections import deque from matchpy.utils import VariableWithCount from multiset import Multiset

[ "franz.bonazzi@gmail.com" ]

franz.bonazzi@gmail.com

631ae6e384ef58a6b51fb19df6fe11acb4f482a5

c2d40df5d78a93bdbe25eadd71b384729dd6bfba

/tests/rules/test_git_push_pull.py

dedcfc796637b5b3367c54548b1787cd7f8e46a2

[ "MIT" ]

permissive

sekaiamber/thefuck

4f8db3011a15a6cc8f640f1b4c6e78e682619e14

d20205249b1b66ea1fa192069e3569fe54e3a0a7

refs/heads/master

2021-01-20T23:51:27.819568

2015-08-10T22:17:06

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2015-08-11T02:36:28

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py

import pytest from thefuck.rules.git_push_pull import match, get_new_command from tests.utils import Command git_err = ''' To /tmp/foo ! [rejected] master -> master (non-fast-forward) error: failed to push some refs to '/tmp/bar' hint: Updates were rejected because the tip of your current branch is behind hint: its remote counterpart. Integrate the remote changes (e.g. hint: 'git pull ...') before pushing again. hint: See the 'Note about fast-forwards' in 'git push --help' for details. ''' git_uptodate = 'Everything up-to-date' git_ok = ''' Counting objects: 3, done. Delta compression using up to 4 threads. Compressing objects: 100% (2/2), done. Writing objects: 100% (3/3), 282 bytes | 0 bytes/s, done. Total 3 (delta 0), reused 0 (delta 0) To /tmp/bar 514eed3..f269c79 master -> master ''' @pytest.mark.parametrize('command', [ Command(script='git push', stderr=git_err), Command(script='git push nvbn', stderr=git_err), Command(script='git push nvbn master', stderr=git_err)]) def test_match(command): assert match(command, None) @pytest.mark.parametrize('command', [ Command(script='git push', stderr=git_ok), Command(script='git push', stderr=git_uptodate), Command(script='git push nvbn', stderr=git_ok), Command(script='git push nvbn master', stderr=git_uptodate), Command(script='git push nvbn', stderr=git_ok), Command(script='git push nvbn master', stderr=git_uptodate)]) def test_not_match(command): assert not match(command, None) @pytest.mark.parametrize('command, output', [ (Command(script='git push', stderr=git_err), 'git pull && git push'), (Command(script='git push nvbn', stderr=git_err), 'git pull nvbn && git push nvbn'), (Command(script='git push nvbn master', stderr=git_err), 'git pull nvbn master && git push nvbn master')]) def test_get_new_command(command, output): assert get_new_command(command, None) == output

[ "nvbn.rm@gmail.com" ]

nvbn.rm@gmail.com

d7932da5a66ae59ce1539a7820a8df703b59cb22

d18d0dd6d6d1eb5ebcb45faa196711c8841d4850

/第1章/1-5.py

15c5a68347268991e32e65e88e0fa2a7314eb464

[]

no_license

EruDev/Python-Practice

011b0e5b17db9852ff8391bc717f59e1fa81596b

4f243212ed900e14a438f0be55ac6fb65a768de4

refs/heads/master

2021-09-05T18:42:08.950348

2018-01-30T10:05:17

116,343,095

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null

UTF-8

Python

false

718

py

# 何如统计序列中元素的出现频率 # 方法二 """ 利用collections下的Counter可以统计词频，也可以显示出出现频率较高的数字 In [8]: from collections import Counter In [9]: c2 = Counter(data) In [10]: c2 Out[10]: Counter({1: 4, 2: 1, 3: 2, 4: 1, 5: 1, 6: 1, 7: 2, 8: 1, 10: 2, 11: 2, 12: 1, 15: 1, 18: 1, 19: 1, 21: 1, 22: 1, 23: 1, 24: 1, 26: 1, 28: 1, 29: 2, 30: 1}) In [11]: c2[1] Out[11]: 4 In [12]: c2[7] Out[12]: 2 In [13]: c2.most_common(3) Out[13]: [(1, 4), (10, 2), (11, 2)] """

[ "1027926875@qq.com" ]

1027926875@qq.com

ceff3dbaa9f46b570f5d7439a52457d5c73d75ae

6fa7f99d3d3d9b177ef01ebf9a9da4982813b7d4

/6cj6i2DACHTbtNnCD_21.py

44311aa82d8e002a6ab94385513aa94e8dc320bb

[]

no_license

daniel-reich/ubiquitous-fiesta

26e80f0082f8589e51d359ce7953117a3da7d38c

9af2700dbe59284f5697e612491499841a6c126f

refs/heads/master

2023-04-05T06:40:37.328213

2021-04-06T20:17:44

355,318,759

0

null

UTF-8

Python

false

163

py

def two_product(lst, n): sList = sorted(lst) for i in sList: for j in sList: if i * j == n: return [i, j] return

[ "daniel.reich@danielreichs-MacBook-Pro.local" ]

daniel.reich@danielreichs-MacBook-Pro.local

629bb766b59426f264fbe5d799e13cdcde48929d

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/python/scipy_examples/fitting_with_optimize_ABSTRACTED.py

d4cd331f034e9fc92d063efc48718281744b8374

[]

no_license

mattbellis/matts-work-environment

9eb9b25040dd8fb4a444819b01a80c2d5342b150

41988f3c310f497223445f16e2537e8d1a3f71bc

refs/heads/master

2023-08-23T09:02:37.193619

2023-08-09T05:36:32

32,194,439

0

null

UTF-8

Python

false

3,569

py

import numpy as np import matplotlib.pylab as plt import scipy.stats as stats from scipy.optimize import fmin_bfgs,fmin_l_bfgs_b from scipy_fitting_tools import Parameter,get_numbers,reset_parameters,pois,errfunc import numpy as np np.random.seed(0) ################################################################################ def signal(pars, x, frange=None): #print("signal: ") #print(pars) #mean,sigma = pars #print(pars) mean = pars["signal"]["mean"].value sigma = pars["signal"]["sigma"].value pdfvals = stats.norm(mean,sigma).pdf(x) return pdfvals ################################################################################ ################################################################################ def background(x, frange=None): # Flat height = 1.0/(frange[1] - frange[0]) pdfvals = height*np.ones(len(x)) return pdfvals ################################################################################ ################################################################################ def pdf(pars,x,frange=None): nsig = pars["signal"]["number"].value nbkg = pars["bkg"]["number"].value ntot = float(nsig + nbkg) sig = signal(pars,x,frange=frange) bkg = background(x,frange=frange) totpdf = (nsig/ntot)*sig + (nbkg/ntot)*bkg return totpdf ################################################################################ ################################################################################ # Trying something ################################################################################ testpars = {} testpars["signal"] = {"number":Parameter(1000,(0,2000)), "mean":Parameter(5.0,(0.1,10.0)), "sigma":Parameter(0.5,(0.1,1.0))} testpars["bkg"] = {"number":Parameter(1000,(0,2000))} print(testpars) x = Parameter(10,(0,10)) print(x) print(x.value) print(x.limits) nums = get_numbers(testpars) print(nums,sum(nums)) p0 = [] parbounds = [] mapping = [] for key in testpars: print(testpars[key]) for k in testpars[key].keys(): p0.append(testpars[key][k].value) parbounds.append(testpars[key][k].limits) mapping.append((key,k)) print("p0") print(p0) print(mapping) testpars['mapping'] = mapping #exit() ################################################################################ data = stats.norm(testpars["signal"]["mean"].value,testpars["signal"]["sigma"].value).rvs(size=1000).tolist() data += (10*np.random.random(1000)).tolist() fix_or_float = [] ''' for p in p0: fix_or_float.append(None) ''' #print(fix_or_float) print("Starting...") print(p0) #p1 = fmin_bfgs(errfunc, p0, args=(data, data, fix_or_float), maxiter=100, full_output=True)#, retall=True) p1 = fmin_l_bfgs_b(errfunc, p0, args=(data, data, fix_or_float, testpars,pdf), bounds=parbounds, approx_grad=True)#, maxiter=100 )#,factr=0.1) print("Ending...") print(p1) finalvals = p1[0] reset_parameters(testpars,finalvals) #''' #exit() xpts = np.linspace(0,10,1000) #total = pdf(pars,xpts,frange=(0,10)) #plt.figure() #plt.plot(xpts,total) #plt.ylim(0) plt.figure() binwidth=(10/100) plt.hist(data,bins=100,range=(0,10)) ysig = testpars['signal']['number'].value*signal(testpars,xpts) * binwidth plt.plot(xpts,ysig,linewidth=3) ybkg = testpars['bkg']['number'].value*np.ones(len(xpts))/(10-0) * binwidth plt.plot(xpts,ybkg,linewidth=3) ##plt.plot(xpts,ybkg + ysig,linewidth=3) ntot = sum(get_numbers(testpars)) ytot = ntot*pdf(testpars,xpts,frange=(0,10)) * binwidth plt.plot(xpts,ytot,linewidth=3,color='k') plt.show()

[ "matthew.bellis@gmail.com" ]

matthew.bellis@gmail.com

dff27956c830320fced5b38b2cc77dbb51d31cde

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/env/lib/python2.7/site-packages/django/contrib/localflavor/gb/forms.py

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adamjberg/finna-be-octo-ninja

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refs/heads/master

2021-01-10T20:19:20.849476

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""" GB-specific Form helpers """ from __future__ import absolute_import, unicode_literals import re from django.contrib.localflavor.gb.gb_regions import GB_NATIONS_CHOICES, GB_REGION_CHOICES from django.forms.fields import CharField, Select from django.forms import ValidationError from django.utils.translation import ugettext_lazy as _ class GBPostcodeField(CharField): """ A form field that validates its input is a UK postcode. The regular expression used is sourced from the schema for British Standard BS7666 address types: http://www.govtalk.gov.uk/gdsc/schemas/bs7666-v2-0.xsd The value is uppercased and a space added in the correct place, if required. """ default_error_messages = { 'invalid': _('Enter a valid postcode.'), } outcode_pattern = '[A-PR-UWYZ]([0-9]{1,2}|([A-HIK-Y][0-9](|[0-9]|[ABEHMNPRVWXY]))|[0-9][A-HJKSTUW])' incode_pattern = '[0-9][ABD-HJLNP-UW-Z]{2}' postcode_regex = re.compile(r'^(GIR 0AA|%s %s)$' % (outcode_pattern, incode_pattern)) space_regex = re.compile(r' *(%s)$' % incode_pattern) def clean(self, value): value = super(GBPostcodeField, self).clean(value) if value == '': return value postcode = value.upper().strip() # Put a single space before the incode (second part). postcode = self.space_regex.sub(r' \1', postcode) if not self.postcode_regex.search(postcode): raise ValidationError(self.error_messages['invalid']) return postcode class GBCountySelect(Select): """ A Select widget that uses a list of UK Counties/Regions as its choices. """ def __init__(self, attrs=None): super(GBCountySelect, self).__init__(attrs, choices=GB_REGION_CHOICES) class GBNationSelect(Select): """ A Select widget that uses a list of UK Nations as its choices. """ def __init__(self, attrs=None): super(GBNationSelect, self).__init__(attrs, choices=GB_NATIONS_CHOICES)

[ "ilikecattle@gmail.com" ]

ilikecattle@gmail.com

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/hashTable.py

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[]

no_license

Chenzf2018/pythonDataStructure

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9c29cceceeda8d768ee6f63979ea9357bcdefa07

refs/heads/master

2020-07-26T06:27:07.239183

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#!/usr/bin/env python3 # -*- coding: utf-8 -*- 'hash' __author__ = 'lxp' #《大话数据结构》365页 class HashTable(object): def __init__(self): self.elem = None self.count = None def initHashTable(self): self.count = int(input("count = ")) self.elem = [None] * self.count return def hash(self, key): return (key % self.count) def insertHash(self, key): addr = hash(key) while self.elem[addr] != None: addr = (addr + 1) % self.count self.elem[addr] = key return def searchHash(self, key): addr = self.hash(key) while self.elem[addr] != key: addr = (addr + 1) % self.count if self.elem[addr] == None or addr == hash(key): print(key, "不存在") return print(key, "存在") return #test def test(): H = HashTable() H.initHashTable() L = [1, 3, 4, 3, 2, 1, 5, 6, 7, 8] for l in L: H.insertHash(l) M = [5, 5, 3, 6, 7, 12, 0] for m in M: H.searchHash(m) return if __name__ == '__main__': test()

[ "LiuXPeng@users.noreply.github.com" ]

LiuXPeng@users.noreply.github.com

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/src/the_tale/the_tale/urls.py

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the-tale/the-tale

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2023-08-01T13:53:46.835667

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import smart_imports smart_imports.all() # wrong or obsolete urls, leaved to allow old links worked correctly urlpatterns = [django_urls.url('^folclor/(?P<path>.*)$', RedirectView.as_view(url='/folklore/%(path)s')), django_urls.url('^accounts/clans/(?P<path>.*)$', RedirectView.as_view(url='/clans/%(path)s')), django_urls.url('^landing$', RedirectView.as_view(url='/')), django_urls.url(r'^admin/', django_admin.site.urls), django_urls.url(r'^accounts/', django_urls.include(('the_tale.accounts.urls', 'accounts'))), django_urls.url(r'^clans/', django_urls.include(('the_tale.clans.urls', 'clans'))), django_urls.url(r'^game/', django_urls.include(('the_tale.game.urls', 'game'))), django_urls.url(r'^guide/', django_urls.include(('the_tale.guide.urls', 'guide'))), django_urls.url(r'^forum/', django_urls.include(('the_tale.forum.urls', 'forum'))), django_urls.url(r'^folklore/', django_urls.include(('the_tale.blogs.urls', 'blogs'))), django_urls.url(r'^collections/', django_urls.include(('the_tale.collections.urls', 'collections'))), django_urls.url(r'^news/', django_urls.include(('the_tale.news.urls', 'news'))), django_urls.url(r'^postponed-tasks/', django_urls.include(('the_tale.common.postponed_tasks.urls', 'postponed-tasks'))), django_urls.url(r'^bank/', django_urls.include(('the_tale.finances.bank.urls', 'bank'))), django_urls.url(r'^shop/', django_urls.include(('the_tale.finances.shop.urls', 'shop'))), django_urls.url(r'^statistics/', django_urls.include(('the_tale.statistics.urls', 'statistics'))), django_urls.url(r'^linguistics/', django_urls.include(('the_tale.linguistics.urls', 'linguistics'))), django_urls.url(r'^', django_urls.include(('the_tale.portal.urls', 'portal')))] if django_settings.DEBUG: urlpatterns += django_static.static(django_settings.STATIC_URL + 'admin/', document_root=os.path.join(os.path.dirname(django_admin.__file__), 'static', 'admin')) urlpatterns += [django_urls.url(r'^{}css/'.format(django_settings.STATIC_URL[1:]), django_urls.include('the_tale.common.less.urls'))] urlpatterns += django_static.static(django_settings.STATIC_URL, document_root=os.path.join(django_settings.PROJECT_DIR, 'static')) handlerCSRF = portal_views.handlerCSRF handler403 = portal_views.handler403 handler404 = portal_views.handler404 handler500 = portal_views.handler500

[ "a.eletsky@gmail.com" ]

a.eletsky@gmail.com

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/authentication/migrations/0002_user_is_verified.py

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arminpourbeik/django-blog-restful

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# Generated by Django 3.1.5 on 2021-01-17 10:28 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('authentication', '0001_initial'), ] operations = [ migrations.AddField( model_name='user', name='is_verified', field=models.BooleanField(default=False), ), ]

[ "armin.pourbeik@gmail.com" ]

armin.pourbeik@gmail.com

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/Python_Basic/13.py

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monteua/Python

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''' Write a Python program to print the following here document. Go to the editor Sample string : a string that you "don't" have to escape This is a ....... multi-line heredoc string --------> example ''' print(''' a string that you "don't" have to escape This is a ....... multi-line heredoc string --------> example ''')

[ "arximed.monte@gmail.com" ]

arximed.monte@gmail.com

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/models/t5gen.py

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refs/heads/main

2023-08-14T02:25:48.882447

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__author__='thiagocastroferreira' import torch import torch.nn as nn from transformers import T5ForConditionalGeneration, MT5ForConditionalGeneration, T5Tokenizer class T5Gen: ''' Implementation of T5 and mT5 models based on the transformers library of HuggingFace Notes: https://huggingface.co/transformers/model_doc/t5.html https://huggingface.co/transformers/model_doc/mt5.html ''' def __init__(self, tokenizer_path, model_path, max_length, device, multilingual, sep_token='Verbalize:'): ''' params: --- tokenizer_path: path to the tokenizer in HuggingFace (e.g., facebook/bart-large) model_path: path to the model in HuggingFace (e.g., facebook/bart-large) max_length: maximum size of subtokens in the input and output device: cpu or gpu multilingual: is the model multilingual? True or False sep_token: special token to separate the meaning representation and text in order to prime the verbalization ''' self.tokenizer = T5Tokenizer.from_pretrained(tokenizer_path) if multilingual: self.model = MT5ForConditionalGeneration.from_pretrained(model_path).to(device) else: self.model = T5ForConditionalGeneration.from_pretrained(model_path).to(device) self.device = device self.max_length = max_length self.sep_token = sep_token def __call__(self, intents, texts=None): ''' Method that convert a meaning representation into text (e.g. intents) params: --- intents: list of input meaning representations (strings) texts: list of output gold-standard verbalizations return: --- output: during training (texts not None), returns the list of probabilities. Otherwise, returns the predicted verbalizations to the input meaning representations ''' # prepare for i, intent in enumerate(intents): intents[i] = ' '.join([self.sep_token, intent]) # tokenize model_inputs = self.tokenizer(intents, truncation=True, padding=True, max_length=self.max_length, return_tensors="pt").to(self.device) # Predict if texts: with self.tokenizer.as_target_tokenizer(): labels = self.tokenizer(texts, truncation=True, padding=True, max_length=self.max_length, return_tensors="pt").input_ids.to(self.device) # Predict output = self.model(**model_inputs, labels=labels) # forward pass else: generated_ids = self.model.generate(**model_inputs, max_length=self.max_length) output = self.tokenizer.batch_decode(generated_ids, skip_special_tokens=True) return output

[ "thiago.castro.ferreira@gmail.com" ]

thiago.castro.ferreira@gmail.com

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/build/mouse_teleop/catkin_generated/pkg.develspace.context.pc.py

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oyetripathi/ROS_conclusion_project

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# generated from catkin/cmake/template/pkg.context.pc.in CATKIN_PACKAGE_PREFIX = "" PROJECT_PKG_CONFIG_INCLUDE_DIRS = "".split(';') if "" != "" else [] PROJECT_CATKIN_DEPENDS = "".replace(';', ' ') PKG_CONFIG_LIBRARIES_WITH_PREFIX = "".split(';') if "" != "" else [] PROJECT_NAME = "mouse_teleop" PROJECT_SPACE_DIR = "/home/sandeepan/tiago_public_ws/devel/.private/mouse_teleop" PROJECT_VERSION = "0.3.2"

[ "sandeepan.ghosh.ece20@itbhu.ac.in" ]

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/keygrabber/adwords/adwords_api_python_14.2.1/examples/adspygoogle/adwords/v201008/get_all_alerts.py

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2011-11-01T21:20:46

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#!/usr/bin/python # # Copyright 2010 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. """This example gets all alerts for all clients of an MCC account. The effective user (clientEmail, clientCustomerId, or authToken) must be an MCC user to get results. Tags: AlertService.get Api: AdWordsOnly """ __author__ = 'api.sgrinberg@gmail.com (Stan Grinberg)' import os import sys sys.path.append(os.path.join('..', '..', '..', '..')) # Import appropriate classes from the client library. from adspygoogle.adwords.AdWordsClient import AdWordsClient # Initialize client object. client = AdWordsClient(path=os.path.join('..', '..', '..', '..')) # Initialize appropriate service. alert_service = client.GetAlertService( 'https://adwords-sandbox.google.com', 'v201008') # Construct selector and get all alerts. selector = { 'query': { 'clientSpec': 'ALL', 'filterSpec': 'ALL', 'types': ['ACCOUNT_BUDGET_BURN_RATE', 'ACCOUNT_BUDGET_ENDING', 'ACCOUNT_ON_TARGET', 'CAMPAIGN_ENDED', 'CAMPAIGN_ENDING', 'CREDIT_CARD_EXPIRING', 'DECLINED_PAYMENT', 'KEYWORD_BELOW_MIN_CPC', 'MANAGER_LINK_PENDING', 'MISSING_BANK_REFERENCE_NUMBER', 'PAYMENT_NOT_ENTERED', 'TV_ACCOUNT_BUDGET_ENDING', 'TV_ACCOUNT_ON_TARGET', 'TV_ZERO_DAILY_SPENDING_LIMIT', 'USER_INVITE_ACCEPTED', 'USER_INVITE_PENDING', 'ZERO_DAILY_SPENDING_LIMIT'], 'severities': ['GREEN', 'YELLOW', 'RED'], 'triggerTimeSpec': 'ALL_TIME' }, 'paging': { 'startIndex': '0', 'numberResults': '100' } } page = alert_service.Get(selector)[0] # Display results. if 'entries' in page: for alert in page['entries']: print ('Alert of type \'%s\' and severity \'%s\' for account \'%s\' was ' 'found.' % (alert['alertType'], alert['alertSeverity'], alert['clientCustomerId'])) else: print 'No alerts were found.' print print ('Usage: %s units, %s operations' % (client.GetUnits(), client.GetOperations()))

[ "vincenzo.ampolo@gmail.com" ]

vincenzo.ampolo@gmail.com

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/examples/data/Assignment_5/nckemm001/question3.py

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[]

no_license

MrHamdulay/csc3-capstone

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refs/heads/master

2021-03-12T21:55:57.781339

2014-09-22T02:22:22

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# calculate number of k-permutations of n items from mymath import * def main (): n = get_integer ("n") k = get_integer ("k") nfactorial = calc_factorial (n) nkfactorial = calc_factorial (n-k) print ("Number of permutations:", nfactorial // nkfactorial) if __name__ == "__main__": main()

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jarr2000@gmail.com

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/Python_codes/p02767/s186457503.py

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no_license

Aasthaengg/IBMdataset

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2023-04-22T10:22:44.763102

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N = int(input()) X = list(map(int,input().split())) ans = [] for i in range(max(X)): P = i+1 sum = 0 for j in range(N): sum += (X[j]-P)**2 ans.append(sum) print(min(ans))

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2020-06-09T16:58:38.474618

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# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('course', '0054_add_auditor_role'), ] operations = [ migrations.CreateModel( name='Facility', fields=[ ('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)), ('identifier', models.CharField(help_text=b'Format is lower-case-with-hyphens. Do not use spaces.', unique=True, max_length=50)), ('description', models.CharField(max_length=100)), ], ), migrations.CreateModel( name='FacilityIPRange', fields=[ ('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)), ('ip_range', models.CharField(max_length=200)), ('ip_range_description', models.CharField(max_length=100)), ('facility', models.ForeignKey(to='course.Facility')), ], ), ]

[ "inform@tiker.net" ]

inform@tiker.net

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/02-function/function-05.py

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[]

no_license

asvkarthick/LearnPython

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refs/heads/master

2021-06-23T06:30:46.681369

2021-06-11T19:35:40

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#!/usr/bin/python # Author: Karthick Kumaran <asvkarthick@gmail.com> # Function with variable number of arguments def print_args(*args): if len(args): for i in args: print(i); else: print('No arguments passed') print_args(1, 2, 3)

[ "asvkarthick@gmail.com" ]

asvkarthick@gmail.com

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refs/heads/master

2022-02-16T13:45:49.270833

2022-01-30T21:34:05

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#!/bin/python3 """Palette test. Usage: pal.py < /usr/share/X11/rgb.txt. Outputs RGB, hex, term hex, term dec, fg test, bg test, bg test RGB mode, name. """ # TODO: Use NamedColor dataclass. :) # https://github.com/welbornprod/colr # https://gist.github.com/XVilka/8346728 # https://lists.suckless.org/dev/1307/16688.html # https://github.com/martanne/dvtm/issues/10 import sys from typing import Tuple import dataclasses from dataclasses import dataclass import colr from colr import Colr @dataclass(order=True, frozen=True) class Color: r: int g: int b: int asdict = dataclasses.asdict astuple = dataclasses.astuple replace = dataclasses.astuple @property def rgb(self) -> Tuple[int]: return tuple([self.r, self.g, self.b]) @property def hex(self) -> str: return colr.rgb2hex(*self.rgb) @dataclass(order=True, frozen=True) class NamedColor(Color): name: str def sanitize_line(line, commenter='!'): """Clean up input line.""" return line.split(commenter, 1)[0].strip() def valid_lines(path): """Read and yield lines that are neither empty nor comments.""" with sys.stdin as fp: yield from filter(None, (sanitize_line(x) for x in fp)) def main(sep=' '): """Palette test main function.""" for line in valid_lines(None): r, g, b, name = line.split(maxsplit=3) r, g, b = (int(x) for x in [r, g, b]) h = colr.rgb2hex(r, g, b) th = colr.rgb2termhex(r, g, b) t = colr.rgb2term(r, g, b) d = dict(r=r, g=g, b=b, name=name, h=h, th=th, t=t) d['testfg'] = Colr().hex(h, 'test', rgb_mode=False) d['testbg'] = Colr().b_hex(h, 'test ', rgb_mode=False) d['testbg_rgb'] = Colr().b_hex(h, ' ', rgb_mode=True) fmt = sep.join(['{r:3} {g:3} {b:3}', '0x{h}', '0x{th}', '{t:>3s}', '{testfg}{testbg}{testbg_rgb}', '{name}']) print(fmt.format(**d)) if __name__ == '__main__': main()

[ "jupito@iki.fi" ]

jupito@iki.fi

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2021-01-24T18:27:24.417992

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def read(t): return t(raw_input().strip()) def read_arr(t): return map(t, raw_input().strip().split()) def rev_neg_num(n): return int("-" + (str(n)[1:])[::-1]) memz = {} for i in xrange(1, 10**6 + 1): if i <= 20: memz[i] = i elif i % 10 == 0: memz[i] = memz[i-1] + 1 else: rev = int(str(i)[::-1]) if rev in memz: memz[i] = min(memz[i-1] + 1, memz[rev] + 1) else: memz[i] = memz[i-1] + 1 def solve(N): return memz[N] solve(10**6) for T in xrange(input()): print "Case #%d:" % (T+1, ), print solve(read(int))

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# -*- coding: utf-8 -*- """ @author : Wang Meng @github : https://github.com/tianpangji @software : PyCharm @file : users.py @create : 2020/9/15 21:59 """ import django_filters from drf_admin.common.models import get_child_ids from oauth.models import Users from system.models import Departments class UsersFilter(django_filters.rest_framework.FilterSet): """自定义用户管理过滤器""" department_id = django_filters.rest_framework.NumberFilter(method='department_service_filter') class Meta: model = Users fields = ['is_active', 'department_id'] def department_service_filter(self, queryset, name, value): """过滤该部门及所有子部门下的用户""" return queryset.filter(department_id__in=get_child_ids(value, Departments))

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# -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'qt25_button.ui' # # Created by: PyQt5 UI code generator 5.11.3 # # WARNING! All changes made in this file will be lost! from PyQt5 import QtCore, QtGui, QtWidgets class Ui_Form(object): def setupUi(self, Form): Form.setObjectName("Form") Form.resize(400, 300) self.pushButton = QtWidgets.QPushButton(Form) self.pushButton.setGeometry(QtCore.QRect(10, 10, 101, 41)) self.pushButton.setObjectName("pushButton") self.toolButton = QtWidgets.QToolButton(Form) self.toolButton.setGeometry(QtCore.QRect(140, 10, 231, 31)) self.toolButton.setObjectName("toolButton") self.radioButton = QtWidgets.QRadioButton(Form) self.radioButton.setGeometry(QtCore.QRect(10, 60, 101, 31)) self.radioButton.setObjectName("radioButton") self.cb1 = QtWidgets.QCheckBox(Form) self.cb1.setGeometry(QtCore.QRect(10, 110, 61, 31)) self.cb1.setObjectName("cb1") self.commandLinkButton = QtWidgets.QCommandLinkButton(Form) self.commandLinkButton.setGeometry(QtCore.QRect(0, 160, 167, 41)) self.commandLinkButton.setObjectName("commandLinkButton") self.buttonBox = QtWidgets.QDialogButtonBox(Form) self.buttonBox.setGeometry(QtCore.QRect(10, 246, 166, 31)) self.buttonBox.setStandardButtons(QtWidgets.QDialogButtonBox.Cancel|QtWidgets.QDialogButtonBox.Ok) self.buttonBox.setObjectName("buttonBox") self.checkBox_2 = QtWidgets.QCheckBox(Form) self.checkBox_2.setGeometry(QtCore.QRect(80, 110, 61, 31)) self.checkBox_2.setObjectName("checkBox_2") self.cb3 = QtWidgets.QCheckBox(Form) self.cb3.setGeometry(QtCore.QRect(150, 110, 61, 31)) self.cb3.setObjectName("cb3") self.cb4 = QtWidgets.QCheckBox(Form) self.cb4.setGeometry(QtCore.QRect(220, 110, 61, 31)) self.cb4.setObjectName("cb4") self.retranslateUi(Form) QtCore.QMetaObject.connectSlotsByName(Form) def retranslateUi(self, Form): _translate = QtCore.QCoreApplication.translate Form.setWindowTitle(_translate("Form", "Form")) self.pushButton.setText(_translate("Form", "PushButton")) self.toolButton.setText(_translate("Form", "...")) self.radioButton.setText(_translate("Form", "RadioButton")) self.cb1.setText(_translate("Form", "CheckBox")) self.commandLinkButton.setText(_translate("Form", "CommandLinkButton")) self.checkBox_2.setText(_translate("Form", "CheckBox")) self.cb3.setText(_translate("Form", "CheckBox")) self.cb4.setText(_translate("Form", "CheckBox"))

[ "netfj@sina.com" ]

netfj@sina.com

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/PYDayByDay/Tkinter_ST/Button_TK/Button5.py

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JyHu/PYStudy

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2016-08-12T19:44:06.723361

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#coding=utf-8 __author__ = 'JinyouHU' from Tkinter import * root = Tk() b1 = Button(root, text='30×1', width=30, height=2) b1.pack() b2 = Button(root, text='30×2') b2['width'] = 30 b2['height'] = 3 b2.pack() b3 = Button(root, text='30×3') b3.configure(width=30, height=3) b3.pack() root.mainloop()

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auu.aug@gmail.com

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/PyROOT/GravityStudies/simple_two_body_gravity.py

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mattbellis/matts-work-environment

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refs/heads/master

2023-08-23T09:02:37.193619

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#!/usr/bin/env python from numpy import array import ROOT from ROOT import * from color_palette import * import sys from optparse import OptionParser import re import random as rnd ################################################################################ ################################################################################ ################################################################################ ################################################################################ def main(argv): parser = OptionParser() parser.add_option("-m", "--max", dest="max", default=1e9, help="Max games to read in.") parser.add_option("--tag", dest="tag", default=None, help="Tag for output files.") parser.add_option("--batch", dest="batch", default=False, action="store_true", help="Run in batch mode.") (options, args) = parser.parse_args() # Style options gStyle.SetOptStat(0) set_palette("palette",50) ############################################################################ # Declare the canvases ############################################################################ num_can = 1 can = [] for i in range(0,num_can): name = "can%d" % (i) if i<2: can.append(TCanvas(name,"",10+10*i,10+10*i,1350,700)) else: can.append(TCanvas(name,"",10+10*i,10+10*i,700,700)) can[i].SetFillColor(0) can[i].Divide(1,1) ############################################################################ # Declare some histograms ############################################################################ lo = 0.0 hi = 1.0 color = 2 nbins = 100 h = [] for i in range(0,5): name = "h%d" % (i) h.append(TH1F(name,"",nbins, lo, hi)) h[i].SetFillStyle(1000) h[i].SetFillColor(color) h[i].SetTitle("") h[i].SetNdivisions(8) h[i].GetYaxis().SetTitle("# occurances") h[i].GetYaxis().SetTitleSize(0.09) h[i].GetYaxis().SetTitleFont(42) h[i].GetYaxis().SetTitleOffset(0.7) h[i].GetYaxis().CenterTitle() h[i].GetXaxis().SetTitle("Arbitrary measurements") h[i].GetXaxis().SetLabelSize(0.12) h[i].GetXaxis().SetTitleSize(0.10) h[i].GetXaxis().SetTitleFont(42) h[i].GetXaxis().SetTitleOffset(1.0) h[i].GetXaxis().CenterTitle() h[i].SetMinimum(0) h2D = [] for i in range(0,5): name = "h2D%d" % (i) h2D.append(TH2F(name,"",nbins, lo, hi, nbins, lo, hi)) h2D[i].SetFillStyle(1000) h2D[i].SetFillColor(color) h2D[i].SetTitle("") h2D[i].SetNdivisions(8) h2D[i].GetYaxis().SetTitleSize(0.09) h2D[i].GetYaxis().SetTitleFont(42) h2D[i].GetYaxis().SetTitleOffset(0.7) h2D[i].GetYaxis().CenterTitle() h2D[i].GetYaxis().SetTitle("Visitng team") h2D[i].GetXaxis().SetTitle("Home team") #h2D[i].GetXaxis().SetLabelSize(0.09) h2D[i].GetXaxis().SetTitleSize(0.09) h2D[i].GetXaxis().SetTitleFont(42) h2D[i].GetXaxis().SetTitleOffset(0.7) h2D[i].GetXaxis().CenterTitle() h2D[i].SetMinimum(0) ############################################################################ # Set some physics quantitites ############################################################################ grav_constant = 100.0 mass = 5.0 # Save time, radius and mag of momentum recorded_values = [array('d'),array('d'),array('d')] ############################################################################ # Build the particles using velocity and position ############################################################################ num_particles = 2.0 particles = [] for i in range(0,num_particles): # Place the particles at 10.0 and -10.0 on z-axis with 0 momentum. z = 100.0 if i==1: z = -100.0 pos = TVector3(0.0,0.0,z) vel = TVector3(0.0,0.0,0.0) prev_pos = TVector3(pos) particles.append((pos,vel,prev_pos)) ############################################################################ # Calculate the motion of two bodies ############################################################################ t = 0 dt = 0.10 num_time_steps = 0 # Declare these once for use later force = TVector3() direction = TVector3() minimum_distance_allowable = 1.0 smallest_distance = 1000000.0 while smallest_distance>minimum_distance_allowable: print t # Copy the current position to the previous position for p in (particles): p[2].SetXYZ(p[0].X(),p[0].Y(),p[0].Z()) for p in particles: # Clear out the force vector force.SetXYZ(0.0,0.0,0.0) # Calculate the forces and then move them # Loop over all the other particles to calculate the sum of the # forces on our one particle for q in particles: if p is not q: #print "print pz and qz: %f %f" % (p[2].Z(),q[2].Z()) direction.SetXYZ(p[2].X(),p[2].Y(),p[2].Z()) direction -= q[2] distance = direction.Mag() print "distance: %f" % (distance) if distance<smallest_distance: smallest_distance=distance # Take into account the normalization that will have to be done. force_mag = grav_constant * mass * mass/(distance*distance*distance) # direction will now actually be the full force vector direction *= (-force_mag) force += direction # Update the momentum # Make force the momentum and then add it force *= dt force.Print() p[1].SetXYZ(p[1].X()+force.X(), p[1].Y()+force.Y(), p[1].Z()+force.Z()) # Update the new position p[0].SetXYZ(p[0].X()+p[1].X()*dt, p[0].Y()+p[1].Y()*dt, p[0].Z()+p[1].Z()*dt) # Save the radius and the magnitude of momentum recorded_values[0].append(t) print "recorded values: %f %f" % (p[0].Mag(),p[1].Mag()) recorded_values[1].append(p[0].Mag()) recorded_values[2].append(p[1].Mag()) dt = smallest_distance/1000.0 t += dt num_time_steps += 1 if num_time_steps>500: break print "num_time_steps: %d" % (num_time_steps) npts = len(recorded_values[0]) gr = TGraph(npts,recorded_values[1],recorded_values[2]) can[0].cd(1) gr.Draw("ap*") gPad.Update() ''' if options.tag != None: name = "Plots/sportsplots%s_%d.eps" % (options.tag,i) can[0].SaveAs(name) ''' ################################################################################ ## Wait for input to keep the GUI (which lives on a ROOT event dispatcher) alive if not options.batch: rep = '' while not rep in [ 'q', 'Q' ]: rep = raw_input( 'enter "q" to quit: ' ) if 1 < len(rep): rep = rep[0] ################################################################################ ################################################################################ if __name__ == '__main__': main(sys.argv)

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import numpy as np import os import random from typing import Optional from ray.rllib.utils.annotations import DeveloperAPI from ray.rllib.utils.framework import try_import_tf, try_import_torch @DeveloperAPI def update_global_seed_if_necessary( framework: Optional[str] = None, seed: Optional[int] = None ) -> None: """Seed global modules such as random, numpy, torch, or tf. This is useful for debugging and testing. Args: framework: The framework specifier (may be None). seed: An optional int seed. If None, will not do anything. """ if seed is None: return # Python random module. random.seed(seed) # Numpy. np.random.seed(seed) # Torch. if framework == "torch": torch, _ = try_import_torch() torch.manual_seed(seed) # See https://github.com/pytorch/pytorch/issues/47672. cuda_version = torch.version.cuda if cuda_version is not None and float(torch.version.cuda) >= 10.2: os.environ["CUBLAS_WORKSPACE_CONFIG"] = "4096:8" else: try: from packaging.version import Version except ImportError: from distutils.version import LooseVersion as Version if Version(torch.__version__) >= Version("1.8.0"): # Not all Operations support this. torch.use_deterministic_algorithms(True) else: torch.set_deterministic(True) # This is only for Convolution no problem. torch.backends.cudnn.deterministic = True elif framework == "tf2": tf1, tf, tfv = try_import_tf() # Tf2.x. if tfv == 2: tf.random.set_seed(seed) # Tf1.x. else: tf1.set_random_seed(seed)

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Jesus-Acevedo-Cano/holbertonschool-web_back_end

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refs/heads/main

2023-02-17T23:46:24.844689

2021-01-09T03:44:57

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#!/usr/bin/python3 """ LRU caching """ from base_caching import BaseCaching class LRUCache(BaseCaching): """ LRU cache class """ def __init__(self): """ constructor """ self.cache = [] super().__init__() def put(self, key, item): """ Add an item in the cache """ if key and item: if key in self.cache_data: self.cache.remove(key) self.cache_data[key] = item self.cache.append(key) if len(self.cache_data) > BaseCaching.MAX_ITEMS: discard = self.cache.pop(0) del self.cache_data[discard] print("DISCARD: {}".format(discard)) def get(self, key): """ Get an item by key """ if key is None or key not in self.cache_data: return None self.cache.remove(key) self.cache.append(key) return self.cache_data[key]

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jeacevedocano@gmail.com

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sejarah-nusantara/repository

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2021-01-25T13:06:10.833973

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from sqlalchemy import Table, Column, Integer, String, Boolean, ForeignKey from restrepo.db import metadata from restrepo.db.mixins import DictAble scan_image = Table('scan_image', metadata, Column('id', Integer, primary_key=True), Column('scan_number', Integer, ForeignKey('scan.number'), index=True), Column('filename', String(255), index=True), Column('is_default', Boolean), ) class ScanImage(DictAble): "An image linked to a scan. Can be the default one." def __init__(self, **kwdata): for k, v in kwdata.items(): setattr(self, k, v)

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crowdbotics-apps/digital-rehab-18007

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# Generated by Django 2.2.13 on 2020-06-11 07:43 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ("users", "0001_initial"), ] operations = [ migrations.AlterField( model_name="user", name="name", field=models.CharField(blank=True, max_length=255, null=True), ), ]

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/Data-Structures-and-Algorithms/Undirected-Graph-using-Adjacency-Matrix.py

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[]

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nirmalnishant645/Python-Programming

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''' The Implementation will be same as Directed Graph, but this time the connection will be done both ways. If v1 => v2 then v2 => v1 Or v1 <=> v2 ''' # Simple Graph Implementation class Graph: def __init__(self, number_of_nodes): # Initialise Graph Data Structure self.number_of_nodes = number_of_nodes + 1 # Number of nodes will have to be increased by one self.graph = [[0 for x in range(number_of_nodes + 1)] for y in range(number_of_nodes + 1)] def withInBounds(self, v1, v2): # Function to check if the value is within matrix bounds return v1 >= 0 and v1 <= self.number_of_nodes and v2 >= 0 and v2 <= self.number_of_nodes def insertEdge(self, v1, v2): # Function to inser edge in the Graph if self.withInBounds(v1, v2): # Check if values are within bounds self.graph[v1][v2] = 1 # Change the value of the node from 0 to 1 self.graph[v2][v1] = 1 # Adding the two way relation between the vertices to make in undirected def printGraph(self): # Functipon to Print Graph for i in range(self.number_of_nodes): for j in range(len(self.graph[i])): if self.graph[i][j]: print(i, '=>', j) g = Graph(5) g.insertEdge(1, 2) g.insertEdge(2, 3) g.insertEdge(4, 5) g.printGraph() ''' Output: 1 => 2 2 => 1 2 => 3 3 => 2 4 => 5 5 => 4 '''

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sarmabhamidipati/UCD

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2023-08-14T15:41:24.312859

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""" Processing data in chunks (1) The csv file 'world_dev_ind.csv' is in your current directory for your use. To begin, you need to open a connection to this file using what is known as a context manager. For example, the command with open('datacamp.csv') as datacamp binds the csv file 'datacamp.csv' as datacamp in the context manager. Here, the with statement is the context manager, and its purpose is to ensure that resources are efficiently allocated when opening a connection to a file. Instructions 100 XP Use open() to bind the csv file 'world_dev_ind.csv' as file in the context manager. Complete the for loop so that it iterates 1000 times to perform the loop body and process only the first 1000 rows of data of the file. """ # Open a connection to the file with open('world_dev_ind.csv') as file: # Skip the column names file.readline() # Initialize an empty dictionary: counts_dict counts_dict = {} # Process only the first 1000 rows for j in range(1000): # Split the current line into a list: line line = file.readline().split(',') # Get the value for the first column: first_col first_col = line[0] # If the column value is in the dict, increment its value if first_col in counts_dict.keys(): counts_dict[first_col] += 1 # Else, add to the dict and set value to 1 else: counts_dict[first_col] = 1 # Print the resulting dictionary print(counts_dict)

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b_vvs@yahoo.com

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rosoareslv/SED99

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from __future__ import unicode_literals from .mtv import MTVIE from ..utils import ExtractorError class CMTIE(MTVIE): IE_NAME = 'cmt.com' _VALID_URL = r'https?://www\.cmt\.com/(?:videos|shows)/(?:[^/]+/)*(?P<videoid>\d+)' _FEED_URL = 'http://www.cmt.com/sitewide/apps/player/embed/rss/' _TESTS = [{ 'url': 'http://www.cmt.com/videos/garth-brooks/989124/the-call-featuring-trisha-yearwood.jhtml#artist=30061', 'md5': 'e6b7ef3c4c45bbfae88061799bbba6c2', 'info_dict': { 'id': '989124', 'ext': 'mp4', 'title': 'Garth Brooks - "The Call (featuring Trisha Yearwood)"', 'description': 'Blame It All On My Roots', }, 'skip': 'Video not available', }, { 'url': 'http://www.cmt.com/videos/misc/1504699/still-the-king-ep-109-in-3-minutes.jhtml#id=1739908', 'md5': 'e61a801ca4a183a466c08bd98dccbb1c', 'info_dict': { 'id': '1504699', 'ext': 'mp4', 'title': 'Still The King Ep. 109 in 3 Minutes', 'description': 'Relive or catch up with Still The King by watching this recap of season 1, episode 9. New episodes Sundays 9/8c.', 'timestamp': 1469421000.0, 'upload_date': '20160725', }, }, { 'url': 'http://www.cmt.com/shows/party-down-south/party-down-south-ep-407-gone-girl/1738172/playlist/#id=1738172', 'only_matching': True, }] @classmethod def _transform_rtmp_url(cls, rtmp_video_url): if 'error_not_available.swf' in rtmp_video_url: raise ExtractorError( '%s said: video is not available' % cls.IE_NAME, expected=True) return super(CMTIE, cls)._transform_rtmp_url(rtmp_video_url)

[ "rodrigosoaresilva@gmail.com" ]

rodrigosoaresilva@gmail.com

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adabbott/Research_Notes

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refs/heads/master

2023-05-12T20:26:58.938617

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# pip install fdm import numpy as np import jax.numpy as jnp import fdm import jax # Function: #f(x,y,z) = exp(1 * x + 2 * y + 3 * z) def func(vec): coef = jnp.array([1.,2.,3.]) return jnp.exp(jnp.sum(coef * vec)) findif_gradient = fdm.gradient(func) jax_gradient = jax.jacfwd(func, 0) inp1 = np.array([0.1,0.2,0.3]) inp2 = jnp.array([0.1,0.2,0.3]) print(findif_gradient(inp1)) print(jax_gradient(inp2)) findif_hessian = fdm.jacobian(jax_gradient) jax_hessian = jax.jacfwd(jax_gradient) print(findif_hessian(inp1)) print(jax_hessian(inp2)) findif_cubic = fdm.jacobian(jax_hessian) jax_cubic = jax.jacfwd(jax_hessian) print(findif_cubic(inp1)) print(jax_cubic(inp2))

[ "adabbott@uga.edu" ]

adabbott@uga.edu

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titiman1013/Algorithm

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# BFS # N, M = list(map(int, input().split())) # arr = [list(map(str, list(input()))) for i in range(N)] # dx = [-1, 1, 0, 0] # dy = [0, 0, -1, 1] # for i in range(N): # for j in range(M): # clone = [] # for i in range(N): # clone.append([]) # clone[i] = arr[i][:] # if clone[i][j] == 'L': # que = [] # x = i # y = j # cnt = 0 # result = 0 # clone[x][y] = 'W' # que.append((x, y)) # while que: # x, y = que.pop(0) # for k in range(4): # nx = x + dx[k] # ny = y + dy[k] # if 0 <= nx < N and 0 <= ny < M: # if clone[nx][ny] == 'L': # que.append((nx, ny)) # clone[nx][ny] = 'W' # cnt += 1 # if cnt > result: # result = cnt # print(result) # N, M = list(map(int, input().split())) # arr = [list(map(str, list(input()))) for i in range(N)] # dx = [-1, 1, 0, 0] # dy = [0, 0, -1, 1] # final = 0 # for i in range(N): # for j in range(M): # if arr[i][j] == 'L': # que = [] # visit = [[0] * M for i in range(N)] # x = i # y = j # result = 0 # visit[x][y] = 1 # que.append((x, y)) # while que: # x, y = que.pop(0) # for k in range(4): # nx = x + dx[k] # ny = y + dy[k] # if 0 <= nx < N and 0 <= ny < M: # if arr[nx][ny] == 'L' and visit[nx][ny] == 0: # que.append((nx, ny)) # visit[nx][ny] = visit[x][y] + 1 # if visit[nx][ny] > result: # result = visit[nx][ny] # if result > final: # final = result # print(final-1) # collection 사용 import collections N, M = list(map(int, input().split())) arr = [list(map(str, list(input()))) for i in range(N)] dx = [-1, 1, 0, 0] dy = [0, 0, -1, 1] final = 0 for i in range(N): for j in range(M): if arr[i][j] == 'L': que = collections.deque() visit = [[0] * M for i in range(N)] x = i y = j result = 0 visit[x][y] = 1 que.append((x, y)) while que: x, y = que.popleft() for k in range(4): nx = x + dx[k] ny = y + dy[k] if 0 <= nx < N and 0 <= ny < M: if arr[nx][ny] == 'L' and visit[nx][ny] == 0: que.append((nx, ny)) visit[nx][ny] = visit[x][y] + 1 if visit[nx][ny] > result: result = visit[nx][ny] if result > final: final = result print(final-1)

[ "hyunsukr1013@gmail.com" ]

hyunsukr1013@gmail.com

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/clustack/blueprint.py

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mrmh2/clustack

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import os import yaml import settings def load_blueprint_yaml(filename): """Load a blueprint from the given YAML file.""" with open(filename) as f: yaml_rep = yaml.load(f) name = yaml_rep['name'] bp = BluePrint(name) bp.version = yaml_rep['version'] if 'dependencies' in yaml_rep: bp.direct_dependencies = yaml_rep['dependencies'] return bp def load_blueprint(filename): """Load a blueprint from the given filename. Try to determine the type of blueprint from the file extension and dispatch to the relevant loader.""" path, ext = os.path.splitext(filename) try: loader = LOADERS[ext] except KeyError: raise Exception("Don't know how to load blueprint: {}".format(filename)) return loader(filename) def ext_matches(name, ext_list): """Return True if file extension is in the supplied list.""" base, ext = os.path.splitext(name) return ext in ext_list def get_basename_and_full_path(name, path): """Given name and path, return name with no extension and full path.""" basename = os.path.splitext(name)[0] full_path = os.path.join(path, name) return basename, full_path def get_available_blueprints(): """Generate list of all available blueprints, in the form of a dictionary of name : path pairs.""" available = {} bp_exts = settings.blueprint_exts bp_path = settings.blueprint_path for path in bp_path: matching_files = [f for f in os.listdir(path) if ext_matches(f, bp_exts)] md = dict(get_basename_and_full_path(fn, path) for fn in matching_files) available.update(md) return available def load_blueprint_by_name(name): """Load a blueprint from a (string) name. Use settings to determine search path, then choose a loader.""" name = name.lower() available_blueprints = get_available_blueprints() if name in available_blueprints: return load_blueprint(available_blueprints[name]) raise Exception("Can't load blueprint {} by name".format(name)) class BluePrint(object): """Class representing instructions for how to build a package. Expected to be constructed from a file, and will be used to create a Builder to build the package.""" def __init__(self, name): self.name = name self.direct_dependencies = [] self._full_dependencies = None @property def full_dependencies(self): """All dependencies, both direct and indirect. To avoid calculating every time, cache the result of the initial tree walk.""" if not self._full_dependencies: self._full_dependencies = self.find_full_dependencies() return self._full_dependencies def find_full_dependencies(self): """Find all indirect dependencies, by finding dependencies of dependencies.""" full_dependencies = [] modules = self.direct_dependencies while modules: module = modules.pop() full_dependencies.append(module) bp_dep = load_blueprint_by_name(module) modules += bp_dep.direct_dependencies return full_dependencies LOADERS = { '.yaml' : load_blueprint_yaml }

[ "mhartley@cantab.net" ]

mhartley@cantab.net

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/web3/utils/filters.py

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riccitensor/web3.py

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2020-12-11T09:16:53.374513

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import re import random import gevent from .types import ( is_string, is_array, ) from .abi import ( construct_event_topic_set, construct_event_data_set, ) def construct_event_filter_params(event_abi, contract_address=None, argument_filters=None, topics=None, fromBlock=None, toBlock=None, address=None): filter_params = {} if topics is None: topic_set = construct_event_topic_set(event_abi, argument_filters) else: topic_set = [topics] + construct_event_topic_set(event_abi, argument_filters) if len(topic_set) == 1 and is_array(topic_set[0]): filter_params['topics'] = topic_set[0] else: filter_params['topics'] = topic_set if address and contract_address: if is_array(address): filter_params['address'] = address + [contract_address] elif is_string(address): filter_params['address'] = [address, contract_address] else: raise ValueError( "Unsupported type for `address` parameter: {0}".format(type(address)) ) elif address: filter_params['address'] = address elif contract_address: filter_params['address'] = contract_address if fromBlock is not None: filter_params['fromBlock'] = fromBlock if toBlock is not None: filter_params['toBlock'] = toBlock data_filters_set = construct_event_data_set(event_abi, argument_filters) return data_filters_set, filter_params class BaseFilter(gevent.Greenlet): callbacks = None running = None stopped = False def __init__(self, web3, filter_id): self.web3 = web3 self.filter_id = filter_id self.callbacks = [] gevent.Greenlet.__init__(self) def __str__(self): return "Filter for {0}".format(self.filter_id) def _run(self): if self.stopped: raise ValueError("Cannot restart a Filter") self.running = True self.rejected_logs = [] previous_logs = self.web3.eth.getFilterLogs(self.filter_id) if previous_logs: for entry in previous_logs: for callback_fn in self.callbacks: if self.is_valid_entry(entry): callback_fn(entry) else: self.rejected_logs.append(entry) while self.running: changes = self.web3.eth.getFilterChanges(self.filter_id) if changes: for entry in changes: for callback_fn in self.callbacks: if self.is_valid_entry(entry): callback_fn(entry) else: self.rejected_logs.append(entry) gevent.sleep(random.random()) def is_valid_entry(self, entry): """ Hook for subclasses to implement additional filtering layers. """ return True def watch(self, *callbacks): if self.stopped: raise ValueError("Cannot watch on a filter that has been stopped") self.callbacks.extend(callbacks) if not self.running: self.start() def stop_watching(self, timeout=0): self.running = False self.stopped = True self.web3.eth.uninstallFilter(self.filter_id) self.join(timeout) stopWatching = stop_watching class BlockFilter(BaseFilter): pass class TransactionFilter(BaseFilter): pass ZERO_32BYTES = '[a-f0-9]{64}' def construct_data_filter_regex(data_filter_set): return re.compile(( '^' + '|'.join(( '0x' + ''.join( (ZERO_32BYTES if v is None else v[2:] for v in data_filter) ) for data_filter in data_filter_set )) + '$' )) class LogFilter(BaseFilter): data_filter_set = None data_filter_set_regex = None def get(self, only_changes=True): if self.running: raise ValueError( "Cannot call `get` on a filter object which is actively watching" ) if only_changes: return self.web3.eth.getFilterChanges(self.filter_id) else: return self.web3.eth.getFilterChanges(self.filter_id) def set_data_filters(self, data_filter_set): self.data_filter_set = data_filter_set if any(data_filter_set): self.data_filter_set_regex = construct_data_filter_regex( data_filter_set, ) def is_valid_entry(self, entry): if not self.data_filter_set_regex: return True return bool(self.data_filter_set_regex.match(entry['data']))

[ "pipermerriam@gmail.com" ]

pipermerriam@gmail.com

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[ "ezhillang@gmail.com" ]

ezhillang@gmail.com

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/products/migrations/0002_auto_20201204_0247.py

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wecode-bootcamp-korea/14-2nd-MyLittleTrip-backend

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# Generated by Django 3.1.4 on 2020-12-04 02:47 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('products', '0001_initial'), ] operations = [ migrations.AlterField( model_name='region', name='region_code', field=models.CharField(max_length=30), ), ]

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""" Pagination support. """ from marshmallow import fields, Schema from microcosm_flask.linking import Link, Links from microcosm_flask.operations import Operation class PageSchema(Schema): offset = fields.Integer(missing=0, default=0) limit = fields.Integer(missing=20, limit=20) def make_paginated_list_schema(ns, item_schema): """ Generate a paginated list schema. :param ns: a `Namespace` for the list's item type :param item_schema: a `Schema` for the list's item type """ class PaginatedListSchema(Schema): __alias__ = "{}_list".format(ns.subject_name) offset = fields.Integer(required=True) limit = fields.Integer(required=True) count = fields.Integer(required=True) items = fields.List(fields.Nested(item_schema), required=True) _links = fields.Raw() return PaginatedListSchema class Page(object): def __init__(self, offset, limit, **rest): self.offset = offset self.limit = limit self.rest = rest @classmethod def from_query_string(cls, qs): """ Create a page from a query string dictionary. This dictionary should probably come from `PageSchema.from_request()`. """ dct = qs.copy() offset = dct.pop("offset", None) limit = dct.pop("limit", None) return cls( offset=offset, limit=limit, **dct ) def next(self): return Page( offset=self.offset + self.limit, limit=self.limit, **self.rest ) def prev(self): return Page( offset=self.offset - self.limit, limit=self.limit, **self.rest ) def to_dict(self): return dict(self.to_tuples()) def to_tuples(self): """ Convert to tuples for deterministic order when passed to urlencode. """ return [ ("offset", self.offset), ("limit", self.limit), ] + [ (key, str(self.rest[key])) for key in sorted(self.rest.keys()) ] class PaginatedList(object): def __init__(self, ns, page, items, count, schema=None, operation=Operation.Search, **extra): self.ns = ns self.page = page self.items = items self.count = count self.schema = schema self.operation = operation self.extra = extra def to_dict(self): return dict( count=self.count, items=[ self.schema.dump(item).data if self.schema else item for item in self.items ], _links=self._links, **self.page.to_dict() ) @property def offset(self): return self.page.offset @property def limit(self): return self.page.limit @property def _links(self): return self.links.to_dict() @property def links(self): links = Links() links["self"] = Link.for_(self.operation, self.ns, qs=self.page.to_tuples(), **self.extra) if self.page.offset + self.page.limit < self.count: links["next"] = Link.for_(self.operation, self.ns, qs=self.page.next().to_tuples(), **self.extra) if self.page.offset > 0: links["prev"] = Link.for_(self.operation, self.ns, qs=self.page.prev().to_tuples(), **self.extra) return links

[ "jesse.myers@globality.com" ]

jesse.myers@globality.com

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xaneon/PythonProgrammingBasics

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2020-06-13T13:47:02.995326

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import random import os import time def print_gegenstande(gegenstande): os.system("clear") for i, gegenstand in enumerate(gegenstande): print(str(len(gegenstande) - i) + ". " + gegenstand) def eliminate_fifo(gegenstande): if len(gegenstande) == 0: print("Kein Gegenstand mehr uebrig.") else: out = gegenstande.pop(0) print_gegenstande(gegenstande) print("%s herausgenommen." %out) time.sleep(2) eliminate_fifo(gegenstande) print("Simulation einer Schlange, FIFO") anzahl_zufallszahlen = 8 groesste_zahl = 10 zufallszahlen = random.sample(range(1, groesste_zahl), anzahl_zufallszahlen) gegenstande = ['Gegenstand' + str(int(x)) for x in zufallszahlen] print_gegenstande(gegenstande) time.sleep(5) eliminate_fifo(gegenstande)

[ "bonne.habekost@gmail.com" ]

bonne.habekost@gmail.com

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/common/coco_caption/pycocoevalcap/eval.py

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__author__ = 'tylin' from common.coco_caption.pycocoevalcap.tokenizer.ptbtokenizer import PTBTokenizer from common.coco_caption.pycocoevalcap.bleu.bleu import Bleu from common.coco_caption.pycocoevalcap.meteor.meteor import Meteor from common.coco_caption.pycocoevalcap.rouge.rouge import Rouge from common.coco_caption.pycocoevalcap.cider.cider import Cider from common.coco_caption.pycocoevalcap.spice.spice import Spice class COCOEvalCap: def __init__(self, coco, cocoRes): self.evalImgs = [] self.eval = {} self.imgToEval = {} self.coco = coco self.cocoRes = cocoRes self.params = {'image_id': coco.getImgIds()} def evaluate(self): imgIds = self.params['image_id'] # imgIds = self.coco.getImgIds() gts = {} res = {} for imgId in imgIds: gts[imgId] = self.coco.imgToAnns[imgId] res[imgId] = self.cocoRes.imgToAnns[imgId] # ================================================= # Set up scorers # ================================================= print('tokenization...') tokenizer = PTBTokenizer() gts = tokenizer.tokenize(gts) res = tokenizer.tokenize(res) # ================================================= # Set up scorers # ================================================= print('setting up scorers...') scorers = [ (Bleu(4), ["Bleu_1", "Bleu_2", "Bleu_3", "Bleu_4"]), (Meteor(), "METEOR"), (Rouge(), "ROUGE_L"), (Cider(), "CIDEr"), (Spice(), "SPICE") ] # ================================================= # Compute scores # ================================================= for scorer, method in scorers: print('computing %s score...' % (scorer.method())) score, scores = scorer.compute_score(gts, res) if type(method) == list: for sc, scs, m in zip(score, scores, method): self.setEval(sc, m) self.setImgToEvalImgs(scs, gts.keys(), m) print("%s: %0.3f" % (m, sc)) else: self.setEval(score, method) self.setImgToEvalImgs(scores, gts.keys(), method) print("%s: %0.3f" % (method, score)) self.setEvalImgs() def setEval(self, score, method): self.eval[method] = score def setImgToEvalImgs(self, scores, imgIds, method): for imgId, score in zip(imgIds, scores): if not imgId in self.imgToEval: self.imgToEval[imgId] = {} self.imgToEval[imgId]["image_id"] = imgId self.imgToEval[imgId][method] = score def setEvalImgs(self): self.evalImgs = [eval for imgId, eval in self.imgToEval.items()]

[ "tanjiahuei@gmail.com" ]

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[ "LicenseRef-scancode-warranty-disclaimer" ]

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# @date 2018-09-02 # @author Frederic SCHERMA # @author Xavier BONNIN # @license Copyright (c) 2018 Dream Overflow # Stochastique indicator from strategy.indicator.indicator import Indicator from strategy.indicator.utils import down_sample, MMexp_n, MM_n import numpy as np from talib import STOCH as ta_STOCH, STOCHF as to_STOCHF class StochasticIndicator(Indicator): """ Stochastique indicator. https://www.fidelity.com/learning-center/trading-investing/technical-analysis/technical-indicator-guide/slow-stochastic """ __slots__ = '_len_K', '_len_D', '_prev_k', '_last_k', '_prev_d', '_last_d', '_ks', '_ds' @classmethod def indicator_type(cls): return Indicator.TYPE_MOMENTUM @classmethod def indicator_class(cls): return Indicator.CLS_OSCILLATOR def __init__(self, timeframe, len_K=9, len_D=3): super().__init__("stochastic", timeframe) self._len_K = len_K # periods number for the K self._len_D = len_D # periods number for the D self._prev_k = 0.0 self._last_k = 0.0 self._prev_d = 0.0 self._last_d = 0.0 self._ks = np.array([]) self._ds = np.array([]) @property def length(self): return self._length @length.setter def length(self, length): self._length = length @property def prev_k(self): return self._prev_k @property def last_k(self): return self._last_k @property def prev_d(self): return self._prev_d @property def last_d(self): return self._last_d @property def len_K(self): return self._len_K @len_K.setter def len_K(self, len_K): self._len_K = len_K @property def len_D(self): return self._len_D @len_D.setter def len_D(self, len_D): self._len_D = len_D @property def ks(self): return self._ks @property def ds(self): return self._ds def cross(self): if (self._prev_k > self._prev_d and self._last_k < self._last_d): return -1 elif (self._prev_k < self._prev_d and self._last_k > self._prev_d): return 1 return 0 @staticmethod def Stochastic(N, data, N_D=3): K = np.zeros(len(data)) for (j,d) in enumerate(data): i=min(j,N) highest = max(data[j-i:j+1]) lowest = min(data[j-i:j+1]) if highest == lowest: highest += 0.000000001 K[j]=(d-lowest)/(highest-lowest) # +epsilon to avoid 0 D = MM_n(N_D, K) return (K, D) @staticmethod def Stochastic_sf(N, data, N_D=3, step=1, filtering=False): """ Calcul des stochastiques. N est le nombre de periodes a observer pour repérer le min et le max du cours. N_D est le nombre d'echantillons de K a utiliser pour le calcul de D step permet de ne selectionner qu'un echantillon sur step dans data. filtering permet de filtrer ou non les donnees avant d'appliquer la selection. Retourne les stochastiques K, D interpolees lineairement ; meme taille que data. """ sub_data = down_sample(data, step) if filtering else data [::step] K = np.zeros(len(sub_data)) t_subdata = range(0,len(data),step) for (j,d) in enumerate(sub_data): i=min(j,N) highest = max(sub_data[j-i:j+1]) lowest = min(sub_data[j-i:j+1]) if highest == lowest: highest += 0.000000001 K[j]=(d-lowest)/(highest-lowest) # +epsilon to avoid 0 D = MM_n(N_D, K) return np.interp(range(len(data)), t_subdata, K), np.interp(range(len(data)), t_subdata, D) def compute(self, timestamp, high, low, close): self._prev_k = self._last_k self._prev_d = self._last_d # k, d = StochasticIndicator.Stochastic_sf(self._len_K, close, self._len_D) # , self._step, self._filtering) # k, d = ta_STOCH(high, low, close, fastk_period=self._len_K, slowk_period=3, slowk_matype=0, slowd_period=3, slowd_matype=0) self._ks, self._ds = to_STOCHF(high, low, close, fastk_period=self._len_K, fastd_period=self._len_D, fastd_matype=0) self._last_k = self._ks[-1] self._last_d = self._ds[-1] self._last_timestamp = timestamp return self._ks, self._ds def trace(self): return tuple(self._last_k, self._last_d)

[ "frederic.scherma@gmail.com" ]

frederic.scherma@gmail.com

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/opengever/core/upgrades/20180427113547_remove_repository_favorites_registry/upgrade.py

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[]

no_license

robertmuehsig/opengever.core

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63b3747793d5b824c56eb3659987bb361d25d8d8

refs/heads/master

2020-09-08T14:55:00.340222

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2019-11-12T08:08:59

2019-11-12T08:08:54

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py

from ftw.upgrade import UpgradeStep class RemoveRepositoryFavoritesRegistry(UpgradeStep): """Remove repository favorites registry. """ def __call__(self): self.install_upgrade_profile()

[ "e.schmutz@4teamwork.ch" ]

e.schmutz@4teamwork.ch

e0aaddac3ec13c25540d435aa328944f249a9596

60105dfa9cd52412e86a1970b0873a47c058ca07

/day1/files_ex1.py

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ktbyers/pynet-ons-feb19

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refs/heads/master

2020-04-19T20:43:31.754871

2019-02-25T20:47:40

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Apache-2.0

2019-02-07T20:03:09

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#!/usr/bin/env python # READ #### f = open("my_file.txt") my_content = f.read() print(my_content) # WRITE #### print("\nWriting file.") f = open("new_file.txt", "w") f.write("whatever2\n") f.close() # APPEND #### print("\nAppending file.") with open("new_file.txt", "a") as f: f.write("something else\n") print()

[ "ktbyers@twb-tech.com" ]

ktbyers@twb-tech.com

d036805b85edb2e1846da24c7dc43c38d5a4e726

c8c95520fb1a17d627a0256df2c6702f4f53403a

/3.3_the_for_loop.py

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[]

no_license

wsargeant/httlacs

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refs/heads/master

2023-02-21T21:10:03.228762

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2020-08-28T10:35:17

2020-08-04T09:32:38

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py

def main(): pass if __name__ == '__main__': main() for f in ["Joe", "Steve", "Pete", "Ian", "Mike", "Dom"]: invite = "Hi " + f + ". Please come to my party on Saturday." print(invite)

[ "69194027+wsargeant@users.noreply.github.com" ]

69194027+wsargeant@users.noreply.github.com

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/leetcode/217_contains_duplicate.py

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[]

no_license

lvraikkonen/GoodCode

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a0f270c1adce25be11df92877813037f2e73e28b

refs/heads/master

2022-05-04T19:55:40.751420

2022-04-12T09:41:15

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2020-10-13T18:57:51

2016-10-26T06:24:11

Java

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py

from collections import Counter def containsDuplicate_counter(nums): """ :type nums: List[int] :rtype: bool """ n = Counter(nums) for k, v in n.items(): if v > 1: return True return False def containsDuplicate_set(nums): """ :type nums: List[int] :rtype: bool """ distinct_nums = set() for num in nums: if num in distinct_nums: return True distinct_nums.add(num) return False if __name__ == "__main__": result = containsDuplicate_set([1,2,3,3]) print result

[ "claus.lv@hotmail.com" ]

claus.lv@hotmail.com

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/architecture_view_sdk/model/metadata_center/stream_metric_states_pb2.py

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[ "Apache-2.0" ]

permissive

easyopsapis/easyops-api-python

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adf6e3bad33fa6266b5fa0a449dd4ac42f8447d0

refs/heads/master

2020-06-26T23:38:27.308803

2020-06-16T07:25:41

199,773,131

5

0

null

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# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: stream_metric_states.proto import sys _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() from architecture_view_sdk.model.metadata_center import stream_metric_schema_pb2 as architecture__view__sdk_dot_model_dot_metadata__center_dot_stream__metric__schema__pb2 DESCRIPTOR = _descriptor.FileDescriptor( name='stream_metric_states.proto', package='metadata_center', syntax='proto3', serialized_options=_b('ZIgo.easyops.local/contracts/protorepo-models/easyops/model/metadata_center'), serialized_pb=_b('\n\x1astream_metric_states.proto\x12\x0fmetadata_center\x1a\x46\x61rchitecture_view_sdk/model/metadata_center/stream_metric_schema.proto\"h\n\x12StreamMetricStates\x12\x0b\n\x03org\x18\x01 \x01(\x05\x12\x0f\n\x07\x63ommand\x18\x02 \x01(\t\x12\x34\n\x07payload\x18\x03 \x03(\x0b\x32#.metadata_center.StreamMetricSchemaBKZIgo.easyops.local/contracts/protorepo-models/easyops/model/metadata_centerb\x06proto3') , dependencies=[architecture__view__sdk_dot_model_dot_metadata__center_dot_stream__metric__schema__pb2.DESCRIPTOR,]) _STREAMMETRICSTATES = _descriptor.Descriptor( name='StreamMetricStates', full_name='metadata_center.StreamMetricStates', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='org', full_name='metadata_center.StreamMetricStates.org', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='command', full_name='metadata_center.StreamMetricStates.command', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='payload', full_name='metadata_center.StreamMetricStates.payload', index=2, number=3, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=119, serialized_end=223, ) _STREAMMETRICSTATES.fields_by_name['payload'].message_type = architecture__view__sdk_dot_model_dot_metadata__center_dot_stream__metric__schema__pb2._STREAMMETRICSCHEMA DESCRIPTOR.message_types_by_name['StreamMetricStates'] = _STREAMMETRICSTATES _sym_db.RegisterFileDescriptor(DESCRIPTOR) StreamMetricStates = _reflection.GeneratedProtocolMessageType('StreamMetricStates', (_message.Message,), { 'DESCRIPTOR' : _STREAMMETRICSTATES, '__module__' : 'stream_metric_states_pb2' # @@protoc_insertion_point(class_scope:metadata_center.StreamMetricStates) }) _sym_db.RegisterMessage(StreamMetricStates) DESCRIPTOR._options = None # @@protoc_insertion_point(module_scope)

[ "service@easyops.cn" ]

service@easyops.cn

2fcaf139e76286b816d99605e71bc07a933e540c

dc940d7614c4cf55a3c61a1ad4ee48e4ea4e319d

/src/slurmify/slurmify.py

cc78977d8e499ee972aa5bd9eb2e6fe671d6160d

[ "MIT" ]

permissive

salotz/slurmify

b4c88e434c2814c71fcef9cd13ecd716163a75d8

4a6da629706621b9b2633d34e574b121a75a8f87

refs/heads/master

2020-04-28T23:22:10.227665

2019-10-08T01:37:33

175,651,924

0

1

MIT

2020-12-01T07:43:57

2019-03-14T15:42:30

Python

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Python

false

5,320

py

import os import os.path as osp import tempfile import subprocess from jinja2 import Environment, FileSystemLoader from slurmify import TEMPLATES_PATH # names of the templates SLURM_JOB_TEMPLATE = "slurm_job.sh.j2" SLURM_RUN_TEMPLATE = "slurm_run.sh.j2" SLURM_SETUP_TEMPLATE = "slurm_setup.sh.j2" SLURM_TEARDOWN_TEMPLATE = "slurm_teardown.sh.j2" SLURM_COMMANDS_TEMPLATE = "slurm_commands.sh.j2" SLURM_SCRIPT_TEMPLATE = "slurm_script.sh.j2" # list of all the templates SLURM_TEMPLATE_NAMES = (SLURM_JOB_TEMPLATE, SLURM_RUN_TEMPLATE, SLURM_SCRIPT_TEMPLATE, SLURM_COMMANDS_TEMPLATE) # the names of the targets and whether or not they are optional (True) # or not (False). This is from the perspective of the template and not # the interfaces of the programs which may support defaults and other # options etc. SLURM_JOB_TARGETS = ( ('job_name', False), ('stderr_log_dir', False), ('stdout_log_dir', False), ('login_shell', True), ('mail_user', True), ('mail_type', True), ) SLURM_RUN_TARGETS = ( ('walltime', False), ('nodes', False), ('ntasks', False), ('cpus_per_task', False), ('mem_per_cpu', True), ('node_mem', True), ('nodelist', True), ('constraint', True), ('gres', True), ('chdir', True), ) SLURM_SCRIPT_TARGETS = ( ('slurm_job', False), ('slurm_run', False), ('setup', True), ('payload', False), ('teardown', True), ) SLURM_COMMANDS_TARGETS = ( ('commands', False), ('epilog', True) ) SLURM_SCRIPT_EMBED_TARGETS = ( ('script', False), ('epilog', True) ) SLURM_SETUP_TARGETS = ( ('task_name', False), ('task_dir_path', False), ('env_vars', True), ('gnu_module', True), ('cuda_module', True), # slurm job stuff ('walltime', True), ('memory', True), ('num_nodes', True), ('num_processors', True), ('num_gpus', True), ) # Defaults MAIL_TYPE_DEFAULT = "BEGIN,END,FAIL" def get_env(): return Environment(loader=FileSystemLoader(TEMPLATES_PATH)) def check_kwargs(targets, input_kwargs): missing = [] for key, optional in targets: if key not in input_kwargs: if not optional: missing.append(key) return missing class SlurmJob(): def __init__(self, job_name, logs_dir='logs', setup=None, teardown=None, login_shell=True, email=None, mail_type='BEGIN,END,FAIL'): if logs_dir: stderr_log_dir = logs_dir stdout_log_dir = logs_dir self.job_kwargs = { 'job_name' : job_name, 'stderr_log_dir' : stderr_log_dir, 'stdout_log_dir' : stdout_log_dir, 'login_shell' : login_shell, 'mail_user' : email, 'mail_type' : mail_type } self.env = get_env() job_template = self.env.get_template(SLURM_JOB_TEMPLATE) # check to make sure all arguments work if len(check_kwargs(SLURM_JOB_TARGETS, self.job_kwargs)) < 1: self._job_header = job_template.render(self.job_kwargs) else: raise ValueError # get default setup and teardown scripts self._setup = "" self._teardown = "" @property def job_header(self): return self._job_header @property def setup(self): return self._setup @property def teardown(self): return self._teardown def run(self, run_kwargs, commands, epilog=None): run_template = self.env.get_template(SLURM_RUN_TEMPLATE) commands_template = self.env.get_template(SLURM_COMMANDS_TEMPLATE) script_template = self.env.get_template(SLURM_SCRIPT_TEMPLATE) if len(check_kwargs(SLURM_RUN_TARGETS, run_kwargs)) < 1: run_header = run_template.render(run_kwargs) else: raise ValueError payload = commands_template.render(commands=commands, epilog=epilog) script_kwargs = { 'slurm_job' : self.job_header, 'slurm_run' : run_header, 'setup' : self.setup, 'payload' : payload, 'teardown' : self.teardown } if len(check_kwargs(SLURM_SCRIPT_TARGETS, script_kwargs)) < 1: script_str = script_template.render(script_kwargs) else: raise ValueError # make a temporary file for the script and use sbatch to # submit it with tempfile.NamedTemporaryFile() as tmpfile: # write the script to the tempfile tmpfile.write(str.encode(script_str)) # set the file pointer back to the beginning of the file # so we don't have to reopen it tmpfile.seek(0) # the path to the temp file tmpfile_path = tmpfile.name # then actually submit the script and get the return # values complete_process = subprocess.run(['sbatch', tmpfile_path]) # if there was error get it: if complete_process.stderr is not None: pass # get the jobid from stdout #complete_process.stdout return 0, complete_process

[ "samuel.lotz@salotz.info" ]

samuel.lotz@salotz.info

7a8fa12f5d1cb13446a07ad2b0d36370c27adf16

1d04c90b3331261d741cc4f8757aeb0088193627

/setup.py

fab6d30a6a0fe2cbc72fdd710ca21377f27e0b75

[ "ZPL-2.1" ]

permissive

jean/Products.ZopeVersionControl

11f5251fea47e12b6db10c2ff2067f23a93ebad4

c5a7efacf39bd27a7acda525096f7f05e0672179

refs/heads/master

2021-01-22T16:37:29.630614

2013-03-13T14:29:07

null

0

null

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false

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py

from setuptools import setup, find_packages __version__ = '1.1.4dev' setup( name='Products.ZopeVersionControl', version=__version__, description="Zope Version Control", long_description=(open('README.rst').read() + "\n" + open('CHANGES.rst').read()), classifiers=[ 'Framework :: Zope2', ], license='ZPL', author='Zope Foundation and Contributors', author_email='zope-dev@zope.org', url='http://pypi.python.org/pypi/Products.ZopeVersionControl', packages=find_packages('src'), package_dir={'': 'src'}, namespace_packages=['Products'], include_package_data=True, zip_safe=False, install_requires=[ 'setuptools', 'zope.interface', 'Acquisition', 'DateTime', 'transaction', 'ZODB3', 'Zope2', ], )

[ "hanno@hannosch.eu" ]

hanno@hannosch.eu

ce530f3a0911852d37807d078ec6dcec182f3b0f

a2dce63dc04f484d1457073610343378656a1ffd

/p24.py

c193733b0ed3535db6ba4015fe24cd7bf5da243e

[]

no_license

analaura09/pythongame

5ece67047095160cdbc56ae3bb14920c787d8d02

54c83cf731a384fdb04bc4c3ed0bcf109b03d5ed

refs/heads/main

2023-03-29T00:35:35.713616

2021-03-21T17:53:28

348,432,418

0

null

UTF-8

Python

false

382

py

import run() nome = str(input(' Digite o nome da cidade: ')).strip() print(nome[:5].upper == 'SANTO') opçao = int(input('deseja repetir esse exercicio?[1] \ndeseja voltar para o mundo1? [2] \ndeseja sair do jogo?[3]')) if opçao == 1: import p24 p24.run() if opçao ==2: import mundo1 mundo1.run() if opçao == 3: print('Obrigada por jogar! Volte sempre :)')

[ "pereira.laura@escolar.ifrn.edu.br" ]

pereira.laura@escolar.ifrn.edu.br

bd43d4b1bc8f330307b9720cb6b8e6383124f6dc

de24f83a5e3768a2638ebcf13cbe717e75740168

/moodledata/vpl_data/62/usersdata/191/32531/submittedfiles/ex1.py

e50dfa28cc19c4488d103df646274da8bad5050f

[]

no_license

rafaelperazzo/programacao-web

95643423a35c44613b0f64bed05bd34780fe2436

170dd5440afb9ee68a973f3de13a99aa4c735d79

refs/heads/master

2021-01-12T14:06:25.773146

2017-12-22T16:05:45

69,566,344

0

null

UTF-8

Python

false

338

py

# -*- coding: utf-8 -*- from __future__ import division a = float(input('Digite a: ')) b = float(input('Digite b: ')) c = float(input('Digite c: ')) delta=(b**2)-(4*a*c) if delta>=0: x1=(-b+delta**(1/2))/(2*a) x2=(-b-delta**(1/2))/(2*a) print('x1 é igual a %.2f'%x1) print('x2 é igual a %.2f'%x2) else: print('SRR')

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

rafael.mota@ufca.edu.br

61e37196f31ae35d096a8c8fd30ddb31149a289a

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/f5/bigip/tm/asm/policies/test/functional/test_extractions.py

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F5Networks/f5-common-python

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refs/heads/development

2023-08-29T10:11:23.713392

2022-09-21T02:45:03

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Apache-2.0

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# Copyright 2017 F5 Networks Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # import os import pytest import tempfile from distutils.version import LooseVersion from f5.bigip.tm.asm.policies.extractions import Extraction from f5.sdk_exception import MissingRequiredCreationParameter from requests.exceptions import HTTPError @pytest.fixture(scope='function') def set_extraction(policy): file = tempfile.NamedTemporaryFile() name = os.path.basename(file.name) r1 = policy.extractions_s.extraction.create( extractFromAllItems=True, name=name ) yield r1 r1.delete() @pytest.mark.skipif( LooseVersion(pytest.config.getoption('--release')) < LooseVersion('11.6.0'), reason='This collection is fully implemented on 11.6.0 or greater.' ) class TestExtractions(object): def test_create_req_arg(self, policy): file = tempfile.NamedTemporaryFile() name = os.path.basename(file.name) r1 = policy.extractions_s.extraction.create( extractFromAllItems=True, name=name ) assert r1.kind == 'tm:asm:policies:extractions:extractionstate' r1.delete() def test_create_mandatory_arg_missing(self, policy2): file = tempfile.NamedTemporaryFile() name = os.path.basename(file.name) with pytest.raises(MissingRequiredCreationParameter) as err: policy2.extractions_s.extraction.create( extractFromAllItems=False, name=name ) assert 'This resource requires at least one of the' in str(err.value) def test_create_mandatory_arg_present(self, policy2): file = tempfile.NamedTemporaryFile() name = os.path.basename(file.name) r1 = policy2.extractions_s.extraction.create( extractFromAllItems=False, name=name, extractFromRegularExpression='["test"]') assert r1.kind == 'tm:asm:policies:extractions:extractionstate' assert r1.extractFromRegularExpression == '["test"]' assert r1.extractFromAllItems is False r1.delete() def test_refresh(self, set_extraction, policy): r1 = set_extraction r2 = policy.extractions_s.extraction.load(id=r1.id) assert r1.kind == r2.kind assert r1.extractFromAllItems == r2.extractFromAllItems assert r1.searchInXml == r2.searchInXml r2.modify(searchInXml=True) assert r1.searchInXml is False assert r2.searchInXml is True r1.refresh() assert r1.searchInXml is True def test_delete(self, policy): file = tempfile.NamedTemporaryFile() name = os.path.basename(file.name) r1 = policy.extractions_s.extraction.create( extractFromAllItems=True, name=name ) idhash = r1.id r1.delete() with pytest.raises(HTTPError) as err: policy.extractions_s.extraction.load(id=idhash) assert err.value.response.status_code == 404 def test_load_no_object(self, policy): with pytest.raises(HTTPError) as err: policy.extractions_s.extraction.load(id='Lx3553-321') assert err.value.response.status_code == 404 def test_load(self, set_extraction, policy): r1 = set_extraction assert r1.kind == 'tm:asm:policies:extractions:extractionstate' assert r1.searchInXml is False r1.modify(searchInXml=True) assert r1.searchInXml is True r2 = policy.extractions_s.extraction.load(id=r1.id) assert r1.kind == r2.kind assert r1.searchInXml == r2.searchInXml def test_extractions_subcollection(self, policy, set_extraction): r1 = set_extraction assert r1.kind == 'tm:asm:policies:extractions:extractionstate' cc = policy.extractions_s.get_collection() assert isinstance(cc, list) assert len(cc) assert isinstance(cc[0], Extraction)

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# # Unsolved in contest ## Accepted solution: O(n+k) solution # https://www.youtube.com/watch?v=QouZfBC9CVw&list=RDCMUC4lyxGubhu5u1s1LYCwXtZw&index=2 def prefix_algo(): t = int(input()) from collections import defaultdict import math for _ in range(t): n, k = list(map(int, input().split())) seq = list(map(int, input().split())) prefix_arr = [0]*(2*k+10) zero_count = defaultdict(int) for i in range(n//2): zero_count[seq[i] + seq[n-i-1]] += 1 a, b = sorted((seq[i], seq[n-i-1])) L = a + 1 R = b + k prefix_arr[L] += 1 prefix_arr[R+1] -= 1 prefsum = 0 for i in range(2*k + 10): prefsum += prefix_arr[i] prefix_arr[i] = prefsum ans = n for i in range(2, 2*k + 1): zero = zero_count[i] ones = prefix_arr[i] - zero twos = n//2 - ones - zero total = ones + twos*2 ans = min(ans, total) print(ans) prefix_algo() ## Naive solution: O(n*k) - TLE def Naive(): t = int(input()) import math for _ in range(t): n, k = list(map(int, input().split())) seq = list(map(int, input().split())) ans = 10**6 for tot in range(2, 2*k + 1): counter = 0 for i in range(n//2): a, b = seq[i], seq[n - i - 1] if a+b>tot: minchange = max(a-1, b-1) if a+b - minchange > tot: counter += 2 else: counter += 1 elif a + b < tot: maxchange = max(k - a, k - b) if a+b+maxchange < tot: counter +=2 else: counter += 1 if counter < ans: ans = counter print(ans) ### Main mistake was that I diregarded the individual numbers (a, b) and only took the sum. The number5 ## Failed approach 1 # ans = 10**6 # pair_sum = list() # for i in range(n//2): # pair_sum.append(seq[i] + seq[n - i - 1]) # for master in pair_sum: # counter = 0 # for pair in pair_sum: # if pair!=master: # if abs(pair - master) >= k: # counter += 2 # else: # counter += 1 # if counter<ans: # ans = counter # master = k # counter = 0 # for pair in pair_sum: # if pair!=master: # if abs(pair - master) >= k: # counter += 2 # else: # counter += 1 # if counter<ans: # ans = counter # print(ans) ## Failed approach 2 # pair_sum = dict() # mode_count = 0 # for i in range(n//2): # temp = seq[i] + seq[n - i - 1] # if temp in pair_sum: pair_sum[temp] += 1 # else: pair_sum[temp] = 1 # if pair_sum[temp]>mode_count: # mode_count = pair_sum[temp] # ans = 10**6 # for key, v in pair_sum.items(): # if v == mode_count: # mode_sum = key # counter = 0 # for i in range(n//2): # temp = seq[i] + seq[n - i - 1] # if temp!=mode_sum: # if abs(temp - mode_sum) >= k: # counter += 2 # else: # counter += 1 # # print(mode_sum, temp, counter) # if counter<ans: # ans = counter # if k//2 not in pair_sum: # mode_sum = k//2 # counter = 0 # for i in range(n//2): # temp = seq[i] + seq[n - i - 1] # if temp!=mode_sum: # if abs(temp - mode_sum) >= k: # counter += 2 # else: # counter += 1 # # print(mode_sum, temp, counter) # if counter<ans: # ans = counter # ans = min(n//2, ans) # print(ans)

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imperfectskillz/AirBnB_clone_v2

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#!/usr/bin/python3 #fabric script generates a tgz archive from fabric.api import * from datetime import datetime import os env.hosts = ["52.91.246.129", "107.23.155.217"] env.user = "ubuntu" def do_pack(): """ creates tgz """ filetime = datetime.now().strftime('%Y%m%d%H%M%s') filename = 'versions/web_static_{}.tgz'.format(filetime) try: local("mkdir -p versions") local('tar -cvzf {} web_static'.format(filename)) return filename except: return None def do_deploy(archive_path): """ distributes archive to web servers """ file = archive_path.split("/")[1] if os.path.isfile(archive_path): try: put(archive_path, "/tmp/{}".format(file)) file1 = file.split(".")[0] run("mkdir -p /data/web_static/releases/{}/".format(file1)) run("tar -xzf /tmp/{} -C /data/web_static/releases/{}".format( file, file1)) run("rm /tmp/{}".format(file)) run("mv /data/web_static/releases/{}/web_static/* /data/web_static/releases/{}/".format(file1, file1)) run("rm -rf /data/web_static/releases/{}/web_static".format(file1)) run("rm -rf /data/web_static/current") run("ln -s /data/web_static/releases/{}/ /data/web_static/current".format(file1)) return True except: return False def deploy(): """ set-up """ temp = do_pack() if not temp: return False return do_deploy(temp)

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# Python solution for 'Sum of Digits / Digital Root' codewars question. # Level: 6 kyu # Tags: Algorithms, Mathematics, Numbers, and Arithmetic. # Author: Jack Brokenshire # Date: 13/02/2020 import unittest def digital_root(n): """ A digital root is the recursive sum of all the digits in a number. Given n, take the sum of the digits of n. If that value has more than one digit, continue reducing in this way until a single-digit number is produced. This is only applicable to the natural numbers. :param n: A input integer value. :return: Adds each digit together in the given number until it reaches a single-digit number. """ while n > 10: n = sum([int(x) for x in str(n) if n > 10]) digital_root(n) return n class TestDigitalRoot(unittest.TestCase): """Class to test 'digital_root' function""" def test_digital_root(self): self.assertEqual(digital_root(16), 7) self.assertEqual(digital_root(456), 6) self.assertEqual(digital_root(942), 6) self.assertEqual(digital_root(132189), 6) self.assertEqual(digital_root(493193), 2) if __name__ == '__main__': unittest.main()

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import json import seaserv from seaserv import seafile_api from seahub.test_utils import BaseTestCase class BeSharedReposTest(BaseTestCase): def setUp(self): self.login_as(self.admin) def tearDown(self): self.remove_repo() def _prepare_repo_and_group(self): # create repo for user sub_repo_id = seafile_api.create_virtual_repo(self.repo.id, self.folder, self.repo.name, '', self.user.username) self.sub_repo_id = sub_repo_id # create group for admin admin_group_id = seaserv.ccnet_threaded_rpc.create_group('admin-group', self.admin.email) self.admin_group_id = admin_group_id def test_can_list_personal_shared_repo(self): self._prepare_repo_and_group() # A user shares a folder to admin with permission 'rw'. seafile_api.share_repo(self.sub_repo_id, self.user.username, self.admin.username, 'rw') resp = self.client.get('/api2/beshared-repos/') self.assertEqual(200, resp.status_code) json_resp = json.loads(resp.content) assert json_resp[0]['repo_id'] == self.sub_repo_id assert json_resp[0]['share_type'] == 'personal' def test_can_list_group_repo(self): self._prepare_repo_and_group() # A user shares a folder to admin group with permission 'rw'. seafile_api.set_group_repo(self.sub_repo_id, self.admin_group_id, self.user.username, 'rw') resp = self.client.get('/api2/beshared-repos/') self.assertEqual(200, resp.status_code) json_resp = json.loads(resp.content) assert json_resp[0]['repo_id'] == self.sub_repo_id assert json_resp[0]['share_type'] == 'group' def test_can_list_public_repo(self): self._prepare_repo_and_group() # A user shares a folder to public with permission 'rw'. seafile_api.add_inner_pub_repo(self.sub_repo_id, 'rw') resp = self.client.get('/api2/beshared-repos/') self.assertEqual(200, resp.status_code) json_resp = json.loads(resp.content) assert json_resp[0]['repo_id'] == self.sub_repo_id assert json_resp[0]['share_type'] == 'public'

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''' Created by auto_sdk on 2013-04-01 16:44:41 ''' from top.api.base import RestApi class SimbaRptCusteffectGetRequest(RestApi): def __init__(self,domain='gw.api.taobao.com',port=80): RestApi.__init__(self,domain, port) self.end_time = None self.nick = None self.page_no = None self.page_size = None self.source = None self.start_time = None self.subway_token = None def getapiname(self): return 'taobao.simba.rpt.custeffect.get'

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#!/usr/bin/python fo = open("example197_file_seek.py","r") print "Name of the file: ", fo.name line = fo.readline() print "Read Line: %s" % line fo.seek(0,0) line = fo.readline() print "Read Line: %s" % line fo.close()

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def max_occur(text): freqs = {c: text.count(c) for c in text if text.count(c) > 1} if not freqs: return 'No Repetition' return sorted(c for c in freqs if freqs[c] == max(freqs.values()))

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# Copyright (c) Glow Contributors. See CONTRIBUTORS file. # # 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 absolute_import, division, print_function, unicode_literals import torch from tests import utils class TestZero(utils.TorchGlowTestCase): def test_zero_basic(self): """Basic test of the PyTorch zero Node on Glow.""" class TestModule(torch.nn.Module): def forward(self, a): b = torch.zeros(a.size(), dtype=torch.float) return a + b x = torch.randn(2, 3, 4) utils.compare_tracing_methods(TestModule(), x, fusible_ops={"aten::zeros"})

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import logging from dataclasses import dataclass from pathlib import Path from typing import List from blspy import G1Element from xcha.types.blockchain_format.sized_bytes import bytes32 from xcha.util.byte_types import hexstr_to_bytes from xcha.util.config import load_config, save_config from xcha.util.streamable import Streamable, streamable """ Config example This is what goes into the user's config file, to communicate between the wallet and the farmer processes. pool_list: launcher_id: ae4ef3b9bfe68949691281a015a9c16630fc8f66d48c19ca548fb80768791afa authentication_public_key: 970e181ae45435ae696508a78012dc80548c334cf29676ea6ade7049eb9d2b9579cc30cb44c3fd68d35a250cfbc69e29 owner_public_key: 84c3fcf9d5581c1ddc702cb0f3b4a06043303b334dd993ab42b2c320ebfa98e5ce558448615b3f69638ba92cf7f43da5 payout_instructions: c2b08e41d766da4116e388357ed957d04ad754623a915f3fd65188a8746cf3e8 pool_url: localhost p2_singleton_puzzle_hash: 2cf24dba5fb0a30e26e83b2ac5b9e29e1b161e5c1fa7425e73043362938b9824 target_puzzle_hash: 344587cf06a39db471d2cc027504e8688a0a67cce961253500c956c73603fd58 """ # noqa log = logging.getLogger(__name__) @dataclass(frozen=True) @streamable class PoolWalletConfig(Streamable): launcher_id: bytes32 pool_url: str payout_instructions: str target_puzzle_hash: bytes32 p2_singleton_puzzle_hash: bytes32 owner_public_key: G1Element authentication_public_key: G1Element def load_pool_config(root_path: Path) -> List[PoolWalletConfig]: config = load_config(root_path, "config.yaml") ret_list: List[PoolWalletConfig] = [] if "pool_list" in config["pool"]: for pool_config_dict in config["pool"]["pool_list"]: try: pool_config = PoolWalletConfig( hexstr_to_bytes(pool_config_dict["launcher_id"]), pool_config_dict["pool_url"], pool_config_dict["payout_instructions"], hexstr_to_bytes(pool_config_dict["target_puzzle_hash"]), hexstr_to_bytes(pool_config_dict["p2_singleton_puzzle_hash"]), G1Element.from_bytes(hexstr_to_bytes(pool_config_dict["owner_public_key"])), G1Element.from_bytes(hexstr_to_bytes(pool_config_dict["authentication_public_key"])), ) ret_list.append(pool_config) except Exception as e: log.error(f"Exception loading config: {pool_config_dict} {e}") return ret_list async def update_pool_config(root_path: Path, pool_config_list: List[PoolWalletConfig]): full_config = load_config(root_path, "config.yaml") full_config["pool"]["pool_list"] = [c.to_json_dict() for c in pool_config_list] save_config(root_path, "config.yaml", full_config)

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from torch.ao.nn.intrinsic import BNReLU2d from torch.ao.nn.intrinsic import BNReLU3d from torch.ao.nn.intrinsic import ConvBn1d from torch.ao.nn.intrinsic import ConvBn2d from torch.ao.nn.intrinsic import ConvBn3d from torch.ao.nn.intrinsic import ConvBnReLU1d from torch.ao.nn.intrinsic import ConvBnReLU2d from torch.ao.nn.intrinsic import ConvBnReLU3d from torch.ao.nn.intrinsic import ConvReLU1d from torch.ao.nn.intrinsic import ConvReLU2d from torch.ao.nn.intrinsic import ConvReLU3d from torch.ao.nn.intrinsic import LinearBn1d from torch.ao.nn.intrinsic import LinearReLU from torch.ao.nn.intrinsic.modules.fused import _FusedModule # noqa: F401 __all__ = [ 'BNReLU2d', 'BNReLU3d', 'ConvBn1d', 'ConvBn2d', 'ConvBn3d', 'ConvBnReLU1d', 'ConvBnReLU2d', 'ConvBnReLU3d', 'ConvReLU1d', 'ConvReLU2d', 'ConvReLU3d', 'LinearBn1d', 'LinearReLU', ]

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from django.shortcuts import render def robots(request): return render(request, 'robots.txt', content_type='text/plain') def home(request): return render(request, 'main_page.html', {'REQUIRE_D3JS': True}) def about(request): return render(request, 'about.html') def contribute(request): return render(request, 'contribute.html')

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import gym from gym import spaces from gym.utils import seeding import numpy as np def normalize(x): # wraps angle between [-pi, pi] return ((x + np.pi) % (2. * np.pi)) - np.pi class Cartpole(gym.Env): def __init__(self): self.state_dim = 4 self.act_dim = 1 self.obs_dim = 4 self.dt = 0.01 self.sigma = 1e-8 # g = [x, th, dx, dth] self.g = np.array([0., 0., 0., 0.]) self.gw = - np.array([1e0, 2e0, 1e-1, 1e-1]) # x = [x, th, dx, dth] self.xmax = np.array([5., np.inf, np.inf, np.inf]) self.state_space = spaces.Box(low=-self.xmax, high=self.xmax, dtype=np.float64) # y = [x, th, dx, dth] self.ymax = np.array([5., np.inf, np.inf, np.inf]) self.observation_space = spaces.Box(low=-self.ymax, high=self.ymax, dtype=np.float64) self.uw = - 1e-3 * np.ones((self.act_dim, )) self.umax = 5.0 * np.ones((self.act_dim, )) self.action_space = spaces.Box(low=-self.umax, high=self.umax, shape=(1,), dtype=np.float64) self.uniform = True self.state = None self.np_random = None self.seed() @property def xlim(self): return self.xmax @property def ulim(self): return self.umax def dynamics(self, x, u): uc = np.clip(u, -self.ulim, self.ulim) # Equations: http://coneural.org/florian/papers/05_cart_pole.pdf # x = [x, th, dx, dth] g = 9.81 Mc = 0.37 Mp = 0.127 Mt = Mc + Mp l = 0.3365 fr = 0.005 def f(x, u): q, th, dq, dth = x sth = np.sin(th) cth = np.cos(th) # This friction model is not exactly right # It neglects the influence of the pole num = g * sth + cth * (- (u - fr * dq) - Mp * l * dth**2 * sth) / Mt denom = l * ((4. / 3.) - Mp * cth**2 / Mt) ddth = num / denom ddx = (u + Mp * l * (dth**2 * sth - ddth * cth)) / Mt return np.hstack((dq, dth, ddx, ddth)) c1 = f(x, uc) c2 = f(x + 0.5 * self.dt * c1, uc) c3 = f(x + 0.5 * self.dt * c2, uc) c4 = f(x + self.dt * c3, uc) xn = x + self.dt / 6. * (c1 + 2. * c2 + 2. * c3 + c4) xn = np.clip(xn, -self.xlim, self.xlim) return xn def observe(self, x): return np.array([x[0], normalize(x[1]), x[2], x[3]]) def noise(self, x=None, u=None): _u = np.clip(u, -self.ulim, self.ulim) _x = np.clip(x, -self.xlim, self.xlim) return self.sigma * np.eye(self.obs_dim) def rewrad(self, x, u): _x = np.array([x[0], normalize(x[1]), x[2], x[3]]) return (_x - self.g).T @ np.diag(self.gw) @ (_x - self.g)\ + u.T @ np.diag(self.uw) @ u def seed(self, seed=None): self.np_random, seed = seeding.np_random(seed) return [seed] def step(self, u): self.state = self.dynamics(self.state, u) rwrd = self.rewrad(self.state, u) sigma = self.noise(self.state, u) obs = self.np_random.multivariate_normal(self.observe(self.state), sigma) return obs, rwrd, False, {} def reset(self): if self.uniform: low = np.array([-0.1, -np.pi, -5.0, -10.0]) high = np.array([0.1, np.pi, 5.0, 10.0]) else: low, high = np.array([0., np.pi - np.pi / 18., 0., -1.0]),\ np.array([0., np.pi + np.pi / 18., 0., 1.0]) self.state = self.np_random.uniform(low=low, high=high) return self.observe(self.state) # for plotting def fake_step(self, x, u): xn = self.dynamics(x, u) return self.observe(xn) class CartpoleWithCartesianObservation(Cartpole): def __init__(self): super(CartpoleWithCartesianObservation, self).__init__() self.obs_dim = 5 # y = [x, cos, sin, xd, thd] self.ymax = np.array([5., 1., 1., np.inf, np.inf]) self.observation_space = spaces.Box(low=-self.ymax, high=self.ymax, dtype=np.float64) def observe(self, x): return np.array([x[0], np.cos(x[1]), np.sin(x[1]), x[2], x[3]])

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import math powerArr = [[],[],[],[],[],[],[],[],[],[],[]] baseArr = [0,0,0,0,0,0,0,0,0,0,0] jamArr = [0,0,0,0,0,0,0,0,0,0,0] input() N, J = raw_input().split() N = int(N) J = int(J) def JamCheck(): result = True idx = 0 t = baseArr[2] for i in range(3, 11): baseArr[i] = 0 while t != 0: if t % 2 == 1: for i in range(3, 11): baseArr[i] += powerArr[i][idx] idx += 1 t /= 2 for i in range(2, 11): primeCheck = True j = 2 length = int(math.sqrt(baseArr[i])) + 1 while j <= 10000: if baseArr[i] % j == 0: #jamArr[i] = j jamArr[i] = baseArr[i] / j primeCheck = False break j+=1 if primeCheck: result = False break return result def PrintJam(): print bin(baseArr[2])[2:], jamArr[2], jamArr[3], jamArr[4], jamArr[5], jamArr[6], jamArr[7], jamArr[8], jamArr[9], jamArr[10] for i in range(2, 11): for j in range(N): powerArr[i].append(i**j) baseArr[2] = 2**(N-1) + 1 print "Case #1:" while J != 0: if JamCheck() : PrintJam() J -= 1 baseArr[2] += 2

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#calss header class _ANARCHIST(): def __init__(self,): self.name = "ANARCHIST" self.definitions = [u'a person who believes in anarchism: ', u'someone who wishes to destroy the existing government and laws: '] self.parents = [] self.childen = [] self.properties = [] self.jsondata = {} self.specie = 'nouns' def run(self, obj1 = [], obj2 = []): return self.jsondata

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# coding=utf-8 # Copyright 2023 The Google Research Authors. # # 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. """Config for the SC09 dataset. """ import ml_collections D = lambda **kwargs: ml_collections.ConfigDict(kwargs) def get_config(): """Get the default hyperparameter configuration.""" config = ml_collections.ConfigDict() # Dataset configuration. config.dataset = D( name='speech_commands09', train_split='train', eval_split='validation', test_split='test', max_length=16000 # Some audio files are shorter than 16000. ) config.batch_size = 256 config.eval_batch_size = 512 config.mask_shape = (16000, 1) # Training. config.num_train_steps = 1_000_000 config.beta2 = 0.999 config.clip_grad = 1000. config.weight_decay = 0. config.ema_momentum = 0.995 config.learning_rate = D( base_learning_rate=1e-4, factors='constant', warmup_steps=15000, ) config.restore_checkpoints = True config.checkpoint_every_steps = 5_000 config.eval_every_steps = 2_500 config.log_every_steps = 1_000 config.sample_every_steps = None config.seed = 42 # Evaluation. config.sample_batch_size = 16 config.num_eval_passes = 32 # Model. config.model = 'arm' config.output_distribution = 'discretized_logistic' config.num_mixtures = 30 # Architecture. config.arch = D( name='diff_wave', config=D( num_blocks=36, features=256, dilation_cycle=12, ) ) return config

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#mathsquizv6.py #Howard Li #import the tool kit interface (tkinter) modules from tkinter import* from tkinter import ttk from random import* #parent class class Mathquiz: def __init__ (self,parent): '''Widgets for welcome frame''' self.Welcome = Frame(parent) self.Welcome.grid(row=0, column=0) self.Titlelabel1 = Label(self.Welcome, text = "Welcome to Maths quiz", bg = "black", fg = "white", width = 30, padx = 30, pady = 10, font = ("Time", '14', "bold italic")) self.Titlelabel1.grid(columnspan = 2) self.Nextbutton = ttk.Button(self.Welcome, text = 'Next', command = self.show_Questions) self.Nextbutton.grid(row = 8, column = 1) #Name and Age label self.NameLabel = Label(self.Welcome, text = 'Name', anchor = W, fg = "black", width= 10, padx = 30, pady = 10, font = ("Time", '12', "bold italic")) self.NameLabel.grid(row = 2, column = 0) self.NameLabel = Label(self.Welcome, text = 'Age', anchor = W, fg = "black", width= 10, padx = 30, pady = 10, font = ("Time", "12", "bold italic")) self.NameLabel.grid(row = 3, column = 0) #name and age entry self.NameEntry = ttk.Entry(self.Welcome, width = 20) self.NameEntry.grid(row = 2, column = 1, columnspan = 2) self.AgeEntry = ttk.Entry(self.Welcome, width = 20) self.AgeEntry.grid(row = 3, column = 1) #Warning, Difficulty level label and radio buttons self.WarningLabel = Label(self.Welcome, text = '', anchor = W, fg = "red", width= 20, padx = 30, pady = 10) self.WarningLabel.grid(row = 4, columnspan = 2) self.DifficultyLabel = Label(self.Welcome, text = 'Choose diffculity', anchor = W, fg = "black", width= 14, padx = 30, pady = 20, font = ("Time", "12", "bold italic")) self.DifficultyLabel.grid(row = 5, column = 0) self.difficulty = ["Easy", "Medium", "Hard"] self.diff_lvl = StringVar() self.diff_lvl.set(0) self.diff_btns = [] for i in range(len(self.difficulty)): rb = Radiobutton(self.Welcome, variable = self.diff_lvl, value = i, text = self.difficulty[i], anchor = W, padx = 50, width = "5", height = "2") self.diff_btns.append(rb) rb.grid(row = i+6, column = 0, sticky = W) '''Widgets for Questions frame''' self.Questions = Frame(parent) #self.Questions.grid(row = 0, column = 1) self.QuestionLabel = Label(self.Questions, text = "Quiz Questions", bg = "black", fg = "white", width = 20, padx = 30, pady = 10, font = ("Time", '14', "bold italic")) self.QuestionLabel.grid(columnspan = 2) self.HomeButton = ttk.Button(self.Questions, text = 'Home', command = self.show_Welcome) self.HomeButton.grid(row = 8, column = 0) self.Problems = Label(self.Questions, text = "") self.Problems.grid(row = 1, column = 0) self.next_button = ttk.Button(self.Questions, text = "Next question", command = self.next_question) self.next_button.grid(row=8, column=1) def show_Welcome(self): self.Questions.grid_remove() self.Welcome.grid() def show_Questions(self): #Error checking for empty or non-text user entries for Name try: if self.NameEntry.get() == "": self.WarningLabel.configure(text = "Please enter name") self.NameEntry.focus() elif self.NameEntry.get().isalpha() == False: self.WarningLabel.configure(text = "Please enter text") self.NameEntry.delete(0, END) self.NameEntry.focus() #Error for checking for empty and age limit cases elif self.AgeEntry.get() == "": self.WarningLabel.configure(text = "Please enter age") self.AgeEntry.focus() elif int(self.AgeEntry.get()) > 12: self.WarningLabel.configure(text = "You are too old!") self.AgeEntry.delete(0, END) self.AgeEntry.focus() elif int(self.AgeEntry.get()) < 0: self.WarningLabel.configure(text = "You can't be smaller than 0?") self.AgeEntry.delete(0, END) self.AgeEntry.focus() elif int(self.AgeEntry.get()) < 7: self.WarningLabel.configure(text = "You are too young!") self.AgeEntry.delete(0, END) self.AgeEntry.focus() else: self.Welcome.grid_remove() self.Questions.grid() except ValueError: self.WarningLabel.configure(text = "Please enter a number") self.AgeEntry.delete(0, END) self.AgeEntry.focus() def next_question(self): x = randrange(10) y = randrange(10) self.answer = x + y question_text = str(x) + " + " + str(y) + " = " self.Problems.configure(text = question_text) #main rootine if __name__ == "__main__": root = Tk() frames = Mathquiz(root) root.title("Quiz") root.mainloop()

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# -*- coding: utf-8 -*- """ Created on Thu Oct 17 11:30:26 2019 @author: Yohannes Assebe """ import csv from matplotlib import pyplot as plt plt.title("Africa Annual Inflation per years") #print(plt.style.available) #plt.style.use("seaborn-notebook") with open("african_crises.csv") as af: files=csv.DictReader(af) x=[] y=[] for row in files: x.append(int(row['year'])) y.append(float(row['inflation_annual_cpi'])) plt.scatter(x,y) plt.scatter(x[1],y[1]) plt.xlabel("Year") plt.ylabel("Annual Inflation") plt.grid(True) #plt.legend() #plt.ylim(0,100) plt.tight_layout() #print(plt.style.available) plt.savefig("AffricaAnnualInflations.png") plt.show() import pandas as pd

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# -*- coding: utf-8 -*- name = "seexpr" version = "3.0.1" description = "SeExpr" variants = [ ['gcc-6.3.1'] ] def commands(): env.LD_LIBRARY_PATH.append("{root}/lib")

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#!/usr/bin/python # coding:utf-8 from app.models import Manufacturers from flask import current_app from app.models import db from app.utils import check_field_exists from app.utils import check_output_field from app.utils import check_order_by from app.utils import check_limit from app.utils import process_result from app.utils import check_update_params def create(**kwargs): # 1 获取参数 # print kwargs # 2 检查参数 check_field_exists(Manufacturers, kwargs) # 3 插入到数据库 manufacturers = Manufacturers(**kwargs) db.session.add(manufacturers) try: db.session.commit() except Exception, e: # logging current_app.logger.warning( "commit error: {}".format(e.message) ) raise Exception("commit error") # 4 返回插入的状态 return manufacturers.id def get(**kwargs): # output: [manufacturers_name, user_interface, user_phone] # where: { # id: 1 # } # limit: 10 # order_by: id # 1 整理条件 output = kwargs.get("output", []) limit = kwargs.get("limit", 10) order_by = kwargs.get("order_by", "id desc") where = kwargs.get("where", {}) # 2 验证 # 验证output check_output_field(Manufacturers, output) # 验证 order_by，字符串分割，字段是否在表中第二个字段必须为asc desc order_by_list = check_order_by(Manufacturers, order_by) # 验证 limit 必须为数字 check_limit(limit) # 验证 where 条件，先不验证 pass # print callable(getattr(getattr(Manufacturers, "id"), "desc")) # 函数对象 # getattr(getattr(Manufacturers, tmp_order_by[0]), tmp_order_by[1]) # 调用函数 # getattr(getattr(Manufacturers, tmp_order_by[0]), tmp_order_by[1])() data = db.session.query(Manufacturers).filter_by(**where)\ .order_by(getattr(getattr(Manufacturers, order_by_list[0]), order_by_list[1])())\ .limit(limit).all() db.session.close() # process result return process_result(data, output) def update(**kwargs): data = kwargs.get("data", {}) where = kwargs.get("where", {}) # # 1 验证data # # 2 验证where # # 3 更新必须提供id，只按照id更新 # # id 要为数字且大于0的整数 check_update_params(Manufacturers, data, where) # update # ret = db.session.query(Manufacturers).filter_by(**where).update(**data) # 调用模块执行出现错误：update() got an unexpected keyword argument 'rel_cabinet_num' ret = db.session.query(Manufacturers).filter_by(**where).update(data) try: db.session.commit() except Exception, e: # logging current_app.logger.warning("commit error: {}".format(e.message)) raise Exception("commit error") # print ret return ret

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#!/usr/bin/python # -*- mode: Python; tab-width: 4; indent-tabs-mode: nil; -*- # ex: set tabstop=4 : # Please do not change the two lines above. See PEP 8, PEP 263. # import sys import os from optparse import OptionError from osprov.optparse_ext import OptionParser from osprov.scripts import bootmode from osprov.osbp import logger from osprov.util import process from osprov.decorators import HandleShowErrorMessage from osprov import diskmgr from osprov.diskmgr import const, disk, diskmanager, partition from osprov.server import ThisLocalServer from tempfile import mkstemp LOG = logger.getIt("windows_image_capture") IMAGEX_CONFIG_FILE = """ [ExclusionList] "\\Boot" "\\Program Files\\Opsware" "\\Program Files\\Common Files\\Opsware" """ class WindowsImageCaptureOptionParser(OptionParser): """ Option parser for this step """ def defineOptions(self): self.add_option("--bootMode", type="string", help="boot mode of the server, can be UEFI or Legacy (boot mode is autodetected if this parameter is not passed).") self.add_option("--systemDiskNumber", type="int", default=0, help="system disk number where Windows is installed (default disk number is '0').") self.add_option("--systemPartitionLabel", type="string", default="System", help="label of partition where Windows is installed (default partition label is 'System').") self.add_option("--wimFilePath", type="string", help="path where to save WIM file (Currently using CA 'WimFileName' to provide WIM file name).") self.add_option("--wimScript", type="string", help="path to ImageX config file.") def validateArgs(self, opt, args): if opt.bootMode and not opt.bootMode.lower() in [x.lower() for x in bootmode.SUPPORTED_BOOT_MODES]: raise OptionError("Invalid boot mode: " + opt.bootMode, "bootMode") if not opt.wimFilePath: raise OptionError("Missing parameter: --wimFilePath", "wimFilePath") def captureESP(freeLetter, wimFilePath, log=LOG): process.runIt("imagex.exe /check /verify /capture %s: \"%s_ESP\" \"ESP\"" % (freeLetter, wimFilePath), checkExitCode=(0,), log=log) def capturePartition(windowsDriveLetter, wimFilePath, configFilePath=None, log=LOG): if not configFilePath: fd, configFilePath = mkstemp() with os.fdopen(fd, 'w') as f: f.write(IMAGEX_CONFIG_FILE) process.runIt("imagex.exe /config %s /check /verify /capture %s: \"%s\" \"System\"" % (configFilePath, windowsDriveLetter, wimFilePath), checkExitCode=(0,), log=log) @HandleShowErrorMessage("Windows Image Capture", LOG) def main(): # get and parse arguments options, remainingArgs = WindowsImageCaptureOptionParser().parse_args() wimFilePath = options.wimFilePath.strip() systemDiskNumber = options.systemDiskNumber # get bootmode (legacy bios or uefi) if options.bootMode: bootMode = options.bootMode else: bootMode = bootmode.getCurrentBootMode(ThisLocalServer(), log=LOG) windowsDriveLetter = disk.WindowsDisk(systemDiskNumber).getPartitionWithLabel( options.systemPartitionLabel).letter partitionTable = diskmgr.getPartitionTable(bootMode) if const.PARTITION_TABLE_MBR == partitionTable: print "Capturing Windows Image based on Legacy Windows Partitioning Schema" capturePartition(windowsDriveLetter, wimFilePath, configFilePath=options.wimScript) elif const.PARTITION_TABLE_GPT == partitionTable: print "Capturing Windows Image based on Uefi Windows Partitioning Schema" freeLetter = diskmanager.WindowsDiskManager().findFirstAvailableDriveLetter() partition.WindowsPartition(systemDiskNumber, 1).setPartitionLetter(freeLetter) captureESP(freeLetter, wimFilePath) capturePartition(windowsDriveLetter, wimFilePath, configFilePath=options.wimScript) if __name__ == "__main__": sys.exit(main())

[ "apua.juan@hp.com" ]

apua.juan@hp.com

b3f108e068454d46e36179dc7ee8c4f4e19a3dcd

9c517135ceebe11b88a673f707c865470eac91a8

/layers/classifier.py

6d27ff88218a39e7247f85c3e1d23be4a34a947d

[]

no_license

chenun123/reid_baseline

fd6d516a8badcda81484a98c567c92a34bf0b457

315ef25801208fc0d3f7d91fda009089b0901313

refs/heads/master

2020-12-17T15:32:30.223860

2020-01-17T10:55:57

null

0

null

UTF-8

Python

false

1,489

py

# encoding: utf-8 """ @author: liaoxingyu @contact: sherlockliao01@gmail.com """ from torch import nn from modeling.losses import * from modeling.backbones import * from .batch_norm import bn_no_bias from modeling.utils import * class ClassBlock(nn.Module): """ Define the bottleneck and classifier layer |--bn--|--relu--|--linear--|--classifier--| """ def __init__(self, in_features, num_classes, relu=True, num_bottleneck=512, fc_layer='softmax'): super().__init__() block1 = [] block1 += [nn.Linear(in_features, num_bottleneck, bias=False)] block1 += [nn.BatchNorm1d(in_features)] if relu: block1 += [nn.LeakyReLU(0.1)] self.block1 = nn.Sequential(*block1) self.bnneck = bn_no_bias(num_bottleneck) if fc_layer == 'softmax': self.classifier = nn.Linear(num_bottleneck, num_classes, bias=False) elif fc_layer == 'circle_loss': self.classifier = CircleLoss(num_bottleneck, num_classes, s=256, m=0.25) def init_parameters(self): self.block1.apply(weights_init_kaiming) self.bnneck.apply(weights_init_kaiming) self.classifier.apply(weights_init_classifier) def forward(self, x, label=None): x = self.block1(x) x = self.bnneck(x) if self.training: # cls_out = self.classifier(x, label) cls_out = self.classifier(x) return cls_out else: return x

[ "sherlockliao01@gmail.com" ]

sherlockliao01@gmail.com